From 2bda02ca0cdff8b95c9525ac9ce50ca5022384fc Mon Sep 17 00:00:00 2001
From: Kevin Lane <lane.kevin.a@gmail.com>
Date: Wed, 30 Jun 2021 14:41:23 -0700
Subject: [PATCH 01/73] Add ODE solver

---
 torchts/nn/models/ode.py | 58 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 58 insertions(+)
 create mode 100644 torchts/nn/models/ode.py

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
new file mode 100644
index 00000000..76933707
--- /dev/null
+++ b/torchts/nn/models/ode.py
@@ -0,0 +1,58 @@
+import torch
+from torch import nn
+
+from torchts.nn.model import TimeSeriesModel
+
+
+class ODESolver(TimeSeriesModel):
+    def __init__(
+        self, ode, init_vars, init_coeffs, dt, solver="euler", outvar=None, **kwargs
+    ):
+        super().__init__(**kwargs)
+
+        if ode.keys() != init_vars.keys():
+            raise ValueError("Inconsistent keys in ode and init_vars")
+
+        if solver == "euler":
+            self.solver = self.euler
+        else:
+            raise ValueError(f"Unrecognized solver {solver}")
+
+        for name, value in init_coeffs.items():
+            self.register_parameter(name, nn.Parameter(torch.tensor(value)))
+
+        self.ode = ode
+        self.var_names = ode.keys()
+        self.init_vars = {
+            name: torch.tensor(value, device=self.device)
+            for name, value in init_vars.items()
+        }
+        self.coeffs = {name: param for name, param in self.named_parameters()}
+        self.outvar = self.var_names if outvar is None else outvar
+        self.dt = dt
+
+    def euler(self, nt):
+        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
+
+        for n in range(nt - 1):
+            # create dictionary containing values from previous time step
+            prev_val = {var: pred[var][[n]] for var in self.var_names}
+
+            for var in self.var_names:
+                new_val = prev_val[var] + self.ode[var](prev_val, self.coeffs) * self.dt
+                pred[var] = torch.cat([pred[var], new_val])
+
+        # reformat output to contain desired (observed) variables
+        return torch.stack([pred[var] for var in self.outvar], dim=1)
+
+    def forward(self, nt):
+        return self.solver(nt)
+
+    def get_coeffs(self):
+        return {name: param.item() for name, param in self.named_parameters()}
+
+    def _step(self, batch, batch_idx, num_batches):
+        (x,) = batch
+        nt = x.shape[0]
+        pred = self(nt)
+        return self.criterion(pred, x)

From 945321aafe2944d6329d5f19703e1cd9deb86992 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Wed, 18 Aug 2021 08:15:10 -0400
Subject: [PATCH 02/73] Added Lorenz63 data

---
 examples/ode/lorenz63/Lorenz63Data.mat        | Bin 0 -> 4626139 bytes
 .../ode/lorenz63/Lorenz63DataGeneration.m     |  39 ++++++++++++++++++
 2 files changed, 39 insertions(+)
 create mode 100644 examples/ode/lorenz63/Lorenz63Data.mat
 create mode 100644 examples/ode/lorenz63/Lorenz63DataGeneration.m

diff --git a/examples/ode/lorenz63/Lorenz63Data.mat b/examples/ode/lorenz63/Lorenz63Data.mat
new file mode 100644
index 0000000000000000000000000000000000000000..6915e2f9897c88e0f4aeb5d28550c501d7001629
GIT binary patch
literal 4626139
zcma%=Q*$N^kcB6<ZQGjIwr$(?#I|ianHX<u+jcT>^2XV(wrcP9+?=ld0bPC0BQLBb
zCoDqD!N^Q3FRaF3VQptlPpo8T>}KKUV$bv6PE`6gJ3X<ei@C9zxf!ve0}rw0e=h89
zNzB4U%*@5Z!pg(KPRz>8%0m4A)vx~(h_pP?f3s@3#4oR0y$o+P`CGgfw$#+qPBx^d
zQ?=YC*9w?2>QZv{DfH;lDD*O6HLLO<KeA+zGF{YUNQ7{a;$-+Tk+9t_-P@0~?zv6d
zg2&o3zN-yjAMmV;QJaOO3FDM*ggml_-1+<V9U%Jo^OY}}i^=LbY=KgMeE8vas77`A
zvu7$s{_;bRv)NJ-)9!~s@%O45Q>H!Y>D$SN&aobChC^E_Ymb?JaehKaach(A-7AQO
zbmA6^#-2}uArS{tohf6|+#Nnz=vLhx?lH5nALx?VJlZ&J_fkW&ntDs>Gj_8L>l1yx
zTz^D>#}grLIX>$kKQ$_bF)8{0r_L%Ss8@mXksW|B@-G4nEifQD_$HSVccPaX*I6U0
zb$Y*>+J0~c;9)0&Ze{NonXE^DDQ$i`>Pc2yq<@mFF2PpZ>`umnS-pddVT%n_4*7+Q
zkoRTH^KnEk^@&&CcyAPDWgp|eK$YRVfaXhg{g?;0<VnUWh_e!TIF!M|LH>;%waOmV
zu#^XN$nZM~v(CME4v9~|GnrDnJqM7T46edVz}9|<a?&(Dz9HrO?^CcCD^4G<1ZUR&
zvnp=gQZZA!Y&iS#?KK@)zPRWQ>No`!p}R+)vcZ@v1-F&wVS)L|>zwd&t`aKlt6;G9
z_Nn5=PI-Bf6U}YJpH!f2T@9M7O2uB*yccyktJ5Ws#0Y|r9i)h1SS74e>9XuIkx<-j
zxhALKAsu|mQY3exDzEhu%&m1KK&~S9x!Uk1jJtca7&}X+YW%Oi3KXphCCPs{1~5f%
z+%KSQJ(k1i#ypu@<?q13xTqY6{PZss^lmXU3xp`k$t2+bto2Dcsr3iYn|vaZc)qL-
z2q}V~S)KN`#W68z6)a`e6vv3=t#7T!UkRr>!Sp_icP$dX;A*+3=XqkXDsa{-0t2#k
zG$l1X8fyeeqw7%)%;+oIA5y+6X`K2V?$Uc}1-gfCf91pO8dx>dnu0?>9p4mnu$n<#
zZ&4VJ{;|4Eng!U8Dmh&bo(30OHunF{LY1`)>QxwiPr0X@zn>GIbPtD(<;#Hx8P!QV
zcLuE5m*Ld%FL~*BlfZq>3=%m$E`%q2&JmSZqz~>(mJM~6v>HopM5~sc#2A0uAFbEB
z;#cyrF7*6sCd8ledN~hCCX{<4cx~{@h9fg+N;$)iHO?J&79g<ub=jwxmoR%4vQRns
zd&{;w@iV1r_0$?XzyKhVaC(2Rd?Tn3=*L}{ozwQM+sL9-$JLQiFcpDbILF(g{;U0X
z9V_FN5hQ~9U}8X&j|-o~Pjv_^aTW&M(K1I!I_dh?_37Z$GY(XV*A$8QM7{sngZzHh
zay8Z4`;^g9enppnjK-Z66VT2e1BMzh*2fB3E@*8txvgv+_b{S(Mhb(Hxj`yvuAU9F
zfHYz>D&aRWjb`9=&p7ydg+fQ}dmHwRqtD}N)gtC-hvTLKkrrsiE7oI9I`e?F{0cz!
z7=wA|2$%D~96rDEJ9s;Vwh*JeCQT-`=GkoPi3TqySZptDWzu9n`{Bj@NmQ2^dYsLk
zV>Kd<hX&_h)6n*)ivn-y$v)^UrLJ9D4hmHgbR~7MERmn?G$`N?0{Zo|qFr|<@-!A-
zfbV__Yx;SBb{G2wE@1-Sx7T(CM4R-PqK3iB@Ls88oTF^*{>#Z^Z~M~)al5p!PFYN}
znWDaH6Q-=z{hp6y0!4P?K*hC)0v3UMGF<WRFMY({lRbA!0h4zFcz@^Cm>b;-kE%+H
zxNGnASL{id;1GOA;2HiznWIMSVnks!Qj_Nla^}I6n34k4A~IhKRLp;#m4C&lCLB|U
z1V)=N#;E^`F**DuIt8q~gHRWIG96~G(k%pI&ye#HQDT<Eapv@54uBbW>d1;Y{u3xL
zDdA$HY`f@!W1PkeI;zQlfE|p|88e_MYodWH<{7c=PUG(AedT=KP=rT#;N;M&w%FHe
zmoNXVEz(i^*K*$=m`lRuC#NdbtWa3-8FkBB<Q1iJ<{z6ltbPfSBlTbN!hhnHx1N#^
zcV0D$QZ@DT&6W?GzbjeqCX<fOzac=iN*z8v91HkPtH;&z-z3J`Xwm~s1c<)*yiif_
z>m#d5yQ=#zd2BXjtbDZ|4-RJmGbuwd=PW+H`63tu?ZaJ_)(H=PHkWR4%&UWq5#v*?
zuiW@>yv>bz5}_bG>-DePG{r^hdJ?~F-9qgK?!688I!3C_M(j03FH81nBIwRL);$xy
z#d4sk&)Ogv){EoCVTZyri58qQ8w%H$N5h6A&R`Mf+2@Tp46n_Y2-*qfXP9jE2URF4
zRNyG&Yq`%+7D-3@UFB$o#J%-i3(?=Q-c-<T<)D&otk~wM4$9&s(6Ov|dv~?-DUH)q
zq$JOIAOjGf_x{diz|9rAHc!$|Sm8b{jqs%h<z`zc#Gzr`Br;L3^d&8fjLxgZR06hI
zm#08&8R1iq_}@ITgC7K94mIVOnW?Qx-uX$eQnSs7&NG$nt2Lx={mF_I9SnSnsP+eY
z+M3pLF==Uqgtp)G<(6T!JnfmB4#Y$@`+f)FR&!}U0{RArgG6z;gK9eFS*VD$J;K9Z
z4#e}FL*$+uXniOTMj?(8j_k|nE;?R>mlmhwFzd76CsMbE!X!Pv%J@~!E3>=WY&R$|
z4I(rA$fC(!egs;8OK?0YeWekP3QhA(VuLjMtXSV)emezX7KJZg1V8G;a5Dkl+x^yu
zg8}U+OlS7S`@N#4S)LKv>+|J{j-0a)AA<i*0j}6wS1eN&HGFvOZrFZ?5@*6yJAsgZ
zZXD{5fZ`hYg1C?x#Y+k9hd*fLZG8G+QIiBKANceeS}x<;|2|O&OZzqh)@I@>V|424
z4{(3S1I_6I`$oWGBykwxjOE~QroQ;DrzPIg)k4aRLH&Mww0L8(yrdi>Sa*WrP=Jl(
zQ4<kHJL-rDx=}ng_dU60v!fV6?;a%eeo8Y5aL}IvVvmX5XMg{$dl}fDM2(sW^dS7C
zGEz<rPMQu}nzU?q4XmZUH0C4iG5s_eH)(0f7<g|rq=X4)g%gYbUK9OZdqk^Q;3ld~
zq6s?b`8GWqIc?yCeD2G*Ff+owKYY#*?M)9xV=K}euE3G;?`<3?Sia5Y!oEHx=zG$Q
z&t6&Oe&y%G(7aI6*J^3x9m!v>HNieL9K#eY=4<{g8yUQ9Bl#_lBFFdQqj~VI12V0W
zeU7bcbWpjRAKxY}*JB%SbP<#R>V(!8;JuH9riegz#b|B3FNuZP>!9_kGlhUCygT!i
z>ZVBE0~zce+6`2cBJBRK>+{q5m7E^;zkv4;9<UU|pEMnE%22Ww*M@>fV^XGrjJZ5q
z9)Sx^9DP1nXsFVWTHQ6a1%~>A8Cpl4eDx<f%Wo8+8UHtUBh*J*(Yr2qf^LV;NYpsk
zLhf(Pt0-g0dPl`s9~3#!9H`lU>vVs9&E`-iuoe@AGn8BzDBsJ;`ph**fb<}<+rjcn
zJ*Bk)rsFWwmgkduEWP!A?S<3+ls@2K-@p6{`~-n8=k2jIQw5*jd-5N&4Uf0M@l&bi
zhw%4VOwPYS6?&dI8MP#uzen(veu_de(<{o~ejSqdl|#TG+pRF4^kcBJOA;Sj!s!b)
zObx1J_<jb<vzWB4<}tF88~f255)O>J8+h2q{HJ*7mYc(D19bk412wDb=;c;`WJq|f
zX6Pd_v_5-q1JEaD|M^hoWe-D&IHyRp7R0R&&zhp~ls*@K6GPpbgo;j!aqojic%I@t
z=WR%4mfzvNsuLihtp36ARZ~{xuXj*WlMy++ttyKs_b!~@+h1wUh)(6r&S+RpcB%p%
zVx%j2HFE50$)vJiOogO>j(N)t4wx6W6}Ny3&X~Y{lv8t6zP^P5&~fV0m4UOsqaf?k
zFp>xh*!O$L1Vf4r_j@Txr6pFvWvh>M*>okRwUPPCUNM5-ni!wW8HWQzSFb<dRp{)+
zjyZLk@}qC594bV6E+m3q^~J-^upSd$0z`%q11keL21whaqi6P4JI=Ae?Wg!QyUDV`
zW0SLI;uCtzx|ZMbbV0$qC8xEMDHX*x8wqQ`n`05Loyn&&ZgjoLnas?{3KPlP;d^x7
z;2Ig9AsBUZKHS>#0*Pho{f!H{7YRKj0xg28Mah9$GJW0X*+t|fv;<&{voWnMsfSWh
zG@$FAO+PC>z%+;v$F)Pqkf*hEE<c(RSMyuHEiC>-HFXQZ6#rb#K<|YzE4nGw?L7;X
z=Vgnp!d1}ukK2PwyCf$D7LqilUT%5G%PU&SIuO4@ubbwk6$IgSZ@agCB0lJTw%pL6
z@958j5NRD>d^iiQBwM>B3p49vNk>Bh*v-$P)}S$N_OMT>!1tg~ndJd4&k(-VR?78Z
zTV{NBNEzY<Y$mm1i}b^`BjR{dyW|PlM@*vo)*X3#R5yl36`qXiz&}mD`eAM!nb@Zk
z9iGf_nD)(`x#PjfwFMwW{*p4<XKfqGHuZ=4O+M4%AlJqtsCamg|F=VIE(86OpQ)Tq
zUmP6nAUEy`9rpUozoq<)nZXGG9gR<CMk#z*uck|EFd|5#ctSER3EhB)SZf?C#4LW`
zQk^+*>Zu!)RHL%NSbZNL18%_<iG1g6roWs!=3x+iqodVHwW$deiJf=qw4TyUR=v94
zb2=#wruwL2wqbuj8Y&E3;J|dSdXAy|wdwvg$}xDDn(&T6N3?qh=KGqo%m=dRKD({^
zeYTqq8!^T+w$8HH_wC^01!|*`B+zBx9)^%h!Zu*$b8;9C?s{(I*7%4{8n`ECDp1SA
z-OUrezgudha2LvpXNl@Vh`&1l6^K@&?TMgmRqyd^UL6@n>Mz<fChpf!#Ufd;njXdk
zm~cC(YFc=6UM<}xAi~|7!DDeUKS<AHb1nYR#^x<5sxKw|6IE7L?%AVtuF}=m)RGy-
zdhIsnr3(@X?1p4~GBwWAxSRe>gxPGUkl+u8`DcXiv88_4FBv%JA&($J^n#9Sb_Pov
z>AUUzPXhDC*F7N12kZb?j~N!V21l%1{|ONPO~3qM$B`{}?(5*^Ze(5XOX6q?Rqa{Z
zYBA3rn8k-yusd!FR}Rr%j5)nWF*NvC^rLhJ38p)!#Sy?N5*d(3<eEPJA?eR}<hsT@
z@96vNM}t68IqK%1(m?ro>%mbJd}povTQH+WCG4)_ao=iMdQg(kzn7UNDxNRT5HOn(
z);}xb#@iPZMd;3nON6s<|2T>9TYXYwy`ffpSH{=`7~^BQQNu3xn?zhg3R>96c_?jl
ztpB0?H%(ZJ6<7Jp)AcvW9}c=cD|!YaqbPQ75L-M90v(l=Lqn8zmv)+iG)}My3VXbh
z0_D4vcYat2bx^J>munTYoS^WYi4ImgSRQ<$Z*zBrU#BApum%3)FGWD#FgG|Hx)41Z
zdmt=vv&^wid1AbeX$-*qBUzd4`xQVNe74lNAsQFp)^oZ`?Ju4lo1e>My@?B&X;wO|
zxl&T%!v9_4NPHmk_UGzB)DM}^-?E-vXz2PHrP-eq24g1tB9Qjg2(Z|)$dTGH7w4O0
z@lEcgE>PadmW{Mc=NwQ%%U=4IUfxMZcCb5ta?lgeuaZ!oK*=W}+Mf5JSzj~hZY}J{
zP?!Cc*y+vA{#I7Jdr;RAGEZte$H*V>mIO8D`8jn@sp`xWj!1|^T(tRtCi|WGP^g<|
zhPEj>@EAdkxXmM83wT#;aluBqNqZhsKv#D9mzC$;`%HfP4sP>adpyua*zh;Z7(LZu
zwi!N^*mS%+7c2gf54qP?xzW91ALF|r7V2vJl|Hg*%PbPk^T$mbzpcz@-CaIgng)lL
zcMKC!&6T8u<<cY~G1&i59O8i%{nKS((|5(1l<D;N5EljFD-ZuY+Jt)j=hNeHkRX&P
zZAX9JRC3_o1Cbw>iQ2I?{l=Nm6vT-A*-QOnF|qzh@gcy9c6XB1t3xQ~ZY!C8DjwzM
z=Y2m#N;W?{12JhSrmTZl%fYO>GB!Ayf`n%7!5VuZsNpNnY2Q4t>v>HPy@!9oEnBq2
zRJtf%@>3U)k8_<Ir6V&MQqjW=;kw-Plr%$~PM2#w;Pw&qAb@t!!k&*Tpx_R#9G9y5
zikn%|TGstal$J1-x96gX6)a~+>Jhl=@+Z)Jk}FPOC}Ww5Q_;b)(6z|-8P#OlZz(3L
zuY^6f>(V;cHz7z{b2YD(cy%HcfhnKFt4}nbt*;do%{M1RbI*qI^~YFOFInJ#X!a7A
z_Qu+@ezjx<*`!G3TL(rVMif6gnXcI}GrXDKt~mz1bB{TE1(>NQxiKVaae~3b^xDOt
zNjVuj)^4e~2D)wIpZ7}oFu=LGYsT2XcQD&xh;QW0_D2t6U#7TWE<!l6LFRTU385^-
zl7D)vzB}k%n-sN5QU|i<!T~rbJbcjteBb4u6{eb+Oj8Ndl?KDYDR-nA2qE8R^Gec<
z21Y&GwQ#R?osGYrI4>$L<x*7x>hiGrN7K4k8+6sYjP71iJ_^y$0Or;YPlp>;D}F5=
zf(LV7oO+R&1argGA^rQdop$VvvsRP56CwJ#t-!Yx=KFHJ-M$dbb!vXi10|FLMb_q(
ze|~+;EVr4K>G&+W`r3Ep2FXbEI6;<qYT8~(4?xg7{NIEd`$-lZ!AP@)zZLTjo1Au=
z6IDl=>`FhUos_s{p-!-CW>vujV|-sAu)La_vzX0Dv+fRD$;~8rUmEY8OeWg<EbQPv
z-rYsF;EBXonjEP}wXv114tjo&;9Bu>jz_pa6Kf1u0C(VU00+m-z+*(XG)XM;+70Qu
z3MmtBYy5jY1+|Ru8<V2CNlbz$dXVF%c&ty}$w4$vcq|AsKENWrsduCBueYEzTec9b
z%pva;U6+I?8CWVNI^;f`#-8sXb)>=eCC&=M7o$Vkf~3-!$FRgZD_xID2)G;z%mNp3
zmv{fE`~jRUWG|NK)?IW=#QZ3Ir+auXB)h6^6?1y<s(GyDf=E8nJ+KJCC2ONfVB+5d
zCUD!09y}a(xt`vST61B30@H_xm8?^db%A^T3=L8=PTtIVL$TM$`a<9Wm>!879wT16
zlf~ia^YrRb3j32SJ|PYp@}Q@*Xay{(<-H(Lb34XjB4%?rV;pIy3EEgTM;`p=M|)@e
zJ~@WrqRodJ^sM3Me9y;_HR+fPQ2iR8*ek`~hr?Csm#t)2dw){UTmgakA^}ZhZYS>v
zmNL=6w$7UQBK+s4==*{f7!F>I%L^Xr+sU`lT)r7;LEzlJN1qe1X@4Nu+!{(3Hybaz
zrvW@cNWMM7Ca2V3Yek+96?A^VH|_6BGx0I^snj1fITGV*_|8kvqNzFcFmw(W9z-R+
zCx(C0mAm9TTzC0M$&8K;o@EQnG>5V;?(Qae8-Zx}vagBvHy`1PVeEWDjQ&SYs%RG<
zGO|4(Q2}r{H~>A_kw5o!)kFd|CJ#F84H;p6*z6_Oa%66{S4~EbSxDJlymmv?@XjWA
z#TrZEtZJ!G@Py3xOT)|Flm?vn_eKh3r%8tH;8b-~@BrGx#uaXECtV(-N;n{9ge00?
zoZD?DHL0<B>E-X|I=;*sCx=z?OZS?<qxzf(X)aezRprvDkPcq|3Uw?MCzYfF%=g4l
z1Sp_|bD*nn2HDjKg!CZrCDo^nGKFQz>I4EHspqueaQ^i`g|oEBpb3{iZu+R$%J<^U
z_~d8gyB3$|e3Vm_>b^JbRSQhrzh`7TuXwCkMSG;v1z1#msNPBYh)X4LV5J|oQxoM%
z3j4Oy@Sqw}V|N{F&~ZazwSC>u<(Mcd@%_k+XN#&W1DpeXbXXYe^ftJ3gzgNdz0WAB
z@s)2e2=h*exR6n3@fy&Cg_*vEdpl5ZEzre1!~{-+%rn<e$Oh*;quYl!8H!7G%Ed>I
z((tA134AO$bE4HVEDvc8+|b!<)tu;0`*#l?!dh~xI%F4_%$1>v&H}%=`Dai1we-|4
zLr`h!@!qzd<r0FT?Kd@5Sh<~~OzUPk=n?9MHF~#jr}`O_R3$7ip<MV?X7(bGw-K2e
z^wy{PRc?iZ#RZ^Nr*yBYiHeJGRj;;v7}2)GzZ|dYU5RPbcWm(veChRT$<<Ucv8!JB
z*a7iiG}4T~5SZR1y!nK9Y$KE8SrC^QTSW9~vsO!klB3iiAQLzKU;{(@YCP3v&lApR
z=n6E!6@B}0*l_cF;oDxBF)G$H6Cy>A)?hytrwAy8j@GNOq2h)+9b@g6YPK4#-0Q#C
zDyJk+JXN#ia8)46oUHWUB#)e+-QFn)=@&ab@+SMZ%0##(7u^5|1y-k+0tpcba6JCP
z&8gyuap5@EcSvrzYwf@LibE8?J(SP?Ron2L*R~qG5@$x4t|%il2E{?uWMb%Cc`GsC
zH9(iiJ>_=!m)>yT&B?7uu9n~L1A2(!H;A%cXJz&~UcvCv<mDV#3{m|9BnMNf2M2@B
zY?u%MrX{aK+ye*X0&1^4{KQc7eq_&`ERA7tebUJcWQ2YlTLgVaQJioXTS)718BNM-
zuV3BEaDLF=B0hmJ`_&g$y8d0EeQH#p6=A@8<IykXxi>zzG71Sg(N(n0p`R5k2K`^(
z#Z~UPQ}pz5zJ9<$SiIhhc1-+j@;}!@r5dd&m^Ow)6ZzI=#-}%bmdnvW{PGDrx^HOV
z+(QVO$Dy>>14?baZh1gTIV2%2(Hrl8Rl@c(sBre|=}e6ulz*Tu1U%dFEJ(bQG(!-J
z)?AsY&2VX94whARMr)BV+t|P3U(d$HAWK^J{_H;{w1afV>1n;*G`vARC&26J%zkp(
z(1l*%*~=;7G%~--msBi*Kt>z>6q#O-f;T}3b9k`HZBtC9@UbKW)#vRIP1&Ig(rsKR
zEXK+4bxXZ`)xz_PO1{)MP>zNPBkdK)QM%0gj&v13iV;!trnzoWgHzyqEXQ)leRhuV
z)01X}9|)!sXgA3~_f^@4KQs^Xyz@4&=Bu#Wf_}LD%|f=x76r2NTNnipIhw?dkEPYr
zj3HUW3Ik}l-$zj(cUiZylx3ZWhs)nA?@NEhb6tC<Oqm-wPAm6bSeo^;733A{F#aJR
zRP+PJp>{r7EM`}vo7tt&Qy~~oUgBU)<}j8YT~dhxDDsn?L^ACpVKDly=A)TRcHQjM
zIpI)zQW}psYF_C`ISDSmPN@o)l)r^ub8xv)efW3W`{a~=ac*jP*6)-Q<!X1@-LT0&
z%_9;ayFZfT7`r!4CEvwJt@-5EMPZs-`d~0U92^7%Bxu{K9eX);yz;7`36_{n+Y1UP
zeV7kh2dJfD>9%#a11N8FRn6RV6Oi70vG_mfghv!DVUaw;txO_C<4>}b36JL|4L5cQ
z3$JNDQX9$T-PZjjPmLjvJm~c|JZCe4Ylyh?Rv6ZX@xItZ-9wQA-K@{#vFu^{^qMvl
z*-N8T6_4USn~n$EjdM+Jv2i%HeDu;6sEXX&?+5cC_`FV8xqI59Vi|ZiAEC&k#@qGi
z{GNj0s$(n>vUZ6}UKaln&a{)8#oS;hM*(@ddY_W_NpU7b>pe>7Calco>lk29gS&l`
z4D=XrR4w3c^Z<&ZfhD5uk{V9J4z4%K6DF*X+=`I7?ZrkyEyscaad2smaa(h{WTrFe
zQ<Owo)LI`mC434l`|-y42ipd$ZIaQ_MS>V7p9%5Zfa6~zaHxx{=%4!zBc7?HMT)+6
zxCyj~PuW=OUD~SigS+OY!ZZldV|EOf$e(h$M#esu;6-R>x8VS?ceeMi)7LaJ#Pi<*
zU&B|$`zlq4Q}1YQJwxU+5rhYSbnZ)fu-?`9Y)4|g#g03<Y&*SANbs3k;2Iodiw~n$
zQp3cjaIoD>Z|6dd5ZP%O3kcri#hZjTO}F6S`TEEU=QA@6B``GS;R;FGU5icgvC#;)
zjb#v&@n3W5a+sGShl;w3CLcm?ZMxl#y0MxH1bv<fRYu+Xc6^|acFawtM~i@$5cpo1
zO9x$Uf&{#>$MgiL+L^2PzK=)zi1@NmY%o=&rt2xd6Dm+GuYLC}&l6r!rc^F%r|-ok
z;>T8{-t4gV_RATdl+(df5|d-TE-N!z_wdIM-*4E0uiP7*L5Mp3t-ib%%feul?{v!G
zE%a5i8Bj+?a(!e+dwcVJwL=3yG}mtz!#FW;OH_d$CmVT+gRxUX07bge&?rgS49Z;h
zcf}DS#sXfJ)@ERV1>5-O;Eu}yPc@%a*7)b8Ykbs{9Ya7|l<h&}hPA?(1R)>#T$Sv#
zk%?Y>+5nh41AV^ih5F<{&{(oh{VwQXfFBi>%;Mj~p@ekR%QInb+oyeDSIlT1+dgfy
z$9AgTp06}7LxbxL2cM9R9}3N@o|#h{V~UIAr)Oe;Pon?u^Un`@rZ-pW9#J@*u2d1T
zMS-{FxJGJr9+@9asTqwlg)U6pq6M6^M_BPS3PaoVgEd7dMA=`dDthy{@dw|)z}YjO
z2Jf@ntK5&y0-6=CwJOXA;TuDJA6F!}_cMMT;4<_)gLF954<e+04qXd`IX$%3aykny
zlh6T-?W7)&DY2>l+f%I|Tr}8p1QRxla)<f*uUiht1zc;kI3N1?#7OL9B=q6|w7|$+
zN0!9x*01Z6Icz;(yiA`uiI~kqoQb_Xwpou`Vy_z_SXtPaE8`2CvV?hCtSuO%3j~Y&
zB|ALii~e<i5@ykyLsMoYcnF~*cLY+IT*uqULsXtp=ytp`MycVT(LvI<o}?+|_2OT?
z!ZT_SJcTRfaDQg2*Cei!r(lr11}w#TL2{7*S)?C&jzOb~OU{fI59WSh7bgx*p-=^T
zE)F7wh=G~w{_+OHi^9tH{R)dpXaZDodgQ+>2l`k0$Et=rd|eoSmHEX&^WhEQqGZel
zuY_5mcw5-HZrmjXXADDA6$3S$TP;KkB5F3tV<0)ywlL!(p!v(wOg&38?<^OucRitK
z%{q9`Cv{@xv)&JEDtI9E*irvllqwPbb*hVMsfVVR7~yx~p8m6J6Bad4V1})byjYbn
zQcywZy=Ts1M1HXm^qe!ExVZCpe}P5vE~3=9dR+>(@o3~{M*!2M$*8JHi&0E^f4$JH
z?6!V)Y~mTl0&^|F%B>;%`go#}Jr#Sg&-ufK@F5l2?5n~ZofB&1Q)(`A!-NotG%C!O
z4E^63S51Z$DV?KzN#GL;LA$USv*$z!GW&QG6^;0n<wfXfM_4WrvR*Wdgig9WeGT}c
z6aQ1I*iH29lMMU#GA%)_06s?V(lxCB(skF9{cZ$<fvU3mosz2_M)rZ#Kt~Lh_@?%+
zZ3P1Tm9b&XO+OmC`-DTSJ>al}0LwDd(Vkjqv^?;oKT;@FO4t8)NJ6olfI7Cc^8Owz
z#51fd=`~mWGmR$^kv(~DOu(K{cp8XrJ^&yUI&TW|J(%W~+Wd5Ulq740jggX8(L*t)
z4miHl1$bM{pS~P?2$;R{zI#7JF~XpuCv4tS?-${5lJWr8lLjiiJK?#*z!B3g`@~83
zj*ad2KW1{_<tb2_>t)CLsSB2o_a;ScqcWP~ekYT-*&W=SQL}Qvf5@b>dRzIj`Cd8r
zvidb_GXCTW1ywr-Ta6ep>U1)7`@WH|auv*b{RJ{Yq)H%s=LU?3Z~hBowUIWH+I>E@
zO5wn;(Zu9}y>VIC{=yKckzgHG+Ot>9DHZ`|qo*aykMWT5D!-6c+22WLQ=G+^H`3hL
z&xZ+Qgnc>I@YPn`7m_%!AmZnlehB>LKN}UV?RjrFYo=+`F0Jq-iANmM^*vWc)cbn_
z<GeF2LhHmf*7k{06q407LL+O-_-=}PEzKnaVR|~D0K*G;$J*6nLEl+<7t-@n&PeN4
z+U1{BW%frde`f2HLC*~tUOU0gx>2&(1^^EMfJ*Yo0C2e^rHWnL_aNe8QwLTyL7NP2
zC%CHf_H<a0k%_UHVGz{n3F6y)4}$xqt@0fqGZq_e=)Qho6YR>_ufYgocj#;CB__>^
zLw4W%ywsNru_52JSD5VUUU@CQp<vnfP3(A!M1z1Ur%X<wz|#Zjq_^K<VuqPkZ8tXd
zT|Eh}NK6J;m+D#n`vnk+&XuQZ;n!>C+=-%$f}AV6$c^!kI6hV=N<WSIhjSf`oXFq?
zU-q&JNAKqM4g>Dy%?G2lyI0Cx>F=m`k|pvVmBio7(+CAAw;8*NhUbljB99stQ6L0(
z%s%g`BskETJ;@n#EoQ^nGy{Hi03ivJS#*NDiYz2<mhX=ClE2mL^Vc!6W+Z>|>K11V
zVg^<Y^d}Q?H;hoG6nMFYC6~_lU@P;nYcsxhjLpZwyLP|oX+=O-VPlJ;sf-iH6;t4_
znn(iQuj3P;L3El77uc&X&n&p6w)DdgYJD_pY;t}{XMEZ%-V73((Jso}(!rs#wSWC3
zg<Gg8s=+7hGc*9YmL`}r@6QF{W<2_aS&>E_*|S6hiALY{;^1Lg&4L?>YKxF3abeW|
zjfB|hXm5Z188MQPr~2BKB+=Qf{@AdD40-YZ-ht<i)hl2r5Gtb=Rds@Le;9H_q)jV?
zRhlZvd<(aUkPd(SSKX8ngskC(av~n_?Rn74Zp`V2_Wk8{h@=}4B9Ze~E0_Zh%S*6~
zKf;ek37tDJ=-<yCiKrsY&0xhF^O!S0DGF8E$)tpWSA&z+Y{h0Z`fOpV0ER=We|55J
zON<o02rwAmit_w@7~ye)6|c;EFmw2_q|_VZvwfO5ZxsDf9)|z^d|l5@$gPpf)Z=eE
z5a&UNrIXsE(G<6;KefNiW013g)>ycyD++EdnU-90LTMH}YNn8ng>l}pSc~?dng7}E
z`91?9{VV1DMKi$)IqVN(8ly_%RR31s+}sH*jkuN`*THObY5kn#jl`Ncre(NR95auw
z*&9Fw0hxQ#-9_`l0%O58<B%B(yAVC($u2Ggr9aqVStS6&nBTsGugN6#vqF89$0G*S
zoe~#(qRutOsNuDp(0?Xqh>pN~Aykp-TxJ(}r!yQa*sUE|-iDpNO;a2spO$6#(nBj%
zmu>en=G}Kb&2ec-iI9u=Vc`8Lgwa9zVe8QVA$4Xf=5oW~m-nMSI#p2_+!{92kn9E0
z1*j3x2$P0rAm3QTAgR9d<x?;{!325tc94irmJ4!Wdf*Kxq@_<O$mP_g6|$Ks|2Ftr
z*gxY;R8fzuzTPD@$K4l}&<tE#`N1OzS$<2GDIrydmPJdGG(0Xr1n#Vjx{Na~0}ER^
zBr(t%_ykmJ1|+j(L)3WnCxniaN|BnQkd4rAz4hV~UIG-qnTsVM8_+bHZ}N#jAN9ef
z&M}a*zf{}#LtVWYc)1$eQlOC}&0;~5z0Xs+I$s8yQOD~VoUGW$g8qCj(l{U?RVj00
zy}wI2J&w}b6ZHLrQ#vO*wtAm`Qmh?#hL9Jg+DNe0-uY>bZunb<$7E(~Zqc-mbD6L_
zRer(YOltPR-}y(mvfkf(F_X@oF&Nwz4WN%Z^r?AM7sR}t<&|y8jW_;So3*E4Vkq5<
zm5E_vt-SE-8+vEM6PY5#<$sHXG1=OFg6(uxa=FfQ&wiLuci;4X_=iE_j<mu3t?Qt^
zslhqO!iSKXSB2rt&A?5_ms`K@sNCDGc8#Kf(3{44%qO2W255YiHeq6MC_|Q{6{zm#
z2(fTF!UA!w21O7@#go36a^%C*l<fA-?BWZ?xYyLRp>XunM9~%hF$}qG8!eVrWPva&
z-2&)poRgm0uTf{7*}1N~d3oFk&|bCMUVNWB&ZmV;^9}eBrcW@vLiH_!pO17Y3`X_H
zhj!g5gz^w?vAlbv)B1(<7P$Jiqhd@Pz&Gy`=7SoK7WyhaScug&&*TeEi@SKLM17v!
zyhLJZeSq*_*58jOk}Y@c_ZGI*C)iG{nhS5VF%U!*N0}^4cehalFr_yp{odE|i2L8%
zmQAxl!m$xvwxEF&J0|^Ux_Kcj3ED=k#dLIr<D$Lk8>w|a*u-B4>pD#%c21onc<a8|
z5grJ-r|+3;1FMcM)SyiVITt5tBzN<W)q8X_+gA!z1WKDXGvNpKzG<k7e&m)_e%33#
zl*pqV(+)8fA)$s_k4qkYZgVnlcoe3{PkD=I*|U&kt1E3l*H<g~!s-P9$!$+XF(Pw|
zmV@==^XxW3FUDijVY++l*ebicuJq~f*qWm1_8D-g*ENc&PmtO6LN<pm%XK9*^@c)s
z@jv-(UhxRe#*IAoo>`p;c!*Qkfurx>k(Ww01XMGiple<?BtZxt@shekT1;Z=YVs?5
zaS-JW>L+PT+D0zTlPzFCCnhYsDoA@wYQR!8Nv?%(9WcE2G$D+dk;8lGWQD%tkUqJv
zy18HKP*>@h6a|)X6R*>l;#=D@F8GZBK6ClMH2F&Uq#VKbBa;O&rb<53Ry($TGd1`<
z!UbIA-3Z`%K$;5){wI1&ODV;Q-JLKNGv65DExnHi|Bf=zZN`sg)>WE5jvl4-y#)N2
zJ2p);_4tRXG5trVC3`tVQOwF5a8`MU0zaxgJuJ$O!#q#dLh+FXT?UEQM!z!lcxan`
z6ob$6+OT(owZ|xOu&V-rC@Oc(mrTJwT{y%l7^n%*Kv}eA1LBMioLxXwC*mNe9r4OP
zUWrF$b$*TL@=}`hMyuZbtr#rNjx@J^BR!S{ury+xd7qDtw&*6P7V=K}em+8=!16HH
zOZ5!>*)R@pV4AJ4mX9!@(9C^2W16w#VcuUe-EoZ<lw!`TVCNi1A;~^%;?;-4zPr17
z6_*A>y_;d`P@)h&e}`Q)Qw1TwRO@g9^hSL=E*P$D8$zReka)Wk@COKH*rmI!k`9Kf
z47ihIgi;HT&I*X+BK9S5it-Xxi|ib5if+D$l)~a9m?19ync&FP@s+}mh^J^EriD>{
zbiG=;ZdX$(i25o9Xke`0)16Wp9-N8s(owAi!!neSpg1&F&)0fSoErW8C2z?UVZotn
z^rG_WvjYG}-pS0=a$pqlUQ{?>^+2~u=a&76pYzA?c!{7#Eu?N%ka_uqLz*o3Wv5jP
z`!f-q%UX3*@;PM_TGnJ18Drnu3?A69M&aY0AxIQfp!ZZdkO;3?7M=dXRS4@j!CgCc
z^*a9Ovbd%0N^aHQ^5$8jhOymXcEiIuE4p($^0$!^wc}cYV_r`rG^2`)tqtg9r4h%+
znJpUJ1fZJ1#2@+?**f9n{q#QHG&oaFS|IOe?^he`DS#e$^4)5~dr%6QENeY2;u=Gv
zw1D@Qx_gK}4h>>Q`qxo*BHJMpEa*FDT{V|tBt8g!F^0$JW87KTM3x4=67dZ7YHfzh
z)P7Af+?iMPagrj=05e#%WgjDd_tgO~F6aCcQ@`nFfBKYCs6b0wZ<7o<OA{f8c)d>w
z;6M48-Y{c!Iy)yC;qDT(Etd<L69?gzqp9Y^X>+=Igi=^Ex_`#}%3<G*fNI8c@DU2v
z*upbV#wG|rcD05x?>rCv&iF+K34u=+SWOsNJ~aC0jHaFq|B2xhjEn*n`1aK<@!^~w
z<Nk4uI>tTj<C-G=N=kdjF;lh0kMpOL;89<K`@DKrdi4f*dyb#T^QF(c-}O;lfQpja
ziZ#P~QX(Catop|tJ%@$FW~#&z#YFEIc~<&Kwqzh0>Z6q~{V4wm`?F9YD`uDQO0OqD
zDni^{HRX^VK0GJ2X2tpYYNstdc1IDa40J3(*Mym?=fPVu2LY>h>t!ZXM>L|A)}-fy
zYZffat%f!C5#YAVzulV(f@?afZQ4e^zQJ*osyQwm4)uL4)9*_Cpe5w9NPwxA)}ifI
z8WGc2&D^`|0*U`Gt>*RjT<}fPv98cjkztGQ*_U}{VW;0rhNy+zI(Jd2;?9_8(=H(4
z#=`_u+?Tod3m@<LI&k`v;kamAz%j2@gc7{fn?fzE+4xa!aOO&tZ&-do%btBAbp0;Q
z(ua5b?&x#Hf#e2{8%uxL8xkA)KAWrD-|m&yjjN9;FG1jY*T6{t`Al8sEW1khcd1vI
zScKdi3b!4XayxEF!jC-C?S%!H@Xg$aG#!Ww%`FkzXs@P~*E{<M3SR8@m2~nfM&Vvq
zi!Pw5vH$sUra&TNqtWf-^we|-l>DVfbu)S_crEu<ViD2K%bpD2F{~0fOu3oh?qEC+
zX_r+V&W@MQ=yygVg;Ct4W6=}J26y<hxqG^2G7zG@#6HPMQf$TG<!XThr?HvI2Cz2*
zu~(e44&*@Ta`Y_=eDlDxYqRmfe83N3qLC@W^c6qXG8h`nproJQA-C{xVuO^HC|Fyg
zjGo`A=;_{D(Nb#K_;5A{Lo21CFig4>qh5|4s~qwj7)q6;!~vxYUAnbK@<S%+);K8H
z#f1Mx3)H`kI=dSt>&`_gA$21koyg1mGccHrBd^N}7HzYJ*g6xX^wjm7nZyA(8-w>U
za&YFS!(8@h9|V&8sWa9-&?{W>*0nw<{@Sb6^jbBN3eA1;p4qu$8m#cJziODG2A!$Q
z$@`=ls^dSH#`>~P_+4Q%?Gz0vi6dFxJMw1u^*jjEJ0d5Aq!`evmkt_og&gOt8(Qj1
zsmHlv(SQ3@)ziFUM(tI_Nf8c&qi}brpVWYS^15yzcp?vSESZc9s)IhcQ9W3RUm_u0
zrE!y{KpAc!xG7Z@r?$~H$Unj0F+$=_GDRoF#%oi5@y940wZts85cM+<eWEC@4z?Sa
zE>FTIY4*{?Yr5b-kbnwYXx69!UG&iLniP+O1zqsKvd4v=b@c6OkNFi<<Dwr+BjUEv
zu3>ITkMXhtqy2J*3nKAR)ph827ogd9WPS$^kxXS`oBxKge^kH@{NkD`@a;W}B`Ogz
z+`0Rkjt7D|$^B1;67+cOz@Nkx7I=&d_E?t>UK!w1kjF72=`&enmlM-r8Ng4}&6)Vi
zxI(wC0pp0@&DY#LobsmCCHx+Q6Q+^m4uZ)?kcdW*a#hwnnRwKV@kyHrq?x~6AJ^m|
zX-*;WLV<i>a+~9Ukn0ELR2|_{k<ZNEGNL<&4Q5*}eHS5K6M|#fbzhYhX$L13xAt)V
zo1aCi3+9$gw?Iz)`)pWr$^st8pB>e1JCWhHe>SvrTzCZU{RiQl$bkib6(%}>X4f`p
z*t^ft`e4|Tk#@m8W{M=Gf3&s3MVSYNk!U_yODp*C#lQ8ENgq{C+mY#<m2xOJ!t-VW
z(skjXJkCUUOR6#K`i{;x7hc%enk?Nz?^qyUSm)1K*yEh=PM$b=CU8!T(;&>ZS=(P}
zR}}Ty23oLnC;=7>%sj?4!wE&wd3Dv328WSi+g6sdY#@KEl;B_pUkzWi9eK!iCvp2w
zF-rELk=*opI}3=vteVHsTNDP5Rq+_tS5P)&h;-8*LW%fJdh2LSTrAXabjWzhOfXIv
z4rn2Cnon%eyey)H%`Mz{MLC=N^DTTL2lPSQ6!bnpKu{hyI)3r>-DT?!bttlZ&J3yk
zWTRE+D+R3)qxquTRgH*w`HT;k5Wd1xuo=Fs5KitgO+Hhl^a3oUw0?{V|DfUtUP{dm
zn4i%k2nj$&gXNSP<%e{+FE8#nR1DGfz6Ldmz<(p0Nd#E9EX2bN8CrW@B;Mt;)a3RD
zC$}ZPfc7M0_FkK6$+8sI9rbasL_*|T>yMHLcTjWfKPN2n!&?c`1~?gV!l~#z<kVDm
zjEh78)M~OpAkHqNvZo+FFfWe}tQos>4GBpAxiI!{d-Az3rXg2?k{dQ;gw5`*cv~)i
zU}O-puAcGM=RG1l4h`Xv!k#<g0(<8|n=U7r%6`_33UdkrPvMZbiPYe$w894{hr$cl
z!*Q1t%}2Oh-zo<x9mF>j;IGSC+32`z`U7w6bJPA5xaQP%L1kgzfxp0@l5*_ZA!H~M
z9g;bFA2zQ#Yzt-u#L0KrARCB$YM9XoSs*e%G&nn)Aqz6ftEz=8HeDPTazdPk8uVR2
zsbW@^Del}|8;49zb~;*8gpOA|jnajI(MR^ZY%_6%AS|xwXIFT_B!yb9Wo5h4kIM`U
zF4e9VQu4kzDMulj+pnqZW%dV$S!Nc$1n?1g)}K0P5sN%{hC~oBw)|1`Nz8UnhM34T
zbOEs-6<hA~>Enxrh>MGo<#D==&u^nLgu^O|KVlIj^kRzkaE9UaL=RE8?;8?tB|T1j
zy7EJu{R#SdhFRk0!a7O-WDUM`lD*ZR=OMyPj%dDNXt9#~xh?0VH~kZ!f%@+9ZPG}5
zM6W_`E>t%(Lrzu>@?b!f?NBr5yYtjC6$ZW?!!3!`UdJjV(ZGbxeYo2<cGdsb9^|(F
z-Aqum#32-q>0k5P6kE^U^`dh(=p)R`J!C`%Ozp31@yU=Y<#`*$s*RcwNhPbkr`E(T
z?oRiZFV9q%F!hLvtw-v@>u=mGW(E<wZQEYM1|yLy$->(-P}XtRT$3?gv2)|m<7UiH
zU=z3UWC2lPVY{Gx$8$L}%<vv>UcYyr2}V1qQ6#h`8^Mg@Yt;M#WKr-oGC}xXc`Uvq
zszLOj>O})`5y<4TNZ=j5%<staXho&4ebc5#cUKYcg%|0cpTI?`LxrfIzqDSn3i0V{
z(8^*Cdml{P>{`6jf_Ic*zq;Ewe$;sw#iHI>RTD<53hVOO>x{(y$c6xBcjr-yjR!qB
zzb$C>@IEy>ok&35d!K&Wy1^wD?l=1Rz(5=)<kjkaC_n@-A<*uoQwudU{k8y)1%=H3
z=F8hD1syQ?>oCbdNLf~KvT=mK+gk%in{(9nyYapRZkcvPHL=#dS4l%^=h<GzIWgun
z&!JW6j!R(3vZ}fjoo+U^UZm)d_m%s%;4d8naNmOUn}@!<MAu-;e=tE`u@oPhHSUx(
zltaq;aAE4Zp)&er$@}3bdzDJUBJ%mlK4IR(!ONOE*7Tg!J3RmL>N4a;%w~gUaSKuo
z4sWD&Z+@wf#BSJA8c&O+^a=Rt!bT!v*Z@v;4Ar4i9Zs(H`FmxBmvst+LytaiQ$?8e
zy=|<r8!Lli0>tdph<AwxW%zwk9%NAAzc%uL{NXWrecLmg`tqTzldxF?_T)yi5CX?H
z$E0nenw&$5Vp`}OG$zXEIG7U&6&tp$N%I;@A3c11jJ@E`3bwG*dNkD1y2Ij4{4%;v
zZOKB%&I2r|G7xc9g*!I|T+}?x*XmgLL`*Bu$Y{Xm*VS(*mwsVH(|@R;IH>rKrcAU~
zr9l<?=}SU{P$RUi;e6ZU{hd4A4i^SI9RZI#W*MQr?tdlQ8e`ylf@zj0ZqNHKnG)py
z<HG*8^jLAc%7r9NAd77*`+pS->RrI0!aiLMzRMFpdzMYR!wr}Vwes?r2uFnH{;n>e
zhg2CgKc^54M8l|e>#gm|oe~o@^i1PIBIpc(KTKt3-ub?auo;j*`2)BBeMM1_Br{ix
zSlK4?<po~vOR9*`E?GXV3Sv-)RvL1<{_rLS%2zi}u1ejL&(TvfZc4u+JDvO);LJ8C
z$l9If3_HGIZ;yz0j<5P&(&k3Ff6{&mjnS~GxF$lyHV?l@%BV->(-BJ9m<V(SJ1cFh
zTum_oZV@R}K*x|8NsJXPP6j9$tGNMfKb53tnDN(!j9_-u*9744s7UsX_70s_Q{b8*
zV%<$6Hi`GHJQNdo5ekU(lkFpGs!isSiGQPTkIPdYa<058RdgmahWmxCCifP73^^LT
zT2{@)(h}&C;atMF)+lY$zZl}xLZrW*AAS@bluaX7buIWI`Ss(!%%g0Sik2%h?}HL1
za}W^)P)&tzFCXN4v6lCff^GEiPz%XAP5oWNxh(A+-&2XyLjJ-BjkM!~Jm65A@o^6Z
zORmk0&A==R+2zI%B%&6NG$a6w%bJM`haQ2S<aj*ZWqSf$aLS(dXyxV<aHmx$al2V|
zT&WozmG42wCl~YyU7xWK1OzAtP~Kc;5uwH?lcZ+Cce&l`lfnFOaSh`9MgxTvL6ScL
zC^p9{`S<~o!J>fG^N>FfVvnQwc>e`-RzqA3%|Xx-{{$)qSY~GXO@5sR^-u$!$vvH@
zvyp!qQ$;F#K!dog*E<btVuHF^&MXJ|b>vCdsb}NhTULY`_<Ru39=_x|)UzJ-5$m`c
zOL#5+3ghPydq}HGi5}7GUpHssWG-r$U^mU6t=%uU#7Io?5{^7KkD<6g?%cC%W;&0l
zm0!;s>O0x3{b$ypFOJV0bEjj8wRv~mF$%o?p)ejCQxTpL%0&m$F}Nvlkmouf(LXa>
zl(l9&NUlKDeT{P)cYk{@wVfeg*23W1kK=82Gl5y-f>fb@TL0da-;?RSDdc)r>qz%C
zNzke_gkoMhDf*S;ZEi;jh(8rZpDSooV>Y@He+r2Rk$YSwmc&J)08ax+n+OIbIb$5F
z3r5itId4p?6i=+atTC*a+5q3_-k5MWGzI*YzE*$vkii6T=PMfcxPSE=o)?ptfQAFw
zt}(k-HGwm^mjOgTR|TMA3?^ykUpe%grCK6@$uzm33bX~iDU1*=^n4(iE+R#}l6XL{
zzTFaQc59k=Xj~cOP(Xm=G9VL_BIfL5>shVv%5yF+E(?_XoXuahJOzF>94#VUMcoMJ
z#IL)z^_MsnQx~CG)Q1)8i(+ySC~b2=>b2$Dc}V!?QyErA;BG6IXHEs^bIlx;->COZ
zgRuNZUj{f8nA&YZSB(%D+Y*-*6;T`p<T6rZ67l7Uo49R0Y$2{{N;ZX`+v;GA_aPyQ
z#|_;I=T`;jH*y^V9N*JB?GMpj0rU^p|H9@BZ!WbxqA?2835V&}4NkRHRy;P>%1Aqu
zWSM4iaqFZy@nTeI8WkE^vnkFrDL;|qNKD_P(nw_5u=kxk0FZmGx8QNx)!=qbcP*@o
z+=z}4cIXB2nFyI!(ZABFi9)1*DGvs3^N!g^8u%Uv2`ZNU*`r;q2!1MNa(XEb&c)8B
zyYZNo;9;Hd1YC-2G#xgyKJx@6KhrKr=M$iPTbf$6L;*oy^l5qpMR`55!9;?1RL*LZ
zZ)Zw?R&JoqWu~)F?DHC>$RCpoElyVWh!Y!!wfW(v5Dk`#Kn@S5C;EaGY`NC~ML9&A
z#o=I2A^u$XKmz;6x6BbRApSyuvPdo~Bi}rcXzfYrA<KevVhQ_Xjc)H`*TsDq5DYp7
zp^dehcR(UzW9TWD`g`~m+Rvgp0~WZ802J6A6V*$BE`SQzG&*Z>|7VDXi_Xu4y>U1q
zD$Rm9^S;%{ZG~gVgtcVUvy~|2c3MQ-J;3)NjOrv`JM=I1f_d@7B_)jjiAKjy_Zm+)
zJSDn5L36hxr2O$#wj7b~X{%(4L^lR>Y`HE%^$q@2Mcre;3=E0E@gMA3LvjD|#;$kr
z7<}VR!bTuhV#GJ*B!<Fu`QYk7s)slnC3v8hvIEhSsA(19N&qf<$2$jJV0$)9(fG5k
zJtNZFW#=2io?^(y$8iZQG90Se(PsJXgHl`c-Sf<E-2IQf(2BICKf^nwE0lAR#rb3_
z1z~P?ylVHX<}`SEgG-bex{u0Cu9w9R?mT{S`5J_B#-dIM8R=@IL^QzlywXY5{doAd
z<ss?cb~S*uBN;5BfB&INK1V1pc1ijKms&35B|Cq<U8O(evq+Ws)<#0N4}bCz?(vEF
z6Bktl7=%VI+SFmX<RbR~vLr>xV2)Udm^$&$^K@A|<tGbruiCQmCQr`$cJ_;<(JjbX
zvNa0qedfWAi_Zg4NBCX<<A|yavi|{8K&!tY3auszqG&7#Q(|4xAK^gpPmN!m95eKE
zaD3o|4+~6{Ztbai&4CR1kkPkfGnA}Yr}*Rw3wY%*FPGlrfDU`|q0_7xvd*GuslQ-B
zeNued;jJ7f7@*wm@-astLD}O8-&ml_AeU}l$bnAP?Be%z=EyB+pnk`EHuT*yrwm?U
z!xY`MvXm)8P@(VzugC^foY&KbR5n=OX&mYe6QS;iK;>0(Y<L#(%kSMe77YKuGbU?A
z=+x+O`L|On_}$gA`N=dBHVZ3js}_jSa+<@~#9J2V-RQr_SkDCU*z|lykr<mtUQIEV
z1$Uo6sUOW@z{<@I3B%jPs3i7O;PYS>5ESAb>i?ocJ41CLJ5G#-PB-6ITEYSk%X4U8
z6&=ohY4mAH6{D~zqZ1QdObD;v`u^W}8u%yI&&XUAqt6xW^83e_u-)1D#IBcAcpuBd
zYh4the$tWJG6oauo@zS%iKYORxWevij2I>KY}_AO!2rq2rM+WTWJowV=+E&Nqg0cO
z8@tyr;9U3;%|03lEC%cf{}YSRcZ0)QmiE)(KvvF`Ts3X*9Eg)+Dv8k|JN3`H`{)op
zWt0*~Awo!1U`a%)2)#aF+S4IT2gQ?;{EXEEuo0LIS6vXHVO@o;i`d+b0nB0QDLnMt
zmu~p&C_+Vf$zC@(G`JFO;EIN{pt>~ToSrQ99{jml+XyNYF&|#)@za8XR|Yp*JupYt
zSS(BPVhT`Dq)*ge9K<cmp$dJ?k?rBFr#_97!338(<8l`V11?h?y~^fj@O3e(K}3em
z-vu7Kj^ZFR`M;Oa<z^_*f8{*WG!m@UJU5rO9S5H(C(dl~F+=rJ)xV7AkwE1Bm)q};
zg9nMrE?iSIL(_YXtxFBphUt2*yC0))@JBG|<@-R0;&B(o<fXM?&fdT&G8dbtaP=#(
zw-60SwAM&pCc?yL`+)dC95@6lE4#l~i0qsmy1!jT1Wsvo(VUqU46ZW@v8oUtHu1e~
z@jn9mp1*jyHB$?W)9eoT2MN&7t@fh)7X%o1bcL=<z=NPpf8;n_fK)!Q25WN(V5@O&
zBPkOPLr3#96g&BdG`P|A^F;y}s2o-t;S*p&Zg=vw6h4}}ZoBU51p@r5`+2UXmjH)V
z$`VIh_(<1g-lMCx2vD9^G`R}nJbluoR1wcdN79cBKY2=kH+|yL{Ts9)vmK|v?&BfS
zg}SN5KMCM|f+$n1OM)Ys_#LTtc!;y}$r3{@5q|%x(Fm6%!&}LSR9y_lJ(Ks-^|3@a
zgQZOSH!|3m^Mcg3@K8~kiv0dhL{NJ7phdcm0$bxwrhgRkP_yQ2b;UYuI4)0gmFc0v
z6wo$Z<nWM6$G}p0lQu|>3$uDcXmEn|FaNA24@KK5ELU<P!Lnh6<$I=SaQ;?Sys;t=
z&HqCQe>Y5meMN?^rlRSPs1&`gRe^{4Z-izyCX(U))@6pL7c<~vU%KZTRUUHOH5D-5
zi~>qmmN^)vGaw*U+c<*GLuq_nVeAA2ek=>iE#)xb#KS+Wi-kNCSbr2}QbL7;=Sul+
z{$oPs+R&65Paax$b!ou|5e>vgZ1NWhF>d|0LA^4LhtfAL{j=p34W5)lDwjTHft|{k
z&V`S7NT<C2j)gKE?A8l?@MdgyaIzrk{4@_4Iy9DDji3X6HrCmym<>*0r*AHk@X-SO
zf;YjR>7et}F2X{a164T^%AqrSq_JmaUK)0PMU=7~GvORaZn|SL|1%%4GqQ05<qViv
z^)S+>fdfh0T65*q0`%2z|E|S!CLB1sb6==}4)`Y)&WAh!D%|2eQ;PBAkds=x6JG~D
zK4a{X#tG3C|LdJcdzcV;=!%<#vkn~Rx78)b3eoXg=_OLjSzyeRE%@N31Bp*nXaD>X
zB6q*Fn_nMh!TmhhRm{~o&=s4$B5S7^ibyO@&IA@*_fUQvMACr=iarJ}dd$#5XZ1&h
zzgW;{NBwj29S5vCWvMqE%@M8c7{i;+hMOmM=ken>pl?=J?_6PyVy<o}u@bZ4)!F!1
zJt7D8Q4@6MV?2+s2sxx<&jw4=GC#R=HsszAkNk`lA>sSoEhn+(Er&*92QjXfzj|Dj
z(k?=Z&(pT9kgy?yl^WsU&jR}i8A&KZjNZ5Yn=@muVNp8oh1EkQC`7GS+3zhz|BT+A
z`SX(n3MYdv_DM0p?>OaH(Rnc%k(pSgR>=axyN=Z8l?>Q;GWXlLhhp?v)h2R#7z>ok
zkNU>M(4i?igZ92zjDm2y2%-)Pss>U&8`RR^pQk|SLZ=vI-L<zr^nwZBe=Sc;T}Xo&
z*;BgmZDO=7JN3Byb|!q8l-{nALxEA>S-HBWVwAr6Lc;nP26R53sOWbf!>NcA!-U&n
zM48h0IzOHPN56Rys})Ibs&c4d)iE(*X20luqQQVYeizgx`iT&_tw!+ENsKl+U;k)w
zl@4nL-mf2OBfy=a&9pL{81<!OrjD@a(5ztY;r;~=@!#y@i{6TmJY_~XxR3^Bsk=0I
zI6TOAZanhqv<NxHI8G4wG~h?dhY$E@LFUgNW<??q3e|fV?VCV_?JuQrge^D_7RqS#
zeKkiqzZRa%|BnJHj!NHdY{Y?UukpV#DduPae^J+59~s<VY7#`!I7rw`^SxzejxOC^
zJts#cgZ{mwA77qoLeg11mwzA3kl2)T)F_Yyj4@9m@0*%Hojexr7i)$H4N`wE*J{HV
z$qk|N6-^-ayt7KuGeZ_Ti|kDdwIR=={)bnACaetZOJTkgBK2Xk`(_>y*bTc)xo<Rq
zossvee4h}Vjm&<x7xUiB^7B@nRmQ=Ha6r^Y6r%4^f^U<p1dw!Gy(Qj?gFDu(+qG&1
zh_$MH(Z)CesK^aREvd!9`Zwg0t-A&2_5K?PWorl!yW?e*n@|gSt+JC6C<5fHGB>lB
zOn@7geiZaR(SmD-RsZC)@X>j{g)hYO2@n!mRx<5@2Ws`SOHv#kwNK4iF=z0gJ9AQP
zXdVIX7p7gzL40)W@ulWi83IJ0&dqXV1W4L1<+lDG4<#xcvf@w)u%NCSfA266XwEiO
z)73m=bk6_&BU=I-kPAKH;;aolk5zo9PxH{^l<Kk{*!=S?&R?}!PJ%>@#OBhCJk;x#
z(-HoL0N2YVYx-$qpkI=FxMIjd3iuUXgN8)7&~ZK_m`DMs;2XV4i+JdHy>w_RmV*VO
zXRDQ{R5)R_(=qfL7cD=u<mGdmHmI$5BL0M<LC?Fz+sxa!D20A)o#eVU>^V|4_ArYE
zJ0>2fHPmyFXuP@lDvtzw(kVSx6FP)Fy3ia~%|$;}Ry1+nk)S+LJ9n^_4wV+(xox#v
z#Cw{5%>v_m{?^j2!yXK1r0$y1YQesne4XBALjm=fSJE@144@4We6N4vB6pV4pD!v@
z;BSbM(>%@utv1)tGHD(PdHf^JqK^ufz5dy|Yq20`+`#F|5*|A6R2WmWi3ZC)9{oYi
zVL{FQ+PPhucxadBbE<434ea`jdQy!sK5e~iXqv`DJImKbofgrd%SQL>^LuQ_=P^@z
z-t*A@o0aRFis|rg#dv>;0SDxZIyCk5`Dk-&d+Q1&13c#T?WnxMfy(4I`Lb9(S~1(Z
z^KS~~ZwalGxmgZ)J_Yr!80QPr%2GGTFu_#%4O(cg14=U1^%IT)<UVNa*RdPp29*<%
z7q0{Cs_@39Dgk<Hn-n;&jfr_%olSd*4wQ{oeKa=}q6Wr?gLbAYm^q*JwYp9R&Z+4H
zG!zMu=lK0G!vu`y?j`Pjp6I~+g{umhmYAUua_cp{P8M)+NxG3Yb--)SfdAecGt|0E
z@zrx88-&i^pVbHHK=ZLXZZ!;Zq#j&Ou5x691Jfd4j;sT|Thg0K)6J2QCF#(|P&Qmt
z&HVKCJ_iaHJj`0TScE#gh3%F}SkJNDq*2V}K-Z+={Q%6*<unSn8>X?L-^lKAQWhI#
z^_oZ4bcxUlFB%^uv%xPXc1m`Z1@{sbALAK|QA?Jm%BBc545dg}(5+aoa~sXJK2nU<
z#;R_8<idt94+}#F?7!PJtR3mbxP8L<zwR$&Huxg+*A&ao?yM4O?iVpya(!LRLu|jS
zcmwtHVazLzGD057NzezQI0d_tEa>W9TW3h3L*2;!@L9YBRW49_J&XA~XYbh1VMiLQ
z&%E1qQ(J--HTb-CuVDgTHrXj&l?q&&qVs$e37T0mvscN535~4x2dXZR;i$!tp@?5%
zR29K>9qMMllbvB{VMZj7`jz76{aTE+EYMed<b|DY*}ami0U{i0-*b3DmKcSLiH$BF
z{@-IuW%&;Y5L2QRdj;zqH`opOp<Y-|L>&x=JUo~!CEWF9iIGOuWwn<*SPsPmQ(2F-
zU<>u<n+u&H#EN}xFyuvpVxzo&qVG7c*l_S`$Vm~RHD>wv)Kfvqs!I}Wg@bwFYISrI
z5%R!g{MXt^fv<(B)-DyA05ih0s&;eKy@iml<tG_p>c+N}uG54%qirkKMVO;h`NX<D
zjOTrqs-6eRYJzvKo6a+$IWl>&S98jp1Zt5t?#;Doz<+oeb+*h5)h0}N^<LA4E3#=r
zgHJRd=<Wjl2OG?gRdH)v?lci@Z$5qO+A|H<CRIhfjd{o+he;aFhX_Ic?VY?bpaFLJ
z#x|j;LX^|nR#A$1uy5$K<GYEPkVvrmSj-oq4jJt=-+~FSFLvkoDql_T8Z=ne+buxr
zzG*m)s$iU*r2lcL(FEL=whvL!0+bi4+|lwB56Zl%`5LA;AU1cco6{4Z^?7LpNr`wE
zmYQBGSB3+%b)MUrTKPym@!+^}03I$E-Tmm|pasA)b#=w=^^MDS$JwrUc(ii<U*VJ%
zu<e?6{^9e{1HonTrS*9Dta&U<1N&dJ%mx?QcOE*o$VE@b9}fZkjdnJ>36SoPxot@i
z4@G8;tck<=)f%Gaa{HA;2yfHOh}y$L%7?-(`B&m0qT*a+Dq9<pRtG0V@p<U{JGX+p
zSYGt;TltqYNk9*qeV@F5hioFfC61ohep^)PE7i#G=1F2cr<;q8H`#E~t1<sqxl-dy
zqQLn;z5JX9T(o1Ic;}#i2s<C#3_58{h4U_YgE5!5=&|hA!WtmLtt0#2l;~n!{L#aB
z*>NuNi%fW)?WPULqsn^QV;ZPVW)Rd4a*;RxdeiSe+Ay<k+YzE09c*rN9m?LzMV<+{
z8x|LmpzzWc`S}xch#h==*d1G+os<`-xr+>c{v9L{&N9HvWA1%oEEnxoY;9!nC~)pg
zlKe75Cd9w}R(Sg=7bPPOm$8@%%Osy8JDZsBSX#LDZxt8S1xI@~j!@xuSo)jzKo%Ux
zy>zK*gp0Q2^Om^=(qLa(tLFas7|*XBI&I0qdI3fAMr<Dqh#c#0DHqvL^RaT_PJbS%
zf7EnY%99R1Y}u9-bPlWuxaetI!b5Ab<0yAp>2NCrKXxXI18=EO-mVIK<RV*A>fywI
z_-;S>b2uHCxA%RU-%dV?(OzhL`#A%+CSO$rkvhO=9Wf}!&d*rqsajpcgePMe2GdPC
zFvT^94q78X`h!On*xqHr^;t!<QBfCe%)Zn0tQMeiriu3gDJ<BN{C*X2g)WePYLt^L
zh3MSMPe<P!W5JOns}@UE>OzO#^Fft5A+k<A+A{i{1>eNY4LrUs9Cdiu=VoVynwLeJ
z{n2NG!M}YOzf^T$sA8E<-)l3JE7uwl6v764$jtQO79G&w5H25fH%FfN=cl`}F%K`f
zb-ZjZ)+5rwLx(U9eDly=B-g}-saf^ClYcPJ&r&RSw@!q<v(p==KC<Ch!MxoefgGr*
z)ZVRABSOk6zYKo=!iH4|-sox#8}w@kLDhO<M01;KxYo@EK9SlVEzbtePrJ|d$B2=l
z=f}d|kJ&J-_#g3(gauOa>;=j#Vq|n}NXi|{kx_p~2hBhx+`du3Wi6H<CtcF}9ZqaW
z?Iw7=OJKl)_4}**gc3BqDJWGS&4!aG^fJEy<E4t=XQaCXEg5g9CuFnWnL~)81(x$N
z8TS_K^_8F=>Fj_E5eqhCh-fL8FNBBo3yZuZs9FAaePRO>TmrHT6NMB=@V4^(>?lEj
zxQvaj9GGw^M~~ujn*>h=Wv;3kNs#OUWbEI_0OngGoYZn{2=&GlZI~}XyH>=hIjm*?
zr&*-Q?<T;ygspB1UWn0v((jJwM|2qWn5k&Gi3dIE)x%*Y#c2Jfg!};`I+T50b2lbg
z3yf7#80sQ1`e`ckljP9Aa%i6oFAE2nbqj+{zltzFjBzof(coL1-_m*QnvgR<Ty2~z
zLM01#pLG*bp&|_TVS}M2+@@HrSiM|?o=9F5{}NMRhfjSLKTiWHC1I&)ugsBuajE)2
zCo-h{*B&OZ(g3d`NAd+h=7>~y$@0z~5~Ry%kz3|zz_^^20a?x*$!v^`U}b89??SoW
zrQPaaF>}F?dfg1s{RnRquzqrNW31w-7Ii2Zi>Q<ln4vEZuawzi9zK%2tCRIX9Z+yR
z?eJ?M5)K-!NXsBV*Yd$XP75_)!O~}&^n!#)O1bjDW&#1WbX;;fWUT?Nr$2v4kr$$4
zUzNQ3a`2EIEHoEi(SYWQ@j8~d0(4g3SA=Zwux$Ezjw6;w57)mI=h_I+t~7B(m=qqC
zSBA)5jMjv$U$?WlqkQCQ5TFs%paoBAdxl6VIGD>>F}408AGr<tOpWDe0eACff<`e8
zn&snP?Xcvdk0S~-wP{*#G%%n0VyhP1a5O7ypWva(M>9iiUD1Mk`O`K9bUgeANp(`W
zJaoGxYSZcxEjYD4)5~-M4;K9fbJp8<$Ya;)NSAk7aA&`h>-Sd#c)E4>H&q4?1+%#~
zBDL^PAd~rdH^yC^{@J#tU${ty(DcFI7Z0Wzd{sn`wIT6EjqS@4F3J=?8ZEEJ1JaY!
zw?8Anj*C~*FU4_@@5#z$ya@p|N|Kawd&zLKeV=stRxY|t{e6~rmjE78L;h3qG0u;s
z9$9V4MM)2@37ss7;E+IcA12U%bA7=Y&1GElDdzhRvyVhz1q80bm(n1^Dxl>!g^Qxc
zYeMXkwIS^UxwLr$9emY@_9{d!s^9+O+&c#n$gi?@;s2#WkNwj$6Dk)e6|FwbB$7d^
z<6ymQHUngaLj$)NaFLJna|`|i88Qr8JQ^LD;5O=8r?iHPT&PvgWZNjv+s>ie{$_&h
zwsmRgySV76v5EHTS}ODu>xXG(vLLGKe31JUE~>i65<c2YgNkEY6)aa{9!euP9l`oY
zlq!DTw|6uUMGdjD`!Ua4((y*0!b5S_K1Y;pp@Y+o_ObWj9C%Rk^w0(@XCo({IZyV{
zVKB#&=`5=QXc4)tu8D{2l>(l*`Y~Ya&5B=^F*<N^`y@_*%SZ9}qPE~K47kzZmDN73
z1C~dEZ9;STDAZ)&NxnZ5TAN;1n5@+Wx(;cTHcNnRd$|!j`!GLL&G0&%qzk$oQ=yO}
zKnn~y{@!(Efo>0fuk9mU=+XB0_t9904hHP6?tH?6gKb2)rHvTROO^{tL5K`i#I%hw
z+0dJHOJfu0f>npu*TC5fRd<~pq+_0(Svb5l^P(<9HmrRv^~ns81Vi@<tJ!cP$I)+(
zgD&(*9QIZ0Ge;Hn&%V#hu%Y5Ock#kO9Y}c2rgi)^NA+&0;rT2M*cwJw9rD!y{ZosQ
zpC1z;&xWk~nPwayK7Qr{PdPB^_2Dad4&y(wj*CYe*xRGJ`HT_=4qK@oJhxMft~Dp^
z%`xV{v!L?NTP)e2a3QR3X`>jK{mue=6%L5j-}xl*V?lHOd<|Q&1jUM@e}ueaW1f(H
zGB1(|+f_2uOE*hUG0EPc56fvi9mW#pcm}lXsVTpcAVCL90;}s0))&rfwfug84ytL=
zF9&W*P<LaMVO}>2wtp&2z~7*OX^`{z$omo$!Hv^(*uerfx#SwTT~zSe|LxxII}#N9
zbDM9;FcVHxUm%U$B*P|;*%Fj4LHU1Wre=Mau%McM)A5%!l=5+52M<V4Z^*do)^@Ca
z<{7iy0*G)eQ8RtoQiA@xD&MVvao$?-*5MJX-v<*z2PHBR^uF|%#1iX?^*N>{wfD4O
z^b=!CXSo>hQkVApBGMr=s6>8u3Jw-*IT`32AV%&5++~y#G!S|w-HpDi3GsUd6%3Tb
zDB-fs*^ij#ocey-tm3%_guGbS(_JV+&Vzafe!Zmty<F<`3W^5k`##dTyGDfk{%(@!
zJ|}~9^=M6Wsyd9G3YYrYYmTOPK4WDsNRZF(yYOMTI{bz3>lypak=o|LLkT_F&}UeE
zcf)rzj7#~rCXDkchmBv*=4-=>%(cTEO=|Er`jmlNx*6JZ%;3~@ArVY;WRE&NQ-d%Y
zuNPAKnCFkb-1#Mz01o~?+bX)%;8|_V>nQBp`ffIwpE!Vr+IA&N3wd?W*4K0LcNHQ+
zbjRaS4?I}Dc(9G*pbokpXgAl42vCGnPrjgE3z#ZH&pzd<gO`8t`OH`WGP>V%Z(p<)
zOnO}P<={1dBuH5Di7r6ti%1KPuh4?nt}`KZ=^Ah^L)9zt2_LoJipUbq;y~ffs97_X
zgR6p64mA2=e*WF{m0Jf6&dJ=j4{g(go4H)7K#`Ap>`ZPa)Z^f@%YG}ZGdOU&{K=dC
zkcX^B$9A4-#DP=i!EAjuE!bCLVKxxJL$3uXeLwqg5T1LZ+};2Wn`*flpE1sK<|N!c
zq@;y;RDK-^M*utdy4e$57>7fLPuH#0f&p`rLu(cjVPd)CJrj&$Sy8U9BQ9&fh;nqp
zA$4sax3ok$`*M+MN&cOcb6Rl!AAM|#E(xlCSQTzq&P4?W-7D(%;DOUW)*rT(44O03
z$`$flq-HyDy6^`c;{2-T@uMiv>^Jd#`im*b_UCOqbD97%biI-8GAcyI(s!PHX^PgL
z5zfsR6M>jr>3ct#2IR4q8y8lZBJh#i3>_rG`pE9@ua?rG_;Hfm&;wJ{%&Zj!6lufS
z%D#!PE;^XCwtTKAGes2l5g^BqpuRr)coF7fohmfuqG#Cp@Bc=t{Kz1FTG%1BV1mN|
zRdDMyMG4cnv1?r^AX~gf`Qc9{)QS5l@$<PTe$i&)DJRTZ#&@gu<zqf;SKU!=g86^P
zslC!mX)ro-bi!sc8`dAO{CGAP>m4lvJLlh}L3CnPIzxd2mpATZzQTHq{5`wJtIg?f
ze{I}G-#Z+*rFNkD^dcUjHkK$~tEWS}lK1A7wmP7vXd0Edi-*cX>=Mge8DMiMx1^$7
z2LcSs7L|AMP)CfbH~u37jKZZ$ZmrjaeU}9dLT5f&xlBe{c^4DZ7M$Qbd8`ZL>1rY|
z=J^{I4duT4&ICqVP*9h$9?)yg1SNV4&<JPyy6qt>@O%|d|7@)X{{sL3|Njh^c|25Y
z7=~pFky#i!V^(9Un6WbtT2xX=M4M2gP$)}OLPCg&Hll1r+Q^!oR4Vx_No1!|3aKQ8
zeDm))@9%fsbI$u**L@Q-alw^erVu7G5Z?Nkf%MjCW40#;UDh3vJC$Mv`X36O{MpPz
zN7|lN=baqPl<B>%u4fLckK<;|519CTORzzs83#|Ux^VyFD|5J8yIIUhl7)2lYY%fK
zwJ=#rR!wKG1yHwz72ICS!XBYzzHO(qaAH}Vh_bLHR6J@Hv58=zUD-|JO`=+OI70nX
z+gVE>=gSO~U1XtNN#JF|b~ZBWm+K~}Sb-L$I+u8zg<G<#1}6mf<z*J#yP0kUOV?hL
zc$UFJ2CI9pyq1Y9o{UbPFdr@q1|Gc^!b0_JHBv*(40PPJyUS_^AKE8x#2DJL&`~)x
zAn-LEeJ#3Dw-xX~TQOy)!VD8bCU{*HuV|R;D715JFCRMdY^<(iGtp9#@<i^jCT@O`
zqEax=hYgKhD?NEktYbLaRFzY4RDm46Y9Ro<)X~qqnt|MFNA+iXG%)i_!$*5D0CPr(
z({nBZJNM>PZwyhxybYTcKAYr2-B4is)O9+3Y-@9_$x*>At_vRQY~sVFdD}RTMRc?$
z(yz;mE1?>tTV?VBAN-|%V3Z#XeGS`OvfLE~?@f$f=FEqT9#&~pqb3el8)duAQt*A#
z0nyHde0X;K>Juj&O>EaTIX_S*k30S*_2=KVg8k)3m+w!cB6+Jx#?4YWJUDi($zi<}
zWS@Ug*Ve0n%;Wm|p_PnjDWu!ppDkgn-Nk^vCF&?0{y5uLfsDk<wC24LmN01_*T79u
z!}rtN6t7qk4#&K)zbS1AR)@D4O@^!DzU|xmq?AbbH;pdjcF6()m=ed0!&Q*tp;f-1
zg^2TUMs6or7Vx&U$R_QyGH!`ZR_`t#;xd)pH&pJK!&2Sr$BgbP;dfthi(VEHC08!B
z{cLFt=WZ-IKR>RBIoiUTiti9{I*Ov3-Czb9(ffKLK@kVPt+;5|OT+|&En@>)%)l-5
z`8MG~1?<vXHv2}CgfZcVcJf9{!D>8G^(IpRqr%UA?~Wj$)Ps6kr3h0nb`F2&Q%S+p
z&@KFyQ4$s}amtt_n!<hI(^@1?3WogM=5go%85!ae=T;V(K<Kb5&67sKrFROSJ{On6
z#*hzQTkK4rLnEO~;<r3DxK!Crm&oCCd~0ONh%r3bmFSy4Ade}!@AmESkw=2L{=-!%
z#^CfO)S<gi9!F`k`xgx;$aH&W)oW@D8>Y9ntoSaEc~y>|Ol1`C+sm@Qw?>S>%g^@M
zNd*dW18$FsPb*;T_BVPeSB*e){ozvUjTFQoVt4ZoMa;hwke1+P1b6>_<5IIIxV~&n
z=-xRcjLFpY_Et3l7dwr%ra21kXt^hvtDu4^38gmlk38^pky4xsP(V?Fg&kO{V&fbB
zEu%6XSYCx`w@C%eiT(KMeV7`$oT47mOyYsBbW8gA1VwCrRIMldSRKFhAG_`A$Adeu
z-IPrRO6XURS0}WHiVMbkHfB5XVD7U_gx*&rR2gs_e_u^Sk$?B>oLBRp@kP|-;!<U#
zq|JYg3)IAm)m6V4D|ztmZV-*1tb)Xh9Uf$T8s_fr`;otn2Vq46wFV)oc&7TDNzfP#
z!?M40A9Clx>-@*Zi~QA4(PsLd<83-7jgA?yj`2X~Z|cQMLFx!O?-_D|4E%l3gJN@&
z2l8=`@0Z4CAhw)pYA|GCVSi4v%@7Y#qI{LP8>kp@PBYc$2NQR7-8mn}HiBT)V`F=V
zs3=*Lu%+%M3;nN}Tdof`g6!8mjQ$W!<Wb|6opfWPRmj>eH@l2rIyd*yDp?wuU#(Vj
z_{T=SU8yd?cE*tAH=oEXprMsjbwYlc7QVG{|84!m817Z^XfG}4*d=kb@*A0hcS(9>
zTi2Mt8Yf#b$5uM-*tYp!$Wg)dOL<dwdQ9Lwx2LysCj*QACST5M;-J=d$3HEhrm!U<
zxEqHVsNzWG{ua_ky`<WPVO292v<rWt>&3*8w3tItByG$z=vA$%H-k$aMsB(7Oq>cj
zaI{&l{`m4)(t{v#I8rIMyvu}zy_)W4%^EnUf2i=)6x9NH4mi18No3)X7nCV!e-38U
z_4aRnWdTdm+bTw0u`th^wE6m|7B21QyW9$}1kxc<zT`9uzX-28a(tB*ie8y{R3K#q
zW;<hNvlg?l<qYA;`Y1NmdI>uiUbF)5%Fy?<g6mRKH4bkwS-5b|l@*bSeCSx}rakkU
zh22gd@hpdlwHJMIl~3{k{!K{uHL!3_B>PfE8UxKf=aA?F0&b5^etmF~h4<8dUb8w(
z#~$sd_8bzxidlB!ydDb+5{<eB9BF8%ilScH0Co>UCO<u9qLkS3yD9pb_$dC%d3$33
zBmOPL(B%Rz2xsMs$WrlacDv6-Qvv^j{3y~D49wa&$a(%l4KJUE6EBtlSnYi*X0E}&
z_}&>U-Uk&Fz8olXnhHQTvd_6Tf{p_vfu<3El(49I^_LoP0CzGs%e9S$ZR!&~5+;h+
zqCZQy)W8SDfLlkNGHG~#Q206JItAMYJN*xZ^MSDYVS2`4O?>Kbg<)tVk5kFhpQSYT
z@L}kYr{xPOs%95$z9k`t8;Rb_)>K(R|M|YrVO1&~i!lA1EKEi(?-lFC9jri;Q%jQ^
zQ^(eAg%6Ktld$}pXvb)`C2&ZTH!-)=FkP<2&*vx+uh>k=MeVi(`2{bEWsj<&_AkQB
z>lp%ir&S(P9<_j}%MF%4-BmComUnORDgjS^=H2;tzyb{A#Tc_L${1=tzG&2&fb5{#
zv`>@fFx_xMHr7iCi{oyt?At)VeeV=h=0nXv(TSQA9jA!#YrhkSTL{>*Ie;-fX9nvM
zX}8ZmR={%Q%_4K*1oXKR_rx{E4C;;lcFU3#uxe99ziT-Gt#j(ht<q+&COCmB6+uD6
z!Bd&cMMNZe=c%`5n1ZlzEyr(G9*_PKu`LKD;;!nHwiirOaPB|!clNA2W_gVV`Trmy
z$!*tp)p8Tqv~cOTr;R+)KE93I5KThj_=W8pdlOI_S#4y#P#!HVn4I)vk<r6sX~e3J
z#_&7mK>%q;4w;(Vt<zm(tck4t*LcDhIz6o#4!xGcE&e7e&t}UZ(X+lmmT3&NkwJq$
zI^@vb;h*M*!}8d)L?pz!(FmNJH@K+&ki(PnjP8fqDY&O{-I#uu5$GhGu|7?e$4J$y
z`(-vOAi+nu_nD3n%-c<bee{sW3%9zRTed0UN43wwX&-nHw_2^gtwJ6XgBG2TI;4c<
zg|Al#<?`TA`O7nl1pZq7Oz2>BrZOIxIaV0!%LDUxKfP4~UxeB$zW(~H3PzSYiD#P#
zIDgAVZiSxUdDM+UbgCLwpH)wNyO;+G%eUTq(xiYhw{rD1hpA)Hjivu8$G8wx(3BN%
zLJ@O|Wp8y3YM?=#z5R!FE?7+aYH8RhVbCC<e{V4rYd4|T^m8uwHq;oe)=<W{A914b
z{+d`OO6bXY$^}2q4VRBCRKZOV+0-y28fHwq365*zf^1~IGE+zurRr%(91%KR*j#Sr
zF~9}66FV{vNT{LyoGBUF=y<IBfpD)74^F*}aq`emNB`x8D4WN?1iyIaOnn|aUXpXE
z!d3&b*1O`F!%S?BJY{Ao_zscR9L0Z_Qqfa1P|R%w3j>SxI_j75VEGD7^1ruKY>M=F
zl_}uUODW?W9nwZnZtY;(CE)+-7mrl6o7s3>^@_H8uo0LnTQ|y4p&>zDxXeFV3zzVW
ztt!44!HGTk#m<jt*i|5MIiAhI)PkiiV*-rf67}Wc6c0LnT4qzWwVZ>SHsoC+37f#@
zKe`W|3p23iT=mL)eQjKLc+7WojtOWOh!sA{WT2PvrrXQnweg|u(9)c>rf^jEzYP-0
zn7Cr8#JAZxZ6qs#p6a|Q=zFctCsr|$xG-g1aHlptPB1lHS!o6tw7aQhMl4LMH?b<N
z*G7fN(<jVB%)xxAm;c9WES%4&TYDu@8|P_N7t47T@aXQ1nUpyeCVk0#;>6NM@2WyO
zz3&!aZ+k3v%$ALf=gh1*85~@ZX>oTr&l2>%jwJ~Pvyl^O=-$w;h1N5rYPuV&V0qTz
zD9h7qbet7Tl!z9dew+Kwf7A*VUAlH9IgyQRrAjC+&PK@ux8&duKBS+Oc@%n3;D!3`
zsN-Wy9DI2}=h!$O-j1_HRjt^lev(rnj|^;j^%ozo0fv@|Xqo(Aq3P<W>ANv>WaX%p
z`q%@MZTcR}N)hx0nzd`N4Gl%*6KiI@05)yeRPc(zLSw0H`^`d{C~_+O@8N?06D^0Q
zP9!ohuhgslX1oSw6!wfR4Fqr-43`j{VBqU_=F1Q1s3Gr$DE#LQFzUQvV#O*3Hm_{>
z`}mtO)`*b~Yi$CMUQ*(->l__h^%kh{`xLQt?^{(n9zcAdr(<vz4Rb<Rq0xdoAGT{w
ze~m1_`-QjEPpJy}N%S!jx`QBB5)bwiJ>|ne(KVYQwrip?Vc4Pn4H+x?CQQ|L@`1r`
zdj0Dv73W4?+#fzeLWZP;rs9MZH0%>L%x}~{d)0WdW)u;9K7ZYl8D<6H-hRPrcB|v)
z$MLKq*9mw)-!Jy~oF%*vZ8vq3QNtGU{yMKOvM4t*_k2gBB`EVp@++RJ-~-wDXvXkj
zEMto4X8*MS7q|XXchi+onz3`r!*DTfSz9|DcGv<GlXE*oBb3mq23MNDlEI2ce>8u7
zH;1C4A+cYfiWuVitLI<741Q65aC^kh9E1Z*+MSaXa8JR*p}i=B>zX@L6u+85a}@t|
zP7MW5JnhhbPF#$Ow_AFs`I^Dgv%yJ1q7<y_`)nhgz8Iq=cmIm~Y6=bvGRfUb9{tp7
z7S-FyqM5Mn>RSP(F#fJk?`W?a_DHt|=#U9moOni*@Y@6&efg`W`~}=r`un5nJOLLr
zZ`vkw!URk_m*2Bjltbm0ja}9{L`<xq1ho=O;7*dI-E=1zn~#b8cjPq@A1XIkzrJn^
zMk#mC`Q9PpOmfwl&j}=aTrH-&!Q2>5=?8A7WRcPPmwOP+N#NhZj5ilLj9}m5!so#`
zWUMXTzh+ub4!ea5DrZBDpff&+Az4MnMA3q4yA<Vd!Q?N~77Zhas5)`n^Aj2UTP{}~
zCR4E4GcMS#kq6d&Po!uZIc)l-9JWV80jIZpxylpd-k1c2&-bHpxO;Nd^8FTyD7)2T
zW14{H^!>~KC4QE}eMc*`p7|<aVMc21)HD~eR_X97cFUvB(rY%kH<i)ks;1Qd3b>ja
z`Fq8bJkp=YtFdNP@M*?6jm|S%D32e#EOm*3k+P55ZFZ_*2|vj!XfGEm<x`V-HYgwo
zTbpXz)X~Fd-F?TkTo@D=Tb-n=h(RI!gQs<=xMJo?5#5*znI$6!ho%&<nI<V`^_z;D
zv&l!Y^tkXZy{kCsqY}0|I{0pUsfk-xThd~eaN)f}lqG#w8GAXriyv}m*kUGCpKZy7
zGKB|wWT#c|6HSr*@)#W*9L1&|ZsEfG<@5^)%4&E|@m784E(V%TlqMELaUtznM$&0}
zbzHt`A3<sb6JLw_R%%po;Zn8Y`P$POm|WxF#nNKozIgl19rIk+^3ki}!G6Jft$!gT
zEWt+6k?Y?*1idE4ZQU(PMNKrlN4w@S$VOIu@POV!9;iNOKYru6CWf{M^Y`A-Lf&{O
zZy(nP?hmJ}@DHP5U5b1D!h;<A(^97`R$~NyQTpGjbm(Y*&8Ov>x;CZ>7o1PrWDLen
zUX6zI(6K`-H{PpM8$Z-uilhBCh7TgH{dVyT9N53`hO?dycIz)r4lFSN^TMwu(v~n0
zWOnMFkI}(+wdjLa{7pgb-c^g(MkZSG&TdUC)4{d!&Z!0_W{~4jHmSRvg+EMgM4Hy<
zp#Mapq?v>{eCca+IN8U-uR<FAN6+h^x6{uvyl!*w4-6f=u#Sy~%zU*y_&Qj6?b9an
zTNY3_cm3e`0yZkSNYreo)J93RtUM*$5^CIErcI3q`i~KXxK30XU3{+lAF#B7!8oU|
z9Fi7ZFcp&&qjRuVc;>>wpH{%EZQU(O)k2NK^_Lrzw2<*Gws<g|4^k(CCzcQe9<A)C
z+dt02-7b6e9t-lkRX?Zv^G7yjw<?+aC}1K#=GY!-2LK=2J#n|Q*chI(49y)FcsFgw
zw+#^hKiB&UJ+ffq_O@ql(nn~xCp|xB?h3%K%so~A9<wm{(Dc~a6PgI8CdGc<2KaAW
zS9WYE3%w*qTn(v$|4(^#Hlhq5cyG|DsMAcO?mRnRdQJ`B-FUUswgf;yr0$GVCj+Yk
zf0rMZQNeLm|9i8`0M$J!tR)o~c;t4vylbf<rgx_aCr1Jtxb|9X@j5yls#4!;eTIUb
zK|$nG&HyodAFm6MG#nvhXVm4%VXw8y@)H8D?eAk=oGH@8lWECoG=GyYCFR1Iy!U(%
zC)G-<?xvz^m+-P%F+{xdH2UE&KR(=9eenY<reY02wM%Us0cY=BbR8SF0_974uBIld
z<HTT+$MEIFcp;Fxcag6ZJp1>)qnV(FcYH|CuP>CrMyP&TI$#OOG1tbE^HuP=9j~>x
zeG$HlUrIXRWC<FmBJS^~jL$+n-OJ~su)A@&?SJ(au)(1A@*av3HeE5j?h_(~;@R`A
z<t7%ePF|*}_oo6bUccdYv6&QZyQ1T}q{ti^$G51Jf2H8je&5vJd?{4gc30}Jx}b+X
z<Vx)QCy#R9pBVTZmqNFrm3bBC%pii#X_D2I$2^}MDRaN1Fgm<&&4eKT$A01OJRU5E
z**^X={+AcwdFsMu*;A&VxnAGRwS$a>oUz=U`=!x$%R}u$;-+wL(T%Mn0hhbFg0=a(
zWzaI|8Zq#c31~7hy(PbpP-qYaY@!z<aqFLV>ld2<(JOIx@&yt`Y0%Q0pUPs1`m1`!
z3&v0tX!~$<2MHaeUS-9eB?xl+TyqV}80`7F`au>X+`4s;YqOb%e{b|IXsI-UlPgaO
zhc6}J26fMT12zdwPPQbrY%~H9(ZM=zGZGS(4b|_EB%^U_eVX_;9vHd!B$c`f)>ZT@
znwcTv+~zHvk5YLMq;hfDXc7s9zi~hBn3uyalLXt1W<2QnA)$NwEeTa@56u4+_+qZl
z&`EKG3-Y{|8TSmy_$5X|biJ7ZiUqdBMr3he=EoHMQ7#z|o{wGFAE<~kFZHiYxN)I}
zaYgR7z%Sw|i>BDMO32Ktod2oL1(`De4*TllaMhPxlWD3dxZvZf9P(E~kd8UC`;)&s
z9@ZGO_fA&DBAE!Cua69&biuxC)g=_vE|$)$BCF$YuU#@T%MixQzP}R@Q9v&nx#=Cn
z8d#G#wK?*nA$Xehagx6%VBW~^u1`f&B<;%GTN7poX3rChuY6QQrYMb)n4pQ;CQY){
zp@wkdhJ@PWPbJ)*9-_ScAPrqV{rJ5-#t`mrldR{-t6=7)k~a=J=@>P7d%@XELnsgB
z)ct3tiX9(LTK{llpi^jZfc-N=@Y)rSKAfb6GPZ+W`_?e=e0`RF_^cruOrTe6d9RM2
zF#<enS-3p<N2kzoF1W?k)iu(oXxt}uV9HF8LoEh4C0DpW(p>w&sfUWCNpT}(dRiEf
zQCg(EkOv9PwQGbgX`*D9#Ip+u92_&bcJXsG4_rhKw5{4o!%OW+t3)R`I6k}IfIv0^
z&pZv+RqAxi<{T>Qc&Lq5Ng+zUrABaVwD0kM19U74tB{Bd(7~on;eB@A#&F@=hj7Pi
z2KuIoRGEnAV!2zAW01B9)aB<#&bTsB`{Hp8LXa+Ms<*!<&YD2=;M=i$DHhrYbxXTf
z>f&z0k_S2OOrem?(w!+`;iC~!ibSg}Zk_uZI`PO1YDaFpi4^2~k)eRB)-qlEb@k+H
zx?p~<Z2WTa?o&1fwgl$A^wP!q-c}V&=@!tq??tld5-mI<q!o9iM+fcN<L=8JwFF2R
z&RcL?3ms#gAMRAs5zI@p-{4k3UUjYHc$aG7i-}+bijFo4`%2tX)#1aJ%iluW8??}s
zBJMsT!NH)-+QNT^`S7yArzH!u&}#qYe7RaS?(_CJdvOIo+VyVRf^;pETd^)S#*u{;
zm0_k@2>^<rFW&dtYvIcSy-KOg44kmyd>wuS&=fzEnDT**%UgG|l=*aweymxqHVhCb
z@@rAcPBz*t2^bR>aM$b2QSY2tfZiPnQ$Ye>NV#UMuU4g^P*LrCgNQYdn=fV!Nwct7
z^3ok!Q#Gv9X|(nhtY3P^t7c4)Gmey)ek$}-#?C7D_N-3;f6Jc-=N@3->Z=b#Tc0Rk
z24(VKcRj$Fw1!}IDjh?emH$-llE<3sNoB<Xk6f4QWJDFw@OG3zn41k5kH`L8aa+(k
zCZFxnj(MVqPwb}Nc6t->drI4aP+fr^%_PI`3eI7JL~j={R~G-BO?8#%;KSW)-%|TY
z4ZK65h?LJsW9#Kd;oI%`P%vOVO}A9X_%h#T<?T{vpLq|Rs;$6fm)|AN3#xeT*RGyb
zbV=;Cc;5PtX$5;yb`<4Hs-WxI!X+_13(@4SZG=*?B~-msE-yW+ge|q=2ULHHW02*a
z68T>iP@ptMI%lGYT1OOeJAK5lA}?!1W19th9;=zS`iFwUA@d=#Y;jckZQIIuY7T)N
zZ#HIk$fI%iKJIB9aonY;KmJqC9BMoKU4~xEVf2#U7NPsZ(bkdpm2$}p#A~;=uK!BL
zN4H;dN(aQTV_(saMUrOlO!bRRER~FTBD-y^Vi#hccE_CI5mQij^SuA#K@tufH&0V>
zlECku+9mrYOh9P&u;r~jB97a-h}f@|#K@3eEA4$v;7RWBynnliSba=-f8{PI+--J$
zd&MVXC`#;;_#sY2-Ne~5bb)tvuk9Xp-fIl=^hb4BNWeAchfr!#8Xrh)4tD!y1jTl~
zs~Bknbl+sDcxm5aOwL`E|0~Q0HqQ6`y%SDAv2_m?zZ4>1^v#1Y+a-;_V3zD27e)~D
ztdo+;-2~*O{7`?D$%FP7YTJTj0*dN|ELM0X*st~<Zlo~}hB^Xf&Xp5TrE^er`6CkA
zPt&U_-*TZM>bh#{F9LcW%{*<_Kt{VmbI#32xX|52+3jIRM2*-dD~5*!ynp|$lfvf0
zkZkw{!fhf}IDD-6CQrei=QmbPb{fLtA|c%x4ha)q-PN_)qJSC)11@)^8bbc;Hr!D`
zLT$^AYxyOLnA)b(V&`ZG<Uby&Vq3`wz4o1BN`ii|F7I`-vLSR<_aAH|%AsR+>h`Kj
zD!A=|cL{OS06P1Zj`j4&;bBI5QOq(mT%UE_^hvz|OjDnGd)CM!^$N2%rcWJjt<)90
zRb&97P0>y9cPKcPbBWcofr?QT+O0*G4dCX3cv=5S1?-V>*{flxiJmp*yzXQeKyqV^
zyF!N|MmQvIzG+Cqp+ekIn{5E8yO-bFE2)f48_s`DGNfbXfN#r4xdF(NN3;|+sNe<l
zlv5|n8F)_8QFBwD0VLi?PD;6{ifI)+QO{R1QRA3FJ5}BgL<THt#uU_%dR|wFu#JVs
zPsZFmyxkBwN?lgJPuIW*mnNr!0c=dMK32cC!VvQAwfVHBQBluBSHn@j#mf;F$0k@@
zxaX<T_rYBgy<d4w?o8ldiCWy@)*D>l=3idN<O=qEu5lpYls5h|Em?5Nng=;Iwtp^`
zqGSEr|0vRjbnvG2wV!(9Jm9?exo*i29s6{j6o;?YMc2GTG23n%L4`0Q{Z}~y!v+Wb
zeE+A5pW5H)%ElPO<J<MF{im3y=KO85eX<^=RVhiI5}f~UYKK<%Ze(H3xuK|_2|cVX
zZ!b4>7xe2FtFj);uu*^Ue;1#r>tj>MXhPL4Gl(oZRr9uzjXy=UElVKlBbzUQ&wS0H
zu(qV>#6~U5wCp_?(4dD3W<z=ohXuJYWtHjO7A?FdDYiw#S`QcY^fL1VzWDv-&)qYI
z94z~3>7yK?i`<*9%E}_Gpe03e?D=61o~f^Ok`s7PtSJ55MnUfNTZI>HWN`4w9+mM4
zJ#Fmu^L_u64&e85=Dx={4xUJj%+RgY!gb9;>ao!Pu~Vm4sqg3DTpqjMgUZI;ep4dl
zZ2;b+fwjsS9DM#IJF?b?i6fyiLXSz-uw-V7a8ZdCO80%4Uy)76qVbgW2YhR2FMK7X
ztEPqXtIda$+BDJP0QdI}H)}Yxc5D8C9~<{?D^IJErlNk)i_cn~){uRU8C{<%@Kcme
z+nW+q44paskh0YpB5jC|ch)n}jj8@$P>2#Xve~Jbw$|XRB^MCZ!N9I~v0w4WDY)p0
z`|&7sYZz^ii2Et%iCJQW>#W<zSbTHwnY&{E{{sL3|Njh^cQn?26vyqox9rVhJ<ns$
z=UPQll(I@jDM?9I*+Nm#pslirjF43N-jG7ShU|*8kS%-l^Y1<9bI<2<&*$9N`(@{D
zb2aU=Ji0EWxcm&^M;G@X8I>vkXYrBIm)&yMcX-e=^BoT^HJsVr76dTvJ}P~uQx=DR
zwoP{L<isOi;v#%i0rUfW$~-D%5bjKTWeZ}%igVX5u-DSy^?#dn*Ir8@|H`w^fs!nk
z5lEGl6s1APIE7zmRs!|bcJ^9rW5S)H133;S%^_sB@90^hO-Q%XN~3;;0X>ax-Z=B0
z8SI`lk+!-mhU+P*2j4L;;OavKVQUpLDAg(MwwDk^VxRcOmgDsJ{@1!iL%b=tx;jV<
zJ{88da`99DY0~3t;e$t`Urj(KZ|jbmr-iU7Z!CeEN{^A}_*_CwO@O&UKRM1_5VOzb
zg)Rouqo3ROj-f1LNU|i%_1pze>X6USwqbhYk?OK8WH1JX;L1jZQ~X$>tY0W{o&o7O
z8Kmh0j6fvcxoWY74-1pGWaR8-#M3AE$XeZo(CC~W`Hz<mRnxPnN357|AbyVCV~Zg$
zX@uYS#L0`ySKV8d9hp(+V9Q|1GXp58)U;yJ<iSK=so1_q7R*+^7YDiq5PGC%vq3yJ
zYP;+u2R5)G%M-IU{Yrh<RQz3EfrT4i^_wa6DX^msyE6G9RUf=sHf2@TapAkAqppAN
zaiHUel&GdBdf*c|!$5b73p3uV<VzcH;c{qCaJH2m^g3nr`R8-t`^k}6_`{7^8FU86
zKIuYLn?mEoJ}$J~dfuqyDKGjuV1dVBU1+?NdfCyC8#8_E&M<ZIq0vxqc@Bdv;C{cb
z{(5fQx>Zt6^(#M?hh~>0<><f<)+1*g9N|Gtv61IJ^8zTei+#w+RtG!=74fJ!FEX8<
z++?jFgo0j|_`GMSpfOGhNtfiq{4Mvk<@*YwDx74ID5S#Z$oBEbhkVFb>O+{+iD1Zs
z)T;|#RCtzR*G}EZk7RyPF$*Ozv^5QLjgzN>BLuTBath$3D2KgYi^NfNyI;f3F$&y%
z9r18`j{vHtdiRUjNZ@U~N(Om?0;0}VXOo@^VsGcaJ#EX9_+5Ko;>m3aFt}>+Nk0<8
z2|Bt<XIrI_|HEMZN&*GEbuO!3B!n@m%0I!vT^2nhY+8mxDZp`kbj{?42>OgCg_!P@
z!{~@<)>|8OUpLC1NGUM{dliAEBl5WX{AjM#84845oLLP&CXN}*87wSG3b>-w5J$aF
zfgPW1hZVXu;ju<bmM6uEICuY;>6`y35d5!CQq@@!2X8r_{MV&~rDXMcA>34Oiu^{`
zHY9~6aQlu6hYIetr#>&)n2*?YvTt{~3`W!!jfaCOJ~}rt-~EOP?lwjakS~iOO{tQm
zp=u~!Tcp2biw-ncD_+k@mBaHtcuX$ml29uxq*mao4kV>qeReoZ9!YtAF#)gC@$gc=
z3H^CpI2P2b66~jdM;l#Ew0zRQwCvScUnf0i4AOR&bXCOVhMC_j&6+61N4ITKTOS-P
z+m=mim5{N+Sh6ou3w`apx-KgjK*rC)y^=c0=#_A(gw9YKCGHpTIgkw@D$u0jtdI&i
zw^@&D$<s#vhsXMa9E?C&laae`NCh=!KGtk**GBW%oBurvHwGW~uhX(cs`w`U;(srn
zYNK_vGRxlwCQw{2-@C<84OgNPuerHuqYaatv+p-k5S-k-?)X^^Yg?`#rWR>ohq}S5
zAAII8ToRml-I|2^m$$x;d!UIPhnhP7)1^VrH_K-t=SZj*^_Ts-j|NKIKH;w?5Ae}U
zq_!-Fgu5JwQ%8G9Xydqfzu_GK`_&s%?<*vn+)GwEDy)W@ZCky7*#gwV?&(DDAz?>E
z=VY6*3cegsPik|wfZ4ycyfu?*=>6DI*jPdd&9obmwQgI$Ug{fh2`@D?ZY+$IXHdY&
z=*IKKuPorLvIrk@i7FOoIbFX0M|R^}!YRK#3rJXQj_mDF!H|(6TcKA{*zUh(?Xyv@
zu1lJI`&}8Ok2)y;Qb4W0dX9>t?zq;N&1(y2N$7rXtxpMkxE0l&xr-p@Rs9;hTnh+T
zuKK0Wpon{Xi;6sD1@YaoU2|5D1r!Qir#RhH!0@w;i`v$Fs9^Zbnt^Hom(K~?mW9jX
zvFG=yZ(ZTUP|r!9?h%0E4{r;0ILhH?BfGQN`&iLBcz3byEdW{!yerd`#iW~&f`<kf
zk>#%FuTmR;{H|O7$STsfmig@ZA%1%7=A!fd+D8M2d)mI+IVADW+=}z<=W9g&&*3nN
zG7T=Y9L!H+--LPf;pr8}mWj17!(I8u&4F%}{brJ?7!GIr8=e$dB>E~({$Z&z18Jf1
z+#G)q9LxG%zd2)`P!O)vsbMsOTIG7&^G*og?v+;Rd_6}zPC61;<!A~EW%FlET?8@m
zY0#;H%sJwR@x_#9_e}u!B`Ro40@%8LbyDEh9PyiW^wIWNW5^0JaA@e@!x)Enwr}_6
ziHwE{|3-UbSjdp`jZWu9p0p#q)Y=7tWTK|xRA>Z7r;VSq)^cOS4C`B8@g>4FNi<8G
z)d=qHt34Aa!-a8CMU%v{WkUQ^+8^xzL+Fz1VWT#3VA-<$JY=pCR~C8&?tU_Wi$6q4
zKHX!-4_A9!E$^)p3vF}!{$K!2+xi>DAF&~2(=oO?N9gd_j~xS7H#qX`y#Jnwc~;cl
zQa7M`YlE9t!}8@+^kFLUV8rnNR*b2=G~4@?0d<vA{YA6&K%ScsR=HR){#`6vkscGe
z4UaoT%jiJ|<=2u~FAFwIl}<Y4Fr#8&e&zlgU5L3RvPbJ33qJjke2!Cz70a(4n0v3L
z3w2grN)mrq@Z{yb_u&K^<{ZpA_p3$+7I&wp6{)i#&sbR5&66CML8)(iu~`S0ZWtVR
zf0-3sNa7r?t+>!oX=p0`3l&C0ei?m}V8i%33K>~c9z1OE@`PtN6{bZ8ilSTCP}(Wh
zJ4%iZUsrtNNfV{Q-M_KK?OW{VPYNK-n(*U!g@N!r^%Q7qzIiw*odf%A7M*t;5x_|P
zk4qf>6j;Byda0y{6Zh`jDYm6d5Z$5zf_Nk-utHatvHY70W7X&5li7vQ($+bo^Aj0r
zTI&BhZO?=8p*{nx(IWUFC$f3?Dj6vJx~$>dytw*imfXxGhP<N5vqK(a;FU^8y=Fe-
zn!WQ+<cT=GJW{Q3L4yqI{j(hFHT<Yt$kk&QFM$^WE452l$Uw~fS^4`+09l$_t_Ar^
z;kUub<d80Hs6Oqgz1Aa$vv&mURGpB)b4(}Zvma|iQoDV{3b!yms_Tic{!bPc4;84m
zRA|GO33-kN4-q76(rTxt<?yT4Q6aZxZFu8$D1oU_6dB}645yV9Q0@%*TiuE_n0+|2
zwAor5C#d`0F8M1WL%HymKWb#iqDz@=9@vB?$sGDKPnEDt-(E?{pA4~<EPmdZl4vd+
z)~_V0f+gZU0VnG>?r*<i;p72nJXaU_H8@fg&y3VUiz)>)NVAh)lw@)1^YXTmA8NS1
zo}exGkOH$S#|~dnl*8&XyZ#1mRmVpy7o8=yQK8)W<JDdbc|0;ZXDV5&fs5W*aRID4
zpf;x1m}9Dd%5f@!cNR3!WYNo2^qUSilyRq;I4Pp%)q`T^HMH@&kJiBDE?rPl$%`^S
zq=an2qy4$kWQ;n^zBBNT9>_+9$E2KAM!pkuF*507EJ!_KEWOD94mgF&nJ25DVHEdD
z<sccI^pe?M`WV8`52^3pC#s_N`5v)AJ_^=<d(AjT7{RS;kJJ@{)Nu9SkrzY46kO-_
zQ@^2Z0(J(wSYBF?&^*0=+w*ZU?i`nP)3|F2<JO~Fr2cO3Bl%YtS0))}O00fY@tA|=
zoi^{uXm#|eo{3)KAY+VBLWa#r8f0HP6MpTBI)-%YJh+stg}d+E9B%Uh=vO?h5yzo{
zsw2z~#k(|6yxmdo^8$cN16^J+lLmUP*vT^!B&`41<>!6c0<I*q<Qlc8<Ku!8;X#3_
z7&^4Swd1D+>=3$on9WTcInrb9e4bT8j=Wom9lDl42X;4X9+R;7XxB2w5e2Lbs5rje
z-x9VJz7S#hrH0zqC0&mU$|8we_d7Ph5~O98bU*%4#l4JsSyewv;?r$2Mji2%&^H_&
zxci+7;*>{>tEm{q);&B_w9%)UQ@CL0nlfgKp7`drE{J^pEhPRkwFG0Ow!Jdjl<-^W
z{z?Z5AI>BdG3)-bfU%Um@Sr&bydcF|SNMz_`vmGNDyl4?;Dee^&&`dzb&NA+h?5Bq
zbm@?4_F2H0^3&(<)8vqAFvUIc<~m`=cg2=UX8|l1Tr`gL$l#2%3~AfIJh7bk<WpG|
zK-Hstg9f%zSbC}HOa03!qIBVlkA)$?m>V<Qi_T3*|2Ir!R(Y7Hk*wLFluLt5v(OuR
zlEpA6%BE6(>mczXC%5-qr#Y<LuQhqRPXx~t{?nkB?ImtVn=tO<Foyu!*dBRLAw0Lc
zQh~wZ6VZ0OjYZbd46@Z+c9xtIK+m<3f@>}x2<K|afW>H280C}l+5eRfeIE4ejxT*r
z+@qsbop@man_~xE*lT&Pp)-#AndL_!et0)iFQW;ZxqZtdjd6n`2WO5H=yedLmqrtI
zY&V8W9b4sJ-(g3_n<EcSxb+afhU#;BvW!5b=X1f07*>px%jo!U_$#q&Up{kS#t<eb
z!h6&6n9()!k6`SzL84@i`A@ICA+(TU?(=gnA({7Z{6hUtVpMZ7RP=!XB&jPqo_)Z8
zZ24Ma_7cMc`}=d1D_jP^?WLa?5l@e_O!kGs+)?83pSs-#L-Zk;U0*gol@60WWw2>G
zP7*0fVJ3Rt^dRr0AO|V&AMrF(_fl!vG{LyJ$ZUtB9<b#uH`>~+6GDnc`Z`H}iF%JC
z)wh~-fzdOdLfB)CDEgv$Fyz7<;UGI!#bBljEYB#Xh{vnM<G6v(<bnl)dD&kxtWF1R
zHNQ(Y*t1HQB%M9F)UiZxy*ST0Y@`F{@+7}d^i~PqC;L))C0B{g@;TETFQ_2D<;4d%
z$5o<Q@UfIb>^iY`WIJc!W-7E_zulsjw@Q3olyFRmr^Be7JjRpl6gYl!Yk-sX8d26{
zw?(Rp9>=fb#Ax_Z;GE!rE38v%#8$swd2GOl`cJAD{1?cuy5qBX#;<ikZ(wAzY6BBK
z7Ut)#NhgE4wEuxoRyt%@`OulRp9R}`)hARocoC?QWm`~7hcC9aeooxrp`fr$<I9^H
zd%JK^Avu8_dop8>rYx~zh)mQ3-%l-Avzq(q<<Ee1Yn<ad*Eli9{nT2nffn?A$+FlT
z$cW`TPsY9{@!;CvrTpa#O-NlX5o$?iLMzj+AYjFZ^<K}vRjz8lhb6|QL+#9%SYBb=
zmBNqoI?^A{9oGO?FNIiH16JJg<2Y?;Q~-4ZJp=tF)Pc^gT0jxmkmr$<d1rtSs{X5H
z^E#~#{BmcO29I;#%oQQyc1{sg*_rnWh14O%Eyak*jtiS!MUCuzCyHr_dCU9+2{OmZ
zqWrh>;Irk#Exk43Nc!2DpcqMl=l%IEX%>9=_J!n3dXog|<p~dLvL}IK-S_*7q5KF9
z+*28=Qpo6eW9%e_1Oj31k(rGGxE4_*^GRD42cmSEgg5GU4|~r?Y6+p=PckVkTn^Rl
z3k$nCkU-|>s|Vh-!f0i0Yjd?z9*g?RC%95c@Lu2hY{`C6oKuKudS|DI%0J(qOdchH
zr^Y7!cvW#cAksL#^^+3LtcUHo9;OcTZys|$6p+9GyOv(dAQk+`{Z8>bSp!CP?!Ol%
zz2R|7n>l->)UaxOWkf(m6C494d4la_kgNSJeP=fbpQ<)W%h_tdX3~df#kaC}OrHFD
z?+pzsxn8?gUa1ZCg+EQr=;bj)i}bhLMGLEc<!L;wAcL<~;Asvk1*|(VdU&3hjK$AV
z7iG#eyfP#oAEzneU>bvTSO*!8T1WAHX{SQSvD+Sj-;^-+@fmyhOB7_TasHhrqYLNF
zeOb+QR4|Df8XL(}TwxbstG}uT{%@Fix#Cr^RN{i^p@&qA&nw;&qhSF3&PJCr8`Q9_
zREP3um5Q(K54z9%Gz7<rLvtyUB#g97+fEkI!Btu&o~<#4wYyFoAJ^5<@svYU|1=ea
zB4cM)ubRRz8U;=L*1&j%*M<jDsmNvRlzRQ7IfyK>4PU&giNb?^==zm{b_w>0UpBlf
zJLR;Eq?8ugX7AII86)GauT`P`YXH~Uj@zB{&_cfZY7-YCv=PQF_I`S40h_Y%_kgn&
zR@Jv2>@L&5Ex(=zIB)RC%4)8olSK<F`u52wW~$-%)6DRK2}=;TcV$0UuqN7g`V=s1
zRmS4GjWe;^t-!@HrB3{o25x?0rd2U6kHLHFpM5xM1^l7yf31?#@l5NZFiUe8<a>9<
zsphs7j1qpNe<ma>;$FY^bw&)Eg2uH}E?U7$S7#l|H>#Kzrz^~*D2Va5VvS<Ftl;qS
zKy$0E3eJA}l_fO5i3eXfuYBEP1&3w=HT*9qVd6xj&qNyo-ea=ZSM<^n%5EK3^y^i?
z4BzePpULwCQ@z_?Hg`*y_g2*9QIbbmrw>ou_;(^<%ifxtVGHn?yVQFyTo(DnB>CJf
z7twxXy6^KovB5{N9olSVQs{m<#IrPhkfz$PkmA3QD`Jjw^^0HGgxgQ*T{cP^rwwv?
zmCHl}$d|V7I-4Vk3L};st@3|qG1G-!W=sI?LmbU+KZTICIKwd|IZsQfC^G#lLEG?%
zsPJHS0o0@}l`1VQ&^~<eJ<_RX4!^(pM*L>xLnX~0P91+2X-{`0I_kQZ!E)q*n##AF
z7_##rCDvkzCg<}a(Jsyu?ruArac7nlEhE_z8hMsz94yr)LX{@)PrW2yB8CZzw#9yG
ziCd&?Vw&{dKVl54jxmq>57J}wyY}XVng!a_V8vXwsxhQ$L29eb8ZmCsB2P5W)4~)O
zc1s>N0)c3i92w6=f?xBk;>qSY+P30Qy4TMPfh=>VFO_AM(91F>gqvn*cR80BLwO8g
z-Rz0oEP0AB7ZQ0Q)V47PVzRNt&j8+p*OfZo8zD|i-TrUp#|*8}tF0rbNgqVAN=|8)
z{2(MREY*G%nxU;%KTDI|@UnT1+0$9QUx)xNlQ;#RX&TFiuf6GMda&3RJ$vxhCnERv
z^UIIkP0^SS)upB^>%!Ao1LmV&nhCD1G;goHQ?wI5(o(yR=z?eIxSRHq3Zms-VzoKf
z6m30YeA<3M2O?gt@FqCq(5CyRH<i~<(i+_VYP@jKfrUEn*#}glfk%!%Q8Y=bYthi>
z=%7MM;%j=}=dH9?cN=Yq-bq@HoZ1AhGZn^)YK-4d+i7zR8DY+<Q?%CP#LJJmDe%aY
zy+EwIi?(V%WY?NJMVss`+1BGp0dE^t&7Z@4G^4nWdrz=U(`0$~jrxy}Vfg0j{qukO
zX`*BISIQnv(_l0rduKQq1ht>H>zx>+9neXjs)x_eCjV>y6U#=1)1=P1(>_0Flg2gz
zUk?7Ig?XvcH5zGyaQDf5>AQc?B-{P;c_U|O+~$oh+7D}i*8BxZqtg)Wabmc1@RK=O
zSC{1n(Yu;3wL?LK&vS$}<nsEHxa<PWx{6aMu2%z6uYdfg7e7k7t~P9zTD?fS?Q@y$
z-zE(Z^H;vx`Es1rTX-#`K4O`+^+a8MnvXhkNYg297M!BJv#_^U4_c*_zm1&It{{PI
zsB{6d$29F*o14YQyX&;)^mK>D7)fwPqBQ-+vl&{Gi*!U*A{{J;U(@g2rv^pWa{VqD
z&eFsZ%VTZ&=r{88wn?5Bs_@@Cx{IZqbF>@h1#B&MF@g`CIZr66f-$#6_OELTG;<^K
znARC4xP61=m*N!_cqtnDBqDB!R{df2<FV%~;L_(;dXYs1Zj*e2XRfW#7ELwFq^sHB
znAhGF&je-Y+jOtbXkd-@<JDM*Mn4BoC&uoIu_(iz?i0}t+H??;v+KPhjT@3jZyLK_
zQG&{v@sPt8>EZR!!tl~ByfCF^dSpaJ36#y*&aiSb!i|;a&L8{uL7Ly1tM0WTJgD3p
zoLI>OFPBmTw@eEFi<8LUbg&|rl7A^g#jt>fcd%4$i4fR6kbk&JQUu$4FR>5dY@qGO
z6a|+=AlLE~TiUb&To9S~o}bMDA=mX{;&Q}bJnYt5)f)v^;H@e1rQ?R9!g;o>zczu8
zMR@YBM+#7V(7Cqg1}~&W#Kj!nCk1N^9G!wy3ed`BE_>gAAF6Az7cE(2;U!DHRQ+28
zi2E0OBe_WcesQGV?maCB0po3!bWDn%ktMnw8Y%>#cN)x2ax1_UPG5_PeTpD*G?A`p
zn+R-v<*pa=LJ=MX>m(c;Py{zqx~NOr#K70XI4tj?GF%?tqMMqo1gUBs_IJZJfr>TB
zJN}d^Y^~{w-WRG2z89?(WZz1{K-^*DEwLoXPdkx2bVCJd_fSuVJIKKAQ*Vzs-_n4m
zDZ1Oc8PuRXNpxv?RTeJ%Z94F*Q45S7RPdQUCxN$_iqGXk^02MA?#o~V8SHY$?#jN?
zfDrGo*4Up4aP`fxp(p1lK*_7Dcn8{0w&Hj_Fh~iW25J#PSEwLcJZKQbO@VQ}x>Gkc
z{tIOxXr(D$2i*RS7MNF1VdnX*?-}=1Vg5il(Xm|@@?ITWj6SCe9l33_s`?}lqL<z=
zF{%rb(aYbZuj<3i%SMyd_3GfNy1F82uLqxx3kkTj7(!&U>n=@_Cg^aPW_5V#!CM*2
z9g4Chu>bVHnJ>q+p!D-n&0PsS@OWqRob{X;^i=FBDUH*HXOybqo2PW4pV)pXW}F5w
zRo%APDrCs>=r-32(*fO+GLJc=EFjN#sHx)+8OG_$HXjzILdBP3W^(G5Aos1CN{b=`
z$9*4)k`Ec;uU8fi3R}T%{?m`vyvcC2L3Z%cXAPJxJot&X!wU8<aof0yk-=!^J?8m4
zszCR~ugPz}H3%{kYV=!ZgJ<RImJB0BPz%xOrqx(OSF&#g_diXLQPE~08f9QkFX(tl
zmo;!*BUQwl)PSA6VR8=fqEHl(^k((7HLOc9jL|<NL3z3~)6!R7xR=;2Jf3b1Kc=~F
zH#}8^5hp_Q$4LeV{wd{@rf&@w#JA^(lqzp<i6Abwj?!#)Z7bj0WChRFto@_Y6+!o!
zbl0WH4uW@3v}hfy;7a{+%8wKBu({&Ep3cHqA|dflUS^dgY@H7LO7@h6UGA^+3*6}N
zV|D70EV+&OxbjKrJe35odm|r3e=*^s#B8k{=@#&~o$sXWA2HZbU3sdQ%!bqE_lFDr
z0o?gSjx63S43{-tstbp4pncb+<(nY@L2B|mz4QXmNn!F680EzGccQf~^wXd<VXfxF
zcW(H%JGv{L;KJj^A-o5^nM3k#{X-&lY%p4`_PJ7$8&@<ocJqW8y!T|eYOTWv#m!;q
zo=V(!+t~U~AG;as6(>t}>aWqxkd9@_&vW6miHNh&WK)n0{IJ{q?<`IE;!Bcz0T(JT
zGwtT^F@c`TVoa_=qqN?ICV{tGxKO8jJg_Ls7%ro8Wz^lzw5(w7?wcc=Sk@f&AnCgi
z7+&&}Go3G^#q!<mXt>6SFNR9E2DOc#?t(<{dB2YY!+e{_7Z*+(ChjrvB^iQ{Ug!4?
z+IQj(by>kzhZ7&NQ|#jg4dBtg?Qw5E{~=zrNlEBxabo`_u_v|G2C&%Bw!>rhG?5@}
z@@mYU6My#x_3td(@Zy%*(YfEVMEWU<YV&kXoI13s%P6f6TYrkln^PBw`%Yu|)MZY*
zx#gAg#f=>9o4GJ{!)ArpBd}t<KaC673tc6fdGx?9y!hr$t##t{K`TvR2X5@!J!N+_
zT^Ig(t#rCX(V^3R>+X019_&=SY&I;c3ngB+80mZHvED=aUF&vU3<xdR)|{;a-y%F6
zytEndUz5KY|5iQ>Oja;9)zN|6wI{-kXPL0i)=@2hi67;&bhi4nQsKkAFwdT!%%~N#
zpsCr-kLO;hJUMoV3gzqt%H>;Gk(YcvL3zW&4u#%MN#mfxA4QE~_ZMvFY!wh^+9HS*
z*A|}gR8yebG>oKZ#es3P=VlK75yC5LLuhw^0uyDw8B4!#;)z2m29H%lQ2yqS+d~No
zI0Wml982Ryj<16gh6$obi}fph-bdcx%2U2(4_?f>Rou?9B8Crg7Ox28km0>ngUC|u
z#(VlL+(}nAp|$hx%?E<X&^)tekgbFtO@urWuh>f>S8l_|nQdg~il}{XsYw8tGGZ0h
z6{Rr(?&|qc$Z*(RUw&y?5OrDh%uMmhVpFT(Pht6u{sTro(sYG!h{`LYC@qH#hF)2p
zWXLcR^_Oz$q6k*$g_?Gn%A+-11ILm&8Sd|!Kl^Y^6lDt^2zdu6;Fyx{6;@j^5Q^z>
z14-h@Uf}LgT%?Fz9DIVgp=4+`I{o~pvIH7GHb|eFQNpeA<DV`(CWB3A?NRFiN&FuG
z0RR6Kmv=bU-y6qmB70`<{owJ~>vJOwyU2==tjZ{qQj!W$eJe?%BAFRUMTzH5NhOhn
zO=NGG5q^Guo$ES(oO7=Gob!I&uNLQ|=;oaYICeFuIDIP_l%>25eJT}4d)po9zq1wb
z<$eR(f>UJ3w{@I#vyw!|ii=7ubjs+YU*?~%L56)9ir$O6r113>>AQlSD)_vzF01!}
zCM0hu&{ngPMvHfh8IxtIxU*gFIGZ~K{G`KuNB7I%k03s2m?NR0M$)xeEiI6C4s{7S
zDvK_G#Vi%u)RD7(@^PcGHYhiJ<F`L6hZCm*e+RQ`V0lr{>t!Py5c;X&d@NBOcPy}d
zt&GsX#{7<kl0aPu{QSIa?V1917Q}^4Q8h4k*Z#itVm)})VdoKZNfDzZH6Ml!X<)Jg
z+u1P&1Gq?Q6ha@MgjzZcH+2RyurT#gQ+<FTbYVcXg@!Wr#8QfPJlDYJpW@wpUyZ;i
zrhkE^O&ML<k9ClpHE>AlMN*Ki38d4=0Jy54U1|>tZL&HRc7OZS_#Xic*?s%4L<JAu
znUP%+QN!mG1z&Ck07%A;TH1eC!FtzhzQR4KsOvi;PX8BR{&InoV!aAp|F>Az0Lo~o
zH0;R}VG94zKVemlQ^7m_vc=7R74X#0Gc@PgO`(2+otcqG1%p^(R3H2&hb}Q)WJOss
zQ1Ik9K?zdE<4zp5k^(Y#(SzZJs-qd?UbR;EaaRe?TzlB?I#UvFKdSvb6lezRd?hu3
zoA*7v$FGMzRumZ+w>dQUnZeNWbieRK1?;#vd5z2_gx(>?Kdai9fquE3IG>9=`f*)<
zV>`!-?5d}CE=ZUGYx@I{3|=|3oYH-3yqgPMUs;Q}_nSiaLtxZ-CxcEsiPaC3Sh41#
zU|n{qDI`)xdv1kFBMsB}hjyh5_#*a^z@V8a1hCl}ycU<j?(>6dt)eveNvQJa*bu<_
zoz>vVJPAD9kowZ*!!i}-b@fE!05W#@DW6vq!=~0BB{v8DP^H}p$4^KD*jE+rc<^2r
zX*^{nyx&hy{oRNEN=6azXwPJ-a=Z}k;o=*cBn?sTuRb1yG7|{Qa{X2mB!E+$%!(tq
zebjmWA5p@i#(*Pv!h6r~;XiW5MZ>CY>ZhimAM-NCAg29sMC=(4+V43<E@SJYesUO8
zD?Vrhl=w~~Nq%mGG>bCL$_{E<z^#U+977oBb=YBV%!y3%(S|J6UDSO?)}VOO0De!>
z-u-=lEABZ^OGF*&rH+1}!y^U;u-ij2?!FZ(dITiukGJ+wJ3YNK`L5_gYBBx2+XM@?
zS!;Uzix{9**obG|@7IHu`EzHko?ybK3?*+}j}KD^u3YzBFxCT=+0h)y2?lg3;C#dW
za*Ucf?DK8?o-TwqNIjpvOOK5Dw&XCwDe85}V`ca0bfHJBUFFqzIt-;h>iBYLhAQgo
zCj9b<4(OzmEJdWzVu{nTQ{eC)s>{6Y7Oi$|xOBCD*t3@gT?%_6ZO7-S5>0G&%a+=Z
zweBv*Y)^xsPwP)u(=SmUT}+YxgIW;b%V}58yg{v!VowXw_)Fytq4|&7Pzw@HKcknh
z+Mx2$d|`SPzDf=9t539iNr8#e^Vh0bH>ip=lS6YYYt%LMH_j=B6cF5LYMIQoLH+$n
zr`Sz_1`mdlOQ+sw!irDH(W90dRI~i$0*({3NZq(7<YKJ}6v<_Vrgt0E@OgTrsa86?
zKAP*))<K3>iG53_jc9OOo{`~(9RnU+wOEV_BEt$xMc&|38jQYZc=1y&BW{22h|Y<D
z3^%>U!j4(cB3q8fyWAvZe0(x^DCU6%{27a}H<+iz=$zv!flga+gXuuD1fc=K3Mr2t
zQ|a(C@&0m>IU5Q*lmGDgy*jMZJ)w=xr^oNj|G8E>v13GC$jq3KI!NAROMSNaAM9+Z
zQu~uR(PQa`ze9u?IPtc?-JgtTHJ9}%VS@|9rsi+l?;?R$^|bIiac1mEDvRA|%Y#3;
z-s|15BSG?T(;`D63&vW-mHSlkqWX?xW9=qYpzvKa3KwQY{k4Mq(!h_|pe~l~t_siM
zTKf*Qu;I=4YuB2F1@NGNwWai56{uU$-|%|Ij@b`rPM4PnArJS?0|B`zz{`32sPtP-
ze4FAWO`j=@MpCCa?EF+fO@Pkv9St`+_8xxR@Jtl@Wzwox4OL*YPU}AleI5k*-Y-9A
z#W84ntF?-P3S^PcBl!w1UK#2*X<j6W5sm_1a!4w`y0yGg`X3+ek=vE<eO?OvtBwkE
z?@@uc+)g38%L3R{dFc4Py)r1;9;2S0`u}~+zglPuA^Z5z0`59l?3$&{IMS;^4_$iq
zIE^r>uG0%lS<0isk<8PN(p15v?Y&X;ga`&7>-1*oS3tJ{*9SG8BseWl%9*n)hDP14
z4s7vCn9k>QR%pK()V~U)9p;wA(4iM1*4ip~_q%N8?i=bLKPq}nTSp4Jv}*R87*fUd
zhHlc(1r0FLqF;IKFOAGUw|sNEsfH(yICVC8li_TVx;H$M!S<Dxp<aR-xc#kvvi~7X
zn3Qs~$Q_ZzNW=Xyg{>M`dGVs}_!SE5lJBGM)R4z*eL_aPv1AlK*DZOXQwyR*^=zt6
zDq!%E(5`hZO%(4A+MjN#1Gjy1Pj9W*%yZqQ$n&Q(@$vxid#zs=bcQL%E)Of=j>8}N
zyUI0jeOG)qL$W?p?DfiLrQPI_%|@qUr6zLj5|h5?WC+LJzw!IBqJoSI9GuhVG;t-p
zjA_?q?(y(CP4qXYqV_`gMMh>#EaXf->_1@wQy+Y`mL4Ht68+a+XKOM-tkU7RJpfz3
zoFV>eA)!-^rC#J-4P+s6<fn<5!t)ok4JTGe7}PoP?h&DeQC)+vIxVIU#CAs_rk8{l
zL%(`_J)?rZwLdU_-{jP_I~~uQVo1nSYOqW?p@{cP?U(3(nL#A6{xzUS6_06s2_M=e
zhwmwRDW;m{ApUExuXRlY3uG1~{_sd+BR`*~fR{P^ecHaJIH-*7)|FC2zr-*^+tp|7
zusLWjU2J)ip@e%{ixxTO1o1;lNFIliIg|*nCR(T|qDp;4^3(G?n0#N&Do)NEQr(w~
zMzZBG^9aj@DJwQ)vG&m;ddxu0gLI{lSq|^6oicLjpu>|K)^xg;%wQ%#w&J{x3_esR
zHCG2LQMH;?d6fUp&BmP46si>N?e-olG#aM*>(Hs$JuwB3ONR1ZGLo1%X)<nO@`fr?
z8fm6!WD0o<+gRTyiDCNt9PTSU-w6+$9hVB~0DdbRJs(9D#zQMF5<?RPiJ71K-gVmo
zoFu<HP<}`dUrd!Hev6+ZjLJ-StDh2(<}(-byPglH{#=YwK0QlRCNP(t{A>cBvvYf{
zdhlTH(u}aN+#I1k?)AlV!Wago?d-10bD`F%lt{(DIpTA@>_R(_F}P6<{+!yr6=@V*
z<Aycn36;F)fE!>0^3|f&w;!-z?p_+Y&apY7GS#~|IKmKe6m&y#To^Gpl;`_f>p6nG
zZr|TsWd^XK*_MCrFdZ6xV0n{%{10)|u`0b|P9F}ET(0Kd-=LNYu4r}~pCy$3+qJjZ
zNFTlnaO{YsS*1?UvYQj0GlXSOI%i9g9@NYU2b`K*q~<Sft!GY}A|^7<a9;kU3)R^b
z2RvQos3!k(UhsQO5V?8#-LegI!Ntj|_NdkjRhc$;e9n4|*pO*W_>raqt2^2RhR4RJ
zr#zyM#=4IX&z^kr>0HwWvJo#Yt>h5(&L`W4;<ty0xUe^kC;hZxbS-nR=T9Fs`RQ+k
z!1V!wb78<d{F@d)RY3mN2VK;YUENvZslSPT2YgjBw`;-EcHQy_%b(PgRd3QmpMD}M
zijAXrlXveTN8akxHB)!Fu+Sg%?jz_dm^-^PDNru-Ztc-vJ+<G|sNV1TFT&ftO*gw#
z6V_=~d_)IosKp^`mqL1a39;p|Avz6B$dsKI45EEPJr&G3lC<1Ih|XNI=qV?IdzLq+
z&Y3uBn$HW_rXxK>;NNS%wi%LPw{2Ra%5oNwDnTt{)$Sp5goDH~>NMcx6`NOu+2zD^
zoV?7DJv~Gnd)0!qg9e;)bB-V%tR})ZIE=GudI&np?h7g()FIH)pGR8fEzx9gb($us
zmk2u>C0#qM25wXZhUmz8!nWMX{j=FG!s6pAA#E`=*l})ktM}CgLZ^!UjnwonB8ps7
z>tRoV`E4EZED23SD7nDBv$l`8as5`X;AK^4NhOuDRevQ)PTFp%ujwZwcK6y7^(wG@
zXpMI6<u_u^^%9@Tz;D8aFXPfPRuy2(EHyq{`-6CPH}Xt_)*vC06(H*3pbYekR(C&i
zw-WaZ&&N(b9U|(4v^3bWl;G-lnI~$z9R%%NxiNq55u(#_jP>Q5A|#1LMCS%}5m_!l
zq}%3W#N8T0Cvz)B*jC0lYdX?HB-@4!gnLX7%u(k1Z|5mM2C>dB+VG2L^h!#}DxV_u
zEJZjxU{L`1jv==5#{GoUK`V}DIWt7-H2oLbV0pOrVbQ{{={HeD-8<^f|A%lls3fJe
z$$^M8i*eY+L84BP+h$+U9C81O+xC+?<-o?0raHrWm^eOnaA|Mw0`W%V2lwzRSvWgc
zkZ|e9DA6=vxuw)|iTEP>xnx397D(@w;tu7F6U~Mh&-5?-CBA3!98E5jff!oZhoiz%
zL`=(P`aJ`y#AnB7&1nr8$T7WYqTn|}7_-*Cn2cQ~a!Mu1;uX?xuauQjt8bRjwr{%8
zR!##C-%X5Jnn}aKlV4igW9NuRVy*xFTGN61(ZI@*7Ad$rAjSF4W`X#zvE%0$7Xus=
zvH5u`Knl9%h02z8E)h*(v;y)BOu*#WCVqfH3I-IoH&!G55^=s;OVd<XATsCdjZ3+b
zkbb9j(y4ouIJMvUL-7?>XnfMsl4B<cT-o#aA{W;QQCFv4OA<TWF(Q7RqmhJwo=n=P
zN*V|$TBV=f!Uew^8Cn>_B|tX)dQtj5I*`2M#9y4v4Rfu`ShOMzIyVI*j)*b9JFUC!
z>HfU1we^JSr&MtemYb%v;A4Wnq&t1ZuKd6}U%sQ&Rvcuf(hhZ-uz<I9m@Rj-AY^vv
zALo=62kHA_(iRU{A)xe7DOdY82wd==OcfP}#^)sg1Lo}Dp+8Nc4G{&pVfC0o6LBc1
z;PI;D;{tvACs`ufCE!K)%{T9Fhy$st`DsuQH)Qlpot06Og5KQW(P423_{|rbDtwd|
zKF7&^^Xry|+*k3Zs%Io1#(he&)`=gK*=K3~J&^?#`tlpImnC6(&P8~8h#>Tvr&XF2
z$U}F|^VI|^DUcT0PtvU12IER&SEK6`p;MEgFw;UBNVlAmQz@cwmG_iJ0KE!CUH<mw
z`*|7I5KbyA?iYs|#i$QC2S^|+lF0Ijb@LtSj4xOBOM>Id?qro_b$I3Mdu@7L9yGlf
z!Zd=U;Y0NHV|DUmFs*fz-9lCZ`CgNmHypB1X)4?#zS;Nae00AZGN=N3pI!R3?VTKa
z9Lt@!aGL@$rx_&XdDOwJd^?kPf&w&6ocYjDw%PY=oHrnOks*R)tC{7X1SX1Zk~VqT
zpvIa<eSVSxMu!PaSuqv($jd)y;im&8*3-!c8nxlZV2=9hHdQ$F?>@(yE*%)&U$*C^
zs~#B07=&v_szKG;rxfnLIv`fS6kpD12p((2hL^|HfoH4SWXEG2(2#!{r`BZ*w>|-T
z=XDJb<gycw9@7TWjC#I~1Asy)ljGW^A1EeFeTm#W=Y?7SI}Q1!!25$oyV#Np^J#Jv
zEhY+_{lZN9xYumc{XFc&+{y6r@w{m6k_O~lAFIq7HHULO&2}T&WN`8oo~Sh-fvUhy
zdb6tS(5Y-Ok<_XIwF2Lo6_pjC#dCM3r;P>d7e2D}in#`a^uHedwk8cFZArg+?peT%
zt;{zA*VRBx`_9kfLn4rv)ZF#3)B=ha8+f^7NnmFiM)5nt1F7cb66KdI;McxZ{;@48
z5bHeJkk7*aHnlqZt=bllH#U>AQL6~yc?w~lzYY>FhrO<`Qn$l=tn$#Jw>-4?Zb{2y
z9H*Wt@82n|u^kfFO8dK)WT2HSH)4K|28H6+q+Z@Mhv>h%Jr5*HL0<I(>jYaC{4c7)
z{Nt1v+!E|KUKS$`>n7~kE<zmmT%UH@+0qQ0Xa%$LIECR{!1A=J3^y7#$Wa~@n1ZpZ
zytczHe$f7MtHJmt4}Op~^Y-I3g&Q65Sx;8DAz!-G<og+3jOa3TlQ|2p_RdA=X5CiU
zU(@<DgpLohc;22{8zR8@RL#L9O(wV+FOke_!iP>Bd|HfyCU7v2?Nyio4MYo;(6R5}
z!wcJ^yvyc{Vf6+%rMz%~5UV=2w^o%8cez%Kk8vBrh<kt>>)0@H>95FQ6%8K_ocB9-
z)Wis$*jlFj`SXzwUn1=cZsbKT=a_qACk;VD&5ELI)<WIwbHT9UE-%U#%bKfJ8^GBI
z83U0L!&K(?bO-hy=S9(nw6}%W4d966t(}^!v()T|_7{&k@uJ(ycByJVeduD<Caj{D
zs4>31HE*qWQ97{0+3uqrtO*=04!HY|YT3%3%)O5nB~vM;Dq4E*Eb0C0)+`#FWneUM
z3FpOocC)XWb9G_Jc30r>IyyW?_hWpckQYZNk5qq2>cWvL28E?>7*MTLwSr-V7Y{{N
zhzmZ{fxiz6uhKtY!V6tmTmlFA(6;X1ZX0DC&~Y+T)$nCOLn*7#lHYuo!Qaey{G~Qb
z873UF6=B7PZd@M~&hg{3+Z%R?cG}RqH(;f$o(;1XS@Pa$31GqrMeouHEvT+{9Ipsv
zN5L-Z?Uf9I$k%B2p8bXv$kO$<T8nVv_G*udn$v<f<}y7!V59|kL%}qJ9~X`th?jPr
z7ecjX>T>Zj6kt3tChxVK8^agk*9bmgEdDZD>smyCFqL05oXR{H`p=4g(N+W>=sbV&
zBa{NRVar>kxA7wV5ntngN22%@9jD?=C_sPeucsj|AI9C@8FqkA93Na1-o_(9fs?`q
z)ta~Qqt;^1tHApb*jAGIMtNBicoZH)$*2inkneHzkxWT^tLEu_Z%`9#jy&3DzDE#K
zmp(&Pv=n+J{CU2+R})GSXbJj@LTEu=kLug>#cp>$ed!@hNNZ;Fnt#6y4Xp1t!hRW~
zS-#+-w5kc=pLhB07Z$-njp2v`&a!AL;$j~pL4mAurx<0UMN#y%=*S*7IgGkOc+fgh
zV1X`vN6V}j)+<L(6?@BLdv3vwg)|B{hOoRp7A}D)(FwK34l7`4g}uY>Kbv)^KU-@W
zD~TMd*XsU;Dq>oxnM$vR7JSRdiCwUh!km1X9SfmKNZQDd^zYUJ%G=qwNhxXk>TGe^
z$5$E2+S&8Fk7>gS`Q-OQi_+M3y|p%dmkRFE*0}QDHXRTjJ@}r~AcIdwOwM`msiN@n
z@RYYdbYQ2U{{8ZMvM5*|a(Cm6D*DYWw6s6cg{bqKAuEUF@VmK=#RE$cTKRRx@m<n`
zex`qK^VH>$Klb{EV|gTeAt7Qg6Q&QV#H>Bfh&-ya>)FX{dS_zE_Cldx18@)eOXqf7
z0e=c{8(GwmaJSP^)8P<9*z#hsBtcdY1;-vAe0zq31x)u&Fozkz@gmPBuQC;JsXck!
zaZweUgS68k!;B#=TJEt8trG69ac%1)tD>rLO6KU{P5*5PKEY$Igs%5)IcJkq@J`~#
zfe;4*A}h^xqJ5O`-<L;Q!&Wv&QpjuxFTkC{hqnIoQbG^<0qW6YMI1DXPxu@PpsL0A
z!QMa#8Jw2dpD`++d|UjX`5J&f$n->cMiH;Awfz|1FNYr^1;f(+0k|!>^ygnt#8`!x
z%D5~U49aM*`Kf3MoaHrXY)cAw$U7xvTfY=;ZF>A9z}ytlE0=RaZ4~fQ>iznBMM*S>
zq+Nb$Z3;237t{(8<&lp6?hpBOQ4Ak_koM5R6uuYwtTUC%;n97yoVz=>;hW4d=3DBf
z(Cl-`R=z<NU0yqgWiJR|rk=7Kd8;YZp38h(*(!rtN)@lIocK_<_qvZ=HvqZh>$qdL
zH0DYlTP>vHL2<J)lg*C+VshIV?S4t&{inwcy!gwB>37OilMVqyWIc3A8<51tfTG`?
z30u*K&%cQx4&b`#aoe*~0_mP>?7H`O3p%PlZ_3XlAo0(c(?V;TK5w^^;XgNK{B%-c
zBc7FjR|3AeJ1C+kJoAfgM<OFO9Od3(wRvB<Tx?Q}=Y=snR=Br9jR7NLnbN-18^iN+
zT@Lrgh0v;truLE{J?@fW8q1S4hMrRQ#*fDZv5i+qJLM4_4h8L!Uq5dISN1X`WeW-5
z=fN4z=mT^}F)Xe9@XHWZCWixlcJtwoc+|-soAbk*bVaqMhT!sCc>Pi>FMj@$!R3@e
zhZeKW38!-mVBiz4X5f1sOzGTMTjZd}DV__t?pqBYOYFqc-y_`kEMxxNL@7NA1P@14
zozMp#-`S6%O5E6%AMy3UDF*z$*mdRSfF67aE%e}x<3g_fsypfajA*LueBhUp9t<C=
z<~gv&iJWCs<Ht`hVb=wtM!H5_IKgK$o*~1DF>*=6PqLZuW?5YG!JWEbsYj=kdxiu5
zV+<yqPqN@~J+hn3dmZ=_x8|^qi39J)=&)rvuwuovloJ2lIzZ&T`c+iJj`A%Jzv}&9
z!w2jA4*R}pgV=?bSAE&+_>e?ZZ9C46d3R{5_z!3UA*0CQ^NbxW3nir-NSt`%K3{d~
zv=;c~<UHw}V#kJuMU3;YT-bWrmi}v;7OY=%)7!n50|zW_2Me6z#wS_JfrN|}1c`gf
z|LEpG#U&-FjU*oAF7iEcxQ+s9sh<!0yUvM`=eOOe*yLKvwwAk(f+%2@o_6)MHWy|j
z5{&L$d^otH&d^4b0@Q=-6<II1&>`h?9*?vD?m5Ns`|DRt=<6C(-C@OzBC3aGY0nDc
zWsfkkC)YF~?^jQG=NvbtCZ?uaObMa-AhCGTK@;`~owhD`!h>|GD<At#2%}iVr2A({
zO_(y!*Jq05#qscv$#OwatooVY>9<4%)(rkJhX6j5V3aKK`YMJa6LTB_ZDh!HNK9Y!
z;m2j=%Lh#!NnpaL=G5D_WMC@#>SrAxfP!tdO=2G;F=WQL{8$wk_AL6{ewZPM{NZ1c
zy*^2ym{_2W0g|D&fAXhdhY&LTn9JVTCXE-lS+(rHkztw=AlFY4#&w@rm4+D^%(~zo
zw7NiszqRvf$*CfE@Ur$<UmiI;EdBa^vXUkw@-=KJ5fH=eF5%Z#4dl^sKgZ+95KZvX
z-)3i6D2{`^nIrG~6|gw{ls)rDO<>??4D#B{7h##F0a_`FXw5EDaaorF4W(UyybMy<
zCK-NcphgK>Wj>h8yrw|x8uxnRkQ5Rd8T6NXm2rqe*}lSA3oaRjUabBijW=1t`zB^K
zb9JZE_fM?aVE>0RHSMJgs*ccH`ZunMVyE{Od;idekLS`O?>>@6^*heFgC9sJ#A?Cc
z{z3<OMV*6BUy;Lao!;ZN=hRU9u*}?>VqK7>g!6|4$>Z1lo$-&E)G<22Z@Q*J50+v-
z)e`0kDAb+$__32ZuD|JXIr3E>Z1=G~bKateV`I9%-}|fMTemx<_KOBUQ^Bn=_DT``
z-L!(+DC%gZY+XDfX#~ToHb<o#l(5EWL=|7Cq4(tFOCy%XFr(ne<I<>vfu4FV7N$rT
zQ8bpJ9%KSa1$4fya>{tY$INEATNNoOk(AIF0`A18KhAbmM)@mL+V}(&<S1uedT9cX
z-YBG)>#dBlEwKH@q7u3nXLWuq0nk6DFf(VWjJw#>Bic0;(W;^`Gn?HM%vc?d`7SGA
zsA2Gut))D6B-VbGaWw@N@mM+8I3@g1IT=N^lEwYqeBzAPP2pv^b;|uoMI62{eN$+=
zG)~0&9_cPK-K^($o$uzljZ9%h>t>Qz@NI}oh-wO&>(uon7X?fr6%y_FqWIWPW`Ad;
zDNsK*4n+IO<8cw8_b(W?VYFj*->*zlcv0>+67MC46~n^xB}M!g|D~6A=P6S-G`_u~
z+FBO1M|&IU@_A6Nl%#iXyD6M73H2?|kiiqH86qSaE;M{~pZ+F;DKM{VpE$!Ujm1yp
zo?j1S!{XmudJ?YzoWdWy9GjCw<@TfJe_v)st^V+K=^%jFKFW59N(pp-`zI~Kg#nk;
zQf5wU1K>$pWUfsYL-l-#7selHk$B+h>3M0B<A!N7E-50o#Xf3nHf@7C*ZIj)=er5q
zUq5r+plBO*1!R8e$oog_u-}!JBxM4Q7DIX0`vp;<$|r}&SfN_>+*+dxF^0CZj8BmU
z0{GHkT-ML!FO{Re*1oIS2(;DQL=~U&p|}ydX9IPa8Xer|#K>s`Lq&_g?ZAtJv2;w-
z%4O<fpEKIZK8C=h_fBXF9}kvq8MyIO^)Hn#JHYwfD+7qyr=%UY#D$BA4Ik}TR;YU@
zt?UW{2C#7_Mex8fCmKK0IOuP<O8p-I009603|DtN)&Cd1_8!;17uU6}b#aYrbB|dX
z8YmGB6#Zm`k|;!}C`yrrL^2~=<nvYteTxWL**hwuWd8j7yw2;qUgtc|Ip;Z-uFNmo
z2sVUw;bB7>7W}B>QuKj_%606m7hV_NV*no<Pn`5==0&bf2Eoh0o7h0I9_LpufVXV7
zM}%+jpp?V^(~qFzP@Ot1eK=nqP>bQRL^L;|(jRIH+cF`SZoP3UX?@T=`M&<jYc5o=
z{v+>GATxS){DTR{T|LMeEv^a><U)#4q_vDv7F0Oany<~H2d<x*cJ6)3i7vzrf7rpp
zhCaRNzt9m&hk4(E7q6W-QJeV1o%|u}Xoe@!=N~s6WGVIB*G)N5S<sclo;41njw@uT
zO4NnwZ)&=%yE)Olmdp{>6fRUGIOs){)`jO=<mA^^I8n{T=rnsf9<&i+5D`?M15b+N
zo6q!eBKsm-+z6Qu!Ko9gRTerB^JY(wn===RtD5^v6cRwKH&vrF2DD*S{4SYqiwp7J
zQWdkmD~RYP^Z59~wc(liRn{F%-00N(+1b|xcr<_apz||1ZBVh*TvIORL7X|G4_@^P
zA^OWF4~;%+LBk2-Y>DkYFV#ji_LD`BjGEm+^9U_4oj+KMG4Ugv&N#zwmqbx$a`6RK
zLoJXRt*~J~A%L!S<@%ZY6hqFB9+X}AM}u9X>OE{hf+*am$1gQZ0+q$+&kohm;PKE4
zZGk;_#OWQ+?4w9ThSE9B?DuG(!z_~PWGIAk{Csm+W+f3xsx`9VEDfv@!%|+F2qV`$
z)%QX^OC#p>%98^2G#I<sWYus;1hrY^WW=}0AfMDt!@rg^s1Lg)5F9It9<}FqHm{J;
zc*=xMu{jNT-fP->wTmI6@&glT5^^Z<*6+cTy)-x?eL7Z?E`e-}UyWGqkVjWTqXsG7
zG#Ho&Fjjs|Kpr3S6N|4ZpmS%4&sOf!AU?*$>$Hs|;xP*l-}j#)(kI<;ZtUESe-<#C
zwj_l@EBGJQk(AJJOGz&mRV~OZG9P8FCZQvnFD$-ZP)2PVnf<Z%wcxWCLqcQ^87UUe
z!~PBxwAD~+Aw<xIovDibGgh)_v4!$!KurxzKAQ2oSFR0;GSV*RZRAjB|Gv7}P%7$+
z`0M26rvvwv0x}=l$)nw*2TwCA)zN0`V(<YgU8rwrsLXa&Ks7Ox9V>krXrb4ZGmB1#
zuoc^7lhcYQsPR<nyIxH+AQDtnWuXTx2TaxX_*2lVgQ*^mBMmL*o4xMx)(0n7!*r<t
zC1iQQ&D=SShFJfKhU2mgK-c#i*~vp04cSL1cQ?|Is;k!crxios+nZ-dwNgP7FD>^y
z+{Pn3?%N(YWDJ5em~9xhDmvBur}<4P4b?sSrGKEx1nLQ%4vMc;(LfIK+Gn7lXPNA?
zG=don7#`i&udRj-roVv{e@!IyjNYH&!+;MDE^K~@RYMisg`0V78mOMkc7)Rr;BUq8
z+{hv|^!su@wRk5LNhb04%Zvd~)T0!WveeKN&dj*WS{1!%F8mmM%p5*Cx#oZKRzreY
zoks_FmC@avM;2@E%>li>G2XwbiX@La=d%?lqTie}eHQ@>Xxn|Ye$GV|ncJ2oKev!a
zNg3Z%iogQ$dXHHzC#ayWZ#liQyUB<fN4#R-WC6!$XUz@Ml#%<OuvsZi8YxhBxZ51I
z0FOb#B9?e1q_bJ3aqWQw3XDFh#I>DAz@Ubeae{&rTB-w7u8W|}-cngxQ45&icgn@f
zE23`un_4}?f`~|Ms3!NCL&JKhYE+LrvKbz{)a%NFii@H@R41B4)Ty>^)mw7t;c^Sp
zzF{`>EorBPJi{Cc6%Ll+%w&<0HAlkBolHonFV$6I9AM~2^61fd8PrxKf1Aj^hV`hV
z)osQA)K=bEW;rj7{&0Ml+bz0`iS_PU>yQWdkoWj%2SF0W9^U2W8~zJ>mSc=N8NmRj
z1RMSJ?-Hmma#1pwK7;Wm9$U(+Gy~5!<I0p~F=T<?_eCjs9Mia4{n2*86m+le9C+F*
zg38_Px-KV;VExS|2QxKHq1x|<N}Px=noz!079}~1d5A8qKJhhyqt9!4WG>)QfN|tC
z&#oaXv)yj*=VD{%e)?9SnMn`{XgPdTy)}%{XnjL>){G!ybXdFo)b`%|dg*g2=P1^<
zsBj-|YXs@LroI)5@SrG;Ipa>najeVafU3tMLr_xq68(sa3k6Ii-_EI<#9Fjt)1wy*
z;7AqWSD-lu5)Llz`BFE7Z9O|P?QUlPXTrA5tXHrh3j+&51)+It+F-}AAFuS`ywr~y
z%U-PL@sE-0(J#L+vo}2%Y$E#b)iyuacs~m&ja3;lDqp}@X@|6u!}Wl_<_^bzH#5>X
zt;#Z0yo6coq4M3Fr9-^h-wtXq6Y`usAb+y)4`xZF4K%ybfi$<N{YjAtHOX^H#{62r
zR?q1tTYuGst(|*JE9-E`#E;+ei1r#bpzOBv(@qx(df<W8RUA^i^k2w${04R=RlX7X
zqyzOXewdOM4w0)ghgeu}$Z=iGvS_~!yw%7{I`4}^AFJ%h)O}2-+1B2ru3H;s>g<Cv
zlW?fzdu4cR0W-Q$a*?!hQX3krx2{F@;80hy8P{bpE5e1oG&{DS1^w<<PaBvpq3mAS
zBPF?Ph?(PZDaSP}IFWchVRsD^>Kn_N;@QW6+=Zm$xJX)Hb@TY+yGNMOC)Tf%ncH`m
z2k$=={e}jkGk4<kMOaXuO8i#)0yk3B739fqp@D<eC8g3IET}&?J(m2B7d>P-CXm8J
z12-O;YwIX0`e8Vhvs+03or)tS>^!0gxQ86gsjF<rQzU389c}9+?#f&08x0VfTN40K
zK(D{@*XBUIY4JsO*@Tdfak$zeiUxcq4G`z!IFWKAgFDqj7@b+p?Fva#hkx1OIm<lU
z=%MXVzo|hH<PbP$)UCLUfBA9f#cLjv|GI=yeo+iLdeG$8-cX?(CvWT!!G}(;NA5G!
zl|YI<;T9gpsnFH1fB0so0IDdfkWRr9(W2FnYn|d$2u5F~!@dY2Mfnt3m#`F?D#*pT
zjjBP|$;$J3n|QRqak`<}goI{#UnrbxPy?ZaT}A^|!f5bvX@0K_8I@lMn8-wG&=Sz+
z(Um2FB;{L#JFm*31tUKG{omAJ>_<e_IYlv)>DV^s-YJKS)V@@$3Q!>><yBx`ojBr&
zsa_--E1<Ru5o!7Vqk_Ghiq%>e0Wn_lK4mIZL`=PRh5CO|;f~4Eg=2>$(b1#3ekq$N
zA=W}Jx<|S?tY-eXD0V;^Ehx1l7k4S6lMN&e{}>Hes@{3)ink16nh|adxu}ZPJ;K}$
zrE5a{wB3c<tz?uymt_A&rlQU$EhVjR8vM!*(aHZSiy%8LD7Zl#eG9==*X`1Ra+3U}
zoSHl`6E+SKbkjuT-}p2FjI{yxg8o4Jv;ykC&E8h(M??3ybAt1>^&D@kW~-B}h*s@J
zhA1R0M2N9>AHJyzUr1yBE>Ba?GPA|8nPM%JdCB*@+B6+Fk}4xT6_t^bpr+%3qBi=-
z)U!41r4Ol>eJ^S|s-XGwqSwrR+K8>Dbjp{_5WJ367VHX8MK+pr4y$Y0NZ;Odwywem
zCfQEjJ{6#bG7Ou}u6byq?<v0~@18dS`u*jjKlV^j)>q2cL+sk9z*}qYSv@n*@()V(
zTBD*Xts^&dytL5!B)Dxj!+=|Pu|Cql>PY0?(Qh@kXlO@H{YUn900#e~{&-ZPj{c?V
z)r8M#AXXC=2I-PH{KVLb9E#P^Q}*;VIaewwvnb-QAX>nGvSUwp{L~S8BmS0rRRwij
z3gEe)Y5`s&Bj==Ms0ip*cbq~fsPwG7#g7#Wh~DoY8%?1iLl?oZfFtrqYe()Nr>-R&
zJ@6|uUquZCy>QDsXtC|DrfLiB@3Dlu8{war)>P2%zr#6I$wX9=Y4N{VD@zE>#k-%(
zP)2e+b?MhcL{a$DN_-yK5-Rgn_l8lGP*lq35s(l>eT6@XmSYy6YCSup{!9^tsHkdb
zd2^tXQNmimNft2V?Nj!TLjmofdWht|+rq>e@k(=a3*d1Pb58M*L&T6Wx!<abSe4{+
z_Qn6qA*`uJtDuvN@TBWK<L$$k!>H=0k*hi6`@Ci|yhlO_HGKc&?99QEjGFUWrvXlz
zB|g|ll|%=yPd;DYcQR%hQ^kaX0kRUA4>`6-AmOGNwacPo46lz74Igm;Q<=XMo>0UP
zBePGNcyop!z(4u;yc7etLcOPzN`z6@?mtQ7nt8_h$%A&jCT5@`T#Cg9;L*i<Nja9c
ze=*qEcQHquG=+6H>-?4X{OAfn3m3@on{kocB4&8U1YCWyuCjCRpm#pp&B05*7&oH>
z?B2gKh9?8pY>TrwP~_dN8z(RRVq^#KzZKmu0;h9blC(@#<Tw*nE$;P`p~f9rgEKRN
zaV34N;YB7SjPrbAdvT6Y`|siyBgPQA7DYAp%Wq-wt=u-#duAE8R2`LK+6|zlbvoN=
zeicjS?c)+<nr3uf+eM8~G=Tasm2i^DUrh4rjm^*b6Aa()9|uRm^&yrcUrrgfg#Avv
zMb<en#<(4GklmwC4`$7doD0?XjU77?GjdaPgn=)cKZi{9po!n6C+fl+X7-Iq#1uco
zK%O+0>P$Ku!B#~(ji#{~hrkp)dOt(w_9rq)kPhFT$5Kw;8^^@nDn2CL`^H#u82(&w
zMHhTF{{A}dH-bHSnmBgItdqguwF^4Br~@+3N~=}E2Qg2s<D!;&?Ti<BAA`rv=s>Dz
z(Zb|dFE$Ojr{aHoX56v6G^sYB4ZSr*3(IR=nC_j_ehk;bs8+r52k*K4H*JwQ>3JR4
zlLF~d%X<wBH4U><A(L8A^UO}o@Ov9(TNGMLc~Zw1<X(`qJgWuIlV4BDvVX$Vf8Eso
zu2{opsc{}Y{D%hmFK~SXk!CEaock<adl_Rd=gsd=qG)i)Q*c(`V*^%mGD91$T*Qz_
zcT3&C)1bX4Hr-wLJr-cB>GVxLi=nC#<6O5>6SlscxnK1SVYOd9^&4j%GGyNOTDk{n
zK&{$Htg&z{mi<z@_(*UR<9?!RQALJ27&9BwT{Nn()#SmOfwm!-^s-X_gP!gC;`F`l
z-gG5q@zOk;+dK(-_<`eSuLu?7{=N`O*Q~(wqDq+3nx0`(ZKs)B9o4`hF44GVz6|qL
z6ztZOd5HxIDAcc}ssgS)^e0uK48vvUBQ_|&jE+qfC5)>;*D1raskBloE&p`t?dPwt
zyVWdx>$)o7EVy*QEUXmM9bU`6lTnJXlmG1}-B1RVODFVhzbM5n7H{eP_o@P0-y<U2
zIjjU+9Fg-pVr7`_&=-T3t#7c--bx;3h7#~ePCvWZT!u}Zxmsw8uf?jIc(|@VqX5NV
zYWl$2a%@N71k))DVO-TM+m9&){yx9iv--0F8}LHCg^BMla-V6Mg1;hUsn>$Ti7M=-
z*PR@bn0m|_QzNl`SAfeZCRuxhs<ErP@lhLTjo2CSaj#GN6aahMad3+DE%y1&;JW5i
z6V^Nz80+334`+`&UQ;*0up4-Tlpv3f*ybM*mse);;CTO@z1VkzZB*-TjZ1#U)MV5j
z+^?2{`p^?-&FURyB~@4}ajOlx)w<ctWFiL=&5~MOo$s;OpOwMi)Z4MNq2SZ~m@I^D
zMy{A8HDD7(OS<n@J1`&XkS2j0vJgKaK|T@v0V7n1$PN7I#B5xxjjw+pgK|Xf26J9B
z=5@Kaut4b>)--qruX&6NK`w@byL|s)@731!9k|zv@!RhAnjVyas=|s8t>Vv^m5@t+
z91LJFx)CAq95Nu+NHQ32ZNu*L?+Xc#9Kz%U6qHoyBp90t77+An#~k*>*E(Xu7{5KM
z(Q_|pIKEqQe8K1|wm9hg<3YkGR<rL+YhSt)Oq`2U@iFMaOt?O@xh0KbPXCksj)o+`
zL-l9$oX<DRDox|~*|te6Ccvtbp(qI~%q<de-+Qr-|6>HH?w-K}$4cDy_z}TmrL0~k
zX#m^AXI!k}nZs<SaQ;KJ1UOu9cmJ(jL)g><%cmTCzp$iRb9**~3D5yO3+&6oSb`=i
zOAPiK8xM&!DDahlvX-Scx}Qg}KWDq7ZJsY;lC%%{Y^~x@E#Q#j)HjX|oN?~{@69rH
z$Lz6(5?vfP9JD14%1vRG-qS<I0xKAw4r;be7lXI+?uG?9Gnl_!Ji{w%6;sJ;o_irI
z22M}UdzOdHVce6+2Yy`Nz$y&b^k2k@f>Yf2ybrs7VJ7b~$Rsx$QmW=~spS=gYSnAn
z85|2(s`!aPR|+$N<S2=RBoQF2RF3>zTErYlaz|%mSrHdY-Su$=5x7Rt^*B!WgQ<L$
z*>(L8JK|_7c0;wofP3#AD0XQDvv{GJbhm{QnN(Dzc)AON;h)D8X4y4t^lt@OAchB3
z98TptD<TYsgLmaL3vFT(Y)nkA;`!04UvA*n4k73wq+asR$02`VJI^zJ1QFh`=%-kw
z5d64+Key*HGjdH#$Z72qLNXP94%x;ELBy^SZLw%p6!kEMGB+)PvZHNlOrnK=Hu7q(
z=X-V}64{aUPhT8WY1Dpw`B(^QLM*HIT5zFZ0h3yv1_GiM>RCH=3xVeE%j>Qjyy%tT
zY4fpUDKvCA<i3xwF!)}o`}cq#fb_YlQ&&r6P=42hZ1NXjNMbO1s{<Z!M(@#MO_W6q
zotvrNnIce_LhySjD~xPRlj-9D^5|58xy4H)3i!Xi%wlv=l=gh}@bAltsD`Jg`{6df
z3D4H<7+)4gJ|6XtMXQw1CCcm46QTqNdOtr9ha)0YZGVMH8C7(*H8)5%SQ4bKJ!7A)
zl|l|uVV%6MsVMTgire|KB#5hJFd0<KppNCK*r?N*D9wrZyopy9Cco&oE{DpZIwQ+o
zXK5|u-E@|_Xtz8>ZYcZb>&YXUhX0+q+uDflQ6m2aGX-K4J!``G6;a82`AX8J4$8&J
zp;mJhnA({WW3@>^YqX#?_2YDOB?jMbDXI?2YPgn&EoC$rG@R{_p@$UTl~@zr)8KV7
z7w;&i8j4_U33n{jM+wY?80FnMFtjWF>=K_k%GB{F&ki#{)NaReUy>gDvQ2bf-PAz#
zKdzI!#|+R!V%5=XEko!Sq2GGqK|}cTN|TDO2B@r0M$SLL1Tx>USB$7>AycPnza=9B
zw9r*}aITI4|67ha=+&ZyI@St*`|#?cu@aN<wJYXeQ@f$@m9CBWhb>R%+tQKm={@XB
z%$9KY5l_VhPi-Vn?^AvSr-O(d*+B>Ft>9wo@k$?iZ4@-EcDZgh4Q+TBvTUBThClJa
zaBf2jkr~{tDCw$bX7|1xS4A86b9O4(!BY#J`!v5Weog@u{VLrkx^DxXgq+g)1R7$M
z@7U*7Cxv(?I^xci+rZ{xv*kX#CW`1~7TxWMN8%q$OzjhFz;0Z(jlYPBeEW)yRn4zs
zuM)qXF{9bQ`3^4YI#E^h>)5Kc{FiP<2ghA?winh=bi1^X$5{z|_h}*-9%F(pxx68k
z8&;70?!%ABy9#KI*owA3^Md885YYi^D=@i^&%gFX7L}0fe|I)+>z>}&r+&i{{&Y|6
zh~G^@IbE^_HtV9WcFN*x=VuEjWtv`g(Ip_Y@*OM-MiRhzyG3ta(gH%$s*ig5h@i>L
z28GY11km3%xhFi(9H?BGO9uZ0&@)~IZb&8qpW3;^#V&wNl-Hry&Vh`)j?_eONy1aG
z;(2KU5cJ!ZK=i;Nn^1KTeX1nv-LEa>AI*S6gq-Sm`$dc;bNt{Zf+U=sHFtcQXa=P=
z*Sa`6`!TO9Z4t^O5j2kC$1O`tA(}SCm*o73@wijGE-;e_k8M8I{hKfWN&bND-)%FD
zjFi{${BA@bpBoCBQ8j@(+$GZ<q(2P49QO!4X(DuAF<jUmZVZtn$J(AxZ!iih2JmmD
z2*7+9e>kJx2p0cyH6;ZyL%A*M{)h$w*jPs=JlJ6b10H?55|h~=EO0q%rJMkc2Zawy
zy)}eh8bNN{mlIA`+SCVP1d#kfO>i?Y1lPptg8x`~ASGws)_aHm=L_)xRrLlCrtw$i
zod+MhX{<s8L?WDY;P5PSG=MDP?+BX|0f=gkt$pN6gg?||8>XN7K+|BB*#A`!CNs&e
zwEKy`Rg<85HbEcWmf34Ex8i|tpF>sMT@r2(Bcvw`^+62>{S%lFl$==#5M+^p0NjnO
zfLT4T?H1&)$`ytf<{ebMYAGOoI?zmgp$Dx|d2*WxA|OG#e&WkbX`pSOTI<u>b82VR
z^W?lJNag1F{PZV5p7OBShSs*PUTGjWx{ARNe@Sq#j|?<^aBg_crU!zqYc?!9#KG!i
z(nUTqG8`6i!rdF8!-)5DX9KzfOgX%1qqUMDLg;Zjy_pXCubK|%sStoL-&fG!B@1@1
zK1i%r(P6-O_1Tg<5typG6+Upu!IFvrr)wD<96Q2{i4;l5oYY)mc`XNh{*xQ+)pXER
z?%c^llY*<s-c91J@^Fr=J*oQ>9q{b-cVC-JgRrq&rU$PA#I*!}|2|6x|1{nm1I{Ec
z?RTE#eX9UJ1@TW0i0MIU{*jygp)z2@Tbn=cqX<UL=>gaF>cP;uvWvrhGMMVK4nHGM
z;1=QDXjP&f)Z9&+_}@4g1RlBv1|kaF&c)8Njp{);#p=j^mt^5(<j<9JZc5NFSkv!l
zt`9=FJI*-?$-z4-8K!_=N?<2plYcy4ANn{CTGYOjgRf?8-S|LdXuj~7kScEgdHLSW
zAx83GS0Qn9Xha#hT=U%3vJ9XjzA>$%NgfO@PFi}Is6ZHJS=)@ZA!JV13jN-%0L&#O
zHx7lVz{Yzyt3yqOpntoFqoYj$))Hj3)6!I+w#p|o(ZdMl#SgZfvQdOU<%oA#87gq2
zkM*w?n=$NTsE^+(RD_Vz1w%g9RNyvgD8xB?dtNRZ>FwpFfa#pjQmKs!Bo8qAW$ZEm
zGvBtrOa}^#e{Et`8B>P17`fw)(<U%VEOh@KM}edv*Wc%kDT58g`JP{-DU?fo#$SI;
zf$NQFSv%h-K~Q^H^16T-_^;Poj;^CXn#;WiufG(?kUx;Eb=M4jE0!Lo)KH-0PxeAI
zkpfv=Iv3;F7;x1`I9n^70;K%3aT#SrXrP9*EuLn;tOn!lgg*tOLSI@tDJlS)iu0BC
z6%4pfXz602QlNICr=dVx9!9JUy2ch6aIaQnM_Gp=ES-!0hq1~*m6BWSBp-n8Zlv_o
zTM_nN@7c}2K!#-!SN(f&fG<2p%u9bNKq1MDH>_C(See-NG;ia=9&-MAUJ76x<F3*9
zP8u$)tXKx}13a(p|C`h)58gMr%Gth2f&ylXb*wOeRX%>F%QnANJB|x@3lL%VzvQEH
z^$gI;D@i6klmnBBl+2d160qxv@uA;Q3{Z}WJ%4CP7BuKQf&PEQAbUf{zF3z5Ww=GN
zAUjz|p0ArT$P)$m{Gtffelz%QNVl&bhYT0Y*&j8=iGZ8=ec4x`X5gZ5p2*2b1|d1g
z=8{xlP|U6oKPqGf<l~L&DP1JUe)ZC^dE1{UD%qQ-W^VJv-|o+wD-9K2<$`tfgrGDi
z*0fdI6v`wV+F9bIK<NIv@Jb91g7Zo&#<eEkH~PaOEm9I5^G!GPp2frHL(+@CJ50b=
z>xOCk4I=oI{K@4o!-JcLde&N-G1zwgjuy!x0IfRPv`8Hf7o8;bNjn=uKQTQ`=G%7t
zTVCcTjPMXwaps=bm=Wwwsw3EvC19mbuDIg_9xNP^)Nc40fgAbN%;aTpXy!2N|C^47
zK+e;d%o~QFac}1p$t5wEI`7-Mwt@#87&gSk8-j;TB2V`fF}N_e&S~c<1W#7Jdo0Kp
zLfJ(A$gHdww9E%cJ{cDRJLl(uP;LMT=|}Q~dPU*7^GRH1h%g*wk2!C<-vG|H=ABr4
zx$XO&3Opy0L?Dq%A@j_<J`7wJ=Azyb1&v#syp3N)AS^GlWMg}82N3dg4qX+6OzMqC
zE{{b)(|Wr0sDVB-t?sbmNf3p;hg*lEgT!F^mdS(BF+I=`qQy-Xi9-5!n_@Osad>&)
zmig}odeC^jc30fED2NaIcv9)O-49-l1JibTaH7Eb@iTQXz<CRZMz|3`{JQp*F5h<i
z$d>z;STXpwdveL_0ueeMvdUYv(;-DdORsHPPmB|4GM~~UA;Oz`F8(PUT=vH8IdDN7
z{Mz?@nC+GV-Ve5?63@{g=(>6oC$|Jh{;O{{kRgH0Rbob`9UVr0t{-{vN&?(%3Jqj~
zWx%R_Z}PMb9S*(Y;QQ=BfP-0gsNOzg_;7GA&|QuWm+UIj2vi~**gB(jUqKeU$h!gt
ziF62elHcNFl?0S!`N@7n7JAj2#x|ts06W*HTeI7`8azIcmnjDiBfo?mr*7x@AG%>M
zDg`FWIVauE$iox4A>S+;I%s}kIM+={Lwv52*k3ILxZ63Ca{4SC{to~E|Njh^cRUqd
z7{=|r_qf)*+<WbHjceV9kdd8AM)Xq|8PTFrl%1>+Nm3*uBuN=9Nh%qo$cToDmQqCg
z?!V{re$F|c^S<YKzK_`_v6k>9Mclfb7M8!LiqVh9wROsjAhsvt%#?sKW?_;mbXyJk
zCq-nUri^gfZ^W6aOc`ya?9%TKlQ9|RJ$*#q7!{k72@-S_l<kV@qthuU6WJe>d%_qN
zlPkl$gDR-j*lsm4O~IxMnSY8FjWK!Y!PtW+B5q%Nm*bE|#r}}fNnSA~IBdB+&5NIe
zjdwKto=B;qQ<E^OzF-2ArZdk=%1Pk27=4wIt&UUvdoJi@m}0;!DyxXDik7Mp>B_I_
z_*s%PFGHbY?zmT_NVh72?SiL6^)xW|uDeq6DIE**RHa%MHRPK{u8a22K!^GnskQND
zxPJF$4r{j>x;&-*#$7dl<tt8aHO;Xl<3nUQjf{jXedhUO4SXFt{f{tVjur>gNV8lr
zIFqCKH@{SeuO^R5ca8<<e`;LvUXw98BtIn<q>kgq-nXY)TH?N@>w{KN3i#5izxH-g
z5w#>qT9~v%{rwk$N(L0jzF7`=%|V6WbZzYIcq@45S|HDy0%r#e{}xpWa=w%dKjdH_
zj`c`am^KA2zK4ANQpxD?rzmYc#K0P*Q)|<?DR`Th5Go_BhR#&4O^hi93Z{=t1oV)>
z;dGa(F;7B&*|gWJ3=p`L!9BB=jO?%WHN}sJP~?m{Twnx9{S`8A6e1&?UPc^0qk@F<
z=HKS+frzd;nYw&6ME;ufAVeu+7hD<*TmZ#RA8S({H4M(`D$Si%gy6TutTqRLC5v+P
zN2Drzf7Q;m>?DBjR%6b}40w}0AAY%qgy%~SYs!P=;Fj(-nMVY&r?oa%Dw6QT_t2$Z
z$ubZfS2t~712$v~y~x~2gsnj6S&<h~P;%AQVccNglh5aa>swUNud|R}zFrdV%A+5?
z_G2K~^JK0jhYB{GudVOnlz`A*e^%QCE9lI*kA{0HqowXf^|p^<C>|VU3(K@ZWKl)3
zuagqm6hgHqOQMk3%2q2YV}(F(^5C&$1=#LqvlFrq1!+DbWUkZ_i3O^6f;$LEcIxU&
zy)1$!!JZF-RV_iCbBjyJlgD)jt*<qfB6v9DH{W>40*(r&*`CGAp{$7i@9=kFtckrE
z`;%gUS9^F|UhS8~l|2mS12w|v3mxN-tTIP%iC}bHmJDiIK6v<52t&z(^}t&VbL>l2
z;o`a_4X;yavFyXbxbsl)zCfKBHY}#Rwpo!v==#QYZOS6paj5T|nxPpQzb`naY?gxL
z{1ineLImeVYg_AY(b4MT__D2661&Ww5B+#10`{&MM|nFsCe!@SRBx8V*dsf)n6;u<
zqwQ4ibifo{F8p!7|4G2Iw<2iUfGCW#MI}hVrr_TGWz4We0_7UvmmfxnVZVRu*_cHW
zXvp8=o=KBH;fH-&hZMzOl_A3^l5c`71xp`Gqa=_Kcb363A&%*t1wpR*CNNB>xb!ky
z0`q_V?c{8b0Ehq4e~HhH;e2#|H{p;3I@WNDmF7x9awSNf?T|69?XJ{jyC?xGw|m}Q
zN2O30<D8_SX^hlj&tcUu=6#4yz9pqd!@J35(r>~Dy&)!*TAGp&o^Uq#R3w9*?N$72
zXN(YZylVdOaY-zuo1PNxkVT;AUZG51W<5$=I#{JZ<hX0Z{!<QzS+ZnfRGIbB^8#Jz
zQYgC3^{myDfUfIb49(|h*xUM4tV&fHA(i}|LfHx+SJP{E_tNnAMp~%WfHd4&G6T-d
zE8;}dcKsU-G(0FfHZ7DVgQ@OKI@3nVI6$|Et2j%;9)f5GTd*vw-%iSGTu{bbXp`4W
z9t|3&9KThpmBW*Q!|uE9s=#2Xmfhkc4F>(?m2npGQ1xBz-k3u~Sv0-gt&9dQUAH5z
ztO*c*BR@3w9|^>w-%S&@Xqb%ZZJXJk0P*lYE1_npI3440wQQ1xVj2GG(s)I<-PHHD
z7E^<nT>y)<lo7VZpV@M{MhTCnDAtOf)bQ(SS<VI@BLuWNkwkVYBO!IGfL|LKr%cml
z0&0vfs#UQlCar?&FN1b|PNN{0{xG&qz!=?@*HiP`RnQsD;_2p0ML}K#TQIYa>gxqb
zQrn4m((FX6U!}rXf!%KNKVv*hd7v>VM8e^|=5wQE>X?0%pCEJG1RVR1Ixb%)fh+O$
z;4W<qbje()zE3rUYkTAc10Pl7%jA8TE78EunD=&~%(;E1Q(YkQTNND#$x=&SH85@R
ze1l~Q9Xzl6Z%AgS;Y_PVYz#pY_K&t4;#^~fj7fFdSTQnq?S*+C6E!ijaqD0;r#Y53
z`rAewC!;uApbx7WsOwJDT<$T);2Dg1&6B~i<>3eE1`YUq(XR{5wt(r;=PS8R6tK??
zwhz!WAZ+XYN5#z&<5!<cj;B-bqo35`b3z@%RV6JZTvn)KPrtkFDh25)yf#9&sffOO
zsrqSy6?zRu5+ZIhb^qkuxy~L6u1cSawR2{mQYq+D;57;?gn0+bo5`pjVA~Qgz<|@K
zsf3TmDR@SmWBroG^s#-}jOQvqy^OqV<T~d5A&*=u98{4s?Q=H8m8t*7CjMjpNrwMM
zosalOgcRN3LTe<DLo~kQokRwuqSV5oP6d~b&cC)x0x12b+)9?!pvSOqxV=>w3?YHK
zjp;yAxYfI)U^Q?vNVFmwMa;G*7Vkd>^eOE<#@4QibMiWFTody67`;Yo?{4O~+u~cC
zc~ud=^IP=nMOmCvdgt!B87O&jSM|a=629!0zHCw`jfJXBDolAm^MQT)kwL^*N~mq=
z9ZA&L|14N500^z$Xvuh>f|=3!=_g7OQ1_bpQFxsJnbyB4M_5!)Imwb#+$@H-U$l3<
zTFXF!7-jCfl`<;6M;8Pi6Gh;s0Nx}0R+#aAH}INW2?n0tQeLSdV2hVs$X;&+x!<gr
zcMBEJ;D59zG)@>_pKY`68?Z#Mq94P8LBIo_(32T9LYOHkGk)e`i9KdbGCvmO@YHtQ
z`thxTFxbs0^R~+Z6=7zBGd;3^Z2ne`K>_^cT8PwPSYWQ(Y_9g2477<}Vr`iMAiSg}
zSKKhiH`is7*>!2O&W0ROO%cGo9fIW&`sOgE{=2N(Ck4mKf<vEL1+dwwFq~X#25k|J
zXZ;*fm^}SvZ6HMuS|=V%hpL;wI5+pPf|n$?4HYC#-xtK;m)EJAs_1~9(ca-(60lQU
z&)9ri2)j?I*!XDC;nk>{Q)VuKtH+*Q(N7SDN4Z;dccUrH9xR6aelCt3)T0(!&LXHI
zg|04Gn8L6`@wI)5II?bNdT#n80^O@SZA>1Uz$KnPZqZd7|5z3zM+!ypr%I>zslN$I
zZ&)yP>xhH1l-JO}M+^~%zu)AXH-_Vh%o3uiIHdb)bqN~cXyl-L*2p!6d26gfyskLP
zW!#;U`6W<!?%{N%fiX@jOkVrvCXQ_bARcA<QsvR`<b%UTcz4p}H6vLZ3CFS|omiyM
z!X~S;F~tZk=4e@Od&MDNro5FTA&rxlnjI79M&MeK*FLKy0SoWUdt2!;I2fvs>i?65
z!xw#aX`PdRYxVUo-)LDRa%|-bZ=zvQtJN)-BnhR+YSQ|fa`@Olj-wu;fp)6mi$a?u
z0uPuu#7hvc<7n(K$(4pW$+cPZ5avAs-v$jPDj-BNM}L7rgWm$z&O(YbTt9A6*Jf2h
zhG|Bh3qK7x4YVYwztV8XD;ni=RK{8T2&It)L+rayA$oK|2HaitpL=9gz^3$MAmE1~
z>c?GvoPH^b-%C*!7;`G%y1T{s^1LC^3g=S4P0C^2%eLG5`-!+)+cuNIMMK;d`CW_u
z<Pm#@{V2Ve1WxIAl?hcE=0{!(ebG<=@9kl=>2s=(rSrW$;KB3-AIgQ>I}|bOA6s)U
zT@A<Y$dh!lXgKxZO{d^BC5YT|`Fc2(j2K#IS<@>T98A`6W+W?Pdv}w>q7Mbdh7Sj-
zXhu*BapmhZR)KtZ;`<0X6}=PBKObi13yJOWjelmCev$I;_LQJHn%gsug)14uCs(I;
z+eISME7W!04yZGAB=3Z0oiS8mKGL*(Nf69bRy=uB1HRLLEN;4(fKP30fV8M84v5Gl
z_RDE9b>)yr{jv$7quF!I@2NtZDBQLwUlZiKD-9htP4Vv%dx}_u8gk61WmrCHBI4o9
z!HFa~lE%FpLj=i)C=jCk71u&*Pjz~<w;9+2JV#T{lW|`}aW9d%eoHt*(M-o222w5!
zb|ebuhVE4^Q<_*+BCN*qTEKYk=|jnR6y*Q(e02J-CbZk0-e!Gk0fQ67b-ptc<a%)4
zzVulGeeO{qp3Ro<*-`UEN0SP|$#b^Dsv0n)6K01Jtni2YDskM63IVA-qMP;AA;jkG
zAZ^M(ahpNk#6~LEQZMz2N>X8$ta$3z7z2F&3KurnP!VqZk$3M98Gp;zE=L;!>>E<n
z8wgV&!Ws9{<d7O1ri%{q>;k^HEx#u){Y93<Vn57$Kl>L?c%PO4D>Z!^v%Dx!ex%|+
zD<R@sppEOAHX!aqLPt$68KD#WnX42PByFsA3w;8p^3e0?hGfh&KL2xTw-V-JE6Qto
z0k_A4p3%qDu)Xo4)oL>VhWAvJNA3gGnQHB?AE?5;L$vD=Q4VhsoJM%A0OSKJuMCz*
z5TdoQh2NFNmp`X9j%G6V&osMeKqWza+fwS@B1!Zm%rDjl0@R4m&V%km%-oCm^tMhM
zZQTk!E84(0mCo-6_Nn08nH7=s>|%JoexH5SCkD2*t{rqeuMB6C_UVWM5u`Le$>)w>
zVD|><w%B4N=u=O8%6uY(-X-qJLm!#^-~DRLf<qAwmevkg69RB~bI46AzzT%+_3FP8
z2(Vu_qe%+j#~0R}+_TRtk$ZiDuUAMO;)Q$2)eJsJJ@%_|Wmtk9eQ%vzvn;0S>Hg#c
zyvPj<+*^Ld0)n^Sh->bXL5Ggx(lu^ge6EsGWG7faEI;1mmZvn9p0<0v9_0aj-R4^^
zndbNr{;<5(Q3~1C9|s=K@xUmG{kO%k8A5s3@3{F%qPl7PQlbqnBGTUuZI3cTNvGNK
zq6`VVRnRmZdBBUp>wAao-qX=7H2lGWsps!^kFF`+$A=(~&&G@ZIy#=8a&IvehxnOu
zI?-PIunXC|?(&E!uKm-u54j<RG_!84H{Jq}H&f7gyxA19(zWjSZesA`{4>NjC<whv
zO@}^@o8a!ri#PYMh~dPkj-Jv^A^bN{e$IA>30D5hu{l2yMfch9kx?lT6c9&uNc}R#
zpV#*@y{klV*6z-x$k)u=<iHzQl5C9GO4iJGrJ~?*{cvZtUKBwk8(8EB#vn$9q;0Ad
z#pt&ihxeUip6_h)rSFCj?s()MAoq%5-SERLzUks<=rU6gWb$frGMa`t#IQZ*#|%%l
z1gQ22S}H6?xR|L^CE+dx)rOmGe3vA_E_eE7$Q2q~7uh>=>ct>zeC^OuuM`e6lr1_2
z(U9cDMOPq+<9^+LVF&nRaJ9pb+k`+vQ<}?<v(@4-`>^JZs*fys?h0Dej~k**@O?77
zy#(TXCA^Nb%HfP=LNuxjA<3d+<1sIR09pGT^ZEpANOX`)J7|dTS7gG87D<?PH7>Wd
zDd6CmHc^_7Ar9=`mT^B@3YXMouRQWqf}gGVT6P#>q)}0BK3*CeHAZy-smwgiR+{@j
z-w?v{?&Z?)GT0@b`uD#u6-ck%6Y<qG#Lii1R_-iW#FcI^cicdPr{kIfjdVkJ_B9jY
zugT#r@4sszP9z*VIHTR=VF-#!o8SDbJW`%^EBe~1LTKh<>FNE3STKLNq199Y9zj+8
z8`r2o+GFY!wcZf=@~;+JPbs2eo3_k#TQa%=n=)d58^SPD!q}Qs8BJL{Q@M5&aQTIW
z_`A_y*|3F>+o24j-1BZROx=1u)_t&wnN##0>@>?uRAKf{Qig7#j+P$BfDfid*b?R>
z-s(Vv%eyE&s*(ndN63f!^e}zopklq27zsfQ?K@|FX@HoOQ#2iEjE<h1xGS$oXt=a#
zw!TplW9*y0EUTH|3eh&V@`5V5I#S1+JhhM+dWf<6s|k7vT<>WzIri+-Ti;zzwXnZ+
zzCN+b6rU{Ow*DoM@h|n=9acqcH1qc~T&Q94l7O;I{v$HzT?fkjth6!2c5$WPj2UFU
zxa+OkPJ!=Lg3=>(ZI}v_jBLv`hl^ut+OBUDNVC4086DNa-F$z?m}Co39AwSIf~fGU
ze(N>vt%X4A<nhvdmbl)hW%;&+iYK&kR*6%ZaDNqjJvGn@8_H_6mglHYQ~pu?`>X~^
z4#bVzGGm}%(@cE~(?{*E*2S8|sH62pb$kj7P;+)|a5tAaWUm#ASIbjz?By_P^hV&H
z|KG4J<5bjWF|G}kk+I<0w}*BfIG>#8opF*1jc7iJ6GCdJ<SRK6GYstKo{Y@WVEVUm
zRQA@LB)n7#()DMvhKIxFKRFjDpk=?@HOu7j4r=ktZ8>Y$J1w0}UL|8~d5H@{O&OEk
z;eo%2)<_j4Pyb`i$L5&fk%wdj<ZT=g7?HO|#EMZ2%RV(obv}3esw)TeV=v<_b6I26
zL0RQxkt+U9oZ@=3OB#<gN6x>02gFDC1WjBeA#Pd8Lyq~MsxqFeTDAa!E{@Xy_ldYC
znw!_%A%>8C4umuFOXUSEpDhC_5G#)Cm+lwAU-yD21v|iYGT0?=N*Ox-T}L);6oONa
zd;cd^VATH_`@yeDVC-05>{`f=ZL5iW3A-6+x%&BjFj)~vWcl#`e_nW16z#t|ZiW22
z@7pqV5s?1hhK#YZ+#oehOx(A%0`06wR`sA9rkqX$v9IHTk)yWe`pcFOXZ;#d>Lv?P
zqQ}pRTR3s0hZOaN&l1`iOWymYnfxysf4B7s2ev)^?Rq!D0*?i|T{F*0Va7?l=2aR8
zXt&Io?)97F0p$#eq9pNr+#5j|9H{dY&S@|)N0r(Y+wnjN80fwzy3@@81vaOjO6SdR
zhwSuDH(DJ0n?<7!T5zICS579G-wcaMM^B5Fh(Yns;oD{toM3y?rf(ikhurR_mB9~8
z9WInFXszKwVX56}#;hq$@EaH8uM>s&-=LwM5^lJZikmiUHAVD4@}S>S5p>Kw`li*$
zgEXz;-(#aDSo`$GP2CU?s9ZQckoJKW-mh1jZG4&QVcFt>1QASf*>t+o`BB{AM&TVd
z#*LRlKUba!!#=**sHRE)KIi>f0=5~$xOVS|ZGkZI4clG)OoT9S(tX#iA4Ujs8wzzx
z7e>qhqwIz$VKfeiJcvy)!m9R#gyu?N1Zf>}rwxf9Fyi;E5*Z^j{%H<z{w|C+pNEtO
zdqgotN(|Rwa{jSH$36(^i=epR;_B=(=KM5@?TPTFA&TZ@M^6yJm!E5|Zu%e&1NpPD
zwabPW{dFTed_n}2jHV-O!jc%%T$AKbZ3rti;_GAUMdA2<;>(ni6udX-^wb0xLbrL(
z=ObgHAnb{{^y`c?&V=SExXBs9IA7yKOuQJ>H#BZlXOYFh$RkCqV+J5)&aO|=6h{rW
zxrzS)ITSKt)*P=gz`}KVrw`x7F|vEx+qHrO1TXdHL?syD!OEt}i5>}r{Kon4W(8RJ
zt?!`v8z3pFQ@Qb`B({8e`IBXz60Wxw59HVzVD(n$aB;g7BnjU#qAHc~`N5prX>$V%
zXzBYs9+JkR{wUjqb1DeudOrzE1GH6A+PyesF~YMrTy~y_)i!IP%j*nqX5{o0MMpVs
zyjgy*rj~@d#7*`KVFn1-f8sM*CJ(L0rvr(1RGD)dqa0RbfP%)s<?liY;4Ahuw;54`
z=nJD^^I-$XL?1Q_%vOZ>k}ZXQfebPKhLua2hA?sNvw1C|49ik(2bvTW`JIA^1G$DE
zbk623Oe$koOj7Tfo;m`)Pu1TMprO;eVY2b23Ir<UYZ`1c@aDzrm}v<O?)1(y?*bx@
ziyu!-vDd_6c6UeZ8Y7Sn%#-i!A)%J-v_+4R7T#SJke6dIhIc5ZQK+{nehiBp58>6u
z>XtEs&;7<A$^Uq7Z=i;P{Hx0^ZffI&XR~ns4HJ-p1H?Y?knw9KlVu}A2eZ^Eu7-M3
z;NJY_uoq-Vo+vE{%+rBg@uhQzo9X!5bLi)#d<wz@s^x`ibwFQitg-7hgS$$oxe0>`
zoBeUWYEyI|Lhwr^yfKH}GvA5YK`Kf(R?V#xb+Fldal6}s1=e5OT-LEp9iC(V9cA04
zjTE<$?^%3SNDp9}J90@K;-9?bULR)Wm)<vq#v%-?O1xQreoP(RQ-qLXuA0cbOt;#^
z)IFovz>kIB)DcSX4nFx-9a2jvA)h0F5S1+N_ao}qOsKLnaiF63a!(57F%a-}*Bzx&
zb)47z-cp-NhRCnX_P<irP%jP66|q!DXAal<ygF5w57+EwcelnTou*%xo2gI_ml754
zA!3g0+=lW!*0@Qr4EiKQMb9&X{e08PxOOvQnkCH|`?BNSG&@q@Se1D&o2ZDQoJQ7}
zRBLQGGv9GBoDBPCe6Ob}<Y4Bw_tE{m);Li>+;KHd4Ofj8_11()BdR!%*L#CC{3>sF
ziN>iSr0QmP>>dd?-)*+NOtr?5yEdCYN0MMF8kaQqTokwYRy5vx10q6GoydViWRw5s
z9}yQu=rHY-bRE!@?c(j^!Tb;H4;DPA{P^=Rvd3{75FMDO?rX0MHTQ<0)G2PflFsC3
zNCSHc?@SdYD`M=LSZ}&1C;mGjFvFk8!1r@aBfs(p5KV5^Ws*P4a@2Cir>qdUYwM$p
zH|3yXGAtOC%nB_=!m^U76-GQZ4AGWlAYYO5);*8~94Fo#KYrX2{C%?0EB?~Z7|&o2
zvR-8<xU-%;GHC%twE^QbZzS=7qgo*?W`&XZ^KT5dsRgR@9_0@lmB11$(5uaSg<*O4
zBH?q6Im~(+i$@&95ynH;TARAU;M&<F-9BrExb;&{cy+~aEbMs8TANjdgFsW@tg{)@
z&$-vt8j0d%+501YIxM*LZutCzIy(4UWFxzLMZjUl=6&TI6F^FN(~n5f5#3NRyb;3C
z(Y2Jn-@%G(Qg4#o5mW34>)cCW7s4%N{_KM-Y*3LLnKSrif+_!Cy2n2O$Q@XH`lOc~
z>NXCpL0e5g<i8cItt9}Ol8|l5DhFb0xNJTQ8{^!2mET%f{P0p(O>1!ELdK@2YA?Nw
z;c@MV=4S<dXx|GHOReQbZIbG&(~uDyhl9qAM)~ma(GNp=Dlev9pKbB=HG<rS3w6p}
ze9%!`Q&`r{2QlA9OX_<XCiX|AvySkA_^X2WFhT$;yFV^JkEMZo-~AhLQv4uEKUrR9
zCIk^L)`To>8om_~XZObQL&WLS%^Wci@JAlaN<ME0BZX_13^@g0=3OgpB_j&i#lI*1
zS{Y)O0H=X*vj8q6rgDTZ-+Slq+F9CL1B@m0Z*$EO#0{+@Edf5_*ix2rIX%k&!-4Z_
z^D=}m#g*Nkcv=D~E(3CYR!n^!xp%^+P8ct~dd8a0NMidexnJqGKDG={7K;yx;Mj{W
z)sNoNpg3+jv-!F{xbB#UEiwD(d+P%0=T|bY@n+OtI;f9_r6z@)%=|og`gX&iJ#t{l
z7Wmq<j#=NV|NH0%G2}f&%uOu<Bpae7+{pUyx~9neY+M|~MTv^Ns|r~EZ{JHFK7Gvp
zdZ=slMFQ>T1bNJuJf)*NUpus@hnl0+x3-E&A<(MvXy&pqQc5>)zn|AbZ`lo{R#$0w
zZo1prB}~MS>woq4R`n1m*fUywK?b_4#ua*cB(U&1J?)XvhpirKva^sJ@}FA>H~XnV
z&vj5D)<z#CxhX9tbLCO2`r%kpz8YTF@`c(b=tJPUeIJjO0)kT&r^g1ETwnQ0d-SP3
zNLr01Eu)Iq{pilPoHP|T#?S9~Y+wMRtIDH79?BpnsPaVmspFS1-~GZm11wc87_3^T
zz^(qzrI8X1eB-4xpR+N9PlcRGxgHUUYco1MUuZ&)_*n1TH$$|pYuvi1PQnL0!<$!^
zv>;p1F{pEc20M#lyJ)g1eAcwcKH|}VbIs<1VTDF0touFxo~Q;`b|$C%)WO+X_Hv){
zjPcHtCFh(x87tI#2TdDwae3n*+kfRIxXu_4aulH8a+>Sr0}6Uz)o`wP{n!)@TQhcu
ze5ZgcgJfwNJ<v}LiyvY)!+y5Hjo0r|@jn0n0RR6Cmv<nReH4c6y?119Uaw8&b7<I#
z5G7G0k)}#YOCr)|XJxO-$fkIHMr7}-WQDA3*}nci|DAKL`?}Sg?5}6*E5PAC&EW78
zT98a-6jtdY4cU*!r(5_GfXC<J&Daoah}t_+@sURcW^?0B8=~YvK);Sa-J=619hW|s
zgv&t3I2rX|G7%nDep-oV!ocvev%=pg8DR6EW(qtf2P;-*HI{e*exBb6Uu2dAVz;{C
zohDf@w-Ds$Oaf?8i)>1wmxT*rf=U~k(ojrug4d8!4}2>89}f1*!1k8JtFSdm(EH30
z;NYbP@2**gEZviVC!WZHsZ|`_P8`Tk;CfKtA>oA2N(0K<)HDkhg`WI4FS%tsIMHld
z9;PA<7kaPL@YxE3%e7-~`snrH!HN`N#ZC&ALuH<`+X#S!m?Qrxvp#IDaGtSql!P}l
zSIL-_dBN>Hd9>z%9;C%xH~M8J0aLvP=ltxsfV=TV{?3pdWY*aVZ%K&*Ny6n6G{y$Q
zrQudTvh-j+=Mc%?zoOv(&E&c8TV`k)a%)Ywq6bcjmtHR+5ja(>vlp#P2bZ6}_(Ub3
z2QDY;y1fF0p>J|i+_9Jv@(1eEUN-|6y>K7!v=IWza;DpjtEBLett|G=ZGfRX^Fjt&
z0qBvsO~%;2hn>={ewfA$5NC5&_c-5SsQPR<A;P<by*vGY*6}t5gFM#vx_1si)UB&c
zApz?cgcM)PFV=<7y1gUud)!dt>uhs=Zv_kLDm#$g)BzL3ds0u73%Zl{?K@5{W0!@l
zeZ{nOpfp+iyNM?U*oVjYXS*$7wbYKr`_HstP4VHN?Fbv39{9SxF1Unw{yse{)T#wf
z6gth0-(`hsAytld&n;m_Buw67eE;sv{i^L5B^G$io_M8_Vi|MRmS{e6O%r5{yTTj9
zn802%`8qGn3U;O~S^syf1|%f-u>X{100k18jf>W+*jna}-MoMXIHYQP2)jWCo??9$
zvqsjiz~w9V+<lM0e!@nN={gO3Nj&E9D}Dp>Xe4R9G_DQ?>?18sMbuzK*?%GR#U|Ei
zTb0~qtPZVL6%&--Q-P(38t12oZEUu;>tbrD8uSEfUNY*Ygu>>*xaRs@3|*6GACOW5
z^#txZCjuo{WSN{j&wGH$ygK>B{hcZ_xDy{gDWHJ*nzX{i1`<G&&#0_<RDphHa{KQ^
z3UFxQ71U=Z11`^16cwcc1J>U|uWM02%dI<@_)T))kT42UJ){C;TCC>N8WceH+Wk%Q
zI0cAq^ap4qDTA3ceP+2m1%y%|A-=0raO-?ZaG9(!&>j=3ic6t@_@#mAQ?xYT@Ht(m
z_OlWgxn1>*r=x_?+xM?*)X+kzgSo!<DJ3ZSPwS6J1SRk<S?CPJ&_nlp>2=asMOcjZ
zHb19J1*B~2^W>q7a98*8kDvfWP;_U1Momu*DqMSaN<T0|wTb!AX@VkD`&{bn-J}M?
zHl8~L8~^qx|DRuSuL77@EjE+W(n4;5ziKyu4W^u`;+y>xAUT5#d#Oza0sEm&d=J=x
zE(FzRXexkvfM!N)1U)djFBse&<$&?7<@VNjd8ne`-z{Zh1jhURObt$4aDD%$<hR@M
zptPy*UsxFv2%M)j+B@I|lkD$fC3Ny|PmeK|`WOowxBKEZ`{fXfGmj`r780RPRsCav
z9xKqt|5$=pKCrj;7oGAX0-j+JC1}G2_+YB6PYgdu{bBxh9Yn~tYbnos#twQzw1U;2
z1)=ayWZr@l5%gdEwKDz20kNA?qvIsPFfMOeV@4ptbmQ_6n-mw+35^|ZQx$=qF|JFh
zW<*G6{INEY!VO}rGu8SJMWHyr{S4Eaf4p3D3c93m2%Mz{UY+R{gVZptil}uW+<(q;
zo@AaEzPS69+|`f(hs}klVLy40d%ko#x8g8_&Tdnxe3XQ*=c)|e3Ms&Y!g!Vbw151v
z9GVrBk_OT>Lp$GS1@Kty-hXQ)1U#vScHd^n0FQ)(%4umui17=!Rew<!Le2~YB}x*&
z<*VgY@qR@pb==&t^bvtkwTgxO1Uc~TIE$60E5WHnM#b$oQJ7gu5hx&)hmHP)Z^q%u
z&~I_vsj^xO$|)k-yu}nCXaKw~C98mEBgOfS-{P>{aeMA#p#m75sBnASt_nQ~ddEW;
zBw@kJac)pj5h(ddty=lift7wG<bk9Vd>rlhBl|!RuCj9)PCq*WMWwNmmdes_YmrxU
zDOC~9g=U^hIM9IEtR5aUX&LyW+q5c{s0gax7yb;t(gN3K+8yJhvS8n`rq1N52tBjX
z!Hs-6@Wa|sh^a&t%7-?rx;GVIV7Mr4FH;xts<m9&bO~^StaO^zN&ytfsV^|H0kA9g
z-D8U)z-0B;2&oMsTr0_yfEoa4`R<d4N(t~Cyw>hd5kLYvBFS|@5AOY72^@MyfVPEB
zo~-~G@JabI(lMb2Z=&eMY)uKUx!f%9dsz}L((q;unCini)90cxBnu6{GK^J@h{IEX
z*g~4O`cV1$Y3+#v8K~gdF^{+{0!boD|JBs#L)dhxjxwVR{El@^#JmLIRr1BW-`)B^
z!`0QGzAOd3zi?7}eO_?zsJ)%i@NfQA&XPc(B>bg`A35jA3I0m|)zYQv!&oqXl>Rvh
zxJDe76=Y$Bjz@lvI^Fc4rO!x|c|{Bk=sBWCuhPNVDT$B~L4CL=o}(B2SQL1FQh3KS
zki(n6x}P+SdeEZu$N-}kfw$|P@|3Q-m_WDOjjn&WChftc{X9+xS{m*4iTbNp57!vc
zoJ<c`g5o7|+y!9h2G=U(pJ~iCl=ddwTlmM7G8dIfK48u*y&7mbfbCu<Zm|#m4o}b@
z7$_YA+vh^nn&j13$gv2kvBwxp?|iFFZ|4G@4wG*4x%c>X$g_diY+cyP*V?su%K@vL
zcibX$>TwHs!xNL=b)e+h-0b9QHlPTpdna?yhIb|PC^ysSKwCe1bU{7~C^S+%r<Cf%
zNpGj+&12e7*IuxxNx}qv=id17yzjtUo^0*JJ=6kb|Nh^R>vYhsxhLaG-inVN9$8qc
z(u4?|Pdr&VG=OgtgT)B-_$BjNfki4!kQ^Mb{`D^}hWu}OJ)f_@4PHtHyIX0%)ruS;
zgF<phE04E54{>-*<&2wd<`MY)YEC8WJ1JZ}@uu$9nOyAngPldy19ga`UYqneLIOvw
zaAs?$)MBp!4Tc2l)gjb2<85Z<9(J7X%2i{Hc5IH<UALi94NQ`A6SWO?FtPFBJE>K@
zn9vbcVG=PlSfa7!vN*AYy|_I-n7TTIam%=$dKaP!hfQ8~$;SW1NGhIv$lx8r?(V&M
z|6orAdRC@xbixMK=H|vEr1uLWII{BIx}gGd-m@W$a_d;nR*qws=QQT;n&#><tqdJ>
zMXO$C*RY(t+V`vJvzW6*$o7$o$`CE}{D@oaD#jeq(ic3pfDP-g$MlRU0ap^}(p_4`
zl2eRn98#7rxt?Jq(Mw9;elzr`hUzNjcXpCu;@k?R*7)T!+l(S?wp+`*R$IkZ$pg6u
z#n-T?FQ&W^w-mv<OV8iXc@<kIX8k2Vv4Jtky(h#SD1h*l-g~FNtYS}T_*I9u|6+<)
zB7X_|rvT9x%k-6W*08_owfrGW+t_m{%ZG>laqIGW7Ww|<8peMy)nW7KE|#U95yW~=
z9)viz=p9Pdv6R}WhssI&nD1^1VfZ5vm^}1OJj>m{7(VmAu!$gn>}k)Glo>hD@y)9c
zX#b0Cc^v79UM2-YK6iq*oE$jPI%!`yw1tt-Hhf&aN)CG^lSIG!1h_-ip~LoO8>@t;
zHaIyYY!OJb*Z+BOjeIO_rnHN(2e?Q-!Kt8sMlgU$To!omvFSHb?qkz;%uZ0G(7>bA
zp&{{?G7wS5&}>UZ0<j!9^Y(dk(DdgHPu8+D;Bh@UcH*P}Qb4W0a3PnI`qvx-e10YD
z%I_i#zDz-0`%Yw_dRO0F*Pa>fZu$|4<5G~qFe{l<MGk7!<*d16tgs$`XFkhK3Vz(V
zd3{ia5~c*Rmo@LQfok10d*H4l)H%;g1&vcd%=zC(pVM=I$9_HYL7XI1mnJ^$&7%Rs
zeC4PMUpb+=ufX5iND{74tUuz(rUPrbAKT>_++ZQWvXw_A2{sFfjw_uEU@4Oy{kY%|
z*ojo&xxEr#>2}boN@Rwh>t9BK=J+6nl-}W2nFKTqK=<M(3n1uC46+h{z?_TA@`Vy`
zD%0-Jb3-;Dk<#y)y(a`YX0v8X4HD2$lr}xu&JOvyXXWEYgn_zFlazf&0?sJ^U8nTs
zgv*6DTYH^Efqg3dudszAsNoL{8;^6t8NZx3|9vqS^^5#&)-DMovgeAb)DHpO?ANXK
zA_<tMvedcdBL$SN>M~hQ@j-Q#Bk#9oQef-;ft1Bw8uXm4OHRJw2Xk8q2^kj|P$o(d
zkKC7m_gkMb)Yb*zRwjk#t_=Z{XHN?_^~pjU|D=o}2*a}Qo|n7@5v<dv+WDW#LGD@0
z<^3oT2x!JK1jH3UoRhaX_n|yko^LKL*cF9`S$A4yc@^QbWvrpnZw2_3J3}15CJtXT
z7_M27DS;kIjj$^yL3~6l$&X11D1ThvtJ<Xm_7z972OE^(Z=`C@QwJ$9b)?$hexeKs
z1_RaiAF0Ac;ul)w4rw4Lgd4|@s6fW8jOpm}>Oe>PY@t_C7SuQA6!;8P;9^1KI}axf
z@Ns4|qx2>~a&jtOX7bMic8<UO=&J=D+QWP|WB>iZh1$^vWGWELTG;QOsRLjC7)acH
zMTBuF)7`Ag%1~bSFq6F*gWbdmmmVE?_!YjBMRHFG5_ErBNzDOJoUmmnd@m2IhgBRx
z)fGW4ke;V=P!Ap~7+HEY%EK);F~h%?<Y6{oA?C~neMl~<8@UrH4<qM2`g><&VKJyi
zQo{Nul-qt@?_!h(mY?OdQQ}f?ZA#UNq5CLQ4oFlutN!z{vqQ&+FfsU9PG9mx<QP0z
zbKgv6lLLa^vfZeo5Y)fc_8&cV4DwC$(&_VLfxXtx-o)+@Xeakg)M_7tCZNi*;*x;|
zw|+XoCv4z(TXpUe^Dzj_T@Q4#mV$VHKzA$u^^zbVG3mOaF#67M@`1Mmj5gg}ZkFH0
zj`TQhvp5}vQfI=d)EhB)MR8y5iq|hphpSkKWkDZkIsER8C5wQPN2LvMsT23Tah8SC
zQy;zva?RfTECeHYjTQR}OSsp1LJ<3m9w<1P=M6USLltJH6|KI7e|#C+wCJP<F_n|X
z)Bn7oMNYW>^q&L#oW1tUtD%3n-18!7dx;D7xd&hLpCv=CzsK)SoB=p=wyt%oj~!CP
zH2T)o$kEq>JZ0Z}41}sx9@cELK)CNm-LORpWUS<<{k}pMK9Tj)NER~y`@4y}+Uu0a
zG`%8awoM1dSy^jD7O3F?twWzhBqjRx`!kuvf;QxmT)|Goki&+f2=({_N_1#=#wdbQ
z8$Rtnf2QktfN4q?J6%wtMEK@1le&Qx+;e1!c6QsuDz!*<{01n{mz)osDNi-w?}oK=
zh13eRHFKf+)-4J|c=X&>vrYr7|Hv(hOU+=-HMdqV1`6c$Slrx&NdpQKA1er4`H6{8
zTQNM#BS%J2Hak%lj(`YJeb?5c5nE4HpQ^t|jt+0RBwCcJL&rp~`{|Z!yw^Sc_Pz``
z`kqD=D#@u1&ad9btlsIwJqLeu_tKN2m&IquKi^k_D3h+bbA~_h2^F2Q6g1?BJ^e3T
z<(Mi|jl7oZUjKy$&WF<n3zMVaRtvNFld4dzUNC>oXcnJHs1#bXBS%EzbBXM=D&YO%
z*jlaHB5o@c#BN_ej<yVat7x=TphEFv3;XOc&e$fI)G14WvJ8%Ce<)RkON5-@72Y*`
zo@ha$-9Ujh{G78VjwnOL+t&^k)i>}nkH0?(enE*4dO?|5r3A`7mXU0RoA|@nREri@
zDm17wcW2yC30%ZlHaV=falNBn39{FzQMvdPt<*k6=)~LY)?IdS`A2b5j0rS|@y~xd
zf37M5nJ?)`$J2d$E4%U%^C~T3pvckaCsPEm;#uR8GbAWhWR{)%Ha)UgClU2YRDczW
zUw6|VkfM)5v16DZBl@B29Jdb&(4?m{JMxhXO@=j2P;E0I{3w~UY`Z+v*Xq4}x=fB1
z<ZXjlpR*uO?w^-QCI9t4BiG6#6G|khG1h33%8Ja7)<y{Z<I5b$aSrP$D%5&+?V<Gu
z8){8>WM{S|2Zh(f>MKoY5P9f)-{KJt^hYqf!OKey*3C-?DYt3St(Een)lZyAj`DM8
z=>Y+5H(wgK+(?g>FS`mGn{p$~m_;Vn7y@j`KT(seVnqC6FByN*9zu<2?`gP?5#Vcp
zE^W#XGcqCCx`xd2qNQWiI?1F2kTH(_6vf7h6rM^uaBmz&)#r=c<$Gj-{{^2m+etQL
zlTzlfAt{J{e^d`XRwWC^tu;)h)7TM}f-iMywGcWNo>cv{Mivgfs}84gaw1@99W$U1
zL6<W}CCDaa;TcEg$ImHTNO6|pY~wjmv^|-4woHluf6V^=b~NKb73~}~z71lCWw=h9
zCyW3p&XI19xp>jR7iR&+6B5Yd^$q$eaXIjf6%7sF=R?QEgSpgtCDDrq#?$G)<v`P^
zh~Q5tfLwJtqLXe)BhBS5de%`Q2)<wO#yEx0ljBo730$(M_7-b@4vhlLPFz~(Qx!&<
z;tNVMl>{Vx>mc|iQUId&kR;<J5tLz(mVEyL5gpiP(f^HAghT@Yx2#xE)R+D;-E>(V
zO}*z<A9$+-VW-~)#}A01sCDnnf<gsUqC2jf@>v;5?6_iP`6Q58^G)_8J4N(BHDJ$@
zTor^o4KzaRB~kT>$*R-|MU<qP-Fw4R4ZI%ZWZ#RFLh7cl9%rb8SeZ$NGq%)W+S%A4
z2A4+hD`NebPn6I=OvmKiL=Cu{+Tz39ErYhXmPj@Ilu*9b+dO((E#S79t8r<NML|7<
z#WH3}sBb7Y1P<xI%e<Qod*K8mFYwCTzfTeQ%;<0|eb)sEQzo%D3UbKhMlTqPD5B*v
z*Mt7mDHxpZ=tYro=)rH&p?P@)WHdZj5=o;6CwJ_rsw(9Wzi)IWFC!6cp7}_sRIUd;
zyCsLK)8vquCZ^?nK^C2qp-Uby(+7T0a_qj59MYHVxNmt~3O&0+d}C3g4+$rzqg8VV
zXfv@$pukofoo8%aq2)LV_N5BE<K42zq4VdF6Guc)m@u)<SN|wX6S*0RYGqK;C($xX
zO97NM(rZC_@+fp^avv}9lSaRaX3QSH;6d>&0l#l(9|he}Yez95DYSacfF+*DjyS4Z
z9yc)^1zhf2`(UC3vZga&z1YftvVz1feQ45$p_k`RW-*GRCU4TsiMtf2Lc@tTbVna}
z!sonuZ;7I%Q#rNVHQTu2gP_nkR(<HT=Kh8HgprJWLB&`4Kltx>Wrp>1JxHg_6izxS
zggmFOFc#{5$3u0wX>Y3NLCJujYt4OrRCl@k*Xf8#Y&qRQQVs#A$ojUJz2-$T=4x!Q
z--of8!B_GYCID?)S8@uPxl!e+uTMM6G*%EKRyLN4L1a%>&C4U4C_K9~TQq$h6Fq*H
z*`Qe$V!xS*dwpj^-cq)XuUVEb)hOL~%>^A0IbAsAm%)OH2AQS9H<vIyZnrD1Idvdq
zHNtT66eD^x)L*=-v5YN9=J=!>(}r$i`3rN!wCH`g8L86V62{_c6#w4?EjTf@=|^>+
z3gz9sskC=#33D;o&eSgbmurMLP3ACi^xodgK!sxwBV#(Me{EX>C}lG1W%o(Ydu_9d
zdin)ytGQ~X|ELC#29YOed+gy09Mo;hU9(t>mCsxG@FNhL<}pR-x`k5+jYN1q`;B?&
zI2;K5RtG*=C%=P{b$sT&#!j8$6ed5xdcsj(9o`T=xOFzI;DIL&&Z;a<VAn#j7&4O8
zV0h#>X(8VdUiy72Htg#dM(*XJ_lZ&sI;u(I4!@bhTeM95<?fGQgXi9<8+fXM0x{B7
zHeec0^5uJDk~@T*@^3U#9#R2xEno5-^Dn%-e<gNSu^+?Yf^AQjs=$w&kM=~4G5l0$
zw5d2nFDCQEa>Ke>8E7QKoxB-_@tir*(iG7yET$@YOiNQ4vZS{@`Q`QFx{q6p!g$-U
z{*uq;y(LPpSoNg;-ewQpUrgZ<<K2WAjy9bmQ~&3c%9*c(Iy-Uq#@A!IXX`P7NlZj~
zg(5f>8Qb=lwBdmTFH_!ps=<gNq(P~AiokT8WzVR&5x)=+z!mtr3VZFG|8%@r0iNwn
z6~>a)<1G@VUB`*#Sp0`$lE!ulkl&Qumep5-OEU-gJQFCwME`qK<=-t27i(6Uzbhl$
zRIk9j&oB?$RqP?$*e1e+V`G^i^%wlR=2g=U+f0o4C%2x2BoPvdC-0<tl;M{7#zof+
zldvC8mNlQ)$wAXyj_1NY#dz?VP1f#QIA(lut-&Ug0A_7h(0SfM{L6N5DjVHXY<BJT
z`13YdSo^aWSgiU9FT1$1=i7817fd`=I?f^s1&mS)f%o$8ll#7&_<%p2vBnX4(pCm`
zJe`kkYvthc3mM6)XCrXhAi;*rG--G@;iDdu^Z^(A=CysSD<1d1KAhLME(K-z6dk8S
z-{aHw6ZI}VO2NNS+D1m0NP#=Mj=tD_HqPICEwbie1}>x-@Zop5B&57)R;M4##?u(t
zJ>K4bk2gqB(PUCcg1Di@i3Q&Gcme0*N{gqtcnf)B>?c<VXeRknL@0lcGkhF7Yj^q+
zzRyxEIoBo*<2|dR7xF&fRWu(y(LXH23E>iY>YCzUxR6@TvHcNmFu;86YKn1+Y#03p
z*<$bz-&;$J&c)dn9LcBU%J7x+7?YU8VxZhi<+5`$AHU*CIrFr>0yiKF*Le^w3cSxQ
zu^V0fgr{Gbo5Lb1@u4eMOURi-!L(}tlPfB~SF&Sg+D;<8LG?Wof3OIY+8oAP<%{s@
zWv&<Po7K3NyTF-TMiGeBzvy!?RE%3*wHNu@Sc`upTs)H$CJd79?sf)WO7S+|+ij1(
zeZ}|Vj9&lX6^6=dUFU!Hl;bAjb0>MX8}O4fr{v5sgkYL2eX~sF3+`9O<V@<)gpac6
zhz+X<fvmZRM`&#oUZ!Dkmx-kn_nUp9vJ@-`X@?fFw!08M?99h_g|q{Izn;0sQ6d0V
zY(<hEJZf;OxBJGODV;b&_Ui$%Nq%VT9A{uwuEQm^@~=$Z=*D{thgKsG@q>-s=GM4O
zJ#JxSNY-?t7oWt0cR!py43q=-@_oB+c;Pz9@grG%_+;b9*J9y(uyucJxuLEJf4KEi
z@D2YUPFbs9HrB@r6*jA-k8Zc({|yM;o9_F8A94;6su$)3+Pl*?1Jye4;x`g;G9x2+
zM`esx`He%MSQ0q6^rI91oR*))`ECq9TH+d)R>uST3HQ4aKXv0l(tI_J4=3<%+5ais
z;pYLeR9Vi}@?P9a`9ss%n@PN0X{wyZhZ`J!O!%7Y^x>_!HpZ(zr}0AZo4PNDxj-{m
zQXu}}AihYcdR67dEbdvUre1N33zlfEyOA9q#x*cLQ+tyIyxqz=x*(qu<WddX%!s2n
zG2YA3TYCw&@sAbt7Ul$weU2TCsWF@}uc|?pbOq-<^NUX?ngf!ozgt<iPvH59?#O&=
z6|de7HT}xU0n2?OQO6c1@ep@L#b}ug{JOquazrRQ{IPSJvNHXRYt)Uh7RPPkca^T4
zY35>wtZwJ1kcC-1D48po+G+=1dSSiwIhhS?=7}avg9|v_NwxL5bNl!NVZ^Lki48Vd
za(JCXmT*PQ25Xw1B#8f$hR?euR>+G#|2fTJ1?QBn2o1!^kV9rkN|zfev`DuPMqXOO
z>rZou(e_iIRGBt&8&+0maBy`wn!16Pzs%G9Do2e1iW>yXYFHpSFH-ul*cP6_UH>Gt
zffglS*j1G9Wr2%L$o|fs9lTjCN<uq_0kx6q{mD7O0)b^sPYP%c@V$I<sfj6OBr1A(
zKvaMQ=G4wHq+q1zZ~Ljy?^UeGa;EpJH8l%}Y(LFRAdsUwU5Q-fmFy@WV9d6Pk_Gmp
z3`9>`P$D)qX|oIKoG2{)O=&(q3mjg5B+ybwjZWyVKXP*CLA1QwEzhl3pyFQ9V&qvm
zr0JMK5h2cp=9yoimV6eF5zY^<G-X8Y!x!o%r3Db59CdP%CM&$&@mv@)WI>LeEfbu$
z5Ska;P#xW2g@L!MYPCFUX!ojQ`%Jh9+H}z>4<=y;ZjHP^23`(icPnhSJW>q#nY6@;
zoZ*1XXTQqpPH~}tjFVwJ^%96Dy5YYy7B1l3C+n&~JSaEHv;2;@H0quw&3LHK1LVWB
z#-7*sP-=mNZ%BbG$_*@W3?t_Q1Dv<-vYh}DpjB_GaU-Hhr*sOB>jFUd9L!H$D}>Vi
z&KYv0C?KiNEomZ_!jLO2_~4$m2>P?3B7Txj37u&&SI{04h0A@v&ia~*A)oJrR(Pw7
z{s#a6|Njh^cRbX89LFn>WS;GebLZ~tA~&qNS7fgUl@c;CA{p%;iPA!3B@$6uXecwM
zh(bn#77Z#AC8DB!_wVQNeSE&3@%}tt&o@Ppn-?%m!y}1#(S8n%_odd^YqJ=GC(F%y
z+*zQF%XdXi3Rr3K>dqd292&;tr5DEphJMrsmzunhw_ckUzs+>gy^zIInW!Gi7&XAB
zzmDMr5xPA2f-$X}3^vabG7X%YM!2J2>3L_DKJUivCC4}F8uKdjHA+UCS=h9GNyqSt
z6}&j7RKeV}#ypYYG$mCDQ@kBpqA<M7fTt6?QBG%)&1>Qs_IT{(;Q1-L;Db#Dyqt*9
z@7HHpyg`STZk!1~wPz;efVClSZu0}X&@D`!QRnY{1t%=<FG61X!%0J)-7bQi65EJJ
zTCk0y_|FnqCKsBtPaE=5pH~-;oHXFgm+si&xY7zYM!vcEZ#3kM&C1nGk@R@)x9c<G
zl&mq`7W3&*p8@avx$0|m%`~2L@n*UHtJe5^((Ttff&uSsu6Eb6tt4K?&4=#Jqt>{d
zDZc-$41ZtOFNWz>%kbvLvicXlw1!($@VH-(9`EnwvTNid0UnLxmJxfz8jpBlluZmB
z9;!U+`&Lyn9;laY{<+v1!eoE9wg^pLmt^!l>H5Fi$+Tb}7auEJZeX5~$)fV+BCeM8
z6GUO=edtbq>1uTRDX=<IPv-UCv^Xd?L4bw&(=%I!Eb;37<L-xF)Oa$B<6Np!<>2oW
zFY}mUiL_n?!I?ZIUd%A#<wq4o#Ikpq>xWuk#rHvmeXcAo(c|Jr^eSN{(MW<>w+iKB
zZ_@9KOY-J6Wmf9FA!6^6V%7T!t6=d;VEI9trM%3oP^k)0M*KN%=fFfD+i6X@#g2tM
zDNCwH?-^w*oF^)kPIDpjt84GhYg3IL#>9n{CzVk$XPS{P$3etPpHTX~!A8FhiDN!K
z%GeX}verqF1IZ^d*LMnba=)}b?c^ycBgWmZrrXXO;XhASH1>Vr9t&sg4(}vFud9;q
z{<s<bBLr<NR-57aJh>KiGKq+Uu}_PSzA;5<`R-K#8~$-!Q`-*}S`*RuA>-aMb5n4f
zk{Jpc1u&V~&74*sA~(Csd8*6=y#^Om7hMv<j*C$Xo&G7o?!`$t36cpOJ6_mcaegV>
z$E#bYb4u`xNmdCeGRCm|c9*zyqIk4+qEuXph|ui{c_zBXAU@T$dC?^f?xPa>_Z%W7
z>h@^<ZDiy5>+frGk4s`{@9m#I4iVw}bpVc=*vMFYaY5V}DM-jHF){c^L_l4d-OvIy
z;v5Y2zCA-g{YKFQ6aM*(o)Qc$xyC}9M9sz2lhR0XO<EoEO&M9s%Ls?Iupn<ZvVCN~
z3{3aA8xu~eU~@?Qnk+RIws-`681a_{@owrVmG!Ea+|_YxW{8RFg_#VxtsGRvFEV!N
zsv+;lc<aCoCc>?H^<L}9V?%zSd6)<Z$IA;1P8?-oUah+Ki=+bfuRDDDeKHAOBn9p`
zhA>g3AgM7ts{lPlZE1&?IyBn@%67Ujv3@S0O>kHdTL!e(Gta0a^TI)mtyWBE9;_`k
zeXax*$*bc_my?lZY-<>A!G!2Sg*8<Ey^?ixUM+1SV@RmLpJdNO=!b$LsYl9qP-c0t
zJ%9qgHp08IO-zi{_ALL~p@P_F{f0LMG@z5~bw6S+6XHwiOtYS;;(1-#{qbTA)Q7V#
z)}CiV@IWhB=YtyBe<eo5fQq+6vN28lOl&E0f9t)Mglh}tb}f8KMWKL>cYz`cM!g#p
zViv38_mNj_%HcG;O_DIN4q`#L)~N1xsyZB$TE-P;Xb5?5BK+uG7Lo&e+&?OiQA?Ko
zLyM*3lO?foA(;&U%HNW|=g7!KOqs_J9aqOkj3iF7aqM%8`8z5F<l$cP%2k>uUV5&n
zdx<fur}n)Ryg<Pw`i;aj$21YY^?tbO5o5H8eQjx0(}1(iaNfQ;O>FC1&~sSA1Z<se
zu|DY<xM}g$v8h)RXZMc;yX2c-S-JPNWxq7=BqP*C<uQM}?84{Wx~6!#D#+}gI~5x{
zLjn}8YNEGne6qE{6x;<p-U;Was9pP_^<$VOHXdw?=yfu~8>eye+4odvPZSUn#5A!h
zU@1rHr5Qdn3$^~1qCxQ6JCUk%I=;L*P(1Bpj*)Ezp}xy$u%TO8>HMZ)L1G7G;Tv;w
zSQ3g{OlSzz{KfLKqk*|>cJqKU2iey5yX_2V*c58CF#8}CYI1~+yKizZRki2JN_iUg
z4TSkzxugMqvs7EcQZ5W-T<tfEP|-zbE}6SWLDsp@6gOusgk{)8;g_g*+OW7?{|Ol!
z+k{@XgIuKeY_&MFo{G)e&+VBXP{+ZOlU_w7TpWB_)h;@#fkWz{!b`u9aOSDUB5oBI
zi9GR&x}zG9@=Q!{n^A*TVtr-yEiUGATI`Y}H1OKtPJ5b`D&CjR{Mde;i|scS1s*(3
zLGj=h@ng}-xV1FIbb$Zg0Pgu!Bmc-C_qETpzf?lw+Yk?ZcP{=7KQo_<AY)9oq^7`M
z5s`k4wNDhd2uxW&+woEzidWPkMWht)$Nc=PXD<i&_KErFR_cg-!_l4|l7oS(v61yb
z4)S7o_ZinoSmD_Imi<;1Ef*a9HMKeTFWg=^NsWYeWQl^VMY1?;Ikzvm-5f=<)IvQC
zHMAVg8=P~Hfk|&t`k}4n_{&^7RVJef|MUBmch^dT=*r7K_s<O1%;Z}K2rA%&KYE?%
zD2=lu%M+h7&EQ?9XVytl#z`xi{-6cY*z!q6(_hmJ_tq|7Ed?UB>Z&Yz_k@70!UFEU
zYE4lY8?<D6hZ4?ZY~4K3On^zo<mx?6rf}Y7`^e*tBF;&wj2`PDVDcNq>GWF@eDPAe
z_(PJPPo=&Z4`&Gcca<>xJH`ZmI6pEN@d`NJnV0a9A&r+On7aDQOmO*+BiD100<0aX
z)SQk<<0jF<@78%^K8LCf2Ia})u*3;s?hk2v;T_o}z%>R%BwWPPMjpGj-KJ+o%Al?K
z*}fxh*oZkQr~OA*9($WdzL+nN1wq@CcsZU82Vz^f;-DPVb;QrzE#jYZ>+QZrR5sLK
zlP(57lmoHB2V33cFnDS8ynQzd-zS}jIjwT|+IO({vb;QQE*IZ;ES?3?OUAcdUdZ7{
zMtq^%7kPyKJ={F9l7&1^*+A33a_BfX9^?2}0eOAC-W^|=Xq$|gTEvt`MEae`S)L;7
z)Q()wy~YHb?%i-XAdgz%uj6g^l%QH8m|GLg1Z&ZHwf5KY2pE1`7Vw0K^5s3R&w`0y
zYVuVT2L(*O(sA*fREBa(@Z|;>Cd%_OPLDlOz=&OH$VxR;G+az5JNb=)yD3$lpKnw|
zgm~;O-3@BEmKoBN^OS)@6T-1O<`q$QXjb=z3kmtgpZ2Y5VqnlqSkIzD37b{2`4vpU
zq3?B1*4<$sC{AimZ6p!@R@bX_l&T{uxO^9xKQ7uL_HxB4Wdtc)iXp8d<CxYJSMcX~
z5+U*Qg_;WfGkmYMav23dy=7+1=M3b$Ota)IQ^mJG0bZp%3gSk$bRPK0z*uCieS?4+
zN`&m=pT}yTyWy;S8kvbTRnJ7&0wmngaQ{50NriD&@s@foCd9ZdpOlW0usc`caYi2%
zN(*N?Z3~(3&`Fm|C#a)aKxAZhJPke1L+93fW8zw)K<@st>bP}o$N7F0I&SaTIMeLJ
z!u40D+_H4YIDVu5T0;dLMgLR^H{W65#ze4ca5WhOdifn8LrpxmK26QlWuxVR(%yBJ
z6nN)VzusM>i4~R_oby-NxTclkdiD_ogMs=&FMex6rZb_#k7*1C>x`8ij(pC4C|$hF
zR0~pjswMr}jKMBUHQW0@1B@z@V+<cHobqH@^!u8C9_RP+50i?&SMNuU1ZW|DFDdiN
zya`GYSFe9?hM#kOJrefzT3FyL<R6o7igVJxK0KME;?t(JK`X_zkX$!9n`&Z)>sJ=W
za`=2+L2?k^Sg8rJuWP^FGc#OuAm4F|q(ONoWl^w!CU~VIpLT?pLy4pIs`wNQubUD%
ze>3Pv5qDu7o-)U*>lYz~^EA*s4DZ+V(a<Gkl-Ll>f#~Qr!osusy!d>5f+|46ERV{n
z7~+6FxPGHb694=0@0H1lRD{22PI9&4bDQ9OrPza?A7Vw-_xQP&Y_z~lJd+FC-l{Tl
zX&Nke?*inB6v!%g8TWK?;n+2rCwi9(V)N;xpC!qV`H^r^Y?ce2L&(R>byP&}oWHqW
zNF8SuRgpIf0nz0Gg16pjz&j<%v||AYwKmSGT1$X2KRMNu%^JuO%AyqrtK!X%y&0AB
zToepE%8KcxK>ttVvfEn9xWVnnlYGs^BK^0sFO4av6gwzR4^zVHmbS}ZFLS}N4?M*#
zAfuUer@N*{0cTu-O2)&u$Ykv3_&ukNVWXVIExz(dd73iTP2wWF^NM23Ms<t{>HAwN
z$-yJnUC6VYgCwOJ;$5{QbbiW|7x^ax-`9=lM&TU%mXYHvRv}@7&co1`;xc%htTiht
z%z;(k=YgwB)KEaEoVsBvjUiRbO1}bgC?39@l=)5t9o@QNKQ0r{(sb-@hQ2wT*sosg
z!S|~U`XNf%N&-51^S-{SH^ahw-vWtdBJ2#5JXmj~Fr{-})5FdTL0S3EJG+(mUY52j
zzFZ0<MVr8>r>2-VCGOkzO%Vs~P{U^VKI=Nb%{u98ijFs~4{0<-{BFIl-Qj{1BER++
z4Ud^1>g?Xhr8^WL(6IfYb-NS-&K_6F-fMyk2f~gIJ@OEUCl!tg6HvBW$6=+22~7Oz
z5(jMM5&w9gHPV}am^W3WX8Fdj*yK0<>zN#uJ?<)UZY5w<?`<clfia@f{HCP#$f5A~
z&@jVF8sp0|9(X=vgB!1BHDVx#U8bsQ3D2b=7p73ZGLVhWzP|TXERX|1Vn><a9vR#j
zxxH6Okc}6=J!Dcp$RgV>j=e=s7Jl1RRkmJYAvZiywCI&A&a6rbDVdbTiSU~{W8GLN
z37L4g<g+YFYFsvkwaG!&YuUZx1uSr-l*n6z<-o}C>x(RxheOF>MVDJlxLlH(bTgBK
zZ<unyff5B6s)^kl2xnr_=u&k;q8wBneGuJ#SrMr|HhOh>OuQMop`Z6g4sOC%wIp~-
zaHvQWbf042WGB_Z!CoGM#`oURhly|;dUajx9s|_5Vpu(thm-T`#9&1gxQsHMoylRK
zQ!Dcb(@OzTEZZ%cHmTx3N??#vECZWP*UYufDd7DB@fh!GYKS*f4&!ZP;G?|9znn@%
z?ARc%?EWDV78#r}Np@hs&2R9AQLGYn^^{C?oAB$}*g)6Vih&6$O)FV@B1Q#QEs~g4
z$IQVM8Ig7jj0C2x%g|SbZ~Mi-{Wr<T7MFa}x}E{|D36>s>MF1+Wz6=+P#_siyZ<bj
zf$4zS3$tWZB<QlQ7qB$2SyjYN^9%#3Lp?{YtWbl;8-mPFzULke{Ck4a#ehxJXk>#1
z|Gh|ra_VZR$W^GYNRVX0`h)cHt|}7x4Za8Lh@qj8@?^l+hlv#}m!|jGtD}ujQ(;S|
z!>`di<wzY94=z8T9)72eLXU_zau*%0&plUcpt7J;m-i!X4;f1)UDWe~HPPZ*`+QwK
z3(O<szAcgzEVy&~x7s&N1b$gyH>}1+YEFPnaw!GU;d|=m{j|_vX?0Arf{hbrUjJ-n
zXu#(FErDaTT3FaH?6ud{7~w;Ud)75-U|-^iZ>xW5p?NrFYS*YS{@b{pGsmUkw?OPc
zA%Zp<k3O>;%`k!E;w&YfDk@@i`;Y4{(+0b>;ISvy6d&%{#_Frk;JI&J_Sv8oEbeq_
zPK=pCiI;1n7fZwAC#~$6R4v%AlJY;FYliWkADe9JXfRau966)F&xMQax~5!nxMZKo
zs`yI7DuXbqvHvt7Yvr69!}s|UFAi#b5}||r)AxvJ6P?eUt7mDE94!3Hs~nV~qpiDy
zJ~vE5&BW2JfGG~7Vz&MeSVYI3@s{YKZ&Xa%3F;MX<>J%z>bI7!X!w~)wB7!Z@A-<Y
zS`S;fXo<+{P~hjqgnv$qX(t6QU)@N*wiM7SY<qstfd&!b9hS5!WGoM{<kV;Yms0|B
z{tZ!4mK?Hc&0%$X8{XGEWCXOfJZ#;&jf!^nK%=Yx5)Rks^sYAn9JaQqn+$27Ig2u$
zm#qrZh6iB@4B#E{!O{oL8aVqoEYTuP8870-&hVFwQt=m!-Q^T)xqbCePqGr`FS6~f
zNC4MG2isJZP+;cw_>5_d0y--7=O4f2!c;g}B+QG9JC+U?tL5bJ_t#uj5I?^*Eb8QK
zx}uH}EAx_pVp&8+h^$mK<6@y+uw?ig2{zizl8-m@Ilt0SW9$V7>93Y%5AuCWeU~*U
z)Lt5lyrSf5+c_xEnw{L?q6Xe!+P>@n0?z-H&{O_r4uwO-M`QTDlwG-MP3#pZ`0<ho
z+m4ze=kX6><8x(1$q}22l%=p}y<4TclsP73np*GOBw})fmwZ5#BuMMW?pb7;;jGyE
zhmj>pNI{CoK$IjLlXMill+3^oJ<_$B&m*p^<1c+TNvuxk-eG&z6tTN<JY63s;J@82
zuhP~?;=uOwt$k!uK&w;N>6bj(<(qr9hDl=TqJi42G80ruci9wK%Hv##l#bUqNet&i
zPe!jWf&7m}8+VrSJvr&$d*`o`_*rNBF1OYgqyznTnpEYGa#y@$=Nc)jiq^lBWn+vS
zX)R6H3R#>>S2lHMlfr%Rr_nuqY-E(~OMB)i3;Oe~E-7mXNE7u|x)R2Qw-JjqCL@bS
zPlO2gPQd!{Ba8M6u;Jw&Tt^#`f$)T3;Q4dXIJP^tFt3n>zE;;fsV6e1Od9;D>nDSn
z&3B78fdzk`RXdD(WiWo+{qO-pS=1Q(`Ka)bi8^BcwEjmKgmoTC-6|u86+sIqTIo!r
z#<$fU6_>>>=AYm;A$b^#CWU-i#l(ivTLUBZvaq#G`I^5}0k3c5|95|u&*9o<M`!b7
zac`tN@w2ibZdN+Z6K^x{=j-h8t$$_V;H#5z4N9oi?e^Wemw`H|tk)AUa)_xZ5P2U%
zM1KGCHj*_1cDrtCyYTyq8K#4We~mIi+Je$M6#4uQzZ9{W-ybcp34HWfOci!+^QUL0
zjbIi}+<)9w0T!enyXhTj7_wiYZ}!RvV&eX3eZq>ceBWB*A4S6Wp-)k)M@Fc(cJJ<Z
zsfa<L6YEM0)$z*xhDpYKBjo*A**e>xge$g5$@8=7kd1sN^SjjuzuWG&JiJcCC4<w9
z=w>pynkYNe`i(HN`KQaFDrKl#YRtNKih^_V-%GAf89`R{_*wHd6&MqZ+tvqaAeAzE
zeuF9l?{Fye!Dm&t#y)VcXHnsP(t&%^g8{kS6Qxf@NN{AN%{wfi;d*)N!`1w}@ZX{$
znsR}J({HCwm-o`}^7{hm*a-$C$1}dfTC2lG<llSmY&zn}#%=L#Oti8Sk}XHnk-apk
zddOK5i^IHPgPWO{wsh3rkwOMnq2R!-Sxr>zY|j~6&4PF&(U@yMf#4&Sfl!(j4Al1T
zj(x&Hy{eb@&0Y%1rgkq`C$5c0=L0)MwzI+55c}iIb`7{zC&g<=X~TMH&Ndr4V>J7^
zv}X%aq3`4E5qw)4n%j}%+G>pL#2z8#3@Sn|EOB=4(}s7_tAze|6J$<3Fis)R@WR8&
zrmaUCZDO~tDVUpLoiDG}mhaUab6K_9&uhcjd3fFDKc+aGZGV9`M1!A_`OSa!+OYYd
zda0w@42e0h1(^nPe2rch71*YQ3DVgZ`ABnk?7G%{HJA<!d>kBB=JzA7NY<jN987i`
zNOV6!$4!a)DoqDXoMuM`iZpUiKC|kVYZ@IfuGSMe>*z>*^X_1^3m4b7e7*f^KOF(t
zA5N=U({MTdnWlax7mpRytxa9&7+OY|)lj8kalc>OaV218O$qgaC>`OB`duO)DOh;$
z-inVF!1UgBo1jV>LTx5zMoY-ZT*gW>@B!SL7df#xH0-4wKk?L09ixpl5}w-u9@Qwy
zvzm&+Db~`R6cP-2G@>)3fqGtkkB>SPRaKV+uMDa{PfdMb?>69lqt+s`{TdkeRv2gG
z65&1l%>20*5b<Y|{d_wG_Kl)z26ih#cg=zNA}$cmN=~>hO+gen>e-uQd2kCuKTQ(>
z!**s!ktg48VswN29?BwoNx`S@@3^3TG<bR_M;*tuitW74m4W3=u6uDjzu!@F4A*)=
zf`#Po4-sDo*jX${F_PvYz_(_{LRAu!H$G{2#rI@qg^S8HXE_kLOgs_MtqPN4@hde4
zB{6@s>7uj-2bR*Q)3(tn7`4?;Zy-xz%X;&o?<MBYGrP<wr7MHY2(1&OOTgkP*`%Fp
zj-sXw&T|t=*jby_zhaX(P6|oA7&>bPkGyho)?-B^-;K2*42U5*jJ#|upZ_jVlauxL
z`QDgx`uzJ+F<dv=a{XTxzurEFmnHDM{Tfd!k#$WB!uS5WS3xjEW`LKo{Hz@Qqc_Ru
zj*G#br>wCw-2^@_%qALGa_DrTDeUtX2W6qTO|Fy)(%M3zqfg4h_d!nG31JCbj&*T=
zmT8Q2+OBIBEt17ggFpZFzK}psa8suy(HMsLxBJCU$Y3DuXH;^CB!)~j7f+P1!TwVs
zK+)%OJK+s|(=SPUF4|iaXUK-WufXZ*PtwR-Y(QAW?^F7e){Rn|S%?t&-n^<>8iJeb
zClj0rIMv^K-_VN%bNx`Y6@}8^l}xpk5u~ACwe#}i6cY(SE6snOkp`!!g%!)6?*{4H
z$gNB!N*i<EtCdT`V&*~WlMWeh#m8ehjG5>^C-GhPnKbf~yJMf+lSTB6;C<;s4205u
z)9NH;AS1PA&Dn=?*g~CowIz#z&qH=CQNA)r%Sm1l{*IrYhvi}~Ix=v2wY0WKvkWeb
z*_y|RC}R4J(Yh`X26&(9Lspy0;+ROT*HSAbPz^pjaql+5-M;$K@fKNh9ZwltnNEbg
zaD`t(ff2?9bQTTx%VEguHc4PY8I?aPtn;FcFt^YA*k>7eR3yI0aoVhk6rY;uBW^~B
za*p5nzF!`0wVit|52)dGs*Au%QzM+c*FBz9p#Z(*_MH`XNVp;_bka%R2!-Ens?_Hy
zqUC6J$Ax5doci%^K1bIGT^D}j{y3$CePa%$;hV`2oZ8U%g2`WxkpH&Z=ZH{g+7|WI
zgn|eK$;E?CMo7v}%5c7`jBBlqaScQbejjjAI3~&n2b{~jAAV7R&7&Q~(*HD2wqkk9
z=29a>{1clQp{rrI|9Df~d%kCW^Wk}ZGQx?UUrSTiBv2bu3dNggNKgsu`^{$HLyzT5
z<$Ds=PRW{$71ANN{r!jLJO<+WW!>rN>RA7IQ)_LMCPIql*ZdJ>!q)lIhCLQ!WVt;Z
z4P$FzXg$81OJicVj~?-5ii}FnQueViEqE4wP4FkP(DLEku6-9MsLv>hTXReshg2Uq
zALG}X_N}!U@7y)8&CG98ho}y`qT1qzW7udp6MiCdUITKX$6G|V>);XJ5_$Z7_WT{K
z+1>&w7Ch3O-*{CA9#7K+Ud|e0fo!z*bwe5gytR}Pc{)%LN!9UdHNm6w@*ce!8YJHA
z@|P~tLA*<Q`rp&0@cO;>uB|>Dam)7zRr>1SHOF(o$8Ba{U%DVl=5srCQx45_L>tPs
zGR{+`=2%-xu~U3Ohwf3I$lVs&@FHZ~>s!RZw(r4J<4ZMhLB%%1B|;1I_O{<>;9yvJ
zUF&-_O|+{9#a)in#On6lR~7i4zp82DrXEF2bOt-BjXKkDqESD-YK{vb)>T3489GJ<
z(uW!)Xkf$6{jfRk%H^(8ay1<*k9^I4UaNsyW=GY=_&ncJ5qKeIGaXX-mA8Y}Q=s8l
zUe=chu%dZYI$vmbJM$#=@i%qY{VQ!3x(b9HdfJ)oOT*0b+&vN}NH}pd$+NTySgZfj
zt)hvFf)wF?0e@B8^;QpAbpuEh={<T)ii&5sAHx1VCW5Juy1BL(C^BApZVCUs&Yqg_
z2n<q0dduBCx<>%6wt9op2?}CQ>Jx+v<PmV;SHUZPV8Ng9bm6;XM8;){Y8lC*^jod0
z8VeZ7KJAb{rjBc=4bK{)q)|Aw;fsp^aCh)F*?_2y)jwQiOTJ2BMwuQLdy327$26hX
zk)K<_*-3&Wl34#=-6w5%E-D^u_WvNn_y4*T54Q1no~PHL`TZ0JaW+>Rk0z?X_3^|@
zdbAk)87t@REaTvR00030{|uLBAQfByhRMvluD$2Q9p<&yeNmA_5lUp0l95!Xj1-|H
zEe(`PM9VIO21=4qGD;Cih%Y0X@BTeM&aZQx=Y7=AF8+H-l)+6^|C?pXe3<P1=|?+Z
zj@am&C%#XmFxDo~G@#9k>JdHTs!21PaP6{7KO~8`>91~%7kTi}i{B@Gw;AXajEFzB
z5|GU7^Q&X<z<R_lsp_*So=V$<A2bq21nYI41RWk!u6dBOxX~1LdgSj<t;ApzG(kP)
z&4abJ=54ICCg^`%>G5x`C?2I!YqvJ=z)7JbV5flzO#W@n6umEkB=<Wmsh+&>?L6!d
zU1*Fgrv5)(tr5ZFL)Uc9D)NEnM;Pxr4P$tpz40eDLKxRFeSb#?@T1v#&xQ2IMi@Bd
zvQWq&41}l<925mWV6<%2q#Hr)ba2=GheXs3h4sF269l(~*wfEdhDhTYktzu!;;rp#
ziu85@I42~D?Y4&CWND9-u_EH<$5-*KB0{M4@DTUyF@WXM?igb&BK+HR(qHro!NAjs
z{avU5ZqGNB1?m!U>WoGCKn)Sp6tR<A_zWOBKj1^!M8r0p=zgDv!q^r6XS?Mieaxu+
zTpEoeB747-baH_R3<MvrOgQVqYtSWWM->rAzswcBt`Nnf>>jC77JXcJ6WSs}6vor{
zPfb#L#L&5IUDtGp9=0rI<<CV4BO*CMHke-m!OImc3L$#Pj{Upg)uJ#y?W%L?cantV
zf_-n1mL8f!)01|kiolocn7YRUDIlCGqB~DVGb!GyMo$#P(1m;*aT#3F9bPtUqGOj`
zwMx&pD8y|ueUj5<QS?c=E+Cf<<>SMh51xxb{Tzw3nJkaVM}4H|vvjoOD$vw#isSyo
zn~pPk6`=k{cfa9rIv(F|uratK0axu6uQS$)kh!6s8x&4Qy^NAfZiXa$cU_5JQB%Sd
z{#e<SXgc0CHkp%{?^BCNXq*yO#=EN6h|Y_2@b=Ve>;9C+*=nN(X-*Y*)Jz>4DWjuo
zA)O{bl0|+(>Xn)$6<jy&pHm;EV^Og<;?WT~7_}!yJ)9vSsp3Rx6h#k)dV{xeJLK_C
z+p|l1TovvY1;(nP^$>eCHa_jP0)~H`F5nta17+PN->e^cm=_ai==W5FH{r?|w^nt;
zX}H|X-Jy?E%YWida!N4I*sM@oM8-(X!Do^K`Y1W~l`7k>gk;yMG})6BEUsA*>WeYJ
zVrWnrB}W-gY$d$NW>jP^)cid}GenO`(Jb#C6>N-RUn|r@#pJ#iw|66k@E17$cvXRf
zL6fD0KQ1(U^lK7kJTt=UsZo!)PbB<#w9k4zp9b##Za+)7Xbj$QYnBJmsyLkbJnKs<
z4M!)hINu33fvx@V>bv4<aPVo7=Wd|Ep<!}l%-a;KS4y&cZmA(}YKS3ynuhmJQ#L4V
zHpA4t<@1q3>Nt4dO0>Qp4G~L7I%QxEzC~TlXZzKmLpf<}<3ol1o|+hT2@5FlI{w&p
zUmXjU=M1c4D9GUry?lDi0yRG!?FetxG22^tUSmHQM_a6fWu7qbca>v<C-a>3C^=#c
zRULmSI+}AefCLF+$tdPMu|JCK!``aGWMrfLqi}$db}8-bK6TtB`lm&1BH=@x)@y?z
zAorWG)Va0laPQDd?W|UY)(Ba`>nrd{WmIA3IW^Q@6ze-pRszjljNUQ}G!hphFaA@-
zY#nQ$$~6VtPjqp5#%2lE^$~&xZB?=FwNt~GiX0vh^U~^BERpu4p7`iA2@za_D?~`6
z=*nJJ&i??8jx1-}G8MFKk@FuoCjmO!R9JgEF#pLl)2~Yz-sANQPjN9U3kb6m7XZ|C
z0_#PmmGDvQ^1SyCVR-DQrQ;|t#5x_fo=*u;<^7`Le}%Bo>f>860I@q<7A~kLLipIm
zZ3!C)NV}7(_nZZ|K>e}F7z!wKPUf|!=Eu?PvK5*~85rua%9p8=L!~fBheHT2y0d@#
zw*Iz2UFH$OPYGH4ieX`lU0n;t##<{%E*3}{*%|Wiq%_0??>L2NbK_vUoS=4%IlPIT
zoX6Rv(D{}=cvFK5xy1^<Hj~V8^!wrP3)vEwO?Qh{O5nuDo$4o*Q_Qf`W8V|KT^y5M
zHVOh7oLK*CwZCM_6c?VJ-%ZyL!}Z{kHi|Nw2)iKA)9hgi$ByYLC3#WA*>tolZRCXi
zi;_gqw<dV(gyF54BB&1V9b`P=#JA!C7JjA|hz0e(!`y}OURt2*(t0iocf4GX&ND^{
z#cto+9U>Gpo17nTaiiTk#ywry7|mEuQs*LqWADbxMt`}n+2}&?%S%Qmi#RGkJuQT>
z^zW6uD{JApW#U7(pb<(hKlv*qF9iE&>m*4{UJToP3K2;&#EALK2!9&^+wHHJ>qhfI
zC+@U!j))<G%8bk9GYGh!W7#V|$`3V-=(kl_2FRE_EP6DGfIm;Ou7yVkLjJl+Ln_q(
za*KOoT@DjKW#|7-{Q?0`3%TBJtI@~#V}l#HP7*+O4OLPI7lP({_cL~``Uv((j#<bd
z;K9lrAql3Ja*Qb<B~yCHpZt2V{3`(!?yCnLhYG{x<&4~ybUkRUY%2SvE(Gz)EX|vV
zBG?^mKPLt~Z2Mp@p_?p(mwCU%$_quIg^7eW6LkE}<CZzIEQAvUtn(kn#E{xG%I?nO
zdDYgcb6p8UxTMTUyfl+QhRwTQ8+X&u&X-Z3q9lw{+CPtNzb%O_m1S2Y3LW3LUf3nJ
z3!^l2%RL)uX$)aCJ9bVN*&93sRj-Ob)2%H~;(-iG>(8AgwCW=L=6twDs3;QES)HV|
z%3=MrKO3$V=|ZI>uei}u48(IC{CS)T2)yxa{YaKBmO&Ac^A?BW+G?@92?fM^XGu(7
z(S^s)BW)%T5)d!@StB{1h)+YLisBo(*kp28Q|PWF)NAjZH0@IY$yw*T{v%zy{V5%_
zXFv*4j<=_O{ZxiRk>L3C54y;YpqbSg%0S-p!O6r)6_|<XU*%w-<Fd~f+3l7rq)X2w
zF0rYCsPeh~rWGBj&o=t8Ny<ZL8|i);lcVvhuIu8i(m|;I&3R#~0`9UlO%9ON;Zve6
zR=7&XChyL)m$Hg@*tqigy8#(z$!1<`QF^HPa8NgYLJ{Hz-M9;lDOmR44JPvI<2^y*
zOkBMZj_7Nw)YGUC`9vg1mFPn@^WhEoEM=sn?Ogb^mWG#?7w`228=zUy^Yr*36}+4I
zuXgJ@8fvflWL`Bhgok}+)A$Aw=C97i4Et-~>4oRFYGsXJx2$`iil~ZZKPT7tE)AUj
zR{BOz&=`w%Tq3T1R7H&GgruW{Ci*G%d-m{~z;cb4^2r1>w10abr>~%i$SY<VFGNg{
zIxQ{arlJliQA@#RR0Fi{hQA#Y%+Qrk={xg49mkHd#XJkw0I9^Q>O939Pvc&Y4@i*F
z(8bfU@g)r%X1!bq8W!*;&<~pXli??6oO1I$6^*+09ha3D@H@;Qc;q4(mmY7l@5`hh
zz|%JI@EV}-@UerlH^>M&nBn!-hz#SHbmuSrz@5EWJ8r~~F_GErxGi4|Ha%C#F3*A4
z7?~MMb23C^+q2irlkg^gwMm%O5+*qW!bqn&tXu0t!t_+o((Rb_mu?9qRhGHTE$XnE
zpY;~ptArapOS8wfS>o;lv3+}i8oJkUdk<wQpsjhG?zpcdM2z2R4-Km#{rGC-?w7Kt
zI^WYH=WU6LDUDV+1XYZ=<k%TTNFl`0`JC@&OEhd-tanr;p+ok7z`Fo(xY=vI-AA*;
zSee&&qoxX2KLmAMzAJ+3E&?v%s{m_w>8k-vWt>{?l_E|hLY#a<Z{Hh$7LabILsdeb
z^F*RP8vz%pe)QQV0&AwPqz$PlVum{VB*u*oW(^`C*O(q59qFglsw?2lk@ff0)~$tr
zx!cSB-we3kE}!`BBL~s;vdw2+bE1cz$1!yi14&KNQP!tr5EOUzs{cE7$gUaI%D-;`
zkuwEPhh9lR<*i96$({|`YF3iQY!(O$uA5sUEs2GKc<ZO8Yp`vq@=CvlITjcn5(m@7
z@lcB`-YkU``C-2o$IH!N+T~ZlsVatv9G1uNI;?Olc>KhVXokPT_SU*zL~y+EU$VCX
zE6gh0wsC}-B5GG|TSlQU%8dt3eR5#MdD-KHfL0SM$z}$!<}&wru3oBkDJ$xBr0-jy
zn_w@QtFXRO2nhv?Ng^B9Ak&=dghYlhD2{JjxW@@Fb^bc)&&3AS&%Li^IE=xXtCnA7
zL4eYiy<S!$Y#0l*mTEX`gnb8Z{0(My!i7=#NbetZEEk^bee%l?FJ{;zQ}zmAI^z5O
zFhNeptsQ&%ahD-t*;+~hAMiuxKUOFC&0J_KXRmZ*_JXi<&7o=qev~Mhj<?+7hIK-D
zqoun6idk1%w%79^es`m+k|Ym!^o=tczv*L>kR;9aDjz03EPr;$<AuAYrx(vYeQZf6
zDrvjSheKAZk43if<HT!KZQ4IQES2sEjDF4s2ddlp9C1N-IR6OuOx6R{IAlnIpC5WX
zp87U11Ze-eZ~9454_|~USDz*DgLt;Gw)=z-x?g;aYhg~2zaebjD@X!Nj(K)ozf45y
z`GaNG{OIT#35}~B6F|)L=%Xi<!l?UoN+*GzjyOl9q5D08kba_m&Usn{KU6XXXRCGb
z=<17^mIwm&3I*%eGy5-HEl=3*h%VZvcZ{rx3gK-rpSD$=I7Zu+jO_GuQF`|}jrLXu
zaYu`8EGS7L=lbBR^`Z_Uy!{f2Qi*sN9zDp$>;St?d-0`rI*8?$-@Ozd485V)5!>A|
zh@kBW(a+HVE%ar`Np}%!H!bT5r^>;xruA-9q7KS7hdi$I7Da%dg5)8lU&4z`E|rGs
z;P_0Ks7SOJ{^Xn~W3VftEp|nQHB1LD9v%}Jc_NPbfoQvC0VW5Qxd^?-bil&KIvGAM
zft&9ehl5DUs1ntEbMB%J%%xLryxss;K&ZbV1q-n|8&)@{px_tJLP(_!>VJkky4)%a
z38yx;-h(7)W_POonbJYJ;)9%Rp0WsiFRWjER~2$c-3Ftei}Fo|DvK*}NMoJbp3$v_
zsE_B}Q*Y~{Xe_0FZifN}l2_tx3X;(m@JlI5f)1^^ytqX(MZ8d{+rn;1!MO71=wYVE
zKMeEjU}1Jtlj;L2;eAwW^?n%VWv>U(Xv;T(V#;v0U0){=Lqm-S-K~O0AM&<J0VP~2
zD7i49A9-8@rY75iLi_dM8>n{T&zuUxQ$P8%x@lq{Ej+BU#Q>jA3UV0?k?=dnFT{*T
z3)%xsZet$}p}LS+9^0e}&iTF<CCOS?d#m@g>nO9kKixI7$x%b6!2#3cW-U0Yx;SbO
zO~AGBrRU>7CT~gKi#R@L;ls6Ctg+Un_}#-2k|RTgxnR*f;RG%0W>A7R95q8h(ia)&
zVlwjiTGhwKHL-#6*D(E|Ip`jf<PB;}PsE%}d%~lMQtkQI105Fl(a{s%A3=fWyDr)G
z9vZ%W?$8YW!@wi<1VUss1>YH2aU1qfG3xWwwfhKQQL@x?_a@WFU$!i`mXN`f?{2j?
z$joEUa4#IBz)!S^Om0)dokI%~J1i~1nP{*tNrHmEg$XzQy(hu7;y<UABuf~}*?CB(
zlfin7g;S_p8E$_ho4YD4;SjvkIXtG0<qw%b?HP&)YgOfV^Vt&RuMFzh71gmeHbBRa
zxi4Na-Zh@;wFFn=U6BAoHT-hwk69s0!<V{T5#MTwhsv+X5A{`HIj3sk5hKp@uybcq
zktGT(LZ6i=l2G`|ns+-%1ToECa;2v%A!ku!8OW-Fu`~_RW#&$NF#5Z$)|PqxeaF{R
zJxbVoCscTkBtQO2t!M=^JLtvE_tPj=#EFMRoI*KFUhN{?6D<c)gw$_2pHqNCo66z2
z5q6yYAX56-m+9qyF}ISw%VE~;ZbA1CRyb2*DiU~sRnqWkdxZ=%BCgixFRU=ww;1KR
z`7to58M)N<SPE*Td8G4Bi;S0NXEzZZS>RgEXwk`663A8RethoX9ODU}XddmKIj+O`
zMbWGn&UNm(eSYX4BatBzqX}~yQa4~%*dhv|!GYr+`(_v{dt2P~nLVQYk+h@Wy)d)a
z780FeW*9FJ7%KF|6zAOd(hmj`u{E^hx!JuLMwmqW_iY-c2o5%S&7vy=skV1JX^el2
z(=-1b`<^m^K`_NURFZ%vF_Q;L#<L7NuRyEgy~gN{3KZa3FMwaUk7o~_nq#os=k;qa
zHO4iAqNS@$Za+G-{B5t$0^?0wkkrnbM)=A4x5Gz`7laz3jB@uPBc^(xWIcxw8okbJ
zRQ|gb_RBkGOg=6%hJ#rwQbG+eE&ARlgV`<7Yt9!$EUYq)7N7s7(`SJ1Re4@HByJ=s
z9RE>IV#UUH{Tqz88Q|)5^8nj3To7Z+NDlB_gOox3_}usUsIxu2?t=^$_KLG=@|Cb*
z@ckC=6C3q$%gigTu7?x*eO3rM5*(-)NRDoMr-uYp+aT^&oG6%Dr3_r;#7U1!w)tE1
z5cc0d^1D_}%ry%!?x=8M=+UQMnJ;v3x8GYz<6wG@_^jEfWi4(FH~h8PPscS!Ra+x3
zE~t1v4A;KGi-$Hpn>MfLqG4I8W%4T*EUUV0Uqv$gGaBUOepMINo79|bVz^NguN>AI
zC5Q?h(X)5;brJcn_P&7iTBKI(-=Wb?!0p6!iTk^CV0~ioc_@_!iaJ*h+sq4r<U5(P
zd{PIO<JD&S40%E2_BrmQFO0i>JU1(Jb)Z=GZd5XW4}9I?S13s$`1L!rf$z6As9K6v
z5-<3Xmwi;$Z%P!O;`VQf%+<zjXP2uY7J}ICso!54DGuWJxh<ChwbAsvcCAGivj?kP
z7KSAyVJRb&!EdaMuEP9#hunoQHRpIWpi2r`4vSI6g4&Q-mWfE*PJ~d*;P<RD8DzLu
zWOnvxVP`>0+pb_?T%t{gWEL}f{rcvN<Y!ti4<u=Rzb*pC`jJK6eG15mi1X~euZ6ax
zQu%>zqG)Iwc_E*uh`C=8goCA8Ah^HJrkRUFoa(v8wp<Buk3_v}ziA<x>xa&^G6`_M
zQj2SwRt9ZT_klJMZA8xB+f-^Jg|5G`Mn^44xYE)7g?+O&rYBmSY?+pZ+|)>*-3?U)
z37y$=>$)~>bR=%5sFX$D_Hy5&OKM=FcK*J&qz$*Q$47>*%OmiLxR=>(GXC5DEUi64
z2jQfRcLm-u{hAzm<lcJ<-tJ9SH{sWXYoDRYj%Gy+_8hm1)1tx5!|hv0jV_YxLypcf
z`LigYwi5{&xOH78s62%Zo6LC4qvOihoGPR=S*Hmzqw|sVk$M<wdR0`yPJ&&0WQY5p
z7Vg`mxSu|$k9>c#u0}~!bj${%i3Mrnd2Z?MFZT^_xpzTbj;w~q@~#F(@3cYoxJ~l?
zZ3yy#*c?v{b^O{;emjLz2m5(sE-+vWkDliH*A&Qj^O^NcfV2)=-C~SZ^GrZH8TdYA
zi43bf)b<579S9hUb*4$0Awsp_r$Z$La`VU3>Yi)k)UjjfAt_8=71s?lI#V$y=(%5M
zoi-YiS>8?lv%rOl@%gD&R9Kn{DER7Yp|n=vR)`w2QzSNiZ(2jcnTD)z?nDjvzX`j)
zS_h~XO}xkwq~U?ZvjMv#Dvta+<Q(H@iLH*Gce?zdVybwsI^C9x?{@AN*j`&=d-!&8
zX)+bM6Cy8f_o#v<e}q&mV}<n07AL<s3bK2D8qYbY;FlRgM1H3gW;>5)d^2GBtEMZ@
zt3eSjJwx*UMq43}#8Yi(M~2GRZzC7e<WPEPA<Fc$6}+|hXI~kqBl%vpyx2!cT*+wK
z!XIvhl-HGn{IzO`tGSrH5+aJGDJe^nEmkNq(DXl6N5VRxMlSORA>58Pyu>YGg|OV)
z$@QTsIB=|}LU^1P87p@W3^Bb{Z&tapT2vWQ<!^`alLME820v0_EHNB(;oMY(BBHh(
zRr=J*0{(^ponK0p*g1uRWIqMSrHgrmZk%WAFMW3X-Ah2`%3iA=nj9X^*~jh7nq;&|
z4QGjX0>axlC@YVoK_3!!6&e^}BzKmYl9_uT)4MEeWs4-56FRMLY78*wGbxUK@(gHR
zx%0kIQXHBtYXfdZd|`A%8a0nQSzvp}p4!hmqF}2K3n}ye#Mo1PFw!pB92L`UTZc%(
zSo7d-s_V&ChP>m&v16~zaGCptr&XX3nww2(m4ZGn<Si~`s;)6(da*$AN2wrE`HSn*
zSy~xVTMlqOUT+HD`g!ZjK|Uld$4k9B)Xp%m+LpygH9^hIjw=Uzc~GfBNvWiNW*E(S
z#Q*wY3_p#?H~T5vh!Otmo;1_L==I!^oS|uqH&3>#(>7xEN&lJVLW@2|X~oMK>(fRc
z4@-|x6WI|Zl`U|<VSvH!F!<@^4?~P*y|AnyvZ3*dgU0o1LyZ14!d6q(h6u=wz^>1%
zsOqb$dPNvv_|BxFJl_Ce9aP1VW)_4mjQm&r_zz=!lJn^iVFMW5>&kQZy~=3yno1lh
z|BvDJsO(%A^Pe{FEvy(#U14xP&g~-SPBJbJ*K6p_=wWj@x1)c;GUG$bOa0_~(~Q8h
z;bDm&J#g^0CFV3NF*<BmHiVY{W9;G_7Z&(MN7|j!H4dAX7~dym&Z~WyV|>;a{KM`~
z$2wx8TdT+tqeLc(Tr9T85J)>xF*&S@C1v&u7s(|?VTK)lNzgLm{9^b(>j7Q3Et{Nq
z<F>@meC{K<qkombFWqdBwV;EadoRQ`G%qpyozu47H)BOEU-3@&WF3eG_-N!DU1qqy
z^5^KyTm!y`R;z+CI<R9EJ?iPc!pQp`Gbtp(4xys1+NNS{<XX%pT|ThN@F}Jlue-;A
z+KJwGx0$@{Kzw$+2McUV+HU7MbK%(L%;KHhT1e@8sD56C6+Mz+)H_OR(O1}3q^_U^
zF+y!<-z+PHkERcQ7Ujiagzz1%P))3()cZf5Sc3q$t)((L{3u^<BNp7KflJxj@`E|p
zA-0Lz_*A4IHrMA0{-$YQU7p=sya@-61?+QCpCiDZc;zxRg9f(k1D89~IMJUcWg6>1
zgdN`zZXQt@_QwBniRR(Pz-#-c>o0||_Knl_gbXT-tUoG#$X^Tk!JPA7oJFBso6g^+
zMa4V)vc0<w^5TswmsJUuIJ~PBopyetz<EenY{8EoM^g5vq<ohE{Y1)8M<NC9_dVa2
z6)y;dSU;QEUMc(%ET3mMGWYi&!ApOXfc|0mg(!Ae6xv0X{YRz1BD}}ML6ZmteFpmz
z7kTWe_)NW{KtZt9whu<<gfUI;Y})r*0U|?xMWVDRsGtTdB(D|4h@$c-Zwn=G-Oh`a
z^`ZdXA6hGO#NcfnAX%NSj8%;@;yHyBw2Wli5WOXkfAjvxPYMaFUsvp(kg0GWHNQ$S
zlfvu|^NYt{sN%H5i)4=$Dk6iLgK|t{K;6(&Bfn1_(Hvc_#(6Xp^wvggc9#Rkbg`Mf
z9Fx2A3S4SWHE;;s|JiR=K(gB>zZ<<&)N%HFqi|?J<*k*;+bBhx${J_*-eU6KP(0=0
zCT$dWpFK2Lp@h5d9ZN5{Yr)b%<Bp!O4(?Uu-gaA~f*+F#FPGx9Q9ffbe0{Sn23a^)
zFF27P^y&@&S{r5$D-66|PNw6*Pl6^TR~0*RxBt90tpkHLr>9%T^)UOVf9Axj8i@bK
z+h*c);n3IB_CC@8Y~1@D8W~LA$;z^g{M1DOo7etmk`WTbp1Mgfd#c!~n`@gm9e0Or
z{vQ8h3_FFAl<dn?yq;ur80Dv9|AR;23vW#^)1MhWl}f|6Hq~qDuXW+#XGZ%{V2*jS
z#_=={4R9TLZD~Z;MIdc7{zd`=$tOJ@L{4kqgs<+O7Ec|#R}1Hv$N{F0&^CN=&_udu
zLx1H4ZQO3T>CJiA5?;Rrdfx8QM8KTr=HH_lFp<(e*`aQQ3MrrY27OILbC-`F9;e`D
z>oCEy+6tdb>QoGBG!Sy#L0hX>4V=dVE{14WV}|YP@L^UBe0Wh*F6*X(;Z?CJ&IoI4
zF7!WA!A?W^x=R!K%L?edW?$xY!y0e9m-X^mnD3DiA1`}K8a1N9d#bKmBazkDtSFF-
zw%A;ry^*3&5<k^39chg}>mB#|45*=@$<}%Qq99^o>|XsfvxXGM%>!AMs$gU(`B9uW
zaVy*Bu;8c_*uTn}tfr|zsxk8LHo_7^JMW(V?IbJQI>xuo@rx4ZGP#ni!DEcNT{-FJ
zrL3^kD|?R`SrLbiOj#&qzhT&G)Jsd=vxJk_=jX@S<nccM009606qk26*MAqr?Y+KM
zviBZed;1(CA}cCFwuVBKD5SC@BeS%OBqDpHeBKSS>@;NNC$jgB$Mf&G&L8JG*L}|Y
zx|tl3&wOqDj*q2mnAFMWL-a7oR6#!v@LzqnY#;d-*Gv4NB~%WuEfYC?y@v}(#wn;w
zTbA&u+TN2k>HwS%#0vIzIe>@Alyky-4WDiJBy}bn16ipN&s9e@sC7=)s?6NLStazh
z)iU(p<7i=o;35lj`nDDd{@uhsolJeCQ>6>j9+V^JuP{PPbg1#e;4Pe2tZr=Prw+tQ
zn8aazw1A)Risrkvg;(-!?zmFxz_K1I!n-Je>5KG{W!f$L(Vaf$U>$An%xopbCXqpd
zri1#?lbblX)tKZ|uokc>sXusRy^n>IktXZ~Y~Ye})s8lAH9_zaZ*Z{qHnt?UM0z85
z9UouHwmeRy3Ex8o{DSVUVUwbhEkW1T@auVp>cUTHK#~E0(KUJr<7ZiD@4dc?e@jaY
z4SS^y_Dj@s(Ni;+=%gQqTEYr`it?$(GPOF0vguM^eLR8vE{GF-Q?-nH`#dsEJg)}H
z5eeL4tfLrx%2NTK%_aO&%-0UOPE{z#4%N>)^9{2)!OYO&u!R5kHJ~r0p$Zd$fz+je
zpRo_q7i#H;7x9c`>#T|b6-X}9O;)w2!wz@ToqiOth#NTMd0acJ0w}2Bvem~Jd?Y=4
zN6UN>x4VrNOp}!%iLd2W)ujf!_UY?VeT_x@+t_`7YI<c@zIWYUx~UcC33%+>WwMAT
zU;ljkUYrt4X;i%Ay4-_DyHHWh-dM!Hr|D<BqgR4EPLZO6yx;KeI?0XCdlqrkdNS{@
z6h)A(N>MKgAHW-D185}8m++w38y~8;6@k-vKTf-37{5Fdf3<UZ3I9EOR>1NF5grd}
znPX04c)9DFO6AgJTsTh7Lrt9sr-a%jd{2+#ae}|5bTe1*wn%}9`ZNWAlV<7qrzUVM
z1ClMt7pu6JwoSCxdwGx(lz3+DFp0D5y9OnVtl`tqKkDsQ<-ld^UgW1sfAL+Wcdr8s
zHt>)fCiPo#au9dxNASb68JtX2Qp=!s6Hhe%-rRXf7EUY)$7TJP!~Yol@flCq#;?rr
zChAtmKyPD)R-?coKKC+dtuAsGPiTKT^W~p3%=`1cr8&QZA3pC@RaCl%J18_KMp;S2
zPr<F!{MKdM%<2T=p}Qo=#qLn&^%qjm^F86S)R9%3<<iP^i6K%na<<XDg;EMMUnvJT
zj;-PD#~#=?*^;B{tI}Ip-jdK*z$~Mjvw`22w;UW<pg<h68o^TEB%mxzD1J6}3%_r8
z>y2s+6(W=evos%-famP!D9hs=e3lq|4=bWU8RcK)dOwH*ug+1$@ZbONf;H+x`rUMh
z!m{nbXCraAs9oc!r$B;w)aHZ7Wf{>5Pfe^<ml)i1u&#89Cq-hHZP(SBn9+*_i5x)>
zF(A2rx4wji9MSytQ9W%%K#D5MV)CS7Ao;GoGNOnA32A7TXO6I<<L4KA9~Fs0`j3Xc
z0avNe&7T=%mowN=|2D@^r>iJ<&pkJ`^`=2LrS58p1aYG98>?5Yh>5}%g}MnWnGPK)
zdt^=>#f20`M>LbSMZn-!J4&5qKz>0nXF@)5qty^v-}}Es;7xbS`QKs8C_DYzt2R|W
z<Z~4wTt-D8AtkvqP=bKgTh|83Mg)-OgI8JSHbmfAKlfq7a#mC*bk%FZRR~?%b^2B(
zBMQwyHqSmdvm=v^C@Q)|VU$YwI)n9&C^)<7(itmpA_B!l8jr`Kh&Sa^%KHAn{O5GU
zXXLn0RiA!${&{iq$YRd8x>yV>{7$9>+H#|Gijd6^Ye}^DCNs@HK^&U)pSJSm^P&Qu
z%?=eCX%r<`+rd#J0eLBbspf(L=%cSgzs&_%M3c2ruEZz>=gdX;ipK>}%ZK@K?j(71
zgU+V3u~8a)yQueKj|rn3M`20&Gep$-fLx@gMHXWFAClKMiJ+<=%cc%rMN}G{^-G7S
z0HWN^>6BJt=wI|<#=5IYNc`Bg)q{N^yoKMtI(~~I_3u+Rx;>Rq&S<r~>7#>theMWK
zHzbi`6Pu@_vI?5K`p!zkR|P0P6{hSnNu!rJ8V(wLDoEE^i}h%L8n_y7PDG^3pu!q=
z_Y5^vbb=T?tDma@rtZ6helj_fO?ci#Ypse3hd3NBuV}%gch`ULnaLx|3%jYiY^taa
ziM4l~(uLYLA6o~{C?HD>vqN?_RM3@(RL$e{7}R|9-S^-kqG2x<QK4JP$hf9N^a`0i
zj7e^|_&XAjaLlKNA0(BKQTkw%Fu?$vFa0`ebA^Z^Xmm?sZW587$u%td-$7mS=mqkF
zeNB|VWU&yHLsU;*y2dsdf|yw6dd?vtBKkC&1}#e>w~eyLeila1%RiGXWvYO5ghY4d
zGewcB)pHZq7e<g>b%*9ZCVAvNw4gt3B#5eR4o)BHFam4g03WM(S){tSdbso`7b4a5
z8Grb}2q=WJ^cOx$qsuY3W=G0c&`@CFf?J{yOvn)A-i%11V3A~2;%{=qTqaIqt6>CI
zANx6G`o+<nkfHu!>>{qISVq&>Y6#muul@S>RuqkzNe@PSYR2NOm(#|Y7=i?`^TB+M
zFbZsnNzIF1#+=w$WV0I#;F!&Io)1ZaNF$$_rn6@cdz{pg_(<9SXsbi1^7#3XGd@#(
zmp}pK!u5%RS^9AK8QjjaJd84Dtx7wuQA53sM6e&NJ{)Q5%dD^CK(xZq{}_5{!8l9v
zx6@64cWozGzPqy`Kby4p6?=O4sq5Tdx^&?CWj^m?o-(0!a_o1CHUo$s8#es2tOuu(
zMH~nAX;9^#`Ie|W2Drpgb+(8^58mqiSI|68j&{;jyZ=@)fB@|@do{N%5bm6$wTa)u
z-~9G8dK1S0<tLfay+H?@kLlEY)n3Pa#;-R8>o7p$z=Sx3zcwWBl314|&fyKUH2YJ-
z^ib%i#$Hma1)MU6d5l#@@$J>$Q=Q@TFl%<%A$>s;_Tn;Ii<#cz&-0}Wa-`{jgTt?C
zS6dSb+cF2sYuhlm@AOV;iVl>1*xG0$YryUp&#OyRqgeLD)l?Ro4yrTQ8LDU0LGmSU
z4HQpdyKYBb+E&rQLjP^A4GVQ}SJ2Q|#TGHMqyHL;KGT8!EqnWiHEM9$PI76ecLmcK
zIQejZnjX$OF2`Glseu5e<jE<%4UAlhFMZ3K9=Z?TIN$d`70#g!nlOcJ%xk+x=fyfb
ztS8Z#?X#)EEyIwJIre{;j!vSr<|_uEHSpP~OjQA$d$IIU1N)fkPnW2X1V(T&6~FhJ
zO9cd?VB*UWQc%06c@KZU1TATIQsVNI;qCE>aoY!E;QxF&itZ~j{O-5MtCW>NkC9`d
za+Vz8Idz?*pRmBd>ziAlZAx&T|JaeMMwC#=G_TEjkpT9E?zJ>tN>F?*!mBTz3QXmX
ziey-`g6yB+_5>;=c+#e@-b0`PF*Dh_16FL%6?Z$_qEr!Xr1{9}CegylcsKe#7ucam
z?-lbiCq;0x?$50iqzCr@{wTLT<pB8e;NmPn5o&y<{7@SMJdQS5f4s~I#8bi+uR9Mo
zVN&v3-909#CFKo_^WcI{Ix)$isYKXs@Ah9-X93V)sx4SK3{K6&W>PmIyvnVetJNgH
z8SU`e-8>#(yL)k(MuP}fzw+2uSg^uF+E0?+fqW34q9-15m<TMV^3qNOvcc$hpzyu(
z0&tf))YpTG2rl<duWpvJgT&6Ne{Z88WJ!)ikL@b}{^!589~7LhT9S88Z9oXJ_-Gq~
zsEJTR^LvWK?+_GyJu|aGDFQhsvquB?i7<bI`jNpB7n~V8H6^7l3Kh0Tt#2C>VKOZH
znP37p7|}FYSl$(b?4|HF_uE9^YNTwb#dv}HGu5#2h&Z&&iJ2^R6TxgkZa<fv9~fRa
zi}mP8!cYA<QWkYZu$CSh9GDk?kF=V0{7<DI>$z@zUbP~umpa9?t_Z@#F@?EB5*fJv
zf-BI^^5FjmxcEnI3Bg76E~6nwS%{ts^4TI&295-(bG1|=u<1EOFIp%E=O)$jT)ry9
z@xg)pA6%l4+u1W%F(?o6JjKVwKdL}%U%haJtQfSnwB*Br0#t6r2<;#6Z3FrFDH}a;
z7&1$DGw~+ENB?yBd+TbDx}S##rV`-e*Kc_d5ure@HBm-g1BjZn{+T9{(Eh!5U3rxV
ziIJagHYR9-ki(Mgj<OVx$)?O|kto8udnb(_ENOwJ_#(DUEe*UPwiFbjL}-P9M-k3C
z5Yn_b#_~=YloNSn!;*>MIWM|B*{%yBGhA^37BY}CN!1z1LWKIpP)VX32A7od9d8_P
z-@kJ?=4%Ihc|6+C^o8yLe!7X|1Ww67J^L~n6}=oZRvf0R?gtpG5WdhbBLnt&;jSO3
zWgx(-FUH(KAI6y@`!n9iz|<od@zEAZ_}u*dZCi^zT*z8_Bz#f^;w+0J=$yr&BvXUs
z8IJ)3vNAujJ(yD~^0t=$un44JH*Z9qFo3WBvHJ|IO92mgg0jXLA$a{QZtZG-0hC^`
zp<AVr0&kkt?){&9U{UgN`tdabP>8%Jv$7%qU~qNDSNkw9@Yb-4dKkcfzd7alCvh;l
z9adht!48k82)09729V}M`sLznF`%jS(B~B-fSO|-k%H6!a?7IfD~Y0@dVAd2CX5~e
z#Zyuj>+~USla;IWr!dqkkK8*_LJ0)5u)RSqeQ4Ydso1+C1m(k7N9#Y6fV4!I;9EL<
zSpT*tKcpxKxz~Q?v1e^zc6X!r1d0Gcr}gJ3zwyD}pF#2c>MK~~Mr5kAF@RC-_@ap?
z4~UO@c}`}`Vt$Qc;_~k?;QJ=VAk2OkvNcbTwU|y|fAqt81J?AQ>WolW>R(Ryq_#&M
zEjx<!edzDvm(hcz6!#9vNp^T#EY$I->nG;DzefGoLl^QThEFLnu>sbQ!uQzj8)kgu
zQQLn{b)bx(v%BU@fIUB&k_oqd>{sUa#k5gvuxI@*>sL85+??FmydUrldsAVdLnE#Y
zErn*2gKG>xk|@tY6#R)r^1QV6xvT~1s-gEwqv_zioqPE<>ky_`mg3xvYeGToyRA#E
zH1Jo{Kp7_;!!-Xhrj}yYgjcG(@4IhOfujZQ?`wnO*c3;$q`Qv>oN9N)+=nPY{a+z(
zCHW+_SNEjN<+C~zl<PF*29ZN^j|?mSxoJ#>ghGK_ULDk&L*`^n$>3AG+&pn-4zmT1
zWVv)T@ISt;(qTagGHzB}x`T_Dh!jQddlEJ1?iFTDyG;ULEN@hYb}VB%ihom{Usi=a
zhg_GY_xqUs5!txb?p3U@)9Tav|5PBgTejd&_a2tOYQ50>XB{isc4Z(xqXLFcr;FZ7
z?_s9T?y3n9wy+$@J4>g3Dgz%hZ)vpu!-|dz)H&GfVEa+0Xc|r{gY<>Z^-RV8FzU$v
zu(FbW*lGPd0fAv97&H%gTGsXt^ZhTtJ)DgM2z4Q$5oZtn(t6&OxyT;&r>acL-i;JK
zD$UDHFDrrr7iW5F^&Xb)?Uele0~y?1y?N6iLJ^vsTj=V;_py7<vvDO_6tGC%96NSM
z5$3*ZTu}fL=&f)6@ZmEhoORM!y<bLzcj;66UB5`cuZ{AT+I4F1+zlOxvmnB=0trUa
zR8j~VVqSJJriJ>S**kqh3a~XI%wT(#44T619=5B|gRURf(0eHbpr{^f&N)R6qdb4w
zH7yxokZiWtDqJ3X&*nR^dQpI^O3smjWM&w`t;6X?<iOTi$Ci*v3FcV%1%6Tj9IGvQ
z@x)XP>@qkrtbbDhMMJAui7hJxeqrtz#ARV(L`1gf1Pz4$$u}|lzy|res|&b+EY!H=
zoz9=7h0w&EC(2eFFx_iMeYH;pZoIko#pM+}xbHr_{&SZTPFXVbp1C3ev}<{%o@FqC
zho{q%gbps4ZF8{{5tV`3JKGt0rOfb9>fy_jkKB-c!;QOoQW^wZo}cC2VF8XJ$0Uj|
zUZ6Fy2((Aia9Jb4zgL45>>e(yHAo1+nYh^0@-k`I_{R6XGldOqP?e0Pd=Z3XiSCAu
z25IPvs<@a&%>fP$vtd*`!k~QH&rWti8oo;PRK#a<g0FC4wnn%J{K<S+*F=;7j*jbz
zvzA;?RN2*&x+w~Ej$L0F^JF0Z?PvEqVQ#ql^z4zQC~?r={T06mvf#lZGb4Y97vkDI
zeWFDrp*l9&<`eUQUx{19UX$gAafh4)*B&XbGWIl4;E;z$Q!$!fh=TBn{PeVUj0{xd
zw5@NQQaI4j@Rpr}5NMoh@1h1dSU4JC=H)|#8DXM}S&A?yJhvr(u`CarXLVc0Y!o5r
zaXHPgJ`w1ZSNVI)j0jSfnLm;^E5S7DJ}(cS7=-zpQ4eKMgp1-IYj%>9p}1bT@0zzb
zL^dXjUZ_(9t*U3|zfGxtzhBqe{b~uI8GdYsjwnHi$E|m(XVqZ3{mvn^ElDuF$){UX
ztOT6eWNYPA8X&7cgT=~9gI`E>+37JQ=oEMuO8Y?*s?1)Bg`3F0HeL0{#)G>WU-meD
zHdz}esFl|k^ku=NS(?i2u@dl7qOsR!b>Wf?v*!N6o@hAC=8O(2L1-6f6slw3Zak%x
zTr3B5Z6QbB99M)73i}y0Hvn?7(vL7O$ipQ><~?mngcPmgA1qDuf$NKBXRwSsIH-UB
zxkr$PBKpr1wLALIOijrxK_w524ZEXR$};fceI#94iUAC<XVvp$%Yn5j7yUe&BoK24
z{Ie(wfs^x>l;*4~@ZlegLVFJKIs1w4H*E|-I3~$TY)=Lrt0+7Xi5G%~q%-ftLJZ+a
z^^(!tcWJO=U)mpg!wbPOMRezG8G`9M$DY7DQc!EN74aK!!bQGDty(WbnAjjnc2Y|M
zg%+VL-<$xq3@Xm%Di}h>=jw{k0C9NRAwHTpLvx^$*eDn`05_A)sevz|@TI&ptuToM
zrUc36YoZKbnDAFDNl*m-V=oY9WM09(yU9H5Kk)JGpZ4ss*MwlxcG-z2F^pmB9ID@5
z>VsOak<8pn0jN90FEpX|25*}WP}Ek|2fL~jokvl;AokS6VD8!&{>qB$dD|O+my;Iu
zZn1|Uzx1fv2+b`1C85bP-2mY29w*21I!@p++|giaS;Akk$r}^1FmUQ}<%!~EhtiYA
z!@NgVag|BIQxD7ZAo0a#QK>Ql==e-5-ELmPMJP|lKkU+lhBBt(YO72zGcKmTdVL+2
zP%Gx`Uef`7Utdp+1v=Q!8a<tGe;sds9$yzAq62rgD{96qsKI(7?8dalI=&;6i(j?Z
zhN^X)`zPor4tV9RVO`=HKB=>9|2Rzx694Fq77LMrBbFiT^m-N7pyCS1{;mnJ37tYi
z2l++J#@FP1*$OUf6|~7JqzO+1;tKM^HZfG($}W_@jE@Y`WIn&F0n}|eu;RCh#r6#Z
ze#ltDFMCMvZ#Jm|cPvSf!SEtBa%rle@ctqm_qytCwV*n5i@N#K1kGS|31P<0dJDKw
z&jp|4TWYZ0cx~;;`UFP4+)^SKF^A847#JB&s6we{#T1F?7}kBX4yw0jaQEdy#AHiV
zu#X^97wP+nh5sdS&3`$Kvo}1qhPNsZaXAS4b+#9~kn|=g`u<=17thB{VR;pJyHnPj
z|E>j-lV3lZP&0)G@jo44$X5ntKZ^*i^L3c5u=2zl#}uwGv8wl-PZ@4Cb+~`9O~S6Q
z^fnunP2x5tXOFvND*=Ujcd$+GE8J!YlkAV2#3TGYqoa70;Putv2azj{IHkAz)t38{
zxOjdrk6ex-NMc9iamp5)mdnoY)Xz!$V^w*Xwv-~w{-qCou-}1OL}lDswwuC7C^t5<
zs)#_!>2MN`^x|<OC;MHP{^H3oMK|RQi7?gCH7nxLj}K?p9sa!g7ymjfzuNgy0S2EA
zWGtQgfn(2V3<gDJ@Vw|<U$;JaSQS0jwcz>-w;Ld1YKol2DZWu~E|JMY+54L+-VVdK
zSod78h0r`s8WWX!Mneuf4pYXjydK3jJq5;xcNXwxy+a#uS7hO7#rUqQ-fvtH<2G-h
zU&6_~{Z2Sl$p9Jm_6w<@aUB15O^#h>88^K_m)*E64JZ0p`Z@1U;KxN{>UdLD@P^7C
zHBXGC;lB0o1zz__oGrcNSR&&ZUUYtvcOmoO{=<|X`rG`)L+A~&BC6K$7u}V9FXkoT
z*mwTb%jakCaYE2WeB36!^7yt{lbIw;+Kc`xemRHVpovMXOy0)D1%7B-ypjNdVW`<Y
z<04MO(i)J^xr-YdvfVt!CIPt|t`a@&OSrX|+c}M+`*@5cq33(JIBb^~tUvp<j4wJ4
z&eoHXB3_q>5Y}Ze;K&S5rt(?Ei!2|%w2mM{#y0xeGTvff@#dBNAE|Xb;e7iSZ&?b&
zuQhwyZAugve6?<e5H|65q@z^JBvdF-go=;GM--&~&P2LPZsUeo6+WtzG-y18mnm*j
z1Pt$BDDTQH?!t0iazU34og{fE?;S4!)%vEijhlP8+(S)G(=rCs{AIVvMqC8)Y5zw3
z7$!l%ensy_-I$U3i*`NMc462}9f^tXBtsK=scs&!1T+#vC0iII4A$+>dgoavkit$_
zLt_Uk;{V{)Z$T73@SiE2^+`%J_|J_dIEx)6Q%~Nxy(R?L=9FK2nxjU;l_*~^nG=1v
z{j-s+O$Z|A82kFf>Ci2z8dOrpg*ar{-l>%c!8vbIk-wP-^BGoNdc(nkEYEb2CFdXH
zQfZ%kMq_3)Nlu}|Ud)FKD}s#8D}>+`<p_^H4*{JB@YChj6GTLb4NyJE-&Xp@{I<2M
z=(9p$u0XR8Dypk(X%!TPho*IUbJy7s<ZQ)P_==$JG?hiGcwtzQi9cHC#ffCzYF_fv
z5JTx<48p4dBJhPylQ0p=g&w!vikK6YK&DY6&7Bh>Fj6XX``LSLRHdkp(jzN{o-$|_
z%>O3}99B9dnyP%rc$W4LiLDGWSI(O}CN2&lS9Fpjeh8qK0q4J-N|r;sOvQRRl@bvB
zgH^5bgb*4oyPMBAq=3S&{gvhazity4dE@(p5s%{8V)jFds4Z!g|GxnlNUNjioc9t%
zA7lrp1GSXU&+Uv*ELI-qO6_9~f(hC=OUFR8QbzP$R@_JXh~USq5XM|BfmFI;qw-8u
z(1=!8)chkQ_*6Wa#Oo!6ED2P0vb?G&pVUn*@tF#62E1;jWtKtBC3smuttwjWUg(q_
zPy^QaaKB40WKsO4^fM<0HN=-JHQ}eP3HQSZ;Uq%xsPwfLn-9GjIxO?<4WUgNu3;w&
zq<j=mXIj9W>_Szfd18XC%vldS^llvW&?6!`Celx~gDR+W!=LAEAb_c23rpcMA}R^k
zZ;O7ej5-3Ls=r7ddMZ)^IldE7vpm<=89F6YGS3=%^SuFZY+kP08ziE^xYHZzJVaF5
zlydKFi6OlIYZp89nuw+?-0$-IkU_Xb|8do`MsU%!<jij?BGQc7QTJDnKu@Q26D=o<
zppM1+igdUF3NR&i*1IZ<xC>sDypcKrS7IvJsA=TUR9Er8V>LYJ*KL*}TeTxF+!z?d
zcvKc?2~!GW3bLWS61rtO!VzHE&wXiPC5=YErEq-jqC!3k&sYpU8iDmA_ish=lISY_
z`PR$N%eX{V@$vYRMzF6rn)GE|3>Ef!2p-z+z%&Im9!2&T0!MH8<KY?+RHe|YZpXEb
zg)F`nO2!N!KIcRNX{ZoV9Q#m1YfJ{AC@nj`zyQ?3*|xvu@FQ_{WeKdA8feFIZ;3G&
zKqOE5o$?TFl*>+T{;Go>P6?_qu3piH$s8}H<0+gdb;8Tp{s|N8r@f!Z9R;`{?R(c`
zniY8vhIm}HS>Vp6wAeaZfZW-eUP>IyDEHl}R&omqbji`_Ph?|I`FU@(=MN34b#)XH
zU?9M0hHC;8PxWB!Liz=D6LJ(2`P=Xz9|3O9k%$JD=>luSUd;=)T^vL?lok*AYfpQX
zhj;0K>?Qj~fAtmonz;)_&m;>3%U?VzvZD>JGR9OhwkGfe-pxvZdKNIT@{n{?(uT6V
zqJZ2#UvTzdr)tkQ7BE<_=o7oD1)lyckCK;KFu^q!E=?B}c)mj`mU)o7T}54*t-p?8
z-^?v23osVAM%y|x%%%xqMj!iWug_w=vbbK5Jj(&Egq%Bez#HFFm<TJhE0_eg-=A9t
zb*EwMt?5^F7~y}r&31MJyHYQe^i!V&Ub_r_^uW}iaq^wfX^$Q3=waUtT5lHkcztSD
zw_FXJ*o{h8Sog7=?ZB_fg)DH3u5c$!N)40~#ZI0#AcdRDWP8MaEO3!KlTEu&6>P)9
zU3<pKz}T2l^wk9dw1tg0a>}Vf<a?=x;Hwl+z|uvhGEV^IohRY~bt<qY;zyggO$k>O
z-TBSpS%K&ou;Og00+fsm4<<sWLAk1t+((}cO2~W%7e<w#;#^g2(LWlPI}=tYKwyXe
z0RRC1{|uLBIM#m@#v^-VZ`t!Po?*}DHcDtHn<7!tqB2qv*=bNwnuMZ7D3y4AWrZTr
z@RwailI+dj+w<aF=li|xbME`2pcfFf7^#D>o9sWTW4XY26<Q<n!g!ujq(CU@;8VYm
zdYK3h#&1jZ2ds!-IjX2Ap^1jCrln=&CA`SwJA9rhD+buU4=y@O!yz5A&&$1hXpp^e
zx7R})KdU8A7Msx!Rj;H@O6SLjJI@!<VhL0xL`w=W(co0+TD=@6fO*cLoo;GU;1j!j
zGw34~m-`-QjK>JVbDL0}P?<C+_r!Z+vZ=U~;q~Qost^vF-Li>0D1$@R0bH`NRNS0D
z**RArjBwkvFPo+1pez0OH93fiM<Q;9*SkefxO>(yT2LMqdSd?=`>9Z<xfHfbNesoN
z?{9jDD!@l9ac1fW6=^p+CPX8|(Qdi-++|fo=>Mlh5?bva*cmdpWl#cpHo2=!S}Q>>
z{PRdqJ{7m6N(&4Eq!3-0VDbKtGSqDE?K;&>h3=uW<*a3CI67>imEBT-NMG_m9*KtN
zcNI-P9>_pmx2*SVvnn35Qzech(U4?2<MfFthq&69rz`C0IQn(IRdbn!XGc3j=fvc3
zoj0_mz?cNnMiI!I)4@c?n^+cB1r)vTO%U<Zz?{?LIel$igjtUni_R!u<t<h3#A!{)
z$}8Vv9oEIBtN_mDVMWaAc)O9$Xu&}6)$#L$9$v`yC~odnLU;(1U-fQn+`B1QEcR3%
zPb^2*@;56(Vc_J1o&*`61a;Vjiwq!D9rRf8wF=yRy$Q3wOU7r9I^Cf<LmcarVE&t~
zia+<iny>#&M#5$$-mWnt<gtC$d$>mp=AX1pAC8fcJX~Wcq-=sqpC*s!iL1jd!$mrw
zfQ%ZS!#Cr1nPOjWPfAdcI%*Vd)n1Y%BWw4xw#`*D+}k-%4$~xozG1jK9@_ZP9xwjt
ztvRG5XWsTlldx|2&c}1YT96AhT))^sN6aHJHPr$V&VfbDHcJE9Va6iGLBMs_+U-xC
zk&wK5V@TJiI`+pYipKN;pR}JkQ4&db#A>O&mq!idk!Le5Sy<r4&=r$<8VL>|8ez(;
zDtIe4SX!NIfrpjXW>!|`%=}pXHET!_rgf!n7a6PdvGa3Jxz({Tnaw<+P9A?LM=h5-
zEbwdnlYm~Rp?2*3zW?^g;=^8v9bx?zNTANMrn#!3^gjni{eCIbzg~Rz^*;+39r#zb
z&shb1E!s*wPsA|J{nJ&Z+yb_y@(x>}jFX49_1A0=M)k$ctxqpmpsRbk&lVXa2%oxp
zIm=i8Iyc{|3OZZB^1H(W?I{Haeh)PmP~gRd#m#G5`7A)OTpQ?6FORdyOSkW)abTaw
z$#(a5!1BI0tH^tD@Xw#T5?srIQNgUTk4FHBpT9GU*2=>4(;Z&TCrsGi`6GaTb?sw*
z-=f|6CJhe1E>-cMWjagoa#27y9el!75u_SP93D)6^Zw~Poq2a}Fv~l0wAMQB4*x8U
z@v-dEI}<bXd5&M5lbq&o6;BO5%q)f@MV?(-rKjm4(bf~yJIrvG_@>q7Bm$9;wXz2}
zrs&JMqPe$kn}VrQ&?dJ*2%Jw|Y}$BZlK$LI&%$BY1ob|AXXo|_!aa>%6;e7$Z{8I^
zJ7#JEZR&sdzA6G(YOvhRVLL_N%vyBFKh+qzL6N5xIQa3aEsa0HWSU+(^`BMHZzC+Z
zPwrxsT8F+yjrmWJGxQVN&lANqMtH93bB$>)4_ueRQo32^=vv#yN^J5Cam8mc>G>Zn
zY$3IiV{7K=PxI~!=<^vO_JO|A$ETdQH*Q!Z@M@9%u`;zVF5CcTt<1EhA8_Eqmm9An
zzc16rlij`b2K8~viWEE7%8u~;m7fJt*5K~epwf+=`mnH{$#0~wgNJ0?Us%h8#9L*R
zWi5IT{m2{mu!0Rv6w*tE;9B_4uG7!hs)yz6l9xF{*}(ERthV?l3j*(6i5O_qg>2k5
z?w2lX@D4fSeEt_J%q8zVDR$IFNo;xk7cVvhJKL!<0@?A#pVybaLkEjWKB?c&vtg0y
z>7XXa2?ig_b<u-5$a>~1aIuRGvRej^EH<wChLhd({v{fe4}GUey09blP>Ec59uLgL
z_VVPX(ZJ&Q%YJ&49q0bkc52^ShvYt9%@i697YoP@e;;!othIGe)tesydQW89TB%sv
zH0mXHffN6c-UX{h3BV-PJ>_Er73=tvVkc9$5aFk2`S!UW{51=ss!3Gr+9-2k{VQ(l
z8JZn>$|MXIxl`NJyC^80Xg!+B#*3d7|9Fe`ih!!B$r*fu0_JYViP)3t@bZGfuJe7O
z2xK^q>+PZ->XH96m75=G(Xo4{R(-&Fn01So8U@Xf3i&@r__6X}GWvp!B*gbyWW1Om
zBc;5<$+%wtwSy|sA33C<a)V)0Q$z-j)$P+VQ-TmlkMbE^S`UT{ReVnj8R0ME^rNJN
z;rhJv^)RO#YRBtTzaAu`K#S*xjfV&#&An5?l;vTnbFS_65i&adO<C9#i9&d*2J@Ni
z3J@MG%$d1JM*O@)i=mP@o|&FDi@2Z&(v2r;E1SsBcvd2Ou}}g=#@}1_d{@Gjfn45g
zk`$Oo$18-oN}+N`!NEw13Z~*m)N*%I@X`6=jUw^&NE+?9u;q#>c;cI#+uu+?(J3AZ
zpOC>DebS`+k{SX9dGyC9RIELt!KQv(4w^y{C;1PMQ26?=a$5xzHU8oi$HU~&B}{nV
z`mBLdS36rg_OJSTPiyzTSOv7~Oki%HX@N`p-?u;7I_O|MBe*j|5nI-QZzWP2Ie{!Q
zu|m3NX{cIX{Y(iCT)i($o|3_Iq^sUrR1bLL_$sPi8D5hv@AEt;AlwH0-s!LURA@V=
ze3uGr=MULSRZ)<nz@7H`m;u&}72XN|t%@Hm!$zBUsc5+#rS+@E5FeA4D~tNo;J1C^
zvC-;#zVNFFS!)}^Fy#4}z>n%Et5>Lcph|`63$ttFdnOoZxTeK%orKrP8;?bfQqXWU
zGWv+58P3FKyS33Z(C_K0>K8|Wbjh{jr!SZz<e&70><SH3F~@}MY$4;ftK~tCF*+=N
z+~l2Dr-{u6l%IPVYh!fdacsH`<R8gfIH#$Jd(RgKV>fG}qt|Jj7{vm2whq287uLj~
z!Iwds#YlM3^Ems_V+(Mp)W;RpXrOC-QuxqgRTK}lJgnifgc!>~?{F&()OCesj>{`!
z(eZ7}L03y~W?fYfy-32o%4fD^$qJwze`Gg*))GhaL-kD_slzKn?&+>2S;+9+;8MC`
ziS;a-l9;m85TRBmR3{+?Pvt$f<w>h`E>E+_P*n)2+}uY#CknceMc#=3OPm2^(m_WB
zouAfN(fkCVGgGRZu4jn^z7(2Xml9^*Xqa^z;KkK&()KH37I@dwwU8OD2%%c3;|d(?
zSWJE+*`H~Fn|HG|gvl#lM3zDAyUPTNQ;O{GH(H=^K#kH|C5Ppsr~cG!o2NfF4bK+p
z2SyW1PnY$`ATLHmw_^PS-QE1hJS`gdBY%JSp`$d+L)HzPTKrAl=F$F3N)kA*t|D&n
zmjv9OE13(#^wQ;7LQ@|5(V=%o#3JOj7<hJzt>^pkoo;CE*v6l34khJDN6XV9xcI#4
zlr-ZL-Au>s22Z^iz!sN7P7p$Qyw=@d=J#~%`@Ub^F_~d^gl%F^nE?DgY)Eb7uA)yu
z-(l3u6q{yT?0Kd5ap<<UnOI^K-BH9Xea#sYydUmq@U-E@?%p?3m(RbaN8X%E)2cSc
zvOH(TzC14YcDTwWIyKP)i;_Rb^Bd!;Yn{HUGY4+R9w@PtZKdb(vSh6FF~UN5&}f4#
z8!|q-o<HT+M%N3^C{2E0h(?ve?`5J{Q2TGt)x@TY{%q6w=w*IG=!kZ5U!7*gX7-bg
z37>lD8)q-48w433ES~jGWG)lF9!n@^(&(q#mOd91Y}Lm#3E3;VlGd#H<BubW`9t(P
zyuN$DR39_Uy4~$2EA+|gop+r#j?kM&M5E;L_28_>ym+EwiT>`(*?FHc|LEQwO*=&;
z^-x-uxNYZ^MS6y(YPoN~I6bY15ly?K3mZR~D?B9&^rE}*_U3yg>DH&eGI?|8f_!3&
z*JsHEy0rq|gI@=y>A#vK-zCNAU~Hb}R>iw{x}&YZ?sZACbhU!f=o~g36dX@`ap%E2
z{rIv)5P$hR{o`@dk(^{2I<C=Tm{<Myt;CdKGxrjm^ikw(tS}85^Iuj`r55NtJ4B_5
z!&m4zlr@}|SyW7qpC47pU7#DWm6cYrG9mazcz73;3VVO)lEgiWblUL3<t@I<kh16+
z_N$>FvH41I_Kqbw^BZQ~jo;Ve%1Y%*mlp+wjZ?XPA<OiZ_0rp3`m<s_C*(ujG#Nvq
zhh!ZaR_H;8Sd)5%*`cZM_@#{D>OHq&iLZIM23sn0oQ?W8aQd&z3-+_xkZznk+H;Nx
zC&Jb_1bpSffy7Go-c~If8(>&UCNM*M`bUu4I1g097jhJ+TF`oVXXCfbwHQ78UzUmq
zA9_Qn#va!+@q@>9y0VQ0r4>I;r~k)~-OfkbjW{&HfB8&Nlg_Gs9;qBZO%p`=#m30%
zu^K4cv8b>4j2-E3)g<yB2*KS}!zr9s11j@dkJ&qMLe8%8Y?7%6Y&fp)3gwXSY2$H^
zAF|vCWA+u!oDhYe$1COUwj^{txolV?%8P;CiRpkQaa_ETry8|}gsL+q-^rWuA^pVZ
zH%={**bvP>Bv7vo^4^o_*XsCToE+D6f0dsUrI*hC%~OY?+A*;lK0(O8{uJxuBD<=4
zgM}Y=)nVYs;og5#2$#4d9nX)*;kJ9QsmN+BmlSDpVHp>OY17Guu8j)VYN7beu1_7y
zu6#v_siMf*@~&N{R1stSeqT!rNcd$cyXM1oamaI)=FFHWW81fpivlGiSbrWX`nKx#
z#g>x$n%Yzl^nv+g_AU*$JhzCkFq8(*BCCc+q8euG12YwkHF3<tXaBO745D|l%Z_d!
zVZ&DT^|{-$P}yB>k?tr5w;{$GCtgkDaLTy*<!B@3x*6wz1bNI5yKF<hX(1%uoYh>G
zf(q^6Z4Pw`;8FEZlf6ksTQE0Uxd0W1*tXoS7gd7MS=U#-_bGU$SonHCg9iW9^%c8U
z`E#Rfb~OU22s?1iiZ@UPvVLYGk<}{5aktZ4C%3u}+B*YO+jYTxF(cheS`8N$>}F~U
zXqfq+cF6CDKIG?Z(^mr2;lwKB`%_p47cyOzi<AuUFY-Z^@qH3PYh8c+-JpY%rWHHi
z86%i{-{Uk@tAX@<n|2ptomKr7dQAN=LH>n;?32}+urYg~<u^>j>y{^S<T^93Se;H=
zx~hdK4Z~hN=hb@jWzCc)babdRRhnpN<IldQp;=*6^tgEFiIxMWd!*`g<F%1FxV*8_
zg@UY}wP8nBdB<44-?KYI8*(zqzNBd_th5)D?AvIGDzR6=b$;5YPhnc<?;+vZe^I>O
z+buD0C2?m+zZSIXt>ZN=sbWXu?ZB({R@f0#uN5n=g)ObtRBKr!MCZ;K7hSP}NX5F}
zF;bdH3R7pI70bb3=?VAk5-aS~9chdBvC4ybMln&%l87*S(Dtp+3O|oVR@)v?$F?lq
zf$N3BFsFUWjXiG#9gp9cU)ojidQHCz_ttf&t=iD@VY3xRwr_{~Y7RSF_=ws4Dho2F
ztbA=|EYZJ4#iAfo34Iw;wVTe(($^&H);XSPiJm_TMIT-&fbT(5j8xDsx{g@+kdvGx
z^tU$T_^rqR-QwIo8Mhg+yF62j^DMA0y+QF{whVZNvpQ~^?PaW_YI)t$w1A+fz~!j}
zQZUHb#pB#N%20@$-f3D0Q0-3s8{Z|4q>{*v^<O3#-4$mVmULI!KIx!YoE5<=-;(oI
z<5`AT>dJ>xC+O(W?5Xf?7ewFt0oJDd^NgVtlkJaI^N)4mSl09bet1l@zCW3@z-T(g
zwLjva8S-r9+Z%j%@YMiMK(N2^fcKL0B4aG(-9MKmQ>5y}?dWvn089L^MFICBqd>7*
z$$HTQ2NX=7y)I_KNq>{s*|Y^l{*qQUKh*?6(mpfUflO!(^kuMg%rowL?0dfVurZn|
z1{UTym*}2+!;NVRbBz7lJoVcPjqpWJ>Eiab8Tvss2Z`TobBs_Gmh80)hLCm9KXuo9
zg8p9V^zAghSw_pLbHs6bL)bX#T8Fv(rO&-f$l0PW!>IZAny)s?0L(@1&H3^J^l-)R
z+IKfiGu%chIqog#<G_Bd7rQFE>Gbo9a~G4Q7)#xX-9=vd*cTFUO5N%!-FsKyF~#4L
zj7{w<zR#-kVE%lM<HV)+bdxFL`L@H847P!#ZC+$O_<hodip3+ksY_irr`ROp)OpUM
zXYc6Zx>}9fLGdESS$A1~-GK>)r%Y`2h=48}A|F0d-d@W%b}#+-=B^2bg;)7dNRke2
zkxwb`D6}v(P4`R>txPZ)UOh{jX3@dX>W{)Qg5MbiFQQq)Z6_Im&n{lw7E8n9nLMVr
zv<}9tT(z-XZzdUQeeyf}*l9TC-{Pg`+rzlgIlvHfpJGUIJYtc#NQH3cKNa`RK8EiJ
z^0c|!G$So><H%ldDoR40Y*4W2XWW+E(^D@v!(i2OxI<dKPa7k=`JO%)WSmhh-aAU2
zWwbBq({>q9Ao<0n)1Pyg@m3;@WOZha5!~5W(|3)GuM^s{njs?$!Q0{;)r<2CZMH^#
zqE;L7_EOw|6Qhjh>eDj6A1^YpN8aw<xU7W-mt(JyHjXhoLf7BCb9tFDWcBXuaT6^R
zr`o(6$sT9?ND18f$ZZWF#wGJ>>lsb7>s~rFD>}(Av6j<Mif1B<{?)P$)oI{I!9<W<
z_7tN*xT8Vm3o}ukMT+o}(m?OWql>efXBe;ZWp7#Aun^wQ;vCzKlW@>q?Y^n_9E1Ox
zE?-_3D{<&_XT+7y>bP`gZ0I!S0>k`$qDNL1J7M&p>~5Q}Izs<8B={&VF$UH6Wg1gB
ziDP@VMyz|N1|PR4cCA4xjE8C$_NqVQCX7REW}nKdq4I0JNb>9&!tlOeE-(8!!lS`q
z!sVVSjPcr`*O{4M%{+GLhCM&w@ga9@t)?pYS=EM)eqKu)(PEqSEEXX4X4{z$zg5B3
z4L2o^2eT5BCthrgF%u$K4y#f6_Nc%&(w^Dfl$~&IsptClN0>O$`dgD*Kn3~sfz8d@
zoW%JPpZqhcM2WWvZo=%1%6P4y(_6ibo9Md8oRw26PNchi%xS!-j9V&l1CH6e#KXv0
zU7k5f;%Vbnud)bb=ye~y_EVIfSRR(!*WkIHVB4_r{n~M5s4eYqt`8R=ZYRzZq>sxI
z1;0<56~-t-_Pkhp#-bpR67r<%ySF@1-D7UvSEvlyZR%uVmN3DbYUc0Kt3a^&`$rV5
zD5LM*nWx1EL<w2h)&S0EC1UG{z#WGW70e1vWiPpl6V3x}mrt9h5K5f|ryh!_LU_$L
zpV1&m!lj6jZ^^Glyc_Sy^&e4%+Ryz)35C+c->;1Nn~Um%47ap&$13j@-H_8>7MCS1
zco<sCFKQ6OZH0lu4kQ>%5EYD8Ibuq3?<-dhZG!dO_rHw48elssW;sMwAnY!gddu@r
z2-f`<X@Ol@$o*hrxOh{Mc)P7mW`&PRxcM7pkVPn987dy?7EvZrJo`)yIcUVrR)>H$
z2dH4|;`l?&P$8Pk*p}0WX@vTRyUcv!G`Mv}wDHKP5jta}Pp$<z#D<#US5pslad^Lk
z<oG>xV%L#RJI>hX65+qkaX!7QznY_VYca$%2=AzrOQ#;_5`~AGYfZBa;o~ENPobK`
zp}410;+49DMo+HaNQ*Htw^)rhJ<}p8+gnnqF6j~h`_^8O7dAtzK*Y_iGHt@&dZ}TV
zRhK9j>7KmlOvk<z`z_k%$b^rC+Q@qa9YUPd@o>>wfXwlVafyRMY*^l!TscT3?CwX#
zs#ICPBV1PUha!b|nW83JxSK-wF9si(dSD6KA-NhZVG6+~X?5IyrbVRvvfsJK&kB35
z8#c%lk_kJm`6*jFb)p`6WVs0|TpJtl>g&-aXusz}`1O>Dp^={gvkulMKWV}iP^m?z
zGG0yIl94BL^CP1dPg`ToB-~EdOOwbqahkRBk|h2-{_@IlwJtN%am=fNM6?}heJso;
zL~M$w95HgT#w4rTo1`%{B5`}w$L&iTM6`-~UIV8!1kN|rHnFM_yrmmzSQHi*2WdO6
zhU8j7TB`d&6NfV4_F{k2$vs_+Eq%o^G1^v$J>L*I&ZbCorls@we(R#IQOdj!^T-k$
zffpl3x#Wp|VkJ{+6DR4KdiJz`@|KuM=dY18ks)$A8=3eGmgz=3(rYBrEuiUeAXqb5
zl31r_;&iQq8BEjnziDt=pf-){*~=$JeEmXfzGcM<uCxkv_ZUFvActRGlMvBl8Z%Zo
z&j#+BAu~*C0JBo%J1mX-#OC|E(8SJxNWSI#mbG-eR{Y1%7v~`+53uzuUgiM*cbV~W
zL36yk6t%`nkeztCJKgAI1qWWteRZtUGy|i<x=l5nnRusupZWa*4oqLwm`U4iio|w*
zewY6i86UJZbk^+UK+FY^lnYTNP)ptrNjfvdFuQpB5`&uqmhx6l*1R&t_-n<@EiEIA
z(|PyCKIgGxUW<F$c-{zJyD8gKczYQGM{uNT6FWL(HaA_eGD0g)K;O7>BO^nm{SnU;
z8~*kmNb<RA2=Q-9>0;ea=$XM2c^)NfU~Cy{Qu<?n=@Q+tXV+Wl!GDdc`OmY#NOJy>
zkDUQdcBn|Y^!3oI`My=jM6n@l{w#m-Q+?!z8L9mDZjdg&GEozJg$>O`>36Ed^|9GA
z-M55el+L3vWMlQ74T$R&bxG7iZB((;=KbUJTDPJ*`f}{B3`(yeuLdT$OI4Xdl2h~#
z@yEn-Z?WUdk~qIcm@b4^o^OuJouOy^Qm-p9=fIxQ7)Q-%9n|?>v`H43rw=XajfJyw
zVt26fvcgFnya@d9*f@BR&a*RFg>RM<$HaYjIoIl-`E2gr-}TFM+oTkFo&Yz@PJQ{-
zn?i%co?0Q*)HRU)Dbkqf%!5;nGzvqJ1}(*k3hTE_sN$4rh_B{__4;eyO3SD)*jjq*
z{v0!yUG@yf`|_bQ)5db#jfw~9zdI()Sl}_N`_tq)KT=rjo@6diaQVfpj^b2SkP@Zu
z_g@o${korVYjY@gnjbu2KfC&mA;sP;&jev{B3J3)4hjs8xkd?wtm=lx&U@#85Nzg0
zJB-*VIIpyj?7+>1J@5Fk=Zr+q+4#HVLmU}zI$6KjRB(e!Ct8Z~NEDlnE?|k9jLq-F
z2lP^T(Ofl1x?n1fV`t}NobPGlPU@LFrvyIexgQ{|k4j+Ik-=<lJ8ftLXbS&n=7&;P
z#>T2@DJYomZ~e`>$_aIx`z9w>=RR*A>O`yuPlcET&nj;v6}#nZ))s=3_r5vnZdsJe
z51!B>wD8B;z3ku_VQlsxy9f%&LyO-Lyj5EG{jf6P(U1s67Y<}jZc@NdbGAh7uT_4C
z%C#{*B8Eu%_j5Z_74a!Ud9qba8(;OUeL2=iK<v1dw)3zODx{1Rc~iA9b7I@U!a7N)
zkM&<SaaO@1$77)z3S@AZmYR8FN#o${XZNpsP=$k_m(frU8S`ujoY$|);BcmB+4n8#
zczLu~yf%P>d*uaXGTY@aC^UC-b1Mn|t(ErVUZ$Xo$Foe_PaXqAp22%}O{6dN&HO5$
zLjDa8_nl}3uw^YtUHz(sgAx1q$k8->(yTZg@IVo=0;ER{7G(TY%?&d>u7g*1sdm9F
zN@&?;MT@YZpe3Z@c4oXTlGh#j)3dA$W;->_*ft8{L_b7!zt+R~!OzN*s;Y?D;+#3M
zjf&lt)!&rY8K5*Ovygj}8YC>4zGr4r@n?85%XEYx7SzozymnJZZCS6>(~nem)9sJW
zF&U$P_mlUZ9VEnE-|5^|ONEEncbVQa6L>v{Yg8p`VCh5Dvhf8fjA!qXqR3`YQX60!
z`lW$qGbPTyB&m3;5*^52Wsa-0#0`NUO{BfB{23BN0hhWH?=M9_GXJOD-datV4(0TZ
z%8`*UTM@D28^C7Y%ELaO3H_Qazn9i%p(LyL%Dqqvtlv5GUw?xpLNh~3T2e{yNV2>%
zy=Z|*9@h{2A)1iZjk3QssEYabZ{zd!Sz>3&phR<@2JE%2o+hnVhTWIX9#@}P!sr0K
z?EY%5<YQ}nEVHVgGj7MVbvrB}`AMpuRe=QZ%^N2}nPj1~sdvwX-<I%;7!jLT%_C;M
z_jxj2NT6iY%Vu(wXEUsX3SvuDSGngE_h^$ac;zME7MECpzkbro(^Ul(MF#HM{P?l{
z{s-Uu6P9QlA8nKCSHh;~QBPxLPPF**C;ZZ|#Qy*Q0RR6Cmxn)=eH6y+P4?b<JjP@1
z`&c0*MP^pYh!@EoAxVYIGAdaq$|#cN{ZmG=B3U6sq2#ew@%9g#&pGFFopXIJ&nr^p
zya5tG_HH-&q&)@v=fE}Z+;0SqS_zIHNMf+uNzTWSxQ(r?(+ZXc8G!;t_<DP^D5x{l
zzftfaVd-p5OJ8Y>;L~sMVIdJ=knor{b3Z(dJwD-hw6qW)O^`yF%trvEwXI@{?ss8B
z>9&8?2mnYUW265QFAUp#`1V`01aG6@+HAdm!Q=1ON3_p!L(JN={3W+e{2)PLm!rZE
zMmOH(a4T{G{Vg`xBC*f-$ifMhlYIuT6zdiFS%@9z8+#I>^ha<<`>KQjas!yZo=JCK
zpB2i#w%hGijp8pC7$3W8>BH6X^^t3A%wTw;J(z)f6kq<%61^Cr2kE|zAt%Whz<aCU
z?yHwWxS6WWlw*S~44rh-cw|Zol+85c?~Dg<d;dI_^j#gO*ce%;9Has=p>w}F26}Oq
z*klJU3mq_?Zj|PFLID>ODi*_jw&J@7-_G1G)CQfZjpoQcGSGkc)%T-UBmV2<!^09Q
zT3}x6^`_o!4<q9dj<Nbp#DWCmPTsNBf<xx6qD^VLn3PCPygSb`tTpA={?}Sf7;!rg
z-Xy+_S=ih9-cf4DQg0t_XyVd@Omn?lTAoep65GTDuYf*mKc9-Q9j^h3`|{!sJ=U?}
zh3^SDhC`S@QbI(;Z*>@)Z#?e5xr+IxHnFQPjbmdQ(NoNx>TvCA`Rmb7D;Q_ulFd{9
zDeSOg@V&wzH7Gs5r0ux0j7@skziK-^gX!JU$=^Sw1|9xFW=y8bSayR1zY_KXvpa0v
zFZNLtj-AhU{?<jpe$A+acWNwP93N=U%pX&QyN#8ymy<~t3TUZ0qQ8i(8%T>94H1Dn
zD51pWED8I0Iej&SK*AyzOwV$A5Ml2%XQD+U2`j0I-AL$I#xym~DmwjA0V>9WgB;Z)
zj8bio)D^jksfe2m@5ZQr;rG<_C7NaIPr=ZTx8XWA(Qq_$l|=<kGZ4iqFD+x7<-y5U
zg*UP8I<m5$L(1SZog<YawSwL0Q3!n^w2gVDuVtphDZzuAX*(C^SFnNAJIxiai}k4u
z$|*ckgmM}2dmSHFvDkt*_UN>~nC1!Q8*ZBfxL9+}L}hFZv(x(=Z$(K44dUCqN`?d&
ze{jZSooNHpyzB3J+L;_g8*+K;QxzcS&`*!f)0<dU`1|hC9tx<~pTEyCDG$1z82yH4
zx3JO=d7`dfRG?=2rz1p99umfPHX5^cFo%PVVe*1B&~9GmB~~N{SM{mhM+E-CUKJ);
z%>AJS*&w%_AUZjaw+M<VkKMy^iZ18l^bGKMR@SaFS{C|aLj6lT$RIc3wy~T!6R1CE
z>wLK`13!a$%>#<b;qQ1p@A7jNP^9DwUx<={kpR6oEiy`=+=xlKRnH0^X$<vb=wzT~
zJ4(0nA{BJFpr@Mh?2tcpo;J8d8ZNyO^i)@%0qYlKFDl=0fd4Bao$Z6t(4GFVr{!ON
zFDk33*DrDbJE<>NYex#IcVFnR@6y8u<*gDGe;#n8iJDk=B?Ts8xl1c@Ot8cIcQr1a
z59lq^#0XhZ@cLR(c0@W0h~8V9TX`!0CwXljM@LCP0<qSfl*<a=&93LgY70X^xJX%7
zq!cjcHQKe4vxALbeTd6BQQ*5f=5;swUmZ&xxv&flICghf_REwQJQ`3frt6e~jMCu&
zG2ntdYNMkbffAr=7scKtEe%@=v?~2vJOKJ-ep}p9un=CZap<8m%$ptcw`AvopRRH@
zrbeY9=)2SGTQ?b4kzSOX(iDK%KnEU^CRsS~>3t)Yg)AJO8E~+_Bm@kx56Fif%EL2v
zf@4>p90WAWmR#KtfyQt}%Jez{{MXD<JU=QA<UX65yobdgV>DBl3s-{Xa(cg_Tmo3%
zo?e1#aS$8IY=7ge0!>!aE(2vsfQ%jgdI(Fxjq;ITZyzFf+lA)5O;Lfk^-I@RZb?CT
z&Fq$^lPd5y6+HL<O@!@ZA7xp^WZ>Imr0k-q8YFx#ZY4`m14$k?(?j=V;V<9A*IjdJ
zpvhD5_=1fF?6hyJU6+;z>g%~wuLISACF1X8E^{p?Zo@-VZYV%1?a9~5P3pj7<0Es;
zO9!ZVgAeh{5nwk&BhK}?I_TXdzV9m3gQGzqoAMk=VA#UCbK6%PLIUx>zsC)rsYj@9
zon9H*4nH0p#ns@N^V1d^W`LC)O0{^T47<6!*xGAVXuK(OS60{vco#oSOLD8g^X=lI
zihuJ;uZ?gmavK9|i+Vj2SAmGUD!-c<%1~YQ*RXfd7*5}?FifIUfw#$hJg3GLpt&rO
zYoO2s?wc9RR|hLYD#gidjVT#$(i_-p;57vv&U;)f$x5&lR(lF-mw*K4rX-IureK6*
zl5ZbT1d<NAax_c?dV3xOP+T;H7h2XYU-T<L!BY6=_P0D>r4zkzGsG1Bn@W8*E+!9~
zeiQwEPgvoZ%;r})15@z%d9vfzKV6jEoS^I(rh@Xcyu_tB6OhzgJid5B8ls-FO|)>Y
zVKSXv7ro<5z_OwHhPb^X_?9Rec^yL7W|)w0Ik^dR$y3hxoDc_gk0>XC);w-o)9m&o
z#u!2(d4GLy6@{SGWFtqhExgQYyiR1<2-36M@8Z7&;r#sj+^F+ph@JJhkK-95xJ_7C
zNU`Aq+O1m-npKoY|Jn%?`!4|MDSvA&&U3-=2KvxDM~yC%8sz@i0rYw_o@K<@q2vs)
z>wpI>no|96bfN--?&-MB)cXgZqv4jys2&|+{7E61T4M+=hb1nV*f7A|*6Kp9Qabd=
z(qGQA*#NpTJe{h;s3AqXq>iJ34n<~E`RjkxhnA#kwH55-pb~V`qd%1n#Tky%->21w
zh`_p(5ZJ+-R{4c8F*?Ly;Ty59qX$2%>t@aoR<W~`bK^fIX^}F2+g^5<E=<yr^)b}W
zV_|EfWvy|vh_&nqPwjIZsEPlNjO_Iorq9esNi9Z;LN@GvKcv<HhT)&-lJw2kY1>0;
z<ezAe>98u_ila7MUrKa#l6i-p{!zNeQAmR(>{QtPKGA}>JloSreIxinP_-Im3=N8<
zj=$x?p#_58ieb0)X7E0(V^>_GXwcdgFL`a0Cgis#3tpdEz?pXkBj4xIpv_3LN0qZ0
zz~xzQ`6-5kzZ>tJhhZ9IrQVRm?4SXOZ@GK_JG_d|2-Mlx=+mO)(V}}*-Rj_?wd}*R
zw2uEZ7nj#=rA10tPA9oqszXAwZh%tI7XB=FX`VBb4pl!dJ<0Mx4H$J($%2P=aP5$n
z*p4MV>eGFyQ+HGis=9hiiiv;m+crmx=`9$LyV3e}7*z$Q?jOP<m-q1#RyA)EgBX!@
zSc!DIpDHAgt_*iBk)dB#YW#Yenb23(eOLQEB7}V~KDZ!8fgBHuYUBV5@>JJuV9Y0i
z!1s~NbXQ9BZR6?l%EbfdsDVNis}>P9o{TRXt)N1qMtdrGv#coD!EN={mw)%X(j`~5
zPmQK%sz+ZhvY|X{v+b2+6?nEcGxR5b7Nun}8RfEaAa91JPy97iV8U#FJ8zi|=^3+k
zBpl^L{HK>n$48YR{g$<Lb0!0FPT703|Bwsu)|g*kvsZ=<C;WBO5hf&>^~vv+3=g8<
z3k8d5CFuQ}Uim_S1vTZA>P)}mMS?vVo_ZIQK+mmcV4s^69jD9q<#3T7*+r2U0|`n{
z^-;TEOo0s@%e1%hIxUE1?R2<Xe=9=jFI!`3dv-MRi=9@}Ul_@+`JOx1t_TV85h;5&
zInZ0X<BUUAqA28LzxHO6BB-u@snsHJA`|!Ga-J|TWWo^fUad_LG6hRp_D*r5Yis#)
zI*-Ls*o5b@=ZYfOdACgmlX#H$Ql4Gqz681u<xVSLqy!F}ne^TTd`OieE5*QF3gywS
za@#g4fpS24n}eGG8iv9P>^;(`)vk`q`rjVpxvX@JF(E`)N*#8wltm#P4b`peDsU!;
zg%GbNg0$(5rKxwzA;UmRq2swKz;PzFqWgg;DsCQr_n(~tGPhh4WmY9ZN^y@)4lag%
zXF3>p4iix9K=&lwKYyt@=xYv>;wZESb$8n+p_`SfOFJE^kbG>OU`r>7l$k6qwbd)5
zTgl0J6zyuz*u<!xs4j(uo0G^UqgBu{t)$)QS#_ASKmV-ULmFMJs$Tg<MMUT48X62F
zHDUaQsY^qO47we-5wsmlL{B2TTD20jV3fH=t)om9y_2?;r*0ym;qk8(MqAn-pW9We
zRU?O9BseS?d?F$$$}@T%NxBehZFCR6E01oweVIb9h^Vu*W~PK+ADABBuN@3lK;NQk
z{WSm8clb5+$+W=$qGGs5>G=t0zG}ic^rs5y4B(gNH^ZQx*VplUE&)l*{yIsitb&&2
zyE<|_0Lb>!<#k30$ojSbjK(S<NyXa{hAc)<dLUAp_6Gq4ylYqs0|Gicbxe<=!U(dT
zpCSuuBB1WgiFwVJa>)FJeruY9G1OdNS~IsMAaCyH4c?S8h)>MUE+)wsIOn;CQ>qk@
z`>G3{7f}+CC(itPp2pDH`&Y=bPab{P8~>W^Du$Z#m_Cip8UtmmvFyluIW!&{?M2cT
zLgEXtZEf?$&~Tlc!#!UXac$>dhgo=0T@6Q1L%%U7yT3EEu#iFg_kP)4JIsNWegA|L
z%8fxh$!E=CN(xQs29JK=W<f3_g;z4CjKP4Bsch3<5;4LG_roe0bn5udN+YW={P}Yd
zJ3|sjEi3X4o=#-Qw{3Z&vEB%h?V@5n{?onVJ>2nt#s<FOr@>uhZ3Km{yBWeLL{Ua{
zk9Ae>Pn^CEuDQ<u#0Dfg&T9%GzeB}E1mYMzR_(xjDgr=g(?sOqRep3uSi;`D1jlm%
z&Awcs2RPEmctwno7csaiH9k1^5;F>JOLW%8pzc@GC;R(cXp!waPub2#%!!<quHM5C
z?)I6oKZ@i)E>Y$e*^Gv;pZryve(44f8E@4n7|DhzXcG%e&W>V7nFphe;rhUJV$_P#
z>Hy*k9BQQI|ANU-<(N!u=mGVC5u4(DMr0y)x?^~31jDDU+gPgW!G3_ofqM+}h;y*$
za*ON`w)B@=BP~J~a@Kn5pZL%qYS*l)J-1I7>8Q-~b)*9x?}Gh4uu&l;3xgEe+uhjU
zLxw@g13Iv;^oci{k^(VgQdB(id51Bvs#f!QX~X1-NL{KH8H$cSy?T!PG4^o%*mvS9
zEhw1I`j%kx7w0W>w1d=}xcl+u>)QNU{{s1X|GVNHoQpF>w5IVD9vIpfxEZSnTxCk8
zEho0{R$tDQ_?-^?e%WP$!Hfp@O3@n9dvD-{8vT1z-TnBD+riCaM>XJcwe0Wy_iMPf
z&$S`3{9)WJ!1`h}t_}(duhL|~S8?VcMlyZ330#&&`R6q?b-?={QjK`8;Nyh1^p<SX
z_;&sJ5xa+KkXPF$ot(Rje>2GcS-d`jb8K=&{gPIL@CLP+tZfn=yrr(-Joy6;5h?c4
zsZa&GnvnO>StLA*cp>}7-~t{T;qzTWP8C?J$m=B?NO(gjkATL+B0lRHcR8<?2*%RW
zg@P6&{KKoAD-#z;xO5AP?L{3T3~I&vHS;9lwiOlKBEl;;Z&UoxK${9o(xK3>ViF$z
zYBBb~$5q@sTSWY#g9>PV8S3YtTE>f;6$=v!*Kzej+4%mTGW@60K*ycBj7#fQudc>#
z;<b!I{OQ!nU?@&OzoEW@ck>0^O-<g$cP|oR%XF1MaOLIuN93!xFwewop}JkXqm*n9
z!WAJ~>*2ZT<yCz4=q0^gsy#fRXQRl!i2x}-sy|Lquj5yjw<9x5$<XHn^JrCa0&Hc>
zl0CpSaF01Ag@_VzWTAK8xYkAijx7fs=_}sEwcI^J4+>JEoYW{*y8H6L(x$9ms<4fV
z8wu5UHc=ss&iTx9RPqokwf*SR^bTI@tZ^miAGho`5bhKG<iKC>$5L*`ADpL{Cf3c1
z4zX?f<d%Mx1-S<m53hgQ!&eW8{_=}vK<7ub-)J6^1^iR0^7%qClxCA}Cj5>GEsIAf
z$F<8q@JWK8*c3Uc7p7@*F+PA!T})b$ww8g{l3XF)7L=%n$1(fi9xJjEO7da;Dh+q4
zNCASMsL+^OVnJstJ4(!IeW?>84L2paFwaXg=y8^rP=qiin(Tjde^EjjHXq)W&UdFn
z-A;RN8ozU)nM&Tg>QO1Ud{c1F$Cm+>e!749!7vZ{SflH3xI_v}gMKnSD`i3y9PjIc
zHu;ba`xU3Hf4Op5&10mT{QzS9(vvB2P!Oq`&BY$_kphEC-+99cRwPZRPb+K}Mj_4J
z()IyTuqewYapE{TQf^TjQ^Q43=RgSYMVb^u-CaKS;Rgq@kT*J~uPKh6FK72X?vets
zE0@#X6>}l-wEW<p4hdviDNid&l!l*SBsKkb9uzKooX`*{g-%7V`PAal@VwHl;rk^%
zBw78Sm%~H`<poMm)n1T+_RrZR<n;o`qFl8kP+AUUB*`zUg~>vbaN&j+gD|?x{MAlE
zL;>}AJ+fG=l7oX2?7~~7qDbr>4_TFrBC^I8{%*)90QRwY+dp3n>3Of|$Y?7gcw=I4
zd5r+m?F&l-f5p)cfsYDgWh$tv5qI|ERR;U3Z~hd7NTPV#-~qgZh_1PtGRk$U0PUwg
zsS7JosNdepw>Lu--Int)4Z&2QB&*LgHA)5vt!bQL@KQsJzUD4%-_*dx%<4$ZzAU;{
z+3hrYKppkobXv@9(tt2tn$WMY@@UuRwawyHbyRTl>}AL2TA(23D#7_f0c~aZGZ(a|
zBNxXXclO71fcD$wnK@NO^kVBV-+vA2=w8&FqMUy|zUe%+%xR~Dx|6o#JZ#j_<tE~F
zOLs%)x128(HB?3(M}zY1a@3HSO@wyVVF1ZLPioC(m63Sg0r}H$s%WZhBITx&5!8mY
z*1Ql=L9-FA<h7hcw6Q<&M&YnA#C)z$e<ZGgp6{N~@BN^J{#5VKec(5NjqPA%iB)BE
zxj*zJiCh82nD?%1y*7c9(pvAhEtSzQrMXAtmNZ(mMJB>TQ!vy~8qBp)LYB3AOYvXC
z(Xiy})Y*Ue@y5R27@|-_6*tXYrz?d}M%H^EB%4Ct$dD->rGRwFe#cL<bE9UL+3#@y
zrod=(lKbgvIkdm3LAG_A1yLi%EmLJvcyzy#^~snFTKEzncR+#y#Y9WaOb(cUX6x?b
zM>A4r`uH5V{MX<3cFp>i?$ah9;7M3|G%bOG&u{ON>Rw|XgY5eM{No40b%o37(_)A{
zV%^y`YY9vLL!s#FW(-y1ZyUNtM9@x4S1VSzgQ*&+CrtMn!RGM6_C8KQ)ajBpToyzQ
zPtP4a!eMR%#uX~|BMH1nsf8o{w;vVYg(0W1Ujr=6Gq60B;zE^O$(zCvG~kr%8p@#!
zAk&DLc<9)XpMbNvY&$J%?~raP24Qfmjf0n9$AVty9@p!+L<cg19QMjlhTyBw$LYyK
zkDA||<YfFz2lhQRGrrdifI)<<DBYe4t^8oVbYO@MDr0*m@6_l+_z{r|W+pOpDM+uN
zw44sIa<Jc)BYLppB|azYxrH~?d%4#irvrLPU%3`$J(#9kU9gW>#;g6s{r8q>fj#H>
z83!v}xM{S$9hCJQpUYU$YsjF5hO;Z}$Fg)Fv?p`x3&Rlpjd3B3OOqBN)7t1+zG_2V
zbK$Et=PG>1dsTvLkp`-6Oj~cMX~W>#V8*-cU07bwaj~;6XaISK&}C+50lQn~xzFYk
zSg)DwNM|VxfRh`g@3JO%_{`2q9s7>umS1y@s-%J5?cx9_Crz+8lf!j#_!s7X_mbJ-
zM;bVC;+n&SHVtU`a7vZme;Lz$E73wDKnv$;>BY5mG{7V^^GK2E8a8>ez+3++EwGH;
zBS}40hh6ENQ+qudSTOVS)mA||aD4aEOGZf@cuwkMrdn-dM@p&Qyd0zhTFkUSrcMpU
zTt(%Yp6p@;HVwfVP4rM$rxq`$r3Uq_^Fc~1dziBU{gU%r23Y-T9#8X56}0v?>_XMZ
zfMz_qIDCT<m`C~JNVcjl$(Ytveu^9j9)`-~_RKIg@llpEPlTSN0jt7%3XpyzFJ3jx
z0yLrb%cPTuaAB;)m3@Q~K24q~RXWNF%FI8*nx%-q#xVyaGSsmB9+FDU*q}72W^lJt
z1s13BJ6@*HKyrTc+{_7fi1AB2C>p5(<-%P8=npM;u-{-cPvn4!?U@VL<W(T}mMrz(
ztMou&x*4a|!3n3VB!g|+mBBFwH9b>hgzAKw%(BYdz&AI3jmAP5&a0c1DDN=AK(Ad?
zbpsDvGVNjVA65dM4?lk0{l)^SQ{GRkT=<}`+R<_&N(o%Li<Cv8Sb^k_<s2<3@Q<J7
z#9ft?pylf8fLpn2;9<xUo5m&tH~asyxwWYXJ4$w;eXZ=kf5|iYri2K%gbLl-8B&B<
zlwoYh!U;4#9$l-b7KJ;Ln>YCS6=As7_mWu<7aY=emk1magRaRIuH`vJ7?BaWE4jc8
zww;Myqe2p}Xeo7iNJI(7&1~;a#q+{x)4p3W=Olr7T)iVcS_yJwLn<_g{O}(IMqC+?
z0>S@2-&p&j1XNLZdFS>7An(){A7*nIScqA6y82KVgipp+y8aM?`me3!Ct747CVg1j
z(@X_;-`u;!{!;{KB|2B*E##q!lxLUMs{-u#t1aIt#h{$rhH9Z(0p#R8-sXi9A$86F
zw!4rxgsz~npd*TqB6=mxUSAa)&Xr&Mg-L+^K-k>jH%h>i@I}o@Tn&!&24Cp*m4yB6
z`Gbs%D!|2@ZyYVB4yg=ra-q3Wph)k%?^mt@moFCdmmJf8ozqnXp>L!iUMu5GnIsW1
z|7($nD$s<;*O69<Q!+3^^KIhUB_iD8IOi&|rv-s*i{s&&vOs^!oaNqYBG6Uo>Mlg<
zz(b!-tJrNhQ2Ndzzwn+2&n+BY0lglir5_~fP09lnov0*QLWHx6x9p3G^}*(=t`o6b
z0SZ}0_KS>(5X#r8)1_$$Lx)5S`3wp0>&9FN&m$G+ZTjf#h%or#Q2gf9eFCVYNvpEH
zQHDmcZmc{XKs_L)vu>0C=VCIcW^qMWF}^(f$Iu93lB>@j86ZH{_HBij00k)T$+f2M
zF@pP}kwurX39$J@K<>hjELgi={r=d<7#7V|-wkmQ;1I1U=Ms-J*ql_;vdlAv&a53;
z3Qq-yt$yLAeNY1I>u=OFbsNK6YokSHq&#eF-Qtmp76pck6`BkG{NjzwE6X}BIp{g|
z{D4)q0H7nspT<ragNRPEO@Q1#9UPn<ym6HqvPmzUYnqKgC4yn`eE&bbYx!w<bd3!<
z<v6CA(~KdqZR&mSKmM|@FG-VWV}zz>v8SJ#8G|)FWlJYX0tUFI?KECeK}kABmP`8Q
zF9CN<t;5AZ+^>C!F7q$uA*_?nm}La3<2myad!jH{=WqF~c@>j<(-rL}Zv-i%1H^h!
z5jbntyxiIT15-OiaUmE7Xcf5HxbG$i>Lc5Wfh<GVg|)T<$KwFqG|Ac9I3K*q`d(&L
z@C54>*Zf}Hfk9yE8Qb3$Jm527&tlHejJtdl8FwZb!uNdY3r>GI;p59=sVPo<cwAMz
ze+<7NaOC=rNq%LASLoSTSLPsIVPY4cV`%`@VZZx+{$_=o#_IlwsbSoa&DPyAP9J15
z{0E~PS)lO3v2c^QVVu3ZrIh}e9=s)v^H(b{LOf$^`Bm8=eAd30`u2t{RQ2eQy|AT&
zy&kdiUTgz6rR@EW+j_bn!PCgk-bD@idl#K&cY1N2@s$yZ6dhPYoJWc>DB;a46aDzv
zHe92-Iq=GmHcSPYjql}?1C_d5P;SRFoUOKS-cC^)bnmWe#kKBZb<bXX)c6yD3ogHU
zsd7aNj_?>ATkrXU8NAP*{BrpzcH)uPjoBZX!0{pH3z_K-=8$vi%bSQc%-FC*6Ao*_
zjJH!y8~+x@JS1sTFVcq<5#(Lio@&4YDV@W-hc+<P5v1NtHH6jW|DsnC*MOvz@b;vR
zHBA0&c>>wo7^eDVB`qjN9fpHdue)chVjjEwujJ26Va1!@H0tTpAw0XXsk?9mBYT(s
zh0k#YEALTe9!*q(7vXoLUVdH1K4@;OIotfe(sRfzyx&uW*O?dQN1c~3orIL#%;O7~
zPNg-2cf2a--_$s9mv$Lj3v9H3(~FpD$W!J!l&Ua>r6dxkNto+*W9|Vn5@ym~knNmG
z1kvaF0=_>;SP$)J_opArnCoFrz3bdWuv@%J|AuoJljZ4=9lW)Q83<nk`Fkp$VOV2h
z>AQ@L^zTj$oLR>*FNj`}&{BbRb)}Lglgn7V7Jm`rp-pV^y?yw%d}VNsxb{pjZUwXD
zRUF?wyp478iJTPqpakV^#P=Zvt5|?+nS;;yU2JTcUSgA6305t>vOE`C!~O>V0RR6C
zmuDc=Z5YPwP4?c7eH@2lumA0kNJ+LNg?dZb%4(M~BcrlKp@EXD@P8t!QVK;zc9}&e
z`}O_)aF6G?uHRLgCGY0bxQW%3Y%TeL8bH5ya=FSfmL@<uUL{2XK~ed`DN#h=YaNn}
zab3YGhD3<6VYEO=ETLZbqza!7)h7;={l)$h8uCq?qXW$=x|eJSsvuAyz}~37iuHb`
z#5i7KfVYZ4!ul6gV8Ldj=uQ6`wqJqiD4Q`8SUE^jE`3)9sZ?t3WaS1XB1ERfNU}iP
zFYT;zmdbE1rM~6Cn=LHJ(&G1DRW^uRJ$)j+MhWh<?Rgq`od(26?A>oqaeypE+`x*W
z1b2De->JT#g=PHqeCq%gtjkc(I#nt{^80$;5jlErtahBDZ{`MCGH!I;Oc7EPqEy@q
z86e8)<3zY2FSJBN<ahQf0QP_=Txi1tuO~7Y^1Aup9_tT=fXfOX)){bwNty-NC?6C9
zQUqY~aqZhLnhLNWx>U+8$p$8#8JTMlLf}9fbob4YJQ%pfU%0l91I7~-8k}#501ri$
z<zSmU1iz=b9a6>xzQ%T<DV<`lPP+bkwM-s5FDvQ9KI8^&&Xvssb4iHfGngtbm4|D8
z({J_j@WPFR<0+@lNyBJ)V$*V~Je*}!=<Lto196W;m)Z##i0cp#@7k7!XxpKKPizFh
z?4)`0hX6SU<UZX<>!tuw7FAa)<b>d~aad=GkUUrzX|GHVDS(&hRQP|AA}|!~QGcsX
z0YYv$M?Jf(2r?}svm>TrKvHU2xm}?I4-WR{Dn%$kiZM}OC|&{xs+EJj4^`k;aUI^C
zs|;a(K5==_NW-vQ?F-H#BG{_<pS;AT3di+T!oKX6fzY4A5=!MHa5zIl@6kvEMv0+w
zr%PmkHnIIbpCe>wG9{5IA4%{%)aVZqC%}ikGe?BnH6Z(7u*!5M8TQdzWFEXH4_3*%
zr`h*wf`cRHb^(nh49QP^FcMRQ2WNhsNGDL><JaQit~(Tv=)QA9JXZ+<)vA*p^iqI>
zSf_l(T^sm~lIG^bRA9BQ?;)4F7Wh4|Ih|>%3um<iqJ^VXp)%h8Mesu{5avz0qJByr
zT$3Mp=k*f7J=*1!ZlM-Tr>Sa^vkU>VJO43(mIO<RaZbICTA(KFng8XRF>G2~F-Tn5
znIqNUv3n^6wr-{>MzI1g)$cRze4-9CTj~O(rJCS9-ZNt)Yzmn=M`pv>$>4yyuZOv5
zz+-X!!*aW*u&+Gp6{|2AzMF@Ij9gR)rMy5&%s3V9e)v_Ixu_07Z|Rl}^r(VUyzRf(
zBs1WSs(SL>T^+8>Pw=UaD#DUW&D}XpbJ%yUfNF7;1l+WzkMe$!gYWsRx3dqK!;$2U
z{Y*Rm{;X%gCM8`8Xd>v_t3u5oXx6pwLYpcie~NfkxFiG-M-F4sr_7-=QV65&?5$xV
z((1-9Zg3m(jce92hn1-FwmcR}ur}S<(d5MldMXXK8%E5)q!e7=IVr&HZj#Avvt?|f
z%V)wr)C_DM&TXb1B0y(MDa{|jw-{TA=<aVDREYIFKdk943qCgC;x;vtc-l5&rfe7$
zv<^J&EjTF+Mk*T)-J>hGKW`AxVcrz}(s%a$WR-w@>JyJXKi$U1{d&3Wy-b1ihfnzB
z01*&*liC=|O^;5Hl~4Tc1Nf)DNngw<2<P;Bi-heNk<ZtEO*{?&ccby9mPuYXCdxG6
z@qr1sbX&TjhZua29Y~Pg+yw-hey^z#W;Ez<wRyJ01oEsO$#FbkgSffv&?iDH$lgYO
zg7394RNlS#X}p^ewsS{sPN=e=?#SRKk?%&}{njx1=~-G>Ib+@OA0rErp_}qeWHy3P
z-Zp|X=Q<{7_4bxvEi;-Z91-i&H-s~}&S^~Be=tFz!I)?_W)#L)P;GhE00N8p_tSaI
zV7tClnLPf>gv<wx?bU1aVbSx>T&eIdrn09g=ukQnstWIF`N5zMTOMJ3-$dH5?bx`o
zf0j(>NMB;|fU_QGX?GZ07^uSY>|e@^aWEm>kkNqH=ep3z@y20Y>I*LV{;u=b6eAM(
z!8CB0M;8d=A@(nwNAc=AmM>z*7*YLn&!J<XIsjk1G71)c;`Y;fSTAodBKMvXq@hu5
zXz$)AFIbz$?{YsUARQ(oLKo0dZLbXh93rLl7K=FL)WKh$Q<%^Tu0zJCT?>AD-<Sy*
zS;D0pPmiwfGb7KDZMsf#Ex4+epgQXE7k3M_HZp(3jLK*4zWeZo0y^gOqX|{3xPh#R
zW&2GQv>?gfQDQ}bX||h~7V`#98<_SbFOn6_e$TNv*`*0O3{mX^wp+N)z_~8^du+&t
z?@%ngrzU8V+Yg4@(4dYZ&Gk-0><H>4hHouvKqqgdM`<`MB81;fq1bXFZSxUl!YvIr
z-e&apZ3!K64}O{x@QVwL)DVNGR5d`-DSX$_d3scnphf2O;6}778~eFGl3{k;=fZar
zMl}8GvWvY351Mq%=I#q6Ltu-pQGPxX%1x_^Yz^l{Wp-aHQWVIrnfQ}_QJe+!#_8Vu
zTE>U$9tKd&tJI<Sv3Aj}=d39Fms18Ky#Oi-O4MH_sY8z43a_3gJ7Qrn=$Qx+M1LBW
zbRA!kfIhR#u86{klFIg%3NQ<!K;UVAVNHTd!T~zzO1n_~-@H}QD-rbKPX|rbA2qlx
zirtdS=SEBgujQ+f#n5l%li&MG)xdL3UuNMA4>~MbXUUo<fksCsSK}_J!FEdTy!jR{
zI(H-NxBhb}6huA1CUjB__R!C;<{aQhyJa8Lt!_voXX~~;IIRYkCO#cIS}TBlT|M>T
zftD=VIDYA+YP=e7hQ1AH!Gw_KJo|amOL8dWV%c7|4{BhQVORWNSQz~`uFyEsPe8Xv
zF!vYQB-rR$%96_wMOj{ln|Q1g(35O?+kh4lTrU(K-3k>)l70Erd)_FbQ~TwA2}Y?y
z6I*=-qn{*7+jx0cXs<Gg*UKak4auNy#&;nRlSVc@a_jGVRL~Cz8pq(BdwnB3iOzSB
zLA-J9BfF0gkt=HrIrEAJ;9~Z9#UZjNIkMzm^SBzy-hFi@)m{@m)%*H*Wy>Mk+Kp!e
zPU@)e%{RW!78KAnYgqXBj(}F4pPbfkBBT2rnVNKmwLs=ovLerhJn9sWJ7qUZMn((o
zN?MY&!6MS%%TrkqX@z=q_ny!|<_;_jo>MyDz?GUIXrqMU7v_&#Y|ub%XA6G%9M%KU
zM+yH&Udrg{&{&)3tOjyrk?>2L)Q6>08eb<pRge|;h7e^+1LZi$><zta2&|)!OEgzS
z7P}H3=04Lv6{IfO9%*B+(=gC&*;YjZ&gXRXFb(uPgOB}1oe6YW3&?xiBBFfr93S6Q
zGV<V8cBLf%2=a|RxHd&ZNyYv_$B(Nc&)q_?lzxDW%O`wgIn)rROck9mriLa1emL-7
zGzIaWKJnX&L=?L>blbgE1&LUcl;2~fg4}*xE|zQ}lC}<XIl-rd{{CbzSq`RxNUz7<
zaCRb+yJjHs*-#$Uj|D}|AS!SwCrx*os-nq(J0_E^vS^=xwd&Ly6$ZcR)#mS3LB}a=
zU-a0eP(SRpTVAJv_duo)tE4iz7(RUzFA_l$bGDg5JM~RbNojk#6p^Hxz{i5e{OHl=
zn=wtzR1j=v?b7#CK>V+q)4f%>kz`6m`e-y2#;rUGUi>8>!rN4XV1E|G9Qf96%YX{D
zl_p!NVRC3~ajy)^BU&WnW^JZ0YznS>S_2*b${-#4gbvTmzxau(;v~-VrogvNcsda&
zjn>Qmvpaot4(G6J3!dOHh4Q;$c{75N=y-SXW!<_#T)vb{KKKB@+?T?*>>!55Z{;>V
z*sjBQY~Ek+(gxsv=#!mQEsTy1u30jaH)87V;v8HPFu0lKmT}uc5IuF6`Xja6jZv-!
z>`E^;fekCym0DVUG!$xmi_UKVYq53t#W`RM_a3$zouA=BlxC}<&*sC}Q{R@YGB#r<
zebPi(r{B@9Vq$vK`Y`51a!z5#j3A^y&g@Mp2O6i{>ychKj5!B=edrNx2+4M}f_f3G
zh-|i<oyYzitJ)<kUs+=SQY}9u_$rtX9$02ImD!IiZW9Vtw)NpFM@6ffF#{66&APA6
z{wr2T91vTw)(3mf{fCOV=@1V(^fn~)GuHCudiA+%Jz(ZPx8F^P1{u<F46TK}#m*bN
z^rJ56!gQfS#ly`FeBE|myMh9aZCv_972DyrO}oS{QHeGDr^=(<CuZ(r5f_+xTA%5_
z=*w6_%!9u;L%;li&D_U$^xCg_UO^pT9vt+eiCxC+j@kbVd-WRUP<to+?vgf`wTQ-9
zy!nG4GC9h5<@tMD!^WfG&72k}Uiy+dxpxs?`<Fv{-`Is0@+mfa_0R(2iSJ%|f(y7H
zg%12B`f$FGD|W*@6u4b)WphmGH~vML@1K$H5U!`JY};^v0{q58S@~!lr;}QcOdS}(
zYZsK;96B^11hT5aistYaCQLE3QRDc`C$o|m8%^M@Jn%<udKPbZ(5}Lz{R8*dz8JH+
zO9K+7tu`hv&*E%J%XsAC6rQ`lV-dW=kA9MzFYJ%c;wlz-stHZA_<I!{CYm2)2o=<;
z)k&VkXWx5duay46OPAaE`_Gc$tcZ8-HTpT6G3VRsY4-(O;Pi>{Wo9y{?GtD<tDM8P
z{B^H?{kMqwC!I2jHc*F!U-;m);(1)*kw3k`(<OY;?C`VD(<BfZe>}0L?-%aa9P-}$
z{0e@0YSI2lz8YlF7!$Auzwv}vP29)#AAU0}N>6l{2*UiVZjq4-xMkAh@QLedIL)8E
zORwdK(A3CUq!zr0GbKdF?rzz@FW%G2FY;A|grmF)cjEuxLxs1h{q(kR-MBP?zIqk7
zQT9&2qkRdl^Ks92`AvhAt_9fn@vA`9tqQ?x)fL>GJNRUgCmlK=^28}FP#ONL@!sxy
z`4>;FVB)#HLXXfUx0z>;5{x<PEB^FZ#if~PKctp1B4-hy6>U(0>AY?cbDMRXqe}DD
zyW7l2!J$;my<8DoBIF}#y*6=6qF2(H`>d#|hG=C$R0Q1=zO~G<ZCvDhPy){wJJPyo
z+ZI`>0G47S@rT7|krij7Oqm-O()krx{77E`m|qB%QZCUUISc&L-e_)gt6Q(R;DbD{
z4*;_n69dYavk<PP=S7<54tx9h$%EfPdivKd7*Ugvbdyv8A6k32CPWpLhkGZ7U#rG3
zqnZ$n?4nZw=wswfsk|-%3}rH=S|+igGT+ztZyypuOdaZH9I^<|-(O)S)5?y@)go@I
zg^Qr%wFQspa|9@M+yh$_F0`v&uAr$+3_Y85+w;kr08%4C`lY_y=%j6i>bZTANL#S&
zxTy~Td{E)t`C%SZ;eD+m?wT~p5E3Fr#1eoZXhL4-93R5@K6i(0%Ahp&cbyIG1h7#Y
zT?<whKwWzR*y>Z|klmT1i;QaWP@F#Ul(b6-4YwFv46~9)zWKofmRfl*JUi)55)wf<
zThiwjMHLa{%NIS%PzBJp3dx<b6hrlGslEG{mC=f(b|v>2MYw;_3d|o$p!iFC?TYNG
zsPAK<>CrqT$T+w3fJaaoS&sM~)Rj>~9*+}8>cmwbiM54Q#!m*Z?>`P7Ox02HmpR?>
zDOK2>tKEB~PZrJPr)5%}lTpE^=<NO6B=8<gd2HuMK*iK!Saz)jk`Iq9sj(&ln|-vk
z<&Zo&v)Wx0S)qv}6Vf00HfjK4Vpjr>zalyo;y37#N<nY8r)>RwDe%BoO#K^;GWr*E
zpxVMl3n`p>y^v$A4QW1!YMgN@J6sXm$k(HVIzBlrcDm>SmJ&IAn4XAk+_@9wEvAir
zSI)nXNzjKM)x_3ycQwTQ&M6S_Ya^d|##d1Th9DM6;^4VOLh^H*zxk`Q(EW_|2Q4}#
zKq}=D@V}vs_Me^YJh(wYy2I*?9OeL5-5dm{5@eKZH~nB}OcRZlwVa~3@8qdm&4bkk
z$f(|=%J6ou29i7cT{P2;3Kt91$%#9BBTDR3EB04M-K&OjG}>k`N&R-_jyf4#+jrAE
zH%b+4Z5iodJ9%)=UdnLPOLcUv`SyEDM@1CaQSt(FGY33SqU3x932_)+E@k18LqD5i
z4*A|U2R(5gS$}Ue^mprUPin0My43vN@}rmLuzKR4-&&_C8n-cjqTVflQt7eBud~eI
zl_J{nlUW6E7HTA1wB$s#q*(n}cXPOx|HO!1SP3yaqW2%WPlKM_7?mE|HUrh*_>Y^r
z6p%xbPs6;&4_q!nY_%=U3~mr}PsVS`p|HODdM6(CV(W^3O>$VwKu-2pO5>~y8dRE5
zn2B7%LZ9dcR-LE9<hTUg>5o$A2)k<7)tqf?Fj$wWIA;oaf2?0t&WfQzmhPGGO?nWK
zYE`P=*(c#`UazLHFxo|*(o{>s48v1PwDO+-#3VSrj<xZl>yd-6-tA(Aw&bivAuE7W
zMpun)rt+W~lRjn(cQ#l!MA($s@%?-6Y7D97oan<jw^j~8cF>RPtfosffzrY&Pq@dJ
zk-+Wo{JNv;AYD0>@Tbri^mto%I%(-q>ybYx4esn9>{i^A*=z)tos_OLYi;7f#<RJv
z6xrc!rOdqBFGCo;!{9b=wTw6KF?eIz%?3APx~78U4B?qQK_=C67C&yZv?n5j4O+`7
zp9PN@KzVQ~tF6a(Jo~We{Gb3E{2jjf{(6x<#0#aC+_!y=e|&#eYoL)8=Ipjq*;e#m
zMSf=W+M!lVY$5zwz%^E&JEE|~vQG~diZ+=VX9uy$=k$#Q?yOKj_cd*`SQl1C>D-Cx
zKd_Fq^2RksR_GMMOno?XA<43NuYAEgmS7mg*5%I%wnvn<H_z(8YtPS{gqlU{-8TSL
zK&rpV@v;(DXrNnf@|n<vkjmeR8iUK2%#u@EI1d|emAF3*J){l0q)w(>efJL=eB;1b
zp2Y^HESU3pw-&t3wDbF#w2rN;G38|0vI9gpMt^hAg3F@fvkQ7#*p6pVkC8Z_#$!^B
z`5Oha9?v&9{YL{wO76dv*X4w#)^}nrc~c;8s@ayklor%<LgZ!7aDmxrD<_*JO(;_m
zzGJ#f2Xn3Qc4Z%SLB<%Ii;dBQV&0Y)j;0LIPbG~iJ>v$iu=_>M1Wg#JFP=JjhY>U$
zp6~Uz%>yjTX?uRW(SX!Dv0u&qF~O-}_11+rUg*tvem?xP1~}}Us($Ii0@)W*z2@@x
z0LkDlj|gjkm&8M7vjtWleelM@KJi1_Zo2cU@5tbi^eW(JB0Jc*8PL6z6oh0y?>p$m
z4iBt7f|Hh<5a(-5l#dmHkd^*0Q!6saC+r=)FSQFwRPvVI^NYZd`|W>a`N<%8_*Q~+
zJU4`(q8+ytg*tf|Puos)@J-6$EYIM9qW?N|>f^=X7P_kVU%WbS(rJBUs^<l^BsM0R
z^OCT7|J$3CBkEuhm+z6V#0R9WCnA;hNQ307-OI{W>QH#!vp1b80Jx;nkBMV4z&>oJ
z{N6?#Zh3SVxD^Y+Ff+g4N`frxVriB33sQ%df_D2l6of&z$8PTFTR8}@xpcu{Ctr_0
z{}E8wAOdT_>ASuN%0nPzPv7JwgLKRqt7(83l!pllCI=`$QKwURwJRB_|NFjv$xs3&
zj3fT3_b9^Xlbj^O8Zw+?;?*jZl7a)i>$D7}$`H?}X(_0o0ZC*0FP|nzLsfh88<R2>
zD878<qe+tn^!5mb@ZXUE{VK-MRuLjdH$FanK2Q@f!mq5m6v+bZGdUI6a5ab(xOWLN
zra(>Ds*M6J2Mr{iQ%B#Bp#P%Rdw)eOsI8E5J@<_O8CMm0DGTbLQ-z6YlC>ebRo(9D
zvOHwVeB<90K?aqvY3^bt9jGr_@u_211da?RkCVe>=yy!_D!Zo(;ZD3cJwi&*_B??0
zsJsSzXFE$MUep6K7pFU2e9G{5DobaDssY#D$KBiKVF0Wbm;ULmDuem2x|Laq223S6
zpDp}q2o^}N&+@ej{7EU#JGexKr8*s6HG5-7V~b5Ya9kD6oQdDhc$Ex<5z7(&HWN^O
zUdhV+T@}!qyUrf9JN@r_%rGUeqle!Q9Z*pwLO|e_2qzB-a;sFl#%ch1yyZl1U_{vH
zvB67uiSYBJ5<Qc(DSZB3KJ`?J2r<WW-I6{igVpC}1c_!-V2r1!U};x{y5QlX51bW2
z=n?l#HhC)4`S&Mn8mU6$Jc~Db69H!O4s33nq=NbJrsckiDzFye^TkU+7B~{<^b(V(
zFlub5nwz2w#ZT|~Q;AZbK=`|UKZ^<hTYNr`t|);Xu~yvLQWOqz<nS3MQbGTRjHa2b
zB5WnAolU40fFhye4-HRKA(-)}oCdQ3xG4Vi&(Grly#y)RbqW<qOcchbr34uGnD&EZ
zgB>cwSg33}K5{Xpv2Sso9DFv&-Hv+62>rX2#3s{CA&YC9PHb8RhG>Q_ojOee{)8&_
z7GqP$J$6Ixb(}P~-0gjTSMDE1S9xpq`JJ3DsC&!xkFO*+qt-PNaRIBi`|H+;vjDsk
zj5T%N#o+Ounfp&}{Mccd??q=g0Z7-^X_SLSAi4j&^x@$lY|qUkD)(LtG-5&)>WD(%
zml!PE;N6Ao36{$(h%kZ8_}>jDcL{*Xbc4yaSFPBr4}M0j)EM@)wlyPhKIk(e*yV*a
zV0&|~9n6_9g6dH^3q403So~TOWT#Y(<*V7d;4((QXya5^5wHtb-&<FSo~p&pJT55z
z;b{o;_WKt%VmM%$NrIGL`5L==dg-UxBLg`3F3s-OA}eH9v*y0)Yr}@W)Z89e(uXaR
z`1|2S%m6xnE|Y0KVfOVO847mmL(a_(KEVP;*w$t3adY~D9n|%D8j-07d<6*s^dt1Z
zAKY}}u*m>6b-_3rThWDaW)^bLVLEWGXv)pD8o};Q+6ugL)CHw$?CnL|v{2#O7^jdu
zjw!uy^I56U0lPF-UdrM&CgJp-eh2qYjMZ?pFH2SjOpG(`(8z6Jc!QvZVeSmpc>a27
zR-!hHvbkozf3ks{b>pm+wfKca#tmD1rO}4LcTZD}My+F>k7uR_t}b91HQtVz=d^&?
zp(1kkqczO<z=bFB0e`TidmA%%eo-Lfu2D-H&l)z+ND`YrvyA1rJ=<6~Lji`l&fblh
zRm|GpQS3tGU+ki0r?J+&Cd^ePhgW8=Vw?{?Oy0~}#S|S6Q|y8@!SAPlT=Y);=jtyP
zlZMu@A-W6J<{KKo)$GJm$F_!DR(9y{G}yv!id^Gkj?sX?#i5e@iEG#|<rSjmVHya{
z&W*_w(SSwXh5pgq>sY%`xNl$?Ex7&Iy2V^dh6?MDsAjbd3=`>{R1%?wZwU++oh-<}
z^)9Pq&|(w2b57VhDvJSpj2k{tns;>mqJ+-V+gn%wm*9^oBPO_VZG^3dQ5_l?d2|by
zX+TZYH(YU(8De7D(?8pgV9rrj_t7v7h^F5&4<2C!kuzh3SMt>0LhLaSx*l3^`rRHK
zGRF=hqqUv;*NMO}<y*)(Ne2f;@2p|+T+n{~(sG>#5sY<~BLf5&U}nZ;BiVu*6g2o>
z27ge6*OIOhe8(9<v*YsF-c%m2bEzmduvCROwwP||uS{^+Wg@I|n-~73UN2|(paKg@
zbHYr1ED$lKFuf4N4_?10#mh%kpgZ)1xF3-XR_JACo3sVNr6an{hfW3P6*L(!0S=J4
zk~Q7MC=AyJ{EO%-lp)<-SR+-H3qDo(=@xB>K%aB=4!9@-=cTWshxEC@v(R#>P+T0k
zE%v7uA5eyz4A<REp*&zHw${LKQW9L&l3jC6l;O>5;lSulUdX6cRI(0`2E(l*Lxp>k
z!Mj?fB7F}(aQfwKeQuJ026k_DTR&x}jJ88Vg96a<ym|f`Ne+URg!!ITD#L?4G}B$F
zLXaMD=&8ta0=Uyiy*MGS0tOd9n3emAz+la2a=euSI42C=&B0aRy7Xee{!?PWk&W%e
zRurMD63b_ZQ-zEUityA;iJf=x!jx@iPD!rdPtOyGko#{;j<H<|E|;2Kv%07XEnLr1
z={~4|R`6@HBmo&%Zu<IPqKz8Jsw#y$+NlFetZsIVqb!8b9!PT)R|f~8m7il08T2xh
z-goB9!O^TIdZ+xzuy(hfo;z0qzSPY&RIU<0<_w|J$y5U@(i2T(zG}j^nIEz`P6|-c
zaeTkX_6|Ss&y`B*YeCn~BDTq$++RHE+SQz+3B7tcT+2<`pru|aA;zi<+#Fv%R|!(!
zM3kebZ-_3K_1HxGvQ+`q&H4#3cM7CMnLe#I*9V3;-kMWaR6$`YKd$^F1%hu!^-zh1
zu<4i1^EQbH1*Uk}YYhrK?DcawD`gDZwyy?h&Z<H2(F0x*FLwGXI;n5OjloD5cd#{q
z1gWuJ2W4h7;M*Wc(IFII?~_sa*)$S-zOSwCGeCw}6SoL<M^o_AdN487NCNJ$swLx{
z{rnFA0RR6Cmv=nYUlhk}%HDhPc<|VJe$PW1vMZ~UC{)(3%!*1wGAk>Tot01_Bi~EI
zNXXthvKuzl&%gI|UiaS5IiGva`|zjR@mcX3!OMiv*YBPyLdVaMEDK%|EcrX_w|Hj+
zPhQQVPD~NpQ$jz-Hxgm6OhDzYo-t_mvwmoZRe)Xb2l3e!(xAt1vn1`2F%bL2n~YLP
zpz>X1wzo|j$o?D?oyZutAn9qt1$kJX#Q#}z2!S=xv@f>F7<!^MQ`>0d;7;Z8j{GGa
z(0uxzU0Sg*Jhc5)Y8FTYua#r37?arGL#*#v8h>M0ZlCWjZ6&}=aQjl^Fdg`GihlQ#
zGKRa4I)shbq(M}b?#Q#X9qh|#*S!3CBQTf{`g_Yv5{Nsk*iqSe%y;(tz?!uY#FSW>
z;t#}ujfwA1a?DF?ndR65^&lB6^W0|&b49^0EvjJl=mfqiBI=muL<WOEw_1X&5a1rv
z8v!&w@VZ9k3&UdoF9m4%Z!7adGkI*qB5)0lA5!J&a{>6az4__79uMSw+EvN7*urVZ
z5A+Q?Frd?0ps~8f3F64>-{IaJ{Fu+37iT97AztU5B>yiq$oMrLwQBPR=RY{Gpu24V
zk3uS#eSjH4uI+1+r2LDo3_KCD5;TBd)9DX(`}P5MNgh_l^%v)O9&1x`Kp(IGm9arx
zT6k)NsHLj@;4&T`9jpTM!0g)ks(U*nq+bpVci{MgU*`DFysAVOCWDf{^xyo0xfoQ^
zoH5wNQ!eHVKKP*nZ4ze^FEejqqP`*aC#`qza9dGf8*LppTjnNGpz#|EVhcFr@4Ssa
z^9;NF^qw|wrI_xHb}wO<9hx%>gSK!7{zWdTAuagm;&gIXX9mlmpmckbvx%$qR4IyR
zXhEBM^|6z?qgek;Kr#K|25$A@-lLRwO%OWzk-def3yb_k>-p~Z2Cmc1cwTNx1GMdO
zY*(idMtoFwqIPl}Z=|n_d*Gr0rHWrQg@xmANY$EYO<u<z8So6<>`;gF1npekjRrhz
ziTtHKXdMr2_8K2FQio?98V3$Ze#NOmI``AxS;wzXzUT3(QUeYFk2ne8e%yF{=BIVd
zIxgGJJ<qPL1}$Ptp*0UiaW4}?q0^!pc$UJ_PW~%Z$o=@F<A}*5{@t5Fw!L%%7x>p6
z!K0xHZ`7{eF&6rU=WK^9oc7(sP2Ko+jA~TCZH+;dxo;MKU7v7u<Mb9D8QK>wV4?yp
zn8C60x8`xhsd?w7kZoLrzR5beQyE$uuBa&zmhi_JPyX7q?cmj$xx+E8%CKp-G#KB$
zf)ncFsUGe5WYk#PPT_|V>?X#$ryBpnbAs<wcQO6LPqn%SftV6BWgXFwEc%6qU4D3B
z=LQ9miu^ojYo`dT7b*IBC06lbkE=I}lPHnkuoCfVf&w&sKi|MxvWD-=(Dn;#r$Vtk
zSJ&zWNkE%$px$_|9<Q`S4bx<4&{H0b%7Zc_K>L<BKk#hf<3p#fyv(OX_kN;u@-=x-
z`Y&NbaAzC;z(cwD*peP;eOwX#*((RytCAyYw0r*3(m5U>z7NUtF7_1a%0Y}Blb4GA
zKb#MQf}|uEQAlL7%J6epNcik_D)1`>I*li%*`8oVkx~v>EJCutV^Br)MU)EtyLY(N
z6K6%EROT-hQ;2~4lIFG}sZqqm6zy<TcJ!Xge*BOW5eS1Xadv)Mls=JuH!YU~W!2G*
ziB`$LsKeT?<1KWk%inA*RgViPRLe&cI?BM>%!}vx*$ilC{IS;24Q}Mbz<AARzYK6p
zX?6MM?MMBdzr61b@gjGA;knIb0z9t?n;#owLfR*<70NI0BS)%^na8OFpc3ko2`96n
z*8y{rEV4o<QoVq#@D>3!KMLr4Sz$vz#Xdg#nk0g{TKfd#ZV<q)-nXLo6bE7oOfwxz
z6GNdl0@Cj$5kNG{@%rsKPNZss+Z|z$K*px&yLcM`*z*Et9Fw^b_a)8tlo&~5W7%bP
zT~-D*OcSIyFY%&l(>`BIl%$bjK9)saECXRNX!x)zKk8-uU=%-3K!xIW22Y(K!hg39
z@({uV(L;NMKZfs!$k~ECCwxd2nrD;R)tiLTfyROe$dN-JS}PrLNe&Ke#p%Qeh@th?
zyF+d%Bs5?1^$lycJmjjXkCeNLqv=F<qGPfm3P1^CH}5Ne&>tpy<~j+4-F<RV*i;$G
z1SN(F$0<SY@JOMoj1-zZ;QjSEsGy>rlZ8o}%Al}MT_z+|8YRzAH%-f^qUL{fS?u<z
zp#4F{MUF=Xu@vyW_FY#+bNh5R4QADVR_tEkXdDqGFuE-~&QwF2HZ>J(IT~PGVPT9@
z%c1kkp{PPw9m#56@@tIJ0+FY*m;KJmqk<v@9lkT_=tCL1z|SNdc)QHs>{LWT(wr=D
z9ggZ~iQazxR*fFyU3ovf*{pyb?xs<(F{mTccy&dwIRkiK{8b^eToKU<*y{wGRYTc@
zJF;c;0O#FTH;P@9P-yOt&?9cDNIB?Zqz^M0!YbC&Ya5l2+{ZxQ!-6VkW|H#O#10wc
zq`RhJL<yzU#)%YhE1^^W7`sNAjR4q(-6+zPP>QyBLGgWgRB>VK-)|pdp!hTsAHbx9
zRsy^HGs<O9a?M$BtvO@Zg`Sxmq9Q74iFrBoQ4%>;a?F>h9e`sCRBm^6NT{hu$aC<$
zD6&21n&@S90P1gM1X9GvBbDlC@^?o*r1|y^ADi(3$hNs#er-_}&Ae*4=@`L|V7DV)
zf&Bm^#@?$Iks_i{Wu3I=3v_7WdSZM)y)g)%eio%|L_oW0S?d3FZ{j>>i)<GijiKyW
zk(cK&Db#;{uynX#7+2wv=Fpusf`4*^T`pG%BvSvyF289Qi{of1HF7nAdpb1H6IaEM
zdTgG5U&1fU!FEn(dYBCStyXtzO!j=}UCnM|y@LhME!cfOP6pM13ePUYkFuu>&Sy_j
zzzgw<-?-WUjwNs|H2d<P@RnQtnX=SilftTFX$qh{UNMyG$cgwPr}m8%(Ll$`X8|z@
z7{t^kuV~+5LzN-r`UfA=LZR+M8Iue{D5Nns<kG^3T=dH3;%Vq0Vr!t{V7UR<t!g_9
zGSZ{7>0G=-Q96iZqw$RE)`ttFIU?+c3eje!POAK&g`TM^?_2)p0mD05!N!k&@P?7!
zQKUDtz#;o2+FMx<7V^U;m;2Un64UXNizjG-@}3_1*d<-qbOX!j+#h&#z+uXgWg76f
z=^S{iL<fdrcXPb-XYkdEnQZic25RF8`32kB(AM8FMt;|iAJpmL{-r_#EjHEv4V!7h
zTNa%d>(E;K`eC||l=;0p7{>S~=4wHYCy9C0q#pCCo_`%$MGcwxR(~(jXu&hO4Z`2%
zUTnrQN>M(G8Ypg@c>Kph6SBqy@q(raES%}&0G3A$nw-QjiY^Tpe0z`AJ9!psZMqRy
z(y|wS*T+J`NCOB@(*tyt7cnNw3;e6hG|=}bFyFmG9lW1WrBnR;fn`fIXy{(1f#hPn
zW*;SWu*r*+UOw;}V|(Y<etVM!yoIhkRw`Bl-k{gCoFQvialG2%hfG?q`zK6zq@)J7
z4xZoY%G$sZ`5gVXz3CwR<XMNv3RQ5sB6)7AZVT(JynaRhEIqUtMcv^wQUx*-Hfuky
zgXK|Fd$tBM0B?h1q+X{ARBd>PH*fvHXf2q-#j5wgsUbd9T6Y!r)n^d)l9K`+*yztM
zNHRj&2HV?63Kih?VvzAur-abH@k*&GCb0GAuKMvz8DdV8&fRdK0+yVz7W(TfAftcK
z{;ZKQxUaNP(PUD?Aws=mv=$rOjO6uE>Q#cTV?}wy-!!26B-=OMlpQ1<cipT~Rf3<C
zb9F4I==S(f%_u8~1A<@3gma}T!uVo?^1vuPP=yw(IlbqEgPP@Y0&I%VHNa9(7P=2a
zxe{O9Cvn5e?ZmjQM+!i=AWv#FWCWW2Kl5wlJWx@Z;1(pM0I6rsr+Y{+16eD#_vTqX
zxG=Gr5%P%yZ};VOd?m3$eA1@yUu6L><<oul<SGefekQ(oQOX8n{;p~wK?rE0D%skM
zNZ=CZ&yYXC4jU=7-|icUfN{21o{u;QguKkWcjY)?xPGX=z*r2*x`rr~`AOh-#WzSV
zh6@_<HGgMZ6^DnFH<+arNZ`XPuz!$=2juQ<YASw`fbV6(Hto(NsBt`WS~Q;*?uRS|
zj!H{GE1Si(&|4BjkLOdfp5+IFB*~W<$<i=$zof-oO976?6;qjO3qq#x-Hl`+8Boot
zinuhT0B4^Z586=>hM3sfnoBQ<kXWu+qEfF28Vknq56PmiKP$H+>Zly(XWflm?ooo<
zO(GH9Z^gj$-ox8#i}DaE*E@Rtu`*nk8o<Aeh{MfHs-@jX1-QLkpKE?f1-{I)oaJYc
zgnV8S$`n-s?M<TK+e4}VxlBhI4@!ZL5qn3lg)&r@ma;J0sloBeu(tDeq@hqbRVrpj
z8FY&^XB!@<Ln7ht=_?Hc7(aJU<x8vzMDXgh(@bhW(&cX>7k6Y}$L&$^X=+t?G!wpk
z!chx6A{ZYw5oKZAvQ19QLKU8muw@ynXoJsMU#7IN9B^7C{mk)Dh5GQR48{~)@YHNP
z?PDYlZa2xi6lSVWrRn6;WUUWZ{T{L!h>#$%Im_DT_ujehyBl2?4T1KbHOaV*1UBz6
zih@0z>Yk?kGSwLD@8$IvF;#%7a#7B>`^sQ(zhKHZA0T+tlaL*)0CNLh`nWa}VVUlS
zMU*oc*d+rv*B&ZBV&k8IxjjFPe4X|f{zrztwwF%$o=^bI&;&D^SF-T2taQ`nmJv|2
z4|{9$lYmPg;)i}E0rZ|ylV402L7FyY@wyNR+6g3q=v+xy`9yHOA!-b(O@7@iM0vO?
z#D5?^Sq!9tzeSVx=2JbohTAPva^S{otrBb_2=j_%73^BZu%PR_e(yCATCk=?$v$p?
zN24Ddc#OgCk-{CX12RCEu$Pn`VFUAl>z)oHMzF&dS|pE4LyU$(sQxkoq!w)Ql*AbU
z9?GvFr62{;=JASQj+D@AUOKX(ZUj2Yr@|<bB;d!`MTVC<YnZwX_QJl641!z<)UGt*
zpmd8^A1XbI`MZAJP2J1Sc=!`u{|yl^v+U^jVBUhMr_pk>ECXOZ+pFhjgy7X9!iq<K
z6Yf6o`?$q5fXH~iQ&+V3AtXrp+!5a~e0EXGd}oh04k>DyswMKkb+L{1o+~qWX{s{4
zAqj)|HZe;jDK5CKLg*Qsn#bE#X)-m;4I%BnH=i`7*x^7Kca2HV5+3JxS$zG90eBMZ
z&syZMLgvkUAJ_P0JSz3K8h@rfY%uTSgv~L+X4LD?lrhV=fP8twNVgvJ+-FH_j9`GT
zF>9$M#Y_0dh>x5mta`v4G*Fa$d#{gfKHW-ITErK_+jwQIbOBL`8ODF5f-%GU9MuQr
z@kr|0&t`kv)sr{>sKbi_Y^nw^Ew1l4>(}`@_i1f7*EG&f&e_HMS{*-E)qcYdPHulu
z(9#B>=eu%`e{5p1+l_qhPE6sX2P?G4W3`~zA%WWQ%^Eg=-z`Ev#_@N59j`rJ)C8HD
z>X)rkzpz5vYYVT`M{pf)-^xM@O=x6R$*RBd13UBVWGK0!A7AP=(mY+R0R`$SD+#X`
zv4cqe4b^|$c<pk$Rgjnl7-;;Zj^Ufb%qHE!TP}9s3o|@ln_|^LbPEe=r<uX>zi>(l
z9Bsy}>Aan#sMX;DYJK45F@;sXBRHf$11^M#PP<-JgCxh?Q-9SbFtG_0`QS5^xN+w7
z3D-4M2%xb!ol!H2JxCOn|D*RDZ_edkruI{XADy{2f+a)P%_A$du?4o6^MaNtVO<4|
z2Fi%UDGy-V6iDsak>{BC_W8druc<(ysDE#fVjmXqBWft`R5>R7EaS=@8WmWM63FvS
z>A_xXZ>*jc#j)x^BmI~-WpF)dYD($ejrl(43N<zPfYrUrJXS8c*T4G3E4(ARux+wJ
z+rN<}Y-$mE)99)M=AIQ3_cuGSbG!o!DIQ<2KHKB7`(hN~!j~ZJ*DpG;2XqqWXSX`A
z7xQUO`|1>6AgPJxU3w?>jrey$=uj8--Eibv`fn20{}c<UYwg5t9AanI&F;aHdMdx?
zE0UmPA&YiPsSAtulDYJlyC1viv*bwWBM;Xdnpxj{>cZ@&x69*m2Qi+Sb8o}n$boFi
z0`0NbZfwRQ(6`fZ1gi<sr5E}q3+l9%iQn({U<vPbW@ALgu{`<M$#e@@=&Xu<bL(|4
z7Aiw@FfW|I8W}XA*RzOlW#gCT5^F#9%+0ZO;rJBxg!(fR?XC>8fzr3y^a1S6gq+iF
ziEn#43@lzb$bh-StFLf=2&)y|x@5pVi-mM@o|vs6z?;p>!*^Xru!hRDkCX;;7{zX2
zV5|fISo{4B*gYG=ekzvj4TuZa`=8DQ$<fk4Z*nk2oOuHCCZE2;A+?NUtI-br-j#xj
z8^xm5-jmpIUsV^8t3R+*W-s>yUn%I%+@0)Lo5C7jxWrG;{=$w#{(Ry8T@o@a7jlVt
z-!R>W8wzKteq+Z*V_!WyCkY+uA<ho>X0bC`14&Fz*07(k$7mL(C4f{H_I)O44inH9
z{?J{pfu&j3RYzZtfN|bZsj2Y=?68VuiuBJdjQp4b5C0_&Tbw36+iuGk+m5L7U%y@K
zzCefl>W#hitcE}2<R4g0-CcoydjBx_iBzsFc5zsgk^Oy8;ukik9(A#nKncGR&G?%0
z#b8ZO>T+<;Z!ECV<2c?=1r3%|yLku1Ak3wsNuy#7GveNOcI_<<4Bv(agP%pgPFbSc
zx_JYWohVi4YoP=GoQR|B0;2GA%Z-i5wT<b^yDh77?}Hn;yT@4kMZgKaM9fax#XPE<
zqAovW1UY<|PHj{eIw+Xyk6ieNc@&*0q`JrgaVe(uT6V&~B<;eI3zQ%xaQ*l)VuNY-
z0%QG2A!r`{bjxU+3Z7SQni~gjKy!Km&Ezd1pt*N7`ttw{Y${MS(m8O!u&zz1i_Ts=
z@5TC+6*~B*-qvu<iwB;Q)4!H63BjAGBaHP1`ylx~?=sh0KIq+4dzMKd1ddx+R9O=v
zw2y@spD_@G_YuN6EP_IC;nnxds6-YR@Y3g=rWAqo&<jLXS0V6`SBrbo%LX<lp6zVk
z5rg<e`DDcjAz<_oU~Z1!fa;)=B2^>_h`e!`KQ~<%XbfZA%iOu3!>ilAY)cZXxMO*e
z3PpgBZCiW)3J;JkwpXG>X=s?NxhcaS2CeaGgDRzbpf_W$)j~@I4m%=!#SgK){T-Dg
z#RQ={|LB_89$$RyVDY)mCjm!3W>JZM6b4(n3xCEkNpSecO0WC_Nq}%)qo0;y;8<t0
z@3Ei~B&oR^@VAzR6Bih~+WW*I=7iLAYL_x(_(V$<U6p}3g*6WpBng~0&Km84s^HDE
zq#?v12QI%Uk|>p>A$3#erk9f%P>xF#a7ZeE;<AdR$QA)2-QTYbMX5u6MRlI)NoAm_
z&oxZ=LWIwY&#!$<)qwQmI#JU-4$8D&9f-)01Dd{UbBAC}xYXU5i7M5>=`w3j{AChc
z`L-!S!>I)h4~v#|jkQ3EE$MTUtRh4hN7TPRp#|?}O?PT3b>WuBXE&y5B{=;oYfeO2
z3qDF@mN}2<gP4J;+1wrvQJIAdX2fek9bX={{Q(1Mvw*i*tSS)J!eDswx&}PAYW1u!
zB|}HVbF&!_6_AYg!YAg`;E-hH;;m#O7}G21n2c5ddCAtZ%yTN>KIvfwwZ`C3bg-23
zstPb)(lX!`Q-b>E_pHnF4}gd7IgK%S75K>h>+05~EG$??WWG6W0vt$EWHd(^i0p2D
z6d6*G7}w)vR%-&Ap;k5iT}p6?pZoAYi3oVjJjkS)FoBl8`XNr#iZDt#Yi3)q=a;6*
zcT&wJfX*6D{kI?w=Vo5zNIB5M!%sI{Jwi<&Ly}nGlP(L2Q9McMcFP!@*+m{QlL<^%
zj%V?!$-t}sD4RS=X7En;RIm&^0CmT8Qaj#C!5?m^m6N^{NTO~xLt)Gqw*Ck`Nd*be
zdideQ#3TdCxE3Ayc8}Beo|69=m59P<nIHe$K~`i}Z2I(5%pM<l@v-e=69i`?-UqMO
z*wK5Pv=>@)WYFERo!<Y72YiCUx*x}JB1d_{Ynpp`4i4uzmG_JT=!O~I=%#R?{4>S{
z4_^Z~1SHn9l{3RvZy$yRb#6pyG9br80MI(ON-pf61I3c3JN_Zu=&@|6DQ=9xUB{$?
zxJU}1uhTix5XFtcqlYQg_BhHhemcYxtznw;5n<s0+-U1f`sx{X1K`pQ`@_pKi#ay)
z9M3Z4Mq%b99pB>gA?invb<V!`*ukWflDpj8D9d=K$)QOPcz!_X_OU)ZIzYOhW1I`!
zblExV%A^NblNk}nc^*HXx_hGUH5W=aX3fxgQWsj8vkf|%f8)+Q2kZFbxe#@5^Mmkm
z9SEFZvU*;%g&Uj^(96Heg{m%m7Axn|fmq{Thn0E%;pv)1=K~_SP@R21*0Vd>VAolf
zkL^;T!nCpIXL(#mr&Y$cd{YaUQjUcR=+L0`J2lfuLtJQ7v-Vw#pB98Y*0rcQN{8$v
zB0bL%xsga~UF+C}CS;18y|kdufchPXVc9X<$k-#t|7w^fFe%X<f6uia&9iRaZ)V{^
zyJUJ*Q!Y&?FPi@MY>*M*uI<}g1w80jPezS(u?7h69|=%RU`DM*21A8TyvTep2MWwJ
z08Xw4JT_%Tu2FW!(@1<MyzH_>$eKF1QKzR%++;&LmD}tK-2BMCJ(|Rvs}8!>9G#g?
z?5JNj{Zj<L0Q&jBPvONWbufCQ;6u0fIu?o5;tpDZ=w)$LA1<U06j=}P<FcG6*(J|K
z+(!uMD%G~3Z)z}X&C28;$c65{_ei^sgpuArVV&+<HK@Fg^AzxMql1DgFKOjP5rOx$
z<KEv1B@y)db3}PiMRUW}tgRRdzP8RSb6pK;0@Gjls`H{ce6a1Cq&PaU!gP+sM-A)>
zGe@^<`Orm)_W!DO#8Fe$;{&$dYEV#~-S9n}AGzX!9H&Pl&`)!QuJJu?EJF!aPa6eL
zGsWb)&_+pgn`Sg3B|!~n#xkx;@d%-}l}#q@Z>5k!O#i4Kt_H{8%^lJeVHD*-)wfzK
zjfVJ>22O9Of%UTb<&6;$Gzy`r;kg7PA542l?|?e+O6rO{mlH#JGu{oqQ)N)FjgwAy
zhB|bXcO<=D5JOtMlj_%_iD>Eat<2A?8qineXS`M_j(F$y7q<AzqTgG(lo1a#!2MSo
z_B}`f+35I;ty#(;!Mpsor3jip_iK$@N|r>w^Kv#~dF0X96?rAAFPhLIUGbJ{pA_=U
ztNO3uy*xT7)*lS_wBW-J@AzA-Qpi8+_J6_FBt$3$>O@OzkmYLo&J-by-jK6zrdN^B
zOZCVNQyCqg>NXAu(<7j@W`BnZ>m(#r<ox&feqC_L_ap|46VS-1141QK3h1Pf#FYNJ
zE+n2|IpyTHr&EIIrTHKUvGr&!t$x#k3ah<&=C=&$-;^=Ef0cwDg;fg@dh}uNut+`A
zNh11G_LjwYQXbW>Ca~jm22gAGcE>G`h=dy(BzrmJ(W=4uh>)j-a86b0xk4`y$)%mh
zV`h~@3$AUG%AOdQ$B*0ke<PwEMP(6_VInfi8|R_q1R%Kfo#F2$qUCcnCE2%R(0p|$
z*~t~)%EBYfu1q4z)bBPMrY9f<_7j^oaslkKFR`0g644==FRL$uq>x?2B^q)+K)T@6
z@%0fIbgV$!=ESH3vTC`Oz_0^Qm%y_@wvs{OQ%Vi<M&f8Xy83WCGa33c&ppsCARrET
z`$7DSD6)untjftwhFJcV>7YevWb>7JmgS@nD*U^${+^Z$bhHyv)FRS|`xK8s#9e;$
zldE8bxCC(B;t|_^BPn#q|Fa}M$Ai2oS86^q0Sx^)ef`rZNhEPxu5>$w3+bLyI;oQa
zFgxM&#`3ZRGFrZR-ZPj3J$>SAskEopOW1bh>OFB}2xp`36tW>}?+F*OG=RAH*WQLS
zG4#UwvVMmV3o;EHdN}kRgCzW6ytl6?;z;gDo2+0&&O?j>{2Ca<ow7=ws}M#hZ+ttQ
z3ihGSp<=&;3_}S0)PKx`T?nz1W>~&rV?c*ksS0fv3_;(MKW#Bg00j<|&3I1IA;0mL
zhyQvRKt7F5wLc3#nv8rSGQ>%T((enr+U(Q^9k!^q73I9B=(!sGgA`iyedE-%)7tt_
zSJcQo63l~+W<GVy@}xzkjMk|f>3Xn|s?>GwBsVh1;=V(;MT<!MBiEYf^?*IG(Qn9+
z3tjz+_waVmqF<~O_RLpwflBoCY<3_gk|^fVyKl31pW9y^TTSQyH)CLma~TI(*$%^=
zQqiMYx8F<iHac)8c*W6)o&zbKJQ{z0h#pPk(?v@)X@kjE?N1Fs>}V>x<wo!T10q$P
zqR=I4!~XyP0RR6Cmv=nXZxqLk?7cFx$Gz9Q_uA_oyOfn*6p|6qQjy9iGh}2WBT7X@
zLy3s;JqSgjL?x*-tRy2N#m~Rb>v^8nInO!Id4E1ASO;b6gphyq>erMdF5EKs*xjem
z03=J_qzF|A;#sEq-)<Q3V3hs!6HgfiknBeh77r3c{Q<$kgnV9X9nblAxm6#U!isHr
z%mmSEe_m&(7(YJV-!LfStPhLEvP{7gL1eq=wcY2g0N!G?JiGs+9$ZS(_gB&s#6HGt
zcvmfm)@}XgpN8szv)4Go(?$@VQPc}$FAE{b@5!};e0osqnroSSL=ZomZqLXq7RL39
zE$d2e=>o@+KL=y&{PiPmwB{>Bknh%M=2{nBXnohKN97hmZU1ZH!X2XcuD?H&=^q`c
zXP(w+gb86^-BIbzWieFDGBx>jhYme$(Q;BVLO7j#-<``s9JwW!I^XP}1C7K-`4caU
zs+v^)yM+>X$K%(-9V9xG-l~ZhCX1k+yOl-`mlS3n({TLviw4BDK+mNwA}D2YSv)X9
z8hd2^{SIuVL6Xwj=tEVaNO35hxI^B6-K)BJj>R-k2zZinGFJ?F=j(*4-pgXw4#<s(
zqd}dMX0ChsdaP@@=C8F?9<$sY`3)VRfoSe@f>NP4n!XzUmTRGa4n=<hyhCU(c1J#T
zwm|}a<XtyTGEqb;ui#Pc6Ev`FvHMv)BZ;e|CKe@z61H((s$I=oTlciiRWz4IfySKI
z@|%^BMDFJctfK*w+pVJe#WFbI_Is{jrwaZU^|d>=mX`_B)!oU0viSaJ=jlsfs_5Kk
z|H;;v4%^#;Pi)JTLz{tA&)zgO)Y>#p7tEtWL|b*TYOXxaZ!s6Ud4+_dlb@5GbLc|S
z*DJr`0~N61e%qIa_sF>A(p{k~>AK+jcfGlRnIg(Ajkb1GQ_w4yZCaG12W3k~BDRVv
zp#|^$=HF%N$eqoaWcOAN^rgg4M$ahW0CEqXKdFJ&={dSF#rhDt`F!zor!u}(;Juh*
zpo#H!U0v(K4d7>SSz<(q3Oa1z#pGw2s3h=Nne1l>;8{Kry<Ziz9v+fY(A2_I<oD3s
zX#`^gg!5>qp>0`;+$m2jObR=2+HJQnTvzkkI6t6<6)fGJwT@b-82?w86lwy>whAi?
zVI;)z?$53)TKMQjW&5E7Q}AG(nH&5~!eiTuJbFVl@z6E(eCKR4$eVtYQM-eT{MtLt
zh+fsetEN8}qR*Q{_y=CPcrh8zNt>1yXRBkiEw$tP83t6ItBN;&OvcpTlS_B)DEJ?$
zwwdb!Y*k`Ta;+odoyARkDjg)GI*C_$<pN~2s3#|+lQCrHl-)XIH8hx({u%fk;P^_P
z<pwh{df&agGU20wW?ZAogo*`7_r6X|c}l`@`^a*)bS12OR)6i(Rtt#V<<)IXBcW#|
zhwbwk1&pb>-*{}l1w3D@<E)ET!^SZO56kCr_~dcV3@OY4j{j>J;Hp%`lG>8bWiB#E
zju3IL*lPie6)P{kb*SL+aM>soK1ux5_w9a?iv?7D5VnVYW!x^+dYglHJ=Ug9MP8s-
zfOYZy<1+n9I2O9^#13~699q^C8Cw7l5f_Tx-o4f*Bh<&LbAmXT)2R~K0I=bB!0)&=
z1vKTe$okUGhrS6uQ5%l|tT0Ac8whz+*BZ3FV$Y2%^Qt@LH36cZ{oY~_Er<H~KSm9M
zIdCVlLX+uZ22^vMX7Nkgfb~fvB@Ib7WF4}+xJilu75m>U{J1BLiLbVFaXPZ%yLhTc
zU8p&jq-AB-PD^6lvSihsKg?LhBRRdl(+nyu%rISal)%0!qnnQenbCXn)ZsBjGYDnz
z6F=9n9#e0Jvd_dbVX$NUVb4fYh$*FiXbBX<#*Nl4eRfPJd@)nLqR#|g3=H|*RuaYC
zvCZvXE=;I-MWs2OW&#232SjX{MKFCcT6djiLbcNF;oxjz2pb77TfZu_RzEYNrvl9Q
zd|%W^!*3(dx9MK@pNtUhXL{|pv4$CC8s)zeUPi!v<f_B6yCB97cA8|zvS9ow-(Y#W
zA$avJk3I1fz`eTm8nTC2@#MbNLzndpL1c>YByTf6T8c?YL`Sc~G8U0jZRG}Vyq!gF
zY%d=^doC1idYuhR!*`VEDi}bsF*gk!^I}6lB2&i%JC?X+&9JTg(*oY8Kr7(ICyb=)
z+wD1#YNxq*+Xj8;KJ5IUeVPY_++J^QZ|1_Zyi#Vkq6fd?SVZ4<^Pr5h&X1IBJlH%u
z6E>o*2k*>X4W7T{!Cgjo8RuB}(4#da=t#XT9Bdn|*5=_wpVix5b}#tRuhPbe-%%Ib
z-z9w=4&X(Rj9m4*o`R?-xtjayI~`_V@E7kWFHT8pH4F0*!kTj0vU?&OrfR5evRQn{
zVf;uoCtMgmB|rI>PNu^_#VD3;AAV$d?XP8bNd$L5U+`!z4O$pqXwvQi81{lgf8f0+
z5(g_eIumH1ukVs7XDo;;VfO6Bn(I-Ztm;6yDGi)<ww>EPD2RXdvdn$R6-Qy$12dd|
zsi6OPUsihdS{;uJ)_xF^#Gbi>wQ(&}u<8Bp5^1L}jt4(dYQ7_dWhtA8)*LFd-lsmh
zYAS+~^DjkD`^w;Sv)NMq0V?ctN{@@9iek<3nbmJvvUn}>qT&Y^D*PG#Q@hDj3};eJ
z4N7_BF{0;;bA|;K_DF1058t^SbJ8luocR>+@%!2@Pt2&`GtPK^Xf3`Febr2|j3Pd~
zxIL%FjtW_^Tn#Z_CD7CZ_QV<};U53@N_Tyzkfy6wT5m6fk?p%w4ZW4|0rA^X<_s0y
z+o#Yc+oh4#J4e2pp@Q=|wC|y<RERfb4?p9%0c{PiDyU5rKfc%<Vk}An+k|FX#yUBC
zyZU<faTXG8JN5SI)G-=#MW(gh^^wO$yOpnl=490UVo|X&O@q5jp$<cK3V2$n)VVU8
zf`$Apu4VCbxL<Sgj+MS5zHk!V$X=?Bk-ICM-fHT?m-?SyKaiDh{*J5VETMtrd<+k{
zX<hJFOqf%VSH>UIfa<JfP0Wf6h67!C(6>3efn&W27T*}0)x4^OYTKze*Q5{UIo3TG
z;!wr?`xWg{wrk^sbtmfoJvV^DsGtpz)2g^-Smc}eJ8d+#?#(793?W9Jxr6#b4MkJ$
zQ&sqN@SWG@8Cxl1$exycwU|#r>sLp!`*?LQ@6zb(0ap`vt4jRM+Cs)r&h^4lo!WRO
z<#+02rYRir$t-XFLPk%4XH?YCM(f^Po730k&*P~JBj<Nea7V~V={IIt$QwCl8oF!_
zr9`XC&2kFfe7>_#l35ceTX;P;@&ee&Ty#0sL&5lgsvke1)Y0<M)Qzlk0ACG;WM(G?
zOL-pMrZtc;*8iEf><YkG(BQ$r0t&86J+w+ZRl_}3><nZ*E#L@y!I>%(3d$sJDoCtW
z!BVrGONCb~U?S&h{rf61ny~r=#APTUJiL*U)oTGN59lAFSjZUF9De2Mnl8B1GnBkA
zX#sb6t~h+xBH>T}K&y~ESrmIve)9Uv8W*PGSX|81u!Gs=ib}2&is-s)nS8N;N)JkG
zCS4Wnu0P$mFt8q(d>@&-YqEfcqGCUr#8uF=xc|trV<Px4vZZJx(*h3OPkp>PrG$^A
zE<gPcCWxlpm(%QBEuhKz=4-iTMa(Il)ylucgZu`brdxR|VCVLz`cpXy$Xfp-Bg=pT
z8FJIwr`EXhkayVjQ;<AXSYFIgjc3JOWGBI;fHl6*ZnT%A$>PVWU$y(=m@w}#mtf)A
zJ4Z#I+-UDDgF0y<<SvK5L_6!p`8U1{5RZ1+v$R<X<HfnRzin6~L@k4@-EWw~&5utT
zvv){fAXPb;U1OeTwN|Pq`Dq4jQ)QGVDeJL&=I>&7<Q(CBc9vIN-wccns|#xkiDGkr
z&YNQ?vqV#1zA|@=DR{FMS;en$bhKKF)6H;};9y&DWa(Pt%h$Zjw%<ZXSp3%SIxtHl
zvr8N(++YHALCkvIb%GcfK0Bc;GDi%pR8iHB7{gJcvUBmK0vHo$pW!9;n<zgs)-cgw
z1RLHy)YsX<htjiWj%MzjCo;O%U0GH$g1xic^s*uz<l`AXq&l}i1oU66+nZttK`rep
zDHLwJliB~ozJ7^_SLK~EpE7_w4lYCcW;oF}hqwJ^<ubAVlTFL<9R{G0T^{%S7YEij
z6fLWF|07KIT{Bz%R3Cu7>tK~42Rfbg+4r2A2}^EIhlrWzgItVe^rHlJOt}>Q?>;bN
zaJ3^>c$FTQi%HbcMA`8Vojz%n!h%0$pI$K5(gRM4p;5*QHY}l7FE4y$MQPQg{NOvf
z;3*r@Q*e(B-v`mG=Ko{EgNn)&e!4E)e-b4g-oS<-nF*0Nz>Z&??k^iYqQfzDvzQCx
zYq}vL-^%hhCmyjk<7c*~gX5kXy#r?KI1;PK+o;XG<{Q*5Bn;BPoM$Y?tC}5G3RI<<
zS$XlG<1g{?P#R3dbF*J^;J{7J3lee*d{|;l_VpE{K`v$XS{N56Udyw36~ZovmCm)I
zDpge25g(YtG|Gu5npH*Rm4#66!B2&#9aPwj+fwe2abb+LmA0#!Fgod|<TkKVAyjhL
zq@4f{CZ3}9c3u=g2{Zkx8|!sIH#33pcn2?D>vF&5wknD}@!boBVLCwGZU1;{2On;D
zz2{T&iS_u;<+UwCUk6$W*?+|N383@w(w4UZ61Xqwta0_KHmLHw?_bOkL<a{JTZa}&
z>>FzB*;c9z`sO2alVl+jW;a);%9X}dKQ&8PFKrN{iS_<FCyajL`vQHFH=vjDiND-r
zZAg~h)ol7u1RwE-6!;g(;kog>tG;~N;FdsT`}JEC8{F(m)yCv;PlLToEzjCLE=;hx
zc|9I3oJ$cDQ^cpO7cWk!YC|El&x7_z9Dmdl6(qVSVR4@LHY-1Eu$n%bCTk~&#_=Ab
z#l^}<JCJa}s7V`c?wGO?n3O`T%SAk03o6)S5$V#SqyqxWFOH4hmO=TNLtc+}s^JH#
zuK|rwI&dRsNlY+B7RC9Faj89Do8PJTn!+b_pr%#aq0n3&^9p3yubER&QOt8M%W*1j
zu6Ev%wpKt7%CdfTr8<fwnjNr{r9rb_@%IQ<MLaS-|6xdc%`b%adVcv#gT)vb(X)G%
z@Zsq%iku-@D8=z%dbx!TA3Plc;!Z1LJbOog_)Trx*B<1>-l_|AI%6GpRRvw1MQZQ%
z(ZQ<iU(J)g>Ol`ZsAuxADr#hTUitA-2XEe(>Ft&`fQtiT(cik&(B08ezg>xn$@Wzy
zM7SXYmT%hryqAQj66H4@I8pHjOLu$LXCqjMP&c5pkg>5dFiFgrich0`NF5#~U?60<
z-#(9mzhdhj?UJV=ee<&p7%&CL*`9EtP3oAZ@Vx;a>!4}wl~{i_b9mbqwB_h4bqo%6
z`j@SygORCWtL0A^VDOO?L)Fy4=%}h^VT2aepKXlVu*M_lV+U5B|EGZ-JzHf{`ZRC{
z5paEnss&tK=`Gi_)j)<$&ePaS6l@sbITBfJ0Wy2>swR^Lc3vG;Dbgn4jh!V~^TL)8
z|44IRRJ=Nx9n(DevQPy@9}5g7`dC7m^$EM-R}{>+;BY`~K@o-7>=w3USwdBYV9T!=
zGER%#c{9619v|0yQ+ZWp34!r1#U754Frkk=SawSqZ6r&hdoNi6U)w_`zeY7I@TB&$
zF0M!SqR-OIahBli&t882xGEkybSW<6wlKaa^V?tUWC`{Q-(5=NRnRx0HfE-l52t?6
zp6%wf1QCOwcOM@sVazt?%lE`MFrh6@r?bHV%4W6i6uK*7QqnmAp`*;0YxIIJ_O$@H
z_90WPIeAQwcFSzdUm|*#ZU@|31qgH7dO?ULhXXR5!8b)`2#PP?v$_I+gQfKpy<8cT
ztqQ-v=|4)i*A3HssQ`4bSn<0OQrKv)LDqk9i1>c`3T9+7fHcj=p4}vlg$5VH)#YCi
z#=Gc>mV`N+Coj4}ju>{n&onBTYbHn{Y%2x7%wQk4*O5DCMNp&>a<AIlBWM>YxZ73C
zfb4$cT0yN4j;EZu)gV|x=$9tmOWS1%ryUXoTDS%AoTB|7gO`_xtr;TMye^u+n}43P
zZGwC_Xv>=)WqOCu_|IeDz_2mA-W)S`$cq~jqaVCw8E+sG3%FZfs2c;{o}*r$esiF8
zm5SoNxHcl~Zm>^igb_4UZl6(j%Z7!mnc5ldJ;XjMsaVE~wLVWwtqERX#eAp54nEF)
zg84>(F29-~WWQ-^f9cPHB%WZ0N%A1E-^uXBg9HPxmzA!MVP(d@mm)H+I(;TQ1pXKc
zj_AYelY0&6_g0B|$FnXq<zETo;1I!C2Yr}t**LqW@gLDD+h9~FGfEWt77)e{^+2R|
z#@j*VFEN_Z#%f<SLCB0&(Ar3P5LDlrczfs%VV9sh{>^fVuu1LWKVGB@5<OuB556oB
zit$H3q(n{=E!W;P>5J-u!5{ZjPpu^a_9&zl_{|bR)pEywoTbC6(8pcd9xf8s9rQm5
z?f6YRet(27Nq`PlR3rElVit)-&*Gn~ehWk&lP&vVHVrDzFa7;<a*+_Aq(yMYE)l-^
z+X{50Xs}vg&HJuuk!U`C<)dN!GI5TY(XCfTh47HG?f#NW1XdRW2?(zc#`aE)i*zbP
z)XN1<-CZIIPal=7w`D@#ziuB-w&_6JX|4IN<9~>6g0g&X^O-Tm|8mL;FCExc-Nc?2
zvP{%oj1e$kVa0-~><uH6YrNQYhb`dzUqW;tWqBxZ9TrFLVqv0aLv-MwBTpv(5t*@@
zKk=xsqrJ9<v(!N?pninemGD*KUFGsgoiPsF%QWnCqFxjFr6-h@3z)D)zH@4^n+x}r
zzIz@jpa~{&jj^dY%vi^<m(SrN59Z4}4LEi{13t319l2S~f<v@T)UDF|7;T>w!P}<}
zEpismB!^h>en0m+J!?VqF}3X)uvLfG=^Z!U(%5jLCVPERt`J6K+WfrJLIKu}%w~-W
zcD%^-wtv$)5uDvCoEEc%0^z&ff4N}Gi5**0cQ<8=;>^5F<B4H1Y;Bt!9Ovf76ZQ&B
z1y<|v498FJ)zf6ia9VgH`G*Gsr{^LMNJ^lZ4K2FfgbX;a*x)VBkEVut;;+}Q>BmIz
zZ&z5zFrty+#ZMQ+poZ`c8*>@t+V$)b_YeuR5&~8y!h|sIK8cStTNZDGDo`qVNHC)B
zs3qJhj0G~y>laewvF^auky{@~kaY4>sjZVJ_IuB8+#X)jzh%hwn3D{nDZ$Og6JnTK
zt`QyJs)Q?l;)?m)$UqbMAr*dO&Bywzp6-3GjA^0jroJ6y_!H7uVw^0Ayq(6{;}NR3
z)i=_WdmjbX4b)P7Q>F3M?YRe+*Yv*SzI2IUGj%v766UX2wE^$FxoUcUmW+pf-q}vw
zqya_u=c>g2%Heib=fEwk>evxG){vN^2}gg<eQ%>HVCCY>>&7BY{4&uebU;ZPas*oj
zULRLPann*m+F@<HM`Zp@I;8^xixlqZ4kbKS@^R|k1s%Li;$!a3rGog0D|&;fDoC@M
zyxw$(ib2FMmrp+pUcMUi&`(xH&4CYMCE7Gpe3p`1W1$Of2Af{`jH%(D&1P|e-84*Z
zHWt6ouLn*aBbW|Zkx|Y6r1J(FI_4KOcI0OnK#^s!qh1CD1q`>IyOl&otCuIIPwzK^
zV55hUdr=*8_ByjTrPJ|be`=MDw+UQpm;1)jqk;K$ZKdXpbmZSZ09Qb$zkIpg!whEU
za~|HV(!}$5LDbMz8al3&T+ni5Kx>2a$T4p%Onf6`a%Gx|RYSGa=@$Ts9i6XcbZFsX
zO_kR|pAKqJH?6CRuz(XIqo!=Xw9w*Xgh1(>7TO+*>z^>Ugpv@`qls(#P0l!O>h4oV
z&!8n`|Ie17=WKMnYr7WeOGZ-99wgyt0b92APAdqxGOY1^?cMFiHKy7=D`VW*Sgp=V
zD=2b#X~9~gfws}aeC<{RJes=2jsDIGqVgnC#J$z=KlA0Iu`SYgxYfA3`n?srtUhc=
zo+RVn;IP{{u41@j?5kL4gB3W;CN3rXx2CH~K90Zt!;h!-z0Yiqwt^<zjIoJJsyNPl
zEC1pBb(kd2ypT__0u7@Da{qub8qaigM7>xb;y!ODwKZ8nrsJdC?*)`FUwPfFsV&3A
zi4UhDY8)+rDzwXG(?$h+^l3aqvAvaXRr-_-|7!~{yKzdoM_dkTPpImO$&WG)FAJp<
zY_kBvxGOc!o1{_n{FEQR<}72R223pa*L<<mVBWJl3G`PD?o{+&WN3tp3n_00=#4kY
z(kKzba1XA9o$LNGE_``a7xa(;)#KZ&28M*ui@RF;{LU4|PyVxNHP6i9&iusI3)=+I
zzisQ?<@>9Q%ClF!G>6S#p!i(jIxb#Z;&%pSMJAy9E$T96HG}jT(&+iu9BA%SyZwSZ
z6FemCO8=x`3Lh`tUD?gG4!?)#HC^jpWwaSK-~6=JSE5@a1y5XNLdO7Eda2qfqvssu
z^P7BQ*n3Zx?~VF0q4V8b?6&g?BWqP(+-1NB#xzAvXEgpM82>Df`2_uA)GAuXzEU)T
zf)np9-JAGD{A3z++!yngK~|O-_;%P3q$&byZrP0yZ(e2l`(ImTq`#h*-_ULVO}7(!
zdMiH@i9xZpsbBvvE>wJ<5LGmQ4)r5xE#LZxobO{@(UyN0%u9{RN8|LtIcPyTyRU_?
ze{ep(sdb4V@kX@k*N7fqQ2UP^dC3g5v)8O_k1R3xGi3~Iw(0?8bShZ;-V=tIm*$x+
z`z6MpM-iJ*lP=s+2q#VdeZ>flEUmM2Sz?IP5&Rc)bzzb;)%D-N0Aq8{p#hepB?igt
zrk}+vI?x|P)y{H%W=K8U{9Sx<iBUaK;m=8;L-ODs&X+-78KKf`|AG?!FkT1P@V&ZD
zgHqYnkuB#(7_+BTia$FnGY<Zw1}3W0;N;<h^4BkqGrB7ieX{KTGRl(avi$d{Q249s
z_P@MI#`7TE=dF?d7>U&5ZeHe8SlQhn-eCEQF%Fzt<-V*igj=6x@9xrpy)S~3?$=K<
zZp~Xcx>zuQz-Qf8ay~jR)?+isFq&m7-A<17*J6e{H-n4C*SIOqLT^3RGRM%ec;IAV
z%mN;&B~RTHv_Y&iu+YYPp7A!srLZE970$40TJi7Hf^qu>!{hvmj8|-3c{gg-ft8OA
zmsg1<aO!2O_P$+WWH{S$Ws})K$!+@O{s|43ig`Mz*u2abI)?A~TR9-4Guq>%xdwE9
z3K+2J{>K;{zpX2s$^`)nDq6z@>cH}Z!>5Ra2`+W*8Ra^~18J>$R+&~P;4nV7u27d5
z3d+m76HEDEq=Egq_Zk;|{5|2bHHHOZb2Hv$tqMR~Cd=@}H9j85HmfQbWd-}0pXpZi
zLU8u!`LQ#*$#6^dZ+h|}HhAD#A<S7V41+P#%n~ysh;Zu<Fp}ngcM94TnG8`VD^`^W
zNh5)TQEQdp4^B|pgejp@Vi4xNT>4v=1P*-}n+m^k!>Hr_TCX;77!#YwcAr!O>%-pG
z8T@=u=bFd1+$ITf-~ZKS*Q&wwt=$hh_XvQnyc2bDRvHRaE?KjlR|6}TZ6#{Uf@^v2
z=qz=Tg_4mVtHY^kkVY%|C$vi#9#KEPmpdpAlU+f@vKQ1K#6-LE+Gi24Jbb&ZqDuij
z#Q*;C`l%Y^v_Sdm1TjD%j(Y>PN)YyG@W!+R3APwf#(nL@L6?YZPI;#cM~XDhhGdd}
zmBN?TLzjePGac`q1XbV-5)2vBCBqLTeyXvhG|)~d#JAa!AU!PTOAaq(O)shSD}--=
z+cBCqjbtd`{r21*lB_zE3Z>pM>6U|}4=W$GGikt1>aNj-LmE)<h&4e}RRQ8>xsyG9
zXhMU*VA=^DEzmK^{wjJ@5oG+w`IX*iLsgx^h|zCtU^*;+&hM2Hc&=Q35jmg(q8$6K
zFGx~Bt0c*>)>s9Ijuh_e4OAGpVY_oWfCgVHS3>j3RpD)EmVeM`8UzSMGx>g`!(IJ1
zSF|KaKwSSG_g04v!Ikne)`@zMuDBt_G>#0brF%?icj<7cr)-}3p8>dczBnR1NC98Z
zf}F!kbdWl|5ZGg51bQFRGACp-fGpHR)@RWL#nkWm3C<=kH1pPD+(;8Tg*+36n&=Sc
zcrnIzj~QGF=Jj1x(}L2r(tQMt4zh+%1JffIVBLOB$$L->+CHfD*}2kSaxl?X;1K{R
z>Q!{SgEk!Z0_i?gDy#<sg~!({Aax->X*^ULGJi*<F7DHYnDbr#;=(N9(C%|l-|V&F
zl~L$fi?z5$L|;fQZLoqX9lfh6FSWpGiJfsXh6GB2d%k`ywt|$}&YpQrEnrMd_xKUY
z!1Cq>TlusV>=2?%tY6ds_ps=omKAx(kEu(Jm$Zgcn+_zJTvrEQ7L@U8k%ET>j$GOj
z)=(VyJlIiz0{;U50RR6Cmv=apZxqMvz4t16zQ+5$_I!@<OCd!?Q+7q0mXOS%6e*M>
zqm)Qxr=DXptVqcgDkHLrjPUdC`QyIMb?*B<-_NJNdd}_&rwBCHl~jApSVQZbMC(f@
z)u8a1nL_OhH;few|Bx=QhC>j3_0mHX7;4y`2d<33d@H!O&B+>836ZNYjY_~;WA>-&
z!4#1eV{1P3%?iYh9b7FMR{*1p1CdgqmBaw=bO_DQ3jUeZn=}Z@gC2j%r&9;NlM8$N
zgTh8F!H>!3`s0}OFegy@<aXq5veM!C?e{*G5FwnF2tv~EzJkNnIcAZ38_FrMIsouY
zKU4Znqc}V+raC`KUL_CcUGy?{2N=3j|K?An2)GT|Rw>6Y;u33wYGVxn*V2S0hld2=
zWp7c<rF15AIp|%V(rf{q6+5NKWIl*}A8K^cfEleLWA;A(ZVp?ERZ4i;IpIIou&6^v
znXy{=wc-wDb9h^5ufOLKD;zA|JSF78jIF-EXLeJ}fL8T4Xv+ge*tL7ht1u;IR0vI)
z^Vn+&mP@%jF5CYR3r<Hi=G8NyMq<&&k((y4a<Izjmc$(KCexIA!Gj4UvUHa{+KnNK
zAwhWk<tYNY?svSKWyF+Eex4v_3{wIzEomCV#3t|DoQZfw%%9-?yK>A3!dHV#;-B{r
zzJ0uVb@dqWxeePVrMHG~@wMtdpZPjs_i%Cl^Pdc8)#Wj=LBS9@4pi~ID85c!dKD*W
zTEc*NvwEf+kp|$!&DtDc)<7~ktLG)BGT>L%USr8IeP~k&b()&#Adg2+r?=i>zzcjA
zvJG7IL5n${fBEhJ=~yqf&F?7#wtL>%toB|H_PJ~i71};T7V4R;3;oW3+KncIq`4l1
zITlTtKl@2KaL&!m7%<{~j)u1OQeF7-_rgJkx(Sja@XU#Xhm3e-^w$Mv16{D!ZQ5b%
zI!zwr%jR5f$b{n>?*b&t>2U3*{Oy-UzsaMi+---4m@w?s1)+672WE*4;*$ciWEVr#
z-V-Ivm>bo(b9(~~j?K(%=N_ITv$c44+vl<%Vg6#MayJd+IGDyhRn3!Im^DVXzG6j>
zx3`Er6I95U*<DodaFNsvD|#sQmkkRqZL~3srou+1W}EW#e`K-Tu-Iu=4iplJA3Cl;
zh1cijynCOlkhj_#f)o2WaYuE5E<IWYj=y2mo$+Ttss5aOJxSciImf_N(xMGfHljCb
z6B!XqRBj5N;YGEc=Gj&yZD=@A=2+Xrgi}T>9k#LjXluzB&KaQvj<e;S9kMJKU=&d_
zHX?vs`ws717}Eq<Rkh~1I96n6m@Fw)6G9M7F!6QQgafUxsxHcodxgyM&PEHPh4GID
z^8pI9dQS8vz2-pO+}ElbSw!)iY^z23F$$Cwr*AqH$A#8~n?5*Xi{Vxe_UT?83XIPw
zhbdj)L4(N(rSgLkC`095x>2D4YNPFoB6s<4G%Z5DVw)7cmt@MlAEW`gc~7Ez0|hW9
zD8SV7fDD#JFF!Ziq5&Lqi~Nb_g7`?iJpO9VdYo<ZWnMJVfU!HPlB3+hXxm#|+!rH<
zy0z4!9iRc);>{}j7e!EQFry^!lRO?dce2dRTLa`YPFJo7i{aTLA9*tM6;Y@&wTO76
z0hV{fD^%W!<G=dY%k%k4xWX6Jq9Q_pfY&R>^HU^IB+BIe4pSBM`!DRx#3KsS-8f6z
zdPN$gRd$N!cdKIbv0vMlj%mWoM&V_X`|D8e)nG<LoH`N@%4PWuYeDuq)3Ww2vbf#)
zs+_Pb1@(VfHm%Fn2AjTc_j*xzM8RG*J$5aO++oVW%}<5XrwqS3IV#{)E`9c&HQM-H
z{@?jmlT<jjixSY8sE9nRQ{A4%RCKv{(f8CG4Gfaaf}H!6aD7Sh=1a^p%#_F$d#$7k
z^<^v$59ulx<IZq$qKt+V50f3sL3&X6!7TcIq$--Gy83H4(Xopz_>Og6ACl*E%=((u
za3G+$T)T#j&Cd+=9;O%qd+NMTJC6qL(jM8>#Hx#yqi1{_T#aE_c$tq&mx7K))9?HR
zbaB--;^Rw-DcH|d?jejdvDq<5uD_d(OM5c633Ho+l595DlBgEeRBCs6c+qh~LUO$5
zhy_#ygaz=R7GCMRl<A+d)~ATK;n*&K+7nAHhC14~RWQlkE1Qb(qjqy1I+m~_yT^QJ
zuQuvseRx~mq>ZtL<LV3Jmhdda#r=(qHV&P2l_{B^pw}e9M_jRjo~yNf7C*F5P33F`
z?>jZjU{aFt=CFpoywm!HgcdG}g&0qqQpWE$4Pqa;S;K?ktdkx)HPK!^q2QFX0;Zp?
z7P}I^mTL*uLDPVOntz<(R^B>nRsLI;lWGkIKX`df4XER_7j-|5gotB|?j8575!MhW
zUd=J+qlSN;vq(#P7DT9kT)C~*5ODm9@rOngoJy%IS-HW9%P#l#JF{BD0mH-ve|cqe
z4CY%s*vWu_NwEQtYXu_X6-)I;6!9oiY2v2E8B%$v-gDmE3NmK>6h|xMQDtw*`Wp$|
z<Q3ZkoYVD|AP`Ds9T$*8p68SHz5H(pr;>d7cV|l&b2XDS7?r``u63Nfr@s?nG2;Sn
zIsjt*d`rDMBr)vhbLZNuNkS^&)Sd=6fJT}7#FkkxY@xs6^KAJ|<iA+DE80ZB#)SyK
zV>Ti<GF(ymGIWjzC^Fh7H)sLq|D8koy&#I*87rz;KTmkth}~aaHiyDl!-Nnfew?7v
zwtf3KPwc3kwsDm=hr|sG<I}xdsGk{SbW3!B=ry(0Ip|;pU3A7|Cs}snR6R|Pt(zxO
zei!h|UoeH>irWMERm|x4Xl{?9#ys&p%E{NJ+yoT9KfTFCGT>y#Opn3#zl1ktO$RL+
zgU?aFKaukPNVf2c5j}2mM2vFA4-YG2XmO0%Te$x(`IG5fxYgcS!kb8QOuB9aL(wAR
zej2~YtxfT7Pw)OitYp;n6n-~^a}qx{9~qt?v&xp3WW9eA_neI6_E{LhwH+_TME8!6
zH9Z&HWG>DS8AtP3ZSNXDtu=9*J#~;Q+#Sp(RXR;%o~)-SGa5iyM3I3wPdAx0k(0*G
zHBCreVaP8zqz{EM91b+eR`T<`k8WYXQ-oob2etZ(9?1BdSW4bsOZv;Ib14W+5of1a
zHi>T3gZP!%&54eWNP!z$+H>P3i8B@(0wZ4Of}NG~wb1TdBJ;?PL=Lk_!aKud(~q?r
z>^NcF@h7y3*iB2%eL$Nejz3X&DPBZ}v&w^wIj<Ustup67h8&(G`ZK-GEa}mKv({nU
z=0+>gn5E+rIzCCn*7bV@meb(mwX1!qf4&d}Jw6isJEw@Pv#*T~S<;~LI$idGST~{J
zZ?C$eZ;IedDb}xPq{5}XQ*JDLUkN9->UhqWY2tZz$>fneRPeiA)A0M$0Pzf2MDw@J
z5a$D94;6Ijz>3!GqYm!hi15{Y^%npACI+nSIQm$0AY7){C~NZ%BJ5(Cg4n)4M5M@J
z-7Wgs@aV^rKXU&K6IHeD3}b1t#E|<p@iBibpzNjP-Q7G&^c{Mw+{^ZtxTko3;a;vL
zjNR6#uRJnF2nfm_Jb!nd*b`&?%43WIzM{l3`;%Wp<GjL5z1Jea9wUEOLyrQIEzHLw
z*{2Bi&^?Wg`~DFtw^;=Kg=;`Y?T79{$7$lj<o-7P_!Z*3bo%huc6A8;bnMwo!3^Q@
zO*_LmgaP_R?mru)s{_NXNY{4CA7WGH_vZDV89}r^)z>IV4V3*u(xmHV3A$2_!FESx
zh;H#dHNT_^{7-i+m&E=hQnLDg>rAphtIU9zub(Q^t&3|I3S1!0QRl-pRj`3~-d~Q7
zUsXW<br;R}$`T>CQXQ21f&=pEzvrdzRe>v|A>1i#%Y;(g(64~6T%c4k(z0bh8J6FD
zC{?F0z^p)0@jWYEIQ4a2J?f}3@YIF%iN-R5^F;4fn?Zi4RlA(d%Bl=K&~zxDiy2xN
zxbqi01mXO#jGQ+)N+ADMhS9N*1x)IGz{fcu_~U<We$q(^>=uHSQ$pFGai+ue<8u)R
zTIp_><XYqVvD}Hka~x11&s%PrDh9J!=U)c5D#FI2Z0x)_T=2oN*XK^Y1YF|1a5?v}
zB0M{MH?fJ87pz46I*ooyL6YU3s)?J5;0-5S_h#@z-+qbm(?`~U;|dpLL$V^A;i0{F
zV<rfSk+D&w{Bp3Pv9Lz>xgrFuyJoJ?AOw5ex61s8k_Yt`#?-!_iXip$zHM=c2n4s+
za+*mgf*NO+hvEh$5Kg(|*6tz(x#d>7)SHwba6D}~r%nkX>8TeV@00+Qliz%{rK`YQ
z_JH)>^U5&iR~<GJDFyfPRT~|zr~$K(xvPY?3M{ZLz(9`-s0g%uwo1}~W0yCdI2x-8
zoB^5NKfB9<+kTgrkY}1uevI4b-d{C{efL_KnL{4F+{n{k?9qnlGjyZIA`Lj+vRon@
zr~o^uf8HEl<H(=6CO6m{G@(GrD(c*fBA7^@ROPr$0|7&2okvzWz@_|Grt^X_tg4=4
z?#-Y>QvX$Zsvr$U`t8Hq#Z_TmP*ODOx-KyMb*f!0p@ZH?sn_-AYA_=-9&fu(57tZ9
zXN4!~K|rgflK3VK$d$fy)pbD+ew^6AACX}ItH~N08(Jv9eaelfa?yv!I(h4bx{Tn3
zNAc=sb1hJo7kj#JKp)J#Q}4{`n!@F$#_vQTw4qr%@J@)lJ`^`ZIR~YigQoIKcypo-
zd@=iYAm+Rt*hrt)Kgk5Je<U*ZgANt`c!!r21?WQ8>Yvg|bxSz*De_qDQ7S0zFJ>e7
z=<qXKm8Z$j3jB*R?b0t&A@sGe<sla;IF4k+%*$H?U-VzE7#}LI5XJw!eW?kS|ClVf
zzgokD>CvTLNh;i${?>1PS`9Yab#S#Gw1JbMT*{9?2PAoZnO5>D!N<yET6?7p^nFwP
zn!ca~vAy}v-ulQwT>sNd>mD1p_9lYD>8A<WovXz&a^fJZboTtM1{?S}_w!2sJq=hs
zr53wimLC{CFMNKKU;{2nX0AsbuX%CMQ|PK>1VMQTtA_?QpfV+GE0(GP*NqEw*knct
zpM9d6m};z{I&e|kJxB>`n3Q;fzjl(NVjDdlT3AD6J%y&bM*-}<+_HM}c9y*U>R98+
zLM!-suuksq206Ippgq;l#eiaIq8BFCS*>~LrzE$_GVoFG68FGPRy^F!owO;=63k<t
zBoCHJ!28<k528{yaMk*o&*>!q=f&$vwo0PFvjxsP|HOrVr0)9dI}UKQ&7@<jMG!b2
zI;>5f2Nl0;jnMi+!0{%nl8A6#*!raQP8TmPKF&?`x9YF}>(G1us(!KqPL<8{`tTyb
zD(s~=Yz|M~L<B0eGl6SzsadNZFQzAVUpmQT4mG=ka#bS!5&jd^O=`xx=)y9Y8KG_l
zp2y6_3~c@o4zD6qdxv@Oww1PM)E-k1tBUT~`+Ahn<!mrBy3B*$%tPbuB%6Rh+7La5
zv6Ik=iknQJtdZrWUqQcnj6p8<G41L^65$iYpT^R~jo;42S~qB{al%Ai?daGi@<QOf
zRi3-tcrR1N^lX?BEFQ4`mlpbs<lui>BXXV_g&(ha9qcuPf0vB;q$I{k7rLkM$XRX_
z`!Ob?U}*?N(Z+Pf-_xW7-`C#~x4BWilc(4!&j2pja((QIoFxy=l^@<Rz>Vs^3?qZ3
z4d4T9{bR+C^Q42(f8$rT^5B-hg^8pDeMsNOYHc~RM5fyCwE2$mpyaITEl*y3P+dJ)
zbK&C(nXW5fsFu%*Rd<cPG{oxxgIPvuLi3s@`aN`9N#nyXiJ06sqI&SG?cs3?EhaPy
z`n!d%f**q#Fa2`P)CE3?)>OurHNS1Uv*k^=0B$($BNwTs3%ZBQEQ$wMaCe5}6L%0q
z-z3o!XBz47Att}O&yo$-op2gT6cfU@Emg3~j}Gr=4k^COV@GdCz9J1aVH}9ZCGWMD
zVf4U%exo8Ms`i5fkAMjJPUJWYmC?Ysyu)zY6E6Jx;_q>7eNjAPc{|I*j|QQIol9r!
zco5If4N^{vq1%^Oo=*xiaGf&Y&|~Dou^pj0JKMzZ<iXDl2H)2Hv*apg?<am#_1^aW
zyt5=e?JO{7enJH%&!(&|g96xj<O2`Wq!d;+%5M7|LIvO9*AM%~1@VP=UPXPL4C=Kq
z8TRg?!chK3{xD8qbcl5=4ZFM^H#u`}F9j+jFEt6QGZDdw^)WXH8#&b9T_JN@mkKoA
z;DUt<q8PiCr0m=-j}Is8-&C#Dj}+~mr}c=Tw47V-^FReGKKh&IniUnCL$?d$Z;?Q`
zNd?WMY(?C@RU$Fkg9<)z9uYj<l33Pos|*K~FvO9<?wCl01FqFKlS8FZ^3dro`?OTh
z*q<lx!51p1Peht2n5;uDEnBYUi>er$^*7p+N&~fJTG1qrEC$YQz=R$(41F~6#q~Z7
zC@*Y6-v`N|aqP=bNn;JP4B;Q&M4`jdr%0y$v+~Ghu#KZIfr6f?ii=InbYORU5-oE<
z0aYynH@kgZ^R_INSe3PWXf9CSVHc-}8*UH9ewWn7a^lCF*bzO*<fvasysd<f%64w3
zGt@x=38!aIef42`o5%F=N6IMO;a_JhPQ|eBs3y^1129=1fBx|c6|@eJw?BD~im~@4
zci80_!sUjTMAsr!EVBH<R9;C%U6~`I^HWAp5S&yro1=zD3dgtI>!#xM?H3ETZZrW|
z8-|iA;p(X6RO90Mk&5nTG8UQgOd)6F_2Lg}4b+l*sbO%NihWl~-L?ywL&GQbh_-JU
zxRg}%grY~q$9C_0yiZ!d(G400682IsGSe;E$wCJ;wxelUEdjk@igtpJC@Aa|UR+b5
zg)!aI|0!Gmpw>oSJ^Y4(4-^94R}4{bZltJQlG_q4{o*>R`ILg$#`3!^H>+dRh1(iL
z_*&ic^OhJN3i23Fw@*Z=B1(N|y*ywEQ%hro!J``ZaE0eYw~R9O_3EjKs#-yBqJmkI
zxduA%x0o+IRKU^`DnmxjR-onE5ZUajj@glOq2?xXxWnAVGR(^gx{mLgQt?y6Nef+3
zu{voS^C(h{*lPvc>F*SM9aYh}>csw>L*f_`clZ4x!U`g!f6;TLRB*5jqF4Nck>Vqy
z_=DdH8Up4rDPNS3<AC+gJ;nUE`|6cl2U;v)<aUkke2gOALbHGmp`7^swE8LUNK2SZ
zkLOG_P{0Yz{;VNg7A&Z6U>nf3g!YU2EIq?=7^waAV?ydGNd(J3yWR?Lu(SGAyrnD-
zHO|=uo|-3bMI4%{IRRh?{{Q`|m%){;AWgxxHJ`0ZzUs*b;3@F2*#4vxy4*NVyD0UG
zblexU)VGZQD6pzOV<v$?>C>TYgF|G`CEJ_IaTXv#k!Y;c6vJO_S4oy9gXCt1CELxl
z=1}`3X`9G@BA9V?YxD`Feo`-{;ax0)IdF$qJ>4BGgdDxx99k@WWVT5lR{@wo@{ei3
zh^e(bShd7q%-%=dwBO@w5@iaCNPn5Y%8v!a<2(BYzLI;6s6_>RFoBPZ^7UnBc#x%R
zaiKYNfUNxOo}D0L0^#gu5=Hd5(DFsfcwPH9QatwD!<b{nFrPoUy~2P4S-rV|A#R9N
zk+Rd?_Ra``3UgBf&a+|a_S0!;w@1loCo;KT(Foe(;$+5`S#Xz(q)X-RadPBk0lRpV
zAv{!y^7&HEjBoD+7&zNZktfqmb$0(W0K5I4^*QpGFg=Qc%A__!>T_HC6xm?_yKH(E
zt~D{@S&ygl$_jtT<GQ7Sk8AWHxZK~Xb{!)QSa13mOPeEKT`}j4HqeLXC%sL!q%h#f
zn2yLcmwD2-XPsbjz8+i}<Z;n6VZaX&ciAvukrXO5QE67w1D17>H`*8&Fx1aefOY5}
z=^@*9Oet3v4*VKg9r?6MQZoC_E4r+bX$xsb5-7T`Z@1ii@8MPQGLzGfp&17B$Pc#_
zeL;s<Blg^Q83x?@Zuw)b0~3CkYSS*Vpu=vDp6fnd3@ARh_^hUa85@^2b)We_gX7(~
zD~I1P;OG%C$~S@)|E@Aqj(gI8sk~i;zL60*<Re`s`q=O?-F)oDA{E9=4c%}3U_=Ea
zRVCIt9H>xi*6fi?g}MjA@=f=cFnBa4KlBV2PTqTY=e`jYbPld7-g$-@2RiKj4X@p^
zNboZ$`&T+p>wZIl;|L3GiL9t#%HTsb?oOti!a7hdaH{OjMOK_~d3|@_oB%5Q-PXz!
zs0}+EO&(n+Wy8G_^N9~$3SxZ!v-Pa~TF^euaC!?r2mWVpXZf_aFd8LQp0L=t#?7qJ
z6Ap2lc=79c^Vn-5IJ&OIv7%QKf`w{M-P7Vmo5x;V@+xAetF_EldO{OYlin-j&hy~=
zP#1bwuQ+bHT;`T9stJW-H;tAi_|Pte*Q2{s5+C@EE$(cfK!f?K2YHtTP<WHQyM3uN
z3Iwm7u1cc7{2l8@4n=}EZPO|BymuYal{XGs2U37&{AuxJUI;r<B$yn<<Z!AqVSn0T
z3T)O}45-*Cf~F7o8{?ei@s;rNj)^b|oDoo{+|?$E%nqMftFjc3Fz^idP(*>0Yc_AD
zj)~*n^<kLBsf6EBeHJZwGy!!bHeFPgM4PzJkL@Cq@mO!rkLoy0c=qx2LJ^ZRp3RZ{
zzQU)9>Qzr3>l<moY=CV^`H~EV^yw6{Jyt`SB5T<fF>M%qN%s>Ik;QuH#Y28uHL$ZQ
za9Bc12ezhO)-%hILjwU}u9ANgOts#)$!IO#Hwu-EnthPR<i@(j%7<Ebx>3o7nVSY1
z=0bPTm=#gYv+|qIMjgDw#ObWMKm*$F9<D%3C2V)}Dt&v1iq16_B*CK#na6a^&O|BW
z(dccR%<E|w9g)L7XQKy`CB9Gd>Q%68?n#P&ISp%KS0%DC^`TJZg#1ZvH8iGg@%*Gq
z$EwBpYhwzAP+t(9x6V=>&kG&xu8*W6*Bwt5?<ynE)Amc?_0~Yi^NTOEvgycjZ&hjY
z858*Lar)-({uHcY(=Y6ar6X&kOJuOA8SK8*Y4>%DCZ>%V*j`&ZU&BC{63t`*9Xlwo
zj_g|ap>$C+`wk5)`}Ym&lLV-?5QWOITIj>#<<V3_#SQPCHs?PB$g21mm-<l)J!E1A
zhTV0rh--h~(c_kIAoTc?(he=Go*fbL{G^Ew9a&zV614)}knW+uG%Zxv>8F)BtB#v%
z`RY>cSiw0K8BO{1S}4pbywozNg0r_?ySuMi!PA|;G_>|>V%!5pP2(~}RCrM9??70C
zJzGtK?OJZ`jlYodFi{Q<gm1XevBw%@?L#)S7-}HTT>(A;329XK&gQpqwT2d_#pLH-
z)o`2aOqo`IC@!4PDb>`shEH4v?5ccK(f;Z67sWdSu<;U`xxnIDKaZML`P-FIZ<=8w
zD~ElJ13UjUKDL5>;rLW{6D6z~{CEF){VF+}A3j5OumbJsolOO)3g~v1gIBs`hU8pm
z^e7y(gyMrDu3!Jj;Z5K@GIy$<Og|wQzV4(YWL{?tQEFR{_=nr$P;4ZjD>?Eodl{e_
z^R}tBNaN3A?(2^p?IL1ZbjC0SpnZdzQQeFL9-b?#yHGVmth8O1au5Ot7^TeTT8Uu>
z-M}OJ>@OnjB71^{IRRV!QnNSJ2;<1DgNr^BQ^cJa9pl;E7SL|qRqAzG5cRmM9SGVC
z(P3BT$9lmWR>s|K9xLNR`S|92wq-NKH&Uf>=#d#z(;}Z%40GX;ZK^)x(;1@CZ!oT|
z+Z33>toMtYVMo`pi_d4wW{7@u?}7{wQ*heL+;ZQ81x-}{z9<QuCenMp^BHe90nbpG
z;Jo{cxa;Orf=K)np&HL4VRzdYlI3D^M?6-@&wE~-Vq2LYsJ%{J7l(|12i_lC6<j2b
zCS(s<RgV)d6t?-s8W}-n7puhe4Ra*j@X@P=u%86^vWhNz-4Js3mZY`J%#h-K68kUM
zj}UGzHpw-Q8-PN&Z(tzT6sbF*6l$k4MEG49;5_SS05?;wX67@Gk=GOEQ|0u(6Z_qr
z(mxdG!_MEyQIxbH(q4P1q{VZP$dRg&yDh5^^Lqnktm+3z(?h%2%U|{r8Nao=9<KRR
zkZzO+=iff^q5NV{d3YaTGV6Gto>33Xrw9!<i%#<U;WMn{a5oXac73JetS*Fz*Z%v@
z;WMfCsgmb&b|+z@QTMvwHyw(<O|+)5wvb_OYT9Q@+KIzn`}j3Z(jnmAGaaYw_asGY
z*~C%m3t{^zQB?B}4IKAX^;a2Hlbrq>XH)7w6LpUYh?H|Q5IVV9(PC3hhHB+$9;^98
zoVbzneH#-EDo!Oj?pY}yop-Xu#V~v#7G#TN|BI(W{I7(Ab4ho|jf!dEy&<gxdwn^&
ztfNAh-`>Y&xd({!mW0JmhOI=?$C2Q#Zfkq;##?>cUFih932N*qt;F#Rjn27C+VD9f
z)MYU(kGOlw>g<ahtwfUlIrsW9EpV~TbG>!>1z{d~TT`gGmG~b30RR6CmuEZ`Y#7F6
z@9kIzhhrXlkArg?r4mu3gp`UDsT5^ql~rUUiewb=R?<Z7sLV)K85xmC87V8g=j-+1
zexBd`{GRLjU#}RoBXoYL0lq3Ye`Ml0t^LQ6H}BR?+Ky6pISv&y5MQ)Q-^%=oW|STM
zWS*ysR(L-!Pvw{@kk~!PMnhlI;`5}N9<p}R)b7L-1pG&VBv)aN%QN+~Y4<MPF`XV-
zHt#*<>LnEj_~<WJclaGGHZ5ysS6VNP^}$rY4;vK-Jv-5U`CB8c_a^0Uu<B=;d?1B&
zC`TDGyMkbMcni&JY0HtYe|@y&rRG<`3rY}F&0Mxwzm2AETv@$^bCCAr?!JZ`M<p=&
z(%Ptz@PWo1Ebq3ucZlZxHs+DqV?|gv)PC7c@FUH6(N^!>-(i|02Y0-HxFRS={->G#
ztdpi<E#5SIbd;9aaAQV0S^@T4>HAX~-c9ouaw;V=jM37&>LF-O9`>2({%$<cOPk}0
z_;cXhI8BMSy|&d$9^{ykdl%w9(?Vw&um7l-pn0D+?U3msLuu&u@yU<<v^OF5JIa1c
z(lnRvT6#K>A-oYo>h^r0<y2>%P;#E8mA4WLBR|SPcKVU0DM`b$4=>8=5*cP_ABF3l
zo^z6ekk!LA1^lD5bL;T~UMsUSyY7-d)IM1dd151$QT3H(D{ns0dUKvuCRAeH<|PYT
zt{u{SmpV>+p4p_)d3=F(=2plZtvM3(_KUl5XHC$|Q{A&{PW+`w-;g<SB8micyE=ty
zJ11$+%-Cw<3YKVngKoyxL`lGzXHn3weVW#;B&~Kybd@GG(i|UjPzGinPXB$xG($`I
z#?bh^ZH@NGXmv&6rZha~dl5OrI7hqoSLkJw4+C_Z4f=L!NDA!CLbrvM&C}cxx9r&@
z#0a@|H(*0m3fgVA9VACD(5_Y<T|V`L3G#GbK06Ub1QvT)zxu?#G?S04?QMTqAi1JT
zDebEy#5;L+cC;+f^f_{0q?xe8Fa7Gd7zasksTd1%*|tiP9AV{csOE%cO$#~M%@XjR
zkJzg<&UM;Mr-|^U7#`^FFwl?MEdhIVRr`687=V47MEP@DelT5n%e3pKIGA0mwm4|Y
z2&xf*76BUqkdT%qlb0<H5)O7d#w3_wwMBOSo)IBP+IUiw<sl9q#61j;sj))OHKNea
z9}$qU>7go{i9@@BSeEKJc3@mRDe>Gw4DK9h$`YfBgDbmyYWo@|j2!8(d(tEUyVrN$
zv!u@{di(XTTN4ko`l*{%T$6%5Jpy^J%f&%T{fS1_Nq*S=>#0+P0|^59F0`xbNWd*N
zzp_7ag1~ImeUWEP7FPCqX$=0603F>Ssv@H>5Czq@YJDKXu=Y`AB^Dy6RhAk@@DqTy
zq;P@Oq5w~{FYy)oOTk{fnm9#AG597WS?%{r3F<np@|?1gflAVY3t!$z09ow8i+Cdn
z6mP^v=C+WaaUg9+?HMWfyva`de6bqn{yR%n1vxMx7&7^(kw8#4ejr&#6FzBHjh1rB
z!?^#&`r((dV2~JgY-CakSnoOPF{CQO9mm;*RWCB^=4|<V+FS=7uls}x4=96@!a$ge
zf&$dV6Wm9WbwQ~Alx5k9D!g|s?w(#&gbz1ovn*Tnpmp`=Ucr1#$T<1s@^HU03^x_e
zmQU#e+bM<Ss3~ojYwT=aeocW3t0{Hodkvu5ZnU~)yB=t0NN$U`tp=4}bkwKA4MAXj
zYwDjL29OaOzPRe60Y&)VyX;m&&{OUi8>usfkGI>hwz6o!H{;soi{*ykI;?bXe~l?{
zYiVuX|3V9Hgg%~lB4`N58pby7s-r>r_BLl@8*Mmm_4UuL1${8F*{BHFX92k_=MHZa
zX~VXT=}R0=deCs~R!YHBOE6)5*1W4t8!mCIJV~VQK_sx-Vr;?+INmg<Z>`dX+S_3o
z{+XIUX_Y-Y`^6e$X2;Zpj%$M<;c;rTE(JuYCKpFjH-qWU8f%v!EvWE4)}4G)9(=W!
z$d~?YhPJ_WZx$&naFQPQuvbSKiVjLpZ;`gZ<;6&gY!?mqHn&eKp<M_Td7C~9vupvA
z?L_m76g6PzEXw^n$P63yJCDUwZU*aj6Ur40Dj;k><GkoHN((=1c*%jf8Or?)T=}h)
z!2f-hcq9LO?X6@#tA!$K2)i07F;gKA$JCB$Z)au3LdpF%o^DuyYt557ZUwrZ<!3QI
z%HYQF8$0wS9jzed)B#a~gADYXH2+*2DS$5hCp!xZEWtbKopyeb1RUQ=eBjkCgeUH^
zbdM}sfTHu&XD4_GU{NL>V{=FZk81?xzjLtwyRRGi@4g5Cm#C)N{euK-&h{+jss#uX
zz{_*Y++c4eS8p{(z`f2AUp%w`_&FbopZLQJA9CO9Ij1R#w~VRR0$phE@3W03imuVj
zt?pj*)EC8l!rgMa4w}QmhyXLss5#ob(C&O2QBgE^klFDk)C|r!SH1bXe}J~~zAMIX
zoPcjfqT5^VnS!;v%LQ@Xy4r}A>EQDF1pJRlY;^NiDr}qkRmW>NUh87Q_l6os!1R<1
zo9`4VMA{d-_K@alr@RP{B)1UIE?>a+NVo~u3v?4j`<H4Zf5<&5Riw}FaebXTU<|cO
zd<o0n*K1cgx^H|GCt$Iw?%QH(V|YbAS-Dx85%XUfG<nDo@TG#zvsX`yAec(oXYzm<
z$-X&-U`aqJb(QX2nnut&UeNq~i4}kTy!`L&1p@kuTw40`&=BHRn2ZI)IM9hJucW?}
zfM@@UvvfBx1jT~`ABse{uux0M>#30_PI9|zy0sX9Go!2Ehh=VjDm!zo|CK0KMy^pu
zybNIGaBcZ=3opjSP@Y*H5X0vehE;zv8G!C!`-9`#_)+e1PHCUGI6j!#H~HUveOT5k
z+hIZxz`r~A+k$?HBkQ${na%t4;S|$+qzsoJ+7#T0?j4Xo#YI2GH9>vw<lTt9{7Vom
z%KpjajY(o&(yEYJryh9j9=Uj{M+iqPt-@Sbq|jwF%-Zy(9+cgd;Mn|D7)|Yw_lUVP
zdTPtRyXUV5kM<uvqF610TBd63Ygc4&QR&9DHM(y|8S4g?Ruk|}fKCZl2nlV~9#{2f
z>j6RCe{rQj6#t!%`mA9ri()ydszYS@e79#N3`1h57kfgUdy^dAWu1A|CQH{Nq?g?o
zC9tphZhvBj9FE)1#dxdfL8y0nh>wmW=0xpzYhOaf%mv5JQ`UNLv*6~k;z=SlXn1$#
z$I0XNu0wyG`szVXn4UX4m%=`w%B54@3OJ3`3M+YfFmhpc=^t(x>?=Dp1KSjF<z8ai
z%$OcrsEdEWX+T2JD<&L76(zit*bLex`mp4{ys|h+LguV#-%KWDlzZG)pnY2(e19+W
zD&)&zWTCTrW0x{gQ>^9HL=C`OX{<xtRSv^1Ub*I+rGgylrY%Bw2JlTm+sI9bjA7hF
z=g@5wlu-%jjx;och~xzJ2hC*s`2N}%&94-^o-kpYJ7fqm?4`54Ve*(D{%xD7rz#G<
zGAI$tGy>W4$@?uS3P>7N4h*YO#nibA^Zfga!SuooXX*C}cuU~-Y4KTA%$a=7DXeG$
z)Q;g#0bYt|oe(kHysV0qv}4?oD<&|K-BzVCrHE@|>r?98s%W?6r)@?D6}r+mznOa|
zVT(fUFn6RXw(pSq7e@c5yH!+1TB?<h<Rm6ixJ<z!nW@&W3ucgC?=7K6-%BZ{(9<qU
z3c8H@hKpL6!@0uZ)Xkd8*h$PRGWSqH>5PQe18e5M^pAtOk4D!|%X&~9l(D7#sKMQ0
z8VEMVX!`3YBh#lf`DfBfC_J=T>N^qO!;hEirtHcX>bbr+`9T5eI3G@FxdL!~oZz*1
zt%R)7ZmWO%<uTTws!1vVV9Z7H+f(}e7vHD!25utb%IMuXp)!CZxq^LHM-{O*;#0*&
ziYz8g^|k+^`(6c;Vg25nirD5d-CUzU!sHQirq#CqK@P$DNcR-5AaTHs{fZQx*cN~4
z+baN@oZu7ov-0RU?o}lDR|5IX&i^gH4>0pg<Z7g<JhI+)O1+&dh7o@PEG{Jj7}^@A
z9d;)pp97(-cRvBYCWj|C9|1V^iSj-(UJm{DxVZTq5ysCp4Xj`E0S2sjkH<ci#VL2O
z={seD_%(Meed{_6I2j7(_kAHDBXzCzwYC73{^d;{jHSWZ;y>1t+$79N9ZRhF#)qBT
zM&rIS(?D;@b8L6CG@9I`UdbKg!A4?-SZ0_xNZrd0^jst2q>L{EuLU>O^tZtKIWssN
z)>Z7DD2dli>$SeHbK%RX!Vpa_GvM{~9{H;&fe!g5FAk`2qCoY~Lt>{Xh{u|7sQnbf
zgUqL`Ki%QLOqOFOUs##~>rK9!UT;Lv?`@^spce=3o9goUTR{aEH)37*QvwF-@%v<W
zbD-}1ncZ3PR5&CM$NH;Y1Z79Yv%eN|;P<hJJX)3se1Dt&`0cbXX4To$L`rhv-I3;u
zle{JX%4uR9TEa+JG{3`&oOt_aS55jQW9Zo0O)b1CgxZIi5@)Y+VZlumA5LatU=O!{
zbe~-aebbfu(=Ku2TF&X?GBHM=<GJIsNsb_XsP6X_D&)bN#Bn(Zb|avz>ORicB8bl(
z*aq+X%8MR;T#eKeLwF%=(6G)Sh}=mDZzg5=@!4S}>w2OglmrE9R*eZ@;!I2N!BKvU
zxiXVBQ*HpUKiyU&dIWH7$ua$Fg#gakGxcq<Hh>F9^s>VS1+Z4A%Pllb5MQn6Xw!!D
zVM}%IKIatytP=h5#yds`t&AQy&qwIPkek&t6*WQpg$(1Yal*JM)k(`wQ6ILOk!r7>
z7Q~lHF@Zf<B6!_#+@6!}=hQO~;&;CnMEk%89fxb^x#_O9QzK3f+>TrJDVWmvpm{LS
zW<eC$wCv5dfgaR5-d>t|C4?#gXO;QQ#nH;_z+~?xJur=~s=DedjFQDdowOVY-0Z(X
zIMSjE16MR(^Du}YDfDiEF*gx^ELG(s+|q>_h6}fjz7oM}o^E8_R4J^8$<vz;)`drm
z@-w$m2q^YnQ?(pL2DNN8IQMwy0@bY4xZ<2B?q!Iaa6V4LEx`3O(q0$3Dl?Cz2Z-T)
zz5`;+w)B7C-FRcic3sFHoEw!27sry8s|i86av1x~e*2wWx}fsdV1qeN0@rKTs;kLl
zwB1l>IP0SeMb@*E?H?ua<bwd)C<%G2imFtpOVWh`F4n=fVp7QL5q_P6pn!XS@dZSq
zE_^#(^7+e2X{3Y?-4GR4#6htprvI4fdkEW*tLTxzjC1aj-vpG<JV(BO?5YRnXC_x3
z6_HTsHP<mBw=%N2vw0W2)&ugB&$&%UWO3}~`w(1L#ye-&8tSO}P<_WuU7jL`Kg9T$
zXyYn4{$!*2ZKFQiK1kI2Ju8QCHmR=yUQ*CHGcfL^j{$@_WFO;yPR4H5#@dI$sz{wA
zti6^n1Sig<N2{Uo*gqfQ%OIhKKR<B@D}FJA5aT^@gQf~t`Sf)YHA@XG4zu19dt?Nc
z%J2WavY>zqNuEzUeyU;fZSEt+sm4&}Jg#`}wj%Pj7(0CyQpcqxmZ_5=Ch+-cEG^Sa
z2?-sn9J8$I_-3KfW9B#&+?Hd4o;N5VZTBBeQoR~_N&Yq5>R}3DpBLt%smiG0(!MQX
ziyDf%^0vm?nE~TK?TxYwWh}{HJ;I%;ikIJv<($zohb^!BjyrTJW3La0eJ!Nm<KTN6
zk9la2Cfh$RJFkp_4Jc?Er-H(p+><rCXi)m-^Gfn8T{q$y&ZeI;#h<yg$O0fyXt4Iv
zdu8-UKeF_*RS`WY;YTwQ0e1eiaMVmtM)NNLE|0AgaQOn`WXL;!!-WzY_Z5{<Htte~
zOeq=Dv`>r#&H?mYE;+rWNC}S^kz&#~<xt_@>^VJd3veL$-FU;Ugqo!v%$QD+Fu2=c
zX_a6B*_+R4Cp#&kK<M|vDU?Ecqlo+jK?{hR=aamcq=4g|bK@rOC9qy}%WD<}3s7lJ
z+}ctpkM^oZZ&CTg&~Yd`V_+D7rOs^qQ3n~z(m9R~Toplg$8os-6yWBq&`-xF<S^`F
zNMN&*5QfG})XGEyh@UGauP)2t$V1*O&pic@ZQ|tYs13kUiUXejk1XcIIx(bs^PzLw
z^WivF0QFC;w##G^x?bwrqmspqx=Q=i{zTGX^#J5a(sQBenP0Ef4!WO9<?yopGKW(d
zGF@IDi0HdzuKe=_c09-?-xaXO91@lzdW&@>(FItA^TpZlT1oFSo@z62qW$9=c_5Dd
zhP^UPQmoi_k*)d=$qZ82!&NM8#L(OA@Xy3h7Gxj{2A9Rq`62Y)7pqkQx|&4S=cuya
z)vqy|zfV$OZ+y~XU8@MLoMA9ODa(SSBL;WAI8Y%<uc}+DS{Uc0?mj-{%!0+v#q#Pe
zO<=M_)<LgH2wenUxkw=kHgR1(yOYj2Z*zVzJo+t&Y)8FpnfJ4zb)l2W-3((m)Nn6&
z+C&h)5AM}}Phvw&$$vgk?8b2N+D=aKTmekp+@P<-!;axs>MqDe7=cVqoQOS90B?fV
zmghtcY$-iwTeWNmhhA#+W>oT{)XsyR>~@@J_4$&_#b87DDgS(U=?Fif%}v?kH@VQQ
zhBG67)c{P)dk$aH<j36cN%ABI4~~)xq->)NKwMNL#gm^OeJlrCR5Ex`MMzKRKRyEp
zIkZjTIU7G3wac$-$nfLu%e2^aI%k&Vx~2CC^CRaB*AEdU0esO})qB>E&Y#kPHJXO}
zm>K5w^8H`BZe?iWME8HCR|A(#{rU0jTE0HxsvvTdryU#()B}e+hKPa}{CL!m&=JNj
zjJ0P@hMy+t!GAGV{N%+2@De3Hkz^!-{;IC#hnjVvo|a~mlO%v1sa>agP7|;uok^G&
zp$i!9*t;eqh#r!`fyu8$@$sN<j~G=K6ne|T_B{|p(m@cVD2O9x$l*OB>pDQK*ZtP!
zA%vZ;gC1STmB4f#i)p?V9WbxCc{f>37<27g?kZ~#(O}>0AC9+mU>oz!ptcoZyeKVe
zcDG9ko!=9``b6l!__VN2>x2lNXtNBHxh8|vg3i&Z$8^BT=x=D%Bmqs;9geF#CgBGU
z&wsHVI>6MizXch@Fkbx(+s=Ek_{r7q+IdeMC@rzi98(j=<5KE+?RVvnm7hUOGC&8y
zQ|_j-_)Fjo*15|?56QTv&wcjl6&-l7|6zM$y(G>j6hGYiS{~;Ocgb+n=zyr}RO}^n
zDNIsLIWyU-fGfOyKdS!efP2K7Ig?UpJX!WL<JFuZwk%FZ_tJB%U#3w;mq<eCy!Ss-
zxs-9AW4c06r7nDE6fE4BBH^ji^M#(WD%j&(zB5Hb4{A*nqg7EBS<Umz4r)+vQuuk>
zK#d**`9Hg{DO(P0PBo=4s;gq2&;2Sqqz_xwlOm3sBV%#T!;nRS8U{TO6j7Hl07fa-
zhpoHhaiOk9ard|y67O%di<~w94dvkts+t1sdJuN;MT$BGpPXd#ZZ`yBw%CpB8w!}d
z=p0cjpn)g!w&`NM5hypwu4*(YqKkFf-BwQxWZ3p2{_;Cxs96|VXp2(9l-b`=mxDC0
zHSvJ>$4(PC81^D$grba243ry(95nD-Yl=_nH!2j5{&f<rruU`%i~boC>d3L>>B{i3
zDd-X%YfW`jP_w_46i-!0;r?A*-&oB-jCZ&)IbH>i7xw?uwNt|$*V4G7Y&0nH;5PX1
zN(KFm_bcussp2h9&Bm1l8hDXwv$NV&Fp#exVRw}ZW^<6lyAK0=KXd-nnU^Xk`8)8P
zfs!&d8QxD&K!Dr}`&*eKR50Upd+oHpBI@Q5D||UEz~oS{06|&>ZLHb9KhKp%MbDgR
zdrJ$reUf=s$_-_dwwjOgs+Yr^6BW9~-WFiwx;?^cK?%2|9#c6^?~A_HJFB*zw}7{M
zf~4GalrWu(c`eOI8l~o!_3h~T(PN|I^Dc^bZ|Ozin-&S|*0v^P_*g*Wx$quVUj;mn
zoA=V>rYJ@=B)u8fY5{%${Ci6M<gtZcYb^4KFb0QSSS1qa=kiXS9``2WGWT-Cn6w}o
z{YjGa83PELwB?U;m&1p%Dph&U_)zx!Cimt7fRgO!gUh>QQ7dLcu;LRJeslYksO<)D
zhmD-CwS$C<-5;o*bJ+0)r6kdf4?raP;5peF(zv6jDsXL)1+Sk;+)@}ugBaB(;l1TV
z)LL1&>NUcI->;9=RrQ)fLqba@bH4<Bn^+g^*v^QX3!3%Fn&v=~Vt6SkFOITbtTRIu
zHzB2!vMD{*49c?ixke|7qSUXFhYd#=(8cu;kMDpfnD|Pn4hj;`q%F8DX>FtSMcfvK
z3O!TkI43;v@1-#2(=PtfeY;WHV*V${@G2D&|4!5r>D*ku<LvgkYz$Zy!nx(zv<Y}m
zYd&4_6U3?7n1zRj8PLAETS~{y1d6|x8vF<nKtqNq;ej~@OlP<g<MYTEKCK3+vE}ol
z?AXeo;(MD=Ra}+%l(;cmIK6t_{R1DWJFP^1jAld`hD&dPVvS(LvoFOiix-a<%*EPA
zFyY<Lm*3?6F$4{6vjqF=Jjlc*{X#U088=Pv{@Ubg07pQ$zX%l7Py0KXxlwD)?7CDd
z3ob?%TD}}L0H)5p*WI<a5$}CUQIKH69X!`vh7TBkdOPQ?J8!vAsygrJ!;9>gwaLlx
z%7{LMgh*_PzRZPLj`_Do7&-A&G%;?(TOT(2Z~96K;=;$4>vqR-xzKg((f8GPJ-DTK
z@!|-*7o|=lZJc!GLC#zrXO?I^uv)Bsce;ZMty~1^V^sL?RZf1Vni$<@-t+UkH{nLx
z1hIo#uJEISAKTZG3SC&0QxDT^;l`OTDywUj0Jgu<>8hb~cx9s3vQ88a8m5niX;uni
zX$80ClO-L9cy5Gw2Y7LWKzzsZRS50P&zDXX>VUklOMj{tAC@_=|JkZ2g5}SCsMfpa
z!2OA1>RLAZ=+<TP&^UsC>S|HmF9meq&5N7@yIFqxbpMXK?u;lJY<?Z>+NllIAAR_u
z$^|gzw9@6^AaUdv<+riAr47>BTK1L^g2>6Yb3#pA5;rswO;iK4A*zV<OyDTJ5AGH?
zX5CFhk4V;<ksaE=v1hAc$RS}o#}S<AUnY$+FMf_X=xIap?}I<s&x+s^azkhMP7*5P
z^lZ42HvEiY|6!a<K)&VeyAJP>MY{lf^{aH<uyA$m>=#iqTOqT>_{!nRv6-^h`q~ic
z_dIo7UmPV4L>wR_lCkSbP|2y?+Mp3po;_G7f!mcr6F)tbM{CN7R)HvOxHcCX`hh~k
z-eaa$=6@(4LFdpLg?eo`#$Xku)gXnra$6Jnm6R~i<F>1jm=5@r4-fPP%ix$9W1*S1
zGLpCd)p;MK1N$=z6dChKxb)p3tG`GEpY$E}vSX&_^%<7;k_oa{^j=#i<O>Cx|Fs$X
zqW8Eb`^;CkLgmoj>&!qeC!O=JbH7P-pmTyyJ!i>jGQK{ZGFwPi#|$~f?0lj=G>#Kx
z;J7@N#8HmqlQi&f(OU7?CIfgn$-AC(NC8FHVpSWKG_afa;Q6i%1IW1Y;ofsPKQ}Y&
zV7YNelm7lmzLSDRur}98K1lB!jzhGQ+c>q*@2LFvC1Yclcv{q7CaR1rUyT<B<+N~w
zQc3#cZvt9o*-^*8D5JztLvxC#7XJREy|$yA3N}AAH8&@zpujxA=USsC&i$DEMg3(8
zaNckDuOtO$0P6M%Xrf;dxrIP62W#8<&>NR2cy#|tY6rUpeoQ-L^KLH<zMPj*`}LlJ
z{vYo<wpXa(i&!O1eq(@wEB5Rq-zoTX%Ja|=K^32Ah^!bs1Nd?EB}YXM1?x`mQ5Zl4
z?`u0sM360Djq{DU({&1lYhBA(r7B_Ic;MjX5DSQRB>#3&r65mC{LOO`3ix$7bAMO0
z1su6^*k&f3o@@N^Mx8(8P`gx#Jz&BD#`xl$Dtnc&CvDk~3rYB?H$G(Vss)(&&1UXi
zQo@+^J=~7AQg~)0XLtFs1w8%z%Y4^AMYL*uv47rC92ZW6Bw3DGz!TZ01urHQ@Nw!o
zk#tuCrSd+t_|{m!ee+fGx9{Zf>cxPkl)Zwu*Sp|C?IjC{9I`uq{RSEPcI9{neda|?
zX%(NJn=ODfCM9FVTMm6H2Qr4*IIyw3_g2CR0JG@vms*Ch_@K;I*C&|;dGwsi7w-a{
z!>uMexk&ix2D?Wj7b8k1+TPpY0Px&t_FH_X6lQ%OG#Q**ueIF4-gkS71{RHZckS;<
zqU`lKwPC_at-orR!K@YyUM7m1Y0DNzqI=+lp{~ERU#|LG{&dzH3fL{ilK&IM+Px{$
zy@?C8MjfF_<SH`=RV-8(9T!2P?+G#eV!vy{G+DJ28O^}QmB~TEQW)RNWEUpypRdh{
zs!026YYMS;MUJKQf=Dz7j`(OWUn|?<F*KD$h5rEn0RR6Kmv=nX{};!(_Q=kTYhEty
zaE;7+P(}$M3ZamZjJEh%A(295L{di6ETr&x%S@t0Wo3tG*xS$V-}87sUXRB)@AG<`
z*Rz$kxy{~>AN_hf@=HEt7UP(?R@O183ynWBWNbD0(3hNEvnTd*m}_s{nNCApP`yow
z`f1982vQySqJi@mnYYebEJFu8s5=*8PjI7!2i-9d9~UqpTXaUl!fxngSsmAE=0wAb
zNd;ShOIX7FlFhG<yCH52?-hNV1I1hMGld$hV2KY0=N#*_A)b+bcuboencNz^Y(ihd
zzE`&21!ZmEy}*9tw=o;)R`__Q-E#vgk(?<_%Fu$?_czt-BUurqdo$^H$riTd=<}Z*
zw-y*_62Gy|upq5W|G;@3Ms&eA=cIXzCWwkhiRj0%pdZbuU~?FUp4s5VDj77P{Qa`x
zMGF?x7}+&_=>-!itYFknh|++OL+HXy4Hks2wv&G<&w|!zk-nX*8ekX2#9X(R1t~5X
z8^k?fMeK3x-M5oz5F#hu6dB5bs?h;&esgvdNOzE)m!g3d>sD>;7ZxO}K=Uiu;y}hf
za@E+&)gj02!F;g|EBa9PE^zcS7fQJ$tF>&Q4r7zD_eOuSq9*Tn%d(ao$kZbI=iE3I
zA`-4v7?-diCb7s8!T>J{oO5c?yh;T|93RVO3Ojljqql$G4u154Slq%)rNU&_NJmCG
z2ja?{RMG|k)UD_#Ryja{`D)|I0mO-(6M`QWTopv2`}vGYQYnyqTHSPrhZ}7b#veQR
zO9+`JH3#_|plr|IwfJxJ4x|;fD00kO7~LLhBLwnNV1!@aCtZpcwH@s+J+dW&*o%gh
zKb4bVEg__$HJA@M4AJ@oE5uOzc#Ie6Fc~801vW#z{K$Xei3uq|0$Cd~i<a||!80`I
z;O&b7Xei}FA5Y{i^pNZ&>^?w(g4IvArg8*PkFsA+Te>t#=9jXHZ6HCn|2l1?UkDkb
zDZRo?;?Y+-BkQ_1BygX6BonM9j0l#TPdr3qQBcmyJ!{)K$^8F{PCOPttHuv<3LWH7
zh28Z7Q4(ZmUTkvl&=x~8hLYLi1@b7WBJ{)0P%;SUSN~TtD2~qje!!N=q==5&R&KE2
zDDY#`mhD)9B-+gJ|8?RN0Ua%17vprHKoxn*>t&1-n)TZE0XL|GMlue02zOB6Z0$FE
zogp3>bUvqVI1mv+p;t_tsBqU$eW=+~2JMs0KbqC9g0y5l{*A?L?}Jrv=g47MB=u&z
z=7o+LdMr}@-_=%ic(Avi;OA*M<Qd!>aql(>y>#wgi!7qSL2l3U^C|L3ewO_Wt(%Nq
zA3N0ht4sq9&V9P;Tdsh@Sd5*QFHq1wa=wmzmnQsP;bQ*YsfadjFbflYQIOlMxLOWj
zZMa;%_Ka<efI603%47_w$kyk2@?g+z2+A(&-uR`20>7tJUG}4*mtm6yn}a$~^)5S}
zIG~LBL`U!bzfO*}Dr<1lgC?&{^4%9iwBeIB8L2}>SE3#ieH+yWcde!ChkR5}w8ykT
z`WFg1R&*ye_=F*B+|&PEIIDt&_&*b6^(g3~QS^hR?{s)2pP2UWfGSdTmo3p4AfZPo
zg;D*P029fVdhefAMF-xS>-kTqqW>np(R(zEAbDWne2Awi3Q%<E{qHdm$@I+hX;d3Q
zaO{obB?(p3_|rW~ouq`UZ}1h^%Nc{LW}E12mI|ux?>;7ST>)8Fn3>E48H3xc`~S>-
z5|Q!)Rq?tXvdBZi!`kq^F?{tJ#>#L+B*_<0_-{8JiOG(-b-pl$-OS9dPt7Z#6Vz){
zdz>VY#Df5b@FHWF%U}QTv4Mb;9#6l&m?4bXg{1MK*Nx$<>*eTA7Zs6csI5NZ9sy+4
zb?yn9lQCG9nerq`C?MxYVMYmGxe@P`=AKO<W4K&*_0X5+a%k;mP2@f`Ry3Z-nDpe0
z5n%Bj*Z-KyqDjxaHnvw8kkeMX&BYT&pmD(VyyXxck+RN>&(tqrsWCWG5R(zKUBB?@
z4YM@*u+!yKkI7$bN$5FACL2Il=F2UUW0Gk2evHt)FQb@g7)|G{I>3;E^3TlyF{GZX
z_n$Q9H;l=Ct$r(+4rx!b_?DtYkbJoNi(k#nSjxM?!KGS5;20zy3%A*cUQnN$><fB`
zX%#mce48<Vc4v4RY$1pqWvAL|oynyq6*rc&${4`TA#QXofFEh)ez3YTP)g6=FI;`u
zNgwW0gUR0Eyy#xVQuMo!Qu>)&VvkN|=)tZ<lO+5(ZZtkqTwgwapT37Rqr0(J7ap@U
zDb>|-plH?Fli!(>v2?vio@jYp;N#L66tibT;pxh)6Y>?<owi$7GfwNk(|kMQ1R4vv
zqnTbeR?>(?wpD5UY}yUwV*wjdj!Z~N>a^(6OeZ$SKeN6^YBzB8r=R{<&4_aCU&&{0
zbYbWA@jQtQ)rQ`$wT(|47?7Hq-5&<4K8!(tQQ^OSEm)_`71kfz!~)JdeD%h62xG`C
zacA741*U>8M7}z%W1)i`rWt4yOV%wv{i|3LuBZ1j6RK9RD+lr_sY(-ASjncSsFWsz
zj*&gryjL*s$#Cobd%v(n3)yk+6b-oX{LiA3$1*nj_4Nvm@*nJl+jBjPecSKc{|Lf)
zOPH99`Hygqf7p-F2oh@y4Yn>abv4K=VH0~^9U#)@FynS6ZzU!g93S5_z<L(3_>B<l
zOT-1tY{`amXPi1*-`Y7O+qQ^xyA=8kD=lFKs|L^OxYgkr%ka<o=|$|-L5<($hAWty
z=S-wTIu&e0_kG915~h1m!hbbj4Wr*uG*nQa0_%?8T>)>FFcU)!QXaN}6`t42|6WOf
z2QTxmOQ)By%;Hj(LU9IE`%$<?*OCI>O;UBwt+#bMG7XFT7}0dq8<f*VhReqbq$QnJ
zvB2_>+_#@_$o=4hRx@TYnAV(~HA`K?9*;Pj<#k|2DZgngxA&6Z_taj~!z=5UB;&K;
zmL(Px@Onpd&2=?kvKf|LPTs_tuSA=jea(h)8kb%$45~um!ZWQRH3qbv8J6-fp96U-
z_s_r5QH39roz~fEjA%Xl-u~VyE+l{J3f?(e1!fIvxF;=eXkvYF;QjIrl*0PztUtR7
z#I@MWor_^YnkytsP>T=kCe}LN2`7TyB`qzVAI#|TW4>6sM1Ith<}6UTr3{AqOI!#?
zS<&<%Pv-nh0i>QHZ%}(p87?b{9Ccw}M-^X2E$*fYAx^EfD?^IPaQwmL)<5q!(8tw(
zBU2W_=-uLJ&y-FjIAa0PtPNbqrTfMiBZ4TxUK=b&#Vf&Z;^8Cf6FbnEEUnYlYT`&S
zrbhjhof2rdXm=Ok`H;C!P{Tu4Ni_fc*?bO72@(g*V<x=$5va{L=hsT1PRW}%1{Edv
z@IkSfyIlbJmF@|ZF2p0rGfjIG43vO>aB^VYN(ikhjMo2VkwuCWpQzqbN+5^gV^7TP
zMDf1Z=#_9ebl5w}G@@P!szXM1u2+embNM$v+~rk3t-o|6m<_i3GV`lpyDx?Ua@OC9
zzf?pbU-*m{#*~31Txl3kEP+@mPwEYyQ$pqk`;Pd(Ap+A>dDO+hU8t0qq7}cFh%C%~
zxK_TYfU450_W=n!5;<smltES%1-5g%J3~=}9qxqI3`ZHX(m>j0&P+mgS>80h=p+Gi
zzW=T}d9r9CTJ@{Y2pP@3U+TH(N`br|{Rw~9<<M)I1&`Tx3Ob<EN0Nx3!g+U!2hCjp
z9a<Vq*jY|R8v6!$Ox~#jE#v}2TdN|9yqOw#?2I~EHqy_JHPHY+S87!|MG49IjqqI%
zq#;hdXFDUtHQ|J<Lf2xlGTIyZ{_f8!G<2U&_qJE5HUwO=*eD+)qU+2IIMrqv`nxAL
z=;j?As7SkQyI)upy((}Qj%}o&44cS4!z?|R4*L3Q4?ztLo&G(%Bb0`EvFx?*0s{zW
zu&|tDCm~(JVDZqXI?8@m;PvV;9b#$j3@fE1#Kvx6M_^P(f~TDDX72#{gbvSM6egpA
zk;{^AKU0wG-cxM?MMm(+drw)kIvEW)x^$SmBcUnX+Q^w;WB8KR^lF8HjP4chIVBda
zf`Xlrg=Pgz;4}aAQnn}(>c7)^$aRZ=`X79DcS$sXsh6+sm{+KwfOY-AfkX1hv1u-L
z>6-~ulb>|o&D-vad`6aBibqAh9S7CdO~4snmRW4Cg5(RV`|@1H(JBW{tY^stzL<P;
zRr#!pZW&|+?d=mp#RERF$sbJMWq*q4EKv!K`l;n)Y;mEs&%&DG*Gz!PwzGuhqloP1
zevmgYMl`8cI#Wt9f!R!x&C)b^RL7v6{ZVKZOR*|W^=>o<9j-=G#d=w!-{6+!9`+u4
z#IEjAYiSG{8<E$>{^F7TOXCWem>+b*;SU6t4kMWI?M*jvmO^1CIRA8y{-qBTj$Plf
zG=hkWWebg~+kT5+O|L6iqRTT9E?wH5vrkGnx5`@)G!Ph*vMY0)P8m2Z|6xBsmh)xh
zlkGw%@A2y8)`cy)%U`}*MLBdx66xKw#3q2G$v+l_IT<0h<eYbPks*ZHeYkOOl?RRM
z?I%j!WrRmXA6srW8NiQ(42i>zoJcJatJ43(2sfAPT4Trc!T(L>k9s*)ga$+O#TyvG
zBX0WEDL#FuT6pK@>4Za?j?&gEF^mxK2O}&Q>p`T(vi^UQ8`$8{HY=(!BiQq>GZg)&
z3l5LYJsay@!uXro1)kM1KypW09yihfrO-HS+f%bxo61<I_W=eNANN4196I3hySFJ&
z=NERsHAH%-ev4k~$dml$$ZiPB3wGQ0WEczE*YEsrW0T%TsT@__-v2$A<nyDF-Pm`B
z$=NN(O?v0*;>>YwZAg3IE?vH>9xHGiGS&OGL3cdSoG28a1ut8L8_V6F(Pip450_lt
zpexBoHU0ad31xZ$ro$iG=^jZv4jQf-bdlE0j+dYb^WxBOe)l)}@+SMMYknK_ZXLa0
z>UK^Z4Rxn~xj9HL^}=PoezHNwS)UUpDQdvJi0>=&C8P9=;#Xz+@tgGQ>BN(9_h>L2
z84;0nd4e9oBYx#-`zGD*jB2C!E*c!$2-nxZPtzrBR!YiCx9D~b$;UqCs6)18q)q+p
zKlJgepAtOY3_u9!cSw_0hy6}MR?#8<=vg-|eOD4>1P0@GX3oV_xc@FDxl4AAZYQOp
zmEO+?cgpF9MD(dpd|Sps|NT5Yxu9VBVhawg@jTXTc~5~=lP;O+@I`vn8Ipq1Cngw9
zOUgRsK>`1qJHgBb%k*4ZQ7hPD27BpuOoUZ3G(`mL&)u;~w>rXKn`grc?}r_vQZ>n-
zuQ{ImYhjJ98R%sZ*~$i65BXaxLr9=O>^0F?+n^g<R$H|7<$&kDijkR3YH(A;gUOSh
z0lKwoA5Cd;L8OgtSEsld#BWZk;&d26pv|t$m%0N!W!qM|g{VS%N1Lzu1suF3zDhN9
z<Au9Y^B22@RN&7BqhM<X69k>qc$+`O2jf8lw+8H0Kt~7_ml?CbBTfF<Mv4G@+T}~L
z{!9eFn;kJ5U952aRh>BPo*)!e_dZf`C4$=7=Rf-r+2ORqqgH+LPGF9<p2=NQ1_Pm$
z?*-nR;QfHrc<+cXa7LvosN^Wao#&YupZvLjZR?bGb*(70e0XLY<)93WiqB4M=J3F!
z_Q@BUNF18I$DS3-C__xJT;!ifKFImy&+hU^5>Coiev!Z_gM&`vjqG-QcuJDF+_O&_
zj@u3&zO$+XM>rxzyfp;j^MtI$^(j0As+4L3^C*Lo>cphND<L=<>2v;;nJf&7Ec5#q
zDMMZLPRk@WVc0BKOS@Sk2fQ}Io*&Yc;b}z79lW9_7!z`aSu7Nw+OE|uL6`_<WAe25
zdBve=wz4eamm;`aBGlp<h|t+tXfG}y31<z&ul~8O1X;a_sfu|j@VV1)&UT*^Wb~h6
zb@d@av>4YP(^^$vXo!(mJAj8EU50mewsTMQ`l9TF2njaNMKkbUk%2+~iorl05`?|a
z+<&f`4DL1~q0Jq#(4EM6G^n2pA>4JF6Q3z?O=m4AOI98TVYCdl?Y(RqOg=t5M+Lp#
z=MQm5C_q*M)9_jr6&^Ki8cQ0|K%J~(6!1e4nu0W{6m8XE;`^NMvvLjiufm(DYdc>A
zx1W3#Hm(kVwzquVS!=-;-@84WH<dw*u_=tzng%TrdmRq*?}oaMIiU}_iC|x|db>A@
z2JyF9HiG}^z{wk^TV+cHto$+)*3Z$PZRvgieMApbb7*ZTI5prXiWGH}r-5i{uqbQ4
z0T?9^r5|*wK|1%jH(l}SP=eo_%k7}U4pxuh>R=KKIs06(%A<nQ)2#Cqp8-y_JUo8o
z9SK}}g!?2fQow0+NA8}dM!?n(^0%#@1ZGA49YJ^!WSjq5&^ciY?<uvZtNA2oJQVME
z^dAw#HY#5mZW;s6=C?;h+wal@s&?+UOn}2X67x6$O+Zjl_;Zb&8rXal77JRI1IEd<
z<eEwo5D*cg^6pWE^D5KAt7q`AHJC>K(`5qu>>F<-SBYSz89yejEDm8UFXw$aO`yWI
zJ5M)K84_31-Hwb4!YiKljoA-PU|!kRy?uxPwh`_^-{QD|IvnrH>S+S1nQ2`Yh>9>E
zeapS%2@cYPs-xpLO`yN|#bU6RJWL#Lj&Hg?PY(!xRsA*B7;@W^rslF`q4`sr9I3R2
zE*v7St*mMcPjvCZ1KVUUaqZjneJr0a;;G;2Bc(=A<XBk9V<rX9;@d4WFHK?ZtzK~?
zs~Z7Vil(r~mN+zWQC_)r&tY;keriL{0V2v?$Y_p<Kx^{psQdSpG4HQWCY!VX{BHzd
z^i3h4^;Qg1CfBfxhImWi5IT(SotplBKmacGcojx$Y+%~!y(_DUhM?+fr&0BU7mm#Q
zR+p6C!p<MD&k%TM0AICve&dw6AoN9>V9%8;OzogW-?KJ-@aEk#y(!2B#E<8`z4zI|
zGCnOGt6kIs#?J2UL@y>7thprcergjNa}_q+B<ew}%Nxr^Q3i;bvRu;MP8<lIe~80d
z7k))1C0w#xrDw=r?;Nq&z%H~53Hd$Ifdt;;h8x@q^pl;Wa4xTPtZKnU?eY9>`11ab
zT7$=5`ct`~QO&S5tW_(y-)`@2$ir=ED{SALq!e8Pj=WW@Tj(SkL$)@EYRlJ9$wTzo
zN<l}qkrm9*!d=vASquEsEJts;cG2~ob-$#VtY9O(ZdWFcXhBor@zCH04Rj1I@1NGX
zjESdjU5H1TfVZk5o>>Ur{*P+?mh;QlqWPhpQ!3jWYHU)!JD>rxa;PaVuvx~YrKpA9
zvos*vvG?yKu1}a&eL+W&!!nk@MYL4l(}2($9$e<R-!UHb&fohImoXu`7X}6KG#Ik~
zdjnYxVtkcp`?h{BW6R7{pS4(Mu-H;w!F+85Yrt`~XGX7JM-=^^*2JnqpFrH+mF#g$
zx^@gVXS#~rUw(|2;#7yOJqP@}k|r@}(~o#AgEee*9Y1TDN`>!YhmDqer!kAnYX@ad
ztYayJ<sAemDje3Bc;j#Q2h+rbWVbhLU{gn!V#|vtaA)C`_yFfW?AE2Z1GvLmSWi9V
z4FLsoG*5om_1`QO-u|>dEtLUjv*|e<FCl}`$3GWFR_Czze-p71>5PbhpAfTmlmtD7
z$Y?fx0ejj%u*dB6HW$`+wO`uyvt7Vbp?Q@hto~W{j5s4R$~F%Pkn~i8P=gg(!o)Im
zz~r0Ss2>Y@iiO^>Em4JLp-22j8&)yT=)d+xYpjT}_wl1cI92#JQEjPGzm6sR(S0Ic
z!H(cL7Z!9>1u$QiuV2SEv3-4}l&@Kwh+6QLnWdfxzSRubud^A@hLTnKYB@JDbILfE
zq(%gf*QdtRelVh;T@zbZH+hgy%h`auJY{IIp7u*NU_zTxa+m$<`OtX10xz??G6V)i
z3--KXMr-6cHFH@3^qocQdRmDR+^%$-BssC74?oX^*yRhN2y%b+88am)^_{C3mSRT(
z=Pwwj?AwXV!@5^yrU`H;&|Ll!HzzuMSLJn#un20E@HNf8PXOHa74yf6+{h=S!4J<Z
zhB7A}t9g18Aemjb-8z^Dy|y7xs?;P<g-h?}I3Pfq7pM2`i+t#3!kX3Kf4h)9{^^Ng
zG6Bw>&YctZ!jI(ZImLf(N+X3-xwGrq1h|*u-?G<A5M50f3U@mqgOZjQJw=ah>)f19
z{4^niTp})t!FyR0R8hukkVk;VmlAAQ1;VI&k^K(YSssn;YrSg1s{~w?LK<dqqDWim
z&5fHlMf9bbdi!yq5|lsbbd|d%j>K9H_KnmN(ESbJ$?Jj2z?iW6%Y2n2qWTp@A5T+8
z*0@}1VGt4Cl$7^3a7d%kUGZV9p(@BW!ka~~Oa(e5MMMuEJQ|$dcX;Zg8u~FIx}>&S
z4RY@^O^ff4MFXVV^G>d0^u}$mRB;Cx*v)z+j`+%<*pT?k9QhPfn-$G(m_-4t7HjXF
zpXAYaz<5Dc5*4|Yt64wjqr#Z=N;ug>5gG2z`Woq>j>wnNm1HexP<VE#l~P4OJX%d}
z*Cl8Om(LXGKdAwci?z*Ef->UZn^81-Mnj&Xz4kxLv_R}rLtS?Q5m82+pNev5AlJJm
zEAhFzfwa2j5b#X}G0Zq!3@2!ya%Ju_$DZoKnE&xbJr*^T)xWqnvq3}iCZpk(Tl4{+
z8!0@`LPC$MrN2bQ(vXV!gJsf~AzZWcDDv$jArYg<5RKRBsQ4+%`~4vRL$~c_jyaN%
zLsu`MFPDnk8mbfB0=7Bp_xg>Cx5?<QZcD}^0}7%MeLIrPje#*F<@3U2GJ5x~7Y*vE
zAtkSTuGTGMc)K&b;S8RP_FB|6h2|@xnXoR}Y?28?6l4x*_>)jF@6pr2y$Z-IFS9cH
zj|pIutxj=&H5Ar#R=|^876~}3TWZMf0X==+{RT>^h`eLzaAU3{dh0MH-mkU?`uKX!
z)1DGh&OwQd;{`iWkGJT|EZ-gw_~u3=F)E{rmHbXSvUpHeuegcrXA_WPjf!H`CZJ3G
ziyS{rF`;p5x2}{>6L38ux6l2E0(#@s;BH<shuJCxd0F$BKx|Oelf^S~Xt&NSf@paM
z7O4L>sW9CbsvpTL>`IYAjky=_c}&Cffjk#{kFYVEZfw1~cv>3iUgOO!7M!DBO%-QQ
zOEm)d2Pc@m{**vtQw{(1Rj$&_bFEGeavMR0Yk0e4q9___<#lqFXMjRNp!WW&0Pd*@
z-Q6BL(Iodiu3G{)(Dl^x-ed>36yuU$ab5rsqyL>)uwerE{+~*HVssF5+?U-D&x_g~
zUl{+z!VDrOL>#CphJbsUQe~6PiC!O1n)_kP3?HO+=-8SX!0)<LduMr8B+abtsBF&+
z9#8LiDV)@YvpYpcKTF^c(~BF-jxx+JbI)taGE)!Y@@f+eme;X*`m?x#_e@}V>S)H^
z54v!?GTB%sbP>Dr=hM_xA0`+R9jXuG)dgJ4!c|J?U#z9y#uzqnpqA(m=jxyXvV%?B
zXSjc24Fe62>@sk0KK@&(YyNIHA>3MARo08`lx_(WH^go8?Ah7%Wo_Uz%OE(VHe;nv
zFX81E7~yoG2d&jk8=e(<I*}Nk(%&^Mjbzj_LXD;F*P}1AVET$z^U=5ubZwou#e_me
zNN>tTzT#S7dHO});ITfsUXi$?-gX@w6qG24)r4IO)iN13N9Z2<d+~N}7(t_&m#=F<
z1D+2TSe)6u`%;O!m;~1u!8Kzz{H>n`ygfK^?w9Zk{YR<mflKx{_^iYA)p?W#XNklu
zo3g)jv-)q%C)#mPA>E}IaGVCZ!aJtl*38lcukOB4?8yXQ$8MjP8r{y__ay@ESI*M|
z-$*cMN-@K7Z5-2^lj`tHHx2)<aFKp2{od)d6=pEld+5o`A{EXgdYBpCUZyW5;POc;
zEHEDwY;!7(3U2ca1Nrf*^wN&^w$xp0z?@7CH5aEs6-%s1^ObeF8(ttO-<use7t0&3
zms8*pNl}<BbCbSOu!}vQhXYp9GVUF=ra*)a1BdxB1}H9FtggAh1<nrVUM3Hb!Ls6K
zr+O?S2xiT{<1*d>Z20PNVG<b<9@H%Bzs5o4+36lReO|y${Lp?GLxLvLxoTHdX6U|<
zublLP5AG=+_F^4Z1J{zoqBLI?xJx!SC5-b!T-5Q!7q)89)55v==O-&*R`y)w+uU|d
zGdecsohlSu&o{dg!wx>@CtpfF5Q6(;r*CZsRUz$r>SU5JCxrMV3!b6~!*bNau5;rm
zFkZ=cYQF+E#Fv_!tr!vkYm3>VB8e)%W*C+rN#TKtgkT)oOEHkWCA4+YNCix$hcdNk
zd~krJm(#660zTxnoCxPqft6OSz<w`&U>dzby574B3=EZ=%6<_c&PA5{Rha<r_mda7
zgz=F4jk*2pC=uRrRpI{=6@vWMAU|e%8K}V}oLXKX!g%5AMqSoU2;)g<8+<4W(bqb#
zA(9G=ou733qb~yg0{{U3{|uLRIF@Z3hVAV6B75)kzOOx>%V=pRp;8hml{Ar+5=BND
zQXx@BePyH+m7XUN6%i#NTL_tzjC}sR|GJLj{vFqKp5<rkqufPQ(OG3@btgs#KZG57
zY!;TI+r|7#e3BYcO}bN?xOMT?VSsVwn>1wUir+{@4WuOOO$vLe3-{x%qy#%;QA3OW
zW>KMuwa#BJvER^x{qVu^_<!>77H2n`Kdg<^uLdVYAL(OqbFXJlh9df2Tg8N{>f$?>
zs@MZgI*!mgh91=_LHAkY^uZQAOnQZS-)f?xLdLJKmrDho%_c6LI%9xiwTlE<#enSS
z3G$tzDpt1@v)_)V!)E5ONX<7UKK`x?`IxK*zwDIKD-H|<=AExOC2NEa)e=!IUFx`d
z;8?Ot9|IOXrMk|M#+WRYxt*+`iH~JXp?=;>#I~N#9^f&BM6ZQtsgD*$G8{RDpD=N1
z>ov~T56!UaDZ{BRK^we>Pd}?@W<sz=XwA$~3w*8^$qGu<LCT8MXrXc@wEkRd5V5tw
zWb|ElM(N@_)gtBR!^Cv0xQd0C4GNUxy)$g|u*$Q4MyQ$rM)}^bXRQQGI<tb>U+W>m
z?^8+1ART=HKUwxy0{@DA8-@7wF}(TD{L~EtXq}i!_KUGa|9Vk%Sy6plxO8CWqZwV?
zJrQO^8Q9?*(~#-fqz8cy%y}11ZK%DKZWAuG!_0EintCTaC^S1?BHGolWx@VcldL`J
z)^B@%EKV0&6P)B0(^Q~XzUkY=9rjT2du&@7tAqOI!7opGD<biPfI{C1d#HDu<qCDy
zM(OV0Pi$AEp=ovg3USmPtbtRjI>$B99kMkxwTXr|T63pQuCvEMmJ2Rwhcqy_Vm4+s
zgfNw|gV$Zq9zWb`Pd)jh25mlPr86>ID6wfv8F_98*XuVv-qcq`kAE>CnKVx%&Ir(r
z-0g7WjqnYjv&z`~MbkQkb&NRFZ_ipWYKvNrRUMLDinxBzb?d?OCc^)l-C}g8EgqzF
zIkzRqV|Qa_PkQlt^4uNOm`Cik_@}Y%&-+jra5V^Bj4A0QZ#^=yu8jw}qFvAbyR;lL
zQzu)LWk$)-qt^R!X#o4O?ICkt#L@4Q9<KFyg50U(vRj-WP+YU(oXSQqsFsaK<xNeI
zXPheHZo1px^m>{%=e#gxavBO7RezDri8b6^;nwJXJI=fBsQ^BR?&Z_G`HTD%wavpV
z*9wuo9=qu6JQzIA5X?URi`-Ew`d8tLB?gx#WghqDLLh4wE3fb`@{!6O86_c0bUfa2
zV$p#ef4EM>1vyQVauEcF^acy$TEBSk?j#F#u6lB1xz`kVi#D41^oluF>K6&6^3N0g
zV`^9aY@H;}>3c3@becgwWU48y@DK60>!RS(l@sKfX|G2C3^ROsJ-NTDd5SPGWba&W
zGET}KvfbAmYl_XhcD}m;#|bkt1J|uyKgnsgBc{pyCSWz5D=V7+LEIgf6-o~tA)5pC
zKeb<Ff(LKAUL?HlC+r4m%mSbPATI{er3><naqNTH-#&B`zY<M|Zi6B6c2($`>&uNX
zQZC^&k<?1q<Zrni^>u)BIM#fxKE?=%=^AY()0&9K7RACg&%Tq^r0*fsIYT@Pk9Zl)
z{+_sVc41>dV?QZ;=U0LMF+({1*Q8&#k|Ml!Y(%nhKN($7XLfFs3275@{}F}zgw|h1
ziR!&RvQhT9&$@$52pcOt)+vu8H}F-bt=-c{vehU?X8mMf@ZZ`S!%@Yg<cGA~U9Nqk
z&uQ&_`vVy0>HYnBmkLD&y{xya59uRSv~GySEzsfil;F+@ctbL4E}NP+^pS%iH?|I+
zr{m$52l<!XYRTKW4qk~{`^iyA6$DAq!5G%9a-V7--5DOH>7w6B;RbVV{jCNFPB|R@
z{Z<p%GH=P9_wPH|_)%li(I|aXYVRnOw{9kL3R#^F$_<hm#{L|>{8$hBC-&A_H@A>i
zOgj0PM~2AK0S?CDVO^-pO#77vwvnG){tbMX`9WT}S+Fpmp$lIRk1q$+I>>!oI*r9;
zBjiAC;Y{a#9en9yyXJeMi+q^aac8XLCwWbCo1XPUZMfb+`uWjra%`wUIV*Uayj|JU
zIJlq%c|m*5|3Z36`JY$a1xqJL`s!mj^-fyYW~4H?L$RM^JIT1!A~Uu0kMi4kay3zQ
z=Y*%z_wQs>VpH;B?lc*yH>WAVt_kf2mu9v$43Y^o8{@`z{3h=|PB_13w+4E`58O}e
z{XufRR7|>HJ42pzl;-&OP9299#F$QMqojn)!_$`AW=Y4aH2Ym9>WI7*TCp>2j4VBD
zCEjy)o=jYE&_g9p4NU73v47MiNN>i^E*6tT(x2bf+el6g=fr0Av}H_^$5n@vx3jZS
zuDfDZmR(oHg}AyetX9)x{g}<Q?-$vqB9D_s-=$P>dumq6m-RQ<ddy3I&ngb;r2)rI
zmMj%WP3o!nPW>TOM}6kzwYjJ%TF5>xeHC#2sOzhim?c~D?DpG$o067$e<`d&8P6$=
zm6b>4$(brPAMFHQYBccdqYe*c2w1svN-SF>nKyTan$iTQ*UO_e*sv<2zRG$H+c*oA
zUi8$(wL^#!*lF4joUa5Q*ORLZBiX1d3$CJ|U=hkE)^ByDj}jp3dFiVK2X$%fg=dGg
z#3-dgz4shyO1Kh{Y|o~|MRl!oS@VKZoRTsSE60=~j+H)xpcyySz;P&(E+R?o)h}JK
zszDJpt(P(%M)Oj<PnR(%Cn>6Svx9WtOGUh-<vbYU6QG_<YpDBH$xsJX>Yv@A6wys{
z{wLD3l<!%#6Hkyl6<zg6lxS7NWmnH5wTDHh=GO^Vvx*g|QyVv{cnB%Mvwq*IOEO~A
zJlW<+TdPd1^WhwA-mL^1y#>WPV>Bw`_;gtirz%za`I(egmlD_)2J;GkN>C{+xwlPw
z)TnjG?S`{rm2pFL$B2@Q6t%6Z_+5RM26bPt>MZuCAo6YP<am$_bvVRZ-Fs1s3TgZM
zZXiMx3g>*wce2Y<9Wo01t1NUW-H7xQqfRyK5b;fO-la&f9D)CtcztR;XSYxEMGY7a
zKaa0&R-*oJzxqH6q*Hmpj0-6@wJ<JfZW-aDLY-w5E$Gf>P${;$mgB;@5MfWP`;T3X
zx?A5q(pt-;>_6AHOit;eJu)rxZ?QUMK59!l+G9wq+VDHPR-J)^s}s3a_-RrDD*83G
zEk;y%k;{;uup#6Rzqz$VRhz0)SfeSLWlXKGXWZOwY>cb7?|pjLq(iN{=VHsNV?s3@
zd&{eN(G=9P(G;4$9@RQ{)_2Wb6YBO^{o_#*7O1)v7tzwKPaP33Olr0_p+tqUGG3Ni
zVa@kC`IRDcD%8+?+@#c)da}^%*ylwcextSivm`n-W|kS1Qf@@W)|NbSp9ik7ujc&S
zN2g-miaxyQYDnFNX+u5T4(e!k_`%DdMnA{c9E)R6+hk;%D`5{8F&W>`1v)ir{;F@R
zU7r#RRoZ__(E%TG-f!c0PN%-vbYyNe)}{ik)o)9#cEDaaGX9POoeHY)I-jsbjVhwe
zf9PSXfTKWB4Pj+KMc)fHt30Vl^_F{n?DbrM(d?i@5@~u=TH(2j=u%0F>9*hB%xwkg
zMLycumFQ6UPd_V<92KOP&I<c)%dUXV9>JBu=~`6Dn(WbcP5;Qh>W%M;UN}HdDs)!U
zOM_}ZpG(WV`iabQJZgU!4)8KhYF{s|Mosj;TfI?ioRGL?o9Xh<9^bR7xc#e@Da7qJ
z;W)>Fq`d6uL`i%2XrwBMMJrNAa*l<zi!Xyr(y5rd5IdYV<!{;jpDgwE>s}}GSw2k5
z7e0+_x5eGb)xWkzFQ>T7;%(}Kg)r*mdM?=B7G_*l9U_@D>S?o&e)|t$ob`!4n^Oev
zoC??(&n`kuYHeLnohO2beS=|IYJgQ&?Z!%PK8j6#w(YT?D45Z^LwoHAX#I_{7TC;5
zy}J8jrHrX4VtH?Ie|NM2EpBC8RNf-#vSRzU03%Vb6CF{7Ue?GhH=a8A{1=(UTFP-<
zLKG3ADn$<GtPpzDvF!M*A##21OL5&FB9P{?nmPY;iBGI|=muLik@{SrS!!h>U~5vY
z_MWzY`sLtC*NzHeXYJiI>v$22oZ-u;w6s9zk9g0Pi`~Sg>>?45y&|Ye$_{yzV2<w&
zd{zIXMhT;Fjmg;!B6uF=<eBi@49?fi_&SqQ#Jh9)d48)!Fo^r6p{vc1VNma68ZblD
zM%_QE;wplL?72vmVpBx_cjd_@a-Jx$H2ysjB!Z5*0~5u{rWoJ#dF13a7PLw<B#IY`
zAm8oK-6grfxaHtOc{&^Hct5mW{3n8cTw9`!E;oU-+On&@!|ad>4w#|s6~)g<p~osW
zjq$X=hBNsxCn9Ef4$!}gLRixG;~Gt4<lc$<xk`5#uFday?tV%P#cHL#LuE$T_F^4d
z+DmSDO}SiUVbXB>oIJm@vk~-lcYaoN;>Dfo;@{%`(U836(=f+`Ax!Ol^6>QX;g@94
z`hET4$PrYo>q{}j_fL#2wo?K)d(Zwe$AAR3pQ{ewaxg?((ak%DHH1JWZ0-BVz8uf%
zCU?D^VS<pieyMXr7+KWjVk;{tY!d6J$t+=F_Pws`GdB?!E1&hxyC@Cs+)Z_~FeZ#=
zS2jqm5ykvxMU9=TvKaZzR`Gfb6W!#)(C*b@&^2IK#a@tuxkk!SA7v&kFvBi}Z=u1-
zu=$6$nF6?#0*os-nK%%*^%^rs971{=9iJi;u_t*`Vf8cvHmRpp$>mBQ^7PZEHiwsb
z{N6}!z&HchuLw8gK}k6Iub0d^sJ!Hv277w{GVmyBcfrt7?&B|s#f3l>1Xuh~vlnIJ
zuJKfFL$)+b6iqxv&a2|Qjc<6f1rv*g*%fUHviKZ$yErme4ZaV$D~1D@aQqtkD=S|P
z)(#u)Tf9{Vf8d!vO|O{Hj^+AezFq;Bc^kWWe`;WTn98Hi%7)k?p4NGBDR;P4Yi_id
z77UraZ8A3uaYCq;{fdVYqS}=LH!!skcG3FgEj1%_<<vb_wNr+!mGRo-6*^dytOyr)
zYlH{)3O>4NtKgZny6T6Oy2wpV?9PcY28+6h2_>eA;Z0{n^7Zvl;QmKW+SLTez7QTf
zr@F+~BexuWE&20m^?$xrrg%GX@SkLd8hUOlJGTC^K9at?nSWwx27&3iZ1Sl(yj#tP
zs0Dp2Ht6lKbT9``&}~EQXbt3Fd%s7{zyN;@Y|>PBT3~HbLR5{7CUipc_&gL1uqh-=
zJN>jJ6wVy980ygk>-*_v>b3gVJC<D0nq!6Eb50wF{j`u(%h-I~Kp%<6pQgK2TcgxK
zMmprP7LIQhv5$4sLvXBLBVUINx(*BVRm*6jZ$$IaR|Q=x$hH`^^$;j(-<IEOsg3k$
zRq9H~k}uLd2f}=TX3yrL97ApBWn0G;(X>$Bb^V>r2cW32-gg(9HflQUSnjOWfJ%Y_
z$**DyyF1HX2i(=dUzvvsH+QPxKj(uJ`*+)du61KqvW6DgeyH?6+^vH5dV4~4U0U+K
z0#D;xXEdRE_Dg>IJ|z@3s_6FIv&F{u5>p}N8dzo$v}^OYJbtS%vU3V-F|41}_G!t7
z%_lXyr!8e**24VBm1PUPLx$Ev{c4a6sj(5PmPAl;BeUa-Erj%4)){rEVtOn=!QmDS
zr@ERCIJ?>6_ts_6#_v^Nc{MHAr%nW&!G|8^%h{sG@wbn0u`<3C@@@^kFNoLm?t!Ll
zK(58Qe97xdOLwy6+{L535ZN&yEO`lF=!~4Sh*X60nQDcS0WP@22W1hqK#lvQwUs^c
z;0c>a_{YuxtD+E#x2*)KbUzR5`XUS418+_Cm9e6|c|K`akHGN9A@Q~S(wJOVbjx{i
zk#MsmLTn>!5TEYGvr$+I4kdHxH+&a})3zr9AJkc6NJW0P>UK#C@F@NgeLP3}>sW1e
zN6s4GmHYoiSBv97=ZCM)pUn~-Z8lr%4qKt!|8TLp8x7;O_sH>GvqS{HO8<`6mN01>
zyVkKx40rxTJRi6)OYAIgtdEzr#FN5DLoeDykmfGgJ!mjT)Vd3~TLxNShrZfc<B!6i
z8CL1IG3SY1U%^vPn#^H+Km63;4?_6cbEDx>%mQ)b9h(u|#2k4~HvO416U6-r$%zjt
zi^TW|{&(-v%~1JHoz1S3A6cISCw@e*AmDVvy_?I-z}i^u;r5abmpjAudBw2e(p%rB
zWkIHR{pJ+Uh9+JFg>$~`zRQL+FKcpjf0&@9M6Taeh8M$W?*@ju*-=c>KEv*9g4qu<
z3RPElFm6-%{vCr84{n@KUDsg@jW|yu9Sa^jywg_@a-9o)f(^n_p2kqQ^H9;9p9j@%
zXGY^CxDo2XAs5kSghw;(k^bB~SP{13n`Ax@)HiD}QVtoR^-6<Gy)F+fyG1%?d+=fH
zrGCLP3x;@kT+q!tm<KiKS2r)$7J$G1kM8}K43RaL$x=GRgZ0I(iup7l$R%?7M`#<O
z(6Hon-sz?MI{U-NlY|i}Q0X#T!^B$)=L3(e_|UcdNs{prKkRI#l2rVexE@!>XqMxL
zYyXYzYad0SnGW{#l1w~!m94))RR9?w`*Lmw)8P5B#i^y5fy$EMimZ)-P&jx{_{|=1
z`1fcxn4V%_VL)2o>K!3$nk-y)uTcVfo%Ys@TQd-S=$DY_QjS4wlD}%}a*)0&U)|(j
zfMbu>&hlL%Fv*FkKlfJ(#~f1FCz|NsSNO9$aFr-R9yyg6Kal}Xa){E?2XyrD86W#;
zFNW28VvoC$<e*h4f8=Wt9s4}4h4e1n;l=I#J}YAs5a8~ya#sW$h3y-%c_PJ8d)SI)
z#|K5+uJot~2%%##MNOCMwFDZ+U+~NgDB<mZ>?^M`bQF|lw0X)cNB6H!M(n~WxS%YR
zawV0HyzO%B{uia-oH-d3xk43dX&mEMU(?~bnXYUvD}yyE1(oCH)UZ!|J5y+pj-8_#
z+9{MQ!dLH}mu^&tfKA}u(hUp<q;2oX4wr{$d{NUM6;15OE_$=^F#}3-J^^tWim3iz
zks2SY1&+XtpW_)!m<y$E8I)GSUYY27HSe_1vh~;8Of?gV-UZtxB$Scgm3-v{O&4^}
zk{`XnhOn?b>UCF21-p1sLv%LiVU6z5gL*5B5YEVzJE^FOBN3j)YYyw9`L8q~r)P{0
z+az;rG}WNu=lfOjkO8upHLvvPCU{-8UWulsj+fEP&gd%Av2pLJ-)-wm@n5z~aD=u7
z^2QEvp7p1LcU}4FgQv}KUMQb`uZ$+b4+qwKyg>);Nmk^CH|9vUyX$2-tBFWA_CjRR
zkw5bM$+@K-D7xx<Lim*y+>JvmzlYOd^4|-$vH&Z5Y3Gt&+^>y$zP)z(dUX8wxuMN{
zsh89&)fU%}X=B#GEBNd#1Gv@6G{wjexZ=F!bK6=S7#I`&MS}YH+8=O?RR?gkF?$gZ
zrh_k*sydl|x){495IIl=a7kp{Q(byjTX&Ps@r*XgHheyGz{D0*X#4%(H9GM7YO`qR
zrHRh5A9FT0ZNU=*z1;8G*!W|uak`W`j&@0eNsibe^1zJyWfyG(r3*^*l&ipRn{|G*
zk{xz5vq_ewXkl|5mrvj>rKR4NzUgRVhfqR0cI=@h-i5zDRjn!ylUxm%`*wD4yzzOr
z`~wYq+~N2Aex($ai*)*aTJk9?+MWMe<JGZc#=ZFEQ*p!xJ^Z<u&kj1l`TD$D)u5O_
zRd_COez=#HfW&88oDS0Qi<MLb&nivt$ZP?)iCDC&FYVxl`m~&{4a)dhed`)ckQ+YZ
z?+=}{TiPirv;W4<E8&w^^2stcb{M*S{PSrTc=@OKJnL#jT<d2y?Hl+<h?Z>KpPaO`
zQ%aG)f5^)t&hgB{2lr<PY0(z3*9JiPrB7Xtt7Y(AZfIy%;}r2<;ZJR$bOI85x>oH;
zQmFYI#}>sLC#rKF2=4e|gW&WGwyj~3h_(#g8S5}i82;QOxJS$ebqBfKDig%9TAD3}
zduo6%n2$M?w#gbwqY3(#tHiLo)9=SR_3uRUZr=m!SFG^d`0iITby1wpcfa>It)B=Q
z+r4jXizRqy|LN~75MJW(zSEP-zZ2`P2gY|RSwitcP@UT|K^U}Ez0o;1K(uTr{J?R<
z0^=UXUpjj8gY#*NbH3jYvFet)Xj6qb4uw41Lu}%Oy5yS<k6*)t&~W?2W@&Q-r-VrF
ziQ-1kg=_hIKYtSC4-OBU4l={?RTC{wrnwMj&>iNgI6;USKDJu>#S}TGrTmq%IFZ|W
zdgATRN#cBlgk9zm*9i|?T5&g;10L<moBG<P2{oFU`N3Qhh#04H2BfiLXmyE;=D=^_
zaL$8u=`<5;B^pM4cC$eqP21n|{UuTx>pB%;jKL~tBUk6bhL|<IW+xoyh}Sua{zD5!
zC@hLDmY870?F}-&1+y233oNUY#)6H&Q0F+K_m~x&E%aVOfCYL6j7>T-hG?4!L_-=Y
z(i2*KuG`9rjrmk>df1YW@ZHFl$z??%LHNx)W`k!UjatQSi0-NN>*7ALf(RVi=B35~
z*WwlHjgy$zL*o{ol4XPTi#_&}_c@`Hy-6TYfr<Ae{Gl;1Y|w}Ew{2^e!9PK4yWCRm
zH5OiE`6$eewZUT1XSsOreyx`Cy7dg)^U%0eP|6MoZhx+uUA!<=AqF&u>Bvla$Krg7
z12b#<tQOn(vFi>@`x5C`W_jbe)gDf4&_C2_vnYrk*EDI*jp^84@I2Joj|=X<9vw}}
z5r*x>FAv7546ysX5TF0$Wr!HO#j&bK1kNUk(}Ow&@XpNF(rM>LTpS_UU@C^XNq1R`
z41KVjThT4;$cvcGo$+>eX$ZO~`nOL`A5q(R4dgrcaPGyXlyYMU*lfDJP3D0fn7rpM
zZcG(G=A#2AcJ@d@`qnD0l}o%VketE75-Ef;=QAq}i=@Em@oF#stS*Mj*Y$6DCyab`
z<CVHuGDr&FQ@o>G7yFNPSPTw}fZyZ7I+mw$Ad{2*15$LMI{9Main<uMB8-h_Qwp$~
zzuqtyql@FiQ!8(W(a`$fwVRfX60GF^gcl_1B7--3v(tz;bRu8pL>y6udQot?0;P*9
z)MCry5J~iCv;Q`GtAa%1+iHsfdZ^gG`|M*?DfAtP7(8mEhGWy*aVO5`VO;RsNc*TX
zB$i_=sz@Eqt(VV=D(i!#JSk%JXIVH%6DwLRG~q|vp_MnG54QoCg}_#M@b#@8dS0&u
z*1F!?7QYRkpyjJ6u;f{1z$ryLpo7%CbG^PxJ6m90tNJ@l35fwb8CL9icy%{5S9lu(
zU0gQ@jjNQQ*?sm}!;%N>x>|Tv$(#wU@NX|R|4~7&yy}(J%jnQO<}FLJGK53k-vl-T
zHFSJq6E!NK08&7$zhjGE>ysF7BV6SwR^;8Mj+~o&udQ9jz`lwgj?w$ZU?xqLncvhv
zLw!Y$a1{e>iLNPn5~kRlIdx=zjV4?U{Bb6ic&Op_!p3bk%`hv<$8oVo3!Dk^ZSSm@
zkhA+Mw$IW6z3Tp!lfBwd@k#j_skh|G+OutngO+HXJ}!B<QU_Mc{|de7V_<#a%_-9x
z)^PObiysWrMYmeV<!Vm`b~q_kKC~lHCY%5CHJcuiXtc!a3_7lyTC=9wZ)v|$wfKXa
z^)T^1pe%Kb0fvQy-?*#UqAl~un9yE5RBbwSL1|JKGUF4?Y&Ev{u(l+v*g_A4&yM?%
zj@ob)G9EA9U<YmszAK&ex_D+`Q9F1*16Peb**}%ofz2}Za<YalE_|~#UGP`Mn#~Vb
z6XxvTq!@Qyf29s+Te>vk4=EvcThH@)1$*p!67XJf$%l*IKa9A=D+d{w(oh>!dt8*~
z+qiB@6Rp7lcKa_#f<`5Kf8?`A*5~W7)t5C8?$W639V?15<sH07TJ4s)C%trJX<tXg
zUf&3l;fFv*-t@_2JDAMKw9Q>o#a$nd$IqQPU?~5bc5G=+Q~CE*X0WTk;@5Zelz=%x
z?V<NjRJ$$G)zbbX2Pq-@zlHKON#n#!rjgO{W40KY)5!SOqkzU&sfE1;odhjx`HTJR
zws60dU~p+l7Dps=ZOF(1qHxr%d2-3W92(|}*J?=PRbEezOLGHx*{HUHO%V{dc8swx
zS`zbn0uM4?c9Op)Uls`MB(TxekoHJW9OHMZ`)`l*k!+o&Wh|#{uqkyLZ$*tLJcB!}
zDfU6~)x(N><veT5mgcN>dL)c>O&5$_#14@gsB4!^KUv{sgXs0&X#!yDE;%UNG(^Tv
zB_m^*70PC-vL^L;;dsK2>8v+I7Pu<J9<jB=%>I$Q>oUur(Z~4R_<4X#+2>W38fgKZ
z2N|3H?BKxbVx#VRi~VHKHGg8X+8kWJW0fLCSs|M0ZZy%<Oa2c40RR6Kmv=PR{};!t
zWbeKA9-ohu{k~R-@J%XGgeawwjD|`o3YAhS5=oKDCbRdI83`4#M^;v(Waj7h?>(>c
zI`_O@_dFl>AtD@Rq0DCh>6i7gqHe7dm#Q9e^PV0gx$Zl<GW+Pm_Dwkvx9V4jLt@qU
z#HM=5IN4sUZ53O9@$?fJ;R}nz(~yBsoBnU4jz{786X7jziOS5LnDU44`MA{B*Y$;D
zk}>mcJ*NjL-OY2nO7lcP?`sy7?@i=Dg|BVefG&(j<k@I5&k?`cBmca1t0t{B-(vc1
zqYGR2zKiY*oFQubewYRwEh57cw#m7b=m3ve+{z}ONus{_#EwCiI5Izf%l8RY9mt8P
z2;^@cC+dai5AZN%5NmmZWuB?paDHryc5BfnaW>jq{}H8}=<cbjPZiUKhsS;P-d`Ce
zVn1`E#&8WGD)Z7JIzbDPj>W{7KKf4l8l|`4Jl#a(f9K~~7uA9~2VMofh#}%1Su@~&
z^fS@JH?sG83Ki&;HvgAXGDwt+onDM)Zzlp8zZgg=Q^8;JW89e9AYq?qyIK5oC&4b|
zd?T@d0`Y@u&vQBl2p1Etn=KB##O@!$Ps}YSAd&Y|o4ss+DC{N<?z%icP}kmi(qwAF
zhv>IDzdsHT!4KPspu<Ci_3yK{!@p=iDvhVGDcc}%n(N!-L-%3g>CkW6aXJk!b2}y!
z7d%KzFDUD1pByC~aRn!H>8ryY>!4y+mLVdRHC$;Tah%9{c3ZMHKn*53G+*b}4iP(+
z)NGR{Cy0uEHeRiKRXDOQh{65UccST2kZ|asX+rYzQ2N563WT@k6jT-u6SkTB4q=S5
z#H>Mx3BRQZm<untcm5n9*uED{F$d2PZtpJFoWG|G0WpG}299II&Tk3RQ4I6Mw(&Ys
zu?ZzOzOb8-d1##YN;1A%D*R3Sjb^o<wp0QNV_PqM>I8A^)w8cjw-$)7SaNwHO%Ze_
zn-xRvPZ1^AxssxBi-gU@m3ToGMQ}aOPPpR?5mvFNcd>q%=uzeS78<Akf5(()p2W=(
z8PkvLw(G1BMfYuV)Q9C^A}s6H^RYRiR$jRCa?d&;cvm&t%0(X5Sf$d9-RFrq3&OA8
zix!-{UoFjik%LOpL+K@JzloR&WsQmd=pblbIK{(B4sHY(*LBt|5WctioPFOjz~1^1
z{jn}txS`flRR3;~IG$K>At9d;3izwq`VPxNhv(^WrHN(2b5!d4SUVF~{N18ZxgrD1
zo!zct_G?6Gepp{Hl@*MIxL?aZkb#K3y*YNX>x4#}L2_R`JA{?0(tI$KfzKUE_d}1-
z!Vas@SNC^vfw2~&%e^sa*mlhD-Z=((xP3iE@#J@IsF)CpdhtXWLK4Q`_S7<f*ObJ&
zz$9LHC?)>Z%|jXjh8>miiWtG+dYirD6@JiTs{VU~Dh*Tqt-5aCm|(%h`AyG5K~U|G
zm22XXhP-;8?05<**f>w0qa6~4s~GWTomLtGHGW-pt7eDP6Q>ihJjI}Gl_zFlvowgj
zib%h(gA0<S8Bb+NNWw=UBLiavX)t)$Up&{z4L9FKmz1(egPM@I1j|N0`eVcXJ8$wr
z@tw&7Gnq1AWiFlNULg(h*m2CommgS#J~$5@m4g_$@WUczGSI2B|8$DKAT$hl2sZ6d
z0M1}B8kTt(_!3R=_J1x6<;-VodK{FXisOFW>c+o3ZV4E<!z>2<WlRj8PpLrDxra>e
zXyswJ_q`_56A8G$xL6sJr3Rbqd)}}4E5OI#Q+5Y(rQqKcqU`*-2BaA<?iSEi0;PH{
zsZFXf5XT}M9sY&_cUxrWQyo=+LyVSLrBoJF=t8ysbW*|4Ln^wZQw<(-xgXATm525D
zE6)$EYC%!#Qo`|8O%Rmv&zRbn-+Nh3KU$b|;BdSrOI<P*dNTQS9V?YUyh8Mn*dHAT
znGg`1zpD*0`n4-o!79Mx6dz-htqV?#cb0yVy0F_*J(pHe4g5<jr<j!Vz}dv<nv;}1
zytt}Jlar+mW2O?@!W{HKiKSDhA;S>-5?+6663_%`byeCBK|OHUU9s(jwFzjv({BAK
zOMxTVF@mpxbYXk7|3|F}0vsKZI!zu?fIFRd|IJ$m!Y|wGnKm$kl4n!KJBBHcHoQN{
zYf=jW7=E|Qd7DEChs%ZY>l=BNyj;i6Lxtaw6O(Da79eY>vPFN40`@X?iW=SO@Mgf7
z5@2ize}}Iz1}0D-g7&gJkESxDq#pgu(QXN#u-MivLV+`1Id-VH$ies0?pIFQR<PCi
zLV-c223Tv<MkvZjg2W%)>PNe+K)i=;*<MW@=+uHPGYbj;>bu!Xnp;84muEk-OjV)u
zquu3e*{t9vs4%=tV+9>AU*CQrtqhFS1__5fmI+xWR+gGXO9($&!*gy_0kC<~pJmB%
zqKoTh-(E3Ga8=n~7Lg<e1EXHfDd&EX3lmK`U!pA_00acZcFVx|+m53%+iCH)q!Fym
znS;pU$KOiAQeYnNT{h?3W;~wee|Oc%91iZw9^xJqg{>^gyH~l`&@`@Ld2fjsm~NpP
z*Z3j`Ip?oc-QCHFdS->YWo69Z(2HvCb~-+g49nN^CAm;np!>A>9e}W>(FYvPal!hY
zkdUWGx$!*>JA3YCfYQo2CzlWw*l9gt^Rt>8%X%JIMzIpG-IU6?5W@gr39T0!hq>|2
zk5c(20aHj=5ULCH_(%NBDEr;q!;P7IOwEB56L@;$#>Cm8--P!;h9A7;+(`LEh+W%j
z4A&nkW?yC-Ct9riFQ(k$MimFiCu31Y@Sjk~om)R!hzHWSdJ_k@anDq(^7Rjf&~qi_
zRm-0m^6ai03ri|D-c6d_<ileKSEmLt1!#uIJbQgjYYuMwX+rQP9WsFU%^hCB#?z#i
zO<;@W5*K=G%TM<u^?@<nZM8gWp4^x9^P2P@F1+m`_)AGfAAAbEZ_;jEBsm6Jb5AmG
z<JfcUM|)$oz^US`3EM+fN!2KWk&jB;C?_{-dwWd}B!0Y7*rq~*ALK<K*ozyxS9Wq=
z4bp>KcaK|}{H4XmCC0(K3%N0s=3fr&Z(WFL<hRt%q{kmel2KHW2M1^pPyINf3rFp>
z8f<MgVXr&$=RHq(@JX?+ErmfBbi2;2{q1GMT6NjNFk@bn39Crxy{`jnixSg1$C&W?
z`r93>bG-OGE6R~YLkDUaBkC^xWk$cQ&kRRMKAen+%^3Ko4SiCan}#A;(RT}vI9mok
zs%ni<9tUVc)I-{7Mrn3@S!UgO>XiW6AGozYN>Up_hW`CDs^h>0vHGh54T7j~b#Vvl
zS1tHx-AW}0E>x41UkG9l#`pXgQ+H#vU?#*e0pz(c?Z=lxbgm+}M?t|bbGH^Ocg4p!
z3-TacI_DYTPolVD=9o1rs|B}im`I8W@}i5FNXnlB;>g-vpCZ0Wg`vvksYQ7{yyx5S
zD3L`HJ&zr^O50BbIk|T?jIH=_i1S_Npsy5Ks2^*HXre+{__5QQf(7u~wO@wr`=zn>
zWQ%HEJr$CY6&s;M5cim!*HPIogPx*2jH#_uP`ozkm&_@QA`ewg{C7kaHTj?T#{8f{
zZp{Sc##s@Jc-gRU`jQ-W=GWMkacjY3y*ZWruP6>>$6FL6%cJ?pyIv8tS`d@)kGVNg
z9K~24jNY$RKm}EnpW7d5f$;|pqd65x^fqkLnV40?T^^Q|E=yVvUfCXV@uU>8-pVT~
z7EwlZ;}erVPilko?-#Md|4HKx;fQ}~gbI3go(mON(}v)+PiHmtWw5K3V^@r`Djw1H
z6_0tU1Hx7&XHUt>V%m7e;VlQ%5a&6XpB>PJ*Qd%DflCgjM*hy0+pD9lU{`|_RSzcn
zgCpLo$RQm|6b+r22A-1JbA?NE3(&l^du%-<kH0=$J#&@RKtDm+ndid#kW_TpTox5@
zAR=70l%k2W3FYTRR1Dz!=h)Qmv5NR<Sz|r=uqO5>d{9iVHUt{CVq(BS32Tgl$H(_;
z;%VdCY2a@Jq0%1}tQVE=lgnVFH>)Oc_bYO!CmMrPa(2|7Ysxsw5;fj=QUlA$O68pQ
zCNQ~r`qu4V%6Ou<t8M&-I>vtRTfX0K3g##1bm@#$kTZc2?7CkK74}CSirnDHBYNMC
z8*VCS+So8^GOdC$K5PpnCjcItObBOkR>7+~6?}87lyN5QVby~UfI(@Nn{kRNIQ#U)
zj$@}3@fvLpcb$eAkcUgEVw#lkNE3}3%|&@+FYfT74={r?(ZE+}w#ulSQx!CGRu;dt
zUCcg^Vg~Yk#tJoQN|;}~H#6h3G%Ds?8LryMTfs=S#?c-{6dMnH>o_NYk$s%0v+vBn
zV5Rg^+oA%}k4H&(D~lrEsmRwhxn{6Ajh}IPO&;?st@ZAv3Zm4L(wdUHX3!|R#PMlP
z4(E94SVxZXVf-6$hY)WwaCb`+6YrA6&JR3{UeVmBeCuHHfT|fB6A28nDwjba`SZ<f
zTpURMvmn}G9H1*DeTz+!G{#OdauilGBj+ZE=9R|)`oS}k&n`=$;GYLK3)L9W+2J&0
z)D}R_JU`gEO9F?VJ!(H{N{_3XRx=(=6VP+`QonMo7~Y{f_S$rc2D=~V-?29(;7tD=
z>gPrg<i*+K=XU?d65*YB|HYUBh;|%O{V9Z_LV}+y%U4JRSKs)^P7`qJ-opP=OAxc{
zwS$mhnRNQ$am!E91WIxXvcEm##}7e${A$cgq?vY-saS|HD1?&<4bpsQ_|iO5G;5K3
zp60W5_=6G9-ZUwlZ{oqn*FQ~&buW^i_Z)5>kuZWIiba0&kGYYC2EWdnTOt`Rd%OJ$
zF@)8)TUE<9xv<D^b>iyzWzwK<Eqn2+0eDe%pZ`j5q8oku*@>nVvV?tW2ECpE++*TC
z)RD@L2Zh=XaQdu~wDe;)O%nCNtnhCYm-z-?zxckpZn#dm?uqU!VbF(#Ut*=fBCI%b
z=qxCtZg3#PHRW2s7Wi82N<*v6f(_TMtLu@p7`DnXnmMcod)uAb@hCH9wHNgM_(g{)
z<x?Wsu6pq1pls574-@*5Dwfxb8Bl}w5RG!XF1(*OI>vQ@340$J4*g5qgbt^2WD|Dl
zf<JY~+ppG4==6cbbc}m5s<L0_f7q!5%tznEZ8c@W?vtPVcO^4ntA1sufu{~^J(9}u
z&Xoy$_&MSltXOb1|F&r2Pi+WQ@sS?cIA^ea=8f)VHcUDb(>ZWi8z@?b#7dZ%@!ZJQ
z^41Y{JfQu0Ku=g34mAFpzwwY6BcI>3lpW^8JQ|&Ep9{61_hUoBqAd%iB-$MhqT|MU
z;J)?GUM;Zqyu0vQmK6j2=jd+A^B|x2dCAFjDzI?*T_}-a!-)vv?(h3~@k_3MBxe>C
zobl1-dUJNPU>vOC&g8>^XXW)xo>VA!c3*2aiUTu4U!Kb65WwW6|1Lk1paSQnM|SMX
zoVfcg!$pr6L3E8iPA5A=0U0%Wzp{ER)F^H;d@d)94;r6!|Jm5D1vc+_MZDz3iAd4>
ziEkU6dgmA3A5H;M-aE`OnFmWGRmDzbis9%@+kd171(fWDN6KFD;swj*F_i=f488q2
zFy58|IWk&omd$*)Q(@WO)kz8`{Y%`gm{CAy`rh*l76E)*?b6D3Od9Pp{lyzBDd0QD
zUV7V25EZuU;a-ZBLEejBuD0%>z=V5NY)GRJYX2Gj;8-JzTSiCPWX@6`!!5|<*-jD6
z>_7c!m{A@z4A{^5Z1jJx`ME#+oG32tQv2DkO96K`ls!H0hXQL6YF45z#nCa8i`Dt1
zBAyZP?d@=+!cOB6#=$d^=pbQJ^NU^?Kb)NocveS+#0J4MyKE_}ra0NmZ{(=!jVS++
z4PH}367TiClE!PlPS#&5P{rW$FAuk`X~FjBr^WknWH5Xyyog^@L)*`&{i9MFzNy<q
zoG6t=&#wjZpQsx6*CnBEXQ~by?B#Nhu9L(3p2X^mZJMZma97*kC%W)rypE>%vpmxB
zEPmZ7Lcto_YW<cXJxH0g|0>(5fT#MDJX?Y(C@vktoj$e&A{#lVa&3y3YB}?wFrR`Y
zMVk9&)eT^Qe_+|XQVF9f{VIwYDfnM#Z}H2khA<%()_(ngGV&dM#A;Pa!Ds19xM#!&
zW?COzZ`!GXu?bu&451V}A2Ks0wc#l-&n|e;O{k!s6zxGXP72<8@9!d=W(p@p9#7ub
zr;37=uBY#hYoNo^Q#;yz5-_rBtndC4RkWhrM&seCjxM?C3th1Q<ff~Z;d!c<Rb3+!
z9j1!00aM-qLS|qgTk%!qo+?s3Z=^JPE2C;x_>0LXGno3D6}o7yislYn<|1N>sBmp@
zZ{Ua-MAD7uY(o`{+QyM?RV0U|A*rEm3g#g3NazX^rwZowP2bJjCWFt3Hgjz|bD(7~
zS}xO8#vjKmmwaj@(WI3z`uRR{DB^Xg6V*||)A5hXw`+=GHoX*a<Uey@E2U|EC!mPs
zKIz@(#su)GX7v0lW#fL$@}v11`@pNy1|y-gyeP;m<x5>RgOPpR9^%PzNI9XW=FQ8A
zZ?T)|xWP52<C|XhJIdmycWQbiD>I66w1x(sGJ^u0{g3uC$lwzi(e7<i^vK_?)_GIZ
z3|jN1`&CP%Fx%#xZG`hWc|6NIQkMi^HoRTpHYI_a7kLz<&MuNphZNm2+yI&c-0Lzg
zieXEaV?rPAJjvyK!#C(J0e8ZmW*^ZM!HM@Hi_ELj<N?^ZSfNS42Q{Bcd3qs~zERPA
zS#X?8AF&^HKVk}$f^g5pRen^vvMRVPH%w-I$dp=1HG!G!L}HEvAMUDxK&G}qGE;ap
zsBpj-$~&71SbaD4?{9beEBgmX`<3@GPBO-j3fH%eb#tM~P{G{Dra?03aUaX>BSvsg
zJLmY&6bF_G9j9mE9wN`UE3^H}GlW#XO?zLQU_(y5BU;{HzLPmQtlj=}hH%Mr&^p(E
z1=lO`E^bpCB~#CSRWICQ0AmLVIV5eEFs3;9fY;18xnt^>`}=Ht*xOWgr8bcfLjv`)
z>A0sz#kK;~2zGt&-2A83TV)e6$3Ae@zwndH7QYkp<Kz|~Jr8@=%+cetPTmw-+#H!m
zw|eVKyB?hLYkKl!nhwj{>qoC#o+r=#F!NP2*Mnm#%+tjpbSU^@`0mxnKjiKNI-0&*
zT@c;uJ24tai!1dfoyF7sk^$rCM4P-WxQfI*mRX{~d|T0&mmN!F{nE*YbWe0Ze(Ezv
zbQ%phYl{;}va94=Lx|@-5gm||Wo1qZq(R>Afol7r{*hrc*6M8u+Hf^LDo*Dx4Kl;!
z(-Dz0`1$N2yZ?rF2v~CW#GIqSL|Ls@^<A{cXZ31HEkg^Q&YoK^eM5uCj@_!(Fr&x!
z;+OPzb+w?{eZ8CbM}t#`t>^SB7|?O^rwPqkDkR61EcE)(BIhZSju$%_ahrl=YrHEJ
zUKC0PzFVZlCmoD&r)in6I-^z4Ya>6uKb(*3dP;}dCgMw<o0+lu!kLrBaTIv^(yAo%
z2tEFCUwWX4tZ1NNx2sx@0_Lt=mZo+LSlg<)pw!NeOEFxcmnt;jUeJj<3_CYrcFlhk
z^(<T{{Y`;kKu{9~&332#3uMHd{;RKb&A9Q#(#M$H7c?L=*DolwbTeAtvKu}X%Y(Gp
z6!AAR>d<YTIQvqT8DEwL);?e6McV4g=^j6ISepOp&Y8!8_vvS6Hih$}5Py|B%aR(5
zyfqzSI>Lqx_vxe>l>{-l%US%+JvH#VpKy-Ongh2n_Khga38BEFJX%&WH8?c6z-g<(
zg|#yum$iFEusMu;<4mIl;R5c_V9kwNkJi`>&WK^e%7>)Pud3h}8Q)=Zi3bmr{IYCU
z+{l^F3rC|+6}sJ%Rlc_H;#a=Ji|N%;csrXv_j|1>m@+%;H8SPLpH(TuUuGFho8xI<
zom2&*7^aM>dI6+%pX+$<C5s04cWKp8)Zl$`nQquAA&jL|Ci%3=VWBM7oXul32u|5I
zU|=AEuGuGBukTbqpL4Yzw`i$@^S9@G4pL$$t7-jcd{7ZPDx#0Z{8fjKcj~fZ6eN&r
z7pqmcq>RrqTB@VwG@xm5w)K*{6siSeI!DQ=;&imVS1k_(Zi_!@=(mzauko_@>P9uR
z+4H=@<0A!H?ARMR17y%h#k8-~PXn(rOB>9jQ^DHv@mu9gS?o5?bZ}qO#HuSoY*y)7
z&{f6xyI@=nJx;A`|6EMLKX(tPhBRt}>pmB`lPU^$wnXwr(*Y`43cgDT;?sqgqAxPr
zj&5*ThwaVi2o=Ru)5Y?_^dQVz?xl3967D-Q7C&vRh21s^=9O&v@a-n^udxPYoUc*y
zE4!$LD{)q%Z21O2<L%*=)1!iRs++C9UedxY$=%m7j&1O6_oakQ&8j#j_RLsi>qgz3
zxzkn61PmONF55j)!;jn*D-%sr%nt2u`8{q5moJaA?a)@obhqhyh5}S9oEz%>y&d3X
zoYjls`|3C<c{%K@GzF(0<cmGyG=r!{L5ucMb$s-`MPSFYI*#>M&5mqvVf~6m!}1e#
z9Fz|(b1_lHr%x6ha5|cU5?esV9H`?faT<NI9ZJZnFh(<8y}_dvb~oizHI&)Uu;YiW
zJc_X`<!t7+0Q$hRq-V9NsG%j<xF8^dK7n4@OJ)|JDNX<UWq}Hwu?(!r<deWKft(B}
zI}7MLa9r)bKxI5UnohUdUI_KGwCIi)SODL?RjpnQCFEZ{Up)Db2lET+=RdPpKuhVT
z`*ODw&@j+<Vc-HA#%Z32Tdy&PCj);AXEuCU;Orj{i!BT|GV0Kqd(s?=PwY($@sPz`
zN+PC;9?Rr_cJp8$n>pn6t5$H-N#hH{jhMbXO_oi@j5}|5qT5BU=uT}Z6tiG;y>_#W
z<m4YAKW+GCq4}{bey-x^B)8*fA1z5RUW*w`ECo>M+tu$MAcDqDjn`v;^b+4FJS>A&
z03YrCiH770VjJ(dOrO<JV!4P}+&PT^)q6|9>oWYfxb>5M?3pQI!0q@A$x2hG-Q%*B
zT*ZSDMfC6827eOyqU`-=zng5l!=E=!@m%<vKGV~zb(YACD7&D|W&%5=Iu9l3vZJKa
z`Ta|5bA<2p|GZus8N-{cdh(&k8~cAta{O51EHThKd41`W5u8aB?@;hz#J!OpPDE<X
z5?n)>!~e1j;m!GC`BPWvu{(Y`Jo&{8G4XbPOZYDXke3Xj5Bp7nv$r1PkO@-+4VT=Q
zk@3ddw!QzWesGQ4H+UO--6n{3gR`Ms(faVjuu}h(#}ZlUD|t1KZJapwPq&m~a0?V2
z6Zz0I@Q2*DDR;AA=?GCckg+4i=>MLD;oDn(kze*IGNlB4Cvq)r?qy5V1J8rg9A1jE
zq!sl_)Q|0h1kFKrOZ#<QP<SUgB$qQu=J(G?F@^RKT$;XZf=6_re)w%EC2x$333l-D
zeceSIeQ~Hkr%eY+b<J#f%!kQ`jWS=<lsgC+t5n<ItvWzM`OhfXevsVRBYT9H|3X~q
zjyKIK(}oicce~PKdr1f75N0XnR)Vf2_R)JCZK%s$>bq{<Nj|smek9fWktmH9sk)l0
z1v14K-*6<fk>lx6XwFwp#Bn&%cT%<BMEv+pgUg@EFfm&*tBxu{<xc=}Y9STMSCr&!
zJ~Wf;)n^N)*^o%xzW-XaF%=#T=eIrcX(W@n!a^N)l@MC{&wNp++wcnqZp-%aIx@_V
z!rg9>Ph>CF73Vlnz$cS#R4T8Uyh_&{TK@7Ck<w`565pT+T)R%hTTtGU#pe&uCk;L&
zI!b+9aU(zV@9RGmlS9(zXi`cZ+g+l5u@DL+G~joxq4(qEauR<}&Qdhp2x66bWXDc*
zn69!=?Qkt6EhYF1%IKp=yWXB8w;O7(yj8n&zf&=3Yg50PI-Ee-q3v?b1}}a$f6n%4
zDI({8lp8hDrjZ;;DjyCotHNPV8_tVlA$eOr?w#w7Omg#i?jX9IDzKzm>C3}cNbbM=
zGbK(hhtxQHJmgN2GMu5B@0F-3Alo?%xCTt~$x6Ry+aEJZ5FJ@<@ol62qRRAwp=}YF
zHO_VDhousnvZsqZ!C6Q)3#~T%cesS?7C0aikgN!?8EmYdQVPkr{e_Rio|KcUV!_Ra
z{wcs+gO_cm0*lCz_ZLQJR!Q=Jsd@Y}4+WUI;nr$&{Vn;zNT~Z-O(kjKGkTHxgFH0z
zu(mpN7n2Q#4V16Gsv_-Kwj8^wBM-+5i`scll#;Kx-FmtTYsf$427Ih(a$rBlTRCY~
zPVRM{{gpXUM|O-?GkFNgLDfy|Avc$I<VBBP!pHw>Ag|23yg7GE7FKP>Hm|xO$#VVG
zGp3o3q|vWKCIquA%n7Xc%H>v)`GYSaCmWi{o^9fv;v;2%J=)7;L8FSK?d<5f6VghC
zv^woN$}9tm-~7kwzEzV=3C@fa)Gwq;;lmftZb^fRZ9w70yjoJuxcWt%P#d}BrqmsE
zL1}m$z-;#b>&X?1#DX<y2T9wc*g2mn1^)v80RR6Cmw7zYT^PkfmSi_GX2v##nXx2f
zX6zgiMI{wc$yV7~w5Ui?){>AtMWK=uC8@~#v?$uNpwjY|6d@#{Ebsh#KlgL*eV%*o
z_ngDu*cECl^;ob+z2lKt+*?7k->y|%CJd}9vYJIrdn)+xY-_`S(tCm9XwS&2Bu&th
z6E+SQwhGEsT=iUgJ_>%%4O0AhRRc@&we0$CzYz3j&I}iee-=!<?{ggctPW1;q2LQU
zUkP}{%MPr&`$cfF`Snz*iaNADS6#d7-6l9#6sl=e`BgCaS%1mqRch$bDM$>B=nzEw
zcQ~y6#W%tFbB6+ovsA&6EOiQg{8m8gxtTU$)GMg5tPbAONk>C-*_j0a?*(xi_0$Ee
zeF7KCnC)8*9rbU{PtUUdB#4%+>o`;QQ^1UCEqxS8LzR;JxgoR9f|@0DzR8nAf{W9?
zGF)Cz;S(FA-t+H^;GSoygLU&SLCsFhZ`<ZmvBm8&KXmx3K&+<ziGK5M!TfI3L+%+W
z=#9&OoW^&7{f*vP^F;p$-v8UusrHwGA5tT>3dy~KzVr&IyHOJY)9oR)vLO_d(!~7&
z`Tc^`fyYw}EGGq-u|AEvKa$}Um%6gacu=6cHzR8A;u*ogawAJ(EgAjNmzw+Sh6N=X
zxvI<7h!E?G($^mNNWv<Eluree5kYa}l74$DF(Ue8l3hS33Ekezk%wBNf-W!V!U7L*
z;>o{lk346TAtyT4<rnlvklDdG5ndrlJTZ?@i!D@!^k36=Qv(x%|1$L*_c}=v!ACRS
zEnlJxF$ejV{q>UqR@!4H1p`@PTq8ayT|^lQFP8Z`yq^&~JicZ&$3%g+*f#MkzF7%!
zzHicZmx~a^4EomSzly}%(q_r=5+yWIMTgepi4jx0oJ6NFW#U|?YL|bO5)S;ETdIFY
zoVe4auac)nA!tdqu`)$U5bvU%dZ-~q1nblnJjtgLH#Qh&*bCQ}^4y!5a8H`J+Ch@v
zwN#a`d*&YyOH;=BjvZnPuE`R)J6#G5oHdALr?jrr=PE;`cF0&XQh}JM++1<%A%mEd
zR&qVRjD$5w8%!21QX;&XJ~bF*Gl_TY{Je1|G8Uwl?z~}7A~tS#$D4gzhwyCIzx^zO
zf((N@<AysagjA24%h_r+@!`{*|Hf>ocw!jk<NS_FR6X!@u$RyyBu8DNEd%J-K88%g
z1FD4lBMr~!cmtxU@2^UVk~-oiqmC~0(I9pyWf$k`&nFIg7Nk#c8StLd=JxgugK(CJ
zjsLjMn0T&Qbh^@kiAM)(Sp8v4A}g5tc;9yu;#<k_71tYeu*$~TWwDtKk+`8!SKix{
z$oa?aKiJ5@s^lH1m1=BaRNu7z&|NN(F2=50yutuCNjj<oMVGi%mbb-{%qIl4gAC0`
zBV=ldSL|2UCsqbXrYhK(5gKtnHP0~?;JT^Di%+b1#Bk4w+za~V#DbEHzKoY#%yJHU
zRIW9jFtcTRIZT)n>Lw@C*S46URGsl<`-~Cc`*xG}WRE!!lj;-WJ8p?W(cdf6+l-0d
z*+<^!q?r@$OO0yM9Bnb$u6`mj$%Ke}$2`8Q)QtGN@TG3pLm>Ik1Jc~N3kc@V+lGbO
ze8SmRgmlu&0V@2gSDQT-5WaPf9iEc7gjR=P+0({__!?|q5)iO}IKkBJpE+hiP`!+A
zCl5K|+&HaL!e9X*Zy71KX00K?{L!Eu-@XX4-!4xtt}-D=V-tJ@YYy?GsYvx<m=hv2
zGL<-E#>8--&Eam67U6By;hk6Mg#0NvFQeJU#3<<!tz<KW_~o45DO2Wzg6D$k^O_9_
zvHFz1(w>q8+D;?P&k034tTxk~3<!m;g^61he-XTP@`&&Mwg{>}Oa9Z()g`t^Hb}Mj
zjoHaATz+Mr%OYH*Zy+RIv52>V$5iJ5NvyckCiync5sY_zwOO*-MCy5;wjF&6P_CZd
zn)hKLsD2ZNOx7@ncc<S`%Fd8LqPS=t*IJ0%bvq2Y_o)&U#A-v<Vimj|8m#^i>VWum
zPfp=63Q=ApV)cPU1HZ27PUanZ9Q3UDDL<-6@OZ{5F?>2w^Ua&jsM^EahS78@d@f-+
z6O^geLC1?T;|A{%0ClnI?8YiFBJ9A5uZ!ub*lX?C?KW<Qfk(sNJ}sXRY|`@xXRE8?
z^F8(USO07wU7Xv-;q?l{4vc$FjM1Tcw*7NB$riDd?Tkkw*93b><9mPKqGLhg92F*P
z(3DcR-GKJR?##WMdrG_MNO4=l{T6KvJ>`BJ;r_A{5xwrwWkkoLsHC{hkF2ooUd(^0
zoBrCl9o&*{Jxar5`cl8`Oe<8nIK{btn1z6UFGgQB(_p<>W|m&EC01FKST5C_4avju
zf2*(3Knjt|?;f{6Bz3Q72163#Qav&kD`{ArulVrBE(_=cDlr3J&cWh9W!HoUG(21>
zN9+1yj_nCGR$5DBkeT6S5b&FZY_a%R|HYdlSo6v@>ohsce}0Pm%$knmkeT<cbaPN;
zo5j`EC}7vnp6tOwVLy*69_gtygMZ_nqifbELN?*a@*-hBlM)-Ub9~Hjjr*c@{!%48
zx{(naRjCR=S+$M(Tr-?6eicWyP{xWCfA9WWuZCftn_>oye3(mhcd2TTuyD?Rr~^|S
zJ9Ykkaf#vMM+mueM1qWBe|LwhX>}alc7CXL5g!|h=06ziC*wz4!kkY-8n}0Jvx_^K
z54)$z6iyojFAn@t8UCXQwZ&EjZw7dnW0d;Js!;_chaziDk1#MIHZcA9IS-}Fs&r3Y
zqvG)@1M!ubT3`{ruJ7x3m@XRJyRMuDxmf$P{&%#nYhs0y^)()XCg%k#y+}vlNQb#o
z02A9-l>_^$d3abLk=7@yQ(9kjZjFpKjIOaGDFhErv!)jZHK-xyLZz=koi>63_fN&W
z;lXmv55<$O)#2(ia-=s*2lCGvG`LedcsMJDNc_@(W6E>W0W}t?#R_jE&F3Tg+A`^0
zX$EK;y^jq%W?>Fl-@kbaABmR#UG^(tpdxNVr}rK<G~CBVb#C%u;F_@^pQnW)wFd8X
zG!EiP=5mD!W)RbR+@1PF3yW`jvh2Ld!8F~tQ+$sZ%Hm}w#R8cq9yWZMYORYeo<p~W
zzMCOeWI!qP4-+MZ)e&MhbdfvXmr=3F94CfP|4B~P#>nGxae}Ugs3oIUct6eYkT`Qk
zpQMAmXOyD6g7lD`TCkoQYk@aGzgNWO>EQd;>Vlj+J*;rdefpbbiRlEzp=f0m9HQ@;
zoxP-o8_6lXA-61X>t$r2L>vp{bAPt63-#c7EAZTc^;XyxaME9*n}wADF`~)a^l&u5
z;PSZ{E3CC4o<*6lk<d;noKn@pvbb1Q*BNU(4|>NqwvUb29|3N)=XLRfNMQC`+o1pJ
zrN%So*$AH~UinjA7f<6(-)(5MLD8><KjDP1k5<E}z1|#LHnf=^;cbhKq?)DF2W+T1
zy%!%&Vq?C<1Cvd!ZLxb<v$OVfHi~P`>@Y55Aw7Mj!^X}IcM|Je@>1EjdL=dS=vf^E
zG{^2><k?|_QFZIDI~%hmqdoj`wb7-d*naJU9X6R($}JXULuz(UgnI%LFHfDV%#s8&
zZnVuBEMnmeX+_lEa4oDqd_+Wt0$BC02yL9l!XkGo{aRlJPW^M;bD0ioIcqNQrCbNC
zeNHLwDm0K&6!JZj4E$PK8d9mIgE$+hQ%%>@(EVXk&lchOmmllYU5?kr()P&+mp621
zD0Msi_-qH)=E*bR-NJM9xitM`((u*pPPo*0JM7WOs!X(J!sy|j(TW@uRFDUaMSbjW
z+B?oWs6Y#+E|Fx!`4lwI>2#=+vcpcNx3U{Y8BkpwFRCL-M(w<ezE9=0h>UCKJmt<n
zq4M<>(m$b}`?v43+ag<>9>3r^9H@!J&79L?n#x%Iwmh@otqnp$wg%c8YoIB$UWB_{
z2?f+HWt$KieA3?;G%c-;=ZZG6wcixM_j7ulIBJc$G4-3VW2$KPS`tc)SH#B|XQDL5
z8kfV)G?f3QV_Po!!9zzyWYJikPfJ<jMb4TZ!xD684>KeU*^2n=Qlh;k!wSB%*CiqI
zY4GjkZokV?#NNOydbxBf+%e_)JP)G+oJ(T5_KN5ejCx9+v&8JBo95;UR3PvFie|D$
z5t;gHN1aTB?^&d7-yb~{g!r<b_uo~-vN3O?7Xk~6c$&-}E2rT13A0t@EG1kFjBD0#
zw?OHLAZCXH1?IVNuP06^!6>Ld{$#f~G!(Y{H5ek}n3q#aIY$|R3M!ln2h6eP!PJ^p
z)nw%F^)Y{RUl|%CnqD!@95TM?Wm2hRC~iv*%iKjmyipG6+buJ!K1;UUyq}EDe+kDA
zn3AEY&d+_a!3<-@-xJ~wk`ZX7<inUvLDT(ok18oMNLnnpI+ZQ-^#Q?J{B8;qlrs{3
z*77mxIA9UpNJd!tlyXM93M4*m^z0FGX}9}Dx7b+}<cPLtE4`s2-))cHY+XK9r`cG&
zSxLcA??ug`UK--un@?To<ze6E3j)qf3M}97ji_@~;qd2h;5s31dHn2Hrm+gvfgQKh
zS`CN@>`pk$!vdSQ9S3f!z{ZiT{WDq}{H6K%SJ(0oT<x~J&y$MwONou~Pc*QwI!h+h
ziifD@Of{-F4TZ<o-7_LHFtuyXeg_s0B|~4UO77E8ckW#8-4+Ihxp6;UQ+dL7+X&Tc
zI$BoDB(F-;LX+rl4ng6e%~X1HI6@URvY&fqJ2O$S{7caVO&+$&P37#{tOoAA8%}rT
zYU7nZU0}fFVO)g0@%1L*`~0=gSN)YXUdDFz^seUNO~9fBqdPTFs2zTMUx5xBqb^nK
z7S`n?#??qUrU`a;h5EAqA?GgsF<W+r2ZiR<atFN_*t+dz+<i71TSudN--+{4baL&l
zd4mjW_qlxd!dEtm9^Z-bU(ZM6?WEv&N3_tWvxyg)&q0+4zk8J6!|=*hTOAe?w@>Su
zUa{8&>yN?eou+1piIj~?YGfj5!s%!0TU}h=?0Ye!+6)hJEoL&;YeQ;~aGkY5566~V
zTcZkdY?fT2xcav?;$}Ojt!dE%Bjsv#@EdbjUryXzlBfgO|8}K|sOsaQ;I7t_C=2Wi
zogHGP$ilrA$-lu%^#OzHV;(F^r1}jdmuIkGvFf4Grgi$z4-8*b(Pjw~HK%pQ#My|E
zJNYVnkv?Q;9m|xDSRq67p8xJpHr72DEPpShj{`nB5B6JIBd98MTBU)F8LPdUr%LrO
zHC)r1-*1ikD_YnA(`>xyQ*B!=)TvmvNr7mN4cxR=?n}|*AS+a+F)36R?xdA;H=ZqW
zIPRh*wj6j?zN|f&$APr0_&NKBw)k)~=~s{y2O<4Fx6YOc_uq1Cq<^s;Zb(UNf5PB^
zJ60`IBjog<s_TaBwRYH=mayRHPd1k577SFz>7cY-E<<V#;BRdry5Srf)U8q?J!`em
z9iDbV&j9c=^{P#CVk1CCK>ldJ#Fm+P*;DqwzFaHk?pG{OPdoSxPBJi)-xHX$46yl@
z)|TeR0$1##xLTPeM!4ILP?iJd{@cEuRIh`HgwB^TTh-A=OTTFC2)v7LY%me>|9XNs
zr`%l?tmzawVGN+9NWW>PHUb_hA6E0BA!@$Df>aXV^J)9Bn!8N2wz)pKoTUPfU6-8Q
zgt{Q1IS~I+j)_(BRM)rv$T-}fp>2804u7FC(BiFyIpQxucV&@q^2&{QBL;TRbUzVC
zJ<ovtm#7_|Hz=dn=tks$yS6AeakRg$PZM!-%tF_$Rf5Mpi-}wAwm5IP(y1y(17~*i
zmFOoZ;+NZIo^PiO!WJD})$XPa=Qf?L-|rP*RCw2F)XxS{iG7hQx*8n!EENoFP{4yt
zuRp!+vPM_W5yrbebd(xdNXttpz*ny|MsJff?rPoMS^0y8X|sa-_;PvNJ`)l9yW0w4
zueY`KjZkqsX-~%NBzee1pL?MgWQF|_zuUHvsMuHeLA9qy9*nZcA?sdCG+mQcB9^LP
zcFtw(;X!$HE<ZIx-f9Ue&Z8>z(-ioBVtqBUP{7*arIqXv3*30ufBdL81v-;1tP2?m
zpl5eBf7@??r=^4Loe5;5er{TMbVfL?T(_K%v_O@-_rkmCWK6d;ecX9S5#HW6$;!Fr
zASzp%-##HB?9`qwRum<aUhtnb(>F)|oZ{`5Pmu7zKIz2lJ4#q=-B}aYXojQhls%2x
zNT9C2zeg`Z8Loe#8B2uzTzO00Or9SJ=WUsHt!+tgR9qd=ImO4auAl$i4kDr9#@ad4
zDr5|*J)owS2*+9D^J?Nq_{Hb#cNe8#^h26Gv7C<`zG=rbuajVO<nwv{6a~7+>%&`S
zc&IyDclgve3BeAumIf&*^!D9qRIcS=a76F$+ZANY{Cbih%A(=@I!Dr+2p&wDhIEeC
zlM!nDdY;NkI^ynMl4V%(;O(N|9A!nppQz|$(R5Yp2#WgAA;Cj2GsY<JDFtSH+mtIG
z)nL4?f^@r+i)cyvTKSzSpbSqlJ8d+u$Vz4F+FM*K9p4|iP>%|eBXlwO%bGa&UzPEi
zGhArfEh)J9iwc1=_u##32KXm`uJg*^g6Vn3hxUwycn`yI#r0a){_=j1Tq+mkveckI
zx9N~BWHesVW#XTW1J5{%3u#I1*1I=VA<?z3Kj|+M5_`n{?7hH6Mc4iZf+jW89ITIZ
zZ`DR&{*$i4hg_)48pFRXb>zfbh4_@|AZ6F5=ryBUyuZ42+E!i@#MmL{v#~5p|DI*$
zWWs|%cKX4?+6>e)eg0nZWTPyg!*6^)4^8*-4%gfl{;yG`A7?lmOuXymzis1za@ade
zIaCWKo9g_`hB)}}KF^G0$A|CengJUnCLFNNUr?b7LgM{Ir%=aduL!%EU&q9D@z-&N
z-g-E>Ol;0oJ2R{o5m~!*qc)lz`#2j7>)~FYch+Q^&<}LCs@X{Ez<5l0){=02G{lXN
zFGrf=?ya0s>LneV+O_TH)C+wGvfMUX=~<wyH0(bwM`3QEf6)_FGC-eN%SiDT3mDgT
z+qnz*R#)i#V)r})G)Bh#@-49hp)r+f=fQ^b$DAXY8U~1w-ftTbY=!R*tYiKU*|>Nx
zrtQX8edr8yIPRZs4g3Cr53<7gNA_{j$T9k`j_l01Ic$yosH^*1cW@x$w_^6z0X>{L
z8+3Z%6&u{SY+sRdPMC|ryB7wU=waT4vzGJxY{B$+YY|IuFt+8L8GX4fR`&jDyC`Od
z=4!?D#~V42I2~iFwwQxPPpwNX*>>2hD@W5R<6wPv%ojtJFgIj=Ymygo{zG^wZ~1Nx
zUhJ1RE7`9DmSg|;pcU}=$dk=&Yz_`QZf%(=(T4X}!}3D`z{%bfuJlGWK5I?9FI>%p
z>79iE8>0c=GSOV}A~puP^XlEjwSZ~!=+j34k5c=awlyqVJ$<}>B2p6t;nvB=jsp45
zIN!FDSlClb-Lzj!9Yvh<XP;t#0iNkV(<U7ljTD-OUZrEmy_p*q3iP;!u@fq^h5oxC
zpe==pWs<Ffsjk9&F?;W;p+4a`!swJ^c@*3z(Ai<E14J?<uUc@J$d^33hu2BM{ZF4o
z7x&p=u3xfbfWH>TXs;_0Jd|-IX04RvVLJ$Fz75Vh&48rA%E1IlCD_&3Hpj}_;rAx`
znD%W=JioAc@wY(*<o|0sXr670n}w^!!<;mblxj|Mmr+2trKyrL*%tGA&7QP=QG>h3
zm7}|><!~&yJ<2P?1~ScW#}}VaMUQI6C)bOzxVPpM`IEE_CR-q7u!fGVNt#6SFByCv
z&ugc|S%V0)Tx4lV!(fW+w!~x^tQZ<!DgDn1;)}MezQLhl%f_gi0f91@Ih_1BZ<iGu
z=bu}@g{K0S3o5NQqGizW#Nb5qfF=C2$d!-QQ&4)y5>d}&u=d)8)$SpdSZe=4z2`I;
zy_e3kdaaVhNp&TWliw|{XZ&nXnUII)*PZmOmykm<O`P5oYyqW=tQECeNQk|1{p!=N
za?tuV7Q!DeM~u-Ay)zTa*k-Jhw(W;JsyXK<_7Ubdu&cSOqfi-DE{Bfi9#uf0<7oy@
z#2oUEOT?SjDPzFk^JI~UA`aC{`1@p-A%1z&*5^jbm^ge%^J=dm0`#5eVr(-cq&@Fk
zOIJpWsDnn>H6`Rr{WA&|@bS3!?v4)Oc-`LM>!m5m$aU1B4g2sB^{`?GVJtk43wgjl
zf`kn>H=b%2;iG9kZMaCd@Az`>3oYBpc<LMwxc3qdF}Z}FLV+@lu^rwr_EWG|qkF5#
zIv&gmJ*Mh^D#MzmyX!`-3g&d!hK4EfV5~Y|?(a#$Q>(7pFAs!y;Zx~I_A@RVF4?dj
zz98ZIj`CMy;&jNG3|^a;$%R&RPS1TmGUh&?*=6FT3i7A9-nG754A{!CEW{|F^!jUF
ztyhD+$g7PlTrPr4lEWl!QE*Z<T4s}}2Fl+@7fC8}(O2wzME0->YI2X*P1b25ctM@1
z#y?Z63v#JuZ=hmH&IAA6at8eF`B}9Lm|`M(Uj%I#4Yyb7?EM*|g|@=GIj{OmL48u}
zk-3}>-#g&}i`O%8V8e9B+%Z#hUP#bX4^V}HkIwgRw%TYlc`oKE%Y~!Ok9TrOYEYE)
zAM<DHz_9n(m(T@VY*v?uJzTGjP4_0%1{7F0n^tuao4GJqK9j#lL=#Mzmdmb_ESyp;
zUXpc@i*FmxQ@ZsS@J$&jZ|Y{FuJl?6Wr~a2<MXf2eak?N_b!6f!a>~o#CI$Gc?eff
z4gYXV3u<nmLlx(AA+o6~?`%5{d-AxI9~Lq(>-umTW49i%4wr2v3-3LoxxvYKl8Fu7
zUdgYF^<gIeY&!TiAA`4PN9SDE#_se8wfc5_%-xyZ(pO-HnwIZ79tG>**LIWOlYRzh
z$<fQ$zS11Vx5pm+r@}(fl8`}8vjI*-z7(~fSb$vipY@Ig7HSTyt@4;V57k4{n?}D{
zpz(XttPpQDEY32zvY7LbbGo{-w$2jXNA<i<3G2+Uc=(VloS%2XD`Qr!FsDCL{r=IH
z17?0)+Sa=U5PKAQ<@rvb4_u|(&3wRt$yUP)d}jkp2Btl|?_z_UB(>H8C0!_J=NFCU
z>*Iq%^hOuDEn3T3oW3m51;6|g>3h8%JnO$cX?bspkZk$&6dzqgF^--fUDt&~u=>!C
zR6C62&GDM@)D`B^Sx0#Z9Awn5J@ZBApQ#V7PpO#dg7!oF!d5dj9@Uz~r+ET1iJc=?
zhB^2#MGqf%DZKYtFXuH2xxGS}-tj6^s9%dJoe%nHBe6Du_PPq_-C$Jgsmj4j=EAGu
zy+ZyUy~YiH1n~7&udF)C#<XqVX_*KHRyq%szj^^I(ayg2^(zY>I}8dds2X^06!Pfw
zQ$W9=?8pW~7G|~9%4mkE!uRQ_o_qB`z>~#49tP=PUsh)zub&FL^o4(;&H(8tTa>=$
zYD4#~UByTV1?M-dFl0mleiB#A!h|`I_w-`L`CQ?DJtFp(Db$O<{|u}8zH1?pI8je+
zQ9{<#$@#y8eMn4@T6|Sb3->(YzJIk+MB?{t-`-xeLr>TBb=Bq!d=Jn~yU`(!6NK^n
zDq}mS6aHM~7aHh1k~r0NMHb`7jeD+?+2Ts7PQ_EGBj);1f5ox6xDaf3t4-AwUr*Kl
zHMy^f&rS_qlylOUob;&fOtHcKc}=V68|WbHON>Xa&B3QWr``pBtufQ~dFy2b8g%W0
zR-dKJL3{weTrSue+5=%X!#}8CS+}Id>W5MY!A;Y!b}Qs0fBmrj0R;{7l44%hO97So
zePkyqNVw0iMjnyjFq*G-VNeQEC!a*r)LMda?ANK4JtTCs&|M9@=U}^+;ldXNmI%>5
zw_vF@347|6Ok5b5gLft=%ik1RK)P|Ob3~+&vlX^u%Wg}<ZOi;w9CZuCuk%=C{zC~r
zJQhisT$~GP$DpxHfjLa=G-A7UE8*|qnJB9}GRVkn^M9&lj%(T(^J}O|cx7ZZr2bo0
z=*zec<;7-@*0$O6?X@DjdY<=LFO^3;PowzLJTpvhNWN2DrU;j|#g~@{C}20g_UFYq
zKH{#~r3YpzV&lyQpWyk5*iQSt%Gr$%hK}(^*DOWU1dmjPODn<fgJZ$OcOI6V9cgJR
zSHzLzr+bRVl+Y_;_g*rQhwMk=+}L(SP*afVF(T9l*Cn!qo^XEIHPUBcZt>5U;wy`g
zao?f((7sn(G&~D<b}mc_&u?w>+Qy(D*`j1!Mx2m`fk%&=c&&u)ni^NBl`1#@PC&80
z=(cY(!jg;LD=PW1?m~UpW-Sw!L&bw7e)fgqrdU0q^Jm=`W&95S0RR6Cmv=bT?;pnP
zz4zW6$98aRpZkbHk|+tu&MK7<NwSJ0EmTIy_m{L#Dx=II6;Y{FX0pm&A%6aSU(X-U
z^}e3xe!cEJ!dZb46XIyCViwPQp@-OSpW0+k3&AKucW|$pB%TP~JlvPA2X?8iES-cf
z%rEW#b*WnlqVnoK`hI!{JY4kj1eXYo<*`gt!({NO`*A<bS`W;SKcewR1kK6s9&vNY
zA-%3c;=PU@+GRgcd-_GetC;5NHYSI4wv#GPNqT4<id#83CWc0(-KlFG^00JQp6^l9
zL)ctbejkejYC1nPXf!B*((+K&+*A)WC)9L{sFKL<-5T<uQW47oiVhun^dP4HCdD9H
z3e!gp|4@9Y1a%klu7cBg@a+31_vD>4m{w{I?0lw-0hTA4B`@`GAmBpYZ;C9Ww@9<q
zR;eJ+BmM19A${!04`99OEQg0l#kFSDB&c6=R8@=Ahgyq8n6{8SK6k9}us%_Rs^a_e
zYGe9XN_sE){i{4U%v4q${f`XU%bq`74;#RzO!UlTp#mPuDwdj@QN!80OYt8$sc4IT
znB#pw5iRWRLKt_c!@B*Mz>Z2Pij1oB-%*u7(%gEAnN<U0f9Ie6J7$RUU5~SltSUjK
zE1+pUTLUHRXM7IW8sS#_o%2T3%1FI&IyZ%06aH5i6%tjAL3K7rtO--W)^~NZN^?y(
zoaavR7c>EX_wiG{A|x0n{j)INqKWw1lw+|hrU<HU$%(j2f(ub`<cqi_%Kn6o#r`uz
zh4jeA5>@e2WJhOPxds+ecZMX*n&J4TYt|MQRnc*Z`pSY|1Fkh+?^_R=V|%`)k@XK%
zuykd-^rx!h;JR6qRkH<lq>%TOv6GQA_%X9ySq<~d<+9S(2+S&)iew6t(K3?d&pf0G
z(ZY|90@VTi`PYUG>#A^VRxIc}P6F>_jb~~sKuM~*BG{seQHoCK#aU&1v1WW*_X3b{
z-koa|riysMk>y|)C8XU=vidUx1m;LKGcA%Zd8XV|?x6yTC(kgZ2+$yL{E}slHwj;F
z1pm=zlgBl+L%CNKX~?X3Q7!aH1&6tz{IW|14bQ@x>y&5^;La_LnNUVmOl+@hgCu$$
zJFc*b(%|uR%!4MTj7OU~wL1I6V3NB}>%$7Lr11N6v%V5uG)VBgF%v<|<y*eB9|4tv
zUwK1p6tVN<;y3Ldf@pd><(zyADBx)^^V+R||Ap#mH@)OX`OMGfy+OdU=&rAs{_^-G
zZI?7R!3)WL-9M3J;Q3%LLsFz1hX1*~|JBb0pXVwnMa=}<LX@}WNyvgN<#&akCkNCn
z^Tp-r6Y%b0Sry$QjbpP7yY9QO!Q*6qlzy%Sy!L6-SKgDvd9NV<UGG@H<&csSN@oF!
zbE%zQ#3XQlPP%BUgc+}&*}4DmF-M{Oq{VcB7}iAMJ2gj`5PI)WJ?~31FpU|9Rc{hS
zy#LWJ7BNh4qQzGZlgz+CFki7|7QxTG&tK2GFu~vPg3$JKQ>@APD)S5pf%r-jl#XCR
zuvM<o)Qk!8!klKL2L%yMYrS>xEfXjchLPJnOh9ii&?C1l0PidQPj<O5<CF|}@5dHn
zDETTT#Tp5q(x1*Dg^L9NOFPZq8yTbgr(A$v20t>pD(|?BvEaX0(d$X~jL`pWTjuyW
zAHvU3RCs=~qTFbjUscHn9~t_u3a0bHn%HjimWLhg!`^OV1%~MRRHgM*mk-<915R9Z
z<iMGlinK*pLrgO5%ZlyeMUMLGEoP;hs9)!M9#cfcRD#RPqI6z7pSXEhS(6)Q3OHyt
zG^w!Zblh_|fEN<}#S3oDJouzWACp~efRxdxqCKI!8~L~XwUppPs@-7nWd{Rn=}rvf
z%Hu`Ay))^;>ip=-``OU(OCOG;%VXh-yvU}L8jV*GK;+*>>kCQx_|N|5qPsaCtoBx~
zR8s^o$2zu6MpYjbDHS6!mp0}Cr6nbfLI~b@yRNN657ehm!#=F?p)bs-%<_~l8dccJ
zm=g5hV$*slAch|Urw>XcycB_Q=Er$$V?EFYnw)z%1#t4D@Q9y`7>b{Zy=h;hz`=z3
zpnI7Bj0O33eoYt0h1}w(qc12p9$97086t>@>CZ9c{F10Fl^(4-w=oY+Xw@(lLY&`=
zhdKA9kZgTGH#C3(UdOEjvy?D8oW3eAddZ;W21|>jEd|FME6cwMieP9!f-);C2QEKh
zf07{uq)_RFAvsZ;*mp0TomCz}ciIU-T?(2{eeT||NeuI?=5daU3SfDBJy6()g3ei%
zIHlv_2n)E>#>AnB$)JZrj@u~M+p+tQL5l>ss+)^f#Fg;;RI>8l!xU(9pU9F_lfubH
zjff0gWn3~{*kXU10)NIAmEt#~QTUCaCfPv+8fL2x(<Ue=E4VSnMwSINUr(9oAPKFC
z-)zTi^ziP&dfE+dIfNfRs~4WGiVJOw%V(eJp-hgB2C6(fk2kG`|3}8&w-T@Sn(9M7
z>tD$zp8}}wi`%;%sev?5S;+NCAN6Gjele+l+q3dsd1dPOG+H(?kYoUc)0(s+?-fDk
z@FtZrM*}ZMXRGemQE}b=e@xb;N|+qA?r7boiSI$@{yVK~h+i{xne^$(NC>yIQli(w
z_Ibm7eS$_f%e0=t=%s>z@%Txnqgn`z&D>%vXp9)n+%#)d65cv&y)#j!1yS8U6q1|?
zY8Kz@itZy}Ja5`N<dGH{?D<mcsHV8LN7_*>Nflg+t8GQ$TG%C-?&;}hh8g-mi!mND
zE<d<a9W<$l?a$5O8E6i>SF2l6V#)aSOe1qaSra#;c|9AWEYLhB!cBX<!3+7v<M!ej
zaQ~%a@;Qn?b;c$&?in%|o@_tAyG;$tz1a;My1?+5{N;u@G7fg9es8lU<MfYn?Y22U
z)cq-X+xKKp1%$%8^GUEhqW@cG5^(y*<5ZqRhRT$GUgUda9GFN^{i8=igvR(mnjje&
zEEhN*Oeo^bVUcG+{xqD?6g=e-rwZygV@xfJ0(M?W<8)1=L49v+L&$3qcFPQ(vsIRZ
zWu;8KN(K$50{F6umsB8oUa69NR|+IW>A%A%G*kr_C=KwbV5M7CR?<=&*>{V|b;4-i
z<~B$-7gfezqVDLJv<QOw9k2eep&?(lDrk{U35A}tu^byg^i_&`nu^e1Ww|?7oly~|
z1}}1bZRUf6SMoX9SHShpyORISZ1Bu$C_~Vc8^0qI5```UIvjZg4TEy1=KQ2moym?d
z<CwGp8{l5T#i)YEvPf5dp`)700zKc=-CENG-YqE{<$ENJ$M)s(KH^L;-}c>q$c})*
z79AbQ7D-UVuVvcmGr)G8<yY4Y3k+Ty9q(Qghx$mjddV9)tPLdYrkgj%GiFmRS8Fju
zRJgI*6s{AjJZ~8mY|Qawv$j)Fxd<+P9v8ZCV2$W>C_giuXNE5IKPoE_#@3JfwjSvH
zN9?<3D%U?}3bs#ndk3ckv85`DV$k=GIRDOt66s)yhT4!rjtv6%C3C}JllvOcy`M;>
z+%*AH;fJ33$NbQ{I&tEa#X502NwGYf(*!%?7wY$I>}#ayaqLfXI-LF}8WS64jJ3Wq
zJ5*<Q(L4V<g_V&Wg}m+sv7e1VZW!aYyugF91yk<XQF=IWbB<?iG6Jn(?3RBJH_r7G
zoSUCufW1)U?9d}aXg8Y{_C|5x`j`7F0lZA$ozr@KQq>TngIR9uRh)1W_Ag4aWrkw;
z;@e|4so>9R$nwzS1Yf9h?2%j+9Lw+;8j_*ncV%0DLOTbz{*z4q$;t-Ko!2dUZWw^~
z80(Z*J_j-`U-@L2&JHevs;*el#$0E#NhXH_bPuO1Bh)xSdd+>azg!>Trr`>j)f~|2
zplkXv$b|&Kp`VmZ`tUoIT4lq+iR9aJDdZ|1<mwlC=6}(H`tR|S<HtCW7}qOQvzrgA
zjBk_O!u4<}>v*;lKNp(vj%RTB^5fddw&B}?de~8taG|Z83-=;FmTip}fNz=pjm}C6
zBxUb0pLooTf4}s+Ka>ihpF3|&ZzJcU_S)Qct>wXOY0gxR1tA#FO>NZ|ryzlqNb8*9
z#c=l6ACDa(P~4JUXa7ML+CQESw-)ii()M(bZj&e)PT1wKU(rQT=xH7J^J7cs`;y-6
z;;?rJ@Zs90i&MJqJMB#buuqAF<Ho!Mf;PPs;-To`r>SF6qLLsQ_d0%yeIf;=JFGGN
zJh~fwfvx7Gk`QJ!t76SA$soQsoD{L31N-zttlv$9LE+7oRoW~EHpeZLPop}BaLZ;Q
z2a4cbGil<Lqde~XW;N9q)4^@`^IQ7viDJ54B11Ds0rxJQiE3QZL7LL~fnDt4Snf_M
zx|*Sg%?hiQ^rE_OI}}7JIw1i%Uq{3CS|!Mp6zBSH*2TkT)2!ForI2&0<;34*W%xx`
z{75{bi{#h*D~0!@ajo94;G8)L$H{RWOFg>KN>=r`<u8l>?wM6;Y~-$oO`(m)RtjXg
z!wL>xmBXGas_W@iGS*1Lgl0Ph<V_#t=FZ5YZi1F(&8dz<q5WM?L-eo`{rFnRNd>It
zYJOTIG?1GSSv)7Nj~_lp%>Ks}VPhv5CE~4#`9Ot7-ZT10-{HH<FIoxN%va2X1GG^7
zi+}3VcLPL++U(g8sf?SK7S3O^)`sE1E=H$5DjL%s#+n>d!Db!r?A!C&c=G!)N9VF3
z)Vuh}*F8vB4S!#tMb!br|LhD@$i^sPWZD;Irix4zlK}-s9UN0q-2XMe1YR=w*LJay
z@gu_1=9<;U6JQi*)O=tH{$%lq+Nuq{>~%Vn$ftu$pSDcuk{N=z*wXYI)UZn^PB73<
z8}$>1&kLDbAXSr^bLqJn?xXQdr1J*XC|oJKjuMCn@M1o~qz;xSF)6JX4U`&gW305>
z$WPNlC7!bC@YCEk5^bZ7lKP%St+zmBP@{|nmpXV0oqrE|lOd9HB9z;dhQ}`>3guhX
z;QU{Q(Skh*IVrP|xtD3s<qxqFbW;O|eXuUSgffQQo7crZ(;(uKS>f@54E@K)-gtK_
zfb~+`bUVEz1`|l9UM#D^OPPcDO1>O;%62^E6}H5TQd_=)kSab0eO5>tm%@vk+UCLn
zme_eYy4it`1dsT25u2}KP~G8j=<_lSoJ82dxp`$Qobnl%6&J?uZj*?%4jQ!nluqnv
zRf4I))zqmfe(*i`A^hwr4PWMuBye3(MDkGZeV^0ZNF;@3dGDejC-|>IzPkc4-p*UJ
zg|gw!uho|0tTYf}y;VmQ<<V5%pgkzh1mzW<o5#z6@C5#qlmS^}zN=pCx=x3k0lYS+
zT>(!UUi$e98-3jOqf=wn3ZYQ0M*hA);I*+-;%RqDtbQ=+QZ!#Aez5q`I~f!BIyvVc
zY_;)^+^f|JndS(lG-_{sj0MtIFeSWQbfe#=Wyv&86E)Ko^;0$G2yBr5*Agd;z)b0{
zhF()d-ZutAP5KQUNgBxcd=x~fz1W2h9+O1K1I`|Q8#7pI>snDA1<+D{>3k4rk~qiq
z)WG7BDSmCIZXTZI!?n1z=nvzQ#KAqf?Q#PqV1D&;RO~P>mWJZ)JbE!j^bI$~I2f4V
zll{L(_pP~sZR2c5zfBYTJQt6Tr5ht}^SS%po}6%1Vs2zGpCyJ3bl8|ijc_M@mAU*W
zJ35j|0z5y@5lLFvv3VQ4zLm21-_$lXoLLGU+;ww-XiHNoDSKcD=ckdRU};teI48<e
zE-w*{V?qxM#SD@0Zr0$W0t-@}H~!D}?lMub7Fwd5LPgAB6XL}lW|;hb{(<^)m9XpK
zD?PGg0P9cACuVAyK$RO8$~0dmx*Wa4#KH`)=~U@K9VaH}zk0Iy%QremJ~$OGFs6?^
z;e>7v_s02slG*fX3|JKONcRcS$FIo2&(Ee9u`;DIbS#Y#uXf01aR1SR(`jw*&r6J;
zv9dhxTVq0^4yUS2gdR#(g?`*sV#0&5fGU#>-zf0Dyi`Q5hd=clRK{>7Fy8I1{HD%^
zM!MU3D=$(&)a<8c8f1cZ{SSMeQFiRLDRzxfrNGr^?|F@*%osk&Huj*26QaidyUyFF
z3$|L{G)EN{>@m1v_oI#*+d^kvmH2G%;_3;FtiLSKdFr;;qMsM)AAbHg!>S8jYeu#3
z3091LQWCx+#1D={slT&jI`B3cu)V{~4yOapqP!dgpmjpp%-Tl>Qs1<)Ey00ldikAq
z3Iq{d?JhVhrh`2zV~pntIKj9m%65c97;hDFVjteqhT5DIgq67wvG$kgUZx1r1tqq*
zQng{XedpmDojj1{F%z)V7sH-cn;BHzYhjQap(U`351hwVJvldgD#Uu$tMs@QN=oIP
z_qg!m!L_`^s&2^*&aV}}H_?LQlL@(wFagA+w}dzMNrNNeLq{>M7DAJQBG_*VBK>2^
zO)|3_=-k=jN>(@g`u52kh2ugfKV)ykpdpXWwI-fCCN0S9(YkWWQ3Uzhi7S8n6p-bA
z>)%Z^E#$9WemDJI6kU6do1A#4h@wUrN9qwRjK%w(H9jB?DZX>Ak2#caT&47acCQv_
z3B?>;%92=9`N%wQR0Ul*-1g-W+K`S<x>>#~g{IV=50T>}+`aU?npau}y~*cqsEo_N
z!I^xoE0~Oz!R&J}IXc)XbpG>Dj2vROehws0sKF{TnChgx!Ohd}Z;{gFkq&JotuPJn
zDbem04eEkpbA9NI+X|S-x}_!hYoqUI1i5HErJ&}LTG3>yBKR~T-$&YN!{><dp!{7u
zgvX@O&Ce)dLBJ+caf=Rea(P>aYxTi0Ao=FGqzV)qdpx;5>cH|%)5%YB26$H*@-hY_
zuwGA9sIt<<o|n5M2DTVN^{kjmqPr^A&dM*DUev|@#2G2?3M0r_=KBN%kWs*p6xv;(
zi|?!5j_rmfDBdqRuDp@|L!}lKg?Dtpw7}L`+iVI~E4n>y+UgLrYffPb(uH-8P~t|R
z$K1B375947!Qa3qc6fTjGxQc;)Q?)A!o%`B)msCV+)UR8Ep-s5q}5eN0pu7g<=0C!
zz&4?fb+}Fotq%k?*YpFmPTb$aUu$5%U8pHGUjw6OKl{7H(vZz{)8zea4SdX)+1#z8
z2G`<mv7`TJ*ummQ3fQUvp7`T+`ROE>L^Jzx_*#N9U?8iyLLCpt7j|xYt%Ugbl$Wh{
zEb(2P#CdE?4K7tVtOINEsQyE3YVWXwm+JvRrAab4cReX?KP`iuhcs7BzFR_e>CfB7
zR#j*Oi8a>m7RQHkUav#nSfZjk+14$Y1pTuz@jmH7sMg&7_g<kT=AU!t`;$~4pLxsA
z+>{S%io>0+{Vl=ft*-4;sf0C`Eb@VVHjw{|kf{-~1hwX?pVuZuq=vYcPI)tcY-QHx
zR!f5)S7E@TxANH39LRWU=r1vRb<{~|FAa{pkJzf+<#06aX@oEPG@-7zHYYU?{JOGd
zBx76}Pugxv9Af@SToTY>Ye)qcMz8xTTSy{;lG{)c(Mg!L++*dG25jGzTVz#;;d^`i
zNT5v-;s2z=a?Fc>BlABcXBQESc1*_7sn^$%qazQgrddGJYh;VGq7cXotF0#j+iQ!P
z`aW!ZYL0~4zdbig3t;g4ZX<^CA8G^R>vq_TnqkbYH*Us?4_0eagDY=7*7^!}4BnM9
z!`5!Pv-c_7xS8`X^3n2#+OAyZuByGJNDq7Q_NOif*g2YGVlH>omY02rPq|@&S>Gf1
zrxICltbn(@aOF*{{j}Y?wGm@Ty!<uPqQDGjgrpYpHP-Ie(lB19Zupq8ZPjHCM%+ET
z<<t2OWwmFScF4G<86o$kr)Y)&J-9~N8iNZn34V<5d>Sx>`<rinADgWcYKCe1qfM&`
z_O|&Izz~j9ZLYYJt3>cV;e@>7uZeftz3T!CsnFmk5{w`(6W3&C^URw%iF{UpbSZW!
z)`Whi=;$sH!h9TCZgqVjUdKvh=o~e`9n;08rE?1e{S&%<Zj(L4?)nQ#CkFM=U1ojs
zv*A3UC_lPfpE5u^*SX%*<D!q8XYG~+q&Y%l<`q59wISk*49^RLHa+B}n0)!;GE1ab
zIM?Mq9w8X~7-#%#H+ZzJm_V+ZA*Nl+va7nsiN%_%vo0+Zc;ykj$316=36oO_mHd;$
ztMg(_({>cBxMy5!)tn*DFnCJzYflr-SH+(xb?AcGm-g|2+6+M-dA#!5&<v5cW2<AY
zn=YFB6H-H+W{9a%^*b^i%n_za9|)ll9UMIMGhnoEhUoo#J(W3Qfp`)xC|-F?2c7Lb
zr-~$IiG%t39kR|W5mk}h(XY645XI4d{lT+YqQ+J=wWn~I=-TCT<B*LubjDRYZpF?K
zL0hz<Tl!at{jD0|QgK=cvXIWb6);cG39gxB+N~3THJ)qPRhkGMdGpONYJrG;x$m_9
zG#%D2zVw^>r-6gvFNa@0TqNS6%2y3t8IUSn^L?9*2Fzp{9~SffC77aqKA8H>h%?%L
zXWm^^N4sD4Ci;S9A|zez(n<m|q`Fwk?#`%T_gKY%x7#XVny8q}<iH9egP2H)vl?O^
zxzl~zyhdy~mrGftu|qpCl%>9!4BG%B_DMZDMAJDOlk(-n87v%W*B~QC#rSW77d>1Z
z!t2K?xZ$TTW;y#mRp|fqZXn-dfCV#WXn`yr*gYG+{!~*%X_&yxJ7P@OWZSPNmB5c-
z=3AeWD@mY+1n_d*Va6M^pj-uJK{$o_T^eyFK{#R$pQjfqC>Ao4sdt4i$mI6kbwvf8
zZOmSi8~3A%7m98=CW3;O2jBUZsi0uXmD%k(I1zkH+Hl)JF}xWuZ1@wU0+T3h)~y%0
z!H`^4QIshG*|RF|)OM)g>rjMO7!w}`E{7|s4@e>Z?-iqZLIrIs;#t`q{Ae$`^f`H>
z&pG}seAl*F1s~}3;wwK0K)d!&@G%~FJme`US`JbH@Aws^-yuQ}Pt(kxPgcM%HRgEI
zeHDa+_d9BnM8MzQmQyOC1RujsEKVXM*dJC?bz&8R=*m+M%|>Nxl6d%M@eT<p?N4(%
zxFz7gy&!IsN`h}*t623xRmA=oGP`do1)Iy07xry%EIP2fHaUchayPW=T#!LB%`v^i
zMIG|o%jDMEYM|~o^X5y69O~$n*Qq--QC`<^W2?FbdRnZH7JQb6{93%iM;C2mX4Aek
z{nNygZM_#1jTNCD&YbxEjt*{y<_7Bu>VS^b+4x$q68`ySWbMn>g)CQ(dde<cL{Fs6
zGAgK`@5#k0+3^%?z9ziAvYCRDQQ^PV3P|AEd|@JbvmS!Ci*+w<cxgSkIP5=3GW_Q{
z{n~!&K`UfQQNe_YrCAG)#B?=W{U>H}ce_4x<y)*Y^o$V2m>zh4L>;!hVzai#^>K%^
zynNl>1bjYPyIGVq5owjqrLtEa-hxdzHZf*M4!6y%G|+<O+x@(b8@~Ivp!8_cJqs|c
z*`NQ-qm9@F!#6D?JuEyr^lg72@SFQ-TJC?^ka@EEMiDm!{-eEd=YweY@6j&)%TwBT
z*je%Y!GAhPIbFS_eY+)`gFI|pMzx{9@PPT&k|y#WmRh+9Y{J4Y|IhApZM;4yxNC>C
z8dMbrvcgL?A;QJdWa*n0UM(f@R_sxM{m8<cf{+zdr49-QeAC3U)V(n)`xIbe_suie
z!3sAbwKR5L(g51Oo#<SbLiqN|1NYpm@ICM<rJ6?_y9Z{rq&^Xb>p^=_30PtJT9BWe
z8yR{jH-_l6cu;t|o4iVIg)p7yU8fRBh;oI9M<N55C!DT37jJ?iP5)qNwlYjE%1q=7
zPZRZKAvW43n_w)x5MXpm5pn{~nNdtPiGOD5jzTXi@rI`_kgiM~ABrebR|`gK4MUp@
z^NlUxQNhr>?Xv6!_jt=HEEa1|Rwz|Cm(gIBI#Ts!ToUF&J7@pNuh&XXSIriw(r|J1
z^cIV7F$|m6v7I}}P}f}O@5x*UXxlpPWu*wC*vHqWJCLdFTO-Gkpe*peJ1YrSGz1V3
zekIP~K671^rF(QHjlh8yd|@wM^PoBA;$pNPOWotMe%;2~Euf!0d#k2`9p4T3t|yeS
z)Wv6o*az=7$I<10K4uAKIC50A$d<Fz84pxHo=Y`Df<0?CWg}0|{<xJh8OKs*ZS*=g
z;E5@A_ssJr1TGT?j<LUAQD>>UTlFDO^|uKW!k49OpUe`Ho!Qr&UNhJI5YJG~QZvDm
z%}JaCN5=`f&(#(;eVOZqLZ^bb4jbb^&2r%WSA9g<VC&9TOw4sW)gI<EFN~1G=RkhA
z@RpE`583AOn5oXg8O6^9jnHzUxUD*_sMaecnvL%mQ{Ddo009606qk2A)!!e-ZLYod
zy2iCG?!8=_`!<s(s}d^VTS+37LLo{*B#M%ikw{8*@;MoikQJpuMoE;t>F4+Vc|6WJ
zuk${y*YjmqWl^$pMi&%9oU~L1x-m<^?*B}knb1!qfvc1*9T+5A#l_wq#v(U7o=e&?
zq58vR^^&?eppcnCV8H#r(!SU@(s?qWo5vO;PUlkL!zmR?>#N_`f17S+%Tk%pFHB--
zLXZl4OnDN!!e_DGAaTJvf0)qzuKpixaoVs^cr(;@aUPTWl79d@!Hh;8u%{NWXoFH@
zPoa|a5*9~R;xl4mL4@y=`s!#c@L-ib8ggv~BSr8ju{5)wC%629gE+L{RMy;$?6Nh?
z;LS=bv6vO%(}sS2O`$*tyJ0Hv%LZ0gDg0@;iVZb$S_}M<qd@Cp=U{1;ZLIEPn11*)
z4#|D1ldGs8Lv_fV(koJQ$iQb=<B<&qD!(4nZ)Hb@!}%Z21Oh#h8>~x{>ElGAJl1v%
zzeq40I1+r&p8*Z{1>5q+aU+`MDFMeg67-ib?hPqnMC0x21v7fQ=rhZMaCHg^AkE%R
zXqyS0!drCSw&X)SKcg}2*P7s$aa_X1n*}w6CqDgonji6k&+<3CCd>z{HJ%w`MY9Ge
zzpp<RK)XgPzbPkcz~Pw13pc`Wh$tAaCdw~_4jj7D&d;v_x$$Rj_v>+>s}6*5k7Qw_
zlwuvwmZc6(bH9qygt*WW&;ES`9Z_UHTKKBcSREW)JIMT^JP1g`&BRSH#CY2;Hf)9n
zx!W!q%{jct{JHlP*`E?<QI^!j`+^8bd0hep9en6q(5Z7_t5RsSu2HBYmI(f;jE5}w
z1kk|6rVq8EvgkiWwxQpbiICZFl9zNw5M3&`GkJ739(lxVJHFjnU!I=*t$#uYdDT*m
z=q1P@{FedyhgC#aSAEeK7A%6cw{DDo{UMJS=k20&S=GTocl{7iRSdPtuGHH*Dxx>%
z%)8!QQ3oa4rgJw}#gUo)5Bh;l0veOssvVcn05RK%xTbMQgcE!8?9Cx%RHn<+aeQ6_
zm~3J~eEvwI6+P8a!@nx1wyh+{ZCw+*nCG60#mb^Z$G=5<v1(|nO8SL&CJ9_83DoH)
zc+~h>XDwJ>9sP>%kE0$X!+}Q(7bg4UQ1?CU$X{g|DD7ak@?%p9FfUn$C$K3XI-YW|
zO<@v>cPFwEcWFV$g`lcvQ$<A1s_vjPk&u$wOZkHV+A!Td_g`En0i_!Bc`CY+(H*Kx
zadaIOJhQK@xV=z9`$uLpEV{|)N&wr(SQTB^P5S4CeN{%AshX+vcnXp;%k*%1sRt6h
zWUKUL6?9`IdXmY4f@Z!L*pxXLfW?)=K8h=<=njsuews`{r@jlBSuz;Gt>&~2a=#jS
zuBvD}GfqbF0X1={<;IXeEp5n%BO)!=bk|RAWYi&=_2A|a8b}6(viI<)Ba%^OX6QW<
zx-jsC<7zNK%nw^@2X}RpWp}ZAo1}@1Th_jup_qc@_n<Me)9OfLmx#faZX!xKfPYNi
zX9__d9makdsiVR3Aq-jas%R5EH8wb82F8Qs@{=7zRI%arzRN@jx$_Pwrq-Lm*O|TS
zzIY<qO@GLDpNRrG{d*(!5Q8}w9P$}lHdI6B3!Hwg8R3yz9$i_of;q@v(#1(AsG@TJ
zkDAK`lBkwA&O)zb4i8k1ljpxHBVWb0>>}zSXjURWri{}Z4xJVbyA`H{Ld3EA)oT2R
zrCa1;&Sx|5J|gqPosobvy`6S0#DREUOG+5sF$0{V6fHMc0b&0=t)4AsL{*k+&$bNA
zz*+L&Cd-r@>Z^OUufSy;Q#Y}CDEY}00^4zijNS2Q*YnE#T7<vY=HRU|CqGkIe4&La
zE0IAxSEqh9RDZ!@KB)UQZvjaBHM(`OUJ{Mm`Wz~xdK3F*EIzOpw__W|gAo(+Vrcc#
zdhO_?URq$%Tu+A>0PCT(5@iPw<ep$qSI_jFHdg4$a>juMFM1372;T%zx6`%r`)4L-
z)EU;5edkPoqW|;`&wYNhfJ>@cotUKYT9_Y=cwh|JI9@a3Ixl)Q7_t=OI7Q>t?e?y2
zF@h>~>RP!47kZhHvAlG1iZ&g%pWS}L5c>I|eS5y(P~8VkU6cM_wCmC}Ebdf8n4SvF
zxZKWyp68bjNnDtuwYqMtHC-@(%jp3JpYkywhw;bJ!uNmB`b75DxYX%GT(NB;%BM$%
z{>sEPpBkt2Xs$f%XVZruCklHU^FOSahY%>kK1z!%F|u5B)q{w~uBTirH?Xob)=S|s
z!?a|>GeJRRx)72eGq|+9g1M7loK}+@q}e3`j*CYZT=iq#v=ElCucB`XrxZTYMh<Lx
zUk=a#r4Pa49WUmwcydDyw`~_K|G*ii*nTQ#B@D?{+?~Z@9VV?k4O(d7U1d@Xrc`Ks
zXVda4X$G6}da}zYq>k2Z#%xtystpsP40j)0pTeYryUuvtDWGlq$>0i-(+0CJhnU9Y
zpV&ijx?$N{DcB9~stMWqTENnGVn%#m0^?W-e3bgR95Ycc8cq_>f~7{DMK<wqEb=hk
zq<!TL=3jVT;Ykt&W*?MQoh~26e#XbW-v#fm%G{fgy9FqaczXTIt%u*Ss(!JCDb+5_
z$3}|TC5;U8DT_`_Z6jEpZFy&PUN5GhE0Fg}mJEzJn+aLe5e(lDuqRG<0L#|&WjOql
z1bfL<%jspqn8?&ShPs=B*ub;vMg&6=93lkbIXs3j3-Phr)2u_7TM1_j^8-y_md7=_
z`3_?(J~lC79V6KHdv=NSjT#Wu6s#!PIgI@UM&9UxQEb~?c8}A7I^fn$4?Q;>!T3#A
zcF|JCv4eUJojJ<tAf9_^VzO}rV@clolI7tKY~KNkxL7YDxV|bjE<ODn3n~e^d%AHF
z6aKd9H=C;lmJ!a*j|@k#FSxHCf%i8i)-K6f^Gg*98TrIENMo21C2b%(W(Iq-p!%*|
zTNN(yaGr>^8^`8TKgL9f&0;vsV~0ept3YJ(N@n(*32fOhT3#b=4m;dITe&f)47;2d
zytEj8Vs6_G1ZJrP>|eU!HXl_P$OhKOD>5gsjSYS^w%$d|s?saEBt;2wK02BaeW$P+
zY4hIkFP5?3)-4s6H3FDEEw>{1PGjr_*88kquVVV+cUFYF2oUj2Rd4>$AM6GTkDSNG
zI%d_JbAP^D5k3UI3CW3@#hkv+u$?=*h0X2O!x*d-;Yp+P<<1{-80&5Kn|=IrNR3{x
z_diSlUhtpq5jnnqc{NUd_ei8i16xk~)+P#2{dk}HGUpOz;^uvakHUzKCfEy2G{}QH
z&#e@j;bkl$KO%Z@hdTybhR0*=<YB?IFY5UBRqX!wANi1V7Bm=dRGBd(2OplTKM@q&
z!0cV@BQC4pP#&Qn;9-y)=+2$MKZ@DHN-tdKvP|MYwDl+jg0LJ2imA_?lcYo0_>SPa
zy4>j6_pB_sdOT1QdT>Rl^vEziKG-3N7rCmz0a<@MsMCFQ3)W{uf9*yJ6NvmM#B;m<
zg(@E02X2PfGBcx3@0mCG=LAq`!%3XtyeuG}qxf_>R<yVEgVLi>A;d4KbHSiR7W_*4
z@-sDX=wx&4gc7qTBDtr$=YJ{-)mo3)9;R@h_D3UD1@7WVd4T>K<jMjc`<vHQJLk*s
z@!S%hkwoSmA*@5CvcPPSv|gORi-zvUr@Pe3AYPKfeD+6KaGX?6j#1=Cub=8LPkP}|
z=*x$E%c6Mjf88i*F(!aIcLff}ampk4fjwiQ;do#_SLd4BCWP{n8$v4k6_7}6!iE~R
z9Gouht~VJHL27OG#$}BJwB<X|Yuh0QJ^f;0F0$fC$;0*rOOG-lIbO}rY?24xaDnrW
z?nt7$+!dE3{;8rLLp33mTME$dJC=2gDucR0G~PN`siUC>49wP732^(OLnu8n9);g(
z`Q)FiiR`CGhW5BA!-2coM#rM%(BHBWuB-H96p$7~k-Db}{M33WHYo*^E&L^5NRxtO
z%HF}8p*mC#oyd=BRzybrtZthQTFBl%YHyJ$2?9)l-&KStA?J#03te|@B-^f`Gqga4
zGg*})2~-v2o}I({5~yfz)e>=JZHL1{%Vs}LtD=E4p260?R7B2OExV<!1DVH8+TiaJ
z(M9r<+fNrAWa7mw>{_e`E*Hm0tFjuXIA_Xz*;fZOnJ+uXni<0NS0AaiS2dAr6T6YN
zgbvCxE&Dt@Z4CAMFE7bCk&uHLr`(alRCKJSbm7Tv0CMRWMr}kwqvUn%7ENu0Z!58n
zyk!bp9dp-L>B#8r%jo9ssT4E~Cl7L!n*p(Q_a6c;8GWw#bM;j&2~B@D3$cA}4$l`7
zpO#LMP)fW|j#dv5#a1}JZ@*{(2U%X-RJlz;p3c~pKo(`Bd8>-D#Apdm!WTOKGLTT`
ze}d{{8F}=WlF;(X(Gt$YzFF-{)Ig&mjec`aBvCr?%JB!sEg`6LQ9-1ghywPZ3anHB
zjjaUXx-2ar5^-qizE?$e^^?+FHCU09?rsg$H46x6uWO&qR7L}5$~P`*&SShDn!N?F
z77(55_NT;!fKp6ya`$oe(;6bB<Mo&<K>PzPIB|zRtzFJ3uD@TUy^^C&emP?f-R@h;
zQFVB9=Pc8u_$@}L*E_t))nf+tq9%sN{z;?hy641{MjY%VY5jVjWd?Z<B;%~B#L>Ou
zw{AV$<bnu>9|<L?rtsX#UZ|y57)^PpckR2#3q{KNqgm)p!R*_M>tPf8Xgkl3ch-*&
z=30~p7H0u`&vXUd?&e0jaCLF3|M)=pi+<(79vaYv4L<+o$A&%+l)WYI;)io)vjzj*
zCg4weI9{E>fV|okrFI|U-{G*e&zU2}&~IAe{;6^u3mdF(<+A1nx+EowzAYp0WxS()
z)p!mwVU0`ugy)Ck?CQk-l#RfTwcz%Vi{G)7?=B@A^L+5zUlvC`Y6yZ2(VRT5USL5l
z8x&&S@PX0wnPBN01HhT8vO10T)7qo=IIE}f!FAWV&+0S!AUjUbt1bIU!_m^+R4?&?
za7t83n3+DD*mfcYy3Nr(-pr`+ImrjNSGY19v-RNDY;kIf^D^x(x6E|cDLzmlEJ$#%
z=mGWPTuSxlb(%xow?pAq`QZ5xEQowg7f2sYsvg_grg`dy3(-B}1D~N$C6AvvP<-MK
z|J#%FFw?Zo5je*OMf)kN&Yn8pKh<pHqQwYzcZKj4+VVs1eNxHr7!`QUIR-W-n84=W
zA67HO4`+{c8UFUAf<$ilTJa4QF#Y?>4A}}m`fi=Pz;$i7;LaJ{Cd~%JnpUGp^8yg^
z;8ei1L~U68eEARc1r8D!Ru-kp1Yw`d7cNsZZ8$=8^Ru_$fV^$<-p)87xT0H|IM|^D
zC+Hr|bAIE5$CI~(I3k3>(QEl@%0(?`3Oh<#59bE4?qA1fi6S6IJ!SY-Sqm)u{p1Qn
zd4bO{K&`(<6ui2bl|Ox_Kxm-*uE2F(&|}d*Mxhf2@1VUt*0~gDW(mkv`^g8ZKF)vh
zJte?eh}Ejdj{=rnzJ!Y-{2)^4`px^hBuGSLHvPYU@!Q>a*!NQa)_>YGp1&*&y42h*
z23ZPpOAOaM+!loER+9L3F<JOEoFsM+M}c_GcL%l<h2epBm#_pQ9=>bGpWXkD44XPj
z#}<x=z`YX>cr(}VP?6l^X~#f;sMmC!W<{dVb#jXwwkZd-gOgb~J3N*NAMJeD#9{tb
zWM&k*0<g@v4d2wJfZ><K<dk3uxNG@Hflf{lL|+&`v^`FN?O|t=TU(N#+4?BF8VDd~
zu%)P5L;(xac&GeiY2fe{(dzJ0f`bA~?sw?5ppv@z&0b0tc>Bi^@@^;t&Nb>nvY!?_
z_KGGstjfa1BRQc@k5xbf@4VOguNFvix3pdRjE6m{@dnD6Dp(f}{0_UJ4H1B}DVQAW
zdlsl4(xL|bo@A#&9V!@&MGL4smWLjlkUiryM5ujVeY|Ruy5oEPGffE!U^HYk+Mb{e
zMHyQMwm#{At&DkTf1o0q&C8a-n`l7$X1)<in=UYWuY9Z9M}Q>1^2B^h1Bg7qcY-_g
zAf&J3=yALfB>3HKKE|O5@>V4dj3fH+K87yLcT5TNdvIUn#WlfNW<qMumI2V$M2L`*
zlwtV{i>}}g4M=`VH@Yoj1f?RW)4T)~FpJ7+xAoP46p<vtlBqG=!`-{`AVUTGI87To
z3)LZnAx6;0-2^l@K0Cc#P=V4F-So~(A{hKSo4WTT4ayi2SM?QD!C;YZM8-)C#ChNN
zyK4e)ir;vCRZ|sI%}e`c+EpOqH)l=WLjeA8@j~EJg*Q^?+`@&G;ntM(O}jM!^O4Fn
z`!*F=D&M1~X+!{)PlDI%%uOM&AXv21O$G9#^okztQGnLJp0_=NO(Dg6@C8S!G9;Xk
zb8T>xgOYBJIH`0~_%_dzdX8Ti7Wh~TxR1)hn2X-XV4*2IUZE>@rYXU{A8aPtYm(3s
zB2F#JH3hMIJq>wIJG^PXASUB02GV;Aa#VKmZkL?I^*U!os6I?k%#jy{?#d=Z*Au3I
zQX=XEtrZ~aE<0DLx&U~!RW+Q`Hia*XPaSYt@_?O82+c_31;HY+W!*A>Q_t+J0&zKD
zSE<T}R8AOma^gPm96+w|L_*}wKS8{EidPXEI0qUBT=oKp-e*2*H6{ZigPB$tDa<f&
zsywod4?yupp3_*D6#Tc+bvd7f5y-DapS=pE!AdSM>EuTVpugr3s*a-v*2|YT>Dx_!
zfJ?^{m&8ExU+Oh`@qe^=`GM3>NfVGE4EuX%i2_&SHTD9QEt-Xf`D)i`W2mZ3$)wy7
z1_SYSmHwIy8m>39+p^vWCbyj4O!Est%jT6X7tsw`S%vJLPCg^(_;s~ZtWp3Pmg7Xs
zaT_#+4fSEElZId=$Y56($`95W#~Ct$HfWd9-rTKtV*t&sp1$Yw+VP*r_PybDo3w#<
z>$F*E0~k8;ckzfXFC2qImbkDjS`}|m24{pmc-pTm{vz-|;Zn>?!;NiP<?QZQ>VzH)
z{nRsEddUR?$%Ey`4%0zniR$T?y?US^@GlD&$_WM|4c8C5(!+$fvATGjF5Ie0k1-GC
z0Mtk~U4E7U?3AvvY^dvkeQT+8doerI3n@Ron!^a@%ey@F^K{@}T2{>;9(I_DS{JXF
zWP-~V5%0LP4wy@<YboX8fTR1k`KA>M7!j-JIWwtnj+1mj(+dZwXC2NJ)Um>&V=_;h
z@l+5jua{xni-T-0v)Ke29I&${Tc{Rk1NYI@(`(0Yu=}d0HEy0A^zKD`b<x!Z*`dkg
z><k<b%vD6X$~i$rO(pE&J1v;!{_OPg9}d1H>3mvB;RcII_Wk7^T5!QIW`iw;9jejM
zY+oB*U=8j1W3@$ryoOHFZ7K&$BpTb^aN~pQWzo#DSro7uB0qL!<Ak@$YcI9J`C&0m
zf+cDf1=8#nhc41_LEf<1*yPT8MtU>#4J?u2;T`Qc4{2`Tm@zd{WfFqVU(*V|7Lj4G
z`GiZACl4r3S6mJ|DGY@RLuB3)Waw3P-lcJZ7jAw{&^kUL0*cg@0A@8Z<Y(B(QOJCt
zd%;G;{<0VxD67REUm<~q`=B2)FF)wUZ{Ca5kbt8C6S_<7B=~T{=!-Lx0A$}hH%H#_
zbsLp1hoqf;og;7U+s7>kqr5Ua;=iPUKjZqgPAUoB)<mZ0kc5DSlPx+FEDN;XnU5F}
zNZ|G5h&SFx7)<@4cQGChQ|gEF$#+Q5S<9e{uN47u((0A%XL7)NW$LC}J_$UXe?3f-
z7lYE5*CL+`$wSD&{1Z;CB(Uoq$Cc!ZgItc|O18KnFy9drKe9!F+IYToO^}4EHba3^
z9t3ckSUWUlNrop|l83L&OF?+!0j9Ull;Cr@a#wRM8IF}n9f)`(1NO-!ez)jU!1$Gf
zRDvi4m^Rpl^V@g&SzDIKT?bXzJ}lHTl1~Bg5@%9o6CTbFJaXrMs0I=J2O=fxw7`#G
z)%~ea4(4_vUe3=%=z6z!$%JQTt|EK|)>`D@y<5v!H#!ZN9DI84&9pZBV3dtv?NorJ
z%Z2$(Y?=^7AG>{Qf(ku?{LLqO6hY`j6GdZE6GBAVvSwFwz}pxT`r1W+;@X<U?cF3`
zTF<DJlG6h*n<?q*O-itpoqFX%1POdaju+T_=tG;fw<BYrGBAsDv8N@I;DndvLPCiF
zWI6Y`-M^p$<khcv%3&l3N#IJp!e|8V@{?@-Q&NT9mv|y0j7cD`esCbl)p%zf8I=pG
zRDpEca`8;ICKRr+SqK%GfRy{PfEZp4q@HZH<ojuW^~%N){ud1@s1**zN7bOb?b!3*
zKZ(%8pigzW0Z_-d5ngvj4NMLGJ;OxRz$>a%nt(HfU+0}w9^0uw%7oX#ajqTxU%dVs
z6=Vw1)zfDSHdNtqk}Df;KLL`lhv}W|JO1zE$i^L_3iIjaYkAic;O67tsZe$^a5PtR
z?s%^PHw)}q&#TG7=aot$MNKon_-DLLmz3f1h55+0RWgte63`cHXa?sy&mNoEPy$@f
z%&EIJ62LZoD^Y}O2D#d*yX1Zlpqaz*!(n9+5U0KR?7(jZs!ci4*|mxg6E)VG=_LSf
zPKTYH{cZ|Z$cp<7A{0R1YY(qF8!t@Uxoh$FktwvwN^ssVmWNUO$W}*Pc9^iF%e8Vb
zg_<sg$jntd2w}dYCL?C}U7VwWn09pVKJat8QWpMN?XUhUO25OYnxmhK0AkWiHi_%f
z5GWFxtRK2Tv%M(zw$c{htK&TRQ-&l&M2P(`rYzI;9F2IX{fPz>$<7ReN5o;zbRG9I
zjd|Kf7Lkchf;8~n_}89qDhgKVDgl=h{?N|Ewg+8vFo7gz8I|3;g@J9QW4G1gDcYmR
zso%Yc#!x3&h`)bP5NHAKPU*T&(*73Yi2v;}f>U?*=X-YWgKue*aQn%hw4sNd2Xlms
zK%#f8;(-kxxJ-3E4!`}Aw)=RIsQ(c|c<?D<Qsf&CWc!_eD3diwvmc3eDJ(Vsd-g-Z
zbOBr-`F-d}{>dpCYxlwUi(C58vS{kvYQq7<TtAgJt<$uC`=KXhob-X)!GXEkXUFG_
z1PXK>{iUtNNqoSS>Or-1YM}Nz)}4OFkjdviM`OF*e5rw34_01IoSOG$fswWrzbxtk
z4Hr{Y!n)H(>hzwt@#`}~XFw|?NiWf+F8#}C`Jw}UbWtYtrcB_=kYCrKxI%OMT3kPC
ztph@JPqq()?&SKt`6AZcYc!YJ-0J6QsZhkl9uPIk01FDvhQT*BXg#?45mOQs{uBs(
zFgVWuxKO3)!tYzOvC&uioObesM9O&lUY!Agan_pYL^`Og@Yu{z)`ruj0zZa18KCBD
z$KgYl=s`o`#BXA;7F^}ic@@UP0IcsVJ?cL)z~L2tu~o7bv_8rh=G0~YuK(UU_F6GP
z+s2-4&es&k?QJOD6U+cw_e>mTJD365zbS{>Qb2cz&-36A1C*r?T9x~;!jzZBrppK!
z3XEbG@;n*grK?H$wlWS>(wOcxT_QtRpyK&|%uF!8w8wplfdkC?Du%{|$PiNC?|HqI
z2@(VM=(lZi!jU7`x2Y-;)DLd;<rgu-bTzeCL6!#sQ@eBoj*`HX+4#0p2@B{kIUjMU
z;00o^(Ar}T60|uFFE4blg0zKUozhP4W3ra{kNL7Ds14axUKGK>fw6h#C`$o2C(!mp
zYDNR9s%YB=k?auigV{W^ToBlmhlbO3xY(oEZJS$w6Bu<|v<V;#OuUA%1*_^Xdgh4T
z_IobaN^6lwn-YPVbMOCqdRHB)cB2N%QXUvSaWCv+g&0I-#E;rpsDopj%f0+zUf>Fx
zKi!Zk0pjJ0Qs-IJ!Aj_AiuF#P7h>Mx<gAo}^^SdV2Zo413|h+S)fIqauktT({E>kh
zUDsK!b`qg2EaX9KtRN7|cI~n!;DL?!)opku2NVS_sb#MULFK}gTzVfl5LP{~P|vut
zZ;@@aLX-#`*h>>>u9t_a_dSMt_o)L1H{<NAsu&pV^}Sd|Pz1V~*{?bc>cCkOrWQ9V
z4&zUKv=y@mfWez>_oEtcnXht*rB4#fWN(DtQd9<=!v>AaL`}&2;bS(`Ck<jk%lC{b
zRY0EAPAox~1ddre(xaDTfs>1yPSaKmG>5{|8efv&^y@xx{S-XdC|Vx=G(v=Xs+Vrg
z`;%dvCX27Gl>;ID3zI85y1)6ueO1Jc0(DMgr9Z#qf#H1op|CMckiPp=GRIa6=v!?F
z52O_#R+A;JHG>3Ee_n4Y`D;UshZ)OVX95%!u~FT%$k5q%vR|^C3U_H5Wlhmakl}MD
zRKA!D-89dbKrvl-`#CyNs#F==x(1n}w#XnF&GOGKT@QAKHoWSs3Jl#_TN9F}z?z*>
z?mI05_%!L`x7n-;{LzM^HbNA@t=r6g9W;dh0RRC1{|uLRG}n(8#*w}E%--9_$6oL2
zLm?xHNWTb0N(hxAzD7n=B9s!9N<vYR`M#;7tU{qw$R=Bo)UUtqIrp6BIrrS>dEL`d
zZdxc(hhCo}Tq2zmD7us;bu!5u@V_?>*Y{{Z?GJawQb!8-<(~R8u0}xcNdZh6)&To@
zDy!f{9cW?EDS5gVz;DBZ(U7VM2^?n~m5sIGcUSP|>q3?gL?oViZL0|akvBNQziYtu
z{~eFeuC|2e=BTTlGMbQFKWWV8q6Y9J$tcL22B$bKymznBfVhjL=g!0^!?iuV24oQp
zsuv!&UK7%QFVQX!deRjj;tRhdZJGwAyN@2(ZLAKPWkv0*b7kS~yZ2mOyjEb`8?5z0
zO$`RGx<2#|l7zgy8E<EWtzhucyNX*2D$qI}b*uWf2-J$XUJ0hNf+*RGS20H!%C*b)
z?ElLTE_*|Uh2PP@>F$%^9r8->IXsrVRe%ddsj)Vi=V(wWksuUNr~vZM=@T`#GlAgt
z8F@Zq8i=lsU8)wA2j`;G8E+165b1Y!ADis6gtKc@kG6BNAa!2$k>}|}BJabBbx^1!
za0C<-IdIBA<<DPy_uRh`flqA?kPMcPvS#URt1SuhmcKVI3N;g@1?+{vnE+mU3=T^k
z6bF~hXrTV)IjPHgy!@yvz{exAo1I^az$>Yqz!yUOWc`mH&XK+ZRPtydkGl{!4~F@L
z)DDqPOC~#u&RD>g-Lf}d2?zkUb)Rna+z1(~BW+5SnZvGM3El_k_~0;E$HISpjGT>Z
zx5)lv22-DYp4?~54c4ZjVu3Sb<P(Mhg$y1uD1La`^>YV1eDqJ6V{;oL*-!t#E<01$
zd;O+&TmuWxKCt!ZFprYa{NGlb&zeA^%fXXp>6l<eLnVWb`i*R!iVPTfYYd)hQBIke
z4A9g2W3qyAi0t)Mv)v|X46c3?Cq5jZgPS>#L-zn<K%Bn~Ka(GyZ8q2zVgxN~Z*@jQ
zH;A#!>*`AKedK)FC4uYBhR|ty-Bsw_8gU}6izR=di&P3xxy>kV2)S*OS>JyCAOdIV
zl*Xf5$rRHaS0T{=S{r{yMV(nDUWjL=GZ{Z4U!KTI5u4J7isOpp<Df-?m3TV$w4sz-
zQHxdlpQ}D_c~m`CzCBOqeQ=$azI=)JTcM}&u}KdWBP$HT9A=5ty)9EVLQjb#;h>>F
zeLZ+?Dtp)L?KDxe@gR%M<R#I3WU_JeJ{2a&@vqgdCJ9+R3;B4}4&ud!g%))sDlG22
z>inP51mV!{)m<FcO?ZSTDoYmW!jpjR$;U%uM3FDu<iW;XLOeO|QNE%s<X=2gF+4X)
zxGtoN_0tUyESDS$vPvlb?p|cqtnDbl)opm@qwFA2xm>I=u1kTN&wjCPjE)d>RZlsq
zY=;R?YMx(wqYm^hkhy!GjS#=<6Fs6%jS$xMT>Lv6b>RKk;DoRbBSb?Wli*DK7@;ck
zOE|7k8!*W_KVNo~X!hdvWDuStQulZ6kDbthin?QGH48_HaR-5l)wF3MrYrgTX;CdW
z@75dQ=sZTuq;u+RQ=BEZ3zuH+bJ7GRZHCz&I^)DZB)ybh#602MSsl-FRs#<4awLvf
zP7t4Wy2ZVoT_Czz%zTcus>59RF`vwYN#fJqoT<VyOGK>H!+|({b?{}0x+A|jMRdB9
zKc6#OA@;oVQd0F+1D*j>j<D-9#MnyK$|kW@V({kA{{0oIz{Dp%OdmZ<>^=GC{AsB*
zBKjiPtH-7auDQpk@pkjXp|BO2r^`A~>bBLn&|d{!<i1uY3tu379ln*)*KQC_p4J@I
zua#lDu`#8sagi8G4w1X3Ne7n_v{y29mBIhuN3&$jWg<Q8S-AUkdf4-zhu-ss5)7vQ
z-89j(Li`9C_e;{<1efVVkAbifXtf^*@Qz<4W(~)i>1G*$%n!Pgc2N=X+}6*vhO7}B
zZ5%}tJ<M>YC(=DzKoK72S2V<2SSPG~);=^$v%>ESSlf9`0d~r@;?}VZB5ct6x1S*g
z^bfN*ywOyE*m_2%S~EJh_D)_!xq%C&PHeql_(~pJ`1EAM?$U#s%pMPKOI~Qask?7E
zP#);}woJwuYyze)q3KGm_~774sZ<^jdAMfE{59x1BZ%klj%tPrfP<QqeNU$x<eXlO
zWqivFX9f*ICv1hFeb6cQeYPAN=AYdhILrz%_i)dwy$CebFx^-`BnKiM!a}U79N^!3
zRBSd@3~okFM`Z1ggFpQuRXN36@Su0^O!kBXOqV<?-{&9)$y0Z<8L7NbT#&s#JXH$z
z4Djeyc*z0t`)Wzz5g&X}we26Slz~7NhPbeFIhb1#70q=Q0Jr8psnQ?^v1X&6Y(C1t
z`P6oe0y!bbqmD*<e3u87sqjYyj`F};oz&7IECSjVi_D$1im)@KnWcF~9!?GT#Daks
zuobvxf4Hj*d+rFa%{MB5-u)*+WV{5N@?%eku2hBP$niqcHbpo!^d!(>LlXF#i_|20
z)nTc!A>yi}GFTt|!m{Qf1BTr03gbLl@NKRy>vp{g$X`tpC~uI3xR)0$tElOK#cQro
zqep6R*zm1^p1C{}75Im5b)dlh;$pffc1_56>@U^bp#beEQS6ESx*+`ZNRC#UHfUFS
zNdyEdftmZ;P|gr4L<IVb=EYE;sbZI)w6F^7F!gEP*sTX&b0SZhI8z}ev?O3_qbk&C
z?H(=`(}$mlZ{knw)(43NUtg8I>L588k7@<_u&(=-b8EICXh+$tN{(wl@{8wvVW0Ft
zRd7N~`Ij+t(5~|JI{niluqn0%^}##8`+3JnGl=N6cm94x8;%|2?{c)(hl6S^R%-MF
zJl)0SFl?a%tQEntG5hpjNzIBozaHSM{q=3`mvlgGFj<HuOodJA{C++omM~k$QFf(4
z2TJ!REGh+4U_zRSZtuU`S0vQwil69!C$sOb<MUb&JE+W))@%h_JXX~;r*)wGh@x>w
zwi=vHy!E5zh&AxaZQq?BpaWm#$^&%&DuSsKOJU4_HAGj<KllBi1%(aIdmQ~_!H3!O
zYX<)ocyNIYsS%p+pG1$*)TkKne;=gA32Xt=^k&tA<?0}{Z9V)>DIXZ0xXCp#Y7I`i
zl2g7uRt5irm?r1Dj3Al(T|g`I-~KLY9N%SSIL~&V^=aQ6;gPxH<r!IPFrMw`{~VwQ
zBQM2W-s`<5JA?t6u315wiiJ&)t~{JxG`DPu`9ZGl*Uo#wVFkQ9oc$g!%EGZ_kL~3f
z^w`MD&h|Ef21(9MI|n)?A+v<#3adB^+RYGuehpZHVDrPFkFUf)YQ0J6L^nJBRG!SM
zwXuXN6o<Zzbs-Q>xJ73c$c1suLfm_+0Y<zuTUW#QK~-HbzDk$}eJ`unm}&x~XWuQ~
zxsMwxxcDxgVdcfO&BGt&b`o%{dcN=cK~^~X(Lq_%iWeVQgajPfV*!>Ns+vRV3?Ppq
zG=C>vtlW9~R%WO<%)4)uo>BQtX!Fpz-A#DWb<|q@R;C%eneq$Ib6p~$q?Xp21$ePY
zt7h^Mnt~j^g3?6i7_r0kv{m109=x(w!mn-31ggXH=DrxeBb@71!Y>`>L269Sw{<fU
z5EZT^@F0>eqpvI~iSc0bfA>BfNHvC$U=<n<-B<F|8CG590dC|NEE2W-Vg&wa)}PHA
zCrL|IraHGeZd9@0WZN(?f?x-UBf&8X<n_7b_`rH@6jz%+v3}hUjJwBt=N_(*^sS~x
zsNcBJ{+`zF9yUWrVf3juma;}R9juJY*X6;WzjDpgC<9>RiU`dY+8_;zeuj3J^5DTK
z(d~VU`f!u(rphRl4u{-+Of{<VBKM7V`njR{uuClY;^k&~+?wE5{xgdgod&(b-Iw(s
z`n$7kgxw}2)7QK23Gv~NmG%wZ7(H-vps$K)VnqA>Y7KiH@L_?N<zOq99{ASAaBnqa
zM$_BP4=?-hqr@KhmV#SUnAbHOo-Sp<n&(TCiy8u`RN&3<n4p5fX6<H*3L82H<vnHP
z7sSr2$RT1_7ucPwhZ4)!@%385^cg-OoRLvZOiR;+ZTsuOSS>kGswFvJPD2>!xBD&4
zo9e<rww}+|$GFhqT#!$JuLzzQxq9yN5(PF3&3v4{!Gp)Ur%M{EMDf7=&z0SeDB$rp
z)6lq%7lkXI8<;AIqt}M{&7f!sNcoB0s(i$UeHv#(>mEzse-C5AJ)J0!ny~(Nx{e<+
zo(cSJ^pQmI4rbm%Y7}sbaa?zPFMww@wFsWml*Z0(?@ed;C~*0#)JaWxA(XkIb%`Tg
z2A^5=%~Uc{z&P`|=v@#-$Bu@~BN?*DaNpccoQVR@S$6O~z9fRoxe{Yux8$&);G!O#
zAO&=9J>cf~BZ_<K#WLrf%j5T@fa2zVJ<0-hy;D9djvi<K3w}JWfW;xs`4herus*b?
z&&$6VZQdLxzOSr=oGOoYE#0O-x54_o1ND-4-)F>6+Fu#%TrHTQHz<&jH!ExyC5;VN
zwti18RzdGqiJy26>q2W^!PoFRGN`~QTN5&+ii#<6RSNUE5cSP+BRN+VuW5ya{!d9A
zyZ9epUOq<!-;13OwJylvq)*7cXKor;%b{E2zeNu=*J=Bjq{(AMSX&L<QBAZ7tuy~7
ztPgJIe6nUz6p*%0Zy+v23$upmxKtPnz}$rV@jX!y)o;X0f3wlXeP7>biZdHR*DjMR
z$0#KfYdlotFt3e5>6z`9WsHEaW4RzTKp8hQCYQpsb@15v6CLhO#^A47P*7y8f;+aG
zjhk)J!AH`>Ov}Ii|0?3~JzFkSq;YL`Jg2XN=RNN^NxU@$u7e$gYjvu~av{WH{g*bb
zu1)87h?s+()$#3a_G)-IT=12Gp*FhMm@*W3Sb)_0yoT2kHQa1umLVvkg>_4_pRT46
zaIZZ>zxAgY4n8jXvbk0RBP)om>74+QtGBng@u=fl|LC@0E_KX*x13(r1+c@OE^cjA
z4gVz8Ha97%A_ITsjXn!Ym~>wkP^nZyH~*x)H~5q>o^YTPXIlb&Sbu82g&IoM@2mD6
zQowgdIqoOEw*)pKx*@4h6?a_^dOm+!4z=1w4Bu^7!l_$Fd>KEf;HHvisgFWr(2HZs
zrX_9~aM*hLZCz4Eg%|Z<t$CZVLt$k^mz@Tx5tIJ>b4vK6`4nSCjwnt)_?>oc!4iCa
zx7n5SD56ZN!;QI7L2T+Tus!w464a#STu+oJ;0NVKk!{(0n4Vi&^YFYS2;IJz)o@%M
zgIu5PJ?PGbf4LKkm+dTJT*&Cs{|GtUYMOq5c^4~2L}zACt^*Y08<`fe$>L0fg-nAi
zBbGpw(Aph<n<JG;){mueu_AKf+ygp{tF3xq<_J*kxnXcTP!dbCw4U!BTqpH|-={1L
z5)j|^{M=t72}A))sav;J$)8%G>&6NMtQN{X$Wj(V&9u$$^%Is!d;0S5Y<~;5ZmYQY
zoRJ9TwNKnRyL*xBIO*ZlaL*h<0s}q?1`DB`MMLut!vZ<c#r}SE)(ph2+i^L)7QmJ%
z{p{Ud^W?!W@j^{QGcXr;7aG5fA3codn9e)RlL;AF$$#Qap;&0z-En~zFP6>cf32A(
z_tiA9ba$D+$?$_MNhf*m)&6Y>r_L^rQUY)Ir<F_~zw)z&#y`LOZJbsq<%{G*<+JI)
zSYrqlxt4Gsk^_f3G_HW~GWjHr-`9J<2t=;=l+^UIp?rec?X@Q>r20U8XNS2F$Z#Fn
zlYD{|9i;NbBa&Ci)T3{$AKx+rGu@?YDo!l8`gQ8Ne%u<FZWOtNmD>=G$;N--_GHF}
zatWtz1?!}zYhXlEv;oXGg+1-dWkUW&{m|vX4RZLs+p$k``jED7uca>|6DC>g%Bhj1
zLwVa0Yo`ExxSM4<`1TqjO1ktM8}y^c0Fib*v2S{CmhoWlRWC+-{aGrYvYG+K>{qKS
z{Pe)s+U~#w8%F%1m-H@FiV>%7l8nvcRNx$os_k}T#Fx7IQLnEsp=?W3PhBV#rsE@)
zCzBbmI9r6;qRxU6K}VUWe{>=5#OcYh0Y*$JsgrO0z=}WrD28vz(1qdCs)?>UnQ%S9
z!|`N3J9a!P7!g#~1uD~ASKu@gaz04TuZ`zK-nU&!ZA}#TIFNLyqlg*PsEh&?sody%
z_moGW9|bg$a=fczS#VM#TczKV7p12*1$VJg;IK*K(Sm4Jw27rf%beju&zJX?9#-kV
z!k!P(yRWffNfbvy{7ZfehTQ^r0Xk6mCb(neD?6%|C+iGJ3L<aq-Qf*s9Vk5UWlO6q
zCyIJqbyCU@!nn!I)o1@W_ar?j9n{B#HUB#mU@9eo*T}ce8XdGjhizf0FoOr}&WdyY
zeJzTV8(;0br?o)2V)w*@8eV)@VBKhtEsoo`S+6==(}FJ_I;!?P<HM|}<lyMI%{Wy`
z{~*jq3qo(3m7W~r$9L_%ok|%}DAI0vl*L>NSX4h43Wy3~Z;?d0kdF-7rcv!KQncW}
z(HT9nKp`xwOSrP0CW|gLsqr(GTA=oy)0^oYVT{<#c;QBi9EP^W-Eumr1ve&Ds^<2H
zq9NrfEl5}a6?ZWn-uhe%(tE7^Kl~9xrsjtm$`OkAM(jfK6H{#%c^9+0r$GW)4?p@f
z^i>Jlt*i6ie9;Epl&9K7mnG4^-9ETsmkPct6W<r&p#%T(^KkV!FO4z{ab+)i{{3~C
z2f5mxbb#$r;G^;m8Fabtx)oj3ansWX?l&hX;II&RCvr#@7eC!h+4NQeW2c&aX&UH)
zt~~w7?F~5;Hf7#$x6s1on=jVJ`KVA*(dSkuqksliUW9zl)<(<hko}YYdX9^S`$KLU
zMf|4T!C!qq2OI4lOm0!r2X5zE$uEMGa7W(YqU59wR%>MqOdT))-<^ka>(iC7KP_c0
z)QN&0MET-&H5$TO<Jap_H&n2&>&ls-^Avn(G~4T;Z4ARtGUfN(QpLOb?)5ViQE+SG
zr0Z0r3G_R0Zx2paLod;gIgb<yrq;A3D_NRBW%(w-jek1x=v&-Y3@J$eD7OE^TXWdf
zuBtG)qK+Fm85Hgc9TYsBK)>Ne0F~yGm3>eH|AhKi%uZ-yK+$dkK|g>)a^Z*5?`mM)
zuxLOFhZY9MU8THYw*;HZ+i9=MHIU{Zx39ie9bGHV`HWt(gsWS4f2c)k;1*x@Z|z>H
zC~Pz#s4eu53zVOYmGEewKRcB>?}-wgmou4r5K04X{Yb5#!|M1$`Fuv!4|#O*aeuQ^
zMgt<X5wB*cVT&x|IY9$i{BTC<K2JLh%$6@_D4tivo}6V<IUz~h=rN9p?WDnf>pv9j
zd{wZ`r=Q%(DT)i!Q$|D8G&nq>^;<$z8RIxyRnv|L;H-A}`KzfkaO!tlWPPfLwti~@
zvpL-8Qz&B-YfFP0JSk?L+Z52mOmXF>Hw$WR7)^x!w1lL((3IW}au}|{M$0y#$EZiV
z=jHP);Vzd)`sw|$=wwkNd(8YNS?e;#F==cGYqHxV3Kyl3VO8^v+V?q9bAnwo_Z@)l
zAJM}pdXm^x=H#_9GEDZl>~@dw2MF@mkc!C>N6&97YwL^e$Q<jCBcGQEFhAW9v{gzJ
z%`D{jrU&nnuR_d=QX~mjx_Kn#U8fN0<u(5mudgA*pZZ>0u(bf8HC^80Wdd04ydpiP
z`kJsG<9T>E(i~DXEe0u1`7pbq%+AZDlXx_Hm)22g2K$)pv%A0YU}3IaYMR|!Ld@<a
zW{sIbgLF03;VviIEY_6!thW<UM>2$#6-`0o5a-0j=WKW};OCcPAuYs#R}a(I4w(Q@
zw$w!Fu;9^*OHX6&BQfCW-JMZo3@vYKnXM-ovGTz2J&aOi#BnFZ7nhifAy(lxwRM64
zLwBCpV3*G$>+SiTfABN{BPwe|yDB}d?o1Q2Gi)FQbZAEustjR*W~3|b^p_N_<KE(O
z@(s!TK*Yvg&=7L9Y`=^?`Ar)6dG{;q>L#K0!K!$q0i<yrc5q1iMLPH$U|LP>Cj;x~
z6Z{AD!Tx=~DU-6F<oNIIAB7!X$t~|S`xzbe;fCGc6E3Q&q%jZWs08mf^3|ioUvC@q
zV0R#W`_K6mvYPUvwS*WWZ!Ini-qY2Ci|(TDJvWxg9fmpE<s&D_9CX_fcAp9_9ED$p
z*e;V@qdhFj4Kw7;-Q)XtRj4qc@N8_QZHb&u4&L>OZJzusCH?Y9@xPpkke&!iS|a&7
z|Ce(G7f6qYWR?>ey0Ay8xrzJe66u!mEZg_r-0+-#r^I6l{C6PZ_^Z?<l6i2>yw7We
z^ySN{cOw4f&bnHvM#mD#QQJMt=(I{UmROu->d=9+R_?_SX3M0`nzJv>V~q^57W-+m
zPX}6W3wDNdFO#RewLcrhuaiy3Qe;}EwZWEOhw@+M3VAJQIB4+g2Km}&iA_XG8<gf9
zH(xsWgN$qZc)Lk~4lk}Pe(`eGf~^r3W@J)V$z-knt&K&}V<eON%c@*WIJfXnLAvQD
zIkML9zoBsk)Rr6YG5M+iZHHycSd@N|7b2CcrXv_pJJ+{PR7(SXS2*c*Jy|E~SaUfe
z<(cty#^r?cM0G&9y%&~`Z;(&wPgEPPvY@T$%lF@g)xe|cgOXq1U(!~7&kn_9Hk9lO
zjE%QbgXI%1{<O5v;ck_nmg7>KSZbR+Ir>x;+#=p;)~(Uw!p5!Jk4|yp!1syzdlXgZ
zlOEgg;vdhBE$6a-NaDqEclEvJ9;-mLGt0Vf9V4=w6|Oa#<wKj&V|z}~RNzp)QmV%e
zX5`yPdti2401t^w{7D;72F}jtp<-@Ul>Dr@azj=K`E&yqL=%-^Z=dA+<sWQFjms@}
zToT5tKrDP}q6~jYJJ0)^oOtS)W3K9~D0-f~wc*a73>xm7SMprBu{mD2Lr6#hKaxgc
zW}lTHd04PfIgl5d%}(fb9+E`mH+9cNJCvZQk1lZX1s{t3>D$@1AdO{o5(kC*l)(1e
zg!45*0JFFi)me7QVtAP|-{c=9&>QDZviu~7)m<lxj<(C8s4<!KajP=i4*f-IxFU?J
z$roMhy%q51%wNXd$I4KB{-s}iv?xmaRnB7OP{NWOdyj`Zsld2|#IuWM#IeebR;SRZ
zjOJwJwiz*1kh>iBovms!F4w%E%@nJm21{9_u#_6`e)s)J<&Z{siq{c=OX_%;Gor-Y
zR~=3sc2d0XTn5J&YBYV%YNC`+c+dEE4LBdm+iE2shcB~e8aooS(JE@o_^}o(IJj0*
z))Xd>Mqe}(`)YL1<bG74L$nUu4c)fD_f-M6H(htCyhA~b=$pl@&nO_b66C+hRS6&7
zSP?9V)kV&bpjHh7D!30(Ua+?*<I3>yvUU?HPW!qaQ0do$`&T@hWI+|bUzm&(YNz7k
zmW&GNVgpDVr3t^dtA@{?!sN1=9&QmAjZeupf}4TwgSpq#5t-Bc_3ZS}N6h|u)I$>}
z>it#0uBwUjcCU|eOX=aC=3{25J!YWzy>4DxLkr7?A_`92q@oOGl)%q53pkp3+fZm#
z3&Vs5Kl*j+V%S0Tzt+hBtAj!e4zb!e)ja9(rjmlbXTR@15Nipn3LWR|>$TB`N^h%Z
ztAkahMBvyS8srH0j5-u+;|gP=YB*@(KzHk}R6#3{F<O4M1llMcU*e^CSrxtN<3rVN
zS;3ypTamYuwQ!BGmiW}Dh_weMQ@t3iq4l)9PIR0mE;HSB7X18=!(`rIsi8GQm@@9`
zHPFD)W1CnB%4Uq7&|3;1tYM{EefruzKIL^g*0x(t2p{(DyDukW4SAQP<?ZQJQ3$45
zWlwV9J@Vu5{8uYD@9({rPDdG=sSPqkCJd;iRaTsL#tH_KatkioE23t=>FDS!3uGtP
zz?BgZD|qpXYkk#Q9#tI4t(5~+r0riNcBXt9bmjYPO+O)vrVnFmZHC8)-V-ddj^Z?!
z6bi}UG?2zNty`z>g{=_r0&RC#E?Gi}YxmNbn-b_dIO-Zkzd?lW%jrJKWeJimUqwE$
z5XJb<+FBJB^iZ1lmG^TBK;o6t^2vNcSag8hRz+?Tr0%-+;2jIVeB=>FS!sSe8Y81{
ze-|Sda(oJp5GLR?LsseeE^ah3?c6G{i3ygOCKE-JE#OKZE%(t^HvBx}602gz1V-Ou
zPrkD>hrH~e{}O$faM~u&!+8r6B)_2%r~J*}_%#9Hdv5f|T0JeQ!@~s3R>z**y<`g8
z+7hlN?O!KjM7=yW)iT1*%6O6XRug#mDf80&;4*16S)r!y#t03G_nDkIOd#fer(Z`(
z&ywx$xi&A&Yy#CorRzB^#&A+Y@Qw}njYNsagr{dW!E{Y(GT#j&;A*UVL2mSrgF8fe
z+w?a<>Fe<?W<LypQyo=eM=QuOvCA@#mKY$~m7(SK4nruDTxS}~e?eT0(6>L^!T@=S
z2l^)}4WO8Xtk=5SOH_xx6!)%X05MulQ-zoT_-}14ZD=1N+&LE{jy5p>C5s|fdqy8(
zBR!azY{rTI0{{U3{|uLRJk@U;#bs6YzSrI^uI*l%d#p4R4Miy`p+%@)RFZ}?l!_9e
zl9Y^;k)-dJh@?<<Br~$IlkoHJ^LqX`ujg}~bKW1jO9?`U2H8Q*MgFUpW?(n>a^<Ve
zL#&tIB|YyLa^S*j!Mlt@3>>XIQ+fW(Z`O-Pn-=~haA2^MtHJiCA=Z3jUdzoNXU(r^
zlfI<Ni5pd$3j(|i;a8=R5?nvYs_7o9Qm*5KqM_G5<zEIs*!}7Ju4$H;RzzZXG8Z%g
zF7~buG(g12*{Q67Kdjr4C6bXhx$)oLyQ(7#`WPKQI3qOnm-TAb%{MR7m*ePeN2!(3
z`Ur}8|3I8=p0%~HK(>5f1v2WU6*5%y(P4G9Bt~|T6)k@{_4Gy_oGF=487A~#nW3J@
z|AY<Ukq;Dmx_PnffhEVtE<HpXp8CG{c^UGMy4N;^9|xQ8u9;mA?l=3ninuvIY2Grz
zxG4x)(m#RfZMyiG7-Z?Zi4!Fj$16Xz2%(;C@cLD*4kDcD%WHDEU>Y7@=gcJnp$}Yz
zs<Jw`@6>nKNq;$9`wzcxTQ3SlM)<~`H?*NT?MeKuT7jnN-Mz10ilJ;+FLhp28|+qT
zi(Th=P<FR_x4W4Hv@63`Cp^-E&tk$0?>&5w`?Rc8zncO>?OmB#_FDK5eND64TL5~U
ze5<veOXA43_1ipW=vY?!i}Gr%5K2!f)@h|kW0`{E8{J|$yc_%Ww+0JiowCvAu3}ld
ztnQ8LkE27qZLIYKAp-HIwT|D|6rgqH^cJHiIvhUT*=VjH24>T<)t`+OF{m2YteHp$
zb%*i8)O+G6{kyMr?3@zlD-RFbSJM$y->ofeL_srO;Fh@_Wo(l)tO}9SLIF8(j2Nb3
z%JY@hitVac&d{6FjMKsio#9INGAS^{S8X}csRk*!8ePLm8^!nL&1_!F!2jJr>6^jo
z*k0WEAW>WgYp?V=O4Z20NcQHy9cfJ{2w%A~sH}@X8v(BNGYVK0vv|j>oQ~ajGh<f9
zdgzQRyfT@li24WDrq26m<C3w^Q>%GBi1eh&iF{MS?}gN~WC2|)6y~Kd`}DCjONhv#
zs34KN*s*QB9<GZA%GOL6;M_L4m&cOs{3h9tzu5Ir)|J;=qsBlBQ_8I<Nevbco5Zs2
z>w`_5cvN_riMUTXw;elZs7Sc^J4Vg`K1b;RzOzQy{-KW&Ev^9#<8Rk+)Bs!EMqTo6
zn&5q&e<q)qCZw#{<FDK`z|l|Ll?*#G1ivKYBJAjJ(*M5Q@}dF!YHg|oxh#-68Rp}x
zrG+Q19c!D64Z!;`V^pWg62^Aw4W<2BIQ5CI*XxNsGHu7|QX*JrDZc7h9-xhYF+Ovx
z7Cqcq=@-hp4QNPKJUd8gBQusR$+)MBjMR@cg<Gv*U6!5_Rih2dFDYp^WwkNlblKE*
z!5Y~Y-8Zbdrwtu%Ujw?MCOoww?8YzJ;2_V}*A8mhm}(ELIAueFyVCgEj8PjD?rKq*
z^w&aeoV~;`SrxEWyi8~@w1v_k_4~%B=@2dV32&ZNz!gbJ|J*IMm=o_Wp}A@za?_JP
z&%32z?BC{SvvmH2_2vF?ZVfEd%$)Q!l7Q$#;rTJ9E!I!BzN)`T!#B}Z7K2Y1N0a^5
zD=yd|@I>|x>*Z=tGSu{NoLB*q?_1cCa%}J-Z1=;nhgINODsktq&@z}kUsPne*g!Qp
z_GHRuB}AV{QGL`g$uhHRzw1714fa*b79JTW!Yj7-{yyFw7JXfj-CU?O&YyB0z6E*w
zFd3~sD3Q;idUlkr=ds4Ikn1Wd&15jfe%fQbRs+FU-x}N%0~mRg*#B{pMD%9H=+uQC
zg3q%1RH{5+rkXXr`mqE~G_NntyfsLi^PDpo+Qx#vwTC~cB!=w%K4zEvZ-STmx9*u^
zR``0;+;C%^Fm4R&to#x-M!e8<=+U@qiCwM}f~{VHP_pnpnI$_;%pI&EF1)jV@VIn+
z+GSn{rpXZAYU4!TI*nbmljiWR43m2$v;wXt6wUt<W5nEMmlQ5-bNnrubKNt}iGVp@
zu3sz1h^d^;Gk*@6VQ<OVdt#dG2vGHY)h7F!&|gg6>6K%OOF;$?-S#fBEb`2y(-lSt
zGk819{xgBKqlZ8^*Bnc%_lHhH*C4TcN><!!g9+R_g^SX)XIRIj)QO4s0ix}s(3#Dt
z#(4K<-9Jjr1Zys=|HG9XKZ#;yz2M1Z#<-|_^K@AIZ&u8Y(>6i|y+p-{mk}|0j3Dsw
z!k(b`A=Y5&>N{<;ZeqwfW|L<n69(e(uZz_BS?{&iKj5?NB!0a4z9-dy38AeW?2p&=
zu;TuJ@D}JG>?+r#={;b8&rOn*HT{DXxbvXd&%tlRoy61o>O~nS=e|1iPrHp(6aMz=
zoLmd>pXbzBpUZ}*Kb6s6Vb;Wo|CIb_B(;%v{6?*zjMEUI!Pf*s{(NDD<hC2fh1L^K
zE3SlBoi%`x>3X-5iJw_g0{_IjAABJ`I?n{SaT>ry-6rmzQzc9Fa9oFhKpnCC<&r}$
z>0^EHL$S48rL1JlsWhLHHAMfLmA@Vc>%)(iXZG^GH>`XyQ6ZgepNP*N&0J`SdPvD#
zq4m`vm-X%WsfEzTABh&%2j-vXdeAs&`@`Emopt)_+WUlO6~VtQtZep#E(8f?UcUT2
zR>QemPWtH&glE!KIqOF{@Vc}r$44-P6<G77s&}T6c&(G!u<ENe#0Fy@s-3<}aMT_O
z6|bx$yvBk*buHJ1Q(VG-DqTs$yXcwhfq_cGK+S2}h_x1WS+1!4axsnQuAkX;-|YjT
zd)-IeE}RZ)?UczUBH2XCKYBuhSQT+1_i+zVt_h9n$=_pSUlK~KEQJ~BM<V`f#YZba
zO>o~5+HQ9%pLm*~qU`EjO%(Qi97)=#0V2j?(QvMi;C-;eLvsET;W0RHfq1Tt8leQ?
zDz9Q9ME#=S%kMRWyU?koGb_|F9in)W?oSe%;_V8*a@P?heDRDjFB;mvY8vI3l@eLb
zAB{>^eIY`Wto|G<SHso?S%nbkGGfHOVB@izuY_U6Y~&72H56a7sOzP?C)ibH3#!&M
z5YIpD-Ff_$Dh!t$kasnzB+`lzVJO-}2o6Vaq_U}E)1sJ&V`vrODB3RmM!1DAnVzJ7
z3{XMs;V0zLiE3gZz4?v!+HXX`?8R4geafi1?-tjTTtn<AYe;=q(oQ7U-l%=xp^O(R
z>c|PZI>LRrYQmcJgV<kj_OEK25}cAHv}@bG5LF-RIU3$|62UwJ7Hi#=P#07kUzbo%
z+<z(0cQmk@h#Znw{jWn2dSb$ZPa_(MONx?T&pY)Jg4aXS={}0^?vnj^@?kUaUW~J4
z%Ht>D7AhrDHKu?H`|$6BldS}kseHom=>Ty)^iSf)Fa_v`7G2dp-%ju;pJ>U|A0oV;
z1=-Ss6|l%%NygHD5O4MU3q{#Ri5{oqJ6Y@G(WMfm^7?h>lAikvet|JUW%^9V%ad}T
zUM{J86Vy$Bf8TMPig99E=DDud3t9M>?5bS5qnG%3Yv&r~^GU+f_Df9ds0=C>vw~v(
z`$=$hd<;JNd77w7ZhJ^!$Uv19@o@LY0V3*JZ$mR}mWb`@U+Wtt4NFCX3slb~eW^X3
zv!!#yiaxF#TwkOhu!Bpu)qIpF<o@<SJ#B%g$}+E6qa_8iw!!PG4abPT-&!Q>M%YNL
z-DS#I*CdhCQvKxo<Tz0^Q5V3U&rUx1BGCPLmI@i$S=V!YlSJ6vlncYzoaCNEMfpel
zs5nKPy_hX9L)h!oYWZ|>lQOaQHzo~JQ2os05Kqu7L5bL^6Xm>;JQAl6e>Io_v-T@j
zO{M-3ou0cc@N)8z`>&>5uM?uc-#mdQmUoemRx+Q`;SeMfQxZ<@c_jgrH_Lv+)0UAt
z;`g;oY6_F%>E2>l0TQ5DX;>|rVJBryB<JsE7bT0uu5Bn_Nx-!IcXs<9PV&{0V$B<T
z;-t33jVDYs2}E5k96e*OoNV18_}g&<g{(W6P*$WNfqRB=FEXF5Bs=!&9>}YfB)bc4
ziT64!_0yA;?Xg~b<actz&c&-T<Ur#H<4Upw%%a&c>-Gzh%B}N<H^<16<CW$79EucN
z*BFwgc?y%f*-bhhf)q(D4u6N;-zgY+%FiBWEJ}vvIeZPXS0>+{-7i$uO-0GbALlPt
z;$*=b&8-)z<RSgW9Z4)Hbe^={;S@q4i{1&=<$Ke}A|fq(o?QkyV`7$Oza+^T9p?DK
zd<~N0fY-xfYdH)h$R%mT$dKlp#?LdgwMZ4^&Hn2zDd2isxqp4IJbC}P?!WX39kN15
z?A}=iCETds)n_>>k`YsH1=QZ^kwI+!QET?AU`B6hi2S2O%70kilPYgOdha&W9RH^V
z-b$yD_k;>b9+i@Q6lO>sHS;a;5Yj{+n|;CIL^bkX_4KLZUl`=5hBIe;wl@CeaIScI
zMV(Y{v-xbf(un-vsg~+Jria}LzPrDLYm(Qte>NHtHYVSsd@}m(VhAm&-`0quTI81`
z*mO1-lR4evTt3T;u-oG4TOAi2GC+M~r@Flf8CLVEmG74cq^2GOuU)A}PF7oUT(vVH
zA2mxoy}q#2@63$B>}owS%~|GwPnj{vZOpZuTa5)FKi-nZ2lUDGKJC4|g+}Bzne!GN
z3f9OJH&`3cqEBMOZDnp1CV4<K@z|zV8*F6E|I8OMAk)YD$b0;Tq)gAE?9C2a6s~m;
zkK{2RV_veh2S(|UyRKw!7#p#}$_*Fe^~>~0u`L-1+au{@?5XsJ&kF2uvE_S7mX$tf
z<SP9y__->1b~+@Ei?Iq!Wux@O(|V-)h3N8<QhCxOM?<vUYZcNIwSFI_=#oi4qR$DJ
zh>=cD_>R>%uR`<&-aj=RT4YkhsmY=!E;4AYkKo`~h1-#L`@;`ul6sZdg0#{f#Jw{i
znJ*&k(cQtvX#7ee_ZAw@hrXO-nS{-ffunY~x_VITo~A0vW?QY3FV2m|7ZN;=Z0#Uj
z_d$33tP&a65mS2END#~Ybe*qUw?*W8OXYP<@}%RU8>53u6rao(^8Z?GAUpJUo6rv_
zQcGQGb$PHj9ENu%`q6E$YV%(a3q1)^mbEGKnGyy2>RS0+&Rb)-_RYnGI$=`kUxtl_
zE)|g)Ijk!`fvQgL?ar~hByZ%Kh}UIQ+@Rj$dG7)o$p}(&Fy<uZekd%mb4p?&<Y`)e
zA`8B~x^l_<bA*<|Z~1S_CE?oIV@6H2f^y<pcJ1+D;_bPv=-OT?RurA7iXbfEEZp+S
zDWI14yKk<!C5sCBO#Fi1panJ^T4l<AzL7O~xV%gJ2o<;IBxLw$7GPu_?$3BJ#Cqa9
zr5|ocg$hsD-r^(X_?IwM)IghN#Xh31y3Iy~U*|Jkz6vu4Ne_)h(dJp}@^=<Dv{9g=
zkepkjZiY#T%68AfW$>VG$~LN|;8>*HP<f0gmStK!u(-jA@%E@Y;dK-QX=^yS@|Z$d
zK$VoGEys&|=c>373aC`Sxtd55c%Ks5GjU-hm?QfGb5y8^SGeP!D`<kZ0WN~I1-uvv
zO|1+&O2zQ%xUd&V#*lBAx;9YGkA=L5YS-^nunrl$y~8v{`FfkJNv{M^@Y8a~x;>H*
zTBZ@Pq236|VPZDKM<G1_vr5r`O$y7ByE0o(7{TX5%l>D%!syACxj__2!HF-wZL5Y6
zMy$G3<l;qOpk?{~e55qQ!$%K}cQ7Ft67cooX;E}m$#YKz$bh@rtza~Xi5X#^Vah%+
z9Q`ck;}Il_neRK^JoIM5=5+iKNhfiv3_Zj>c|{H-jf36(#!PIa?siDBl0ccMsp5;*
z@^F~st*a7dV!6C-ur`x|ixeSk{iQyBbEkoaIn4kKC;u*IP?7W^)wE1g5s$Muwp#Qu
zFr`^TQMZspg3r2sjU^5^G<x}3a0dfF{;Xcd+8~9ErS1|A2};=YCirvY(*0romB}v-
zNaIr9)=OnOm2p<NC`0fM1B3crcVchIpfTJufJ;>c%x6z`W>J`sQr}*iQYwotfwIPO
zqbhKu#D_1~F;TUO`>N@@9F|FqtgbFpMV-awW0%h`5z7BxrK*Ag<R0_9^FOPG4E9Ox
zvMMG>vd&MpTmfr`ICxg9qQRDvad}qR2yK7T0?0#(7}~b&7Gs$@+QM57ths80r`KNI
zx-YJTi}qP&=1crn#AO;4!(j|A`P|H{Z<WBZOS&NLqyeEQFP<ZpjN!18Gg^J0GOQTY
zq7f|`m^LYtrO29~Ov2t%c7+O(bo*tE*J)yAC}ZEQ;w8T|3sX5#RS-@wb?8dgM5F&e
z$5UTZtTAfJJ8r6qqpzdn!oO<bok@(@PZ=}3a(HoJx>OY}hZoPC@6yDG@Oy=8O=jp+
zZ+|#orG^dj#VvwWnjo5m=F?)$5x8g{M5L?1UxATe7^#V0T2mH3He2BM2jfE=oHWSk
zy&6)K(M0)uQ=dcuODNDLCW2SfaAWnb;kF13TsfHTp;T&#SAVaS82v{BztkH3oJw`9
z@N1#wAFx8l+8gi5D>N)PxGDMf(NKMeujex-3$JZtBjqA#n4YaXF5ROBovG?#%P1DQ
zJ*N8x570o3ue`9mLKWBk`BkN}0c;xlFZVELcvY&o@9}LFxaHj5c|jMr;uE{fy;lwD
zGEbM!xhf;!aQT~an}CNp8`#!_slm$VwbRL^`TV#VwQT!-;6ko#oie8ynoNhHDPI*3
z>+`pqdK4(FKmE$>KUGw1Dd;+(ClA`Uo^F*OK=qgAvFFVy_)qHbgieDDH2%q?Y5D+>
z!f~VOIx3(XkUvExN}=A}Ls(!VaIXBee`km?e&720G3Evp_KqV1E&4zslXRP1@<V~H
z_2i#C2{Z<4>16W&HHUT!1hXlj=-9VKGXZfF@!wf@sE~z{(g)lo){5xY5q!~>APQyq
zi#^JlSa|flw6gJ>0!n;>CK`8%z-T^ic~++tx+i+lHpj~2hlO5LuZu7?($p4KEWLkj
zPs#Zsx^f^xZKUf@3!!oSzjU@?OKetXW(2gzAS7j1N>rvGE(zy2(GOXo$f(C$<+e0J
zhc*sR=L+D^F-Gq|zXi$zGM|<BNP)9mSZ*1=08-Vsc@BD6!1AdJW5!7m?`{VRmu2yz
zreSMhc858(du4o{cA}zMlxOvwTl_d{N?jGb!yE?ksEhEWVC}MsS=&5*h<}=Oe%EXU
zD+Bgmk$4G+e>>T(CLn+-Dl1NQZ8L-N=6c!JJ>qDZU+->rR{+@sY+grNOmSSjI)2Y;
zaV)GG>)5zS5YxSP!`pY7f_19S`(2qB%mV~mzex!}zwpJmtGy<W$aJ+2audVr!>uga
z`$G65Z?4gJ!~{>`t=%WM#1I_%DbL(Q7+dS#U*}^p!SLOd%vT>ov9NWE&#z8l*kAMH
zKYhy><i@k}hL1#%*+`iyxF>?3W9J_qryD~!;JRLOj41RJz7{(8isEj8nt?;55s2YS
zHu6jJv(cO>@v{@dt!fzy%L7I*bdv3h$`{3(j(xqF`r_EbllL-9*a)8&HxB0Yi9%-E
zev`X85=b|Y514+-#JIL#xG{Z6XS<gDkOc*2%?slG3uJ;*;@#eob7Ejy7=6Fnor?2^
zJUZ@bF)>jz&n5I*4CPk$-x)_q!dLoxR{byo1&`^k2mQryGh=_<{TeCU7LQSRoX<d<
zdee7R4hh^OwmTOn%V6Lx*%5b<fk&^`u8e&u0he+v5C2QD_}5u=&2~2f`=4J?71~R|
z+kdhy7un?TvMpX^jU59;3xlV9mv}<%^@O9jodS~1{=DO=&%l8E`G<Q1B(Yg)+Cy7N
z5gaa$xV1DG2uZrkpS387WIws%0o{tI{rgPtq80;vN7EC(u}kA}p-!Jn@e&`4%xN(!
z7?=}xF5N_tL32@;{!D^0=wo_c*xVTSbSdYQy@f0c4n^$rJFSA0{6&FR=NRCKIl3w3
zh#Y9n2h*?YQN>wG`Z4KZ25w%6JjVM{9{nq{69(+naPoi#e=8Rg8&=NRcbri`-(`c1
z8LBj-eO6Jwu#1W7lZ$SvwH0wLvGzge!csmNHBir0EcIzg{(8T5MQE2uhF_~zhfvYJ
zfkhaBbK`A~H`kTW)Epa?d_@CijJ(gbRT<%Z+Hx^h8)e9yHH;Q9UdmxlxA}Ws#*p}w
zEuk=>3`TIp4eq6UPUa4<+s1E#3fYXntYj5@*8Z3p#-bxYM&VM*I}?yo72~_?RiUd9
zmll7M4o=EkNc06$aEqSXxxG_$$xnN~e|$?v_~9;(L}xP?IYzRl9Z`dt!Gl&+k`7i|
zzw;YKb66VsW?21J!_}g3{ztdyDE0H+v1`g4?t%*EHFnZ)^|)bopfMdOck%6Vg$3^S
z%{1K0rNKT$vO)WqCZsc7h_T05!oq8kU1pL7$CB9?-rpMd*85-O{;gJUk~MO>E2)m%
zJM6{BR%l?Y+Tr0dJS;@c?9`4?R>#g~-k#onX|RF8_N^H#sMZgM=nJc3oduuo!74Qv
zg<B<A$pF4=^k~N}8r%<^ozgj@ivF-d4%w~1+bxwVPT!%SY*j%|rm_me!UAvAoduQ_
zB|)kI4OzDT3D_<9=VtCfsg?)80p>CjYOWe|{aM0hE{d2B$YLnH1lG%D%L*x|!CKaL
zbAF#ZR<64c%~b$ISEvtgho~aP_ky~qr7W6Fb|xBU0X?O^{kE2>Ktr6budq-G;e+m3
zd3OPUrd4GTi^_OEbBhtWj|%I+?2hLru*9qV3z`gNbozXDF>#PU->>G$;H93Dug=_6
zvR4U_ZYEmld&N*I`-6SI5>Q=w=yco-Mf3$cdA+Vk1ob8Rwq!N2kj^I)@|sk@(B7j?
z`A)*%+Pq&}$diT8pANBae#)b9D0y^PP6$DNb5$LGSYa>KaqHXda@bLNH6+ea00rl2
zN`tpsL07;jJn;Kc{*OzS<(BcGR%f64{#r|TdIVk*|4$k`DjL*PNxbmV`74`kYl${)
z#l!k4QfPd(dFN;?4@?7BH{8p!0C7sM?b$CXh6W;Bowx8{^uXd@$0ct69{-J}xrzeM
zs^5{@6?jmdq|y51t~nGAo?p0BE`j!^{ruOoc~GCXRp<!6Ilip8c~<kAIBYhhPAeYc
z0V|f$#yV#PUuW~2DqeB;9rH_<9^=7}oZPOvbEeqS8SP`VO$@v)dJC@ic(G}1ht;qD
zOi|LbPM@n-6eqo=4Wk43AQ)v`d3DMJZ=QzwKD7`<we#$g)kpY|!oDl6?zjooe_4AV
zv_S+d5*Eik-xNSt<M(#91!F9KX5IcdLIjsuD@&A`1tF29Cb28h7$IZB)P5%sL~LOf
zJC-bjkS*>NniONGOB}AE=!w9b%aK!iuP`{y=G8w*U)q-yJpbgYiQqCveW8f42#kd<
zo|myTf}d#TWo<(d<g|YH%a9hu?O*#GKmS<D`8BkYQ(Hu^e=bw+v!ECf&h-ZIoo8Zj
zi}J^NS4423U%A9gTpa!qQSn;ZOswIs@_gSYg8L7$%tz@G*mx~UBdU#om+aI=4I@!7
zYtps-wotHG6`ObaCIeM5qT6mh6~$|pHc!jzRMb)k=VB)YIKPjcY10$K37<z+t!<J^
z|Mz`GxEKRsj?!BuK8oSt(;GaQmeNoh2_OSI4YA#PRHgcaIJ#UoQ~u`2z-@os6YT;+
zEI%w8w%bwyDYmrZ^`>&z<;w2qaoZ3%eb0I`L@8jCH1OqakVnpmqTsSHLzG>==#o57
z!87_T?eG!>Y|n`rQa@@4+W87U>Kqk%y-}H74-_GtYsKfYblyB@t=Yyah2fQ}==(1z
z!9PCIZ(q0}T<!NSzo;t>3@CUW4_1aRSHdmPdxjwPGM}B<CxdTxF)b2@RUjj~^Osk-
zAw)*F7KSopVbc)n;;~N^0r^GW*DM&~{^hx;1WtM6&U+U9+NFl$Bj$G>J22opan<k?
zQvq&*cUvmA((r_SO4;Ed1Gg~AoEuR9VOM<gzcuP;n4BhR1(;}(Q&b4gR0Ly_Wo(Oq
z2AJ7f0-r}QA+lh;GuU4V&(_Si+Y4xd^XIvFZh0dpwv-3W8Ysg_PN(}~qbA0^_Oab6
zHNvrmRhufNl(D*^>pEuy9XA}hx5Xbf#-`o&8cumCkdl$$ZI{pjtx5fKy@d&yH64Fv
z_^IN1Z`+v0IW4?up3!#|GR3{(caQSq)SzH+fX}vE3+L_{Xk8yQ#pY)}s4Gg<;JKkX
zPpnxB{=RMf221<Gvy+UsDlRlwK61$jEzm;0T<u<$cjm}DyusvZJq<$9lwX;iT8KSg
z^6z-I1^ynic-3v8j-LjZ!>7K`q2e!jB<J=LXD0Ys$zD;%TPd;R41PM?*<0AUf~=7K
zUorQCH|p53P`X|~ToeBT0096043~F2)o&cd?Ui}$y}7n~?fE?yiIfV76e4Lz%4i5t
zAyih2Leh?qQlU#jR*5o-B1-Yg-urj|eg1gH>p7qEKBqFCw_$=tz`ek*Dy*4|ypgF>
zvBP9=P9+OVFA*?RGiurKnv9y&fkSmS)L|WXD1x*JXp6rcI+aNV%iutefvy@-a-!SZ
z(gDK1HsQrOGREbyeKqf?z)$;3Wo|8SRb6nEr&}HIYl+}IQDuB>w>;_iA5hg=b3xKg
z9d=!YzfYY~MCtd<Ta1`!IO=gktEp5C+>sTO^}pnCs#j=R13L}Pk&z2oi>k00VpgvC
zErULO=eVCsfWm()#BQo8w48pv_Y{^w)~1R*g#*Aj(k(H<O9gy3_LUPy#le5KYBuLB
zpe>_vYtsp3^zvK}wvZOZmzzCq>#qVKZyx33W+*}4HRiuIW??Ai(UhG10qF}Y$Ce)`
z!Wl14-_a3*r-7^-p$_cY0>%C}3aI$5*BNUm0JSqysgy<no_SSe^{?fz;&e8>HlG)y
zNd><>1c4`SJj6Ef%0cbNZl7QAJTUx}+IynV8f)r?<0|&b;Nr7?(w#kAP-e=SIx23B
zC$qW8?2>|%Pts)eEly<Yjwlh1u>$$V*}>#MNo4hmcYJuyfl2Fs&&z*X;&JpZ?@Rm=
z7@m`OO0nU<3mhLgx4{xYAN1BQw1{DJ?RbI^HwUK2hIAszEZ}$}Z)0ewC;|#>LSlqD
z@b3Kr$yCk)%dwn6C>B9$`doRmCkGVOE>LzSnM3D*YZ@AbapH>5e-d9fAmt$D7cy^#
z_FI&boUFo#=V5;BAH|6)>-6Sd9xwyZ_Bw6corLA1-E1c}bK&L5uHUIYO~HKk?@psy
zA;fPq?>y$njn>$~I;xi`zO-@_O>7c^ork>M_5dEF^@*!~?KD9XW!8n56vU^ggovq|
zYp~;){)h7ICfI8o@sRRZ5Jd-umcK3Y;_l@&&zOE1V~{yfWiU<<rmP#))*s_Xza-!0
zfdj@UjZy2*JSYhMtd*5SE<t1sS0>z8G{P0#^Nq)X1+kiSs2RTm@wvz&(I?diKO1Mn
z$ImeK*DEZ&-z)^Cya@LLnnob~zV|S!SP;Z}-|-ENB!oGsxp6ia;;P&+hs$GvID5b=
zzr8~ktipK}afb{c)FSzgZLJXM=Yn_h&WNC@H%!t*+7PQ1%-fR+g`l=QtLu%L7|zR(
z8_#_(KrAgvXpJTb@7GJ_ckUO*5B~YM;dld_8VvG|dr894h!z*cHxf8bNPXyEXMonU
zjL)my!su@2cJ$YmLOQSS`4vF}OvT9l%NG}c!lTyvc2A_?aKv=a&ps-?HZC?@`XvIn
z4v}@18)VV`U2nqX6%{#QE<ZSGMKQL!=wI}r9F89*6%XH{!Yz?QRIySFUu>2-!h97_
z%bpieoypiI!jjJNUK|_F<ws0yR0Mf#iAhl!6$8_I3rYthaIZrAXW?2U%y(5ZR%TOC
zd~(%ESXv5fUCA6T?UnI2dw(!X85J@`4fbFBrJ>oe|6ctj6|5D1bmnFk6@?~}`*u~!
zpxy4`Lz0gwdW31luZ0cJrXbDoNly;hL!sPON7NAb?1|U8od!6%YP-InSRRS@#LsVz
zSI0~HKpWnd2H131rKU1Z0ghU8T(_@~vFq)Quh2Ba-a^y5@<WOkD0#QG<E94Uwda_J
ziVSgH)bf6vtrBSN(b4a6HDPI1&vnYd2zjp??lVg(BPuQO)#YR@wAY5e6rD8!zd>U%
z-=s2<A3d%7<gJZ%GNEGe(iq$O<6E`rRiI<nSQtanfr4*$Yfq{P!&l46)GSqOI~G`b
zBv%JF?JrrI95;p6ZprXWKQ)wUEMK{>q63~X)uH?lGdut|K*zt#Yh(+TQ^&U|nOOr3
zT}+Ofd))~&$Ci)fbyfB1(C3e=eI}`kx75$H!6*wH%^4lC@g<|tt(x53sDsCw`*WO<
zECFTprQz>nXg1#Kb+yvLcin$m_%p09=enzE)LH}lPvysDgS8PDdrUzv-5ToJb(oIP
zK=@nMt|nhCc!d*?i6t;RWXifDM+4F>uZAy6X(Hz_M3r=a>~h-$pQ{>BPI*Gpy+y|R
zAdBy^DL`C~NtX3N4RjM+8QyH_$n(E+&b<pLH(9*DURDEJIe8|IIjSOYriR-}k_NrK
zB!`jvWN^1k8{ddl#(eYj$K!T1nEc90%@QRewbkzE%wt6e{p~y8;7!Bhx8kvP{MC{6
z<Qa{nRUYSU{THeNXpny{cSGT-8oDeU?7s)f;H!JBm+uZ5LJuk^UM*Ke#>F;?eN;(2
zOEF0-vZcW?u|lxFRt2x03l(Kqi-9LJX*N`rh68b#ssjzmC|`PR?0QKU-)2053K;y_
zan_{LuTBZGRJpE93n4si9Za(*2IxahS3bN^L~i=pguem&phPXul@0=bERRp>)hJ-d
zNX_4SiU+cF`opp+K)TMGEozDK@Zx6oFOcR!WLs2pOd)~m`~O+~%aO%#o1)<I7Iyp&
zTB?4}OCYv4YsckAY1m8eI-AGC2A{A?_jl~I#?IfY$@4-|Q1_HB3VFc-mprBqGOro`
zOD-K94wHZurLT#ng&7tvdY&doTVZoG`NiHDF|ZtGnyRp42HmCRUPHJgzH2!rT)QF)
zdaF|V9WG|Xe?2PpvBd&b?;cROJw;Hh@JWW7#0;s+I+twpE%1$lPv^P0Fyw;|iu!G1
zMrH5khmX?CvC(eG(!!Di&EDkx*iX#3zI{ye(2N;kZt&N(?GS>wpKVq`1Pe6&*6;c3
zZ3atyZJo4iK@_LdWq!70MLm0}tWcvVNK;NO`6B|5xH;uAVZa8Cd!OB0Elj}?(8Jg8
zogW@%IdZ3M+3{hGqixk=6Qs@V;nQZ}N8h%)y)q#j_$ZfHdys5`hW-}mJ)V4sR_^#h
zea;D{@HaYfw~ZlY?lENWlNZmT4w)`UaU-hvMVN%TF&fg?k4IhMMXy54^(|L<u+H5~
zVoRYB93uyQ>^i}VAKMDGAL#SKvG>%S&89{mpC4PWPUJ<AsKDIBFFusMvQ?+m86t=t
zkob(wi+5iF#NwX`-~r)z*mb8NUVfo6mB{mfpVhG_`LiI{_R?aiXBqw<_vwcBT|P9;
z6-v5v3*o_BN^`>%1IYfeYcO`_hqBFSw$d3A@?46)(X9;N=Xp$eMoR!%tDHXF$|9)W
zakXH6kc#+cg{L-(2qIoYLrWk)6hHSE9_+nNMN#ULbp1Pmh$bXbQ!2#pXsI&hpF0(K
zqJ2-lI|(85Roc^3vIIo>LuBqrQ1Lf!(Buv~2`T-v18WN<VUQ3QTGB_sAZ0dp<TD93
ztW1wQTQ7}vu2XrHPbmm$mSxo_7lx@<^TP^eSty+By?7~|0&04o^vA~{xL>{d#9*r&
zPB;hNRXjmK8&hh(+bdDbxcdy4`zYY3_-@u+2Pxq6YYidyiy<K>rHs!{5yK;=Sr0MR
zn^ePJWy?w6VBK;{<Y6V;SwGzz8%bg4uS&KnL=wl#pZb@iD5J#b>7Kt=De&2QkhSY8
zgNtEa4|bI@@?iGYI~?yRxW0UN+167Atq)m4ih5PioY(TynUji#I}TQQjmUyGLzj<V
zR2{Lq#o0}~sMtDl)#bk{@<?{>_n~YcBeZGOK>IBf!=1G$LJt%$r?<cEzgP`a8A_3&
zZ4F>^wd107sv=@OIZG>)XhP$Wh5ov42Jrsn`@Z?45|-Tk_dffqg*{AL-#DK$#2o9B
z%XtTtVO<=#J-1IAj=ABK-<uh_67)OF?W=;2ZTBt@wdug-LhkWOePh^vD46QptO|jw
zCs(HnbkV<Zt^Sp|39^mrV_YrO;O*-1qTF5&^|zk<8!#}1c|gfE3kF9pz&xc>s)rXB
zNjK$P%)n-n<@|eG9UoR(1AhO|L+v<;RX^GsjtNTY?xkd0`Me<@=baut?g%ZfD7C<r
z7FL%d+clun>oc|Js|SJ09^ZBhTB0e|NW}QJ2GUk{n&}kj;`q<X8(mV?C@79Cn%k&}
zsT+}6Ckk~iT~g6@nvsW#rnU?|N!5g#Q-652pEd#nS_c?7gC|A2*71QR(2%57|3woP
z+tX;@Zvx~4slTePYT}Cf`rt5r4ZJVjk=V#XgJ^+~XNZ?3;?s}pFO*To5eP(y_|kC4
zrCUREQUfO(BKYk1RpDMyEg+OfgJxL{@o|?1`dhEL(I=G9TQ*<L*+9dI!JYjp56Iwh
ze)V(1R|RZRy+G3ZL4%a~BNge->KNnD61bcz3+abGyQ03+a6Mm1Z+DLxG=_KD3cZzt
z9{;xIrS&w}n>L7CZ&O9VEc4w<R53(;vdNe(py9QkZQb(<6(ngXIhf9ou%YVYLiu4D
zY%#@i<BBq#vu%CzQbrIs5Vk*#O2cq&!Ith|C9Iwd(Nwix1C1q0PvamE@ncU?ioGIA
zO8YeYML2P5Cw*=AHQ;yO??-CN3iuh$o!gnsiX3}``!DQ(y$ye#4++XauHuB%>t-gf
zNzU<DcQX2jhIx|wq%^?fX{JM4CMM6gKb}@1Ao0j4p>kXj9>!DkoeT3s&yR}mfdkga
zY^jXeASi+6>LhcW2eU+I`P}@sGApEVL`55I5rgM}%O6H{W(eu1*e=~wOPKYAZ|Qj|
z0?Cur3gp0P!t0$Twa>{CkuSe~=&}|@P_ECxHnVAhr29_vQMLshj)Z6M{}TfHn>6u_
z=ckDR7bU$lqvnv3u-eyJDF|1o@F<TBGek|ZeW$CvIq13(p2ofcV2+m-Qw^9UqAfF?
zR@^khxwz8P>gV{-*_e1ltbUHrYD^mQV>ZL-Q>OP0jjzFrvKGtupanu|*Oa$cfGNn8
z9m}nkcn~Fc-7M06iKvx*GgA1$1i`_Q)*PYSSSxks<<8A3#2fm9$KK{9kmnC{Z9L0`
z@N$;%b{i(xy%TCW^w1a{33q>SHgaO|RVI24Gvm0g?(=>HV_0*JU2Z2h(XkXGQBlT%
zxYNq5ud<A=*4wKi<0l6ibFY;quVI5qOH@9Wq!EmDJ;w$LInc|g{E71@JN&6`eNEX6
zj-={J)#Y=*I3uol&m0GyT>IrOqihJlCz}<{yy8GQyI`_&8W$vLTPOJ*8-Q-_DEDfW
z1M8bbI^WvzKskfoj!qar!DWPgD1Z}RovoCVNW55ay*|9Pjf(B34{ZNC!U^rF=?5IE
zeCV>M%3uniV!TOCt}&YneJRH_-Qy61qQ<KJoB$QGei<peLEKO~s}#VkAcR_Jn@h0_
z|L;k!avb&H0gHCgrL`MLaFB_X8ug`sE8&h4)3G&}pX1!jn<@-aQAK7xiGt<K#BHRf
zjC;7;4-_8~0pHp27=cE8+zSZ5V=BRqhQHVDEAJG8-R7ACRZ04AZ;TGF&KJOmVVT%J
zL*l5IUCLkYqK`9`wU<R6GUjLFMh?zPlE}2W&U{EoALrX{Zs*Gq!bXwHFW7cULvpi7
z&+@DuI=?<G(at3yt5#K9*N)MHy!~Ew)Ahin84~VQA&m5M(h{eg<gvUi(D-hS9*T;$
zRK<*n;H<;RFO4r0(Eh9B+ULu9*f+#3aoAD}4xAVGO@1iCz~`o^>O(zLoWC?Sm@kft
zY+AhqBxRVIFC8po_^ZTegX`hSk`OxM7G~+Lg5Hc%A-kpYaj}<_y8V?D7QU`ENWQBI
znSzO`WDk8<yE1J#6)J;#iwCE6G4k^q`Fql{hx$0O=|{(A8#zP|goHoZM@GWqY|Cy@
z3e5T?o;Qdnz)tk!LFdmJV0C>aIm+Om=hvt2?g}fS?Z$(Uc?&JHZTRZ&+L#JjP0Y4+
zGD=vnSvMzeLmS0;Pd5A+qvFWDk$3sp%HWM5i1ZO1B)0eY#nl-AL&skT+NfYSe%p+^
zx*iO6X-J8^GQ=11X?H_URm46tc(q1OADs1Sf7i7bVY~9D#)*S!@H>&sK9Z`B4HbXl
zZ!(!6JZItEkw|rLoP8UnI-rlC={uXZI-24dZ|X&jlVqrn#m7s;8G6dg+{%B~4BLu#
z`OojufQOcVwU7b@EL)8S+l4KV!WMPd-&zxKhckw%7W7d%lFp-;XbG+KaPr3qP3&9O
z*I8Dek9FUw_AV?~!DaQ~>F=kspntn++n9_#<hhF}hy4h=+p6-iqfZOr!Cpg&^|~0@
z=k`!|I}pe&wvkUn8>AzCu0l*YNLh5YXPac?_DIZ`3Tfk8n9yCOAx-SqFf5vIl!gsA
z!fB12TIi7`4=*tK=Cpv>{6aqsY6d=k#11gdZQ`v@mQ_PUt1#1FBO9FQuQ1uxpo#F3
ze3_h!$_PANBdQ)`gY`8&<rfw-P^9)V<133IoUS^p{ED|h8;78)4YLOB{CWJ=Rzwzo
zD)CZr2{xchvl~kNR>x3=QbOx~32atCqI-x97LQEYh83zI#N}f5A4L)D@pvr0$Ib>~
zvCkH!cBx{W-)O(;dO?I8j*S-Nw1JVBLzp6u3OKzL>y^H8!zuetXk7&j@q0GB;we;u
zd%vyzm>3(bnkbKVGJ4ix-R2_xEs97I`<L5#VTBkdcOSLjqJg(L)z^Dg9%d(}M_r%K
z5OtK?GjX?p^L14(mi%OKIJ^C3OWYVix=dbZBmm>BVv8pKq(C(ZH1mr6Lv%k04Nff~
z;Nj(3f9k3P_TOT2)H%~jy!i*O)BV=im=HIbcR&oga*CNseL9HN9V>KqacdmrUJ4xv
zWaMD3LLSa-Ekv|fdYP}Y70!PvC^&tA(MQaCokp%U5mAz)<g@22@m%}S`J+98@NQpO
zGT+rmTwlF0?NV=nVzz02^)h~JHoezA&;OBldDKi?oZkXT1^)^2EUW>Gj>shCZws;R
z_HpycZRRjP7!k^Uo*R1)uZDIlwh^Q2&Grx7F=Ob1W+A+f6Nl<Jck?fOBUFP8ga0j<
z!tLJm`0MA`5z`UHdd{Pl5K<!5e|I&-ai=<ejv-b!hk2%O9_uG8@0z;bC^5kc-7Rv3
zXIbz(Ok(g((*WUb5hl(hVuC=m4+*>;%vd{dZo<)Nh{$PHE?hiej8*YJ$sIeGfMbIH
zwf!3=9_@|q-Zo%_uAZiwB!yMNY&bovwtbAaA3A+_b*m91y2qsZx|RvE?*0Ozc7k|1
z-1VZf-VjpPV(dZ(mI#BLW)IK3n<6sFH!42R46!5lZ(*0&5^?L8Ve{tp8AASt$JVAQ
z15A3jX-|DxB!U;`NTkI%;&P&ib1kE%$frcbdfZ(k>gRq@7mXK*%W4L}B{fu>DLLS`
z`^6&htyzw<_53n%vGM-x1V<|L1K8-gY)iz%%xmRwW+sqLSDe<hQP9kPp8d?(CF0e0
z51%<_X6VUPotWHBK}|B(RFB0naU;k6^tECZD1PWVmpP}8V5@a|0@YRs;{?vg+Zt@B
z(h4atW%v+jTUSV*-729RT69dQiXB|KNo`YF`ndjzKc>rx38WlTjSaz^Xq+BpX}qF`
zC%^gGCj^+WWk~g6Cb%IRXH4<!)kWLF&zk5_X5=O=iQhI^18c9*1TLyBxa`YzW&X#4
zsgQyQpKW|tc<AeBab5>E^WC1Ourqj{=~VIkmH?7Ww%kvi&<2sXZv!X6j#56eGtUKu
z;NqSdUC7AARu$DB{#@h0qj9p(ru`&L6eqtp@k0xnx+!LE5?n9~*9%+oQy4M-6w2oJ
zXu;0zi$`fCH=gzAzTb9K6cq(LLA#eV(YD#xq~P2dlxdC%-qjO_=^ODU`nNQZ=g_*s
z62}L-6Rr;XcqQ@Yh{jgQ?V6Yo*URp>CxFq!ozV*d((v$0P$a8pqJy2Je2+;89<evS
zC0oiOk9_7{HLE7tGp{dstRq2tyJ-horaX!t{&ju0sDZhSjZk_ZjD}ISh~YJg5a+*O
zt02JeJ6FA~Y)w%}Jr(Z=-mL`5dpB5GXqqs7z`>0MF|2&l%s=s28J(}w%SW$h!r!^m
z%PmO)P4XOtdp%Sk|KxTzMNA9adK>{w2c&TJYGu-!aWynZPqj7HXrc2t7qjXi8Bm<t
z{_x)*;}rjz{#|+6@OjC#%Oq0{LY|5e@$Q=F-XF#?RIUT|lV10k4=TVY{;Oe|gf`yP
zZcRGQuLqe;JEBZ;6=8nfFsP+l2X1fgdo8)?qkA&GkiAC<NxoSW(`$MNRy*d>wT^;I
zhIhAhX{f-??~gBT>SN&>U;V#bRM;Ey%p06k#mnN2Zvz7;NE*85wza?j*UklX9%)g-
zZ<BNf0U;^`<d*b*@-ya9h+OtjnG73Go6&9ARNQPBy`PqA47)8UWgCMuus_9He`JA*
z=xe2$bzMy1`+Pj`TfQb#8V)nxRx^N*UfF|x^5$qh{Y3isD=jQ&_dTPD89?>U^~JTT
z7Vx;Glb!!m8&gxQyY|1KBKR(!p2#mNd`SA;_BL7vukPku%hIHxyJe>=Pc?yTE>Y)x
zL0yzkqE62^Q9x$z^m<<dxCtIT;<#HEHCdc{J~HNK4bx+<qZb)mU>RIB3)RIAEs+OX
zZ|i{dS5JN~%?2GY?dRgmbs=i%c>C%#O|&HO>{0n_gTI<9&Rs8bP&g<<+Tfy&7PP)|
zAZ$@o)oaBvrH$MGx0cCKWt3W-a!)y93+~f=ZpkBBxb>s$-0gG)*ytrE9J*zT$)1T5
z2N``^&Z_Ck$s#FC-ro6Nc#bWkcJr!x+iT!l^ZStt4@6)Sapyqsaa+Wv#vB!St`6@%
z18H(c`LVW!eo52Z7F#6N*`60tgTqa+Nr8WCC<uu>=>FRVx_v!r0XtQ&r<CGgmpD(P
zyV5FCPBD1x8?oN~wi2ZGhV(lA_lHpUn*Fj!kg={cez|8{0s5PUryj69CdAzR^8a0<
zVg89tJei?G^O|*pVc8G5V)5lmh4M7iWczT+1WH59hIhyLGymutHS%d`1;9$g+ozMe
zCE(QGI<z1>N$2X3j*4T{<R2q+i{K1VbSfq*xE`FLH&2On-3}mN9&yu(Wrl>Qw>o@R
zGUw>|Y5V1$oV3QDC6f>47X%T#HzY{3ex5Ehki?;oZ3Ue*qK4$>yqMGqF4D7Epf_+U
zBzV+Vg8z8lQb8pbE}jVZkD|9ge;qM+^T4PDRGaQE=Bctn<v7NQ%IE1Bs$2GIt6E@)
z5U@Kl%nT=L5KUugjxM`!EPcJ7IhsTcB|nv3A?l5iN`8vX(N}nM7X2A~3~!$a^j)1J
z=mGJvB{H*g`Mb&yg5##xYjmfv<mePJV952XTXu$iV(pQggEUiY)ji7Y7BNQbO%Ss0
zQk$k*Pc<=LxN3qj(t)D$-v)`(*Bl>l(5C1Injekco-#(o?cCqSIsHU{60OxFbdr82
zZT`*At;V?b)uAQSvYX&0$8Fj8dV;>S!cl6m!ib^IXJrLvTZspf8+mgm6ZB1QIcA@z
z8R6}cU((->H$+=S+C|Sd<Ma(u&&Jv=86xl9zOo79eB!FlvUBILae9WUuN{Tk5D6|v
zk3TRkrEe;>`10LloNiQPJ(hjS0H&$NEOkNe=w3Tre}CLEPFH@Z^lNO93QDwn@|g1{
zdaB0Qsqf+A^w(1sn*<`MQ2I1dA|BR8FRc3Lr%fNH*PQ>4@7pp3<2yvu*AU<6#&7m#
z{HHTPFE0-=F*!p)y0YWR$F)D`6Gu*OJH&Wb*3zYV0e%Y3yLoj^T>ME-<f*!A6E#UU
zu-y}~DVxDTqX*nWMg4S{z&Jf)pDFtCUx~n9j5!wXbt)07|4m=gs(ci*Z<?-XSN}6Q
zMi0gA^_4FN{?Ok@3GNNJF+<Phar<<)P!}CLGcVl~7@}8JE_<^t&(eSVro7kd)4}e>
zHJ1pdfAk~!S#old=IQrC-1@m>br2bIoc&YY2t7zQT7TJLk$xrFyF<%c8?)va{m+xf
z=+@J(r*~T{)A!YHdw2D=7Ty(A?^Ns>r#m?`Ub+>qO1E$Fb@7<g#2*m_0V|tHy3+iY
z@7x1S)k0S6%O}@qVud!eQ2lm_o~_~U`q_-7`dOfEjY_@-%G5f06ZXu|Nlz}s&lIy(
z$I1AMN3v?bis^$*j@BGqm1-iM>danUacbVD;s6<&S@V^gB^KyGQr1DDVw}|%Z|QtA
z=u*dLo6cjJlqLGvnWGCHYq+Z?K9&tRFnntus?<X&a)oZ7bcpo=bxrllF8BK541eDc
z)6!ZJ#Z;~8venxum9N^b%2+7CQw@go!x`VYn5#FXq<Pkg2v*N2BrJX$QbnZIx=wK~
z*6M+aVUIdvg{m8?IYaKnt72vs^S@^+Y}HJ01-%v|;p!9V8vDd`RiQWgqTQ~6qq-t;
zYIVL&r1}uIK*Om%6*zuqE5BI7Rh?#j?k#a&th($u<wM4875onX0RR6Cmv=bTZy3gH
zj=lHZhr>C?IrjKIW`t51No1Bt5s7FRiOh;98h)ACij3;Kl`<Mek!aXN%AU#3zt8nt
z*Lz>r`@Z*mf9yi~*ovmu(f3>IU-s6EqLRU%sxFa=&?0WO&|}Vp=mxzePA!U~(VmS(
zT~9^Ok>I>@^D_?`>--h+-bV^~hjwa-yDNg;wn2)WBOj`C|Hw{YmPLmm^JxL0icnKU
z&;0fqKYBEw$JrVthZ;j3&X9{0AtpQZ%)P6E$TWhml1s0EPXB0VQrc1k2U+t}Hg{pv
zl{x3iTCRvL+f%0+&nZEMd!7Ziizw2(3{wT6%E*4q<d2%NGDt_>taLjkj)EVmF0#6)
zA{8Ovyu_jcmv7NIbG1n#84<A*-verBQQYbF1qD?w8@1Yd8f4IgOq(lsUjm|Y&TzYO
z84sCDMEfK2vdH|2kZM}2CORT`-px^49hBMz^j)0gQA-G)K<a)HTD$IYC&f?$bOk*a
zx!)@wT7NnD_7O6gm1_!+zfXk3fz?^d{YuDlWsUWyrxtpd`|MI9l?>DXSF^*z%IGLz
z+(gorg4!JJ;I6;df`GiiTA?si#C%0yR$q{cI;Z#S_qk04?rqo|#h``~@)`<%RZ@{R
zeo>c@qXT<&{+51<RY%>OJ)y6;w9yAz3^@Sl!Smg1WAA?w&@1_1e7k}+%JK2iN@FvG
z-VImzJ~d6`@$c(s?>H5;FmX$~_cDeU_IwVS9ue){;Kdo)QIX}ZsI;g?46IX3V(l48
z2yYx|Yv)KoC(b(racludJgpb?vml{j5z2uCdMzX&xTt-B#SAizDI{~ak&wKg?*gv}
z2`yxwytVJQ8SIXEOm}!^Kd7$#OY{-}aV)^V`7(3Zj6a&kx=lotu3gcpeX3}PaUq+g
zYXL70O>B2c5YgbG{$A+}Mf8?(h-{K!0n(EKNg@*(DE{6)J;i-H_ah*|Ras{Nk4KNq
zpY<o8T7j8YoC%`nc7=EFY?%dcRI<-WSF54tp|`k&xcN}I=bE8mqy;!VrBg3_tBRT=
zpOx+FVnWA$-di+KvH;5k-OQiu%4h@$u8urfpb1^0f3*3;9M*CjG=v)!5z-A}`jU7D
zb5``*Qqwnw=uaMYV}<g_8dvb3pKcDDttvU2SY-y^5?aJma%EA-ophZ^y}#J1>!YGP
zSu=QhR<&KjTne?Fa(__vf&pB|?OqpWm_i`4k$e6{F~lYF!uq`m3%I?U8h^rI3cP<~
zy_c7S&;YB%R9*rbP@^S7dm{iW|M?gHE8#~xmW?%+_}Rhd$&38pDGWRq-kjNO%!7(A
zkoTl)u*2+%j_=yE37j@)OdK!AA?vZxpn_u@@K}x`>dv|`{JIxkN50F1JOLl-70m&=
z-rYN<CTI+7QIZYa9CT=P`8($C!~t2UZvXKc7{T`!zlwf-U8Qx`e_Lc==YT_(O4IWK
z3_*_3IfyQ5j&?2FEBRA7JKSOp_xx9204krp2fIBVrH%7V&!^k5!|69>ZNXFep!oW0
zv~G1LjpzVug-bXHh%BKPQ1xM{g}gpvQim~TkUxB_z`-7I-=@b`^dRygR4DH1$E+Uw
z6Cb&NgSq7HREH5==z1L)^`UGGTOML~SAPNr4_9U=ndZ8%=Xz6NxX&-_?uW!8;V2v&
z#fx2%DAR!{uB6ejx_M0d{otGSavTU3h|Fb)>cEHQt&`02OW4m6q2eh<c4&|NGtiQ(
z4Ik&mPOs0eVj|doPX%JxVfV9{`bZ{i@LJGfE`Gg%{mU<jxv$Cr_;T%gnXyzzCb#ZZ
zi`c^E4X-9XTjPL>4o#YjEL1q;rEYVOoeo;8^8ThRa>6cIh9+7X1#;%E7q{-G2h^F-
zU?I*8=U-i$?vkXy()R=_&D#v{2zPu$?IaKM(APHERBJ)sfzctxaYhJEfYCz{yg<$S
z^TEbO3mEuaI3snLA>PWjxn&<8*r^;*`!`93?_UK`Y!(YtnS7#|Snvb!C8yzkDP*`R
zx-dJ&zy_6cME?&C0$@WvXB4ALhMR5<lZJ6PaAWHJkr5#XG0jH5SEop@9mH+JB+dbB
zwu*o1p9+DNlzm=!J_*EF*_HD<IDs>}_{s%o5m2$kor&`z!HdF5Y0n&Pu>Es89e+<0
z><+zGdWI*#^MGHm#^$_m$?NCwc}yJK<{tYrFB75Wu9O3Z9UnA{cV(^6OG3xX((mWW
zh|u$Ad0pC{AKGN@=BrOgfe_j)R31(Q3u)&Uzj6d%#J?xqU{(gmKV@HBbtM9ef?i+O
z4?&2y8~v?@Lk^}>AAP*%OoXw*|0<YGgyDo{aK4(BJgD5PsB8%)!XYa;`s~Ld(7C)<
z@ceNFAoGVjR@gare^bhegM}Cr3_6(KuT})7Zr*^~Oe8?+Hj58u#etew6EwrD4E|y(
z_(Qu$&=}_ZsG?dDGW!zp=Z>m?n}5k*+dUGLf6fm4lp+nXvl}NIyHtT(o+CHSLk0<r
z`72={3pkPH#sXtC5aaIGYP>~;<)NR1la_Lz|Gh;^t5hBS`@T`kiD`j(h(zf71M)ER
zS(7l&p#dLGyIY0OQ=lu}=tuC5ZhMZQcmD30fN<(oo5K|F*A)G8HBJ$b<*~(v8$__1
zdv%w4m<olmhx@MGRRa2`HjANsBw%;`6EFKu8!EKV`{~pxgM+Rx?g=7+pZukWa9v%<
zUugQ`_gV#bj-8>%@si=)XS%_kNqW%f`z7hn8&$~T*hpkDAVc)N2Str@`cNijxb?gi
z4{8xcTSIzeXb75UKjUWz^K_lh#^cn$LB;-+GaDI_EYdc3hKvB5g8m6n)ZsK^iE4Er
z2?QI7DH1LwFq7^kFx{vQi~NeG5A%}Xc%OhLAPjy~&q_A(6X33tqFG9&CWQ5w*_=!S
zxY5BmK(9{#|2V`kTtxtbC`Mx+8B=I}T4vjUC%{J!kF>j&)F5umqdfV(Dg3yUaB*@}
z9TI)kJIX{=A#h~ndoY_BScG7k^8V_eJ6v9zm7)aQe?qDT9nHWhIlW4^Q4MCOaSvza
z<-uglb9gD<3?hNwplA>e`MU8n8Sb)RjivrHxn%~vZ%cKK_NqcuY|8J*770i{mF9Wk
zh8aB9U=Y1np#qitivurq{>%H)`-ddM&0s!bGBPVr8Kk%<(~QIX@K!cMKgq%jgx;0+
zMT#haXhh(I6_pz_Yz<%NFqlE@U6muR8WbSijeGg=f2<HR5cRIK))ca(GU0-=JlxF6
zKAOqR0J}pgWJ#{3Q1*lPd2U4(Dz;4`Pkh_Ju4t&eYgz+nzO4WCkBJPtGGq^a<GYCM
z@mo>txB);a>GS<lA_>B6_nlpMXE1M*;wXOtfd6uYV6&DuXepVj84*XY63&mOJrXhK
zqYL|Wcvu8>Un%I0y7Cz__iJV@YA^wlO#d{)1|cxvwNu_~c#l<mfAGg|#uz-buhQ*n
z6o95DXXPF{zrvm+2{d=h8N)XQhYjCxJ|J+BUisTU!&FxDK2{$#0$+n$VOB=G5cKYT
zIwtiDi{WOBj?6QJB{I7q<2f!^)pPfhl6;AssJgrV*suW{3}u>?eYfM|qPtcz;@U7#
ztHr&k>IML@Qc3KAY!GbnT%$3q3%j_acxUvSKAd3h)pOs^0-WEHwt{PVF$eC}{(YT#
zz<lRJOu%_2;Jq{Iv=TOm#d(LFu2<EAm)7w){*w&w{IuKh>HZ<?f_@imCP5c|I}XR@
zB-6v>$!mk36vi;_Bdl(3f9e41Y>bzWA02!be}e+9Phz@!6m!x(9q`za4;mW!hpqj5
zsNF9$gG~|JrPrQngQ<h&kE8pxu(R??@~ba@V@JxBrx`W0fi1)E$%5ctEJ<0Gy9nm7
z?t?)#dihjXkuM{BQQX8BB_7|i)>y>6H|h(|i&3HBn)Ds5s13}*S!7HNzl;@QpUEhT
z0^$eOT)*;fVEY8#>h<faVxnHM(|?30P@5M^e|B;myCSp4D8_XitN7-UM|WEbHZ+^g
zcrUMG^^c@;#xgfC^;|?ZEvE&0X)pIS=x<;ZGuH)7X16eIKJV$`3NlzHn8jMwZeVzW
z?TdFPbg*V3d&9t(3@#i?b#d;SSZ2tl^z}G;7;L`8THHl~m1&WV>jr<Z6cnC!dYS>|
znn&tZkC9-C*ZsAY%@($5+-kFVoCzF6_9z)MlHl;SxPa$L|1eh}!2?aqEKu{sqejY-
z2<0uwsmfd1SlIO(Db5$H;3{~vO*BOlMrQg%&-T!P$S&RD_<J~*KcgP;Y)}Jw>JQi6
zctH=v{~jHmFW`VL#WM+^R1HWsG&!vIo&h$MQ=T5`<pN9noAys{5+Hi=+4c1mMu>ea
zEEFrw3+nd@1auh*pu0xLTn)^S8hQ7Mwl5zz^)09sol^(4GfP2d%UR$XkBF;W2R{S~
zo*Z7<QiC@fUUU^kY~Va~_-OqeLBL<R>0y$l21-0x?6ZqFsOFry8@?n2J%v&idkJa~
z`!&gpr<Vh$SpyGdo{7L_m~W%~j_+Jssq2v&<$^4>KZIKqVo<wRkL_|U9y)K2YgF^{
zg2J(kwV$sgpmTfQtIAV&@b2t-lxf2UqlH5qLO5yYa&lKcatIHr;`!fJ?(oCD^u6vE
zjbx$o{a)j24?I|hNQk8J2*N{Kp7EGuIViFKv960d`y{)*zxRaT*jpd_(H%b&yYO_J
z=_MXK*lXXsaS#D?O^7b!lp=(6mfmQ@tHCI?n_WXe42V{NO}iMCVV{_*;ooL8NVymt
z#4joVdJhKq@06*4rrhT>_Y3M^Vcr<tO_T!fbeaB(et7V2S26q%PJmZu{6pCTWFRNk
zI5mTy4h%Vl7dpx`AlOrY@9~H%*q8rMt=k~Lg~#>jXBCK$n`QL8LPj1${<JQ>Z`Fjx
zCn~9HAtX4}WMMJ2lbfgOE25e#NFcqJ$HOpkrxzW|;SGMi!>LWz2Lr^&;P@S5JW;9z
zdqy*g&BT<!?t*BI%K#Y$Rq}Ei8L4n!zXToWj0#l82i$mjK?~UQay}Chw4shCSGxVJ
zD&QEluUc<u!5gW8S{b4)oOV_I;v=L6-)epju-Q={q1Q`ha7_<-1Nu~qY}BFfpt8#o
zFA5a5|2hhT20QtE*Sg7_0M05SHV1Vm(0{!W?R{$m(oTkD!`2!Q5h{+`)1n2(dxo5j
zH=DpzU`xjYohC?1v4%R~wBVgE|C<ea0C2C~H4?1}cQY#v*s_u#AZ)A1K+_Z|_`S8#
z>oj4Z+Hyc3i3lx>{MSNOOhF)SxM#Ca6K;L}ksq2(fc#@evTxrr1IPbFhxqI?;pyhT
zNg-!EoZnOV_=uu8{F*w|^1Va@8Wa2Zzl<wE=SC&h?HF^Yh`&ZnLj<tpcy)5YUmnH^
zE?Fkkn}dYzK%ek!b$Gz+J#lVZ3T}Nl(c9Q!4$n?DdKa1Oym!mP$3#*@!1B?6TS3(h
zCr;Qr9cxep&B^1H760)8E2HX&RJ1v?W*5D{3#x!T$HUu`G&bP6bwle3(HwH7D3@q%
zN^l@MO<{8PHdeJhwWQo-24T3^Mf2MVFj5*r=QR5VdsK^?>Gn2*0hd=@)Gu;CwVpn6
z-S92ed*-3?xnHJGR~l1LEGr8@xSG4-H$cmf5AG5SF@+PRwTX_uB_WK_((y~tFB(oG
zY=yQ6pd@gq<;p8D_}Yx!a1mOf75qM|&>0TkEJhBHXcLB~4?FU;iEFf_7Scw?Dh6>L
zb9{Alf}mbk>a%BdgSIX&5v$II0ZU-;hqtHrU`a^lic8jCT7jgj4YRBXylWPg6e4iL
z0q)4oRo^YzGoN$k*Dzzq+#tVlAICw3UJB0c+7?Y)2>+1mZv-!7uKsw=$^s4HhBBhN
zwrJPuQ`E2J7{d9|ixz)U89@7nRE=lZUm7~e!P(wr0JoVNhondUVH|d`pAElm(p0zJ
zWu4~T$xYUPVI`M!%<_xB@ss%tnpiHAx|EAP)b9^Dhd;iAeYa$pdG>FemI5h%TnhBS
zvOBJg%sz)j;Mji7@vYMq{x;u#vZ@RE&KJ(FIZt61G48cMoi$pTlydVI2i=`&cO?4C
z`C)9kYcf4FY?U@s?$+s7r32N;6S3`I`mkX^w=RyJ6<W)^3zb{~I^Y<+YZ9l~hF!_B
zjE+38LhDiAHI)*j4bi8sx*3WUV4kbF1C^W0G-dtwzl*1Ka*!zgKv%bc_L?ePRrGF|
z_T#dksQMu)q;2;vq$R$k@mw~zR@J&pGxjOJ|Fe?<+jCNyrmsKIFebac(%GH;2l$q!
zHWYYccfjeK)*ww<DOTD5TcH6iWF@v$3*L_L{X3L3L>us$@>zJgLJO~qGLzZivVS5^
za_Rj>Y4UL?x}nEbX@V~zJ0m`jVd7l*3X{+TtufQSFacYm^-Sm_pK~F@wfgQ?gqkUu
zLChIu9jkSk@zSSN{xK4C$;^IovzVcoNX&d1jNYIvcg=`X!${EFbnR_@|18a*Z9Yb8
ze3KRsk)869l>~&=f-hr+bF@?|t|iZyEm}fHifykk5u~~rWSq0+X>rv-A<T~3wEQ`I
z-t1{j2=~sn<lkDLeVlNsk*TIbP5bnE7b`U&r9K1idv=L77p<cH^%Ff>SIHV$o+rTG
zOO7sSY%8?5HJX{TI3qH-Xl=-4M1V>98I6I*tF)A?6BpNGnNZ>g_R=#|9aP5$or^B5
z)3RH5pT_dBpfI|d<H{3iuxPDzGc0(M=B&Ng!`RM>I)Xa)msqL6_qb1sD~Ve)#~P)H
ziE<qJc%m6^UbT~V#bP>=o!hj-{qs!ohyy)n=Kpw777w<+TROND>CvOx)}7`!Zp5+V
zc>~>6h2eO0M2luXc>?}znwGqXZGd%cPFfZ0*~K!mml)B0>+00x0zO2!HDoff)5`;r
zI`x~=n9+T?FVwwC0*J#fb)eW<1xO1qKQ8ZKMa7*@y>vPRQPDx1cKVz$T)D2~kfe)4
z8zi^G5;ujB$xDF`_+n-FQ5tNUYR`efs|qH6CX1pUiuvsaPb$M5>pAh1OfD1{^f)uM
zQXEMLzMpfoR)*b!+>K6byl7+H^Lsy?6k^Y5!u9DYgXGp0Nz{iA{kGIz@xCmB7MBQy
zbC@z50i(eBulz_&Ib@h1BZusUJf@s{m0|8#`=R}31<^}Y>6`!Elt+<q@@#ubm7(+m
zCw_@4jPz^>=7;f$$dRkc?~Q;8v}y9tf<;7;oW#LXt9?qSm5_ewaH$GhQg;)#mK8@H
zYiCMS?y8`8OMWenU{#3De)=iWK@we^_}&{BjYms|?({z2=@mLp{vO^_B8|E~^Zlz2
zQb(~b55})mssa0%lpjeqWYO!t<L%rhG!XEx%6!r$z~;@_zN6!ENVnm>rqU@Q3LTH#
z;NsMTh}YjYf9+C0`2A(+n{_0VA;)5UOp*jkZ{vfl8WhnU!_S-8Lo!OUJKntNNrqBp
z9-*UJ$|ykVHOsqXEfmYK{2;zp3rrnjC%#ng=&qf9km^7|(=Aw|$~h`DQhpO367Wc*
z<CwA0ECp4zFj9)_bij8&>+{|_YAEDfxa61<6}=I%weH@f2R##hvG3Q^(WRc?@6Rt#
z(Nz4!1ZE!t&{cc-eTAZd)Q#*PI=NGkiud5!>@_1G2bzAFHPb}7*NqDLeo_#JdrD1h
ziwTezIKBGBh$v>BeSfel1%)5s<8loHSTB>vuCE}Xv8mXN5C$#8aJ7y)8D<LL7cqBY
znTTF05!<J3k`P1EDHVxBX5h!#E|)t^M33Z&MO&XV(2Z9Muc#8{&}dfBa^xxz9n_u~
z#!0E6I!&X}v>J2pZJjTA+N+70ZOgMRYbv8VHBlvd#Vml8V#Jiyt${k@($i`v^62lj
z*i8LC3*br6JZY9dK#Hk_f+tHP(S?{v=as`2V9g+^{qdg~iWr&6*7gxXm+M@$A7U0j
z&m`O;V2wusFKMfvZ*U<$K3*MuIt$n@er9GzGCC!4w))B%JxcQWsiaqE4p&#RZ7#<u
zq1t-1>L)ix>wxhxbsck1IG$JSo~nS*kr>x&nb$E>SkFDtXa={2I*Vs+%b}Y1qg6so
zGuXYaxjv~>GhkEPv^eW8gX$~7`L2Fk#lm+>|H74<!Z`(vS5rs=)oBPU&F5`n_J=Ia
z?@}-YUpeEm?KYx_p6o=U&u4%aC+u!k<pF%OIz&0hE`-j>@T*X+GeJ)-wYOgkV9n-e
z<QNM-TKkncez21nW}|TI{<;|aoxC)h8Ox2Fu6Z~1Ut)plJjBW%OB2v%tt<O_8i#Vf
zQBYAk3(&oBN}~5LhFI$+D~~}YWS4v`W>+f<^d%opnZINNhQVV$vg_%PTQ~Wk>U9?2
zC_FdOT44z19QqzlZLHHuHIi6WO;})h+x6MZr~#zc=KQMNyGVOnHA~ePWQHS}{SThV
z8-PLUYSz)m(=_G1`>(c~VTR4s4|0je^&x^mqDG5vi1s-|pHw5l4BnLnM_Zog!5rU~
z65ghRcF#_l64J&5az{@Njd1Eg!+Z?KL}evr-EsMLO)3*mC3vI){dGavetUio&qr*r
zcr~y#kO}zLt7n$mbwD{sS#FQd5N1=}os#RfGj9q`B#?LJ2Y<~R%ALU2x@J~h?Qrvk
z-@xwHJKAv2>&+Wu+h5pXjKavTIwqKdhr|>fZLpcDk|n*F!=jDb<4*JJ=#PX@`vmF^
zHw;rG4Hq#TriSUzWM-g>r5&E4r-D@YDH<hx8MEpwIk>3C0=V;OHWslIP>i`368vrz
z3lR$4GxwVX)^ABO?`PfV%UNzXj=$^JEjF@KbU!Qj-YD?rxTXd60Y0tQmH%SPq9=Xc
zPO*XTlC4dsj27VM;{2E$|6yWmgiMfQhobTNs;pWv$dz%1ELzfmta#e9vvC~I<ZkYo
zxSI?&r=)Gm1L%Q~zRTW@j|&uiXJP{<Nw9x@E;Boq0p6JKR(^ZO4VoY5w*!($;4{*7
znei(ljP9c3TOa0ydODXJ8i@qE&u6Eq6PW=`*={5T^1)=wREk$K5vuH?Z$l0X7>8!Z
z7iIB7A#dwR4LKsDR2azzi?hK<g5HGoR{@9*wLI2%LlY8jFg5&az(Gk6U;P*eL4c+k
zVinW`+k}AWk#G)Jk4eFuek}~bS+mIQfd-h^r1ITz;ewBrxwwKrQ3$`7RlaPd0a=yB
zc@7>tP<XuOoxZj>tW=XuRxc4C%#p4{wUrl`Ws?*86(qsjQll-ji2#;-be^Y{`5^rz
zwzZ%q4LO~^Td(Z!^4Pbt!Z!^CK$6LQ=97Ue@Q#%5q$Lx8qDt?klq(1-y~7>*g5*Hr
z0?8pMj{wQq4$g@}!f>j!&tmqGJT#~9Z;!kqz}J$s1Aogz!0xqk6OmgHo)?$T2gz!H
z)~x5rs3T(V3b${RHA)HGni|-Bb2Y$2PWx^?Ndl4{_{ZH_Q-*A_v73j@G=XmMdVI2s
z6x1jvN~*=Hf>qN27d>$z5dPi2RH-flNp<Thm11g;aP>{swg3tC=s2?Wmde7JqHde+
zN9v&LziH*tK!R+qv)7V3<X}Q|L^0P^147fN8E2x&Ap8S&Uus1jZoIx|wZC5z>N}49
zb@0}LzECTZO}rw!_}u1JtwI9a+K(yoKnkQe6uqeRR)S+q7sfSvNKmpeSA?>u@bcXc
z_wih1*dJ!W^uU)43Fo^$Zcb>!X0-64ewPY7nq#qx_`K5>9W%#nIP1b_pH#Znx+-`@
zqt*#|EeJ_|(F!Aakk`KKNaj@oF#@Ac1f~V0Yz&ug#~Fakh+<tIr#ft3G5J-ctOW@r
z%pq)AMlh5@saKs;hnq>|E-fF)pedSXI6Yzv`wt5{3GHy8`aYFJR|_&6ttc>Iy^2A6
zT?vDdkOs^wnuUl)lAw?&TTvku;C(+w3!9q;WC*q%;QXZtH4^<F9L!CDqkg1Y-d6+G
zEZY75#S`FD*qfv~!=~`;PnYGYh6eQbdCg^Z<6))AlacCU29k!<vd{(sMBQmL&7M{U
z`(CCKEiGoSt&)C<o`nDjwK8aAS^+-nnuvJCWDdk;!vjYo)S(Toeh`|Kg@$joFHb9&
z!-INPja}P#*u@+;+sQ8pqH{~_kL1lko!iu6wow&$&FNUSiiIJ9<(fkcvpJ+|T(Asu
z+~LaJVEX<ie8BNONh4&3A1(GCe~#~0g6CD6*wr$2NTr-G^}b>Tdd7O#!99vF$0a62
zC(H;Z&+AOAXqv&2ywib;G<nFlTuapTT*o#O7xp^8H3jP^<(FiN928dP?UtyU#hgBV
z>{azNg{`@)FHJ{ez>z&xC9>%YMpSKRKR*YcK~s4Vd`1#bkHzppYZT2zl27f;1pvth
zY51fnF$mUCBjn*e(ONIqNPg!8csDqr+9n_Z(<`uim35f*oDvytqK5%dz~1&xp&;bm
z$}G74WSmA`ImY_?kO_QjweDv2=ZF6R009603|Dtp&0iRAFI2a^=j~Rvb?<Fz_`WR?
ziqMc14TLBmt2C6zu1H9PloUdg@7vIjwzP+~)~}_K#;-rmIq&nH_j%6wEcH|Ba?)V~
zWN9TmWG>VKhRPP@pY9Nbo0RGZm+!yHM73U5kt}n#Z!C}#G`A8mA~#1r82C-9J60aN
z)N2OO&aF9^$PZd84Va!vzsXD~(|K<tGkBP>7&sQs18s>3H@P$W$qD)GHVGc4@b<&$
zRe$<8VH4ke>AKQhvVf;nWaPzaVCFY>XoRyvM12yt-s&dbeQeE9m^Oh;N+Z?!b&EtX
zZMyKe)-MuG*Q)=vGl5(ao*fre{t??=c)T@pYa_MkA&NYYjbXL9m(=#b8KQMdNszch
zBT1aG_h2m=ffUJ#VJZG0THMFwE;!bak4&qa^!6ITQ8RxL{r3}u^P{2@?QP%5qIctO
z3yTfGV12DIHD!#D`(pPi`Dh{O_b(>vGt&?%qJ|zBd>tVI(~s3}&v{4c#TnlpNHTzL
zzFEGL<%2}06|?`&n`m-M>E;0?F$37;mfAb+FhB^-p1sBQ^d*tEWlGE9iardT|DkCH
zeZ-loaocV<<`KqW)8TSF`d}p@dGOHf9%9uAIs5FL#l#3TRQ^#o3q<@Ci{dT1i4;ac
z;Zl7CaU^-#=mif8iZ9$9v^4A@-1<5w{Wog~J4^TV@>iLloN6av<o}Ccloyx%)cQ#{
zJ$U-ASBwcA{VOa_jdT(PPoHs06*LhV&qqQBlNeB|HFSpdxRcmYvbAvg?lxl3lG{{*
z!2sW4(}TWIorF@w7p84QC-LQhUSMjt9&GqLF1Y7WCm~b+Ug+F`E~20tooTOiA>1X$
zc($vP2s36K7T?`NWU#c`gFAE}B$<~oxA_;rwX611h;JX!&A-krR$K>ecirah?f*r5
zknk$o9XCLHcxdKsw?!L@&+Hrg{j7^%M4<WAo<U-=^JVn;TUzk1=2%EaOgAAA@4iKM
z=Lk`D>ZYz-6CG}UM_bbeJ;Z1*^?N7#7~%VPN2Q<|9j=!;UE%rJOJMRNLj3qRp<;g`
z)cT|*sBf+)=vm!Q$XIh1>|dH7)L*^vOaHC`-QO<$;VmB^zUVy*Daf26{?i%Q3mO`*
zso;UL(bYks@?^hl(B)}jqnuOtzbJLE?xc2?hYS-R=XZ{3Uz;T)j|^<>9Hqg_to58^
z`Y545d6+y@I7bYr*=NnV(ZIq#^TyWbF=F7>shZV{1>(T#S;FO;8e9l9j_qn6C$iT_
zcPch55o$ue1*Aa@y7}z>@VHD8G|6ukiTl{0D_K9n=Q9;r?q^HOPEQfLbRWF!Sl|Hn
z=HIht%&G8Zti-L8oF+0w%+_u$;DVyJJ!c*iszT+Nmh?*>XNi5^Wlvkb;{n&G{0q8U
zRH6Km7f*K295Fr?9vaxl2dz_t*7IH!SoQU~{;l;3#IXm7WkLokz|xnz^XQ@qh_5SL
ztQcM*j0*z<Grq5aw7=K+>(x|XTH%)R_CxG&Y2)~J#x`M~CpJB1)+xgc!R}A&T%7PV
z*W^WG9|iQYPutf=D}zZ!{Jd5P7idJ>e)#RNDC}6j?~;;(GTamCc-HrU2k1%rs<WfS
zVUM4WYQBOpl(viw-)-iDJDGha{U1q!NvMi!{-P2rAC}GQuK+Q2*3<Fd(r{o$dwKkr
z68JPdN{}vF1qY*Bu2B!mLA{i4g2jvy*b1?V5*>wsyulvdsHq5#{th--N+?63<EDn8
zHVQOst6yU!y1W*Yz23EDc}`Ekbyl}TfpJ&X>f##}_%;1TSnahk6d8w??Di9fj3?KP
z?gdc6*KM$UL|+AVF8*w6Iwc9MrayYWIMd)Q@4+syeiblYm^!%lN*Xw_*9ObEYruYq
zsq*91s-S;<n_jG_90cvZ$b0kx9cb@%IX2HyVK88D{!yv|{Obt26P2qC-EYS(@E@W<
zN}Jpc_K!+HjV#Wt5Y&Sl{#`|$x*G6KC{*q$O9kZgCH9wQGhm%<tnH1>bl8waYr9vV
z3NOO{bIt2w!oIb^Wd+UJ@aOR65k4<9SUg`#y~wQ(%_VGYW%YUxyH-S5SzH}-5A`Li
z5;XwDK@ExKCrtQPC>FVK86SMBZ>Xp(8i3cGS}l=#`VeAl%iejB4vWX`rKNo^gmo82
z)LEs5U?dyC!KI}Q!TC2Y9nv!bwyt~UKhjNrSTL`u{-gsl2j4TDwi|)OTCpCTY*R2-
zSB}V1(SzFpUwn;ajX<=@s~nvzpz!)gRg5MBhB8yJ_oN{(>NRa{{w3i4<?s~_4;i5K
zq(;Hm(*U6OwAh5DB@}p^;<_`iT>n#Z`g0!(YDnRB>JcjtR2({4#KD9kDp|>a0!;Au
zak>MJTf@=2Z8qC~GvKJ{-0myII#97=m-=RF8z@PMNwvMtfXWpMQ*08NP^-D`Yfp;}
zJnkysbC6+xspQ4{-etU1@c(yY%-9x^Iuh$n)$0N)B`t2SUjgKg>o@nf+Jc0T;bV51
z4nWKFiR>nE;7bruQ?RiGD$9I>xRDmjmaY^sG+qHjgrG(#yDgNv2NMF4n&6}sr*r(=
zUm|yw{1AQL2LAl8da<^d2AvW5<&NpEh}5^zKi0|Gz!Tx{9?A_Wlu|uQ_L)zTS3L|f
zm7=X7<8g~UxmE=r$}MiiV|G-?i<M~n&kA-9?EPmTpac`%PwV!U@?xxnx5G6jD{!CY
z4!%?(3vBVbt%aOd;@G^w(}MSwAlmzc>i<p><gLpprLPO2<K?Df7ZojGN1w$5%N|kS
z%+OI>Y!=4nms9ciHGqi~som6_!XP0lU->AEf{n(#$y(e1$3^|}4a^1L*rhB0NI<v0
z+5Q#^hQ05#&f_7VJt8O7bSoG9>-3r@<|w#1!8poZWDPhaP6`T-FAyzdO?wQ-DR^|%
z^bQ+s3y}FLwO?ud6k!n*xxT83g4X3VE@@lMVePgC^DoBz1jqTtK)z%Ot`)to;2miO
zJ#ORHV#$>R?Q!@)yW<p;jM+cxQEUpEV`h)A6wAoHN#{8lY$&)W;@6%aWD2bC!+%#7
zcaaxNBQ<PPDA=sfb5&>GYB*b(F{HgTLY8kyPRn0KL7Ukf{?2(Oz<e3R_%1j_l5&IF
z{RAjDptnsiK*<Dt*XV9zrOc8$^=6F|WGI;3QuUtgiZS5kw?zU!=gH}9y2)b%1yjfW
zp1(J51k?Z)?YSEpZn|N*HT^6Fo%mF!6DN#dHq1}Ej>dr|zTY;ztEAvbhb<ZnlZFuW
zrpR-3GbcuLE+l?fErPG;^>OqdLvSBBC^dYB8_A=Z3RZa{XyNT--o<4Ii>%7(gF?J0
zy>Q3yyPGI_6rOeCi8p{rzn3j99`IpE69=tWNDTee^&2wv3?O&qj|-|=0(f`$<K0Ic
z%lmt*rdC$zgZCkJxt`n=xV>a&UU``~Uff6B=Mtz7p2@W5H(XYs(8@I1f=UTA9M&po
zSJ8)b^>2eGmITo*$z$)rs3hKg_9B$4kp-_e^WL`IDU6d}iH}osX<Sk9?w3U@3;ue%
z+h}P`L9g8WJ>p?9DF5uRowz#-cH~G_co>P`n?27@zn_uCbKL_;T67kCjQ-|fVl0Y0
zp941wT$V@f(V;i1IazRpVeZRXCx#!fC1HiJB3jU#oGATFFz~QE80RC7HWN1u--alm
z{<^!m4}UTtgWIU@!aWImr+9jOMu0M&o*!cGt7U@PlPR{kHc9+jtaht5Km|vtSl@Zu
zm|*4E;bLwmjjZt0Fx3!M%nwS-T0PB#?Y4f3GD$LcKj^;`#_?3tqU~QSQe=Vix~p(p
zK@J@c>AzI^poR^fT5^_lu;7W2&zYvz@>uq3$Y^^T4YhevsMe`05c;zz+h?mHezpso
zkK@t6l*EPO?JM-bk$vCdw=gC2Z+r8qO;;0-b=F98hwH<J<|_+gUdm|mJ}1O>3mwmJ
zEZBY&F@TwZ+83)fs$hhG3Lnn_E$r}qpq=*706fQcb>$hUV(+Hd<AH~@@tf_lbd_a(
zt)UhDm!(3*q9e6qaxOY(vcuM@#@-0@yZkdJSE}J$fSXRYqAm_^bo9<LG=}yWhvxzl
zY8Z>0Rhz%)Vz^p({4WC&=>Fl}&sj-B*>8R)#x?b@`fX{*CEL|d($oJVEKwcr%`u7U
z9eUVGrl)`0Zwh`XY=+&g8u%+s?vsGM9?lHuri4YCfh!M}vg@J-%DW}s@|(~_UQ^Y!
ze{aoUAJs#J9;J!lTkJMUZ_!1Wj@iYdO%~AIr6l&>xF$ltCf;!`9h8-KQF%SN23(kf
zDc_Ch*y5X{#$}+5t3Ifj1^y$z)dhcibf%-<fSGMVJ{{$jVl02300^O+EPS((j<<et
z%d$ynqHO*Fcc)f>@CSTeBT{rsu)pWaW37%FEuzPRnU?UyB<*_NXH6Wfl}LuoYB=*g
zEI8NS60FbVn)n!NVkMv9d1(h#jGueWuKUOm*xznDeE6CMN_S*3TkMswd2L})?K0oK
zD&`LRSEP<2DaWR6Jy*bz%oaEQPnIzJbNohM2MwRvbB0w8$lz^WiT1N;mhg1@v$)6}
zHGEaLyLHT05+Ck~ENH%B32pbe4hA(+G5g@>^5`{UnEU2zZ^<r8sMy<|ye(f9FZ(5j
z8Xu&f?_xx5qN*i47IVKG_*4a5qw?I?JC||HE!~mc0T5kky-;yU8GE>Cd@G;v<6m=y
zV;Xk=hJum`iw-N{lPCFtHx+nrpIM+9pEZE}rbqeK?-Y=^FC^^W8cv)%$#svbl>l2e
z#kH%R%Aw-Pu<7)_Y{*4Xyep_ffZR;|{q|QfINl|}_4>jhsUcSq8hLgNq%(E3PuEMK
zxOMqwJ+^tW-E-*W#xe`oV)J|31$jvfeIMhI;5tXf{gPi_C20W%R%KtiA1RLR<}LBw
zhyIe(`_(OK2h1Ti*xfZnObiX@{61Zm`AgPv30cd3HUpzzaz}oV2p+ub<H*0|FZm;}
z)8CF_1_!MyCZpmh7*!~JVSM&4d0D7QS<u%Me8tXBXkHb@^CusM-e&tpZe7bmyenM|
z4YhknUTYz&yG1ow?>0}`$k$mMq_2jj4!`<B(^uhhpV{JdGYh2neVL;hZkPb8&p*0#
z%Syc0Q}JSN%@UcTRGfNr&KPPQa%WH&E6~&8OvmmqHk3*}|E%+XF=#dO-%_y=z&nMX
z?>Y!`AkZ%wrMDQtQz0uQ`W1fc+y7OTZyhH($7OtOaWaDYxnqjQIQVg*>VaFwZ7!Vu
zo5Ov!(h$@(dQY5u&W8lo?JbSd-1v}s`rBOxL!jrxU*kT_hq0FbeqB4pi~Yr=ZR_d`
zV9G#mpRPY2=5)3sDKGas7nQa)X{Q0i(Z*kHy~BrzpG!j&UkM=d(>XgF)Cbi^D~mPT
z_|V=ct?yL8O3cgF^shLt4}SiVZ67x9BTx6vyu&VnxT~I(|3_ROe)MKoxpeU33rioi
zLLFf=+i2f?>@5pEOs@Z&6)%AN?6G3jmJ|%+;(2t@nFVv4MNMB$tiZ_bBi^rlMDT^5
z+M!cROlU9g2*r~tvE_Tn?pw*CSi&yI%FJLwo5#9aYaXt`*j<-BFHVZ#=CizR37$-F
zO47N*J}kIg-z_h`Qvww-g$Ld%Gr?i<KK&9y7(JQ)*gKc`-mdAy`29Wx)EM;$*e?kq
zEz2Q&-x+B<IwL1L^OgY~|9+qQ*G0i(?r2zG$zr4MZnzQ60Ln#6W!F{_{3J$GY2%Z}
znFI=Dqb~zkValD<VNsMzea+~bSHRc8ZkKdj7?AU(bAT!;j+yVYT+1VsP-Y=-a;GB$
zE;Z!G3OY&P+Y_rI{F9XN&ERWK#qA8B&GVO@PnE=*jyt!lC{@Ad3`TS3K?XeCabiQa
zv@}-m2!ASBP(_)die{bb3^?POQ+Mo%45Ehm=tfY(b4PzCWfn8wG-b}1eXShUTZ^r_
z6GKB=Y2y`i5hhgp8GSd;rhw&AE_$V1>NvGO%fUN<36f{;6RYbKG2u=|tg5*t+8p1y
zS$miXES-Tg-!>)GX!DD#yhF!tls{K#7nb$ThpBt5Ss6KRY2_96X<_;Ggrp+6K3oYf
z5u<gepzwm#U6QVYak({vVw3tX!*bqPFrbQp)S&O+s*83uM{mb97(f79db8sc6<ON`
z43fR{kn<F;H+Q2U=<<&q7g|(9{qBNMI+cMQrYT7(lSa^^nfB!lyE<;U?4|Vd3<Kwy
zPyPs|nSh?drxVqG)p2pix$Q$H123>ki)}r+8cg_f!!&<spnpe@k99r+w+Lh&-1XHI
zD$TR(pJ!>}CdOl-spkybAvJ6}LS5FKf5oXfUUam1Q}#XAW4Zq4r_0<C7T}58JIemh
zk;&V+_DZuJdXW(x8Lex8!`opU-)=2jd7V-l8K;Z=J}FO)DFAcVho3m#)51LKMq=B7
zHfrA6GkxM2z&`F&EtjWS*e_;#%34|r_jo0A6lhvPUKJaM_IWJ~`@*&9=Bx%fxy7hn
ziMND4(MO)oRJCw+-=z7GbQ&5TIZkDbSOUx8nx^wTI?|eVbG}(eMIFHlZ>=<~pf$c}
z?a5!7Xz=B#^r<#wJUr#Vb#{XlOa{+i`^ct=^UNsE-AfAS8CAyow9N`!`RX^!%&TMQ
zJ=RXnb27NQ^o2p)S}VxPA3yuEm4+*;)vOoROCU4qo2moV3NqIZC+~T#hGiSvrB9p{
z!FW!0LS@VncGlGHO5RUJ3zfsWRE!02+-@??|JAY{B_+J~kW$6%yF=sXyZMllzV`LD
zJ(h6Z^~LJC^5y@-?B{-ch!dxB3D*=pOSre+qx|@?|EV6^U)!FtNGkWvRt%>B+&%Wv
zqa;!RuN3AP?Gc<Mh3IA-n>Q@SuGop+UCMG8?mOo?+CM=uM=w-SYnF8<KRZLLMH&@9
znnrXAjgpbtXNuJX2<S~dWS8<m5|2?lP8eMpAY<GI=JTxAz?u`<LdQRe<32ynbcc=}
za?SHP`BT9bu=Ks`hg9z}uHz$0Vk)}GM^~Kry}y`)Y3bn=h9)A&KiL{5w4#f&@YYhX
zVK)ch@)(PJD~z+s8+M26=pxOEW@01k%;4zPFCDJwg6O0(GrS?PoBVvXocr({Q#jdV
zRv2Qj5~(|!yj;C{$z9Pm!o_=6!?}@~9uY|a9Nv&~<5YD&`MYb$ILdT2@U8Dw(KO^k
zXYQl4*J*>~;3gNb&v#6~p(#Kq={64@(wIKr*EvEuTdJ*2oHT~6|CHZb>T+X)OT0`^
z#uzDOx$d~Qi!m&4XD9ZtapC)K-$LuIOpxj!6ni1k2-anb2HfD~#O#<uRFSYLGIpzt
zYJipzFxuv<&adG>`}ixLj^COlYc%67X(t+j;x@$u!(?`Ru6QEBI%k%g>$c#cQw%|`
z|ASGS9y@Mz^sSehog)?PR~7DxHh@o2YFa<L*^s+#&E%8K3uIJ4LSG)Q0qm+gPekXk
zVch12F+N|H$lmt&9-GVhU|Gsz_Ur>2zWbVbvR#`UeQSeT#s&2uZ)xw-b9HRk7<sj&
zHi`p}Sbdo(y~~2Yv*kzf1lbX5Jsa9)Iq{2`=6D^A1tO2zh5`<-<1M3m<u`)4vDrKL
zg-Q++>Ni^M<?3X|(2d(=a}{~9WhQv2+>r@2KlL3o13B=}$7eRat$a9eE6;0mkO6wS
zF<-~jIq?v#7VY{dfJsd*MOn+bP$KA@lCyl@ft`;JC45|ok#dTnc6tnOVH0Iz4shXE
z!zVeb4ngcowS3o}r3dW>>rXk(aAS>Vqtwp3!g%bb0#Cn?9-JL3yy~pZi>%!-r^6d5
z*w*AD=Mkg}OiQuciXcARm6JcJ&k{w$STv{qrvrSaep7?T__5WsX8Y~uVrYIfr^w!4
z2Xb8x1qH;cKu3NG&ks`xtd1dYo>K?r;%m!?omOG=U+rVG<-BIB=VkLYMH}FK(5F4i
zKIeR*nb@mB>E#@GAXLRo8<sd&+S!@HxY%=~_E4TIt|<P`-%d#zZtF^M_cTy&^!_<d
ztu}dde%#j*xS$1Iy<J&JQlcmmn7)}MqJ$$UYu39=YJt?=hT|Jfh+)+6{!rd!KfI}e
z-+6&c8={J35?RCI*vMHpxjIe-PltzW>o(K|hU}H%kc*Nyaph>&scBX0;)t1_xU3B?
zuVyOJmUG$e&3y0c4yxe;k1OlKxOIR>I+m8pD~mN-&!)$Z(lDIck!SNO9r#w6w6O25
z97=q#8xjfCKy&VCQJ+h?@H8@|Jf2?>$*muCJ(TEJQKr3zH%<=*u4ZzD-dDof&e1}>
zqGg_@UnbulW5C8Cy807R8MXXg1%-R-px=+h%pxNu+(`3PcK=TW3p_cBVit8V!D&<c
z#^pR1dfL=aRD+7Dg)3==z`%K1>eV_eeHdXyayxsgA-C1JJ3Gf2_#u+#&Yxx9b^G9_
zi0l*^jyct-wp?bS#;)IqE8ZBw8QSl3vQr%u*HxU_&%wf=U4kAJ8piOT%H!LTuqKN4
z($X57SonmHJ2;nX0^3BvLsE~9YOEW&9sw+jf48<n`hY2@`>5`pU}>Sw&&E*2T`c_k
z@XSh2WpkLmoop#1rj49&#_LA~Sa@!x%X6U30`#)GS?b@k@gYZlJN*n33-6s|E#4pi
zc{yIM-=u>L8B30CX$*`A{P6f<96+w2uTf{54$4*7{1dR%!z7nj16?OeII_WLJzug8
zK0ZG&6j7;-@lP+SZ~9{io_|k&mpH70uQM_f&+yT)<L~U}@-tTOvrN*ycWQZ_nL8Kr
zR;pvV{d|sIhZW>S+4uLY(MI!yzNWo1s`yR#<G~gsYcL7_`HIa^3zOCbph1rkn(eqe
zCjr**JTM}Mu1&{Mt&Q9Zjk4JKvGzgd8fz&1V|aR?T>}ex>(jmLCD2ao?dbL8KBB$}
z?rF!=@uWg?ZnYT&bweI{?)_~A4oAP584Rgm@KNJ?>Y@BdtNz42`@jmSx#rTiT&Y;t
zX|DCAm>v6Hdd&W_vH~mjG~r=V1t&yTihYfqCbvnv;rr5R2`@!U#NX4E@xc$(u|e!7
z54hY^=k>FMfsHRW{jpHQ6P3jh($n8a2lqWX3-bW0O_jAIZRBwHXZuse>oTJE)te-R
z%K-fQ6{;rvr19$0-?<a!okX_K?XFGY00tKI+O8!M*zVs}^Tec|xFJO?{ANqQ#n|J+
z3!B7HVj%oeV9O98EzE88$ZHKylg(!uxJB@A80A}N{3szk(MYbjVgandZN7!=LYTGn
zs-$G?e+1ooo%V(g<`A}MQuI@FC2B~qZ*S}RkI1-t)tYb63|<<%{Xs70jx|Y@ZWOWq
z2-WH6#30q>oE0hkmn)7Ny+ZHnx;z;n*4;87gZ7)k&sGnqwM`s2S$l18q+p0BiBD81
zPhHkEE1jy_zHIop#z<+!{oh2=nKE_iv<VDWYu5S3%#%kgH|Cgc=qE1jIj3%HX96An
z9KL=noh1cy9{l+{)I+=xKM?cbkui+g&b|9_?hiRX+qggFS{E@p!(F#?-UyBqubO)C
zV1hiAI@~2>*-0o>A7}5`WduzbG}|%7F*3J~^Cr7gE0OktVk%r@2m$9E{b>_J<luxw
z;@QCl!Zxz+$xB^BIF|BIHfGHLX}6@2x3E-4ux<Qr>EZ(esP(sSq>1*D4@4T*a=TX(
zOsiVTAz=ehW-8{q+S5hSDO%#x>E(AEke@S+)Q1ascdLTMJ4u1DnUgJ_3JL!UB6q6U
z^`WK)v_u?RNtw>LGQFA4#EFv0PW})Uct^+Y*eljVhQ9GWr{bPPcqiYDC}n3sW5qs?
zAn%`KftXWbGW8*mqjTMT>=F~QIXK^+*8f3joUNGWhzTMIe!94i5ED{Fd_AgsYe`dG
zU)Sv$o|4e_enRv<1K#;$i3xJlkb(9}*Up=~A?MwnUFy(eK>01jNBiol$e-#DJ++2&
z$j9r`SNfdNgP2ElY`=^v$+~W_-kYzGWZZsi|0hWoqFRy<Da%%n)2;G9k{yf402+M)
zs&&BS>f(iy$G?*ex$y-f10`f%RYZx(GH*{dHaBMKeJ3Z*Y?S#KQBKATzvc@hw85(3
zWL4|N?__?$zjraLDzc!q%~>>93mlcKJ@^W~lQ(3?U&fxVAs4nBdfr?}huf<x`6$s9
zBr|2pQdeLdx!aE4EOiwf+*Ayef*x0rK0~si_EGg@YgTB&?wy*j^VFP$3THJLv-C!U
z_j3bTmV5PX%WDmYv3>Guq@|kVzDB&iEY?i+`lPvX@M%EhzW|xDEj6TUTeI5b`>iC+
z&DQ<Br#g6b1bisss3W%s&nrv2bdU|fp4VHy(!eA#<;0$?Kgb@omNk3Te~~5jzYe);
z(Lgx(+L2RL^<<0SSeV_{E;2WWOF%YO4Q_31RId(dAg63nFC|^>A!kW;S8h%<i27@-
zRI<H^#E%)<RD=4+FU7)EJb_fmpCrp&eOgGGhyTsFy91>Cjy*FghE!o<L7qqBZ5z3r
zkawsY9VGt;0096043~E}m2Vuzv-dd0u{p;)_Bw}Sp8FW(mr;a@hP0G4kWx~ptcsM9
zSxKa&p{R6TNhJ-EQliL=WM}s~f4$fBy}sA;zVGvWp8Ip(xsq3yLYuYF5XSlItnq`>
zuxQTg(~;jCU(T~f1D%?<u`7!5Jh6k*ydhY0(qNbqv!&)@*(ObFsd_IPPyWeKaxBnp
zcr?OU@?@2a_b)0E?6<YAe&5B(DO&zsFLI2-iP|>tCV~pt!f(nKAM|i&x%=<r1x|46
zb|in$=b>WFM9p5~#y*Z$#z3Wa)L+gEJN2Q63<?%c({6`q4{%~<4zot;ra9(w>X$is
z6f_Kt8*F;;n`2aW#qq_OIZi24QPMwN1N*%o-M4s{)AVlS_DjY;jsbgemQ$sUvG4V^
z@?S<cVQnw>_?hq!7S0pF#=PoaODGg|WR7uslF>Rd$V)iS9a(0+Tn+R`Cg*>}O>i<e
zir14``H6%gh$ok*;@AqU3D3)aIV&f<PMG`?B!&jlR_TbV;@qDAp9gc(oW+vIS6*Bz
zLWGi{OBpdL5I+@=xb^%Tr(0iXx%#{qv9sY{A7e%t6od0|?$Q4^u}kSs4|YisG{qlk
z{}PpPPDOXuKVKdqHG_A{X$cb1vHV$CtDZ7!ZN~hD6!{4Ko81yAA7zNu4^F->_@;zq
zCyXrkB?Jif1DM@aFGq+Lf4%?Wni5|2-rH(xB}DjjdXnoW$;9vR=(x-?N+_xfnjO6$
zLQEy71^EUl5sL2nmb(-vA$#wQ4-*dJM5<@MO#8eFG1C^tW74DqmmMkbAv7ss>fp4F
z=}&dS{lB^vL2G3soV#KE-IPS+Y&Q7SBSa<ADT!f9AC=)dabnDCLWWq!pWXDOMw3V#
zSn8Bit^${=E5)t7a>U0K?+iw-Y7@O8%xmd=s+dzdF;pX}K%9E)*ZSv<F3~D9IrJ(<
z9l}OW37!o~#QHrX^N21QVP~j2r{_cgi&`Kg^;?C=4Q)Go)ZUO7uW!ozlT1Z_ah>M5
zGIb(q^Xg>_<;FzerKl8Nsur3xRNVzWQ3w~AUV-1*X2h38+7CzNbU;4f5iPq*lQ53f
zUUoOioVdED=FR9HJ*0i<K3z=JCX&>N{QIvgh)$Yb4_pnPahzlr_DhEd9b$?+l%^96
z@7t4CWgFvCww{{ab3NjVU+Um_HiP&n#~!PDVul%akGN&U`UK+~^RAb>6)`;}Nm>}S
zfZxT+Pj$(Lgy-Er3m+A0B0b+IDlm+J1jY2LRqKq2D@RNPGV-j6s{?jq6Ky6WOL#=f
z$)-d|_%37WQ)?n(LNIuZh#lN{0wN@qn-RynEE3a0t%=Y{mDq1WjtHm>+DRTaBleul
zE3Lj@MNkzSx5>l<1A_zN<~z-a!Lh7g6)p^-`kD2wu^~28{UvV6KQJdcnl+w34YwpR
zs|sDu*f?WGaj0`^tvSK}`FfQC!<-n4OR!e=aY0Jf?ee57bK)Gm^W#lVV`7NB)<V+A
z6_JU;o)lAaV)>_{lX*>g#6`8n%yy0|#GaL`ay(&16n;2t8tI}*9N(xi-Y>Qo{u!5-
zNbfKuT-LrBi+iO+2&}dWvXxs5jY2+G@$JUMU~A_-vl~*xqndBl+d5pq=(^vzQ`e9<
z64JOyh<A>ouAcQ|Al4OXmt8+wJfIPj-4lHu^Qu`BE7vWsr(K|V+~57Yu`ZEuEitcE
zWtL@n@--!NjSFI)T;l(juSF=o%_Dt?5&~y)+on%<o#DC9@sqm}l^B1S**Qj%f}eWq
zsjvLb=wL5<AL64%Y`C%RT;56<$d*)#=dE%=ALF4U<F+E<Y}jlW<|BuzO`qId?y|wk
z&(c`xCr2~{$;WIglt)jUjg+?>8`EWqeiQD}#L%6KA71VzWB%Z(QQjlKdk_A9AB;qZ
zg>w%x23pCuYFp5{V}OMdT94<Qw($}!xjYMvixg03qinYImm@r)_9|7RPjS|MuV@RI
zB%|c$GPzH)4tTOUt=n8^fWt{E7L<HX##;xX(^=gCQ|M`--hRUo)bH=Hyg-JxdY~v}
zxjj^88n2DBn^`p<CzM2j$f);vuhN}n2ilXdLTbh@)~QWC?_`b0km!!-GWlkUP1F8=
zIAP<g@)d;6BR(>c-Pp%#ExGkg$+hw=GpzW#TPw;3<PqS_v+h!+4MNYCE?%>I5iV{}
zm5=C^hci#<v0sa9Fv7Q(FX<02Hb@-vUq3C6-f5@aiAW}n?B~QK`U;@0?(=`TT4Z<{
zw3@L;tYNTiZFXw15Q2h;%%7Xd==o=Vc;{YgEZA*SoH{Rp7fqGo|2-ok=!`K7Jl4o;
zeIvakNen8tN)|m~Dxh*kIVJO~6&9~<Z!Qg%Kyg`zLTH@=C~kDst)^Bu(Dv?Chp`lr
ze3U<}jZ{R^Q=$InjSP%*#ecNhFO4k;m9JuLl#n^U$>rlg28`WCwN+M;&@+5r;*z2=
z+<N9y-x)JtcWGyzo{bF5B5zj3kyH@Pyv$tGM~Bvym`(T9Wbvb8Np7u{Dp~~Swy#R*
zU^evFHweigJx1Pl%u5ZrajRp`N6|6*Gw7)Mv>eWgoDJKap^ghb3S)=e>EN$gdbnat
z9{ltGt(CtuU_JWf))qrL%I@#@9XdtE=Hqo)-nS`GoDwd`lcytQ|APkyg%x4$VeoTL
zI2Gl?efdko=s0nGvi-5P63q6$+oH+R#NbBfYg!U?7}NINs`OOGlPA4%OgSw~cFg(D
zsL&zzZBVp4K?R?6UXfVCT6o=|d*%X@`(8~~sjL^OkkIs<+|;NIgW;>S?>5r0{MtIv
z-}35+atb-Lw_FGA%?}LL=hKlz88&U&tpOYmYIuD?7taDO$uDsC=fHtDo9XQo^e465
za6PDp8(HeZaA9C`mVNF+DixPEC}z6((@^iep+CKh0sFZ{A-h_sSX8M{R-vnpY0l4s
z$|hFO75q4se@+uvW*scprw=XbH#U!-SmBt+ZJWK`T6nWXE02|FfRbZ@H-`ePks`2S
zU89IL+{Zpu8tWV4kiT;BV^Jo~E5uf~R%s)&`<LpGd_&CkEN;2{k_jQzYb=dzI+(0I
z(9bt)2&1pUOV6a+K+R)BKU|diKjpvA^(q=+UHa9j&R|>Ud{|*;l&_0Ym95)_<c$z(
zGAHX}XNR!Fu`fncJzVHr|Hh%i5INdyv5I7S_{X|$2~O98Zd29qvV(>gmVH$8Z^#}4
zuLG_Q^yxw8`I|E`T?R;Jre`HpJD`O{Uu#FBA!tH_)2L#Adk?0+sU|xjCO0_6&VvSd
zr34QecYjRll`9srSy)f^+8VZk29=_jr4qt4$VE084R*7zqxiBup92lOq~R%^SGthV
zKNMYK15gBq`-i!GSH5Veal&-aP)Vu176F*l{iz>)sE0e#2QSz0Xyd%pSJTP@;J209
znM8LzJW4ZUOrOw%Qx<Q_!75<y??#><wYtbX-n(XAfr?|xm?`6LfK{otlb-AAVx+w&
z@vEN(yqvT6Gv5JDZF&_E2Xt^X-ruL?f+~2*T!W2kfJ+nX$e734nEj$S)+nS5uZmnQ
znz-Y3j*vLdJ(p9<c8pGzDBxtOQ%YMh(3Ur(aYRiEWoP=AJWh~DU=xp3$vPm17bicv
zYNBd8ZDu-07CTJ_ON$JF3CWd)0%25GikjxyjgfHc=kbG4T`ZW$-{8?cM?vJG!Bp8~
zX=r>s@N@T87M?1V?C(p|z_f&nkJLj+@LpN%me=Ws&uzo)S4Y(F!f{K<@H=r791dMj
zT;+%h&y8M2hN;5CplK(sj~G~IH54lA9Kh&v{v5lY3}H&9R<5-u_S+4x#BCgKd_QF?
zvsek&)kWN&MTsCaUbb_6u{|`~e$R()Q$+Rji{wl}5geMbvVJLV4~E!ev)5t;_{WK5
z6txTE=4inZtz&i=&ns-nbR>hNy;#!luP{DZ_KO=%+Tt-y{8NgLJf=ntL>m1kg2em^
z%ZP2Zu<(B&N{yF8pPj|$)9*xZM_R*p?{^#Qxi{-6{8kp1g|$u@#)~3In6oW&l?|@#
z;~aWwA&av|%hhhL7eiHG-UC`Q6U&)BfAa6jKx)}8=FN@bI2A4Na=#xFH(qc2@W)*S
z`WXQ_38@m0U6RN9>Wej27QH|6d!B^1I^<>lHA`Z+#_yhQur(}+(w?T5B#dFV)(;J7
z(36Jl1pcwYlk!RFo)QwamH$pt@0P~mVAC7QaaNd4Q&xz)NJ4(&s+OgXND$Y1rT#&|
z3e~wzN59`Bfu)!bcf3Fb-4VKqFYhs+-n%Cxzk!6PC#L^2GG(EkQ`PL^$ADz2E!{y_
z24nYg$jLc!u#J`cFMo~>StW~@^}aH=n@uzDyeE&?)U1=HTs<!}w|~UBFN24?D{O_@
z$dEgK+jspsIvl^ts+j1@LXtcZuu@48$2WXka#4wn+0`4@ow_575Yoi*&ml@EURJs`
z{F^2Iu8)2B(Nhlc4#oVEZ<NubaZh1Wu_e^oE9H0><j@#AyK{rHDw-bXXUiV6#JPX>
zL)D+jqkEHovEX|(yh%KC+;o*C!gJI#EwjleI2G~u&rS`<^3+D}V_CwpK+V<pxB}#Y
zYZ3xaQ_!wHDe%PH5>*fPKXp2;hzotTLp709<R;!6X*0FNhj)i3#j=%<V|SL$yFn9u
zDZ;UDY%TF3v-Z=9YGo|^yq+rOr-fbH5;w=MutZeFHPzf%6&%aVA3nEC8|4Llc0Ang
zM0)swmYW(x15!QidFdc|lBipH*Am~|<Xk=%spHg_q88F}UDO<w6JIrB32k0A>3k6i
zwD(x|yk4#c2jvr6C4A|~Zvf5gB?S&I#<BuEX>jbUX)`3~(0w~#urY-S=8Au33fTIv
z`u0$r#bV$}uH4^i-kR`8*(>mYW`GUtEmxDceBa}|;wDu^3raCj^;z=<;4RiU*cW95
z#TvV^6J1)+J@Y7D^^qY&?rLQ}H?f9Dww;#ub!}YkILB|c$_S^PNq!#wYmJ1MK+TvP
zI<O7-Ae!80gamWOp$iR6TspA7@3porE(w$DMJdK8&(ptS`M?Iv9l`yN8g!w_|NWV&
zqcMKWXLm;x+2ZxUk=RQ+^bm4T=!cx1F{};E?gwYv;jGCYYW=t#-qXw`FMKwFz)X76
zigbGnCK?4^+Dt>3(#CcnFC(n9R4LGpcfjsI@ng-8X?P<@x=@v32+=a>ii6u7kzXg2
zeR7<JN#eJ^XSxBF8aVfUb7tYb)QgZb34KVbiT+5~$bD8z%x3TdgMq7QTLknWmazLG
zTa1SMXYu(z0=QgQ*%lYuN<-iJU0FKmx)^2k`2D>MobfpDjgd}6@_rLZ(wsKbmnPW8
zv;rp_W~RSt)3DBJ`g!_lEzHa48eQXK<B!*&lLa|?(6kl~u)jxzkbABDauqf-;?;Fx
z{_0|0&pSX(mV!`urhJno8@rZVw-T|}MR2GcC6HeYOOJVLOLO}Rc%D$axqLdHFeLLw
zN*O=?^k=yVuyKPp8c>j?jb+~+7+3i!Ae4WsocAYST(Gijd9fB233Z)NX_dp`__I?3
z<v`<Bb=tKGO-!AByPs4dgUbn=!K%Z6><*sAw_Z{qx8~{n8&%TK|IhM@o)ZwU($rj{
zg@UP~1cPBKNxTZ}%ZQ$5!S$WWSBbA0sJU(ah%Z(QU%%dO{usuBUg(ngdKq;*4>CXb
z!c7F5B{c>*K0CsP&rWAzohqh0jtL$*DTHOD#RJbB9I^XNCfWX(GA?>ChgY!$VWu4_
z<95jbfmKp=;VdO&Y)l?AUM&E*V>c%{`5Z8(+%BHiq5$W~>B;#ze#|!yTRz`n5160O
zkxU~)q?$RpKA9i!K2OZQy|%-sWVQ35jq-Rs{kp&QBtOnX{ruQ#W{1@gnuj#~<q+_^
z{%-L*en@=?J$>MUEe1W!cfa2vi`zFE8Cfm@knf{z780<<!TN941T$q2@a59}rTqek
zI-il%7h!|Kc$sI?KS-#!SF$Mep&-cmP0m|-n7F=8YeaGh3E#76-sabZusiM0t;cJa
z5UkCV6swbly}W*mc(pLZ9`)Z=`D~4MSR^K}SsEcl*8FcLMIdIvu)XhRjV0@C#21vL
z@q;vW^Y>CQh;RRFd#A+;tp_VOyziv&?9{$BxlhCq8oqzZF~|yw{AOnT&q=|Mk8!Qg
zT@t_e#Yray8ORe1xVbJ>3MG-!XZ)t55V@&?QGbYmG+k+z``4wgJ96&U;|^)WuM>Jo
zm*e)kI=(iXltOay180TLB#^qdX$qIo5!ToF=@(rZ-zxQ8|9+E!r^NB_liqYh92$N3
zFJ2lnZ=Pe8<FX)(cfBD`Tf!yNxLAqHt!tV`|5T{SBb>d^&coID3y%9Ol>@o?!o%3|
zNB|k4G{fl1KuaVyZ|a!uA|af_cPrsKch24WbRH^LLL@zFq$Qrqqbgt9`y?d<S(Mcu
zZMDFTOHHLsbXlY*)o&j>sSMAncRimLTj0v4dlz+PWnog=T-8BQMeGqB3E4vyXjuEY
zN9vOtgjTe>%hs#GQt>cr$r=k(^fw89s+EVul_QbmCp18M?lnMPY=KjEwkDUqCWGI^
zQ~d2+3c`nn*SxW_K<ub#YipMR?tbczPbsB>I$7Q*>u3S-^};Iy<dk6Upl&{NLlY_*
zbRk_Y?)tUDY{k{eXq!#U9IeoTyGZ4KrePKcB~2zjyQ_lSpbU!oTWv)AAf<%lTEP3>
zC$~z98ls%{B<<|g!M~(uqf%`aICPe8e&&)o7^hsCodxtze8oL<of(%e-aW&|l_|LW
zM<&ffiw3hk<%7}ZEfMk~ZG3Eif;BgfO7C^h$BOATxec;(I2Z&Q4%ATb{h8p6Z(auY
zD!yCj%N05lcV#l~UDSlAHfgrW+Yq}qco}<nFi<FISwuUcg_!;#n?9Bi^bKw<JQT4)
zq;^ZrgZ0`N)6{wUk7NwLW=7w>Z&rB!BuT{AUI&M^l)O$QjFJAn>@Ks$8tf~}+K$WU
z;;HaIhel@;5V=p>8Xq&k(=tch)vk+*ty_L9J!^u4!hhvWxduJD`Pa@?u6~|NE`3S4
zZUU1d6D=Oiws3XYp0jl^4QkPM6K=<wK%mQ^#`d=zVkDIA6@8&$<*o}CWfe>iSxs%X
z6L3J=&vkvvy!CP2>wHA%7Gs>xj=MWUcEqzwKi(d>rjH?2>zt@?BRJ(8GX1E+!jgwM
zcYe3)WAH+IlfR=OLb^XoW(xw*8!}te{^(;z$-8i#Mtyji_5~dZ=lXe}$@Z)keZ;el
z&sSN}khnW@$uQUF?;n`{E|{Z_atqCl?|XEy(_^ZuTZxVF_y!+GYkf3W^Z83<X`?PY
zJYUd<jcn1bOo!VvSjV)M?7gRn6$X}`Povlv%^5l;El2~2j@>;C6pY<27qLlVV?iu+
zM-fX8V<*Dh9HzLu@ZG$yERl_p>y;PI2I)d>#IP$MRvGP_fu3!9**J3PZA~YaBT8K4
z>$oT&E#$t9uP+-G?y)u1JG7Cl*!P9zCx=nnNhf7pHd5rOUHpT!K)yd;f2M+j4PoAm
z?SlaOhUt%ED>PwmGx*f#rz8S*;O*m5px>}cqQQj<rLwHoQ~yMfIwF^GZ3FO%r~RFU
zE!T&|mcApZg>d4C!Tz1HK+J9GYQ|1=9PX1|`%+y1w&T)Y3=>$G9bg@)j8O$&sl%cB
zqI}??W~H@$bp)+qV0h0JZjR`?T|n&P!3=#qSK7=G7P(orwS9`{+?ao|WaT2%vdc2!
zk2=8MG?}gJp@8e2#=9Ds|5%;{vt`L&>~Xp-PW<nCc}RaqeUZ3lfn^{X{KMFcTQ}G+
zLftEeZ9Dj?nd}8t63sN4k!**CRmVG?*~ubx<MW{984Ii<tqq+P-L^RPq}?Y$O9mFA
zVSFT?f2_hrMq;{)EwnvT?p!w{;W_)CvIlb!_%1*Fm0fIu)t3)cJFMX5tEvp@#^FWq
zQ*9qflC(jA{1qPs3n|p;mh2FD!-He%wjYj<W<qs`uEY7i5+J{p+GzNa7mAr@ii`TJ
z!KcB0WBIr^qMVqkUbXY##m6TVqHC<-b~t7*S4SKPqe@3UN(;bkB6#)7CM&GxB;FfJ
z62r{ZxgRQP1QArKFh0D@3cbC_y`3sz$l36nqDKfp%H_)C{00WHuATDt{3eQ?Z=zQ;
z9Ynx#r&j;s<^}Ug$G_}XqNsSZMEg~fDDKqBE*<|)hk|pQi%PpFPJGk6we*-cG8bCq
zf9#}Vqn3<Ctg0B|9Nk{HtdNAlxV+3)UOFy|5ZY_v#UT28!0;nC@3?RNeT1BAiCcSO
zUB)EEadM;Z^h#Y4LaeWOG;w`+*y+>T-d1xt=N1(l;wXbincV%WzjJkxrrKDQEdkXP
z+XMZ#$zt83k@AIP3k(%{m9<@v#9`lsfw&SmXhfP&^tig6vfQI2kt2nrd9G$Y^YUO?
z`DiW~Gsj-9GCuv|(s0r^qieKH0h}F@@!faLp?*#Ja{@?6E+k%U{jG?IUBk(F2h7oW
z+U~|ODH$YmrMEeyDuZ@>g)7zF9F#i+(TZa-SZMD2(ZJ0wn_50p*y)%<-tp~{$U#{y
zCtUq{71SYl*81-U5p(RG`))NmD~HFuE4z95xjOy6yQ_cN3>mRMsvR`RI9XO0sVYiE
z;(6ZfmnO~NmwUaxV!Z-_!_SP&s%avfo>9f*F-L5u(csJbim*7+J~Z#B1%trs)#57V
zXwW!da)zpm^d*OKgt_<oc~_?B8CP?-zgs6hSEK^xeagvu3U$z|KnhzGZ;msR@_=J(
zHQW{6YSGcD3){4-lH(uD@rCm00&`3qzME6R7<x45ZG7)N$FzXzkcjm2H54p<{QkkF
z9r|GCGfc<JEl}DVAFc2o72n3}OgG;&K+{LMu%){t&c=PL7jn>qc)cl0rOOb>98-Z8
zT%RCjP7EhoX(4K*(15RqF%0u8c-)`S(Z}=JTi8+?GpAm*ewH&q_jRJR_6h^D9swz<
zOm&diAAKQdp34!@6E@)&t+1kd(CwifH(!0JmAq4FigQhu>@)9KW3*>r{*8hjx-)B6
zmTQ<nc<$R4-&Q8HPTZQVn$bhgY)<+)Co_1)9@v;AYl~kQTg~0-X((=<4R>UlfhDEA
zgKwoB>`Z<S{7KM9>rTJrD;3S~-&4y^yao2~8LAYp(=b3pnX%N3R8xE$|DMd#<$wy8
zkWEwP4NxP2<Cii_AS4sCyGo6P|0GB)r}_<`do|$hJ~w0VwWm3@Q-PBzu`wRf+&sgn
z&HZ=J5c9ipTL!KIfAd6`w?qtaU9@8t=es^$uNn&8qRd9;@1n=&J{my#B6H80FM6Q0
z7PfAPX5(%H{Z7~(1GHy|?Y>>6gWlJhUwy4+!>KAHPP0=Vv?bA7FGgu$HDjA#(<mEH
z1ur#{4D_Lp7_KvHM@99Xz9e69CsemZzi!~>PyLX_E#?$;Wc}Jb7a-+?@n@G$bouCE
zXJKI6+eOM)Zx-QxZJv#RKV*-cEL|KUZnA4k$XKE-Qk?OHjU8UalFdrod1)Ohl&+M)
zD1TZar-+Tubc)*EK5jmJQ>U`WTMAi`!Df@2*a$Veg1|eP7?j#|<_fPUR>s;G4|2Kr
zAlfZT>Hrm+RDy|y1Ocr7zW0IFOW?MD+WOr~D7fR5^>ezO2S=ww)0=k!fwdin9PHF_
zB_e6LQ}#TIJax>nM+T6-O7H#sPX%AwBLm$Br&y)58Rb{oSa?zz<Zsxi1g9ZV+{2Iw
z*3eSg9>p7unC79MtLs*P#fn-+UjHb|KR74$>W~8->$x2YlpsT!l(j2x=?JULZq<$N
z77obe(LS&?Kn}}ZWjVKn46{Z=B1PUr+oMxF$TIk?4DNdl{#~y-%z80!Crs<P9rDwH
zH#lw~;n&TteV?`tv#$5-a|n{L!`smPf6TR|fv%LFg5(ia<cA@*_nU0NRHkiF7MH}#
zRwmCbwNciHN8$b4$6UUgJY`=fCyq^m4j-g<j<GI&{X%Ug+dyi%C@yE6D3WF$C+W<N
zvx?Lb!n328*nD&E&TT!y;HWVyUO$>-RaX{fy#H#A{jB-h!6ibd@8y>*Et+EKysWt$
z<;>+yIuCi^q9ELPe7|3RFvC*WY37hvW`&EFS`$ya5kRsx->WOX=2-JthU96g6}Dc_
zWQfoNu<F@%L0SA`1+va8dU2is4cVyCkTQPkU0da|yLAzE)wMkTMPi`TGx#j;Mt<mT
zj__8X@#3>BlRqS#j)enaYVi*Ic%McQl}qHqJNFfXPFx?mpTbx@$gRIVki2?mnjfDf
z3cnxA=H>`j@8pZY{1D8S=RF-S2;mD`wb{Cs_#XfO|Njh^cRbc#6vxTld++_&kH?<h
z;~}GDrBGyKq@^UGC?Z8g8df1CrN|5=_Zlfu`I!w3D?4Ol`}zOgbM8H_bKd9k$!XNO
z?p8<-6lqgoQ#ochGj+Wn=>-L%f{1k`eg?Q#H}mfN4;JVeR{3#pCk5&?>w+S47$Cs?
z%$#x+8z}Ek`{+2V1)KAt;yiYY;8uQ{*|vlOy2t)(my6Q^Hq$;28c`<bSva01{ecTU
zj~}zuCusp~vtht97G^L%IWc>KnFl-_BVKj?M~2!0>Gd~aEWoTlIrNX<h4)YEZ1%>G
zf!1Xy$I6Knc9Sv+vaj<&=GgrV8GSO?E}1GGeaZ&@Dr0&l7WrY}^N+iMBbvbK;E`6Y
z$^i_zP7AIPg5VXnaLp`O6C(Hzj&^i%!pD`{SByo3!7%!ozZ8=uDCHl?`s~aNGZgQa
zQ@tW!FA-gzS)u_3M^&SWop>Nm^k26`l^D3%a7Dx%(*S?t#K!Z1yiiS1CsV5>;QBtU
z$_YXPNaD^{18(zy{H6JvbA3{9{Xlyop|W-UCD|mrj~@<jx{n(3%D{gSJVFMV8nD~!
zd0MrpAZ$N)PE6897PJ$rGDn;=AeF8wk>#ZjymR1diAt7(zsdj1UftG!gj=qgg3cn~
z6!btSXha^gVxx`DY-m7hNx7UEqZk}LzW<w<y&@O~CvB*wXacn|Iy1OO9Ojx2DaO|;
zK}5%*X_^ulwDv_9vo}b>s4%m7t*J76SFjA2%OL|d>q*@o2c<zk=;a&DIu&@9a-P{k
zTMK^M@;TfOk%11{euwuaYQUajrO-F11t*;y&GM6EfiQJ0S}0YAGZ+2qG|MT_W*VEG
z^-K=(RmLTw_%)%nOvNKPPaE>{E<{9j$b)P`UD!u8GVmG+^PMcyfexJuuY;BqfWcFe
zbn7J<I6PWo%m;LV!lUh7Ev^Ks^$UV?YFhB$`u(3GWPND4x!?1L9trNzGvDTm(gH26
zK=-rh22dcfqd3`I8SbZ0m+T&D!P}Z#X)!?~$cWs2aY$DMf+LNTp54^~6GP$eZTF4A
zxna#EgIyK=4zKuJ^U(sl^zmc{#T0h`4XO^PQw2{q|8E8}WN0(D<>aU{gEKO_B#v3C
z!Cy(O<40`BaP&d<E^l#wRDrMd&(hVPw{BO=!7mzcKgX2)>U)4ydY`n&7i!S#mLIU*
zqz3LM-0t%PnnTb`!PI1?8eA<-Uip4d1+oVibIr%iA!%44OJ=(o^a<xhhqfvK3zLLt
zh7%R;oKNrYd7%o^x|ZjgxD+7jYq=6r78TZqetPi#RRK4d`D0N#Wr6=1>tV)bDv&8E
z4`bJrArouIs*<E&Xwo9_Y9|%EhURR-f095)CC}4qMFgVlacTP-D(rW13u(<!f;iSb
zsW~+PU}Rg=U&^7vU8W{VkCh^n(UTvV^>73GHK(~Me=5j`3C7cZmj{)~U!6istiW?~
zcyvjW3bUbh=3a;8fb+4=Oy?;&@a+8Hkkn`n92FT{W{WZ)L~?#&^kbE16CatL@-+uD
z_l*UP1ZjBkXhLD6`!CVI_FGkT4dB7$rBOdiN%-p6vA@-3gy_2Kd%oocz=ex1oR-tX
zAZ&lVnX<=c!picv(R&4epS`vofm|ZsEoA#ZBN7orVy(l;Qv@^@uG%|47X<I#?WCU7
zB2@U<(aHOs8MIo_=M_fs!y_g?xf6GqQOVvL{<E#7AR!<UJ{7_Xc%-aMfc6t=XM5;D
zS~mgyJl16YbZ!s?UIkCa|B&VF602Mt6JQo76zS~ZfQ-KIAMVH65&fmHfr699Af@Og
zrSfU3F73Qd9^P%Jh;#6nTZIwaS#Z`|6k~?cE~;N@&>KX}@Okri%@7KnES%4K!2s-S
z{(oN?)S%$l6qoQFhA=<V@=Pg{4!Rb`D_F*EqUY<gDp~goK*PEs#;Tqcwo`adsfm^n
zU&dvEelF;PFuwczg(3~aWgA@f(P<*~ls*~a*{u&#I|{mPC$1A6KfiNuOScmujtxUJ
zm3qJ)GdL$iUL__I4*jdO>>*g<`75Ht^x({~n6Px6Wnvqj6phlkK4N73;33aTx}aL{
z;%iXyKVrt=>wY=!ej<aMLyB0?fpFUawtEJP#O#v9)6Ik-;#%Wth2ldx&?<A%gjIQg
z@HL{?3RjH~?Y^Q%zW>yQT{aGHcki1g#yj^2M9z#8XM6c_CiZE=K;g6eq2@VaYKmVa
z#^4VzcvZX!f1$w7j=_eBpgAJ;`Y%5F)*0gD9cOwQ4+><?l$-1!=7@5E_oU?bzeEH}
z@wMOqE$B5F3u>^KBcgvu=_WhP6K@%9Vo67}VBWgkB_?!^aQsAXK&C7bJrk`P0n21K
zp5{o7`!q*f3}mx@sJcY#B8M8tCXyj@JC*Fdd!E==5<h&Hx<WAf{3~~nB*T+iuejtk
z=ZS^$Tz8z#t`XC%FV&ZiXo8H7UUX{50<l`zDRAc729fG4scMj?0Xu5f@BI3(NYE=J
zdy^_?V1SNgTj)=9IQqReymj^;VSj+7=QH0n@JeQxX_8Zi-20aquM^9JRUX@gv1B?>
zJwp@g5Ud7EImbVYRId<cX@1=)R%L(~k;Htf233g3e@V~ly+#Oc?s#22&InQaJ(d25
zt3vD3ma9$r8-&>tlaep(%&=$g$C7*JRe)BXVK`HU2IjZ5Cy@qNfq2^J-ZZWZu>ru(
zX+aB$m&QyO<T!vkF=u4*fHFwPq|v&?ZrkFxdWL8^7pTRScQy2pAneg{OHV%?>~p=M
zuPMi~b^g4Wus;cAif$UJ`Y}Lw*!4XL8N6Udss1{-qy*g!ob-n5OmKAXP2FxSe(>WJ
z<O|DCf}-L*9E#tWp?Gr||NSEXmX`(mNj6HrR_SN#_LUXlT(@SnQwY4H_KP(zD#1Kc
zz064_4xk1o9<?46fpngwK-XSHIG0S#w>rcH`>OotsnX)`{Y=LPuUbX$b!@3ULc;@-
zeYPCl*CZjNJt?QDS`m6>)S2%c<^|4Rotm&a(!f5-CNc9#5uB^yB^&1Xz}PNGZ#RuB
z_!DAYeGE!q<tA0rl`8<JMD%`C$H_q}_X?KwQUam5>g$hA2!U~$$$uB+6yQOuL(A$f
zCAf4}gVg9R0{dRS@~Qu(2&UI3i}v0i!RK8}Uu<H;K+x+$=+UPnfQSpn>cW)a6{Eg)
zRigx)^*miEk*oqehBuUUrK^A~iSC@cpft?h%n&GzQG)^PrN8IaRYCt<UACvE3~2F(
zJ{>x%0Vh0Kbo+|bA-Il~dZbbo#0vg+tr?PmNy%g&vqTd<c70$L6_<w;W8URr4J}Bx
zspdA%pao~5#jJ*}DZqf%enToh1-eg(RdM-JpoJ>+aeeFGhU}j@Li#DNIeI+Ob4nW^
zYD7vQngp7Or)0{LwBbbPWXA1Bx={Y(&~)Y>WiURWUYo|G1FYj*${(-j!_iFcuS)i+
zV5U+=mt?C0%?*1xXOj(~T&h0MF?DNi%7mA-Sm}UpA+vZ;u`&2PXZ5Igt`3VO(#e^N
z+8|HA4~g}ff~Wk*2+q_1*S6W0*}Ju2QiDvMT-xG%nzEa<jV7Fbm!C%GNdacxzK>os
z=J2JWBIZu9CQK?Q{%{uB+V7Q|u5nZ55MFzO*{)d=t}H2qScqssdrscd&X-hJ?a}v@
zOVWe_9!K}TX{u0BQ@JtXZ2=-uUg_u7G(hs-x1^O%O2Dx%#OLEz3m_|g8;_UJfb@yN
zLY{Fs7`-NyeOA#DGMIMGY|N{{>+tQ&08~J$znYxVTX9<!dn_%XaM1yBuBt-P%46fp
zNElSUo}fQqXbI656m}TTC_~;``Q`Zq9-t3Vvp>gT2{kXn)ZVL+V7@f8K=A_;ocZ%D
zz3!C-l=4+1oN-Wu#*mZR8<{J_y*!f$R#yuUSWoGD=O+(w6l)FJ{(fSB*7N;RKNV!V
zo}{vd%Yv}?+7Dxz9z_3I@sF=B6|7uO(2b-@L*$0eQ<}vYROcO^DgWIZI`n_bpNy0M
zVQr09eQ%c0*yfZk>t1t+%aGj8zNH&tCnTaxm1ywE$Xd%^p8za(g^rmP2||!wXd`p@
zHq2}%YIoBPK=1Uu>{}Upuyo>my$~Hej+5mZe33~&0Slw~wgztKyXZr3{H4d7d+nCq
z=bOQ^Fqi(v_UvHrfvY1Xhym9;J`n%!r77sQe06uc!34cYPb1%4X289pg{suACQxpo
ztdeg{2iHc9o#HsmfQR-srg_qtK%vArx9Oe@;!m8x#4lL}99#9RwMEw$`hv5b7mfcT
z%62?C`>=@~zw0tNKYhXo9v+Km5q>#K(2_s1X?oIQTYm2ES`~)SoRFu!7C1_X=Sgtw
z|3`=0HLC6|Zy3O_skUb`V&93j^z6Q?S#)^fc=q8}js}p+v!;>B^_GY$UM^R0q{COb
ziWpZP>x0$m$I}m9mY{21T0sn=ba+~~(%g<o9|D%5U&mW@pqT5z!ewjQu#;g>vGWl<
zFd|Lt)LZ?5_C;>r=w8`|z2#@_;x1iCu~N;Ipbn#d1_Lwxf^@j?*QK|6EOddt>3L&P
z;y4NzW?cKamG{x{_P^g>=)lFKLF=;P(@3YJyV&z79nOe-S*WS01AkUY*|6;|y77K9
za!ipPXQw)9t3K0)gctN{g5-Jha`ISE&{loQXAjiWsB6Qk$(NthcPt{uL*u5O;uvto
ziN?2WTROj&GV@u^eF?p|TCl1R#E4tm4sSbPMgdX>)oIOd1%<y&xt$xrgfp!O#o!NG
zV1v+Ez0+%`{Q2kL{5)o?_K{;3>z3}mATc;Fl(K;gO;)sfS6J}NU%x}CTYEY98N;}b
z7Y!Dh9&{0lV#9meUhmYoLxzA-1Mh-ZT5N4|J}O(412>WF&6y0yu*<qj;&A0QtYL1u
z*~83*v*%LYe1EM8rRO75n^x$sga=!CLlQS$doIW7E~p7AR$WQ0dl+!%d-giFA|5<0
z`1O)(qz3dWH6FOt!iev8k@`EwdGWKD{!*H8b<j-v@*3QkaXPPP@xSf-I9`nP#bAIs
zoE)SVTxDX#O~#86IamOHxZ6-ZF{=hErRSfoe`dqKs|R8$J%n&aqEAQgRW*1rthRpR
z69<+(C)B1WE`nLdhQ$~S)PSYvlm_QC7oJygD(avS!|oLm>{l1Jcp+_C6ez)i`!$W$
zLfIwoS-Geunyso(*N|Q<w4WD0XLY@J1*GtiyHyS0m8#I975LAnj1PO|AIRtXB#m#X
z?;Un}r3&po5;%P11#o0H59=7OEVh^Bm*xJc3cu}RD;LWIvD%q2t=uDW_)20}Y`DA{
zFg1i2P`re(XBewp;%9j*SY30mK3NUO5%>14D2w8?+i&PB-4wBAa*5}41$8)UzVWG<
zPaNlEH8IAGD&Z)N*W~`Kx`~O8{EQHn#43kdsDts!SnwiyEX}Y6ociQJ%8-%9D!XaF
z<*KS;o2JI$e0DOND!xc&vyj0RA9vpO?^MIa#ckB6W-_!cusX7zl*M$9Ypgg<Yv8lx
z>N(zdTA<tzmh16E4m;=H*Cy!5xOUL5MlFv5iZ+2FL!<JTb4T6a$Jb<>Mf6uKG;4#0
z#Ii-2sv_PwF1w<8Pz&qa<k~3a)`f(?OT2zZmGA)V@5SN?EqtLiMB;sv9vG$^j8Mxb
z;qh<%!ZZ#PT=Jjx@$ak#5a&xP(EU*vU;Iw}x)?{nBZ3~eJIf4##o7Abv3?b-!4i6m
z{SpPsCW{uy95n{sJ{QHvE>%1iu92y1N5QuXvO!$K6zmV?@VMrv;q0zwA5V8`VcN&f
zSyv~_;D>JBPHd=-zvokR`NXua*;w-o&lXp;pCmN<-&MzZpN3UDP$1*r(DM&%c+EkQ
zada%MULB|9)0vI^RmWX#ldrARo5K|CtF{yQ>ez)LNcS|TVhcx`##4K?d}Ty|>w=X!
z4vv(Hsj?&CqEybD@ON8&u<`7_xB@lYzIozAt+oQTtNTy*zOV(<+Rz4*-f!LiW9wzN
z)jzLl*PcXfw}756-RCIPDwuIGv-TIGB)-gPJ$=;C0#Y^9x*EciF{fZpWs`|8cK&QK
z6l7unk4Eyosc@5U-=k(x_pSK~VLeHAj>7^1Om6J7y{?F3?OiWhII`nMU6w~|w%!wv
z;L1I-B9CXrpUUMj(qmV-JNg+XslZtjI_>KvhhP02I=O#s8Ab3L?%3d<!T}dyk$;Uc
z_}?kfS<%W#6vC)ypLE|GI=98X=+>0RE5}2twk>ob{f7M#<(lT8moRz#wUY$CtY9|H
z^0<MB&Y;McyaM1J-R`$5P!!jd+2*;O{z=@n{Vr&21<?NDw>MXT5YEd8I9K|5giwu1
ztZH~jz`v577Z(HsFqUwk5z(C@j$O|~hV^C;NPlydQpt-u6CAQD>}H6p(!=G>gQie^
z=*~~^1aACmUy`zu>MU_Ag8H_X%@ovZE!?^UI57E|xI={hEKygq>$jq@34Bl~tw@Y!
z!BL#rn+|fbgye%E((Wz4>D#usU)yqvzt?Sdd0d(ySV%qnX2nKeQ>gnr&4&(quw5(D
zcbO)53nH1G&l-ZBaO%6xb{fnODvW(?r-)S>UQTyoL(sXxA!RAFj;4ZzBJ{W>h|MFB
zZj*@y5c_-Ti;mDTS`44qXu+dIi1kx@;a~dj?neC0`dbSq_7f;%g#0EZW5u_n80mxf
zz4DzmF8)O`=@*!bwTB23&)Z_`nR?K|(LY`Dd>Sdb7p^|y93VC+lm|OEbittZa*Z6v
z1bV>b`z@XI7tuQ`%*h|93yv4bz8_dekm>BAX^v|jF|%3zgWRP9Z%*xf-gbKskuDYg
z{W<!X7<bskermf8l*=Z{4&VKS&dVRnSZV1dSZdl_N?vM%>yG|=+hqEX;05FR*Oxnp
zt~lfC4cgj3^D6y|)tg?l(m!@EKD3>%esqdHp@agd<Mb6d99^h+PvE-Qu{NT<RcY)y
znF9I?+WSWa+tF}$4}N?49YMW+<nxmXEx1^pZ6Y7khT0YjWheeM5x+uCp8RC21sm4i
zV#fR4B6C9l>XXrWg15SxR(FeIk-X(SVhl}4T(8*HAhM2NS5-G}*uBNQ&;jS0Z!yxb
z(B2u|T|-0#Rp{V%n(*ja&g^!vT9i^DLz4JZNzgM~rkS1AfTAmuQtyN+<j27jaml5O
zAdM%aO^Ry(srC&+X=yo<O^u@Eds0la@&9L@=%5a2Mw!0)Q6)&?dhxf_=qJS3{Cs&{
zf*S0Kjvb}uJw>FGEv;ub^9i!z{1n$4Rd_mf{Luw+0gADF$Sq}dpE%$yEK|g!3d`Jy
zZ$x7rpluxQ_-_BnBG^0Gvi3TtKqTo1OXTTXB)r2>vw7zoLNj%&Vk}D;K9(QM4j;)v
zg7)<{Tu<B}a-HnnSWb~ZKzKGuuq_Q0iH>Y2MkW%U+_U+uElA)e7+}g1dJC02OJygk
zUnE?9iFUT%Qv%TtX|*hT17Z6}+ebGe2*n-&?#4AmILP|VWLh&B)wGLwyQCi_-ewt<
zZF(uf97Dveu$Cm`5`J~?)|exKCN7-_daD36w}mV0Rj#1oZR<8gmv^H*qdo5jDGDGU
z>pEqkn}F&wI!2zv9Yz@)1I)Yg<l#KeVS2ZYcvQt__0&iBH2M>rrgB$69^U>P_1_Yi
zXzh6Zu=<U2h}vI0`S7Y7q+FvUoQQ}+F;C9grjEy;_t_0~yP4$RXw!gtbzmHl4{Ywf
z5f_gbN7n0-<7HtsiKpPz^El*YVD~Lw=?c<-=1O3ag@>Xn)pvHpBfbcsm>+{z(R{@c
zx5HH#V2_T9Nz%TAtO9wQo%~Xep=jdI2mCTnYN$0=ADDoQ*JdOxgrp)TA?gQGt~A8H
zdh?F|_hmG+f;v_o+(KC{8Itcbq=Ea{H}~=4M5Mx&mEuE_hRUv<a{qEc3XTnXwF@;}
zMJ11K_g_oSKxItkjdX>Qpl8vL{(+Q?Y8^Hc>fG-l%-wKk<g)}E>iWjsJd=WWnd*!x
z0&~!v9sD~zIV2z@DQtx+G8M7kEDbsAb058avF{9FEe`GS*0~+pw~%@v^+JKs1GIXF
zk0$7n7@RxW_{2u`4jNc}vr}q&K1yGzUaV{th2r%6AwE0O(O~s|w&RxyP<Ta&KOMg)
zh-`Bwx0Pn1171R*n6VIXTBYvL^c4Y@<vpg1UiZ+w^l2IHwr8mFLu-m~r7#rhX<ENf
z%S9r7{>y?tpQEqKPuO$Vg+cmZjM?L^`{>?+Z(;PqQe=5`IPAe8As~u-nVFwGK$w4l
zSh-S;*ajaSVrmhDFPEK}M5^;qu4#h!v;0bwaY@CkNL>(&Gzf;qjRMrnnYA#sUWM`^
z^zVe<5rBgZ*Umk>REUoKUF2!bc!?@CcG~Tt6M)F-<F-n!MQHTMT##bSYa}#3ah5xj
zf2$99nCwhS5S_WVS?~djD%&(R3r6|2{C}T~^hznZB%CM`pxS`mWHlzPc=Lgr>*Ffw
zcsZh^4hpZSHKDI_-%6+Zcwu61*sF`YFOZ6{9D`?2Gdl9XZ8F${7Z$o`()=Q-(QD~<
zJ|{-rq4|Apa{PYsfQ{wGX*I=HXq<9LcBc3}a{K*Wwc4Kty!(T>Xk_XT6QiF*?7NRh
zOnGi)&onm(^7{)!*I*R;rP*d&@;|igN_o1<Ic^wehZ5zR4aj9#p6e%jC$c)B{!xyd
z8z7;uR{ud0QndAIBkOddt1Fh*eayHZ?SA($wwY#R5fUi+G^-bpjKX5$4s!xw`k(px
z3oWSr@g{YA$5$k+XqR&PE(a{IUb`Ib*@g;JkDm_R@g3F3T%n8ZVu$w7)JB%%PpHy;
z2knH@FZ6Zbowyn=JE$vO5N%5S4>39)I`@k_fM{k#>2K{}gR@yH(Zbg{k*CNI2-^&y
z;<CLfCE2VH6cr)%;Y~Lh=02-ull>c=Jv{#T(i97%sEio@fzPP?oleob(HL5a>7SFM
zvOr9^!eej7Z%DE$gyxFkBr4DP687LOGx+B#<*Z8nK=T}~%%=`dqnnnW_mkI|V3+^p
zKhCYcQ0=aP54o3T(eT5UvMhc~P+haMVN^4KqCBXSgE!~U-tK1+asM%bh<Lp1k%1u;
zV!iLaMBf7Pm{jExvSNgw*C{f+b|WaxeP504;Uy%oA-u4!fdQna1(mF5#?ilJx1BTF
zSJ9iy)ofvF2H4j;GI*3>3fXOXcU}qKKx02Io^$S|hnMwY^K{xX=y%Dx01_iD{_x<E
z?(XCCuqo1j&I$fShZr_{ycy}RixN{Z;-d$R4zq2#+VhBLE@W`FV89<|{a-$NO9xZ-
zO$Qc|7g3PJA4&cuCY<r!SElwV9h^<Mbbgo4GOD(|Efbr<ieX{kpJ@Ocyl=5jC?Kt&
zXFms7txGwuc;+rC4>vm4)lo9DKWq~v$FGy;)3`Cy&Im1sLv&!jXmMlUCM|AhdB`7-
z#EYBWt@PyFr2`sQ;uGm19lmy(xg@KaAO8?2?+II{gCM!u8@7KL@ctgn%ee|d_}&0*
z{KhSMh(GVGAs^3-=Pqh0ef=zg87FLPJ_j?v?<9p@4L>$af77&j^0PP|@^CMBe2)=w
z^o`_Cq;X=lh*er^L1}FIq3hBsEoS&ReNU%~j|W%wDve7`$>0kzl2O=#6@<!c<u7yc
zVf0wib$(6`cix_!$eLjXYm&2J1qk57_D`y$)D`hlUsskqb#9np4t6Ok7Q!D&n%CDe
zwsditE41z9g}9o13{O2o@emRB?0}Ifrjxb}O=K5<Br698IeQ5#Pulycl}!UXioHE|
z=ZG*cPI2CCq)KDELpiBC<H)!;Ji;#amN@)+qMgx9D~rceSi*hyD0p=9dVPGiG?X-_
z`05SHVUceYUtFGQ<JbV}3Hxz5aO)=aoElQV@tcntJ3trjb;?cX$y9<c{=Yh@G$ed_
zz;fS_COzCNA5hS|<xl;cO`PjBRdCeMA7MRN1H8z`azi$b3<gn`JzoT<;fptRDJ+>A
z;>fB>Cf-BZfMfF`E$?Vx&bjP0ab_cYZ(J|EK35N#R}LFL*h9ubLt>9VxEf(i%ifOn
zl14x)>MnfQS_|h_U0~TMXoU4X`?LAIGlkT;ewQ8m6zrLv>E)(rh})Se_C2lz7~e50
zuJW9M19Axlx=ei>)%)$(#aJqcO9Z}+WY@;=AGs%PdFbMtv2vpf2}_tt9c>eo)5fKT
zXftfDQ?T9QBDcty?GWC`f4XdHD-QXA-ifCgcs!azQy|I;f<LLH)gGbXFyGf@C2y7R
zDB~ARKLu;BxhBDQ<GvPdO&s8i`XY_1?wmccdE6RkzO2_zrjfDWm<<=x1%7<CKUD6#
zk2Q>2r_m%=YT)bR?*I7<(&E#utan#ft%3ADQ0v9CDy}|wtbzKzj|h7H%9wL2FH7{}
zt9w>Rcs_G@N9AjJh^DGGjkIis5l`mYJJSl7q4Lbt8=5>YJmn+5NxL0}%<eTy{FcSp
zdl*dx4hq8l^6{(n6iYZix-4_xmlXaV009606qk2A6z&7Zm62%3y5Wx7givwQ-F>u6
z3PnQ-krE<`h@zAgeI+6l8BtW4q(WMhP^n}@LP$e2jQsBR=RL3Ib<aKH-k<m9?Q$+d
z$&8GY`nhzyZ40rJx|5~IBUfyw&8snZO+nf$6_dN?7a;!v>k_R~v*L62gN=Uiy71|m
z*RubM75d&=cgD2Otay=7v4MYF4_Z1Yr%e}IVQS$5&a|gW6%!LRcOs_HFrBMXZdwEc
z7r$4x9v>?YGU`(OOQ2!b2_kiX35;L(bHr=BzkIpm-67qnG@Q&>h&)><Y@cgzr;#(u
zQ@@*rn7+`%xjES{7`r84(5*LE8}~?+uh8RG?A61+>Z<OP0x>Ky+PNuPe@UAw4BA|X
zdU$X)hPZRc5@N4@OFMZv)CFGhOuDa&Gr=}*m)Tn4M9ABE=hX^ODj6Bj^V7w)`6sys
zWg=W98Z_Ipl`&b5>8U+W7j|7&v+U=KP;+{{bN2~VEIFvW^UV}pY<O>BxaGDG?cYMH
z`}1c&^zixSu%A>gYw9A5mdM5r1e4NB)KKWFtHAw51vl==$yaRxJaTUJmyXTC2K%z0
zJ!-lL`PDI!e^7uA8s&HIurzS;x7llh1-dZQ`_y1)B)|o?j)AvaP5h>)Hob|}MIigZ
zo`0=;?4IM8)5g`pQlhqHNv|$04!@k<dx{U~B14N)2HLndv#a>2vmPiLE{s<@@!^-Y
zJJ@k10Ry^~3tx8WLAc}rDTTww#2?3JBLf5o#f1bRXm~qeabV3~9`dFSbc{VFVzrJp
zTO)-AgDvTwwO;c;RcK)NXOJ-Y`-hf{pENLug&Rk2@v#5J=gl+x$cP@Ruj^k&M`8G5
zh1utMU|1(So3~I0KT7;9CMxNudlF^-^dt{f^zRm*wJ9KIb~DS(7+5g9Q7WIrgTd#|
zfj#{cm<>1OjGSknrF4tU<WwG3Ph=aNen3UZ9Pa@S0uwg8p3glwJXB;{9i^Yvg<{5C
zg|v7kM$C?_t1aVU)o_ok?H)Y{D2fI%C$T{4{CVMiGY^XyUjNn`&|rOBNunRX!p)CP
zhi)mz&d1`*_r<b({ugdp$nIcaNmEH(8kdj9w6~*Q<>_#HGP#wvoQ;u!5y^aiK8CVp
zj9>GkBjD-NyZZ{*(A!BFHo3t^8#Oepp_z`~5s$WxPq5Ly&1}E+glyb$X0Xp91|pty
zOle%ffp6um6*hJPtaUS`9WP*Debpxuy=V?H)b1F}xG2EmW{YccRG6r6IM=Uvi-Ub`
zlV0pl7Q$7D9AfCfMEr}KGSVv!0t+9=FWo7GP;;T!wUmh|l^0!~w{mdXy!WhogAnsF
zV$v=uvS7jsZYMNyu%w|q%2^=7`Bd}8UCUVL7DUG`Ea8BreDTBOED>^x8;Aczuu!70
za#Zdp2TKX=t`*9bNNV=U7{9{8z(cdAd#yN#h>eN->TQV?6LrUxU$PK+#i4G=XEweR
zJD8<Bw}j5#6rO(%3%5&WE==6d#;?6(Z#qW|!P}|}cfPT3>$F;5*8~d%@p4qnU@^R@
z{HAk#ECd@Z4zmelVO@Lna$=<z8m6m<2=7>MOtg<>w=h9}c6>ltPJ%+cYk})aSV-x7
zb5~2q#BkKf>m&0en2EHXuj5$ApQ+z8e4K%U_GL;7Hc7C*M*pPc8WuhVvqrCX(lN*V
z4|8v@1bctY5bv4E0xu(`T4+JXr$3ei|7Zz<6NX<US2FSJ)D_8wXc~SCbn8~eOJKKj
zi(-=(6K8GtZ5zw=U|uurlJj8+a<VvsXQnan!zikZ6RL}P`X+TFe+fK?(l@QmXQ1ST
zo6_86R6H!qyt8eM1ZAO$4M9={euehz|2&%loeZ1hokkKYJgs9D^@@((V-=HCm^vt}
z{rNq1RE)ts^*w_gbR=v~@XNL!qvM@Il4F$^>mEmBaQ@Ix{E)bvx|M{)*M}Z2J}gEi
z@q<ZV91S-Pal%&=5)sy!Ls>5sBkE7*TunL+g|`on@0&%0Me(NdM~5wO*f+UmaiAWI
z#hWwZlL&Zwc+ca97c5a`zb!&^MaHQuoefh>2}rZ8*#Fbf5`l}=7e5-J!t3VERp#B=
zD6W}&s8`++qv!ioT$WH_Rc614dRrT6*8kFdu81K1XGdO{OOX+#$?;~UHui+CkL7I?
zA$$GzfaB^Ee6!D--<%~I_ns*Jt{}pJd1|vK5_Hf%-!#s%R2!bLd(|zj3ej0zwNj{~
zgT^|+9<FTNg)OsAC2tbqmqzNm(%WSGFfMmC(I-IazxQ~uiV!EVa!PC6$(V5>t#DB&
z0q3kH%!=;_(1>-u1q?D=nhv`i>>%KkqqEKy9|4r!OkeNzgM|8*4|+$|6XCrq=jAk}
z0F1^bcE9UM5UG84{LoH>*^^prRtq1wXRkD_sU+cF*f+cF!6dNVlJ!*6_!#LaFkJJ1
zguZJ5?^<-p=-2lwW^d%<jQ_OW2d_x*v@BJKe?`XbpHP0IC*wnrOTGIr38B)hV^2=%
zpqX<pIjoNd_a$}x-#BE@o9o%_?i377PKye=!-KQ5RB_gJGENpt?vp{qWvi!D-f<p`
zoSl5UO2{yfYV;OybkXM9^HkNFhZ9T>jS~bNC@0LdD<SBi_2HUtn^y6#k+VlZD@q5`
zm+<dWWciy|o4G%Z$HR)I+bed;$?j#WzW;En?7g_(Rr{^agV(h?3nro|SiUVjY{yJG
za^<}n#`JgyKEV!P>r&A}G4GR4rNj1TTf?wyd~@ryQBpY-Vf^ujzBC5>*>{yJ40s4J
zNxM1br3=4vjfv+kGH}|w>%M}3hpt%<IJGoA+`0U7et<a>YI*xIvh8{3R7&^X_CXJv
z@CuiNyG)oWznEdQhX>cQ+wa`7r$I^Q3MJHv1?y|;9R6nV&;z@|>Jl36l~=t_uVmpr
z_IzqXBM-)}?roQ+(^3B~-^*CUMs`*Io2wdpED20EKM+fYA(y0WSICCv9INkJWcT&u
zP^^Yvh>k^jU(M6h;J~q!HRoUfA1T+B_h~sZP{ZPE+~dQ+phAyVjGO@Xy{Ph?RSY;?
zzp{2uDF<q!wVcPB1>o<bZgbXWV&YO+8he<7w*{R>c2xrGwOepu?hz(#3UZb1=<4IU
zi+sK293eJ6G`K1MfeCp_s%eI~KDOp~GoPmm(a&GFVUHOL9vRgx2Q2iVIeXkgNmYbF
zkDKl$`&clNkDnh%)5p!C6@QHPiy(bu`JwAJ3tM+Qu^AcS;B4W7#<(vc(4H!P+}Y29
ztwCA;jO!d2M0a>^+GvUCMc0b1tFuAvep1DC;^0u~j_{XNG7dC4>}fS-qw^YBEAlHF
zFZflChWcXI4kWIW3fRb?Zc>f)Wutk(Ebn%t7=KG1=X&$lcy1cW@N8w_JY78T^R*bR
zSDDQseKvOJ4Lr{j%hr#wQHrNXV2-8hs+HN`Zrm&&Br&mdc*PE{^%59u?IQ-au<(Q(
zp7ptv0pekmj`E`tRJ65)d^^v=L2KrZH7o`erIGGWxhTQzGz%wfXBOU0pYl9?I~`jd
zYt<{4OOWp8(62g;h5q=RL!XLhup111^763+XU&|`b&Huu^LljK=BplF2hc-HDkZoT
zwc<jhjVx#Hb{r-p=%R}B<NDI85`=kF{EFygU~2&V_!}t|{Dz)|(i1YCM;v)N62QP!
zy$h*3r%;e<Yb7|mQ-T#9n_Ft+7>KeM?-}YLBh%mfr?yb`{q}1Q#KzHaqjA^y$DJfx
zRJ&RE|6FUiRMYxEi;mP|e$hc=M7-^`PuhK7j1TGW-gIZu(CH$-Y;YbCfhGUR`Ro-V
z!z;?y#)O8ow;E03juOBR%Nm|KTa0(cx|L4hdgxYkUPT<y2Di?yZS`AA%<>=KFD%eS
zlIt$1N~|`<Df8X9k(T)L(zc8IfeNio4IJibV{~Kqt{g*4Y_E9zC7n*ifsOk^cmLDE
zn}<bSyBb88tj1B++D$?Jw7%vu?OMRSk%dk{BHW67ubtDNgIb%Xzwb6{;g0JRu?|&)
zn~G}g239(lpZR<+;;R-+$FdC9R0;9uU-1T;N-|E-rB1m7Z8WYcRZ8;`V*Gslu|#_^
zj)pqU`RbsJN4F1N-m4)*-={Ba3uK&ZN;)Ot<!d9%|H9Rs_XQZ*`o{HC0SWSQHH&vo
zCjd?P+TV5xz+H6jd-g68@_wYK6dWetsEdH?PZ1#X)?2RYQWAE|A)FbTMnt96@w=Pq
z`EbwE(=9P0VfXK|$j&7qD*pkW6wSx`ah+oajY!DclBv*TLxP*n<&~<7`0%ju-Vwzk
zA-zh$j-W_}wVAm?ip(dsidCA9tR=xr&Mh{zh757&Cn2?lhrv>2g(#AQ(y^F<hi7!4
z#{6j{FY{qyzU_Yd3KC{iR+s$^qrl_HHoZa*9v=KsY4@8!#v6gS_K+79Yq;|$VU|2h
zG91}G-<u4sw*8q5H(i`{aTT|acsOooGH%pFM)u(99v2Ti?DwwrGW*AckrKt@!&)6w
z=k@>U<kL_@C*5uD<zk=Nw!Q~#I#_-(dYMfX4PuAFkTtDb2s01X@b^+so;*6&!j6tx
ztfZS?-f_{i#N8#HOhxq8_Ja>Q=wR#^+Bi)%U%o>5%|HzmvrB`<CS?DEQ?4B~s(oBU
zm<B}o9MQ#jy||W#N=!ITeb6M7<Kc$Y57Xb)dWc9PD?UEOgze4WmMyZppbT4`<xHpH
z1WB?k)_{fhHQ8?T<vi?-<4`9D({OOcwgB%NEEMZB-)HaVA!<|{T;4^4{IgoS3?UoL
zTXi|TB|Hq7f6m|IK!-JzMPin+@lx$%!^#O+k9ZKXk@lDl@49U%y>mEd)KqL&Ud@M-
z?zFaZTn2u2-pj8{;UL89`1eZ}_*ggXhvA)E2F4z0z1jVPgEdh`ohOt92wAJjpsF+R
z-pYMujYuCmza=E~`3dkkuu9?<!UU5N>r)t@kL;k+aoHaPFdMn?Mx#~6dF$g_jZ^h8
zav=SF=o%sXE;RnU&Sycx^T4sp9DOu6o;f>OBLqLhq3of|V~akAeYumak0pm1RQ4|t
zfgh`6{_-^o(-jjm&jss)JNDGv<h}@FLHj9TGH(0zg`FN2>mzQ+Gn~V<gu=BQn~yAH
zV|U&Y<<UObzMim^ye?W|LWh>{ej6J~WlDL`2RYF6wO{>@D8@Y7(H9w^Y%C7U{iG$w
zfrE#G>Bs>wlr~QDHj7~6Kcx@J#XDu^X<av%(kjLV+zmkx8*d&(z8ieRg5KfrM3_mi
zsVZ*hp)(uC+vUPO&SGJWRqeg(y%J<*C$=b9u;KJBozZ5`g!?%`f5{aI6r=0}C&yXv
zpOa!56wiQ5V57sc_Yz#we%-xR=J`VYwr{H+&=Hzt_b&9eMAn->9q`!3!l9Fe8~*;L
zq3!8(-*QDM`Ym3*q)(Ogny;D-ugqu&Yjmn^`u}*%{BZU2OdK>jf3Ww1E@;e^7uWug
z;OFrVULEt8m~{2zbCw?!4YZZ-hgv0gAOF5><vj+54+Z@EBI~LBMS|+0+Y&6A%W5Vs
zWZ>}4_p83WCF9xU_^RY1vfuMLdh>MIyIRmW_+aoR3Co>7pMGsEf$``8rFTo|a9=r0
z`gl#onMV<U=apsqZ8dZy)X;F$)2^(ojsT^ReqD1J=ZB9hqOMp)gV%V0*#;TMEW&&2
zOMJxe>WE)>>XIH*S9?#Mvr`*R3tOMt%I<6G_FX^os&w&fo9q31pS56Fc|bCw+!Czp
z^RHXGsWAQ<;-V3y1*-SFjsZ7IIBZ`%tV)pinEs|GLlP~7EuQN2PQel}k8iBI;XuKt
z$)%MOnp((P-A6p1D?(}D155QB9ptD)jowkz0zudJjOr4ZZ<H*3tShgBic=<Lmu70A
zg(FC+>K4M=GbK1RfDC(aLV?p<E!5`6t=}FkM5g!Gxr)C?Xt#bL_1d8YdxatWSR)~F
z@;6JWVo6x_UOC~|EiDvX)io=s7eL?MTdFiq=G#lA_nngEf>O`h>(;>nwCp>3`C~s3
z(X%%xhsSAS-KBBWcMJjko?K9GUqXa?q+{O7Sp<v>%{h8s#&hNPzrRJPMA+SEjWf$9
z;AO-vJ<mu!I=<ad35X`5<CBA-?`k4kr_Gqm<MYu_{(Npl91;J`xv#!iiG(v|Cwu-I
z<e|mAucRZBh<R61{5+qNpxU)Z*j&s*XxCTGgeOFd1_c%V&6M?t(j1kby*!9kC~EDQ
zAY#F13)`qeI`|d;-?JLXyjP-Og=Hj+RXvmj22c?6!Tp_h77wN2%3euXB<y-O&5<s9
zhkpW6O9Y>}*f<vHucS)Gt0aD4U9gO!Gdd`SkGZIFHD5jFFd3elGR@3*J!EAsiQRvR
zixXF>o#LkHVDWVIdy5=s=wH;EckUDyYrio2le2YjixIji?=ub2&+N#P6S$C@_h!Mx
zWfa)Gd=ho@03COqCjU^2=i*OSz(4g-3O;pwi%1|bpb*UpvN*xTp=T%l{wbwmd;U~S
z)=dV!CUyJ1%;tht^6Z1#VO?zh?Vl&IV*;^x1-Q=z@w@*qlMQ;9BDRt9`oaXu_gzoT
zM=ox)+uV)Pp`qmY_QkWJSV$<?q*@?5htrV;H-rf^RDRCRav`x{N8n_Stl**Dx3=f4
zJROe`{K$?M*jU+~+E<alL(!3bqH8D}zgqGXtBg7D@vzwOu7!tpCBG+?{iI`tgY?{*
z3mjzBt=%(d&WGuyrHd}@WFY3=9cH?wK8|&j4ke`UaV@$mxv7JJoBbhIsJrzs^i=fX
zm(1sFjyid~T+2k?;gnwQd-|w2U7O4c5THnLg_UX*6AD(g^UR0zQR@~unf^t9&GjmB
zy@o7w9vCll)HFckh4U?oWIprinoG-*SQbXs9ho(iVu0@T9<_h_g*e&nv{A8xg+$%2
zkG@Pbz_g0PXIyuQaQW`93RRhJn|EB<I=fXLGk*S)4;U0-_UH17&0cI=`}E>?<Vk%v
z>`niz6kv%6&DLA_=`#P$h*8--UmrDh;t0K8Ezz4D`}Rp08$qjUhsJMn5Ewb#qi?Gi
z`Nux)e*c_}9`c_N9X1DP?N`l*>%`c2#PPuLS~dbs=^t4T#zwih+9dj13GT)0JYRoT
z#{cVTbB|Q9P*`-O=wXxuXEwi5KXjUnbN+jicaJh**g5lE)N=`9uUC9}zJrb4J;t8h
z223P2$Io<EkRqq)YqFmK8`A1Usr{=N*cZOQxZGHZmhh9`558l;<@O=xgg`p7jmrbq
zFP1_$Il6pZC<{uro>|{Ym%ZoPJ1bVLlH%Eo^oAI97AhN-j!luh{}=-@PkWgZhO<J2
zP3M?MZF2wO^^=NE#+|v|^QG`vb?Y>T&4mBkx%XK96wF>!ooqczilR*-C$}61*5wad
zR!)_9t6S^ZrjHUlzF3(UuE&7po4iMrGA|1+sL<b7AoKs>j%9AAWW6`+fnCliA`+`r
z{TSOMI3yJnwyDvv@$9VD;UoekSNo;Kk|ppj%$u7h>(8_0zx?&Ssts1T3#03a7;QvP
zoh4If5WGo_nEFEte`Y-TzIT@xpQHC;k(wSZJajn5U8{wK|IO?6R~O@}kDB-sMHlY0
z?@nLdX`-=6DdI=5CG^+*XMTuFMWg*c`}#0Vq&7!M|E{uxIC|Hfj?EM##w9n|S!tq_
zRqGqrC&GIFRo}c*br9UOZABGb6Or_o8N4VF68g1PFYO>>JuBpbFI5xU)LVil^h6lm
zb85Mbn2cMaq0{o_X~J)AMRahP5ZcLkNxFq3uv|_P>bGd(w2Hct<$56wXltl*Oh|a2
zSdr_OEnD|hfKlTw0sgyxVl1nQi1wp%?M=osae3byPF1P^S8h*=z2r?q)^0P?#_d{I
zv)m~pR3yMpszg&Vn+U0PkHI=wuH{~95qp2+<E-tPed50a7)QJAtJ$ZGwH=2T|Kj=R
z93|w3wh+*hYkFiGg#f1oW-C)feB8O7x$NFc0<89@_#Ket>^95EgQ;J6$eQZ1?_M(j
z)vUz-4ki)dpEp+Hktg%aK=C=V-?IFO6HV)OC&9BlaLLxKJgC`6u6WEMLh*W8vc(cI
z=&tRF!)zYb_hgwHx)Wi0<45=}3mp(bW^OwCm5X%hA18&IL<~PNrx(npz)HU(G~^x^
zTT2xe{?R7kBO@j0o`i~k6it&QGOjAMzFeOjL&BDj<YzICy0ADjSAT;a7bW@5$J3{g
zQGLmIzBEJ++xHbOG;rYJc52BS&vRt#y85Vb*IF7f+o~H47s&klDzhO{*0VmoNTQ^D
zr{T)`ys#!77js>=KeHdy!R;80`_0Gc&`fzBT*&3(l1BJ5Mll7?>Js%<n=|m9l(Cj1
z<>FD3`<QMR6-PSvEo^CGz-`T?uZebC)C!MXw{g&g-}SX``3IRO9_zWb*O!YcOKn=B
z`Fc=4R7&q;voQQ8S(%f<1=YE~s7#%PnO2vjdetl(QP1uB_>_x*l-14)kI`_vINSV}
zCmZb>6tBNi;-UD^gVI42I*JCGU3fD8R9ENDQ@7>GcpqX?9!rPQt8XLw6FImgZd$NA
zhlfpvk2Hm-GT^k0&N0`J@qFJyW}!SE6q<$c>o^8d?rR$rMC)UNwap|;A3kD^>>qYi
zVM1J&YC;^)2Yo!;!lhm2|J&)zT~SO}H3`EXhz$^*+y7BxlK{D2l*4>vTvHsfHdYQc
z!0F+-ELEA$pI^K=F2Re1s!1;5s5ArUPHY~(;VDFb3!zNDL6&FauZ+2w2FUux^A`*W
zVK(JQ;XfJAvwkYy439OyXM;6<QIR673+eK@zn_gG=?NYo>kP1M<<q-s)GTpl;Uv|w
z_u2TdnnC=eWPs`UL1UJuEx`?|o5lLUhK+<UYL%vsP`MuEXEZSi{2WSWX>jl~=)*+s
zOnvbF4k{#`6{ELN%=Bk+@GUISSk8w7rAMPpe02$4#j^sl=o~z1^X}h%osC;6Cc7{1
zlYslyzh}#I4(dN9W?t!LL5_K<oAyfP$$LK$YP;EZe>84VrwR+RW4pgmsZvZinl|op
znGGLtOyv%i?EIdV^D`W!xH<YL$iRb*u+eYdU-B4G6|TB6>3|ewrn<?ZX>44--qeu0
zT;|0blLTgp6q}18DCW5=B=0)=+<Y?)1NUYHB14MTU(JPWb6I$O*LBUnpf2QCW<JCJ
zN#T90+SuX-6U4A(x9Y`IaDx7EO@pPlf31maZ^DG;t+S>-&g)>%NL56#m4f!(#@^{X
z11Fk4jg4@~czk`JTvbOl-)PQAfI0)Mv*O8~wM2xiT$dLj>m6<3*LPh$NQYdrs&>pN
z0utspR(2)I@-A+xjoddHf-g}F3u3fk$83*$W+{RE`oqfvTWEOYd$f|1rG+_8uQs3k
zD8}j}lI`DIJ@|2E=A3KO#Il^izjq_Wh%1mB4N29-JQed8qKwaL4ZBCZb;Y>!Pdz>8
zBo&dytN_*%4ZJ+~M)2;IC4NMS7&FdOa57Tbr@Tu8M%ChKRU1pJHx0@jy|05-wTus~
zTn*GX#;5%05XpL>b#e9p8Okn|C-Ny8XozuD+p|{$Ppi-u1XD7WdDl7m>uR7bxg<`i
zD#C!atqbii2^~LLR;?9kph8VYV^Wq7r|<M}mJAS4OBlU)%vS@p$|ml%d?CVzDjzm`
z5%In2LUlx`2Ey`Ye!I~izyhMvAEj{ucAU}bt|V#V8AqeEz(;`66v~3?Yyvh;{BE6|
zpox;I?wOg>1o&la{BX(^0{)x5G-ZvJ7Vd8PJ$dpKKAy<U6eXDuP`o81u<)|%JXbT%
znLF^26m2wWpiY3+JmRVi8?@2JfBhv**6a0yj`T)MCE!B2m~u~(fVk?%*OD&tke{;4
zXQk}(d}Y@n$94jC_JzwGbmPIAUg~T<Pc|<>DZI3dhzzekkq>ov@HHIz+UZ8X=U~N`
zQF$bY%U<U^de22iZ*YM^9s!-fS9Dxtp5JS<eBYOIT-<D(?JFH6pgB(SW>3Bj%*Dri
z^LEPkyw2{p$c+de<KMl7<rLhRd%Ds?!bR#UiprVyM7$cYT+R7JMeo@+1zAKcJ~)Ne
zPm<+LakqtMu9hB*X}3+^j96gvhQSs8#z~m8sd{DZY#PG5rk*|2Wr4Q}HABRFGQ129
zFCVL=VSiKqzBx@6sO}S*K62FoX`N;|Gl-7wa})a3zp+4@Z;Y+8Aq4@}^#&pq1OEd6
z0RR6Kn0Yu<@BfF(UiKMdA7+@v*u$8yzm%nHm5NA~Qd!EDA}yArsJ@mWSxX{9QXxf%
zNNFQPwl;l2DoV8d=J)Tpu5+GqJ?DDv`+lEh?bA^y!)#FPoA{KMl5y)1Ws`od8eUqL
z@UNO-!yzC*g7lt@&q;~T>W--+b;qSozeJ5;zUq5}&Px?sx0^O!&7r~J09QxN$QbYT
zfBGx)OchUl1PaMc(2z2=Azv!M7<HkJ6XYNYYTOmXrO(jurATb~vMa{eMogdoFhfBH
zef04=E(0IK`wwZ)8H3OK#D`7MRBX5@*81xu1AQ}jH4#o6B<|FoH{er)TWI0aq+Lu9
z&R<cySj~Zg8ONP`N)1U#{@%%-m{?)M?6RhCad@e3+({XA80Kwj|FlH|Tkhm7=Hzfu
zHS@p2-RITecf`Z?biD=)BXpmYs+b^;b#1q_A`RVgyP|^rXkZ~{bQSTc395YZ6NAps
zVDaTc!c8U%#Yvl0j4e%(V8ZPf<fmgt!mo}+BNlGIbp21h&lC<6*)2YSbbLA$ySP@J
zg^|OZ*)d^em}x(__FoGfaRwFwp<gwy_xCgZ*UQZjA>HrzT9ko>@GU2Y3N*0f^5l3%
zkvaAd$^vX`8L+$dwrf#K1N`pWMuv<mU{$AT*tVO2K~26QY7P^DcFObfO%@1Sd$gJp
z&%oj;_rT0a25!dmtg*AS#Hec!?G^8O_m7vxN7NaJkGpQ^TWtyYCvLD)2m_z3UtQ|5
zrQ>XFr>-H<3h#cKO<lHQpyD3$mXJFQPKWI7k#<<&VpvM_Zr*$TSM_yP!%H2pbE=H~
zVk^{@&GlwB(&56kc<te-h7SQ}SRK!;aH1%Ra>SbskH-`18{DYa=6)%xcG3!R#uc@L
zGc=rRCEe9=qX3>_CuY7`q4pc=MA=>%HiUM?xi_dF<-zlttdCZh$>CR3nNo*vOVnTP
zs4@s?Dl4KMTcMTwE&ucub;wjp-i@a!A+b&2hW<q>eE2o`$FofhF+&WNOOgT<B8JFg
zyR7h_a=7@Nh8iwbzmeV~Ess|@O9i#ntngG%(kSvI6(XL>Zi{WQ`0-|?bNh2kSOw~+
zt@upAfNi8uSP==+H*DJ6qb+&sC5Fmwpx~&Jg1~s044P}ND;|-v#OB1XKYdZEsGR6X
zx-dw@-6)#l?P?2r+`9T%>_!!=Y>UeBG$bNFK~68&)&e`y9#8jJl93ai<-f9qfZ?ka
zJw1KqaGP6rEMcMy52eH{=9>u6C@K|@-f0fi&M&Y2*(f1njc_KPA^}Gt6HltnnPLCz
zGgE@UB4RT>sjm7fjhvCp^x=3jY;>^=b~~ql6<qt}_5Y;NN-%5_momfMja}2HM&)r|
zST@;2nSg5tH}!iKnqrUdgU}Tg@>o|!?CDxhKz^MGeT%*+9(o83AFGywMC8c!q5=Y3
zuDP3@y>9}vMf}M#kwg7<L4Vz)MD(|3=^pVgL9V0n2LAzBT#-5Vi4;x5&SIm6q;FjG
zZd4blJSB^)y5t59pA3}i-uxw|axrm?de6{J7VEB736&PeVCDCt0>|~ZSpK5Yr_@Lm
zV_;R5IFWEK*<jkDmjjCO<ug@GS$O_>WqnCh7Hht`e#kt`!Gqysiz!`M&{Q@swTEO;
zcyaFalokh1t`Xb$9AvT6_UzbXgB&)k{kK>&YK(sJ{`FbWvN-lV>_%a^JoG33eNj4Z
zjJ2$U1?L7?v|bJ@mMB-ieQ!~T=FP?kZ4sO8k&uI)gy_S6^@?b@X-oT~Vhs9{-4A>B
z$wBQ&_j|p5CGf9W#kQYfgOu^|!k^D_NIq=7+D?Fs#@eP~`4%?PNPZ~`2jp?i)agm5
zl?sxor6OnZ*{CB9ecB_dfbH%JQj*E4NN_sd>3x)q?$rOjf4{GQ9qqXuIiVDs<hn$B
z4Cirs+XE|df+9>VNk$%{P+{`dI#n%*jfHdPf;`qKq0Ks_DzT3Wvt+eb7k9Jqv+(%>
zpRO`?Dm4Wcrl~>0xOisq02`;a)q6WDlEL&>T6)o$$N9dDTTK~k>@mB%)lx<Uv#H(x
zlNO_)Mm+h#zB)E;sMr54R#e4}4I-_2T{PHAy&OINk&Q-4ZK{YY1%Ho)lc$c+A))HM
zCXHc?jCC}^_Dd9m?=4OGV9r3IGfV73xG~%q24}V!QK5Lie?DZ2fw#<N{P)lpeo^a-
z+dHUO|D@P1C7lV~hl1&zdK_Hm$R?P2sX=z>L%!b{8hGl^>sfM<gUV9h^IBij@IGkT
z%I%s4dKLGKb9nq$?atZxDqbCDDdqxFR2D)Q6`NS)T!efzuiGq11D*Cet0;zrx4VWb
z%`8n2Q~RJkJBx;mQ`fdt*0az*?iT!f&;)<-Qt7)%bPSys^-vvP;XvO&%=BSXR8*Y3
zk(o>f+s@|m_C6MfXFsmt(9Lkm<=EB!FLV?s-@Tu9odv&e_i2GAW{`GIuohawKydhl
z*t7r^!lJny!TZb+Qjj*Ql*Yh`yFbs`{n9|R@Jy_`yag%;jt;xDG0><^A1@8kK+E}6
zyGw3ZVA=YMSLyE<*t_yjL|Z)*o{v**ud(5A-lDNA<ue0@v0`)gJ~H4pR4%ov!xAx%
za&`^9Vc_5S$K!Q>=@1Qj|1H|o3a?v>&&)P6AXj$!V)j28GK3HP3d*%YPkS(*K{5jl
z(gWG=zNo{E=yUiQkHg9X2RB6VzTY07)BnN;)Ubbt$J!Dpz+!Ekp~`DI&-WA#{Vo+x
zbmx|asR4RIjZda|9t;}gE33Rnfw*h?*~ctEAf`4}_#+KHqPz4nl~vJ3&2J+yf%Keo
zo#&fr=zFq`%oQgi`tU9Gup&T`B~K4GsUt4Nx=nzrgsMw_y~YFq>Ee!rK4l*NTe3wI
zT@`Q|vsUvw?-UF~8E)UF2A}fruo)h=p7}0MF-x(+n3t-k{39wd`jyoJ%w-`x9Lzdk
zY=uJmUpxGH=jV)iUG2~BGI-Fua3X8K63ZnwX(vTdpzZBn_iC7k#<fFVcSKmihG<f|
z^s*{SSdUsTOTd@@+*dh*miXaU@2S621wJBs%yW$h_+Yo7cmIq9ucH(t^4Mg2x$JlD
zL7_BuJ9SZPR4gE8XT9nHNf}GaA3LuykOtR}o$pa%j(hyk{WnCEurT*^(f2<o{0Qm)
zDW_wOEUz+!ACijj7L0nZtyK!UoL|g_+%SVg@K*6!Z3UduWvb^jNa0FST#=5c8B$C%
z{xti@BRukyXVOzCoR`_wEYxa>w_5_UGRx#psGL*r^sf}Q5kwR+9ZfMdtN0~sxg4xM
zY@6}7lZH;+n#Vr<CYTF7B(Noc=S8QF7xx!SL#@Sj&BzWD2r&2C8%WEdM~1LDMvj1w
z*)r1y=eclAPNdY<k}x@U!->W7MemOm%iL33?AR8<NQ)pLtjM6_5Qhla$oj5qIu|aD
z8sc6yB#<_f#;?2~!aI4PxVx1DH}O-es<cROZ1$CtE#!GtOC&GdpMwbJ1bYPy67Gat
z`0lZr1j~1S85W`(&=`;Jt}r1%k~k`^$K$;NBTQba&KT!*No`8^<~?V7kH>DV9M;}@
zL2lr6Y3B!v?16J6>=jro@!MD)e}qb;Tqwr4!=28#_Kt-7R)fLkwhH+1$X#ju2pfO-
zKUTKe$RZ@3KX#1g+nD#h)kc@taQSyv;#r+69*i9=l{l+}tu5j%5ut1-UT(=hZXpM^
zt@}nadz7L1>aW15RczepKALm+r5p}A9!eUas$fIF`5G|_8%&o^{-d$-D5<&BP#CL<
ztG@z=jtjEUlaOyUZl-{P&te6i@1tN$^{43hIV0Q=-6FMmnIc4qCnUBTP(k@QbK%Xj
z5e}wUkaH#!vCko0vu%zF_FughqTh^QekAdcWuFq_>^BF`-%*3$tB3uKOWBw_JGy6I
zuQECUPh7i`q>dVC<3ELDHp0x3Egi?nFl3mGC2XMK+fJb<S35RTmTbF~_DcolCft?<
zQRv{SdDOG(5F0-tHCIkZQE=yztAODo9rW`DC%u~4$Vl{bC6`g~&G}<4t}`(3WY?-x
zf-%JZr^oMZOU3@(31(TLJOI=*EUegTjB7g@yPe-rp-&6&d99{_Y>%P6)^Chal!2ba
zL^TwgJ0lX@p#ir~yR7#6aB$Fjot8aK9XC4f`fu@I;a;IwFXs~n^upfVS6bB3c$hEu
zVlNBpl$W#8;<<R*(Jperlh>a+_>A<}nmGQy&l{*T6ENrX`Ld^Y{4r7=Bu8mtC&eXK
z<(Ua8%<hHm+DC_VZ<X<QmL}@f#Kb!sHN}&@Tff7;(eaGmJmqk@CZ5draewj7omYzM
zdL2IoEH{(~-}BeRx`*>c3|^<L?&z7&xW|C`rT5FiBsFm`#x7?6RdcxHRro6}XJVNM
zy&x`~g;Y+0um4sHL>paI6ao`VMlP2#r+EEuzW<h&kR@yn`iQLZVL~n6-(!-hfvWX>
z|K1l_qBdS_$K{<&bhf-7%rs`AYR`p{hk91Xc)00#(k3SUxyXDV=rOQgqwS|zxfK%Q
zk45!rF+nzHr*Ng|h?(7*`$rhK^ssoG_=$n?$>%+X-m1fFOq+B|57=fm`=3ub12r*Y
z+e<6d@UL~&;E5x!$@1IeR^D8}*Yv_LdM_2)f73o|c>yMihl$!nbeynMEAp_UppUX~
zm!Kc;l^VUuL5dCmi{8^5h6?V+{rNTI38e1XyDv73hA-zkg5#%^@F-<`bdLjY^krp!
zW4k)`EhYuj4JzPy5~ZO;AGkU=zg&o@j?V`Je+kXWVM+YJt5gYImJ-5e*KSb*Q%67g
zs)a0q_*F_1x~#D7hyYzcqQCb3h>KJZcOILTYLG#L(url|!Bz;q{%)M`k%Gv*R5{Tg
zBH|k&bn5x6&>LZsdu{~<@yP|=^3DXP*-u1PrCVY!R8rS!i7GZ2*jASLN#kGCG;zD4
zC9=-0R{UK~M&8o}?ZC@Ys2AIE{9u6vHtI~2?cJ#iis6oH2T4*`a-{oHkg5f$Vto&)
zvX!7Yv0ONEt0XE;JFnbZU=H#-ldYfSd0n?iyxTG)f%ruC-Yd%HD4&VGzmBK?{?8-C
zkU|OMBy~Ujkz)qB!ho4QT^_pgN2)g#NkE(MHHoHZhLb9Jufo^LK`Ef<aOa2w#1#Dn
zhH^~Nr>NPknjwqC?lq-VYbD`5vc<fdY>Hb4Vx7IGNoZC3*>U=dBz{dk6PLJTf{&Mk
zg@ye{_$t@%>Y=w3u6^HMAE9LeD!*p=<0%<bHJ0*qy^=z(-;EdCIxae7E*`Z@lR*S~
zuy{#;Gy-O}-mACcqUO^^zeNWbEL|r;2^S$iZu4-Z?H~sNFG_y;E6d<b4spe{1_Deh
ztqt`fI5@hd^63%*8QiyiX6tsCh>r8?PjyOgkndXG;J8!<u|#`q{`I{3SijHtRvSa8
zEQbFPQ3jhQE;y`VlMtwW<D9d*F$(0^>m<x%aQETSy_%Y`0J)_3KYn9)*3S7{-!FsZ
z#b-7(>&c<!NYdrZS~kL8%vX9nkU;>eXs>~tJT!lNJan7K^S9q<%iCEb%;x7FyShgK
zZ=*eI9_aD9{X(H$`2`ZZ-#N*<lqkaL+`t{<c_R#GZ{FI=TW__-8#9eBO1R-(qM!D_
z2wj)`W~4f0A$n<Ag5gNU&9b*5+Y5}asoG*zCt42szuf)7SEquHZwr4p#2P`GJy1Dk
zDvwC|(QA1M6a>tA41NwY!abK)!s=2A_)|;XA3aJz+3x9w|GbT0eP`Rt?ehxQb2;bC
zz6vV7Y&_e-@iD@L;Qg<*Ulh?A6BbYxtA=0MXI0&Ujd1;nr=G#068uu1QWZAy`2T@L
zrY0I;WaC#2Ul}sI95g%CjA)pkL`}Gr8{yFo8&a2r3XVxHT>H!8hT34H`t=bb$jNsN
zsP0q6u=RG~uo*g}{K;kgR5rXDO9s8XD6qPIHTuy*1`O7+*1JctQF^a9-IkvUuOlRd
z*?cD0gosC(eQb#6?r;#TqN4cRqO5y>1{`Hp=igs#jE>vf(<^xA`dH?}w%;@sI5L+n
zJnk}v&d+84TNF`;X-`!7>8C8*akehC_u{}Ix99$jTk6mvMo`1HYvROK3-g`7IdHj8
zIkdu?hL8bz=BFV|EPVa>`h6L1K21NMHMWEfUFZ4x>y5N<eMr$mV7m!2Mdj(OIds&H
z{ak4spoQ<-Q&%6LoAUbMyS@O6f$QZ|rPq74@SiFvYyW3cm~D$xzkh{+7qskp>5W>5
zx+gzzy}=BoY5okF922xz>F#kMEeP{fDMu%nW6jdQ{;+T+j#PCgW}noAqj54GIa|PF
zWLp>e78A1_#;<?9Vd3ZH<i%t$OJoS1+~+sO#OHob*X@!lTuR>PT+n2R<l+LB-&ZDL
zGC18gWi-$_ND$ZewZedR!x@taCQ9zC<=XsYz{;^SwQt%A<@@)9XSXn+ndLE@)lA3O
zkhj-11K<zyM8R+z6Z<c`RFT|AgRv+nVjqv&RDY*nMFta7ZB5%xkk#?}_5PA$M|m9H
zTTd3g!9Y@AqR4a$73WR}=KEv=lP`4-&G7bzH4$0zERce>2YWJ%F96A{-b&f0>4+7|
z?bYL|fG>G)DmxdD7dYOgGEPH1Vd`RFqY~-^gMRv)1XSJ`r4KM^@U6%f{IOdBcl&dO
z^1=Yh&>AQG9qO=|j?PhVkwe;3@t28CKrq4B^?05d_Ph<5y1RpfC2o<a-W0&&&etNv
z=TwAbP3}5ZOT-iM=k~XQRxs31F`X8qB5Yil6=_Yt_VkhB?}1jhZJkZ8x1hjzE=ed!
zP#WvyzN+GjCAh&2S<T;7K=a{qXjvi!lJt(ASD}`;d-B!OH%G`g`}M=vPG1R_CMgEz
zeX>C5h1WzgMP(#;p8Hus5r^Jz_(t_@7LeC*^oZ+Hg!%LyiBwZDv`Mv!Kj}9|+&4kl
z&U6JF50E9Bmx!XJl|9ksWDW;&(xuFBc^pX=tNy-4lsE5o8T@N8Lyh~U;mII55cP%+
zg>4i?8t0a*1J?}49vQa!9FawC=+oriCq&Vz;kJ8iwJ9#Yv=`N?AYpuaE464=6!SgV
z_IaA7_&`}EW;rJV-Ts*m`l(|0NbjC3DK)`xioVM_HyH>t2B_M&iz9V=9-)_M0<U{}
z&d)q2;+}`j56jgONVBkwJ9w1~<uhkYPVXcl&$V}9rH>@Eb}yfqG~hx_`_kTIA`!Z_
zd2Z6qQs|W5<R8++!NWxZJ&OSXT;n4<ul$liL7AA)8W#>sj&@Hhy-7gr(r+98YmkQB
z&+y|dybcVCTgS&OA%Oq;1;sNd1c+P3u2MZ@3|hQ-iDMP-`we+V=kh!*yvanqQqdTy
zlIzUs9}y6^RX0O@iwq`frHFT$*x22aS+@Ky0Rf*?Z-#i0;3v_%SQx;@i*+;m-q;X%
zJ%0JnKnQP+7}UPkAkW5|CpAyM77`(~XGLjOh8(g2YkT%SH3E&CmH%6U=aJGUD{DIC
zu|Y&6((<$sG(8>D`_g3~AEGWhC#4A1_~R$%U5!xoM{}hwZ+>y)TR%A(tc0uQ{ly3r
zBLq~2tUmgJ=a&cdF-5O<y-?pmwf<p<t^Zay>7>b`HCU*U?Wuy7PVJkYzBELZIPJ$8
zKRMJg!{=P4RgpW96T0`FA-W@&6?bgqL5$0KKz~Sqo5N$~w;P7gaqZ*VV4;9qYt7Z-
z#Z)lGG-b#)4e>Sb-;*|bMOc_PM`a|bp~1H*=vlKN#?LQy7WgYc`OU@`=R?)8(eroa
z%%CC0&XzTso>7JgSA19bRvHeT*k$U=Z-j2&=liN(kU<P&Zya->!|qt3H@}$?I<9@U
zdq7o1tecPI7#I-Ee-~JhV1!VreR7x;1;b0DPd?IT!tA5_ZPJht;>}e*FU(TV818k`
zREgKOeo~iS*s#&6TPeV;q+*GpxR}Xr4X8|C{btFVFZR`*Da#F1!+rhdaSlBGubg*b
z?RGZCsfQavRx{P%p1!g1K&mE&_eN=oPw{-wNzagerw+-jE7T)6TBzd~g!|=k;PjH>
z7n4te{p?+CX^R#LR&au;o?NUd-2A&?9UZPVUI$V%v@s)kT|R_i0_(Hi4t6clG3+X=
z^mL~--j2;gJ@{jSDdBsx&};^}1af0<M`=UVcTJ?=uqpIsj|pw!@$<fY+_Qb|+E{5v
zeHYYhhM;Xt?V1;vC_R$05W=sGD~}%>zJAFZesQ;Q?h9(*Z1zK^{1`2mD-hxg5-f1#
zykndBdJRleWfSf<YNDg~hlZ@XB@U+APpZdjU^<+0`Tspg=sK$PKe82;h(7kqJ)?oN
zG^5rtH#JaAZ9Yi)|NrxUf~KR7YoH?jTcFNfCMp<Ps{4(3eAZ0*y~RrdFGfobGl&et
zbtYy>Mg!kB%s;CqXkd+kN2DunpQ1$$VA)mR*8Gr3|5cv9OX8+PmDG{lcj|%iQyz!!
zFKcgOF_H6|TUeP%1u1Fa9Q_?&+OJ${mdd~<EqWb6mV)zdYnoy{0Xfvg#<)>Bl%K4L
z-?W;H7cSJ%kvG7aJnMcl6*{DU>@3-ES`p1n*L;JX0KN7eHO^~ksQVp2uMw2Tp?vPS
zh$`Om*;~X*_w#zd@}-Z&Z4z#*uBi!21pWm)KB}J0^Fn)8KdXWWwc)?5pVsrPdu*`|
zs-q&Mc{o*fTpG2{P6heO16uY1*I)Kikf@!YC$(7$RJ(HB=o%|bH3kT`|5U}T>Y%uJ
zGLL(&KJ=z*Sz*iFn{ke7RiN+E#&=dw3~JT7Z#)VtG2#42E2B;sf&Lj$ecsE#y%_qd
zo9A(ZfTzv!y#A+qN!XvJECYMVcxFMg1uRc<c4l=cAdhpxNyb_P#hGmsqqpX0=$lGf
z9wQG`T#f6g6-NKKMn<i(Ib^m6Iz6|MLzC(>u^?I)QMY!JWpA5dv(lr*+gh@a=#O;$
zepnc}HxIC67-q2lYTruMBVpmD+hxOh!uXr7KjD~ZinJHebKhNLaJuEXT`^k(i!u33
zQ(;qBw3fd9l0t;nl3<}zLn4T8y1LTlkO}%~{x&7PA>j0?u78Y*Ww=8O=WCkdBF?bo
z_L5BmaEe@x7F=46@tk7?pToG293_V2^7c1N!{X&alPLVkua3!l<-m4hW@PMfX$&j~
zb&CELgYVM%jG%oScn2@kzO<Ewzia$;Zx0DbkVD;>e~mHb*U{UpBn|7D-gebKNnQ_^
zOB_9Ej0v_-bFqjtGH-fX3*MH(_^JQK>&U$G{`gpPnW!|HPV8S*o+XWy!%hT&TWlQJ
z`gr+DnlyyQ{1%)N2~a;!k#}`H8|M^bh?DE3L0s!V-jP7W$DMQc7iNv{LT|Rk?5s5Y
z7N=*X@VHKV(s_Dio)MaVyv=|2NgDEsdq#q5NH~7X%H*Ac5h@NaMX&Mp!S%DEQrml3
z1lqdaSiOYT&)s5$2YU%nT$Y-!PFo&p|Lzx=xNC?|Rn2s(T|`t_YCUgDQovWMux^`p
zLsa(@t(WrrB3n1@+w@%#LyGf}^Uj8dkS=ZM>6F39DN5q41Ip+&{}Fpx-4O3tA+FEQ
zk&rrJ-8e;1!IatBP+@*UOnnTzB6Cm{9*w8=Zf#M8QZ9Gn$0-A(_VtZdN66v(@8pl`
zS}B-P+xDFP#sKYa%>I-fk%x+MXXiAJyXMutuGiigAUn>tVzfX3Zj<W=9~G$~?caC(
z#BT=Jkl^Si)1!zfYF2T7p*k+6?h3D#G(^`3jh8vfxF^{>n{kN-?VoqA+nXCAc&|>K
z#Xd4hf>mSqE9lU!eLTGNfFTUb$}hN#t6*((O#Q`L239RB8vp4q1Zj|-P^U}5$=Y`Z
z)-*HmTGP&6fn|h&3C@)VJYW3x^JKYBy9NesHijR`H-hCMu5w%x6|0+{^*nE8!A_(~
zu!+vbS(_E_O-`%fK(9BSSd}LH^Mb_WTG?QZIF3$jRY!&4T?4{#Eo_iH8s`;ZjPpCs
zoY&K(VL7`kJj+%asg^n1K{f}aalI?pzi5yq4<DL)qYZO8lM|+*T<p4VKJ9r69p*(Y
z6%m_taOmR>&(JSiychc6m3V}Kyy9!RS%o_AdH36(=#2>q#_qP9)L~+hlqYqfMh7b%
zTzRiMVhV31$HISIOt@yh@;!D+2a(x}H!DWW@UX08>33HR$T)5AUazTx?FvHoL`Kcw
z|H$RWl@<*&u8u3uPtnHf#hv^&URmIEzesTvkp=BlLS3F!S~z`R>Ce}lmiRva00960
z43~F2)o&EX?Y%eI`<mCaGrpfoDygK9tfC<!mCA~uA|s>qlL#r5k(DH=do^fK5sApA
zNVcT#yZ@fo^LoznI_Ei`^Le{0+P+j?PeSGE*VhNHY2keP%I8;i2$b<%QtEIefnAHb
z<BuZ=r1ofTPE+8SO7Ek{btJsr>&&10RRgcIKi*?Y0TNG*RaXg+P!e6n?_j5n+Tzex
zXFdTTx7dD@t2Gf{AeXS_nku~GJPs1vRQxiu8qKoQ#IwrRqrSb$VEHFGkgZF_@UMKO
z)Y}?}zn87$p{|7TEgva2L4{9GQ-%MuIy8CtXuZGW(X&bI#CIDiHW_5(>1e1U=O)MC
ziAQT7`>eM2f-w~mH{{n_ZBm0IlZBqkLn%~lXA|R+p`vE_ww&>9Rn#BcJ$`pq943~7
zABATCw+op8r2#5<*S<BeH$oI2!ge&CrUBu0S>jShm61v-)Sh(^hVXE32<aT4!**ch
zVyF_jyVQ>5whO>Z%b=!(3W#L<Y;HZJh|IV-<2Qx8c)sMZsyj!Z!%{p=PeuV8`)s}+
z=jR5qw<gCYPXYsSxMs9b4%RU?Zalv^z;$0-K!9$IC%%89H7~5eyG<{BwtBFGBmPg$
zyn;1y=BrP}{E)``$osj_V}r(GydL$G6?Ar%YrXT8!UZQUt){)K@Qr@ky1m;HcjvR_
z8vjV(`?l**o2OXt+d;O|#=;USotepJ%Ea-oC8lreH48#`?|vE2vVh&Ui#~_XiJ?$Q
z;aJxo3n-#-_6sX(G2czOc0ODbm18?MN0_l<zw9#4;J&pGpgnZmn=FC{y*0vKG*)zO
zJC!E(-W=^D)^?{lVFX>(JGU)_4QK4nXMJ944$GT^wZS~X_^r}kzJ4=1j=XWcx3Aa?
z`*cJ~tBwnyKIr194fY&xJN!d%Qo#(YA(L7%bAoW4sS9yCz=<vHRR+1&OtIVNL_jS?
z5QnSxyxx103&W?~>#vKOVh7J$rP3_{xV~U_QuxCS-Ov}o92q7c#cSl)*$RN<lPfV7
z#0wvRd|@s*6XcD2?_4h|fHO~4w~YSd!=IQ(QLpbBqob&!Cz4kHCpYDHo+}i9;_+#T
z6Q;(Xe#)#1Aq!ytyY*$m=0Y&$eYKt1WQ5{7XHKr35<s!D&$kPD!Vo{kA$jnC5zfc`
z++?&MfIACX?@|p#kTUvDLzlw{dlH;S4_p<*;%6VTetS_EK8ecuR&0oiXI8Z(^@I>B
zbm&NWh#1!1qU`>>(-5jUEE41bA+)>gyHH&!4i@oOZ6|pQkshe6#6cEDqrDPe$f^V;
zyB?mkdr1Mmw^!1W_reI{e!b)CekmLhDeSI|qoCg)*eEep1k$~{*A@q)!8UuIE!2?$
zkAFX8YBw_aTVhjF7PbZl=*KhElqm>h9(YoqDu!+i&*+D$a<C7zbx2(?z{~7M4u#_4
z7zvTCh!~T{+3}jK7lsWW5&kJkK~@4k1s$HB-=_$TuqI=%F9xs=Te{(DCW#hmzzEkK
zC1^KpGBoTkK-}l@=5qm3;IaMWP4!boX+i83fguCbdKNI(R!YN6Bk=5w2o-eaoKo*w
zHNal`(R&|+)*!*o*x}a|Rrq`m>zdQ1pzz#ay~{aSAZB^gq(%+<iA?WX{uEFJo_Iy`
z$zvqf->;%i9TuDeFKufnn7sS_Dbqa#=q6maOXAgpN`_~tl7b;a&!+0n6)8gDv(LpG
zLlTk+aj$?(LoDrJ`JR-ZgptD24ipzHES$<27uPak%xzgmaF8+*Q-TMT1GEt+T9@*!
z#R#`9#QMuQtKej;z}*jlI;iehrPik#<G($pvv{mj;mdh`;KO!Z><DaBxOTt<jS+8H
zbX3*wo{6VYK~fJ>1z!S8x0@pSc#!QMc6Bt>1iw5`t_Rvn^3y^mGc<>drXT;Nj>Z>x
z%pMZ@ko{~|&*W<kuHR=wtqL_T&JzFGimH!0{@MfUPOrs*(qpM5KAPA>m`4X|>Ejo3
zYf0#B3p6*0)-bV>@acJhFGsT;ioUe0-g##UVLLgWv;-2Yw=b0(R@XzPVen?sFDtxt
z3>{|qMS|e5w^{=xy6E!LXX|4laHa57@pXMIC{C(yRWj><U#R}FBO8#iXv-0>Negyk
z*UP+9v|y!0SZ$2}9v7}Iq*`i$JzYL==b$F;-?z#-@(mD6oIB~xu7wnrqqCuc8VD~`
z&E9E1g}R15vA=+XXSpvL2?aImYT9mg;0P5Dp7=dVktbnQW3TF*q6+?IHXdrfPQ}*A
zV`;s|G{HA&9-FVMgoG0|epTgET-3{8^JCP<ZfTZC@s$T#R9$y_B^6IHX?F83)bV0r
z+b!L48JwMQiY?8jV(oOZL-%VnaLB)Cl7=J<8*j*KouT4Av+(bGPgUV@C$7s|K@1bi
z>F1+&Fy3i+Ev5gi3Ou*III80+48sAY@g*rnyj*5e^95xr9Gd?e{*fOq5(IAiYy%?x
z`#H4Xs1jOYTIc49xB-r+yWxqzVBS&7{9THet8XdEH0FT&SYdsN8PHRXB!$cJ2r;@)
z*RY=zE>V(fm5l_FG?(vNC&*$o)n{%-ml+$Kk}k(d6Yw;&z7d%rgO7d2aetOqh;{tw
zDgy_tp|?LYJmRGk78)L;hh6$d1XXWIxc<lrm+SI7-U>^i;4IUwTT4rX#Z;k~6sHyT
zebm3r9V?D8Bj34b=_NwskWE3Ln<dl}rOz{ois9n7%6|!Me~5;iChp!P7FZ#lJn_C!
zgrN(@i^gJ0#7md9(HK?>1lsUi=gt+z^CoJ)_{$}t<}vZp%zG{BZeBgnn;`@-=4Gp{
z*1yEg&K&8cI&;MQcrClvR}fFclY>ks%f#$t+d6**bA*1n(B%1vA6<#kA4@*35T8Xa
zr0U0;LC5{g!RFI^SeW+Od(VRj?D_|O8BUu*O(s+B**;zv^%D#A2bgi5dpIa=k12*d
zTQV(A^Dz8I^^ILgEMS+Bb|JT!pzFfV-$$Fc!L(;Ap7#|iLbh7uVzUYQMvz!#&ka_;
zun7wZcHC6YdH3SAF@C;{#ML=2q)voy{};^xricWOxAw;HRUSR`<1H6L&zyWX`;QZb
zO=tQ1KNunG{_^1#Mto9lxX%6xH}WfnXCCh|LbbKwXx$7K%=WscU$NuG_r}%4p6`Z;
z(dQoxqH=?+io*3qgddJ^?(hCa8Ny+-F=6f@H`GH_p6aX!AcHH)-A=*~(zmSjY8-iB
zKim39HBJcArnC=pRTS*}<6jymz>5t<?*C0?3&YRDS8LlY3bcN|OcR{p#d@w>>NKNo
z(~Cb37qL>XbY5uB#1bDWT#MLBImN*FhA(=5l>uBWmQ^m31hDkVU+0mRI9_MfanA)B
zU?Oq&Me`{^{1;l^c;lS}Bu=LFe$_HS=bJ6cEzykr*5&2?*e-=B&mWdG(`3k9=6s&N
zO&FQ-_uui&OT+7qox5c{8O-zqzC<$-xF;tYJ3m;1`sTJ3<LhL&S&mIunTVoshp<Ci
zsvPPJxjECL$x!%UNsZYghK0OhVW$KIC|~uda1J7)*Zz(ZPpCMGtUC7!eN=>{$C_hh
zeq`wE%GZv6EP;%wRaLfeC7k^IVP)b78F%JgcAOTM0w2}QAwf(9*_}(=F^OatKiv`H
zlq3xi(uVUz4yx$SS#LRCNrumg?SG<DYd{+Ox@kC74eQSrr!4*=BW&qY+39Dpu;lw@
z&D5=q5{eLIBVhpNl(#ycqvWBQEpq3Vz9y<A<b(<f3?LJF;rlmDMO;}4i@P7s(6jCD
zO50Q@ut@wyPM1@HQ}~$>)vsDG4ID_@^MryOKf~^^tWm~O;w*_@LkF9$zthM$WQeQ!
z&x}kIRPanhDtOda7rNz8Ic8ymy{D!hU)4~>So$p%rg%N@Tv(H!rDhC&*Rv;nkk!!m
zrhMO}czvuGX(vF-1OfkLhB}(6gM+pyibI!-eD3f|I`*dE;o&p0GSPq@kIj!~kz|Pb
zoFwa?HpAe6dt8d9CVbV>_ln;o<2uI|3+>nD@UrDOcY})r%P@&X&HH5N?N~W>S>6I`
ztb!UNKa#-RvC)f#QD32Jimy(bv_$-tAGeevwNS2{lg4F6M&T8a#p2Ian7Hxj%EwhL
zZ2qy>^*%%&JT28J#u@~6T*hNpPi>gS4tdqd>H*He8r=rKRk5jx@MLXpKa84teq0B*
z5%46n9th&e*CUd&(ZJ>I$sf<yR}y<gZ&*{IBHc4=zEc~)a*2xmyEVbVKX{<JfQrb^
z<#TstwD5%D_MH$>XZVoVLl@?#;96W$8{w@5&ov97_7y7N=HOlXn`DD65p4xT4hem}
z%Koa3N|1UN7r10+gXww>vk?Xd-J;QW1(xK%eQ+kc#NGx*JH93PmujGGakI|8%hE6?
z>>Xk^wZZTAJUdS$t7A`<R%r}Fcbh8RVs8rBU`PL9F;*8fBuGpAu4)rTwyO5uuudxe
zbjUqh5mtrs$gtKLU4F<kTz-{%g^K%kgMI$IR>q}MV-qV^IKj_a{9V$Hin^W0OD9e%
zp+7B+ueXPVvCn)&ZcYFfNuq<2mW(-Z$ty_wvrKr0+XNP*1AY@O`gB%#?7eyVN6GWw
z#I3XoR~g>|I}GC*?iH><!>RMFGm|sKpSNdZ=~)C6LtB@<4@=`z71I{K(qF{UQq!w~
zpRG~UZ}aM-n<S)qwxsE2{~!+4i*2+Pw#GnHhe6swaXgs{XVP{XAw(PJy&rG2f@p?{
z@M^9o)Psk1pUW5`4u;Oh$D~=JJgiwhc~uw>ehgOXN)8bl;~&dew^<;>_003Ocp<Pb
z@$z5F9wJs{2R3-hS-{ln>ZRxY0?=mfTP~g-CQ@o0A|wLWBH+!N_veK8upHw(Rk=7y
zh(BWrKmXJmXN{uALsqyUPAW1ue|C%rKFOn3C1#E@uO1Z^>2pCjLixy2<OEUnD(U&<
zBWB=t9PyOM<3MECUmo`TQ^W?@eNo~qrs!VGUcKVL4$q@~LMh}KVmcymOx45`GeOn^
z(hPoE<J7&BEi*^V2M5zia!sJPk4fm2Eh}c%EAFdPSRfj$m7ZMVH$l3nOWb?{3%KOC
zUDT}?3G1sV6Q55TL-y+}Th}FKd<!LI#h+Lr66`pV+!h%7<(j7H=oMy+?Huf-H~b@Z
zAKn%wa?}X-U0=Lrab*Undt#MtxJr~nnAI&$8ls{>t#gkBGd_<d%@+1DVf30rpX4z^
zeBtV7khEpS*1qqY=S*1OTVS_s?-B*l;w$Xgfy|Ip*L6?IW5pzeuVa+K7xfPuYo0w|
zhBniXhl(OQdS0B+eIQOj>xjUOVi^_$87`>(dBlO9(fYE^LIVg@)nt$4vS4Y2TW2nS
z3oXtP7GX99czPvT$(~UMx2-Bprj|T#N_oAuyqAm<_iH^@+1L=gC#6ePpAQCW?u=K)
zlF_F3HZg9P4Z^D#)rK1caJ*pZYmFvjUlg0_7Ywt*D_<J&>x5vh4R7HheaQ8RZVTby
zgdgwMw<0HnakKZxt|@+oFJ@CcywRQu8WRDuGjBzZ@$-dEPqZG&;?@~8mT`lo=Hr!U
zB!)!N9)k}{y7(UW_Q-n+UR3odPdhvj$J?Dz-^b&0aV<`d6fwz%M}i{<r}s!A(s=cG
zsv_fjrZ8EuSpaXjmkR#VkVbf^gY&i~9oXDr+H)yT2p(!pS=Pd9kZC_~TOe5nUZE4E
z3JJn+O4_gTR6!1Hn-)6ey>+1Fn|&$ysR(+0hg)YkE5Lt^{XoJd9W>bVJ=WzH!zcZ@
z(ugmLNQhY5Sh!6GA*HnLZQ<e&O8P63FQbeE50~UThAu{Z8aS)WBnk3v6^ZO4Dv)m>
zmn+ojfOSPQAg4eIANR<Xm3OM*hS96cb!xiM9<DDs?k|J6Qor0|&g!`0A60R&Ru@`=
zT}wY4WRbYyBy{DQ22Na0i|Re42bEWMoGLcUgClZt%H886C?>o&rH1LF>teX~Zev9d
z3%bXrg|*?@VR1UhnT!nm#4p_2mB69VTBcR5gJXktZ#eK7fHf(Y^F^dG4lMC>I&RQ|
z-Q||5BMjaQ8+mSMb6*8bZp9g=n)PunHm5ALpMvoauf9Vgsu)ExYgiT;A5+_or!yOY
zdg#YB8)bDQp4OspSs0*@f5-GXJ7fI2wCPX1hX&gFJBt^d8en$zTozlg33{GBTswI|
z6HBxCu0FC97={@?+@)^@=cHnl-ck}C+|zmxv6TY7!t@_CP3BNrcKFrzSPPd#=S7sZ
zP@t%p5an^w0#iB)8ZQg9@%Ynd*G&-$B;u#eZ85OIev?{X%K#lbmQ;>Anq`2}=kL2{
z1J?NIy?@nvRR@Dy_au8q$Pk%R%h^r^-aq^=#lTw^nM0a~q$l<9bf=r&TV^W$lO2&-
z8>@?k08KNkySlL5WIB4Ngo^yM9n&lObU_@>cyN(R8`!Q}++<+`ua!lMy<EDuCv|)q
zo3<wW*L@59T5N-dLDSThAO^3>b8Oj2Qp4P<U&;1MHaLI!YlGH*+DM>e+H}b)<0E%s
zN}jqcSOvfto1_Jvi4Tbs2YHaH^5V29wx}2lX3BLUp=9GFlj6HlFg>|h^1gyCRzF1v
zhs|lAYh+e~B~%pA<4qUmXKWDgmOJr$lsaO{<V^Qw^CLG(+4xYo4Fr2qEjG@oB6QPy
z^H?N1>J*|q3OsGl;pf~^>Z5`Yk<CG~a?6C~(}2<Czf^4Q)F^HFpoEvwyOgK%rU^Gp
zT-|?(QJ=w?lHzrWusf9M*HP9-*rnH27^_g>GoCj5FIf)cFY5QYK9v)*T@Jg{DgZ~$
zuFKgB4zxFvG7Xt&p?Q@i`)sua!sN<=2bLu<?Lj#!&D&3Nj8kJfd5yr>{J9wy#(W9?
zHc@NJ7@?gq9#0UevBnpVnEE_rQM88K>5dj1qb=lr<a^U?h4(d`hF_P3&~GG>_-16B
z);e?`Et<hu%7epq%0&e*IsBNi`Or_=$e+}MS!R|f{^$IsGl>W5qIb*q&yUkYNDhhX
zj#wZ{Q(@z7FHX2$&MRrBkI_tq9NG_-u4QmqmG<s<HdKuK9nWU}L9=koGU=Q#2PtFc
z@OmZ|*mD2s+C4c!8@vTy7b|lVmpIB>C9M+iizPKhc|)|;Ep6^s8NlgTt23H><1bNo
zzKhe&Xn>X^*HY>@$l$5|hWi`z774P`oM&fLFYRAi?p7;nQ}|WYP%e|_iK?a3!J}DS
zw2ti}rE79buuZ&LRwi?X@bUSl9NE=QQ;d&!dY{Dv|7enNMqX0{WqBe=e|-y$)A*7~
zU7#_3SMU70H2jl@4-07>ZGJ-|Ti#<8?=-@L@r=}G`9FxGGTw&aG4-@dh81zin~dPj
zZoEdnZ-l6pbLrCD_<%O(U1IZ_W{CTIa#n$9L&VSEr_9>f7iobrrX_~vhS<>26Rmk`
zfan$+cZL5gf@t0!rBF=)**UL2Pq3dD``)ckt^9~!-`Z}JZ9+jNhtuE1E4@TXl!#UG
zYCXZy{I4vf)&SINve%AY?I8l96jRAYuZcbf&R3mO1Gs<Kt|%|uO|)|gCdLu(3Abx&
zm;IW^aB6sS<Ka>l!4#TvTu-`{P%cs3rQ}Y=S(=3z%Z4uEX)cfQf<QYVQ>eP3uU#Lf
z!Za>c{_G^Gw|yXYaDO3!`|9#eFY7^DStnm_sFQF_etxJ#<SP+Gs(<@OOAkXYzGofL
z=puYyZ!AAT`9`EK$bBI(^n&7_DL7EkMFf`Rj;lQGBWimh+kgJ2gRadj@m4WkiSOC_
zq8bhj5LUmBzfo$}W^i(B`tkH`VuIuFkr|62LWlKbeW8>#&i!OEz24tLjCY316lsnS
zla~}G{Cu=frE1;Ka;%rwWU|v&$NW3t9Pjm<T1JA#6}^7N+kJ$UO>H;Ju`$Bs;CEvM
z77|$JWJ2T0`w2nTP)p(NpTuPox7D#-nwWGNymqs1fRL+77rzrZNpxMQn7&la;Elj~
z<4BVs;!M@!$Of%xLW4WUpG!&ud+dJgPpcXxJPhV0glcDqGTZKUoKi>iww@EcUZcd9
z?VO^9hvx{hgBH6@eyCyWqj2T8@ee{HH{^8k)&;_$xwiVdn;L>tH_t!AI8k&}sA|A-
zk;u}S5cY0n@Y2+`x%o2_#K+Nyxv<<NVsbov_wDtnu%%zTJ;XFcr16N)3dk-KitkU+
zTVJZ6(|j=Fg3mN@#D~*i<;yA|b+U8^??x5emwgcXbYzCGey{AF8_bN^EPcP|kIL8+
z8K$p#Wsb1PkKb=4#R`d!g(?TVl@az=dZOdd0<k!dcqMIujiEb^O>#3zc$<)zyElB1
zXm<!TGM?qY#t&wdoEMa!@Gw5+L(LMgIxuZvt;dabu|HOebd>Plc}b^Yqh;brRV0aW
zn-^~CG6|(^ityoNc`h}xO7L&dIU(*L0C~4>Z~D(EB1!Z_=h#VR4At=NsxA=%C0Bp1
zowXvG59{^jtFt0Ik5fc`hX|?_d<?`{6cJMOT*GRa4HmmH`D0bZpza>fc<+`164Q@L
z$+B_c)7z}kHdP7a)O}8R<gEZx8YT4~!42Q7IbY1(q#!G@d!@}>0V_|r?#@2sh4Zz`
znWN8TFzWbXC1kAvT-j5N4+aWgd7a!rA%8j8<ZaYd@l(JnZ!tdB2ST9#vkCIhP{e}=
z+?3ai3h+H>ezDC(1XICs8jqhSp-=UB@GwOYRk<G=<(0(n?tou{z%dn6r&sLJyrYOx
z6N}DQk`i#qe<^6VRSm6~$CpjlDPeO_3d?CrDXbn`)mGf10qd9>*(GAi_~Y09=*C4E
z6n-t<dL@{Iw&=Y@CW<O(<N3Dzi<BIcdqY`s%e3)Y{A5JN5mngTB!~QNRe)`IpMyBB
z9@acM>>Dklj)wa(yK8nUfj!9XShyt_GyAri8uMym==9v3`3YrgxWyOR5^4a?kYY8(
zAT5abTO94UsEXTTqTvrqC~!z*dHmH%7t<Y2YhyR4!=mxc*ytxi2=%q~$E_nnqqhFk
zdTvd)rHd|B_8KASeuLs}5(SA-7Ly(yNLYN+DJW2H43&B22=gsQ@Q`#^Ta=~^S+S@u
zntmpj{cO;+!0<m$=6&m4GV+A%Ptgvio51*5u>VC%bEq^QTvUChhsX`}x;yGj;IqL-
z!*hzkUwk<=J)&ex?)xSoxWxn`nn`(IE3H9qO*nhxCK<oly=&bAj3IKz%7yw6P^>uj
zWgCY9vaBT61&A6U^ul&;EK@Nhu2P=I@MpdCTV3~Uqd*GT9<P;ck#TRi&&SdLj*Y)$
zlPP3Gl%>g4O09z$^V?lgjC+QdMNA(ue3mxv&GV~m>yRoSEkep<<PEi`J(;79qc=1s
z<hI*^KfnDcZCW4S%1LgmDN3Mjo}CR&v%{VqXG=p@Jsf!NUvt}C8r?m)asSfoz*P2b
zdgEaoxMt*w)$bI-lQ2P@aBn-rT~@02xm635=j`ny3z=Y`ej~7z*$$d(1;?LoY9hU*
zM{kp32az3Oy!;|=9ilf?zPetlhH!HELhHg5t&Xm$eQC}X?LQ-X@;9kK=XIo`d=4|6
z-*>^wWT!1!KE{0wpHal(xSuFbB^TZEijC4_l?_;jVpLc?<q&ahtrO`lKRu70X-^Wh
z!OowwjSW1~2vESMhJGP>@Picpf)iBSR-7_E@lOma>$$kawM6Jus)_HPeglR%qkVc!
zg)ul*ctT@Qgr2-#K=F|yP$}a1%sGY^a{;mHcl|}_4Ub0)WG)e49zBw!rp@4~m$q%~
z8KU&RY<LrJ)f!iJKYkYeWrg6ckcqv`h|8!89?!pLg`oqE2Rg#%2*=usZNibF^hw)S
ztHp0EF=bEq+t`l~`qA=Pg_}j`LvE~{Tb3+PrTsjFLTMm^J~zMMlM$sqbi9?e#l!;p
zxDGiR47buAok_|)HYP$>lQ^Ro7rhpaUFU@S2S;c`SCN^@OA&gui%HC{_vZL;zO;RB
z<TR~y8#C9ZViEcm&1+frNai^5G%HGOY=P#aKk|j8K!m>DCD?TFf*JIFGG*m_{!4pE
zqy3{+iqPvgJOkD*nxeME=Z2vc6Wz}4^hy7A5&Gh@C;f7Prg%`oVY}6Wg|1v=$Nx@H
zl<sQx;IYQA3FeB{jh@nAqqk}sq`CTv(g$KU@7FwFg2NlH-kx1xryn}{`RJo&QTlbw
z+F$=Bj8QF{XrN!gNw<BTyf1LO7(IY|rs`UhF$^{j7>amt)4xRMuKzS8Mn9J7Sive{
zjOBr_LnBPQ^!?J}dPJc(om}*F%dS!*jAxrY3drZ9i?`p`UpOg2uiyXnL8Frqv`yd5
zd|NL-50Ij4Tk9`Lr+II<oc7NUt_PcJ1ZM^5{{sL3|Njh^cQ_Sp6vypNHrexX?=`M#
zX5DkmQbr_&5K)RmqD0anEs<2nh|thfiQHqB*$^oyvS+f_kDq_fbDsBop7XxX=kq<n
z+=5J7LM3rPV1pgo6J2OLxOKU>O%M}Bb8L6r*oe0Fvb!z^>cZUs$F}}bA#Az5{3hv(
z6duyQ!JDh03zX-DsjCITSUU7cj!i=b3E|yazAjMV^S36qtQ-*xAeuI2XUpRGJ#udE
zTc~g~K8M+&P!wyHuDUBy<dK!9`<VU{Dio)PXHwsZ;f5z89xFi#IFaT<`Fn>7v6aJB
zmwLoeD48Uk>7a;y?`i})ld0gv+0{o8m&8$e)>m^=C5*h~d3q*|3VqQ8yE>1Js6G<<
z{<oeoHq!S;Y<Wlp!RM#$+<z{GmXpli<P23XZQH}EbInxf6;J7Jlaj&Yl$zt}bXDX^
zr3xuB>%#e^Zpu`OEVk_Qoym0~U{w6wzzJ(z@b!s9MOk?~Vs9sq?yH6y7B(jy&(wv1
zhT7U#cLiMIKKVTCs5;)TudJ@%(u3XuXB?_E6tTP`ysq^W5koCrl_e+W!R8~a)vK&Z
zm}s^8Pf;uhZKk3^;$-!~`QEPD&|gY;+dssVaD<GVx0P?cd9M#Vou_IhOO-KfUt93!
zEgHyhTG%pt!2tf5+%N4;QNhC3;w8oGn#dlPnMHIrguoxBHw^<-F?mS3_GpGCN=VEU
zf1??J<i1n<XAKCL*xcIE&Y^{uPi;OLr@sm2o%;3W=Lr~iXhwC)ObaDG5p&uMjbX@j
zr}Bj&H5~oqRa9!Cg}=UM_vTobKqr?6KeMemZWHh{j#}14J$3!eKTf8Qsg>hr(WH)B
zkMGZNi_*lvy)(jto@Nk#xPs=bPekv$UV*o-HSlX#PFbRlIk0>&mh4)e3sgC5PcI>3
z*!-5TI9D1-uvVNI%qJr098-JVaT0Qx37+VX0_g5Oy>_~gh;1GI_e8mfxUG*Z=6wu+
z{G&Jbip~?UiQCCLAXp8jUWeD3eg-&vuUJ0PjEET_I}__(sNy}l+t#rnbYNZa=9B)c
zju+C)lf4F&F{R&i<(wrQri>Cp+AY-aPurWctD;JnEx=s5<U<E#mF4WtR5jFX<C4^{
zRluF`D>Ty}I`F#j*D1CTuqS1zq(np(Blj^ing`IK!QMMrYf=>(Br5OAH*Q45bIG}(
zPIPcz>wMhFq>3K~byY7{i6h644-vOD=uosxVNHfz1udQTE;O==;$6EQsfQ~7Y5WJb
zG%+iq64j*n=?x*YV{SZCR0VKCkM0n&tcb^F+V77|2%xCv)uM~10ea3<ntIMDAVtu7
z<>5|VO#Ny0Ox6g%{IdKP%`y4)|K^(I>CT1mQXb_3?KEJQ+H)j(Sr(H+O|@Mo*)eUe
z++JUO8uTCd&}XC|gJjt9@hu-4zAMjrdppS-u0Hj-&g~_InGz2_Cg!r>v%%1ihr?#@
zvXduL;f*93r-hY-<}qX8snDHd3p1eAI5}ifB+zhcw_yl7Gyc~)q~n%u3Xhu2|8#v2
z!;EiDo?A<q(9<}<M`g|g$nSNiv2mivA?3TL_azg4OEogLcQJvlj@;pQ+(poPv2VzA
zf(g~y?;Y6l!WgE%^xtW95ynNrl#%!zW-Mc0i!K*8hRcg)ry_%d(Baic(byt05}d2a
zuVXgBqc}Oa8}|h9SK;T_kqQ>9Uf5rJVaNz-&-_S}p4@;kI+T5`1*}-3xa<8+HzT+@
zn{d$gvj9@6gXOM1VMA6~(=&DrhTybfG<a@^A1_#0%guge$LG<d6R~tdupO-}5!U6$
zh9mxuTf{i=bJ8<@k#`30_v3u}t71NMlUrp{59LA|-Z*6iGXprZyuZPEHy_@Kd^7xR
zfEztu<DJ?{eGssr?`x#+VbenCnf?e~jEbpBSKX=)rDg)3l63j-#Btum2qk{(mNJak
z|6LD6)5f<e`|x3-MTx`P5djRYIWY4kNDs^nV!Yf+_z;UqhaVgeMAs{O9yqe=!GVE3
z7CS0Ge(8~zlUtut9dXj(;5}W?{2Tqir=1_)EakU;IW3IUG0sG1+x5DrRD^Ag0H)Ad
zE9VPDQ2(R(9nXJM&|I*$nn>P&#v}KCw)_#r=p5nNu^cKq6^}NqauvjnvL7<Dsp5DZ
zI(8r1O@)iU?-!TO3gQO!ku5K7N#Ia?d`y%i6{4o+@*frn;g2)<%{1|ixUWdAKIOL#
z@IT&hbU9QQx0fx&?t3JKakJXaho9&`o7PJ^8AlO}75<?o<|%{9vH1lp2|A$jqpUHJ
zE{e~WhncttayayqelIyl2gdNOYV8&=ta8!daAa4&7P4*ca}OQZ(O-0xen1=*d~S^O
zvMJ(rGxH~wZaN@sR9oenDS^qaRZPQ#lu*;4VlLcA2R<eC8yy^$#G9?+kL*dxnAe@e
zeEql%d@D$;+P_T-&t!7A?s8B;BGuGkF<S@r@aMY{>ZH;4VAA1{ldAY^^&^vFrw({I
zE&LGMDT_KEy$#<yC17DPnS4&23I*v&ywqhmq#xtacs;C!;lJF~(i5pL8ZzQKy;}h@
zpGtePDHG92>8NQvi!S6*^v4&>6;WO;?oNvv2?epH$2wUTjP3HjDUp@%<);n(wr9xr
ze!y}Qld&Gem}Ms%lTk*?0lk&nbPX(Z>;D$Lqz7?DJ_g}}Dww%dP)2Fp7g})cRdK66
zpeIYO1e+?7#wO}bPimq39Z&t{8Ut8)4Vq2Us`xTZy01rD8-Jfa8%%041g5Dx^YBgr
zUb2@>|Nc}PpCqkC3k(`T>x3;a>XjPCv6_9ioz+Hd(#85rA!Bf_Ub;6DtB#urANAU;
z*JJrEGJm!)ff1LJ`gf^Be0|km`QZa?td$iDKY!X3u8xkJ45=p~zfX|Ebs=pG%-B`=
z;I$ciRNy`kO(UV2{gSLSQ42q+Yd^ZyXAbq;2KtASNH}9zvb}X$0~h`_61T3=z(~zy
zt?~^CcO_m->4+p_q8j;`%sM}nnRj01c}2p2X)Dc=3L+AFZakq)0=T-yXDP>%@Upc^
zQ`c8D{C@lXISYF_oUI$$<fK8u_Y;v7e?F+<>0Og&NU3x%Y@R<!D<Gmma6spw2g(S4
zor*{5=n$N4EHuBQj&G|g&njG0MDj)&ci<m7%y#ZPmrqtlfxSCTX@hdO@b9EW@DLqx
z2%=qk&DGHA#}+&LaVbo1_kJ7wgASirD|&w$5%7)Eqsav$3A8rp-TvS$9gfw-^C~K;
z;=`X}9**Bd@Vcq-{=JvzaP*IrAMrnB{II>}!?$mOxI@#cmFl>D?<W(NiZ4nyQ<xmZ
z62^z;Mt6u5anV6;xU8L8pom^|0-xV4a$<W*TNdFh0Gqj5g+;6a`agC4Aq{M3<oI&W
zM}L6r8(jA<zLP@%6x_Xe6Eo)gcjZttKY%}<bbDBe3>Mu@T8I9B48lOGK&U?r*hswQ
zCg-GZZtDTIK;9)raPaQJ^N-Ep&oS8pn{P<sL{YI9ckn#Jrh$-5o;3p<f$4USI&u8b
znQ^bJc$N{P>|Wh%W(Kzt6D!nZ#E_deFZjaK8Aj<De*z|$Lftc;w&<H8*!HL|=*f;5
z#*5eIS8ueNz?Nk<a-hC2mLJc&VGuXNpc5y~j;Wcz<J~M=feV7TDc|AC8Tna;4dIoD
zYK$>F6OR_;eYXMs<u3k+keOqseiE&TYTpD-g10V?H1T77d%yUW1M`fy5Xa*}dYiz?
zH9agumJf|T-4V8#TVROrTE1OLHG;q^rhj%l<U!S!%NOIzmlzvvTzGE1Vh9z?wE^3X
za-(@Smvh036~+nK`{{oJ3_(!EU0`<I6Pw<F($V%+#>zQ0&gC`(u&*EZC!NQMd}8{v
zFG)<u+ZGB3wiv*<U1Wta4o-AG{(INQdS;B&_T%5Q?h)pm<|^Ja4m`_WJi1Yw6`3_H
znZnHU!AqXcF3Fh#Sw393YZSqT9T&UKN>}KC`>)Df(uN#pnLm7D(<nRk7Wh_LSn9#y
zfoRdM798lhVTwH~f)g+1+Z|tO(uHsbl>nn~4!piny4OjH8-t|Y|M2k8g>U1b*|H5B
z*j-ZJbE$&|xm!hJ;wPw}daYsPi6tj~OzA7>e8Gp0%cp(sU!X$zigxLdZccm}WW>$)
zL;#hI0`x|esjyj3?z~<$7oI)$oB4WxAkO~Wo|96y&fDPm0r|7sxIFy)Oi_Xm>V_Oz
z8a}K8%`)B6c^7%`TQ$qG7=|!D{q>5?R#pe>uBuN)z2wCT`!j>}e4?0}eSuf>3k7l;
z<)(7j`0*m`%U0(wF{De(QJb$&;K}6ovK=P{@Egg$_QyYQ{LVka&9<Ea?lQmFS@{Jq
z_l@x@nJbdW|M>P!Ul|H$?6uD)|68Z;xq#|YYbpGwxn0S<M;oebUo&%#3gIsC!+%J!
zGH7=5<G-t!+92VRvHR?@FcLXt-ainPL&?Tsi=Yr~*!cT|OtP{l4u@BIUlCWp*~s#X
zmb<lKw%;&bcAprgZhjhmL{|~5zt|F9?9qnO*Jclw--%;>QgG;RA0>QNo~2e4s|_aC
zuY3H`kwm8ltSnA<mGRD4ma<=!Hu!c#N78U3-Y40*KN(R$t-O!lUW!scB1A-ZOQ19s
zR`8w#D*~Rc{@G^XNr4Xb1i?}bSq$ZM&W<QlLlxQZo9(3(Slw;10lDRo*U(s{S%iox
zB@z{3+B(osUi&k6oew;`N6A@nB&@nS@rIY71D7^46||pI#OKn#>RHCfSmDw5A@Cp-
zOrQT83P@2x+8k~2(N<0TEV?wqtg8#edI9)csEm4h{Y?7PwD7Q(@TJ;~dJs1EHczTb
z1y4A0?M<%J#_<|&-eEa?aG|(4T<TQCLmnBY^a3b2-ing>bOVt3>X%qBNx=JCyyWk-
zP>^xS$$l<&J*Sz=JL#>cVa8f)qnEf2T2V+5e(gpeRVf|5bwM4gSmvGw8|vV2^lsy?
zG-L2<AbdRYi-=dkZmC?-&_R9nq1Lk{CeY+kXsTXFLUtJLF8)WsT!$QIX>Bv0*2#}w
zcOc_;-^$ZB&QXvssX4ctYYwEZ@%FKeWISuG-Q(4ujk(KQ++M5z0#K%YcB2M9;{D4y
zM%F@Wp6gsg1prx@lZS)!G_c3j+Ofw_13d$erm7j!AzE%hIcL59P-w<6w*QD2lNBD=
zRYC_k@v^e_2QucKzrXqG6*Y7w4*qJBuz-TE^8(-LWX%6$9Vok|f||Xa4Juw1kaFtD
zY0^a!TFJksI|nGCh%kSqS%L**XJ1HDxkp5%?2Q#4p2(vf&BC|;rUg(`e-<yMs-xV6
zX~~z3QW#OJN@2Zh0XC%Ho~;MekcWHP`lgvUj-3Ie-3KioSLp}CTbY0-BgD@?lM=>=
zn`K#4eG7P*%bMxitb)&S8?ujd^Wmq;dK=M6I-IG$=(gjqGG5raL#;EO16z#u^G4pK
zL-mof`eOV_7<6G+=sJlR`$o>m-&o(*g0iz8zkZ^C+-VJs2Tv|Cjy-&CXZZ)<QwnoR
z)hjt9eWDMnc}+1q?N3^dL<2lD`StOXx(xQYDQBK97-qB+5<Z_0Tknt9+b&VI5x0yH
zZ2vj;Fvgl^2*d6)*s@t^#rUWMF8Sv4u)k|(VAi#g`Ag=&`@7@Gs*4yp&MK*Wc-qW(
zEJxc}!7zgw>uz=_ZxP(wl-M+pQo|T5JL11<-W0lfTfWGp3gKEx`cvakWHdYdbv>zT
z3Lba*s`ia;K=WH+HTUu>8Eo2zvXa70V4!c_>D(G04nE;m{P?|=5$2es-}u%TP(*Il
z-;W1vVtj2+)HE?_OU$nsaTvo@SX&km;lgT1pZL#zzA)H^ISZS2Zi2{nm6>up9Qa$M
zO6ZbS2P0`~$E_oejKJuLhhm#08|opinybh!#$aq$&>DvknEL(bK3c|t1+EQO^7Q{O
zgn5;}>{$2F)F=PLn}e9q&UxF$$SeH})|MIVtqlgyP$Nxg-p+)l+eGht;v8ngA1F($
zpc=sPUZup7A6FRwR6wi06aIWPqFG~%L){i#SF-ehalWG0ZpVKN_mQj!Z}myWp;RuL
zbV2>~{2U(inY6;7-eT(t7MNo6uNuB<I<E&;iv%QZZd+!k`Y;DIvCJ@*4&0vSUDJg!
z=628C7fTG8mW5N{oO6u(w)Z1#qIDr5t#R82k0l1tZ%9;Det}`SSbshEKPns=dmkwd
zOAL<F0xWX&ON_oO?voK`sGv`Okg;da62pO_q2Zpo!dQ{rchH@e3iV`z)&8eTjFI1Q
zZQ3iV3`5=8FXFd!Kux%T?SauUV<k(M-LRSopUZN+eXOnn(Pl1B9jBKWI}(193S?Mt
zU}}~^ct-(Cc0Dtt?iB{*P|Up16;>n|P$w_DQXtUcxCP(Ze+>Q`+@B^T*zrZ&oasof
zHV~;@5y?(#3?X;bR!-zVm%94IDHUxvBDi>a@E{ZNizFNvPvF9<I<B+F4{HHCWzo}c
zGc)FzW$|u_;K9<lti*4q3Agu#2<@b^ApgOl-sMYtIO_BBO00|~1Ti~@6u7aXuGiE9
z#TEf9QQGbQUz`R&=R32nm)S7HWUE?2wjdI}zcBjm9~r8t-8%Ju*zxK$xAzZbgm9Ag
zgsW3986=dduatOjqUQyrt`2_@%>Q!e$n*>e7Vd7>;a=jxwztuG@pGbB*;?~WERh5U
zd`jMgA`e;|6&^4w5=XLMS-zqc3HFCwCbU1}L)Ag&ppes&*uNmKSo4PnbzOGHoYwd5
zkL0U@`KP3?T6{=-rHBZD&rKDCuM6VzxpUr{_hs;q@BWW67l<(J-&fhuDui}@+l6Hp
z<?y9or&rGjB1m4z+W3qrf;@H2cGt@lP%w>99-csif8$nZo1ciHVzBXs2O>&1kkQQ<
zQ$mDojn4!0wu)nO9f^M-P8o{?mz-4CNuauXC$5uI5+nTGMmacDadEJAw`?>C2!WpA
z?gJY!&wbPOyEz1m6}b94N1hCY<x{V{2c>biV7o(tqdGo#7(X8{ONNo;h`Vb%a%iRc
zT*#51gns|r<<7Ed!oO$cNi=l@%;!AzbGnU;;aT?!z)1^&#*N<bcqn3Dov!u0TupRJ
zoxIq-o+}hDA8c~YP(nh~#)062+8DC){A;G)6d1_kUwAXDj20a=RIck3v`8LjDxc8-
zQdC~cAWaoFWhIM@@6kb9^$Bvux@T3ccUc{|LqIDxcm7@xDyAm7_I0G|fxwLC`zO<C
z*kIb<IbKA?rM%_~qhtf{y`tb*XGO%EoS>Wtaa~OFHfNITHUt6sm#Mt-B$OK@H+MVg
zVsS~#8_wsO)^j6y%H%N_H|~--xx-!;SKCLkuHG^Mwt-&FPtP=P@buWe=bXBDn$JMD
zB;E`PAO6-qeo+(iFIaP=MN#o=K_#<%C=I?$=exZlX`$qid#|nXb?{x#;h#ad0IIWp
z6I`xnp<G&LsMRG3dd08>+nk_7VLC@r>jN!}_FIrq2-L!Vr@9)$*S+(HZ~oezSS{Rf
zNrJM&os2@(Q!Cd$S-|@Z(lgvVT3B)S(d1?>b!=7Lbz!58C4^R(Jr%Xr#1AHU5urC!
zkbTs4xH-iV*l%kHy|vfC?JRbVUJ8n+c=#6KbEzd{ne!_(h>$Tw<!joJRB7~&IZOz7
zYY8wcrpZ=B#E8dSnjdzHVS6*9r0BLKP|3~BE|Th)*H3-wAFu(3#^-0VJuP7*s`3+0
zFagWQyYnVP*)cL;_17$yB_z$&7-~OPLDfmQYZt#RGH#WWU8Ln%fZM*mdgK3;koBm|
zbe`TIqrNaIF;~|DZg36k($iN&rgOC4sm;L*MhM%nYh`q}qjbe}jYA&Oo$B;@#s1K8
z3vXY}r_o_ylep1^T4~gH8g-{<=`Za%DXr^S6~IC{v*=i{B%Z2%d#P1omX<?FJy2-_
zK+KAK<yS9;funM(VTB7c?Y993Pu`&c%UcE2Qb`efnG`44y0AohX=TGARcsDbg!W_4
z?h2xkW-4L())m^AMRS*Ly%{KV6V1Q9;=^M_d6FA`tk6zK9+j#eGlh-;;pE74E?jb(
zD16txLaQ#Dkn@x@1ve|Ff~5gAe01;D_}sx2TFD+Sh0(1hpkkVS?L`VRsurKL9DlP+
zdv<!}mVCT1bbt4t3K{&zFga>=&+_LIZJeWfV^aMl*pzZDq;Pbe!G8VIt*Mbk8qa_L
zXS47oNI=IrzfIE&pJJPKwYde_sD;bR1HMMUmGLLIUtxk_)|kdA&bvU<lcK1tyfy?L
zmznDiYX%s%=Tj=4=+4s$WIE0eMGWCx+p&5Ri*81XZ%_W#$T?cL4f{~WQ3G&T&5rb3
z{mKa6d{&p*IZIn~`@V<oyFUEc_pwgmQY~Y$LC93xZ<hA8Wk%D`QXeGKG8O_W?=Y@g
z{qu?vnx%cYxp$@SnI3?|_q?E<QrZ@eU8mWHW@te>8yfml^xzyd+}|*>k#>!ufBD1U
z46Ui$g^e#m7Zj>b)yPMErO`P&^CH*JDR%vut1qDoJ^G^$4bp$my7wG>am#;}CRbH^
zjDC{}Gq5B0zFIeJN7EL~qP|(0rU}bck&RS1C`!I^r{fQ;gB+7$dTowY-RIDflBEMO
zCN7z8gZgO)C-y6f1<ccCC)KhZ6LsLrn~<3;e+OxeKXuy-4=&K8n%-4AzNSDOR}9OG
zgCjI<kEdNL8H==EQ3eh{n<-#nv_N<~G)7ykuiqxiv`jnwy~yuhsWw!db=<Kx>@RI1
zd+tL;>I!X*G}+fVtOaEQFY;};{?T&8eznE;tkQV@d)<3oK?^kaq91+npQ1gY#NI5^
zVS+ndx^Kk1G$H@;Zo8$nX_|L(IjC=E2A5}&K}T~nfM&k0qsw!acB{QSB0Gr%R1L?K
zs>aE%c4^J9V0DhRmDMx#@)Rp{{kH5-1u{J9S{qAaEYL*NVw>_$utQdoc--gPBp_9o
zXN%`8(ek`&7Z=qz;o9?rZ0=<uToW@BD1W*_v+lDp{L9J>wXwJT)b<f!pjpw=dt{YH
z{mR~JBftw!&eyqTw5fw;^yF{BhfF}Wwyu-k#t+*pHOJ;0)q(V?=Rx@jGpN>R{+g@Y
z01r3nW(>BffpL~=m~1dB94wIKb1@bI#nKP<w!Ug`z^_ws`x+b6Tk!KeeJKpqCy!^!
ztq|a~Yp%wlR~!&^OLnN$SritsE24^X3E;b+`Ks(D7aWXVB;`nmLtuEILX;Z;YPfEy
zTHoV=Xg_kOAcrI*l<}W;mLY(=h+(m1Hy`}c3e;9ml!CgGw)TG0s-W0nM*OpV1N0?0
zq`f;N13c=eMgOe|Oz@g$v?>Tk`l#3PhUCB(bK@8PsKWH+Gc)R8!f?YcRY|H@0aW}>
zJXB&KfJo9x&lHC!RC>HBm!c~{Nl+W>7!bgFKf&`^g&4F8zR7w2Nf}6;kvBE+2*B~(
zjp33m0lwvWk<%wt;j4^7Ww4GKl)svDh`GBFS~za>rqI=Z;<00SVnPjkUJ9J^sF#K}
zGv!Xl<%v-4U#M}nR~>ZwJtRYA<RED;C1hHN3?Zg*4_C!Wpr=u3_F$_5%*82aoe<Fk
zC)W=F^GRgz9<see$xwtBE&X-+GTLxC|AklVZcQl9=;P5^Re}dyem<>96mVFo8I?P(
z4UeY7n>a&M;CGsfjnX9@7|xf@yt_yNQSTb!zY$f?T74;96i$VKh_I+T`>Bw*xnulo
zkQx-P9r_k&sS5^1FI{hQ=mBl6@W|tFb*NSv<J&x@3zu|ch33BMgYpKx_mTc27}+#j
zwdAV@Yb5gz>Me$F!Z3A_)<6bZ8|`=d)_q^W*d1XwvI!L4Mr`jE)Px6IDT#rJdN8VQ
z5#T3l3fGR9GJ9xhfzV}HE*CXDD0kv)Hr-_o;fCdH7eutd0PJs?1na_0OG#}7D}aeY
zKh5#i+7Q`oOxo&61<bNN5x<QNo=j1@eYq&$!5<?Ny+nZtYmH%X6ASRNcQ+5`r9g{?
ze1~0u*7|-cwUEeR2?>QSPUO{T!}35gtMfk+oO}aE(+e!&z}I3;s=_)C)U*<cmkE$?
zsWqy4qZM?Co7Og|X~C5It(x?IN}ykDYJK0s3i9cPnB4j`U?`iXZ+Jl#E_|bDuO7C7
zs$z?`xqf6=s@!|`MXWev`CU7su*(X<h)fAlPl#}_IPRB?=LQgqH``?-YXw>%iPuuw
z)z;r5HTsPsD-2DjZ4aomgr^Vpc&87jLUBg4)$xUYG{<WTU4PvyVK5`%t;?7)C`5*B
zTP79JihaT_rFU8Y!z)%zXj&0Mq926R=!`Jp1HMn$?6iR9q;2<iu_?gLtrTwMrFn+M
zf6D<co9J*kec!!UM;Y)Dmhy_1VZ!-4OD^Xv=&)nzvEyj1B-DP>+FT~fiZ684o1NbR
za6VMH`T3|AxHfz+TA;Gyy)Prt?fL*)ax-*S_XtA{Kex2zB@X-_0096043}p()@>NZ
z?Y&3Yd-L!-_WoZUvWn!jl9`c}CL$st85t=m31yVopi=tZvR8%7L?n?BS&4XkJ-^)7
zbsyJp{?7A8;Z3q?5C&3$^A7*9vcoLXX=P6vdUWj&x!f?!5Ii=F#FsxaLb37TM3xeI
zlvm7RCZ1{l0c*LI-=%1Q_w4#d=1O`L-um6GvO*t@wl(_>Pg20IZHtwaOY}%4_7T<T
zAw9^;y8Jd-_%D`d&f0TZnH~-7-ZO1y(Sx3t;#xMN6-?N6=5tjy9kO(;yvb&%3yo_5
zP0j{Cu`KU*Cw%?sP#GT~_GX$6R9}qaSI-#3zAv*RP_xh>hmzCQZ%4IZ8e4o+xYLXc
zrTLWv)zhMg2f_@SL~St7Ff8w;tHZ^JiLdU*(IV>~gJrGBS`Z*vlk!Pp08c&SpDgG_
zi(V)E@_#$82~0n{tDBT3ab}Up6WZ>ysNO+wAof2^IN;rrTz+Q;Psw)lIU7NXSWNS;
zci<YpQQSPxAF+t9sT&KI)Y77hi=nkgNg8lMb>q_0)n(i!%lMKxFCF?jY8y>ist(=d
z1tf@G#TktD+azSup$}x$sXR$_5M0Ofv}V?ETCR|xQ-<{DyX&J;{)cKn_8!$7)7iwG
zlnp1@m>CeIvvHA^yc*O7Z5Y->ZQ)<-<#nTW7*Mg#jMs%{s^ELIIW6_gKYU2LC}EAC
z36;N+WN{^{Ldnyrx`LfuTz~qr`d2q*)GEc2CpJKWRo@E(1Jaae=<<I|U*5AIarWwn
z(O?pMi8uKhYfpt-C|DZW1KCi-om!n577`rmk(?gLphl<U71t&OInbkA#_rEmL`b3}
zHfxO0AibOoo;w1ZsM;oe^|})g>a4qy77XYR<<ho;iy9XqT)s;qOizT4QC2GKIX!wA
zMSbYb32sDx=OJBJm<nV*V!GsQ!ie$%>F35?@*tKk2?lQ#m0@z2xNvKk3DJsPaBP>`
zhm>Qx|B0PfhOkXrDo&gQaWQ?Qq<OU;DH!p6GhtK))0dN+9Mx>d;X3h>b|62ZYk2ml
zqKW|iCzrTqy*QA~mY2yc2%>^D;|wW(0(53ixwc*5MA45;k9X(^qq7IvGTvwrz%S`Z
zf!-S~v~%OzZo7*p@;a`&@L8AuD`rt{9n3t4k8J+ZyH^ZZIqKDtMF{XNs5I@{d0w>T
zM0`!jB!NO1W|=wl3Bd2yR`=o0J`}($O<K2;M03o-jU5pL7-P~b$;;tG51$jlE<BY&
zwk<qTj$;H^e&5Q%VK0CJC%kU*h|3`QnUi&Y1C(KBC^j=xSqM!ShK)t%$s*HzEhXmC
zDp1I_nwuphf^J10xOqZW9=(6@REdU>2s8yeZaRWuh!a|G=)X`v_Q7Nty1PV3(<x!(
zBZ(t3W9^t-GbPkzl_Bugk_6*LS*yOb66j;YupD<U0r}qlX0a%s3f4yk+_xho(faLp
zcHu)R=%YX~<pmZs@SYAnHCrKt#C5hjqV0+3HMiQ!Gh*uSW0;-YYeE{4LnM6vE)kLR
z##UX0g9c<T7`r^>l10Ngs#ngRA)#AWWZ557Xo3wtc#`zxP?kmXk=PF;6uTQ(E+nB1
z-)v(}9(9yQ3ei3pP1LGrPT{rkMx_q?mvvug#zg^%3RG}}(W|0^GXZwnhxCAIBN2%l
zP(%|GiFf$>Nl3%_)X@BIeP~ZskQHW7LiDj=h7$fHG{%&&(sI)fj?~<_YnP{lM&Dbr
z=D#DNY30uIr91$hYVR1BDG8{`-e1$RRRt;X(!M+M5x_Px!FWP}fEdX74;&v5kky;B
zRHO?=@P+;{_aQz4O53g>f0tK8!nAW8_vy%xCmKDy*s6rYm^p*%PRpSu3C9^~!pI<a
zB>Q)}t`f4TbAI$BT^d!nw})@Gk%54JXiz(^h+ew?jH`GcfmZru)hag0u&;E+Dlc3C
zy-#J1|8hkXy%1&zc*SH4?Q{_WL|b`u?72(qNm>DPzEMHw{0<pr`!hB$Iyod+-@Nu?
zjt6mC?fMuGk>ORs26c0u4AQsl<5W1pfy!imo>$E!L)>`&aHo_sdK%^)xO9~P`96{k
zyk<=Xz6-79JNc66#Kq*loi`|vop6kM$chmNl@D(o5R^c6e_m|gjN8C7jrv+!uN#5y
zTNUBdJ7VaZK%^lz<2-KC;{N-+q!F~}^-*YBh#+aR*IC00!}!&oyDKI&085PFOCphi
zNIRi<Y=x;9Z*oxMusHz0Q>drZ{D}{xgr`0zZ|uUhBZh~C%P`PhYkJD;v=2$hGmXUh
zjbQ3BN_7tJ4dK~+5dX)(gN}|c4yf=?U=OX&n2xU*09i9eif5J+HH@FP$vN;1s}76K
ztCcVSl8}!O-7-6(7n-KY;hw^xXbb-Z+Ur9j<A}gg5DQ9u%YJD6<2S6WZ_e59x*ph9
zl*iSQ8Bx4;#kwCpi3OaUXw>M|1;22WAf{kC)TYF7z>RkT+nP`B(d5#Fq?*mdky&cg
zd;Bx6#LgEiX_#e~!&L`p|Evn;S5qSUdA^}=Y#94_>_>NEg*MpwHks;%@8ZGJCTtbb
zpRl%$3x#gf+Q4Q-^+<qY8?T%4avOZ!jq(5bEBBw97Kl7}q@FFXiJR*<Sr`6!haGP7
z{Vo4i6R1A-mwrxN$Jf$j67=G#vC}o~pB_tS!mC8e^=kK3e5vOUYfxb(9{oE%v@lr%
zSS34;WGDQ_b#J^5%|H7JH@tGxW%7?Y-2YsH_irxY%8U7-raxNnlb19KAV3{li1~F?
zUcYd&WG$}YQy+1k97xX|SA%nQ_xrXFE#S|iml_%E`*F3rN<y=f8l1eyb#(LL9R6<T
z2f<Q)1Sgk^H9qcFh3B;6DiiKMakUKQ(5Tfh+<-nXOvynNo(Z(Z^PHc>_2%eX*2gFC
z6xFD8;s^;MEca_U4A0=p`pfjYmQ%Qwi@9QfCkb`~Em&(4XYgCy>aBm#G=AB9g4u7L
z2zFpG9}zi&UvH*tnm3!pL(R;?&PMF%;^!M!t7q_)C?kHt^c-&W<&R_)GZD0WX?nhk
z&f>bMC#!r47jX-f8GT_;f$8&2y`k;1_-1SqZ%4xtK3I3PlJ1l;EbJFm5-<CS$N#*n
zn`r(Ux5@2{p?*jJ;l-#3sirwR=fmgZgR?8Ruc^Ws#kdlf?Bh<!;#t6tWtD~~magFs
z9av<SMU^1L^?bk0y+u5%;%;NiwGF(H`$0vguOb}Zby3?@S;CJe=WzVW*u<#~dHt?G
zQ-HuIHbSh*GHz`0jC`tP3(u^)7hy=J07b;7j?LD;ap8ccznqnJa36k-_*pl3*l)6g
z>eE(m=Vt`tH{KLTU;K!0Nxd9!(U(Hw>MH(a(~60vmlB<L^8C&n2|1`}pEJ7=vyK<v
z3DWoTq(;lTt43?7vLI)lQe~(42mj7U>vn4&E$ZvdnfkLU1GfxroXq9_i$6kfxhZRO
zDC46F)7AwUkg=lWJg2;k%Vn1`<Wn&s`3tS}ew)(puxD=2IeZ7dBU2(0OJ+v;ckM+w
zFH3{;#yDqLGzBV;`Yv{$juq)e1@?DwNkd7$%D?qVO7xx)v#!$OK!aM`xlkbmx<eD3
zx&GAXyb0IszGs}M|5V$ioUIfzrpwDL?#<WTa#E|zjvJ-1S_CyvNdbl9W@Yjs9g=85
zDUrgwC~5GZ>@_3_COVn_TvzvUl}6iK73Y4`ped7mI8_qllX3fOC1%8O?B%ltb$)dI
z#i15*pd`facbKiX%Zi)>^Uo5J1kw1AN7b&&p1yO{Kwgpq@qbeKaF|yFnLUefd*~wx
zT*rN{R_Aacn@w7sydW|3(2*|wTcRZ7wZMldA~&+|IBh|m7e~`gHxOT^BxppQmDXD1
zLG}vMA|XkVD9za1#DydUcmLDf-0a<lSPmBai!zf&Myc4l8x2zMQ?$GVCiqaGSFcuw
zge<Bzy=E5`D-G7cK0-ADf~Ynoob8@~Jjy<SmsMSqfun&m{cbVBh__NHt5Q)B=`Yl+
zCDzEo4r!%PnNbXd?g$vy*$~indf5=Qjy$A0^G&y%5J&TY3)Gacd)yCM>^Q-$2zC{p
z_un0nKyr4)H@rrOD51tSxy^_GH`rvUG~A`oLEW<M-~|#om2xq{d`JbDjT`!hm!%Qq
zT}egRWmSYE?_x<oB;b-`i6*DYBLA#EUBx46NJ4gSB3V)mLLOT>_$$bx7!@xDt9$C`
zu5H{m9S#ln+L<B|h!l`ZfRK;Aq6XqMZ$EWPSqpwhT$4>PQ9|o{eQY|R8pzEgGlV--
z2fT%u7|uK<Ac|*6XyLR5qN6@Td3!_;Zd~a5mNTV{xc(UBByeaT0WQn1RZBxy$Z={B
z`L2RCq-hh*TC1Z=JTAOKM*+4k8&A0&CZhepy(Qc7YKU>{x@|<H5k%8`^W2OjBL7$1
z#m63zQ1Y((p^`W<^p@4`7rjPA!aT){FQ2I(sp($vMlWLsyslz#)t!i9=4q0@-%~_Q
zrij^)#{{C23-i_Kh$tkV`Bw(WB8Qmr3;k&(aE)q~mTp%Wom<|ZR(&slo)wRmaQB-)
zr7Ba=xBCQSzIb0acR>jCm(Im&Pn$rDSeDa?Ek#sJ*MBalg$G@2{Pp2>n+e3ZMjDgE
z6woJTn&##<CKOR^K2{oM0uE#y|6yS{r2pWMeM8L_PLU+^Wkl2jq>Sv}Hc`u<wj|!)
zjS_>ns|ro^<04~NrX-Qnze=LFC0x<7;WJoQTS)$pkTKNKC$r|^;>a><W%o<YU#xUx
zg<&n34D%Y!nGc;rk+WmY)35zhpntY2l=#O8j&LPpy>$^pB3E1s)K=+0i_rJW!^a2)
zCb`qCv-hK|m!*FC-x%S~E6*vp0RV4jUmisc9z?=)#2$|_gVvyYfbt;#$cw6O@8m$6
zPIq5v@v_3-Esut>bPT-9&7`WbnUTwt;x|UGSwT_m^vbWjyeGA~{wh~=kJnR4j!x^W
zfQ<`Ui<BAw+n4)g8w!-D<#&C=xgV_Hqo{GEwnZNb9+owa`E24Lk)xq;k65AfsM?Q>
zB|TWUCE&p4wv6Ah`le2>Wd-RsUBPrRdaxbh&7<cyg@5#0bIknB0;TK)+SER}u%sNC
zGTz&bFGxQR=gMJ$gyQG<f)zTz*DW!4%LZW>*YB*YLo8t0O@5g1Pa6^pD~|>Zj$)Df
z<ou-hS)iK~`U1DthNV+%|8c+ifth_=rwXHDf%;$VPxx!JV2Le*wvA&6`*rbpx+5zK
z@Q3nKDG6%9fuxK4s#7c2OYwMn76TS2t`^?CeN_{recoS%6C2p6_(!sISu8+x@7|=~
zUk&JJ|6xpi^cPcm-2Om}hZWk$G#!y=HNdLZ@Sf+(e^|X+mv;YKR!}+o_IJ*bI{eY(
zMME|eK-U!f)$1l3<T{dUT+XWl3r&qe{!2<Q9g*N)$zcZwHN4jFPYsfOoYC6PPYnt)
z?Amrd9Pm0Y)3YZ<4U)TO2wq_{@RaI?-4|X?;LXcSEfiOSw4Fb*mP54gC;7fSKE?_A
zGpHAizEK6?xENkzpa+UjrK(!Q1uMQGvWl*%U`I>;BK#Qx*pAZE-F(9h8pp7rqco~O
z8<Af7Rf7q5vhynq`*?tr^~Jc(QxeqhTTp9tGQ+!~^s}Y3`#?pjpGxfn2_*GK=sChz
z;e?~tP><byV8vyIkt7K+86x?H_1Ph_=+5Ui4SbNSYW62&h6rNxqlSxV9AHT)5`WxE
z09<9NM0aY45EC#xl%K%~{RbN+AN&yn_|X1bER_gBLC+Lui@3nCjJ83uNf?x@JPaCx
ziNI~OSrp&N4Qmrl=TfUhA+h^a+1xQAWE+o{pQhu5WtH;tqhn$)rIcy#&YlP!#*rpV
z4*Q^;)Gt@KCJx(eso9yXM7XKT+`Lo29}=82`)GtD!PlbtQRjIgc)g$yb<*dDs_8_J
zT^lL*P~Xz>FP8`*T5`50dIcbP>QKVJOliPm)<^?`M5yI;YEy|3f}@PBPOryh;CT&h
zuwRx0ys`g+RS$@OBHgJx33WM$>#ti)P9Z`5_FpGi4l%f*SW+pQA`dzaJId>fsxWZk
z$I1tKad^0UskU@d0j9p^?5yRh!au=Df)axSthc?5|Bs{ukIZs!%-X5}Zr}RHid_=K
zyCTnIpC&+=42wqdUa#!89j&Sqkb?S_I*rHK${?=0(DIE*11=@^vy010!xmZOMM<s-
zC|+L3@8Qsd^4oC=?L-+k?5JWLpi2a)tu_r_k`{dQITa|ZCJV&1T>1DUBDD9r2yXdl
zLsMSC@`{`sXm=j@Ap434LIvskC!gzplrWp#eU`m_Vm;4VH4wqk6^s7Dst5HAyDCCM
z@<7b1FBr}vLP4RNuT8K%%=xYUJQA+}yHx30tcQtkxz>j@x!V8&qtywXY>L3;OV=}B
zpaK~|wwF&zVBjXDo4RvS5$1(r`9cmV1J{KpojMYLUo1`5hx>}KAhOMHwLl5(IA!hi
zA%LS7$0ks|BBV~;+On-u0FVDtJjTgJ5S+HqXn9Hze%b|hw#UgqarocYvt>q5CHZOS
z4znWEEL8E`*!vHYVSfYvZ6o-3xh*<3Oaa(Ue#O0PlZ0bSDRHuDWLUZBZ#7mc55d1K
ziD|ft!?!1n_r+|;(5-R%iQ{`YFdI*|(`FWdr_>Hf0d{0C{Krk+*CY$nC%aG4-r|Rp
zwyG>@G8qQHX^)KN$-prNy4v(mUidr{tC}H52BiHm4)>9U3fcFMuh(<J;R>~v{8L7-
zZTpR~MN|rGbh0W_XIbD@i(%NiJR^uyxf+n$CjkdbqcRdPdYISIrMhix1QYX41c$5Q
zP!sUctTmhpB$qry0@ne=49iwcKn%Rs%fu7~{$YvM<b{eH0FH^zO--~S@SyeD^QfM6
zY<s$*^sE*D!+4fJR*@i32W@OcE-z!vw31?7r5N1!yO0y(!w(Ve!I#YQ<}pjLx5<?g
zhA<=4?R~{!Kg{Myzf8XL1G5PiQA!Xr1fMm&mzs9Gz{JI^D?^&X{3TAiy>m1GEcZ;@
zzXWcu*lXY4{U<Ri&KgFqY<=*v@2G%DPDqR*UQ3&rz?yOg12{kHL1aF$_3oZOz7*%l
z&GebX9)#yS){xW#&FE`HJ~6hv`;t`Rult6zj&ijyoYsY+$>b_E#0-8Ihr^Q>-!Yxb
zbOVJAI#5Z|^LwL&5gz}p5`U&QgDEhKv(oYDKofN&&B;D`z)TXv;}qsF*6I0QGUv2G
z*3B9_VMqrPr{WH`1}|b(+O-D1d$pjSLTIdNiUu~GQ$|^DFJTsu$E1#EX@RI>#6PKb
z)Np0Xyf|p=H+GRRhgT_ouZJ#<tM&F$!G~Y;9E6co?CF$pSrDrxJdl-|q~fN6%qOpQ
zo-eFpA}>eBcP?pwn5DM$;b=-Ip!%+q%eRT8ecc-DSycy9PwLnr9!f|m+5YkL*cNs#
z>xIuyusW3Wcyw8RqyXo^!jhgnF41bq`!g=6!P+6sqTf{%@OM76(utn}{(T;k^f;vk
z{y6LH>?ag35SH2D<4XznB|Lp}O%(#tOPdS(C_wjZd3}B}6-fI%?23y~1p#Yur-8k9
zJ&V)ay>)2djrc;22fHeimt^}MK2Hg`BAL&un`i+spWBTqB*8ub>cF^VO7K$G>eBP4
z2mb?RB6PYWC`t^-G)SR>deUP8S&<QH#*c{84-kP7XQIwEp@!}&iKJ>)W}q9SKV2P4
zgur`|O00r3ko~%6hH;O-A#^>wnnFa-HCL3e;-H1a<-|ogGCLS-1r1fFs(|X~2Tm_(
zI+!yqZ)xr3fSe2Ogt``#;f+?BU*0i#NV%SB<if=TYxRbDkw=w5w}zQ9>p253ao#f>
zJIxJJ?8R@2dI+!`9MvJ9$^<9s<K4sOc)&56^~6y}0-Ru-Fg6=t2BB7SEsrbvpkm|a
z=E$59oaue$>id8dgc9ot-Wl-0@i&Z>rRhrWFS1T{{VqE=jZF37`~t9V`(!|znG$gR
zl9#rg-~g2iV-5ca2*G2^x7WhBlpsdBv4Dk@3xrdB{S1vnVC$*T{Pz__@Z{)zb=Q^~
z%0-@aFPn*hMb`E2DT|7*#1!r8{EP=`Sh}Xu<HTXqZPg*2RtW;ciQhAc`#^^1A&|D`
z6DnR;R-^Tm!1CZChhOJ@h;dKzjMb8Y2(eXD=WHcNPoZnAzrqim2gHuMR!W1$kJ`{A
z0Rm{+FI^UN6@*h$vAsr`vOqub-g>Nq04_(aolLY7hH4W_*F#-$;NoGSbEZNWaF6^D
zj{s3vWBe0#EJy)fzmYzY*s22mJ{d}8ycYv=;WhbB97@n~apNW-jR>8m??nmjaavwK
z?X&+=0t~ash8;gff^v<miV+z}C_GuZxMZdR+s(0?L6)lU>$4sgm!}lOQzV5-dJ$pq
zmY6`bs~Qy18~TamOT(4koAfFiB%rtbB691dI-D~wb@Sijbn}|-di?_ud~LE}&{)=h
z&N~NOEcxXC^-(5$;Z=n*lrh(qPHMrhV)QvNGkK_PZ*M;7rV4jns^5{O*MYm}`3)aW
z1u&4yt#}%u3P;|0@-Efrf~w!D>Q8q?$h)O8#9*%qm)zTL3ZK!3t%SV&%DPH$!Nq&7
zVuJ)%T(;Rg2!_y7CEq;oLkXzGI0NGL_MHA})z$R{gUB=PG5Vea2<#Auetek-I(7Dr
zc69)cvF~#f`2-jx2|p_Pq6{UZK|P(bMsQ!a!Ry|A0$h2Q(i!NW1d4{?rtutPxb)bL
z(C<osmcPvJX5-{xqAaq+C!GvOIdc;>N0i_{>b}CeF)~oRsUY`ckqiez-?gsrE5Q|K
z2CjF0lAwG^R7XO=7#fR)*SW+L;jL8o*u0|{=-rdeus1e_a~tDA4_D>ko$6iN*lq#1
z`Kx|3UEdfiscCw=^X0(%(o(?#TVA;9pYYzD-xvlq^CrJ3$%0!z!5M!S4!BS_$RRXF
zhDYt&(o+wlfr^RQ%3+fpc4`ZlL(<5g`bKx4hfNCF|FsWhg-}2{jg~lrDj6<T^qAO(
zN<ijr1Vy_2D&}i%tis)41d?}dc+pRaLHuy&S!Ky7%yfm3U~<d|yw>$5u2+kIM^LlN
z?asH@z=ufJ2QvWCVyT_ZZv=t<>@)3rryiW(Cl`=;9^g*R(N5`Kd|*gE(8jVnfq&xe
zc|J@5AYJ4>=4ibS7}xwy(}vC9qZif>T@=P3v;4k`?H6vSecZ?G`f48cmH*7CY-kAW
zYKNcJ-{XXlRO=~8xnFqog`SmuZvzOrBuIE7y601jQ>PTTm+<zahdmUT`oQlq&3V;_
z88rE+tMAb);q!zsi>YQk$bb8wEs2o<%3XVTI{AL#onx%=5fpk5VZqeGMo$a=zP7hg
z(--hZeJav9M!G<8^|)ZV6BP_!3Sat~KZh4!MHbtMIv^@ZEyugGi_N$Xm^+@H#Z5OQ
z8;%WV!*8AZrVDSku<5Uxf_%b1@b4`0QGW8;Aa7r1Ud#Rm>zuh+t@3sXm%C-GH*i@C
zwwXCjUKm`(3I>@L8oVd*s8I$L*KtiaX_9+mit#rlvcMH5DEt)<vHN`JwUH)h3Pm_3
zYW>2f<K)ON{uyWZI8^z(R0BR8Z?(W^=dd*GbaO)EAihd*I*6M`1NMKVZMf_I0~;%?
zCzj3i;g_8|B}(Gdp<zqSam{uLbCi3rRpk5;$9!m<Og7XYsHe8=(31&l<yMGQfJg@(
z#klWNWAL7y>tP!^KZdE|9Z@e>ns8Chu3gHXsxUV9@ynL{XYB8zkz0w2Z}6$<MB6bx
zRaiOr!^@mz2wQwox}{(I6t}<ssaJQ71T&*$6vt2WV>io$a!59X`0FQ`kGD>ffT23*
zQj<|1_O&Th)HT%suXdg9ru(~>i<J$|YF_EV{Qin%42Rvv1THZ@Gfp6a6U{e|8{!|a
zEwz?9dd({AnxZ@3U0x!%>Iaw+h2LYhY+EnuZq#C}<7$-)hgG2LHtO(>>%tT!6G|Oe
z-eT*$SEA!0l%eh7llT&!PVB4H%hDI&@38cuZ~xvuCcu}Rj>e4I4(#z4QMZW6W^8Ko
zFz2JMN-$9R!B{@91Izi7AmMqa9kWjUz&S6d1gc53pYkF)u>Lfe9MQ%ujCf!9$vGEA
z=!z|+<sIw5M9SJ5B;-G0(SEgaLWK&D_#rnxIK30IbS|hbr|QLmrs{W^=jEZb;P4Hp
z>s{DM_r0FJ(uaMovGumrmj})?;ja??-5B{u2KI+)05iRp+IK5m4xW-C2<6@%uv!|9
z=Pxyeu+@g(1D9uIfoZ6zr6BJk)^)~oF*9=n%RBG6vt%j@4+hoPt*d*mpz{lYB(X2p
zY;tREN2v^)ju_e3I@60WBusA?e;>zG!wG~{HW_dt33W19e!`YqMl4K1Ca`0CtOxAF
zrNN6pbv<vOA8S5vPxi9lH|%%L5$VAnQos|;W>u6ih#7LcIlVbMg}sWFnf7*;g8u;k
z0RR6CmuWl{Toi|qeP4&M&x~R0+st4rbA~91Qrd_liC0-mQAvr?LK}%vB5Np0D$5Cx
zofaetSyK^`Hod;z`{AD7J<tFDB<}0_))D=dZJ;3@6FWM_=K8=>Jk?2oBA)jeLAT$r
zz1*JW2g*#cZ*TBiaCf3W#233=2e{v}*Ej45J{dX1K9wyzl-)!Io+n~v4eJNlC$%X=
zbJefx^1-FdY9}(>oZ5NuT>TK+t?0m4=aVyR!W=(OW)}%Q=Oy~*?fA&vbU$;4t@<px
zlS1Nh^dP~FH*v{S%~7`3N@v}5<8y39wts5HggWeIyjeJ_JkGXBrMGh4e`l`^QF;6$
zQXSfCnGdE`O|mDFE>7$fUSwYzSQjEEp$=uB&pTB##qK{wm@W_f#m?EXqI$!6HP{#)
z9skDdEBi}#N^id6U-ry<r4@x|R3WH9=yrGJ413M*B_3OTF1Wdl`s_lR3Piq^xTngQ
zWk+l^mAsS74R()8VviA309Ssqxhgu(9&#)B`1!yJ5Xugik`GpfwbOh2#f28wNhj91
zFCE~6FZ~@2S{+JYo2Sv=W4Xw-dgM7`T_gZG@fUuVv6P_wQJ34>f?w=FreI1cNf-=8
zJhOPq6u~*8^w`zyf7vlgWz=(TMS*`qNoSdbB1nD9J5JK$f-42#KlJ(~Aj*vtThmDd
zr!d;(;g{TyvwOvnE2&Ztm2Ba6Gl~e>-?3;kX9Z9)XbnCgGVpzOH~$V65oFqIH%{E;
z1D}wm#HmO*IG*^IStUb+HA;7ir9KHjC!^El^<#PXB2>M_RfGuAvF!BOUBaMrfbeyO
zt_T<FPv}0<B*MDmH~f#Qi$Ut9(_xeuWr#Vfk@jpa5gLaFD+FXDA?4AN5c-T7Xa(Q&
zd@xFcgn8CdT9p*6c+oi7e4PaU_MEJXO;>~$VV~nXF3Z5e^_N%q{V5=(BfL`~O$j*L
z)n;<8%E1qj{6DH5RG3)leE!n3GW4__8GFzs4}ZGemc~VB!QVWdfcU$rF#ON=ke|6C
zn1`>u>-$(6b{ddEq{Gx9&0eW&MV~T!a}e63NYVp!!FXBqZW5>yn~r}hQv=kTG`N~)
z031o)?Foq#7~Nzd^Vf$2WC>%Pjw~Zs5k3*RF^>xOcZE+-1t`$hsTjVvXbjECdv^92
z(O}BS_XVk51FYjW9JX{a1;vtmJRj-0z_Th~_-C>v1ll`v+a=MVSvKN@d5r-a`1)#p
zP6Q1WC8DZp%NY=!eDbhwpfOxbOJm*l)PWa|w%<K_j|nR3igoJMrto*>xx+WM9=z|!
zc%Tzt23aRX14=eBVSuP<6e(c<F4ak$Dy?R4GUAT72H66(7ij<Y`l%sY|JI$>_}mPV
z2FDv)6s*8_)OOvLYepbPz|}$yX5g~rW9MfzHrRgKEFEQJ3`qq^tLS!25Reuyd@afW
zRr@+LPBVt0S=VP+Ne2}n?sU~KTd1bOWLdj0++c93g{w^9`sIxx&Bb;wY;bKl@`W)Z
z2h3FL-e$CXUoWYlY$b>^tv2J1GX`EEac^&LUFdM>Y><kuhtf~ohNgVR5JJuna%iT4
zyX>f((TqLp9C(!G;cNtlY}_r~EY!isf%3MH>;R)i36&mA25@@zHc#Au92}_>UN|A+
z0Qx!dw8=a@FwtU+<sJ|OZ9jMJ%2s<g<x&u3;GzS1Uw&v;_<d#D9;tA;=xz_LXEYa9
zw`;-aUs>9&dq35L4^H38ZCVLY>PjSGYbwB0vy_e&4?drCR?nrb1YNHy{oRFRFz0?-
z{hT3!UFSnLZ$D%QCN&wG`L)$yGe~Ml3rJzf+m;90n{1&}xs&02ObHC)K1;-%kilA?
ztaJ%gTgV(dbLiSM0cv@SnIFyN(BANx_4h~)s701|$Q4P$7tO4j5gQ4p{_m)W&<B8h
zJG_q1M~OjeLG}%`9|U}}>#eDl3xMC=K|Tk2en{<SzC36rkIujQxY`rhu(jB`baCH5
z_Wf(u-dAmqN9{}h-Zfsafn5)cVqGrJv8#5LYBE{!xc{n{#pGRUXsKZiZS5Fh`|16c
zST8J(YU^JUvffw$K6LX6iMUe}eNVzNwTpm{J70x*idn&xp|J7%W5YEh(dmqrsRT@=
zTz;Ig!4iI&Gi%Gg&eZ&1%-N~>6HxZtOa1RzEI6G!*z5c9M@`k5n3qQO1T-s|sc_+9
z!S)-aKb?7(YR+CQerrZ2;0me0sscX?xa74tYfn2jJ~%M($=IBLnR>AspxYd}IA=@t
zZ{tPRuaCl*%kvqj&dCmQF$WI!>Nw$Ier&uV@v%6bfW4fltF7&3P|y1*U%p!q1#;6;
zVqX!kMlR6n&t@}Nm&EJzv`-jY!+m0HmgkTW*680c#)RRb=Y@{-qImY^pF`BA^2p()
zj~GNR@4+6=P`5O3ys^aV>bzM2pKf#MRaRkwlxb92pRpwVH1*QY6(Qop9qRD?ItE;$
z(9W%ukwQbMPd5eM5wRjj>8Mf|1IX*@3>@aA@aOGIK8E#*I7rW~O`|bjb@^<XZI3iM
zZ#|^+tU(F6+vstz<8(-ycz-dXS_UWHjK!}SR>r#o=UmGYIvlk2qrWbcMZK(A2W^5X
z>T4fA$BLoD85h0;u}nFv*by6dbEg`{#eI$z^q_;iyWs8Qn*>xUQg(d3QyuTGGy7l-
zbl~hsvA&fjj{>A4?T1xJ82L?g=C~0ZPNh<wsZ}YUHMwA9W|)M+iUEQNdUVKsLOJ|w
zfQYW9fA?$LCu3FeqiHDy9a6-GNfW|KNC<diS{qNn|Aq=QhS$&`UZ5@|d!;h=wY)p0
z;iG}8oOU;05FL(QN)jnLqk;zl9aC3xsCb=|)fb#e2e$gQ=NtM}v7W;_Tuai#=9uE*
ztdDfSfudkbWpxz)epjrVOAB9h9#UImFrcQwZGBC<IvNc<DroJ~!d9OfB_C56Fvbj3
z$UaHJu3K$gW_M}W_t@u1o+uMK9IUrrup*;u2e0RY5N$l$Hnzj=A`_1H-n{XCo{Unz
zHs_>Lbnxeo-5<7Tnt|RNcYk^z1!JEHWqhvDLD>iGV_Gd{U~%*$DZxtveV<&<IS;y+
zkr-AJ6m1T#`yPK$7op-9dB>pFEnRdiHYe_}v4G1D6`eARsaWr7?;Y2ti&Anz>nj9V
z@Zv&*wvvM;9^DsYQT$04d6fOl5B9Mjhq#)3s$CN^%-DYJZMs;`|M-%@Jxl28d&C%A
zsfEA9)t>6a=%W2zzlXDNR`A5v!hw^cg?GiC9MRy>#q3_>KEA~oCRhBc7nsq)%>rRN
z$2RJqpZGcV|I}@uuskaCyBZC<a_40m4r=3Fsf#ua{WfrY>iN`qIt|-+NIadPG;AS=
z-1-#HhOaZ7hq(1<80m!CIjgkrv|DGXt2jV~Q1<RDei~w>VuKBrCYEm4z-8hLAfwtn
ze5qaw6`S0joyyX{^c=^Tg=m06uVBf~ep<M4+@bD=1qJV1C6CPA25^<B6pWeHM1yZf
zMHN~}_^V{*=eG)gKRyn9HQt)ISNPU1X&-g8teCj2^9;a3=+KUvRa8t?dYGTZuZr(w
zqRUy8%jfyLQ^JI(nEl=4(5}5oc<b(yV97#&zb5pc7ppXIPCIxi_n!iGWk|n&lL+uj
zzG~Y32nE9&J;Y>R5b&(E?e9K+fDz9PoRbA)RH^^*{9&^!&OPm(k6{526#D|^-jI-H
z=^AY=EQ4o$=DX4O0Lalqt~zcK#*kP4G(9DS#2wNN_E*?IUU`<&Wu%UFrP~;1K@$Hv
zN>JD+$A-mwm1EGNinCk3ku&#*qZzf?=x&k?NY>W<%37&{-}qfaoS%wffVW);@Yz6a
z-rJ_NT}l{kxcZgRei58)Kfn9QL2J;G&~)S3uZTJ1e6Pj?VeDjSi^fh^!TVl{&<6t|
z79BpV5Hu%*!tysSHEy+n$!tSapA`xi-8B;bEKdkWQyS02G+9E*!*1o+SpwejmdqH=
z6vF*VtFj|4Eg{0U&ZXgx93J#42)NTDgbStzT(_05;0?p>*Lt!Xnyvj~U1TSW+vgb5
zxl|Ttu+j_u_{icI)z30&P#B|x{xG^TEa33a=_UVVj`^(Uz7d!&f=v$&_S-61Kp^#U
zp$J_DzXqoEJx&wF+7aiy>~wQDnE&&<O`SBJ-DfWtcwY?LPdjgwRWpanZXcgI1xn+v
z*p5?nQ{vd+GabmAYX%Xg&GHWFO5@AvE>m}kBvN;8FIi`52F3qg1PiT@M&2=NXWt=7
z%rA9&$Eat*3D(VU*Kbm&n_2wobcqyx{kAP)aT^n2=aT%2zc2GS$&cE6UK(i+x7_ca
zXTUiYY5szQG;;r*yW)OC2IW#$67-W9kRRGWiMEl(g88#AE*+M|QI5I1rR6f`6Cb8X
zo{&aG^YwfaXXP+fe#dF=Wu7;b?5bFND~%&+*DQyN2pGCvN`yO&4#dW++28gusBoR0
zE;THVqHZF4&u*l{`k~sdv(II4#8WbGg*Filjv3EJ$<jf;Nqw|on=GoY{?yHgRYab{
z%#^JIrr^w(o!`g3%zx8oJA}V2|NrU|xyoWw__E*|F;*#ul`rpID-Tn_woQI*YZFYN
zj4$8B_#6R2M0(UjPz{GXyKHLrnS$!Jg*|J6<x$H0=Dy2Y)saewR~p%F3SA>6M@W7O
z$V?Z=2w;*hcS<xjVT&n9YIs6Y2oZ(i-rf15Ovckzbb6|nDG-Lw6s$>9#F5d`;T<9r
z^uKI-kSp92_QXE={;paHuj&0axrR#vdjj@)JV`c%jc0PS61kWE|8cz#;a?iaNe$z!
zX*31R@elGlHmPC|b!t=S0u`ZWDuGLQIS1LhEWTE#p{YY(Q}e7Q?&A{PxWkhU&YQzs
z7|H5rvVrGE`;-<2<uQG)*V2LSqg)tnBw<9;5$@{)G!)VKGPat<0E6aS`8xzM4z>y=
zJgn2k|E?%BmDV%Bc3WYYYCjo2%+%1uuIb<#g6>lLP9~&|^KO*BO~KyJc~gX~x_FZ1
zw}vcb2D7Q$dqn*-a9zMRy{TWi_(H)-rl89Vb{TAIx200C?vCrG$isU0<gN7D#!PcK
zEyJ<B-cQA8GlM<Nuk_F|{*bo8F$?(qo1t5MS`%G1jY)4@(!+1JO70H$v0$w8^Er~H
z7Vcbnv&nTq550N~^~swoVL&iJ-|)T`Dr^sPF|5$Ti<=_T@7P;`h@{hYA59u^Esi=4
zbM$b{E{;i(sWqgg`FDq$pdrtoy`JS|T{NO_-zg>9fX|C^_XD*w)T7n4DHrSD%(1e^
zt+O^DFGemQj?i$&%N@3fDcZQr>FUgj$830-d(oqEl!g~og@SHxpkYo+?N?p~K(gqB
zTVewZ=WAc@H~plE9g8lm-NyjJ--m9#6Hi0k6=wG${HSOa>ip-!Q-DXO>Pxw_Xqe9#
zycOO>!A1UO9Qp(Rr+E71v3xDmYd@2`mqEsthNGJf@^YZ|+84tXNiF<+RpprDb#>I=
zI#Adr$$<;knSv(Ed2x5UeLhW96~*tr;t?0;K=v~a-I#PL%9aLKP<55iGVNzJ?Jt0%
zC!w*UK?A=l(+q_6D&QxsjZ%rrefyKT1lePZf}`8kFhxJf;ZIGg-CgAX8D|p8T$jk0
zrZ&`}S15z;&@?#hB!EY{wP~3&85fg8rh-bPP(v;(DRB+Jb5k0}M2m#%EO(Y2mn1$F
z=(ueo3~(#B$XSi8j_j22t9+Vb`2P1?Dg6u^?i-95JbI#vj;*`~L+!$742kYti#Bkx
zyKFi~Pz81Gxk?7k3Zm;z3{CK{fzYesg?|H;ki}n8m=Q04k)N}_SvFb2SeJcQ>o^e`
zQ`;WBi{VEBEdG4Jz#7hExGrpsR>1xa2Jvt=A2vQQ8H>7X1=C(#J%+~e_+Qv(S@uyr
zv{6XE>+;hQ+#LNnft!H#na|^I2l8REUPf|_w<Y||N)TH3DvLbX6a~?1d`OzuxH+Vm
z1&y2;s`D=y?Dc2%eEQ3Wsu593gG?5<^k_wYCCgw`)|t)EF7xB|t6hB&ITpaXnCNcn
zFO6TO)21k!1hC+~o<S_p0y0~}dSaWTFvs!9WRbNX20yKDTYbSCR@(2~&}A=$$u4KU
z&o~O<&XYdXTq5Rhz&YEO)h~%*kFNK49~8!sE?68$FaxWF%keE|CGpYaoGaG#A{gZN
zEK*X;47ST}Pq?~K5`D!?gpV4Ep#b-xj>aoY_{PnnSYslIZ!+ROJg5-I9Er7b28juS
zcBkVaXp-1beE1fRktAkqDcW<sbeZ$X2j+z6lK9(l;~JjjzHc1YzCqZL0jZ@js|VdA
zQFY;%L^q!_zFnBV@Ogv|&uaI)J#t18Y1%UP$U-uBt#SLOBk{|e_q11xc`b?0LX5@>
zRb=tT%I~dW26P~t^w^whB87JQJuIA7%Hg3~=FNZJnZnmap^GiqQrJu32^c%N>^m*~
zDi1E0!s3nHNgs5iF|IU<wYx<gTe{a+++Ax5DIcsvztl^kVgEmBjy@4vzBFvvCus_@
zznn#+!euZb<M+AHJBoNe#F6V_zX?PQ>@qvZki~WVeO!U2${0)(3a`6w0{@+#({~e<
z!+d@rO|D)QWL}s1P=CP$7L|@&djCTXRpZKP+%Bu3^3g?`|DsI5Wm3G#VUd7smEBdz
zrRq2{7h8BE*aXx+`n<d=rho<`n6f*Egk(OYG0#vF_)hkakuxWvzv(|(NH!Vwi=Any
zj4^>z?!a(AsEC^kM2-|K_whRh`s?~LOrT|c-7S?CB_uy|eUbe{19xyKpPy_s0f|52
zryrWAU~xFLZ)*n?_16rA%ZZwTqr=^Kg(6jqDp1=@AJ@d)?E2_4o~H1=yoq=BvR@Ru
z07yW$zuId3V@V6A2G%Tj)tbVwaca_sNp+;n{L09c*2b_~Cr-v%(jnTnqy0`52|X)4
zcuuS6pn1BrO;Hma<P{DH@uiTl^xUZuf}$?2n7`p}wT}U^pD=GEgo1i<#SugvJ^U`N
zuc@ZV1fn2bsd3Ukdd5`4<90n<M=CQan`6SbPGd_Zg^F)F`ma1Vq>r{WYm0MUo577@
z``5bPsrXLV|J1ETeS8u`Ga6_xhk$C;>>HJuC}t!2Wz8xBTwQ)N-=on2lwEFld^(_o
zoM9Bz_A)@Pe_9-P$pQtun)gPThWmmdZ}*rP;96^qz~*5~Q0@KRs8~e9nl1a78J+s*
zAy)G_V$KQ{%U92)leMv9O3QIVQy&*LcU?1HvWA^kzU5qv)W!kLaFJ|FJ+zxkeVzWt
z2Kr_t7e5qh<I%T)NfFY^zN0D|xod(Aw`ShWila6bOK_?y?rS4AIg8!p2@oBa(pp-m
zjrq~SgG@3FJ=Gs3WGwgp;DYMTy`kC|oV(NdVUQ;Nh}|1;jfVp(+W5@>Nok|SheK)h
z%YHGG&^NS~#Q~qy($lMwXn3e;YBZ*mj4=rdUytnIK>2O<RoZ7Q%v?F1Ub&!-%BAmQ
zM?*RAi8AEirKg3rP3|*u+*L8-`gN5(VH~hi#VyWmns~s$`~YQM5sTM9-{j)Mfw(`E
z8x8(coIK)edap?yXaBo?$jOcaOK<WLT7opN^xm(=o-tW`9PDiEBF_QU>!b9|ffTG?
z8<FsHgEV?OR}6U%0_<bl71rKG#!BHVp$sWW6l~_6K79+|=C4(;dF~|qnfEE5$3YbT
zmc5cG*#?kgf974yCUsQs;Fbv&62kB=cA1G{06vmgq|6dkY#;em{=%0ZTh`p%vGp(;
zbh|W#w=^o_fOhBYl(oG0nR@7AcDD^|6>V6j@k0^ihP(YI%6M>djl4b8&;~wsNM1Q?
zOT@IvP4|q>bEEGchxse<)=<l=NbD|@#}iMSyLei-urf3~()GO+h~Hz?y`&THugPFw
znl~4^^Xkk8m{|eeC5ztm?`832v6i8kEf*#eou1siWC>-S_5oM&WbmPF`~kP!To~e1
z<^5oW1p~+L)c9PM#t&9UPuC+C+EbDp=UiFfu$Qn?Ekg>wy=Z?{zLp#BY?nA*Rc--c
zo~t@W8zqslk5X04!-LVIO5^L*EMQj@LF<-;B#syM=7kRM;1U0n#&>7U!EUII$e0jE
zuhq=FFTE@9)LfO^i9gGGq+Re=b3zOcvXU)TXL->l_Hg{pP&4=_(QxvTvKaE~liH>=
z`H@#Nw*JZ|CU7~)?iPv_#rTA*SCj|=luI}|&+uo0{vV!0c0^GecDl5m`9ToVqa!N3
zKQW*tS*cKWKm?P#JE#sm!U#K9eWsxdNMH3lda_jn3AutXfB%W#IVIVumw)J>PFsC_
zd`txA2$jrZkHyfv=lwmu^K?iVeEqveTNGKd2mfxoAc5n_Z&~UTI*=>MxXQ1H;{IUo
ze|mM2xJy9N*Sva}|Cc@vG%WXtlSNMDeeF^hS+$ioyWGQf*Zhu2{UC-xK|*cbpO^h<
z?#`WbK2rc~U%h|T;%GAA^_y!scdlIxT6>|?1kwn?Z={|}pb7U&f{>3KZl3tf&+=R5
zaHeCXbfhFEJtaFfR}ygBTY|3)$pnm3+P?Tuq;UN?<Ap>61)McI6_@|f80cy*7kh@J
z@XWT<*2D@T4u8!z&L}np<QArWd?1ZntCWHVJ(O_&Y}!Qr31isu=BWLO8!{MEwTI|W
zR6+ONxQ{oyjX`^hNMco*EFKXlOsoB-iVHu8Z+ANy!{k!_?<>V}_@3+MzvM7=9PM=5
zC}d*{n-9xP{_7>+xo*XRdyyneR0~{xmu(DPc3Y!86czBeXz$VL^JMgWx$9-(I%9A;
z5}DT@Mnt(o=gP;5D9gFvG%g&x+`h7OoTG;oajpI<^H;qZ7+5}e^}<bKh*!KA^Vwe+
zV-kP&rif}H1>_`d4jThQoF`{5pDMOK^;W**poIo(ANmsu6R5tl`$lcK8qQre9oZ5~
z!(FF-PI%;)0DI%l#|c&HC~fkPaiv-tUr1k69n@a-xcYqCkGUk&X@AdNoYleUm(#j|
z&rM;UqtBYMR5C6_tD>RevM)3Tt2IZ`!AgMtV(obfZgyMOKcc6POY5wIoL4cR_eQ~K
z*OMBkX7iZQOEy4mW6d=;^_d{ZH@r$Jl8W1iF=8@v2KY$DN<CHA48+$O?56l@Vo%tc
z0P`z`_@#q~A;&g{itv;A6lX2u8aw>q#~(xNk$lzO?P~!wPlb=MC^TFU`)})dX(Oaw
zVqDyt$^yzv_Yb>eFR0xXW;)JogeSa3$!4!D;Y?nU!0+?gXipUkCM6ppRZAi$PRbh0
zOpII26?E_@UqIXR8v`5>*NE*}Z39nLTCT8;>7aW^*ZMaN`uJia&!ln~8#ZzGw|=hH
z!54!A?LvF?(3i{cRGBS+`6~O>rmuBSy6Ha~|27>o;WO~PRs{fEuX(kqbnq|lX*Z<>
z8vZM>z89y-f!E`n4V*|F)UMrYK0Bw0_nFL*-%%WBs~gG<71F`r${YWJx;5}6D`JJ;
zV-7T2uFH@L(MBn;lbS_EWYnUbTGAZiz!OQah{k&~3>XY)UzwneUJ0wXlV>^5G_u0R
zsZ$GkNJc_8zAB@q)bX)_uN?T-FY-?HwI&*GNW1DFKtyu>;q~u&IB>B2XtQ-K758|N
zY&wJFP<a2TX9Fc1&|0iBZ@Z;|>f-aPHe+c#GVsMNB9a3!;pT3y4p1=WaaL<~u{a9U
z9Q(7<j02&*GF`tM$e3Cl;;L0Agp0@4&38^Mue-3O+ioHWkGsDfh`zDh^D8G*1Fr#4
zA9OV+epJKeFY~!$raY*WZgEF>d7cJ)o)zxPQNbyNHsR8lrJ56$Mrbx2Y~b##bnZE!
zgu+AT_C`PWRik-0@md9e4YYR+Vthx5C>tC1s4VG6%>&QS;_>Y^kQg`AyERoFy$bjJ
zc;NNDre)0OTYQ!^&~Dwg6zh@0e|5FxJO9nqJoejqba=`NY??+%UMyL32)G!ivth1A
zS9&U9ifIMs`$|SjYnR_2XS1!GHCMBRt!v~IX9=|2NmgU96qa6VPBXnVS5vg;Ex5mj
z1u4`wE?ppr;Y-(){P)e*v@48dmguu!aH-X5b$~cpE|!g_T=-stzaIwboVEbJ7;lO6
z%c7|MJu%4f_d-qB={@Ct#?0Z@+sgSJe}&Om-m_Tn_F|14S3rUB8gsaJlk(OuO9*qu
z6(l5%{Hj@f>FBZ6`(~ifH2FO3xFC8&y^{ZV;!n+*O47zw6*JJ#x-(*zEPy}bRwzf7
zF4d&F8_XIcGJ&EVzxhWWKeC47%>_?#p-J<Dfmt3V43NC*o~+}?)eqjc?0LqG^O5Qe
z3P%_)ztSM;?F=90OFaLXD76CjKxSd~PdaGzludnp%7=Tu8=YNwfENWi4!y`YOoyuy
zktV~%d??z#DzohiAATyc-YLsN2Wbu2m46%g@P7aR0RR6Cmv=mtUl_*iJ+t>-FRypm
z>$!Oop;8&4LJ}F#kRmCe6cH(sLS>bZvXbXSA<0kKQba~%%PfBWz0c=!{y674=X-q#
zl8adX1$Oi*;cSw40u2PD#`pBGvY{@i)T&F$oG7htROY=j4bE#3Dg%Ak5CK!WA~VK?
z+FxTQj7zD&TYqDn={FlX_2KX2!A2hRp~*S*i47Hy^yN0A6m|sM>Kf`zd}w^oHbwsz
z1*p%TKj1jTfu47S$L~2SfW&)B>d6TdusggrsCXwQl0Lkji{ri^5^QFT`KCt!&t0Of
zwJu!f8L!Co<*scgtmK|d`Y0JZbsar;ZgQjF9Xs<!)P)gK|Cb;C-6w;`hts#q#&}S}
z;Tgm16cJS8U75+~N``!c&yL)_d?-Q=lV1@RLvjus@J^NtMb>%+_8bCerm3UiS+zJC
z89tbh&`kolbk5Uha{}nJ77M{QOcK?&k{{+@Awm7I%Ni}Sf+$6@pe5f$8WGie@}AR4
zkgfAMZG=q-l|($rdFmpIEP|=&RT3naSq?26)DcDlnRS2jOy!Z6zBs1ML4xm;n5>d;
z5#;fpl`G6$0SRS<EFeJ=gpLoSQ~O2HeZf-;%E^kT^Qx`qIYSbRe~;>rb{0nxGLJ(9
zJC#u0y-cN|C=z5;3dv3UmOx^@%N`PHDk$SAykVK!+CL;>5oJmtf##asM`Kmdd!?Cw
z)a_)j)6DO6JT8N>J6-)@Rt<G$Y8af#B?DK%^|q$na_G**@;56U8c6qOld8P}1zvJ9
z@nE^~i2h>txu@*}^onC;{9`!<Y!Y*$SBn+U9<>Ael`XVTIa6|dnJ*Rc&YnHoRHulV
zPI(rg$3(<er&kniK!fXFydGlxN~rM3CjswyZFJ>oF(;Rr4&)mzRhg|Sqt>OD<vRq(
z$Zu{iJ6uN>Hl(=<eu$_dlKpwLx3|dXQqzf#Kiu`;<$jyWFrpfIJ9RAR@G==?JNOeA
z^7P>X@72{bBXy+tyU`UHQIHc+!h9Q>AsFB8Jt3#Bff(H+9J(ASDB+*WokyWYklj=a
z!O{eD^IfF%Avy&~&ayPbE*irf9gdep!vs`QI;Rl0Nk-xYiPp=fO`&18&=h~HCW=n6
zEoZ()Ml6%zM$?mKu<J!DukAlg^lz`P+iW!n9WLOi>r@9Q^-~S~N7q6>?)f%fV%0_i
z%e&%rKLPBCE`25Gq=njV-l&;a(?tCpzPQ9;bMRDTnY5&6p;q$i0*R*@$Xp_lxVPIJ
zZgt1W@ONsWnVz7)I~r=}>*6Do7F`P%`(eb%Mb|_OP<3tNhB7+PaxbDI)B^6kJ9@bK
zA^|lxFBn;kE1(7SD|_WKEg&RHzSucI1C>w=O{8;W(Z`xWyNX;3*!xvh?PQ2L8hA`9
z@UD?Sesx!Gy}x4t3Nfz?Bh1v$L~A?8dy)vcTsHn-d$0xEG5)Z8WL5=rHx~x)6c$A5
zF>f0S^(^4U^}1@#6lL_1d9)&Wk_+YVir{He=CB53qbo!ubi3*#i%=;GYW?kUCN<3*
ziho-@<!w?x>cSN{Qj;6_Ef#H3zmYjay!C6h_K`=YmMxo~J1^nN-5<M5y8(nr22wr>
zvS_fEaOeo*41WG6gNslwK;I7Knc^fV6dc6U{@}z<`~|y6m?=AeSH+VZ$%+!_$YxYk
zy-F{>@8{{~ZYCInt@W!0d=*8~Ipt*$>Mc0ef@si$zZvYIrU|px3Zs_oR%7&n*LaqV
ztyum8Q&7>1J^kh5Hk5B8+9U8W4^N}+e4pBB0$FdT56ZC$B6pWaLx1;scy)C7@IFBk
zh>kJye))wDH3iC^Tef<HhrRZh*V|_dhwQzCBB!|#r)A9d5wkM9u=wchV`)Yp%1}TR
zb>&2XrY95a{~+9>(w^_<upvkayte{Dc2qxLnlPu|jB7m~s?5+a1oU9E%88#9Ia0OB
zxglS0saz?+!0QHZ(v4+*#2#jJS@1ymRp%buIYUE)GNKO+Uq9b%ZDB-G7oH3HWq!xC
zXLJ*5x9fwDYTd4jQ4DC<jyvSZogw_4e`?R~d_BltC{-Qn-oU#SL?3-$8^OC5tYT9I
z^}sNIySak%AMQUf%>ZYA;V<QMoKr9Af;#a>R&eq<UVB>UOb*)=ZWQw`w`E2LvL2nD
z{ph!b-*MoW&~Tc?({_a2k@MC8(?Zu)%lK71T{FhDLuVep!c@$2_B#zEQW9n4=T>k<
zosJ!Q6&7*z@W}kvZZrspYIHhsdj-EX;>zhDyM(iD3n&}tr-Fwd+y1VTE4ZYfTbn9r
z1y6F&mGAVV!p`6iV$88C_}6xm)>P*;Jku@pe)0qbmOUw_Ra;l^(*d%6gBgGE`!#FT
z+d?V8Blw+L+j<qxH#%{xm|+tSVq4aCV5h*+N{m;@{3`y0wwL?bdj>QraR0Dt#uj&S
z8Z}2-)^I6lryB<HOz4}LWFnD926x|gl*e7`c+A*IqkSpN$i?w{S4AcXuAl$F>m=|G
z59HC^m{nj!RtDz|E%s}Jg87%?)vyhG_lt{z-v6<oPKKAqcPekqcU~Xk<zYbnQjl->
zkOOW1`0*s;86wmq$EHmzG9Za!)pMj&F2sUed=lQG1;1x(9gnUuBH7Th99FM*&>ou;
z=SkXHVDgF3DImp+*kmjJy<z4@Q`5cOCFz<lvfdu`!Hor-YML9oS|@;1%F1|O@oR$A
z-xuwLZ&*=MRd?d5>^79b7#%NuivY&)WqX9^>?pRe$Eh$~2t`RprjN)HKwwt<Pxdqi
zdYN*{UsYEG!LTU9!D<a?Y1F(ytLH*eq0<}ei=s$Lq^@W6s0LL07wP=Ho(CEAeD<5{
z5l6~Wo5y41H6Zz|`IX59J~U0G*d890M3-JViHXmsgZ-<*ykk!V5PH}p+9WH3?y!mK
z657>)AxI~ZV?_}C$Y#7?6D@}x)_eOu{7)Tx-1`!qcnTrT&MUYrj{;I;W)f;2QwJLF
zXS0o8!pJA$O8lV{ipa8Q;NBxS4d~pR%~O#qil!ZPSN+D7ko@nexbScdII8XO8V-r0
z%p~@+!{=3yG|J?1Vj#f7^BXU!Y$OqbZS5Bi1vTVsU!q)7Mu3%z8ao=@q)}>a?i1gB
zb<|<{u(3Qt6N-Bdb$TbsqME-qqm=Uq=-e@h#*$hs_&e;I*nL_aMHXLl5xSs-W{iIH
zTPSJ6kWKW_k6Sz~sz~gt+^>x$=N3eV|04nObAH1;Yl>(e2X;kc8yU&;MkO1JkYU*5
zpl+SLGGbQq3;R4vMhkMXv`^ersB`l6J727Vo~|i02h>u~SspDhu0u2kE<MYAUr-Gd
z?HCDhKSf2Gv6pgsdUU{AyZScQNp*D8wy9NwnTFmGX4=RRdZ2%4f8&7$4V0Updotu0
z4MiA=ZohA705`(T4i0l@BAw5*bJvn-sQxc=^Jjt)uw8T+;v{Jy_KD&+uZuJ^Y+Z0K
zTG0faxAx{IYZFoJe*A=%5)I)}yspu5W)SpG!`<*75jj|&aic^~k@x4u7mAz!B5KX<
zp0~77>)M{U&+!zrIQ@L>_aZ=^N_X1VA#HTy^-dukXEKVs-*rB>*&M73zfI&#YNNmM
z_ry3p64BjE8@_u{7LcXJaw0Wf8$CMyPpI+677t%Bc-$AI!#1f~g}D;iC^XjV%f7Ai
zcotpin-@ig@0lIyY8FJ)y&@N*7^#HVC1l8?_jHi3veF4u*Fw66y}qF{a>(^|3ZKFN
z9eP6KUhVB9Ac=nrM{H>l=upWVB)8Kc-oMKG%zh1|DwS03yS5Ew*XI?}^5~G6%Vc=`
zxf=3)y1zQ@6Bly1@LZ?Roeq6+#g`}NRM7M8m1Q$AM#N@|J(^&m!#z6j8c{<Tc~$IV
z|5-hU%P<>2=@yr%0_#ru4l5!L`9SBZFWPV}{#8>2c?+1Yu0Je#PacWVE<Fl*(}$VZ
zlxyC6WWJT>Bgd>8Wst%L%|;=Z#`HUFo*h><2P477pHi14(O9}-W5C%z7(IONqU{ra
z`l`bB^~c4KyVjNIW!5$9Rpg^-o~=I9{YT+hcC0XpJIQFRA@>hEm=N}$*$sm{zW*F*
z`UKIkHfg6E&nEV}G00vq$P6A`FWh6-%7^%^x>!8f8Q}3x-fsifO<}%SYO2nO3*l<R
z4V+{KNbio!#)?hg_rAx8=WW?g-lhbuB+dXeneq;5{l*|u-RokV$Ap?{H+vlOHZlG~
z`QcWA#=!kzs4Km30}uD9qqL1|U~i_z-_mv)!6*s2R4uIFF+XS1zOZg!({9QiPbV9~
zp|MqXTfcz&OV{x&OZ~$#t&Omo-wc3m@;UyD{WPvrdnwAq;4kK2mL9`TGJqkW`}?w$
zM)C6WKd!yU*0IW624@mt_2Iz-gTFT$zTw%56JkpxYnUX*&{Y1g9wb{6F8mp3!+W$?
z&+L&|!`|&2CGzdigE~GFhJ*Mke6wO%<Za0+mZaNmbEZfawvig5ujrRyHuq%TR-ahK
zYTG&O?@Q={ZmgNL9&-!UaMap0$7K~$JVwyAzpevXj#Bj!PF>hr<9cnC)2o=}{AQu&
zCJhcqUT(fS{|#H-snr)&vx+gEkUd^-jt0$VW?x>67{Y!UW^ZKZtzol1+lASdsKDA+
zIxWyNf~5$pww@ST!y-M7Rl0>zL3Nr<i+g+=3wFt*PNH>;Q2cLu%3lf)8rj5+CnvFv
z)bMQv?SHWyCnk;W#Zchi-%GC#exJs$r>E5GB{wh`NyqC)wo%}1Yw>FK=qzS+;dZD)
z`X*Ky@GWjAhYWIhq=G2Vc}$gkhLV`i0AuMy4H11ZNSZDG;Tu`N7=mlky>l2L?z30u
z;ubf*a0m6-ZRIk?uG8+_YbMb9LKr4?YJ=g~U}b5^Wz6qU?T>3q%<xe6+2U^@ZFq5H
z=$}>R3U*-4TdLoI6?WNsJ#};?!m`no)Vt5tuxfMdF5O->C@<Stl98_ki5U-netY~E
zQ*kRe=@H8T<$_n*SvEC6oa7$QQNMwObk#fvcjp3^OFsO+4{5@fr_+FFECYyK<Z|Ee
z;Q_|^Ps;D#6JQ`KC84E`5$1Pa9jbW52aNqmWAge0;L&^f)L)Vrcy1RT^|>JcL5u>9
zFJ5Q>>w2@nU?K~+1nLV63<<*Ed{UBwp$7OC8MA{b8zhl)((_z};O_u^NU%j6$eA&(
zKMk_OQd3xz)gNJy+Igu%Ge8{_=aI=;9Vd9cCM_I(B?>$JAy!#R9UhyQh#YO>hE@JQ
zX&IT~V0B0hKJ=*psp5@z2M-_Y5|2KRS0V{2cZRLZiniA73K~k82|(!3E?a>)Y1rIk
z{LG!I2L6gX7p-myLf*?vHFZxp2*^)+qq#L_`tb{2U=#vvzTv<CMg`yuPkSI%ss`~_
zcL_=*3q!h6;jdTzijcJZ6LZ&ZHL%saxq6>23Ta7vDOod0kS^e#%erfe<9iRLtB8w(
zLL*_dDqaO7>Oyz?>{5rtwmcU;K}m?`ZhimKTn!Fa))RLpX#m*BzSAX1LwuXOtO}0?
z5X*PdUPKZ=HfYrB(<xbqQZ&-1juT)#>+840r<$O5^yXkfpghFniSEJLwBW>XAx;x%
zBB%%V6-t&V0QZ#OLQ;)3OwX)d%;?qzR}zo41BVjaB+nLv?<IqDV5s-5Q)D>EbS@#;
zPZ`#yPd~FXrhsg8&D4&^6o@qNE*0off$}N8u_hrZa2-DN<1jM~0<}D&-dU=_k((dO
zTR&6bFY6W7vP2!=ON|<bGIdDkI^D(UPXkCQQn$6z1A3f#@-tBayf1#`65c@rjuNRW
zH&hH@M?BMP*D+0~Y$F9YG3!8>&esP>(FoSA%{zvqYk}Vr^uA+?23bj#JU?k$-tq67
zUE(7mcxB(242h>f6}9i}Ya25-<!f&w6{Zbxr>pJAU#YOm?IyE<CV-_8o?X9<1YynR
z^uqcmFxsMLvRBa@G>Vt&>yDB@RJ?j>Jdq5=3&fx>MhobY6PTzxP6EB4)YqOo+HlR|
zu%ZvL0M6#*l!LM)$niLSzAudcuOCwE;||ba?6`C1NR&2&-I<V&_@xTZgon@8Z1Hsd
zd8L_r1`)<PeB>6Cl|UnH{$nQFcCe{Uh?6~`1=&RttTThMuxr#?JW6^y>?esf-)GeX
zu1jRIwH`6J%ws$xz`Y$39i?kE12tgWNpOGhQ9(Fk(l3_PO^5DV#H<}#dF(Hk9l2@8
z4vgzo`$DeK;njfqgVWztz&Tw(Z>)9=TWYe~C!kD+xWa?cR~eMyqTkob`zk-NY)$om
zv=R#_8)m*Csi+9~wY?kH>{@WvJMy&iGz)OJ|D>H_ClB14A*DI_zi}OvsJq&w<{*~v
zSeD8o19eSmVkHljaPxyAu?9qQIIfl=*H9<{I_hsPr_}w$`P{CaClmq<bMjy1xgZL%
zzP2%Y6By8^n{8enw_=_i=c6qWBLoYJ6*i|f7?J8aSMxbn4E`SdJQUd^0KD2{b^I$6
zdLQLW#{A5H%e%R@FM$W_ccHI|R?H})Wqv5+iYdf|OP6<Tu*1Q^V@kH}%;@&fPqzuV
zCeZWrTh6lqW*|s*oJlrjMvs;Lx=VgB28#y%j|T}1;G#}{oIA^e_?QwK+u4jkd7$lb
zSn(=WgNr{LzsZDBTyws*(v3hs%z>jHU%)PYieT|lVnSDEk}pJDGXxGL8_SM~-`E+k
zeO30AjL7ar(qqRC12`A>#6To+7;D_e{65{0amyoi9O_mzfUb1Ys~P%T*vW;5#&kwT
zbZVD!MPj5r*oOvWT;P6#4dH?spK%7%b=dZU#CJXD$gsyw1y|yI?1VS>ZZn`ZTZId<
z7J4ALnMNFx`GWK5859X_d98MZVgCN7y5LH6pc9t+@$bDKL^k3WP)OpTv9K-9I?3!e
z2nra+pB*ozmlQD|rXyVr9`QP$&YT83D`U9Bv8e`)X$F+KR&}Iz>-{}tbz~*de&e1+
z;?kHMBl5q{-CG|?gT$-i<)_4F@#c{piLxd}^qOfuKPv+bPJ0+$_GFyL-C~rqcO7Ly
ztQ{c^anV$0l)LmMyng{tOyzKxlw(HyiYeK2UMg4-xpFK@|KJwq*y57@GNbqd`r*WT
z6tJCcKUN;Qj9;#C@eN*QLED@!3s`AVAnMGO>Hx1*{KB82(<?G;$RU<9`7R=Z^WppX
zxx3bJ&WfT_-QMizi(<oDqAM95&&A|>+y28jN{V%vJ2?=U77%VeOM*Tp+pNeVn|QZ%
z@I*}@7s`HND5$7Qf(!fNdJeQOps(+ug>F-MkW-xP)BRVp0TU>0@7eOrhNaPMzN&mk
z!1aca<yRscxvabJz=RpiZm4tVs0yH{b0Ta}rbJ*&Rc=ka%YyQDe2L(25Ja3AriAiB
zEihQQ9Z|*0hHkzkAG`fv8+vx&&9^coEjVeFk|3SKj{11UyuPvvBg4geiRTM6!M@;W
z)TA>fs;a#CVEvW|>Wv<mGBDMI#4M=?C#c-$W5c0-WlRj^Jxm`sJV*cwaqI-AE-yN}
zF*tWaPy%sn>^XV=HUZ{!3R3mG_>rcILxc;r6smO2%$ao~fR8~S3w=-k@lOloCTq)}
zGsn)1zAzxb8$p9{y81R$@khgT?SdR?;%wT?Boel~+cNpc4Iva=(EVs}T^{{M%+2pJ
zB|!E*hMK+HA}C$p-5y?hMRZYXRE{%{0MQ5hymJaf5tB>Jr&rZV=%De8jWxdIkEUIe
z=RV?S=N`d%OJfyu+%7!Mz)%w={|tqM?~p_}tgk9}x2Ym$wyNCa0Zp*DT)ULMLmGX^
zmuT<|RYzH)6PLGDX~7)ZlgMQsSyUHdZuD7;fJ!5C)qI<YVB)MZ*6ARR&Lp61ev_KW
zVTR3eRe}U-@;!{-qZN=<QcyJU84>w<?j!!^M224f<v{;BMfA<OFjwFh3FR@P%srM{
zd84G+uyHFRfmp+e(O5EaPh0t#;z|Y6;;9z8n+n3~53T>Qp`iQAQ^qZKX%Ls1^&|JW
zDr$ImVW0jo1zBxa@9O`n1OKrxMql4lL$iN$-icnJqCa{Eu1{Rm1D^u7+tOAVsHuSw
zcO0Q2N{@QSyp91ZIOn_zjvyfG!B*COVH#ppj>ro9X9#lRm-=3$Ya*L*d@-1lhVG3$
zc%j&13>5~+{t?MqsQB!SnMXBL6jhr01FJHHKdHy(9S;)`dq9808v+&8WLrX0G6wDr
zDRtJ1MAT#Kc0GAN1$mfii@n(TpLOf>d+*w5qc;&QG+tveVw<g;u0LlE*YgIh`+91l
z23+Mz>=z=62srcDN6P|k+SK<tle7`HTwxG<2LTCZ+dL}5EugLE*ni(%5m8pWR6Dw>
zh76oyz0YgYfp5*s`NXmoI>qK;T4bt>oNNtF_nxJL|2z0%zp9BoY*(XZkI19pp$CCt
z>2%Pl=cnt`Z+UFxQ&(0ODOB=<H|Nq_I=JsCmbrCU1D$9VF12zHK^OK)++PZzLuFi8
z+HB{R-{zj1U`70hjdSdchanvfNY^J(byQJp(2as>B{ozNTGKBvW&sr(j%H(5l#vdT
zO|MnUI{w-NM1rF&pfdW)d~>TJdgnCy!%65j9%$j<wO!N##Iyvh{bUr7o&2*2^_~Vi
zs65H7HOm}=OPbR9r(_Y~hijAKST{COx=Z!4nmP2%y3LB#NukziCE>kie_>du?0v2x
zfd7K}Ld1|blI<ZcIlr94a9z!HudRAS)vkWoH6?=B%nqS`(jP3^DKWJt6ocHadPJr@
zLMU~x(C@?PW$Z`8eJ`FwGoW?L_c@ISpg>A)Sv0<ay}?b_j~AK38I9(ORZm`&KkAZI
zWwVN<F*x7>?Iv)_yzEeoCnuUH{5>FHxr&_#l}jKont;pE!SrA6Sy6qw7jt3P3T9jO
z*yg65F+553Sd@-qLdHtZquk|JFl4r$4?ArH6L-7R#B4V4JD<Xp#!Z&7lS}-{Kg$iF
zHmIDVUS$pc#zl3FG+)BrHobKfXEcOh*5oy@yMOTbd=_J5_6O@wSz0)|*8tGtJD)}p
z=kS^jTn)#~7qQ5~bDmjw`f#&}cO#MIH}2ki-dbS)0(OZ*^}PwRK1d1*4K%(T!NYCh
z-&cjrV-^c>vwywx;Myyl996SHeARRQfcKj@ESutg^4<qsD51;TSgY^CT_^57zbHG0
z-E{L5=%(pHo2hd6fkQ2LIPJntENd1EB#E(K$kBnF?>HUC_f+FWZ5e5s^jWN`QbyWE
zL}%;5!kTGUeX*7{p7HZsv)I#+IYi&;o1)`N%`}cGENlaJW*VQtERR%Mh_chR{z(-%
zrtn5=NyXz*5yLFju&yau97BbNd#yLv@HVVs_Zxvr<gNM77v{6<RHz+Im&<VP#Evmu
z7>m3zi;XdCjMOGjU^0qQH~6X-i{o+IXj`4dto64KGl@~)cIZxCzpiiCf#W3=4JmV&
zHOFFF?jtg=jyaZY{u;z;V{X*V@14hjGmgEvLnA}cr^>kbfgvoI>y0HvcL8%gzIi7)
zfdm~>{7(FxKe6yqZ=N!<MJ#mfAg6A%Hlz{0RdlzFVv^rK*|P=z!S1Af<58U=!bH)~
zZ~wk=Ovv;@p6tgZtWkL1C|#8ZD_pB$`70Ax94#>P;Jy`%sfv2|lJ}N>sLrYZbqZVD
z^=tQSjx|gt@~n4zp(YGUb4B(g%wYdHS{@OdTgR9N$P>m(1ZaJpTPMsphb6SlyO#5B
zVCDDk4k0T7XiU~=FnP^m*~j;{9@k-jB0J@~rygp+eC&aJSkD565q`0jUSfnb*)Mtl
z|I{I6eM;(5z#oi!{aW7n87A;^;H&TSREPG~%R@y<%a~5pJH5dxEO1Zro7ZTI8YBwN
ze41xm#WpXuHoBOzfwU-t!I+sESbcI|eaF3yQPXa|t<>azz#nOqdX=i+G!)=BXZa7K
zRlGBzSaE^WtuG(#3{_#`F+a+EwTTH2ZNwi;;{npIz+Aje1$=md$}ut{e7@+NWUR~&
zDohbsI~`Tv#l=1MEOVJ)|Jf{esTBd(WzwM1Hm3|TXXB72umH<~$^+iZ+rVcrbILzm
z8Ln}vuZA(Qf#%PwVotI!_*mS{+v<*hJ0z$xOtXXO^@s>N4p9*MR%ac>uMCTVwFg@`
zxj<9x>}3+KI0U80%ijE<1dBKB=uusGfWBl<FJ>VL+`al$Q}30aM7${zALN7iN!D$L
z3Z>!X?aAkXxDp(29;T*$5r8-!RerUdauE26GVA$S36|u$gvuPZ0hh*V+yemxm}}|K
zui8|C&dpaz(tm|O^@eWck$Z~ZYTSHVV2?6<AZom%Hi<yc7|wXkLK!gg+rjVODMQZZ
zsdSYZF_4LETde0$g^d&4G0Z+Hz_$Aqy`xtGR0|u#bhf<u*h}TjW)oF#p0^XuRFsBr
zhZ-~A2@RN&9P<3NOARcRcTLIPl?A_%nQL~NnlP-Q&-Oh>9d=@I8Q~f75Fd<BJXY3*
z{{a91|Nj(McR1CL7q<7_d+&R3-Fxl$9J};IMhS%|X$d9T1C>#Ub}1<-geWEBbFwKT
zBn>4aqq3u9{QUks&-<Knp68tNzUSTId9x$KUJp7X_?C58)PQNNG+eJk0|$D$4y>ZW
z37gcY#%Ohz?XB3wX=MZ%_ZNSyNi_i3n_SL2mo=cYDS*w<i4N0!K~eJ$Xz*K*Xn&rn
z1&peL{)1Kwi1SYuWwW3|oOEzN4Mhit)iHa*B$*KR&S9yTjR}ehLApIvy1-%FZa#uc
z=*i#lv3toFN|lJEgRT_l<Z|yhLN|tE)n1RQbj)BNzAJk}H5Jr&GUfJdGKNDBoR=OR
zuz>23__7)a17P@v@ZMa(UkvE@<^6FLcs3jT2gZglxlW>dESCx5f=0(fYzPpYVR+r=
zrvZ2K&L2?202g1UVWHOm45#A?X5KVVz9zVE>nI%x%DQi#@3n!pAQ?rw7#cJ&lp^PQ
zX+UoMxcbdITj=gmx$M1*1_wCX!YBXf!x8)G#-AB>khnW1S<#RN?m23PQXRU`Z0ej<
zV_^?6YqK5;Cm2GGV1Y$kv?e(HEnRc>jy<RmW~Jvh8^GuL4L(+Ks*n#eL{h6g40^pP
zTo|N+0!e-vYLx{C?f9{|W_##6^K>NEkOGTdUN)?JVsKGJ$BgT)J&2IL>)F=mLi${;
zt~ZqnM2a7q9$IG)(N;fvJ8ZO}C{V-J#&L#V8CKg<G++lgH^cXmI-0<;IrGxt>itA&
z+NN!_+w4H@^tLw?esy?d)e(An;{@4zexpv`M_b@l6`M|*QGru>CQA<gEt0zehVK7a
zV+*HTfBe4qSrHC=y`+5b3On|@3JPaDw*j~1Tzcn{EI5AL7}0FPjd=-DMY`HHu=&v8
zVgX+%uu2V9vwOvhKZ&u<<{JP`$=6E@X2f7nbU!rh=0`*OW1;=x0Ac(L34{B>;8|vA
zFtSqsGrWSc47CWr#gozc-+AHony~bj-v#hqmA{dVku^9Ke07z4%mF-o4^NOBf;ikX
zXWOva3c{3vBfW-}iBn?D^~`<&JY&;Dr|(_`X6ZS62HWO{H>;$U3vUQut2ul6%Nv$3
zUt6hsDsG%8l$<Q-wH82OmGz^E9TxD%kl^d?`bO9vSbpO4l^+GS9cpZmw1B$z^(KlT
zb;NAVMAzIIe(XAJegp%}LF)KKmRMLVxx~lgX=2Nd`Df2<EhsjFhN;lX)d63~>q5nR
z0+RgbC)o0mO~?!~(gnWP@C=hXD*cRKaq?s4S^H1sdrbjd?=lW?PLQ#S!!Zsr{OG0_
zK>yKY0=u@0j|$~YlaIDY#+`QK#{?SN(JFfr*zjsi><srDS#%-V=lNrP{2bZadF+KT
zj7UwJe$t*N*DLFXB{Bstk6*8I!pIo3u8b#o%Px{unMoG{2L%u;x)=TwGC^z0{PD@*
zWs>jOfJ4|TL1YXl9X@T$1oaQpjSB9pm^bUF`=L<?_f-eDTp?HP-l!!1S2i2o-u8P_
z%d#*Y^HT4myD?xQtKj6<MRvS8vE|a5A`x_E4QkjoK!@wTOX<npoVdX+(xl;tC^~r`
zzjW+49fG97mh4Ko&?-jhB{fhC1+O;npHZR1{<a4U32h#n36V1Q-YkwpuGf*adL#IL
za&P6k`@Hzh?pvT$lmtH5xk|bq$_UOhx(hN*_^~3?F=*(aB&O=L<Rs`BL5R9#+tV)s
z=+X82)Xu+BXm!Q#(Wmb;80|m5uHvo`o^E1recLXB{Axk_Omk`QKFy`n*+v8nl`Gi-
ze#_#!D!0$8S9rl_UGzVOtthHnc%}De%HyWVw{7oTX|R-ajZ|JQhHes%SREr2F>>Dr
z?$;~4@ZjH<Z^sXdW7^F;AH^-os3>ccqNhNEK&b%j$0ZWTJCPmZUaEp!3S&#Ek~FwZ
z&szAxErpbX{_eVVReYmXFv7Zm4-@mzRSB2IwT2dQ`xexYcdXPL=rs8H>ohk^$lx_~
z)BQV)HBerw6%Y8(K+WH}jXW!dV~Qwma6}WC(gtn;X*Af(+?i2ku7D9%Lb;b(v~bMg
zjQ^W&G~k=nSZ-lc!bXRrx|_N>_$HUlD&5ftsvV`KXZn<Jz4@(YP6@iWJ~rS?UbPYM
z_vnkzf2!b+XiV9$VLd#4^d0%!mkyzpui2Ors)#8`UO#|}!O6J`)`AQOy-{)Z);~2|
z^D3HSG*KVp%WRZ3eP+O2iqiBCehu7uQgJAu!T?u2J=t-wfeCvAB*uR$YGPQ&r)>{g
z4AJLn8vCWU#-M7Xk=U)Tg_Ft|!Pk6fIP03jCOB&XmlOkD&zoqYmSse0bpZ`WO(@iD
z3^U07QX4MA)WOBvpGQRpXsETd_4TEAa~NgDg>P2YMUl5db(BdOruDR{@(o!)&f}cw
zv?*OYvq<Z{(@w+I*<OzPb*tde=xw8|*?QR9HAvqSPs2leq@T!3D|oz_)8(Nl1^0VI
zeAMKj;k@+QidV7(tUhtQtRbC()fL8B-=7=cy>%hcKj{F%G6t`d-%+rlX1}p9k3QD7
zM3}oY0SNH$Twni@f-l7{G@KEjVE%IJ!c|ur$n4o~nwv|(?PIhilTIB}ugSVcDYt<u
zYkf3z*HExMtz04{LJQOM#r8&v*n)<{X20C0dZ^88b`Srfj++eS6E&S}LDTxeoBByz
z6bn(TetAR{zrK1iqQ1ix93~FrrE=<`tK5d>W>qDm2M^UGh1o(3W*M)Z)ke1eCiEUA
z$RezBf4*mvExhsMZu;J&g&!xPb2*$P@%b&!tYl+bfZ1_IZK5VdUv&|Q+AoT&3!@!k
zi#D+CQhvUnl?J*o=+7gy1TbwAHGXZ04G4K#R*8?OVXna1p5LBac=pND*wC#uu*0{b
zn7pKlfz>ajyZ5l7&$<l<z4>fF;Gn<Ma|ac41|@x;wt2GST19qt4#2Ciq7D;QCA^Xv
zn-Uu|L#AC#U><V<2oBjlxi(cE#odF(CR)eHO6T7Vlv)Dpa@3Cc+smSGx?aq`kRkGV
zaYppHd22YQkvwu-UK*vx%P!tB>?7?I#|~?(=u7LBr7i2^B+(!~^xu~UJ>;Ihdt8He
zTEQFTYCVRnI9mN2Hyh*pNa|>uh+Lh$3Vz8{pNvZrMY80qX~0-FX?HjBb<D6O@NRvO
z-z+GCdoIUUMGkx*-D3koHW*k!;)Wrk(Evdl^XvXvdF(SuuD5p(KWG6*9M`RDpWwq<
zEfdp1dM{Z)U2BUC=5WjWSwmtI53;#!&h>oQM~awFMQl_whv9U~YyHDqn0a15sxo$v
zY^>`$-*~_b6crm?4?1xoy(6}~JAat8NDpM2?=*$$4w9K)zOmzHtLHDYWq*>n_8j8P
zrl!yo94Apx%!Wk@+p^i8kCUYw)lW3<n1G)WIrQrVE6z4$ecOwZq@nGp)x&%yu<wMz
z`Q%?L=p7k!!n1Umyp+ND;ol)+5ZY*8#_r03flIHLS8IQh+jqTs=seDZDV2W=YW^~5
z9Dc|9%itU-`K0zi)pjNbv1%yQ^DmPg9fE!B^7G`odnI}62N)23D&zk9f+g~8(WxB^
zI~K?*p4*E4Ze@URT!g67l_jzuQpN91#}eszyoBS?2pz`CGJ9mpmPiwp-{tQ4EGYFj
zFDWRJ4xIr%MYt4}$u8m7?#RK0-C+zJy=5af={gkJS+Y!SFYk)HwwE2hW_!_iQ;cA5
zz_VZC4lG!7*Yi-?BnPgxJ|--zX#^_IA4Fs~u^^vwuh9K-Tv(cEAmUL;19}c^T4^^c
zdP@y#pK;_t&AxM96Mi&s+oCpIqsxYU2SRoZs_<d_@B+8mf+587yEGbcu;V#CBP}6i
z0i?d_2z|ZA5MFR+Z(6g!j#_rZG)o5|JUaJ8f8$*PaLjA@XC}^x!|U}Ql&lrO;uMFk
z0qh2FmG7o`lrtArPe0o5BUu#Nb?0kugzJM_$HvU(_qfsSLq7kmVKJP1mt-|GLWLGV
zQNaZjUSwBx*cBZpf&be6>u?LF!r8VTrblb|uy_7C(|=A9PqC+2ig8k*JTKO<Fhu|@
zRq`3(1=46*5~`m4hyoh3LpQC@3gNCTFCu0VWzqSw%=@MQ3V2&TC|=qif@6+kid3>Z
z7BDwwp4O!RakGRc;*=<MN<R{4eX58%gn6G>@KS*N<_r73^(*~V>rQWBS3!}%GyD%(
zDIm>`iZZ$q_-EBdt`r+p{53=f&P!4tocOA0oh^wTvz4C=FRNkOL7RY<H56EX@?d(Y
zoivX5+RSh-spDgLs<_2n3S@lA*nVeO207FltBAvz=<lBYt5JmtR%_4QfBZ=fP4`Nj
zr}1l}am_P_!_8EP`jdN8yITSGuiw^SkgJ1ypQs8sdHNuB=J@2J86~{&RA%WvZ$13O
z7v(%rZ2)SWdrthjs)85Hesak3Q8D!!--#Fj8Z72$5B5~6qQ|(lO-Q*uHpQ`Fd^Zh3
z+g%d1SM>Y9j7~n=HbazIHiMW3BbdLawrFClfg^rjK6@Uaq4nwZTl`<>!1$$*dGxd<
zDt<GonqwMa{i!qSc;%Sz{#h}(wM`4JKD{?n(`kf0n|7c2e%KgveGHjaQabpQV_&7O
zCmp$SIhdPRO~LM%q#d~HVk6zFkLw{Fzug)W;Cf&Nrq6F}d3aC{dG&9W_%_k8%eS8{
z8*BmR6bH<PPgC%B5Vz!L5gmWMbKA4pa1|IQ>z1&GQ*rWAWU%HYI?iUt>it-<f|Q>%
z1$<O}Tz^SUjahAkRNv&1=o$i)>Vt0Q7wO|$McVb;VH$cm)I{XG07wjTRQ<l7kB6QK
z?w-DDi0Wsw$U}#1;K-D;Y7(abO8A{Ou3gbbE0-u%Aq`vDne;E9r%@k|y51{gRb0`x
zn&^9ck8R=Yu3IIYYxJ=zMlj{xycXJes=oUmW(NlY=hK*Hskkqs&8m-7#|dE)$2{%e
z%I3X0HziUqP*`UD{zMgw>>PdeI@}IiY->3`ugrCe(ETZuQ91nTW%0UxmmP?3n{532
zR|jWWC1<25lIYT_Z+CyS9ei9It&2RQjfo+XOO$b8?2T{B<`J-i&Z@S<zxy@uNadjo
z(sf+;O35K{@ue-ad7Fg=g9ZvmhX0y>w@4;!om4pJYYSRDd^>(#Q$w+|TD!~7CP)wd
zG%?<B8?f<0&)dIM@Wq)lF$?8xax=X}J^hFcNKq9y!d@!jQ;&_ZN$%A|PYNS&FP9Bm
ze*bhGB}X3ZP1axMtNli}+!*L!zX0$~Hn}IEN(On(70rdY{UDUhwE9hD06xSHJ5hP1
z@c4et(#OjaM5a&Xy{C=@T)C>X|J+G&w5<)bGowxumbKg7B?no<uwl-Om%b<tsM>O~
z?3f{5igisa#96`8mMk3~Ss_d=n@)%wogo_g#<EZ6uL7TXjxIGTKGdqK3xC%$Lr5fE
z;a&ID65ROstu3m!knXf=&8N^AqC~Dd-d5TY^hM5jCf#Gl5&tc@A9ALNe?K|B)HYZ^
z;E6~Ntxqf%8{T|fr(%lu<NRskotx%xkb9LCt#*O5)1NAwEuJKdKb(FYIAjLC^`@V;
zg#01(G<O#9-I*ZHOyBDeFgJs=@q&{Fl4r=E-@eRgiE)B8O;_I~#T3$WMJk;2Cdme;
z<C9mHeiAAH&!4>gX#$i(=Sq);{3Ly9FXgH5{2<yNDMh)vn!wsSse@=TM6T1|zy8!>
zgvk1NbuRI#F^B{eZsslMBQwefFaKLZgp5kvYdd9QXkzF1>>JfX{_6<PuBLq_#E$h%
zI-O_2{?`BUBF}Y^b@RcsWq${Vp1=h09jr`%3@Mkc*fuiXM#s2)uAjI$f2Hhb3<C`A
z7?h+$){*0Vt*0OA^%I4KdN%^6>0oJCGji4OCCRX|t6Y1rj~L!+&@&!EhbqA%7tW;L
zBUw4vBo65H5%oJtG6ZIf;I^WeQEg-z@%g}|P1Q5sh%ZA?(KiknLHJ<L`DlS6;#={0
ziH~F7hzaXz-s5aWP_vh!f1Rh2i1IPDN|Np)j!d;Q+&xbN$?&HcWoK)M+UFw^qkH-Y
zzs<Xfe<-f_iy+>#fWk(Ch1qK#JlRK7Y8QK+4>W|?*ZUImF1HX7Lm6MI?)DRYqD8le
zBm;0>+jj21?6*WiN&oiM#|MZG0p_=wGJSZx{da)i-wr}8S*|WOagexeVa+)|Nrg9N
z#TBJ%x(E*ON^Y&%?}X-80cwRl6+D$5T}aC8CTOz-DKWHRq9od)YAlQbQtIFB34u?9
zfl0dVOv?zt6~K2j;+Y<(+x@GuywF1kQ%1L(xc7q?W!2-Pu<C){i(@RGWqXOVk^Jm?
zPks@(vx^jV4_z2<y0CHl#5ZCz=I{38#c{$m&f9V@TL-d!7t;Q)^b;Bs#Y#cPNrJ{>
z*GaPJfFaAYHU0Jgk=5ZR9P?y~=o>$KDn3XXe)AN!a%}!itX`(Qwy>We+BU~}>ep)l
zi>Gb9nC&pZxB7M9U)EWoq(>p8n5G4hI{Agp9;3ukfmUnt*c{Pb&AcmjM-!@UPVvsA
z{v=R(Fv3H4o?s1e*WN9r3GzwT=398j3G&v~k9naBgr?Q$buSY&fNRsEme?;7#AWt3
z1=m@YiNK7`gQ`3l;CAB1a*@vzac8YhRrweT6#i7BHYKV<oa^y9o%w0vhrA*f#<Ib^
zuQq3Yh^d1Lz5m@z^>5-9Pu#k5HXOkJ-){4k3^gd^J!GC#Hb>01bE;??aDhPDYQ8q6
z8Vr7r{n<A7mw56>UaQQ72Mo*0twLK>;lS2yA2nAm5K(-GDvo6FK^6UdJ2gTT0&S{v
z!-tm$7RwJgvX+7{e*NsXZaGzW6#M03+IJRsY@#sa&nE&75fAOXnpNPB#QK{2V{9;d
z_vT!}Em0^lHG5N@paSfJ2fVfc2b}c3C3DwX99Wh#%_7`Y;8Xba!eK)$cwM<uA)Jte
z6vc3BC9Rb_#<8DYx${7#6Nk~1w=`H7tM)YWsz67IYI$1@AK0yZ=xCcI3!y>Wep8Fe
za8c>MJSPx@B^~+2QxpZ5-%`<ei$?_lbbd{@@r%F+W21iAm=X|kgG+9DDnKFgHm<oT
z3V&4VpSb^3fqiSQo!lI%0vkhvy`tR3p*bV1-!NSbX8&^8eW_Q0yZgpj%#0*KDI_9U
zWUB_eusBR~xT=Ew%y^B5l{8e;o!{c=ss&_u!H!iNY7qCmvdt<+7G@TCdtLl=fE@cL
zsxz^YFTn5ZRKGk}aGGr&II9PBc~PNH<uyQ~{Kn{mlS;5PfG=2}g9_Tw&iwN!nsDHF
zR{D#FD&VnMG~A3~2q6z^PIvffL)W4f>zIxjcyPx5{Lo5+B7wBKk#V}v$Um-INUFo>
zf9s}>aMB?r`j}>s3>B#T;;lnFG{L~Tzwv?*12!B~6BAc81ZQrAmmk!$LBZooN$F}P
zaEK=)Q$38pVfEqXANqB`gxf92*2)+T`Tf`)?6LCy*Xald-q(W<&$T*3myN--aCAS<
z1!Lg4((%k?BNe_zFQ)1qGl73);&U0SW}u|A)yHmHAJ$iLHe7gU0_0=9)|lHCaQ+94
zuYQ{$gh$V7C+#(X2d4$!QN64{-AA#a&5Z{Ab;rE48;rruXnO4*PJok5MgtxVG+<T)
zH#R?J!nJAhdm-y>AZy)QLw-pk@Q!R86xU!t_JrTSOoA;Cc>0C}%?M_X3Q`hHjesX?
zqTuaiJBT*7iY!^duj73dzh+(^7&*5}qxaZDUI0x%vcFmHz(5TR77E#W-Bom<y3RmG
zi`N03<+$A0N6<j2#4hHSq6RGc9uKbD<^Y`4yl$Vx4WWi_!t3y6B`6_=wE5#5R{m`@
zG0P45&=M%V>?|k=Id@p~8+SWEru>i6hZ`tRt<f&@h{+2J>63+3nhxNnk|gA$tqbcG
z_FfG8G(+?iJH?y5v<HvJnJM&-TEKIDzeM`(HnKETvL%&i50PwznocJ)z;;;B*Yo%v
z(#iVVb)VaIz<X2_?f<_I)wYyY7Y?l55&bf4*%lT)*b6@{R|b2FKr7#Ud>F@pFXR1f
zL2k<ReUG<1#2u}Fd~sF?cX;jLeM#DY(6P_dIzwr23izfbAtH)Rwk?lLv}_<SUQWi}
zMI8D&2b{{~#PIsf4e#pH05;VX$XV_Z2Hx|o?5Qus@V$I#qYE#9Uvbq~R3{JkUEM2H
z#V3vrHq<b<ga|OHPc5nGWCIA^Dx$9@jydbab@s?w19ex>pOEHxLi|@oT!y$f@@~Ge
zahzcVV~$C8O*keAmX7~w?8d~f!&X;r&!$!2FOe*$wZE6}W0%s9trWu|y@>YWi<S@`
zD-=Fvd4-VuoLzGwSquZ;GV89lTYvy_<ha&{kK|<3WB;N+F*GX8^A=LFfQDEx-8#up
zGXLjCBV7<fT3d*X+CFozdA{vQW!V&Yv+DaD7DF+#|9IvC-&-^2)mNS!`7%dJWV!U(
z(8RF%m1&@gsTq`1{W`TFVSzl5dPYOTQ49mBhCY6|Zwjv&j&0uCS@5X(osSSHhI`61
zynAI$!GBX}cV-|PZXHO$if3Zj(i7(S>9Psjat)Z`Fy}zA+cg`)M8$D5?qT{J858Ji
zU)${bhZ86LSMiU<i=$HJu72@MV<^dK9ln*tz2XPst)GfZ;C`v^)eO2Z09RFaf)g)3
zG13xLFOxt;-?W`VjZ6qkuNxB`;KMZMTURa~k;M7<fBCf`OfV@o+gN-;06%rPxO!}q
z!Zj`Y1?Tuz;=#YiqSS=2&vxeJGgoP(rB}Vnd(HrR87IZrW?@WClo;d<l)=IBtyV{N
zF<|s?wbt`$5xm*jcIis8EPhut@eS2xz(!*^(||{!Xf3rj=t`#?GNY#7PyV2TXjj1b
z7uUtmHZwn#YNmis%D1QFm(ro0{Uukx6>+@g;YRU(u84Xte%SdU9g0un-K)uvK!eU~
zn=kIlIMXB>b#@;e+)cB#8ordowx3Vr@5HKLxbpSewp-}XS1Ka)tX~R)ofS4a?NY_G
z5ix_Eesr+SDEh%vl0kA^!)1Da8pb~IcjF4C!v!_vV%MFrXn!JWzmLB<>Ma&j86Bhp
z_tN|U?*=(E|BpK0wp{~xb6o4B?$F_E$Mn&)D}9e0-SmbQqlw1GU9X4V(c$NroB0)`
zinx<1Dw}X#3#;FD?f#_1fQER+g_^a>$g3#Mu*=p)HJ>G6slyETJ^DT`@_-7?yc)ZA
zsZs}(5BgTz`@w*Whh2Y<xu~Ly<rm9|R$Yu6rq}sLFd;(NBkroM8lIN#e6jpa50%Ql
zQo99=;f6;w`v8wRZl*-UKWw6)wnP`jveFp%?tOnGKcbErZ-dV&XH)T2WZoD3_!Zuj
zGOapMuYvsuH)e#l>SJSgd|zRpDHzm^AO4o1iH~Dn_;vr)N7u8fp0l`_L2ah=wL1}7
zD3QWf{58-3MYtYj9C0y+wQKaQps_ZVUrO7;nreXO@<o%cZnS`??EZ_~BifiWklM+A
z#sDAOkZXRw%M#+U6C7mE=pbz!qkXld0qQ2^h>xCJ1v1g=&pqPTMb4VsqilKlD1Bq_
zT+<~hxbZ4GtT0j+{}|4e&va8U^iXy#$8Brqc8oW^_d*wW>S9u_*HF+S2{X8^5^#QZ
z<XqlIT|7`b@CWwm;lopD{I6C4obo)&`mIYBO|qTsM#puKQ=e0N_zr-D0_JVW(?#1L
z_ia5k+89O)X3w5lIiq_29|!z&@zFndZ-E1vIL>`<(4Aoe(K|y^E)MFT-iMt%F4xu3
zo7D#Y1lmAuh~^~=7ai=jTGUB+p^6(4E?Vqf@zE1G-kcMcwXx~k2bTAwGB#HQs?cL?
z!0~Ez^mMfr9;h%5Ji=7K2r<R>T?cL8X1*X(__HSJYwtMS-7AB82@R3r02}CdzkAWU
zUjriq=UR`pOX3yR4!bE+8`z1PCMLe9W8KOB-lvO+<GZ(qjI20p;Of=yf8TYe;eBHk
z6UPT4=x3_SnqLPHGE?%epiULt%6?T;C<<crWq-{zCjlf2lc-P2RPc2i<G(wXd2y$~
zO~%LyortUrYgXK&jMC<tPwmL#!iwh0;@jR3khE!=aM6B6l>21IspQRpjr?=5^4bIh
zP3?L>O_RsaW+Tnovur4S-i6)mm^B<yFCC3~Ba7C}!~O>utaxoEUVFI13aFHALA%vu
z&{2r@u;m&S>@kTg*{N#<d@)6zSZ+w6g3p6M)q~6Ajc41t*-xwjVa5@I4MvhUaJ#O%
zmvxzZ|H!}jTDK)!dYP)<HzJN4Q(|1=Qp+Too}BDtSi<M~+!N=j#ZWSrsoipSnRLs&
z;cb#?0j<6ndYu)b7-eqGvA9zAa^;u%GBf6|RZi;l=l3FbZ9T_dwQ&|)E$gCC>0=H;
zwL04`i-=&KP}t$vm#j$Hx?^TTwHZ|JnJrFk7Qz^NXphZi!v{M~=y4mFflrCA<(eWv
z9BQ~Xm0iS+&OV-^KQc|>e*gdg|Nj(McRbbq8#S)I_spIbmuru>k4q_viqO!eN!ckY
ztEDuE3YEQmC1s?~V;4$Ps3=qj*(<`&@89z}ujlo8zhCEh&N&+l>J(~Pxv@I*9JBvt
z5^mk(@kLU?2<%kY`j1L-qtL!NH77|{T)D!zyYQ|d+?rNQs7>NRy`ht30e);ao?s<b
zDQE~c7k52O-Nc0_N3)N<9AZb4)a;G>?ioPBO5yQY87|y?PI~yEA1A&q3Hx3oV*sAl
zS<RRgxlsQI(Z?grji+MlPIl+(Lpe*8;jSHAC_YoP6!e`3JzM{4XSC3VioKsKOEbC9
zA(mk^6Zw$M@on$^PkInQYTsb3z>ULK>FOW)_^~3c##6~h5B_~@p7m_t#<i95s^ilF
zSgi14AVpXYYNgf^e%$0i&4t&)j-o=?{YNTGvRW4&U5^Y;4dq4pjggyU+l8_027LH?
zS{Fv%i!^<S=fer-;)Ayyh+yNQJy)K*E|@mb``J(O<AlUp=0_`{=zEoVCjT21+^p#p
zK~e&EHdNx3*LiVNE%3^@olb?U-xLk)0Rc2FrZWP!B)VS8)?@Xif>nZKd0w?3@&zut
zQ7WY{YS7EO*@g=3%HnJniiGgd!F~mq$PMW5+NQZejS5BSlU~|o!dNN~YnjJoG351N
zNQ*EP$Oj#ITsuUt)0=(eZ>b#S7bN}_;-SLg;d`}ytYUcQ%GH~lHS(DK-p9Q`kP7*e
zxx~+%;`l!MNWqUD1^nzqFlnn&;Y?WRgWhKnsOH7`oI+B<jZc1kuC$}VnD}9PCv7QA
z+~<DT!cZB{l!=M|zO+97bIZ>ml*ZC;2h<kNso=X-n}b_g*6}P?q1Pv5(Auk<H=;xp
zE0tCBPO0m{PP?Hat%7p6ci+`S)mb$>aIPr5BSja=vsdrtF3I6A+8fjK$!HT6c5Fah
z54t5dp4=IcM}F)15z#Xm$k2EBdF4AjSlnARlhdbwjyu13j>c;u_}o~OyrB=rll<zg
zeo@5Dgy_UXmKM^4&YU)OH-JmyR@wAVN;rCVliQj56fEA8R(IRk5acD=g6!TZ<NIQZ
zh{Yq?cqh&{yyl=0JpJs&b>)=`7VW5L>He#YaTeL}j-kfzrg_c8DMJ;tJaSIb$T~Q7
z6eBZ=On}ABtu8r84L9wbzbay&gMRso)b>$R7}1?L#%iLDUyoD;evr_?*-GKrSK1qa
zMfh8!Vy`+<JB(*p3$)STVVf4+*Bs)ed!9c(M8<mdTNwx1DHxa_+38Va0X)~5wy(Y-
zBWxM_WSgml#l~~KpSx+$ZbMWt&63eTq*T~gOB01Onp5=s0sdPH6Ycv)M$;j_k{v!|
ze3Y-n)$#|RHb2vVshf<!bBB02FR7tg)xo>mj+W5GyZNPEG#SanyC~NaD(KqQl9HEZ
z2}|3HZYZ#lQR74h>4~ut=4^fW%;BpgY@1QPa?nj38P`@5t}`iMQo@vS{y$5Yocw2~
z7^jBNk;PV>FN>ceN8FFH(ILA$uq6JmDylFh{^7nPh0>QzTc+3fn%frk+(}eHm$5XD
z=7(a)JnOv6|GOnz&!U;ST~J2aOVgE~+`{-f<;s<_C6*8|wcpOhK?z?M=t=DP&X1a0
z`%m8Uw*<C#*>0z$6|u6J>AgCY8<XEkZ%d_ELdo8XLcT-tc>I2`g`W=_jy!UHEc_i{
z`cTvAnKC&Hr+h0{4ra!?%F-V;T?N>ExT(xtL>8xQ4L#K93|JTWs)3>nz_PpK(aTTL
zsIb4`m&?gz;>lR&{6q!~Zk<>Sx?3WN>EBdWZ$vH-3|6tylfxFkHC1h|Unq_(?leky
z;Vj{}^XX52O$+e*a&9oSMHKBmERl@srilv`O)tc}&7t5}LG6FMBIwccM)}f{DMGq|
zhssdC5$fO2FYX8w!i68#ec9Eg2$zIydzhIv0#DTa-S=4p@c_rX#2fP|Ldq|1w#2~<
z8f(<Qk}CKyV*JtOpr$E;t7)IgsVAnu(j>bkFVBZD|9CG%mrN5<msP3m3nt)MZZ23a
z!h=I`y~lrz%n-_vC%kKSnn3pC*$!eG7rtHCZ}ZuGj`;ofLvP%F#?W!UoIkae17)to
zR6P(|AV@g^KJSH$;oOzCF>id?@swTTE{?@T!iUvpB>bWg81>uC7Vl@nQU4(cSH@)`
z;c$fZ!y!Xx@%l;c31Y>@qtD(F+AGBG%9>_zS3~eqgf!0AENFGYz0v5>8o}S&nl{^N
z0CfI<%SP5LD4gH#{BVf@mjyd$nwt$^_nuO(yipQv_N~e@-^_$UfBq0yrw@1P{nS>f
z*8Pm6T;r9&j8kz2k6vujhn*E!$K*;$_&Vl{$X!tu6x$%~Db=b6&z^1-InYMJyVeax
zfvK#R6q*_F&sh%+(cY==<zqqM*>6a<U`O%d)YsmFx^Q!$ja$%%1s8MT0#7Y+;8(fd
zN%t@4LQ!9|(bstv46!1G7qoF9?O9{}10mgY|1y#|oWhEwP6eXOO*|Mzsc*_Gp@Qcz
zxsWt>HcYkQ(SF>|hx#SQDDzHKIC4=gX54`t`vmfqd;|ngpJCYW<BATfZ6CJo-_L>j
zUwNc!+X$i#(?H3+0v*u#ob=`34NjCAIpF^Ft`Hu&>8YA|SO->^U0CA>xUg7Vqks2b
zVSKZVZhc{c4k#2S4-LBUtn&x(QjjPPB+toguh9lK>e-wn20k=t9nmlo6-SBo4=q_P
z+F-@o<karLkGs?BOzqkwQ0ivw(bzQ#Y&>?LYwU;sw*INS=Tabr8m)^Dnkp&a&#P1R
z#a|HrI~?NpHfIBZ?C<{L*D1hgDdL#_SO`xzG0ZhI$zs}W<E7WW6d*NyynX7YFh04k
z1*b{!XzsM9EGb}pPV5I!A-X7T_BdjiWTb%Q>b3k|?@^%3clW-~N--Rb*Kjy<Q4v|S
zrxQlIC=hW>et3ty1nS!Nkiy%P@O1A?^aXQmkQWnH8Ca3TUALvCjCEBouWoT9vPBzC
zHHcZtzLCal1MJM|PgL<vpR$y!l@46r^swbbu?#8*Q=13G)v>F8s(rOw2ZoA0<I7y+
z@b#9Qv#s%Dq|e6YL~W&lX=1Hf&{27Ot;x<l$E%5E98b>|&r>08xP<H$q<|xDSf5UX
zX<^ezhfUO4UC4gD@49TFBHpZLVrc$G!HkvDej5w*;OWEgxTXpvlpP;P2<6woN8(Ap
zH<#<fZr{fdcYBqQ(=sx8cZv=!dh_gU7%+giN)hw%6%~AALz(mEqvGeb?$RG*BY5E~
zR(MWC4XfE44RsDtF~@`X9Q}qdI4QqupV^>}GaUZ^tzMyGmAi039my0FnEoie;3wnF
z_b+#{MNzTNo{;swW(IMmPqU^Dk}*c+&P?$(Dt^3CwmU<_97L9WQ=*bIQ1U2)p<$m6
zN|<i$R!z15&*8MknX;NFeEpQAfrSowyPCW{#{poj`uLP!fF>$L{#U}-LBaSNLVHbL
z0C*JURx2cGVg}P%Txg3X%Cy-q@a?h$-OgIq-Y`u(vVS-8iSuNvRx;eN^^+xxTXyKt
zwKY*~g&ylSriz9igy=`i=`gk5g3~KY16|K*WvrMh<93l>2Mn*!A#Ks2?A9<DFBU&u
zQjbzVueMw+#WFf91$ObhSW-vQj?d%dJXyT`+%s#jo(`du<~L`5sA29kC*y!Ck~pr=
zbGWgB4g%SIcU<yRaiGNNc4n;z>fQdi{rWvRNSoO?K6FvRPO<8rzGnrnk!Mx=>j66K
zqUb#col(L-siLy$CR`ZL@OWReC>_2$EV?xnt%%KTR?iw9lW@X}F<?uLCFFN}$ut*L
zK=&>6^fjebVw;rn>H9}4!Qf)YkCr?+)ZEI|O()F}A%WYrhOGcNS%pQg-;qI9M-1RP
zJ4)0EJf}p&0|*7UhDVP`A?N;ku6ELWM9jmxUb*T3VS~9DRqhga=At^IMDjZ#s>dOb
zJ%k3_2Zd-p>|*FtAwS08l1FIDl@EI7SU}Ng8sH~kbn_lO=6vQUja!mwuV$Ayh;<zH
z+1e(Ep<%*x!Dh9zz{cgnww&gWy};ENGRKdvK>f->Lj%pD@}PtteIr!t8I>!H<Hh+W
zI>n~*^|T&yt@F&`W+3#6I=kT-7q$n{rn_s9Hr)9AkW`&1Y@IQ(F6d;(R$Cqm=Fw7`
zONoAA1(zuVWLBlmo@2$yOTBE`F_E;vud|KydrY9CBrj0XiG-IN+Y^hwmk_L?qA?<c
z#$c%-WygGx3B6PsTt7?J6FW2-g+p14;kH#IC8m!7N#{&MZvJf}PIaER{_cnowA{Cs
zlV4jU^ndK#p`qSMcvXb;cGVlgxD<<6RMtP@RkrV=*P%TG&kMzPPYpvzaw0Y{7A+CJ
zQ7Nx7&i4}?hXY=CtoNO_qSW&|Jb#Iv<CFZB)jx?qXMdek76WLSnAhsAS|GmPlnc-0
z9ww$oD!Ql7>w^KaTJrAFdBXdjmaE%|QGy|H(amO356;d;-KYPVBbvW%zjyV+IALBR
zFBEZF4<r^;n3ayr5qoXldAqIW0rv}=F?K{3@Mrihy3ib<td(c~er}q$6>J*p<f#k)
zjqksZH9t!*>3Hou+c8VXMK#@fGeZS-iCf*=Tyw;#&2P>5+IeExC_C|c2o*wx^;v#w
zU&nnOHHEe;5{IZuPB*xy@YQl;Vq^6jF?^nF?ZV^|@n5I4;@e~$xIxvad+Rb!G-fZ=
zmKd%OAGZw1rBHPs-?6Q;PkMonw_kloOJ5_dd^u>bc2^s|8U<Z+<X$A&Kkgi8-N1;?
z1G8NhTGsFRzNd9@Du0P>oH@B~BA8HQtt7&XivmVxn%u6OSt2CUv=>X5NjTHcsynq)
z3*_BRqRPH66Xp-Po4e9ku-s+o?6$|6uv*dnPcUMI$j#wC-sHiC+(|38cjh(VpY>${
zS?4w417o_U-3|^k9XI_XwOa#(<E?c(iy3f_&8L`i$G9*wFfVt{OEUB=N2~p8V?^G{
zOyeurJXrmiOSW5+3`d8WX99Vdaq~+WMTCzZnbmfgTW71o2DWH>FHaJ>OEOtL@DRZF
z6Jd9}HPxX&fA)aG1PgNC?9=?wBZ!=O$4G~()u7?_HP>JF*f6C{n<2$d7#VzdUvAl_
z29w7Rlg*BEV3y@Am+LyBXgO+Nox-LDr)~I3?jPmCa&M!B5Fv3~HH#XRs#k@Wd(`TP
zI385tO7gRmlSJ=YhclgbRN?XJeZJgrKKypo%m3;gX-o}?si6g^Li*)+aUZ$>dVZmn
zb=1gUPV3N+iMJ~Jrkfq*%NN9<e7aLgp&Z_K_T^E!tO`5qvb$vTgt5|OuUw{(0w(kE
zx(-*Z^Tqt<LVHATUmfQa*Sm_CyOJ`&Caea9>btyu<cMK;#ErE8O=Tq1d+pQX)!?Ye
zNs|}%C6E+5A3fEpg8YK|Ou<&_KsqimHCHT!r&M;E<Yua2QDouhs0tarD~()R9^HU@
zlA_BM!pVq#;)Yu{X~3c#b5Mqg9R78SCh45e#Do^kv$olq&>_lHD05OCAAX(_PH?86
z{nPB6gk2Qq8I}(os8T@T*n{W0<aAJ$X$QZlst&{?l?{YRE8*X@6O-}0RO~KqT-&jO
z3QyI&ntd)S<BiAW!DC}oG>9mlxs;^~_Z(C;78g`dHaOPv$5UNAIPv++Zn8eyGu&Q1
zc3chF-W~4R?yQG2C*F{KUko5oTKHXcn>ywbpZ}V)>S1t!>XrvjjUdEX*)Bju1LGfs
zZb;?ON7nMDalQf**sGjiIel0Yk2+~rZYAmCehC&0kC$dZ%6QNZfm*oJMfw-lGd<Kh
zs>izY$sEoLIQJOsqu`oJE$6t99!fs*b8sG}fu<!9tIMp7_4${tJ1FYnIr;wWNt5e7
z+rBn1=B|z3a{J{o26gai%N@OmPD>zXL=7Gc*2X2-3lc_c6ja{qmUTUq4plQ@lrXwB
zhP?OllRv3}9mg5u4uBQ>5=<q%ctOD*?^w>pzEZ`|ASdPQ7giwpgYkgScP(^Y*(6~#
zuZS^%H>Zy=Sp%!dQD!zm6F1IoX+3KwhZW!2CJ)G4gLcC$!Jb1JnCVTal%Y!?+ueZ7
zb}?(X)^N;zaQ)w!hrVZIr3vE5;yc+7BUVtJ%(Np(d|e;jkC#a&IWU$Z=1BZwE6{Ae
zz?)*Df-&Be#b@+aiGXGn)l8ZdI8APQ%zsh|YcKv%l}-FjyjN<^cYa5QV|6~o!<QA1
zUDVuDWAX)UStI|?wq0~E*;i<BXI=N@t_DH8Z+_Fx2gcOHdrL^%*k~A8w*lvG-{M;-
zoulE@C&e*4OZZ~nm)7MZiGh776WlicXqi9ns*Ah^=w5KNsumN&fW5iKHNgz<v~<@>
z{$_yDrCP0S0bx{NbR8)YV1j!+Pwx)grok3>!#3C~fCa|W7vnjZVJx)dquC=1FxK13
zF?N~<qkJq6a9n4G7caa|^FB9+XeQSEiO7zkJ(=k_CCs2t6|uP3xe+{e4DNjtL&8xF
zaS=)qGn~J$hryO%BcyA7I%ZwYfO(WNEgu}2VTatS8Xi3}FiP^|U`$ye=8~s>zMo@)
z<O8-+G%r(-^x&0dj+`a-3U8+Tyv_vH2^Oo{OH4qH#qPGc(m2u9RvpwU#{}QBO{5B!
zjX_H_cI#iCpTzWbGP_JQBRu%zoZP+57^1gOpS7lS5y29}`rOAEA>d9_@}3MMFxB51
zmmY#dqIV!ENRbiJ1Wo*#7}s&T<-joR=QM(+FK1zn0meGxN}G-u0=u;7$D*Egn(cF&
zUe$gEQ2)zf%k$O%mLz6pDw%s}L5!~s%nmZZsYhGgT}%yN*LOl$A>jutPwVwqBReBJ
zWICsMu0S77otZJ&NE@a-nX57@wPA$UiFbT86!pQir&G==VT>l4aFp^OgAs-|Z60t>
z)q@eSDbKXslQh=o{u`Uu-`o23)hM%!9_;_XIelR3H0`p0j#E?>6P&fv+CKF}7ozr$
zml{)MY2&_P7xV&|!S_mCo*Y>hmV)O3zjMvgN@FraU7Sep<=Pw1>(8m6q97d*@_T_6
zR#g%#@5BNsPjY*yHdN5OF2M5c?O&Q%FxQWjKvs|lv+$Mb(Shc!MnaERrd{UyMoOw-
z1A#;N9xnbmP=Ehi*W0=k+UCenjsaZ`c+l<|v?8bjdy3*+V*A%<d=l@5#NTnkWmUIT
zw^Qr>>(O;jo{teUj~udZO5g@B$vrMQ<rGK|a{ARvV}i;G3V%~9FI3mB?fk(<0dQYS
z8i;0woShjb<@WIdBa#?de6)c5Nr0UEPZE^U|LgpCO#luCX;oT(*95B#hi4wRvBK0d
zF}{Ocg7DD1?9h2vO>m%z1$xY}0o~rY{Uu!({1w|{(!Obc=Xv{6Pm4HUxG`{y)FuM;
z7Sn!zeKer!Wm#BLEEkL>{u*}+6$6Lk0<sgL8o(^@=_%V?9@y`YBtErE0@NIbNv5r2
z5GXJsM(X(>%p)<P+g=Jpj9rGl#goDRe*MK|K><i>PtarY+W@6cFUpzul0mbarT)u)
zLGbMSn5<qe3q`51mVBqku*F<9_<fBK+@F1P$U;sYdW-(;zZy)2y3{U+u@Zrt*cZHS
z{S?6ZY5|{p5gFcZ6tTPXLloldqO=}<SA;Dp3!|aT8Zem{>BgNd4$kV4k;4a-p|FXx
z=ViDCgyg3ml8TgsXf7)@@~jGUh5p+tr=baBBOxzTqohI1o9xqmUkylsS+*2*Enw68
zbcvKD0~bGf+~(O%2E+2O&(Ahc;CtRr>L*`0xcxw~A(~wiJ`}K~Jn+_rCoK=-Lek}-
zL#k?*NP`wo=tg>PqIBTD6lFtNp8|XuZdbS&qzzL(99v!e*LCO=a_5Gs68s#?=drn=
z1B7L%(AijBU>&Ju{q3&|0n%=QX4|R2%`KlN+@c4$#C55fMiod>fBUd`mI{eheGdP0
z44}91_Vl53|L5Q?N#1@@7h*bnc8R?-1SjhwFUDNdA%2$a>eDV=NWQVnPve9!L~S9?
z2VNz^hSygfi7@KH<Sw2+VU+cpZ^*jK_^}2&L8+rL6YKlq>~iY`%SPx;m%RMrjwbBV
z+bZ}cSr=5;=s3}D4jwfP?W(R?u-rAZGRvY1g*zJ<jLK->GG_i}>yQ@6*?->uiM-y=
zuQUD7DF>KIIyTp4OaTL*W82^I>44Sl#@pf%mO#rq8m(bNfrokTzU{rB1zw%T51goU
z(2!D_+_b(2Y_?a2o`;aZJ67fz73t7ZmHMIQmKM~v9(60)tP1>xGIQI=R>1J_SLefb
zns9F08|9W+MaW@o+UR@M3fKn=Stj0Uz~DyKNrP-TNc+4`>*h@>aI7yn5`T{jr|0`3
z`DP^{*U9)-)HN%ZVJ9)JQq`e8Kt(KqT?BS@#XDLYw}Q~?d)1QjR6&Vx%jU?vd{B6}
zt|d|33fzg&*Q#79(AaHX8U2R^yojZ`&Q3aP5nl~uJfH+JW}!k^Wy`cWD~}*8KRUdk
znFc>CPykLx?F|CKW3;LKthEEIba0Mz5KdT=gQyFB*<S;iX;fOJZ_I5=sEd1Sx1~x3
z!W**5ayFj`&E*IBtKycBGM;4Eog@XvmThf%I);ec2OJ`Y9s#7Z?)t6qSR8&FKKx#=
zc9NiYn9%O207SbCC9`*lK&D>t+qX)y#FL#VZX*Y2P#E&Ta2|wUV4fUf;XF_94qkgu
za^3=dzMR;a^qn7Gz5gZb8NWdIKYq0JQj$5CtQ#Aj2M;u5yia;9vPhIV(K6eKjqtP8
zY-NWZ2S{*J$|u+tiL^hXhpNZTpmIZ;>hLcXI2Foyb!C0d$80?r1!Xf}+9a%cv5X1k
zwrVpdf0-w4FY;me5mT5|XDWG8u}0&qisbN{o+G-V;=5I{O~9*cz|}QxiKZ!9J(@l}
zOI$H6y2Uwd45FzHcIw*mG^XwpoxzbALjTWi7bYuXP?;0?D{VSW+gBWHlrc0-q{vl=
zl-xH0DV~3mf*1eL;$qxfG^eMChYdWBYv&AsNrL}Es_PKV_ipbkTY)L!Pvl_cu(KiP
zo;k8gn(e0<J#Bi`x^<Fxz;XNCx0ePGK{vM(KJ$fkHk~nl(0qaj7<*=TLe&6jxx$}0
z2zJosLX%%SRvsrzvZ_TL?&-rV?aOPf9t|`L$KPUF+y4;icHak&a_GZ{VU-H?y#HwD
z+t!TA%EpM}-tJMs;d;<h@xDDV<^e%7$u_xtaEvh6u=#}VvMvm>2=d&&QAKnwM1`i>
zju9m}{0k}<bRl(*-Hj-E6CoEdY8xFeM%c^4pY#8yaDwLe>f~%2fx{>LCkMue*S2Fr
z+astjD^j5%Mfylc=x4vGi2Fl4$=724f8Pwtl&q=l=pr`VRTbw687DfO+lyqAbb#`6
z|C-48uLO(!h4!fY38K*S>-MSjJin*KiFTXxogkIQYRTQ4Br<(9AAa-KhO?KC4CPq$
z6GE-eVlJMTB7CgcSq0N5Abz;m-;nJG;nKNJnB*}{T;J#IbMT`U1oTmQ?tJ)3SZ=Vq
zVtr+Xpt`4BE#%gMX1}QWg2jVG7DaHIdiyMq=F)gz$W{|_XP@PEJsKt!7qr;ftmcU?
zr-#1&yQu*k)5`Bh@<#|2r^KC4`WA?z{o$@Zy2-G1_F$9a=P_b5CjB|J@Gmi7`_c8D
z8X1aS6<yY$Oc0a%zB!&PSSD!4#6!eG)uGD0Yt+4alDNh+!JRm;LS)P2<@kM8177Xp
z1)ue%iDkTLW=dv2QhoSo!c+~4$K@Xl7R(UM8YLBFk&O5u?`oxZnksx#P#ZP0nIoP?
z7g1{%nDJ}kcGe<3RX8Ltdg(dq0<pBU$>Vtj3ElcUYF|dGK+IX)o|K72;(L0Jkex3p
zdSCwKo3N@3x4w;(1+y*_<(%I&?ww;titU?2kHVEfvBSU8ddCXk;c1j1{Dc!DYjoE3
zb1Fl_^fIGU#~RT*Zsc6Z!Gp$jnKs_ZN`O1k;%QqMu_;u<wX~QI8S+{Lvy7BLsV&sy
zMhg>u-udLO&o%*Uk=s!`)1wIO$){s4`I4|9JN?S@UxH{jcdqa14Mkx6TXC=5nia2!
z?Xexs62>>=g@7-%ilCmQlzGvL9eYnm*!tZSMRf+IXPKgk;A1omjlP^1Y<X<3zepTE
zU8N+m&nQ4q$*$gwU${}!L*@+rlSJ{;vGz9x6rh4(pGnR|K74oXZ~wLM4cOSpy~BK1
z0m7{-qQfZyShCcvfHHDeU?3M!#-<1?YKx(THG<f!&~?u6p*&tK8<#cPqzD`Ts@4ny
z31hfp=h6QR6>%n)FaCX|BIrway@=Z*iU*ARgR`fUu(;Wgx<y+FPD*bc7&{`4$5OSo
zylzp!g!V&qJBO8^zptXQBT*80i0-!ZIyG$XWC;rGR)(mhCto7}O5@9eE1nLWWSpH+
z_@vLS3Ky+r;KUVK{8ze3eP&e?mDi(BY`7YHx$VN(BQKBt0{{U3{}h*ZIMx3f#_f>3
z_d4b=&Tx*+=W$R*s8B{p^;MDvvP#Klh)P8wvS%qGnVmOLvPH@W*%TRN6#4o6|6K3u
zzTVgK-1qDL^y%&uD;)wF-Rrx;VuOdP+73Rq;uX;KUB}tDDv4;orO%V!R|AYgTi7@y
z6j5P))T4tRNhon#L;2`mEpRe*?-_cogvO*_KQ|j9BTe^~9KSUpEHJ+?XSGv7PmXHG
z@O;!p8Zy;<4TWR~rT(d`SWrbj^@JEDGbl)%weaiScnY-8%Oq{@;L&cZ#PEnQ6=idM
zdz@9G1Dfldd+<^k2uA$AQ65oIB(vYqgMalPkH*9I=e8zF`H)i@pG8G+vu{sa^)!T<
z7z;<yUM)0iPN2SYprZGcO0Oe^je&8R=jiT90y_ESRc&iJ1r0_vDDB1rba_kPIpj=4
zyr&~vW^QVuQqhaPeg{m!ASHA>Ii84)bxIfT@sp9pkbcb4Ng7=2sS4A|A|eXrGWN`Z
zhzQZ-e|8RL!0&FDa44LJ(tJO-#`$X?+mB~_jd;yr_TPa6HCjY;A)@8>VNO+~@n-76
zs|0f(PEP;Jb|s*<-o5UzkvK%}ctd(LZVtgGd7Yb?v`}G)>*+WJ8N}?T{55aW90pTH
z4CRh#pla7*;!3SBs=qJ5`e(u%3}$Uu58c3{=FJRsNnI{fbL6_gMz%TlX(zWHi%>;1
zTl#D3iJNr&x+<N0X6E31yKjj5xH9^2Wxuuu-vIrw13t6vgBjS?jz3e;Q$$|rX7wWC
z)7asV7k#I|4D7Ua4VLjJpeJ&jfqjC1u?C;88tQWzurEdb5gn67zrGau$h$CuSutZ<
zt{4s83_l_M_fZmMzl*u+{Co#6X2~Aui8KYj^q|+DS4EMsOePNho)gXpGq~Mb0w|4f
z&lqzPLJIo`Ax^_wP#mS+lYIg}Cg)A-Ic9#;puI2RsU{D2Hk>QssmDM|`j*ea$WBz>
zJt!SA$^#FTXP0yvOrVlFtZ8q-hOYQc{9{t#g>DGgQ`c<_&t2{3J`fnu*CIWWm(sj&
zc=g;K)deH4);#v!P<x$DDKI~oyZz2&EUqbA%m^H47baqUEzp&x24{m}d0?Vw&)vOy
z3?YKE(d(w%7@hn6wNUnLJ%r2Okm)T0xQ@EszPkIK9(f?Uf6qs5n9%sd^SDbN(#bWR
z0e$bWCSyen)*IY#KticAUS1#03pEpy5=Stvy#E}JIB-Li%TGdhh#oZcl0LVq%wo)!
zB^@J-xnbAmb%VAqy3p{bSTgOzB6gab(!*@c4evNE3ou~15cgl7Ez^PDSg6OnMXOM5
zP);{ht$eBj&ppjkSC-bWd>7}!fnIJ%ug{cvE~5kMd}6Ca+YKz}5Ti$?8xL^JR;T4B
zQXyl%%b33Z7KZ0*e;~uf3(`hHaZw^vh)|W(GS+7V(T$K#_hxv(Z>B6z>oEmff2v@4
zPnjU$KH=@%i+u1OHS}Dj5(RuNwJ+ZmVS&b#w8<q=e%Ph*FZ}x}ZAkTZV5Nq!g7*2t
z(>L1q;p2CUQ@B0a&@!xh>+&oc@E@{gTYM}41FPkYe$!+~v&g|M9byN|+sjW!A_c)6
zxA2lbh74c5{yX=vp95yZ;x0;D7lI-?wrWcX8C(V2T%^5rg2sE9N#87CkiWAj>o-n<
zFoNx35<53^XS=z)8x(=6rEC6wACrJJc*19h&I2RYjmkI3Vz4U=?|;&b1Q)MVT`sib
zgBuk~v%ho2Az-Ojaxabq`^v*uWPu+9Wv6u_^d+J3u+ym5FCtVaenp>m3&8s%j`Y3X
zrQm+*{gta7MDSRTvaviW2;rNWjQuq-FrgmcbL|xo?uFS@HQg2hk(tFP+(9{Lxj__(
z%p*df@Kd?F?ZS}d*=(ABL>|Pmo;2m<5`o(je<)W`6huYR(_(`ZU@)(zfL2C?eWEh$
z-{Qo8cvI&I!xJ3LIDX-J+eL&sX}5CQ1SKHK{qlN6mm=J2?=*bHK!O+5#=eh>B*Aj`
zY1xl_%3z*<_-qZ01d}cJGER4CSO`waFLqXe3@JAD=p+)f?zx_2t0)U0H=^=Ka#W%I
z=Dd6}8yV_cPACL~$$@thVp&;MgHDCn!{V`I$Pl4>w+6_=?TjCSzQ*ccUwv0*1g{OX
zFPuW+{1ss3ZXLt3OB#?fOnN{a*9O~@<k`o8IG8*m`m#4y6OuYIvtLzEpsBDUfE20-
zY#aIP?B!Ze((_--zI-a2JI3&2@v0K=|MNws(+IHIAZZ};QU}^L1l>PhRfflv2ftWp
z5Md+$A1T|T3!aDiI!uC8;1sKSXz*zwID4qRm)WTgCxfD&ueqy&1EKb{!A&A$`qpU0
z?l*wtghi1vWHq=aXp*gdg$Sm4pS**!4PmqT;;Z)WYEZu%==IBr2*+2+u|?}f5S}$x
zdiWY1JkG3?oarV2o>xp^&dLOIBiO88uj8SN@ts#^l@^?OBe~`ni^0p4SLzz(>cB%?
zQ4+J$glE$4o-Mfn{FCo}EqqiRM6-0skqPSH&Uw^^XB1$q<j#L`cIr?%d0CR0ss_q*
z#`0!IQ>c65%n-q;4li7<%?Dplfws5Bo>nEMke@K4CzObX!*}?%3N@5qYAo05<!@7%
zm|-%vUr~d{j#}39pA~?#lgoUMJPqPw?tE3$Py^D>h>HFja`0Dxo*PJ^LCboM5;9hW
z6sM@^j7L%sJ!#~1i%5gYD<k{JBo)Zslj*7HDF$sHyrOeNY4Bx&WnGwC89Zf$*;1po
z_nPVV0iPeH(6-*&LjIx%k<iPSEXWU04CQ<uwsm%5clq&2IFO=@_Wu>)0*Z>`bcweq
zxHzpekq#(;0`LiGjIhCmt9|4jaZ@159Ju~XNFG{Vti5%KWP;cco!#2?0Jr3wNVqat
zaBp$=S2n(hS<P4&KlB99ifQM2=pYS3vT?3+dTW^NvF5xjR)C4_u&5XwNqAQt@TPQd
z8ME`3<sG)d;NjQCLt`^yz`b@gXn)=U_QUzBjlvBRNd6J^nP)}>c3$jon;Q9nNeSn1
z#Wos4V%L_RA&)S;yy31>ikro5msGg^$7T#0aq_wmu7Z$z-DY;Ba~flR_$oHe+6XL6
z7fVIk`9VRmMZl(T8jE*Y4Jo*92*1`|a9;G{1D;Zm*8w3jnC$27ES_NlkY91TtFw;>
zs{ZDrpWyqBaozsSx<W7j6*nUl9tkceT}(*mvz)_*V)YAxujzxrnoT~NDkt!A7uSz4
zE?~J|l=h_z>%mFOP5*;I>>z=Ae9|U<5o^r%d+lnX2lMMmn|v%gAbN-^$9DfRR@EBa
zo|~ZyRG*Mbrp>Id>AP}-kNO)EW!4Bi&!G!lQS9yf?^pnvd&MxPyNZp@@)Gg_bU;GK
z{OQ0lGjN~CE0%U%$Ew{QWf)FU!O?nC%wR7wBpMwE4~+kdF&uT=Dep!FIe8tT@E0b?
zCaH|5%xz-dODuoc_E13cDvrDGCKKF!)*;+TVgNqc)6SZG6nHXb@#^joCP26P7uP}=
z!6dss+^1U`es?frR=P5Q5N)Qvv5yJ#c-y-?T(m*#aCl^JFca*a*r=1WW&!EY;<d~%
zGBnxVEDw3j1iNBzReL&FLFH$N9?fst$7ac$jUvpzI6`I{Ji7yu%-a$jS;-Ln#^Uyy
z1ZKd_Vd`nB9565O`R!^7322iA?ot#MC{1&Z%x2gL%oWmd`}Ii>c_*~$`yvZ;BK`N|
zKV0CWJ;52@PlSA>ue)z`umbbwvyBEZUbt@FbZGr55gPZ3e9vlQgK_aOVdi2!2(Hz`
zw`}`Xn-=5|=61m6H_k$nGyJghL+tU}8UoytJ*V$O;DB8&i4N>Wg7AAPIm}Lj04$&N
zvB3mRc)h;f<DV}CnXX;8v<tN0n1@2HsR9>pkd8~}lSE)a&S5N-q6Ok=mpC77bHIKv
z+Pdc#QMh31$}r!d2_gCH_qkv3!l=YKx%D)0;H@0}gF-c7kzMu6#xNiJK3DG96)g$n
zODl)gj5J|cW9{zr20vU_wEB>kC=K5Fj+A-<O<1@5CJ{px1l7UotC`KRP=Qa{k-?w|
zxR~?i3K2pu-bD(T;g^S|G-h#s4ow)P(mV!!2!qn+D{o5nDL`kVj8rgD6W$rAC)N9l
z!oHc0>n_<i@C@oya}3c0`-46UMWW&mv&)#y$e{#q+~1C8S`$`Q6Un$f2?*ZfAIEn^
z8R|mgquIl?AolNJeZ2}P7_gKTXJ=FeMP0vZ^OgkY660bzQziqX+0)hg?x?{^boG#p
z0ud-9-gNAQ94M1G8#(0F!HBe3<WoZgHih+%QepC-^(Mik^`!>v?HAaP4<JD*gIl6>
zmI5S(I@sPa)Pe`H>@)w_ks)Sp^1w(34tgR}%g&Y%K)2E1eU6njWZ1|I=rbt+ReLvf
zK8gsP*RBX(KS_b<t6(XiqYNLl?p7R-Ab|_F@{^l+R5)VQCw%RM3IuL8Yv?>60n2wq
z=h_{*F!#oa`R;91NE2^ozBfgJJbdzDzbHKr@S3ys%T|MhtY8CCJ~Bu?y`j7+y3M6M
zGEP-lcsLjSz|3Sjzdan6g(IpAL4YwO<yNFR$adD${cIqC?Q+Yw<uPM0n}5*GV59*j
zuFKCFT9M#i(%qeX%oyl!_0|<NY5?`tR^6}rL<oL4blueo!1-Hcy`+RD_?<rbT*aCI
zk9?H<MHx*&__7tFBV~JEWX|4yvQrcEPZr#zWSPQIdl|v~{F;!{Yj2qniU+>^6{SUZ
z8aRjf7dsYfz{O%`kH4iV@cx+Uvo8;5aO4hu;XeTl&`sWjH)v6WIsKB^=Yuqm{#?dE
z+vbcA?{rhEL3uE&Ns5|aF@y7Zf4fDgc$jZ1-t7J-4I3YFu6A*o!8@g*uRKg@a8-4z
zz5l)#EGaIe$^D^$0a2)+?wJa#|GJ+lm>>u&uA_v&HX0lg0IG$FGEk^vW?s5HklPkv
z{V#?FKi_>3%b+WQm<U_qh$kBi9hE1t8_+;uOA~ik9|r@&JLb*?Z(-?i#u23hrXcv*
zGDN*p9_%WSl9%T%jQE2?y8Oa+u9Xz?lxWLAr|PA@ii49_ME0X019nqjl4&gKxhf6$
zzs}_|U+u!YqMJrOJpxF7<V&-!mH^Abg)4raUeF2CCmL?50#s?oDCkIwL33b(b9H_<
zy_m{en(2$dd}hgqi9%sGAg*bh956&@o9?l`lwblr%h$$#oe+fe=SzIqPe$pht+8`V
zZ;avf7aPUU{rvDqOYf`t@o{>oxzBImA4bq%tl(GO&jTUsLj!k*$LZA1H8pB-Mqt|{
zH_LZsCy<}*8M)^^PG21mtMqm?gwY&+A1`Niu<yWlH)Y1?3aEZhPqG0-yh<C;c*F`#
zUzLx>I)0-+T(S8?`=$?a(YkEXD$LL$>!2;Qe~508jqkdusSg+1A3clTVgUZdW)q`J
zeROKj9QWQZJ!oLPr*lX5A0|?yZ&!1$hu+}T-*~Q97jEB6oap=h2RnAAT-8^qoi4#M
z9hgqm1?lxysEuz8<172#csbxLeR%bRc<uuoU=UYedH(n}rckH6{H(r&zW<lBzSTMv
z_@2tBdqyl{#V;B6>IL1zqFf3b4j!k%BVLux<myF?R@-8B{M>77?YC@0W)}q-{g|_n
z$pSXLIDW+ZX(M*&TFO}_a|#5VH$FvRpT`QH)+=avc3{jbQ?~o6w72j3ee)5HADDBT
z%L9g>9_+H%;q@~VZJ3@fae8-Q7Mrw)tFlw;!#MUO5Di|E;r>r@-eYVAWAtPaO78lK
zai~~bNY*ApmfuEqw8u1dHhkrJhS4`Hng?GTP(gwwo5wp6JEpKFN)1*{31e6pXWvR0
zkRWBE&W`u`6t*lSx*4`MfdwA_Y;V>|1VihWcg|j!!kXvnz4&~lv1ElO54qilz*kr3
zV^cPTomTtt(QIWFE0TQO&C*W*{)mb)GsS7_>9Au;R_Yu^ahr2cWFdfk*v{P9mT7E?
zD|$y1WdU;?PULdm&Yk@ZPTrLTGZ+O(Z#!NrVs@hZ<YaG6=#mH<XRMvYA}@}ng_<v8
zETK5X##{{uG3xj^#`*)peLRpIz48mQ(_9<tm{x}sf!z`o*XFRG{ES#?^9r`JCZwpC
zs1DXUBKn(+eq!;4d8X_QYgn)6_lo0J@KBWUHRW{T0#-G8^uX8YKiHkK9O^&1)If4G
zV99J-$C9Pf>7T}%Sd4VLp_95As1OT33`{LyO+`K~<4s$bqsK;S=`B@I{iM=+)$A8m
zA<Muxx0?|RFOO=gEU3WGoCNmqhTqt}@N2D=txQ1X@RR%MrUId6o)@Igtzwgg4T=7N
zEWqE{ze}K98J-q|$(2~FW03=AAF^7pfpfi+oycxwc=s<QCw|Xg?4`qn%o0m>NVRxl
zX8&FZ<d+8gs5dt;&|Fd!xyT8V-peb-_DXQF{8dEQ<`%Y0Uf&>(asiJ_j!xvTA{6v0
zN-jAw0?Ir8!RI>fc28dBpA1%nTd#_Oi$5`e+WhfvyL9-0A-2-SO-d0qv9$nNFbkk*
zkI18K0wC-CMT@5e2e+OQ-x!#)!Mg0f)6FqLAb1phd0)ptw>x<*$e10X!aTo!zaRo9
z)QB_qy*SV~6&!){;)Etic{}S^F?i7Q_|h>v4mce{nVvUsLAekE!S|B{NLE|IJy9Ga
z@3<=U{x~lX`mNQ!Y;$_{bk2CG1P*>)l2%id<%hCxOvRm54%EU!-W}A%LB4&ac=mGv
zSdCr@3AiE;@q{xEUiji59a@Gz9TNhZNKC<41P8t3mbSch9OSVCTv9R-f#xGwm#A%u
zaMSvT!@7eaG*bDZ-qFP1R8_5qXqGaB&d9Cmuq%N_#D4ZTKM8P*XG^*9P!;+ryFYg=
zDM6$E57wr3DbSN=ldjChLydRBK^`d;5Q-)^j~tYR%==8Mn@t+fb<rgJTdXSlh}kT^
z$0iTD8Zc<Jp#`s5as!{);lalHouF!<0%Yq(-#L&>1T+4rq7U90;QHZ)<b$>C-Y$^d
z=>3ue4ZGMChi9}vq{8BZ|1BlZv~Ildsg?{3Sfo|J3=z_KNTNTKRe)=Cs#Wl%HU!nL
z1~Dd(!Th;!p67d2sEOEF^C5x)3JW$tr-LZ)#r24b_i;Q_vqn(y3REb!dq#-3tplc4
zqbR8h>hMa2@oh~w70$9|KgBxr!0FGk*0E!n+x@SvFZRLqJkelIi(&}lFM>roo@qhv
zlM5RaHdOfFGW=1$z!><20+RM10?hk09y7?KK*bDx=oU9X#)?};`)(rK%y7Gq60Z&S
zns-|o=x^t~B_$fWL4?Y3{#!H^GCU5oEDg1xfqW`1<z*5PN^TD^^m!6tU6}LNpq?2F
zq`P$N3ME2QpbFl7n>$?HJ+^+Xnn6(Hf|Z9B5jHGOT%S9o3Jw0pO3z1_!!c28$AjYp
z;F?)lKKTO&TB9xYQ=iOXtDjseDXaxt^ZUiGY|4Pdsxf2bvN`m)Yj3Gu)&P%7{x|KC
zL_j1Zvo34I96S=ZY@`eE;N|7q)Hciw<<{%o9a-kUbp2y*?o(CxkW{L4&y4{Vdhh=%
zwlD`>b;?B4J!Q~{kWk-iF^2W7?JM}(ZU$Fc^@_v272)B9FJH~SkJ6h5%Y0jQo54b%
zEN8iy0*r1|uBSJy(F;FU-H~`r11-0NN(ogtU{u>d$#rBxgKGiF;R-ZxD@d8D1u0m}
zPs+Fbz=i_PczTfUm_mY@$j|BR9<DcW?Mloh2O1j{X%gQA=+&NG32PF9!^<iaEgD=%
zPkl&O#229dMp;138GdMuGw+|c&5bUe88kW3i@`JVq=AMPTu>C(<#=Kr4|1(JZ~gAG
z2{`*ZHI;JjfV~4I0}JUqXuqJ)NB2o%C}Sjz1urr}Id#6kHH`;_SUpRqWi$rPfdlL2
z1%EKbAD?}Rr+Cn>v*m}C)QsTT*OzBM9bUpd;n`353iF^zDaP;RZie9P9m;-vU;@*c
zH!pN6=SG$vGo51}89>TaXZ=TlUD&~}p<NVLZe(21rPn;94=F?G_vJ*Y>4rYO?pr&#
zk*AZQZNWAtFb8wHIw%j)B@78{xE?M9>K24c+dO=Q;pDRUiz)i9fvA$@3NF-da<BC1
zs4fJridd&>Eznu)-ml~7TxjV-pd;F?3!SGb4<^a|q92GGdTBk&h3+qw-aAmL11utL
z2^Ze1(nSx*X3QILqf;_H-{h5aVC2g1jqjp=>7+U*b>2#DG&@lBcqWAkVqjo?+wdQq
zX}nHf*MkR%?^qGOAwh*>@6}X2A2Xm8?g;V=ZC=C|1~TKR6xdUs?7+N}32naDbhnq_
zLx!HMee22;P=0UGebA2?X}4rK3cln+Tkj?XJ6~yo>c1Gt!d@2S?%g3!b(9~y%P0H^
zwblmK_Z>Y$Mr`P;>@xF|ngA*%xYCp+w*4U>2NzYa167~sK4-U65FPhkFWtCChFaYw
z>#uSgXnsUr@HLwdTI4#+w_B48YK{IDbGe*I#a_;RT}l{f2^j8o86ZJ=OZQe7#)WS0
zHniWc6G1;mcbPl@LO{L0jw3<uT;FHXJU9B?m+<~YswiUJ=V=seO9GK*X5N5uUes%o
zA;`ihj{bi4K3gt8f<gnz$>ugbG@99JH54y_Hc7R=+DC|>KcrRQ+R2ZSG)$N{Fe$Vu
zLbXn=AOgN1@Tk|g0P@Rm=#t}*LB&U&Jlx#&(Qv+OVdtGfh(G9G-=$?)^zQBX51TiM
z@QHzc_1rFDlx|@7jde>7smYU#>LQ6yWX%}f@lXVL*v}V92`QiyvD&D(SR(A#y&?YJ
zrYQ0koGm}3heHw1m6?09i4cD<Yk&VmakQ-GOepeJL~o+*BuKUs;dzylZw#*_`ZV!7
z$g@BRDT-RXX5}P7_VazKC#t28GAH4t=8`fxtTCW&<GTGn*?wYQF3X_!T7{rNQ&lvF
zQ`F5zr2qR@UN>G2abW$d2jkVy&l^6DttMnBk8M2YBPWk^FUJe|j^mN8PSa`AUNSVl
zjgU2$Q9zkb%H(?0HPGR_u6moB+VJg0gvxOR9P)CYx&1q)iPSfFPSrb6z~J-!07JYY
zntZnPLnmAd3Ek$QkC;$_UffSjAuFNhJvjcxPy(v0uwoE2(}63gR`{p7%1G@t?~4Q_
zBDxdq=2hpR3ztXv^`|H*XxLr+Zp(Qh($Hs#kWJX;aQ-5au97M;^{d~iP9~z|U`@##
zgZdEj%H-w_W;K*F*<hCTgot8IL#n3;hH$sWwLQ2=4cU7=nn(^NqR1y)h27Ccp!qBH
z-;;BA)PEJ*A}JFQ3%z={<eM>kGuC(NSi&QRtW<9&TLQYn@o(27Eeyh}J&RZOs3Yby
z#xKPynrQQ&P+g8TfKlkd&eafgG?Vy>J<whQjb;omoT&o{zW3kUQlL62XrEr~IEF{o
z-KQU>8<~REUc0orG<7sx_&WUpri#{k@m|cCra-uQ+(Y^+9{m^WxtX@2gsK}R+?;=!
z!k2e;oXM7W^y^g6$L3@la(*FyF$zb6@zbe)5^ky?@1c<(YZH0&wdOS20}~pAJ6|II
z$xuZv?@#R#9G6B^$vYQQOleTQCR_75Sp}s&a=XYHEsk1M_h>%UqJf<ZMZ!Bo8U5KT
z-j9zEMg&v&3_*4pu!_XtR?U@A{8H-kkYRpwzP$Y`bC)S39qo>zvM3^912$5uBR3L}
zyZGdMtSRuFP}j()RX{HebEb8+>_98JT@`l5rcmzvu2e2a9ucN4k4DKeqXy*E<}eBH
zhU8m5M3qCz6@JI_68_Pf9ruonL<4vh*nRWbkVb3rZi6Q0*64Bs1KO$@08vQypk<yU
z>UEo|CKoKzPXy+bor}XDsav_2?kkSCZ9c4Ri7(I(9W)8)ZZQE1nYPK|BcdqTe&E<7
z;XD0fhiV)Ly9sbm0=aVig;8y@`5S|kDZ22Qu5airV?a)|qKq#Dk!+%`J!U*f@3ly4
z#osi7X+q{+O#uOvCwYIQzkY(g@I1tT-ew3wIz9FsDSU|NvNzMpc9Q<U;L1$4s3CBl
zO^_IS%!8^Jl02wSr|75lw)TphFaVN+bDFay7aHXn*FI4?L-&YXNzkp-2d&jZ-{K58
z(VAYwL$dh~y3|j*KRfvK;V|yln@V4H#5ZZF*h>3J=XNp>i9DkRW1mGd+9%nN^i3aj
z%yyCP%i_qJ+^!1(YcXGIAF?8sv!6zPOE1%NhWx;Qq6<6)t(mcxS&+_7t0)bg-}L67
z1fji8bf7tJcanD^Gg7)Zm3viUl`iFX<X01y4qzE|w09#+sQS}<0+_DTqY`cI#D`HK
zubAVO%K;|z=ZesEwTQp;>--HRIV+Uy{;Qu${>_MpWQU7{p-uYLjfSZuUkW5Y?0s2T
z#fXer)}-^)84&;d+UdYWZ759L|GG4r5$TkkK0pd)ME?T-0RR6Cmv=Z7ZWMsY-m`1R
zz4jg4d+mA8H4`P-8Wcs^O6r$Nh_bSaPzp`5qEPoEd#|FXkP&5MZ$JN@=lpTbdA{#`
z&yh&~$4>Fr0G7(p3ey5+)Rt!6bo<K=)G&51Lve!&#+~;9CVnuZ{KOl<^}AV7n|)65
zk-Jp*W|1)!O5A}Cgw&+?bg-d*pI)ZF5>!ZYV!E~`Wd}+KyT>7Mkpq1`6V*GMM}b=^
za)%ogSWx@fA*CiV7c%$|GVQ&a0v4gqB*t4=kW5-i<V!vt)GCPKP9G&h*ULlY-|w@c
z)yXgSCHVNzTJI*c<SrRByA?UrgV<2dy8|Y9Q~{)Z!(#703K^o8BcA2oVMo7+p*muf
zg6Q=A@Glw+bzsU=Qw=KQKzxtG5^A=DP_%I1FN~5pkp8eXFmG`pY0S#>X=f4SFjpky
zouURWD!VHB&v7Hd>F%?NjiM+zFpC{8sRo^k8<mUfyhzR3sD{rCgS1Xve4X@y1g3X3
zBhJ?Hq3TZtMRYE4loh<3A!bE_6NxdgiTMJ^R^aAB^H&Kp|E>DPp;aQBEV2DO^GguP
zzPR-+r9}#@b8v9DGKi4p>h0psA&i#9-uSwX${_h5i*Nf=iQw}jSX#wQ1f4x?U{@q8
zhw!)8?+io}!Eocy8;6IYD6VnMvCSNd%*tQyXH6%<K1sTYCO-zHcI?Z15QRgr?G0+X
znuri!doQgoT?{Gl^@bIW$|DTcrDa))1T_|^n~K&F$RBSqsBEu@Zgx24)g+LB`eiHg
z0Y(ZHU+Q`f?Mg_w(}FIlqXv5<e;3o4WKcqY?svO`DrnC{@4t`S>d^mDTr-wK7EQ6Q
zJ_?^vMZQ*a`w=cOcy^m-#V5%jBjxN1c@YHkrM%QN^%WWNqP#!b7Gu#rdRxT?j)XL;
zDfd60rob|}#)<L+hh)O3bAR&Hkjv%$g2}d2cqHzykt?Wxn6AbYaPK6euJ=_vW{w)r
z)b{i2iQS6mNZuv}TS-R7=ZKoVH#Fh%sywH_EhVItO#9L7NI_n&Fas`)TF~52yyy8=
z8J)>wRl3_mL7FTNTR&^-fWCD%2LDq9MRStziIP<06HJ(?W$1!)X<XHwB~?WE_fzVE
z0ToI4`2{T<(T4`+m#3H)@kl|~SUO6XiYC6e8L;pg!j;n&a>OnII!F2Ob?z$#op3Db
zxmsZac5PWhZ^MWvr}yWa@O}!STN27Fy=ZWu{D6u$7YXUvUQ4o$AS0zD-UN+n0E>kn
z_uHO?CO1RIUWlusPZj$^$Eb9uO+U))ag2nFyT0GLQAR}CyY&y7bkQM2K}5WhLP8Th
z)&_F?cvR;${>H)C1kBDiYtL5_5#g8M>s5j>I`1xe;#Ii`c$7+PE{YP-%RSdME7cTG
z#OJz=_)Qa7aYxQx>I8Hrme3?k!J_)KjWz{2QyBXg`>a6>k17;X&Tb@2qtHs0SG#bg
z5VL;KTK|g*x)fRv)2SeaA~$wN-QzF?vN%P$;-WIT>=8^rcwr<pIH+-|+XSZiU$y10
zC?cPTf<wgrw*R}-Uq$g~6JS%a%D1_ofNp%r@#t-0LBlJ`J)GJm@S3}Ex6&^hT6*s+
z%9Xmx&|g2nd}_PjeSe$hhn=vf@qJFrQvEc;je&dm&xZ~>^84|-a%9myZ0Xk}@^^+P
zTT1!66@bv+HYwxprIE`PdsCR{Q^u-i<UZp&0F5-y3eSHMNa;LB0jlVrjo(Nv^2Gr3
z?wDq|bwCWI1+ujhr3Yxi7ZtCVS<?VB^~ghQP!yT8)e5_84Abr>oH|-^#u%2V@6#SU
z5=KGTK+*P@F&gjJuyvm#BM=s-2@Qx5MA5$Ot!1v`G*f;x|DB%<0oC%K&vWBLksa=D
zPR5MWZtwjOCc0z*ygMCcOBc8h<tV&#?)^<OpOxkcq!>Vto9@v1I6HbQGjqP{(ipAc
z{Ow6CKYd88>gT#iWktV!`8V?=kI>jgyiN$c*8?}M824ul%t$XM&fUf97j5YMD6x%A
z57Z?*TqW$c7@ydzo?X})pqUK0{#JF-1rwbA0p|y6jEIw5XYXzG(^{^MKka*?1BErg
z&lH@O8QoPI`MalkXy;eX$z<~CKv~4t2d2;k#szzK#em<PwCANtaRz6#p;#KTx-K%u
zU=3bB;Jw;J)9>mCy3nl!>38@K^{>w`*oxvCYA;mL?jCsD%}>*U?{gBkeZEtSr<c^H
z9K#A}#3tvI;ap94V#OqK(&rBYgew2eB%G!#Io*h;m(zrQ`+UL<4gY2g;H5gHIPw|O
ztmnfM?`uHW?Q%oO_ECn@E5n`2N{Erk+QzOVtN~npUSW!|Ba9KYTRJmL^^CPs&l3*E
zQo$o=>QzwfFGlL)Pd2zGZH%$oYHquPsnF1(KAT)I#OS1!mTpFMF}!2lYxmx#z^S^y
zR)v*8#@8!COEN}1jL6)2%`RCAq=bvyk@X*BXk{3$eVO>icqiype1Ds7?mxNJ((!|g
zwq3D-Yma^~uq^DoxAn<T;8BzLL3EH|fBtc~tHvN>Q^uJflA;bnf-h8()CU<w5xH4q
z3cnc1>_%R4pVZ*MkISRtSGM!-v}J~<jxgR6?av9$kwE4|NdVv9LB@dUP_UWh7^B{M
zbh1i?1mC|Hv@P8oV(cmyd{G%P&bZ;agp>3lLd(5x-hy_&7{Prz@-~P6FxsB)m0HUp
zz_XS2t-ADKhLY{l0qYA>jQuUP<9q+$f#fU~Jm)sTU@G-9e{p|?v8AlBxS@@QW76DG
zM;?tbiX{7<?G%}1-16l)wHmGp6J2e^B*EVdy8}!qZ}a9D#oW8!YX4Ayb^fN%+&ANl
zg5(6V^s@_$<OX}fD?Js+2(C+D1pQ$Q^e0GbIWIAuH9Ge=rYZybo|wp=VUvt<ZT}GS
zGb@ZzpX_r6Ov+HV^Gc+0?KER>>82h_$r@wSk}u5XloCX}j=%N_`;T$=?&NK0olS;x
z^YxY4K1E18*ZpAf)-2<%b$poTH71nUTT;4arwB^z7bPdz=NVICUD9J4%;@z%_0Rkk
z1sGNN6Chi>z?knXVC%?XLGER)uKR5jpp3-G@r+(#ur$4A(fE%I70&Ri;Ctku=kVoz
zuKO#DdY{Fqn}Hli?<e2B=f~w?qOW$U@ADdC{O-@h_(Cp}Tg`1?y@rELopzj(?IuHX
zr^4GJEHARO^S@R400*z8VnsYcnGjDl{dz_lKS~t4dHS6(4&Y7Lp9t0+h|i_ao<1mu
zURTt&?w-PeC)>}A`>$9K|E-qrTS3BzS70t8?Ku`KSU*G^yv~MPych{$R-%Y~(Qk-w
z4htu8ADr5{&VhoWe#e&?W6;llj2dK$1;hAA+pPjFRQZ-o!2Gy4>YR~s4O78_V~b6l
z@-ALP|9M5}36ezgwd5{IIV_y%6K{>F<40YNmA(ZIGN`usPw`U{7Vw7u{6Br&uJ5j@
z-o5Spq+8*%%&-F%2<D#Tnv24S|J!|XVk#C9k4?RHNX5cLDo<y$rYQ3KUF!eRR30%M
z==*5Ef`eU2A19i2VNk~Dv93`5Z9in@ZhcC^!O^Y3&^1kQv~TX3Aj_H(3SB2E@Vm-G
z5#jV#{i~8_u~{UmpF<T%{*fEgbyR>wt3L~ZlhVlGp`e@&m4KqAg&kZH6yc*H{k?pg
zEIL9S`J(JkLP9@Vdk@Gc!|<=}>u0D~RQaUmq<n)qTJE0se1Ag)I65|`mkM#HT)r%z
zK!}1|rk<`nHYPy&&FI>BO9jL{7rB+APet)-#|qRYNTAHRp;SAmi0VaMA2K^>pmj~x
ze(_K;d@C{Q!aY((wpPS&VHZvG^GjrT?mjA5hlS>JIjEwTV2TUBh89YErdycjpb7dN
zZ>w&z5zt@t*7DmuTFAQf_xZqhZO}40pI?<tL~1@@Wviu)t_nT16k^f?b|?HeRz(dp
z_!S(VHq=HgTAJniV+~;Wq2+^`>*^@OztQf(pcXn^B5&M7Hip?sZP#RLGCHX@c<+X!
z782<0Q@1z{kft9p`m&IWR&KQHb{W+`Q5^;vahY_$ZKRJ!O_EXKtAxXP)>MSKcxdPY
z!vt1eeX`rVL`EpRy5^-b8U1sn4LcN>!i)cso?~0cXsYGOV>VMF%FwoXbIs2TM0T%!
zSvpHb-RZai-Ed{J_|5Dje#s0{-K0zlKdPgFz2qX#w>TvFS|_`KW)8-&$TQMH4cR=(
zE|%n!Mom>lnHXDhNI1)$>>NTw`)NH<jwT{V;OP5{?gVp~ea32W?lvC9WUA(}l(D1R
z=4r<dd^dxK-*Weoj;Np)!LB~KEVGPF_4)AJvu5zPaZxgPmlAp>Q)t3T?52%QMPo$9
zO@Tm+wzm8tk9vod+DJ`HG)$FD7|GETge`LXD&w(eGzOde(t-v4DldeQ%S>RmSY3_i
z$6e^!?<Q96Uz}jCMAOWbF@ZbtQ&Jk?l4zHUq}1IFUU>d=;qcQCIy_k~e?K3ELCcTA
z775=3ASC0yQ|T1Id>>DcT#qn1AaVD1X1^f3*hM`Q-~kZN6MiwbiyvjZB`n+e3c=CD
zwMNq-8l=oG6op1{B2afbr2Iw*+FK7_tuHnPN@^N&$oBpA<8#QeHWC6kD!-9bjS=Kz
zjD$}+uQ6;w1An*W2|*UGP4MYohCsBesEXv8WlYq3*Z*@z2#z1q=qceh1l1~f;MYUH
z7{3#$!XLW|!S^G^m=SXWSj{XI+YwR8*i%2Fk*+EP8Pb3ACc^choqOH7P_UEM`lISx
z!j>R#dT6wDbm_s2H&c~^;0W!{ph9ihfFP_D+eB2U=)rQn;iSgkG;OwWZ7HT*5af=H
zpI{5q1s!&g<-48pwEVEto2H$D;9D;%!}3Q5aJT027U?Urxj!buonwNqyEdiP#90SA
zEhJB8*=^7yg#NRy5f%bN)s%zYjoOf4uOS+KmkC<0(>C-Rgy0sxJ~zos8*YEcrBSSR
zz?ffq0(-6y824FzJW;I$2}3OZEEiZn;o69NyNod0Axdzs@6m$n+T4nq7&bUhqwm@E
zOc*3*K8KI>XhNJU<=I0S4sfd2mv+)h1pNE5%d}2uLP%wj!oO#na5VnGq#~Ord@ss9
z!^)-!=35Qrt5k02yBR%K|4kG=-88!!oUH*LI~qkYKk<NM0&7-F<4&+Y#IT>S(SUh^
zy~dd%d?3_ZcBl9=2ByT12t8h-!d-4J|9B1o&^joDV_p{nVNLsm#R4jndEPvF?WiEA
z$sBalG?swOQ{U{*o~J@RUyFnE9wE55Dq8m`O%fvcwRR-wP$7Wp$wgP1FtAo{jPZ#}
zgQ?{6W<gFW9C6xt>!XPX=nWn?u_s>!WDb7#^=OC!<;w0x#g3v-vJ#$k`M50PkdwtF
z>nRXOVhCKnx)YiX4Uc6!l!Lv6uZk|br+{Vhj$7()Ft8OKDs?s<3$a`2nMI`(*pr=P
zmbWAZYFwSIH<EGSQ~xG|y_y2u$8oXg_7WhQ>2B1NBM&Fk-poD!Nr9^LhzQ3|l7PQ_
zNw2?B0ahYnX@7aB5SP6(ufswb<Y!_p7K|vuZ44Bu?V*A<Crv8-y9_MkBtLpCpbW2d
z@jM+5sjvr^z+Vw23o))uonD42aNVgPM`ecwn0vhow0bND6)m>7ciyUC6UCT4eM1A3
zIx9s^gks@KS(QV46dq)s7c@Q+(u5ZW5(;*m#R09T%6@r!e>&&HoqWDR6RO#Kdb|(H
z1Gmyh7w1bN{9cQVlDw$}|I&h{-&!d^;8qPqB#{J6&FhXdS8WK@A~h^&DS}*JXGo2k
z8oU(0Y=NwFz)UW}>b|rRm^hhmTwYLv)xXJaQ}*e?^lR=*!7EDez4SF##6fjX?bRjK
zc<I4W=ZIS4dS&R0UEy8{RR;xkKZ42~eF!>kf0#3L+hbcflB2%rAXa%UE~&@>d@-A@
z8_KFs%`E%Flv5qHvS!I+1BOs=gE!sbjVjR7bE$sY^^^yj|D|#ngN5^R`ShK5_^GGl
ziH?#$E;~0sN|6TqYeRRKo$+AVp}YA3O9ZNb9X@UQZmQ9j$-H|W4<)worIwj^VAXjw
zZ5|Dfr{c2D-UAO0k5&|#PpAOf3J>}E9DtzJ&2Qz3c*wu{Ku(%V8ETm7AAGf-gZn?}
z>z683L9Th<XdjOv9H0Bn%(zX5nP<^LH?>q@Yk7dfhFKoe8$v`byrBa}>IEi|+bVE8
zxOrh>Ne+63_f7~^(?Qpo>UE}A83r!Li}J6^K+&&5qS4#&8#|nT#nmf8OqKaQ0bNOG
zFP$e|ETn^`4~D=}rwAb>I)#7BF`)ibRK5A$c7BhD)_-pmz}t?!?|!@pjP`l(jUAzb
za;jCqlN5P~G=6Yy@sl7-Zp}Cnaddd)5pZzu3J#*gI41LRc;S%R4!-3+fT+i@Qpzq^
zIQfO%dMJo<`&~ZW42%H?VR<^=VIT)r^v~v0@UemP4?J_B0l=WztpIJ?UBH%r_s}!l
z0jqrNiLs5_^A}!T!Wl_J9;xNwNns|)9#VHaAVC9BX0N9@7LuUi;}_EPWu3M&v%`J%
zxG~VXm0xn66$iO5H9~{eR%yBD&K;vdBUmPxMDv$oAlo&g%6NX6c8TXdNZK-lNyRq{
z4Y-{!WJL&2#Vyl#el|R2wl##RoF{eT1tO3ZJ*|;2u|$hkOzAhtGyw6PmaFHzgu%*8
zb^Wf^GOeOIkY{jFALjRmU-_md1d&$>Jx8XNX*1DJYW4Q(gD=OvX+4S{tZF^td&IIz
zJI(#{Qe>_kJoNPZRuIn*KD}~DQzzDFaW+KvO@2N2?P;L?n3)fx|0(;o@ovyU#;$a{
zx}*y=#qDdluX!L|n1#pv?<P(9pMT8LA3AVTHZADbJ#J8HKHM69lL=f33}>cobihmf
z?>nC7T(Br!>O^_W3?)qN8xI)T5O@F2rpX*9%p}DGc753aJM`^JbF{Ugpl2(@@+>FB
z8Dq!4<5=NGbiy}Wp%(08mhnu+a6)yHnERPfHkcVKH<qMo!M$TP?DOLspv4hitFg`w
zX&C;s^b$>Y<g^jyH_8D;-Y$ncBRK)Hy#I7HO%v2Ll+*mVIYIT=7)sON24f#F>dO`l
zShPHrQ0%}7i+{($elGHWi|T95iyj&<v^rI;U(E?xR|Xpcd-wnovVp9Zsc>kvB=Lj`
z7qmV<VZ+la0G$uGYfdIn;i}!l@|YkuC~ut8&D#)!yJwWO_;snEuKMr7he>W|4{!LS
zixY;+ZCQ`Q1}HF)(T>Q|JP^e3)k^oE2pD`WTUEP9fx*70w9cJ;&|H6U#QLQuC>_pA
zy=X>(HVcUu|6}|>s$M@MCWHYU^TLZ=Ocda@%c@ZRA^;wNSy%Mq#9&-B@zzi^8SJn;
zMLXXMg54HD)|@B-$vH=k*~F1yd?KN1@u3j3dgT0k@oSs+HWdDz6J$7Npc`{NQ5fiB
ziruf?NrPJ6c;ayjG91b`8oBaR1g>_!JiGh#E{N@yuUI9MVR83^w$cVsI2?cTZ?wA{
z44Xf<C|4%KiZ|uhCI<#2Oi<*bE7)y*b=;pOkYWFwNWbMHVlW`a9w(5AgDnRYD^?mA
z{^^bxs<w%P!ay5IsaGDlibzU#kCEYB;^CAY7fCRf=8(>mR)o5GmOj!0GQ{9xTo>1*
zprE?7CgHRaOiSBdDIX*QdchpQ`A!DvB$GnTYLvnJ@YPx_It9*Co$fJ5$%4=_`xQ=k
zRWOlvFq_`?qb~2|3c+$Y=+L+Gm%D|BC&TO6_}x_4wV$Xr_8trNyAO1vekFiIcW<NF
z92IWS3W7=y4jy3J3~7oau)UoV;#;Nx+J<NPrCa2I&C|#y@}L?NkAE^U&d`Kor=N?7
z_A5Y3+QXyue(GSATmAV-h88@L5tSPqSA@^mRq=A$b8Ibky%t=i4gZP6e^s4T0tI|7
zmt7PY3}bLllBacmh<zB=G_4Gla;GFr>&cLHL`zRsUl05yngtcUt3c=Fa~ltSY|o{M
z%Y~k#56V=d25hk^2=QYp-ZyT?6*!~0R}G+U!~R3aSv=f&Gr?qimke>oXEmcej36fE
z&P6450<2-qjpc}wA$-<}zkp#38t(+w4*L@zThRH^m02}-b9}U5h#kOuSEQm-DFK9Q
zP+Igs64c%)$KHDkU}wCgey*MX)#aaGW?m*hr-I3!V=8ozCV%XT%pt(fOT&W`cB=4j
zATK*9l@3}oKWhs+0$5Ble{0=Tf~V`!QU~Yh5I0bMowX4U&aL}{6Jr&?JmQkHsHO?z
z#h3StiQu8JI_u$YNgS-`jr`~CY67hI_mQa@s?ZZ4{kYph7J7sC|K>Vw0)th46-??X
zz{`3weW*$j;yc7#23<^mH)rHt53e#D6d-hXT*kmz!y|*2bWA|hw<U3Jw<7q4S3L-i
z5e8HmA>Yhm0%zDCT0V+WfKPKMB1MfK*vFq{%T?0B#OnPXWGD}Ny{`=aA#8IZtwuZ3
zj}D%V;cb{dSTMV7l%gxj0^CWvS4^eoAned|%{pBU_U)aU%PHTW>1Wqodj0|6irn81
zZuz@_hyM2O^?!@BBl^x)I1d5Xw*JturAY&R6MLBN$v@ih7qeWxGc@o`jLMCelmN$A
z)2U^XKQu>=wh|p>8h8e2>IE^xAXt-c%O-4uCV1yqUDgp}&{p7c#=qMM#v5*8t)+uB
z?bK^-77vWz&z&e1qpu?HNAWC5=Ko3KrS6>9`D_UBnbkpV^1^V6lRKEl^*e1akUX!2
zF@yl!dAwz^AcR;N?Ne$0PW#(yHBx-g0E$WqhBUUh#6KdYm&7ta%efZ4KA)`*d6J`B
zZNog^bIwV_yJL{1S60suTF?W<-So!K`CO0@e~(*)I81BmkH_*`=|K{g7Qaaq2TbU<
z^hGU<(s=$x#edJ#1)B@=8XcnSz<GE~=@@2$R$caAlJAxdxGion5wchzgEu>KG;or3
zCc(q~;ZYs1KmWpn?KBI3w4J3^%na?5Y{`a0y*8A5u)JsNvjZ+}+(?GYvovBn{p58G
zZBUH;VKbY^3~pVY-AR|`X%ZgFz3Wf3U~+GnO!yQN9G~>9kqBR;;jEqSeZ*+Ne1Bm1
zy9-RvBwhCX)SG1*HKf+FAVw25I?9L{QcU0(yyI#5)GF<qnUX*~w<g?1juviRTeMgH
z;<Cb)8?@_f0~b~zG{C6-*zwCnTeP4)@2T1HEm{t$>jnW0=+14LSl!N7JXaPMp~4I{
zY3Vu{_qRRrz8J$H!2}1|J1zZg?|>&5u@a2Jws)TCs?;540{do9L;Mm8H1U*jzb&Q!
zPkK9FSQ`_>w#$3@2C)IrAYUuOiUMUpFUp4;nPJh9&r?x>131Vx_T~+dA;m;&rfr!S
z)^FU?3mf5t?~U^}=s{$_<hF&xz1smsoEI9V>bL>%Oq-m+k)bndr2l;q3zUuo6fd^&
zg3#@{$4&9-VBTRAq8!Hx8hPV9zMK3YR`W8eXF?6q)<f%dyk-N_dB=zHxq`5_(xEGD
zuNowrv~e#VV+X^v3%Q5qgdkw)A$wmr3C3Gw8`vy3;cX0;0l$L?+}IPl^QtxpW_ph5
z_11GiES4g4zC#qS?88ivABmtK{H*+h9}gU|8Xv1Yg8|kbq!|}SBGmshmD**_2Xegm
zR~-rBK=s5jd#@89lfKN6ZYr>S&pYJV@=8L1Uw7a2w*=5!AbB~y6NKTwfvP%TX?XMD
z_;^t;0TL%^c1dGG(Beo`N`hT*^c3sF<r4%Dl~?<ZjUob0v$J(6)^ZTmGIu4(lK=#1
z{86!FQJCOub!v{pg3ZUYX3OgY$h+}MNktq35rh=StpOaAMwYzL-sWjQbN!t&@5JDY
zkj-NI9tEf|mKM0VlL%j*^uPTcAOV`Cjr(=$6=C90OI&^$5pdpn`GuUNz~_i`v!k;z
zl!@n-ezGIMTAMwGjFSw6$hd_XE~sqtm34$wUk!BFW;47m$--LrZMl+kJWQTBUpDQg
z4*b2j*?PTlAbNR8mDQREM}5yptsNqR=o@qXP8J-zS@71(S|GuK?3AyV8U-|88*Ogs
z%Y(>zHj`|kIuLsO8)tD;IQ?k6d+|R7z}#<O4~QniK98Hf*o`z`8tW~-&QJtln?`w4
zV+t%wc55~TYQo2Mqj+03W#Aaboow!=z?o-<4>}BLLB3!uQPx}qqDbqPTDE;0f%mvJ
z<E;ZuTK7kyuBbvqtk!IM92F+oZoO^c(F5=2|BkiX$HSY5DxaojRLHRBI#5xg4@?O%
z@4Qk8kbVpme+!|4o7I86*eFA=4;9r44Io0S)&853SSq~O>{KP$8$(^-@8obL67W47
z-@I_00$mvx<HBv<Ei}|k-F-xYmg2fa?Nl;kc!l~HeF3<zaf-;=PXdP5mv2lfYH;T2
zu@gFRbU4mCBXF#T1li5|#>L!-P?<I{bChBN{{sL3|Nj(MXE@c5AGP=9+IwBs=DIfb
z*kxy=h=l4_Nt!Y$l2Jx!kV2Cp8KqL>`y~lcL_=sGg_NWy<nRCXJm>kmI-fK0>P|5B
zAJ;?ti~UvpJ7}=-co@=KZI720+|I2WdgzOvJ$=ki6LQ5ninj?nAp57hX_}=j22#ZN
z=~Oj@2+7&8uXI2U!I~Css)KKFER(O<m9e?HIXr5;0}45AC`+(tqao#>M?AMI9NS+w
zoBBII`~2M@@}d?xd_*ac`y}AR<@HHV-vQNPCI1DgQjxxA_U7D>5YDr-XZ-kP4>8$y
zwBOkpn0(iJEk~RSJa^4A{wuJ@W$Sa_m{V$K*%an|NOF;Bc7kaYXk`!E9wU2xFI8|=
zbEc*oonn?Z-uR@{We44~wrQT*$}qohe5`$2AG2~$y>)Mh9Ue4q++ypbh_2mD&uEVy
z5R+%Wc5WU6q+J;|8=T}|clT-CYQ}rwFvno7?{2_XIoel!hcu1^@?P1U|Ak0i{a)e6
zJQFeCp1syW!G4#^T~Y(z2;GDMIVB1c@%blq?)DN#iDhzHVe}8;w^aRL8{HOsMtkID
z_(U=6u4;2FYnrfh9E%uUV}nNTBhLe;1rf279k_9Jn%KNeaP#mHYg{t@cUaJv4;Htq
z=SSa66WfD#D}TLbh1d&L&T8FUaBd6A^jSSkY-x({`~1TatxjB@GTYg4H2YaYbk+~T
z&gZU5fw3iyZMMwVA<YUr&MptiogxgnD;pYOEl?X)a{b4Di_EI1ok@Fnz7xBycX-aX
zn1f2W*ymvQhxu-;Pv+dyuSD*8)!z#;=J>sTMa+}fU(A*5FEqHb$BAd#{Iz!NGK1Z*
z4{Pepr<qPaLjGp0|3VyJ=wuV_GKD*P^`#e$-<Z+v7uD~%j}q&)s`_Ocn?hb$;CyQ5
z7*p5m>bZg75n|W)Tw8TM11#Gkv;_`*V%ARlGYL35M7;mhT42Y?fV<KpBf04#vxQe!
zN^j`{q4r7sH~(G}6o@Z;jpZL?CaQ53I#J&fOZ7z-BVXt^SllGDBl<P-rq-o38*dB{
z4%w?*FNf0M_?niYl>362*7N3MfBIWuO;PV#l>uW=U;o@y`KW_=GP`E-RQ($wyCb;E
zF31=UX6pRYVjeR`*F{kY``3gMw$}|08sT-Q*6~-C4a^_y-@ekNUJ*6F)^3^zHv-$#
zPvJ79+e}MimgDysFA2|9`hMF<Lxjj?b#A+RnaSgsRgZJM#OuXUT63%+yans6H->Ct
zPM`4a5wz<ij66emH}V={OrLe#PvZi@Akn|)wPr6-oaTFuVs3z@LT=6%s^tVTPUz^n
z6}<#K_+Ajg^}$tO5fPMJL)>2Uk^XzNm$;?5FHhyP9v(}4x$mF)fLMP)rl#29B|)8i
zKtI{83nJy#eI*5wkWNlp;^KNm2<ZA1MRMuFxZ8~!8f+p~6$*O)<b6#PoEX2C>7s+U
zl9&GbPCh2;hvc6Bbb3Ra{W9M2JWCr#;<q$Db#5gTB@$g%*7Xrz3Z-^R^wAKy;#Lw1
z*Ha?+&v?+(wthk)QKin3M#F;P-m=`coy13V>zyTmgT(bW>_X}Xwa{o=nBcd$i!gSO
zpiUioPcY0G_P1YC5n6SvRPc8<QR}j`>;%h4V%9{sx`RQ*%0I^qB8qy5h3)UN=o^Lz
z*&!v5)n_$P$8g!RdgDvt%(o}XTgQiq23lm3*^&lwboAcwc)uoEruPffUid`l)o@)5
z+^PZQp%ts%hW8PAyis!MDW3^W)7H$gK6PyT{5@-bNk6f0G%(-(!Whvq5`C27p^ng$
z&*Y54J7Tu#LV(@R31UfB&>^!~4Ml>*D<l8=KnP4+-uo-{8{xN$8p{SXge{z5R~-IG
zoE$rly0>bIco3_Vu!B&A>e<z%-wqEG-rvb+E5~U<zI{d8GkaBJ{9z52b^k<g?A4e3
z#5O|=uCHxZZdXCBXU`KihtEXmK)^PRAHRq_1**;4{8hksJCs+veT?|-Ue;D6K1VFM
zocL8gq713f+*dta6T}Ep?$GJzzr+mtIE(gvWhe@Jx61AQMvOYv_{|G061f(#mtF`f
zBXe=4{qD^v;-JgC-_Z0DaZ<<P*y8{tJo=?wUAJPIShX1BapV*$nXH=Ts-3Thnj*EY
z141*z1~t!w#I@|?N$dUnks}JI(S0xZoZ~m)+{q=T>di??i;mg&SSr9<A?#6$!5q;d
z6dQFZft#%GHO%cjFAs0Fti~f}{t`LCF<0wGc*$6Sk_LS~c?iD^=m@i3Bu0y_>OII7
zAnS}r*N>;l!DPo?tttu&*&VyDdw-HJsgl7V{6kz036R(>b%&L#FuLw)5++JEZlrNs
zx-AR&&9V2364}XMs}%kx2I6FZ%xQtq|73AFY8~6h1WwZ4`F%#c9)<LHvwc&5nJi3?
zC|-YG!A(BR<dMz~l_LMuS22RrWU+Waq@7Kkj}$-n(NnNfhV*#IVc=~ni-~sG3zT*N
zlHFrf#6XNZdB(YL=;2mb%)6EG+YrL!#zbD5I~$cqhu@5{j9yv%`SpbFXQC*%JInoN
zf`<wju|hD_CRPsVe;u;?+{MYH!HBVYf@<X9S96?<2zgYxnvV)OQOJL7Dg0wI>Lf!d
zIcfT`0*<+Dit~t)A}h34{wZRolJ5PQ^4?BL5IeK$&t$s{IlJNBEprPRS$BCv;8le(
zHVL-G*$2y$xyE;?TTkhbw=zUMV_8)3<;xm6p{Yd1z3#bjMNpr-kaFU;*%dWhxVTHQ
zRa}L%$bWuJ-`kKBmUGo8xuOBV3-{=Jm8zs|Y3gx}i$>(d=J_wpLR#3Ic34~~T%DW>
z=sxn~n=!f7{?0L-AKH+%cyAY_t4aRMxTJi@$b__?pjS5g>*MoRmWz>`S|r<?*R3~!
z4D!xg#tUv$Bm6OE{lFZhk+;VV6lDjRl4-QkFF!-*(Ad={AJeQu=JVeTXIC^M8!Yn7
z<K8iF^YqHi-%sk1ONO=Ct8&c9f#6jec+Z+6V!dVRlAQs`MODw?zhp+rD4v?QoL~hh
zMG=B6)R5#aP`iKG+Khbh^^VS-eYObB+mc6LG$fmo8-p2ZO-bKpWq<G202REiuO#g-
zBDwqPxgBRrNbbetd&RQ$aM8}hp9&*VAo;9mA%#x%)7*0$);XZ7II^|;ju9ERm|Oq+
zxgqIuw?o@!t0ShqjyuIC8j&kvTkQ56&?UR~XoOQNoN&%~#`Ku55h>R5a@$27Dw(lT
zQ*olv386hFz5F*BlGabVVh*LNkm2u=eOWl1v48flT9Kpysj$E*IC4Omw5hBM{m1SM
zr^rl6Pa!>W#l!BaUylfqUtAwIy=r$t%nNtF2T!!gu+j0>%NOPdhyU6Z1tXkraC~iK
zQGgcd`0UX`u{$rAvp0V)&h|SZjAcz;N4EyK{+(-~ZNmcddhS@aovkC@{(IE;+eM9R
zpQJym9pi@UIp4;)(+;Re97_J#s!SdUdNBK(Aq+D<ri=I&d)&QtH0LuZPs*m9+j48A
z7{1hctPZzX?r#pS^Of|aNy+>2md!d6=p4?g>^y6S7tM4_`A_0xBI~3+eJcfAm-Cyi
zECBVJg-x{jgvmngyfqHmlDNF}o)p(sz(3_r-RW!|lGplsj7z2@PCuIYeV~bn2le4x
zZ^l^31h(Fj>uyNGr)cK6T(d2*zE1B6c{)oxw;eFNQ78%OH}{&R*ET3>J)DTqF`{js
zM*O!ulBmokW?2@j(WSl7O}xB~h;S%Mlw?ZcL}S4vPXlYr@GsTaNxotV>crlg;F1JI
z_~JjqXe&e#>r7@U#+hfHUhgjMr9gIzzJk|7OBBWy#Eh+-VLm0p8+TMt@OZX&ES_Qs
z2QJ|gDkXoJ1>zI`y*^8UbeTrh{TK^4-+z>0t<8e`>wIIhJPN99imJ_r&GE*=cY>{f
z4XJB*FE!kt;Ls||4F3RgY)q{iFp=TJ$DXB?^fweNy1yDY)nkSpb-&C3CvJ%F*{7UW
zki=0>x#n{LX0YE~RBz$Ii*)m`>EZ-QoN2OnWH@Y!=|#87W;1^1U3qr0_Ln3cr0B0O
z-)9QegoZr~K|!3bpLoxCR0=8uH#^EjOi`Zm_eWN*5ROSiJw0zK4bHjUCokS&VBfVT
zSHxUJFlXeOu>GGj@;ifmSgvEh`PItDeOjWhf8Cd~=7S8Z42IS22{Mqe?^?V*uNaE&
zvi;Q<kcEBp(b(`OCOEX&V>WnlSvMssc+!8!Vc+Y{7Z;D3fHz7bZ_jISu+RS2FRrYB
z*276ILw+X6=G7QQn*?MP%(j_tR>TjhyS?Q!6Xd=9>FnQ3f%beQuW^eKuBQ4=<now6
z_EC-sPrD@E*K_SyEK~;DPNCZ_({#Kg6SnW_m%=~l1A0NY3f2TYdbam79f#fI;v)Y@
zL+L@6yf|GIu6g?ZeOm6B#cdfM($!@VFE^{f<X6MC#cS9&O9#`ED^D<34z$>|yOrZ=
z(0J2zpk3Sq&9;e#6PM*t$6_0n|6Coz#s7xKZB4LNM{fJAUkbP`W!BqzPXo7<nhegw
zF7t2qg{Au`;ry6EU+zUsq(AO)PHQ%SjYdbGz<Onv%-^~HE|m&p&g*<($_!Bdd~I-+
zR>3Jo)V{e*TCmFytUZ^-fLTLmLVd3aBws8NwbnFr#isn+B4CQPOJ#B6Csk3-X4|-*
zT^sKs;=k4wm?CJrD`MVT4PP4Gj!^GvgSoRTOwiU05r)?pPXyG_5xf1w7B3wPP$WC|
zem8^D<rTdzAF1P7+$smMO$V|2c-O~NF6*{Mz--fQ4Tzjzrne~R;_8E^ax4iJDBVpN
zjg!_yLHo_}J?^?#mmD6y-p3OD3H&?1R%+tq{Jc}Nn=T|*1Q@R{u!3a4tG`L6RD`jg
z+7K$Ei(9dOg9e4HfqBJn;ZiE7Yqw}JYjlvbWEtP_)f!hzX8ZFvw2<DUp>$DB2lGv)
z2lh1EKrrI(>@H_59ORVm|LCoa?Jkwp(mA%^@;INfGg1pb2l?ae188vf_-ZKQ$wa$~
zas1LAEwHOo?7Qh&&?;c@V9YWx(Hq@myMFmj!3PtoNllz;Xj}?)1kCe~$jItw!6Hnt
zU~h&7A|C|td_M#{IaSDT>!ZRha4)N;lsa@g5$AdnsOCshT)mA7t#Z$W@qAVE?^v9j
zeF_*44GqQ&Yr;kVVs7#(aNpth?N2|D8I`^w!%-8Zxk3Sj9!hwZE*9M~2&k-V79Gve
zz~;Emxs^%s*gk!@oACmO*q5-uXjx~w72iz@e3Sw8{hfr!2f)-pQ(HS0b(q&jzSG((
z1?I7~x~4p!!6)(6q?Q`4IqGW^I#R$4pJBPVZJDoRr})EN6(&ioE4_Thq1Su4vcwFq
zJ({_reTNFV`-uH@mqnraOnQgiUnZ_l9|)J8RtBGtl5~Kv2-dVXTa3jqvH21sp)NrQ
zr7o@m^GkyG`o{d_y`Q$2`s{kY_?-gOOv{}bL<Ar=n`8falP$g<{#`5KE028Bnat*F
zKE#=av}(Mvfr?>C0|sT0<>oZ>FPay+#y_pi9c=LT&$GVEhh(5PHfbnQ!Go?RwO7|y
zTI1o7C=V`cY1CZvUQb%{;L{PZtxC=sSMILnEEJc5Gi7ASTY?9hYNu-ij#?q?kbXRc
zTN0yw%9HnWd7xEDv!=~iV$&7<<|;`Fx<zVunh)}zTcblhe~Tr)k8JG?u$RC&&A7dW
z9K0BwmiO%$v;aMw;#GN69Lz_l>&ou&V&7obQ44<y2ywK;(!Pq}q1<3+$7w#KZ?z~;
z=rTu<c%`i57BSeqoxVdk%a2G{S+sbXgEj52LDiBdwk14tdDS2QYw<heu5L3(`HiN~
zDn${g>r<}GErjz~dT}9Z%<ys{-MeO=C_Wxu=T@^r7}PDt9Um?Ge8iWh?~eJ4f|a?s
zeI{N6aozI+{ku)^uz+#-m#ZiSa+@cgd5J=L*=0ZRm?G*|>rJoKq9{15+kBiZ2Kr~Y
zP_-)zym=wr#~ULG-s+h(SyXYnrX;@}uxB8d8C+goE()f%-@Lu91Wq~It_k~Mf?3N8
zCVjs}5wgbZnu|RJX7-N^1W%jbzx_{MukaVcr@#IT$E}h`8QbY?=WGHK_h9pmCt~2e
zXDc*zRSNnwp$$<>bO^++HC*W_jtVX*%J8%_DvE#p6eH=dt?K`H?~6Em9yvrm_mjn&
zttzGu(&;GJAk?dvCjpf+9KCu^<q+%S*Ul11M~-6<U-nuG6ieSsdaqW%{-MWnr%dQb
ze}8d7+E5Y)8gx&(|5ikuZr4L&89KI)jCennmBP3DQ#Ydhl`&-0!dAgUM@UbjagB^L
z3ZpA--m*}^+cPmbU)bq5MbA*H(Un1K@HYW}sw%GksjKbbr(;yYL?z!>79mwPs&^=;
z!7=LHt!NcG66)0W7qjH>-g^4SeOYx}C^?_h>O@D~v)wk9{qmS>80U;r(7*?Yq>j(A
z%lYzwH73wf5u2~ahwV|*1l!-Lxt9%esQJEe;V4tWt9wEG12ihW39cVFN-@FM^`!>-
z@;~}6^#(cVX@T2rW>x<|6KJ)GUO&B71v%o}%);e;zOAz_Zs+_mKjB>Ebv0F36nm_s
z%4%ag<a^W23<lihz0(S&R8boun4a=S8<yu4rA`}|;_xQ%<IDy%(Cr=yb~fsuvbfTz
zdejvCw;aY;j;SNr*;}eCQWrf}98_7W%#av7p!CCA1248$%%AzGi@ra(^{<Ya<M4Q7
zS(~sX67#zWC2u|4z0G&6ZKnm+<vdB6Z_)%}zDYVK=z$HxZ8st;(dIpN^6@4rSc<(~
zz1yXSs(9ZG86j4XrFpsd&QkF?L;WF#p&m?wto)h-tx@(W?a)xP7GjUdh9_0);^=dX
ztNPg>sf)4t`}1Xdi}jG^tPYZ|8L&$`*}{d${T?PtgYd<xS_14kVAOKQE>M~HbC*`$
zXiNi-b5_*FJ{p)O_LPMz=Ysy~qQid6_>Flsuk0i(q?DIN(gJ`c!8JB3g=uKGIU~NE
zoeJBP{k<VqfeUwyXCAj{VLoGG#A%BLvf^$Ew0;Ca8nyi<!?dtMQPcX*Lp2P9X8znK
zWQXm$|9yWkKt*_4LgyI)Rj4bC=_qL1;j{b3l2A)3o=nMi-d^qnzXx06IT?1iVeqNT
z;E*QnjwQc+nxp{ZwQ23FhIX*8ol_31)WDBZZ~o;+%R=snZ=<)o9f;KaE6&S#QFC8i
zv+S%Cw3x~-4$d$8f5>X@m|->8_vu+$uv6e>S+K+TInYC1dmp&0hpwoAXRLR{AYLL_
zu`3_=C^B+e<F5*SczxtNep>_$kxM6Af&kaD;jOnhRB)Q_$I!M}LA**VT`?}Tyt6dB
zN_L7X!#4SRj-xa`u2}?))fX`lJ#WAMnvWuGCfA(kXym~v7v`pME+!%a|Mi{Ek;l6|
z7cJPwxp414O8SMZwy4^dQdRj`7N>H3Y%5bZvC5Api+E~-ePU_Np8{mCd#00J^(Y7W
z)wkBa)Ug5Eh2K}Uj7WjUgNN4jg&oE>5>u5jtzrM3J?DD1B=`>)l{e<I<E^jthrCHE
z+=>5E5E(#$d|cD%cRB0`9^|NITV;jm#AvBGTL}a;d{<L!Wk-{CY4+@0OQ?^>@hLlr
zBX2aJrpSZ?lOvY`CX_7Ub*A=1#In!FuIXSc@8UqLe`>sWrUjhV9lFVLLllJSijLY`
zPSjNoPiicfBejrtuF5Nl7ys`6@H)%|x5dl-Uw4?Jq0M}->aYmBsPc4{6Wn;vp6dGW
zvl)K-(LP_56hZK=4r!-{JRtoqbTx*XVT}ZT@=%&E-gG~{AH~B5mi(z4)e%#06qj(T
ziwmQoMX%s!G(V!fyehf3m?AWPkd4+U1hr!#yIp<>pipd^`}t`GO3!;tS=0zYG^Imz
zELRA!+n65wNeq1QZwh<aA_SUcsuV>>1p7|!`gBZ!0eUuj{vCE<RB|shNXm*LXw!Qk
zzndl~{wUGhvqc!P0b9>9WW*q?|8(}cn+a+T{&3$iw~YH}<$2M>5!ENM_vLpw<P#p0
z#RM$hRaX5T<R*cJ+L}bebIX3HyVEnfMFiy>TWrD-DX0^?-lpJ2hcox;Z_z77!Dc<H
zva?MRHaqJ5g_r%gR%PDP_=70?pND)pMU}?o($mIiO~!!fti{4HF?8ztJ!m;EgNk!o
z^kj}1V`RzCg5Omf^23HIW14apeiD=%8EA|FQGVZ21qoc){e0qPn>-@7h3v60F~;NG
zoB}Er<^Q{9UHTD4#HeWIhe#Xar|g@(uh=EwA~QePuA>a+vsqpDxsBmHl}BHYl){)>
z{kWZq3huP{9P?&3MwQgzg*K)%q*=9ZnyacJCU#KGO28OQ*VqEjgEDydKFfSmPYqA)
zR?L;C8N*&>t<>fhvN&!0wTR-N4(gO<)eBc+RNHOrEw_?KW`y8dkx&houiL+pC)pUA
zVmQ`pxUT>a&WikFhc%HYr;gK|#!w6#tq5>cLT<N(UivjEqBm?dzpq0_-fHUH_I=7Y
zFlyuI@l*?wGR<c$6wxu_<lN!zrGolCqbavB8l+=SWq@h|1AC1>&{qZDmuJHA3)-+L
zTZ(gUF~Q@&JG4MiHAHdJmJTfHz|8Z^XMqF;Mgv!@VEk4C^X>fS$WdL4pSdw>zrqx5
zqtSl9`_%C$>XNEcr5>aWMAvd?o54poCeP)*1{j?q32ff_a8Hto&Q~%A`BFhH^n@lx
z%P3`MNqyuIo1cejS|Fmt$WT0pieD_BA~ycf$2t$O;d)C;R8%iSj!S4k_}8h?dq4HD
z(*J_4=o%|*GdlO!^}ZGowH};}DAPw#;aAb#{nn5<-Osq{KtqLMJx_qFKD=)QKCR8Q
z!KYuPe@ZK9ICXB$Uc^BU-i59{(`Cy&)?x3R<9}#a``cRUpQbMM<?l?)tY9Ko>%>84
zMQvQUUTJXdsWz-PM3`>%06fFDJi0BXjkTtH0}d86WT$6T4b=ek9FD*Gr)XHo#T(Td
zN5%N9>PM#hc8J<|?9O~44O~p=O)~`=Xt6(8U*u_r%GJ9SGSz9=Z#DSP>82WZHypE&
zKWK;C1SvD4G%Z9O^%+RGuYyl*o-YsO+aam<)$Y@6R5&zNHt-ZG;bZdA)ODBa5Ls;Q
zX)vXUq?iAR9sMo`7saN$iCjCdB$bTtvuHx@-Dgqe0cpHcE0r9Lw}Y{B=AWd0>KGaw
zruz9&5Sft?v)0EB{@#pDzo*pTZ@(?Y`k)x@>>L<QSk9f0oRH6#22{}z%qg+BB#c|6
zcxuJ~KndM_GOR@fBRj83Cf(sj`=y<kC8vQX3eU;>Tgq_g+%B>t&4Y!;;lG44@bc7&
zZ0%*;p5x!)d|ibTn(?0E@?%UmvdH8J+ADzVc%oR?BQ^kOK$gFpKQrFU&txK`uXTpi
zM-DqCOyXsxSaA5-l6LL#9*pOp`}{i~gH>J^8taXgm>UM-1jUAJa89y-b*NPetE(nE
z4+k$Y6VG(UUNEsi!rX_Cr%WVaIprw-&3S>De(T=xj5KRB`WTj}H%Z{Cdss<U&pb0U
zb#>m|0V^;&c=V=silb!w@b;pKc_!PtNu|doRw&lfzTD;@27QLjd#|_!rig7+wB89z
z+%JtN<u(&VqM1?q%k7KI)z#1c+JCpe+Nv)WcU(olt1$O)^}T;g=?nCyOdktyaK!7|
z&kNzZfnnSR4Hoz&MoPQiH%DT0WavbJAUeJ%p7RuD1+6WVenj0IzH>ROc`*Xm#T^s;
zj=~1Prz3KUr_7+xQ5_zg&W|U;$pxvV?4S&Kv$k@ZAv5w@#+?p6Fr7ka*LQG$Omg`?
zbI24oba?{W?f9@s*>>wrk`p&=E8d-6V8BIiP~PPeFZky|A|GjSgHWhkTX%qgTJ6O|
z_B*_ozGG1%Q_6!&QN3>tu``f&mK0H}<b~u&ea9YqKD3%-&;H9YL1zzP!}@|35xUBo
zU4HXJ;o;Z3AO#Z`AG&L>NuCdzO<HO<wg|%7NRo%FrsH_i=N|toJ_yg+mj130Mp;X@
z+4|*N*uZ!Zr=`vhvlcN;`j7~A`daet8#l&fdL#452Y%G0_@|Z6iz4tQ%VYQB##pzl
zIyA6J0Oy+y?eo$ShwDe5T60Tdl+VoP4Yvs*#v)?&<Q56oY8tT=O&EdMExYIZtPsRa
z6_5TRDTpWyN&a!g2()Y3t_qqWu-fdgcE&&o-VQy|b>T)Rd$PYXU_=Dn1~%m^wbBUB
z*6+>JF+$QQa~J-5qEPbc{;(@h79y)EwplM2!tBO1jn_qDu(XQW6eleYDj&<0m{*1v
z3E2H)V}Uqsw@H2F{iy(%Vz=`qb%x+IC`yT_lED7}009606qk2A)&CdA?Jaw6uI+L!
z7nz^qB4i}8CCL^csf;wJWTdhsWfsbpBoz0Z5-rM1WJPva83{kXf6wFnc$~-MJl^L#
zU(d*<PI}6$1WX3Fe~YOg0EO@8!udfyu#d4PkMBwX@wrm_`G*7$`CZ$oBQ5}M^|yTc
z1*PF|`SXKko)Tbp!ty!)c|j=jBlkSSWI%d|nr+|{0TTVE!foe;V8iD}k=bb+w4OZH
ztGr2o)I0NLBWFb*|G$NB&Kg<xQ*hdxO`8a5CNo)XB4QAG$ByywrW~+QcZnz@65;mK
z#)+|Bap=TRMXnxD0P@DMpQ=klcu3xQzG){3G#&9xA2JldTGcU%5~>dEuPV68O{73s
zY5fE9m=aL66DMt$HK41_;p%BaY1sCg;Xfg*0=1LfAxtkd;9%M~GBuQetgF3vFFQP3
zd&d}4nn(hZ9P`Z!MmX5M%lhfGzbdpbsfn0|YeGtdtlp@JEVv4h^Vr?g;73Y~IpK^J
zNWTqWyKW)}ezU#%w>SvE{8%@yI!zn&-CJ$e^yH!Ueq@=eBLQj#tY*ev?FV2@G7*(i
zfY{E*8tKslXmn;LrqJm^(VB&B^tJ+UNuAr2*sCjbkxWJH^<eexww?V;MOZKMboD<>
z0F49O6;-ABaN<Lz@wmGZWU2D>25hK-cdoACp>+fBlTg1{HJ}91M3a-;YpNhCMv^<A
zk3oPEQ_Cn`86rEfqB`&4!H}-p(N+t<n{DIhO$TL&Qr~CUyQvI12V;!JC;+4*tp<EH
z%J5j@N`@`B66p3<lWDY#fTOyE-ke_<1RTu|zh0AvDDU{f!fYeRhzNGgeWC>Rq?j$*
zdRegE;OnRuH-b3)0W)zSB@lYH9J1>t1A|&+jS{?Mup*zE@N-dw@1*Wze?ciIjz3o{
zj3)y{)1=uxLIJRQZdvqC#o$!RkDvxsGW-+tldeA{4@Uo5Nv`2S(0&bPIV((tqs+NA
zEOv6RV8O<CJ)RGC>fXi@R*hhM;wm?tv@Db?zuSJb!3E1JyZgPHj6f@C(C6S!8DP1^
zOZU8r9ek_4<IkQq0=r{Bcoj>eA-(OE|EL8MoEQ1)WvpxjzWucsF5XfQO0^x*_>vY_
zn8%#_dI1`kQ(cD@B;nQ$>(O&tyI8GBd52mQz`Y=z-tP-yAoyU>v*7P0*0@2bOA!I+
zrwfRiED`}S_j|bqhyP$jZX?#pkr)iA-_GVZF9gx;A0tnGUBbe6jx(~=8iLfxiWccG
z0qF3aYKi^y3)2(OG%Z{<fN!G?!`Z2PP)}R$$5J_mO<2T4*l8HRvZRXSr!F3-;_=JU
zqMyZtHbhv2&g#R&S8{{0AvaJ@76@|X%wUNcDxwdX^?=3Zj*{nRPLQf8yzoSA7V|y-
zLCKj#4+3+pmr-$Xz;O9@In$guERhdia=}#>7?#6{zVF$<*P}^g^6>&T_~^8%W|a;E
z<`Wc)-?0F@@Avw1a*J5PV$A$iCLP!bNxH<w$_#HgS|@a$EMapa5!PY8`(dBwe^)3s
z7$NqmhlRHH3Z{3}_Qg!QHh5RRiR?0AfXG1HFr(2QOwc2vYD`TVg2qG+hG^2m??P9?
z4Qw5Aon}a}$kT$iKCdjNoasQy1B_GMH?czwP3hdMS|G52`_oZD3tM5kJ1Lo4ST^+=
zJwlu&@aEloPo+!?xYWXy;Dv3>+Vhw|&N>PF#Qu>gx@lnS6(f@jkqVe?tP{;5NDy?c
z9p_L)15~y@7jvVj!RznpLES$Z(DH<yIF>~N1M-D2_xfp|y65z-h$szEQ_T68T15kM
zmbXjynbARd%>`d7It|E7ndAIBO#@Q;`A4Ka(nHR0_k+1x>R>I;dR5q%7IfYRw>Skb
zf|>!&#0sYlRPNHcMoqLJ$Xmp4R*D&9zGTE>FNomWIqbvlL<dC?y!gxOEO0l3NoUTH
z2w7Jiwr6tE!-1pn?$3U)!85sj-nexFyq;L?<(#F5N*$5YmsmJp)8(0zRz3kT+ofJg
zO)$U(7x!1jWt<??ZFb(-oB-#}ChOPiGQ!B~ug@(;xWN4jO>)$-8t_L2>8%(rgSlN)
z)Il{KP*JIt&h=D-vuZ_yF85iWP(Ov;GKUuin@Zc6hE!p;s`O{B0vik(&oMel@PoWg
za@2y4DpXc9E0%m^2U8W&jkB)>peOA2)1qBGM6U5W=hkq*gqr$J=`|s!YNst|DaS)c
zQTmeC5GQQ5a@C_?5xC&pfN%kL;KS!8x36&lx%qN%&{;7!szo#XTOSWLKA#2}6nVhU
zeEaZri3IF(B-7+8;GtznX6{rZFPIvfHBs4?gibeOlU-Fjgv2Z<^A7WY?af}ZW4h9i
z8XeqiVULI4M^QBY9TxzT-veb<H)LRR`^9VS96T_lKGGGW5rUQ@N<O0VIGBF#)^(Up
z6<$TLUFoI>!v$5(5VD6HR0^Mc<D8=kG$-mDwsJ+mU?=y};bD3B@MrOLi@O>W4lecZ
z-w}t0^zN!3{1rj@=gR8}MFQMM%#^eCk}#8YadUb@3Bnn@kNidixW)E`j}RyY8kuPJ
z<aHHT{~Pz@R3s5vd-TRRlBMDIxkD0XI8>oER-p)Ir4G)q2ZdYfWI(gTm-l$Q8k91*
z$y_$pfCG5ks^%09W@3ulr-KO)D8;&}ag+oPMu%4dh2)^y=z*R;9T9A!Ca!g6YXV|%
za=2tJ50%kVG+7sjkk~-BzO<?ZmfU(z%R?04>^IGu9KA$%)N|OQ`Q(16<V{z@5)>gh
z?wQmrDs^b`7c*h}rvp5pqkn$JE5T>y4%<6_iExRd$@@dD9<+b9a2obehAWeK-xizp
z`Zk9hjl~S0aBThU5lI!un_f%IG9!X}{QIcMVMACb3$7opQ~~#yGIyCQ0+fV|jJxge
z3z3Jt+3E4%V4QzB)k6(j@{})Y`~pZ8_v?8tgNNuO?B!?Wy?<bqF~o7p2)a#Q-~99c
z_w#q0>dKTL>@(lX2_Z7r#GbG(C|7~6cXGKCrsbjPrLX)-JQ?~!zh-OlsDPZ$%`@hV
zvJjm(;m7xx3=t+wzG247;K_ZZv{FnO#y>q;`}UU%fyTDNyhcjk!tOEBa!nlW#=MUW
zV=xB8@oOVdJc>Y_44D;TLSSVaBJK5u44k9+Y=W=l0bD1pFpBenqyny&_<;;FHjZ=?
z&T=qJoI8|=allgB*{roBG87k(hI+r_U>{9yN&7KIFnZs4WLb|4C2dv)p{_E}ur-2b
zE}?>1u4hNF5hF<MQtu7ulLFIwnB+gMHOye%uP%L$cSiZ+g{Pe*!8|)BNP2b#`}oan
zS9+fjT;no&rS(w^iiLIW4zcuO>|^>vR|^0dqbi(|7)2nosV9$;nTGvs!9Dw+29PH+
zRTL2*2yZtOSFQCrC|4$9LzXXM5ZZG_AZm>dex0e#qdxMDq7-kSW?f<k{?xvLZq+={
z^P!3>rg4;V?@!8Ui4Ft!^kDUhLmn3d7W&5(7mZV>w_=I*|MX#u$6)rWKL^BJvd^S8
z_(4(g2<`GG=z|OCl#Sy$D|CHUBM*KVr#QK!BxD5Yf#}Oeqb<WsKrV14WIY(8AP=n*
zgXOxwe?UpPT9^S=z3kd0UX4)9FquA)B^?;kTG`w!p#|B|bPKoeLCR;6mY}SG4#Zlu
zJjU(a{q>{)5mIg+MWQ$K$&1we5Wf5J=SPKI%<?TMeEQ@U%3tpN?e{0Op=NT<N%-p)
z=E(dV*DKRb$-RBmGSf&KMrs~Yvuti)Wgm(e$FdqJBfQ5oj~8k|knMk}OBdI$;)@Qo
zQJr@vrG5)t?-{iqHN|D=t<Ng9f9R4|QP_W2e)>D@2Vt7v$Xsu(e{UJ{Z;Cye-`s-T
zdgrD0e1rs*FWU(3rIxVUZnSsy@qEIP)gp-#he;4j7_L3_<u{gQ-#?yuw;KzIFu6qA
zt^q5%PsTOBE?|{xLVsKDe#KHEOVwA6G+<Cel&#Ei9@E$2w(Us!j-|6Y#${8~p*!SC
zAG6dPc0X<<JpslrCaZ$bUQh>)NhTGcL$la4-Oh)C7eBDi+Jz~%TZwR@PXF2OPcxY4
z)In7l>?h{x^d_&tng~r)NnXpDGgwlAJNo^38tc`%5T-S-x5u+N`(6~!U>(0TdCbqw
zVSZfyzODHYKrb|hhHhmBbBZkf(!T!}wiaD3(YvAs%{AIf=@(`(nbHf+8mWsI%k9{3
z25~iDa_a9Qn$BU0wi!e9yvx}0#97V&8&x=rx13KhoyRg<?5=b?UBSMbQhG5Rj|Tx4
zJ2lO?1*~toP9fpcA57iRZTHM874RBh<IG(Cg&j!cvsbZN$Kq(IIvMCx;Em?<g>c(N
zOe%GF-qmIk>+T~NW?3nNU*p|2?gL9$P#CMyX4DpT`_8R!r936jugcFzbz8>V=Kcg*
z_HSbhp|S5i{8oghM})e^xA$_7g%4dEi3%zsUSnwo72#gX<U-!UDrWMx<+ETOHK;Ae
z%Vk$6z;@#O8*?FR*g5@Swl~tWFwuRG#Kofkvb92K*+LuG;!)mS!A?53{d1jG=aM{x
z<39DWEp1|bn<k6@iWuNSbSuB-njGv?Tv)?xZedG2mbB$1OnbSL9KH}P2hk(mvzl5v
zSZMRK?9;C-&{}zB-D_PIY<VRT5*?}F?pTp8GnpNF#p}|&;$`7}K%@ALYHFx>IB<XG
zCkLD;R618HEDKpV?-tnAXd&pD{B)r&7c|mupR{>_0|r5^Ve2kB5EJAYKfBEhzcE6Z
zyB`j&8VI|5yvG1<jkjEgFL>cPcmEAbNgNz~=h5Jh%>;5EJw0WM_<^h3A*N?a28bIm
zZ96S2;K@1fkLm@X=gG=579;}&FSL$H%CG~yuBlP@t}w*4mpcSi$iVyE9Nt4sd%42g
z;r#6=F_0;ET=A<?208<}AIn*C!J(7=U+(ft!b!m-F_Cr|xc$vvE_#3)a1CZM3@K6&
zkXtb(NR5NCCok<el6hfjwQAzLlnhkpn+3MI<6!<zLMF+FAC|-W?|Sy^`J%*&oHwI5
z=zMQ?n%++kkTm|2Yl$2@z3<kOd`A{0{db-l+!2O-k*f25ZYzL_Jolr37&#bEx|_x@
zCkpnfX)Ct5N|2-Yo&QvkJUq#czF8Y00l3FK=)XD@2v6&ba^O;g6b=pU7yG0jWNAv3
zaZDAO?e{5=I+fttRyy<fC~4@&5$GGQ5kNH3nu+753K&}zKM&fFf#pG~TfVtOzzNpq
zDDQF7qh@f7m>>%t;jzc1?yG}A%8E0m1QDJePdKnDA`kWR|I!LlHNd{@X?oWib&yxU
zT~Mo20D2noX15Coq_o_QvE3(uFe10!v{ZtGZ%@Y@S4ogKwn%sGu@>BT#uh&RMHx8u
zvokB$YQh6;*NcKb_rtQzcwo2z9?Z|yUhg@k3Hp6nlaCDb;DpG*G}cS1@PO!kV@*I4
z)bj5A7g=TiA5XkdW4);cJ~wVAPlu8~{Q_@>7X!fiqk)F|@B|S2+t}ypuK{&Bs+GHY
zzE<2;=}ZXP^XK)z?G_q!h;)7W`Q3gp@E$$PXB|s`@$A4yR+a?NIv!PBDP;^+o0FTl
zo&=~a$vbkQOa;EBZpS2kH-;5E{QXP31RyGL+m(7NK-Gnf%cj02P$2j&;<Tn31S+`I
zJ=&E4(eDkbfej`w<NBq?{udr3A4^v!9+rS|TUBP=uO^T;W@*oUOa-Dyvzep30uZFW
zy@_u#fm2n9cT+Qz;1Es54{8ApusYIGE|OvbCGG9TTn`jL8ZTBn(n1X>toqb4>Lws!
z`!{(uO%6^5$yM+8?A=kOtgMP=V>o)VPbB5^ULFn5$ywj{O5wWq;8ljMF$`HQ+kSSC
zhG#k!&)&uSp|txI4AxYV!GuVfx<r<QrhqRxxm8r?)z%Hp_&twS%@zoch!+Ksm9`l*
zMS3KNcc53lZUh$>{cgRh6NHfK^Y0sdm=NoOkgoC#0Q@1(!vi=za3vJ0P2OWcnQ2QG
zdx8PFj1|1My1Ae;JY7hgg$+4X{<KN{f<be9$+S)iJCxgdOX&8qp%lH?oqyei@a*B^
z*N-+C!6umA>Ypk*l9u|rDf`0!+|@m1zRl3UI3e5erv^JpGW;c8v7--tj}APJtonz=
zd-KsAq+v%o2UNAkW%VKD_S$($<SKUJiX|UwH5+mik$Al2qzBZ7d2&xwXEDCK;}xEE
zY>3}Mon1U#7x1_n*PpHpVCZ}4y^K{>q#!98c6LAq6iT^xCu<8ap47_|jfJe}%>2P@
zGkG1jr4}{7+}%Zyb+Ji4;KPdA=){*MV)g@Vaae=u>^SAcX!@OeGAk0|X|Zb_&<3SA
zDi`UPIZFRxBX1(cif;QT*0>sIL-T=I6!>6?BJ8npF8dfOO8vm_(y2@f*tV1V->Che
zT>CNK5njTIj&)Tp`w3`)BfqIz-nk9Rua^8+As#lg<t6{zHboO=eb?m7ZfsHb<4jJ9
zm$M<N$;_B(CQaaeGB?B&zC#Had2*>Uh#lP|6&~cfK?1k@Ay)Q#ROpRju&9g6K2#ca
z{r(3|65J5G<2ANPjo9Y%e~g~yKo+YOh&^8eMuyuW>krc+m4J0dYY$HJ_V-b*IaLjK
zc<O13e>ok>H?3d{6y`#luEw30-l{|H@pqXKObn>;)gT|uZ!T0A*zNl7ggPYG#P0Bg
zGNN!ANxR7*ZY1dbTR($Q9eBSKzq6QRLP?)C>o+HOkjf3s*O}Esh#WlNI}pTz%4=oZ
zb(r{&);*VgcP}D142kKVU}QsmeL@aT%=l5bDrc{wFcD@j58dN0*wJnMwf!fH1(11Z
z+e7AW1jzC>B;%7fkj#U|x~mdGXxv^E&s|6Wlc|cU)J>d-+xX@zU86AakiqKZPw&-}
zBW}jEav_yHT78ZXMV06Bkhl#2cx%GMQbxJa9lv&sLR)dPn0D{noCX1GF58_*<KRWP
z8sP%Va*{~r83VppmH?7JQmVS_`B2JtW`~1XQt0D_NXaWW0!Uo_JRkXlABlRq`R#L*
zM$%4om#2sXP;arGJt--O;_1GurzOZBn}dop4u=SkOnd*IXSop4{!~sbdyPX=1}_hV
zT_Aw*y|J`1D-l#OXxyB*PYz|DJNbHN&l6RWZu{UE#Za?hY;5%jd2}Q}Tee$}2p_nj
z58(&IQH{W2;!}zO8e#hp_3j!GgkPn5)p|;z;1?nuqT)(OJ!I_BV-9t2a%?-(;~|B(
zsW$s<&MPC6B|?W}jXJEEub6xJNTbB8DZiliDrlw9CG1S71{m4P>Fp1fL4j$ZZKlks
z=ubmHz!ggp)EU3UrC!FNoXZMRp(<+V`!o<Dj5UGoPz=}nZCT_H>iwyfmw*h>JH{JM
zT2N&EOcGZhhxAphN=HNyP(koZou3KXkjL?D%CS%$B|NGcta?R2^^Hrk4j=Zz**|Qp
z^jQjMvN<}wcY=V9RC>+G%jg12@((_(vx;buRC8^4n1Ft93nwdF(}N@ych)j}C8RN}
z?2WG^ptJcFB2RwngPC7ytI(Jdy4k=ng&iaylNPJpA$vn;(__ee=%I{eYqD)$hp8d9
zzm~2%<rwf|siyM(DWh1q7758!JbHd)w%ITO;5_6kT>herj0AI*O>rtHXyL=DaT+7w
zW@x7sK+5Q+RYJl64kd)YR1D)WM)0D3h<QFr8NIUV;%IG^M?NkeKk)AP+UYsa>8DXf
zyne*uCRbVH^QA;3LY@p6gX_CzT$NBs8I8fdacOkX$@sI50~xl6Do5$BDxxsi#>Z<R
zl8Dov5cSoc44Ju#2ZfUqkOpUY<aJq5G#eXutp5ZV+C{B=OhV<+iT6hei=GRh*o$;F
zndW40Q0mYs)t5ufBAJ1ck9g4hzw{dVJuWzMMEj<$<IsyTDwf+UoJh!5_3F_<Bj`9_
z;V1G?2C=iew-|fHjOIflNJBS`U~w)%dGUxex~j^h6zEQes5RLv@8}vqq?D=3Hmww5
z$<}z@)woO1wzy<vG7O*vTAD8-Bv6ZFFi-o*4a)DpFQV4508Wv;|D|t;qKJlwM$d=K
zl$tra^anx!m02Ix6?28rIpdvNulRXNVBJBKAAo^o|1Fs?4?$FEeM-k#_$S5Dgp|N?
z-w>Qe8=88}`O)-)XTz$EW0XKw!H|Pr4Z!|DL1Ca9FEYHxRIemGOkurQ?3~AA0Q$Gx
ze~M>uBYAq9i+R}~MKmNazS~Y8uCxx+EpKt6g;oxga~B3F6ZxeYQJH!$7qK~I$IXF$
zYSSF5BYmd?lV2qb4eLUO|760iC^oe5c4;AuwCB0sY_5r`=t8xLt*@Ob3(8J^$a>6Y
zoT42cN;JQq12kQA2X87cp>EgP9d&Gzl!r~$#fN(LLy;z4+}DQz4Sc(!vdlS6nbccw
zk|geji|5`iMvl^<@RAD}*&cHgzUuTt_it&#YtvJqz8SQLVOsoR$kZ<iKD@Z}>6#W;
z6veS_#nB*{_d(c@?GnZKW8bWyrxu`q3rp&EsnMcP+1MN76$<XSMZQAEo^KjQ2_N}M
zg`Rw2uHv`+L$Q(bmUIP8NbS+}Uw5TK4B%k!#dn=D7dvK#>PQgt{PKSizji6K#|2;W
zXKzxJUHoe-i6qD?TrvE9YL^ncBx$%ax<yGcwP9YW(txSYM|%>rb}6j3+%_R5I}}f`
z8Qn+f8gNAN*$XqnT?+d}-l<(LDwLq`yD6+e9fp*|C~H@CDf?LEa#m`ok@J}Sw3UfE
z^yOJFXVXw2=gAj+VZyZNvUK=yayJpy+A9ksJ*iM~@yAS|Ogbd`s_WS?Um{#wWA)(q
zMupC&wM(=rF(AASfxBUw08wz3**KIMZG;ieUmIjZ1^r~@z#IbnR&25Fk)}bWqkPll
z70l@Fkfw8%4gsWQFm1i%y?IJ8?Nr@kMZFBMAHTm;gJ`j!)cqs0=vu}=gH=5{QVe5v
zao|(~)^xvj{j+q)m&;B$=pP5F<thCv6QT;dZ}T6Y<Yz$sF|^Tlw7F2_r$^mueR!DK
znA%J`!H6y~(w_Ie!Ht4f6G-<h@!(u5+aT4$get{<QjKo#pv<kJw<4cZAlj>bQ!kJO
zRTY|2TPE-!RThKo40jcHrID1lUx5v&o(XLJO%y=lly%S3Tgp%o{71Kxb07NH(5=l)
zErbkj`F(Y+P=>Z;epV?SPShS3DKfe$jD}~Go{&P6;iZ#_>zXDPN^(r)bK?+0HP!1l
z^8?D@lf^Y>9nOvF2bu)*?IaML6~UOOr3^`8=GTkf@t_ptJSx8tNp$U2lldwr!{pZ&
z5`G4J2!*7q4J%0_mbxozw1LX7Mi<XF-@%U}9N$!*N|Hf7(!qgd&y-=IETq>yP7rAY
z_5_4c$s$cFQkRIl3WSWCHH04$Mvt^&^DkVNL++-F*@xb!0Jm(9=Mzj6Y4%BmfRq9{
z*O&T_=QbV;ew8=(91=&O1=kOe+7yx3WnJyD3{~KNAKiEclSGPh1hwEZ%E<MRzzg$U
zHE5?29gg;qLSHjZ$R3f!qr=&EtiF~LfZ~p4@XVG*_A?>Qr#e(oMr&8qW(pCCaU(*l
zy)x+66|Hbl4FXbqSroIFp$<1oIShh@Wf4_^MLhE&0h#K?EqA`wfbY#!{$gHo=)2kT
z#oA0F3g2G6cz(}&q9RQP63gTfrm(KVBB73?M{1sH-_(Mc4M)4f6AFk)S2pwVMRj!S
zvdMpL^7|pu?CKOdmlApxSYQ9BMjiRmM8wVS<yfg7EKe`VDkHks?#xe*)lqUSYkbT-
zJ*bW46q*oJL7xVm3U&mkqs%W=e{=#3;9K>v4BK%P<b6!ad~KSDE}L1lSrITGeTXcw
zJC8@sFW%EO<A|ssFhSfj48WG2@6(k&Jc^yYpI|LbK<BKLo%M8#V8(;HQE88h+~#jZ
z48P#f_nkC%gBc^BTTKyr+kr<j6-RCyrrYD{zoDU<(PVhI=4Tb+gGWz1Ts<W=<k32L
z;}XX_84Q{Xcm6e~px;4BlH2casJ8t;X5xNhC^QnwT=}ewgeE%G9%M<O_{Ub!eV)cp
za(@t$sa8Tl&}|^IDT*?qA9OwSH3kNgbtl{jMWlG@k`qo+01e$YycJ+=3_C{k$Ez3R
z(UZhR%hEP3WHOVGY$Ie0Yo}(%w@%2R(!*8^pV?W^uks-UlTI@DOJ>q=wBb-6|Jho`
zZfevfb@;nM1R0+4yi~H0kwNP$%+Z^#|4>H$qxT$VBLhj~u&}@-DO4EH6czY<f>Pi%
zU}u$Y1fgqDY+RiZ$kx1oUZLwLWg;>oW=6pX#uaOQyX!@f_w^gbZyfuvbip=_(=`Au
z{dEIe+Jz9;D%m}m{1Y42E`Pb92k@hodWVrt0Huw(jp6$iuqz!;`=(PcFfZ*ZXA0#-
znqGWRer5?X6kV15@X!!4hnb9W_i-aX`zKC<JImPr00030{|uLRIMr<!$L(=!4ziDR
zY>s2k->tIJ(6E|BTFNLwGRv!y6lqwIl#Gm&eQs?dBc!rbRwXM5@%s1v<GHTqey->H
z`F`edZ;f;{Sip1n2g!{nfNwqgjz6iIC6r4tM#`tn!7lJyR%!zea$kl&S3b`Y`uQ=5
z#T0Yc#+x@Erq6{RRt-;HxG+n6yFID<%GnHtpB=f=wakVVE+JvHy)#5Y`>%_ylT0CY
z-Qr0B85Z2mBQZuSO%sJ2d5I^wO<?kDgv^A@DubFTW?MNwMa0N3=X=YWKqp(@mZh7E
zjJ{3Nzx?nQvAZKMa<{)R1eP{#7D}CGs8lJfYrgoCc+50%Y4)`dysNxbE+#q4_+dQ%
z-EH4@Vz;)r!;riY2$;P!Im9)^P*J{iHQRoi=o%jH`xIpe>8*tuC(0%m4AN`SG1pOI
z^Pzj^?u;0~O<|TTe>p}NN@E|4xUYXBo|@s_(QO9cX8pK;?e`F4Aj~wv>hBj~ebcz?
z<yw8{H0-`{qpO#p{YpowF>#oP(`Qk3*3pNDJ>>S_!Vipzn^Tkf-G+#!`_WA@_w``m
zS<!~C+uIqJ^G_bn-!Vw63Jw)j%j&`A3)lR;H#ab9$WOrfPd`DQc*(?<Mu+ZQFBVS8
z*E24qu()5o-$zupFU?F#(}DXkS=ex*jG=8DNqSb$OB5EIFxir&3$$_f_5O2d46eBS
zPmH;HiK|ue*{o{1u<^?Nk9YJEiKJRudhW9xVu%~+m&#}mBeHbi;E@7i*O@GqsV6-|
z)xXFhne{Z_nX5fG>HmzNIpvhbtn?60+k3O`=js5d|8Vuv0)wc$Z_@2^y_e`;=0DBT
zstr$$Mud1Qy&!(%@p>Kc?IX&r9^l;gPYd1!{itGTd_&BTEY*J}_Y>h+5T&ZC1z*3P
zmwXr6L_EyrqZBg_63W}yKP4U01b*)y4GFTX#K!JTiKBgk#K8E@#)Ekp@bte8yoV09
z69t+qyOaiph|`|}+E4vdhsA_5o=lb<1jCbKs-OD{vEg}+?gK-0NIdX<c3HKHaLtl0
z;okR^ICb2Gec-$r<fQsXFspYHM^Y~@iS~XYerNf*u6C=!O^>pxDYl=8Gya3;7B7wx
zCp{v!OzNn@t{hRX4RLFG`R`)1>9KKwFM9p9<aia>lU0zDH`7PBw5462jQmdIsn8vJ
ze^TK-OPEZX%^=}jV|BCT{ZC>?*9XZbJE>6M?eK|OJVbPEC%0$Nr--@K>2lsWWhmJ5
z4CGC|5R1}m^%|MegraZu;Ac%`xF2BA*zoNu@wM@=LL_~bcz7@=U;M5Te5>xP4Xqj>
zb~&^Shfd8Al0!!f>cy2nPHf8hNA(yH`QZ0s|Gs&m;FHqzo+L#$<sz!Q;nxJAmM;3!
zY-NEM-Z3)bPgVqBg|CK`-9HK1J=?dIu1iGSqu5tBZ!5r+g%Mv@<|(58v4c<O^gqIk
zEdAk_q5{kg_G}zHGfg}?B0$-EgbC&&{0GRT^1#%wDf<w4miVKSPdc~44C}TkZD_HU
z2g7YYnz(xA2nU6;oQD{!kfw8pW2m13$ysOXo!jP#$BS=HUwF(8S;xIE6r7{LLB%}|
zyZ$Z^se9`MIy*Q)ux<D6JOv8q_<RewxMzu2nQ^@ST$cnq9+HeNX>xFIhyPK&fBy(p
zf&8u3t-MftWFX-Js~oiKJIiDrzywbl_pf%B3V@sCjbp-RWr3QpBmEgK3rte?d}8<u
z!CZ37yZ7v}z$Fs@@IyN*tZpo!dg+V6_0g-nH*#e_{`}4Wj@RrUvMr%upRy?ETY%_0
zcNw632^(Rb<OIV%X@R45;xIvE@f8}&fZkU}@0qP6$X}@>AG{|45=CLPJN0Bhd0%MH
zhDl!dWfoy(ZXykLUrRllbCv-=L4S`I?E>Hte=O!5zZ`rB`rS#&mjM>V4z1b<AyBo;
z92O+Y!?5$Cfvd){;K<35++-;NRkg>{TwW>w{b`DmAxRDt(qg~MtBJxFj`-)nx0Rsw
zQ2(FpViaHvYBVml5(mC-MQ5jzsPJdNV0cG21xkx8p3*K$K#EB70cx2lXj-?%J!+GO
zr3O2`T25&&Pz(G#JEso6Gc|1lcopGZOQdCag)AJ4&2Lk3(t^=6BcaX7O0cU%iKN&{
zfsEZ3Y}%T2;NMMcUiLsL*xXZ|4BevuX7OSD?W(#Epk?`BW0fkr>b)d-X;l%#*hp;2
z$LKJ#O*FICR|9URTU;YmD8nFI8xvo)9%R2QG%L!~hPxe7EmILHpjaePxB6Tkq(;II
z<gcAa(qvv0b5sKxI@8@-bq28L|FR@%gC2-}3t0Xus{v7(BEMQ=3}JY5@9E)m18~x+
zFi9QMgo!7f##@+-z{P9?uF#BO_=-hLW~?^+b~D=lb&V4>zU}srlcrGeEKbFPi3W3|
zk&L{LhM+7Z)e!a40$e9tp*w>H?~gsN@R2Zt9et1gtKSTeQr>{FV!EKm9OSJ(s1Fem
z<U@iFtw2<-{6_SCU2q^5@l)w~VB)6Nc>n8qSfHhsFa_vBkQkeXxvVaHO?{FvGP?nE
z9_9LTZP5i*MUx$jU@f?JO6M(0<3=zus}fkAq`_Z5w%27&s*p(&nutDN4PU?PdF`^B
z1}t7GerBSI@Plu?m13ziXxlk|8dKE)rC@=S4?m<pDahl=+n3hxkK}s%tGyPCNLsuU
z+9wRLkMlAzGps?<awMZmO#^H#5|+fSvx4ml0scaJYuN1Yrb($+6(k>66e#`~CMcXw
zcnsP%!nfv_N8P8W@FdizPW8V@M*9Am_^q%Jbgx8=Z)Z^g!^ayODpHxz<Z%11p1T{s
z!D#4EOo}|r*^ZD{J-CsQ`e^dc;(GXC#xckoA`2g!UVUL03Sd*)9B0F>wf*cJ4jEsR
zfDIgO1-9iv_$13nKcmzNN;f{Yxx)~Jl(^^sF=Y`{`M&G4fw&d;OASTIw+ca{orWQc
z02v1)I9!C!101HXY~$a<3p3qcbQO}wI8NLfx<5<6ty7K1OrEhr@VVTp1I=Xgw;8pX
zow9^`ng{t7_OB8po|R3@@5y+1e#@I}s}@i*Qc^J<GDleTPL<9+Bja}>(J@)Z0+cH&
zLPXuZ5#~OVv0<0Uc(<-!_QWQ0a6esA^^L!dFibzlA@5Aa(HkYM(dW%TXW({81j|Rp
zVcnOz8WqWy)W+SC*k}r-`bQGT@)HdHC6uvR6v1)f-|=UpOu^E`l0-c`%Sf3%b|bA{
z1nY{2e^>;Wz?f3NPDSazjLf!`mCQ~N+?zAhPX25R>pb5!tJ|zF7Fn*$at?^#`lbd2
zCmUlZq2?5BJI9RXZd{uhRz*;$U}tMsl@a)|JEYg<vf{;Q{|6h4$tb|q;Gkh>1g`ed
zO?Mx%V<oLR^XNq~o^yy7lC3lZcBQWK5tlhJN!NuuI7>z;wgYFhHW<Pm*Uh%-F5DPa
zr)(k?EQ)S+={%b{4M4qSCg-Iv4`%Oqe#k{k3}bw$k)b{Ypg88H+xC(d<-E$$x?9B1
z^aYp7XC4C>I>EQy_!K`D-FzHYoh6Qyqmy$tOZA~pUzYW;kRYDlIWI4Lbsc7a^}=s=
zeF%(Fh!FZIh`Tjfoj7kwpz$rB*^BGLjt36ef8PmV`vG>luu4hX_MWrgZ<ij#JaoJ4
z{ZttL#Mn-I%}b$RrA>Eqx*p^$CejrjiXdCdcjfpkGU!Fk>pFE(4;;mqn&0G*QMxZ~
zTVkCo?yG&!;A^i3h5Y_^Dhox?NYZKFQ6&n_NNw-c($NFvftPG*FU2tKa$H%-Zwf9i
zsB{EV^dOeh@SJa49HYC3^H0B*#}oWr^IB_tuY>2~5=BM=hYv*Ki%JEwo_N4)rltpX
z;$uy_+$Aw7a&gyzM~XPB7lU`!>%kvhca_agq|o+=V^D6k5;9BMvO6Bv1FiX|BAdiz
zaQs^C;)T1)C@H@;YJZL%7_bFJs9coA<aKTXhqI_CkTWk`KdA?Nt}3DKY!qBLaZXt&
zTLlNtL><}Zpbr&U9i#L{3I+?5_swOf;xUQu{j*j2(ENfw;7hVR4oo)1`zEO&OJC6d
zucZN0y_t}nJ*a?J0z6`3L)FnFHYs^{?cE(3FSMMeD`Hw_pU91^8hFAc|BzjTA^Z$8
z;&x+JLIFGR>=15EtVr_KzGiL&!Im2w-!&_tMxmGv=4c{uB19;N#~5ahQ2radri?+>
zf5itRv{3lB(>bOIW0?0WxNfn9ieA@b<YNzN;pP6P*Fw8YpgYLQVapN~BQi>_{tMPZ
zr99`rqig@Gu6=s9<1H0*3!bDVx@uwGqmAM>UYdc;$s@laDXPe-m;LO|KTRC$_)met
zFbCnq2c~9;su&Vsu2O$k6RSQ=gp@q7fF>8GV)d`8=zFeCIW=YNUV)r`MVXdh-p(}=
zETM*K>{Gv^uc+gd%C<exp#+T9T-RCDQo|H(W9?Vl)i8o3v1wioz+(M;@lJ{w))rgp
zy_-<M<jIbuyg-0my0YD3Q>xf3&s6u)gNg+sG5;cK0K62|v$m$I;?l#bEj;x~xDvO0
zBW)JIbviD6Ref##s`$)J5k;Juj4$Alu!7_L*P?{)sNk7p+hlt$dE8Z6^LRna3Z9J#
zoim=KBFiPocMn44FtgA?DT;0d^lg%&ga#EEpT#PDwn^h^NMmiLiWLN352-%jq>NR@
z|HNK9NnjL<W_~HZ6)1;u{N(jl!ZL9W&vm!OaK}>)1-Eg4^jixa_0fvB|D~LUfjk-W
z*ev~aRRXjyuM~AADB#Su()r6XLippZ;|ZTgfMGxSeV5zv$k$hU><YgiMwtIqbOV3^
zq3Vpk_bKRi@Qw2BF<wk^Tjn_Qn*d@c<;725IlOLtK5YO<sHd36-|RuaRPE_0*&G?<
zQC&=$lHo$rhFm+(x0W!e5_OOCQwrOkB?a;aav<{#_+qVL34y$nNZ2Zgqu)i2zBgq@
z3-<CBdb|ZJJycHdX<Ub&lNI<fJ=rjBz}xi34|5nh-}dE%r#LFE6xyqPWyS1vPqV9A
z%)vC$&&W?w3=;|!>pDwVQS1ChUG`!#sEK1g&N)TKnwUd6E6-VxdR=njA=wOe$GZD$
z`YM8lMg@4q1=vuJKK7M0%oI{W9Oiz^3**~J9@gpvHk6HhvoCVQ1lpYiXf7(kIMl*K
zE;eIFj?o|v|6L~V^}?-RRi}k8tyQD6SC9i8KOR0M{@NJE|HP<J`vvhKyH=SYi4*xw
z@b1ksGlpsx^%vI<3L?kZZ<B>eTsRP(^>J6Z5p?mC56v<OqJGSq3i5t#+*)w9X@i~-
zkb<~(NBIfhm;J%joaH1``&^QpQEmv^Ih?o_`2~<Oglh3Yl@}A5R_-L28$!<wRo}=S
zel%dbI(EF052F-zKOo*3fVH;1+UZVyjEFrxZ+ut)^XmnrhFuL{r6PRJXMrE>f1bH?
z?Y1DYEoW#KOzMLUJ;jNz5kTJ;uAdFB3ZbA^bU@EVeF$DL<6W&0z#Y#sw>jMq#vbCS
z<x_Qii1qm0x~e6Jdarl$bQXx<Bt1&)O1mBi?w?IPdQA{bBZ^8Me;{L1dT@MAxE=)E
zx$^5Cmk?fF@OGXS5ksELamk{!UKY7s@NP+x5H`Dtm*gB0#{j9(xX(Z7P<p8GND*Ba
zKmPO9dDpxS=U8einu_UQad5Ln(>Gz%wtw#Lwn-B2T_JNyhtZ+!SB#Z?p$K~OJuN2>
zNa5@7)74>)bl@|(%{aZrQL?8@{*B8rm^vv{TB=P4xoO4F^iWZ}<fK7Uca%ftqu;;Z
z7N^66nNm7`lo-0jFscuvQ1DYvceOGv9j=y;?y#kcV?%toxM!j~+TR*3bmyZ(%%>f+
ztd@0nOWjic;td6y683XDE=`BG4Y!^9L?uyl&ON;+M-c<v`<{iE(t)i`r877{3KQO#
z*#4?f!mM3YF)c^v&}dWXJNiW$d3rCew)80Dz_TRbClBecAXHXuc2pMmhI2N5TcP6C
zSmX~_qQhN{h5rATDA+S%Bt5F2ie1%0LBv5l$bb58rM#1Z5i4aI>o=%j{k<zrw0=EM
zSa0|H!((}TO7XaMd9ONhHy`*e>!%N{Be5|?i3%vu+TV2kum(yz&(}>{X8<&XO{bon
zQp6L#{_B$3uZg^}kKL2I4WOfRaC5zj5~k<2n~+SjaL2R!%A5j2m}S!OvN2J{xU*ya
z=clyLWvpW;GQ|jl!Z-8Plc|`0Q9&doOdB<dGgJkVjKSG@q|0)IiuHR?l-i|@n$Bvn
z8#7HnC|>T^={yzueR)}hHmi-5B?r>Po|%Gsr?X|Rn<@@ebXO*|X`=v3L+phvGw>Ko
zqYlofB8{{;nd7K79$@Y$FPk$5#_a8<ynbppshDaTU!{eP;)55Z`7J?yb7Y0XJ2m`d
zB8XpKY2uDyyXZkl0`ewFXXQE7ky9Czn-et9mv8$$VG_XGPfvqJCDk!K%KhoGlsaB^
zCTuVS;BoGIofQssbmH|Yp9oUL;efk>C7%G^b;rd`HLmeR%`x3PpNcM9E^t?@<+-ar
z7t8s>YFOry+Q|D_3IB^c8Siz_3i6C+63hBkk>GRsK<ZM!Td7ll!WXUJ@P|gb8+xi3
zYTiC}^BV;f_nvt*nra0n1FuzU9aBNftzn<xlttb2uR`@}^9#(Q{|x@4V&tOJ$k9Ma
z)cCxTC3wjSp4S%of4-`WyWe=tIVp+bckPd7%a2&W<5-pl!55YAyWM1VBZZ7BmqsPp
zOsqgp$!5$WL=pEU@mOpO5JJxK_}8~r0VwgD4|BZ~uztUUvy3r6PCf7=*01sL$<f~j
zer}UTyIx|Y*^GoXpHF9Y`2$pF*|j?n6ihhhTXABX11rkJxil02e!Slu+U6sR?*_ux
zRT#42oiMqQr|AS#Pmqtx`blHg-@x$_F&4DY6&5}>V+jj};kx=)B$4)#lra{{gm+lO
z$9gteg0bKzE&k0q{A0mfHS}<WG1nlDNhua^n9VWtro1?gOx6VLRQty`{30cjdE6Wl
zOT{$$(?pRYG0rV<&oZMN;+C{6%wbZlUPZx_jF(cgm%XUV41pa6`-YOtAaIp)JnFA7
z`km(=J$h=HLDo;NdHB;5`leMXZhv0Ou@eWGb#?wR?3>0perz&@Bw>bacCR45+9&N}
zYrn$y7R{P7n{NWvmv4)$`zL_$GvSUBPgWUH(NyjkK@-SjejubB&X4ImH*GvhnJ_GW
z%SBSCF^IR;TD6$)A*F<M)3H2eT&Og^?>uS*4NjLQ)U<dp{8M-{PYnxp2Ia_4xEevN
zl+~d#PCWP`idL*V#)?CGrl}uV4B>mLm>gFz3CCQEHwJ35<5IuP0}XpaP~r0_cQYj+
zZ(T1bB#r~W-acUY?~MUmcep;NFvE?tzw&uqmN}72g8!+zg8_&W$(?(<xN+}a`CqT%
zxG~DEWxHR8K4f(Y6x$DTqrcbTM+@3K$kds)?6BqqH;DZ3U~v+f@$2QqPx0bU>E|aU
zXY`;Z>;SwuMM9eF{i%>vel%(m*h9Lg2i3cuZ}*%hp=ZYiAC|*{cxaPy=}u)mXgX~c
z_BMkDi|CG?u4jbMy&73f-q7L4`jLS;A6|@0ox3k_M;P1u&v0=2(qTs8V~2}7AO47x
zK2z2vf*PxSn<z4LsCW_Zay*0|#gp8QW=M;o0$aJn_jX;_Cq`l6sS?1kT@<==gcz2q
zWnLJ)q6>~HQAMv31u?lhd~w^NI1X(xPk*po7gQd;QG4ntgf3i^^vMJX%vRHS(IKM?
z-%V`lj~fVM)+P?!)0R>=VEjN>YnBEH>>GkEs)!)t)g#&zw+v=(E~&iwo(2j>c^oQr
z$XL;GBT{Wf7LQ$%Q}|s&gWzWVllQiY;>X;uhWfJ<boW1A8dydH=(}<B%Xu-3uS%Yu
zjF(5Dy%nGBpV8pmXvCkz_u^ROM5!<=P{8ZvO<au)H1Is2BD&s00{ip>quzW}#LtGe
zR(*cZ;GS66LdP>nJYib*-d;!<w+ndvd_mELybphF1#gwc<zdMkFLqKfWnEA3sUy0e
z^NZ)+rDYjpo)Bn0ldgjO+tyO*l`g1yj*WjpIn1{*xYsbDiea5Vy<|)WnVC0UubL@%
zLcCd8+DIM8U-_J&yrhE(Bd+3ay*zsH*b7#NY2dNq&^KmB*Lbwu|A2X&0@^W)R5m}+
zM5RkQXIfSDK_--%YRFK;EpmKmJG-@zt{qOZV>JNp(3H1}YyCU1e7~D*k2aQb&3f)#
zFaWX-rE=-HGAeZBgfu<X!7wi=)6X16U@ybn$WuqfPlAKgS2{FI*hx(|qiGDWmbMw*
zMJkxjbLT<oAsR-lnD2RX$OK*#))>4^P{sLe^j@i88kYLj#9k{j1;w5FjwiXPA#*{^
z1AR{#p4yt4F#pdC_P5K$b8)Mq!b{9qQlw#R-nkmzZ599?=~b6*sw4THhlz544$8l}
zn*89lCA3Tvd#6^_@k`Kv`;4_Vay-wVH*^s2JTsX1XrY0py8;J--fCiQUE1yop#Z-v
zuZu2i(LkeXr{{)PG*DPOboJgMfMwIh&%W9kxa*vk1Ru+q4?dCbdgpBgR$rJLKliI+
zg+`4|UKbTZ=TxFk)L4Ob>(K8ocXjLxDE5}Qs)WuiH{%xnT7l2|<L5M<s$uNm0v1b9
zK<^#Lf3V4|hy9a<WVtoZI;np;L10b}og8=#H8j^lLSN5V$uAZ3o@RuL+>}BZ{fz8y
zh4tWTy=q1pprTO4`71`z;;8?q!6u!3J+N=pVboP9V{fP2mcch77%g-y_x%Se_)|@d
zJr|>dA6u{8T|Om<pYK^+54~*#trzsPYpoUWhe*);z&ak3-aU6P)X@t3?2WgaV^=_@
z$-aM$iX2#JeO~;^3IN|l?f7+XDcJkiHl>o81&apqVyU?RC+D|(bySi=P78b?>F|&7
zHm5ku(;mQ2+}w7iMH(AzZ8_|h|1kav^SN+$5|Dd|^%glr68~F_P;{G`W!RrB-}Ob9
zfD??3^LpXyFgw|3z;Jbnae5)wKYF_*6t@Ru_*@dh5N=^+P1Z@q)f`e$+%*fBO#iqc
zw}y-^Q(p#_bG|bk+#I^A)M*ayg2G0gi;5se<$_wm-3f-8OZq2ONpo<h?s@j^h7hW?
zkcv#JCKyKq68=)W%)oBjr-v%$g4mpM`-o57cZU3*FotKTDYORcG;tT;M~Rh={PR&i
z89Apq+U40z;Urw?Y5&QCgYma}P7VBG9NU)X=fBqkd;>22P!}Yj)M{RI;=XCd)RMQ4
zONB9L@Hg+s3*bUpoM1-p$_yjvsAb2yb;huAN>%8D5GQ^Na_?MfoMT-5I^Xd2oDnSb
zQC{2`W5-C-^uCJfd4}{@*pkVpA()B;Jqns*!`=Gh2mUlKFp9-wmW7=RA;vk^IYgHY
zKZWyMIJ~^bcpbX#r_CB);_vSs+n>gYi@Xy1*W3SNoO_j>-eh3_i&-~@bm^@4<WP@`
zz#1R-awfXosn7?C@1earrdaS*m#CGA95XU!pNlRw(uX_BEJs2+S+M<tZG2Q93ywsq
zDhgJw@#0;DF7~qEv)1!3lKWXvX0GA{uGa&sBVS12WX1g0RMzOd?0B!~rE^OQ9SR(j
z#hQ1rBFCzj-@|DRy#IRhhAju^aHp?l`XaKT6zN`0(OoXARVe@DGN%hK%l7TrzJ(35
z#CvAX`jD_O<iN6Ef-YD_W!V4y%Z599af0s3i`F9_=W;Z4VWYH1ZvJa_+`WtGqUK?K
z<O;O?u&Ip()4YfG50`OZ%Jzp1AzKA;X;Yz$O$ZIBs`stDo^#^srMyR(;X=r25Ro#b
zLW5>ctt_iqE)>h*yg2_#7|luEB5IX75StSb+h$9`_W?55XQ^b2j};6F*U<qkpW~Y!
z*7Kk-cUq@@wkRro5V|m0rVVADUmem8@}X~9yPv9=I2!BP*c8}mL)_K?!*WdlWNEu3
zy<>JA&NuB#+wwyTytUi5kk>rU<+$}sQnMtE9UHhGe@_csZ*E=6%@)GdlbZ&z-%8`9
z0_T_jUoB`dO0=|V7RJ5GWpY2qWYNJzSI%{Z78o2Ubk`OjqgK$>Ci9yV<hJ`S?B`Z3
zh`-Jfciu-7#k9O!2b$%vRhsgiIHCpL+!J#5d=taMi18{TQAO+*%RF40r3F(@o`>8F
zU58h#PWEK@D&ZTV_qD;Q7CZ^LHu^zR5;Gl-IlTR>jBmr-_jI1u1_51eewSq_)MhGb
zzPU>UmAdVPMT~U7e3}&AHYS5BvU8uOKdGXeQVG*`J{q)+xOr}!mcu=Q43>-D>bOI3
zemmt34K5@wO|EjwV`;LkUH+T~c1Pa~U%ycoT)(~8z@nmn1*b~ik<V%209!z$zZ<P}
zNw3#@@Moo@N$M6wJpLfjymek1uY4Tv*t|f8$bNya#ZV=@a<1b~k_HX4PlqnQWYdTL
z0RRC1{|uLRJk@^`#*J**d#`KUdvWiz=l2*D4U(0V$_j}nDj89Pj1nac6<L{4lJWh>
zYWPXnLRMu&_Ex|CJ^!5ZI_GuX&-1VsuhCzAPCz0}w_?ZNQBcYfbC|M*7M!~$6p_-e
zh_rcLhDGkDqB2E$YeJMZr1Er{w=yWBRy$V#l@cm?$5b5CKC1(b`z~d5N~)lDvcK9>
zC#gu?C-j=@c|G9M|Jrs>frx@>>v!musi@t%D3FWO0El#$bPP8MF;`ZUwSJ@`!|R+6
zb`%+c@&p@SS2qbMG(N5-`A|`fZUk%beq&%{eD;*?92xm^Cpt8>QINONMw7}n44nGv
zyRktsT5j$xa9vSHJZo2ncN7BjJ$8y`=TSxXRD}+>OsJxd&!(#~?M+}Icw-`kMHMaS
zhZL|~C83x3CXaXiGy!EP%VGJqWb`|jsQkBI8AX@gB}p7L1%uJGoen@ocBvb+=B$c{
z*n3n%_=PDP9WSNuMU&8#tJ0@T6y%YCS7-h5PgB^R<UM*kjfnIDNe&P8$e>HZXwdGD
zDSQ*Iie$N{g07(ot`|Jwh~UyWZnkO)^=W@f1hkZqsC~-H$ebWr&b$3$w#yW>|HvEe
z?NUU3EEB$>dwEgA37-V*N2YMCG{h|ZBmqr%U&!@$Vn+<yt_=I^OySl854)$M^5|{x
z?zU!(5#7z#3^=%D0@qx{b6rlzp~-&prS2OWI9-F0y+noy*a((*e;JWMLkuQP?6q^a
z<!BonJJkgGsE^Ke^+};2@|@PmPb2ust#5<h8vw``V<QJSC6G3goL_TUGk#psrDn<w
zVC0-V;&2y5!wuTUYK5z@o6cu^?|#Gp8?Tp29~VM|?p-wB+z#w@!jYNy-^TFFJuZ9b
zmH@J)Z+>@^IDkDW+&ttVYz&|D!veC-@F72OH8zH%Va!0~qkxII5f}$?@;hDRL2o>D
zKdh#YVEX=|ZVkbP@M&dl<2%=#2ucn3w4z6_7t9a#8kQJ<Rv35HOEq>>Fr4Jnl{Sot
zdDJ$c8GV?rw97bmkOlch+{r)AG=v$I7cLvq^noMYUz60Z1Lb`=-Cn%Vhn=l{PfHBd
zgD*MJSE3>rP)eOm!!^S$ES9Uf^L(o=^zqn?4@A?Ug{S-dR>j+~o5ywTR>|r@_zxKy
ziL`C}bxUP}%B3dE;L&AYsZbsGi8E#}rf%S$BGQ}0HY%_q0YCh_zG{Op;bLFu_9{+S
ztS<EDTL3OGQhntFrVSmT+xhD)%eb_}V@nIMN<7gwhP5+S3uGS*JaV60#5=K{+yvid
zTu{hDB27RG9(Z@o>N_pq7S8SI7gE~s|BhXE2#MAN<sR>ZTio+_eJ1&d=|C5*XCW8v
zvY`R$s#S&inC9@g`$f7+!e8;s!-^6z=QQ9#`(Q7{YZh0jcabet7{=r3Hh7-=rorRH
zJM(?y8QjzU`Ip$*QT*vQb&Y0!8l2hb^mfha7tURGyNkj3JHDonx*fboh1c@F>(0&7
z_{i|C`V58%e5I0P{V;?I*!;ASV!|~3S|H!`(3>foj_;chfr$!@`?HQzWlZBq0xfzE
zVrTG)k4>9fDHO2ve8~26W*Uz%Z@Z<eKZlbmGTH<bC@`|qmnAy#7e3eZ($C@TJT4V5
zPOUqu4iuq`pF8bl@R;#!*}M~r_!myCsmGaWu+n?%?>Dzud@RtJq9D4A3t!@D#5+}C
zerD=XT<LH8Z^JOoIk$qJD!<Om#iI(#>ZOB*59e@E^*!A`CfD$lS=#h98!{{z{^bmf
zoX2_h_A+1P*u<BvR|YBEBf$fv-+#Gd7I5p6WCxZb+j!=M<5!k`5MgY_sl=~v5l^yt
zF1^wJ7vFtXotfEy2$V8@o#2%ve3kR}xZ+-Vq|Ivk@_d>Kls0;|p7C74C)|wUw3``_
zV}V4E*NQSM)kpou@^=+4qdNA=d+b0DMN1!wx+p{CTm26AhIO2=gEy>%$c&=3lcqkk
zD#59H?0LeKo46Fm*v?5YR+Jt7A$!tP32N(Bw^W9<@fG@?xtjXys3Rk}Y7i;H$xZFf
zn^JU$bLP(z>qJgu`MLT#>`{c&tHA<Sed&?gbXcpcC^x!);nwMo-30i0IEuOaD+BVe
zw19zm9z@!7|9bo^0R#$DhgJP|AV-lAP`<>6;$!!S@(U8+#E<P87XRiO=v^#%LJ&aj
z!stJ0H7h{z_GjD2Jgn$T;O2oV8-hrY=d0uKXa!(TeDqyZksVETkO_jD!YEem-h&W3
z1?Ydh+CS*WiIU7O$-N<pp{qX6JUg`%KqdS~qs?zFbY-Jk^i9G)J_TqLk;n=_mt9C>
z?&d+=<m6E`1!**FX>qVYUjcL!@4OhX<3nD8Hb*AcWl&a6)z|YL3b5Uls*%3Jk5*KE
zRt$&BAp>{8V-2MWpy#6O7gQ^V>@2?hOp#SUcU{fj{E{WWy$hde?>!erB#qM0pCbgs
z!`mgeT1Nn(iMp}wx1z``n$*)-r-bzQ_C9`<qzJKLjRTQ8BvAd|D{(ttsi2H8?U&8z
zN<hd+>(vR6LOIqGOAi}J$fah)(f_+LI4D~j-g`|3y_Zd53>{HLw|B8<`h^j}V8Ea0
z%(yH%M^=%(&PYL**Q68Ey~#jJ>zFrllt;%^ob8SXP|-%cUe4YZYJj8G(WO2GwC(=a
z{e?IUg*>noK2SmdB{Q9IYcEB_qjb?lk4FR5Zp40gsz-xIHI?;ux0H~ppx$8T4-Ite
z(C_N9H4RXhyp-;ktb)RvmF;FzG|`jc#an?>T975@pKBvbLeKyEWX!>$g*Mq!a^l%^
zfo(G>J1vfkL=RM#ztz%0TQNHc&-d%YR}(^0Yo97Ie_A}k#jk}#Mm^PxattAg)X>|s
zp@zDtY1EN4P1MF1F`cjjgU8KM#%ABt(d_H=n{TT$ki~+GsZ~Be^n!d=gb@X4mUerq
zU!kEImQnxi8WXVYb71^&l7ei76tCFLQ_x?<NS%^0Q>fe;r?+*Ypx_$=UmA7PP(iP!
z`_6DPI5gdNewQ2t`RO%<RVoqDx8|y#d@*yNN`3B`3Q<SQAt71J|L)7><SmeJ)g118
zV`q8btcI%3zlV(5vM5yQ(o^Tx=AdLZ9%M5|Mnbj+BOH6gkYrNuRjC?taKS6(i+7Pw
zy`b^W0C9daeD&RUY^piD{y3Q=?W2PFBxYMq9%Mz+34;pEmgW%Y-m$C1R|ygP$A>Zk
z*YFz=%8f5a%)qhw+ovUG0vdSAa{*!PxQ9?nPQ0fXFdNvYneCECLp^0tmO7IdpN^hm
z-jFGLI8;HD)RaZ+sh0=ub*y7SVqfkv9W;f&ab>vyHz|~IN<-<`7CmH_v{~)PO<<qv
z8@1INVkjnD{~=v16Ksa`9{Hhe0_8TMiHy@ii2ihD$aQyCpmLO|C}smlC!F8gah)I8
z=<n;0S78T-_p>gSB?0_CjTwr2@}LI86InYAIe?gW>W_^c2Cs777_xA2AeHUKb1v^V
zAdrb;?3bA_l<W>V=Gno7y!hX6wk&Xfn`YwW(j!KY>)}I}Axw|9VvWi^^>KhHPil&E
zm?3n^hut}!yN=g&2c7o3!vWH(Wxmk`24E(V%=zD+dHl2Je$uUfeaC*xdkKx|Lq>4f
z$gy2N@B`g1qm&2O!PaOZj7eS}%9W~fQvP({pUVn<#z(RPb}7{TmaiU^ilppoi^#+z
zm222Rn;nW;-u7_R>B1iSe%Gj+F05$VpemN09VQmecMb^Yf{Dbu>DKcxtm;!<S^oqZ
ze5sGycQsfC_;gwb6Zz9vb%v^+<s2Kx-n6n$9nglUceg|wFU(^zMb#yPV(hRse(!OW
zg*JRJP3#(JUBX6PHv0#C*kSai^Zk-HT0s7_lusF7#R|m_>adNn!<Fxr*=95?ICJ$f
z+q(}N*qpWIMoT0II8}HA9V*cT$bRZ0m$;3E?GF25vyT(T?%f<|rfNcwI^C<2;&gCk
zpwOok+X<=P!sgSfG(g!NQ&94zhlST4CEQMMf%x_xxBqr)Kz9}$=cft=$XLGLbGVor
z%w&0Q1@+NDr}wwrZ-yPfI^Z52pT+~Cuvu6VK!aYjT~S{gnV^8HdtA_$7gpZUymGl|
z@Idz6$*Yyj&=i($TjtCMau+5i?vzu3pmU_VhrkLh^V{Z!J^10KOuYEJV^kOrNIMsj
z!v?FvW-5~L0uYC8Io{!-!sJ=itc8DfHI2R#O!z1W8%nS2&o)yakKUC1`7cgrw6$@}
zQW1ufp2oobXbPAqv<xi2=7IwU88TXPM1U>pkxsw?3apLoJaPRH4<sk<^k_2^17qtP
z(O;4jSh_Uvo%0AUoRwtYsil{I&5octm{W&cF*!Gr&-1}%?|F}i5lN7k-NnoLMjdLj
zlMN%Y_~9`<7F01N4F|eHB~IQ~hxpBeCH)BjIDR`b#&U-&SWqU9f4HL#VE8h6(M$-$
z%;#5zmE^!hF<^$LL>=bj>{?$`3d78^h-Lnx@-U+#(01^rI_$5MG&V681+h=m*L|4^
zP*sxl=AtYG_Bj5~<DU`(%4x}pgn0tojr(lT=1PGNQy1Q-=Sx831$Robl@gezh~K$W
zMFI2lSslJeDL8nC#H&-G3>+;Y_8*j}peIs2X{IX!Op*a(5t2l(?30goDxreJfoB?x
z`m%6nZRIRSGzs*jFEjBRqJhB1DUX=la&UrmyI^jN491=tgaBR*C`j_#6X+xlD?*%S
zN2zKc_1WAjepUm{<?7nDoK*nrDw3m?hdNlf2JWk!)P&&ZU*nu{1UQ}(aym+n0u#?;
zv!WQZAx=WVh3%0dw38lWpj-+lKIu##>F7Y;I;p3jKnawy29~u~DUg=%<3-LjUGRVP
zT|G5l86G(4%}mNtVaah`+V+PYRLh0_HcwRnd7+}L068j5nNMX;+Z#YIcZ#;9I}sL3
zHs4)dqQInQkI|ivhTzX|e3F@;1f3McD>i8qAYVv%C1Y$1H?A3Av<wmiMICXm-tljb
z6r)1FEDQ<=j=q{pB<TJ1>RM2Y8tC%)N5)?SV9-(c@3sUP{_E@#d|UX>FUBin$8(v$
ziroH68y+&enz3H_5le(s#JJxk*#w@;EEQ4PNU)XOSgB7|1{QNIai3KaIKLd9|IL8}
z2InuK+5!UbR;cVrGdG1Y-f*kmg+##b>C454%0uKeAK}R$Qz&#5k1g+10iox|$r6b&
z@Y|b(+IGVfcsY|B7dw>Uq(Ur}nIZuSB5#lNT{i`fKZ!45%akDW^1h3Dw}l~T=BLXI
z-+#GvR{z(p^NK+9PaS7;<_AQYY+x`lh3+?x#M=l2_{i^(Z=uQ!@q*vw3;*RxBUW{4
z{zrK@=-lL)eV-McbP(q^icMe}A7!|7Mh+B@u3x^u$OvzTd@oTQP2g4RDE(z#S*T$t
zyx?55h1KurtI}TsI38f~Ss+9jlGg`r5!IJ5ZCyR@v{V45@uR8IlM*1}EUZHgpT$Jt
z^3NSm1IWp7?Ps_k2BLfAG8BWpV^!pueRN3}T={JsGpsBEFAPNU*_sEjBRhG0+Hhmo
zI@^Tw8H6CfzW#P@M<*6kS5wfoXaqqqQ{~D`0`T16Q0%?tHY~5ssRAPzK@(wVPcn@U
z4xgMlcJ}#ujLR?AVbRkNMhlPJc8ceLmlp-@i5k7fl5Iugy>ksf^<JFxQDH7v=c8p$
z#kFG9_s+DA|I!B$uj4n3d^q4gS*2ov+h@$`M!Dh@9ev0&ULfbPv4Qxm^iYLoU07z|
zVIjTideFeeVs~_&88!l4E66SVSY1oa`sUYvJ}T9au3dr&s$*84%~}4-#R|M?&$V>n
zaaQ6*`|FI*ma0!P3K+wd`wtyZNY#ODmb}T`WCj?n{qi~L!w<~w#`_m$tJ+}gbA~3*
zLJ#r<40ql4O<`v`RBC^?XhWNQ1vQ(W4%8BgYrSS>uoP`joB5yxj}un&9^U_hm0K6u
zKJT8x+|$Aq^bE9se-E9&mfJR_7*e!i-?V^{Lk(if|LG19HSOuRw1ws7Z8zL*Si%}E
zUsg9))&xV%c`m!2O>8?qpi;AA1sk#>{O!xufZdt9CIc^QVoUP@ZeLc`Fy-vcMNfhT
zNJd@e{%OC7CF%rQlu<Xa94ivbNIng?SDXGS`fp;w4c9&MuWw@&iwq8?G#cQ14S{ZG
z6HDvrW*6N4i`iUBJsDR=1%<x)(~*0&u$rHC=Uw;F1NUzC(^Xbf=(xl=$IrNp<&Bmf
z*eYazTokw1KS}}T;Wuse3)`5Lv%QO|;tm*k8h>;vgaULw>l@_-|6=2Ju8sVyVuB%u
z+f_7S3aDDy-`&)rgZ_EXfb!EUP~2OSuH~-|&EI-T=Qimeq^yX)&X^6znk<18uhn4o
z^-7P~AUza$I9&Wsn*;dyhi6PU)L^?{n1Saj1H?2+Ew?!CgoGp2Tn?vHLF1hC)~gjp
zFguj{s`VK+@W$?5zV;s(N`6oohN(=z7;a~FkB=APcsL(kH70|_^JtskBxcACdrvhz
z!v}P+`X^MYNf0`A=149VD<m&>UN-v94~63*j`8LsNPRbWaJYgE=(Kl_tc40fz}R4R
z_g5k$`*}Y9aFqjcV+F8jZDA;QeWEr#iU=k~T5Nm5cLD>=>_V)dD7dLMWx4AUL4}z1
z#Uqy+j)sc{P{hUI&d~?lflNfua#=m5M$Zc;zR&jx@0El{&1)9oKU84$DI1TWB_EhK
z?_yEOmIiaBjuUF%{?)zYg0B|wL&n=H56%e60(D7Rb!t%s_VS%?%~ThJUs`f(5&m*;
zTD?e=RhbBMN&jhbeHH@qROWnxVR`6}&GBi7AOdsOsmnsQMc{WGuj`s80US(AR=)oI
z$4&m<{zbuJz;s*xsy>4fT)fDWb*tzf$4AAQtwSZi{-NIKuo7kX{)ohzmP7{jJnoFn
zEGfWU&+eP^A;LSuC-jqfs<6npaYH;<1_n8Y1J%^Ypk=`(Uc#UbyF(T5=lQZAM>+a+
zWl0qbTk51|4pLw*t=6x9N)C2+Q`)CqsKfO>X7Ax$RA>ueI?Su10C755MJ2@)IBhQB
zzRQ&ct@`%|@puB52?XXTpQ8fTj?hy^xf&odtY>C0q6n2yL)9%(w151X|8YY=3rs@-
zee*SyK`8sc*4;cBupTE|lgrbF^iFNV?JyO{l=!nwWzhh(x>E<sj_HDwQ)V#dOCpr+
z*ZI$hssVM<n1hv?K1>>~#x}Q;Ksisut4&G+qK$<@_VXBmpXyhGTP<X$;@@d%@SX<l
zWG{B-RU^>0jwtw;tO}I2qDXaB8n~KK_Aqo|5O^m^AV5Y9s>%=Co8L=?c}nSyx2*uk
zkz)E^fEwIVcUz@XqCgi{+LO2p6Ue`*BcmFw2DXe(4jZJZg4yZmrbqitVXtX~O`xe7
z3@%beqaumm<`a5AY0wn1{7#kx)Tsjd8{#-YQwbdE6m@kh%z!;%y@q3%43=;5l2=;g
z;Y&`Yi(G;kyl-U9TAwDt;JD&R9bXxUZ7*++$~S`wo%yp4&xsH*pKbf#m>BdJWZqtR
zY6kioGtsMtDiD<(^z-mx0SI;4dnYH<3}no{I~6@wf=RmNJ5M@y0(az|tTKat^>7`l
z7zRa1wmObvtam^lL5k(>cT+gS)NosQzXE)`c>Kx}mo?0=vG&WW2veAkc%OSPMGh1q
z&NNrlea93I>su{xnZki&hfkLVWq?jT@r2tqSDZds{e9S76L{QLVDI8B1!q)GZcS;7
z;PxUh11}{^Ad<YZ=a0TPe2U%TQqh^kSD<OP_7i}Z*6lSxT@lbJs{3^A>mt6tSL(``
zB0%x|Q9}z)L6|J*Pf#YT;w_)&1^HYsxGC`vUwFp{Y~@1d)Ub8j(}$yJ?z}PZTqnPc
zJ;?)&)5$l!d2Qf~J^?fPZyUkTdfev7aZad+pAk;%+rVoxwua)X455!Je7(wp6;$+k
zL|xGaj&QD&@}CBfY+tiat$hc)n3+4#V!nZol`CIPlQe+(BO8l1?$JY){jwF`^>ut{
zzG!^lh(0KWG4kFD-o}<ZtdBW9S;KSlnAHiHdO$c}EmnPW4P*I|=(am=6&HWAaCXO(
zE{I#443_O##KI@KJ?RQpa9zb?J$webaBxKRNOAFRjIETtbnx{uZhPSU-0UqK_&O&d
ze*4h`Mk0Q`C*8Y*U*(?Y!e+HW;MV4@71vQrbz>tjfoBPS*Eclr(pno1dnPg!HTGfN
zG4~@^JQs0Vsz?R<D=jF_|FBib){cp3w(Tn#TEM&B)L7EVYQdFjVb$STwHT-7yXv7!
z3%JiRo#%<0n()~BsaI)c0Im}w8}~zR0k1U(h}dM*1io@PszFW-&ds@PbW?f(C%NT+
z%e|}tc`rV`c53{9FR^mVA0RE@9~sYez$y*+a>^YfxjS&a<yTxMjxFF5+c(#r1=HZ0
z>id%i_V?nur|*8Cd$oY~-YS0aW}OPhO;0=!)fmL<*tKt8)LO)|N=06HT%kgN2K&^$
znPFUIeVa*dU=eo|3@y6JPK7^vD_Z7AW4KVX%d^>nB|MVorlOoq0UhSt8MWizaY<jv
z`Q)d|xV6Ea6XGfqcsw)oY{$)?xch6;w0GkQUPSnF?RAJc@X`$54mMBX4=!xg5&72e
z?!&ASc)l7;#u%<vaQwn8o+ZgmC$8hWdrLO;zWw{>`082>&sqFq@7-V8`kQzXqrbeg
zxGIP~^*=e`H-|6K)0qm2ZQ}=Lu6{dxj0{K4UJqZXna45iOV4<yfAL=#XPXE)Brst=
z(y%JCh+o@mP0FmNLsXLLyz?><hE7S+N*^uZrQB%GGj;~_>+z2S<$Xjjd}XUjufKwu
zE2<V41~a0en3|FoxhnA0J8N@!Wfgzhw-DmY!h{~@v_7S9sK5|M`tMJD>$rDHsJ~S`
zGcufH&YTKThSra(+I&AZajTgs+uB@KBvw%;YCNF?;aSdm6XpNlG3%98#dYkcTA;k@
ziK`Mk>pHZkxt9)U*j#9jXWxl#))?>=d{=}#hk+OOGU?H?M`67ZH@T6fnc;5kKt(XR
zd^LSefDwrfvl&?ud65a5$m?=eMG$ex5A-kEfqcr={#F<Bp-9Oav(NwKhL^%&7ID7J
zNV}tv?;ppI^nygs9w!2bA2gGkvu8#2yj<UCL?N`xD<DBqhyXGh=I>I^u%rA2pO6qG
z5k!eut`i(n0I_Fsve}iKNb>LbC+@alNK_8mF1=L%7H^iTS9H12O#A_Tp)v^+#ZqyN
zu~Gp{#r{)s-rzwkj~<Ffnn@$6M-O#o8x%m-vRF9iA|Dd0wa(69mPJ%ihep;J1?ZTv
zof#4lKx+>=ck{-|q3c<T=UcQ1(55nRs%uaX)flzz$x>86-Z$EH?Q#h4P)3IN)O%qR
z+;)9Xc9eh)k%#ItOccT2c?7c=6h(8LhIxKfO32c3adAJl5}ZAJgSSIW0*TLKOr!!8
zMC8<Z+ApLG9Z&sso{N$~Z;Ct<4wsS;DG`m@pHP9$FWl8%<77|_cX;8iCROw~!a2ZT
zi3mcwM*2_vkVQInHnm4b)zQL?H;dp`GN9H177=@S<mv41E3{2PX<ZuqQxfWM^JK?4
z-VO!yAt~0#@-G$D?OfSwG)w`l0Jg)Vql#!p+4S6#SsIc&-C`!}L4%hM{nXw}DItUA
zzLdR41BKXFy7@|Kg4O*3X0Hn>$Z+-I>m6R2sLs12SB^y+#_b(52<t?|N*-vb>(xZ}
zr$UpyOX$M=n8a5m9%Q7O5TY2xq=hCqIK7kX_2COv;8;<jiY71t+UrqGq<t&)a!-~a
zFiPzb%KfN@93C1w6rIvUA27r3u`9-~;*+x5uuvVD+b1YX-PAxj?WpeQ0{~BT<Bmo-
z3bJBKJ`{C~hN{c2voJh2fxk+3+`D&EkjJI5*LV*Fl}wc?CfqlL4=bF9CygnH`R6Yh
zotPTB-s*3G-2dsOi@Nw#HVX1$uzD;hOGMBWbT<008F-#~HTTd;9n~wp{PT96fFcsv
z<$s?thbv74Tbi~S3KYM=eDIAdnl=*DjDKhjvn#DO5*=g|-f%rBe4jY#snzizWSPSr
z?p2LcDhV|m+WK&*gdc68{f~&@=3qCQTc3Vh1ud4IXBEn4L(@w6(l52l0s9j`Y(1@n
zj5dwE9-Z36OQhd(XM8q;qsM{_{oD!Yg!)EEW90zuZFtEi*~tt}cD##9a*#(Ww){Wc
zx<;}6xL<cdrzu=>bE%I!Ad9@3olf3=yn?wpvZ(o4n8J70$q?EzDHIWBLwbLT4kBbv
zOtx2<K<j@PS-xKkMZB<{=b`R^vmFOhB*`WqAhoOC-dq^93*0l78)F8s%(=wEfBL>(
zO)|4`iXS};DfDlC!3vxU0wt^B077FyHxxeeAR!I|XSH@V5IoiL{k{$cd673Vzt3}^
zr#+rAbsp@H?jQYv$;=oylYB!K-!h~B0RRC1{|uLhJJw$q#_hc~*@X9fd6%8>eXK}B
zMH|_pWJJj-euYR9BD9bON+_iG9+e~%37Od|E0sNd{(*C@^IZ3N?$3wgXlPJrIv3=Q
zel=D<ZUi;Ga=Rr3nUIdj>GKD!Z~=i<JDC@52rnxKL(&RX@p`dW!*1qWuvY7F^vhEN
z5G%#ds^DMzeva$P_%BXCgC)Xa{X2jut01p8W)gQZ>R)*s&j}(;X$LeEcEEEMQnJv?
z9(?)7ILTCl6aF)yogeeohoJK&agQtB;F<jdT%wl)ZbnjG`Bdrw-|(ZBw{rDZV{Yur
z#B2_TW0fpW6Vd~f1RsqU{ywZs#<p55k^@RMbsg^b>w;oywqVGwQ7oxQcz`Wp>l{b7
z0*5voNPMAWuO>2s$+0Im8)R{SoavrfQP6=9N_dpZ{&}qYLEnVX*1bYPS(cG6v|-f<
z-^X?2A2zXHtINim6E2nR?)OyDhPcdJBYV;kW>La>_xLwXD3Fcwew3{Rciaz@<aVxL
zVHO5YysmP=QI(b-ii%nwQTAF~|I9jO-Z*t9%aa>gK5a%dKh^}z^8BLoxlK&4#kNK=
zfCqHHp1A&;t_l5T?O#^vFv5&jc8B~UUZ@CVYN&fh2cPvzwP(&V!A4V*f(Qpc<fZiw
z(2vp~*_-3h{Wr|uB4Q$DwnqSlioSLT{h@)Kpm6OTE>^hcF6Mn-T@bEtRnDcS(4dyl
z@~W{18|-U;^-Weq2%`FJh8T9xAjN^=E85BqU)W7f_2>&j+wTCEJEK$>i&&dGV8;o@
ziQWVrZxPV(dbsjAg9;9}#U@TnbHUze2wZq63e_hqO&RT|u+sQe?P@j;$f$=I{gxGn
z$iUQNpGB!qWgNM&Er<{9v9X^y{6qq_o3eS`!YL5GJR_s3B>+6W7H#JbN&#=Bm2r$a
z1r~>Ta&tfsV&}Y6;$)@atT6wGsvHH>V)fcMoP{7F)aPFcuPn4r^xlY^Aw$#eYTCCn
zVMtqB{;MV+5Bpnx3lFxDVQkJ*+G$7x=yKy%Vo3^MGLR`h+d&5D=`&a7EybYbTM;*Y
zR1w&A#D2K9NQPbkBh}1Waq!WSjW<nKf_yhN6(c<g*d;DqQ*n@l7+onPhEZiWI9$Hu
zd6xoa5*bze{M&%L*XD<jnF<J`n|lAZ_1>4l=5@!rrD0c^=0ZTBDkM6L$EBa8!mWg2
zj*uEzNW&kvNXQc4$_<layyH~(GuBBJbdm=<E?a@v6e7s%@(lYMOoP75f&RBnDL~Fo
z4bxgSb?`0Up`fEohn*F|uktS{!iI_h+i8CdsLnDn^O>Q8$#~q1P^J>du)T$(Ix?s!
z89XcM&;+{er@h^;m4QAqg-tS0A!&&aW#6v_tFC&dcXw@v>nCa4wQ*D!CJ*O+W!C{k
zmQC}X1r<2-;NpMmOH`1lGM-o1qYHf8H{=bt)WD!@lZ9+SgR+7hOXE-VAoN9WygeTQ
zdOr&MH+qT&Pm7_9U3v%XW7MMMt`UHT`E+WcD-9$P!Z)(A3;=s*Gb#Or2%O?K#@`WX
zus38{NL1bkctt;zw1ttN)9As6xhg7nmCT=vxNi(BCAwTjn<TIex0?7aO$CkJGiM^$
z0i@ywrP2<n1Jk^C<AW43B>M+*p<;lB6QQx50qWp&TkG~(iaOLC2n^e|%LL?7S<d$!
zRfk>u_6aMyh_Gm7eJH=)1h`sU{RBAF;T@q{sOys|Tpuh5@}Zc5PrJRNN+b#X4dhkX
zt89l;FUJ#NE||j8fgK`NABaHtk|4$uq6qi3U-~*eG=<jXNUBdK0d_ZE+Y?<V2YUtt
zL{O<IL`qm^ZPcm(7lq}tXpR(we7k5|@Wd2Yj8iW7-&BR@h8O{>-=a`>CMbzL#uPfN
zR~}Yx<!REfDBtRZAXsFjaPGA+h1th3ur{m=T-R<}2Xt}+i&M2DnZp!HZQR7C!j)hr
zM?+xMQC3)f{phC6OA|;@9%(HSQiOo*UH<W}H?e2wyFc?C*_wlITicC7dGLz9{ZOZL
z0lWU`or3cp0OsUx^s@W1kjdgx|6pzg^P1r+tGNac%+zLI!6*$elZ*U)r9&80{dA@%
z0{HvX4pv1=!ZGz1HzHEov1T6bU~hj6cC&fCyh0U+EA~EjMYL+M{o965P2DwymTiYO
zl~_e#CZ|>W@|`^FTn^`-=r2a_&0O5Tl2sVwUtbJrwz!MeNIv4<!)yfMey<}=(*!{$
z!D{W{W+8sPA%%C!&=97qx;M0i_~E+=O{!t|Dc+)M-dh`H0Gk#z=2l`n5MRL~RHdGb
z$Nu^l!-RH#P}sm+>S<2cdp6?I+|C>fO~ilC<J<vfJv}T2dD)@jZnttmb0t<!@Oqhb
zR3BO&XN-q0u|Stf4b{1_4hv$BSgR@2gI%_rr_ZV|L(s<n{hXv0j9OV>J<F;G(<yZ%
zl*|Z86Ys0y9(Q2XtMsRfuDVdfuQU;?#{kaM{x4~)eb{))k84FAb->m{P_TUa2G;g`
zf#cQgK}<~}=H9f14iwWr;)6TZFoxHjJqb@nu=a_AAFgF+gGn80jq;NfjIWyMY>?Ol
zX0W`R=*g)K($|?XM%|aO?<ps>C2mb&z18WiE)iNFcfyRt?#vQ)p2;s<MtBZuTG@Bj
z`JX0StQUwqS+R)qygO%CF!~!4Ea}YL8=wg(W;x;SOcpV}+xW`kx<6Q(TcnNfZ#tA;
z@0(g?S;QVYI@-&;{)b&0nvBW`qHpD@T-#)00n=Qt4^69H#Gd>|&YoG_`uCOumutjD
zY=Xy*&fl|)u_jJGn~9;pj;}dAVX=!?npckNgy<S}*?+?Gt|$$f^)9lU6kfs}ewfS{
z_20mlcGRUWKc<5A*Fj#TrX@_bVg0R82m=JDya{GArUG%~NAQ7{%UE9^qx{XUj1WwA
z4ZmGPfzU;!y`1$c*m;h|wjN_<peTjjDV`+5K?^&Z749|6UmJdkeP#h7=ZbQa1{o5W
zd}N$2u4CE{0=sSnv4Q2qQ~~UQ2IK~_?`Kim#JW$k@18K>fUbBK7VQRg$n#ghGQt^P
zsCc5MN1F>=j+5+aRMcTy_U&b-%Z#v49ZCwb;{gp*-;CqeNDwq)Ue5ZM3B*Dhi}-W+
zfV{cuPs%b89^|)Q3YlPr(<+HKQ*H_XVWX5?@hlM%BihKbdsv}q-tPO(89^YnZR_v<
zM}V=DTn0U@Y`}71eCVOKF!cCtyy=Q2z`#hn<l+|hbe*e-+QlXcy(e|&ZIlQgTT#od
zeS`~+xQLk#d=!IR-mic0uWFE*c|rf<F&<F8>BK1eTmnALv_}3(P=hQ1finICKCq=E
zNk6KVf*LQDd3Faipm=yNv|JDX7G^cw^%ZF#((P`AnW{n4&pTzJb%K!QYZmF|E(b0>
zrcZZ(8ZcLEIF`_b;qy$j*^f<m@T>h3Qg}=aq6?_huqqJ<=`EFvb614k&-?Q6WHs0&
zk*GxU7K7%h2-Wc+C3xOdW$<@a4Sx2g^IGakK)&L5T5#xg_|AL8(D^(8?!47}z(J6L
z9w%<~K~+_-H2q5~B@rR|8qTYMNrOfIg`CO>HMnlowoOiq1QT-i6zfA|;ax_=HriVv
zD0AJ6wlGwOHiq3-*nH&S9_w5;%1{THiWgBE4>cf)P2u2X!B)>MKGf(AB}1j3ZaBvg
z3V0SCI4QcS2!(>h6AeTvY_#Re?kc2$dcbL(Cx?~cLRc=>TRs{j<_PcF+d+f8Y3XgO
zZ??l@!nu8q2WW8bW_G0@Srd9if5)0Cslr-CUwUyS9Y)?p6yAHG1>&!s+AGDW0g3Sg
z?*c^=#!eM=uG#Cr?t>Q__(urvx9v;eN}48!sW1J0LDqvNtq%-DG6}dkF7Ub3Y67va
z_@<5Q4lru^iLM@3hay=4_0D2V_-|iA;ZB7uZbvp&_fBen@+irXdPoz3^arw53C3U{
zG<T|zPKKFxoo6Eo=m0bO%Sa*srm>G|WIvOk$k0te^c4-1j+$k<vzkDd<WF8H848>e
z>|$36rUI8yvv1!|6OiTbGmPC%ftRIge;gJy;JD?>!t^Xtkbdg+a9ckamiz+6XR?VP
z??8*C(#=5CCh5z-9x{wR$QwN*pbCLYvf**}&43heiQUFe12#Htv0w010vBNgBk4gi
z_$z62fnlFIEFE`kFiMkyYY$UmmsZT6Fu(B*ah?c08M*PPuOwiQVteECv>Djt>WjB}
z5Fp0q4Yk2h2-?$%ro5}o04Xfw|0!1miA<)+n_isoq|~dqH_!}r-I&RE_<K8?{8{$<
zr_v^-rg*AxMc51k+~13M$SFgDUy5ZO|1{<$bC2Q0R=-DTntw^#tq2T88XqF^3Ni6f
zUN;MpDR4i{WRbok4<>h9f~*#YaN7;Hxb1}|FsAWF)9*hSAm<1h{B@tl`)ibKnusPq
zY<e!mL6L%YrV+o&o-g4$HB%%zo&ua!o%fL75r_H2@Vn2{*KsFR@4BrxL)uN9pb1$K
zNNJ2T2$y6)hv~6lp(io;s@SmXa7qv)HH0*}*%;CFeH^{Z{>C8vxV50Nj~B9BW<DuI
zG9nJu&P#`{8Ns>eOUvhvbAoSoF4w^vM#MC!b@TOeLoixwT&9?_g6%}u<*sN(<hhs}
zx7cL>Y}J9@E@_M)QBrCA%a{>;bySin;Wq%kAg-VJscYD5D5KzHF9T9y7)kfvvjZZ;
z_k~FpFJP^9dQJ0w3@H7oZ0U<6eNf3f*L(ErZ%pf6@XE7|O*}3=*X(z<9?UH>D%K@U
zU?+Fk)|1pW@u_0gstOG~u>RXGKCp8DYx0mJCwpz+A<iagx1)8zv7(9cxw#cP+4$9-
zqkbL#7JK6{c}NEy)k~!a)Kp?xau4Kf_OIh3eV4KAJ9S`+XFBjG=_Ov>etB*$^E$rw
zl}sr8xi)NX^E3IR`V}|vUZ{&3S;KQ&&+ChC(*`TcqT5%bI&t~lS(~fNYdH6?_2%6K
zEpX!dylFGikN3yB&nlR#<Hv<Xzh*FL!8HP9r{(A{?*G@%sJ3byUq-8xk#J4WF-+@!
zk~5CidK{N|?!SQt%8ed(UZq2TU1ZrA(iGmGgKi3)*u)8^cr*V+&>`qMR~|WO77yUw
zh*!cGP!#b*cOnZNCO&JOeC+odpI_NzpP6Pr=Q6s2<ZjU5rzwM#u<#!|Jej+*tCA62
zVeOQ>FGB-w@^Eo_#b4a-Bc+W0F%vr8b#0UD1r=PaocqK)7H|%}M^n?K%qTkTC)Hyo
z6*^q>%{3I3@Wp=Wti%ut5~>JP4yvKR@`}wNi`iwIzjyvam<}82PAedjH@3XVbiZwW
z+bT|V=eWH01v}bsd+R_lBX8~3XEK?c>o~<Ma#+Nc6Fsc?)$%+^1ELRm{~<Ckpt%U%
zm3#$m^q+8lwZND<%$V}@-Bx8p@2`GrGL+**cBLH6H9OTI>@|~1i#roy@DeQBZNrZ^
zVuG}6UXVbuT9f5b6*Kx_HTtiuO8_lcGkSR{lVIoeGap&#tmxOTKsO)>A(Q#gmY=yq
zh{|ioU#n$9lU_s9Qdz?2J?H(sZzx3g_)mKVg>#@(hh5#T)kRUz2kk0aJpnpTI6ufg
z#)T@idShY-#ZZ2%%j1dw0t~iH%Ii7tAWv0A;!?E)@?A1p<RKA2WbpAIXDT1UN%D0U
zK1iW&!MUG}7S-S^p{n&vxBv=SHLpGLPa1{PJt0;6Py?B=m~_K>L1aJLnUrTMhn(^W
z?zZ35V4;jB?l4^#bt$0-(R1?Xh8n-C!<ZUmX0*$sz7|238bhP4Z4}YfGDE#b+X&z^
zYAO7}NeqFV2bb<gCG=rA?^IkM0es&7?V}PTP<-Xvl3Kg%sQ6tt+n+yMJ{Hz(v0Fq6
zJzc>zvX@m*-KP)F9dd|pQ0~ISTSaN~W!Liur%Ke&>AS8owO2^M_PnP2uAMB(wHx$3
z6-Go9*0qi6+3IlUlG(cyJ9*TvGOA*2qmB+p7HaL;)PRt}ON0716i~LmY7VYKMh>at
zmm(fgU{*}S`t}b+lrzPD!gPs(m}B~0#W!sAr(@T$Dp?shI6GC0cT-U<X-WRiGz|*w
zB%C;rupKoDs0sQO(9pKhFZr`OG`G0Ry*Fe=1*ytYrD-m7lvrookzAq$lTkh&qxY$y
z{mL$SB@1-ab#N_=%T@<oDl~Fx<q=TzrTdk=j+)4`N#wPHgdQBv@}J(AAfjU~10RZ$
zG?Be>33um;K7^Mgh}#RRBaEedQ2Meax}|r@gz|f9zmX4uw73SkXeF4+M$tsv2lo5x
z%@{#$=1B9uNe#sF!FA9jiH>eH*STj6VvxU6(?Bblj1J$9KBe@Sh8%g$t>AqCKU5cf
zhWC<@u+RIM=3pvnBp5f%m6^bWI$o~iX)+pV`Bh>lPDZsn-3R&4n!>zXZ|-6-85tM(
z>XiQ^B9|`X3-371py*Vdi6fDWG!}c9v%OW3kWbh^eTW&1+q!&1$25>tn#Ri`Ka>#5
z8}hm1$P7FNC!NSU)lu?%d1vN6dDOYfn_s2R4Ae|MI#?|cQK^4rU4OeII?{U)1l!F(
z+q<|tK9qpkZeXvU-4I6dM6cw6LNjnxxnUgoLlx1!TfdiU=SKSR>C$nYX0TW!quwr~
zf|eG18#GoKk&;IT$6X#X(0j&$4IffQ3&SB*TKa!*1uUoVS+*(o``by4#w((;J2NhB
zCb!{?xarvJR&Rp%ednrLdE_y_4U_3>$6|5++{PjkV82+`dtsX_x+Yv^Onf(mP4hFm
zH&9LBuy&=Wev1_PmFV+%_xNAze!~8&+grYW)AGk{`B&no*LCrE_Jd^%JFS@@qXkg@
zWWcbcQ3O@U?n_|rUc)3P=6xoC7!<uat#fso5L(HNbUrY+fpvc#kZX-L2F2K&BODg|
z2#eXjYPh_K>6srnS@pmOsv?~qx4+{;Qu%Y^-_;p_&M^1N@`E8{9`gOR`xzT@{Q1{s
zztol=OzrvTIA;L&CMB9YHkr`C!^Ga+l1(f-<uS2b*#P8++$5^qH*pf-i|B)Y8yK&s
zLdK}m4%of)ZLen3GG4>8BPm0C1LGzIxSV^a4;G*K!ud@9;(>D%i6M=3OpasM%EXKw
z#8^67m(gbNcM4aVhOO4HOU1SP&6pnOJbJkqF*S;(s(F1Uo?FEZU#Ja#o2Cmk7ZmSP
zHGbm0QZ@$^->zWEL#=!^e{|saU2Qa}@(oXXy1&0lc?Em%*=?GBNC$NKeO?YhC0@c+
ze4c5`x4fJ0lVsm&!=C7szIf~Bm|8l=jf-cNG5<)7iDp%8c*A-ycv|f<c7yli%ro0%
zOed+#T;#SE1WSHbIS}5439yX&?eSX1_Toj>uX(g!0HI7jwO%Z$>Yh$!;W8GGwz-@h
ztqIAT-;A%w4r2Se+QU;6RxlOuAfH4gO?VO>LA`rs1Y7LA$0qw}1sj`<AVglK!^%Lk
zL_yLx_N#rJnVh|fMas$K9pa$F<WyC7`mJABh4aAT(6cqnm?L;{HHilOXN8D5aWmKv
zc2lOj*>%i2IL6;?t2gJ{&K@p*Gl$tMJ+B~pZDNKL5RZOFh4{*2IVIZj*ce6cLu&#9
zyyoQDbJT<i#>VyTE#-f(Q=&F{hqwIi>vCy+WibW(-$~w;vHXXrJk+))XD|V)d3XYC
zoD8kM?5sn^7ckYTPCj}wGw7Nn>k(DRpnWb<=*5F2OyG^_codNpynWAz)t%M=|4Do`
zHfRMq-M>rgdOjPdGIK2IzgCAVRk2+yUTc_zD>^M|%K=8Ee9<5I)ZsAiKi_lzZD2W5
zUSc#=E|_Wa)vNU(fz*+2@usc}ke5<5vX{sM*sHJok6MY);Z_r;c$X1o9&5d(Iq`uu
zPj>H;84>nfv6R01n+d2iH|_`z0l-&`WlmKSfEdu-p5e*@r9oq_6DkGatjh34vl#(m
z)9Y&q3#@RFCR_1@EDXMiT3YlrHF(?1pB!Jv4zt&d{p@N*0Lz2wPl0Ms_oYBdEuIsy
zs|t9?QDV?-`CW!zK@Dz=WtiVd=7w(bn7%<b31I*JzP7$k6(&=^-z%u+g|kvc1+sxs
z;QI7tlTeW=Tno5&@4ln}{0PX54tg#Pk`F!VJW^GGp-``?&|477xW|n!NjdPmj0cq5
zR0Uh7;7FzpAs8LJ{p3xTJiPBbT;-In3I%D#;`dxdAk?{g(8yE~=B_<7^BPozFs$;F
ztDqP>x_AA7`+FtWACy~v*jNqXB6Jzp2F0N>y4<SGVLN!&@2oodUJWdKbgxaeOTw)$
zvvMc4yyj~r-&_4)0^m<`ziiHJgWIuFKc8=LfRf){+2c+`aL8|pyiS#c&k-HY%B4hb
z(`DF|8chP9C4cE~Yk43MEcPABREIZuXLfPVsDq+QEx%Es0z7!C;rua%3|WOi#@!Fd
zz?W-OI6j~Vw#!${taPa$VdpY@;2;%%I(p@gsWPm~(}S-o(x5GFWb*7K8j#%wY%8B_
z2Os?^xA1iu>^1VNx!p+z4jJ*2M`ct&U@#z@5vRj}gNN&cowa~#wa4n}H8rsJbgUS*
z*94Kk*}Y^D9Y_I(_4GLcEZvLDFlf|-(W74;-JQ{e>)~g=gqV@QcS$)^W{Z!bFu6j`
z34Q4H`uln<L>;!VJxR>?s|jHoJ|6W;20--nbkK~`05`#$M}1kEkl&(Jzrb${{6xX)
z+#X~o+jFKP;13<Vx_S1m@&Wwazck6uMuGFn_Q}{P4I;Dd_5p_p&`r%wnL1H`$G|Cm
zR|OTg*LF4}O`5=*sqC-6XDCqiX1pQDn+!fbvLr&DnL<U=H^)mP3QTo)_*~u~!n?m?
zBNS^h(6z3SczK%)pAA&5M%$`F=x)Y&i??QQx_U`vtzwI3dH->X-%tW-?<XoJlR128
zwc!v=+462B!-+f3<UoJw{?%w{a|rpElO0MW!CzOA)QofqICpGYry9RG+=(LfrrjX`
zty|$`ynqlGVg(<RewqQ()gg`_L#p6=y=Rs^gahRLU$z${n?Z%;-pnsTDiGZA{!;tf
zHO$Q-^n@AJ3}!tYmriRdgX!^Bm!30Ym<~herb4wTXlR6<4>+s{c6UAat-sXZ>w&je
z8%<2%y)ji(WXn%ODvc?SJ&9}ho%Zj<O~4J=Ud}lq1LGnR#3Q}`@MGC4Z6gLIaCTzu
zNC%q~h{YVKchq0Q8%7->?p6To3@?x6`X&b1Eo8TECm9eaI+e3W7r@^r***QcFbtpF
z#}quoh(!0Kl;@qp;Jw#ihP|L5M4_HO>Q^Q-9IkEYbj28o={8Zvg?QopGG;Vl!HjZ<
zgojt|7=gxhpO0bZIl$48))?!~jL2z2#iVLOFz05|;@`~zv0kz)#+J-z{0`><$q55k
zI^Hm57|#Gfd~W;jt-fXGlf3;?+5rC3Qyd#Vwt`L5m_}OfGoip)iG{_ZJ7DgYMSk7k
zznIW6qe-6@6H<-`gYS3rp_Nlx`{=)EEdS)je=hZmsGkrWG%=<JhBB|F=DdfoleyQP
zUU6qc-|kymmFerjv0I^aiftX3D8CGMC_f`&TwkYuyr~Pp8x#_kV-1!O=+QCNz<?5-
zEtHhZ>Ofhq_lM%srMPBx^@juZ7|?myDs`nTUVT@{(EgaQ1)r)t*G!FLK!WF%#Twse
z!#umuPKT9l+<80sh)W^^;w+bHK10xkohB@wsH=nc;h5{cOo|v#<hg$ityx;|>D%J;
zy_;ir)14-pA5#oS+Qb}d5z>N%=<qXV+J50DG<yfuEg4b9qJoEcq9*wB-hTJ9a~3aA
zzFBa-h7sLS4D}S`(}Y#^CCei}e&ak3om4oFGocce%fm{^bolXa=a|H+Ke$NtiTg=H
z%&4>D6vbDH4j-d;XMc?UhqIHHS$U?I5&O3|;>05wOsB$tuhSy#{`Jw<r(-PW%H}_(
zR9zZ;{>&y@YPgIuCE}qiY;5TGle#148>zti-}koO?W=fG*?%&m-R$USh=askcPbQ*
z4puBGtm8+ft@h`YaUl0#vwyP8RM>k+tFc>W6W<{>_%LKQ7b=Q+E2(Qu0m1lU_3f`1
z(1dJ9HHC)<HTnt2gr<{W-to5SdOssNbeP0&f0Y;Ae|0}8a7F{{z?j~qz>H3a1nv#y
z6F@JX*K-!yXuz>BxuUdC76j*;JL>fXk?o&~D~)f|;iiV$9>W<{)VkY0<WZCmYB^<+
zmaC}_5_N0|?U&e5dA3|4@3=5x?RpwSsvrSV;FGI2=$z=ec5#xFpD5C`M`KCWB)D#2
zGg`>WjXeG9FRV(4qmx{!B!ej;9N@o@d4q!&9WmgE86J~Be^yf8f4@hB&EQkZFX;Rz
z@rqBtX0H@-&8*cq<VJ)U{V<g;wE}4Be$P9*b!lW-U=YTQ5yAIqDf3xwAv9d;-SEs(
z4)t8z)%1i$gx6M4WgI@jXx#bcd!3*1=zjnJ0RR6Cmv=nXZxqLk?2*0qb_e%fdw!2g
z$c_|=C`EqJK!XY;GNaIvCRrt-GIF1aGE4SONOtxfKYu;1*Yn5cbzZOMIq!4cdF>C~
ztuY)#@;GIij|m|80t-WRvK+eLRk|7d9}ZH5Z_1!ZAynt@Sy6gl9`#u%Uq4%h1Ge-^
z#a2uN{SfV~H55@qbOKkn(n)x*`N^)DEG~w!p4_ZFoTr3rOG5KSTkufz!ZPHxhy+T!
zN#w6`P(k0QF9rNx65xs8c4nKl6k2$BXJ}{_4t;g~MhbXKgk0Z(`(N~BP*=YTdi@!X
zKD)BVi*Kp{-;8O%v6Hf>e1m&y-*qC|>)#ilx`zbQPaQRjGUZVB`m0+DM(W5?(ot5M
zM26t=*)!Ht@~HfKBg>aS5<2Ho=iX^Tf#%9%^nHekh<!TO>VO^@J(nx^b1+l`Y%UJ!
zGbAaYZGM@?*}r6DHrEqY+N%lvy|wC;-^vJ|t|C5jo`Oz(j<>h>)&@z#TlVi%RZ)B<
zYmHJL1+`b83@dJ3ke3TTQSOC90Vi;;&+}@ag9-~bJzMo40B7GE9*#$1!ORQ^92$s$
zf;R5HGJySh@jvq}6OfSab=BG`3JNC%+;vSfg2ZcYsmO+i=q6l+)$}Onk#(eXyDtVM
z%iC+Ee~IW0Oa5IwUouj4u0QxU4d9h#ig(!_HMIK$r%|vo32AUIYjmA3fq{bJ<#(QH
zNL)9-g~Y3dICdMlZAehT7%%#OM@tPQ+f0U2#qj9V=g=JNEfu;X05U+$zlpmxJ`s_y
z4=%oAP#L`u3clc~XbSxQ)Mm2Th^S9Z{Y+)70+LPaJE(Zp6po#_q$k5mK;p8*fMK#M
zYX8YzU6y7F!aGmd_X~$6uQSlIPKcv>yLGD!?wP_qub{_TVXA0hlvdE&BZwvg^3cgk
zrr@jJGy7;&8Red@BcD9PgW5PO*+el@_;pxh@4TxLnh`Fm+E`;oK|Lk(8PilKT(F97
z%2hx-Rb19dMw_&Kt~@PP2~_B9?sR2Yl0)s2O;1;@Ow(Q%XRUF_P+>3Ym%Csli%x0(
zt=9VVop$-GR<}x?2_OPrK&+lL>euda%KzAk`5HZ5RHT@|AJvZZR(1)blva8wT7MMd
zNGsm;`8~kL!$)>em_$(;=5y(g;Vd@(u<J0BF@TK^_gIUX5ULdrDRJ*uz*g|D+~3Dz
zfG-Qux*x}n8orb@H)$?o<~@Qw$DSL*qdjBpzLLC1KesQtIAsO<B-Z*?;gb;vOdK>6
zs^vnrAD`6rRA0qb9+ke17%_yH)1OXrAU2fXk=IVqTE)^%bJV8u8^Xc#!peGaW;9k7
zA=>_Z1#8>g{r!NY0hEV$|K{#sKrXE2jct-ESk_tr%{NjXgf1&b>ve3?XjjUjy^WT!
z-A(E~=fCazPpJ+O*UU9qSwVym$#e-5TQ`&z=hXw;AHP*k_9dDbbKg5nSj4{BmI%*z
z>h9z)7s;;7(o!DwN=29~VA6hlP7mMdK+yNQySzS4()t#aStcCjF`NB~2P%1WK*635
zZ|^@sW9j{rk{>*WwOHw69Oty*>8?)Y7u^Fi-`vAbr;2B>xIOKo`W;$e6}|hD^iT)w
z^^wtbUA|dN?DG6MZWAq#j5>a2<n(viOv~lK{#!E`UA5vBy8=znanql*CsfiFJc<g;
z)n_odD?w&;vYMcKcHfrcSQL$9dN}95!GGA>^?G#Ro(8nW(5jSDOR(1e*6CUE|6yyd
zhg%x?G{7T${Z~zMHTD7g7gNgrVavHsZ*wJ6z>d(w_~!QytbFRE=}p!dj2wSHf0>U0
zC0e{kno?S^2KimV*nt`B`I^}5nR{e#G7U%&o$SQS9N0f`ew)D>0$ArgWyw%As^#g!
z(T8z&)MNT?v)Ccs3sr@$NZ^0|jL-LL16X|%CB=?^4$GjPZm>5Z!TkxXZr1aI*zuW@
zrlK=**aS*C=JZ4z8gkr3|MMBf7Q*T_E9T}g#l*#8&jvNHIO(2w$zud_pE`E&gTx|6
zw>N3y)fN$`oubD3kB(xIt{>c{PcLCM+zj`Xbcm3ByHU60(l{oY_PjWMdKn8gAF?VB
zCP1Am^V#QllURL>6IT3i70Vxa@$+aI9wd^fOP*WP*a-u*pIFE`Ry#lWPK*f;0h+uH
zE)_GF)tNd0&csbj;%bH6s51^G?!>$0^UPr!CF7+>dbY8KjJFG2`KmBwPIo3hY#vk7
z{v{BrK@VAbS&~`VRbf{8R~a4GB4);@=3)Pk0kB2tx%>Vq;Fw#af1_dvGsDy4xm0#R
zpHE#J>QDwb5}CvK_6o+V_wJ!e9~00K_7c8WD#LiHO?=z!HSC9)fb+3R7GMzRp{^q(
zkUM(B<J0F2Y`@MAhJhb!klgvfwg;4ewSZn)LwOt9TRy0)B*Y08>DPGYYZM_U$Mjdn
zARWlZUi_et#tkCE9}E{=72z;mTu8)`0qU%O9J`;(1BRd{UAdqD&7ZHVr3^Dd@NtWr
zC;}fmR<U^M_CNvNxMs`NKVpJ6#G%upE&L!`7XMPnMgg9_;?oa}U;&BF>lsVW1>w{3
zAD*im3g8zhosxTp4USlJ-(r0t3=!{#f&#nc;p?Gt{L@YjxaPCzd81ww&J+by=#|UE
zeKlX5;r-ljROH8SgQ^77e^pAk@kSn~?$xWQQ9ST4!gx%mQVOPxi1D{R%7gu<sc=<B
zJ_x(wzWS_M1}-MFol_o>2R$0+vy5l_aMU)0zHP4@O#OMyS)--^5_8rKu0DbwB_3XR
za8e$~e!&Gf=?XAGH<EkLNf>YvJahW56v5hj+vlg&&Ur@VpZ!Tu2+OgT%ZyV7P0@ZO
zQF<kCa9xw#$`J>`<Bs|88>)b}Vwu1*D?{y8j{jL9DY$GR#UOSU4+hq(?5Ay2Ab#|Z
z1$IydiU<k`xn)FP#X56;{89xb&yZ=S53+E`)G)vQuR2igSwA}Y6%UbjUmxlw$b)4-
z&WSuWGW@lij$LO{1D%ORS*aogIQ)1+RZ^G&4abFIxm`(cI76C8&`b$<?yb$Q?)3kp
z=URsFAQ>Ez0&EoeltH8^Tvl>U0~j}(HFiDKfEeXCyV+n>Sf$?h`0b@8^yjDRX{TsG
z`r_7@)lMJyD5=zul(fLtBt@xWhll(1uBhsT6CiDQX)*YS7G%ymd-HT#51cZe37U2j
z;n<_c<Y{v)aQMcM9phyP-Mt&QB_?%fx^n!*w`NU9ntBjlU1tn;MvLZ)7S%yO`OH}P
zrUv*F_-J$90noJeIeW;C1Wm_8zul~%fYQSeJBimOAk5vKA$gGmO3ZIxH|mqYy(Ob!
zJ(mhn7H%8+gGgZ2MC@L!R)f*2AKE>`Ou;p)yH(eO1S7sq27b9X5YYeN8!m4KM-;^C
zlPlGM{$)``fTI$4G@n<UzHJ7^zN**mKU0GSkzA9&f3iSqp1ii+U<S(}V_gcmJ6uU+
zU}Qcb4npOrv)5bApfN;sdpZseZZ4<y_nqYjx0olb1_fp?IL<Ghxx)kV&Kq|kGgv{b
z!==8++YGkJQKbAFWhk*KzYu$L1zT1O%Qo9Ig)}d<^GvrDfyY9$b+1!BCaib+IzGY_
z3~k@gp9z!)J{pDddB_BfohSI&&t)pyfoqpqTxCHnacbg#%Q`KNZHsiuhYDl-#fSbp
zl7e{V1eQ<349M`sllAsi6W|<v`K!2C41$90P=Y=&BZGPdzbB?9z;fB3eU(8N>@`fh
z+b^@BXySW%jduXE`hwq^Z}9`$+{O5II}TJJb;yQO4M0Q%yQX-A2eh&_cuoB{(W<8Y
z=J-JjLihZv@EvA{VdC?dlyy!dHY@$o-_sZ__A-gNCozG>^4swzDqN^0nHm`xYy>=w
zy&>Ko>43RQEU}x13*l1JF65*cf~&D>+(OL?M*rD@X{?bG4d)1h<QD_*R&NPWS)0Ll
zwA-Y;f;iEsvG5qSHGSBS%k3Lk8p0}XJ)4Ub;6#OLK{j{w_2IzHlXlO)HDdRAla08_
zIgkna;Q5W~deBO3Kg}v!Nwa>Q*j0R%12LC0cwcYR1qo&s2hEHg+GSpj2NM_v>Rk~e
zCaUSerejd2K-UPZ{6vkU1)c-xykWPzo2Ubv!86(Wnf}q}VsIt1Ivl9t<D(qXqBgYE
z@zBW{%+q$CaI@WYk^>QNIDUqs+7MVEBg~MsMB_R;ce@F3ARkEu>2IxCpi0MRXV|<-
zyT-NWqNE8YiVyL3wYAj(QhICk<Hilzeu+!cE)$&Sg3RsIbM>0Q?{-*e^2Iid^p<Y2
z3~?dPeXkzL+iQY`@5JUTnI0uvd2V#-GdDW@)ZE;yQv;60i5C{eGN7`z3PNeKyHVza
zig8&V4e-p9(W&^&h#nkgZ!dqzgM6YG_a&@TfXz{rqtbv0UF00={1Cv4o@5x#qErgJ
zJMh$2@DVd&=(7D6WygoYDtptXwJ1O<>b37<V?}G#>n!w^{HR7<B;sH%8Twc9C0B2-
zA?`)PWZ}aCXndbbxNQs>)M(Dd5`r9PY4SmFW1Jwm%7^u98j&I4<Iug<GEU@XvZ|}u
zDTF@t=IBPPkl-~>@#VM>ZdCazy~>L!g81Xws+-D5!0M`2{}s=J_>S3#`PPdf2c7rz
z711Q1DOW#_#POo%_qo6C2@*#_Uoc~CcM@>iQnh9_;6qj;{!J}LlBit!kMB!E5-=%w
z2h%+Gk#iP<;A<6WG$r*WBu<$GUEcMY9CroKwMUw!aSvorgw27n0Vxt_2Ac>e{1HTP
zpF_%g3uRI3;h#Kn@+6>Jzd#kW5=LM78joD*ltWwpzJ#jl?&Q-BXriwo==L@-ZH!w1
zT~)4cBka`UIrcH_nVT3A-ormiby7s!F8}Fgr0m>pm{0s=l|W`chd2YDE1@YB6`6el
zB<L(Ppy_{?L=Nr#0x28HXe&BPOqNOp=`li3POda6akg}-KctF&=opCpE#KM4zO7$3
z`7VRhE8dnUmf}!?)a_X>dkP#iWIlbbNfvQuc$~Vl<2Q@8>O|o!3Mlgt@}s-u&<J1q
zamT|%H1_v$D85z$q^3GpUyRA4?+^InXOeb2OUiGaQm6@^GClh`*A!5WPRi1eOm##&
zt&+G_q6O}s^Zs*ZS3+wwsa>uXB&7DMi_WfH8^%j^brkU{Ba|}WTk?d2)*5#KZMQCX
z1v%kg^Qxd9w?5z)x=2Vc=Do=U4?UQSu>G36rGnC?4n_}*lThJ_<m;jz^}+6!a-MFh
zDl)=W_^W@C(5(_&X_bN@TvQe-+#ioawjw4eL9rxssyStseu5EnCZ_XO%HUCHtgB22
zKM8R@Xp1LJ83R9`#psVXJc?GG&1dgXL+0`j=_d)`+}+b(TZ2cb<IS9gIz)6h`@OC9
z4iB3YNqAx_9&x<;$ZTYeNAsb$`A9<(P$Tj<v*qIv&+mb^JwmFe<<69QM!pGz)D~V*
zbHF1VbqU{%G9|S1=4jAQMk+XYTHiDJj6>5?t4hY^3TUF>EdMj00(Tf|?j0r^B6Q2(
zFEq%aSIaEY?MJDwa#Z9DpR_94;GKULj-=3%VymLpe^e-aq<FtkKn1;?WeJav7eh&p
z$LBQ;Q(^VUOV*cDO6YYW?soBxhsti#=dbEeq3@Aw!=E>bDBk0SS<E^w>g-o~+el9Z
zOA)r%=Hm)T;91fwLkTVv{@HABp~3`i=37*G@yjFAFXNw@)mczR;4pf6$^`cQKEXdr
zlSN(8TP~^U49ISwn5Tx{1dNYeG#5Q9gH#Ad+^l6cXfwW<&*(}3#uLBTs2-F;VM%9Y
zH6s^k#z&f`LmdICXCklrkBFm2V@grJ#|-V4`@a#oUJM+LSUL@-ilQ?;-$<OSW3>8g
z%Zfo>4A{9JM>m}mMmhMR7N^7^n(G6t6UCOs!1~5jecM|QagUa}!~8E=OuYG})d(Y~
ztvJQCev==WCwfh_&G*m*YDE$%D-A(p*;Itu&Won!CW^ZfyJ@Nt`DJgn4S>$+Y4Rl-
z9^~a!BT{4DLwmKLR%W`#0AAG8bsDyDAqw#^o5!0zn$i8U0xxgrLs&}NJ}(ar#Nh8A
zJ^x{V<{DBMFyF5SDS^X$MI<&9Qh%ChOJ<0+f8dm@vW6b?v;Jb?vt&W4S>gxQ=Kj#M
zlqs#0cwO+e`Ft4ngbBIeDAtl9W3<c9;`q15bRaI9jhw2v3x#=wN!o`^()NE4KkaX$
z10KUi&9><nk;|L)OC;_Yn#OtWRPVRiaKW~&$%LK(H9G8S$eEv|x#k1})JSPV(UNRc
z@XlN)+eg;#nwqC|<P#jj6SaVDG9rXNkq*6k@@<WNW0AIpo1^+XgBBS6A<;kMr$hW9
zBGE6UR%kBHabx#GG~t}Wz5BnfZqwNJy!AeGaE;btXHeU-qyZMe0`85H+q6MxdwgQ{
z1}!0}FoAMG0|q~;_?K>P(FmzWdoBoW)AnldmEYT$FF)l%al*3Ow1$AJ>eVJXBtoBb
zkt>n{TWmZd{9)TPWtS^Dx~dGwa%Jsb3J(RCRRv}0IOxy^K}*@$R7Uh@$+=$lDH$GD
z|2%Owhz^Bb>buh;%7h};?Auwj$<XwjY;b3l4xKOUxH0;k8Ku4!trh=40<xOJ>7obp
zC@1Yy2L!UBvM_aO(kT*{;oPJ3T^JB<#GYbi&yIfFQ(a8pCc%5QRb3i|5m}Ypvc750
ziC9lQ!zKEu!?T!Q0y6kr$ibeIvGW2qa{92$yzog4?wG{eL{XX0Yk`(OA}4szmxa>A
z5qUM(TDf=OXb3ZMJ$Ucn(QICHb$y^zI++MnCbmSsRu<&bE|avliy!SD*ZCO6PJ}xP
zo?5AnZ0Oq=2M6A(0?0P$l`?-a0cu7sY>6(jqqd^08{2|Hh;q}eRaA)p^OTD-zEzwE
zHJY(;{t!l%QooD2>+xVWn9Hy9ksApl4<ug56Ga;L4Nkp@z=O>#Uoy`*9yGr>`tkTH
zar9RN_mJHN4^>VTYjPR9D2Dx!e094d8nCr|5k|m+OkNP3)i58je9={XS3m|meJ&Q(
ztcVAzknIXOa{=Vs9~wL0D2svxTNcy}@Q``*S8!pKAo|X1B6TiH4oUbj+G?NK@rO<G
z*=JtDXiNXzE!N!%sK&6Ieys)%=EEhtza>SHmgPS^TAU(!)9Mh#WJQ4C?#ln9*Thgs
zt@7L7V#?^{%+j@eD+CaOs@0Sw3FJN@e5j;U1v&V9R-tqeAu4anyopa5rTAHu8+zkV
zfjoDF)|?u!9~+wdlqG{48?l6C0Rl?>{AugF0tp-_%Y}-~vWTN(lk%d9h>rg^s^U0H
z0y*o1w<T=ysGu|9CcB?HDvT%dF8wBhNbiu{H!B4c7OfmRb(w?$t44h|S191wJ#70W
zSrHwIV!Q34K}K>9Yg6`W?(Ad6JwG_Ql~98tSLBN(GD<9Lv*Jk8f_Eh+gr+1_&|kw9
z@vAlzRB}>{JSV0D_!!;P#|KnVL~;n--V6$&g3rpeN?lmUKEQSKG7f1>TDg>bq#)tL
zXH5n!=|ez`Ole^h9^F^JzH#L_1tHgKPDQ4M&@7ZM{o)h>34ZxQ04oYQOqwd#$72i|
z)9T;76p2Xcv8I4y0U3R*_2o8e#$a?{K(9QTh{msFG6uDfP;6;_QuIfF!rkA!>;4gu
z<9*&Jzw_!ywYADi^{NScOngdCTqGjJ{OCiSeFT*Lh5tyT0u=@yvBaKyPei(=k@d$H
zR1wTlpC8Vn!uW4{sdHLHRC?j{>Yp|x#1Q3uT4%Q@WRbp2ho2)LZXHsx#S?jSoOW<5
z!_E}m?V9>d7lcRh2O7@(J|lzDZ~0X!_?ZHWdLr(c2@Y-P8Cx<`i6M>DcbQ7wrcges
z_fTP21&P@Eh7kD#k(ryEf;X5#-ufKx<Z)%RBu8GYY~PKz&S&ahW;BI*$H`pbpNa_g
zGclB-ni)-bg`Ds!qC)aHwPW$>3do{&-DS__Ce1IB{-L1bj#m;MCmo5ELzN>7XN~A)
zX(NB_)i*{=An_`%bkvv(Ixkr@HCx$5o8`41+zv7UbK}4u`<GIvGb|){BCiq)xw6V(
zzYP%e%7arbT^t3xSeQBSbO1ZhlzGqlCV-23#=p=~5yZFZ+26T)9J?2HZoe=e0Jon<
z-`Fl8#LY_0h;*L8Dn^4Xj~QTa_~OF*jtG9lQ96DpI%E!;ZrFca#Kjma{_<=Nk$Dk!
z@1tvDh4a|vBF{~SP$M`^dvM1W$Bi7VqC8{O7qFxGq~!QaLpZA#-W%)8j-Jv^%q>VS
zU<`B|q4VtqaGm--#^*OPGUc|mdXznnm1Dl9XLcLFm8cNcg&IawyqmAcZ*&g(ZcW%-
zYo`zE9rP#cnCX$5r`Z0JE3=r|<hh1|6g~JD8#pDWv`Krwb0<1>as~_3h<nvIpbIag
zm<kPkuFzOyg4Mre|HI}=R`cs9y1@CuGx!nRB26&LJL~g>DNJwA3kAnm9rzfb?r;8b
zmZoz3fLr^)3G9_)mZRWbZTKqV5PIh96b-M=eD1IF7)G^valXM)8$`~p>rov?X<z7k
z4JSkXVxE*b7M%hu;0}pcnCKp&jb_-R&kcVtQ$=P^aWO5(tC|&Ioc=}Q<b9C&$8H!)
zaQZ1>9-|388SWfu%3ZYVp20N+#v#mI@vvvih6V^F4_ie*3r(O#<MhR`-xw2($XyYr
z0Y`!>nddbcXi<T3NgwEcW8RM?`AerMu<n!2c%SrzRy*kEn{G9Lea@Oi9{v=VJX89t
zF!mjdG)}L)_r@>m!`d7q{v(4j;iCRa;iohyh5O>JP5sz!`*KNqFd018S(Ka{Z(;t_
z$m5EE{aCF)<)GLW3666Hf6g~}jk)FH<zM^tW7X!`Kg?oD&}%(SF|jShh=j94$BX;1
z6v?jp$)Y4U%2YKi<njsYO!6^uw)=&-)`i|^Kd25i`FE#q71dba>#wa3#0N0FTZaZO
zT~mX57vrr-W3|{RP1{-O`vEL!yyo4XA|jwErt|~zjo7iwfNq<R-&oR(^ZpB?1aMN_
z%(}kRgaz1T`Z^sS#I9{@xL;EsfS<O}m5ljjOeB1I)#uU>c9P>zjsI~xU_*hr<14M0
z(6n=@@P}dSn4f-cS{@E&m`d0txjL`|#y7am%8y_cd%x8GT2h6L>P_Jxy)KM^ok?J;
z{EOjS<i`mXs-SY}M$Fjt9*oUBs%}@@80H<*(C(eC0<rsb8u{n@u;Ls)4T;1F%uT=L
z-I*n2IHSb4$HHO&Qz3>~X4g+)t0O5_4V{%i##5%T@AYpiJa8k&Sz!iKa1OJ3|3L{P
zVuTHqHHWa(=3AoyH)gTxhn|kK$SA>qrgxZT&oJhle0RSG=RD@J^+YQsK@of{#|sZ-
zk6?nQbKf>pEMR7XKUrJ06hO(KP}1zlC`M51#@Zh&Vd`90hl_#~053r<+xRw)ZM>BH
zC6Kp*^+xUHBL9;IvGO`5M#U+Neo!PRZ*C1cnNnKs9v}~86IYd8KK{d^=bo86Uf9HR
zvs2d{=j32*h&jE+dKQ~-5H&24rh^ad3)5Pma&UL0>}ycp946h=qPd(+5BYUlG(9#s
z$UeBqnRj;qi#dDstcM#TTv~lC|14b=?qSBW4Of@2qigF2wGEiSsc5|WtClRJ^`ut5
zy1Rnu>iv;4vSoowZ7qYsZ8D&{{_6dsziU{)K2PK9G&U$`%Zif=l>wLC?uo%co7k!N
zJEC|=PKYAgzPPI*1MUqIvkr1}fPPxBZ;Wum-%#^`%nE7XjPlUATR;!e)fYnl+vEWY
z*_ReI`qEJKAwg{PI3u`^zop+Q;DgI=vRyU4OF>_{_pS?jnLwW{bdSI-0azs+6BZAV
z0{Sa4yIVY1U?Qk(_DhBkOneFBKS`B>@W<t;e{<QOX6UW8&5#H<mWK%s;HAJI$<cR}
z!U<Ye|8&rKi9=C#uE!ojDHtvcHhR3l4Z0p*$*K}k;L)@@@YYU#L1^cjE@ocX`|!K&
z$#@y)4z(hP{gVPHm*SUt#|IALU%s0Y<=`W;fN%eEX;>n_U-_N-nzUFu+2`b8ChLZ?
zv!e{`@o`x0Nf81W#pb~OdK6)FtG_RATLva?U@zBeMZm%J%U+c+WoUiZ|8(WIED-!8
zt?EePP`XxnI#Uz}2Rtb1#~9?n<It6NeRYyBTI)6Mf06)GkIU>;{!@Uf@jtG5*~ma|
z|DW%Vn$<wMwzKt=vJ$ilg&wVGkOgWGd!l$235FKQ76Vij(6+mxN<J<R_^e$w-wl%?
zY^_I2vK9v$3i^fpe2TCz+?RD(LIW<#5jWme5h1u}bTH_r66}9}3)xXMVWaV?#ApTy
z#w#jPUp!EO&Hj!<5tdru5Gb;ymrj9scLATF<2d+w^Uu7P^bW77L#GH`no!YiRSGHu
zX#2W1>3Xp?Jmb8yvfn`m!qZ51{ac9;nGwVNc}W{6#eQ~cOM1|;_d^f2n>x&t9x$?R
z(}o;e_33~LL--#60RR6CmuEQEZ5YPwP4?cK$9RUl{?}tCN=BlEw?R@WBc)K3S%id!
zB($Rx!gG;OlvNak770mYkJs1xxR3k8bzkTCJI|?9?a-&5WVlm)N5ap>2+o^Sbjc+V
zAUphK!KRlCo;Qn_cbXYOa^MNIP0Dl#e!DB1PNP8A4f~~;=QMa`@^$ybUTcVIMt21t
z3Jm_bY~k8Pfkz8Uu^MqUP+S*lAL2xTb<EKPhqd&9XQ&OWf^DHbEc!q!3k9BO3Adj$
z)&`B!HwgnNJFwfJE?01d47;8eF!%-4z?mcINADRs2)9iQkSf%NC#mPgKYv#Mi4X-n
z)dzMk_EqJ_&`(_`lpXIK(iI1SreT|Q)ea8i9|_4AB0;;xAB%Ihc%YxoQ$FKk2MRXX
zIeibcz}oNl1QTtB$QBlhW}37GMYrL$M_wABXy96Jd%m6Vc~9+@hx={ep8Msz&l9R3
zxaDBzi?Vq}_?7w|gH9U=;Ft~(NKl4j4W09gzU&yVHQdFRYy)`_Mm@H=ilBe4GFamW
zFMbc4t&d5zhS1b^HJiF*z_s}mSDKd~X1nCSWg4NwdZw7|Mu`%T;giSoh+P=1N_^W`
zoavBzlYM~mtO&G_;`=TuiJ<>FUHOww0cIk$7iV8v2V1I(&mL(N!5hcznD=M_Nb=t2
zQhLh;1I(V)Y$~Goibv6WW<3EO8eamp<*<N?LZWxPr6^M3Ut5W}S;1U5-~P6L^F$bj
zvU-=kD5{ROM$-0MLXf=Z#dUWkh~%FI{Uh9>7~_?ASSsBD!dYJD^Zw~2gf1Ac1b+}g
z%2fRJ6EDr7Jx8(nZS7MAO<Uc@;Fbu=->}*v!C?+ptZS-u!@e*|KAqrv8zF+t!(EO|
zo6SJ`^I18;wBL;6sO@+EdWxX=#aW}oVpGt2M|cjA{xO`osjEXaBA9md*xYFjQ`k9W
zF0vf8z$pCSe*Uek2)-}Bo5g(41pd41xM$LJl`%UzZam>5g3pfl@JD<$hFs&1J9+w<
z(KhPB((pMEjJ{{99pPaNrSDnj#XnimtEk}1r?t7&20T!G(rE-=IX`&tcCcel_3ZT=
zZBcx9z4_Rpml60@rr26t=fo|su37hPh~mke`6SwRLpV!>&gA-Vqm*bL`2<xA6GGT>
zydn(Y+&o|9M{Ztx!b0wL{VaxI`h)F}LWaP6vaw6%F(2N)rMeVQAddFR4yS6%3_!jq
zHg<NK0E&J5EBh~20;6VSH|*GE0Pz~D4RvgSSYGY*O+HEz)jI|r<ntQ9lwtD-c~B57
zhVJ%pq)TCfzoO{S3mP<T^C9o97eZkJ$#w=x<Bg4pme=BFFr=BSV0&K}{kb~(?0IF;
zL6X$&vXKTi**KOH3PjLjuQuseh#Yp<gnds{qQRb}LmAI+ilY5Xw~b7H<niHFzev7S
zDqK}J^E4<E!w}KPl|oxZ<ota0YRWJbN}P=DNVbWi*ZyB(Pvn&F+W3UTP#+bB<ax}u
zEK1<1NOpr$EXsICxOgMmXDawA$O&CBmcrc~Zq0mumGR<etjzaODzMk81Z|F!M(G#h
zH-$!3(6Bg}lEzH~%ML@Mq%Sf^^^)5EepD67xeg^V#xw{CDlnMeD2KO|?6<1@Rl}K(
zeI~hKG{{WwXC7>k$9D%JcF-5q5l5XLi#5_9o6LLX6iE@gEx!-7uxet?*r;QSmH|)$
zq$Dk86>;K(okI<$7Cs8-a=w{w06aYfv7=2&NIqPxwu40*&wj}E=g~2Qw0vQ~@jPWr
za7yX7{jH7TQ`g-_TMVJkptKqetKinUCh>zWNw`1V#ep}*2nt=T=c4RXQ6m4<8`oGJ
zOx+gJQ{Z3>O#4hD+QigQ^Pv7q5gA=%UhZSFQ8IzQue&o@2GmeBZE>MJSr^CJHz?Hd
zn1WE(;YW#A)iJP7mGgJ2E<W4wNkfv^4DvTWxRK?efhFa-N8>-}BD}bB|1^_1oHKs%
zo-(R|RWFF<-rKt9yfy9jJ~j(Ty(jWM@Q5aszspN%v(!b(l?IsvPD^Oz|MWF%Koj?d
zh3$0C(81bira>(>D=6x)Fdoy>!ZgQa=Cr#ce0jdOZu_(q7}J}~rgmr{iDnwQB}p5%
zFl2excdqdwx@$|wel6UlN@sa%sD)4R1bJ+n0d9YhEYfq=!Z?SkKRusnU_V**o6!w`
zH*GOS^AcKkeom#ATU;IK3TN6WLjW%>n%urssfiv8+Icl!ReY>j;>9XW2gg6eeSR}d
z6#UioWOKeU){nP(sanvXeI%k~Hcta5(>=cY{-TH_l}wwStoi4`#L^#=U)AyQ_ql=Z
zJLR!yZX_~r?cAx+%~?rA9Vcd+J6@~E;MK|FPs7*V*`qJ2%}-IoWUCZ$c_m4FD4L@Z
zBu|IqR<3FRbXDy4{i&7bCx%x1hR@ec18lhAkowtC1&`!r@zTbG@m?zHeR~E#&*6&!
zKQ<`i^s8H@TN(s0t99OSA{Jm@@}E;THY(xk>m~C2@AxrhgNbarCBT*w%~lN_idb>y
zwbob#4}Oc>lCW-sfa(8C3t3*sqbA$)Noid!w5`e2=h{So$inGC{s~#Ey3>)Pt-*o6
zSWI^>KeU3rw~H%F6dCL%<d=8kv0)BdkM$zI6<8G>d8Kwi3ge9(r#(-yVxdaL*!?x1
z*PWQae_WCnc)oJH23c^z{Itx0CJPYDxx2)BLmWxWTD>jaEV%LYoV$&h1w4|;yYIPG
z3{8zb9=~kKf-1II9&GXE(B#9vfwabtQ^!>=Zt-WqVMn{Zjl*V8`ci4)fSL$W&n3S+
z#9+a5a^H-uIIrz(dU^j9Ghq~Nb<Rq4Va4je#C?wCrVy|ma%Y2u(B|Umas~$*UMuBq
z$Wbzd)uT6*6Ke(0GQY>~;tw{g3O#Dklx_l@SGBzek|4Ifp!hx*Vn?&G=Kq%2O~5A7
zY4-1)bvUyBoi8sZCr*v^9`!$E4CB@2O4_#t@Yu}9?nky<c;t@qDXB#x&=$II_>Y_b
zn$$L454pyTJYtjcwoyjF@qFkLt)3r~n=Ai&E5eI+@BP=y#bN|US}0cpGx^cEpe*8N
zAs_xd?%<k|VhB}avBSOT{Mcl7Da_wZ0LwWVJQrmQ!M8+FRHcd^H{WHiD-jUH^H1N)
zBs?+z{giViwY&mIQDbAzVim$SH=_?6a58|)MLp3k;swyZ;_Aj8E@8}=(iI#Xp~1<V
zJ-5zltV7Z<@u!CrM37wj4K`n(!8Y|6vD!cDkmtju(NM=VzTb7B&Y96*9yGWvhX|s6
zDD@$4ycqJ;2A0{6Q{hTZA0>K85Zx}^yt<=X9J2y@zLphH;og=*-WFGcP>fN~d)`tK
zN7q$yH0+~7Lay&60aszX)SstS_FM}0v&?N1rBI={MvmbiDS}gr3Zqq<WpI6i(;qih
zD%8#T_Sydv!DXfmp$C}ckUFQ}V>dv7m{n)L!^5JOc~?`<zF8hMI)!MjUQ$3YcOyG#
zLJW@yw9b^T>42%jTlM`j3Y7LReQx2Cz-AR@=9in5(CAHuUF1^=?8pm9%LGZR{C?EA
z*GCyYHIE$cucyE}+EtJIBq^K~nNn9eq=KGmUjl9WDZr}!>F~Q>(ircoD6lzI6;-A$
z#w~MGVY$Iu^Np`8{^YE#y!2QNGbKGU101LjmGx_=X;coQ^r{w545;JSWRmo7HWlV>
zB+n-$DWFq)A)}376BQ#ib+;{1p*7Pp?bcOA^jET%Ni)+z?+U%<?GbC-Q9d!<bW#a#
zwI^tO^wq|;(LsYuE(2h5QWWIdt&Aldyu_#DBz!UI7pYTf09R5CslFRkP@0#o<J%f9
zoFz<of({#kiDJE_vDupc)H+NB9Mr{%N9wh!jz+L(a%KN%RW<DX$hMO((ZhFXd5Qf-
z#&D?Ox^OACI*RH<Yklh0L(cu)Y%-=M@WNWDu;Pb0a(i)|tEB6rxZtLZuboXnYBjS|
z{fP!{pgErD4$;S7kGn?x1e<}<sA`T?h$e1IxxC3`hdx@xF{hr+Hiy)rO>Qb;S~&1@
zLhc{4K2ER{?udM00jig7UgW!`h3m~(NvqrRu*9yC!Zm6MpPF@=<2ba@_D=fA<3YN(
z<JC6WPYwdC$F^R%>!gh_HTDlnXgXMVMrNU(6QJgpvU<cmZQNVUU>16=jSA`p#rDwv
zoU}pSaUX5`mlhRn&#Q$)|2?bCUgHI6<=ii4Rc%as>Hpl9tbxSkg*`jX>2NmSd%Ajq
z7W$r>ax*YdLw1)VljA4ope}xBc&mjLrbIRz^P{NX(&sqc@M1dL*N@Ylzo3a?`s2J?
zwUzLrs@)1}EggRL*t@H}(7+6?Z;}JPYq`j-c>6)5L(Hy>y2f60R5-6P<$X;W(Z;QW
z_J|I129IYpd{RUC3A4;p1qnQ3utDGD0v*hEEr$5MQN^d4ljA*;A{cqa(SLOp9VQz(
zxo<yKL77sHyXkU5nB38J=AJ4Ywx0M|nV6}JKRt84Ogr<V-jf3|4+a2s8oRd4hALr_
zkmbr-Np944ICIH317P}Md$G5-BC6#o#cN(>$IDddDr-8xRi}N8!%6bkutb>tUGw4F
zM{L}AdI(@n-oVvxOctMJ7`JGgX2QhE@{hgh1n`G%@1(>^qd?@L0?%v9jFk7lxgpdF
zIEUqW28-8pXBA%XOm~s-ZY<S=T4xD=bC`eqHzAIefB(BXaB-dya3wWiQNR-3CYiB&
zc#Gk6_Dy%zJ(^?eF=onqw$lREiyQTY4T)gl;hQ~b`{x*!rQ$kuOU=RkQfBbLC1Lb6
zFN)*6J;#s`>)kiD)*~JTi4Vx^7s3>k{PeG0^Ned(Jo-F+&EOrAgqQO!K|I;1e4BO8
z0;9c_DdAp?DR}Y4T}}EWfK7R-zMtwA86jkrUKs^bc-SPt?&`^pPHvmcD*cxk&UdOZ
z7;z>*`@t>zXOR~_ZR36rXSK?>`$BTx?cc^AK2D1E>Epq|e>c8EF%ycrpQ8QPZVYAj
z=F8*$aO3G=N)l@mGb)jS45HeMpt5>$GRA}(3)&WU$S<>?Zt<br5%xyVAd{t&_J|8T
zM#@Jg9NF+NYl_R4y0u=gz<Wu5%NmCwE)K-sVMpC0MpzTw5FExN-IX=C&}ce(AWoSR
z)&5GQnl~E2^B57$V@h0Tt<!u`q>Kw!`!kMvY%+kXcL{~*He47zKg!<h!-Gb_dw1%8
zrh)0jco*dqF6?epYP>AZhs{Ibd4CSkKsPQ%kFvmp8;T|U-mdZ^|D~9J4V*NHe6px4
znaYjE&kNd5FbSedV%giTg;YrMiWNI;%Y)*H1~P|)g^<afmYTfglRMrQZ3|H3#jLt>
zy_UwpYx!A0pZ^a9UZe?GuT$c~{`5Tp5g{TN_3XV+!!-)L=W1<acHl?-z^24<hA1}t
z2%M1hpuog7{UE*!0gUYZ6?$1+9KDB9gtG-H5Z%B3m<+2RhFSm6ttyg0HR{uv#&=}s
zXy)0~-!6!SwyhI|bSVr_@UQW@L57th!cDP{g|H~PKeJ&@8VCI>#04YBFr$>U*mPGI
zKc;Iu@pvPPUg^7@c5Weq;pyt!6ICLpZ|=R`3FVP<_#tZnoeaMnr<(Q-ilRga6T58S
zTAu9xy{^E7484zw9317vG2_dk-KAJ1+|T<!RoapaOuh5sjiC~l6Se!f?QLZYI7YGz
zb0xzDokzSozDpuW{p{ty0TpDu;P4ef$<VNv#p4nzjs0achpUy<Q1IGnxz-&r6dx%%
z9J@{yv!mbNb2_Y!yb>2Wr>DqZMY#|b_F4}4PAO@5Hf!KLYrln1cM3eJnK~qTRROc2
zWQufDwXn`5Kl1o%3cPyBM6}c^;(C?5;B_(D_$<LNtJ;SO_xG9T-$x}}PiJT6>n35H
zb-=mj>@;9YY*gIUsEn+^_r!n8>*7(NI|p-HX}~%&BYm<%1xL7knpn8$;fB>~u9FW9
zARyRdb+um=Pr0P;+qhRBJx~9LzWmS-8l06%sH19V>kwCCtx3jBeYRd9uZ<vJ-;mYA
zNp&Q{#&hpalkxC-U3={nV^}|&AQv#MflFDORzwXMS<IGvq#aDb`}=eV<AWwTaGlXM
z?j)n%sd{hed^6~9NR@qbUkl$?zGO9DyMKE&*eij>0#Y_?{mQjh8+SkG8s#`a#@Uwf
zg}}X*a9`u;g^EROyu;Y_m5Yar1#`U4RrOXt2~!f*2qYo9PUvLRdp)erWEY?00C?9^
z;F)=wgwna074HdM%=0N9(Yg*0xFY3tw338PyFx{DcaV_w>_XiYH9FKSu^xSTiG;eL
zW3>h5S}30DoSSxOjXShb6;?V4nIELOhmNUZ`Syc8_7ilt;xswdP^pc*wx%JEPphK!
zYf&dnJ!=q}Z~G|Arj6G!m$lo4l<}ili&3weH8|Xz9DcC&uUgrg3$|`mK&E+Rb*-J&
zKn~YfaaYpBPqD6EZ7-zJf3Sfxu-O{sr{XQDm^AR;u_M_6G2*E6)!Q<TYz@*AOnob_
z)UdUK_M0zX80YizUyCo(VP#(s$vI9HeGb!aQg;d9m9q1mja76w9p$JRXQYCsG<Mf_
z@8d%H4bQ=62k7uiCbDa3NC~a0cpun#v!br*@!Ah!bjbR2bJjIa5qJ4dS}nV;Fj~r$
z<mxH_+Ks~RCOncy`y2J|;xlI%_tUS6-0}iAwg3Cf5gS>Y;U$Z_b^gn^yPCv(^Ctn1
zBQoTJ{z)OZd+EH!%`rxN=Jr*8MFNzIEXF^*mO$f+@7J9jA7U_F-_=&S)e8C_g<W7Y
zilM*cxq}fZ-x#WnE4x%OEWwq=J=ge41drRE-u?LBAmf<DA(yUp3s4D7n8;r9smC_&
z6zgOM8BO;t|2-va0Tmj9){FN9QRmKygiqds3`LvnU01f6Lzw*0tumPcC>Zp)OFQBV
zBmdsToZy>g@b`^5Pq#E5?#Rk<4|n*+c;H7C6r3`Jp=5?+$uDlS_i*gEdg}*+wbklc
z!rDI9vo)z)UFAfR^ij=^M}IOZO-&P8^GzU2-0MJ$CkOty^VDZFca%Yyu;Xf8)5Tx)
z=j*wCvSHBPw3lw&6O6sy{$u`r#^82Ls$i~+74IZZ8`8Ze8F|(twP%`*K;Qk%dCM{u
z)M2#<7IT<loJu{?FJxc@m-`-VS^dI{MV4N&EgSwZzOF=f&)hVG-Oq0KKC)uQy+X&s
zQ})g>&RYkXC`cMY)StVNQZJcMKVtv>mh5@Pcb{a{6KMvZxD@ZX?FbVJeYqei@MV$l
zz{#k1h0g%=ej7B**f3#IM!a)_?Fu7!y%=jjDh)C;$yZv8neg(A<x}DRm~gN*anVnh
z29v+xx1=)@#>R6#OnSnMXFKUSkVl1@*@{~yqM7iPF?F6(iWS4`J0ff}sbIYr9x~R>
zgnw^tY~;&eL*Dg+na3(AAm6HFUPCaWMtr-dj~WMloZN_iH&Wo@Nz#c+EzH;z)HE{M
z$%z8y)ZEseWXN_hJ`@_tf(>_%H_fc|yQi2#(>h0nLR>jmXvT_??!(`Ir10X#e+S(S
zwaM^>aPzE}XT!;zKMTC``B9+x>fg<U`cM;7&-7G@9b=z6JXHI<4#&eDZMe9i2TX4q
zKR&YMz$wE+QpGAl_*we-VAp?oz@~0wMoQ$w3XkJOv4@56MY8z!FYk20GEw-#mp@#%
zqCdIh+$(~Hom#Sw+;pKgNNS+{BoEeX6u$$$VtBer$jq-_2c|Z)AD~kC&~Nj>BRT96
z$X&az<Pxa^aC~MuOi%zTw;we*-ztf39S_O#tLeaE>4~K){DK&_5gx)bY5eduf9k|H
z67)OLALMHbp;nGTMM;w^_U&fNZhA@rw(x<<GGAd_%x;#7T$RU<ooCjE-yngwhjInI
zR0QMP-*c`!R7C3VfpZ~6BnVZeOqa@u;p&ZNTvO9ZsHmaJ$^D81C!3~XT#ChUhiXIm
z`L!NHM7kbl;n#trJ0@-Vn<TMbG&IY!S{02a0*|DJ>p-#6pCOXCGzPXD7Qbzwj@SQe
zG1|(b3&G+?_upHRLH9jnYWLr0V2=6fUGF!#kj{DIUJA<^r?0ymoDb5%PD!~J0}XmG
zmi^fzOhgg87t4%Cgh_}p)tZ}U^x=cmHToQFjnmxK$=206Xy(w-aqKY}nplG~T>O-A
zy3;RhWtSdyvzWLvq*B02{n$Z^92IO*JSD6+t&i&EmRkRkso-uY)KdOI6~hnQv~YV$
z#?ALLBPb7PpheoSyFx}C>r9+f+ICQ|T)NHq%&Y;pUW&e9u|osRk2Fm+{G?#JuI0XC
z{~19pTlJJ~wkEpo-bT!9q+*J}?9=)QV+b#|or|c~!l32cAe96vZhArgF?`7s!~%TM
zb$hh&ZL0v@Pod&t%L8QL&E~M4tN;GnRub-(YnbubLdDb14t*9EwS@O$E9)QR>foEd
zjd#_)P*8yJQLUlN3Iw=hH-wq!VldN4%Myu#f|c<kSnCD8$7>rauIXYcr~DfiQ!;j4
z-2OqDn+~!bALyA)x=2!cnHwyxhonomrD}}}5sB+e3?Ay@05Lb3evpK5GoF=huGYX%
zPdIAfp^KlVSx!AXp@}&U+tZR?TEiG~$e#IUI=E*f+5DZK8Wwgs*7Zx+z{?}2L*4sH
zcwSbie!@~2V_kCvYwc~|wm`RU{2Ohge7jwHV~ac%4n%xC?rsBC?GqjOsaj}R^Ls(`
zj3oMd2?Wf64Sb7W-ae(FiCfC`e)6e{;27zHtC@%m@V^^1@GDZsnXC?_v!#5fT%2w(
z^wt`_imSQ45>`V@JL$pY#)gvDQes<=S;M`!^RHsVRdDi6>GfZM3yh*l)8(^b)*z^A
zru*-s61KWA-fP*7GlIJEv<z?4;i$=%Ie%M4jGM|>eU<i(5zrz3%hQ++rq4L;$41DZ
zTaZw9lzTm~xozQfRXu=&$}-2nL}`3K+8rr$XMl)yij_I<0)SG5!u~HMFpo&RKCv=P
zJe?i>^{R}30fq6=S$#3o_d696pEXWA`>}5KgSS>NHxvsWT7>c66Xu6{iGPUjZB@CH
zKbAmc@k!>*6~vz8)NOW$CyBbmp$jUKmXP?pA~Mr}A2&U>;wdPbBt)O5b^Nfm0O#f3
z_2(~fqlcsLx52PUqF&=*RBDtt#FW-X4z2NsKbTZK{pk;3@OJ^1E6kuPqbwvam=&W}
z#TzPE{}4^*P46!*n!-Ud%Nc496BbS4k`?oBLat1HvxS{0{5<qJVOnaLk!c+N{N3wO
z!drLGo`abtkUeB_?S|ky!*X=#Qf2fAk&xYZ4n~aOa<AT-!uWrT)cadXUm6S(*{40`
zcH0<(%aqrViwFKPeoUTH-!%W7II^wcQbvIh9L@5nmOnbdXuVj{PyO(fm=XC@mc(HM
zac91@4A=i+B*?JDRel&GDn91PuRFBHyNDxlFCGsuv_w_=o~(Q(n9t0=9qls!|7{mt
zu28=*9_wk{ti94p)D(ZTo^&>VXcw7-{Cb0ok@IE(A5waVdtTo<r|W2d6Q`U?b@~|Y
z_G6KKZ{897s-;ZrW;AGPr(tPTH)G<;`d=g4JBgB3vCdu3sK8k=mj7X_lTmP8jIm(Y
zP9$CGv5GUMLh0Y{$wA(2jNG8~!km&;!s)*HV}<7w;JlHVKGOP%vHjs5^{73shy{VP
zB5`X9)CV};v=@5G2=ctBFMGL>sIO_V+tf-1vcy8?Z_YY~h=iGtf>8qz_jW<2)SC<^
zOuVIb=sahrJ(i2fHmoPc&TaH{dZ!Q5FGu#BUti8>@aY;cN<~6>N@Az>q8^+JS6eSi
zJYsxEN^$QCs3n?87QXjr=)ts+X5na8F~jD7BW=mPnrJi*R@U~>g#~6F<L_SijGmdT
zNxa2Xge9+B`Fy$#yiFa}O1+!Gn3)#*v=UWG2=T=vE4Gnf<-wUP@v$+CgGG_+Vrnah
z<%O_UkwPT6%#;;R9os?77*#h7`d1KD&)gn=*{TithZ&zvkH-@}7Oy+G|EnP8Qn;@g
z-qM0*8yJ<b&LDDrTD}gbtRU3dPknNq(S&2Nam;qpxkQ=&&iK!MmBhLc>slFSO?XnX
zg>EHxg9z&yy;R~|MUby+M+FyYz}eT#<Du6I34SI@{kH4R3A?(ThT7~JAeN9a_j+9k
z@r6H4><zVs$PmmMrUj_On3wda!q~fnT+~5relZ3SS{@V_+@=O~@mmEoSsxNLwQH@e
z5Q)tk8}?M0slnCOl-nCNmlCEy!HEh#>xi!*X`ZXMRbg~=b3&WZW5Ty@;#bMm7sOF!
zy;vnVRp^TMr?i`t6Z@{8vaX$LAbK6`<~cG|;F!vKgM}T>h&Q4#y?<L82}hyg>`MYF
zFdn5pC3e4(=sR6Me!9Dv(9qbv@+?IeA_gjW)OD+gtx0{`cF465PHKLa-3654Q?uKz
zxF5B|vUF~ze$gAk#IH5aEkg;ee!eTtJb}dj00030{}h*bJd|%2#*t7W#?084VHRU2
zGmPyys8AG@ERiD8A|WM7N{J!~B}%l1pDk?)C#j?bm5MAyvXdmc-g*CgKF|HfIrlmD
z^}Vj%bL{$Z^9G{g@O6nRiZn>rpQ0L*Tup>qHs&sW(@1D#;Y*EMYS0xoyZx1W4I!DK
zl-L^ofoM5OJNkyB1|(D7+WNIG2u<z9r}g(Y5gnSBOU08_VQy%5;@rVnqJHy6+31U(
z2@A&;?;;<nz@g{Ox~tpjh_<Kt5Ar9Qi6oO1S<iZuLEDclz9!}^;rOoahI3{sab<z|
zjps_r;FBRR#o{y&siz)1e|w^XV08Hj`MD`UMb)o?(#A&Ougcu1lC9r~$#kKsF&7je
z;cry&^2`s!t7TOO=z3iQ$Gf;xq)h>otIox@q&5-4JC3jdbi0YMegXCGECrZe==fBy
z<})$4>zb8`e-BadM!`ZLLLO#5?GWlSXdxK4;yA*seS}a<N2teJIauwp<Yd_QR>I+v
zm*iB&AQA6Q-q_2MgMB8CBG$BZ5KE?$Y-O*H5D}}F*A|_Wg~X378;+m<PAHXdq*$?|
z#8a8>=*NRpAZy+`Kn?05&ae8>Qnzi4=y0y>pt(_Du-dM;=s-8&wlC2!E^3_c+-S5;
z<Rt|Zg1y_Vp7apJ;>lHs4HJZvv#shS3kry}`Q~o5?kD<(in-6XPZJ+s4J^=lNCv$U
zmQsY|5Fz5C>e}frM=al0kS%FO1_eh0w>HWz;%eqfuSbLc7%A%vJ+GDl-DBTdH5*3>
z$&<HmR!j);bCTtMt&@Sm6k4T8<rtB<u>OLOh%h*Qt?Tv}Ai?wRb<_7c#|a3St+{3)
z0&z|(vS<<s<nlJSk1n4ic-v=gZ@eo8*X(&f@JLYnkiN8UV46tXaNN->L>&IRbGY>K
zs5A($PfmDu%n?8I&8AhOB_VJ3`S<jP(lA@9xn(p}06LUc3p$KS!S~dH3D;z4$b8fE
zBz(IN?41f6?EgRlZ{yLBHIdRVIXqYz6f6vT&zc<`8z94yMMG8nQPQ9;Ui<81i3kkP
zOitakl7(#3>5*Sq(r_ZftYdW9A`mI^u&rv8hlG1aS+;G`VD_=5*lkW6_G=$@`;eyu
zNtIuf741pD_0&JpLS70LpJguQ)vJPPTjKDVZW8EXnv8(8G>q(8V$^Y!205POFWFTx
zz&ns5xr!+RWu+pf<MA30tsyS6_y-wmyRx2`TT!6A-Ya@Mivg!s)L&-$QbBRWWKDje
zESOwua%pO1fzUZsn|+RQkWnipt4>h>okQtDTC24{R$u4U<%bF|K42<(rbP*aH%0zR
z`k@2k0ZE@ytCV5Ugay5`T@~aT5(?U`>BF=|aa2jA8mw|Mb+AvNLD}19XP96J!CvlW
zPGTAm7_R?k)I|dhPS9-i?i)di-~y|-Hw^Ge9C|CS&j9Q5{+qUH8AGD#6PFJPY>2PU
zJsw48L4~V&PkAy2X8*l#Ju9FK&i!Toc4)JqM`641=_W1&KI*F7@XP={oqe$YQ9!Q0
zaE+NZq;C5qklbSedykb%uXS4nPxB9b-MCyA>g9igTq`sMVe3M@lO|lKTrHpJ$<qhx
z5qgL-i3ewFJ9cZi^C14?mtm<`15g+E*y}K33Og;1e*bsf0`^)h7`eR45bE7eAAh&e
z6j+gQf++$3hn9)ene-Zh((##1p$aCTXW#Q)?YcEggxEN5b}<6ex~_A_?Kof>vq|#1
zrY$6mslRtWYy^|#;>jXIM)0E0gIX2292R*8X?X+~!K1C&JSUa`Ff(6P700iDCq5+~
z-4`2yWLm!6AWsVn9V$M9-AYK#H!zCaWeAmhy;T8Y8gQXfppsp>5>)lccRnQZ?_+_U
zV{MKiB=)3tCcRk+^>gA`TLksNEb7dIY$GW!)>pb%e`O_{O?R#Pc}@r7@4nviO=gl<
zepl&lIBz8kSrisM8f1gBkmKLHZQWJtz3<Fa-(CTvjw=O?Ocvx=)*qwiEWj&!4hf!{
zT@KW5hl77?q{DKD_B$oLl9(Em`MBA7ISkd@I=3d725062vh6En&|zVtMDH<MAPv|3
zHL6gCF5a2pi|telTblOQ?4=F3H01_OWy^ti>^<4KMe-==nbuY<V*|H$tM~f7mw~Rg
z^(W4TDqzC1=mVa+tRd5@*Y0zbB&a>pNy}ZSh_-fLt~%BO+)T2y+j?FE9$fH^;r^$H
zTE6|w^#p)Ybj4Cf=Xt_2F~aV}3q^Eh`iFduARr`sr}X3YU&M)r$)chB^GnVCUOydg
z1xDuo{)otYAZB!of?tIzV&9Fp_M!qyI5rktG3@rGDpJefOTNA$ZpyVUW_4M>zX)z_
z*2R%3Q+LH;jUENObn$cWZ?*-@@4k`Y7d2U>r+-vJ`-TDz{Cr?+d&C?X!-c=qs|ldo
z^I^&LdlitXcQy6&cQc^<mu>HRX#v(JiWfLJDPS-8=J?^YW)N3yeIle%1i9n<)(HjF
zsPPaKujPU9uZ5+Rsf#dG;I`Nudj(7-%!0jE@nH1&*aA(>C0OcYDHp#}0naaSdiSo$
z6v%m(+_T~&(PUy-RuR9R?c3B?13OG%uI_wbf|nE~Wi={qo>suJ-FFsj6)^=V^?q%~
zZPHk(xB0(_Kt;S&P^>JNZvxg8Pv76%Ov0OLK`uEXinwHv<Ew{mCj5C6?l)g6gS82w
z2+2zLGx0R#%n}n=^h#~3Esu<&8{bD?T&au`UiL|sUU4BWKTaxLm4XXm)^DjMtKgz{
zJrSg2F058Q^z)7|6%Fm(6$&O*P|t^QSkIdagY_-?*ZQg0DO7Vtc~liQh05=>H0Hwl
zvUtZeA7oKjFNp3It%maqFRKhP7sfCCe9J;P%$B>bu44%eXT7!W=gxB=cClEfcd0y@
ze@s|na*c*FR+Xfh-yArZo-y(+PXXz?r{eaYj)t~XDtksb;CX0Anna!=-Ys+@HFT<D
zpU%UVOJ_K+>dLv7p2bR--KNy#nV^CGG|hR66c-9!d^vlgLK%|>8L1XVbflZysO~o4
z!gQOZ=gCGDEc||}Eb%KHy;Ak<Kk@t8(0P^%1FGnLEAp>;ECbi5^{Q%J;6iSbVSMv(
zHOygL?n`Gf@ub)DFwr(H$g*-(ODHrnhq_XWXH1lrJQ@_NZvxY&hmyFrXz1-;dBAuh
z3m1OVT*x_N0&WK_uG*QZ;~9^0E<0OUC|EFjer(bNvhOQur@T~0D=E_6ymgv*w|`mf
z!eCRNypY<LvR(sAZFaSn-P1%*f%m%)kC=kT56_pES~SqH_TRLd5F1ZqbXzMQ<iQVf
zH-{gdbgYY9Yj~E!#t@~lU9OAG;F>{j;F0%q3_PCQneWI(#Sxp^wz+1IvukSX0Kq`f
z*Ue=iE7*9tFL&ufb92Z{j=BHk3IpYjUVXDtg^kB<?D=Q)*&M?6Zq%<FWuQ0V{=?;y
zCI)9+-(wJB0kQ`ho(3*sVodqojtfDWSo-^^e~pMGI3Hy1S?kBd(IT5T$!->2fBEF8
zcDf~8;FbP1jA3GUy2pj9RxG@-ueLE?-U?O^H&ECKOblwaUax<ciAD#czn7<2K||`*
zmb?7#$qE~x?bjK2Ja<>H;*1sOSZ_Ru-b@q@v_J9RLpq)^)_6a*o&ZAdd_ggriGJTG
zXL~9&Fn`l=-nUEwzGfsmb?anc^v#G6n<wg+Pb;}P_l|(2iQ-;=;u**+Cd*FUqv7cs
z+U(#60RmZYl&;FarmP2a#S%4)y61G^-5dd3RsO%4ZqhNY#YphpHdXA4@_)shA|Rn5
zJ$0En9V5-7_B}tOjFiMMo^lrf+*cKWDXALhu+;f^L?QqECf7fxeL{fgbKttqsiSY(
z?BYlv1$@`neeTgo0vvw!Tm9aujt9kiTt%Yfut+DBo3?@gj1l_v=ot;$Bg@jJlx5M$
zw<$?t(h5=!{<0XL)6lZjw0oeBf-~NR`YkzDprDZ|m2pxHDLRGgJ-?CBRBv-nj<pqt
z_yi3QUsdr-`UK;X02$*?FM0Fpt0mZIyFPL)QNb6?55C-0d|osjD=-VOgwStqgPhWo
z@y>joQf)a2-LBOfdMjiJ?`kB(lH-&xJxy;W(wT&RqSEx6QY>J`=FJ1rDLxPSOSgzE
zBBB5C-^VwpT7dT(t=a843g{5t>qG98Mp}`R+NuI`;ARH&R@TYm7di12_RZ2LI8>G#
z#50FVYaRT}=TM`V@I=6%G}fkIUBpW>2=^Q}OW!PqwAGytH_4MwXz*vJn41~s)(W;y
z)ykp>`NO;|Ul+HE9xJ%r%Y$q88MELZi^eZh<-#A4u*~nA`Nt?8RBd@E>f1p@<GPYv
z(QFx<>I_numEpn8$7Zv}r>Qs|aQKhre=?X8@o#lJ-@mj)*q28-Qc+$`H*KFS8P5ed
zK5KC_g^82G)<4v#_||Rh!_)yXe%+?r;WA<Z&t)Dwk&~pNfB2ib-Pb9IwGn=+&YQrq
zQ2kxy5>zbhw4wakL&dWq8LMeFCeScx;<b}TMWa6|I&S=W)yK0obH=z}+ngf%+MbHl
z?tv{$%j7V+wmG@?4i}1iB$pkF<=4OeG8*g2qejUt-P`~!w2uAmG;O4!qwKwBV9M7~
z(ZSX_HWyAQZb`~Al*L=5J6-6ah^ip$_j!y1*(dzAyI+^ZZ<cfGc10>-?Y0kk#B&Y=
z^Jr?yY&opc8>wh6QAXOBUiQ&!4y1*~UrMc#!^V!0(x?d)v>pu`pvQ1vIPrCj_jY+K
zjs+Pzh8pf%tz2?%CkOJ>8@5TQDd5S~HA#X^YS?V>rvLe74s<V1RoCtNKVQ4-tWMFe
z=QPW0z>5RItMgJ6s}*rG^~t#6a&_#T-l9<9&w-thwxP5<CFET)Dm)^nfhI!z(G3SV
z5Y;tj?3tsCgG<IYNj%lSd+`k=WfwWnKF=Hc@0toS>JGN69i=1rX2_-?eqU)TF7&)C
zRmBb?!JV~y{rmf4(cA!^N9$hSyd@H#hC8&4TX33zBbPE4iLKy*cJFfey1#08^F#mJ
zeML-sAWnG^p23A`>rL;H_;r_s*F^vGWFe#ZtAfQ87ZTD7?+U4@<6R{WSL10GHl%#K
z#olfLMs^iz?%Y$ytWOF?1qqs{U!9!w>bnW7+V5W2=%9i6qvgEjg={?kwp_>~&=kgI
zHPbKib-r`iP!4Su8z*7lV8xUvU<9mR7(hq!h`_yq_u1GQEZ`BH#)BiLN{c%B=orSx
zjx*|Fqv)Lzr=D`nV9v8mdB~4}ud2eVn@8B_czMdosoe~|*jn2BY-FIY)9KZBo7vdb
zm>QEDZw?=%UK~v_Wa6KN@0lyEu(5v4N#_D13vdazB>0T4+e=FW{e*yx4_2D(JlAXi
zM_bp>Gb@<*I~{a(KheZfWBFuiq$TVUaIg;k$wWOeQ(m2_iG^G8uS!W<L7d-Dx!EZu
zwzD*qJJ+(X^JBq@V_8-p(YR^vjtM5p?R4l34`QP3xP<*ZDgo@jOE-G8^EuMLUg%61
z19#l|d(1P20J_u6hq*!~j$KNfPTWq%Sv!*GjZXwHT?|*u?qK4O2WN2QS`GZ7m^rJn
z1VAzGp;Vj{pCeBs#>x%Uv20|$^=@^5Yq!^HSn;`XFgUsTjWi8^XfQg(^#DxwpOn;Q
zF>vd=SDM%_RlHD9^3zElAoF_z?P?YseRsmC;s#}`x~Y7ngb833C`UCArsKNk$UhSA
z6me$Nn!z42faLhy@fbf1lr|~k&JD}s^`m`<6Zx_F_p^ib_IwV}$%S2aOy%$kC2&5p
zl;GztwOBoAb)2{nZFsSeiXT119*6l7FmKm>`O!8S)-6v|sar=u1>NqX7*PV2tTk%4
zeWZp&?!d$k1{rte*nK#3%?iZ+R9qaEQo|45r$)k9GWdBQyiMEG3U*AhI!(T+ppCJc
zn(9Up64jx1j9yv-IblZdbFMO)f1mU3DUwD3(_D{5>nx$>b*{m_2qm-<8m{&-lE&%l
zns4X%bN@Bf{nBo$B5HS7GTyaF;Xue-rs)<7$RW*5No`iZW@qk^kegCC6Go}L*KH1S
zA*au)?UlzP(cvSp=cLfl`H1VfUFL9q`@Vzz8FJV?6SLO$k`!9KDVcaZY6i(5Rd?{S
zECyOtbYwo2Lj2UveR0qXyhI&5i*;r3cJI&W$$wI)eneTiet{WmBFrz-vZ&aQ(fazd
zt2CZ-O;PbX%Y#komm43bQZZ-?XX-XeV|urEz^Ez@UU)VunmwlA%0D+W1_=^Mg(<vg
zFExd&0bl($22oIV`q22Y_asbmc2-VsFa>t3@W>qw1%DeJ@VUHS2A`+Cc;xWI1Xy|t
z<7#CnxT4qn@L?S?E?9DN;6SVioW3d?Vk1hy+^7FVd5)3MFSlxJC(8ta+U=I!SxUjv
zcOE?Js-qw;qW;sN1}?nHRI@#&L&47Iki&hYRAfBd|3~Bq7xZbfcQd^y=$f36xjtVO
z1=Y{*30lU5vBA?50aqzloAz;qT$vnhb$zsrI?MsH-m1cD(-dreC0=3pRvv8v>lf@T
z;=u8Fl^o#!DlYqZb6@IT1@sR&6Y%Q*2Rw8Gn{0kiaf9Tc?J5RJSik?g71f>tT|<v5
z<-=w1Pkra!w1djnCs4}Up~ivPNK;Q+IXUc#vPnJlUIk@)f~6w`IUxJ|rB~QnIqcu@
zZLzMh8oo%V*X<lI2D;?|H<vVdjEdJb6Z@iuO_I|UHs6dv;Xl_;A-nlG%Eww!{~`?+
zeP2Vj?J$N2y%h)7xGExX!zHxZM;)u<J|~^&GX{|rKP4^KC}F>kn9Wr!4SXL$BsBap
zhBF1l&;2(l<D$ovSGG-R;8gO1;9_+STy84Kc(_{y$4UvR(@Q$;I-s=g^*Rn*v>7n&
zOy>Lici!eJ(iwQ@#RB91&T=5oNXJ9XM-AKe#yEcVVWJ3S!Mzu)9B2{~aUPsjL#tEU
zK55fgC~)_7gP#c(5`E3$7@0I|_OUoG-oe5dTN39=4j0-Q&KCuktK-vl#kQY`nz&l)
z%UV}C6DY}c5F)jyW5)fHm0fH$e%^bdjGAo%DU0<_Iv>_R`INI-e@fU`b=A8`!O#@4
z7C!qYqd-TG8+Y#gQPaY9#Su;822;?3;3>rtI=V#*8+{Db!UMM(lwb1wf5-jkv-5nO
z<;Pv|dUj0<MUQ{;d9G~+|EvsooEiqo^o7>!EY`yJ%2(zKyUgJD;=UYRb0(^9O>WXS
zuZ1?5Q4N{d=1`ru-Fx#@ChnDZTV=3b3!PE}=T~}Iz=FZZ(#?E*_S2#-82-sdrJ}1t
zhEkTmxlm*yV9LV&yzB*&E^M6IxVNFaitiiWJf!UKWnrq|Q7_`WCid#bE7@<ef@Ez2
zl1?}a`-);)MIZ3*^ZiS9$g~xVJy7lU4rXDf$v3%%hfGx4QWDKNLV%ud)P?KLEc_{R
zPDMSJum86f3bgY5`GBlK7a`BWaA&;~=lyhC1e<tk7yyGzvdH2(CbCVh&NB!N%!+?$
zBVz}kWi4f}cN-H0PhILr5>m$(lS2U$UI0NuSx5c)8MszXbp!E|pId2)uOzkuBy=S|
zw%yD?<7+xvolI3^$cU^j_Xp^qzS;4-nvVVx@Y}SRzmJZUUN<}dE-&U~H1X%9eQdS!
z%|ZoCTjY>YU<=SLqo;XzhX%$La#y$%%Ar?A=J)q>00*&8x1X2rb)G~L^=_l$(^}PU
zTW0xOJ4NB<{-t3`@bS%p1O>g=*9~6f67YJX=FU%MG_<1?a2|h@L36hg?`13qP!4Mu
z{S~8zx4*s<NXjPR@KQA?&$m`!E9~_w=)5WxeyWhO%aX?1_I3q{ZdOoMU8lIhL<PUx
zpLA)gl|plCH|O20mheOOP#yLtVNq*I>0Y`N&gwmKjq|pICY>tB9DeS0eim>`eB)C7
z|8uj(trk$!$_$o1rhuW6m;c6=N@C}wl`2>Hdtwo4_3?4AJZ5h0i@fe8iCrt~V_ttU
z2b*o9LiPLPuvF+?o**HKt;?#G#&0kO753+5>2tCe-rXpX<tvE-t``p^eJ}&Z*xZQU
zFR54?v%zEbi6nZsf5;2pU<S0{$nJD16&uriLR}n|;`t6CwVKa7NO~mG{qryd>D~K(
zJrI;a(a|p#`n`D&(mj9k+8h}lJN7IX43ok%P2tT>J*E&`8!5gsos9Wsa>!q%q)@9?
zWr5v3QxF~{Z>wHTM(W3yFz<8H`0a>JhW0{JaP@n9LsOiL4?^=DZdj0T&sh1v)tM%6
zZttixxmO0;E&R0PCrK!9h4OfOnF*|;-Vc~-k-^ckTl+j~WKiOeoK56=E-X^C$n)!x
z!F%J2ewpWz(R@2z)!xsAK<_7a>iKyraNn4I*%=Bh-=+I<iz*lNcm_6~jL4YjHuUIA
zA{C3zJr3IcjsvNpYfs7_B%@>8!J)=1S)^=ti*1PIK>o~{X8R9h+;n~&qw%pEswB93
zeI+=sbc!~vYE41^8;>6?9OC;B?!>Dl3pfzolfBTtnx7lDiL+Dm6;bqh<HGK@#?U5s
z<9_!>Dk`w{7)8b^;n|d??IStH@LJViW!O9we_ZY=%<fgjPwTats-uiSCwA^s+e2Br
z5k{H5wpkUQg>7pP^fiW4!E3t*PsrhY;oCn#L)EY<*<^{Qi!rRYWFoQ2UmpDm*OnSu
z(omuAx@YWaWAN_qxm&kU0ohlw@|z_2@8j#oI!pd}ow}pL6&{M{Gh8*~`;+gRe$C(-
zKVzt=t2}r*NC~H+BW#naHE{U}iFZ-QjG=r;;>)@eWo#?c7I~0MM=7C$i%%69gGUrE
ze&m@7>J0_net(pK7b}t;>F_!AEgb5`1=Y}}JoH)67A9We4hxHLInc5dCm-HY!`;On
zt8>g)n7<(V?s+~hRwd-zR$E8I9C_bUk`kIYy7tL;!x;`-z*ia#|7e(eOD4bPgC+)U
zNE{go=Ysfi`$2Y*I-V4|*81lZ8(G>rX=ws{KX7&XcgM{dX!}unSDvmGo;X%ek<8yK
ziN_U!WN|u18J8_w`9KS68UjAH*_guPmB&-%@6xfcMDEpux;B<E(=Go^m_o+g17Vfx
z8Tj+Y_&(}xZOn_$D;R#j1HpgVEG}Q)E-r7}?R`cYALV8DD8-n8!od0^8DUIpppB*&
z#%W`cubW1=lR5DG|7MI2GO@cnbWN|bHV#Y%uy-k0z_*q}rSSDERG|1?Sv;hL@qg6x
z$bA+t_$Z?#_&N(ox;0&io?6)YMv1Yi$P(PrY^ze*SSa@0RPs+I8$0dIM8E8`f);g&
z;K^AQO3okou(d=JJAR9i3S<d5F}9VtR!|c&{a4+Hy~;x7^h|>|-w!*)Eo=SJ$HI)S
zld*pLn7Eo9e#}=9ApO7U;PU${JX3N%LRpW2X9Eq*^IZVO^e?YF8OTD#J)d=BK5O8o
z%4!ff#P{vlRIxGv7IM>eb>~K?W0>mQwW1dQdhh)Dvg#-kbDe(g-X~APA;X%}g*N~$
zYOa#`Hpswl5sg@LOcf8z2mJH71#qG}X*_Ht1K*vk+A}+(ge4h=b($^#>^iXVt8)q+
z=Y3Vzr5sVf*ZxyC7oP;!a=CG9Z-WLZrXFL{Kn{EB47#=Xd`YSvTTm*dfy@g69iKQ<
z^#4-4=7<%5u0D$=VWEy|TxKFqY$M~6KfiQ0NCLR~e?FnPhlZ{Nr}ettlJK@ircF-~
z0THcl?S^yJ@bzC;ujUYG>>PJoro|&bX(p*-_^v8i&9Njp)=1&YL7!g*<yOF(|5h$)
zsDcYamGMrEB&u8%oZrK>0(q~6;UkqwNW7U3df*~~cUn=wppeh^kBQTdwkV>G?^#z{
z%Ox0E;Up2FVF_Cm);c!GDIiZLw`#=^alFzy8++h_1<)m5UYYNe!)+mx6Xi?A@sd_U
z*LraaFb)hkeB!+<`t9@Z{{3??y7T<ydXJdH!bF`goljJ(Hrg=rVs0@?&lML9kDEdF
z^gE909}4Ds8+6n-iQ~6A^Jjv4%s_O@go~su1;@ONv#c7$QM#whC%2aeF7KsY(__e}
zl|Q_8W9$;t7^GP90(kHvyx7usNCy8tqY!gG61crjwu!;l|0LdjEANHLpukO|LxX;j
zcwICq{^2fDklgTyv{*(4MgP#>Wh5>|nRL@&^FJnVv8_-hp^k*(dWS2dcT3^@mH&DF
zi7^5FHsAge7fIMMYjo<mx-_Pa&`+~SCh#h4KHL2W2_u)?&Artpjms={Hp$=S0z<FW
z&hHQjMPH8#Paz2tXO}!C*>Yi9!6%?5k?@GChyU%{GPr7Gv&!Z!4p5J_%Z%M6;q?3E
zX+t?=bS~W1<&?kyVHazIGb1GA-kobu$)n)AzYlhpb2w1`O)4RokinVRl8-lQsQ5ns
z0096043~F2)%_dB?Y;NjdmfIx&V7iGghU~fl~Ea$Lgj}-LkoE-Ba$9eO36MqS!pO9
zTUL@yLNf9@|K6|9AJ_N(e7@K9z9#quH&TA+LFN5bjh6-dcsQ!)_{Nej21^x+7Ub!{
zZuZIXMsWeuA3b;Cy0$2O%sl*__J|(XeCPU{T_k`~nI=zL;>EDnE&jEtsvc-n(kiI$
z7DTUWK5fer;<)=#n)K5@L^$nrsKH}H5JMKu2IzZ9qWic;g+><<nlFFplxh${)4-m*
zvy)O7d_ZZ_y@Ci^djA;)+!sc}u3E#VWErG{dywV}i16xnU>SF+2)@kLpI{f2#i<kY
zo0SiUz(Ha!n@JVLwEpPk>UCKhFumuP{*VZj8P6N@v&GQr!FEB{h#czn?hZRzPJ}AE
zhtZX9#qmO<ho;y^c`Q1%Cy#@whjmt?CvsB)^Vz337U~sH=hOY7I9fe87Ab!Avy~JM
z?+ev6FIPmyjz_c^Bt5tsuqQS8zBCH3bm&GGDdEt<*+r!^J=k}^@48F83_kI{%9xm?
zOr1+ie4nT8&92Qj%}5rnGC9>(Ca9n;m+_v1KKkHZk@kdrRTiWD22IC~sG|Ba*2d;>
zeMo^G4T)EBI8q(XW}%~oLu-MW@@EaenC5gbM#*DINOafzSv8dFkd5D#G6do{F{wyL
z0WBIlQX;OZW8h)QME@Q`P;le+)0$O436t<iPIe9S4_-Rg`@je~2S-PaWh-Lr?uhX&
ze+^9eW=>-eZVY?=@!Qa_R>JmQ^NUG$G*H=tuK&$m6OjC;a7S@O33ZQ*(q`V)z#Wap
z7Z!9(VdBCZ%R-PczU*D1q<U*$QE2O2r-&JxuezG9Ii!pMO+ym4tLiw-nge6oW<Y1?
zx<oNjLG9+#^}%lHC=n7HU^!$Cr^@#o8i-Lr>vCPr<B4j>nk%b8_uK;Hx9I=q=BZ#(
zj5_80MO9or@Icuyf&^Nx^^YqQsi5yuzt|Zk6?`HPJnzX3a7lahWP6$l4rLAA9NkvJ
zt7S>;Rfhna!@{xz+*MHImJ5sc4Mp6$W|wJ`34lHkEFWo9P@zBP#y3s{{N?l3hp7o*
zP|j4~_H|`!>`{N$n<$6=Tt~YS#{qs>KXiY)ql7)T&!+fn$e`h)Ow&(40p5p{)A@TS
zp@_k2Y2Oto^hr<tdVCpxLh{gG%~Qm$Oa9&+f)ZHcqww14JHWAM*^xcH3V6zA_q$sG
zqF7b9<?`}904D@j1kfrV@B6YMt$85~6W-rTTLf^TY9<ln<#E>gI;(2A00zi?Z)`gY
zAlj|DzXIftoxegwtA-D?j=!!-w*+_;aMZ&0uq<v@rX2`j;>EV>W7obj0(>Y<E{Ttm
zLB>S0V>8O!$j6*VgcK6!o5b<WkfpJXv{RSX$bqL=qCT>3TR<#-+m_coNlZPmdCaSu
z4SDhlhmV9=0E@mf;Rurisx>U;g}Sribk>tX#XfWRIbEEonkt4ZQ=APfBo>sW`0dP*
z%|UG?N=aT(6xpR|j@TtIV`-8A8*_;noUJFZunY;~<0kczi^9wpnNXCUBwz;rs(mh4
zeI|r;je)1qR+*4s#QlJL(G-4IpPfw15kxmd21PjmX8cs~-`M=D3G~!`i5@Bzz<q47
zN?oDMXz`baM#$3y?kTiSf9~Q(6}Gf125Zdd0oE;QAB};<DT}ly!jDDA!z{+0vY^71
zjmcz7W3ci46_kFC50zT}y>ujv72hy?PCr*;1UJ^(&uy*nVoPvihfX>hhI20y$VNs`
zyxjQ2=?X8t-N|q*s%6K<-RD(Bs|+DoFp;+0h`RS-bQosjL~h0FYDN}@pg9)KZM(yR
z?g>YP3r}!iPjN$2SE~UOGp5|N_{xLBvDJj2HE!IxefeKGHv`xbI+4}=g$Fl+qR7`i
z@u0!U<bS-U^`W<Ho8mjfgX8B;J-PXU7wgyTBwPNc4;H+a68CKJ;0e|t-@-?HNW0Hd
zJV#m|=vr&&#C3R4;`FDb15fyIN|Dc#_*M`8z5Al)L<}#6&NTV&sS`k3<I=x_VR{fj
z)}Ey4<3%ggKXsN9g6I$yzPT=;2Wzd@ogUfo;o)n~R_UaK(TU6L_HU|xrW$HTTXpc^
z%{jDk2^GP+1=g)Dw~6pDr&{6bF@ChC-Ef%sAc{VA{GZbg65&jgVOzYA04jHV?GCXL
zN4t|(PaISxf+ETLg<YQj)}F1nW#1uz{z7ze_B*;@6lXy^^h^*ZPl^^chfCpDWxRmu
zm@fQlrgpU>O9&l<?$l23%b-%n%k0*Vx)68U)Bo*VVSJGZEen5Suqt_8mAyq529}pU
z8kUG4!wcuj3^TH*&SPpb+pY^D-+5zrx<ql-I_V#eZ*tgPa4+%XS6#>pdM?kvEspk<
z;|E$M<Z;(z?tdkJbs;n*iTS#>1eO{+^C+EDz-62DjcRRb-U*eT?nOzA@#f23SXaaw
zA)jtmL=fSmQP`7bdeZotS7~v8Nf{l7&l;6BQ@{7?0a-mS8Kf1lj}Yfq!Be%xDK|9q
zAhZA8tse@q*yy`9S}dxHH-iL1Rf_b0GP-8R{7V*pL|KtL1l5qsI%s%XUmwmT(-w9#
z$>GVi)NV;Sb^L1fJJ`IRnlExqJQ7({-9yc9uJ)<p<}VY$yqg9<F5ozKG(-WnYZqP8
zsD2KYlzbdL4T0WYP`uno5!J=ZE;*`dVqx9sGtGuZz`3TZSHGi(PwHg07c(@GVTQjB
z<&B{`Jz#3IMhVOAKXjh^qKO~HoOi2Bn1JZUP`F93GG4E;x__Zp6RSD&+$AMVA!+vw
zj&^z#yg_ho6Uo=a73GNA)3Rppwy()GBUuH*<(6anv@|h$(!JD7(H#D8T3+m4QbCt@
zWY2{-4gB%k&BsaB0_KU&rc}&S(d6}<+w^sH9R6~5U7Lpl=e5>Ungdnw+$Z1Iz5q28
zcos`xog)Erh^Kbp30340sl8^*u8QAC$s>*K07P|s`piWYwdijBD!Z(Vr(U``aFhV7
zGqvAs=Tk-H_*T0c<BGWSE!;(60l>u~x^(`z3bI*;WD(R9kf>yHc|n>C-;cIYxHVKz
z$eY)3cd#5D)ahwlCy}AsAtr|JiZa>;Z&WLn$l#cg?8`HbWat<)SG)I732o-iR_$An
zMAvZkV1fe~DvYO}4Q(i5*BEb|b-fr`&a7(%nUI0zxU_qykRr-CIor833gamQOnfCq
z2Dx>Ulr04Xe4J}%TE`}cFI2Ykeo%G3XO4_8R+mTC&Vl!gIeh3k$)NJR5};?AYx}mQ
z9PWAkiAVn;4{GZr6<>`3@O@<ZOPU~y>m3bQ)n1%v>?w6EM;~C?%Y^NcfeapuZ}dIl
z!iG!*8*s9h1dr)d^gbp_VR>bBut_g7zUDbBe!+|c_e#wAnqNy`*lB-P$|xhIe{UH6
z{J;VZtnzp&Z;D~cq@WC&9|Nx8yPrWD=HMTYP^aoCiuF3|<|WSb80_1fKjCH$y^cK~
z-6xFy_#Alalt+h=XfKprZU!SuQJ>SIgiugJ*p+NWhY8aDIkCKE&?sf|&PhuUJ3QU~
zKG&wht<*M+fCy8Vd6cbN$|8VbrB!W<o^&{}#z{NdWdhlcg#Sj;@nhpf^Ox5tbl7^&
zS}4KT1PbnoxJ!uh;hg=k3-0^r(SSKkG%?>8npt^6hMajZ%`B(Qm6rh{6)t_(;Wh^K
z%q_R7Lh2qPwMHve7_i^|L-yN?M)2?Ha+7R99$dcYvEKNH5j~j3GyPT!;m*b6rgq@Q
zOAqA_RY@}A^FuM_hQ|%zf7OyDUsJhoWTf+AjW-LL^t>h<nK6Ky$^V-L1}+qgj!Sr1
z!-}@C{q^)=1`s~KH2M80Cr*s#TsP2T$MPGY3zp0JAo4or?R*j^eq`PG8QsQ#@<y75
zHs|%>OPQkc%VbV;_`5l;dX5VV_KLHZaOy+s{s#&lUUA}f((<i0@;tcv*NBdDz8+Ya
z9C8z4=fao=^bLMuyf~7`XWL??2j^0M8JAIY&UsbmT$JU*+6TLtzYY=Mf|Z!twl+7W
zH=oksHsMD(X@&N02}C$#FaD`un;RLgJs@fX2w;nZrhq=xCkX+Ep6)uwgAeZ5ByAT6
zqOp0AzVWy&{LkUe@gQbiOw5q@`t-LD(l8KNjy=$Yhm9e|0sr!%^s7qmBS%CqFzhbH
z-dh)>RTNp{efV&%73(?GaZwa3Uu!zAq6=yNb%}AP@nf*ZmEyG+ab$?&y!LWa2bk0{
zZ9-TD(3>kPC0RofpR7H$d(o!@gU^LUX#WbJJdt$X^|us~i%Nn#PzTZ+)K2NK2w~Qg
zUvJHE8I1l|cB!ab2V@R4r+TUgBOmWEYuhkcynp3bQweqMd0*<?D{m2eB6HC3%NaT3
zORZ<R)1U)Y0%P~xOGMFfXs0RqnmiJeP3m%obwJ(I?x8%FI36LmnNF4{;MIrul}a4C
z;M1RI_4Kj?x?PL<V%(*O%j!lUDSLFm%Uw5HS%9jK@9EEJDu=SVi%lx!=)%y1{@|Y1
z(wNESxxY+H1<hINSKS$j5H@RPFa1gelPdh|qdZkH^O{D63-w;aBgub_Gi1^7-6~Q4
ze`;8|C38erNDq?##%bEe$>EjWktZDY)bUL3z0Um&dNA8YIj$2VkHrK3OsM8+;4%7B
zFCj@E%$3+{T=y%Wu3pprg%nLZw##Ze&YQ|JEpp|V=8D)|*=HoaPYcWXY2to38bVsZ
zHQ|GDN_cN>DO!A5i^>Zp(qi@-!Iyrw7x7eHKWYBqc8H@k+Bdn3XayUC+ZCGB+wICY
z@M`v)aI`k^N2kA>xoQGx|H~d~OHx7BBfFIjduby}tzvg#g(;Z)p4(-mtct%pnvPlj
z(ZaKpM^pR9&0x!tnb+*8Dmv5g{@%4m3j^I=wzINXK*`Nk#oc^rc-l*GsK!MTe-G`9
zH7Jn4m5pXR-9-&`<tMUt@oOMSMQE;55a5A(Hxn^b4R7;_cT(=CVTK+@=lE5se^vx^
z?($H>tSs#hyu&Kk5c4A~mD&rqPM1GbmsZ1@qpNXu{wiV4e$#dTU1YF(vZ;K(nwmrV
zo>=apSH!VB?Bib($S~tmejr0j6&GbgO}jVbu=IV5muV>(*vg7>_g$d&7jL84(qA$-
z^r}<gA(A0m+>wp`nKCkTXObA!B(a0n^WP2Xy#2~d;L}EGF5fP2a5NG_6$!?Xo@ZoO
zeX(iV-k^wm+I&;gw8B^Nw#z2h$UuP7UbYtsC?NY(>i9i=oSu<)jPxV}&yVH?zD#+H
z+%53uCzU^k1x=rhNs*yat%QR_ec#OwD>)dbeL<P<(Rr*7z`fZe{hXUDhTR<Rmd<0r
z!ujhD@~Ha>T&0+bnaUsyk<pu9hY@Rs8Dsd30aE1LZWiy8!WOfAwm!jh=)3+f<4ZF&
zM|!X4hL9wXtirm#!h{C*{&{N7BS?ZIrcq&YduooTyIU8kZBvN;!C9(DEx_Wx$U`rq
zM9@UPEtscsgCh0IWqInEIrvZ{K0v(?(i+D$D?9w5Oi906dbVW-i*0G)$J7Op|Iz7!
zL$T|WLdOH)i4JD)Zs2ukUkyJdJa!<z-L+0Rs>Ir%lxqq$&K08>C;9OBU&iFSH`ghK
zRWzBht0wSCe4Jg<h8MMDpSjuC|Do*itJwPDXaYJ8XM>U~cyLF>@4y+~4azyoTG{AQ
zW8f^<svtb)LZx0;`q8FM3hNm;eiJTZ;Fjx_o0jIpJ2Lls1jDu|{o0`udZ(z|Wq$9V
z?gw^EwY;Tmxp#+RSw1R#cGwX16K5;d%h>RD^0StuG8+6PNjt%{*ASWycoTHqvm${-
zxU#;J7ImuMtka?aB-HK<EDE#Y8c$r{Yc_gx9paPrFf@Qrb8F9Y=`46=M|0BVAOp_+
zDd>_d*N5@S0}J~sSn%{0?*3afjQBI{;EO<_KI~rH|K5zB1wUOlmSLyQj9yvfe@rU%
zKvMks|J-<4(Cl<rz{3_6R65^P^NOqooX_9>U@)ZitEi9%CJ}7-cfJ0f<qjegE*|Hl
zPh`P&m$YOB4LOi<B7sxXj|e@fQ#C#-Ea+3N^80^cT<EaL5PD!!7gi+8qT{ZxqNL?^
z4m&pwHZDG=3}@-WRo@#O?AB~}wEIA^iySZN4ceOiHr0j4%Cfh(6xeY-Jk%z`mJe0j
zw_4{Xbb$MijO}M-4vYwnGYm-NN2lpMJ<{nqaL#^vYTStv*Pdtz`urz=arGHKn|3-t
zBuL*D&Evw24TcbTb0N&EIw(!ctOIk*rD9}u9(>Kk?7EjCjLX6eJ1y@CAUR62{A_>+
z*Z4T;g1khL;ILY@kwpL<tHI~&6kg01C7BNjilbFpl&Akm0%Xay*N9i~Vd6Ji^KWw!
zn6o^!e|jGQin9aumAvD}T@1V{C&#7m!%*D6X{H2d9{X|m(oX^89@+ipa;yvvGc+BD
zB@$qUIN%bjBZNGxTS-T#zFsg;Q2)n>0QFgHLz}5oeR~!oBJ1TaF0e!L>|O#$OPhRu
zvnhfHmN)2DR^^d+N0yWvNq}I-o0a{S#c;+e@YWp@MHF}F9_jg)013TA7F4juRMY6k
z&R3LheLr1?)+zxQ=nLphO-Ul1Q_CTrab^6PH`?asrUU#8OETm-X`B;$dS$~x6&L=g
znX&26f&BA1t#e&6m_@I8W6ymxwCnS|mv)4j<5!aUnmc82)%%Kp?N4>&(zyHW4Hpp@
z1ZH=f`sI)<;ad1ZV@<rWd;ZNxFA>_DPBcn=m&Xk9Q}4!5E&Os7EYs`spi{e_LHw5j
zwq4VsOr6(8qrbMVb1C{@mXLBaf!bdRbX1a_>k`l+?0s>^kO7?V75h2LsEi_9f8U+F
zN<gK~0h4+@BT$Qab6kv81;xU13U0rpo-dbEdUV(r9#%;`N}5%{t$1no|GEiCM>=I^
zUTFfa{F)|sD606NplA=)5s<=b?*C5Q3_w=&L&|A2d{YwHrh1luk~&XFy7A^P(emlT
zAd5Qgc6q^_OHV-IsKs8dAq#NQ;@WpEiaLL@r{+q77Dl=JOn2c27$mK+mX)dFxoU^k
z!iv;B#neiuF9s;F^!&h5r;cG#SBxFa)X|{*c`OHk3<?o~?{8(Q<M%0Dp=?1_tp1kA
zax0e%M+Mp)dCb+(UvQV`MQT1YAAVSsvqpyVD|!LEFV(PXPOU}FO#xkJ+z-7bT7uzu
z|Gb`cRgCfxYZaZ4MWU!f=nXeZi1|XxDl0_orCHLVCficzedTomx348!TO1b{<5oe@
z|5j@}Ld7tGheMLj#S(t~?0()or-bF7k`i?_gz$QVfr6&CCA8Zv<|)2X#G3qw&n7N>
z=o~n@5wt;ui}N;}+hGb=;3+h9`3omj6|GyWRgfX7YqY{lN*-&@-n}R>&5WI1q0?JI
zWH`Yxyr%t07E_#CrAw#j@X2hmL?90t&g{<(4or~2%!J%Z)!W+?UAoEork4PfHkMb^
zFG``pRf$&Xg*D2Z?ARn5X8=KVF(r9^2^{F-{#H%-Ny+x7GxHlH!NpI`E4eMAc&BK^
zVC?lQCHOC+dp92mN+N>Ie`X8ggNH4r0+lBzrTYdFcI+)6HeXS3<-Q=6F88hUTo|Vm
zI`I{SUNQ&f#io4gMt=O#{UlBA_$Y;kaY;<`tr^JK_I^IY%ZEf~hYM3~Ba~X>H}^Lf
z%)o;9QW8>mkXwJ*`0?5ZrRK4}ko6u@h+~=;JnGDa7wosXFDQ>u<Z}6*+Gm=;G)2jv
zVu&4Q=9i~!>Az7P@q7PLoHT~_&T+{LWvp1rxG#_=<U1wib<eAQ6Jrn$vHu@?J2T$1
zNEJx5n4&1;{&;&R-3T6L*sXq+XTsOBeN7*OXDO#B<6gIx4Po(K#n+`O2DGSVnSDR7
zK>0kKRuFW+5F!fETr-6pFCWcI&a?bU85s6^*;s1;>7pwZkyq$YYQK`sEy6E~R*+9_
zs)_-;Gr3(cT}z8Gt&S6a^j0akUiB@7S^6+|`J)!A1T89d9sew`?>7Zc{`!ZW+EX-6
zbDh2ahz31GZ8I-k{6qO+Gb4NFk{-xBlPqr8PlHxNt4@`zo0N_Z*6y}+dT=jeuMf8}
z4Sqa(x!g+aFD3SPd9ZjQ5gzdR^&FC*LEh@UB{~Oau*Bbyg_VT}t679=(>gS0#wCzP
z`<ND)>;JytyQK>O$90>00%>qZEvUPbl^#6`-N_^=U3i&e=37-sg98d`Y-))NxIp$W
zzyDkZE^(c7aZsT}ruP~9+69=fCirlxv9%6-So%HI^okbewp~JBG%(|Z*||gdBLq0}
z*LOzFn+`up*GCFoXGInL<e{?j1o-~rqvjh0dhD-LQ1FXkM-Ii*sXiG3%nunh$*?kD
z!(dLV*>z4V3O}6HeoGq;bF~!Mb1>qN@BNiC@3@iJ=lNKFP78Vl><GcyO!#b@J@lF=
zFV?ONRNZsdf>K;A`yIuMdI!w{)q?o&@$lc9O^uq+e!n^9^&kuSDs@LUbns&iy>i@R
z(1gV0=&Sk1*wB;b3E$NNf*70RT6y$?26T<7nQTgMpi>=<eanUr28xW`bq>;iJR_S_
z-Azv1y;0g;+8~1V5e{cq`87Z|<h|u89S?e#-pcbU6~mlIt$smY)WPeO*!GGvFK+0H
z7fsemV2I~kudGMv(3zyOhuMt}GyHBi&#y?K+D=HV+zoZ$ii|bRe$0>ck&hpJE0)1x
zrRI>uJL=$a@K>KCzaX}GE9VF=$>PkrlfRuS)S>@Lt544ZAuPI4AjoPjkCP?I@mw3~
zFwR`m_I;NK=J0&|PoYu)qnDE2dirUAI>C-to<j^thlkhYjg?R_@}<(qng&F)RGMus
zi=)$4Roeiym;5oiJd|6d37MZ~yj}lDVsG;V9c_pzW|!1nnJ?1<cw3RL$Ss4LYzGrp
zdDZbOOR#~#xHiP3STC^<WYL5ne<r?G1H-H{1N^8tn|W-o=D)*oSg926oP9(KBh0&d
zD-(4<gvLC{h05W#m#?un{MM%Ss(nA%6LcY{lH>2G9tG5#zt`DVNx-kt?ro`sM38Y3
z`(!GngoS%u->V+c!MbjqDys!5r+pC>%=J=6!3zOGeDgYJTkCTClZOG=9{q4E<*o|W
zZMB`%bJfN3XJ=E!ei*{>hr(GSZ&fj}(`;f_nlA3*Z<S-ZN%a%jUvV$`)zJKqGkfM8
zU8HLpj0>dtlJ~vv;?tkiQT9C}&G2DeEP1efyo=i$0#<)!o}%`~k16jAS*EFavT2KW
zzgU26<M@ibg(mJ?KEJp|)WM4^AwjhO5SM@GV|<||&V17d<t7ubb!kF8oRth{O#S6L
zG%?iCGI3Bt3&++ZBgSgTP|7UpbnuNPmT_rVImN1D<SU~RV`}bPP89U3@Y2L8V?wRz
zWfjzriu)qeW(oX+om-bt0~u|t<39x}A~!_7niaExcboAi%O=&4xgy9?)=Canq_0{l
z*;~QTd715qZZ%Z5pQG{cl)`syvDby&t>Bud;EQkRs#tWVd+0!d2=;FOy;Qi%3aWWs
z(!HoX9QGS<?v~+4QP)YPejzK+8kQS<U!sKZzZaF|vN^Eee5|>5rzK<-<<m(BD`KXj
zTdt-71J<x{#&E=0!oa{|k!R=RkzV+rv82)lrTDs$UXq9<xSA>?tPRSdW8;QjL-8CX
z#4Iv%ri2Vn+D2B)tYxsB$8czi)J2Jpc4B;MOooLI<6N6(B=Pe9tiu~5nn`CKIJk^A
z0Z3YM8MIS*k3r&_-RAXCl2=Fj(y4s_44j%#O(=||u9c%ZHB%(t^KU)nDoAjw<P3MR
zsvxdP3)@Y&E|B5{5~_2k_o!HspHcIc4{ughhlNcqky6GVPqZwXgXQ4fo544EaJQ6n
zQT3Ofq=QedNr#A;Lk^eQ{xm60%zu#~qQ$>VqMR2WnzA(m|AEgDEElMpKexn`*7K8;
z;lQ!rcEJ?X>Ua5xnKI#Tniz>i^Pi+ng(CgTY7@A_mG&gni5{yg*w7|mi8R<y79X;0
z49jwfOUJ1G?0?;TzhTP)iOF}eCfUXqSaUOSKK5-<E;*@moxeRtGVR0M`x!<MM(&Cc
z`LIr*YrpJ5vuB2sS2Q`lf5s5}|5+{TH(#Y#bkDRFGfa^RX}@Y5-DL=OPq@xx$Sza<
zExDvR@##BB@eF7F`2quYy!nNurDuV{d$2J->(w_B_xdF%e`W&+&ZOlLl9{2T(0P<d
z*Nu^Ev<o=~PU^!-rAD_E+azVrW_jIC{|L#4Gl8>sNDu5N%k44=<CMz&$qA+FL!<{k
zt-K!X)uZx&T$tzFFeUzOoW5*EKPjt5NIa*J2%JSOzm=c%Q%;p-<t{JvkR0~R=7yUR
zA?oLIHVw6I${neltFzhvk;Zu`AJ^aL!v6sP0RR6Cmw7Z*Z5YKRnWu}(HP3f257#`L
z2SuimR7!-%R8b-lm6XVwp(0X5N=lKWJW41tO%j#qQzB&y)#u-{-gVYK`(0=6-!9`(
z?fYfhUBB}TSA@~U9s>6_oD?<Gfy4H}2Omtd*3V6SpLXr<B5Yif1#Umq2Ei<c{SS1T
z>N~b2iF|DAAZVvlzg)4@2A3P$F<BcM>hqkM3I(>b5mj!gqCIU|Ak=Svw@9?Mp43!t
zTfF5JVS78$QfrqMcsaZ7if*W^A4uDLKk`Wn@w)tVpyeA)=pyD<{2NQ__j6m#$R#xs
z(|gwDO0Q_Z>y!|ZvsrGvtXqQyS9KFnGjRS^GhG8r9U?PL>|^T7I{$g3F`J0;rrmGE
z+|)r%{PEs_ucwLamTM9OS(}LIKDAe48EVj0?RQ(d<r3i*YA8P{-b743X}iGRr3!j~
zIt#iKi-@eJGaW$@O~kTk_pv}BRmkWYjiZm05!9ulF07Kx#N714ueUo@pwCZ0%dhw@
zp||k_+gg?uqM?U7N&5x^J|qTCKB&7-u-~>FLh4I`?Cv_|x<H5E<_;r`=4zrrHp(F`
z^%dc;jZ&uONQbkt%an&bj|lY}6+`Dt+6awv_NS6dXi&M(P{aIQN7OW^YW-2`AS6$B
z3%j$^z$T!L^P2z?0>?kCkJarWHgILFiwU4Y;N^$9#dQsYgpFq1KzKJ{_or*Vw@VrR
z1-5!|#y%$mrWc}RhkJ;L`sA}#rpmC?UHz!t_XTlHC+Ub=)N8`<Waf^_TS}mFOmsu@
zfo7sucwd*c)m!3H2$RAgs{~bPbE=C4F9{#D<%)Oa?+JH~9m$MrMaUNj^C)L+Bc9c%
zK9CRnK<H_nEo3Dr!Zpbp$?Uui;(AbAQQGK7g7e({h~udWu-Dqf^I&Zku_<eVooC)B
zg4WoW5KB^k&4;v<uiEwy&us^{J8b?!Y}v-BUy~ybrBUri#aLbw$4-0C2rdl~3F~;T
zj?2me<kia@8hS&hdnLF{_KXmDzQS>|+j5Y_!j<}T?j7Mc7ESIO93!+YOT4~oA_tsX
z<t4I-55zyA4hwI^uLO5TUDdBVS@5OyMJqLZBq;Y{`<~pGARe&hJO6Bv0dksx0Hl2)
z&MPW@><gYE?wnSmZe5m!mcht@r_Nu9GknZe!{^gPiTSs5GE*AdhIjBOaSRisyOYTo
zk-vzg*8`eFs1$hW*B@B<Izkvq+dpsGGfUV=SKs<lBMD9P+q;jk{70CXeVo>cnkTAc
ze)34IlLR(b51OyjSAuHTxcH)bk(kL;JtOTZ0m1fiD~!(*gk#~*S8Cugar$r50=-fk
zZZ)Z%o~oWAE?sWfS!w^5U^yC0ToM+C*Ew0a&QsHbsjw5;*R#O7nfbV};}jSa{?<e)
z|3&P5C}%u(h80Q=)wSQA5`$QO<)ys5Swdx|=<>%HHfZ&)5PT3I22;@wn)f}MC&ps(
z;?pYFVQ!-aeQ8P*1}}!cj8ytf962NSTw8_<*i1^f>Q9KmaI5_HvoDv40>8=E$Gdre
zS9l#>kQRl{?@tTP*8C-&$^PW;>EZ`J`L%WXUy)%VaK<|94+|(p5xb;?NN}!xt#Zvd
zGPJ)*JFL^j3Qk6o&CG8?uw}w<BEpRf=dKq!U1?{7vsSGecg=~w9+8~~{jA9lqRtm7
z!odNGr}t7~4aK0JgFln9i45IQdA|c=xS)-9lIuf_I8>i`Cao4hh6AtrhewTgp@={K
zR7I2&aC7;7ifttWTMtK%E(m~<sFJkJSy?ccEG9)ei9+Uw;4kV9Bv>&>Khkwj9{L*B
z839QQ1~hHPJC%gtm_(p6$x0DEsXpyum7stGU;dR6buz^Gof1g1PzG0K_?w-P;vm7j
zj?E%a3@*y1YDxvsATBIh<`hUmwKrt+4~T<_M$=RCdInIBk-IWZOT(LzpPtn7Qc&@;
zw&9M68eDb#+uyDx2LfKUqa&fRaPIThm)H6=AZhf!--c82;7G81F>#QGqG+cdCt9^&
zs-Y}SL_`S=O6*j;zN`RTQl0MAS~`$Yc5dPKZ7M`QbN{)vNeS-c_79b3>Vj>h=@pq~
z2Ar*}oR27>LJoINbj}156py;(4IWg7&Jb?PiA!{lbacD1gQ^dz%ujwh-)aGqTz&IK
zrV5;YEORzf#{gKU<ZxRHU0~hkOyfvWgT4bIvm2KUVAD2U_M@|UKq-2)*6ol694VL}
z@dp~hr9O9?u2Dk}Ivji^SzHS?c1gP#2N*)dd}C1ST2lySJL29ps0HJj=e(Q84B%P6
zK^&VN0ed$eTa<{=hH^WLzLIzPa3@+!AzjS^u7sYtnL4QrJ|_D1W5#-LR@FDAwAd2<
z@ipGLqof0WKP=rVm(+#h{2cAFGgk0pF0JQ?v<?(BUi%b~t_4yX!i-O`ZGh1zKTFLw
z+Q3ci=hTQ&g=31vK_l%OAU@{b^pt}(usB_G=Sx+FjQ~<Wt-nGuoH@4EaP7{l;IRZP
zaM;#(-*mSuIA%W$E{w2-y8D_MQOcS?PmWRTHWLBU>MS_{Z)^BdTuiPXRfD)*p70EJ
zHb@OsXSX6*1NVSql6{~GyeFRXqV_w2r(xdb<An`Cmz-*Bdr1Rrrew3T*FwFbB4e;>
zVLdqQ&CqfYSB8BViB+)&IWYU}+d&W8^{^N+vdjolfcD=p@onn`G5_X2N4*PHP@xe-
zc3;iEIit}nie<uRZg8eSc)${--b9WD=1PE;jy#bfDvI<Oa{qocOZY<HkP<vh2K7x|
zGlh@Du)oBZ_ePuryk(BEhR2XVD@%4XrJjP~^8Q-q{{z?<%q~t0b3?w%c7CnR;>ctA
zw+FWYa2~T==X886$do@mx+_5(lL%6qV?F`?BcA)+6MhrkzMH)k&xvDR$27z7hB<UE
z8UD`e`9?4m*~2sUies?m=!3TnX22;op8iq1k%&*f{+O&Hj$@D(De}V<UOoC;F~B}h
z&(@;#J?<+7HL2VG>8Y8*pw81ecb4h;tt@WwFK$sVm2rV3<){geR?3Qr*9-Mk9!;5s
z5fqdYgy)5w#^CHyCV2P#-+H=!wV1UF1=-JbuW0BR!||4&zrvZU`0Wy~by!jG#KpUx
zR11xOeuPE-`+;>xYfiI2ZA-yF-cS3VQ;a}oscKK<I!>H&;$SfSDA*fKdf|M@5I&T$
z5_|S>Bjrj-8*4rVgBEkc_b3>G#7clZ_hnw>eSM#nKDDZUk)D%%-vEYzLHc%+ACG?F
z*HYLij_R(={ud4g(6R4{hx%qgT=*J%qH;hS4+<<yyqnYq>%4DPp#%wqUbA*_9hX4H
zj)mo}Y<*xCX}L&e2%+(CXk3%7B(?|M_|s~m56&_fZ?*^sqZ}<$*@sOEQ&c*97FqP+
z?@(fW?yNAXpWBdVHYtURm#SSZKGTB?<K-OBei6)`JFItpQX0Q3_EY{P>4A4}!?D{h
z$at_y#?^yO7EKtto~L^1!JzSvN~jXW+*^_X4iq_TaQpG{v6&uJY9#e#-4et9!arLa
zs*%I#OG*)Il=UD!Hzxn%O$rvr-j(a{lE)(d%iP~Y^+4w~h4$yJIKGV4+2=2;fYvds
z>p4X9!1?alrOXBi^cUk%5^7VxVw#!Lw3HsaoIeyZ(=Uky&7bypB`RXzj@C*u9X+tG
zYgHz*NaMoIkf;&|B{YuDRf%)agQF7(`>&|Wpix*!-MFAK?$55W+!Ut=58Y#ackY$N
zAnx3&Z(b`StyCadWYq`9x}d^FCpj$Lq%rm)i;C$d{`}MB*M~z9_1AKL$>AAB<Bw`5
z8g3K`>>T#jhkh&X*nn(#4AgBqwuzOFqnB^i(|h#6yZ=bvq_F~y6!^>!-Js)2_v4c-
zwgzB$VaJBDK?StW-El9`n1TD>oZD^MX#k3ud@y`M5nJTlMsyxA(7GV*Op%u%$UCG&
zUzbwCbo6A_%c$Uq&5@!{{u#og_@6z`DwS}7cBoL>Pi6H#%94ItVgxli#g``uW!&y~
zdb%$~1(lwi)acq_4Bp+bKWZA3QTyV^nZyhgtaiQhQ-;q34g@I3-qxdH$n0!bXRr$H
zP8s;t(`W)6p(dZ)E>V$kzVxV~vI>UOs2kpjGKICFj4vm?QIW|}dr`WQfo@)T4w@Qf
zFqd{DkC#TnGpW0_W{5E`-L?05=X*1N!!NHpIMVP2ZBqXF4m#G-_XYAsn1g}EdEP}g
z8pcgmtki_jFng=|-8@bL!d@2swQ;6l2>FDGe>fFiwH^}7i6`K`{*^K|EgDAHd3-V7
zql|}R>;GN&MZl%(j~kQbsQ73!cJZXX6805&n2#s|jMiUv>$y(F3n$u#-?J(rCnd~-
z#|j{=U{-O5DHW+DoJ*{&^7yOq_3ni2099P?XT?_i`P%9ybv#QBUA<b0qdfr1c;8h<
zGL=#Fo>%yhE*U(!#^kJv8^Fb2Gi%LDO1OTEsXU%0h1<RVJgRjBxWW12pY$(96jOe@
zZ~lk`@?3PzNzn&Lui7zbVX25-@s@Pw(-idi<>}KU3ZQYvY4}2t0xBlRl|M#Nd?7F!
zO8rE@`P*apzk22I=CWL)q!t+uIM)k)I!(ZpdY@kclJZEbk5Z}X5yqoOYKMPF6CmOk
z73S?DhntFb%KMZGVMz%06|V|&cpk=o!N5lrvjrrck5rIw=5@q<5o2>GBK5jj^UB~$
zuV){`{}aUfT=JJ|>&@Vd?vJ~)Mk%~)8J@7&UJwWMfw$Mf3<e_F#iLUskzPX5nXDAR
z%+GZRw;N2sf0Ko{+W`q&kPJ&GmlDA5a~86GU<w~6>t4Eei(~9&x7LI0{P?r)*saB<
zCcr)>T$6B+f;2IO<UddO(cgE?ytcUs@P~f-`yfLMH-FjQpFY8lPAqN0jZcjM^@^XG
zc8cO5uC+6hjsjTCUQ@fl!WeG#@U6E{5=B#kCmA7M1aMn)o3&w+5%Am|bGwyJM&hCO
z4gM{Hs67$6iFcC`@W)F<8;Ox|DezJJrY1ogaMymQ+-C?s<=isPKM=t!Rp0hWZ6;x6
z=o8ydeul8iI@m@%Km@fWo2LA}k?_~2mmSGV2Jk0uZ%;l`1l1mYD)P+{!Z{P3hS+oi
zs8!oxzFSlT$LB7diQguSPnXXW@v9qv>?H-8VLlNY*v<dn5hW2!q4)}&Zr2CDo!|N%
zN{Ha2?xA;U*vJ?UF7eDzeR%#d*~!mT1O;hHBGg$j7P1fji;~fYZV#jA#KR&eB9W3a
zGb@UDQT{<SoqDjw_VdN2IuYFebGbT+oq}N;dzLoG>p_`&hGM$}8SA5%_r)3FNO`rz
z_TC0PXi)i!yOPM*7WO;!$!-Zutk&~&;n9P~`#eSUNTRqu{vB6hp(LId*j4!WJrmsW
z1j}eQMRA;^GW_s@6go!!(mryB30K8*@ZVN3>`?vgW#%D+r=9jjh$b_Er^-exo<zZg
zWuorL8(Ab3+Kq1rV}hE#0AI`(3Z|3wtyJ#FVe<uL-@ATHXm@|<cj37>HuG65_eaR1
z@T>hld3~8sZH<?AKa{{5zqs;Q?G$jR_svQ1gG@N-f1udDP7>_{Y0^n@is<o5?NQEY
zCRlcAIu&(G;p~uMfatO!)(;H%Z@j?-69d>BGB1sX&%?WscS@MCH$8InEfa#y6=WS|
z$l~#%Rfpa_P)3<8I~WqHeUyCv-|A<`;qmbmNsm-27B&=lNBZbNA^*dq+CDj)<#|^g
z?L$M4igfwIt9{YQxb%y3S{^^ec>2H4qT|t4{$&d-eV}JqhtM<?aNam%+s<h^npIm0
zjFqqU^6pPun?EYxXWh;EfAbmWdA)CrdsSp_tM`q|=M+(JusTK4PzAG!`p&MrH2~Hu
z(SZ-zt9=&mehoZS!Qttgr`abB!I*Aucm0hLHk(k=;>1+(Tz`y<k-ic1Mfyo@J*14W
zj<r^aE~>b0so_igoDt;k-`TFfN=1LkOJ`gHRWX^pF8ySkF*wZYQJ80_ST1(*+0|{T
zsCmCvXKTC()P+=JlrK<mlEELMBBF{{Df_vuIh(@2_m0xt+i6%;@QC`gNCiJgsLaPn
zm_goLz&fd`G<0LAys+R@K~|xk9%CQOz^9*elW#W-<3GpLDgp!l6BwAQNHvE&g?-}7
z<21bI-7?7QL`P8%1NsV+0P_zKHg%&k+&l2QY}%BDrl(HN*fbMRwkF`CYBLS*3iSNP
z%16aiB~<H@2Z*<y*>F6WhWkuP5(1i)Q1-grf#IzHjmJ)_q#M!jt>|>^$52JQY`<Kj
z6bVoweKmNYjf!Sr`2pq<3iw-GIA}vUfZ=$m&}&;NZhLzvS@)S79#FOX>yZagoxZrO
zwNe>fvZr0sM`cjq-ic%5mjMcDFCHG^Rz@GUJV|FCDYTsJ>nKSE*stZX-D8^)KCL)s
z`GH#kf4H~%7lZ+j>gw69WhtUknc)l8FJgFW*KG09s?L(NZsYu&3b^5Xx9!I7WaJ2N
z`L@IW`0TTJe4I@I_diP(nA8-(=&b<-?LSw0u=QOuVJwfOPrjQQlnY^ML+0bf)m|tq
zY4H1aNDedZJ>zWHOTq=gvHk751SGWlkqp@_ixH9Eo_DS0p^hHe>tKpG=sj%?9vhOz
zrB`Yny}t6J{z*QO=iKHX`9AAS*)b_REWKZqErSnb*5)~foi+n|k8K9|R7n)58?RWG
z&5QqjY8C(bZ3<xzN(%mri(~t;I?KgL9_%^J78(+43I>Jxg(1%==n*M?jU}B2h1h$$
ze~y@dux#%RiHBmS{mWkJO9T&A>&P)SxtTy=?ZW+AjiM;|;_^yBJ`d{Y9$+`@HHMM+
zuC?K-zPL1r{ft`X!G{})E3F)jfl)9ud0c~x$pbBBwTZlFNRn7T`O*k-^YR_y6GgE6
zeDD2q8$K)u(c;dxH3HwIHRm;0MDSpk+;4pie)PH%x$$0`A<VMfcl@3rjFM(<vH2zf
zxaQR<n~1H3P#_}fMAa9@W8TxEHTr@$;#AmbHfR7FMlsxQP6!9Sm;YP-EQs8y`W&_g
z3_$EJof_RLgyIu7&vWOI(3QtP_A`qCP-T-Ax7G-u3r+sb1wSEtV{GqgcS#>IKc`Jo
z9}A(+PAS6^R>HXUgCk3izCPHk@vuGED}+&H<HKK8?_EHKUAd`mmCp}(vEFA9#-Kyp
zwsUG^+{0<Bd^}bU^c8Mdq*)51T50kQJ`+*w^8TW{MOzOB5(}=~zbK3vO3AxYc8TFf
zyY%2&V@#mh+&%e`RRqmEecgu6Q}A4i$;0JqOn9&)Ve{dn$ZF3uRvqXR$Ln*Y4o~+n
z!9k;;IYEew&(bg7j8&Gz$K9s1<2p=W6m84wen`fVoikUqrmXVMite*kb|x6;Ki+gD
zL=>;vxpoY5$zZ@u&-+_ObiwfG;-`0}VrV;GC_kSgixZpPeZp2<7?o2z<s(JG2Far3
zm0UU0EIG>f@I)8R?(07xDj<&U1`muMJ0gz{evj@8daMf}RSq{xL?kd_;p@+bE(+-T
zU+n?M7rG!f;ptGWCW#4MGeKo0ipcPxPkMgTh0y+Oo#(epA@yfV;S@~?oo?E6Caht?
zE5W}1{L`heG{`Xck(e@8dL{Oh>M=o^^T$=GkE>kN_$;KAlZr2gr}-{KGU5F(e@v5*
z!;Onpy}pZ7beUWy&C$VxL*=~;%XT^Z8Gb<Ca+rqO!wgyqboF2tzn$i{IC<pXG}oB&
zf{q7#t!a&AdN8#y_B1yrAd{up{MTg$MvTZF%hJ^cr5;J8z7++uEWU1+<Dr71?QiY+
zS2<xsLAb;8ks_YWzb3n$M->xoD&J2<7(hBbKd<eu5^lY%a62Yf6;o~G>`HVEfoYJ?
z-Ah%*#l)+VPr1~vmffak<BB0H1`0mj)uW8OkCir7IH_Sh>D%nlE+e?It?IbmVJhm-
zmDnPK)R5$H#?_$Q81z+Vsp4yCcu;)*B4xW8@{V+ed`~ffIX6$%ho@**n$0g?&8LRk
zn!8;?51E2!y`9y-HyXO{-aY&?O%=CWuOkyqW{@Mno|$Vx$1{6>#L_>j;LX1?Z1Gfc
zAVr;&3phl_{Oneji+>m>;-UUE=7%|0*r#jTCepEJ&}zhQl8zMTLg%a-1ngNJBTvN9
zF+KWK;@K)1HfF}`>RaXf_E3iAGfz4u8-%C%xv%bk@pz|4egHcASk4K{(2*f>iuKB*
z60U623NO6^Kv%GHT6jXku&dteyMq<+MUchMp+<mB9=iq{Eotb?von2RLLNUCJ@Kav
z0E|5Bl)G6@#iPF`1NZEg!v}R)q4&mCbK5quMr|z>XP8YYo<F7WN@-+>>JUI?k$0w_
z^{W5AHk`GZl9=S~yXJBizy`m)7geH^ka92U&}=>hYqT#<SltIWls}oer&tkBYo)Z<
z+lb=XwG8D;=T~>Z8Rm}R76lxexm+QwA%Y>IjH8mPyJKCTim&fidHgT5a7b~x5T+;!
zgxRh7P^58}cN4cfo>a8%@2D5VE#A==Xsra$YOXEc(vZW$hXjRudihaud16zVH39F+
z`g6Bb%HUI;4O_ky@*-=ih%V!?IavO-6yT&t<G#~2QnAC_nB7>S{ZGXlcuvJlQZpoR
zvFdq_Whxg&3TiWYa?Id9xu_ylQ3BVfB>XGS<-{vnymZ9Zn!zvrM%9203hwFo@LK;L
z2eOs=6>uFi1>@FqRozT6+_|xKd+}WkG!l2*SI}nyAC4tjeGC)D=Bpi=o+TV8t8r_k
z*xCek`^g@BA4<mauMUUi^>d(~@TPgJG6qkIw2eWE2>OR_4vMtqM7Ou`ze8!pu-=VZ
z^iiWQ-h1=tBJU6<Y8-gk$;dN;s}}OoL!!cHEHXUkb(0IbDwIzcix|Q5d-sn#aY8uW
z5T_S<ksJRIN}<!Kh9GPAPw5EH>hopVb&1<NSh9_+HA%n_JjTYCY;Tj0L9f5gGQ^7-
zH}6l_T`+*J&rMxxd`Y;p-81W)AwNo~B!uskG=PU)a`RLAB)r+?>{xe40P9s{U+|ae
zgVe3O4GdWl_Se39DS1s0$3q4=;*IoS{cu3jeQ6Rt>|Iz)I8H)|zu)AzyY%4A(7o{=
z+9Y)Pt$X6zJ|X1u?se)9(gTNDk?Y&tNciD(TvC~rFeW`=ZCcN#2a%uaKSy37p-w7A
zd*=ZWgtZltmmV-7?%lx=w(lfti8N@rl1Rn?m7Xr9Hxs_~@2-06EQCdel|?mbMRB?_
z^YIDMRjw{*y%yOngc$)JI-jqIq5c)K$f<5!IG;}%(%3DG`K_IXq^;uk-^G7#)@JDf
ztJZGIfxp7|)3f;4gC`Q$%a^a<?5PU{-S@^XREgkFL5>T<ObUhV&-xu_>VlNdg}(tO
z$v9uu@wBE}8f`icx*G`TLTsY7e#9P83|_I4-xno|M^|FG?Ur=l&(-g1x}C+)y<*Mi
z_dGe&e-ZUQc~S@7z8KnmbQc9H2vc39v#Wh!{$gVCyAF`Z*WPXo7ss7*(^a=36mW02
zWw`He9mwULGp65=SncIXhZC!O_%}zUaz$7d)>u5BI{8%+r`>iW>4qs`YS&Z6Ml)U5
zDQ(eRL`b8T*VclOC}kY_8vn5Us4m1EzHD*2L<Y-TJvS<^a<s)SJ_p6;y09f_YEPGd
z96tHuNc>pk)9PKnh*~)&9A1BU$C_R_j7dA1ot;5PueHDK?M-LG@QV3)zC3w!qv!5;
zmcqcqAt|RvWIYfud(*KiKmq^Mgs(Xet%7RFmp`%J(Ss$cr;la~74a)2;rkC)RXn<V
zfULbsA3g}LlZ@qD)qNztR!UM0V`p1`ToyL~RNkxRxVjg5xi*&iJyFBK*%=?62?I!+
zYZ)}nQ^pTnQ4f@i)Nz-Df^haK7riUmku$uLir3%U&b^CQ$Fm&bs)>({Al=I0L@GB8
zeb2e`<y=?Cgo9Swf*u%y|9eX@pE4T$r||A}`0Dxnfq#j`N)r&=yr1*99vxd6H#}I@
zRLA*8y9X>PO~I&6&qSz{j_2yg$#J=>I$x`fyuNJ)zk@>L@BXD@+esy_E3Z`XNY0b_
z**tS-JTb`aq0d17W%7G%RKd6JTx7?N6Hse07S-**z)_F5(DYLbym`*eu3$9})$b(<
zWUcOvdD51PAWBE(Gi95+D1dDo?{k$&3=9rQRn3W~V%p5w$mrGlPgEFDSyN9(ylbSO
z_gM*rpM}bfuK?V;x38nvo{qa>*gm_dD&o$q?Kc#ZEMTqm0p*jAXqYXzaXqohCp4w<
z2vK7T_=xFttvoc$o#1GGo+yhpJ1uM06BdxRqdCminu<a_he5(g3IjI#Y20O6fV@U|
z(Uk+rm=V5a^s|jP_Jx&>)l06vpS^nS?-?aL|JIV;7cGh&@yRD-<^jSq1chZX6)}9i
zWQepRjHJHag-b607;J+E`|}j=e*gdg|Njh^cQn>*7{~2BA3O80w`bVvxe!8yq!6V-
zsbnTaDWM@FWK<eRDOqWX-xZ;dtjt~|B2f}TqSv4Ib?$SWbDwjc@8|Q~Z{J!h^->u9
zSc3j?Tm<k@tT87QkdfKh_(IEFL3Drd=$?iXKyrBUME89Kycr)AQ0dQyh0Y@Rg=_$4
z0-3|uBjmBw<!N?BB{!b)xm@@moB^yCmELsUl*O{x5&!3joLG5AI6J$~61*SGGFN_<
z#_MM%N~U|*(K>wj#|;xpxcIDRi@C)*biO4<KcCHpO_6iFFLEp(YyH3`jfaw0f9Vc?
z(hF9Utt{!>v0x7Bt64N}I|)4SZqC8glofUD=K2b@nFIM~dpXmh7zQOV70t4<qJ3|N
z<FO}ZkUn3=dgrw$j@;TrIxEJCrR$VVC9gAsvePLoyPk@md|J>x8(&u3qt&0c|CA~G
zzE3~h(@4Tu&C$$^Ay%Xru1tkZn7~xIYF*&0FmeypPl;V%!`sUHTmHJ6fX_+<r<H{;
z?kb^ex#Yu+2j7%|ZKE-~e&Uq9t3U{+s?V#8Y~{d@Bf}oCrpEB4q`s_5SqMpNJriFK
zaiXxDdRR}T5tOLa2yZzhh|RR|fqeyBXzw%sAXLu?LfwK0w+R7co_NVV_nRAcB{f$?
zmK(w?8zOaYoB%$U>;2Iiz>A?b84J9IhOpAQkL!km0N!A~6R`4&56xLkE_tB=gpQg!
zZ?h0UiJsB^-m3ygxlR3%>TCddr6my}-U3+G*C47+6+#w)7xo`V^x@bTnSP^iZT{Qg
zSD%tFww=`=ojIWo1|H$Dtm1<Bt|7I#Rh5KMV&ws~GWuZBU#NevOc4D)3-`~MilE-K
zSLD!3I@tHgaql%2!saaJ_nUT$;^`q@e)AwYX!`m})|Lq2?>p=0^H;=>|G+m*3wb)&
z6nC%m>kDIL+%1B6LL9Fjy8K{U9}R5zr`~t93!`97E%n?+NnEyjEhLajgZow<nIBJ)
zuycyt<YJ=~IzMZpF7KwnILG5O8(R@nH2!h%*LG=i4BW-vOsBz#^Y8iH<V2BcA>l{}
zvn&b{ay!ihX%Lm-l(vsg47FLTY@+Jr@cGikKbrGYVEMWFu1`=L6CAxIgq;<z_`KSy
z#4#$g*UNCvs!QOzlXDs8Hjr^5UFMs|C>1n&A`VS%mqa0R%j?CP6w#8mMz3y~3K>sB
zgFCNDA$MTQ^XooJ_)W{cbCH_{L=jj0nT2(jyy#FxKB|nZDy<po^=ZIiNo&s7Cxfpy
zc3t<+QNhhyS-cm6Y0#XVc-C}E7I&&Q_x!6>McUTDcl&GC<_%4n=JE2V8Wm;QF|LM!
zS`CID73fgv6y7_YrGV|dsWCGG8b~VkmN}P0ht~%2I@aN2yfdY!enU?a9}S$*@=?`?
z#Noi|40lD`?d0>=XuTG8bg$RpY0-xxo!9w#%#_et^2|FkJ8f*8t~l{F(E$8pdD@ed
zl(E{{#@SC-2Y;>$5OVi4gu=ra%+=f~7!wzLuXRob(^7W|Ua>NQyCO#aO?^|r*D5pF
zhL?2l=qn$~S_@-XrS@bR)T?5RUAk!CvMwGk_!~OyXaa3d#PV%Z)G$%o@O`nC9`avN
z+rG`;6eg*+B@*q`QLI;Y*-2UtGqrDNik~wB3Fgm7;hQ=t&F|@OXwb!Q1N)dg56r=+
zd!1`Xs0J3j&~+G4)x~z{cYdX97I6CCHph{E4cu*=C_T;4!K+_&a_2`aVd8sOUa6cW
zF2(R!pB2$Y$4%5G=?MmePWmPqS!m+-@3|tc?r5S6w}-0E0f5cF`CJp|npl<1A@-PE
z13e_4xO%h$WQqAbZDG>H%K-r|KN+jx%;VarLS-u$6z%steOm)#g$|jW+N^>nU;LQ&
z^S6RnDRA&r(!gsUZf+^ss)P@N{)>BY$qM969SP?X>geiH{ms#njNOkVeisy5!DFEf
z2BuHc@Gz*(_IJvmph8Mq?*l8~ZytKm^<EWU8_qs`rXY<92XkYd+^_<kE;ZZjLn`Rt
zVdHqJR05wK=;@a`y|$-{_Qa}38JFC`G>XrQVkEcbq`_7z@V4IQD^#z9S>5d!AD#>2
z>q@&pJ83I8(f?kN>z*PCkSgSJE(+j`im!4`9{_v0pEy?<8RHpOB?>%v@Y%@mNaqxQ
z_fP!z0*@(RgY(jqUpEI<Ju4pYu>>$Rznaw5C5N@k7P@`&thjC_Uv#3I0Z~KW$eZ5C
z;F4*3|3n!xZV~m=Vo_%R*`ea8e&0GIpYV6i8UIHZzv!0V8D$AO^|$kGW|P9kHuY*r
zzZK%c;H}|-CJWHhV-K`-k-$a&+=7nB%f$Kd>nc+c7LYk~_;P!V7#eC^vFWM%L%2DP
zh?E4H!?;j)X6GhR{2`VhnHThj&{-_+o2)Sd{=a=gu}mVk`$W&*qc{E#=Cylfti{Y=
zf1tYB>G#4Yp{o6{*=Ct|n@Y=)2{DBe$xdfQT7@vD{QNnR!(ZZ8^aOi-n+bg4jVg9*
z6hvNlXV83eg*c?sTD_lY0%{E%H-~5fh<6i4%ozU&@BN;rmtzd+MQs~I2l?<=TD^XL
zG7~1|BzWqv8bg{I(|x8Fytp)EF36qDjC*Ug`A3BrL1kv@z_U&s9M4ws4SmLfy{9(b
zksLFGH&%!I56keN^vja5-LtIN*;L~oyVDR3hId{&n#GM?)(7*o*0Uo+b+tKjzyK_N
z_Xh8?<VFr7#p$;D99aJ>G(K&I0sI$v{5*-ojjHY%DI=O(81U!WPnBVPh|M{;HCvDy
zx4%$KKU2qzbvt&n1s~K0{}(I~dkna-t9kF7aRe`VNwgZI{-MK?B99I=jvHBfuOI(z
z#gCdVtE);<=)kUBtVEjUM#FrY;~#Vc@nN)o%#s=%5=9hh{gQd`&jb4<>pUT>7P<4F
zypaY1$`1p29eJ_c^CQ*ukudVVS7?zuxR&#|BAtFZe3;mBc}LPG5{9M4ZBG!Rfh%i?
zmx}>EzF+OB4p$Jxo7Y7OJsPRt8e?#XyjK8&U4^VJM~Y!%t3n6+Nh&0@rG3eJB8YUZ
zZL-m$;;6Ox`zpzT3bQA@ZVu-Pp<R>Gm7;@^c){R$u{0YM8oG*Qb{!H%yTGywas2CW
zXZ)aYR~H3DUz<7nbR%KAf<w7mi!@f5|54(6K!MJ<6>xMF!Jax7H<cn;l-b=#$xoxe
zW=deTs=p{cG4!&lxGs-BA3Pm>5K954IhGcaG%@5TJ7j%pKmqGk+HP-+roi1VY!}qJ
z#IaRkx%>4T85Nc=?Q=W@rnXu5M(9eS-I*;en`D(x{z;Z>LmmbEGGT8-z7&4s+;z>s
zO&O^vq;Kb%C_uh8d(2Qz8f$(o1<Yrv;7|2EKf76};Bs=~?7?mseDcfu@1{?xIFNO~
zY0p+FEPRjOxbc!4@@k3e>(JDZO{V0+^m8iE_HDasN>jkq`4ZQQi5f`8(zCiIG&thB
zUu;x`jCHxEp1SsF;>TwkFYdR~z_|LKv!bFR21k}=nUJ;7;a-JXX&fEmOkzxaDJ$Wn
z???YMd+MN?RpB!s7kx<1Q~LcvOBwHQ1#<cx)5Y^61tugD12BJO+~P=A!OJSN_6?DG
zsPlCpSINQ<nn~=cFN{?2$4sUoml6d9ZAvXGy^O&7BzIksz8Vf18>h@2rXY*S4WES+
zW8mP(XUkJo$E?%4&gSP*aPc4cY3F+r7?WUj_GHn(U)(Q_I$Wn<JrB#HXBuYEdB{h2
zs7V9gF7T20j#2OeVg0TCj5%a(+E;BBtcl)CK1_jX6uiIr@yQQ^77(DZw6Xq|CTi)5
zn1QPv9wNK<Noz2mzA-AvXOkAPO1-(YysU#wmfS~_r~n(Y4x5c0*Fw_7zJz&qZM@SQ
z&T2pa1fA&a3y;#mMYf2yP6ss6+1ZhsFtvileQk~R*Z8fecy;f+HBOq43RF+uT;ofI
zn{oF?O*~+uam@ao3YJh498G^%K|*Jn!l;ub9$DgEy;7ir_RwM7qG$~sVZ3krFKXbU
z&SSe)?Z{YBe#y?v(i+@VRh%q})Nvy9u<4sQSzIUDyY+^ZHDt^b(LHXcA>`Zk73D~w
z#^ho0H(hJUSBd3tIjM@9XDZYWul?UwW1;a6xUAu>_IX|&M-@~#Xk|j362{t-(Yt#)
ztl)MGwakZG8GkRXtA2EVA77;~4~HdNf$yGIp|9%{F-<#wQ8C1cwhjkfA}p=oRdVAg
zdJGxeJTnwcsjOI&;ysf-4zQtTi&Lwq0v^>K7*{D<CC<HUGo&T~oIkkNVu)Q1&0j@K
zd!1P%7Vlj8?5YK@@-gC;b-6UoZH`t;d^$_$whUa;&0xTXp`rl2<5Jj7w%5~8`AN8k
zD&Nd#vxHM}!!=3!Brt}XyjO}bNod{?dHRaS5|ktO){h+*!{&3bnZf_Y2}hrLC0z##
zSSmApRrp8*pR&~J$5@RKfBZHrzq?=#zVZcy29hMKG>!t!`Y*(9?uQfZ?Pj2*F7lI+
zFNDUbzH{1+V?;Z(<g3<Ne@RJd{d(iJ0IHnN?mBvVoG{hlNle{u3ZE4+&#$`hVUiX-
zA^rXYvF%CN)4XaEc>edBlAa9@dhN~5erh^J%-w&U;Ui)Kuj}^4`bKeKzUJ~JR^w@c
z`}Z!_*TKf%C73suJjH<tvvRdt?PrM9&}prA?M7gEE#Ps{Rd&32Vxb~WVwNZu%1Yd2
zXasrT|LjXovtjAr(>sxz^Tc}>rB?r&hEOv8uchk>D;^(Xz7r|3K>SyDXxBRdL-_FZ
zZAttH3pP5PaUC;RBC;GKza*VD0NuX|xyL+M@N2|1@sr1w3FX)pa>}AUJSZn3h~La;
z9#=P~)3ZW6YwSyH4c7;Kcm3rT)y(+hq@(&#H6{$?Aop9%(&1C|?so>anbDP{EVDJ7
z8DAFNV|<TX>myd~*-jPAXw}vm@TG$V16-c*cdgRkPS@$;6GO~cI{h$p)P@bquSZI(
zT%f@%Z>6Vqv{*1l;f<kjD?3*0p?gG2)8Kf}hK_&PEcozBTzGmACl1~ff9O|E1=;+(
zc@ZU6thV6m8qwrNnd@Rhy$)3PyDjBNQ!6VLaGp}%&dG}v`Q<16j<4nLDGj>IWj0*B
zp`oyugC9=|EFNV`qQH!YP%r%iJKld@#lBNZ5I;v>PSBxKp#Rd!@AU~BC^#7-s9Gb0
zmd}d?6JP2<Tjyn&o28tX{@OYsepwg?z6QC2x*qgH{Dr%JxX`m<OJ(;K5!^R+=%L?L
zUFdjNmc(|D2P2Z<m2QJ54%lT%ElTSG)ONGxGV`I~o*LJRt>XAh;N7s^eI1y1!x%n;
z{Fo?uks8G+iCd$u_Cz`AfW~X~InjH9_}e&Pe`=Q$HXWGybaGi6u52!`-}6ZbFX<&c
z7;cnCPrVp31Js5?xoKB2SV{OV>ZS|%qbz#={W~>uMH}RFE>-+sh@g*)gY0_&1q|YQ
zOO{B{hL0P(4T&sKOjIpsePBgK?;H0T`mSlil+}w=OKx!-Fg!OzKc|SQO5I`c&DvnH
zLB}sHM*@TYwd~~ktb|%w^9M%O=|Jsr#Q6YQDNI*r+`E3wx38Apd#{qN17Yc#uZ0Rp
z<2SaR7S$G2^kG_@>DSkVPE+;Nhf6ZpCinRZ?>2R;?P_!C=hTCP_2X4}O!CMPmt><n
zsew*~`bMH$6j1%+w(i>{1>7E7v)L*^3(5atF77F&fLy@>5mQdaP`ezdo3c8XC^Q?Q
zcYq2G%N|vx1B!SgLxWLsUl-5h>F$o+NP`D+xrg)kl(A3Lt}2g2!IGwyw-v5*xN@XF
zWy5+EG&aCJbF~zlHNSjd=W%`DqQsWW#;BrADf8DwH!89}7(Lh5U;w<S;~#x0)DT67
z|Ee`pF*#9r@Eg?#^kkS0xD2Y}{oC_gC`H51KjH-9o*TpZd0UOgvl^HkB^qsQMniu>
z@=1uNDb&sG7;atTly3A_9|?6D?)~IC=E-3W;`}q)!rQg*V#lo}yFn^S`~7{__1FTu
z6V6m+#A{<rL0tfC3l&3EuAP0ilL7sazuy#c>fn)2><_8Q6uj-klwTMHU>?E_Ms7OT
zJ2d(Jle`{oLXyQ*iWOL2=oN_Fqk~>SdUwX_v~ipgS?09Hg+jyHnMRrpGB%fxLM7IC
z7iGM$&fOY<vSPwt)NA8Alf3p125RV+sUDa3+!~JW4VyVDp^cO=wYh#{WjvmInHXBJ
z1{dCruKP4CJgzV~DQZT>53>{DL-IB-*T1r}Oj;9P9~=)O-IKwcMUz`B6>Wgo!RqF%
z0d;ig?ut$`lt7Og;)&c`Ht>jfS~@XG4X4K1UD`}Z$X1XaNquh(D)$Nb+Eo<{sn=kR
z&Emy{f2$4BDb|qrCC4N-QW^PDzS$a&vLch7rIneHH6$PNir@295$8UYORuc;k(Iya
zhHJa6fT`{ITaq^!rC6qY1v!2ap_5NScO0;S(&pUP`sMQYT;Rv#=4<~EZ+8D&(p?6)
zc{p$WO1%s|1tFu3q1!|!^S}6K=K(k`<ebm`BZXxPS;%#=gYi?j%l3-|K>g(<n(7V-
z<mcLYB!&GGW7Dh1jg-v{SZ>X>Go28{PNUW3U*AU=NB-$XWrSG5{?yVH_B$jz^LZ}c
zdVHMm<z>_~J;wr4NP|~wFAE_#>a%6*)(M94u|vCC8_c0IN;g?}A3qvV&-~&|o?vLQ
zTU>v<WCkr7+LKdEJeYGn*QcoeE2GP-$%I?q4D3WNUnI?O;Dp3xF5#$g#<_tb*GnTz
zq3aIcSfUvl8b!stym93VW9#CeZR8r)@{h}>R&_ArIgj?=b%7&{Lx!pRWG)l<dE={b
z!0vxUp&e6+8~ZRLuW+z9(90Okl^Aud7A_OtUYB&0@czeGj^$S7sWgJXfY;ia_bd_*
zpWhB}UhZWy&1}~r1dPD#4%M(Td7jAl+c+vV*U6BS{;}u~VhFlSzum9M%o18`sfK<+
ztqgXS-kFdd15g@$V6=~IhUg!$GB8c7W8D6pKl2X^VDI@bmJ>&R5L!hn&wK7yGKi(j
z`KB^`NdI?<=UezB@d@V!q5?x0XXZEFzpkhcAL9wTy+6JZAA$^A+&jvM58JrLd~)d!
zwnf?Necu>ygjFM?KoSYD4Lqa~5jseD?=7uW{X#4q-RR0a-$c{~U9AvEr-4+D_oU3*
z5#pe@kK?oKcSOm_OB3}XG$=o}!nVEcGr@G#H{<BJE+XE9kpG%Pg;Nc0B2-p~iN7aj
zw^L1ei4fzs`+LY#SRE-GICgB9aE@IL4jmsL0*R1pnYI4nU*R$zpgT<H6OEzVc|*k2
zuxnvV<`j7JF#R^S<S=oesJvc?HcVVxIks!=svdC7tDXp7J3Db18s;dC5Ej1=l7BSl
z0&4QovyTrGcF(HAPO5()3`P7*Tjq7(#pDwsqaVYBk|kHXo834;f7D@jP)i5$3n>?S
zl0Fmp#iC3f;wFfWhY|_p0ou^BgZBOYmJ#Cahsi?e(Mdvh^XZk?J6hmImffChJxYuU
z^E>Sc`9b8Atk%5zt_g2t6NjX{zYqfS`cR$hpTu*LnbvL-O~~HS-{pLBj2KNLsily9
z5&HD>z)cr4z;nwsmG44diO<?!e#w^363fG(!^b|U!@ha18ME>U;<kcH@6VulqT%|$
z$dH*j^o6`Jl|4O4FchWug10RYo}H@^$FHdYrKq!l_w09~*de3X_s|j{DHpfil|>C`
zNBH6u8mEbv(_SKfs+Nfh)VvSDL8@?6JyIl@JVPu8JCi32R*BrH6CzXpsQ?pq<k`y8
zzldv`+mBZqXF|)d($+CI6}W1cM9$!tBTgGLQ>0dyk;HExo$^i@vP9Yk3m(oBZ~naT
z8oAB7mb*v#<Xx3vvawpd{^A1BW2e4@e2g7S?7lTk^(le%gQ$m)wM00RQm@)Zb0W)x
zhM)I7B^bJpR{N!UnP3WX4AHFMM*YIyku!f4!OXaAW@XbVaiTp<R8oNtU7{}*IA2kO
zgVX66<!6}irOt@zo3{e^hvF|}4T>=GIgjlHD+?;{JohtP^96g1+*?0QhRkFUy`p=p
zSY)(xZA&Z()iwAWIPZ}`bpFgOn;3R<$}1{Fdr?$*n~n(~WH2cVDtZyaiHcilHW*om
zBjeJh16;Ob;L><Me6gGxe-^U0r0tc&pC%GK&o#)fz9u5%lnfuX{Av(*TDuNykCXQp
zlgSW=V*iyi2w=jP%BhQ6WO3}ka==|(GUOIdD^~WcdH64>es5s~^saoA(dteHrMgu6
zv@jA1RE|e8a>-b;SGQ5-DjEDO?SE70qWFpTodwle2|tE79vfm+g!I#z<+ifoxRc=8
z{)JBk-%x_R%(4{Wr?P6YJzWydJc>3qUsA<ohc;F>PbKIL{kiOZbRBm26bJoa*TA%D
zUKSg7WvD5UI=c8x1`oy8&L~o}P<^kFu3Ux+eBR8T`94J+BlrE1oC(vxlG^INH!^C_
zSFEO>MJ3}NeuCWIsE2GRJ*TSvs>6c9WagC$MU1JRFghtj#n<%3{o5_H;E-Nc(+N9e
zv`q?W4KbnN26@2^;a_!tr)t62cuED$cg5`Q*h)v>IHj}_M}Z8l3D3AZHMHp?*UoO!
zM}<Yb?Jk>W!2anoi<+AT>U&>n5}+C2DY-=t0XKa(5`QP<J*yV-Uh>p>)MJ3ryMwH*
zrWwMuefix|h1$3@FPc@WZ-|3(qHpI{jNx%XM^v(^E;<bMNtT%#V*6xt6-SC0>^tDN
zYio=iew<XSO&vDCtzB)y!Mc_(V;^U*;7CCd<?RD@X#@OpIe${X55O|!36oAG1#81z
zmOG8p@%D^~*50*VJi6nGwb6G9S|3*(%G^l9TA#;}MYYyYxM6*S!U6^N`#SUN@uc9G
zEz^15N*my5>l4&^OF;=2g9<i#Z8WY)3aJWR59USgN%UX}?lNIY$WBtj;|*J1X8m3d
zF`wHkk_bIqor+tXdZvgveB56TGHgNqaG`Ony)GIQj$6nI%iw(VNr~^9Z6Vj+qPcI)
zqt-{8XU;f^U{%3qL4Pe<;M~*NPdTfJMG0XIQ*Sud-uJLC_P_P8VYEV6!B-tiydHNn
z$^RnWSgHm8IlLbBafwdcQ&2_8a=j?l*IkUR+HCft6E>jSr_U79r-Z#O=|(ReEig{n
zJZrw`ZUbyJb=fnSWK1;Bk-lNU3d7Miu9mEM)Ry#Q>EJp!45ruqi5=vE7}d&2Z8>WY
z-Ken?nY0c^Ckt;nE%3pt+2H}jcq^b1k&R-P#8J;<`2y>EL16usI!vDiSXk=O5g#OB
zS-O|Ui2)&K{Pj(5+802)<^3t6K>=+3y6P3TUl;~`r6<&?7{GQcWy{?RE_Cl3>$&nk
z7!)#ZtlW5H2`iq@4>JB^!7VMd&-!YGfoJ_}%a;ZV=nJ+~y5YA>oWGk+N?W^sx2un)
zIcg5(+ZQ}y#C{RIJJ067I4ca@?nTV|1<k?f9!<+5e1wqmrT9j92*YC;8|nqSH4pLn
z&X^l|Ni+zYdlaTF4C`fdjpNUmLg{1QUy)xs7?N*U;&!bH!9?(WbKh<gsHLCLrml=K
zehjXw@cbwQN9?S@PQwHylL5Z8O*3wFX~`SE69Ng({Hl|Q#!xgbQ}+DL9OHy|lj{3+
zA+Q>{U=lWI1SeHD#s`@!G3sn8R~*KKAXcmW-JR`5K(QSacX3!@%p6$UCNC@uA-l)7
z)ioPJ(<^h~-~=Z4^YL$E#1>)r7!f{tV!a^<p58d7WX}T9=Pex-?h8Z8H`2xjuMEJ@
z{fwl=3@fN-b|^JTlR!j}mCM-40GgGxs<SV!!>gvVk~4)QXx~J-BH5=8dR_q^PD^ou
z<F$Jq#O+1kr(W=(9S8Nnt6;&kv49KS3K;DyVG)HvW?PCJyFOe61Ey!XJaE_BAV{rG
z6fB3bDpPOM!G(+T)tcZ1?!s4ctgpr3hfJ-^&y92#Esos(-IE^@4j8Lor#Nuzk;%NY
zOoP{jRD&rNK@cM<j6N?)K;~x_t^Nuc^nRLnL)s+-bJqC@-%O=|x1*T^AvE~c&un(h
zUKk=Cmx(*)u7koT=D%BwXmGn-fgR0BK$-jZ-(gW1h-~P*Si?z!4xhu?JRkxVD<-tK
z5?K&Z=XhuInF>&&Sv#^t6try4I-T7u4{hb)L06lo5ECkYGBr{RLKq(@mva@smpAa@
zz*8z@Rg3v6mxzO;O-{nrG%`%@!bRpMRN&U3mL|+eKuC_0lSif^IPMJGW?WB&dvsB{
zhl>=rW;@-zTBroSI30$oho~?!edyyHu@26$=bXArD1*waF0&yX8cYuzmGH2U0abRt
zn%I%GeD_%_TiHMZ7xtq90t2$}%+V+K6u%nCRrTvfU!g&*@Gnc5GxFf?U#;S7stz-`
zN8(GE=+ORS%qrr#0vN}-pCbG<;C}!B0RR6Cmv=aqUl_(^&+NT7U+Zgc?`<~-;TI7~
zg{V-`QVAt0L<^~`6qW3X-d9nPNJb(=NXlv`5kG&PbDirs&v~A6J@@B!8TY%=bW|VB
zb4goLPRe853&GZ>Ni=-a<>2k&H2|~NGu`!J3UFIb1p4P`;KRvk*W-^2kalE9>6*79
zu50B>R~Bg^n&m(bbBrNAe|mlTucH#|mQ#g=(zS4v&!dBVlM(iIiL$sGD5F7dQw(jh
zHn?Z2Joh*n<6;wsHNT_^(l(90cmAafvljkbeJ2wXmpHX5{!u~ylla;pA05<}4O)0?
zGldMbu#fMBDxP@keA=6!1BaV$6RQ)<aC17<Trf@zPdV0p-V~;T_Q4aZdJoK@k?-2D
zR#hEq)CO}MICaqSJmPN7fCVlDhfaUFr;cg<ZOsf@v{Cw!<-H)A72;*Co5l*$VEJ;L
zPTO`ZeE#<NqrM`6;?qa%Og7Qrq0q`;uB-{pTYATvg@L>E9;byOR_Yb<eXV2x4YL>5
z-p@J<oZR}!UUw@ELR^a-?o(=*lw{Xf`VL4My%PDNLW4WUehUX4Roop-96s$}4X3;R
zWllU*$C&T)K}J4hEEnc?WhPidGkRNqp|Lvp{5>5uvM8cU+GO<LeQT(L^Y79rH4p@g
zLDhmB_D)-0w`s7(TPH5FxGGh=*!wStX_X9qr4yTnSN3J^k4QE)t6-tV(#6(F0xvcm
zANpKojhL<T=8jFuC@RP+SywLt&U)MC&8gO~<9NdJtXc`Xex|Pyxhx3IZ40ZC{H<}O
zIZJaiOA-GpWfC)9@WE}U%YQ(@8Y4NhbipGE_|_FCVNt@3_jfr$Dn0-uqaNAVERW%<
zwRvvw?D#O<noOhsx{AtOuPo)j@a*MrOFkA@9(wK^Z2=funm7EoQ3eNo{(2K;$B2z_
zPZcCv2-Jkv_8f*3rcausL<=yWBD*HJM}k28jXk?f)=J>w**^*2I~R#h^Jmy2f>!$2
z>=SW6TnyPB7k!)#{w0JgXFSTvEwR_^yyxbJB2aqWc*<n@524cZCu@np5<7lHcs^DV
z24}+QS6?On5X=FRr~F(ka5TW-{K;}b`2Nkl?(*q3LB?Gyy^w1TrS^>j<vRpG54JiT
zqV<P(WyN?*@sAnyasO*=Hsi;gg{X*=qko81-YF0FxS7H5ndt65T|QJ+-J{9<ohNGc
zxsI3JGsT*H2BUuIt8sWQ`^cd00`cZ<cAyxaDRvQ=oa8DV*i7EKY03DHkoEoVNX-Eg
z*gA?Sw-<Ba`Nh~HZbM5%Y8~5j?w~Q;?{_a8KF^7~FG&{~4l!W!{#4#!XJe>;y+3}Z
zkOOh1?BcqatDxq^&>ce=VdF`^(|cywQO2&yknx5Q0^iv6j~N@mT0+#AIgA~}_ljbD
zq?l3f@T~1ynIRHt{0zng*&)18t(q6Zg7NE2d%E=u(RTeJ^S~GzQg4{IOa5X-^6v$1
zr)mS_UF7PU8)k#%y+gfoaqP&B`Z^T|12k(7CtYM^$F9#mRXQ~|F-A#WGHcaG(gxYM
za94IX=@2DlQ(WlyFQWNJfIi*|$y;0?*^v}p!}h6_2aa!ERy_Wrhv4w)ATM_goaDQD
zd7+gTj~S;VUS8Bgv30F%Bo`-4e!n5d{_w%984cbhdYCK_Gwc7%2?eE_e>9~9kly%=
z=gCK1>|j6NIXupV2RaJJK6wfvkteLoHANR8Oe`XTygcw&7npoIUkGPeE1P5NbP<%S
zvl>3DVYboIM3GAbzfD+}8yIw9l9_xedL@s%&v#GGB#A;!kcFqZfsS~A2<l%2A2#5z
zY_76666e%)7}Mz3*&iL3eVHE~_bvn#e~^HEd?#z@PC5>J3Ewr4B7iQ7g)G+xQdp#3
zS$Epg@xUmy@IsCt0v?~LOwE_UMu~PS(CN_8O^Zux5W;#Y>1(`?91hNxZ0b;<BYJ4~
zYCNL|6v|Yeh3=Qf7KzJ=T{JqvS$q%cdy9f~Ywcu3wgQG6uXB}K(otM<(O<kt3=iu@
zPT%QJ1mCt4--Q4=o^^iSb8Mponm63b;ucfJg~`D0TQ1RYI6YNi(=SPA97}SU4N}3L
zI^*`dK{`65?Jlc5kcRS4J=I)F6^c`Q)A?4qcseyzJ{~WN7LT@$Xc=|Pn58?KRO+H?
z`kD3aYB`kt{mNT?lm=&(xkzbyJ@B0P(4k)?k7Hvt_K{s0kZ^cjIWVn<R*B<|i?s^q
zr#EXKkk<mAA=}40Rr+X64(AAJQUtTg3pHymZEQ|q;8D#qfP-?aQh1LNBsRCnDunC6
z>GkmwrkRG=OWb%KIHrvG?N-iuI&{1a9gKfdX@mm)iizGS74+0OtnW>xqlu8Sx-(&n
z(%ZjNpM6t>)fzu3&zE!rWNj-@GBibJeZi~fUNt1#b>+5MdH?dE(RVVbW-xnUXFc{n
z9hL)i=}awjoGtwL`PWZ#WE^sJd>uxEYtm7euEbY)8GED9#}W^}<VCWvXn^)CquEfB
zj@!4q<0Kwip+9;}`sjWQWOtR;kbkt{GVEgZh8f7W|FCerS_9OeyKnb4EnJom>uSgW
zRP=lO{F*c%cH1+w@|XrLv)RQ@s#wE4LdcX}w6b2mQ6X`&IzG-!7#_Q7jV#93PFLJD
zP;xG*<1U*jw$PJ(3x8On>|(XcTni1M`mUG5t}1~|-q+}<z70&8uGsDrrNMsNkJ1B*
z3P>m)K$y1;TBXV*&#&kdtGfK%;c!{h1#86b-eCh3Mtz!#z8cJ~Uj1^aT>?FyM6A+Q
z&J&9M>vr&~;v-Ev*gH-H#TVm7x0~3&eLlrtxknjy8VQekR|O!rz3B8bvkinq+TUzW
zQ$n{of3v#vYRuslL+Dd$_`a@J-D9l?*?&*}wVAOa|45<&+kR{Gj+{D@J1vi+7pHA=
zWtpHKZW{Yo${K@q#9-b{Ik0vI4GFjWBYZd|)~S<#!YIp|Gc__W41BU(e{qg@_i$`3
zdCN*Yci+djgA@$T9(E*e%@Pc{+*)Bj2pl<Cc<uO4aojkj>`vN$CGPtvoYSHa*j`ha
z^s-SD$=L@tw8V}Q;~ue!XSP~_M}NKP(>h^f^;ue4-5nxII_LX^vn;`$#1*SFAP9~*
zGtcAG0|cQtcXQ^Q1@8E3-px=IKtqUqU#D(Ak@IS#y<5xzcIzg#zQ4+c8{~-gmfU{g
z^1EFnmVV|a?uz?QBzQI6l!`TRbq*5u9!T`>C^Ey-i#{<YzHs5y>KivpDu;-|ENk7+
z-=_FD86B~sf&<Kn9Ioe9j}Y~1u2HV*P4W7<|Hh{cY{*M&GL7vXBRn?VXXnf}fvcmi
zxw{A}v`^eiTl)2dNUzICj9q1d082o$zlxA+s$@Phc7%~E_CAxus-m8q*8+`UooD~#
zQ799-ImJIV9i1V1+e@-+nvF1{5l&MKVnjm!m&eB2zY{l<_p@#?G{PM=O%s9iRq(R$
z;5xSTC!u3>r2c8XA#658w14}`fKXAHyOsOqh;puVKf}cgF&H5^7Pf~0lwgn^vi=Zf
zhxI*OQw?y0!M6C8C<E3fEf%J~|4UdqEXKHV8z7VCFM~q!G7&dbk;$w3k4X18s1<Qm
zAN2*NH_aC<6U1ogsowl$V*k%OiTQl`Sba-lmBq_tf~{$6eW27T<ojF*p1h)mnWZ;j
zr&jo*`$TL+&Ot_K{I~9jtFj)_B#8}qehkR^n#6MX3lmN-eGz)UGT&lGZ~Hxd!2oVS
z=Q5^97T9#a`0_ekyxku?8|u6YTqg{>x`f!^@Y-lO_Y)m)s<WDf)2mS7u}Q<YiyiLY
zgFU2T>8QNKwYlUTBOd+;^GdAZ#CPSj0h)>{b4b%;6K^sT>}}sP``2>gQo+C?PlnEl
zez9wpBrt>T8|VJSiPd--NgL|<s*R@N`;Ts4XF=*E>w)9BeArTyR{P%uZL}-eIYsrd
zqUbCS!~AD{Bw9qcIn-)lK|z71(U=`GlYjkt9R*Q2oo9H?NDCUSa=()va^NfNRfFG(
z{_rMt%v(Ougc=l=|8C_%W!E>YW`7Yh&ezFb_s~Q??G{(8J`ZkH{ACT05`(Ge?3CVu
z2FmRDH6PP?G55LRfajt(`s_+($#M<w&}wx}?(yMB*Xg@YR!PAqR?=$o2@MR0+KWB?
zz>hwQ1FNF6Ww7s_D)a6@4fst|k3}jA;%sWlwSU%f==!QI(crHEex8EgwP%E&Srgxs
zA1e<K@0&9YuH4JW(6YoSg1oj!N4IVTn7Zuw82>;6F*E$y;dex_`1KigA)$nT3ahAl
zt2LqWG(n3qL>z}>4J>ZdDkHbA<ZMocCS0nY^M*J|qU*I@UC??}q@M36TfasNliNOT
zzhy5C>2!(bVqery8cF)C($U843c-82fwIv4(pG;ujfQo*Q@YGI=wPm#uw2_Fhwt~(
z(-{d(97>m4toEeCe3a_U`YR7t>G}Oa6Iw7_b4#dSSr<QOXS}cKDuS!AG}hyc4ua!b
zglfd~5ODlw{gDVIJRke1Qjkc8)bmIEO?vvsPMB>=sZz#C<^BuiX1Xvd=4(lhFo3{|
z<bJ6|70m4{k7{n$Mbp>q(#Bnecx$d`<z=zrrxxz_@;K_jIQgy|zmGAl$krw73Rj2N
z_a8UUrRm{O)bxD7k_n7YB&|J{N<*fSi<QxBJxF}$Ji}gNhWa_9Ifo1laK>;&ik{ZP
z?Zdh9F~=-0Q0`LoB2p8yTX`)eDthRw^x;~xw*uuUH@-tr3yMWCyMyC(!F4(0zeI)=
z-*hLcNH0eVI6WczF_#YiXLm}g-T+>G;%BaW&_YnkZ!04n9jrPKWFB|c8g~@pooC-`
zAvoqqTTHknEX;#=3$<+UkiTWqzZGA4#jta`=xKHQt2^VOe%}V0gwylYxwN3ZzwGC;
zFcsKpSXK1$*kW7hxj&a}G(ktgCuTwsTb>{AI<>|Y;w?4<V}u3{=x7xjmXL!qm+Z4y
ze_MpOm^apQ(m=}<Z<f)Oz=HYP!mR&n5#7LGu&zW6Yj@Ej6S9O*q_K9ZE8P}rO48%@
zYOA8?!Sh^ZMP8hVKb>`Z)&{yd^+D^hlwls~a#3(CE9%}G9Zb1y191<}-RBk+v6SG?
z^E&Jwv7_&3Rg0Ak=1DFmVIKwfrUq`=)G|Y)UU+kZ?6AfwFP`<+p2)#&&%TEL=)Huc
zyP^thn>7mQbN!k=G6=Za+{#{3LyB``evqC7n*GWKO*Ts+`_e>5=*R#$zDfDqzbN3y
zPA&_klVVufB6`s6^f;+XY+^gN3i$KZLAvXmF!KE4Rm?t2k;6Bo-1(&lT)9<fHs&V?
zzPxi=m!oG%zTl%v$IPr?ymdt6z8F6w2As4TGryA(6?}iZ{4K$pb~!nkb2Z+oxi5^f
z{~&jMKXX$&*#f?6>%@OLaN=@18Cp5{ojhtIJ2_Hkj^H7ujOAfg1RS(UIKBHj={%~M
zUGUosqk}4TsqdN4rpgoVRX9u5+9#}0G%<t0g9l2jN~@sWb+9<BbcWP*8eJ!Fd_@PJ
zL^HJ={YMxk%azGkO_TLm-K8=uCiqNSuW_50C(fPm;Ll{7BuDsKf_})Dpm;&uOf2CS
zaqrLpBfG{4(uYdVwu&~!g+;y}p7>6@5{#SByF5;g#w5vAbQ*z{7y8n+d5WliH&Xi`
zevIU_{~En|#b<34G5*=!_Jz3Wf9k&Br4jPi;4LoR97B|4Dyi2U86|p76mQjPA105P
z$i9o=FoaL`J4>NQLj*?^TTH3R5SewAxlQem0a&L6e{0WvAU2C<A5hF5Bn$turG5IQ
zkLQP-W`dpH5p|2@?DrJ<$*_ah3gfry<MTl~wwYaTi5{&rYmAus$RnSmd&UR#u*>m)
z>&TWC;ykI6USsy2q`Mg;Px-Crop_7lB4Z=b>U;Ci{>FDCV||82^pGyX3<H0u8P*Z5
z2YO0eu6L7~!ECp72I<16tx|O4-veT3b<40!Ll@a1Te2f}hK{T(^@$;~8^lkc<%dH$
zUF3iM+lu&O=s2NT(Ix$9J4trRyM7z!B#Ye1-`U)BWH;0A>}I=3w!g@nWo_*wnQ!xQ
z`&#Kh%sj%g$mu@0U&OXN{%<FFgSAfBKSUd1iN-OPjH}4N{JQP#+q%etv(7FOnObl;
z<|LivQ%hb9cP?gS?j{v##tU}7(FEn9F6%B{Po6d2)i5~FP0nfur^|3_;*aOt+|ajY
zq(FW-t>gPUa@!Cer;M`(WcbJ5+^u|0e!b@`a}Mvx=s1I5n{*m@dss{RjyI9Vm-&Vd
zH1(39NmY@%2Gn7~c(<4QuZ3*zGWM!U`9S7g>GO=zR)^pb^-&S~HnOi$FUj)K0J(D?
zt;8`-4VqGxR@Z3lq_s=>i@@-YWH0-%<oXY)C}fP=c>CpBa#)XD{Kvx~vg=Xpm6v9!
zh~~)Rdm7tGdemfeCD1;RaadBYy`}=I<u<R?KHcP+)$V=k8%M~3b+(S;%qsZE7&|rK
z-9suJh%EeZZj4OOwwE#7s|<%k+JR?ry`<#}-<<Nqaq=jq=iJEwC8*xW@V-9qfs{IY
z=7-0l3DP9$dDg6(63ANbKTpC3$sFz!EvQYBVc(a_B3FFZC&#>^D7hi>Te<a_<eq7=
z_XmgCf}JAr?liBnFCHdiii7i5LT1U{Hs6}K1_h)ScTBbWj*w--<xG03e~|3eFS0q-
zD8MtcM(vd87}+(#Rl@u6CwZhZcXLXcJZ^f&vRXKdlaH&dY_@)yBmXm0Xq5Jm2lsd8
zc&Ee(a>G8e;eFEcq<~9~Y2$<(yzEotud_^&{(SGpG&2@R(;y+G>&N7PrJBc&8m7t5
z|5QJUZCD~pfAfE66OqG3yUzomJ7-C@+Mc(Tw;8CqU+I1PL9)PkkB{>LKgc9ehSE|G
zM#^oVpjGsa4Dyy;HthTMljJejsnnyzOf^;Oo%i`I4SQ?v$lBj?<f@ZnzSm4yseE3R
zEmbbkC}~RRv^1M1)lUW;2##T=&V(DWm{&+4RkSu|=HUW)@b2D+YRjCIdEzfG8x<)e
z)-yYX#w?MR=FV9@jXczAe|pg2TatKX=q&iVk%6io@~=(|<)hB8y*=^AR1(Jr_#akB
zF;W7j)~@|6EkN1yCnmdnlz`aJrIC%E%v9+t!&Sj0LCS1OG_&-Y1ZG_S$|de(rR<(`
zpEczZp}Nz%X8s<KKqu|5a?E{p$||HoYQam4+IMQP;KyzW3`!p>t~KPMoD%jHaQ914
zb7x{if|Df>+5a$uzRW{4AMJ5bxhYK@m}E%V)+K>ANBy2~p5dcR9csM4ddN{9dzRb-
zJtPtK3&$hP1Sm<)+OZq|<f&;VxA7bSDZIKQS12wjM2V)=D+jhHQccbRtb~*_uCs6t
zSSpB6e{(olt)D7WA1ta;ZXTBbYkB4VuYO{br`Lxc{|%~AB{@GEpR35>MEzdI<~9lH
zq~-d6?FuyNQ9SKqk&`?m7cy4Ai;|`!tvhq<6E&%f%!k%nY89}<qxeVyO^!O8k=^3T
zr9+)KDjGc;tAwHe+1=kO<SFZY9`;V{bgEpDH+Sx~3iAD)zu)bxNO6n~8KubSQGsW7
z`9)i+W1B|K!e(J*Dt_-QQ^GENYOw57WZ(+-?)SYf95kXrIUY*%j?Xio0`GebgnZM1
z#wcH+I;BRn`$`6|))`X#14Sms*z{n&>XldPbsFVy!^pk2z=*24?HzMyivfOpV^AN6
z)}*4oXS#Q<Gp3@}y*Hl!ZiI|;Wo{N`+Ek(b&K&hC#+1`qhu6!srkGege=Vw8hZ5es
zCdTiGF%{twvUBRT1@=}e>k-%J6#6Q+PmdZ=KbVW}9=S;%FmIq@LS2{QW@AVdd1FY$
ztr?d5Y-5e`ytMe#L|w{E`pR<~^OgLUcsPD$+JKFt>B7PTU8?wW?YATPdemFiEoIp+
zZDG8ddh2{sm&zNux!*KLhYIU|ePp=K4(tONXNo;^sU0j=s14pUYB`@_`|ogjbk(T8
zI{TVV$(`Auz&D^o1yuKqoand5r*@8^8+>$Xqlxgu_7NFM>z%gvD6<0^eyw?(woaSM
zM%bfw1wvG6k&gP+Nqb}uy$v|0u1Otm8`(bnn3Xzlkk#P9O?$-6S7cm#t4_Tv)mVR)
zm>|Q;2TY~4?BTYt*i?M8D)pgWy^TZY8*z5zvhs449e$5Su}X9(Q69{D^LMi`BDK^*
ze#g8muIjg*Ro$RK)hZ?Fe9PxVNxT%}sSUQ!^dLtH9>`KzQ379NF7RQGmzH{Tt_=#g
zLfr)yB&d4^yVxhc3IN_Aj+TE{c&vO<Bl@%m6>ap+W^%=sH0Bgl3VK_^?2?9DK!5;M
zoWq-XKV2BbSGTagqJRzWCzGEG^H49{S!csFMZi<-KB1-uFuyydvcShmwH^!qwmDJ+
z)0<d!9okIbVD^17*MFH*eO+6B=$HsL>gcU@477q*GlPZCyC0<c`{Q?{c8H)_g}M|K
zV~O4ef1MM)4U;#tFS&&niNJ#HW_RwE1x}QN_VrJkBr(j)xx6HdFFgYW93NM>>(?Pg
zwjCdd=k_P0F1{4Tb<XNT$CS-+ZI@DGqSrJrG@yU)Or|hexg4c#MVZ0znknO#fH|V-
z)ls!AhlTO*O4G(&Z%r}sXer$}WRZ|x7_Sfy69)6ANr?etQ|vKfnYup30Pi?`6h#W-
z78k=A`$7{CAId$lLzu94Q<SA}sxWw2H*MvSHo>ZP{RiTuEa2j@PkzxTjB}57vA)bQ
z#@VN$%dcOt;ZRgZMX`_wKJGEys;*#+lC70Fg^e5--Af(!j1d7d_ija|QX}}TACY`r
zz=hSP8@7uxh+^Tlf4a535n8o=mfYXR16A>-HnP`5;q-9*kMSWxh$$@(avAaB;q4oq
zdp*RUa56Sl@RT9ks<z6;9O6TCo1N8PWpU^(mov@iuJBv+zCVkb__5||XjL}91WqWK
zy`)ABV0f&m`JagZbSdktvZ9i>y!A0t-%SIo@;c{LDI<vQhuzrpjigY+zI#vMP6KE>
zDY_`ZC4{EO$q^xYq~RYq%5crV0OR2m`s2$&kZLSo(jaA!bGN%>9k&6RTZ~$+t@O_}
zIPzkrpd1VzZTR9erH=y>LNUkLMbWnDWbe)nIlPUfkGS>e;}UOtN4ks{EW(>FrC*cB
zmUYJ!MLYFz@_p|3b!%}jMSZadiBP~UOF8eL_xk85T+Wt{l)##{46X;xif9Q=R}@|0
z&rYgf%CS@uKJz~9Lv$r*xH0Z!;4wg1@Uuf-7Nn4F|HV^4Tp8`AdCH3x25<>F<$B0N
z20tGQDSu;9!6VI$gYS<T!03!o%-<SW>>W8pU7u1xL|y(`&({X{u5-zIK3xvcI@&3H
zU8-pLn<2`fV~Fe-wS)Iu<Z<HJ2jdr&YVg_~v&TPor7sWWlQ*nZz)y?o+gOs+q50(8
zsuQY4aN!P|GHX@9_T@DGC(bm`-!}SNJTZb>{(I-xbBd5TsqmtFfrh&;Pi<S+VT^x~
zFXQ^wD&d{T?vNelHPG?uvP!|qKlJW<>t4>FjEX~|%2o`Tc(I}SaM~vmSYKPaTI0Sl
z>hvxLcdXY$n)EBVBbBC@4oV->*r<X#`B!%8glS^>aaH``R5NUPta#+`m<pb_{X3+z
zMH9^x%JG~L=9qrkk=!1vx}vwOC-WpV5z^_rTio3OWmP`9jNPiRU!!BoQ>cOS@$Ujv
z^(+yg&Y&cwp@zwSBY_7NX{ebn7>nSrLSQLd@9`aK@byp4dM!u8dFeSnTBjA#u4LwF
ztZ?XA)=j-LBI+12l5QzKN1)`#n)r&7YOtA!4LdWUiW+VE`57@_o&27A`vTRl;o;4Q
z_EZ&!H+J`2^#ejLnlz;;t6@U;k&vE}GT1c^3&vgooTR3_Ih$3H*8bym^DRXPGLDjM
zBoOnuyC`>~DkP<<O};59K;U+YiEb}&V$6G@vt9*Pe9N6K=gT47rRjU?C}5kpH~)cz
z3Z|S3hWPztFl=lZZ~F<b?||N;0A=K?7Ei3dBnj(9@7Yrw!1G;O>#Hv-A>i^->#HR(
z#C<&RySp0L+3u!t;h7>VhmE;=azxPhAW$|Z4QTk?cwBv40fndR5{r)tLA6<s-*+1@
zmHlSMfI|Vd&&8|zWeMO~=}V?G4IrW~^Rp^V9w|#{3=bCgu$i9!YI8q<1zLKB%mz8+
zesJrUG2z9h#m{!!EAu&#ww)nwS_VqfHOu02+$h@}axb&Z3bG}`4zljjSlHr_9;wQO
z?vtF&(y+o8tNW5in^*WQz=>|wzyZzFwQ2!(Eity_GE?m(fv543i_Fj1F(2~x^RSpD
z7<!tFg&4#^U4OgHUV<IkOMkYE#983b@3APgr=s}&cK=)@#fI(0Rqnyl=J+1~0RR6K
zS9dtoZy(OydvAwh9gcDA`Mr;=QlcV->_TLeiYSzZXi0=rW=TX_NNHH9NJ+oUkP(VR
zc+dOqb3NB{-Ph;2Kle!Uk?8t!RU9ri@9`Jk=D_+pzq+x*94e1I3ORDb@Z0B&0`)To
z*wHg8-eLxG8QIExm7+LsWtwoZ;KX{z!$+em%s}6KWk27b2>8QD_LCi)c$#~t`B|kY
zd^VIm+^#2rjLi>Hna^{flXd?VA9YilU#;S3$Pq?R4dte995>K(Iw<Rg33jFhsK?6-
zLuQQT-E@)%1{1?R<w_=qS)H?f_CyFTdX%glJ?2GzUwv3lkuj{k9-4g|DTEa}h4|yV
z{CHxRpXNz5#=*C)n=cbW_;)e+yh4HiSW_$&0v{RSQ&}$k0$B)+Y2y9IQU$T|Jx#!1
ztr4^$O#9{(gb?b$6I$jYgjvyp_gMQ3VY+zYp}d|D+D)$Asc{fS%7?+zQgMbj?e*qh
zvbzwDFKxQZ4-q6T2{b&BF~pov)w#Rpg^(yYc9ZTTijoyljYXpY^!XI-xeW+`ono<X
z#$OD5Hqrb4gd1SGm36P0y)dje`fJ~v6$g6_#n4sB0L-6)o7w7waVR1^?@EURJcXkw
z>U;IUYFf(C>m-6@&FMg9vJ}>wbj@za*GJW*g!r;C5y;O?l1ffXL&|??d1#kDew>Pn
zh|3ejh3ERGxjAJKV8I^VX08vC#l@e&fno^XOZ<z^mcy-e6Kq<N`sg|QJ|&ed4w+~k
zHeM*8q)bS%X@v&)IECy<JqbK7x=?igup-Ls{M{p_X{d`-h`wqhiT>_%v*<t)+U641
ziA>SZ+3J{ka-$R;{0(Qx-l_zJ8P=Av1salP%rm0nr6D#nUZU%w48imyim8x3Uc9f%
zoT-(;#|!P#UtP%1@Q{4gVZy-KKhUvRP!6Z=U#V-~s)EJVcOFT5^)Z&|k&?Yn9@Bb$
zOgDX0aX#vv%(h4R!0o6XZsQ6V+%4FXxJwP+`T{RFiyGizO(s|S14X>KC6ZLTM;*VJ
z-v$~b8Q?+0-nah}Neq5ii7AF^;CYZ<;XM{ZWL0gnE?ut#jWp$tPq$NW)3N%EQnn#>
zEz}aDGRnws+dsl)rini<zE4M58-et)@lwpVGQzgA=Jl>>;$5QgR;g7Z6l_!|x&Dw0
zkKt|W8jH1X=*qy4`8H$xx?emJd_)Be_j0QE)TxkiOFL+C+XNc}ddvL?RlJbM&N4kr
z#pns1bf+9sob#C4{$oZJy*<;jHU(6C{h`y+e9jC}2ff?WE~=sG-|HEvG%B3)x`Hlc
zn4|4Z^1PvvI*fEompCn{`0gJ!+nH{G{k<IQYcH!q<C1f}MwJ#U2x~g|lqJ5Tleqh5
z)uAtu@BCm?6DxZY$Q^N3xVf!dZdzLdZ!h`mbNEg{#Ki~^X>S4%)cZOjYc=4+)1A>-
zp#kYz6wW3wV2*jy!aZvZ{L$KV=#rB<yfYR<3L=2z1ko2XNeyfhNuMmKS4Ef80kLb3
zf!!+&NrTPm;ECl9KO&<7)|u+H?sI^ta@?@e4s|T-pKWm2rHrZPp`EkxbojcPkSyEP
zaQxq^Et{)IIMy-o$ljO^Pu}y*o5*UoxFTb$$)t!jzUJC`D>@>R-wtT_sp8kJoR}+(
zvLGiH6>c=5BgH>u9ebJz>cajit*@5CqT=uSE(&yL$SOI87Ly@RZrgOTPaHkl@4E#q
z0qx#}ag+Cy;o0e`>)<AeoO>-9?yZ322opbRy%JWp1^iYM6ov%1-}KT2U?<ffW1xwI
z1h<4iij*K!rC<6=Z3Yh9-L|^DT@kM+W#0wA@Iq8lG{l`BxKFLTnEyZl4_m{7+C;g*
zag@zI@B{%KO2ih^0Xb}oYG3UB$N}Ra?UKn!E6Bz+T(Bd_B2u$x@w7NQ0%JIh;x<}=
z`tZ=&lmpVRTH~T`@tPHu;`K9q6_z+^=d!N(ha?tmg*Z-sW5Fq-An_bNOB5eJ(kXsO
z0s%WMDf63H&>{VfyDQ8B8)D)nZmWqSZ=)^CIuRD+ciR{xwwZ%#W1^?QZ&B>3<0th?
zv7qV8g<=<7b6gnlJlFC~1l-9Y25)w-AYrpy*T+l-Khu}owSEZW(~6amT_+1NZVpir
zR!kA{ai3qkurO3Jx~rQHvVwi-wPH?)DGY{B`&D}gVP83Q`(Fn(Jik!G6xL&cG6xk8
z!6$;Kj_z$eX~quGHH<CZV1mE-Ued2k1d-}((qz1W1G0{s%}Y(jI8vS(bmE!-juGZR
z%Z_j&G_Svn&)OJr8js@!SOicTThFnrg9}C>raMv^jlj`p!Fu)*KQdp0?TNME0iCwg
zdCb8G4o4gn$`~Ki797>``2{b&uy?VTzcWPC-A0{QJAR~{e{R&jn;%85$gLedhR_bY
zdNSUdA8X$0?ba6;MBcHnTL*s`;Nv^d;|H(tV~1+eo=$clIH$T$BGL@-a-nZW1fKw+
zBBOWZatNd3L^J&t#Q>Xgodm8i@cW0{qU@6rL27sGyG?KP@g;B5#y8r6_*7&g?Q1ED
z`%^1&0|)itcg)^1xj+z;_GyQsV#LsR+c}6+Qy(kMaly+f41WyYsMA<44xuH%Gsc57
z7`1lHyVMII{prKafr^rde|-GI>~$LMWpH;@gb9Ns_WL#8EGaPAZ_Rrf!npt0;+3bi
z2u5tC?_5=pK_1sn?O1afn&*xg7PE@N_Qb@0JuR}>@kha>RE&lX>GHS6eu@GcdCk&K
z$>Wr2!(Ed_J=8rYU5K9+Lm^dod`edlr5(Sg#eV3)dY^LLZFUJn53x$tsgt0?n=@kf
zT@Nu1;&L@KNvIEWU$WCuLPdL$!uOwgV2coPD~geVZvff3)=U|luFOLkoHQs*ykQP#
zl?HF)sLHr28DsSc8C!K}s66o>Q@W`vvO?QkB%)QYa<Ba8)7>;wUku6*ej*1SGQaQm
zWmPmk`bnz3N5k(T-h>w}3i#Tw@!-y9YWUB4pJS4kKHP0jTK$PrgvCVS`m#}V99j;H
z+<r<QHhIgXcJ3ssQ@t2P;-;Yecn%0L19*9CkbY*O1Wn50t+tAq_;utDdFZ|YR+vuT
zj+AHk-;L^qJ7g{J>X`&&MHu3*y}`g38yOw_lw>18D(th_PfHU<(D^24j0rN*qts_O
zzEEMQvX7ETHpZoR!wvlHDtPajBRd_hje;!NcNTdQu!;+xi!D*bVoZ@m^`thQFxC8<
zXXLJX?*0a*F>2Tyd9f~8MF%to$&ed#GsNbv5pL2^hgC;Fc)FYpBn2j|Hu#&PkCkOL
zxJw<6Iz=fLI<z6}bkW!8gas<g9C+h)YGA2s>|mU^Hsr)!1}faN#ERgD^Lecr=)QT$
zyVr|~=p$`zpPyMlFIf)1#VC+pUm>{BObb=)AzQb<CUD>J@W)_N3TR<kiRm9H5Z;#_
zyK6fTI$E*ws{sXde}XSNn`^+fzNR+)Il$B6dBm540*<YGrZ1w^@VEI~14){W9THA4
z^ePRUY;Ds2$I$g@<$xAXFFM!<rvmv6G_cbt=-TW>Wq4&N3)`g85pHU)d+NM8GLGKu
zE6paswsI=?VKE(bpa0xQ>`;Sl|7V$FjQ@Ywa+k~JHXVn5FE*T-W#o*)A0rno%ixRS
z<;vu1bd>76T>ZGrnEyoB1rK>iP?^6-|4N}l>v)rU&mS@#-x@jb|2>GZUEyupM#uXa
z2@8?$%5Vxua7h&x#?uSw5gtl(tgDz!ZEsV;pLz;sFI52H!)GUY`+&^vUkVqhNsw6Q
zX45msjmbBPbtzc@`LAd6Qm!JBIK>q=tmS~Xeco*cN5D7u^XMii1<ZAcFg<o>h2P7l
zXHUlnFn!V#_2-pi43N(_V3i4T^ndG*SP~$YEcZA_${=gxo_Zy14cx_Fv0J5EK{WQn
z#xY3YIM=t6u`ia1kbM6wgI_ISls;cAc2WX|xEhZhT3#Zylq{!CQ!P=QUs_%;D+Z?P
zpWZqCS|m99uI@OMXn{TS+PdQjqL|NBkmEnSNH~YI=brjtj)cIxL?NmO#!Bm#o|i8Y
z`P|c)85DCES2|}bE(>8%D%W(c%@U!bG*HKN%na)N$Hmj81z}iCNa|VsBQ&`l+ByuH
zqM>vRTOEracv_1qR8KDxSF7?958IhSL$l2PY8XEza^v#sNUOxr9`pE)TPBF#r<3`F
zj}J%G$8GrI*5KWUcCUxH3GNRR`HhY6fb=t`#OWv#R>ws>)Q=hCWs0mAvA~VkqjM>p
z1<c@a9MN=MFv7cIv-zXu+_*@;#V-Ac1<}u6-|37nLhcovqh^&{h}_34;-<=mGH1Q5
zZR3VWj404*aOHyH(c2=Sr`bX2tG99tGlX}s>p6Q87hEjUibgm%QTKQ_*>lDKU0dRh
z3`%jqYv!}&hg>d{$W-{s#~I-2(4MG8GcNFv!$fYb<AL)UXXhF&0}Pi{Qi)_PG#}o&
zcda-dZoKXmu+7s)pP2ZA`!if9SlDoUc!eL<MxnFIhWhv`Kizx(7&of=GPnOt7KFN0
z2fJ)14a_AQa)zvUu-<{EKqyBD7mU<12V-f-u3$T)C&!D_!3TVr&xPTayINCBqQT?3
z8}BDYK6IQrSJ<>h6jy}>#9zMCLy#@=9{08Upswfb4B0G({f?Ix@1D>@sKJrOJvjoP
zF1VT$G5lya+tqKzUJqFlIxjd+3gXS^<$`$|NsLB*+$qhchxq9Al?K~{aIsSOWy^pR
zs{6+-{`W-}sREuHzE;BE=CbA5lP3eo&mk3@HM-c_>L)@s6#@H-&7tuaIYbO;eNVik
z3xSU+d(W(8<hC<L{#+pna5zP`T$`c`(fJ=$i&0`|ijI4pUZ;rsU4jnj3A(rvG(JYH
z7Kh`GO0|WLB#b_<rCdC&3(uDI1r<D!xHBh2ezUBEd~JGIQ=Tre4~T#6ikE^@!r2#M
zG%{{b$|i0$=_0<|uHg~83<});i2FsUpi|H!Y;;u@yLK2=h?U7=!!K2@<XTnaO{v!y
zY|w)@IoL<rUmjj+7Yq{l)bWfve~<HBJxoo9;Iot>=;!yuhWKhAaEpKTFqH;bj}-p(
zyd>BJ`sc2#ra;5(PSKf08e*c{+2c8sFmU@!#_~T+#{SQ5xfrRBaPqdBF<i<pByD%2
z8dLGHr<BrXZUFVc=8`)CWF+~eEN<DRjbdrlH_u3hc=Vayi9<pK`pu4^!`pOlL-?@5
zGbJOOt4nOEkWqzP?!2Crgf6ZLo8Q=FX^ea=Gf#afHTX7#@6im>1$ooXzakMPV79Zz
zNp5x6UfOFDaZwjt@t5u2RGUJwV2iWb4|Rl`yc$4b%yCp@_cs-GbJPmWsq5d>fMe=(
zV|=_WzOd~I4fe5srrShd-3|&a<*Kw5>FA<iu2LcUfhA5hE1eJ?qF`IdXn1U>4xDQr
zu#B-0u>7*iiNi({(kK_Zp`eXp6-SHCDFP-HjnB95)5M$5ak68Q7TossTB=k6^%G7S
zTn98^T)$8#l1~Az%*VfZR66uJZ?PS7(nSA=WVzc>br8NU9u#HL;o#>X^J9zx$@A~~
zmn~FLalG`_w_%3P>z!$1V)VwfBwP1AgUSeOv2Ej%v&M@kHdCzv4VXkMm9wOh@H9sC
zvZT2+;+broY1FAh{HvSdlSp}#1YZvN3u}x&zB|$SSPf<wKdzh*kVcPBOHrDxH5%+v
z#Pf4i;q9pW>gS3WVtpmfZsxUyRQUDHaUm+O{^!Sb-$fXfLgwy9-E^D|d(Ud6Nk*>1
zLyHkPeq3(NYBamZ@Viq1R(pn(@K~CuZD$-O%HOek^RTCb?bg$?Ojk)@+R?+#7$szU
z>Dx9;1FGwP6`Ol0qW0QQ<==CwL}#po!|{v2>Zl7v+DRUs?NdF5#9!jkY%vp`A)wy9
zIzyU~f&9P^Ir^sG#NO?TW3nX#d}^1Xlpac<W8sv}Nd7cY_;~8>g8?hprdLmBT$jMM
zp}QJW|Hg@s4wjK|c`Ll~t^Pb#C5E^F>G_<DQDWyMj&YioB@W%xRsKFIf_q{26N7Gj
zC$jv?6SMLykgfDExY$7$c^MmQy!gHo{D(!#+XflE`1c--?`?v3U_BMye&{>F_2^TR
z1JxYgOC^pc&+#K6bVqs2vk_un|4UxSI5YgA)jWBc&5QkeUh~i%j1lBxQJqt5rihdc
zx}?C+PmAajnN-sW!pg(tn4O9#j#Q+W4_0%cNHg-tpw>?!@?`FJ`=cgkP}cC{R^our
z?7r1m%Nb%=M_6aL-x%?%Of0D_Y{2<5XPkL{5r=qPxAHp}<Jp$XqV46Z2%l7yA6WQJ
z%(vx<+^ICe;*lhung$j$tk10wXZb_?GCDF`BX5L#&!VsVWo3cNYP2o4`d>n7>)tSd
zbB5S?=2qp`eavvp-)-s|yhMx)Zg;KXFvP?54OT&d%;;>`D*Ei%GI6a)fBbBc0rcDo
zm1o~E;rfesT#;Ramn=K(lrkAW;#2c`i-$~D>0jStzKaRx=e0`zr0650{qt3yXH2MC
z7`vO=#0;qroxY>I`grNcb@AOe6R01Y4RVZFF>9?p<Z_vYpE@)8K}O8@H`}z>^OOyW
zhQr=5>NH&Q+I4On!(V$EZ*QFU;y_5<+ivEkdg!WRp5)MAL1s4**Uj+5+*0!^(p&Yg
z`B|7`YzGU*C~~2Nzq!G@Y2p3AFJ0JlW<Gj#i51XyQhhwb3nR~xt~7@J`<gl@9EfMb
z*8OD(WugMO`7*tFi<K_kN@-wA5<9#b)vB^91tIdSLO`%v2X}Vf;EXBbK=pYKzUz}h
z2-*@(`DdX6rkV0iy<eQzrZ2g5zl{iFcDn6$yrYeYukVJmeYp|;=xdc$4I}UIoi_fX
zt&J70GS{_pJkU}eG8v$YgQ~&)&+I7`g0&NAxmA2fRtV0mnv#H*?R&w)+o>2`w;y{i
z3qW$+2an=fDJ;)q`v&q*F|_vZDcO&L;FT;qeCxIhY9$lS4zz2*>#J<T^FKmhmDn*6
z^IQ&_`L_npO0^JRG#e0469M^E^ef+01^kuXE%PH=3s+P&NSsR*MdFOjW=%a3^o29o
zSBkZ8`SkRR*@74j<hckt>{mjWg=Ffh_ga{s3$8nROalBIpQP`!E8|q*GYw7>1OI&0
zRJg7b)`pE$A23zHqG`PHXeJeB{<9SH{VR?BYhE}0)~G^rHskxGp*DtwX6W&KvhWzI
z+;rJW9al01C&$@z;OKhqx9PAvdhKp-Wxdxxq0sUCy=)90KmD$noUDk*sr{dNLp7ni
zpKbe4p)Ou}d9>UvAR%E#Lr?<?70>Udq?P&W!E<`RbKe^!m_9uf`{kTAx~=ahys)7m
zB;uyXnk8jqJx?`RV7!}TRQ$BqULR|CSl_Scsep}dneESAU9_#pagBu;KuJPh+ayF4
zp;u5Y;G~E5AxG+e-7~~4PLag8d^Kp7&TMIE&;!fYromDLV-&sPymtMyI+V|}--{5Y
z;nP!Y8R23R)D0SIl=f>tU`XfdVIvxx>>uw{wlM?S{yoCo{S?^AdM3E3GVqaa72lXL
zhg9JjR*7etaL>N~VxU(KM#GMK*X3JcA;IO_=2$J*Y)ZZw>aGW$t0Tke_5?l(8pbd$
zYhkN-!7(WYzhhF?<Q9biYLtey>+7iKaOx3jG10-+m!Ctns?hQBgGh~=Hx-jKrhfW>
z7XC|fb0oc@gSEEa!J0+|HNVuIW<h}h5njUTYz=;&e!IUfwV)o56H)E0hHZPaEuyQf
zF~7@zCth9)nWp<|odU>sm)5l<XTci&no@EamYSF?46@7)CZVcF;$M`k4Z1y&M0RN~
z`tan^+Yn|sl+K-W&Qr8O<3I07?QwOyGTC7M{ImqR$h-9fIc-p&{9a@4X*C!>eA_;L
zN*I^E)ZeK1XpN$`V*67>82wB5{jP2eUQB-slKgnq8mb{`=L*uu*!lE^xcF{X6!Llg
zm^WkirpDcE{;Nv(FjqZyu40K;f0;0|{!B;wR~?U}Xc7*8S$Oi}!!&X1+B`KXf)3$F
z;g2-GDd0q@Uhf^fKB85dZ~4|5I?^Q+OIc<aylsD(v@NoRD14fk9-9H&<>IGJs7d3l
z^eBE!x7XihDSYvgQLm2o)tjtIl>nW0dMEGZ|LOye*st<>5@`9D{cfX(7#>^3uI$$z
zs$Z`bd}&v_6?ngvJy3ls3`57C%;OFt_3`|x6Js|lagUNI;{HSsM;(hg)mldDkF+Iu
zxV^K$%NBAD+Z{fHawxJIi;mS>M%KizvRS}k+T5bvmKzEV+(NE<M(Z`hTtp-Za~$;a
zOB~VX!2JW0QAb2a>X|R>%#TYn!;}Q?p^LGsm{%0pnQt*%Z+wHCv*x8Kg3ildv*cz*
ze(OK)EdIfIwXhkJ-NL50tgzz?d+RC@a=bRC@@8Ls!KTejkpU*i+|===gX<p=M1E?Q
z>DF5>{W?G9{S#w^Sp=L|e6~P@q|cpEu<WisaLYMqt)wx|T$XZS9h)N#-c=f9rM|Dv
zKVuS}bI=Gvb|Dl0qJI%Bs=Pz@L!0aEtv1{|@y!s5omc&?d(03IQl8M?zig<d8#A-^
zI~l^~L}kN-^iRUOIX76f?{+=i^=e4WLjx#wi13^jnIJg1rgY3-rxJUU4kt)z8bFYv
zBjLd5F+wLKMCbvnhDf7waFtxs2kYco#pIX~qS@r*vUE@*A?i^Zxh$iP%P$V(sx=N1
zg;}|o#^KGxYbQyIf7vud#(J6W*gZr@<o)NvtoV*N+n;;!xC{+(;dh*qb`BD)Cwm+J
z&UF%OY56~o7BKSspj6d{s{=&3XLLDJ<0m3~M*DG>x*p<W@7$`AA0Vvq->_Dk=_Pbu
z*vf`7`pdGizexS3eu5JIJ28pD!-mDOW-S|C<Y^lp$a>vR$dYVo3{?k+*b}Pld^dG4
zA{o@>`lFxVIAgwX17(P?ihTaL?SnRa^qW*B%?1d?)kAVyZN3vfK9;-2vS`DgLQT@}
z;Q+ysBiqdpJ4y@~K8pWgLdAgUG0vw9{9XTb5$-KNh)s&q-rO--SlD*QrCooB;PP=7
zj<=sAG?z+eYHKv{(_+uOx85+J%Kg@5b?PTk|GU+9e363A(*9~L&+i1QX}<e#;0$r+
zl|X2cJq2%*y*F{*86gHXD$U5w&Jv{Y-z`yD8sIw<VyjCVBN}LS-Qoqmi7U!yyQ?PE
z;hIH0J~RA-_$*lFA{aAI6va^}W=`rjJNe+ed)ox@%ek;BKWc#p&h|{@y{U$txyoeT
zi77(0r)d3?f<>b3(bF+qK{Z^8$dJ*wF-^#K7$|kHEEBPM{_PLq7``ME|M>d!3~@j-
z(zfZ^D)H9H==GBc6$J5HA2s&<MUVp1!&1S7sYfm${{AZX`f1cbnUTZ(bfmU;buyz#
z#OTW4H!?=J*4<@#G*6H>#XYB=Wkv7G>7XP(GWv~U+`g175czc_9-#-=F;vJOoHMQr
zuh*ZFsBadD>1U(4`_6Hq)!c9-KTa7%Q8Kl&q-7$3oFfs~$Bje(S@tT5D1%MwhRdx7
ztHgmLF08jh_~1vZ8ScERgypkSy!wtz@Z*p5kdk5K*@IPaIop*mcj5kyfX~b*Tvk{u
zE)>F+Z`v6t{7Q(Ijq&HXz>3VQs4l-PBA|L@)eg3j;BQoOT;?D<)CG^V4(N)(Tl}2A
z>tzz`pUidkWN;#-W6AZqnFQY2hPF0Fkx*{u`LOQ`H(u6`L_5Sv;p8cav<z<&T*}7G
zg#7q0>BlNPG$sSZ+A-5~#`##f!=pDMg19Gq_GA1dd3?*Y_95>lp-cEie&1yw1aG`K
zZQY=V#3w57E+fJ7$>s%iMy~q6%%T>(MF~Z0o~7)|jQ)L=Gih2>4E4Qq?+zX^79?(%
z)iH9)PX4A;T_FjiORCFN4yu6q%;mX&oH7nJ910XOlfuDkqcf4cYB*74U3vJAGHjoE
zpN~B!gTBOCOQqi$2oI86N#a+*#*Ci@2PNgv^IW=sQ%wtR41BI9hN^<w?o+^(U`6yP
z`@UC-(8m31-+PWps$-Y4hPqA<39p!sIluPRh4Z+X){+7Rqr0NIy!@20X)pEF@@YK?
zs<h58pVq><ck9L6m&s_|k+sZTL4(1hW66;~9juX!sc0!y#ktqjPfkD8$4c_q7pdFy
zaHo9XeX)l+(u$9Eu~rzMk!<EvV6Km~Cs@onxhc4t|BZ<$(hz+=njb~D8)EE`)hMZ2
z6CRDaH(KTm(VR)~N-8nN=xx>iHri34U7HzvO2-JXf1GLeNM;B~ufDXiS{wfZ00960
z43}p-mX8<4k-Z;e(_?R*$IiNsRY_$fqa+$q_RPwNBn?F+DkDmnX^_-?gv{hGezcS{
zBxR4xzqjYj`J5Nm^*vu%ibz&3w?3Q;$kKiK!~}+7r8PGH)q=E=Zu0IaJ@|6{Xo0pP
z0m=0CN83YbVE^LU^Y9D0aKt2xvHuUiiS1?wWm;%(^8%^*RZ|BPy?U2H(gNDj?Y7|<
z4Ib^3yYx7K4iV&yS0+l9K(0M-Q2s)LqqZeg7NjP)Gv+Y{Zm<IJ#&dno^JvhvB%J1{
zqYClQqCORrSb_cMTtS*T4K%kAhU&ozuzafP=raLpn5Bjr?H1C4g5EDp->az5k;XmC
zX<-erku%gku^NzZB;$VBc2NjyG}iiRWDTLA7Ft~eYH*WzA;j<_AE?ZJxO<D)8nWU9
z9qKbx;0L>;><%_Y*q5#DaddrepNWdt_k&6xf4=afr}Yrgl6tXwT+0fQaz>krWffrm
zjx>h$ZzH5n#umrJMV8>Od}PP%L0L!;c?n~lD<p5d14|2!B?Q)7G%zWm!jACZEs~Zj
z7_idLeI~>LqV|pKyS^w1{@iy?-J)^gQYAr2>^FxJ_J)BYUqzu_BK}tXGak(I3%Viz
z=8&?ZxQUf>BODB+1WOC@<CC5H_`E9sjC6PJz7<IUpVm;W&j0u^i~qrcJUIY;+oYN0
zz1$GRx1HsOB?XI}FN<CV0`_(Gs1>-gf|8oXz~x{H(w1uuHElBk5!aMmem@yNjJr~g
z8cIRm$raNro~Cf)-QW?&`FWxsR<hdOm4X5VhZJ;9nSkPBZxd&uzr=8B_<>dp3U>CG
z4<<e|hQ+_bI~J=x62s0DACgx1(It0KLVnx`7^*bC=FIpL(Y<e%t>5rt@$N7YaXll@
z`@7GD)$$!_m-{W5^BzBDO3cK^C2xjm_Oscelo8UFm1V-^B0ui(=}J5O(GVu=c79^h
znk0{%H66N~!jBElsK)0_3}NfL`{H5!v*b@Id@;MgkJhanvFt?#u(WH{Dr@5+so<_u
zu3O5F0~*M9PQU=1O79;?Sy~|lrj&1Wed0&Vd|lU^st+w!6^wabGoU}mcnG%=1y>d;
zx5sSIhl+;8l&}OQ%)Kf8voe)}%J+@P)D%59KEFAMx``QE5=N;`3<7vvqxR7|9zDp&
z;EcFe$%1UQ!J|=^1kiEf>vZr9U6_euphz3C;W3U4k++Nmafi#l^WJn_pmy<{=6}JC
zo|h+g7_A8+Z~42Bu1*~|TDxtaa0@5qi1;^md=$dY(f$*^0(2lr(7W#Pe_S|oj5&Cq
zcO!}kRCX+g=zxY~#tEws9=x3k7sh@HV|aVW6Q@>f@Db9A?3CieIjGOSCM=5m&Oho7
zC1`_o*DwE=0Dg>|yCZhQOAPln1pc@W+R%3~DDI9M1;-p&e)hMDW1U=p!!r(TP`emF
z;dT_jw#PliPCF%W@6&`Ti;r{=D6c7_xe20gf4h|MxD?KZwe_<;r9<@mKzl@x5N<HG
zza>?%3Ax6{SVr>c&~H4sEPj0>W;yWsus2hY;i?EZltqWEDvm~tUSYH!61L)Rkii>H
z9^;%>>Cnpk?BiKkQRLmdjR<L%MPa`K^I64o$WY$b^*UJ$r(4B$h<%Ym@5(;SwkA3#
zvj690xg?H;ksj427!)vpa?Or;mJVFXyVv?tBr%_=yDL;h5&z9A%U2p`!(o-xK_+==
zq=>#G&0Upn;-TY9oeSC!DKNFGqIVOD_Rp}nr77cfiJ+{%|FmISdU_Xc2Njt++S{CJ
zRj_pC^C|II9SC}P|LsV%42~YGgQ3r=*jN?OTC-6Xu4WIv)z6nj#{&yrpZ`-s;gAt?
z{}x@CTKNTUGUTwgg*&2dRUOYV_kTKcNe@o;1h;QUl1J~f>QDdu&_LzpUxD(W`VgZy
zdh|w+0{(AJq&NJYCJyV-Pai&R00x&0HQ%`^;s%3r<>jVY=xDZS<3yw(>`{&riPKlY
z@H@AsYjU(u(R@la?#gEH8kPSx%&d&zj@x_VYPE2?b64hF(g=!jO7_T;%4iTo)icV_
z!t3dU5t9?fus4&gLL5-RcaG{?<fXJwT<x&!u&gP3=+X;z8&<(Yy~x*m9-0`N{>pRP
zE;9%}U$kq@QWZVmRMD8d2Fjbkh1BB&jD8CI?0ZrbrD6n&c~{i%$CA>qw9NodqT~NG
zTvWvXxL>R0tBSiAA_^wg`%TQyMbtGy6=~=FR#@|u@t6Pp_<sWCP_SFPq=T-CihR6z
zofV4sBGj(k@t`>*g?D@sZ&X2>EmFs{isW&cS7Y0mTjmh;Wr@g9SHWw?p3WY;D2p=z
zC6PQ$=FmZBy7o3$8ISxsUnL$-#e_KOUc+8<xOk`hp#3!^oQuu7M`x76tx-}5O5NrV
zG5_J8bD<)htlQB{F%v@*i32;YKQ#wm`QF<(*$UWYDak{9wGmB48BCvDHV4078d^*7
z^7y-TSEf_30KU<6cr))|4q}CQng;vj@T2{kZ7j`vI6zDN+bU%aCuJAIYYk;_*A+AV
zZ)==b(EISt<z4_e@q2bhg=DbE`urv11y)RVD&Ren3^1{4npg4nCQK5EjnpmPfRjAo
z5jk4xTy~Or{eYB0t=?@--~KV6d8n52a0LNrz#rvYCV^vSOx=yISIDv9<hK77&A^4B
zLOSoU7<MT&Oe)kYlEl4lw+L%9*yo<~d1z1s|2lU>L|j-P<+N&TdM=v6o!($$7gb?w
znI{wCbmmERE{QAeKA6Cf%Mq(q*M*S6QJds&W{%veV|d&~)dU`Mnv}|`3*y+R2f@q1
zb7Xnk{;cj8WB6+Jjl2CT1!F}nSHBsUBj*^H5=Od>V2S4Gl3LG?TMKvIh$)#TlQO3(
zzN#2OXo<s<+#o)ba9}yR{APjlU5I!veR?ybCbVQ<xyOUT?K0AS=8Gh2N!d5!5kuI2
z;MBw#l^f|K8}G}>CGvO%>*lVVhOlyjmG!|}PF$7|8$LI%LTV>&ba`B304b&o!=W!Y
z5PKRbOUBp88mCK<^9lx#yiL4TZjc>Cy<ES=h%w@^ms%#*v-M$Z`i5hJ7CR10J96>c
zGoiPseP<q@J`f3$=TB9!;TD4t6Q$e@xZhjMUm#r%gqWFvhdtP^C%rt3VTl<ZRK9Ll
z;?x71De`5J9vdFA`dWQFh!qbX%kDpRQ5PPuU#b1DK40ZbfAV;l4Ns@4i-w8n!p)aG
z4io#>@YS+k>D2-b%>A|1Q2UM!=qY{ukav#_KUT{gmh<Am!C?>W7DF8n$P8p&5obsC
zMbC0H<-r}lMch5QwPB&Gvo)ZK9i>J7NQfHoVcS&wWo3VDkU9|*Tj9%r{o}e5r_1>9
zVBf7OA3kkxkZR{@UgyznN#gj2E($VdQMr%Q(1EULdyZ`z7w%y^xA88EAlkHr+r}NH
zLuc_;VZi`y<PWVJ%5oIKS3_AxM8xS3n0l+b<tYzNMxHm_Q?n6AJ{A6`>Z5_*(W?xW
z>U`+M`TJUqo(Mi1U)=v8n+8V84P(a-@?-NA=10tLL{T;IkQf}IL5y6!%PDILrW9R}
zl1dRrTY=b-LPHv)c*${YHWff02Zev&CW*%?ggL(p)8KZ`%-y55g7{!=#O2%$X&m}g
zF~`P01Imoii}7_%SvhUH{8@{NKN1SwdX8#AM3pSuuGon7w%VW0+sI&{h)%WbxE7e$
zeu}eT5kX<)6`4(;vUr|lB4mJ_296<4;y&S`7=4Z=JXb1*e8c9sdsWx}W-s@o;59Mi
zU}P`;GbN8a(@hV*d(a?%?0rb^Z3+A{!*kkjiz1dT_;uS9(?Hngh9Rey6rP+@KVf=X
z38x<0bow*Vq02DqoTI@e+;if=$zWC$+*MV`YaB@jN}sW!>t!k?s@ueAA6LaY9=>>n
zMH^BVPWiiL%3waL%s_F68V<WD+pJb-!x+`&!}twZjO5m~$fs(croTP>3DW^~F7IDm
zWpc=<r<-`wOA~dCe^ko4>cW8Xnc7uS9{-GZ?dwj~!k*F#_p4m>z*PL~%eOrWm@^po
z{vJWY&Cj&IREO(BJL~zNkuQq)G<5HsmxVN}Wei#qC^rCs9(}6ZcO|q~3sG$SPD6QV
zJ<;7uhVVYPR-xmaGV(S*-XgStjz2|j9t+rO1a%6MWaT<vy|cQ9YG!E|aAb@3t5?Qg
zwShI+J4O|)E--cddrHHu5NQz`y>%W*VP>*~8s=6qo$lR9L*<hP@bOJESQGhyvYBew
za404ly|vJaKK^Xu90Bb-UFBk*)bN`!i@AE22HyVZyh}3&z`#^sG;&rA>;AS1KK`kO
z2G`!$XDFG&ouHF3J@3?Tlcv7t`R6KVBK<;JHP0O0$ZDQWNK?avgtx>2FC{$S`@b{O
z09Qb$zbodDynB!BV-_{s&?L2g?T0+x<EQTyv#<c`F^WQ%gDTz}Q&#Eqmc@R#Q68b=
z77+W8C)YDr1s^ae7*up`La%@Hn4BmJxJv)~$M?80GETnZh^9#3(5}MN@IVXbq?Wn|
zZ&AVrZfd4%MZ%c2a?0Jz&H`2?W2AdI6jA?!%<SL|0Zcwnze8Z%%Zjy^->^NG$6`?}
zl_3f*s;vxCw!Jfl*LH%3O?~7rFyh=0@sSO43G3gQXU&1hGI3RePZnL+ZHfGBCM<1A
zSNTLYhx(_!icxh`EGlv{c^17)&h~|r^1TIcF3XB+`Y4TuYzO|Mh0T&zA|L691p)XR
zoZ9g}4@p$sTh;k`WSl(IaJpiU6F~fJLwLxl7*b#HFE!=<B+vg+%6e);z{Tdc>pL4o
zFzri$M0C**86B4S_{d2!=t|#ioKU$DqjY$J?HxamIgh-Qd>)&^RZ**&w@rdrwp1_u
zpzJ>~T}`3()3^ylSVt+%Y!JYn$pMRshF(&p{N}YZO%v$da@XUIA3uJStt+?Y=_6IR
znPvxrjUnH?m7H1PL0&AgHJ9!uWu1*PB<hU7{pY9pNk1;+O8#}?#+CPEynrR$h0O?B
zMWbF_QRcw-dwn+B6h4z{gQoj3+%`j@!87q1RW__uiVC*f`jvF6jBbBiWeCTY4~UKg
ztb0K-S2NguCwK1_gK};|cxqX3rD$RUiX8jkK9{rZm8);;UHuK<Eq`iVcqtS9{52K8
zAU;O=xwl=p)}s$@+XZuZav70Q`k~jcX`Ecz7}v1FL?1H9uibl}F<_$;<&I7JB)KiT
zXJqevJ#eGkfg9`$SX^{s7MiBX&KYUzGD$s<`ekqNa&?uIP<BJ(?pabG=y`#1rY`t#
zsE289UM2HX{X=8N=SfaC_Z*T(7k(^EdMiF#A#YE(_i4&6lG7KHnhu`Rfo6vkVkLfs
zG<F^owF+J)ho39<bMfhb_U#Ui{!=UDVBbRdp7*PykBaK2>MPp7E@*FZsd0tOp55x(
z{(u41u5OKWrD}t~k`?<)lT~uyVR6_1I}_px-G#A|4tKJ@HCO*xC7td*bow2(0Yiq9
zGHT4}z$s)W;@-DLii*gH_bf2u7Uz?p=>s(Qx4MI;G>QR}j59PdudyQ6@8?^yLTS*^
z#TGs-$A}^~T@sJ)X2%;ptehtWXkZ<*w`JxRBTh?51$Sw4;@<FMW>@{SfU#S!*0+-h
zmnx_uhxNI!c7JH?y%(CWbw)|trE>#TipSCg4)UUUpqcLtF-@4LjGW>4&5V0AYofyT
z^J8*b`%TVx4d}}MowHGu6^p68_F_d8y!4%Zw0c|}z7<B_a7bsvjD>`bYGy%<5~x;<
z@>7R`G;!;Geh%ymsQY~(NeGqq+0F&ese#h&R*%(sPORF@M`fo9;}sif`?m{fkke8A
z%=I!iE|&=YFXpoddZy3S?lDk<i~v?jStc)vnext?G>V~`%7?Mbld2GUdG^kX7eC(4
z(#=kMErDV6jmIC6s$i<X?9QJ_K`wI3fDMB*_UUpRpcSct@(IJ1+Cc%_bo@nfo+cHm
zwZx;o6sQ7+^=-N6Ekc-is5h=DWZipQ|32ZaSA~>C)AFv4jcCP{)6>x@i)_)^*F)!2
z!Ll{(30IH^hWb_&2AasDyM(`iowFJg{wZ;=(G|ngOq=SLsDRALR*KG_)ZnQ4*L+Jc
z34D|iJiO|ngblsh0xB}qq4ovq7u`)#NMqdm-gZqHOB;@l565YMf|^UjUF%KwdNF@v
ze6=cWaf|7xE6@aO5!z_px@UgK&JGzku8vl#wu^C0>)h8Gb0Ozs(B@=@FUo1+#PPYf
zjQ?mLXj=coOji!W9w{8n=+;7)+ZC$8Z|G34d|GjLj6BlAhYAfJ(y;HTbm9O0YJ*JN
zA4#)T1&pz{i<QUexWo5W@_s#C=ptGDm4%hC^sB|UhaB1{xw2~PTBrx*&!5Ulc`9Su
zvmb}9C2Qj<Z;`Z;jsb|j3}t1%p@K}yZe6}_wef!AY{bG>LtvTiWaw>D#hS(gGS~lT
zqv5sILy`B5!20J<NlCXF7VOLOf8L>u?Tu?@wecn}vb{3J_K7;O-xkV@JF1Oos}rq$
zd(5CR*rDdOp9a1?{3tQ7fsUKczfLgZ2gs!)XuJN_K&nFP_0E188i#$ibo&Xwd2%f~
zN=*~%$&tx?FD=X}yAVseXAX%xnxABqHSztAbWe*?b)-r$1X9<z(=B;&-@ic(yc0)A
z94%Hs*Xzfg&Azn&@8#L}$aN2FPY6tk@mECmrdoF|T}$BXpYWTBS4WoCFO3zla+nmV
zAFm&12|2%qJ&%N{p#!to<{hs#p=0m+N8TxxP&D2l@=IG4dA-M_CohYkum0D{;wVeF
zmFP{CXjMj|I_XobeS-Mp^VNBAdrP=?em>pTR0-`{S1+Zz@!(J1b8ZzpmcUW=UBm09
z0^Z<Sy>-Bm8U6cuYBOsr!2ZtCZILNCG(O757hw61^i7=n-0NroK~GJBYOG|D+04`7
z9pf)@scKX3+ORpWd=`?`xk*K;!@ct4oCdNaW}<H<z#J|V3xP4SG@3+hk9wQZPb7xL
z@eIrXJWN(RV>u~~qt^e~9cCRN{tnx437iC&ncC$g$03Sk13NEvM^6ySgUPoKu>$Og
zb}{01*oZmSQCFfbP7_sfwI4ZT2~dzIkLBqUz$<QC$3sue66LvR@qwmhV3BT7?ia(4
zx72v1;PM<1_rI^(-+7vXRvOpDzvtYje3j?ir|~&L;t})L`)MX{SM2G;&?q~ynCaH%
zwayV49)rx&b;j^3!Z>Yf6bsU8i9^@S=LnszS98*)jlf)ZqP_AU6GqCvwb6>2C1(1s
zb13Q<!97h0&Z@0z<cYM&((%+8VzlbAL}1irpfaTJi5yuZ{Rfmyw<k^$WA8S;WO-!>
zCt6+-Z-nN^sB+=l17TBy+Rn9wbWuYHP>`P4v}KB{_|;Ze?>9*(+kfaQ2{Hh8WA*Mm
z@BWY%B>lF{g-j4<2kr7WyYwOZY`6Z-`Jd!w0o8`H;^Rc*1;Z;oG=1Q1RGwRT{gpgc
z@ZW~D_&)^06Wbqg*Yx0p<<Be4=RcC)K5pI4Dmg}cOVd>s+@J>#%W{5CPA_>K%su6%
zMhOo(W9f8=E)-3TJ!LcKAd7W9Z|E|Q5~`1%#7zFs0l)0a$(!n)lQI2Lo5me~5pm!1
z>xTF1Ky80H>yT+4=_`}I*>Z4%I3MWLQv6;Uj&7^P$ke;U5vGmT%Zo>dU-k5x!tUBY
zR?e?59(hjGZ&luTqGW`y+t;#1^b;M_B}vEDr>}_Zca;+Vejg#)-II@BJV*z|GBK%&
zO<hFS&q$vXk6*;+=PR?`e`sK-(!8G|rH42c5}3HmJ4!^S>2=3M(_m97ABWfLKEn3t
z7rDsAQR0NV+ruVK8q9sI@G@E$Ao%>TCxbdh^a<KfcAIE{cgc6DJAxmH(3+TT|D->}
z2a(lk9bZj&b+UMSk@{!i(%C<(Z8GD8#MZGKwi_By{4bNQLTQNj!6HdbNSGjsKZYHv
z?p22%=8YaDjbDjsd)pTmFHI5!0WYn@1=WH3r$by@;5S0NB!F$Md5Q>PixgFHQ3EEj
ze*X#j4}x+nk!4}i3?anj&hk266|DHS|KaByAr@~<8Cw?45)+xiLkr_7usCXR`yb~h
zvGI?N-HhElVdv%lxyVWd%&2i*wHjkY^nptrx77a;v0EP;d~-_~xDB^Av&Q}<<WINB
zIGHRFQ8H{BPOd7!$vwRy({U5To@Wt%N>8m2Hid{U4l04!@QeO;?<R@S#=aN7HZVY$
zm{Z2RE=5q{`>`zLJWUMT61Lms!w7Yw<Eq|-BCLIEYV(<%A@+oFlgi^vFnaExjrbD<
z@RoXBSXw(rkjIBmB99q7vRYh)bQFMpv^rS#-U9K~?pz)vh83cj$Y*z+$V2g~HyRaf
zi^R*bp+W~z*?}?hJ4u+!gWd<(FxsXSLNDGTx22U6>^fEUAA2hYp@G}EY%13X)3;O2
zkybq5JbP{Wt-l<!oP5Hu0T|)k4BI3-13whbw@Nxu<iI-4s9~*x31a`1#`h*rz-pxa
z`}hl4$g$?F(u!vWrb=6m&q{)D$MoE(KasK^@xp2))Pofcsn|j8f)I=_k975!%7WpU
zi1?*r?6A$!*r#|-7-DW+e0W+w7WR9DubP)}!n2Ec#A5|9NZj}2h53RE@H$PXb1U+I
zK4bswGiegwk?;HE`J@bpL^yDIe&U1j$_=hf3eq6hCbGkrNfvniI>*!=r$E-eScY#W
zsW35hTjsikEO<N;lWXG^1SRXe4ThYuQ1%Em`JIpjKH=4^DZN4<N(fbae=G;4GdEU*
zMr2{{)%PW#&BEYyqa?*XNdZ)<-qCxL<bZKv&)*M2qR^rcrMeiP1fDZS8U1$hAdvNP
zAzMuX7^Q2EDn+Y+>yM^96Bh-z_h!Gqr`u9ccxxprB3}&zeroSwC{%=9Z#KLSQJ}(t
zj%dEuM-3S7ElTd$tPDk|jhS5+W#CYK>ZNz<|K;Nc`x{YN6+TBgeaPaI18!R6-6%sk
zJkB`y>i!9J=rCU0p<gHuWl4V}gI%=2iE7;)tgQvo0&afKEES>NGn&GEL<iUggD8HQ
zbTD~Yu@e7R35-q_W<{<0`HamNQ|gK~Jlk$Pu#lqyN1HW68D;cfrzfjP9E%?KUp!lL
ziBJQ(i|&-nDm};%b~yde+yJ7+mVZC&RtKG^nL97%*L(1);~BMko8jZ##AP;fO?V;a
zqisB*x1L+0bN@6<po?A1nK4NVu3Bt!&xp_i`QRLN%jaewOEZ!8u%JQsx%Z#-Z|K4v
zX;Djte1P{hi)8vu8kF+<YOr?GflH_Mw(aUNho84LZB6f_L9{;ez4MRhK+6$sss3mI
z3_6dFad*%_|9$UENYsMJwvV$_q$Mnt{CK!<l?EZs>>?U6YS0!~V3!eK1(d^LB1ogb
zbqP6NpLj(Gxqcwn`<oR!KY2-^R$mKPX6lz}dSrmf?(L~Csx@SFoHgO8)d1fZYYM{+
zabO$i2o_YdhO^Rr0Y|3QAbWI8Cq`cYzWnKNtzWW&Ph;M-Eek5Zx#J~^t~U!v9&>y;
zbI%GkYF}g;A5elaov*G#brVE=f>12Q$O>4_UpgdGqyS%9Mjo;|^pg3r%Nfd#Eg?BN
z$Aj5d4u<k8*B&;{k#a#_DE4xeK$+^;=dHV*j~DK9)z0f&y;SF<lWqY~M_F1YsnTGO
z89P#z%Z4#~3`?gb&0!_c=^Vi+4mEE+-Ww0&LZ6Qo9}M@J1NkaSwoOYI>ITX(wPbk_
zJKwbhwgDUyzeUZ>7678{o2|naK0MMqHN<EJkhGh8R+_;J|1<<L=R^4Mu}?~pekcLq
zC-XD!$Fswbg_5G&1Ac4}f}B?;%s}GsR=K<-CU_(f@00$59~<@kI9$$|Ld(H+y|k4j
zLib2-Y<ej_TDbmmQ7kus!3#dcs!Y>_;-kO)ZYlg|AbI<{`FmqXb&zU@Z{G>S-C<6V
zd-&0)|9fMJfHCCcN|<>zzb4{9s8(8uADdT(zI!<vK~c)_Lp>|aq(n5Mq1zH4E{=jw
zTES*`QF}VUMQn)l39K)kf6j;P`WWpzX9#ZISMT0B{hNF;Jdk+oCLgL?C}NUyG6XO0
zVfmHFDe~s+&RWGhKGcpmAZ}M<0P=NNRZK7D$nU95ExIjyD3oeQiIX(|#zBfu!revE
zMJqXH3pYQiZxMO3GfN+ym)(zdwO%Eyv^%~%*v^liJwlHqaO=aK{;v4!w+#3txS69m
zZ~d-?(cdFy^}umgPH(+G6V_3lJ(=L5pubJAUjUyTTy=W5_F{emuE~uUu3n^IYDh&f
zM~*Hm%WyC~k7PlY)~qL<>H=tUpR&-Xstcsdn>p8MR&3n+zcbf|1n^LQ-`JA|9q^ve
z4QdW#$L{m}bp0wpR5?ml;`Y=5sTwT*-y{eA%yqSC&lbWahBjPb(gEfN{W7z0T)0ih
z`PyvmM*Kej0096043~E})qfPn?UlV}HrKt}Vefm4kg}qbmQnpsq$DG>5Q<7#B&mo7
zC6Ung6b(g@>`EjvBiZxk-}9V5&Urqc=e*vp=!|f#)<?SF;56K@O<Dk>&8Lp~ypY7O
zLFuzoyLDk5=MUxIHG;UmusOPNQVNH}0^&Z%=z_Ua`L1jmVf?X6pZRoy3^qp;`+e(V
zz?z@_DS-?TwAQ`G)<?)<v<&6i`#c8lydf7H)Dgw7^2h%=+~l#Lm&b42F$Pc$yZzEJ
z5yNu+*C+n4uEqB2BR5pN7{DH?n$EdJ9NP<ydFVALqGjMGaJ6MXNo8oRUc3Z8+gnj;
z@IwhVy$U$lY|4Nbjq=P7?<7&BOK*6vM;SBXyyQA98PM7?F_ynp8Uyna-QuQHa8pHd
zY_1yveiUc~A4rzLke;%$!{Ta~I(5tK(h&xn>7Uu`yG9O=giLEBFx9al&GC_R0Rw)X
zUlBf%BaegM&lW0%YT&U-KHsu&26+1%jS}9t7K5Jrh^%|4i8{lhA^$e&0*~m^IUY_W
zyz$eawSItv2~%bL)`Tv+*(fyH@Mm@IpZVO8DrBrVvAlKGK@YgQ1nmUADI=wII!w)j
zg8p;WKAOXNfcL|yCmU2yCVW?xVz@TCIX;p-ou?16N32XtYgI9pUcUU|v=08%u;(&5
zW&r&o36gBD)v%%HzU;n3R5YHc6|VF*gk$$zq`#M`qjTvIyFo)5dIrbEKMXR03R+0w
zhdd2bx$Qkge4yd)R%7qXGsXbzK?%0WnrIK2_dkfxamVcX&dFjEplMa6Z{114%2rXg
z5P3QVa^}*<hD@Q|{$YQ;tQPVb#e3GV((&HtndfO*<{)cRS+K223nvb8ON_<Ruu=S;
zf7gE&u&rG>vx`Ya+s3ZIrF<$jm-BRp-n4|?vyWUVvdEY!m_#_P?zQ0a`-ngd6IkX&
zb@`jfxa-dZtFV|hdhW02?)L{Mv<z)p{6@yI>e^OKA2K=}IrND2CqU`cOwdv}8Rd`t
zdYThS!k#bpy_vRFKpi^B7z!X`W81nP%YhoW@KwZl+a)XLTbkvT9$lS(JFh8iof_V|
zx+`|}qZJ$wYk9P8y%sWbq`41Dt6&!A&zjdGR^UICl709%31v?7QalF~@o#kJCFeOS
zV7RY&ee1F&a;sLHQLU51kc#+L)^RJS{yHs|cu@mWFFEDCoRC74Zd=>aWCb^ySl-%3
zs$&-W-89Z1ahyrAsNH#QwZ2{GCAYg8*3D;g3EPRFn8U$m5<ym=IL0T`pr(rBxu2uN
zxdo7UxNFZNO)KyM-+IQRGM;hg6K&qegW569PPy#>nSQC>+HaL`_V$&F&pbI$@<hvf
zhzGcB9MGm@sfdD(x7O^DXGK1(ZryNgfVzS;_5B<QIJvVz^Q_boVfEgH^?MEze$nr-
z?dg+6lVIO?hSnT$;q!>te7_~=Zo6ea&?k+JT>)y>)=v}1c73z+*0F@{7`gqYc%{%f
z^!R7)&6C6}Io|I3p%$?A(91K*t`fM=Nol{Y^^YJW<|px0n#0*NlX0R#4AX8el1}DN
z5EsG?K5yeT2kJ;gX39oUwExtcJp62eXmGtaOWR@wbHbmSrP)N#-9=ic-{c?R@`J<c
zZ@ww)?XwT>FBL+H^OY(=rAb0?SI5w|6%&BT37-dr0{FyQS^uc#6hZBcrb=x$f%_ls
z{0tdbgW82k{rkU66TdD>mlnS;1}2xkZ?`ueX1{x&Oih?2p0-$AEnRC29l!PT;>CGU
z!OgHCBXFKzUsqwGdd3LkgYEA1u5hD8*W28#$VEaUyrO;TpCNdC%lhxOA~&9PD`!$4
zFB58G+l4864dLdk|K6St;li5M7Zw%qEVy{E?;ds-!1p+JmdY_symc>HH2n=Lx+c8;
zSL$H^SBeB}j%RS<=7qI-%TnyP$@qMmNRvLSf1qM{Dwq?=zfT4Iis3-gqEcS_W_=jl
z#WwOffD=ns3<mRNIdN>g#}B#hdZ1Tr%($A&iQf5F;>DA>v65Q3Fzl}fKjVmsN1r+I
z-Kzv{cYR*WZtAq(Gp7s9c~*}EjJYsU?pa3L93K+bvg-0ubs_$0v!z5e7c#CyDEfTo
z$9<n}2L2%Ff+}xzQFsV9vikNu{oO5y5!{>Q;XMOVvh%Y|fd}9JyBy>gFO1s?Ru1q7
zF+fVD`A@MfFFFM-Y}orq1XDjA)4C|dfbAJsVkaH=Fskt7clKdXG&WFkrM#zuYSkEP
z%BeLt<sVu5k138v6SHmBAE!gWfV&}U4?k*i&&Bc<N?=aXY3m>hI;@FZ8ME~lMBNM9
z2BnOoP|q?`h0aa~-ZOEjQEP-z^Zf5SzrRW2tGCsc5^vMs!Jv5k$c!+aPT`zfn<I;E
z?@vAc>q-MPmNN>6=S5I|QlZEuULH@Y%eF*{(csaUyOG@DVyM2!TlzxsTAVtkbAR0*
zD%?%Wr4+3b$K$^YTgJ93p~#|`#@p{y5ZU<WjrRo!O!DgWt%*^_*IZd1RYO#GB<|?E
zI4OxH;U(PHo~q!3D=I8jk~GLTC?{xgL>gJY+8wE#Q$?X^d$|{WG{}7v9Ckra7RmeH
zE2+7tWA%`bOIHgGYTdsksny8gw`5kS$|oAQJnP{3)r1bA&y*r_(iQM-s_~mQYe`u6
z^s%TyHXUSp%rs?>E8?c!2R{4LR`1;7l@V_R1_+tYE{vfPCdQRrxXn$$kCOKr@070c
zog;QTrCu59Uq_whiqJ-vl}wLk2Xx^`Ex)c`j|#S%R9&j<)IquAM1s>w4^$Mq1|^qO
z@j=yu%YH2yW;>k|JfyD=&D{q~1r*eg81(zBL7`*X4L5aGdjpuAjk>nZOanK1@!A<a
zpyNit?tuH@hQL=o^mf8s6TfeFZjKXV;CU&R6rLI*@Vj#G`6(X~K3nDvzU9ooVlN3T
zHIfPZ===4#Y^N4pl{aNQw3mTrK9CP>ylD!)?{|J_u_B{(efrZ%CkCD?xc5Lr(Hwqd
z%ZU$jQLtJst>8I31A_);HXq2bfWnNVYl?Xk%+<AUyBtqPnvd<Mv>X%W{Krj6GTPYS
zvLo~7JsRfDUJ6SGfDYEHlEq%y=zghyMDEqW(OkLQ-Ms)0K3mg1@6*Q1PoD_=`$$12
zt!3&&s1<};FMM(_(?)^z);*mEwXh-7R*pPu1to_={w=mr@O@RS1b43nQi&uvaeHe>
z4XJ-}-;#p=m68`uTdJWuPuNkV1Z&v;w_IK^l#E+%x?7&Qtc-)xc}#k~HAEj3tZ0bR
zLQIWWvRzO>>+#A<QH9oUR3<h&eg_F%Zn;U4MPzU!)~DMw(;AfO&A<Fm)I>h>KSMr=
z;>cK3_xp6n8dzzyTe|DiF)A3{6^{rb*MsF3Ck(71>_#JN-2PQgO?<UVc*%=56x<9X
zhpeDjW3!|iyDFw;25ySYU`I)<#0=S0&Z<+gekx=t<HP3>l;V*^V)w}#-0$?Ppj4Wl
zv(s1!<Avj?w#k!3CUp#ce*)<GQ-w3H6>#0uK;^*eVPfYVPO+MO0Q>la{`D~AFfZ!z
zm$CS6LT&nR=An5eG_eWG2h>Po%bm1t$+0Hlv;35>yCxI5eg3X1iIv1EJ5+!2;WcsP
zXLh>r7E55BZvL~wPaLncbL}sV&L!r0+PN<zT7coqxv#mQqIg0`eY1@4Ii`?)>On`s
z98R0FKYU&!j2n3!#UFa!WEKXV=bE24gHvsPn+P32j61o1eb()B%u_{tb;D+6V3_J*
z7w)nKubJ`PbeYK@UPT-*GCySsTX*_7{zM*Z>>p|F9e75RPp7-}*PB42%)JkpF<jW-
zy)6G@XAR-pYFG1htqHJeIXwA&f&)EEJx{Z$d?sjbCocRvVhklddhqcL8@A3_KRkb^
znYbWEQttk21Z|zIc3bROv5pz-p7f}bXt%qu=>cuEzB}q_Aqxwt_B4-=Npurzg5Eq5
z>4p$m$>+SUV~Nl&|0p^e)Jsqn;vP>g8UT-&Pk^+@B2gl8Cy&3Qp9nbiKwLY}0J^*&
z;$YT1VWxJ~$7bs=v6k3Zn%=1oCFzi-5-~?OJdu-@7#t;f%F6o0-1LDrZR^j68MB1e
zE8={F{a@myCEJS&AN0VV`+T3v$_$aD-gja`;~!z}7BDttuLnu3?QUW@GsM7{fYt+v
zDT1S<uY*ym3w~`Q1Rk3qLhQnf`y^+GCj**044rj>Iv1<><LnG^TkVtB9_k$NL!n||
zwuJ$nv%mZDKFttU3FAxd-U~$GtBFU4{TMJ{E85IqJxiR*dr{}`WQnlPtggTHj}D`d
z^*ph6mf)Ja&Mz;<g11?t%Hz(^L2!#yhTpT*+%xpu(bSg}IXG+{sVUOo{l=Jc-X-&d
zNOEv_+j};w2@ts@9Y%x7J=<Nox)+FSA<i;3M-EI|YM#k>N`-#nX3uBKC88vL{qW2H
zC&oCL2e8fSz(Ku~<-)pUg0(*0l2*Wt$G<V}UUblbhNO|2S9UCDYkGKmTPiPZGyD7L
zX0|pQ<ay{nYQ>8D9%4cJZmhvwuT;KYS)st>mBeTM+t{!{*EZ->s{o$AKa;>3Kmkek
zkGYb{j+9G<!vZS8SS1lP75|M4oQZtrt9v=H|9DT^!B7#rEW)%L_acM6Y+EMpPA>HS
zl%c-8M-;37TX<*mTMITJ_1(Vt)jUHzj5`mB<G@LdCkfG7(DKc2x`^P#J>t1t(yEg9
z^5ViqYZWc%uHE7|U9<-8y$V=1oR>nkSJiLD+eq-hDeLRWPXc&bEZB1AoDAxYTKt~L
zCc%zB<QIE{gfZ6O{1-`8c~m{F+z!zskbUqaNN<w}Mk?K@e;&COKPFXueRz-r>n=-I
zoO&XPGeV2>o5z(f=XUUPPz(tsmo(hfY2sM3U;lnWhcZgqFH{*7kf5!a4Lj;2FjkO|
z`t78O4Wo5m*Uyl^YB6xs<eU^{3%PuYY*)iUE>5rT16trUmdv;uEQ1A=*3WIDHBfQT
zQi&u;hEL@^F)c^r@Js{iHwXPyzu1-U<=R6A`Ph_uo3a&fI^1-~ZdnVjhpbig8lwQm
zAGxP#BZ_G1c_AdYnS#GeIW-o{bf8IICzzL}j4xYsFYrCpK}u9f<Jc!Ec+YQMSvabK
z?p;tuPo-hY;NmGqPdb>sWVY<8Q^kS&V3U`R=orGyyP_S!0GA8)pT;TbSnTji<46Jn
zzuVdPvzO?CP)C-y<EnS8B4x`T2VJc3d7pDYRUZl)OmixyHSt=K#qH<Ay6Ehx?`TzJ
z0DPBE9=6@Ag~ogpOL=?raG{|rS1{HHO0EmVUbsuftD(HpTMP8?_k*DHTf0rbMLsD_
zr;~!awS#q}AFuZNDZeh+Y6g4>F4!@ujmZpI%kLq2h+^9Vrgm6>#lFGoe9by|yeF9)
z+^36nZ~PlQcQT=Gi^jQ>(^O1~shIH>(#6r4=JfEp0B@W9!?ymVqMczqjbn_CtV&KH
zQfI8dtkW#mO^SwAz1?4K$<pxD!tR$A&epK;lL3QkwZHm#gj3N71^G@TDD+QQ!<*Re
zXQ?q%yfNB*mljUKG_NRo;Sd|(U!33Yt4as=Uk$u6+o6VMvo>aFSKB~~WKK-%^HnbM
ztrY58C?hq!UCaKD4Q!R(7NQkKK~fdhG45D7?6_FA<Ku`895z)9r>wsB9;;o_1vBEP
z{{CwiSDg*~+<5$j#BLIjD>Y)x6a~>v_TlL9b2jjF<S-81(ZJXjDVt)e*zrKDU74eS
z4X7TCVA;{8hQ2EAoqtwM5q{}mY5VJ}A$gCID~($f<$qFGt69Gh)t`!{_Ig^wOZ$V`
zUrm&;((cK{_c=|>%mvjoQyo^&(vbArb$l&S_E?v1J@JRxN?#<8cv*q-NDSM@3v$>_
zDKEO{ImN6S6|6Sz00?$=@Z7OW8Y!1`*-hi-nPwNP=UKM{$PJ2gc<+`#h3bqFUD;)3
z?wX;rEmcgIc+^l^a8(pL@#B{fJr+pyn^-cevjoq~D1|;AVH9MG{P3oo1r7y%cDwe=
z0<Q1|?~>fN2K$XKezsL$g@LFFgI0D6cv-k*Ly#6Xs=Uq9i<D-CRM+PnL)zxxRJ`@*
z8c%kdtlMNL)6D`KB)eLYcbUO+BKg^g#uegxr<wUsA`6hD=2jf9nL?!05$}$|IpT%7
zueI4)7D(X^ohWQKfdft+H<}D53Ef94w0B!qm__9W`HfUep!cDio9ok2f*Dp79~rUC
zJl?l>!vBylyj!Ogt}E0>aLrJ~)C-oFrG7H~jc<*BD*x}b{F`rttKIDafvH92o_arT
z0Tm+<JDOp1hWUxu@O9tSM!!X7{Esx+t5b&XjjkwF_VgaXeV|HdWqyG<+WK@y_J9G%
zGOsf;9uiC{aaH=#%LQg_BeP|Xy8+bn$)vx0*2pZ-$(;9nvcT+6T-w(5S|5Ji{LW%?
zrGsfZ`dlcid9~kkVsovbK4cF$PqA<BX14T|%dXd6WM*wD`5{=O2QT=HjG`2NGtW+o
z^@x=%G8cC4`Itb_gT1G><agg0U}g$jD;+z!#N<dfUlD((3*J$a0-DRiOqb2Ro$Nu&
z%>7+~zi!iY!NTyB)0pWP^IS}J_}z>ZX2E}|B8ug!`M;Ik^Hc9H)8n59l%8OLg3K&(
z%sK{m1U)}}{rv<pV0tK^z>O7-=EZkEYo^122WxJe@tI^At<Qb6(~1q&75vkB7eI%`
zdG9<cj%g;1OHtg$jU5EZ<JU`A=}>%VLzqhG40G;?!WjQ)4v0!f9T764LA%q~x*gGT
z%)G20g=KA=aKIz`_njyz^tPYv<=e5qtdF=sob%v@D~+klEw6RJ(R8fI)@zA5$a_FZ
zV~z(}bNUSfMRnlM$6tYz=oKdajaa!uwS3SVmAGKEUmJF|MGQy(Vu6F<rE4C)=LdcB
zWEFZn1?HQ)!g!U~z&nAnKWbhO#FRa-%a{TexRc){9A$?IE>of1PlTaJe%X4ekPIGP
zN9wu;IiUO8LPjT>D1864pl(Me17E{qchwj!aM*ou?M$c`B+J~n)?B3pSG_H4&*<?$
z@wVQ032q5^SdmZrwp9xlx;aLH!h9gxCgWfHQW8F{`B&1wrUgOw95~#i_`yV_gKu+|
zG>jF5Dju#P!M9MeD<c~OA*4ei;&`qssQNy8@Fkf9k7)%eY}<sPT}asIYP&qBEt*XD
z1(BdG+|lJlo(OFA4;gx6rU-N5dkWe8NgzmiswE^M1}q}Kdi(p7z^O*^K2IzOc<Q*e
z|Gq8`v?n(kf*n*qcI(7|^HUO-9_$U`w2_2+FHQbrzE*|kl+j`<ek}-5@s{Qkl!l>8
zW$d#a>X59Y5Y?Tc1rj4QXS5b&AfhBY&TLr&w%y@=``UsGf?8XHtOVs@-d+xbDoJpR
zQt!s5LV<lj+IeBNYhfqz!q)0!GFZMb2-dRF2AjImt=uk3@S#L7XnBt|bX&RHTFlV_
zyR@=j8RwKCa;zvNz=jHMo?gq**+7HuRbGFb+f`tRXLk%;kPdxj9KVj_(7~mC4Of<~
z8vIW37Vi8@hx^wQPbj`)fMVNb`-yaQIF)pb?D&QO%D?85$<lhD;bW1Pw4ecza_SzR
zkLyBS!_g=rT_2pAVkKO?NibeK#Pe864~l=B<d-os1b%YGSVx5x2<JynrJd4){QSUY
zD_q9FU7k1;$w>hd-w0W9sU8S;1}X3OYXV04aT!5++K@s1n<ZVK2Nm||H49^AkXx{<
zw|+G*+&+}4$LXO5&l}f~@}?{x?Bss2lcH3(wO3B0yjT}bT%}Ilm|())zAH6~MO2vd
zGpLYTo&RN25nt^PKodpt%S9d<eAC~&+;pA}!@7gFPQSH+ssQt@gVHp(aiHYcb7Lw{
z_dUCDG|n1~l$y6|by6WV@o;|EI2mM~<*ip*YXiI6=*pq4RM>E6>TpqjCYbsaj8o3r
z!1ooCeS44Tz<RFN8ENlSfx7b{Ph+zUoNCf@w)WMA!8w&8GpZ8!)xqKR2^(;<^remp
zP+;4Of*<WsG7wOHpS)?%214Xz1?Wjy@J?h~k-mZ$xX13=w^(HZT@LmRZC#r1q$Q*N
z-X}hIv(R}z`=|}LvIv|QR?q<1!_{V1oh)#+_o&n^85{7ODqkFQR)hJ+&pS?bj5EVI
zjP|NMv<9miNvEu1RKV7i_k>UJJLY#$dW4O>H6)yU+cxz?3A_W9YzEzb64|Zu%Lb)Z
zkYexD)G(j`Y8zi0%zYXslEi}i&Ka!oG<f~}l5|;c{hp~Sxp9UFjJhd5RRWNcFrhnp
zPzsJ$H;XW57Ko<xsZX{T0(f@Kw^L4tL)_`N6kpX9LhWI+cW)RIj2m}^9DXkXDRGU<
z`%_u)lAY%z!84X{Yy2Il<&q$zB`@bxim~FzPdq(*Yn7YRjYk+fd>|q5o^8sK6$6J^
zN1s-kgDI!M=&2!2cyxk&QwNC^Gv1CJw_p7~eLMmm;tbf}KS^zeiQg>f;g^@|qG|@@
z?t>q<zgc3IO^CdnNMOPEqqEgpcbkH1!;5#$%`?o(XJ_1*GAuaLb0z23Z4*d5`ighU
z*$HNboA;&9&MU<FXx{3O5o5>;+b^J3G|a57SgK`)E)##Hnw-v98iQ!pHJuM0znE`k
z1rKd~xI{eMzv=b!%SK?{c2lUov6cDy^U6#d`x22Au_pcYgdyCz?4hh{`i7}4=R<mN
ze377>J-Khx!w_6KJordeX@rSRSO<s3A|dJfBF3%K00fDb-=ZVl5pUZL>}8u@AW|#d
zy*W!VfczGzZA~`KMAs{-?YiX!!c0Hr>AvgwFnu=da{TCbB3b<7v3&hSg2rw{DiPF&
zqy5Kow@>sCi`w}n={FY%5Bsx+oD%iGSfDeqEVqxCSUmpMz+#C={cL+!luHl#qU+|J
zRECJe2ZelvBFlvAv7-5bGrDk@?+>*&e1s5UQ6JY=SRp*vdfh4oR=riOU|zv%oTwN#
zNV!30LB6_}vFNJ|h)#aA>-xlB!ncihUNOdkVlz&Al++nuD?UMuKKqYQ{?vAbyPg##
z7-b<jrF2;Tc>eZv@)XfrbyuRcmJMx1g&kNn(&1s(t(V7|rwQND8Iz=bcAPhzVN3Wx
zgWFFw@P}WVC4L=|sg)#g;@#K%2mf%;z$HE;w90RukmqUPJDb9Vqvd<bx7$;pHJ4jD
z#BGsSSGqzt$?{-a+s2dpX*!VpK1ToX?qwo2hvp{T$ctQop{0($wc+QQoP(|FSuod6
zRdKdt4c0gO_b_7hK3n$RZ`v8jiYI-=(4|%Y?`<JBh~8WE(}jQkNUzwi)SVnKyqXiA
zTyzjBk)(j4=nGd-H4aR9x%uyg^&%KBuEHyKkqi^TBKG3BoM^+>+ctGi6t6fQQKd_f
z;eZ_%yR$tvQnw3-8f%K9WXf~~|9vgEaVJEOOOO{?(zC;k*Gk|uhEX2d1}!+GQzr3X
zkq<Y<Wii%Yl)|XUnew~^65L!*+xA6L06pzCU64L0gL^aE{<g33l-4IBrROb#;zg|I
zeKO^6jo**t=1U}yj<#fX85PFw4Jr?Udlc|aM30%#2@<q84gZ+27sW~Ay-(I^E8&O1
zr<{TbBzXAAz-jrV7*_r{*`Rq`8TXus{@9mK0++J_#-^Jk(DJ-nTiK8b^6PHSYW=h7
zt<5z{JNc#XUSW=0aj+UrS6&oL+@b}0-dz9v?YA_F+`s?NflmV``qcdNhqb`ur;YfB
z9$9>+bn<3Rg(jM#;rPABWH?cCv$l|30blm*T4J8i!cp^6GL%OYh+J&w+2WvxfwC9u
zceqoKEibZTSHCv6$i<$mZB@d0fmfBIR2`&Vtm<CbO9j;(@pmKSRM1za6AJlg*zGAH
z{zi%pMopV{83w81R~ygGQ$ci`y^E%uY7DUVnGh2ApoZ=12Gj~28K`=4%iVoDbYWw2
ziNdgs23jV|Uq3IViz(SR(*7g#V2m&P(}_!(n8e4!5lQIcIsaH;3nv3e#5;E>lO*KZ
zkoef&Ru7ePgE^JhjleQ;ee;Yx8S6bdcCcO3L-BZ?uzQ`xK;PP<_$r=)`=&RyZ(8-x
zh)d5H!JkZFcSM23u{+xMEUQ8EL!2H?n&~9Xd^U$4KT@*uuIS)ghFid9Aw6{Y>bzmR
z(GrRaxqHVvs7T-Taa*X9E^`0T-#hLD5Pcx!<Jea!4yzR=@mn!)ch~vPBu6XI&y^IP
z6{O+LvxA9c-87U)f3a3w#u_5IUDdxVt@`Fbj8u4oHa0!)Vn)5QhJ4?Imu}fqe7@Us
z%k=|VSQHX_G1bKehA+1K&Y9FfnRr|Kwe9N2bFOnnwQ$udb2QW}*mUsef{UTMsS38#
zG7K*E*uaN2FVe-&6y$o=_2<PN1ymf7RlhyD%2OW$v7P(K*wNQhTwE!M+Qi-pa*GXg
z8;=zCHj?m_IKSpdzA%Ovim3YEw1NKt0096043~Exm2DWt?Y;Nj<2andImce_%~5Ee
zsH9L<MyMnWiIk$qY6+!M*&<uL4^d_sB7Kz+vO@Ou`Sbbrx$gV^T|bV{5>s(Gb+p%e
zAIFcIY>1}x<>{W?bm-Rl9@MyB6+L__75XrK1wVu-mMo4~Le1qV-_;mpbZqk2ng-V}
z-g^Oi!Ww1?DiH=huU9If=|rb0l6*CmDthz3pfwA4d$T6&)E{~D?E{pp+Wx_U_Z}VG
zcF_Wii?62#M#v!IuVLoqJ+s*HAmayRYXA=8I%D!6iAZFpZA|M+Si&o|CBcgT6%8X|
zIW#e}k7+pZ;OZLo?iv<5v5CRhfBmXgT!qo<DXkM7>6_SCq_x&39t^HHx&Hi%3!s;}
ze;&=IGQdyClvm4&=AahjUGkuu2T9yBa8vuo01-Dh%ttUY7%DPZ)OF=RF5_Km*aibQ
zhxUjU_?QBB*+UDTU=|c5<t!uig#q}LtuOQ6F@fW2sl|u?FrZf3fBR2fW`IOxUXlEE
zW7zZYC?zO-6_@_TcsyE~0WR`m&Ro34kggR)8TdAjhn4asv^Z^IBaasR@*Iuef!qUy
z6P?pIveka2a&iMBo$@pj&N75|Tt#<F-i+XxKHG1Xr>$dC)DZ3ua|S@tN$jxe?87<Q
zZZF*bv4#=ZlK4XG3}EkP{;rn0U-0KPF~3ByHEi35=5yHv`tXLcZA9F*7Js)}%+0uI
z6{}eKZ@-9;K9~>QlgT|@jGZ3(zTy?WiamJM-+1nV9&9h?3MM<WVK0B(SSxZ{#m-*!
zo4G%#3y~itb)8MSvGcY;a`q=zu@?;ua~6kn!QqmstNfK-EdK6U)gNW6Sn<EWy6s<R
zkhQquwqVL{?44(S^=;A`Mn5-abj6Ma9Rn^2f0h1V@0KrACikpiFE@7i{b;AcE$sZp
z@2D|sZ}Nlh<JId}(LnH&{vImiJ6OK&fAbeRG=|^$`FR8DVrxy0{6>K+of-bGA=8*^
zD{IL~K?aa;3N+30qySfOXi6l@3>G{Ps(!4C0gh3<ZxqbvfWnh1xq!Q~*t_Jg^8r<i
zkWsI4IQps%B&tyA^r`chfwGx<R}B+fI(cV^B%=d&o>{Kbzb{}59y!Jqz04quye|3%
zYQxNh5Z=brB}~PfHSDG;D=57V6|~7E!zcD2`bVD?jGe&9J($P_7db-is!WmK0;|la
zll#^%HT`Crx5^w)YFjB{WJ-ecxV;Cey*DuHSdQ7nK289!diBmEEeOi^wd!lf0G0)Z
zFFbAKhE(+2@X)j-oMt?9oH3FS^0uXFTm0dL7lik=cFvl>I+eWY*}?>;&o-{MOAA2r
z?ahc?EksBP{iS?dhXr2y?%@qMA_&~dGN&c2iEzuy!$_ix6^_zco)^6p0yuLZ{7Huf
z9PYbIia*2-Vg`vf7pz6#rGNAwm$wFZcXy0RsB=O}YhzORlqigb?X%0}(12&AXTDOU
zxuI7!^TOHJ;*frsq^nR%fHt0$rE?~{KoB!M*;FbCKkwS#Js3rR+fhr5#W(n2zslYk
z#jny}>!;X|;X;73qhF-Iu?xaZNnh<R%5u=#T0NJxg8%~Rv3HBTg&^0`i1gP%0XP!*
zyhEG_@Ps1x+rD2IPIwI8J@`Tq7C*Ddw_G4Vk8bgY#BfoNvNsyIDWMFE6&ubU8VDdA
zt{tvsBo4$J%Ldmh6$p{!D5C3XfYssfFHsVbz$mo)%b0~4_+H$Hu5A574cC-Gk+d{4
z)OMe8Us8u&rKI-obRskz`)i>|mjy;dI$c<&0TT_Qy(w8+xx})cD@c$Bfr$3U^!u8y
z@MG_fYeQO~DI#ohdP4zha($DF&XS<#?14eeU@}O0gzbK`O$lzPPw_e((1z)YbHUL{
zI<UQ<`eALFGVEkbYU91F10O~^w|nbTK(l+7Xz_{)%pAymnSGK1<p-sY+J{o1SKv;p
z*-<q}NIEBJX+(wU<7_nweKh!4p&~cXqz*z;%wbmtsBkbg!<p%f9#B`(rR#|ra8j^C
z)5wzsELwF<y)*+b^j0}i5J3cCe8cf)F%4Gbdz{9Fji7yW<)c-NCYTinuAQl)fq_Zp
zC2L+2$O@a7v+2@;Q{ks}rQW2$m8{#x=Y-85WMX7qw2=g|&1TF&JT%D52y2m(#31X0
z&ZQj}$#5mL(R0n53c6W4y8m4TkiMSO8$VBmSI3eMG^<en+rz116=(qlky*QssA+@n
zrvo-gceG(8%uj~J*b<ToeExpp+IoMow3j`p1)mnZ()tE1A=>JPJ}rw3)Xcc|)oTQ(
z$g^}g>q`el_sTOu<0J@AqK@r$RfW<AZfrm6=)kmUuoC!J3wF5RlkpXbaKwAYp>CQE
zAFuc85Q;THMLL^X^pFflJWe~hYmp8kJNYa<%!pw3?aRfA3Q_3xTldZCp~DP#v%h#m
z08_Cwn{ao2m{+V^G|ZsGSrb$uJgf$vYvK={u4RGp#+4GX4IM7;dDL=6QWfs{ewVpt
zwusTbHhE<ASwaNo{_gc{%HXg~u1rh34?A_a;ECaJOPJ=CRi=h2!hXf;_@MA7Tw*xx
zX!n!_Jh|#Hcg;;6c8dE-42_TD_eID~XM-)^uHy3vmw9P0vv()29+=0q_SsiyP67;y
zb1tM-O2ABcomWuZ3SN7v;kafHz|xBp$Js(rP<Y&x^YYpTUP$}tv(S&h<$lqr+dqUL
zGh4mE^CAOMxwLprYRVi+EQGRr=>lNt!Kdm@VMKdsB_>-~%pvIbEq3Ym++ZgcC`!M?
zh^l_vGdrnl28S79*)NB&gO!ThpS~zY6xXs4&ArnUuI{rP^GRU_4kZ(d2lkBUYOSM$
z(*+Yq^|*gAUxWdSj#mF_U12~@+f_gPDm4ZdJ&uJFBg@zWqStHlWCkQqmy$`EGXf{?
z=!puaIjmkOvaLjs0ht+Z+x^DG2;MaGao(++#Qy127UX+v;-8XTl!fCAAt>drPt4d5
z))RN&bjY0z{8)ikbHy(M@ZCJ%Y(V&d&2bvw0l(MrvG|tfbRz@!>Y(A371)N2Pdo^@
z;kb?uH5)u|xvvjLn*S@`5tWX$X*ZZZn^?nr^Wa(jh92bU7VumssmJFxKmVL6S;Hmc
zgGJ|k^*~O&YEQA-7u-gr+1)Q^4bQNY@m}uMg<_p+Y5Zq?;BBo23nrh}@ZYswGS_$N
z!pAvVH{>;dXFa~$%dEYQ|5eVc4SP!i3GZJ#J=iersPd?tw{9K3oZ8=&jnP2GO8Fu0
zuTlJsPWt@y*bRI<!qZ^^r^4h_S)Ql%fAMFvcPffvH*t&g_uuwfQNhr~<8{lPY5YNF
zz0K*P4CuqY%;elQ3TXG%UHUQm4-aC@^gAKVh_rruo%rWWfuEdFL1C%0_^7}$!lzkA
zwEz9PJf%?`P%W2znQb(Wr_gL}eI92*f|U~rrWbWU&LHNf!sr67-=8ip#lnKVQ2dhU
zqB`*8dB<zd7fZNUNPWr>up$jv+xxK|+Tc8^bG|-&1+N!&IQu4x4e`%sjAuV41Gk{R
z)Y*VF{9Y_nbZBs(D1Kf};jMk1+`A2`&u!pc_rGhP|2UBk%Os2R7Eeb_rh~lpGoa8e
z%c0n6ZZz2cQcCWQ7TCnhr)^weME+G)7cMmOB9IQ*b!S-<?8Sx}0$Q2SZN-gYX*K~=
z7WA@M`j{rXh`jdrsul|hiQKt<kS>VWKZ(Zp^%9{jhposej}`U3&D(!JQwS-v1gm;^
z5~25SwMD}Yb`*JoXGK;@1Wkzk8I_;YfREjAmfQF^(R8pD$)-{iJy$7E8BNvzp9lvD
z?PV@xX|&oKcR?IoC|@P+w%Fo{tne;AeqL1I?XcwPBZ+=xu0^UaYJl9%C)7koev~lc
zVySsS8qJqi@@IAuAUSKo)oe%r#kAgv)~%IAnu<fToo@&*RalhWVIqWz*-0lWMHSG?
z!q1jkbp-gj8j#^xB#cNmZ!~IqD<bK$JATym5#Vu&BdN_o6xAp{c{tprgyLkd^$i6L
zXfN@7T`?zy#vXc88h5E6au}aQbc_aEix@g`w^;(6d=~VWeNYuqwpH;T7bC(SBcAez
zIw{2M#CeG=Nge%_N=o<bB0^lI@y^vBGH6srefzwF1}gJ!yZfX~6WGsb#tul!BbI|h
zqW9!AQTlEMk4KwYuyBIb8uvy4O^v>DnqAOBb)9N=7|xJ^JRFN;Hx&`L8f9+f0~sBw
zUb!tQtpl@Dw4$or%E<V{54&tT9i+GOu*V-I3aH#z<cWH&f*O0Poz4>}$Tfd?M}`v>
z1_K`$MscX2OB+n~X0sIZrvK}g?JsG-kz*B}7@&@V8kKmNA5l?ylJDE2hI%k>aqP2U
z3jwX_HCnH$(GXGWteNv4eLzE@)fF;CG=<%ESh+|;&O&;LY*mJ!d%;^##zhm&H263v
zJfNW-&4)ei*~U;ujlUFkRtxPJ_P_osl!kT{?p@iPWeQ8f?V|aCB=q9^_{1hV4UHYl
z$r#Nvhs~HB+ikSTi1kYNT(un)m7ST$;kVwp=Y|&>HcH9Jbe`Ga=1vL<QJ8%&K(>H;
z^&-Xsb7b^O6?^%dMF%Mx8>L*`uz<ziE@!02$mr%N6T2Kv5=s$ZP>CzFguz&E*^(48
z5?X#a;ZUZ5*!DcVVr)c*tcYI<dH+Z#AXmiFi>!vE!Ma230UeG6Sc5VL37sg`FMV`R
z3Dt5q1$cj<!+_s23h|dF>e*X(XhBmBH6(sW4gXDt{?L6(8W)MEMR}5T=9)MP*5NGJ
z_&^7fSLbyUrwPbxpJp=0NkOC-=3h3GMh9M8X0hE;9m%OH@0sA`Ks{c1Cp5M^)R+95
zJQS&l^p<0C13lOA;Wp1h8RM4lK5TWszf2k3HuCQm+BJ^*X^m9RT(E?g#!OR#F-7!o
z_|QX@4=?cVi#8#O%$9J~ZC6sRx&j(0^C7d14PZm<fqQMPT7U<;Z=A%a49b>b{;7Z9
zAND@?a^YiE3n-?zU69C^MDK`sxzp4|EKzWN@0}Qc$<nwZ)epsxBKc@|!=Y7-t!ApK
zW2?T`zB?-Tx=9#ut{GM6DsEskDV#5w6fn>#K98kq2qG+7oKV@iiA7lQ^N#76L&1^u
z_^GSBs56}-Z)^5J`S?J7nxh#ICMS#ks&k^(|Hg#(dNRN^5f<^)bEfdrSX<9Zj}--I
z&aDcWGr&q+eD$vvCg9@s=cd;SM)X2lAmCg7Cbp(~hH<>t7#Lp74%^PJ08c=$zu{?e
zUK&rtHZhr=n~w_QjKQPAz}Urh5pRBX?I4A=fvKlge#-MQ0=Aar+WTfRc;UC|XM;P|
zu`sm&#p5pxL1+dGSidrkn@431RUY5+O8Xo1a27+b!A+(^lYZmLrJr64K3&B=--%E-
z?P>r?e>@Hfv-RNZ4wavSmshZMNgejZ8htn>Kbv8*(1fp3xIKA8Rxk(VYp+V>^#LAR
z7pHzs#Yr*6b)KRtSWtIfq33lyP|r0bo%FB6`1fzTeeio33n$C%Y?;>urDzku{Hjmb
zoPcHgc<(Y+N14A@dQ2DQxEAsa$9gdFf=-P=?iGxttnN7blLoUfr?Os^_hBhKX?tG!
zu3&jS6;qzhTRr)pqn9OZ5L4Hb4d1=Eg5kr@yN0@`kn&8mb@con?6o4daen10c28Bm
z(d{4=__UdJpGhCX>i3i+{3uw%{`MKWRrOL}gRd|=I{PnHcpJ5<d|StyU7rsR`ca^+
z+}+)A&os6(_>zgF(I%!=7_RkoQ3vGP^}^aZ{$VxOA`Tw#V*tf~mOGbYb%6aXJ*&uZ
z7JDDZvij7K5oG!nUB~2ffbVT|gwenpcJ&Zx-|%53XlLBsBYQ#{?!4D+4~bmBss%3S
ze~e)U`89*D(>Y{dJ>QaRO<ThH99fKyeA()sSL#Onx45}|TgqI*<}xM`@3z@z#RmFr
zKY1&4Nr0Mqk;>RAMxQqP`u8V07&pc0i^ga{g1`Lu+~PV`$zRwSn#BnVe$1j@dNn~Q
zrre2DoB>?VcXPf;=7xQShF%9PHQ^*v8c&A}BmA3=R`D$3g%G9G@5DkP{1DOGBaq4j
zVhyzG`D_A!bg17(m5D%B-oEi<l^M2OJ$&o5y&zn17#eqdssT?|&ez|#%nAl>pECDX
z2tjuD#*Xtk8jznnUOB7D4pL?vRc}EA-n@-G;N47sYIClKx~m*uIv**!V^S0hjnD3m
zIzfOx$vX`?XStw&KYTN;UK~7~IW*3w6X3sYb9%HSFVI?j>NJrgv=_5Cn@+34SEVC+
zBu?<d;~Vh?b)(X7K5fxhvt1piPc0~K*9Cx0NZg^+LJs6m_!48CI%IbK7XITd1d$Am
zvE1GYFfk?aeEEYq<Tod&o$eC`N)*k`yj~HS<TmbqTu}$#G3~RCQKC@T_sq20P#NA-
zogVD6A;4^H0Q+_;aTwl=_*m4W0!{t5v=?6!z>yfF+f0-MBmGm&11Hp=ebb`0%3T9C
zWE(_h^|r3E?wnVGHUZ2#$JfksiQqnw?Y_-Nb}Q$&oEwZp$PdZqRNKns$liqap*8Zr
z#-742GoT4YS4c~NiCVz??{<Nxlp-W8welskkl-xqK~91i85B|ElW#ssU=zuBXzryp
z$R1K>=VsLbyLa68KGrG2k)2lSuJ3eU@eTDHk0J#m!tK8`sH=i(-st|_&nQrBW;kZ(
zM}?K&sUEvh)!=09fRn`uDwGI!zw!S?gY1g?Q@M-;;79RM=cQ;+TPG}Dcu5ar#A9E+
z_SFFX*VL<r(`az_$<fdfTLVZX2-z{#5h3ktP8!D$4N7j=ciHM2!CbYiWDSEB#5~!}
zWIRm+xtnh%1WZlfN=~SNoh%8MbidqmDc$ncetx^7c4iRB__G@4CIjhkZ*3`o284Zl
z4f(DZ1ezXw=2y4nr<XFa6YQv<!Nd8Cm=AD2qb8t5R~s5`=P_{*C?I>=#Ax%j1^l;9
zmCM~t8#E4-e6KyP4SutHA`d(*A<f8?$Hzz;Zn60PQ8mzl(}xJ<X}ok$BxwX4Zy<x1
z-|3vfX9S?|b$l*OphIXN%Y`^bGN6zy#okF3;5e|^p*Khe@6}xjRts9t?Yw{Tp`Icr
z-ZgU~^I5@t^HPdno+dP^RlfuiX<(zEn`C|~;O99qnnfhS*ey(i?V1S4$L)%FJ5Gmv
zJJ_ikkp#FQk&yOwng_Cri5c}dbU2Y?fgV+>f!Z-|V)7m)c>iysE5UxtTVEry+}|p2
z_p|o)x!4&jQs^cg`r8sF?aTr(c4ZJ*I5xTJ(S|9Vl5o%uumqpX#2ZrDijcq+QaR7r
zj|Y9vkFFTE09!L_w#;{O;ACweWIyu{*Un<4jQLu?__Lna6Hd~gWyu+4Ah?W|Zts$8
z8v?i|;>Ip4C;^gIN1kV!Y~WgUUD1(V0M9OblKsOZ3a7J<5sC*HP>Mx-`JXln%3e&I
zE+h$o@FYcbgp~<t6^OlO=`jZ_pGzAvs{9}@^+l>Hn+eH^TSXd8nnB!``YNI~7f5~2
z<YgXYLVb^o**kd5z=nG2*Kbia(6(-0QTdMv<);ySb97CiIrUw_5|s%iqVRFwEG9%R
z8_o&xHUVoUKChyHb?mTF{QQs&6KY6Jw0@Fl3<7Rt!JOnptnAyzTE#v_#O=U4^}5#x
zQpPLl*3$oBRDn64yQdftkF-&UF2M+dUEdd&I*ejFLPysOI2lo8d3;H9m?11h{m#&c
z=)(w|d}n)e8Blcp{ZU%G0Svxk?09ee33IXB7hHRo0qwMCz5ktH0O@|*=|plaX7*j1
zD_4mDWyYHgO2z4eTUU|AVoW{Ga+F-Kys?RA{Cv3bbXpHu)xVRa;yQ6r(KB#uY!i>F
z7Zuk#tOrsjcQ|^ZU-)w&#>|VX49Ez-vOT#?7o7MfN`trt@f|O1_FGdJkj<ErUc7}a
ze7A|QARZjS_keBurE?5Osn}h5vzi7T)j{`#j!fXqiHu=GzZejAc70cqAq~Wjjc8{|
zOyeI#qPJ5#7}2}IdDG9;ROpE{9?G8lhbIJg2oYGAkfL<bQ%(yiyaJPvj;dKa=9Sn;
zULzAqQn>xxvy}pj)vRt<)I2Vk(O=W_oEbe>5|{n&AO)^}YzxiWxrl$DkN)>2j|EZW
zZEa6Z=s>T4)d{-%GR|7PvWNQ%D=Iq@OD9L`fd88JnmW@eE@n5K79`J(GEE{=6t_5g
zEQGsAdSwlFD_)%Wm&}1KX|VIZ+uCo!L-23n*~Eog>|DpSxzH_L*F^PtGL*25HT{0b
zfOe!FKf$ofjUu?!U2!2YJZ9c~=3pBmQd{BwsQ!-^^-hhwUq4O)?YH@CX?)BmW~n8<
zlUD$hcIP|`{-gy-8#g&){aBExnsXShxgbi=_nxQ+E%^9^4VUX<MYeOf6zv;AsAO4<
zx2;AKptt|$@lba3hovcd=b|vuh>U=nbWIpP*gBV`#fh%VSaT;{5k&>rY_AM^h!A>h
zjE|d>8{IXNWHQwgN6X_)RhAJ%C=~ywCd|i+^p#uYQ@JIPKu7BAku8q=IC|;>hHd#~
zQ&Cwbr!?Y8I_-adT?2dzqm@NJ3ZVR0!D&INEQ(ul@!s`A1G>Gxu^USXp_YYzYYH*)
zDDE%$1@=V)ypP%a_x+ME8n{=PT*j=3UQ2wqmNTRQmaN4lrA(seQE!Nj>meo7xnE%1
zSeyvi+G$~~PsI>>+2pI$W@RLm6ZcE)I1x6d^v|36NFdXb*<urRs>td~XRGQc5nS&*
zHF39<LKff7#=RL)Lq9+2=bcQ^1U)1E+{1P<C^`1M`$j4O3GD04t2m(rPsw&F>Y-co
z7M=VwWluyp>}&liF(hyfG>8arQ$PuC{lsiUv{1%QQjy0GGQ7*E5h+hnL<bf2Q3k)0
z&;`EYD`6%&kl!<I*zj2iX+28Pib>N(Lp|B2*~k=d39gG4l2<{U0~!3EpXi`$RX0m!
z8!D))1_i2wsG?dAs-u=a1>KGtlY1UVgF+3Z0nZjS^yST0Nh=8|VoPYd+_}|n+ZMhL
za>*0W)gWIWWK+@i&nJI9zNQb016+=B{u+o-VbbWo<%zq#owxmKVhGWvCQ7275D{wh
zsi@JTq2_H7^9$U@K&yIvN3&iN$@UDol&jNF$%`pxvq=-UCH>#;OSM|4tZe`J&s|ic
zxFlAZ)MW<I5w-6>UMC^ae<?p*F)Fg!acn)I90SK6=BF9t$jC~dV%xr>6y!gxe8d<B
z5X&3-s&|@<xGjq<CP4?)dGg*M-Lin@qhY$Yu96Y)_5r~??IdKMX<_(*ZVBrD)dW}B
zkx}PY$?Qk3iRkUVTVLe5E#X>c(GkZE65{^T(>Q%X9nDbWwsUQx1B|byadVMSY~jOA
zWeycIeX4h*`UV|pHP`e{v1p-iKfNdDi2@SX_4)j>JUUcg)JwSfj)+Qae}5p=OCfVt
zX#@M`ba*ipYRBWEfo8S4y|jx(kUhii^!CeiXfB!I=xSC+9C0Sk0)6?=UvqXb6FME3
zR5$h46x7hQE0^NWy<<Vc<*EGAla|2br|w|nuY%rYm1fzBE#uw$37OxnTf+UuHUY09
zC1i8ys6BVnFrM(%p3g^O%QxqedqtKN(4&{T-7Ec5aR2ZPIi@TNXm>w!b0l335$exL
z<aYL9x~Fn>%BxwxMHdO5gZ|QpTHb)4k($H;Q&@exa{(%cca%+fNTBUi`!d2tX0g^J
z>$nDOfQat??O``X(dCX_PIa3t{#;JKs}zjE`5@iaQ)5Et@5YgTK_Sc7#hkD#>#OE4
zSJZwdI6?r4zLfHC%U!|hnO^T2e{2SG=M1Qy5_ypFX>;`@l~rs`nWrbL$rN6Qb1Rx8
zaG(}h6=NRZRZPcqchT~^35;Di#?>&*f*A6PdGDsLVD90yBcN#lx;k1z^(Bm`{jlcE
zpn+vf^lOL7$}wZ$$a=8t=!13q0B0x?*<8Xj>%0q5o)M5T9E7++mv9D&0{7eOOIYm2
zwm6LiL*Q!;h+!C<#pmTKgI#$Rv0bg^ORd`tVNPpBE}?V^myU`EWR_aMB$BN|wq+Q=
zsem+#z{C-}dUw9os?j`_d`OndbXgzlSa^ia&<F7BVS#2^$Q*X^1_#OAMIVAxbSx*m
zdvHU!;L(RIvlw^#Ov*8&2Zu%`1u~^O@EDD@oE-WrR=^VcNK8`?IIcNgTeYsiuinWK
zOzoS&7^~1Fy)<2bHTjwc9}}?LuoYU{;~6Yt=We4^UR{WB?zt`4h-1R`!!lYoW-!9}
zuMHemX`r8#L?4T6!?M?$(<o^(SmMTpK@bBCdN(E`b(lM`>YZ7Q#E&!B@#mdFPcKn{
zI;(<S?d!p~KRdIzkY=&NOQQwxOjIy_(eg8I&o6Am@tT-$$t;HF{Am`9rEK+n_-=fy
zA5(sL_{e9sIV`)m)m%!L0xtz)qN_gs#@2@)_1WvrW4|4;no=I=K=W(88Fl_)?0*0N
z0RR6Cmv=nXe-y@DE3UmqwtJ0xFYd6{Jt(22WMpTQ77dY-jD{4+sF0Ngei3DlzMo`7
zl2la6US*R_{rr1g&+Gj0yv}*Qo=3W7IWCT|$lNb}WBMeG3XZo9syx{_#vFQ7qVmga
zi8*=xov`jrEqIu##&{j~n_1H?#wA<2%sjf+EmxsR6D*>ZXOsFSnE!bsx7Zo2GQTfh
z+jnbP1G>Wej3=z7nZXL~>*V=0=Ex3w+$pjKjMSBWdp<hDtoOG#{knI9S+(#xr1c~P
z8gup~RhrB(|BXK@b!KIOit`R#Ps_+~@KElMQ~o^DmWRu4D+33<@A+LtImr;?Vs+1l
zw!kdby>EW?3M=IO$=;>qN`k&<j_Qw{i%fkBg>~x{HgHn(I-^{v4%&1VKpD%-VWM-l
ze-a0nw&Oy{vg#0;wN2-G>?$+pCVk5G;1=M-&vhq7s{vbmMh1Gi&b+Rgx0<_?8_vH`
zHF~qA3Idq<(1E$X%(bflJ#hg%aF??rRXbP}EVK`QH?L%Y^I_w&7n}K@ZZgvR+L{V{
z+My)5F3t+)AJt9}wFKdou21HL8!8~KEXL`P%m!IQ8=>hbLa?aOro*D70%>udG79xL
zAZJA#&8UdLjrTL{28~3}4gFkq47UZ|6c;s%eisE(qeo)V!9-BYOu4jgkqhpUR*uV;
zi9_1ug$GG`M34&%*K(KUfungPrww080@K~1$eoJ_+ms#K8cy?psnB9m{DL%0&XpHf
zPY~dex%ItZ7C|@|TvNdCkcIrnPpgy>0^o#|*Xf6a;B|RU%)*8|w8r@9_^uG3%<!D0
z_k=KT+DA2SJ*EhA<M(hQ>O?T$HFvR17KQC~zJZ@+m7v(M+IeRv5hjX7%~ZX`q5XYw
z<C(hzI9pMYJ+?rEywuy0J&uwPAMv&*)=>ox*LhTQJWv6=Mb{wzIcYe2NOG=}p$758
zQkMOjK9@eN-_cYp1FfaE>{QiAps-8$O?I3b_|V?n+)0s#yJk`ke5n+;=Bi57`K1mv
ziIGji0}Ak}+;+KbyC$?1KFk(~C&O#KmST1bB?#41eUhX_g}42DKDTdbfMLX^@Q@N^
za6hA<uvMQ1q^sNY4-INTE8ZeUN}CAE+@eQ{wCRxEb0+-r9vU<dnDj%nDnR4(y76Hv
z1BfpyKP~jo!LThp)XYW=_V(FX+Yc~6xKyg5FIyWt?O9y^b*Mu#PWkrti`u{v`+Ivy
zk}i00x}DV6Lx!K<&$+vIYr|9+Zw<XzAC5$;m3=6pfP?!^TdP0Xuw_Q_g3+WQm`p60
zlul{De;!iSHPzY>Bdpk&YG?wryR01r)-)mN3c*@|qz&vvrCZ#tGvPxEg?D?i7F?iv
z?o2gi0N0&4E3aOFn+0^XRTV1iw0W(qw@3q%ce0ny4x2$x?CJ^&P{F{a;DDbe6?#im
zR=nStgPMn*%sUDd+^(sDo|p!l;MuopZ?pwyq~fl(f7Jpy`z6mtA$73JnX3FPwhcVI
z?!1*`(SnZG$(GfF1h_&flBJy926x!%=N7+c!0AHk$2Tez;NB4-{&T6@0DgU85AmVE
zj_i7skTX(nB_8i+n!Ksk7IU$vAc3Ww@c00qFkCCI7WFu?4YK{!<j(b~0q1>ucE%tl
z9PH$3k(1m84f=8ex5iX}!;C_R=wD>!qyz<Se{KPnNI$Di_Y)xeYUN#L@_XiB!jsN@
z+7_^2mF!&JsRT7WOOr2z#;}pwi8JE`=CJFKpBnL#0<=H=G0YOMj0Lcvi}w`G;TeXN
zEx(e5;UEv3{2~jA*}ZI)o@fU6ZmF<Ac4>$^GQon*v7_4cH$pO7%)m4wEjcAZ9I}4g
zs*ai9M78SLDbz54k+cv&V<QouiR=pKjO9X~&l&C9`-cfW>7CrHI)ady`)*w_nj5{2
zF)i|3G6jm5we*!<Jg^_=-!;jGN35TPt_yRTLe+J<TfaYZK<(uP%OA>k)U7J(u~WeW
zWDXiLT(;wY&uybKiye>dPd9Bz-fj#k2~qz|+O0D47pdb#wcO~h3`KCqIV0#ca$s;T
z%rWBzXVLH>ZWOt<*Y{DOA(YJvijS9%F$HTEjmRwAsFa7VV`|0#l$rw{+ID?o#_Fn!
zt3KjFPNo^7XN(Ns0rBqPnUxnz#jkjcP6sY@frXY37po5s=Y-i8ZCbG>{biOs@?5Ce
z-+`@UL=Wx>-1yce(~ETn$qtO;xX=$5!@b8W^?)eItd`Rq#q7j`diJn!A^Hz$!LDbz
zz^6{z2BayBbosT2pb8gCH4owBmehqOJ(>fN+vczcf5Oy(6I|%wdA9BDH*_GgC9jXE
zw}5%QbbDLh#fA94ROCyu=s@uM;G%u2OW5&r-uGokxzPc)Mpx-jZIDgfvF~NdDyE^c
zxahFyXXfNLL(2^Y$cDPXS%nQu;1+x08x9`SWm&_Q7{!3R>Za1>`~R>joo7xFgn1FZ
zh9-m)V8E|8*nUY)9OA7kDyy;PL-U60-_kPa5bSBJ{mP6L<qh5^E*J14TSxcX7j)<l
zFY!eDLKGX?Hd&}{s33@Xxol%lI}J|wpL(VJfgSw~$t6bNgpf<&d)<uFG&pJRE&o)F
z6MZw&@$6X>LVkh9PWvTku!o3q_etD>&K*fS79c2sjt^KrAU9B9Iq+cOfG{^wDDucT
z3!>;w7*|xxc`ERT4U0zR<53k~aI;CQ7z)p<OC6+BA>kf*Ey0Z!opYlYYAuT+`NbR3
zSAJ>11NY%%CoO*D_4l7&VWcFw{FOA9bV&>D--y+@DkO+b&Wx=~X-cDxN1_s;%32^J
zY)SYfD}<heJ?t)D+lrKzZ^y6w(1c6p`;K~>3Zr^mVXMpuS;RBYT(k9=CWt+v&Yubt
zL9X=BTWu@~h+KEKgqElYKYY?>&%YK$Gd_|Rqh%FQ$InAwhmthGP^bQSor*XbFe^4c
zv`Y!y{>WQNFVO@|;f?9Tk0nr|+UT3kTgqtupM&|SKboL@*7g?DR0<WEjYtjrB%o>j
z>_W?fT5!1AWdDa*X>{U2R>vn36+~E@^T;330wcG_QmRM>wXbWWk@Hm%dwoHUk1Z9h
zJZrdCpDTx)wz^(FA+L^#O@errHhu19&HJEZuYi09bu?z~lTaKl$|5<?VBM<Z)1^a-
z=&5P0ag87a6@OZ>US_33%i9vCtY9S+jEiOWysUu|R-PsBw9(=E{ZX1%vNCdSWpU~6
z)<l)xn7r{744CLrnP@L3pt9>(<bFOX!c`<!{;AW3czgl}t(%CLnSWf8Q>e&h+^^^9
zgbpMW_Rr6+svzCVa;uqm8p<>N&fm_^gNfg5id8~t=<qI!v(C;m#5?@Y7N4vSq4yMb
z_)4jxLH3~|Hjy;cyPP7e&$G#a%v;<{9ugY-X}<4aC=I<lWh#H{wh`RJ<@o9Lk<eJ3
z-OJD0XsFQ5PHjQb1ST3&rWkj~$TKn`fb^A$wDUa9R;Qc7d(mBD5fT)1o~QYXr7jg2
z59Zl9as$|GCJUpJ6m<5u#ctL&nkc_t#Lm17ATcqmqA`|&0&k|auGUh}-&`HG9kyn0
zw)g!G?H~$TZsFTLd4hzL)BhZ4?l6NL)GH{4NI?~v{f>cys;F4{rmc;kIVkVj!S?$B
z8L>QHJ=LH`ME~$n8UI}|hmpzCk`cWm6#6|{wKrS|weiyNyNk`?nzyHo)0{e*Y~as4
zo+pnwYHO%}kvVvB-$`EVRzp4FZByp4(kN7=yrZSm90+Fr%BONvQSyZ2&P%OgD7K!F
z_$<L38gwlJy!NZ0G+#;i;!8q^HOI1m>S7KgiN@g@(*!h9yszqz8xOi%F7ZfS#2n&|
zC4|{TDWem{-(Ezuu%o;sg>u>}GqBZNP#h9fLY`aKwBjQEVqfr~dpkYMfZJ1Sp*&v!
zP5r2M2t2ZY1-|8$6kG$)P5+m-H%SgDEv&I6noeNhQwLVO69ASuoBGA4w;~V;V0%2<
zhv~n3NbFJt81*X<K6ye4?bePh-2bl~%eC~}KOMpZDdv-PaUluhSxIg=w*C@hs+D+m
zJ~jnM3F3ZopD1z$r=oS*Q)bI9RY}|z6VSE^JF&N07-el}xZ6CbWe(L$rA2a?K#s9H
zVUbk`<yvV)ReRJiw-3l_v6~r#Lg&662Adq@l3tt%y7QXp{4q?qKg<YTHwgb@&*wo_
z{~3v-RaR~G2<v*2Izz}!8qz3V=0dP{=d!hKKGTvj(?)9ZJ_Wy66Bd&=kxa6WdQQO|
z>>tk9&*h*2T-edFG!?>*zT6LdT=Ag-+x28nuIHIPl<vNo6aSDEwf%cGJeSpk-Dzuj
z7|5Xyzx|zeRCD8yLIKWCs`(>ks-v_#?WG6ptCKy=2mWDB!F)etabGbUTh5?jgDzZ}
zS*bbpZyjqql>DK?rw4oGek!krtP55$TavZ$YuK#PMDgFV1K0)St7{u~bs+I5e^dU6
z73{zvuXxM4VJt;6%+rNa2fh<qpX241v4eIniOKxJjArRpogvzg;(esmUU~_eILUEp
z^~wa+`s(NWzF7veZa>;;@3e>=cvYUM^LH96AXM)xJ;8uI-^}G6d|JR-*ls+!(Kw5h
z)Y!lLJx+(NPk$lo`T`bKSrJf>HjlXy6Gwaf>CpD}*KdJS3)po&*H6O{3)rJSL6cV(
zXaJ>_{aa%euyYM(-fx61Vc%UB#6Di8!OWm9Rc3QPANNL@!kraN=g~{4N<JC{bZhUX
zTQ6ef+B$}x>ejG{l3#laGN~|N_%~X9d=Xnv;4YsP|BE@yN3PjwQ(-ae3&FHv3FDbe
z_~B^Hg5HG=-`tX_1ss%JMi+~gu|=NtmiOs6v}~DwyQD)Cq<>fE?EAceDfz3Ge&k_8
z0WTikY7o|h4?jEm8whI{{b<g&*t_g#y5k<n$5{isE}bEI=d5G5Wb}@Dn{lFubL$Sx
zc@!AodSz>{|1b9G;hT$70$k``hD#3<M*;1mg2hQGmQ7we4RCYf(Sw5_(W-~Y;5m$6
zC?evJ&Hcon4pm+xoT=Wr+)RR%Io<{O9#*td?QK9_2tSH>ew1!)Oaj3L$&*pZY={tB
zk|-T6h%V>PN48g}LsjD=#-EMNe~#SVsMRNgT1Jj``hz+MpM35o6~l@4Dc3yB^$<a+
zDLwg&&uXx5B%$oBF&8Qo<KL!@6GNY=f5i@;Q-ikF?I99U_|5<Qn3dEdj^xhJ$Z<q9
zaH4A&Ix6uZ)0snm5=teJI!kl*<q=gVnK;uR;L4ARGAeIQy_ZJK83LugRjM$fa%5rE
zM-Y8_YTUj}L>5K<J|f+oqYCfZ5BE-$3!(k>M`LEL%cDnaS=H#VDr|_Q27Xc#K_=Uh
zM5e_RkyV^uX5|}I@Vi0Ih_4hyp116c)T5M8vhT!}7MvQ$7{t`h9~Vc+`A||j7XjJ*
zk+VwiQG>MSmNR$FB#~N!ox0ysB8o{~mOeSF26x2cdyvs)ZcwOlPjpj7`4+;SYK7`h
zS0Yhj<RXKrKGsfuR8vQfesym#%_hN*fI*y6mK<^jQMICRkdaVD!K;LiWO)2y^g#O+
z1@ykL|L(#B1<Bo!EV8uJ0EMjNp3W9U<Z0$r!~Cj=-WD!(dT?q%sH4(bXN67P+OEdA
zx>M0=O!)(qTU7Wk{Ubjsl7P1K-7d<rq#;K$t1}sh1_~;EHEokbL^H_yE+I=tZn>`7
zib@P{5^;H7@2ZMUeSf>d`zsxl{NxYKE7FEqjrTGv&1&e7;;Sz@{tWbHH%Gt7F<rn?
z^yd;uBos6I>u=5{28xqxrYBnK!$#1wq}h2g8qz&@cw&Qr29DfUgdK)pBiArk`jmq5
zHS~T54Kh%IZ_KMfN8`;N)abiWpn;Me$5L1>G0^if*nYW_rm(AiBS<b>6Ro{IbLU+n
zeKUuDEnqbQm@u7D7!c7yX;*)1K7LI@<F4$O0@VzTartBvdTOE8C8e;Svs6?}c8+c3
zH3x?0-ZAIRxwh@>RA8G1dK>ji=KEW75NtiK{#`%|$&Dp$3v?nOQ^Di4BW|00ikrco
z9iWL6>yz?!<f$OZ#;9|Dn=IghOR;@%lm@~DHmRH*RYE+h9uboq+hBg$K+?*Nf?8zH
zY)uZ3Lte&b*0rRz0gE~3N#ijRs{AFnJv2}Pt+uCCM{nwt?9`&w_oySsk(NPT0U^}k
z(`D(>ZUKpor_!(9QAN5HH~F6<PE-=F{AcpA1-#)b+1l`mh>obR{@g#jf;~ukC{iwM
z0apI!@DKZy(Lnj<i|0oNu;`|ck@ru`;bqUq$|QCr<nwolH8$e|Q(y5-YmB-%s7#Q{
z!l?=<?Ax(UF~vzH<H<L3ho@%1T730@(l;5jt8qsdXUQTHuVsHBL)i>wEnIVgLZy(M
zt8wRI`8reg1&wtq3*e`jqeR7iag^ux#@z5C3z+Wi5tvc{Q2Ao*+UhBS^eJIFUIRF=
z4tP#Yux5fiNqdo&Cx}KxUFBseSV4>QJ%HqF3V54r)qW>l6cI0L<RHfeIx_lO)dNkS
zabk?g^=S)AH>>_BO5dE1HC?@T&ln=Fe($<a!-kw`_itqLuz~myo<?fD5lk7!jFJUd
zP%&k!d*&4@(9dZ8iCi%RG2irEU$3uV{%7|ZE4#9S(67-_PCY|-hJXL8;_*Bd_bfb@
zZw3dtFLH&nLJc5P<fVZ8hY9Rms?k>L3J$KFe{uBeTYaF4WZrukGKlH*6-%!x;sEz8
z#l(KAJ{;wmX%VvT#3=mvjs@>ofX!C~=N+gA{{6znB#~EGP=uZ@++u;nelKo=Pr9HP
z64h5fRL10%ZvVLI$pUv{H}*v6=|blIBf~7|ADPisnkle{1wwc;Z_H)s0J6N0v+DeV
z`S^Z|{s(&&aKx*y?iJ7h0YSuU6B=X|K0Etv>O2cb3T4}SM`{DS*nX=0&M1@nzVFS{
z3KrOHF1v?gl>zPV_FfXN8)x?Rt+PE8!vU|f#E5VZ1Li9YKS!5NGxx{F%ht!^;3Ov@
z;`AaND92;e8(+;bP35(C8%V6M-A=-t?;;%-ZeecX$@9!!oBS=|L#&`s=wb1VjSfZy
zE{O!+1!hvg*qwz}Y+!Sv-lr{|1`N55gg%`m=0W?zGY-}4U}NeLF`-BUK@C*Z&bPwE
zKcadFbaOz@T^$3%aw>S$e0{Gvzsd|6G(7xHehW0rkEJ$j_LMQ#=fA#<uQT7jP)QHF
z$pxWpah=vbwE%xt=3LRnU*_IxpLzWh@Zg^=ePCKq3;glR{+jn#;J;xn5bNiGyFU*X
ze+bZo%x#>whSxZ_I-a`Z-OdL`-|Z7|Y|;Q$p&I@m92>Zb|FDjn6@cf5&tB$J*MNmf
zb=Oo6vV(@x*;9+kLSS`_b9Y)Y1<EY8ANcr=1GJtvd6ga)2GV13mo`2MIFy9@MY?VQ
zruxYZ)(#QiW2(w$C6J+UJ;BF^pBr$|SsVYH#Gt3kKi!x}1~-ageC-e(?p;}P=wp?D
z2#*K{d=m*=f=(CA4DiBQNCUC=qa=Jz+D3U9LV|-bi;@?31t7IJX^ZAtY51vPt)<B%
z!B@O&P2dYbi2Tx)(laUpUN82OTck+PSD|@zd`Sqt#dW0C)8&EpzTZQAUJ_WUr&k_z
z5`m{xUO}o~6yU9S%d`8Ndda4?-ML>xAwM{+E?-p%SWJ9}!nc#)U+z8@v(w^m^6nkk
z$#`XOcp4zSC5Z&i39VKs6iGNyG;iuANQ99cd1G(5$<VwfiMxqQ8eC<Y^l~4mfYKV*
z^oRe*Q0rZ`agtL8MtD1pMeI}q<;VMemR+WRIKFm0i6{qmCnRrr;Yi@yla%IqQv*CE
z8ljS|08wQ^Pq)7&!`73D<PV=Uq0gnwOwvmc`c?+K+^%SV1G%XCAC(HS>Z~3IGL^uS
zRCc7pObg^pxsx?zXrP&6&CNfi4Abpij#j}`ppM2*5;f^i`Q2dVk3JC&9<C`&F{MHE
ze@-68ehgTu&hdX5s{-nR)1L*WX)sL2&0KBKhI_gJ9BF;35K!h`x_p@q;|>Nq-gdem
z@v$dMl&lV)?M$46#^}J=spKm7PY+s;YT4@hlHj_f#VG|j21x8e($-A|a4qN8xZX7~
zguOfZ`lS>D^hjMdg>#G`_}!fOlPeU6Nvw<D{!EAUrO@Zi*G%Ayc&y!wg9a!+yywed
zO$YyvmkOeNn1G!z{I)c&0fwtzTzJpZASKPlH25yS#(HdTot-A^45tsK_)y_(lC!OX
zpBb!ooqA0<r3suGB%c<FCQM4Yvku9dLtX=~W%zbYaO`LJtkB5tFbQ9iT5b+srDq}s
zIy69_i8T9SK@}E7zVeQdEFij9vF)O?28=(73KPFifUDd1I#Yu!z~pvuoP#0-Rz&zJ
zjvFY#_tCv}4e1sTq+SubJVk;F<7*2sQ(K`S!=>?NrUjVpcNS~9r49yz6MrH;ivh1r
zHK8Kh0=jn7p6upOgM?3Ny0+GW@Fh1hg=}d7@A${M!o5}C*qoDr<XcV%31mHIy<iTr
zzaE5(ydZ%1!z6v5noUmpSZh0zXb#_pt~yMvDnW{HWc*{>N#=*3#Mo@2Ik<gz1}&C~
z;AccuP`=sBoY$V_RVy+B+3LMR?1u8-_gnC5=(R5F6#X+-qOKXl9SE+P*t}c*scjLu
zg}<=VxFgL^ssZp)7jiT<Bw=(wjnKb3i|NU}9QQW^NcIh{#VLzJTWF=&vHJ_ykKJeV
zixZe&V`Fn{XQ&9YbDsP?zPN<NA2PX`oofmvjrvYAcp;!WXN_(+tYAexb?~Oa1iCb<
zADzhH1NXu>bb5BPZ}GXFPyKBSLrLmCbmO^U_DrP}*U}0$u0v|DlrV;9XU7XWM>(KW
z$>V2P{0gSpSo8PsP9rGHGBnwj!3uk8CH7eKEn~Jn>9+pY4WZS3`~7vdf6V-5Um0H9
zGM4r{cOF^{fPSR6W16ta6ySg6+sCzpy|CxzC>JpRPnXOaCQ%Dax%5X`U$_>rYthHr
zj(Y2ZEXsCEIyTGH_Q4<E<6poIiDPw36?&lYUc$R0Wt@3*z3h~~(jTmN+*)~ys2=2x
zK3wxR7-oJJh|PlC^H@s>O>{?~E_lrvoi5exWm5ht{8o`ThyD0h{UYF-4s=%WewDHQ
z!sNIW#u>0Oi?zhK-!-$)0VUr*o%5W{Ow9wQl3$0<V&T7-99N6AA%`yTXz2F~rizFE
zRW<S~X4xUf%T3S*H7Ui`nbK^`Iq4P0g_Rks-{<MQhp7y>aXeVZX#`<kLmi5gCT1{<
z_%w?w#sInk&dPz&irE?;van;D#rklffsu)HFt+;p?S$ngEb3rVB9S?Z1@ZVv-w>li
zbpIp!zrtU!?AZYGs?1reCOfW&kVb>bdiv1qyFW0ukL<~|#5pX5qi4>9K!dIm8F=}#
zeVFa|j<kdAbJ+8q?=-B43hJp0T0zVJ_L=Edcs+X_6Fum^oD5VL3NcXpmO6wDu-sPZ
zPWgjfJSCy!^HdAy=MK*O`fmi2nib+Ks9M10F6Ec=Y;rPM$X6t{VGNUPaxkdiSi)v(
z1nhaYXo6UWQfuh+Z|sGM=CtCaWz77?<s<f>0Vf9TS;bQ)v9j#$zzF44?2V&n(2q?%
z*IGE4kKCTdioF|ukFKp@8MbmW=?!G~xUr|i7(a_Sx!4GgasS1lz8xfF2$6y3OF~z^
z*Bll%SV8@u#)8^5GS2<>Ccy_;+pe#l=dlB!?NvXH<4}qSTUTn0I=Eky$%^t>z=AHM
z1io%(MWj7H(>`rghlXN>nq;vhY_9~-IMA6L{kSum-xQ$+H5>|jjEQB;g#GM8b6!sL
zdRASvdP)`ipY>VQPpo2W232Rj{Mv#%a+-2Dy;Z?dp2A?2*}yQdlOx(o+^FaGyAA1H
z6?ok37|C+^9~Rg;E!wKji%v0umalH|CFP_r;Q=2GrKgU<@t6GQ`?ZNzOEX0Hn^5?{
z>LM%Rhr<$tGC`Cjt$x}%ng|rfn{s75?C7!0@aId~!l=sX?(h{75$^5UNwKTrKrFQn
zf@`}(5b@EKmdURKn4f=lr~Tm;RBhSyj3Y-3z3;xWk2jeBVV6Am6^gkLMdClfdnpnK
z<n(V;dJ+IH`uM+~SswI8wdw_WC51Ex^)G6e5`Yq)DaG{TN6g$^!OdbasNMPip8%Br
zZT39VJh6gk=NqC_d$t@Jb>s`aYCr&)iIOwD9Kz_t+mP!YUMQf`X~(;5+zHTV`Mh^M
zO9br<BSlxxlu#U_K@)pOfYTpkl`1{O(Dy97>Ap5)<UHcHy23+*Aw%^l^BoeX_2Ojn
z<7gtnf2^(fnn{F<{?}r{9i-6pYa#D?JycQp<nT34Ulni&Hjo;*y%njg7rkBFr;fe^
z|KwWsQiYeE%-u$RWKoluQkSg@8U1(C`0|%*H8`DnZaLpf0bT4m+HoLA0}b`==e8kj
z=8fmFEB)z;=qWev-MLgP^gjRq0RR6Kmv=PQj~B=7z4zYZu^!LkdF=7I9y3uAqR`T}
zgoc$BQc4JAMMjZG$X1fiCsZP`(jp<7?7e<||K4-YJ?EZ#&ii#=nT7sRczRW!6zRE<
z*kv(h>P92}K?0U@Y_FYK9}f;36L{)-a@cCmImYe@BIXoB_?zNEfS==uC(a5hU~4Vq
zE7e09Sc&nRK*%H!2J4u|{uL`?Y-{KLZ8wmxa~DsH$z_vZcSTqv8kDd@3E~b%{m7W!
z8FGQ>ZB00JG|uy2n=-a?Y(T?xnT&ZiZ5?@?sSW8u6N?!XRqRi{)!&CiP3*ztrZeF`
zbYbe_(u!M#8g|15ADknpiLqIJ$Cs%a!0G|R`CISt*vS)@T1%_Q7-Qo?h-<tNaNaLn
z#A?*BqB}S5Sx=KN!|Nl;aaRBwH@5z3CJ?Yv%GAZ0CJpRGkLbx4(Z+D#SM|Mzt^{l|
zbJn-nl!#SawhS`7MS;zZf73K>1nhBsSY-bi9%Iiwqc7@g0>8@z#D(_f+&PsJnzpWt
zX(kBsdGDD(XNQ`tQK35a*l&Y!^tA#ue?6@|*2fg$Dp%<U>3EE1D&;)yMHy`NssF}>
za#ProF%h9RP{VL9{HhJEh+&GWY+arWrqJWSAU>3-f}N?kPIOJ;!vbrbwRdNm0=_Um
zeD;$Pc72c5x_*WQJBQb|{org0`ZiYSO5KWBpY4TTs|(vG$M1A0`!y3tzr@gfv{@cY
zb}rmoupC5#RZ8rm!cAcB=m$BLQdz9H(WJ>yd<2>Kw|=^Gg96K!2c8lhNn`E?;|#~V
z){v(U2p)7^6nILEex#=&i9P$%q;-Rv8oXU;6nuUegZ-{x$KC-^Z1t6k<Txii6khPY
zly%S;UcdfSF`FfbRUYMXHk@Jvlk&DuRurHq`{99`cs?w(f-LR%jTyKv4CC#!0Y+y6
zTNtRgF<XUd|2k$?czecRwd^7S-9qxoDmXSQ*L;pQtb`S~82*G!`WQi3++%0=UIr|O
z-((?of)%<Rd3iYAF$A+$R*$2oXfSs%1DBsaS>eAs$J$~F4B+)t=vNNwE%fdf!(Fj#
zR%l@6CI0Nzhw?w%Mu|a7Xq?8%nu7%^$TvNFAHt*$E*He=QvOY#{28(R(&H?k&A{CB
z#6k~v9|V>ae*BJl3SW*1k70pw`)=0g1YP*<u%UJORW7Pyu1pHjX8{9y|BIo6I&hKk
zm2ymD7h+J$_@tJa1&V{71`liL02L9xab#i$DLGU>NIk*~U7E;ya*8&{91)(bVxK}x
zc&#2j->;9q8N$<TYJnBsvM2g_9=X0&-7(6*0`5t4H&@-Yz%j=5cZ=9E!r8{eDsh+v
z9J}iBn!jp-H>dK$PeyCViQ6L7xCR!uEPlUQ$66CwBcVK4Z4)W*Aru8UumaEBm!YaH
zWQa}7!AGxbBSLu+2}cCjATV@~Df$2zM7#Sf@^beOfxmy>_ffNhE$<`>og{d$m8JAq
zk{YaJb|#3z98guV*y7|ug3nV@XGoqjaFXLT?_*a^z}-1M@OxGRSkswzRbSBpeSyz$
zxWEO!luZKv-O>P^1o>4iR(iM-#_jb|mmAy}bll6NHDGFB)@|iH0~}9PlHHQ!0WQLD
z?ulk17&nfbf8EUpjf|I1h~Rjk&R?lm%bN)GgWCF>hnXSy{?jN?3qFt?)u%}pBSN{%
zm4I7+SfFz$7cU*j4>sJ-1ZTSmfbcplMaQs#^D0Tp<);8V9y)!qB9Q>WYsvS0Z8^X%
znBqozL<sb)g+e172_XEf(5_L03(zR5Hx}c<z*UVTFv%0(7`EBrBf$+W&Z(EovPFUS
z+5uY9raIu~Jj%PtJYeulerYa19FB6Z2AQJjAneO<&gmpCSiS00+PEqS+iYdp9*@*v
zGsIB$Yz`m1%Ji1_@lgt%79V)ad0!o-DmPO#R{7zX`$)~=xHP<TG<&z4s}8fu%}hVt
z1)(faXtPI17Lv1lE#!LDL0~33oj4-|J=NNU_nqayKk8ZZ7B2yKE~Rlb#)*It-H(-`
zLV3_X7<+;K2my3HwB{6>i-GLoK<_B6BJ^3eCJN^fKzH)q`+LF?u+n=*4tD_u+TT0;
z2y8?!-P5g9qmcp=`})+wT}r?-Qqf`*PlS#iB%2%>X%O^Ev0~LzfqUy2m7*#d&{}7V
zt7ek{;;>`<n@6fJ`TOWKx4#;|^Hcv~poA>UKg?Ni{ig=y6#^3)Z%FXRJGR0`Qx5Er
z7a8|(>R?;cy&+ddh8wPn>VIwIK`-9HrBjjsQg>s8M;kRk^Lg>2vbzE(MBvg^lL+wr
z@D>yEq88{JkfE{lRfOPzj{@0K1UP^=yMNKsf%>5%Ozr+SxRT=2^-7!wzp1a>{r6B8
zBy&5JqRuIScO+Fxg(4A9yV2)C4EoUiPCIW^Um4b~iJY6KC4w!zPr`VJ0hs$s{)$*s
z21P=<{IQn=(436oGMhJqK-W_r>mya5>1#@C3yuJ<aEw(Coe}6+UKJW1Q-P<w)=z0i
z@bFOUbYq<(fP(6AZGwm@_;!>sC5os)Pz~DgeI9`Bfm`HZVO2=^T3MV=rvl3(o;@i6
z#vn4}5|BNt0>LMHxQ5GdV3%dhP5EmKmDaiqCj(TVdVX1<UsD0Xx;FKWX;Z-NRqO7%
zK4mDeboI-~mj$-sN4ZZfQQ+s3_wgvBGCY@^`Z2>V4M{tc%ce0D;Fo)&_LD;i8vW97
z?Idyd)W##65laCrvp=nG78OCP<%_K2O(9s((kfZ^qX3f&Utmj}0=R!k%5x&|!A+OM
zQ|As)AZfPUqV$qHIGm!{YO?2o9lqaGrfd{A%y*Tt%P$8`WH<JgL(DL>StZT>&KRNv
zE93iWWxz>TrHqr04i5JfU*+*MhL~$&#<|C(!Eb(1o6CO}k!(~gv1d1if()APbF@-`
zs9ZW2dT$kZp6RFJSp;ykz9{hZ6>-Q<HNvV7%p>|T&FR6W08em&-{jUrK=-p*>ie}Z
z<Y`pT^-FaKGzgd+$$cyY^iFb9v0nxeap&u81JnC_p-W?Dx+(xS3Ri5`nEH^Jr$NhV
zl131CV_35KA|DL+PBfh9`hvVw_;>J?gCRWJJ303$o(IeeS2C#6J|Vx<iiOT58i2>Y
zdco5JTu?)$X%lDMg6Q2snBRWUhx513OUAz70E1Scy>ET3i0n+kT|Pd2$m*_;v7BXv
z-xbsEGmJZteDRkRF|K;BT!WnQ4rK<dUU##{2YZohwGs}QVqF-Ee0a6jo)K8b5^tWO
z{6J0!mehRO(}9E!*wE%xdQhNd$HmY7Mha+k&!2PBf%ev01kEqBu+8p<O(hN^*M&sY
z_Ok-kU+4vXJ5K|?Gfbq|!BK?v<h=fzpf=ohUf8zRriRl_Ex41%CJ|k`uNPCpwBSVS
z$nr5=Du}tvFQBk6gPe0_uP>O?gxDFc%>17HJKf(7i?E+ZT#kDh(K~B`-RB8?p_m<n
zY|chmFj_=9IjC<Xe<nkbuv4sc!ZvckzO6h)XBk;oZT?|oN(TO5wLpu3EhJ_=Ze*IW
zimZitom@akAmDR6y6e&w;;7=@dF#|VqUmJEpM{WMzTf?N0J4Q7^0{yOCvPI#c30-K
znlvEbS)o<r!7ap)`t<#4!`nz>!t1qKD-BqGuwl8Ku!UHEtDX69Xb)M^WW6KaM+AvS
zZ_hqq*+w2t;``X<s310-JHz7~5#}i5o`KifNJJ3(i&iTdkh-60p0`ebQ~o}^A2N3k
z9_8*+=ibtSn76OPw*&&PW~`R+Rqi69V#x+S575J2Mn1i;3IPVnzF3Rz>><S`mY$wi
zVt{X)mRs~G>d?d@Su*~X3aodQB<$WYLH@m=p)37(c)e3Ee(WJNd?SUXxxQclX5|j*
zc2zuF*_ok?$J4-Pm+3o>@7RDVyXIZ&Z8gZO{&Qn8mlm%7a`rn!%L%SkZufMjRN;o>
zlbz+Sba02=I^|;>7YMjDo{e-;g$dRR8ly@K@MuGy&YFV<bWAK1wYybdv6S`j_s5K&
zn`WyK7sd<0BfHH<om4<H=+&O8Au~vOmhLXH^FwP?uNlLPGPpO2n1@rdLUE)W{aS+n
zT<f*@RuiubOfiGM^XAz=EhHj~Gg%01TWh{>QIsLif9(Dfc1~!!b<rq4K?EkB@jPK;
zQU;Csi=90sTwq1YqS~$$gH}Ca^5(D-IK3mOP|b0JM(V{%0a{6zdPmy5_f-jw_)){&
zL0-uDC415mm4fgT@rx7t{eKe4c%Kh^fFv_tsNt0X=EQ(Mc^t~n<5(s)bW#8muEk4D
zhsi=sV>in$7iDO563fXK76ODJJkf(n9+v0$&Z>1QL*@v7NXN1;M03VHUrbd1W3A-r
zdS4Z&8F<pOy&wwrYRwpJ00%kVSA=9NRKa5IW~mOh1W+}rdC+YrfvEvo;SoDE@Hl+V
z>o-mcTEA?3m#J5Q=baVimmlH5T)bqh-$@!~S2AM9Bh?`4LHi>UJ_20$akrf*O$Lsf
z3HOgQRfl9*(xc=(0(kW2*)R;rLhtHY=3FoVKDGqS&T(r114}w7nj{Z*LVaaFni9c?
zOVaM0H3_m_1gxvYC;)@zpx4|Q5i(549Hf1op5PS~_8e4%c+JyMIk6g0<DU7aPEQNq
z`aPa7RV6U)SX>WY)d0QA7Wje*ZJ2u7IvnPq3|f9eIWp?|e;(cY&9{}haC*+9Dej&M
zgx3nZTvsIlt!Mftx+HyIlnvjKN>GL9JX{Fdqz1GZM6t958-nKw>0z|H8Z0%qr}LfE
z0CuXJaCTP&6n?nfjG)5<(wa1AyZ=wHE(+5~rT|DZXjPB@hle944~Z%4@4LL^Crb7(
zhGNfxQr{>%oYoP^PqfFwxutnlD_IJp-ZSw(<bnqeeHP(zdld-WXi^t`OWEh)6lc_w
z8qgMMv;X79!K1w^MM@eb&_+uwMbc0MF$J<uZ?PQsC}c@%N0>lvOV!XB9aSiMc_~)O
zTpH5;ejBkWFo9F_TQtx1d7M~WF1fiT3grs8?=jC!U@f4g_1a@4NHa)ySJA-_rOyn?
z+hR<>-rce@LI4MBc}AwSnp_a)9gpoDHi4QzAHTk<3P8SA62^I#0S;x{$Fg@R@aIih
zoAp~cNV+=8^+RAAd7ymmo<t@EqGfE;r)XqBSmQ?D^oMCAX(D_+R*eG5tV*A5ACv|z
znnQQ?@*5GwxJ$E^wZ>4gZN(~SC<)QeiOds*ztF5t6H@;Sj6t{Q?VD*@F-YB%KNj|6
z8ci9~p|yMm;PTSU&};es92B|7y1j_T<>e@!HwRdyag3ed6M%#1o1zO@tLW{c;1ci%
z0r|Uilmi~T;Exlp&fZ-|(Q9T@XUmL$v>~PMx5NcO&yUH4pWH;-D#aWMJ{!WNJg$6)
z^X$O!V*4BS<|bN<3HdkA8$d|Zg{}`rm_gj}S#s{)CMuX^VcI8V0K?2r4v}-|Atdl*
zR8smTO8XIcQDdtQ9kK~0@keQ(sF%flcX9*84|mcD#pwYqC8gw9{Vvk!%NB5hZ3CT^
zD`S7yp$pCDUtT{Iw1F^V=bniPuA_9k@m-$<b>WU0@=~;88R5DzD#aqYhT7F0q_R1$
z1C4>|K2F8+h{TgWeRt(oQHQ3Av8sA)7;boA)4)1~yiF+QOotVeCS;iP`92@js51Mg
zGe(fW&_6cGzRTznqL}`-Yg%yT@zP6<o?pnX!(*OJO-raaQ)c{Xza~gzuGg(Lbs?Pj
z&Z1r9B~<0g&gchoO}IRH!b__19pa>OHbwo@BARq4lAEiV4AF8thwfP1L)^Oc9(YAA
zqW(wj4?k8U1DE_6$t3I*x|8+kMZoDr^b~IjawwYwhgQz;l@dOo1zZw_eg7?@hi;cz
zFA9;s#gQ*z&AS_&e<4u(>%k%#a6zWRGfe|NI5#T1Y5#_P32Yi@9$iE?@|S6|gf+m9
z<r$@_s~?RmXa4Wk$t5&_FlyzMLj;{%Ki!U&Kj`vh=bkv~W%T=3tCB_>5vWJU(-XKy
zP#i<<fv~n^v_dppGp?EdJH0p+9-C2g`h}u@06{>$zh=V<YL@9-Rcl57Jz+-AxLe~W
z68xtI*T0H7T~D~?U7-%-0kx70Y!by5pIJ7`@89eAr}JBbc*q~Wym^Xw23-%YS_{hB
zK!fhsuru-DVU?5~_~O5RsJ6D)+6S{O^ps8dr|3g!VDkA)DZ`a{w4Z61m?yo1Hc&l1
z5WJs9Jf4+?;SCF@q=<~yUGg4UPRo0Js80p>z6iI5$Sk2|_CKqUcT||o*MIGw<y64i
zc)sC7&N5nMHYLZ&M1!dWc;z|-DZ_DTp%-R)t7xym^AMY>v>4~LC30@B66`g&PSdZh
zp%(usT^-+}!)6Yi?i$zH_at)LqUE;@G&r@}T&k7<qnMW7^?r<l>?9t|#NjP;l1+3t
zC4&iDkBzyOu%A!9goxrov0aq5g44&elm%0+p*(GjQ3R<l?xo{qR9L8B1l(O^!@xzZ
zDxFOcY8)aoCDN&}p%F=(Tp%ZwJaaRkHBAAW47{GCu+d_P=~*G7V%*qyI)QMqngV3p
zRO4UFrNc(-4~$4<^I*O<>vI$B^1vJVaryB{2CS}cHI&_q4_ngA%Or)!Lus4ou8lbp
z_OEE>(LApJ=B`@)B40}$a4jWzBga{=Q`~*`7ukid!Os(4rD^2h_+Pohx1X?KPJE^`
zrdlExqrcsesX;jq;=8Z;K!OvSv-vVapD2bsu2eoz)-4C?C-&IPr@63I3;!`i2}$hq
z!BF}90XblEko&`Qo(DT0%zHd*K?-ZK^2v{-lZWZ?%Qb^^d{~?4MXU5HGMLRDOZ(P?
z@{qc8*pvPvKX!{>>3%Gm95x~laXjReJPgSz3r4>b#G)8ISPs3H$9OFMeF(HwfXn$h
zvkI6n#^1=-^(9>qYg9xWPm3r5LbaPMzbT6K9s4l#{*DqhrivR&6vx3LuV(<Sn*^p1
zylrR`tAah)j-h2ZqXYqsD@Pmsr7)~y^J#dt8m5I(bXDh-fjX8h$*ofwGw1%HN&Q+K
z)4$xVaidce>Q2TCC>Y9OB?{HwK8_PG%(8`!g;gC!oV%@$zLvu>iz1NjNh0PyBpPJV
zLx7t<6L@<-0V@?J^gjNfft{8}<^FtB16aC<O@bYYn2@#6-&@5b>{=^5lEz4e7cSZi
zv(8FbQGZLAyCWHUxG<yhdPWoa2WH3@eko(!sbQlBTFIEgd{(sJt~RX1oR{0NP{kJ0
zJkzYU$XMi7>RykA9t7Y&g}qNw!w|8F-^~MLOk3fB)Yf$aSY^x(rmMhX-EVXM^<N-k
zg2&853OkG-`|+jGi4=A0x1M_e<3keW>cQD{HX0zug!t^8FadMiPems$4XiQObPGu{
zhR)lmt)4)@ZqQ3<!7Kqgy7jML=q?2WbIid<pMXV~Tnrho#bal<%fsF5P2l>^)I2?A
z0;VdD>xet8j3s|g80lFsfk$&;)hYJs7`3L`@i83*j778ivXiSR>^v#Cl}N#36hpEx
z3%v{$k*CybkZKB;*=SV2s47O&7}CTyEQ;}`ipKEem_oxl$s*GODwy2CpJC(1eAwG7
zj5&hWO~HBC?Aw<RCCsRyF!bnK7VKQ6WPzc!DP#(_`sBqbV&|QP41><@pl3R0#4Nv>
zK<_N&#^!B#j4!M+qIPx&tqm>T8Fw=Ql6%LSf5EcY_tm?`vBw9Ih0ny}qQ5Ah|4xi?
z%10WrW|t+5BP+<se5$W)hbiDNT%=k#FM-9gcH<qg_mGR#o`(zfeffKJlA4CRDE9r(
zdnB@i7C7oEFQ|}>L9!!dk~3Zq%M3W>lXH~;SgxxcYIqJH(1Hc|Y4Blo6Aa6GwoGuO
zOJ8?V7T~2!;m<1q+?Z&<tayG9Gf?!W?y*}S;Pd{%Ywl}on85M-1z|!g(BYwjjvX-q
zxA2xSUkW3pvJiUi&=D3mwnL1(c)<{SW*O?IV`wllANTEN6c+GPQ$ciM4B%UFUXnrb
zHahU#D*G`#3yhi^yIEeN4@<MU)(7U7(fUS`L})29%-bnl5uMcosfk7Y2*M1S%s8WQ
z)P@;2=i8;KRrMfxIaA>B=pb4aFZQ|l9~0CGR93$C(}i3)iz-37X0&AVk4SPR6WA=?
zw0YXB0}YsKz(b`bMDUa`jg}h|3_h{jcq6I<FYBcb2jhMrCUp|;4(c+&g0;wxxFBti
zw!CF<FMJd+cE9Y!s=)+$;S9Ae2DD&LDQEdg$qe#aZ=*KtAQMPHWG!Z)1z#9vPWWUm
zARZ;o)0WXpu!C)sMAd47WYv$SF8RyIX7Y>0iAg4KO0&Jttf~oFI-GJHfon);Xy)m^
zSD7K;skfX%0U6@_TkVA8HxV-J2#=363rx#ySc~uTU5Ut#ORwHWyqc!JS8T9Am%~IX
zM==S;e%7RQlJ}6?I`P+Aw^)IJGeJi|iv;9?Mp1)4D)3846<WfvL%rU*wD)@rSi%X-
zwDZuw?#M`DY$OL<!{#d2oHbx(_6eu6JuUEE{<h3T&jnOGA%0^^MEH9=mGCp04irBf
z9;^Su1?DPE-~LM?LdE-(c#&0lm>P9!vG~dj<IiP0s&t6ZXy0+5&Xp1F%KMMCjqt!~
zbe*NhUjnqs42A0cU;+#J=Y`kV`CuW=Y-c%z0Ba&UV|$(~@Zf1|YQa%{aIw3cUUi57
zCb!jw&j_<Y6TXoDX{`XbFB_2tIS7#Kp?vK5Uv?0{Ed}-J34xfzSsTStb!g?0wq@_)
zgb3+{{^Z}npr(C9SJ+k^xP+rl49s&uSe^yD>QhnZd~iF`f?gdeT}_-v*?6F{pYpyY
zP8?2)Hi{K}!NWy?gCXKZywKfsTZ=ti61;_&Hg1;Vq0fUyaz2U=++z;Tcm9<EqpmBZ
z7fSH(d2=q}`6xfcybC<6$|(b>w=0U^10FtJ-7CN7CJ0UJvjNHn_r0=oZOCd54?o5@
z9tkZ7!9$OnBZFyj(9pt@DdM6I?OsLU=Gh{!(c0qGup|#QF+3>=f7Ahg>|~Vae_{};
z{-D>_MG+{IXGG6h5<uL)aaO}}-zysj>|b}_KtDJvH|!Mw=50J9-bhOUPvNMLvbi$M
zR%p@IQiwog*?q93EDgo4C3XbgssJ}07MUlBpkPQKyBf)W{CZXTc~v#ASM|9<DA9l&
zoVr7cvn<G*rlJmx#Y4eYhmuQ)B$)m+%jO#_2Z=Jt3TmC|koY_1mva&s6kHYeIx^+K
zBke+M*fjzi`uJrgrCJl_E>(TFUatW9R|boo&k|tcKL}4)(E<lCUw7MHMF>cEZBD!I
zr&cvZ61uiJFj8d2;P@K{C$vmac0VF$W<6N`is?dWVz%mTj}qj$9$@RgMg*FQ;uF6?
zA8tBgR7XmcA){CI-D4{v7{m`nu(lY0{+IgyjQ&%BW49ZxnoJVF&`Co*#o7qedv<84
zSN47V*Vp?Kb_Cd7M-LV>A@Jn0*7bOMRp<{>&@JRqhaWe;zM;Pl!1a8@jwM1BaKDVo
zrDW7#^yUC>DBc*(_Lni?{Zyg5eRlc&urdVAIBok^8-wPF;lhXNs&LoD%B%E09MDyn
zz15SUKt<=_o{b6>h+5L_=4+OR0&V`)vpy7%Jok~pO|1gK4AV*XxMkt2v{MmHJ_UAN
z-J~NWlp)bMqfGmp6!>@ds%6wsAg`UQ6v3?o9O04P-T9)R-8H7PTt$J{^gF*!4=F-t
z+y;5!s{nA6&o_Tdr9joO*%|p%1$clgm<ssv0NDWdx%?~zki#hRrnWqcO_CU&3A2Oo
zeNH9=NecJ|)Yo)$$O5)`HB7*P0f;ZCNb2pzP%Cr;sLsfM+q1SFqjV~es6Jl7aMc*9
z)M$f+)}>%wNIR*tb`9wsE_n8x-579JuNK>>NrFtk=dg?X^9b@|Ps{ijz-tCm&yZVU
z;3*v0IimL$85tTca5Vt<{TDm)YFijQqU@Uw`Sc-{+r5SPc?cwtN+|e8f)MS+{4Hg<
z5s~S+bh`SB5%`QKq+6Zk2QIPtlBCdRB-kR}rD)d>K66Kv?mF_qa^7RfTV>@aZ^rM`
zN}?g;e)?Oo6Tl5OQ+w8>*6UCqp<eDp4+F4qq&8fN;so;jI8S%JH>mmf<H;|c>BBaw
z-o;nGY*6{Uw8dek5}gcG3Dla@1H1C~;Y*dwKyJ$GU3SkxKe_td)FJ8tf5GRvU<xBR
z9#9Ak+RR0+T45$RVY<-Z8B>-iLJ!CHW^Dp5zePN3Y0@mabij$~$Dpe=E%Ybv4Y+oF
zLcH&IORy;Ib1L=|sVIpWGRi_vF!gsM_Lo>~YNE6up%m8>qD%!DZ4Vrb1b-mBv6&^3
z<65wg(ROBGb_ZF{q`t9oYY^#f)c+%5qXiaRrBApfw~$kBt@uB)jv%!*Hr3(#JZch9
zm-=A1iO{93M(&**Lu|7+DwPy8;eP-C0RR6Cmv=bTZ5V*<J&&2aIUM7hW0T)wBr7{A
zsVIufqLdU7l9ZK(RQP0+t%3TzN-82VqR1+nWY5pP&-K37_5AT(?|t8HS&?D7BP-bB
z9^zhw#&OJ`?VZueT}>c5H?G-rEn_ZXHEfr#X-s`aHKm1H6D-+OMQhoXv55&s>8Rs#
z*!!%cd#MRjpoW!mE?i#1<jzs<Wl-j^lsAmcWL7FHdlmeqsxD#U4=d!mxfigilOK39
zZcyO87U!Y!yi3^Ok4AkNTZ>rp#%N(BF9n#DO194^En&?EcZX-wtzcH_14dUKkiqL`
zcSmC2688P3>QOnVHLTxcabZS@44Gz`F`XkzSj(ly()n&1SkNA^=i9F}VB&Gg+Is9V
zmOYt_5vsQ^Vb(n7GFuI(erXtJzkdZw>M@P9e@p{)o6jnFTGS!fJ<Yn(ZWZIASH60F
zjTX-J6BERk)L}iof8pM_HS9EF!d!R&Jrq}_4(0Aq1Kwrt%<aZ?tY>~h>ee;`-0)#s
z=t@+D2`7?}pY0}gnpHP^R~Zw`zO%@m>?6V2>UhNz-8N>bJgo9ImIW*h$C_(WNg%BE
zZ2fvD4dl=YJv$P^24TUP*?g%g&?*yrV<UzZnzBV-iWhT0CL{L<(}ptq@)p~8P(}xK
zg>4!hEZpE8{)C|*KpD<`_NfTlq=&a$k?P}3Jg_xnMR+wygu>tR38TJ@aCg7`x91uJ
z$Tu`TA{s&jqq&9P^BYW%+p&6)w~7yju39~tU?GCVfZl$FDi-*|D42k|34pv$_2qL#
zO0X|Gz58(n8zi@uT|KKP1W_r+QXJfs;JtN>Y35T7u#Zo%n-bXtdp$0vxJfBNs)pIZ
zg)uH*(-af!)fI&g#J-g;ONvlan(+8vF%P_4@nilFEe>_kbJM27ir{Nl==P0~05h&0
zgA<#Q5OkODrEN?RD#p3ezFg!3U$<|c;+>^|tK-;X7WSQe*jA2|a|^(ww#UQr?`1%7
z^xZ>dTP3JI@^I6vK@jSeLNmTu$pNQl(Rj=YCHQ*yr3mX|VJL|^+_5+z4+rP9gW4^L
z(0cM?2r)|pn#a7W7N01BO!r_^FQ+n8uuea=sS|@<^ZRuo{zRC0v1^2zRRyLKYif?M
zN&={-aH?9UfJvB9qqPYMI&NK2EUuOUwis1K8C6yIGN;a#ic}%RXnpTRS{X>K6!iMQ
zrw$1vp;9#o>fraF$xPl=7W^(;RICisfPAJezs`1OfT;cQ`OmN9AUyxli1T4G@Fb?Z
zpXQ*zzM+`>qcRH6^Y%J_C5ZxRsCYl;St{I!t&YBzqzK2vKBa~KqCn|BPUo|XTCmX7
zNBX>^1naR~UWfdt;QKnXDy2>vtXu93_B$#AUk!U;!Y3+JdY)ug$<~ETp4p7pdn)iW
zpdvKm4;9jaq8f&>^dXKSm=}OZpda$3&!dhCy<4A)q@EeVmsiT-Z)#Pcgh~wGYe$7o
zQ{p$wYK(wS+={CrS`DPPLo%$AD3CKkxLo88P+2<p{VcmWxGfYi(L|Erj%dt2k$uMS
zsy8YAhqXEoXo_yJs%XGa=&TQytO+di6@0M8)L|pz9^VfwRZzE{?0wN~0{g%!({5M|
zRFCb;jd)9hA1u;xQeLKT+aLS!Q&$blvKJ@!@GC$G<CTfVkES4Lu@4J0Q-#2-jb2W7
z8K{?7yga?NbDotwG?kMCBiYsYLKnp0%!H++3x^pPnS~VDWGTbYF{y@#Y(Xe@5olih
zX9}NvmTmRuh!8Is6aD1`4~SnJtFx&wh0AE>QOO=f@S*X4TwBWsZ3VTj<4>7_Ko;T~
z50QrhhjhmV&aYt6ytNCobf)l$qsP_hfh;hno#42xIEc9ut&E=BG=a{NY;VGQX$T^<
z-!MAdhJP37K9R^{0<>i=ZNB4@Kp=dY`bC(=d!992Ur#cI829tP$pK=J7m-~#=DdVU
z@2z=3;V_1@p9NmM61%{~EJJUVcLR^2dvZK20pLh^WKkiVAc%;EIQw(ZAcjH}#&_%h
z4NvY}CrR*u-TYRK{SjJZk2t<YOJl$-+(LKnEDx|A3%#u&M~9X#Jua}&Gy;2Xhii#U
z9AKgK*>U1B9YSfX1WWtfAR{SqQ}Qk|+>47JzmY(PhTmLliwiY`iLUqbr!wdvOf_gE
z?g$;S_GR;an_~bmlBc-SH?}eCu#=7$7abByHM?}FS07q=k^;1DtYUTZMPhCFwCMiG
z4{@Vi`jE=usY+=2hy98wsov73MZu$6w=N#lgA(~qIe%QIv6{EdeYPz$$lAU;|M@dr
zP<Af6C}}W)c}h!t(DbE2?zv7%?lijaW3+qe8P<crf%t<5_-WAo1YSqcLpqS$H8sfd
z@IB_{ymI`{lWm;sxoB<NYi)pl7osL_^6}>I=Nsnc+xSRD2&0{ZHVoX|<6q#^j6d@J
zXyGEVjk~P>nJ30;L1*{Hd7|id94pp;>n6R8Pd@p(_s5bZ7zkx0MDH8K$45GYYTdW-
zw%f;3slJ-9c)51!df_PUSYm&|s%;zJMLWdHG(?3fUF{n$UybATskr+)BO2t-lK7f@
zWQVia61*1^rt$J;@(jPrXpl%nc-Vt}3dGxt7aYAihxgilIND%Bi;@d}6sR4iKqb9v
zf3o{LE^}w%lg2zPs{PLU?#Cn<Vnr!SoMH<&2d7iIP#qoeIzFTEFpLaGom`u5_b%d>
zzfRdaETu<*UZ2DKS;=sAZuD#5qh)-T#Oqh$?-)>t9=hO=r2!A0oH<(@w2JG;E^2Bm
zGa@d#n7>Xs8ZdZ%-zdR(9e>bMn%3aJjMQ10Jh=+g!C$2b>Dg`K7cVI^Zg;StODs1<
zIi}Pg;KFQC{>g3pZfVD9_eeHWDHtF$p|kUk#Eka`w$Y#<ULD@&2RRVC<i>x@H&r2z
z6!1xto(?_T*zd`8oC{IQ%X@xKlHkhSyy*pNdNeW}Yq4s_gS;{bh4lMLkaSL6HNBVt
zxt_c~!jZs>z9hvBQ$DLem9fb%L5&IdnYpbt3=&Wsy=(VAOBE=-TcsJ_%#2?2B+lC$
z<VP{-+VtMvl)+rdby)2-E6ONmnEyF1fHwXxK7Svq3{A3yRvs7F(WP34f1gT)Q27mV
z%#4^a#Qj!cxR=O@^7hgXA4%VZWIq+}dHJ0P_Vj}ZzRld|I#*!CK(;6vxzS;5Qb+_i
z7#96jk{1o_{TFw%PaJ6v?Cl^V6CrJ2?yk{U0#aA&Jm@4Pg`&Q^OA_3f-#I%=$2iP~
zUT3mp()vmxMJ~~S(&t3jyg1zcB}f3#9-fV2X_7%*srU2hCy4O%jJC6~gb;G<(pJ_p
zl|zReZmQSVD1(VvW#5@8Vf4G->1R!wJh~FIuzIaW862f6^B?{YK|UU`qJ1HXXsU1f
z!rdJ|F=n{=No-aO4OOL<d>|6h*YNS*UC|`)@yeBaE-Q&n$(B!AOev#qac#4J5>>E~
z9n46ol|o5ATz{^;AR(S6?Uh_Hb@){v8hvd^8fE<BHF_GUhQxEe`Mf!$0S?)DvCX?>
z(d|0~L3=3;bo6z@)O{Z^^c$E}q~DT5IuS86w2K<3kuE)aFogp87Q1K|$K=sN)v?@-
z7i1LZd}JwXlnQ@;g}I2DD54?;kI(PjDahgUZu8H_v|zu}*P*NoCDdY9Il%mjg3Q$j
z1}1bmppE<N6CWfZ_0FMESxqX+rAUWP*6YH>$_Koxf+`4zOCgQ+RP=g};4R)K`k;Wc
z_O6jgh%2h*^B+|z;uhX=RZcVn0qssLAu(0t*Z!m7;Rgz85K3oYyI=$gMyA<0-&K)!
zZbla-KtYW!bh(U30QzrJ?28Ypq04vL4v0&T(Kr6(3~5edsQGefv+1E4a=1HU(9@)j
zs=2wpX>}XJnhKZ6rwlb@&y~1zV48#&BDRM-qjxwWH#<hQP(xqCyj1?y5K%)+u9F;x
zDQJ_**o#V3(Ncl8z!O&mG%EF{pDVx={&-QjX4*)IKijrmX-Ede9e%ONlWz(WgD<?U
zRjHsK`&%>dWeGHjTwG7=@Gg_j=#lYpWke3J)nAAbMtq(Tr*(=<0V5xM5Iw4dT)1<e
zVz&sWBVzAK`AeqIUbQ_Ix>pf#Xd)wlOKga`ouqM(Y6{oZpKjZx$)l6=GtND`X;GKw
zjS!t3zQ5kKRxAA`i+bdv#(R3^ae?Y7+7o^z5c6C93rSc89cUj@!hUz-u?mYRQ_IG1
zuzZ_#^OzLM=ci#l<=BSZPIv119$^fWd+mbdf#QfS%BQxiXbhX1b*A&6H3l||HxDOG
zMbJPChf{>>Jm$ztYcL%HFud}IQ`1}s=^pDF^vGYrtd^D{b=UyzZwOY!hV!H1%N4Bu
zrLAJ-9{!9?au}?bA6|I+n-_U-j}~E`>)4uR7_XC|5p0Z@h;s09qrdvwRX%nb*lB<H
zZ@AlTsC`g2tyaf|>P|OWuP1L{^9-sd?V}B0`8FGNyq5_rEznFyyKZ2aRo@@Ymm5HY
zFQvQCl^(ekrv|itSjSeRZ*F=_=tH;5$g^LR9e!)mBv-GmVgKe$C5(vraEOo(mW^xp
zpX`?61>QAGG-B|CNT43@eoJ>f(Xxnd98vb65nIJNxqn*3*XY7p8~=5S<A3q2nY<$#
zN-Nlf726VVE?qE8TElY|CUC+@g3D>MWlZ5eo8T~S9mv@?=#a@af;X=#Mhu@@!n(!v
zmauwlAhZ`yKlb+F;wF(aPa77o_iM*)%PVRF!{O++V@z$h;Yxgmg6<-=M<G#UBx%P>
zgOc?H^55X|Z?q2uw=7^eiR|jwx+dIB&tQ+boPyC^o8`E5V*&H5zelC>(}WqZCEonv
zI?Ot}&-QE3!cNOg9Nqp!1?C>o%$1a{SU~*ST;?kaSlCuV7uO*w6mpGE_(*=k;v*an
zetfZjt;Fu@;_RkCnObAZ^_4zs1=$2f2`^$+1`R^}t`ztad-|sJt6x~}WW}xG+(pbG
zO~cCT2O08Kw$XL_VN7*qEojVb3EOwJuQ>4p8KyqpoiAz~#iks-($Qec*!Ujx0hrT(
zF_m4Pf=tJ-6LiCuxb0Rj*%s>a;42znpdLv2T0Vhg;~&kg-(1CLbJ}GH1Pw^dzi>cQ
zX&UpGcM3DxSi>^)FB_2U)qzpkJyH4DEH)L^))4n_16w5D;oiEc27xR43ae%RV%1IC
zGJGLh*f-^$2V!^pTVf(fNi1p}d)mU|o@Pt~o!-@lS~f_~&YSe!a{eEt?aG0yPSS#j
z*FnmNDGAaIY>Cd{i&()x#Jj`K>EK~OhW%i&3YeF?VsVpN#=^qLf);`du%h$Ydg`|_
z?0po`dVh2Ull!0{^&^)N#ut7I8kj1B12O5>g|9muF1X&e`!F-ykWVcYcuIuMqE?Oc
zp$*LJ2sLODV}(dtt;635L{P}T;Ppjz8#7t^Ma7-iK|E*wm5o>>;P`p*p~4p$kj#Hr
z|MvkWxSqMZn~y;WtUoq!f0dzwj*@t%n_N8bompkRGeHs7c1QGe+@*)M;unX70(fEl
zYe%7s*iJu|ng<;rGXj)Jpxv_sKvI+sT(1?NV`Ijpb(RUTR^HNmP2-11o8GQbPX!3u
zDt}Yo%>oxF$68){2tuFR>awn=0<Z+TvGGi^!CKlE4cddkP?UHeYkXK9=zZ&6)>1hk
z?7O2&QG^Jn*7Q$l<MI$L?v%h#$_=M%=;#aD#lZ1!YRs1sd3bYbJy3?q3yCVec@>8w
zAyQZ=qWzUTq`$S@bM83-etNG~b8|>To(9+U=1+Op&FAz)!;&A)nVvPbi<Q~&ecrey
zvI@}hfJ*dd5d^`~<ey<;a-j4K?WsvpfPu1G-Gb9XK$~av(YQq(7P@a5ZObWw-})`(
zhLv3~l4EEPdS4M7%e890Pbor5rmk5!Nem)Q{Z^k|CW0IP<^5jMN}!-#>pm7Q0g)Ee
z=>Bsm@c3PhovoTOnED^cO^cNRhE6_Sr3h76>TEmo;H3)0HPhBt_en#HfoT%;x;iwZ
z)!cDRRt4SHcW9+dWZ_6$rqRO39WSIdiu`@24&sYyJqs`7;M}@(|MfaD1W_k#U5I4(
z<?XqlqOAZU<4U=Y@^^Z+xhZCMHU(HN|Houitq2G6FI^u$Lj}2Q9{Dpinm|#)8jKBz
zP+Z3TrIlY3O4AaJdgQg?iObKKlNHL)UYL|cb5#?%R2$l@iMjwk(=H?kkYHKXw9T}5
z=YH+NsG#jm&kmfg*Kt(^hey-&Wl5Tl>C1NiS)3tgOQbOx`KbYu+tm+TqMGpirAJuD
zhn?P;+#;W_PzTH4tqR!b+zsu2F{Kv)!Wh$y9Dk{U;bR(`3p+iInOvv&9BB-NkAvS>
z2<-T;Om5cj>m83VPG6q)HGve~XL80o8gNW=4~d;s4Lp-8C=wc`@OX2GNfK9w@i{@i
ztA@&uC9cQs^Vt;Qa#z<+GOGiBhaQKFt^y$SZqGi78Th3}X?bp`!nL~hCm$)w0NbY5
zo)@RhU|>q*$J1vdc)|NlYviOD2=jGF*qk#1eZsD}hvF(=IA82(xXlj%5j4kwT+M(%
zl)v-L5h8>!i02+n=73^bj{g4y%;18vXDe5PA|%^{xz>K7f#3j*KK)la9Jg+X7mbq#
zinY120qrDKSx&XNWNr!~PbSO_uge0@#Qj9a=bvx^BR)FOk2}29QSysU+Iin}AOE9x
z&EYu&THP<03G}7Kowou>$h$J;u#K<bLXqvV(pARbRBYvkCy2t`70G#7Gg@>tkHC9f
z*%)T*NYet$!Z6lLcCR8Zpy{b2Jb~E&ahh4a*K7GfkgaWmd5aN^E6?Y9NdRm;Kf&fw
z!VC9&|81sgG9%p(gM?>B80=;<sXP0Q6Yd+{b0`>KM%tI3opG}^f{Uvrp5r+zfM<Q%
z-z&p{hRg(-7>@4-fjuVQ!?)?-K$Y&Mgcu8IB&qm#T{DC|(Vl<GvbM3dEXN4-5oUD%
zT(jd!nE|-3^!e!vuVAZ+{dGdOn9)?`aJ$f$K3FRnX?{BN7jto|DfmueMowiK>wJp(
z;6i^|aVq~eR`jm5fUA)Sg%qc<8VBe>eBphb&ZcgRHm3RC<sc?hetzKBcC9YxesDIB
zHZI5HUdrq#P-H^qMfyD65p+T1qROzD-Deyubc*yA8PRgCKO1MD4s7Mw66+;@-~t_G
zCjx&mqN`0KBj?(*;qR69v+^9H_@nvjOlOA~Q5QY!wR}BoIKJ<YW3l%nzN9}InZ?S4
zp3Kyy9eSz-$6UKNYah<x_21Ipzj9zgkJkCkokg_ZD0`2yzT-b!OUL__!W$-(5ir;9
zlcEW;>4Rn;e=OqV#YRee`<RihlknwmZcVs-^srWd#R~o(z28C-9Sf=^T_J`fQ$gv1
zu>7${Yxsv313wG<S&&ljD#=oq3Vm1hd9Y7z;63w&BR7Uv5v{RZ(`pU{RBy^eQZ={n
z>efQhaBg<w8o*?HOOpbRIJtUb>S&Pac<H0R-W=%F=}SW5jbu2koO>*LmKIe%AZS0C
z;6#6(YJRNS;dn=J1+AD8JqnAio4k<8jY?Kz3Z62M!9p%LE+l{fElXVpcENcNg{Mo0
zsZaw(dbr;6HZUSxJ8z|LpLvm?(#dSu{TkpuF6Oa^!i=isUmNky642hSBNZ-88qlS)
z8RGnc1#Q-}mB(oCqg}%P$r3K91FgWTsEGY+C^I>jQhrMS=>=vzJ-ey~1qVZ`HwYYP
zk~bt?n@b3Fe=!)NiB*I8!b(}Lc~105@D+dQb77<{F;0|{RRh}1DaGkUZp4(bey<`>
z1l>RIOY&U1D%79UxiQAWi`ZHRVqWhTLvQyxpPNosg##D${+=-;psjSTJVp-*6s=8v
z^=+Uk_>P<*N?qYYxf+h5W|mUOgy&n{IZst+)Gyob-OG>Sdqe%)LZwkypg`+ZkSY|4
z#JWDP6GU4{Pl?5qGALY{o#SzqD%?&O`8hHmge2zlMv9r_P><|E8pc^w_<BsRQ#NrI
z8drR4qwgz^?tAPF*Y;L}sgL#vz0RV@aNfr=;HLs&8htx_n?)V!T0B@e^~F)_EAY7F
zu7tG4E8mv%s)KVUgOR9#B$9Tl?K$_Gi0JENY4U<Jz$BO<!Kz3KnenIpCvjE<X?^Uf
zkKrN1wNREEh7ZyxNqT%=#RdskYU@Y}e<g$A@{+^Ym<;-z{2-|Lq8jpdjvQ4erobk;
z8REw;hm2LU{B4HSk%yA!nSo*|ygi96>Y2%-mhJkZ<a7<Bll*?-cAF-Ija(QJ4pBe`
zVb$y>rOBvM-`V@HfHsWro;mm@OA*xxThhqgBBPtO`wxtq*MYFegFKJkDj_?PqnB7W
z8Tsq&(q~xI1>eGh0|8%%==s0TnXdC>H2pVz;bE*kO!QjrpF+wg?tana=Uy^uwZ8Kv
zQO*$L@TQKVX)36Tqo`#21{tN>@a2E0-wlzZP7!5{gs2Zn^FGj%k@~>N=Ywt-Sm=Lx
zx4W8zrmoK&t}xL+xbB}tJOH4vXVxTpn}m=I`~2cvHFPcI5mS|fF+8vop_^w@MHzE8
zhRt>)6c#TXuKmgwY!MoK_nm}*i$XtFOGJUe8`lc8O<=D>UH$lJ64Gk0nLW0wfJ|pK
z272$9K-sAV_N4bJs5y&9KvP%_t?QPrYwYwLop+}k>!>n1{vlX8P*)m-Mg*U#TQ&ik
z_a32lz7dfxHd`swFNQ|w1Zx%6b~vIP%Rlf)3DFKY?QYBxLJk}Z&02#d@FRKHKG;$b
zWjh?p4s9hMEu{1BeyItxno<Z_Kjaakzm>l`Cnu8VT4@U2=|?T8C#+M)<WN#hVHQ^g
zBVw=Sy761s1Vn7dk9``DK@&Pce?_9V@JD2gk%`yFkRvl3D|t*B{dFnJI>EGnAN*7}
zMCW7-pQHQuLRux!hU@(j3E4k5cf$`k;vayj0L7;8H8IrfU&BfFsRP%HpRH^N12|`W
zirw8@1Vzr2-{O@I#u(WD8N6l%SkOpnUwtiv4sd!_SEn>%tVw>S>$Ncu9_;HkJ1Bs-
z_#Sg`6!c&n{visX?naO`x-K8Bz=ufx^(z~^=*PG<Lf^H-?*<cLzv5&WUW5~dkXZLG
zEUGHr_x@``(0!Tu#`!)M;uf*;a1|ZIp3v)>o6H$NU(D(u3oCYHaivosC*T*>l}Q^q
zO)`Kq?r!Qq2Nq;Aa*noCxF1`n(h<57s1NiRALix@8PQDEy-xvFz1W%Kp8s~e(gWG)
zS06_m=+Vl$mJx4V7xvXrAkmyj5B@O}9Vh}?M7mw&bgQ}*+oK+IWALCZOpWQ>H5lH)
zQ+$Hlu;vDASjY8nak&oEld!ZsZ`bkh=IGg+oR^sN)s<(#JUXC!NP8iJc@=+LVotY-
zpToo%4u<?YqYb2&{N6t+m+&UW`DLe%l{k}*>%Z;qTA<1P@aw7C1$@Etc(RK32b`{O
zoc+`uE%1pnKV>EG53lY$o?0#2iaT{a(V(r;1g<>2IJcL7@%r)hE27a|_{)}7k^hu5
zp?pNb*!001?)T%<QP$30+@>YZoBWsxVm~RnCqriO`SojztX#ivZKpfLI8iD*)DLZS
zmzcqCI8;W3mJQ*zjZfZ6xK9B>cvMu6(lmZ)mA`Q7z$iX5!+1?boC25c4hnp@F@<-S
z|J`C@8^Z-0?}q5+kRe7LYaGL-aB@@Wp(~9Oxa1il{#PV2gartf+wIIPj?`tgJ)Xv;
zu2=27wd0j;$DfDjUYo*YPK|7jTh8Hi1u6W+mKq?@^;VLWYa0K2g0s(~>n~nr5$eEM
ztqwC+`!WQ&r}5t&bYHX2{lnWYERKr&QG*R?8Pl)+89dI(gyjW!5#Lpznt4V<4SW`y
z>)i=+c&qQv@Lz1pxMr^3WoG9cj<7gA3F(}}y9?Cu0;W~G>cy>;_EZv_xYf93`r<F{
z=Pz@7gt(3e+&o{>@m&Sv^Ss$VzM97?#-h_+Uf9I-ujj@Q6jUJlEWhUQpa1ZqULKzd
z*0=HR4^I7k6s8Pfl@XDD<QH+G?lqZjhiH+AllA$GHX<0w4!Yh<Tf*5=PGs_R(;@B~
zmAj?MM7YQwWVxoYf?wmSk)S`vfIcVI><h_If*7V3KTT#=@u!|9r#uaqP^*~ef$uwA
zc_8qh-OS)R-o(m7*{#BYN`pQ#6<<(<j$H%v>&#m?^1fO%Z^?!n7OyRzT2g>w%k__c
zDKsdE^N6K>CI@;=#v`)A6~O#JD2-zzE$ZoQO;AweM*dIjZJF2<fXN(U2WEEmtCCgW
zTj4=swtfazv*p2M|CG~{C<Zh<HE$Vpd56Qf>qG@}c{t*r^n7$@KkqKt`bi=`TD!XH
zYrG@}aRMt9CekeEcYXJA^risXqwDm<r&10wFEKl&Yq25r<i@tt4Iy-AzGQ#gRk<CH
zwJ6@a#DN6Q?mpwMEP_}yn5{-U<sf|zn{v-O7ZTX)wsA@jL#AefR}BuxfikT}<AFXN
z^gjRq0RR6Cmv=nXZxqMLp4oeEuIpZVUB1VxRLBUS2+1DFD3l_RtcXHZqEJFc#(k7j
zA}jqelBkT7y+=R)o<E**Ug!0B&gb*4KKmf-q^KwwNV(G8=^+K~bA2HK4jjm^YZ1@2
zCWZq3P#AcmNWt-+Z}e|&a-!pvK=O}}Ko+M;I^%|<;M$EP>giT))THgAeN;dSop#XI
za5*9k9~*nYrkocU(x1~!{UVKS)w7%a{UHtdlLxr&A%5g{zLG_?Miw=s6dA8p%YbHx
zZ~`rb5DI-Ce0jQ59+{qhNAd5aEO;H~6xZ+;LGtrg6<$~4kP0{TS&T*=BK_GJU9X6t
ztJuN*_HI1ld?PsKd|v^En*KJgeHBLqd5x5w3j}n<S=Ed0x+2uwyvZPHA&K(dUK&fM
zQ%1?|bp^F=l^`c;;1W%*6te2rjZJ1zL7z+U5%=qfV9s~))^#Tt6dAYUJ42z0x+<!^
zOJgdq_+0nDnZL5=eAd(C($A`>{qvLWbla*B{hLwc^A&kC)3Wx{=9(I!!kyeRm{Et&
zj;kpWv^XRY->`FkZNFapYWp^|7Lep)JGMd<ky&b#zKV=GlHv%NZ8g$?Egmaz*$zDV
zNiFsPPos{SlecgC-6O$Vc+ytpFD3LxmYtN4sD|dAYVwJ%=tBu-va!qu0^%S0ruF){
zD!R$SVws!|5E6NNV?dRNCL*lmG$K_{-_k_G{Br}y%<*2?wkM*xzU868MIxFx@$-l9
zBSZKu%=jn%1QC5@^uEk)sDvtV_HH-^8^N^O&BZ^0L{#7vr$eEufbIs2?718?hMfjV
zj>;ec+E}=~<-Q}0z|+KEF2Wdolg@b&Pb#5)n@gq7UWlXc-OYD;&y1mUR>o`guOjj~
zl44yXEr{I7ay@ai#^76B^}ymV4%v+dw0Q(_qC<MB=hBjmK~S4_qBu|<y(!3c=B8vo
za^7~76~@Lea&OkGCv;yoU%!p`eBLAnaI;g4jv0Z)k7GS2yrj{2!}~{Gy%;11>iqGc
z@-TwC)lO4^wvtE;eR!>y`3rNDxJ;=xW(X&Vmp(o*6-Q%ia(lJu8(3gh-uWm?LzvD9
z-yKd8K@Bcxmp;2w0wE++DF_*WIqyeJmIeXT*4XbHtV9EnT$7XW$_5~G^wIn!eqI!=
z7vSYLMhEF(i`xQ^07y0!Mr;k7$gnc;$NeV^FmdMQ*+Nl(g8Zvud0A{o_CH;go!5-;
zCabvry&eW!FZ?y$1v8<F7uba~TPDyZE_8Yv)`tgo&d(gyrbVLFH{<DIncxFsSQ^6_
zJ;=I8Oi_xaL{wbn!SjAhVA0couox1ER?hqvaB++58=Kd5NRbJIu4DHdp6Y^J+~$;7
z_Yzr(T{l)?fDx!eLS|Eb>VW=jg$css6#0SZuvuI%Bh0geck{{Uz;e7m36TCHyY2Qo
z?&M*F{LcY`>H*qd*}6Wjb}NHyb$cT=<2?i1Zz~wrL|QN<%ARZQ+K;h)DD+TGX8`I+
z)6N9G{d%M3unz46Hh1?6uR<sT++`Hmc^sw*^{RIVzx|uR+(fa9cOw|!$t1xU|5XFN
zG1WGv<}YAlw#l3c`3yjKyu#OVSOZ+%F%6e5E@PXk3B$){8Q@hw<N()8bqM$KH0`5a
z$DW<mPbhU{gy!Iq?-a`FVAqpWf9cmIcFmEIjbfD%a5IEDr%E+o?@borFW$kF&wLL|
zsb>PO4|NaN32Km)FcK(h`VY(8e35(UAu|w(H@|Y%sX|EZq`%l73Rq6=O8DK(0*1Pu
zrF;!l0e6w*Vy@Z&STHk;lRR(`-uN?Jko=?q_fPnW3Pe+Z27R<iyAB%^od0p$&PN4|
z&m`xJcT>Z^3N~RoW_ED3v~eKPtAKaS&zf~vTKM9r?OwUY4)^H-4*h(h3>zszttzQ>
zFgBFM-oC{F;u8l&o2``r{Q@5yMg|Bx@ja)Cp9>a3jQ?YzQie*!?`oO%7{OJSCL_;=
z8y;wznCLeWVLj}q*i!>$c#ONS)n35^F+VaL`a_BE27O2vqG5%LPMK?-l6=tn=H#Q(
zBqF%$YUkO_9E3*6>af?1{2<=sD3!rTgbQ+AbWhgVpglfBnleZb^e&kmz1B_uuHA;C
zK`a~~b-M1Sq?s^0xWH6Xc9Q_)+LqUsH928m^1SH0i74!-F$R&{2r%q+WCkC`1r21{
zUvAZ6Ak)XHreRNj&!l^O-QC=9i#wKhXh0ki)%LWy&J#eBIqGN_i5Es$z*dV!5|~V5
zd(yHAfc@69U~cCF{qr|N91clAl~s||uUP`vvl$qOdkBDw`RJBrwlu`6j9+e0CW7Wu
ziL4)@LLk(5@>1EV3{*COHp6uy@Lem+pj;6KJt01Yd?z_DQoJ5_?l%#LqWOZ+<D!sJ
zBGO6wULI!nn)P~pm4Wl@-tPNFF>p#98_HJ4!F2SF4~{_v=0;6?jdsPMM4d9VDMt|m
z#u%BzUa3HqH@`(Qn<O+0rnLGj<6+j~tK*++RS>SZGL$bb1&)*^nL4Tj2<N!BqL!=%
z^c#<!6&g#!V6=>tnj8_%a&(Ke7OH~?i#M^_Sq5q<uTp2^6T$F9GC{px131Jsy>|j+
zVa_h!Bz}_!);}e?=Y+JN*F@*p;zc>w;1Tf|BPfGi9*y#oC~c@`v57e6B@a>eb{>wB
zl;LUSoMil89bmV-5ck?h0d6UlrZoyGLnJP@d)1Q!vTXHBNB0!qq<m%s?mZDq8PrD?
z#`T~v?(+4}bR1miYg(N)+Sk)29qzOR2FNk~hRqfZs->R(<QE`-ui8QV6E*-VgJ<1$
ziHcwpP_vn0iHC1wfh7DQK=J1X%*!f@u;X$(H%}7>N+aef84(7MgrklK-oruTQ^&Iu
z<8q)lyw_bfV*pZr1qUA9!NJS2*T2*E_wk*B!eB+;5bzh15+AQ9fC-c2>83Z5uzaPv
znmXJNUcPHk36oZUGV8w$jd*c5l-H5=FT)T%dDwGh;pE|Ig4h#zD`AMY-b^B88NvhZ
zzd7wJa$u2Nr%{*62X)`&*mz?MK_%@oOVof2oX!y?J|l9$^|g4O0$W2^YV{~fij{_C
zBLS;;BQ{t{xoCfs&k#J-BfB5UNr8dNL~woy16cZT$QO4RfN`bjW2(0jFnel3(%=;p
zluO2SGlm*~!v$k%m2=`iWcu<cyK)!f^;zCX=QRMM6%Us$Ok(i7@=vbi<5i4vu`g`A
z1|X5{il=piFf4DtxW|LPn3Ui~vcz!!86oasv>^az+P4^I#(!YdL&wt<Ix%?pW->A@
zhY!+Pjs|}T7{S6QNshc*`tWe>yK#jF52W$cKN5)R!<dZS@9yCAp<43aX1D_v93nm}
z?ab`JRJEkCHC*+8x>jUXAe;m4_g#$6QAe27c(-xIeG>4K!#kg}u|YUR?bL_37Hqz9
z!sPcCT^Q^<vpwR?3g-%KjfeExu(pP{Elfxkj`k=nus>vior6i|=K4CYBC_kqJ9izJ
zI<RMDhhu;!A=d{P?>}OORf6ep)!H!gtc5*bhZf4a2j=3;K4CLR|M*!NZD>y+)V6Za
zfalC2&%pQ)23eA8n6nnh_){xf^P+;L+e*^$+uyLm4IO_s8#Q4igoSE#n-X;L&ZJJ0
zCb6nEiN9Wgnh@M5bvF171ssmIpE54`h51_1UiOaBfXh)dbOP7^VN1;Sg6w2wu`JsI
zeqVm8gXe{}#s*(@vERaMb+m8(VD5h6?RQS8!$Eed?@iZsFrKK)%^R%?SmiR2>uR?e
zG+|7h4=-<HTG=IusB{Tav0|x;HCBTvv1@amo42q*>O{(#{1xm<c3N!`Sru$OQjAw%
z3;Xj}uC%Ib4HIb>Wr){T1&UEiJ6EbL>{3fG|I0TU*yi0A?&sQ6;IohATO*1s%&JBA
zr~B3xHriL>Dt=f6NY?s&k!o95$jWTpJF{J^_|e#->V9Qdp;(qK&fCHk`bqfUrhnKQ
zrxqN)t1=`}SKIDrZ)5N9tm>6=ln{!GxNpBq1cz;R2&Lb_zWJ}1F5Wx<|NMV{ibx>B
zyL8s^0{UI-i_|@w7bP_u>uAWoB}s((MJOxN*~6Ta@R^F4G@x~1X~Fb50o;w*ADqbl
zhn>x$aKCwo4gy(UXtnI;@D~L^Ih#2YP#c_Zi9(10KKsYs>flm>pYEhco$HjKPr32%
z1P>ErIjf&&_r}9D<TqY&;{a5av`SpiVF817Q(t1IBCyU+ylyI`0@h`d<5@`uLH~=t
zd!ec#@DOJn!!$K~m*{fNq-TdXfwxC`N^u}Bs}VyoqXo&Pw&e5YIN<q|f#*G094Iy%
zC2sc6!J^A&AHoDDIKC+uX0BBL@j9`K6p;)-_NnFejOGUMNjGU<a|M`WnSac8f(h`O
z(W+T`ys)-4@mh039(FW|6POhX7~fdQGm+qj3I$@9W{o^-U8Sphc<mruusF8zLrD<w
z-Y8zb5hD+^X3ihGm)Kw?edc+yhcG-BP-w{UkcVRsp??_TfXwwC-uLfB!5F)kXn$57
zyjUg|!^=3qGhHC+ouW8o`)F=+T$YF23fk9<L~c-ccK%UVk_6bbnpzj^_f=!`YfSi$
z2QHqI;P<4G0=cvoGfr#@usRgTdbEHKDBoOeo=%kpgYpqg!d(Smwweq#za;=4s~n@l
zRAu4o1rC?%W;p0itt#TZCj<}s^p0GbmV>x+VrO;t_gppfb1?e72n3qXKG-W)095#r
zlyVXeY6L%A^KCJ(smb*43s;1$K(ft$FO}f<V`VF^4si&P{rg+rR0;n04u%S=5@Cw}
zZsHoVBz&5(#71a{5Jbu6B(m>gKbm$9zBnxfp7-xjIgAk@xzs%|)mjCP+bZ2&te1wb
z5${e|lqdr()~WJtp(-r-pOPNnlm!v-&Fj`yDnPH^xHZA24h2h`$i!C;qL#h+`A1b?
zr|qzxUcCl%xw$E>H_F3lE@$~kEmas0>6ADat_8W2Nf!h5{pHuJm<;}mDs*_<2&J>p
zfxTiMg<~9wa5$M=Io?ziwqz0?tpEuIpT4LnX23&K-K<gOv<g&cU7nm()`z=VbOous
zcqn0Pi)J@ef%#*l&QnYP8EYx;zd9>H>ETqxlKq^QV>py5weOD)&%IW7{a6Y1%t^AI
z5=1!HN{&q2=aCbPlTUM>DuI|lta(KM9)=o(d|HDIq5q)9#1$_kFqU}l7G|gbHS-ZO
zKPins=<Qfx)-WFC<$}Z+zRG~}&tnRj-bS#<@?%Dg1`paV$`3}kN<y=r37zQ^BlzX{
zE<JS~2a)`GmhIm~fo(|W1;uM4Ak_u8A1YD+<MfG9h7<fyz+k20T5kl=gDb{mvimx<
zJ`(1Qal+MpE4%4iM({BBW7AZkEO6)qUy{#Zf^T##EdNZ5p!7<{BbWcAfoj+yTuJBv
zs5UOXcl>P#R9%x=v%FG(v?q6E1Xr*vib3_5eg9obSL3%oDFNxNx9r(eN3hiV>*vq1
z7=l|^q^C@d7!VJw+KBP?klQ0ie3kAPKq2X{LjJHY<Y_wQM)^;Z|13Bx>hTyr7h}xH
z#D@Y<QNWQ_8?{8P|8DIfa1Y=ValxD>mltl{IeFWTcAd;F?Xa9748Zr^O~9>#3nJ=(
zx>96|JX(HE=ED&T?nL>1t(4(_pz3d7wyZm3x3#9xyJz&l{H9+#d*ngzm=vj2=iViU
zes6wxGD;6fjLIj)_?RHyFITMDdzZYD+<U;Lm;^Udd~qHkbl_5==RU2sOWw`=(Gt_A
z3w#0XEqe)65NN~g(e+}7%oZggnn$M#Wx`pD12z<3mT|1ba%r1v_=R1^#6$;vn3h%3
zE^J|n@TrD}Wt%*?cQ%bFQ5&2Pt@))dt608a2j>}qEpkmD#(HH?3wk!}lQ?Y_G1}FL
zufOCs$thUP2NhW@@ZFAov{yQdUC&-je|~6#JX#j@t1Vg+9x$23mEW1f)V}nbZi!qc
zvkpiY^^Iu2wZ?XXL;1rP)yHD_f}S<<P*xr#o4y9v$2HGa()D1C(E={4CTnCG4QDCM
z5_KS5F0`ahufyi@KJXnMUnQHd9eGF3t`5Y{1d^%qV{%PvYC~G_DtVGHtY{IV23_T~
z$~(9YvU=SE`xB|FWKqBR+L2XNI6Y3^bqe~)jWOo(*GgB(8n5Km<NQ^j??z3idG{Cc
zEM?5^-kDW$%=U|Uh2JV5*cle&FgixIpkeguvRfnny2)!*vCn0ZW3;jSCKKe-Cw{ll
zFRhW!Z)#I7%qzoy%b~c$jUQyHnI}lMah=Q=RNV3{Oc`$6{j?sNF+~;_m*TN`x<Q7E
z0iEaf`HMDO{iU$fEcsErEKgGZCOMMx>-^<(BFs8$i55JcBNHmG8%D@(laB<o2eL>L
z!Br7DYE0+JLsZ<S_@C{NkFajKDufasNN?*ltSykOZ(Ys(>a#~)@Hd+m-v9q)W&gBi
zZI{ST9iN{&MWjIX>s3Xo6L^>&c6p!Qu}n_vT_z?TrbO2UzsNO7;(@&^<!kP-Rq`LF
z!t|?G51=n=C%LctC_?#&fwbt{8hN&dyY1F66&k-Cl<5Bw2LV$(+aZrP$eK(C&=Ch3
zq&s-Yppp#->BNGwObJ`$BJMRp#Xnj!pSpSAs=orvQMB1#PT3(pK7XcXyO$n~y+2r}
z`$-;@#`2Tyw(XI}`voFKdKppm!KH*_hVqcn(^#&ZPJzm$`7F$+SkRpdO-#Cta&Xto
zdZB5I68TBL%X#Q~5b0E(I9H`D2g0c$d@4t%5DnkFTOU0;vQ6gx5ZNvZPL|5Pm7k~)
zuatHBlgk{4@6jRO2d8AA^b-BZg;-kDzU{!C!p?=NKW4NZ*_8pubzjB<PV`99w6g$I
zK&!vNvYQ*ZJl|qou9N|`1C9AiXBbgP!=Cogb6!-_?Gx_cF9T1wj`ByOF{42K-f4kX
z{OF}^m;W7*0WP1&GiTRX5mTJ2?G}X)!V%Jvgk)vFNh2oWS|=O&Gxzj4F-Qc}1U;|)
zAteLB+WB&)G&xWq<%{67L^1SN>HMEFdNL5?=y%SwofCyMcIMcwizDj;q3U--WI*Po
z^{J{0+~}wFJG|EwNmL=0MWxas1Dk(vd76iKQP`Q#V=pD7kyDPn|1B$7=#VMoE&_hk
zq4<8?b6f@qhf^?DQp-Uy^@&G#S3#5+tsEFxCx_fDm3+<T<bco>!yEBf7_I2^7TqsY
zK>5n8C9V6uzfqRESi~%bVsmhd`MHYdK%e7$eFP4CbPr|RwG&5gz~4;2KnYD7xPRd!
z;Nj`>93iP%33RGhK=<egB66VqZ{egC0jh+G?@WnGAqrRc9&l6{<wuAV(0n99p2bxQ
zhb(E-ZM5l@t)YVE3L58w2r6K6$xb|vTNaJ%Je@LNP~F#sj)iTTD#U)QZ#k7Ahi2~!
zxZY||MfE?{H)F1;!;w#Yy=6=aNR7RtrC3W1F@%^ba0F<=>((L(o?skGn_BsMElLd?
z^++`yx}ps)Hi9Zfn-$Sj@2=W~%W7z2YQ<;wu`bkK&^mW`9FKP2{UCi%P($&F)}cFN
zdSKlsJZ0Ofgh<_oZ+OM3A|id;QaUXF+21GXdJF;ayy-If7O#SQ%dZ@^V>192wOFIq
zGX#XQ*E1N_Rz{D@VuDK#7{bO(%jpIRB1+=+n|^YHfH-E3$%uS11X&5ATB&vdBGCGZ
zFIC}CRA!GIca#x)3bGV5R3;$uuacEhy|QSNRHYKJVFaNe8MnobDWOTG(0TQKNmTl{
zDc``@7@&u}v{Mj|qSKffhsmO7R4s4tlB+Q^(^;4~KEa`H72BspNPLK)BZKj~wJ{X!
zo{iz5RzSQXXk@~Q9nmTtJ*_Bi3~3o6TJ9Qhs3$vzp4W~R@tiK=)9N*Xwmq9K{pK?0
zQl7^7yT1E(K0nosc-{zpSTo<pPD!B*A<J?5^PkC0L+&ZR<_*D!NpwTqT>=#}MJnCv
z|BmHSXiYi#8NyXhJH1<>Vu&@U@lvAe3g(q2p&0wq0Q?qyx1CiHMvTnPd_=ijjI_9$
zui<0>e`+-q{T}ioeZ6PV#9m5B`Dwp^eF8A=%g=s)lm``MQgr|2p@t;UDCKwyfZ){w
z12cF|^iY1i@^TgpTv=AaUwnYUQ_4d5tmABGO;pA0N+d1Re!YEQqf{SuT%_5@Pcoqy
zjm~(p-?Tuv+!e>(tOv~85{%>|TIA^%eXEp;4m?ZJr)!5v@M!+#7`xU1q-SoM!8=Y1
zoT8a~SE)!4OE+;n{oxK-S6#v6*j-w1<3B$AQ(YHEJBs7g_kAc2arLxl(gM9VeHa#`
z19e6WK^xtF$(94z?1%elAUoOf$*)>%z|(dsVGk$CrkQ-SuL5bnLEzvu5`{LHpV?sg
zacY2U%R!xSQ;-HeZiX>dS!sbKsE+t|Ws?U5o6+VMYGCJ9Q)nyK1oyW-4+1}QVKI`~
z@!u+`;pXh99VL?{sNtUkD71`XC23;2oq5ziTl9>LGf)GZOGnM*M}A;9A4xXXa%yOF
z&@C++R)+-IOskdlS?p1=YwZ2~_kX8v^;|Pkhr*MYA(Da%nB{Ax-VGTVxK?j~4<M_-
zQ|p9hjm1k?e<mUL`TqWQf^Y{8X{&+i%vsG4x>YQ^cTlYlM+={dUr79|SB3Yes_BX4
zI#%S572E%yh0dOTI4fOM@KNWDoV~e;&278%TD_tJ8^_P|-mg_)npMl0rEwb*<eGGz
z>YxXo2VAe!Emh!&#hFhhW_B^lg0O`1%M9=&?q@;kcV(D%=?`jTqX4O7>#xp7m>|db
zZ4z&|GQ>TM?Kq=G3G~Y48@D={;V;khTW3yX(C%O<;&VFyi1%X4W;iP(T}hd0tRaH?
zz-|;2P(k)v!`KKM8_ZLui@G`xfgyBTPk5dhzOH76#j3JHbnnXOU1}l>@~#d1vZ4h#
zC!aF9lN@ktB-_i`hXAu_FP?w=NCy`*TPtp5a6<7ZUpwL9eIJjA8lXAH07dCkN;L~y
z`+Qea<92eNfA398v<Wi7$7hFm)O>lsV`gah<aaz!(q8$dyUYv>T)+Ny)APZbsYD)|
zNIV!0Box=rv%<l<yiKHc{6J-1$G9$s2Ro`8WKtp<ls7B+%T@@2>C{q{_>3Yjlo%n`
zYIb1lCoRy|2}3@P?-4aw5w3h1{_|sz1NI2^;T%(<P*~vYC0nToK{o;&PMC2)j+yuT
z0Wop#ir!ues8a-99@9$R7H-gMAnROrkpRU<*T2b)DFW^IlZoh~ybxO+edSrLBuph?
z#nk)rEbv~nPF>@Jwq4bpJV9w_JLXj=l#Pc^D{0<)tpcFhm6=(7M+ST%*xhGTl;B~*
zD-)U$A;|aaBbp1y!C)L`nDVX?EbiUtGA<K=BgyxY$I9hFLgtgp?`;A&nfzesbQ6Pf
z9nK18jc|}?XyiwCp9srS+isp$#UY{d_ifu@MOcu(_dw288KjC@Yt73f;AM?%bM$#7
zcsmr??yjr?$4sA#hzv;rSNE-Zy^{o3C|R8$5mg~b6$nKKr9s^1&TaJqBFHSSJD#yp
zgOXoAImm}(;P0rIpqrL5{I}`7V3VZ|?+&j&I~%#r$+>?SnQD}QEs#_wzpDX>K9p0j
zrE>6SuPW#gy$TfH_@yLpRSOCReD3MKl7}7<rd{0r9Ci4*+cp9^;53$=J=LxN9tW=l
zdB~{1$e7>i$ZK8j3|;vWRf>Z>*9F->6UuP>!Trs`U_Ic{xwtd8A1Xy_K6}4*QwGZm
zr=lkWF!0;re{g?J5va>}Z@exeLXoJ@;G`XZN<ysXU%<nlYo`XkHvtC1EI-I_?B8K0
z67#6TKA&3aC*VZz`?>JMmQ3A#y+!%>DK$J0JXTj4uPOkA9J~HoeM7j+)E4-nM-k4&
zEKYblmId<+3J2>lLwND$>&s_&MVN5Xp1W8r1x3o96P*kDeCMY5$;%1{>_?WzlIq0a
zhVilWbzUP#BlR=z7%M=(pmyzSt}wh;&!DjsHQMLGm4X;XdGL8XP*X0#2Zah_4W$f5
zFr9itH14S^ykw3TqUYoUFCbNP4)6C}n>6&-mI0pdD1Cw$3#ik-(Pzvu1e08qw2)dU
z*v>iw#zr(i*_J%`$<PpVS(z7%<s{+JdxPv-^1Ik?WD(~&VE`eY>lMm##UcI~>kDn(
zB`kibx&C5=0aQL8-8#i51`A7RZhn>%n8D}pW@9D;==H3?R~QI`)7l*{CADGYjLl9S
z_xHKp$S~$phyd^n5<g04z9+xEu>9;lIRO5qKXKQ3dBK#M_I@DsC|N-#K1d-D13k8t
z`b~Ro&<LJu?lPSum+6lmI+m^v0@{D7tJyf=b6NZE{9C`su}X=V0gZaF#d`C4$p#zb
z4re}%P@g6{d<`FQ`$Yn6u3ZrsaaPFv@J&B1cba^Q=H8`reiE3|k80j|$_V;wM7$*P
zH2Hr30096043}ph)eRKJ?d{q-dtd9i_WU2KA*qz2L?|mFDkBXlL}sNyAxTP!US$4H
zLsLsgl4NE__I!PPKAh*A59d6;vzu{)h4c<H2;Y8t{mU!tV5zU5cl<>^Sw5`kG?QTp
z&Er+ALtj`RDncZ|W2Topa5QH3WSa?`xRJdheIFAHt+tFl`PfYc2v>NuD49UWXohw#
zodJHBn7=q1)J0ykh+}p;ZVdUAQz>m%mx#Bi(Hm;oevq@xd~~Z1M!>3fv>?K6o?s{{
zx-?(gN)Bz=HEX4A1e%Q(<y5?92=dJz&x-snq!`1QNZCX~xL<Y2<WJu}BKz?@rZjj<
z-cjxx&lxuW1O5i?&=(WL`U_2UT1)jLv)qT@DXs><6ki`5(mPJP>Z(8EY<Q1!c)>eY
z`&u7VE;HSjZyF&!-_%(;;CYR(k%-M$HPMICe!}Ih^$>9-<Q(JK+m(c}))O1rV?8+I
z<GR;E`46E`#y+*W@g+g(9NeHu)dLm*tq_UB{Y2+7TTtDpM&g6e07G*j9je@_b;Sky
z2)k|W|9qf{D0(mw&!tX>b@wvn&aw9r`%MVHUplQs``F0(@`t(*Zx~U{xW0$@PiBCz
zTeO{E|D5}v#y}TJzTZ;}e$`EMC=2XWUHwUvQwIOAJ)?n4iA8^NY&YTjG_?K5d>6q{
zR`(`mD-A-%bC&FncN3I$Arse?ZbEWSUqbh}4%`&G>(`szO<aGt_suJzKBCQesQk#V
zHZ(GIe#-jSO(d~yJMT*j5HpQ3NAe}Lp~G#5fptU=p|L~UKstVqnEP5NQMgqLXak;e
z!RoyPrTF@FwuxaP&g_Zj{zOf9+M1~q!PZCc%<YO#JUd2YIO+>lywd<RPc2t>zJ8*{
zu&%1?_Fn>7U+&D{*MOx`rwbo#2Z((*b)`dQlHfhCBGR*$3U{px-iY1%LkRxM1HS5i
z#QCw~XKxg%0~bZBUCnHW(Bv83=N2(dc-O=il`yG8aPUskRE81az`3CP%I>qo__ZWM
zS$8#<782YLu{cW9q1%v3$UISwsR1MPs!+1fwV_??FEQhPVCvkHMS^pWmAQhlD##s@
zztOpEf{1PQE%~OkLb&vI)HSE6fUO-{{=Ns3#BW(@LUt$v=str_3QQ_M`2J1WNSz}7
zI=UZI|H}y0P3&66k;>5jSE+3B^E46T=1^&Pi5ZBT593>Bl;B}#h=_RpEYV!p&|UAr
z3aEZ6qcTzn%;@Dwy?5q`E4-oxl6%;}GpYMV6SESuvJ=-A+ZTzKe!)(x@toj%>llmd
z6-AJ)c|xACUm=clHER|QbHl>QuMAUdMOf)=Vn~Z-0Lg}xlUI@{@NK)K(cmWq@X)v`
zlQhE!pBoOx9;)JphBFP7>rN;D?Nm-sb|y0@{qQlE*d_?3+!{^GGzIV*&gMO}pA~$Q
z`PCZvh2i3kvplnt@_<>fv1TspaDt`6GHXc$wnt1HdG=f${!}hC>&9|I=2mzkCoT@N
zJ(&Svx8>o!)c#qX9&Y%&dw&bfR}vmNhBT#LmWQYZfyA@Z6bPQHZps{82VQo+oD{R=
z;oFuIPsm67P$HC-I{ru&_WB8bXsDHkyD}RSK7%0ix@3x)?v{s)NOy;Z1$hXe6y-L|
z3Bkp<+Mh173Ltc+B1CVm0;J|>eYW~80@Zw7+b%y<0;zPjsO267AnFaaRriX)=m8(=
zfg39D;hqljN|qu-+;8A?l$HeUan*Xmn`&@zI(dvWNeLDTHLs<fTL<P3JZ;BnsqjQx
zP`<TF8C+l7IYUUvf-?OhTf(#^luqPpGtyPz_0T1=sK0Vxx`k@R3_5UlS8Zz1vKnNh
zjM}yND*(lp|AFdT8thZ7OQEQ0K+}J%l(JbxxYekW=Qgej#{b!Mw^eGvk(1@VrJ2gG
ze%`>Sic=3NMyUlnZZt?yvKSb&QiX#hKOU>|>O<Y;$oCPVblA_^_$qT!4bl#;(>ph!
z4~?o}&BwX*p=mYc@=y*H=B5~X$F3Q`{-v9u!p4ShJwc~|fzX7TtRJ0Am<&NB`RSzT
z6=R@f;X~#ZS};9u$2nBe5WapE8CVcCgO~C8sn?`+fV(3kkL9ZY9Q)4k8Hz1n<IL6z
zA7yE<hp{`sNznkF)W$I6$^s-k<J=*cOaqP+S!He<`ry#RcWmEYD~O9%spa@g11CQ*
z$I`g9z9%oriA7t(l}tBnzaAQ_CQzu;_i5nHd1ZRrF&h|o!&W2qk_LQ71Ae#)YJvAk
z@y;*iwxF!@pGD{q8Ym5)ymj`N8eH*84f_4w7JAsWPW86yK$D5PrB0<H3|-oy!7gV9
zLd%UUlt^tD%BmhCq+}qz+Vd5knH{Vg&)~FvrwI@+BVV{x1QZg@N{=Ym0mHupEAdV$
z$k>l~Yu)97X6M*TMxD0MtM*GZyg?1R%It%mJIoVwtqn(O!)+m}YOcjFT?ORsS$~d~
zuOd!G`l+3ovw=Yl_pR*Pm7t}gG}g3#f>eBAVQ1iP0~NpTwcQs~fIVUR^*Kryuvnct
z(e8^iOi64TrM!@Z8(Jr}Fyyk~i-!x(V+^ffrC(o&BUuVwxJnx}uyW&P4&z0gn^vIq
z;?<0Kni#yEHfZ>+KtWy)i(o?zD|l?1eb})@2+leLXk<z8qsTKA0k=qiQ!%BY@}B$<
z{ao21sh%G*XDgQ^dI)&qpO_+ehzn$<9K!z-62Nz=4hi&bOL&+5&80V=1=Lm*hD&Jz
z`1I$NxTbLn@c$Rb-|}gN(B1wy&`(tWtLK-0IB;8loTIVpQIBb2n{e1!4>kd$3s>5e
z>6t^s9dEXjH-p4*AzKUWJ3k(zdEHy^HG^YXjJzzWEkypAF5#tn{CH$<`;=^<DIEC4
z;_c%0l(e^Hm2ZjW$2|FT7wx|$(0}uK2Ww0xX)|Z0q`GHKH;CzTur>j&2kmK9hC}3q
z28EAYcKld0l&||N+Zb-2f9J=|Gf5t=aY{=CepJ5r^TYUx5gdOT|K28UhJ5B+^?J^c
zAL~+*NA~y`fwzmnp|9BsWUiW;(%&Qe*mU@~Qf`|exG2AB*yy=JK4<T!dUT&3qXKdG
z*j7Uzx1`n2OfaA@Yq6Nj0zdL6?A9!5G=TE`RK@=5Oz4FduTJh4z?>gyRH<zSuqV&;
zvWE@}R{Q^&B!3B@(}VCf^1D8qKUtUa>?tcoZjznl2p7bTs|!Wh{`x?8xO5Gev7@o=
zd!EgzLipRYrsMUh9tb!}5k~bKnECv*B-?}#PH#;x_siCUeYN+E?%Q%<*if^^vu0sz
zZwcB_PUwMmB41+1S8nvUoh`xhRRlLLwlB{P(xEv-sa+(57i;Lx_MaLN#i>W1b|q!e
zA-F8)gOfBL-Vptu@I+o5Gel;`e(t10YtCM|yTSYzQ1!yXI!prFf(asQ?fx)cEfBAF
z6TqO?DRvdVCGh~Y(Wb9U7qW`H=2LeIqS8?p!P7zOu)64sO8<Yla8mMBUY4g29;U>_
zbcxC!cgpTIt4q2N0s_56v@kx+9GLC+DU1H!p9lSl)&-}q?FJS1L{Nos{Z-!Ia;RId
z#QZ!|7tVDla`OBU#dFm0!`{E;QPxebhvT>|G<j>JOPGn{9ihf$gK-6%P474{7OxBU
zvO{kiyDfqC#yQ}_sf5pWynESDqzmGIPHyp$kwSIfnG_doW$d}R@8ERD8jo3d7Jq!S
z4*7ND#@hF)U=5r3%D4g@;<!q_i0_a=GU}oWSE?!&wF`Y#J4uJtzwy^7ta5nkYI3^q
zOEo-Ld3J$$ln!5wsnyJba_F@|x~F+Y9kmsA<~$421CevmtkTW$STN?rxmR8TWvv?n
zy#@6_I8>SE`b!0r8_A7vu+YTZucaq0zFp&0S7&LXr;3=?sI<w%MhjI~*NeMdH-HWC
z3i(>aO6X(7dF>}v8%qLH80}&Vfob8?8ReVGxbtK5oa?YQ{#&B;^qe+=f8{p!%;Qxs
zPlK)h!U-LWy#0dyJ;NBjh4)(t`l#ZUS4jy`O*&ZW>GbbGg$bPGW<AuYuZG<hug$Cs
z=wMS)TzgHwDO597Ph^g%q20kd?XKlIC=t{ZwMp6>TJ!R?<x|vgjqtg~40O<U*l+3j
z4h!hbC<#xcP;sk2^Y`Dr+F0nsZD$f|319AN-}gC0#S~2o>zfW**r&l~=bA^rNxv57
z{#+{l2;UdQJ*a{68Rc{NJJ<51?`^t6F%|10Wb%^jsCY^~mKyOEU}I$F5bs4Q#(KED
z&J0q+nA&fp8k$yM&yad-fuLfQfIjE!VHMQn9Oa9RvVvO$HH-Fd)zM4lOX#4B5^f28
zeOTd%6^JKo62DAU$9PJZ9J84McH4h)ztds`Do)!Ia(&fs<w19iijo{^eM@UQ-)#kH
zTcm}I&Z}Y>>sd}yn|1hD-(@H74=b2>XZpM;K?TeB$<F3zalB#fkt_Yo3Pu{6^qeD<
zF`aed&<|D-ta|00!gO`bcktoWYF8z+Qr!`nJSc#9!MCC;Jgh*QpO)Q1S44k?Eu15J
zDd@|><F<R<TAj?0Tro}seATVnysn57O_DTtYCi)sFVA@TuI)*G@=TpZ1uHIcZP=B2
z3Lsrpv6ttJESB0Q)y+jPVWIWX<w;cl>G<p<j_uN@EYw*o_Ii~p4!F{KFPng$FBRh=
z&7|;VyI!Hw`$h8Q&@FDGeoNpEb%-KuB=9N+p9gfzk!KkEJRWIVLg|!g#&Vz-a-@a)
z%lbA$KDi+mSsHEu7Ssz;mQ^BX?^#e>o;^**ik@(ZdTtJf8C2D8s0-tP<3_fJd8f&)
z9mRE{eC9x{o0jvc7sSDK*ShzVX_9|~yzayOW)Ma>G;13!fRab#c!>+s<bYx5H<fZz
z@D)?MadZbiRwzAhDDj&in>oq)+q|am_;Z3oay|vUUfH2X_AHsK=vuTTzyu;B53lC^
z=0TQUc{=5y^W@Bzs${G8#_+tD?+}YSHww*mE6+48kltZK(idsQ!1j@&@{kA@Ufv&a
zd%0qX)QkQ4Snq}rh^`iGNo3)~-qCNZ;~!T@ff)WiQw}3IBHpxLO^pMG>$a9hBrsrK
z@#yCKC`0(Tk2AygBs=1WJ$GmwBQhywdIV1xfCl7b4luA|=0B6a!fed=Y<uWpexLz7
z+M9N_@G%?K$@JD$da+<%$fej#Ykc=-Smda2A{)NC?bm17%!<}ML9Kxy`p{-Fy|Xxp
z4GoyOcsSkIQ9o>>vD~~KTyJHi9eTosoBr4sb}n+@Rrj0f(Q$gPYi84Zy*1yuh2(R;
z%enBmKl9#PaXr{Rr7<UYgdOdt1r*O;<iYOiAItwMp~LSG-@GJN4%GO!r{Q!g1*NX3
zCk}0<!|82*Lu~3e@NRn0WzQ}A*y33<cyd%1puenq+ci#{d;TiYBv1f9aI+dzUe<-H
zdR%>!t6T`fAG3pU1ktC}t9!&s7wFAhSqjzM7`8QRyzGw<+BU8~bAEb_BU#i2jxzD$
z@k;C2SDQreqyMJa`4SpjFI6hkIzqwpI*AG2m!b&LQ=DyUT-ae~eXy08AN3T~TJ86U
zqnOhwZ-dzyU#j;rJ?r5|C#k$E6kbWZ<00RChC%~j-&-4XzYE|r^;o?|rxa!`j5>d5
z(E&$gcP&bvAjTQw*8ch^jg?(9)l>O8P@8;v*_uNbog2)m1iNIhXijh8;RPMw)H=DX
z+(ra5AH}9gamwS*jTYXCYx?n`;27g;qBvM#Gnz(M!0SiT_Z+;d1I9CVwNJ5$V*-Dn
z#^@nMbjf;u#;->QimT%cnNuY&P;~n;?LQ@CcH7X&tU!Yk_db-*=}KYwazaQIrwUq}
zN~>5rxTZ^P&rus+hhK#!PD=%-BH?t@IhmwEjlk2&mIfJA-#NCh^hFK1#BOFhq3Hro
zh=1bdJ#tv{$7^K7oQnIEJD2v==z`o$iSDaz^7!t`#SzN_4g7lBFlwhK9mMy&ThjGY
zKuUa$>lm{ZzGD*?7gW-N!y32v2ci^_Wo((6woMx!wkF=mWYGsSj{5IMx)MH;5Ph;Y
zMh82|t2H{z2EfW$yF0o_8M!&cI*aURXz;H&!%Wr?zR17lKUSxLRi#r89ZG3P-xfbT
zxXTEbKD_b&?~N*MElVE@U#4N$=&k^!LSrcX@o7G~K@G?0LzbpWx@hJUIrEgu6f(CQ
zRJrg_9Si8I7p&!UaXEN@Y4!;-=rmGLw27i(p43jN_b3hH$HXHaOqfGs!YH4BvIdsb
ziG+(?prKrVX7MF&OE9XB<18!GK;`on3nu$?P_CBQN%b`Wk&cZq1xp$jpqfyxxJMiB
z$=D1nCjhXOCd_8YY9ed6dQ5M)CQ`(UehEoifzXAsoOgLO@g_yck$(#nAO4*vIGbe!
zti!71O${2D`M_h!byyX*&!l{vX0V15y~-D}8#PesZyfimk1`$_*IaejYz<VIpRd1P
zry^6X=MY<q0y?UNM8Al%2A^r~`k7jF3=W#8`nyREqf3=O^<1=u-8@RN#!uBSmMgrb
zzeEZLX4nip;;ccU=XPFlhAJLW_c*7vP7JL%eD}TgvxWq|QQMO{R8YQKuZCk>5S<Rb
zIk3aX8u%SP@RTzt<Hy}YqoY9-tfQJm`%PQHGhUyU_X-tpbc5*Ij%jubi!5F_an}lB
z)idj?Hz}Yjhl)5uI1?&dv(S6HWlcXD*>QhV4tpD*;?CzqQX%Ep0&NUnblU>!Mtxb7
zZDqUlFLa8Wz5YB_B@rO<=#<=I!8&v~x^qLN^C<bcBAEZaB0%oN>;$TjBvRa({Dv}m
z$%SKsYS|G4NE9Y!y&Dn3C!epzc}I1S<}L%_=kHs>(XhE;{dXcL7=;whv9DylWytxr
zofa^h-B-5nix3{r=e${W=L319BToB<s0DmZ-&oJXEQpDrF^;`LZ^`Ap@1CTSIfzDk
zKN0cZ$1OwO&Q=P)CCmMkca~l<1MM4ak0jpmVvf*J*^^a`q;Tiv!;ik3LQ2|!y`zfU
zxG{F2jdt@3`O?9(vr)+usvf<i_Ppc3+{GtfkI%P|q|#Oej$<Y;PPx3Vtcnfc^1JhH
zIzPz#>}r|K?~EafJ16Y*FbmrMW!e&UzKdjMNOTWZGKS9EnlHlKn9-ceo(sx)$jaXe
z(gA0UVCrFmxDY!Ns$3{6y2Up@rqrb5ul5^)c)NPB+5iKx2N)jByEH_4a344<vi84}
z3BC*-{JTo-a$lU%Fdie%U+#@esxg4(+r)47!z<*yEu01F%YVtu|86eXY8n9L&E#^J
z<uVzuI~<2bCdrLi4_>L|=>rR2_fpB;B{J9XK-i9vDe`OiN}#-?K3II=T%(Caa`T(F
zO`Dcy$n5&tZqirvAgb@T&>^2i^7Y~JpOFglWVvd{AZ0Cg*j%<r)!HwT=`!{?Mjngg
zCOmg=B%2QX+`>aA{1?d)<DVgZmCIz9|6}{d%5<37lBhSjRzH-zRHsUe0b7gRqFu{$
z;nA+pt!xfUB>&t|FL576WIHu+ci37Nn3V1e2k<PDrui>#9DmD%Jr%sqg1^z=+(DMM
zgA6Mq!-=`+hqf$O646mM6-<N1cUcBKs;i`baMiI7?W{Pq*FY_ehX&8pda}x`7*Jc`
za)LxEJ3cOGQ6~53!2N$`UQ@Ujv4!+j<~_)Xh31;C1q-wxbwf1SI?9MSdtXuZ?&rok
zf)NZS=d@se{?|@tj0w|t=x@f(@uK4Oqf8ObT3|SJ`rR2G7Hp(XKN)G|!`qFWCvMbg
zg0KHio=AIEyqlP?*F{SJUr<VYvb8l~DABfn^FA9ow@q$2m?(&PaVKuM6>C7c$0FTF
ziv!)&9^6`F5k_$a$DIR)8t{s%x`Xi>C;sR8F+VX!1drKd9Xa`l3W=xGE0T)1aX!t9
zBhgI^Z`JfoWrtJYM6So_!9reCI`nmSkfj8c{MO#UrAvhu^F9<>3m=-NUysY!AcaCo
z^~c(m)#2b>XB!7e0gQrb32Kxy7P>S^pXySFrF^-<rw0U)?la~n)+UQN9vdGt{!oWc
zI!ra^-V0%~1)G7lt~|>8_1nz%PaV1$KAp4QCW03%BU4T!D`5IP|7<QQ6;3`kwmdf_
zitZCL;pPlVsQN?r0qc1x7=`#;J6a`<&x=2I4ksvMe^94EBZmeoAma&+TuD4K@jPr%
zSrt`H=7Wl=HDGI>sb1;5b=aetob;ht4fh>VP2ZiX368u%`i5U+P@{6mI5eG#XTDUv
z|3zxS+a{xV%Tzfe3pxxuc4^|qN}kmNvO2(BEhwz|QXWIKAWe0hHj2JK@W$VZ1|~TL
zr(@X^(RP~0%Iv!i-gA27@^p_bkkMs^g*%jx61{uRPo!aSko2Y7QFNHC7yECtP#KdA
z8!Rf%>Y~f1sa)L`dJuRw>_z&D3SJSA3|rKsV*z2j$fj=qC6sGkx3;UHf=|`{J5T6H
zDbg4E^Ue^qzcd{kzOIfP_t{%)DSEg^+8}Q0S!0lYq!4ZViHh^968G-w=^_1LP^8!{
zQ*fa=KlA*fflR@AOQlkJ*t0%A*4e}yri5&y8h)(J=^n;qf^>YF`ek2?oFzQaNT_Yd
z(ZcFWKMsk?&~c~K;l=qS0uJRZd^@6{jnibn^nigb>ieT(_%DDa%xpIb*GBK@50yzg
zG>mYn_Huk+1qrV|e!X&18{fMhP%+-6h4E(wMLPFb!-m`9xkYB$XeG3+>**SwY}P*U
zDEN;x6pm>sC6;QT)g*hU?XU_K{oK)MyUhkJC}jk=c59;6;qdM^v5H7^=br0HvjM5$
zecQR4HBda}TDq5_9IhUD9w+j^2DtN`vIbMAc;KGbSG}(iIPO=~mz!q;yF5At2G^-$
zNWevw+BP9PKJ#_yU4#v^72hWY6I78uCCT*NI1du`mzACy*ueUJPh#$;GOp{Xpqa)q
z<KXGzCY+ttpyTYTRHCAUPj5=`^mERVah~zk3&*WtqE7hplRyPLWNG{9e0&c%!gXZs
z5UVu=i_K3Rcq)f~j}lMa86Od`CIxxX$yShSBJtWyUIzVHN@|JQ-Ndo1h@U3~*YejJ
z>Q|;EQFMTJm2by5(VTc}`+O#Vu2-aI`HUDo?Dw5WUOz<~;X38quns`!&E~~%H4&Vo
zJpGjrHcR|zXFYFYPXLoL_5IIOLHtuu+Zu6vp4gQ)(e=>N60WFe&%D><$D>aJg{4v!
zh%&z9`GPYRkYx5|1M4a`9^2_licKsK+;d_9afRj}ITIOf#LI!_3oa#3epnz*aa!kY
zZ#9EmJk=Jtr&+M0ZX_#w^8%5Ao)ceq%z$e_e>H3yBkG%YaRpzPCuTBwwv^hN0^`Eh
zC$z~WGO5ZT>qy=l5%O4n{z9q===O;gEcVWl%!|Dn8wzKMT`Rme(QXXk-!x4>1pFhf
z-Ia8p7tavEm76$YG>yUMPVuF%p)s;{Q^BX#)zgHDLg$~>wS4?A(WDtTGC=Zq{t>#^
zF-0((YL?IHGK9=iHto6io6JvRc`PbEMSN%qYdmFb2n=S0ANORnkrf^89wMRt2>r2-
z%H~A|aB`jFasTlTWS*Vx+uG4dBKlWP{}o{a2)G&;e7UHKWYgr+RZX5GJ{4Mf?>eUs
z7t^|;%(q@5Y;SN<^S4hD6-g!69Ov}F@sCMhj3^ShZ4O~mW|PDK1K%d+5Iy+ASiWF=
zw2|ltD_=@*m?TubqvrY%I^?l_lU3~cO1!0ipUyu!Nz|Xvwq*>YL$jES52M6)!poxd
z%9-DjL^gA&eZaUb1jdSrj4l5p=(aslhkgDLPkT4n`yJN>7J9?+QK#R;efOQN{en}3
zEbMaZW6*^syxTOoGkORMcca0afhj`!%?$lx3Jrerf4O?{O&@Vv{2>3$zG=dqmn&6J
zjs`+a7M>ML14QVQg_JR6mXNzcJ-o?Z2R669lbA9ZB0NWl5iRdI!soin<A2w*VaRXr
zA}w}=$hTtJR@gsJs7XaS3xCoA|LfuzVm)I7SMZrstE@#ry+tVcHn$cm>*ZGpmi{Gz
z76Nlc&n**52W@Jz9W_BH4kkRACkds{&t?sGRtc_?%GzAlG+;kJ+X6lCAE8~~6j#f@
z2<elBWs3t;pft1Y-9A1=cz=JK5V@5J1iVKRk}auVeNi^4Fl~m=5WXg{=@~OLxTsnT
zW~sxdlV`~0opZ#Q1pQ?#S60xw`jBBGgF5^tA#pCza)BVE`Yy#vvV+3s?Wd*>sX?h$
zX4dqMCE{GzhQTEcPRNfrX0_v&Dpc-Y+8lU&g}7|8VqT`k4I#XG?>hFVf=*iNfKVa>
z$h*ACmN>-=Eq1>GHGipq+u-_~?p{VvD_(z^jh!DBdwFFUgH)h~qUo!;pBeat4Y_&`
z3xI!Y<!(Dx6^L!Q*&@Hn0;%nKe~!!xLS1kSRjf!EERs+6IySI@zGGn4-6CP&(};TY
z#Z?&?71sL(RB(W=s(9OtSW!s2<$h9JLK*%C009606q$EC)!!e-?Jawg&AqO1x%Rqm
zu8@$FP$X0eNedMbN*RTW%&e3VQKEeFIVc&~D@sNP3E3n3{Qf-WaUSo-c|6WJ&*$s?
zILagIem;FHV8@;ZK@oy5&v*6G&nX$u$JemL;@M$<FHk+CS{UNc{6tKP4Al3vyw-Zd
z0Y8_#zhIJL&`IlKI$19RjXIy=ZyIpHsUo9du@B;V<6Fncy)uyL{Afm_mK&bdsLU{$
zOG3uFl~yRNESNvKYnJB03(Ki3aVl+6(70&H21jL~=p{qNuo^$O1}*(Qe^~~0x9=s_
zHpzm8!`)CiSwR>~uNHGrl>`6$5+e6SIpE}RZZ0Pa!@(a*w6$zFSpUv{h{i-79`p^+
zvxSR-#>t-&b5sg2rT@WL^f(SSdHW_WF7Ah;EmaE%%!=@=fXOGk2oLGihgo?)NkD88
zPVj()GNh9?o>yBE;NUUS*KsmZ@VROpZHp0sL4Jip*H{T+D)Rb1BuYb=R^NytP8BSP
z3ugU~Re*=wEq0$z7C!G=3BE6{288qjkz3NLuyQfi@xfC$V7?UUBFaqyHwF#`y)rdu
zbolh3LkR~(GOy~WhDcx~x_~RatPTpDE?;V@@Nm_#pQi1WI<TKjvU%^O2}^-j$vc_^
zxT$~I<l?A0R9)k4xNut=@+Jp@vojRImGj#}K57kkGp+UM*Lz*iXn6l7U_=SvX;xEu
zyE<G<`bcBMVgQelxw7&WmEn+^p8u|iIt(}Z>=d3L!)!|%!Q-<Ecu{`jPdby}H~9cf
zWeb2(TFpWno(MKihRudV)!@F*LYRK95r{R5aq5~9!RM3H?U6_#%uZN)7+}W0@%~@L
zV@)EUJJIg^K1!gI)O{#9gtAvCRh@cC1&s00l}|kJz!_?@QNe8jr#AWn`6X0fCr72b
zP+JzLHlsKWTrmOLlZmcHn@V63^tQ;HK@#k){oFnK)C62rG=sCF6=4Sm_fj^6;O+`T
zqkD!4jNP}Zh#XUZ1)XU^R4_MiMwhQ{Up4_}$&Q=REO_XpuDKqZ%m}51-?(qem;m49
zZ>GQ_58lmMw;O-2kvF|}ua*8sf$=QYXKz_#VamExt;4mG{MxMhftE1^=2Y)bzuA_8
znk$+0&St+bHB%>r!D?eDPV@`bT$2Eip30Zimh0G;Lt7krD#q}n&w<C8YCmM8go}Nm
zqDJPdH=3|4BcL*0q-+}s1M$>K*ykiVL@&>RGI@;P0Y_*e?hQX^McroL6=y_~2jqJg
zA_1DG;-U@C@xT|Y#ipWGCdBP}`Q;IMfDcCEH**{~;U4NJsqAD%N3TD7f02z0|3$qD
z$P#3Q;|>OQZy#epRka#DOG1Va{m1xL2^9k<gk_A&++aaw!tZt@NCvQN|8J}03^laJ
z)rtRcVnN56HxGr_>w_udV1L%FO)`!{BLEX%LB{nuhtJ>Bg9As++p8Ft$hY$AqPqWM
zMpY*y%Y-mpsH$;yVy~PcpEzLg(e)%V%6F?e(M_cbm`g14k=OyUi=J4g)h-kA6=wVT
z!$JpQjR)NS`}vCe_xUQhu8awF^VkxT)3qVgRFr1Cp%vqZ{nP*M1{0FY#czA9Xn`rK
z;`v^N5sWxU=J#`ALgVChk+EZ15N|m(9rNiIrj=q;{?nNWZN5LX68~NkR`ZuQV%z4h
zRF~8*b0JJ9hbxwaAg2kPtP-oLS&Nv6xno7+XC`EQiePv?Spzy#_?*krRxlqyA#F)@
zW~8EDEG@WC1K8f5S)4q#j@{`<HL&~4j9f1zgz`tKgKtKo>u>fgEYi8%H6fG*S%v7!
zS+c6b>cxA8vuWFyzRc^%opY>c$l8FRB#s1_re<0uI~CGfm{I?5oeh~5C$;E{k-+N|
zUsRO^HL~$%pWu4Mj{e#OmD81|fuN+m;kySkNagoKK@R~AbgAM;gP4gLL{G30+S+Il
z=|R-DqT`&X`6=Z_@vtiJo8l^_#OTrNzU3Q(I$VfJL@IJDL=|Em-d1V4$$$)om*q?}
zxzT{tX$z`7Zf%T2_cKj1BKPa(>6xu~P|vU{@pvy0ZoJxvl=5aqoh7aRT!VQLwVOz-
z>4Uv_Yy8>`Mpi_f8po90#)mN3trl|=B9yBHY@M!QL)r9fQe651XeKOqb((<)bG!L7
z!U_8jpYg9F`<n#OK_fQl+*}n1`RtlIcYqVU)<H-4{e{sZmhVR+4ygcl?$Mfa$GFg1
zP(2UPOcW_yl)h`ur~+GdZ^O6!xKXuj7r|F|KWaVoRA%L?GO*Gv6)KeSpvW6jqz0S>
z$_=l_P1PxbtJrTH>m6Qny3$|jjHx6N4#+oX`>YK25=+LPo#jUlVsDp@Uzb9D)Cche
zGs^J6_HCQtqyReMEP1Kytu#uCH!$f?Rspxn_ZmM#gwO`N=(8e5S=8#Ye0Mfk1*o;l
z{Ao2s(2uU((@Y+6$Zh1c=o&8(jLvc~q|%F_^Zb6+xGs5w*oSrluMuIgqlt}Wem`Qb
zu)OPi0FQJT52`+!CBm@wgMh#Q2^2rv@rLC;1!QyGCg@JEDrgrLmBxijqQAYtcgIx}
z(cQ?45*x~UKJguUCy*+I_^;PDd!#5Ktq`}Nr~meNyijS2?d^Nhxl1H?UKzQInSTkL
zCV|~)&6+#?GAOKZO{$HDh^BR)6#iaOhwtfqM`PDzk<~}~+@(|^ieto%ib-lh4tzgg
z$tRD*44Uz64610BTl~Sk3tGT`CbHfFheO7`H8CAFs>m|RMu^a?4KIJ)s=7eHqlf%Q
zMhdQ|A~&xlGdZ#@3`J-UtP3ch%l;d24d+zR?QSW(-$)Ne6**)!CKZsR#F_a~oGP;E
zm)>7xY5<g+SeGkt1mvzL!TIDZ5lxT<11~lh!nOD-j|Vvw5k=@u`xpmtk9$=|BZUD-
zlKQtJToh46&K0X3A7!NFZNt@455V$#_169yis%WmD_QQWBI4fpG~eK81nuUD+AAj%
z(N=AEVJNo(8c$&y<os#`<R0-RJ32*_iW<?ANO@G#yZ+Zn&lr3%1U{zu5s)yIE$!8x
zGDsmjo`~Jq<Ggd@A=wHA<al~pte7N)D)(hp*A*Irvs+Pu&?h|d^N$`lDk+ZmCYo#Q
zD~+K#Agr40B@V?bGPxKC3!_W&{Z}#yjDb5L(JbbgJj&1xOx(J}hkj3Y#Xk-=2LEMB
zdV#bYDiZMwnbYDzh0*w~+C#<=Ha7U>W}OVW-f+G3%Qg#QyfJckjApNXjK34+AdPrF
zV;OCa>5z|fqJ7FsBj|i@e=YitBytWsu-fRngXvmcSRfxZf`2l>%z_aT=y{Xrj#~H%
zCO0S;UN-~KE7{MbX}2G7kI?3vn4HDhm+w7~3kBG^rjrv}C4$`YM68NdMzJW_4b^PH
zJ&kwo@Vzh;LXa(%k21S4hm2tFF()#d;NG!kpXEoP#fR+ot^;QKDdnb4q#-a0DaVx5
z^CH~4cWc>6p;)@nudluD4Pdg?mX+r-H=1qFo8Mu7NuD@s;fdz;K|eZ$J!O>>l|RD0
zAAI?SjB^T+NXP3#5?S`FTkbxjc2V4?+oqg+1S9OC^Ln6L7IH<QgcY57bRotyDTln4
z>7ro!QWv)Ut>pePGb2dI<it5Y#;nb96%McIK;{`ipEKnQXm~jKNnQ6_%#QqQKFd@G
zu8$0#$8zY9KGp4HO3x?EU3!utou&<Ie(r6weKct1D$9Pu+z#yBO!9@IWi6;Z^!lT`
z88vFu*1dV*eIHiZpB~9}R15t3n)h8D+r@|rt<?IwLs(m0P>k?fO^~a9lee6?jd5Fb
z{a|e$#jZY5XebiX1X`XSb3fm2VLYN&3>@SpFoo})!zm9mfP0R5a9wE=3qMEe=^itM
zW%6@T>NeD&8dpI3Y+)ViC$l)P(9L23Ie2vjA9b+D{R$NOw}xG<;a(?2&tv~mFJcyx
zB*-Y>D?MeghPl5kZ+VyS7mFU9OAT<_%XiTX<AlCd%!VhK(ZzQO%hGs3A2_B4SP}j;
zYuYOIZP>eBz-a}0Dce+La!w7>)*DY6C$3_lqC=gRPOf1z)TQXtA5{p<VH|6&UBz_U
zO}JgJY+y!Wti3A%s<7^w_~h{ZHSBwp1@pmYTiBtI6Nc@Ks$l&6QJPf28kQ7zX?|>d
z8^cXez$TRl5x+FEHC@*+0_uM+r9*{)>s-JsA`zszah`&v8`$R`8cmm@s1aYQZp*6#
z6(A(g(@ooNViLE!zL~Akpo*SPxT$t!u;Tf&?U1~M`39_cqCh(2(B3s&&#ep-!Xs&U
z^xN1KGU=G26ayMxI9YqcSqY9l{=gEKw}V~atUbs#!-yIZMvHA;DT3TdN3w<<71D|l
zI$-pb8M*P-PUo^Jf=_BrEH#-L*=LQ#S1hoiJD(2Sn!H2+rU(uzM;972fPT}z)7po8
zI4kU*4=F(8wVhRkOj;B;*yu9jz=@L6&mT*&Q-H*{;=<?KbcpLQr`L2D7m`xcoPF>W
z5BZmN8jM32P{8(wH77g|YESUryz7An?mxTKWjH2u-u1ohSS>H|;^DhnPm2dT+qv75
z8_dY^esdcBHb1)mXrl042@bCHbvW^?v7&?Ju{|@V1rgIwex1B04rn$N_hm}&Lop9d
zulITjqcevO<x6PefTixPRg4iQ8qn!}5tt{64t;ZC6%fIJ@|%*u%xErTE-PD1Vi89M
z2R)z8@ZrGO(N1b&nH!x}m*ZV&mq3=3<E|?N9GtyEHL4fLi^?jv#cu9#a;eS8UeFZ>
zzj9Y9JY@J$FSnq=&r)gBY%hDD;oV-}Hd{)+J12ndm9m^~H<3lImlNGs^za~AR5^NR
zNC<tA6RTnWD~C*;p3%8Kg9pWJ@qF0@5tPxOzU)+vLlSq6bo;g`K=^rP-dg$nD3mDo
zQ1Y$<>MB{)JpYFPA>!rK)kYG?!rsoB=Zqpkhf>(=td*d>h^+e|L=puxer%mIQ$`LA
z=TGviD?^w5w|@uQrBH#1YfR9dH`{*oN8Sk_g21&wnNbB9<WP|ECu)<3gfCP}YCcs3
zmHA@Q@*`QavGw9>ey1u@iFz|X_*V_2w@8UK8*(VHP-uuTRt?1l26?{oRfl5>N;C3q
zIP@Ryq)Z2agg&G@IN*gf;dfVDY*j5D-6`v3x}HixR=+IDnP#-WGO2f_fP;XV6<UvZ
zb&}93@4wgP13K{V^-PzDu_BVuVSK~+nS?sdle&tB^dQ&ms-vH^5;D3b8ujri2{}xz
z-266e01Op;O&fS+RAx3j%h9cdPK`g7`2L3sfp6)@{hF1Lx1wKD(YPu~47*y!I18X^
z?fg(&UIoqF4oV}uB%*r0AEg#8M&R;SaOAj-3gWG&eM$6IMt7>XxdNk&;law%j_bBE
ziXl!G{3lF69QYaT-#7{!)ZiWec10OAZnQTL?#u6a?f&TgbPCik>w5R4E1`MI4&CAb
zY1HP?@l<!50!7sq4`<&|M7`cgsx>4DWHntGMNeY_eHHfvK!JeHJ4|n57lqJtm%Ur+
zItA1o`l{q-<I&s2yZ<ycxzV{ie0<Lr3Uu3LuJ$j<qdBH7Y}Abfovt!u%?PJ}?x{me
zoJw-2;f1I26&osagxQRwBS(R3^?hyBjxs3Jt%#u&H;<i~yYleup2v&7|LQRhl|o;i
zm-)<otit-sbAs*|8bf2(q%}*q1ls+%<MYAsCz<r2J_(N*fox3`b@Z?px*cz?*6q4T
z79P`hXk}mowh8W58KJ`HTx<2^>0j$)$;vafdDQ^<Gn)#Sod6nrb$NRuX`AderEMsv
z53s{2-V}L?7x|OjgW6oF!2ZGUg5F><tmUSsNM>=N3l>JfpPi|p`)VWon@5Jww(;jZ
zX^%T;3eE*TN2#IC$9y;Zg#m=zw_NVXVn!p~0<XteX`r-UfaPYhK15FZwF<vMkIML_
zo{TS3!!LEbo!5#UT+%v|JX%eS?ifkZyeOlFS&u=rEu0?Ycot_~s{4n1jNp6DeUut#
zewY@Op3#NCXZtfbKdxdQY}|zlCaJ(GFqfU~g$~?2#&_b2_g^gbT6#CPKNWa<J7afk
zQ5$;c&Mi_qPGbXFsSOEiRIt+^NEc4g23`q!&kK_y*rk4L4(gM;WQ97f#@bXZc$>6y
zKjTvuCSnj;ulQky92N6#w{cAqX0p-*Uxrs;VYg@f-<a-@Tep7=8J*CCW})f$IM?^&
z0+y()%75Er&Et-rM`|^|-_bem;K@$%bULH#^w>5zNAj7)S!E3%U<Yol3Vb7LEW{N5
z-P$HsuOuuzd8!VLk^O;>wnxcdcw2)$AKW2dy6{WRnok`9hB{{F_$SFG0b|UItvlo&
z7A;~fk4P}J-1ug7W}4hhe|)a)!7iD0EOy^Zb`o@+EihY){6kJC8KpBOQ^As8z<u#p
zH5fg*MDht+AhX@b^lIy)f*1N)bb0)0K<{&Mv`BN297Qy<bBLyfJ8T6nl(JPp&Ckn@
zVRDJgc{42W+i4oOA#v2WLPZrkpNh^6C9jZ;Ebj>3x1$ARrvh)CIwD-#Iz!g7T_flH
zx46;dMF%dI&}@wZ5j=iQ&$bJ1kgKn<O4>Z52j(NGfjN^Z;O|mfsJ6CAw)Yv$<Dz4P
z)7|cc3^FPZA;V2+p8ZE&ao3f$jbwrg`PIs!7xp}>A`!7fwM%YLdM@-#mj$||a&UoF
zO5iRL!xE9ccit(T>I(vFFh^}mqs^%V*4|fU542Llx@@PXx9mP>xkR9SbXgJ3=LE+G
z^U*@>j~|V;Bu*GLn0P2OM1V-yJ5P85=)kgJ>R<IGF5qfNlz)7b0KfYbPi(KzgEXDw
zEBa<`XufTBaHLlOSfY*yJ3L_o%JCBXSrcA3^6RJu-&qBa?BJ?)bz+A9QXY9JjPe2D
zU=0eQQ2?`8g}hs4te_QGaQbbI0KC%st(sqohgvO{qj+a_psV}x$2&?0a`y!(o%O-P
zzl^jQ)@%;ges<_pc7_O4cu_JY0S}4&>hs>LT#!)sb0O%P7<j*Xak3J>=dZ+pKAbBz
z<YqI`Uy_!9JB5J;odi4-YH`Ru?&g6QYvKLzzLJofz}l8?frpmT$i~ZO_@HCJ=0tF>
z6o`@jmMTT!LAzng?+l*+fOv)hhph|*ndNa!&h6!ams7hfzXU;Gf;Y)$LKYfrL^r<&
zDL^lqVqoESVc56gPdgPO4~*3br}Fg)a8Y(q@7A&?+-4IH%rnPBbJe4N7OIL6zZ(=m
zts)NGLPSMZE&@!_9-fzRQv%E6${+VWNdO}z+ao)s2n*y8u4lc<kUT4qB1$U-i`>mg
zOXbQSDmdk`ZB7JU`$cmrYiW4rmlj#8PXsr<w_As-RYB{Vi;-TQ40J9?BuDY80{`Fc
z?+t-!pe<>6bAw6_UZ<ff{Q*@F{GjE1x|akeWt&fXxyZwHdpub<R1MD9JUkF=uK~eR
zB_~w(^1@5O&!vy)N#Goj>3D}q3ko9|HVPONz)?E)B<4thrsYmwvleaWBK-8{Bon~(
z(-{iabrSUJA38Z)stdg8g|f&&5tizf&zc-2!QvU~HIH0<5THD@%s!|D$Ir!SyYJ=T
z*SMo#@x%~(X2L9M7?olFP|sisK@B`J)30A71899YJ-GHj8Nxnn#!xA#Ld^<iE=k%5
zSh_}X8XA@1%R3iVnXh{})ogb8(7X|B#%Bfotx<;D@=TNUNktd{Q$Vc0)D_<slx_^~
zu1;PP^;Cw1zM}nYIe7T+_kxO+ECnXK&gu%bD8Z5gt$3ZH98{eR+!DD*0g(v)(Xk0d
zs1->mh<YvsyL@iz`ZW}|yVm{Gp_Ty45}YYM=l8??w%2lu?G(Tye5|t1DS*Yn7qOK;
z1mJ6KefD@Y1-#oa$txo`NcKo#aR0#tpYqD&iXTuQGJ1;&bmf8C9LBz}Fhh6tkptTX
z6fkS9`4bo{3zQ94jo^p7WJTZK?D;>8L8Q#8a{0Y9On78|l^B~RvtHz_lDljSt>kK@
zW2=(TljhVREZ9WW6c1W)+B5=Vzp#uU9SK<G%v^hG{vGp530psY+Xy(GibTW+ioqQE
zY4T$B4`y9!|Hh2U2%I?fulP;~fhS9x+U0>|ELPKDDt@m&?LZ>Ut)u*qnjh+o*fucF
z^HH9^7y$bJEg!zZ%?mlDbJC+jTNs0fw;v`-hCftWM;32z!MW_;!F`XnF=zC`&Xi;b
zlb4Eh_|^77uk6&zfQvhr`{irGOtyR8JZQwv^n)4vUxX_C&Dy~-7X_}X-Oz{Gh2eAT
z%k*%Css8%($sJ7W&-d!Q7kcoJKj-jQ9~$WN6`+&*xQ#6eC>QS=(S^rjtB*Dw?U4C{
zt>2zl|A$4J+UGEc>p}^-8&<WjPR=SDxx&Zw56fCWKLyX~0MmAC@!G-?nT1y8?F-2*
ztmD9BTxXd!oG^C|7Neaft1{BnGU;q$e7R3v*3oIh*}TMuobtcOkv{R>32qx$ZwTpV
zgtHb{rC-hOBaV>6WuiYe<ga7Q(whRGsx{%*r>2;9%spfhlHurNUB}`hDl`?vH34-b
z*kdwvWHdoJw?AnOJN24{**`)9P<+tk@#K40+K^dGo%tFTZFXDc!m>Kd3pp8~g*vRx
z>-uWH>>8G5I)1F}tUByga78|M?ZlpRD`_<=uVMef3!dEgw&zD`uMy*<ub9P6ljq52
z)-Xoj3+g6zB#3)pT9BbVj1jIXf1zz$!{%J@(`?;pz~C!#mFvwI*6uI=sMc{EYw8iQ
ztvsd%tqVUK>$4^>IteXE6yCs!$3{H~gQ^hb-DDbhX$lMJot5%s-NZcDeGTl~RpB&y
zQd6+vZ|wK6@{W5-TUe88aD~hQ5waG&d<Mq;U}}t&(e9!DuseFRPhvudaAT5F^1k%~
zb~>H;#tQ2WcJ#4&Mg%VrW~gQ}!pi?*bwln~GrsI%aqTZ1#T-<?rs0^BpwtppCd{0X
z{*wwxPL|&^eW(mqa%jHyXD?$}SuKT0yVQs-%eFLe?>&>8Q{>5-t5`|-3r;P4TJ)|m
z=dR?QA47cx{`>fI4LcnAlJ8?09f~+sU&-#Y$K9VreA6WxSbx(AsvZdj#P@m69i;@=
zM{CG?AbktF8GpXeri~Hln!XwtXCXjK;_<2ESKHX@B(uDm&zaHEZ)>8Dj{*n_Z4i1E
zcCiXx)w18Etf<Fp#3*eL5BG0-aPg~BBdfgK15bXlBdNOQyPJpcp!Hz+=Dxc$Nac0f
zXAc!l#4`58&afQ^5@zwo_19?8LPvgqXapD9j&VC^=!k>M6J?ajNP0x1b3J>0mm3}T
zW0atsmj^13kc38KMszqLF!N6;FS<H$`_-2?c~F?;{5vbfj5=~AFL*ogqjeU&T@i{r
zxZ8@;_b9WX#)j8jZ%qY}iFS`h4V^p$u}DNad$OY?<{#==PQvI~?AML2U*+J{Me)J-
z0S>fuTDN~9OB8L10?T@>92_{FJ!}PBsNJ5iYahQjDy=v>EK)BA`YFLheP!He_T_6o
ziD3ye-EIB3aaay!%=vEzP<YXH{I#(#D=D<0nv={YDi2wS#TmpkK4c{OB=v5eG!p#Y
zbFV5;9%cyv`&-)tP;&Eont>a#Nd1KmJtrd$=mj5pw6+K#S-0Pe_L}ktfAv_fOf3!q
zmvryx%!{C!kPe<IW<1KgVN#b_hKHB{iyuBZ`_b5QIU3^y1w^<Wa`EM`0$lV9i(WV;
zfpW6isJ+J(k;lZqg)Un~IFlge=kZh$QSTP>2K`V*ZFftIV!4&!zNT%*^-U?{CwP2`
z-;;=>RKwlYxQXE4KQABRE`zjfeRq|dR1w3Go&P)zssi0diF2R&WRV1S80E5o8j6yd
zTfbML25i#2^lFFY(VNn+dyaG@G{Anfq|#U&zP9RU8aCjNCCS%aE}w+bFkxeDI!y=^
z?>;v|Qb6UMtuzh->Zsn?u<QPu7UcNSi#~lwKpEB&+rF0S=!4wyq3I1Bs4;NkXl+qM
z7H-?vuC6)?J}=_HC87_^JbEA2hLuo8!Ta{1K@v)s-V8UR7{bLk4c|yi85OZ<tKOC;
zp_&H6x?4m5D#z27nJy|Q{ccMgr=%Ks^OHKwlV}9iVq(X}->RUXLc4U$RwByI&EEVV
zU<{UbDgQ;)s352C$pir(Wn>rK&{sHQ3~wxQ#;LCEtsibZ*702dsgHau*1JUkMWF?G
z_a0?L;tHPr!X}TThvYd}XDJ{jZs3<Xsf0{F(7~{rGzu?a^~+N>fj4|Z;*4dAC?F!c
zC_8UIy64H)al^y}96ihZ2Mh=(^mu4Tl$!vee)pQgPt^oknyHT~r{K{?U6GoA|2Wat
zCPI_N76oD%PAu|v$Rpb;QETZ%^ys0U)c5Qc6j=J%N1Ht_i-JFXF^;2I!;)*7ZB76M
zx*ld^NYlw6{n9|}>TW+a{JP6@w$T{u+*kus1f`Iup@Ubf%`jQ4(P4<n{Qv*6TKjA@
zCD8u>0096043~E})qfPntq_qtu4{Ac&9&XPj6y0+L<$XLq$q6}sZ>Ttl<Jp}l8}}0
z{Td|_6<LWwB_l)<;^*J<e4cYY&l#`xIU$!7cLY}bVl@4|b<e!k5}F+k>JuBOB>T=C
ze>V#*FkYRyyUE1V5-z@UBe!khWaM)6VAd@rROm<jPAmor*hTvP@{5oIfpx3GYFOa?
zjM2xZ2h29#O$y`^B)@vPY>`uA!|bJ~x+EV4S_DgrOc{J+U-R?r8<<wXcj2^iVW<U;
zhY8MR?BgZ}O<i4ry;q@FPA_@nsyTQ~Y9rYz*~#7Y0<Q-{Rw0z{^g+FRGt~Z#;hBhG
zA@$$*jdnS%`1wko((N%t{?gXuhKPSeZ`eBBg%$t(E`l*$yru{bc-D5kdX@+}{ylag
zgAHn&#k%SaCWxu-PD(GBB=!lbGmRRuVKSX{eDb<63RuoaxTSm}Yy=WUE!$Yp`Rr{a
zwbuxTJ=UKq9q%T#pOU#U8paB~H=Qm@T1HruF<RenwuV^iYSuHW!wTk~Q*TpZ3~_9T
zPtg7NbB5RV`-+pxEO00Z)n7GC$CHI4Z#N!lXN0hN_ZWU>L4#PUtcW8Wg&vpHHu`^N
z>^0u{(qV)J^@b@q=SmH5?@CQcf$%p*>3-O<akC=+N&gh9k^$~W7s)=c9c2h6CjESA
z&x+<po<l)t`cS!j?{6FTBqOMROZ{msD{>2NkK7T`$HejOT+z+H7<}CQro}6DiCT)D
z2u#oe5$##dcYKENvBI#JXkkPBCQ5pXkRG(=IDZbu&NBR_!;9-~tb)u?c6VNyF2;WF
zy^=_sV-&^xOMQ2i9gWHUshmo>kUBfwd-cD0Mpd{dm%=p;>^qYF`AdloWJ}MwJt$ga
zn5(Eysn&BM?cWDc8wVX^eLb$>_I8PJr^06-QH~2YUJl*19nyy8^#BR&^GtB8x3k#t
zh#N7U_wTS>(8iVO6P9Z;nK7^V#4&X*4??OvwR04-p?FDgVZ56Kt<NPre_5|ZrSF#G
zZ*FSg_UR^#L0L8&O8Ru<Mjjv38eF_NrZti0v)Yp7{3?8Mi&~}9#*b^~66l%Ens5*n
z<@fx<j+c6&BLhN$xV#WD7u=))nT&}<xhtFyjr6v@a!d%>mRvRm?KBXO$2=Wm!G(ob
z>Tl*5VK_M+%6-_O4$52KhD$<gP&6NXR6j`+#dXI&r5;sBRpU3Faz0+jFN{g^yNctY
z)S=Q&S#@kV<M=>Lf)C#>O435DCBTBYL5D##EC#&4zR#K;Nbh`2*(r%uXK@~#=W6hE
z`nB~@lmH4e3OkO(Nh9b_r;6l5HO#_0?a^mJ#2*)~vz(WKLKx>>uA&t`hk15Q>=cHP
z6C1I|QV!;vgSYp5R0C7Bnswg~5%iVKoZfv~9x++xpG+#M!}^s{PS!0k1TSX&ILf1l
zqrTj0SEs1MnSFA*ye|bxY(I;X<7jB=FxGX`)4+_^O^pg?D#Ftam#vXkMsV;GorPr$
zRG$16VSGRe>=*yq#n!5T-nrJukVOlYxhmnU8)P7Q(E93AA2s-$xt~)mt&M4F_4AO!
zvUqhhhk1}+126WE{tN8W#;X^Pz67Pq;gCJ`ZE2w<oNs*Ly+-KZ=&f7c-W~F2na{Bp
zlF>$SOon1_y)Hi7YWXB0s))(A?|$s)*2bmJOT3#V^kBc9D|DAD4b~A9$E&AwurvOR
z;6n=ov;{{ijong$%CXYPoMj!9&M<Sx7tjG#?yPI?mEn8ZaAdE$E)<e1ve>MQ;9po|
zzw}oHvlmM$V`6o2tiF8vo}b2`=qIvktX9Kl+MmMmC|wNX_Dc=qnxewNIqAwDHJl8O
zctEkz#n;ELHU9XUBPCV(Zb+p%wCdjN(W=owvP{E%Q8fm#w{G85zF7mw)J*lbWo=}Y
zMl%?`Kt}Ax6s=qh?3!Kt;?1m$TYF5s_%$t&>puH=`%4Yz9k=IZOVdETdv$X_&kD~s
z_Ex>Qs{!-%Bkz@ZRl&yewyW7^9isOPysk6SK>ydTLWTWGh=gmtYS%ibarKFE$EhRG
zA#aeYRsq$)no0ZRt<c4Nb&B(m8tNWL49sP$)Ms6o)K&*8j76;R@Q70dOe*7ClqKPP
zM{es)Co5bVXPNWapn`1EXoJhXqIi_zZs%@ng?+1wJu-TgK=s|T#HS*F4QZ$Dy<xWk
zqb)3XY$pw)!uvcP{N}<r$-{gZ)$2fyP7{)>QNV+c!1LoBELdvlu1?>-4vbTdd)*b}
z!H{VB8#Voh!PU9?p##%8C~1D&*B>K`U0ochO?E#Rr(d@<Jx;JhXF2O}t5Iphz1YJu
z|6emh=U0j!RmKwg+TEM;K2xEb-)FbA;WgpU>-(SGBj7~-t&Pp|;z+!t9C-Kg7edon
z(uuLs4p+G@bSyDMapB09nXgJei1j*YUK5dwmHC=}7y3*HLA4^KbM`-p_0I(Bf84Xc
zPr2Pbk*)%mSe;%JSv*Myu3n@+t2f7*zq4cCb@|XV6W*yGHbs;h_VKa*G{cQsNxJJ!
zu0c*qw@<~LDZ-c$7Oy2`hV!2<g#}G;qVUWXrR|PW#Kt#-tH};iNDHWPERn0gp>tCC
zapolPQB~m*OQH$B-rT_w_k#uL51n*pBPR%rgiAJdoyIsIwd1>r7Zbwm+7^9+$BB_h
z=ASjP#^_v-)tlP1$QU~>!yaKUO4P^I&QpSoAa^<Zu*BXuhSO+Yj?3^cp{cC=i1n2r
zf`rZNDdRH?O&{8(<U8Mp?^8$Jwd4(P;-=8R?H^MN7H{9a<O4&5++CjayCUfD_Ff45
zl=zb&Cta!^WIsTJw&jSK4jW+2689$w_7R4O{=cQyTRszh$*RBaIvF5fv)qpO6}`J?
zoNs8q&`Ugj;mx*#(1(8MrFR$d2N=vwPn(-Ey9xCRH`<hS^bvb9@4(Bbe#YX7;R|o?
zbr2ud89n%wrHAb1t9?o5dl)=tXJebj+XyGe4OOu+df2dC;AM+m2cw+buPiqD9U<>5
z+0=ep7awQadtXJrXAIqH<SA%vA?A3GZhR!Ai_oA|33d%F4EeR|PREPCCc+-;%1__d
z!9ag@w^BeOW5+3;7aKk|5cK{)#duX6*oRtpnSZWlWd7k8HxYk9w9dS2^()p!zA^jG
zj%AYJZS8+$sl1k;h*mNCS!v_!*2WjY2Pzl`-M0R^Q$`Xyw^_wc<Y=MYKs+<|WijI&
zP4;bqXf+|lBjGpqRulcD%Ddg?pE8aG9iz7Is33HAm!5dJq=Dd}D?gg5A2L48Feja$
zmJ{i(qxE!jHK1I-IaRaZKI41J<|qHTmlDTF!L$5+>Nx4TnqN&Xm9c7Tfgp{igxK_4
zDAIC8M|^#jcw=<0GC~@{s*lMO6T!L4_tM8!=6u}-l^CTEhNH<sPwKU2#4z>o#$|m~
zC=V<TsP`UR*_Q&i<+eN{)_x6Gz5ap<rm}L+C4Gt{){S0g<Men&youWFytRFWr*}q@
z{Si;3|8(QHTk?!JDejiXq^1mB?#j)Lw^E3-`C8Y=ZN-H2iP`<S(Mr%eX67#U-)$l}
zfGa&huY_=wG_QH}l?LyKLQngud&GN>lJNK)r9{B&o32bd8e;c5<7mbMf-CUPx##6&
zgx;OJTaODA@%*Mx-`%KeLc@{yHf7&)f}+${M@lNf)+o=$|8y?FH5&Q2)3K7+lXv^$
z%c~0bR~`7U=6W7snjb=uj;JPtu3Bk5U{=5h=R=jT`=1i9*jSi&fh3H@D_bnW<Ppz7
z>FuW$67@Zy`M1Vuh;J`)FP)i@!|1Ezsfg(!;_~E3{`(7cgwx4&<Li&gq2<Y)I?IV-
zVz4d7WO2g_Vx)9*UG#5R*p%Pvq==LeyY7t)1zR-`A~RjrWlzZ>-{ebzXTWnp^=hl3
z(eXw?)2}Frl}#26HSgASE>#juFT)3!MqU#>9?9(@aWb%uw2Y`|Aqd*r6F%1WTZom8
zxMnLYgQV6hleyp;;uUqVD7)<~k&*iN);~{a4653u$I$ACh*_6CkI%m+o@7(ooUclu
zF?Wgk75fXKjoH4h*{z+BW`C=8vPu#k{N*M_#2SbbX*NUp{vE{Jx8ZJ!X)4kb42KFl
z8;Pz6?#3sjT|`eBl_Oe{ii9=4?M|=!?{a4uy?EV6;z_|IlTM%nvg|sO+)7&rHl|NJ
z7lr$X{l?SB<cleg@!7UFW%w<z=CRNhsr1i8zS?4?6%z%tu-%uP@4hFV9l2>V?J_`A
zMp`jWZ4t+!$cN6>i|xd&a~?~Z?1l)lYpmZ(GR5G!-6F>4K?mX6Rbkc@_>H*66<P6p
zSrnGrg;(n=b`iE=)e3!W!^Hcr&U97}QJBkCd>TypNK8jQxqJBZDB<zgS&O|+1V4xT
zbJ@fCi0b($NzWrc3GV<E=3i<e;3&Acd8y+wA*^(xzwXl{@nl2ZpLeOk*p%B`!<R8Y
z?7fyJzO(Qbk=^4aQn5xD)e1}7rc;NAnfChJ&lNL-P3@UyEs;WyKYBep?9DeKgd9J3
zmgx`ip)=IXoJ9zE8KR!@_(6<nRgeFR{!9E7?@F?Z62v|2qnma9juID5zl#3exk$|O
zvv@i33gR(SQA|101TkZswz}iQGI2h6%)0uv0PdBR{O;G9B8F|LA6QN?lVke&Ui$h1
z_{O^ChZ5g3k&>kIIP5ShsipTYGWb0|2IV$#HPe0*zdBWmZYHlHuU-fi4hrMP>)TJG
z*-ri;9w_*Cyj<oWzx6)9vR{=Sb@qjt&-vyF{-^G7Lit=|$<?XCkKg#<7rOCJ@~=gr
z?~mUB+s8a)ylc(5>Zg3z<e}xvEyP56PW2r7d5(|F;Ivaac9{>qjkPizJ~5MDuc%tb
zx(JX@_vs(`8_I|LpR-+hJ*?y((JrrrgF<9z$LDXXC;2d8$2{W0$4+kNn0}G)RD^5_
z7CNSOlMgKW6#IpvImxCvtFO~W;^eOfVY3pQd??c6J^jU!o2*=n%lpMnB~4G&&b6BJ
zL*Tv<=P!F+QitkR9v~x4Vy7|BhjxB^e)*~Fa62D4x#f&%tc@%g@}wv;HA?`SA1GX{
zDi9zC7Vq-%(Bw&#M()L0LJ(Vz{V55o5h9b)8su8_6iGE>|1%f0gu(8+fAKhnDEVwx
zgttJD5_z<EM=Lw0C<L@TcrITQCpA7V7`67OkO6$nVTpUh5z-eD^xm3Edaz%IOt3nM
zt~TzE4pi)N7tT($lqO&DStUm3Xpsf1uI;TW`^{$R#H!s4S+blb{@)2s9Wu6hAt6aq
z4n;GA2O|E-k#(N^v%}%KWU}FWm-1%?3~~F!*mf(BqU&tdk1gntwm(~cJ)$V%ZV=Ch
zh87x`d?R0L*~fsKWjkONG^U0^))Q&3JC#Y3j7P156?9V2Ki=oNmNpE-w~8B&s*+QF
z);lsj8IsKVjV36Sx@e#KySI2zo#bgA5?fPdL{_ee;o6yEfHcz}o#Ts|WMTSZriHFC
zsn77#mnt>F(AgbVs{FLcOL6Bee%CW5mxMCgE_0e8OqK7Tw3!ZBY;zzkE60dDF|=@|
zGLV6Vk)=z#Lpr3a+;7HsgdsWTB&g`)Z3*wdSO4xg>yj}HKmVM11G3MXCbjSPI!LqS
zY`+wzOK!ArQM-R!kCYlulw{gzjepD0QWjCVq(=PHJ!z%d<n1eg1C(Pn2tJgTHm9dc
z9%u6?zz#KXyoKGlcbzSgdVf`_-_arUlS#>mzY65R9Ci8sDs7=P^^ZHCQJZAHoBZXx
zpCrjOzk2c1pe;%q^vlkj(IT6aIA~M3{3I`{>`q0}7D~cdtaAbyr0O}PGOf5pBH(ho
z^0J35<a=uDr4Fl-pMBprDLD5rHeW0ly!ze-Vha10;_oSuZU5H%cfE)O7I}M^^_6U}
z#zf>#ccTJ%Hk&zPZ458k6BP_&{j9O6>zBUfoGf|M#_>XKgCH^|O(mjot+1U}QmOg4
z6#4y2MOL)1C~SuV<`u`*Vcl1^%npc?c>GYA?j;VlcM&&U8LWd0hi3WO-9lvS*K8@S
zuM|vFtJlX}w#0)U!px}|Yf1WF#}7eG5|~xk@?mxqxY-*Wkz~t39`E*fY;8tGb&jcp
zohzWDo)@%b*D~>AwGr<jH!6(vk2PrLGB7%E>NkJl6!CN0Ic{ZJDp>E^ALTE#fW@~f
zhhj_GiOml$JF%>#g2{kKlG1GsnRqouQ++2xZsx+Fs|^we2r@WA;Wfue$t@$#8YdWU
zV%kmIPfI}kE_c<!HZwSg`qgh}nqz#M2rYX{m%!S=8rzRKrZ}B;uhPSV39sI!8rJ-y
zKwqxeMTFZF`nyVaj!&@SM~TglKnDe;@vAHx!%Xn1FO{k;&w;G5^a15M3TnLeyxsfD
z7{{lD#!ql?A%9DWfMo*(zE<W|{vpP=o7F`N&RGMe_BV+YgB08jD|lGPY>a|WN3D$b
z*J8dWt<gzb0yFi^n+B7OppcOG;BO`$4)&Oc;*bQsIC}XV)i;7c?)h&cPx*1-iQAa>
zTL}pNdvL+L#}Ii2f^G?U0!Vu?X|&6Uiq`SlXO&|NasT3-sk<41n17x+95O=1LwDyG
zeG5YzV&dg=yDWtEH-V3)Zb{;_3`_L!MLIb7G!y;{5{B7QBG>zUQgAD5l%~|takser
z+n?<sVCq*$m^GJ%MYx*Mjs!Xk$oGHF8jE62nYk;Ms0;$1E1CrQ(!um4s)$oY49c&W
z!(494VEG2~spk%K3=97`B)}yOo#Ev#d~&kD{9c0uIvo~Sf+CG`;!rB*@iH!wMWKA9
zowFJp#I4yRu5k+bqU4-P?d9+?;EZvwDjn6OM~e1;mq5vUxr)vA75gtT-$tK~o`6|h
z@nI@zc-I;RT$D#g-t>NbJ38v_?Ek|*A&IN6uV-9RQ9$#2|ArJFIzqYfjt?(LVg0pM
zx02Tim{`yDx-5x~ulL%&|74dzV#?M>U4Dwl?%wR)@`jF8+L;H&;$@I7Z+J76gNC9n
zL1I(<hA?a2S*{}`3y*`__WGpL5F)gvRM^uHpSPt~x97@&VoP<2Qc}YExHr;l)rP3G
z)p4k#%OP2Fn2#k(30$uwJ2ojAfi74TbdQw7RPaZ=9wBACc>Dd6eTorYrpav<STB$D
zjPn;+jws`Y(fvo9f-8NsRk|Vcl{|#X<$hl%RmM<R(2q?iD|a02%uZ1&1st1=kh}3!
z8DYV~gDG+*csL@tkyfk#Dy=G-oKuGU^A<mWA`^J=v$?&dDk5O}344wSWz6{h{+(rO
ziuQ9XzB(rqp*Xoecj=`vj!9>^GJiCM_mLK*<QIy_+!{=oKBtTW2Wvw!{LRq2XW^?W
zD-G7ePt}-K^y5Ip;HIGkGxR*AR|{*?Ft`8UW|?Fql#!2zH6zR+EPs;kzC8_HncciP
zvoz$&Cq_>*S>XP>kAc=!8mfL@&>1nKL3_C{=0mUr`en~<+-OS!pV5!A4gQKqPPsNq
zbXefImA&>PjfQOPR;6#T3Rq=zs&HPFfv)zE-qSOR(0`X?)OAN5haKaSO#&E5wVNKV
z%2$NCw*J*4IdX`tOr$@`U?9IRfid8sh*1w5N_Zj*_F}<@Q`HPapZ%n8WJUp}EBq&>
zi)CQAtP!l-%m8JGcgZwd0ZH#VTV|r9QT=dm=ZA)sxZWF099a}_ooscNDUyVqOZUN^
zLIxy``u_T`avzv{v&s{hmq6z??;)>i4D_`PIY^Ai;WV?vyxCp~&K^w3Yv0YlOMz8o
z-aF)=7biQK^Fs_<<nDYaq%u(H%lvD!N)}aP5w)tRqA+Q!pGbOd0fXWAy{(F}&`a=4
zIS?d*=n+;C(Q_8~Z+5LY$8{MTzB*<!7buL)y_IeC@)lr^YPGGHmBxhW+=1IELdXr+
zcwW5L99belQ}4T^u;WkZdCzZx7-a7sKDOH&c{#bAq79O`-;;K(#Z?fe{#N}bHf4s>
z`$bQDuA^enGkA!5S^yL#tsGjU87_M36jI(vz$HL?HO~s491pNPxhHIfCx%f!ohB)m
zbJkkQjTV5Y<-?wUEK@jTec4qiM*(BP^-=X10hoD=IyxJgVltuISItKp*UJ)J^y383
z!I!Gb*JuKYi>cv;dNEwoyUj<b6aZ;e#HH_Mg0*b_z4p^z;SYO+$HQd-tUfi(yk*K5
zED9GqYRg5T*87w0=pqOnFAceY7-R5mu^!pHT@**oO`d+RqK_5yfvxWH#+W~FaD0wc
z6xDi5zr*c>(EVUpRK3Os)q=hDmtTosa#U%}$R{BjmGR*&@-)Kwm|Q;co(P^rYk%jB
z6vl?2DgJGoMp!rfUen>a2(<Lq=s1{)!277}X1_v1Tq@ua?uZkC@xPC+C061vl^pxz
zy3Y{Da%xODvqaEvVDX{YM^QwEpV)Xo*bp7@Rv9rZB6y<M_-(9K43}@nj9a(TajbKr
z!SZTRB<hrCZF(*am(TITtFO}`NRQYr>?{h0@PzPbk^*xMZF%z@E8GkAiVZ1Sxo;$c
z46bxY;8ASux6N{NT$X9M)~G6mjTXY&pUzW}bSuW8eAWPl${#P3JrM(EWB{#SU23JD
zI(N>#H^7Bm{znF_#Brkg&A&s3rJ>1FQhBM=0B!qH^}hTN$1RTy>3VK5nC;%Lzwp2S
znx<`m#&;>;+4T2y2Zt=0y-C}SGy`<d!>jfjkib*w{ndNQWbtH+%jukS1DuP!GoNir
z#p6&dldi*ZSZY^jS;{uRvVzd}4bqZ$z+WduRglLWNq-a1Y6GyJA6KyFlY-rP=A@cl
zdF=gZw{P2L1K1p1)qI{u8nee=@l%r&AlsI~XTwX!dF}EawOleds^KC)cTj`~gIbWZ
zfsSkej}JQ&Wk5Ni%G$c92=|5Y8y8pdS;Wh4c3xT*SLVIH@6M*d_=Ew&Xpjz{_52Ou
zE4(0G1sb?FC_y`&xjWg)5Z7p=*L!n0IJ1;jz5S>JIle^=*QbVv;ytlJ{f!*Fy`n<`
zJd}}JWn40=Y=l*N>nhH;$|J2+C+AwLGS)2B>`i)XghRE&>X|`#w6r9D{iv)03CiR@
zZWCj$(sr&+J*a^77meKI4yl00ZIgXht1+Gz>^il3PyxjUm#RW8t01#9FGuRI33`*_
z4p4R|B6?4FnCn#)y!mQ;C2x%>JnHn_i=HcDYD|4}B0vSSTV*@h^G$K3c4V8N01a#F
z#x%q<RiH~GsUO~AhUW6X19mPnaICZWmD;3?%s8P7bK_<hnjuqfU87;Da^Sj=jWU*~
zLk-U&&GCIE-#6(g4NGO0ephEGp{ek2c`3gIc4vgXk*}tq?&C)8g<cxC22MCxCs=?@
zCCB(y2@Qw+-$msx(ZIH+=FfLl26VGGovux#LCkXNpu<{4@ZzFNk~af2S9`a7IY>kQ
z^}7O0yb4ga{&J&yg||)7IjSYHD|WFBEha4T2z06%wi{>Q^iEIFkXMQb+SpPRJ0*){
ztxrdXRs(C^gwQJ76)~M&+Ti&`290)CVr2z^pZAIl&#vTiRsLzyv^;5uzW6$JPXK7O
z_xJz1TLI@17{b|)C87F@i+z9-kPi9%G^J4<{d<iK@2u>lv90tpp_RDhQ>`_hH043L
zUbUl?jRN=F3g(6~23FhLRoQV(4w|=_bMG7yTj7UHe^Mv|G2u;mVI#6osVedfpB2Gy
z^0CdEl^M8ri73yqk;Q;@)}q=|VfZ}rHmhy5KwOBR<=Xo)SZK`NW{@m|29+Au`~VB2
zign)1XO_X|YbKn!If7VK%*tEMZh@(XWkh1L6z+IaEk}j~Fnv3Ibx5i?9KCOCdvRY9
z^~=QBYxV+IGTUlJS2oA70G_<?7%I&Ey*V)4!4Lkg*B+QZGeha_Qse$}60isvE{?j$
zkIF-ZUH2@^pqpxcIr1_EsZ!Nmy)OJXEKAAQ`N|ZppHtKdABrP1KeOVX13zZZ2#RWN
zHN|hIo<+w#F?j!XDZhH<y^G<&q;I_@xNJ0KKcOrJ;(E{We;4?%aNxsZijN6i?@eJE
zy(EgizwMd%>-nKx6{_a)#~4S(g~C0UMe*YNwr*3Z0Msf>hNM<FFQV7oz*yn%zohI{
zw=N05nA)%2D`5<+?dtLFdLmeLWA|h~mmo}>a#zh28sVJ5X|LdMVSLyUYP57m5EdtF
ze!O=yLY4b{FQqDB#4kG=OWFwGy-weT#xX;*Iy#I=+!sds`#0t(i!1xJ$6$p)oFTlo
zd5(;v3FE2RrTnRSVH9rqFdA%Rh$LjQYvl?f$3On$hub3XTC?8z(^opw1s1ZSnuU=`
z^uJ)gD2gK4O8@qobX<EN^f8V_1kV4ytaUpthFbI1lu9Q$HoH}*%{hpGCDrB0vrFR8
zUNpF|%twd#{*PgYazxO(9Fh6+J_Q%bzK}ef26$;|_C7&W6g0ovwJXYl{{a91|Nj)1
zc{J4DAI9zbI%8jFEHn0XW~{>_6hcHuB2kvCl~R$AER|MTNGhb1ENv)D5@q=cQBopB
zN|e3LZ+?G$&Uv4E?&rMkz3=DsJOQ5`)%h3Ep}qWUoz?|u+*<p4gwCaier7;_>^?da
zYmf7e=*Zw)$Q{SiYn5QGchaKEi;kwZ`71#^GT2gamDlr%G8FsssyUc+{N0wJ@0BTw
z%sPYXt|=s>5A2&R(xF4az$nYfT@D{Ld#9Dn$*}v<!gQn1VewIn_*hdO6jc)+uSGI;
z%zRJ3rbWjyV>Vtvf&%7NDvtelsDidp-<?+Gbfi{EYlZVGqASl=s3K7n+R~fiA8(+;
zGkkjEu!s__3c1mE?bM)9^Yq=_L^@jjHssRC%JAgXvrrIFN8o$o4L7UkD7vZ>vR9de
zRUZiL^_}X-?G~^Xo~NU>?bigknuL6tyW-oAQLr~|=(?^w18zl|k~5sh@K&p~HMFH-
z*yll^;WY;G-)UEejgjGC<5KqRI~B1$E$jlKCLk?m{B=uG!KdVwK!sx(*nMZzczcEk
zbh`Dg<jAVx12d~mSXvW|8-bKk5mUsCT~6OrsS1;!Y2BHlnivZo)_PND3gSNJ-dt8c
zkB6_ZEqvC5(YB+5g-kQFd1#y=yi~(b$G7MNH7&%jDY#mHGy|Us$NYXzb?Ckp<utd^
zLj2@B$FURUcyHIGw4*~EcPXX4G3Htr9#X6PWo-ei%ahp$85A^^pN%7nXn}O!Qt<i@
z3#=((%i4C50;3J|HRg4i;FvFd7jnfC+&krJe-BX5=H(q!Z=;ETp+=`KYnfQ$f6^2n
zNX0jyn26!48mK0I=I)$gBDkrHA)v{s&%Bl98KJ`Z$LZ{@R4ce%Sm!vZPldohZ0oZX
z3aTlb<r4zdke}BLa8;&ajNL!EiIaj6uS~9ehpb^SzFXdUk%HXy7rsUPRD*Eaa;X2P
zHRc$#b;b`Vh(9H?>itVq+^INJlr9YfC)n7S1W{mIHMtO0s)F%JfBs%0;PG9b^!{aa
zoIX`K6_!9oOs#PEk5#~{Jr9J$4yr@p?NxzE4-(?Cwp)rj0N<~@Z?t0lkKHNSp+8g!
z0`m8BOIYhKn)DrJ->8O<-rdgI>=mFdKc*aD46ON;!XV#Mh3xChC@*_C_+Ls=mXHTp
zbx(@!<yXZkA2rk4Q8MUw!le{HZ;j;V>&E(gRPd_y{M~{UDSRG1(Nt4n4bld_-802x
z^xqcGD|ePeKR>l|Wvw+hrs7VmpCy5pS0rJWO9B_T4)m=Xw}SJ!)<aIVBs@PQ^z{1_
z0Um5Rk!SW>;jW&bRJ*=12BO;j<?s-2-7`Qmo7W1pD}}%MJ}JVBi}I!2SsbgGt<D1{
zn2^5qTd%TA0Y`54uVSwkgVi;W($^A97=@p?(vvC={*tJBUfyDeHV9^RowLNu)r<m-
z7&#<gkPUhvDF(ZJt<leAE#WsE@>z4IEZ+UPzp>_<DBPHyV|Vi`(0<jqV<bxkRbtIQ
zd{}j-wkX<0B@6Je#RvVXmByA7%bKGEF+4XsIU0D?9JhJLf4t{lUFh?#G+{?E7`HZA
zZPhTx^{@(ot6Qb;BT@18v2$W*T<YW+tT4l2h1)|$gOX6u_uggnM+{Wm%p5aIGnna`
zY~K(ji7Kswk-Or=A+%Y${?iLn<d}8)Rf<Z&&i?6E5e@?W9^?|X*lY^sNuxV&J0$Sd
z+HW=Q6#^&?_iIninjmOg>Y{(41j_zoi(GLhVxc<8*dp5m?4c>1jhPY<;Oa>6B1#}g
z<CROct_ds!(zj$}NMI&!(y8Z@1Z!SmEQVh)VDPi+lx@BQO3kw)KetJuAS@C`4lt0t
z@^a|NQwc;rKI4)4ND5xD56wPkF)&;Cp6v&lBsf;@SYO^Kjpab{^12UnENeF_XuGre
zRgk!|_mvDJCI|Le=hNYJE69A}t|YqMzx|v3B@40r?%zlObUa$x{N|%JYhQZ#69q$g
z=$AX5jn<@NZ%A0e@I5Kq;^ZZM+p7TGilL~A-!z<>A2PkXUK(fe?$N3LDWWwe^VH6M
z8ff`)cAwZ~;CXz0A&8-j`{ri4>uPD}@Fm1YG|NDS$IyGf7YPr8A@}7v4NqK6TSszb
z(V)m5_f>|B!Nt+`ua{|fS2J{B=ztuA#tb65N67Hs8kfp{jRq-$QeuCsJm#AG-!Ljv
zAln_9vs6jLd?A;ka=ZdY-_E=oOHl>suW@#CCk-VR6ZZEXSHw#4>v>lnHF!t_agr8j
z@NPVR=xwDE1j`I`Pw1(GBfoR_4vR<0`ab2&qsnj&RDJ2k(wTdwBseQ$>6qYu{CxWf
z5*`(gF?jnZkjqI@I@iMD$PM8OlZIrZY*l)(>k<{S`;PXPX)r)*%DGoGKt@OCCIZ<{
z18W9}o7nRh5IFp?U7V%=_G|9R8VG5^-Ff*#kb((LQg4{YQdGfLBU2Q2Llf`4j+8sy
zGQs1q=L1jMRbg(^8F^M;3kwlv>z+HB;!|`|Rd0kExQL>9<cnGe9gj6hn>EEyv&udL
zUUeM4ljYexrUm!MT*peUn?a}jwxHd4b+l%0-F8b*8)|$f3Pyv>vEujlsGlMQM+i-6
z>sfW;%Z<EY>K5=?cA02ALqYeu%FTu&TA+<+Rd9Z>fO{NQRNE2-c@zoNmZMt8y=YuT
zF0;fZHpN}@j#Rw=`sMBm0WExuq=znsFyZrM-&OH6D!M8T#Rdgv!hgB`Xpy`Xc!mDs
zaVn+4Ykd_-jm5#5XZ0Lgo>*ZuukCe*Dk?s&kNYE#Lq&Id(a&NZYxKPM?||b~Dqc*?
z#BEBVz}k8Lub{WqIP3STMkAgI3GNp=1Krh;X|eUXs2VVL=K7yd8Wl?k7v7TyYUuvC
zEk45)_~YG@X7HMV1qrt0r8X68OZK>VF#>oJO}We5MuFjnpEh=hWW3ROL!}-B(nXc7
z_P$fc@XjFae{>Rh-GV1~qyqa^3tT9)W4)Vr#gfUNicq~a`D7^p7`VPVxiDW1iAnBX
z)Gx{-U}{LAa0l=<_vrP%6RN1XR}mN<E{iZOyX<XlfNY1J>`xt4xCEKCuL_q&)P-B@
z5jw!ri|-DX?NC9c(56sAfh4-BcX57V0}i?Lh#QxZG5or$#fnb?{SETPTm{znW@}9J
z{X|0S+_lo^8w5;!b*<~ux5ne3xw$fR5{8US``;cCha%m+J)p)4H=|T@Ui2%$IkPJG
z;xRFlI%hasu(ZPX6LqEG7)883c>3qZGom2PywGRXF)<ZG8)#BcfT=ip{Hh%yfP2R0
zE(Q~Q(oymMhU74Da>UN!yf6+*d%NUSSR!>Ho&RXHEcotCrDPL@A$U0P-y=;+#Bm8y
z`me|!<+GEhYQGQy@VuXV%>vxVPumWZN@ET2mxk>dAuLj-B~B??z)+MjsQg?CcV3G>
zdL|`|qXX2Vl^4u$Mc`=GHx4PJ7#EQBGKEolzAsZ$#vB&)S?B0plBgL|w64$=!N;&3
z7nKWU*h7&tuYV$eFj8f+)h`j8yxjZRP0<XEca&3A93;SGV@#*~5Jm4ao8Cf^DfSLs
zD*X6~2xW;ad&1Mjpv&d{E7-sk59>F??aU)0s;a9}T0<Ni8Ql*i8%z*?C-R7CC=tSD
zK@b}hhro-M{yiQh_~#JgdU-7osbU){hw=#sBMdy;{*3{fpH{+B_CzGvtXgFiLqxCN
zQpj8;1F<#&22!3xWcX%1QTLR<jo&8K?K%v6E$)k;#1j!8Kg_u4Ac;&dJ@r+u=$KOG
zEgPyJ;>Lza(-jvf*agn=+)ZWaRl#uA`@cl2r+fYh50*yK^0vomrgUuOJrY0aF9G*w
zS9>jv$-wDihk*JV4c#F<O=Z0jU_5T&eB2@n!PZ?y0uN{yODtUx@RJ04B>QbGae3rz
z;9h)~OhaK=VcMHTNeF599xaMezzx5d?M<FE>|u-t&zDGHQ6Sw-`Mn}cAISwb8nASD
zz*NpMOd4?|^ZuRz${5cv=nRme;klHV{9!8@B>qr&HxN(4l)4Gki-(3krZt8+6j^L`
zCkQFA{I${X%1hhWY0$pecvhJ#hs^dHC!VROAd1XJ_2px6WV74dN?m!}E;=dD$F7Qp
zE*nnsD9}JXM|*H<tpYBd-r6w#NfqPI9x%bAVYtko&SbwL=o1^(9_Um9Gx&zyn+O{2
z92{jcdZ>hBa>=s}_toL{VXNc$G8(F$UZxT_NLc&kYE0)P3LeopBlLgKFe+KaDO*lL
zMTkkvuR~Pazxr>D{zf{^IoUaL2aqx9Chls((*K86`b$e~bX;;7AV(2ZaLd-bGe=t!
z|4Ho4xb4Wm358>oMbBA&w8;KR{G=vAuYde5|CYu5@|jl^Nve2s&9hMGtQN}o7Cg%n
zOpwwyl;viuhP{71bLgttxD+%0$6MDF1N1@Z-y>>}^QNzQc3K;5KVBuJeKp1Nv51a|
z40V`%>k+Mar;RH*>?z{+%)nr-;UuY3z-LfivU^1vzLhQ}NH@ndrdoe`H3eGjToy8O
z+DO<i&iT~e0#bTk<Jk<U5OTg2{NkZD=DyD<cA8kC^212pp^H@TJSvIgbk+uY-H@5O
z2ovNFvqu<HRO~X-dimnE7CKr^a(TaFBCziMkDC+?$fODG8y?n#<T>OG7g|B>d8oig
zI}NnF5k1iSiN%El|E%qv)_CyW$>#@GYe0Eb{r!@sROreN#V^iU<6h}pRkxM~J~nix
z>8DcQN_;fQ!V9{8QI3E6K}Fi-8?x$}>iDj_b*Ez-iwlJ>1IzNMU|L;p;cQTa&#vYt
zWd$rBPCuhjq(enDVO?j6iwYcEB!fn4fW7teH)V?`NSw)NC%+@1#yoXBM=Q|l)$K6M
zO~Lq`#je<|N}y(3c0KwGP(9GBV6s6Si>^+8oGcZvxyGT%i?t6yd&B-)Ichj<9IdbP
zP!`GlYsyjz0ld%Xo_e8*(7Q50XF{YA)-}zyDUqfBd9CH8ODcHpDMTr8lZ1ip!C6~(
zAaSBXI-K?HpH;AL>)b=cSlU~ZC<6EOgL4nBW#xj$rhayB#le>R^iV^qH4>%jyZ-DU
zK}oe{E+kP5xoz#FXeVo&e&cMk?8?f&CapKk?u+1G(%j!$Emj~riitd5uZYDQ6P>V8
zA^3Iq2_3Pp!k-xJt5=|aDv75qxqAg+`#O0~<83C6xNkY7^jZ!>jZHLzNC8apP$u3f
zGNI&Id@ML!79Y)S9Sy4GXU&`TAnCXzBz4C~>TWXdk=fUg>ctQH=*eqm{#d{`^k7P|
zu{26gJ@egY#*fVH{a#{`7KnHnX02=_1>KIALhnudIAR=n%VF3YpFSTEWU}&)xxX}T
z!##eM{|i0Z>0u6!Ph4%!k|iMW`bKm4Dgn%uXAMcVn}N--Lo2k0h+kr<8d`q^Fz%v%
z{II<lynU%fmzYGDUe|As7!d?tOn+@;vnleFvRs>=5YSujb%gp=2sJIuM0tBtXtN0q
zkOK*Ll90eYCL@B3H&0UkdtrjaNTuz|(gdXctG7uC6~)1x28S1(Ca|(DDa`sT4!>O=
z+`}TopvgOM)bS$&`zY@|Dt3rN_e7n;HJUj3*ZjP2Y!3q~E+0nu+QiXd=Uy@_M8LUm
zk-k?V4Aj@Y=&X7pj{Wv)8|>x@*iJmLBjOgzuSShf&#@7(rS{}r)$c?M-~ajR(mFau
z`4=PCSQ1dR)Ou-ZQ3C%CoANd;(J*_&qIAbG0ycc>Cg~8R5E8<()3B6=O_!>EH_Z@`
z$Mx#VZb+jkE%n1De;Rn+PpnZ4BjV((pE6qx$)HSetJFPt8Xo$mzS=rZL{Y*{pM+jn
z>}7AZZv0>jyR8gDdX5AV+qh<J%vm|2KwVk1+!*;B{jQmglK7Onc>~uy1*klPi0xrx
z9F3WXh!U4VZD7~65nCnb1sK!_2OHyN-N07!DJjra^AjsRE90hq<xWFaWB5jz?3);3
zapa(L;O;IG#`a1t9I`bAo9-6!)(<l9D$ZSQts=udB6iDrJ7b)`%eQ9tqAYf73SW2p
zvI>TFm@1ih7~^@!Pp)RNJbaItzAHVWis;Xa2eYD$!Jo-dRp+mOA<Ii67mll;)aF%A
z_eEp8I_JDT?Y1KRvwJcaepDU0p<2AW{l?&x8aqENq>O*5GpDa+QD87p7^J8|1DEzp
zcm<P$fRUvoMg|oX17(jUlW3^0zj-(CH_NAqCWWOQ(!if!QFEmk8t!wbbeq+)=C^<4
zfL*jEyiM6|>g=LJ-@7mW++h|k=8fC()@kA3Xv%sEeg<SXzRDbSRz?4lw_ZvL+K_Uz
zzt3020O9eokaD6LmiEs?%yel(%ZixM7hwW}SwjAf0X1xov7Vm^)Pd28aEXH{iwhTi
z#@C%y$H<m<{qtQqSU5J7yNzImyZ?T;csNk7<01EV88Kaadb>F*ZpjQ15psQZzEiM&
z!GTO9>7pguN`-&i9Bn!DgL;Rl*i2mVD*UB`><wE<?1L8Y$+*a-$Ias3;h$z>`8tqI
z74f{@VTn#!`vNUW1E1%6y;`_+knAz|aG-{Xn_`4qg-06ju@d>uh@p*V#p(A=^R2+I
zaV6IB8*4qEo4cc-7Hl`HmP(4U#tlWK;xm6Vp#5CryesR=_3HAUx01l7Z(h5<e$_y>
z;*v{J0TqJM_wKcY0OvMtte&pXKyrHbs!9?C`XZDz=Q7|PcQM&KL<4)4$BcT8slh%z
z>kMNU_`Nxlv2LCUU%7#Dw<#4QzE@G0;IP5a%3R#B?Ns!0NjD`qlX1RVIM`dt2E}cP
zoC5U}nBkv+P^dBn_lyT}%GsdL>+#N=E9yv@x_z_LM*+T;V`al4HqgDKQQybPpP_G`
zmiz9LMZ4eUX|n}jaBL-Zx0@PvY_&X+)F%b5-<;L?F9C;`xrw|`RTLBc8r+VRz?qDo
zi&a;Fm!V%vb{$Xwx%7z^bpruQtGar0Sh?disdD<mF*14@c(w%`62lFpVB2z5zEGUa
zy&X}=;sVvf<K37r!s7By$G@}&@y_moZ9A25GP!%i&|MIx;=a5Ov#~~>UIU@JS`n*P
zUY{>y@`G2#i2rPv6@F*8y;kB^K(pxP`i+IWxS8MuHi8v=Hnhws?vVq1Hq5p(iU+-t
zCQ^ZWn1~OZsCND<1HZ$0y%#QV!|(MzMY%ys=#}0tO)Zp0<T<9%Ar)>A@|><ZT3KS5
zTK0W<ixgVo{64zQa^b|!L7iS!UJz4!-=$+MiPXds-`?<WL*@I^cVU7S=qQMB*=!+!
z(#87*zdgAT*|R8cG0q&)dxo;@HW2aQqVVXoer~kJUVr{_)C^@Ze*S(eJ*-S*7Z^_C
z!St=u_MskTSZ*&2{W2_$eCN67=bL$vdL;16wN_J@^E_P?S|<)eO@n|GUp`EQKZtFx
zHU)V#Nu%$z7zV|L`DOO;<B_t8*!MaUi0bE+*(HeKkcP<l*argmebBwt-_is{6=rrJ
zreZMbS?gyiA%wM>8JgBj3{3j=X}SrCVfxLec2l-6f<nI)Ja%Fr$*_mA_PZ#W43~B<
zP()F&SnetKhK@rMY-Wx#q9DG0RDLB&3}-vLW;RFAQNOOXu1G`-8x7NcTW=J{o-i``
z2NxYVXWuQ$nv0=Fo^CkpLBN5O1JZogXeiCvCoZ*L3_M~gP7wh_a8P2{rdQK&MD1m+
zLl=u%X^E5*2@;s@6FB&1#u(CmZB_>vEPico*<^D|61j8iI%lpJV{($b{&JN#cCERR
zwtHF%<_(|qR5u!<WPi2W?NtPHx<}MXuaUu<nIrAmGRBDLiK%b+Ou*2y$U4EhvUsUb
z^UreF2%9V-1=ubVv8DQFw4{kV7N<LTm&=WCKqh!k(GCgd`KZ#mx)pHtRC2duh7mln
z9EQHI{6Nz<Bjr@G64>|aO8D<ELb{0+Rmhf=M<!1+R;!U9$?-~|YNHW`4t#NCx=N$j
z$(etFNXGYQ+hJZ$BiwCsD7+XY1Lv2vLb4(%kUBM>AHK;5>kl+4lZs?Pzf>IMPEZB!
zbKQpvF-9mmey9J!cR2|1oS%wNRs&yazU^R+5lkk0zn^wdK=#HbFY1leF&O7K?$mCC
z)x^M@RgH@9Bff|bbfKVL;7DQ;!5DdO8VB~+E2HnfyH2}9sTlj&KYlI37#|vMjn_w#
zu#abT!?qL+B)L@NJRdYh!}ry*JRswbSjpdvTup4k>*?OjG-NeC(vX%>foy;f@8io_
zSnxcNwPk?@@z%i#u{jkS*y|uKcU~Kg>G~06MRc&~*Y3RWQWfv@jWRg*=^!pp);%Va
z0ngq~C6sbC{ILA~bghLh!g{EMFJJ=ykGF&Uj<EXqsB088po`AH;tDApQ^c~zzODA6
z;LPy#h!6I9xZ-naae!(D-&5;*&E%=jr+HWIPtrrT7x7@JfjQ=0bl<)I9~G97mBF)#
zdJrHK1~XP!AnCw#ad)%^^vz!sZ?n|H{j#!;9^RJtEtPF+vZw*|DU~z*4|G8vTbfe{
zXX2XojNU+?Ca$=J9Jn#915$m<LF3(4_=Y0@OF*>07KB@xX!cmw@Z*y<GSa>jiAGyP
z&{n=-u}2f@rX)*Gv(Cp)_Kb?Y7VszS{LQ_6n)sj_;;*8n3FkW&dPXN$IYNHbm#jOQ
zuqD^ZA5Wy>>(@hUdSigNhOe1(uqJXYx;iF3P=|3BtuBCSgR4~=t^Unw;HgIV?vnSa
zi2o_H?~%6+_-HpC{@tPhVsQSY;T19}1r@rMcH7{;Q4#u;aw_tFPxbDgl8_hvuskWr
z21a@jRs16qmj7CRGPO|wA%_f>edBGQlDpsW%O7=Q``VYwhRC9SZlP8@&;~D@7SGu8
zs>A-oSKnqgDLfgfWh7hJz+y;yiv_nDxGm1QyQLGM&1YC}kKYC}C37Bazg1B3?qcM2
zF>&k&r<{7$3H<#b`Rvj(8EPZm#oyivV_=<|d~GHm+%bFR-xvwushk7%m;!k7{8>Ef
zIB{aE;kH|YG9=wy)1|C=F)t?TraEGc{NT8>>=s3&-%KdYdBufYze;<_Ol$O%r0)Ja
zB9BO?gxIrl9GI@ybip>q3UVAiheKuLps?0XW=l3ZJW`ut4}E3A@j^$dOoR+_<i9Ej
z=dj^OPm6H44HLeT1AYR-thp{AuQ6L#vF55%>@+)XiQZb{!v}Xt;+VSs?vaoc>tusm
zx8WHJj6XPJ%T1L4<#WP*z0eiwj%l}a5oZg8B(fD>`a{6L6@e3<M^~&P8r!3sZ<^!g
zP`z2-PjPG-E@ip|u_5QwewAN>=1?l8ti0zF$AfkLp>7=PAm&Pt{A11V>TsgYeWn<`
zRa7q?Xk&-1&~RVbpeg#QPsDhTL~%^yucS~V2bO<?T;q2z#a4kblkva8ctZ=%^?%5T
zKb~cma%xPVwC?E2adBbHCR7c)ddr2Po32J-`X(3`zNKE{BZRxdzi-yb@_<5h<jcRo
zfEP2cVyRmYl8O>B>ao0d+SkTht-%1-%xr={ydXNF|0)cQ@S!4nqe)5`9o}xA3O=nB
zgbTwv(>y`|*P|2EqKxTyGj=2GiIX5ac~?Yr#D%b2Q01-LNW)XQXf$b;AR-eV1atQY
z!#wkG<`;Jw<`#BeY-<+8&Ym8R#0pXLd@h&kn=pp@Yu`)%SqR})RdBM)fEbRX$_7x=
zj3KYRPCaK(2p_g3pYs?OhYlNqOM_~R&B;mrPc92XDgOFIHa`(DLY=26{~4ithZT9v
zQ4#!3b*x)wEdiC{8Oh{CBj|8Ho!xLr6pjT=%`=&jC~dhtUS!15|1@HR{thuTro_8-
zO-ezlB>Sq^v?2EYhzUL{FOGDx1$N6I8GQA;Y~)pKh|&(u*AgGZ(f8`y;rKaOJSsN-
zt#HT?Rb38i{A&m-U(!)sa9JMNtM09+dKrRkMyO`;IuRy)@hNAvDPnf<z^pC95Y08_
zTO4mm;E&JG-_xs=al_^ne=OM$yibo6bGJ$&tR=-~_6iBVtqNQo$r!@r#)4h`k`!Y6
z1(wCj$taY$LibcO1mBMH8c{Yf5Ih^I>)EOTyQwXN!v=<6@W<b*xFU;*19f#>-&CO~
z^{T(p!w~E%df$Cz<&nrWx0#@*j=#Pmmp5h@LTFQvj994x%paA#7W=;*2Wi{zbQ>c5
zdx{&6ixMhk1M=8%sHjU(;90F>1bmv=6vs(I!MkTk=+{7+32*zw0weqn0096043}p(
zmJJw&?U9ka$@Y4!*WRAXh)B{fqOz4yl#DVWO-<5QDWOtC6om%w6Oyc~3Png6kunk)
zpTGC7`#A3VxX$a0$u$TY7?s7V@B@Mt!c+tVgk||tbn!}($t$o+4ibxEoj#6gpqgHH
zscX>1_mi$sTFvrUl56|O8mSJqYoX1_C-vaAVUGUowE`B-j=091(m-@Y-{BrleK2k+
zkH1S-glyMQJ@r^k1cjI1ad9v}A?IKERGAXQ6|1hlwbjBQA!f@QXG0uWuX?`rzB1-^
z&Rr_*U!5m-zV-?=LUa-r<>Yx4Jn-KYUbK#ennjOK92v$S8xGg&`cY7H=IuO(1`RtF
z0u{SDP2hVd$?vFwDyWGa^co==OeNbxIz-H1^EB)u%Ue|_xPMP8%F}|%nXJ5@?&i2#
zwPh*AiHar}VJ83gnwVjgblY;-0{O$Lzc&?A(QxtV;Nl|<=w@G#eOXChC}&f#<1iI<
z7BP=gp^hu3elf7@1q>)Tp=r}p$dr*W)90v&Iu%UWF#sGGJ-RKToeJs1zWbK9DPSDV
za4oU31V;|-*OO!_>i;fZSH7qWRnJJf(rcCoWwR@|$w9^X%;cn2KSewlW4D`Ww?qUM
zehm1jLc;NEdOb}ZKSw-Xto^e(PvNjUah-yFx@MX0SY>hG2iL>@n5^(5&Nw2qNCj1+
zx4r8JB;i9TJvljViNKwFQ_XqGm`dR47XK#-sxsq#r9Mjt_<hk1xuArJ8pXWtdxcPQ
ztyAUEV@p&CW?4NBP=riGX2uNzer%W5cQA{#M9M(+-f}$!NMCZ`*Y4y-r`OqEhqWys
zGjHOo$|w)3BPJtl92_`({!P#9AaHInSwgB+7Rm>eZUnHhz<1F;arr!;{DZyi`^I(1
zu6HX7tzrPD<V;?=9v~k&`XirP8rj!^^||a9i6WJl?8Zj~ZpTeLaUPLCURpA{p5tGF
zqo!@-#;gTY>#iE&s~D(l7h~dlW{J$g!<8?MEx^F97MsQ(ijO8Yx5WBS6S^D|;VlW~
z2+Hw3Yi=bBz4@qLr8-l@`i0IAmO3-Uh-;Zx<O_m%A}8cx;cp_7z1h-)&kVJhMt(K=
z0*H#_G#GpOn@F*eTVdO6iX(4F0^ElAusnOBceBA15y_-K)Ld+W{LPWY+(*`;wkxpX
zpV&09q3^Uq6RQcb??k9Fgz%vGsIpgy;|!5;bX~oow=tT8cyEW?;=-MvGo6Vwv&4oN
zx9;I8BRF`)I(_F`1IHIf_J<#wBm5jq4oJuwL6G8A_N|HoF5A6W^|s6t#Vn2QpPw<r
zrRZNfzT9PpN=&Q6haLZjCQW-v?W_S>zMpgRqqAYXWr|to=_R7Ocz%KwXn@|O(j^)f
z8@4ljU~lPJA?8%W`xkrkG4K0F*Y*S}{F}<E)hLXR;(cqOyj>r%oAj=YQCUGI5*}TL
znDFm7TXRvH9=aw*#mnbeU~09rW^*Sq8aDXfy}3;fpX@f)WlXX_j`6nPxE(8srKBep
zx^>}DdE2XZ4J(SQ`?Dh3*pSIvc&Eo-7YCBXtYjTn!N*f|k~@L}k3`=&ZJW_Sl0q`W
z?m|}Vwz0IA*II+!{u+OiPwOE5dlJtmjSa#=#{K&_xUr^GPc2<e2P@vo#X%q0Ajtc&
zYJ`y&@43v?pVGBqZ$a7rDT^It8(p98Udx9WJ7ymRKW&7t*RZ9ea9}8))=){CAL@$l
zrc}7Kq3-%-iRT(8Mxw1!*X$L*efPd%i5E2dWZF}-;q4ljY!e>pe=3O2tpzmya2iq$
ze<QutapRAz_Gq${Fb;0uwMkT`A)&Ulx%>tXQr*(x+A>8T$0N6%aW&_zl=u%!5Nq+H
zZ18=SsTc+?<u<H~*21#D&X>a{`C#+y`SV9};#dha+BdpR3y)ZIP4klZA!rl%A-h8o
zz2eDRsh>6R{9TIyaa8~g4Jo$mt<rd07N<G$P!q?!9-^XJ5GLPsoVWa12b<l|g?F!N
z;z&Z~VR3e0Xd5W-?+}+m)PVBT*bPnWK1me028f{eA(Qp=MtN)x=i1j;sR`>}&PJAf
zqG04IAWmFVKzrFxQ#OMZ4A&U)96BhDahaMcf?pM3XhJU*+pC4niT#15@{)*PvlyJU
zQHGvLv>5fT7S7dsor<220#TOvzNkb6ucY=ABze$qr)90%kq#N0nDF^UQdDuMvUhV-
z8x7r?uS|vo$>PYz2;$gnDmEYNQ{i2`S8YT;<?$go)I=WYm=afq+=Z1NX8byEFm^ir
z{){{<H>F13Smn{5F3N#>y*gOeId&rTo&st@+ce?^HDO05>O$V?VzSxm)YmtP5Ks9y
z#mPrQ|4MMu&rUtOZZObc8dHK!t-XwG1`XA<JD#0e(T9Lo*YZ{l6>wJz@uhHTWAES4
zTn{@#oZNP>H&mK}&P0ZPMsC{Z+7#P9kY@xnlPGVsRUR$7H*6e<)5gc>#oAvoCTQ>~
zBt8gGp`I2)_8-!QbFtvmsoSRbyNUC%*EcH4S2PSCn`i^Z{Nlf<=D2#&B(37I8idas
zzF5;pgH4E{ELV{Q5}azpj78Nk73ZSSr$WP*PHC1se849o33-8Fb&T-2vd!Gqgnrm7
z4~Cb(P_s=H{ggV6RL(3F-B5?Rj$`Dh?Ut~-99kN>PaRJUXuDJFso=L5nLhB|5{t$>
zJSGzA$g4S5O(RtxbDef#yQvlG{-i(hx~PT<Vts0huo6@|*E1*`w?f*vwO+EVRCETU
zi&*){<F!xNzwO0VaFMxdoHn3}j9=D98R6?tCekfbU1^2zL0=E+1`1M&HYo`0l)#O-
z8rh`BR_Ofh*i)CPg6A1B>iKtsacEXC|KfQooL)XqX#{0BDjB#$?&8Ojje+ZqxL83k
zvMsHyR}nM30v~HNxWJcDc9w<53j4;6RM;I<z+_nA*|!f^Fk&HQ-d}EsYx$k3<1F%c
zbZ4QD&uf`*8RZT;w8Ii7<Bcw}+>{0DjuUfPyJv|3-}ImtGplE4>}q;_SOzwq%X2Ju
zj1vK`zMAWt0}}d86SF@`LVQ?-wMBb?aEa8l|0oAMI1ucp;x3M7o2;_yE8B=8@ne4i
z_7i9yj=jgZ%A=nJ9f3n+IZ-)g<ItR8fiE{S^f$E&L9yssZcN=xdfe@@r?Cy@NL8=j
zlF}-GKTgCa$I1%&H#YC_qswMEy1wNo^&cOcJmZD?!|3#<-R2t;4b5PF=EXVtJG{_o
zt{VA~R7t0w9E|x8X^Pj4OP7Olx!@EPPfC1zLf78+az6K&2@1B%c}mZ(=B&(irbf=2
zbbkMRUnZDL(D8!Xk~4!12j6M;F$Crknn(4e|Jz~=`{S*WUdb$Ye|trHn-!h-5Z7RE
zIM)bw8QDq&A2DIE=A4w(WCO9F+r}EQY={PzTS2^%j5sDg{!KczgXqc|w>IBt2m#ie
zayJrI2!^a|wZ5uu;?SAT`>U%AaMw65pP9Bq_{x8BZV~M#*bPr5zEd)QGGEwU8_R#h
z2bDMRRo-8TFQSG$W~utC+!4x|&Yvd+twMvn%fAyVb>k1dGw8$fTu`Qu?_c70E`PY2
z<QU<?X~X*PkRB9m4&>bSn<HjU5^>uvOb{iJf(;Sly3pDiIhc0;55Zh-XY%RHFGAv&
zZIb+6UAPN|aekouA=J+&b<4O<5lrNW_T6C}Z2#7Ms$+1Lc=MW7ZA5Q|Sf}o0GaRgg
zO?+jIkJ@GlcQv0I_Z0pRsTY$Ydw*+VqS;p6VQQAxTmG#|pYoT;eN*ryb~O)r>q#>;
zt3QOrb6P^X?E(=o7%ll?jW+bfG`UaF{}4{5JuO1V7m3E7t+7{c(%|ct|BMziN0=#J
zHJTV&CS1**2J-9B(6oLrFWurV!7lGnxwV`DuDxzIJpa=|OvvYRCB!`OsiU>$fFKk8
zSZ+w0c&CZF9l3kO_AL<ewwW~_&oDz#a^UG-K26jXKgj5N^N;v%;-&3NX;#ce+B|=-
zLj$3%#=q}wSt4E*U+urp&W26-QFfLO)Ul>fz3LM83ei>AerlnB1GD#eO1PQTvAucQ
zaBe&UrbKU9jXqq1S*OdU5&mjm^gGOZ>=GliE_F(s`pk_u`@zYXmem}*=fF@#GGUWG
z%ZjzxTC8zDX-KoC;#5t-`dxf1(7Km6I6AV*!?!1mhhM28tckJxeG)4|nCAzDw+LWV
z>H>w$akU>u-6^1pvV%9J&ex(_5DO0uUVSh~!J3Q1jsH41;N-x#EO=ZP5&V@u)lN~+
zwx6Lk|K%Da%3QB@-7bm~jz>h4Oex?d*PT*m=Z5_bRj#*=;_!YL;CYmR0=^x?m;Z>Z
z#kW5Ge5r6r{51?sO6XRBn}G`%+Q5gaYxlhDBBi15e4wMbUInM)x4E?_3P7`APVR=R
zEJ_bWw4QHMfzmU#%_*6JsOP_MKIX6-Qa|6X@|jb??|ep%1Os7Ask#TB_#uzJU6PV<
z78HD(tLqE+ErRBI5xc9R6!H4SZMD3D)jhrJv#Z~U!MWMoC`3XTSueggJK3mWs`jOR
zdAkG-?(04CwNnMs90KKGyi{~?e>3b|kOFKAHg341iprjz;dDMV&<6Hk?S^%z|9S7I
zZju`61Vm2eZ&Ak?v1H}+&$6)e{_@#-uLjDky*;bCG;mt|rtxPbd4%(qrMoz5A>CwB
z?LnaydOQQSb;T=yRh06S<0=j633Y6*Mrr7<z0q`hKoPfo$D58H*2d!^AC@VK4({*H
z3@CF{MtxGT<&_OO_?aj5n)8Y-3iSCsW}m5mDxCi|ab5>s6Hybbp^qr%M@ItXRpBH#
zkZ62N7iZu2Yzmn)z_HIpXBy*I`@zZuy>B0NQIW!M)#<$vMt(5&+^tpv_rDP{p<lX)
z|5QBZ|G@;yf?GA?zpG;)abUdhl`bUa=R*p=n_<JC)<6F~4RG058$Pksh3*S#u>70_
zMz_x$xsj!bk-7jai#Q#q%TP91#sVzQR^mNmwNQVXyDr6F8{Hp_?jy(&B9mLoi`}(Q
zTrP0@0~-xlZ@=-Enpq)3YFysdS_`H1^7~@@)Zy73?eKlV3YmL4x2^PQLQJ4S=enmV
zs&^^2NJm>kBvzbaN!5g7=y=8Nd?ok}TstcN-Wp~7*Fs0sHIUY~CE((u9OUg~n2xa9
z;GNaglLHfKU=9Dw+LtAT>a@!&7JN3aXUYCACYp-pQjLy_ZNkuO5AV;Jwnp98bdiMj
z6f_y@S-r7Yi(Q{`cC0VAhVPx}1#cl0Xs`qhdU&#6ZBxDdVIOO#9LA6*l)xYS)vJv8
z5Ai^(=fr=1t#IM@G8+69;8c|rw3F;67WAo{amTFiJd>-S_^ceflg{x}m3GmcdAftm
zSgerc|6tG1k#&e`@+}Ay{YC%w!gFXY$r9=Pwm*(BN`dK3H_>`~j-EHD@}PSeSX>vY
zWcgGKZj0T=Z&8-$R(%gxHR6FW+lo@YOkwQb{^-n&L<X`pPwUC@A^~~2Sb$cg0JepD
zdp)2tlDZR@Dd*V<yh|!AN*Cn=Q<AA~aTF8T^!(jbZb=Jx4hiUz?pz=^_TH1KV<P*r
zGm85S%`t4e$a`#t4VAKMGtR$dBAGd_Pc82<gXL@K&-a#?P~^4rjO7{=892keB6{8w
zwu@tiRiBoL=+0Mc?lw$hg2T68Pisx!*5_*XIQB0Qz|=5P(#uFvTU-mbu$UmCE{|n<
z;}l`oRN^EZ&PX0t_{QL~(HPaLPvveN`ayIu7BMZcFp>&deBoZ#jS%X{lYSz6kXZL}
zZrAxc4CG*?m2}61Ax=bOiq>>?61o>n4ehrukeoUEGMhITuI51ZCKt))#1J_WU?;#p
zUUN?uJ(OpFqU>XyA>7aC*V!cg2zIQ{Usg50pX4z>{Kq}9ZS*$!qo&?7$4XY{_B(T2
z<6>4hn=9qELH;w{%DugVy>5lh`x+U2!+Ow&5%lS78l>NxxO;esoq^<zYS{P9Qx9Y0
zTisI1Fg@6|u0hD2fh--9aNgUg3)`xo-xWqb=>ETg{kZNkkog-+kJ)a~g$_l6-(u|~
zeY8=J`>H%6xi;b8=D>Cx<e%SZlDhjheViraT+~ZOQtRv1lTX}qAaOsMd66<rzk0<l
z^jIVl`T4%LuHt|;!Y37zMSsrFefRUmK6hd!rA~f6TeM#rLSJll<~;dB52Iaq;%v`C
zUf0{hzl}i~N}gL9r;h!lM{K^hrX-M+3^J@36a9~d&+6RrB3=u0*8#?Z=kwUe<vj@p
z*U)GvR_zM@<g`eyI8uAGn~#H3scKz3dQ%Ik5_N3jZp(Da9!s(-hm&01SXlFLKoefg
zFH(OJ3}mJW!zZcTT;z|jGrp5rn)t8r)gjqHMl$Emc*N-qJfwGlWX8i)UrE1}D(jiE
z`Zvbu8Jqprk}T$PQK6&i$QXN`7(2sE_86rY#rE)#nEg`r&P5$<J|ZdyeObv)(fS(Y
zbpqsUC8o2Q)ez!$b<c*MY~&8#y6gJK1j!$g8*^K?s3Gysc4fsI9OS}QzsOcrVY22)
zrpT$UR4DlQusejVAxlRbiu4Ob$Q8{RNBQGa?1)K7mk!`2`PmfTKa3V5W&As4to5lN
z4@EY}oZ%(o)RKB)gC)pVtl0GYRYiaqyV}$~KC)%3<LH}{Qlz!L<YQ`^DxyAyHlBXO
zPs-IqUrKC|Ay*#1RqZ8Jv2==dTY*=QT$H(f@n()JNkn50d!s6DZ&1xYd0L1pX*v|J
zFeOJaFrSGqoL0py;~NGZa;y8<Y>15XR3QI~ms!M_Q^C1|<BCX+C@Cf|^!jFxBFT^%
z9~WFiMVK@hG+HW7mb|g9vkp@xD?TQANN!Za5L-&u<zh+F@!#uM2T=+c<u~3Sx9X8;
z%K5=)mL?BxRy5r8PL(Y8q39lz(LhDtD;5fyEIFQ*eeq$M8o4{}S%9I>YF-OF&0o-$
zBMYmF_vd+NkgekV(iexdaM}J~?XC!UlGvR4u2@Ekw9gRYO#ehfSp61*ZIue7B#XVp
z?;sk<Q<dnvdrTW<Uj<4m_>@SO{*SVW2HK?OaztOLoGwnP+$rqcqfF8t^jx%<&?Zwh
zE%^ON(t~(X#okv{Dx~=dGtbZyI;60#aq?qM11RiDDzN5NC9n9taJ)aOLsDW&h0~uJ
zVlXbrEX|2ZZhOKc6RoF9)*9dB$vkR|s^8jz-BD`fri=6z9%EgSvt+JO(90BG>xo0D
z@#^GJ#VARgMIEx}(^zZ526GII?hO3vu0bZBpIK{mScmj;-E6p|LE!lt!>YU$4bp3b
znP<63oBYtpevK&+IAH2vwkb%HJYK>u6Ov6M2R&k`mTs1yh=xVFUDPC-bVSbH&(|a=
zRdtsng{@%Vo!WYPpC%c@bWlX7SdHx4Cb3<#)Cx0CYWT;PG|89MzSF$>DWvzuQ}IXD
zt+77s^!$Re201x?eVod!M0!aTDz+wAL+91azRaEKWQ~*fw&OSCNEWUBS6%tm*w1ro
zx1NR?nclm^b^Njvsok0TA+>mwYfn}xWSUgTyty;IZf+u^@4G_D(#zI(I`+AB#hOAI
z^jTRu<@1qt-<H-Xcv_?NQ;hFImNNM`vn{vGhMl}Bs4cmR%NnfTw|-w9QzX~iNM(^W
zUZTrn3=MtDx5DwgmZc_I3gqmQB(3bw33|`t+iv}<9!(cX$bA$kN4hKAjCNyuLl4|k
zknrZUB~s&J*Zw`bjvTpUzF(EIhxmE5=!xS-OSszwFduZ3A~~OOC!~b`AkO)pf4=n{
z&|KbpTG&9Gbe8Te5M4V>Y}@YCzPJtW*qV1@-)0d~Ou<h;r1KAP>z>BNw5P;sPpv4u
zep8SPEDpZ4&v~Bc&7#eEzqNqabfka5I({;UWvJp--2xHx#YO+rkU2I#6ZGIL;UVv!
zI^XQTKVmv<#rqPwIplBII|W|kBnw>&9$z{3k66Qb+2WRt8LW+NJ00&}B|Y4da%U9(
z5&QPX-98^+3a{;UB`k-T$a$hA)gpF*XmCE+z@Ke`+vi==#ip0(&LORB^qhG@sO18C
z{eUq7lR4TQZ_d*{m@C_?DgI0FIZNxWry4_xL+`!Hml^u=>^$4HCv!yW=3n75hmBy8
zJ0i&c@E3i}ZkkvH`G?r`l;Zlc*$^{=vi$y&qx4tp<)z%cvxL|@&uce|A>t!sM-TXZ
zrLP?L?@cKGED<AH%gTOw)kAYCvLtjq(K*)YWpDSJA#&`P`X7($W9Rqxdo^ZT>G!rQ
zDqa6DP5itbA|mRlkBU3d*L;%b^h{>umo59Ii7SCWQ<rM=zz`pL)YmbD2oqG4$f8aY
zFZuGrbPe>NuXrrhqq~x@_qpM~$2(1I`n|w+zEBrVYj0-zurv{cQm&&_V$(!tuqK9-
zb+Ogua*O>!2Vv!O_6pC&X(Cv{Dnc|@2Wz=3`rgNO6V_)^y*K7g6V4sCX`CuLsD3GA
z=9AM$<PRpdwyVq#2hxfEvI@0P_<daL{Hp=t;PPm%e8&t?JA8?;R$m*>Xs#|7B!`Fy
z4-Td2`?JLS{qPUI)iikOYghN}{Z7aoS8}&m_2d12ulR;+rQw`NfX-OS2r*r0*|o2I
zj&MmHD9>utLNwdAJ4sAG2(`uw`l@R4gv^#}zt_xb!gujo-jde@(euX8=w|5xu^c^W
z#i^l*eMxd2ULBLfQNEosKKmC5<59_&v^^SlH}i4CQ0F(%s5j?)dG|8$Z{!r^UY<I3
zwdb!3J3mESpWw_Jwr0T05$zhsUuqCsT5;E0nI@QCO5B%=X2i>XzWvuM)ZlWr{nM_q
zvqbg}g@PT8OpvWg8O*y(g_8TaBTNQ!gsNe#t)(>!&M<G8&YM)l<?EvX4$Sj}!Jppd
z-T_wp-rXAdeyb|p2~w_IpIacJ-dTm7d%%t)Bhl*kN(#((roX)+x<pKVemKmU!--(4
zn@j983eJyc{?^{RLPSW2)%v{ULR2!>ubBrb@DJ|1vU83BH`aRW5To#7vG1<NH%%27
zXKo1%b!UR3URO4w4<CZe_!e)yRL1%6+?MS<%(zkIpQq8n58C4#7hxA=7{%rXdnU4i
zHNquf$8JGXm~~Ua=ao<(m@~xa#11=7wxLKNVLW&8Ul1-(LTRgMKbsvVN>2m^rcH~$
z`EeLmd598JRD-(x!?^H4^Yr4oWieF8Z<X{gSAt7p&%&lg9^^l`6|u=!5{s(JZ-V8O
zP&<BWGF6KY`?(}5xb8_qE`xo~TWKYPojyJB<SIXkuMIVQRgi_7j{^T^9VPq{ie`70
z6@;ykqL|+$Iamj<i)05V!Oqy=?DIw;2&BET-yp647v-nT&z~!yN;<oH>4pfrr<ih^
zs}ylB>TT~SLuE8by?w-SSqwzQqp!h<%24|8Nk@KA8G8>l>iCpMfX_EJ^x{qmruG>=
z_IsrQZUfuCf2*F$b%2%P<V*#_`g;l=K2z{-y-Mp+=sKLgTYvVSt2*%Em-z)VDy)k8
zQ!AL|U}sk_N(N~{v_`IHctj01vlQ}X{p9g9mO6cfpn<vJrMvi;1{QV&WeC1kfYH%-
zZNK%}7~=E&_f~-hi?Tz7joXyK5j)2nV4(w@sP>ffWNp-0e>f2LNf|R?SqZGGTtBF;
zFEcN!3&{(2Ll*)l2&QD}OAqQID525#SdSipX}|pr{7{9CgZBFEk$P|`yR5;|Vt^x$
zxQ_e!s$s*_s7iaY9=Mo{MW;uNaJ^&sQWISr6B3q}Y`*AW|4<~?cLh^O<vYrx%xOS0
z!0EMamL5j$|KW|;XO8IM``P1*nz%MPACt_chi9$|;TN9}*gfe{oLZxW-wLLat4aiW
zsk03BQ-FQ&{$1L#G@RA#6dHe{4TFAd)gRNAXwcZv=&VnJ_iplgv=$9rdkQ+nI<1f#
zJ~kRELxb07%*OpC>frtULio`+YrIdEe0c7u7R2>+;!l=PAgl=v8(|yt%*K6>{HTe$
zW|ALx&MD&C!BU?eAvP#~8XWGCuYoul$%79=WMTZt$<sE~23>7BeS7uQ!At|SbxI5)
zx|geGPTRmHYph_yX)0>w<c*F!;D_m5%3zPX4eT})H!?n=;4eGXu+@bP!H@J@3^;6%
zsvfap__;Fb^L2MH>ii+tn8#^PZdoHcYrR}vnIiIjFs6A{HW1-$XYz^^tl`>T&YMvz
zk1b}GlI}8(&|Byd+wNsrp?c(gfZZcm9B|+t6P5c*Pv582GS6>?Ga~}m4<3_7kjlTt
z#1aNlnkHb`e%ul~`bkGe+Qjj>>3(0nBn$bud-#O@Jm8S5TS#*kL4(S-WUnMPGS0@v
zN%H{E@Rd18OHvSO$KELji*S%~hpKZIJ`wouS;(D9X+F3xggo?S=Onpmwb-xpTfoVR
z(_?$}8t{Li<*$wBB>y71CFhqpj@>DlIQNDX{{sL3|Njh^cRbZ!9L8nuz4sp1<=$(r
z+>en^BuzwvXq$;j$S70@C8K1dL?J8WdqUZJ{E)pvvSt7L`+1!|&g=7>^E~e--f7rk
zJ)Qx{g(*kSFdu}h?K?h6CI?_Oo$i^=9R|c~&wb{IiXKdMEFCs>-z2w)jncO(Ga$CO
z`zuYCbYaeUuCyPwO!m%<`ABM~M<uToZgnQ<08Z?AiG<Z}vdMT;!HO$Aie&gZn?9rs
zpa1^Am7e`Yc3ILs@sNui{ffv^jKXO{yi1ggf@~>SHE|>*?FSvg)@*v#?`y#lZqfd!
zaxEr!>CF<|Q#zD#%J#(ZZcUiVFuTvw){n*Ie%vg&MTaD~51YtpXu>;Ow#w-81cr{R
zrn~RYd*59j=StE5$<LW%iA{4@djp>_RU{p%(ozVlqtgI&9I5d~*dnGCd1ETLoeov}
zH26*Hs}7x}6W?>)R<Lug-WSH|(4%iL%s&$TszKJQ&9QUx>)3FbGeb}<J$lOcOzGlv
zHBesBk9bwSfh`Hx40-!8plbOi5r%WBU@<SEWu>)^oj7B+6mH9i4hW<*sCcM?HGSby
zY{o9unkbVqet`+ijmypwcU0i^rL1Sep%h4zmN@w%ni=_i{yAXsbboHq`}Ifp0W=-5
zBA+nNg8mMe)`v-|zzdx+ji`T=C?=FroWhq4NnU%9B>0U4#q`u8!ur(6oWZ!#<rO>9
ze8)E{YfplZ%2cvoG!4pZiW+B$<UrSM4iRT4NzgyKoyfULi%|Sb<*V16C?PG!=JO{a
zc*^<CdflW)59aRZS=Mo(;HOP#?H7oUd(qD-X@>zN|MM6KVdp_AwU*sg0z?R{f3(>3
zo(Y{X&Z^G7&5M{r>t1ja5J2MG^<F0r7Sx-`GNrl6hrV94dJ$kufO|ZD9tPR7A&Rx<
z60hC}pu=XD&Y4dtLndOh%qwC?Q73O*Cb$S8?}t^cQi;mo_}^LW=j|M5QtPRVinR#x
z(VP{ay{rs78Zyc=R9xtilMchni(=?w>X5p&i87oTMCtgW+-RB9eEDC!IJ#@8=5X3T
z8RlvmO!KmNkYE`LN7}jsDj+$0v$Ro$Jg{GUC(DPfz9-bWYDggi_a>j4(aLak=D`cf
zGJcd_rI;QPDvd_;o2^g(*}qTGX!g}>g6QqB!)LBf%Ao4Ni}|~51dyTm<-n&djKVv4
zHwRD1p)KBHPRH1Zz`4$3P%bEnzOe+=eQ1zJ!95v_M+1m({>*>|o<$r@^zxLuo8ge<
zlNWrMj3n@~v(=&(kU$-5x7451D57ir7tHVEkw7r1hS#4UiKyH7M!WTuP)I|K<#TTp
z*ek5w^tY5k2@P!jCBIWf!od<fc6O@JGa~rO*i#w};;B^QR|x1<_V3NG3u+)}vg3O&
zK?c1w_7)F%Mnp`pXPys-sDs8)-AO7;7STC<cYMG=LYtd)lT&pX5c;Sn=xo0n3R{$z
z^K>Gi_}Q|$3<WJn8FxBCoRdd8nODOy;z?+iqw$$ziZ;AvHW2TgQb5De0r7)xNXX8J
zWB#d}E*$fiT9>TFp*nfH>-4ut=pD=JU*$!5@Gn?1xj94;CH$wVS;I|2iZ2+0{u=4S
z<^j?3T>^OYy0+{i;{zh9jz76XSxtsfu@6t?{P1X0;G5x+69HM)em|TW2cS8%^l~#B
zk4kFJ%xd3MLTA=n8?I>@z}aTL#o#nNnq|$j43SbqW{+gQ>Qx%R2dcJK>I-;e)C5+v
ziSp=cf$&>UF$Cuejbz?2MYNKzy~H#lgZeiLZ~qN81oF?hXkUUN@(C;;D9TGAy5{&b
z)31gwP>r3P+}DrN>Q(=V8{(*<_hWoZiy?SOm;Wx*Qb1SRMLX4A2%&k-dwh2FhOi-3
zVdhRHk3#t#pBl>IMTz_-2OB>cLa4^H)A4*+q_N}YTu<OcUW;`pxpxeKAn-OES;!!Y
zeDC4itISB$zsY@qWC+W*_0oS2NFmeFrzfd{Y0w_Les*Zk0GM1VpV(iML=^}AaTCt%
zVTrhGuWJDY;J+8@)4m~&V(E@^-Ys3l4%bjtJQOkjqX6dKO(`+dE%-j!d1Dq+i=+9Y
zmk;n9XVgvODvYY)Y7lSz5XQfi&{}B%Af}&MxbjN?sT4BBoKSDTf^(lm2Nsf{K3ZCD
z*Od<id{I5e;v0w^PQINuJ*W?XfnK6<$~@@4+}zVQ&WN1Jx?6USNgwzN{K7K?xKMW8
z+tKivdNQl+$t`ESgAmg|?(QOSAWApt%7>R*$Y0_LM;$%%fMd_cCE^b&iskQQr*dr}
z-(HQq{$GwR=qyuKMmIB|=9aVNCnp=o&+lqv%*^XR3Xhe%CKUtf)>}7zkoJT8X|q-2
zwYm<dwlNlnJ)%V?*Y$2Ie=a4L$o-1x3DkykiQyM6r>K#5lt4;MXcC!K;KWDw4lNiL
z|MY9*3MHa8mhBs(&cWX1-E-B(X+ib4Lymbl1?m(fh@Gjc#1>p6?RP>n!6O!@I1syw
zNj>w%q1tBb$#zJ5#H0qi`Ap#*CA^Jwww~Io2<yU<+A}%}j%dL18Co))b`ullQ_4vG
z`3p03qd8?!s1Dcu(+%%1{f7zeF3-GS7{LM-?QN8#)FJ9*)Yhf`HLU%dzgV2cIHtGZ
zphSvOgC|8F=<a`A#oqOt)aAN9g;9HD&}cKM0gp>!YFO_IcJs`{+Sd;=n29>~Px%m4
z@DOTYMH(ynIq3K*YV8k(G8C()C{^KArk{d9<1$8YI#0OtaRHN&(}=zhtO6ZTwkIv)
zma!EBcf9VEC2Ytds3U+u1zf5dCt9B^W6Q>~r;ezvV8bJ;D%#IUpnqDd?|b1g<{USk
zaG7@v>$`Z>&QFvCHUlhYf77jCS#E@t&usrNZnZdG<Ne$*r?B?@6tsd>OD$)-k=evN
zr#c@zG9beHysVFG@~hZPp7zYYbKBTUk-_-zTms0_-=0cbS;floWp1{W?qUkle;(|P
zD}zjK^u&$dYuJ>ka=3Xa1#&AfvA!d|@ADFbTatADup*zlBeWEh$l&pJBD13sOy6>7
z9JJiPp0O5{=KE5if%S!R!`XPaFLcD&xN;NY&n~`}%t?bD<rW*s>?%TdRKYDT$8BtM
zhX4ApW?Izvd~r_rj3S&AqJG7yzOVbS{*mZhdNk-gJS|*;gX-m{-TWdHNKy?<Jiala
z&#~ey(GoZy6!$vm>mER2U22_&HuiI$iQR=NRsk$enS{~bp+xiNwF^I9VMA2RX|V$A
z3h*SQzND_53Ozk~GQotN0}XJP$fdrJhd%k@P2S@)h!|-W&2o<uy&6}~dMPgtH<E7(
z)UME?#N*Owj%?hB_@VEVLX8}7__+ODL-gpXSC58pEe{%?5Fl53%E5@Zh{a9`BZ^mT
zdM)&x5Ahd0?Gqu&0bwPn(QTL+jZ@lvG0hi1Q9E<L$h)#28ZGoyNS6)$lAw_B`7MMV
z%<f%`8<quA%?leolkCW!x#!C<D^ZkU`dE9TR~F!EnHGfwC$jx2_cYQ=98GEc_p|zs
zEa)56_u)FY&~b}J=I%ZTq_<tuGAJeo#Y$hFEZpTmF)kmR?$}A8phlO8S}!>;$Q3;*
zWx|JOPU%P5uSp|)&F8@%7UiI#`<%43h5&jWfBsfhmMlsy*^{+Ol7}4mmu6{4g-}wc
z!tdMO@`zQ0(S>kN0SZR4`P0Kh(5of09skofRIv4!)ie$V#iw6mEPupM$A9zeJ%{jU
z#S{N%cTo}KE)FeM=t!U;8<j(T2bEFZMc(oDcqI^UoSET>l0-3A2BY@`h)9*nhh;g6
z0CH{bBve+UkkbIKdmJkX{dwFUeQbdUN$T=$<&H9F>B!YDvnwQ&&MoMrWTFBlwY5}?
zeX?jOvr~7aN(GfE-}76mR|RQ$&ML;^@@UO-Q1yhnDoQG82}<-+hp%Sdi^T5==yLJ}
z<LX6Kl*4h^Ex=Y2ZbY!h`$#CF>A+sLAKGeYfHlu$(N-J6Gxf{jT<~a8*^A?`z8d;e
z`|I6LFI{MIKNV;FSP6B1GvAh4S4F2)H*@V04uT^bp_lYgM$P>H6%N^}B3!XO$95?h
zlv)=4jVKaOq>9-yXLl7eTWP;JHv+(%xpA=K6#*sR`?Ha%PC{?e14XJ^4S;LW{=Gmc
z0hzHnxl>#rpkqO5*QQboK?2IxZ66a*Y}Alr=c*#=V)Xf0V{Qb+Rq8EwsR+n^o9`2!
zwmhn2(`6>s89};K#ScwoWmMI#uKdqN8s%!y%Tx&%gNNM4(Fs;1bg<BD!9GA7W&ZR0
z!FkXaPT0HY4SZ5WQCo|x>L~(9{FxrlF%4sAuPG?W7QmtH8^^8)HF6?moQ8TPqcPm$
z-cu7hCyy9UTm*Al2ITK%CJ~5?z*l|K^GJ{^YOGr1(Ym&SJ)+5X%yTe;thC>~SfVtd
zuMqKG8koc)F1DMt&l<veyOs09xss^Wckzq(i+Zv#r5k1AO+zS^xmSI^Q5@yp42%WE
zd2(V|Jxla&1L#b4rPKN&g6h1>)m#<-k%gmKSLqxLU~ZZyFul*2-7m!CZY=JSZ?25n
z@D2bZS_`pJ3-O`H_S$b_#|{96&_4%c1F)WxC*?}Tjkxdls!9e^!Ti;`t*HfMXr5wU
zzAVRq7<hZMje@BGU%z>Y8PkWC8<)Ii*;vq5fp-^{>1kl1xhmSZ;~>xyzqbsT(xc{r
zt%em64V-%SYN>uv5B@~_-Fvr6g*1llnJ)^^0HFpAtqJHskWRvBYjz6sc=0sHP&YLc
zYSk>bAJGNw{?J83sSPal<K^T>cd3C~UUU6Jhz|G;8Xlz_Tf&k$CNBtbQA1h3bPr{%
zHq?)WtYFDASZ`8+-M5caP;%>0^Av|R9OckDMfy05NtIE2=dz%Jle-TG8!u@AntOL`
zn%IJsy*BAA+MxtF?Hxw-Qcbv^#_3}y=tl0?-O7DaNeM?XmFT|kX~LUBQd^0Wjb!B`
zg~W$%C_ynJkNx*u4X{+T_QrI7k-vrVtO&fMgs%oqs2-20!xa84OWu_+GR+9n>a~xQ
zAo=$Ym*sJFaG1_lU;HvnesQo}etm!v_O4mD(p0O#^y4nphcEw-#U|bJX9!eqj7D_#
zp{^QOetY-k3-==V()U$nNTmWshf}5*#j3FVc;0qdf0;bAa>ji?of`hFHKm-;QiaM^
zarT}Qt7IABkhtvG{dvvVNWX6?VBTSGPknBkJb}fR=2X)F{Pgt~JgfpU4xz>O&u@_5
z2P*f`R?@<g%W?S%T_o`7_v)><yhToWT%F7|K?e^#L%s4{NU%%Iy47=ghb*9<l4(m|
zfID;?&#QNdz~m)kAMj$2oN{0{x;&K;?lBf|_$Cmch;Q!-*AxZ3)Et_$GGGSUkRQZl
zo&EE&zx^I@P=abp8o`f+6|9`8tf~+Jv<+7SKkw_rX?m7vgPI*u?KyoZcnNT}cKB!f
zYii)MDAwo_=78Jwy@yo2l_93W=(sf<EfiQA3@#tz1nYPMZ>~`#xVrO4d^wyB254HR
zc~ZE*OTp%BfUOcl=85sX!81UG5WgWG8xIVg@@@zn#)G5A2tNETBjBhlPfWe$g&H`-
zcjY!7o^yETZFDn(s}ZO3gX8>gNwE9HTR}Xysy3|{PO?HJyPiOcydZ?EE8<q$6oGy8
ztA}G0J5)UC7|53uhAN+sBOb|$-~t!MSE@Mxzpbg?dQ=qLPxOTN`zr#?sSx%cPA;e+
zZdd48io>~wR{djl6@glmyD9rFH_-Z*Y(m7o+bywswmesa_Y}NVtGhfvC19fyJRk}A
zj@h20^@`B-CO9lVg%5tJQ3NL#OM~k0d@)fD4;r{Jm9+~3;GA{H$qSQ#7`H3hu+JwB
zTx-Q{AOy2aWlsr5<v`ZpYVw|g66j7B5iQ6f!0UhY@$i&9tP9uN&ofpAr(nhr8hbI|
zmFVv~{R{`QI#kxRmk40Jw-U?WC=OkwMLC1ocz9&%ta;`<5n96cTBOz`z%_nDlx9o`
z<d>F{OO;7L$uS(4uOtPL-eKl00R$Mw1be?os6gS3x96#EN<&Yz$-5&#MEF{uyjr2H
z3iK}qWpCukz)xn8eoi$KoZP@Z+T2kC*;kP<T5GcKqrXaKp`HZGH|68fdevd!(%y$m
zb$PhXV&U+StO5_*<zdTS6Iwru=+0eH0NmSiXM4j`z`Nj7U;3UFRD4R0Kk^s{Z~1*r
zdcIWw7K$qk5yd(nn6tre6QKy^x(@_m{Z$}Wh$mO|z8)wArrTOy#Y51Q^C9M9Dqykq
z^TC{fK2Sd^sZ9`2f}hT}U7a70z^t6Z{md2_co%FoEMt{GCq3R)`1O8o&pb0B+63Sq
zXCyt^t_1Oa@Yf1y3D6`R5PkBo0dV9Ef6s4Kg1$tvJm;Hum{w=fWl=B$$*^3Fzz8J}
z&0_hR_(%aR4t!iZlVu1|8p|&Wsg$5hA)9f;O%`HuOmS2UM!@vW9Ioi$L2vric(92S
z+?XDG_@9vxr1m=f!09SN&lYKFM_L@r?iG2&*ck!!!5q(5bU5hP8%QM`5d`8fRkdtu
zBal3~Mfo#J9vU-8;mKES$Qg-#KZZBj=Wvg*DCK?bbN%+Q%83nnEzQm9<_+PQW4SO*
zvJBKNn?CY-MhjWpBDQ+ThERS{fVW{!3dC1J`pH{6<hy+I?<fu$!qF<Btm5;MK>T=z
z`Gwsg*~ZR1#kJi4zA`5s39J?eB7bv7txG@Ic8k`*^r8VgCI1Okx+)5->TLrJ|2|_q
zA|@t@a{w<r^xWjG3BhT>2R)fJ{n#&t1+@n6{T>=wkBg7thsjjGWvjp`Ot0zmWYPfu
zX_=1u%`-e8mk^cwcJL2IlY78CNtg^1pFbNjcyhtxkqHU0odqmYdfV{4u0Al{KS5Qe
z!~uc-Zk#+JwS?`Gl-KWFI0&VLWxTNlD~MKU|1^qS!X#m4-t~zdv@vu|aeFa>l?j`l
z^t~mlgOPUrBBl!*pF&@fIp{z#LALGC_9E7MD^ZHPp#zV;w({4}Q$t<N>4S;tix{V|
zyh@w44)krUV3Q{gKpy*vN*D41)_>%UaC3k*%v9`lWDM?*(`Q`p3pVpuefq7#V@+CM
z(QSHIB5i{#`QM^fk>DIA_Tlg6a&ax_60gXFnN>3VYOITR&u`3ULgXxiuO<*%!nZ9m
zm&lc(4L=X3O<@I8%SC?O8c=^?^Q}hGU-DlTlP|uHCorXU+tyAk4d`P2f-`tGLncOk
zid2Xi!?54%uB~s>K{3UTTK~)>IeLbWjIa@GN2{eri%A{AdAPSuB#x4AQPdu=5FEy`
z9FFMp-&KQL+J7bmXpkIS_-IeoZ~*JvII!|`UKPx<{|3ER>?P;=5<juN@5Ao6RgTCw
ztHNs);+=Y%PO`gKukRVB9!$O4Fx!7b1=el*cD;zLWZQsU^J>p-jO9fs{_X`8puNON
z*+8fxfAQtcw`%Xicr+>|)<#Jn>h{r<Zmp7Bmncl}{9XsP`7AZM_X-L4&&>2C2$zu!
zWXc&RueW2VygSu&OGKEj|8(i{=RC4ogi*0(QXBS-b}#kHgZ*5)Tb{7fnM&SrIJeBs
z)P{9M3cnp^A;L48#fa|z0?2u?ZPaaFTCpv@rBC%hfb!D^l;b`}W8;keQ|d9TSgl`V
zan^NZxcO_cb2T*`6RQqr3Vqj#onO~6gCr&3EYEkFa{G)$bWX-3&$eP`<!GlI+ws6p
zr~T+YR)9VHWtA~^p$(J1+VS`=3m$Z~ebWa5zhbXwGW{RYv}0L^dmmO<D#8;%En5cu
z3e3iUt%s?%9U~eGdga98pv~5(hV|%otS<APT-UD-%$FfiCt*kdR+T1N@ex%RSf!aX
zvUXvjT!C|r1O*Vj**ad`{sXh6=zRWgf6qS6aa}V(@{o7`Y(jxzEhh5Ag^$SGgDu}!
z^kE;6gS+<Er60Vm$BcQ8QkMMc#q_LNUli-eLG4hHjE8Cy#`#UM_|wEM%=AW^Ms<=b
z48P17>|ScY%p2;;FDegWCtP@og{WjfnqoOC)T0d>7}pwdvmeG1+c$^PZ^}Tpx<-U8
zLkITiRqC}zwIdjHgAKK5zclE`TzKkI*@>n0C}noojbUp{>4JYPrNM*gyslenH|D$g
zE($L+fyI0|zZ~*I3Iy`+WQKq0!ERm}mz`yt!a`a&Z)}pKfX>tTq{>_$CS6{IUnBg+
zoVfXl^eQBw+3Z`h?Zp9%dao<4C2|%M4!fB{21&@9?nyRa9L54|_bStf^O(P?qw&TM
z33!;86LmRs1k)}VJCpNd0qbQhr*}Li0ZHp>r>Paju<6n3ue#)yus(NE?cIKHnB*+A
zb6Xq75-2*g`4^Y5wC7jsjBbj<nDF3rx8+GJzQMh3{~u%Fg1D3)2gHFA)O#&teq#nZ
zJtpr2{$Vv!7Iso<Vo)t}_s>}LEOy0LrA;ej6FX_cof2?E6dv?FD9a_!W7KpX=c843
zuy7gq;@{aKP`1umyqvIrS^EhEQ}R-vUMgaD#i}q&$J25f>Mvo({u{|XTXp~yc}N)h
z9~OoN9bJsbx`GY4Rk)fzqe20#m&ICBg+Pq!S#>7c8g^L3E2AZb231H3<pk63`?B#t
z4PMiK*y$TIm6zJ+(6;yA(D%NA@W*wB-T&JrruB1eh{1vpX~sTdd9p45_7!a5q24=~
z+YD!o0}Bh1DcO425hMT}eS;<BgA^!LUD>OinH|YkPtS&l3qW~zI#>Dh0hCNdNnKIS
zfdoTlUTd`SL(QV2vQ#A%3bN`Ot4QEND<#658*%&)`0cNmX)_I)ug|MD`^bad9y9v!
z{x(0<=~<6o<)lY{dh?t4m-$fT#+Pqfp8OE>DDF8amJtcxbr<BgBZ#WB+cLhq;0HS=
zYUj^3EQoV6?U#(+eh<6*lDU1HAC$aPT{G3#(U`d&`Gu4?63a@-?{F3X+NGmTBjX&X
zabzOivRMK}ww&5rlobT=tUKf-#DzLND$0aYq|gm52jwdyAs7w2Eo9KhgSJJq(o7R%
zPzr8at|V3%*w3h(Wn$z<*V((o2;byTTtHXG<V8^swfWvb@)JZf!b@!3bU1{QK_SOa
zi$k~YcJ{KI2)dp4>6GIgJQ~&eMV-F?KBdA526Z&z$fal3&x@9TG>$7dTSQ0!f6EV@
z`4|a=&n)xDcN5Wz3vUyj7sx=?U|ZeMgHnj+;vqU=WfinniSydCl!s=mw~4p*_WSJV
zEg7MQs>sUWOTtwbMVKo!O%d;wMbzvp&F6orA^W|8%DeOgu&q{o!(1khzVI}B<(*SU
z^smpG*d~#{H|>0oT?P(W`5%*v7|}pRJmu9}TdJ^^WIgX0hDU)v+}m27YoZ!ObFK5Q
zH2{2z75<)8MyHwk$~b2=QP$M=!(~3&AQ|Ps=YD{QG?Q%>KXq%OAY8D$rLP{ehA~%|
zmlBcG=}nRGLz*Zq)iX!?5gD%evPYh?Affs8;jvzV26Eul>8dd>0993s#Na#<n*ANG
zay(8AWvuP0Ol24XEnDNL;1CG~WG%?+KU6`XN_5X#2aUj!I#71Fm4rsbY}1lhh^UeA
z4L)<g7-XB{Zk7a-5T)vX!>vy^6u|RYZSLhEkW{Ukrrjo@AwEOgWjYx|w`JBeN^b(0
z&G&d>b%_W7RY0o0vc0LOhD6bnglOk1$po6VLQ`m7D5ICwmHB~|+=y;25Ni}Lf!)Tc
zut^s@@;fPfUfQ1q=~tPm$u=B<rbw{`DoPw$@bv7J4H(0kKUKVsv_1rrt=3v;zH+GO
zB7KDg-x68PMk%zp+!)weJq$xerO~CN_O@_yYJd-MjdyvBVbnVX-)SL<Jl=N8v9q#(
z3w=5p$=L|xUS}ps$B3aDxs=yCTRGq$)3)c~B15=rr>Or238L`BJr@otbHlJeZ^js-
zAz*(smWgV-=v(Ddp<@FNq|k6OnY$Q(VNp@-%QX%(Q=WV%yp0!hWfxBw?{l&_Z&;zV
zAT#QqxIV9QnGZh84N5*f2>U!;neDwqjf`ST!Xh*H;Ja0%nuHq}+$`h_jV89SE{{!m
zt!zH<d3&>|!ABpwWA&tc<QB0*(b;3OPx+w2PxoPZ%t6?u(<{Rq`Y=(01w|G+KG>1S
zsAIwO;DSV0gFkZ(xx3#n{j4}2SafpPUD?ouE+^HPCuNglO4q*ir&GM(Li^N&XrK#|
z{qlJ7`Vv_oFm-^Ygcl@5J0h9mbYKUkfhX2(kZH}P!&P4L0yk?=UDvWUqzw54@XqX!
zT?Cba7{hpBDSU$A<vDE#K2TbbUP=jFpUbk&NAUt>lSyJkvle`{D2ulR8ej}$B*=W`
zh0+BdS|Kwn&`oLm&>KYum!3?|zMJF)(e<F<&IV1G->5mVQ^)}Ke~XkBX!1ej2b25P
zPHRHxGfu{q5+=wI{;#Yml@GdIDzAK+)&S;0!cfFp79g#4*we}LLw8u($)^uB;A@8`
zb<Q0&2v}*n8C1g${{sL3|Njh^c{r496vmN#AI38FeP-;&*q6D75+xLcP?l8I#3zI-
zr6f^NNwSto5haPJq-c{=NGeH`%9cIx&A;cm-t#`sbC%zIvyVs43#u7IevEs^La`|H
zQ?`0Zr;wo89T4sC(g;si-H<jtNI<UJ)wm2d8Hgzl=0_bcLgl9e*6Rbsa4Mr{=nzvD
z^J>!<UYQu7_>Ew9k%KtiKFCVVTPugu7?OJJ0v!+P@>{)VMC43q#GCAt2hV4z^rNkG
zlwFv1@l%$7h(*qh$^r#g`lu>B&7(u)Heu&RX-Tm86nYRx6*02OCuM0L9W%=s5t-6b
z2;Q%dT~@9H>w8g=_qNk9e13b4fvPmlZM*Kc+g};aoYf+4xY8l<WA(J083~<Q1^%IA
z6-WlR<sM<hzx8-$4sMmf{K4<9j!diIhSin>E37<4iIQbc(`E5HS=nWMyDA>WWSVxz
z(P7Hx_@%W)4u{T0y__yqLnYCu^l1qlMmCEVf_N1Wve}oqBS9UyA6$*Id+B(nP~Z2>
zLlI6nJ#>PH2Hf5Br=BSoK|yE#{r#Rwh~Vp(SY<#)wwZ$=XS5NbEfgC<_?5v~A0E}Y
zih@|8Mq1tnBRGBXzpvb^j5L8s{=63y%q;b#UEgGkGYVU0^rKV|`%T)9aD)nv?|t^N
zea2Yp(`4|KtO{*!r`_jtHF0l)@zjpJCYZjvyV;~q6(<ijUU6#H#6)=a#S2oV*yf?;
zFnmM}KORsxO%1e=WZ7rC?YSvPE4N+->Z)UR#SdyssunnOB)-;Xn8EkAzV`exb@1J8
zyp>j|g?q1-S7@&0Xg*ys(6Chl$}PE0`>V82F=1cYrfh+@^A;2L`ZO@y5ty}+m8Y?M
zi`kzk3vjYOEhO2K!Eg=sp_8>xz5bf-vldI7|Mg@@vX~6D-n6^51)A9X&E~S~aVs>j
zJy~8eK!(M}W$uNqR6KYcLOQ>}8WTeFFJ;^m#Ji|2bgWR2lv&zIWMd$j$M#<xfdY@>
zD`F+nWTZYE{;#x{0o{hDm6zEl=oB^|c5K(csK#l}aS5Qtdi<Nq8#0<hiE{lZ>S&by
z*pTiFY}>iyzBYr5m(g$4HK=OXKe0oVk^tNf%+c%CAfrgM^Jc&k6?g?b=vsRo5Wj!r
z@MHxmZ_>N_&3?+*LI_%UeI1}_<v&&=Y2c;E3GGo1CDfR=93j;Jw+5apdi|%4pj&&_
z=K9GardXBy;tF7JQTg$o`)V*>=u6)<C<9WVj@m#j>%XZTMFA_Ss7Y{Q&pIg$@p$LD
zq<z5T^-D%{V^!#JK1^zjmc+R;+K$ssfFH$ux^I^XT)19QJ#&Z<*S&WjM-iZqXZIJK
zRR%_@WCDJPVWKO3#ODnIc`ICR54S5JAnxBoLJ9$Uo^EIm@nN7_Y4+sNMMZGeEp+p`
zh{AhrG&b{-H5glCw0A}*AU6C{(t%20(9#1oj(A#w-+yQO`B^z+B+UukQWb*e-M?y6
zomM#0BIXrzLKY*A8*a}m3P2`kLyOfKE6A2>!Ur<&vHp8jTuT6Y%<Bi_>n)L9W-JuI
zOG5R(_N-Ue`0+uHvUpw75{m56ci;Yy!n?AyS|-u_h<xWK)N{cC{3iVQ$G=Hp<McDq
zKoTq7OO^8xvp`^K{=&b%5;(S{MUn8BAAZgw%ung&_{>Y)YONyy^KF0Z`>X{Jz1eQ%
zBfB~7{E51$97lwEKe<)$y8sy1$Y#$H&G1<6uz}rYaaaUd7Utg*gp%8*eQf_saj0vb
zjoNl`bUCs~chw8QX+w;ESCT1O{np-)ofiW&zWkj?pD?yt)#e}NHpS_wbsrC06$3Nx
z_GXHRC}yYJe+Qp5!NH@C^a~=zaA1j2Noo<rvwK3~ca=<FL%Cn`c#{~2%7-MQ(g@gi
zd!Fk~tuf|*lEmE|#ISlUn3vyE49*)z`6@OTqvWVKqhYfc^kvi@e76+GXo33v4?m57
zBb3bG7*;&9ymGYx5pKK_q50WHNc?*1?rfzPDzqbC{AVnIBJcHPR%S+M8=C51Ul4=9
zs`lq2j*{TntTUqWgO0r-LlZV0;*i@u+)Ij<f`!xetlA<vD%(z29(pbgM=#FTM{h_Y
zF8q1fP9Hjga^|lUZz95gSaYUwi3GDDx_*NS9W}8&oGHJF_|!sTeDjvY`=Ec{tR@Wc
zq&wuXRDlGhmz3K>JLS-15W|)I#1OU19Q@wfB$09se2(r4V9HYFJ<AP2Am3hNOP505
z+1+`oCl%4PqIYoX2}2}?@jbaKFO6;Ml<PiqD8YZFW|vo*Avi@Q`_IXcptH_Xw7XIn
zS?hbPj1C)uD)IDuiKYx>!hX&+<*FcA&cg9Ujv*e7aR}|&Ad6ke>s{hfRgtq}R!r!I
zA&PyUj;u?S!?%sW@)^-;7@40o9qBbhgi3lxP`f-7xY#vUg{nh=k2lRuj1Fd>q(i2H
zBG$DX*}FeL1MMmnS$y7f*ahYN%wQ^kS*sE7&x4E-n$w4wIy$Hc2YMG4lpxs|m&NNq
zfq>!I>Z__o*l*j$Yj;N(ul(xD4(U;0n=D$GUdpOtfOtVqj0zldOt_x&XhQfXVeFcr
zF{B=5zkY0{iaO^w&)OH7IId^;v%T9G>|xp0-z=&kEGHuAR;(7XYEuW~j+x-=3qH+=
zdNoAv6zX5*(uO@Tq|V*h6z`V}<Qw;>!zw0A^l7*@(jUFwk)dpc<f!|1vgI|v*DQ21
zy;2+5Yb1`yu9#uZpRY$wH*4Ti{)sb=P1+c<lID0kWDbFso7Q<alQHpPa6l?w8++xq
zCST~Vz&S#h%gz^MD3+f4&zh+Xt_NG+>aq4fmh<ZW{-aUgGd}8HU!#S<5L=;=0xNVM
zSFcGsK*7$3S6lslX~J#&p!Lu`Yk2TW-W0E*z~Jw?FLKjVB&YrwnP)OUa=*AlzfZxh
zgTl``UQ%$o!n0p@fq{-RL#?K23Wx<(Wwc~6<lRCt>5i;@{@>cquBjAwe)XWHiEH4V
z>t3pM7NElA@g|AR;>cm{B9W77*!FnA%k?3UmTX^iv7N=Q;|hdA4prFtItucB1D2WX
zdVfI1+24%1@x97$sJ1hpEdaKBQvOcG8u;vXpVzNb5$CQ+m6|UDyeafhjZt+(|0ebl
zKFA^BBLfT5fP7faAtx1e#I~6ko+HS>?!1Z4g-?LX(YFUX9o1NRrqdzsfD~d5LjBY|
zp!z@xM@yJ0(q@V>Pf{h&RKGG4cmjC!QoBd~s0xM-+g{_B5{L0i;r-QKK%tP<N?EBg
z23{6V_1P1^cy!_J3X2!_*@Q(OHYuS?h+~6xq6ltC?wC8-#6V$<)vv_{MVy{+P3QY1
z2sm`yY@#vX6jV<6&eBC58#x%}J^UDNdvm*|#2VYJ?e7-`$zkS%yybTzK2)c9mwyqo
z#<QlZ+_M9$`&@9{!&v6Q^ZW|A%xG491L-jd5hOH8Xx$Ul;K8V=VvprVOC)qP*PF{q
zqgl)^c4HYg1h!t(ms(>9w$*Pz8kEF)z4ohdq1=!sYn|n)vH<nSJ^Rkb61Z*YJl`72
zjWIh<$w$%_D86ChT=IkntG^K%UJtmTu<*@uD9s!^dshs@hs3c{s*y9$k_Ve~|GfA-
z!|LbWk>(Bsafsf^OcopA!GPa~N@9>1o>=+Ht3`{!GW1>V=|)~W+ipd8{n-??P4=XU
zVU~WDb9a-f<3l1}^S3QqO%YxYKbsawfc(y%Y8T(|;{>r?a-i1)y+`Ue-bfKp!$nAu
z5fg--gYi^}7i%65HqBjsCklnWU3-WTLO8fmI`eAK7%ufCUZ&SX@j9;DzU!AT`1Xvb
z7ls>y`+mRZ)w7})pNo1bwptV_Gsz;hD@Higv1GqCUle1edTVr*2{<pnm9da(g!b!n
z{-~Rx2-&7-EF~<4S3y#49QsD^<Fbt^|163xX1<1Q0^*o_-<o%+lMV~@lY{$M-=B_r
z8hM;Vgp5#EFg=Ej6FE2JPsgzCTXP`zpqT_t1%_GktFiQO?Z@LUz7TMbEtAR>DvA5z
zC4pHzhA7(Pd4b(m4E^8CNy9Z#&>y&(ZFI^I8U^g8dQ)NuRce1RB|rja<t@8|Zie7n
z$lV=~Cyu`q--Mz4EI(qQ>Mx*Zh;@P2I2u`ec_tn5aMOw`&ipp?iJGFJH0CM1S^gr|
z;e|%oIeF~3G8-55iiYDIgGLdYlAvo|Ql52CMA>ow?4CLrE;ardm06O+zU{f`yy;4)
zZ~C)2=_(C#^y5o=d8NT=Ig?Ntt&9*^^97$PG)%^oAKObMfj{l@PfC~yI79wiimjzV
zrC!8+e47k%CU!cPvF4BQH09pc4jL|KGCv=?A`Ab-PkJ|4ywLn7ispG5t}7L!mvG5L
zratvy*g<uecee;>85+VjNbj{lv;quoSorMC)xh}%E#I|ChM4~m`>AtA5zQ)AqSr5x
z5!y*4D||9U?CCqxZ7oVr7>--<y+y$nF0Ib9E_8TG``r9<LK)Q#Eu%7bsql`ETeq`^
z4u`G3MPCP~AeH^sm5Lfoe3ztp|Bf_5(_CL(Ad44V%eFuC&uYQtMRqq?)fi@%`@CI5
z)WBxEa@ROO8#irhx-v$L@gS_uux(Hcr=5JIdxdpiQ~Gl7d$S2j!d)%TRjXrhj5fuQ
zqXSdr$iMEFP2sjBLen%_0}-B4ZqL8#;9k?}BKblysA`#3Jk=)Sa`flvE<Rn<ihKyT
zRAi2zlG0ixOP>$yUN_!6p##a@$=S5a76|5DGnTf4f>m<+yKbJ-!7Hzy>Uq_ckgUF>
za;~3($Fd0ptsFY|V3#zceA@~>Rs45em{9R$Yt#5vZEbw9KL3k&!y2pO*WI3uq(WqQ
z^2kn-7Tio?Px$09(6XaKDE}B0*)G*F!LO*;qd#`x0!v1{e``S2NTwq9gN2;q77A1@
zT<CB-34A<lvc%y+MP*{B>(4tHkh|(8r~eU%7rH-s?JosogloT#t*C(!V(Zf*#l+7z
z#rf-pC@8&c)}X|CZ|PehyOO|!9H-ib6Tiu@33a9%k5I-SA5EC(&P4TAktdC2WNZq!
zA35x&i1b~V^{U=XJWLBVwh7ZfXvXH-;FUw%j6JE%g^4{vztt-<)$!!nJ=^s|(r7B_
znoTxl!hdFic58te^!k{?;E==+&zS@n5!QK-QM;v76>_V3r~QLjTo{dWNbU!mDpc78
zOI2VuxqX1nntRpfr;nBu1I7kY{FcSa;9fW=FyJf<{=b5Tem*SUH0hJjRm}1c`W5X4
zi~KCTC2AW%1hiahf5kW{;&9umCZ;(r#CRr4Dzg}%>8J$X4V4EZXC`^LxnXptQuo;y
zi{nL2g$gCIcpG-Zp=u*1`rLy9g4bI^^fc+B>o^G$nIo%HL|4K1xJ!_CxfKR(5_v?n
zN<&5O_|gp{4m_6bY!+j;Lev@W5UsD0Ad!Ls`fJ%i<M+H<?QMymWvyea$0XqVGwV=t
zDmw@scXFf}EZ~~u=d;<32(?eoeD!kKacYOk>=cRBZ_)O5-m&y_+X1f&^#knKtG2MQ
zHNhPDRk7CHtHtp4pyGEUUk)ri=6&#M&<wXb#ebd)Az(Iih{`Lt3d3&Wj<+4nAn=vD
zM!Q-R1bOAcr=M1VsCehe<_1%wmgG`m2rS)iH~h);EhngqOru3DQ#@nP;|t|Pz;=kf
zqWFUgg{Q|2+e%DOAXh>XTrZ4N7pX-vSsu6)a{GLgHNl66&s~SF34w>>l#p}~FX|&Z
zIKA_YQ9H&>{%a|OsRJ_tyj^_2xxn24^2SKy@V8jABna6v>#($00J@D+iISI$uvO?I
zZFWQuv)-LL(KCW*wE1<Yz`zJRLGNc1mjy9g&|wf(BaFunnR`_p(Xk`aEH2wx2#J5L
zjFqktg=k}-UB4$CUQ4kXR4)tRjX>8{FB<}?Qj#LMXAKc<X&4e~A`I=Or07r1EFb!S
z$9UwdA*x3oxr>hr<J)7ErZs!SVN1zU>SP$gGdN(N@udjXyp%uIR6;~(v+5PaF&ZTK
zn(y5U5(WRZs;q?X5-2{D_tB<|hJ)=#l-IHm(DJ)?N5g6<h?k34-q}t==v<IfeFXtt
zhd6pK-jRmtIA@li8V$}>=d=BS#9+Js{Tf#r8PKmg_YY4PAVMz4`x2|}d-E0w?|hR5
z|MX!uwl)J;?o-_`sYZnL&Vk^}Qh5Z1j`3?<Ho(qn-&^WbB+w?@Va$kA#I=ak5t~jK
zp!-NFhrh8T#1})ue%301Dz&sa;iv)5dC?M_eWlP5kb89Wt};HQZF$&!+yEV|t7n^w
zr7_oY<S5^B6<}gt?%rb7d5#TiY@H)Pj-Q<5IHHOr!qL@jEd~g`aO#>-pe%%YoHm&X
zsbl8rM_=t(1FWJ1+&J@H4nviK%m#A}9OiKTEM!T;Lhe>Y_7nvSZLNzD4kN?K;m@z0
z(=_O~nC?iERKnl1N$1PO6wFC5_YHFzqF<7;$!$gndCSFzq+U~TMsBbvBEt~cpG&!p
zeNaYSvv?ZEf+i$uxK8XL(~*C9Gp|RR3aHvabCP1(Fq*i<bD*D&(B<Iuk#(xDKkaWT
zEun*`+4U*6uNuL^?nAs#xf;4R<m_Eq(1F!U6CBPm#`@Vq&)%I<hfqOttZKb3tg5u*
zvX7d;dsH@HDpmtDQS#t5J3X|dQy=foGlh@HAsWGrjC;omwT27yP;6GVcHoW~Cazgb
zBq~y%8Ktyo=%yYH5ue>P`)ZC(?vvGPx+&nY+gv7}s)xO8#n(rPmf#a?klPhS#hq`e
zf2Fzg(E8{qGr-OYCS|s7gr=xq>kuUITj?T>ZBoQH!WvPsttZ}X(1g+{n%jDc4i0ZW
z`De{B2HtM584@|D3C&H(%nL8HSo8hv)zh_rH`nb}u53+YbDkQLp=n}Pi+4`9k)`u>
zs@ioTG~us65&sat@+CXpY7NOTp;Jw8bJ5U*z{yWZwtF;C_cL*(Hkb+CgFf$bZ&E?g
zTX9qlP{Vue#FO@AOkl-Rc%Kv%Pln5KN}W`|+flrv`-BO}fOf4y4^~|XuM}OOg!hAs
zI=ye0EMGag<;H%N|NO7&>%I&*{M@inJoY6M-JUHcms2$mo;LI*vQrv-Wy|^fwM-CK
zEtcBHsKcq}47XK)1lBt)AF|A3;@+zatKB{<ebYy@COe5Ci$k@BYYP+HEy>B^7OH3>
z6YB?cMIa=&D!iJ=glJJN@sflJuFgJmXi4Em%DbwN^Ur_*EhWmINhQQMhej!!<i-qf
zVRAAKSo#?07j#7tDG~A>CtX+J%$GW_aE2Xu`CTJP^0=7Vo!s5X21`|!yuB=rcQo7~
zOGn6J_28}PivRvGw#fUmn+{pS_0c;O-$W7={Bk#TCoD3;qAz(==~|;#U`^Rrg%r4$
z4z=Ck^9(9q<5+B*6-EQJ3O_DNU{049-=I0iU>4v1(ev06L#E}<9^piErIp;BIW^13
z?tLp>$LgQ*K$EjAT;ee0=Z{&+oMn7|{#~PSrv)ChoV5A;fB@q3v~L#s9OF6DbDh^c
zb6m5~d-SJJ6t}iLiEi(oV<>fB*BO#9hr@Bt_D(Aixb$}$2@5YU+8=CbJQ8Jw4#!H;
z(*r{I-D#TLdt{NZS1&(j$2(JOw>24g`A-1<O(n)gGnN>M{y3j$VG6?e;g(x>_;FV{
z%k_cwGQ*Ci>JMMJ3En%6=B>TT2SWj+;9qKNI2N(DdXQ*>YdU-zf?o0B2rWZ3+<_e)
znJ3T4rW>Q0`R}+AnHT-S{avq9Iq((Q<OY_%aNp8!<9a0za(8k4eAKxLJ1*sDJ&8Ah
zS*-5n6TUns?3#2tW5|UBX7Jd$B|2226H3on@nE7{!i{>J8zlWPTaOevWK$;!Mr?TS
z<1(?d$ATB}q^bB-0(2yVOW6Mo=Ygo@azx+|AFhS{-njdmA=d0{nvZ<IgR8{G(aFmK
z@N@n?dR5yH-`8)&8Dm~_%~jNlrVGJ$KKJ*ZRvNZTNH(>1@`BSrw1+K21n1uSHOKqY
z@U`tDS4S2fI5t*n5$O?y;7I653KtDKj{SUFAHk2gDDz?6B?35i)ZcWiGJyF;;iQp$
z0;pNmwOck4N21r!zm7hvef~7RW~D?BJ(Y9<^)L}HRus+q#0)UMMbrDoln@@sJu>qh
zlfYy8)o1%(=_A-b|8#q>2wFAntl1bLh3y`*p^tL(p``C26Q3rEw@Mz&^FkyT$=1*K
z`syQflw(_bFaaY!t?oW(lR=6cQB~GhALYer*(QN39nx<%Em16o>fz>u9tnN4+4uMz
z+b53xQn6DNXB9x^OpqyH(}(2=y0B{z5%aAjug|zE;ph!3y4tuNM%$-jd<P^Tv$v!?
zFiIJ3>GQvZ=k?IALU|BoF2&l{$YL*2!Q%O-o;@P^*xx(ZDp(~AcDes_8sDqpUwziY
z07HE|KTQ(Pv5>(@uS;U?D(cuYx8}fwAbnJR4D4h7DhqL9&zoQSH1OrH*psPS`Vh|+
zJM*JV9^wzKF1EZS<Mo3k^>su8Bo@@UJ0vRN43*Q8YD&e!6{qhRnFhEJ`JUr;of6DH
zA4zpB&_tNe<F$tsXfSiWX!@aE87~L8E}H$-LdCbAt-a4_aJ|{OVE;%3(h_EBDI0Wf
z=+=pmmeYpVnB1<C_eK?(1Fr0`8M+wD%-*$-KnJI;9pmn>8nSa@zf!K~VTLp`6P99x
zEgAL3BlGI`_RpfbeS<zCGe*vemm1@WqOC_67a1vka<`;j*T?iL%eu0D6EHO5-I{nP
zXs|r?&wG@0PoJ2bAv$K5edvEFc!7e9v4)s-b^~m^UUWt?+Z=Pt4SEr8sVL&S_-g65
zJ}z~v42t}<KtyAd@AgxgNRjUziMytcwGA%nA9h<|*?PJ3n>Nd*ZKCKLG-bWJZSj7c
zSJvp>!Ca&kY9almCMUm^9=^l>>MAk7y0L&^@I?#KsnIWsGj!1N+}f+I3aA&n_uP6)
z3kG@PJI(U7VAtFeFJi{Ts>}brslU>~?6y+Ztld<6e9xGqRx;5^+c%LMqlMKDulve*
z$XFWg8YJ`Dprk%l^2skv7*}ac#~f3`9Tm-8f%Y~?t_~V9VsWlQ(N<*(uL{-@)}|f}
zvw^JngX@<Zsi^p|D{fFl5q||v+x{18gSE!18?<dGNVsyNT5gXF9#=7hMM7+#el_W5
zGl>lS(D4F$QAx-y$~N+{^53^4wLR!lhh1r(%v+Ke_{O$49u>2JR)4)$ai$syo*X2s
z))PXP`nc717S}>T*t_D5RpBJ{-?XPZ55g|~_aZEjiNrZ$hYz2W@y6G2yTuYa>P44-
zsj4xtcDUa-`Ir(?*OXCqr~YMVrp@Trw*pc%dp75!D&U!-WouB~G~?dpeac~eKzFO^
z-OVgN#u;v_Ci-rSaYJxeK!2VA$2jq;zEvc6k;CW7gToBXM)FT5Z3fZ}H*Hgllfpz-
z(3=XAFN`DUyW_X{S>q&CA|@e30#fXh#PEeahBhTJ^>>~X-uzZil{_Mjzgw=TN;h{i
zu6G>`7kO(5JIg)Y`(6-miuaAg73w?2p7j|$G2)gmb>Nd&Yat4Kjna4H4euB$RTGC!
zxm%$9a!4Q7B_S9!IP>mb)yv@eBISFw*c==a;(HyG1@POPQunU>1A~0M#65q^3>h@L
zth^Ck82gpYU(z06Y%J2rIm<Ld?Z@Ky`+vB>&UPwLWqgovEvzjy;hZVribT^lFu7n$
zVs5ruHOy!`ndqlGYl8NC+W3R#t3a6Dc5#FI4~9QwQ)8C932dk-QCG7#V6NBtI`-2q
z#(1$$^noU0{5`Jlqa}?UuO_%YYS>RO_`2#JekL2^N$|g4yp?Qlbl-Jp)^Lj99U10&
z_KXqw%kNCJva!Kw<IKhT2GfkRC@=Bjd`4Jzcvqy}-(|+`mYmu5%vpwX@zulElj%tR
zc|~s-%Z%@le1yutc}5LCjsM$UL*(W+{Hl5Rk73VuI`UA_B4cg2=@K>G5IT(ZHSGoe
z819tN!O*ECh6>euIC7Z=Vb5UGq>6uxP{(u!lK%>0znROe#xxqn<@C<I{_~Hanz2aO
zwZMiLWr-zD0u6~8MzqL%%Zx+W-VRsYI54ogKHQC^^UdWJC{OfP82T$}qEU}mVPR8?
z$8AFch>a<n8W&}8`tEV+1t%`_xSeu0d#(@fEdIw07unEy&@0b`Rfobe&Gdzx`gr@t
zCw<bD9gLpd(eyfAtll&GM}kKm{{sL3|Nj)3cRbba8^(?7JrbG6KF7g1#~%4y2Q5j+
zC@C39lR`<P(pR)gW>H#-G-!}=K1q_Kl#vo4M9ALb=lAdP$Nk)|>-F6Cb-iCtun@IX
zT$KlEPny-luL`5I_Y^bC(-2Y5jbAnL^J0JFfhUpKqL@th?O~c@fG5ueI{ZWzA+@Rx
zg-zm+T0;{a=QqG1d5SbIlMjyzol=LcNy2h#Lc@l=`Y?TDKD^-oKQ6~iH{b1%!X5(;
zNlGgnTd8#-E1Lzt-WY85%2@^(Vn+`z+e$~k>LTI6okA!*vhiq4tt^7GKL4of)x&y?
zMb3pPA_&RuvvG)!ga4AZo=Wk0$QE_hHJcGdjId64gpE8H7x~KH80n!ZxtD6mF9ET+
zfVG~~r8uo!^(B3f1|F(U^pA!9I9zS}q^*>Yr+(r`)f*b3B%-TY>ZIV!&U=s+t^&dM
z9agRPX;4xXJz1zNgUS;@>ck#3G-t?Odi#)uldo<n_b1BYGtW6`|ECntE=jL!_(X#@
zmu>p6iX6Is_a<+Y(ST7Rui;-wJzSo-`$YQv5-d}G>QEA=iJ1J`FI*1l;h#2rqido9
zUQTX17A3BYZ#g1Sbpmw!y(@Ij<A@@zc{i-PdRGS*Jo9B9zoX+s==Mt%r<5VAm_H=o
zN`<nneMQ7eeH7mG_TBVM6?vs)nrry=@Jaj`hW{EsymnV=5*Gz$AMYq#$Dt#TVxrow
z&%o%NtK1_->hQKPzpNZ?0P~}cBISZiq-E}OHVD<g39dBFui^|`y({;EBgn#*U^}I?
z#hUOo2+?(~XMkoldwGkY5x6&5NO=otL+=6ip7sPLI)B`k6^}MX!0Q9U&h9#R+L6@g
zLt)|2@>moNm|)`Fq9^lLbn(40@}tOQ7RsH^SNohaL!MM~f_fblJe>*Kcp6z?nz}_j
zx3a(nPJ({)1P$45;!NARSXj=xe`g<`6*k=GmZQw-fg)D<Dzk`%q;n4LnLn)Yd@?e)
zu8|J$Em_0cR<kg7_pgfLBO7EK&vU!}pFR}zI;<j-m{2?$lNM_Uuzix21Wo8;_(z1_
zw`&Yo<&Iv<7GuM=BYyi;Jp*Wlzia0HX@F0>2OOD|Y}kn2|5&rs0M~o%8Rz8aaN&DW
zP`bkw$@_Xd&CB#5w$yg16+aavNy{9MciG~Khr{DWU46WGo$<Kmy%zqNOVLij4pZlM
z8znl@Q5b)^ukffk{v=56mk+Z;Y0Q#eA58QBxk{_87gW%_^O8ektR3bhtn&wZsaW*v
zw8ocEdCY0j!ix6U;g7-%$1jI<A?r}wRr^&MZ;8|U)a>l=%kXnqXRkISTCc6YlOlqW
z>t~}L%-Etqb=Qx(4qDLc4f2kt<3YJg^1!8=wun@ClEHIL1HZPel_;tiBh+$^F<)ET
zB7XLbdD{>Lsg(&jOI16FLnoudZdbAK;?mvcBWu-gVQ}E^qnbO!>A8!;Qyy%X3KcvP
z+M^5y(X#C-%|AF22`yPA%|L-O&*gu9OA$LVUXpaYn`2aZt;RGEsQ2FemUChW_PIDK
z`u`i?5FzV6OEeScj811+H^?H~#Y$7CVwe-+sZp3YVgr4pGx2hprI8f4eL&;PD2FFo
zXe>s`2KP=#2CrHoi940&9P`4*I1!Iik3^U(L(SjyLbbx8@JN+t5`I3$G2mR9Zro~(
zH^2D4@j42^b_@N2#Njc{J5S5>>_jVEu`EwX?OTMMaaV+cIz~A=Z^<0U|7Z#Aih}k3
zy1AkAr!~b+W|VV(n*ZVhaZ3!nUB7%w_#Ba@G9aL!G{Uizu*qb5SfEQKGr}}~k~qVf
zyRlDtnB#lm>44}hbEHp2hGs{N5+R*M1@{*Xankljye=3w1Dr4K5q~#GM48Ww70eEB
zRyj@9G&`H&{tAxQ7QsGZvBfW=488%*)msggHV;i9d^_Idvr`wbM?f?=*uI}*Te*e*
zl(Z@MO(`35R<{wlq`#@y!(PsuLaoU0NE6sN{gb`$_6PAR#AU|G`7dXi>#i+*oyK4&
z?Y$ErQcDacj_SGT^>A+grNyUt8bdeiY~s3@N}`Cb{pLe<H^+9D&C`ulMqv7Se)8mc
zMab2P=r<?+;cPLT=-^v!gxwCXS=N$COw`Z3x<mQHiKllOMZRWXh0^I24wvt6$ju!J
zK|NiZtj-UH$!r$-hXT)>-SLu>*+*;h=<DK$IU9Oezh&a?ocCfXS2^c#w#$zP)IXdf
zDFshm9GTeE`X=S3;YZGxmwHWO<{u8d!+hVXg*|j}Lx*$qa1Ez<*wf^kV>gFZVVWHj
zz<`&~SI210I!;e)!s;$o4@ZF~&L^tJ5LCO?7d7VJI1&DVz7ei}IUjf@_}rxp(Ud~j
zc-ZC#hbF>z&ij5Z$3SRmy%`Lkpm6TInr$<uYHQy|JKKKF-OGZJJYo6(&)MY4>|dO!
zjQgI1$N=Z(in$-Dd35mP^$7@Av~fg>4U!hg4RR7zM%w&Z@GoK8&ttmZ+c^)cU2+}l
zhBzOGO~gu>day})Q5JfkgX5xboxLV$n8R2j{!%ZBhORWrMm66q4tt6I`8(pHoMh_L
z<q}m?sOu;dg}HQdS}Zi%cI1z74w=|h`BSLa`DXF1uYrF#dj%Lj<xWg+X!ln6YDek9
z&0lnD?VUbOgzB2u+>=wB)Ba~?yqa_{_N7)RccE{Gwf$<juV*-w4beGbwmOJ$+Wujc
z&md=-D3jAQo9EQ;-8j2GPkUj%Y0Ib73~~OIU$*HQ<07Sfva6j`w9&RA{3<PQgcBF{
z>dkmK4|(L7voAeK3qfSDcDvdb=SpD2%N0tC$Z%8137WJP%-6LIj`B@#jGD{_3i|lS
zpvsc*D@mFdG+?SsC`@tkVm<0&`vu6``~i=<R5el5@^V$T?+hnH#ouU~hA^2Q`EBIl
zV+|bDTcu{xKF8syckKzkC`yhol`au$G_e2lEuYaEE>bObmGuf62~t~Ea`a`NI)+*+
zEKJ>b$esSSKYN!*k+*JVit?wcBj<><MfV&pY3udU)%BS)NuhnuU+1C@BdxftZD06E
zxnVDv(r8)ol!H{Y^kQ`k?hV$luM;5soC~uW_Q{dLzR|u4T@;K+y6%e+7AC8gr8GGu
z%afa3*1bIYo`RU&Mn{|vijvpk|C}4>UrKJ}3TPMMP~bMumG)dsg8cPPw=z6Nne1oH
z8$7L~U{817$S9u_x!lX}%tI|T@@b3b_vHf=%*Gd}X<U;gdB)R+e&$d}rtFq>J!5s0
zC6?q|*dj~*eRi&6ud@dE;dGcl<`s3k?)K)bUm-`%=FaS#l+z*|br`je=o+BW4|chE
z$&-#RUcbVeHu>NYS8`y#27c`Q=_`I^DLK?LlJjd3l}yv1ZFu@e6MolrEAJFmCjAVO
z&vfeOk#8oQC{dc)kjsxt?YpZ=8WdZS9)9{{7Nd*4C07TMlGRxQmK3sD|8-2(eM3@A
zT+k)rBo$7~7ry(RtCQ;VbB6`y7^L7*uf(=eJ#6}x-kHBrlN{8~{w+^okv<bm+W!I#
z@O{R6i|ijQGMim|+}hNLq#eAWboLbkj3?{z*C*<b+84_Bd0ECJ-_6?0FUMF|`^LS-
z$(Bk|`fm45@tcsZzu!AM9Ak_`A+NiQe`(}oyZwIZ9TQUbZlbBh6I0k!&aW&wK__3m
z`I`N2-h>oT*>(7yoCRDm>ayzR^~w1f?k|CSrsSc<ED`^7D;R4;hZi{+l4&2@60~zn
z$myUDdExptaJ1yHr!g7iy&aCL?K+J~X}u-OUU&oJ<-Zjqk{RTIy#ulOg+^pm>%Y{n
zOKixq-d%a{i9wPtQ@iK1Sfp94DF5di+l5@XY}%%gL2j0h(0{j#K_;YZ-|{-m4slKA
z&niA*kQ+V~@X@Jsa$I|?qQu=EtG(&#)!i5*Wkb%o%y=F0;Flj<UEk~>eA9a9!g)io
z`pFe_uNrmoXUZw1G|F<YhpjlIssZVCY{<<iM2S?(`A>B-YdHdI#461L>16MNhTy$l
zWk><JuxYx~a!BM*uYcT6BZDlGYR)SOlC;ln`rOLx5&HAf!;K!gq)llqzo*tH=lzgo
zkkKZ4GzG+63883{TgRr48C1O>oF*C33XOJnkVkX$XxAXu_833OavUMd6V@yXUuB1+
z$+|;p?or6p9pZLM$GKtKs!_TAku9!IhYoF?Q6UApHXrAu2*5J7Z-6Cdi{DvkJ3rPg
zB^Uj>(4b@|g0JD(BH~Bb_>dktKh-5i>dGEEtxFTfJ%><{^F2UCN&fG$Wiq6*P~qez
zVM$azy_&afGf+MA?^4GT33A9QG(0C`fdf*e7F#?ZAi9pefjlBaRve)>rgTZ-rQy?l
zzlGfB-|t~fH1LvYhbGVU&Pd`=$hQ;q<T7x&9IH(B&vI&vwR~#&CGo_5qeN4)HKu+m
z^q5$TaBi;(UPb>Pi8kW{+{cBiAu|`$p4{5Sd3LH#Tyo*w2rrh|8^Q{9nNAHxQeQX^
z4$E5_?2$yOgxi^GM=kLzF-25H;x%FHsPANJD~ZKf+2OPg7FcoRl)S3pFQTjOO!+>F
zBx-(VW?oXUz_AyN^De)8h+dCgyKCZ-7$3~+)QmL8pio$i*NP#ccJ`v^V^K-`I>(H0
z{Aq@!*at0D*<(cinfm$<%96-E;<)SLN;9l#oxePNcZx8I+RccyThO5+$uhan6eS%}
zLRy>V2-Udjom?@J5Rxc4znEc)=j!hZ)VsK#B6psnStE(Sinz*_JQL7*G_B6Z^MHHb
z+XoqzQm9(xCfLX{!L!RL`)<lFLivo-iP>T)<XiA0jTakZ^}~}M*E0BEx9n*5J9lZk
zlPsvSbu@;+OeEV*SpaeNKJL+iGU$}Kp7*8A2){d<nN3#(ao<NU>PD>$T-hO>pJI%_
zmog>hOc92^!t>O!7qT$%&&%1TVT9PHodorv2zYMfe~v6(jE9vQ-|$wmu(fW|B+Eez
zV<JT#0~+LTB=a~|TMP?dOK*7H8yAOFfz1VN33<pWSgeh*VBzesWQj>{NhI}@d;9t;
zKy)epZO>^Y7}>f%4mwCdqI%-=z1pRq=xe@~C}$$W<f};ka%lt@Wd4otSHjC;@%jzv
zOvG8l_kUmD-hu~xtCS^G(3e~c?n6w}-nSt$cFV%Qr2hVm@2W^A(#MDVnAkI6V7V`S
zF;0x!4)ktSgMs3k6UG}C>fhM?Cg6u0{*0<zf8S0)nDh$kZf_>utXVqi%8*A&f4z9y
zusZGwvDY{UGZA?_acf<g0*JBpn0QG|eEIfEz4RgzPXj5BjpY?lsc7y)G1tPXLGA3^
zg*>+9?HUD-TqVq!cpr!e(#BOcYH*w=3qr?ohi|#6pnuEI$=jJa2rS(0{Bb)A>#F%V
zQT%Es7*5_cSg(szck7_uZ!DCAyotBzRfDe9w(eJ=G`x=a)urdVkQ+b0JiMZjf<(U%
zT9~CCl4k={lDLg=?Tv6{^#^qXr*aX|8|m;m^Dw*Sg)u%TC>dUOt%39%QKW;PKFqG9
zdhne!!M1A`$DTjegrZ7WRhXjz!c3BO-8yKBlQGqc+jF$=;!n83u(%;uW)r=u4w+%+
z^Pl(BQnay$F|$AXx*;rXwroFr-W;i0#%<;f>Y(^*fXB~qL+}PGz5o5p0_pc|@Lpe~
z3&k0WMZ5SJuwGAcU+=NRZtW`PPF^bfgucBy{>>0JTGF0vn$`$W9eQ;A78Ua^59u3w
z7((sysimK{EW;VCw69fKG>o0(R7jjKK<W|0vd<T6@YnF*$DhY(=&b8qb<tlRGTMsL
zgZTu0f3%wCE2N=)Y5vcuNj<n%+nPVv0+d;5heVaqAiX+%$<}o=$X_k^7*Y$gzT5Tj
z>2(@n1tPtKLUeJaWdF({Gd7%7?EaJBN<)0LI<0qyHpHFV{8q-Xu}Nm~6dI`*<JJ~R
zan!_S^V65hO4vAP5Oh4&j0%I<XSqE(>X;7W_W1mZjoH*9JF|Vd$o8t}<QGvxolCgz
zXfGROi-W6dPU|3c=cl1p{7Sej?Dt>%Z#LM)aV5;t+8DVXx?Is*9y(W^X&-sd20_tz
zD|%21xi0_h?OvGEYwu3=F*DiFVFdF1cGE;+!07PWbSdmA+*@R{ZGpSX$7eEV8sG~*
z-EUhc2A*@)aq<*4p7=yli)SfVA(A#~$}5DE>7=Xsf)3kW%xBTRs-eG1nG+z%ht;Yy
zrq(fF$LeFbp<7hpelns%p^h8w+I#7dRG@IYY|S5<G7d-XPtW;pjyPR(^ml&-0SC$<
zVz-ncW?wt~E4?^HytiuA?dY(9^Ls{sr<?+QZ?R8y%pE6|uhugjrrUr!HDUW}>m_i#
zzOKsa;V5yE)tvi0Y#AEzm9p=|Ek@xL+l&`cBgD_KpQYPNtg-m-jaJD~8T8&rwd@%g
zCUz?C(P$U8#<$D=G7&G0_Z_}7cV~u)DjO%~axW{Wx;~PwBc#x?w`am^q0ZM2zK<dw
zSYprif%$=@k|-ARYToKIN|;BUpS0t*#GgUM<Ifr5z!I^w?nz@r<A%ljYy2!wcA{F%
zdXFfy|DLl7mz*H%6E?ZtDK*Eus=BbrA7MNWVeS_wpCqO>+eL2GF-KcoX}evf5Y`;q
zK<~|)CU~cYWuh;bA@@Mdu)rBX96ppBwXSrQNW5%nJ2Ptv(Iov?^9KUhaNd;aGe1vc
z{Z4oK8ElHg;u6myZUI!Bjn{}}axcu0`+2oa6TA|X(8`JB$7#XM9i9hxU?=YIxnipc
zZYbH7?_=`g$@G4^_-bCHs4U;r)MAW3|1R*93-aTYS+U)WB_GzDN@NE58>7dz_2eS~
zegxdg&s+S89|=5G>;r#|5Zc=E@FJZbdW+PZuXzZf-S>N=dV~>tf5o4n9N@=;Y>Vj<
zAz{=nPDO%{5pJ3Z-3V^yhq&Nae)l&Kn1||cs;{x|_+wc{Yp4LubeUajEEmI!-Nknl
zD;DS>8q1kFg78?&dUK*)0(b7dwJ-j`!~xrbr8{N?aqwBd(Nla<xcjwS<<~JLvYO8O
z{T>s-TZL7D|BR%eJY+D@rq6`?v5D9AvLbMLxBG`)gbbSA-l1y$Vql}(lv|jGC}N+x
z`SI1tVpYQOIps74ganG!GD^ho#Od*@{c1T(bZ%#^-^hSv_tR|}P7(;Z^Kvw=aS7V8
zT64Bh7%1y*9(0P8#KzU{h6m#mQ0O<%s`A?qtvY4uoncb&)%^T8%T*D<8qP86QVp@<
z(z#1-qokpG+tp9OMj74&|9VGXL!25Jk8ZmngW3bVP1_w*!Qz!QSi?5Nt=!I3!>_W?
zsvUg0<fR(M*95))XlV%JiW`O(HRSM~*GQOL@TpSEiiF$FhM1nR@~J+%1a2+MJH9Gv
z;5vJ{X5>FZ<eVJ-eneUUM-qi8NBlLxnO~GbZ#Kl5uc6OI9xugI{m5^}A}tipMl3&W
zz(Dy~yAsN7CCJ;2T8Js?pgUn}r%5aWVe#vwBA|kpCGS_={7)CVT**4Ke+)2H2WHyj
z)WH2gpVc}-#h2G-+fIcsQFh6tgkOPz;L$Z1KK^=WGx*^nvzP@!ZM#2ROC1i+pWXJZ
zq{DTlIy3YO3;zw*RIaelz!Y05Et_J1q0oTF<~$<^x76>?a@EA`l2b3Ud<;=5&;Hhy
zZH#{Ey6WmZTDZ6G+4l$53}ns8Y0yX$-2U`IHzQ6P8YdmzhdyRt(bda$EJsbjU?#s?
zoT`JH#6y7=0VZ<n=hm9pn?ofgjeY8>F8+pouOls(XgFhAl6ThvPln#VEjUYspyTWK
zU2G<*H?KT-Sjh^cf7V!M01ce8>VoD=nRuvYTwkAJ4Y3tx$GsKxpeh|=F7=v$OMT4g
z6H+$t=-KRaK1UDd&cv=7F=k+BXP=3E41w9&$Q##1=`eY$Qh2@J0OM{IN=CbYEQ)1)
zg*6>7rJRj@<@FJh9=2;GKN~O0k9ifE(Q(A9_qXi`4Yl^+%W;N{-8<?UJErw8`Q3h9
zTB0soY_@9cnPg*6^bButf*x*#EAGt^)`r*l>-lbLZ1F@U+B2=4hVTt%xuk<NaL6=r
zbJI~<yblpQ@l=e4K-s(bqV;O{ry}RNI^7nJ8!gqU#i$q(?qb*8R>GenRu7fZY#|}H
z{`k8d9W<3VTIBy-0yT@!O<!Yd5i*w%YjIy2^oaCH&tw^_WU=2Rx!9uWA&>9OMlG1v
z-gXVzErEY6>iNH=Y>`wECreIiKzhe<^`dM+sQ69IuPtLEVZMm@EL9zudzY0jZsS2s
z;EjI9ZZ@or`W$jKqkv0ZG_GD}hIn*h{>x=iHX_zOzq9;>DvaN|`zUW3A)fP4r=;!z
z6HG0iL(0l{_Q?N&R!}c75ya|w4?v|rYF)&&rPv+1c=1yHc0z1lfJyx$0>|TqB(s*w
zqippso9gwA$Zb$Ei}+=OjE^__Z_3CaYRum?d*CCXWO#kGyR;2n{5MxxC?bo7=4VyC
zzNN&+SL4s0uUv*Un_|~S18Eq3|8Gz=x`?Rf&mBB?%o?nT7pJGAB(XZ+y4%fn&xy{j
zw|2^tR?yyXLhfRZ7>)|Q*9m&?ir`o4lKIJNg^aRzt_->eLbL}AkH0M=8iK}`H9J~j
z6?5jthL?hfqsF~(;rd9pTHP>Sa>W9*VshNUN&L9P?NH<v{gv<;J*c&>-yG?y<4ueU
z7NNv~`R;~#BjJ+FGgZ05999owmA*^z!eqj$HE?+gp~*A#VeY0G`Uag1QtokMPesdP
z(e^eX?eOXN4n8y77#BVFHi8QYTmgM<D?5pert7eAw<!d!pJR*+&k-R*&GIo7-Gtu7
zzwxFGCg5DV^Ox#6ON??Ewtx2PBM#Rk*=$~6f}Yih<!Os%2shbt^7l>+5J5S-zaAAC
zV`o=D<nBe&#Cp-Dl6xUTL}uvrhw@BgtP3xVI=g0yxNjR%xM<r50k6zwG53uCE$fK9
z+DYPD<e~=Uonr*i?fa%y&j<sV(M#A@CJCv=znghtCx`}{<Q>8fSy;V<f#`+vFKOKe
zoC~Iio?G<AOH5fvESJ6G@@0~!(Du^Mnx7$3Or=<(BoiwxwuJaCn<6~)6bdDF%@eYt
zU-#Zz$As3j$4TxVQ-p~)!Ob_vwZIFl%35s<gq(Q%PbX)ZFcuZic(I8Gcj9^qk4G@z
zw{2@maLx>oKE~EPRl|!vHo>PVr5UL7zWYL~X_i=b?Pd6BKR(pgxA1EC8Djsd0<mgh
zo|qWicvwhU0MCz{3i)%#0MXA?yiV@of|;#OQCzzq!cLpHGe-2W$L#&lW*2TO{}a|&
z@?98Z^$FX(9Q5(!%>7WR8xJ=4bcNiV7RA1SV`<Iz=-}MAxW6Zq7fqW_wuL)LVAGuJ
zG8Y*-qO@id{^T!$y^i;`%8rG1y4U8{_LF+h52b9U%kU%R^of)@wlsuq-<+7^*Mnx6
z;!fTa0dQpH$%<kbd<?%Cu9irH>eyk|NeH1xC|yO<V=>6>W@|<CX(;}Zx1&Ku1gjHv
zHHFG7LEUbev~@idK8aEx*QCY3w#}8YACpJ1C?(~<1u9Bp)b5{v1Ux@;y_Mirgnz^K
z^Pe|UF(B}wGvu=*0+Kq8P)(J=v&)(L6{vXMTeC7rQ5x>0H{V=IQN^dN^GtbbDx~!T
zI(Eg%;GK}`>lhgd9)&mUH(I|CSO+rn?+7i1=3ZOfoBP$l%-h-0l0b#hp3!699?GFb
zbWGZ+TLUfc>aHL7O+~wTaEjkSd0Z|lSeA1@3wI?0^P0BPFskFB?&7-?RyjM*#VF|D
zmBVFLjDjA9j=sBRwpR%U7VTSN@o9nMRHJ(B=k*Xf6!#x@rV5&p#lq(n^t%6DG%r|H
zAE7JmKW#dw2G-E@UpGHG{5ur41syd2Q}}iL%|{ft?RcU5g=K&-BfWexSq4~d!`YX|
z)v=NL@}atELvVtr>yyNp;9m5K6nD_X+9pS@oNo+#HMsXGj>%fsBdue>x3r)wS|%BI
zgNf3nmqw09jIiOSj$=Q!4vw7V=_zn!!6tEudGUxbc6&(`9QW2m^Oy{5ezE@lAL{<*
zk|_?>RQ+hbPetmW-ZmE72;w^p9*?azN1tb~^VJ?2tOn>?yLK62%Iv{68q*TP&NGpA
z3x2ox&+MlnPb1Vc@B6q$%^CtZhoo8r^x+U%Eh;w0g8OcV$|zYI{Kqf8b<bCQ$Zg>F
zb=|~*iTmZBSLX-}40&C;xXl3XKj<}dFL1a`RoFSjF2GZXddc;f0r-o2U2?!cXh~4d
z_98ZfqlS0XaSR~;*n91VJbh%ho}d@(wMEeF$AjZX4AA?j)&EWm4SJ3ia^qZfIK5R}
zDt}lX(G^`g8{~A5n-dwnY_}c0SM-+XQS?FXC_Gx8q=BfjeIr8;?4Xe<clEd!9sdIW
z0RR6CS9dtpe-yQeviE##ug&|~<9n@=?4m&`BT^)hNK0h=WEGK7R46mM(Dy@;8QCMF
z$V}NX`}Obr<38s(=RWtGqe<Tv%_vNOt2@u5W}1y4eBzq9X`L+W6<a^~{e%ywbK2AC
zkrA*^SA~8)NQA0@di|vU4hT1#(QHpNf`r6=Wye?2z)*A|ws4jS{KYF9URfJ~?)OAy
z_f<*w6Udj#YDNXyHnM^)>xO{1)k>ySC4iHMi>gg$6<cCAYKo0E1hW8_*j{fjpa4HW
zz`s~i<&>Qs!pv_Q&}s4-!gYe)Oh+*RqMR8^Ho`h_lSJsvNH>5~x+9I>{|bTZJ`PWF
z(kwo?UqeKZU;r;D1$$#Y@Pl@9U47ZkGR_z@By=+i;9;auV^bLqoHh7il9sxGi?XRW
zx=R6w<*^^7ALImbSJmR^$1NOb-|Rnr3WNB3_W^GbJ3OH{*(Xr9gSY>bVi3Bl4>t6d
z^F5+ifFtq!oYa?H+-%%(_ve3laOL`Z^R56BT>CV~ZlbV<dkap`bG*@o?quTfJzjcf
z!Q+1`(eB~5ZoSqI8P$P-KO(vOH>hFUg1sr}&MrP|e==*GLk9@qBc)k-6ky&fv@nV9
z;C*g4Tn^Z1!)uAV+fF507}4SZE;X`^zb?$_vrE(h-Z*ilhUhh{w`=^*%Fiu4@McAk
z<G3bh7^b+L-(JMN9%*f|`n!pzuxW0TsAxh0_UK5`=q%>jp=5oHu!%S4QY<e;Xu!bc
zZfr~GckE8@r;LXu|KJl2XP0Y!sDp2mzN%#T0G7id2`+CoaFxO7&vl2?A=2wQf9m%Z
z>`2+B&|CQpy!&@acvYbq#0^G&$~>NjQB-{OUi-X`lR^#!IrFPQZuS|cB!vn*(Cqh+
z+mm&?%cj6JGKvhJHe%;ZG+OZwokkK#aqBoPLOQp%M}j@`6G>7(d+@o6>Bk8r>-a+Z
z;7W1;3APFcu2Vf5#`loDr!eIPz9}G}p}wjL(G3>|pUjWrnVD`YW5FBv8o#Gvm7gjo
zvQE?m_D|r!<vo$1Qh#t;LkpnYRDp4^!u5@3Q#j88Yt+czAH1X6zn}iD3Z!dW1|2^(
zi)Z$vjc?Fx;p+|p#KQe5fcOG6=62?BTGh*-1lu@Srcih;RT=Oj@?Kgmf8oA{9TfWc
zJGl5syK`?8mEoZFB6CvSBL3QV+Rw~l57!JE+`k>E1gZlZyxh#ocvZ$j@+Lb45=l7w
zF1c0_KJx8je0ggHU;FbQ=d~aus<f%Ag+B@~uR7pWM7f5)=WxekOsEh$RcknvwgTKc
zkmQn-x{jYZ&E)wpmKvecH|}kQ$b(}|oHTCz2bZkMJ72X+gCuCbFIaZV!G_MUkxa=g
zJl&UvhnPTz2G2P1=*r1Ktpfeae&HQ_uAPHY)|vq=*{2B~_)ivoEx+EBHrT@-=AY}A
z(qTl-XH>K#R){e8@N9OADFu>GbN}?ien0ZQ^6J^H3lVr<#5k8lQ6levw48_>W)w~+
z*C&t4z?LU5P<WOKowc3NZA@lGA`Z=J;m$H}s^?ZBwL1-x%+`a69X9l-m;e0uk~Gvz
zXgrFgr$hBgoGXPP94Jv{l*RFZG^kI}i-~=vM;DU>ZN}xfkdp275*u}CaDP;WTfN_h
zve;slO!v5vU+5ttr(aUw>2&tV_%IWCf4gGh(<Uz(<ZW!dTqy+~gy#d=WSP-onpwNL
zm;g$qr@7emPzpRklAKbGvm!|i-v?GfLMTGwO``sNDTw9ylAT?_hTeV<5jUnHph3C{
z-I;hP;OK2VQAp-Mz1NdpTsbF-g47b#V%|wXVD6FThHg$Y@I9RR#IP8;`ee2<f<_t^
zWfjvW61h=Gwc?7Pj|5_8$X)F9lLphw3(5__yeRFI<eIXG6iOjZixAjkz`!%(Woslq
za#bum!a6OD^5$-f)sD#k`Q9Opj#@$Vv$X%h#z!K;!ZH<}P7`5ai{5>TR|JXLErk77
zCWl@gLJw4x<sj-leHdFi0llHv;|?lPKsMECe1tlAc=y9p_?d_pdJ`0A&Q+j<KI=xd
z&u1#aV(ZC4@epw&s-DZf)2WOsXM3)fUQ&iP<#y$dmn6^<oVEFes~}O6>A-*r6-Y{&
zV5+$wg`zc5V?v&&qSXeT|EiTpU`nd|K0hgq^v`d0SKE`&y~)cIssm(L759#!a3rGL
zPKzANSrQVicIT8XP=}$j4PzFKvgn}K**5_P$%vjPz%-ky33rpNU)1x-qqojpDILya
z6ege?ajae&TJ-4yHI67CpY*-~A2J!SHr?)d^-~v2W9;cxEEQ4k$ju?sG7{=?@~iCR
z!9X+AM$4H`2{pJ}`Q$pLidyn@l^!Mo#A9Wpf1WBKYTumSe=1dwobtK!O9=+xaQ1wr
z=#Ub+aU<iyh>0?K{JM=eblDIt@=b<|)GMJ5@rU12<rR=AAte1j86$XqW=OTdP6@3P
zeS2EqPegTO=h!n9MqnAsbLe)GBBI?1KdcigiIQvw&r@+5gX+UUfq_T`WMM7k8=obL
zOv*D}NgpzXCMVk#PfdBGE~DuDDNg_u={IHDnHvLN;$0K>0$CJr>g6+v1WvT)TajTW
zYYc9U)J8FDGN{wFtwX_LKN6Jrpyf4f1YhkkN=d^1_%FRJes@15O5b-yFgnTzq~Cco
zog_=5kA><q=cg9%x0C`b3H(N2ww<`MWh9Q2nH1=G>GQFz(_5Aw(+!~_gwO23aZxmM
zdsO_J%sj>~O0o;&GXyrF=FS_xg;A(D?F)hH8`!(UL$>Sj22kzbE?I3afZm1OB8AQD
zVP?mbn|&D#pzSS<<HRo>RK%q93m2yXi}3X#au|TMf3j%JdrnlFTc^smMGcY5H+QS3
z0jPO`CAC`E(52qqUITGj2tC4B|Na05)IKpm(~`{SFoTknbt5hC9@dJG64r-=bA2=i
zRrVo5^Vcd`S~@5@U-E54QxE>6%V%+w(x7yqV4=ZnS~%$7b*JdGE?BW#6Rmzpfe;tZ
z2itmDh)We;m5SDZV-98wx-?t3lu7lA_=~h~cb)l0(Fbif<L_1Jc4r0e!LqM>qoW0N
zwx_(WsI`H6qkb{r^gJGnHBDGQqk*}JNrh`iv>@5}Bu(Y^IDUEKEEi@#1B<tm67D_G
zguY$=%eLP><5M(Ng2Ri{Kn2NP%ojC)^?(HDVrM+|@a`M2M`hH2)yxi^HrD|94|vU;
zA05~oAJg@~IBHmEX<$EEs17{@I<a|+5zG=b{*4KzhQzxT!2?|CK+UYe!&5eiMXK;J
z9Y~`F4&qy%+z>UG<YeoL*O|j6f=vA~I;g=bg+V=Pl?<(R*VM@Nzp=L*c1IqF)4=66
zfgJ0LWN>})Y|Q7tGDiAhJ~Nw41J4E<7zd|F|8PqEJz=$qU89^aeyvOknQPC9jP4|8
zq-ihuFK8Y6@S5B7!#piG>I}c?o>v8`Ta$jY$$zkvxtnx)t#lxsK2f6JuL>g%9F7YW
zZ(&OoDqV)1^sr39G001;3T|IKGSXUhu);%SZAv=~kY+Jxm650d4;ZP>_Wjz!PN{iB
zBwI5=4c+3oPI(n5Q&%I8#Z!PX$9+-T4kqBJEmvx7QikFkgQ&liln^O6#TF2B0BW1n
z%gZk)!v$kBMYli&I;rH53&&XC2wNln2Nq@c`g{48FqsAlpZ7J)6|sUX^YdJfYf9j@
z6qxT3M+>(wm$BXsHpshUKr9<j1n~Ouotl;&UJh^U#xik0=7>94@sJ|4d#`YFB{Bf3
z9cN32D<{y*MpQJ^E5P@V(ETk&j6nNN^p*1n7v!60$flSpz?waSrz7WnAnnf1iU;t3
zQn}2X-5>IBXyC9gJ0mkFa+k&}lK7x}lcG5+P97ScQiTX{vcikW)$t@Q0jO@7j9{{q
zhl5I^F<e?~Fs##@fP{pgkmB3DN`gFKfu<J8{_Idsj=IukAp*CxMhY02<lzOq-%-O>
z4!9hAYRjve0J+x-%cof6f%}f}!V?`XQ0eu`dd4XR1sQ^;6IJCwByYu+wuu||V_XO9
zJjKDxB=TzeHF-ECBDPa-g%_T;_S5xrOMsbOba&~vJY-xc$@J0Uhu)x-%2F#ScwD$i
z?(<Usk}E0VoroZq-~+Zf!_uJqj+0VIQxPQFve{fEgkg?hv(wa%2;Oh1^NN*}K*{0T
zih(!*x}6s5Mmgo6+9_Y(U0E68x(~(+8H&Qsb6*xkE9JqXu0YjzMj2|py&2Z?5`%Jy
zi)#!=6`?S9^h<f23Uuq(^tok;L#2OcO4g_nq`acd2z##zDaBzqp`#LD&FmdQo1+Yl
z6L@dM7zv!SB-~Pkq(J(!w{*i{75GrRHmoeE24lpYh1aK~;dYGzX}v=Q>LUfLoFAxz
zP2jwCQLGG<=@(pzQ&9yM=Q7?YPEE*XiP9`ACqfc)VR7PlRnU2Q=#XZG76jVTY>s`D
z1>45OJ8#@o;bZ}YQ}hKL_;@5Mezi;vIE3A=uPds;bcL(sfP^00`0sV&^_%hlL;2+F
zDiu(8NbyGEt3LEo^v~LHD?pFmgN7+;6_|}lJj!JNVBoeH;&NR9x+&a+jX0DcWZx~;
zbQ%L-e*=}<=?c*1M0lAur~ns=9!n8R4B*0<g!{MeDFA12u>c!c4hDWt3W*yVLSak$
z<w|J<$bR8#)n*|Bk?G8?XDSSVThyqEB3d5w&-dJrF_eVj$4!yf=!{_9xs@IJhriY1
z?zWbK7~EG>_-~qI1b?duERV8f;i2qw?k`(mINzeL{ueWXk~hP`)1E|-;FNdsO67$B
z-CLid6^vl<c+7h%Mj4>T?tXfHoC7YlJInf07=eeKH08AzDL{cU=`wHt-hEVe(W*6s
zm|q13I~0;&9loa<Ktl_D*Ii;lJq+Pqrhq)fMR7<FJ6xtjzk@C2Jo5TXX9#ybxtdn@
zhyvZ!No_UHMXY1@#s*)S0emi=v^6myz^O{8s*(PRB|BNFb;=ol_Q4L`pP@p~$#YE1
zL*WsAQ{dC}(kg(@)9>!qXYzyb9ZJ2WgnnFXkEU$W7~pn$z)ssV4+w``D%qWyz=zpu
z>t~*0U`KI!KGlH>md!mzv;t@GHv7e}<vM+M@me-x@Gm={s#rqu`cHg?9=Eaip$8?(
zgqGx9R_IEzZjEpLg-3tIn}?Y7;O!gtAmg_OpxplbjYC$y@xFep{0)6wAYME_8zjvL
z2`8J*S@r+I<EiXEfArUZy|h{Ji6uH<zkR>h;>7~~m5*^<zEm52&u}r`;GhAE2j2&1
z7Uprjt3R}N*0n&kqQxiXJ|$f8y1$Y+GK;HU{IRwGT5#*BP69*J9@eR}ks+8ejbH!c
zXjc)Z2|xb3tDzacg{6tO3dCvuz^@peNMo4NfX4>D9y;6`*ca9}yEps3<5##Qe?I{Y
zp!{)hVsrm0CQ>pavwUM5uab`QlzFBOa|6ug(-)So&ZEb4_FepnJOA{h^`%h<tG|{)
z7RJ9YPrHu9E1U!Pe|O94^u5$zJqo1Z_#EbzFZz%1Zai?Z@QlL{843-w4hU>bVO7%%
z4f~`!an-T;fs`X;$kKBZ+7_6^LJFj{T#3y%&Ea^|iAWIXT{W9k@D1zP6u$BOem(vz
z$Nkxm76}X+yMqP|$1paL2E~%vDx4UQdM2?#6}-l$y1n{_F(!#s>-N;w_?7<OZ@;Ol
z0<keqE}3EwE9)q3xS$e-`^C_;WWD>>E4z-}ODOEa@{N2RS6ZcG1k=InS_2iZIUZg}
z+u4KV<c#)9)D&a!o@^X^ZOZWILv3WYeK+>mW3RfQ@GWLiq^X;JQW?Z|zBGPU@4_l!
zHbqdP4y)#-W^wOPg0}tZXBXVQV4<Rt*Bopcuvo|G?&xhr$kx2<YdhSD1rhK&EI!Rx
zlj+XG5E(^ay}bYXd~7Fn&nx@npQv{1b<UM91P2B9nf{bGbF&jWcHM#9exMU8oEywC
zcqk7KuLxM>KI_B`^OQS}ZggS(>2YbOQx1|XSPo>Zc4FpC%kNZ)z1R>_Ykd%h9OQpu
z<2V@b1v}GkkX`H7kNL7m-?Ma(g@VCwtvRVKjOPqT<H-0RCeyoHCXh>nx}x0RN~&%w
zgg-01!0#(Y$dP*XVN(Wdoi4?uGWK9%B7%|+G{&&&p=3s)wG6y_tk<uH^<wWHD|@E#
ze#6`f63mqIq#;In^Z7<*AGX~+V7yrN9m8z(&*O~J@Rs9va0ht+vvFuBAox#Wr&l$}
z@4cm<XdHJ8*c!w(j{mkDKRtyx7^y{b_e(+x-I;ca^<ga3|8lgk-wam2aP@APktDol
z%&I;oKZ^N&30>={ox=uindjdxlYq{*!C^Jl<JbyafkqlEV046AVYi495ZkKsGy30M
zd93wurBg0qOMBw|asPa1!>n7YRcQhfKXJ7B#{DJiuRoh<g@`!l60P<#4^LvEe0#17
zsw>!|bU*r^&&1%+VNBP#bP5Y&pIbY_w1#~XS$|5F5`#IjTu!^%87%2Bzg-pQ1}2-J
zyq#Pm3MF@Z7%BGVu;tE$*)zvBu|f6|&xm@Wz?P~($$eu1`)`O*{AlMkW;tN5L(xG1
z>vI@apwJ@5$9IZOC3X*sO^FXSa3jEk$1CGwSxXqdhwq4F8wKP#F}sOS5I`p34$FS)
z70mu#)9TkiD)360P^iL0z{$Dq^k3OE?3HuMDY6|6yj*@1^CVIj+~<f&^qL!(FRQ>3
zw+kJd(O{TCqeAc~)OY7@@FvDK{<raGE(3IN*suTy0h4#z%QJi1*zea`#?R%MprR#8
z^J<YGs7*!`D16+*ShL@6m#!XwhK_5BOp1aqH11m*KSu!rvZG0yp{&3y%v(ozF92sS
zk>aE@DrnrAwz1M+2UYwM<q>BAFfH=@dLx(yZn!aq3-fY9n}+7Ew?YEo?YdaL6+;Im
z8-4|SvfMyQw$Zg;<%iE&x<6C~8DPDn!<xd67wFb5jZDq)Lo^S?yXR+_VB5!t$@mXH
z&^?N8(xn%G-!X~1N^;C_Ix9T#NR1GLT^h#RtpDu~OO3wwlocLdJ2ZaSnE-QkGKar^
z7J!ZIN9%`e*x{aLcTFOr80^ii$<9Oz0vb6OAg{;?{%6NT@(0A>Zc(0fdXf;>VMxG9
ziyO>ZbdNn~mxMBV&6eX^!jSNHIAzqI7lOkZc}!-d;l;UwWDi#YOy6p2IXJ}+Pk9(F
z-I0}rQuzaSo<@nnB68BZ7cB&LxCTTSV&vgZ?1PHzEis6=%AQd}Ccx;=IvNpXCAcZ7
z^Th>8K-+{u{NeYaV6@C&H_@pKE!8^yS7)T4DRoI9<(xRU{gS`CC8P=_O{}ruw~6pF
zdJUrylmw=m>7(v$BxurA3H6AV2b~B0LQ1nzFqP5rB_fp!PM77M*Z<2Y^tn?f^Xg?l
zgyAK}%o{a`<E<|U6<39(gS^f!p2~tM<8N2L$LcU<PxdhiAcI+fSl=r@dFXo4dY`1F
z0ovY=u(Ev`AVY9sC?+Yw$e5+;qk9^_@MXfbxkC%6SP~=8wJCwzU-mOzt{RYj*tBD&
zQWsh+3tTQGDZ`VBmuivi>YzTbRy+3!gYUh=C2pcBuzXTr=R&0#_zcwr2^brI+wy8|
z^eq)IID7bWp*R^bPBiv$rx*f_hJI>uwhH`gC)Riht3rv^-6#DYjNqx@8s&+9J*M^e
zIAh@rB{2L#?ee(77!3Uce|edzK<U--1IIuXCX_Ib3U?FmxS;bPs!kd1P};|~bw~i;
zE2F8kE)%$NIiv6-tumOsA9raQ5r$tHCVX|9CQ#s6S#?TX5nQ;;9&MI#LK%nfc<^@<
zs9l{_cj5h~tM<^Tt{pn)m{+qGdTav4(xh*jABpgjmcEWyGmo8$&wK7EZUQ$hv_zb+
zmWHwjOS%fJIXuxh=eg5EW3W9dlVaU20TmJIBa62w5&3I-+vJiFJdRy@de~eHoKxvQ
zgPjp&yq=8UGc|(4XGb`^%0=KS>$1DQ2`hS=T9ZqWZV20Yy0^z^1wiCo@AjK?cC;Qg
zCzZHn01u>1jLVa`;gV{Af`bkx3L}57WwtW_<%hyOmjl>gw76CKp$Qj?>S%eaUkmUz
z(&dqv<pD4lRAn<5<3g3Ug6=N-t7So7uKJbQ(n0FE1$#>=Zsdw<200zWV4f!E=HZpU
zSjp8xW=}}m=$KHP_mR{3;P>cIsb1hJhVILX+6!=_Hy1`I-2?Q%)28ye@!?4<*{87U
z(E=CxFNm>EKT{X1N%eX^f8=4Cp)5-C6<mmgWuNwmK^-`;E8aL$JAz-%OsinJ%Y}4>
z6O}E5b$}|x=%HcV0<NVe@#^SNE;Q8>5&G3z8{+b%86G}Z!&|4_giJ_WsL9(@aH&}f
z4C3U*DPy<sd)`}*7bLh4{;j0yxuO=lY$p{RxkZ8Mh!2Cb<+xCa{1XqYG)-{NI$CPK
zPKB)I4_?+Y<w87!cSZzuP3Wslz}dBFkrp;VaJk8aa$Eea&BtoMf-z<&ca$Fe`nKVf
z(aMG5MaPV+xHO=MM$ab9Y#(}&Xt@{pj~|_uzo&(=)IqIi+TK`(2{Gjicik=LMm^(v
z4F>A!AmgBZyK7}XD!Jq$P+`M^-hP$^^hFI$8#y}8molS8U&|Ak47^Ay?YvispBi*s
zXlXdA!HR0P2Od%n@*?isywe9o)S$(TN#!Fa8;YPwKSJ@54>7j2WY>NngMq<Guewz>
zWPajqAWbtrVyisRb19k(azZ(Ap@ZxwJ3O4Bb6Nm-3XAepTajUeWY52^fdeTg9-pEm
z2%&p_+-1ZB$zZw{p2+f+6QMIx?V?wN(WB$^jEc)7a6gzcBwWdb=3#Tlb4Uc`z1C<8
z?jk|V^W6{k5I0IrhzYz>KtOz_PL9>qk|4ihOwp>32W3|!N2gpDMOLJrGsR{9@?qvn
zqU|Ox%9UQb*kU1uEZ2oP#j8kgD4<4zSC${u9e5f2RZbjTI@MbHyNLv}zt3ikc?h6i
zmxAxuvq_-Y!KZbr(<BJC7#NE!7euR%Uwn1ikw8IAN=+QxWZ1QERWD=_MmL2Xn-|VW
zqVKw6(Nf3A;GdKJ!}^*C>MkdK4jGg}al+ABYguH7NZ!h2@FSqW<SdWG25Cg!v3{LM
ztp*WgHEXw2MA7(!>VD2V85E<lJ*n@n1{+*`9tW32Q35`ko*70&%W<j8KAUQAHui*3
zQ<)g5@g4AUvX(`c=F&T|W7Xl6LzygZfH>m$IG?pmD~EPFty!HkG$3U6qU?&g1S-n-
zDmVO04h?5_{g?P#16(M(V(XVA(Cu^mrTPN$h>(zK`L03}+CSUAe*Qud4X_)sgk6?L
z8U|DQQlhlrs<-qBe{(5xTzKi4f3iFZ-rrhl@1YG&FK=(o|ByoTSIVgp<K<B?)w=st
za~)8m5t_>Ll1A4Y8guU)mq$5I&I=E!>Voo_jNS|5(uh^ovD#=x4w;^b<=Eub1J2WL
zM_F`aP}|77R;H00`fvHrgY^|X&`!x6oeYve#vKlQCKqK9F@t(*<fA^^I2G<vnl6LX
zf`{G?Iup?`11pQkPz;8=2kL%i${=<M3C5pFGDwDREVPFQ;N08ErH}VzP|eALf{K5-
zP;kgfygLhU$+H-Y&1Db;y*=T*ha|dpqHnh>6`+>Qz0rI{8Y!o_Ti8#DBZ{mG=lVVY
zOl5!UPPi$J-h>tapQ9MMLHg`iF$r+A!sl1Sf)r9u&j+V&0-|u`sqk3_NbA`&HaIAS
z*5*mhw_XXOI*v<T$x8qXYEkzO{U?dG1s?i%cL*T4Yx}>8PXM@$uRpnlBv7Y=S#rGu
zAKE`oazEAtpeuQ#xqVg~S&WELzbWBHc5><lX;}c7@d-huOyVe#zQy74ZBE3w`=UJT
zDu8)~7H74L7^1KL6zdklj!q<SYNYD|6z(^RtS}KpNs_ryVdJdGGHu@=zK4OT*iYxH
zZUm&&VjOm5mKg<ayAqs&FnI2KI4FWk1l_Mn?#+wak7`EuQN;by2feN^Jz*aq#C%-8
zQM!l`(P?aU-}(2q0}~vbQ$_`l8}++elREnlIczqRsaX#UVouxhy7HrYI|phd6&R3q
z*NDM;RXvE(b?{lE;zLu+vnOZ+>5<0$c*k$4y1>nDdu6DG2St7v)|%j=N4I)r$8OW=
zf_B>J>b?YSw22S+S8UOtIFYAKK0Z1iL0yr4EsP7f=X<?35}`-?!cOv?9npsK-f~xm
z9&w@|x5#e2V0v`)DCd!W^MCV<U%73F11(HT<{o2WKslwhJ;t~eR8F|F_Azjv+!@he
zjZX|nHY6*bN=*ws&&di~Ut&kphDQ<~<n2Q}$>%y83N;}s@6oK^92@fKa!j5nV?<KA
z`@7@hG+{B?{l}#cHe^a_9w`}TLNCmSWyARz@J!&2%PA5Yvf2I^A)s&oEm7vI`>JYy
zR*pBF%ML3NG+TX1nZk_z2LJ&7{}h;aJk|df$7MyKYwvN*%Qdfgt<Ske(~O1`GFqfT
zBBCW(Wu?+4315Y%jJn4z6{4i<Ey+xF{rvttkM|$vyx)(<dA^?SH4lv-uG|0&UYOdx
z>>%N+MB4QUeiE9E-i&qIW&p}sNr!K?kT4{nRsH)A30*E^kQBT1;m|MLguOi^q_(nm
zg}moS-*}vt4AzIqC)X!Wu=1maTegQG3gFCq%5<!VK1d9IKI1{>$G3!?*TWh?l%2lx
zyrNVO)C5ve>M!wQ>D>WouMQ!!EO9>}<f8|(O%7lD2KX`cA?GV&4iO~P9NRM_tOrMj
z9KTEL7C`NuHKr3Fil=;6cprb%g@a;8=ylx!I5x#oZJi*71xw!rn&NcfdUSPyU#K9)
zKiL^MJ0p%U;W1W|PP$+qHt|H7DulbY@$X3Ulf-LLxvCioy0CHO?)5+8Lin~@l*n9^
zLZc>U*&E9=_>vM?B337iC5J!PY`rIgkNnS>#&^?TVC-H@#&Z#53NGrsq{`u4^((b5
zA88=%H8!4GB#Ij@l&91PkTGsElWm}u2IYVEtfke9VVF*W=La@<y!QMqRcZD7iv~^*
z{w<C|uH@lAEArTKkfNmAOM^hU*OxeHl6c}1abN?BB90xjFJ5BP1xLEmmEem~m?dU#
z=O~vF#```lKm%PkziC3{>aaAPJdoHhAf$|6BNi&-&*%c(C0TOqK3P1-_9M7ZUIpto
zIxYO0bfL-Z=TqSma!4J#B5+KTf+V4_4~}#_NSN*Zx5t=_yRQn2v+AkhBksrMi^Y0C
zKUHMb!zGV7!yn2YYO3Kc2W8ozjr!nO+|SzfT^@5oh*ynbRID8ld}lbO4*|vszJgB`
z@YtdpGhmF0J2$J-(=rX<tfuDBN`xZX{Ef?8NLR-zeBC6alZJ3KKjqe4TP6HED(4-g
zuYn(0SrsfCjNtI#yUJUF%BZPser4lb4fIgy$hu)hhoAYMk8f^J#!Vt?)GJyv(0s)8
z%c6lX>^P-!vpPft_ik|eVz*k4e_+?{Z)5^9%ST3d1SlxNeUuV&Lj!l;?i$xMGlgdf
zJtJz#6m-<u(OE66fmt3Nvm=BV_;irpdMr>d)7&=4&qp0SWf;C_Y!0*k+{9fOswnij
zE`R%RDs~#Xht;YOz+YgU?RiKQzdC#)-dd<3d2jxsTPy(kBDZuz`>7(2g=<ArKLyd<
z|5J|#K>x44{w5n${C0d!>Y%F%CY(Oxb*>Pg<bLfFQ*Kp!8pZdrtw;&E%fiav&j2LH
zvc`6%Q;>hy{`00K1!M}b>AX^406$ZquUe9VGUm*$p2qSxE28H$$Y4O6Ko(^*X!Ra4
zYiNhg%Av0})%AuQ10u>!-eP^Fj5T8;Qv!FTvHJ_oWo%_Y-q4GK_Wep&Ze{&q$WH=y
zU%x%Q(~tq`^3Qz_t|+3XfgiyUEQ+5t-$->3VL+g*qwt#binz@4)Y$H=5Yj&V-Rt!O
z;C216_efH}ypnyv-ChD1(Koa%aCNR$>9%)#g7T<HNuKkwC85ruSf^V6z{F)c`#-{D
z{Gz+3{W3Q%#t$*b{Tcv0c(#O3S`OF8_BkToI^5R0Ydy7&0KbR~*N&YsXyduW6iZ)=
z=gCuQ1ylmwQ>ssFiIT##%$tUtuQ<?JT`jvP)*LQx5qlTbD1l)dPoo7lv17cGkw5i^
z8Mxo^Gr3L^$GV&0j@y6@uLjI`=UJOU`|*z34TYkZ&VPRs++@Z4d&J#{bW=!VO*nbS
zQ3T`f?L-GlR(!&E`RoCUDU=8Bb=GbW#>V|?yFMDQqIyn=>=zFcI2LGL9Q8{OM*|g=
z)ep1c2bO<73agCajB@P5$D;yh<ob#s+02TpT5k2Zs>X0Jp@5vsDS!`?(kQV<*zoJC
zRxXibI{4YCa)$vwnh4v8JyK`KzTY_?by?`}kHdiMeS?G>ImXM21vzld;)*!^gb_^K
zo9)wGN5b$)=f84NoLIzZp5!oO2q<!cnV_`+-Ry635teH)ZoJ6$zPllG+hy|oJIjYB
zw#@i#isHh`3$|UGIt?JcxSn)rg%@d1b>Co^8^cX*G5y>PAep^bUgSSsH0A2LU+lRa
zr585sqz&nVcvjn?jwoJ?mDsAsw#b7am0!~Fgg(Ugh<h7e<Hd$(mBFq&K0K~7U1i0p
z4=U!1?`n}3Ne_4%N(mC$M4xt_zM%&V*%4evCHe5{cwnoF5kKmMH?nc)>H+somk$p2
z`0&`?<tbT)0Fo<qU#n=*g&Bu8A38Q~z?r&-@!76|xUcU{*6G!~$4uYN>CQ_+^#;4H
z?khr=kWjGkqKYoa*<Ic_8BM|q|8c<RJ7KgPE81_@PJ?@{8*=p}_%UW%MZ>hLD7rbO
zXKhcVfkdj?^}TQS@z$yNw~}#Um=<-|Nz#P|2lPLZvV#PW_L&9&8zfM6_#5XYMH-|v
z7}XxP6h!GQ7ZV3^B=O*W%H8OB9WW-nCxn%RaN)U+sEWHZD(qHn&ui5IvmG)W%aXzv
z7EpL0TU{2PG|<{onL6Nfsd8fsMFg{aEFPCf%VDX!>@O(NfpNiBJ%Mea`1$feZ&EZF
z>8B11Rut=io6Q!v#*1Po-xsK5e_bB^O7tZ+*XV#B-@(_-&Elxr{7ZuKKLxCC-b)f2
z(1DW!yc53-C2{ibrZA@uipU&F{~IMp1Mklp1h7yF?>KBFTmDwUevR^~d1o3Z2Ik$~
zV<Cf;zph0ZkyUW<wrSY=Y#Iy>x0w46%A&(zF}APv6#SMcBIP8g3!+@cS2;h*;jQoY
zQpZA7@vc*|XGM}ObX;_suYXF$8}T->o)6S;GkIePpQ;{&1{m(MNtH*3r$5_Pfr=GJ
zp7nLK>OtG~8~@zSD_~LzJ@IUbI?6-wKj%C8Fih2|bUCVs-waC=V(x2TokWHKYls1;
zI=*J%-=&1^M#Ccf`!&%bgmNI)*AU>+&e5;N$~bB!W_M;*6Q?}iT+ljc1f`a-K`}xq
zs4X(-Z|kguvrn^69ge2M!+@%ehutb@{>l}KPibMy>1A_ro-vpTEcQ6xpy2J+en$x>
zEvy^nb|tl$K$+i^MYVw{uGtX9tQpqCd-iW{|79}+opWZYv=UWR@}6M})zQS_Dc*=h
zRdcwW!IjRCP{R@D4OKJR8o1{|*5&^!2(b8kJ(j*x4PT{7lPIH9d{a<i<DmfXC}C^0
z)e$w!j<|T&(OV6D6Q7Ob-2mXWXsCbUtcF%pm8=KZ6in;<_iFPJKxpT{mN6kUOiT<D
z&8$_%D-#iN1KSwzRoLv(NbV}9_*53oyi>%HV};&pt}vjDr=7D(QWbMHeJE@}dE_ym
z-)DKo055M6XVXCnp36U?uv99C6QRB%QWXq1af`LoBSi&0PKz3jM@!@D=of)Im<;It
zqvmn(u`+J{>5@{|B90$zOcXcgGGJ#6OJiAv66WoYo=f)@!B)=6Cu~s+keVvaEK5{G
z3yrN299smDzLWO+t1|-@uB95v1u0;PKkY8%3JDYM>K0H$8DLt}@WObfJT@=c%vWsT
zLGwaSu5C>KMPbEeg9c>$+`Y{`(v%Ci<Fwx&ya3QmrCj!rTII-G>aCwW>=;$*ZRo27
zu&!HVTZxbi(jSN_h*4QF(>a5CzJLJx{|LsVwNf~h%Z!cYVL_W<{(Cbl1kgX_m^2AX
z;GSREISr%B%mL3@i#2xU!294>Hjkwk9@CMciRUgdE4vdecc+;_*xcorq(l)^n2rm)
zZ@j>Kt7E-yV8j&ccJm&nXB9@riO*b;Ve?Fpyrp?Qx+&<qOysn?A&BqCWDc|Lm}hcF
zv;Gu|GlBg*!;Ad(0+{JqQ!|`5&)go8oDkV(4E}Dy?Uz;gu~w%xHSOdA(_8n{_GhNX
zK+DJe5+xEYnlOW;lNOmrhWu|gr_mvcziPVg5+6Qw24?u*C1zk;#UqgwBS@LrkQlqn
zgMmg)7We;KVUn+m?@sYDg6#M(vhTC?c(JS^cOv;8GttKOwrhhS6p|b={nOUrIR@QD
z_$v#F2BFnyGeb~+(R=V}DK{pMnozGSt--jLTjeJ64WM`>c&eX=8;AHbP6-&W;lJJ$
zN+ZPpEZ2pOm0sn-KC|{p<IC*mSY`mSnfhR$dXah8j0=-5TJF#p<G`PJ%~!^i^uha=
zQj(h}7j}<OAHO=Z79}=!#MtNRt?ph64{3?j`f*}~w8Di?+Wk!S=<9(ZT`hN;6&L;}
zpK2V+S%(ctmVec&b)n?6g2mI6Rn7&ki?$5p!9CS43V!X<g;J4+k^9zh<BTQ{=Un-a
z^Wg7K^^-KnTW&pB{fHX}TWm+}=#bFkKj!P@t2D@+8+dllYc-cdE%wWA;z!dfMT&Ja
z8XUJ<D4X559xt%$$!|F(u*w0O%rhN2kh@W7yR<zI&TlXI&BznPbH^m_2gT_C%d^q>
zr(wJ(@F4W-x;4URI$dl+wbX(AT3#8Kn)vWtU#5A3p9t=Yo6D12qXWaS$Hl*`zHe2$
z)OMw5QS7mJn$c6M4eNV%y?rxB!XVz)8L3I)7%;W7NA0>c$Q%ib$m!z8;Fwt3D0@k)
z*`zXA<EIT1;@6Y*w+rCeJN6b7HEAr|vZF1{P8<F;?jz@q3*vvDMwZ+ZWHH|%{dS>=
zHt0Un8+8{K#-M%soIl@{L*1;FT}Jxaz%O`qN`0>gz8icV9$K>MJ8|0CXH2zWzfVN`
z%a@`^|DHT+F(8kwR~!0&Zr6r>>M73vb#a_*)97@TRzzt$aZT>bYX5t5yOK&J@R3O6
zo2_0-sIV;S`~JB$6qj**8Q(93(l^d-;w@6fW=Srg7pwQMIn9G>lq`e2uWU{g@KBJE
z6JTBJqXQ2QwPrXh$Rf=wYQXuhDjH9lUcJ$)1DwJ?1tn(WR(;QKWvN;X2Sd)f@Sdi@
zo>1MxebZ!2w>IPs5?4pHvTr-1S98M7yhNJtqC9R<B^TJZYhYK-xk|C$y0C2ZDMgD@
z5y_9HKi0%+qRvE9mu{yX{QIYMpG!yyO|UcNUz!%iZd%m8(x(r*sO^PyvdXv%;JK)|
zHhTZenPsvXLfEf}x_(6!lrkLG<Ve;=(GNt^HWMTGw&U-RrVIt?hK6tQYPB(1VqnGK
z3LO?K-m*_|sG|MSa$R4GHpVtZmhla&=E>Zu5TVx9y?ywxo6`$zEc^sphBukQP^I}h
z?<;Efd0=dU-B%mC+>2GBa?L<1Vc|!o2o=wW9Zk8?tA$M?&DURZ5HO?vVei^7DoQww
zUtdhnM2--N$P>x{@>kP5oSsv0?!Ygu#!+>oB}Zw!E(7@2LbD1kq2hvMf9UT8HSA(K
z<{dX@K*|BD@mFzF49GZ=YxR+W(bnE2%Q*~)CLX*L(4b=Uqu%uJAZ6Un@|fKAmjRYm
z6EC;iQNtW=k-ZaKtDehl`7qna0{#=artzs$75(eCCeGg=qva==G{@Z*(6UjlD(Mde
z*J<Y|?C_OA<?4x7Ep8Ujf8hAv+hZzt;8haSyk8twuB1vT+gU)|(Jcz)tNe31vCY;u
zUl=L5(<de<7I4QJTBPHYFnMUh$^ZX1MAA$Dnol#JN`+oHWT}Wl>r9x(1$ptIR*%=_
zJO<cosF)b|EsxU=giUfbuSJU*k5ILJ3^?PxH^@GdjIXcVjB4^>MY_9_d<{DTa#{6{
zrtOi#@{Rs{pP9?dO<4y@?mY&$GcfM<h9-kq&6HAqn?FqJ=wo$XtycNPt!<H0FNq@4
zYN5Y2PciSD_jv47Nx=6YZRWEJ;@A?>swyY=lX>h!k#@(zs@E8EQ^wsyF(BNRnOr@{
zY>hSQb)=aCMS1zVn5Qr<pQVdbIQB6uldr$jJZc8UHU`<*@q$>TzkNQ_uZMa0QeaF-
zt|{zLiV+v?<HrU}^2xr}&3vF(cdz@G3GiQ{7_PXHaA;1AqrkL>xn0m}zFyA+)SpfS
zRdDiQ?5!ETE9ZKdp(8Q9f#-~&&YGDTb9+7ZdF@;<I@Zr*nhzKJZlXiIsesq3U~bfi
z)+!Vm9Arur4r^{xUaeo|T(U@8i=FGF59Qa4FhvxjIepI=!R{J~D?gVw&|&Vm@2|z5
zOlQM|3G;44u%0XL@wvs0_G~+Q9Rnwrrro7~@+=IYW^jvFh(8;i_|PFLmORBwR$1?J
zFUJ6?jbH0YoMy$j#HOgwOEb($a?jH_5d%1JVINP}vo$Donl)o{+$_^n;b3k?ls*K+
z_+`opt--ehAK$O+Ip)4MTU@R!>%r~?@2~9-SrGmRXbN^MFfU|^xaOYH13i^Gqy8N%
z7?|PWbzE(k>A^>}9h=q#)rMCBbs8*a#m;YXC-E=ypa-3ITc9q`pIx&HR$)Pt2)DM=
zu`Kxf<a73#1sV(=`8v9h!Ga?qPSyI|YcM`E`oi9eG<ZD9<JS|yg6c;Od2ipyhC<PS
z8shvkV6?kDwryfTHX|){*D7{QDqow*m7xPFS2<NDE!SX8O~WBc7fxiDzZy5E>wt8?
z==q4xYmnuk*!!F7xR5U@f8uM4HY~ll9L{-x6^-iV#QEE~F(k`tZ0@8sT-yledu-Uy
z(rPYY{^NR-Z?GbN6w!t=(%sW9^x5&3Rl$Mzp;e#bB+ko6Xu(u<WPP|92g-+61^y8t
zVZ#}_IFWWuIJ;L&EXaowNpB8pJYma^(pO_?3Kp8s(b;{J{A?{AD5oTG-4{SFfr~ui
z#Tt+&y=!)}6gS4Ss_Kre7ea<=1a(?Z14h;s4F7(*4o6<TwRK1p#tYRO65A@(!Q5?f
z{o%trh_*&TAs~t!$F2ryc&NjD^N0!=J3g#*c}}^_BaRenx?>`rI&>bSM09D9aBJ50
zj4#U)*knLF9&4mRv5-*3We0wAz8jq?At;UJ@hgTQkEzgiq(bd<i~yegz9~<@Q5LB>
z*`e=KsL*qdVJ6!xh;r;R2FvYoX#DQ)gZ8^rc;Xnz=(88bQ{&Ok^%UjNHqO|aw}uLj
z-bU7Pc8Or!dZ%XLRga-&9y+1F+K*+iNch7TF|=Wleos#+;vu`4%(S!Wa4EF+=9!%m
z_;axRllLiQOuv&oI4P<DpVLa;jWMLKrSQORQEm$Iy;qCb+NS}@n}dkgHZr)qHC;C`
zd(|_3OqMVAYJy8ew)7ukIeg4<PIb<aisW>8eL9~uc#}U`F!zy>-9m+ETvEptl4C;P
zdu;$mmoT|_c|2~&B2#})6F=RaDdNu60Xfej9@Vu9=*f~LW+$eNnlJVjHaw+4_z|}Q
zXVxm=nNgRtkY;Uc8`r-2?yD}G`z4SjxlI|@cUtwn57NP3LB9{QuI4wx&+4P6<5aNu
z>DZvpiVmKZ`7O2ah5^_&<u^IjP_WIoI%9Dk4X=Re#R!TK99AnW^B-5m5x6I8pFqR0
z+??rx7CJ<HD|f2=r-t>^FOL0jG@RTvsQ6!k3Ebg4!(B2-MYDmmR;9Ky%swUi?5DFC
z{PMEtOMkUG=dNAlYK=N*+6Mdn2ok_$<Kkp&uYpU=c30C#I%pnaSi|Z85HRxiy=k5X
zp1FK-_OFmO{y9@+7p}wr*98AZ>>o8SXfEHFrB(x(=U6|!ZDGK&yR`!;R|B8KsD5+i
zrlQdBlmg*n0Y;_lCp|Z6;Qa1U30GbURz6!Esrq68M=m9_<~&eG@|(Z+E{-eW^&KQF
zQ3XqY_hmP=-%wHYee}hOcVxV`_nqa8jU}9x5E4F@sfO#sMMb3or7@9Lw(zI3B~+M|
zivDm@MWd79-zxqSMXk?!6U59dfz@5cvu8#H=hv>>FZU2Yb$K7lhdh=r_4@A*7k_1R
z>sps*X1^YTg0u9@YAhh1<AH=$n<BpbVZpvhk`3j3*e}2FvjB3iH0{2z0*VCh5%71O
zXa3Ag4KG@|I+wQHzNx!pG|<?PUsUyjDHeF4gPO*GLm9Es#@uqqle@T*bL}H@u91-u
zr@{cS&S^Z)E{!tz?pl`%-xK?iGSU(X0h0f-Yx*Z4feu8g2c@u=$T#;Y+-3$48$Kg(
zY_BNRYdLy$2K*rC-3RK!lL)YGZPJ$dD1^SI_w6`}#tE4Z?pKGNnnPr6!yCWVoW1eF
zzC{1oN#eL(!GzQ&GdNYovt7rEgrA0YT<)uwBJQKb>8=G+FxXq{GkTo|dDkzT;~k$O
z&T{glgsYl@RPKmh0y{S@iua2=csND8c^r9@%fkfrEanEXG;yG{_^}61S0;(aGtE{m
zca7m)U2<06G%Nae39i{HJxRE8<~-NwrNejSXh-@%7Cb#sNAgx5C#(*R)mc&LU{bp@
z;$pkZ{E#crEjja((47mggis?OU7r4tu<Co`>*V&DW&a?GMSWA7n+)N#M`fwq_utIw
z-~1wPJ%@==$w1qu)YaU0Z6!v#af+#G)RDhmbC9Ta4*wb(YXBeDB=7p-FwQI>OQ`J;
z=_lyy);emF`jB=utGT)O2Xn5a);f;dON0pT>b7&y2ZaFN&+lFhGJ|6V-He`e5e7dQ
z=WA;9;HmRK@t2K#%o|drmoz=viSN1t+U`brU|f^RasF->Gt8~--lT6EvB!^SoXXP$
z$Ld?vv**7tk1Qvqs?>iWc9uIi?OM&xWr^=uMP<J*1Mlwg={ns)*ve%nAAPjyP0_}d
zQ?8$w?ea0lc~5*IS|t`z1eIv;^zHlGFReZ>LnMDtNuG^FW2K3sMz#)AHUHE)_qvv8
zJm%Y+?(>1TO)cfSudM^F<XBGTzY1nsfRIp0-#g-3tBQtwnKoG2GzR;8FJn$V=>HJh
zSVuVD=?zrcq75&<Qf2E~i<swt?inXvOPs41sSqyGg8OCrBUj?`m}=e!a<{is6Fvj8
zBh9P)a&nmdmdcvJ98x?P`S)8D0VnNgySX)iY}@ysE+LuuP@H={TdRs7=Nhd$YpMZl
zgO`)3Vn>+&xJt<$4VA>{<7;dsPN{>y`Ux(>JC}*bYw|I21(k$b7*%E6b1EpSZ~rb5
zagzws!nw|tN}{0S!m`RAHPCxIOFQ9^PJ}qVJab03iuk^g>g-^y22^T5%)XT@f}u0a
zR{61t&_eh39<i!${5#`ak53-4X8+IY-VdvZFOn)8Mx7LBcsS51;Z#6SI4FISc{N0}
zEMI1^E(MI<nw!u3d`_fVmj7;?sU-@GURal2Re?caiAe3}7eo!)v7;7&Z;41X3{V+Y
zhT<^wf3NjRh}p+gS?)UZ#98N=>~2S8DD1t7b4z7}kI$^EsOATPy>7{_wnPb}8*^Xw
z4!$9NCmwLt^KT$*3~Gy*N=k5${LC`%FA~?Rx$<bCO~l!_8{!4m6(K&)BwFclB~g8T
zSWSND6G65R%00)e2y7ND9}fFh6WS3EIB20QM3T_O*j0W)x8%WxWqWIhBCU~cTIOE}
zw)p&SyO!m_b3W%tM$lWLnBPO~wC-1e7W}77J5(N0HiW<AsH`VGT&oyacK=4$2J;?^
zSs{bH9(~Tp`XkXp>;AX*T|3dd671q|kqp_Stuyg#O@w{-BFE^dE~3vkQSlfL8C=9U
zuB1kNBC0es)7@Y65VB{Fc6`1m2c=o8U7u(z#I2=>jL|)P#NQX@Vkanau(5aRt{Uzy
z1ZyIu@@NbYFJ=Yy90`(z^?cFM{`_AFBSv6&mCn%WJ8$_;Ntb~@fx6}G_TPw$zE*cK
z{6`4=mEm!&&(hGXzwuz=YJWvDDr-l6j1txth4hxzOT+Pc<Ga5vcM*kO=z5VkzliN?
z!fyT9A_WrOe+@3x^$;VEG8<&}P7>a8_mdXlCBfrH%nq?reS{L_;qDIJY2r|jX2SY5
z35dKPY}4y7K(s}-NZC!y5TV95TFfaD;KzRW0?A{DkTb5*{LJx(*wiRlSQsu2AKcbw
zAAK@H*t|TX<GX8~=-80FKeb&9?)h$QKB)bZ5ZD?_em%NK*jmw!sS{#gAvaD?{{154
zTrWlI)~yh-tz@poY*7$v{1)MKb&}}d-gYJO3=2%%F0`7J6oqoO>qR}Ar-|U#rZPq5
ztZ;MxVgWr>1oX=vF;w+_69@Qxt{LdF!@$)tPfu|X2ntO~f4t)lQM}EeB+H8vX5H5I
z9C<7Z-m^Qc{GQJf`Q+33hD}`XXdBHt!CV-glm}=UI4=>YCot;y`SlRO64LF_F9iJ#
z(L%w*Ut+D52s0^y4?+*u?fsZ41fDP4v|hYnf!!7^YRe-eC~LcV3S5QY#lC*C#8_77
zc_y;09R*-BJ>zzXt`Jm82EVb6We4UY<&NS9AxJTC5E@qyf|tW7HH<1w*qr~Tzi)#m
z9D8yq=D4;H7<pR?`_j1~Gu!sHTcS8r&#x2iaT5Y5)mL=s-|K<L?Vc*fPAS-Bzs^VY
zg%D^N82v|H<O37mgnGhD7JkdWIFhnDmts{&uDvQhq-Pzek#Z-4p7kg8<E$d^>6yx6
zIIAG+m~D%$)>nX&EqUzAyrS?w00030{|uLRJk)<2$CZ&09nL)KaCgoQcjt_|x83HK
zJt|35Rw;xc4WfaljA#)_R76R<Nz-bZMbadaJ<9L?eLvoh_v7>Ve&3(x>-DOX+2rA~
zTn6f*iud@iC{WjGRW}qS4^fAc6i%&?gQV9<cV79^fNz%$t(dI{A{M&?Lr?)qyKh;x
zJfy=uz0CF#@k-!PIIY#PTL~ule3Zzb3kIJH{T4h_L7;VT=JY02NOt>vRqdNT?C7<3
z(%4M~`(dft3pQl91((!)-x-4Bf2n80vNa&~agB!dlsecH>#cR>8bQ%{YP<oH3g1E{
z*LyZ;Lh@qZ;MrnhNagQYG;yN?tD9}PzJv;rMH{8qf(&r*Sg4*9)Ptry3x*??wcucC
zTIP2<CgfbZ&tVi9g1}d&yyz?1aI`e0ecYV|2cE3%`73V>rVWzswJ+(yKLOQCA1S6V
z+CW+?f6D;jOV!c}C-tEsY5ZncmMM51<g}Z<G=-^sqLoZ-Lm-&`8I;X21$(<^V;!^R
zphFl^P5xsDRowl(d*w{wtFNclZ59_U9yn67KXWDIax%$Qf-G43hVt3n#0vJ9@CSVm
zG=kfyUy42b81P*0T<Y-(Yv9lH{I`^21dTV(Ybcr-gRX4f4J#pA*xBGbU&}NC+vZN<
z@d86wb2D~dF3AqmeYF|(zgEIX(#|7F$93RH%9CSTzuAHPg)@5h{8qxHKOYzL4^yCf
zObnX0*+azhdq?JT4PmCwb3{W*6<Th38uFj9hq7ZQECa0#U?EvfX7sr<s5=u={G;um
z<qMxi+N>^odRy(f*_a<*e6J38K(U9fjayD1*{2PB*JkSW)ji`*xCT9wF0_LqS<3AJ
zFKF=MSzvvW^IZKBT|0#$K|46n*}qsypup>=FKh@i!Z`dPvvRGAEo81tG#K<$hxb{P
z4T{SpQJ?ak$;n(B*ilq3VX#XTRE``gTMQ$j=<W{}Jw98*y(1;7eY_Q6@rn^AvQrkn
zol@ROTWJlN{4K$D=VhR2q~Zc6QXZR*t+jJIZUxKyzLoaTBq4mi!L99)3g}^5zU1mp
zfKbzB-wm3g@Z3L(?8B#sEC5+RroV<+(Pa++PQ-;W*RrJ${JJ8+nW2d0HgkbC1zhMG
zt0jrQo#sAyfBaRTp(0YJS><!395}l<m1Ar9jeB*dc|U8JB5sQAbHDc768LK036WkE
zaQg=zhFpK4fPeI@^t@**VBw(C?`_@#^?e%)wQ7<S@cjmd3Kq)(vfLw9`p=HlZ@*G2
zWVT8H*WILfB^)&e=h;fTqn)$$es+te_DU;Y6>G+_;-eYJzjT<}vX>9}Q$vKSN90j<
zcUQy_TQf-8tXm#@kstj<Om4J%kjL2iq6-6+Y!H9?Yqj!0AsjQ>s^|1s9ygzJRGZOf
z!$02!D^Gb5)MzPOIm@SjTZP<2mG78B|BXpktpj5CkP-Rp4NC#r^Deu*w=@Mwf7i1&
z?ucV}>)D~8;|loVXl6+JD;DhbP_kEfyaMM!E_;pqQNW2yr>)<GuwYOBVeyd<1U%Wi
z`2|ENV*jl0)GJ9A{N9w~#b}qrj1cmelne<i!dva1KV*V=%4B%seJPX`D=hfYOv1-k
zcI3R<!vrb2Rh*1V(s=S@|BPm?65gvlnoiMYLV8$S*V;rPn!7(zSbA6)V~U)G=Ke4s
z<mhC*d58>d?#$Se9j}6O6=DAsAOj4{zNz`S%VIafB)#j5D!yvvlpj6M0PSG~ojvw)
zXs$P(&)uYko`w?n!uuI8_KZY(X)cdH_CG&#Y)%c+JUqm%^WN)S=>^*hrV7}QXSKoW
z5*ZaYbZCBeXTWEPw-UvciYT5WxV>z>I(~EVzO=!E0p4#4<D%E{?s>-SH)n|k_LRD=
z+u_du2^-F1dp{+t4q8||bzcMBaOZ>i0}RL@|M)bPpp5y9>Yna>nrO{u*57%V0ru8S
zz+a+*-49l1kXBOgu2M*ZHjh`7BctV4yHv5?jU6#LL_srmT}4?UllPu?i8m*yp_t=*
zY~2+qwurt_>D$VLsiAjm@)R;|copIqy^)4ust*({@xH(DIy0BDM`U!Ucy_vXnuZzm
ze22L-79_tvBxL8Oj;9OKB7IV|@Nj(b!)^I2F#Bd1?X#$kX0(Kj7BY0a`e4K%P~8+L
z@gkcovNh25!IzS2$LN@`C#ZcrZ?EVq`<WR%O*9HkU)9=6NA1iBzX$8saLDOEO3VXI
z#PXRyf}A!QC!G5=GRlVi<7?%Pb1AqaO#hqCN^P8oQ~9qU+YG!jCNI3Jrl4N&(Um*2
zc>OOAyOlVY1F<6UhKxED?F7e*n&;>^;ZNJzGGz{7@~c0JAE2V}yIX;)is)#*rPgU#
zfdw@0z2|%L5fzKqEWY@pN5?CVMb=2IvxM-2#j7=^smR!v!~d9f-*l^hHMv8Ukgc?2
z?HrMYA=y>EPVF@8{V|@lE1m;~hpUA(lxUcf%#afOO~r=ZODmHExNzhpF-T%L4J#ly
zFLsK8*?R@5J@<1#>_=)u#UK?kZu;d4eAmP?!S&_OJGrnIC(mSFqvDx}-<Qw7(7-tl
zr)s(s0Mq;LyV{LZoXHs>?<r8n#jaT~Q9S@7r?pO1KPkv?&EM4=OGfX1QCVLs01oW?
zXce=Yf}cZOrp~#kVK4oi*bgg!s7l|RK3_HQ+^2tO(fd?TWqnuZF<!p`A5~#|gC<Ua
zB=w`45{hx>{QY_Jf4=eW`CF=i^y1>jL?1=87oR-mB?EBzMws6^ehrk$iq%<>B9E8l
zl+7!Cav}F-jYE-(IwpPlx_)j@7T*oI89u(i1(jKurUzHaSYkt7;}s@@>C*?UO;~fm
zJU3rcY+Ma@E!0n$Y7=o)bcYhRkH^*UwVoes)zD{el9sQGG%BAQgQUG2*gxyUiDjyy
zf_bQQwt*BD^jsWFS;7Gc^-;dgQDsc@yH`IPDT$5UK87DsEWzpi!1k7VN~lnGq4vXf
z0w%oj*fvP81k&%V@y{|ycytY4PyS&7c5agM?9Q}+HVc8$n!}2iZWKb~S`pAW)={Ee
z&H~Q-^!HKZ@j8UhX=xjofd3fN;iWm|5a)R4<HTio{NnqwJBnA2d6YA0reY2>sUzm|
zZ{+YWozj_YNx+9~w_K@L&ET+Cm2aA|93Dw<Tx{P<z{cjmT}!pi;MrZ>nfGzBnA|7q
z^|yh5VY`psaI9cM)`_IJx@j4-HT+xZNR>o?vb=LVmklC#$9~0e8BA?lag}>f5^YVQ
zNz-kn;In^>9bq7YkyZ?w(>hW(uJJ9A=w}LDI%DkQUqoDMb-)i^Na4cS$OeO178F<O
zD|Iyxabe*?epZY$K3C4u%+F*&%t)B^$PFSs3j1#j!Geg(YIp6dG-1Jsle)bddG)J`
zf@d8iWH9O6$k}IIOwiS^`gFFQh@-(3B+8f!hT8PsGCs-#g7Ei__1}s3IYoQ+0B;|T
z`FPtpn=oPI_m(I{iVRL);Ci@!m&1=*r|zcwWPtAE9%f;L46gZcC8lmc9&cwh@3k%B
z@pga3t4m!nXz9?ZSW8w!OQV{<e|9n8@HO98Pn~!?5Bw*z!JUNO6<@0)nGB#^50&cf
zmPIzPy3I3B2}c@pj!;Axu!bA3F*`~Qr(P0#E{-ds_0R#*!$A``WUo`xM3qNf_j30V
zPgTq`Sopj9xd{jlpWZ6{T^?I+EG2IZRKqfE%&&oJ6Bv|O@>uVI0tTE3xiqXr#>no^
z?X|Z|!0T|n*0qa@xU5dAul6??f1Kd7mQ|X-khbuT(M%HBsK%vrJygep2DA9!CKGu3
z@Z}@d93^aOJ0!uMs)3FJfB3HVn?PvBfWc^)G7hW1y;JO`iTw>fOC?1az^It}lle*o
zyYSXXACrR4c}-ppRt)e6i_hQ1r-rr6i2)xGDxTEjpLv(a0K5HR-Fx%YFzatjXh;VY
zdwK?TYWFZ;T`yDU6^D#kZPFj6^Ju6OqSutjVS@g#rcvf+GXCo!os9F;!WN@evB_IZ
zh|Bx1Q!QB?FJ3YGO&6l$z0-LUrbaAKod^|g(bqt|wtnyKi*!tVYU$X}z=Cv%h7A_4
zHPE1{sMuOv8>P;(={cKCA@z28s@Wb*bb3D=xI9@Kui5yH`YvOGaQ@lWO(GOD8V-yS
ze5sAO{GZe<YS?h5@pgzz76reIMn85P*Tz-N0<N9=%pmK5XwW@HD%LJfeNr>3jo&AO
z3Be}j5MUMBn{}FsFF)7RHZ^Kv;_Y+7O_Sy@5MAU-8l&Qc3A0K<kT#wt{Mg`e*8<qN
z-FmOMJf3eah3M~eG*$50wJXdLmOlN?%-m1Iz5(SvmIWPMJ|xTOsBysLV&$?c*)$w;
zICODrhZc6QsQ-O=#DVWdruQo^(@^8^OvsIJ-n^L;Tpf2VSOzgiWz%Tb6QAB!u$hX2
z<maMGI=Db^F1EStPs1%5{XryS9>2?i?j2GCXu;QIE7WK>lRi5)H>H6oOaIx_t_F}7
z|Hj$O(<!la|A<F!t0Ujkxa|D^fPKv|4x5~)h&v43f9xcq9VatwQxw3`B|n#Lcuv9o
zjeb2#Xlm$YpjG}e7GQa#=Y}pr3W^;FTK4mUGAbti8~nWwV1T^+!k=VKEPgWBvEnod
z$95hgS#1Ll<Btls-=TrOC%UyJ0u-<iL$3EY0EoL^T;r{*f!ob7;CHATM(&Q8{-^;E
zeBA5S%qDdtp640;5*Zx5^e}tmHy2usCS6ZmAfxeRfe{N55r^Y`ms~!@g&8-8OCNgF
z@Ta%y+5L@Dcqlt*se&38Hr*8E->IU8DzuWjx;(y(tO^?lE8&2}piO&Yiwgey=UWj~
zPQZgp#V)4lbD%(E+-^gVGF~c~`sej&1y*gi8f;Kz31M^0qI8lHs?Ai8Eb1ljYx9KT
zb8Sm_!CLWRdA}lVEp&KVFeZ+cr`svl3N7Hxq4~bj8U>7FTg@KaBaRoubDMfqEg<KI
zb3}KkJjQnmb-rhbW6`$uO&&b{)7xaXC0EPgqb%JvRgO3wFy{;ZC}R$G1ywn#dt@<y
zuG#1uCyvc;?{^S0%s}_>`Vn_|Sq$FlZy+@;j@#6~#wAIaL9@(H{jyLQtQnvDQ+i$k
zUj|Or-pphJwEoqR`bfl#J7M9vJ62$})_vho1vZ35o?oRAK*Vf`0kdm{1QZ>TS1Y<=
z3eIJx4g?4hQLHcFJsS!5g`S*GH!y_<=Y4KF)k&j|u4(O?t&&(3Q7iSho(1&Y<p&*4
zNu&1HxU+RcDU2<;QTW(}1tdD(nwR0yh_LkC(M~B`F*&q7YJ>^Xc0x<-L#5G3Q*+7p
zQfXZJ5>{)SV#1xk0yn*QY0N3|E9^)oqDqVW1brnFtZsk86@}8cQbl7SFi8gOhORlk
z>E`)Ww>hU{ebUHx)o$IhQ?huX<E`}J6b2aT-}YnZ6LEg#-DlH6IrLggn92nPG(J?a
zf1gIg%_8+Fd~Nc0{J&7~w7({Bugd6~&N3O?G3sTxRag<%l;WF?1`|k&^W86)E`vW4
zl&4R)knm&*OLgXy2|z)bikZGFp7Lz{FXN69UgKWuN$@j)*jLf#3qH!?(NF1hKI$r1
za$wm(Dd5d_+1;jmMGl?KTQ$?Js-ogqCkYpt35;{<oFezjV`T5q{>B_Ne3C9+vmkE*
zApv{RL$@m6(Jz*y>>x6lQ%+xPl`(<cQqdzfdH(5Nqj|(}8+DB8PyLXlVgf4%zJ}i0
zNy6m3PceyP4Lt6(!B*D91cJxIEI%hHVP#<0MH2x{94Skk(|0$4{!WJphbm<Z=C^Qr
z`$H2C$sDsUI&K1HlZij7##M0fMdEk!mlPy1Xs0<m{Zbh44s=mfLvQ^h^DUKBBx+4t
z<|!~hg!@b~>jm%Ja~g{wnKay7AbVg{3<GAIqq8Go$ViKrCms*d!a(22@{Az{WQPhr
zi`7%d*T43tiZSWDz4cH{3t<9P=QCyElRB!eFC2{?rQ<HgJ9_hrOnA-5)a^g3f%bEe
zTlg}xak`OB*S*4m%U^`I&f06@vb7nXGD$iZ<=#HO)Y%lK&MdI+{?Wu?J0)N0Q60QO
zdv~adzy^L-?X&C8Q818ItNZ?`4z7EXogLl9hOXUi!EO3H&fEFgTMX#n=XKj06iduN
zWbTJ7{XP|?s&)q5Y1hF$`A=uI$D6~s<J)J~8PQN?R3PQjDIGl1w!8j>s|BQ8-T%|}
zJPln+3->=#)IpuPB94!iCCs;<9d`f1^Ygy8ecPk7@p0X$u07+H5V;u6&{5Pvxyyrg
zM+)iKS;A8CyTgIWQ!z6G#=KmlzcjC{n5Ubii7zI6xiBX^rNLdPg(r@LIb|i%a5n!$
zjrTkkT9&`scw15n^}DhfGVG}MU#!c#5f|Xz+Royg?`YV9)((e$X<~lep1`+z0Y2Dn
zQuaJZLt@*Ldk+&eaEa$0ht?c`gNOb!X^GKr)i2}q9SZ7b;K;ArRsoPLH`PK-pklbH
z<`qJ@8XmlNJ#e;;rwh4rpS1@lxFfN;c`;W7zb*OqpraOGt3*-iK3<;u@20|r*f|o`
zpg+~244{6?j7MTP?|(fQ&f0ub0m)qvvH_U@igSXseAhKF-1_0CZYw!daghu^xEsKn
z<i9VzQyni!b5<NTl|ho8Sn`k!Kw0ia-B<y2jNNrGE;UFRQ)~LNBnbeVvs(rX4at}o
z<$H3nM-sngG(1i&<-!%i?**xw)zGr4sBrQ)0oR4@k4`e+g8D)CRi2uv=#C->n)@a2
zLIJ<frW+ivd1_=8lcS7U*4=)FD&pugL7ZBq&H;|axmVg6O8Bh4juX@<hVSmQ{e`oZ
zu&LwfNB0Iryu30jN9M68K3J%Ui4(Gf;OqKBoG1kp8s8S1t}Kc#Z};GAqy>-yTuS5Y
z<?&><S$4=H5&SyZCQ|jy9D0`S)7CbW!_xyc`^w8iP>H%$;kc(c6sF%5_+TQ7(_&S-
zg*rvhH^c3xa;q5xOnKF`yU5@dJ*_)KrlL6Qc;k<tjTyA3Bv6M^iMX@N>DZlSQB;0Z
zc>nGLHuwi9Ug-WJjUJt{gC|dj;Um`Ff>ah8`h5NEmE5G!nQm*4v~M|%y68=Qt1^YT
zpxnF_{ZjZm?N{Z&BjR|As39O?W(wOs?(1K2L<&XJpAaRgB=Cgh<=0G}PfOX5nPbY4
z!l^f&Vm5*V{HWe5d}kdCYM*>?oFhnK;#|?m@AU*Ut#6L6>1BfJp@ERIbCP&Zr7-MH
ziX`5?Iun|{hv(<rXN$M<>bu)+DV*Ofh5mk<U1P<V&{8cq)UiSe#ly;5>YSu;qB!?f
zLkR;+#m1(C&7|<RYOGMqIwBs=u1>FXWPnk={MVXjDfE5Y^NQsugDmk%#nL$wNZ4@w
zSV*fB)>#yNij9)R@^^y6BBdtq^Yq=Pb_{9k`0|tcwnz>qzqTGV^EUyR=HG_$x1}-a
zsDNYJPkD6vt(#e;VFJHedc9r%5wH8|z4{4?xGq|TAuwbNT>?#Uj)O#;tUX+iRzkwm
zubYMM)fmHO_tpQd=E~sfXEh)H(v*>~&qXmZ!x(Hg#lC+UAd6|-XOqnPD(I-=9sMW5
z7)VydgVlC&*!1`1yIFlT3{?s98uK%Tf)wZe?WXcrU^~&+Bud76@740{y^X<<a(cLo
zqk!>sUA;R;$+-Gb?!mWPj6u8cUZInRBKmYYZd~50j(Scxq~txu5Tp7%tM@1g-*e)#
zBil8w`_{4&uXJNrcIG&_<dG6)<#A)go@pX0XSUf2jbZhRq{b)GD){QA2ch~A1-;b`
zJ60|l!>M);lP`N!(K~*7RewDd)qfY{N;vZLYn$0~${sb;9l4^l<vtBJ9q<gi$jddR
zd!4TP>htn~?A*ECrCK;1a#lHBlL3EcKL6wJa?XLo7ftsv>1ea;@NSVC3=nNx_jmbS
zb+mVIE^!FaM*hHM7wv4BkbKzlL_-XZ8z#xj8-_ZlykY)$`zRBHOiXsnb2Kp_+~~GM
zmkyS%q(x#W3$$xiJ1t$*#H_FM+dF-AF`;@UF+186+9GOJw^mc|!hzw0dep@wYO&r%
zE^Hv}I<L7RfQr$CK&8+LU5qf?I$Fjy12J>AvDHE}EPwv`MDmm_{^Df4jHjBz$*mLR
zKY02VM_x5-`A8SprsIiWvKFBHp|)wegck1q(vV`{p^M|W^~&`EmcR`7)E^k8g`1WY
z<hNDoV9@o~?2W^gaI0gT>Qto`N`+-YMz=Qp63Zw3c*=oY?K9lGUM*ZRDsC#*O2^QN
z^M(FrxUlukQt$JFS~$JqmATLvEnHz5%t+$-=j)%ZS`RgA;l6Nxr2#`4Itae57~ygC
zsI{k20<UlT%!GaZ9SYjV@_*_m2Ux#+m6tYK3o}dn7f57HTsm|kp4|sPx#eq=(?G+m
za-EE`i98-Z2{6e02e4#8R&t|04ZX8&M+*H?!~2f|M5HCGVER%eU&3K3TKdHw-|#>M
zf8n!>ro4J}l;V7M0|l2%9cr9M5^`r;i&pSif!wY8zCph=@%n{>G~F3_JfWQ)_-ha#
zh3$DEKuVLRU%^>5yJWGsTG+vdr#msh_VNF8H1PGe`^Gk^L^L@{isCyBFu(7Nl7*Ez
z=FMJ@_EM0-CzZC#54i#u8Lph@cO~Pc&V?PnJPCNW*n2ok7NBsWh@Df28YWlEYwxWW
z#}fWe?2`ptc<pH@utY``)#OFq<vNPt)i`qU6(SdQJ(-XDzC{^BTs8_2d_?f3NlM_(
zcn;XEfW`27626!=))wnohM~EFD_(xJgxJq7D7{QYypXK2S+r3IZ(8QQ2w!IjYd*LI
zraqHLVLf;E9YR7_Cr5sA<+cS}=-a@tjFiJwr25ded4lL0{kJeo&H}7j-|LQpEQ+SF
ze-y<D;?--%D{se{g9?VVn9yag!yx59l}mycUGCf_{oM?>|6ZpP4T$);?uT*YoFJa_
zyOF5mVg`#@%Inu|lty8T!LY?dAvELLW66BPhF+)S#`R~U@K)Zh*Cbem+M<RMRSY&z
zj~-jtG9rn(y;k!KvM|a%{dw`z4O2LFN=@(Dc1a}JhBw}(is0)x_&rWBg^Nk`B;#oU
z-q@*B-ML;A-@XpukPBE4FRQ~MULl~{ymE3=rWo2a-LTA|vLKRW6yd#{fH(gY)vuac
zj-5~Zs!rczf^Jla5e*2aqAZ-(dr$(0)pPC{u$eHd0Bed@63~(Fzn;bw1RPM_AAkEf
z14vz;&QsY0<cmC6_i2=XXPl)~*Kc6}b?%L#fExkDyz9Cj_DSOA^LHezdHmlgc6y*L
ziGa)2By^AWNg<ceP}z}V0$(1|hQ?Y6_~xOppw*Z(rqx9^Y_>81@4-icu3C~<VJ<?5
zA<E!iqRn%o5o53pi|BuFP7+Op;A+AeS^Rdo=Kh1r#_*T<ghk}-U)(22E+<nCPtL8~
z5$0nI57}`>+sdWTX`2i=^^ZK39X_x2Muo@K*S9`4cuJ!SaeV_fKoLjsQ*;jgFoNu3
z=N@{<6A?RaM9z+q@IhDxNA{r+1no$-_8KDM7-qE@r77dh9={r|93%Mk%$B_HS_TKU
zjcF)3sG{Df$#bN`Mo{J$$qj3l#dY-4$81y7aC>A&8z;gDZq>LdzVDaAC(-jNL$PFh
znQ>dZexDKeo>~ZIFH=B$ffK`DqSSHIiOp^$2}VHrrurksS`oKfbN*T$)WC0|g*K{r
zMqm(b`oZoD3Hxu!%BQAiBInDMh*i&w;F0UG>c5jp$UfogI*~`g_z+gPtAH_lmfaUw
z60Cyj`3*xScsb&7@vw6EMq|)%NnG`LLKP)ego%W;&``LZyt=x=7+O>Jjd?#&!!MkS
z&XfIG7;({?twiVLmn^4yEm>rIW3Mt+IZVfT#olwi6(;bcN|LF*TOH}eH-l1!w9$L2
zrhR-P10MN`<+`oWz{}kH*OTvcaOXRlSDnk4kQ4p*(~PDj3T@p;=M?MWwzjh5q*qKR
z+8~-o|Er168K}bW&_fG_L+rLP77){xJLk1i@DYhE6WynWdv7f}b~n!y)Qo9MuVqnj
zm6qpFD^nj&N}rbw%4LJ~NrIW33k^N{it<w2_3=g4OA4!irz00t?mPUWVenJVMp+Ae
z^rt8nBvhC~r&f8{E*_t?{Z6og`t>l;FgWt(BMWFhIe9I4IUWBlQaaPE^-zF)&?&0j
z5;lwLzInZajs+=B;{w}su~A0t$oqB<xG0G)|96#+$s02Zf7$Bb*GGd26?I$~c}9Dm
z@PLjR1a?GfkI<15_&!5qEr3t@71f5DbnI?+f3Fazg>Aw?4DVtdCmnX=>&DRWTJWiP
ztr{wlPj8iFO!E9ZXS&9jOvnEL0096043~F2)&CdA?Y;Nj^BVVFd*6eKkjN+vRCXmI
zzCvkGQK)2;QAs~pSuNyq6cI8SL{XGTh>*?Czvpot=bXp;{dk?{>ljQ+0CiRg`!n@d
z6)Bbwd-ne0;rnXnDH$aFL`D&vZl8L2WRE3;e6#*_l~oNBpZJwaY?sH+QG3nUf-PZf
zu)}e}K^2K?jga;g89a4Hy&*T$5=^E<w{4A5!9Od%&buc|;!LEx!(kswFbz}t=zdKZ
zAMPqBHQOtOHH#lE&)ZmnuKe^5@mosB)|i^oa6}m6e%>uNk+B4O!ApskGZk^tw?kv8
zRREhRVsnjt0fa=z?+?AEfF(RfWBFtFP;+9kWWER>zBJ|d*30sko?@6#xWR=FyklLw
zd;zHCN&3te<nW6O{pst4?AZ9IZoiQPKt^8W&Rra`=sFPB&@|41O5-dwQt33H(WdhC
zWTo-SquMCjS|&{B>}?48YXS2{+73SUl6dE8{?kBiMzj`L=u5S?0LSdSjI-CpaXF>+
zz_a)C$ob-D+1`9}xbUP%iLxMygD3fqG||!HbDEvA{)!nenuJ#9M2nz~KjX8ii*y)s
zbFJUZ)eMY_mgo{?h4F-^>E~Pf>F~iTQ*XORrodN3q^123MEV1#?l*?hVPJZJ6g{^o
zIOOQ0Xl=ergiP3K`)fL!xh-SSf6N3_@3CgR>EuVX!_iU2cJz4g$_*CsJ7XBCY7n?K
z$A@k@{4AwQ^f*?MV`6Dy44<{$=|&pz;WB+d&!G+m?B<VMvV33!%aKC!x3zh(fq?eJ
zMn*Jf7ozMIF#<ia?Q5mVJgBz2+IQ{~6S^=R9Lh^H1n<)KrT3h<F|+Svqz^j_MhVBC
zF=R9Z7vb{{*~_^w=1D9q%9R!CHN37E#Th{3-szV&Ex7PhsX%ASb2dC%F<DVhZvX;+
z9MVZEoVcCu*nwgr4&*C15IuHLAC46WW&QlliK}eS(eoWAzJ0W#>yv;!P;O_FNDG|k
zf7y`h*+p)&t2N&7?4BNc%zG-At;>aejOP@z_wwRufm`wuLp|u)2r|~p<U+6Ke6!63
ze7NQLfmqIWx)4U@ZWdJHMyaEzcFSe__@;QeY%x?9N*;Cfe(2%Gxc;jLd)^3O+@6w8
zt)jZXx4^?}RL+AM(vttnS`fs*yOw^RU+Dl}P80q1a$Y>0;nA9GER3oy&ned<bfEL9
z(|q9(K5Q`l9~bjA5xoC!aJN522X>v<c5hsOALl>5aoe^bidPtVj7MguP;V6t)*bvv
zcD;WwDP9~!>PF5K)ly+e{D6;Kt^h6`ojyCIB#G?nla!;$RLHOu`?7XU5S7LLXW}s^
zh2kTT6$?RBa0#&L@{AQi=Ba%)p_MY2#U`1ow~GqJqxpVKSB3GqwnP@;B!{xvm4nJ#
zsi1Y~U`}DR2%0{;cc#!y9&^K(H^#S6Vee%#o`AoictC5mBFSF?YlPRViOo98{na++
zHsTl_!}T~fUJ(Vn_nR&rr-GG%{c%#21jen=?Z_!pLO<RA#^`gYpk9zSJ)$p#RS|re
z<=>R?a&?yLo<S=7=kF=~szVxE@;x@3#Z~cKQ%6Otjt&U<c=l$*$l{U6HL{+Y8ZOV!
zEGKU3Kzd+AZ)dI?j?!@kE2pZX$2S>0Mk!tJb|Dv*U6jX>t#)*4jU*fz^Zqeer3+Wm
zd_I{+D&SNN+q>jR4GfQL7LE7O0|P<#)ICQOvA!o*yOco-A8qTrLDJTTA-cdEmxD^!
z>7CqdzN&>zA_i)A_za+Rt6tr_n=+mf`=uDrt&JwGCg;9z7{XK2<P#BFRj@>|u4?E%
zGB%X?UKo-vf<6|Hk$4SNWX(z+-}j4*mC@xMS?0#j`_zBQi%|`4|6x*L=cZs_wfu7o
zHi7U{j}s=E)o_5aGv_%y1yycxA08<*1$pMLdnUuwk;9~_ttXF+k{2T!&y1MCUokBu
zV+Inkc)Td3OlV`qj<a9Xq%ELy(D)WzFbS6<Gjs~ZwD9A>naqDSG&r~+Tq0IQLNarS
z&{(D>e!O^OZcZDZDPUONx`Tv*`BK6=nKV$%%+0u_7$89uw*<c+p?x(aJxO03zrOD&
zTNkke`t$k@!)Hi%!K&^#r->@wS7^-C*yKXn9#aJm5fV0_<~0F%Wz5{;FPQXbGrvA_
z*YY`a{6*OQ$X`~#UGX(}2l_3+;?=(nvo~s(yyeeT{~kH?X!_mSJ7o!)IR&v5ld7ov
zt8CFJUK$Bzom}?K_`uuze|7UJD1Ev+RV+gsH?kH+tNSb=uEuYV?Wi&mh4%=xd13sj
zmU~9L+7d2AKX(ajQ9_UOqbZ+C1n|s%;ex~&OQ5WEBtV`bD*2m8&nEHW7RLn+YnmnO
zf9rSfNT>q-ycf~enZSXger$r|d4N8)wKSzI^7vNy+O1j}7L0dR`(J<lCU+Xr{;f#L
z;UK}Y<xLX<+V1-}w0j3Y-L{`hx0a;wc*2r_*ysi^75K8@!%rG425kt0zn8>-yJ1&u
zpIsqJPV*n;BGVw%-D>Pmt2nAMzs}n*TqN`k1q>ISw1BXtdSY%!6d&I|5>fwio~V%L
z9f_zjhaH+df>)$O(4jnBJLAY4L2_Qx=w>p9fyEo87o&wRIHtF->cK2wnebwvdZ!ue
zjhP8Qx*>q)UgkgDA3aO3?sj(mm}3gxU+f6sDdb1npOxNjU9&_~c#c-d9}{Q}8KFK6
z=fh@7zwTVh98tC<eE!l_6VPgxrCn>`!A9lB7kCQi32^#zC_B#>L}R}2Jss!5af(h>
z6Z-;@yzcUYe%%QEl>Z{C960fT*{Yt^!$m^yfp^bqZzCXOK0m4cn;luTua^49E)%n-
z;^+P}8^Z0~)UuM7Z20*b!4!XHm56d^*&nNG2r;{y6o)!lQT<;{AY1V|v2w3C=2*S~
zXmmK9Nabb42k}>DZl9*Zh^8|XLev1>eX7`BdzuBev`>2cS3{4PP~jYwst+bSc;<lw
z3l5Pq#0=RP@o8=1kE`7Jz+`dP;rlmcv>~_hTsgvoTlKedil*p+&ew{6Zk^0{m&Bo5
zGR%zZ?)N@R3hP0~-y8poelX*<SDJ@SLs*dy=QJPX>B0~GFNHEPESQ=kw`4BDj&(KC
zA>-P*@TR^$aweJuhy8v&<Lu=?yAx8mQ!jNuSn1@izpE^`;U#%?>timQ%3H7**{1{c
z=OR8lzr%`-`(LoNSMgx}YD^dXG8JHnJVEwn!|8|B&prq7;r$;9z2|bM@Hf%tMY0n+
zLO^D;Y6?HfL^$?WZKFbG5{uIQ1049yJcmB6MF7{k%|!mpQ^5RXot9rRCr%kY9(^b#
zgcIRs@8=a$;JwANZT$}}?5kID4?Qc4Chueitph0FJ}Hw_b&v;>mtB9~WfH~QG}n#e
znw#-`7r*&3@}a#PlhbOx7(R*i;Jr6P2AfHX69eOXD4if$uXa!Zn^V50d1aHKQ`Fu>
zbBrI;-Ao=9m`mX`xjEgjy<|92;LN^#RRH~K%W^ABWbjXsXU|SDdGp_goVC=1(8h<Y
zEJITcuOBBx%}J7BYp~0e)}z9Bh4bO11_ya8oems3r$~lI*W^E|ts>YY%Q;dNtAKfm
z)ay&OWVpN*Fn`Kg498T@@(<Q4;&}hV9fc`mU|PH=-OwYBgVweq3cSiFU7eb#u|fvd
zDUP6}3zGQS?a$)lqbe9cny)Iip+K}uxYpnfY23lNXKL<)Dh~GL-60iHAd0N8oI#OA
z^?XpZ*rJXH;#^|*<f#x6>3pK?rW{uI-tuaGOhRhD`5munD$FKa_@kREkMtT0T>mL*
z;+;j6(w~QQ;Mtde@2?&y;N?Phfw%EmSQykjBSqB(o4x;nBwIG;HX3z!`(7J+{4a}4
zOX&eU%Y?bw4<)onDO^q3<c09NXN;Fs^&wPh`l<+>3igcgW^-Pk;G==hT^vpZAiiJR
z&Q4Sny>3WTDZeQg6x2B5lx7IaS4W=uD5;@q>_XXn3KdN{m(r`JjexoB<e|Ot>exck
zvEJ)QMP0eoH{ZQXV9$Gl`fOGb8r*Q2V5U(qW#d|4ProVj=!!Ubbdk_#o^D&oI%N}S
zLv0g#%ptRzE&Xk{24-*NnA1q2;LeuZ3(#c&GmSP0#Zwv>5F@+Y=M5S6wI*i>Ndo9!
zl&VWG(nQ|&pmt^{ZG1Tv+V_tDD9&_Jra5XN)4TtUGKp(qw==M{I9ozkXbNS&mL_)i
zsGR%RsgCnhsdR^SOVFssU-ln0&@}Rp<~J8r6y<rYcv#a4-e<QQi?Pu_t-r6<U22rD
zaN*wxix4YF^K0H>f02aYIkiQS;tDwJ{<b?R!wT4QZX9jTQpbiQmF`M*S>&6wb70B0
z0%Gw{ZAiQtdJD35NXkl}&u$L#zced2b#U=`hV!P6NxSZ8oFa^Rg-qSl&HB>JyCTI{
zRFENuJMT^~KejvET30Z#0$~<^i4R3eNEy1W>v@9{3nLkB9-g*@vCJEEyKEFO?xod#
zSL~QEQOx(*f7zB`*cDiMa#$YSFZm{O(9z-N7Wk64$*+S!743HCHhqzN;>MEW0zvBU
z?JD~MU{%94)U{g%UHgpB)$f}otUtxjF-HKnJqtV9^;!}WIruWGrbmeKd+N4{+yHma
z^jY@r7Dr*X^0eCa&&2#!&4l3XG<alx=FkydQJgrfdg5(h7r~sod;7L13veAhrXDmc
zgzp^lb3e{C5Q7FUrc_JJA?WVU?_Qg_{&m(~`ag>*!h{kqC;i<FdJcTBuGZzpMHaQJ
zyuc#DLP~LOr;HgasGC>5)!;=v#_Z}#9*>B&N}-!sUZ!9|-a@`)&4nJ1Q#-ADpAkKB
zB7Fq~Ca|g@#j0M+jz3QqU6RRqMMPX%?OB>O2I{AY-b7DUytH%TrD;PuabrUG=mkq-
z5V2iz7x7@m3WME)yjAasD2DT6Dj7ylth)X3@=ZpxDw{nyalMa-c6pLjJ7Wk(-VyB{
zd<^Jx4SnoCe<kGebWJ3j4PllqfZ^CHI^=qk*xYRNoe;zNZi&YR(8N_5ZsxW@%$;2r
z9J%|G5On4EFGG4$cfC);jn1zTD}FDciWSERE8{emV~P5ZE>mdL#kNX}hAn?+shuQ_
zc{Ym0uINEt&cKbj!DXUGhxwtw<7q-<z}K`mL=R%W<@86aFA){KuSF&@{}N9-xBvV4
zOBb#(k2jegS|axQoqoHXI7bv}Y*@1T>%!W%e__JROT?U$w~%b|KjMzh)i%B{9XJpj
zeXVhLkvJ5YtC&%+NOY&3`S<6j4y>MX2<Ti`B<yvvru0896N|NPW^T_@!7J!!S*Ya_
zp%dP*NRwY9)LWka;5|o$8$X}aX1rJ;;;KK}`zCJ?ym!7B+6z!2I8^O_y+O;whkdU;
z5Af0B{czfv^8*Snj1H6p*{%@p2YT&1Lm04+xDc&nL4o?MrxjG)SBa97EhYEH7%}on
zG|^W@28K39wdk}pqTF3x`fUs|#tz2lJIrdsG0yK=0Zbdj=>K*r>r+^f{LSR+q=`06
z&KndHE_C?s(qrWy7IqA52ny#)(t?#}dY3;mdgSqW{al}s6SEb9eslcLgacd`LPc#E
z@Nco>!yFPfMuv)u`)<>O^207mUB?(Prov|UM;tHSsrFf{s?>l|cD?GwN+ui;x^rwR
zGe0JV9w@I=*MO0!?$9!E7Q7H5Vz1;UfEt<KLbjBUU|Sch-{n3l&Y6lS#g7Q0?25m6
zv?&Q52%Wo<=*EtDtx0-+<Arf&*mO<aCw0JgwW3rCCvqLUy@TFP6dg_DcunHf;nRah
z=AMS!$Z^cf%tlWf2jb~_B(2q<dWq$=M=&qW##T*kwUNZ^>0QD{gw(-NRbkC`f)Cqb
zz4~1?{c~jWc8;<YH7H7$bA4?lfKGR2{+*hZ#kRt0zP+1q8czo)ut*Rm4%b~**(#5F
zFJIofOH3U+vy&&r421DV4a@AuhYGm#MIe^jO&!YkDx3$ti{OiXwn$J>!eaizzt25U
z2ireHK|$rF8qVYM%IC^h!RVM-Ye@pH*~fz0?@OT0g8#PLhg5OEjQN?}DhVV$K5BM+
zE``2QpXBXj)Uj;6#KU|-1C-9+9=kFlgEnCenWbZ!`#5o0Ye`fK=ub9H{40<{ZG&UX
z%e9&~AO0wTDM1?&{hjDUzRTm{YnuU|RBhx^`g(qk3<cWq?YgbB714LOCS*d3g3F&8
zyu0N#?^(Jdq$d}Yuw$j`<1iZ)%^FE*84fz2EkzNzJ*<pvYm7~a-Be84v8(vaJzY3|
zVJGXPl`68oG2Kl$qk|m8DF!A*efX=A$#N)94V6AeR+zBq;vK#y`r%dsi2P4@Bw$({
zc@$*--an*^mcicH@i&d&?W67bTeLJ#Cexg!;({)^R}V><Mw`I5k12w74w{%Pdw#vs
zR~MDH-M!`-Y6j8$Uq9@y*23>DI|@rSbdY<5huI^@0-pTyRMutFM#{k=al@TD7<VMZ
z+ff7HymE~7y=&U2BE+2;=SIcgmx7=21uWsNVKS+`R~yGee5&-sDA-hH<M(;k5@Naz
z{!{*_jh=IQ`#3iH2wyFajo;)~#n^_;MuIjniANorT35$yyqSI7^47r5c156nQVWll
zSC4OvSHXh)r&44uT0>Zom2()k7XEyDT}fw20f%erUADZkhVfgBJy8=HIJaEH(6=aq
z`j>>9&-7Y@r1!x5`VA7!7!DTI?-4_z*dlh>W^3?@xwQQmk2*45bb4q80{HP7bJ|S0
zHE=J-Ymoy~aaZ({YRqBB`q(VLTnB5YSb1=6saP5B{EZGgra^}{TfFYFPFaC!qI@sk
zh$1HY{*HKec$yHlwYt+1X9Z?myNq3>6)?5tfo!pJE3qqC<L(!BE1*07Nzv$l90n(3
zP8gMaq2=r!BL`o#1Un5@F{|Cu$p3XwF)wk7cBFDq<PDD{#2z+&)gUQ>CrzZ>Ub)QE
zh|#MKzNr9e3&j@Mn|!1Tnv}A9xJ1LK$87XM0J?0}2|b2FXiF{J^(1YTc1lq<>byP;
zu2(t{S{eNKPKmknwC6f)mEk~dv7H6{IuxS1w4Vp#+DwaTw{6gD9~SLa3owVRq7S~C
zEVJV&OKtg=7dB{|#V<dSlFi`rqej-t3@m6iwX9-gvq7^t6Wwv6&J>b9JlvkMxo7v3
z7nXmkUZ*|OB<l#wngDZ2wHJTPI<Y)9QO7;GM&rznKVm{PfspjRI_u^|!mr?3;$OBk
zS}5}wi}VO%c&d{yQ&Tldl=3Qsc}uO*cpKW~9=$YzE6$w!4n9)^y^7qWN`n;|^G@E=
zLc&Jy?4#|(E5DzF``xhITZflveW4)|UdIeUxjn8`IDe4P>YuIYDPE#AH&33|X)}OZ
z8!6oG{O^d!v&H{)2rtnt3D#^g*ERq-qw9$$l4}WL!|Fuw2aB}4Q{ViI()Hofl4#qD
z=Y=#!Gb#HSuSJ??Wpva}27O4HC~vnCZ=pR^49!p3x=6bado4>Ke3PduwT{s$A87A9
z@07>xS)^UMcG)v!lbg3o$gK)VpK0<<M97D%McP~8(sBL6x=?xK!PXw_A=-Rp&Ye(>
zCEDP*JJKWHbfEtHvYVjS4_Zm_Qmw+~{LlCEPsbh70ayB{j2WL%+Sb^dFU>K_v~+6c
z(#+^4H>HQlzV8^PiGA5vJ07<}d-6C)UOAKsb|o1Fjw+M1{3AvGjz3+cy>7l2#<@;`
z3!S3%l}mqU?6}3|q~bd5g~FuVtz-&JsU3eG7&t?_I!&p#`FevE<FS<2sz8C_D)Bde
z2L94wLl?Emy6K>zZS0r+NixhH^b51|nxlQN-<cLPNDqS7hs>l(wBeL(3R(B>JgxX#
zh`T)}BY0mTyLyak!KAI%OUK&_v|-NWG~c~UFu`E`i-V#Cz5-1R=3Yy*to*{=QXR~o
z=f0tPAXXEOq;HT)tX61BvHeC$fviB4b}+j7P6HIY`<1-y)@VU1dv7IZv%@o+&#Ax3
z8gRmQWz;5mgQl3X&E&p3C-^V9wSK)xg1ur7Jgq0`pk_&E*kBtsC<b}@PB4+c&9^QJ
z4H)1X+t1g|cX(l5?ssNYtUA2%uCbrZW(2;}I7W&DKQQ&G&8*U?!;j(5I|mh*p|RJ|
zJoUT)&}MqaYE#s}=57#2Wg81<Uk@1R;1L4Pe*4>^8fs9`EwR1x78^X~n0}I4FAVl#
zFN(rGsDfIHTW<3W4)8O|`Id516fDoq9zS(e6@~)(&+Mz=0zammr>~}qgVG{3T5XRi
zT%p@#c~XEE1O?dz%^M}bE39C5pMffv+FzaH?cxKA@cUM3@-omFMfP;lRD~zI$L;HM
z1z_g8&F;qCav+dYq4~{J6-MK2PC7gh1l#nI`ow4QaGc7^Y!j#o1FRgnbsoYXn>PC0
zTUQadu2&CFK2wF^&_2f@Sy2cRjEmE2QG#ZMrziW!YLL|>TC<Zw9ImFd+3QBAz`5B5
zud4TIp!WH<qrQYBC<=~yCz-0jf7KSuO-1Uk@|L$*!$}%Kn3tDig-P&y>KMn5S`q}k
z8n4<YmW3As9Ywn98nAV?0_=D+A*WS+R9{3M?xvGdIj6PYFn8;9=Z9LrYb1Qy$6o=Q
zL=<;iA0k7xZFC!F8X5K}uU*~StO#enx+|amPJtFm3hW-IK&Ds8&3+wapn5ovhFdm$
zWID|JG}M7@X|jio6{r9&`Dw30rVjAA>hG$m(uLgXF_+E6)qtgv^xnWm7e3N!27lYH
z53OU&KUNdep{>05k9?c%=H7REEl)87<7b`%vm+$XJ?)sCC8h^%&d=zns>T4{Jzq*`
zYQp3Ru8eUdJ-B)PLRYYnDMYdj4qbHAf^A1HZ%B-8_H*xI>vlJX?YCa|f3egC3;KFy
zO%GjYvz95OouI+q6Bna}SG3`w=$=%&C>@|T$rLoL11NYu<hVbC4B@v$9n0;guvi%?
zs9S6aV0&3+B8v=N&t`Hbi^*_GQ26yqj1}}GPJ9_WK?XnOkK>1(HDUVr{KB-lHDujw
zI)+QyP)S#jo>iy@U$4)R@0VBu^DY&Uw-jyQ=t>C4|D*)3-yOerh+zw))-8&3NNd4f
z1&y{oHhBoEGT*sJV+*jU58TgsqXDKr$nkPD640aFmcEm;1&+yA+d0rkaE;$Hz<xv!
z{x^1PNt$U3sPnSK?oUz!S1-~Qt7uLjyFR=)Qg02*mZ3+BYg9nH?15kZGdhsyanW%)
zXbr9Ab&t#Ylwj}h(92AZDVj>R^7zP%6$CjQ*z;jl0phYF@|534(P{%V{8A&VfTAM4
zx-K9O{R(eiNi2*KO%H|3oaZbd-u7bWi_<c2=dN^Zu=hNXcjf|}+Hp%z^ItZrT9*I=
z@^Jh6;8o(VJ<bb`1H_+rr)cp=6mnA~l&CN1@MFQny?XutCsx(?9;6GwnUlc>$6^_<
zac@s(UndO=T3$uOKjVkyq*P<Cv`t^H>iR&c-vSmoG%BJsdElal?Uz~-6S{ru&sm)`
zhik!3kKTK-Lk^DtGyg#*bS#LxSHfuymt!wKzrw@}<9hpc9Noo)wQ{L?YdU6N^)uF7
zMvNYgpA#$85@y2E=F0o$51T^y4!4_n$}6;@nVU)RwT!s4Si0az_9lO;f5#vAG)G&_
za<^x2WyF%;UxW06#?Y^{{z~V>6pd9nvRQhZ0e`W{-+HHF3<?4ta)yuopdDaiX@8l(
zfcw*i9P=WK;ONqCR@3z!T22`}ZlW+?j?lmS-|dF5Y;}@sVp&IXXxx9#agrXdSU%ve
zQ#XX%YhFTEYU+rc^`;8?NRLU{*uO8y07%7B&svw>6OFUA+Kwgk*rGmkt?REoNEO<$
zT)Xs@XvknCN~`FR|IgV6K3@7j+^srl!a71UT(R~Y=%vSMR~_STU3ze*A@t?tfnP+J
zT3j%@1Ot9}`~ID<jUKqyP*YS7OcAH1t4Eci8BmtT*M6u$7eu_n9xCjZAr88lwsEa8
z;G%)dn2Mz?oU=Hz{e{acQNE-Tk)FedADb>ceb=Z1?Yp05E!fQy3K!VCOTC$pu|HMo
z)245iz8r1UXtF@eTQ>YUu#FkbTFo}7eN-r!ovBPBEfJoLfeXVsS@6`kb+h3>Dny$c
zSG1O2A%2!>{CISl6`L}?75&}hZ?4Nx!Sl*%#J)p4@ZSeE)c1Mmeln8+BcJ|GWSegg
zZ-1XH(Rbm%(d$aV@dgwa)d*<neM*N51$X{wtZ`z*27PI2B^e9^QuPPE(c|?V&&=N+
zxKXvsS$vS53?d8sWxZ02Xc-lHeAfUk?&}u0cYL2V_}`W_YzSt;qNF5?CN6%AHyYXb
zjnING2d~cG?qkNr?=NM~Zxg^W4T&RDWGzU)a%m&dn-yE4b~3%l5yX@4&#lCjXo6pY
z#{0<4yVvTcXI+4hFghGxlP)vRgczwArS}~i7`UHjBc((H{|^8F|Nj)1cRbZ^8^^O}
zIQHK2aE^11J-?TgQIROAjG~Mvjh}{+C@GbaRY*uXt07Y7YD<xom61)^E18ey-}|rY
z^?BW&@xJv-*!10ZZAd6?%xx;?N9Aw1hwTC-F~^fl%Hg;+xcEI|4Acvtn@LDUvZFM5
z33}C%474F9rTAEByb!iBpT-{AEQ@8HDSp-*+As>%%Ev#F@I(yjpR}{`Xz|DPoyRa4
zT-5|aeoKlVNk2aAMVKOfe{%P`{s<Yy9|+J(&WobR?#7J+&y=u~+MZ12(}s%FE{{+V
zalF5g#cxbN1$87}=d3tt!}eob<dD}Am}n}|=oP7ouldCOPCe0v@u6|yZ?RH%{?W`{
zF;;clA>y%%X{G~jF3q+OVKOM|wsDtqng+^?hweQ;rvoz&s-s4a%V7XsXYsVq!rDM(
zkuO6OXf#-++vO^tF<%19-Vrk9ygjjjA*Krg)=??GGm7|}o|bB!ql37+riKAD7;8x|
zZ&6pqmzOPWt+-Kf_Ez9~S4leL8ikiF`l;ZF^v?WGbGlf0(#MS~#(-=7W=UNSRPl2Y
z?>nn^G!#m<yKZ8v2g#gk9P_5tusUyh$@wF6yr`#g@b?*gc=<kc(2dZ*Egkz}P52mi
zQJS8mJ7EA-+a$c(Vl>fkXhh}pDF)UUKbDY*F#@ZZLb~KDE$n_X%jx=_ftOu#JkKyp
z;Qi&-g(GcbeBK{yUsTV)=%f6xul|~XjEk*l;xBEykyo7CbB}=se4S%&RhWYSTnQX2
z*TMN;8}3V(G4Rh8Z<X>iOL)kAqE<7Af+Z<&ekbGU_{rV&<&qA7OMy|cNjn7{!Zh=G
zZ_@DL?gQ`MF9WE2x~X<kn2I*WS?g6hsQ6`iCvQ}l6*%#@gtf3!kydapSX4y^Z6AIf
z>+-aQ<J-#Ggo`QIT;agdB&UUqH8$OX&DOB@N5vzG3<cjX!>059sG)1FubVi-2G|@A
zYPZ_x;EAEYG=oRV_`Y_%mUMs(^u3qR+Q87p-l(0=O{e5>CI3^D{V^NZ8me#qdQ=Mo
zV=MRze@UVdU*~d6pbh*8wcTAAt%+|O3cn1j6TuuFf%v~>Ht=y`ukiahbvzM}Iqe+7
zk9*&?)yMp`hNq`~8nWzA!_Xm#gU!f>(?S<(t!`Tbd9vxK=TjBD^fRk|_|_cL{r+PI
zaWiZ9cvZVRpH~^9LS}rJHwKv*)d4GezF7gjHM{pHP!Sc6>~3pZ^Pc%@srmMA4=b?q
z^Vmb&lS3uDhl3VZeh?wyu|INu0bFkXI5Blw8tawB1QlcZiAOgSwzUTW+-KVn@$91n
zwwXNV$l)6!OiT_xIonIXW}AJHyQIa?`{w)&>cL6klFd-h=z=9=jszur%NEAec&+=<
zcGJZ3e>V9cQkJmneY;h_O9)F2)%-kaK0{pHYP<Wpg$0C%8U&Q5^5Zk-D3{G~GX%fx
zp!4A%bGXApA(ysr<IPj+CcE8ch=hpAaQ_T5XtZf`c^$!l(&@3+2j5K-*$$Cn5sju`
zV{AooJ;sUwuiR7%C#Q%dch!n82~)`1Vj&WpxWaTHyUNwiPZFK3*2!buCZJz^HKgnN
zJTu#~vUO=>g7BQ-7SDKW3_|y6E*quKGIO%(mI_+O35RX$Q!;Cep{vXgg$5>>I?W9i
z+f&Dgj2Cjxr96!wDse`tc*7WTpRDZT%IhP<t*vEc>q-ovZer11<;D<Gc6pY)=h+`(
z!8m(-hqNKMNR@^SrS~$qEKglBW&2HB2+jT=6>R`sW1kbmiC@ffj|SEF&khnSn|t%@
zNA-bH*rVIo*32BKHdP2P9UwkjbKLOMTOZ`emJwalI;PFUF-xXKKe1qLGpt*$xB74S
z^F;D0m}ajdrTsSa5zPX&`;*t}L5WUK<gL7NCaIIy-gd8-u>4!`g87*Ni8Vc&)9?;c
zO}N{@!lakDkh+oMiai5*wLF-gZl@BIA1e0VD?P;Xy|j?-N;(ie?3VxHpAlbf>iY@)
z>me3{=Y6wX=};U1RzRu0UG#Hm7zrN_={^g!USj<YIlrQxG#J-8mFvv^nHZS!jS`OO
zCHfxZyqFK90l$Nc@|*YH2;WbnU~b_)qDsosw|Y_+vV_Ek2PA3<zwFN4E46)u@P(HO
zAEb0a=}tg8{dqmHJO1p1<NJOh{j+3U!8$5bkVFn&vTG!cdBhF8>>nT=EF33?9;ZMX
zyFht+eKR4J^+Pt#Vu*kd-rcQ5I&fg)v6@Z6KZ$`rLyfsFzlnUuN4Cvlt373XO7om>
z2jSrwU8H|ym=GL^b#c<u2HBy?>bBrt#H^m%eB|X(LdZ*_Tl^#$B1VHUPjqw<U6Ffc
z>h_EiY(8c&8kJhGYfxZ0C9sFs-?QOb%H0VfXV}6lNKOkpq~a!DtnDMTOchlg^Gy+9
zBzf+t|1@EH$H&l!x_&}G-D5x|ZJJ0ElHTu7uK{wWELw_R4H6CCkAK?XGE1D_qp#g)
zpaHUy?*f9We-mlO+s=9z%n`X|{GvxQ)geA!H)ut0gs3xoK6Ko9p4i5BURjS<9YPse
z-)XU91Uk%(yvSN4T6UzM^hq_Sc)Ry}n#=@2>095PLR}#^5<l&5m{J9P%iGp%Ns|QI
zhHQiEH7wB5S+}YCfGRxX^0&Oim?q@eKUUZ$u!4u^M=QBW6<}$<a_HXN46*4>`57*I
zb|?;N9JV~60=hKQU6=p-CAKQ_jq~epf~9@-t!!=;C@)#L%`G%f^cB9kI%drcNA0zJ
zUS=voKr4~!xo?qp_Cu2E<yBq?;O<%$F;xa%^t)umwn8-LZ*}dHUJDyaA5()mlwe=o
zXb9)n8korzC&C5<!R+zPhSYc^=xLNLaX!NeiZ{bV_ePT7#NXJ4r`Ad^Gu-vu#GD;^
z*0O$_pozdoZ?g-697+(We2%SEg%h%P-@9@Niovy(S{;W5MKERDNlY>4hJ0Q2<|tVS
z$YUD~aW7T`6~%OMay&28i_RB&cu7I}KXI?*Y(;36rH$VbT?;>Vs(-lrLk9SS^}C1e
zD8jaWDs^3lAn1H_<>9{|4|!^@Vm~kyVP~mNXMH#cs1+-5rLPsC-g}>y&8#Bm{beoE
zR~3QWeSQhU9?GyUszupxqY{+IX5A5;7lo$df#JrYs&Gr1RVJlU2{d-uJE<;+!>#@Q
zKJrYd!8WF+a>o&6NX%@%R-+{ajfY(d>!&mT&)l1Da#MjJ);%AD;$$Ft@X*-;Q8H|L
zWjIcRslu>T_ZL+Oc`#-%|F7Rw2k1W@#D1(-gOKjrE4TM4f=J4w%icUHbfmEJw!~=w
z<^3C*>pe;^`Ifs~IEDs%CPr-QZ)ySEqUK56K@|`;kPUzPlnxmJ)Ziz=IxrDabnv{0
z8aQbtUf9;gfc3QF+xIR|f!EoS>ij_+7FTlV<Vij7z7xgwj6#R^x4gd&pV9=gHW49<
zL4BwvUqAXuS`Yr%U2YIHCc}g5nq!Ft1~6UtyVc#s05T^t?^zFO1CRA3{{|yN*mUg+
z?}uz7h&F!L{_P9}oDHQX&x9GmCtfOXRofJj4kXizXQ{B|3`=LGlOeDeaJyF2m_xi$
zc<-1r4UR+7cPul2FPp!3>7FED?KzrtL>djM{@eY-?v*}d3qAc$iPsA59KCrnXqX1;
zT|?{@ob}*(b@k6%me$aBc<a3)q19ZRI*?FviVl@#>x2JpT-^yf-QU`=(4o5c^f{X{
zDh!>}5<RYC3k;{fQ8&wJaMgQIzm}H_y-zq?YHDpk@mad>fDH|#DuWxHG}Pd$T4f=-
zsU2L};(AlnP!}BhKi-gZQiL?e4i@GfJ2;~C;ZNdK3V8O#!I-lIEY#V2{O)N7;{HdK
z@vb(6a#l~e<gA7Gn14-*@^-+(dv!|sq81F?9(S;ISR$SZEuQx(w*{s017+SDG(af1
zd4;v8ieNDtF1c-K3)fHTbh|FAg0;R(*4<qb%rt@8C;s_1aK~~$pe<h+-1zOEtjMsS
zU;ZJjS`izty~2QqU`2SSDDFc`=fcf5Ckg}pvxa`IyB@OPvQT+|Q_3!kAHPVL9$RR#
z0vCy!{%>6*fkQ>+%z-XJ+&LCW{%L6iC7)bRec2}p-uJ#ML`jh_&#%Nv^fADxZ}024
zYJ@=N+{>QIS`v<Zs@u70C-7gcnHXB)1+iz{PT~f_xUn_q>QPeyhL=b`Ka8`(0!Q25
zx7&rWjiwj2Xl)6aKhG|m7+fZTlm&7qTZM7pszSz=?G_Ln6qF~(Izud~!%<NqVXR7%
zSQCBP93qy2ln)pU5?oEsIoNrHv4!uV%kCmGn8@uM$~jX*92T=pX=x^5$OX5WrcqNE
z{udonK(An`#C-W`@`!|=uH9a0G&BX_eH!z1?cL0NllkDqSQ36dx14k^&IFF$=e&E=
zca#~VxpVG97zvN~^7gcL8-sM!H8&35X{MJSomYDw3274LVS#qWFqeDSRZip|)9%Z)
zjZVi&C_s))yINobm4A8rG`*IXp=)DGA7+q{W8YDsK}91_-{5r??yte;TW+4e-bg~_
z#q-h%Hw?j%ktZ&8niWSB+m1|W2&1;v-7m`$hVb%Nrv0!fJB|;_=A67HjEM`6)Awc?
zfQe%xE_ZXFu=`r$G7%BHal_(*la>L<--_Qna*7K}T*jD+1tM7R**UFf)i<->9i6|C
zcyLf)ZbHgm6z?h3O+0hghnx(#`?_~{v0X0Z3csEhJ~2Fc`1G_M1P9lN8JY6qpq*r)
zudFzlQTG;aOxFV|A<?)S&1><)(sFy0q68koO}q9x>VfRjjKc*nf*5#=m$#Xa#Hy8T
zyf!Ngc$7jeeVrwQ;ykCLzMYW5>un4^tJe%LZ}AUkK2O4=IQi0&T4`jf>UlF6!+>t8
zU&YS|Vf<uqu)Wn*7Ikg;%IDk|pr}|?v-Ok+{?>N*;L;$6rv19yeALzV&4C+>FN-2+
z{D;WwX$AbQQYtYo%mAUDBmI<oF}!d=Qzk!G5&1ve-&?@O0Nvd&Y(G22QG6`^cWsgq
zj(21QP*_&)?EUVRtRjhT4t{GWOkCxT8!rD{;b%bMiOhF%$EDC^;Gw&Dh6?^sE%0X5
zV8GK4v-jP5r15u!Lik*PDrOsok}6#p@HMGhDZ@t=Z<|}(?E9*QJH~_RXsce7_B?dn
zZB!07z2Ni-8c|32zCC-Q+Zm8Da&U9R6$P~1ov>s?(nQBM^fODK2PYPk!pyT2QQ?)n
zAn0k~%Z+;%-<IludIB5U$|)tZYESk{cP3+G*FVQH2Yq;zwSM2+E@f1n<#LVl(#C*(
zbz0Qwj=gG@@RjVSf}iEjW*qR;!Jo`hEsIA6KpbyGdAceJWf`1aFr}bJz}wsBBMrg6
z<=&SLaW%Xh5ou#PPeH#ANg70e5t!@mxiUAahQ^e7N$~_K=IOp25B4*L??L+)&sC|T
zc7<WH>jV`?5-DBsVJ6VETX2y`(Lh1(RQCWWUEI3)^`VdprZ8{H!;`T=6Q{3_T<Te)
zi=?K(KL3Yi(C1<(IP*snf2>@U;LfGuZ*H4RdX+h-{<h9}b3hBX+jm&+T%w?N(7%Uv
ze=I=vh`lJ*YoXXBo!_cL6uf+G*TwrwmS9!BXM>w48C!oXnG|$rBWbf3+twulk}rF8
zWK+q=wexVc*8wu#`v@n099+$@njocCMKXq3W?F=P)x<~67B7N+09Y%2CvW|&g`8?T
z*Bx0_N6lUvWpNEF@GyMAEQr^_L)keYd17ivT;&v9x5o<3nz)C);nYHo7e!p7@+w$T
zH6&_~U<Cs@$8%46YobhbMIW!G5=tD9kRQ8a1y!!xL4Q{D;Z2q?^^K6nkN)poTHdpQ
z@0$+Als!{NL6e#HFMdel78|+8mr|{OSMslu>T5L=jC2fQhDqSgOp%)}j#|O9ryQj>
zpR3}@9tMxMrzoEO{{3*bqZN#an5SLLRY9G5JT_&iBy1B{FXb*|1+<qoeyW$0@o~pu
zinWgbx=PtdJ5~Wmyb*swJEDZu`O<Y8ta<Tr$))zTXaKML6Q&bBinx&4QBYCGiQB#y
zG|n&p-t^MB<nGEN>+I{wcuscwT7A<!{0#wpKe7`Qvt`kvaz^}I4GX?{V)Id1n1D{p
zx2bQQOC!U_u7pE*4Kjzq-WvN^!jj#C{`3J!)a7?lNN-wV@;(nOxbV~hGCS=ruQ!oE
zfqx2bi!BzJ8%I+kPP1FUi7?aT1CPb<+`hH`Bc2OPzaft`6c2M~zkfco%}Nw?Tax}d
z2`@0C%bQKTADaPJdT>(tKVckm_HD~{Szy{_G#K1tH-k^Puih8elW-SPI;?hSf%&*y
zT>PM~DFpK@9RF7>gpV4pM}Fd4V#Z_+i*TR`$l6&3FE<F{ZUOObpMA^BwY>=;$touB
zX#Bd`vZDa5cz*HA;$DNhhvHA##v4O%n`eghJU<HGlP<KIUxS6FmFviVjbK;a>2r6x
z`Ov4k&ulvvE4ph&6m47e*OcIR*tIo$xJ~AlWh#XY{n@uNJAN9%X`%THO;=u=<kmfR
zb00hMd<bX%>TU>6-^?-VYkAPfs?VnaIq<>hg-et=16co@dP*;f2M;~tvY}JBaB8dE
zZYg&I2$XkYXm961s)4%Yi6U<N6Z^F`uT>wc!`aFQym;_wr8QJI^WydlyX3Jw`p__W
zrM%|?4}NH<{quyAAE(Fu4ol7Ifrl(x+fW-1o|cl$lKHt7cgFO+bBWi3>Gh(1Vq1AJ
zGQry1wOSCpH*$4-P}2i<rr@dCX<ob+UUWThLI}Clm+eYEGGK83JCCN9eAqv&J@#O&
zFlq%YW`*rzz%3zt8|@r^>|3k!+RH)&gF`Z=>?Ih$;8pC9ELw~6??=dN(W0pAtaK>%
z3mpzg&aI>N3*h=SB})qJVt62uCu%;L4!q0tQZh<HNU1L`G}<JA13G7inr!G`w06-;
zvPTGYa+>q8O%i)IHCVLqukPi|7wqy%NyybP%p-AD8jC6p*<uF`gnX5FgYtyYS?~i(
zh`lVTPg;a~l+nPivrAp<o(PVt*_BbGA&=^Xmpv12)8LcAC5jhQ6h&O0y+>h1^eFpv
zH7bz?Bj%Ly;ZZRxw3D(pt*C_N+B>#wzD9#rO26nk3?-1R_pPwWTp7nkN5wpE(O_S!
z*elr-Ni;X(>DLNSL8qkK(VVYn(4ytz93~)*N*gPSw%t-i&b+wVp+OoLd^NFj%96qB
z7C(cY{8Gb5(siN_wdjy}R!q^%K@OcnuRVULt$}vTUrURTbdaJKEo|miK)0`oujnT=
z5ryu}r~Rfwd+ghoH3t;2Bp@fEu}TZ?#Ckta+Rp&z&DkEu{FKnYBGTSPMjJzA*F0Ox
zrw6%bBXcKxl+m@!ZBW`<2j!ba!_K|agJ%nwo7V4E!Em!12ji|#@XX$KW~RydpqzHJ
zy&^yry?doUeO%4?2!o}4MllAkmHU0CQ0Qv!ym&(AP142xe&>)2;tgTjOqZ+5es$~~
z%;r5rrs3Md-;_Q-HUhKdl-oXgHE>;{qkB^*4f*~%ITqYw40^`Jhf+3aqSy7^0g?$c
z)T}5G&{^e<<jbs&$Qu98=hlvb3p8|(p5ru*G=rlKL!36fT9|rkgQ)Cw8g6Vjd?NJ6
zDvyNA{N{@$Bh5E&Hg!=K*X$6CPSLc4xX!tgoC{=p^fh_s!XGN08DiN{xu1aaMZv2+
zPTKgGXOd&-90gl5)7g%@094SVY}bWo<6n_-&69Q7C~)GO45JyqYW>@OV{dItr#SrC
z(yoQK)kbOWH(G(Z*C%gF1#L7T#5NT^*TC4@5l^U3tbkMcHG{p7j6(wV_Ya1sVZ)@L
z`N?T3m^^U)LYpudRi#Sh?ZsC0j*K0zSGI<<OGi4=*K6U~w?Wq)pdzO4{P8ow*c$$M
zo2G5|(ZrW=`KhVPvN*hFTByv>8Z>Gbos``*kpHDd%G1}9=>3`XTDF2USepffU!|#|
z*v=>4U)GD_m$`YOe#Q!J2#r-7TTsQXYcDMFx{z@H67`gMxfR@1%}q#nrGjftJl{zi
z;Ky+OuW>*Bvx2li(|F}o6jG#f-3V9U!o`W(771!rV3n~Yp+`>%uU<MDJN1AS`JNsu
znqKXr9pN{<;ztzFv^UA3j$@e_@~@<H^J-sj%gS+SIxmO!cQXpk>CG|oFP5IYMgo|z
zQ*L#%kiiV|>w>l~rkKWG7r2l5uJ(Q^kHE076oz%KPh#CO&ira0<;Rn03Hwu||G4r?
zAls*&y)Besroxemp@*#&P<)3W^if+3ed+7`yq$)aN7Jv%<V#z?4=FjPBZoxr{!)JB
zy5<4q{(-Kp6)$tx5~3k<=NAdz>`Y>rN*!SKwjQ^!%rgUf2Z_V&{|Vv3R*@2x&4bLo
zjlKfk#!Vq0s`4^@w*Y>?5kB{(A!d@OuxuBYg1<87a)lB<I#d*%d%9+r8Gqy0y3}M7
z5MWz#onK=${|lL7mieR15t5Go^r$gd_@!N??&n7G_s)l&J>$%|_Wd}q!5D707C$$f
z;>3ml3*8;*lgx<2%NNe9@`%Nq-d2rb4y2StmU17PW^R<oew-+71RdHNZpqzaN2&sy
zHTuXbGx6NQ36bbk?kL_t^{Zw>wt<$lHJ9g@eJ+-#rX~zPfp^*JtSTFR$Xe*gcsI{{
zX&-!Fb*}+Dyi#xOd6yNh1<;bFg_oGjbybXv4t;RG9vvX)%8JiQoT>$*R+tUW=@hpe
z`cO!!=b<XIV%WywP!UcR%r9_dv2W9ZS>Y+k8xpK|R4V?6x)&=N-+0x1e3u^VQSu}u
z>at?_>;hHmGaGJEc)V%q_v+5C(LPZU$cn_Y>a(ruII#3%_+324fV5Lvj<LOCML$FH
z9=&!>JXa9&ZHAWt%&LsHUrgChr8L<;?g}?X@xKws&tA>FFKRl^>)23;Ty5*=#f!o4
zUSX{T9bD!7**{)b)yH91Ztn(utk(~Afp!{bY5Q9{`Ep=mMQwkkuK+gcS}vT9ra>p`
z=-u9}ocN7DdQ{X|2!FnLOpquv5Ig<j<>~!g7(91N;K>;hQnEt363TR;^Q`Vgm;2m!
zs3_rxNR=>J+3tT!($Iy&i3en=IC$~;WSzSkLlpmW`a6?$n+iW349XYB@!{bsT}x3<
z#qd+p#t<7#Dx?ULzDzOJ;(c4Q*rLr6Sj9(svztkQ7qXF1&MAmV3x<AUBq_XPo^>E5
zfC8}x(n$0eAq-pJ&!IgfjSgn!uZ}2F;Pv{8Wz?G_oR+dZqCO{!7N3(|ZJN}9{FXO~
z8DE5P%Z$;J?aB&xV@V+MY>N)GH1tcLuqbXc@qZg!s)%NH2HcukbzszqE3GbE4DTHI
zOmNL8;n=eWLjV2KfjvGcmnUY$ks>Aave`xjJF|~%8#1QAOOKfb-XuvZba8z`%~M6~
zAy+f4ObUb;axA`gmPSH#A@PxfI@XkL&W<BfL9C~Kc87*6F16UMmAs*Wuj2W|pY&0o
zq2BXhteiZWm{p9@)U|N_+j95edR^H2Z-!GzQW4p`Rr(K>k@0FnlfVB-8Wj7frq)rF
z@CdN(`Q@U6ajsWi=u_yx`Ak%Li>oq9X4U$(bx`o>GPXG^)8W*mnywS4RM6!mO=!hS
z7qcV{J?tkKV7k8JyGx-e`f|3I^6aAFvC{>&Ww`XA>qnhFOTQY9nN@{Itk7^E*d+2E
zVE`3_RJ|%G4Ltiv#*j0bjzv}H+e2>{f_|K4{IZ=Uis?l!Id#)<oh@b(BxAVvxygFo
zPYaJeWp&;y$v`ikUm3I6CO|Iz7VIBF#t@I6M!Vz~*fZ|(+1b_%e4AMMeLS?Wzix;#
z=MNp9eEsb-I%*D9cK>bpEvtjsd&2D^PScTVF{ABKiY4Uoc!|3{*FigxlIsIaH2fMd
z5_MSu;M_J*#S$qB{`WIx*UE@4#tt@HJXz(V2zVBG%a($~&VBBiKTxo`K863nX)A~~
zFuUx}prFM<<Ks#jZQR7tc$q0^4VwrLm#i)wJgD4$>v*&#a;NomFruwNt%XG2=%#~~
z7ZzU^+)%^JbrCr}4c1UUE?ZrFQ5)wzXJvoORmL9zY%gLsY(Oz_q2u9YGUmEnEaX3;
zfT3;QG7`jXAW$ZDQgu}y=R&jT<z6Y2=v4L{<go#+iuJ-TL^LtBO!QvUYf&`n3Nz;J
zv4-p8(}#}VS4TFdU4d^UgwTmJ5ifMt8X&R!#x1fM{(Tv@M~jUcugbY<`*^J08AN_Q
znxldP)TN9h78W#c;q}m8umY*1g-4-M%GfHC<KequmRYLSzvf`F6_f;KaZ4vFqRNi9
zl<Mdqrn=C!&iz_eV67%Ton$1BMcfd0{&NHKyRLBjSSdhNxw5;XzYO9ByG@M;bBXH7
zfx~i+0J$FE<5D7tLVDdhbQ9`{g|KU>^dbWGU$M7|GZ4oQIgaCjmpX}h%`!>xdQ12p
z00030{}h*ZJeBVo$BpCIdu8uqbB<#i^SO?dRZ&q1l_;Y~MiJSvN>Wr`Wn@K?Sw@}*
zQACJ{NQk1cCHv?1@Ab$1x~}WK@6Y@5$?|;p`rkM&)|UPE_~X1u<m>B*rr>o$XeIMg
zxEr~#!@3Ff${kZkj$khTF*!rHlM(aiPZ}q7z3?5A$en4VV1|o_a?Aj53F4Phnc1)p
zI75GK>uJRE*VqY%6n)UI)sJf&V#07<*VsLDrjYZ`*Ji4^^x&7aGaa4=k3I0nWx(B<
zME?1GLCHLNz$r3osdI%Md!K#tbl|md#6r8#?6H$BwEQ8bmFm)BBj)`2p5|YX-olyS
z>Sq*q{e5{{G<pX;OlUveN*zKzJPd2rrlUYDZu-|M_a-XxryG`e`jK3rc9U;TI>0Mp
zb-|18A9_CNp!@CeF62=~wYPtRHY_n68@dv{iq1CJ@DAIxAo7+UkQzyC(3?K~quyc}
z-R~qjXJ%f3cn#+a`6p;Wvw5V_t#ga$x8>4+r~8A^2>I00p?@`@Or2X_JbNB}xa1p4
zJ647E)vUkDJFf`^0sgJd8^6)Z$Ls9QceS8(<j)*!BV=HiW(hjkHH#kP`OuIs+llsi
zR~>zAPX@c0?HYBq85Dn>os(wfBRXLs-sbgD1B&KKwy%}^K>N#II4M{TqDA)Sg31qT
zfTDuIqhmSKXxqTUfP;^}poZCl^Fae7P@Qe%(3_e<cf*w~&@PRkoL?8e=Q@+%tga{D
zci$=0w1$4sN`3;pM2uY)|49UcJDKk-^rz6-JnQe_r@rsaSATUNkO-O{Q{h*Pr_iu^
zx^K>f)96i_zJMA$5pHT+{~Q-Nh2FIoD4W2|pvBJV8;)A)U?v#c9l1J%R-4gC*j)dG
z%EltW$Ihz3tOT*qA#)ln#Ph6*3eTaEe@3^>GE~9Y|7+R1fFCH*`SkN0-vzY3a4wy_
zR|PT*-Uyt%{uA9V;X<*PT|^hx9|=6*QUPS0b<wwW27UA?taUA78Fe<j6*_3I496E=
zpIRXNLV0v2%nNl^Q9eGl@P=$9cq{2&obm2A+Qe@8G?!-$CHrzwsEdkFZDyPQE_)75
z%GVBy6Ie${Qj?o*`xU{ow5ZzZ!~&}1r+e7iViUFd{Nc3P69xFGqxAe+#3CB!Wc|gi
zbQ`T()Qo(FQ-E!Yg?!icCA36lVB)154d(SSAo`!TJOmxHnDWwEL2K5|+_`?27IWmj
zAE+}#fHS{qU#`AgMa!R+$@&rKF@=Q8o0&EQ7`gF2{9Mc$8rRV_d3X$m6&K!^@NScX
zX12H|H+|Mo7Eg0U!xlVt`KM*gwz(YSxLA<O5;sv_jT>wE15DV-#Wxq4Kghxnp(e@1
z(QWj8n&70nI4kCA&StmYMHZBQWKXGU(_j+cwYwU!*s(l%=0gU5WgtAO{%zP}T8vIC
z@{|&h3p4j`=?uw`0ZU!al@X=A{x-QbBrCbG4+Z*t>?Shc!mwrX_A3sn;jlfwdy*GR
z`YlqYzab5^W^AUoMm$D%9=A(W<HtNiPba1}N&~(rt><Yc6L#It?2x&tAZGa5(qbW1
z8r0;zdkAx~V!cB1xzkQUm`h8xWoD2xR4efq(Im2Cci6QR>M#-P7|mS%L0@TLQ19%M
zlH$Tj0(&S{PU4ubaCe?XxHRk!w|f%ym>a{j7rS{qki?#^h;(=qO9K~gLElq^7b{&S
zJiQ?!jqUy$u7Xu*csaz;tHsEVnf@*f@amGmlz#c0Q*xI9Jv5Ccbxi=nm&l%V&XB_*
z53}bw(#XO~9rIT|d4#Y!`lm`Q5%QQ_1$ppymn@v+PAOV<6v1w4mD^x96frd^IgiOt
za`5k?#HaoqF>KXs+2mu9GS*?i%f~Mz4`R<pUt8))V#?{$|BilD#qLwm*SB9OK&UbQ
zLTIiO7XKvZ#5N}pb4?ht_b60?r<|9yVkBfRt_p2-NfHU8uQRwdwyFY2vBo`(&t<VE
z0fgqiRvOsg<NY_so~gr89=Yf8HU!MujL!Jm5i+(_<w@t{Ndl(c_B`Gtc?|dVbqfhJ
zv9OxWMNTa;;CEF!Hts88ixp!Eeso$GiMz$mjG_f=-$&&fb(FDRePU;)leDmVX;=El
zJ~|MpAI#d=q=MZ@zYv$vrG*`4E)#m&r3+?*hPHTRHB9<}+jeEG7WU=LPX}pB1ITWv
zKfUCpj=k$AOdU7V!W6_DaZkI9z+9n8GmJ>Y7G09_1HCjcMIB;-Yc7D>eJ1*vcp}y_
z9R5B~k&JzpTY1yeL4~_IZ`6-f6ESnG0SS{t5;l>M^8QMnG5Gy!lz|E&<{M)CEP|qr
zp*M{Kyvt2sCFyEeXc!R_kew`+m{r2^Yx6BBPNs0`Uf|1{f<)}0OVyp*P6VvIWMopI
z+Z2@E>dE!v)v;ltAG>U=Qdp#0l4};T85rhatrwD2v0FS<(bG?bu^*nfo1Zz%Ao8Sl
zOLUhqb~Q@iKYA}7EQ47~Om4~)wvWnoHVr9aMRlB~e=*~+hPTAscXv&}SV5*Ws!1L@
zZFn%1-hT-l4Zch0BbWl-wZHnwT{(>A-&>Cg*LR5O0hXJBc_vVuIMi|Pj0~m#joM2w
zD+p`g+k!wo6QF7;S+{6PVKfaXT-DOFFk=}Nc<H(^*gyV+#1X}@p|lN|8D~6bjE-t>
z{GbB!<(pm)<%Kb~0{@Wx8Z6-Q{8ZI1J1R(ruUgli5Wtp2x6Ywo*`Pq=jge0i0FTJf
zo0%>itcad^{?%g+AP^WfX>|ZhFDO3C;N-;WKUpG=3OOP6i3n1D4uNeUor{mTn6XD*
zro0opTyS#SL)rME5gf8rA>YWP$FgnGjiqI{AS7&T!ZXqkOv7s5rJmeIuOBIvF5~8c
ztY;qKLAeH?QEcI?7rcUYGI`{y4RONHI{caFZhd$vIrNZu_b2*m^6bT!P)=w+HGk(n
zMtw*yS}Cmb_=Hj}6nv@?<Ai{R2S&Or^<Zm5WKE>;1v2lvw&v5$0mF87Z%yv$LI9-)
z93{RW)RVGXClff}YE98e%^3=;$MoHpANhg2Pfa`7?ZyF4Q}tyVrW9y=@Y1<0Z2>v#
zIhsH{!vUWg9e=PE>3~Co<8o8S3PQ_B{fI?zK(4{brZsLI5U*KwHOv2p&<nZ_+jMdO
zEA!Xjb5YtrU!$D=m%N3H74$kv0VnJaJ`p9bt_21nyDO$~yNLOBkC3G?PPn3T@YHai
z7NA=})f9VLpqo2<?Un-<jGIOcrT^1}wEar~-2-&6zxw8edp{R&YcfBiMrs0$S=Ghm
z12{-ZbZ21o;s!5y9=&gznjlvG%ZY+9Kx~(?GxI(kSPcEyb|a4rim2ZCRt-i-Q*$a`
z`N{)?gTvKM2pQ-q5-yx6W&&NG`$`v4UbsDaoSODc11^*%wqI9ff!gRLQ>i*WC>KeP
zzZ9<luP*TMo7b^I&t$nkS2sWKCcJI3)X@OtTk8Q?j_kl?NlULoD+vD2%e@o+kf2T}
zQ$>$!Z_etHI>kf#V0SKFt+a#$o&{_4mcCqYI?2S=yG{s}q$_eQFO$Hu$67MjjT@Rm
zRhi38M4&=iZH3jC1exIvUg>%AfDya&wUl3?;BYx}zFuTc-%=YmXv2Bo(Z*}va~0yi
z8pgM5NJE07DzZ<c3i&{C;KG)SjU>>1x4eCKfe5n|Zj=ub{P2_cCC9~sQjqW|_`mT#
zL?|U%8M2WDA=lr<`oSq_u-K<&b8ejoM{3meKfS*XR*EJh2d>M&%ogoNBp(Ulvf?dO
z_=G{>28YC#Vp-_5;v9btB$#+WGHb~ffo68r><{B|(7O<>8yZdmrOJ78)dOO{l2T4l
z*yBNqSZ{aCM-rS_jzzPXC1Cbgrsf@Y1t8tz(mtcF0a1}5`v)&bg6BPE<<4S7@Z1;w
z<ZitNL^oFMPj!|8wH3a~)L%-lLG`TmKT3uvb}ZV@UK$*&TTUiOslc}r+^IN5O^Ca)
znBj3)2A0tCM5>u8gpi~|KKE%t|J}^F0Xtd1`?ukcgKBUn=6wHHofiCARacC*l>>v_
z3X(Ee9dr_FJM`+cfp+LJTZR<@p0Dmqip;9RIR{mDmOdSr2U1?XzC0Y3mcJLJNdzYM
z`IP;;6!^{+WBpoO0Vdw<<CQ-`1orGei9&rn2#F$e-k4K>l!Q)viwzMj-8}N<PLw{d
zPTqeNoUaHGv>Mt1;zX$Q^}l7*WdJrCL07npl%SyC-KDFE>JW5<=Jq#UBVY^QFcYm*
zf)N_-Pq-L0c%lA}z;+M;+KD?1+%(F-*wpP|qM{0xhY;s<T>!R$+vyHc%8=(%ZS^=&
z8HVP=a}r+zd~N=|n8K$F&bN{C+W+6P^?5lfbt+JQobu@TtON(k95BNN^6+w&EqE)5
z3LJ42*h?QJpstJ`+deM`t)(2o^}SROU?bA_eO83JEqD3?c^QZj>4K77Dj**><I;o_
zAq--g`DP^H>I2t_Eq-Ib+Vd4>wH3ha^0Uw9uZZpa%dyy=z5064khZ+GJf!*-#cQ1q
zf>#8&cxGB-XqZnyZix|qRcNtsCy5`B4@u*E!+YoZkG{!VmW6XmsOydx58Or<IZB^U
z;ghstN9`UW`3}+T_Nj3IB_SXq_cRsa3Ja8%V)owmnZOtFf0;m7f4}>4UMgtXQ+Zph
zrC>?DOZ)jP9QZjMO|(S;N_5VI)9#amgtR~!i#Zz5&wW~6?+(zWd+*KpFJkcfegq$Z
zZBOUCCpzCV0eqn?QZvaGfnE(Que<SU$Y6WB4(m|_LjR=1J&qQFr{nXVN|aX+g(>QL
z$~`0S{(VPQJV6jtb}n9F?p{Q?eFl2}4j6*1R{4&6B|lWXD8Ds&U;()k*0Y-<YzU%b
zqLG~Rd|-8xe1O6>k7R6itdh?d!0`_%bH>3u@bveQ-)<FiNNaFs(D4#|Xt`Ape}$hL
z6p|~)Ymd((?`(rvBi8jGwYSSXzmyZ|B@WfU^jJU+sWj%!TkAnsbzz^_Rd#Sp^E@nZ
zZ4v2cpH=J1)rDPp2{p<MR$z4R=~?PqLYha5BNTTi(1M_pph0E`BQ)@}o?Ahl%RXsl
zbfJKVPfmiOI}?1)vAlp+`isP#7NI}etOJ|++duBBFv9qPUwEm&KSaLvv6hCi4hWrZ
zW)WAy!|67`ACvMMh`+QstM`3vxauJF!oZOMPS~3(*E((?54$E7=~=X)$kTzTsul;~
z`?m5%OLveu2J369;aaeKDb+Q}3<s}Up3Ya?rhyl4;I#gRCd|*ouL*C`gH%<Wf%O+!
zi2Him{L@uUIJnV%kNYz{bi223kLb|D(NQ;#x0__3D%>BwGE5J1rzhgp3vsX{1!R$E
zG6)U5k1waeK>?fNwfm}gNEEm+KgL0ZD7)mKFiRX9!v_S?y=R0tC*LsTEDex&5beKG
ziG$?%{x9#NnBlHN1W80w140@v`rkkpAYRCbuJafx=;v?@^>>lrSMmeR?OzP=k@`DS
z-~c<2@qBYPE|36UFcjxoiwCV2ta7XFoDdzaPV37>f{X=eGm9cdm^x-Du=tS+j2(4P
z_tp}@1g}nKRLcbBsu$k^6Ax5n`tIU9i6HXow1e#*W*{(1CUzd>1rxg4#h3Q<M))8U
zx0tbl!kRZt^d9e0RzK2<RjY%BeXObI8#Z83ohv)0F8~8VE{UW1>ab8NW3$hT1ElON
z26cx7A?c?<f8a+oFh0|v)Gx{fr9GPzrgR|~DY`M|7orArO`MyTg}K4hL!U0vUj!1T
zwq+k{sX^{K%?Q0Z54`NP?^E#?1I2_H8xFi0+;S@FD>}&wN}XffCg~Dz@eMLAJEscS
zX%ejwIeg$CBGBAAx5o#q!Ltt*RAEEaeCQ#q0Em+<HPU6Jp;@7f62_$lUy<~O)1iWp
z<83r%bU_B(jQht7?bJXs?W2SwpAbAhGWl@wjVweR@!@<@qXwDU!Z|PB3IpxSp4v?n
z0@$?{)wh|dL;Sny@0A&%&}iy^NFi4q=%;87($NrMGdN#7C0ZQv^YR_>Qi_ln&>-a-
zM1=c!e8P-ok`NGQ&$yeX1aam8#y=TJP@g?^DdDIT2><haDx{zSju!^cCe@IjG&q{2
z+D962O*NbSxvF4A9(=A6qX9~(=oOn(8DQ!4I>pJR4xD#&)1)txp}1mQ)uC1v-a8gC
z#i$U0@^CH<zvqk0hvdANCiiq1*dv=8i6C~2+w9^CEl?|7{L;WI4<-MkYx%TEz;+mS
z^x=*+2+x(rF32kY|66irbP@@KXjGq4JSd=BbvNy(jv^#GoYmBQMFK<l1P1A!x{!+R
zOI#r;LE$rrGKRgrch7$0G`*q^u?`b&1K5?}(Ab~U?LFS(RIj;~vl+r~p4BYRR%Kvn
zX$cnQB>`RE@08g`Mo^IXqN2r41uXyj9`xRa2#ov(H7Ym(-1!MNET5@BO9`WIg_1hV
zGXLUv(hP9FsQm;_j|#A0jAYh*s?el)b(P>sg=jjw)^e>1oW6I_y|j9dlk_gbE;CfP
z9pfd}?V$ovXSSOK_bI@EnB4mGqs9>Y`hZH~s4{F8+~j!RAP4(*gqKrtjKOo{nm$fc
z8QMlNvYiv8!AQ@7EvMTU_)f77d{$6`h`4%{<y#WqTXf&DaLgD)wRhDRSruV(D(}^0
zD`6P$mlW&X%VqLs_R!oR4>O|nwxjO+@cPr;MWoCahS3(y2fhR_A(6%M|8YUN!~v1|
zKx3#!V^bLD<=_wJ>y=R{76`I&q8ch219~@P>rb)_XwQBaYVe?k)+;X-O8cnbx;+&-
zz$Xn3Ldy2Dv75-1yW1;IE>mIZlwpBGjwB3LhF4xNTSBJYr$m933c?24I}5(zupzpE
zc6Ur6k_@I+qS*ih*49|3IuWp~x+e8sdp{ED+YxO=2JqrLM5$5`f^TJM!&Z6Ek;Wo#
zuEt~pTvEL4T2TRTO$xI@4qzyQ;z$5(wGoU<m2^Fh;)83$?UAx8-RP+H;DLYN_Bh3#
zBl+<%53sVXoVP#Mk1nr1SboNB2(ii1+10nXz$R0DD^*|sbs^<PzTR&DM>cILEnc$2
zEk5Pf8d;yv=;36`;Ank7d8>(jc`VTJ+M-_adLMdhF{bL@8$F0h&Ovs+Gs5=QpdU=4
zJ!r$V=iTaTdXPV8#bpz~0EgJ8yaO}eqRplGa$CoBL7dm%w(bFXXzScxZE&_8z0v%k
zT&;ux|9DDY`*_j9f<>AMA4djCIY)hchmHbE3kM`PZ|)*41x*4(hH|7$xYKpXMF$2W
zk8k+D+Cs2Cd7H=Z2GQQ(IVpr`!%0K%o3z<L;`<*2bPDz$sRd1U2IRCMv5n699sEOV
z-^WN#2oE3;YyR_FDOwP4#s8ar(qF`GnP>OC^a!#M8+PmLjwUQNX7UQkt|E39Tn~N~
z7)Kt7c2`ba(uAY7R@6=U6-3P%mX^i8BkRQeTdqIIKpQm8VK2Lkd>))3I;;FZtZ>b9
z4QI%J>$E9x3|~Sv>thr}O=c1CQ$2r&$27p=fO|ilYYDNd%j-lu{vgMjqDS)2Xn?tp
zQVsXVMWmryU}MO30a0&Rsb>B`0>?AQqJB0lA_B#>hMb#=NQUL%ldHZY*a=a&oHw$F
zIJRz9o~>C%6cufq9k+<^DWIo;R&ohZxUEWUjax;2-U{MYO(yQ;Cg0x<iA%`4!(YyN
zTv|gIG=;0(B#3Y_kvg6%yu6pGYfau=Sx4@UZ5~?lRtKc)zk0!*Wn|k@FXCy=CNgtU
zKVmFP4OAQD`xlB=5Yv?)bBX0`r1npVU+l0dJWMGaPAyqQ7L&>)+bJ|aU;ig!Rb<cq
zs+G$xe*BAMYrKhYOQnU{s4QD^Hx+=>BgWy<|ByG{e;cpj>ESYW^VNry%3v0`nl6{Q
zj%e#I7uf%YgV7a}JJKx50Dr7Z%#AmZR&ynxgd=zeyngJtgohH4HI)_{1h<i>i>A8Y
zHJHFn#L#BCOA)dvZ4<sp>>@c~e0mXvEO5Ex;^er#B7{bXbsCq^z&G<?_vR~X5MLG~
z@}NQi)_-=V(EO$ab&ATk%QOevGuHo5p`ifWjZ=;HEa<_*XW)&>TQ1NoKDDyhAP-gQ
zx!20y;-EoznLbL7XHOs(ANd@X2mA+IzWD__SZ^%RY<2TOW4pYt-U<Pb!740CmkDUs
zzOBV3^23)e6yMG#1kl=dJ#t-x1(MqYk4s(@gmgJ6!%<fPF!(hY?RR1WZOfupA47!T
zjLi|D5HbOxM>np!)pCIJBJHJ&8WB)ycXH(0M}TaJ0t1~wE@&M8Fk>Vm4n@YpvbT8&
zurI=yw}+DlhVD*k=be#+ZQU5#qlyH`vO-fI-RA}7;2+%%ol>B!{Kn1EnE)pvvB#Ar
z{Ge{f|MB2nZX22|@-eI;z~_&bc<6ZrA#l|A;GI3c|LIS2iy2uStd+(U448!A8ZKGh
zrHlZHxT+DKZ}M<UG3alhtOz)KTWc7PR)FgtBP`E0E5Hdf2G%^pKs?^$+MkO`FsOk#
zdwx>{_tmd<44))mt9{b<-X1r?7au&+HC6^kSJRC)vK0Jzu5s=C1vRJ;-Q2C2SAkZ>
z1Kz)GNyEq=cGFM_5z2axq+MT71CydGqr!C=cyx%f+*XqW-A@EZp5zl@qFCt5olA0%
z@8KcLFRcNTjCqGRIt|!)MNjxUM}RqlP6y9_8qn7)a&RYw4Cfzt=w<mRK(keacI-1U
zoCpuCmpq^a?|zVLJANpFqohw#mWC#<ll=EPYU_X@u5DYvP8s%{(+JACt_c!NewLq2
zbwQ)<D}^mv1(s8e91)GxgyADseo6W0gUzMD()M?%;K8rsoo%2AMj1P{%z1_|8ShGW
z1XY8(47{amS!B3>cB)AD69QkK;I7hNRfil=xxe3wHQ<A)sA$h$0CAer?{EK92f27#
zlA#+3TInrbJ^W1ti-seGkvJk0lSwOd#p<xOxOvv4*%&tCern$CR|k$|O6li)Dxjf7
zJ3+o=0+|;6%0w%57_N-%anM%)xdgPbX2Apm;**s=?d@Hpfc8|kzARk%jS&*5rtmQ2
zX$ILu6$~B~oRTn=gs?*Mg^OoRA!a7IPJU1s2vyow4VU+UjoaXj$rGkv>4X3FQBw(I
zM;^a0SmB0+9Z8pPB~w`1HzJzusQ^cKJ>MPhWCVhHU<%iW31HJ%=eVN@(8p}`HcWLL
zIrza(^nIWSAOi1&&2PzqLcV^;(O+K>I|0hM^c`b(k~aBaK3y7?$hM0KF=MF6W=mCS
zs4<w`ZAca>lmtf>5#heVWwcG+T&;J73M-F$W(RJHLBZ*ao4Ms%==!73K`U=6?0?0H
zKd>$Y?>PK)yI;^^vAY%=(-Q!8UhCG;4+MbIk;R^$1Bd-^wD!+(1_)1hnWYoJ3%uSN
z>qoO0FgV*F>|Kk%(e3E@OUYco)3Y)C`3@diyO3XB(qshbZim-5T3Nw{Ao%zJD<dYI
z>hv|S-w?*%yvrE;gNGQ-b5pd+j2N>^vjD@A0VKyZPR}RN!CFq@DOol~thGN{zEQ{k
zKE%{d7m>G-IeY_?Mk^jG=PP4Yu-1nfuIaw}5`Ph|DW7ys4?Gt4H^l96tRBRy#?u_X
zH;)AOPWUd<;jy+W`-ZN*(}l8>R3UZq@5qcTZ`00R|9+as&I|DB0wHT9>CVZ1#P^M#
zO@|c&Mv?eCI_XA%S8`Q(fyuduY^ZMjB%T3lX}t8q<+TpDB;vH$pS?$2YDs@}hjEz4
ztMgL=qB`&*Z0fX`(+E21B=SAv9S#!<$qRWFp$$W<CA0|o9erycF?hNkhn>^bJJU0(
z1%z;t)Mni*D!fu{zOswM+z$$`Q604)bJNi8uh;?_`|4p;lMMs58dBcc^<mF%M@%{#
zEnPx?Eqz&JXkftN)11_7EHok3%lPphfmM`YluY<|5RVnVus)LAMg}>0-b`)xHFP1@
z>4yTI5%XWlw0LPrhGgllWdk|usAr*bB>yBMCfsXx=SHsv*st?gpr1BTCh}#s#%U((
z)rqlrE*A|jzSY)k!n}i8tt&?P^RQs9UKazL=1EXUSsU3WO@r}kjqBE)XT`iK|C<es
z-Q#udBEyO~E!J_$)W-HF8x|638l56Zg2!uDS8IakFry1M<@D1zu<UD{-3=HK{8gqW
zTdL?We&^1^-*maK!}Q(Edgq9+-Z63B9mjxKH@c8&sNC3Gie!luHxVAm-jg5PyYKl^
zIU;yB9?YhEyD}z59U49p><>&aVip`UPWHLHm=8VaB*(HE?8Xc=ZG<vo%ZtCZjd%F4
zPIu);3ch>w!mH-|WL9i_bZagmSO61?RsOZUt_tI&;cA~**s(&Hf<qnr`><z8$CAhH
zssbfE*dT_H6XU4(Vl>b%gz>eh?*vd)VS#J(v|2hB_E)%wYW_+D3s@ce`X8+-B&@%`
zZQIC={SN>D|Nj)1cR1Dm`^QE0-g_M!>p0Fi9Gmy;NJO%-q7tI05aKIIC5lg^5GhJi
z_G&5b7pX{;nGtCqGkcWr^ZWmGy{_xNuls)7k7wq*w{dEnENY~dsl<OFK~8`A3R)LJ
zXP+yf{#kjHuD;v4>MaS9qThOPxQd|4ozHaUl@-y))aO+KpGY8{LCQ&Q6h+UxTil2J
z2uLgML;d$961cHtco(>eqeu7Nq#oY-i+l3d_ioSv&k=vK-P<IQYyGp5i*hPRH}$Lw
zYq=H-6S@60o1{=;t?|Fy3?gc%AlnStl3~=q$2+z}2L1O*iAzaZ4fV5qicl5PhAX+>
ztcJ?uP!rL$E}&2yRn&-v_;FESU&5v8v;YM}^K1VaVy=k>53p~zKcs-M*`pJw7Zede
z?V40gHwitwY{0ei5EamX(zBW;1Z3@e?<Bu38Ko!)T2M@B5aXK>SlOq9MmqQV27J{<
zu2QXg(~NaM)iI}uA)taPY!_G}b10~5xRY04zb<S}DRA3c5z!mh{+}5%Dl)dA?k3-*
z1NJF*pfOq%b!y#<rWa9B)9hyS9IHOK_^7cL-&aG#iyP%-Of=+uj^8FT(EymwU9Oa<
zRY$KLi(6h(qaj(PyVlkUMqpYZaOM=QfqeQGNmN-Hx}?X(BiLvRpSi^&-rvzge(ML$
z`t?##r?n&dRJbWPgP9h`J`#FscD2@M9~Jc$a^$H=V-UYzOr`iI2^lZuRA%K-ke0Vi
z$u>8Doz-QfBz-Mpns)Incxa<Z?jwuV0_G4i5_=`lUJFUovzsLHYoT{|Rkm-XIT+DV
zYOT5!+8dB9JQ}WnQk340W5x_%%}kn7dP_p)b1AdEcT`b!^73WceFl^~+{JTRiG*@n
zlqVvJmC;aY)-IT2Km)hQ$02J?^t|f4zecqpnigpF(-pP=UP<PiXN@(`6kdK$>8>oA
zj;V=0CuITuvs;#wU{OaK@vnni)FqJG)E?8N?H0iHXK6Fyu_}@bZIaoqB#a&%zk|7U
zGvIzfpJb0N5fOHLxOdQo7o}u>-59&ZfD6j8uL8=Ik=wLmsZ0bb8q>N(7snV7*2TNo
zKvY7Np>Kxgvexl-=KMXp-^^hnCgMlgEkz_VGUFkcI)_X3#l<F{GKcQL&4O-81r#xc
z<2P)7;zO;zrxAxajNS4W^|g{kPKHPJHtu+fv+^siV_5)prmiNEXQa?>mjvvP!dtAv
z%V8gfDuCmjk-swi;z&W?rLA$P7rR2G)hHjwz#`QCYx!YOr0yc~-XDHocm2OceoQq3
zb=5|Sle{p>-tpP$T*5FmdVs&k_n9e-OubH8<q$;Q=>qa2)KN@x>UB)bFB8xpvy=LF
z@S*?ZUN^M4Ig0h|@6*L3Oh9b*wcYkEE`-I2H&<|tV*GpW-4JpzhAhQszoJ@p^!8Po
z>w4WVW)rFMT>Y96M9A+p5?tTD)qf`6FY`Y!4<_rGeLaTo@?pw>rX*&R`SH5@pQi7a
zL8|JvAZ0^vKXHJA*M|u)E^4iWei+1h>SP0@P8onTC%JfNbqzOrq9D4jwijcu_ADl}
z=!4p>e+<RKRoubs^RDrXPK<{$qJW{U4{1pq9>+f};R`Q~+Wz#mVzL5VE+$EO@NlGg
zbI@r4cQEOik1TG$zW!&H)BT4IvTQSa#=3L(mr_;X&NJ0mcI#BufCn9Dk-3{}0W<iJ
zmk257#W^hHSJ`Poqb?jdM5<GNJB6<eDu3e(DZ?k6KS-Q5(uI<)dk6W=Ch*?W{uD2>
zI^4a2^+a8n4it92oxG<phR=K;DywZa;gP*AG94N^kfi7p;vGARTNNF{Wh~n8dZxEy
zS0B^BleV%6<PkiS&85~Lv<sgiJa8OTr$J(wFrkbxj5GF27oWY>i?>-y6YrK#!ODJ6
zG33lIyvn}deL&d&e%kAeMV%fMjJF5hzQFqnpOH-^UmhRAxo>v5s?}5AV$dF2vHqWU
zZ2gt-bk?8vm*%9hItL2y#Vb|&fB%WoyKv$tc^Gdv-|f24pbfF#IZu|${K6ZxeAKLt
zjpF8~w2k7X$*?C_g&~*p3%7J+YN~oOhWj|X6tKyW;fnwF-KDC-_zwKk#&P3G+(~I^
zSD>>Nls->-LR%QdfA8G(ZMk<EU-hCcUQHo^u&}qi-k%X1-)_2Fv||Rp*pvOw_md{%
z2j+WkNc_g{cRyXpbDqQJ%YU5zEUF0#3y<c`oE*cYYWFjroSVnnuFq}0KcoS(O#i7l
zt&ihOg}EE|Di?7b1=}{LREN-bmM3`4B;Mm<;GC1QjK2_M-PGe!hd7PHhbqdZ@uUOk
z?xLlu_~S)+)nb1&*!h_D;#=?x{x<r(mCpP>{7mT0+~P)6sO;ERl>TrQ&uOjtm2i9m
zPtJSOW=q*xNVLj3zcGhrei<9(zs7`Qe_fn;aGMBYnFVznrx)<w$<<{a`Iu2{qukPn
z01*`XwQrnMSi+h9vj|BqV?m^luX4MRRG@!!Mn8OJ86UiO<hRRdR^(+b^FxA51!6>Q
z4NU%7#a9>KuIvkAN4U<Pq~}+aA^&Y<S%A_So~uF7vcJuV(6`W(`*O-a4(iXFPTj!$
z%ZfuSH@Fe|+wBceRZ5_+R-<?MHWQlUq3(N?!-t+ljXz#;Qi7AcnzsKFWkwUC;S!%;
z3m}d^l7l?|2tbLcwjxxrpn)T`{mM>4sC_tJc&L~FM;)$qkfK@9gU)<G6Fw2-lQMXt
z>lgtJES<MWJHd{MBDPcV7e$d;03GES62Nhwy!u8uCkic|ILFE(fo_V5dF~b?!2d>&
zSl0|U(v-dWLD@wL4HjzKy08*JQ(JCO`4S)UP%iMV?vz0ap}lsMoCG*&u@>K2Du5V`
z@5um0K)JtWDe@>z<>1RXA^|X+h%=^ULg+5@&;C$`BI*>qRJrRA0Vcc8F<9n=QRY#~
z%+&z`qV#{MFL_OXQyqe$RV|{3xQ)J{m#vKav@AuZ&6VKH8&2P69pY%EnA7q=1QER-
zYl(ZgpafqQ<w*)`QpoAW_u9D-HN+?jV}ClJ3{JwQuSNOGAbp*S_d+jgAl8M!!XQ>6
zkgHv^Vi)C5$fKF^h?gX!Kg&y`MX18wZz>7?y$YzM?uR*Tos2$~I9;C9Q-`30R5g=5
z1jJ!l{9^VV1x1E`D#+QZ3H(+onbu#FP-J$$_MLZBlslmDt^A7?eCo?oaR^mG@ej(<
znFndep2Wn$=SP8bU1!}Z;;P8~Ii-8wHyza2z(b4?rNN!7%!c4MYUn@Hz}-Jy>mpL?
zYUf!dU6|+n(|P=u2Kq;B5K|ALqhGO;KlT&!pmss5d7hnwn)7wP^nRfulge76cenxA
zi3S!XT-HJY*uAea3v^Vp5@)M0VFcF(S?TIO$tbnIt>3$vj%qCnT#Zkef?x;#9d?#2
zZ@AyOy1`FJt~^THT$unsWoqB2PzrjL*322WO&2{~jF((DFo#$Tp(&SV6vPmuM4Z1u
zL#(fIKM~v+F!}q!xx=j#Wb-sAmKjk{Ui0E?w4(+5diHi_T_pwm3-tY8i<=fQin1lQ
zO6>qnQrBXdKLxoKZOrL+sG(QVH#PK&cfeIEFL${%Z6vg&6mnWk85w+ed+sNzC0KgY
zJbHGTj6AX2z8*<=boZD&Cz)sojoRfjgI*G1yZ)5t&H*u`HuF7EMA#C}vOaUET+u*{
zBl-JmKk=a0@lA1h=MFfRKA7}iTn*I*>`66ATgO`;UX!|UatH7?_!iv3iKx-{;Qdce
zyYZp@T_P8jEx@s0+MSxHjChU+zqrjciOJW-Mr8+CKvCZTZc%#zdNVvvF|Aw2=F9jK
zOt<``>d2YO27&@g6_FO4SlABzuJ%2SrVKC$ujoz}lR@<zA9gpyaKh~T%t`tKbI|PR
zId@l10$J212(CTn0qTU@%=nh4MXeRfmHUgJUzZ%(uKeZ$nfy)`m-7Jfw-=*176j1W
zz+2sS2m-L*+LbiBfPs|kvxUMmZX_M~`@?FS07z(8jfc;h0l~_Jzp#lFHE?JoF+UK1
z!`&lXs!V3^_uM|WmSiTRL7R<we@6hAifnI%NtuGT?dRPl`OCPv`+xw`1p#38;%PWz
zZUXNfV24dDrt!uv33HKd0^pO_V`md?3|*$P-1h8)IKGrR7^^A(pY}eg?JqZi#-b}{
z<exskCuvm8f(3rCRlA>Tv1$nEVH2`pbzK<CNrQILLVj3Tn8+;LWeA9WA^2$jFqVDE
z-1b>CKP)>Q4cnJ*0GGaaIH=VA!A5cwmVO@P2ZQ=pmnvoh(1fD{7VZmJ1??5Z;S4`m
zH1G--1?of3r54|npcSlR>Y97_bAE8~m=;Xz(Sz@V=K)VN*RVHNjw;RY2|!?mCY!yT
z9w=-a*Ux;ki9IYd2*bDPic-YScsA0ZjoW_b!N_e;;FwMDe<lE3?PcFC@1nzTZIur(
z>?}~)G$$TM7KHR~W~k}2F0lU+_;W64JMjK1PrC715K0Y>7E2${1-^rSPua4u0dRBJ
zQ4b42h~{e8)ma@dKC|l+#IZwdyk|_8iZJBuzTIn`tOK`O0z<slIY5R*iA9u21a^1o
zzKzh-0SP>-!}dHEPz?R)|1F5Xxr=!p-P^agQFJKINtg#X)qKl;u!uomyqBD19Bpfk
zJR43|@q&nrYic7|9G2ZFukO%k@CW3|Q?~jT#oN;|6CnZprH+4x=cqs<{@CQs5rEtD
zhs_*)l3@C+Oy|LKDqK7eRP!`N5ER@(;)^_`fqHvaUP2-jjE*Six}^!h6=h#7w|_FA
z+I2~Dw>K3^=LC*=-xr34!5c5^U&z4|UpeCr3o7U_Bpp<mL_pd2o_C{-0vx)3Sx`)e
z3hwbjSO=3BWOUuk@3K;aPUW5=k~S66EPOs6-7OAT$08;joe6MNUa@+&Ar%tWI_FD^
zBtU-;b<yvb5<Gt7FWBfr1(%fJAr*oYSf`!MYDiOts`dB`&NEav8B$t2UnC7fE7<tW
zIu$r=_f$Uh1r@fJ{1@1{TNXqHZaN3965)u$-9tm1GzjQB)3MGZ4?!2C7H8;cu;RH9
zdoGv;yf<Z{nf(;tm;96kZ<sp#Nqbm0G(iLI&jLG!>=j{~(ev7eg&Lr{@=CxgP6u3a
z9SkxU1dwSR%gOE4gj$=i<SSabKv6YNS2R+BoI{D8EsG>L`~9z<(}FI<yL^`WtD_9-
z7i2bsR<z(pp2TECCmkGK{=Ukhr2<S2{cC5xkioa6N=mv#5B_5BKO`#>VSnb0tXoOi
zuu$NEPJY#gMhml5M_yG3eE3*ljD-SO2KLSwn+6~v$Lx7yLKQ4|_)Gs0C~#0i^v4mJ
z5zJgq$})YX2EQWc7BO-ZD4p>NxfyH>Rh|9z^MUG+w{B5zeMB2Jw@tn-FEatZ!!2$n
zwrN0gsY$UArVX`Ek7w_gHU*}d+ot6a8X(nR?>A*hhQQ@^Q(FZLN@<?E+}>z_!chWd
zut5U$qxEdN<N<I8n#<6L2D}Ur!QY?IgyR}_uIAkV=xfS|UKr2-y+v1!)w}92x>Oxe
zvc<zmo2RF5Jko%VON#cg4^$yq&{e$Xm^pkpY9w#DLjy`)ZA;5YRDqZEaf_uD=1{!1
z$bGI_9UfZUw}0uO1f3m1EG^&7A)&tF_S~i#^xY!zR%t52UCRG<2>&&Q8&j8~8i;Ce
zrL*H`mxLTd?dkgXzcq7+r%0S_)>Z|@G}#n4K`B^S+cR7}ZVoI9`8AsgL|`<I*y*{5
zfn}XYCfj>+xDYPEmcyh13B|NKzvqOYIrHn;wd>~4d}?r{xl;*zGJg*_kMKicdxEIt
zUUS$UJy#cYj{wFcbRpJCE;z*(>J-am4l@~jwez8h5EVFiS<i+I=ApAl^aa35Y`{HE
zO9fa8<+KRA#|#Jey0+7N048L9{Eal1gJb{R2&VdMVrPzUi5Ig2%&NNWe<UCSJTFy}
zTi*S}d=!_tg<Ub&d{-Za)+FKnALW2D`(^Cp@sE2pZkmDq^5f-1P6-&6yER+cvw-dW
zR_wCz%@o??;?0u{#o+FA(y<t`dF%^MCTlFw6wXgGxOb(9Ktz#=iIDdk#@bQ0crn-n
z>;hF?y*Pw{)%d}?2l8_m+e^Nz&o#!7TTxT-@R1<!1YN6K@R`HLuV1Hs<u(TLvjx_u
zAOU!4E7)>GcpfuxcQg2V&<H;Aj+-8Szz56wOJZ5&7O*4gtxr6k8$zdj1#|Z^9_VV~
zVW)>JVn&H+($b=aptEuGFdH{F@F`wRJI}U^6&C6n?%2wwW=+o47jigZv;WVAP3sCa
zwbFd4w_hLbISDa09_9eEllnG6Z~kIO+xBJmSn2~eWi-XhpB*wBsQR-*Ygj_%Wj@m?
zJ&<{L%xEf`4PKqMhBl>5tgy506SJxwJa}@T$ZMSy_KHotbbQMMxnVOos=0Isyc}TM
zc7+wR-fwVMaWTWLGERDtBpp026uQ@1v%<)GD#sHa7I2m{w9UxYh2uvH+Qv0mL8xdk
z&Z%`fJPh>MIVr0PY$xJU!s)EA;HpA0vu6YGz(3p3Lml9ij@Z}k%L+UzGS=Rs?C?}z
zPriz-4$OE~kvgkcVNcoR(QVnBka<1I(eND&q{sXn@-^7tR8O$qGk<OvX*%O3zn=zH
zO}^DNbz5^*yAtf?%nOW688YiC6}+ajbLXSkf!{4zWBw37#8(=16K+zWS;g|>30Drt
zztrnE`au9lA?@C;VCyajL>t`M%L&TFiA$taK}bDIuTq+#K+JU?C(Bb@&`c=XNHZ0N
zC0fR{mw6Omh=`UPdc_R{V@H_G76E(0{^1383KTwbn>SSBg~KoDts(+qP)2#a$5WC5
zecz0m?P~boRhEm%_q*Z{pJTQm{YD!MHWLjV8*kn9tIoH?9VI~`oG&%iPaEE!2z}14
zEeM7`7=Z`nrJ;#;qP$*08(6b-;`$AQV8*>zg3Koins)l+g70L|-IJUrxK9}P?a!K)
z$jQUparwt*>&Vb_^i;#s>mtxv=T7|mSOEs-1CO=6B*Q!5zbETQM8S<&^JjL4B6Lfh
z?~nOR26alGxxij=uv5<)4dPb<OU?PnYF2F^<6@WXzDj^VZ42$3r!vrv&~`E((1xav
z>(f8ZO2O{2%TuSGsz9cj;yb+oZ5VP7*xhR;19x(R5{YuE;6J^aQei=X9|NJ+Uu<#e
zwsX5^OsX32|NPqTT}FY+CLYZ?YzpwOxa_?Rn+7;Jy@;;YqXN%JjL;glBDhZSBoWSN
z!VQCD-Y-2=Fn4HpYc4~8KrfV|IYk1W?h@yNSu{vA3A6pDs|1l;eNXxJkl~1{Vpz#3
z9a!_Ktvczf3|v3Y2hC+@L$)X5MrgP$+&VIPh8C^@?VilD&0ZA93yL%hPNT!VVXLl{
zYee|L+&t#cO#zl&dF$pM^*|!s%%=K@D(LL~{eYcHh4h=5EusViI319#oKdX?Zb46e
zM*34B>YdW3kQ76hdHXtqP^=EA=3U1hg;3$Z)nX9Y;>Hut$l9nR4X{B&J`ZfDpjPe*
z%vVj|plD6l)t#Df@bHYR+$;rzcXs@$6gGnz0oRb+K1~Q;Q7HZ8LxIn4r8p9jG3XB!
z`*{vXP|;m*t(u_?kM7nxXq^I(Y7B7J3nM|MvThk1(t_IK4g+PP<}jgu@t;XB31S%G
z!}DZK@N@Ck`Cr}^&%-$H{-KdzELf<v?X?=1Jh&0_gr5O{OOmZ+wVEIc;k;`EA`Ix<
z3@`O%00)C`e^x{j98Pea+Xz<ztNYAtzBd`L(G*|8ZKMGniPY~KO$u=2pr(~*6$5^#
zDZH51Q3uBWTXFI+8IU^fW46D70U!UnruCUq4NAh3B^1)df%|K-$=4eUz(g2N;@%L!
z+M{5H$(Cm(ADQ<36~KUf3ez*nM^#`))th5U-h9x88AvM<84#;lWM0aw42|+F-U+AK
z;kgAJx9T>B`J9*8NjC`4w2P&goVyLwSKaw~Pn*NwvYomISrIP&c&zsP>?+n&dMsf{
z(i}Kh?c{D`%R}IIva4?1EGCnEP29E;pgp#oDEmhSZ2!}dKK^wCo4jhkzugAlp?cPb
zOg|~`@aZk*9`D1>jAu*~;uyq)KK2gU6bGWy?`YNYA26?z$M}RM%^=tP<AmiKQJC4r
zA^!4CDRzHHn~<=y8SKgEaNAQM3_ZT%Im{V3I9`0pW6sVLRy#`v{aXa#i2Ddp>1{dg
zoa?Q8_M!<aWLN(<A|e2GSu-cEt5o9S%vKH5dSfsivLe3X;e~zwQdV(+CwL_9)S|_9
zWAJV58ws%Bg0laqZ;$K=#s9SCIXBoEfy`v<leR{7@K3s>PCrqCO)LB}dyr)a{H=Zb
zep#%b7i##+G^h?UoL(AvKW+dyAu_-8idi7D?-m~|_#;+cmQC2sFn}9>g!CEA%pj{a
zB(hJf6N}IDZr94y2Q&RA=?T}EAgbz@SbIPp#_O<fSYlHTGAjJa-6}S)!3EXD*TF-W
zsoZ7GY(G5+$Qux(+*`v~a$^Sk(N9di;=iAXt#r`l`>U`y{TJJmbAV~ZQS4#BU<ERv
zgP@iuZRpA>w)#KXvc&aqjH6YIQ>j!JSU-HFmqe{#-;*UJ#zdyELBRssYbv_17BEBM
zDp<y@>+A}W?wY~=slLcw%+rB)T;fl>B$u%-PttQs3g@u9iQk^+%jtk!Rosb=h9&Hb
zaw4o<UBLRRNmV=VY<ab`K&#iICG6_t{Gi9BB`nrt(^G^<gSud5le@2%uohMZ%e9OZ
z%&p3xKBJTh4!5EO*S0TXzm5BYzr6a3jp~Nqd1FF_LmNu$;is1|fqkcRUNf&_9_C^f
zZ?;gN-Lkf)Qho(12!7B=JGO~Asy^40-rD=W?Pf<<W>>J$OI!TgWCB;)(20x%ZJ4OO
zc-#EXDz@icO>ogcW)LpV<~d5zhR=|r@lEO<7N-4C_h26j+<SGAr!9yKD*hy!zVJ0{
zhxoza>nB+uefog<dW9D3e{ugz&Bi+R>0|hv8clXEOa0nKV%7rg&=I))auXxSQLN5$
za)QWr`^X9p5{#<L*~N4*K_f@mvo?Niu*(@NTza7ii6jSd{Ma^_k7x4jWbndzV4GHq
zk|xm2T7zlQEI=*4@?z;BKXj5KgMMXdfL|IudGpwIh*y~L4O0+=f4!Dd3nCgIdD44H
zc!(9MpIBx!CJDi<%SsP!=c>cnPUAv)6gxbK`eVc^DgtMp9XDs9tHWEL^0PhqoX{Zu
z?e<umD10h7oD<cn2Ev5LF+v1x2;h7_BDBRBj?0f7A6`)dub+yUG$UT%R{VCzG({44
zCUmYvI;+9XaRrAL7x+Q`IL^;mDGi$q4%_HjYOrKc)JxnZ2(FL*wv23-gP43gF-2Al
zGH#HbbbARw?X?pke;Eoe+*Ew~v8ozuk7}C#&@BvOX}KSUa}?ok3Bgm{UJWj+XYK3=
z5rt#;BkOy-N{}QTr?DeT4U(Uxx#f_=q4f3qCGjlf{|C8$J-a%1IEgV|<(32$Q}Wme
zBO=t~P=eX+sl&PU^Qo`+q#>=Re&qX{DhzlQH?f9j0C~6UMy{SL5O-a)53W@Q_dm>C
z^axGhiVf1AJ1-CY2hWRM$<l<yS9u2yzaW9t?Ju2rs|q0W)tILvS_|Bn#*f8VkU{C4
zudAs!0bbQg4?pnI2D>h|5MJJ`e0DjvBjkn><QY2#pUS2H|L5e~L`5p(JEq@wv7!w1
zaWbtlkyMyc*&pn1hz4zTM-BSCiO{F)5|(IAgJ0ZfTy8BoF!@7za`y*SNNmz6X`bAA
z=jj~P;YSCFJrN<=WObnFQRIVzb)X?4ZsnD-KBUjKT;Cb50diqJ{T;PBKxEC2w`Dhk
zryhG)l-_89=6810ub*{5X6WgOToz-HO|q{I9wKek?{{tXmJXb@*RpuTYYGBlj*m{X
zX@U3w*G3Il9jHmbcSed~kQti)`A#w!O7V``!}c`DYq<X7TmpdoP~ddRmIwJAvKEow
z@{$kDHyp}>%^_rMBJ-BMHpsIYh1@FF2C*K}s=65i&Kh1n*CeA2Q{6P8aUuyOyPS5#
zk265skhj&mk_>GL#PA88t(<tuKW<mB1zdRH6LD`%3)Xl_+86y*py#;pt=J|DkkK6C
znph{nsrsW;u`d;2($H|MeZ>M&LXZFB#5JKJI!flRvkXwVIVfS97LX@>mc_tE14h0z
zKdQMe3Z?lo@u}Y}z^j>TEmOEPk9`R>!^-@S_5vF(zi$DD+rLjuO%WlBFq=FOvK<Cv
zcSv&DTYzJH*uKYdDp1;)AKj6>gryxrJnu#r@F8xz-QQXX7E&~d-%AW&e&wnQd7%t=
zwryy6CR`D$Bk|?<gPnN#C%5K{3+C{8et>1xT^_c@XE;5~pTcDvewIdunZurxwH@0h
zq+##ONbRWp68?Vx0096043~E_)_)Yo@etX2lg-0}$KJlz2o>206`>^gk%p{{B1xn|
z3JpS3M9He}N69E6nW5~x_xAJeJ@?*o&$;Kk-|v^W?d#<S^8hU|rmO#6@xr5p%$EI`
zoA}tk>|dsf0JYVf_e|2bK=hQ^9JALh{^?ALde;aBirJCA4mIphS0a1+^fU#skC7NO
zT+|2U&&_G;L{|9Pe9p@I86~3CPt`q1rw?ZaUi^!XXMkHNM`oO-DbaHBi}brvdXPJ!
z>oKZD3z-ud`l_>(NG7DHqtQYaLZmqb%&ZCEqu0|GSV@UopZdtPhU$RV*#~Z$X}j24
z`Q)glo|Nd*e?3*?5^b=#$x&Efw~l2SIj=?TQXo3zG8eZMEqLGClq6BUh^<`J_nl3k
zK!o4^3PXBYuoNe2k`XkG%@O`<6%eC9A-pnn>T#N2m6YmakT!(*1!UaN3);o!9+mzY
z=+l6VNK^Uym%1?hc+y6G!w!BWeWN8zM*~vNy>8)Xt-%`1Hv=M!cJQ_4Is3vV>cFb)
zLuc8Rh=;JgBt9P6#yRN1o5d;Bp?}erGq|u0Uv+;WrSg6oH)D=HoaC(r3oDE-UtVj+
zUj>w$IR0T97kbX8`~8n9@Fza3{`~qMzGM68A2zX#_ubv+o_JIh{GhM?7RwMG5pAoI
zWVeG`g*g>e)u@0`bF7!m<|rQgNMOBWc?Z`j*>%t|Qh{{!G_P0rlX%$NIkoYhyEx5l
zOOf8M%E0tFb)7<K78lEIWXAm{(8kL1UnyqFFzAqe87$`U2u|YtU>-_D%q5IF{!)UD
zuU;EGn+tekmsD>;4<)LYnGWDPr38iAhpQ8Em++?F<Z!ksD&$&Mtllz12IuF2w|_XV
z;2awG$D=g_bar>FHtGf$_={3Rp7O8Z-y`p5woOx`I9C>VT|qMZdHJ&I#l$+^!9AuJ
zq_qz%2AcHH`6~kNvx`$Ezcz6?3$GEUd|H$nMw*!@RsgB!{C~s0xA81r^4Fn*`w_*z
zESFO|^1$Kh)Y7)Pi+dfo%hJxkfJU|ZUwyQe2P^4VGhI<iBtFC{4HQgh!lXdS{VfU9
zBDmyVo}fab8{reTq*zdrQX6TUlLS!~zaFd>5>R~LmcDWoE4s*GjV(mU!HFbm(F3A1
zi2LV8-!ua|N@ds@F{hFP3b7|cl7;)w@O#?6^eY^QSQ6i`7%K~J#4_77PSYWEmPU#g
z3NG~XzX%pCQCWD#^u9bxgC13XUM#08;6_d@S?T;WM0lH%NY$s#h_=jsB;UHhiyD}z
zGm3+W@HHrHE7Xk{<@3e<I~&fAjyZ>n{52wi!;z{sZWmTmWEN~Yog;{p*}@%HM2HZx
z^GmQJn+*|M(p6=)gwbvPuKsc^B6x>OTyUZ1Kq4MY6Q^+zM1IN~<0?sni&|ARH|}sE
ze@|bn3%p`zvE#z`RNKA%v%iwI<hW6&#nXp&x5ZKXuS2uXvWU<=yR2e8&4U&QC(T~5
zNg{{%`~G@DvS1TwJ66%mhu+<2dZ|(<h0JFT&3*YI3y1&E68CiopuDiG@=7-uRI(bs
zZ{HI+cvF9j>jZ@`YVU9zu9K8S_p}sp3}2JLWiVHTK}rO9dc2h~Uy?%{1~XPOTk=p;
zrs1M@LKKNryf$~Pl}C9Q;v>Ef6ruZ9Q<~OuF?2vsQoTP(5gq<-`gnIa8SZ&pqj<I;
zjwTZ9KPu&s(MMhK6Z=*r;A5u!!(kzb;%gu7`Ufc?c{_{T3LX`(c5QUvc`b#6&fho{
zp`wfi)^mOAqEz9&UzyR|ei`Ijbv;9}K^d8z&ht$dPzO6@5tVcoA_`j-`5UFJf_hnV
zKm2UhfFl(q*@IcKD0<CD0>7++j*Z#uyI80NQ~sKF!<yw#>QL`?$wd`Z<P}qJ;HeH!
z@fv>&>LekdgNg0DvMPw*uAb$7vL0Aar<=Vkl1CBQkHXwjl~JHwXE{yGo({j~KI>(#
zfL5JIPkKHpAys<9TI@T30*RuJilqvOB%30vkwHe0wXRGdcMRaFe-3w0s{%^cOrHu0
zQ$SDd&4z9tGK3fDT}Mx4E1;11ip$k5a;Vg>)bQ4bA@mFCeWj9DK!Ym^gZ^96Xo9ZZ
z_SOj_i29--Uw>X6ajYwy-3^dH`Aa`2>t7jx?Dd@-=`$o`FwpDKw<LlR%jSLW{4@e;
zIFGAI$f0&I`{Lgc0;te6^{Gjt5zuvo9i%8Cq7}8jG&QZ9==qeS3OUaR`~tihKJ&?-
zKiL<~UeRYp33R`2rkyte-(F^AT2Cp29THnOtxk=~A8E-sa~i?vV6US*FD1~!k}jgL
z*(yHMt9wP}jUfmV7wU}viXj<$a-<c@0B-r<x}lM_A(ZQDa6T3gMKPnA<3CovVomS7
z#^jIzP@KAO7poUWFTV@f-sc^~KFr93#26aDF`=ucA6*wfQ#87?cYGGG@$Pj_scL|-
z2JLbYS6)=)e>yb$@+#IEeL$AU6d;zQZnbcU3uSdD-3p%Hz$Q8AL?IOe%X4R$OFyxr
z{fC{z0u;9~Z>Mz2z<hl`H~+=4VXVliyd|dd;tm#A)G1f?O%J|j)0~)|Wk5pdtlEBy
zJJ=Z~i8;41T`)ZXW5l1dsOC+bx#P$V_Ovd3CV)d1#`gcJI><?lt}G6GI(vBs>!GG|
ztuWDnw{eGjEGsEc=ElfyKfaAcW<Tp~h|q@Wvs(7O*EjJ~oe2WILtEJBRuF?uwHEj?
zZ<6kiR`4<1S1enro7e*HIlg;LS|GAWSrp_yk6UFm+GjItV%x^wGaOH9!n$x)7vaVP
zUYT<byGPo<s<&<m$ro!t-Ve6YOs+xvNy#<)rylEAGc&(>9<v5KD~ZhiMbU-xusiRF
zRjgs1%_+x&ebpho`H<P$=ihOL)*s#OYHL_i!R#&jHZ{1JFgcuKnuCwU*#!!9tYRJw
z=TcWOHF#h9`HF9H8CLN(^zzV)RV>SPT!UDk3e@&>NjrBMF%_z_mxCX#VlhhzU1egb
zkVajU-{8`YaZMK(^Wm#l_-Cr>u*WJO_&EE4jzceYVrk6u1=||-V)v|~1Gfrryt=Ye
zFw&2y-Ig%zxW9&76Rk-QO;(0TjjNuTb3<5iz^HGq(K_~J>mKblK4mCZ|LaKKK8gt|
z_zGN-*uauLa1lt)mB6`Eo~tWs0*fll{??<uiTONq-!vvEffZ^uaXmMU@rCi9lMLCy
z?9{%VqN*T6pu{wP4c8p@H~pSI-^w=j^^|V9lLZ-~9G4=kLgukYmDx@6*}K^LaJ=wd
zjUp78yEzq3Enw<)-OGh_6yU|j;ghtk0AtakjVazsSWDP(9;+ToIL5H_;fIO>`2V4M
z`(%3=`%OQluE|P(sN(PRrdQ-)ZH}48IA;~}UAione3lw22-9WKpGj~_tlnJEXC3Qq
z{P1qLp9c6&pXy9wCV~IP;l?W4P3%wb4W{Lrw7}3V`fB8?97N>^Jy~$s#%MIgbjED<
z1AE|sD92h^IGd1O`Z#$P)2K3x*0E#&t0(;qr^&K#vn%4X-wp*h9SS0T3uS^t?vlEw
z7euH^d-{#noC+HB)SrDAV1dWi{>l0Z6XE!pgtp{I0+>DETR&{T1~ln%Hd9$LaPF;>
z$a6y)D7QYED*BEcRN1%AudB;Ivkd)s?fgDq@D8B6WW>3rgN;kIZPH-PjB(M{(E+i8
z`{u$17f{CgZPrFg1J4^C*PS|gI2_26?fHiXZ0Tw;i!f>M5z@REy2c33CIfU&hxov)
z=Q?{bvotiX!ollKEKoZ&m}(~|2s@hXj|b+ZAYD~G<L){u)IZkv%5_s1h^iBt*QTW4
z?kDXE%$*(l-;6wFOb~&TckUWxl+s|!<S^<v#Q_iRl>eh%5ryy9L{t;iq=Cg>MS~`V
z3%b18U%Cc}LsHnkf!lG?F!JS=$+QO#9LK3{t+7kOvn9K^W(FCEJoBRYtpguS-ICq+
zr&bCoZ@yI2Et7$=Ps1_ZegbeqzjhzZLmA*(rE4;LLWDBk2UR%*LeObpb6n`MEV!!*
z2#=P^LRSv;@musFAS>ro%jQmkX6xXiv3w-BTV-)F$x;*|817|PIx0XvW##D?)$;JB
zRhfMIr5HR($ty9GCd1!1<9`lSDMGma2>U*I37F`f-?+uE1c}cp%A4txV7t@TE+tSB
zc4-DDX?B&MZSnohT{mU8)$jEya#jkC(oGp;{7{CE|LKM=kE?*_9Aj|S85uYj>RLH@
zMFn1~+ew6EsDVsX+B@e~BFs=c(a2v=f%$iL`s+e8;Pc6h&4<czps1=Od|q7@gt?LW
za;O$0yI-K*yh4H^quuKvdv%N0bFn!oIxzKl<)^~~c~D~gP$fU10-F9Y`fQbY(6m|7
zObk;1y=$Rk^yVrM_vG+3_dggs4jCt$Q&5C|#36MyXJvS89hNsT3n25pV96sz5r8T+
zB}_mGK8$rHhV~eMX>oDahayD?G(5D<yEmtJMd<VLD?_MlbH2VAtO)n%8vBb&<$y`R
zE^XAx2*y4+#-CqMfD@mLwT^8{1F^}d+PuLCMqfDD?k#})S5z(n!V+-NBk1-jpD{=_
zv9!pnkRajeb<ZbeBEYsOC!48l3~T0_GX4+b;A6?D4SQWa_)KSiF+<51Og(QVT-+kU
z&OyE?nXByJB_LBqq&9{e2Cv$AJsCJt9rgZN106_l+*^5DY6OR{rpuciQs8IPLS(zM
zg?$KAD%!L+0*6q-JoR-6_!1TU^4tAk?ALs1?vnvSxFD7(X!lSIDpLX^G7kL2BTE}%
zJUk3RS0hjQ(K`{Szm&;e{%!_u#sB!K_3ioZWWb1Tg%HGAeD}>aUBi`=2L25=8o;ns
zYe9-0KU{E<)rpwi!Ov($a~ib*Op*wW|1EGs>!~{tWv!Ix2c7erg*8C6ZiK|^e;lw8
zA3m$%O+Zsq8(w#^FpyV!ALdQR26q=(8(zCpBjShJkg5WGVCr1*#=03H&20X{#{p_I
z&Qh`dw^|SURy+k+gy_IH+`qq=mIgilc>3Mipf1q+b768V1o);CHorJUjW(`Tl+`op
zLR_%KIB9$rThQ-y7tN(cn_RN|UHUpuqtKAbv9X5fu~n~CAEri+xgVxI4Ah3{KI$`r
zH49h|U7U0000CLg-5+<W)Pl`+Hh1ID2~5fI=L7p-0xG7Xq$${^1yTV=c{HE(VdxA0
z$x1;23e29`oN>?u*S!5HuWg#JoG9y$w;QR@qY452oB|D?xHn7X!h8tV`!sm%*?lT>
z=MR0YH<Jd4$E=fatO2L*&JoG<r9w5U#F>A7>TujYul@IrKRCxg$_(a7g+l960zP!9
zLAP%9vlj6|{J9J9m0vIwD*7{Tk#DL7sY6~pmhNNtm;}{>f;Uu1YVam8u3QzwCYiLk
zbf<ChyR*#VyHuz+K*Ca9SrsHS{H?e9=WrV?2Ae8B0#fgy4fA=c0{5&`qvL58@xH_C
zem(?h^x%rIh^nFr9C>w#n!vk^o6CNzXD+2i{5;xk{oX5sXv_QWlLD(aPq6)9W&#bm
zqOR=4udfW>`u4Ny39RE28XwPE-`R&e?H?W@H|*((=7Be7gf?*vG0|<G*R;sBGe@;-
zk6RZftw?8y+qm7vjazq?=ul^@tAF(}88(w$kBuJO#h;n%<GX%_9>xCr=5aoe3=8G6
zO*wlxD(dTj6<10|H2b?hvQdc)q269^Cx<8ze`43i)bC8FS5R9`<E<hPmJ&-Fg$c+e
z+AY58D+@}u$gUJ7C<4*+y_ka!HA+LLb(q&!5nbk?m?1X>5O*_kdGMPC1q-#)*b>>1
zCVUIl`za5Z_Jfy_?PyU0Rb_E#00*McJN=x-L>?a87+Z)~q(j-d6nPhhIMFw}PSWHD
z3C7g^*~JvoqxRRkeeC|+C{6S%QP+h8CPz$;&7?3QsxPvSeZ+W?J;TH~R{{w_C`JeN
zXE7tc@ldU+t9(dKH2R%ynH(HF@ns{!hZUK380)Ys3LqM<UW&^%<e>Z?lYQVbHZ*Qf
zwttda7=8QN$M(}*4kByU&5Wnmk(g-VGc{!qbWYW3QvakJfT1^grVS^Oh%a)}`A-y?
z`nuK3`O86ClI4bQ8yAv2PIcu4E`~y9t1YkR$^rNNTzc*+Jm}wh5*4$Q1d4j}rhSEy
z1T}|~BePWaP;2GQ&G2WEh*9&lfA0+v%tee7W7q^x2G+c*ATN!!(ikH|ROCTG@#Kds
zW+8;^@+3^^Wzan{lEgkP1(5k1pLI{}02+>7n=0~?MI$?}-|Sc1`%4s`_Ii;B%DDF1
zxL=5bs`<=b*%*=GRFkS}cdsb&ur|6CRxgk2<7Hk&uqr{mLHpe}PH{xDE8%kFydv7o
z%9lArsSJZ%5Ps550>vF<Z43+|qqszKZM{9NygYD>T%0P2ltrg<nH7}K(8V2v4I5P`
zW(^pf{wIa_jIU-Nty4lH=Q9JUi`AeY`K5=m=-%Co-4`}N8MP-@o|Vwhfas0*<Jt~H
zM7*1{lboQ88XH}dVmmdVWB0%Iwm?}_e~y29EngYk%yYlMkf;rXZ$3tR4wpl>`cBd?
z?DZ$aK7Vx7K^F>jN#7*gNr;!W^h??v=N=2|<}W+2$0O-~_uKNyBh&rI`PEXCkUA@q
z(M%5p0}~TF@JJr<rMXR3mXp!l#Fc3)1VG7daa*}Z9(6OXmy{n=M6uqJFCDHMfD>ES
z4a<M>=&7Sw{%`>arOQ}+CW;xt8{Obp;ivM*XMe|c<{w1laLMM=>uf`?clt)zA|Q`i
z$_f<lA}JJn#&I)}Zjbwp<V;x~Cn3TAw#0*PiX)_4)^^0i2tEY)F*7;sai!0olh8>K
zG-=N)o8@W*PCrVi?#RfZ$#ETQ@-;t_^Sp6+!qEukCmJ_88f1`!sqv3}3|uH8y{fZK
z%?OMS4HWfQNh88!;@0Fa3tDf}gOxQy7%@qUDg7*oE~p-8b)4CU{J5W)spjtS<7CY#
zMG*;P?tIeVV#p5Oem0)g-OLaO&f?$HuZtl@qx(nbv*vNIyemJ`YXC7eLh?C%B50y>
zQpNL256;Qi7MOFv0Fo1!?~0@eBRcKCk!G!T*t4G8$Azl^`)w94JERDpo{<Qti&?#x
zgdnaL908#I^3mGQa$Xc7e&LK3aSUtPrK0a-09X}q-J)RRMqg}ZpE|yu!7N|!J{KTk
z@I|~R@Mt^-B9KRA`UB@N-BnuGQ44*zq&WG|+K3G;FV7rod$WMqpAP5a^49}h_Q>$l
z$CwdcQ(`=sxQJzZJQFOPt_wz%zTDln>5)cgx8E?&BIZ;%Hfh?V0|{z9UmS#JQMv06
z=c$YZjJ4}xpa-1}9Q@Uw)yF`MXb%Kb*Z0h0C5iJPCT7|YclzCQwk0LX$o~|lGckwp
ztrNFi#A|`RWbvKK>TO&vCfa}E!z|{J6um3itqCU--<xj+t>YzM4l$L4Ok-u8BZMG%
zO&D3huFSk&#>L7AksdIKX{u<%nMY|rIHQYJ)tLo6fpW&?2KzWBA9X+1YCs(nq9h6o
zsAh2*)!sw+?g$o=YQ+!6>L8zPPWxkJ9Jk1$PU~hJ#$<P!?sw;@K^88_>G)t6uYa{*
z8g*n4tFE9pH^HR_6cOpZjbHome<zdNX^Q(X6FRmXtteICJvwpc>SPc8iq+_Kn^_-L
zA`#1)zNP{dn{k45<PMybVEjpq|1b7_^Ud;vuL{`J%?a6Qwcup-z~`(x-B_i<_~g!n
zG93QGpE2|M2c8&XNp{u#gH4#`1%C8Wh6(dv=25$9+_RwXM%0f^EG?QaxIC!@{`TbV
zKMyN#j`GA;k#9OM%kRD)(l07O^=;8F!GeW2dOpc$*3*tT#Mz#ExIqT8T>pvg#T5LS
zQ*PL-Z98^YZ;_=cnhY^@4C6th7_7}+<Hi_kJJ#P|Cc?-~242tW@yl2?*5x8K&%0Nr
z*0&4#Y^4Ze<lAl>5k=Urn@IN3(RM6Tu3h$UumWr&n|ro4Wf-_}d&d80$5Lab?%vOr
zhdRS7&D>HP8x@J|%DmZuWi6e0=+{pImVnp#i4$Ki@3F(&*@2xHb;N_3&w?Z<f25Gt
zIPeYQ{O!k!^13j&KrSW6Js&a7vl+;0sl#^M_p$cyc4Pd<f*gf1Wx+02=uCFa5A4zN
zDBs*~Jy?Z&uJ*(<5k{QD8Ir#L#QH+E+|!HyV$yT-rqA?<(9ow<)x6Y<9Xu(VMR}<Y
zi)J6XDtccAd`GuUtx{Sr!`zDpLks&cim**f>q%)a`4KxUY}1OlJrytc!a0boi1hB`
zIwTG1rMoLhvh5g0>W}667ekm`Hq{f`d@1m7*Wx5fbz%k+F1-6sjbM|w8r2G$6!drr
z<%JyngEeN8dP5G6VToAgsnHNg;Hq`~7M$LL@vp?x7hRaZjE^)Ma!pBq#Y-NB|0Mrm
z`=pu1TI;8<FPCih`MF4dm$k-r^im(T5S(uQ(Q_6fWR59Jwu^(MQNmbLzyM}K%Kdyv
zY93?svt9_b5r_X`wBFqm8Nwuf*3O<n3)q38kaqDFF^~!jO<7(T#u9Ho%`A;t!X!D1
zulCxD!PWUIH+vUHF;bMqY3|?^th}1#>bqW17&>ZZ>L)XS@y-c$KX|!@^&5G=dgCPu
zC#gC6yppFd)x3JSKKf1Uy^%!J*t!UKvD>c+8_!|_GTD0O@3yg|=Zn3O@ghJIw`^@H
zIFGd@8puprQh*Qh5tck@5jZFtkC%U1z&vSg=}XU20=MmD9kn|LV4(XC-@Di)EIqDc
z=V>_s2H0i#O@0Z(TTk`E;ae+MJbuWJ>mv<ph#$FSD<%w%dE4#}%Ga>U5aaJ?oEE+$
zCe1mA3Bk}U-P&-OO)OB$_VcOZ^l-UIVf@9oAUtXqN?`2V#svR(<g4#zf-~51e1)4J
zP}}Oz3Z0_>Z$j{F0wpUf77{WaPYHmU%$ej<j8u^GVY8zun+=%FS+3;Y7J%Z#!KYNc
z1Q4^5@Q}a80q<<j(v9m1fTD{)>x;iMa7Cr-6<ZJ&%%qeGZ0#2SiPrG*dfartAR%~t
zq>u+nZ1M6_%lwcoWYDg9n;s%X511Vh<%eWr^NA>G0Z3>lvOA*31fGvAXC|8j!KXdD
zhD~1po_*vuG#6wA8N)T}<5dS>MaOBIkS74IWfd$c5E}$(U7H*V5rtB7rth29f}m1*
zj$S!|0~F#(h3E9e;kVuqw<`uh5Pv*%ZX%Wow6XWMFG)#44QF`^U9>P%i`ib^DB*!x
z+mDjx)uh2KLg-U7j|gN0_*RQ>^FwWl<y63VB6J+^$+DIa1@5F*+Oc_pP`&WAn*FOB
z9I3XdT)8d=7k08WLarPD{h5V0H*E!=s8Oo7mX?5Dx+ATZbwnX=(WTAAgAD$*j~jl<
zOM$F@)5z6!F_>N$VP7v)0!qqH@}#FSVD9oQKKZr;OoxvW6*iT@=p=i4+ATTIi_A=A
zwU&aAgMxD;O;uQzQQRLkuK;dO9Sh{8Wxyj}FZY6z8lYw$t;Ri_B*d_N8z;y@T}Tt@
zwY55^g>`6MDNune7mDjeJ#xTsvW@2&g9bc4;c}EoK^^)X59rut$%DrY9)ihb4Y=mI
zcs6QC6TYxL@gW{jgu13d7M(y1_&9v^)1|LE;8T(#)9XS8zn_9?_vkg?XX^6Z+V}d<
zHNy9(XO#>xuf9rI39G}?rpb5k6JRbe_+q7p5}Z&eHJC0^1^ynDd<XfxywvhS^>>C6
zP>BT75Pm5`X86KOD^DZ1koepn`k4|K)*atTyF-T8eZ%n=eT?Dlnc_41Je45X`|Ga7
zwj6|fsH;j=JqTZ?uP1(9Aj5e|rPgC9Qt-?v#QIIiL6{$_GjuW~1Fd<18?T%w>|VVt
zWx03|%0uV=t7=z((lX}rZF4-Jd(+gyb@m|mkbcB0|0ID&!dT=)JtJIx^y^Yb@j+PP
zR7>N$BMX1eZzMnITgCDU|GKf6AB4MNY}ug)WI&LmqrzP9H_phyEhJQJ418?&>XV*I
z!ddTNv9E`>@c+P}<(RZF9JG@|PX)!{bZV%x_f=Y?s!FRH8fFCD<G&s<ycB^&#!CWu
zNz6!(qOQTH)ew$Zk+RRk2tsc{vGM2_8#?xxm+O$6A&|eB$2U{+Ld;^tes-J#m2M|E
z9gQ)7*yrB;q2D<`&?#RzXqgi=-8^zGVH)7>Qg2l`&H~3L8_!1+av`#(^PuPnfET4h
zL5vA>AcQ~u?*j`r>M}(gsks;wajC@#QBlD+-mi`K<hhZf%D3y8`TCF%XXUITy@u&$
zB%ZH0z>S3P@GTRh2Xl&91oG4b))Kwdba$0&FE^QG2@mUnmEUMpaL-Td1FdGv+b>+`
za+scK0k1AZzn-kGp!kiW_Tjw3J6tGp^?_WhqYk*HO{aQKjp3^-_sp`LxDf3~%A?cS
z+AvzqYTM_sh{un`*F00>LX&G7!+Qw@{`St(3Ma4Qsk+{ILZVzK-zrb?rHdB)4*&rF
z{}h;MJd|%6h7sAa8~eTu#xQ2=+gwOU6e5X~ipo|ZDrrHYl1L<FEs{zkq|BAQ#nwV1
zB#D3aY!SWletkYXzx%$Q>pqY3c&_Z`GnuFSW26@~l<!d>phU2tzsnmVC|)i$$xvp)
zSOaU5m-+-0Xqp~6X>J6OKZTBnMX+N-_p)@SF9D^^9ZC193?b=_&Hcfw^~m_rd7`|C
zfE=5piP5Hp@YuwyS^5qa9(|W#Daj><1XX9dw~Yqi-hNS2BZdbZ9Rm!Ho)g0(Qx)b%
zcNoBlI0unOt{d<oBz;>F6-V<*U6a6ReHe26`Q)}3KW@xB7W%eM9FJtJd}>S92R|FH
zw2kitFd@Sz=~tozb`Yk{ppiZteL*$UY!XBo>#tP1AW7tiod}E?)q_)qe2Nwegz)%_
zT_cP`Qb;WpnB1152VEjjL!aY?vCne*C8@L0cw+g7aP}TO@K(yW^7V)aMs`bia+b>A
zrr)zCzG&z{{jEE7J$pqF0*rfw{>b7cCo%1Wzci@(??$t~7Xi_ScRbBg9*aaQ0<3#z
zFm(OLmeIXp=-ap=@%fMfE;kFwmm>`_Zn3R9cT60|#-2Y*(^bS65!c@-<uuUjF!z&8
zk-*XEApeSWO6X(~UszH`1N%Gr_uOhFan*aOMSVaCCkAtmch%CMnQoSObx8{ET5Z?9
zUZ;$1&zsDqKGUE}b-1AwWN=_WCId=TP`J#Nr-xM!w#vDltGXeJ?q{~A@MWsvoWVlt
zQ4>9QCHU#al|OR$C2H`?z63Q4tbf>$5Tge{W-?CPdI~7_%bi^_f{3+(QHQ&~>cOn+
zFF)&P1!R2_RPe$_9j{Z5HjmotL$jz!_U2MW<nan${AHnm7apW53%BUQ-K~pT3PP3e
z-p)cYtDq(}Jb8QE)58G1HeFynr>~5r4E@^HR!#hpKkneSYybhL)sH@3P{!Kp9qXDy
zNodzKZ0GyX5Cp`ldp?${VBLw}X`MeLT=cm?m<llh${7C=`(afS-gf?(^DZr{+}HU{
z5R5_Xx>ua3m>QBe2Hw`CYGD>j6HQgx1k?qp7Y!=ZkhSe?N%d_lv|%54|83O-LhopQ
zxMfYm_$#hKe&Jf^cEa$m&#)<EbMTvr)Dm&HF}uk@LJRYa&eZ9?F#}$8?Z?52>NtFP
z)h8*Agg(WewUUa>;ZS}WZ~I|&oQyfGN~zVvHo~d7=(83;zq3>NUAj63F&2fi8#T~k
z>x%~pwsg>xO+I_`o;u!t#i?^5TOD7Xt%l)0bP(S-c~<p?I^KKvC!^Vwh!uwm%l$V4
zeCgD`r0u7Ua}H`}>Hn!>R{9HL&qRRlwk$l3;_BEGDiO6VPz7s*^Qs=!0LTk<(5H)u
zXe+ny`@xVB`b{&q-+cwhG5=)mq)fy?waD?B9g6sV%R$$>(*Re}0-Eh&)No5#h8Mj^
z9<{0U7w*jg==5NVU7IR)+*epV&yc~CiyVc8{{d7I)qM$Es@U0D<a&Zl3b)E!iTd~f
zAoH+%bdjD4eiX>A+<!_OJNY?EQ=S0mxomLY@KDCGv7qhIx&$l?zpr>O4xnUqf<xrE
z5|%k8T1sk&pz#Cu#_!tz_`YQbM5icX)PCzvQ~QK4v`9NKkpPf4PTG-Es(^{tKDCS2
z3n2f?gCZ&S>98^eMML-G@xJh5{RlcAUYoTS`6y3^zP(DDmX~Gmf`z;@p8+pMXuT^}
zO16LxCKfIAdu8yi!JZL=JKT7a9&<hHuQ_l$9y?OdFNLduXX3qrxzHj=zxb%1Ib8J@
zb~Fr=#Ejyn9LZUn=q=4+eWKkAc4r+3@llb$V#};|obsIb@iVVMv5^_XX)45ePmAF#
z{a&?`<Lj|jVupJ>&lIME_OFb5CSbN|j<MI@^|+~#p|iwq3W`c1{^tFnc%|0KgWHx9
z$Fss;_?|X_?Hix5+pvhD!D%?w-N=c_Q>pfOlg1$C8Taz0g$R0U?Gcqd#)TZ}mp_T^
zGY0k-^_qDZ!g#uftxan)H<o_Bc}Jkv2u3NteRKGPv3;n@!`_w$zdbm{)!}XgY-gNL
zW0nvulGx|2`|~30diMR)E<<SebEr$jMhNLMjjU@$8_<vPJnx#PA-o6>(VONFLRpb~
z2TdM+oVEGt`)|kq@^r>#9s32*_^JKm-b4W$R<~UiK4JhPzP|z^TLn>%`pNp`bwLc<
z&XC|>Gl1kR^RHjN7sP=g?Wk|ZgmA+7V~6lfeV}#hIv6t{h=i!EKNfw3G1cgd-Wh#;
zh_15Ww38LW4EF|sSYHv0rdjn~@74q5;=E4<dxg+?<MtqpW1@I|^EL0nGkVZm-FeRO
zxe#9GvG2@HBjDyXTC1qG9>fo5dI=DP(P_*zqx_8+=E#z@ZNJlC*|s*ly-*k*Jmk<I
zib!DTVgIR$Y#Qh}^A}$<6TuYuBgbk&Byn>`viHw@H27&{UbpFo2ri{a^Gkk{!uO7X
z9HA5%?AXn3tDGl_?$u8&*89t#0f*1bDhD&Shbpb;#|Zc?_iG{-yBsP{$(Gvuph7fh
z?bZtqF{C$+?;Nj?M`ypsb7JjOXzJ%#sBjU-r4grR3AG9s9M$;HrGW~(R_z<~_ex;e
zIKh8=i6Sb+)1Ai~so=+WwvQMqi82GRcXINTuw6l0bo3(?0=aV(ool3!XEiL-J6{>k
zY<W_#W0ne!+|pPr*2^&SGtY#-SOvY`$b`Ge)4+K|#GSHV7I!Ri@>f=<VkDs*|9a7&
z``<G<|3^9eqqZmMUA-DguiHS}Q$mCE#_bhqnhNOF9?`4RNyOkSlaf*Vdhq=7?)l&u
z1^mn|)H2wkj*nd<bk$;+{Efzx#9BqP@~KXZ?9spm5&btyeEQI%wN0q?suC79AJn=3
zMic$ah&0m@eHb-giPzkxjEVKDn=ciT@bix!;?27az~RLvIjVsQN<3jd|L~9&uF*G#
zkE<9$?Y50KH>_7hF=dw=D;_eAf89rPUuDko<-vnz+f|Y0SNiO}^JJ8$z5HwDhY^qx
z)$jaGQp3F?cboj*l5y&~vfn_jF$A^p%|8Gl{ykoG(|&-AHQnCC!@W$7WEN#64-)aT
z`<kL$H5mz+0ja`+rVzQSJgJD8|J998+Y;Q!Xj&fss%Y2@NOcWilD+EK)gfp^E@yIT
z=Ix7<-_7AUdH&>HZ4LDF%Tf9Bo`lkmyyVlmEWjhir7K~t1};BRlJ~08#1Q8ULE$Po
z+@Gd~yN7C^fAXJPi$fa7Q?2;J&=R1k(?vblM+0BO+2oc9A|Cy5t}QeJ;A-n&=W%rn
z9EX)nvs=}$QcR(}YXE@ID4?s<rjC``5$Aqosvt$JoKIHF5`wq%#b~&wV=L*=?}J~I
zaA_NdLy?IkxZBIqj4FwEWT(3Hgrp*#bAI(Z#?cb|bKJ_CS%^sdsh4QkB8M_Hj8eC)
zmY`MGxNDlKhC_43`Wdm(xKAyKw$aiOmcOw7qPeKzrIF0X^AQrrV_B%#tzrqe?p=kO
z_Nm~})DF8l51GBRL9+1U3czkv`i<Vh%7_W?*jdOTXnu>)Bi{lr8nVGMB1j3J?&xS;
z_#=qK-~xrLO8`b3BD)<z6mjiQy3Penew2s`r-<1BtYl5Q%7iiJb9&X)WSIwd>|0p#
zU!%iB>V)#%H90JMdd?$%7Z+w+IOW{6pAL4(f&g7WqQB+W)MW8L9q!uFjq5R%o>KFt
z(E|Evmx*vd8l4B4vMTPgV`uU4o#V<DQ01eoHuO>wV?yt@ZjN4u=Je8Bzq955YOW+!
zngot>-VtSc#)c<sE9+kOnZdxnQOWI1Vz_^0`SY)hY<RWqa|g-93?ArGpY%o&a4z7a
z)to#VCY%4-zW=5v4CNg8{%^A=-ep;($eFX@*Yr?pi4_yr<IQ@ugqcfwpOdEZQrS?k
ztFWcP#{^_PrpX053Zn(*3~5z*9d__M&u?iqhI3|hx6eiiVdT-C!Qu9GSlIHOEs$mm
z!u6NBms$id@~-X%%VKsEy~{N}l4k_DilG7Zx`J4;ZE0AzkOQau3vT&|8Nn}s3Fp%R
z0+{RMe%8BwJys}cItnEj!c*(ixJ!lnc<IuiRo+!j%wJUP=jJhl%xY2Y2m(L)PCk9y
z?ZS=3*VPc3XaMDbf?2BNeE7Yk$W*6+2QSE<x)&s106DALwBl$!EPidLEAPAkf7Z6!
zD>1oH)hChXbes=wwg28@w#<j7q@>m7M12q-<oRS~@S##&-RM;mz=yA^ZXK-AgG$c3
z@7;&_Fio#;e;t!E>kdu$?c1&g!z0tN*F5;qsy)sv;FAzq9LWkApQXWMK5Kl|96z4q
zc6bb9!kF7YUUo{S0c}r)DPNTUUVYSN?I9qFI$z7ghb(Cj>mb<e<t&JGF<<w0+cEhv
zv`>fUHx=F!R4hHe2;$n{k>0TzV)*i47Q^HLGlwTBHOdh}XpsBvL*=qKrafWTSUOCF
zcIhkH3rrp<J)YR)87_%h6Au%5s8sm#c34|!LKyddxV*cSQyN_|tI`wKQNh9EMdtcu
z5!{~^YCBjag9Wm>2U@@C!fDo3ex7Hd_@=9SKrw>Z>r<YLpQ_V^&9`nWq&z1e{lmJ?
z`<Xd?P&30gp-dM<3wRe-KZ>C&`!3fuRYg4N@N<&&u`aAwD~G3WNT9HpNxC0d2?-K{
zUwNx_!F=k;udpqW*!NS2768g9hG03|sS9(?Z69vjm%@3<ai{y<DtN2kLAP&N7Yfg>
zo5+`u!Fg*^uV0KRwh8rTyXaFvg-yJ3yg(N3$IAz9eyoP=<dtm?&QpQw>cL4TOL^SB
zn?7XKPs9_03LC73sj#clLzOR50Xh6T>yK>EK$*o(pPjpC&~QU*>?E_lKAR(Ui|A`2
z$9J(n_Awejc<PJ2=1TZGl63T}3kfZE2pr>0(gVRLea?EKGES^5Rw?Y(LMiIoz_*+A
z!A{z-L{(G;Kg6xoUf4!PJ1+AKA$bGX^euNV>7NP`$`~Qn6}6FvKxdifHiY66D$mc3
zsNzYbEgdggw2^yXip&#kBiPi`a-F474gW|ETOKsm!L~n_m*S+2A?5Pl?S(gp2x(O@
zei1rIS<UdyH)Y;a>VWb~cXjk5SvFq|(ZQ>7LHw!*OkubCkl$Vw4Lt1W-{_*CgF#L<
z^{OdmU>(!wSDU1PK4c4W*adCeG&Hv`USkgA+2Y_$s~UKlpuFW&E*V35O)eYtT0n}d
zv*&`XCOYT3tjULI;XJpGRQ4zx1{8LVrUz(ZZS^gpKRXH2eZ5bd3kDEY@{n9Tpowc=
zcwdC?(!h7)9{ub+08u}Z-;fP7vAMlak`PBkYMK6e8(mAdS8UgGu1^DPIX}q#PEy4O
zH+^l6gj<3M7e_(9rv{Q*bS0j~E2F}~t7pjtmLRs_Zt1CVb-XZoVE5c<Ma*1@u}!XJ
zK9^}x=J-X#xgn*jGG-o|)_h4;Z?J@t;Y|s`>xtMH?pSwIM;Z?_#*5TFvjpMnJAXNO
z)bPCeCW-M}am?~<yJVMP3BAtlzA1lI@YI!&!(;nIvFqT!@5_fR;r7LFQ{V5(C_8z3
z<ax9ZJ|gC~n=#iv!@6KQRj-7S61VN{PVnK8Si*zg34k%o-fow#h;Jx2Kd9a0M$cF)
zueMx((zN`N={N<PE<VUdU*^DkdZDy0(^GD9?clvJAcsC*|J~oWejSoS?6rF4=|E|)
z6;*8c|NNhv{q&dxH)n;mcG}Qkm-5M;{5Mj_H5}nD(zePla5+9Bk!k@Q_e?gk{E|TP
z269N6;R>U^OSt;xfH^#(RjkgD#8G=A_dC<5KMa-kFN)i>%;A;YR5Sf50qf(sG#XDY
zF~nzV6F#3ZgAtJ#=X!!D`gi9aJE5?|D2k3;jB7Q8_3VAT4;jKJGQ7E_z+s6&9okeH
zq+|*|a;1`QUKYX~QI|bi$Cel&b(BYoCr!XTa!mi(DM1{Y9b2g!{lnOx51fa)jX}eB
zNw-#90MotAZS0L#81BKZ6K4&Lq1@X$J~V<46E2@Eb8i33NZ|ap<589oXoPu;UK81X
zK3ggb9COzgI!}IAJ?1b1>n|_2a*gp|<ld4G{M%Wuu)-si?U*4r$<`dHpW{Y?&Zc1B
z5LWz79eVM2*Z`us=HI=capOBi#IRs48^-4jM>0GOz^z9u*d?C}9XWe8?i^i*bSWQC
z(@*;FW9KXG*T9AAJ^!O?+i+m5s&I|Yc6}HQ?A<)X&4t(ABp;ToT8}rA6DLcU9&t=v
zdGhvOPIR0i-#516!fj~}x3>7`fmZ)(+b!Z;`2PBh1g;<4_;@}VZjaMILhD6EvIiFm
zYPeBD^LVkU^n|ukG_yZ<_#F0SaG{61^6~O0K2%$-y3awNL0g!}2(JS--hTF9yz_AZ
zGzgT;Tr8!6gq_kJjTLTuHha^X^R*yK_9)--b)iD<@cYg8+IdiKhSn7_CWJG$%i^y6
z(S?SYMDFJ;y!hxTC*QQJ2v)>j*7|x+7x)JKd%urtz~rnQ&dLWxQ6a%?>myHHXyJYP
z^9QpJ1$tkD2d@b@y7sl<3_%wX#p^dR(gbivsFxyfqc~<3<a`<IrodX8t(Oba(=KR6
z5H)%vux-!dp@=*R2s)KdoeCAg%X5#H)DxxfR^68&_Tv<|vgMqToS!hd2K;;$>LG)~
zyMs>qT`54nWc{1{hzOQs3ZRgU9QM>HKe%Q}fo*KvCTq!}IAxuxyh~jH%gQ-^+}EMN
zQt%7McINsXsSJm{F;_%4jk^*P6bf{<)lk%>#W76pVR5#v5}plf-@^b3q^Ca}PmPnn
z6Mhz5CO4GvPq`wwXb%PEuKl@ufLjV#%yx`NbgSU$aB|qz6bgj8wCv8kCyket#XnwE
zQNsgnqZ1L#{pOL5s1A9_BEzEGZQ&#ld29dMIj^e=C)gawCM0<*DFg?DZgq^larEi!
zd|miF?*m*H6>voGwtJhNCTggKQ}nc{U?flxb2?TLRXjtk3nh`Tqt5lmmJd`I?HG!8
zNKnGhYh`4iJ}rz}jXA1*odzeW*>>t)SH|6uwQ6Z%+IZKl<z)O(Js48yb#Tm6!6!V+
z5?Xppj>ubaMg-`C^At5quv8T*wyMjJ2^2iD{yzhWa|WR0W^&uOS`Cx3k2WnHry!L&
zG2mZn2*0==iuP6!aal_HOk*_#Z3Q1SZ&)w_-Rav|!S~hCb1@`Y^)m%;$fB9PqX~3=
ztF>E>)xh~9D@LxZ6zuQS6i#|<3a^DkYHe+pTzJJ-`Y?@xQl*u7UIcS!OY_np4{M^w
zulu$-IuzvW)%jW%ZUHak`wEA5kx(!{w)HMe2Mw->it04e!D1;;HGt`F?;M<EA3P>w
zOt{_1(iwmaZ9`l7>quy_EAw@HFA2Sr0-lERTEduk=V<E#5+0zwO1|Epfj4!B^ySW5
zg73wU#N&HODB;TX=jtgU+Kd%9O$}Ot=CRE^ea!XP?T*;xE24^39o}}lYE~e_sio9t
zq=_Zd(WK&RB@A+%Tzt393eMk7W5hE(%XXt8n+;6?yJZ%%>-SoLfql(b^L};Q)_d!O
zV68NUJh>Pd?`Z`s<p-?9?1@<Od%Z~ZUU9_!U25met>9)^+O|Xj^ZauaBF7Ghpvj?1
z$$UO55b+_8dv~hfIU9rESET|NC#e%G)n*A9eBU3X#xQ;MyHJe%8E%y1$j*{v?yGKJ
zX3`_761K%02>fBhjz@Oy49nB91iwm=l+(isSkxwG<@4YlqgW<*@<0cG+lk`ii>C4z
z`?2F--<2f>4ofMPg#f%QeCit8B!h`6`!3GR&N6O1S$H3~f$4oAR|AAYq%b%(Iab|g
zf^j8}T&KN_4(Bd*Ts>qWfm*Wb_T^~*WLWjr**%H3fa7zz$sHsyl-}6qc4~EqF>vb1
zq{u6CNP5%IXKo{kWrDf_ekTVR0*Xs+iK}MNSg6u)DP9=ogT)IhEBhJ$jS77EZf*uq
zo-AP{vx2x%&^@Gv{R~~g$Ef`CrXW_XO@78JfcvwuI&!xTGHAER%A)T~p!^yC$K*2`
z@ae5*1uM(n7-_oAOCC}tFtgKQD#n}#&9a9&#Y~487psXTCxeXP_0a_TLQ5`YPmoWD
zoE~9}Wu^57HyS~u7A3Mdem(9E^gHIy_8%iYU?^Q#$q3Tb&fQAo<-k7o7P92-3C7F<
zedbJzA#7j1_wiNBI;=bm$-hrdGx$_Ra}SLfKuldz2C0S(sgLyd?DxzvCRqi)HMttV
z{=)?V-}_lnF>Ptz7Oy!*iP^ySGj;kfRCz7Oio%N8Dy;sUK?@AN2H{u#|9{o8F6#N>
z0~XwSN7<JpZHcj-^9g4~i5~3f3~1rr%7RKY3n~g9mKj`UFUkt5>w)t-VYPlS7W@((
za_EreDueUg?+aH7Y2fn9=8Z8c3pUwqsUEuhkD+<&r=}8#2E`*CV7Y+>17tF$awS+%
z=IW{3_A)BGK3ftRVZeg+i_vo-VQhGCVPkrx1r;t_&(5!jX2HK_7WcdvUWZ4nc{pBa
zWA=7oT-Y?sg8hj#l|F$Sm|_-SR^_V;{Ad1E-uGk0v=$E*DSl4$Y8x7)u23M(_ilO%
z2OHWZvMS27a-p|ZPK8Vc1rj`_=6YVS;hcGnB9`!A_+0M3JH`~qn7OoR->r2Rn>*N(
zR=NRCX1IBFF?7JAuOZhUl^xZLPMzD^$B#KyNrrJ^I#5sB;d-Q)1C?Ux8a8AK;^%zL
z+2IInc*=h<IBaM={_|+QF!NOin?jZJ%ZAC2eIJP9W?Z;?(urd|(~l2TjtO>nlVLGY
z@p)YhH(m@#(mBWUq`ci%`J9HeATH=hvf^G|WD7Q?<Zl(j<h2E!kP})^>tJ9Qpu>kA
zm3%D^xFyir_|<f&oEFgRuVm?I2w<{;{ik;$lE`&=Uh&f>5~zJ2T)JH(h+C@}i{fL_
z*hh>_9m^rXp6LA~ZKh|sI<5-%3Cm$o-Dw+_^CYN~_<6rpS_Jicol~W$3dothuIzmj
z30So`kJp|SMSHsoR~teUkyZM{g&V0PXiUpEn(&u^mVL+2xlReI{-_ojy&*w(N>7{H
zO>uNkANB~)P{FTrTLqd`w7`14?1+q;B-(!Q%o8h6#iiDiv{!{%uu*T*&Qla=j3h?w
zil-2<Zp>*>(1Q%iH$Hn@Bgx`q$y4e7-l`*QWV&nCL>rW>ZX9}VBai-%Dn&IyHL<^V
zCcn##`Msj8xBOSDfHE8`l8<Dya8deVfXEICT!?5AxHPJWapzo?)SAio#z%fQN<|kA
zYpz%f$TD*;CYXEs0Uex8=V5gvP(dMjW=-2m1-H^gmcp6*+7QGtD$ShdgCbXNe9l(I
zL1o!v&g#18C6NDUzaR6y(4Hz74XYvNllO#j)WyBo)pXw`ec-9K3CdJf$N6$zdaxlC
z@603@B-t5)@S_}S%N-gh?`d^hCYFj*-xB$^jvB#()XTAFA~f+;x{Yz!9V%uX;;Jsc
zV*;Vhms(~|kx=<dVwdq*D%vzY`*Fb649b!{ZhYOPg*slGodwEN{JEC!zME(Pf5@j+
za`?&U)10*J<^^3G+Hvb?!#6tEe;7FJbeW9GVO`fGiYb_0?dQz;3LqrZi^Hakj7ir`
zwaZj>@Z@qxn!{<PPmMc>H?@<IxM$KYC`Aiv4w{4=m$!mlDs8)ilbG+}<r~@YL<2ue
zm3yAfvjPvlh`rG~WK7U2n!wv?nB!#AExOJc(sH*Jjcn4wl8U~o17XUzR`mAvDBT*a
zpY(PYwP*5oZoiq4s{;D&r}t#;v<BTvTvc%rnz(C4aq)726fUS-+J4c+8a5eHcnoXR
zu_nl(_8cDpU;VJo*`sX@7yMXH{k0~d)A^?#uB{2+#j0H_MKe}_P0q3X<*ImdHY80!
zf)mMYpZ6Q*S^<NdWhy~j1uMS!94Z)JV{DxK#P!9}3R1Uzc-kMKgsLS&bDK%C47p13
z>S(tmaGeP~l-H+#67$wM9clv%kEyl@vcDyKh-to1oFRt_MG29uPPgdIE&hD3W&vCe
z7f5f;kjASWdwz-h_(DIQva?d)Gyqk`rgV}afrA-xeHAZ8=$tyWF(aG+VP)~zoCGnf
z%}V)pi#|a&Uw{0Cs0JOBqMzTL&J@AOZEFLZFQ@797pfBTZ7slk{q&5Ls}L4MK4iT%
zHA6S7fET9%%|UQpCd(;`A2m}spArtw((6qIG8Hq-Adu86ZCAmADO(&>R6J(syV!c`
z@Qo=12+<Xq9XYXUC@*(^{|vpL`1~__c2i)bTn_vW>?o(-5G5l$L)Q>Zx4O8|1Q<=?
zF9t5MV)nEhd{&#Lj}@MJPP=3b8$~)2*DTf;w3*&-_L`IQD@y^!%iTs0kyjdX{qG+}
z=tU>)YybVCi|bYLUeq)KL2mE*3+4-q{{a91|Njh^cRbbq7so~Rye_Wo8h6;^UVD6w
znM(MTS(1umv{Xn+A*E0<Qu0k@l%ga`#EFJdMujr6l8my6R6qZ|-{<juJl^MV9<S$l
z+HmkJ_U4Ze9HBWxQmip_x|l>$=ca3Uems7ky=R!1d$3Kfs@Dj_GsJIeQzmPpCu(J!
zorj1Ja`F9UYa<ALS<t#hZ>%;f`nuy~*FmB;yV~{KEko$^D)l?k`K?yHLrYR1s-MW=
zQ<tqE8^Y>%_hMd|!CIF=KduYey#$?aCx>Dj8xHQevgS}(Z|%KL+ooKvbQ6hbsGB*@
zg1gy4P6E=MwIQU4CYQ<2#N_uc?(=(CaIPW^maN-q?Gl_~v$8t~*CQG;G9w1yTiMtV
zFV$N6``>A=?^$g`*won5-arH3wF|g<{r8*NJDat$HNSo!{=IgSRUg#{r`SUgyIwr6
zZKZoO_eQ=a_?SzDpZDnlRk`Trhu1Z=k&=!c+cvfm9Xmq?+kff7$3033Tf@q0_k~`}
zmJMwo9+;PW<~^kcW*vE}n$wGFZ?p58<KvnM`537&HwisB^5XKed~{Z=QA+QJxBoQ}
zMh^!KT{h@KA7wPG+0dDYE~6+(sx}e(#sWWljL-odxso+Ut1l7pmo}6I3p5dT80>wd
zTiWnnp#kfUQ31gp+`cg7(nL6iDEajCXn|Pb>+0Itdj$1TcEZ#|6Y=j!w~x4t7O?!2
zE9E>N60^-|a~;FYgr@bc#B<)7u;Y%_oc!g-#HB8|bxPSSg!qRmR<vsxkU;rwzh6}~
zan{}2`|zGtqT0Jr;OU4uC|v)84|gNs)GFr_81kO**R?IuH&urtd7>{e!s`gNl0+V!
z%nyWur|G{P$xNu3Z~6D|{By$X=aAd)pC5_9_(m~<Zwz33r6}-Kza$EEk3}U%wiBxy
zz6qVQWk5~nYZYs**F<~RPs^KzpNJN(x(%#+Iy}!k{dXp`kqGD3{`*?JlhBqTc4`aK
zfzGAzp^~GC2#JYJxAg8N3dhr^?uThmXr%6}zO#jh8ZNh;Zumk--Qc~KI;aMr14-Qj
z1Fb~O`dtTHYx@X=OPK|Y?rL!H<&Rm6`#?mLkSl{>fDjLQsQsf+6}B}U$g^74MwI+$
zrJWcXB*^>oln3lpA?TT2zlM1S!J<7Ed+~gTs5)Z1HmhC*?kRn6sNC|I*nD~U<Xp=z
zk*;+i{hyr*V2E~lT4@*IJ(A(JLvoau`q>yF@J1QhO*u8jZN3o9&{%nntZ~A}<_W1}
zqcZ%LUNq!*u8-gl2%3!8HbFFg@KhN5LIt@~s{1)*2Z&EU3l(xqrwDcJU19}$sqj4E
zg4L_mLE>GwOwa2d(?mY+Zqlz+RLE%k@<{8^5D`q%_8(}OC6*U=-l)}Af@6C4#-Vwb
z_)D%z68=6<d}lG7+IA^Ifb_|p3Z+p(e*5WV9@9l)s<NeZ%S{FNc;}09b;&r9@;||3
zoj1RU*@xZ^sl)QnwM`?)K5l{_-?==Wb>lB#Xl`WP$dZRCGhWBojZ;M7rhqoFAr2T!
z?4CP%Mh;%4W;R%h%n)xgDn8fbal)N{RpBPzWTCu1H#cW-mbk8Gl+Vam4P8&q?7|JQ
z!2iMeeVfbzarU#$r>j*wKy|;on-^t(Bjom{Cx;e^@v#p!OA7oTC!tshRx<GNp`=um
z*fJ4ZwEk5|ogl2I)0sbBO9Owl;F-zUzr=-yN(J@zMZn43qhQ=$8WL~Us$Y^=1-Ghd
z5+@hL;EVvr@I{g|Olf65<LTlAN2WHxcrFf0)3jcEPl3dI3$Ez*t05*MMkD;01Q^=9
zFyXpO0VjsZdT9<`pwHi?UYwNzO1A3bit7}hIR`cc2l2ywyGH{7J7mDZaJN0Hk^**H
z?XC7o2tm~PZGDTP@<82hpz-$?1x$h(KAzwe1z+poHfK&HnC7r4=L(XB$fh*CA~g~W
z>?(C3D=EWN$B~8(aT%cKJxULn6bIqK>C(<Y6<}wCmi%5N3wLce>!L;_V3+uvd6`x<
zVCUbgrrF8C=Kzf;Ybgo@o!q!9f0zz&Lbj3dBl0lQ7|rSqmjR#S#u;>mI@IyBe4bvd
z1Q%=)xxb05+!uIS<|J#v-qeYAJndA7?lrJh?NbE1)XiH_N(a*QYq=ATssM9&i}Tqz
zDs1vO{p8wKJqX<X>6^g`HQ?Ls*JE@^1p>>tp3gqghum)Wr%h9I2=)mSFy5pFiz=`3
z{l!_3@+w*SdyhJ7s(sidN~c2=-(@q69c=iAxuLPH+Hh{^DUYoH6L#b~KH7KL5WXLj
zj8wa=2Q3>L{YDnlp|$Cvv2&pjG#}+{mYp$x+ukv?eqS}=iW^rn5orwVJvuRgafYB*
z)E!B$(*_5fhWEM)#<0E6R`S;WOyI`-)o*^E(1kO(6F#n@CQxnR>Rsq;4r$*GDVd(u
zgC(|ZLVk%c*nM3VZ{KMJy~alSqBQlPs!xwadTj*t`}8G#R01^W&b%wQsSiKYdVO5B
z7=n&K)*D+L8@N(+PTzJ|AHHZkI-s(`t-rg}2UL&QLTt;`x04h40Gmd)e<$e!sXS7X
z$h3pRjc$a)6Ma~aazv9RE%2EBUB<P?9^RArz{5cwCQbN{R46mx*VfJho0sgNI5B0s
z?vfrfoYU7_6RZp=yK?mQTROl~fiE)mf_1^7TjtHjE()Y7@U(0;cL0)$kbBHZUza_N
z7;$NWaL^zv{KX%8DEhNCL}XqAmMUWDO+_<Al)uCku~d7w+VtwT#sMbS8QyT=`tY?j
zaze8%fYTo0#dSYtwbP*Zo38(p<EyZ2+GCHJuN^qKtzY}vL=~I|Lfx4<g4jt>b?qv#
z1*_2Ak+OwUaL)da6lF(3?!u_xmSr30VDI&#Zjp!PH>JvT(`3wb6R2F;U;`(-LZ#l{
zrofQm(HM(nNj%uUH_5KR8f>_(M)lg0p-(7lpBXm=^X8RKPV!pA18MS)k`NJyRa~=t
zyNZH4{KKi-hX68t1-1A7;sNAIC-X{3W3o|RgHIa)6_)2--`3-Ryw3#(bTy=Lqu8Gj
z*$yk{J1kV(C_hVVYP_oObftc4PNKr-m?fM?`@?a{1BATp?H@OXC@8zR;vrMq5>5ns
zR&F-9Q~TMHuV<);g86}YJ#<G4_)<K4P&#6;mVLlq$8H}5>1QJc)+U)lrbSQKrF&Dg
zL`}zHuNei41FhSXddxs?{aa<PmS45zya!)CCsVNOZd37YQ#1G?mYn>>_+RZ0DI(P8
zuN0=yM+&8LO+hr^WO!x_CuaFx{PgaR6pov3y5=Ef3P;02pH3@s<LJeib!#OkXsOQa
z6q#rOB5NJxg-`LK?$zdYJ6j4~Jyn$bN5BN0RNeV3Tg{Kc^9Buf&Qb6|{QDp0(v4wg
z?B+z&J3$oYJ*Ut0lY;xACh|sT#_(r)M?>W^VN7^6eCkxNG(Nm4<*-y^1Wg*ws+V&`
zv2UdFh0!V*j0t;ZQMJtouGpxWCO;O#9rN}Fr%Pq<c(IhVHJ=es7nZeOTqR-uiKpg=
zqGd6;sm-P0u_4$$VQRgM5yvs>RU{ujIlOhoSi$RnAw<5McrETv#&3eMW;$EtF*&4s
zFx<cpw3Wn62iHrWj9=|@moNpqThg=l&@vmwq^rp4rjjTWH=FnGKSiuNt7cW-%!Vh)
zy?;}+rEsW;g-!!XSU{Q08oJ8{zh|%K&S+4O!m>_|&!J+iYD!ROIveU;GUSc)rIGpi
zg>KI#Wjt-ebAK*@4eqTW9LH>A@P4>3za3cx8*H1sHBPaieUFdvqOUBPyp119>r_E&
z^(6bM^K7slm)W+MAcx0O#Kin>sp9n`UyZgFvcco$*>jOk<Pk*568=P~VcI9>==!&8
zC|$JNAhoD~POps5xVqAC^uZT_%N&MKTk||a*hUEzpF2B@(dhWB)4w~y))2H_G=@p8
zqvF8A>u1xy=y-*;Vb7NgL(q+L(CMG2qKojXxYA1oe!G0wP4$-{_~Z#$ZYog5c-}3U
z)rm}$`4TJ}7;FUBUawy(=Ba`)6PvQj2z88FesDj2+z6DkzsQF3s^WBXu3^@oI(p=O
zVy`-G4E*Ink=f;{n3^=2SHE8aCF|C6E-RQo%!4m;8@H(;inh8&4rpKoA72=?(FA(1
zF<hUMhGK5v7sS|_EAu9?bS2Id{@vfVoRv+(j}~HX#@jV<htxzS+1?Dki@!H*VA3&7
zv(THlOA~!LKJL3GWDcH{P0K$E=y?9R!QUA|6Rqan?UL&-hlLlPMAwiRDDPX$em1Uw
z=?fDjxw#h5#npXVFNA@K1q3&5s0QZCTuZYJumsxH;R)Bf43s`nlu%Klj@_Fs`;Sqr
zAa8De;{A^+{rX<k<~+<q#$#30)MhK-cTWG&F~C4a(~oxTBMh{K-L41r5D+NBIrpuN
zffQb~XBCZf+_*gFYq3CpSjx=){9*>CJ-O3$JdK9g+5WLqLx6V`nZoCS8F<DeIV{Oh
z4I_w)Vh%e1V9lWmPlXvce^qSa*0c&vTU}2)77LKGn|_%4G976G(%re2mC-0*Rl>Cl
zfQCTD-bxWV(vxBa`s}EfUUXyNdp5w|F0EVn2WWVHBJ7v-yaL+2N$mf*Qa{LXZD9Dh
z8cr#DA9IYC!|}@U`jmKpe_5$J-V3Us>pEc}WlI^H5&qcUxf_5y3vV0Ns$%TT1<z^*
z1;c6v?Ro70Zg9r0Q;Ai<pRx49CytW1zA^f^Ck5c`ft_bWA1mX7&bxw_Z;&zLPfxc(
z0|7INTt80zq@u_1%DH(%ar|Jgxv0T|fb>1FC-s<AeD{3<M^=$gZfyGMRJRpGy;6Sn
zwn-7)Tj&DrtHn^_@UmT=j};`G_Il#vqkz{Oa#x)^B!Zu%-_73Zumq_s2b{E*<&f5B
zqT~d^I98|CTHs;{oxfgGij~Tu!|(j0V1FU3tv1`#_re0IAMgFR6fJ|nSE%lip9Rs>
zU|9ONxdq%4Z9M9?T^hgn6}>6X6vQn;M+L)5&7sIEP1ST81#kQ{b*8PHORx8mKE*VL
z0m(@-QiK%7c<iwG+#-k@Ya)JZy>14A`IaZ-Z%g8?JDgkof)FnH$Zk0;Zw4RZKPRo3
zlR&M6y{8lUg;0@{qZ)q26nt%(<s7$2pmGiOQLPeToa2b6rpTEB@9^#FJDp?<=S+^=
zcT)sc7qTnqxhC+qzqsLR7#V}VT~AM}5k*V?XXPnO6By@dPI6ZzW0cE+bm?(1G`*^G
zLbTi%ChoPBc#nzW*Vf~_gf0pF1YvZ--WWvv&h~G3BaYkkC==n6BrF?>ND1#Ug7>jE
zxiV|T@#KLS9>qFwq|GPyj~zAwMcK-R>nrs~x7Uej=aJF6hoASVq!EyzL~wFc95;Vz
z?t7UjfqlPxBR@Scgd^VzhQ+94<nT0js&hpW73Iv&E(REaL-GFm1wmvq<!n7#QzC`+
z8(TZJQC9Z5*|$9bugExcO3AqUBL&Znyt{OGCAVpdRr6$13EUF!*ndJu1}9Dvo%d4M
z;BZPc?o^Eg4h(D-b@!A-&yuCv=iS+mZn>5#+fx#+*6p9z_)reFD;4tGRAa;7tBE0t
z)lzu=e6=jUngWt!E)|?wX2Bl&o_!wArI5?chG$2CBGxx&?e6bkfhu=?Z1bfRE_&Fx
zoKT?Rm4Ct>dtb9)rpZ_P)NyI7yr4+WoTTEP#(JUYS{6K++%yG|GAMO8GPI{r887j~
z_*&JmKxf0X!jgDdJX~R?5nZB!C$~n7>a?<e>6^CfdQ%P+Q^$%OE~(;sm-&$VA1s(1
znT<R2K_35H%{6}zuZGYa8Wu0T!V9jD7-b1XlnYVqesze32``J;w>Gljeae3qg#4AT
z_p+9%bO0Sm?IDIeSJ_Z8G`zLmkBZ{k{z#T?WFX1g;`qk}HmD_q-Z7F?#`G<Ir4%zJ
zzPs-3Ch2bo2d|&pF5IMyj(O7q4it6#$GP_Cc)uZ3x*krxo2Y`{&IAcp45{Op_Q>tt
z2aI4c>LN|cK^4a@9CQxK)xc6o%c(_@F@(x{-F920h8456Il?xY__pS$;e4GjOmWpa
z<vv!!J9$mMDlarK@7sT|KVnUwPnvoMf@t{gnyr$)nigjC%sURdn8MD1PebZrEBUra
zejvVC3sn*mmDe%MV19#in`#jqM+<Yv#11VSi;{TQ#cd8Doy+n4EC%)$^RZM-weZPV
zuCI;5<}jpv>xN<x18e>_aOrTjCi)M=OucQe0AJO_x@Y`M%-^RYeRBN@M{a&vWtwLR
zK3>7sSGh7#&uq7l&uI<p_$l_u_OKN=uKW7tY!nm!wZ)RT($rB>MmXQln1CnoJ}Ea&
zGts%u_@(Q?6`o4okSH1=Akiw2(=MEeC(`3DH0v-hc4u_$E-L`;#MAO@2PP(T6+a7n
zx02I?YJ&~Y0KaVFuL}HPU{L-@&!p$dKEU%JY4k3DQdam4on!{K%SO4CcBr7G589eH
z0rc0dBfsKhU|9BQQm4BzlJhKl@ALtL?tEsN8%)O&OLs@5DwL49XJqomSAhC#KUMxp
z8s=NP*zu)D9*w_WTb}F$_+*$jd}m$_`3iFn_2|l?*6|tF^5+1j^fSSqp@uf=RJW2V
zD0uw!_sKOk0b*FkZc<!Su_W8uH#0&KeJ}05L5&1R9+ZtpJ)nYT9<MGbizK5lwYLRV
zc=6WlmsP+;WlS<vX)vxL;X9i*M%M)Zxcq1}9S^B!7QeN*#Yzn0N#jC}nFMf_g#7p4
zBPDE(E5jvD5sXYXw4;a;@Q|~Bnn_kfrF4(+U;hMA_P56D=t(QsIP6culk!N}xX>RG
zDu7Oz;g9c6S^~5F#$q_P9Ihqjm1q(CSnuWaOkk@ebR6ZHbiFQvKB{dx6?^%xs%6;0
zePtf}M(?ESdrG5Y1gCS(6fYjQ;z%!HS%A>$3r4<73f@1~S3Fw7i+2QOPW-uM4kxa7
zOQcImVR`Czx_1*V8tb^n{S`I``7ZB|ib|45E<U#Bm^2?+amCfHIc^5q{#M!lw3EQ;
zD2jVmCLhkL#690QWeVEEOBF>4WPEH;J~D30k8az3G{gp)!tHCu`(6!-V|%Bpw36J)
zzdj!K)95#W4__||rEOWsTg_O`SJHxb(6f2%1z!^w$i7`_|AU09OQueUn+ajz`u06D
zy~c3jkq*Cb76~Jr;PG6vFcL)#dMN?M@YYz|Olk`WFAa6-Qu;(Nxkt_L@`Mqn?K(D{
zVMxN9mSgv}>Wg7I7ybT*<3^xR+*IB~C*j%d_jE5#67Ig79x_Zaf<SqhY)Ksw8gc8r
zlOH7Esp3yb1x1E%VRuns+d2|56Fs8;eh^3G>}0n(8p3>f@px)9356c-I~CDJ#_u@9
zTRzT)3m^K<e5)fNG&eJ;-z9MDLe{NYnQSna6uNarK^%3yl7{kxq;TWkd@bQMZ1@*A
zkZPYKj!hfHeX3Wy#<Yi;;_{aTt<3GM9HL~r^fLB@e2O%7njfHyR<nRLXnMFbpN#60
zQssNcWsqd2RUZ(?g15zA{d`>|aBoomahq*&7`)pyZp%g%9IL9#kr9=|@GY#}f4|A&
zPZ<NB!x}7@ua8Sx>X*csw$#$5I7MV0yl=8khy@<X*8G&$Qg|!i`jZA(Dk?2DxKb7k
z;QR6CucMw*ut9O{V(%X+@|_r&*)U}Qs{~VDD14O0t9#{xi$;}^iFJ{y=MCW1+KHr3
z3o=+vlBx3SQ$fM^%e>}%EV%XP$ZAhrIV{L_w0P2^ipJH$-<O#zNVoU2=Z})d$~q?v
zqkc7vG!+`#?9GA^m+&(24h7_?J$2>&cN#L9BV%@6VL|_^RZ+(FN_b=8C1=bO9p}uh
zNl347N7Jn~$bUN(y)KdJy;gFla!<P3wiUkU`xN>&(3Np0<K;!CMJA@6E#;nl!-kuI
zzm2v{DWj=Rk$&}rI_ApVKke#i2w$b<{{+>lU~G$*_V#uS?4@U0Us^B(=C-q5Z&Os!
zRmY`uYoR7aq;Y+Syki7GDVc73Th*{enq$LOA1$0M(mE;=w&I)TXY#EWG)%;<^cO$1
zaLcFJzJ;|WaLo2bEPIrOEkbo3%bwa;eI-Zflb$KKKYX^^?*<*s51$RKN!3QK{c{&9
zR9E(~|FK^FUC+R!#^I!dOl=hH_M*O2G>5`4$8nuO2Ck(^H7;-0#$`L|p<@abaF$1F
zl;Y1sb#o4*fGI7U8M=0_T-Fk%9li{b8=3e}m*lw0P78-=LDpSjR=~HfX<M&^Iu8Gw
zxaF}$6ZfvY#nxT20=ZSQ9Ivg^u^>yZ%Gq244LQbRC0Yqs&nVd2<DicBoH~BeMwwVz
zL1O7U0*J~iF9~R=qgh#29%DZP!v*RhK3@hXHj@xB{mI0Dgv1=P4jR7E@89*l3n1xj
z)e+YeCfYT$Xs^{+;p&{9*=k{H_%CB7k|n~#iH6FFj6*6ICDzomsAUbgYYr^uue>W$
zpy4C-jEc0)M~1r1t%0QWt%zAk$46Te??$i`F`8?W#x65!*wdWh{br1YS`B(J`$XhW
zhO_#8y}C6J{ijaO3ej*LBAf@P(wOw<)s-kgYp65ycQ95~!)#{<d5*)9SQCAMV&4z&
zNYYYPMq3r@$U<FSBr^UBQ|z8y;aWoG7x5o#75uu)uS;JP!+@LTxxMxSv{q7jN-dOe
z@#Sr5thWe`&%_t1X|MRpjzNi~HB>x(=5Va9n;>3)WhUG9ngD@BMs8J^A_jI)O!s#2
zVOPc5E=dCd^7O9{d>@g=2lJX`pT6?oiO+u9f-|fDImBCwjN~xueEkRS0B&@#Nt0=w
zvxH<e7Fp!T;1SoT1LFT%jkgM=d%n6^!d;<Yt|cXDEPj>nO6w{Y#`kKsFO{wMLe_?>
z5h#V9nMn^k%(?K!@*^=>2@9x+o~-*XMiRB(EQd&`abfVg!$1l*hcDx5Zm+jWpyrff
z`#&cx+$s9zXH2IV1lxEncW)*mmGq{vrI-u9{f<fMvo-^nd-m1-;o{g=*|~6pSdDiN
zmTIQnH3h2dE6H2;NO;akcv^OOHIm839i6hKpq|r`T+2<u42Ig-nJ?U!cewQGLXrtI
zC<g5=h!DeZm20}LD}9I)mf26?GJ$7X`-;}C_*G`a<J>TQJ~Z8xNAW*q4ExGhQtIxa
zSd*3Dbi|1txt;i2S1%iZ&)yT<bMHlP;LfSL4tE7G@Vt?SVvG^woZfTxZ_ElmO3Mxe
zF@=ystNi<!#|T<0c04$;Sp<W(kXG?L6Gm%+Z_zu_454&kvwDl42nMiC_CE_3MeZ?+
z`C&CfXj|7DRG2D)|1+U2d*q9uL3`D&+$uJR)2=0c9TUNz?2b+H*GTAeT;N-yCmW8<
zTKy{CD~h&)%-`p3i{qJ%T-)z2uH?TD>2bM`82bBE`{le?@u!ExtK91>i2uSz8#pY6
za`y(3w#-Uk{Gq$mzg<{xa9tL?X<7_-*vHFu8%d%3!?TUr+$`93hko*O90}z`y|x*q
zP;gB7f0VLk1~5%CuVFLAacIHC{orqDR5V&AFOy&ZBhrdyq<(R1-g))y*%(=jzNodI
zW0L`dMH>>kOUO8_8R@@HP9EQF=-jWUZU79=gZ$?&NFe9hr*)3a3h1kt@WP7U03wts
zV|z|ZqR!C1lg-&mc)@G!IlEbXC}wq>$WNET8JQQ%?MTId$berOWBPC=wQddb5d~>s
znzLA=jP+d~^|&YW;mtax*x3nbj5?BT9?+nIQ;;>Y%wYg|F?ZeTEoG6+ZQJS4t%{Ww
zh00u144|Yksp|Z7Ib1SpJ^b~T8eXv!&sghb0M?uK?Aa`<fb8BuaV>c|=6F4LZkc5O
zvL<bO%tA%%v((l0w`Jgm7dOI=P8fib$3{&;m5Pg=kJ=<dm^hruJ7~3q1>Ki-8Pk4K
zal^D1_fm>F-Vb^CC#QSGkCYu4gP)c0ki%{9AGb9yHONzB{~<Q)@m8z6_f!R`i)Meu
z$~7_nS9!gjsv&Gv^!T4^o+_>*XAUUc)xtmQAF{pQ4Ph?v-H_NhH9WPq!fH8Q8!H2h
z%053g0*lLk@^LQ>Jq`akA2QLws$nL%YQ>8ar+=+2Ur$Hl6<1$Zql4QU2hN&Sn!wtp
z$qVfY4E!iYj*b@5#T2IWe$lt4P)5%PtmtFlDH&FGy|OO$tdnF+jhMj(#@&r2=b6}A
z>DZ$+t%G&zefMSxTL9#4qKeVgaa}dLt@x-83Jl3_>C&@=biKjA&DYd1bIc{VtXdn(
z$ky7wovgrA=&g46f;ujC;<uy<EyT=IMT46O&~KmBn%B_4n1gR~ZtT%S0m=TVcj^Fy
zs=VDs;}yQfMVW<;sH0%9dB0Z{K;1fKp0u0>eoWCRkYh73Th-FmeIDS2j@K8Fc6FrQ
zTpZ!rOvnEN0096043~#L)eRKJjm(T|@4ffE7uR;rB}!5X4JD<LBt#)2?IDFoS&<Z>
z5()M4J4(nX5rxX$C7aB*f8l(d^L)S0YEt%4K7#@E<Fp9NV;Z<TSTR-SrHnsjEZ7Ck
zFyN7%kl|RHI`)bNDn$A!qQ8h>4|^&DHmWdR3{+G{+tk@dPebG}!P3R4Czk<k@;SzG
zj%v9175jcoH5ue5ImteG%mCNQkyAZ~Rgozs@3&CA1hTp|9A1cJfI)_7tgxpF3KeF`
z>)43m{oPKIpN=zte4zdeZI3c~Z8O#@-Xw&N=S}Q9O&H+#;yNkMS_xCjuHB<&k#NKH
zzbYKd0B-plq1QAOG5OFAC6AXpxUDyH&qy)AZSvMqKS2d#TDLi*r<oH;U%jc4#{je$
zbp8HSIn1_pp&d+R!vP^`kB=At^TUn=wow_Z-zPQi&Blsl*DaF=F43Vz3BC@DN#WJZ
zhA~MdW{i<zs-9`H1itD$n!h+DF+1~7eE#ApF_Z92Rz=McjHAhtt{cShNz^&1E1k>4
zYraZn#b65vtUqpiEJG9{4W-RkFE0`7N0Vv|Yt13xzp29~WJNGTq4w6k&PBq@BS?Rj
zlsSB2ooHOB5W*(d-{ARvk%)X5pJ{&546b@ehOC_z#7)`tNn_ee#Df^<@~Sfhk3CEu
z7CZ&8&-SnDht(w_jPjz@NX-<23dW^YeMo2&ldLkTxk6z6<L=?BCXhH_P*ShLk9&QS
z&E>LIi9E7~X!b8-AY}Bqi=Xl0xZUi>Sv@B7J3IX;#>E)S|0GEEoaDiv;|ukQTFkiU
zd$OeDtr1w&-q$|jvmQ+*%Mx;d1#6Au({&AuV0qxs`y(mbSnL=VpXAGmkKJv2S#oJW
zJrfzBw#<czC!hUnEn0_OUo-bIlxeUkqs=KF&4uDU?V~ItcDy&dDR(K;5YX%UW)?dx
zd|uzi=XH?-(`+0BZBz|m{Dlo$4VeoMjqCnu=i@?CzxQ*7&kTTS+?QF%;6iGiPwL|$
zZuI^`zxd140HztXZ+3@r;n0V>u9pINuqavc{mlk_u!@g-k=D+I_XiTJFF5jHg*ek^
z+e7+LnitskYCkvbS-iPBLY0Iyn%CAG)~KNHGfY^6Yduc7yx8{6Pyn?b<ZbECpu!%$
zO9D0D*5iJQu=0>yf;g<p-?eiS6(Wq=v!6Edpg_!CN70)?7)-uV&NN2>{@jr{`Y<o<
z3|Z}w|0ay5;&vBr$)$k$IW|z#;78Adj$8#(Q5-B2JXvyt0_!?oeo5Ly!g@F1+0>U}
zICMg^{Ifa*+H2Cbzat6Y#YB^Gb~_1t>G5sCYK9D#hn_d){T9G(uTN<&7bMZ|H;Zq5
zEg5=GE7dV|3*v!Go3}SqNn^~GUg?e5WXLi~<_Q@V!ejQz9J<eBF+YY<`8<{k-?rUY
zsOAtsEg8Y?d{=qwpIM%iy+VcuGB1DKwG_qrUwNn0PADKXV4wG=Yh<WjXr)Ko6vKBq
zN8VCzDWc8vhpjTnWU#GM3hbE?$LU%weNwp+ZWyZTyYz+(XM=O~XHH3C)~0D%_<}O_
z8~E_2kCS1mzHUoAuQa+3?#hj|RK?=MtL>786c8=n#G+pzgEfErtFxlju)bW5sVJ5L
zpQC9_uP@8taoK%>+Fj~cwI~)V%SweD0rwn(7xH+@q^cm1qKUHUfl*60si5TCH`tb=
zfEr1~*Jx+8ux4M)gF>o4^Z^e)OO7J?B(VtUR%j#V&e!oyQ~D5nqwJ$sz7k&HzuDnC
zqJ#Hlep`Dt8o;(YU$c~ol#z0h82C7+i<Jhyn;YL5LfuMV<Kt2lOpho%ZvI^lqY73%
zeZJ7(o5QhYqEr=q_`+RpY$T(ufImfi#RxvE@K>fiQ^TpfPAa=Eka1~iDP^Cj32d#f
zVH-+NN2WCkmWU)Wa=0HHIdIh!TJNi?bsf>b8*WbZ+1JR}ZN8p+^oJSr&Sd(gNonHH
z{I%}fEo7{YK7Q&n%>tgNUf<_bpoy%%#xp+G=;3Pk4T1C5ETQ__HrI4nEzAt&CcCET
zV)@y&h50%<jP3Wf9XP0kciIwnzLV8KYu?MI2SNdi0$v+t1!-aJmL!^*ixyU&(!cd=
z6+luAq6k+lOf|^lh;-1vHjjn$YF`HY*=arSf>#U2bU741iK*fDxnkN_4Fk3wxcnkB
zRucvD%^$A3SH?X7L8ne~TEVS7>ndFbH8AI=i&~hsB3j7o8*0(Bg1e9O*d>HCuzxLQ
z<d>*C9&5~am2GJS%&Fv$Tcp*I)SSJA`;`=iJvwtRm}Ujbp&p8soNBlu$l{mFRWWov
zXPFWuVFdzS`_Di7p@In?W{|a52-%vK`?E$F;OX1d7WPmXzxsW6oo-LUq*Vuxs(c3Q
zWrr4r14?+XW?N`oCO4{ODn<@_Frct(ue6h-BDN1F_vzna!z*W_<p=l~(0)&Jmh@E~
z&0W?!9d<BdLEcN%4X*$^{`~5RqRHXzrA=)d@0N&%TUb&Jb^}bdvo*bJl}3YMxmGpj
zIYL&dt(f}{9XPCWLmT2Gad$9N@qpeG!GFm)*iq{rkIYiFef`AobYfe^kv-$YyKMiA
z(?>1gXw(Dux|5<9mfX|&)OwUiE0`oJKe7N3EURix7DnU8>=9zkLqz(=8}7FT%wZ#G
zbijK|5TmQg=hi9)iOx|}yQ*Ohqh^(L_YMgl$I(MV?-~XP7NdHPd;ho-ebGg}h=qio
zFXjYERSyxd!EN_NDokNwz$8mFh8HFNdIhgLJ3{;-C>ON&P2u2$xgeE;>v7^xHreje
z7||MDJ~DRL1cr?#HqHifVeQF%7kg92i32gxYP$$y5KnL--~Ysc%sf(ovV#+Z*X6};
z9<s*Z7^~4GahM%RBk6C=vZsiRUV81T=Z)aOByHG}!iGh4$+Ry~Gen%7U7`3W4K`Ld
zdt~Xa!^=^ww-cl1i1K-j)wG>7$ZsheRXxgzV~wX~*>V?%f`;jph#Et1>G6`hR?C7u
zJCf@4dl!i&=hoa@b3>5ql0EjqnFW_7KG|M0Tp{Z0@B2%<GJs7dWZnBXS@6}+G3lU3
zYeaAG;H!7~2Ef6^_Oq;)857>YEJ!k=OZtLScCkLV@f2(6b~9s$x_J3q01J{&o?NLm
z(}$t`ZjN`?n9<biNLa^DR_toFe6Lweg@@lP=}+h^7&@jVXnKGR=e}}3>vpEXj@R*;
zf$1!mmVclj_b)q+2vxhU3{fEcb*Y1!EGs&unk=(C<HSAv*{o@i6p$0NKce~{D>gJ<
z7I!(vjo;IpxAsd>V5E|?)E%-8r+3m@#{O~e`=e(S%;jX*d$~4w!kG=Hs^wB_qxmp3
zXGTo#5E;k@e`eUXv*W;asre{R5<Ze+l`Y~UgXh+metBOGv<*)6l1dZ6!VU++nn*oR
z4$U>c_>>dbC1-ZD{ma*+i`$WH<GPUH&P^^MapMVt+vW|<!q_Rqt1x>^7Xme|3tmZD
zkBeWXTtz!X@Swr1rti}_(Aw=OJ!8j<Rs}ALjS*s){p?hp`%N8?irrjcqRfx=qI;h+
zSxKNuSfZ?uu@3xdG!JvTL&5_^_Qx{RrI02Uflag85RsO$xbj>89~&h)`RdDHZ)ACT
zMXffxT)Hb|*C&WOL@#aWIwXffsd~3}6=}oYx5C%2k%jSq_;<VTAM&_Z9{o3<R2y8&
zn5`D>iD1`S%l$ZMMa=%bPS?Iu8yK7xr(em4VS-?9<f5+<mXiuR&&%n6lFpj&b3z;!
zI0s|qT9omf|Hf-F*LC2;4k`Bwk&<X5BjPQ%SrzRrcl>u%S{D+FUq3wJCXG@X)bsy-
zR73xlgYsv7>Vi%QN5#r+SsbN*e{b!sfnwXwn{>D6!MrN(r6gl{3^CNrwV2aHt>W^c
zj&o#~st$@@+pd5r5jI*cZ)&5v0NWEc8U?D~9iEpAR>ZyohZd@2bWvK|v@V|KU#<qm
zCm%gh!mjseA1hMzaD-Flo;aI6a4iHgVmg#@I6z(aRwNk%m`V=6l{WyLx)6(A0aZM|
z;|WuX6a^FRX$Nk1H-yb_mA}MR4PP~0NE%F`pyMe=3kiY-fm+Lw<Un=Qj?+z7TA<)z
z@#`)5=Efi?yH7PLRs$X9uKrk5r=o~#?EaKy6R7j_zP{nECf+l*kB(BKBGEN0<#5If
z>JI&sIufacBCV#(j^h;k8SY>ssAd7AA?NgOppE;*nyq@yP;i^e^|*j0OUQ1PnHp=+
zMtNqNtoRRPR4tK}^)LXC5wz!RrRd<2^WOR{LJu#}4xhR(2~d9gU4?~<4)Q5FzR$m`
zgFbb83;dE8P$XBCS7EAyZ^N>p&i%Wyw8wPf4^=DB^3wcl+@p=z`ia%X8tN!v!2P)O
zjup(`WmaFa)5g(8f!(i+RQ~nu>?^K*D_Bx4nW_!Z!mTV_!D;4-*n3$^VTNQ4QyU{$
zeFHVocOY8MAX65VH(h^MDPs+t*ZjW*F*NY4Wqaz1hy<1zH&S_dt>JswOl<6!8jctn
zX3x(F;eR~Sv7x<I5T5kr$b6_O)}9`uioE7SgZ=Tk8#Aroyb^Q{|MM#2(u%>*Ja$a0
z+|uyV(F%?}d?l^*FRxyI^f<_O)`-}|&%qY}XF!<0rx=jTRBipDR{?vssk8bi%n;%a
zo)_@lV1Rh$7H)Spd7S>JFM9R)0C8ueAh$t=0hZEI!e44+@SDO|E3;MuQLT4#r|(mM
zjv;~C>{&@9r_CtFUq<@rmYzHwa{&G(@AC1@;`q#KMy(^`8$B~?#?LpA4s2hNyEZh4
zpwt)I^UF&;be$R&D}ho=csJhsz%N_~&yH1Q=p+o#6C`YSLw{O;N7(&@?0x_I_F7@^
zy7NQyIp=jtx413fTL%YsRXZPUIr?s%E<H?dD1RtbXKoIq4{Zvycdy5}%K?(xi-zd`
zeP(CfbJ`55sIuh0WKR4U$>HU6b&$SvGNak><v+h-9V@=-&W83WiqGd8`{}N{O-81F
zP2g>sfA+bbEEpnKzrLWbm###6N7vb40_$JwKBSn#gtGk7KW27y(`VBQRvHqF;f<ZR
z*0RqELAL1u(u+>IkP-9Tmr*0wK(mP4%CShSDCgBX#I@0@)RmQ3Y>i;vZ}+X|Li0q2
z>b1Lc-_P`mAHu9f9@9YL%lH%Ft20DYbeWSzSuOnzWA9=MHw{=%#2t~?HASo+b$L7S
zxSVd*;;hYe$`AtD?DmL-P7tK9$Ljf`S@d)H)xDQ`3}9W=SM8%8e-nr4MxQ@vXApV^
z=EtO*48Z+Hyiu+87{S)B<#l(pjM#j%VsCb>K5*-21^;9kA#_}AW*l?g6Y0$Ztm~}w
zA!0w1dZWb<L468Z1_B=mo+XDV0fGvzgS}cUz6}t?HQjFOm0Jj5j@!#cbSn7x_wsG2
z?kDp1pSVz=`;{<AsNVPK9R*fghu-?G^%2!#4Au@xCt=I&a=_l60v}L3^FVkX@vPz+
zm15LIG&+Q+3$&5p>ffeVPNP1;Hz@j8OjZwZ_@F}A`om<{eSGsD56wOzQ{lluqq06i
ze)}C8hfzH!aI4(xv!joQe)fV-vul7rn+GKsf_gA#XWGS^-$yXr@M<xT9wsi?Y)kzE
zy1-jHrN?8~PslJ=A9f2GB~E19s7RgGff3dlz4K%J#DzT-Z6nja2oJf=D;&?YAy?+`
ztbEe|QO4}{<ao*-Vv9nmUh23OY+u~9H@at#c$>rga?oUw$Wy-|R;8~64;<T<$K;2J
zX5Ue3%G)Wzo7F+X_pB!T2}7}@m=Pk`(={vHdxj8Ryj6SiqXuX{t(%I~8zY9r%4zeo
zIYMVyJ5)+p11>7MeGO#&O&AZ0>{QTRAZlxuibNvSq3%qh)fK)!#L@p|etz4!NN5P=
zcAoE2gVn2_<Xm$n2)~cF!;WMv6Isg(5hrZaz${7Zxc%=*!eHx-N0+H<1j~uXAN~}m
z!cA{_W%-V2;v?;+QpFk*=0&&f)lyW2)a-(WS3hQmT$3|?{MT7<od2D#W0DGJ2Nq#Q
z+#Dg6|8;88cpVmoMx0F-RRQlo=|;zZ1>%m0=lu{NcD%1G5$=<$483i7+xRXm5~mY#
z_(WtlvHz$>o}!8}q}o>{C)Y0%-&WM-(p<SQo+@l_SE2;J2ei~owyqK7rSH!>f9AnE
z0sm32Z&!jE@8_ePoXpsHyhLF53O`Cx9z+$*C_<*Vd!X5^e;(z(@5LJsK+f`}whs>!
z;jGL?u2R!=Xn$9Jq52>H4;t*e!r`h2Hg7`~WCYpqrRat^-U4BK-P%L{EvpE98C#vB
z#5vK8KCw;zi71lo&nRr2QUC$Z2}AE4+*ob0s5aj$j@K1b<lWm8K>L*LXiyaoE}94Y
zRisGay*ud{wT%j}%`m9?X&^tk(zT|K|LaRjgGuw(oeH2*vSB%cDu7ubD&ARJ<niTB
zst?mTMc90WEMomh5H-QQvGa=pHc$uMr0f-;I_1%WBe#W7K;ZZG;0Ps5IoJHw<&`3w
zyc8F7@2n`gQgu}pZB=mo*rI#8y%OkI@{dyz#WC*nx&HMOHFVYF6|4|chV7>#G88){
z@l!#ot&*t*O0JjQ$S0%%ay>yNZ??){;_##WGVWT)bl#?~%taMKKZ&q<Ov)kCu-%=?
zWF34(d=c^OR|E4tFBPeS3b-QLU1&I<hjwfRlC~c-;6c-;OO9QNXi^qvTr5Gsj;&6g
zZ27cd=$M}UsJ}8w-o5Fx$&88{1)g3?{7)B{tV<*01yxbJb3@EG2Yr;=eKf4_HyL(q
z?B=*su7=5-E?cT?4De}fZ2`T63Yz`cSb1CngR|L$LPZSGUq_mE>uUpeeedV5Fd;2;
zA$|27dTNMccfb9>DH=@3OApvR(Z&>+9{Y$jLzMCRrKPsp1b#i|V49NC#Q+<DrRXI?
zOjl67ulR3An_2oVj(O?fzK&D@u|z|3Jwu9h^s@x};VSQBQ!*|#bn|?uF~CFoV_z1+
z04hG*j;5uMvA>R^yeUQ>gX}qOl|5sCP?h9sp(Zl^>E(zLoTXsFHrXQsZ>@mTV@FB*
zLdK9qKj~fUWMnc`KbDto4RnrkMJFDU(Mz-Dymz4%?!T#B)akJStV;>r$2Me~a$mcV
z!moyfKLb;kyEniz`LomXv40-pptn70uOhO|?hzeTw1G=^jx}^l>EKSIH#@@;q;R&d
zlNP3H1M#Wl?Ya8eDCd<GdX`TJU;O<%GQnvB!$C}kcA9JAmfJtOw|!toxx}HZrLQ-@
z)2m0>ie%K$_jG$o#Pk%Qq~}~tao7Onre}t!!z$Pv$sEJtT2E)hOxWG~U=6GlwkiF&
zN=V-n`Y0@YmR|AHV7sBQHMH*bcv2gnfZsgW)}<{m16!uzhOu-jc)Kn1>}-N8GT*DZ
z9&wTbRyH=T@v>V1rtjcmoRY+Xr7sIPC)Wem=1c_oGT?mH&6}bzqBz%WzUit3A2<zN
zkbBYzkZaR%a_W~L_TKM4AIU|6^A#_VybWNrN5VB(i62My`Je1hAc2{)HYFyW4ytu8
zZ(U#E#JjTgBC_oyXo?Q=w7hEx*UUK{g&$$X_@w5po1-L9Wt%UTeqsR&&wog^=PeUb
zvQ0)z9VGCf$)@<!n!~HQM#i6;(*%pJy2tur5>RhfHk;0vL8e<LchP@?gr9ighR7=<
zNciO9a8b()_?U(Yd=#39l~-4z+jf$`mBlxF(+N{>UC(mg)S-$VePHNzhBgTbp6}Fr
zP-+6(Po~~#?dYa^kObSict~Jn)^VHQF@a$J2ccK|$LQU8^vfl4{O~!fns3I-81iT_
zO>fRl(bpnpFV)ZTg9Z1kbx#|Np#Nlf&aN+W^j+Q~%eQ$+pj8;R<Ft_xB)aep_|z}b
zAH6Xy95Wz6xc?@$sT>+GtOZ?#POsAWbPQVr0!R=nrP|viPlJc%D*|y7OtAUsbMEf<
zBxwE^Cnb<>2m|E6HK`aDD4W}PkcA=uiN14g$CV60%Qh=^KzbdNP{vPly%c~;75xr_
zPYpnndE<&~1{+j#6pEkOCI|)R<|Csl4Z!>9LH96O4v<j(`lp#y2!g~HNBmp$A=Gjs
zmw6f|JTM&3O8YDX2Q#v2-UjGHN>4$BxdJy-NPL<1DienET^C2oMD-y+nXp=WwjS<$
z37`7-Mg-V2RgOQXq(Xemskg<Od1036@t%NoQHV>3Eocj*!n}>h3;P8=@HV9HUKA7u
zN581bIvpxVZg$`E%8djLW_xYdACrKZJztwxCn(TaKuM~y7l3sKIvvfwOM+Qv)uikj
z3YZyk$o|?W2=@%4pK_g$hMZcT@1J8RAoyTHB+p3*csx=j-%81X==S#+zkDg6%6qNT
z-Cr0c*$YUghvk4Ar!2j94+XeqCk|~$7XiP}7jKV_$U`9epIH@03annc<Z!e{6b!a3
zin9Dx0K1%ntpUyy_{eq9I@3rTPGx?qa$Hq}jOg0q7mre)+`{3+%}fc%=lGGSFRct4
zm2P|~jH1Azqgbw=q7)pg*<H?UqXItC4F&!L1-=bT`D>L(L+9<S%_%{u;A_!uXTm{+
zrnCnx>IY;Y&N4fH?x`9Cu9i<;KSTu!IoC32K6y}1HfMDmQilMK7oVG2sqjK1BoAlg
zL9z0Tqm-;B%&_Ho?{e1%sV=n3?NtDxt&H=|7A;8n)Xq?2Hh@IeHW$7&MHskoG(pZs
z8(K=e9}d4UfV2D0%-nBKg8xDXT_pc`7<Xxf*ncsGfEWJ0JpWD^wBwbcxZQQ(*pp#3
zQaBCl!ZY4)E>VFi<fKQf@_KNy?B%YYNF&Jex&CbJp(-pD7hIEip$CuN3lxRjHHK$%
zr&g6NtHDj*A)!62WLP{CTpEQYAi2+quh~T%giSV&r}L0OWGwi^k6BajbW>vVkTl@x
zY{bj49zEcCYZr5cVh*CDkZy?=8bA(TIw8DI4-BLa-oNW(0cG4Lf1RRe!nsDr>V?a?
zAhg_+>zQr|@L);h@J&s)o8!S_d{75?24<Y6D(RqM{rHA-r6&As+Iv!PS_=||!XkA&
z0sQoN7CJv@f?hoPsht}%p;d+RXxYEsn~CdNR(Pxl_HP7!P9IQ*O;XHCcPtrj=*C#%
z7Z*+VbZFMfY?mt7@HVPljb?yR&xou;hX#D_$iCD?QwF;|k1jK+7;x|_@3bvV1L|52
zd~N4fgpa_n#dm-Kdi*6Lr6<(EYoGM?++I0oenZ{<aDo9=^aJgQ|LztqF1F?JXDJxp
zZk5a!Vn9Tt@6Rh2RiQ0*)YzRx97Mz$FWS~KpknVJTigj12tR-L-KWdK@UY2OQ#73c
z&fV`0ezsGFp;KOe-g^o_;Y`O)+anC{J~-Y-l~saUb{_%=7hYKT5ntpd|8IwCIc_$Z
zP=Hbn;ZWLRPUs0GMmbvmzLbUNeXNoPy)s$*(`D;`H1u1@ArhcDw4@{m<UoV@gQNc?
zX1I4Ko?S-`pkIWT6ycG9xMSH+KCwcd^XC2;e~%82_dAy=PDw)Tw0w3B=OTU2kWR<%
zE=w348wwhl69={yqD4h#p581q`s1vsB}ku)HSm=YgPL*8YEiRU`thu}knR%}a8T1s
z;PFurIFp}Rts^i)Uzp2Mw=OY<m89__(QQI7Tr~QuD|VXR(JprM0;@TQoUIGo=`9Fr
zhj;JzbAOs1zW0ozk&_wJE^(enQWSuig14%<N;7mfox1xqk4?dR$B(+7%lvSBU*6~#
z_blB~Ku6{DstM%A+CL%x<%KBw?8qhSIlBAK6Cs|iCXg*gOVTmo0jXfB@3zW$`prI7
zuY%Xc5JIadi7ny=apEh7O~_yRZ_{l3eR9Siz+ss>?ac)#!{*Y>2bSnxw^uv)Tr-03
zN891g9!`js{7_9hy+WUM@>uPfrNMwsj3O<91I7nD=L%n}(NAyeEh;`rgI_~zmvTO{
z!@a)!Q}W!*@YN|v^7juz80&`zhn(4g_IA=qcPk6*vt_tn+ieKEPm^9Zu&_gS;Bys^
zN30OL18i@8HGtN=SD)VNV1spHjQl4gHi)iF=V#w*0LLz7)it%V!F#)FI>+PKA^b+p
zMwUK(_^_`cymgfgg2M}UpVr`nbLEqF@A~P(VVf)q_f6~&M7irZ*}(-X7lm?qne?H8
z?qPYhm>tyof1cizvmSzddL=mTQXwxlKrqRM117Y*k`E{FLPAw_t|65Q8vA$M^IqV9
zu{V4?f|>l#yr_BMVKW6%xIfvfHFARAW^r%ZfBx`9q^0Oi2n9%8w9yyUTrhcQAS+Q!
z5Oyj~F1aaFAb%ZoP_2&}C~<%5U%3jwwfE1;-2Uy{F_E!%Ta<aAWjWl~uUPosAMe%T
zj3L8GlSk|hH+bRt0hf?y4N=&>D)qa6D;X$L4pT7_{6M!Z+|X7k2Fq7Zl-w32gA~i?
z-(6lLNNd^J%6dcsd~&C96B_m4e*gdg|Njh^cR1C56vt)nz4zu`mwT^khQ7xYiXyT_
zMA1S~O4%hER+4076={mn4}HHzRyL7UR#DljYybRvp7VU3_w$_ddB4x=yuNRSo--dD
zk%(w}L6iWwt)-aS2qO4sX)U{W@Poeh^o+K+6g2t_mS!Cwg84WUeh3qQ(=7Ip<w`QZ
zHf-?8S%nDpR7$34nIKH82XtI0l7;Y6$#X$6L|9h#GMZ%+1_go$-`@^7c&2S!|A|6`
z3ok_n!~8@*KktV!ja31jLDoALA0iA5<8x9MMPWn8+p6t|B4nqtEPbpZ!dUQDOk$Ea
zjQgNjEYFl6BQ(X+Qi=rO19YvvmXcstD19l6O$DY3a#I!qNbvND`>RYDX^{NyK!DOE
zRk+%5f;>D(f{f?&SvQ$wVU=I?%kWPeEdNXy74RU#*5ugPQC2yySiL1{?VtvaSdv7d
zcgSEQt5@JJBoDbZtHjSJ0g}t3zV}sV!u)>KK{dPrY^k`jh>L50brao=Z7KyE#6Rku
z*{=vruE!cnU5UVyLwuf`pauBu)9~3t3B)U6T)PcPaQEmVH@j!r(3Ws|jqjQ=Bv^JF
zr@bRV$NZ-+nnOB(4_=mVk5_@UKgq-`PBO@d#HycC(}N`DAfL??Rk-AkAC+xPhK)Bj
zWfBwhf!gZwJvSByy)&=3MGlc+Q)FL27Lx&FC2#zfc>)irH3}ZtDr5jIb-B(cL&yy=
zn-Y;!gTJ=F-fVP`Ku}@aYIfTQ^z=V<UVfzp?*%*J8O%xW#3G$m<d48Zy`;)o0RjZS
zTZmu~CPLzg#%`ID09PVux?<)8(2U9^HyEo!gz?5-QF>!IRjqP~)sz6aIR3!>(rRGY
z?j6H<+Za;z;{1Md5FqI=Hd0fm3aZ}Py_##r;G$<|&7PqKA*dTXA}hm;r}6oXLsTGN
z-J9|LA0FoCM+@SU6+rcttDWu*DvX_{w-!{uL&e#zuVq$bq1%g@Q8Jqf=Z#MK4JzQ^
z&#mD79sQEf<JQ$FyIY?>@vLuwP8EcH@os++6or2<z=p<9f!erNidL-*L1VXZXG;a(
zLv4hpoHG?zg5ON`_$fglhbmC+^MLv@G4VDrDsX8xhFS0^LK};T`J?|>;W{at<kn&g
zkK}4vvYyLBEb~s}#uz<(_D2l#f{a0azw|*Db2*61^LG<r-$XL!oNO)#8Ux)%{9dD8
z8L-ll*z}TLMg{^G%AUUl=;z(5sH`motYu7Z?l=8KKE4i*<vsxLyjahmzC;`hEAsHS
zsbk1%LD7)>PY6uhqS-&N69vWWdmg?Idy&&cV`0%V`=Gz}#1%(rVVLqW5VYfLM#4IS
ztum$e!RvfAwxj%lpw)8cK-I}gWF+YDIpd>7@Sc6B^bVOHq%E+96Gd+j6>M*a<y}K?
z&mr1wUE_ree9X!a;U#jU?|KT-Yyfl}rmD|IxuAfdGM$TDinuWp>7L*+fJY}I<n^UE
zV3CVE=SK^Qc&yA_|6;!vT7QS?{dvj?m=ycK8bc#;uo&C8l&25uo(#HfA<O{&5+igA
z9f(}=uknMcda(JXn|(N$5$@51@gHyXBKvCRHWaP&AnMNRp9z2IA>Z?R!~66hgwa_?
zedM_=oa$q%&ko-M;{5!!lQ%|@k+L}Lqnx_nnkZfAY(WS2lVT(&KPHfviR5jEi#o8H
zapd9c_-#b}q*Usv-4s%%N88gdqzx`X6M<(YHjy%?s#=q=zsS<14YnvtZTK@+zg7^x
zfz0PTRa(9|hs?b)y?y4B7BmjJRawTYBSm%W*{M$!kPAJ=m8Z0|V1a(%p8DrCL_qwp
zS?HZ5WcI>~OpiAdc;d-CH)gtqh}7Yuwr;K<__u+-Oo<fua`9bn1H&3(N#Oj&bN?T5
zaa@*>wL}vh-cD$vt<w-yo(gHB_iIRlm#Jcgo+eE8IG;MKx`vGB(?{J|+CT)%58G|j
zkYRuE=sTOZHN?fg3NBi2Bb+%V74kM@kZqp4gh;L<x1aSD`})uUy^`93z&HtbTq%eC
z{a8mn>aKsdT(JkH9@qwdy+Q)cAY144?hT~9D<t@XG6TeOTiXZnli;&)ZLBwK6UjZA
zf{|Y^f>1|8)y{DuT-I&PoIJdZgx<3*m$hbw;@dmcxI7IARnU=W__~9nPT%5K<!1%P
zE9@@MX4OH_I5*-?BOOT3hB_VFU<1J~x6XG`)!|Lxy{Ec0d%$1unx{S|CnUJXG6_E+
z0Np?iEAovV*5;iPUmxTK*K?79+sp(|@Y!B2=VXNA;shz4W4v&A^LiNNiW<<n#u(&y
zG6A`4fyVQS517lgzC<nK;ep)^icUW><k3H3Fp&~~_N8e2&+B*yxRqq|?-DD7vF+ng
zeIW>(X2v}?`SC!%-^V?7FFP1dl^R;R3B!{c`jyS^ad7Hz^+gh%6S9n=A6rpG;e&+L
zoZDF(Jk->6Za3!!Z^tCkJCZo;uW)40)5O6cqxqb3mb@_hMU;2iQ4%s!b1xNh;ow`s
zs)+YJK4?#fT2L>RhLkX_(f~Rfh=hm9C;#OK^X=Z3%Bix@?lOL~WVfIEgQd01M-UDu
zN#vQ$%7I4W)gn=S92hJ2G+$v520O2%IikA)blDSccE{jA)8pc_GbRE8gWRciek#JB
z<^ASQHgHh$Vo)b3TMTS*=qKZ7WthJ74sFW7gKfXg`RN=9Xeo|%LbO%kM4#aq=>Rnl
z*sfp9ZIA+bevxCEG#oUgP2B%>jR0@a6fs^_S#Z8n?7Oc)4W4ohE?lfvhnoB+YGa0S
zF!Bydc==czj_)1t^l~6Vao}I}wg`E66mO`Le~t*%r<I=#q>-Q}ZJjZ$QvqI?^j^I1
zkOaIh16a{lWSENkA=9p=1U@-OYHZJtLEe{HGi6p25Z$O&qdUq#tnuIKSJni6--87$
zPFf(X{9Qozj|v!m9(_Mts|lXA1!a=cyZ`#t&yzjIIIumH6%wsWf#8kI;mv$qn0;IL
zbRiB8f?ZO?o?r@$kvgOeL-irBg1F@LQ4LChxUa-rqkwV54XcW?2H<cZOH{a?06gMx
z+H3|C5C{?}J@0J<1NL$O%LVH2w&KiA&|6K|)(LDWcS0arQbJ0>S_6)LS9Q!ECWGb;
zzfsu?fEld_*`;y~@P79AeQym3#u&YQ`K}tnOIIFJ`j7^g#%IX)cWOX}<V_1L11daI
z>T~{4rUA7C9L8O)1`o;xgWCtG&{X%N`hkfCoQY9&k#<ytQyAlW0S6N}JXes?eoGxR
z*_2AcI~76TJv;r~XC{F2eKY^*76J6cjP`FFlmqD)-W!G;CLrA}z<bbA4cyO}FfCyc
z5csJ6iC>oq6kKeGbsNILaRa)0o9;reea&h{zr+NNfBQrxn5lxT!ovBxcpk`_%EkQ(
zGJ!gz@`^)>GUOh!_!diJgkuk8noVU*K=N=cn|7BX&|HUoTtjHc(=QTF75<|_{6YKA
zRCWb$cQGq3>K{ignHwJNF{i?%W0Di4rg9Kl4$oWWt5C7+(~a}3#&GlP2ZIPv8Ni_j
zluz0GLb=YyJkmX44Ai5(T<nb!pwdmh!)COIT6B(d-RT5KHqo!w&JzVQlWRM&e*e&S
zNZk=uJAk>$MAqYPgg`Jh;5Y-<2D&wriy4$4(0ode=(EHRtS&9iPfl*3W^1qaovGai
zv!m%VqJF$^L74A|Z{;>RDCXmrHDm;WguFyCV@^m@Y1Pp_yo1{Ci8z{W8$xNv@k2ZU
ztYA}p{k6E|4m$nmsMsl0Ll`#xipxIC2pdVM@?S=_(H5+?uinJ~1jneuzyHvI>T3Cj
zEqNR59L^GBeXtk$0%f`OHEtlKRD;w_r(Hd_V({g?`Y>%}Z&K~GioAV1XlLxViN4r+
zBkv)j4`Vb>PlZPdh@Z#9+P6^~DEf9>?yjF6;QsM;Ta^4k%q4y@wdJj&Q^T$N9ksep
zPFMZ-KioJ{|M<5>!{8d)y~e@XEUgPAwbXsz{(VF4jWl@TG}q9cIAJD*a2=r2oz&{p
zX-3Qo+t70_XsA)aVr%?_Htg>WWe|1AM~2@r+`VW;L$7hTs(rE22D^E8y^8D#bgWD0
z>$Erx9rNUw&8pIZYT1ygg6=ky<@VV_Wdbzx*N6VmZzL_KmyFxJAo@^Nv*;1Qy)<+=
zL9)%NkOB%DkDCg0zM~)7MJ{f~)6hbVmXsj{3KXs!%lhp#h8B0IzuhOWtFw@B#Vbz}
zG#zr|Y(jpb?<Ex1a~sysPEGgQO}joJY%JoQd~OPDts(b_zFbG~Wff*?FUhc$SRtBV
z{ui~cpoTWoZJ@3XvW|}Gks)tix(P{S7R?&6uT<pSLPM0x&jdA)V1*@B-z;z*4Z60)
zz?`&=?hg(-Rpd;9qEGP)EF%l(87Hb|pCTQ0gsXLO_4}^Rwd(tJIxL}+HsTh3(t9wW
z+g6=Dd_;JC{+gQ4&@vk2*uOZXLyu+h4Th~+YJi-G=YapERn)k%^#d`00gGBadG*3Q
zbqL|+Ub&%6LnoSKeJ{5#Vu_|H5x%_ycvdPsNL^k-#ZH%!!HOAkY_mw_QXv2-U~$cH
zd;_)bR#)|+v0wtC&EEOpyZNZ^gu74MLYZbP4|BA!VGmzqc;6hs!_(#E)GLy7Sk-ai
z$;vJc%+_bfLe2sY&$mpU_So&gl<huu+Ou<GMWuJWn5uA~(q8N>SxAowHupS_G33R1
z+8eS)cJnCq_tD!rVvLxll<iD;5+9b@KN}ZUtqQNDh7@&*nJ~jtwH7jq0Cw8T$C}Ar
z6+EJ=D&0I;Fr9z7cW-73Vh63q1`<|OpnyEXAcwGF1A`XKC*6cGrFWMM3-VQ9i4dBg
zcz^?A@{iL`HW9^);<b-)daHoLoZ<4`2rlg0idJ8{ojBH5`)g-RTLn_hUY&9O%Y((Y
zJ8CrFm&DqHeAtR5RiH6+ZLZ6V52Fo~XZ)j=!Tcg?i<~4>K&bmZOL`eU_EaKBR<}zQ
z(_VhU=(+n&mFeFgp8bMYUP~yh*H9k&_n7BIqn`@Y{wI{Fyex$6G}Xu#Rx4nP8^LiJ
zEh=Eg^_MxnK?G|J<R5YOP{Ni}i5h*js=#(P?7=oFhCMQsJKHOwg8g$i<5$dz1NrpB
zJ-Xi|u#3q?zdL@aVxOww%}C2QV9b2ISR^lvT^ep%d|HpkGS<8j&+YQt<wZV?lV-A5
zuK0r9Y$*W?EZo!iA(jB6e}0$++>^sT*4(F;DAK^vB__5{g9c1mS2Ffb$YZ3L`U}a2
zNZ8#p4SG!_5}bW8D<@!~h*?zn@<<z!v7Ax(spUY1obeR7ppQz}hrI!JY$P->!_72$
zr7}$jK9=@|MMDL1&%YfvHlm3=@-y*2OVxr2|Hx3k992v+{Y=NvC<^xOkm$7grZzNQ
zRZi~Uz+*LulS!wSDcA{GgvYDzx-jC*S2^RQhTU$tCO@vGh3R*a21ZBq;ft7ByhAnt
zYqtA3aaCFi6A>2C<=-%XS2;@by(Q{cCCx@ssE&da$S1pRNbG~kR?Ri8`x;or5nD@c
zQ403tzb^VZF#x5k@-9T1h}EfjPFjg;Vo@tk9$XYLh65tX2Z@P9%*d_7nz@678BJY}
zy0v8t6J72844FiX^L|UwwOblkboDRyqqS5JfBNhpgA)<ElYYj_kxdP|dEs={sHX|s
zpg*g@Q>}r;ra$M)u~5MdOht^n?J<FTGn4Bd2i389o}v;`paM2nP}CqPz8{j63{vP{
z6ENj|F&FovG8kXE^G6%Xevlbswg0$Z4GZzZD{{(;Vp1B&=#s*I5O?&sms5ztruN*g
zd>zS$33u|BURW@JjrR(wk&`MIUtK_es6GouFnPqhFV_TIIApHta4TbH7LSo?dDhXw
z{gPe0Mkc^3Bu!paRm7e*h|J`Vj-oqPlXEQ_sZeA`V#=q=W6O3?HaYS=$dN9I%Lxam
za1i=)v%F=o?uxXJqLT9nZ&yL>jnBs5Ca_5uB1mCxf`ac$X3~(7I$~%mVho#sBe!2w
zh+z@rhMKUcZRGTW$RWXs-TW=S^x=1?FgCQ}BES4{51h&Oe@fB^&@LfSTCWITY@7QW
zBvlz8=!8Vj{mTd>748odc+HF1RejIl<zNKAUluWJH+JXy=K9}ODknCQ@SuNR2qReN
zrY0SJYy{lyhy3$1Sul$ggRG_djL?$)iRe>l2u6s;#KAKRSOdLSdE5m?==PW<a!eY4
zr<HmP(R2sZu86$RqrwPsFBaHPaRb0K_8vPOMnf-t<5GOqzyOcs8kZIv_Cgr%j;(0G
zBI>PC?cnXs0ELTXWn7Q-VKmj~R2lytRMHJCxxGpcdG6{E`AZLcKUxM^UmQWNlpJ@|
zNu!5f&Ogw4Jv~VLLc20@sU3~HdS*D~AU#BeO{Sho(ghD(p(9LQMY+BQ$64^uLlJ+P
z6>UxjPK9N)?i4g5YOD{%nx^-F%dxaW@^(5PsOgqF`>G$IG%grDn%D#N^u+^dRoXx`
z@k9w1#t>dtnoJsP4@iez8IvSv!;I&f;7<vYNb*2z5FSqtp0N)zLbA0$sn43^ZZVBy
zjEmem6+#bFwAaqDB3i&|)gGngI*;7n9;w#(Ll14Pqt}#DD9~By6I>U#h{&0bpSu*o
z0BI7hiuHvkP!mHwG#k8(Oi~nM83>FJo49qTG+h(E9KW5)7qE(CGsz4M>@b2vh=}%G
zMNPOT9l^iiMMH)u?_wnXF+sCS{}Z%?3>;w7J?yfM{P^`>xTF9JEX~WFu`?xu&tNR+
zsp}>(Uz(A1#-0`K=IvZ_8X^I{>^5`HxoyN9zc0EUWrHp;-<Yvr5~THB+j7|D{dGQ`
z{AfE4kR_d6;uj^s?>VvBXXo~SdRRtIn-CZ1wriN+Lx|wk!dLJ1gdQ#=;D*mJ^MJ!V
zW2bSO2Dth^d3Je<0pRp{%BvJ!U|`Q2q!BbgpqpB~WX=Tj{<aFs7$5jQ`jfYrst#us
zS<*(Tnc?kmskT-&0oeXczADS54u6jpu{k-j!nG#8{jwJXA^b~RwpStnRu%IXZ}G7M
zab_lck|qSM3v9eJIRZGEk^Ys;aDd&k>4<us2nan`5V5FLgN273Tf_w}@Gwo?-nt+L
zvJ1%_te4e*d)D3i9S<)Y3e;J#@sWUxYBNWop&ER9@c8P45g$A}n69>QLkcE+PbYGV
zs)1GMd9Cpq{2(3hE+D!^2K@K2ia2tr!B3o_r28)cnEoLc6(u7F-G~P!znd><2kW$F
zy@bF?$amqIpFD_r@HcN-s6hjt>2u~CVeotIXu8&=0O8?Rk56W(!SY|@LqEzzVHV}G
z);OdD97lrEj|mfYxyF>&IawT}7T7i7zA1xw)llexN&@^gvwAdmM-qm)Rl=`dQUzJv
zM@6*z>X7|qR8g%!8W=y8tx{$15ZP;1vz4m>ivK*QkNsr9*XKuPR)-q6QKARdW{EJ>
z?_WKeCI{GlQud=Lb)flopDzAHf({Bp;<t8r5T@#8SrUlwEU9b9zlaRi+m#%?@hZZN
zn@{sxJV~&9j&(fqqb6Lu`Q7`5lM-kzMa3SIBttLdYKHtg1sJJnE9Y~Sfv>D%Umi+^
z@>d@N3l3?6Qe2)1&u<kV6?Pn%plU*HQyr^ps}8jJB3(^NIM9i@xf7VF3B;b8Pp+NU
zgVh@qZ#ItLf#0X-Uw6GGeDorWn5gW9f3b^r%@b-MuQJ+w?t>=qUJGiDUNC^oTrKIa
zBLon{{NdzjP4F7ut{TIPK;zy8{2zXGc;kQaOKAVD&Uc5K_+t@Z-!mu2m9x8dPm<)@
zSax;RE$+A6<;^&C+_4u+>QINhZ3~_!!db<s=HH&ikd}c2yE5%^Wme63-jnLUs99=;
z<EFxb(CU4LZgu#!KoF^k#={b;PEpunDv0UXjv5|QhpXW?ZD>Bb_fxduO@3w*m~vy-
zK9ffP6E7RL4@5;+maTE+J!Ar6mqI*JU#fwm^6`)nnk+nbE$%BlZvx*ZRe&`L5ANK4
z#g<hPpqs96OJcV!(i?QT9EXEh3hSucoDlqRU+L{XYyuo}3K6-lR3IiuGP$^r7d|zc
z#)Jx*z*cUqtC)l`Kx|j+;uZ^NSs!@LTu+4qt#f^9R~4Z|&&E@9b_dyLC0kzbp~8(K
z!Xeczd3e_2vN#&Ni1?m-F6FwL`!;65U-xUsf%5U_Is0G3$k{xtPfd4>A^WBJ)HhWb
z@W}eQ5G_=SUVSKL$s=qGr0WSX&VrH<6m4D4KKTQ+b}FSdWC7Ilg(+N75d&t~gy59F
zztNf6K9LC(0P`3@BF<MBnqMof+`KlAGC7Fm-93qbixw_beLw()y#Hf%Z(T(BmE3;4
zir5GD3_cn8hV#LB)`XvJD$8h!YUII#xkeymn&@-t4L9hdc-5O?%jkM~+Oe5tLrC0Q
znmN(H4xJDG9%-ywMqe*#8MLe$fC)?CLrq`-^pW6g#be9p(gkv6FWCT;mBgd}2r)u>
zoQ!(V(<O9hhne)%e=iV}>(bs+_W;o*B)_F<5xrMEX&zFl4_Ob(Klw&%A*<gLKhu3!
zK-=|VRsDAKKyU4BLom-8@<ElS<3#Q}${rRY?RZ2FJdNUxk(E{ur42S5O>_=jCQ`z_
zKh=diy_&((r3=VF`Il+mt!Z@hUh%ni^t!M?|CW2gV+OIh6LzX?=MQ?_&{pNHmkubD
z(4jZQr;wX`rHzfa-{{@uvo^|2+VB#qYN3RWBLUq`eQ4w)ni1pm+>D|PjuKAG3d`S-
zw|hlgvp9aCD?>Lfl;>!Hy*}o=IM;{N=agjnHBF!glnn|F32MO<xmxQ_TPFgg(&>X0
z<LHTYyg~nM3W(bX?Hw9xL>xYsMW&C9q2h({C-j&oa6;^t9n175WLa~V88aM1zf&a#
z%%e3SL?~zLW#S8DV_M`PW78;V#^vNT#i$8%zxVV@i+i9du@BtWZ;qk{`m?yLI5G&u
ztEKLZDn`RrerM=j97WSpD<7ZbC&RbSTl{|2A5n%u^{C*xqv(LJ>9BYf3FvA&-=FrZ
zL8F}(!{2p}qK$X|6fF@*K<wJQQyt!bdR{1br(-^bDqL#ZhlLWsxlOEL)V>8Z3y<i0
z@oNl?ch=B*_)G)D1mw#~LOak&Qh$|t$v8TLem-K_rw%gqk?Z3%U8pu|S&!NC33M&#
zO;-V@I;0;re(lBh6`k4m_LjcmCwdPH(M>fcz@8TA+T)ge=&VZ$eqM1B^;5D^U%jOU
zWdWz^!k_e`5%lyNxZ)|4r2O*vvsOIZ?G9+*<Qzh;^!?#+KKTa?IN!pXAc}``51A)~
zQ@^7#d!{2lJ4~Z*N8H`+`{JN$%gp{z-UwP&IP}>*dKPUr^FE(dr3#MaV%J;v$Ix-~
zO3JR0p%U`8M>9oKfyd}aQ$gl9%5s*IKd@r~rCK-CMqE|_LrQ#@=z*W8@G<ZFY^x>I
zku;ZKG@uMxS-9zR;YrlLD4p)}$}(DB(si$ustip@zX-p%exr`~vE0v1tEkd*nF-<>
zC9pP`Vi%(PMQN`Ol6Kl?=!f9Tv1jC!VCc~+^VB;tD1x2+WyijORxHX=?mSWi(ekGE
zFS+N@?zs$6gUBtE(r5CsP)HG83fmW+4_-hY?r?n@-Q{f0Upi$!Qx%{<1ABF!VF_(0
zcKc$Vxd)5>(zFvGr2yG={wH_dFQXdUQ~sr<449wsq`>VWc^G8zbX|C`iZ*-xc_%5(
zgcUa0UyL@82f9J8WT65YN_cnmlc)>}_FtwAR^KfLqf3Ks@xRy66>*P$`Oa)uXq#_R
z|3x`a>%qcye78^$@v_4@?Ht(4z#|kdF*(RQ_8_N4kPbUv%p;24<i=8h@GmKivJiKB
z>>1yqJy_J{T=%zXUhKk)8~8&JvT&M7z?@-MUr&=s(T)#4X2^V(_cv7*w7%M5&n20#
z@_oN$*z^T4w|P6dcs^P1^wIz4tH^@I_GAzK&=bZaJf8}v4#~h+b*TP74>nB6g|_hU
ztSI*Vns0hgnG7VERIhvYabWi)mSSDMieo?P3jHpY%D_*GAd&ALH<tAD+vCF_QrK1f
z&iXe$WWZ9<1Z%71#paXNT8Knhtghd7HbzDkba*x5&Yj}N1Z=EFZ`a6SPU!jEmGiRT
zfQHOjlLfJywCLRQD+<_Ymp8R<M`YpPfBNC}D#F;siyt)9Y?ZJ=f{w$!FgZy7t6Z#X
zDT=j4&hq1}Rj>h%A}>`dd59DZd(V+Aj*X;|*AM#PuqV{CSzc!axIR*8_DWF-+xxky
zCgFt|##tZxJ-<*9t|Av-G!4mM+2?p%8W}Y(Tc#W4SIm{6UVWJ2<t2yhk+l@Kq)Woq
zrM65yfGUK@f9sc-m&bhGpG3<1$r$TsQvKs>JoNf~(At}<h|PGvS38uaiIu1xk4*Jb
zhu|->UOlGD*!ghIM9xMErb#nP<8mcILThaVl}Q!*9{>RV{|uLRJk@O&hwZ)h-s9Nk
z*!%ZAq(UlMBub?u4V8+>7Da<1WJODQQ%F&rUr5nHMrEs{RAg`O`S<?g`8@aY-1qnT
zT-3O+gI>+1q<ZX|<8gMzP`-KdP|a%{@^|Qv+}ctzvPWgwdz-H*_WT)lbWPABbuxl>
zIBzs3FZ<Wz2R$)|tKwMA8JYpfy5rlmnY-pB2W6dMnUfV#I`;h%eQHRq91r6dy=hLa
zo4I-^Yr+QSmcE=}<)@NK<KMSEw=gGz>iN9dAJ`)z@71p03@X`MS~+aD*^GS3B{LxW
z5U4IaUUYn(N-AhC@Kvyyk_U>@JR_&+NX>h0?M$VSNt5(4YX@WUo7~&0^>U8jPcYA#
zXVwd+q6fPuR5Gil_VrJp71*-H)KHFj&L_3grHR+{NGa);3%rdhu;xfr3C{&8Y228>
z{U=Y0Y`0%qU$D{%+p}+f7Va}5&zv{VkI7UeE$9LI0&&dx^xTo!RfgoRqZzq-;$%r@
z_3u(P2~JSB7TTY&Tc0#-xX}9Lq6pc*CKms6qZ5|*gcYt>txJaau3%*|VI^OBC8>MO
zu7GvXrWIzK6mrzmz@bE=i?Ok6y?D{-6|l>97gE2cNe;G-uIBa{A?yoF>udiy!h%<6
z7uR}qQdRZzt-IqaD3IaK%Jy)CdIJylfq50OA^qu1Iu{SpPi|`3_P_xJ(yl^2#}r9<
zj=l9C)(c|u<9FK*ia0><YvY{`iY%Gu_0QGlya<Hk6az0FrQ>?>z>j!kNirbGjX&X&
zD54jW0#v#IT&wD#Zx<y~Sp1ypZi`{}?I@vuwLq(n@Q#>ve$w#=@BOU`;;`5{VA67d
zz(7{*yPIb?$!GUJcloaoN7AnRINLOP49;;>th%<$@cQ5qNxF%n<n^YNJ~!=<T>kRO
zpwlE{SafH)4^15Fq?H@BU)$n|`4%pp@gIx>=azHoIK=TV@_p~VX&aPZbhp1E_KuOF
z-7=rvB8K><nUjBwZE(c)x0>SP_r!8Uou5dd7+PZaldgnXBgm1bI86LIvD4bHGb~&T
zmj0Lew>DaVR6RyhN*N_?G#B1Z+a-p;^_|$EVTGX7^bIxBlf;vyl-xdVG5Dl){~1oO
zM7jLX6Q|xe!uofL@bq3WT$jE7aqmA16#p8o6!2UoP80?7R3wSvKuPvD-(42SKbiU_
zwTcz5Ooxvjs}aL5Cv(2AE_0+Coj$Kr#E!XBEL$kz;t1ZXpc1jo9640IgH4Ay;jq3k
zKPFrp9}Z_ZtoUk%>2oSMniOvQ+0in=wJeUq+;izK4x8ao4LLH`#Dg`D&tFr>mcZN%
z`)l(YW~fyWUCapPg9as}RnA=!XKkKy2;`e0*-%TNT37(rYY%-{uPTKDPJ2X@9ZaF$
zH@D|TsUS|X_nY$xNTWUP<kq9ZCP->x5!dn(M&(da>IG35_(+`K+j`9eW`{PeY)KG7
z*B=pQ4P#j}q~vX~*kpqBGg<p3_KBiFIJbf2pd6Zab=t&AnV`MnXfJh>7$S-`Jav94
zkFVQr?rrQdhPRZlRV#BozFZJ~$8M<zZQYyV_sfluy2Cdm%3T8S8#Ra7>y^;FeWCeh
zsxd4tUg1dIEs5fReFFz9R3O@agvTY^7;Rg&B`Thg!o<s4>isgRkl(Q4XGO3vj^8@%
zu3aS!2aAEFYA!Vd{XBAA=a@0hm)z3Yz9fTpgJ!qIS=6DE{pdhNoH6{j-c~i;C<l+i
zA4l`qHL&IMAK9=XW2iJQ^u4H-$NPk;L&d_HXvp7~Uf61k9+6Uw7p963>7uhws%n9&
z|IpkHX1~uLxh#e}S3+s!_RL}nZ9GmYjQkvEf?QUQsdsuRko#{<i?bUA`K3!kiXTm2
zTBNmsvaABuh8OPXzB(|XQ^q9Mn<9z!9LpW5*c`3bb77Az{{6anb>Dy~?jCp|UR17z
zBm1_i9Nn&m2;O%`_nbAu`h@J)^Qr34Q~F!~%0VBA;wyUkSD8arB<5u3VGUf}VKx%U
zYXHBHnqXNu3v|3C*C@JZBK(ufYW)%e814RLd3o6a+cu13hbm|xNbjz}Ds@8$f4KOY
zd&&}XJ*rKNuUhC|5&I^6uOZ5~XZ=^sS;772hrsr1Z7@{kjSG($q8Ti|EO>0t`9!hz
zBq-<#+_lb%Fod#`UE`pfEmkC~<n?<;fq#Vf@sS1t_`LW2kf(2lfwKH}C+&66{PXnv
zYoZ3&VMcGJSlDBI*%>a;i#iBzm>7N_t&ea$qd|UC0;z}VGh`V$X!pxf^6%3{zh5tR
zs1VRLFrT=oK?lN(``oS{(LvsYEun13f#09oE8_3z;1Aoz_Gca1cq1acN9#RcWaXtE
zzh4KAZ9hGK%W1({Ej@Qxf)4k-`#U#q=wKzic|K*e27buV&TMt2!??-q5Puj2xAhg~
z{SK(%%DQf6GLR05FQ4DO`k)P`NT&}~S5zP-Ta_FfO2-9<qy5KuwGmLZOZsxAA`TwV
z@$xuMhv2{8mPLA6xG&b5p=T+F$Z?16#+`JmHur+9jV6=>YqmH_N#knN=Z^)TV?^T)
z|9U$OkjHdxXWC1^T>M#ln<yRR&7;%Z=IUr)bEoNfr6??ROc$Q`1aN=fTzOqz4T~pN
znUC`b!(m(D;`wyoY=Zr-2{l!ejYUU4Ud@lctfF^Vn0c<-F#i3nq6&6y9%LP$Fmpx9
z=T8(1@MiDI1T`qZL+!WD$2?Ayh@6U&+D_nwz))SKmjZ%17%_1L?9eZe(jgz)Bh2fq
zmw&Px{GWy><*KlO{qdVIK@n#DTiAO9cFJI^B_z&Am=!}pEE>1=*r9@GQx$QRhRGg_
z38x(_C{pTi`1H&c9<qNfy>6Gpkn-J`TrL)LEK6)Hkg`Q;)77_b@e(lj?&Ns!&oZ&G
zp21!hY=gVklaAMH6vvLQoE`hLSP&|5c}vp=YfQec@@-ln2DWH#-E+w-xJKkSQfb!k
zw7Sq(w^0<HM=~4IR9WGB;+Y05-3ndCy6^79ieTMTs4{w4@ig=BZT@9Tbcgb`JkA$}
zQG#f6GRcNj4|7$1?YG48K<+R5qs+nMzonP`f}NSOlhJ>=EHEzJ)x0@e5ZM;$T^YR`
zaDAibLi4bISIdj!<4*+eFFkfPONI+>S++^<-<Ttgf893&iU1@_=ZaGHbE6Y`R`fWV
z<L8Olc=LLGR8ZDN34h|jqtPwfPrWsR605s;)Fpnr)47=8>&u5d%PgjK8_e)Kt^Tf6
zB0tXWTy>GY%#ZRZ!|BdmQwSX^$!x#P51E!H+!NJ;FbH*H|9#jL_ddAp6d&Wq=@H*v
ziF9Fb%QPxza+{)dMa{>lodWoMu$b@7D-ldSwq}smO^_yLNVLoeKs~&@ZF8F_zDzzo
z&9=e>9L@Zicp`|`?+4<(PKaSmVoki&urWlcK3r4H6+({pYN;x12_#Jmo7G%3M)>yn
z#H>5QxNOflW_U;vheL;caJw0!rI6Q|>!1i&n5mliRtf_(`dtY;#^7%`yN^d+6tD7p
zbyw46aHRrP@88g{I?kHKvP%?}IfHX2-pj%_wNfu8g9h;oXMcf*V(2g^-sKP?k5iO#
z4&NXe3Z*m!`EtZj{>A4&in$^rsr3%#t~4wXd0VS<Bw%#-((t61G7=vu`_7rt5Z1D#
z?^d}auA~0L)_4_UH$PK*q)S8M$BJ6#0VxD0dui94SA|)K%KB6TX1(Ux9~NyH)F&9<
zwz{E)H*yZjt@bor`ZQn09xIFL7Qegwuhg-%k<+YmI}K+}`2V+NN)E<j0_(R<Y9O%T
zbf97?4KDs1r{bfS`;{R^yTi<h9gKlW<qqaO7tZ+nRZ+sWkDTd>0ZhK+(@yNC8e_Sq
zyUU?n8KW<M<(S^0pxC8FJ2KB0Z*PbGb^D-#`Ll2Si~Od8=X`yGPc%&soa-)iyIK|c
zMeh49%IQJ#gWVG9Oi&;yd@=ApHB7$#7x0(Kk+5IYYkN<b;@^{94eM{H<I3=~n8IcQ
zh<G$D_pC9)LH%%tb2&_2cC+p-bv1<CE3LL3b8~c`XfA!6risyqf{)J086mwi;=>I~
z3+z6+)nhPL3kSJ_PU=4~LQF)W-RwF`STxCwW$x2Py7NgRabYS%(>@J`g<3(-Y0t<H
zf`XL_pJ+ZRRM>^I8>E+7!z8w2Je^esHoi>~bpli<@v$F@9kIc%p+<}Q9VRahriZx{
z8eyM*8Eb%%9jsEg-3Dp82zTsYJ=<xBA65GI(*x|Ww5v2AC0!RawzD7gYnj{`Y1SJ}
zC2&Ec^tr`HU6|!+*1q=DM@Tun(QpIsp?>Yz_HVlQBmU91@R2S|meaCJ-T@ZZtDG|%
zbTNIBy1cQSf(d@(r&VTjWV?wu%0%meg;k+R?5!5=g&&&!kw}Np#yZ(O0=if|B<)gm
zO9KfN?OvrX>DZcXU&47%2irDnUrY{F1MRm(amp|q+Rk>eFYizgr}wI4le-E+Q_nk(
z%+Yc4`m9?_oi^4*1a!EDDd2_l0TqQwIy`-c)%$9-!0(xC5PC@lm6pEI99?vzjV}35
z+|$IpMAHW<a}vnTA#U<Nq@&)`b!sY618k8OY1>Iru({TRHZl3dqP%@>W~(}?-!&#&
zXcL6G_Yu|wW?wTYjs3TE)R5U&?k7LR1J=DOFUtM|?wId+t2w8F2#@I0mTnFRnN6jI
zT>*;1PaJ<)pp5q|#^V|>tYA%VYu2;_`sH2jQFkd~tvTDD54RVI4%=jrf?5LMiU-9K
z?B$_$%Rpb~%q(%f&phBcF99WY<6WC9WpRtAcd8|9iYSm+t<ka89?RYZ^nnf1=&Rl9
zFSuiZNP4i@H~X?3ykbYnozo;?!)g6so5VOF{q9Zjnl4*pr2YDRcUm0Uml{lDPmU2s
zCI8#hqGgMFvc<ETqs6ea?ZumsgJVR%YS~ZkjxoLUbddO{ktkNZUmT$HjS)1)m9xe5
z*65(^?#g5nK_1rzo`;Xd3H6j%&k_Y|9N5|8Z7?bbeQues#l8vR9VLQm{<syw;LY_;
zQ2=Mkd_-TZpCYz$(iQKvS>pM}Gri<lJ{)<v&9!lEnmGJd@KK$mCDVHp3oe-OqS{qt
zDY$)>==^%{-0FM_?Ct+5RV~4T^@(>%&UDWc-L04JnFv^*JwPF~Q<ocRnR@#N`Im^`
zT0WzgaC1cG2wGMg;lggKtnN%B7G(BZ5~ck!L+49%@zp;$@iXDSj&=K4(JNDOj|eow
z*NK{%&U2jL>-@HV^Ak2m1nbq7{xHQkgL7%zo}B3XP&^eW$AP5YyPMDLGsVUY1!a}4
z%(|3Yfc!;Hh(7f@(K%v*omSOKRDVwF|JN?_Rh}DbO9a@;!b}h{p7m0&kQ4sT9pe8o
zcwm%0dRUjw1l4i|J}WtxT<oKU-#pES%kFwF{c?@rI?S)9oyY~x%_e5mTLo~G?vfU5
zVT^^>UBVj-x#4D5Rx7_n2%NmzZJxH#nEZS?&zR!IRL~0mSU{)0%@Z~vDCjTSur8E_
zE3XfKFYD(4k<p}G=PQbT-Fw%>tI_b)g4N~42roSManVdN#Gp<0bFXZsVm?hmyH=GS
z6YrgjFAa(#`D@?7b!VvH_03=V=_HfaqalyV)=J{NGv*r|srY5NrrT#q5I+h66oZ?k
zu*y2m=@~Z_x7^tihO&iWZSycH{jdyl6P9>y+%kgvifPT<3K7VJA3giUKo0M}yq&$_
zZiJMhvJ$FgqKNA#2z<+@fMK=Dgf+rOD7dQ?5%Ee4?c46pKjTq?ozAr2y#Yg9EGmqu
z92bXB$~Eqd5-N~P9Cg%wZ-|7mn<Cy?N+K}WaWK|Q6>)K|efGB+qG8E*>_&zZG^!Q3
zzwA|m?xJ5{#Ec<kTi0puGJVgG_uG%wVs)VG@8b$PBXnE59gDdk%k(jg#J!6e@UW-7
zf6Bc7piYhZx=r#3+npob?xTe^TcIc@Qjx?}HfE!uh{WWiJ?9&=vE|!Lsb~ZhtI3|e
zcur+(kYC)nXsd%@w$h@YNh&CeHkr@SDp>7*lxugHE>_5zJ=>m0gKv>AK}%M}>Q!cm
z_qFu#<osTt_soBHlvLXyp05TwgZn{SFBrhEfHP+$rwQV3oBL>2GxI97Y2N3XA<phz
z8`Aub>9aL+v>jhG!1-|QS*{=zx%$ZgWs9b$?#r<lp4EiRrG;L(%T(~y5{h~hb10Uc
zGNDLnL;qD=x!W=oR%xB-`iCqa95b45Pm2P_<F<p9t7&L?C2pnu!4jUHVPo4UI*1MZ
za8x>whPdOKg<m>YBfD5XCRtn;>CzXz|L~z9lf`|8z19Y~f9$KA`gLJ{nFt+IrXeSN
zma4PL4r(G*(OGBpP_kC}RL?ys9vGavqVdumtT(;u`FZtmZu_~s66QRe*VI(yl?6`h
zTKF-$Ss$|N*76GMFoeuXO3jHEKuqA(F!96sSjn-w`Ld@zej0`*KH5x2SZhUJxw}4U
z#aE^m^5|k_dLhHFm5wAkk$Am%J^bcc)%h}38<7VD#Y`<6aN5fANXr2|tYWmi=<d~k
zJA)i?ig17zZ=eVJJtj}LC|vV4QNyDK6%O^A4&c{m-`@R92QM`9{O7flk?|{q{mDZI
zY`QYb{p%(LS?3!Yi#6r&+KnNhcEbUe{WFi<J*17*kDNNfqa?AZBh+C_lmjYGl}o6r
zXkkCA-u6dpM4|j6z5dfG2RxN+Jmf<%J!m3w+1`*J18?u{^;)LGa)bQ?K~HrIoqhQ3
zOaliv)^F=RUd;3((ma6ps|t~X$9BC<OGNKtU0vK7I=<i2novnn0d-AOYS6+YQEGkX
z(EcG{Ai_KRjkgknsAc9X-G7Lt)MrIkqkz?CR#L)V$YXr(u>qfv0peEq<oP8jpw7xO
z<)O1Ic(RVIDNk!7#I2t%T5csEbG@aOV^#|4F7BLRGIhjd!McxfiT2Qr8SvZDA_12X
z*F!^;BEn}mxs3M24m*_@z3V!}aLs>nO2+zZhWDLS-Dm#V!p?PPqZyAV<{nF#xri1s
zrZ{8%yr9^^euV3eaDxz9Z!gxh2Hs#8UAMhw6<`Co`OcGk?ff7!^De%%KE?2Ezq}-V
z&l=Y%%go<1IkL0QF1YgBZNkvusDQ_`6|PLH2ut*EfyM2@)0wd6gnHeiL(fVp1f1g)
zRBPhE2^U80t%nW7zFjShE7_LNzc{*?gOeRIoUOxKvRVipO4R7uNel2_`1Pmi1S`&2
z7U~N={Y2<W*mL!4umHuM%gslf1>r3pr8L!hiHGqCP12R-P<k5nUm({KvF(VLXL8Q~
zVf<_8=tm`U=(Kx}-q2hi6m}{2c@cwz@blYV!)MLlnm|b~xi&|<4UONi=fO`R(&S%`
z-MlHjw`>hb+c`_@TtDicYx;*s5U(^UIb@3bIG;;AM`nm@`T8B<{-cD?-n4p!ArmB)
zrk}r7H%;uaAO9_AJ4T$pocrqJZWB0)gg;T<G)>$n7T=bnGC|z<CZT)pn=u-$OQvcn
zPZO%=my&p;rU*l!7ki2Wj1ii<YQwV9G!eylq=%w1L!2I58M=Fv27|E$>k9X2LhSUj
z(ti$fgz2`q>6TM89NO`p?Q;1v(Uoyy<YUYNp%HY&=^q~rnra)b+pU@*f)c5gdEb_Z
zcl3+B&vU3)x-+sI%soql4T-stk65ryz5fkiN`)W!rp9t|mXPLGxEC$T1{wRi9&^`>
z@Yyl`e67el5!39$eKwvQW2buF@_#l&Ww&5L>(&M0x?kQiHYrYUcwkkpf*}rbIiysz
zE)sT%JgZ&nxggY6n{q$E0FG>jBiBYP6OY<%hb(0Bpj`d=g@&j4sMfkuICGx`T>P_X
z!<YF`N<A5NK~^8nrLDI*RkLD8_;(3|Y5^Q$H17+K)I+>N{r<YIY={zbF_RJ%#-Fu*
zFDWCsP@#6cJ*3BhdA-co+;<}2R(rN{-9BCTcuGpdUFJl<u%w`kkr?h$MbCWvtAjm-
z;q8&C+$cRPzw5_+acul#JMbz>2RD~!9%^ko;JAM&i0&bYuKLs2$5nLjnA$ZF@Q@Fg
zr}%lMWTZi{{T3bgfr8qe*ShDP3c!1+?Z0v^S)^9%+#7m<f;aEks>i2<nBLyWP*jpf
z^?l{64?8J%d?3*;`=JOtFMJuk<EIEx<M8?gR|<w2zFm&y6hrI&Z+{X$Dr2AVc*&9*
z1rn}fg51Z&k=D-lsLEOu_Wsh<9zhg%$E*sP=afWaeCS)dA~gt4#P3`zrhwNWWT!}_
z6uNv%IXtyAFnMgI;fjzBO8Et<$g?u2+tRKTNNVCKRsWy!H62V<PYY3F<nV0Gwuj?~
zwejHF=D<!bric9NUtrBuz<9yklJ#afOn!TdUUbvLb=7bA+C55OM0CA9z^jKgm7-Ik
zr}Yu}<(hAEz6y@ra=IS!Lmv!T?$@Sc2B>a7wO0A7D*PyRqT#O$v18eQQCMn(3AY#-
z6;pM%7M{L-bsZI18ajHVy;OV)sXE4UNdvok{3cteG^EnIZ=V-6M!V%Px5-IO%$F&3
z-&&^Ol$X<fvqL5rlpj%i<)e*TtsxUUWybh>S3A*n#uSV1bW(V0nD2U0==L;BK>Ugk
zy<cn&m$+MRN91&2W9XSalWT%wFCImhMO%XG8!<SvT@S4D)YZ*3CP>{-yUcOS8vjz%
zE284{(J<CG7*S|~d&Atm{3mU}x>VtFA;tiUHun#^S(`xRzavXTq&==)Qs@v{V~CXg
zp|i`e#(2y%^SQtlaJ)e-xqULku}ICh(r6kia!!`m=+d$4lh$J;Wh2xlT~PJ5qQW3V
z?NAkyJA)N-adk|;O*5q&iQ8|0&ra;OwpBP_+sdl}k*}HiH&?&ImtPkTkIgD6I60y)
zhLSi;F+_4+h8`_M3od0pRaf41M1Y^rJU0yBrM{!2<((SVJXA@p8+62}j4{hW34N5W
zj2-Gbtc0t<KOgbWIzl6Z9w7Wc7YjM}k1yYphNks^)uZo@$SsWGd7`X?qW4ixRvi!p
zzl8tQp$Cr0Sv|`(6r_zPUN(!ddT!)+uj9?z<%rRili_(qnxMNzY;g!!AS&4w6FFHO
zQDf|pLTgcn2D!iaK*10(lTpwA?}7tPX&<nCzN`uy33x?)Tg+I=Vj3AI>45F0lJmcs
zsbFkE_(A@~K}LEk+X2>eI;^*ZWSdPZAmEH}th>iJW3wFF=cf{Me2(kx3@(wy)AGdQ
zADm|yuAky-4K4!{@(raDX;RpFv1oKTZjrIqPNs^F$ywvO{-5WW``=8z{PCwQ3weCb
zGosU+!20KHQV%#q@w24ZGMJr}R2Q9kH0o@RXrXcCVjV&3t8(Za4Pqsq{Vv=x<ZlQ4
z^A}V3pYY)9xdGj*SXQ!PUxs$qSzEl8Po<xz;J}ZZ#x1hjSxF^t{ostpHjs(!Pc)Tf
z1^t)&{!uYj@{q`P<I2C*aQi%c;$zi3;XD)G`{zFv@}`Za$_ssKxNt<fNKZ}@QL49k
zN(dHm52K!La>NQ2xxbGEHIEWz1|Ig>xyy_<o7Klso?D`Q!<+uP$RWb_mF$114NHtW
zW)d}CqLwIM^3gr-*GI(eHJOCq62p4J^|WrF1x!WEVrw?E5VyLe42Oaj8PXMB*5$u8
zN8e0`2YYV?F`K-pYIJddAzpFj-d=rk^cYUq{8D(#VBg>GvQ)9aF#Fh^Z+XQG$F^n`
zwRtx&-tmsB@5)(VysX*qxQ)#WEK&L8Q{|r-dL_QPQI8fF`_jkz`9e%lc`&W%r&2#-
zzN67qf_;$@Dy-#EGHim{jVx(`!rvKZHBUT@VE)(4r<ciB_LyMFz1L0V*%0G!`UvZY
z%@QN%UuV|s@5a~}F-xhk`ppn$+{w+-U1oT7zX*QE<ms8~nSY%xk1+ZT5(j=!Sjfj$
zqLTlO&|o!O_Ta>Ue~bkd;qa`_ETr_V=tta4p0*CV+Uyk^XM{_RoOQp=N}kA7=i*`V
zbZ5~iE!olu#_o%xgmpR_xgtuDYxEiwd8axbdwWkYe(J{@sw!e9TZ#h&YfY$74sO~~
zB{9P=p=aGV)y6@#%6X(n<{07AS6}5z{j-eEIQ#OTE*H5c{YlIHFNXN1wCjxWt9gc?
zgVL(z8{FhAO9%G^6+@)u<gsTpE;7!IhGkG)c*$9T#wT3|4Ito1rda=5W?ZfCtqqdn
zCr$qj_3+p0WB;XAHi`->dEAUsu1Z#r3=u0(iD&wa`K4veo4#zMoX2Q%fvYenwKpWH
z{h}V+Hd2odJz^)X+jS-`e-<J8<Ft?6=hQ=!0E53<kCSvU9n+4~6C?fHg)a=o>*BeM
z;OjJ!i%g38R*-Z}octi{BNrv6i_ZsN#?nvnkiVnzb50mZlK%q$0RR6Cmxn*qZ5YPw
zz4zYZ9Gv4Ed;e}Ti4>v`Np^%#gd~*~N`;J6B%6p7okzT)5F(O<%9iZx*FSK7uFw5E
z*L7cCg;PB*UY6it;-%k1V@DPg%n?3aJ1&5_mA$ujj^H7X=h88LH#SsCFg9pv7D7Ju
zicz9mczB9_zBrM}fn+YUt+BL=AbDF-fcSSDR7fjSE<|&o=ZzCjM|Z?fzK2g?I0XkE
zb0^-`eBeg2E>-(o+$E7m%>qBwYaB#W6!K1J@S?#Dh0!}}QmBpBONgrr2S$1P-p3pG
zkY-DSQ=XFydMWz|qUrHquF!e?i<baO4zfME@kti_xby9Kfg2vupOzI3stTdgnyK&D
zPROJC{S=;SBX|hso6LSBCW7A1H6~wXP(<N%wX-=XO2D6SoA0NJ7%F(A8@z^aNW3>R
zVl_+|rgYje-kgv?<<5)@MK_gD5jKtAOjQB>$%(FV7b$dK+j36JLj~2J?M*niOn}6}
zrNbd<(kM^=y@rV%5!JsMPCA#R3Mc;B)GUw6Af?wAaSs?sC~9S=R;P^wqxrNBB|36@
zx|<hg#z`n5d15eejtq~!raYidmq($tMu*yJ$cV7d0QbZ|9im9Gr%0O$D2Naokr}9l
zb~qh-Q))DT=1k|jiYpFPcUT2|qE<%|Z#&~7j%mTyYn}s{Re0296cdm6siQCEuPs=m
zb$}_Q{PORAN@(C6U+uRHb<}t;!%LGv4~7-ET?1uQ(Ds3ZsGB#`Q45C_`{x~fxF&!R
zmgEWOQc|9gu7)~tsQw-HdD{?Fc%wc_t`ktiH0C~eR}C=@Q?Jx6VUTA2F<I*_5xLgT
z{eAX~jHKrK(wZg!g2S^Uh9-$faqI7(d>9F7-2E2KgNz|gC-Ls!DiJwdv7kv|CZb{@
zE5lNh38?%NwQqSvM7xqdV<p;^P|cUM0!|)NxLifc;7cSTbA1b?(L;*pH!<>^`Xy7?
zi26i7;7mYPZHJ?y-pC@>dmQ(kwU~lnroW=OnF@l_8a~}bDP&aGs!9533iWiT=gg84
zYS+?g9#0iUO~S1z?O#oyMOfZ^J`|5$2xYxYJ-~~+qDNXJ%1vSU`l*TIor>tjyLSu8
zwya3x{+En)UsLe(<#~UdTLIl9_s|@Oq(=U6FBp5-OyP@-Z#vp1hq$(w4H-=rDP0nO
zov9z2z>#oYiunZ@<Qr@v*09k{`Ir3n=M5zjh`jEUvQ{mHj%q5bHIWCgc(t6Y{!(KI
zRnLBH@=qK!+UHU&?f-*$@yg8j6OF-vj*oi0L<BvH4_H>nTEWgftf8MR12`TW-hxXJ
zL>=7cdZ;Wmu=~^=6-HzL@od+j2L*g+_dtnL``K+QmZH*O8HfQ%dQS4_DmN<X*+{$`
zyo)V&SLeRHXatrPcYIYhInX`sU-4lW70Bs%B;`Le1g?V>u|1J2=%CY&yI!ZM;K<rP
z52LpRfKqS1u=Zj=5=-6=H=L+I%?Q^QJgpBtCTgtluV_#l!O(%oPX*%4LmhJx`XHOW
zF{C)SLrK%|9C#D3i>29>T3fp4!BNxanMG^=D74&#OqAO@SXe_!EyE*S=-?fcIrMso
za{fpM?eY9=EcNI<jj|~nD2cdKDJ1`g(&AHNKJso0(|(cmuuV?~_Ul+V{~G;G@y@H$
ztzX>4k{PYc=k90&PrIr&ugG^w@u};ltc*4>wXXT5SAVoXf~@5Ej<<`#)j-z~RI-7Q
z2Ng;EhqNFetgm%#x{`7>%DY6)WCIi4xm>kVs|lf2#+yP(wOGSPW2Y6G4Q!TjK6hSL
z6Ij{{*17^ZvC}i!buJ6**sV;t6KC&fz?qL-I#~t%n5j$ffB@$Pc2f4Un+vlBlo}Bt
z_MiBH;XLm&2Oi(R!UBxA;^Nhz*C}zIl*v!5viyUx&-V>1%1T-o?WzG=-$`M&hvV2Q
zg&&!#$(z`)^ufH{I5qHRK5$T=bqb5b85u}NY++ueT)!0=)F1~o#mv6WV)Q`<_eJk)
zW0_#wqL54mMq}T=PlNNAetvwT$Jh>blKooqA5k*=w$in8IlX|rPx8z7tw{wmfANbE
zB_t3&RyQv?zla^Mv%S<INDWJO5@g>137+j%-r9;<#%d!9+AV}=K#Z0t@qDE!Osm<2
z2=cFDVzfL8i#oKBFIZPdJw*h+edpesc(;cAe9v25dw~wjH@~VX<A~5K;mz{u+B&wG
zwRGX*7(MiwpXn1jLx8jMxu)xWn^-m7ntEk0Biuq2r5tZn;O=GP0JflQOfRS@4#P2n
zb@tbW1N<t$(fIV*a{4ZIT$%dP6E;?O$+;k<8LkXb7d_FRH7d|U^MS{u*&*`ae{JT&
zN>FY4@C=^;4HPhRtyuYULR9U+4S~Z-uyy@=c6}x-^s;XM?pWah+a8k}UY&TjBQnoA
zEKCotHdb7w9C)DUlDm+Q6CN&DB@d?8F@T#JYua!xFUTJ<GqIS(!LoL>l5Q*$xE%bK
zrhc9u;?>f&AQ=a$D>1A(0W84%jMFc{SP*6p+Dc{_<3OpSMOiO_4S1+-6@{w{gBphu
zQI{SEo+{26tQ{QSlmFo1<3pn0C3@M;en=4pVwJl;=5fK*xYg~LOmXlCcXPberU(&Y
zg<s}&xIw0NG+K;R3hYj&TW)+(gt<hAwy6kSm_p^&<{r|3yVNYExugiM-LCeRaqt6o
z;0fLOE*Y4-uA%R#jRU8YPD_?n0mwXg^H{<$Irvb$<6-(32aUo9W^d;S!4NTN>+gm<
zoU8SYCTroLjP~uvpnMT1$Yt5^uTq3Ve?}E#xA5?3ZluHcqZpJ|XfZ0s;Q{M<bv|uf
z3Bq%V#LNUF!Fm41%#^D#oTcXt3)57A^LCvdQ{G9z_`?Lh>!t(<5@&GwSVMr6&O?Sh
zEHV(uuJY`SvMM|jr?!kvPz4G71E&`~WPuQKHT>8W5>%~>&>ZU_0UP~~<8=SY!Om*c
z(J((Us5o|T32~^whh5BLRaF7jZSZ<bdTKy-CfutoLLF2}GQCe{D}uj}N>{<$p0AGF
z%l*u%2_d?^RRs)qIQi}m{Y<1fFbOzuw0_V6>=85n6;CB7n&Asr`>YNhZ};#Sl<9z@
zP}}{?B4s$u>XL1>pblPI^Ovhi^&nJdx;LR)1@vU%hfu3JC=6V@7tmk;H@wqw96AWl
zz`^O=Xs-^>P|MbXP9s?8B(xZ%62V=l@}W<%8YGU3`ZN0ibd4cu4`EgK#%;(R5<`X+
zwm;nMPR0<XBWaf9qzcFW8||)^Bf;`Hwz%g66Tp1M3r|?8g5T$J)-%!s@M9jk**<Cl
zb|%!-2ljkPzkKT7&Qm<xeYibl6J!d3F27zx>k}cZR&Uv1Ssogmk;*8aOd+h)p&)7R
zJxDiWf|zt=U>^g)D}>$*?giF|XfvxoSS<6qFUsP;?@zzqhT9DI(6!{O2TEYK#?kT1
zP5_KVT<tv9O!qq6w~oj)9Mn~vvi9cZf*ziW=ZqRm0SX2F>FFp!kq`^(Ss8lB;<?U-
z_cI0NGTu}LFL{t?(b=`PTf?R}mvt{uo5JzGk%!B#%Yqm^wTJ=TFcukOoUVS$1oTXl
z+}6sa;Ym&LZ)=A>%JUa`e@=0j03``u$=)al8kGad>%aa`)*_Oa_TMswl9byC?q*`p
z9p*4PfnTF|C=N7=GaJK+*j`WNWg)<SGKak0Es7JL)Jvml0DQM@?Pm4!gWV(AmsMU=
z=o%$I*MbQEe}^zEyTk*xWmT;kE2xpoWJN-N2nPKBg}IGba=|f~m-Vb6G-&bTP85+~
z1nu_JKjmJqLa9Q=rq6pCRO@iq$ZWqMoOXW;bmojOl`1;e{fP#}e7nY47-RsauKv98
z+ME{9koJ$f$27<<+&YXqTOVpi48)~fcQMP{ViSf#G|0-M^Cokz9&qxo`COg*hpDad
zY<o>pqh6!3UKU<Gh-Ks_jjAqT3qFb;>0_voQ03^zjbpk{pU@CrCqIkDWgIELz)g)3
z@lj{#3UpvO6-TSe_7nSdzE(-8oC;M{@>XnZXoCSqsVnbzAEwW4aIx5h3e8L?-={yK
z4Rp&PWTkHnnC4oOfvPAK%G@ZedRwgp)%wYbSJ6v~fZoBad!xIQXl~uUUSTa5`PCxQ
zMBh!J^9wIO*RV^eHXw0OCuo9zm-Vn`%r{DAq++~f$1dg61wsnrk_ON<9b+@PJVsI2
zARMb<rb5O^ac671HK1N^?19(#IEBEI>H6K03XwLrGky)L!|s5itJ&5xW%H;n$M-xc
zB>y#}HrPcS<mS`Q+V}sV{MW@*6Cgp260W*s!H^nQuWayJnk`UN6U)^1)lefAWy@#a
zp$2@4>DXt^B}(HsnZ+WI2I>AFM0ie<VQsMJSyJCJrLt;T!pn>n<%{+WJU&MTo@knz
z##yVB-%F1>dkpB%(=%%08%$&vO6(T1@&8AWubCZObD~E%wc(CoIV6bsyN~Ie`37Z8
zaN~Y#8Uu3VH)a>r+2aM-FqLqPEy`GNVA|1bMwE1HsE)Bj74AITXUl7_LwO`k#5dh!
zMoTwtvt;}w0y>i3CrqY7T<LdXt;|`Gp_J8cT_YlRo_5XDaHK}!q3eYoRoIdCjfHE6
z?-PJYkJ|*FLW9)iZDhmEIgyWt4t8=?1;$jj8G1))(M^Tf|4z1XA@Yb8Vn3+@4k7QI
z<qp!L{VZvMW^6pDKeo$U<f}4#QUETQ0R}YxK-R)1kQYs~oxFN}FV`2GxQrL#nb2d`
zed~*V_>lhbx_ef0O7LFXJ)`$93u1OpTbE50K&b|kuV-#4!BIZPT!JMVdj9YRgNdsU
zV$E4`ST|6DvdGMkC_fG)pjKv?Vl9HgL<vt^ck%Gxi-quWS1!clY%QzfErw!_{t7tq
zW$!K*pDKHv&5dkuGZQMs63BLOT>nZl9vZkb-ILdO(D&PNj+c|9&}#Djf{k`ObX)mP
zN`>+v&V8A3e#6p8|8nQJ{t_PIF7A3TG7F%M1pzgGb6I5OlagesuLRShw#2s-K}7oU
zxkjQ%4(Z8%Ep04Rg1b!)ZRgU2(V5&E{@#uXsJQLO;uBM4xDuG`y_F)0;)7ev$lHpj
z|Ab$9EQbn|erxlHD-lN~sW0lVYCJOJtz|UjBEXb_eMiWYB(mw05gCe5Mxg>1xrJ<r
zVAHA>Eg>t76td6Nrx+0sZ9X%%c(*EiD5N<-cR~iGC^x!~(x@Ub=RzD^Cuxso<1c6x
z%A!}Fe@!L2lF(9WZN2><8S3n1pQUcfp`leJb~+_8a`_&(A;_r?|8?1nPTMJ<M^*pi
ziDP8cRm?kHe_8|77KS253Kh}N@J`8*Xf<@((>#QAQ4_@G$FoP*aj1mq0Yz$F4Gm&k
zf2uRJAvE-<KT%%^d9AI!=O?S9R>5ocW<7PmYTICu+DjSPSGgA-)m2AVR2|mkP4uD5
zeVge=pbBcMRNK8vrH&>QI*fUg4M9#V)|$?mfWGv5%KW{ghWrbRdzZK{n6V$0r&}eU
z?d^}wO!Z{6={9Gk911{p`&L7^ClRI7j?vt%B%!J;72|tW#<2L@hOOi_5iPKT5BFyx
z`W!Bz#>Qd-%}#vxoP&wz_3TSt{ID|WYJF2oTVw*#mNykRScs^9;fVHDE)ET-JAE#Y
zH-#&=lDkg15>QA@W5trbJo268tv(!O3U{{Fg*F0IQ0mhX9kniLR9-u*QCeUMm94(R
z%%F_Q0-q_$tc#)Qzc+PK_qg(XpG)n)C>}{kU08Lj5kO)Gn{iL?o5J9Jk)U-K9D1kt
zLMnZi3mJSgwXSwE1=<iL$s2VFDA7qV+vz(aDsPX>(dXLZR-#-(9KAdWHOojo4Lg+C
zNx}1!a+AHD7(^{(C5vo-PjMRK<|$>R=STfaOrWN`?zUHoG{RAKd}3<aDJItf<50UX
zbUgUis(~a??r5arT75qjP5rbw&dwMvc{N||i4{X;Y3^G5*Qc=%F+ur^F93cH1a|>%
zVT7ZP%2B9U#0si;2DM!Pf>^C=s-gvu(sIpU#GO@)$&L`y+Jr%(4d7>6co9}R**Gt`
zjt!D%Xbt*}AR~C^&%6aUYS7%BKcBaOMIOy*U0X1O?E<FekPUVO&bD_%oj0-Unp6Lh
z_zYpe=ZM*-Ze}Eyw(Xm9b`xV%+xd&b3}9?N_Omh<1LEpa&7_EKV&hw5O3y;{!Ccuc
z)v$sFm7X(c=m_7yu8)lJ)EDbPy6jF@kkc+DNbpHvXwEuzk*`vMc}^Ef?M9=W*VZX7
zJs<6)l>Eb*@&hwuG<9Jsfa!QEd4*!D5auTJVhuav^&m6*vJMQ>?kkY~_m^TJ%l2%m
zeib9?@rUybXhTWa8DZh`(-gak^zq02D_Ex6i~D#rZE$X<=|1t}CxtxZ@t}u!1$+1S
z`hSUcw4gqMq5ZDl5CvbKU!{0#8S7T}vYJ@Y1c?|Ob^W$(irZG><juAvtZeJAKdrka
zxFlZ*zH^|FlJp=U;_2}vtf=^3_S1F^;HsB)q;iR)P)Ag6$Ota&&A*Xx-$(;Gn~uu$
z3BSQ!t<4w+t}S931&>aaR`2yz>vAWJst*`x4aB5&7O{_PCxe@b>R=T_zdhpk8S`sk
zzn`nJgn6m3&%G*9gJzo?%HwYX*f;io!r$>r*!^FzLV-jzc+K~u{~FCO)-HIf#hiK>
z<JDvDXsIH@)wgpqb0MRc3ioR+z30o=(wMb;xd9m#-{a3ueE5ldc2({UJ->p{>lXn}
z8wq+HN`yQG#xaJN2>!{?RV-oUiQJE)B$${dlY5R&V(~}(eJ9e_um!hAA)EuMFswb=
z!BjMjHK$X2BxnC&8_c*mYI;>TBlm;v1nnI5+feUoVbBKlLQ`MmiVhJ5`aT%<hs<MQ
zQ(Vn_vRjxu{q35RPy$@@czrKp=P$PP%;cXx+YVM+|7}L5N(C-H{->1WxQI!ni7H75
zQo&AtH=F5(GJL7Gn8|Kl!nWqzsO&AM;jZChTN+Dcc-0#cT5P?7Y5aKLL3ls|@=b>$
zVzQKg!{<1vUR=cn_m90i!b}Hw>OPd=H9VwFe&QT?{SR~En9F<rgdTKygW!ZS9)5kk
zXq;HMfte<8Yk%=#1og8z4SNv*m9I*^SvGB9+bYLORUMf@RC$w|T?+@nw9~1~?7P_O
ztgkI2=U8F&hMSd8g(8T)K9NV)LIs4`Qf8-5?9g1SeVI*N5iTs2i7(60z<|5P+X@mF
zs2e1_DxxUB>El;&j^@(Bc3;=!v<z;DoAAo};iv$K{<q76jp>2e?R=e_JTG)D{O$X=
zE)UAxC5<)Aj4<Z@q22roADn)BRiUF$9!4t<MvQGS0n^m&c%}*gXxw~WaotxQKApe(
zX+nY(g6zNTPkJc?{`O%WTiWuVFC-YVbe0`NY%=eyPl<rGBZKl~5qT)^GS4AXaY0Hh
zt)2ZLaR?YZ+wg}+9&lDhQLd-B!G?xi+j~Y5XcnW-rOL@ek8^iG(<BdkJH?pL;wBA~
zpW5b~?d5^pIZ>xDnGd8pBoFKSk^x0paq7OOdt8z6kXFk@0B%vI@E^M>2dp;TnHHi7
z;C|A!z{N%g{3xVvZ_O0od?s&Q)!u&ey#AxE^bvtOmg$_-5;(ARVtq7{rU(b!!+lMP
z#h|fVoWq+_3923vRLzTVz>*=5d_+hRhFDW`;`vlS?#h$>Gt^3O%OSs$vtJ4_<E*$l
z6^P(-DEpym-rm2`yn07VQwDg*C!VBBkbt|Tpu_ng0eGLsKF`UMg_E8QY@PCC7;y~!
z!ZfQ2zR%y7E6K=1eK$wXF=;heo^bzFWJ`w8wgy?BLIqGL`<(riQ5`J&eJ+fDQ-fzT
zZP$-$;6T$dZ{kp=IvhMZmyz;N1A-pj%L{sghr&Nm5plj6aGD+^k0ok>1gVATpr$h9
z$q!fGY|{X;QSRvbTpb_=Fc-<DsX!OTx4isI1EyOia*qz^K`YhS{IOmFC>+Y5nJ(7=
zF&U4sXVQisY&ZCPXp{&M`GyCZWHi9KFt>v>00Y5np0<=qRcJ$R&&24dgM;zyqbywj
z{9O6d_F^QkFJ+J!StkSKA|30EK4a+S>gS@?CP9s@Vg$863GNzq<)ptcfl1z~_I`O1
z#2!h#+@nqa;s4&>u!}SW|H=iAf={aOljrZfBt1MV&L}syFqr}4*OWV=TSREm5-;iH
zlZRJf)jf$`X7Il5-MnKz0m?q6zp9#-g8N?V8Ju^_px*OC4?aKzc=|6ks7wk&^oOMf
zx=CihwKDvZs#ysV?0GHEUgd$>>c`A4PMU$x{WC$G^Ek+TtM#L%hY_}CzsqOyn?Xj;
zQpLiS0&L%VdG2QUKTL69w5O=d6qeHGgJ4|_nE3W@v;_2F4xz8)Z8S|mVlw;v{skE@
zd+^HHXY?0E2A=8RD@-71^4i4Up1zoU4v!>OS1Gq%_ej5&Gl2-Y{?vp`aY(pzu3C6M
z6*}2_^YZyLV;FY}_PuQ?0un}gcP0C2(Fpe%j}NOch+Prvy4ENFkvtM1P0kER#ro0Y
z>v#a2ZcmrD7kEMGX@LMgBNK{S>@9w<jR6nM<Xmz%7gU;?9SLS(Mj@$R3?5TqAaS*j
zcHW&8mfG*hhTmpJGZGPn(ws&hboSDcm;(b8i&srGzhFlBUdWOKZwM1dIlj_0Q9}V!
z`b)z!W@H(n{Atd{0CHEq(##&%#1hlER-^5hk^a756Qvk^xXji^c{8<yh2+eqUtVKE
z3Fd;_j5T_o)h#t>kvWaEo!r-Q@;(#l$u-_-UDJix#~RN4so$}D&PBg5Z6-8oSseJ*
zSQnx$y}X@0j<BI<rYFLaj41KvprJ*o4z%*Fj&@ErQ{*)}a#u<ik)+J*pPm_QkP(X&
z#|M3*&={SuD7(psjyAgb%~)x}Xjyk>&GFw9VF6|Xd?F*7{zC7nRG|f;x;=!UgR>M5
zU3F2Ld`1*$i5oT$)q*C@@*D?;1xhK;zDSGTjHu^9R@=x;O)$Mr{U*tDnR4b^=}WYq
z37KTY3I3$kg#GD<-gDBdQIhY?ALQ$0LKi&_pO%Qx08-VQNqgoxW&dffBd4!0BQDAC
z*~o2maIKOHY8Tz2T$B9c_REb0%|AKiH5tEm-={(}Om6K^q;rW%xgM;@=GXWqAND<;
z4fsbNx<G~U63MgQlh{z@c8)T2wi@^nkMVx1q(<=!uH1B!>`3A6kr%CGHMl&c`gvrI
z2K^LBU?~pbMCCFp9>X8W@cFB0qlG#hiY=XdfA}sJy7BmMUr+!UbYPSJ-4%K?G(-1c
z>k2n|XYL$Z%|(WaMXEDnlMHAqI($7cl?Q3ny^>ykLjv2r)BPeRn9z3owPQ^6yvRoI
zesx+P37qX){oDR9qoQy_$_^Dj+NXN|`p%xu!D#rfVLB^vp343HpQivaVm8b7{HO||
z`{g=byR)OCzoKhD{T4(<xj%nrIjchFkjdX@OHRZTwlsA!Q5an_=T#HgB*OP=0S5<*
zxX@i5XUU^BqUek?mCVgDB1{;H2$}r1r+a0!H$YPyX@AJ_{S`rkA)(By&1D{>LbAB<
z)>sl5)U;%HI}+i8^3&=leLnP4j4J4CofLAr9^;g^$7|hjA(Mg+`O)!m=fjb|q|tTZ
zcZ6$RM4+3UDW>HSL?bCP=N?MSqR`{sqIQ`?aC8;R*US?_@}|Mp>4W7^2X;6hcbN#=
zZHzunheZ&oDv3SNDUZ%KX9&25tAb9>v|y327@9swn$p%&M4pnpIzPBba9%O_(fF1)
zI(#)*HopRguFgJv#ddKoFCWX832jKCZ{zn24-%A6tSJ7C4<i}Q7Tjd5W0Xb<j#gcd
zi<HrH&yAN1C1mg}6;|XDmqBqk(zy?%38+EYKd&)J4NC8G_Oa^AqR7>ft-R|*l;KRx
zPIFitT6djQm)zvg0g~Hn#(*la9LTpwwATREwCnH8ugIggGa1o=mq<wBz29ra2u%oT
z3mY#jR6yRR*@Qc`Nock>QzEuj3sNh)KW(=tq85_1M~O2T`G;-im+<L;rPreo{eB#J
z_J)Ua_zoG3nlbMazrN>dDTkzYpYe!k-f8PnCK++Abj+UM(1%+~x?<;EDxsmKU}K>$
zGMdokyQGn200+)Y6NSQ+5!V|*zbrvA%C{a7uEQAt-AMh<$E+%-__NK=F9{@6=x3)t
z{v3mzU9nXZs)D%Wa(pjDsUqffkL`>^fFlpA9j)?JP*3bW5$hWS6t<~%S6kT_!X%c?
z7d}!!yHxj?5A9P%qbG3;wzbCaHzcG)>x2r5%{Bgaycvh+uS{H;#+g9D3-4Ut31yTK
zfK!bZR6z7b?_E#Fm_WV|8}(OhWi(<N8bdrPi?T=6@vo~)z(w#)g@~gPIx?E=b~sxK
zrME;C>$jT#pX)^fA4@zMO>_99yC#Yl1CtI_w3>h&k!OV{fI}k8jzMRb1d-Hm3GsKa
z3H%QL0RR6Kmv=bT{};e<jqJVGHLrEAy~jOP_DoXAS4Jd~L{e$eAd*BXWh5bFXMNsA
zc7;%8Rzle`^Vjd+^PKaX=j`*My_w>Y(kzW`8V7|f-r+zC_s`>wT{40tiet5m-cqQ8
z@^VEP6En)>79vlo8NmehY4qK?1hUs@9k|0wi%hGVZ@Z2gLYt|~JnwCB^q;Qg(~rs&
zX!XzZRkuh((2NK?!pJ3t+L-qL+)ZD{9{r-giHI3OGV@JHauG$kxD*=R*f|W0bD!H+
z02FoDGYMu0AqxDVQG)RpW_!iAi(msF7CC9W%p!oCWl6FFvtO`*Qv{8IdNK(5Ixt^I
z<3)No&MCJaWMV>RrazhgF@Q_C0eEFMZsc+NijrC12eO<ibLb480aPdMUsf{XL@ADc
zo3<L7$r^8kHJdH;VcdE+Pw@mh+SClll5glB_j@xu&A6rqTc#`D8py2Z2LYFA&;N<+
z_FVttOr<VJhPqB17Ggp*x<@H@+FHqPWwe5tw{>7kYS!_MH9Z>F>|nWC)Ie6_5{?HW
z9k@sG=nw3mMU9sxj}U3g$;A`@*&4)Z!{Q$$?SUuMh|m0h>dh}PWRHO5zfXT?!5M~E
zUmCKgP>7+n1?}#8Y}%p%Nor`p0@cK`g>?!vcPK9-^=>03l;<>(7q1CVE@8)AsrRwr
z>pxP{%{wvE-zS$TmNh_7vxRCiY6r76eJflR(ubYfCGRgeYrx~%Gxrqzx3K8#$7&1J
zL)d^V%~dC)4h(qeUlO^S7(VK2qfqo1mYf^XML|*rz3O?UeBBLfi9#~=3^s{{t+@Jr
zeW?c4t6yvVc-FBF=p9$u`GqxUhCj*UR)Y=G7Y&%&8g@E9b$Q45H%8OA>3J?r6;9rL
zB0BVN6|?A^Z~B}vkKwD!9B7$UVMjNjv_xtZ+lpHno~ByD#*}lUj>f70?+cald-E%p
z-1;Mn#E;9E`})>LXHFHM35#Bko>{>NdIkH_$*UOWo1=uqXUfpx{?f{teH9}<k33#;
zeH{}fSv&B{C<BG>!B#czRV=aQZZ_Q5#J;}M4{t430=v8S@(xb?^DD8UxSYC$-F)4z
zw{58e-wuhqy?%cUi>1F^o;I?B4P5H%JldcLl>;_n!N=CIa=pB7L8kjyX5q)7x(yNp
zf0_MH=g<b0<F#XV_74S0|L#Akr%HmHli|NEg=}ITLh`gH?5I#zE^&M!ga|eiY2z;S
ze=&ApirI|MIOOxV{Nxa(0NUn3rPp+~v7CGx=BEKP=vkPO|1ow2sF8e>!85UgeK<02
z_*sz-c^b?LXZXoOEJI-M$ErQ7=Z9MiH$OdUpi9nR?T`b<z?s#fUKB{l&r&9m$cSVP
zGIp|Q$U%RlT*${LN_0h^qBuN=8Bv=&b5ngQ3oBBN+d9ouC^<`f`S}bh;&idum6VnR
zovw-_95U3XaL~6tz=j>29JAJ|d?y3$6MJ(%b7_z$-nT>jBL@mJth%uVGVuPoOYWn?
zbZBzwvfij07piQF!LyDLK-FQ8MpK3!E%482lZAOuXMf+jh&TeQ>8D>-A}}I~$XOm$
z93R4dO~0YBB|y=qv{4>sW<*OFyph5wfVQRWf~!Obu-T}cTvEY`SOvQm4IG3}1Bo_S
zfSLf;XkBcs%Ce&?#iot#Yei5G2R{WXB>|Lmc>^y#=0JkB=XW>@@Mt73wUU~j00NSk
z#TKGm$ZYA+$SXc^6yVHzX5EeelIHcRW9{51SU}#z<GBQ4`u3A4Jcj`5aa(n`=e)=w
zQPfsUM+(_X4&&O0GVm<;$E<8TKiZ3$RqtJtMr6EuZ1WEpD5{Ru`!7!rg__$pyVuGf
zy1d<o%T2Pdyf#V0JTHvImL+D5Udo{>8uxu2X64{p^Fz@ea(EOJu6a*CRsoF;o!~Zd
zPyjR8ZvWrs#L!VDj+pgZB$VWEZ&m?Eg31Q#&6myMNbh=agpIBel2nXSzl&1>wV>Bn
zq=F<$B%Ug2QBX$jPkIIfDl5a$>VhbS=TgYyKr`VDiwep&e*4tvfeNV6PiZ-^6Hwm3
zS=yp+DkwrAd!mC^4NgyIafw99AhjbNS3|C<BLBq`W8PoXL4E1>!|Y{Q6shC&wO~~h
z^*hSZvlME=*h8HMO*Zn#Z06=Rjfxt&TtcB0U!)DQH~sH%JWxPhH}l`_$*G~kEBlfb
z9lDSxr|0JMnuso(x-Y5zO%+|C;-HjX(1*(snWqJ!N$CD_w#`?{s>uCbI^v}PV23{A
z>#B<A4i`PCT3ZFh2FD&VqcMc*p9HBm5*5+XvUSYCRV8#ZJwE>aydjiqpFdTYt%xos
z^C^7oBO#$M+%5VFBS=`eQ*g*n5z&krTv2zGM{iypq)a|$3<~y-oTB?l=<4p_zfms;
zi0{Zv-q0>%IN>U&lKz*7>Qe^`+Ug~c7R|4k8UYh<O)VXF>ry~C?{;>xDN$6wD<Xed
z(*!)Ha7})G@+eK#C)*{R4;}UzpInpsCvWLt3Gb9em8W^)G8WlU_jRV#+AU*<;g4@V
z!X|@Wo%XpgH%Et9!BAZNoiS9nU3t2xA&vOMhGTvZwy|__w6&0hF&L-@d?~P(L?g6!
z>t(|xuq(pxJimL4V8=^q_KB}JqUKtlmSgND+l@V-adkF=(CLUKg}Zo^(3Yd=_<DhS
z`ix|va<?JK1}1;7KP!xuIop-qMs1Q$MlD~JvNi-iB`*8l>-?y?>cY40+k0e5FR$J8
zCIAB(DTVYR9`u99dc>}U61-<79!8r0)Fjpi{mJ4)e-`Gx2ioDFEcV=C#TYU$2K4w8
z_OYSKXEC&@deo3rbz>kd*#HVvC;QJwGNE6mdZ`~5QG+<sY+pydK2Y{tyXn|Nhc?bm
z`+0OxgYxgmxRuX(P_2c#SCfcCv6&Wy0sr)88q1ukHg%ytS$0kD&OSDHyzTFtA2m$R
z_tE6Y>%wu3es$A#o7f{}`2a>HYM5H!oh16`fTi8Cu<wIq>})%gT3`ka#6w@Q7UXC{
zss&|*A8{7r+7Un8rHcbCmFX)fYg(XGaMeQK+$hFF!mC^vrUGW1uD!3B7Pxx)+h3;s
zf^~#tYSqV5!M*Nc%9k%Sfr5hA8XCT8F#Rj1$jgZe^z+$$dUiFy#_Mr~ZF@U8&g>fQ
zk1`dovx;7LcTxk?HYel``woy#7X`R2%TmFlR=VkMn>wsB?U3*M7$^U@eaY3sfC^f3
zqXs3k)nUgx+{%(=np|2FwUl#?3J$S!G+5`U!KHc4>B(<@$Wu1u+Ou_3(8cz8gea*7
zd^Uwbo7szGTncuTO%(_8Z|5DeUa3N91h*lfWtpsf$RTH^5eHTG2Wnr4slv+dg$r-H
zSIPci<Ms(*)G#Jr`WE*_1@u#@v)4P<$+<@-#JX&0AhYJH<`*Ru5L|mG@uzK*Jf&!m
z+iy+_V<LY=_iL3wx3{NbqIruvIIBQ~^Q8lGlET<i2W41`d7<9^d565Nu|72N?f}e-
z-Pg*WRsu&H?V9$~9(f=j`kJ8-1AMHg_;%>F5==cmebe|p1-J*KS05~81U0+e6M2$K
z5c=8c?0f+wBvp;d9lp#A3~7s`)&xa(8?sI>{fi3Pq8IOp2C;%y*-sY#X%aXVP7~%;
zs6ji)fv3BJ4Vo+Z?sS=v;6IUPX*N%2z$lWFo_mKKRHA1bbBl;@J%_2>iHi=7C_hgS
zHs=K6p`76^St3{*m=qE(JOCuz`-`87xPUD++rTnk0jBHZLZ<u~V2fSAQpkV@EFD`Y
zZ44FQP-tfVPa7sUo>Lsj{D&8^eG|UeOv*!KI2Z1sGYg!#r`MNW%MU^k&QrLj@?etX
zU$t+-1~yiaiLK>=P;m>)gHOtXLdoFnS_nIMG_r$Hzc73jTJ~Hg%LCb{N3|Q{0G}Rq
zE#Sbz-`)>hW}5PFVU(p?Pm&At*LOz1MhuwkC~iet%EK4@6|<&HZkVF<9PfA`4zKm!
zpLM<}4_dF=xcZEEA?=N4b23g6T0DbYioeRkx#2hYkN5e&wSy+4`l=Mr6&`95cT@n9
z*+<hag94DK7U_ALfdJFW&*Kwz6=46!s~0`rgus~L<|W-XGLSJq*<e3N1mS8rTgw#@
zsP8weowt(%?ZvE|(M1xFlcWT%KEZ>7^hz{wUmk*re;Q4TDM5YP5eMr!F<2-~U~PX#
zgek6+vEn~Ukn%L%!)Q|+nxg#jvmF&db-YYdbWj;SavpVS(2|68|1<&1ASHO6VX)Uf
zuLAK(=3stJ3Q7;@u}c2?|Hw@0*E3|)U^ZK?&ZJoyRHIH^v};m^kdiiz**oeW?0TY#
zmr(|;27f4sH2!B_vSaMcpb6Ou`T<NPvS5EQj8P>?1>V<lw3X#*LDot4<H3G%U@1VK
zNBuzs+zOn`CA@XuV#24P?;-M#6hn*8Pg8;6?D6c2L_N@#@uoj<LILWSE?SgYset`+
zJvODk`rxqG9;v`bgrk(LcWg?O!SIZm{$eE=5<a(m<V+>PLsy>{^h5vVA#JiyrU-x(
zomMA0O@v@5ZMqw)2xlkg=&uAD0{h0@|FoBgkSHEzufL-JW7Fr_rv;3l=?8B7br}(~
zL_bK;@X0~VRRe3u3?p!mvto16B7%^w3+~LWG^BXv)2ALVh6}X#HQXfy$YT;rR&SF4
z-^~g_)4#hjevxft@n65#eisWXe};z&pX#%mKE^-}E3$cLD+fO}3VTZV1mUHUH%q&R
zF}Sb2TAEpr0hx07_83oYFfSmECxbDZCA9D^UnD?Zad~ozCL3%l?O$V|F$N8NhQiTF
zDX?g<^!R8`2j`G=0KU`+Y?r;s&rBqN<vB%8!sZ_NJ4dx^$zdb-<Q%oE|4JN=i5cf)
zjVzIgNmie%ejCEUN5O>FeLOG)-4qvU86vmddmj7wk|AhQwPHWNia^+zbXqm}60G}x
zO3Zm`LtxvhoglRcg0WOnjTPk&jI27HUHJeY{PY2f$Vol`x~}otd^6bTxDbfs1-QI7
z-jqP%0c)$-d)s{rm~_LlF9#2jVfm(U>eyRO2%&IW7ZqK`RH!E>r#uWm8~@iz%7q<v
zMXx=z@>s$2BcDyJMe2h>MfMBjU>4x`_#KD;$1yB(g{#{IdZ4*77Mqa5097{6YXV1C
zu&mr>I;k;T81fb6YZU*N7sWhmBVYw9zq#G;AHOcVO*y~*iIy4)6aF&%EL_GY&ffZR
z!9@p(bFOiX03~?*dGz{L{Sr2+(OAu!sts#=cxTPTUGhkyMZ|8|BG%jOR<}H(1-sUr
zXjtbjdEDLJURiGeW2&X_%h%NciqH8Kf!=H6l8VNGUb;C<`iGG7`XfyUJ2C!qk#3nh
zR$ZR7H9m{&m6d$Eyr2OQhy3Z<<mbtU;<cAQ3`}EX%|j9!_8M?^$ZBGRc7}XBNMl1~
za|(N$Jef!+SBE(|4_njdNix?fWyzC<Ke1wIb<eM2>QLtX!OA*wlss1>9N+z60&Dm$
zgtGae8U$5#T0f2$ARDIG^^rZtG2D8cUk^?VoZdg4aDUQ6{(HW~l-^(ri|=SW-W{$A
z>(mY!w&S14BSX`;7Z#&f@sQy2XKO0(s@rkEdFmtCJXfsr5&aLW`E2D;mJ2H2IM1Bv
z%Ti6YzFl6iGdPT$xA~sJxULKXyXU0Oc;u0Ny$uX-bi<gb{6JIaWo5`df=m}ZBglG^
z)CY)nhA;-w7ZY`AWiXqW8DUmV$A;^yPwN~V!ptJHh@^)~;AhAn>O^0R3EgM(b_yTD
zFsleAOHm~VyJX82E>Vrqxm*%gnjXSZCHGJL^iTu=<I|oJ*7aD1?9%|*v|-HS_-BIj
z0}>qYVsxFeXu_t&^<tbeN3f=pSZh)Z5gxo@zq~2ZhP~rHZlARD11nB1FZ{Nw0D6J7
zh1SELFt>V!Yn_dwn2f<G>OG<YtobWAd}!;$Nc6RG)a7HCK-IhYh_mvLnw`~pGPfJ6
z(ysP<-8qh_Dc7rLm&n0VfKpX|QV({<#)QS6a}uLz2nc4`mxb)m`6-5^J}mB{4oB>b
zpO}Sy_roz;Szuf;p)V--j&TOT<&VO@uy}2%*GU;N(A1uxe0F*Odw=Q(>B#SC%;j+u
zHQz1)CU35%ZJP~aBN7!9g7dT3(c}wZ*2f7@d^+Q)a_<i;AVO0qQf>|tB_F;kRx1sM
zT5>g?SdC$)2iF7Nzh1z)0zUOcNlAkl`<r(~ZR1!;;eX%DRhF=kow~<?@lrsLYtNoK
zGl}i~b@Y<0SjPT4lg9d$QVOn)CP`jUox<{Krej7=tzr&GQrzE#O2T$SSLUkJG*<AT
z|1HjV9W&1uGNxFRfS>~bZ9e9+n6lsGdku$8Y^nYgz9&Ee{>$7-HG1_2^JrV{%zCng
zMQ~(VYcGmJYIt7NHPr=7ZQfRpmwy*~8Yz)%08c=$zj09<E)DBwxKJ-)EV?#_=12B1
zsc;n)Ih;5=Z7RHQCt(>|R?+E6zetI`7v^s=KNbV}E3t#-R;ySyySdno3=Y*^<+sw3
z69Yw6H+~AGbu2r1J*%IN21QT0UZH5h1Fl6~`1Zj~OmaGo0mn~=`1}sg^!ea{#^Ic|
z+~Y0mqZ>_a#YuWJVLJB0lnoE5HCgH1BD>hNsh!2jUyLZ|>(Pn5Yob6IUlzFhXCFJ=
ztB<pL&w{e4y|il<M1YGs!L9QqCGvk{NlqJQLmUr{&P@i1fNA=DMSCqAVm-kn8j{F?
zyqp~a*yu$-`(;$9njj5wDe7Kj4&g$VO-LUuR0sp#uUDsdl<1JIL}6N7BoE5l|D(Ts
zOBiTPJx|YFrbnw<w3`;~e2ByK`U&52!a(CF^NNX@3ANHSyw0!`L`LSBjko{lkEXc4
z6#UGB+GU(fw&+9<@dYKjO`|YuNVRHGFR~%Ul=+1ZxA3U<UUsjvt_b{$nGxT7$${?L
z>E*jgizA)yWoi7&B9QU0t#|hl7xEK}=5(2pKs8pM4e8fJ!C~OVHrEXvbdo9ggnz#j
z$_?n2UC+kD6Mdt*xC%a$^E~s)nOOpoH(X1;93uuLsU4l-VuI*~&9C|v5jo^_@V{F}
z^2I?vAv9I6Rv1l`-+m|<tbpFtk#c7EBq5n?fTGz9k3_~66QagQ2sUEA-25g5%wON(
z9oocDC1phB?LsA_m{2uBw@v_0LAPn}mOz@Pt@u2bmC?(BE6*IR%K^{NSkYl_DU@Mx
zNB1pJ6=`p)Y^mKK!pHS9u`S=Ek^Dew9p4c(#Quu0KK{BAY)F#Qax-O+ePhM7Z|>^I
zy8hTU>81+!>M3;31j`}zTT704IvVJtc2bO2qZ+KPTt9O`M*(GY=YB2d)<9GGc0KKe
znlR?7w%$2QL`78zxv@N&NTETAJ8?l9HtdgGJ`<vdhPmtSpIXyED@o}V1J!!KHQjJH
z(@P1RbZgxc_0T{(pF2fzACaMyrL#6}Rtdf8N?=_%td4%Nw#>%K8G_;dyuv9HWi%AS
zcrU(N6;T+sF}0sJf{ya`fbcWQ=%n?fJ(me(w6vGByZ*=+?9A|XHpi6_(bo1in~oyV
zC3!U9BTT?R*=mo#p^Pp-*}=z}a>&CcOITXo6tYP9W!~{h$gwy6ed)d=vP)6<_ASvA
z)U{c@l~yVu6Xhq-f?1*{XJUKA7&C=OxvBBhe~CzCqH83vmmA$E_u&?KX9_R@?)*#g
zXzly)g5C~#WLfpN{Hm`hET6V;7%Y}W9S0@2Zkn%Rhs1+wt#(X+$<v8T|1bgRT`F?Z
zZT?Qq&$6Ja3pRmGyidCEFG*DQHvC0#_cpoa-Bf^9zcF0dRqSiLB#u021ARKr)4~(U
zPd?|>jiIyPBj+GL9&tsVkeFU!f~bR^KA6TC0aNuawsRSR=t+c~*Y`m-NK%9ong9MJ
zPeORXRR><=H?&p37R3Q4KH~|!HiqE(fg?8Aj1%dKa7uT--~=I-hV75#07(pm^T&8t
zQKRm=(zhmDFg7&8<RJ%O`QVquVZ8&$VY=%3t0XSad_b9pS&^Zn)Ne6*pAz-yewpPg
z;DYy!JFZkt20-2L{!nGfCbl<s;Ld6)7u4MT6@J%WAHHVfw~MjQVdNu>J;oQg;0NBz
zfcdc=L}mT{td`V^&E|SYr2q4qNeZ*nY1M`6cGG{j4>yr_Nikz1Y+P_Qap=uQ23;so
zD$!^&oFv~SiCw!o!3jSd>=|wy(E-vyCkKbpMY84M9TT~FPIye4<?NrY4e4{|+uL8R
zlT)%#z3_WZDBBpnn8~6ILRJOyhc>p!axojv0*g7}Q|%EHdQl6+2!+){z7$a2ZDW6|
zofDq7toS%hYl2u6y--CO72GNlVK~3V2~I41YF+M{u=mNvrlx=z?BkERb{cX)N>%6I
zm!ldWeV`$(=ou|M67?_ENaq4!+I)vN9}PJ9_2WoZzyaW}`o19}#0|Q~etnKwQ~y`@
zlCr-F3{cVVIF+)H8{SZPRouR>4kmj(?%tz}VB5MUN#Vu=&Ve*8&!yEN{B8R^hFE6k
z5PezeD9sB?buYfIwyMG3ZJhEIT~;V~8r3F9&j&8A-rQ)ppaxY^UC}>7+2A(C#^qpI
ze)zQiHp`2k24M<4j4e*=;P9nr*IPsYUWVf%Wye(^T1&|%T$=-?3`tt^_JT00yO?$V
zwJN-FsAM0O<^&(UdGom!LjSm!%Y^m3DmbZzil&Ni!BT?KYY`d|NQ=#R?P#tFIkYy7
z+Tz^s`DR<sfhbW}Xujx1EvpL6yq9JEs{D(`b=P?<4i9n|m)ta$Dk$+ec`Z2bg5$RD
zjc#8t=szr{)61j^B$k0otJnB|Imphd(^?#U%VxbRVONFZqbFojYxrR`Re$5Vjsz&F
zs*XiSs)CQ&!aWT}LCE4vE4ZvI3635ax|#=7LGpp>$wFTtxX$EqZ-^uXXUf%CrY@?&
z)5dbgr@jB~l{@d3bR}tcx{@gHuu>JCEK0~QIEcd4qvEC0ssv!5<~bzKss^;)%e`&>
zcyPZPXG&C;fqU%=;SWRA;EVP}|7RLvP%K7~WT_+z2CIMlPA{p!`O3+fm(=3${-Sr?
zdAuBGo#NmUx~>k{PiVa)d;f8}D678)g*=ShS$$9>t^r*aSZ6r1Bw%-$K$qMq4_*AU
zI(6SQU~_;`Z1sX9bn?fglR_0hC-!T&b($tfQqV2@GLVA(akKZw_7z}Tmff~6Tno%@
z)qF0akcQ&Wg{lW`MDSxBZiw;FhJN|9<AY_=kW9?l$ap}6B=MZS%ELM^eP*ll=?MZz
z#Z|3a-64YXp*BYwdtJD3Sb#-ji2%t#ZJ{A%M3_F-$eU)P2PTc9jp+gZco277p{88{
zyhaR1Bh2;Ta)J8Y=U-%i&Df2pl~Vyi@~Vezbq!#~A--~kQx;ehrW@{v$-`;pCx4IQ
z$&l7}CxTK-7LMsAg_-@8g<YTQ9<gOI9HL(p6VZ_cLHtn9vosk<m!cN@au~pyWD)Pi
zFAK8jD41P>0P+S$<7_hl0w_0F276`T_B+wd;yY3hO7HBnJ^qjT66{~*oRfhgHAJf5
z0STCYnNu{#W(ddLoHF_Tn*cha&-E`#i^KRYv2#g8LvX1z+cUQ$faIx&`tVRZ#7$`Q
z1Zf+>K(mcTVw^Ob5WP(d$QFhMDUTgZbwh}=(7n=+Nr6sN*X^Hi0^nP*dP7>=5Cn?~
z1#bP21g9US53d*U!j}MFavP-~INssi5n7P|3ex$;Do$=Nb1&i??FC@BtFFZFi^Cb|
z`rb&41MVMxxT5h2K<TDq`DZ$DXp}#2=wTTfl!u1Be&PY(AD=$M!Y&5UdmjFemY9KZ
zzbP<J1i*H9i|V)t9%jfIU%TiSfiFCVW+#^n59dz_dU}gModt!~f$ReitXyf;$Vmp7
z^${NNG$FXL+Vxeog%(Uyn0<Ca4d9c(vHw<91R(1zmNn%{1BVCe!(+ecgVFlyW7F>Z
z(4&$3E$A3E)YJDJW7O0K`L18`TC==hB)*j*T#AFBz^&SnCwfrAcY4evo(BS+SyFyJ
ziGw?i8FhCzbRlo@?I(dF+z>?RnQZ2agS^tbFq>n#FhA#F+^EY1YiUUv|J}oZX_oi!
zGfW2tV{JVZ$eeIl_f0s@3JzwgSRc+1bRfk1D|e4O2T<xVQ#^~I25EXvllTN}pl|u}
zYUd?8m?Y^|nc35Tu#;7HKb1CQQK=<VZL`7m+}~!8v}u8MaE)pwL<?edcIFv_*+50y
z+j7H%4rVqKjR<p^kX)CXHAKw@*^0jfCjt+EwqJ=yq^~C2nxl}`c4vh*mKBaqE9jwx
z@=B)uv<9@V^J(Ax#R9Frk*AOdBOFZpBXiMT1BgqD*&kl8fJROif#($y%)WWKeeD1H
z-$OHk<pv9^@@KuTGhhL#^2|=|Tk1gFXU?}5#{%@pUsL+FSRrZ4Iia6h9dO+zW^`Lw
z03H7@P&vy6{@<?+j=WQYMW07MD&<+>e*gdg|Njh^cRbY%6vk!mJ+m*@xYoV){yi?@
zt&~uqrHmFuGAbc5OG1MNB~emopfv8!N{gngj6@_PBP*|e&tK<r&Uw!BeDB2?91!>+
zhOe0qyaHAk!^L9u^__AN<V$IGT1|<gl|1KEIbwwAMu){ZV^M^*h-y1ZOTzok_dbJc
zBOJUzy~Um{iW9O9e;NNt;iS?*Zf$2H)JQzr%&8`Z`Gl=jQm3Wy$+_r})S@BiIzd8T
zD#TFTlO)DAEQ9`&P2*wD43W9|;(>A>aYQAwubkQ<hf6I~kB)dl)QOZdHz-PAKzd%T
zr++!lEar3$xf!DGhw1dbQ3-tZJrxp@q=1Xnhtsy|7$W?>P}Q#{NqFia(H%;7esk(0
zx3D2NO3yyd{UC(}%le2Hyegot6-awC$3Uf`-Is=5X=r|O4v$z+fl+06OvxkzVWzLj
z9`MQH>q<Y<wgpvOpWoa?&NFbVBY*d<6>?xUzHesmsbMbe%~ca|Ly&9qPJGT@js~NY
z7h9Cn@jZYcx6;fI!%yU*^4Jt`VxZ$pr4<#y9ip371{va20;h-kQAG&bjHZZg(?D2C
zMN?v#AyS%{e)>Yn7+@tTL?viK@?PpeXE7tR{R{BAyio;$yABU~-qJ$Kpj!ob%m|(*
zcZ$T(m-_38&!)fC#`9PnVv@%gwx74t-iT0O)_gCqw3i0*Y-v_ufic{ou2ataq2S1Y
z$&lh7I*1Rk++gTwg7KA)AEmXaf$eIfl6s3Sz*=7sLNUb##g)sxJy(b1x&76L3-!>b
z|NZA#b~6;*^UYp$g^J#^EaTiY`siD8+n;ON48Amre(u8>$je_9A5gE4+qzxlHVfvk
zP%m*GcG5(%+3SBCd<JNaRN`cbSt7H}=TAJB7W#KS`<)<YfDxg92yVI+qGg75)9z^D
z_^I6Z{crX0t44L?lAAT+R%$&bY_wslb=cCyQ6E8uqK!78HYl6e&fIoK8!icJwpoPh
zp;SS{N9Kern)t7)U0%?}OiFyT)plLzr9Iw5$s(Y;pMIlOlZMqQW!b?3Iw&yjaB^e<
zi%}7>88jOBA8F5zL}}y0+Y|ApN&tn4-9jClGz5gIHEbs}@xZp+x0TBd9PVFoAC_x_
zX0<uUx0j0K9b<tutL-4$El?6{r;XKzF4x@{Qv;*BbmD5X9ax*`6In%CnDwl4mYGq-
zv!VB1PcPY_Rj)Pj-moU9?CJi!OZVxet+$`Q$PUs@9_pr2ns8dk`Fv)h0)BSKR+Q)3
z;qHZ<2emacuy}P)Ub#gUKj(YR4<y*Z{mb>+gX&Z;vpHw&^Q55EWm)08#SVV%6|IBP
z>JZs_;GKM>I5hU1SUjj@hijLs?uRc^!|^i9?IwDn_?(y7YB30up8ZZq98|^2lex!j
zCj`Ja|6f-1RUlyBcEPMqDq!3{>1S=r3%wERBtZ|L)p0aQAW0cDmCue18gM~3&(f=H
z8DM<dIoS1(BJx+Y?^^wg9ls?mwyyIcz}v>4ILFJQEWFEkRVy3H&6I8(xMd6Jj4K{u
zH|3z0Dt+qOw|_)d*sz%Nyba#!xCGz+C4<`Qd@3Q6^MoAB*67`88$AAWQBT=j8d(8X
zWqV%E5iWJxc7DpWhV^MTxwLjkNS*Ym8e`58=O2aT^8c~IyA=!0{>LRSe&Vh7%2jj3
zm&L&zrIl7FIaF>H>ne_;rrms}-_8+p%nn*=fhA_XT}ZIA6$3Nl(nQF^d7{?8(m0>p
z61q=?_m-^|#gIVXpWHtSMBvs`BHzyf9Cf@?>nDXlEBkuz($Pi2_qN9O`>)NhZR1VB
zvuQ$DzVpgGrvf&3Cy&^U8Ji>JKNE>{+XRsvoAo@pa2b@@E?(Pr%?z9)$%(}~1#tMv
zVf`1??0B!`;%F;vhUY%LDIc%#<KdTc!#>j-_*QE>9+YN^v}CCVN@Dy_I<Se`&z=hk
ze`gs&e5MfS9XFG`%?Iz!)A|<+xe>qi%BWt73F!Sf`blAY7}szR3|8fZZ_>5a??NW{
z{KY-t@Gd^|$nD+o`5_;OU2*Aa&l|%gLc!7HI3GIg{#5Jl5WrNQ#G4aTW6*EQ<le03
z!=ClB1OMp=fwR0gtoo4=*j8$5r84*-=*g4iC@z8w!?AX?bw&s`h$^wD;zuLDT~6&u
zQ5Y@$8yy@mgn3s;#kz0-G_<bG?zk$3iQi|Rdu1BJsAHYtBUeG3&uV49e<hC63*$4j
zR)#pmA(eE|RS2Fn3!U=ZlDKpJe$|Pe44mV>!m~eI7{|p09PK=%z!!M;j8Z-WUpsvY
z`l?0Xs`@yuwn`e5nc4$vJ`C`tE4znY6h+JG51y(HvN$0fr1gr*z|;KTNA<hK!1jKs
z=UKNL<}I@yYfjMdkzcb$#6=vA)AGrk+42xnzTDRLhK@&u?D>BkB~Z=VQj{E|2$_XW
z_wTpq5ECotH(oD^yiuK~m~F}k3RASwy-3H4onLK3k4T|1eOFgXg$kZY|G3t9hK|}X
zQqujgG~^-=-sWml1&2@9dCN<5$gfZ+-5??h;X|G)pNv!R;Bxlo;`?+gXS9TTJSvAZ
za&sD_x;iHI?0;F>Mn{6B)5}&)c_b<{)m+>`h4)?ug(2~!`OtGtQwkJN{x=~;yI2Fy
zzR@PRm*&8;{b2PUZzY&S{t1fwtBF>M#_Y3d2F%O)?Eguq;ApMxpW^?t5xGfJ?uoS_
zWcbpqU*uFp;ojWl)@&L+9!?ZVez#Poy$bAI^2-g{_wP=3>7ZgbX*?*(2&?~%S@kVY
zkbgI$xlu+B1IEGuYaNUs`s=T^8oN5~d@HkBFw+Oma!2+kO%qtmb?;5!p`x6##Yfi6
z09HG)&PG#B@%`89)>Zr(;C$WM9>zt-&3;PCptTt~{JlR(a%<w_1AXd#4>}w!WuMg8
zYmSbbP2UG5HF2w`>n-BxFno}h?pk7jbs05{uAj9K(|U5JS{fadyQhz;%vmn&H!(By
zqBeGjazbk#9oFk4vnE}wq2jrT_lYA7!YjB{i`3}YH-Em8t<VM<BmGh~4KzIPUY+RV
zWq?&{yvNV|wng^`Ik8Dy9e7-b&@q+N$B9+b5gt;2_PP|K8$LQvjbVGfE?O5AO<k9D
z3V;RYeIjf8b@1h@w!p+y8oZ{tV*XRLg8{|P-pxV>yr0MHgwwRJvF?1}rW89|FRLtk
z)=7iGG2wc1R}Coc+AF!N-40^w9Qv`2hNJuUXCGcrgNnU`_qZ4n*B*ULQM#awUot&u
z<Atht&Rn&fm%)U8{)PUjCt9Gys(DkMDB(ax?t5)>COqp>jz&GzM3<hbi>%LbSkFDv
zQPyU{#%X9uE?)yBmZS479?}?Rx6Rnd&4h$;Kyy|o6&aV->X+XT2Z!&!Lq#9$&{p@<
z_^z2czWseL<oiw-v2H)t^JmzB>&RkR-vkByDnAa{>+m5olJ828gB^ZtO*d1&rwZ|R
z^RqX7Inm{`K|W;^ICb>zSaFC7P8S9~ciqnh3X4a*?hMe7Xf@OvrUb3%b25d|v&5I{
z{XKf7z-DjFdVW;}6eontpNyL%4z;<}_Y@OYpkCRVH6#aJuFtw0)xQb1q1+v{1GZ>;
zap=<NW*In*`d0F3jS!ySg_a3Ym+A#K&FcrGP~n<%yY1=_!TeC>Y2jxBTjwm3cgm7j
z;lQ@|py&soym9@8t%cU$;-}5n$B08Oad5Th^Z=3Cw(FM3uocpC7rXv&iQ!_g{I&4)
zKZwFRyRVy>T0vwPZ;D)i2-?QXealV{5|)2=Ji2w<5{^BLpk#g_P-m{Kz7hSCaA`eX
zQr=<##r227Cnxz~dtLAHqxoM%cuH`ozkvl(Q=T+DQ0GITX}Zsah%w^O)#k_LC(Q9<
zG4XeMCJ!E*Lib9Qabm*1wlsIx40nP|3-?=dV_v2Dr_b0Q!tkV3yO5h1G><f799QIm
z^uYiVo!&`etK_SZ@h7J6f0=yR-H;RA)SK@Xe@_!@Rgan3&`iOM+VRmff&+nX`j3w(
z&Jup<Tjsu8GQqTG$P4p9b{tkWi%9mLC+`21k9Z|vg4!qLwQ>pUh|DsP&3g5ZP}(DT
za{81poUPkkyq(#h^)^Xh>N*=TPHu7X6E?>2oK=^f(%BJ1X=u1Ly$t^R-Cm-ZM#zn(
z8u(bVBi2cGp>z`msxl(8mMu4e(LbrGs@?3!i71<;eCC9$SKdDRLPNBlP_?P7V8;XF
zzs`Za-00!>Rz6^Ah=T`H`=h8FNLjI`%36>Y)P0F=JZ~8YZip5<dw<Da4@PIkf8fJE
z#{;G{{tTSoY8Lu!D<{UP+hg~X3m|i=&Iw0O2IT*q&AdqCLi93$?sd<FAXVzeS5rg>
z<Hwapkmg1TpV;lU!y=d+?Kl(VN{2Y#h|o0(56JLk5{(ow@R*)7k6SQ+VpGQMPFG&g
z<`u=)2Z*C1t|O((-vEWh4ewXy^I@Ie)l#+^38?q-yq{>-N2*8T-gB}7$gfiK=&_W-
zdx`CD-*3@JjDFU&>@q=w9OM7S|6UrbPx}fVjOszT?E~kYBf@Ye6L+Q_mqo<N@n2Gz
zdSGs7G14*>Mfln6Jf7amA?e#`RJuYBduV^RY;s)UwdO+}4(<v#aE3!HUPKRfkNUNz
z2Z}?m$?IcRuo9}KeB8Q5bm5nCz=;301XSd09_o3kfci+IC1^kww7d=7+`Lk-QX1B$
zr>mkg<!gxPye@28JsNIBOM|!{Y`MRMf=`F;zbl~Y;Z}?0!laliR34Y_-)XqSQ(AFc
zsmXfKN{Ua+ua-j$_rU4NTq<7Ndiz6`S07G8&yB@1<gukm|BH^iChoEp8`>Y}<9Gr~
zUvr7Gg7xD*s}^YCLQQaK&S?WA9F}obNL0pG+qNl|2@QgpN0f8d(NT~%$gk6+f&|&i
zk*TkBus}IG?ev$9?DbA-&i_$GRY}x`{hRc##<-{;`Z)s^n}W%$3Tn{umD-!%r4O~`
z%m-pi_a;(3C-8o?I@kn@OYAl1NIv%GnQo~ObTt06_dP~k%Kh>9_L`2zk>%?JzZm1m
z>D^g{Wg58WVIx+zfdRo~X_dt~rg%8mc;BRNDgXO@x^Z;LkC8=0?aeWRRWa4Gid!38
zt6yiwaT|jD{sq1dsur-bqR8n=(~us>?^Y^rh^;i2?v>9iA#wMjauvT0E?hG{HL}FL
zY`MS9^#ZIBvpc3Wu~P>fi!SEhmvU03-=JEruq_HFBH2sgbs_OUhVzy%1Ew#cOShH~
zXn#<3m3KxLEjPM%yMm7YYNAa>vX{8P{|KYVR1cDkq1x*r^&zI)Q|9-d9adaYv|3@V
zhX*I>E(S~JVuj=cG1y~=p^fXx$vItINU=N}7oZJ8zc9J6Eli~EtY^9$(_Qk{8&(4;
z8c1^TNZwb;MA3%!oRl{@_+31)yzaajYVf;CY>El<%T5VvyJ+ZHMV)<nQw6)n&-vSl
z+2hH`nT=jG+OYVsJ<<1$JXSAD|1v6M52E;>W=)J1+*4zj76H<D$rl*oFuLS}`b?X{
zikirE;kG(?UJR+p`SbM0Ogt$V$SS!`MSu24T<;BjSbS7D!x_v($*WyQomAD){POhG
z)Ri1i_ODPElx0H1B=A~#HU+{{E!umuW{Dv)$&=1yc6d7a!mveL6+Fe+90&SFiJ5!1
z@7S)gL(mQHg9W<EOaI2K%}KtCAoLybx;mG5v&*hPz*PZ$<CB%t>2jhVg645NaB2N>
zA$xMp%Yk2a_DxFkYnJ!FT$hn)0x}lW*PD4|u<sU6#j?hB))8w*NdY+mHxgYVHWf)?
zPis}O$j=@Y>CjU}v$e%-B|jIbFmcT7jS%oS*T*Us-Sc1AE*pf{G&ZCk5XC-W@7QPc
z-&xI9cu$|pw#HL~0|Vi<LQp=n!nFFscb3}B>DcZ@D^Qw!sayW=A$CHO`@n1;OLu2N
zd4PZwnuHpfpDl7D)~l$38ug8JoN;PWVvQx7(ucJRm;UFVQ~6kOVh<~YG*GWRXMxh8
zlac57+0i}fDx4ehl{J(qQla?W9J-H^-kzCTB!-?ARQ8={V=0e?#V(keFLB}#qnCd3
zMCrad%TL=rvxW|TtCq<$!v>MPXKfv4h#_PCfaO+=EScQp4tiszXj@4(H)Tu_+x4Sg
z_Egre#9|C**xgMbtM28<h6$o)Rq5J;totmrU!heyDovn0c-OtxahwQ_;M8hg7fEd8
zk4uu*Fv03a^*{VBj1hMqU1;TUEF;wSr0^^|XABOGk-(#SMu?o)M`*RJCCox!`~T!K
z#+$tnUcVHFiSjcwn{HfcAf~HK?w21kf}||<e6`&W;c)GM#^R1o#At}YUgm-!zNrhO
z8^8WRoDj4%^XzLODk^07L!t~pu@BikT{5sVht`T`-kk)cQ!h_*k%7hyNvfJX{e-WS
ziha}0ZeqrR8sn0{z{4&1#~9oCiI)d;4?QXDC5U?;*xxScxJJ@ck)_g4Y-ff&IXBuz
zFcj=OPc8AtL|*iY%S-hbJAXEF=K;d?x{lv59Xeuid^v7<_Y<6|4zXqBgTxMYHGj>c
z2FS|$S@z^jKangKHM`qxn8+y6`?=?)J|0tq>T^N{h?aD&>c1l+1V@aB`n?W4483wq
z`?m52@uv4qAMM*1aUit*K#znTo_kwm@@^a?)?5%z+O>0>cy;`S+Q2$p%z9)y+ngIB
zN{UoN#d#-)*T1;i@150w`}W-yp?t%H(1J>U{i{jhVCyR-(<S{g>JJpS-~UDIfsMhI
zyVFDzZL8!yeHvnK8lJGu8YOr-9cU7)86tCpbAxxhHWrgS1+TP>5t@~3m%<k2i1|?}
zKgU-s+;qM`li(UB`cD38S=j%N*!bImamZE+Ulco%%{~4Qbiz2*<rEvd)TL}%3pDY@
z<m60g{R9!|6Z^f3lO1wiKmIw1X`-;blQ_0xig?%btkNux18e;37yiX-;P&qcP8qGg
z#OKluhQ@X-_;9>h;kZDBd-Iq4H43xD`mRF-AJ_08wU5#sag>UW%Z^_=WIs>%iaeSn
z1DAAmN{$rdqT*J2W}ScjKVnzCoOKIJ0EcS!&741@4gt9|HN!kM98df7X1j|p1QkVh
ze$Z8i#nUUNZV0nO!k+p%HBA)Dk1lV$*r<j#TV3D1&F26jAD>Q=5yz^<T|q)e)L>R)
zIj^#f3!`QpH~Q-(FyN=2aL7mvr)Ml34?6LHv+!A;c)k=Y-B0;M%}}svsA9Hv8z078
zC4;kX%AmS>u$1>51;#7ORX&#pz-@u~U9wjWUOpwXh;j;Ice0NDF%(Ae2LJQQYZVaC
z?5CD}p8~TpvfHzch@vKZG+uK;38B7QMeAQs;Ah?R&t_2!oL_DZsSc@NZ^OUf#VHD|
zR-8G-QzU_hMWL5xA}NsJb+aCKQo}pj#CIWKQlPfQ_3qGA$8q5>+vO}ZeAN4x+!82*
zb+wnB!Y8Q+N~`R8yF(qnB(Cc_r^_MjvD=FEy_&e5(j0GZNk#MK_J<q4%EOfHyZeWq
z+Gy<<Up()k0f)l(&fQDA+^~o3Gn=q3Zl#8wFS)+NneBelUU4djkP+Hc!_<dzepbQc
zDs4QxlH{-SOBJEtE*f86^3BAA9|N*0b)a!M)|NX^4KeSHSy#3)z%_kHWBpA%B)5rn
z=+CReMEjjiRHz|XQaxoK&FM(md$`;wM+3>ecNT5JjBtFp;OAAJ8E_M(?Q*x#Lg@I@
zFS8qs@slmZez?d84o1Ub;oaI$YZLU55jMf^$6dU&_e`)-x#joQNF5lE^<zJiP0(Av
z&zQNy1qD5A!Cz)|G4xH+`_p3+9JZI=bHv3G&YYG8hF<#k$X)U3T9ygcUpVr$?u9j|
zi_D!j5)2UTdrmi8&;%wH3e4{g1is&ol~`En*PPfSc2wCIpSE>p9ccxgr@G)!G94bN
zuCi&3hA@fWwN`e<4rYC%L(45XJiRYo7^W~_p0}n~{Vx+on9agF^XRzuEtyB#TOZCl
zeq<`Vv4>Zor19PDbmYj08>Mj5Fme1}llLA6IGVM|t{pId#cP30X3<n^zM7Ep_k#n1
zL!%g;_w<+UNo{1~qzd|OT7*clJEBM7P?x)|9{Aet?!0U&2L_*>){%b>SUuAbsT-h!
z4NTKaQdbOh<MiBj4Gzd?SmTwkPaAP=b#H~ZI8pT{rz0@Z0oo(hJ8rJm#8~?M(}!=3
z5NB0Y66|>#(AsqG*cgopw!R&|R%tb{7&1e<`{V49vFp*M&GQuWFm*Ra&rGt0-1wDy
z$C;RJn9cdHls^}Ct@2!+xQu)_v31&aDHp}sYX5q9Oc7eQTBC;}xyj6$$DHc*b|^UK
zD_)W!hrH%%D#POZ<f=MOm1rY7M01EOMm9*H@3vk|O@<(O#w{)LdI3P+Z|s}uE{?E&
zFWKk@!em&2;OAa>pyZ*ZE5EHU%tenZ|EMHFD%9nhUNIuz<-0a|)Q1;i9*wjWX(D8P
z$A%^a8(VD4F;46f<bY>5qe}dW2-yenZ@0S*)|{Fvo{g9%^m4A&%7=@PsXv)dOe3r@
z@K;!+`0XEJChGBZFD(&r``Ws@R)tn*IiQ>B!T*C$zxS%3__Z+kX~U))Y~7aFmo%X(
zWb&C9D>|!H5GYLk5G(w3S<Mm!qK*lMi}zWz#z#xnFBc|fn}zv_U<<f<5pORjcCgA@
zmY<sH6e35ZcvxC>=6Fc;6jQi3z_Lx$XGT2{BArLZsZUhRVbfbRE52cj^=-xIqTEvb
zU076PNP-zY6kY1Q5IVsc^LjzQ)g?rJ?F&ll9yNulvs7)N*<V(Lnb8&jU14%~pK#Sf
zA5%yLur4IrpJOF2`cG}i7bY+A4zupIm|)6W2p)g_v0C?R+2HITLJEJ?KU(Nvg1F^e
z7dSYVk%94BxK8tllFNcbqhnf(LH`|a{aG|S>3rct4o|WuSuJ6o&hS~%@zV=|b)y{Q
zuKK5DvPxp)rf`no>JcNv4P`#b+{{I)8?Sw}?yVSk&Ah4EIo=2!J2-b4zvd==B@T0}
z$r2|o?|Gg#plAfcK$mNqZFtF19h27&LnTQ2{U5|WJvT(@>g8pDm3-vO2Y2Ue_DPZ@
zNfTHbV2B4vgZE+_1<1CbjOV5CQsl2|YfJA*8sfOUctdEfAjz%Rwzm7BG<oIi{L3A$
z8PJa``T6^dFu5o=V^GL0OTOAVf37Qu0nX&oQx<ellE3IpNL!E`IT{zwdg8*sbgf>4
zs=63ST1I_fPA?}}dGoo~6c{)ikPuX*DNf#I9aBonQy}}?#=^Ev(ouPTUh}lI1R2h*
z6v)`AM6Qq?IrhGlj<cT<WQKet$=BNUCI*@+r23)PALi@n*ge(T$(JWZ+BdGD1kqH<
zS0yQ#+_iL^lv=OFHY!bSb{#SvwWg3ZrWcPe8tJ$+r?d8khb(z%c;D`+Eo!84R{Hnu
z0XkMrwPfYImm@!2317SRq&m5<?8Vd>aRw3(ZTcwbD^Jc8cbS^Lpptnm#|*x&W#E#Y
z*On0hMN&hP)@077N$x#3e>CDM17G>Ocn-c+BGWb<%#?Q1B8ywf2FG~~ak|*=W6>HF
z^0`<`_|;3=<ZbJ&&fz3OM7O;3HnLMC|1Kup&HqLtDQ=$H@0E@4?ijgdvlWF*2zc@K
zg^DhzQo331*#{%+YQ9maWTi$bR@21Kuht`3hEhDfxyF$3R&nUFQ6~@I+2D}4Ri7*s
z(7*99!35GLn(PjNN_v^@nUrxcATJ63{^F8k3Y*DBEnY%{G@7i9lH{S2MdI5QrLLNx
zbMk<al8Gki5XClrXBC|cxY}Dyyf;T;NP5x}MJ-Y_QORfXemcoB9Tc1;Y6*8QpJkzc
zv`E=PpQks1=%nD6{O89uTcL8buU>YkHpw59yI<U%PL3R@K4o%yi7z<g1fti{$g2NV
zsr0uSklG_6EiY$nAf)QMrTR6E{ClJ{vZ7U=G{4g;m}gBOTc~>3RYe{0gtNhwTXA}1
zt;F2(F=OEOIk$Ev2OW~%HLK=Nmk!yz?PNCJGaycW){<haLvnU-=@-pulYG}>Tbc~*
zka7J=fjFlQx!xy8LbXqmj9Fi%>y~AQ!JLYj%u6&f<NhrNj$$f##p1F2flfPktcdk0
z=b@3l8e4WQY*iy$s;IkdgqYA-Bi14CpEl{L#{3s2sY<>KJRbdl%0#H+!F+#zEmGaP
zai4jaB57NnE#$1pMEi!kjVE?!l6}KMpMD;dBd3C=GLt2kaF8C;?OCBg{vgM>PGw7x
z1m9jIp<i~8HJ+9flB1I2pI16iB*n?!qBRNE%Iz?Hi}zN3ml~-QvNxn*T!`E)@Qm9i
z)DELDOx4aS6f*9t1N-lDyySw?G4_*GJA728clqv6CFL%wq@{~-lK%q$0RR6KSa&$q
z?;ExE-b7@-#`}7`_WImrktCIwl1)ho$v34?Mx{_miHfYulrs7}A+xfHvXYTe_8vdK
zf1m5Q&UN3<eXet#^DHmxzcpzE80n1sOCm_17V!ssC+(@w1rOqZmq7qdXX<bLoEJm+
zHNW>tzhB4WPU+Sq3IcdjON;Hi-h*f!CoC86E#v;-k>ghW80epNW!Q)kM*8%zNB=yV
z$H~`PFQ^w7Kx9=|U&3`k#7AM$ks{6F3Ef|}s%G@zYC^dvyx>P_S~dqB8O-1YGvv3H
zBz*{MXu9L_hZi06zM60%c?!qOZ;lLH)Pv7swW1z&JV=LN&Eldog?ryrP}o<g3lbIn
z$vabANYJ)+#HwZrKX`*_;|7y1*aTnoO|j%eYNwU+dX;BzkM9bjW)3<~IZhkB#>|dv
zwX@!wH~EKWoWK1hzCatqulI-!v9Y4tt5IDp3$u9W@mm?bOxn;jkQG{Vgc<#_wr7k9
zo5w@%h)MN$Y5{lB)Zdg&Ms(ry_@U1li};oDJ;7fZH6f3uM5*>Z0~(VJ=|qCd_`unv
zPJOZ_s3#`3xkb^VDskO<&poU7atEuKSgHo3x$I^6nMa3qGRck!2J5&+<Bb$&b`5ag
z@^fsarbF>Fr={z!ZQ?;{-OUTv)geDtFH$&?7Kw>`_n9Bq#zUhkW_#AvfLedgIVu%e
zlt5jOol-!BP8C?s(}$=*%C)v0ZdzJYe#ri-(>67-7C$3#b&Ueu4K8<dHfT^;`7*De
z3oXhvpRX{zMuA`VCktx?Xwi2bdLxx?IwX{B745}Lff43M2{y-Q(VjgadhV_aXp6hy
z{Nf{3h&efaf4qbig+j#%H%2B@#Q*akouVq7dpN27lT3%o^+dm})H5Sbr`Fnc)nsU_
z3;!|HN{8<9#d#32Sdp*!=K!@+WY8<xU|)}?N2*=k|7m5jBR-r*x`>Jl>B;HYVg9@C
z8P(1H_!}qsG7{tNouvYB>SP_~c}66DT(E1IgBw}?-D8?_R0Wt9#skw5m{73r>1?V)
zJm^E4)R}MeDqvn-#Nqax88Hpy*PMFEizHnddt<MV;2iGA)@j6wTrCvZ`S|#ehR2s}
zi47urm@#M0?O;QpM_&m^KNmm;WA6V=h$h0c!~L|*+Z<?e_3f=VOCeP2+e@*KCBm|y
zZM(J>7kasQ-d$Zt1Z728o|)-VhWd>4WKZBm@~f*UWAvgZiYw!X*JEXP6<6dU;lhI!
zqDyk*1oxt$jC|F(0A)Dd`v{&S^CG#6doCx+N+2$>?IxdxGMMb7Ow&#Ap<u4n`{u{?
zp``b@svmamH#gl~54IOT|D+W)-z7;R4Hdm@$+TS@zZW+~hXqk>#N!tp<5K9%G{tRo
zMj0%Z=6sl=g;8w7(&V9oGRXhVlAOL95f<AfvP}=}K{4U38?QdfBL9n`pAOKH;I!7|
zm79uU$Z;XWpvpiVwPdD8mb8<ALHqU%F?n%hxKwM4>Iq2Q@Lqt>85IaWb<U|FO#*q8
zQKIi1Q$(e24{)k6lOb$)eezw|K6LZzUvm6_5(;f{a%uleh8)htaOOTqbgfQzIK-KV
zPE7YD;xANzDYa=pk4_qKP8BX5sVAWwj^zE6=M)Gf`qj`-WRNsJd%RY(3aS=~E{Of4
z2A?$;V~DP@NQHCxcppC*nKMLstkY;fQ)7l{-fcM~dvpHXr6@8gEtV5CaMOe{^)tuA
zU(2J5Nv?OATgb>LsIm3%fEI|hUGw}?PC(*0lxII?$jD1-_$TF@4$RSBb-Y=mfO7fl
zW$*QpQ4^ur`45X8^nIznkr}0khCBl5obQrRm;@c%&D96z_%Fw^RFx3_?CaqfW-{8t
zS3_HEh=KdD=K;Y*N=P;%dm-0S1(7B`HA%YyT*~1aW?oZ5t%KIC@})#nv3!qViN_E|
zzLnaHFe)R?h#$|wFDRiXcR5mVz9HnENm~x-Q$ohWXZ;v{6A*#jJ*-IC2;9wV4*hpt
z2{klJ2V9brLp<wcl3DRaFs(0^JJqa+f~JVxpG>9EL~AkaXqypy{xik2Gpm3aTkb`U
zdhSEr=N4t%7mYxbo@%3Ylz`Yd4XWp~#n4|P$Jeh`jiAbhsbH>H9=#_nFYvDjA|Bs1
zZ@*z9@ac4`8E}?E?_T>3ffO$y|ItpgEir;(mRqZr=4DW6slSG9COf(tTQCyjZv;h^
z!*8#KNFxq8=lV2p285sYbX*cOf=jd7!HTPrD7iV$I6QC%@7Z=@Z2V{l^z7&72SWCt
zJhzaH+us-Qz(<nTLhTJ9?b@vavs4mjPN#Lp{q_W2+E8E4Is<U9RPci0E^nWQee8Zk
z?8f(xxi-&S1sF)~ep44Df>7QBL!s1D+>l|O!oUSkX%KY1bX*XTBz%@R6q~T>^t+P(
z8Dl_@3fHEO;z!Q4^8C)aJs5}ozfl=q0~psV6c)1PMb-ok$tySdv15_ET`mvwL8jiJ
zY{;A&S({ucPC7P(C0gF0-}<Zv$?TDlcE33gH*<ibaNZD>t#>!mcT*R#o&J9M7|)6@
zBBz=j+Ym-WrD@Wor3+CV_ZEG2b!?2VH2c%5AM=g2P|*2L2iUI0G<1*Cql!0d*3?<O
z*s0hW^UF2bP&6`f?N=-<N~*J)xFpks4Gi=pp61pDE#<rEoWaz{_EbT)m}DzfbVB#>
z2X`%qr+-`U-~JuEvb`vLAmuY=m{?(HTBQj|gM3DLqMP{Q_V=<;;#+Kb_FQJ8h$h(k
z{`lJNvWB0(>wLscI{+8|=Uc%MrU4h$yU#vhUcs9hTBrv@%kaZ(CwhlQ)S*W!89T<l
zgxf5gQUBUihtrXb2DuKa!{M-56DGF>{5RDIS$?7ww||kQ9r#fVhVRJM#?s8=?`J!l
zGLLuT)kaxQf0Na~`s9rFmEW`Y`J}E^&UZiXw+Z1du^bAJ(qO=XW)}a=^_moLYX~<L
zO7r%VrU0D`Q@j1^zxZRB%HBVe5uC1*U0VO8D!l8P3?sjr!HeQJtYt?>@i#wtdvaw|
z!8Ju)JzRJO-x*|hdOv*vPqf=$dYnfF$){&ZXj-Om(fbX0@@J>;u{XCLE~t^=s7v=P
zymcD4E)Mc=v-*p(|9p^?{YeEhxro&ByEtr)E>r?pvv|=d3)Ac)Du6Hba;?0Y!Ecs#
zNBe5e<6-k>b~T9vHe*p8x<P+&Q|UQzj$aFS%uT=EtYspwhfT5(BmUvF`RD2dGnep0
z*XDs90udf>2cH-8p2d@n(Z2n0a|Ks7>a?|TQ--s-nQO+xIXq*rkT4&&hV!3n37~(e
z1c`^pH;Vb@@oVQJTCfircw8)%-}ZzeOhp?oyNWL0DYxXEcX+q))|mKIBXvbc9MavY
zHe1AfE?7&BSyQ1ysVptOZz;e-OWE4j50-GM#eQMCQfhSeQAj_{FabVp@%g*4uHYTN
z^^+1bX^~LO#r%38z{Ej=Tgkbr_}5I^36TLhWb@-moL`nakd8k1=@-0?t9eFEm*+8{
zuBX2k4f*Ba3(ZN5%K@8s@wIooaT!cV+rQW?BUTQ4(yA&NUTotIB=N`VUsw>slP~$a
zOma~BPwMYN6cw5+ljHnCU`Jwgow<a&vQU^`r4i6ejaG`ITEr12TKvx@KT}K=B!x*|
za;#{Pi`*;i_ZHm9jJ7KxpiBmA+2$DYCg_mhZA;^Z9v);}x&Kwc2^n}Cd)Du3E(3bW
z=4g8)mJj_N(fab1Lk5D9cLocSnGkpGsRvOW0w^+dh)1bK8rEGESv23VpzZst*z2=G
zsDhTYjU`<gSYcQyhLIgb;pUs1FGbKX&yzBR5z;VtGKGQRJ|~Kp=Q=RTDu#$O`bv{m
zq(N_QvtX(sH_{M|yf2$8jyivzf5a0n4T_gIFMAa7p!ybtr)1cNs9BPE1V2hc6=z+y
zk}V%{i5;ZI8YGd~MQ5LTyLHw`S`{fv3ZT7@j9%sWNuyIqffa30GO!%wQgNPN2nlJ_
z1(H-`(O^oI#3Df!{9n?GXOl&c{Mnp+Q5^E<tJmwvUTQgLw%nhxb4e6U$02S31_g9~
z(p*t`cV3=<wyFjv_9B*A8OkFbC6v4x;KqBF0G`a>UE4lMAQ9>$na9dRlxD7e%7Rl7
z1_Gmv#iS%rSLv4lCOH+v|Gucgn^76sMa`_;A4;JHdRgfu3K<pY^D_pVAOVk1x!Xe_
z8Dy4}9M!I_ia!24xc(mt843%&MI6YKMG<#yc!)?*kZvBsqw6WEkUF>bQn-dZN)%9i
zlr&30-(>6zTu!P1W8;5j@wEhW#Z2r+-hDOH&^Bujc~k>z>S39|OcD8OF01mcsUfW2
z<G{*AEy%Z~g!dLIq398@zjeau==BI&(6_fbka}0jyI@HfnJ8-OxKF5|!(w$h(=7Vn
zSH@a<iG_s3O*)D{oKQmnD}gL#r!g4AU7gK_Nr;1Ihs*9F1s%}6JT%b;kTw4Aft;oa
zV)*Pv(@a!FB_{)aat#>5m5&_xG{;m>*{9wO&14l+zRyF_w8;oAn2!D8G*Lm!a4B#z
zOc_Z#pHw%vV+=~1ACC|jRFF#*cSOfI0!kt86Feee0$PERBK;a9)H$PkN|r2xhJDns
zq{B^s`bW(o9S0GGS}MORU64TRsa+q&Uz<R`_<wsxo+zO!XA5*@J_(~7Yx@h-xh5c3
zaeBgFMga*#9X(T{!GlVp>mqE!cJU{A*n_wTh|ZM`Y0WSoe$oQ@7|{gI+!Khg;gdry
zjV1%v1DA2u9FzFvT4Q)^`74E&Q3h!>RJaqI>+sOGl}t+qjNwI<hH=`GBr@8(a9Tci
z5(`|c<W>G;1f!P}7@4Ld5G9)a)4{PdY*kwA-C>Fm+<PG#|8z(Ug~&AeWi?YnRtINE
z!%IU5<p8?kU7syb__=q`nI3GHYD`-A4M8f9ha?j%fWrG(>D`AJ!Q<AgnD{t=EB}W6
zS*Y`(QaWPHcq}u>-deUk$pGLG+SeH*#f9{VYCZz7ERa91I@rgKL4+$Xb7!$2r7e!E
z1SVFnj@BkEi5LJ|$KIHgXnIr>QSDzzV1>lgQm$!=K9JdhCJM)?P(Z`y#WfaI(8XGK
z4DIzm-L2_CaL5{dVeE&OSuG1NW{R~K-O`1;loOPI%{knCy`_K1n*|K`#;zzL9eBv3
zJ^JPT7+zyjH%-mN0>>uOw$*5Kpm!|A<CH=dzF9J$9h1)tq1xIanU>msvNCcx`!8St
zcXf@PxH7{H?;lc~&$M8%C(U2-Y6n&wQ=+a!WCk_y)Jf8+Ce(gn(0+0H7xwR|tN$f_
zW*B_HVyb7a2`RBf=K_e6Sms(+lDjA~lpAK~Bz)9>-)X08^<U0ngE`Mcews2v^j=En
zfPw~87pl@5|6ahP(_EC<lbAutac{!lQ*{Xblri^UVi_y-THScHTYo91w7NT=I{a$-
zz~W!EhH0?Q=rCroK+WOaGV}XtQ0h28LgT-Q1@oClo$_UcR!^nDP+m1qs`$$DfN2Md
z6uLp*;lKt=!v?JXQYc_#-sG^qi3-MytsdP8WQQ6%jp`gZ3JlVtBL_KXpuE(~sjGqm
zDjct*lz&hKljj{WUB_sl2P?<pgt&mqlJAE85mop@$H21Z1s#|&Q+uvXazS9>eix^|
zWax0RJT0(J57&#e<b}JrA;T0n58fxkj|82hyDp4y_4x(mxjr6v$WfMOqeBM!b*e_m
zUMBFVi|u*3&I|ei`r3_uR3L<FS=+{o1(baqPg-g41CiVRu~51S<dwRO-r!&Z&7xZ6
z1MvdjYGlxXJF5VVm%lkfJ3F-UWao7<2*GZ;&p0ln0{^0i+V;HVgeE5ENu6iH(B`LG
zATUCLzffix($59r^Xz$rwtL`4d(yR22_%qntom|jfg6rTe3&yNi$VLt?zir?B<TJ?
z@QxGXg`PL<hpLI<P<O#7)sjqt5>d+&kDd8I!QN=DElUDIm0k5>Wk?|NpY;9eQhv~*
zX%d`j+y~xzj6TEaB-r4H&5@TDggQg&;|I4S;qdDFC*B?;NVa+IUiw-H{GK|NiW*A8
zpMqHIRv8K2IW&K!J}d&k%MUFV6J_ANX4bhCK^2(Y(Y~{vRTM5`TaWV>WWmw(>uob1
z6)4K+EYuzrgTx!>tc;xH;qjCtTX~xbyuU3~J=P))zTPEP>0bztDAI4@baZzkzIo)_
zFew3!T6-J9^%UVSoBn>0Su&KI`pEHVWgpPmXttTWQUZ-D#{%<mRAKK4SA3RD3expj
zTl=YrP+R-#oYQp*JeWOUQ6nb}zYo-WY&6}?y_udNy_eL$oM|(A(nJQ7P7j}XNKpZz
z!&1ZAZFQK3@i-e7S!j$uew8_21sV-Z{V(FXc{A*JmROJ+C<LBZm}MeEP^s2r8k-gb
z?YLGIg~>zfTIMe*Lo!&grk*xEuMLR-LxwFE381Cxe#iMR8QypH)dc_6fu=)-iC?T0
zK&LLvS)4=$&1ysbho|+xjO_5aom~-Lo};!O`l$l69Bp$E1Nx9Z^i^6vLlG369{3sB
zsX&W)Su4#E40bLktWa?%!4C-=u?zze<b~<_%i8Vcokb6;J!VSqH2kDz^aW-3<rM#P
zVhKRMPiK7PfD&9#4KjIuR1rc<{hm;V8$!r$mzf$qCE(8gDWSM54+?FL3Gs7=(A78J
zo}Qx!4p(LqS^Q*SL*0Zjvfl`tp8nD+WLAXW=>k5XZ&JW>?xIHibt6bu9WDK*r2z9j
zTeGvoeQ?jPq@6C!2rjNl32o^SVAbCs|CiY=Z~6W99e8d8&97voaz*9g<X%J1z7QdJ
zqmZvS5NibHQP;lT9h8M$S|Q_4?0gXM>3-|jNh4V1W!s;4M+VNBC{}<V7pVAf&y7kL
zL56Khas*Ktq)Qx3=k%H3ZsW-9piV;wq|WAl*C+{wLnem?tZ1R)2iD3EW(XOqLPPZ)
z``}cvpuy9(o0w5j+qbu3hQKKpck2R^1T-pUX8UI@VkT`*CrKXwruWOcjGPsN*4#eb
zJGZ8>_<mli+#>+0*O{*Ijf()dre1mX=@(|fIU(8DhQUmzzq4SJ5d1tYtA1CZ2eWng
z`Nfk811+jLLZ^iQNCqv3PhV}q!hQ|th?5QA5%1tip$;Du8n=CYB3X&uE7r3)<e?7*
zY}5DZkMn?|Zn7kCssPipH?i(Y)r04DcONS}<pM&i1tH5g2Ya!R8gKYR7clFAAUP2Z
z*dI%-ZhKjbl{6L&^@-^MpRnG4npUh(*+@FNQeTPTCcKnN4;^Uq6ruXs$^@jfZSDb^
zI&1>d>=`c6hBOA>0B%5$zm9}d2C&U-d}qMWiUCfUP@~s|(B;m#?m{|P=w``$e76hJ
zBJ0K^p3s8Yr*TCeX=uTMr!#Wt!4GW1{r2<j_nPp`D~fRbJ~fzWIFF`m4PhS|g^Ig`
zHDOXu&RErs3Lg5V&0jwH8)IZW2R_#{Kzg{vi#cr@6Epw8zFs?y?Mv1=e)f+#H1<Yk
zyH0OnEgUX^qlc!jnex5*Rd(v&bnfL$;oS|)Tx~R}cls|jCwh2Vzex>RzHXOKU0uhn
z>6s<EADP46pY#{)1T~nLa18Hww}#~y<ak+VFJR&OV-NaNP@t#9;_Rf#8fG(nPR2=P
z2{RjPE}GP)z$v`kGh|{FTeC~qx~jc`@yFom=9Q`t$HwAtvv(Ei(_g73*{@-vW#7Xt
z8>zz9BaPDURJ%Brm1aEdZD9F-x@ZEwkm1m)$mI#AHSD?t$I-a4EiCO@s)f2E8RD}E
zjRO;F*qy$l6CX%akg=|#^KnWAKD^(r81rf!6Ox!LCWKQ%RP2!$zUwOB_vH|^ebNS|
zlS8}gHckV>#V;I;MO0v=@|&q`$tJc&t=Q(}O$QV6_h!n@k>KbLeHt0+ZA|j);)FK?
z1N=-sadW1K2=0CD`&O>+VA+ooMcQf^;dt}wBJT}lnE%elx&H|jT%Nf)Z<NIhc^|E7
z!mN~`DE;b(C-<n~`DusEC&jGrtSLJ1QLYm3rG0epctHa_SKNY^$JycHXX!#6E+tU7
zA4YquoffXV)%|-+jte^Tngv+H72(5OOJ^rZdMHbkYLO1&hHQ&Yo7Qy&c&F)DS)9ZG
zJ9ueQ>mUyZdNpfaxvl_pq{PN=icFC9pl?sN4<E40RF9GQ6(GJa(b{K{89wEd(tqX`
z083)^(xEZ}hzP1xUF=|m0aK?XwJ|{m$?AFS??V99D5G3~Np?7VXV2-feqj(kwQ(#$
znE>fS49=aqzF~WP^L5Sk9w>c7f9)$h0ooD*Pqo={16@Dk&Xa?CA#{_4eq~V}if0V3
z)fe%AX?%DnpPK}v{q;O5ye$v@H@~x9mgfVJs#wm^vVGw1m!i`oO#nL8mER9=ey~6K
zJmj{t6vWS7-6!iufC|wg&95#ALh$A2$*<Ycpw?YF-2H<9iVMfC%pVa3tD*N9Z;WLj
zKp<_HFIWNg-zoEUI=lz^eAkAKFUUdhlB9T=p(0ccTpv+8F9xfwuMCn)2{6EJ+Mj8n
z1b(kH#yCpFVPV~ffAEGP<nr33zKBwWza$5yO16FQAb>*}*(t;06r!>qD+wAmqv3~@
zBz(zKpn9u70=})~l!tyQpmwRVP4Af$9QDkpIvb(_ISPrS<S;TEv^$YeyCMy~<NLi_
zt;le;uBghtOcffK&pgnxlZCtqnQI3)RiT%kfxUT;8uV!Qm8+M@0iX4k_q-*l&}vb&
zo|mHzTgyR;t6T&KsPE%kQlh}yJJ*x`IBP<}W$*l$6AF;b-inU~QDFSw!fKVOHoO*V
zXY9PE2y~7eY<>|Gxa?W8_p-Py(Cj=sGXGKuKGY{OKRQGK?RKx8Kp}l-TaEgf9j6S{
zb^&+jT2z6%C1c*56NAL7x3AC{5TSM2YJHks6<iJ+HD(C~2vvA1Cs;xRrp1ET!NuKv
zTlod*9SvczHuq1(5E1%&TKuKVc72$ge{$nKBZyo{sxbe&d;a9NAW=&R94>y{E6`vB
z<>P0D1y2$|&R&MN(k~A$drg>c?dGEqss8cG*UDfpS!hw|AOq%yT~F>$H-@Fq_}-1T
zN-%UsV&9!_yZo_cN!tEqysL*h4X3XwLOT1+cFuB9xHnuv$nG|VXPQHeFNG8!-|i=;
zo1p-xcB=$SR~SQr$1%B{oARJ}#>qDB1Q*0Gf6h+5ZVaf$ZZN$^7I-Rd*!Wm7K=kuR
zO+%#Jdio44f(2y2N|TcOK5reHinmXzYc_)TIT~wfD=7$+7<%>6VI0e~3oiWVXar{E
zx$ecc_5s(gNXC@WbbPcbvN&Sc5F|hCby$2T4sq2tM$H_5<Kz;DLo05EyYnDWf-q62
zDUEmkb#D$&{3UW(Y!qOM5V3NLM;KabuGe3nTfxVtb8jen0fc!uvi}nhfUV(!cN2Qo
z@x@_6^2r_y2!X51zpQyd?dP|0C+98vThdKyopA%u&AS&ERLup?hf!E+*EU}76{*j%
zqYuy8uK3OLu)!lOef9KfJGg{q1=}HUeYkN$xIH(S33x9yc=X2a;5~D~a{LGMfbnR~
z!^vtoIOQeX1*$vv)iPdn(&gQ~Nx6M@(V80A+%ijO<F@fgENRG~L<io--2W{WvWdN7
zIUeF!wuMhx(pY!QYr`wqrAtj~%b0*#Z_V3pn|SMIM*1KfZP?#n^6HJ?JVshCFi{=Z
zz-MA>OADg4Aj$cUEnn0Wwh$d|J595JTcjC=@bqg!wfVuX_q#{1Z#(SCF<R?*5N*W;
zJxxvE%#Hmv%-)9yb-Mre|NlVUw(Hd$4>jP$<%6x`lg(K3wJQu0G;8=vezm~Z4RweP
zzsPs^Mh+(5=b<0*d==LnR&5mZPzU$P9RbU_5BS!9*N>$8uHuf)dB)ZqYOr!h&gYlb
zH(YJ&*{r6^D$bB9@o3&u4cfdmrx@3|@r=lF-kgY4+@m@@<9j6q%oEt0)0GBrcA=?z
zOI@q@gLUDgeoYEUoTcr^I{ORH75RE|!EOy-pONSL^-dKEP39%`#*gCVQJ-%Fv8>}&
zWZK$hZB^*b$T_?eH-UdT?8SEG?>a7Xva>!Ck>R5+-eh)u3ctoJ$+AJWiGQV--rTU*
z_1!7QB$N*P#Sfb|VUG`Q;cl!RcO-jNV6feE@M8Qd&gQGOBG|f(w*~p8&ibmr#S50_
zZ|=<Df!BDPoJ^?Dp}LFTU8q#x<7JV3M=vkn3WHaj1r4atSj11_m?{bEU-!Jur(VLl
z_e%U3u%$t!@VCkSED=thi`y_yUB(acyjgv8j~1Ob&pANKSKhUM$zorvSMhR!#lMR)
zbjXd3v-0+m66{YG3+R_v$4@X`j#%(#Kpziu-hXMT1d`?{t7M){oYIqOFe$=>1c;?9
z?^AdE_=(HS>4a^({K&iD>vPQLmiU&A)V2ahmD4&4Xi%ZmPP2HO6;@>O{QV1CF9i^m
zw^)w$r$#+7gTz@92lBL~4j$?y!2bXM0RR6Cmv=nWe;miNvN?NmcgCH=xpQX5y{!}?
ziK6nO$c!izQb<xplTb#o6=^7?zMm2eJEN>hvdKy|KmUIo@5lS|_`Khr=j-`$l2|!X
z!-_VZg)ENQ<B-rW-=pKss<1WDv`9{u9SQmo{=Li>LMHx={6G50klbsKVfcvyJqe6V
z?T`^cZj&|wTES#^CyLX%7{!UKFTPx^e=3U1|EP!;3X#G8Jg(r_f82<e+J(0{A&$Pk
ze%|~Fk-%sVD>coR7d3A0w86PbBKgd--}IwM08!J7j$D59{-CqdH-Bk_6I*^|yoUsf
zMoGO%oH%6Z`|;3@Qd#77qYZCoKms&#QJ(1{gp$%U7aOG&kp72?{{Qqz&|VwfocK`~
ziSHxq-1Z%h9Pejd8QrW?-<(1`w@(y>m@J~s9Yi#8*2ZZ%kpwN>dtb3|iKF|9|4m<L
zR74WHe{2&SCqcvyb)(K63A7vkxoFH^8R0hUHg1QIL2veetAD!`DvNQr(Mu#D|8Lxk
z!>X$A;@1S{%UK!J(_^TNn<k@U`^<Re#3<mNN8T^2Cy(+n9n4#sDd@$kwR=06YJe7g
z@&xV1BfLQF;i77F^y-kqYQ+O}`1)D0SM4?dZ9gwGv06q&Q0p^!!ix%l?ZbOz{t(go
zC-r%U>}Y7kZQz)OJ`Kdpj}I5`Q9>6xV?^VO=*Yc<S#-&l4jo~;`BdI2qaRu0>XOo0
zNb^dCU-m~Wkh=MIPl`4P6|*_%H}+|vdt(39e|FM_hy#iETLolvR@FU)9?3vwBMnS!
z1$E)5a2$T8AO(#R9c`s28OVA?YUa(f9uQV8^_=ojLsu{Ohy6#?MysDh!!l+K;0&8o
z`?D-{#JMl9vs+jj2~un8Cb^9u>d4NS@8ufkdS_NadgW%FdoqnD$tF-4wv$?vL`CIn
zo}qHw45Y-Tc=@J0K$r6Tg#ZmrROa^h!ATx1G`nM6yFl6$WZx}I@yBT*V#N2VF^q<a
zBwo9-Z<qpe>0DX!HBIy{;9H@F4;2+To@AG(F@w{xr|c!IHPQK^PWOEi6toal5Xk0k
z4)~~f_U{!`<eQ<FtV$;#S<#p^_f~T#9{4d;Q?G$8ip@XKc2h(r`-1Ohh*`jX|F~x@
zoA+{gJlAxMp@80L)Wwf!SU}LhIOi5^HRSiz$*iA85;4w8IsB8efHU&i!4c`IXz$(*
z(fLzCNN+!1G-=!%tj_y}$90iV%ZIAF0(zWCGh!)v=#DuAZlor>WKluU|BQaAQkSvN
z=%4j{y5>-R?|3y`UJ3a<<grz9`Gw_FF*4lWnL$uJ&r+=c5#^-kdquZ>VSdQezshQ1
z1_`Ub_f{Ulqi>64osaycnDu;V?e54F`1x@)t3)}J_h$at7-^B&Re1NdsG%wRIasq+
z`b-LKAKY#5#AlspzpcOHT_r%!6Wp1*5#s2rINRmjek}0fu+v^+9e{W0hf21Di=b75
z{D|p(R!}JDJnIz1gf=a_UBVL_@|ArbU|PclM)`d24@H`QmbLU)odX|AwaqN{r?bOD
zb%T7l6k}N7!Hbd}b0QaG{h?@Ub{LD4UC697f;g`xubvBRs4#rjKskvWEHyYhQ~C|z
z8zb;kLi7e!%y^c3zmE-iJ*pxT#0+6rnKD7GS;U^|**_GHWCP(X*Kf`^Y=e=-%+zbu
zvsh@Bxb997Hdt>d|BsPs0Mui>hOL{E!+9K2eOkf_^8>doz3tbBu^;Cd*H!wlKJRR?
z!#1oS_wjRqgtk7Uf53s9Q7gtB%Fc0Wg#`p&nrz1s^<Z_u-|9I_4#rYk`6~fqfro`R
zTXv7@!iKH^XOYzhW@L(DmcShrFxow8bHZL1l$<X|mW_U82HNDwMPFlq!%t_9_Po#m
zWAE=8DHr;gM_i&0yt>B%Rno}7nxq4X=>pP{w}+TUm$;SXT3Dbsd1WynLmTV`awdJZ
zk24n}lgFRSvO<>y%ezy;+VFO?;pf|eDdw{*mi6QDtRP;rm@=BofQ+Uq?Oz6Gm~V3v
z+~q{s;Nwp2tM!5mz?lxl#t+OfD<^vPq#-sSn!;Y*6fI!zMi;lV&ohghNWmS+>`<7s
zwJ}Rx3p{O|LOtFtFs;NI^`_2qfWW%9$b|=VXtoG>9`tC5$=gA=s+F=8j<MnMs!izd
z@~UB3ZP5zTwzzVD)WQilr<d#Zb<n_Be!ouFqctWW+e|Y<iyO|!s5|-|r$Jy$>z4ke
z4W?k&Io-Q&cmU`2&_@tQgZ<2Fdrz{nK**D6g~U^QK)qs`JLsbcI?u97g0)zoZ|tj=
z*dYNhrroZ-_KFG#2S53^on(W6gutk@Z8-Swlhr?8k_x+W&IW2XvV-bzYb4|$1Y#jm
z-#$iZfYj_O#v*eosKzpFtM3bgX`Kdl?O%1+&h4-LrkN9Tj2Tst?4sZhl$xF#st!SM
z8slZ>xq;Na>hE+>433aJJ#5(3LH8Vim)nsSdfuQlN3sO;c_q!d<f_5ehj~eaUHnkc
z_L+QjN)o<)bXj$APy=TF43|f+ASh8ETMG3_!@!T9XLUr>pn5UADXSj`NmMmT&8#de
zZ;42uj8R}w^u3LwqA(chAr^Zr1&BGP@u=e)1(sswT-(lxz&({wh-|{cFdI5%_=^HM
zmDAr({u2d}i+=lFNfDtb<ZFB@w;JTO!&Fp)I4oRkC~XZ_gkcrW(2I_0P`hAxeLGVU
z$n_sAi8D&@ZK8JzR-*<Xk&Owp!qVXGR_n1hLIqxmCZ!zwPaP7nDZWWtWnpb9?TLZ}
z8G1gtauld(K*%M_zFX4r5K+f-0ryrFCRSAc(y3G!S7=FKC*h%s(=vDaNj13Oy2q$0
zKohc~e_X#}Pk@hJe`pMf1|%-)r~00v!EIemLx+n*aQ+nY?m#yc_LGb1KfBODqhItc
zPn{yX^Xxt>ZcGE7$BI5z4r{>*3Ji`FPzD{HT}~(0X|Q9ppV5Dv0iC0xVpm*MU|pBn
z`d2X>*6i%5Ux&59bEiK?a~=s&jn?lF^|UtoSfA`ZtP9UvmqbT~$Pjo>y6{w{7F6Ot
zXu59bLCtiqi>nj`8ibxYDYa_>;l{AH|8oN<F^IfU$4~<u?F}{6HZ5?TDeJx)V+c``
z{mVKU>Y$Q|)5YD=0uzOx_Zv>ez(%ypxU#Aa%klx++l4pxDpH1UL5T_Dza#tk(={MZ
zMmF_<9UXj8-f~+Iz$Mm;RU#`Ipn|J0ykkv+7E+gug^?+IIKkSQElUMe%FY*587dgF
z_DLj8n?mr_ZQct@8c@^wG&$5l4gRhM$5zIf!L-#)UG5ti@LO}L=C>LdzEBQOgO<%e
zQ+&N6eMlYlwxwN8n^J--_Bj@ho#vo^+EPG$RSh^O6~`%M1o$uZulwE;=8$e0E?v|`
z0m)vxH3yd*lvRHF%pGnHJGJ)SY`&xl60(IN`-CN6-FwWZcayUhtAC2!#F1fPE!VC$
zTL?y?Ue21Tn?oAA9*@U46_6&~G@)PThA*#c+o9hKH0%cbV|tX}h4lR=Tj(rMU*2|Z
zHr5P$xZbATqAS9X@5A2*EdDYV&y7aoWzE23-^K*#G68gSC3g89>SvyGnki>3HHE+=
zQGV_=1!$QQqjpK>VwZpD7|Q9GLTYw|4Y5KNDm*>fw~v0uR)z1V8N3EKx?GX5$wBzJ
zOJ}HsJcbckAvVYo;9Shr`%1&&p#D#xI&WwiGZ7XOKcB?}`}smf%}!C!bkw=$6*`BN
z)Rhl7J~x4SGv0=}A40&xP$=BD@fUL?vVKbIG=}EeE;-qbf^atf+XdO`d92m-f!F-1
z5nP%76zgrr3pxWId0KnsF%_-@ZbcL$IMsdR=dA~vQ0;bSRQ1w47C019T>PIQbP5?g
zKjO;{9<+|_e}4SM7*&$>@9%7b95JdQ?mP>;KK*<tpXD#+r0>M>;JX1ZM~<rmG_5gt
znzA|$vCd&JwWIGi$OiCk2mCS8U1GNI>E;H`&0y1EanYft^`ShtC3S%`&&)eD+OzG~
zG&aKK>3*+44;(Yj9;c<wFrS$YnN(FwVe<k)Ryrg-cr*n=eZv#X%*_1<qF+y9>5(m7
zzvFa4vI4vF(s!6yW8WQoV0IkyJxb5@9oK=m`Qz(N8NZlCx=qr-`^K=F7YAG~?bQLh
zTaT1=>U){A{nxu}XGXA@n|~U&zSD*ZO~t6ffDUF>b!x@Acf(lP(;3I-3~k`Cef24G
zyph=)!0D>gFoc!e9=mp|m;tQ#&&p2|-Z2x-@igrh7{Uan_{vxn8Q>@MwmEtA5wlKY
z`={jiLG00tWuaq^7Qo3QMe*nWti=0QSeL;db}2`(0ti}Q_0dj<JoX5)c_QkrLKwt?
zo|0ZX$fpBtTtT(eAHyQNJJ$V-2eFlIzs0i}bU3suE??tXht)YgEc=)=h%Gg^m8QL*
zf#^PmTCcbU>|*fllp>)aOlg<Ir;+V6h&GyiGN#swxqc`-+xl?`ODh$6R{ls6jwXlH
zr_Z-x5l8D-!=4Od5A1$Fz28NJV`@AuxQCrs?$rLn4qryF`_{7C<GH91b2M<bm|GX7
zOm_KsOJxkJ{B7B^%~%6GxRx(wi1cD7RexZDkH;~)^>x2Hr`3Vr`!s*@>v!zk4ad`}
zrzf!ow?_Gro^Nu2!%+T2_fIUfF6iClnJG+7FTY@Zl>*}yPS?0xe_^xvU0ex$)0p<%
zw&QQCD3CaLsXkz80IOi4pWK95tlM10vi<g^2c0Ri-Jd;(b(P~@Bwe1vSh&JP$dhCc
z>SuLI4;;o!%{zJ}rRTAG>WZP|R%F;ikaAEtJc{jlD)33R^B?wnp#F$gAqn!OH)b`@
zk7G?53feJm7qNk$r_wfjB$#`I7>xQ!jI^2{{`luImUX^?;(JO3WF=o$a;QvWwTd12
z+4^hP&%1&RErZISOt3q|8asmt#IsnmHEm#vZrx`xU6sMH{-FE9=01F!D<i+!%YqtL
z?*IDNt^^;p*t4b;{Kfbk9(^w#W<~3lU+fWaQi2T1kBNzpe;CWBu_Rm`J6e{vN!r$<
z2#t?!opuXY#Qq(Nn&D2~iry4la`@z}2zt>b4D9wY_JKQHnNh-p76x@wbykQl_~G9@
z=jByQ*p3i)bBzaiUtlQ`NhLy;u<q1&`UVye3n7I`{HTm>wO7`F2-?XEnvV$!>Rwt)
zr_*pqW-P%$dyoLV{Qu(rwzHzoi`mgqZ-kIX3Q0Ef4guafH&z_D#g6KXW!zRyh#;=O
z?J;_X2#_mjeWyHXE5be0d>r8<hTgMI%HY)ruy9)I_uecnq`dri)%U0bO80Rb(cmF~
z^KfVl%PbGVYhRSDD3L<7bWxM~B|PMLl{;2N@gvo1%2${wvZy@Ug4n-?hlHPTzkiZ&
zh+N20_`6pg4Sq43n2;iX`Eps?&c{Ni+u__d!BITArCHh}v4;RxVr1U_cUS~<?K>tC
z7)wM=#QG!lr3BElnob?qCWbEiQJfP@m5?@f`u#&{MEH|<a_0#X2_(k8aPl!;1x4s?
z&070Lgbxg(mLow@Xwpc;LxVs@%Ko2!j=WNY#D_ij<YpOkW+r@T04V5M<(-(Xy-Hvh
zAas_`T^=1jU5E`vsH1Zir@j0vRbb%U=T9Nm@W^9V`k5c~ROEvH6#I9B1jD@rlMY-&
zH1O@rEV@ZUGd4%v#Uv<@oYir8B1I9!DVSu=B0AE=%$r41)IlKRQ_2oqWyEQ3skrf5
z3&}WGRZYieg1Sr|?fY*P^ktqtNt|b(0_VQJ@h9j|Ja;+M{tg)#zLXpN@3%IR80|D~
z_h7)4=J%PJ4iv=c!kXA{UkAl2@;^CzMF+n0j?WIRs38v}^<ry9U8GAYTcZ!_!Q9Oz
zd~LD@nwvDf|8kEm`u>xs_}{T@@I`X%hvy0vUH^nEOE=H=2XnbR;WLICRlmkaQZ)2j
zV)>V6f)2VmyyHbzITLa;@0YXPpdp=ZvNZceZ4~+N$BkF=rZCtU)u+-=Lr*1{N(>PO
zvK<RBm)T_oiGFF3AGgp^SM2?*Y^HS7{wn5vqmwx}TTa+2Owy3rd%+Mkb1E8jHVV11
z>C3M8&$OR;G!$f@G&^ud70vE_<)7SO0bRr|6{l2bXypD@kG5JR<Z<(cskWvi_<cz~
z+rCCc|GdMly`ED*JNqoB!<;SQQ@O$WQD+VGv8e5qRfjkVzF9crWMv62BR^}uJ*I|8
zTs^{{*7;CS1IK|!+?MdvHALr@qbh2tttBurR<V&UR;|K?7O=e5&DknNLOIIh^gXv4
zu*sj_);&}$;BQuv)?kYgTHaOfy}&=iq%|A-?n*a@Cu~-G+%6GOh*9<0mbY7gYg%H`
zYl}Hpzc{Sxy%Uf0B9p7Fr8vRL3cYqbVg?d_M|V?AWl_?9%o{Z=yui-rld=0?3Nf@~
zB^I(I%G@f`vRz#eJOwXtUeYv$RrTX*ZM#L$4a0|)`=8^$Ge7>tQYJvJkDjRUTO7(>
zb2Gi`Cj`snqu(Bj0AviO^U5ypAmv2XsK(Di(0zX+i$r9?r%7G2tsCq}wkKt&=8q7(
z`)I~0p>6^>q%)IAY8%+nBpW(DDg=jK?g+kUVGJ?O@ikPRdF+lF{)paYou_6qD9q0Y
z2*L+Sc+E#KZjS>`JTiqq!T4EJ-(5p^<5{+om$wb;5*K-p9v}oO-$S2gbZ-NST=96Y
z!#k#Ts^!;1Od-(RGB@;)xDA3SpXZYG`kC38)!Y4KgupQ7RGsEY1K6rrN=m#o!OX~U
z>KEY<f>Qj)AeSb6C|G>dsOvSy9I18bOWDA|oBBoGi!^;Ot7`}(b1pJDs~+v&!!HEc
z<+)+%8F~;yCyhmzt}<Vk$DHA$34sjv%jqE=J#ZL2Sgb6v1tdm}-d^?*0{QU+_D5rM
zL32CT5^aD5tp98MCtW23^zi2JlUsCQ4^{I-P8u7$gXc^+f-tNP<3(m-bzs=XdS~i3
z4$%1^{O8&|VK}{>lin<-0~TW=bJ@+C-YY$SeR`V+$nYvjh~LwOZ(^di-X7wD!K-g_
zA5MyZOaFJXUVUw#&GN~|jB&%gH|3}FUy6eFz)MA&uMALNH@dtK&I@*bc70~QCk6v?
zT*S<?3|J0r@%$pf5BQ}xg@jyj(EC7-lviZ{(`bjaPn7_$m|vB#!X#i|@Q4JpPYa4z
z)DM2w!vXL1*W-^DBq7OT$0d_=E#OVCpEs8i0$mmHOs1_gT(cn^`g%wU3N`5WGX;d9
zx|X4D{aOZoMCHV$s%e3DM`>6zzX;5RWFF+VkpoPfw}8&31vj2JNFA0D1t*FN$JKdx
zSm0tie0q=$SCemUBp8Unj`OL!mTq_upxNv0ZllA5R_1HGuQ;3@7<*W}>3L?hUmD&t
z(gFXVt3$9<0$Q6nTMyb1!E#INkslp&;LhK{!oNiddJ;uX9(PfML79Q!!3jDvS@q^!
z@R0@!y}TodK}rxn>DwtSss-8thW3|!%YY$!zVFv$WhhH-Kk>y@3p&frXumxn2PM>E
z^&d}F;IMUtnQxjFct}HotC#|$&ZSMA|4ss~lS<9>MJ?bGrmW8%!9zj&dzL0nRoI%Y
z;ePZO1M2>~ZMbJafXr`s$Jo><;CDAWN_dF@q+K>O7Moo9#P-}W)KU!;gS(a%?r6jB
zh7t0-m?E6;?|N}-mpaU8N6Z8|>%iVidxCbeD#4%cZDm_F^Vyeh1-uzq7ev`C9|TV-
zfraw^_6NLFpyc=QU&iUdt+=Z>({0M|<GI{XV#TKC)#Lmw@aw~^5(~GH3KiJ*-p#X5
zNfR1svKzu=4M2a$I+61N2?TZHhHBk3A#?nqVX?tBShQ&FDK#TQMD;S;+kKj#-(l&>
zbT<TooP7}Y1Q}Qo@$vRNn&ACqq&eV<5hRz;%MOLBLb_y*f!YZw)Ey}6yIx@oa*+gg
zwNX{5b6iwtzODh9Df0BVCKLE#7p;6&n*s%Y?L0et)FCsMb8xY1^Zz-R_=(^`0o{OW
z;S%c<Q1$;4d;BOsEJ5<u^j-=KkQp@>Tveg<`Q@;%7J$!sZo+?5DA4B@PA|Ajg2L<#
z?l`h3?D*Vg?$f;4&*8_7lWEEj_KB~wCcqT-=oV?O+N(ljvX=AvR7I%TsQ1ykYYN##
zPotws$sp;WF?s7c0Tjhi%DYNaP@a&s>m4LPHET)8TMY&HASGHV^4b(^jK+)`*+`(h
z$M^1{rwpL)7hlIcGKKk>CE9%+73h{J`z6>b0i_(TxmIqNg0-P0THH{A(a^!yj`u{t
zC^=#5{?Sd}jF4Op994vj!1QQ=H$qTdQfk<vVG8T13i-heM0jay|KZ&+0jRu9Oj{ZQ
z`0L0k%DL&)*B)|Z)l2dK=b4kPdN}}Eih4N@Z{UIQito_m>8+4B^VRgWJ;3EI{ymAS
z@-VD4X3i7M1{D9hH=fQj!A&;FR%}ETjE%n+*Q&69bX;)UzwJyooW8?dZc-ZVYAWw&
zezMMVh?aWho?-$KNg3`}1*IUTK`@C`Y?Y}RQYY8{%NW>o^nPmZkpP-9m&{#<WhPEP
zXZjz_7z$!phrd>eLHr=K=Yh=<li{s7R}*Cfk`g*?-X@~(@zUe8=fjK43AJ5c<k}1&
zJ7%p~epDE;-(Tw1<X>VI%Ze*!kqx0P{>$<FN+Aem@QgeuSYn3Cq=!C=-Uc7q`l_@G
za1j2-(L*$MnfXhYDwwtDt&;RTVMmV%LUkTDtHJaN)A5{B#%-nnz|9XL*^T@_JU|ti
zid|#kuHmYx^Yo#XgSATCj}MaTD#c5kH<%w&Bqj&~`hY9o+RFpHu;3$nf>^!<n!nBq
zc0}lbm(KSzEn6N4DDjSPsb|@ouVZh1PU^zi{#KJ03EbdZ$42#BXNAG;+HZEAx)5@@
zY~b4p7sS^5eHLNG4(D<!Ln%LWz%R4Rl{bS6d}0-(k_tE=tHJR|w3`la@?XaDcyhtt
z0DLlDmJ@E|_a5>3r43c~&RO02xL{>%-=KLh7aa29wV3qN25Xeo+IoTuu3FkOownxz
zy)V_jbQT#fKbz2<TFC|cA-VUmaeTn6@HRSfg#r6-to0}=a6^mdUFO^$ey|^@ioZu-
z0LKl<nA!*2uphVY{Op7v<Q_;4Re7TYGxdDOrT*iAc0HcP2U~@p<RC}9mb(@pF@KC#
zmlyaO4gXzH6^5kNYbC;5TJWWKM`0VC57NARD4FgeAog#1f>23^Z@Z#xr}pr}S(lHR
zVGl(?<%wKay&oMC0z3=lGX$XM=ZObZLgEmVcKvmt3LVUIAC^$raqzfkL2f=-0`lY*
zKP`;XK)y~f;aD>cX3O@KJXVo{g-V~!XU}LL@FK%5tXv3O*R~Q5c1y#AP}0!lD>Tqi
z(I*Jz3q!o-=qdG5S;#(Bdfd^M1_z5YIp!aUfUPfIk5q;{%+<9F;2ddCdACV@rcD%-
z=ZO3I9Px0X`^4A&9W*%gHO(3m5QjahJal0{0$5oP(z$GDP;p{=0NY^+SS;!J;Bl1*
zBD$w4#tzXSjzfRSph*%)tls;@YZO7dwf>u66b%MYq<o&EG=vuv7tXRNLyDz#nfy~4
zu<yGpNuQO0Bl=`fk=-ib9xHsHbA<+>{Z_9I7t6s-3Vg56Bf&(ZK8f9h4t-AE*QjR{
z;D!Mv6Sq!=)&7;=CpP(bsH!jiSQ#D+_NJlC{gll-XDi<Ass;bp#zc;l5MXC6=4$a!
z4N?l<HdL}QVAl!;4rN40dSZFu*t|NBxpVSpbqol~OINLZt_WqXG*8x(si3i(`)4>`
z8%#;fH`{8Iz{<JDW58Gw96Kq7HTQIYt>MAvo+f2@Jlo%k7o)+p@Pqs>Ug*MvgwDa_
zb`|*ZW4_Zbm<CjXz|dPGdYgRTz4*781m_=m1{#&oAYg4gv_-=JQu0f3;$M-$i$)G}
zsH4HMSNu}Yg>ArTkXF9`x+;{K_4nX6-`nVQqV&cuLzw=)>#Mm91!DMnz4x4^!K~uf
z){4zsDjTALGaI15vDt)BIxh{_o-)-RW}AQ_J-qOhqZ&N3RgjnXMTM4Y?~B97m_V|t
zEFHS72HVEH1>2l8VD)I!ndT&bj=c)Oga>L6Gqu};d`=B^y<UzWikU*1^37CcvKr*9
zI>%ResRB8?Q}N^_Q}D3P_P~tQAo~l>z*(LICcMqWxqef4l{fU{$14i7D&JOp{Za{J
zUN{C#6V0IHW7PBwUJB$ib1<o!d1mHL-nQADW^m8KLwq+~6$BHUer@Sg0HqV*g9ZD{
zKqmF;){k0bcro^f`>UA@sHa*@z1sAt`l@L6cySU~K5(^iSQCf(&MVvQQO%$;S${Bf
zKpCcvyf^wQDFQh=)d=QmrcfKN@K^Aj66n;;ym7M-gfk8-mujm`;m*&f%oZm_P>_iW
zdv44Py?t&&R>w`@l+1w%Iu{ZC2LJ&7{|uLRJk?(q$8Fgzmuv5Rjf;D2zE4I)6lvQM
zi6qhxGRlmsh-4H+B_k;r_mq*y3Ypmv3BRne`uX>~&N;91jPrSap7a&_?{;DgkmahX
z@J47aH0`I%_ti>(w^|hcz3P7$UL$GdWgP%>^RZ}!bulRans!ZU@DFBW5v1wq2ynq9
z`awmk2%Ob_DXizWjJd_<#av#;piJj|f4G4V9Pa8l_qBWh!zte%QzT(9H+`8_1}6Xy
zoKt*^n}1*;^9%bFJ&oXFecens8$W!AGM@R}F@?R}7CVQ}H-wn`k|_+Tc!)ps#=kOf
z0#kj#_?>6M0IW;f<A$#Bz+P{~t;x`F%!_hbXI|O>m~#&o3e9tam4T}0$;aau*Vzj-
zV(0b2_KyAgSq?6^xblv!_W1;6=0_wfSLi`@)n!mmWCz29hL1<Rr!ajN{)IROJ&1jI
zIP19`E5t?}_wlDrV_M;kGQUsi0>6|~UXb@5SgtZ@Zi$@5PT|uCV&ytua5~H`yp9RV
zeQWpSJ)6hoygs|^aOuEpRv()%D@JfhwhRkrU%~|VHVT6Lw1K^PZ|#0Q1~5=Prx7vn
zAEtgVdL(o}3#yH)CYy2ea3MS8Elu|_7Ap5JW!Y2<xDv0Gs$+COu+V4<8d}A0PA?Bq
zD=5%YHea@$K?{j5Bgz>z*D=E4=9Ml53Ji<nU7r-Ag%kSD_m<T+upx0VX5l<Cc-GHZ
z5L#*A*3CZIy09%wa+27WC`yKR>`hZVSv0^A`Skh6`5nw4N$?*rTN7Avsr;|+(m>E5
zQmS}04di>?lAV*%gwVmA3jKT<xD-`7NsFU{3x8U^wLRAWC$GA*#{D!<!1kqWe;_?9
zo+%X>)zN^El)ulA5-k`94fgy0Wq`)&z*b_5I?$R71~5OMh4=q-u>(m=AV*OTZFW)z
zMj88%It4no*_Ji<!E_I3)$q7<{Ut#&?s)WgHyxb6uCiZ<zzX|~PUw2wC&5?C10}Ut
z^pL^RLak<FhtcynjSc!FSU!5Oej$PZsF^!Nb2(0sT%HRiHLC%{$yV6MGJ?cb-r0i`
zZm>QUbK<nL8oXs#S<xwD0uF`9Ia?nbR3>q5SH!4-bGSnF=3izgbIQp-ig@69XfrR*
zmI~z5Wsf<#v%tD*D}8_p9-axuKJvby0=nKqGH!oZq0!ztcIFKqj4`@gS=^%nr+r#|
z49eNz>4OowaTfxlt#=*TDo}>`@SL<`X`EmyF5#7+A_&<>{aQ4SDg)D_R<3+oZfJcR
zcZgP07<y)8H-q_<fic{QXT~1~gTZm>q8g&`QS^ro?>rG4-w7T#UCaYlIeAXr@DT?y
zx<1>;K_YzLrZ$|R#lurk8s)rM3D_ylRcM_gf_x&;!~PN<$ST^E1e2uTHur5wU{i+A
z{#W+i+~J4yn8O>-;-n$x>IO^s?t45J47_`a1i&ZzScdP03>f|xUb1gchVYYY7x*s=
zL7>o*z1<Btcpch%a@tV^D1zQDNe&_~s~fb&#;yQ9uPU~!6jkBj&j9nyvtrPNyfgn5
zDuP>EN@ACS8tCJelBM=Zz;88D-%%?fa7UzOI;oQY$8G#j!$T7O^!|C0_*)q+(1nT#
zE|B16it0#wsuT<#{GfI|Q5E9Ppx=X^)q(Q{-eRy-8a(Qj57=^&AnfAHq_Z6w5YI1p
z`a6p(_|$skMK_W_sk0)la7`0(t#1y;SjfQ*T?39zcXe3Gd;a6RF$K=t^1hlKEf3t*
z38kKM>QGbhA@pad79<I#2K}y8fQICg>ZAi2Fz`Vci!{=KKf)=P)1)HstI#<Uu4zC7
zYw4KhcU_<wX0$FZDZvX|i1Qae4Y=s?@|530eW<M!7sf`2KtKHZRhovz?m2@|J$pm&
zLOF3&kCY)*g;i$el{%;ft<qfM!{FaF%f04WDlo|4#(!Xq1XnUzk~<v$qNYjYz9bd6
z-IW#P|5pw4+?)9?N$iC@zkh$HN>m`&THmGQfeHvVUo#T>yca@KNp)QDD&U+$%Hf$&
zg5<Z0Q77z-q0-Q@)muRYf^Po&7`-A7d;_>_p%!CM2`RBEjZg;p!1iaqM`ggEaHUC`
z-vlJLr<n+kiSQwhI9t>x3C!0Axh`NPV7Rti$QQ2!2eUesR6|8!b~(4hY`+PN@$f7U
zm@9(wo=a?3TL~~}JPgew6F8Y2!B;vV56^d&om%elfcweZQhFK_NZkL3)x~AEE*-QV
z-!`+sVXyMJ)GA}(VqA&O>W~3fy^z?4&**_G&4f&LH3pLZF^3>6X>f29yk(a97yD3n
zLiqH~UZ8(U(Nf5k1mcNVm2SUzY~;;NN!sMyJa9FOXK_dX6N5q1rdto@XyCdWv75KP
zhw};|e4@}~qF#`qf~cOBLOCff0CJu2&4U_3pe8Y#-*@*L^<71PDW(I!#G;}&7f689
z+lSRIL`_ra>byxDu^80%M!Vem4-XQm0jJA8{iMzj^5iC;8iD3CyxyO|15t^o_LB^Y
zRL^21<0GwxU`>C=d)SW~RINT7x3^iMX5Mku5m_~W@GKMd!A*9!+FYKMdvl2zEVpBm
zDQf^n?G+p~{a9eofpq>Nd5QXdQ?TWmy*}u?nR87sWdf2}%BKy9MXFP)`f78g9+33!
zRyAIr2SNS#%Zd)as3c>Db;(g(*zEgUusA~l?5(yr;Rk+FjqCG;aus!<pC)>+^3*nV
z;hpRXGvh3EzJYym<+=_;6J|)~y#Hd)bvc)5il?ddbn!D?9opd5-nYkNa}{%2k=SE&
zbc)LR&B=ORNgIA_HATg2{KoKa+8p&+CaC0F4@!1owcrSU?-gCgCG6`F$76e6j8cCm
z+^2q8q`*yb`LdGsJmx-Yw#Oi1h^n=c?t?!?0gm3wJ*+lAuq7nycsQqz%D#Lj?0M5J
zzgkD6V%Ddy-tJCGd4?Y9v-h1eE;?jz%aBxS7M#GO*jG5U%R8xA>EelOFEt?`@S%s8
z%_#QyZ&8W(;Z|zm*#}Lx<u!p>LQCL^@(?EH#yY_FzL6S=RU{YZYXGG^QRYZ-A9jbD
z%J8HVQJ;4Xm7I~)0Og^D5QDlNtjF5MT3_}p^%y@VDXvHzZd(j^oV5IcF^rGU-}fq^
z1~5+uu&AqpL6*)prTv}Q44tmt>P!yRNiLeFp?X)xE*d^>f;OyF8viqk&x>lH8zz@;
zPJ(fB2{+617R>ndNv=1->DZIs#|g5p)!@U&pwF*@nz1bzuKy<gKE;&K>y6*Ts<54O
zhhcG~3A<~#r@nBk3=3rasuj(u3aw0?>~$|2G3G5VY5(XqSZ6fD;~GO12$}xu<uuxW
zCAi(uYGbLzGE?x;o>!E?u*iP#fO`WLYI@*Jslj`U;BYL$vw{f0&i8zN=rv$VR;108
z)q2eC`xD>$>q?Nqi?i@P-heSLFFo8})r6%R>!0q%lwdIZ;h~gQ4VZo|Z}G9DPngWB
zCGS6X6hXu3_}z#@jo9YBEC))|XAE-=TbdqGfPMRX8=uNFVYl(V?jHFa*gXo1$xVs^
zWFN_{PbPoF{9frYSX}SI1a3U&dz2^-Q@@Vh{Sn-Z@yK>q^cr?!Yt`M_<Rv*^<lXbm
zlC}lQWPGeeE8B|+J_+1II4TFY&bI7hs1-ZJW%1sK+=nfMhT}*zvfzB=6Zuwc8)jJD
zVRih{0M^OZVt!UZ7Wn<UHDRj*tKUv&3Y-|iI(v<09^RLMKSO3jZ|K6h9^IO9NEpG+
zC|O+oz%Bzqwh`tgg<r6bRfV%sbz|6M5B#jTB@MobRRT3SJy=DPoEFdN39N0sbl@6|
zG%S?jhrCyNG2^vQGAG5SFelBYcP4L2!DT*E8~=$uZ0yAPCY5Iz3*a(8Fi$51Ys=pf
zLKp_I<ohfwDY`$f3=g&VTQQQrvUj6v(0Lg9TV;{_B4ZBYx5@X(<&}h&&zk*jZjWHu
zrwH`7bbnzp%{kjzc@prof;;N&(ioO$gqEbam#{NAW^KkA5|9(Vx|tO-fh}Kt^?d!=
zf7p46D3#ms;^5w2n<IE=3j5ZlqEK{c8H;#wpZRjF7##Grl&>(J#!QKRQIejk*r97=
zo3ksTur_k@Re|>pY&ejYt2b>OE8jEi8@TIJ=3SOkP}dx0D$nomg=PaY5I)W@eN_Y=
zi~TAHz4i;6_#Qg^rFaVyX1)}=*dPox7tfY+l9#YUMf?3N3;tmP0md`yg2LdnAT)BQ
z=Rd4bOiba!Ra&U`5M2(rDg^dM?Oj*$ma(7mF-N*A=)p7A&qirP5L6db>H>3Dv1d4i
z>yy@u&^H>@-*!k4<mXJ|2EMLiZzV1%CER5OI)96afEEF$mbBo0X0d@~eoG8mV`tsv
z8g<eChyX-mjGqhXwz0LXuayHG?7$VlEaLNn06z_srlja;fZwd(U&<&KJYJYxx|BeG
zM)l7;121>|`I5>Q?hy{&jG39T?I(ccuSaHU(e$tub99wAf)}1%wHk2ZBLMsPp0cxP
zj8OFW&OxtqKESTXCs=Ru!`E-*qOf6R$YOh9vNB14^IjXHx%31ONtGVrbzy}N+w;Ef
zE(n2xn{=S8Dgja&se(3291t#K88D<P3bsj+<{J?NNc?AN=^@Sy+#avb7t2Y&Y-}|T
z;t&9l@mDLAUvNNeeN*fERT5H8{(3pqD*(f}_1xLzydZburJnjrX}G`s_G#Y_LEzZl
zsn7Yq2k*8|-#Szx3uq$qW#BPk@Zn^qBQOa-X2889-N9X+Ti|%~R77FVvDf)@p+Yd<
zS!B<sssvKJScK&*aj<iwIa#;c7yX-CJ^fFWA=KmcwE-PT=pLA6{=y{zXZ|yNhZ(EE
zqM({@5VJIVO1{o${#X)<<FmL_H%M^sKc<aFeOb8UFz8xzL>j&lUyO#H)POMmx$m`;
z@=*OY>Z!l5EY!Isi~T6qgc~kmIhE{02zk5rpZ#AsIB_mPOLv<LN1g@-e0;A8<&$*c
zQ{NTf^6Xt9aRn_Htr+$hzNHSs&F(^reM+$R$gr-7q&Cn5)C+0-)&%#O_uY~8%CM1?
zr}3{_8|b>SL;pV30#POH;?@jRa23dvuUFE6rjmfRi3DAE>U|<4Plg0`q3S7SI2~Zs
zBJsHA8o=q;&RWY+65I%Nwsg6w4M&{n&Lq@fpp$zQR{YdKMLX0Nj%q=8W3pSa+g?}?
zN_W)xst(2`5$sAuWayl|c|*C~80xpIo><aqfMC+Ec<~4gIJ?J$<jiUcEGP5V7Z=ol
zx%3!GepL;AXC`LTu$qB|6)hL>p*pmV=Zep|D1rBs^56ImX5gx*akhwKH}2>3ef_(7
zcV*9&i3e)?AbDLo`JNdG-1H{$4O>Maw%d+Z#C9Ka-raMTCQ}vEOzAs6^YQ{)5Sw!(
zd3S%%NYf9y-MZH3xg`zJLA2Zsm&&LaJUq94t$SJ#a*5ob!$-R?u@$+m2F_;iTV1F-
z!CD?97rW^1Ut6bo$7sb(HJE}bNvKx6SO)qtBZZBpnb4&iTefupQy^aa#LB@b1;6**
zN|}x2LbTfl^QGNQVCP^kX&;?9IQM;_T;1kDk+sEam9LC}(=o9{R7wbv-0isE9N<GF
zGl9W3OvZ2`j&SvIEFV-n(~d3c;YU?+uU*Vt_X57$^7?I49CTEeRtC2c&?0&!$khxm
z<)gc|y@(ZNwzM+2j|iZDEHutpyFSn?JI0&gIz7nO2@mE+383Y2J)>+748|Wmt{MFP
z7wbH{)iroq0L3;{zEJZsg1GOWKX7C7*k^^HUxqFMNZ~W0+TS&Vto5NsA=aO<Wh0K^
zRYd_*K;`oEt~CISW`Fjj);{V^vDenkc>==5ye~fA(1%AK3(ek5&Qndp7tI~Y3Fu&%
z++viOK76@bt#h4YjaoYT>GAV$0{W4&FDWNW56;zmKXhYki~2lzwcx2M0a>g3pljUG
z1<O>=&vxOoh-PTIfpDCF-m-Tw(0J*BQ1EYW7jp(=7x{1dkrM&k<{I*j9n*n~L5sZp
zPA0_QKe)jcMnIMQ$BJ7Wb)X>M=hAg)7IfU78k|v0K>GLpP1%0eh6~ESC#4Rup=mYx
zykRZ@^x96Cx6fZ2(hu>YA!`nFHn4<~5+Z=ebD0eatlFS2^ER&EfD1Va_b*j438LQe
z6la}6E#O6XFXK3FbV-7NW?zvYS`;=G;XI@TKFMUc{eC!9NmuwW_pA`QJ7ayPd6NQa
zPeL@W9p^zR?puG{^@UN6)>>_583kr7Y{qZu@uJ>iCoTyqiJ+GchO1jHQUFK2tNBg>
zkFxQym!#B1kr`*DW2qJe?#f7N>ay{nKf-CQHHXE}n4!bI3ML8&;tEunH~EkZAu4eD
zmN**8dfIzvj0__y&tLyq=118Msk-AH5-4qBjhVTD44=JqjOJGe=s)qC!!`s-bbDZP
z*|(ew33rXP-v1Lo8}&mSiye|^W{|Fx_<{_vzK>I+_=HduZGS>hq7-6TUJ)NHBf~wh
z&`*IBVO01_IY#BAG$J^s8EWs|@3wV9YtmT+d4Oxlgp3TDNyxPsn<T^Cl?)}(bWyZ!
z**W@cMFvT}Ox6s=QGjpMx;~~)46P-rf9P+NMc1zfroObIKtFLOFp*mVHB|ibR=OvL
zax=#Ke%_~m)Pom_<SGeNWT&$7!ATx1h_N@NEK^{WiC*}%n<T2%93m5?6i~@{z_lI+
zE!di`l<LDtq2!+_Cu92+P*~LQtp|NtV16c+EJT$;8UhE?%R>}V^EEo=IA?93){nod
zIxmevBF6KyxRp?6=7!bxb#3UGVhnl7BZKw_yEa8fE1{|ljev;VkN4&KjjmS}yYYNj
zFp!y4Li2d<mme*4VLgWNx%DAg<X8Mh00|ROPrqPO8j~K##dHdPAC^U@E>8%@suI!Z
zow<uAKI(zBrM-QPgB*g(D`a;8BHD4czWFy!AGiuDwWQnSQ0uqfjH-P~NLusfJ|-Ij
zFbF*_7EY8$y2K9&bDm15fNSU8J03&myz#U4y1zU!PI3yO?NUVP(Oz|mZH5p;Yy_Ho
zdGs>n!l%QWifCSKvezTX2o{z<83k9%qm~n2)0AZuP}3BL##<2#(k^*zkH3{iJb%=k
zY=q>IEul-L<{1V&tGB*XKafWn-6e%jmu1oB`NElY9Kew2Vy}^#JSwS5eERQ=47&a@
zlO@9#pj(QiazC#;s-N>UtMrjZrgWn<%pL&#+jXaoK9fWHtUgKFic6uRq#ItXApq0&
zhR6Jga%jN6ZCSoc0&(Qjv9HGfP_2~R)iPv}09(7(3ZFO%Zl5HtM*~E<H%4AqlR;;@
z4W0!Sh#=jf9MY{IfOG9fSZ(*oph^6mijSv-&@_+!dg57tI$OjeeMcJ2<d((98VaCl
z^TI(LGk^fX@g0d)DReInTc_CaBWA|Z@?sHyg;k!n0ZdXT>GXdfnuA9NPc1ea9>n1M
zxbG9ey^?63b#2BADPGhjZjY5;#9-uJdtZI91agtD8!P{YL*YG(T@9PNbNB0X?%H5+
z)aXX)dezR2R?eJr&I~mI^f=6&mO~7+mYG!tOmiWZD{n_QX^cRhU!T<fLIi2DcC6SW
zaw65te+~^d3?a-bXhhUm7|}~U7GF-`K>0rJ#-(@X^y@u)*0>dg&_dM*vA?tIsOnVK
zr1J#>*oktobYc-iQU~^mv&OL_!bRQKknj3H>)AL>p%XxIeZ4OPec4ga{u}kj9Q8pw
zZ$kG7o`8bdqv{?cv!l*S9t98j^<ZOuZzC`8qX1in$S3pc2)8xzWag+IEUi5>j=#-^
zhIr^%n67i6lOOJ#uj<x?oN?d&)G0i&!fkn(YI34m%N=XM$8^EgNO<v!Js$n^H_Iy`
zaG^qyt7Yn-4qWgdUF`V9iwv)7*k$6lQMJU7lg$|&aG&Bmw4KI_L}H%VG#7EB*e`2g
z^h?^%W!mJ{aDo?|i_m6{u*D(6jV1HdP;Dr(OU#N<<3&3sE8{7gJc##*1-~!9Hl$I_
zqF#&gBAY`K^f3cGC^$_^r>;~BYJ3brsw8<4d+PBhyVtyEe=gmyvb7dWwsg7i>hq%h
z?=V}LheyJdziK&FDG;b&rey8Oi^7+#5<h11q2;>7H*a$&;B_Qkn&Sm8;%8o|?0mtG
z=nJ(~<E<&+cbjDMhYpWcdb)^mp9v_f_rCi8T0o`0GBX9ne#Yc<T)?A&)a-|%+XAQr
z<F9jQBEyY{*NRT_c(nK}f`Ji)kbghE(fke>Oy2$%8WO^X3L?b{`0fd#M_GNOy{E}=
zr;K)mU4|dI50CF6X1D*{qwWoo$WX@U`gwkMmu>1_EQSKakk$9dFIC)R5PjzDw_Qj;
zU-~Qz;%IjJl-kLgxS<JqT72E{(E>;&O!Zn>y96Q}|79$^s0ruGShiNK3!?0mM(fUe
zNmP5rxJqVsy=5)q<Gv6fbUp6XbN+BCG_0Pm6|$)bO%ihzv8lqyz-v_9{j4-93=r8z
z$47=wpT4(n)`*~qR?q5vRx(I1V?80tfDBz{zgCPbiz1V<8v_H{vgkI<_K*9K!E~^F
zA5~8rHFb-ac1X#g+j0E9y>H2IKFp-}_I?ROVm_yD$0m>5%ySpmxhU|oUe3aPT>{0v
z`l3f#kVnq?1=DO-C{Rm7@yU5Ei4vanJPZD)fDY0~nusq@;LwZN_9j;;G}Lq^Xf;_8
z%{YdZ9=xgrb3ceUT48BKJaPH$;6WwS(VF>652p=@m->#Vf00J-B9E*J{Zc}E={|?Z
zS8Kxod*+qJ+cKy?R6zgoB_g_2aF3<UUk5H}Zp7Zzltss#r@0HeiHN3)-Q|R?E@b;|
z4#@S(BJSjJg=$V^WOl<R^fZeeM2ZZb%k`B*m&*7qU}DPX7~WB~YfKMRl#VcV{*^;k
z4<1wUcZjISeE*bejXp><<WI-@%A@L_M#sovB1$^BNA5tn0hrY>#eD6ONADRP9s8q5
zL>Ys6PueaR!v5(~4}S?MpenIk%c{#tDEHNayW;vrAm^W48)mM6Zc>_5Y!emH#VbxZ
zr5i@z^w@x}-A(~<s=uxk2vb1m0$Dsdg&0`qP5r5~RzM*JSP6}lJmO>D`+HR!z}oK7
zy%Bi@^q@b!%5hT`g$*QWoOS|Wy^|PNGQP_l65cK}RR*P3yy#L)0wC9YEVH{QkKzPd
zX0;@x(fP~nrgas&x;@5su#-+6CH<}CwtFUtWP{DSetrVT%eZ<m+eZ$yF$Xvw*O5SZ
zJrdg+odE7Vg5txwzQK<TrxH{kir%Onu+D4&=nW+M|6`Ly#I#=rIBA5@nw{JImNx*M
z49l@^Ol8n<%QH+Ru>uHg%V;!b0QBu4sy6xWa^Iw>X4aA)C0Oc>E?)u=B01FzXGx()
z?Oqv~2l0rg+htz67l1BczfDNJBue27mr#u1L4C%~)rqVC7s5?Uf6PfB<Lz(dBaAo{
z|4X_q=>Z03T5P>(`6bXs`o(kiL%EP&+<2n7AO<XdCVu23h@t6}kH#Ke9H@ozXeA=i
z2>!k%lICbd(M)mB>_7t>I+(^=rb%xEr!RDu*u@B=(T#Sxuv@Ii_u>5ndVfPO=1@^7
zkrzTH<7KoSc`WE0^H<N);|3tfStPVLB7ja^a6KHy!-DE^mEXD?Hh^|oG5zS$UH>hc
zV*nj{&_HO(F^)QYkY0Il*zqAh;%6xH^4VR_8)mGQR@DcM15=mA3wHgdIo|I*8w+ZW
zKC*3=s|P!;6FH<?@W|MwqV0V!3;K3woV<?L1B>@`RkJL3q!#*1bxfQU$>5pzAK%f1
zXx2EddN*F=Q1j?@z%N#ms=rh8m{}JL#MwUb4e}uQ@Kv3f2{u&5$gHw2QU`3mHXKp*
z<UvlnapLc{*wOh!1KEx}I<WHupKprW&AV&p`=h#?sBYb%E%>fB1W5gfyx)aGc-l8@
z>uFr*mK^+-AfyeF1<hveML1+t+c$D1mK(9%Q9Fe_(}G%#O|A8G9Lnb-L{LuQ(A)(5
zXq%B1(40E+E<X#0ro(t&?P&9$iDpsL;C>2t9?xtas>GqhU0CkO@gjYvu%UZbDbVHc
z^o;m44&i25wKC=KXu48>;2}bR=AV_ZEK0j^iN?Dh*XBd73Tf!gKazoEiazULI1h3S
z{OQ_qiXXMJK6w4`8X4+OK5#2u;6WQdep;m`5D<s*Sml>pJ(t$WJ<E2H7Zv}K8MOZ@
zfV#yd?Om5Nfth$&?kGJT1=xq07OM*(T+B88-Zz@C-m{o|>p33j`*SS(%N0h6o@(hI
zqBMa|{KxUf9(?F|RjckJ8Bx^h#M$-5SrdNyZA(;Z^P@<y4@aNWh@tZ2)Z97~O?Z3t
zL20)z0Zklx-s(Y?K=G%Qn5@+`A;_;gVU||_rFp)PFv3fsgX;dZE=ro9Fm}LtN?Z_W
z8_VnN+m=KOk^k1dscFLZq8*6Cgi!h7s?OsDDfB-80096043}v<6kHUCEn~?#W8c?d
zW~?*zea;}Ih!!NGsH7xILYsurLPV&fQV}WMl%>?15T#IALUu_>X|W{RJ74dI`@83N
z&iy~<nV?!sJh3;1*F7SEF%gQmR>XLt(wHWWM+wi(2O7f#AKB^^RZ6I#7`7xbO2&o8
z%e^-;jiD%=FzGI?f;p00f*zl>up;PiO-Y9_@H5t2;*M5D-seB#oxf<~y@3bGB2*JF
zj4QM*J*b9%-r0OF9HZd+b6TO9=S)D=HOoZOLLHZ`c1NTPQjuq73uT<w6iz0ph_RN`
z(fm}w{sS#EJZj7|i%2zv-q2fLVjDH^x8AK8s}dcgrwQ$`)H8!KC1dfo(={<rDqPj{
zfG$4gH%#g6HG`ym&xGB!kWr`GsK-@J4?`mD@9n>44%TzmtqN4MkU8`w)S_4qFAp<h
zgCZ>8dQn(Y(nl@Kk$8QrTv#7>cO7g<+-M1IFSD;4PtnHubG|8kcKWE$zA~|yX$3oF
zlC5Xx6l|DzGnL6XKR=YFdfM0;-V1C{H>{<gv##~AA%1=I*yHxjUB?Ctc?30%+fvcw
zw9%;dMLi52EBmCcY75mnj^B^GM#Z(+U(X!*s*BBJUa?mqcJP+>bMVY3D)PDrYWyJR
z;-}^Nxp%(XL1ER_=Ly0zoL>rOWqhOI&9kv)u{BJPZ4k&<N1|a4QAYIWO)7TgL^<kP
z0W`87wQZlKqMz&8<N^~4dP-#f$w&rZYBybeR7pi@UUS9CJ6afiqHIl1Bf$NiaVyNc
zsTgoyK>oxEGKz;~Z~r#~;P=#u_sK^JI!;LOtPRk>8!qXAr=(dhv&UiEFBS!tHeL+3
zf2xLqA;a}Wnk?v+?C3W?uZ>3<{$;hVQo%OCA{J4D1>@_!xJNc>q56I?%LyAr6x?D8
zT_hGr@A0Si{~+U=DhDq@kR1M_{o)Uw0w}O$zx}{@$Bhy1b)&7)sCIny_M@)>!aFO*
zDwH&ld1x2c<WWhKSt&eHkpqyN&Eu4>tATs`_UHQ?AR)2yCZ%I5z|McnbKzF%=)8yE
z>=h)AcV$vS4=Dj?N=01Ba#2I67iO*Q2Sm`RRz}pNgb62#7tK_gRM1)Eg~vxhAxz1s
ziQFv5gt(e*sn11}@vKPfksd`seB~C{zcbDb+}?&J(RM0gnJ<{V%IC-SWcV65Vhc_z
zQ_aLqc{~*odok_;AJ)&Mv%jshg+E<aj!^^U&~4_P^4kFdifaES=6uHnPX1Kvx-TM&
z?YTi?i*W=LvwM-6C~O0L`wUn@?b2BCJ@A@%FabAw9vKe}vxY*!j{-NVr7&Qf;v2#R
z0wx;FnB4tf1)3+aQ^KA~q6WQz^5-`JJ>Fm2S;evf2bx$mX+Q!8Bw8+!lK4>K<kO<L
z`<B3Cw;^^|Spp9dS5!Z;=SM&Hult^=TEbvhM+-5Qgj<Z%r&mz~5DfLr9WpK8@`HOB
zC6h#~m6LwRFcd`6k6*zkVgZil%t|Yc6LGv}$M;6B6?pg3J?f6r=HU6<P*`7=h!UP#
z)lIGm;j{Ffs4YU~5WCOx9ko{+`}17peF-9{lf<rVId2C1PF$W`>Ebvt>KD^`QWUSJ
zco2Wcn*kIy7t<rf@s4Adc#*a^-Zl)V{c^_??n(QPTE~myns)k0Rs<2jIh;9VV+w1S
zi#EO0;y6B8eYSKP3HON7BV9U8U^{tDAFmh@i-uCY*Z51I*oGetrcoxay2WxlW+M@s
zitCF9LM8EH^mBm)c@wbKVdwDOBci-_?|RQPDXh8L$~{+a3<i>i`{NWy7`ZQ3>2|#|
zmi5L=q#ZN{OHseH?kgl*aX5(biqp@RO<L(@hQ_dcSf*W>A%ULKbGA={<#0}2XHUqa
z5p<sXS+lQ40wwOq^ab|Hquy_lQ$wW@+!fu#y^t-58Qg9DDV+JDnjh*LPd0*IfqP2?
z_DJDBfy~}EK4s*I8FIWBXaquGIt3l>(l{Od!}!8e6&$HwqmZ?lbASBnkvlFjct6*4
zVyBZD9t>`>Z?`aln#oNf)mvpzWl=Zsw52+JW_(|CF*SmSG@3UhQ4ZIsXQ@9j*TC4?
zy#z_75g3N19R9_YNBf;k-6YV&b^pvfT)d3HG9|-nn5c+upa02hT~9^><;P$UX9Tug
zeNo2`DxvZ_Vs?A577}8CKFg^~R={2N-=s2rAo?-YPif;y5&6rbJjM{wD|Ji!h$?z2
zz6iE2pkRHC?|I$r#xUUb{rb^!YFMwR<aM}?ip5#{Tl?FLAxkLstX_aRk|X!fR`$^F
zy^!eOkdF!6e)rG!l&uE#Ga8~-kLuuI4V$ReITQGNFy-=PPHq@REb0aH>tbF%d8F%}
zDSY5v_mFo{6O%17nkt{^q3q)t$2-wxuyVWfr*9w0_*<BwHE>KHHM4%S+j*KpD!qA^
zV1*V|=6EbA$r>Q#u60buDht?<=ihOIQ;+Sasbfu?0dB4i7^-!)1cJpWhg&Wby!MDH
ze)K;B6ji!1zjw105Ra_dR?S64=K#|hnF0fpn0=7ru-_V*4|R*}<8Wc-Xq80$W&<pX
z>YC_FwgC$ZZ1Ew}aPXSw^y>zFeByUyRN<N}*caU#*?pFV5`n{2)02AmD^##8=&l{;
zY>O@X`<8|#f{iL4I(2dT8hd}~LME6@Y}>2zn}(4?=l*^>u7e*1EROfB1mHDf#0!6?
z;eD)j*f&GP)?c3oT8cQ|j{Do}Go<0_*p;@QIeAYR<JJ;b1aJ}$<IUVh!<M%hl(hX?
z=+;<a)osfH-j})01v%WAOZnY@@|-5#ye@WR^IjG#zj6tw;_&53=h)33x7AVVJfH2>
zBo;ir-}%n$8U=SW1$nMXQ$-Q!RV!o8u|TbtDb@E%8&4GIoT4o#V#cF&JYDe|zU-->
zr1Wdy_=Df)B5uf`Np2`NIfw-v=Y6FjhRL|)x{vsi6lrw&E5X0Xjs@T4l5W)YXyWn3
zt<fq?66nX{{`%Ak7HFqsES!0xf%TowWaE8^c=pV$u#qN!sy3sD<2CAdc^g#foD{)<
zuO+gPi2yh0%g+Yyt6}D%##-?uK`h+?Y#9rHjsB<fAFoqIzDfoqOoktGD*u>Hv@oGI
zAhln0gEHEDt99<H<3;HO#i|(!6aIC2f0zwXMAw~_0&{=4(QCa-ZNX7Huqw75(Yz^-
zo}Js>PZn~aOJly@$U9qTjxleInUzH$;lJAspIBx~J5r<cwQWIZNBo(Odu32-x`4Mc
zY>EBX=*Ox1hi$;wnb5SITN=ai8(Pb`me|sP79FeFtiexiOL=6KB!*1c9W_#1Vh_<<
z3a{&1Lsxou<wTkUDjiv?Yg4kst}i2zjn7)aEU&|6t1~1_@}JMl&0l6)MhmmNCM@CM
z1UE6}CK2-p4;$v9x$vvto}sntEg`<^;IMe5IBtDmrM=pb8*`NFbnPBnz?BzqY_|Y0
zyqkW=<r;$rC)X)@yHPBF+;(Z4-$@iLO2*wz+VJ9kya%l=<(Najclnege-TWnTFE#S
zK)@XvUQ{r|%whA@<r{h>!YK3lrWh%o4|&vTkLo9z!2^xeFOSoNaqG<bFFybH(P``v
zIiH`y5ox<e79B!3%+Hm*Zm%F}4Gnb{o;C$NmFDqP_k=LIaMChpdIgqci??kdnS$q$
zo6et0g^=e?p?bk3VYKW>&FsBu0<~ki`7eGH!d=WHp~K#yXm+Zc;$dh4-L{(!sv8O;
zbs^5<p_w?AwzqDWdSMLKCTfxeMZ#G3YVDWGOGJ!ZcXseMC&$d`$=qkwh~V&PD@Xn!
z5_;{{;LhYVhT54Z_c)R$p6tp^Naf6@ZQ`nC?Yl;h{E0{6_>w4wm0d3^S(e1AriMuY
zZzEXk>b<3jB#w^HG)5bprP1((U(8KWBWUxzobp|Zh|?Q`wAU2NV8%<;4+mc{fdABq
z{_;*DT0IYw&(e^?zv-p(5-AL5JU~~w%i)x`f4kj$xjY6NW~8ckGoak_VY7FX1SSe|
z`4##rqD1#q<IM&PSlO34yK#pk`UDA8WNItp?MSC5Iid_$A{`Sk36{dT@ImtfD^xKg
zXM<A5EFC7I=>iuLrBP*J=(Ka98ulFBzO4F#4n@Ci-TPZ1gQKEq(S7Oa*f%?tUi^y=
z29dp|y13-f-D*mf|DFc!3mdep=Vd^KcoZWhKpqn>&J(}3YvS@5iN-E12J9&RRXX%h
z0c&UK4^aiR(EeY#VF>5_Qq_`Y-h?P&^!y9kMn`RAbtc`Gyv~5jNQqCBQo*MuqHhT&
zQ*c~E`^KJm1{`}jw4(W)DpvDI7jJK&;^oz)Yk2n=fuFSE^0s$snBE(+iz%sti=`h{
zt)DT15!cNupIUWX_i*!)*m_+&!fdfk%`t|siKd|yk2R3s6meZ6UJnZ$GODvTnZQq1
z>t&@1O)OE|q+fMKADfmc`Wtji!Ebc(N_jaM12$16C2|b#b8jE3PQeTc?KVtpEY(6Q
z=K~}Eg&5+G9?b_EHO(Pk=Ze?2TiW>k^;+R}0Xi<tPHke?TR^H|lS$Wk3OYzcE}pZd
zqiR@*=18O^7<?iPa_yy}i~>n^(uIy<;U<itax2)OL>c=_r(toe**7H%I&L`p?@HXf
zH6-ZsCYturFsA(G+M+2#OjSLk1&+4BstO)(3(~>)!uJVzWJ8P{@VNas$qrPM)}C44
ztb<(d$N!V(Ho%m@nW5QACiHbAS@8+!;=-SUpO#bg(A?)OnJ1XTmlZyf4hp*Hvmv})
z?t=~%v?>lMeFhk~@Vwe|K?kqIKD>Kpl#07ayQAmaSP))W@bze^4!TzDyim;Hz(vy?
zOu1Vu@ULM+x|r&qz{XqE&ojs<``xH`dXNR;i&d5D(`a}te>WGwLj$jVdv2`2Zx1^Q
zFLYh3r{aG4w{wlkYWUFS)`Yl}Jy`3t$60)!;5xEbh{>EHs-0g~4<hz35LMr<)}oD>
zM6=<gf3i4Jd%>vwCkw3AbZ!)I`XVgURmQhb3TwkP^2zla-f0r|+MXceowvSh8&ML{
z6>blaPjmc8jro-7qKV#2KdGynJWJib>~PMW1slwU&e}<8pn%T~gUV<DJU^gSwD=pq
zdfg7q$GvLUC+u~0%$FC-=F?O@=5jd8x_yVaMHMf#e=v6B<-(Drr^TlB05ZuAY=5FM
zN)9dkeemcXTZzo<PkqINfy+D=Z-x|bUBEM!&ionnRe{si--MZvtKk2DzfBGoWlubR
zQTT`b>2&M*Qdc`r(wHY&kI5kMj&X2n-Y>QvSLf3cX|`};&VXmPnlyIB9B^E{<0t#U
zqn4Gq9X4>@vd{NyoFrc0Z+a+SI?0wXv7Y{*Yy-Qu+?;M9NFaX(%4$|lvRV5CU0w%U
z!*~nfOnE60XISn}l)Zkk2mRjP@2s{0y8XJ4uq82czmoX-mB}ym*ToO*#$p^#aW&GL
z9}&S~s;+cLz;CuUpRy}=kR_PzvETbrL>T|;vIrP_|A&2>Ygh2vdJE|N(RIZoY6b2m
z=St_rPP0v^Gt&~<77$+dP_ai|5EI2JwGOYFWv70gq-{9I@e$p(SL<f@5xTM_oY&5=
zHOdQ2xn|8^%O~H>(SrQwC8>A(*WP({MAm<elDo{{oudC_##%m%3=EmoyuZkP^52*D
ziQT5~?a%=6Zw&#tySulg3UZ<NC!Tk%>rG)IX=PEfHvwZpW2(y6aO2PCXUjsGO`sq&
zH$GjJfC{2JcYEdWV4>IF^buDR;EsymmJ=c1js5RNUl9oS;73nr^?PGjdHeOl^U4Iw
z*YSVwB90H)6|wApKE`k?_NwxU4Ft51QjFS862L}bS%b%4jo>WN0osZPSb0PC5urv9
zl|I!3l8zX`+NcK(sKJN#zFU|3oe)BumjZv)C5>PqNHDmsh7U<jJ>7mm94;kIpOq<P
zfM1R38Oa!awEOp*ZV)PlW8Xi@klh(Tawgea-6Vj~$s$*!T!~m$Ne($XLx(tPxX!y#
z5G4-(Y6yuY;hp2l%a`-%kS%t&SK+`46!0^!o~@L?>gb}MWt-?gOQWbQRSBW+%;}y>
zL@AtJ|829aC>`Vz8U=+lMX+mg&=dOvX+%DczSEZsA*{VdqqkfX&&^V3gCtoz!ZFN7
ziXjYnhU(hy6G#8YFBd(Y$)VQzxU~ER0~oxU*Lw915l>SSQud!wK$%^y^y;GxAXo3x
z@>CfKyFzkonxmD__c48~f~^7IzG1Q2w-V?Qe7^F{DHYslw^6oF&H#KK&p2tU;BalF
zuE(RTY8ZG97B7k#z|)1k+cY0(yl`b~Tk2_bw5{c_)lxA4&rrTc?Ts>6pE4D=zEK0G
z(Ixzas{#D!cYZzNCWjeLV&l7H$VktPMd9lPu&e5q6nRP>>+UH>=S68@o>MttM9vTb
zgn1gX9x7stfmWWth&EQd=fk)fL)i83E4O&MGRAFqlF;Bo#n-dd3b$9$Vd(WT<zBKX
zW@+5oGWwB*rD)jH*F=Yfy19KLZ`5%9{KqmaKaTHkIUbPS!+?=c_xg{6>X<k9iPZT~
z4?~5AHabu^yzA}J@><fsc3+=!4_pi|$&$oc;Or-of6?ff1{tSKe)M$}7-D5iRfr`w
z$FqF3!ym5E!pOvlgnj$zXj08ZmR2=|wEopI0ukD%SmGnU^oNd~uB(LOea)ck(*B9!
z3<^H${G7FZ3j=rEj-xG9n1j=v;<HbRsAv^hXpwY<f%M9=J2&W9f|_fN(zSauES%nN
zE&Cq>MTg(YM3h;9nekz^agGkg&3MSgTx4Kpyu-hpEE{lI8Y))^(8bEG-$g}^3|#%F
zbK!WKE!gh&ERiSZp=nfgTUQMo{a4az>wTEOjJ|UzC0Y+vUqHiui-yQ_y?K=t1TfX|
ze(qC+9=<IZD{fXYz?Q=n^Rh%1OfWSxr8s^#<QiVW{G^LDUH2NvH(3x*o82{aMh_Es
z99tcB(eUnrn-<DS_E47fR_(a59{Sg*u6$CZjd{F-$RA@5WF8m3;b>h<`C8|@?T;p=
zU)y;(<dHpaMgC0Nl&6FJ@(19pKF2?5htBM7w}-mFQ*9ktG&HT=Cbn;02`!Bl3gSBL
zL3V2eJl;*k9l4u4D#m4zjs*nYXZG-=OI<@>iGuyah|dRBO5zRf@WSx(_R!dux#oVg
z7H(1Uq(8S2!(n3TjyzX;pt|H=yX?&2=$cbG*-QMGX_c|@{Q?V&T6*1HwQ1nPS9w>D
zwsWEWug5=LU1x!;(fRN8{^}?z(BdZ)GRwZ~-S?x<h6OkL$?e*oRMEJ1<&6ZVAMCf;
zzs`MW19)mi+ZwE)j6cqt6bWGtu^TjX2W)l&1j*f2SBzIc$GYx+&$c(SkES((*DMpL
z(uGP~{Bp?ETwSX5ESz04Cnl|~$^?T_$8_FD(m2}u_|q4iI_CU^RoX9|?Lcn-)5-&B
zl2|cu|75gxE3+eXqAEAW7SyAyWLIAzVg2Z^+2iu}Op}bXgApY*aG94;SC%J^^Q{q&
zJ)GN^Ja(^4anu@MTSu8wpa@ROXQ}_3e#g9gk{<DxYz^-G)^6NKS72k)zCY_Xw=f61
zqr7$pTfwEK^*e8l@#6@e+KZ2w4a{`Dxwqxzmf-!MMtf5p0ojs1$G${9X1;G~^@!rN
zgzy`tQo~nx@XhD4GBQ^db2&ZP?#N~fh`k=!^S6f!Cw`tjed2E!du@dDp3Dd4@OF`6
zoz3wveHA{<2Ge@>8j-w#(<F1)wmbO99?}APzN<9$w(?tcCSmKMPLvsVN`^XJ@0nxY
z^Sd`FVAjbNTUS=#+-C~mV#0Hx%d_m=U)nDn*wV{RF!g!)#Mu-&y({yX2WQy#{P$l8
za~NXh$`c}e9-9E^khO4<#WXu}EX84H>nHXq$CK6k9N(ET&MKd^n_~ZJDJsoAHpYIs
zCN|<)p)p)N`#te+!XLI^Y36@2MdR$5U-(OiYz#7^4cDJ={b9Sci^h<Kzq3Wv_B1kX
z89{=XWg_{(Z}#3T4}33Y|70`$#?CHt@<;3O@WI}U-|YN5*Cvmx{ms@X^?nw>;ZcHv
ztmu>c-)uGGS~)l36ni>7zS6~t0Rv^1wm|Q1HdL)rnEE=+9?k21@ZU>1IENOwowNJH
z9`B8KpWi#ne)j0+kK`?M2swEw*Yo8c_Aa9i&z^}nHZNntn@a<R(BCiNKNd5^uG@Ox
z!cNr%HpR5newJtm2e$owMRcEL|KuI__m5p-(~Rm}4V(?YgrEM2wr+;4SUSH^={OhC
z&!`ezlJ$W%eP@KwfmyaMwh0gRa^r$XnAYwVJ;)yYA|_b(mmO)OlpyWNiw)zEn+g>5
z;KGsRy;C;-*p^y7Y2uRveD2zmXA!0g@3n0HQ~ET|w(`)h@Vm>8(@GXkx4+SWO10lT
z&QBKELq@vkZK;Cj#`j$zhOPt4I`rA+FP7Qnnw!@oUll@0k)1og=F%Xp_b>l#UT#z;
zrTPqf6v4wc-@LMupuv&FC<`fj9*q1RzdL!IIF9ZmEU2ebp|dOXT*h@?EOpr;35!J3
z;I`BbRG>o5=aS|obv`_(n)K&ngaqDtzA&_Wp8}cZiiK~#<j1Igj_3P1oD3_c`Rck;
zKz92i%{@mDcQkreQyZkQNq>8-*RnR$>hdjFWeQ>Mv0Y`}#j<FTEGfZyrVZrIWOovB
z_Kzpy$-&j~s9QnaIG3sor@RaXAF7IDT<Ljj=8Pgz4HW4!k=oGOw2ge}BN0ERyc)U?
zsDi`scPdoFv>~#l$7u6P2{cMjbsmXV!!iMC>%d8E2$8sKq1P&j_l=sVn<v!qX;H~_
zMvXRnA*ydvI4q5ClCB>r4%ftvE=EqN6a_9O`@Z2`D~oII7M*S+Y2mn8x<cMX3b0ry
zH;#fl_8pOIYJIJZf-5N8KOL!%yIETGnXe+Mu0Qem{Z)=X5(0aHMgx1>MyA(wWvrC@
zbn#fC4vvNA<+7c1;H}WpSMhvmxS8btqVA9$N@)wc;kmC1>-Pw_-*Z*RznMDD5wQmN
zFtXa{*;aihw>fdmwon6gb8lPj<@jC8Vkgh~ZHDk-xQ*H=PR5<@mNOZ~4D|HWRFUYX
zL+aJ2LkkI7XmoHb)lSI>1Nxl4eYG-z>U#khUzW6S<ciyA+wVqrVJ5aYz0nwEX@(5H
zLsWD<G!T(=#TfTCggqZUVG74D|F+HfLBnjHh+}bzCRi2pG*>a$95xaE?O4A-7ghEi
z-sQX91UI+$bsKYh^P!Q&hUv?Cn6F+~BN1SNw?yJRa<i;qqt~c9;i*1`(Nw=*kut%<
zYknTleZk4+SXHHx5(9*{_PVZ-#>g1FmX`gU2~IuV8Z!M1(JU!2RO+Y^u1uR(W-bA=
z2)(}F^wJP-WhH2AGGky+P>#^QA1qkueCbZ<h#`)cf7CYLV2E2bac!(*+rye;b1AQj
z4KaPKf+*#cF0S43wySry1E}7*Y3;3Sh(dji`&Q0U@QT}=_iINTAWKTV@PM5G>YVK}
z;o>KwkG^}~M<Yk5n6`d8Af=C!v}1piRn)MfW1~dy21gjSn|>2itcy3+Bt(`q%3=17
z!`0EN9ARO$FpXbW2cIw*ZCqbS=<)SUX0og!2%1&rk2p}Vk<h(e?u-D=&3Z04y>fuG
z;D%#90oo{*sZQ^HKgXuD#WX(-bb#yf2X4_K$yj49duC7b06T!%Eu8n=9*)%}UTcik
zz+0Yvv)MU4Oj7fw`p+TuVEJ`J8h?%&-pRJ!J!JWtd2K}p{nTd`h)pN1dv;hE>&T*p
zjw<s^t2Vw~A3qjk+vYNQf6L>JME@z?9xf=FYI<k&0U)0EBuYI`22D@6C|ok&1wqBH
zUNRd2_Fpo)qnjX!A!)%UW1bLz7wU-a1x&Dr=9l|*i->L(*5v78KHwjbudpby0}t-*
zf@nbzOt~fq<{JF)QKhdkvfdU-{)me*K>&4zw}o)A_~A8G_B!u~4P>6_wtG3jgNYsd
z9)0Tk5I0kooFQxj4_F;Plf{?V@8XY&XZP?y$vsKpRa<MQ9_MD+OU|+>Nw@jxj_|<|
z*L&&-F;;N=<OEf?{U_VOG2xw$3?E!qKG%Qqi6yk3In3%g{+WG7n)Jcr0Re(<?0px=
zZwY_q@<pW-yV<kbbiJtF1ZYh-=x)N{@}T3BsZ~Bt*`Kq<@>Y=uu+{R^`K&T?=nd7K
z3Q~H`yy5aQ;QRnD-0e&|t0Zm?Q{_o8+1AN?f9k-~tBt&{S@q?e-H~Qcv@<x|_2Uq8
zWA+fY+8bU7R{5K&$KkS_iM+N=<rp*J{KE-}NnUV0I3h}QF@>8i|3(bRerIacr8mto
z2vEW`p-n*(keJ$XtVHM+GbNeKSsw_Xjuba;OA|23Q^}tS_`_`P{^ZM0;)CvAwz4@D
z#xQv4g~^I*(@ciq$+Ph<_`v^6`<_k<WB4Bc0RR6Cmv=PQZy3hyy*IDDy|&kuzV~aC
zJsXIUj0#aAnMs2bmCTU*kR+iZMej{gY1o^R63Hk^N$Tg{=RD^*_jB%ZUDxL_Zysp!
zeg2b3gVBnG%PepJ>^W*^dT`7%ZK!#Am6((kXS;No6_S6IJIdMXf#tcAgIk#Y5U%TW
zlQ)alK(lC4TYFR&0`^}%Q>glvFlp}3uYSi47o_s8PlxHkkMU-^SPeRGXphx(wc~`<
zi~@N-c3se7KhBryL=QuD1zXQdaKVpjn*ZSq9f)3hnY0|w08uLDV=1LPaOu@(wT`_G
zBy7uZe%j0ka$Z88Lml|w@b01K!_(T3(;9fth@TlYuUTX$`tn2CyNe0&R@$KPeta=B
zmIXegN|G1T1>jKd;V}B!T3{AsHGbhAE9k}CV2KzJgw5Pn6R7f9z%3Q*(pt<8N5_?$
z4_OJrZ+@jsTgo&+;N1g0@Z*G3uCesGHzM%<#qR)nBTX=&W-@Qx$_-+L_Zx&`#URCX
zS^e3t23%hzDapC>g1yJ9=^%Rv$iMHcd?Z~1LZbu}GTQh+o~Lrwhbjp(!PH^rof_a~
zO5)zK!VgouN8F-!O9St3T4IBt2K4uzzqbtpA^A>5&^K3EP|#|w_SV(_zjf9o+fpG&
zxqZe<DOC={dJoC%w9<gF)gbk31rgw<8@b%yCl4{KKWbEuYk>PynoAr_6e=e7*PhW=
z1b$ruUhLL@x3$ultI^_6*K|ur`i2sGI5_VW<)#T;l{OKTE+o)QH0!%ZR)Ny}eeBG1
zTHwMJ&QP&M3ML+(Jm%k|3hzz~{tbVp1sP1*e!IP7AV>1)5RV5LQWBprO#jdZez8SG
zt*5f^->Ygx#b4?$t7cMbQK|zcuR5sl%*sK<Ex)DUEKN{qVmDwtqzhh$N#8$;D}bNv
zQ>I~MZBTR%69O+i2-y};%HXC5N%D-OMi(8hJC``Q^&kaaao+jWpRNRf*YAJV`lADh
zyJ`eZ7wH3)R&{RRr80D#N~_99*M+evv24B-17NP+_2)RFDtyscO5mW=gXK#mB3_4#
zKw7VT*hE_m3XeY?yl$fhCn^d~_A{8kU*CNBnyqB0Vd#GTz*i3rC)JL%RGC79W60@F
zD|J{Q4$QPt_26@A)evdlCQ!R5_SHmM1NeE{I#{Q5q4cWtmNyccAyeuz@4c5AaFZ+*
zyw^z=xPPV>Xgni;>(K|gJJy;od3e^jKUxQb7HtB(Zv(s+Tqz$ttqCZ0o#S=C794-*
zIWOQ(g<oS&4%MI4gf~~(-f?(pfc=+EVomfG5F#)s^~**RBti|U6)&m57j|3K^GOy^
z@1HC;@<Ib7YE-WL&QXSUq8Yv0CM=-%>9Z1fZViZy_cPd<ssPOy`hqBF2_jF9MgI_0
z2QyRU{ge~3py|--;A&(E`NgfZ;osEYq51qDJ2DBH^X49E>si7z*Q>`AN>qW1<yg4U
z17TS0JeKy1&k`2%XOoUlR6yUL-!kSIAH1BS_uoEf0am~N-CD0!g7qL7ne;w3;A_5r
zC;XfRJo$OxlZdn;_)$Bw>0IeSO0`+BOv?g#zi+kQo+=OfZ`SU%WnLjpjno}bdQOEG
zNs}boU$S7C^hl!rz%)^N{v&<97Zt8e<ir(EO2hYt1Wz*KD}tWs)HaUK07F|VcJeHf
zfQRf~6;jwvb9P&c8i@orsqj0eSWO%>?v39pl6p%sw=1_CWB{;ARSg(O6M;}JPRf(}
zQ?!)6e%ma00;;RV{MDs|;27&C_DSJcT9<aWm$KDncx5jix9=T4Xtc0BvMidT@hR*O
zJQi#Y4UBEFwPn0exO8LCsdk=r_>9#)nY>NFu^Pd4Zk`iDd2eJfmCn<=RbH0)yf%Y|
zD4*@TnQV|JCP}k+JV)cGQQk#iGXu@u(Z$D?m?8YysM9sGFSO@AOypQwQ@A#}d~?%B
z26)S#{XN&=GmVQupKbM`2?U$jMU|hTgJ+D!N^_#qG?#s1c>!;YVIWNHS<UbtBH@y2
z-rS>)v<soT-$d#fgH^4btd-^}@fEDhJDn$KJ!aOA-lZCW{qb|FZ-4$EcFuhbseAE`
z7HQ+O&u7{Y29Mm{{zh||Sc>LbALALNT{u0iP;F}n#{0}G|33Lj>`mhB`ja?7EAz3{
z%c(Jdm)_oYw0-9Zf$s)Mg(^L?mcEFyA4mq!QERV2>i$f;dR?DaB=U+D<~4b2Uz$FM
z7BI#+zW78$t=u}5=GjI&G9#ie_m={a?hNB=#vh4?bvxhjs6V9TkU#YAh@!xlrg;1+
z|0HpJYiY;;&rRBwCq>~WzUe_QUy;O(trG;~jtd=Gb0fGVDo1R>^<Z_jUhq-jI8i6I
zw?VD5f^e?7arW}kMt)gorBs@Y5;+?GEoe<Q5GJCPycW^A@S4}}vzW&)aflA0)sMCi
z(~ftC&FOW4^rhR~^Wz}#xUOD*wym9b9`b%5^nwn&p%dkr>>VI%QYO+<e!L{~-Ax=G
zN$NmGU5O$|a)3zKOF8@XTo-X;=B=yTZfz*rjJ7)W`U$u6O@#{*y~Nb^;5T(CT2Osq
z%I?#Zeqwu)`FKNJKd~Nr=L=(_CMbG@G#`D?PgMI^|8n#iBCOsfxGgSdKz_&i^gf9J
z;^J_!ew+9xp%R-F;7Z=eo%9b(VGRQWU6v$^<LWrk*5Yl(7OW0G*p|BwUKk{}GtIA+
zotPlbT<y8OTtfzxHSX;?SBD6(#4>4$)FhD?t*Y^3O$|tL)pcnT!^D}@w?171ABcez
z1G}&GYH+5>aZzjcC~;LW{g-jw6!FU1^I%7@D)7F%9#J7YPIxf9J{Ep&nh^ZEpd9>L
z1x$A5YWlFhBO2<Dig!<bCfM$;pJ?(>fqVA+B9=uH#BPV~29o6*QJWe>zV%2MoJwxL
z${l`BIC{;!PZ?bxQd-VVDk~^MXWH2W1(Oeins;tt=<rvfQf6gFK0^t17Tb6~qkSZ#
z)W(ZU_Ae10OZ;is{}e$id(iW3_$MMfJY}<<^ml@vnZGCgs3MSerbrSlGX&%PB+K@H
zKZwNp*F8q&6=46}rIXfvvjnBP;&DI!FXG3G=Pvhx6(I8Hp^mXzbHtvypXM~r-$bA5
z<u=lSJZ#^qu`^9?k<j)X`y4v{hY0FPk|syWL)_U4e)#*9DByEFyZ^s`#9_BMb|(6b
z^MgKLTvC>ZUdP<Ba8G*Z6|{UbdPxpyx@%jU&At<#c#o@pU}uB|l`LFVkpm|;^SC6^
z3SrpE;do%03Em%R3oLme3)RG-ttFbjh`Dp;ws)?ufN>)0$L#^KP<hr^>TA?*f+fM>
zxQ97ARJ4l+=5foyn2OO;gY`eevrXGb?Z^q8>&d}}F*0Due2jgd{U1?GbII~K%LDUT
zeRlglOGBu}icfGTJwO|+{l`l_aA?@e|Nfvfm^cQ-N6IpSH0{Kb_i+NSONI5j0lhSw
zKR)`cnT{Er+FhFW_7Vbje%-^D??}PI(Gr_M0ajS}y}jq$ei4|=UF#b-E(N|4k<)d%
z*x`$&M8%_9Vj%fVjlaoX3OGvk-7cEo1ir}C#+|ApP|(b9S&x(gk^I3=<~Ml2p&&vA
zC#679$H4FGJt?s0Blk9s@WJPf{tFkwWZ`36+r`_e(s0e^?0RF005Dx-dYQ{754K&6
zxqf3Cb54HntMC<q+-EWZ^Zg27%w@<GF)9N++cG)R0z_c0RpaVzRDuT~?=;`$$%0wv
z_X`^NVxV--x8_x+3Q#Ouc2&j5f%@Ofck^^47`odSMPnd?Mf?1eXP!J{`I&7=zA6Pp
zkGdXz-mU@HZZ0I5(J2Bq!_pNe16erB;Ounii57&jwB+PJRDznDCpnty<-qnA=~Vdj
z4bCYV-@L0&1$3=#JZfAN;A)-Q$(#?mkatbDe2*s?u1pj)C($WEwVkd{nG6Lcm6}$s
zY}16dt~(-UTa@9*>%znsJADYEqz5_#=|H=M+n=g*RWOJ>H|)8?02ma<41NXZ!O7U&
z{<gcxfa+{NWGRL)JC@=WUZxLxiTW&Wlr*4`>DiX0H-^CRyC@+|)(B*-9&H^N)CAH}
zv{ksM5fu6{2e!O2fgN*BY>WQd&}pRpAal(SK0G`|iQ34!|3>C6aqiZEA7rUf`a_1$
zIU?q`7Dhnfv94mePdae>)$8iZK?Wei7N%?`L51!PqlbnTx*$`zu>I6$3bfhhs=NDJ
zKyAnGvopcEpc>%5qxr8clmxmfuAH$1DM`-lQM+|PTX!Zx^O!c=XmXPkjkMa}PxCHD
zF<oH0UZJvdj0|G89=`BYvWD5qP44Y^I#3(#xUmH#P-pvT>zHW`UT*D;?>n_2=C^J1
zB|cf`$$5UOg=P&|1GNiD0$T8~M}fq-MFfbo$pF(DYdE`KVmg&e1D5k=&hcL60KL|v
z$l6eAFiWpBrSDb)d8&<i)0H2@g?QF;ER5E`v@?%YD?$ZkLSEc(y3$9pbIn>l9%}_e
zDr<`tvl66jx-olzVU5;%&&%cbdrMH&YlO9Id2spsY44m83+7H;I52K*2^FswJbE`K
z&pX|-{mf%7Oyl8D%g(WY@hS&R(hvz28#<>xcktoPR7a<(Whz_|c8T{nDGJ;rFSu6X
z1aN!b?L)`6Qz4-`an<*zAgn8~=Dx@m#M@>ab*qm7s$PzJCI|6?gAzGXV~Y@~nArQu
z>jIbs)*Mkf%?6(gSZ@aw2w~|F57xaN1nkQ^%WDq|VCC1H#8)qb89j4(y?Zu;=l3fg
zmXueCU1vRaxZV&#cAJ$m1;@-m+p1%S%J4iPOD(zVaY6_m4JU|47j1&0r8iCFmj{Ti
zZ(oq+9fh#qPxv<8UNg{7@nF8R_Jmfo*Xq@}xDXy`=PMTxGJ}$g)te{q1C9Ev#z19G
z5ShCdtM>SsLQy^Q%D?!pwE7T!f3*%l>@hvhKUr@A7g{ziUJqZP$%#f7I6M%<12<2m
zKNc~854TIX3_I6os-&)Ob&Z19{&ysFbD}Yb#N74i+)0O1&KEk0y9BXf2U)0l(Fm*t
zvs!gC8E~Cf%)I8WAP&t4RI%+h0?uDgcRT*agzgc49sgMgVe!k>>)9K;bdktVSh~o9
z<9auJ-AaXUhvocEn++X=m(E%l`?F#4t4u9zDPioRt8-@hV*nv4>qBQ1Ij|}sN9x-h
zVGNg+AAfey0GbbXbN@HQiKG_Ml|gS2>`v_pEz>Xno8^cHwP(2T?)`-pennB-Y7^-7
zq*EV?uPB0}J}=T&i-jPw7!E~0*54JQ4<a8kxwb^`;dPcL>1*`jc&7AhVxxvWWXClM
zvbgeN3FX;?H)0Z4*=g5kK23q4e6h#z1_GEfY_m<@j)WFUGuOQ;DIg}Wa6Cg^5C>QJ
zH*;r8;_(T~qU;SG^RUcO__DF5Kj&uIg#Sok(5-{w=N%}J6L#|o&&EH~-EgEQRt9OO
zBAY&IP++R%Myi#j2rf>a475Bai<dLYosNi6;Fmd5?R9%mY|6Yck?JRhuA9#?|KX)T
z_2%Wqf6-!i>c8@#C2M(<-x5L}CPabV@|Li2UmPnh*LWPHC?Nfl&E>7i6j&1(j_+n5
zVfMSQ3n$eSQTY5w#OhWG{CTj}bY_nvMh%U=_fu9vr?tx~62~cUb6a0Y`AaFhHOD+q
zucC~P{OtVHA5oy?^p?wxTV$|r>`HMVSp_RYzJ|#1>O<>bq%(VvEILgO3KyuWB44%#
zcW<OV41ZLdiP4e65o^ommzCAfd5_QZ{GvYatO*3E{FTG*u3cRZMaW2Lei<?pZvbZ`
zlOOJWBaf$O<NQ@CWIRykFMdtN5bXVVWO%PB;JOeuS2(Jpt&COOaGxP~7W)RYhALuL
zM~+fys0N0K+X`MPFoI9wZQ0k1l+c@PbNlU|8rYmr`BFL381DPAxg1$l!dEK4ZRtHU
zkv16~PxUqdrZd@`jdzssNjGa>Oo}GX6Mk_mPNs0?eVX~B9V(b?IpF*>Srb|9tai58
zm_ZiXw)7jbD##Y>+WOpD6XkoNv&*bE!9`B>%Elm7ynRG!PWY7u_Q`pDGzW8N`hHG0
zutOCKjYo$pL^P0<t9I?D-ewrQXXKm8tA<4toFsK+b?mntwUiel;Dh^L@f>|MZ1+j;
zV5K9YW|W(w$t(df=<CpCq=s^mLYg}(Rk4_EI9AdPK(lyUQB6z@$u7CGmo!zd`m3(h
z_hJC|i}LIP{i>+In>JFHsf7Otem}%D0q~=ZJAU}ED)zM-c^6JApn$0P{XiZn&|VbI
z7%ZruU3?KWLSG&keX?82)TwaYC_?_ZqY6fB5(t?;C5!omL?x>+6}SpXJLIk?qx!tS
zz@?{BXnEya**1MDw4F+l^?0g;OkL+Zs;VR~e>#TusT>t}-Ou{=Pbp&S^^>vtUWuaa
z3;KPN^i;42{iY}PTLHPu>w}%Ogz@R+PSKzNfQ$e9e%@tKK#^$wnwTL0%-emkM)o>D
zyqE{P;g!eJ&)$^RzUD&)-CaHd`vA6j9X;qNE{A-@5{y4cJa{R=Jb5D~U?DR*wp&>i
zP0ffhD=kipeyRU0<qiS0S8lC_MM>k|tPev49c*Yd;LBMrO29)F$7-oMNesE)z{xqy
zf;{m*ju5e%K|Ug{;w}>j!%cj@x<oUhI>9l*KV}ZAbKj5K9Tvyn<TtOYjxgbL9D6>R
znFFKAPi5KPqWFGp)5)j~M%){0-kx!F6Wr{0CR<x9g8VCK5t&CBadf;jC-ILN5PG_C
zy#d15&q9OtKt`+&i(cQk#|&a(8Lsx&3Lz)&r%e+%jMy>PcJgkUDRBGUSWa~i#O7=L
z-$wp1;<C;o5q3>eh+NU-P6!o1Ma)Qem&1hkOd|1Kt_cX3k4rD#;z#aX^&i2D8Gnln
zhOe`lKwz#78$ByOnzr{ug<7!SQyy}FRID+)H4ivn8qbHWaaSIUIIv<&Ub36jk`V}6
zCcS;l!-sE{f(;g;*s!$y;<18IBbcG=bRRy#i_G%3<fb08V~MmykmI}|T-d&RdHEL)
zzUMp5)}+9R9!n)j35N}#aP;xV_1ipnTw%psw2TWmytdML{x$$7$QLlV$b-c;EHavw
zJh*<rp@BWc0P@;mI!Q%5czNw~OwC_jT;3y7-YQ`LwQmGdJO+61j0GLXo;f~zJUbrR
zRHqM04X)!8M!e{CRfIm^Ge7Rs-1XSVMIXM9M8&6Dcu`zhS$*qI0ql=YX-`<D08js|
z`2`a`)LETc{UaiTzPq$*KNW2FypF!`qjEl^j%S|BuocF6cA#``_&Kjy+h0c&eiS2|
z0{JeAV33oAW;G)P-YA%qJb1*9B7?%-8DB(E%yhTUdW#-Zv})W|@E1Ul%Sz0=KH`{U
zTq5C;q6cB#VtZc73Zj3Ga?G(Q31pZhxa@c8LEHWJ2Y-JPM7iw44QEbE;;%H0=Qp(V
z;Nh3%dd49kJT}&>_Sjq+6H}E;4F&Xo(+N6Edxeqt+3F!>R#_a}rBpTkPZxX^pVZBM
z5Wy?Y`R8NSWYIytkW#p+3&t-E<m@@b@XZTR+2d<+IQ&qYNTbt(wF~me5nIGjda?X;
z(1!ll`4pylh4moo-rTr-t_1ct2U;nR6mhTgV)A`cJs1h0qsIOtVMQ*J0H?7MdaO68
z$A;^H<}QQB?y*wHc(nb)jF&QY{EFRl^no7udigRmame6GmQeiY2^HiR*Uz32q(F#U
zZv^KKSu`h`CQ-{(QD!2gh3ymt+$)NPuV~5PbY#h{igq;&XHU)?X4l_%=QMv3w>%Dh
z_2h3IBV(O&1s|zgAFeTeU0?VrkG)4PJ`b2wM?JqsEo4svh|`*-qzx$G$CuQ-*Sa+D
z0`n`^NqIx~bJ~_O^^qb<$0?TgT+>9sPEPfs3`Sti+V!TmKnWKVpUSOl)xtL;wtY4$
zMsV-a!m?15GHR<d7|);<wm5SxPOKS2%?zC(TB;!Tlc4Ok4BCiIQ?<xz3hmZDVp{a7
zIA=JoH^-ul^@G;72Q|&WRN#Hy<D05jv_t1a)-x^aGIDbZaoz-#PlKQK8LMH{dZcpz
zRSO4GYduoJ%%Nmk`!=3RHRO5C-V+|7iQ*q_HZGmn3}wRWzfY{H;cRXKSHm6+4D9r*
zy_vq@V>R;oe<_f$=`=@xEvGuZ=8Vr=AOL#GQ#iF%$Y?6K*G4Bn4O8u;BDE?3(ue1E
ztkIJ<@-lUZ^@$2@u|92if{_Z>x@hzv_telNwz_)PCnaQgC4%d=RJd{A-RVw34L6w@
zC-nYMK(Tny<kYy0{$eS7rfg$>x0vHi?f%K3aOlH;!F($0JSUnSJEwwlOO3X3ys{|$
zN{8ZCMuqQ`Fo{NC6-@mU7%(3wi7BNu6xTv3y!@71;Jd*eQ5Q9SxKE2=Wxb`n+bJpt
z-8i`Na)Vcne|hb)yupVe<EIZF@}@#jj&;RBaYg(t;3>7(A%K_obd=w!P~m(9ZTJk6
z0+vfj!bfvHJVciiIXSaY=e;VsgyuK$Lb-nXdm%2Y6bVZ$+sGHX{6lr=gR=Pi?ZK8V
zA2zIE-YKTI4ZwqLvY|0U24y~yDaKCB_{Lv1ONIepD%+_e^Q08!Ocik$jWD3l>JXQX
z7XhXg;rjF!NT}JGPJX^jhpPc!XgO7z;r;=?YYKP8(S56fXQ${t+I{6nz36pwn2rj6
z{qLtJF6h4Y`k}l|W7#!(KfuWxCjNB&yXqr?nR<m&KYp&!f}h0<WEXD&;laC3@>4=6
zrDM809JWSNbpCYv`*$<gE2+APDMJv8>Ic%@qSk2tl&PL%2Q%>24vm-EC4lCavxk^g
z)@bQlB45;%n?mcY(40OSessB;E`ELN56$-^&y|l%rm)UDeb{&>AHIA1c}t(fUz(vo
zNc~!%38<>nkLz>rV$ap-3$msEXvr?+p>nT{VXAQEsci{2-boerb8nzSx}5uaju;t3
zbh#PJSOgcIGN|S|+DMPz^hA6Z%Z=a^m5+`$juTx!IK61?XTa6QEQTpDBM`10GZT5h
zfng<W$|pFOu(&xXUiqRS?4z5tuvGv|K(oK%z~yIZe;)5(Mlm0TszFY}4Z@Nc(Q9Ex
zoBGHJn};l@svyz9aozxGtiL)Hq_U&Y`u)Vy25i`n@U*9&&j3o9^JB8&*wLVo`H}w%
zcKolg_MUsbKA3$@;)%&+$86pHQ2S$?$j)OKQKqU7Vg@Z0-$&W;NWn@f1C<+BKd5e9
z-r!+%rY{n7TR0H!^vG1G@?zPJ(AS~cC~#h#W;ET;fydLjXIygm&|q_#i}R8m@NQNQ
zvP|Pdm%JdJ=ePNhOy{RRo}~xB!$-)!1Gq3N_{NOvfB+^mW~3b;^uR<rr@|zV8~eH}
z<9h{!(3D6X*|w+)as78qkDlkjkGg`Cy&Jqx@l}C?uUr=#wm5wA8s<gscUhqhog(ON
zIFTaluM2)kSs`CG^2_C9YYdN@7?u@JUJ)bf!iuBNz7vuBn9J3_iE~jLTfY{T-u|Tn
zN^$Z3ae4~i=h~+;NjFHi=wmrr-lYSlp4Y0FxC!D8!!@~>I4R`rI}q}@P6u{BaAtY9
zR|uCIGwxI!l0oaz#J1>S9eB7<En}7<j2zyyBnnLy*X1TmqVsj2CNHtZvt0z|-2#H|
z^~>S=@;}S!B|7kT%se1VQVgj(NX0(C<&pViMgFe`8~5*&oF&r4v8iw>8Z<Waef%=9
zcR~kt6d(T-C_utbnN9EC9Z*8!`hqS730-Jss?fw*Nt84`X)I8yjAw6KZayER3x`>L
zUO2a38cF$r*6;sr_zmf^UtNbTsGc7Qc_6W&cRpUugU)IgL)URb+FB3fNjg0gPC3-z
z3)H3+l5vjCKWyia9(eWTKe1wx$1fo{gWVt0G3jvPsq3dHkh-MXu*#@_Y++Be10^&u
z=SRHth@(F6ncaKW&8mp)U&DThn`j|N<wJgZT?6po`YBe!rG!SJR~=6oYU3Nll-gt3
zhVbMtt)Q1j8G|0Se=%j!!QHXVtY5YmfynKs?ZfOU7+ZX&K-*0Rx4Q=$vu^YnPp!Q#
zp8rz8gXuK&uZcRySX$#Sao+@%oxNSP2UIcr-Av!(6dk0lM75|fnL+a4beMgC8qyZS
z>K^RZ!K=xak?`CEqwgFtY^=$c_vp)ng_I6vOV)Y2-!_LxgC3LAmt>?aDZLrD)5iYE
zfSl%^o8gS`RqC3WI?5k-;dOyY3&-LUN*{>=RP1{H@Q}AUIxP{N?>Bmx;*-5`17!do
z>hC@Nv_~C3S>-&TULxbaztIP^<*ATbvDa!uPaUfR^In(6sp5VADpFi36`FSV2YL6C
zG1=(TLLn&Q;MJ;Y{=-yId?BK(Y)i&1mqYrL78TIjj4rr>&jOMQLYEUSso}uv(J<?L
zIZRH7yQQpc0S;@wmbvb#;@5JW)zUI)4Dmz34g(AL)7o|`@vaK~4*&rF{}h*ZIMweP
z$L-m%WoGYn&apZ8+zv&QGNNH+BxPh&Uy_g{BPm5zAtFg6rQ-7_6bUJ1q|nLUdn7-<
zzn*`d>w50@^<3BedcVNyrhKc7D2gv?<#bV?LRggq0q!awZ2hJ8L5rP8sj4c)hLH-?
z#lmvJX?Y}4vSzw?j}O^1=Ijk>H-)L5Vugo9IkYlzwt&{ih0b!*N@|l$q3&=%?!_q?
z#Du5OODeOY9l<=2yG%`?Uy(yG?2$B@x=<w|c#;WKoNF#Hp9C<6%SYNzOCg8SE6qV+
zbf_+LwmLl(fI%iV{QGGM<kFgZHa~kEPq0~wk<<c+8&eHy7Zyilz0!e?ikI;7Ywx28
zg%~s>6st<mL{Md?K~MYi9DbzwpRdV~2^6U0PxgKmLS7{@|6NR)#+xsxz4<0-0$=P}
z)f;Gn=yCmTG6(krZlUGy+QH2jj^+gH^Oq1nlewaCV`5|Ysb0df4|zuLpU-ktz$HF3
zF;W$}aAp)Azg}{5a)bh>TItkov+|+=wn$#KucP=E3u>&MCIvprs*uF}xRIi8Ho=^K
z9N)K=5jz)U2*T#(|0MVcC_c<9=snXUelqxiIrh~6LM+Q<m+3f>cz><5Zrn7kG&^LZ
zp=JQT&M}c!$?Qn)H!q2;ZWiYVv-$8QULPC=FLgjZE8@LfcQ4}PJl>(LMI9K^1J5Gc
z^F8}nklTN}Y8MR`@k3hpscQ%H!2NJqdk={j?Kv56%12`v@37Gbdsw3j4>M$kqb!(E
zYOVr%F0A6w>ECr#lysqCkYCmEIwShP7o2MxxQ@3{z>hIY2NXYuTh7rlB3B-sir$*P
z_>5(Dk0PHAoKWI^lX8y%k-Z+U@0H%d>6|Z*rX*_vx7-EZ6fXueVUW7?{0kj&JI$h{
zPtb;(lBUzuHVjDQd6D^5#qIOOH#(VAEubZ=a;P{npoG8mi-XCGs6@x1!CpiQ_SanA
zcRG;)edb)fKg`CAtm6AidI~k+V>ENRQy&9*<g7Qtki~)+{%}y6bTuJaB`{vWnh}w|
zpvJL1Z0OKFuLD}GWH77=De>uLL}~hTrpeqKC{*ra9rXkmZn2Af+lpsGZOxS5BCDJz
zMB>0_NoF!gbUzPMaAHP=1%g5Ij9h3`i9M38gaj^Hk4imuv!JM(6?2Egc#uPRF`uFx
z38s!JsKh(4B7K1yo=jG}NS*7n2#t;e8z-eCtFEx2wYtAWYbkt4*Pmf0`7{xBID{wc
z?PW(^bCY)sXZVq>wabGugBlQKw=6tm&xumMpQn8D6-4`*%d9fJHQ>n&8PTZ49q4^u
z==XklAtcguBVb`w9R$cN8lrVv$c(<!>S&EH`oW!Wemz?qZfM=Q6Lo|KU72)_GrlQ`
znx}622H2~El}3Yg`zc;@tyah3z;$sn(J)7Ilu(DQS1+dZ)A-Q4{>Rz^<q`;*D@=CK
zsl&IzJ(R6){OEzB&ed<>QpluWN*~)$gE)H+*Q45kh~C>)!Kp$T<$X$fu*IhiT#5-&
zr^<GsZnFci%j+^|Lq%@{S*e5Q{c2HJGhsyZs*93xl0%7{zt@fysRI*i8R#vGpaS!!
zdvY4&(RiiD2D6F=*vZuXSZxwR+)i6YCrlNQ?1>A%_xEZ5&&%)yz301-?9BeOvn@*K
z*O;U2#%m(n%c|@WMv{ni4@liSrh+18Q<s)~Nzg-)zA!&8h1`iM`JywbXm7g`C77QK
ztM$2B6TC9$;gr$+u8Zm@EH~o6^dDq!a<mYiHIzj)OZ0m`{nJ2I)mjs>?=@lnbXqp$
zv>e(n8ASKBNXYLBtzY@87I-=)Qb_mYk>A1&Th}fUlI9fo+rX#;hAUHN_H-&B%9f@3
zV;3^|-RP<O-a!{;WIdiRZz&?TKwB5-Mlv#NxM$<tpa&y2e@+l2l~GX(k&()zi3$fg
z&d=;O0MU|<o4Tqh$mCJs5W9dTdbiXdS1@h}aZ@+On#EMnB|c@5)M+weQj<z4PBns5
zjgGCZQB}n8f&Cy#AtU{B&5l<3Ch%wV^rL$TYN!ttr)?~e&_YWSIj9o@C-2xr>2)>a
zF}-rXNQQ(GEF~=~N&t#}_|)DZt0Sv7zEREE8YucxdE^l%Q)uG0xV5CFj(S35Vm6vp
zQA7Nu)5A$qkP^&!=QOT{hQ{J=AQ5H66v^PN?@a|CXr^eMQbVMA&CE<A1=PmCuSu$-
z!jasW6UWL`5ymNd=*~V_bo_>Rz3(y=lA1>-eRV3xEBt|ppr;fnd@|M+%4G(R@ezZh
zd&=kzy%eEHT@00Fm4gSH89a^hXU;mJgoJWuN#7R*(H(wIO}`N;yuBeQxxA!+Yy-@h
z2ztEe<^Dvw#BwT(6iV*FFUlj5xU6dd2M4<9Ql7`TJ*S}}h45)j7L{>MytHUzK;7(v
z0>m9uXv_|y?g^Gb92T!mz6@N$dpfFnhl@=?DCc3&v1ut(eq()YW_TLkIU~hiWMT@B
zbBi2|MkUbN){IrbWIsOP`bu<P2LSz&(RUh;IGU7jhO--0_)co_3u$+N>II&A%B~{F
z#^=Gxv_lJ4Jt@%L^b3Qv<a|-LuAM02syIU|){D7m99=D<$G~BIcg|dx0Giz_=*kTq
z#MHO~Pvt6_fNb&mpwj((NTN*4zGeA0mUl%y>w}#!2-b$0Z64%7M5&m9Z1z8xyn_12
z50{PL=ViR(DhmOLB^@he`b)#CKgQWlyrRI-T8U1cCU(^Rfa+4hN5dS|-BV!I5T=vD
zrGkF2Am09~)%W9uuphd9Wfc@d@Dj+Wd}7Xo2xo(pBjN_I&?p``o+}1GJ8OH}YK<N_
z?2ja`1^mEFcdb@QebondcfM(+u`RsrOV7I;|L>SDMR7J?Ngr|*PVloI|BE+WvI+{<
z>BR09mh(8q=)w3oqhXB$Yq;~p;Q@vAX6(p(+Qi0yF1QmJcAY6+#!K5R<B$8-VInnx
zSB{$NLV(X}7Z;C3d}q;48*at|?6!k{ozY_*xMV`?Hw>A_NhmHSgsupWNX|PGEUW|S
z^^U!~owK-v^e!1WRve$T>?3u=YeS4=z{}vNY5bpxh_dP4W}Lp{?})~x7NEcXBAz~*
z#NRuI?oK@Y8As=skDNZM1^tr62@PZ8_#UOT@M*Dc_@DaQ554C!L1N2kuWalX{`lyz
zPu#V=cnYCnlrBgU96t<OzWHwy_e*J3D{}gU|FYwGC$mU~7cueo|J04(PAzJh@74$L
zvNi+hXW?YHJ?{2v_kj_d!mV-Q*+ClqQK5Dzi-`=D11eRuvLpB=7q`i=XTvx>{VGp$
zDhYIAscLq5Bly{iyH31S8pEwKJy?}wNRT|jN*0bA!37!(3@I-raHR3h=HNDuCVZ>k
zNE1eJo46fxp5D`VEq&QWXod!8M~sX5w~XR-W_tqob7t|~p+cPnAJrka^0MEzH)A+c
zzzg>i67#rxzjA03lRBI-zkY+0Hjd|Ped@jRY5_kJoYvA}rUt#-$1cafB)-dzKQi#_
z5+37+#TCS>LWc7@{opTCIDdF;-&Ok+JkLC#$?}T|4D>cmeafA|*VznRP99mqEqYFl
zy_8h};m-vjdE5WhXJ;hKmb8JtG_y%s3sZ*fi1QZWOLKVXPocW{*-iY-bXk+|Hzin9
zJ?B5BzksJ7tLrG=Lx)0oSBf?CmB6qzJM_Z+Mf`cGc7{L|J<3k@Ah_LEgm*zNx{J4a
z5;3n*WYvrj-3`oZ>Elv_*q^QrPls3VEXj99-0MupeD24wk;@9eQDh@v(z=G<sJ1LT
z-phh$v~hv%EqNffc{~pKy@6-$D-=99#)f7D1~<hn%fqh>u>u<DA0EnCFO{jviM}r6
zoHgc>2m3y~$KB3!D5)8hdlV7Sl6VO|nkNT=7s(rM>gmx;h34VAL>|Ora;s?GL=H0L
zOD^hJF(T^EnCQP{yvT@X<?cQ#3-mrt9*@?xdv@Ze?qyqkv~_fdcIK`uFxbpJc=v?`
zVUfRAqjw3S6LGZBheu>Vg5Bc$#UE^Fk6U5s89^bGJ?U87t0W6C$zI{&!kmazJTB#j
zkqFu}%YR_PE(<>m4z{Z#5|DpYmxz737^3`KcMso`0iMfJE_%Cokg-dOo0*aXn(r~D
zf5|2b=88Kq{crQ4`6E1;zF|^mjzc-1Mne|%Nt7wSA@QSxd%dQef29$Ie=wQ~k%jNl
zf&bl~6F_@wt^LjJ$)a*UKf25Pve2fYr5@J16Q!6v+Q)WW9?4{9eTxW^gDk15%HC7L
zXyd`T+~n<^plHGR<&~~H@MezQ5>gXGZmeO>+?X=5`Iqavp{)RW1_z(zrtd<FgB)M9
z9aT|Vau=Z`R1rkjyWbOprI1lc%h#-EbtLB+%VWQ#1O?)+PHTrtBevMZQO6o0`l|Kt
zF7Hnj&?cUV?4FfDHr{Q8T5BZKv97~pEvgPUL&W#+Fgeud@8u}Xt%+L6L%*!v5aE;c
zXB!J11(YtF+ifDKg}z^NTvqWW!@TggRadzp(%_0za--8m6<Z~GC9+zuGt6$!{6S?D
zcAheO<DE9jpI%D4yS=YUI~WUM##K<F+_(4n2X)Z9Q!k<(V0s|XvnduIq=uO0{(H@N
zR|lO8_^If6!vKo6a)_=y>ZnZeX}fWX4w_<P<7(QZKpyWOV?zNVy7S=6-h)ayD4IL>
zgXuXF*x=C0UuP#Fok4x=b{B2LpFJHY8w_yfpIdLD_jb;ra#k0j7Sii1qm87Sf_!z@
zKGt*+LNUxnsDO+-?AC&I-=~6!%{2p3CJB{NHmm-n5|Kx*J2HwggWUAPLf`#J$RRj8
zs_KL)iYTLOni9>S^4W7+MQ#$hHhMwDe^~*UuGs!DEH;O}*{U#4Rw9aLvGGNrGH9?M
z<@3szImDLDh#${YNAC_#p&B`H6y@;3lxM{pw%%WlmYP*Xkzq-eF|+(==*dH0?Jjfh
zRaH)U$f<&|Gp?{8K6do^oY;zdk~s`r>o4x7Q$pZX`9s2X6|YF{znv~;4v}&xtIogV
zQHEv%R~KCa?#nrUT=k(DFpR5aMn9KD5!LU7!(U8ec4xSsKNB+py@4X9rW9$!kYvYT
z8@GuWr_vAA$8URdjr-@m+3h}Esh?P*$pj(C3T|ImFom9{y%xRGqG-x#qwbd;8wiT_
zsTaDL0^X?njzeAu#kn?l)p2uzw02KZYdb(hQdZ?gCO>M6uVU#~+yP&8uR6u<2B^$X
zx9D}?L00EYF6xMLL316QoY7?r_$a(*B#Jpuk9bG)$to^*9CakRDc%IorA@iVL}ny&
zH_3gN#s!nKd!3iFjKMWMSv`qDhaQIUIG=Chf*`Wpt$|lYz(!s(lfJfs?|o|F`6-bL
zI!&V96NV|!Ei~cZ#yW#z4P)zjHMwAS#!XduaSB)_8?JOc9Kem_UgouS5<qs<c@Ufp
zA!5_{hq!eeemF0@<$O2+cw$D|t`!=9;bN!w+(H|cE75G~sYQUj)e<MM6@B3Fxw9rO
zFoa1T-*VAsCP1l2$d1<s^<jO*C?L~w0+X}5l<{I|2kf-dzk8-a4`h`1Z6ZhKFbn14
zNhNjyJgDPvnG)86BU57XgZL7LEgqMvp%UQOadV?@ak?OP%W{95<r;=X44-d$K!6Ne
z%Nu{zb--G`%%MH?FIM@I`MU&}3)ro)gvUa4;Hl6)wWX3ROvLEXU-B3i80?oKqeX4V
zSUYIId4L{dzN;!3v~k1k%!!jn!?oda;I3=(wG1$j@5@?xh6mQUny*wdYlC3r@U4D1
zCg7A*RqEp91tH?TmBBk&U^U&`bS#k>4g_2=)c(i|t6Y39R@Jp&e&D97?-C2>zn9Am
z%;5tzqkXCJA2p%!fNMmA4;x(dl^DXV@q>$ZW_x~sCVX1D=>P5yJA4ee>lc_J0FVE*
zW3PoZfnh4FQ6rQSL@*-iekuqf5<gNtHj`na>G)jOP68;>Hmp6ScS3xd$ckAE8J?!+
zPmw#gz|@j_XT?$&1pAz1A5qB=_hfR=*^UQlB<n&h)r&w+?<wajPBJ7--_|X%=7kg1
zXsGS57zE1Q{Mgn{f?GGGzFs`U2bWTH7&5qbfrW7MN1<0F;L|vJ|4<M=aQpOJa~PI@
z(2@J%C-b)bT1-JS_PzjIs|`uG9Uuh{H{RBNP9s76p@>*xnjkdyUa}YolLoo-V!PvS
zlb}3`)i%Lc2;96HQcKfhV6rA?b>IOB?y}Il4a<Z<#hxm~Q6~%Tj|Zx38%U5*@^t8{
zmMAo>Gqja1%0bWvmQepC5~ML*7l{2V1_7JSv}|1ku<(>w?>8WWLy(>C=9OLW79Si}
zi&liar3^(!ZjoW9V8ki!gOZQ~`QD#8l;Ccgl4lyDCIpp~@nob+0X$G_o0C!j!nuWN
zl_X8LYgp*Hl_Cuzm^X3pv?}xzE;7VvXn{<otV&&q3`ot~<YO#VgJW8OXKE(2;GZS=
zNluz9<RZ&ziErw_-iPHmHE2VeAp7CgEIDYD=*v)}X~66i(mv`-9hfW8$^Vik5B?St
zZAu@B5YN-(a;`}ieB?d-Z|5rjZOwJr7)T&c(Zbj>sR!4yV_w?d-OlrrW#LT(33eS&
z*yL0)fV{IK<&9BFApdA#km(Ky;wX2FZ9@!Ud29K!k-ajUd%5-K#Z?k4L{j?VK2X50
z_fT**hYCcC@9Vr}LxQu?e~ZkdjA4sOfWJLY1%jh*TBFZI_{ZI(DjIA8gF8NJz2Q@Z
zmt)F%6U#K9?yAx-!*dMMHXnGdA6A9QmJc7ebkrfl<=O9rKmgGhO6}?yRp8xsR#PxY
z6<)jQ4@xfq1c_2RVz=*$Mifu(4^Rf~u7ZT)Crn{s+>L*WOBJBZUpm@I5w`w56CXjQ
z&}JufHu$y**dAH9<~Jn=ns>vqml&wPp<}l@aatJ;_hC7Kw`9P?sH}ZKl?sZ7Vl@IJ
zltJ4)Zd?bX-~hjHh^G-1#JuefhpH%nfYy+e2&*`}xOJ|jR)-3r-uooGgty<DOK#`r
z5`rHJd2L3bREU1ZcHUxE9*&*6N|@Q?hqN~z&Sh@<GWxDN_~3;c<V0n@#;@~$#QnDH
z_Ht85U!K#wb5<7a5GoAK#5tjz%%$18ooixu-q-<>3{;4v9SK}#28M>xvJ?SR__e$K
zs{51_P%m8M53Hbvj-JU!7heNhn&3!~^^}A<w??|XC;ws}L**#lE&w(4zR#-YcY)fE
zMH!=^Wh~3dF=u2QgN4kmb+6xu!pid(zgSD=G5#ln!W2CWI&{PzOlJr~NA2x<xe7Db
zUDIH}=@1jx4FA}8`|eKA_S*XKes&x)b9^FJU11DC&o%8|A^{L>%%^sHj$++Obyd>y
zMljY9dUGE)Kcs3N{_mH;2&VsZNS{O32%=xBo;rDj7jh<aw!UbOV3DVYDgQ1~pt(LT
zGf;*HQg7E?+>#i@CVbh6jxB~j5TbEJv=Cr9(9dD4Wel6~I`a&~459kd9xOA16PBt6
zswVg*vBZuArOq=3Ku<azP+ZCm1Iq*Px4WmY6E{WA@A#+>&SqT1_gk#cdGoya8vPu`
z%+}~KtgH{b4rvujH(0>^^>B@M{XF(+>TC4DWIcFkh^6ZsV}|Pk#wJSzi&&Mz+`9gf
zE^xT1?s#~V38c7mKI#-MW3BJn8j_Fe0>7WOUTz{I{P(2w%JsLa*mFNIZ<9_P@YyXx
zcs9-eY3I1Hwe@xEoyAoaV+$Rq;Bk#<4P}7f{69gBHk(+q#zVtPNE`UxUi_!1$N*8#
zA}@L2TbSiva{NDIZBUnx>~-0qhlG9^>wAjyFlyvB_!8FwY?zSdxj_$O;U%^2qZr`V
z<JO%OySMq$F?k?KgaI-vyp-gp7(s(DduXP8n-{kZ3&kI1fczS<O8P)%=qfy37wxJE
z7lS1+j~5IO%W*PxhK&`zW)JMVIJdnI{oWc~(qRNf<_MFwwQN8OyHc_lPX=YBVY$ps
zM&P{5HgW9+2mG1+y<bV53=d|U*6Ob_!Oa2N`RlPez<g)%L)9h{d}Ryz;dqJ}9vz+w
zv&rFtz~2Y%oBEL;R6K;pdV&QEi{4sO0(qb(w@s!(hy>(xkJQ!}R+v_<{yJO83r?-G
z*!@%@7$4YEFj~(B1{M{p9~Su_ZtHFXCmj(EUFi23l;eO5wmW6*E&_nf-Sf}7paGpf
zdB-BkIN^(}%7VmiK`7~U?+;<tfEc53jyEm@NdIO3wlz)&@`Y4Fr*qZeh54t7FM8Y%
zz?Svrx0MJ~U%63sf3G@xyFA0ecaI0IXqgl2$zs63`i|X;RUO)dyh`rW@Iq=_MB#VJ
zE*R%X-|yP11~<6W_0i-uzvp)D9y%=vFX&5g_C_^Gy2LxvWgq|&A?=S12Bkprdg3>u
z7B$GdnlHkeF9>ODaR*l<WngY*`YLHk4U*^mr;-$ez(gsUX+B66+AS-2V#(?-m_H?|
z`9T=IF0>p!@l6iytXt<AWvPQ|G91piDhhwsr55_F6=3yvd~KbE2Iwr`C)0V0L;Y{M
zK>7|vsBZP@ubb6?*H0#IZ@5W7=Zl{oz1@^Sg~FaIKTHHw=Z&QriWKY;`EBF4qyp3N
zHvIF~NYJi)Bfi{08tnfocfXgY25&d@%#LDY5WJK9c2AfL6qf#za2M48Zf{xR<AR#-
z@+nK9{zF+1tlgnIkxqnBVgr8;K?}lN5^O{I<Up?Mx8(6{9(kJW5B{m74L*;<{2BNZ
z;O{PpTR()zV7+o#b>M^!1Ur5&+S;uMq8kGXis@w75nL=b*Qg5w55p5Tf|P*6{#V7r
zc{2Q0-oHPOst?>5#oEis%CPU<tVp+vCUBM1IbZs201Q??*<RdI0m^(4J55Rx)b40n
zE=N${>Q`39!Eja33)_=$XoL&{Vcv``%EoZcuF~W*MGeyH`er``lOdofTWil}6DUsU
z+)?&P4G!#?>wff>1jNBz0i4<ZI*ldqBP!}}Q`;$Gu967JP49&RX94UVvD|OluMR~b
z^+dIBb%<1&Xn(xzQw<fxWJWD@$aVD%8=X{vG_h*wXgMl)cvu&m?oortqgr)i(n^r!
z%3t&MCKX1y+E$&ZYQRQ2w>qsU4~u7|WxfqiLC)W+J?a0vw9Mo=ZzuySaUVmj5zL@>
zm~rcqp9&<*xrXo;NWg{M*GH+MW-!+6zbB8P3~(c2s!B`*CPv#|rL&tsSA4(9qhUp`
z)~uXmq!)nar%zib{i4E<c<^!2^9tbmR`W`F7Z)`0|7KLZM}-VY%{94YIp8>DBFz1X
z1t=T+4$L-GpfS6J#QDj>!QS!<-v_ra8^6zy3p1wRcS<l#c}N<jc^F+3&n{v_8YihG
z-V|OLlH4X-q#%IQYd`2djM;c-On(+Lg;9RzzSWjpAiVimQkA0}+r0c<tfmw|;5r9W
z^|~m;OPSndBEH61EPqL*8v>Xrn9t$1!th5iBjbp|cRb~Uz|Eyw7+iAdQ?2+a2rbJy
z>V}L5aW&R#xy|P$K=CD1ABfxTrEjSsOW$bt!O68(wLgr()4W^Zn-4F9Qk!d28isL;
z(B>Ekc4LV2`Ta6%o(nFz3DhULkKioL&%S0-j3E5xfsM^zPGDe($lzTa##7IGJUAXo
zfyiX9po;x$5UiIa%iQ`0m-r~`AMkA3k1D^fu3uyZ$wy!Kr+8^N+p3F1_NoD#{Ve}D
z@gD<lx__mKEe+z4^R2^`W(I(4GD03T)4{AMvZN7z;Z#QA_n<U=xO7d;XRvY;v&~TB
z#Z-Fn(8fbHx5xE>w^%4<;lMg}ud{@;kiH8)IoeOxw_6WbE^oCH+*YuJ9dtD9hwb>7
zwuUuRkuD@F?8wmSTEy0UOb!M3HsXrevyR_6bYYrFA)8P<kKK76&a<z%8c!sDxgfdi
zM>j<Z7U|n&v00xM?YPJU{9h6%mJMpd&}{VH%MsI<m37FOL9udddhhP2L-yK0X*=tk
zJvf1#<1JG68bjE1r_71D4_XkFFnn_U%@~%=CjIAVQ!`c>%W>6>ss$y-cKocPAH}ri
zJ?B%kKVzK-_CJcmHNh4+ysm#RjIB$)^pQE!g&iTPp49|Rm@!*Cp`QH*JK1Cyb2PUH
zJNPRrz`cPC8s2?AH-6EuI)z5Z{15$DulAbGtTh?rLdV7Hd}vss5cN~y-vMkZ>i6!C
z-$<aGN*DV=gN6luafs30^&9IPseb>%iv*f|Vm)a@8m2I9>OEln2QxhBH7PSmgm0ON
z_s^W5VZUTgeRjD%f-Pw<ikAxz!7=M*tV0J4tC9aB_<Vc}dvCYrj<J~rl>UJIN~ix|
zKhN(9Q}>y~r1e*5PtR|2#MVi&KxY{HXDHr%h+_szYi(+qu26%Wmjc8v;s_RHVWAv9
zHH!sD4`mL_sY2<r=1Jn=(f?!4>fo7q%ug>PAVg0U1j}rT4_Ay~s6<=Wm3I;Q9{>OV
z|Nj)2cRbbKAIG`&cI`c`Yh4%jx~|QA8zp2%l7=*hB9){vOGwL}AxQ%%O6KPvnQc@`
zs8BXv+2iN;@B4Ai`*F_u{eGO+^K}ju*0g3slR$9fWsjZ7IOCtkTiUzse~dp8rQ+6~
z)WPGM?K#WU3C7fgICVa3k#Qo;^>UcHI-GfJr=&DH#n9R0dik|`nSp06>Y-mz1M<s@
zd3CpD7<YX`2%gew3^#W7jF=Hsm^dnS*1T<&AstXYr<Ae5sBRLBJZG;8&AJQBnTr20
zdS5aTiXJdQ{EH1yN{tFMQhPG8^5z*c<6a%lRdBHTxm@!XvI<med>Dz`w!paG^lfpV
zodvXu*lbFQltIW>r)yeliBWv9K3O=84IVAoVv9s&__|=Qu_C_0$OyW>FZ(73+>YR&
z$UP=P^rvY@P5U)Q;F)v2O0`^I=yiH7$AAdckH$~ks@-7J-ZZUhkmZGrM@^%GZ<Szx
z4-59JWC8}h^vHM}Kk)OHH=6_~LD0Z~pI(|c$m310wtXiE@g8nB1x1t~IOX4@dKU}4
zo!vMQcUTB^79Pob_L=~H>-RnJOJReUU$JsG6h+|f;x(>>D+G9BBv~MwzybHJ-#;<T
zB?gWR+)g_e0)+ZapFR1M3%)z2x)>@-z^KSf47)Y~961Tbd;+|1<LVf<mA@41yQiRJ
zAV+}6Qumy;Vt&XL=bWw_mx0ITpYMMo5P(@D<j@`@2y+|5OWgP6A&?kn6$u2;Cb9gB
zaukBNO<DVL2Su<6>RsJ`fdKM<w?%ERh=9U$te?;r0mQw?OsBpOU_tU_*Zx6K*zu1X
z_@jsj1(!7+U*4w#sy!d0SVzTSuu|{^YqSb{2`CqLz!SlTnzL(FQVM=NV6i%KNe#{n
z+TjCNi69#H#Q9a23>bDl)C)`{!FcN(Vh~XUcn^~P;ko6ZZR(J6X$u)X>~Y<5H&qo%
zXNIDxe<{G|`1x$$(1sw6eGh(ksKaH2q8n#D2=KW7Zi@N?3V8O!aEpa%fbOF`izY)#
zU?O%<prxG(D~c5Zg=?Cyr1?9kBTO0e=2I@V59q+3?5;nga}>Cb`S3d`sKVfyV)>Z?
z8idLE3E|as;GZJbZfd6*9LssC%Uq`m{pOeEcZleMzSXAUU@!@KTd%Ef9HWELd!NcR
zx*lX2;Cq^R$zVRRVzB)K9WsVuO!i(ifW+9Zfrk<`!Cmz3WY0JqZUh(fj;tAhVzcSa
z*T1x2!^q3#<3l<;zF88d8EXn&2l@9%;waF2i<QqDM~C#nl5HX!09T*q-%1Lk09&`D
z&-^S6j81ip>6@7Y&-Xg#wh9W|xe}tXdQk^%E$I^q_gcWP<Hdxub_(D-NcEH_6yW@Y
z%9LC!;ZV%*vyY`)`Q0(9slFzVYCrEQkg|d!M(!#v4p4xU7k=9Qxf<Lnb3Ez(*b10J
ztNOW{w84Wc9eI_X2x`GYSFho=fpT%ep<aJ2AS<!!)J@BQv*8@BOmQ28<zC>IZYP6<
z;mF`lh8WO(_B?3j+Xev-T#3VfNDy@G0{4~syijny?4<8oD=@TeFevz@1_CibT&8~O
z46OHKdS-wXw9+GjJD;k6%)cM^wwLrWH1)(QZ_Qf5!A?8HFJVOB-p94s@opT$Yg8rl
zAF+h@HUU8aRs?ANKCyTqejO8c2oL-8-U5i$#<Js*3gGE?*s9<yEApS6O1Cz!fWAU{
zQ5vTV5M_(c-EiPSG*15$H}cJ4M2j%%Bq9M5m!-ZfU*<(xT%43bUUO)T`YJYaKm-nr
z82E>k^CN+i_kQ|>12}W9vp<{>1QTigO=C7ebi<~uxoDCB9)p_JaGM8C7irkl9TG(K
z?G7vtCd}aLjz<KEcWfYwb2(%iD~KK*KNyUbO`&2W<8*2o6D%Cy?dXmYM0aC;U-uF*
z1woldr>`|GG8*pv&|UQrL>v70<N{+8u)UU#k4c_lcqI{<LJR~^dD`B>w3EglaB8|A
zYyH6}{}F?a=M+TJN9S%qi4ho-d3$o?moRv;PbR;8A%OJi=Ek4>X9!J4!?`p&y0PpX
zoxOS|1W<^Xzn`R)A+%l!u~~E-#@J>Wj4Dh75Fw>Rt}e#_W?jY?CpD%q)h+@#Nkag2
zOC+9RTGt1gx%zB6_dGVZ^u9RSOaR4;WlH)U)`#aOQM;?;5_bO7g?r1P0_fu7d8L~l
z^<Z@@(y_XG6|0P|lD*O|fPUS{%2K!11K~H1a&GV3#PIL!OE~lekr>B>E^`wdtZCVT
zf2^5NO;GlJ?zF9YvHiCH&w>u)=1Zk=y*L!Cc1-OUFCI1J9fj$3U5MvSAGX@fiXL^8
zT0P9dqfn<!{eSMdurVme(D}fIO6%ul+|7j$N3z9v(J>kfoy@PZvEe{szaJ>CFbO01
z-b}fm7#f6x-ZYJU#fgq+nX0Pv2_t{YZVS2+4J2Rbg~eKPBW}S-gRnOuC|*?lc2T<y
z$R~)&Wc2c&4^>Rr1>ZzbQ7bQ1_?!-i7@xV)c$N=o+hz?ov5BL+JQvnq8am+A9yQ#q
zCV=*GVKHDQf$lk5kZ$~;!gWGcPTqMzWZWB*ODvN_RzZ3-g{4%OT%?Vg1mMv(<+@!3
zTGEJb+x>!$3sg|#?z;B&gb>=UqTXcuMg}ctf4SD|N`*MwgFPJ)!pQ7bP3`ssIkZ=^
z@X2vKD){Aw%3UoKL4nhY(Zf0lC?@%%OEr-SH{$5>`hB8^{av>9b8ST=vxBGUwLBF*
zv-_(K62%e2_QV-EV*(P%rXOolqr!7L%O<DG5-2o@-G0|DCFD05dQ;Gx3Q?ptu0qR_
zNb~bCFUc?>df^u1#&dk@Jf81A?2eH}g#E|IiykQ>k=r;9!y+o2sLfyaLy$!=2;X__
zmkQDrItI$~ROn>7y~y=h4yk;R+mWfLhJ2RPNA`H=fSNRsi{hw&SZi{{>JO@;v+po@
z`%gL$xO3-cKVwDoSGfW=l}$nebwNosM`;i_DfaZG76I*e+GHa2Mguusoj&L!qzhp$
zZ%-(zDxp69RTZU4GU6@$yfpt=7asa{*HZ{YWO05paQr__B<vCuN2{U(A3SV%C8LZ4
zV6*bl7cEr&&QR9si5~d=c%H8(tb*E43SV-*t&J3Nv-(an=tHa_8<P#QDzYuQ?XriP
zf^sSpTnB~>AVO*ClgUq2M9ywsFCtS=@fokkBvB(c$i@C>s$2~T@&`KjYEaPOGO0$(
zUB)o^+bt01tB#fj!lS)dC@9k^MIt8M1nBEL+hlPh)OF3GnE8k{LZwu#;m@WJnl~e?
z5k^96p@UyO25F%ap%<Cl`55q7zuV?<CkY*l`m(q{)<lEn_i?p|1E>xbifzo1kYq<x
zFI&C_n&P((vd9LA)9RLZG)Y2l*VChQyVcQS%jLx+K6Bvp4b)7kA)(DDah)x_swlKw
z-Ll8u9FBSBIf!_Y(2TA3q-vEins{!($5m+#21lQ<^1W3@S4hK!eOHu_>7~pTjbU>r
z$b5aiK~f#n9Del7!c`Hi&HGB2Y?^~E=yBdLS3@1z3~u5+IpkV1rm4(g0sD72y7Ako
zBC8v2v`!l-6fehSoi=9<4UTid{3a?W(EHkoSCklX==!$s=AAjDiz!I`mQqHWQOtf{
zg@jRV?|`s(t~vbtXqESVQVH?kru_Xm1QBtk{}a~z<}hCIq@cZqfRqKNzV)?mBUjhN
zQwK%1;u+WFwqI35_w-_o!fe=4>oXJki6(&6H!0^OJrvO2YUuI5jYB_u-<$OL16;pv
z!drhx4(+G)=OKknOy9q0jT;XTR_2&GNR~l+GQu8|`>$Y6o!t(L`!YZxC9wRPuoUvS
z9r5k>zycP?e}!AO#0*}strjIpOQ6%$K9Y0p^H}<*a*oH0De%2I-j}jn4E-Ivli*V}
zhi!g`f<?M1@ctPZiAobe#3lA5(^s=trM(Y_e7Ffj`Vm-{d4$o~^Efq)uvzTOQI!{o
z?Z#lw{A_yYJ|687p6NaDd={H4s+mU;#!wTY;CAz<ATn`Tqiyb=!}hfB;`sxNpk!c!
ztu>h+O>rz8iSYRk3m<dQENV6c)2h*%Lw9&l*MSyWT*W+QV^!>(FK-A^b?+~e#<@}T
zjB9rrEMQ`O*|FS_25{C#?+o!Q7b1&9m(AdoFmZJT-|%mJ_)eS4Ff-&tQtnMoigU}@
zlTJ??vV%TkJh@W%AB_W<gh|^QbFE<x8sZ6kwR-R|^-cefH#<UqQpR|<ZD9B2vYf^=
z^}xd`H?1FILx*NKN7!AM(14!p$nJY|kZW+R+puLrN3~jv@X5?bCXaZPAWsLw19F!h
zF|ncdUDA`Z5gh6gP`9zaqYL&y5oMV_Skb9lOKvecSy6m3@8E!<E;NasDEj`B6%nS}
z#$#LAkXG&LuF;1yuv`fe?B`)aB?2s!>U%g4HoE6kh#n1uDhqe+_h3VBvdqtvvT&iu
z)NR@iT6KW>;e7hVt^FlYkCpP<xe@QZ7yh~XbRfC=u-{`3cC`Pcl*p%2UX)-dZ4$La
z1){`VN(B!GQfW3bcdg(@GTZQJaT!$TUmm+zHpqe4?_CsmdQuQsG&9T3n^IxE9HVl4
z;Y51438+fPqeX|R-}t{2V83mp6+Fj<nvd3U#`X%Kw|ikXBZ~sTkTEq*;XzGrUk%Tb
zMbJC8?Q!GI6wtqxbhsjg7X@T#6#UE)MTYZI&oTum5bNjTVI|Lx?yLPr)Kn8k2@@ea
zZKc{U`FZ86(?<dH@##8t|GfmV8;v-#ZmSK4ls9*M`z(k!5>li%Go(<8!Lhp`D_YQ1
z601=6eM`T)<JS5kWRNx&eonkW3!ZN(-RM~oLi*k0zo+8m5a$}(2fhrgEq>=0)72C~
zPFRdtucrcvX3ClWn4kr>4zlF;g^8k*_ZR4)(Td3H#dUvrrWSB^abK_eDTaa;RANGE
z2}pRVG=I-)Ex7YE*WvOJ34~qsE}^jzQFg;we2u6!h`)`Ud&44yyi4lKF78)GS6uDH
z3D>k?L^o2TzFr!A8yBncX;DGEHm+ZtM7Q|*??ek*vMh?5R45kHS3|~)Z^n!-Qea^<
z-55p7qg3(onP*SbQ7g_#IdqKzw`5;6<h3ZEj5D2AB}p2Hdj1_=a;uLx>&xr2-HONq
zy8*3vWK`p@Yk1vB2SS!C|D2s9ps)9WKUHyRp^v=V?TXZB&~hhgsDPJ<f}hg6_U_e2
z(tU;13-Y=U?snmYmbNllxp=(JZ94_6EM~>v^y!dfv(uB)Sp~hqA6=xhQIJX@aiKOq
z4{iqb<9D1;MI7Jk?VppW$U3|tykbkg%)dMDGYMBi7awTbS)JI5UzGa&Rm~7GPhfwd
zFR7!T?Qe8*VyGw&?s$3>89{cx&bt0#5=u;6+39_pia64ZTN217FcBIgV5*^k{533%
zD`lyOeIWFn+H+G-+g>7^+NpsKjC9><&ZeO5UsfDNx(vW4oH+i$jEs72)%=L=&_;aq
z!7D!<0iLSMlVT&ts3G;!728!!6viubwelap{9SLY>Uc7GL0wYW*{gvbM;{q|5^D|_
z@}*6td&wvb+~(Q>)Y16E=jnGh%)#67Vbk<~8c0{_S#9zs74(FBwKvt%0)j56e0$}l
zffVEnVto{eC^xe4CrhRUu%tXsDZflYI}(}Fmje{hm%P)7zp5?3FYMEU{juuE^=eK@
zbDAuwNTAaa8Z2O`gie3st%k;mCi+BkCD4IgRrCH2Eg&f<)v;Sn6%lE7vT8U*kU>K#
zYwINoaH})ReAuFl+(mBq1%DMl0gR+iI~W%5F)8V1z<wg)4A>DTUd)LqDr%RjXU!q?
z*pG<T83H<FY2`+V#399_;Um=<<}fHAT2&aMhy)!!jQiKEV20}L4{qq2gIx2D;&mAX
zG;_74YT?ivX4G(Wf%5}E1e^G)^cY#>>3qP7_4X(>{mY~L{4s#bvFyEz<5Fm>={>vI
zcpr9qlw+sgG6Q}(q`X@Vl|X&bKia$1+pzSvrV0i`1{hsS4|}d9h91-}?Ao=FgQd&J
zgnK)iL4gnPMZSOt@;vzZM{?FPMqZ>(y>+xHplZ$NAsHbg^f2S<`wfg?Vp8n!zRCnP
zaujz*y9=U$cmB!So-{JB*!qg-Ib+CZOuV%J93N6MeSActr-6~sjCk+r7(??Ow~gLZ
zZuDiW;V37ml0nV)+iekQ1f3Q;0-{(sQMfbiF6-`O#x(}j-D69q5~Y&)-!`zJOS2h+
zxXH(uNNw@$7GXmeTO_l+!B|ktzn7_@_ZqQG&&aWZeg@F?wKDWD4u|-QBMt@9-e6~B
z_eHKX>w}%E{`m`0OlX%YUX%W`8}m3wPVrOH2XE@_4SLW9*40&oK5h14Yn*{|VORCw
z%I8=7e3on2OI&n*Y|S7>bDMT!pP|EFVwP8S@Cw#;iR-{UmfskOULrZ{MTbM%<Fv~c
zmN0p%4KJrXqnM3oPT2e#UBER~#D8sF#Oe&)_f6K0VU?Hvri)tY!sZ#yO8+fxpx%lx
zd968xo!htFMYE0u{;B9djQ#?qsHK_g`E>>xlnhiL8q%P*)#fcr=RZttY3}A!@f@b9
z?L9hNtpndplBr3l|FDxzb04a&%wz5fR|dSzbU+~Qm)Xtae^^OJnE1|+1#E0BEivIW
z6}YZmsuyVbhv60thO#d$Vc3q<PB#}SoXWK+@0MG@`ptjXtmmy@vrGbObwd;w<(f*h
ze6WD!-#Vfq`*RIz)Xg-jKSO~T`*4{9`xY_6arLUr9h;cg?Yu9$c_`325|fBbm#~MX
z{siVpCe*xIepuN~8|twd$t0U)%x*L?KF}VAioYNGHyf)3eyoq^2~jIpBJ;27U)xwv
z)$O;#`W>1O8*qGPbYvC#G?{fJ`Vbr1(C2-pDyj()ziu80y0DJrWYva@$Z{Z6*PpdG
zUou!F`Y4|;-^2zC8dvH!I8oZos5O~p4G_!GZRp8mLJ3I`J<MD@h~wmi*dY}SU@fkv
zH@sj*lzsW#lfZ|LX?$PkNhU#5042_I5{JH7CI{ml3!u*{dX9PAB<Ki|P5EreiaIAb
zY;h`hBy*!Cjw4YW)Qe8$+^b_lo^pRJFQo{fqN}eYStZrs(I3g-U{4M-HnA%+Nl65C
z{Zmb-f2Ia!IwH^NDsUk-^)JjTJ)$Uscvw5bQw@q1_@X57JjnT9<iF4|ada^B1Hnv4
z4HUk!e7r{CLkAfS*SeobqUGoEA&<VPLWjWoVby2>lpSv2UjJPh>3s4`rdO*%oB3Gk
zXI4CtO}>*@p)ZFbW&gW%w^S9(zcspt9}z-7dmO8RycLk|{6lWdI#u8_Q$0KXTNn-V
z^}n9S6jA<N6)f$~*7|XRz1S5|RQ$M5?UTL|Qm15NG<`L2`5e-eWi5`z4#E0(8xhU^
zRPy<+L=A$1^=ONll4z)N!{I=%3X<`Q@$qp~2lBk~E@MM!l(W=NaMV#l^v{d&4~Znu
zPkfR8%TE@yBnL#Lv5`=NA44sWrU84iE?5>|@~F>cqbX!m16}xg+v{aC8Ri@Y&RmmG
zM29Ip56wPkqQ`LqZ26K}kiz!nQi~q}VWpB%bJg026!)`wW<wil1qVxav?!t9tNZ#k
zIw<G>5APcr87f4FgcN+yP)0``Is;-JQxSuEiRybq2MW~_uX1FnpknU-lo!wHpqQlp
znx1^4L9EZ<h!BSwy78)y`IZ6=HMWJylf&sCaWjGX{-ipZXuRHClutv?$|3~fZS;Zq
zSF+(*D+%?n1vlA`(~#pC&aPYfhG59CVD^uLj4Fd=sRj!)^j~gn!zVLiXzF;deVV9=
z<eBbMT3^yogXln8mWwI8H`&9QEv$u9&(Jf>HEC#0@<E)X4+F~TUJqHfYauS#kQ?*P
zI%tPqw(RvM05|96Is;6!k?iMl=Qv4J)bo8|xHr=rx_uO|=q;Z~4vjjWdqEqeG3orM
zKV|`qP48Z}F|-j+N}N!mE*UA#erf-Tw}g5tFUp6l`~$DF=7bB>P};1)>Ohhu9FLmf
zXkgPq>rcz1oJNR<Wx-=o>5nCp-xBjxSSF*Y8JCt=k|ILBK{B;?E0CO+*d9@$fhxvY
z9<wM)qvZsNMG&%r<NZeNS)?uhyMFmuzn=&?A=#5-KV=DLyN2FfjZj0V@+qn7885Qa
z-~N8fyn-T(o_Jfe)tB25^gnnUIu)&M$nI<j%q_&p^Z_DDdR)qVntKl0N0}}=_1gl9
zeKeT_a7u_bBK{HXd>d9c6Uy`2-vUAgaDy{yiii?v{4{%Qh%xfz0{g_cIb;Pq>c9I^
z4(*<l;ix-0$8a7$9oOw^4m`J&%|y3Jqlid93-`!n#(3=}<Ki&Dh3I!tnM@KWLB_u}
zyl8__o;zL1dKlmrYejSX>=xhFYc#2dGlQqdz4Y=<1_<1-u*#DbLQ}sK@l-t=oK(yR
zx%=4+925fYH!}$!dHX$fw%s@=9CwJUn=l32pcQ8_gBul+eN<WTEb!+BE!K)>i@WlY
zZtR$5LjxBcmWgw)KvgKIQ<`Q1_fi#9e)Hgv)6%HX(=Hr%@P&wu_!z^lq3ga)GV2(J
zujK6S(>SOwc9K!aH3BsSuCIYV7O=&Oxc$03IC##KOLzWZ2-A-}a%*<ZVh7mtw8ic)
zgOinq-ggy4h<`iz+P>@$cH`<LxpQ=8@c*5<!!pDG=CSD@+VcUd-OAfT`wJ83uU^*X
z@6v}bzZ$2T%kQweiQL}DuQ7r3$X>!nRegw4u@bNL&ch4>XsXPvOfaC*FRK%;2N5O5
zj$WX)FkbiI$6iyJ;3czz!;fh?c#nLHV;$*XIHnGWcBnIf*>VUjc`qI8Cf0d`g$5a7
znXEwxCQM+Q@-|q!OBbxhc#jRB-wY=njs<0ZCU`rWm}p|I3!-@Ucl{!N8O8+nSC?Ke
z!9tvB|F;?%ECs!2Y*U<Mw7xsb*d@;ljurK#y#_Q;e(+jq=;92+ZK^->$bDwmZ}7rR
zv{nc5nzQ&C+~*hqF@t3ncH&?(Zsc{Wxef^LIXX;LnP>D*s&Iu1vB0SqAy<X2EgvW6
zb>!IGKgPqdhK}%M7D%!xdf4x|<rnt8=ofBUWL#gq$=8Bo1KZI;-o{A^)cE*VUe8`;
zRN?l}d$ifXlvZ5#=`sbHE)}E?TwY~V98I`+E}8>y=KVP;3KS6Gbv`^4v(8v)6^N=|
z<AkR}tV;JIwBh8#ZUyT*n~Y@+-y>`V+^{~HVz|_*1?*5++BdOP$Nk~N^;5iXIxIXQ
zZ|nVhcS5e|k1P(#4?7<&4CV(zb*-KFvzl-YubruOgasUV@~<hm3IbPdvF%_V8E(B$
z{T$Q63J-LoBP`<ZaJH10+Gt0HeW!NSFPXDLpY#ojf<7TozWmARR+|P~2u`cL)6W56
zCNoJcJ4IlYzZ%=^q5;+GH3<*1xxmUjJ12TT6ijzX5O<G}z^Oz0^zjHDxa0Hl@QE~W
zIH^^7jVFl&wMUYy925C~$>X<!^Jz(_x_D^Pz>WkBy9W;ZXc2%ji-LE&LZ!i1Xt&k8
zI0+;)hNC`<<H0t`EIXxG7B~hIe9BhT!OhI(WZ6+6a6Gv8peM5ecvzQ-Fc#FIr=z{o
z=z}mUu<qiH-lhn(Q!0bgd?YZEJQuFLM-=`n<-6U?CxD<3G3Ls)t^9@7e<Yd2;mx^I
zcRYlM@c1ly!S(_Y@aZ0CvTc=sg>B6tLRrd?{A%s)y0QlRZ92Z|<r675SHQh4qo)d;
z9o{Q*Uo=2Mvx5C=wG1FSPj=fcHK@;All_j7K`KH#?Ch`{%;|2^7S1DW)lcME&7dZn
zKkD)0WrhOSM}M+8c!&%>r7f54n`^^H@AH+{ZxrFsKP--_q6J_7bD@}RaoVBH6<$F>
zC2-{cQb4W0iE$hq)CST>q@UgiDkND3unl_=VdNdtifuCm6u+Jqskp8KC+(L0W|S*K
z{_69th|5&iuSS5<UK)t+-S2sbT@`XJTI>A(AN&mUKzoHX9aOT#-FJAXfnhhcezsf(
z6yN&Jp8KH(l@Bt{DdwreHlKR6FPvLk8xpU1FwFphZN|b%Ka$||z>MyM#+JVB+342w
zHG-tqX7u-eHNfB=v&|zs4KiMfPj1+lfPj5p%-q)8?VZ1nCRC{d?8OWJQMJwB@KKkK
zaXFfBKeWF^K~M*#yfeBoSphm%_DoeNYk}Ur#)32zDjXb}AuIg`u#Za-;0n}&qbFZ%
z8(h)`_lc4?pE7fJX02=_ep(BTrDa@sPS=F?)J07@uPy&55#KJOtp$AT+BZyPNszFh
zV{i1w0=#aE_1P3^g4%9JdH%O5FfO7X67OIMuB)p<pFWZyM%dfwx33Zm$gp02f87!y
z-;i=@wm7sg(q&gVp8|YU<}>+o-xAbZa=q=sNpLR?@i&%BLf$|WJ~zh_3ZLzJ6vC?x
z+gr&ojhHalg~`_Gp0<Sl0RRC1{|uLRG}Uh$$FIFNA&RWaHSWExy}lopBBW?ol^H5!
zWo7?lmIf*zBq0r@l2pD=DJrrxh{~SXd;R?Toada+InQ{%UoY+*Ond@iL^vN(;dZo{
z8}J*gZa>H-a8BvMlvtBI+`&{Eg~OO2>M2V%!w)(X#~F+Xi_5{0>T~!N?nSKjmnfCs
zPlxw5<cymxGT`8s)OX~4AI7ed`zCkO7$#oIa85ju2FgR-Af2RQJd)<Tdpgk=Zm7L_
z^@ndK?A4d}d|+EI{(SIW6z~{>&ucj$mf`J?5!qqwR{9SYIkJtJFAd<!EPIjWxG4BH
zq@R-;n#E736)~!b0SwrMC^YX90j2M>Z}nV@IMbqL;WJ|lYUMl47B31ywS?otZ1!bb
zc)r~7se=)0L=(8Cl=<PFGr6`&Vg)b!t;|RcGlcF92h%l1ZYVvX=zTkU1wX5w`ye6T
z0FK2!9}nEd4oa%VLGnjd@Gn2i*Q%QI0bB4oTb0TTZ_O;%|FkUQaaknNO;&yA_Bn3A
z;m!clz?OKBcNxEY>&KB=Q#~k?-M)||wT{Ww1od>wE#Z;PV#58&x=?zlxsGA`5|(8q
zTb`-3h;ulkh9-9CfYfVh&+npH><;(lW1`9e-sz$&X+hKh7Hg5@YTrq$Re0GiLT4Ud
z08{CPC~Ziu$?p(}8pia~qQ&Cv=J48zewB(YEy$GLbBXtOFScLKg!b{uEFRi_YFm}z
z*1B^z@z3~AO!7>y$IpQoy!&e7<FrCesPN+b=jhyw?HOs+7&<zGSL3&&nD{k;lwv;F
zk%wdV2V$pJ7N+sjcVBaTi`IavqOxa~ibF7?efZPEFQ#$pWn#gvSsJL-=bH1xzrvq(
z^yNItoW^zYjjJY3(?DZ?<xzo|Pk5<yy1(0<X?$NRJNv+pI#dwSl4e<3amBU!#FD0I
z+@`ehY=M_LU^cQd!3y8;)!b40`?52*r}=mw#~2mlTgXNcQ(d@c4bw!y?HN4madj&p
zfC?f9Gk1M6{DV*4XRuo_oW)u7SXBeoD6nSRn0xeWFCJy3ov@!}4u5^j>Brs_3aFkx
zJ#sL;AFr$EkGnWGhnM$Neh8MJz}>y0q8DEb;?o0F*T%UQaQ)zg`F3YAl+2GEfbL<O
zO`|)U|G*-?X6fRgenk!V1um8v3y$Hu$#doF_!2(rJ+LtQK^3+gR=di5bOKNNI$Nyl
zyn@pYc5?7CsKQT9yUMY5leqZjhA%0UHJqP~XDr-A1zKy0|0c^%<4ps-!I!i*a4qT3
zI=G|^UGvXvoug-P_x5A4A_fE`G3E8myNd*Gi<B8<XJ+wM-C~Zga0awW4XEd&l3=*w
zxm|ATJZ|rnmmBws5ncYaD|>IM5=>QTJ*c5B;(7l@1H|2!(NE6J{3BC}aPTf+Ulr>z
zKDs+5=Num^Y85NjIp?Sd|GlOdk20^~r!bE|rC~OdZE*VcQausKzw1ibsOvbtdBRQ7
z6bB-e1uxj{Cc;3LaL10To4Ce9;_e1zZp3l^uL)0`0yqkN>S_>TKwK|G!)x<+(L1V=
zZM%&ExIAm>x*x@eZql;vW|i<GyOy@Lh(URn{F^S{z{QLvhZ7X*WdxB~(S|x#f;>n+
zQ#yaMng#W8?9y_5Cxmi$6bHYd$^%o;o6}`kY{(G{Z}3YLL9Fp7i}=Un;D?yS%;H@R
zWZrP_k#eXgdeqz2^zE4(_>GI-O7G!9Ld>ELtvAHcp9A4FdY9$Ezihi>k2NoPt$##5
zcTfV|HSA1mkC1}^HuB2T2!8ZRGjVspshy}{oox5&KRF0I@<7~sS^&ij3SVnZlScdX
z+ux+#m4l=J=d7_rA@r?C+Gm7Y1~s13WX|l9gT3?D3zF#~NcfFxfmNX_a$$APX)%+B
zyDP6NPRWX*pxof^ybkiHzU=hg`3`w7R6KY;Kt&wI@lQyfA`uaTp4oUph5|HeoU_~J
zEP);bbqV@!Q$h{9FpK6CB3w1fu#kVV14(AM$CisLqrc~$UTZ*#V31K#_kNc&s#)$A
zZc<Z4q`KMY6(bUuRdzZ~h3!J6p97njt;xuyS<ixtR|V+x{yTOJ$e`;N?_?gWpr9QA
z2QA&T)Zq6VX}H}*4qb6}@JXtsqG;v&|DHHgKrP6r*m6W3o$ocR?Wj;kPHNK;8sDk#
zlKA`hzAz#hp7rc+$)F)@(#5;=KN=iMx<Fs!P(tZt?^eRCG|)ilP}l)iP59KackFc<
z3EdgE;`_c?19ddMHuF5I4c2$!#q>E;5N2klYA>vb)|h8|gbH+l(VLh5v8yWDKRuN+
zz^RG;lak}qn$m}qK6d%tSJcqp8|jp|QVq0uz!yt0Hv-u+t}A^P$mr-<W{JZSH1vda
zayicuK<sCsA%_G7IZ5BTxzMVPiXV;(skj@%zwE3&b}I_viDk<0aiyZasG9?Kro-av
z{FG1|3d*z}4!mGNMt#>#GgGuppsy5P)Kj9MDh3S`dsk&->F#wf{I3b<zvzAPu!xLq
z=8mUE(}<|Bi9@)=!4z~2C^wi2)ll?mo%@a{86=Fe=o{vm!k#<Q$|JU_$o|nS-SDIx
zXn?OglKj*Zj7JkbZdNO!cOmu#OAkfRo2(~)58gBdu}yaet_3BesU4LV#Lt6xs`AaE
z?Mz{jkX%>Cs)*#zcJ2&{CZOn*iVI20CLnWDr@nPl9+3po&sfP1;WtW--#8v`0^aSz
zL!bW1BFVic9vEN!fmww1TOVRHft;qeefNIvLTVicqZ1tFu>9@C&5wiW&{*S%8Y-nw
z#)W;yB0V;-sn}JUz#(IpdJ<6f>!$=V%a);0zcaz!q!+=S_QtUCqFY){O$-g5k{USC
z#tJOWAfeI#aKdkFDD|x{vcF;U!MvLt(tb013NZ!PPSR}ua7h3a-?D$QjmQZJk0UR}
zUBE!*$CK0;eI9i3Q4aN3Hzz0)ZKY-|8bP|NNN?^RHst-;;mH{VE@&OPz3ph8AxzpG
zdq`tpLi~qj1N>#UKz$-a?PRq9RQnAchdt|f?E`M1?lDgIlU-&TKCBOgM8hVP6Z3dc
zSB{-<CMP(IjVQE9>Vx$UEn-{gIBs^8X{VG9Cs+k1JT7t6gU%N7E;jZ*xV^fA$kCr1
zu+Q3gK<|z&G~Y5lQ#1Y^PqTH(RY>4~*~RSIACo!|bwQLeo%9jw&${;M)E*8{kXrdX
zuv-T<PQTQS9{Ytgozv}=m*xOXADfe11=>)=l^tk&cMvly|HRiW$^qL5&%T+nYQy5~
z9?@6a|F8^Z53dFa2Y4!NK5y~Wg4~lYf317ZU|b!0BT~<BK$3X2tIBUph<KE2bvS7r
z^Z3eoe65KCxZGJ)qz`EVr|+KKk^xJYVNCntO$Sc6<9p_LT%!hj&oeP4&{nZfV7Xkt
z#RYb1{nzxZH9+eylg#sP>sTc*@i%>l3kXHy2XxzL@ZPSfm{EfOyRQdp=T30Lp1p*Y
z^T%jlN%`?2ER+FcVk%<CrFfyPTA7h^LLJ=fUj})+WrXdGWk!k7d=OH`#IPQ#4q@#j
zL*i`A@XWGhV>y8z2JXS-U`chD32JS4?7#vJS3A9fJO#ju?DD(l4HaAs(#8p|Sm9=C
zW~_>{AV>wP)Hb+LVGoVV>761w9J!RrLJ1H8<I|T^wfU&Pk!2AX`H%w&ZYnvH<O_q}
zwD{<r_Y}DHFfp;nj0+g**H)UxL|`x2{_=~UK!{GB%FT6dK!1K*oIWH9?-N{Hz=*On
z-$eOl3op=02MC9{#bCvni`kK#0(pPyNN3&o;obhS0PTeB5X5RUwpKxgZgR>#Q$GPX
z_3vV5^#MtUsZ~~y@FxSIP>tStRS+Kj!6rKmcfzfRDls8rGW0E5ze=eUg3s^Qwu=&_
zVb8#b6-|i@DsAhh>jXu>(<?`Q9(KVEX0Hfw6*2_RGNbC?ZSYn7z;jz48R&ix9QeYD
z46e*!b3wDBa8aqgD7{1$1_m}X_Fg8#y|ni>Wy#_YETtNIV@?jFzWcuSm?J|P*S(%L
zT?ybf(XP2>tpL|n|8<@*rhxU?*BU>Vc7VKfvHrv}B1q1AX#dQmfRVDViR92uaHW*x
zi0x7Wo~H^DF~U^1X;v>H>n{z|x?csZ*GQmo3Vm=bq(Xu~d(fq@T_9RH74vmN8Jtpn
z4cQ)0hcml7$Z{8Dpyayc^opx0wA}*LZ{jrA*yo;JbXOL*^IH^z%he!(<K*lpg9cpU
zVj=ECa&YtzSK7~hGJNm|5N~7GgzLv@Iop42am4#)bzUJ9@VxuXy;W5Uq`8vK&F2;1
zQ)_Tw!(R&Y?^bpn-|82-xy_0uvm&%S@#>;0Qz3V5`oEG-I*^>6Ze7fz1R-A;u0PyI
z1<{W`Vg@z!VE=5;kmQ6C+*&0~<e5-mw6e;vsZ1ZnoagesyduGOf#`}Eb}Fn!&KLYs
zHH5y8^nD|4%3%NDUH$Itt-cJ%+Z|bC1V6V)R*Uy41DhDL%gWZdpZ+4a+m8((<YZ2G
z3snU=4V+kZ*s8&Qem3Wo9|PQbvEo;|PX#Q8+IZ#cRY0b(cc&}e7!32RZdlP&pqAve
zA-s(QS=lQGs&He_3uf)f{HqKL`Rfaxa*1G9VN^OTLx;1;xpu!DlwmnOt0;s`9)9-5
z^9r1zgCnctX|p^M5ULLEVDgj!JypNllngqY(^NKkS)l|31JS?9xl)iO%w|lwO9!OS
zv_G;)5f}}MqG%7c13ny@)PIu>g)$3o`+|sY;C8rp8Q(TIJm+yHHHZ$qhbh%nDhe>O
z{Owr6UjfL8%aOW((c!1fn8;A89Q;}K_hvlG4Jm&86)wxh;Fhz#zTqni>;$3YoOu>l
z4UNftRJ7%fZsgTfP8qOMscLb*OaRp?BmZ&>W58WMo@FkThTlbjRXv(ZSWxkeew$%{
z5Ai0&nT0!na>Kc&Twoe=^Rv@hjs?ir(|KE%UlQuwp1o~k8NvkCXb*0SZ}m>H%=B`O
zI8XyM&p5esV*^dZxkOhC(g*+6EbbSDs(1hLog-T?VU>AjiECS4`T2#Fw2BB^UGSzz
z?Ww`KWbS69)ffT~etmcsO$bUGO4O!fpJT_2oUK__44`sJ@#=pk1mMWat1qKom11?o
z56N<x25@6;-0fLB9|#0<B)%Mcge`gAUOg0~4}&tid0ZLXu&v$C@ambDm~DS+--jwa
z*vaQ#Upd18t*0ce9nXJ{{Z#pG8Ofpt@9J)SD7wuC`yOl0O=r|&<xPt6zK3-|Iv<&u
zUuA)__rAtuakOEj79FDzr8=Mz92VOAkqH7;%-6-ceqd#`d4aLaI`FTD3tV*>fm04?
zeh~YOv7MT{dB|NG60Po^Bo7iGWv=9^e_Jo+67-*LW33h}+}ubuxUz|P&q+VA)*Zym
zdg^z5QqzLdBQ+hx<?C3~j^~l|$`Oon#8XHrTN85DjMgrztznxTF$oX$O<-%LONX9u
zX~Ho!OR?*#E7<Sasm7{^DeQA>@Q8Pe28_OWCc8su1)ETm<841agFVdJkxg8t!H--y
z?)|>Y*a>TzGxPpA?86-2Y-bP+p4Ye9ig7Jt_h=LG!}}L7^#~_&z=Aq_`SdqLsdou;
zRmJ(LJeDw_UOkgP=hdOloLg^tY6%-5gdf$twu0R}9Xukzqz-bId1G&AEMv;|hQHqa
zxrWJqv}lyNLWS!iw{B0DE@M|zZPhQ*H?f-+ezcG7q{5VBvwOVl3g+Sy@+p3p0FKfr
z;W6bDh`!QzA(XU=rKl^I@7c`=>XpCUM)p$Rvg(xY74<c2<Jid_-zp|x(^#ML`a*{4
z^8Moqr`Iv6&(Y|emMp+Jgq4r7lfgLfXFR!M16vvGGrzmS3QdK7lQZ_K0rCCvsIV>p
zssk+t6B^h-K~QP%Nv<k9d|1&aAj1HH#h$AdKX8J`x(9duf(o2p4f))uzzF&mwMkD0
zxgj>due8%n1+4kYIthE3AcNqquCC1opk~Xl@Lm}fJJKfXQ<&kCut=RrH$S`@y1!bY
zqYOq9p}ec(Ea2Fm*#A^d5Z?Uyme;bCgEjy9tc(NM;DpSx#v>I%P`xjgC&G*bV~@1w
zKT2`HsFP?*m8}T$ZdNjn_A0?}`Q|g1c}@^F{K*(7C<-B^9S^d%y!E(jmWa$EHxTY_
zXo)O|f#8J{4~M;5KKtwAV=F~IxV(9$Re@Ck0$wlPGZIsRJT~S8`C5Lc;@1*m!FIsu
zz4Y>rYl;vuVp@DaNDw@Gn>9WbO2OdWqm6CLiqQ4(_GO<)AyDIOXO5TL1+TeM+&&6!
z%_UgK(^y5I@)9@h86^W&SQKxVr4rnJYAI`6whaW&q(<>9$%1F$LCn5H3HI_};u~RN
z;6Kyo|0_uz^2&y&PHH3=cbUzN^x6)SzoOHf$wcV$j*nvL+wycG;k<pQB<ROF9N-yI
zgz(DWN9-Du!G+_~i-?CiK{H6lc=IU<uD&k4{&-3Sn$?n7&c{lFh5z@{g%?!7;yZl2
zc4W)T{LGx1-|PaeES^n&2Q?^++ps1xQs7kkbKWpkS-7{jKV+W}1)7Gv8b>!NFlXLt
z^u<XIhLaXjCnhP7%fU8Qt+2&c;u>%GU&+I98F)o|O$C>7`_ah|8XOe(Pv?v{5l94P
zt4luW&>pKDYCWp~(F+v?Z-Ny;=<}E9z!i09G1Y)qH?+Vw>u!AdXC?5lj9(gYq`?E8
z^umH;I*>SVLg6rnGFWaD9Fx32gFT0J8_Pfs%1qB^pH)!-wRp_k;tUPMxED4rZsj3K
z>$vZ0MO7$}yfD(hM+1eK!fV`QBgpx}EGs;x3d36O7iGQGq2XS$Ko2i~wcsz<yr2dj
zo|O{2f~ipPoZtA=5<rO=XXm*#H3*^Wt?_Sh47NxrsINDM!Ty8(IX~6lTK?OWk$hEP
zcr`*l6HA8@-q*S(Gt}U((c5Y36C_aOUFkIyGJ$JhUp!Wr)Syx2Ss34x0vvFV6*?7Z
z0$T6v?mSXf1^a;VUht5GvHV|rUezY>OIk<&w}1+4zRA-ZsFQ+YsYxlC-%VhfstLgj
zCqZoR(5%PyE&k##C>;M{0#RS%c|RI$y<cwQ$6qG}!TFZYux73aM1F1i7ne<hETa=&
zyIVOyMS+dG<cJA03BH^*_$v>*ox4hxXbf=0_}#qx3LPkQlwl?bIk?nS?rbPIgHZy^
zcpNU%A=%*lwH{j;xO(~Xt-PvMY`A=M+*XVZ+Y=`he6LA^sk?5lr1cLx$^Mh3eU33$
zdrF?oc)bH+VjLWW|BmC#BHROwJB-2eO(E;w^V=b^A}lhjat`NR?)bJR58&G*Nwm&e
z6l^r-9U2Umaay)}YMKl{=Tiycn<>J8c;5DNA6UbqhcwSL*<jGE_x#nqJ^}a_$gwv<
zX9Ks|S7O8HX#`o_ytikDc;RgEmpgQwP2BOe)ys(g452u+m7*KU37%8@gD7zm?;0r0
zh$uFIT8}`2@HtkHGOOS#KC+2drn_t(ZQtTC1)g@VZ;asLdN4k&VFMR<Y;Zr6Qy->9
zpP&9f-NYI#EZs6VHt;}smd0u`Jz&kvoo)AC#_FUTk31)?<KNcOd-q(@g{PUIzD%FP
zlm|{ZTIjFgdJ@l<ZhhC;;(#+7$aNB{m2vP;J+z8Xp4Cd)qoe}^@6LBt?HR(x{d{+w
zi(0||J$kUcKSmoo;_sX}Df$QF6S1YM)-2<J`(BO<_h>=h(f{OZeA}>M$&=-qipzNS
z1x82!E#R8w&U;BiSmNzpubw?$!hHo?1}2L&K`x(KGa{Cce`!b<Ejqb`2kkF7CM2v0
z_t=t3*_CVYi2$pesuoLl<aXQUstX#R!@qC&j#(S-)ca}pkKGc!-V#Qr-0IDy5V=l$
z)QNi)mo^ThFX0b8BJBDCw*H^E;<|gwAN<&3{j)namvA@#e}WQI>OdY8dG(F0AGf%B
zB+Wi+89(^PDx2=F4k401Ma%?;aBKO?Gk%^cczduM3w>eBvogsO78@h@iTBr3{5)21
zcFXD4EYVbO3wl^~;>S2HD=lVSaD5G5`OR@Sii-+gQ{S0TA5P-tJ3E9+SJ!db>CUA5
zEne2>xJ)vkPveThce}1;ZsH7I3~Wx2Dd2XF{-x!`3~po-LOAu3fVlic95PbLFc$r&
z{=ViM?u1EbRw4!@Ivmb@w?+*}GI<$Ewext+4P~2!5k{0?BXXIQK@EPXyRHkLS;VQ{
zFXt(m%&6u1eW|Y9sz4w4);6iSj7we@F?e6dg66uy%`MYZpyk?dN)68{e*M&6pTqiW
z=onFSTiT#9xDq!+4hpQ})iXo%(N%U7I_CXjovsXq!8T)whMRb*cxC$c5l(b_asBjc
zF$s7pwXfjy1azDCu*6q(9#o74D$a<IAUklN%0iG4Jup7T+J2M|5uTf0%G~O~%(6u}
z-5@3uzB$mLFwc*^+OEI5&!+^bQOGZ8kr^TP(4UKrg6MEKT~heABAB#fkGtovB2F2r
z1IK%Xkj0&d;w3FbnDp0OQ}AL(reBX%t)_~g{`Lps&w7Y3E>T;5%!v~zJ-%n1<RXe(
z+Fz~?T_?g=CgZD`2yS$?bRYA_qvA-!s=YSxI1%ne6hAR);zc3e@}IooB~a7~y{1o(
z2r84s^wSUcQIy?PBB6T+x)s2C=cOtUj+h>eY2y+^87HmDBkIx!MF~{sZ0*myXmxcU
zMF<gmgH+qD?m|-T(<kLTh!7t%RG&u@K?bH@R%+N~k()tm%-1p^sHdqYc8_mEU*f{w
zR%OW{+wW2F3NnhYfIT4TwTU5~$JL!{yA_bK^Mj^ZqzE3I@+H$f+YzDHyW~5&A{v=Y
zO&z?Z1Vj8xf6DlGplWT$vq%0YA#;5_v3)rt_*cO3($QNAIp1D=GEt|DIF_b@l!vxF
z&FH<7*Nik8uH8AY^OY((6wX=I6{ZT8^)Hj^jAc;PxepYH2V^AF+(C?VB7@wwZ@5;z
zESme9P^JBug7iL*-BJHc0aXb_-b_w;l<)iC`iUo0Bv-R8@<c!#wAK&UWJV~Ut}*_q
z@c-1&OC8Ve&Pg=5@8qbMJViwIo}uQcnl$9}NbFm_iYDCQ)afyIRzghI10&0;X=sSw
zz2ART3liT_ubUteYNT`p<_l_|r-Z;S1OIg3_`4bQOb!*4m2FB-RM0@<duvzTuIs^Z
zvYqQmiYgMgv*DyRO+(T)2^Xy;48hv4@PxaP8oIn>RjT1bLw6k6UVYWZ;Bf2CuCpU*
zXs*VrZufO{6kB;rK0O~`G~6sJ*^`WNKW%Ga^`)Zr81-a@G-EhWATw2(Nk)H~($m8k
zDCkS_W_g4c9b!lXzl`%_B>As0*youF`qlim5f?LoJ4QZZKAdFaoc!tY6#*rby6yXS
z{d^M$?I{-IuuwzEf<-gRrt(PrU{>G6iU|l=WOuh3siKsMg9~`TE|d@#E%8jz6x5y^
z8n&I@x<5X`@_{%BRDL_-y?}}-^z^Hd{d`F1&_-jMT&^%8C8aq(<}d}GZ7FgIZxoSF
zKbLRv2X0jORj%Snoe8i~-r1h}r+^}Si64tP7*OfuE7A@=CXmeI&r!=OkK#J_V0B#6
zc&bxlQO*V(Hq9TrVpWnwF-d~N4)H3yLFDdXhYNJL5Efx*Wwr~64D=-bOB}#zmP{NU
zGSWe>od3yq-%iAzuxUEsJBQt+hM#;AX$%=sq%Lh|36%KAH{{^!RZO6cS{1X!GYlEK
z<+V7)kk_26*6&yXD4!nTJ{SaBd9}$9J0^_QNS-BHwv52)ZT3%Z3<HOXoRlS2L6m8^
zqkTG*33x8^eT<qj0u3R$-`O|3=;y9@6<mTDT*MlV9bhwp<NT=-9K9SU%d}M#b7F=!
zhn8lhWDP-(r|Mf&I193`tqNy5$P6V#8r`}U2C&Qbv2bV{13L23a&u0c8E)Ub7V$Am
z9|*Y-3I_&P@vrJ0<f8XX;O^N!z+J8fq90@k1@ZGZ<-Wo^+fgR?T_4~OF{2Bg?)9y|
zESbb3n*tv9O*2Aoy3O?%JzW@dg>2Ed0ldR`w(LYIBgE-i{=J;61AV0d<JQwZ@OHJU
z?l(0VA!BUKRq3}jh*kQgQw!eV62b+1^^**cpVm0`M^76v&p$1@f1(0=mSfAij59#W
zt#mk?qXn*rZ{cflE5_uLqQ!Tg0fNZNt{O~Q;PYJ2zfZddV<{VcL3_ji3MGl&y1trF
zd*+S#m(%@N?~d@VYhM}QsFISA@*fRoQjWVCXf=X;D_I=Q<z|GLGC!NH!y1s-q@>B;
zK7oaL5rPFzF~VSiOt@S#4TgPU+M>CpG3}<5_v%B8;PiGwc+{E(hiiPJ8H8ss_Qn>L
z?-!WBudUHqv{fBa)yB`!xaTp9wpBMK%&<{tUX$yf4y|qP48_(KFeavt>?h?}U}f&M
z)%gJ`JUjR!Pkw9(D?O=YmQG@YeB-C04}z$$C%ojI)1MXWe*gdg|Njh^ha=Wq7>4ca
zy+`(V@$%Z+ds{_CDWwz{Au>urLrW?pA!S5~B%vq?mESK(q`o2|QOU@bl^LJE;5_Gf
zo^!7IQfWYTlgk=dS;)?qaO$8(_qf*XUrY4#T!Aki^Vo6FM|;31mj=zpKZ}mfF4Hqa
zGF4B>a^lrBmYHhM@J091@9|^?G{!x>D_P5hE6G(}{cp6feG_YNZ6zZX#;ZFhH+T>n
zv0sN>SQ}o6H>~xim=LSKyZ%fXA7+e}{PzTDLD<VS$=I3&+J1k=<$v=-rDat3*hea+
zXm^L23RtnuPTwt9Mi9oTiGz}sRP?Wy*zi(U>z)tqnm;In`G0cRa+R7$NH4g-^N}5X
zdlv6i^$26@MlYkAR+?D8?KsAAjT6<fO=Hg@Md9Cloaa-!1`>SNAE2M$#)|N|Fcxib
zz+R-w>a+%wDzCLkC-5T3P-^@kmm~sAo0BR{G+>z1kih20kElw=xQBewcvwem*}O&r
zW6egRuQLT8;JyDtz4=;HT2Z(oht=V(!Fge2L=eK;FZLR3kc0o-xC5+%>WK8CbolNR
z24}6IRpVuOP*QI>Su$%N<!x$E+)oi?>`q@Y?@<8v3)8``78(eBF!Acsc`;-td4y?g
zQ36pUM{;Coz?fp#>aj@zuYKfPGn$l<eD7yRq_QTqNDQmZ=tx0pzk5iouPQ>7_y;UH
zH9^M7B>!h5gQyU7VmAi`88eA>pX#V!_Ap-?<}Qo-uI%??E7Wn$zfrbxNDE%lA%Cks
z$swglxyw0N6RpnGi7cu#Z2bIu>r(~=^hZ4^m6g*%dY{_O)&&|eVzQszHCM!nh7O<o
zTW#>|o{?3Z(!r<4iR|PVC2;ZRpFUMcgOpO<?<4^|e7IkcWcywjqtlC-#hy9{;C$tA
ze}_K&H2n^Fim76;B)NIRq7Kq+5BMj&GC<V+i3uflHMH-SNoxqxMaN2y@9oV-a4q?G
z=JE{+{MR$x@~PHEV#K@UKa0kQp7FIyd9IEy0f)rOR$Z)*d#IvCm_pBYn11fH2HGC3
z*xxMG1$E!$n8>T<@K&*~Uzeu|{&l;Qe{a%-_`;iWS)P`-+L~)J>PkhdKfkF@o(>*m
zO;7C*1S}QgLpOh>LMm<>Pv8q0eAl;n2K57ZBU)8O{95qjQrQ`+rH#tKnk$ZZR#5uX
z6|sR!3tvpeGB{3Z!f!w)`<%TsM0)P79Ve+6?tCD!c!~nnIUy^iMr(M6N}E!2so-un
z`gFas3YMc^4JT7<5LBH!;o_}{8iSlom-!V@oTPI`!p8>q#AEK^ssXj-BiGZ*Wg#m1
zj(R@I1}dWd+zt}zIH>sSn^LL-R1L;-t_IoQa)^9aQmGmq)=VDWFd_sMJD&{}Ha4iU
zlaG#8SA`hk+SAYO@!(tk)m9%y8+cnYhlM04!>^cG^;#7Rs#A*nrHibQ+xH~L`L`m9
z_}|1h(--JYwg#_VSMQ}>t))S=RDd>l@lk^LF#YUzn~5tOR+!$GZq%9~ho8!aza=>|
z(vQ{1Z@TJd1sj(Mp-XGl;=8>;gIi!T5i+e38#WI7VfrpbU6O>aXggD_cOS8j*)S_D
z5-8MeHdT-khjID%yp7!$K|5|LL@)sVwVv#{8X$rjyDOZv^(P6Fn65TmaXLI#KCGM_
z5=5+O3Pn|QnmF}1_2E~2ORSk+x6|%6KMwL_4M`f#5X<EK8JC?FI4iW?*pH6~e6wM0
z^pqJQt?gqMcZ@kk7qiZb+HpY6F<)qN@C-rStZygs)C}@->ZKvySRqk!ctdyJG!Y}G
zW3+M16r$W-bAlh3u-dx&EYj0Nh}W*MKrK^LT{&O&Q-}d92^#r}s#8RH$iX<-BPQ_R
zK21Hpb&;N(?##z5GfCj3@(Z3CV|ec9o*3btr88<<)(LS=5XQN}k2-{nL7B399OW=Y
zUpTfUS!-sTkUC;6MhiB=j4Q2+{qH#4E=#{wcx;rQ9q4kaerE_NE0%#7$`CzWx~N5*
zYlNtC;0~~$8e-42D#v-zKKiUQ&A!}ah&Z|KNp(<)0hV?z-x<C4lg^@M78><wfG`_-
z_(zbz0RO(eVynLNmEIjjG!>rtO}O`2&n|`P<7^RwmjcmD7dd#XWFnxS*qamS{jWz4
zC6ytX-AN7f-7gIGRL1oYgYW-b9p0^n7RC5cOXX^M{_ihLxj%b}JBbc|a@usk9m)H&
zL@}Q}WRT(ZF}Rm_cj}KfldCS~GP9EA2CflNJ%W&>^%Bv=e;y2f)q&u-Ft5<|Cxphy
zZXQ3CUP7hZb;)}5U(wHT^z$hq3D(}}wMm<M33=gw?6E-_wqE5tb*#IN;3UT~>mKwH
zLE(xIzeLdROZJE0{lfQz#$?u^Xrn%&xG=J%myL!shvGS>gqny<k1JzWXZna8-bek}
z^|j#~_4$uU#b-kO@%z&o`uYhTTHHlzPc0Ba8*Fl&z7X{a2a_V#3=l{18xprAQxUp1
zjc)R*omf~*Js03UNVv6!CrP~1#4WCdsP)m`h=GGu+027Ogwx~CdPml1BGZ@filcld
zyvBdV))b8pw!7B0Ic(4XSHV$cji{f*jowkBws4F%E6)8YI$0fCZFbz-H`-0OQxc~J
z!~YO^LF>I2eo*ki)-P@*s)xAsT*UR+(+NV^wZEiDmx7+}X4?W~`-n1s2hkzPDdP4S
z#?07DYG|pbj|g17Pgh^(){FVmgdtyQ=CR+Zuv7EsZ1^}p>=RIDVB7nb5IH9maNa=`
zVLqYTGJ1xHGLMg(j&^f|{*hD71tlu@n2^n2p)yKvZV5VC=dnO&xe9z9kygR8CpYE}
zXN?mpLZ<QiN|p#F(S)yiS071X?0bnS)d`}&;#*rWeT8_mGPg&DRT&Teu`!&uGfCLR
zJjvU~!AS0^K3BhSl`Fg(zOWb2r-|=3VouwoF_CEvEX}gaN^rZ!nGLqTMEchDPuRjj
z8i-0b|G1=x7<RQ2IrFo`h-)U(Spzom)}Qp!UU5b2wVYN>U%Nnb$K6_YdlNeuGxJg|
zw^#w0pBU@*9a|!tv@Q_0GdM}AAY(?Mg8~*_@%O$FTp<p-P2Oiv<{?!ZzAZl<mB&}N
zF>aPw2J*R%eRahI9~t;5BQQNf9@P;QtmosH$UzN(gPAb`B#T$he3-L5+*V4Z?%T4E
zH;$KW(l-<$!y;^vEF_PYXIeXtYqF8wXs+9xghfc{*n&qXzvR%&{czaNZnZv}mZTba
zF|wU+T<H)ghyS_~_9&!qk`|0My%)SC$a{YcTP{A5!@lVq*UM#i$OvnF>#Pnb(o+9#
zLDge9uy;h!!+!ITkCckc2Cl3n`N9nZj((7X{?ju3;Nt>h<wQ{_6DdbVRb;&GW|l`}
zlUrH6nh;s19jD9era-cAcs74=lLu2^dRf}CFgd^EyPsQBi43=}-zU~Ck4oSAkjpEg
z<ZWlOl?&6#WMZb|?d@k3@K?}NiAzg@Jab%DvVU5Y%o<3owewQM$($((?szFuyYJ(G
zxrjQ+s=hTlJ6Z`({tNs4PI4_NaUj2-*;$hm?kk_;?^Z@-TZ@%>upHT8<M2HBt`>P_
zt#3cW4ONt_=@cI9l_!ObK5LnrrIDvTzmzt~r{K^2%R$XyisY|hLB9Qub;#Oab$)Bv
z)qGf0oh&P?On$g>mg`W5E_vzSsjm@hv{Cp}!y~9xg-mF@ak^k!kCg0@`Q@RfgGAw`
zFDIkb$j96GGiCbp$;>NHZcWPSA<%qin!`w)oat}x|59i`vIOeQep_z<Ck~qam3|Gf
zwPp9lOL~T+5W9K)i991PWE^nbcZy2p2rp4;4;Yex+b&5uuX4e;z;1`slorWGV}E+x
z&X7EmZZ#d$Y>qeVI$m57G_vyEg*|ys4aj@<Lz1#i(9!e5PGQ3h8kzQPSMSbpebUWt
zgIEQJ71&<Ztt<@E$giFpCHW3|B%bpT=@!;l>4=$-;MF1PDe+l?$8^Zk3F&fvn`~fy
zyDTtknMTU@>M=bm(<0x>ZPhxWZi_It>pPb!X(Yw#ZQP+X>g0t(R&~cd+QKPJU|)z8
zjZE0EvcpzInN+&`n(eHS9XkFF%s$l7CK=cj+`Kl*kq%L;<GMa}aMJ6ZdL2(CXZ@IX
zUTzm7{T6L}ce&c(Pk9SNMXm<<L-g-;?Pok>mHl6?b}2isy1QnKU7(O$ZSy$=(f<hN
zq<i0-t8B4L(o{u!qbdmn&iZe6J`&b!c?Dn1ZIK)K!Dr&15_w|mlx2#{1buznxrtvz
zHmKHvuG=F8QjbR1E6*`Na)Ql2QP2i||DGFucR-Fb@7OzhFk%h9zSy|MGu#>zoKD*;
zj!Ba#CB8;Z8@VC$dQL~F%?h7$Rt7D%i<8zn^KO>E;Db$rmYKSx6+-jk6QaX}Nh{7F
zX1_H8DERl;^mHMRV(fbBLmNN&_WP(A3n>7R*B;pxasW@N%P|)|F0yTp_=|grf-te|
ziA^%0W8q6~)+c6Ga%^yYd9H&X?7Cb!6|616)*w{BUtoo(3JT0|u@gk+xzV)fT^4ZU
z<TZ+<&JYrpEm{w%2qKymbRy@ZIg~f0ho>eF5Z-TUU&hP}AZc%S-Qf~57zciCc|dO>
zTxrzufO-MQ?XO(^JZg%q6vu-v^Xup_Gat;}W(Xj|F*38lz!VwtM`S5czv#nC>x050
z1W?YfBB_7D1Y`T^Pkfmjr5Ad&hj#20z}mVhr(@m5Sa;=e;|BF<da{^(fwh|eet$eE
z*==Kt@+GBErp`I~bi4RH@%;kG?y2MYQEUViwHr1iO8@9*t#_=GyDR{m>6RgOStGo-
zl6H67<<&W94VK)g6+nJt>o{+!A;j8i4juMl!rh}=uE&cA!r@OPSCxn%>Kmf2T$N^l
zu2e05%1J?dI4c}Gm|=iCMfQ>JuUXNlui|FQAcWXIDx66ws~$1O!p`Wi2HXl;l!a~z
z!7EbQ?pcLCt{gaQ$}zzX=PL;(4{R33EoauLaA$qEFdpx`be0p8pwmyD%81}SPh-UN
zA3fM}IS1y6aRZ5C<-6HLQB|+ebtqL2?l%6+{7-p6JIL$sjzbKiYA&{Bc6vx|vaD9z
z%ZG9@h&xnG9Q{YyQ%e_gaczD@V=|r}+qFcKo_I@uZR^Xc4i&n%=wlQR6E1*5%aJxS
z6_TKJZu%a7QWwrzw;C7x1#y1UHlbr0(jYUq!=;>bF<zeYZD79;vYzlKdsWFGf3C5r
zNL3e`UYZ6~L<ys0yx2I|R~C69jM@C$x@enw{-`ib1g9+v>CQLgV9ly*MqAQBMsA5#
zTZ1U#wtRo?aX}sv#rThBUI%ygGVPP(5yvi>TsNy&1@xQ?{P3Dt7h}R*wIV(e_+7l=
z)t>}KggWq_KP#h)p7mTTYu`)a?C-^{*&HRrpQstUyj~YYE|(5#+DqfM2=fgOLK)~0
z8PSZ<#hR~~7v6u7LBrOxv&r2m7z_FI`AL&5OiH9n*&<~zZ}fi67B)2;>&fcy*4G1b
zT+8{p*W_R!UGeA&g@QEMh8T~c)tqUX;GZ8R5Ahb2;GlKtsAU;2OEuL;k^b*aW>*C)
zS>B`4Rz2y}??9!8KlE{wxv7n`T+IasK7O&?u8AYZ5)ZZBG{E%3q(cW(m2mq&6kJSJ
zbDPhdlf@y1aG8&p72s8dijeQKLyJ_LQImWu=W2wfjInjL<I0ecP^kB~riByTk^xrR
zjPcE+cVz8b6^v{$Fdm-MLhZnQD=kkGh#oz%Z)cJ!#H%NlLzJ}fw0q+}#$%@7mQOSF
zaZrP0^nBw^K5eKmX(YAWG{fEe9TF)+YS7dy%dRWa!fD>C+nb41A0htRz5O5svr04`
z2|+C|JQq$5`e6YdLe|Fn3k4zkZx(`8sThC!IU#q-5`#_Q#%!xT_=jpfKQ^lYDff4~
z{ATDl#B}(Uo589lGTXOx$Eo9^@j(HGP=K@KUGE9XY9GUWaHwAm?_CXEy#5TRi&qqs
zPgCH)@@@xJLKSRlY=*K`tT6ICwj()}f<sZiK5W)jMv<R{!>q3r?9Uf}>lC73F)zaO
ztDzz~2Y6d&6Rp5-W#&*^kQ(|_E~eyK$ir8rej+d53bL+!!<X|^p_aX}pXbh66yy%e
z)IG4m4cXA$nXgq4!5#j=aYhnCLQWkoZ(1Q<Z%B5gQ5ior?O&OX69XA=OD*t(74|Tb
zp1ie6m}2l2H4PHRZLiyzlTKFPa_KncUb?!k61o8)cLlKXHyM0O#0u&?_M9^53Q({b
z$yyuCi{@<Kn~$0STK%0ExzqBP_H@e1u;au99;egmE&{%H&ZL$F%0azvP9gt28v-vM
zk9RT#-gob^6|Y>2Lk{yzN^{J3n#im0yPghlN9l(LOQm5HaxikKiV^NnLkG;I>5w;k
zxZmZqB%=QdOb%jWK-{Bi_lAQkVQG^l95E>l-V)2*`Zxa3hvK~7HomYxg38<W!&YMG
ziVIhGGqp(nbnWKy1|ADEFdQ+TD-}UCQ{r3?`y#zM?wjqYz2<0lefGA?Rv0T|I%Q7J
z7w9(<nqC@~nL$te(bU!jL6mQH{hm3sK<{AK-OR>q2K9$>cbA$3&|SZA>TuQ~{b(IS
zz%GANEDrH5i!}1%fFr#;K7Wbcs~N`{RcC@g*RAam4SZ0Nxh<8(yi5;DFZ!B7F@eD@
zAr?bZUX=763FW)DLjO24KHHRNjLS67z^DD(2$27=ZK;L<<>$vn)-4&~zDlRk<3=tx
z@tu0U^*=^Dms8_l4Kjk6t3!Z&KPR5IPyDQyWJ2tb*Ey0u4dLC?bhlWK6B!Xy`x-44
z*wq}qdVQxM_^3Q5txGu|728ny?hNZHk3x82TMckeJ}V-74+lj4#vcDR%!Z(&ZT5>h
z4A9Tt@hw-616nKTeb<87A*@5m;qB5#d`;!OFntcBP`I>(**PH}a<RF?Ums@#H?^O3
z=K!bvU#H<0T*%)T$8vU757g50jmgCv$mr$z!<N8<R`aPzYP=pKo;>^UQjrs$=gyku
zMe`wFM^Z{aMGw-~jyCucoWK^LNyWGPuwL2Dv;U1Q98#av*q-Ks=98+KZQTMm#$DKR
zEKnCbwYD!^{J62{YI}YQuMi%8P3*lTqKgTi^m{)J@t{uZBBQFaFdp`2Za03bgM@?T
z<p*<l;U_@3^|?R<)RsM`UYycF*8T4fJ}vS=^YIIDZ%Hvcv_AUt30((CwliKUFIVSV
zy5^eGU2*Jl>Wh1^MhDeYCb5)c0R${Xzgx1G#F5IL)cAH9QX1EhPA3FGhHU1!&moPH
zzu`}&AJb5GDQw`^aUl>v_nkNYmO;=;-icqSG^EX&`m9M7M!&=Pyv$#+=y-kdk@rO!
zT9jDM1Q8-&dUE@E&p$cvk6P8_#M0n$;tgjBix|XD-V8I6P(bR7s@#c08vIXHWjT3^
z!@Y<1dxf<k6d34=L?I2YlwbWzYL`Hl!RX69N0l(&;}DqMMuSD^`0{aoDSVyOJb&i7
zGTPHWzf%>}LHQd4vY1x}Ud~j8Pi(4K3Ug&t2+%=HS)|;?4{O1fYQIl%ry8ik@*~#G
zI{5MA?$*&QtM7f=-D<N!3dZ!Niww5u;$594UBFHr&o%7sE-a{HoqxLdiP2S#&(_SH
zu~I;=_>p5%(1bsO{|l!aJ@lJM+|#gC1lOsLy;qM=F~NSp{cxB*jQfcS-wjHuoPNGm
zFi{J<J2u|p^Dsd7!O7JAEy{TNbf)V0d2OVqmW+q*GsO2U^S3Xzsi2Rx@$6+)8e%C;
zmqucY@b%8%DOV>|SRAc2*AJ!P(Kjibi<QQBqg+)NZ>EMt%Mdo@>oiPws)nvGm|~%C
z;&zP)1^4AG2A`(Ta5yH$JjcZh?6XGm5^WR=g&qB77)S%dt@5UTVsq?tJ}p~vR2@8j
zoiBL^(V)@Vn5)HX36Fz`dZV-I(7U;N+b&scNNH49vpLey+_8K6w@n(DvYY(w@rsJk
z^Y-<>01W^9U2-y914h%VqNc){;ODf^b9xW(1vGXl1!<tkTKG<|;_5k>$4+$GS|P<z
z=g}Qq4OBH|3l98K#q)PN(nD5x5qwLWdZ=C<YTIm1&Xp;{%{SU)U}80&_sJiq)K-UM
zP)Hy1ZbgjLsoii=v_{uVbb>|@1&3>Vd(@cZ@mj{ux53OBCR5c#Z_lcsoI2vk7$JkQ
z+9tmX=GNHceMtE7QB~ZrOFeI|DuF7G_=0#<Yh+QJ-V3^_AoAJw&k|Z9sBo{%I=o^9
z5Appm<_gOAIc$?#m@a_$hu5mr-&&#PQS0b`-HP}bG&r!Oj~gGg6J4L3u|i3Gv<fX#
z0nxhJ?sbuCFrr<$m08yccdq~ZOm&rq-_6O`s(vPv);G;nbO50PNuupya`-kY_2aqY
zGF>|>?uX_{;8kj>d1tK*=&3FbiZ{>EAF=vuby*8Muw*TG5-tU9r<YsOil*pYYDQC+
zj?%&Yb+9nRRsxsHO@y_~{?KJk-w!?U)Dq?)w;wbZiNUxzW9_=T!*m;$)-m@<3vmAD
zn56A2f?$<(`BEtZ^qgGptqD37uy<398%z?yghu|vx_|xj?IsCD%;Dzf(Y(62c|ic{
z_KVXyZ}rptwGEDXSDE2+Liy}`96#;`cr%*eH{J81^d|vUGZY5VWt&g&;(mp@zI5pT
zJv~oGZIg>BqJKNec^Pm+M9=S;MZ*w%$EE5@&HE;Z?c}0p>u@5lMP%bA|51AT6_M6T
z1{3Vl^lUs3$_|!hH)C&;KlB8ZvfCr>#`x)P`ATer4d0jo4OoXK=njdGpOq6v*uJqY
zO(T~T^u)`V0k5X$uA5KlvZ)w>u~^2sJdp+Qi_tZ~&t~YJwJm$=6AkfjQ^d9D5@y_8
z`*Gw~!z{g2R^k5eiUB-BF130yFvGAkJi=yno?aHc@xA9^1B?m1-Q94U32K9-$HVAL
z^tXxbFQta{5%joP*iMcKx{P6y=W>_n)UZ$k;Z?p=2g>$s8fL`K$<yr($qeY)6GmJ2
zTMwRIjWJ~%jA+Xm{k)-<5yl@*?S6bf4?(>VVZ|eiIJvR!nVdZ{Ua0F`_L$ZM*TqdK
zb+SzGYdxKHjAX&M>R!7YXLO-_iR1lH7!z*H_=q)cX2S)!TmFTDx;VP;@3coB6Wl#=
zgnH-JfV1%2WW;?Pu<ckrLPRiwrz7i7VKoQ-ec8^?VXcD$WzTN@Q(-}fYU<lPce%hN
z_Ih-=n}%o(fz~~LS&$u=_rbfE2T!isKbJgDgKClJ_s~98cq`xh>ej`F|F{Q=L$qnY
z1=kjl88&EI{PJO!7QmUdJwYiiv{9pFDi^834v`?<#uuJ~NPk^nFR7vpfsg<mrsEvA
zwNNzDS}lYh{sVhmGPN)@mH*XmniB>3eX)VYB2fOr{Ain;7Q{%Qk>nI^Y|XK^zWz}Z
zjvJ2}?0!N;e?!2358Qdt6#UaA@Vq$k8TcfA@1TNvfzV~7tnQ~^i_4&gBpm9^{K~kg
zm~wpT&0#74YC`^=AvbA+Pu{j^_@aredrg82eFRbACT-1nVl7C{&dt%!G!a$oIQ2PC
z2x$h?#tJVvxP|4HohjAC#dac8nOOu1`Lzt=Y4UJXO0*bwtBES5QwgpoM3KzJ`}$Uo
z0wjGtA5>e`gs&z?TCkuv5*Ag8Y^{{wu=cvO{7x#=-_%Q}*Gb@okh8|~5@l?R%8nN4
zph7&3OL#I>3T?46^Sm@w><nHLlzmYPQg4oPKDZ!*8>a7@9ABt`H!c6s?fu%AxGItw
zpR($Q4v*QLoz?M+L2AbZIt}3qLmQ*N%V9UMi{Zkc268=WU;7Wx(0R;wKw(857YdrM
zkkM2`tV|ASmFi&N`<4YWbwwO7FL=elstx;q3%{P+)P?YqPj9*1m7p-qrLxJChO=Wn
zo+<@;DBRD%yK+q#LtK+`V?SuCx&LP4tFQXt`YGt1@J<EW>UTGL2I*j#CuJp4(-2I-
z<tONis(7RB?<C%?0~fzHOgC>C;XB_xr~9%Lw4d2)azIKK-v{F4k~B=9{I|5^3QZk+
zxgUb1wROQTJ$gOoy(zMDz70vKXn^ro#V2MST?G3q=uJkM!@9+>#%xXlnzG#4Z%cGw
zY^1)URM`>}TV6*o-PXjtfpcdQ#B~ssG4?CHjt;41<~{=<D*BW-xZ>?-_^`u9!8IR9
z+){V0-H8f$3G#hnlotG@*j>_gTCMuBhf=X46_FhenngG?!E({FZPzNN0``nCX7f;S
z)x7fN3ug+nGi1hjg01mzd{LkEswQ%Now7T8Kn2>G`DdQgTVp)Pw)#$s2CnZpvgPYR
zMTBR})NnD|fP6pLf1*bn$w9~N{yi>-JT<YlbZHxSu_&B7T|)seG&8i*UJCyM00960
z3|DtJ)?XC2_jv7<_1a$EVejv;rBoV5lu{%`rH}|oiX;?2%1o3fQX!4+m7T06iR?}G
z9zTEH^PK10&wZYAKf|3T(C3_pIe6^5Ojrz3hLhj>68EnNLCjU<&994Q&|3KX@hra*
zgztQk&a1=+FB2jc+di7XqRoJCb+Q6Tru(~|sbvRq3;Pdk7tJ8+klsaK9(k~-mN}qu
zh5=G3f~{on?f#bJN%III_`eMw%?Mb=C_a}==H8e>6aDMXhbuC$+mX+uBWD7$N`Dpi
z#MTt%%G$d2El7b`Y1U7rv35+=)kM*#6F`-3bFx`*2hb7ug_+yk@Z<nUK)1h0Mh6ye
zfVPbavc0nyG_F;AS8e=?7e_D3CeL7CBea!nSuYF%wdFkBEIqhv&rAIrJ`6<u?ABHC
z5QL$XW9wsH1NhDF_YCK>O~9i)qNj$&55w%2mU)+k@cl72JRZ3j!~9ZeQ9PLdM`(Qk
z`GgUC?316y{<}uNl<WAX;tdzvuo$|1kZlBaa@(7;tHu!ivoEnY=*<pVhw8&c<cINz
z#lG<e^oAhc8H7I%V1en=3k120LHtqv@E3Ut1E}vV_kHn$5!hehf@8V;IK5Wl@zPj*
z$oTN^W$86~uyxG3e(ZQJKAU3VMCjCm{XUT|YDPD)B_Bo8$Uj~9ohtA6DY72CpApXq
z+rNfs)jW(#t!>8->3Y#|-_nIEu5`zSY0KEY`NShNkG|n~go<p{AsyIkpY$vXS-|%6
zS^YKOZ^Hj%F>Y||)PZacJ0El9IqXZ4W$`0{DxBfqpU(ls+TghImN7|n26GY^sB5Yy
z!AJBkI-?!hP~lbgWo3Q}qYEd@Ew_=dp+)yd^;j(^zrg-YM|uLw_UGF`loE_odAx#1
zrv+^yebnmeQLO);+3wYjN{nb4x4Iap3I6Q`aWd`0n6wf1u2hH5Sm{_JSM;35_IslQ
zoa}}${?84L2kqK0g3R#q3O^0#TK5l_5gWw%(uU}J5C6axmRID@FVKK4x=6TPYXEyN
zJAMv#?ZB$sK8@WCrh&b$dx}MJKjzmvkP_nBg%xs+yE8D;pq}-)daiCic7?|<Yez{B
zcHxj!-pd3ktfe168zs<>707%YvBLW>y}&!J(Xv$FAC-5!s?d*p7$5v$+&O?fqj#{G
z^rC<eDV0yayC2JU#p+&j4rA<x;<#JylOeBIKCz^`AG@wvn|9w}6iW!i<{s3l15fx$
zRLZphteo`Gnc>qo)_F|tD|J&1yaVatYU~HGONkO2UI(YJQa*;vKtnay=v{7}-7|y<
zznoz=kD11NKN-Jp3MGM#l+W6&pkZu<bH~B=OtY9?`)j_+T2)|WkSI?5I)YJu@ynl1
zpTk5ahX{`ZRpDHe1-a8@4C}SEUpeTsfXOm)RnDAJf$lZiV|gMI7@Jz-iFW-ZZ0kW|
zWdTx#kzaNaOKelvuKbJC$5ty?ZIheAS1D!C{=3h*Ol%sP)|7B-y1s_#n#aWYMkqn;
zjnt6>yBTci0_jJ`;s$11`6m3{xFW<^wHp6=G>bXR40R3dr-P==5z(WE6(Qxxvvh$S
z^H>?xsw}OM9vnV(EiW}IK%~5aT>AS3tl+!Ch}>yL7*>7xK6R%8{H`jj6S=j7O`hL$
z_oOhxo--E1cRtI**?Z@#lOtBJFLzbn<r7&U|9!lV)_!@=6T4fSUA%@>N96S+S+m2p
zJA)f6y>jqVx$wNH$R^fB&Ez-C;RI)1ZKaGrImjw|-%5X!4s?DcToE?pfl)W!m@;8G
zm^HbO9`ThP-WNL_iishBOXx{6W1I+U%e6m4&N4#3QP$;p34Z9EW%{_sj|c;M327<Y
z_^SJ&*q?qEfHYB(?k*Y;_6LSXHcPX@jZb?_E6RnSW#k@5_l7J?WChKiGG&KD!ErUO
z8%3b1G+2WBw=7KB;a%$~oX{N7$#a}f93~GIoZeY43z<wu8+=GSaME!+<ocZ*ki&hg
z_gbSYC=FFQPJ|M``LFNsGIMG04K^~;8<qvu&38^!9Q+`5<+go>ge+)u*ZKb^O@x}v
zY}t`_0>I@~d(rs~5i<0m|HcFn;r{g!m(}}1a3u9_P4_u@C{gd*@qLvDM}Ay*cRob~
z@=6jjEq5tGu4bpL<TE+=+PcTeuU-s(1Vr;@SSiECR{=%FyYldg?)J||iaTJ}$UeRV
zH&v)h%ar3QQGmM_c-?zmNdd`ENN6%a4dmA2m7eTS0*$9XPcN0p00(Y(MdlY7X0tym
zeP~yPVXN~=x73KxDegV;Es+W#T6_vur&XagF;lbtjT|sD7Vw*t(_nwv-?#UC)PZ8*
zKb^Wy0rrU6TI~9!0gVUzXNYRlZN5G9#(7y0p6{-XI@qBJ>*W(y1UhM8SRBljnzy~z
z(sKc6AGY~xUMbwPS`%hhCO9VctAcj6&RE_BZD1-?cxyeV4KHfr4*r-W!IPGAwe#C&
zmwAJpMqND!srmN2FGwBo%RQO2Id#C*`b*izVgtBS&*8=On+%-7Fa8_;rVXDR?epot
z7${8%BQypo6!=r$?a|SOo(@gUf>sQif)CWQ`BQ;={i@ALvKHKa70fNFU<$S3`F9#V
zQo(8UBdZs#0n1fm?&O_ja7jy3mi;#sI&uvs6X&TwE~~xAY-0|Zp_yo36&2{CIEl1M
zb(ol_5aAH9fV8Dv^@JcQNR4HiHt4DV5<q8XUs%9o!OgPVbqWOhntS^Cx;#7?>sY_b
zWeK9uq#{ZI8EOOF52ut$LkRVO&l1%VDE&G2Mmf|W^wjfw-7aBBtohlqDPswtSG|kI
zR7o&Sc44_5%MCc6<!7S-3%EZz8`dVF0)N>E!f)?vVjn+>aeldO0nXwND^5)*g2ixF
zn)8o#jB&A5NrK%19w@mugqFxdByW0hal<%n(Wr2BCBz*1FZMTx2N1z^-R30M@&+DN
zH$A#CWCkxTUF}`9kO8$+IYNgfGkTNAny+GK2J@9QnT`8)K<6E)TMvJ+qp9b-t{ksT
z;rCtxS-(A^P`&BZPp`s_$}Fl+mP?t!`D=%WhOvUc)ja-O$cq;-MIL5Vz6-Exv8y|e
zmk-Jgiwv}%BA~=j$3ZU^0Iw9SJh4(vV5>OM(cVBn&r%dpKeJ=-I=cVhjX%s_!(jN3
zG)+L4bWQ(IgiOHLqx!3N934pW{$4hmBp{FZw$o?H#y}pG(RdfVg!L<K-Q;N{pnJc<
z95N3Y!L0w^X~jR2n1Rs^ufoR!R6tNztcx;)@vg~ai(h}RomTh!lP(d^%_#1XzA6KN
zv1@})!--fz3)z=!O+ZE%{lprF0nACxI2ot@!e3Za$|w*CsLbbCg|3S}#Bx<U6B{4G
z!`YV<>)8qD!S4fs?XUEJzv%Y_A#fV+e0QbQo}PdPa<Yp}1oa?`FHFC0a~?0z;aXJW
zBp@EAK$nqVT?kox$uuIpf@dj||Km_0Abw7xYTq#(I5tOp)H=S7U&!_(*t!x>O`NV&
zq?-;TeRlVZ)TcvJE$v&Kx!e7>ND?!@wZV%ayV|Xf9{v4&lN83nhvc`oJ}0_rL(o!C
zP*5NvisS5eZ4Tu_55uFood&ePC?oBL=@t_@c_qcso|hjbtMHw-@Y4c6Eo;fgVJxUZ
z@qk`*IX}AG?xT5%MGItnHNFdNvLb$=KKYd^0;t+gj?|x}3FEt@7c;}yQLC~-1<6qm
z9buBI8#C2}VU4o$6KtHwF?{pd8#^K7!RYN>IjRAyM9rps8C-}}(dnU<n=q=(ncww3
zMFXzzCO7;t=RxUNNtt%BBB+L<{=|H*23RH=k#=tIqGgi#tK1)=s3lf}{GD3^c<(U2
z78xd>^0d46It;}TEpcBV-47b{NERNO{KJP{ea&#ZfJ-3iAMToqx!XP`A1^8H<wy0K
z8aG;xNuuZ0!bLM-H24|C&DXprfDSMJ$4r!wMsCx2b<Q3%Sf=vayDKS#s7fUtGec#N
z$k0ID69*cE#GA^AI0_?kOV!$jU|E#<$<J~AAPw4acTtDOB53PFh|O9Q5ea9sXJ0x_
zgTw9xtMn{lXh&|sU$aa(R5UmleEBL3_R)7!qe8?HXTX2X237KiSnhk<^BD~)Grk|6
zW!-_~6)#FnPAi~z^Q^izqcq5%%M2WRB8d{cu;up(O6dBnvx)si8t_x!!_(hI8U=Z^
z{AYDk8Hr7brFrCPz`gQ^f-&*ixW!|}tdmvHk1y<>ljSubP4Ctj{cYUy*+&d+*Q=s^
z0`g%Q?=*pX@()qtED>p^GjVlJk&swc;fnnkE%0!7Q*!LM9I8x<%VA_tM+S7c+ypIc
z=wm5XRB@6=`pk!#hF8>)<>`!LDMC6>Tq@Y>W~YEG!ops^Xd<KFk61ttk1mu5uKu(!
zRzwmGQ_Z}WD2Q$6Q}Z!NJs9)mDaw>nLh{--zvKNBG#8r_n2qVfRLei!f;A<y!^Mqd
zi=B$hf|+}3&KZETs%O6|QbuoSlFNo06m(Sh$JFRkL(o}M-5GvX1&uxko&TCjLEraD
zy}mtQ1Q$%jPt32XAWicG#y3M`G;S&KVYh?{T&75=&3LLJL%%z7bOY*WgfqivrzHk%
z<!cx03sup1%i-c<Not6eZ?|Qk4&a`5(y+5m6{WC8Gwom?p#u(G;Z^wn_Q`)cLd#Uq
z-Ul4hU$s<F-fNk)AA+WEP^+H(#uZgGLfeq+F;GIYr-EyT&X|Iir~zFbpDH3UT=?WC
zr+|pKLM8Ux6cVcfR+z(7kVq?wO2{S=@dq#rO1GOr{JCOlky>RG9WS4Azf%S+?0QIi
zJ7Ef0UO`SC<4WkQfVS;Yf+P~{3Y8Pxt_$NkX7<c0qL!5W+RR)rH1vLbe)ZS({M~<o
z%Z3zCLj2@68D?SRos>|JUSbN%awV6`>gCae<?or_Kk%dRiyy)xLrp<6|BdW{EIG8X
zGRCM@#Ebp~vrX<aF@;AJJFggBBqD=bfokc`I1tanRD1t<fHSGXO*vMw=n46*ar_w;
z6e22d(=`X+n~_Ach_nofbzS$>8)ZNyq?&Ak9l*mviuE9!6w=5sp0yUHLniO_L-L0(
zAfuE6MV%7pw~c6mP0bp9?ZdAueF_F<riY8pd=o>n+D6sSgO>5wIwyPi028QEV3aHv
z7eOy?5i5@=F5-921g`0PFa`mW@7muKg^{0`+I=j49%ne<dAy0)7(6^M1FI-Ol-&#0
zZuiaM-IIs92KO1kqW8ZSu^ihxu+VRm@n#NRzjgbbR;D5NMx<(mzT!ib+T!+B?DIII
zi^5H<83PFWcdq?ZI012Yx8Lclo5!u2hQ)NO4M0<rKmJG$58|%=YPR$50^Y_cFyx)B
z5AwN*Z@L(`(efb2t}Ix>{S=sF|841Q@2%+_6%S4{cfE5jZ_hIRHF)2zR(Cx(sdGVR
zgpmUo3+A7{{CX8HE?svM`m76WA6t`4I@wUwdQ7Ww**adO`tQUCZC%K@nrcTKWkvRj
zY`(Gmo4CC|TytHn4%{!@awn^>BCk(EQ5PT5p&#Whr!~cOKrlcmsW^oN?b}lCWpAfP
zqWBSh#(Ub3?pPzSsl|ell_nN)l^D_F*@7H>f;Nm2iVB~tF(a3Su7=eZCbT(Qt<jU9
z1&>Y%`=^aDqe}<R-85okL2Qr3ESN;KK;T1F9xojW`l4Q##FNO19%k~$y?vw!la3P7
zDF!SkyRItfl0G{k`Dwlv)zE}xH;?~hQ&~{lW>ZVe8V5RaRXxt4Rs)JU7|N!^S&>_x
z^zBETT&O(k=Q~d~4N%j2Yx^J0isU&*K8<zqAV^WRd9|_4!`C0TFyCZDI#)WHeuoi|
z6Vdqk>1-OT)rFkBbb%c`rQ^CRpUa1`+LB)Uu%$t8%>HAi!#L2lCkJ=j`pb`AJ@4q+
zze)wtPqW`8FFBE6HQQ!ARS*$g{1CA#rUGBzF)?>`Zq#%1_L-LtgizG?dvDEss4(&%
zH>2hz54!e=7Rezkf||b{5dT7>!l#1Id^8aPTI7A7m4J()pHfCYls72bzAtj=(iQ=k
z6;0=jT@^>CV!N+5J*7a6&^$xx1|M4VCj`d1>_Bx-ild#j^YS#~w_S<+0!X<t?$&E(
zDYW)vIjqN+0-t&=&N*U&2#MLdJT#I)_85t&mP7%zn9x)0kwWNZTa=jY5m_Ws%e$vs
zivn7#!VBa5!l+L%Z*OEA5g9!qHkY|j;Dtw>oW&7Q^zdVm;aH0t^4VSbT<9?c8f$`f
zJI;uqxJf=WGZ_VRsi)bojExH3;>u&zSrSO+jQz9MR~1nrYgSFm0V-IkzQO8FOQMEe
z@s`9vC6wN@XyEjQ3cciY<+<I`s6dBXP5qz>Ds|;eJ4~U$=c9&CMIOtb-4F2AXVt1m
z!TC#gOBD^;>?G~37RsV-b<ZOMR5kRkD!DN9k_IHZpV#jFKtv}>ZhW>$P)9dpN_PA-
z(*)O{7K_dwa%f1i#r@kKGTO4c<zGh80!!!I_I)$*h~;MsTO1P=h2IzaV`Qie3^566
zo?MEkdEqXX)eR~tT_Y%5KB)uyq9^xUCMqGiyj>@bjZu+q`@!e5d|j~iKbI&+Rz{2U
zNudeqG!(%tH}Zm6AH2I?o<FRjg7{~{5C68IA^W5Zt=pFjfbKxBTs*fbiubx^%c4s|
zG2*kFMN@`ATse`o{7n^oJd!P|GfzdLPS1odoG}LW03v&rKM9fODAQh{RFs=xx^uM0
z1QMp+>C;V;&_t4NdS?Lzy@@a_H6(7^Rd3hRoLXvV+NtuS{hB(;`}{Amq6VPrN&Vv`
zD>ZcdnyEWwk%XErtLe}=n8Nhwo7$)3)KH?9XQgD}Hr|#*j{as-_$3^a+*eORLHBn>
zyHJ&oF}si5A$2oQ^ffO0r?*`nwp}w$kw^9cZxqtcnStQ_5XG$kRg{<c`%>_VEHWVZ
zOnWAofsb2-l*TO;<YDQm%G4%>E(FPZFU~XrG)`*V@>50vm9mj4Q({P)v&AVX-VDSK
ztI5}yZ0mk@C)W#4Ar$-|gNN>n8HDrbjycaMAamKbNkx13kY(V7>&_ZxFlA^MduJQR
zs)C%1-APU)n62EcGiD06{2eknwdGJOSL9VY5;L+QidqXNn*u|xM2pB*S=81#U3R*A
z3-8!#Bd)G*3N+u%2;++~$e(iZ)-S6ioPXiPq|Hx&SaK-#)JO_-H@c@5pPt53S3gEn
zo&z{g>o(Z*LIN4JNoK6jhVY8QRj$jd0Iw=LSj5c5(DeJ+0M9#r@MxTL6gS48>n+|e
zvmuP?Yi7QhA8EsD!!DHw`<lSVQrF+=eS%0$y}1=vuf`=O^SXkwjiGKpx^?FaKl-q%
zEB=gTIbKW&Tbyq<f_^$W)5jz}wEeNFH4;nkqhS%!ib6)vEh-q}Bg>2UodxecIr0WC
zc0VX{#=#I)I(0Yin{4~)plhO|jUVwjsfD8xX$CNMr!U>EfE^j`qhKG3YVj47J1#{d
z`au8Xp7zBPtmskp;e<QWE%>AJ|B-U^^?|l2;N<7dj5_z-Qj>Q0f!oEdr{v$&g9zf)
z@vt05#GgOzu4LMY&l!ftr;q8v2Zf-V8d(NJN%HZC{@jC8;7X{YtuDk|H7|>7r$c`?
zmOl4O4B)@jH;KhBbRfeh`oyuQE!?lOxxfGRFz%-N&Mrbk2Yes9ouGTSfqOP|p_4-6
zcmQj2M?s`EOnPn=Z(6P65!&8USm_jA^X0M{&!QIi{tPE5$*tj6n|R)x)Sbca88Ugr
zZTr>TqD7s|J6CaeyY$UsnK}H7Fk^twpeD#Eyz`hSS-~Ax6L0f~E#Qm)h118oYXbS{
zwCs$_3chzY>M)X9!VQeST$t+D0H1#5>IrNG_n+i5PcmD<8-oRA<WFnB?^h?C{kQw^
zTgs%xD{J^OkKIwESsMKLKCaSUu!0M<3CO%|-M~3B3#~UpX^_cD$0R^m#k2OMG26(~
zA(`HS{B&L#)Q|`Kn)+99rFOij{USX&pC>lO^Oy>8$@fh5H>}~^J#-0QI~b62|3Im$
z5fxlg8H1w#uH(U{0|dy<Oz7Hc&uf&I6!5Yiv6xfb#2x1T(u*!Iqc2NG?-$LG0TnEt
z&B@xroz`7PW{X*onBt&IkO3LeCo+enp3tG-lT-fA@$6_!K>6(7+v;#5GN*PWg&xs2
zP@c&A$BEwlHaKBBqz0rfht9zh2J~i6&k5%SZqzvX>Y0(P8l*0qdXn^w5nT<jk9aCX
zKpirwgAU~+IDLe|*(1%2rsJM*)*s_TvTJ9hj?hT(;>dCSopCJa=D=a=Gxhw4bua%<
zqf%9%79Pnplx0Kvb>>t!_6j1}Fz1?pjVds(PY)jNWJjv?$e+9<gc3b{#`Q*2K)U4G
zt8APTDaN{4dRK{{@{r~0<|!)hGuOplq>UTh*x=o1TPlXu!u^d!4y!=p?h~a^+xgtV
z$j0C7s|0E(%fqH9D)6rRN8M!$J`{iSaQZzlDdh3Zh~lwB1!VbcMr9xJBYMGcVL@vd
z<fSjN^CnRRtljQWfL9PbR==@UlCqtj;%fzdTdF{z_fk~&BO#<_#Cl?dUJkixUWz#t
zqXJYEpWy8vg1#?~;jbg)(ekS-iJEy8n6p|BvQiU6K8<gGZHg%(<D$n3LNTf!)1Y{F
zO<n>m%od8U)G8tVriYbVdr1(L!xJ+El4v!@<@%TFD(Lzw+pCP-YQWa#kdhZBjVhKH
zqPzEykh=!c9>*wkFv3huPXCiZ{VYB!OtR`IzV(V#8Y2Zt6I#euDMZwBI)l7CLq<%G
zo(I`@P+{Q28G6qUIi!28nsC>Jibey1crDJ;0AGk$eELluDK_43DW=hoc;=?V^T!%+
zwB>6zg{Fv39ZD~GFh@gnO{-zM7_~rCS6J@lT_toSR{Yc16b<x<f1}Cfwl>UN_H)e`
zQAUg-b=+5lHBkUB%aJ$wx}c-l)2OVaiV7>*mj0a3M1w}L-v!zAVW6|o?&N6_`qNN)
zT_jKwaa58GdA9xbvi2SA_)s;ZwD+Wttc@lzR@b}jJY)o%tOaY)r`6H(37s_eHVq_k
zY~%-XrwQ;F-2U&B3>mRf{HiMm8t93I_4Iu=fZgNAO(+k@$awLUzXcl&wRY6q*#c7-
zoVUzQZ6Tv0e2v88S1HJCC3G>5-3$nHZ+L6okx?wPbV_XB?^h>zF{H!{7}jsT{oqPQ
zM?(iMjZ;)mn){6(G#zu0v;26f>XkZLS7C4VeyxCphmQ-qO)v+|1Nj(MqlTWID2zHn
zCZdsh8B2lH=5Q!>NYOimgcSNm40=K&k=(bsa^+TYILyFws6<B<k<2f=Wuq5C1sXBU
ze&yy6r#N4_{7e~L{A%m_Lx2x?-{cBB6k!f0>^t*6(J7&2Z&r<Gk64kZ@gwf*n%nb_
zwCuQIu7ExV<@jz&Zs2rPoO>JE%)sHcjcm(RIi&Z>hPwfc<9&1`FH_ykz_R5cgXLRU
zlu}~cVf(8TH_Rl8Rc!05%Li?pjx}kNzW4Mb^JoutuF<<?hp#EbP}ytZ9`8U|%a0gT
zc&D+?t;>(w{{eJvc*!LPh@oRSFA_~&EnpA!Fx}Vn1ISfLlU%thj5MBTHqE?T!Mv`H
zk3F8mU|C8#U87h4IWjtO?s8hkqUjGSo!l@1n~vA{ccu7{WCx}F<irN%YwdEpN6-X(
zNY1)S(cI{PUQab^;U+d8buHwXmND!VC|)WuV@GY5S&+q-P3&lf$K^iPZQXqSVx!iB
z8U0pIwk-?V#HQ71KODVd2;Z`MACFJaqp(IQL9Js0TY7S=u%X5P%>H^RNabwcm;dE+
z2eWNp(?-HArOXCUup&3MBD#!QpKDRQB)yLDuqipd+^rA2R4MMGYIFD$YxAxK>Kb;S
zw(^4I13j?FtTob2o5VL;tsairu3|_etDSjD7Y>Exk#2Mk;#INARdttFFru&S$2e<U
zpf7)PBa68k-(NnLd+XCOmfg~^5S6C`UIvYlE}d=o<@en;#mURq-I1luOb#93A~D|m
ztok0mZ2fum4ZehRtRFm+bWs~_{T<Ya?R$)2CSMQOURlC|a?55(y;=}_JW!82wif#%
zeJ`!uZ3#QmdDEMEKnrX`Q!Ggm-!Rj)QIn4smayd49#sJinlMC45#cudjonzC`7~R+
zgf%Zl%5<1(Lbu$GUw_Z`V7nr?xDBM1v5*K}0o_j;aAnuPASI$7^LV+WV^^_^{T;5{
zxMZOL{sp@^ihPGKDtS--+Km;A_RS+Z_%jWD4n1W!g^gl<3Xdl(BUZ8As?}EAgEaWZ
z@Oifj-2|qtkR5ulcn#aBUb^c+FBNPHLQlSYKZQLewiU?pZ(zj&vhV)$qrz0@3%RrS
zG?r^pa^-mbCKkJ;@m-mf3hg4IUXIGMSc*>*@qiH>{L?(4lVn1HpFzJ4d{3Xlm|lfD
z2b$7D`fjh}4SzDkZDHRp%P(MF*Lyzv^<aS6168#tuhrpy00030{|uLRSj}%3#@l<(
z(>|>;I?dDRwEI3ysSt_=B0Gh)iV*qH($LaCib_O@B+g6H9?}+Vm4>zk_3PjJy{_lE
zo<H9E{@g83Pj%FwWsIRMSD5;Q6_~>ARa{w9hgG@u1Lnai*q@_s?)(vBhp8K>O5eAs
zg9l4TpRdCjcBUt$KR=fPHV@p-8qK7@!vnEZOxAy~0Bn4F!9gyNy#Mpa$f_D}6b4zo
zKfZyTDp()fVaWrcnE~ewJ=9?3ih^plD-(Fa9NpTL58Aw{P9JI_L&Hsf8^OEGFjG_N
zo%T=wF4f(YowOoD&<=<9JC|8tAeGnIIY|gE@Mlck{Y(OIubheYWrM1sUeSyNVTkd?
zk@oH-K}@8q{iFZ~>=m?KPzn?UuXD3k)uxExxPvZS^@S6%aXLqnrN!a9Pfek3A`#X&
z3Er9SxM9gMpH%i!0+e0A=G`_T=o&8tP&;{{*WN64Pah5vl8oqc{6q-X3EqEJK>*eo
zd^QX=q(Q<}8rv~OfZ98M+KYDzfyA}dbK<+?;OMT$1EHM+`2LzYC|M{Bi-+$7?fs$v
zRTjSlGJg=@jcK$6r-~@ZU60rwY^ewvUNh=$tV9q_sXh_?UJRr=|LeS4t^~4P`sRza
zL<q>`lfDxs0Y+~B%1v!mU@3E~#_lB%(y;&Pdk)|ro-13wcTN@F+}L3Jv?IaG4a(cM
zN2OslN6>Dgln4&1nF%W*WN1mLdn}e93qtpP#<RqbfhKH6vlCSVLVwIfwo!Sw!hf=~
zERX{1q>OC&y%bohAWH5p#zW9kdd-HH2DG{owEy&|1Abz&dGVhjbkb(eUp%S>+(oi=
z^kPjIe-aWLct9DhPtJIX7ivQ^sNtHtwc+mU{MES{70~%G{PA|G4jd@^6onP*z{&HH
zoQ@_0ur80cdgDulm#ez(!tlDV@})ObcI!TSo&cuTn!3P1D!uy=4Rpz$4ttTvP}6uI
zIk8F?@ay;F55~};ul&=M=6E$2$?r-1tU`m_Mb$p)WdraW<9c{;m;&J}sl}q(Xz*+E
zH%Tqt2yE|I(Bs85;7l7XF&$5Xcj;&B`AbdUec=VxTQZtZO)h;WTc``-nQMOgyUl=z
zIeb~0&;<3C1%|@_6`p9&Y*vB*as`v(jt6OhRCm*XrcXLR8+`l5@Vq&svq}6@DA$5a
zSM9ruL)viQZ=$x}P783^dy%SFpamv5hxbqdHK0ScTYd+(B^W9Pnh0;x0wuv7L9;e8
zEOfB*MBKFmb#L>C?}?h=*T`nmwyp{(<jb}fHY{OpMDvc&1PySTwz(Q2tptDa1Iwal
zR&cH8FJ0VT9VS|v1CQm)LgtzM?E_|3aJgW)>}<UnY_gez5E8{<S$3D&l%f@g+0R{>
zks(7wOny_ol>mq^6;(VLwgl2AW6LKFM38Vv73!K{fuQ%Pqd%f7A^)jF(v8!qP(plJ
zmU(d=JNV8;)<ND9G~M}51%xXDNN4VuRII}0o*5H#b1gtDy)$?<SrH!nRLg189%VF=
zua7J!TEJDl&)YuwD!{(t&o0EOMMj<cbC;hP<{-*NWwGs(0gO1m*%|nkK@*)h>MCvy
zZ}Li+#shJH$H=?+xtP(?KWU>U@c^stx9)zj76(Bl$L!@lEU2qUI{2I*05R5DljJA@
zy?2IvPte&ALsx%;s*1rmqos&t4ME^u58e^+iw)VFvtHP)X9g-9s+R+4JfJjS|J{nt
zj<hOnuKVsXh05*M@*1DB!}dn9PSBP<Fv`%l<!=J}49ebo%3_9<%7c!pEbQp}z(F(e
z17m<cGEX!o*0G<p%RaWnY$z(-*r}$=2(pKZdgtAiu)htb`Pl8*5Lv2Bs9wSda@v=X
z8q;sAgI9AtYKRq;%nmQ79yEmR4~Iib;zqDq&u?vEmswF1EtGQqi2*nc@^Yz$cVhkx
zt6K|M(R|8rng^2s$oA_VkGu35EA>&le0G!t#onZI9C6o&(^Z63#>NN6M#;)0vvL-c
zWYzCxUP%XuT6R$@_fE#}May?}xh!a9{5j_nB|7BEC2wz`4>BlmKaaRQWkG44Y+v@p
z>4A0Xu}kA+KN;LvBS#*7WkJoOU4lHDG?<woAI+_rWRwktN6g|_(KWeWhmr$mU{id@
z_>}Q1qvJr-n;qe-C_~f!+}9ahkWM()M)#X%wBTB-AG5Kc)5$-?^L=!|v%V<%*X>0{
zqrust;UYFvBq(@ybCwDZOsRRkS<8&hBa;tSg4vPGc%*If1uD#kmi`rfxWXu@Pkg_A
zf&-O}PHq=sr@|WfpXSy4HO5&>k8-UrPLwnFy0R`=2U<S6WURmZ%jn_UUoP;93(Z^W
z33F0(U|{cK7x$J8hV&f^vprHgXogz%`1>bqc%`*hTJkazQsLzvUU|feX0#Y3-bb~;
zvHrIC=tE{ydDW0;cZ45R`8gf>!J!QmE-Gd^JuGOw?ZLioJ3(X`wc|$HAuUKbHonZG
z#D<0+{MCU{A#`MP)G@b06XLuiH?Le}M?$(QZ%V%jqZ)A@!#+h#xGvV}_IQm08LW@D
zgyKcfBZ))p+mkiG&iwsSW;_=%Q`NbD;+h!B$%q^t+w!k^cY4fi8y<AMjc?)*hXiWM
z5$+huRfoZggC*}2_)tGhFw5nMB;pyHmc4JO4%?16-wsj`K=Vxjzik7gP$_$?%jX3O
zn6&V?MXLxQgZIwuqDN)W*|-f=o7WT=zAf{L$x#>$Yx^|>gvcQ!+mZ`M<0)V`MsBE2
z5<yeE%4q}T3P}0%M*+rF3M@+R2#=c+MI?`IbuD2<<d<;L*CUPs)m>+Od%eWbO6w^K
z#a#)lbA@M@zo7s_U6>@vEQu7(|93*ILK!9W<%+)GR0qGlEBbzAIFwuKlk1_OiV_JI
z{c<j<gHHKkUe!%$RMq0rU|LE*?4O!k_R49%oHO~6cbF`Kl$&&`?IiRm;)B!Jj0Wg>
zMssP!$|D`_y1q}7WVHM-PUXY0CZyZGjR`-5N0);nvmYf>khDMUG+9m?NVSJlk6c$o
zRX*QXNuYr^Z|@H})2|IB-z_+jUMV5@#G6h9Lz+m-cG@s_%kRY&d3*BamC>?{_qwH_
zHnMdF1EFRrXnk13+3BgGQ)F(vm^p1E{ODqe+&^7V<rNL2g%Xf7so7^NQ3o-ybl7+9
z)`PYOTG4!!L}YWsvU0CD6&3ey%9qvBAuT-Zm)9Z*3D4KRJ$s&t{<D7d*W1GYel_d&
zPsyku_3Zjne>144A)?};y`T|v=-7%LQ==fc7^SL|cq&SI=+(w(F$SBjuBrq{bwpZx
zrW<NYMN2N*o=ha0LThww(#0Ni^w#L?i~UFkU6|DC*>u97@iND<)@cotaIs{7cSRdr
z?W^j%b{XI(-kYq<&_J14zW$V-T1Zv>>-k9wb2vRTU^CsJfx=z-@9y)}K;rC7(TX$X
zkl_0I^}#|76mmsZvGkD|diLX4W<l6i4$|5woyHo74=vM=-zOsN$TK7N#w@^Ad4qN)
zMjf5H`_6htm<p1JGBDuL-pZp~ALZ)%6eRY6`_fq_MU<odeq_?g5}uh0?yJ76hKwbz
zAN(C7i=282J7ioeVOBJ?`kxLNDHBvPGg~Ck%@<tl<0h7XpVImu@PUXvd`<UxmMDxy
zWUPqyIW3{J|L|EReFEZpJhG<Q&5ahckGb-{vjBN?X1Xv-1w{;fd&bekjIuA(KjQGT
z0A9x-KcfvLl&^3=B$IcU(ePLBhse4)^vdN4bsknkt18A1Cfi3Ds(f{=8ZqW@weMEj
z*E9u$tJ4tpPD6|xHGf13aa(yu-Dj*6D~kjgF1AVre8nWG#bs&_0o2onf~k+C5XUTD
z*pPDs^I4x<eX0R)Xs@fD_Ot}5FJj}=^qj=zh$H$|{umhlif)uXDuy22@49iEFpCKp
zJ4*b!Z3g(}v=d^yBIy2C)mWK(bJ#m;=jDnLQwZK0_4`zVAo@I9+^Oa`kFg8;-y-yx
zKz4oD!m|-xbT&q{-uvWMzUP>xU*|J{9H|TPt%tZ!M$+QXa^88&RW(Me)6y6eHUu}#
z^w^Qp%G+;y56)p+J#kNGuNr}83H@q_Ckx6m^$>~=n#CMWWG}>jHUyD|ud%gglfkKy
zA;;A-gWb4H5IQMr2y(8`tEAoQj3*~9|G9Z@3iG~`?5N;r0CGnHrbJKwVLX+dxvcK?
z3(K|sbL(WeKJeR9^k1(pFxop+`&4AdF~gx!{drM+DETrP`26oIqxzm(tnb1oR_e9L
zbs>NbACLOi1)(WMTYh*$|HLqMQ7iIzd5<1&k6)O(PakItN>dhovJYV+66rfbEcM{J
zPjrLNwh;ycAGZ6b{Q&lB!g=V%3mOb&M&FSd7+@qe+1DSt@EzMlwkau5-r~}*0Z{1w
z#)y5~yK(YGFIG6v#``s07ev$FFi>MBgAkr_?j&?$MgyhRA4PScw1bd$$fu2Q`>i6&
zMWs%xJhfT&Py!XM^FL_!acp8Rol_aE+1rkNc;lk_p9mGgFIhLlH-Ba%IBxI_wzOe)
z-LLG%Z*jDN@~L_q%?}K9cHKA1iC-`+^~x9lg)P1|-Od<GFK0+F{}!K1ZpG4neL8Kh
z#p8u#E35ia&lxVHcJ9ijE!e%XcLR|I+K?%Fbt%m50pqf0j9KA>W^6uXMGqxuL1Fr*
zT*t60jOcgaAqSb7v6g!xcRVXK;o>$|hnkyl7`8B+7E#rN5!Ac|>walKg2sg@8_2;-
zZy)UF8g0U2$kU+>@*40;D!}c^+7rx~gEz_WXft+Bh)LPfMI8dJX%E|9FTrdUna&p&
zv|urN=brPVQsA41vp;9^E37iEw1Y%##iAk-#5a1?;EA%KZ02kQ2I<NURr9SFwd7gI
znz9<)&|(c1Wny58q|C~rKfYid=?8Rw_>$qUuC|Qle;=^3?s_x*OKsS$kIsynpGd%8
z{w%0Br3y<?=2g!#YR9%8<#^vKLxL~4IMJ|I)mTbA+p~&i9hg@?|6*A%5t59(Z>~+(
zU=!*p`>LI~Fx*4Ko&UNB(BeGLK4Mjm(Zf$N@oV>B4;D2h?rim$XpeaO+mDTy_#3W_
zYgXT|Fasqy&pcHy&CU8KcdiAC&l}ZmPWg_Be6fwQ7g2>v=`T;tlfGcWAw^0gi2+RP
z_X`WdYbxNrr-C)-O&hjg3~`x}gP4ZN>-S<S$`JE(s&~<+9qSk&@z}`?W3Rlnk?YPY
z!~UXr=i7Fj*!Bx8c^ZQw*!BrVh~=~rTu=0f^mppUPHZd{fA08+iMV*b@bggu{Mlt~
zk%V5%vA<ANnP~$1TVbheJEsVYxK|AaIKE?CZ947K$0sq9NL<tF3ySc!TQae`q92P{
z3ELIUKZBhQ)cIV_st6+KP5<?{4PqHHmgkqkXEC5_)><dxAu4Hs;JrD7;U<^2#VO2V
z8cb&02UYMOP!<y$*)oC=%<1LxQwx|;CP|woKmm?@ervSZ@)L6(^2p<xTEa@BFWruQ
zBoE91GXD%YCNNn;+EFK^6>Ps3mGkI;9Nacdt5d%)i8YS+$M+|%VJ9cu(yA5ZfaPf1
z?jZFUOyL*R$alv-EUK#K%Ret!kmlrR(@&noTsXI9S(BK6#IqD|zETE?7k^sfP3N(z
z;cr~gS7u1z$)My&$N=sf35AL*VifP`m!F=pLTO8DtXZfuj8jxA?WLD7wyr}hUT@hU
zBfc2n$ECoUq7b6wwu0SzQas|w!Ud{n-du-{NP(D88%F3}!v+>fxw$uaU{9`g`JOQx
zXdXixDjEN<!d$8g#hD-8UaSB2A`AyMKE`4@otfaw<bU%I^@Sineo`hKj{_}^8!aa}
zSs+f&@_zVlVW8-lS3K&L1SS09`tfmAm}+XO4D1wzbN89qB_B%ytzE_2=pQ@ObnoA<
zG$#%=9`lDsZ%YE@1f|@{o(m2>x6^dD!U1c-X3%1)Bp9gZH|*}_fx$Dkr4>7*p*OMx
zGp&|{AJ3c0QVRLu(dZ=Km3%qaEa41bSHJ;v4d=Aym=Hu*HW)rXf`=<T<{<YB2NByJ
z<rK(@fcf(`-xS4_pvos&Tlta{gtwTsHZzNX{)L7NzgcCdm3dO#kR}a9`wY_Pk`i#m
znt%4&qADcc=5Hnn$wJ(R9o~e)IMChiSdpPb0%vh?g~3HRkQxaN5AT<T;1^Wghzn}a
zU#(Ahu7QWnsd<O<sd5l%I7vOSpbp){9nD9dDuT(oSMTGj@W2rh%IhAh1*c9G|J`##
z8485UbNG7|Vb`l~4Y%ZVz}<E}TmG{usB5}NOhqXJ|1%|~lc7}Lswn)J97+Q3qS;(O
zr>*yFHr|?6UEn_bh?w)70ymRo*TkqqaQP;|po;53Zon?7GCwU?+pW96B}d-sb7R8d
z26QNhk~r%$tOK`7fNO%60xPy^Qi}wApsedeCOXqV$bZ@?cwQZtr|&(YH|c}VrAzXM
zdGx`K`H^(i2TfQ!6n*lZxB>KOo#`lCGK9Ar!Hq+@+R*hbxiV%-AEbhWdz9Er!Kh`@
zwrgA)c+(2BdoA>#wDCW``}_d)X2X$vfjV%*z9oE3hz=*r7p)y)&4Fdx-3#qsbRfxT
z(IC^62JHMfo_l^<fJ5(s%dRCIxVii<goi=}C6C8WUP@N5eDbw;*f$-p+^N%JVX6g-
z?*qbxan``e8)DlYp#x_)^WNJPk-^jMGM4<=8g|#eJaTSY8&o+Rtp{e5A>`b=r<0lu
zcsk~>)!?;3Z{W#rdzLKtMh~ZrTHC<eP8SZEohCrcGYLaU5qPBW>IXs52Dr-SoYuJ1
zp?zo<H``8TFmNCzN7Yz^?wL!<xk+R|K3roZw-HuXdFLYD#v0DKt2;d0Bmk9J!W2Kh
z!kF)mPiif&0#}Fp-6@AvV7;2LxU!uSjeN~55ZSN<C?T^u)F{FpXS0`u4+Rk&|INtI
z!4fiY4*wD(<l$}97sHfE5wuh}Qem250p|>pB?4baL4|fQ&pril)W`OLH2&Kh2Dn+c
zUCH9W>@j-deYym?cy%9<yu%#iBY<sUUI?C?S?c<IO%k<VaeEs165wg5yZ1d69%z&0
z?3!T4p@bQ)f^Y%=|LfIqXCYPyI5FSIMa3c4JEM_p))?S6W%Kg4uVNuD)Mhm`aH!{?
z@{^N$%pj|GEco)NN$dnCxzL^yhnn;ABDH-@VYX!OI*(gD#$^(Io2OM0z585JbMd|j
z<ZEf1`%CC%6wTH=zL_M6_{=tya(@`Zl*Q_|>bfaLG|j){pPMAIq>n4()r^5x<+*O}
zz!D>_J%wqvh9vUO%=Sv(;=TNep2z%Ye;F?B@BLB*B@ubo&h)8aL)iEy<j%H-8L6!P
zI~K++iNZeUk<=Ww^kdv*Q37mel&0SvFD!{(d!`*osx|<t$|UQ}7!EY5hef98Num(-
zH$%ym2B0$+qxPqZ3)u`+|9a^siLB&_Of_}-V5=)9th3640&={Klj<Z<_DhesAN%#e
zZ*3tYWt9(IW!Y03WrRaw%o!hFPSe3N`30xNpa2TsleK(VjYDlDe2q~w9b!_5VV~TE
zkP>O#Zp}*yUE}3{6{byx-{oA2*UW{{L~z&+6*Xz}H+$en+IKz33}>i)RS`k)_uZrV
zSY*(jUDuYX6ZN2h7gKZP5=GsLLtQTxWzd(Mh8YfydN3myq3SauiVDnEv&1)L(Zk4T
zpBoZ-AUYk;A>Sj0x)RC`?^BdV^F|hlKSpV=)>_bNP%n;zR8PpKx+$QPl&RgV?`e?K
znB{9xC4v6-3w|GT!lPL%M(F1Q8c>^b_gtx#L<^k<oj-6WqD4fXetnw;)t%?Dg)cb7
zhC*;69~F`G?7{wtn>0|M79~1QNFjep)$5u_C6x7V5=V}sfk#g6gan@qYCca~OmS33
zl9o7s(tR4l?98*-XC#Ya{+#EZ#H*nBg`)fn1`R$|-gwpPFNelz*9qSiRnU!&D!k4#
z4V*R&%6Q7<(XJU>5WZd&{Y>)}i6ZMkbU}~v919+G_xw;5$R;4a9aEj!fqHPhRp7?b
zQ#{&6Ym|)fAtH_gus^m{4`Mf!jz}I*L{av9L*jZQBy;cN<1S-5bZdq9N%1KmefKlz
zjM*(cy<Cj@^_IS-eBwf-5;~!IhRY(8jIyw=I*sP~FlN&`clwMnIyHLXyP&QbS||*x
z^!}y~tIg3aKO|I8apo=dz~@{2bV=b(ZG-{vWWL%SS*e2920vFLK?*YK-r;CTHw0JI
z*wpE&ie>`l)I%L8NP#MA_kO_;r0d^)#!soDgg14>EKdrOU2o+{EjNN2UAHaL&lAx8
zQH%AyofMQpd_DX0sxdrZe;OD#LO>ndgL}sWD9EbN{!Ea)2|WGkU(9ArMA!e+e|+#j
z4Y~axoe&l=g|BCy@;2WlBEJKsm2RAB2>-Of!}p6RMEsG)6@Mfmf9T#mW==-?>h%uX
zh%^H~FK&a?Z$u>B^WfWKClbnLbflbB!yshmd6(#3BFf92T|RF`L_J|04Ua1^cz~m)
zkG><KBFm|g{gMQ<mXW8MEemitb#;MugNPENRxclKS3zCJr8pON0_-30N_D0Yk)a3s
zU&Cw4=!}Zhuhakll2&3uLmdG<`0F|KkfMaRr&Ryw#cs_>@OLe-C7=>=+ezaNJUT{k
zH62U?ILSO+m|Lofa`FR#UqAu%hUR+nZ0QvNrtR7Ms;Km_-pwO%vS?3ixuI_~K>Jw1
z;&)dS#KUofP^>47+^$?XA+ojiRVH8g`wV52uBc2O;>97uiM1fHy#Sj1>)*0EmC&|r
z8^_`$B+v%O<n&82fLevKQzgF=TD(6FI9D+wB@rWVZXSd6#Iju^D@D|i7@_mMT?DPG
zJ*#^ji9z*n$%iKw@yK+?_2T4P!bnHP+w__s2GmAw>8t(<DChO@zYhY1(AOUYzFdiB
zAoB0?Z_#x*RIAt%`dM8N-H3>BAqkqnGycigyd+t)?RChI)E9na#9hK1cheNoKQ<qb
z2O0Ef>U2R*D<2xVKJ_kt(*$BV@A+1-NF#xfj{Q4T_|S`YdYsP#O`vShD#_|Q4rz``
ze{8DaMSf-^rGiOgIE8ghHg5U5@MZla)_h*n-*)_-kEb#CTk}YY|Byhz4VG%edR}xW
z^((HV*9h)krd$qWmq6QHM{A|F=9`>aDCcuFf<A+CqZOMi|H<okdFeSHiX6+aUjJeU
z;rBSZPUncB=`k19N-utdKM{0me77NZd@Ou+N>U8n(%&({x=R2>OxFtPbQnOL^kSl4
zo+!Hi?jqjOO%Uy)g&GhK7=UjRqj=U{6b%ro1^BIn&^^Aw5{WT=INmt?*qlccQLKdm
zPs|9R&mFS<+k*6AC%t;*L%#^x-4<<-o-d5faxzSqwz%kJNdCLF1`+h_(ZL<N{YB8B
zKKz%PIds_BkUsmPNdzraxJ~))6h+a89`sRw4%ozQTaQr@bUJ942A`1_BHOM$GZ@wb
z!A-)KK4DSxNbXIjGhH0nksX`ZV)VfIWr6$r9#NzdT+^IoDS=qo4NguQ=|N3#R;NS0
zC_?@UY1W>Ss9a#Y)Mb_iv65W5g~DP;OtVj-G!ciC9yJ@hE~0_6{H6JxI5DKF=kv#=
zLkfwFtu0+YPlH+s7P(hj+z@MGJh4kn1_?OUowGBcf#!cQ{3@TsQEhwQufGYh$oFQ%
ze_28__?_Z>hyS7kYFYTlzLQTLJ>wP>P@2(&S3<f^-M2|1`|170tmz6U<Ll|gTOGP!
zKY9K3Z&e&h;l2CnQwAP|CW$QFsnLa`oq-W|C8ZF{x!P1ee?>HfyLnTvS{G`!Z|oP7
zl}2xa3#*&<Z29Yu)^uyLE?7@lUYn)Lpa#K?i;V`#sQtkk=JHWpND-*{oZv2t(z=W8
z@T#aF0vHuM;-P`fA&8PqmP41b!!16DsG{%H<!8doXu$EKkM-0Kc|>$=41Uf+Krfdu
zPVNXAh%3ih{*lI`pF$Eta&rVE{DAp6Zzm1j$hE)!(TGP~FY|xaZ26WE;bDi2u^zNP
zqyH?qriik)&DagUB_W-{d*0bE^x(#MeAlw65^}8D8z~=8M!}adR!R)%aQC^*)1g%*
zbVz3R(9=C?=%jS*gu+)kBxL{QJzS=Yl!W>6JU7(PRc0Z3vrGDrK)qYfeO3jX%QIbR
zj-?>+g+Qa9bOYG?-U?|cs-nqDpK5~FDJV7jhVr3}t-QEkn$_Q+iViz=c#2u5qorP3
zg<V_!C6jEOyx>JZ!!Lgd^&U`1sllPR4@E}c9%E-oTqmHpeT7e2wy7g2Xf#obH3m#M
zw~!h_L}}0BC6t-eQSGZg@0`w>z;6eM*k6N0)J(b>c;Pw)UE&t#@3uFE&coQPV^k74
zKEB*c?odO9P3!f)@n+D%%33CSii8|0`kH+f$p~)b40es1LCDfTlhjob`X2xQ|Njh^
zcRbZ^6vyqouD!CywXeP1b5TEANNE|B%C1C|qGYsFNXcF;MMJW_2Mwdh-XtNC%8aC+
zf1lU$dY$u}=bZC-e@f~n{_dS1qn(kP8+#TN^gfI>az&BR=y1p1o)Tr8kQ>mgkOm-e
zrae6DLB@Y!&wGt`E8$uKKkMH803S4KS&j&kars=zk@fEiI3grruYMaKxx6XW;H5HJ
zWQOKi9g|0wUyZ~25#W8TYHX^RGJ5gdd%NYAEbbrN_8fZwv_Hn1iQiYk*kmS?@lY8|
zAl-~S^%-F7s|owiKSg}(5ni#2NeT~^wbhvn12o;VqWD@X;@yKQFZj1epx#K=`1*T*
z%PM^0r%oy$SwHa(sazBn!~=~uN&pI%LZ8wV%47Wd(ute<gi&$j(vgNlfNe}`6U|L>
zIDEyYY28i`HQc-6UU~q?S4aEB&&Xo>jyYAa<NSE)_M0|0S%9sH;oQkQvN+iO-1ERN
zA2MDV7~yN6f=ld#EuEeWsu`cQ;3n~+zM$h?8*3^=7^#Ji*GS<rE}i<Y5ib0gx>i*1
z$^z)RqE_6LHet43(ys^^PAofg+gMN40{X`s-!A7!V5fh`kaIIT4ok;+JiBEMD#~mV
z&-BExVU_j%oo+UivOA!ChtVA7_tj06eiFr63l8eI5gUTbyF#fDGdMc*MLn!Y1Z|a=
ztGK3EG4=a_8|DM1uo6@0^Yel*syVm2B@VM<Dd&^udK*(%Q)!t=PZUDl<`1Q}No-j2
zT0z^r+yqW-8~b)CPZ0gs>A~+58_KPPojajw0)@p(!g2iqShf829=|X<>JQBXre+yK
zs_W|?ycz<SV61w&V2~Z(KZ_IN6g7sNKGN)kJNzhkvCm^uGY6*MpJA3wHUfLb>{vZH
zetd9+fx2y&6GgpGxQGiHL0d`vJguIDPA6sDehF}+_}O#Lx@m^s`TZX0QxpmL&72b4
z{dv%yHzm42#t^m_{$-&#kx)eC=e~qbyvTo3hVwzO0o3f6bjURzp~6byR^CcJJig2|
zaf)gHZ<<V)T=hx#o+`+ZmO{dEtB8j?yY=C}k9vJiZArL%+WxO(3_q?Kb=oH!(+A)1
zuyl*ijkrsld)Q71U}cIyhO?jmML@d0K8)mCC{8FPq4&bYFXQooD6SRK&s?PkGaXTf
zjhXn-VKm8PXTA{TRy&BX`s;zTiB6(O06&(AkNp$q6vp7&j#ZUXdcb>j`O(@qKmHnM
z|F2nC6pJ@!kEHeMLU{vuspq%==Gmpms|Sgpa8PQMY^E;kxyMs_UqleEn50g$^oV14
z9jtuy(}gMDbe`xILA=^hR7c(+iEiI6btGBn0)2LNQ{ZhO9OTyAb?VzD^ccwIZIjdm
zTjuXYi4npWzi(`+Hdz{vs#qlkG3x?pFDYv@Km^;P?+!ZNm%-PL_WH1*1G_$}+zAgA
zMQiRu@5OG&;`Er#5#5b*`aIDzwQFMdwET}2|9Lr#+hwCoW6^~xu{pxkHR9+QHSC~q
zMjm@OZ015_b>V|?#p6<XNgTzbrIj-Z__R=?`-8nM<V**Q+3whcK`RsaSI;Zr>a5cv
zzj$4++Ujo|yfH^R7qjXjE-Rt$%Qzp~c3pUF>mc4DE`yyvqC<*rDx<i{Xyjgs9`Iy|
z&K(|-!J!7%gQru;NGDgd`Dl(F^qVDURTs$OF<EW>tJhWV?@ZNm5hZ<Cnw5;uI3|Zq
z8T>&5QL1=Jqi`v?Mjs^jU)I-xJT5!@_omKW4Hx7;TzKPe05)6|l5)HXsQI~nvy_lJ
zGLa>x8C4B|!zGBE(yxHGw>&ird9IF)H-Fdh{4oT>HNy{#*@|c_OMW7up@G---GaFR
zBjCyJ+swE}32%n~8>@-XKxK+o{c@u*yc|q@HNl~bjVx_S7n3ybZ2qr|tXdOba8UW%
zdruin(~PW2k7=OItXagp8dJ#q)$g~iO~#~Lp20p*4SX5sW1(DS1~ctX-e%;IQNQlw
z!E@)-v3Ze!tMs`!*x&V4by_B4_Q@AnZY63M_%O#kHP-?dvS%MDX{cZ+sV~gAKow6%
z9-LB(p@R6s&tJdMRPc+I=9l(^Drl4Zt)E)~V2zFUtAU;h&UyHn`mQNsP)<f#|4D!a
zn^F5DMiqQBl|tGcqJ*w(7HW6u0E$xGePT<<nBvm5U#Cd{iw7S2|5*X}eN@i!h8Y>x
z4;?R;7L`ZOmXaa|85#)YTmRH}pp1PL(nDGYWKpB=-_Iz08t9(;s-Co_gay?Gg)v8^
zk?%wLB|Z}xXvOT^mTIVk+ltRwe>0cF7oz9KIkaey?6yBH&Px%&vuC`*ObopYJWsX>
z(O^dH_QOvR3Yf_0@aROOFy8VCyUqC%fX(w~sdl0~KB(>a!MG-XS7Hg`909<t5wmqT
zNe*qs>H=FENT^cqF_a}9V9xkOE8`tm?5kFFI#tJuTN{Mp-8Tc23Ag{+oiBs8W?iec
zCvst)8UvTaIu+g$-Y(k@OJk;-rvUvBJ2L1mJpex{EF{$R2d8bqpUliN(JxuCLGv0d
zv&8~pC;Qm13`yWVtzsrYZWdfGFLZRHSU^yScc8VYIF?*LQXtySgyOc#*0R^lAx?~=
ziS}F+W8d(!yj*2OIj@(&$A6fC<B@gqeRd+qsBkVg^b{k0JoEE&u(KHy7Sf78tP7!Q
zfB2yUTSinA{ARvTVhWp-moD+Q3u2mD=r5JsjJUjF$oxXk6dDWpy=bom@YzB07bQiE
z$de+y$@r8B9BS?DXX)a{?}w5rvz3`JyY&3(*DuDP%p^Nn&&ZFq$+?w}JDJevcUhQ_
zt1+Z#HO}QalQ8;);fd$>neiESh|PMP5hV8ejz4(GhldMyf6vTiL9$oljvhlJ*hW4-
z&|<=e<KaOr9#yR9Y3{T1zQhm;CTonBpYUQMr|!a&1vYf4COffe8bVTp-al(eUaWgF
ze4l2=fhs|pWQv~{z{lz5X6MU!P=c}Z+1@HnJg)GVaYEk!u9g%S^q=FwdmXjSzwEd%
zDxAk|5cOfzM$;=Zk_XLhnWu*?@!-E_&3QFj^?~C#&v~D89{lwz(0#&-50j>yb85%+
zK;~jZ*xUpUc0Q^9D8G$_H1T0s*%&?OG@Fn1-pz|X=Q1n_4}N4k&5E)zdXP7sPQSLy
zi>C9jZ}Wo%kpIlJE&OkFLBLSxo~kDw#*dv^>rUO+>*Ig*9FOTjN@zXXrcORIU9wj^
z*e-;7WutePDC$Du1-Fa6dr2r@{rdVrIT73)F>-Y4hz?u{XK_9GXQN;9?H0xpMDdb<
zz>08=4zTI%OxG{w#|uYg^+y=R(Kb7(O*udZ9x%5lJBJFOFb9pSeoF%Lx8A1Lw$K5)
z2Xgr$PJ(zdEV%Bt<tD5;7y(P-I#7C5r00vd5T3EPPLW`d#?>??b5{l(IQ4ekm)%Mj
zg`2Wf`H#wAfUsS#;i5KFoZCL%v{wZ0+#QkR36RCqR#%OZ1#MWA9NxM8swmPJkaX&Z
z95RV5y&a<00ZI+~o6=4(<n`Jobv#BM<?WKBmp19ZJ$;wZM-&OX_*L^-&TRz@^tBD5
z+UbDlx9$I$b0qQBfB!h-D-^LwDK3&dQ3o21nP?d*OJQh&^_PedC2W9{=Dc1V@ZMb<
zl}Sh=`-!QqK`dl!o-7mJYOV|9U3>kKp3C5ew_kD?)l|^xUEy)cOI<LOwk*xKzQKXV
z>mTj6QN?NJmQu=pdT@8DZrO1|N3K=K-|h2I!!W;J^54GefzE6HH&=Ja<BhntC;Qyh
zvH$nGxx|P1z&~|Wz1v&?Kf9JjiWq5N`nAfPS<wctD1Ws@N=^~aW}dfrv8;hVNrgW-
z{S4vGr>eoPbV_)|G2K7$vL@bX*4W(PYXpU6R~fCkl`vS=fGuiP6NhH>6j(xyffoCV
zaVSF>>m*$caSCgpW!kOgr<YBDRI6;R=tjnd3waMdu4&?YO?S*>u_=gA!_FT4MMmyz
zL0cp<HL>aXGw<e)X3*y7Zmn}%1%=zi2je#KaXG8E|KqGVXwy4qX!NL{)SdGI``I<{
zBX&ov(@~*4z5jQ$uqv{XYNP~u)X-TZVN8V%K);wW&qGl~P*me&J*0|n$)8I^Lji*1
zt;AhrRdGARHlGW1WZY6JQE;FeK<NN~^!Stt!U?+u<3%Nmj{P`5DAVBSZ*QGL7gaD*
zdWm@}mm=<bdZ6UCFAaWk224I>Qo(}c==oPd^4KUQS)qN620i9m3mSKmQPMpmogyuZ
zZ&|2MZspV9wfIAo!VPW^ZV|mx>o0{bc7~bXF5Ec3oHxi&s)SC8;cTbhiep}bePT{3
z4Tu*vZiu{6L~p<0EAsnA&?Tw!>9ueg9L?n}bT3uF-mKd8bB=<TMJd^R(S`<7db#%G
zEP1T*&Fv|^LP81)dUWy7U~O=7eszKz@^DXTpc4;9(A8xZHv?SokMtf0k;RvjHOI{L
zInbj0ewM~rfN9+*LEJ5acWc&mEi|y8H0y;_6Kw!0<>QcSrW6M9T#zsR$B40)7T+&a
zP=WfPbw2;LB#spxt8ji#k2iagUuN@A!AZw!qVush?ovGKuO>r><$GQQ)_7Tf2HO!~
zmr+q1^;hv{>itVZ6H2=_m6*e)vmqTtx+1uo^#0mI+8U7%QTbMp-W;~YSSXw*5<+)@
z_KpSbKZNPqBI7AHGdNhvLb+}(h)a$K9{iB_Ln!L!+|#*l3hJXt!{ST)824GF{@m_A
z#J)AbohkID&~N;7@#RMnUiv=%B!hE}NNHQ#05}uiX{B7xe$R&nx^u70B>ob67E8rd
zs*OQ>CHCU^HeQS{&6IVFS|`%aD>HV<7=xqYlK+$ccrZ<$<yH-e4*%m=>B>qp0#*L+
zGpoP3aF1b_FCEiH9Y%OA<SZD%!l9?^37<LfiB{S5dn5)7$U4kCbHEUY**%OW=sD4=
zl+qVw#E7n&lJ{KgGl0<w9~m|`4s^PAVU_&^6IO2-Ho4_$0I|n3z4AKQ@tEKD2k+lA
zqZpUwd*P4zP^KEwI~~i82c0c!+KgE--cuN4T=k(=H0^Y~Cp+5x{pU&4u%Z92zkJQT
zdY~&U_;L4scC0)wxLUo319OwhRrL<&fipEgigKMD9fBv$`v`I2^-mQn(F?jTS#!FQ
z>kB)^`+9ezPjlmFuvBaJ1zjlmw)+N;CkOgDb}beU^CFG4B_%{b7v{ZJeRBVDps3;d
z+uW;sC^tiXknmauY)G~}=ju4|c~HM|i!eW~*)9tD`Rl;VK;fbnkGL?S?5_>Se*$>%
zhYbV>>p;aL%JYOOZY-4lm<5*wF><xDWuZYEu6!3VPMqVxWW5hfOOrxqG3c9j`kXd&
z%Y+5gDsRMNxKjLNw+QwqaSA6{X+zMvI90Q0KKw8BRPCp)qA0hw(fK2nHl%rFe7374
zp-bnn@-NrLF*xZ6u`o;l=H;Iq$s0N)`e6U`^fpPX4#-Gqub_bT9WUGFCjw|5HP-rB
zUkYb#?BUp*LxH3%$9-}d1TnSlvA6byKk#*abS?Ad#(m4Q#oFIO_@VL4ZELbDCWoAn
zX}Ljxf61%n^&o<5F6{%~tmW`;i`Rf@HU)m~Eou_U*_ex%o}Ac_4IVrjAik@b0`vWf
z0c&F7s2S;u(}fCHRq32q{*3}=hdS=>dnkc{M|+xlrxfwrL}$>tx;EHrCEV@Vwh8~P
zGj~PnDdS-b-8Q;WAO7aM{|*XCBR;*_F?F7dUPGP#gnwwm$?;1^tHWe);V;LlUEM0!
zkjGX|3*FG=@)-9${<64rQ_smzc{RLx@$qsOpDuJ~Irz>Vl*6F_wZjj6)$zfw$jI-8
z4IlS0zS7=L9&cKGPqa(Xz@k8k?~c2A5V+&oo3da9EMxNRiMX$cbyL22%NO;*e^htw
zW2hnq_t{nYrD-95uxB)5vH>*izh{wpTnUe~d++H|qu_p~mCoBQ48bu{=+?eKWn?|T
zDeV|cL5Go-U+>Ns!A+Kj^i12y_>Vp0S?pB`ep-IUk)me;VUlIsgBv<puTIHcO`u?)
zoriQ$f+_Ts7Y>oWs^I6FPK+iyC>SO0n)hJX4DN0I<<NOv6~|@^v`#K)VXDJDUSDks
zSO_=Ve1A<9OJ2O9%O2IlTyEybnQ$sxy9oKO?bL8TSNg$>NDXW|EE6Q`2H@nORp=R@
zhAAJkRfAruVSa(5nB@RK{-Z7$-5xb;bIfyRY*9hp#|>H9TWP?|tUpjGp@xm;S7TEO
zl#$NW<=X6H8Za`91lm1RMN9q*J_&miF*H>-K5>x-ZFh(B*|=3PHHoW7idi1pr$jDl
z$y>sV)L2W0wF=5lO9g3^%HT)Avz-(pOE8W3(ABhqjEY}RI=mX)=x6_G<6eDB*m`}R
z{vUf~>>h956`LoD|8#50%%m)Vm#MCVk*tJsb}pm0s{}FTNrEH&0u7?9^jga16!2$9
zz%gx85~^m&)C*M5Aguk{<2O&`G0pK+t(p@Tc8t+&KN?B{Qs2dck->6!C;AOf2NNsu
zO$QAx$<g54(@yy_YO;85RIYJv3Ij&;D)v}x=+TL>mWs1O(pVTKKJsevFHtzQXnrLa
zAS3s@dsW0HRF%tJagqK_oSYRo{*DI#b;GTwS`yg7pJDRq!8{>(_42dnT~wH+d5*KO
zh@muQY?=1{Nwm8B+?jOC0-|Xx19@~J$U%G#*`hN;;QQKD=Pq-IIF#7yA}fS<x0~RO
zom0e4pDd+tA#=zJn4p;Y3E(W-mVK)~CW(=%(!^O0GdR<%wJoccgo6QDmThH|gkpsM
zIrnT+U>9ceWenj%@}9M}s_?Hw(B8+dxMob?o4~Q{72A1`EA7tdLAq(8!ThnMy_pFl
zi19x=Cd!3Jf7Em7YR(W2v!16_lZ?TyvMu<PGzYHw){c@!W{I>Eru8S&Mo{~5$`uc@
zp@t|Yz3$(iM2616#ZDU|=)Rv{dhG`bzLe7DK3z6PFuyx{^U^~@h#&vepjN_+0S=+I
zdy^N4lr)XrI(|d&?`<`CTF8W-ysdc|ZY&WAHu(mAXAD5|fMD^FRz@5SIx-UT=r^&i
zl-@gdRv#X<dS)&vF=BOk;J&M$SBX={7Eiq1rw`Usiouc(7|=Jprj4rimnevwnDidd
zgWT!0GeX-L@UC}PURUlvqQ6@Fx0#0?(2akl29Oz0PpkXnf1>mV)ou>k`*b1s(54n9
zX$EYxXpFQx!ho$zmv%n!)CDS^^;;z)1~gpoF4;1`h@Q7ze{ue*1LT#w+GEEUuqO0L
zLDKGx_lbN@-5jn1%-4^OkH2TYD3vD>59V2LU`psoKAR4>C7kK#-ol7790Sw43fYix
zt)V|LOB=>MQ;p_F7;!I|i|#=<2U7BOnhKk0gHA!Zw0Rm6vPqwR)N_anlewESPYzJP
z*S?F)c7z#?C>0DlPxD~>_}97F7z)roxR|qahz0i#dCU9n<-?~AE-U3~6!>6yGI}Y7
z6}@x2Hu2mb;XwC^_+8~%uv8%{V^PJ1bcufR$;138L*`iCr>F(bLn88QBskFbtkE3%
z=8d_lv1LD#r3v(gzIkm~oLGYX(r4cZVSd%?!DeMmptw8Fx7u^#m5EPvJcmWF|H9>j
zY(fKycHCMCmgPmB-q`j^vKW$cx;!o&)&MeBCTDCCAHEw~_Xy{d!2UDiMV<;8u<p-N
z9)F*NyEol@zed`G95xnfhKuSDSk;up+Ru+?(~RZo&86`UwbCeYNFBQAGCb`R1o81b
zSLLtoWYDBJ$Wr2yIz(i9J&V5}gsk>8yKI@{u-aaGmlT}_m=^Rr>ERGT1&W(omzzA+
zv#+x&&@_NqMXo~mz9@2*JPz%6p@4lXKg1P^G=M2mHb=x)9Hn&xb`EXqArU{NgfIh5
zm^&ZJ_sK#M%c|b|dGbIRzXm5X5c8U_>#K6Fx`7l595^1cYN&$FIb2&mjcGxLjM3z8
z1sObJu&JE<UKQIG3XDI+QGk!`NUNloEb^E<v)1%c$3tFoKRJ!GL8Pgvf7w$GV+Yx1
zcKpylFCMn_OB^~N^?|?J?UFqHaBuZc3(~?E`|`T=bsad@NiV5eqkuhO65=I?DEMdK
zrH!?)9t;v3ugm8Z@qOg+FVRfeNHFtQYi;=VzH3d1qRPtHIip=N7^jU5T0SdU4-LTV
z#aq{#u4J6;JH~1DMH^3Y`CX$|FoN&$7yIKvRB(6bfle7w9Sj|+bv*dO82rg|DObZ)
zaeSN8XtB5s#+Vo0W$-YCI_0&>7B4ldGkEUiHldAYzmfV5F_=Tvb|1I@<kfNE)E(8h
z6WX|R*W}^e`xfA1eVoDhl{$8Z%x&}eK*5pt(1%7c0OZTYI-(L9xH{ZRaqQH>Z~j-Q
z`-cFII?VH%SZSb;%pb*?LJjnIl(EJUPlMPnlbdRq8W=X1=H$M?2^IS{mkbJ80uRFo
zX7;ONvUt&`gEtv(82HY;kF$gnV{3`Ww(8hb_ePHSgd#Q;(vgC?E#YS6v)+y~Y8$?$
zuD<>3#y@DAZRKULf|5@>`46L2F@LJ_#0_0(EZyzTS|(%#mIPNzf}08sPR@uwzAuJn
zw<a}puv!7fmIaF`1~R^|iEI9nD2N5R+y>u9Hu70zwVz2<LIK*Nk~bZ^_;hMzRwmaH
zTB8OZRf;NNU?G@^m9Zk#yD+)U)e=4pUQiNAlE<@@p27J#I^0n=JZ`i^gVS#8980Wn
z==9F#;hyP5V&dgbOYQ44aNqnO#pb*WiuIUvhW`9YNCfFlaw*UtGnwjNEFy)~uU>1l
ztacEij(dN^JqP&i{U<MEiv*S=*(WWWD56&DhI}Wi0Q|0|O;x6gqW7xr_ny`c>UezX
zt_Ouw*kLemZjYoe9`Am`Etob!T}&T))!ASHZ>!G^TQ&<|{;|7VE6HP2p?t?ri9gIC
z_uA%Hts8S~&ED#A^!_-NzOJORQo<aXek^@8Ji?3P4YL{?2PUXL4jGouJDR~AA2rug
z)0`Xn{V4n${{;0)?aj<X@uraX=uHea!G=vK-z|cczfeWPMCU}`m_VvS^ZpZ4%%~Xk
zXzwnYF>1lt;;spH6EL`3v=DoM5!WOxj^EQBrM3_CdEDJ*3`MkMrYoxSxNC9ZK+mHg
z>Q%3Yp{w~uAQeld9t&6}{JlCm`}2CKk&e<8HLDxE_qtNYgYFOUt*b7YINCw|-4Kvo
z<ZcMH>i0E0*nSh2ZA2Pg`@N_BDJmTbe_;URSNk#}BNmCnHyZczGuKhAM*2qQ#0)_D
zmC_#HE%U_3-n8B%>nGGs$6>L_bNa9?*RbQv;a^15NqLS`QWEibyT?EIpL*aT`^|Rz
z;SWOe?Taq`jF*IG@2=W2K6((@mST01`#bT|pt3?!{|%9GouTz(w=Uc>z9H^DIZZ?q
zH0<lx(?Ybg^Y2)8)&;qH()k7IQ-rnLO32ZB9Ymo}Qgi!z9T1RD{wLo)Nyw}xl6d)g
ziOsSdN4GfY0Dp3v$KMYVgo0^z$ZXIc5n-;tXw;?+p>%$f8j%Si#`WfrLEle=L|lm1
zH4kmz=n_gYy*ExAK9o^5d;2rtb-K~TV2lED#+JrWk>i96+g$yN-Y>+i><M4dqZD|(
zo|%*zKThPC^JT3oPZH8>n?J}gP=KL~#Ms+BPDt|Lrk*QPMA~XaL87`A#5!?Hm~5FK
zW~C%+uJX+gk2g)0_wUk#WYOY=#`y`NwZ7$7W!WsDK%twHzNP{FhSxvu>6j$OO_P&y
z>wgkIEnR<88`WVu)rfTC%U7ahu<1yd^&H`P`?Ql1`-Wcll&Zc{o+dgtV|<Q$o+mht
zU8t>dQiF)zXnOw4Z$wk^+}82zMdH*|_uuSyRG~E5GRM^RJMrj_!RpcT%Y@uXCi2p>
z3bZ_SnXOj)L9~5+8v7<`g|Pm9Y(9ae0_De9KltSTBo3aT{hs;ohw!qDI{hw#4B@On
z8ba;A2!<QS<Gn1_iS?WpFW>xAhX0b5?_0^v6P%efWpT&pFjF^rCF77X1fO4TO5Nb6
zt$*q&wWsOvWJUk?6J1Ksx-94<p|wP)(f<0C#WLcJb0Jd~Y?UDC?bEGW7M6*ZP2C9-
z*31~|alKmNwIZlVu{r;lTp^y_jT`@_&59R>>0~c%Rs;rD=)S?TM(D)(w>vts<9h9#
zX1f*zm`WX~8Vy`0R)Rd5mvT5!MymGUFHZ%CbmVi9IZucCU90<yw0MxgAv;q4w>*?d
z+dQ_Nr^oXFf94OJ;X@fPJ-u>A9zGm5`JtS^h<^@x#~oqg$5ex-Hf}cZFywf7fo8?L
zu^&aBt(FU5jgka=D!n{JM3%V+s<EQeuOmlJ+!R9BU;q8y+aL$xQ4W_It=LhRLs0Hy
zx(M3#)zf8W%E42~nBsTWH+=mGi=KO(Vi-98E#yhO9Ow-P=ZK4JaFTudqkKzA{2u@S
z|Nj)1cR1DW8^`Uv_jVkPJ<hR?{ka_@ib9AeBeX=?sjr!ol2xH$WmQD>sLo?#Mr9O<
ztc<dE6hFUz?`PfDb6xNE`+ntfq`Wy6iHFBF9o2njco5s9WB25g6td1OFc3+>L%K7=
zm99lzbaYyUecw+U;!I$+Zg0WEC0Nbmdc=>uF_m*mUBsgsqqq1q#bkkA^vSs3NkL@7
zW)ky8P7ZzDiayklAPYQQIgNY0gpvR0vtyPk1XQ?@n7yeZ2NT?}I`40Yq9^}xJ5P)%
zAm7t(%(poSV6{GLf$tSZuZX5D=jW7Ai>|a84PG8<pGL=79F#(q1&zt9{HmzYfOTOd
zSOI=;e^QMK#i7^daAPrh)zMGA=HGsJCGc@GObYrfgItAkIoU0Vi2h1Vv=Cke*4~q8
z%TCLp8F#bjcfKUld|6@AGg1wV7aLqp|C2*%+C~C?*ENytj@~j+fe7O+!~B*{<k1`J
zR~Kl)w9vt<*8)C`BybR;s!}M52<uyOz2l>e>~CH<tNus}^dw5dgC~_x8sDC78wnjW
zbfMJid9Dsz*DN^09if6k6gY-2r|6&ty3bSQ<76nU54SL6QbT-tc7DcfIw*VNQw*E6
z0aWrk-+bn$juhh3Gpw_9kaz2w1G-H{z>xgz=<<CHL?=JpoUnU8bE{2=mlXyt>C*6C
zrbKivebG)+T^l(WgP-1afc6s;z3vG_lps_rxBX2M(XQ83z1%hhkKZ#=vt>jSJoePj
zL6wB+iS|tvI}|7;wEDZ`6A@mzwYSh$9T7qpc>KD}fG!|Z34e-+Hm_c&5oJ?GmHHFz
z&gad+gMW(m?wSS~A@cIoTqPhsrDSfE0dq+F;m+#xP8}(ah5v(T9NNAtl*7($0Viv&
zzDUtkL;iauzp?U)qSb_*fj%Y+=r@>s>UTy3`L6`cD*fd__3Zr?cD?5C>k`l3`{$I<
z4LuVimPC(2Y->ZNL(F02qh4u%vjSRk6h0<VK0^)c?G7s9*xipYN#0W=ptCo4Xr9^j
zW1}-N@_VDrpohj$kY*i^_6B=31+%VWoUt4vr!@+EP7PhF>cF9zxtj_}Ty#*+=GDvO
zNdYDEZ&zRXOQMmM3v@qsm|#!i+_qS&DI6<~n%6!niU_^9cgo3ZP@hrwbXMCG6un%_
z$;E<*m^tG3l8+O_KF_2V<p5losole<#fJu42o8@5xFGFDU3-oMfGy)f*Qs?*bjIhH
z{#*(-Jcx_2_@IpeUtwp`JwX;^)Ue0KgpLQ)XIs|9OiaL*UY0HBEgg!C__chQjR%U=
zw!(THjY087jj~GD7Bw`6Qvs&AL2m!SQ`i+FILR+I*@IiA+Uw?g4S2*2vLDX$p3O6a
z+`Qk?Z21#Z+mN3$?nc~jH|8RCX~Y2TmHoMAb>uU3e_yTLqaiK`t95wlLok41++e`X
zoOjqI$wGGRST3lemNWXE(+87H37nD05EixJE_>LX3mz(`->7NUgR^TB6+O6V>{!{S
zOIsu^n2|`5Y?RZ3SsT(blH?**e0Si7xi%MA-|V^i_ZArfQkzO;u~qDweGUzWI~U|q
zjO;d+bz#OL`{7sSKbUm4la<2mzjer7G4}D*g{s9&o1*By*eN!P%5r&b*iR=ONjIni
zWH}_(*Rg}`>!z!7>EH$rlg-uq!#Xg}%Ic_mffio#c4@x0;{lh`o#xn(Hdvdbt}!jq
z!Fc;@?%&TmVB}`?^6l~6dX)8^3w{isknvJW>@+V#vNVdQu4_TCyN}!47e)vl(t4CE
z!3Q;q{B4<cwLmdK?n1N`GrT7-4zW-2fof-|y@jF{xY%=8tWa4X%%s;_yqzCHO!Am*
z+ccq-x8*^yDH|Lec;$DsRREsebnf3drwMjU7e3$p%npvHE-g%q3c{W{f<YB{P55-e
zN#^x=PI%^fN=-vV7=9Tu6@2d}f%Ki2iWe%}kkI>2Oy-mbeBxI<xST?Q3cF8BmqK_T
z&LY$JX1^#LV%@`<=t+X_r=$BkF7g6fsw%6{ad8-M8FxKNBEgxNm=|K#`G5=G6y?h=
z3F%qqI?XvqaNf9DRpdTD3=W>i?HZDT+JTE>97{yVZ@jnv<vRh;KeXgl?t_D}rIhC_
zV?@Z2WFDsbCkR8ymASqrWq{wZp*?Ms2*pERGH`an5TG^}zkMAKjQMI$dgqByXzK0I
zQ6&Ofhh+9<r^&+SBkiv~@4jpOF#F1FvKaj83?8QKkb~oSLMQkPNdTYbZv=l3hdj!X
zuNsp)kW-SIRIZc2md@VX@v<cR)pVY^y+;9#te=W|^O*#m36mKnWNB!eOis#=RfL+S
z7Z*K@HKFeFVGj2w94IRe5mb7Vps|aqBo%4G!&HgUn#(d^tF~w8g`f%?{n{_|#$5}J
zh|6lr1mU4JRz^F2pDMhI_$1KGrwx2J<NX5zWdU@0+iwM^!OdCYNf^_HTTIMnmjmS>
z5u4$BaZw$ln^*CyojRZwLh<zoBtR$|vuxZU4fwRwkgwRK3!=d-_RS~dVdNOMz6c``
zhP6Ij&YC3ylj?*`{$T}Bm=3q8G9|*=&%@IDB=sSkZuHNVks|Dsh&?{wPJ|R(jPNUW
z1L&r!I(wL130fPUIygEIp^jZyoHf@FVnaM1sURgFmFj-nlp+E>g8<%l$p}O}?olS4
zl%eDLxVLnK22jKW9lG>Qpj|5MyJxd95EB$I*&ubGwbqz#KELZr8k$j}JSs4-*EwpE
zOASOGJ}&ya51=_vB0FAH1#FJ;s~tS10`ghOUQas#zP$C@A0ws$=l_NH(gZ63-2$1t
z+QbwbqW;UF^eY1|!&pF!mjbNzYhLk4HHD3~6~*Y2%3z{AQh7_60C^vUL>s@Gf?#K(
za7l*}tdPe2T_*4#WHo|QW}(1c@h>~ktV*Ewnru3hgM)VSjMKy76tGQj$k>um1mB&a
zZ`}(L(9t^REGJ3<^^a=je@G}mTA7n>Rj&wGHw>pQ(o*2ii=?Gk8hMyci=<Gv1ff>=
zeQtA~DVWCPeMsn*1C~p}dzkWh;l?ek5B?dZ5Pb2(w9^w=@XrqfStm}IaE!F5bTftX
z6rW$Co_JWPx3<?IvOsr5gr_H`DIEUire7#81D;ar0W;s};n$ty=<!N`*i%deQ{&PQ
z7ST6pXGa5fvQ`<-9syvidEny{F9{o`IdSh+H!+_0p5DS841ROv949)9L(_7DRMY)6
zEJM9tLd6sVdkadLnxQC2+co<$9$LoI-S0EK3O51aIIih_iZIMZN8}C&E@C<^O0?Vc
z#xQ4Ws&+Y05U$S<8pmDcvA)|GyR8_*IsL;w^y>K`$&aS*&EhQf@M#ud)W!(5GTwLu
z8S+8<c~-{w>RD`nQ{V)1vLWz1IDGKkHy(&jTFLakHiz}uCdQflGyv7$KiDx7ZrBnz
z*(S`mfbow8_w<qtAX#b9aE6N$(%2^_ByfwEX?el>ANTa34om0#A<GVLjC$-Yg)U)J
z=WRv;e(6E9#s!m?S6LyFu;xuKyn^}EHT6X9)dPGs*S-fFEP&_Tu?QYq#V$&Rb_*Ag
zAtj{8ad(h_>qouBcs{ISZD+y)a3W-Qd5DFn>l-6jzGn9(4E@2TbzSx)M(KjumgeRr
z7b6&{m+1WA`HQ&-ShF5m*8z<_)jNXc7+_&!BhBa7Ha0Z*{eH|D9k4FpSW~8DfM(&(
zHXl#Xz|USm35F?c&<-3cd00&kR(SzVH_B+iUbe2a(@z_=XXxwMQ|Uo!Mz)idhaM<}
z%RY0{TJQxnlars)|6l(-KSLOR?yvW+(?MD=+S^8c_MRRd(5q&v(KEq3;fIFvKTU8>
z3Rzm>W`MZ+=R1_rnc?A4m$drW-5l{6P|3Nr+h<Ey(*-A1_^-*FqjNVeKHj|_KxAQr
zH#ifk--_&D6!Zu^eM8#y9eF0Naz>D8bz8`h-~@{s89APABzRu+%G5cM2{?W!CN67n
zLx+iLiQNtnEG`QMg`Q)EHYNUcrD`6S-24+?mQRGF6yYZ+kt{IG9XC)p%L_q03AaWL
z5kWxq?{ID<D?DK`SB}x=2fV6xkufI`UaieJt#GqLo$D9<q%;BO*9z*nk*EPyzdN<q
z?{R=jE{W7GB?RIg!xy(jc72HL%Vv=l7Yq%Z{UQHG7;u97s`ZQ1fwNpu;0*0<eycH5
z-MJzPlc_Yeb<XNgTgi33cbf;Eath5-ox~ye<K$jXUUjGvv}_{s^MQGNV1bj9B+yYg
zvXn;Dz}j%DKL_K7EjaBRe?=NxUKP8Awy43YuD9y0Q361w759@F#_jsmHc7Ni4H7K(
zI(q&T1X_-~eGWo+uv>js#5%18gU=IGOFV_)mh1ubxTCUgi>Hi=6xG51hzN;)Lj=Ak
z=tVGA$-(Qd&(zss)j?6kP5j?WF}Pvp%}<t*2b@ig8k3j?=zA-<gkP6{xPb1JkI4!^
zj!N|s?a_d@jE((-lTz>|!%Xdph!ULhFlwIiAi_J7<041(a8NfGLw=T~4DuH)z8_p5
zf~-VyQL2>;d|Hf~^^{YE(=EkO{OKfErS<$$atse{r4}AKS!$3&fBx|)e@&QQj0rp!
zEel42P6v0mG~o61zx-B*wSe|Mhu3(q983v*t=-Zff_`_)q|-@l$S!YfrhF$rQf~m~
zsYW6cG1=%Fr0T%l_h#Kw3<?lI-!#KzLIMl(R{Y*6UHJFZu+E;K2mvT`^Tz`cJp5%Q
z3J3Kdm*q~kB3TKZeZKZ*W|yPxc;z_J_Ugk(XjemkmNJZ5)CEuO)@eUVp9=Fcgckpy
zua$f%&@x`YUKdY-*xS7e?b}A+rWq<4*`WeB^3eAK1QJZWoNaMRGJ)r|OFnt-s_;Pa
zamQ#l5$wx8xfyW)j6>$t&T3V7e@(aapuGkphw^+DuLHO+DLcCOLlx{5<wZ)3)xau^
z_fVp@DPXab2W{=DFd-r8yx6A<X^*bDKL2eB44zKSve#ANU+meXmt;k#7yfSg(1ijU
zzLjzeODa&tb-w9T5CLX+lrAvmQ9v)@<k4KB3NRae3(8HyLrK_WCCe`q2>Br9Yig_v
z7m}0TCKO78gj5fg(j*1gq@GLUODVzdU<iKFT?{&&SvPzipnwrRXsP470wk{H--`AZ
zglEnM#rG;HV3}?02VwGHDeYI`zQP0dM8kd9LMV`0QNobJOMnNeWo@;LZ1B0_o`S0u
z1q_tD)U8rwVeo7In@U4^sLT`S3LG#6<vYj18l~{y|3RqlIrkQ3f8$ou;#E_)JSDyP
zJ|72R`OhsKsur<xr>?cJ@tMLF&VldKRVjG2`eo?F-Epk)?WOc1xd4T6T-{DoaX7kO
z9pop}h25C<-lEe7Xt?ySYE4lTJg0evta;)vQesQALh|lh;lNG3S1SaWTe^3{p^3^R
z9vgT5oeA_+T;0$K7J#?3UU%DAx~U&dE5prcV<=elmy7V@gZ&fNQ+aQErFzN;(4H1G
z22#~mhPE&s7&IH0cgOmvq-QS@sr!w<Y*h&NA)XUjM=C-_KlM=umYwOlZX3d*H^(l0
zz03yX@$GpmRbQxl;jJrGZ3d7X^0u;}gc*J~MxQG?+D#Rd6FBR~YXBYp4vP*LF+!i1
z(rX{xPO3k(Y`*-6KIo6CTF&qKd-=YWQy+aAsay9&gDw^6L7Jnf^Ft+CkQ}@}aPUMa
zwUkfWJBUdSs`h6bsi51z7F?p%{L^n?N7dq01HH-cDvqZ5J>f6*f;?eXqg8`>hKth~
zH0VOR+cGn6$sde_mlxyeYQY|VSqMy5)P-l!ZPTMq*ReNvJ0^CUF3b@hEE$xj1Jir%
zr05K<VhbB8CS&S-*gB6ULllh;NH&G_HJn|+3~cHNXSs*4LYYnH@^ji?xWw~;*J>FX
zB+Ev&tdC&5v*y_Flok~2OGpazSi-{H!?jd@jbmK;wYMj|wV-`d%5lAT5#yx1vMU>%
z#8#O49g2rF;p_FH&1mu>=0t1Pqd)Nr3;lTiE#6xbZd%55y`5XYP6=8(_urhwnCyG1
zl_p7`x_s@^bk_p**iCEYYvKYn>RLHi5=a7VGSPx%WC5F9lSmIEFJVC=$_HO<5y94x
zDY8;%5ljBUJi0QsjBRwE{l;~N2-bwhBkJcCv9Y-N<A!fnF~<e|(N;+!)K?!0)LmM{
zwl-!fpX9D%@yy>(79H1sTcKq!(hrv~H2;a3Q}hQ5ldcFk{zx4@Wy{`qcVrpkN_btM
zI=F?U)|P&&?p6c)46!6%>lN(UTj!!f+S}OuEL*Dr{@uJ7TS*yqUBwzoak&mhXh5Us
zLAmW=Rj}iF{o-8w8s@9~cyY6a79#iUEvU>>fedN+6Fqb5*d2KR&V9P{u=Cwag6FR?
z6rZ@8r*-)ccKCzUbaod5uqK(^ymLqyDp}o#+NxVvoO@^H%OocFo6eRJSfd1Izt;pV
z^8CY0+R>2Je=NY3*<~w4P=bnH^Bo$c9V{aJ_M6v9Z165TuXr(85gscSj~l$9fy$fy
z-KPdPAYHrECZ1mrbfn_y7isCh*{A>OURQ1~n&Jt`N>PA}d37Pu33_m;ag8@-<%LwO
ziE<i61wca<S6UVs;5DQq8QkQ9`S|w(CH3-P-owxMA(IKl){4jflNW&Kf7A0DyFByv
z@JWmN*H}PqyV{+3RuJ0BXLy{X<)L`xcg&jzHrT#m&h-1cFeu47{(U%30P!oPOwzR+
zz_a)z+w_kpEcb`vrfUh{@n%n6haxw;nB#QfvygzckxRHAc?9sS<=IO=#RE1_qo>s%
z1>_jttf-d+uuMMSnsAs8GW&~NxodF{J=HmOu8jbjkq3z;bNrx9&n-WwfrpCEkp^E`
z<Y6_%m{~qY5SF|~R-=$CJiV<idiS(E+&?2sV-zk7=e(3?X8m{1i@KbV-jD}^h9rmb
z4N>@0b}Um=TLC`KdnosnDF7cWNnW8y97e5<4bAc^!Sp}Y#G-sf(AbwruBVfN89Rdg
zM-~;hb4YHF{=n{fZ;Ff^h6BoCDZe?V8r<~=d2-HC1<1I$gop7mKv5f#y(Ox#tA`1h
zvl41xbV&SN`Z6BM63yun6Nqq7KBw%5fd*LTrrGrS%7H5G)dTB$Bq)iy&Z{!8%iY_>
z;vr)MV3QC186B(%P1}(dUR!IzV3LHY&v6B~=fCD@XQKr-bLkl?cIVP(Js)*?e<{Mr
z7Zy_%8@oC;c<EAHtpgi{bCTD6l_553QA1(ZFX~uppOebTaQ|oOh4Z`lYZ>b>@u*N6
zE_sqZ?<ybm(@(jD3#-BEU&R8ObZy9*RX**&ZUpSt%5TSz)nRJ^@YW{UkfSjeUb)u<
z%1x{yFc}TVbG_#n7^MZJhgdg%V*p7X4buO%Xh5f}=V-+RO}O(UMTB#oDO^YmCHwFZ
zVL<;P$2Knsf}@VDx*1U*G>v^APlyQft<P9>yVT*5r3d3_HZ!0XveT;^(tr-Jiz%W)
zDq#A}s-U&d3`z_?m`dtvfX}Sv(Mk~o&<}a7*Ck^Ptn9k0#h?x*rSgG47-b<{=b0_P
zuQ|BbXA@ojsY00OGNUxN6#NQ_momL-4&nptuQ#vm&L?%^+dGj$FjBg3yUN=f+J784
z5z?Rpb8KC=KbvvG`-+Oy3I%iUc((8hO)9`aMq{$A7(KL4bX8saXa*mxzcnSS5Wq%2
zifDagmycd8Y&v?Gfm+~?BR|$;fyNG3E|`84v%~40&>pA2jvdznsZAM(1M;1W`QOx_
zvZ{8bqZD{-%i6cVj04%xrfKE54eDk=LSb6BDI6!asnFX=z=Lo8Pb;6&px?BvdHGhR
z;M$VxCxt{nChcKu;4^ykxPAR@BXu{gUx+Tro)84KfKYecT1GTmO|UF70H_?A(4V&9
zgVEV6xg-H*)D+DUHGTnu$(UP3_9I-7c#y@I^BXfNc<*A44>bXh{}aoc#|mFl!oNon
zS<vMn`g!mB#&AYJ*<)pr0dAAD9puO?=&(V}*2OX-*e>%iDompRr}4e)b<8X%u<GyG
z;UPmfy<h4V;npAQ@l<`kdnGfH%G7*J!*2+y8s!RI=}TDRPt&P(XJ#aWi%FNaGk^<E
z48{$APGR}}`5Vs5Oeo8{>U8!4eF$qI;FhWeu!tNea7t!Eg%1?=d>z#TpC6noa`Xtx
z4nHGYvzH06T1HN*lJy|C+=?BuY@lxYYx>^dXF|p_4T*$AGK3h`tv6ror&fQq_dBr0
zh&cY-F?C$lg~Kw1qSTQwYH2fx(`UE7o>|j#<ghNJ4ZIkCb@UgtSKZlXuMiUwx{{o;
z-lPL1MYM`SiVM_F`gZTe4>6&mp@ADe^>iSkL}}Z0YKb~F;V|(04HNRBJPX+@(%#km
zaarQ^RVsZ8%IdUWMwZUvocyZVki1~Jwl%j-9lI1Xetd-)*`%zeiWF+WHC*^JzI~h2
z?DJxNQLQZKwU%tmwx$+D@VNfR`RFf||G16)o+ef#&vVPZ{;ej2?7?^Tj&D<Cvz|`Q
z{bob4W68d!Z8d>)(kpo=l?M4S`sn;N<UshvwlMZl5;T>Re%#wki<-~G9~iCVMA^Ar
zI@D_<xc8LN*Jqm!u{3LhRC;lvLpH2kuf#}@BT)XQg2I3rjxCutKjlFKRkd;4R3cba
znTZr7Gotg{a^e%uc+nZV4N<~LBD{^T$DYwJqpLMaqqiIR(532wK4zjs2)%Z;U?7YI
z@vXj3#L)_%Ddyyo%ybQyBH0(Fh_fM<&YXM=H$hZl@vuH&m$Nd;UuX&Uup>=1@eP|E
zA#{T0_l^Iu)#1Q9HkYJAPGnD-&lLy|L3zJVzN|A*hw^fYx7AB-6wR~oNL*PAdEFM|
z-uR^k^-=}Xx>G#pXQuq^K~@QLJ~C5w=Y<+f*`4zf;o(E&2CKO_Tv90YCF>K~a5WeU
z&$-#NpC5@mU^r7HfkPsT9R2?Vs)6b8{Z`{S0tnA*#^+-pgZBL!i?X?@1|t?y9$7*{
zD33HuV;zo1-sW5pIhksZnk&3wm?ezbv-01~e3V5Ex{^aOGiqQ$qw({JwJ56k9m#1y
zBp^XI0rP5ibs)Mme0Sy)M<xb$@$nh*h~7RnyJ}q>?j2%y6)`J;3Yl+5DM%?I!#T>8
zqB;$r&Dodocv=coA9d{8pQD6mPlu86cX{(?n~b4y7!G|*U7)8Wsi3i+_1zhpMCj<<
zM=ed3L61BLf2cL8h^`S$&y<p&p6Dj{x*CtH>krzWF;GWe`^!4KV>Q8Xe3ZLtOcoXV
zJa<z&R|9#_6usJeOA9oZ{MzpG5s;_X_;0JLMAWU6)g+pu4JJFz%{ml$B*x-;(3F*g
zZku=Z%8luO*vxam%rgq8w^>VK?HUQSTU(bL05ae&EFN0Fr-*#6CZ@==k<hua(tQn8
zdQez>;Qj4%B{ZlN-dj6ELjDe^oRyXa&@eib!JMLuBxu*p#to9t5r><MM@9|dV91eg
z@6W2B>X&T$N0Uj2XG6xACc+pdGwn{|@Ty4U`70J_Q4+db;<n)_hQasxqqz&&s%RqT
ztER6P5&dxRl74;wK;1!|n|oOm-D^K&-#n>~d}$)*_RyI^Yx(Q@UCe5T?~b5qOQ9-C
z3Q&-COE(3t4}AFlhE-9He%j`;yfWG!czH(xPk|o_jqy>}Rgu(0<4*BO1?2pRn@=K|
z0u3G;%B6!UsPmwOdh0zo<Xo^Q74m@sol{)tj4Ue1jlc2vfg%}{OHsYgzeE8>&sJA|
zT4nUk`<{jFdr4$m?#F5HhXQoo8F`03E288KtMAxV5hRozWBqV9U)Zij{nHFnK=R?O
zSVby7TA7WGD%<7FI{$qCej#~8w9M!ZzRZQL(eHnhaft%jw=%Q%)8r7xGf_L#%Y@j*
z8~vjQ6nHLPGNddei&lmiCmbDVkgb<Y($N-Epf`TFCpk?9-MT;8hX1-sz0dD<qHdSF
zy(NPz+X*;yj6PhqPW~6wf8$K`+jW5B)m~4v&PgJ%{|=lCEa{`hPi9qg-3GWwrN#WJ
z#n9POGp$MYLh3D9GXJs|z>5G!244jcRN%g6D#xQ4i>kddMR3Ky(wK`Q5D6m31uk5w
z*%yo(d%JvbH>aAjCf~6~^CJ`XPiOMSzhg!Z9g_547=vxLHk;jbUZhuiU9>`J7#p(-
z_OktE1k;?km6pJbDop|v!k-Ld8P!8eN<2m|%sk3MJI0Qd#(>_Ie;CuibjxUL3}Ne3
zpSR~A3%U(1VU&l1Sl$KU?ygt^2<XSxt}8PkvAcwZM>G8xt+z;FM6W)yULg*?ZlXtG
z!80bC!Mzw4{YKm{ULTU-W0c5CT9j6y=hG7Y3ELc{c~yE*59&iA@Zvc;)U;B6<s9E8
z?7B=p4t0=0zhOIeKHx94ZJDl`rLzM2>lj<prc8$a0RRC1{|uLRIMsg?fUWGkXZCe3
z7uVjt$F+-$3Jn<*ic-i*KT$?VBqWrSQOQW5sP8AG%!Hzp>^&0M>({^MzjL1RJn#GR
z!~I`P#cMcCiMGhq!DCqSvk24dByEVuU#T*;TETCX_ESBEUf`}TJ@U5}w7}JPt^dC1
z622NaWi-e60dIjQ+j>_mSTcI5)swo2-)_Y07UMqSG0ho!-n43h?SjE{f#L$bMm$T~
zx%w3^{aQZPjA_EaT*JO>#y|Mb_K)`9qd)K{q3FnlDh=2*v^K~iIgbxr8`<DKI)Lw5
zV{c7X(*WAYFLw|BoWsXn_qRM|8O9Gt8#l9-t3y?X$WCG3EWWwmeWA2=6we&8H<40T
z2L@5iB1^qlJf4u`85%NyEBo-p)Ksg1>j6@E@AwRUKKjVjb?P*3z1eJvgBsi(@*-Lf
z&)|tQAM*?3=J2x)ByX8E3Q*EEr=JmK@e3KDtxr?u@e^r^%$-Lmz*WE;dZcs~k2dFt
z*OXnr?c$WDFZZhgS4xW2?T|U#F!%7=`sPKvRz>;Fdp1>gaK~8T?d9LN-<?MAOIpIG
z69e|S8mmCBbCgT!iFy3ufN({W-wN(jP*Z9gq6}MOm+plT|KN(5Z|pMt*Kqbs<!H|;
zGU)vmC11e4fOA=#QoMd=1FvzHPi)#yf~{M+WDed%oa@t4(d~sTyo`-{JHk>48ub!O
z1@-^po`KaVMaDFUW%j|B>sg9$Ip%9yYU~pJp`^IjC65-d)z5f{E|5Sy^M>!MwPoDU
zsN`w3G(8G2bhox~Ac0oLe4k#%Dn1*q|K?l+1G*k#^yO$Z5u6+Nib-zkc>9MDd!bZD
zL>NpzmMKSs8`fchLN1$lgVTBkDUKPr*PpCCnxz2t)Z7fFm~EVfPS5mu2`gIci!oCW
zQ~(AR^Csg9G{|o(FMx)T1HCNgd~qY20ELwf@7{c%Mc$2)xjDDFkf&eUyrUuk`YQH@
zH0jZ!vvsb^Q<^*ok+}L@-pPa3H$&>_4hA$i>11Dr^CETj%BVVTd6+8Ny0MtTh^jr+
z>p%PRqwp`P0bhmXLDoS}Zs#I13K)H~>}(~7rp{fTrhb!yB*OE1ei^JtJl--S(?%Fg
zMsr_YEs_J?;C+FvBkU-6)A+>qNKq8d=@@U5AO}R^u!iz!F63~)&S(FqIFhL_HeimH
z1D?a@!_@_O(9iLwsq~j6k?~3oIqaq!<V*{%b!GA*w=bdMK$1p<^T!`v!R6q~Lyu>B
z4f)YNo15)N%4ATr#+{GPIpiV5k1^ouE<t2HtoXLgQ4T$<SXyw5mIwNWP2!i9g-~9p
zpzC2i0$M6L_Ux1_0dCV;C9iXdqURzxIc>ic5Sh<Aw{3+0DvVNBqxXxWhKhxiqEQl(
zJ-pG&%S43P_?_B>x4Y5Ya}#Rayb=-_=(6=cM1s0@$_QQ}g?zr<$w#az$ns=FO5}<n
zbh1CCsbZHw52W7c_z6(Z?;BMIMkdMN@TAbD@jqFl+!?ZxBBO>xH&#WS>Z*cSl%L7^
zjvUgJ*WDn?tD{zPHA~Ya3OvgRc3Dj%AnHZ!&K^DuG%Qj4vnxs+T!^v?!{S7A)HBlb
z!mtK1NdDz-Le&JB4EvYFCnV%{(9b0%P7~Qxa;GS0YD4L(aO+TIC1lTfOYHrECaUni
z@VnVT7yfo6@A-9`jOww*bU9%yBy_1({%Wc|NLu*l2@Wcw3%SBPvNM`!MlA;}jv9i~
z>Fsl3YbuCiRpG0nmnPZ_6QLO~z<|c6(q*kn6=nZ8<?=gP1L^gS@BGFAQoq0C7+0sD
zpUzJOq|MY(S+Vn<xHc0w`Pi2+z>$JJb3}Z*`;3Cl(`^=itEIy0)^ksenp4nf_bajX
zSITH!e-I*~OhK2^$?*g$1%<_J;XCCd)a!UREKA4?xXzc4O`EBrnjNpKx(o7X$>?M4
zy>K&d9WVK7Dy@Pp1h;8)=}4n~yL<UDkIkTcnvPUlNk+38>>~s-QIumYb^tv<!oM!+
z-+a5{*4-LrC8QsxY`j&<i+C#e2?s8l0fV^x{?{rbWL14I(egbL+Sc)<ch)e2-)y<|
zmo*ho5g}bdacTv}!|#biwV1;A*Vz$kqCA>mPs+;N{TbhBo%xbtZwl0aMhRgdS;YOO
z`Pz`*1m>L}bT^=h3X?$r)?)0^=wZhhc4z)IEHRPRbIO1Uq5|i~C!}_x3O>uIwNP3Z
zQT=i$q{IYnHppuobP`3;YX$VA-Mc_EmSA;!w+U#Lrxo3(7esxBuz33lCfGBdVlbHo
zz*3a$E$PRH#3o;uJA1PLC%e7dX-<GMK74dBPTc6_>~R~tbF4t3S3Ybifx*rH^bX$G
z#fEB%a`~5*SfR=JOI9Jt7z&v7MXmMkLU{$fAFagMp!QK}!nlbMsAMPZyQ)KrHZN{_
zEYh&S`LkAkl1>_eZbk65d#vlY*OeJ2sAGlChntiq(hR_OO2|qodI85bAGlU}u)?B?
zY_evnKJ@NYus9bxj>j_xO(Pms@V5~B^MpemG|GrWgHzr3&`_jKSOE*D@=^TKob@1u
zcWMvSJ{=F-xD-h|!~)Rw$&~s?7otA<_^{A+Vy)RMB||bS@L(#4O`c8{BIG!pN0kp^
z!rzKUH<(zU?>z4K#zO}jL=_`%#!q4?-Ivf=b{5EBiX1HXs11`0G8|(E=CSixPS4de
zSRi1XLnlr{8$63!Iuf%MvCF9+eqQ>I1!VcD4Uz>~u<uNuTYBCyRzVKhW}asO`+ZL|
zjKsAdU^8U@o{%+6z<l_L<~3HRdnNh3_O>Rx7l`GYC2e9$QVSH#y=<TwG;}paR1?ha
zI5f4r+r~P+NmVN9u*1b8ryiu-*8qpO1Ht7*G|(o(TT9)?0k=MXtnXLW0Ir)|ca)}S
zfxW6)7Nv56L;IQFC|n&X^9ziBQ0PH9bM8(oEjLiM)-zL_)L~!Rkl0!T0}vkuz8&n~
zhHFe`hcp+};EU#+;Ha)$@RH!~|LqkIaP6@keUPpO1e;_=V_hcTp3K<q_nH^vH+yVl
zjMbo#x~H+dlo{SUnJKF2<%4Zsg_vEl6tMRc4y@K^g*2_StvNmc2){<S|016PF+=)x
zNBh|z`@y9yhtq<PFT206%#8xsj}A)l<Z*zf+{t_7ej#w&-r$dyqd<y+S&QIhE=aES
z{M;BQ0`WQR=YI^VLMV2Iu<tE5oH@s*=0*|&4hbgbL#e8ebjlXFe&vBNx42mbS_ueB
zE$H*yuL{k#r#W73@dB0kvq##-ZdiJmzaT_bh2W37d0Pzl;buhSulGq(P*oiLdqhGN
zGWv~UhEfDT^rcQ+;8SUEZW<nlRZ<1F0cHcjwjk(x5S=6YW#H_@Rsn~LDokd6?u)r9
z40-Wq8+Oac!EEi<(%wQ<Xk_LIFO(C7HQm$3D}nMr9CUJT<Dh_N)kBZwUt-{0r&7Pt
zNq`l`Bktm^6yVJ1=6e220+KVN`PB@GKx<-u<M=xYNae1sUb!a;zZ~}#J$XWcv?TMi
zQmPspn)dnB*dYZkPM)<i7FPlm1<s0vpK36%b=g<ymo#*8+O(XCBSUh{lFn?JIyh^k
z7EUe5fcfa-A#79`uBM1vt@>!d<EHSa2OM&sO?@$U^xs{sw};GpJ*o*Ki~nJqO7ie-
zyjgRHNCANx+~WcMTF@<9txmKg0PDdrZm9wa9Q<m1<KaDRSTFD&mUC4AmldrZGX^yX
zWnO+VKBWVN4?D6#yor!~C1|(EKaU)#y17oY)dN~<bAvfI5=8o3Av|?dgA+uPtNBPD
zLbfJS2QWogs{Hn3Ra*_1|8@)Y8X3ZH?iG^@G)hpG+L`S$NrAAKDxKC^BY2dc-MfBA
z33#7$CV2T!;K6yB!aWoW7=Fo)*|Cse_^H=K{3%ta+M1EFv;xrUv*LHKAcM76`=Qwf
z$`Ha+u(mn@VAUUe-((*d7Wde&3nVFlf%aogj|(PXX3N(uB}s;CVOFk(>LkD`rO45f
zCUEKzdGA1t5{L}P*rh)qfSmf@gd{2z<WA7=1WG8u`5-&30(Lp5G-&z38A*ll%z)ks
zdqpVV$vAP#R~nj`j00%yQ6Zuz{<^RW30_*d^fJAafY-6f?GGPNfnZ^ke^Q?aM~Xa}
zECz+)2z9B!?gkZlQwoKMI|T4)eM0y6H2*(N$dd(6QbC3>HqE+J9y+Sr*B^RwgS`os
zA4;SGSCnI4o}C=rOnD_Q+Q0&ZUiruQ`%FOZ%647)lnm6MbE6w|^l;=;c(P}#3GB(b
zcKk<-G#Ia4sCn$Ug=HAV(IzOE!0naf4^#yy_!4w|!bf2VYo`kmF?$ElW;gi3qDTVv
z4Ycg}W;}~Y50d&jjsWcQ{X6kgLJTxSw^|Nq4`Z#WS2H(8F?f?15)xM}4Ec<zNxJzx
zSO~nB+{=%_1Dma1gQ0@Z9l>;qx4ap9a-X(7-OLzXId&ybPw+#pdVO)l-dgPOsGlr^
z8bQ37-@}1$UikiBP&uE;6U=2g*;lvR5Q>A1t_;+1gK=4cPb}R-EdE1x0@thov@M&L
z3-9NIa7oTHr1vG5(G}zGys8G!YTW*rE0PUf2FtH!Grh$4ek^La2kXP0FHx?WYs{b%
z!T(Oe<UKaf_PTtjUJojc3{R)vj4-d%{2q0+VZ|S_tzYx&0ZA`t*X|Yuc<tG%SM2!(
zD`nq0pYE#*vW{`5KMK(U%%7SkyY^xqSZFq#KI(w(jzvIe9xeRHj2kREGJvtQ`tpBQ
z(1CB4O$K>AXdv_OpLOq&VeGinz1GEly}8@bTdk*f8@qjxMZZsY9J@VgpBJ^P1*yAJ
z#^+}?vHC--t5<WTu<0<Kz3wNpV6oazJU4a&v+vN}s@0mqj-7r+KHsegUeT@M=<GW7
z(R6Fiy@h#9y|VChmW?L76@T`f=H42H$}%ncyB9G05##T-A2i^ZtF%BX&l;BZROI@H
zroY&g^oAonW*Ts*FD83`{VFzG;H0ngX&H0BZAaVuK^-ukgB1xSt5^v`WM=UADrV;R
zWazq$IxyPYe<Ibkik<9vd^uHQ1Cu=4*CyJn2FYT4Vd2tiSfH0eUboK{rsryM-S4;>
zyeLnoep0lCb^iRB#?rfk)z5}&UHMCaoa23;{Ew|;Uk=U*ko0K5?y*hU@oN-_-OfBM
zYrcV5*|=ZM&8CC9ajkViG88ZsI&|~RkxlG%`(vj=LJW{6y_M#6Nfjjj#9wRA-@=66
z9f*u8+Xc^cj|axQQGx%Q))Ionb})Jov+8(nCQ!UX$J5WG0*<AsY8A(6K-}-H=rWZB
zisJ<7ULR715kmW<*8y5MGANn(z?==v@L6ZaJSW5D`igF24>~wrCEasBkOM;K3?J7B
zlVK=Xqqskj9?X^tcVit~Fe3A?cQIB8*lH?EHM$v~?tGH|6*V3RT;20)Wk(T6Iqcj%
zR7Oy~nL_xL!3%N`)N`d*6@l^9)%593CJ=Cv?NSoshsj$zd(;FKfq!<g$}fQhrh4C~
zZXf|jQdpAjd_jVT4U2x=zHD%G;%M?{f)Ef-*)+<YB!P(zgXZ3F4ye4S;2L#N1d=Ng
z)ffmQxGc~RDe;mEvg|6o?b5}7W%KR3qIDt=;;%Rl3GhIw#xt?|y%Lc3El;mtln86h
zd5_0V^FprlByBB03WV?5($Y;4;U?d)Dvv%sD2zR=UKAn?pHkUujoC<Wc$4oKtG@u0
z+--0P9gqQBrRjs4EeTlPwbukm3xPyiMJ<<y9OO-&wpn{lf@+_ShgX+`VTts(<?gCH
zn3xWoR<=|Gr$bh!Zp@0pgZK0K{sjskHoO#A%%TLLeqH;XGE2bFxaQXfCrFT6;?15+
zM+UO!vM{@)BwT-NTRNqt1ZP~==?>~DgO2}e+L|sYP#9AlQ)5zwAxeuwVucDwQJ}e;
zPX-E^(r-EaQ~@1ci?2rd6zGc|XFca33sXr`fBg4TVEL6Y+1XSLUS$u<GQW}oiA>wK
z6J#~GCN_OvDp(!*BNCQ_MF_ClXngON1vQZ1)GJKv(tw`_P5ENN6(E1JYThPC9mp*m
zE{lh?!0^Z^?q}UZ=xA&5y(OsuL~s4v9F~8+`gE_QHsK#1%j|m612n)u<hCBxs|(iu
zeQTF-SAt0Q8pZrX4NxMsDVDw0huJ8`l%jAl@b5^zbNAGMLibgx`qzeVewF*z6<=jY
z{H{6kYhE4f%F9)gtBv6d*EgL!q6%c?d!5bFR0sE|Bu*9wfV$cHZXb(P;9So6&V8zC
zFmC?TO+niP<`VqP{YF$k^QOUO>nBw><5un5OGkyS*H%lO-74VW#87dqoeWD~wB~=5
zQ9-$Hp5<JG3Jm@6k=?mO0(ajNQ}=aD!TZRMmh>KF7!QeQ<k^&mM=i(gMl(zyqK;pi
zdxi|UDsn@7XJkP6%-iU`R#Q0Ocj>?mQUcdGwNrf~5|Cf#z)kpJ3Y8?0xi&XNU@dAH
zf9N0te-EmqA8IfKa{MsmOcxRKw<}H;+x+`q!7}2-6jNAT_<Jo{K><b{L^NL=V}i=K
z0;PRaQ+R&$T1CFMJj5wl^Idh=!k(*NY<oFC1s_B1KTq$<!o>lH8L_l!%;w7R9Gml0
zxNOA{<I*h+R$1<;R)G~*Ph1goa@7PH2UzwF3QEDTAVYTB?LoXz>hAmOizdLhZ=q(S
zO&qLiJCA*RH;*UVk_aiA0QSxNjTV_AV60TV^(uZDmmf3Ek@^qd*Y_qXVyYlS->t6j
z$XmzXkM+j>p#@-^FVZI?J{a4_vuto^3x5z?=uY6pV8USQTrGhIIwR7E`1&@^cR$I&
zl4uOqGd^>FP2hlop7s~!-tFLS`5X^>EsVfLMa;HZn*}K0v}b3hc5ud5WAij;4dJKU
z_gEF%U9dg*v>0-C@av9C(l>GqpySaU#mYunpwNg%2h;4}Vc8*L<gfaG6z~3LXTF7X
z9RKOJOJf@+^Q0%8=GO<UfKPpKMJt$E^yF0|+bz8I=dGFc!+Nk8)Bn1wcmcEWnRuq-
zxrygr-m`10NEa-YGJ@_0&R|D>?0)&;@&+E-l=;GNLkHBG6x^R>j9@HTC(33j*YRJ4
zt#xM(=zx9QD?f_C5A4Wifpa<x|GKj^cv7NL8_otl3R<XW!=z?nC(1+C@KY=*vRi`M
zFh4x+ubftjojqvvu$p%b7r?fg8zQwJS#ejoo_q}+;wzYc^xG<~o}B*CU{({>bOO!7
zKDFTtf8^Tm=2d*@kn05{H%$n7bMo)Nd^gT%&k=QWdKJInl#}c8RRccWSWUxhe&HTf
zJtwUU)^PJ?o@;G(8sODC5zCo8gnPWpZt$vI!{6~g($)W@4jt15d!^AR9?^cv>Zad1
z9${9}m}ajInG)3kqs<dIk4kpS8@mnM*GPBg-9K(#x4IWsT|14_l$3Y!du`&J9X}Xe
zx~oC%sag8@yK}hhXNMn56<fFgO|kjOISO#NL>^;6^Z1L=+a*5gJ9tHoWEdVv0hXPe
z=wZzTT;blBxqdJW!lxxZ*Yi^#o^3^6t#T0`iyC14bB-2CswbuXI;;xcv>xyIiY?)~
zKfaQd6X=k{y}<pq(o{fBtScnFe;Fq?{4`SeK#!s&&G)_TQihk4`n812RlLak{r)Do
zT}T<*Jbg(_8D3`x+&1!E$B#@gc3M1QM4#V~C7FH6FqR*EC)a%w|9$kvRHzd(TKT3p
zn_sU4&L=wlC`4@If(6$j;#67DiTh!vie;2wZdU(RkOvJa^psRz&|yb@9`C;=CMrU+
zF=3iFmli$Gql--q<V3%r?P}i^369CQ3sx@Dp_?Bri|q~MMh$jZZFb=#@GVl{03Qa#
z+meL6Yvw_Xgk##TX-N=VNY~ZAwF^Dgy277B<wHyJ$VWAu2t5~mMif>vA>1xX@pvCU
zy0L%7ZCr~8p=$?Ab+TB{Sw}(z$`wSvqS@QLMipR+aDtOi$cD;1TcUhpg%R7R*!%E*
zyh?ea!3;wjNM8T?j?f)Z^w(Ue+%i-FzBQFa)DgLn+gLm1{zDw)#g3hIa#sL@qN$#_
zi#%vXT_E#;jU+m#Dq)@fZ=Ugm*5~aEFUmZWSundIh4AJJ`b7~6fS44XYhB_;$Jt*@
zQ;y4^2*Si2{~86Tn~3|Qt}2K=Jo>YCU_utPWwut`6DGnJVb9BF7=#gzK#s+qSa}rH
zW}|W`p9pt`eHN^?MNs2=qr3G+3TRlYi2e5w5=_V4@+p-NM=KK+b6%_@)O1VFH(;+K
zw51uMUeDcV>t@$7$D|^1>|CX6hbX~&ALpYfUQ%e6wiT`P7cv@Y(bH?6AVW@p^_bmL
zX~eoF96a_;1*Mb)D+?5;K-leG=T&-HbYN$NQNWpk(m&kft~*2liB?mKQExfqZ?;&z
zK~+OMTJe%KNot_2I`iNDuky&?<c!v933Wv3J!Ymos}5D6Ck%8f70@T&u_Ufv>d3iF
z@s!s^O-Nq56(dniL~D;;Tf~NGAl|52Q#UPb;H|f6mzGdO1mdT3wowg~FgB8PT~HTT
zwrmCH&M6@~wy1Nt0-9*-J;P%|A${;}urEGRKt_0=u!t?KCen@LOLZn2g50f+KSIxx
zQ5g4@p?{tRB66SijkPp}YNf;s)<hN5FwuOVXHFeCwKy{kDFN`9X776`uZm`~e!}>S
z8lv65(PtoU0u}Feu^WV`qT9S7(;9gcq!;EfbeWL~Kc9`6^G2$oBS9B}xD`~8cbZR-
z*~fqV$Q?N|prMM~ZzL@{l_(<KA(2~s?xygHt@V0$rV1)KFU!63mw>!^Iwu6$O<{=Z
zz3019WmNZ$-dda}i<HBJ?XPm1fh-JJwnUQAm9WHhp`P97uKtDTXo49iM9#%D@GGGV
z@qPhYB!rT~E_gTco5A`Cx2zLkBs7_E;QVfk2i2#HIimqn=!%#TwR)w1#%eE>>dr8t
zWzN{AjsN&tvrWhm8IeaqkMvqB`_^y`U$v%CB~ut>5{Yf2lS3&Mi$X5yL-<e9;5qi{
ze|xRQ$O%fzpxviK{`%W?VlgQ(3Ol+~sKsnu*{!6I7&^6`**=F^Fn(I^d0_&J3L}lY
z+u~?*|J#_Jsuj%o@bg3oH4_Lv9NA%)DS`}Ky)!@l*uw6Jo$~j33c#Kf_qYDIASzbz
z-)}5J3sqM`S^nu0?4N%z81BP|Dp1^anrn2hr8vBI{ul<Izr=myF6KtDmtE2dPtXHh
z4+9hJS!4K5sgPUSf*rj#6ISZ^L=Swid!kBWjlj30-$$#02|fH^_gHh39&BAMWvmw)
zLbi~~&$=Xf^yofWJ`vHwsC7zj{ucvCD$EaXFWAAGpOq8zF3>}CW#ga<ivegwJYBrG
zvWoxGHhWdcM-Lw_&0gWP(1*EnajF>2BHlr)f5-cX4lGW^%hx67flnpZ^uwdm_)=qL
zLl#B{mY%Ox?{@0~Hu`y~Z)gzbh_VUL?x%$Z?gc}-q<{R~eQx&Ua3_ArFn;LIbz0!P
z@ySgfS_eKW@6V#-l;WG6$3pkp(?VHB(D_dT+EAs;QOsud4)cnTtA9bF1%s(<XLfUK
zQ2hAX=HiF1m~Q{Jd$Kq!=)SSfzgnsVue_M}Y}^Jg;)eL1$BML2G;6%NDy{{+v9|fy
z?xWcKMX@fogS3#5*x0U>q6w7JLvI$gCb7uhdW+S$|GHUU8+e#CVPvq|-^ykVBc`^n
zrZCU}WipWF^i>U5ecV$Pp!x^<w6W>&B7qL@R{gt#T^g`4bvC6zb`iVt<*45Vg&tIj
zITkb%)WPicOo<)a5@wC+U)iqG!;7z9KVRch2cEZ!p(V4+Sg5g_=bJ$W_*UbzE_GiG
z^hg0S%N?s&NB4n<)VW>I9^`GhrLG1|nTg5+Z`QFrVizqfq?kb2CU}F`M1h_OkDP{A
zo0!?bUhBJ|%uqNvf4%BB1>{xZmK$2OF-gv!D1VIwnr|k1yrrXn(ROvo)I}Qbbu_wC
zT)+mZx~qTsY*b;TC}rI{pB4ma=3N~lIiN|puW}$)1-#UP?wkLlgJ_S4&#BkAU?@#A
znrTfLo_js`7(iwKV~b0Rox|MV`myZ5>@j8NdLrC5nZ65NtxgXn?&gJMpB+E@&tzD+
z=(YVqj0r4MM8$i9`M_DHWm;$-84?O_FRmbFuxo4hfadr?J|}>B`1?QqHX%Ap#IwSv
zqL_+Hydcb!VTmUKm7s^{68|lj9f}+RHtNlVf#Z{PYrTXL{4_r%pq9)DES#>^k|a_1
zE@&@m-Kz*E?boffPjQ3n@|C~<O>ywlj1HH0q6op=E2rZg@Bo7?#XR}cZV;h83iUS?
z0b<{TwXE>MuV%BA<r7k%%a{`=bxRTGw4$!P@a6}>(<$L*Po#l6+a)ITnIg!<6SaQ*
z6##vw0?{@mS=jr<%xL_NBAnmY8Ys^b0+YPw*T~^=V0Qej%{eC}kQ$S=+3zO;{{sL3
z|NjhEcQ}=A7|tepW@jJsIOo{&yR8<LQ4|VAlvK2%P%=s-l~goDR3hqED*8S$Bb6jV
zN>oJlUO#_6@AX{o^*s0WzW0dTa^ju~n+EodaBZ6C(m`YAlcTYl<PezLxz_Op4e?pM
z=U!y!qW;kx!KeTQC>?s~FX*6!YawZZE?4v*;8StrRq}H9)4p8MpVr2)h4SR{WppUM
zND1;AP{RHLOz!(nb#d;i{tZQG28`Jzd5);6Aia*G`221<t~%^H*geERjg*w{<?X8Y
zbWiNlKYj-4sOtDXgG}@$n{w3Us=+*BV;KE216o}Hn@Xe%@NqWep7D%2;&W`A8_zJ2
zzVSC__jW^AXFS``xSEDq%}PeG8VjCUJ9xH#F@nOU&HJK~H8I@i@=xYE3(1Gi);RAm
z0pIh8n8|lq7<cU0Jp6-&V?PgHiBL7eBe}C0^CQ|gu;0wLe1rvF9=<}_fH{7<@y}kH
z(Sh4zGb68R7KB|x>!&L%Q9gaM>tw4gOsw_YpLw#-c4VPq#Z7B?d}1nQpV7m}<_E8S
z=P*%U@>9^+065^4wXc2&9RV(_iR4oTnw{xRyLfF-pzgHB!Gw;9fR@81y!z;ryd)@I
zWdq0A>zd(ObnrUT`HtG?!l7(e<cA<znEriN74caQBGDFGwDh$g=efh`;U8P<9nh>X
zveZMRy!CCD0d=e%JmYxB&JI#7=ZZu8bg^<shu!^-3aIj|g_a|BkTj!DMmp-i!?JIS
zb)_Qo@7~yUDZvg3u?ayf?Aj2x+gr0aT^jEk63Ra;_79Zq33R@w34`xJyFUzy;ilpH
z?cdhep~c{F<{ma0M9Oa@1ij#gk<XdpH=K4b{94-eW{W!VqIb%5e`kla6YELwLtFSz
zcX{0&t0LO>)3aV`oUn;b)2p?&1^bDw@v7`9xTu#dx9>$4QQP48XJ?}g{3F#jPkSms
zsnA7M=j%0sRKQBVt&6z5QXJoNQUOJ?DQRmDwUdYcY7sBG0bvuO|L%TSbU!KduL$cU
zjl2AxP`iOkLYvwela`@F?pmDJ!6EYF+4u<iUIHV&%T-&xNg(}8@t1v@MoF1XViWTV
z)`&?eJsj#Q2E||fN!DuP<O>U{9dh#4;GavHye%byZ9=u5{KY58G0U}jeuNcPHCh?)
zu?wKCFow~#X@cxo*?V1OmnGC6k6Ep<<b~*|ru$>dC&&{fF>c$^Eb#k5SkL}1oX{~|
zUQ(4fPOfdRFdF=9j=LciXMVh6L%rM}tEG61q&O;aPDq*KMfamYPu4u4R#D;or)rcu
zvMcv~!4@;Ton+X`2TT#o2h>uEs1Z{1O+}mLLsMwyU6j+&7$f4tEghQw8z$BKjsBgU
zH^CF(YsOW9Lj+ga-LoErLu7D<DfW4ofUAA#iLO~6A<bIa9{hTc+`RVX>y-bD@hs0#
zvvBV(qJDS9#d&goG<wo_^s%%t(w?n4FX#1x&^4<m^f3NMX7dJ|h=?-6WKgB9)Y}%K
zNxb~-s_s5=|Lzf#_8B5&>Q}|{p^wDCnLruo4}Zz90-Z+3Eru9P*<N>1sFFB&YT$k3
zWG|VaJTE-((E#Ji54QN-c|v%*aRsUQ^pYkoIjNIt3>M$7QYz<~X!4$IG1~-3FM0S|
zX?JHO3jqfv3r;`zk6e|@wKV2e583N|S7KlV3vc>jElwA_A;m;Xyja}5q>xlpPr_R!
zq?ASa@72_jJx$Ul4sPouJNLa$OLbvF;-a(F<E)RQx0&gIvFTp2!~4=B_BIBRzJ>{o
z>wPAZSAQY$-v1>bzb~U;Cj;&^4Kt_DH<R%b5Bhn3^pUi-wqoTmePl+iRH$rfB{To-
zDjCrKN7f7b3&|<yLxcA5bB9C+DY$>v%WowE<RiPfF<nPGRGSBq=Cps1@cK4%q;ind
zeYN$zX`~(|4>7h`eCi~1EBbpT-w%;Xv&H9CUg)AncILTILKj)c7ym_nZkRl~SvRL~
zQU?;pmWb-Q{vuo0y-vV+lzf&um}+jVgFZ5Co^JSu{BkU6^1s?KlCw%NVnu>B6h{v(
zDKP9MEh}VJp9z~F>7$dI23oY>m3cPWXLBF<qeLiHZ`Bm(o#XD!VrU`gFsUP&v$)T~
z<g;_mGo<-iszE$a6Q7ouZV$OMNT!_n7`{AdjwE^ydEM@(p{q-<NA%wiDRZiZ8sS<(
zeQ62w`L}_F%`D!yErBECTkZ8*%lz4>#Gg?u%gZ$26Z$oFjD3uxKRcG4{+pdTwXYz`
z-$(;RyLBR}%E!s#WnV@YE^<<yQ~H6kdFq&u>?g$wCdq(ZsgFtnxv8U1{WL7})$x;O
zKgW@}X>zl!Vy|KdFQt^v_vGv|HGKbW-#aBYM;@>ZOe?;(l*&z0oj%~82FAJaIMJ*H
z(rlEf$dwVKe(&rFzSX9Rk1spRT8!DK_AXJe&{|>Yq+ao@)(BO+QN7}%_nMtbQa^We
z&R3Kge0mYuG*x(5#B}iN=A?ezbYyR26Q|OBwjHc!Q^DVG*qYjNQ?m;?iD|VG)RnnM
z(>k|Quu-5|vt<o0wd_a6_wS`rlm?N%oW4&52bY9pJI5@gELI7XulOTPCH>j+Vb(<j
zn~I~NoyG(xLS^%Xa9cUb<W+d7`AQY6Q=1ignITMBzn=@0YE+<Jt3JsUc2j}8$QPNm
zRg3dI@Ha7WR-%kv^E+D|RRLdz=5gw$7=@W{1mm+Z<(`utVf0!BFs<2=nJGbeg(QDk
za!i%dQK}lyU);<1TF6PB^HLO%dQ4KDP^StCHJhwns>0^?krsM}H02%Y8YQPjqn_Ku
z=6Re@!=9qr*2zv;YRjtTy}>js>Z66!L*H<9crE)Jl<A^Ced^Za>UPkff*E)&{Za!p
z>KsjR|CUqb|A{=<cubF4)wE({#7+~}T)iy3yp<`he<LXq#rhOq`n+hJiZ)^{t`~dT
zq(Zfb-uWKN#-zN5zRPX()y0;wzw34V)hMs9Gy5tPS=3=~>4I1;eSEY0s#(57gQAXY
z_NVI^P?`Iq-=qpKp?E+r$2glt9amc|>!fT*X)1hmig?dLh1oe>7iTSsQ~uY*)_z0k
zKQBHz@~t7RrO=bRhPA2et1&997$Zt?ujwhbX=4m}6^m7#(xsZ5qc_k#8&NsaZyrr-
zG=tU4w4FTTdQ_#n_olrKMpS`Kyhr8-3y6%4Mjf=!r^0s#{dV7HME#k7{-I6QaJep%
zQmDe9$~|xOKgu?wlB*Jt9SlV1vMPU`WKcmFhr-VsHlWtJT7Ff(ZUghTi8;na3~H66
zN$R0rOzPA>aSiT8o%O<_Pa3Zol(u`DLk2s8`jYgsswmkGZvtcIoRS%oW?jA{RjNZt
z?j4Y4tg=U8!p7rI4H=Yu^&06pLmK7WS`{@?VUPLC@m!7T^(m)&{bp5{Rj9-$_S}0*
z9Z)`&_58#SJ?h?-7(XFRd8)m8XJ?PJ1ExpH-rUmBr8ry1|Ezl@PSse85Siol=-Es=
z_|i(7Dh^70YURL7wbyq?^*^*nrg^NGt)?b5sU!S)sn|GaxbI+XtBpOPRM!f6&8SmR
z;<qi&UAsW^X*6qxmD+(b-+QdRLY30k=q2HHbeK>(5~0(?vV)18O=Rw6WvVefM#my-
z304VR=xR>0MV{F%<NPi~YA8sg^w$^{M2ZBr)pFY6a%SlgiF#S;$XECFO0K2&%>Ipe
zc8?A0X&u39hNP%N_lEng{Sbf;?^TO}HsHL|){}D^#VMZ|tx=guA^g_=vhdy+sFYNT
z^;#lA1(p5YZ`mu1;O|r01FsU8t^Zqh;3prYu-CbI#99P*J9fyJ-mpg0ROsqpS57Lq
zdq-&F1`(8fx@FXyYX$xY?$1L>^W+21^TDwzMX=DriJP^Sklh!#K|f-Q{9A{Q_tZpi
zlU;lM-na!q6GZ-|<@AypwACwU|AaB{jpy{Vt_2Es|1=$yXeQ?yxYM4V7e-VcEHXpP
zaU{QK>dJ@P#K)A`1yfUD<Xx3FDSd8+)jiEFwHI0liv)X)j!_|yG@0hOrDg~_W-{#V
z{F~T1{W8I$P6!EU(j998Oks6-tH=JpL863Rt7Ln*5Ga=Dv!hieP}y<QLHxf_!pOx$
zY}F4T*t3)rZZS--;d+b-^X??k)oZy<M`ID6J+-1fw~g`BbB{}j?JUt+9H`@eMHnCL
zS4SL>GRCschb8yiT_Cczvjn}RMR0Hn+jL&C5nOp%>VNKJ!|o=x{K^Os2xWFp3`!Vb
z!}QhlR|eT(NIzqiFe!rL=}pG;bVI0p&2StI=0q7sl@>iw6fe2+%XjG*B3LN)^rIhK
zxV3I1!rD{}!5cM$Uy=q$QP?6i@6Lle7m5>B&xyg*;Y1QV4WPs!S4Do{MfK3~=AKq@
zJX=0@k}<==@6*qI9&lR<se`pfRgDrDqPx=SGgvrrbeWjjPky-kj?zr|BMCA%Ysp?0
z7GgwKR5-;5q9P`{R6=?g`29}Dhx4%DFEQCCZ7z(FjU7dt{?ZVg?ti<lf{Avkqc-v}
zBG?`9JVoW53|P_kO*+pqp*LM!GkZi7Upj@-Wj4scUw8kNa4#m9hVu_Bj*FrAfEn9?
zDS2G+5S?W=V&WN%bB|-PIFt|FACE0jg!1>O$DT4wY&&_qC-Q{^zU>U0({)yYNJjqS
zlYC4ZGQaH0J1U8u+<>5RXJzC^+<S11n~7CnvjV?um*LM(!zN*06>uAfa<z*xart3J
zdG|eOa5i|SnI2b#rDA7Hwk{KLT8@EnO0o#G=&>5Pr-p77!}*X+Ot808jbr(8P)$FZ
z?BBYm-_GZKUZgPb>zm_>z6}b{%o}Uql%}Ekxbhl>9wy$$-j%s2v>a7`9@Ix~)<j5G
z+eYn0JO^2vM(;wDFjw@#E#rn3?2oi4dVOF4TW)7Gc`GBP@BSOT7HzO@P#!aZ21xSL
z8R~FVL9yxY?pA(Xe1F`&i&w@F*JBD6+SaNftf588RaXxy*ZaTW?=pld$EyDf9M!P0
zH%-fsMaTW0k6sK^8^OkZcSGSybx7>%O<O0S4|``9_m7pvNZ4twe}T|IvtLr+k7|9G
zC$METw3@(w@;lEiIt>aQ+oriy8F(Q6-^4Jd83wy#|7{c2#MOy^g@!f^i1V!*8?iD+
zeSh`|lXgwms>hZ$nKO{+EK75Xw!rD#ef^=yTF~zNr~F!gfpeYdem>QfxK3B?$kNir
z)->O0<z4!a60Gpu%WsVYd4cAlbZroM86y^fbf~0Aaaq_BkXTjY#O&3^mDu14Z3#VS
zW$ihuwFsO4#`hYh`E~HMLZppxL<euZ!_%6c0wO}!H~TDTBirqtpy5p|6l;H7eqG%L
zO1pdb8_Tuvus!yc{AC(G2+0X#McaTUEMP-~w>DICa-BMNsw2GrW`e|Go}JmYbH~AI
zEm%C@vkzdXVkqm`DgH4VoSAKYXDgtEAG<pp%_o&`ZJEAFA-^qt>3f-7)zw6D5C@@l
zM**pvk>&~lw&>W<6SY*I2JO<l$6qAM!28&(&B~KDI8@C#Tp^=@e_!djN2(-ot9b{%
ze1i>QyK;hbN7T@uK2w$IBZkO#X>CPmHrVdzB$HICil_D`<r`iKAypzl_LZj%ils7^
z{ynqkgSOo1`y9uI=M3kL4?;F5cZl7dw?P@76P5XPt8&5UoR~t`E8t%2=Hs_imB6SQ
zt(!c>2JKsS=4!VA>*DW)oS9I75SQdnbK^N8J<-zkIX4jbK((%dl0%E8^MFGBB=K>*
z_p3cF1hlgzShLwO@VtM^*KX|?VLQkkvT(^7TV6?SZGOBAcPqb4&G!xyLdHYRQ%zPl
zKVLLm(=G|^dvW!W{zJqK`>~6~a#r|}V!eaGkU*kp*1}-QAhAtR^WTc?mW%vJD97c9
z!Qq$&=^ijh99(}aa#fxM_J6dnytqOX5qzhfmOmXNw*T#rFrG8VpRkthXg(2auKe;X
zX3r3j*3gl)$=Mvo9$?1iyC817Q}R!a943mA&o#GXn_>9!Z>y#ue!Lu&iSub5A?~XP
ze}2bdhFSFic2E1IP??b%O4vO{wC=SoH}^M1a#?$hVIwbQbLU25SrbHWb?r9A8WZgD
z;QUCX^I-dtth4J>rwFFQPvJ0@38udu*4~xQjWuy$@qFepgvdjYr+SMza{BRDR{47_
zl&x=gU$K9VDDwAuzgo-~NsbacH<?^e{o5zUdcQz8#p(=D@kU5<`dhq|;)F9je3qfX
zhDRC8$s`UVc<fpJb<Yt_EaMqxUweohJE-k#FHaicoWiC4Q=2#;qO(Ovtc3$Rjnfkx
zxDD}EYpcKaR!(&9OZAa-=7Lv;xTocL1N7S$a|Xn7A~51n#M*XlyuQrnek^N%tgjwZ
z{+~JFxGVe@*C}4y<Jo!P)k7AJ4_Lg5u;+r?Ut#gjc1yAR<ZxJo4GVd8a~W!%xgd4s
zwc2GB0Ti3n?vrn0B0J8mT`P_o-_^zHJye9S;`F)D`fw(4)6RP3dh(#tZ$p=%stBU5
zzHj@W#6->A053UbUPS*T<&;;8!boY|+P$?5Se}!gWd`vf^LBs&6(fcxwQ+Hr5e&4f
zk#HWlyA*Lx4}=bW5y!31;m>DT3=HOFe#+t$K<!(d>TC9rsE9Ti%Kx$GtH(72>dy+|
zW&BaMtU4(?D+qV?+^vrl5l^OR7Q&DYKASZXDh=b3)pMJ9^np_0W9!d|VAG*NxAn%d
z$O|d2TJw|++4cVSmCuRdtnZ~LFFAQg=KOBvJ4i>3gwsRCY%y?jzF%`(MG^T?lFy45
z^D>R|AZu%jINEldi}TS?LOo5g?~6GdQj@%`gKCn<d|jaCzE&BNZg=w49O!svJ^ZNQ
zj1=0OQV)y8s-XNh@w_~Qj+5KHO~3L>gT2Q$P5i@Rp7B05$tt2F{i=TI-5eP-XmDO$
zsjZIQ756I$O?}+3>iT)ePY&!IcYkyzYhc*Z#hklLA4H|b9xY=9>{a+3=fI;0L!Y;1
zefA6-9xb^!rM?{enu(?Pr?eK&bsB`r7@$11kcC&3u-<sz0+T}rjR}{6QaqXPa98x4
z&sN5&!sn~@N9y9lr!@)TA}p*eN~l^^rUK0{is#ax9tiu3q1(Dyn7tS{cmAg;_7~p`
zm07Eg_$<XTpRWe6)NgS!;#0@alwTX00|S!}^W<L)7{Yoxx1oT(2CT*9D#G6}(A~q9
znyzMycr&-hmd-TDRPbKdV8+A|pXmIyLnc^lnX^|uP!l)!&$3=eGhy>c<alPMDU^(7
z4%mlifo<g27v^my{Lmogw#^*1#alB<ytHxFK2%`(JQH=~3>Eax0$f`v6&!SQz%Qv8
z^lmj1vgx(eImfL~`6i+{yHN*A2DHZl>lxU+Khimji@^4EMX3xIU5t#Ya|tLg;Fajy
zqh$p=nYKt<enS_o(N4S>p>)jObkYy{12}5*FqY@(f@f+8v2ndF4rE@NQi`;}Ru}t}
zdvUs0v0=N9S(g@+-Q$?;vo`qiuR_#{ri-=lCGpk{G-Rr>iTZA}#p$^HdCBK>ptI}F
z`NRY@)F<84>$+o$aIUi|yGpg;f2SzuTD3Bsso7F`Rkm<GAQ|Cap@rzisHr;)MR>Cv
zTpIe`7O8uF)@;0^34<fAekd=K!BU|Q^Wr78crCyAfcq92Os9jq*KCu3q(F+zrc1W)
z+~|1b8Jh;U*7)DJuOWiS=4Gw38*L$U<Kfub6g9Zc*8P0n!3(!0k)&>3TO4MVDIHZ)
z#SgQSOG8hwgI{Fz_mBBDICtR@qo+U_+?U>qs0U0Fm4+cDn(J)v;M2fkR|h2+#fcZ*
zcr`@OBUH||`~n0%{%2WUrGPX2CT>;5-9$!72f021@P4Yr6R0YO$vC}tAA*{QCn|H*
z2SkAKtE|f}?@A-{J)20zg;&Ie>o-~tttP<Tw=_;*trW^%WoPbm&nK;iQyP2^Si{fc
zWjm*e1l&W`WJX`BAP+r!P0HN0!U+?XTivQ+u-R0WcVW1Wtju{xCN)`NN%C{uT2~Py
zjUT@vt^S^reL5rRDr||0(y)&WUV=#bOIxS5`W^YlOvyiEtp#2MjJ${qT#5~QrL5f@
ztH}?qu2x^ZXb$zs85EWCAgritN!9>G5=!d1a;;_<%Wu*u-NOaL_}N0=4f$kM>9W0&
z+GZ$gIBa&=mjjn~%=4%*E)%z`R|jo8VG1q3?1Zt)Y;gI{_tbxpuZY&%4#@{!OkgFr
zQYM>w3B0=5L<i2-5JzSObblC`K$ZT;P|9zPX!oo;s?*UxY%Qcqy-hX7yBnE2;c_#?
zuh0GOwIo}JnE17RCQFPl($87sWH3c!bZ;`s-P%E@((;2Bf{ifzcBP8I?FpiD*+X@o
z)=pwgPeJ-@t0At@cB)Ko9w&B`+-|-s^ozK5Q*eu*vms8%DsEivIYwM~QE<C@O%D;|
zk=G_(ZGaJl)y#F*M+wx49re1@N7%e#d>^wjz!#^TlS-1K#OsNxwIh84g#6Os=(IO1
zBncjTHCi!3O#PJ^yOTFW{0!mY8ePGHHJN(2GiQWo(C$6B_uvTekp8^r?>i<&Ro==y
ze>p<X&Tkt|TsKBMF{1_#F8cfg(GvN;lOsgx&#8tPs|jM(?yyAsF9ymTXO>;}8zrn+
ztOB7`Q-s}Fvr5?`421i!|2Z}?O3cPl0fC`21V{K&HElr#ob*ydn;(r4qpf!sldtCp
z3ma<vZbyA&KQY~MHffxw@S;8AkXwSBE-%yAQ*=;=-nEb3m>`NWK4r=7VS|t5nG;XT
z^x&~^Hf8$5B$1<DdZo0L9h+aT<C5gl!;0&XIULMsVu`CLJ3WvStvez|8r*fEQt8?}
zUNS=@`CTck7w1N_%BoS#TpiRTn7lPRHb-3f<DBK(&4U*sVSU^AbkM+NPb&yoAZU-P
z+A})%aL@Xa$*(=yICgnQg>U5&ust%Wp5_)nfSK!Qo%Tf^T|OD1ImU*Wa@|KwK0=Fr
z%{cho1}%I}KkC?J%K@@Vc6a1q5l~l_eTZ+;#D^6_;{1i2I5{7zT-GLvgaGZ8_S-e_
z@?`jacL#1f&7t>f*(Qz)9lIiz&C*b>BXOW?fd}Uv^o7XsOJdS}_@`UOBJYGcNhEgh
zVXkoPoyHa^G%#vn&wJ3Y&QY76KEV&wpa*ebAEn_xGvohIfrfvXejHvFLa;JX3i>!I
zi`V_R3q9i+un@J^I_4>Ys;hy|a#twemhx_mk!}sFPw<<Vdm@TKMT7kCn&r4SFL(2I
zzXr~7m-0hb97pbT+`2<3LtkPW_g*m?8nbJ65ET+|{Z?3<`&0$4C)vj<7Uxm13f|oj
zB?Ze%^|k!=YRK&ld{R?JL$1}Dj(5J&FcLLtu;^FE&N>yXg-x2kbX}+K4q4nE8oT{2
zkA{-&bwwAIv=DsEBQ`i$9$7k{^%P>Y@Z_A3yMvN8;z!mV=jm2NLP%NI+#Vg+HJ;>l
z_tC)zd3wVAJSFrkEbR2!u7@zQfH13WUG(Zl+`c%gj9-@@erWg9$4J)9X7?9#)OY-O
zw9!))#We>%J7h7iq_DVFJCp(b1J5UfD%2p*;TdC}%!Jdv0G^scCI+~ie%v$FKym>4
zkA+|s5{8fD3#b~PZS3PvZaxhizFu#$H5cpSNmOmAA=V`FD445iA*1UMmurauk_R-5
zlM{`x-}8gQ-!t0S(UaJCTG0?eTW$UcF7nmWU!Co<Z90ges}&2|7$T>mX!iO!bKF>(
z!@44*hvz42pGeCYLTQ*X6wkNBi(u<)YY93+-x;;<%rbz%4yGa3Cu^9}Zg5}iq~lV=
z{P5#87OsRRu718B*!GpvN@K4+SV8J*;>#BQzgfte$lW%OEnix)vOpi|a?5%bwlH8N
z|6De3jV-cuWtZ^W)d%lK?eXqIdN|N4dP<SY4ynsB@@sAM;m+fAPVb8rG|q)jZB4O5
zk$0-uv-5OV-&A0K&7lG2ZJWZxX*<-pHd$OhuLnO3q|B+QKx$@##|*<BmcKT5q^#D3
zL!$Z6wNiN~ncfenwy+1~RT}8^RvYEDSM+z~N#euUR%g%U_PF3N6K1QR1z(=Mwi3}o
zkP^A&ko9Bnevf@=8`skiAvw~krpJM!4;-)hB-mkN^pW=6A?m2y_-1eR)G%>a>(|68
z1v^xRY@-gIQiW!~==9d9N+Pt_YcTDuEk0WCTpPNfjB~Nf*?ikBQk@nT@Iu)Z8)E2!
z?vcxJ=4$POIp<OGbiu6J_zfFyOO!U5{FOtp;C%sJzFG2Sdy4d3NgM1)H<%qdEsejz
z!uqa_OQ@iVQWK?%K<-Ty%RF~UJetypEv{szltxnxITm#}^lFI<=_dx};P3hX9!{!!
z<8#$h8U)HwP^IfC4AuAF_HHZTr2Yp00RR6CmuEQEe-y^;ogRDd?Xf+!{Ek&JD^x~A
z|D=-2h-i?}5F*l)5{U{)r1G3llr1x|rAYS5`g?V*>wBFS-*cUF?$5cIG<|vtbxq)D
zePH})7dAM2RDJ&wHb&IWQ8F0bwGE!%2xoC`XM`JiBGf5%MhxY+PF@Kzh8rcVc9oU1
zkV^F}B6l&M5WoAo<i|!ZV*1giTW6JEbZGh562pM=uLOIgx(wmBq|jsCoO$94yZc<6
z6a%__u1_Wj8iM||u8y{QlSIo&&gGI)dQ24;bN}pN0D^o0v1#NH;`?D<SaYJsfSx?A
zqUZX+q>!pyQ`SK!GRqZyUZca()TNh>wE7VJ&nWWS`S-*;<x_D{DIGTMQa?d)*MpRW
z?>DagDW^s}<1=2qN{1!7w`8W@>%zUr$qP$dZPe(8E=OMn(P6h?=@W{KF3dGEiAg8+
zQ{TF{5*p!j$XY~7D@o9Sl9AE}S!_S4vXO-a5)bK+tE@we*r33BqWYZ%?>KdQF+8V!
zfDT_Ze!hG!hyu@EH;hMDOj0=lzK2*?&}037oU%{<YQvauZK)043{|H^ZuLYpJxX>f
zI#{02295p74BhH;RL_v$JXJpiysbY;^_tRxR{48jodyfk$}FXXU~NXUBXtN&g=j(T
zHFb$-qa~`R#tX)M;!M~~KK^E$UJGi3m}KIO|4}2Oj*5`fm~l3gv2kCDCS-YP8Y)?=
zQV*RJndJMA1s{1&Q3)kYxZK-+hU~IVjUHovD_X&d*Lo*%ODZ(r!kd$_TTE$Cs{7_E
zF>7}0Y4YCn<Ddr2W~VAY_NK*BgMYkk>l}Euu2sE@UIRkvDYHjY=<vCNijnsKC(=~D
z8KUk}2akQd2Tpa-qnxP!PsVT(F4Iq%`o2<w;xL(2Duofv6DB*}KjcDVqqLK|1l2&v
zL3ZBv854GOwaZ`a=f<I>vjS$<RAG1~I6Kym1=%ZO%!~<MjQ(AqqsgiYar=*aG9PC}
zZgNQh^#dOYiwMV<-BN*jOi~3s<?KjadP?E&5J2^xU6n0bDsZrtHs)dJ793hnix86*
z!kf+GUoP~MVM@d=<ahU0+*Nlpa)4a~m-EKmR34E*z^vAV#LtBdIxi%p#l-M-#hGh7
zA!G=>b8^LLFE`E=XvzBSlR)LhmsU0Zk>Q4;y02dW56U;}X&U<>i8eA7FU?Po;m3XY
zCx7Jl@buL_g>X4(oF_fy`E!#D@pl`_tV;RuarR9Xvr95q-=tK1w}%YRz1|kS_Z7s;
z7fR?7XJzq5czVeL8x=Ua$D69HFN`HC2X8Hf$fL4@;_Fu<D$qY_JFTD~in1f>I!ap<
z@%C<R>*ah^p!rg9HB3hw?>#&4J}X}d6>NnscI2yp<y*3ww5B9Vs@xAtbS0y5QVmW0
zm^!4pHTX3-OJNRq`ORTwRb1+JUKc3RfQ6E8b-I_OF{asFtNw)=7AhxQI&xDJw(!km
zGgZo9!9~+MMN%3FCUG`~x3xenV~acwlN>(pPrNwzLj&#B)jwrbXoIXh1nJny<HwIg
zmwB`%UN5fJPvO>qrm|p5gBuEHckpUoFNYRxuKzi&SY6nYeYd)!RuQ*7Ok&z`QVU~E
zdrQv>>%(}>rP%64CG5CWr7o7Kg=xFbxv+jQ02Q6L$)oIKES8_wd6%Ju3G<p^%~y>e
za_#EXYa3+D`Kj-=;iZKSECxU7?AZpvjG5_!UsP}p=Q~#EAx(7UR!d3cBOq2eFZP<Z
zDqj0WECtJGqSe}y%vEoI5B}oSk`=0`x>EG(kDLY$(+VDlRW=0|Z))rCpekxk4W0|%
zjJkInXR^PWLi(-*Pt%X8$RglkL6#t6$u@=1$0y97J^SgXn!73{2SLG85k(9>V@=-K
zX9hId6@nhcDtLB9^m)siESlUEkK3(k4ttvKj!89>(JG*92XBoOjvn7W9lXyR$}%QZ
zMc*i6%6%cz3@<SZkU!bE$I~3rzx5cs^;5#&ltlWh>jF44IVVoCG6$X4`iBzM6)==_
zQE-aFjaz=j(fsB!huyh<X$phoarB2xR?09N)<wvVKdU!`mWw>}!acHRVUblZ@Q4lr
zJ?*OWgUnz@u!pg%kqq`pJoeMKU8Mf>-uq04(+s96KU=EalfuVEtbe0!jZ&L$H61B?
zXbN>cCVsB;lDLcRIUD&_6;(y^pMt)MDU9zr-my9(iY_e|eGmGy5ajTI9sX|s1jSvy
zXfp_7&p~lN*MCDqegK1aAOKWUZPfRI0EXkL_WrlyMEd>PZOLf_+`BVlXZ3;?3-v=k
z$c9Z3%<&icCtjI=!Ph$@4K~~;#^SVbhI@v%??Pi?*18RDI4ou9i;<AM@ZOg3?is={
zb>_p4Rb!}H$v(hh#(}skY$cO%mRN6n_uQ6j45?kP;*-aM>8xSTa!O{1UE?>;?(;GN
z{-H4k(Evs?_;g9YmS=`IKtJdW>4va)WJclj4LZDZJfyBxdz!FM&$v=GU;w=W9<F?}
zG?@36#Ko*WMfewo9=b_3fSE^(_wS!wp_-{29y_D*m-xP>+OaQOA0A#>Eq@%gNOd3`
zXbhSdC+O%~=07y)!8@+iquZBescR+@<x<7JiLWf09%smUkZ9nh`EO*3`mErukx}v}
z(SDJ0S}#r)UYfccO+ERCT9WG8sgyWEBpqw;!$}<o(=O0luNtMUIo{(Rel<iSx$Sgm
z-LC_OGB5wxUou2}`d*1KpLURl`&yY`@|gmqse)V=wEL;fnmKo<=lco9aM8F%Jqpa<
z9H;&3@SQrd%j#N$LocDibL@@#3vDQ+(P{b3+D088aEv*(-c2Y|J@TmX+7R02x#L1;
z6IJ={G7SUMcfvFPTR^10swJT<Qw#Vwi&p&^zEHztTN3lUJBg}@_V5d`T2OycS+H5M
zf~u5Uxe`X|AU-(_Fh0o9ga!Y-$106VsaMtRZM9%;CzQk7oA@*|fz|r;_jS)aYGK!9
z=@I)jV(asV290GJ(8E-zpLjlrTA+EzD!ikW$g=&xUudNPHQ!&2_W30e_4{v~zx=3`
z_`1@tYE`5T64&LBqbZy4Xspa)&21(ArWYG2bgRL>^X08-Mz4s{LfML&e_M&kcm~Qh
z7BvXHsVx{DUrHntc6;tS(MANu8&1d?t3qLc>3~pVIZ^SEX;e+FoiLi>U|k4O0o~#D
zRA=D|LU8DS;uF3O0%C-6rHaTfx%<qXiGeC&AE|oByh$fP|6S`)^nx;Yq~*jfWL6WS
z{KqE*A9oSwW;aw<O_YH*=?kNj-&Z1$*FU@hx(Q=%5ntcyN>FASxZ|*8J#n4QYsg3J
z2jSOi*8Z$l5wuS|Lou-?;+}5BT{ELTLUK6j#bX^sa2z_LeI&P;_-U+vU8Av|xc@Kv
zv2KzA+%RQ1p6c+8kQNLS{w6m_D1`ab*i6eqd_hU*8?H7&jjrm4-;*K2VmkTLXJ>g(
ze!^KWKi^KAeg65atNjSEjkB^gxm*q$UU$AMpzR{wO3F=#DU1?gRLA8zWH}I@Iw5u4
zu$vHBmZaCC{3aeVS6%#aUl!ck`BSfC{~$tXdSw&OjuYBPs+736Wg&vFZ)KP7Cob$?
z4pvy3Ao_j_y+0Hu1JWEH=LGKz5Z5B)ujF}85kYYgCrVgkfHpUxO;=-x5KlgG_5Pn}
z!cQ_MjOm&**nirY6gN3c7+&xi^30eeF1DxiIBb;$z7J|_S=~R0Q#)kV|GP9#7}tm@
z-M%da^e~ebyZnm?HT89SkhVzZN3Ug%$w>jXq2;zx`*FgUP3FPXk!8ZCP~nkli6k@$
zxb`~_Oc365+T}X}R*8@KA<T?+l8}14A)n+vMTECX20ymgApYd~^~g3zz;m-+f9r{9
zLeyxmm83-rpK00X1KA~jv!o_GJZF|*T0j0P{tq3@s=ecg-XjiH!ksGm$@9eN+Jvb?
z?F^84#EHc9L<}^Fcey9!FA@y4MX#UEF~MGPSOFug7?1}0FG@1~BU+{ovrO5tLRHXi
zfw*I$u;!zr#e091kestAJ21iyDesi`^9_oC(N2*u<IoM__eAs5qbg27FNRlvM@3-V
zQ}!LlZd&+doj*;pOad*PQDT@*1k&G89HvS1F#gleAg_!Y3=@Qk$%VooD`ygAO~VL`
zZ315}<?%wMFI`h%h%f|?BrvbaFvHyPorBAb{J{1iOe@n>7&wwN7aby5VXbuU-a-{2
zIMo|zD&#2)hh7}tIVZ*e(?<sH`+OFG41uL+t2kj$Dh{Qa-QWbLS2L-#kHq0?&C#6V
zpTZzmxf0UM&jnLjg<o<9Bw=AAF#S}R2yDp^W~y%Ih7+#lJ!jLTAvd<y-D$Td<bK)v
zQ?`;9EG6iFw+70B%qTmJRj3%Ozxd)P-p3Eu?oG8vg~-F#n+#9F*Tv!Ln}91>szM<8
zB;bVMV@2rA(QmE|lZ4Q?#yeVtBH%ye8ZA4c43D|?&Wx5yfsX_|O~`R^_$|m@<a|gK
z>L)S`hAd<tEB_zo`InM#F5B2vbW$AxKAP?zZSDo@VAzzMnKbm5<r<}1Y6A0vgXvD8
z3Sb{QL|mAZ0lRW0n;R)wkRlxQ{Fs3<cu8N|`ty|>v=mr6UjMEQd5dF}AI_@6gWz*d
zV=gPe3zG}szu9zPlEr~`G(%&v{tYz+A0=Q7%y=)yuM06-Q%tUZ)dJ6N_DLj5GK{@{
zP(Y07g26yIOM{*cc+{GI{w|;jMzf!??gi?BXu*l_hXZ=>@{&dQl}0sKpZl|soUR8l
zMZvZ;Wrn~pW|MSIRRiqqM==z*=mE*rm(4bR8`!gD77l&W0C9FFU7y>!us!11%z-@s
zC)+sQHtyDhug6sMI-PakoDUE0;0IF(lANV1q-%oa-l;>3Y1*Lw!0vi9t2vyW3h-`w
ztqGyFVo|xrH9@6k-?mF~7C_Pd??Y^&CJY(8kjVM23ew3R`1u(v;ijNMkb{~gRCYlC
z`K%(?Y5#hqlVJ&o;Rn_0Z)!k_oQZ13vNVKFt{cS8S;9HK_E?`dbqIYmNYe)*5Gup>
z*q(7aBwTS|x4W$h*?0El-Lc_<UyDxGXTMv*8)u%KZ@kDb@n)*3qm~9-_i9coU9bef
z*>l2XtBPRdb@2A7;cCJ*@YFZj4GR#Msm|g&Cl3NWtYLIM3se^OU`n`;1ypfb1|OQ0
z0Zz?N^Hg_6oE;A-9;TXuMSgL4`)MiAiDj4)(%XVv#}0B(dCXx#eQRX{vpA%WHbm%L
z=ECYORsX}jW{?zA<~(*-2)ZTbU!J_jgQ|Dc&gxW{!moVOt@CVr@OJ3T@K;(sTw<_g
z9F#GIt$uXIo$DkZZ?m(C@8?6omE}{d2>{z;-uGu*V}m|x2kD(I{21}|YU@>c019`z
z?%fac@H1+F(dP<3_Q_nLR?!pCDKo6KB)dW+nKMnA$MB<Z#FQYF+XNCH^YHT1PZ7tf
zDp`xX`Em40=fO;^ZNRZEbL|5|ClOQ|<90)xAAdW0y#MR9d5^tL=C=D-P1ReS3_rTa
zhvzFg2$_dQAe+1VkCEXgRnBM28~#c@6zz$g?)zm33~5i#FX+rr8SP0g&F}D`PhGLY
z#5P0NrBqM#e6d7LU*+Ezy1<7gWC~2o9vFa<^UuZlh;{0+!b|;>5I!tRz6uOX2Jm&4
zf^*9dEf)Ilk$%VUA={%ynwSuMxG^ALIc39uv`*uq`FVVpc6TPlWLgh)@ToSfTw=nc
z-xKG>#`w@epU=55Ko6|_C|`V%Sum3tb8XF(AD@1{)G@!J3yHppO5K;(Fugg`=SvYk
z{z$##7JpqA%5RwLHFf8}7d9-b6@&n$JDOKtlhuXR_wN$E$Z;a)`{#)aKLzlYk*?Xl
zN*xfqXUnlTvK95&^+)5f1u^i==l|A@>A<m!l|JWY61MB6y@g02?09$l&le#bkjszg
zzf-`4liOVv7J`NGh2hp8IZYIp;%ob^aFZJk3fftnh!(*wvOnhL6DjbL%-bj)&Vzpj
zGz6`li=rIkQ74K06nN!T^3n4cFB%(|7_&}@VI5POL6#B)sND>WiQas8wJ-4$!*&TY
z|M}#Z5F-UTgE{I15A);svSWJ{-6ZieP2+coacx+$6|++e6u{~FZF+9vQdlHsuXDUd
z8-y6Fr=G_P;)tMfV*R)jc9FUBK6Girm6X1g-Niz<XaBK3K^4;YnnRvEGNcWzJJn@F
z$AnRPX@GStLk87Ec}7cCHgzI9q*F~*6gie|2bRUiV)6dnqFbdYP!lzms(4-uRXXgr
zANb3mM94A;_ff#Qp2T0!C62a9v4Ju!^0;D@zmWWZ0!zae^XnxgF@!yH(!optv-4ep
z^yVmV&aqkVVV5M{ii(waB(I3Vp+8>fy6eDss;sE`Eh$tE+<tj0of4|oR4fd(>3}wy
z>?LkzX>6W}(&TPZLK@FxUP~`skO|Kkyv{3w_7dK!&*PMld*YEV%epSKd4;UTx5!{t
z?t7JM>SV0zSUK*Krw4-Gn*g~ki-W%s_ei}VW0&rQ3p~F1Fr)JuY(Wm~SMI?dp-o@w
zeRM@l%K%35QcoWl+q`9e?|JmhSp_W}Vz~^M4IylQ`lJ5K@>oks?#ca61%oqL7`TQF
z;fLpex==m^yt99zL(yCX2dQYYUS$Mj7KM*y5*09TF>C1dUoxgxz4!Z^Wegr+4|Y)I
z6fpi(zuod-GS0nkRBMXd24o?>!+wM!E-P?}bL1*x2*XW#M<)|Fd)tLh|D+<8pNj7}
z^FawOw`mL{2@+ru>#y@UQW4LVOWWfUMQlm(>*D`PzzTWSv4vnoT%7owspzACC!b~x
zoYewYT{P14w^78OCR_F%V3o(i*4H1c1OVu>xadBiQ^Y&|`U9M4vKV{BK>K(Wz!Ig7
zvG2YDW-VI(3J{dRL($FZ(q90&ecCQ7h$`Uzua3ji&AzecmRPU+0604I-wBN<dF+&&
zWh@YuMCupoFV@2V<VTMODQ$AdTdw4)wqFbvKh=#i^Z>kUk9yF|Cx?;ke?KW^3gf>1
zywJNf0G7?xdEHjBcsFEM%_m7gB){GNd^HE)PqB}Iet-<Jz2O^7>Ey#1_c?#xivW>H
z1b1nwGzR^lNbGIoLH-}Mg9q#Yyh%5!m)=O>`E_nRW9Cg?EA4(@A1}bWZ{zv4n{ya?
zV^Y8-f`n{sdbz=Q1bq7TRMBZe0-ay(mb!MD6YWR-%YP_GfJoTRI5QV<1c#z@9XAfF
zTTG4)yki1E=PO?oR*7P#c4b0tF&l=A@8KM0F@d4;GaTZUA{eL1r#l+LieFb5eP0J}
z0|{M)f7^ZtVUcb|b>M9lJUAC#r#oN_3JD)IxDy4jU;kTO-xd}ub!;BEV`~hoHu}}e
zZUUIY=>15tkr`($zo9gg8bS3TQ@I)oesnaut=;;K8AEPvSxuEU0(Lcn;O?D#$oe)y
z&ySY{Pp_YhjlX3G5ijjxwT|=RnL`<7+pn=;e$K{}7ONq6pRw_b%;7;FmT}%<byj>Y
z0E>Sv7(mrj1fvBl50;#})3d(8iVy3G8c0j}K)O|>*%-u)KPd)zj*Dz~J(mz14bq2E
zhX)-VblkY=yHZrn&4Ilol#Tp(J-E>$87cjY3sb#poq2a{!M!zapJa#W!837&v>m=&
z=-SPEtoH>c9!j-bqG!;9x~KzhX$dYYX%JY*<RhW<*IZHBWL+pr_i;*6;lk5n{W}?k
zNysy+ai(ii=eeV9rCVumVe&ckBZ?JVC>;u6b?<e6pqn8l?&QLO15fzf3b^s!gDxit
zR~@J+^)?v};X+n^9$`{G4;os(4HRFaz`+u>`MxqPeEI9ylkerc*k{>7Cy`BosNvJW
z+T5G<_VN}T+T=UDxa$?+Oo2VK7o~E}bK_Y0Nrr>G0;u9~KIH{F1^gSn4vVdAzH`6x
zjd2si1GUbD;$O6Z{F?9Hl^Z;`mpH%m;u|3}WmyB)1Z{|uAYc8X$BV32kDl$96Ty3u
zPS+OPwBggkicXhVUYuW&%Hz)!MMlB9ukUJUgKV7+&1eN5wrJcl*=H_}Wgix@H@LN7
z??n6Jvuu8RpmuuU`m_WpyHF#i*0jJj?YK}ux&StRDXNhCE{T;!E0?V2v_Ne(GHNbY
z5cw5^Rm?s~AyrISWOYFc-j!K(JJoLfuQ5;U$XjU?9LfDn$E*#07rX4DH-xc$dMM^}
zu?#jYnppeFX~XDLG<9{mC{9YYW_6Uv;`inxlCh&Uv^cY?|IH9Xse*ymH_PR)r|vsr
ze3CYt5%oBu!XbgJXHU#?SIZ+ezt%gC0d3fjP8^Ikm&867r&;+11uUljZg=0D0;aUa
zh7HV8_&0dN^k1VQo;nlL!Tgp2V+LL+;muNLX>^*Oy+#SYiyDT>o9Tf0oqXGobZNYN
znQ~68P#NtfRBV;{bYRup&3pZX3|^jS(tH?0#swAL{%?u8kgitNzu#CE>jV6@i4ZF2
zQ)~Xw%TW*ZM!j;CW0u1UHKkqL9V+Or_F~dcQ6G|%<687;<?zG#<2Ga4RdI2bvUDeh
z0mv>0?dOS+$8pX&FZ(O1*e7bIjcW$L8PaxWO+x_(EY>@2r>bJovpXk47Y!ll<D&qf
zS_QnQ|Lvv8F;$$&iL+0gH-ZO|qZ!v76!9Fhl_No~it?u=%~@uRL8siGDW^;k4_5bO
zUh!1HofkM>+Kp|4WZ&E{0ahh^*E}9z7C}altanfI+Dzc`%wG>KeI+#LarrRktBeh0
zd=Jm(6TmoQZWU#zgqm-SMlMJw;p1be{N@G#Pj1tT=xHdS0{8Np?mPwLJvLz{5f5-L
zygT~Oq9WFd3U4VEkVmg9r>OX50RQ*WpAJ1x#57KOa`OpUtPY!qIKXHM`VFS0`=u3e
z#&Ep$=;r*ePF~EQQ8a~_9ACrZR~2w%^617zMk(~a^h^GVfhlZ+F;>&G%VYQlmm?QT
z#j!bdt9Y8BDWr*nW^!}LW5^$)qYUvPsQ6#RPHPoYc*%Hb$C|nv_MSW7H*-r6*X2I`
z5F(kvpS{*yHrr)Unt7m>ZGaD@pY5A29R*lP+a`C}Q3e}oDWu~8Jb3)3qRGN*fGfpL
z?QHJSNJ^tzski4sgG;Lu8D|01Jf_%(4oTtKe9gz{2~O-dJtnwm+aQZ)%%sR)66u1t
zR8m{mQQ^!jF~)uZSXhOdY&XQQkn7*I6bn|ok`Uo|awh>N%9GR@wZw4ANagiOLuTA=
zb2umYg$cOm2zi>H6G7?wHjMnw7_l`Z*({9H1V$B;FR}J*a-rgq<%ehn%*gagXg#qF
zg52$<(hmsY)wQ0t*FVzZYCvhtYMn8NMo~Q9Ec4^PS9y=coapgN+GR&3RbvRVQ=HiI
znh%vjMuXZk>G4j0YgkQ!5!e{1kcQ)V(IcY!jl^zxjP5Kc`#oa_Chn$72V;3~mGwn;
z{4;t~Pc5e%b1?*#l7IWXA8=!Gk(=g_HUm~`9k@fTGJwuHj%kAyF8uN6xf%Bu0}4!4
z6#dgQfFR#90nD;o=p@Lkrcup^Hm94iZf5F(eFlBb*CZ1DU`>qks%FCALg9G@A$=f-
zp56dq5-v~oJ*gaJ#?Tb!BZJ9$;D6lBzvJvy6#m7=;v~<Cc~=F@$4Gh*S;;KrFvW?Z
zvJU+nk!)y8lQMburY<DA@H}+5#fiVU1nH}m*|GDVvgmnXUC26;7tVBy6Lrp~8p<bZ
z!L3ch$*$Qtz~Px2({_{-)n`LlZxCBiYMlO?>ZVWsoqXh=OA03rHCY8lUMAsPX0tez
zdJ3q1O3yv<ixWLGiu?Xv;6fHpYo-+6P5n31U{gQ573n!*i$`L)G3rT5S}rREoOiz}
zSYsfek&#{P{tO-rcWmMQSg@&w7t_`CkCQM#Shn7wju-Er3~{1(XahxXrv+t%gtkM<
z+k4qJ`+3)@*MC#bpB}CCS_$C7up;?iLI(v9N9SY5>a`%?%n8*3UT*a8VaVG0RS-YN
z+v#Z~X+c?}((`Lyxl!=sZkZBmVFYo}+#z=@P`Rmi>01g9cF-NzGCU}P&hg8lg_@iB
zV?vU>ft%b3+xnVvQw%F(9(H(>wBWE}c>%329~MgVpIdX2z(={)|La`V1c?)=H*TEf
zM}f{5+uP}qsFJbEigi*GTK1UmG~5utCL8)X$$L^bz3=rL!?Y$uU*y?0_(>2wa}0LS
zWlEz@vCQLX8ZA)v=>1(w62{xy?LHQp9C80T@`P1V3#66O*d0!bpe1W}bx4ye3MJ{6
z-*V7`$+Bao2Y-s<!qkp04`<}?Z+>6f*bOZ>Eg6@1=ae{3M$W$x5!&R%x^1}gh!zys
zZ8*j<Nn-Tn@8vf@5!r0Luk+b!!^h>RREZywm?#`m)&8Fnnq))Z_Bw3{`(RL1Q6`1i
zV@bnf5z6S+&GNA3AO#GJwuBTvkVbDdqiy2}WXv_&p)bdw1OEd60RR6Cmv=bT4HU<X
z>~-xeu6bSKUao7q=TgWjX=z(!R74@7WF#U)dP^k@MbbbBzf-BGgrZPX5*kKk_UqsC
z$M-qUd7g7VpR-;nai%F=9e0nqn5!o1;Xzf8Yy01tz@hKgr2+#r@GIr?l&qgV#yl!A
zkSk<@>A?(-AU92<iETCLP&UB&fzvLZvrXZI0~eU<X<^sLhx3#o0}Pk(>&VP81Bcs1
z3$K^7(6ib4F$b3+QUkXv%HA}G(SqThSg(!sIzCTllnpU*c(dA?rxu_h^3f|QTnFEq
z#rh0S8(`t(X-m!@mT(lb-#d{g7}Cq{c{<eq&)t;RYRPX6O2@^&+)ksQWAjRS-v@mp
z87bU%)U<){vGj_NUliQk=BCxvrH2;jUFoVOEZ`gtHJ4Y{#p3l1ulz1jQBX!j!CMZ%
z@`tG0EJGJ3!%JRgtkgvZ9TEJH3=kT#=kgI1U0fV57}GnbgU7y|5LEdIknWzPNB=@W
z=2*Masyr=ZUNd+gV9JKQl!+Jf5foHnDnD|+yF9<OWu*oO*-(*rHF)Be4wf=6UG*#{
zW0PcM#l$%_{N=8#UTdj?e*Nw{m+DkeCP6YJ>lPc*f89dner<I4B;&iMR2gGM_e=b{
z$%gkD9VLm0T9}zAp`{|FfPL!*qVJq#!{PX(ZKqCYVlPilXLpSZUTHKsP!Pg~kvQ$h
z$FUmN_Ky51ty~hdKTNg@0UM(I7yrfws-u^Q=|68Cah%E3wxX?IgV^4|9`5yIOxf|c
z_UcX%^fAg<;Y0vjaGTim$6O8NhZ2?o`~>iGPN46;Fo1ok`#rq1RPlO@2e-K#FE)mS
z2ZoYidCs1hpG{QIR6A_9{621UWA!EfxyXX*uC~3y3?;08O`=D7aALy}>(J$48+e^|
zt2EV30Y@;5^dfeNFyBy3rm$?lz@2lKa*`Y>(37Yn_5yKvE5p*^j5W0FdK1afBZFbV
zsozJM=ZG++kOjA|R<QQy6j8WY8aMp={${(_98oSD{=wGR3SP)f#1Z3?7;5%mcl(c7
zLa)g&{9Cdms6<)N-5*Hc*weL%PpsyM_49C`?3)ENuTM4pktL2vE|W$7am*9L{j*(4
zHWu*5Z9~`9Y!b?{Ef;%L7YO$BnaLfO&0(uz_P3^eV)&}-Z=h(#A|ZO~#nl^J=CBz0
z*75a_2p$_(E-6ssKtn@wnq-g}DEXf{A8=b3x9*p+kdfy^EzXt;H6Kl3F@PQOEKdmE
zb%dC@Q@K#n)FSbLqbX#jUz(q*7sTFcoEfZ5+!#H??Z92f1WJ6A;f9rh82J51W6}8)
zxL0(Ab*(8Ao}h=6)olSZJ~bMkJjR1lCnL^{mYaZVKr(IDZUHnOIH1tz&4<&xbq)8-
zOu(gnu(-rl0DG?{KMelOk5NAAZ={g{_F~0x-fjY@|5;gRZJHp`Jld?RT^KN`oax4Q
zLI5Q)79GW$gz+a!<FIqLG3+hTHw^zQfIFKycRW-V#VP;v`}@L-fhVF#sB60*>c%|F
zTrEmMV{bj@52D6ULy@~s!X<<cX;)p&DvG0+exyW0sS!|{>>R3^gfMxgqe;V30uA4{
zwx(?|0@LINI;1*bter@G5PU!qQv{V3j&mD<by&}wP@4$4TS3xPg%oxfCua&iqQgBt
zSBfJ^3=P>6B({tUo;<RodE+1*xI@>pHJOu8iGL5{eVQyjRF$WEF{Z;lx5F=zmq>W?
z46RXZr95{2ZCtfukp}-3wI)Y8#W8%R@TY{=3V1wiZ|CP$8ra(FZM@qkfv;<Ivb3_5
z@ITF~k<3yWoZIR<5Ya4&ymevx!$(vwjeE&zcP<SWfxLE{f2454S3m!OjVksGU3e9o
zN`vduY{SWwGMHj(U+uD14TmE3+`o9525#CP2M2;=F;$@|De3?jl}zWFE%RtlyQZti
zp+yeaZ!~wFx~Pu+&S|C%k7@9tyj9Z4RRN2#uQaV{*TCTC!^7==Xwb4+T=YY)BAVrI
z+S@6wg$JZxHj(Ibh*Mk78JMAr=HUtg<$JV|r#n1}o<au+4ngO|4J&cyfb_Iq<?`L?
zYyUJnLx;8FA(YTuRXj^k5Q-Mm#hL}`++ds$urKXMZcS4|8+VF_|7I#SCvZxns~f}n
ztbV(nsbpO2pRGG|UJuW7Z%m*5VhsLqx15ijQAeg0sj=d@KHlN5SHedOc$%YWTb`qV
zZt77=+8+!s=tk0!_eCb~YiOcF@uDV58JRw4Aq?@N=&u_Vl}z~a;p36ai(0r|ME{C}
z6%BVdr#>C*Hig@yV4E#j+Stw2XlWfq!?(2AzH~WrSTA#gsvV_+VKIHwEjct?E1&iy
z*2e<U4Y!E9xl-_SuIS)=G7Yc9>x|#1v;^_$*CxMsbP;7DQ$D-XP?cTQT}ZM99;M8G
zx|ek^K-r&T%V$F@Kf6R#^|670LNB#zBq~0D4fczV4e-c#bgy6`3&cWBHRW%iBH@?%
zcZGvKa-4h<To?eb<LppQd?*zSw@XV1B~dZCuk-lb5rE-b9V*{;Di(Zb*l{s&xvyj7
zs6j6_#Q$*Vij<-vEx*{>ccV5Y#yd2|*0LexHb-zvo-V$Xgk!RNnpl_i*W?z5Eifix
zV{T1T(4#LlMz(~E_O<h>gsv^n{zU#KL!qGIh2Mdyo~pR^%JFG)D_c-$ShLrkse>n1
z4QMl&N@z~j#AK!|Z0n<RHfd_(iVsyMA~@vm{Kv|^9z|O?`O4_#?1Cl^XQbCIYDl3i
zp<FaJ%!WRvg})8YHPH0O-f_|UB;4cI+xz$d8!S5RNB>y%jo`~9cje7O$klwY#5|A<
z-~6cZsW!`8+!TD`E|nLZ`(xLvl3V7~56*yfbE-HRwz}j@Cnv7UVax1a=23*5xHc(v
zCBEKz%%`$&o-o_1?)k?HpjB<tqK~37;`Na|rzEC{oB6VjE^q=UwuHG(wkhC(Szr~%
zn=xWy-Gbl%iv?x9{)bXZ<<Rk0X<Yoq5kgeu-;nuH8wfi-6cBY+1~X<`--!$VCU9gI
z??9C`7+j)$>3A=Ne9W8U4-O0x``VHx^=7TW_)+DNo2twE?v)^_YC1qz&;3_AXl(^b
zHzE&k=7=M>5;K3b1_*)go~^}+mQX4o-0MLj;h1%+kQDzQ(c)X((A;VPXNcDg^SvT?
zljDWV!#h8T+Rer3iR9(_5W{?~L<sf2`<k^6|0e$056JdLm_u7`Ri<>E03HxW)7sKu
z;<F3a=Ydu;;G$NV91!D2-D8;Z-|tak$HM1dX*4rvuSh+#;xaGZ|NO$;`}P>2J0T+c
z{H!UIfK^S09}lkj*5sa$GC@3RsoEMn$AtI@3YUP-3M55;xDt^vMQrlseR6p(6AHK0
z9`4WNMrP-$`x!U?5kX|p8!8<pP@*)F!ZX5!v(InERCUi1i9xaaLoOyTI^DZvO#~O#
zp0XBZ&=!buPnoVu&l%89km<j*x$qj#mUVlsED`?w-|F4$7?4{@Hb1t=i71(}<)aKI
zlG{qOJL`?XIcQbc)IU!A)4vl`gSl|EbQAAYCu2woDbLK8=E7aq>uck?xbbk<^qRYE
zMljuORH@^^g*Rtf?l^Aa!Kk~No{9Px!2whI&~x{=(B`PE)#5lW&hWJLewd`gmogbg
zCw*>Qqf_a6xR4*)Tvlh0)96q%w)*&712;Yh;@b5%QV@CLY>Z_nbeNH12bagMz|P>m
zhh>6<aj{Qw<VzzBc5F*2Zrj0we~z3#&Ur!<&*m1(R|V6cGuTys#TH(4<L7kD-c7<I
zUBAW$6ljps6uZ_Uj1R->>Qs%+iDN;p^~U&IL#S$GoG-t}kJoa)HgtZMz-@}0uAV%G
z5OPCHX+~TS<-CUf`_EYlzwS}@wm)tFd4*@J8_o;im45{#$<5NJ>m1g%Prv}~Ki?dp
z<{*OWUzd8;9hAlB%#G>l1^S?MJMXONN-?~5o;YUDkjHQQPM_wT^}&~Y@OD`y2{S{R
zUWv;qBJG{upSS$_@Tw_%M4?z5S0<{z{;H;o&%FP=c-*B2QEjg!WxFMCO&6nDXWdF%
z8UG~5yj~Av20p$T)sezcb*g>jJ5{V=1^Fm6=s}aC^y%I+(x`DUBxF5_j9WQZoXGmQ
zoO5VRu7IR0y4*kWFvLq8b@JavTj}Y;){D-y?hoZ~_xn1w?DAbHZD^j8%hreb|LD~1
z2Nf`l>I0qTTF6LEI-jg*0G>DEPwaM8LaEt=RYA4d%l=>V!Rm(r^q1G&=W|fO=Wkz~
z3vr=fch!Efa)%*Y2%zfb8>nKIrH0$;UR@+#TDg=KM}yMXkw{(#HEg~SJ=qYchh-Iq
zOpcn+p~kKBwpI`s=Z_|zGvqhG$M4qt85b~uiJW)$pPpC8hwW+E-;xaRDpEwxau~yC
zO=`!xHyUU%?Ebj=5Di~3=Zj4g7*HTM^maeD78Yn1C;E%iv4iX|dSjCbcvzfyP-&`-
zA6Bf?fGj$CJ+u<DFJr<M@#FK~eRMFlOm}<X2p!{}-<_y2G=ujA5xo|16l{DJ6D&<O
z!k_Pkjy!l~4qv?I{hg9^acJ_%=3C2k)_{_2vA-o4m@|gd4^pw8&o{g6Hyr~a!%j&{
zTZ3s{>(XOmJ<OBL&Q^}1<Mr?1`8l;V;K?;A;oYEzCwlJt*1Vx%@y@cFZ*&1z-)h;8
zI{NtJg3X}r8$;y3R30NU2ryPn1d6!nqfAi`33K()=a;0-u?#k7YOVA(W9p+$2DAU8
z2o>L(`el@>*h2Stc5>DiJ-lD~u7!8C4q|2Q;YaDVur4pn!^2q*b*AcwsZGnAAs?b^
z_1MDgcz<E(7%FCMv2xPiNyhS9&*J=r?I8J()~&Nqy7;JDZ0y>A3Oe4Jm&;YKgF0<j
z6P7atvG3;AbKB%mq|sQxLdXvGi>^9ze_9(m1XP-PETpirxcP4XH(PiT8%4;U(!vLe
zI<jXi#jri^bzXCUExf22^SR5fiTdh3E3-BD&@_MO-q!WD@N$D~662UULdd!q0SgX1
zy6K8q!vq`3-SqwzOsJt~(uDZm-xI`dmm}?CX>7>w$t>#&Rz-$$)Yn<X0V4E!Yk{sB
z8!lvT-Vr*ajGHYle=)t<LQHjKd28MWpeoDLw<;<k#18H|H~olJBey$v8EdePOYD$q
zh#c}?E&Dol;REZ{Ckb}pWfm;2Sp4FsG%_!j|9mC+jrBgpq$eD0K!CNO#vxx4FQnOP
zY<$+o@{i4O8tb=)>fzp_hmMKk=$3n7olpB&KgMLTc_pnO&;G@Tl(HBqcZOFr?;Buw
zGVeMYueJg&>vh~J{|TW)bj8fP=m5)mvy($nj3o$^Tkc2==Eu}<P05a5KUns19Nqpk
z7SP*`gH0ECFnrAd|9)m4D<<}glryIVusKhC&XeOt*`OGW1m#}VV<va8yo))sZ|e}U
z{mOw+Oyka%iC<WDR}b`_%`*e*()TCsb}kShncwR*<GWb?XZ^*($4o)`wpsR{kXd5l
zXzN+h_I6g7wRTmEt0}CR-7!@iHBA^~e>6@sXkp!*2$~NnVZzV5xieCKCWtK?YKrDn
zUa)G6%xZWgmj9-6F~S$B$A|=(o{BR@l`I`fu7G^B3Fz$$QoH$il&Hz>l5hN!#i|PM
z5(^t-K>gC}b|Pz-kjm2z=vsG&nA)gT`O}jDeYYzNqW}ITGW1g?yO~I=*->w_so59?
zlZStcy!=UQ%AfYLl58YmuC(sYaWn?wn3{$>-a#Te@vMq*R||3X)P>xW&yC<jc%Dt$
z^?oAseze4PsdmDhKfGAX-U#eB%h1|#e-MHv=Z52<lQ<;QEhhPj4#v}43gtic5xGzO
zj;`?UCZhEJvp?cahwZ9Wr}u8_Bl?TKZHRdFmAKMca+ms<2KU4zyh~O32ql56(_@3Z
zgxX@yCh0&LjKwTA%_{a0_l2&Eb4mXoOs0O-t)4Q3BdV&WH?8d>I43bBWWxZ_F4p}%
zLB$ZFZf5Ec<$XkiTv&xw$xmYMV-f007Xx_fRq#v9^#`$@vsR!`^ADjb`c-V?xISFn
z|Da)9vY()Di+pHOKTKREzHs+e>w$p0wos?Q0CCo}D)#HkQNreoGsme}D&)n#QywrF
zB<hClSD?cfvAZg;wS`3mU!xa&Q}I8End5upGk%N{HPa61MJc+lGdnCaP4G8yPu#B6
z_r@e)`Ry`I_!9-xe)!0B*8d@nOlLIYr%n^aSqkg_(kQUeXRQ8S`7qHFC{;F}H$!N)
zAD7;KS_hPvZp}_1qeS|@+}~$=<_M)bva2=?X~WU11;0<%{}S0gWRAZZ7m4a$r*4mV
zXv3DWw?%WaV+4lA#H1x~U_f<8wHs=|YoP_6=))7l<=T5^-IqAg^HWxCwviTO>u)Je
zm7O9UL=Wb5Ugk!@bvGgwiZmhGRKc&IZ<@IA>`a5mULH)^e(z!%MHBMZuF|#qHbZPI
z`*4o7oe#B(`a7daHQ>TX;x1qDd7>*uWbcpVzx=79e1D*o2KcXX$hM7IB-ocm=*+J|
zSP^?U(xz1%?wqi;F3I4)OH;4D<Q@^l*FG{aWe3#Z<ITpMyLh=!#<0jdyoiKl$Lu01
zrPX0;TtZ&zRc`D)b$TAGBrs#`n{`1i$)Gc168wJI8)MJ%?Ma%H#Fwng&-D|@(ED4n
zM0+zI=ESKMG<8a&;;DVt@2n%k_j-Z<8jc8HK;8j${3DCJienNZR5Ijxae3Ii6T)Yd
z)G|3E1-z74KD9@l3<VtuDM5as7^&xKlv1LEC*KSwax0PHqjLO=b{+{Y-V(OC=)Dp*
zgy*%cHYLL*3-u;R9SQsw_o~rcR}Blrf4<xlOokxgrdEYcNz~JsIsW=78NGUHN|hVQ
za4>nlS<8KCT(quvSRbu{j?c1uHae+;Qcta2UYRU*42o=|Zqz~_`Gu30X4GN*+S-Vm
z@A8;T744aK)j@I3rZe$98n8G_rMQ9;PHD&OZuZf|+U>fhVmP&+Wypj#?X?QJeCj;9
zD@zXx15Sm$4bp}i(ubeKJypfvDsy3x_Xc=k;Lff!+7vK9ow{_ugp4zP+gV!aG@MJ_
zez4z~3SBkSTeoV|QTYX<==420HvK-hQ?W`Pgf=|05ZtJVdP$#mvl@)Bdr+KqcpVLV
z4&535HKT>on@d>5uZ(f5PXFE71v=bL6{2)s*TJgQU)hXe21fk%_(J~oWq&@^kQU>r
zi$^D@+Gn<zpxgB1qdpEMFl8=n@cK!`%dC?zF>g%p+WD2c@41=5fBC;_8T<6H_*GfY
z+^`AO1dQ*UdSU^Kx$BJ-8w~K4+^|+pxd~QTy$~pKvIfs_&C2b=hFBsiG*m8Yg7*$P
zJ+WzH!HQ>#@ic!LGNy^8DiQ<RF1i1ttFwXpr>!vT9u1?->@)1I8{rdI>mB#)Y=Jf0
zB47N9hRtWSM-sbfsC@qQ4M&z8wD3F5Mm(gUrOb21o=f_;+H1AiC81T2TKivLM*t1E
zb~83fs!?#^z^7YhuC4;R=@fx`J%;$icOf$>N(0>$1!H&@SHaI{v#QQB2KeU1bnfT6
zm1ytiY$Qou4NA60bPUGzaPND?_hySSI2!1AK1^aYFe^f>PRml!cXu4=_>2hp2kjBf
z{jdr$+!79Yh){5#GRdx^WQq8?%Km9!#45P3(au)vhZeRBZ1(Wd>mh7+WFDj~+QH75
zkclmKHBjcv)56KtLDumyTd~YAJIL;l-p?OF#=7U(HOW5ntof1O!1cuzV(rdHS2?Mo
z?%Dnq54=|Z_eR;;7<*et1fE^yeoA=Ib+grNZUGq7yJ;VFmkmzA_HTHC<ZxGl$!fKY
z!Z0S+NhK+;!JiebrFKsWr8{o-%bgPiCHFvYMk;`fqdbS0g*b|omz;LuAc5L5HKSQB
zfX7$JDSk4-*z!d%c)*7QjvI=o1>7vSlr$_iV9$$iGFYN9l?0D>hkXhavjOk$`TQH4
zoER<0h@_{GV9m9Y+dk`918>Wtf5fqWM10NWoq`8Qpu5BAIp10<poHXGRD2&HN+m?L
zx!93l3-uS@!f{JDV4WlWJoPJ)ynUW@K#~Mz<2GGHtp!x_&IrHTS3y*dRf^=l7K06`
zW_eyKEa1;fP;3tOd)9>wTNyUT#bA{0&RU@j<`C7?R3(?z$J!hJXK|ye81T3{8FAe)
zgMFS`l^bG)S+jHIg}cqg;MY5zfm=dmuzH9wNz{(B?j9*e{WW6ntV;Y`Y^W(Dswz2k
zwNJAwG?F5mmh&a9H7+Q9Wx|G=T0K?g=U81{>H3?#iGlxYi6V0Y6IKxZ)3;=nSb{Rg
zPpO-dU~N|8$IQ1Ta66%5_jW^0$acP#zAl>tv3C~!3avE(VbZ71dk8Lg)TCP3!Y>X9
z)LR}|?F^W-tx@b`uYkA>qy@tqaZvFyZ&&wb082b__qiG#_&B<G%Y?ZE6zATEZk{j(
znYc`<un8Yj<mfcsoR)yz&mFpDX~rPOyKvd&9zVFKRFga3N`iU9y%!w%#-R7_V^W)u
zAc*=~P3xc(yim}to_J>jTtDnilAj2H;zrX~tT)o|u)_1x*JDP|zxEKP$u1F?v=l$z
zGA;wV97zQ_45MZ5HFW79iNOWo_JS-^IS@Vm<+|M{9qeY>gPZq}fH{A1v-x>>c=%wI
z8&O6F#-@#@LU)P->E9FX02xInSFWvq6Lc_L-?cQjQv&veR?ZYYP=eD6PAN&AbQrts
zex@i`5=2a_ik<hXz<b}M4}q3+@aw+HPs);ljXQHL(9~7oao@+xJ{>xEwJZs^y_AM;
z<NN#@RMa3M{l`UqbvoQ@`Cz%9Bnv5DbUrTVkU_V4qE~=Qhd}bk6V?Ga_(-`iD!^Xm
z9}k0VW=jWO%Qa^`zRANIiKEm<ej3pEb1ZowfDS>@RuSI<6yZu|!F7imO}OSHFW+&E
z4&0QG<CT2MFnn6q$g@ccIy}~xuK!Diw3Z1Wt!fo;mHB$GK~M*>#jkIf^e_TbceOP`
zELE6)ZgMAk4FytW+hWX`jNmK1Z^@6U2Dvt`?O!J7LU3P4kN-|%sG&a$5>g?9*@o$p
z-W616j#1uonx6q=?^%J-Wo{3PiyYnlQ4ex`C1<VQFu>*7D#uGC4KP1CU0(b}A1X34
zcO~3j_S=ijEdoNC5O+9KdEW~I;M{ra@{KD@&<VJDD`%Nw)x)OO)J_-zHxJ!<_Kqp|
zpF39~I;sV$6h~6iSI}TcEywctTQew?@cT`)YQvLzWC<<`4V33{X|l_nf5^n2EB&et
zob;K|x6-A7$Mmx=&ulC~`Q}82+Exk#+BqHgxtt?-C;8;TI4kfxzhjTu6a@yWhu`(?
zH-y2O>eQD{tf9E_ZNQ-rUHF*HP{}=J0BhoQl-Et$!1I)_f{c1y=<==Cj%4eDin6nO
zvIu}S|EU!(hjn57-1es(Ra9vF_sFq36Ttbw#Mr4nx{w*OE8)%<1;oiLQwJV4_=d<E
zU$4=H_JpTgOaHVX(ePMuhc6peACBGUxl0$`J%6k(`&kn*?BwF&mhY<Y>Y}8e4-|O*
zD~;rJM;&|v=~RPnY$&_1uZ&xh0)4b8KieoZ80#9&dp*yF@z8Hi;@0Ybi(ZXBSCI;I
zdtC2kaM{A#>%L>A+q6OUWmIAHSq12Ma;;ftoDGFe;|_9eTEGmOZTs~?1~`LtOcGn!
za72B|%FjR(XyqebQ|l#xPM!N|n9qjW1!aaixip}><_&)kn*{ljo?&%fY%n$7Wxvo&
z1_NEirdd59_!7yj(J99UO8s$*CwXc>7r5bBdW{$47@sO;Ujo!TP`Q6{zbe?QNZG3X
zg$w4b>_R*b0t`OMIy!t>1(-JT&+4u(u?~{k6h6rSG+w@wIJ{A5`M*&(X4y5%;&5;=
z)i}fg4`mC<J(dbkd*e|gVKL3}*y(J4qS6N9wb!LMvE`sN%rD93>ICb_BRBmQ^VT3B
zA>z3{PzIg}Hk`ElHO49^%J&GgwFaZNJ^9L&QlKWc<L1rrzpTTP(<bpLRxs)|a?pz^
z2@Iv3N#rYkS)wCb_}bbnLE<gXJ&Ag8NPNZ@^SJdd>j$}#`Ax$TND9Sy>2V~m{gV9H
z=+GFeF0X{e5orP4(IE-Po{PfNEk2{s&~cVg^2ckw&E~-EeNHpxjW7u0#{FxponQ^f
z@iKL(=8zy|vd|?Z1VKAvBnKR(SOzkA0y|R8poLMdt#(lWCOl7nUdi{5#c0V4SQ;?}
zx!Z!DpKRj?WU_Y6jnA-tw$@pSdYXb`PerMj2OsQtR+`Tgm}g1Z%IGJ&V8Ys;liKRB
zydbI7Hh0`^k#)sOYI>U)6Lzd8;ypTfV87t{vWx3DVCmOKj;y;T;NHPs*yF_m-BCAR
zN@j9`&vo5QO^OK=ef3?`l;(i~#X|>5zH`C8_2Q4^Z!zFn!5QVA(G~DN00030{}h;a
zIMweP$L+ndNgU%ij<fCcx$Rk^z6~oy3Z;xPlI)RGR-q^(k`gJDavn{U86^pkPzl*H
zKfnL)>w50zzV7$?^}HW#u_t#!Y&k&u+$)vSL@ls5)%`+jmID&_mV17_;Dp#(t0wCj
z21Lfc{j4s_3Dw%oAO7y<hSbcii-i~i3glk)4R~|H=|*kAxBqxRe~a_c{0=&dG#U~d
zK5&AMsrCD%7kps)=iZ!~4;|_Vu3m!&x!^DFal(!=0l4~`{EUy44yUDzb=<aa0}nd7
z{X>NiRI7yr_1&aF-sdaVKaX+)R+W``&`$&;u5I`TThSoYDzWzQS03;wJ<k6+Lln5W
zWGv^Vsc`STFRf~x7h3wU{(%lLAfVrzV}(>Ws-Ld;kj@X&C3ak~YT{7B;!oPMp9)0V
zn?Wqu0#Gp0H+dmj0+b?Zw!f63g6LkscLEARK$}~){JKpFh)TZ;vl}RIUZ{dQsa+U4
ztp)d(zL5sCLUmq)eH380i5cAbC<52ETow&UlLg5x`3I8R6p(&t7<s2x6n2euudsy3
zL-kvaXu)@6kiIzn;Om?iyxng)L5oxX^Z7hpn_@E9N+M2cb#Yj_9kDlTmm=ggHoq~>
zCc~egy8nKMNWjq@f{IQNN-$ZzN_bpEhJ(v%9uNB@VcsX=Q{)32yqf=W{Yx7eo+_^g
zc)LqO95c1Wb5$8q+`vhCD+Tf{K9G!Fk%3@Z;!Nu<Rgl^^j?+)4z{&vAPOC-^j$Y;L
z=zFXNr4`$4OE%{qoRA%(o3s^}XVmPN8tPDQZ+IV_r9yYXk%C*Nw!zg>!jpm`0^Du?
z`9orz3Y8W3K>tQXcyJ|}&qtmJbS`e^+N(4;YwhPL)2alkp{9yA(lsH6u(A^ENQVzu
zBV?8zI7l`Wso%Xqg8qkb%z0G?*k+vnbd6mFA|@-pb8n}B*zX#}4LL1{^PB6aP*nxa
z_X}bNF)9cc<h4AYX+w&}@MC3bHTdl*m{Zn7g%oEooPduG{O)PMRK4&};BB+FTa5<U
zwqu#4wYo5Rbf}a&L>)$Go%P#~(!hf7yDNH|J{;`2rWzPbfRhJFUR~#CknjI6pgYe1
zCh&P#2`(DYz18dh*Jk}4gAby@N=7hD#4Bjxh~QOMf9sz-4fH1^mzHlEg9dh}!tVtU
zG)lDHzFwz7^r3`bQtB88+#BTlpsNYIb`mU+9TZ^Q-))(13!pK0J?C$@CQMK3igR<4
zA?vwPLeUg}sP<L&*9n?%((2)S_IDz5;dUpp$C$!Ra>R(_eod%y5EL~yOMq~xlUymw
zrqCPneEa=bBD}@@!U{&!;L0U7HmyBoaM<-tOYmMI?C>{z@2;Z)v*j*x!P#aIEEGz#
zO4fiKl{zA%I3+MN&@E-unL+<=ldDas1SnWh-Kq6*D@e<tOHZGgflyEJmQP33;ej>F
z4y$+4u)JP`h21uTU3cpzcH;3+arNcNOf7MEa47il^|NNsa5}cuvt1SPr#yQ-B}E{=
zb=<HMGXpNRf<H>WDv<fF{Xy3p59lsTzwDba1^0%RQ^spJ@H{YERPu%mENrDey5yOH
zeeqgn;Uy)w_!-a8GFipWpYM#x);EPD+rq3J1Vtd0^l&%!%wSx*ZZ&yy0qjXz5{|vT
z6$qDG{XZWZ$JC!l9_8}`(CjyI>f?|DgXMbb;|IQC^|w3z4*bJFaQ5-#tLf5k<fC@L
z0(yt7us<&vC1BA0W9#`(R+2FBs-%1tm0?}{aTbidCh+a|lC%<D9O88|WOcvaWq!j4
zP&AW`AzjOSqLd*9bEJ;gDZQsm<MWyP4bP0gL1d{q@|Xx@BZWu!aVC>9zx%r1k|9`@
zx!6?}3W6Uqg=%)af%$7jqB&a65Dup4q{cMz!QGmn$=wRoOj-Q>lr2#P@K~;LYX*@A
zq$59uDqo0Vj#N7nW!~z;k)o*V{Ue;9HMO%Ozq1N!-chzEL`EM9GDJ<MzOzF?XoF<E
z&<jj|@ep$@Ko8P{f+|c@*+AKe`<wHPHmqOQMj_#?E|6XL-qDL$AX{{1i<;j@Ooru?
z@}Rmdyz}TxtE~QqUHCc3TK%jK^PX^->c5}^>;&nj!?9~vqh9F38~Gt@jXmPb-g#{(
zmi=}_xq1a_Tds*<@f*ReGfwYSJ){kR3NrnmwTwl5@8XVrIffls2%J>u(t;vI&*N`7
zmaq>GNM8yxe`A@7C{@=+3%;fVS%}InVuX-4R|-oeG54Fc#%4_nu!|pir4_P(?P+<&
zN0t7I1&yD&Lo#82w#1E5NuC8v`C^CpxnDCFrP+1zM<X4CBYYpZb<Jau4sYCDTjsFF
zEmcu2=5(-(JS=qN!#wswLHFL?rUh(eyN_zrdm5blm1}O#wtz*g9M3$_x`a(deh{(V
zO9O!!3D@_Y3z&e!Nxk*C6>OWy!dm4h6+FVnJa$YhVA7au`a`32tlV5TtR|caPl@m3
zdy5w_&KcjO!txC))#;Pv9uX>hYUs}8PFljmK0o=At;h-w+9#R}|D!-T)_#=x$}+}I
zVE=tSo((wU6Rb7U$q?`+a3iC01=Gxl7<<9a0iW`H$wl2HknFFKoHSU&wp}4rq!e-j
zTb9Xi`!*6}*wk$K-nEXohMb*sKgbO)GOI5x1!=+$oBX3q1sfR06KDK}6)yylGFgJ#
zh|nXie}vr50*l+coBj9jgL^NV#63C@zStA9xPG%jmZhcQk4!-r^Z(L9xv2q`*-}S(
zRM<g_XTx!cRRnb0>03*rG{D?0C8#rs1G3G;iz@yT1)FE=IiGV0Ad+{k?8qu7+_4H4
zPJbf?IkVEd&3FO?>l5DZ$mfQQKK4_#F5;j#`U_Y1TpdF0m~ciO;e{u;)48c4k{~gC
zbyvH;I{fha%Z_vBhsiY=qU;|jPzlrjz@e%R>7lHGcVh%$LrHe=;fxF%t=Ac~oW=u>
zrLJo2XJIh^kg~z9A`eN-N~igDJS6VTy1~K_g@Pu*l8873pj?P99D0ohvg=*p>MLUK
zp$zYzld{QQ4gcTHpYf1wlwGk~MjWo4SXtitO9`^}CXuCi)WP<y3%%*71dKZvIq&mU
z26HYG@k|$W$b9kZb8)N`9P*Nj^IBAa-S59sQ1>Q3jbehlkI6uOsh-=}A~jIe`^={w
zNq~;@Q%6|N$iX+6t?4CR>Tvk(7aPsJ8X%=e)cjhx70A&694WdQ5LhP6X?=_cW0lt>
zU$HBKx6}!wC!+}=A6p$$o@+vPJ38>fR0&$Ai^JcrZoV60ZSMT@Btx=&@z=RaIIyX9
z>02D5z@IZF!2~=N4EK%l@k}U#*H9s8d5{XcXEd!9Y-o_1Rc=w}tO}L~0{5gnqru1i
zy&i7abm&Oby+LKFL7zhjT`-;w)*V-b(uB3(GWI&SgQyNXH*)Lp2@DvD-C&$~qzzSL
z8|7N*1W?yW%DGa^0J`g^l7u*2$k+bq{cuzR-lt#Kr835V&wAJXDFy3;^nevh7)}#7
z8>)+mzZjs*QfYi4!VoMfYQnqpN$_}TXWF3>2J{4$@V&fX3?&Tw-3}!(sKj#Zj}c)&
z-oievg<K5Azs<1yXeWbiYF3Xci4MPmEvU3+fSWU~++G?`AV~S<m$HAG`Yco9>8~^e
zxxC`vdae{$r|fV&DNBJ7-1W;oVP=pebZpCzCIuv~4nGiXC4ytWS%2|Xb2z-Op`xae
z3{va)l|)?tT|lD0b<hx!Qo53B4zFA5Nc8U{Shu#sheoLYtU4?X{xpZ7J{|*;4ozql
z%-EmRtO!vGmx2a_EP&GxKa~?jgj2HdQ?e&yq164Yy*IxF%n{dml$HsQ!5|A-v~7Xn
zP}AGQ5p$?bI-WOYuMTceGo*ia`N1!v<B;MFb130ykxq<LgO_){t2{Gd1xsXUS!QMq
zmx}#uzgDP#r(a;E?CWXlX0vJ3Mz<L>HVJyqwBta})nxjrMiaKbve&%b)eM@R1%~Zh
zR)oMhw&!HZcjj>0@c3Y#Da0;vS(hJB*xd8Ap~fdO%(c&6IF9|M@Z2)-l*6nn=pJjj
zekyO7d1{p)t?&t82pomdYo#F1N#$qa<$uhtsam)6{{xU7PH&CBFAhbsH|<$gSP(5u
zOX1*s45oBnEf)=mf|&9lhZ}rsC_se|SM<~bJY91W60Zxv(fF$2;e0mq<+5WrdzUeE
z@2tNj_=^{`(+_h!{=kNQIV&VL%@~0Nt4mw>ZB7_HT=ClC1snQ#raq@m&Io2!2X2Ob
zV1)q76d7^?8_LASPbO_Q1Zh_lLiO`CY{U1Bzm&%2xjD&oHAx1b;9hxg+qDJkrNf;P
z9AZTeqeIpoY;u+(Ca#mH@E6N{%G@97%!;g9X&h@}`mnD@v+e8Yam;(4<J+d6Ea*lo
zRYTBA59*@5qJz&5VjPA#TBR3QklNoh-;<AZVOyz#e6(-}#uT~GtOhLTAxjAVGYMU2
zz9_zDk+le0Z@e|K%FTk#_NNbA4b_3<P|x!W{g+H__1Wi*ts6}7$A_;y7|;eccEvll
zj6O1tG^>c`JlkM;^b2*pv(ttFld#VFPJ_%9yKAJw!yC+|$8nEuH)w&2BXzaUVubl)
zHz`$h8w(1Ky)eI(rUeE<xX$xQ<IHBzvpVa`f_?>#q;pg-;2Dqd;eGKF%mmf;i1`i{
z^hsG*!DLh4-1Wsy8EVta6^K{0+{23cO)hZORL}t@FSkNl{>xM@6PTl|up-}AC$>4$
z>CjG4x4G3c%hbjU|K51UhQtfFPK#{%3eNdL(pus?^VpVH^@2inWJPqb{Ao{vQQ5$R
zZpTHY)46jWPnL0@*AtnPfdMKkT>E+M7;c#<L+81g+rfz@4vUv9o}xnh(`D}lj#XyG
znh5KF0yolkwz^~~N(EnGJRyE<jTtRr(dv-JgCgGBk<dX3gian1@D<)*Hq?{aOc{J=
zI%wuvXE_;GR{wpBDr7->>$)qB{^LhW{I@xzS4l8-NMy*rjTIFt;hY+m1ku;__e~so
zNRT$!uHz`mjvAh89BCF4LF|#rUsM}3L55rOC;xE{bW~cS)Wkv*ReiWzqCwPz-Eh_?
zZ-f&OUD6sKWr!g}D%Jg2N`zuH237D3H}Wcv957=MM|+MNKlY{&fl!VSvKYLG+-vA3
zc}W7z+<AGU`;`Vn*(&0rMETKwli$~ZOr=oDV~M|a{WZX=y4yidS`g`koxgokMh3aH
zGtZUbG{EAeTeh9OFygyO@aU6~LuToL5^WO%pd1qMQtuH#^sqv_p~Y6T{`rAhLJI-3
zaw~m8abk!OX?8s;ZyVZuE0&h?k^ouSUUv?pY(e#|@?Y`7N~le5<+<5s0(1vtC*=!D
zpde~_g3M7IDh{^KGve0(p>3tH@2e!y#NJyMMLsK|zqLttbWj7Xh3uTS50OSH4KwUs
z9;%4#Tz-GrHw`$~_J^doUl#eL<d5VotD&yxmm1?2h>%vKys&XV9=(1S9imgFj<Rib
zJ&Ql43D@@B&3%}xfV$4GM4#}|KnsF_R{|19aMp4uh~%q?u(O5Z<La8|;<)Rju6{Dq
zxc<e5<SU`%^K}Y-(<G#`F#531m<mx3?%0J5ZuT9=Zhx(cf@Uc3d(7!HIQC~L=$@tu
zGR!>U{i~9S1nQ)s%y!Vh|4aNzYK$rpsqOONIYmPSm-`p^G8yojH~IR>UNt1c`Se5z
zj*i4``d0_BXv68%AKr;%b>wjLxb5*uI<ipgE04<30ot0I)bnrxD)ILVHxOo^`CL1v
zzjk_XuVjs9@qq^V+P|msnjr%{FKNu0k~e@~+s2jzI*BMcr`L)~WFR?@`WM|SMj)qG
zuI%<s6AhSfpN;CFqo(qM3XZ>wK^f<zLCq$i)|MX@Q$}<o6!~nm_Z<c^ilkhBbuzmB
zqPgXkD-9k0cj(EEw*c;M3I~iM$;e2~BalmvimHrXgm>kb!t75M>rdy&DAP!mH}Me(
zm4#6RD;&(AyuT=LWhWUmbRNpNcT)rL%sqNNJYWWEi#&}-+DK^h(AmH_M?5-^vQial
zZw@i1s`V#1N$5;F$D;p;GGbq<*QvN{4(<y#RIqg-5}U8W-HuX3vE^ph`0ty;m&Db}
zr=Mz|o#Ov0T0><~hAVG6y?m2v#_epu+X+au%C@Tah&aM+*;!{FXAbtdtI6UGctpt^
zN!>drh~l=Ui9~I3FeFmX{j7)@x^_`~*58@~`5vz=-aTOkiLd<QeD|p!7a@~TS;`XA
z@!*g9Mu}#ioD>fg*KsJl%X{HA;RjPD!@);QV)MSf4V)i-D57sJM)d0NJnZ0=?qvIX
zQ%Du$S)MzkfO1yCjJ%|VF-3(bE@_-8^o*bMjWd@+q}@tgD_T=ns_*AJnxz1z8hG7H
zjiixmMR%K=_Z+sHW3D5J2+(GiZ6<a^0`*NjxZVD65jzq;DIVm5!IAiw9P(>1bg{0=
zqrPhydoz;%tt8R}e0tTKLtI7Byi@eq=Paw(n-{tqzIn#*?m($>&UOK`!1$K_EO-^W
z%I+SGLq-sJ@ynx@?L27FE#b6@+bUK(9VyrQ#}L@`zCRJK;Xo7R?4LM>SFpFijRpIa
z4dKA_(TbW-R#d-lukl^g70gX{XT%Oq1E@1pV8LswGb0!zlNi%wOl)IC$EidgEWF-U
zner?#J)7<AJ?)mT7>6fX3zK?)8RR{~pP6OeZoT|7ZRa8;bBR-~8`Fc1TLC78<C9F!
zHLby@&0Hm#X-`bPq6-gi$0o?XA7ff+DYvD@&0`aHvi<63bigZ5q2+Sy5HtDc;KPe(
z4r_6D^AO*y0~KNyqSJr%FjIo#@A=8kVRpOK#&$o^2I0KC+dnm1m}&Q{cb?0e#k9K&
zt{JLo!^Lr)wz-p!n5?&w%6N@uF$ZtAk@PGrcxm3yS8=o$yYlA8=Mc_W>`;lEfI5#B
z%()J36Z`ZWTm7AR=la|Xw*2d?Q};OrylA|=z2saw<`}Ox%g#TGS;q291+CJ7J3VJE
z_54RH#%bXTi|s5XW13GLilBpIu;Nts*cYtP%>UN6%317n;^AGK|7f5$q8s8kJ&0|@
zH>GkI&tY9x2FqT>Z|2P#JB^J!hOr%gg#Rtg&S4ztV`l_}X|Pycwz&!;n5{(rspRf?
zEc`qYdvl!%BYr-*;me~KsV}7W-QWV2SGIEb2Z;*Xd;OZKO@CrDf3$7sQcGCkD*|V2
zJO!AhtgNgVzcD*^e!(k|%NT)OZr<P_88Z4#&F9Sg!74H;^^C+;u|nHNR~>$lV4FTs
z`o8uwHlSA&J^W=2`zn|8ctni^8%s=Y_SnDJQs&tkuY3PtLTv;Rr=KQ7uN1Aw4bNc4
zc|_a2DJ&q^9rLrkh6tPoFOfR;&tYMDXO1tuWCeMH?I$ESh(Hn#C=>cKkJV<61eoC1
zA)c}xZRDx}dy;|@zuj2G$~F=z{uXn9-?lshkH-YCUOmqneR>(Yb3^+OWjhxX+J)ye
zC=lSj^oz~|r&h7tUdzVgN<5Gl-*>S*RUPK~Iv(j3u48RFqtWM7_`vBV?q(K?I$UsQ
zmJ-?6z)JGgXRf#iz=DtXF3u=Cq<cqhSF>Y<QoEi~>t-QvYB_!A76%?qXtS`m*04e5
zo(h`zV-aXo9G|hwR)bfUUi+AuaKQSnUg9o_7@XNvGdfCD15KZ^N|Z@X$bH(PO?bNn
zTG$)In4eW)Xi+Di_BA*B$I5aUrAUA>(bdA{qAGBmOnX%No)^sXZ$wc;q`=6L^^4Um
zRlsevs^w!9fMME!Gx@19(2VDt`$A9!Tj2`<%Kk#&arMtr<t{n6NbRvo6IX?77S$b;
zBoXL~WN<y+t^jxQo}mMhst|x8?iDYJg2o5eeAaV{oB6r1ZGf%{M<=6VbW^s#jd*Pj
zky#~ZF-#kv2dF~NVNMn`6A4I4TFkm1rwqGVIa{f%s_-%T&SZkL6o{&FADyJCg21DB
z+L8a%V6N^?g@&vQ3@sGr@vNwU&V*FBsvsUn#qObJEac$O9`#B2es%aJ${rB5iih8$
z-x*lWR@i=bSn%T~4RAXb<s_+20Op)r+&w-;*zL-t#4@Z2*u3gT`ZWy@@5Y@pbytFE
z#e|>Ai)09^{8~?Q*Mv5K1(|^7IJg{VX3LdGg*_Y@4W!d#@XGJJ^iEd=__-XeJWQcM
zZ~E|J$!RJ~RVBW7@>mrDz3HNsQFM@d^v3A>cN*BFZT!+V$3s@~?Zfx?Ga$98#%&^w
z0ooO^hLx?G`yv$3<0qm8dTd-J<^O4eA^YI=j-8wNJgQ*taJCi{agQ1({HF_<<CCoq
zo)dv0)Zk>;uLZ6ym%Lv_=)<?6ztxLUB=9#*A_RZgtnb8L;TksmHt(Ihi3J(B->D|O
zjMD<is+f$|Tqf{mVf<n1W^T=sm-f=^+U%ouE5Sz<;2g89EPRRrx0edHx4xmn5vwiw
z-1??K@n)UwB2wY2xyO@19~xNZ={klo%;0YDpSpY6RQP7p!FU}?feY&-mnJ@Q5W+{B
z2yFTPzm#_L>-$8oa^3Inz1AGaMSjP_k~VYkuHUz6Z{R`72d`C4w}6qR8&`K`lA&Xq
z<LrEhGDK%g;G82Z;HXo!!XYOT2%XrHK2fUxpWoj;W|D0I&H}Al3R^bkfC*2n&Pc-D
z<f@d{F&6N-wAfrrOas~sTKvl&2!r!-);&ub3wSg>_k15!9V(;G^}1~Oz+`RwW!khk
zsJnUna@JM@>YHtJ-TG<F?zgX|Zj3pwb}HLmAge&ff4*wH-Zjk0A5_OgHgj+meAPRJ
z$3dFyb+MCPQ%oqn?Cct0235vGt4TyfXbwMB(9E;SG!s7F`|6J=py1oxm9g@$qB)ko
zubmaSj5_?d>1hgU{nt&K2Bcw)tw7m!iUZZk8~fh<2(Z&T@k3s)1iXzX8zIYZqyB=%
zZI5>VWZXA->}(|lD_S=$ghcV6X(^KRqg)IsUY)PacpwB6<t3Bt_Pi+H&@q`(XaYQe
z1vHQSyinvOy}?$>i=;P7Ob8E+;ZvSuJx3G=>{a|!G*QWmT9d5<d_Ne$7vg;XKUo%N
z>iToyT{JHW6|x%hT{Q&Bb}8J3(-QW~8h3R+jTcc~td2&K4IxvqF9L`C#ZG;a=lIvj
zgQgzFjE(vkfSx8UY{#b`Sb5YF_JET-$Zq40?bLmJkRH!4|0D1bJ6I*LxJ!x$G0P^c
zey!=j&E%rWXzTOXlv@Y>TN^jJsnxA+;-m*38h5R%Idn34_}!9h^10ET*t3TY-_?b0
zrR+EEzyHSk`Cq-WP7*hAJ&;*7DX0r#huI=$@Z(G`;zkqhGB+wVQrjANN(XAD-#@MY
zGRf?jI2l^<gd5pk35#eN)`msRp77hzGfbQ3P8aX<@F4l$igmG@x>NM2EDLs>XYSvn
zuk`K=4=T-(vCU}Jg06-@We2_`rlHQURUHXl^uy^-SG%1SD2~+fH|MM{Jq@Flq(1SY
z#x3?+@vRIPPpt^g6<ufc)7TECF!>Ne;Lg5FyBXl%F|_?w)CMz{EzG0t13!AC5z@jp
zL<i6K&YHA27UX=O`1quVAUfR7*-;uq2d_I`g>N+3kcsDxgt9Y2C~Uk$F_M=K6OY}b
zc#g57!NX&QHhdze>+{vr`?qM|_+i~hv6cg=%<m3vo)ke%I@F0EYZ^%BWyU`e;zE2B
z?WMyLqR3Sy<Sf?|6=wEnowN_<Mv68ZHjW%y&^e>m=bmhG|NU^Sgu^lq>ak$aZ`Bn?
z@&c-izdNZAV=b&IoWX}k+FN~0k|oehB~CRZ0V-^0n`sVO37}6>L`#uHNrbBwt-PO4
z0pWYAuh(RS(D1_56OR(4(XFr^n{WmN=7(P1Y3C6^0})<vIoh)5;nu5b_&zcm?ruA<
zEGddA@ecibJo3muCGB#;6*81brF=}*7elet$cFrHE6Qp<n^k;-4B@+d>(&Fepn$l9
zoyP<eQJa6&+R#oi*vH%te%>UG*n%>Z^)!{xA&an)x!q(qrpTY8q#=nm2D(%{J#Z)}
z+N@-J)6bnYqB3>wN+IFgoV<fY%BZDXP+Iv38S3=zS%0&UL0yD1W3)vT^u4Yw-4jQF
z2x<3EH(2Bl=P03B##IenVJF4jsi8nIZwe`~OCIGBr@p4X$0L79-&&kL6><jSxdfXO
zP|H5KsznO|5_JeIv8|?pwT8IXl9wW)Rg@=Pd#-_s%gwWbEohMIsDx(?Rzgqes@wOO
zXrfo52cwGTXy7AJ7P_8_LpBtb=F3$iWHG05?7|B=)bSK3l-yND-45$Uq9PP@a{pT`
z_XiBf)z8>7-Km0V2yv-`1S<N{Upy7lqy^0N@d)81Rdj@Lkl*?d6}{BYC~%+F23XuJ
zxK|dB0&&r)I5ir2kZww5HP(ePS{~h+p^hBs_t`#$&``Kr8{2sCrcSkHsRc#^G~}G0
z_co7){s#a6|Njh^cRbZ^6vt)nz4yNMxYxe82bYFXNukV$$QG4Z8D%6HB@tzmhE!Ih
z??dR9Sw<ltWS70g&;RFjUgz~ZpL5=ykHHA9W0RO3yzOq-xT>mv-umaNh@`0_{4Y7d
zfD$5@)yWZSsTI+ym(E^rN*%Eqx`uCQ8$jlQ{}^wDA~M5{D&87bLz3V6A5qjB!jp44
z?4NX%&@I`*#&&%*bdMpeAxjuQ^g5;YP_hzQ3U-ZD{HTI#>LjM(S^(Yz^mI3tD4|{=
zpV-SXC1iMRjbX^$2oB$V$@1`)60)Y45izw^KzVPspX^N-K~2VywKQ!d#FU1D4Bq3=
z2E+8{U`u02)~b_Oda8&Fb<kH&8X5Ha0xm-Rt}#gSE%HnLRzM2xwIqqAlIS?h3|1jy
zSWZ8Z<FP1@qQif9&Pa)&O^-sJopxiGN`6m!tw#>6o+lq*+7&>=dNQT@etqQKfPS63
zIOJ03PBpI0gAT@>tG<|R4BZnCQ-2uBBISh9mCQ+Y)NHNK5$s|NvCMav8@@>+x(7}_
zvo#peJm0MpCSGI6zpRBO&PkzIBTaAFXH@7Z!O@8ZGXgpX`_%Mh2_*2kqNUJo2lFvs
z^8W6${|?N@*5u>GQDCFvX5Q&#Z1bh@$G8oEhmrFby_qPg7J6;<*JTRp7&@z#mI4qH
zyH_%hBZL^LwwVa|1DJUE<=$;cfZ%Yk<45@fP&2V&tI4qud)MfpljcW)C5wR|ni^hY
zcgalGDE2PtbS(?F>U~3qTzGbJ?glrKb~uVp`c+Q~dK|lS=92+DRu@dUew`Eb=1{XN
z9d02_w&n(iZ0Un_ZTCUmXYA-jMMw?($##;o)*VK6ygppozP3lR!-A9zjWK@7Hd4eu
zg<-5e5n75ce9tB$dUNf$=wRU|l9PSCd*&NG2=7g7`+S%l#X8cu%|1b-wnoZe;<hei
zHg@5hCuz{J&9!MWqgSN8K2LMI!@9836T_F?PKA!)<JmHo(lGPbkH_nCbO1XT=YDAY
z0Q$S294EM4gZ(C{v74=G1GV|xV=B%R$RmV>Zi)06n{tHQa%*kKJg=>Gl42K=Whk^M
zsO-WPOV%9*%e6pA^!&o(XWLlb+~vmj`97>6$1>}-kQQh~(YsQVZ(@1m#;bLP!&pD{
zA@jm`O~_hPt?J?0zyg+c5;QwUF}uA-fh(&TaHLDOgxs)(1yzMff1#bg*wZ9woxC)F
z!F}c;v3eDo;?NGPIyj9rC~EdMj1b@&=doqq`4vp5uEvf#a}L9%(roD+2oPG<O13|{
zf=O9RJUzQSkICcpj`RJ%1GBS@qapJOmKm;kQLuaw%Xz)n^1~4iMa0QSq3LDpzO8c@
zRph>YB5se6$JOCWwC%;h)n#mMxH6yBZWW7sQdLX#Q-_vDX)8U|6|AQCQkeGPbxf0J
z_vp*E8k`Ilq!~+J!MZoSGTUr6u{!HGzF)~|aMU+9*+_B~qmFyO>=V6>Rp7}oK@w`<
zqqmxr(!Yw~O$w^%JN{v2E*1`S!KzSw{PXsmcWanjbEw{uBn29pcj_ZNQ-QFcr!Bb+
z>sWMW^TDH`2T(az8E?dtG8`}8&PiC^!1{7Va6;phXz<QN?>}W__!{T?>eY!YjACAv
zA<>^2rLzulkB2G2`C0UBW@sDpe?ZC4AWVz?lGToRbt*z@Qh0La{eM`Qo*=!+A3Ah1
zMOtG(Q4t>Qyq!&m-@|M~Xg#DS8PH9sncl2a1&EINt$U}30-eFjo)~6fM#E-BiQ>ER
zP^EwBc`hX-D!w(P@%J1niki6+!WbeCia(ervyW0Ci^d{n#xQnNW7agqxh4nfv%kq3
zb<{}EwDZWTAr7==)=@2XT@FP2YQ%hx(W2qbJ-Fq@h1Lam^9~Bi!N$82aq|rH=#Els
z#CawjWP3!gZ2-f;0Ij85)gK0=m189?*w2fK!4vsh#KC9IF}&^`6Y9Mnz#7}hk3!=t
z!-sWoplK}}CTYxy2Ab6rq89}brB23{KPL`2#f}Q#9NE#SqTzE5Mk1)Do;>-H0tYo;
zXx4sIa3F&nnH1C@h7@)wg*NDLkmGDyL{R2JjYj_&8W1H==1iT-D@7axMQ?V>H*up<
ziM9xdSCUASWyD)N00#wX*=Y}>c~OtHTak`|G%C_b@{}0B0e`jMBYh`+l);(VwKpz<
ze#VLSsrbvmb^vdz?O8#@b^5|(h9Vpys$V?ittk)e9?t?$vM{>qUFuj7CXbGq$=4?n
z6hNuqo^R?;QN-E4M*Qijh>B}2FEs@y0xp%-W4S~eReor`d)Y=AO-#!4TwhUw<yw#B
z_B9E_G^6ika6}dL);xc~(X0a5o4Sn`Pe`E-sen?c95tj*{;0zmss^G4$cna38jUBI
zJ@dY)j<~POAKI)?hq4XX=wMY@<XY>ulI4m=+srML$D|36;FHXHYJYBrbXA8%5d!Lw
zsGpog8qn^s@wc0ApD*k=j1S)s&~nzG(b)toILW9Nc|S@4`6;vN=y7YHhZDu-ftPil
zv1a|mYNsN~k61A-(AGd%2R0>d#p!{0lj*$J0cEr^;c}muO9S~at@oD}>Vw3uW8D?B
zD(HpwNjAtMAVZI>8wt&Z5Mo<H<=(4;WU-&w!+m%ZLU!@a_W{V?I$HGptSWN8-9+@M
zS4Y8~6m8x6oVC)*bPz38MLwr1PkwP$Lp(EFUqX$I;T`+aOSkW<BELZDt-!0ws9Et@
z7W^{?Bb^()UV5r1DWPQO<b*u>icf2qOfiAI^U9Ic2`cD{3fc7spDfZ6;NWXsHUT`n
zE<qz%8J%QhFpx2jMD-0iBBF|9IN|wQXXvmJ8W{<`IIu2^COc(QH?+u5I9K)XNV@{!
zO0}BvoZ>-#3{&>SLS&c-X_%{)lt*2GPlbIqSkd?XsVMqk6JXU5qY|^lp{uK#<F<uV
z2oqA5YQA9thX>0(nO%}W(H~Pn%|@58h2qLj8Nw#;bgB9e&uu9L5B_!7EVg4mzu9Cz
zD=>z0w7LmQB@)OsHD)<0XOu*)-qUcGGzMSsjsw#V#8B(ohf}kO%Opy@N^YTCBk-QQ
zm6OjPjPhSTxU+b4n>0D7`dX6D2o@SnHC7h!Bkp|J+Y^x#@Pqg}Y&Z>ouGVPI;}Q?L
z^y@=lcL*iiB&>a%<p40dW}(6x!-?X(ly>!NsbH@r^iYff32eWNE8WgyL&kOW>oOtK
zARE0g*QjR*Rzcs)C36{3*s5ksL=!cPiSSjg*cgE6Wb;o>L0aT`tw@ULGc`P<=Ki&D
zSsy;QymhsvqeNYf*Y2Tv)Uai$dM&V+2xmXnc89;;!IJutKjBQN!Ju94Vc(!0e4$y-
zIj*vXMeT@<tc*|r#}H>=mXIDiZPS^}I<bJwxY23ey+j2i>6A=@XLaE{BMFPvn!xP*
z>oPxZQbB<JTl0=rI&k8W09Wsqek|W{Hf8J`B`5`~ci^dYz=o^K*~YH{)0KZjd>KRu
zI*BQwJx<yXM5fpbxmro$?3~uLHKK&@kh{`Wm=>gxwqsityGYzK``1;T68Nt@$TXMH
z0!pFYk-4=Y(q2oU#hxN1w0r&i8k?#K^innM$Ct)Q1zxAP_sl7QmHl=42MSI2UG9Tp
zUz;YiI{oUmNTdWCY4QC3LNtKGNxa%U_b=)0RjL;Ylaz37@<&d@JOMQC<>Y2ZEs}1E
zU8(zWjtW$zjD_la3E;?5%jA-=OzJrwmEKBC4Y?69qZb$O@bKko>uA<0Y5ro6MEm}~
zgujmuzk3M}4NY?APG_u>JX>4d442SA`YPHLqQV35_sFbI$|h-c>8G>q8(MHa!y-kO
zt_}sZ-@z<pn`FuSwb*Qg4hoVVC%fX*K~D9-NNM&zQu)>Cyf>N*koKC>!2qd2MVi`}
zM9m&4#amp;x115?=A(Bj9Myos)ng%GlLB~l?YLe!F+<pMgP74hRTwy6MT(c91UY%G
zUprc?;P_d?*~m&22E_!lPPtP7o9R#%mpD6IxbYx>_K6BKcd@sPS5rg&x=D4RAqOx&
z>~`p2RDna2950Bnv|#>5Z(;N@CnT9aCE17VbGbZ}FW?m&Jn<+#ocDzbjxFd(q^>E!
z&2(euC$<bgh>Fo_I>-aZ&K@vKx~c?RDCntxBooZ}1tnUK@Php4hTMGtB^dpCCX17k
z1zt(h<1KRd;p;B(li5c_z^iU~&MUCNs>Hd5(nvvIk}=>pAFT*OGM0nP)$FjsD*nkn
zUKog)FH<CrDMCE?wo>#G2S`rhqgJX!L1rvveo<Qy{EB}^M4NHJh_;*I?*ws({TkX`
ztE&jo4=q|tE4bk+gSOexb_vj<)C=ygQv_kf%iO6(yfDr^_fJPw3Rb7Ty3b`PLX=>C
zbjU0peBm@ZEtVk-f`52ETkR@Br8dn!&vF5XD)V*w$|DO@Pvq(z-%^5;_8$K9xk8{m
z<Z{Wd1P4E|Uux`{D}!+5g*>k!5zt!<iZ?KqhuSAI`TrTJz(dtiztJ`^NPIlKYPGHa
ziDAC%=@(SNqy3Kj9K8h4*YRXHJW&F{BcCt*xu6F0wF*)7I+D=Ks_qwgLIoz|NM`nA
zb!b~1Ea?rF0v`2Rhvr39$gkuslQF`>YzW1yMwK*>PKGuJ)b9H^tIPN@Hv%L#Hj-C&
zW#ISrcbub_I`}(pM;g7*fHfn%N-;AW=;k@TYuQ!@XTA065&<nBa7Q~7$IF2zWeN9R
zFFf#%pN;$RR2$UZ1GnEhd6+j3^V4~b2k*N}ed#v3Ao^Dsg1#w$l~0{*VHF;(QBV0x
z@DQQRD4v79R}nsV<k3gn#Dl<xc9QFeJ_wCx<(a%t0@~OWO#^}bKJG#<sh$}^wVjnh
z#0h0Ma^td*^?7x8Ca!Ua3lD%%&81E>D8t~$ufOP$8mNk2_#;kX1j@1RZ)mM3!}4+T
zxG7r&iaw_=%2gY|@&>OqeoPr&BwIQ7{8j}1+?FXO8)Ha+&zm5bq6~83LgaH(a!?kQ
zc3iY`pMzd`uUYnWz2p5i!57JZ|KfJp9a$5Qb8tQQT2u*|l5Hr1lO&;&#^A|gdlN9w
zmi<j+RfH!sdK81LqL6b~=S`fK3ADNL(|m1{hs?;^5{6&-VXN|lsNjD6n?%d*X*W5z
z=@)r&*OCh+Eof6iluSVVo||#WPg!v2>AJ;I!wmK!gaYR&V^}qzzo<i&0q!Hj>O8^y
z``=pH(S64ls&b<WiI1e9Z_TIgS@I_7S=mD6ePv@ftBVux`X>R~G$C%}t{Kv?=oaan
z{Tv!rpSwtQ5r?+H=4aLi+DQeIpTqJjj6k|4{LgNl2wb~u|ASrn3no%UZ4>+rfWs@#
zZsf5b1dqD4L_HtF$no}Ps+|F@2J=l?eBlFQ0-576-yHT+=*6;34+*|C{N>_M=7ABr
z8%J2@7qH~zBfk#)F$8(FQ03KHPPliLcjV%SCCps*1+O`?A@Bsz-s6a3hc4fch`2Y)
z7`HcX+@87te83{<$rH@rk30K0d1o2p_ZgRMcG3sl`o--c0t58A4^pHzFJm5SdGBAP
z5#dl=6)o!s4R9CSrK=(=W7=Xq5AV0@LG&_NMS6mAUk?U5pInx(6TT(^#%y}fl;kJ&
zokRi2{n=Fi+!wJlZs%Wiwz{C-P?2-GeVe3vJUgqxdI6KOJo7rPNC(axJD1J)be+^V
z(`n)r@E2Q;o)-<;)CRW%;@1?)71B=3ZblBwVPVPb?^^fs=KOVV<oU8dy3p0h${;&~
zg(Qf%n!VP7p{Cm(>*(i5L17lRB$TGG6*mgTTy8D!VGSr~#7&awb9HJfPETOzAKB~g
zL})^I@X))a$x)K+gNpF?mE+hVyOr*rDGhM<3;#6hHALcE5?uIaJcd2YixZEs*8njp
z+9Tmx-$@qHY!C7&Mlt52c24{q1Q1JTvUGFlB6YpFqL({Af_ZP2*<_dzU~xA558X}+
z$)!QPSD0-C8<Vb5>1e=%!A4zUQeXp#`S^**o3%sOx%gsokue_TKHtc?HC91VwK>l*
z^7bcIoAvtcc9S|h9#K{FJp72{a&w&b6V*@brcR7gg@rm$Q?cwml1;!kCw^88JQ>99
zNF`QOe^UdB^6t3ZOV6>I|D?QVa|f|+dl{C0+|)p~Fg4H8p$fa9-e^%eGKe)t5rZyI
zslul#!^)>c5Vmsn{76T@Ppl&@@tPQ$Dpbled^Rv?#Oyn(KXF?OVIfo*H;RcWkhO<<
zOQ-oCmQ&jM>~G*O#!&z!6TZr@7^5HYi>3|h9Mg}s3>?7}kjJTaMN06&Ter>lQztfP
zHE{R-(O+0xpr_`}s3I5@i5EX^{E8{{wUiFnjAHyhoF#9`C_=FBF8<2PZtP(&VIuze
z7{)!sK(O#tfZy*=RGJp`Vh>r<j-?KaW6{U|xd_$B!-t^;|A{x>F~#TxUvK9LEO{!m
zaEM7BUVnF~=l$7_by-qHuyapg-XEleBF@SIuUZYmErmfWKhu4bd1o549#YmDti!?1
z)eu#_$3s{ThyC<5p*bwkdVzgL1P5lnj!T>=8o>_lMJ*66{l!eB!ylwymj%fv$JRlf
zQLOxMThWok1uX4@mO{&{46uDr{ozwQhQT_lP46sXKT7bU*X?D1q&e_O{>*QT@RKcS
z<?b@Zy6S$Ws#O|3u}2AB*O|n+3K`&}!z$Kr+sw_wSQ<1`el;4KOk>IQU()=KuVWu`
z%Vsm`q<}_UnZNkzEEcwRR6-$q6T5c3NcE_J6jbN-Uw2#kgSm4vGHmbX_-V;rfoJuS
zz>;@C*yZE`Hc30ezIuHZyIT+2jYlM5-M2IFSl1$Ec_(Cfrji0>G=&$m_DO(?7rjnL
z$TC*bb>>mx2}<NwSUtaSK?2^9?@-c{SFwYFWV<jSYBcjiZRS3;1l$(!X3I8O$0{j1
zx({;EqDZQYERF(kNS2MUzaPAb=?0{gu9E1H>=56>p9jTZ?rS1f-tac2wsobR@(Cj<
zBDPd(Pl~~{Z`$@fNxRsf!@$`9D;CtCx|1YnB?cX0-D6Q01+ptFw{sI^M`_nE9rtEY
zu-*+ZHgTauo1wG665n$mpDsd`t+gopRHmXfRiZ{xBB5MY;<!+&;Y+R26%p`BpzryE
zqeZz&-JluCgCbIOTyMV?0TpI*a~eB(RQH<k{pJ%sRGR<z&6{KqDBS*mFRN!nHuvst
zNHPkd7FTA+lq3<*a9;X!!J7s7<(b>@JQYUsbTa><%SGU%;Je}jO6&-$E^^|H7eiTh
zrPlClqR{pD^Ebo)IM5f3^O=k`5@=6k{NDFMQAo0ok)*iAg<M^y@08L@p~P|`i{n)>
z_|j)|=lK47TV0)=yra@6?W3ODNn3Hq{>CRFki&<R`KV|!M`RI;c*~Thm;|)v-QSy;
z6+l6y(Ke^3<k6#<&wsciB%w;#udu^U7=7}MD408_hy;qFLlr%w!18L&%7Tm-GON{i
z&{(33WDhppPTG_PRxz*0e0m8~_ulXZVpl`w=5ieSCuG5qlPM_do+LWRqE;zst&YrO
z>L1YP$%96AU`M!tG!nh)dm#D_9zEtg`sVt+f7?EM?6JhU3_2FpS3J^4KtB!%#0eUz
zLZbfdU;zw=@}}rc*9>c*m2abC&!g3W_@wpV{4II(PN)6mdY2|Tzn*{S<0Ar`u$V3B
zv{yuAtNKX)TUzLc+7ho8r4}6As%;D8RYpSV|I!C{w9r%v&%M1Y9grSYxN20Pf-WQ#
zH2JV;BOWvF3l?@nKo6=H<~h~SFE)4nu?j7;q+Zn}u4D)@Un1IKpQ|BOYsy~E2~Fho
zVr(!V5@0ovtgs-Yj*xeS|G``hgugM96xD46N5rSaJ~*f&tq*>jRHJy5J(~8QkKP1M
zRqZ@EcwQZ~U;}ayjcQ1|A<EN|jSLCek<sUg>PUTCr*Nf431v^evMT*S22r8Xp5<OO
zB+_-WS^pjmB@i!Wkv&a;zsi!nT~7^t;Mrl&a+X9a4_cj)%1q&rD^8L)tb*`+`;5yM
zM4?-2EHt&Iz$J8T$!|jmQDysF-y(7#3qnpUImHxeSDC~TyA@F1?Vj6(uMeQ_Pvfs$
z)-Z(}8?oR0F>*-bPVwX_`v7M7*(2;*H5u4jlr;o}WzkC5_n2E(7D-b_`h`H248O!v
zbq>CiLh~g$M_HXIL6_CO-6Gxu7MdRH{xFq5rxgGE2=8Nndh^Bp<`H9<ld)A>92G%j
zW#x&Y{%m0L{H#GD(HPhTXR)e40c5#7>myyw0Utm8efuQa2%b8I;#A2zC^IZK)ry-7
z&T#fdzTEej0h*6V?XDc?-a1(@cAg6i#Hx<}^8*OVVemhc!-V_?`ubVCxPfk{=7wP#
z3C2&VR5@_bple~R-YE~b;Wz#1363^Hs3D|#DID3w@)S1y^5k;E<a~I^^FafkE|VXQ
z$ymn3TdGv!qPc-xb)^2+jy_17fpw?fW0+$8q4PY)xnWzR+0ac<A2xhpq++@pQ}fLV
zpBCl@k*L?!Lmot!^Vvx%t?MVvj9i}1n&pD|pEizsrFt;5ys&W&n<2HGA1ZtCkqd@m
z#GP07bfIp}?xRcgGU+$pbv)BEE@0B1wYhOd7kbv><!7`uNt={h%hr#%Aj$+MM1yo7
zAWt~D(tMY+)1P!h<`oy{i3YuESJHtFeIw7M&;yVmqMhX4#RY3Q3NG%CwBfp$;-Abc
zDzISId~lY98=S0}7JNjsA?xaq@riUA=-JW4GrDp^L@K)TG+zri&c0``45S0+i3F;h
zc5WEeIrD5uK@0ZAODZFD7~sl>59-A>Jkb0>@`T}gO}KVylJn{UBXH~LM4VjZfjQc9
zXESUxA?)K_`G!1Zxa4?-Y*fYzJ6}#vajs~<>j0tu1T9#>^n@T^dK@1lr(}Jd%+`QJ
zkt(x+EjAG9NZ0cY;fKF^&pho9YwYV~$H=>n9Y*$?vVKGhfFY-odEFiXp0y?zXujhB
z0W)Xf-$FsKNO6#e{6K(V)vV3`9&y5FH|y|>aUt07z_IYg6X0}Ai1(j#E}#ov?R#V>
z0#~-Ki3!*eAg9@JNaqeWuzb7}QTIj^(j&gUQp6MB)2Z^eY!7(gx%kmMIdO5Qyuckw
z$4>wSYJ%nCH@xsXV>?Z6Ssa422>37t0_aE2@=f>gf$m%3r?X!rprgO+u{#|B3f=m`
zAF>L-zeoOR$7&_v(yN%O)tm&_TyxISvJnJsf3llGsT7zs&B%o)5g;YD?tM>*5J++#
z#rmI015^9poyR8$pyqF0V8|u{Tvxu=9xjmqv&5^yM{W~9)&EykdyFWAT0Jirc_9l$
zz7F4f1_(g)>+6aNl{i?m>Cy+3;XqtQrD08514?JE+<n+04$Kz>=;g}fz+%{cp!BH*
zm^XJTGvAW{6S<tg)F<)~a*@AGN?8-$8V5wJdPqW`R$xxT9R(;CF8P+xqzTm&!>N~b
zq~OKPwQ#%hir~;chxG?)!AoO(g`*78z;`I356LKj%AHWdgX-F#TF~>a{hKt<xq61G
zeN+Nl&c(Z#lsce|D_Wk)m4Qt!(|<d<`?>IE^T*F)I*`gX_|4#qEKuUF{8t{M41O1I
znlfFwprlwEFUy33xvCDAtJ%sx!+YtySc@JUP#dxA-p~K<;<`@WzM>3Q?kOAje<Fg7
z>)a7vf*fSLBu(59QHJ#URnp>3`p|at;4f0499()Q{qIk#68t-;_5rIi0Nd)59FrSz
z(D1v|^kSJJT+l2K&w6eMa^<-AXcc+5;D<n=Kmj(j50`D;BtdM#<gp%Od5E!%7>zh9
z57Yj|DrRy3u@$b9aT@Ya7*K0Yy@mt)^m*woQ2_7wD>Y=P<iRMIf>GR4c7H#)9rc<4
zE-jz;H+v-q1s7u;c_V4ylsFiz^$#Fy=J@bMJvj&nC3$hNNWtenhm&}vj38p~=q-gO
zII#T47Oie40lu`3AKSH!z;wm_#j_1r*fJbjHMJ9i@icifPBa4E`{7*Q@v=~GxDm%8
zEextVuW8-XjDX_Bioou^53PKCclC>;04V?W{_$&GBRCfOCb&3A8h&~d9^Z84g?lqg
zwP6bYDmFPbj@P81HTa{`$uTa7Q=}Y7zyMg4+{_abC86+*W{v)94v44hZFm(2u;eKz
zXPzbjq_?+C)-&1QQEW)(b27lL@jZU~9C1)e)b@Pq#0(6h&nUHbNRTosrvBGf3`+Rh
zLhUOVKwrc?WW<96D{8lxx^9Soi1u}-ujzD9Y&TNT(`pEvxM{udHX$g-sAtG?G_ZwB
zwNh6$g!C)<|GiNV1lGZos@=ELaIYK7sYo_}QzI4M#tZmiHb1OHWS9!lrn0`a&gz4m
z;MJ|;dVFw+Xs0c5mI{!JBXfqiKHOYn921`Bf$kuln_74(a1LV>U3fu+nT(%?oele(
zptj!1Go^xocD=O}b|U-_0096043}qEj&B&o+k5Z5_k7>>e$J*ADGj3(T0(_TMp8yf
zB9$T}Aw?OH+54!ZK|_VV_Fh7JsQmkQ-}jg6IPUAZe&_GbjE?)E=Ypu|OpJMQg%NEn
z?h^Bd&2asFnE1<T0k{U_*GvmBA%29rEw#rKCk-<_W@q^^oPXb0u969An{${RtT#nt
zl~|9b4L=qVGUtS|nPI$eKkZbx2^Q3bkG2=`flI&D{9_smzMK<&>8fvnme2h+kLvIt
z|B~f<#Ye2*`Ymf}^w1cO>bZ)|vv{E^8mUG%#D<!%54Az+#>kUCZm@@$7ktNW_^z09
z;G17#4SkUjf+m&5Pv-H!?QcS4WHBd9IlPZisYal)T{(Ai9}g7m4%~CG<VKg_!cUpE
zh7eHk36TlnL9dJJINK->>V~<lEVvkAgA;whrE@%3f4zUmc?%!591g3W>M;QMp0l#5
zg$K@e^8$0%^Fwl-rL)s91MD=lSgdp8MXIb|-6jtKu&i{SfusRU==XNb4Dw=p<3YMj
zp@K-enX9S#ULQ&->{4M~d^ni!;XvLcAp}%C%=g)+kH`Q=wVZlBFs^*1dVUf{<#J`Q
zshmDu#Q6=Sd-0>0GQK-jN)+$9<Jjze=;4E!XY7G#e!QX0&?xa@NH%<`wR&9-7Fvo9
zyYC9%*`W~m&{c69(V!D#2-d^r;3_I@k04Ch=FZWjN#eiC)WH=KJ-qAhH>q|I!bFI<
zX1=8~^i_qgJQvnOgoyRoHX~s~q#V9lMlTC{@f{LOD^zeVX<ArYh~Uduo`8IW9H=Fi
z{X2eBaZ|A{ZKIDUgyJ%Eckh-*X7fH5r?vYFPAq(SiDKx8abeJnP{1&=Z2#V6Dhk7H
z-<W6+$Eoip>o1;Egp={~<Owl7Y)-ed_0*Jvm*2xKYPJ$?B)imB+O5@ZP!}|jBZViI
zUl*CYR>s?)lC!Dtdf0xh_FS)m4E`H0`mNZbf^Nq-=(XrU;3(a@zBjUn>wN87&Z>qY
zieJocV|@fVe7wj0Ob*HPM~c|A)sef4-(viUK6JjOmmW%$$A;QJq=t(IHXm>~Cun1U
zoSjK`Q}-)CqWi$seZHF5Q~#r%Y19CpiZc6ceH4))uM~i-T5u|<%pJRD2*D5YzgVr5
zFlA#9;bEx_S9kG&ZO4r8X*t@tO+gtRmD-Z!E856US@*^`$QW{MV!;{=Dp=P&m9+7S
z4n$uK9Z1+|f?iYSqk`X6z$E0UF+Qt<!oLI8+#*fU(atMnnX3xx**J!O(z<Xw{9(Qz
z$qXC@H=6jp)j+rn{*`3bg{A1^$hC*&xPLKgwQoiZ8UxEV=kMvj`SY@pW0M7Zdh^yx
zMXRIRb-&8Df7+nAuWyn1ZHXm;W4~hC)seSL(!qyc8#kY(PKz@T*mV7SZh)i)-kev~
z3F*=V+rhk533@;{<@?x(fd(u^3N9YsxArbypc@ng$baxPa8S{JOK)cA=tni|U8l}O
z{~f47Twd!hb!f9rc5hx(flYe<iyP|J;Mr|bMNL(Q(FX5cK3-)s#NK~c5Mqs_W?x$~
zc6F2l_tJPo6%n(w;%dNUYsl&(#!dRGA+5-+TS8VIJ7&xR+U{9nuljqM*Hu+0RyTHc
zhsa<qSgxn7z#6T(ry7(?Rq#DFFk9li1hlq^Xf<Y8gMD*Q*v&V}Ab&PTp4}#j@M-Pu
zdC}J3_^$NN@R<_siCOh8*$TmMB2eq7vo#h}o$mYQD&nDLOv1%@exyWs=U(Tt##~Oz
zU%NyF{FqY~nKR_Ua<I-7htEL!t%Hd#Bjl0w=u+lM2@a^eNIQ8o9*FX%XI|VYheK1@
z>a`D9&@NW*a!3z&Df^Sf_qq%QCyzfp+sBCiIxZ;lyd#i4^lRUn3@OB4yi<}?Ophw3
ztG{;e5nz5cTGshM0?ubGB6%6;pn9h&N^6G|MmmcmceRUQ@jT<)+3PC=X_I)<@`)up
zwrAD;rzMK6TNfR4n3sv6Fy_h?dP_X1>lp63B@CT!E5~jr{Ux+V>~v#2EznbYK-0!h
z2t5t{Y|Y(E1oKStzVi>v;XdnoM}0y7tr72xGi3h~AwS&Ap3<9xA^iH1{zrZ^ip1}z
zZ~RMO=|*~hpBWa1xVf_`_^?%ple(*WnQ+>zS=RB^6p?#n*2ll)#U|kg9>6NmHdM;8
zS<Vz=lJ&NYR37|#95c^8{Ezr*Hl#Xp&IGaMOBF7CTo5WUIC^A|4x!Orr)s8+@tb)h
zU9g@L!w2#XKb@k-ypz|#p<Tw1QaQrwFv@{@+hfj8i!tJh+Wrf^-;H2$$M&m~83(eP
z_1?C7GhsG>dCA1x2wD{^msei1L;thZ-Y-SW*z2RbC%M58zA}m%&h2K$)rg?}F;P~q
zFPu*c-e?FKdlZpl%Z}XU&0juUXTz~i3440K8o<`>Z$#)icI>y?dF_@72RNL!Zx`EX
zfVZy{SA!0+Blyuit%cv5=<E;KsxzezJ);75|7v#Vgk;FpR&ql;r(<sYIen<_Xe^E(
zIPgT|bdu)_UJO0uFDR7PhdZaqL5404FtE%f@ecA~&w6vg`1g7^)2E@|e47)33$(UL
zIsx=`Jx!Dj(ZlqOZU6NoaY0jLI?<LQ2ziO)g)IVlD9z;mdLo+}0o@xmpNSH}e0HV{
z#|J7JZf1HJH}HU=<9ef2qcA$oOFNsyQZbnz{rIO4A38h}5@xMMVJtZ=Gh#)BanSU)
zr(gMS;!Lu?LW3AA&;0Fq#Y)BZw9zBXkNB})^4CG7LlR)t%N+~)kAmtsNBWd30Z0^_
zN~f4e;e)x{23jcvrwp?~m$L=I_(qn)QcMP_>z0jQT%*8Q#h-=!sSqU0QypeF<dAK%
z$h`Fe1-5KAvIBaBLAHB$KN6G2ma_cDA4wFHN2qh$P!q*X?P`4iLj}ah7cwPXr9kK6
zyLiJj9#vfkn?LQZh+FJE_y2oF!O@PKqkHKja3&!+bRts;u`a90TY4#YTKmP_?6M?|
zpL|r7{hu<NP1b#RB2UGMKs74^Gimhw)PF9ktcpiwKR#w3rh-;2922o5gYZhmRrAAY
zcu;Xtp{|#T)8EFAP(tOf<;H^-PioZR9MW`UG*AzjW9FirzVi5C5jUePs)^+cH}U|z
zK0@tZ?a$kyfYE7ref@1(U|HHVmG)8}bV~!7{=SOndhstoAVnK$_0OZ|lMV2SUw6uH
zrxFHd54bMg(LsoOMPyU7A@<tdPPPwKhU1$}Y?7I}$n2X;G(BYmmCLQnVqq$1GyEWU
zQj3D@<$AfWJY%?=`{Qo7OBJW)`!g3JDUdYjH}?9^1QKR%B=&7kgHe6?Ezc_y9NKT4
zk|uA4*B6`)$f~F#aR2VJ45<`QGZ{xW9WqDsw1a;5fI5~(5{@1WprDuHNW^@$KruDz
zMQnlww(pcA5}7He_(8R)leYr<+(rJ{6%Fh!&>rgjtAl9f)^wlU1irq0zByupCQd7v
znRI4qV-KRApIi^z+k0~;eZMB&Z#DI5?AJurse_En-vITqPMi+|HL)^f-H^P-nG3ZN
zD?#h6Q8}m(@>oR^fdZa(rq!wt%uH9$d1MXOPRUODmm0Xf$MYR=Tp4_Ke5&uwT7&+(
z%9gS<-m!+KGA=79f?HUr>YkDf;*x6F+C0@EKXIux=#v~uE-Ec|nAzaPlNhBJp=!AL
zc8I>1UmDNkP0n91wZSewKfYi;RV-PmCFp+=gI!nH^N$KPnA-W{$yrkslqjDo&+imM
z^L6e5%Az&$nRUdc7?tr%BueUvCqI@W|D7$PSws8&O9WObVsmR_ht>fuSU4MQ+#X|%
zBI`~){a6J=-7Z}gkYt4+t(B8)ji;t1Cwaup<PkU#>!o^&0i%trOJ2=@|8!BL{DLfe
zKcx-X46YDviITNxYrIY~aO*jDNg54IT`#KH7l=5D)XW1R;6nDe3!j}N#vZ>uGk1EL
zU<qR;+=B_+edd?+SyUWKoaM<G+J6ZB<B7%R^Q>T~F|V_YR}{L6=a1_?A15}?Kjdug
zwuG8un=hNTFl1QRSNm#5h&_padXLFkf~|@!h4p|Sa%Rd!F1Qa9MciV3(K{{h$N#X;
ztuB5jhwP0~<r*f6Ge<Oo*0>Yjs}Zr~03VFHsxB?PA11s{KlHdeV+OO6nRDAV^WgQP
zfALwiqeR*Knah!OW)M)%jrSDh!bE#S>ABtG#NKsUQ9W6vc(GT~M@ftW@yuG{j|6`a
zqyN-*E=`(1WOv)TMPD{dOwXvgrvD+Ty%&|r+)VIW-;n8RHw)NOhopBpPZ6K>^#a(Q
z8iV@r+@G=>W~d!rDEp~2L)>~%9@!ygj5~$<|COdP;luTzQ!6ra#M!SY;_|1Bz!V{P
zOW-*plHRIBT{c`G5+4X}`Y>$>HYwgZZ+1pxq$O)QhAa_n<4dPrhpf$SN~eYAc?S4V
z|J+b2T_!>sCY)xw4N$Q9_obd51Ck1cRehxY5z=N8O5wf+C|TlGj-qFPm)ERu;uku|
zM>ciHcj}`eAjNWih8}JSn<+Y~4B-31xx&9wAO0g5;R_rL5VJ7Rj=#u=n73bC?Z@>X
z>+r~n-vC8Gy1#}2+?TeuzTsfTw|#kjHPLI{aV^cmIGX{_G`Md2-eiGv(M9884n4HZ
z+eE+OWrS@&?}(Z!8<vz<H2H5+At(|eX?2$oY;^*s6+}7EpgP_lXhDTiG^;wfg$XaS
zL#~`=;KGK}snou93R=%@^uM6ZjPoVmztQ-4uvtXY_E{VST2;gQt>jtIP`5eWT!|0S
zeV5|uG$=@Ea1tyxWQCKEou1{ICk@%K*G-q|;&K%}neS!8jZ4dHy*C6ftk%5AQBD`H
zJa}TX*Erj^_-RUyP6**q=SpL<bRcM3NO893gvIM|Hm6u&tjnc8Q6i%Q&45z7Gvi!{
zy|6LcTtXBJ1F5zurP}x?_4qgI8y;{<zSNTVDh4|5XFo!>YD23_Fhgh?AH*_}i#nc3
zK*>g2nh?~+&+ALEPa^nH*&uS=?YR_?Jt6m|M++aTlkM_y1du1iZnxAf1D%JI1nUo4
z&=44E*X<VsL#t6)Y`Ppy%!#kRT&acUS$}G>?1a&@pY={ugFH-6ZGKVLrG-yN4-U~+
zh`^CK`FNG2B0jqQe0ESm8&B7Xi0|?hgEXgXaPu)G^hYfG7kyM4?|gVQBZMSi&Z9c)
zHKB|cb+M~zj5_eWTqJUMOcKM>wi(9Zs;F7HW2y2=2Tf<wRjs?E5vC<-?e$j;>`AX)
zxZl=A;hwbokzcYnG1MI4en|uQ4W;56*Y>@$y5e<rZh0I`4?FCuss)czK9hgAsdyLt
zoW)UB0qePDuQI;U#(`HG!(X;jL0P=8WVKBZ0-t}ea$D%)Kz6;su6jM_Gq#-Ba#0C#
zej26EJt$C~4qRGV>*q&1BX)LHDP!8?)u6@<1p=K~eu;vHDDWIzkXuqg$BC6SKc}K3
z@OId{Fe8kJa1v+K)R1ai<bA4#3K@mpwYfdUNENv}7U!f6_E+koW>Rb3n<aJLe$BJ|
z6|QWn@X}bzr>gzCRQ0e`%vJuDfH}(9RU`J=YoapFwN-M>V?Bts%n9Wd5KNe?i{R6O
z-u?Rfdo!sBPAT0!9BKszu5VJS#acLac~{i@TAe$ZesY&G0A1~7g}iJ3b5*^$`mi_!
zAq-0#iIqUf2`BGgF4|Ct+4S=_zYdOb3SBCUw1)l8cLC3#joHlp4`Ej|q4(|EohwW>
zFt#z9c{Zm7i9cZqqW`HualU72=BN!?C5FWBgs*w&&D92-KgzIIzP?MO*#;ZkDDUnT
zX(CuwJ;-ui0j6?d9E>csP%bv=;D4rprr-AEU955#bvR)iCt-`*#VIt73+mYa`ni1K
zehIXkY0GTkv&H#{_mfLjYPdMGaPgdpFkX1J*arQyLDH8)%5-fih~3)6ta*|TlP=e5
z+@IKBtW&jjtB*1cPs-JI6tY1tp^$53mkk_RCO!T%C}M=GLO&vb9!<?j?$6n5V1Iw#
zv0+;UsEf&YK470Gc6@%Q5q`%S1q?F5LGR?yWv9k_F?Nh#YYfiIFt&!9EWbcwybSt>
zN_Q^yv=NgA+M@I|fX!Ln!;udp5jh@xA>&FeZO1^*^Pk=TzuR`n-?L)4x$5WF)!ahU
zP4czi{Y0RbS7$bGp9mNyMqY)h_0VqnPHf|uu!1goNg=bK5JEExI~mLeXsz}taz_QM
z;OkQPU+@S&Br1fG>dp_*%sL8}wpdzX=9JcrEA70nQmW-|+CNO|xmi<)a0|rBylAVm
z<3bgGPiL6zFm3v5yyw2V<}iO8k*dzlj*l6y7~*Y)Xy#A0u@Ci`fh};9Gf0UAV#RtT
z+wKq0wyR4hUQjW^>XFDqm&=UcxH?ky`c@x}u{oa5T<hB}1v@H@oawQ2uX09uV-M}a
zB70i`%>)Mh+{csBR*A>f>91J}+iCXiCA>X^OxE_~hI``te~CEvCr^pQueA2}Z_77@
z8$%?)yDgq+fnc6@u$<W1Oq=(OwR8MzglefWtvfqriSDQkq5JpO&^lTEzMi2Nf&XP-
z)~xh2(ZBD<*{c<AX$<Gfq!hCap~S12^+<P;@Kj)4O7YF3g)%23<uR}Ej)B$wqU3J^
z7gjla((e#*=@0%o95w(|u$4h7;3pxY@-g2`<t;H7Rb4$YrjOS?`u>(OV?=1h&w_gk
z)kO14Bk90h`e^l_`%>jNLgaQ=ot?kcNKDk5pU>*n!{9%Y0^Zgk!r}XtzF^K)V!PGM
zkx+j<Fjih`n0h`)EVh;FRTzCI#`8;CUiMKj^QUDne{g`1Idt35cv}bIecA7E<ZdeB
zG_`r}ZyO-^PezkI);+|D*O%F2rYUf6yPWcfe}FjL_HMXsTOZNBSabR98mCe&DGHot
z7$63UUq@ub4-m}e{g+hvDHzC(-o&plKzzErxopFmA;NT}{I;8uE~5Q|ckrJXAmW;m
zlcqRFiEIHi-7SZ8P_tUVXv9BAxUH}V6dxTYK1o|`S^q#Aw4ffZ)lY*&3?1j$Dehkc
zXZY@~e0^F_@!ncqTsA};DmG+6@E@YYv6+@Erv*{=#Ptr%!^Dzt>)lsflf)%Wm7xb~
z`S>~W_r${zqeS=It%n*>(}dIA1?z3a8b}sk%(;<1M%?xm@5$7dC5~%LC#0{a<C^cc
zp$hAt#5Q?lV;7crB657N(#=C1IYN7XWGMY2JPrjt8R1+c?rz%?obpf&lEGV(jphCj
z!KYgPMc^;-Mv_$Y;!?wD&gJ$8u9L*pCez>RAFL3cC7Qg;_N#(OW!$lnJw@y&e+vT@
zI*f*PU2N!3fgH`sd5mL*=)SXky+{^4w)HAUzhAF{*G18)NqMsbbMQZ|25m+}Jd@G-
zu*L&Vuh4kEz<J`dC=;K~I1^4E+_@@iql}s3ube$R7m36o`-~l}ETH^U=+>%MLf0tk
zT;1Wn#82ifVtRrNn~&a$^mkXn#ibzidrd1uNsOv!iv=gP9nhO{98g5ufcxe<`gC}f
zo9()-nj7s|LTWcpDq`vBgR=Fx^eDHRJE!i*hY-((eO5|}a4t~UbA`$XrTPW4BTZ|0
zzR*m`qD29fb>%l0*6Q26xqv6=q#*WeV0ki>vgUha-L>c@7VNP!35?t<41Y4i{;QV)
zGWos+D-5w=>hZ007XG4WO7Oq6sHK3`<fw(C6i!snNIAw|6-R7(&hTAf1qd0MGCGuU
z<No;eOMjW9@UYZ_Rv@5&*#}&UHs*ZDd3E<0Q6vM)mZO_}RTbdSdMD4YoFA9+KQPo+
z%Rwqj&)}Vp0`{D-KYb%e5Jz@Tf7!Zrc8TBcFs?uWU7J3<7cvlr2dhe-F`E){3%*rp
z$SR`6Ww=>DOB5G8QZL_H^W`gSi=X8x6tPw6#>pBtaTJ@r7;djq#V%D*p66LgNK2&*
z{?3(zijUs*(f`!ZK)?Qva*;9yh~G0Qax!qId_2R>sD;${=iKKRRI!QsQ;~a!944!>
z5^bRa$HT<@)dDpH-6PWmTjinoOFw^)9R<H$B-wb}*Fb>3bImRvMa=DHXz~uFf~h#|
zRWO@2yoZk#{u@_<v(Oc*p9y-%pMTon)v61hyrt7I7uWiWop(|;MIVPnug%>~q$1ZX
zr=;CP4dU*nIlmk+z>t}b=eq!X%(;eaw(D0%&$kjCK_f#Xmz#%vjWmRgcqV^cf+pr>
zJyJisGz53Kh;sTfV-#b^?gEcCcEPs)(H}#+{r$jMLDmePDHSI4YjgjynagOd(GbDA
z9(%mYx4>cc(XiAaT})e)wy?Sy;=;?z5zQ20t<Q=$%r{c-Sz$5exW57DS;WL9+ko9K
zEVmrLLxD;Co!eEM`ndMuuAthgHRAee|9q{bfLN?|=if@jj^i7i?qgcxzVaLI02&2J
z_JI}-FLbaR6~yws(-xMC8K(}#Q$RcT=~k(W29l1glNFA)11&V${jVSe8kP>nBOWND
zl|6qSF=2<4!ukCBzt-|&M3PDtvpn2Ouk3P?wa52~vQ>dVZOHQ`?VC^#2T_x7Moh{c
z(_M~E@tK-y9$R4Yc$5$C?>M(!7_-CN;vqsJQyson1W)#^%{BW0h<jeK1AF=r!PtYU
z=<8V#ly({;x~hz6WwLg7-^BX;mX$KJRK(A*AM2*=vVU|fC(9P6>$n=)nH6#M{400H
zwguX${@Mdym~9clvo1BXO%5ZD=iZ2NGLp+7KcAHCvw^5)wzpQeG#;Od^b6-?BQsCu
z{!nbQhOLPG@$5ixSpC}c^-&Qgsh?kEpFmh6*DyjMB1;%-BT+d|HF?OlXQ|;lCBS6P
zg-gPG0#J`nDB=6aOGb2uyK*W6Im@jzn{IF;VSJr-<Q6`%IDGq@xE%q$o|o^|Jz&ML
z_^mnnF7lCYQm&bLyILV%owL3d3`p*~ANnwZk38Es*5bR<5`l?3vZvoH5!y8s>Lamy
zq^sw_qQEm2;Gk}Lo%LsuNJ!hW(BRESvaX*MJ6dXv#j|#Qd&C9^-He}<NL4<PqgB!L
z)-N+O6%KYdwS6S4r|7gjCwa+`o`>st^vv)u;^faK&2=<|Twhn2+q|Uo(H3|AI8$u3
zyEksb+ebT;o_YUd2rv0V-gRcnR};v0MCA+E|D+urIGz>Z!b@)0qHL;ZV1gOO0B#oA
z6wO0f$y3IImn8RbNxNhl!?CJ_RqoFm?H`?l-;R^K<k7tFMptHINRD!)J^r{vt2lS<
zCf8S9@^EBSNXHQ)%o^vedU~(Y*u^9FN^9|v?jDcMyj`0ct%A<GWo>li=K`^@$^<_0
zZIq>ERfHi5Dfw<$VGN|qP9>XLQ+(vy5$f-b83TOy7Gmr5hmmADLLXxl!%wPaM&G56
zGr$5*hyB!EX42%CeVMA50Qphm;|WWC1C*9V3M~z?kco_!75W+l$W0MVSw#i<_`x()
zlN7*4_Sg6AS<V$C8<&^4k2vUK>y`~nJA2v5HfmG|-vuF(VK8M&`<Nbb=tZ`T?BygC
z!+85DFAJ03r5DtdGxcz?qwBIcD>oT(lfJh4sR+r{;}ZYOQ4hLwg|^0}JmmYFx$6zT
zMad0aqAH6FdbnoPT=UMHkDOKGWlVJvCvQkLBK89nra$+-GtuBD(>`5aS3*jV9Rbxw
zeV3@<td2BOQ57K12mjdg)=P?HvFkY38AL^UpHvu=fgpMO^q!9*>@p;`g!LU;dnz(M
zgxTtQ2$9k4u{Sz?$dWu~x#O59R2Xkft@|A>Od9SzG!Z-~M_zC2E7w+~qDkQWi0elY
z(&GM|Ug4keB=f`u=5b9b+~qTq)#b!Uah5F-wRDPPLO!?F8G?$tBf0MsFN%{JDeKP$
zDJYQ=Zj9yryQrYj-#?hhFG-#_I54x`O_>xcjZ~Y-qQd6>h906&iaa>ia(~?!6>{>a
zUr%i>6+f1m9AEgzkf%R<$nblwO1@brDGVd@(D+xgK7dP({IiaQz3QJDY5w`0rpGfq
zFu7L9R?NzgEO#$S)66wUKH1#qZ&vy+KJe7@{*XK=Vd<8e8lg!RMyEsx_Upr~^I#x4
z70AD>UOi#yTBPCmCh}FT0o2+`U5&pflGFQH7UJ`?$yK-Hd$UIjamj}*{BE-nDcrkS
zq<mS2^xAc|&OFozI!8GTd1{r(xRVj>^WM5-&6z#r(vimaav~&t$14@`QD%$2$Cxf@
zrJ$EBmtq1N&+mS0H&scEqdup4<S1lGjG@wvH>L<*oibhBuSP1aex-V7P{@P*dhZ|4
znL%;viPM6vI%(faj7@V>NZF&6fet1XU>RE!xc+7BzT~>*`!rp0dzO2JWsD_+BIz!?
z_0%AHHe5LpP^Lr9zC2R<?1>dB3|6~}pJ<T(0{{U3{|r}mG}jLlMfS?xWb^%6Uwij`
zMyaGIqoGnM$w&$5SI7>bp=_BILXwDlo{TgIg-B)+B6}r%{(a}2^WM4lop<j|jNRto
z8?A!%k2wd<cT+)rgQM}*2pJ>CkAL^&Q^viA4XflX1BlZGw}elUaj#Lneb`YlzSJxD
z<2L~yFiq(4HEs59E8?g1P{c$9U+IMXCZHR8X;j*WjGdnbyIwiSW6|X+mip-?u-CI^
zo5Ugs-@E3%9aECUdoirh0-Yuh^6l45pA`vxB=+RdtxDn4`i9cLq6xeSnv}m0q=<!;
zFO4bL+psi<W7LS&6bxN#K1$zJz)ve%%{~Q*;&I=D%h{X#fnJV_3DNSHRJ1qQAzKiK
zYPC|7x=o-#Yi=KhmmF@H^4bz8%7>gA69d)-Ca^{dy!T<JEKbYK4~x%p;VAb~5MD5W
zOWq>Mz5Fs5`sny`xijoIaQJzuJjnzedb-N=4oM*+ZCo*3F%x#Zc_P8m1F)Pl`tW0^
zBt9=n7z`!0VBbG$rlL@Qkd{x;e|fjz`9xXEw^1~xf4YE|LkU3Crn`sks~Gadi&&nd
zTO*Fn9PUj>qk=&7u98D9MX=;(-yB7HnTXsM%jGw;9Y);Fe4~~N;q&9i2m|W{!d@W2
zsa<|Ml!x=Vm30Xq?eD|J2hPnA2OW1u7`Yq6<Sh;UyW;%VGefqp*)>a~-8U@ge{KZl
zdcxN0B6+dRC+`MB+YC{)&aypz-4Kce>l@Ap^PpJPd(9U=XNZu{?v4Jvh7j4qpSIY-
zg~70fwijoKrSdQ5R5J{~54hRpt+!%WiNmfC$IZD;D%A1?eW)<xMXlW&m@h@cfAYaR
zAsn#mooKBOTCYNBVnW!kx$(iReSC{VtI6HlKZ^B0$D1Z1ZjA-Iea}5fZ(1Va_X~?<
z@an<0@~Y<Y5@r<Ux9K)7Tp?^*a987hx{&-+YT>_BCRB-i+Zj^%mw2yQao+Bi4rICB
ztM{p9#Pg6o`0)2X;x#$soW)@s*qxaD%#DK)zjmtBw@A@obGTVxVv9C}O+|D%$1tD-
z>z;_U<Fx3Jvm9-)OB<s1w3L?WFkoKp>JOtLI{YzR#puwe1p}!@*Oyrs@Vw)Kd>|J+
zHn{Y)HSf{_+tKgkYV-`aaO=_>If4N_Eb<p$e$s>_&HnrOG7LB$ce-;c9}|8)vG=sX
zQB4RKe9^+^!hrVj%Xto!%qWxkp+ajy1FVg5IlY@1@QS>w)qno1`0;It7EO=_<Q%x3
zDrL`zDXh&-`VQ<Un*Nq371n^&+_U=aG)!2T^@AtYjuUSdPmlsD)Zv}@gTR~3Ot^c5
zez?Ps3*};ZlCmAuL8;(=b4oQczIM0o@^|7!rr@2rZj9>SYT8}<q=f}FgO3mRCi7tW
z$8<hQIR(UM&+4SovtdNlqnL~dUW~UMcRc1!f%qZc#EcW{=$l})+G59#-Ojd67fBR2
zDf#u3#2^P=5~t%B>=D5Dk2i|wd(|Mrz54vCsI4eIv5Wfnnh<tNen`LSqXvS{Q};+0
zb0H1sjLm?N2)bQ()88Yh1~<J5b-RnWah$b*MqFGBqgGPlR{K?9x8<iBkqtbE<)_-8
zOGu!BT&u`JnJUz{S@9ao^WsgP{F(hyl32F79;}h23ZBkPPo@p|@ps=zn__b*G&@_K
z<DRby_FZ%#$!P+Z`E*0&l)p6g)V#<lZB+$Q>R=;{h!FOBzG)t=k->=hYgVp8YOqq{
z@~`xnFm`HZoRi{{Lo-v=^_^jA&_9kMQ_iB8xpP^>-cKGMaOe2ta8Tgti3ceGn&LRz
z))q1}qJVc;BRcnApg_@ae*ZMFZFu_XqO+7E315yp9D6%PfoJS>Y|e3#cvU~W+OUI+
z^?{r$(t+x*Xxy~$E=3BnFIQX9SSsV7TzA7xbq!!Xda0avCXJU9J|3%op@QAxm$o(0
zYQmYJCy|3KGPr*w`GOt08eX<nuzxzUS?~Oy&pR!PUyJXx(n(XW)4^9?n^qfcW^60E
zz%7pjk>B2UKBnON!yI^9O$S0Hr4~R{0jB~p*fx07@$lOZJF~9p!le=+F$NPw6qWOG
z5<jYrdLPK|%lh;ntG}Hk)Qp6(SB~}gURB3-k1mtL_69J!I>oW7N=6|`j;Dcc>gZW>
zQOvf-5OQXsDTmj{$mh41#z<DjFGh@s)hCUCn|U$uVU7~M<{qhe`<#N64qf}LH~-$P
z`<XR6q?FO|Pg%e(W(x8Pxhn)J0;I=~xE{GHBahy1YSbZBRQo|cVciDMP-&=fEm#@1
zujTeF>{Q0b*RuQE&zb<|?OiL{PRck<>zZOQNkTdSleG)OCNOm%v=|tak?wiKSkwsx
zl-a-AUUG*iBwat@DdDYz&zzmc*~(<mO39|_$xTz3$u;V?eM-iexzyP(T4}t}@$p7!
zi7A9XYjdMilF%ftGx60c34HzYP}7boQ;0cYrgkPx5r1%vk#>~{qtNz5iIf6U*sxG?
zPCluCO}S@Fl{xtF5LvOYA=DH!&iA~T;*dv$yP46(JzQA&<SE_JJ*IH(W+OEuUlymh
zIInu_XT_3pzXHW*Orf6pY@`5H2Ic>S4~x!k!G~2FFH4@7Kn4#@_{(-Fym<Cgjfn9-
zBGhj&%X5zjl!-M8-gcA3@lrEcn&5e2CFM}Q@dyAumVK2XE`fLY^nNmlO%ScuVv8cK
z0hnru9FV#pikA&meR`Y*2pN$nIei|09KCXtRVHB+?KO>@{nAQA{^wSju%8NKtXaKZ
zE`ajvdAD?<$_eeq0|r^ww!_P0_4c=Md{}am<!W$t61D6nPoT(CWB7ckigx8556-?j
z`um$*Io0PyUGl#{BhddtQo7j4g`5mOow;9EQPs~2C;b#Pf;_c}YGDgb9KP;)=+nCj
zDosxH9)+WZaQ@A8-*G!O^x3dnJ(E{NZT6rQ=-bq(Q6cT{hcB2nafz1`5_YG0b5$=f
zj_bocg&oCTPBNlZ%2ZqWzGp;0PREW&eSP2z+};1ojvlY=8_*Avs3R1U<;D$T^<b8P
z=unBFLwmk>;{Kf$V)<Cur-e~n7^+<Z9U5B9I>=O$?$|*Tq?42)cj|(x*xKbshc}3_
z>LYO%i@p(hnl_q^PjtZjV5wT9$Uh?Zl1KVMfkA@v+h|1?w+_6p)t?nH_)GkKaW+Ne
z><^;Tx?m&Yx;7Y$4b=;jtPr;o4{q$MA0>jGWD3ttY60U}E8(fj%f!V$KYu-=Ob}m>
z&M!Hh(gKZ#nLoR3ED^P7^lz-6P7yf~VYUrDnxLhcOaHlbk+69F`pXZA8KU}&M+~on
zCj7CyWtQu>NYvG?Sw_vx65WMf|7mt<z|)xf0bP=dMEEXFn%u5=;<0@FDZZl`pz3W>
zR4lwm=q*_dR<$e=f7WXT9}lSm?a8T+B=bdrZWo_nZSOL1cPWd0)I%N2rFFEY(-sLi
zi?RpIjDLxKdJp%eH42C?Tdp0HTOz)uWpbPB|3^q9vESJfM*)?Fy#+hEmxvOH6Sm&3
zHwcE$=M*l;Q6O-pFJoWjG9k!qZbPd?i(l>7H2ee9U?;om&gg~};<UBD^r5&-et5E6
zu2-tUBl#bD^43=gNl}Ayt(^3zq#!!Vxuybib(Ak(&a4rmOt%j|D`dbqkB;>dJ5?av
zJ%jkX_K!IK<m;=e?o8-uqWtoCqB1BdRd<dwY!Eg(v?G7nu;7<>Uy7aPl;C`Gg~!++
z4d$grSuHxT;pnMbQD5wpz}9aleQu2wFB&qu9!%rFck|3E59-Je7<x}^ReKATwH*4F
zz{rJ1c4vkkG$4a>zb1`h96gR&X83(P%#DTjuj+MFksxq@p>~{=5g+DE4)TBC!OI5*
zw+Zeh!AQPF!b|}Zn&&&e*m{f)m9Md`?i^MGZ;>~@m3&w*^I^&lcOC(ZW*nYxiB^Pq
zX_e4MS2j$JywEc-DTo7kg^y2|E5e`?gNytv4z$&}h8DBJDBv7s@t0E()~)w)3=VBY
z!DZH58EG;6R1rNvJEZ_YvvOvKbh**>8~NR2pad@XE;Vfbp#a`@KU35<eZzN#hOpjn
zN$j5Kd$};L0GAGQeed7&+06GCSi^owp-fl*&1o4$(BbK&>eTS#Unk|ydrrt;#q?Nk
zl#e1*&7E!i9xRBq)<zYJn|igYULmMrN)dLxwiq;U6GoHt0^gWqc~oUr8)8i$L9FC(
zyTuhzRO7Qa#ePH)l}A40<a&}pvA=NWY`!@Dy3liitV~AJ%IZ&~U?r%v&TP0xBZ*&}
z*o*(NDP!w>HN&V*Whf3_4GA}vLbiC?Lm9Iw7;!N<wf>SSa9j?yz8@uxG?Aar{pwW1
z%vX^`RjL#?us593cSHtHdkeNiby9HAZt0c$K6OYQWJ>(BM-IJ&-{l;9u8uaGjSA^W
z8jvrnOfOn4kIg>A(^~!-XcGGT$$M@s*y-yQa9v6f4|hzYx=3iE7=4oJe=oFQq0hgd
zB8-H0clq8sl&FacXNQ}GZs@|c*nBaq9x^^Nk|B2WYGQY1Qytk;A8!4A^pMQ2j6dfT
zlT`*ZQNOF@KSpmu*gNOrw?$b6xqTQW8dEeeu~2N=$6#YH_%ExihgTK9-n@L_Ba0?p
zakRVFe2WSp@5)YTzfr}dq_<`CBn@;H;d!7}3&8Qkfu&7F4K?4|4zvEFAd#B<!~Bs6
zL_IuEcXhuS3ii+R2#Bj8or6VhpqDA69E^4PAgzWhPo(G`bts{n99LOAzZq=5ey6k`
zPZddDe|eqRp@;$AEqUB`%;4Ia_<@M;Droku%B1ABEM^&&Jy;(ygHSg!X@zEGyx!#U
zZ>(Pu4}ant>S8vBGe5Qes01jXeQnI0nQReED(5$FWHg6U{0)64{*sWxRlSYG#D}|8
zyw0i*m_dc)mtMkJ5nC|s-l8-+@;%zir=DsClggIt#ZmH@e8I#j=mjml_1#|k49p;c
zBf?+qg)BNV=VlBP&k&~%4~_i#Yzn$kv-<?TNu#Y|DTAg_6S1u!+S~7_DUfa(eP(2o
zLP?L5_pbs5sTSPB8gjiRz$-Rs_4Gdp9B;5D3MXf%d^?V8Z9HrOK9t4Br@2LuGq#Vh
z_UkhB_~%X%wF_YF+u>>RPC<P7o{#=%_djZ-Dh>6aJ%CBj=TXmAK78Y`w<$222H=IK
zcWfyY`jVpSJht#)c~0y7Qx&ujl(aR29k;{PIJe=0gPgeg&fRIH{d7?Oj>$W&(-^iu
zd)H$%R-7)rmQx!}2ju*<wnK|Xz%wW}n=r+I5569`ZQ)M`QB|ckcW*NSqoJm#K_NQa
z{VA5m-G~lMgg8W)Yz!fdyVQSl^Ir!{WYK>cqy;yV$7I211F-x2!!%EEiHNGBETA7P
z^i1_c&VJN~v3;pbJcTpFceffoYnIJD&lTL^7SM+(Lh^ad-7%uqDeu_!3>sLR^QoIV
zqX(D1-dryq9w6vUU!2zi8mOSRYLThdh1I_uvK%(;M5W!7O6<@El}T^dSzkyO+>JS3
zt!yhLyrrD<_PcLTzYk0Ycl+x=(OOG~mL@^vcy%jVMP`Gl9z*SUF`x~OUDs)9hT5rb
zKDAp*v29SdCCz?_-m4A%I)4(pCVHu1!Io!O6*j1?6~4MMueCt<aekd6>oC<qzm3G=
zzd^mSh1beTLkm38-+P`mAEnkD7a*UerGa_1;K1PmO;9{tlCPvYLDf&Y$<=j=1`@yd
zW;c>FfqmDBgF*9CR6V8LTJeK4@Uv*jtgk==W(&qgPVAhawlv*%Zy7)f#ZUiJ5z^3r
zTcIy6hA_=hFPBtv|Inv{7!F;^xoUNAc{&?fR6kG63K?WQ#=iwvEXjgRd(<Jg$KTc~
zbdg%0AX_`dO%Do3MZV~Mr$Da7&NC}}m#HdeLX$bv8Gx_mZ2xO-3bgIvt)R%RQk?>Y
zw_d!=2prJ!(S?%&m2gj>Y3myG(erXv;XWn^7;#p+e?$#9<13Hs=U=Cu_xG1N;Kc&E
z&utE}XR5*-^MYM6;xypQ!;@2?!UmxhrRE{iDzH!VpNF6+Em&~n1RDr*!2PrBA5QO9
zfqn|h%HC^qz$(}OK~QHa3=YIBsuwDQ>`)F{YReY5yKD62bR8F5yw4JGTUZ&UE$HND
z4H@7~MD&0G3lFFn#*i%UC_!%ur-s8@MxczYtgX58LT^r5_yIvB7_ZT@nDJ(Y<0sii
zTxR&7JNN94<|kyhtwr0(xPuksOW(D>NfZF#yhj|OmSnh)_N`^zm>uYAgM^&U2tmzw
zcU<2Z2|my2Yac(w2{c7?$8Q}L0b#nrD5hExd{KC)F?fUvc2pQi2Kb4=--lj>-;+pS
zWx^6ak;V;<)5R02wGyBsmCeE)MFOo!x>T7p9;iR3SGO%y5?(QW%rCr0g6D5{8yxiG
z13pbA+QBI);7vMn_TXz0H2oJHMB)~JTd_lC>xX0@=D+b)0cJ9|Nc=IB{~!pOYI(gJ
zJ+ja(wIe9OpA4x6pcR-W43&4re~)>|Lv%->@`8X81PHw1UC$PU%*@ZDexi!dXYk4C
z>xdF~nb%Ku)QJPtrSXtUCkf6U?zpn^w=&Gg4EMjJlLSStmE5sZB?$Zay(WmF3g&*Y
z_4hTU!0`C5gtO;VKw}SGWle<|++Wa6<?)sV-%<^8Es7d^yIS0Irhx*6UvgfL*T{h4
zc75NX%M>sOw0TZ+r~?TO#{cG(+YD}xGQdn7EHv6ynYU`fWUjtWtA{)+zq8|C_^S?O
zqieTwE^0w{>uC@1w+g^RJ~r_uK?8dF-!oaPX@i&7=ZI~>Bw$qUdGM4;6ZUQ0qaIkG
z3&}K`{?kXvaDaaHQM`pFyo#T&-si6m3S9Sivcr|YRC<w;yH^u_s$LZubu<L7_3Y6*
zahrD+n^+#VxyQLDt71iajA7F=pY3&50nPNE{BhA5!0sXc`>qxhwi|8tSm9Fz<6je#
z=LvNvU(Ppk3j=U%Xi4@BRE07-uXTwc3Vh<~O}um51dI~}Dxc=6!te3K4RVbtNdMWA
zMK56r_ovo}+(J~rz4t;xc9jxDN2UBwdu<8}gtob>pek6C`|t8xQUtCrk$pD0W)Qv-
z=5zhD3Mkh)-HWA@gMRAO(!rZ%;QE1HG2C4lm}gg_OJk*g>Ch~>qRb4!h8@ptF;IeY
z52^;l+{EC5cIw>sN;61OiNEgOL4q<iDu;`-0O&a$2$D)OgNxXx`E0i$_>yz&4xi@&
zh3xww!Kcl@-z+q6CQ}~9U9+zYzGQ@loRL2FcsA$KKPufbCJSGuR_bKf)~J0WVWKm|
zrqJSGIkJT;1HpZFCX<%OsrP^Gj{5+nU}m{*M8iW0T1z8scXPa=N{Cl*=f5)nE29;^
z^~>8pF|+cJFH=7edV1`Z`92e9Se{N6poqbyG=AASHc9-r@-if7GuL0(E6%gTCk)^>
z%h<7Fp6E0**>=MYV2GL<Dn}Lo!^|fgI`qqg++^#yu$NSL6BXT8?#&C~8llgs{8tH*
zXu68e`|a@c@ymZt=eR&7=JxunvA@K%gcpOqe;C7iwte3#Y&kZ0)LpHLT_fawJNS4p
z8H2RhsrqXwEa2#KaOGFZ8X-`vxgnxq1n0}{My7Z$fO^gP#|MUMME<XZ6LrppP_-60
zcyB8mWOVY%wZ{J?^f?`>1vhi3)K9vBZ^G-;sN16=voBYPBRBa;&j$22@3_N`^m>{4
z&8aXp>Fo-!|23IUilh&ZpWE;sU!9{Wk<w%W+Lj47a@oj=pB{9aq}ZJd`$Nr1uY6)Y
zyhIEezLEO!Q5W_X$(}OW`ipw8QPRMOX^Ci!_Y|~I(1pX!8TyBP2dVu3`a9@%EE2;u
zmnTIdbYQ4=<n0OQqGC;5=(el{;+d%4qp=BXxWLE2bNSOdYJ$>t4Oi&};_9nyx3Ab~
z!(N})nM>JEsdH{A8o^ET1hpf`DXvZn4*X<KT-;hp_^Qyw%if<Swm&|mzoxAPMls}P
zMB7_pQk~J$EoPqBuSc!CTc`<p-|O}KN^2)p`{nO&6wVWrQVU^<f+p}Ci1=1m_m$|O
zzbtxdVV<C?sPQVv)qur1Ns%vpeFX2PMvddH3q(*;h3K+^27GjL3VJp^NSHL0>}O=&
z%(YI6JExwi16zC~XUNqbgkJZ%|Fqi|2{=2IbX`{+8YdiUix+<qckIu%^fWCI?oHhs
z_v$I2Z*^qqiR&0)DebAMJ-JM1HQ)U#ZAXFSk0F1_-zNwm{fg~_uu9a2j5ipytAX=9
z={1KVQ-t@oR;`hSzl6Fwi}^nqHCSHh_L;prO&qZOu2U88k8o^DJQ$#(3KKUvbVT3J
z5Z5ERYmRts5Qgu94iJ}A;KYm|b1h|#2wCcVCi#&D`(p*$nqDYFrT?F}#Z6oub4BJE
z)6k*7uatqO8%of(*2LXmx=0BBo2u@x+kyw#)Sln6R)Xet8!=IfOT=~it#da&(c{Gv
zPm>ZJli}guR|}VqD}-0A#p``uj3|)&+H=dMj#%6vHIFy_CFsjvG+r=dM)l#$8;Tc5
zkaC{kXzTPpqTtd&i@RE^*x&d@z@twQn0rqjxg|@30~-CA)hF0djVJJdt^H<R`_7aW
z=SGXGp*G!CwVYVE=oA~=r2zDLKNxql(&6~=t(jYjxlqDQDIQNLK)=Dx>u>Dnahkkt
z6)et!$2>o2F|5c#NwtfW$p!<a(?}YBE8<1jnF#Z1De@pS=MqD0Wy0fLZDtc^__1?_
z&M4ke9)5Lw`grjp3tn6|KbgNn5Z!B6%@<hZp;MR~RlmfBB{7&KZX=ANrnk#pe3OHE
zxa;R&&xwuhj18vIqS$ntU<H%|2W`du2EJT)PSNqn+@d&cSG&90w@MDSHVZ65KR3Gf
zUC23MDT(VrQ6@F5azMGKQRQ=v7f<&kmK-UU!hOx0B0Ti+P+RM-K*z_ALw4K0av95D
zl%~qS)+6%3^6g5|<gfs`ELjvJ^~<8^9a&w*uksL{Df5t~M+lepOa$&slSiW`jYt26
zC_vj8xqoR(BFH-v5_jyfBJ!3{0`i>|;j_=%pgYFms1!C8`t~FlNotzRmu`^Y+82kD
zT?N~4>s-EbiIXzUnohJT4Ur*S>DRApNh$O$zpJzDyebygs#X4sRR+PR;L@Dy(pW}4
z(!Rrhg2nU63RmJ(!O}G{w`^Pn%>okX34L|ceD{~p(}x0_H_{XRo#oK==vZ)`k_N^;
zcx<WqSsng3IO^{BDUUoZ(}6b`HSy_cqcxn;gr%440b{O;xJ$*0A%M`tcA;I@N2Ijj
z&Xxq9^idM>hMNaR?9oCF?INpEPF+Y4J@JO#UJ1{C7r9`OqJ^9%wx67q(ub_}I{`NN
z%DDRTL-<Cn7P5OP-%#7k9c4UU4U4|2U{LVb^ByNH9MB8-t{Q6$bJlik?O#+eL8SnW
zHfZ9s)$rw=Z>iv`H|fxEM-6Y#w-1)JX`rU8E3@`IKtj7QiHn|sLLRI)n{KM(IxG37
z)07G5H0$%~3sBI)(s1X@lp1m$cUQ1)GKHGD*w4hO8oKO>wcKN?jKv*7@Y~-E*7$Gx
ze7>lL@6yL!C7)MB_GG_=h<|1fBN5jgaZeSe{-~)5ACtwoQ}c0o*5<G_d!pm6s|p@l
z);O4JFNwTS3R$b(=8)m87dy48gyeFw5$V4|sN_<9i^I(v%5JA7kJ^$k%i#8Fnn7;#
z3bwcwYiJJH-$Nut!xS;A{(asY4-+c9SLgTsZ3dTGYGYlK<S`O8#ZFR|iIQlgP?0b*
zkSjTJlQ%;a#cs5Hzq`;$ScQAOOJFwx@wDkOjx1?h@bhPu${3=GALXD^ylD!#kCHy$
zDU?J`vXO9>{sQ#{YoHM=jVTNjibxII633V~JJ>HCU8iR6trb@CF@a|uW|_2qgmI*j
zJ4*W&9o)VzBAhg_iSv${l%y~L>|AkBO`W2Lw&o{)tj++~cj=k=Iq)LK8~O_w!HiH{
zYZ1Y_$(R0y+(@nq7w&#$!g1P%3GzG6UYcp%4zAM*&AlFMsPNQ?KW>r<QteATD*KIL
z`2ZVFUL+&#aLK9`WM>BV+bS$hYery8M<cZ^LWfx$uTEb1%>*8K^U*;vM$of=VItLN
zjY$2VvxSn&1m)H?A3|+6ec)~d4p;sK!ZXa-&T$tLq&OWBsf{&&UujpLa~+=~o-5L!
z;}1so!S?S{c$+@F-jaB#a%zxB`{R{)A(Rp38k1hDiRlB*Fqf|kv=Ga@vjL{+j3A^U
zk|gV?2Lng<jCv&GQKkNc4qcpKfVqg`#r{TJ@U4@u4Oah5P4AdgSboO<vF6Kcf8=zb
zO8(nxuB8ELeEYkR=o$tv6?T%EiPC}Nr%fK8%O0if-n;YApEd@#a6;(7rU!@rqBwiL
zznY{btlbXKU}OaQClQS4XS5-hSxQ>3aE97_AmH(sBO^Rc@bm2G(Sp_;f6Jox%v0H4
zE{h)NVub$z0096043~F2)o&EX?M?Qqtb2{?;$GKY-(#eqBxOV*gi`%P%1R-tWhbi;
zQbtNB(S4AS6d9F_WXs;0pMTFk&pGFLozLg<c9o;W3tFl|6u~!Yx^@{8I_q%q$#rI^
zJy0QVpo0P%qBkdKq}Q;PmOXN{IxL|3`hC#}8w!l68*nCE-N4G8ig5msWd+8|Kb_V7
zs(`8ctZVhVEo?nV<v3244cLNSg)UrC0eo$SPcRJ)h~R1^XZ+X!ybszZ)2hH#^6FE(
zJS|*|#S63!aDd%^+i&%g$#6%`AfL;Y4h9yy-Qs<@VA+Bzl1ZHm>TjH`et$#{K<oS=
zYd<%L=1uLF_(g((>b;r$0}SvyN>ejMga`I0(s?%CB7w;V53NTAOmOaRd*TfxUf5}1
z>NHg(fh1pGk4_mgY>2$So^h5B#FB-H+%?J&Q~9Hg$Cwp1A4az%<nsg9r$@=X>dG*p
zW+8KGnhjcOhX%$31tIZMkP&x<61*N)Nzs4D0ewPh*}7Rmu&^(xcH*cK=oiP?a^`Ts
z1B?D4<>Mj{m1@*HHLD0}5A?dW?6{$8{zABgxEN4!Z-jI{R|MNIj#zPj9=M5@{<MdG
zA4re6Ddu}CLS25D&aEO|2z^?4GhRs?9u-{p*I=axn-iYfnd^KI^j|2hqg(=<??(*u
zoKyt)S9!k|9R%R&v5cGb6Oy3z3}>`<SrM8W1a+u?1R>%fopQg5Gz7%U{d<t72z{C3
zhj;>nAvHE*&G9}C7!}k`TxM1RCX-gXLKRU6mFtKeT*gC~v1U`<LnTmPD*Zdbv=_WD
zU%Ia1DGS0gYDs)X%8+bmfF-Z&gJm+>5?Ydjzp=ejq5LE`S2$fULMs7n@3WN@f(hWR
zIB=sliv;}bIx~IzlHe%r%b3nZglzg&l8qS|M7ix)4^X6_$n4Nz_D70PGW7d#n1~7t
z8CZ(b+et&kCu+7MmojJ@^i8xfQlKIE{UM_$97NV8@Vcs#;5G+&Se#!Kf|%2v+f?8|
zy|G&TN*f8d9#$;c8moZ-$tv*GxD1Gd&#a$6MFu)~6KrpyI;`D%`lpdc4yr=x4H-+x
zkf-6G;7G3t3l1eF2Z{2a=Q&l)I7NmpCk2)a?`lCwcGDMb6#~Rk*N5|$$k4gTy3{45
z0}6Bs+jqqjU`>xr_TpzU<m!wSYJSp%cHcAJbNvbsUq7N6?Lr3Gp7UL=ob{pVK!VRF
ze<F<BW)B~&BY_J^_KMjO2Cfs5E{6t)uxw@R;nAlIZlOp1nU?_+kI~1n@+v~Ab+Or(
zCPk3?6yw}>)&Ld--1|>4DFTh|*t=#&1vr~Dd;8C{0USS6cRits2t@ChvLmH(;QeYN
z+uF$xO84>-LNtj`FgAVHs~-;|j~vp{$_#-7b)vHV3Sc;McI@qj6pa3GU8?+N2&^}r
z6g`h1K-8Uzj2v+ZXzb5syR>5n1MlXsK{t5--Le(UPoi+VLYJ|5*$`eeoKRhol7qCo
zOE!fs1mIc6;tjzLLohvD_g`MM3<ULFHNDEp0~#xvZ&gzb;hrwmGj$XX|M<QwydPnO
z%nxYI#@rAVzip;Ef0c&U$5}bGd+6Z&#`(US6$3b#@vU^}h!n(dbdIMEtYN3(md7R%
z44_f(#$sx-1dL@n`EinFF-5D*2e%XqpjY%pxqI<`2xsgm<rweBbXQs9@gD)Ew}0-N
z8WMv~5vKVJt+klO7cVWI;{aAKqQ5Qai9m;0oxuKdDs}i}iF+><gWFm4B2SSZ5G`!=
z-NHJk(-P-zjSuRB*Vbw((UTwYK|igmwTEinxokDht`ByB|1yr5@xqU7nwkHa`l-g>
z<r~?w^uSjDg*)%+zy%?d_nx(Xsr~0=4zzjb!qULy{=15t5bf5u@Fnvv)ymNPbwaid
zsH%TR-`rw_gbQ1=^m+Z%%N^NLE`!=IJ(zrw8OIFQCr_um7ww}upsg07oHj%l@G^f+
zVSp@W1Ge_9F6w)Roc>xbEl`(x-P?bL4syM$aW)2>)cQbdXRbyQn#QmvMJ_Z@bn3?8
zq<yW_Dav4izpy4yu#d~Er?)V^pO;q0{p+Y-B!vPcyfvUFEH5j=ejUp_uwbE1S4!o(
z6xE&AwtGjV$N1fvSFmCthmiO?PwevLn$jM1bs+Pb#%ZN4VfKo`!Xj&B*bTqpl&Gg_
z&}+(Fk&70v)n7H(GmCnRD*X3LFozl(XbMZCQJu%$Y}crj+-}9H=xjLCZmI$ci-7C-
zsaedTyT4nwt`qxDoyW9fo&raoQuc*@nZeeh1Xirpe`6H02E|+t3Jg5V_DfNm##R}4
z8}0e}vDUh_S5{*x5chB=h+}yY!>5`I8NL|6=mRAxU%2nqcYgaH7n{V)Pk%l0(P$XE
z7nRc!K1qfgS`wQ<;sjQEfskT8Hi|JRG_L>jCPSM?gFBD?1h(9RCv2qs!?Hj7sYGp)
zz^;fKqjY%!b24swspLL|J+<p9kGxNUmg;R<QuPEjm>civC^w58)*1X(zi+p0YxlR-
zauS=(O^;qIn!~Qlgun1`Q3k7%`t9j*Q<y+Rc6Fxd0=A~-Seg*81ka*eSKTzHv4?9k
zZ$0RiF!CRpoaIJENNm}wS$1azTdVngEB5Cy#`*f}lRFHGKzL)Zy%j!-(Qs1#CA6$!
zNuIBZG)#z)ll4rq=HeVCXlJ|MXl5OIyJnWX=b-|$1ej-)U75#%T}|RY>TF>hgEYeY
zJp{1ts9!jduz+!2rQeFG*umPJQ%fyL1URn6oaWWLh}mS5=$bTXfyt8CJabnbRt}X>
z9gZ$z%k&0cGfU`TXXpflZBh<A6F1Di46b0-`pg!FCm6tiT$R{;QVyC&IS8G(YuE=S
z70ZhPOmO5nmuf+cEQm#!bM8srz&N`y<763F03E7U@6wco{+L*o;E!9_A2D^89!WN!
zzft|-SD6fmCk`L@#YqEuJQc!>y*c1jx-01G$pEi9j{M!07Q7G7y7_K#LBZ8;4Asqe
zm^UyVm}{hipF$<%l>zSEe+m~dbj8C1|MGVxb_^f_0%vtE@IrcQMtKJt9wyo&eoF85
zw}rcw{*<2|^!_VPX!wAGfX{bF@$1ZBYFK;Z^q2rNDYyQ9<&Oi$(-9;x7aPRbcE0^E
zDg;mK#5#Qr<6yA$h2a&;-Tc6wIU^+~3Nwu<=bZ^SSY-H3FzVof7>|qMz1R0bamkjB
zsss+=kK$*aHE=`x1p5>Vr#SrC8BLN^!a<R)`2LgwyztoP$n%mZ35fpQBgAKegZ%Ga
zubf8sfaluQGcGSF7<#CX=aYql1F>rhrUe3UXus(gi5~}kdt(`+c=2Gf?!4faECdlk
zk%O!qc$hi2;&!|U4*|Dzuh+g3fsgx)7*dL5!RhU<s^mZ!_<i*c;m)iW3`UBb&Uh{l
zImq%HZI~>a_{=qT?#zA=^)_<TELDIvIs-1>TI67UKI(h0p9I{m>iKt}T@h3RUOuZn
zPXOP{Lj5ycl3-Y%n)zx?8L*Bxns>*EK-<)Fp5>@C5HA=MVq9d98ZI>#d!z*M+(Tid
z-*8}|X>Q~tr~<^bDI$BuZr&59(bcz?0h7+VUeX*CNSEfXHk4NZ(y(d7?3^roi{1YV
z8=}DVcOP$_9Hl_rW?Q&Zm^|q0BhRYDsRF@5*v0IZ8Vq*Y$vJW<0MmKRKY=W2kV+r<
zaB*1!ddFSXc7lm8`{!nDj+PoYF}$AQ)7A!_Nyi&gyYq01`h0vKq6UGjHr2`rx`3OS
z_gz?4f*HLUb=s$@pzy+eGj~BBTBT0@XzW!6ym8(gyE+P#C+?T4&IGtBDl5;XPXgJP
z(U#E%Dp2&^C@8SZ0E!RS#MC>Jpr~K9C7Wh<5AzE2jRl4vB`4n+afSrc-xr@@HcFs+
zf1tg_-w1w&?mYP*LxOpo0spu|1Q?or=*uQz48|LNDSY9|aI)Hxu9-##7TG<`?u8nI
zX6)^rr|wEX^O)$pQ!EK42k5Qa-W$W&0|p9}+e8Sc+>?5iT?~3MSytLU8pEbdf(4zW
z0ua4yw_OhM!LRg<EcM66aN(3CzTZzCq95=Fjy+<5Qyez-uE&glZ~JV4Tc9jV@89HH
z?^(t8(#nm(M~onJrgA{v0}tHCvbQ2!zheXJN0Q<^jG(^!PD9g4X<&%A{hQM_MvYbE
z%%~VNg#0<vOPL0eaLcCRVjfzfR--vRT1!L7xnkBB9Jn7IFjXG&-=ak_UlXjwJ{iF9
z$*|s?Oi^eN9T6+2XGBi|E4Ttx4M0w2$<|_95ZHOc7{;%$pmQpg6M=aE9R(^p&X4&Z
zWg=%ML!S+)r*;*@Ndgd@#9_^w8|vbu!ptn$Q6?kXHD&`0f+&9Gi8yw6aq>XA=@2`j
z`A=+9#Z(^(Z36STh8ba`vhr&vHwS8uJi!ouP7gAQ2*-+Xw2*Y|_2W0I?1**Acj0BI
zE{K~nmXO}BVa-48o|!9UM<2)AYU_%1;2?YUy%v^v?4Re4)(dCYk>P>;3_@etaKFVB
zXKgxysch?n^K7!A#t-L`TX%gQzajr--&{LpF8iMEY$hApVcHTR?fSl)QKenpKn7Kp
z`MK@5B^#Out&|9_)dc5Sg68Evoz&)?GGjVPHgvsT|Fza$O=upp9xVDkNR1g9JuT0|
zh7?m6|1<_@z*A$9KVv^9sJ<r4%Km%UQ29<6XX9UW81IvH7l@mq+HZ~p(QC6IC;rtl
z{m0Z{V@rUIeqxb2G5lzH&s{cDz4M~=D^(53YrBQq7+0xQzx|5O(XykLXCB|Q*Vw%~
zQNDz>>2>P4Ox|{<Om@^V@_NqWtt!~qc|ZD6vPI1%@iQLv;6O~|)6;|MsvuBiL7r8n
zL3!P;4U8N)k$G@oNYzIQlrrp}=nJAn{-(#Xyo0$=XyVJLEmI2k`QSR9eW62(MwM3L
zt$WatPvpJQJ{9=o@hR(<C<8K-H#7N>%Z<uTJ=vkZp#t;u>hfPa8Bs1pWb(&N9<(BV
zVS-;k1#0$dGe&)9LZZ*w^%gGkqK@AI-BRz#a6xhL!ara^P7^`4cwasw>li@sbtVJ1
z*q?W)HLM8DC(#9^^CMx_3vHhKWC&kx%Ea5UBMYXIM2SBFD8^-lIk1@o%tC&*7T7ou
znKk~UuD%c=BHkbSck{z<E7vF1zqnAnec>QOr7-%``0D!dNfO|S_D9q^aU=UU%aE+o
zqDbLEi|_{=36wu*nRH*|LD^4VisFU$q7M#Px5BoSA?~gW%~TjK61^Cce|dEuS~V&@
z%<@?o+_U~$@F?X&Y5f^S{2St^z5GLmO1?5Yv)#8=w9bzn<KlCqxh2seJ8Q+A=gMH_
zqe=JAN)Q=~wAFp5NTJf_{Iy?@GLX8)j!J$JLQ3%<K<6%vcDnq;aO=u&@8D*qu#E_k
z$^FWflaE8M4N?sJ6-dA^wKo>q7Dax`5<Z+;cqHNgML@d0`^C-cG6|AW2rQ4P_9B+8
zDT(IOvZ!e2&#945B#=o`BgZ7}N7ILN+ao{9A-|j%o@NRe)}pn|{0t?KI;HUCZy5rL
ziCg)!r;-d?9Wh@!jU~~`SMyrZ4-`<h<Mr7a4k{3OudMr&xfJ?kdtCMEKO(X-rDX^f
zr@*f`pW$Cl(&*JtgZfo<CG_Tz;aBA?3jCHg6i)NQA*)9;Kd-qdqbn-!&ULS<0(a)&
z1&LTZDwSGzdQ^*qUfbTupXE`9a5I}>`5YP4E696_J(q-}dTRPgOf(>3<U#C*Vp(*H
zW|_TzfrOm$+#fR~XhO!rxnRX2ImEPBWZb=%jK1GI^hak&3oi5Ccz!fV9=*N35}G4M
zMpbfDRz?>c(8$BJ#hxc1?%2IWG?OH>Q}?4T<d-fOc*PMe@hYHuT|(tY?~#yQl;+{k
z!}?$zFkP9Jq<|DFS+8%*DI?|64&HMG82moGRFXEMfRLNo_uk7&h|%Sqg=Qc?;^V4k
z41z?&!y%xt9Y;hC*>7vvc?>{A%uryQnTRxxOmuZzA)tEC%UQ`W2GA5ePLcSefb!_8
zBdd7j(4d5WbHFaIvHUz2;%d74?td0Z1#x(^vs~+P+h~_7|5GbElR-e0BkU*A=%vwn
ztA(!5-iGjO`abb&gFO28WWs#PPXeuEpJi!^+~v)h#cj2EIW$ZZ&l=ma7cpokTZ`Q>
zgql}=ksqGPA|7|ooO(YYbSuR0D!3bhNPc^>vzrXk{rQJ_><}NC`tds0O4AU2(mf4s
z7sez18*4#B{Cm)8-7JOr-9AbA$UcxNjY`a6@q9E3Dsp^owDrOOPNg1iKk6ifoEqQL
zlj-P@D);`^8Wsld<dI9Y53?k)uKeu9+q6m5{c5pudI8`}q3+N7?&7F=DfXqa`4UzA
z@1NP8Xn;MY^kl8ydr?lQ_t9fL)6_aOs#(J>K3_Q}9o}?N6n!iWe8Bl{nA*v0;OP>E
z0g180^Q5>iO1U#Q|F)x#y8O<~I<H(Gy38CUk8B7a;nhUr&pVyeoWAos;*)wnzTP}q
zNyCrEneH@x$!(<;*CmTG;Pl|^U79C%NxUfJW4D#Bbu(2rxc;cDqb}@XTxrT(ZgiHd
z|JP@xW@=1YnG$oR4(Ri<a^m)Kq3!hFGjkp-)Wd7>e4``UQ14);%IM9GDwpah@qKO7
zHRh?|ezG<+eq<0=5M)I!o4xC42tTQ+K><_q!CEjGADClL%Z$DpS~133_E3*>@`$qi
z)P#G4s9XUOBQg#a>w7HlmnxVu=EX|Zgw6^5BZcYoXuhfB+dqRL>Z`U>CN0q#;G)`K
z6n=mXy;qCBQk^kMtvr#Oqq(3CfmVM{%SzLte;gqO|70hq-8G?E(st?)`ZPY+LWKtX
zsvr;U`94kkD;`zo*`NlWrwpUz`?jg%8Jnv6N9U-PtL^smnriTFBg8r@e~bF9eeP~6
zwm^L%bM<#kfhyp%L<b+%Z&ELaURuVCmZ%rm#yL{(s-P|wo1iSeNo9MY>|buPLbZRs
z_5MZ{1ybrfR3pD_P(!M{CwfBGs8z(21T$$0$PBS>oPD!Fr5v=w)7EWJIS<v@2;`~2
zCjB>gt?wJugU(*PEYjQ5q+F@hdXft0KU(LulG~(~9nozoG^auC9BqA0Rb;RtJ*2!S
z-K2K)h4Ea<qD4kWhApR#k>S?!Z@e8hwy2BiP1dfg^k`6en%Q%J1h-}%vPxXprmp`=
zE%A$FK<jy21?&DK7%Nr@_I<oVmAWJp^iGNi@m@OB^Gt{YB20UJy$PT}lOdnWFLpB{
z>z+a_{;SGRvbSK9-h>u;*$@}G%2<)a^;ycx4@&Ug7yA`fA|2vvGjz2pV@Dl6Hb<`P
zQGy>wZhMX@(WCWGnF;#+oQNay%3SXyMK~42IL>I!fVSJ@6K2G?k)cCEQhWyyti8?~
z^2aiw!WAE(uZ}zjXh|Wa2Z=zQeS%|LWI`1mp9k+CUc@;Yb#1&(0b&Ag(QpQ^AWK@^
z*+G4N<j2pUdh3J&w5QivKb2!c{8fzeBRvA>dx+rr$q53K=ecxW++j!e?(5tPNEbr%
zF0MV32?P*)9{>F$9T&2Ar83SLDuO0X+sg@>6F|)9BeS|FH~PpdUN;vlhVEF*J)YW6
z0B<#kcJHG+h%ja&f4F`hib#x6o}wo}-8c25@MK;@;9;Db<C8!hX}yP+X$ipmLW#^x
z&yUjBKbf-GNg`4u!_hN)382^MP?>dC0G)4~U#@&7g{HmmJyTW$c&0^uUq}{0jo(}9
zdx$vXzTigQC?&vKA>P9CYr@FBdG%>x86H`3=by3GSAcxMM8%u|QS?Pr>AKb_S!BAC
zQhZ`b0n*ETPS#KDMSlzZ>KN$dQO99I+_Qcn<i4-2^A;6HUL%K|cYh?HzhU?I&6tz`
zakkugS0aIoBQD#}g%FY9<ngU@mz2T4K3iOIToPqhZ2J5#RzkxI{OVS_IV9acVXR0&
z8tr{}(JOXK8Cis9xJyQoVYu*+n4d2WnK^l#<ZdOQ&n;foKKUvz6QY&a@CA=dr+h!~
zM3a$|jYhT73I*KQVkO>7$f6M$*X&q|3etUP-d%oC4f?+yP1L(8hlHmmm>;}VL6a@_
zeG=(4;GE1ITA?y|v_GiMv4Dkwcs5k)H!3w@WB5t-(g*?R|Ll$XCqqHPQfGUDqP0QE
zh4)SAx&q3S{bYZUnS$JwtJzmPb%9Hmo2hn`h<c7*=yT6jK?g@{zrH@D4-&(9W0~2C
zD0POkq_{ywbutMdG=c#1MX;41r-V+iH9NO*kdXznvOU_>d6tjlO7lxfDEf%eO{h{v
zPdJN1Y(5x(J)4_F?nNbJ``v&fvq(e%R>60zTzCCwz_^7&QVCt3ton4|mpob=oVg`3
zV+b6=<|A{_iYOv)g~L8l2A$)bPLs1Rg0?<|;Mxiz>OQgJ!-JPbd@p_=(}zazVs!n)
ztLF+RCW0xbEma(i9}-dv%{GDz<m@ixKtQ(_pzeU42wLFPfr=y}h<E+Kux~;RX-G-&
zrrYwNq;-)Khb|dGnzjkcH7i;4aMiZa8P9<pJHG9+lQn|IJvz0*1$fk#Xc9^@O@|(s
z_$6KVW(aTMbu#^zr4hH<Svm&QWvY}<dT+_@T*(^mLb)(0q-6JuVi7t(4ON_$Sz0sz
zad55Pc_4wz9fy4;@4vy`)ujz7-82B92A(eNj(td9a+*OjX#gY9CKDdh8G!8Q-r<g7
zQRJBZ>3&iFH0GY3NS_@65M^ronyx|!#T-ki&mLUB-Zn>73vvOp{^WhsxX6zr*8jVc
zH?xc#m*2j6KnVjs&7fc@7hY8Eu+l8nwTg|#-uLG`s1G_9ed#q=cXdaubIhxE4Lh@P
z&c)JA4^moZ*UmSvqlkLxbK)xN7+ag*RnKT$(9igJUT=sQZ3=Sm-)C6IoY&Yr?WsCo
z-Byrq;lhCA)O$7``mbS0ubB&mm$gB{ksRD^K#QmsasK;CR<XO8F>g!MwBa;m$M(eJ
zCiURP6FTvR73}`7n5%Pu7PKuhhNUd7P~({Rub4C~V-(g;S@#<>Vb9a*5}Ah!)E5ea
z!h>Iyu#8(>oJ}H{@YzJ;o0H`X^-el}YUa;HjJEjrSmjj>P~DWiSLQoLJvseSTyuE=
z<G3C;&()$1v-~p7H68=hbuWtImf`}|a_s@FH(4Fzlx(!=6@F9wx18-SgwA7Xxa7v{
z$7*2qcOzf3s+HQ=Dd-)xHiyNfK2UaNPy<%x&7G+_M0F8~C^Lzh!?bMhK9Sc{K_Z$k
zS{e6{%2YL8&}}w{$;P-F{T!nJ`K4=CbYmH&rXCLy%5&HerkZaG=P2;#ve-T=mj<ls
zBhj)^Z4L_w+Tw8PRe>_6`@wGV-?6@9>S?KtbC@3gbv9dj6*wbc@L);h2d41*g?U)<
z945MM?y%BNhT4OU(w9bmV_fzTC*I-bF}Z(&pCsJLV6*kA0&o8ZGxKE_jz;s?<tLT3
z)OivJZjAph?)ZyMt414U1}|Wdo7Iu%HVJYX0!|R72eBhO@m-%UEMj2+<XRqH5?q_E
zxi!Nuf)$J&m(lTG!rHlRn;t&4%R6IAuEi2#7|RpUx;t-|F};DwxvoGZXcUOB7diY7
zGdk68l`gu9r6tHj*1S;!6^?6S;bD_lQJeFte?@DUzk{{#@-z{C#xI$Q_fBI>_a+Mu
zU)#XG=}lQ)Ars+cGmS?;{w$_-!+~A!$`*Dy)9@D2Ujgp=KEJ`UHHUeB);^_@v4iCb
z?)TUJOaOe44F9C-0_I`qBpk_13zC*}ss+0~b*yXgX!YbG_C)={ogN1|sO~5|k?AiF
zBO^(Q|HUn1&s*yPC%WljP<OBH!CpByZR=jdd}bAMO?2Pv3t|Mtfm^BFCUW4gGHu^;
zY#qDZU*V~Jlo^Z_>nvZD%fcB2jk>5yo7msKwp)D%Ss`-jtt^2g3-$2@esopa*jV0U
z;-2g5(3&5)^sQJ1hTNz6j%LvSe+FO5)oxD659L?@Z5c30dRG<BKnDj^Zf-{Eb3@U|
zs)oZ~@!*woB=cY-J&bSaw<s6$K%{@ykN%5z2q-u+K1^bSGNVe3gadqFhl)EX{CMEs
zd91%m%M9K$J2nlp0zmU1_;+y=4ldkMEw|cXfoB2CBO9ZFAoWLyjW-4dO~2WiL=@Q}
z`2+Q}?}jkM_9W7HxZ>bhU%2X{XikXab@+A%6NByN`Rf|yI5?c<bNZzKH`H0?Dw&q=
zgUS1iIahY;Haep0At5|qk2O8*Qjvhpt_r=Fi#Rx5GC%#An-3Ht^ve=+C83`A?2*bW
z9PoVq6&hE=4?VRjJH;B(Fx0QyRI`PHiJ?_#hZI3@v*FdgHiCnv*-<@|U_AKVOH>w4
z5eAm$PRVEA$Uw{;?d=N`8Hmm3^{}fI1@<pVQa#CXaM-3Z^{$vKl%(4{BMI$;5R~sf
znM{CpRp$F{7|4O1k7!wAqBvZN(=DqgB!c(n(l@z<^6)<Z009603|DtJ)o&EHx9rU9
zc`xqe+Ut8R3Tar$h)|JHXey(Wh>#>n6e?v@Qbfx4ghETy&q&Bflp<vm@$>I_&ig)}
z^FHVOjP;)tKd)9$f<pdVTeRNj!kY(~jsv@?5Vuv#U^-D5E}u3UERUjtkQiCp5Um4F
zcBcvn7F9^no?0h=N)P(x*?Uxf&>*Gv3|vT3gFqh9QiTM4$f-X)Exbbytgnl7$x3O!
zH{oYPxuFag;tjAm!p?w?jfRQa$~1xOZAopX89=wQ+0Mo;12DPrE>+Q#0?z)P-p?Bi
zAmL@F--(Y#Q0BI@F5)2-)Ul&%QQ8pf!yXUc;WLGuyEERCGCFXiZBj5>%@8C#b1$iG
zHHWek2@7|3U8pfCDQoC80E<T2_xMUns2U3vn%zc&<9~&|_!=6(LQ^yOiUUBy-En?U
zm=0z4zjj8`88Ft)%eh{K2|+K~_mpp-gU_wITrur>Ah=q7>vk<`sNJ(EF5HI>Un0Yg
z?Ny;e!%V+suz(Hx<PuLx1UlH855E}Ls}1Z!)FUO0Ht^^Bv(ApMG;leTz^<}R6P#Y@
z=dE+Fg;*Urf7XI7P?^^*2`#F?J3G<&!CYJLzyEn*_>m4Qxi7ADjZ**_Z<(^2wYK0X
z;L7@jp$+SJ;AV4#BouL|rhF(_>EGgf@zs6`^uNleN)ZwU^-1H~%aOKlU+k)QezNAu
z`NV&k{OoXEL;GsKv@NvE_7|;5P=|!9xA`n~lf*l}D)loZHZXQT?5#(nDoickPwMq)
zA-m>3I$zbafn5^{Pda>*A=U0j#7m`Va(4WxTur_;Oy*vzm2*>sXuAtG+*AKZH3{EL
zgH_gWq&`g5xmFIom3Z`VhqEK+vXTxpjtTZdJn?x8QowPn#!B@L7mgZoSR_mV82jy^
zj~|u*%HBM_<p~}<a{W=ZW)Q&nRKg;kAqr!?HFL+d^I^)aH&6FIC*Z={9q*C?Rsp-_
zu>x)bepD0xyR`p>6?oV;Ntg`rfW~i!sme@#+?B6bTJ*sZ-X@$-FdJrvfVI0=UGw?z
z!9&;l2eTHyGnZ6$pIjn1Y>wUS2<J!Erj8wA@)mGKHENqk;VkjrVQtn<MSiSxAU3i%
znFIT1-X*@uAH=;1C$ESGJ~Zu@YrcEN47$k-Vf&In!Yw2)r#FBP%_!@>c)c}+f~QL8
z$=*U3cTZQS2=ZaPY+tj(8dLB~cipF4`;^QN|M~=5d69FY(_nX`3B<LxTY6>nlCK;3
zwywF#ix2i46_0*x3?7Dt$$N}PN$;4`!MvHg=(BcZ9cad|n|El-qweqIM&7|bnPOfH
zP8pYD<QPH2)02TNLDS^0zkt|MA1|sdnH;;sWd!d=jwd!=o*`v;+>~m}`B3kEKzhYd
zL)iP7dZFRsJXyt0`}Gm|kl*4S?}pzi|51P1$7%Nhx$xM0>Cs+({N5u%Y}#)CI$7p5
zVbV+F+iSrFaq9#STBy^-a}2N-K6p{Wn*}$FemL#uAcz6(&DUJw8BiHqqrU4pE4G}I
z)pCzoh3j0lntKT|z*1zRY~Xh`TzpaBGWlKz^PFWx-d)!Rw@-;RNoE{K@e`}FuMkFy
zzYALitn@)I+%fUjSx)?1Kbg5dT?DIor91ER>p`q^bXCqzE^KRW<o|L?6o0<jEp|LX
z4_rkqoHp9QgHbHEG|DcDq4F*H>O#6692@F7vTKYNX}t+0{Y~O%)ceBez%U&=K8y8S
zN#MsE*^7ylt5&01jOoF!d^${ReVuJ>E{Kzc#Av`FNqj#TBq6b#4wrcS$8v>)FseSt
zPUoK#K0fKJDXK+>Kb_wy_MQ+%PoDs5o9i;Dj!wLG^E8-cS4<K=D}wUR94u?Y<nXxs
z=c>(>G`M6}8Vz?vF+{1>A!4gMy1v`xL7bog^V*b&|A-jgAF))8)mOv|{t2RfAvCBj
zd&PK3lR#AmdPUuOCG5&9Dsb3C13sl;pF5eWQ6=cogy8{YB)qa&N787JEp;}SXO$Ed
zx8HAGcSi;N)Z6ug+GudaDMR6Wku(-Xme@AUsbU)KpM9AO9n#y}Hr;WO#k889-F=(X
zF?yJfug;$i!IOQzZKc+r(o~c8?+OjfyOeXbx1J93Uz(2Jo|ng}&Pc99GFq5A_ti?!
zKo7*%&`YeN6p<#*OuCmyL6$f-FY87<NQ1*FO>s(SY{byKKS{+7pB=)?z4{<hm^!AP
zu8hjtuc~Wq(!u&Qosls{4Dh5~lXASSf+eA+{9P{T;?d@`rC~V(_~7=cUAkTs8xlB+
z#hYo^|E}tKsgfa_4;}RT(WQpb|H+pL2h#CT@n|cztr0Z0w|KaISH}-$zD7{q(6J)j
z)M_r?7-U|Sd5QheK*3AN*@Y5%xK8a@&T^Lta8d^&HqL0G58RuGG19{|hhzWpFwH<R
zCwEg`uNG!ObxIUf4;zwX`!-jbgT=G3tu8kx7|eUQGj)oNLeHe#j?pY(zrEYHR!1r(
zD6r)pJV{3%)`86nMOHv{ZZLh`LdAxV$z;bC8V(&2E7oNP2;+Wb+qYU9Z@1+7s8V!M
zD=8;F{U!kKmBz$RdfM2Xd#FC%NE`d8X?~@qOi0o_-e4@LjWb*yYLyqYknL=Yv27I-
zXkb*O^qh*O!Rm%_X&T7lY@n<qX$_`5<818&6%Voe^7dF(#XFV<RQLE;!`G6tF@8xD
z%#QGklnqiwWBb((CzGsU^&gJ6R|~Z;Vf6gKj!FeIwfT3CmTe7Vaf<uMEKNLfx-Z<c
zO$JXj8EJc*v4*;-%J-u|8d#o3-|~sM8aEr9aeoqQ4NB3E$Db;zqf5!~vx^F%_>}LV
zSc!o(%)xTF=xbHH;cLfK`zC-j{;9cFCYj*%x}1OWUKPA->tC;Po(uO=7jH{kVZvf^
z;#GG+WxR2drpz>A#qDhxnd@wr5H4+4WLBYwtIPcsWzYX1FDOX|@(clV_YjLjjXW+N
z<l0hkXqtRuWOD>#0L+g{W(85?P<!X=P2rv6WMF{0=XMEzAYrF>+n-3|uFCKL$@oF?
z#^0xwZC(U~3`Zq)9+bql&#C*PB)dpOhNAn-87qkGP#GU`m%t(ZDa985H{?6dG>5mO
zC7fV#Nm>So;jiRCH+|+aQddx_EqcxZ3R>NTqH;v=W&Zv3v<pwkT@}yjZZj-kdkC}Q
zz_bt^E0^&e-_SsgQ=X5t9WaON&~V4kT!L6(tfZ=S>^T{`E$W6uof+gU@UyN8<-@t^
z;x&!CUy}iO*XmNa%piRHZRmmw4|)m?*9{xIBa4dDBPd%<;oe=f2||<$wKMOW;fU`h
zL)lE${8w%QuTwpnwKs6!9%ah|m4W@_<7jV=P;L{D+sjI2X=1}#HV+XFzaf&XiO$g+
zXbh#pKCZk6SyAcks<!7fpUKG@)jN$ZjKIlDm(t|Lg565vI!*@TWSOC`u_eO@%*}Re
z?;Ttsg(oMsalD=&eMVbzMGFkU_r#?x)u4Z5*_zr%G?*fFMsAv@ix@%{hkyv(YLV2?
zEGRJ6m?jstUX=4qGyvBkS?xr>1+vaVCE=djZ*pI>u*~&k1{AwF-QM5wmpl|-`R1bX
zEa^iizWW@*fYMVvS9v4<k~x$^9YyBzq-xxSC*n)`V34u%xUBn1eR;<cHS{mZ6wA_A
zKdBFkZ0@sW2mX>pN+GgRRf}Y9$7qI_fIc*sPtz(_?$;3fk=?vznOwi^*WnL2dhq?)
z*_2r41=73KY>x9k7A)0!uMn%H2WAawd}{?4Nft|HMFx!x4eir9*j9KlVz!gbePNM&
zcrAm^y^tMetGA>?xzpjomV0LTvP)#!gQx$zbvQ9OtYzQuXBxN-EL9ZlT_!iYZ`j<|
z$%XWhp5vk#G;n_<A%aI)(3@?eoMRymvOoRCcov}xpO)9&_~pThl3yNWZOY(7hxc(O
z-5Yfvn#Lc>=gNk{u{p^vZVI4Swc}G01s&L3sT3L<!jA8YqpUuDTZNNse^dV?Xal#t
z6+SB9Kqq0|s68wC>%IFy)Vi4!|6O}?@5CG@GOp|@DdiMJ!538rrX#3uqW00e?mlk3
zcJhb_SCkl1N=76X=PAI@==c96!i)ZioUXrlC2-K@bWc_~1)Nlc&Bl6G@P&WxnSHVv
zMXt=R*J4m0X33Q{^GX0Sq7oZ2vZc_kVWWG<m=<h2{yEOz$0`i|eOb^rTLxX!y$)@y
z(1J*h+(!orgfVK~|BV?bhkF_uo;svyL9U8#jOmC7x;^)PQYNN=#0*dLa=aFN+Il!b
z&Q=UfqPCXjyimmF`;_u;p3?%eHCH#ZJ{8AC`Dh4JR>qHq=qVGV79_1UEAH@JjrnPh
zD}v9d;6j;h=AtkK{45^5xGX1ySzA*Y#3j{G#-8s$dNKv3PXt<9EK1{RnAW3Ks$+4Z
zl=Xlv70NDi4|*@jVrXe!XNaFBvi^Q-P|T$bhwZ&~ajD2-xXKu9vpfZTQh8YauGWD{
zp0R(A3>498w}o@dC>0-Ozw=fO)CJzRpErFCQo_NcsNIv5I=EbYvUu}f8i=mVyM44o
z8G8@#iQo|$Zu52Dc4>kRYrEPMIObGvpILJA)I~btY{d76?D{abt#L$sqZ(EP8Qp8%
zp@$a76XR!W7_cF-=JW2G>c}#6&DTpxA7g{2qM~jaK)JO~kQ|F9Uc6Kvd8=F>=i;(z
zuUi=bO<<M8Rwpgw>Wsc6C&|EQ*@t#Fei_5FhZYH}85E4Um3>!b69Yp|?rr6HZVDe~
zvbDLZspvHvy*y{nz=c<N8p-A65a+AbQ(mKuS2GE>Y!(I{G?M3(zHABIUEXVj(sgh~
zGv*^1p^vQBT=h1cB*2F_^Rr1?7lpeG(gt(%kSnH)mRky-!tEoKovMps=S_VpV(55U
z{(CuboC*H*$43lr>Y^Ggv+lCJE~>{*-uP!`4Wb`{xrU>3(RfZJ{edwR_g822$G^9R
zIQ#IA|FP(z#P^;<-$yhs%wF)qc6%G>zHEMOH&X|<Uwt)F9jS_JwP!~ovut2)fcMW7
zp^e<)?(2>%E8;`|uj<bl8}MiMsdna|V(Lj(k6=$({L-paWVTX&{{2pZTaFfrFOB~k
zQI)_DNggBbY#Ye(e`557OB1zIV*Anrgz$yKn}EX}Hc*rLA=cen9d(_$mohXtQPApC
zi7tl?RJTaP=NG8rrhwR>-~N9{fuf%qMXy?eQ2h3qo=?g+IFMd`^2{h1ZekN?rE3l4
z7sGy!t12N2|3IMm)>FjCjJ?04tC?VZ<>Z=(F?n=YW4l(|YlwI?+xN=Mj0xuVw^28j
z$f8LOQ?Z19iuh8#FJ;#gfY#byR@N7!@X@DD1H}?E1gBt>Tmch6^5?ln0hJQiLt$iz
zUYaM)t_xns%OF4{JL`TBhZqW^9^(=o_)7%#v|qk)-3p{`ML*<B6Gq33iLUcni$u!N
zuqz&D3Hqj9XRhQ3V8S@+c~mYEK8=O`Y9khq?K^I-aDoT-oDi!iFI^;H{+xugumzmu
zI#pxR!GTZx(#+qRFA_1@vj4H#ngef8x`pvcR{T1Car8mb0@3(Uy7BZeGgv%jJG?0O
zkG$p1D5xm;OB}dzI@`9v6jncYwX>sVj(olOn`iRFKZJXGgz|HKQ;^)489>$jMea#l
z$RQf$iKA4HO$FX2(0vdCj<5bf#?=$jgPn7PcJ_KQ?4B{?b^Kv5eKtz6omWk;UY;e?
z?noQF5io}RcSGvxHhdyijqi#pvYsW>17^G<_ZY$5dUDrcwg1S{PTFRp;u)ggR`Mf(
zcZQH>FB;<e_ZgYn|MFC!&J1CfXT#=aX$Uouqrdj*UL|{PU(ELE{Y})_nP@Z04Isww
zP^3V54Y3o_ik2#V6Pg8EW40(5z);hl8=gHc2=%V-h1qw16M3`u)AO<!@Uu;!znlL(
zF~2rf<Zah)!sDi8+^`4(`VU<0QCIpvbf@J=Qz<iq$SpA)zH|EUp_ygjzt#c5e*M>J
zg_|=(9mDh9Z!vwKM6pQPWegEgdtDSQH_sA-EwQ61xq2XGU*OOw|C#Wxo9QJ~=7^ZE
z0HqpLJ*d4=ai-<+7vit|u?Y>;d17?!I?m8aI{5R=KRGD!mFRhTYRt~{4<Qqsa`=J`
z9W3vPd7Mn1Aaa=@&s{425)6|rf6odU1m89M#3MLKR32NiFUV$*`2EtX%jJ_U#J;wO
z_3W4;dM@~~$nvh_dycI>!jifmTpkd+PkWm1^;}p0b{3EeQ;9h5rURC)O0g3;zlg5C
z@`-s0tZ-c3R`^SfHq3ruhXL6c!r;nsW3@LMP-9oADveOVb(7}T(ArrdqoL;6bS*n<
z9Q>!f(})VE-7oULJUCA%7jcVlSaQO`!+hVtvlMV>j+6A-@|Tb+o=l$p!Ufh_X4HG9
zw1CTY&hgf^MPkG*TT;HB2SkG#&2M>XfyD(Du9F!{MDydcSIkB}XnC-~=HUxX5UEwI
zVTopeTkhX14lM}4Hl@{!^R}8$HFfKOT`Mcp^J|>e4;2E@jNlVv%^GlzrKEDfkRAGz
zm=AC8i-7m9yUu5}Xu$0_%P7Mp4k&Bd(R}!XC`4G!m&E;02NrI(V%x)9kW{GK)+Q$o
zSN30@Up%i4{ZoG*-gDsr94=1E=#zkE^7mN0ojPc=ChA*x@quNW{<#OulEAvksQN!X
zbr=zh@*X-T03U+d$F2IM!Q-eLyUZswh?u^T+5B%6>`^Sdr>ZIk{C}=$b+@WPY8>}!
zg?3>Ws|+{S&65YkfTY*LFV&z)KDxA%DGGTh0<nSD6+xVb%VNV9HTamdF30kn7#JLR
zRQ*#z8FKyqG?pr>L-oJ+Q3sPG;Aq&uxaBn!aC_li`YT=?QmXt_5Bo{Nl}0%k!wqVX
z;$>M>z^4KGPi;&4wOtyT1yiiQ328vuZI0@p1`SZ3_$Nh8l7&<G72rOh2?=a>ob&E!
zLc^)5w%X1$;IH%BX}*sF{+|vMukY7_z3nx}sTzu~v^O9%Za^EFMud60oTy+e|M{)W
zAtfm4Q7zg!t_!>4GGgsSbin79+muq5GBm6`f8j<H9j++U_u8)bIuKpA-oZ{4_UO61
z5IU#_JKvpsTm6a-$@FDG;YKz1KEI>xp1(ds`!EKKjr2kIpqka5wHk2Rc}}CwfB{1(
z#EzM_447`=tbg0Qg7+nZ@6QkeVj`IAS(gprK&S5pA!`bBFOR-*^fQ3_esNES&l$sB
zYfHDirBv9Z6j>8mU;xvx#>?x=O<@Bw;A8KMHjt0b6#Tnr047Q2bV3HqVYD}J-!>^-
zki1yj_QlcwUW&2zD#=+vZ`7)~N=_Q6bX<H+rZON}Q`Avd6F^U5Slg_U1{4FKIMD=s
zFbQdxKE+tkm!nM|r+Ddb|0nUle8o3!X<?j@Rkw!wvo9jfi_n2XEp*c=AsW12U;WHu
z)*2%89Ob|E(!jFt^RchKRB*U-W@l-h4TxD}oS(I%!IPjX0X`ub5Lnsrl_72m{ef@R
zC~wpS>W}+e?b}qK@x%#&>1_)gyX{8)3G2YPR9Dn7l!vizN2i(lZ2{yr8>wYc!Tb6?
zdbqwM<T(m_+2Usl5sceX>xZ>~=qb3MW-kmb<!fY8HElt*<oq2C0ZkY;I!$TZ!~tGg
zYfM<**+5<QoNc_EI=r6UqVys47op#ERD>_c222kaggGjy!l%j7R-r2-A*cBSlD}C)
zfAPNELh8!!7;foOPmPh_WOh6*&>FtPXCF&7P=r099|L#qn<MA)(?;KXWP*dzX$9pH
zImk>`A5HtUOgaRHXPCP%K{_Jz>9V9WF#fzaExwu^#hR=&qgnwR$vv%OPb9$U+|#-t
z;6!ges+Q}@xO$WYmS0yzp+hL|W^)M_l1y=WYZ3w4O-a+r@j@%_{=@S`G&eH+=OquH
zvx31E=8_ih!4t}lI_Tv_Bh&BO1d1&oV|;kl;V37tonz5FJ;sghjXh6xKC^(G?uX8}
zQ&^$GnzH-k6K<6AIC4pF(i}>w>gS(kuIMh;rQN5)xl!o{@7WM#b5P;3vn#stiwLNe
zkgOKsMiE-#$2Y!au)%oA{lx39#OrV-GrNonYaT`ZO1owXruLS(T{{K{%3<HEha0(2
z(ZN2MbIJt1Cd3XzNHr6b;!_!>OPn};q=)~SjR{n=fBCTIRSo%7E%=LFBPS+?A6xjG
zZw&OwvxAlLouppj%v3@lC&r%tw$X3N2u?Xqr?i_7k*)vYrFQ0V;&sm}WmP+kU{X(A
zFy+Y@$rDvpf3TVpqkO+f=e{+BerY}ru6sYonEjz^i+^$=^+LtIw@gDgIaF8WEj3N9
z_RU#}+{}faMT5R*))+voiGoaG>2K1MjLQ{j=fa8STOS-_7{J^#&mKFOIkF}Y&tx9v
z#vObjQjhO5;CdBrJm<bYr03c4n_RX$cq=?Vr_F=`mn>;x+v*lblVL;IL}OlbVyV4U
z)u0by^?T2mEdL{)JxIN>-jxrRg4t~MJL^MCpFjJIG7J7b(RKY%4nOWx7^{=~tOvrr
zvyBCgtT_KXNM=8;AUeF0y7@R(4?>#-AGpM_q1i;T^roAu@V+H0OOmV}DBQjwomIz<
zAzojD8D_$0+V;oz)=JKO*nR!d8(vO~<lXF_W-5Z8HjkBT528ccv6n};gmR%K&lgq>
zS5d61WA$5<po3qyP3@jxZd^Tb-;v|A7>0$N-Cloz1~wPpR=FMI#mZV(68|8Mls96&
ze+6g|m2if+R+S&Mn87A**RRGq%p|U7nYy6nKl$+JuNB{z)*SqyR}%LOyNQKr>Ou%>
zX_MaQD!k;n_2+--(s=fYY|()>9k}2auKn(qFkTHF&2!l$i@y^m%FB~i`1zoTOj4l;
zPTkcItMOZddbV*Lnw~nadEL*#<{nYh`H{&>IiY~-_(#N?K?ls0YYs|L#4+|(*a`j5
ziWt6%Z)udN1I9lCE)JiUK+%I48m)55s8JhvfZtySeuT|gg-S`{pQ|svoeok#oyPM^
z%t9SVK71tjVT}~J@1pF_Yf{CL77O7BE?xNYQqw=~pbTzc*?angzB&f>3)^>Q=|b)B
zrhM+ra_B@zjtt(>K*fY1F;-_9Bznvr=UFR{RDE?_4<jw4IY3*d0v%SV#s^zc717A;
zw!^w63f5ocdfc|+yV7?ZDXRu0l+^A`&3Dnp`L`|k_jc&PPZplxAb(|KW#P%Z-=l-m
z0hK#r4fNrpdH4qTGb-3x{OzHt6Af=3Y7DDUU*Y?YcAJMDsp3be12aKe==fvcG$+N}
z0Ay>0)(lRlVaq}YBjyJk^O)HU>5+yoQ~Q(GS55;r#6%q47^a8KEYyf~Ek-bYdO4uN
zMiXznu%yK|>)~I@(^Z@nCa{p{{MTih7A{V;t!bavLxpqC|713s0(pGL7QXEieCebp
zoBKx(f9a}+mF+Nx=<j9As<u@0FEF@svPlp1x|?!&xh;W(uk~>!yEZ!CU3-G&u7@<o
zLdD8rD{!h4C(5$5@z*xFA6>WUn5-#LO~?Xpa6VMvnbpP*Yv=NhU#8*tRAt@S_W;FH
zGg9~DbZ~IJlHS8ZI=J?YmB^{1Ot_}mW^2W*gZ=wnAJJK&;I;dC50T3nT7q<n_dn3a
zI#WSPvYjUS4+oXk9kd4D533<eO&e!?l9i)E)o`;z^_1i@YsixPM?dGYg8#?!jaes^
zF{N?fhSqOuxF)a^;1fW>@>t@0l9K{@rT_Up%5DQ|htxx7&9u<nR@~rCpEQy$DMO_z
zx;gYo$e?6W1Mf^YzgKD(M~k8hkv(nJ;MU^O?47KRKRrGlYqS=|QzwdF96WCgu+xO(
z5K%+<3Ay8JD|zcg!)n9FYpuartjN#stO~mBkE*gRV#OGXK#5mhnSk45cGUALqj2q~
zS9OhZq|kvgqQQwwC}gO3?n_fdm$hE*hngnHg3I4J-pew9OT%P_$3Px0PCL}-JnJPj
zBAv?XZvzZF%$!;dl|{|K{%sA}_sPr8u6x^B0Wg)X^%k~D;o^sfJQHj!M0!X};9@=j
zyPW)t>zr3(W<<gh?GIf<x6BV$l?E%wD=6+?$1RSBYM)cL#SajJ1!iYczgogX`P0U#
zZz5Ql^QBqr(;yKsv%}Fq$`Zu3`0ou_62d}*v$ICmhlo<sz<akGE#S^v&!Lfc0c<~*
zxvkrCh;Y4%-!xB|gNw3g;%#4EWN7*5zhMp%CG<eP`X)2D6VcNbm%)Y3Ho0H2RR)Om
zt%v0|@tHx!w>!lyq8w=LqSQL@^#ifPYmIa17E^#^M)%!*R=nNnr#~s*Npw^P^yL(r
zz|oFzdfUJ<`R#D}vyU@x35zb)j^0IMXm%^rIdgoGv`vrfaMx=lx?c_l8G0Cl)kuYA
zNY)=x_>V~Z#S1k=Y2WRfkQyUkW!1{B5uPKXHYYFIC?*nbb`8hct}%ko>xR3xfBQ}T
z4*&rF{|uLRIMsg?$L&3?z4x{5HLjU`kDW-iM1zQ|pCnWgDv^eiy(4KTqm+v8hoo#t
z$lhCaD(mOp&+~qs&w1X@d7tw-e)W3)hWpDgRe9>s#8?fOld)^x6I{c#X%frndF!!n
zV`&zW>*_G^R3vscWd-xmdn4PQ*oHZMV?ga*>d-=O<#Eq>8Ot1VIc^`+g$;8&_6_M*
z10^S>J3h~UVX_Sz{6AuUV*Tc|B1;Zxa79qZG=z5%Yp8uc@1Hb;-5F8)CDEx0r~FmY
zJSXR|#v@%H-n5Ql+aHbESL{?_;>Bv<ceZ&9EA%+l=s1Ciwv~Wcj|zBQh@PyzHHXC<
z61XurHHF=G=wf3$sRG8TllcGa<}d@R*M~M^XR(ap<I*y7BzRinqTzRH4tw?w9@y(G
zVC*3@Aqn9m;7=0HI957`J>|{)UBbGA#WIgg$T5+iK`6p*(_kJmB6e~xQ?6j{mF{0g
z^p(N<iD&5+;{wK;81Hc<aTOal{b>GqfD#Z|33gn#MeKdBLlnREI!4u4(vVxA2of)i
zg4=9<Ve0U7Zf|!3qZ$1(UNWoz#~MqXrM4_#rs?A+Q>Qku<fHW7tr7}wQgcJtscspQ
zUt@omu>Kb#T}%1Cb(RRB-Vt62)hn11K9O%gaU1)XeU{$f9RU`UOx&D)u3|YjS@Kls
zE|yi)6p+tCfLiT_!C1a^j9=|SkX9B2Dv+KJ)%TW%dP<p1yGt8bO1qQm0239;^(#H8
z@l_5+Jl;^b&}?F1zh+VlGO3YL9l_<jvK-{~<uyNg_XkUEI{lK)mKH5x43ca)vLG`y
zne#N`AI2Y#KS?0bBf8L5*;p=F*w_h_b$z*wB?#P4UDIPko{ioX_Y!45mgdd0=$~B-
zj~A_`jbKJY7VAgLd1Ro|y_7Mqh5|894_3RcvZ9@Xt&!;k(opBo`hHKG3aPE7NWQki
zp|T9yLS9{I82E7aA}XRrk*kZT{;eD+LOmKs9K^%i$yfC2cC?84@`;<?{#+=#Xw3tc
zfQNHRFYRUJ>5=~P;QM{5Jm~Sm1Oa0+JhYS*c#{+v(HX^|VL?0}va#*>dKZTWVO@1K
zh11MPWL24T&sYFm$v7e<ydVV)d*9$<J1f$quinXcD1^cafBlH+mjXQtQFdot9KzR)
zWkm^!B4v6x{%@mFa5^Dnt^OqkvLlH$3;By9rgt8R<y3g^|7v<U(1Z(xIdV`5&PX5*
z3)+_djPQ`cGg45o%Z-w$J5yO>q|k?*v)fEXc<?*S-_SM8i*mTS3Q0QBh&@_w_^_HZ
z6n{*A-#N>Vbm;RKr`Tmt+*z#P`?54#$lxzD5fwsztAvC7DCN<g6G7?>Q!-#Ebkjj1
zQUvh^r3hYTCZg>a;$2=LIVfonJy1;}j$HE`#E0Y*5!F=Z_v$ox2-3*eesEF(<;N`x
zt=TH0Ls8=WR6ayFP6AccHc8|kocn^mhJ;Yk<=f@=6=7__{EnhE9=Q(2Rrj~3Aj!q{
z+AcN{%uDp8_w-96&F>jjku9p|*$)x%g*X)mGcz%#3YJA@lAlp|l&hiI2^!02Ej1Wm
z68PN8D38wlW$e=rR!41)8<qva8n7@*U`WUyAZ2psPU@~YV%+Q;F;zJLdX*`(wE_w#
z>j<=FT4<o8R{p$Of!e^MJMi-KWkn=$QMJU@OauMZ?{hZ$stf92+UG6Gm5|G+-dVXh
zb!2Mmj5ZVvVCQ3r$YiN9y39?(`b0?`Wyu|=DK-Vb#eG~8)gU3`&QlJnoNCDWl7oGl
zry<abdT-r4OG3ha8F%`!RM2T%p-&w?Mi3`iK^=aMggAGFra8-%QUB)8%WUSxFtBvu
zPW~YhV(TjUX8W3mR@sx@@oXBy+q;CR{#j-8Ci3@f{y<rjou?g^dENw;p8q{AGO2_p
z{@Ike;iORS+T^3{_a+eG`YAm9o+5IP?r-3FD1z9WnmUx*O+ZxWIgP;v5gnnejQtYJ
zgGk3~rc~dUK$=&?TTMIx<ym!IdF97~Bm(uc#6nEKtLEzYH$*u^o;emhCBBD!F5U7I
z;WhzoWz*U=K^Y_%;yoyLWen>Qe(V>RZ468o7XBveNuh)GUrJK*N69nd$_6ET#<2X{
zLdaxF0y*G=8ef@glAYsn8IQ&rK?wfr?8S01)X`P<m`9Hi9?4W#Wo_>JR#&#jTPuV(
z&b(_W@u!7Hi{@9H&lrO2c1Pwx8h&J59Ce!z$N-P5t`%ta0_4!SUlO>^jW{P}eb>X8
z;7GH8$X{!Kz#ZYAI;I@xzHWlRGGc~B<J?C)sbui3G5e|ffCVvb$69WmX93xjprDd0
z1DN*LN^O;(M+F#vn12-u!2Bvr<4b)QVQxF(s!E0Q4mPyPm9v1|n;(C7TJ+%jGkw;<
zh%M~DH}j237g-?xq#9H9Z(UfhF~0fz@)|aHs>In4&jKUP;kSASy3jOpGCU|}1`9gc
z<yKtJ3@wesh+ZEZV1HcmXzNZ7Hco62S@32C$=Gg#u2<TCehe_4cZtD<iqfW{`I*5>
zSUr+sPYawn1z1L@yU6FC;FY|Fm_W(RDss_L3#bU?$07~K$puN7Ynd1m80#{64^|ui
znYA)nT*f?^L#mMD31R~0cAMG&{sXWbt)!-zx<b}3ZG@2tCTNqI-iB+M(01SFc@p~u
znfGb;<QFAoFh1d#$hy9tuh85N#-@MB%bCBrO!An)N^%yL<*Nbe9r_hEW?N+W79U)%
z4htMTk#_0xlsZ_@Ec`1G+a>QjH?wcpV}W?y@y2sL>Oi^mEB;9!1q41K{?S@y1s_Sj
zjg%!dc<kAzF8Y}gj@)Rz<IKtq<B@vSS`lhM?C*Qx$WINzG1JM43OGm$3otvwrUvNc
z!9eB!8hG=Cf@D35gK{&^OoJj-D9NWf^x_LGFmZ*;x7Bb!RNd<Eg0U)m$}OWgr9cl4
z*KrNkOE|$Y&(-7kv<igCFQ4MhWdKUYLE}@ETu@aQ=UabY1(yAM`eUV-fZxlK#j}qa
z<Ql769vG>BTko$WtLlAU&dt3j6y${;te0Ej{*i$1opo~Gf2`pC#@fv=oDcf8Q!V7)
zlYnzAJu}vT9j4<g%8sq`L$>B6CH5E+{1!WIW|o2jZIxUux<o<f3E<?|up>dSAb0zX
z91g&5dRXgQ3BxJ2Gs`a(Nx)qFgEzX06OQ7j?lsDb0*Q%#QH6^HanvEnk7l@l<>F5C
zLvC>hAvHE9(~#gn;`T9ZMINa0)Dk}+EdeUx-dnuXBzSF~bN|0MUMS+HG{0>o3AfVP
zYxr;^;N7OF)!*WSi9fx%t6@^me~15%*#5t`PZKAO#R@=xBXAvhhlh6Cw1qxb5<I;9
zi!4nLf`AE*{vKKx;5){k$eBZezZ+!_?@kGWg2hKOu@kaj9Uh-oxIuz``915u??s`7
zahJ8GS`Kzz_1p^g-1on!^&X48I27l%37d%%z$JXm#(O~p{3wQwPuWSpi0rXh!6+hx
zsl9HIxTgv;>nEl!xk^H*bLt1DZUwl&TVTp!tp-dY!xxHurGPhV?@*1P639~WVjKi@
z;M9G4x%dhmwibjRG#M)c<%ur)|D-hF?vt~gl=r1UnZ2UVM~VcOx0OdPYHI>duxI4e
zJQ?^F04>DZB&d4WcgVx{01T}E3D$Zd3vTtzSIxTjx$tG$zuj^zm@R4>&dQa8BqoX1
zds`$3P&jt8fK3N3h<m7JUXzE6V|1r={*WMsGna}ZOc$uWmcRUAMF9FAvSzCdBsgk1
zej$EB52~0igv_rKU~~|9y!YDIyYDoySsTFV?b=J<E)YSoS-IwDu`>LMq0{boN(RI4
zMF%vRh@kEF)yh{+3Bvu$+ebnHY%K>1h8KzOA}W*ln8Ut5!ZW$D42DoD!DYufL<B8-
zo9{_&0uUcNh}^zz2t`eMlBMZHurbYNJToH;XJ23FXqqvEKp#QL`w~Rx4&|L~4Uq<d
zm2yCnsu2jc=!hK-CxB`yzx(W}B;dn7L{_;QL8$i781a!jc<Azr1%-;k!S+>J#!w@O
z8e-7yDU^drkH`W&NnseJ$0p3q8NtI2%fnl-vhX|XC#zEdAG8P99v*Qt0<B?nzJVh$
z(BssITw=L^S_*%mN5%*Qy##XR>7>EQ>T$*U3U)YA;>-~~Z3y+P-2Z$lq#*1g<%_$A
z7{Q84gNr-U5LASZP7Aw9LRimd-k9&yaPHw$Wt)j1yvnI^WTlq?y~Nj~-aEVG3t4WC
z;nM(dPBbY4!D68PJuKomag+RY;H>AR8vrl631r-oFj!iq{GoSQA=l+|aDEd9NW5SW
za6VoT7)m}pc-lEj-cy6$BB5ls*~%EhXwDB8@!gB>+{Vd=6jOh+Ju?9R#)}RnL|!1N
zv2s?-50Xu!JGjC}^+BQkOuVKRH>ma`Ehi@Rk{^+ibex6sA-ywsx-pOwY}2PU^tijp
z#_dUG!9@>}srlkJ+Hl~cB%(P#^Mict4d08mnY!>TteQCXiVZHUxT(cv_K+3dIeO5I
z>%gZU=k7J&SfK9PQ)-LGKJrTn-TPL`Iw1G1KbxnT5&V*~#|y=W$w$9#yWWk`hG+sQ
zt*(?F+K)d@8CD)6YcY~!YPz+6dERR`Xqp!MKks5E<tNGO<)LezRJ5Q#dsD2?jRw{>
zc$}Ed&XBic?xe-sKL9mN?&}lG)NrEccDLuqJo&_mym9}ACP<2joF87M1a8A5&MP;T
z$O~5|8eg5z+~5CCi^J(DVJQA&h0xO#^4q81#U`3HVDZ16sv%1Xpv$@K_A`Ht{A=mF
z+DUy4=-{9qlD)7;_6e}o9DT7tR*U}=$XuZgZ40?K=ks>SCdPg544OB|MK+U^Jqqg3
zchaXUnrD~1{gFCydG{|la<u^W`k5O1blhT)ZrdS8@`T*1JG4#y<?B9_rl1C&hObzC
zYuF+C^JrZlmG6@8MV#NeTCNJ?ZysEP?H#hpT7lD(EDCu1`go3yo+_}uS2#80w@ZGj
zll9SUl@dIjj`le<sX!uKujxG39y#v|$HRIzYWPXmKIq`40_fUdF`2bJa*u_v%;O;%
zs5-s(Fldzo_O4a#3D+qgYoR@3`w|_T?w_=++n+-w)y7K81WGuYSUSF^&Hyd{95=m*
z`}zk);*yJ$pmwv+M-ayZgby<W&TM7qKgyWb)=ULAmY!@cva`U&&AD5z7L=fe!l`WW
z3pFTQR?W84Vgu~=m1?}15-hoY`i+gzKp}JA>t|*-_?CHgmFbxxh}P14Y!RUY>IFCM
z%y<s?EdMS+SU?d>Yy*D|U!sRI)2n7G)0_Yv@^^I}D!`LMHdXp<1}IYrmU`>X4V(TO
zqrt)o&_s*Bc&~s7dg&#suWj)F6Q$-k`U)a62nc-N+vl*FBfPxJm3$zXJ|G|JLWH{<
zSHE%vvB5BjBiuSg0Lp_-4n%VhVO3}$(B&`=c7M<+b!7?xu8L|vcaQ)9BLNY?mpLF$
zUoPTWqsYE5D>7^t0cQQ~n2vtpgrajC88>kI!DUH#^|^`w$C_*MmF2kM_i5IQHd_gp
ze&jEa)j@y?8SUxrr#z4{XIVE;ED6^l`J{oK2vk=uUs6282l@(!g+qDpP~*J!y3d^m
zHJsz3N0<bl=IjTpniOgHY`YcBK1qbvJ7T!KIYBt+^y)J$aevNDdsc2FE5OSW6MthC
zgu!#5&Lyc`4l<}eXVG3#goa0fe4%V&P%m^n=VTNCJo)gWzf+VzCu&%r>4`WrezDCS
zIG_NAK0;x)R+T|4Z!xB(TLPkH&T2gSr3i18=gx^V?sLTn-6kzgDaiSnROOMm-v?Zq
z9NyI`@HZgh>P=@n6uxK|(M>18ZSN4y@g7xBs`8hl+rOuC&-`}bu~z}lo5gBJ1=OL`
z{$3H~vJ7N~m9d^(QvqL1-crSA4XE465GvM^1OJWQr-kQKVQurcI|b_juo8JL!xSnH
z?u6}6)AgzlEtsxJey0T{pNE4q@(8e=c*j0xLKQ+R77a!(>p*{Mq+j4mA~bG1Yc^|C
z1tTioKuc>qur#^@cTyFg`^*tj`v6t2lz8YLA!PvG1E1Be*eQbHR&6R{n+nJu;9I%7
zNCt^TdjFnoMWDEb)6iQW!JtMHzPSw`)9voYEfFQ~a{1ZnnXU|<b@@j;k_<r!tDugQ
zP=bNaxgEO83UGO?E@W882xd0ZtT;v#p(`}POJrmJzV*6tX|~P?;)}LDf?O2g!6>ur
zXuS+P`~XHkxxYqjyC-A3pR>G=d5H=jH!nj7j+BB|0{?DQc^N}`ZbZFh0ukt<7MOO(
z;;=fVpVoBM7+!M%&dQbm-HwJa9R~%WtJ8O|I?Na{!iBG}FUWyw=yUpo7;eZuEaeny
zYYbV3&+1Kj$wIgOQ3cveHkfgYD%#*MhToBfv(}B$U@*Z=>ljK4-_MDDQ>!t8R}M=-
z-r{(0K0e#_#&V1N(AVzYAy*^Npv?U07a|D`eigHlNekpFnW?1C#eE*wYE<%V-RG{l
z!s(o)R`TWOsnx2BhESzNe?-w!6bLb_=a>vSu}RO1E1Fb>P?;%_9eG3usstx=)4xn&
zNh2J%`gnj3_P*-np8O!2y>#>x+Y;8Ue&?gw{y3QY^|3@}KS$h_3?0>I6^rO<8BWqB
z!}sg-gYM#75N%wE{q0=GK4)s>Ja;evg$I|~bDMFH_t^8v<lhY}YWuH8L8v~|Jifv=
z;m8USZ!=eUeSc$%3(ej0xq9#~*V^3m5+g7+A8Nd1^Bc3{BTr{{=z^sKTl0MiI&c$*
zxsA>ZEQ0p<gER(RNV%Bgq&ZFnY#+wn9mj28WwzOWQ_XeYYIEZ_UYG*Pa=mwcNUUR5
z_28%J9c?(6!H^VTu|=*YH6|YtTEnCd$M=~0)Pk0gpFOS%zsarz@=m5KtC-GmM8g51
z7L<h~c#^sH_tV$x?jnj6EIv4Q?{mxn$nXC6Dc^mGd^6JA<1pni#u+<MmOZQq4|^ZU
z-VT~2FW62Tv626U`3WSqhZt%?p7QWEPIrRbdobM~AaVg4lzSk;SgZjCl<!Qn9EZt$
z*R^ft=;yJS91%>6O9Nhh3|~ui=phF_uiOl3oW=Ou%OkJHr~^t~@LxIHK~}0~OIxd-
z!36t^b{KxEK@`7m;9I?Vve4V8Uxck`3@^wsb}c{+Hr)y|ThhwOx1z6lZ2L`PVIy3E
z9W$zs7x=^9Kfw<(GIFVG;hn~^_Xd<&yj3Aw#{6i9RXIjw9b#JdZwe!c@x67KQvrwS
z6o>OnwOCocb@AVQee;s^s9TT<L<&@F)ER%pb{K38U-?dB9G>+&AODg-c6Wn6W3vrQ
zb7>eqxiO6;oUkoD8B2nD&%@4qDd@z+{aG%JRnB0$$;2iVUJ`T~?$Oac{eiVq+&UET
zY8K;9I<2T@rwqxwKh@pSd$DQ0LcNvYIgGioDpM*_2~OFaut<yU$Nq^nn%}orz!DZe
zn{U2Sgin>W&5;2^7<X<Xoyo67ES~XYdg`<ScrB`x3BDe|>ZJtWLB|qi<r2v^gI9o6
zW6x;?gE4GuNH(tT?=p6m_E1K<HxVA4?|mrPH;yGpGD|fpu41Au95b~__c{I@d3^2m
zB-VR9p*%Qt4Ws^WIg?{o9?F_uBs98CW2Eg?=X-P;nBh%{;={J`kjPlQhb(8Ylq-*F
zt;&95o>v{HCZEc|r;R^*vL5qTUv6i<<*h$hZzc1uAM|qY+tByN&B8^j?yK7F)8v2H
z4<qq1X+K#Af2g41#<JgMm$c5Z^loE54?LSkzsmr@R6F~k#|rk?#!jl(X%E{p@IEhL
zBm<(taiMEHt5~~yH_H=dN+cAs>_uNG4F!)a?Yx54u|i=Pd)-7Tbc$V9pk7%T_>8gy
zs+50Y-5qmFMS3)7<g>F++ABP0CY-ZW5&VO-r_XVZaMPi>bbNcS1|H(XtS+2a|A+ZU
z2bdd+Frc?`U+h=vq=4nPTSwBhZR~wNk8t`iCUlfoLiTl*f+PKZhXh&ou%;$&dZA7h
z6pK%3UtE)f8}k&?x92I4<yvW4XgoV=a~q~Vk}e776z+-ggis--!Vp1kV-8em(lC7g
zpd=JemaSGx(IC@nmW-}5oG947``<d1Bp5P}DhBM*qU-JX6FhIZ(e7Vb!cL<E1Qg2#
z9c5rZ-AyE6;|gBnS$<$4CRYNeIIG5K%$U$l)W5SOBmC%#^Nw)c4GF-CZ0e0avY;p}
zdqaY;5TcZ`Sn#_l0ep;K{0TwqXeRMi(&Zr$6k9XL_2Hfbuy4c*#i((hVf~yloUY=i
zYwhk{{Cf%D`r*GT@|_dijD7MvbxH!!FXU?Y(nx}zW2;tnIyW+K9oSk(l0tE{*DF2*
zOF|lnb3G%T7nQPSv!tGqM%o<B%yrCCz}jqD5%!oLRk5}rog=cS)IOxEqFV}1Jo_!H
zuq23f6+)2dae4IOtC%U)kB1BS84avHB50}eyXdu>MD%4=wRT%d2Btd;Z4DX3k?HFo
z)vT|IsL8zfx@nax_&=y{`gUFdJ%S(cCM+a${*5}**kgGZb1wPmu_1}H#Uq-wHB^wb
zE>#xgIuV{Z(9uQR!lMo6Pvzq-swiCFXm|dF5-3^K4q7P7AoRiffLWj#x^+P$aCx2t
z^9tWPNkg(|#miOQ$XgwWB&$c-d{l+2oTF2f_v8_CdU)-IrUsG`<*M&)P>1tLa+?Qr
zh{$&!F@T{>1GP}!daXi#0Nm`DqM=g(xw3qI{#aNOF}@Af%MQ_oq6*Gx@k2@|VDTVv
zg-a7945q)cpwt6eIp1Sq50sJkoX)keCmN_Ss`<QSh5@*(s{+Ll5(+3x`*`G=I<nWL
zm6v-6pjw!sBKDGm?$#!leYvNG=J9&C+^>e9tmJvPbcBQiib20_P6bV+zJF#vXaxSp
zbNl4SNT@1X+2-1~GO|8qXmhH;80MdlTa8Lds5DhYQa6-{9N$-!7F;p`<YYr*Zb?G*
z8QbN?pJY%0_YYFvx(O)tnJnu2E2GRStkXZKBoV$dok>{T6kZhw3E>tLkx`Mkz^_h0
zB+$!v{)w(BJo?;Q%!gM%FJCeplQrc;;cqUKvvHcjv7DH#JUjsj$Nu>{q(O^LFQ)j?
zBNNcfViNqcD~puE4%^s$UcwmVJENqJm_V{ux+&i$Y2>eccI1-dPqMgM-YWWP3>PWI
zqTfeJp=(WtDCds;A^$1Htq?VgVf}la_Y)Hd6jCW3I;c+#Gz;bhMwv#CtT!Lgs49vK
zjt;){NM`^l`C&E-3M1&?F~7CODu}wy`X&xXvB0;McLYiwLvZ{rT2Nkw7r7QHTEEp~
z2kQKl{LwA|ryif(>=;g@tapz0Sp*I|E2A1*4g$P`f6a{6Y>55t?2W?|9N?D3d!7(W
z2KCLXBjIuk=ruEyv9AFKSS(}^{<~!W1?R0xNAFXik~<<d4_fZ)pEErZ$kvD5TaE8)
z7`Ct^+i#Ld2RML>J6FrCS`T7}72=|nRxs@nI?J~>4j6wep`bOV3q^X7Zw|$eV<x-p
zG9IHiU{Q_F$d}Xw{{@E$%d}5e@2PN&xiTDdbdCN__R;~u&Xcp-{vG5)eD{uHaX2v5
zaaE8n*M_*%-MZs{#>uU^#zS9yaq#iK6uH~<+8`xIX_0vA7g?v0$n@3~2LsnCgxI~b
z;EIJq=K<z*a!2`T(!mor_!A~CB++yLPHY|EOLzZ6KKzQaD>?)REks!-Ys~{tr+qG@
z^Vl|7;U;7Ha4rtovaE{rpK8KRm4+lW4F!aq{$P7?zkZ6L9k!Q}n!vch+86hc5;ndk
zUzO0|fS+9>wjqx+U`vRS*YX54XmObaTzSR;LszqzFUn~EG1%uf%`y$lDvb{C?E~O(
zT%z3D*Xj_j9bGsTMh9(z!1rGlCxjU|jp>-HgY{sudj1wY%*U1P?cU{rH!>EQ5+iCb
zW0C$ZIEoSe`;c2~ewrI1E&sHqURB%g^M*V%W@Z>Q?XB&w<$-67j3)-A)u5s$|KiC!
z7O>+^=OeiC!r`CxW=7vt!G?SCwuA{A<iu&|%wFY#Hyoue<l|H!tEF?(^&dNYS7Sa{
zi1<OUPp^i_R2A$jCxo5HabS@4y>eDW5Zcg$axjxB;CPv@>veO0o$&Qx^)w;K_PX6i
z{Zj?#o`25$uZI(+IkPv1ltsWqtNdt0nF{z=3)Z^NaDg8*;#ej{A?*=wRQW>{c-8ZR
z%AJV^x&ooQ(N!E=Co6BHT~h(Z0BO1h2E1@6(MLPjUIO$f^Ka>0Re`)3C4<EqeDHSU
zmh;L{NwA5l)B75y0uQ3-t`kQ2!4dzn?3AArILWb#U(Hv6dJ4z#Y8yeIqrT4K7mo)8
zPx-C)P5bXG@qD#iLV!IJWKb`YhJT&-#z|ULNTp<bKISh1t2^eB1|u@S<ox_{kb^3O
z>Xu3#<`)CKq~k6&TypR~00030{|uLRIMsg~#ci_pOg7iO#x=9Q$EcL*SJI9sDN2Z}
z5;CF`rH~>N3GJec?ibmkD3y^dC6$qt_4EJx`8@CE{haeTuTxo@*icoZ3->3!YBe76
zI33!y-*LS<+OAmdGt$vRTWD96`E~{L@ZMZL=|_dxhyO18EZ0MJp;9xqg(B)^F5bVH
zOvCeJw+DqD`e>gIoH5i^LVr%0@<Of#1S7}3vS=7!Byfh+R#6$B5BAu%WN1REq4fAY
zc0>4GA~zX}s-SFD>}ZO=7QBWYR6U(GgzbT9&0uC#jO%>zJD{MALe2iD{fleCd$F(L
z?~p2jU*$W9q-f*)#aA-*;>PIEDgL&mObta1`K+p~+L*X~Uy7430sGLIa}wt%D3O}q
z$y2M1*Oz|1nDsUViwUjry|y|?6H)moUu{&LQ_eq~V}@(lF<cwU)iH5qkT}z-h2DgH
zO#WZYk=rVsS*}CHniLK#?Ey_heYscUvTT9F1KCkhAyh1XYcpedpn;MnTUg6h0a0#j
z8OwL5SanuZZa<ZV3a<T>yl7x3s5rnhg^JI!_uHqv)sa^b{$67epdD!$>2ReYJiA_D
zORO3^6OH$!ZMMYa3f=n698}aTD2mmGt3a1&=$!IZOZdnR#T`1Q4*I0Zj|O)oWSUhv
zd}LTcvM=qF(R&IiBx3d@Zc~7&h{IUk7fTFBFPCvJQBcgIb>K?O8c1C;_6hB>g!>8Y
zkUn8GJj?D){4Yxy6*BF&zBXE7_xr5XC;3%zH2bk44~qmic1R!ily3>Mp4A~qv&u*k
zvOmsLD1zI6t+zCuS$V&><uX1ifmqgd6{!(~tBm+-E5Z`v^K&f%PZVL~a5*{T6fg7&
zc7Az23;2cXrt8NjKszt)e!3(V?8<+0`{V%!m<L=oxXR<n5f%BEAT~UHrC51+7qGs4
zw~0@}8iY><TO5yN#*55-4|5j@C^`vO#-3b_7S{-?!c$8`$-tV?sEq{l6E4V49+k$-
z-E%j>#{UsM{A_lzi58G<<ctUjlf=V5w=G<rv&7&+nxR9NIi4PS^Q@^@99P2&V!u^R
z6K}Oc-O^Oe;ShM;@w}uM>e^0Kz4|mo817F|<n=Yf;m)Lm{iz~oe{m~+G-is(;hUIt
zt1t!sCc6w*2tx$+vGnpOB9V`gV<ct@rd)4^7`G5Y)HxE<-KU9b5^Xiz$4$U;&h_rp
zr~ugJucjAz%@D5+Z|k~IZH)8D0b&_k{Lo0@PBMHuORSqb&Jm$vjDRCfL&mPW$nE9y
z>fZN{cv5^MwIs#}p(csdHx{^YelNSNI(30ycVrpdG`1F3qT6h|npfe(`?z!#+7j_~
zw_~8;fwhp>y`wMY6Bi^GTJ<b6n9%FF>S%bQA+G(xV5JZjzCU=G_;xolxYAt`wJZ%$
z*>&!<ZU`p^8y&_SlUcBws_ko4Y=Hc7seDy&PHeDkJHh#r75bf4u5Z^GKw*Oy!?=S3
z5&iTBdv>rxVe49w@me2l+sseytl@yXbe{al77i$|{A#p;KFaR7)E9PgKyGe2=aU;3
z9?Yp{x;N+{E79Tpm>4J0DoTqZ#JFL%+FQVGzaEn4G1O5%PB@!*>Xr8JpkSFfn{P}P
zQchlq-)A_%CG@dYu$B+9ezLXQvAUSOy76d0Iv4nyM+dgI2;kx9_N6I`F1&X9@;i5I
z6+CA5@mVhmA|l1=P*Rf)lJw8*q3`0x+g@J>Z*^hhu)N<Y7^s7h?(tdfV>~$N%yzBw
zm<akm+S*i7bdWP9@vt?W7dhRpYfTuUh}sdyE#FH=)_cyyxOqOr+TWhspe2sj&^v<p
z>2xfP5AO;N6+pa9=I^2+2@EIaaV)#i5qO%R$C<R^pPl|gT8>h<->a1OPLB>jsk&Xh
z;X>eO`53PwFN34;r(cZn&@mzO!KLTCFjmubjtjHMf@xd#-PkT|tm9bUL%$`0A7y&H
z9jtPog!YWRFVcok@SQQc22t=<KB*H;lt-1)Or>OjHkz4-202B=!L@a_+NBo?5OwM-
z5HHon$>R<}3jPvEx^w@-(vTvK-TZN<X+#_S`)fSZCM2<YnQecrsxr1ZeD0}|r32*0
zgYGfXh-1B&O*^dugN5<9@jZ03W<HDPFj|du_odFBey55n=Gui#xpb89rZJ{i*5EAV
z@Xs5%6pXL8-?c?R2PZ{0vELe!gR4c3(altKH10e;<a|X3+e_0<`~8u}_owCNhgfLf
zn`FK6RZSQFESAz&O)Eeph3(|U!x|WLyC8Ppt1cGzXRf`?ri53&jE-$7)WpFE`v(3e
zdN@1G?|WNP8FC(xcQ1@<fm7u1!z&s3XfesRsMk_~ILl((F?KpWJuusz`N#nBw9XNA
zYgMd~P0e;XLx=w=!{vWp3}JQ2NtI>08hlv#kKg-9NBnSPJBzFlzRquAAGW7Jqik2T
z8IKNR$E$W^`WxdgZe+Assl)z2Yf-Y44$RVTyD9aWpl9^u)FEjqetq_r<)5cRl2%2U
z+neD>o&C^KD;1BpJii<%pkp+?V%qqvIRchyA~w3w5OpWtaH|F#=8jn@J2VKW$DPVN
z-Asewd|Xoaj1~?a-^H#7K$iYZ_z8ywXiJ3=N6a)45?$gm*8y~N#Abx?Xy6rZSu(#K
z4d1^PK9)ITiJDRIGm@P&oKm%u3jRsKIX!`swJnyoqJG{a;xr9z?UwGZ165HtxbKjo
zniYQedv`tSqGI*C%cuPRD8VP7?%H`5D|}@tJ>V)zMRJN}!cJEO+-weD=!RM0u+}Nd
zUIlejq}QbNew1C&MbQ3?NGll71kT>!p}@(a;h>SS6pqY0R4;m4fmP1Uy!VSL1m|)k
z&EAV5@8{4{JzFajU*oh~dsPK~nbU3eM+A|^dUWY3pB37S8fqzK%0Ncz3H5ny)a@^u
zi+XDblN_;}mR?2p=S_AdNU|ee!miZO+Y&$bPAO$aDIg)qDg6_L37>gK&aW1=M0g*U
zsU=+=^+9Lj?wZdMQ9Zrx&d-2|nDOAp^|E+&&&ZqhZk*WK^yS3vEx_HYT_yJ0W#F;7
ziPP)(52C-`z$>hYz?0<1>azbNk+8sbXJ&stvG%;!^w0`Fq|P$MiPni@VQl~L8s84$
z!KQ$_U-c}|6dv&IEh!4`h_xmC!ykyNyWb4Ac$i~-%_qfxeqp$PtD@5TJ#is%GNCBj
z49z!tl|8hCkn6l5WpJ*Uc;l*Up+01a!V~wC1Z)NHW9Po3Dp%eUYKq!F&Z(PX&zTKx
zG$VP@@mxDr$@l|NO3PO1JGG+24w<qhK5hiNRfN|oe<q&Imssp6H%1P%BI#!@CpO<>
z{7T~LBF;13<$o46h7ei&QErYMqSw_*PPg?EE<)@5)_WQup?u-`hwW@g-WBYg^=E)+
z^`pv1)vtwn>y&}VHx_7pb=5Po8Ya$ODy{a>Sjj2j(_Jplm?4>I&KXlaLU_*oDH^$E
zh*Rs#WKTS0g37t*=5I%S6LAk{YVQ{f5a}E*&cs+I+HNntP7)g@u<%BW-O~WtX1)1M
zK1;;4wOqZcxF(6l$5uw(z4~AY?Ohe)w@5_KoO{;AJw=q8%3qw{tq<Luhr;yB7l==9
zFZ{eCH$&8TwW{3spa=7v(S51*D>)h-f33uJj#wA?fkk_V9z+TPTGuHr5M3imBU@tU
z2@PpgCB`RRF#o-|B}{jLh%n6S5E@z}G`d2|2q#?}>khNo9=t&8<DVZ@p)=tI-`9}G
zKXhQ#bVk8{Zh>%lYp&TH%8ZUc`+lJy9dI6sW*m65NaS(!oUj{Y!DiX<S6;k25Wb&i
zC!4ZF1gMSgv2bR?%h&5FKi{R}*3a@oeuc|~L`|J%*)%&$*BeG2B<RS~&1&tAWWu@N
z;qPquoG|aEoUwhQjp;zQlK~r<;V0~P_(Iq!tkIC$kiwx2W$C5vI&~J9TUF=$4(7qS
zZT6`Gd$iE<uvdCWl@*1T+O1co^WnnM-4ANdHDMBFa7E6F4YX0Zv-)oV93D=*=r5^>
zqyMg55DQ_)-;B4Ho~;!^tr2a*vltCrJ)w5-eme)Uzb-jY5`{4sy=SS2O#_LyKChqM
z%LOtl%(9V36hcl^x2u<F*i+p8!<}ixw}+^w+3tzq!K{JqS!EiIOHXf4eaC}Wk|n+t
zP7+Y9Xt$iGr=m8dFW0f24>udeD*Mf(u%*iO&9n1V5Kok!6iy1@^}{E*)>bm;lU5UH
z+(Jdsqq9>-)P(Snzb7@yTNay~SmSfFsF0YwvE_u<%6<(V<DqqOXpMH+B0!;{y^~oj
z?t=)<O?gdiR8zo(4zkJ0oQj>f+e>%u6vMUAN&&MlMLa*$Xfy3Yh5hXKGvjG-d~h_O
zomu%0D=ZILI<4&KJ?~lWQzVH$t5_yC`>Eir4s#yejt2gB;S2pYrSY-Nxj>aq4cuAQ
z2k*?$@YBz!ZZ>T-Qpaj<`4&;|qOa!PhE5GgPye|SP`L*F7f$}(;Y9_VD;lEHn)rI<
zNb=oCc_dm@KiZ|O0an{H0vy}4(JEgno?55?0ZotVdSjaKztx@O7eEJ%dux8%lp=O@
zeTk3D)yC;~|AvX<Iv6Xwvi}vK3_}I}-7YzFux#PB3b>#Pik9%Pf&>*r7t781AJu{A
zy58R$E1dRc?%go^pehd8?ztQ#po^G+Q-ijK29SMIDE3E>0{c<PiPtxD@uvLJF|is$
zYz)y`?-ryE*;&ql_7!fs8tJaf9b|-L$N$uJ7EqyM*V@n{p$D4)o!f@%OyFo5yRWvA
zhEo2yf3+-n$e`rYXB5ofT-3|6xljYa={c7}^L3$KPaTzHwSdm<qKlrvD>?TeY*hol
zE($#Rh}|6o8U;_<?dR0O*X1ALGMYMwf7|0N+Xz&y_EEU8QwzeM^r*}$T$O7tU6Y+;
ziK8JZb;$>{Fc3C$>Bu3?6<&{1d$rCA9IryGjw@;*=>+ox%N{CjoDutY_k$HO8JR;1
zX__#46%lezR1L1vMviG_)`&2%6gFtnKrg$3O28{6v<J2t@rGK%r(We|WfKh&MC3=_
z!}54FE59xNmNnGYZ_dk$r{dk9l*?upY2<09hnHNpMu(k$X{xe1qU^RE-{&ogk!z2`
zvQJvW)+V-pZL%78*s9JQrtl*@>(|6KEo+2cvfl49p@Lth-%0!;*`RKc>o3=Ch12J{
z3*w=S#_ru+A*bdDyMN#BIQUsX^lI|XU6&L=J5wy?MgL9=n)0!guvuYp-4#3jPI++M
zR4<m!c|n}ZryljZVu=jt`O*J8S9BP*ul!zf7vt$iY$jK7Ga-ReXTCuOClpvD)OP%2
z<O$}x*rWokx*^&8n<Zgu-jwzA&;(=0dL7etdBFSm-sFAZD?Sp&uCxbJ3>!_O4Oe#%
z$eWN_JToE;4$})0td%p2j)CVIb;m7`n`U1(5+jIP3$%NCf6X#hKYI6Z!zFXLa9mE;
ze$5NFuBZ1!4$d)5M{EZDpP8Zblfv7`S}y!}`aI{!`Z<PI@II>}eWp;Z5}uAVWrs(`
zQL0$OEJLovXUnjJDZba;t$D=D0^jD5+q%573>#(2hetb2koEV@amnLLgn@@edaKe5
zqqF&+%z;#63|O~ThB(a;vw`bbJXNO|`JtNru|r1SxE^ZkIP{k=+~&7?R%wdS@KWM>
ztDzArUXF`j8XqI%pULFrQ~omc_2>3|xx5xj-+ob!jEoS%p3Dse=97#R&fd~>BZkO}
z5j&|+JxCl5UP^x8KEaUwFtEPC&Jf#Pt{3wz?j|ZXeAhhibewU+LES<5nE{&LF?RdX
z+X(&G=ID8eaYmAoOQ(pe0s5tPR5wJ`5loxkD5u^TV{jaKpzIo_k3XU@!|`e_iKZy_
zF29XqjOX!R28NdP;2NaDx^C<SV|z<Yt)BQ8qqp6Dk5_;mzN~TL8$4XbxT$r;U5;an
zVe9W3-Z`O*($S1tLXmY0Bcaq6c2Z-E2ZIwQSDn(uTjApy-CwpaTr&=|7XLTK$kOh5
z-1%1r^3Sell-PY@xUxjd1wI&K@P4W8S$jqYwN?ISw%_VtwCBc_JX0NKXnu^_#=)+G
zU=#PapjX|DZz+C5)ivXc@F#1Ub*|Cz?e#C!zI}a++A5JThszTThb4*N`-*g|lM(Ee
zw;x~_DqR0$8#u{`4pt6+ctRVy7wSiUZX9B0EUK*<iv7z_AmdUFrD|cHn7CWf#$iT2
zO;@y`a*8oD796#!Srg<s52o9DelS?XcLcLiW*8TWRc`xpX`)PPS;sfzC*$vt6bk$6
zS;ppWt)7>*8Zi39JT~#>7lWpI;B#rvKZc&|d=6hc4L3`ir3Zz^7^NIR$=5v>7{-x?
z;paN3IJ~*nbkE*#MuNqi*Jo0e7_RlPwn8g;^gXIdapUU=#&wtJ8v&tAWWB?~kT22d
zIB%kJZIi)Y2CMZW8uJHclC6H%ukj%Y{DlkyR<}$s3iD@-UTkC~rN3!Cjj^L(wyoE>
zFky!A^cj;7;~N{v9zApWbCDXZKNe`R51eD{o=8Y}@Q{O4FZR&Tps7LIWqDI@+&m+{
z6_b0jxX2UBvfLxts$go>ImX|*$S7W4UnE(_P42zWVi!+QMTF~j6{;E&`CLB8;<_py
zS^Mx$<m=}u$T_;_XlMj88ITfjs-Gc13YNHjq}i(A$={$}8D>^;wcaERTZG6rlS|^C
zz9~bqVtjJPT{bdy?4yKQw=g*+ALsEkK^fDw3ej&oImohu%ZDp(h>~@b0j-=3%7`}l
zo^0sKMe0X?;oK7-PWmT1J?`OE#_Mf-pE@pblNSz&7+FS3l08OulCJhEf#ZpTE%!HG
zaz0GzYhRT#*}QCHMr%-lvW-5cW3T}E(nz==##okYlrAf|UZ;eJH6B%VszT(x)Lr^^
zgL34Tj>yZFeM$(;lXY%*B1~p~EXzFRsz92BuII85S4Iwf;})rdqU77v4tHYyDw5ZF
zgPuBjuIwYitA0^WoLn0AyZSFnne?}xjh7o$#=U&a5DU5_nfHLh)YnUul(sxu^d&_F
zTbtdtE$ose-*`FbrthJUy^}dpMZu~#9sc3>LhfqvvGd=`xBIDNSMQO5r#IE`=f3_}
zfvOz2YmQRv>Zd`ng!ex>w6wwtKQjFv4a<|WR?kyj-_jy&w+xRqKBcbo;URUOZHlBR
z+qjpUE1i@iDusWQY9OyT?)~)!CDQW9`~F-0I%MDr|6DPOHWaIS<a>6ikhuxfn<yc=
zq)qExCiX=-f^_)ob4OH3C%3kc5>Gu+>CDR@_glKS$m+54UIc~QA~2P7!Aze#@aBpR
z)k_~2Sc?-%C8=a^oPY41E`3tSgLH8^ZHSs}=TC8F&`A2}Os-9Y0V$njZx(jn2s>n|
z=STT8Np<ehmfqb4WOi^6KL0a8jH8BQ^iD0Zb(3RHh_nIeI^bLdXLA_UZVk6|*Cy`<
z=W+9d>XVbu{uTR{K=vii-~m}W=_9NenSNf6Y<R#w%;2&_DD#KG7-u@Ec<R1>DMgoj
zL@7MjC1C|~_q-F00d&%7@zccTGjvjVX=Jk>n>99R@F+i8nGgSc^<jaOCb|3}{*88(
zHFjTh@!ug$Cv7T}GS~(v<m)G!CU5Srft%zo<G^NZl3I~|@@S+o$xc{adskqCE|IyL
zZw0i-wMw6pjkV;-$vD=<j20W1kA(Yviq#<PUpA|$OGuJGx^6sFtF{40ynU>8EtSl2
zKj@$tB1mR0?ui*ouz}xp`tQzm3OUA_l06^9O1fKI)|xQ3L3>ZRrfRb)Iq~yWty<6@
z#sQ5?o0vLlyvW*?mH1qlq`#VE4*J$e=zq9%HGP9M2F!KUl#><7!1YNS=9naua@tNP
zlvttf9vRgcAx|z;N1sRtT_*Vc?r3_UZUwqT*TdE9vSgXle-)mGR(ilg<~P~NmbjK-
z<XopGMG9ZYuwkj-#J#pQIkuHMi<fHjvZaZUs|`}K<RrN<BkumO^(>H<zhUgsdSNm`
z_+3OwDi5T53faPb6WH8#zscH-pKKiJX^acv#kG@iw~GE);KK6*-)*b8$nr<cp0~Ss
zk>j%4JYmrs^Sh3%)yQKdNB9y~b&m3aqBxrPM#3B~5>;moOD-`Ok>#XOIWGjQoBw2)
zo8iW9AvMRkDaL8u$y*d(UcCHTkmGyO6#wqYvexB|GQ>qs$sZKs#n;5&6MG++z+0nB
z_}aa0M#RDN%BzJu@IO}N75U2;$IjL9xp9{;*3CvqQV;P!@=pD{j)^h&h01q%p@}%K
z<;t#a@;o?dPTgK~#R!rI*98Cj-b;Lwuj4&3#|{6ZWpd#oYmsG`Zr5_<2O*Qa&Fc0T
zH>!P>mqfO##r2LEy_?U*2vI4f3+CKBcv0j=<0&+R`<iKqiuHeq=Sm5zt2XjL<#O&z
zaTP-hobZ|QO`IWA<6gWLdd!1X?%ssCn+EvL#6(&4{y##i+<|Y(oEI@HCY2XN4X}&a
z>@E_&NVIV>&T`K1;$xY4@4f5#NZ!=0-AZGEFJrHEU?(5q$A){Yr1eo4kgqHj%?$sC
z0p%w~`7!T1?&6ZIhmkuTwO2b?P#SD)a!E`OC5i<b`3&_C%-+IK(P4uTMf|gKqae;I
z5FeZyb-`UW5VQ9ZI~H~ZnR?$6f_ZJ&e8e$b?9gQnIq{nVrfhjeF%iPZliO<dkXskE
zeWBdWPF%PobAH{GC=rz9I?XFS*TIIg4=v0+t8l!HG!DrU#kHUJJk1X2fWmxn&tG32
zxU)sIxpa!5U$kpQ2Rc~pu3;;b=Y#Xu^F9Y13GCl+eopce9n5#~`E$PW<F^JS<y5vL
ziiL~yCvMTfal|kx;;10P&ejez8%g7FMbCi@4?1|#?EecrE(DR)O+Su|%0MU5vwF;m
zj;?64$=YyXu%%1UxyogcD()!tUWJYlWBI?$`64K4kGy4BBnQLIj4zu->3F=|?A6eS
zC|KUQ8>J1)L$Po0+)V*GO1Ex(YXNb5>r5!OWm81^Ki7|ZQgrxhvVQI=kig<uM-K@d
zCD7T}SE=dJ(Z7GuCsIcWr#7)majxXen*r&ur~`DQ#!MZ`ZI*`8*N&mELKXZAe~~<L
zlaBh*%*pMMt6_5fNsA$m8k}Tm*J+H>u@v_CDx3WpEDCP=xpb6*&o|f@8as6m@q9RH
ztBgFl6>nEPtW`&X=;O?)Pda#(Xc{OksQ`9wb?Zqr8dx+k?mk-Ky>gB1**|0z5py(9
z&LUI;f&QJZ_fz%2%w6nOPgTNyJi1y1)td0Klzq{<qzAIo=sy`VWpKr2*6~kiq4F+o
zMc|k|&NWd)61J+q#<-n{gNcrsczZ_sk^%Y*d25xOR6*({-O)Ws#|y!wRi2c!h;A%;
zx5iBkrIq(>4H$ID8r&Um^f1DP@4mCrE)-n6613{SUv!+SiS9p08pE9B1E0o5b!_He
zPqmt)V{cjQbc(VmHdr<Y@=8)6zU|)U`bIj8>?Okr;?3|-!^GRUhKiFd6SJ#V`t$v)
zq3wTW&7q|=ImW-8hHSq}29Nr+(U9^eqiz?0jP~R8X^&~3SZ4ou6r=?Y|G?$U|A6{!
zr`(ddX>d*$$Sp6{Kw2vg@4i96N%-R5o(>uUJs)$kJ);7)3uPupED<a9$C=|U4a+6>
z(gM9GFq3T0t8cbM<%6TI53i-+W0T##UUpR+)^IA#Ut<Mt<;^K7sZ=bdtL?LkRYE*R
z`*w22N<Yn<(bjyY4$D7%k}-S=IF?>6u65E1W&Ac{O`Q~ER{xL-*(i%gP5VX&FDulu
z3U2VNR)eqMNI`n3BxbH<eAe7+h5H)v#YRc0`1VS~hlmr!W~bGKZCX|+^iEd}vsXdm
z-JGfiwSuT<{`A*t(h|%OvR(-+%6OkU@~3W!8<A7_QJeBCF;H!@$>yOV3daZ?K|6L-
zo>*0puxn*LxLdkuj{^Fdo~gaN#DuE%{;^8)0GYo{_7b-|EZ>H0PuV#~Bzn|73Sa4!
zTO-PoCN9f@{4F&xL7gPJIZwyGF$9cXHjnI3l7Ypq`5!;Oj1spPe*`%15|BHW5Sq~;
ziNzE{LDu#mqMD!d)cIn8;Edxo*+t^$_lu8uGv7<dZR#o<;J1L2Ph(?MsVHb)FX{gM
z)JYf_u1^TEHHYQr1Lt*q3M2VNbbH0~FNEh;1M8kBGZegt&62Vf!v4Ok1=%cLh>11M
znfW!Qm`aLkue%_Cvl1JVnm4r*(P^yuhWw_O{W-?-<_j;5@+)bRDqY0(-3`tU_L?9e
z*L~vcX>MHER_CfM*Gq(a9eyO3XN(+Xx8}KhTsT5uje2{(pD6VSNISf21mjD!pQR%?
z(9~rhV{&zf$ovzRdU>xAYHUqbmyEK(q4~A(nd<L^!E>%hzOUBee*gdg|Njh^cRbba
z8^-PIz4zug#&I|{pUX<L6iTJYYG{|QB%?G)Bt=q5QAUaek$yfO4I@fPA(ELDQKHPB
zfA81x$NgN-bKlqXrg5x4vOAd*g1_#@jhg=;1h~Zg{wkP*2FK^kyE!nUQHA_3KMA`=
zBlm?^Gc>{OTw54Bq=T=`cYmB9pgY{LYn+A13$d4PJZ3`}V{v2a+uy{E4VQJ)x3i#8
z9@dv8&xV<h#PTm+{t!mw%zd%Xrm%b8RZR0(B+TmR`W3U&#EXTGIofMYaoywHgZPRC
zqCZhf#*H~c1n7$}JsM2l$8+}2&Rq*cNLYEH;fXoojK9u}#MLHHk225C_Ff=nw_ZL}
zGqOOe{-AvNeG?OQ4N}jVPcIOOXWswjtzbifprww24-=iK(?8dZEf8hB#agSxIZ%Be
zrSjmAF-jY~JG7G*iQX>)uFNP-logC}bRILtn@YK?Wh^$7&et?Vuyf;<zG1_DQDgL$
zKhG`u9~;zr>N?bJ^59@l%{SWu2FL)qu)aS#JV%uWJU8<~Eb{hf@CpV}>U!u;)j6On
z{dpw9j33_$^-pVkHp0Uui~r3nazMA|rHZM!AUf7v-8Z0Vgu(Wr+~FBcXmeNjy88)3
zH6^w>InoeZJj=SCN^;}smc!#Cn?(^>o@!CiWq`Y`_8vWJc+k>SSH_+xhO0*vuBfdw
zKxPqjNB`b37`kTIU7r<4VnDh5ojQF~L>r#FM(0Bho6#P&|0H4ZXVoUpb^3U9*LUlo
zCVsS!YKujSNJHeG-`fKNbeybjxMp};5G^JbZ-u;(0oNk;ild2iv}E7SJ#j-Aw7<)h
zMDpdZT4VC3zB3&KzSre)0z_f$qs5nYUjdxI_Vs0o(qTaVU_)FKgF9!j;omkTJUD&T
z-0YVgJ{A5^k!=&l;q5f{A2O==ZKl8Y{D&U)<s?3QXd{W_1MND7-fB1%biR2fCmm~+
z50H`nlLFiB$%ixd)xn{3u%^e7j!Dn?Q*V4^aM0D65|z_LoFIqSs>^hoPKjr`ryz${
zEvaSa)3q>pB{PVS(Z?IJaf7xQdBi-i%rDc^0k=}&o$4BWJYav#yf~wX4DOKH<_2AC
zkMXT@yJr9`qkz^xc@?Y|{&lJCm>%xc4#pm+F+|*^toYbMRh-OZ^D#5h$4J+(-h?Ov
z)|{7wdB3PZtLh9c_88#JO#C^vE(Y|99}It$(7>4z@08>OBe<mOakc(v45sCi-t`+b
zq5ORz(&qvL|8^dJ<?(}wi;F6(S6N!%XwfP*cQHoyLFGCQeN*iA<n4(a(Z>73v!dz!
z#z=o;HIaRhg>#4Mb?c0E@qn%^walN1M_(WRXplF@y46+LkM_{8_kf_^tH(?<C-(3E
z@xlViN*N;CFYBT0r@y-I()`2}JT2jfwZhg8qkcvf9p`R5k_j(m;-0{eMf^G&)T*r8
zFMU=Yd27EO$==L_l8(6hO?5k{?r%J;00Y$8?^LyVZj9N9L&*t)1lIof^L_e-0TyTG
z`eiy8pmj@KaeD)_8WpT6<u$~u4AG}kkxT#nRlm5zd3)S(h>Kq@Xow4oE}YX}^l^Xg
z!C^iV2e|&`GqtKWz)60JKKq@9!!`%^4VODWG48GTHD?24T-Q_HU#Sg+Wcq(la>SVB
z$-qNV`j83pZ>Wpbz{{0+C3m+t;^gt%&<zoEq=l(Y*R4>+DLFNcx==?%C{st5IqAW~
z?Tqcz4tWUmt_acG=LpfSLwz5+b&+?!UWL3biQqY(r|BykVIvXPIkZg&|4k896sHI*
zb{2T`@Hs+kZM@aJ*ILlCynm)<lp8j)Ts4wU9dN9myGUA96MgIZ0vguN5j1vTZ(T13
ztP_!8UmvE9+2w28n5ARHJNq8ayMy-dsg>#5^idU=A<eHI_<kf#X)3rK3AIPsz{at{
zP-X0VpKENHQcp^S@5rlK0Avn2X($IP!1N<4I4H4~ys^P$j{7WdTGk`tN3<+-UlVNO
ztv|@ic0AG&q5wTgH}ib06u2K;SYMPsLH>SWHo4i1K-|ctl(mi$V3!{%lAwN*n_gQ!
zTf5#4eM2GIWfP*X$&+m18<`{nJXWlqJz|TF^0m)y<qF|Xn%YG1wm;--yGUzurVTEg
z;OzVNo)2Y-7ut$k{*ala@1tiLt<f*86mxP54}QAzBC39pJnbK$;LdA}MYD?>%N#gS
zdbBQMns<_9)4#`^=3)i9r-o2;6dRUD240tt`%Qjpu1XJ2v_w05jCQ@`9I>lhHvOK+
zFY@><m+-7M3kc{&=g<9bns~Cq{JYKEIN4<EIb1}yz?!_UlQJW}iF==EQ?{RelA`<T
zEZ4=FBV?=D_*l|75r6zlxO>egY4Yias%e)Q&LoE#S6Yq`H<+s!(d{GTt39i$L>$bp
zZPtfAEcTr+wLQAAM1Gh|@=2|^oyWpoKRZLw<ZeQ?GI_Y^+#so#T(bB`f`z%{=`MMq
zod~E_6ZSV6Aaz1k76`_gBBqE|@?&!|k#TvyvLXL>vQl=(;}cUR5Y<Ujce>p`IOs<y
zQ40N}%FxQe!M!H9DytAK&HaLyoBXc%Dxi<tF!j$$X^08G#Mf)AS3M-Ee|=rPrMs7O
zT3Dqpzk>-j^$i8q<$**>&cK4trCzdoK6`N2urZ?g_&$iAEhOLiN3bOv?In-w7d`HB
zz!=4*)Yhw11u1ECzO(#7FPVHNxGv%!1Fm7h;hlo7NLof}>3B;o8RGr&^4Mtx+Ik*F
z_14spiKW*oPq_Dy=|}r4<E0oFq&VfG4I9aS5v}e@|N6+B-Fe)5-Hjl$z?pK=potuh
zXKU*E&`)*-?Ui{QVF)QhUW1ZH&1Ct>@^t_9?<9}vP{5x;1B7f-6KXMTAshFKzpaoS
zBy(4E%D4CG<K5+^cgiJgWE3||_~Pjy@^yG+zn7{$I=P=5(p}y`2Jo$qm)9F1eW$zT
zUHs|L$$mDjI@U?fnEw&gUp7i|EHm{?%hyBTNaywGFI}XL0(-u#>Q7QX)2Uu}iUzji
znUe+{J>=Ij+d`i`A1B2>c%2@0p+S%>VMMmCmwagxU)v(^i~KxJbA6Mk3;NcWRjibL
zGFQ~N%q8YG`QLQ~_KF!DtkTZa*7P4BkGTc$Iw}1jS2_`!o@~*<^YA3;O79`kQwIWJ
z-=|3WV%*8cRZDxktfE;XVua*xwOYm1^_N^c5u*NFUmI3wUp6$p8zt|L@3Bb{o+YPN
zs~v5-u7yL1Y*|hE<0Qw4r`?`m^W@?7Z!c8DwXl!863BURf^=N&PYH^$QD6D*PTfDR
ziQYs){gBLW^2w}ZTK-vfD(0ol`yxS2u$1U}gD)q^b_YXVNo`K*2o>Vvm!bh~+RKUf
zj485Xh4l^MCl_^ZGLT<LSpzvX@_V~){w22!I$NC`;Gr&B@(0TmtD{y>=-FWF47pGB
z@B7CRd=&ZR&oxe0b+mrkz96}Bp4`H{%%3A%fGSVq`?+gK4UIve&fDh}$(<WZD|D5F
zsm{m?tHn~(ut(7HOkp@X#o6gBsvj##WgYak8g*0y-%bIJiwd07)qC4EWh#kNrRs`K
zG&VKR0!#E?3~*7=Kc@wbcS}&OFBH0()~e!ie}>D^9v<po_u$QQO;Qx;l=<fE4ONUa
zzo~;LALSVK*0Fq2hT3WE7%dg6if1p#thrDDDyt*JO=OikrFGmb@WwG!)J{0<{~{|)
z`TX9VcCkZ|+IEb!BI>LvE@?hX(~1_Qrux*_6bn?S;Ms;p`|hh^%I3eb(^BHpT&82V
zl#d#vGvaoqeOwhUCX5y;K1xvXgSs1Pxil!d(?wbw8`WU<s8E@xkfN$9i+A$A*Q7WK
zT}qaHSA%9?%oVjp8OpHwl-bz-v?=-1rrE-G)RD)z;_?GAd8&W*ywj1ly41#vvhnuU
zHPE!km6Ux-k$Ur5*hOegk9xLAPrk8P6S=m51_Qb(RAJg0drfBp>gxXd+6HfJY}z0i
zD7~mk9gopE9(T)#GU7b(@i$W!zoYU_+n-RUuKs8f4dyhaOukqq()Q`$$K_cJ$ZAq<
zgGwXoOqf(?n~mHHNdp+9#%X4}(4wgQ&xIKqO{ldiA^22=fr5$2Kq6d++HUt#!6U$w
ziq#7j@9#ForHLJ*)hrq{(kqkm)|Ew_^RO#$8!~~^B_ofiF+D0O$(ZV#VNsi8O;>)_
zGsE(>j+Ne5^(oePp>tD^8O7J8`iA?a1uoZ?DhKHpQtrH*kAjYwQCSIx#*{3r;r;z^
z=5)LfWm1`SEML!z8ait)*ZJKR121LL61^Fe_3d5$MtfP5dFz76@fCo${#)<#Y6fM-
z=siIrOsU$(EiFWnJvbi^RM2>hsrf6>8)ok?DW#cO_54x?1jGza56Bo(8?9EPRTMF(
zj#6FO^e2w+q^I_k{$fz>M!ODY_vuq!N=A1hBAu`^SB0sa&Y&FpIxqQ)>r%=aJSTGa
zoss&9el3}wL0uf)%w?vjL5Vo~gKe`j{&XHxs=Z-I+4+9jvE{BJbwoY(IR8FpObw2c
z)~))~?M}s)**7Jq?A?(MMOQmR$=B+q-X}fk``%N3&;8}0UV2B~`?KhTxa^No`|j#e
z{)V4TzhzC3*Bs1FHYPh^)UD=E##U|0>7cUDaB(Z)KVVUv%jbksF^^97@M}^BVxB$g
zKKqX_v3icA!;UDtGorQnxf=C0Cbjk4b}p>?FV0E$vje#9-*3sAQKok9^^}{`<3|Fs
zRD0gc0jT5Ob>+T1wVBco^A8e+uu*N!xeR-Fg(+U+%9N(+?E>9P?up{#W{&=&oc3ti
zcX6vkvpD6Xn6`1~mKb8@a^r&z1KKOUYMJE;Q;#l>ce|R1!#S(8SLZW<jp^-oC_7&2
z&~)AB*Wu#eRf?$E_Q?)8xlH@`T^!W=yB~P86U4Ejy>5`b&lcBw+z*_0o*|RY-T$+4
z>HPQ2N^!>Qwt$)PzKyTO$+DRFPdC<!<GF5R-DkQDq;HOT%7=B4shvY)thzYdirDMw
z{jH(9F(xUo;5O-lVA1{wF-W&X^-ktkp>0t9uB&7lkun>8<9dx4+QOx`t(~yM<FhVi
zyq^XM9<y!7zvYQxc+Z2!f0tXL^}*lQJ0~WHqgvHksaM6|$bU=9_>KkYf^z=1=I0cV
z(^hum)^#z|H#6C`2w1?SW+XrF=q$k!IMbl^L=4(%jadJVnuGs9<Da`(i$uo4*7?kC
zF<j}HXDb{v1K)|Xg_P&)5d7W}!_pSVo>=*<hP%wbcxL;~E1nZ`rsk(hPKrZt`Sc2p
z5f%zHWd_XcxFNZvSMd4tlAal<=QxkB(00ONpIHwNelZJ~)u$z}ec8~cH75%qrwkd-
zB6#s|H1PmoAc@Bb2l)iAn!?1$JtSL{AJ>l7TuB&{g#7-XQ>iRdlsEUYZMZ7{gSs0F
zf^VcSxNM+Vpv?qbJl>wK?S=4a%@cbaN*XEG0(U)$HNmgoEFyY97)N}%KiYkeLDWTY
z!vU5F-fh|W_RDHfY&qi{Rx&S(e7~@*BI8VGr(B#+Hx`4+s`4AX&hl{h7amvmhzY&Q
z88=@Qah#JQQiKZ>kdjzj=@G?5M7-MwLtX-7v=>%e^prrhxI8QNU?R9(;h4CFB;<O3
z>;11<8L5J+N6wfqafk7OvB6pj2Yfod9w1aveq7M>kunn>JT`n%3zSBquHIe&ni`5m
z+!b`Bnc!wWer#u^3?7!|7Nn`DWAb(q?Uy_gE?FA&-NUl53zS?*SJ%K?Lb-&QArrb!
z6N(pH<-wJkx)^1oiLWox9CX()A$6$JsJ%h~^Qduabk@R`j?2aZr<v$vI~!&IC0w72
zQmgl0$_-ENiD=g|abV*oJLYF)m=qogIUcJ6-y#NAxuyvoj>qg-X}9Eimv?fT<mjTP
zCNFw4#RN}R9BM0;Rl~IP&kKhs8p15>lwU|Mai#hJ<I%rr7>%418Ew+TiDaSfiDFau
zjy#RD{Hl(Hy4wojpXk_QT>JC$b{0Y#Izl(U)BvsXT&rG{KDvnF5?7iTg6DtGGx9Vc
ze&)N?!6XAb{#(Z##bb_a`Fr=P<F)X^vntY^Wr%-gw*2jyHphdIml5Ux+SoF%cX!Es
zL+HH=UpYHt0UyoS!ghuZlJl}+dwv=sKW&(2tDqIKgQ6_gkLh6ch|aO!lZFUsiz>dN
zV~wg)g^og3bRkgns&wB|L#W%mp|5hWLEig)OT<7!&F@RSEhdJDI$^2i9%PHuRPwr4
zIt|xKlpUG73^4f9e8Z1pcBuKrTYP_zhTG58(|kAS!^yLw-S`9n|7CHPHc9HCi#l@J
zm5+|UZ!;!}EP&cW?6)Q5^zbhDV^(bp4fKX<@_Dy`fBin55C72MeZ1z8(;FS|HK}!v
z%>qFUwAZWx8Y<55OiTXK!kMRn`qv%omvmKY={2X}Y{87jLvBqZKiTD-xWs*$pJZ;*
zZ|R~-J0<$9xH>dK^v(BOw#R06KmYh49Z*hVY{#@!5w=(GX3<T1=zCuqUoWMD`G>7;
zb?J(*xzjVhH{Bk$4!ZP*)3jl0MPsBX%E7g`{OGC}dng!v)N`e4A)1XhXWf7l_C9)T
z?Y7AthE{?78cW=2L7EN{oDzsl2|jy8%O1P-8}+*hX&`3U>MHF&Q852&<la93IETNq
zD4bTq&Ztuh6|sWI_vP3#l?5zXC)8H<sv<pBzO1^A7psq~c&+0Js0#!<ZZ1%P+OCCx
z!=>CfnQrC#k^@*?Scs{cO33Y3Z8Epxge>pft0_JNr0oub*%d0_Mq&0&FAsJM?9lo=
zQDg^!b`9m$k8)5r8S2XOZjmSx)AYz^x5G?*a6yxtEZ7S^M&E6oCvtCTjk|l;;?wHF
zej-L1&Erp)RX64cxuJ&~8h33l)K`<|#Vdv4F`4f3!gIuH^TYtbS!;CuuXZZ=kp#Hi
zK1j4I)uZ(4o>r{4Mi--Oe`}OD`a~mtc*M^UUL3o1i|$(?eC3YE*Y}9w>5rrXWg+v#
zz8t|Nh_FJkes<HJW1`sf_WXwjcNYl%NEz$<`z*nkll|b>IuW!-JiXN_%?9UIfd;it
z7RdZL`k(8N5K3dVWbK}1gJIT_ozDpiXmpoWCO;EI08>D$zY`_C!DXHubrU<zU3y>+
z4$UJwqh1KW<U_7ZnH(o1JDxg~tC^#mVe)Rx!jezB-f@~*!-a!}e<kg%n&J0Rqt|{R
z{3zelo-TBq8^08$1WlyO@Z4pN!+9A$xJR#kq1cwe>VrZ2y;K$=*RoxzYvhBG`#Xz+
zk-V^%nY>yl&q6q>Y=QkHAHq1Nf_NqP@f^xTT#hNO>TG?s>Kh*f6t=teFZI=xI-8_t
zVv1!4<UBWM@S~4`nKwy7(94-=e^+gST3ho*`6PZE*HXRq;iw3fv(F9O^)<otkErN=
zWdT@xzvWg~C5jxk?~Ji|CK5s_ve$kRz>rKt<MCE8#9FQN9l6DX{TsU>+lPYiwov(H
z%OQc&%!IEKE1A$aYctyMNC?R+H@5&t;$U{_wSYNej7&bMxc)^LTh^Xo+jUtA^S7GW
z9zQn5^Z})7sgj})I4@>czbK8ms@wcQhm5h(KImF$qbSntHlCf0l|>TY!HW`>#$b^1
zQr0)cz~aC4%u`(+B|=>J`+1EKYcn@g87q!A(~2GZ9SUIG^Wk;sW?))4=EG2=1auA<
z(PSSf!LNSPmatb0=)Nq<*^wlP*;@>Mtvf0xZ8u*p{Fs4H7vjHkmPp}qLVHB%7gZRf
zDH$6)VBi`1){(wRX(;;f(pOEW;ZpIY1lgwy%%15n9$zVo5|e)4dMOP|SY|vkZDfF8
zTll`bLJnnLO3Te$G~w!*carlj14%CbI))t-miU`q$aYE#;w@=LDkjEA;MrJuqDK+`
znXkwgt<y$citJ|QNn<phIu>JjRT=CT9hXl^=|Zn8bNk45W4sb@nrLRK;=^vG-O7P9
z?9~^(Iqc8GET@-Uo4Oi!q^ae5iuB+jwAa62dg&e2dYb79>UjCmPL-UX<1LSZfZtsc
ztUF-Q&?u*YKbBP;jT#1cWvIyadA}*1N>r}4RMdnI%U8w1))1n*4(}#BSzzk6y4kB}
zA><}&{IaPLe!LHT$Kzp!IpT?tii$SEbGLr0TQtJq^_1cD-R6j!w)6{;(LrbHavqi&
z1NW@AR4q@pKw*MUumPto%J>f^X&zy~<1z;uN2?`%)@cO(?a)PX36Ga-I0N$9gIfDE
ztuf7g`+&?%8lu(W3O0H%Knm`;-tnIez7=D<&QTAAD$4p{JPaJT>SG;UV+*b)$*&S$
zFV$C7Egq6Ff>c6q(*J}A#NIrcc}Rs0{^}0X`wa#V@Th&eK@}K|*LB{%nvTQ!gfdws
z`iR%$^ZR&jDaMwEv=^<S<4GN#>Rm5Av=s4s?qAx^I_DA}epH}?BdN)a$3YiOHded~
z@%C7L-OXFPLJu#VQ6(+B+6b*Y<m}vHj}!I7#~t+b@MXI;M_0v?-sQS(DuND3QCyIy
zIz+>vN*%v1d(?1^v+`z)t^<NEynk$cNf*Mb(6tfX%6QkkY`MRI1FFB>sSdoP12GTR
z;}N3rVBM7SN>y~gs=XceGQzd7VLRiggRC@G7WjF@{k6v<l~ZX6tF&-eVQg+NS{yAs
z=aZMcvPYz&wa_<lO$=ARJ!XGf81toN<7_AG(HGF%Jkq3&;jpJ;87h3(k#m3TI+i_F
z*O~-IrKn+p8?(7DlnV^{yQa)8;7BB=&%-4FFI}k@NV~>{SdpNwIJ1N)Th3j7;Gztb
z51vo1a?TRDBeA}wy1<$}SL_C66p#_>Lod*uB0ANWil)f~crrRCq8j8-@^!OF#kpUE
z_NKn|VejmaQP85epOQiTY2Hu7$WLN<{2dlu$Zly5D%tzCNujnqlf_E>LHHzDta-iK
z7SST7oSS4N(KSD~#_#bkv2tUcxcfyLl(5UTdoA6ccA%j5hvG1?#@PGOiB@Y^OgfDh
z3yOgw!~g3<@-X3@y3^vlhBZ$4y>(KK5kab=<F~BN5u!A`BK+iGE5xok{&g)w2<Gnf
z^#Wf<iF1BJFaK9#iQ@dt{4cZxaN>sD3J=ye@hH_UE?LzQzWHOiExvrXbm=i`UFifd
zb3!X}Cei|XR=wC?-m(mDJ#D8IcKjwZ8`2YheKSW4*NUo>=Xk*SUbTFh_(P0XUeXC!
zZjN7klL0<QxG`X0Oom!d6Vky+c3uz7Fg4wN=gLJcY)+*8)86op$YP%Ny{&47UBCH5
zsZLIi8!Bd3C(ROfCVnX{zs$nA_uGaGyg5;3vHeL_?>wPBWyx<Y$O7-NkHyF5I1q2g
zu#cm&Au_@1(Ed169O+1xe_X=>_ahbMt3%nb>9Ow6D6c7q?A{FRG7dQWefcWoJqL0l
ze>IjQnxIAF8w49TaD7Dmnm)mWnS-I7jnXDCYfdTs!_JBDXXiy-UUK7RtyZO54inS8
zrwrdO^`mnBUFK%rW#E00TV-v=M4C(1<(@`Pyt{0Wt|`rjXX0#CWP>p{m-{)?2XkT1
zrJ>oZVSc>Mf2lUN!x$y~D*_^wxS_~b<<H$Eh=6!8an&VX7?c^-w43C{=Ucu9pZ^m^
zmFx6e(0vAcCvHB!HNpdr5X-B@H$<_bveiz?n*r&}5SutIUKrdnZ}w>x!>Scts;77v
z2<Ycjkp~~L-Bu5@s7v76`ygx6C?mvk{PcTulOL+y_M(~zk{EA1yO{IW5Tj3m22HdC
zk>Jth<|ZPIJ9(>9qD~lMPc>s;ZIcizzuE?`dnf~Xwbz)eydi{j|JE?`MNsove8Tv!
z9K2t=Q(5-P0JpPFCW?L*#ZHM?+3F1nQ2X}0L-~XOs&7ROSB{CH<)U5aldVdS2~F4@
z<6(e(Jzi(Nsz^Y!`pX5+com$u&2N@zYk->mQ0461lDHl)KkhuL3KPw(tDPJSz?)-y
z*!;Z|yg%1WzSmVp-glLUHv$b1{Q0*=_Bt618KrY`hiSl&KRm@e&j89_A_6OZ%0h+b
zwyao-CTJQgV>U5EXetSR=DjD6In_fS4!JD(*L2%CBHIuX*^`}lv5F`+-|6t?wGQ|t
zzL}p5FoLMD>oQunGW`9#IP=%g@M3a3Z6%$7%ek)<4V_gnzNV&j+gCmOmU=pzMltZd
zQCvTDvl^Nrc01IB=tDQawtevMQclnst1yUAhr5lQtjaF~aFb@GmM%<K$Xa9<=V)N?
zc$nK@uo3R|ME9`Um|(Oe)JLpY6Vn@9e2(}sKsDd9np$s)1`(P09o*V5KlQ#gcZz{t
zPV&dI1QuRyJMGwOqJ!FFfl14ja>@P3w1kU&X1Jz&Dz0XeE^b^bVp+d2M#N;?4F6^e
zNN@zzMIWHy{{R30|Njh^cRbZ^6vyqo_e%EVUgKVSf6p~aAr&PpDlL=|%4!H%A)Asd
zL`MBeM&GAUsmxGFMn>6tl=1WLc|Cue*E!Go^EsbX{pOo2YZSN?ADq-QrU#xMEwdXv
zh|sLoKp0t~fJKSJ_}RM#AYAe`<kw*m9CPgQNUx!Q-K9}BPX#0B9muHU<yM9Si@1hO
z3kq<qr!ovR7(+<Pl<Y)?GB}@4w+Vhk2D2+OTT~?g1{0ayi8W>DQNI>(*i#M44_Y){
z9Rir>Trpi2Q-L$f@7$?-R6xYyOfY9C6^3+Po$01gf!_bL6FHlRkWci<XXQ45EFBZ!
zYemY?*Bo=>F}ET-93(zU2rz;8pJEQeLdqa?Urn+`T^{(c^2)0pcj`<$rbqUZAl~;B
z@06tsj6Y@R=3X{|UFfxClO+-2covh<m?ZQxb+<;)nS%Ws)AMp^B}f@2B<v3qg*|KA
z5!Q<)aQN3J?(>}laC=YJ)9oh!s_lLczI-x)k;^9zwzw&PwK&t!*VEka?wvz0_k9!4
zY7PzPTa<&>Vxd}tv@FnI_i^)}u?Z|B-frjek_D{<MuF>kv~ZAL->Ybt3QGg56LPcC
zaCC)P*IIHF^P!mOcLY%(<Ad(S9#1K7Io~|!@M#iDFWw~5@>Ai1h2qWF?OmX^{jAu<
zsTZ4gX7aKp58$@t=k5>s;&5<UI3(gv8CH{1mVH$VVA(sGj{T7c7@9oIbD?d*$J0V%
zGNLiqXMdP!n;--u)f{~Sbl>qwUiUh+3S*$Xx{`Toh#%5Z^TL(R4&avuDnASL8o>v%
z6D%W5yrA>qTORj|A$&q?e%hSH2*9DHF7h2W>`wFc_;qF&U#rodFf%lS(tPf<U~3LY
znLasV!!(TlF15});A;S@F`c{JDXb9r`fHTI&>;S8#KiUTOMNh}8h879nF%!I(@bb>
ze&SnW#9qG*J(z2}sVuxe4=)s64R15|;(=#f&mFYTgHXmhKKmMIA@gZuVHTwe-)b+~
z^*l`%<d(3B_y28Uf>)kp4bimWC2x$Zoac1l`?h-3Wv30SdQ;W0!k`g9+07ZJV5I|W
zGMq-IgVr&^s|UKuDKGF+q~na2Xv3&xs}~L3Dwf5oKdVybjZq$(xUKPOL%LhDhULf-
zR!~$yO4@vhiEfXqX9j4&Di5u}yx1c4eQ`l_i2NQi>T?r}_@fDbKc>yNX3S$B96GY=
zPPAb)5dy|hCp01ap}QuX^BiWz*{J_AvI|q$sAdXo*MR9Rf_HrD4A%MJ?dR7;y_kU8
zM1hs12HY;wOQM=jW0$hs_5APwY_ys$w)vwv)cZ=aI!I1o0XNSN=(`MKAFe!Pnb@Ze
ztc@p`k`GN{QXzNvY}QAxj;MWO5iJzReQj4J{A~iO38$F}jvvP&eS7w#9Npnq{s+ze
z!U?RRabo+s!2~v;L~_|0B11j((Wf?i0^^t8=UV%33ai-4PA&BygMdrY&1<5QSWHgH
zg|+XqSXr@@L=qhtLa+aJXRDmVewQwZowzcO6}Q_a9#B(*-|Ox(SME(=!C3A-U|7WR
zHo1%|995zGXhY=1)M<>zkgi?+za?xtyP^|IR)LO%vgi3DGuY96_f9~_3U->zDly%m
z45$3+M~-RFVfT5mpE3EaVO=-9aw-Isp>2ry_>#yxHeC8LT0izLw)FH{LiA}8&;>Sb
z>WeR68((MNE_7~SxCfw+QX;VJnJq0eUc~BL_bL}yZDV80*M1h!5#hqCYfigEmoUc^
z?4$S=4aDHKf<mX2U~}u$zTb1p*wZ78475IUQ1pkjXBJlkp-KVqmmxdc9;TV};$i^a
zr74n|q9Vwcu$mQ`u4DGK1L?#TMxcI`KH8o_0M~PS#B3=4u;2@o*U44Pa8@RU=+8xf
zHKpSE@<W@LglE+1P#Y_dvlAA3q7~psLQDC9qHRpO^ijr&1P90fDBR&!06(2Cl}VDc
z(5SPNb~l>~((7ioWOC)9F|J4KQUo3R<VY;ps^EbiQbDSZ4CR5LD%wa%gaJHiDwxH!
z_+a03<h#Fva*&oQ*-qN&kDftrgVfItSGNs)?mdtLO)M;hy^I-RLk={%l?sCI>7v*+
z8#zeLRQ*))h84E6C^MQx!q8xD8uD_N9Q3_nQ`V#90LQ_IyT8ARf*c|HnE$3Muox%2
z6Aj>k6<?bBLu3i~VMX(!d0rMO9JH2wQhC5y)zZbLUJ~Y&{{)Qgyl3a?=C0!B1FH`u
zD-0i`pw_|BBuZWmh>zzfRTcc;cD&H0c%KYd1-+A0zaj^2rWW6ty#+y2MUT99LKYI0
z_wLAq95D3#d7|Vf4A@oT<B>vn_?X~(fx$~23Nm@@pL>bIs<OCxZU_N>M|`1~Gf;rX
z$m+iz<>C;a_%Z5ofD)JuPg0#Q0yvx&Sh^@C2?;c3i-RLbp#Ra%EGtA2zWK0}#@b84
zsTY;8Dn&d0)moi&Q-BE7@f;OzUP^<Rh1sx7hZ;N}C|y}tC4o*z?spj_Sr|TeT>Ab7
z8E*WYvP;rYg}{9hLo6k7(0ERMrHok}q&%pdu2;yQue1Hfb*C@oFwOpbv>Gtm|Knl6
zA_atJ?0Rb239yIlbDP6Y4On)~JNx~a2E?^o3oW~-1UDJ@_E^Vj0-0fAW*|cgl=mj&
zsV)&=Hexw3hFc2)NLmkyYILB+GIZ>Wn=)`-E=};X&;n^4GoBOMdLVm1Vs^D&1-vS^
zAKxNt!JKK{>BbX=P`;}7xOiF>3>MKE#~V#3K5}SJAZ`rrtz4Ixf2ctO2XpnWNexJU
zY?}Wm65#RV=j-}ZGPp|@pcmEZAl#tg7?(?hcLp_1imqgk`Y;_bPocoC_N?HX$0i`2
z?PADsi40A8lVw4;DrCKt^!e^-3a*dLpYm#xp?fGEUY8N!ij7qE4M8*TDbSSkeyRo|
z%X_-u+|K^?W>*M?nnCr*`hshMDkK}F+SRkkz^kO=Kc;arkbjwJ<E^3s^8PME*Pe(&
z>X~o0H6P7Dh%YIbJB$SRUi`V(M}ANUyK;>+-wa|ohVE28Rf0(J@Do`_RtU|{o;5mY
z2CT+)=VD6<;KHp_e|TdZTN&Q(9=l=+EpM(Q+)S5;5bXDva^p^n`;m{dc%Ug*gsMkL
z-<E~q#iGdXD!*~UzPwSLB@<{XORcwdk%r;e8;S?2)^Ufgik>{@O<>J*hBdHJ67oYY
z9yumPhpsIBJRS6v3VbnDIa@<wkWOvWS=nSn#r_9`xJ{|>w>w=yKuZ`H#J?1mBNh}G
z^5&4%OMrr)oa)&|ey|ujlG2vOhN_;kJA11F=$^lEByNYhtL3WH${Kbg`@Ygy&jEvz
zIb4({C)r^?i}Inc!yJf5+w0-qGseLEi+6~blL?&IueGe*<v>?Wru-$Y8^Pz>Zxx;!
z(ZT^YYaUm34s<@fK}t5&5QLPI{uH*ZV^YUl<?pC+AX~+-B>M&f2pBtGEXuTiamY#$
zySv!YRtnnw^H(1h!kyv?B4gOS5a+sTA9i#ij@OXIKp#Tc9-JA``HIo@<OWQMu_MFc
zu=>fndT=ngU6G%@2p1lp_!+gbp%$^5jzgWgP$q1DossYjr+b__PDp1%S&XD&D-~Uk
za#;VkoiKv4*srQs-(f?C{*(_CM(Y5PzFYLye^a=Wv)8qua5i*yp-41*K^rP-%`KjC
zF5pv+K35rEu%Vv(;@1yOYlFgY7B26#j8~OprSLGaqs>MLyWO_KQ(lvTZps=S<#l|Z
zIfxxiE$wfS+Tp3fTyrHO@*h68zTRK5n**tzrfWRVs0nxKj|4F|Y~j^@y+(f~IZz|I
ztiHTg6NW*4it8Q?N-x_UDEh^TMAr>MIodS9LCm)3L@zCJ&5+&{Vc|ya=hOG6pVEK`
z1+C6YBzko0071?`g$E_b^|DpWsYB*1fu$ce8PH2($}H~;4{``{5BG>rhv7lz4W1rG
zbZld3zx@YZG*M=Eib+u&n!T0(iW@T{4UP*;e_rz;>LJy|XJ07L@ZoJ|e+3I7uBBPm
zzUN1jqSlU=*C~*-DACEH%ZA$b*v9nD2q5BQ`QAV!3LH!@%u(uOM}M8^<j!gcA^vqk
zThC!K3|MFSmqu`+v_EGfeUgNci8uGeu3R!KI1H(eo!~~ToR?o22#KPmf<8|fH!{3U
zGVEu3!h=ScdUv(F6hn3E8lL*bWLT;Hc_5>L7qMyQR4d+)Kpv`6$1yQ7<d5jx(P`yF
z4qDZo0w*L<<C|0~5-l0dTuZAnq7^{i9G@2%$x>+4#mhkFw;Bk|pZ4Fh5JVcOasQ%C
zrID!MhyU_->H?o=y&pdjLPqaYeZF6mL1in)M)c^(0N*ma1tmq$P^Q(O;UifTDIAsR
zC_{#ri_dKNOGVM&w3Bi72jo!Z@Pd=CEg2dV_0g=IINIBGT4+N}0hQl8*l-|~3?lml
zgJT7EA;16HRF@(NNOJPWQu6{CPTCmo@0pQA&%XBfFHb2Vd^nLf;7kE&cFOslt5WEB
zSB=?~Lqud*em3m%90jbrMM%va(&&VsLq|d-2^o6nS#2b%gPs^Iy<>n3dPn_id6-oN
zVX1hm@No?=aio3f5G{**+u)~;wJO3JJ`2R@YXT`Qv0@-g4&C_V3}N1C$jyGYah$Fe
zkSQM?o%&B6HQ3!ctfo&!GJTSF57}zN(blMxyNwE{**at<DvOMK%Qff*!*$@)YYoc&
zF9cK_Rx5gToQ!t4{ZJd}(uJ+G!!3*ripc+I@R=nR3bOkVGaaC%5AsIYzoH71kc{6i
zH8Kqa4cq3mt7IF%i{wb$^$HQ8>k7OoO=OfxTs5ZUH3CD{5AOPWB-HZc(5aF$Wb{UA
z*t|Z#7z#?dj?Bc6keG&07FU8AGKlx8_5X%}qEO!x)1M?{EaPB5%czPb?1@Ws_W?>B
zo{C9rkkCoj0+++`%ILN``?Wt3JAQQTh1kR>33ZnH#`0||A#ACU?m!9^oRy1NKBkk<
zU3+%fqC5h+RNC{1X`KpBj%*pd5ho!$$?5A)C3#fmL|Z8VCLqKeFkRqEM6uJDC6+6L
z;(JMJW3DDJ9XaUA5UYeNZYNEK%Sj;@3p`;v&;$}}OxvGFDI%hEWqIaJam1c$wqMN0
z1k|sV(nMY&plH8_@qhHf$hju4u>PnC+&DO+G_I_G+)7sHB4+r|&;f-;0eO=hozG6Q
z8k9qHw2Id2DO@PV-9YE!FDi(hyC1z3A&V|p%^D$d7Sz%BFo-XS3WIB6cdN)UDDKyj
zam8^uWTos7rfWonM-M$kuJ=kIxiAAx@39TMy3*Yt_a}hMyZoYOBD+ybkBRow^JP4a
zMQXV+0HF5UH&4DK36$4hw9>>mhmX;CM;sFZ_$c&jESD^Xbld1}ZAOpdT&+5z+D;e*
zA5-$sm=i`qjT=ReP7mS2DTx&piN<g_v$Kfqn;^=%R9Jc3wHFstyZAZzlMyg>u2I*<
z_)(;vMXhK+7j9=)5qyBb2s%8Qh~K36P_&bgON#ARJn&~sinfU%I3DGb^9kWWUz_$4
zoUeYx8-LWC{TN~Zx(voWebQWLq$ln?&9N^0bo~BlvoHEUjrqHj6Tyy1|E#wTmVL*o
zJDLU>Mf8CX;oOyK$cj8R7wlZ*`tigg_tW>g=s{LW^kAYkGdlNL!t18N5Y9Yczx5XB
z!kypgL-N-c(Fw&vSFH3$@Wt7OH+dy=p)D%-2AZZv)mIze`UZ^SAGR*=i3RGwZ+Y6`
zU)gjh`RWsSuK5YP=IV5K&7d}H{AIG&j-o|9+N5vE4`%RDa!^J0K5clz-(i-XPlNiC
zr6!(|=5e%MS$^P^798~%-5t=ojdLZY5e9cJ;veQ8e`HnC0>8TSmA!Ra_+m=*Q&0J2
zT+Z3><NRYyn8UYEoS5FkYrkGQ9%8hLi>@SDEQx4>dbi^Rt@E4s3q!V-iZ1K;^d6?K
zbSWB;nEB$gh}0%t?`}q;^Xwn~kuX5dFRB60t_XH8i*4d#(O;<QoLl%$hpCs6nd+dC
zWp2}Gvx)ywP8Llwr$M=C)_diY)ZyMrLEh&#n>Y)L#=XnQv}oNq<B!5C3Z$4H*t_ri
z7Jer-MLFpo9cm;^%d739fEP>7c`=i1JizDH(7<&D^hPtp*K&XiJtUF4XNWY&^Y^_B
zGcG0+muJcIz>f@7LLaJMw9ufR3{lUQ-ZG=Rj}3YyM98q@pPqCnh8Csij<wk*v!Xbf
zYz-w}HK=eh5+k|Lp}MDgZ8&1t(cz{aFAp}VLamou%+gtU6h0exYP^gSl`rrZDN3q>
zefpj>Mt=r$WYPTE(#DSec7{AMy`utpA-=w&<&21hj{T*c5ig3l)w|n%Rv8|C4dZfR
zWkz3ay`j1!^C9K$bi;<1l|hEeS#>v*1$ilOWFO-YK);+q|NWgM!HJT4haMBy&{Ww-
zs#CTgs-s%PeF`DL)yeOcdJF8R-j&^F#9kPQB_zGytwaKfmaUY)Z%$;HllUFfMN!(I
zcwXgCBG?y5n{zSopboXL#u{~Tq(t9Q6aIt<cImP`6=YuY&Q|onl@q(rsCK{Kb|?`(
zI3?!Y^Woc>+c+lkY&TL}Rj=p{B!Y+W{SujOexx%j{y{`Y8qHL)bm+$tf$ErE!eS?g
zxSaC`<XvUZlihOt&4>tm!#XZmb3*9Gq5f=%ZdugP%=WrekOXGanL}cwBB*XSrP}<c
z{7z_K+xCekL5=5S>!XokNHA+ORdPZBT?pYX&^J_utnh5!>Tn4}4Rg<wj#Wgvo8HOa
z5K)11AsTPk3MJ8}WEr`8R3d7+BHp#6tO}})H3R9_q)-QU+EdycUAJU3iHNzS25;!o
z@3Q4cBPsun8-A};P~_sHu+>O1SX?Y(PwtmNnYtE<9WH7}PM)gtz@GxUi#BV^W#y29
zmDc;yp=4y9<#RkVP92yd^X7ke$fKarx3fKF6y!Ko?%&g_0o~!2UNJ}k#b$8{^Gs3D
z;Ma}}s=5~ZaEsd%;#5S+cK_|a<fV>k|FAhfuhE83_iImbZIlqFwfx1w7IpMa^PJ7*
zd0p72V0+>4Z6cce)-{x~rjFK`bIyAc^&!x6E9XKo32{F9dic}0I*QKAb7|Q&0C&Fs
zoU_A~k?&=xdb4D86r-Rd0KG;aFn|7ZowW+uLrGw$rBO%LMF)oFpJI@Et7C|zUj;G#
zic>#DprAC%Oo>000Np*sfjnxeNbJv}`*vJp<n+7J`D7p!g2k)+_86<8P<{Ts@&Fa|
zPSx|%Ns<YecgnWKGOHqn$Ftygmx#2ZmlX7?O`vaqg*huy1qG@tW_ceZpc?(Pk9_i`
zaPzLs0RJatw1@qggbAG-IuIwbA?soaK_T-J=ATKZ<2nmN<0~ojP$jLoGr|<|q*f>U
zlZc4!97%j#R2<3mUW^S4Gleso`u&C)J9BH($f&0XqScnT@}+a8AoFaf43!eliQ`4b
z7t6WPtv0e27r_+lC;687c@&VpvG;W!b0!oKq7u*0Wde&SsV}3Q<q&;wc1WD_22P%A
z>7l!30$TD*L8UKb5R0K@8Ar!7-e7Oj@`2F=Jg~^5W)^8=cjs`VZDuR}-&SUo+XE_?
zOz<?cwo0NGmi&i|TRSl2949_2Q7SaQ&A22~CXNh8wSI2qk70Y?vh1SG0&r64r8d11
zK`U^0fKOu%W8gikcY^>B<Tv!?)vO>Ak2>#I`)Co9yUae!a~1<?n2U+eaem}E#WQTz
zxr}-E{|c4bxpN*?#x|9&^PujSRNB|Vt5}Efu$k;bBjBzm_t^E26K!>UyaO4lSeSO~
z!=!hH5G9_*__v4^jrDSp?j)>Y0{nqJN%IDfX_s5MCC-GtYcgykORr)OlAg?<XaLXi
zUWW}&(jj%Df}b@PSFp&7tO6P5^?^C}PE-It4Wi$zKEr%_8GD%+RL4}T2L(g1tr{Z#
z@B#+u&)BUc?DR;C!qAc~)G3VfW@oJ6-CZ?YSw4%{d1;l_&*r-Dgsph(c+moGSHE}Q
zq5A@Muh62^<&h4EN7{)$I5C5t%KzgM;X9B0m(po>c}*KiGQP}J82rZHCHRr`AIxD7
z2RDoT9kii-QLOTK?=Wt2G3eK3_$($^!)$vT*8+u4S5?2j54_LpXf~NJgY~sG#C_iJ
z!3>Y|{qN_#;wp<7S4p(fSYN`SXQ`>0@Z++S?{)nqJhaC2mxbsQ#&n`VHlAG*610Bq
z`5az_>$l$<$@ZAUPU*G2xgV?ngB^5ApYZE=q4>QMH<%|eqkl2I=Qq`X|BaPqHQ_my
z>2#;!e*XkE#n)c87N8E{d6o^KWA89u?8xy;3lkWF;Xg#!qCnwGqY@sM&)Crq-lwC?
zCo#5N1!un9r2tbbpXp>?JH}l0D=4RX5<B#2-?14E3YdJOwB0<~g_RwNpycOIVON|}
zQ;wvOp?~$D`JKM+SdrDOI}4T5*h1qb$C@G;3RYMiNt*q@x`MSFFK*9Z3VZwML$9kr
z*iFB9a^?W0+c9)Qch4Ng?6O~CZ>}obBX>?11r1>ttW6ADs`J?MtYLNGE)~evs^;*a
z{KD$S)Epn^E?{5&)qd~cPyyxM(0HeX5iI#j@V&r`i`de(Lgw}T$`J1H->u2UF|29U
zD1EAS2|GtW;oX0q1d$r!XsF^hHokRA;*!A%_U*$Rxy^1O+>58_WUigSm>i;WMn_jM
zo(7TCW_cpeguJ^=nV7<|jB07V;_I0GM(!PJe<iqjZn(?dWEL}9OO)Bw{12nn%IDth
zRD^1VGdA|4b65pUVU{l67PhO9w$58q5zIf=y!~OefISyXiWb~Y133!bWNJDAwrSUI
zk?R++D-+Gx`%7qHhFY!4%0z%mmnxsqJ1=9wy1X4f)#*X}som7(bp>E9kZ3(XTE*-M
z&0W?*43P7Bm*tr`c{p{n*X!i2b&RlI*Uz(t3C><C=ZkQchad%3^wszuRy$PAdascM
zo~;dZ3@^*U^Hw>D`ov8v@5vc`O$K&oI8`3Ec2^Eu|IS+-;iCbD2YcwF0y*IVz1cZm
zF*)F&AR1GDTEK3!k1>kz0L>R5QL1HO{n0v$D<eHb^|#(WoXQIiSiUEyI?IB5Rj{tz
zD+btiXX?1UAwLAm^2a?Bm4)3CSba+Z6MU^<clBTu1cPr};o3iB;I2bi+VW!-c=7t^
zdntNh$ddKH@VHb4ijK4StMs#he<5!egNi7$^@x=0j+22$YZbVZEhkuAp}$=dDGo!n
zYpEB)WFS?Dc%+Yx2YxgbdVkt2303_bw)qJ%a8F@Ek1mK8@)8&aUtO1iO!b`Sg*7tJ
z`Y(#@p%_1Wo_hIDV@n$PBwsI1)5!vXJA+yKrvR9KRo-orCkqaPy_2u5$^y?d+~53@
z5cCWa+RnJhgBRsgt~8?@$eexSwlOFIRikoNBQ`sNYVX-XY?g!5*@faVa^jG4UEEmA
zRtd&>Z|c2nkq5%8*TA>LUBD;pFH_<{g1eSAgm69rg!n&w@<db$d>$}PtLCbJaptzu
zMz$i*7sf~G+>(a(drBHIhSeZ}mT<B?j0n$I%S4~A%Rr*Tg$v`n6nMClpcDT|8EVXq
zFQ<gbfnJbt(K<;T#_hfN+I`f(u=%Dqvy1|?WRf09YHPp%en2x~F9nAGi<Z3mo&fhW
z5_reuG$FX0oAe)t1_a?DE>&(yAmr#O!ab=8|A?K5Zme4HOup{oNp=!A>y}nB`fI_P
zPzR$udOG0$XV6O{MHwb+Pjd9X(*l=cq6T>hdN4|~ZahG*3QwDuuN3X%gu@HBX;j$_
z!8BL#MI2QPu2Puh46L=_r>REsr~Agx^~d4O8)-6(Qfb%egEZlBXa9quU;vgIzfKee
zkwH%4(>A_G1M2qf(v2#iLiH(X`Qv9~*hmbb##d0_B(st-Z<PtuW=EVoT26+nYKDty
zscJA75Ei|aW(ui(H+O&~!^n7FOvX_XbZIR5749<wr}0;2?{|~o<={|8OPd0aR#I&K
zzBPkj_uTqvDK(&+Tz>N2KnCpG`W>ce%|WOm-`J!~1yXGV{KMnL;rfN>$&(!Bz%3?o
zzI~MhT2B(sRGIU`;Ua;}{o`iveto|sCmRv!Vmao^9x}u6(Z&6r)6F2@5;@gyg#dCr
z=9jsRmNDMiH_hMF%wSQiw94#@JV5*%?G)uayc%Omu_!ZzvIv6S%XC>78RnUKdwl`_
zqc!%FPudiEee+h8u1Z5rM7v1aUK;e9{@%IoQ6|t~bupzkTN3(AuEqT=VnotaHGc1w
zs30L7S3H;`2I99@99lA2k*=6eZHyxoK861bZmJi8(`z3cxi4`bg4#hbyam8cFaPL@
zIzO~?OZ7P!bD=bO&&h66fMw~=6?h9b^cE~76&&M6Y2-dWjawKTe$2h?-oUzZ&)#xt
z9_2=AhJrkyA;uuJ5R}7e&H%rYFQqi@<b(eK009603|D77)omEI_dfPMI2?z=IrjeF
zj+F{&(3=^hL`6nXw2VRnW$#i}B1%L3pNyu+sEkrp(XjV?eZ4+Bzx#LJ*K-XOw`#)S
zbaU{2@nQ5{+B$Ypd{F1{q##;W**>jTX9j_~OXu_Q=dj}zx58FS1<@YK86o~5Q@9?i
z`!|U62UBTFwl8oLL>uQ0($=L+LDfpLzTtQerp8&}<uf6G&K|N&lX5eGbNkn)Gs`1z
zuHQ4iEi(mB7Ejvn`C?;OHMF`kne+uGUKn!La}hvRCwmT^STq9h{hqVj8b9$u&D%Q~
zsRC$aev+55%Lq6=Z8<1+c><5jN=!*5382rSQdzza4S_tqSMCt&EPl7XJm8b10P3~4
z8gM|~5Zw3^vsZ=|aKg=9LPfCxsQ7TG=kF^9K+Urg<~+HAUqko0>}CWIK~wogHLC&0
z^AL*!TGsJ}7xIJgNrK3<UCJThtUi3|?kcEVWJ03D!Eb!kg^<Q@62X;OA5Lq2IiVKG
zf>`&6-_E`zgk<)NJMdoCgCp}&2g4^>QRs}7*(rTtv|Z(cRhhUROfRN*SnOv<^@X9U
zvEPM}BxQe^ZJ923#K!!nZ0A5?&X0%o7KtF{SOIkwYh7SDtsInQ%Y_z&Rl<{_31~mH
zC`4db2SS`Y0*^IuBg3rL_5M&%w7cY+!My|>poZfc2c3A)A1QyUjaV@>q6LX`BOQp1
z=&KF*!-w`Nw^TfPAda4rG%cC`(P61*&_zE-0IBZ3@NQ^D0=+)MbSbTr4t?rnKZ<mO
z(DVL-%ho<p=x57P>-l4J;N2>wu&5%8V(-Zf<o%RJJ^Wg&0cLb4%y)^YP!&O4*_k#s
zF3Y02y~_C#qI8JuoUt%ACZNmf4)4;p$s@(0&kYCWX~1DUXT0JeigZ7W&ijiiqQIHX
zksZS{ID_e2r>2RaNq^qHIB_E4GDO6sej1S2bwURQ#gVfJ`6(hPq1vne4rcwL0gIQ6
z{*1LGGWxVH%iT&DeNEC$yS_n#|6GE2R_mqE2RR>itz#;Pmhk=KE;1b$Goo&=O$JrA
zN8XFNO+tIeyEQ_5=`i}k*&%B}7O7k3pBo)gMg9-NrIH@d!OE7A?OiI5GKals*6L)`
zU^<*+E};X&|8y2_n<^r`S$>VPLF%Z|HSC{Q>Lwl-iSB3+QQq~P>#?;I^uxAyHBwC%
z>YgwOSt=``FzM&D+7lXRW$v(e;wN1on-BbnR#ZkcOIvOmNKsK}$Nj2>Ts`PljS2gz
zsDj)qCB9fuw2&6J_K%)(`cPJ1Enr3@p*z3q+XzzH=tR};mJ3k^Kv0v88IV&&O3v<z
z&-%2H(2#7}wiH7c`7SvdCZdLVR<`tU>e0{(dhS>MdLw9i&8si5tcK)S2(q&KXvnEA
zqO)zm7zzUF<-^*@=)Q73s&u2FMnOu40%i)L5A4;~lhl!C*z6T!eHwZmdU^k|L^C*d
zI00m+6m%i-_%qhG+Q_H3nQ!)!IqZq+iaS+CL0w~C#(uSHA^)YEE8b!l1l?J8bYap!
zJ0I?dej86kQ+-iYrHTLvk)<|$6b&?-l?r>OG*CS~zp%Ch!0=L^s+XDu;`87-Eh|Mq
z#Qc40f(n+f#bc1Uc$R{wuk@1!`N(Mct^8WmIZKGXJ8HX@LP6DD4#F*8NhtQ|{(^}2
zmN0%!HFql;1?6DyN;yjz@eO=ib6vNDttBMa(QWETRbS0g)`f`l!qcv9m0~~`MeKCg
zF*2I1C<)tQDUba8dUUqRF<`1MuRkGJ4SjoCa(GNY8aeg&Ez0vT;C5R-;h>u;;<I^m
z=m$j{rIhZ8R~xm2xKB(M6Lm;PbnlO;+S?*XI>CTXw$>8(4?ZJCttlg}1YNE;UP09L
z<!W-*2}_VK718%^P(pj8?ZmQfaU+?q@DxckOE`#cY%IhPQP!dVJ~arkqkKJ?Uy+>v
z=^j%^Wrrfl>&iOTX3LB&Tp6iiL;}3rP|n+7Est8S=_WUZuHycVaRT0Q0I~{CLWY@S
zk@q*xgD<NW@ai{d*SgMNkZ3){@75=U6pWfKn8?rKzrI#P*gv;`tI=<UvcE{6OKH7F
zEmEiOSAo*pLhI&${A8kR7R3;O%zDx9^8}vGdRHwA%t5)OSFguH6fGBTF|y_u$K_=8
z?@Yy-0aMOf$+2<~gtfD*vYh;fpS|m?)Y@ta)HA~~)|fEL8N3vvH}wx^+M#f?M8*_u
z2Pd=HZ~D;F&ht)IHWRqpNW|E?Koc+|Ki0@D<42*bS5yj$CvoIc+3DF}4D3}hasg$$
zs4-wh%3x{=p9uCW50^Ct3wqj|>0fRnSpVRc!>Jj3tCEnC_-P|Z{qlzWzd$b3+SD`L
zM4Q8}g-Wd%_8Y=qjfP*Vs+?#PcWV$KEZ`#Rx_dip3?V~ft~N-L12xLTD$GhP;co1E
z%X_K~;E3n}R~2)1)L^pVB*R$2S9Z?)VkjAaZAAYpN@hb+bFeXbc@2*x>rJzz>%)mg
zC4U0~8#?M<5J;Wcz?W*8E2M<<p|zj4y6FWgde&Y~i7;bEu1&vD^c6ig_28y3OA0Hp
zTwl$+lgxsQ?o=@h1oa?FRHC9kffd<*%*n`EVnxlz7q-~l)P*+3-4b{1vLe$xGV7+{
z>`2Q^An}EQE+pWDGaElyQCe(=Lp?Vq(uCc@_bYV(vop>4YsZE>h3@7TKH@^@PxrCv
zGIT(^EI{ndTQ<aBS`$-ymIq~}s^$dt(qUxBB^j$gcC>;lJXa3!AyDPs9)FS!603*0
ze6%?bzv$PSwI>A7aL|mv6Dc})o~aFpB5<M?w8SeV&O(TZ^W&P;OB%?=I1L*}aiLe^
ztLAml!sv)7g?Q>14Qx~Tv!X1yQOW0+zlRz`5IJx>;USR*2PiH3;;!(Z_<^dxGI>!H
zvWlJh_DCB%2*I7N*LjiNnf12tn_{S&iB#iaqzzS1<4JRA{D?_z+qP!11X^Z3>?QtI
z3-${1lNVeC(N?`Ymy5lU=*74^bLtT-ShP95FjXjoHjb(o#a2k8sKf+?^YU8ohoxgC
zqEZ;qf7Wq_6v(0<U4>=6KdI1H89e`_Lj+l#OHr+=lSj_+<K91;sc`<4dr6O=DEg~e
zIGP)wh$4v(pIf}30^H>Zo%a(%mj5<>HI))kwzSxbFCA2fKSP-o?GZ<1G}-|9uM!G9
z=y0BeQwt7NJ<1d~B#Ex`yb`2<3i|rK_sCICEl~8*;yx`bjYM0_WD++0t9v`wn*28{
zFiHAtccWVd&1XuKSV^d%l0^;`|9EXkD~>-aRxgL1O`oQE+$5vO$acaQjRv8gRi_Eh
z6wvuO>8FpSDd@EREw)pSX`u8xU2kkm5pCW3^8Qev2I6{z1!lU_p+0gq*BfRfgdT9%
z{!yl)UDbQt929im)}I3&6lLYjd)T*_WoV%z*LEdqu;@bRlIXPOHWkE4L~~iQ+Nj~|
zn^-jtJ#gDUR6iO{LPKkuuQJnU=w<Cw{jD1Mu<iZj%wvVBsQqL!bFefW(YGo^9t<*o
zymC1IuvraJ?N*#VMbnXOfZyxa9fq*_Vux(mH!^Y=cV~T8Pe-1PSoyMpG2pv8k46uw
zBZoGD^0*IlRH`-}mf2?l%5SFJzqe2jiCi06Tuw*#0t3XILd-y@X12oWrUtri^D9zk
z7ac89ZI`%sEr7ZncVVZVCL&n9=Dg8BLt3wTt{zIqAX(8v$L*FT5`QzW@pn!eeY8&P
z)sF+<U8G*>{HlqbH)c4CGHW5Xxr>A9+Lln^zD1#R6W94#v#-Ba1BKGR6761ELX)&N
z(|?7UsBGA6_jMI@w7c<Fijxrop7hCkKcZ-&@AppHE%~XUWZ&=p{>cmoDN<MUJH443
zJjl$6H<Zz-cLh&&yl23KlGp57It5io_f$DIE26Hfw=Da9GN9^ylh~&?b;NR~@q~`N
zEQ0*l=XS#kuuN^IUUwp+CMN4bW-bX7=8VkOUNeBH0W5QtRnal~J2h6mB8Vv7;3t2R
z0RdgI+NIY?NKJ@i!0aL)x>Q}0SmDHgi~~j6>C!3)pMM<f>B^4g{f|pmu2=%+J5sJh
zz7l%b{V_`Y@;bg}?fa{-97~wkI<<4ZDiN6+m9RN?ZWgD`Udw)LU<re(lH+253dk8>
zEEwn;#d|+^jQ@KN@Fu#V?QgLx`Zu(FH8#2%C(V@mwR-}1JIitOGE1Y$+)K8VLl1Gz
zcO#P92Qhd#H)6LxRsv<5C%TJ=BkbMG!pjp}7+hTXQ>3XUh6Gw&ZO)!-$ClhKX8fgF
zz#gf{1KWiNsA*xG8pZJi%fCGwJLP2#k7G>pBc+8=c(C>iBew?&Qa@k`sb+wUXca!a
zEr8w`y>_JZ_F$QO|BNhJOd;JQ>skC!UUZy9dLC@ujl~L0b_(;FLibMsSA8NEis1RK
zYw7R_OY@A8u5&U0^_}?3&&%wn&q-b?(77E8G#7Ui%rb^|hYCktJ!C~6bT1f?4c}tP
z8)wb`jv2u={J<y8I%f2BFvO)M^Eo#4+gno-GlGC^jdgM}8+b;pAJKOr7t?x1kaWv5
zgooy~`fL-ccoiFN;`6=|j~R;Rj$Sl?;z9G(6xU_^#6vDt8J9-fS38{5!QBA#lZ~^x
zl@{@Pln;r?d~JA|q2pS5lRmui881k*o5#(L+JEQs`GkLL$i#H%`atLmeJcNa7UxZS
zo116Shkx96)oY<}v+ww<th_%xgPV4j#n@f?fqQH-XMefbcjlYlxMrT2#)ZuPZkr4l
z!aGX)GlQ<_0)r`H(e=p`{(|B|E%*J2Ga8Ohjq&P&0{igqe9b9bbJup>S+_Af?eL8i
zLXr+JWNfY8wol>}AG3@!eE#CJ(V7e0f;zy{cdTmY_9T9^&cyrZnF%~xj<BYjPKO@<
z28(+|leqmETF$e*Q+UDf^WYI89Ukhy(4{w%xZ&2dY<spDJfWBGgg_My=8A`{!bGQV
zURLh!ubXD^TavouR7)C^w)cs##ZKWFmmZQm^X74>YkBis71~hGvwP=GscBr?fc0?r
z&CUJwRj0~s>M-x;E617Jr}4YkgEy#h8UGPbd2)fE1z*Yb_4JAvoNcR2yYc3IS_~vS
z4>?nTxS=%>RX&SnbN!;~xNqQ#QM%{CZ)!qnXx`L9+Z-;p#{8#zjR}42@f$Pxp#h!N
zcZXGF7I6K^d}(ig7UVA9E73~V01NU~SB`6oc=C(Yn21?cwDrEpyiWoJ_`7m*Ikc8>
z#@&Z4kwxst-(K26@3%T=wS>|HR#xzrBYS^RPI4mhQrw<oXLXRzd@*x+X$>#_d(kB;
zoEzPH-2D7IB7@BaLFT476SDbq=apJ9FRDFKq?vC-h7qy5;>HflXui<#^hHhql%C{!
z^w<+MP<u7nDshVi^`3UWw0G0@r^r9lg{{?~BA#7oP?`-*Z=H5!eIbmVED7P^J*wbd
zciHet9XpD#pt{`HPCzy7f{cbpRiJ$6=h}6K6ICN&0uz%Mx~2NQXP3GvMDypAR0nb+
z#WCKXJ$>RRW53>&&YvXs^LW1aa1t+Sh^twy8jwU^+T^m$ACf?cr{ZzQcYegZnrBK8
zmqG7+l{_ZXNFds=qk~Cb2#q%x$v-(Qhv*KjH=kW4!D3MVs!oP5>PXpj^Ae9D>U>6S
zpUfu#i%0X?c^LxQZQ}jc@B|TM9{6Aq+DZZq9@}k_FGbO{^5KAcb4sYJJhr|?UKP&v
zL>y&H6i0mDc#o29s-SF_oe$_~sxW^C*yK)2B2AXcM+!Ss5rwTMCe=g@!l>O7eJRrD
zvaLXfEQyS|*Y5aai;&^jnS^1jPFb{Z?Yj3iVG7z4?>?MEQU|Hlj1E&X1(YVK|CTDG
ziNddsw4OLkfx5KsOi4c#QFUXGyq1g>n()@SW+AHy48-#7v858a@yGT{rYH>!F3a^Y
z32A}SL>pWBJ!QlwIl3V)K}R_k`}&!*X^^1p8?>QHLjII36G{9!s1#;(nd0bhBv|;x
znNn5s@#Ck?+v7UuW1z154FO#c+ivhrR-26Cgr@@w?(1&msrSeI-{`^Zbk*XWRqE(N
z-anf}YdxeB{Mj(Q$^b-I#zUu+HIPWb1Cd_^dMNvSQp*xD0;d-H$IfRp(ecm_mRpbY
z(74U6tVa_jP<vzVle>?o2zrt(dY;!qi$`mRg|*Eg(mPq;=5sC7@q+liXGRyvGrSzo
zQ4DAXxslWH+9+tm@xBMYF50>gG&s8HFJ`W)T0ZPF6n02qd;3Q^s(CZKA=6?B0TW@y
z`SLWBZ2WzUW=BJ{kJ{t+-(x_>_?@b5J{me3%q-%uu8E8zMkJIES;5Jn3>V`(ZM4A2
z)iNNVj^0q`E?Uf3fynPGetaLakf*)bvMC1%F>U8CzT;>OX}(!)t`$^ttS&QDc1{u5
z1$G{}8et6q31z#hZ8XtG3&QddNol0Ie)EXZNo&Y3X5V2@OhE~25n7dBL{M2xnMdz-
zYv_08)IZxzMzQ;E|K_UTLU|&hr8&&j@Snx^;p_iYk&}w=Z>h)2xSzdVdT)*u+%Opn
z9iLJ`T^q4Gn=bd`;bcm5E6EBJ-Y;Dqm{LMMJ3CAVmcL_<Pw6O56)~V|l!%xY6_JmJ
z?BhE}X0Z>p#xmuby_l?npP!VHN9>7y)X3#Ej5F=?dy}h{@Z{XXSHF)*qj%&#E|Zs8
zphI@39I;x0jg7NJ+M+lLV8mSr6J!U!?_tuuX8<ym*SXD~6VTM0<L-Ez12Qg49$1>j
z;Nz8Ub_XPc<|=x6Ltb+N<77=&`hvw~e|(8QVCO^12b%H)oVXxH)B`u;v;fbNmO5Q7
zP81uPBYxl%7etQKasMWogZ1wHyw5JOph%H(y<=WnP<}v)U}<LtqJavjPli_Ub8gSs
z7G$~L-EEU!72&3E)V7E3#?3k0L`u@$tAP`^#MoHQ-8TUj&i+F_661LAo6y~oUYu~?
z=SeEplrdB#R`@+RG>8X;(^GoaIbgX;Yc$Km7;fhibPc|>;k)6f>BBM(;QH5fG$+vr
zuJ3C<tvy_fDdz?=r}%R~>+h!`7l#aiBJt#)+o?{hQRd37yTAb_?B1DoTN=WdV{d32
z)&p3~_xt@lx*Sl+pFU%F#{j;PniImrMlt>j(;NX?4v3_>=Q;@)fTB5gi#d*C7oFua
zk4JF8M#J{AU(f2pK|=KU1GZ_b;KV<RqPERBm+Hx7vwCncQaUKGY8D$FA8%N)=Y-Jc
zJl^DEdO&FafjRvJ%=*AxuZ%HHkhSOB6ZTIRbo@O8lnR!xA&Oe=wfkJKi@%s)8>|Zh
z4uZtF#TAUbd-u>n4mYsR(yLdObU=@q`?|({9dj%9bYQLFfx4MTcuu?y@UC8af7XEs
z4$wN~`DS?GQ|wtOJ!u`-ZXjZJGLjjZ(|aQGJ^5i}4%^vRO^3fH_8d;W&jNn0ggasu
z1YrJi$f-w;bTC)kUl26O3f-dXY6D(E5EMD7IzLGR(FRvY1$J0p*41fq7l!eHN58r=
zXpk}ea>e}?2LxP9)o2S5fxV2$u?kxn;Kw|S6*hS=n0vAv?hwG_=_l#ibJ{?e%Ue;X
z<c1)toozXDqR_~!op>rh8zdjEE9SfNLb`df_c32_XgsS``gcMLh?5)ldMNzh@mkDg
z>y!j^VQqExF<PJ*mVoof3c?AtEdPcADfoAQ7*3#Q!2nb9r`k**=%~(%-V-7NC30r}
z2@X-AF?Z2T<f$-t`np~J?}!{!U328!UQGr5z@E?LlOhlzoRat>P66~pWImJAsSxU%
zS+i~-3NOxPKYur@2-YzR$K5w^l@OECqj$uB<LPqF7AYk-<l*PLTuX(SZ*kvr$P#eK
zv!OD@TNw;!V+&z3RQRcy^Uk4J5_W%!qqaU#f%gLY<qBQ2K)mO$MPRfvTzMX&b5dCq
z7`GgKiwCvfFi%|Hhh4I;Q|;Iz{cJT5vh_bVo2?B@zmHWAZRFuAVNtA7P96AIq8_GM
z(ctNz;^#`TB5W*vS8=*S0b(+207^i$zmMpmL8F4|e_Kq65cfpii>R#$h5SyxKVP5&
z)4t}7FME|BOxEamP8Ag*pDUZ?@6Z7cxlVujS!M9xs9#PZYJ+39<dPkx3vJuN<`0#t
zKt7qsh&QD{-@A#RBqu!(d?D`mq=y9JKK2rOJ7~Zo<9b;6yguaB@kX9y-<<o*D|_Ef
zJ`MEptsd_%fYC;6Ic;?^Jje*vh%TXn?Df@LeK3OC3D^fe3w1bZFy5TfLx=L3bFKTD
zjp2}-6Np-DHuSRg8|r;@h@N5-d%MpRViTyv4-_@PXn89;@8&y^13xPw7R;bo{ln*?
zehpAhh>jgKqeHN^-0HLI7BC(sVvrT234%tPiF2ELtzNN^-~0xU(kii4@uMb8n79O#
zp3#O6?8hgHng9wMBO3%3HGzC=pL5g!D&*r=e!CvF1jP$nd)Y=bL7+PCVc`-57A|wZ
zkr_)MxKEvbx|u6wFI@6ubtZ%F-CrFG`x#KTG*U<7)dZE)@Pw2LBrtzrw3t`T0J96!
zmf|fMu;MD*Vs=*v%%v443kMhwRo$NMwTlA4_tFZ#rvR^W=`}sm3@G4vGO|TS9d@#3
zM6fwX!$#D)Mbs|_T&(5u4f&@AckJejiH>40l09Sgu7Lq5({2h^uc(4e=_f6}w?ZIA
zzEzihi2({CB{#ffNI<S?c{!KG4UDx|c^PvC&{H#~UGkOTNUvAIe#8PL>Fs>h!<Hb~
z<5Z_cRDzP8frkE#CF~v#ec;1+OL%y1?B&h7ijY&*Vs|QS5?f3=|9eu>5<cvs{LK!M
z2NNr$j&j-{7IbW3Y;Og?4YQz=PwvZrj>t-r#rbzwJ;$uOiUoj=b^L)qf)sd5M0W)q
zx{seaViVt=kAaL$s(yNbIIy9nlc#t;;?-Z4rr$JM0J+$^$9bP9#J<*<N}u_HyW%#U
zw<gTtWAMZ~O@;`tsYd6y27JYtMzha^%bUZ*m#go>_6mXCUgyNKO8vNt(S5tGJI#Rk
zT;YWoBYsd4E}yfk{)Q`_+j3R@iYe@4O69&F#RJO<H$1Lq^x@Nzzlxkbn83Bx2lJO4
zIYFAq-!j^&8|OPNcfx~U0{YsiDh8cwkoxRixH)$hP84#gR`4<g@fU0QSP=_+jbbnw
zJX>+i-qDTyRYs7y?UA^`BPQrBOJVZtZp5{J6o3BBVFX3$bhj%a>zIF3uy5e4YTQMs
zg7=({AvAUi)W>M9U_wf5&rZEc#YT$Gr;arkz~M)S*URrOV#Q-o|Iwa4!>Hx2*=N)Y
zU@@=d88KxZJ11&;MI7E@**-N6fyw&N($RhD(YsmfGuQLpGxi<Wnak0g>Kl5nKZ|Iz
zwqpj%UHzkWc=QVvv%}bhEm#kfqz?}4lAFdD`PHd*(cdsvqI*vFPhGhCuK36Zc?#R&
z=05v1egHduu|zc9TNldGeSGd7oy3N+32Nic!&rfE?#Y>NI$(>5`jxayU^|YM4Gs~1
zVMH;@5H>FzNL9KX{7QBL>wLgkCB8O>-F{T<cWa0a$N%Gz+-MxfHtIYN#*O{O;+rIB
z^#OEva9{cG>a%fdjn5+w{hPo}-xm@vU!cLkPw%r!HpVfd9Xc+DFHK<uiEnO*$I;-I
z;*hdT;shplZVZ>9&R{o{n;)4<(qNDFuS<>8No?iAN5#3(SxlP9+i2yc4WZBdN^jOp
zVlLQ4D-AS{9Z_C)zmTK_Ntc@AihQOpTDnS>e%&HQTO#dJZ`#xY0Z9!O?P;v_iR<l-
zj%AG8pX;H|LWQd;Vda)`GuRB9-khN18fH_a*HmV!3DI*At6o~OSX1ZP)m=#&SiM){
zrL<%Xa1U%`Z}FYO`rh)8YowXMrLE?Z;1FfAkJtb8#pf}ewDW0r5(@~kGU|;@DR6+S
zayiUu5o^$y3csts2IbLtJ8ZJlVYoeL0-s*O>PXx9IKHsMa3!05D3dy*g|y9ueO$pR
zDX$&yN1T8-#7kt3kzpa;@0#V0HS7elfD3ygH+0$W(JC2I1C5JSKa~kg5Q-WFJec^v
zXp8T3;eIuU5XdS@+r<pa5$xH8Ap)>Ca&o15R25cP7a07tEHK3u_m?GE2oxR|dXz+{
zg3_B>QEx*wC_8fK%4IGQP}W_KyC|j#g!rMEiXZH-#YubK`4$1bNtySadQJihyJM5C
zHJtDv-mfa~fEcv*pQ&6wL4usf{5YN(ZullM8p7rz0em~8hrbw-AmqQNPpXD^L3%8K
ze}|tGoG^`&CJK<CNMf2CVlM!`&0q7Q?#aN?#+7)lMHTRN>xys*6@nJh4&9q-oBE`2
z)h>BS1%7^NU-&mD42!yNc}fBlVfx}8+(L{5#ozTxn@$kmyI%-L@OL7##GZ0Yaw0*A
zI4_8*ib33Ij>zug%3%0ci)-6G65KDnpF6uQ4jztQV^(BIV14gFAcvkR{0{&C|Nj)1
zcRbhM7su^Q_RQWNe3p+*pW{O+*&$IRq*P`o74nS`Ei;Og$S9+b)%zAoC96WVqLi7v
z{rvttf858t=bp!TJ)dmd_H;(uqM&o~oTAb%C1Cn`Op@!b5|GI05iTkcFszSF#(hwM
znHpWg(_P9S{L+O*_L3yLC}`*V)qn$yJpyUnbgEFM<)<3CEDfn9#1Ywcb?|j%qe}|F
zLF&Gn<5E_#kS)crci<Nu@`Y;SxJl~p2-BTD@InqcSDOpA!--&rzhZo0A0C+LdX|2w
zD8NTcCVQ1@B$x>hljC$H!duI#ug8iMfyPL-&I}_14>9Ge>PHg9Jvq0DX(_|M@&#~o
z(gf9WZ&)l(Yl3+9Y3VC(R3PiCidGvR1&F1SC_-NgM$6Xb51Zk@CST&6R|W<2@9!%f
z*V6$nLeTuF8Z~H&v9?eiqd-pWBR-|$dce9|?rzJk0WVwS`v30KZ*=($4dfUApKH5#
zzVXg|*>h#9?oz-)<ZM^jj1im`Dm$HJK!ELk_(AhAP2fwpz~L?dK*}`Do17;=o93sM
zn0_*pG$fs#AR5CBXfPiq5aFm-Ex-2_5)3I!tR-pC;Ddqt;4K3ph;dFnx|~M<FNyOG
zW~?R<!)4`?CQbw%`n6`3K{beJ#+&z6m;m$7rgWcs1W3udVi@pA8H7@Vk8Wt1!rWPl
zqHFnhxO?p!+3mhO_{A26l}4DtbZ&&8lD7ub`1|blSd#)P|MLP48KzKff3aWpry7LW
zQf*GCion;UJGttyrttbnLg;T59K0TM$f0B4g~z+{!f#uf!pH81)NnHu5GbchsdZw6
z<=gJbTgxV}o;9X<#9Rq-GTioe%*|3I-J93QaVB8*Y?sxRu>#y)NqWn2tsHYTl3wxS
zFoFHGL#`oua!@?;CfhS<26O8BT)`AY11Be4w{d+L;ApC56oGY2{q1re-=Z-%aMf#!
z+}{nws)o~-m+8?G?&!rxZ)1oX3uLxh5QVdji<1Jf%xI6%HHt((fG$6iSmHGyIHigh
zDR!(Vp6F~*V-L{B?tQe)jvq>1j&oGiv7xMMR);2Yso)!$`-G=~2NK7cH}n$Ok#p+Q
z-O{2xz_o5SJ>t#|W!1aCc>QHZzm6$?<9uxd**sj^vJp(6^Q>3y=K?$OS1L4X>NAAW
zRGqSeLUhm=Y8zbno*n(|luB}7GK2~f(x9~d3e`|$uH@?lc7&BQN^$ELz$u9VxiN`<
z)MNeoJzK@t(RcP{zz6BWmX3{^(xowKg!5s=E3eql2a8>lttvej_G6EyCw-+pOTRmq
z=f;No6vZ{$nDij>>GnY9su!lhS0H~!gbfWBO?+TJq6>2mGC8AtI<c=J7CKSCSdnAG
z`(^Q$IzYRj>M?w31RK~8eM9JAMU(WKcK3yJph!ujDY|nUJNCQo*zP`7l*Vv?L+y(8
z&iq7Wci)-8{%(GMJI2C>ObB!?VSlxN9HILN_hSxIl)xX0c4R{&-M2%Q$FyK1+v0ff
z+eNHOe!p4tCpP48)^aKI8wJc2u;+rID;V6?Fjw<tM~Z5??mc!C__UcC&&|1xQR6oM
z%fxXYuWp>4%QsC3UMlf&iQB}Igz!J-g*j2@fQR<VQBA;St!>V)Z)1GY*DKsLxKJw_
zokRH_GAzFHu;J9EM{D_tQe;1F<a5L9OWGwe^n7wSO%7l{^@_g;g9AK>+hY6rTYfUs
zTea=I@`4c+d8ekw8Sx^XAKf>dN=Q&R|E=UL9W$a5o|d>M@S%N&!VV<blE5`bf$7;%
z7KFR8R1~bhkNUXZy?nGvgaa$Ge;PirqJXY&9ww>)`g+5Fe<FWp&oQ2_J8#8~LVIm$
zEP@45(W?(*ACD3tP%id@*aQbEk@+WF*ery$p9k)%6(vGGyXL3O$6Tl^zvt6``XXr0
zW+K<UR|II6(O^GunFlR?BWIenh$8yO+!}T^1Q<!|`c!Ygi|UGuFpCIr<U4rc3TX`w
z`lT~UdKP?W&?k+3*nT%+$+YfgeT4_T<q0v30Dh#SVm{1cC4~wu<!epfz(cUGTcBXE
z0LlnXj&ISDK|i0gjvTyzhs;i<e!DF}l=$lgHtHyg8We<h`XlfV_{FJL^|Ua$7+d#1
zAzltKr}5gAJ;4K)8iz#TlnA1oTWMWrl}Aw=U8dSoc(8G`x%n_b40&%R3z8KSk($zG
zl&UiUTpFXR!p$VmXfI~Q7OR9ZN1BzAW(gqaR`JG2LUQN5rTxvz$|!c`Ubd4n5!h_S
zB@8*F(F31!yVriI=yu>B<?J^i?B|ml<cO0&tggq$xBlYL(ktQWM`uWIE6;z@AYB&W
zl*4Oi9_py6@IdIa6dA;}UVK_9l|!DQv4Rcl8pz<k1)Yi6o%*b)`HyyabmKtNG!92V
z^Mz6x1wS-F>2Y#J|AGQ)6BakJB@<Eg9w`pr1q!@q72w<!RYKLXGJ$k8L}aXdP|QzJ
z8{EWieu~#sM*Dp7bJG+_=;x?VV_c99Os6K-&04CUJ5uUtCwxiBTks7pW1lXR+sZTj
zwo^qR4Y|Ryi6j)hM2<V+s1Iis{7xqW4p~-T^vDP&q1eXU3GG1xxN@61)VWIyeHR}(
zCT>VVgu5~=H%}WujL)7IvDIqm39t86*+wFw#HD?kpV|Y(=*E_Sjyf7TEiKtCOhkjo
zflGi0kY(iY35!xkg@-Mht$p!``{GH$>0W@$?U6d|bafOYwR<AlK^?s=AM~p7HwKlQ
zq~+1`>S&9<gIQ%k73pxtRos|1hNU-F5eA~_=w2?>-N{uMIb@Vy&$Xd}iLF=i$N$t2
zLxob?SfK(UMTTkPQ)p1pX><f%i$nWvygoTOD~qZ+6Aim-X%O-J@?u+qDhdj^b$d^O
z6k78C6H(nngV9HShX2b|K`A3j6NzDBh-agbDqTT?WMW|?zn3x^y_d8n<f9<M=go-{
z6KTLFBQRght%Sk`SATZg=0%e|(c8(kG`RWr&-=<e1>{m$s2T8r9SI5e{gPp!K`-lh
zwLu+ugkzUktFvQ7Ymz6#VxJoWe(6uEb+arQc70jfxwwv*Ty08FvoeOabxC=~t}>`)
ze{Mgk!8|6Ee0hE4Hvmg<zDx6_B-&-)XH%Clj(HM(`W*`g&?Y=Js5&ZvYVezGX`lPB
zRAEm(GXa1H-QAz=4vC^~F5IUJHr`|ULmX-jHdOGM3FCYlFO29OD&%~2Ps9}DnsxOr
z?}2+)Jt|n;1rgnT;=8ogSJW7NN8?vTMo>M_8H7Cek-guykw)c4>Ze%oea%CLaE?D*
zK`x0G{bX4<>;C*5)ko#J)wZZ1(D&%&&h~SohDDCe5ByD3Zu`;e1&0klGJt)$a-0Lj
z7_!;-8zbs@(Mt!1Gxgz_0x7g%FB|G&xW0UduAJ%|YJ$rg(}RzVN6*}uVMdV_wOUFc
zG%O<Z%d<L)9>}OPTq2GzB3!!%v1sZgwl*IZEfJ>+uiVb1ToGbGT$`OG)Q?Tr^oGfB
z><=Ay;dtkd^>sRwW%;sNXQUmgX*YfN6?DKuS~5(>V+*@gDj6{@*o_%mrfjr5)`kQ9
z8f&7`8<_C2VK$%d0G6EhlEs=+8`|ft@)GpcF#XBrxx=#~m{U@zziOx!>>W4Q<SSUg
zUa^XhL$$^*y~em6{ofRrIPu_?i1#wKEBkk3`L%JZxas}J6D}063ZyS}IlF{i<v-Hq
zKRkimyQZIg?TaSVb!g)o$``SmQ~I827Bd(f?b*KT)|%kl)O~1;vWUs*naMex{D)cm
zRg!UNBLho*#6|z<1+3-rL+W46d5qKL(Z@bJGDKeC&b94Zz|QX%_t)iL#J2Cd?dIww
zLCnXZjqsHP?1@)L6gTrSMvY09>GdRm&EcMpF(!-H090MQ%e#tI87+~G=853VkrQ~o
zW)V|euwOCLTgPUKI4HzuBJec}^xi(YgxNF8EpGj{iOKkozL)KAr0t7W;h$8NG5gF*
z(xZ#p7@eV?R=hU>7K(X%O{G_`Lt^Q9hUWC>OYLOz&xd$8tea^Z0jn4-{S<3^IRj!<
zt22!s(SQkp8{vB58n!BK)zhZKgs_iT?-NxGIM{NRG|9SwRfdeDruH+VG|TejvlrDN
zBk`8Oo3c%;tZ=%iI+qp6+@H}<>QDpx(O%EY#BFTU)rX!ZnH{}&xX_0use$*Kg1P-|
zbV%^v!TW{JIZ^vhyP36nIKb52J4!FmqxKJH9Vb_~QN7qFSqUy2XcdGOxasW7+bvVe
z+MPU{3*Ig=j#Y)Z=+I^7OeWOH`eX0CG(L1U_y~3XE>*amM_-*Q$ASVn1Hzv03!tdz
z5A-^ZRDkJLvO9k}D=OJ*Gk>Q<5XpCnKeeE#z}_(GpXxkzlwQzfq!b{G$oqrev;I?t
z9M7b;(*>MJyT1J-#aR?RRgODHDpdwk!PV=A1KcQGkgYTJoH*)EFx(oystm6+GYkoG
zyy*V6yZ4u8yHWDGfPUF2WsvGgx4Rd>hf1w3>&8k-qc4|i6~n!i!7-a!_+^kEl~TUE
za2}FDo+k5V4Lj$|&~9F8KO>0FYwrKybwCawRmLM%Yn34)Nf6G63!|ZXEJbRc<<YQY
zC7qp^3b@y0jMz+ypx18=Bkg<?(JgM<^L`Ii!0g1ATf;xZQ1?Rf=>lnGWMJ*iTj8h*
zGaS-i7`G)*SMr0V(Z4E4Pu#XCnTCT~Sl#svkU~j}p}(!0acC}+m1V<64T^_ah6U_p
zP`9Z>N^rS4N@%LfknL6nevPGk=X<h9?tVN=V-6mDb-GhYxrv8>-LB^fr{z#Y$dIqN
z84(4z-zf_`NQ4JQN8g{bRY2zdCXD_glTe4mxjMH?B%pho&a+Uji1KsWCM|f#DAfL<
zZ($D^axGo=>?0_n2w9B|vvxA-zpHfUfd>T&gvG9NWvif&p6v@_zM9CmMsX%cTpOI5
zGXgF!<524zfvDPkO%xpu10Pm&V2$zOx8q0DcKX0XkK?1DX0Oi{vdemKvgl@0$Zd7h
z!NQQ>K~F(%mO>04au`C?KXdxhYz>qgUSXE<L=!nCv-2q{?t$jvSM?*8@W?Kjan50t
zj0R*pR;I-P4!-hjh!)@BiM=A?)f*(_#eAYwPRJOJ#7$Dt0|_XmGB0NRB@tOv9P=7n
zHilMnzkt9i1Y~6!QZ07`kM_QPvzc2%11=93xT-@y3HhyC|3-1h#iyOO#L)yY<yN|D
z9^#S3*9wl;BxUsBj~(}e_a>ltnBhxVod&Z0vZ|7LQXX00s-Aaqn!?TEt#kHw)lnMp
zIMZ`GX*7A|Z)}2sDd6?9T&&d8P<+R8pEKH`C~EG`x`mJ_ygkf!nv$f7I(yAuq!sfa
z=Y5rXe14k1Gj8F~v@T`TJ5^_rS;mS?xXOenDJGyv;`5eaP(lIB+wJFc*RgiGf`vUK
z6Yv$flG-Y(fJ7P3q@BG!icPA^Mzz$_U`tiH(HrE@crW)OxB3?9s{Z<d2hiYC#*?d(
z-ZH2wipwksKSiD0ExepjZwyR-56r#Smqdc1L8Z^QmZ|SzOq^KtjKMo~C3d7k3<;0B
zhoswWQk}bxe6g$mxYhgp@UzUFJnh)dKl_6Y!mSFoj41%ze7#)W4+Icjfc>*$#~8qM
z<ffp6FBKk$47s&_=S82L9`JrKW(3c>0@)=y`OEPkT}X3>&*gFj4XVo-!9(xIN@ubW
z=s$K8dB@6zrixbl);=>r(VBZ@a-|{M%DfKZ1B|F5{nf{(#f)H!j)j(u7(hkxe*r{E
zI%M0zXYJv^2<&eidMktsz;Nk<#q+DH*ls&bqaFrED7(;NBVwlyhgK8c7)Q=yHPzo+
zZPFRQ%g4UoG*u7ID10_$J2;8O;^YPN@eE+!b2PtfL>Gki>Wq86`GHM-3|xQQLJuPS
z@wh%sT~N9=^^z3*75j2m8eUwa2eI#oMivP=a6IAONNaEfMw!3O%&bojX(zj7v;Jy>
z)oA#(#|cDzKb#fG#77ST0^L>@taf}b`APkf+gIxCrl2HEdU|l#>ydb?N(-`-qU~v(
zL)4G@_AkA;=)vH|=-XUHEy#Y`5b(Kblv*G3G+{%N9=1ZE=)ZId_)U!z_Z|L2J@FJ(
zZ(g7WEl%I3^t_b+dr+if{uDKM>jV9PetJlE;e5SuLlZK2UvRbb&r&mwJ|+~pGC)?-
z=|*QRO)%^kysFziN2Sl;ee#cv5vnMy-E4QraFgNGRn^J`>aq#XEtW<`5WYCVv@S-5
zDf}ucHFb%4J6$<?@hKB1d8Clk^GVR#Z_k_-x<VBeqZn+IGQ;K8Q^r}kByg;{z%+V%
zjjFKvx#jKv3nYbyop){}Ld5nTqyL;XsDJanaRd?Bpyt;f`oL2}(2Aw|aL03ts$Ty?
zFsq0il6Re$*<vArbIIc)k$dSN|6<qa<F=fT_RY!8+@1gqEbYI)oT7)B>r-L&3fwTA
z=#DAp;z44WKTa*10S>an6?!P|0>@`T?mSx>z^}8Z5H!IE`p3EIe>~>}IX<=h$tN@*
zFe@S=$A%fAzBf_B$N0cpTAD4eQym&{mIALkSYX-di0LUk0r-}prxk0Z4%aGDACCpF
zf&PGa!lPnA7|7<Y8tYaAdcS}@mJ|+nIUsvyudy)Pnzv?Z^HT%;*JidRySc#WUAa}r
zst6o;d(Hfvh#I6yr`h2(cwocy0*_O-7~DwN3QO+5!D3Jy!BmSEzQ{*Nul7rTw#th1
zp==!duD%s9afT1leJo`4xTIjQsiQvRKO9^o)G%Au@k0(@+tWjuG9YE_?(jVl2l!1r
znv#kj7^+vs7lp_|(BJ#cjTtx?tIVI^Efaz>9`8=sx6460d$Z{3R~%TB49;J35`k|e
z?8ywE03x&n=1NU9z$tofR!WP3@T2t$jg5*RRb4bwS*r$BH1U0xStY<byYX`SQDxu*
z3Rxpi9Y~1`a*Di?kes0~YR;?*E{EHli;rqR1q>Qm>q)~@6(0+84GwCr96~Ht@t{z&
ztDzgoz%4MX(G6Ayfp6?nf@1{OFxC?DnU{q`lBUC60v^(CDe92k6XBugOJ{$wJY2i^
zF)L({0IM;c$peT4ZFJ{z<S!{e-pth*|5_rnwIxU#93g{fQO(HP4~l@jkMySmlVGBk
z?LI-30zF}s!J%TxfG_>jA0|i!HBHyT&NM9ut6huO>!|{Eb6w6?Z<FEFZ%>tnI2}+9
zdLyvwu_`E?4iKUalflu6=W0X0F5I;ixLo!b2i03|nb_9J5OHj<eK1cSw&VQyO#0N|
z?0$)5=kH_~I=7!?G29Tg7-?p~Z`FZj{_EO@U^4I?E`0aEX%9&7KYcD1rU6Y4ZV&W*
zCV}q)%KN|%@G$t4?AuihP!;=eqWK3A<_emPtR?{N?q+H^tB(f*_axDRAOh&S>lGc}
z@vpKhDIsMYJV+9RpM<?qhxu8y3$_k4crNRD_tumK82UH=(R`)~?uO@BhkI#oDW3_+
zx@th}lLI2R{gfbAN6NF(zyvOn|27#VsDrhFU!t(IJe-KP`IR4H0+Dfd`~F-}gZ%c-
zd4VsbK|RD~>}i4tP=nt8bTq($jnkT8MyMFD%gb>`N18y+Z5|(kRuxE(sU`=M3qVT2
z%FM}~{B=-J+}drd3<h0fCTSLK=;e^2nG2XeV(-JF*;$IfF+k}JTx10M%khl?bu@sE
z`q_zDd3a>=@>A616{_A`Tl2gl4LY=YSdEP3fW_0AQPT4_HQ0DL%=@=7B)3%+-A<E%
z;|?OO^c<Dc`W&XZmjTAm(<`IKuqX*p&}irRr5AGx83%?{fNb28*o%YWa5QuNkY3>*
zOr_HHVod~q#-+YV^?4D<3w&EMdf*>ca9&j~n-!p?PtwX<R|sa0AI;))S-^@;$^UpS
zPlbU!IflKZ{2+71+|l*m5;it{W_S9YJ<$47S4GT~7kC?rELt3wu`ced*Kx;<fNmnA
zGCP6`UhFlFdQi5E>35PfHsTC{dhh$n!2&i&wdA?s7Q2k8KMht{t1$q!At_ong&72c
z<0tmfEn~;qPcu8s>qAv@mr2=f24E0SQtH)N!uWlfgg%n>L6Ccujiq9X%9F(_^?ctV
zM$nv2T)3bIpK{K<V{cofI!}ryP)!yv3I8(VkS1Ml@WvmBzPLzjOJ@E4Qg0s96Z(2_
zMno4hETtB+^ZrrApP0Bk(4NDrc@`F!{dM4#$WU$Fok?ob^TQ94Y5%ay`p2^;KWjr+
z@C;)`-Y;rJ$D(Mr$1HYPG=B6wK^wyN+N5^`jZm={3YJ%mX0Q(3(X+o&wcxPiN!i-Q
z@6__=AI<$Ir!do|EA`hIwBWP&`pB!A4ywiF7$(7<NvuF~{(ER31=<g-(CM2sQN1Tu
zf1YHR#GYi1*TnwPgddD2%Z$#HQA70iRl(T_OnUj=g*&dA@KU}<#B(?a%Ze8&sTG>Q
zR;}V<&-Ic)x#)0vDQ`7a9LviYv-KBKuw4?|I6{U)vGq?#kDIVO;@3QRr3viv`~CjX
z10-lkGuq>|{u!g%(2V60Ca|2NlaK2>NDy{?p(uHv6MGaaN^e4(#HjTzMQf*s;CeRo
z{-JAK*hEbB$xQw!tlPoHk?9f<@G+!9W5!-AlFlu$L~|NzOWD``A14vc1Zfu&eFm`E
zyB*HglV`B`XE}qGdkByul7{to3}Z&eO*Y&zXR%9`=dV?t!2|F`={*(vfyvdMI&OLM
zANJ=@XtH{?29)!Z*!}+e6PvDeGmp-l!(L68_a^kHgLf~TMsdm*HeW(V86KL)T3$~>
zqlh{@6Az;G2mHng?Sj5#(iSn7D0}@kN7aDA<;}S1sXtgI!;wVywk2#ZSL{G&J`Rjk
z{oa&^Phf+Rie$^U6-*9~N{5zJclP0f{cN>USeHvp@IufUMxryeTeDOJN4em>0=`*n
zH`DgAZ_);4MW0gFTA%_P%Ks>HuK%#Txo1V)Cbux!>c_BioGMV?RYYIfJcsG89BJHq
zLx;Bdt`_|ZRECvO>54OU3)q=a@ef=?22^ocZ#HUJ2|N?8{hr!h#H<fbE@n0`qG#h1
zO^5B3U?C`T^uV`eY`^L6f2NVlNX@U?<yEU9IJ@K=81GuehCZF8()+NYv0Vr08Eh2c
z`~IAQJM0_Sc6L)FA(|cK6_oEQ>QMmdbyb;*fm>KYIXzE$7bp6y^LK6kX$8>lV?6Zu
z1|3Q+j<NCg;6X;mr-YLk6rica(4Tjk9`RqG=YO8gi~Lz;fB8R=hZk>RwtG_<k=e6b
z658_oh+;+yU$&Ena9@bYab!lz&ZEo;Uj@*MblmGJT=LM^J$=T4#)_U8Fph|p3ZZ+&
z1rm?H$bmz@M=p;mJ2JN}%sEvpf<#50+qo9X!A3Z0@YwPH^2Oe-Vhdtuy}(+DJ4p@{
ziVMzi=<=WtrBi2{Ja(f40>R{%+j5}E(*1oSf)~lMzYyu?lt$(%yK>d@<RIQ)=4(DP
zKRT(MO;@`tgMR&ZdYrjO4$k~dbk8giKuRe}NwKkVC^E;sv;`**2{krZZjnOh4$sQm
zZaoF`Eq=L`BUc^<S<+(c!$go);Khgpb|oa_bgEOqe1|VC3#%q(iy>OnL79Im%4mVo
zOLtO15zdF58OZu4fhde7oV+{U+0^Q~zOKLXkFm~bCjz9<u;OFNl&U%!!9}qSrYb{!
z^U5>ZTQZ0sTQzR!jz_eqINuawRcO4s9~)kmMfmxNSrJ<z^7(t<Rj;WUWLlrZWnGp>
z85y4#W&BAfIGS5)tv~~IO*Lp|@F=32oQHVJqsd78YGm|9Ln6!@Y5o`ZObNNt-}b7x
zu8Ar>=$Pg9k>K$aY8w9`6(pn^@=@7`f?{rZa+to*gyEBAo>9xHXs{t9SXWvL)etWI
zJNQNmNU<f)+i$C(Jy$nd<kGcJpZcf4t!<s1zH!d03TPl3VevTJJ1vA0ukF(E(g)x4
zrU>-_JknGspvd0WLJLRv+P6jwA;q<NE&4tIedw+5rSNK@t_~LCwi8tF<2kMCYeGbH
zyxH^3k`#0(y7;`&_>Qk>*=L2_A)>K|Y+4NO$>`ZbE75H>8ZdioyxAxxBDpe&H}OIw
zq$sA&c8S#llFaJ_>~o1o;b3RsEeakf>fifK`fdV&yD#WUdlJ!l=GIVkw<=PO;+9Ac
zF$Jri0>0zF2&kr6NaoajMbt`rnlaO73h$>?vFsu|>RCPJ!&57Ru6QL|#j)=N)7WqC
zuE=VjF7rzVm0pV?zu@A-UW|JoM$7QeBS$qP@M7PAg_pd@OZS22p>|UcjIV6@<*bSp
z_=UuAQjAC`NatnS1yjiKKK3(qk1`T;|1>kOZvsnDsLdQ?Hih4l8U8$cipZ3kX;JEA
zA61?3eO7FTLwYir!%h#&Ax87B6Tdx{seukJtT|_B(CkoQAMi>B4Q1fJjj8N-BBzso
zmlF+ICpZ->_e!Gw0RRC1{|uLRJk@U$$L(wHz2~(q?!B%(zQ-t)Ldi;stn8BAuSiRZ
zDD4tSrIe%)@_j<Gk`anBv$FT*=g;S_=RD_mo%4Qw&Yswk3}+|6LYRvSvBC^u9MbB1
z_KKk?ro9xpTkKH4Aw9WE(+r+^uBDPvgwUC+0o^MsTyXc?f7V`)0h+^XGV6u;(WMl*
zvXQ&oAagn)>Vq(VBjdY<v(;QkUtm7GAeIMuz3;uguZn?2V4%R?F#;-8FV=A%<^hA<
zv_n_5O@VIeYX8&w45)?ux0}TR55)a@Q`E7?1YBh`tvv6o;eJ+jEbKKrP<-dMT}7}l
zlnH)Z>YAIy6<JCyMnv&|gQ#@2XSxyCRJ)cw@f^a{V<vlP;ykddeZ!^pry+2_q31zs
zO?d11imKOT+@P`EIl(4n2$JrM1u~g9mPHH@s|(<U0OM!{JAVTR`|qyMvR*e9lz6Qy
zgUk&j3U1GOaeWxa+lTt(M=^)WkvL9%ZYa!uuqYv=50AX%hh#)&uqcl%d37OfxYLlu
ze)gOmNct2s719>4DSx8!R}*d^i)j@+9M^@(S9ZTYE-zz$n&w3FlDVPS;#Qc_5nad`
z@hOT5TgNyvX|LAVctCZdWOrAa4j9gU-N93|g>lD@2;1cIK!f|!J8AYhz?s8NukT9_
zJCCOhu9)+JAMb}~gAN*m)EHkY8DN0Ma%qXgDqaXXxFe>*odyAY5)-SAOmOLlMCyPW
zAAFMtDc76UhO^_62STcu!I7x;FO7#E(xy*6eS1+GM%Oqy74-;k>5*HIZYMtsw{kbx
z%W1=#XzH)}*Q_wX_FOc$TmXchaHTs{QX#?5C#q7D9d2)i2+ouV!hX{8C5AvMgxfKg
zDVB49Ye3!O_;w-a^6@_NMuG~K{xP)Lqg;^GFBvk;Ap%#wT%@aRp}_U^G65$M9yn{Z
z;lg=D6r=^au)0(V1TXz4lMUmAjTeHVS>MFK+K#^SfC~jU3di0J`SZd2j^Vc<t`b0b
ze%*stjRI~L_`MTO@`GWtoeBr56r6W)ifUw{K%3-C+sG>daFO_5S4XQfe5&Va2>(Zh
zw;SXb!h1pZAyKk&>ZmLf95{lwev`pmqEEwbRtStGm{mf&<Y1}kQ|zZsGPp4>FlX!#
zfuBl`^1PztVa7{Ls9~547t)33Bj1R^-WBGG)AtqN)Mk$0<L!HMt!GS6YKX&XL-vJZ
zwTf`N=B;57l>!af4hlsT5}@ooEkb1^!sF9lcDy`A0fS#J3b%r!AoW9zr`--^$SJPW
z7OSPe&fY4!2u&HNdC|XacTEL2`}yZGX;hH%6ppkxCkswgPV0_VRoLrhdbhra3a2G=
z7=^>+KsfoJ;2B|cNEE5G8n@SmWwX@$<sf<J_FhJx_mN=Id9M>II}LP{ssw)qD!_S}
zj3z>;224-oRle+`funCl0Yk7NL=|3}c^0Dy4-9Uy7k|-#{cex$s0Ay**LzmUVn?)~
zD)?r#Nu4fKIpn`S=0}9d{&7Yk8yTXFlejE~^q@|cvqH&L8Q2T>e<kcB133E~d@O7L
zH#y_${Y+JWHz2U-=rJ;Ajo7O9I2wZ5wW^ZOT&i%RbmsXfXEHFWJlQhMG=e@=ncvBk
zs^FQF)|RS723_oIdgY`stVOH~n;lXEo39>91J|{n(4k~JT+bAA_6u`oHK>6=<J%(w
zv6>*Xkh4+|ib2q*#S7AQU#xvXGE*cqz)WDQX2Tj_@miwmL2Y%Qj~&&*PN;)pK=sI}
z?*L|gBUbHl>L6C+U0i-q6`oZ(RcnG7SZgQk9O+eqXOBdfivyHFRbjRC*aI^VW!q6}
ze^L$n8S^^YsY+1PBE)OjV+K0ULQ_w+se-^?b=%Z&dAJdUU!~(Phc^S_`w4uika$Xn
zemF-Kbn6@MFG-ujh798&4pkMHA`v3b&r1U1$SF||Nplzq_bhQxP=;oP>pIjnQ8;Zw
z8#H7#hijvHQ&ucQxFOAA)xjnN-F9>z3BS!CbWdn_*iS`hxWGu3&ESKgvmRTiS!U3!
zb3ofBLjeT)xjxxpT+k*yr}h5GcAer|CkH*{fu<sV^Pmtb)K6T>Rp&K>xTn~q4=UU9
zAb$Pn#3x4R`}5;WR0)6_6RC(WECUy!cRk_Nqyta<&{XYF0DcwGBk3tppkIgHndGiw
zmG%_xMS6fQbvK3X9h88$EM4ELR*TrgqGRKdB?e<zq{TmaVsLcPu2+~ahiSQ;-ph5-
z6x37IKTnv5Kw)q(2V>PVMjgX97rvN)f3YMVr=Jj{ttpqBe>aJ3cnU7jvzdT25_JeH
z5diUhZEZojC$Q`L*^6XsjbUlO$k0(LKXmq6S|XkatinOz^2}W$ShZwHj&I@x$-S?2
z&6_4Lt9vm#y+ej@p!Ry~SLJPPh0S%|a+|`WW|Lc04Gh8V$@qffA}6q}OKC0EOk=G#
ztRGEXH-Oh#7wf{<IN*driajXLV$J!za;9VY!1C&aK%yHP1U{^FiT*T)rKoN060+8Z
zz<+bYKPCyl?iHkB9lwBuz7@S3l&1$(k%H_=A6a1HNFaM(@Di3LAzWxAst0CsmzL>D
zn1Sz9W&F*vD;V#nOZ};f+jDoJ+C6ui3A{dgF+O;+hUvMll&~-9z}$%G{4N_Ns5@WS
zQ@62!`Qk}6OMyCYMr`GJXBQ(JugE;3rb`D$Wl2#w!!(E<IeN3`1|!%968P%R(8JLy
z)SVUHG*F%pQ%gR<2o?&q)(h<nz-P#2kvXCb3z8&l-&2fmkBal{uwa71`kOC0L$txQ
zV#MM3Jw~vZE(!Qh#SEs@ThafmQQ`KTxH9g3M&PKGE>CkK!03H{y$4sRu$kHRqsW>G
z%3S@tPV=$>{i%_n1F}>IjlOkEsGSMInI6kq_Oe6t=L-s7KT=>I=$hDc95cxFO#WqV
z;)DuIP6eVf1yb@3{Po<+0=@2rhTH?(@L4C@;>8*nx*9Kz{?;de>)A&OLCL%jp`3B&
z##1s>mgw0DTCoCuUw7;^#0NXv4&2wbCxd-n!aL3=Hjv;sUs%f~0BUBh4{s945GOYv
z&i#!YG@l>(A{HnJS|5*Xez>Fs?;{T%%(UVJ@tlSyk)uLTgcU9oa%cft$Wurh<%06t
zCj)<<7lEy@#Ix2Jn(%~&?HhW}18#LD-?dG|z;?D=XnBVw_{mMuzi;D(msn%gUJ(iS
z8uM4-+@=O_47XeN4fDZZqVAU}0V!xc|2}xOUISjV8u0P+3qZWy9Ltop3~;#8;-9_M
z0LM{x;SdKwh-A}cb19RBsLFxZeR&#?_T6qlpg;(oU!D%tnvnzJ-AuP;>olPJw0PN;
zx(Jkwa{MvXSAfk^gM=*>O(2`ovgkjHLgi+?Qca2?NXI?(Gw{`f8|+WWnW5s)x}Oy1
zwW0)fMkko?sqJ^k^Qh6ANy1EUdS+LMGQ>5<$}T+Bf)lsC^^~bgLx*Td;KH;Du>DZJ
zRkVW)a<{5}^oVZnyN5<>yQ9>g;=Q`jKr0!l7v-X_ZtodkA<<?|IuZy`%UQ{>6tE(e
zY#g<a2Tp08qvLTJaO(Ky(&XJ#`0%Ron}M$a>~ojeH9n&W8$Eu6(==_^Qc&+ONL7S$
zMYVZU#cdu{eJd{m8a%e;_>uQX3I0j`$>l2}!$4P#rA)96L=Atf;TYNG*BXD(F9QmM
zfZ<z(QeDW){-oN)t^(Or+)|OZDWD{t<NQHU9|~2NuD8pmf^&9UX<r=$9(PVJj%6Fb
zsh#^XnPk<VHu8D)lO_s$m{krR)iVNVfvlGcjOrkHI-EW92?bQ?&OGXGHiiVIl>*T!
zb?_QkX6`noz_NHs(@{TD*kO}&SlNXH?Kcz(2GYq8;zKMdo5kSpQWAS+842=z8XlLY
zX#uBv&*z!90P@R=cXyAH;0ULWOK5@yqy`DSx#wU8&qVhJJ?tXE)oDwn7!`GJ{%|G9
zu-^>W=nEwkZ;;@Jb+fkC6&3i?p8oIm0drt^=S0ilB0<c@t_t1?CD2ni6S(!%9F|wF
z=#clTLz{&fU+tJY#CrECmv@*$rP$WaY7aF~WmP_}BrOa3Sau86jhTa$3>~hpbK6TU
zBwxAzTO4-OboS5&%whJJ%u@=B3hchHUOU(+1kDHO)TBO}Lyjc-p7@tUC=vM}Xky0)
z94=;utgo2E3wSx%V59`^r?pCr?y|#F4U_SA%pCXw<aR_?D8MhD3nMNs8G(^4OyJds
z84THUI9cqJ2huOH&aszk*qXS|%bS<YK&1A7>)JP2uw5Mcsv|OswdED0e3dbSSOK@r
z&*jq4`^qW(W8YtluIj(iwE_UckEXe#O$k^_OGX#CS}+*jL2}s%P`Gyg)jkg~h)e&|
zO$d*`!vBSBaOPvMDdjGwGa(F;E|z?gr)qH5*BgIMbeO_`gQFTTTM*V$PhRP{_yecq
zzy6p=Zwg12(_?-n@<S1o|0`zq3$M2K>^@000f7b=*Rph8u+<qmTeZ6jf7zZU+2Cai
zIY(FTM<FgyeRKu>aCG6%{Q^?Qw{uW)w@&Ts19oVu@-!O|{e}BS#l9KuHiR$MW0CX?
z1mJ%YzIf<Q8$LE){|;9)goQK=pS5O&@4J&He&sjgpWhVgo1HKKnfj7Lw}cr%fhIK(
zQBsSyhdbqBpY>tBipwyPNDo8#?~9(fmgCD}C*seG=)?VMgAtnJo7mZ~2TnP=GH{-U
z_+o3Q9*BDhS&7iCW8?VUJDq;7vAr`ft1B(KkoEJ-u*o*J)Q4W&P9Lwpf@oj6KI`d%
zYcsQF?cpWt_1V7P+6j%AJx!c<Jwpdvzbq(Rzp;SnCoV5GakpV93^^yxaO;5as_bh;
zk$Fr7-HIq_?Ziq&8RTW+Xdtd)x;oN7i+OokRtWFu#dOv(ZORw4fh0Q+O_-X&MpOl&
z-PHy#>!ZfsjkY;;l6G-Ngw71+f9rPWe(oXcj?BO2)8kZlJo;&V`t3BvxxuKExH^JW
z2NoxK2T{S_=7;Lc;c1MUp!4e7{1~<#kUG~tLxF@N$I7#HrZN8n+r#b*Q`n3BY3aSu
z6iA!6V>PNbjeS%~><tx~!R9`}!+p#YsQr<0PTyl1bKd_-Ft=nDliar%E|EqCr$?1M
zIeF8VZr-|PdDuJ_OR_XEC6b|RY3XmT+zj^n^CoZIwlDFpUOVa%sRcad1<Bk+GuRsf
zw>Cw88C&fe>PIg$LH75rr2gPp>|}D7^!+`n7=M#TX>P9u*a+uzT-iN`$tE4@T|B>z
z&3)+^kdo1WAN41bbFAjEKC=>uq|r@G<eWo}lotucKTI#V`Y&KHR_J{!qJvb%#Fg?q
zb@)S+%F`@Z#9~5Mf2*r70Czygx(tIl^oPr^$}28o61VMWY<b)Kr+Y*QbX5ZbW#!vB
z_zG5H`lv0<nHfaX+h+fis={FYfzsCrYuGu{>(MDHgl!+Rovct$1;5B8x#ai_OfHtL
zhoHa)ca?qn&)igjOY^>Siuqd@kMrqU4tqI3qUB-CRSp%<X#BIwo0A^WM(92gbGV>!
zlDc^5nlkwRceIjplmTQ){V$lx@Pf0&sU9s6Wq47gCws4z5f)>rc6B81fp6F0Zzpnz
z;JYiG^>H9G=nMatCJPDxM)q*<-A4p+ZPt+}4Fde=xL9ajB?zMBSqFmFlpty}tvO4K
z4f3BIC&@k(hQQNqPZf%l07ah5?5A;n_3}D(B3%?r?jJvW_M#G8Z{@DkKF<Zen@b4|
z-^F3qMu>5%w-Pu{D&=}J@xu3rXLl<pQh+`8|2^!g1a$Y}(-^$@puK2c=Yy{@V97x5
z&lsQt-InUQF9!Lchri{0`))bFVj@(wZY#mqaIo){1VM1ReJH1?ULKszvuZm1Rf3&T
zDWb?$7+MqP5VyY~WIiXh={pl)yl+5|Y9b0TKZj&B6p6rezwhL=Wg-l{OkEE=AP#=(
zH~Slxl|kvd{r$yyWr%7BD~wE$gb_QYntg++;Mim_QvXW@q}}H7?<`5fLNe*V;X!qf
z{pNjoT6O#1-6P#DRLX)8HvHz{?6$A?;J@#0b51SZ=90a%Jfs?V?-XMo!^43WY18={
z@cZz)=$(lQklJ`USc5<T&i_2ZLRYlF{lT{xdnP3ivy;2RMNfsRe=}w7+EGCLJEILT
zfe7yuYNJwys1VluS=GIr3S6w~j$=G3@Fd>j`bw@g?EiSUjxL!7mlt&JP}5YQ5C!b9
z-bDk#kFD$7VY+aiQ1f<>LmfV33rh~ZqCuZ{%8<%MePHXizTq240`c43*TU;*@WDP)
z(BXq2oSCY5F_fbL&teQTjULiKt?bOe@RBi1YSK-N7HLAdcvV%DFb!_+^40!mghB6Q
ziMD8>7BpgSGKO`v;r1!>nd5~3KP$OU-)1L6KuKUg_Z9^-G+&R+mzY7b&_!N46*BDW
zP7C@IO@?NlcQk6IIb7s2$TJZq1F_CtFTqCx7{_Q2F?S1inMK}XkF-E<!1<KvSygxv
z;pCS+V*y@6HWnTWny^=<&+dee5|{|8iZUFq1fp1ITjDPbh?F3&pR<;Ow{PxTwm4@A
zhq%WF3?fJ{5ce$8DpwqO!GzsA-V&fxO!jPt8o2OA3SY7n0HI4Wbv1`9A)dke$|k!i
zFczHTuJ>SrEBVTwocJt3=zQ0aL1|_1wo;1KE?C2ObQ7oUzP5l954&IelT`xny;M^l
z(2HR=q_2+XTEN6vRk>SI3PAT+BSlA|2Var>C_hwS4)p#TeI+t-P<ST0AtP=cA0HMA
zlT|Z^?yVt(ICp8t{h>B_!)_CQr7fMf^vDd>f@z2Nx9fg4@K*9xBLh;&J*xkl-wgcq
z>im^SBH&zOdSup@85ud4MEEBHc$e<dwjCCL(zMRjc_IOom!=uLWC2j<`(mQr#|zXo
zdX-uOR<!!#w#{MQZSShx={>B&38?K82-UJ8otBEhRB2N<bv4XpTA2Vgb_Yf?msrtu
z>NvlqX99B0izTXQ43N1W6TaNfirPJr77Y&@!!dKciDM({SdFCSVpb+A3f9it`7zN5
z=uRf=35Z+3P8`l3G}^_Ag#3MOf2lBpq4BCmTc0K{Qfhln`XB)r8!Ug#VKjuDL3}5Y
z2KunD@)^&Div(nEtm0d=*8sxS8x{B|->`$~QKg(z0y0&ZVX%Fq55<~a=0&~p@o(n2
z&fzmG$YXHx!@#^AL_PCLNpon!^RK_kJW|VojG0_?)(_}G+<ad<*{&ZCX$;%*^%DyU
zPOo&Q7U{y%kZU*p8IR%&Y~Q3_G_xS4Odb}hoGx^SaTqKoPvK7Au9h1R2q;%u&$cK<
z2ZlJ))TQ%h@yQgNs_9NZoo2X767#lie}8_}{P+TXZNJn)&mRJ6t1bC{HI@dGrfCmb
zmY49RM=P>X=eGNB+49MqO>Kyq`qxz-w2J#=)k<>hWkXHh|6v*N+VI__#?Ya89Vg$Y
znJ+PAM-scdw;pq712s_payw}YPoQOb7arn36_tS{5AIPxY}3{&p^6R(SPlBPW^y8>
zuK39(Br06izv?KlM32@>-?Zxqa-+1(4RTWz1rj@p)EKCYXa^ytg#QB%lGK!6*nNxw
zOAWN;e^E@xR#0AZxq=tfpP$RJ*yj5lDGA3T-<i?Zg?n$VRPiC5*5fQ&ugReAlv`7y
zPe41UMfPWU`H?}3Cu8GbGU#<)nusrEMXlG?Ry9NgQN#<L0zrN<oT%SL`njJS9nUo~
z;0h8#)gN6`?>y83hs)K^IaoPSxRZ(F!(L(3A}aipMNtcAlTK2u-CSrqv@HBsm?(0R
z%Sov()r8ys#;vzHc+jJ~3wwH0#nI)qfTjp<P2kI@%NJbdMW=lg5~CR;(V<5^|8>c0
z!u1^C6PvR9=)Is4<@lBqvOc~qS$I(cToalvn;#ZHJP+k7>Ud?5|KGa5xB4{TV_;_9
zfjmLvVl8L)i6)1FX|iF`BO2gQXi{)aLKsmw3(3&|@+cG&uWRDe1P`P1iup_t)Oq5$
z*}3-$$n=3;v6{UmOoc55q*#cd$+{W7Z`?{~vAp*>6RrtMNo-lYbP}l2*RJSE6cJTr
zN)KK>s0Fdv;rrHpNus!y0_g!$%IH?YYBo0~87gMqZys)xM$E@N5-x_QqS9S8%*vO^
z;Pp3h@o2Ctia69K#XqlxvS-tE>!m2Ldqk->;+!0kTQp~=jUb_$Z~33{w@^T|zPqP7
zT^=pcGQ3)*G>}7R=xRka6-=yj*;XnQ(2GM(hVLA-P{p)Wy4ZbfC@vaRnV(QZaYHdX
zpWBep(HUif#5@{=3GlwJ6(yowekh3h4;eXKc3Te{)PaqBKjT-JGAdP@b1}1}pigvj
z^qmHJFj8T*Hhx$I^+?ZT8>CZ^vbfwO{v3U{)h%i+?yrhQV};g<l@t_I5yJ3LW83q?
z{u7dQS3`YuE3ejyC@AE6>2*eA1bdcJ(^B-*(X^6vE@u=4^=uYP&^ehvS>UnB%@K8!
z2$v%Y=qTtqarjO3uqpU_pyh-Fk<iNIaL%v&WOOz*9&EG$CiYE7{wOCQ@wgv+&wp#8
ztuU|r?*jl5)3NB%PZA1J-<a<&A|Vs**8)Fd%|Q3+pL6-!XN=RxDSW3IvIySamB(NX
zHe|Mh2d*UaPj<TQ=_6$n)TAl?=eRk99#Gs_{Y4#hPBgabv?(IW)a6sYZ_Pnz-}~mS
z6*aWuzm{V`%<>3cgyc^BGzVqyqYvItMMWMyuEvSdDCACF)!pq}Da<7D?Rtj_k`Ucf
z%x@=#WI1O~)V7#I*itmNQ;ITLIeGZu<<o-5ttTzGHOCwX@8jP(l8MOVu}Qj*JTD>u
zSwN=0m-qZj3Ea+=GG!XFND=K<pV#(&!iskERBo`yn1eLAp}fON0f_{^q0<s&Kuu?R
z6-2+7fn@ZNwZ29<#GcV|>%Q3vzR?`vz4w?I{BdrUdhIHUe3a&mbX=zKOBGXVc`E>d
zjcY9`!%}Eng83{ltslS9FjDa)2_W%n<+TDG36$n_UsHOu5!W!3?M{#dpbw|byXS}^
zSryZ_uZXeOlikB?Gd>tJ{5kgD^PR#-s*QO^y2V#4cl7L+1J_N##w~wp7q1{vI({Qk
zpt1$apgo<+FEs)9Y~Y<n;74~_ML87H+p+&vcQVpX7(?)Q>BI{XFUn|}zggMYfq7K%
z_S7pFL&m`uvwj<#2-A)dDP`-xT9CZ^L3bkvY%^Iqy3B_1DTwHj{R8Vili-^3#1L#7
zH<ZM8ZgW(yqO_mC89UN@*QWTN0Teol>NfN-p*`URg~GdQv41R;k%#mRK*(<|39Dv6
zNrqoEvx3X9la@kiN3QCF;Q29oj!8O16HgG2amvKF=>yf12K0cNC{DZfd=od+UcO;(
zl#BNbJnVQ2da%|)e__wxHM~K)y4w@4z^jcov(ujFf?CqJBsF0Lf6L`8@$Xh6?)<Xk
zGJ#DOimHBAf4Z`SS7ocJMwqnW0e@R={63`vm4eO*61@w!{2AAS&Xg`(*0o1wte*xA
z!&h32&d=jZvOTuwMlb$>BmE7xBMpidTNr)?%;BP}ywV4g2k^<|_Zh@*+VE#zHBa=-
zSv=iS!ggQs5Z+z<bwp^FHv9{$8S|f?!QT*lY`@(e#UX6Ew4!=@pZt{ii>}PzlI`$o
zK6f0?I8kIHyqgMiWKP0v+ZjA_%f+s+eF|r?FMhJ#NCAaI3BDK1X7FBzn;wUfW^kfY
zzOR=v1-@Lg8hPY4gEN)-{S<~d{NP8&8Ph>BWaqi?dt}bwPy9bFgcBBUmXR#;xNtHQ
z?_xbn;h4pRSQ7X%hZpe#**#h^Y-F(9U8}}$e-=+n44r2lT*f(vOjXoD3#0}|zS!=Y
z!!^41Ex9nQ;j3+9wx7c^VQkLvh?vqme#`Mf(BnND_?p|~H-@(wP<xl%{I}c!{y8c2
zJL%IFZt-bRcXfsYmvR?&q*yNE^9u2AI?43tgXaU@GD8xS?EB%HoxFr+kBS7SK4w4{
z-*ko^PgDm><>U+oh84U^Ondb!i3y$YB{6FBsX<qERtIzDDn2sJ_t@YMGn&nfcDBOQ
zz~X#N&xPQ1yhpOJ&+<J1(RVm@60%jncqQ2Rd(b8>eCyEt<qvF#mLWrF<5z_gZLMd{
z`{|H^%hSDYhd2<Kfz6$KMFsSEJ>^Ri=+QxOl_Mh7+$iwV$Lx=+DzLzJ+cKhu0ezEs
zY#|iJi{`n_EOc)uL!zl8C(W4&NmAyW9`x~{c=ti;J49uOG!pggUtmU4`GNxfP6(i+
z!L&^JuSD>9y*H|$lz^y@>pUkFg%F?a2j~bRg3U{j`;xEO(0u39XRql*kn*7L%4Z4@
zj_>^y+WL(Hy^O1Ur%w<=tv6pi!?%>+RS=_fjT|@XdgRl3*GK}LZ{i!#>QjP9ORn9?
zj=X5y>u1~h3@P+K00030{|uLhBh_sb$L&3`h3t8`*S*)Z$M3jS1C<m-Qb`KQ7Am`C
zCm}+~P7#@Pp9V!}SjotaNcMP<*B@}sdA`qco^w9m{qu!{(eDbNd1XPIqmB<fwX9#h
zCn1f9QWb5u-wMDMUn~%2D1dk**Lsp7Wl-Qzd&enJMR+KhHo-e8h!B6f6eEiqQmXlB
z@#umgsQ>6ssV@~qQ9o28g!AOlySFTDF~f?Ws+~hUkSU68*;IJzom51(<87W@jZuOx
zibM<L7h=e7HYluLT^TtU+m6bdQid-~qfPh)3G~@+-C_4`94hTg-LCLaffM)7AMrdc
zh4L&+1e^ucklOpQy19=ykQLc9U0jq#E8f$koZ<xZ<Y1F_?*%nLO6nbHR<bC9-k@WX
zkBHb$inhW@0?0o-ax$S>4oN*tyOzR7LPxtTmL-l7VO~sSKA)g~_J2D$Qp-d}>D1mW
z*%A^ge%ms1DN{rmmY;QuM#$*zg)b$FWDN*byTRK@R7Nb%iK>Cw8VH6jAAT`Kfo?^n
zluKnQNMHO?cRG=RmR`P2ecP@DAFAXY2}!CV;jG%|Q@1F{hE8)qqE81#m2O(=`KzJw
z>OVXiSrjBU`|aH*lRgYfm`+m)@o2!OH1?Pa1r>Qzt9u$5Lgi}yL{~8Z-4WwX3hB~7
zIqmav=>ZsU`HGyxd#fW|6)DlVSu)B<nhY3f1&}qVG7XtiN4M6WC7~B2^y7-iy|iXy
zc)sxJvG6V;@>)4z_D79~>f+qgk_)J?N6ILn@jrDWskiqF*EcnkR}fx((a8k<;^%OY
z*VNImsYS=WWo6{6z+|90X#$;}t*1+#5>T)VM|<aAd1PY5Win!H3ieO$FPx9ZBP$J7
zz3$)Ah!9*6+vaWx>_mze1*e8Ij6FHx#l;YZUPUJF1yc~m|EXe$!=Y==htR`0e)R3c
z!Xg`H3T~Q-o@VcrkpbnI?;l2X<T&lfa(&4JI;^P6v;jrbWU>*{n!iD7IbhiLI?)88
zKORYJoRCL?2O?kXi5{kPS`_RZ65Bcda!HH#v@FU`nGO#8^#h~*ef7>LoeFOm9S>@)
zNF#UYbQ2Y>MNH3m-xW1JDk!jZj2cNvqP0UNe?#wVVh_@)oWI8y!`{k4&AXvuXi0@|
z`gI#UBul;ha(oNG=6RFrGPejaS5BEzI?M#(GI!`Z0stVE_t2AG0d)Isc>7N}7Qp9^
zFc?f>@U&%Yo_BN?Qu<Kt62Z<2mz+58E3-y$s1#R{eT)l<mL6+8n#>C0G544Qwhe($
zI)BRMEGv2t<X^DfzzWm3+cWRQ4B?b^Roe0|29*2lg+=lcR-h|d_;m*ip!(TS*6@Zc
z8i$Q{j{aFzczx)ey5VJgSb&V{d{<X!p#@Kzve{UHkM#EesYnlW-djs1(aq7s?|fRk
zm&XF;H!@B%{MLn3D-Q+vi(|CQPovu3QCVQEkI7n_q6>8sZK@AtI%(_sMl*0T%<x@E
zSB4{62Z*OiG`f^BX#ESj-xL=xgP`F|_0xWBxJejm)fs5R(steC@(X4LPZ2tJs;3Qe
z*B_4l>lnaNO2QV;xiP~>if6}@hg!fCow+EMKaO!R?)m8K#|+*LaKwyF3tmT>whexq
z##Rd6`Q6H42F{<%vwH(I!6QxkK>f=(teoj~X!tBML{?Wl2$`n9kemOFh+~V`yFtxg
zDW_N<c=J(1r3(e{!)phfJ}+axUnpe#Tw;L_@g~dNBN~uy{ZN@+Z4Eo%6@SP587t6V
zTtD*poCf%E-|9IK@E_K=EK<KWkqz7$NKGk!$Z++N`6ZX?O-whq(KaWI9Zsr_4k!ha
z;gaZoN7`5aVLB9Nmv_w^aKb%mBAJs6h0XB>Z?fs2<;>+xO$9EveICE}cP<GyHN#^V
zKhcBCX0v8>DL2FkN$6M^lE67jN7RI#5m;jc9n8=0Lfc&L%ZULZWE5Fv&YLj-cbfSN
z{=8if`__G6Hj)UrLbv$NXEFm{l&-7Cb3Uk*VGS)+Cqm)4tJiN<R`4$VLrCu7hcO8z
z@!7ZP;B)R6Q|%o#`18)?5`(xPm^wUU_R&xWw$9JCT&f%p^B?0^n@}NWKehYYSUCZd
z)<0=VPH{p9yKKGkmN1mMh<62I1Xxm6{)B7hhO0f_8VK2<aHS~2I%NP4`)VvVyxMu8
zN~-+`i;Ea6`=75GiNgae*>OVf-!9l{e<!MGB>^vQ;{9!G@Ng@iC#(_24+=dZ2e=$1
z;dFIuuM8d!nV+I>eZM3CgkXnv@Apc>qheG&E{z8Zul{4rp9EnziN8oBPzKg@rHF|{
zJOm$iDqf@tL;Te)!QVBqus7yZs{biGxQKS$itG{r|2=JIUvSF<zhySjx*QKr6BAE4
zN9_hfhKW;0{1o5_PdS?gj<D0e6*c^a#KGKLGh_0%B3Kp>qVBd6K;-%mN1o0e;LTCB
z%DtovK6<2I(vQ`Fe6v9@$WRI{-u+Mg=7tKGT(eL=c8mxwLh2}qWzxVYA^7iLtSb1j
zT$oy4B|_lwvFel-84#A3wU8CVgY~aBW2H4D;GGb=xiBXS0$QZ=L74>b2v5qRW{}~*
z(#zr9Qu3hkz4u=v6A^xh{-!KtX#jI?FQMqL0x-AmdHgCOLfzNvPetBSz}^1OmE%#0
zaPpi{?-OkjWM8q+`^>2YT#;w`mdcf&YD+miD4zsyD4zV%M;qAHF3~%7Dg#IEXvXX;
z2`seI5>uCSAm;2pk(@CVNav2bKg~`C@5QsPDR=aMoXQca*@pw>qhbQ)^CXa0v)MK#
z7=Xr50YCM*D!2*ugaqc0pq8${Ji5aW9y}`<Vscai{rnZheL^HKR7lD*^TME!vUTD}
zj~Yby)9ai$M1=Ue^z@;@0Ic_~UXhZ(gYD#?E~$h7sria~`PGb}KDqnbngSli!nFy#
zc52`sdV8g^$ryB7-x32CcJi$K$uh4~fs?CS=NrtZ&~@@b&9!hfXv4RB;MsY{SNMyx
zzfY*(Wa;W|)1?YlN$0!2(aFP@)hmZL<5cMFch~Y>z`>C465lRS8IX?ZEwX1efddv-
z&8R<B;5%;eFg{)avLE>?U1Tu<-OA5}nU9qrsG?S8gen4+4nG!uO;cg`w)mXhUL`P!
zt2g-S&JV7`)ZhoTRA{<+>xf#n0@!sr3cu6gg6aeh%Q{~wSTnwRW^+s)j<bJtO=w_(
z2!pZYXh|x3>u3;L`yvZJhP)12eA>j$-bz>f_sSS-zUSNxw~_%T55L-6n+5Ef=i!|4
zqsGvTg)?8zlY;5|6qd-gQEZ>7fpqpHfN<%7!xbMT;76Azek{EO6BdwiBVGXrp|4(l
zz$*r9B6gKV3U#!2n>it4b^x(J@pC-aMc_oRGt2GnPTGALzNV8D3>1G4r~DEV0^*t7
z6MEr;v@ugNo&MuSFd#qh-gcZHrWn{>IjfJ*)OiG24WkS}A^iE~?w`9L{I2gu-2GA7
zK_?Q9T4?|-m8TCs=j8$U3xRZ=pGIl+`Cjk$|JH{k_aW!Z1`enc51O+V7^VHPddVB8
zs1Jn&kJuF7u);%oUn$?>VOkQy#fNondhqu6r=SE;X1L3kq#+RblUB8W>i#^}g_^k&
zc9E|bfHUuJXU+BxT4%+@)4l(6KrLP^?RYUAq$T`&T*B5(Bb|u6joIkH$?CqA%!)0n
zKi`NisO<}FYb@pAP_Z`9ldQv!-}(=e=I*&|Fxo_`Ig`_UjZGU2o^6u{+E%fb#lB@u
zdNnlulw#STi(0VpO<1JRe;K3O&3>7#GKMyHV1)PcS53GY?^Qezu!xP<SS4-fRbZMi
zGVJ1pn(%hAdN}&yJl5T6{-MU_9X9NLK_jh{0+<YosL`1@Os8U|<Y{snrrRzlC?!pS
z)4NT}@mFTCRo#Rs+?x(;|5TM!?0pTGuu;iu$(_Mki<!Guo_xn@K6shZ_%%S_)Q$W&
z@-!wIx@UXz+5jeSd?oZj5*hISiM=Ap{KkTNwWsWH!&qg&5pNbjGW_CAi5_&B!uTcG
z<I2)TvA?(Xs!XPnKtPdakHE?##<I)#)nDETOyk)67n~dk?%4ZVCbmyv?V_8-^r@5B
zejdMsx@SaS=S`3^nVQ5TMZ8_)Nz+&rW&2VzwzH?aBcBneQ&^O~@70-Kf3VAbQN=5H
z>hLyC^YGd3DU3UA#V*%*4qIT27LoW$fX38`T|XZG#!TC%4Jjk@82#(qXJ;4*@QKDt
z2rin&4m_O=2@74s%Bnw@zSPHqylWjl<F6S^!>99Jyv8#2LGjFK)?hWzdX`LMIys9m
z98P`tgmV>}N#Ghh@LCm4pVo5pV41_>Mc9jN+1IgVN9~;JY^t!<ak1KZa}En(`nVKA
z+Q5=Fnr}R@$H8c!)vgS_1#C~!$x-`TTUgwl`*%N<slaJjhB)cHi`eJComG1|>42jp
z)O?FW1%$qi$cj8#!gRVq9do?s!Qs5!@w1-FkmGiARYZ0LyE<CFn_-y&<PRo&RO(iO
z%(k2l3ZGUnWheVHOxa9ee_#CI4KpR^d-58d=d5EDx9u5Yy;(rFi_PV0y&|~1?ov+A
z-@r;`Reir*W`lvw-VS$NMF5!wlHTwZ)=u|0);*U4SVJ56dtNKR;GXJ-RX95MtdmRK
z&&Ca9ZSOC<uv7r^e=l52qv%24?d6Jh#k}y<saF2Os66~vr^9VX#|ST%JccbS_`pR`
zcZNAy9xRO-tow4Az~DxJ*l0gLeA`<elunWdX;r(SJdYjTy6<$%JzWq!o!@Gk{w)Vg
zb$)UeUD#j~^ZjWMCJg1b`*1HR<Y1FQY}ho8112U<>bItdg1{i_*X`SKz**w0mom)-
zmkKAN@BR>jw^u`|4g|<Sk>f!AQY0@NH~M3_YP$zUYU$Zy1Lc5XiHy_nd~iz7StXHC
z8r}$Z95PLogT?eu1!DF5kU%Jn9=#$1M=Q@=&S;T?G&j`;a~^{5-*U;F03JDbSKt_V
zQ9&MV9mKZ%&4hvZin=L!BM$<*{EO`i<$*OTdHIXEC|J=(OnmMt!p0Gnse$7Ppcd|K
z{mDlRLdcB8_y}d_3?1k^V5|tQM|}Dpwn#v@0-cxA9ULs|H<f$isssv0K4!nLmI8NX
zPVt5!HAvDh5@+pDhJ*}V5v6TuVCJ{YSnehO=_Ts3O4x~e&p46lE(_)BhFsB6MDVjT
zDXPy?gXRwM$GDw)wNQH-czNf4s^jFQ-ioWkW5V;;>L3N+Rd{rvH<t{~WqGO@TSO3M
zR~*^Prv$a-t-rnRY5?z_wV0^KWZ<9#J^Aod8Ol`r+@;P?Aa#0}F5o%^c)q+S8Z*Pe
z`T50=Q*@dz6U(?@9j^rpP2&T8pH)GT^sb)OSrgXgB=MAH9eBXC<dtrOhq+ThQSQE)
zP>^i4y(X^@wK?Qt3NZxeG!8g9NYI3@xQ_jQk_;iV&E)UiG<EPEt}pkzO#vZO>GP(W
z81#&MFGLzdAc^(vjg8cRH<OYjnTp1c{P%KkzweHYT+_|Nl4O{Ze61IxMFoRj|GqTb
zAi{vZgxcIWA}nhT#Cyw{>~OWip->MZ$h;Rhrtw`3IL7REX%Cw~d#Sm#hYS(gmGXQl
z;+5gEWenxIhbep^*B$pfqz(^M-f(Ej$b(Uqy3g}Brr`K9b0dhI02EG_+i~GiU^cy^
zzdCFRKeI^U9#_<WsmI7yizEVhkM`NMel>*&u84zHWjL@*Y<*s(!V6=M+uZrmOu>$n
zK76HG88XfsDcGu@2g_&Y2e%AN!Fy)j!aGk9Y^8~A<z<uD_@Jh|aI*;n$x1hUjg*J)
z*$FAP@O`wj#`rNiQxmYuBGx@PBMW|=&RKk<6`EM{U`<&S6<B&$!qEX~$mf=R7B5PV
zHVV8~pUYC=u@GbN?*s`r(HG3xm&uGI6$tNB6O19JC6+y~UKDtku(xl9*ieA-psW2h
zz?w`}s+gP*1dlj8FP7v)erH~l4*LQa6;`)kt$e`A7v<j=%Y}ql1c_<=7$lFc+SK`Q
zLpCG-wvhujs(cl{rZ#8<25Sx4B3-O-wRzAz@dY<}?3p=PG-C+l2VHyQ8yFy5oR)mE
zh8q=gQ&P)V4dGZKYh1X=Cbk!6pZ7k78*Sgr8osl`ldSwVBL+4Wv2*X`Y)@-)BZrK_
zeV)$x5c}WH@jrW}u#j$9UDVBm>ROcA{WA4-e87~1US1Dok%Ch{aD@vAzEDeO9o7Z9
zEpyA<eJ->lkNhANWiF)beRkuyx-RIRoj!d&q>E<H6!B+hniHu>p6K`A@v}|3{bM%|
zkI}?bQf~~ma3ZruwQM&>wBbi0H6n3&hW0SsbY!EM6B*v{<nlDvhO+I;Rv%m!XooJi
zy1k#_M3jS?m2aMFftW;0T+G%ojpljm%(x~OD!KY%kB*EM*chl29$T-|?5yUL&lGSW
z7;~w-cV83kDl5CCxNXv0y_j;_s5^Q~q8-WwG(iG9{a)H{)6V2gPx`a-p!)kdQ{ML|
z5K$R2`&5V?Mf9=%jM?NtGGQXjZ4wlS|9}sk_h&$YsSG~JJiCz2eMax5A`Q4l`|;iN
z8zU-T=?I0FyU;IuSc8{=1_)*|oBdH|MxTmZ6BqsYQ1b5UrzShekn&~dF3(*SbTsmI
z`&ny#lw>5N<K#;Q%R&iGPC7P3@7>aP5(H4Zu(B(UC>dTyWLu8~vm;+xLD*YML8K`u
z7H0mA1Q#FV@SbPoL^lPejz#+kp?-Hv+|{21Yfq7?MiCdPN=`jfP$P_tt2c6o2qZ|j
z_H*jZSstYRbkmV2CW>4q&Uj&SMBw#g_($2Z3)%Uq-<HqVjdsxz<>l*k{8WIbH&K)i
z5k#W&19ipGTTdy)193#aasJ74l;=k>4?}F%*Cfzc&N!v`i$ow(xM~R|0!TK$U(Tdg
z63yQ+dpKc3gt6y}a*P3jh*4?jyrri!VjRsG_p%_u;5AbP;nzaw>j=rh<(dqdHLCdF
zwr^*STzoKeMM4C*f8SaS%a%odE1xk^P7om|rE!5RSrqw2ZvXi9Sq`}?4DPcFA%fm(
z8;_$>V#tmyhKZF&0gcJCYzLMRp;wOn)!p~v=v$0jqmsQMq6*f}*)9_ym6UxvJbVu#
zXNR8%E>S{DHI<w7he;6U7qQ#os1zDjkkNHuQb7i!?S$Y)5^S>X>rl;>Mg~IsN5!3R
z$nz{)pM?z>Ub=AjC}hc?wn;ALkqTABL+yE4uug_0g`+Edk7SYahYJyD8)~Q&CzR6I
zu)~e#4J6pg<j}ke7Ba3*Ko(M;u32PKpjl~uE3IB0v7|ek1#@-eK;m~6OVfmaNtnO*
zQ2{NSRzAfqMnoYGr}g!oX~CMxadGrn5$%qc3(yKAqKp@8iXlI>VO(-TueDVPvHF~R
zGgC=Kb?d~=;|jV!u>bOutxg$n-q1-HX(J-z3+=i6A$s6NSF06~q=J|N*56%wMMNeK
z%!lLq^#Sbl`1q}GC}*qUk$o5ueK|&7myH<$>!BiC;RFsDUACz&5hS9N4(Cx^rV%t<
zo~(alzoVZXcjWRi0lmzv<t?4WpxJgNT<xJM(qrO||L+1GwZD6>{3#CL@f{A+v=^#q
zsI}$%^+Z)<UjEjaPS_as4+kulrK+Ns&^fjz0V-&aetSvzmNEP;CMisqtD>NPN5=Q#
zl~9i_&HUn+F?2OSPe3CM*|?o=-uFQsbqKk8aw}4ScQIk}kPr@SMsWRQu$M*sRjkH$
zt*FrLx>Yx$r-D2t_x~Lol|p%!WYP*8sBmYmZpgO2GV;C?vVVNPI4bv%R$V(xg|OZ8
z6iF#1wD6nE)vzs$+LCyESIJZmFTBKMKdpdji5n$S!UCuztwJJ|o(hFUp)(x?@~EHw
zyR*3_FN#%gJhO$2!9?}en=1}-s9un%@w_5CVo)-<VB@#ryRGlBKjo4|Rt)vMyXlzF
z!e@p%HzbXL>9Ves_#0_-=~YZnp6@n|?5VG1_!b~+Jo%Nuh9tt?(S6~(wML8gvb<7$
z8bF#_73~}=f#z(ZB>(MRq&2HgS_N)lklVTI-w%B;WKGQQ@n8KzQ!dlU%hkkyi^a~^
zlt&c(u6tck#WYDP5u0rhzhndq=WKq|vk0RmkIMbWS;lDW4YsPc3Jsy8xWjz6k|2UN
z$st*#!?d6C*VOqZ44`IzUV+qQezebz-OB#i5N&Kh_rf(L15lo!%sn68g$_$6Dy_B;
z(e4C`emUT&52rXkC~hwEprK3i)TYj1np*_^#M^2;=vr(yKj+VdA`&yQYm-N5%*>Hr
z8Cmr}hxkuh%ZLMg^j8)d9~q|+BfhAJI_QGF<T=edmTXAz-AU=D{7IV3<*L?|7dp`D
zXJ@0A$%52o?>-1>nx@rZ{O98Mbim(uU};;K8S!c-efy>UmqsXKd;Z>68=g8W>OY!g
zM2t^gRx-NJ)4uO%YK{D%1<P4d0bElI$SmV*0=NAlP2+EycZHc2yvg+bdRCADrAWr*
z-gI21WeIUP=v8S#RO$R_VNZJGx;OiMP~a-fsJf5DrlJX#9{Wd+|D{9Hy<4ipqIFu>
zs~gf>xfFOF7MD1aPKP+>gMW!FZqT{{wl($kP@ueYCOOZI4vlc_jk|02kM^1KO6Bb=
z4XBp$85=)Nhib@rB10Z@sBux>=|33_NI$jBJLyh`2J`+qT>qLLrG>k<-!3MDk%!ZL
z$f84z-p8}<$}u8({eQox+GN;X{k}LfLx*fD)6Ps}F(JF9x-;q@Nl@L{CnI=*9?9m~
z#a||}pgymr(6c8=;MVnfA!Ljm4Y=zj;09TdgD9<geT4|Jrb`ETVj0lL_it%t#q6k^
z>KrC?j|fku9b)(oGa`Baji)MUoG9zorv9il5kmaVlt@x`>O}?5`j&8`fEvqfO`1AL
zt{)K)(qcxXoH_TGe(|D1_JaY8yVb$gDejYuJqt2Y(&Ok>=0h#>xZduo1Q1t+)#?YV
zXhEu8{cHd~;<>8C88VB9F<JazJOewrgqVIe4+@~WM;XqIy5qs;cI<_R@f>KxwOk!@
z5kgD7f!m~2HHbe=t`ehip^tPIM>p9-kP}bKr`Jhpu<uD1T$18Jf0a^ewLXg?iQ8sA
zQif{q(os(&U2qpNEx!1dqgD(_xwDO`Z|v}TpUE^Ii4WCITUL60lt6pN6+Fb-Rlzjc
z)9sEcKeFgMzrwvOi5h)um|SaAp@Nlz<o!|r4OeY(?0zPVs*eVmFE^+{pyznBysQwi
zR1CXpwkU(%<_+13{#1qZUGLA$6bqvXkL~+g2joyto&2>pSv44-7-$Y37DaVGaEFU(
z<PrZl9Bb4aHK>4ifesNd^yE$xWlLKTF>TLJ-<QNg?O{O{+?F^x=Nh}&{6Ps#maoy?
z58**PZ^(>BFNvhV;aa1M3YyOTE@#<8fSU)IpV;wBBd;D4@<9$&^yTxRuZ@gEFz|A8
z<R{CZ=O4^wG%D24oYkocr+OkVE~XU3JINyN&0}o=wgjZqt(NyWg#@98*^}<wlS7C1
zUpcD$OC5C;AHVi5i3}f3o2!d=%A?bXAw8<kh{)HrOO&Tl11^T~Ey@ZjBA%6fslvxd
zXnLtjnstK$HAK4)CC8MIcXz8<_7Dkm4?ATCozsG_IHy}h3Cc*Jmsuy(oQ#sAbkFae
z(}sI(^P>E9Du_!k^=|WZGWt36=Ty)=UFh-IlwxYfp?^`gdh(;l=(Dfgr#35n7?+<g
z;CiQuJn~xNHm%7hL+1BQdR{{iyYor-cA^^ko>|-c@dpVBnPsxAwHg7<VSs~7z@x*f
zUMnk#B-B;+w@JhhK&vZ6?okRJl@BkGrZkCYMg3KcEt4_Gv=oVMyuza!6-F11iW893
z`pcJ5RmNbQN*ceAk4JU3n;GZ5RMDb$zs$&fD$H_Gp2b<>k;1A*dtjI{GUC1&FN~;g
zG0pU7QTYx}%v_>6UfkiF{K)<3{3d`mmbrJoR~6m!58KnZPZs^-KJM6MYyuglR6j<v
z;LySJHCI7DNfgo8Xv=@l1d6>Px!q$`(2VQwqxC#dM8`&4QZh6FPr)mbvC7Iw(IGof
z=70b)9+o-Dv&#hB3m;g&DpW*0ZjHxEx4Dp+gmJTTD;3hFxvJWQ70`E00XqIiOz2CV
zzv8a|D%kK$t#XITq2AT&8#Wvpw9or`%ryn6ppfqN;^&YI$~kw$$u)eImJv`m>sn|G
zwkLl?hFMCZ6XJPH-`2Wmax+hC*0qd5Y`XvMr(1gvrFQwZ#ff?hSLQzUYG)5_K4W0<
z%@RY)np!vCc@AKC(XtCatpFN|`A0f`h#+DU$~T*tz_J#`uFkx`;A@%A!@K4}=u1e@
z{bzAA*vrBkL(MNn5an>x`t&G2dd0PvEy^*6<@XZEEDMIP#zrC^s@R3vw@+A@uFPRr
zE)S+5W(e;=>XoT0H=>dxjr#TGG4fZl%QE{6;C}!B0RR6Cmw7mpZ5YK%p+$Cs8OvB^
ztjRida|j6ukruL~qM}`)wD>9{N`)dzN>pS?CF*^VED_l%$&&05g{1J!zwh;2_xoJe
zeV*SrhiCR9Rk>z4$)jv@;J~5@_LO&c|6rIg`c;lBGl}FO(`w!HzWa@{_m#ZZa-hTr
zmhB?%Jkpnt^$t^m9`qk<$;Q)tq4S35lWM;Dbmd~QeCd{b9+IQ%l%6ij%5{bqo7K82
z^4}csdr0K_uI^#>*P9(-f8!0HZT2Q@AoLG0{d0BcimQWcrD!YtcO&|6=zCYB^K*(Y
z4(#AwgMRj7lik7NR{AjD)A*g-{*wss+^wWF*USD8Q&dL1$AZK8A|5xDapKx&LE6uz
z9=1^amyau#voNo*XjyFL2+`<X(0Sr&7uz_zX*A-H9>V)?Fb$Fi2>bDE%q4F=v#B1L
zrXHQT$TMnBdPx69XxBWLUTX7^{jkXY^wy2KIDVpX#ZCDh;=*vETDC+h+s=AYf75Fn
z*t}E>eXRI}V0Ska-(fYer$c!76isz-Cs+IJ<BE^OP3|w*q-g`&|97c$cCj|H7XBI1
zmbVgR2KTP%->PLFTRjk3Zm13R)BgO&o$m?D4KX`zoOr`7F@12)`K1>0Yy(8Ed%q*H
zmyS*h*O#;Fb~?zLS!$s(@&1u*9W?~2KJr|jG{NSJzpu9MohG7p@`+p%ctd=1PZ9m*
zRm=`@YWFMKu8Hd*yU(uZDJOo1Epqth@PvI~o-c6I$2Ewo-;pn1L=w(a1m<QwX79S+
zKTBKCK)Qf@mK=X6!5y>fzuYJH*<b6WDFtd882P5geLC<tv32Zn*uji6_M}M3^mmWd
zko@t{HuyvlaVP)e<GpvTv%jhRXL0X_Iu82f1|*6U66(CS1?NJ~u`4<<zCUSFL$n$9
zIXSg_LV49mmBa}rVv~zA?YF2JCS3mM8*YD0@E;p9b8$LP96tR)*v4HIIqCA3-b>^V
zB?{IRyfN2^9ek;Z=d)DMaYj(*MbJY+{?qnP(X&a!Vwz8S^dDs$T&K7&;`M;24U4)e
zu<{O(cI$q<=|*Lo>TO@3R%H`H41;AIT$zNBBj3jp*-GH{{pVzyoK1Z7b4Zw;$|m$%
z1{-CTDd9tYnYct-HX(h|aev8V4x#vPS%%O)CK@kISI_Q$Ks5i6Um3ugPdJwtuhMN|
zfZv>=?7jUVv01PCZ>>rp;T4jc>~G4z7J)uz^7bQQFvUHC%fE<F*m?MV{3Av18Y;(b
z(#|Eu2NDn6uX{#>y}o0UCaZ|O;l>Rie0fA{lJ$!t?k|Y-mmX~2AFlu*ozHL1s^k+n
zgA1$o&|eav+zP=xf(rN-b&mh;p#mbVF1`A&AW5{kw*Tsnk%zQg*4f|vg~SPO2JgPY
zGUEKVm^NQQc_hSTzF<ce5zPL(6+Nda2(P)FU)SD{!}6`7FUNeJ5xg!&Y70jz2};1~
zm;h-xG+z$uP(D^nbTxU*c&1bl%SxZ~)Me2Tvpeba+p-d(<+Z?3<wdoGfrOQ&tv(&2
z*}d^69A6QdOCyIQ((4F2iw5WWS7o6$F%a8$jU?VWPB&*nG!TytJEvy9kb(K<ACmS;
z<;3i-gyrF$?+F^u$>?K4(s<$~m)+D~L5z7>zRY7b6A#^z=li9l(K+eRvFbx5F(ELt
zd{m~DD7sv8<+Ga<XHNVTqq!<VI)8)7=M5i-lNzB#+6gptt+FvR@T?{FRNA+d6@MZ;
zXpg(=KT~m6JAC`CCG|wMBiHd1{|;hCu=(W`1{FMFE4@l58i>ryx;f)rUBrbrgQMO@
zCGqdT``MAi_r&govG{x2dWgR@=jW8GCD3rhRUvkFGhxuABS2{N5*Ks#$2HR>AVWN3
z4)1Oylw6nW+GN^C1pfJ_?Gz>s4atEG#i<{N+Wl^q_J<D;zuUB&;=3vM_DUzjSG=7#
zIy$<odc`o&ociZp@;VAUwiWV=w000eLhSU>_V0vB>2D+7LNV~V_^v7M?jo+vScb3t
z_k(ySNfb>gh+#mvza}@mhj?$zQzTY8L2M}7KDpzjC<0opB?N@`66-uEA7UQ;B3AwU
zz)y&XV$8qik9txc@k)Zc>DxL*cuFg`nOzfsR{8aRaz6%$GBaHPn&}KNy}oixLP7*v
z8tj=y7lw&J`ist~;aTE{|ItUucZBg)HP=nkZ<L^Z+tkW8Fh^wc#(mM&5ytOTK3(q}
z#))(Pl`hh{y@>pEk)POED}-hBkAo#7eiGe%74avJbCE^+Y&|>ugdq4UHr-lmk~kJJ
zsx@<QDcM~)U3peO2o=(e{Lc2%g!E?fpt=?wGIuUxy&oZngz*;r&lNMo_SM?sRldu~
zG@|+HRInhFR5w+chW{o0P8fvlW%H49>@!~mAc&D&bwTNI^Mthj@z-Pf1;~me5*7gz
zK^(n(@%Z_<MWl(_b|d9bAu?cE&p&il076rxZ}ob)$cTL+$1@L$kdtox@y8|vkny`N
z|HHyk@{{+<Ppj{Uk@g#Ruqmqqk$?W?)}32<$=*e(ni~Wp$V#z0CTG}!sFKnca+zLE
z+Qh_pH4{{Fjjq+j9r1z)c@|}t{e_Q|4%_?iaj`V{GTGAbvZN5Izt6q*Unxko#mC5a
zou!lfG>dK7O+t`55-QNrB1HQ3J!4xs%9C!!O|ic9!WdVo@1`|~kp00nLA`d0q;T8d
zzAkZ5B=6o)W;ZWJ%A_~TjUQu@H`Ljp+!bO7_j*!fwOfK*yXdLfiUwuU{L1ly&adKV
z+3|kwg%vdN(OA@X{mp9RcBWU;yBI1$Z6)&?N2N)s?%rzsWg4WT@iOt`9%=MuTep9S
z;N0)u_lQjgG)b#p$q%pnqr<hDXS0B@Jo$K04&}^%7FiMde7HVD0e%gWW@>zj<nRU>
z&nsUYa(@lu>}V(x?#^rfYX4!7TV!0`{`ss+Zu^kw87QENP4UxS|NbeF2TjXLL(EuY
z)O7NAx48zWNjZ7B0;*(PO{r^sus*3vZ*!Nvtc4Zl<}Ykus*@(gdLw6!8<35&*X?1a
zix(@O%Li&}kak;tDqG1KlDzWl_*E|Yc)lV>S4K#ati52AQtM_&+7G1*m?awF^`n&i
zC&x8Ofw=kQb}J0Yn}XLTq83b1RkZv1vPW8^)w2d|9i{>KDEk@p_!Gc?NqAA9fi`K{
zJbY959*g``bthr-W(yQ*{c}5XNt+Z1{OS7qvMy=ENRU)(T#K4z$(tFswMmor&W<~$
zw8$3Gf?;WXD{QXpTgB(EO_qB`I*0vRO}>_sh{#-Ijk4nc_HW0uNcF+R&6_fn$fE9z
zBfTls;J%vkbd$CgdHnb%F4whkWP9U>JH-Rm=(b93^*7cekGBoHk8z-oQhpn_{d%lX
zaHIW=yNU)Ww{~u6t}_p*+_m*&Yl1bJ_{&M+x*GYs&2`=8kv3w?u|`OiY7Ljn&HL9h
zDU(kRa_!9Onq})w-Tgs7VTDZtT~>!V`?@}5yz|!870CU2*zz=KiNsxnf4yWCNLKcA
zucN0h{;n#X30zo<v9l@5gk9-mv2Cwgk}?H_%?fV~&DKIn>w6|^BaP%&2zv72lLUCF
z|Lt`Qw*bK(|Lz<p<SFh1(S<B39Bq50@|(=z`^{XcIZ}x1EY9yUucl#{NFVPZ4Re$(
zVIO_yvx2klzP{9*QdsQ7Uu%^BtWk8YzIup@WW;D)5loZ9u+)>Ze|&&Q#N0ZYkZD4H
z>ZtwwBq@k+ZxhIqX5(UDhHBW<S3*fZAetR0h2}Q<&-eAsV6sDHZZNitJsH{->8&b-
zicK!&S-VW(WjrwU(|(BkVr_-xnob&u8~B65@0no7=**ry3sY?K9eYaI*J)5)GrY}U
z${6Y?!s2?{=Gpz9z6yD`&=7NGRn(GA#*oYt6XqV~f`(sWt-K-)Zcmh*cD*!$%I!7J
zA}x6kJokC>6fX^{C2#$p>lne&CApH@b~#KNp7#qcrlBmqUd*7-5F2{!gJyX6keOZ6
z5-m)_>sVImHxonnSa^4gUEoL1p#wIbO=xhM?ytDoV1S^8)>+fNg5VQ*G39lJ2FIMv
z(AK>MP|tXjoP1IUL5ps+Qohh2Y^)o!m)`*P{=Iwq!-O%@*w%W_Sqg?X#OqaG=%aee
z{gOXNMPL{)HF2U_3Y(KZhOP|Mhg3nptd)-_j@-zVt2r+XLFV-f5~}(*bVR1<{dzH+
zd>v_c*IWj_1BRa-8e>7h%UZ`=gM#v=*4saXW#R0TQ@gH&g~s6D9qmHm;6HHu<enK>
z3|kx>`*ekcNJ#~y%hTd;?bVIjaDomW&7bZ^4zRFI>{Iu|7YP_YS3mQM!y{Rrp}&4^
zEX1V*Gn{H9F?K6yD=ShCVjb#@l=UpER%@na6jO0U{Mz@WQu0_IX0GtXl7&ai!--cO
z(=b63nP)zcN20=VeQ7%uWP+De9eyZ<cHUM^14jkq*bVO1b7!HTd`p{Cjx@~I|1iuL
zQ$Wr7N4HL%V1ei6_dj2s$l$&8skYmf74gVrVA>>&^BwbJ=gVZ#__cf)Q;h+-mS<T`
zGYfkfw6*2@>8Q`E(_380KuW9U>F>h&I2L2}>FZBAF3!{6zTCn@z3af9DGz;I{;#c2
z^OPKpw4I_p?`6VXd(b`Ui9Vi=NT+l2%A=aUR#;)D66{{ql%A#-VAt;W)HSj4C@3Lz
zinVa^?q}Dq72yW>cFBt6EUJL|#cF;@I?B*}AFsOe59j=khu4O$E1)f3u&+K$8P~3a
z@7j055Wx(|hpqyOIDeqde6&Crk)rh45>6i+HWm*5cvcardq%dNsaM9Q(7j(XqKx2V
zvFFW$VMVMd9}GHHrws1XN#m=j#t=-6JGI1y0XGeYz_q!`c>Q!pQ0bvD(w3N}D<v|p
zcEN7<vct--6kqp4&DaF7<rn6HKQRzoy*fBUTp92Bz59!+OyJIKn|Wyk6V-@1@FrCW
zf9^T;t#vTP%dAv>byX(()aVLxE0r*ouyKBUohkZO-z+|^&xE;jL~GU#COWoziXCQ~
zVf5U(pl@1CtglXeKX!`&-u1CxQtz3;ZGKA2R+5Qe9=owyuN7fEJYcqB&I}5KO!~km
z1HDTajla7TU`#0NvA1NyHX&+*PaXsB5-oaDC*+Z0W1xB{gblbyOqF>vKvdJKZRh1M
z;qYegcM2OUl?#!3mM|dJU}})GLJlt`zkY7YXJhY}eBh!4MLaag(U_ppVf96FgJ&Td
zLoF-Ef@BmS|2u2s!fqMxXbHaCa+eM2y!b?S5@%l(x5Bt{r4Vav`L+5y8!Oa=sDVNX
zI8}D@IzNXGbH`MlPHtgChfBbH^I3TaFI`wJoFECyhStNjvTO`4WRBO2%3;X`!qoy2
za657E!p3$pyf0vR_im9x&06Ub_XWhEMVB48a>)z=eYxVvujweg@;ud)hk_5=hJWAC
zHABdxX>Nr!9nyI}d}xYdm|o@W-qvOcp}6Jqzt+nlpZjQ0lAkEja_nCe95Kbd-NSKi
zhBB}<Gj)q-62Z`qDvg7Drg*R-Xq^H}8vE2Q=~;M*pv><bg>}aSSvwa$^S0pdC}!iI
zJ^>DgoVAKqu}qL3re0p+Ndsl!PX4|wVL*uD(OYedQ$A$g=~yaGiFnAC)d?f)se@O<
zc4OG)n)PNkNy2z<`>oDaPOkOM{ZTY#gg<S00b?qXIF^60vu#EgEtbw=g5gGJ(fr0=
zaYF(J*B9t~)e!;rj=x`(C5=$Z;uiL&NMLj8eB!S2BIrmoj1A8>gnOrD`Se3^==Ii}
znH~|r={eiI3HFBQFgmoxYqL1M6MKm5yG7v__wH8HumO6$`%+Gei6hv3UMu>SDCAF9
z-b#)(0PA#OqvQ|;W#VPm9>$4b-)X5MTeJ<3+%j)8)JQ>lDOV5oS_+t7!k+E!&`03d
z$mQF06r}i6$1PvV`Tv7aE2T^NC|?`I{Q8-KsXUn>w2C9V<y-x%nLd)N7F&DGQ}8b6
zuAl8w2^@PPAa6OtLatcvJ5om+GAaM1HD*d8Kli7r|1%b3h1$4tLdCHuYS{d2CKdON
z<z%*;<nX*P&hs5-ZqRLN<dPy9{8dfWrfgWK>6rGaH|NYv6#g~(UJ4I&Laf+QEQnQ&
z#BU@dAV%3}Sn^LA=bzuIQU9%nXgli%lN%)QYS+~(uXJT$731{Iq+Jh_Lt)pPM<qdD
zGo5hBgpN~LpGAIE>Y>!@`_J)YD*V#BZaRIVqvg<@?`<#iP`vB%^|kIa911Ar`g27N
z#R1JRhl=$u+y6)PF2~ou-L0}tGM7iI?x#Y#ay@+e<>+F^D~(+dPW4h#^0<QQ{==<$
z2woh(vwlJvU+$PhF&`)(|Lum^+DSd+G*?_cIUobw=z^VePeo9pueW%}ve4tS)jfJp
z7URC#`qhOQ$aoy@yJ#~Dw7ZMu1B2=48mJs#mT`Edh|Z}*7Q7YcHtV?L@Na&yG2Neu
zn+^dhJqKABymejw>18=+Fp@n+mnmWY)ku3SOMS#=Ju?iZ%HvBb{f>0960(MeXsaLT
zBi%NuTmHU0YF+!N5_DzEkB(nzku^Xdcgs$iwgOn6`P?(FDq|nD-p41!0Kvav6f=qy
z&>8mmLCmN!s9|qX%bA9d+Hmjs2V)M;JFmDFXsTd$-stAb&kSL<GNby%Q$-vwjONzb
zqJq$N%kHHcjc`%g`irSD1KIQE;$pp3aLHcHL1M%RbGG-G4lxYm4eylcwpGEOslH!(
zBaIQIncwrRpMkADKjH?3RZ!RU=7_hF35q6++9foZ@O*t(+Ok*~+FkLky5%O=bf9OA
zmLC&%D=U4{Oc{1x_~LloOfj^yUh(;5CO#yEnTy?3!VzwbZth-FjFgu=iB4sL6<X#I
z^PLG5Go86pJI&x4buMEfnTekBb_E-0ObGrrT)fcA;eQwTCh<HIpKFZgqI4PPS8VnV
zGGJo~V>TjtD-&6oTpRdJ74bLr+X1skHt1BVMdch{C?j78t};@9OwI#Q-6}S+gZg*<
ze8WI%<A>k9n)1*!5)6Ma!NwP_MEyb^2I5V0b32%Fc=9vR(PJs_gWKy>+n6HyXjG?Z
zIw#L~eNo-O1N6v82_Fwo#H)(REdlFfaMP*j{OWl&0$4vrd%6{%qr*q%-z^2nk#C82
zI@#ElVV)Omr+^*DEp$!pQt@0*D02T}HZJ=|^fx`0N2H_v+wVM*7)oyrRzJ+S|LW;u
zrh@YD*LYc+epMV9{*4!tmD$MuWM(CCKn{%6*}7+~DLCBFCvmF93_stcPF#IQN2XSO
zYA90-kGZx7pFeJfb&vEKvotyU53be=(GtZn-*o9MB4#jDy?Mw+LlzURZDm(?i-4(<
zekvr}6q-#P6>_{Xuxo$nr}tVI#zM9%M`KewJ-)c-^q3S*#U47j+eR4mZ(=7TYE57?
z`!eQAKMge%hwQq>g}~&tI6J=C1jYeVdLk24Fb+K>^-F|cU-dV!@vAZJzKl-s7NDZ}
z!TOy`?g?SSI3?{`pfT3Js`m`Bkc4{}<K5sxA=KW;Sv@mrgmV})=es0<k1_e;h4n&s
z^|hkrZiEqhnz_f$4vE7=)a8T6GGWA4S5~M=7-3AMbKj~R;z;_bb46;KFyix$ck(|l
z#2ZuA%ECbkWS4~4?kE!mZ^b^c+{_U2tdt|0A}QF~5hDK1L<D#H3Md6_1_<bOc=Uu#
zK^>QglG9reoZ5SA7Y-ZXam&J@sFf6$IXV30+AoS1LBbJrLIx0VlYJKQT@05B^prGZ
z#PF<8yT71FALnSht}1;M1D9{kuZ=w%Uq~DC-MB*^Wgi=vYdGhlU%1H4J)xjd+={la
zQXhBTx>2-NP~d2@Z(=l29DgaR8s!KUzB~BHHyTs$`M-pSk!TL5r*B))I63yCm;<};
z3`YlU`|_%<NaC<plZ%T!3uZh&Q_g>+K=pmxxEn`ryw`uU8qevWuST?N%0e6`15b{7
zRnf5c+Ck@awR)(^cZ(?`#PRj09RH0!QlRuz1^r6V!}k2bGXV|~NQ?SJ2{)2K52KIu
zI#drc-DG>+m;`R@x+oeIDGQI8m)9)4^}xsx8#|aLi7wjy_`bt*tQqkc;da!+<4t!C
z4f$~R&vnRYm69B)m!5u}Vxxx^X4=SOJsQ@VYl)obmP2jym-H+<Jxu${8_*@BkSEUa
zQcIDCbDznxms|C4dBMW$;Bskr8)*cN?NGqQIDuzJkLV$QHuE!cnGBxo`x<8<rwHGJ
z9}L}Z>Ot4waC@AnESjjbN$$OhI6PH(ck-<sF4_z#b&Ju_5b-KsHiLnSM#T+TD_KYh
zIr&#Vla4;U6LC~d{(Njgb+6pQLbdMpF>52vyYpc1MF=TD+-I&iu#g48QTgeXMmaqC
ztxj%wp@duC73<<@`rtoEw+Qx=#{q#_14UP5WO-8$j$hHo>vQLp-&~N#>)kKc?dw!V
zc4E6opRfV4R%vhd<K+49`fGltoK@iS@?J`0ngQNc>I9A|DkA%kY*1c~3erQ~ez;*^
zh`N@dKAy*lux&B)J^Nh+4ot_Y9iI%bMy%TNm?i`2SL(Wmm8!Tr;~LO<#t0vCOM?b8
z8A!f-tn%eDRUDY>UWigRMktG$CLqX!W@7EG(>*FU^1wQ|<dZQxMSp*M!11|TZHZ3?
zudCqBR`FiX^Cr;!wA|ueJ`>`_U#7mwt6-b4kb{-FDayGLHZ%K~=o~m67!=Lv3m(zd
z>TgZa@FVu@18ya}*O1n3X;#A4eOB7TJIruyOLQbfKnXraFYMazkHcx|$=}i6%y5=+
zysc`n5*|N@qv~^dLz6f!_o=OHJYZ=grhZ}K^3_X%rCbd3UD@AytAq{x(<0A#GnhE}
zllCTcL;(`i54Rt1xIKRSz|sk4CX8<FST$2Ck6n8e)_$e~MXwT4YsVN6cs1+On<<Bj
zBP-tMXafT38@C)e!NA<G@(GLcbfoj14QMd{rl!77m_HR!vb}ZlRGSP2;==FC=>bQJ
zm4<wFC}PiG*_lhFQjoCNDN?KikP6Pb+6V=FyeE?;UqQv;{)aKXLV$(ZN-=Xu1)O~0
zHs3KW0afeua+3XQ{8>Bg?-d}=>7!zg<ZQ+9=)<bNu1RdT%#(ZDU&%qyx+$~py%^RN
z+Z2Xz`pfz=UH$5Ua!{f{t0O`bT&XvPBYVx@m9{@AZ6}BSYH^R!4~QTy<5JP)5HoZ|
z2N#|RlEuoR<@cAK7shIZNS-?@%)lI-7`v|}1GO8ewWd`<a7nCLw<z8etj!VzFaJs*
z3+(tA9U&O`FI;GsHbt#m2EqP7Lx<9kL`1b9-e^l73(PQqzUD(4jW--WQ%VyPJtv5f
zQt6OJPEIgp-Io%omBgjmn(>z&f?(E+ssG^g#~+p6YCPX0V88CdxtCi6@s_$QDM8a1
zwZB*Id?zY_ezom;f({Bop?+aF_^A;hJDiVyb{EI3{<8cFcLcHWeAQA7Gb6a)H9zK2
zN`bP*qJ@U<f_P-6&SOw*h;gcZ{ze@NS~Svrg>Ddn-)5FKpQ|Cb;vAm-S0)CjZ8YJz
zav?~zlw1?(Gr*I7l}qw>iy{BSiZVWXVf-9cJ(_dE02}JLf{)6J;rXd3o%;jA*f=vK
zt}AGO!6+eLpGi^dpD!%uz99l9!3p>Ihx!n_bU<fWhbRQha}*OdiDI%uO#oUzrN7R{
zULPg?87)6Qief!G;@v;aylfqc-qQ&dHr_IRS1>G!%_gS{X1FN0qI*Z!C7Ff2z7vct
zK{5D!IC?bj7X?w-Gu}7tSvc2lMM2z74BlNWRM$yyd>c$~8scI>YUPOquA5@8w)vrz
z%PongBfDPb5PC2&yAZKyRt#&nW9&keIDUKhlFOEGJ^VhIRzn6-kaNGcq+lxz!dvSZ
zJ00}!!)dmFcbWowUCV<y$x;ZiiazDU5qcgiw5mT=97S0}CC|pB;W-m0l=n{;soy=`
zN}5O@CSUpA8%J5(d*%N}v_}`TT;2mNvl5uLiCNU_MMv#(5oOs1U3eT$9yjLbq4vLG
zX$3mx-Tf7FI98>LV~*8%o)4)I)G6q{*(Zm`zpCacYISjc!Ln5IHVr+MzkJN|<RSQp
z=zsA^7XxKgE;A`oc$QzexHC)vb*(XfmQCp*_Kjj({bOkyoV|g*jf$K+Pq%cF)<e8Z
zm`&6>8NA{j6+9-#zz**7+blM5ddiKzA;ce9JS$lH+<t<Aw*^Tm&Ix*ubL9Kll0XM-
zYL-%6%0#K7g~Ip{$1gNC$cyO9VO(3~Smzlfgjnrq+-}Fh{gA8sTt3NxEOC@#8Yv@f
z^4k3E5*8LbPZ&{8$-|&%K(h0jGQ<y6PKFri<I-fsp@(z@$flQsESyw<eNe22Zxu&B
z6~rOYas~Vk009606qk2A72Y4ljk3q(+IwAh*j#(u$4V%Xl#ED{q>Ri+C8CsXN|dPV
zO42gRN=1?u8Br=_M2WI8e)sq1dA-g#ujhPT=kvTj&rq$1$hH+K7M=Hf+_%#R1tDp|
zG#?ejp7M>p?oY$h>A^fhPGj)DJScVcuL|N13;yaWqruwvvEgEsF$zD_l(i(1pj3O^
zhw_?+OZV!VLJpW<-;=99scTfhS@^Box043>QsRNnG*f80%1kIltD^bK`hQYIGz8mZ
zYv_!bqVx5CB!xaz2&^;cpWZ}6(ShdC$zn6e$!%M$CzD}m+R<M1hKleHg6^T-=4dpR
z%>C#~Mz-!I)sr+T0?Y{3tGpIy-4^EiB$15bD@Ge8y(l<5VEKE#+yXJNy`r?!WYpAi
z$JYmwAw%T7w8CJ(v(PDLYdmwEZ=uHJql&v96&7S08L(v3ThUy}sIN##dT&gEe|dA}
zArYX1h2^Y@5E%)#HsuVltDs|UbLMw*U`2gR^3G~i>?01-44x?A`1zczTRefi-Z!e#
z?NqTbs8nP4m?9obUJ@+~20}~TtoF8$K;C%Z$W?0vbaGWR^MnH)rq-LgG)bs3Zt0(s
zlf%rq#LGg={fVm*Z9Zu#*f5e*zPDQ%A@7=24m0n!N|9hs9Z-g9ZG(o$eMyjxIrFWv
z1j?oJc!NmF@Yuhj&aXinhHVEvCCCA%M|EQ*_9|ga-QxTGf1-FZz#D&QlmV}w|7??P
zDnfQs^H9Qm5eR+AyLmH(ffA8OwV(+FghscTq>B)7M<Q?IUKs|yAG8>?(NTbE55dQ7
zN(eK(2~WnZTVN=8wJCL04w}2iW@c9i*c{zP5!SLmRAI@!a~EatdqC%dv;_gPVH_2i
zcg(T=pKVl|qYUN^f1h-B6NLYbcZxqX&GEK~P3)eqG}I23&KD*MK!@ZSy{F6!&vw6B
zvHc~9M~qo1<7Iwa{H%Cdl5B>y;ke?tFA^}BX%O7pzz?wk6V2%YQyiN7lJ@K;^Zjow
zzCY5)58->gFKXpYA^6rV(TOOIYavH3buID(KC`xxS4`lo=ETzLECz8~>c5pB0Vtl=
zProW>f^{0FC-;<!A}Ufzb~~>idcThLJ<B&napdyOPBBre75wvSvPTfVB#${Qkd5(o
zwp#GP6%pJy>v8&F00Am-Z1NZG8bP@%n^IyS0#8?qikp83m@+YtpRzE5yW*Bx3bRB6
z7xZ0voGApMlV*J$uMM&CaHCxI6C$qf;&NEOP8h~{6a(b|LkvH#t%$opM2MejdLtJR
z`K(7@WU&}Rd9U&>n<666GZp{k0}(p!AADSM%>a!$eRAOsh-l>1OuE=80=fP&jV2od
z2$|cPruPv+ZBn94-WP?*u2ZQBzx3gr8{Mlz6v0!Z?&GKx!}<$%Y?H3)L&<E-XZD>U
zXpBGiO6rw3B<ut)xNOx&Z@ssD?PC#GH@LM0%u1lrm-WFMQ6HqS*G)tt=DjkzV-&Td
z@Ut*@<yS8qpX+}5e`*p%viEXAXsk5mKZ$oY6w_hWE+6&FOALw$h1Wc~Wx#i&+40XI
zI%s7aoKk$^I1sdlSZgJRi`6k{>f7nae#Dlm+bIqQ0Ye74SsqU9EUyGD>4<!>zMQ>K
z0x{Q~2hNu&pwz9f$3>5h(kkcWb*CiZYvnDl8l{N-@5^`YXw&g-UqN;5aVgv%?+E#{
zK?$o@!_G|`(~&;nxA|DQG@44ahfh+J@w=t4_{%0bDtBEpvbre){Z8@X%UmibC=`v@
zaFC9QGF!Lb-LiQ3`+%404;7qxH~jE#5giWkDR;LK<T2wLdg4SU3CBw!L$bcnK^6_G
zpHWi)clp@GixsMfmL0C>)YnIuOU=U8ZUrP*R;os(k#XO&^@dcIK2)_cS(T3~!X$0`
zq4XUTsL{6gJ>f6_-}tcRcReL=9Zd1~qC$nY^jO`y6a#4QSTy|cO$qv>m{yK{D%4xg
znl4KiB7%Rm(I8tHp-T_;BbElmKikfptu@5D+=`AATNUtrv7#3()9~)PGH+m@5k{I?
z|9JjX!JB7|c{YA(xOJU2)URv|nZ2pp^XVi|`!3}N6{x}6pIha@m@yo--h3CSq6(HX
zR$9HaY6v;IP_12U0;BkPT2GlOw*7K^M<`Z9{(Utaj+3VN+R<bxr$k21b%uK3PBl>H
zoi|2!nt`AyY88}3#)ZLxEx|u&P&2kD-bph@ij(CQ@z-Qnbn_;?bfh6-lM><hZ*%NP
z|7rh;je?Nv_4XZcRKURhPTDOCT)6$%c0r1QQfC&jcp?Scu9(yOwlP4TO4HUCryz6w
z>-_jGGE$5Aw{88&z!RB!Ckb=RbxyHOA6XURCS4L#LttAC#s6^~8Rf#}i3huxe%$pW
z@@NnsHeaJ@&OEPu*hKAXgfc#@ZxM<(3vg}W93@Sw;>RcQ*BAjM_=NOE)m#U5X%&Sx
z?^T7u;de{sHx<BQENK*aACOpgqq?tygdoq}Go-6>u%8e8t#B6@|K`t<Cr85O<esf9
z+%iz8VXr7C0MqwooDcb_;JfdZ2R&CL5fw%F!Fv*@UEO$g`LZ$^Y&-0C28bhU)3LzZ
z-9Ri$=0bU=64qUQApBvsD1L?n{l0DtoGaP>Y-(8%eO{lmcVA=rNgVyeNe-Yn@y52_
z>Wa9N?C!!VE)4Cx@nfQw8Mre2Jo>*K3b-Xcy(;sZ0JGZam^OJPPZu%|l+xsJ#F3IE
zwO0^td``Ri<XM2g#y9-7L>BhC8Ttjc_`#P~a->t#0?wV}gQog2pv~9u1-tQKLb5i$
z^^`dtiFSrQ>6L=h`MG>gPhPkd@fkf@X8wm_idxBeNnBjEh?A`1!6Ba3j4vT(a55R~
zJG@5%cUIMBBfNQ#Wn|-T_Qe$9zx#;3ZsJh27@xak&x5vL52-6|rcm-R+c)7YhUU-2
z-314EAn{z<psL*ja^7XqJCBKC@v+6&To(^)U;f)7Vr7CYzk3(UnZ9}Iqrz>aKwc0;
z=$TrNjB&?dLHdM*2)GuG1cp%f(Bzb55NvD=q1YqsA!$U&y(p<!5#mQz66J(Koe^#Z
z{l58DoQT2kB%g<h0<cZky>yZ3|81M^O|jPtqk&7$VFQzck%!Jdm2NdeX3vw`&WD5{
zGdQwx%#8q>G5MMwu7)V(5!}wPNf^h^gjkLcgz#7XQ=h{(1I!AnX2zNbW0!Tc{eJ^O
z@QS#X79VE-hlPQ7UNd2Y2CZO!jWG6Sd4#o!F@1yH7^~qbjPS7Rlp-cK+<cnJ(bf9U
ze=*U$>xeKu{2LZOk}m>^pib|gw>~^Kf@Ieui~*P19lI(-LD2kt&y7bPb%tS=lSG*u
zVfXa!=oCX@UFkNfdOH5KC+-|fAfj8rg3pvi0_3nu8p6?Zq_S-Lqq0QAC6&{9S~ijx
zSJ-lcVMK@i^TBkBGa`5p-|Z!NSqeu5Y+^RE(os0ymm{ewihaCRS2wPe!PM$f($HHy
z{9z-?l#es{(k!3yCs7vD(f&>8<$Cx}J(zvEN(_&@R=5_4@_5Lw%oIAOheOA0HxFcq
z<KXpHrDabA1Xd3Bs~^+Dm{-Ki=2H@|?Rh#cYN!YYn;MP#aeCl-|5sBrLlQkVtJI35
zlyE+|&Lt^P4>9Y*^4F9}p`Il&y=JX4v{hLWPG#vK^t{f^13l6R8c<f?nN!B{l%8f)
zjUEaOv|X=@%3@$U*ZGkN6;PgMsLhY*!NXkY%?*D!q<YnGQNNKOL5+?uR-+^A>8p<d
zE%In-Phe3VRK?%F?RT6H)6tfpUYVG!fXH&4H<#a#u~s<x&z~V?eO}y9k#ki9UwviJ
z(*_FC(+4ZdnOvTAzaKXytOSv@U9slZs2JOMNV4gpKGYBRd?0lzfqh=mMJ$Yl4TM;3
zsaONpCRGnL{hte7vBE#p)SxBN$YMq^#P+)hEt}n$JX<L9WqqNB?GXp(mA)7vZ9zFh
zL4*WTp<QN&)~ll{KO~lZ+Xz;F#dDO~NT|`gpLFhuI$lY1cxa^<qwE&X8u2hy9NhH!
z_3u`7#2?5JQ3*0ZztE`SX<jmLTu5|HlR7xU&s~moHN`_m_42iuWT>+mENnZj4sP--
zml+E)TnSZPC&@{{X^T@H3xewS*J7Oam28fCPtDsd?4$s#hpX#%t6{l+kZQ|qfpJ}B
zg<IDsc+S0{Bl-jl&wF?FtPENpkG=V<_+#e&<L)zDQB-V?`K_;#&p^)e=Yy6{DA?yD
zBkW*8f!C0Xy)0ASp?|b?pArh(*stAd?^i_;h;@%b0al7bS7IOq@!|uQgM3NI-Oy6C
zTE-kJlf#HtcqwpU`&HJ{rHp{@A4?W{00qGZp@%cbxc%&I-Lj<;43l>9JN*Hc3N}qw
zEU6-6pFB&<T?KsHES#>yY6;PBg6<w?RV2G`OOf2=P#RY*ExignD=k#obe38F#FtK;
z;nLW%uIviq7jVQs^Zm{y6<o5m+hEiv0aKX{v9E6d!ju^M!(nBxG#|=2vrY_W1>-$a
znL0U1Y$p$}Dr4TK$9q6P1mvVl%eF(ntM}ul{F(oLZp+#>XK7*B*%%m`T7l_bqh)4#
zis+omx|kVEfQ&=wl|AghSh4}dc#{J1hO~WC*aYxB^x2l6BMh`x!+X~kIZz*vd0*Y)
zMf=~5wDu_rEIQ7dlQNWr-vySYfmhrJXl2!x_qIUN=R+rxu1SNy%e`B}j|;{n`+rzJ
zGe_IkiTp}MDU4KKP0rlTi3=2Ym8Tl!m?~a2S$rgcRdVE5XBh`B>8<M+$uxto5<T|E
zL2;~^dZ0M%#DVO-z+?B8OmX&Jbj}GoF$7tzwSHvGfjw(}te@L$3RA0QO<U%?D*C!}
zN82tAtgJ6*^?qZ5sokbC^mQT#n~#2a>nR65Y;O_?WSAfeU4a5&%v`j+W}cI&hqsQ0
zlz7J&!P+|M_Dr93KV4jXRDug<I(n|Nkc^>yT64EHvyM*OFNYtka$$6GeIzZ<2;5dJ
zvcE10;flvom(9F9_!6V-W+ut(qw$>Kd~G3&wYPQNH{!*|#J4YlFBu|gU?SM}GXV(#
zC#_^o@PXZW*5H?{AvO+(dfVM3fJOQYPwX^5o*ig#m@P5D`@JTeM@|u7!LA#<<**>Q
z;*y-I=mt3bHC)*C7?a<*!v}oN6Y%k0*6)B;eW>J<|BRj?V27c+NkOy_cubZSY<%?b
zd@?HUeFXu9TSMl*>=VX~siL>%m*|jtT;QDfodD04jKN2tL=0Q7@?5=22gMS^Cptp#
z9y)$=<b()v1n<6hxSo#X+B>_IGlX!#^1PK6lOw+G=RF<f^)Tz4FMeu`F#HEodiIWs
z!P@6ccJ*yNRCZG=N7IDi_x0Ph{l*g5s6G{$5Uht9f%YBNWFkny5>4!Rl6awVH-)OJ
z2SqdI<a_UlIGnQheNa>yKRs#wTUhiU_`~<o_8bv>`JL>ZR3w8>YrJM|_2{DO?V1C-
z!bMTFr}~wxy&P_l6=MF>=%WA3<Ko2~Vkop~4i{omz?@7Souyb8H4*)4mcHUJhz;K0
zIj#VDQekv$t}ggDSBtNUl0dBUTs8loBErPOUd!a`BFtLo<-#>dJkZh12<TJ7-*Q=5
zqx-sG@z|!LFeC-_4_S%UAC)nB_LCsFOBc-cAB3I^;==G#a9jlm(&-KSYxPjNO=10o
zOR^wHXQ|v<Bq6ww(M+(@!`+>l5`Tr{p*eSWIEJ5$cttHghs%0sOpuH6-Kc<!Wch3!
zc?x0{ih>@o(NVxLK>jYFh)~{TYj-s&-V0nXut=ce=BFK#%HxXY9`Spbr9p#K*OTc0
z0ev*TbBW*Ds07PMyL3whHROiJ+C|*g$4Je_;;mWA7!MSCM_pEfzQjgj&HV;AKNicE
z8LWbKr+^1p_39v{eXV<LVh9ht4O>MRBs8wK^^5V)fO;U=v_r}WdZ|5|Vt7<R+Bx~?
zPKO3$o{GE8@EGIN{>W2YFI2(vE}A2ZUlT`d{~b}`GC|w<Us>((WDuL2lW&M=;>62D
z*1ZCzn0fgr>Z&vajO<>gq^}xCzvH2`C}D={FX!fh3MrVe5-A=E)xfZA6wgj2bLi(i
zNVOtRL2sfcH#2qir%AfpRI$Ll`0O{=c2Kc6r01T;<lU>R&^_gn3<x`zY38I+;Y)0B
zNWDUXMc`+<o&Ol9&HQf1e}M``!(J^#b1HI7*L6$#f!XiJI@@EZDD-HdJKP~--r%K0
zT{Upg;(lv|F%|QEgJ*8AsbXp+sqo<vkf%04t>~tJZ7I%+6)MOs@~WNHvP9`fsLS(B
z6fECZb1W=E32u%>A7`8`;mfg|b^0b5--9BOYs(ZMvDH6!)W;H!EGQ)-<EnTm$ahKp
zvn={mgAWvYTf#kcNs&cF6>S$nIL$9gVa=+6bgZK#bbbYzP0>hbK3ILpCrun?GP!^F
z)hwa9DRbZ)T?I`p$%CR#MX<%}d5Y}{&_tRz{XkzCyY$tf{y7RG@o{jOSSz3;P+R(4
zR|!)UBiTaA1T2KNJPu6(76%_2cxfxb*kd&9bS58O23tQRSpw%boU(bNqks!71a)!(
zH=Y_h_f-90pdpAgV?II-GV)r2c8g3u|C&3q)`@}q3TZ{592s;qc)WhMyao-|4~v$U
zS%BPPNYn0-LU_Zy1-E#1e7kMHUCF`Z%gm2o7qld?VI|{6S0Ec4-D4|Te9d7i+CFum
zSR8y-`?HT#vBKzX)d2aS8S<9nZ{9Nz1NVu8@dn#j@m0;o_`8@HQvIp7AN~@-^-<Gj
z&uv*@-rsZaS%fJ%6r;E%o)DqG??tU;I4eAEP>H_XCKxNPJ;_-ojFJ5x>?gZf5iFSW
zS=rbG*-M9KB0GgJ=$o{0?_M@gk7i#BxMqyTWKx7Ds}RUsOYgE(*|ANYwz`Mc7`}Hv
zzU@MQU-xV4bgnhv*~Gixe#i(bv0<Va@q+07dVTUR?^=|_dA#zSG=y7dAlr1B0EAA{
zUtdz^fS0?^-)sJcU@Hoz$iCvoKEKhVe|tG0zws8uXvhGsfBA$wv*t&d?Lt}VV=j;`
zwSTwqHGshHxZABGe8?87zul+L1M<v<;E`c{s4)sA)ob~%B=ci~(i2`ZtkLtcKA?|1
zLnZF!ReZ4CT_-DZfFCBV@3$Rea^Y%Wwg0g}K8R*J{+Xr=g6-3J#n=DQaXm30`<Vtm
zbU3UcC7GOgM$yv>pwLm$^Lc|}2|wta4t*c~6M~~};b`JBJ;)5~Z=J9ez{ud1?VW|f
zI8!_<9U7#EVtc`c=X`=V`Rve5v34TzmU53D7tzD9j8|!w7X?wd`(Vg8yC}Y2yAh=D
zR2Ofhq&Xg^5a3wvoqS@m7)n!1_SeSi!sZSHevyRmkrru9sust!fb?x|O?6Sfb=XC^
zmzkp)W%XusB{AXMFT}>Ki^sJ#bNN?<@uexNmbFz10i5wUf8Oe#lB#lQGM0#scW){h
zM#$ham%(`OEgi5&YbAvRi6Gaod7r7N9Q@>K%GRCL!GFHiVFjV02rS!Pq%EKTAAyyu
z=p#A^j(Qh7aas)1Mk{Vlc@^=p-IGp;(}9eRU`1)8IF`O^o39a5!VM2nwP}(L%yeH4
z@^DLHy=Q!~iMlefe^O3b<m#aQGr3P{uN0zF2byg*svxpZnDgKh9qh{6_&ocQG;UYh
zI7LU3VCJdTWxb+<JN=<fBl~2bOW(tld|efaVe+ENj=BgcnEd>YPab^2J;}QV$!L}o
zes}nmE<#mSKj!)>z%21xmYFaW`*LmCZz?l$O`i{&hP5Jk=ezFMTG60%acE7~T_%qn
z|97`UT?xkqEZd*$QNv9e`_cYwbi6$y$VHG=hE}m5w_v<Fa@8h#48-&y<^AZ(6t4>S
zKF5Zih}J;!*$<muP3Yt8^of%WODZ^EQ^nHdqKS-O%|7q?4IsV4OyI&O36fQu;__@-
zNR1l0oAJ>Q8Y^e>o^+_<YSpW2AxE?j<w!1d`)h=amt5xDi^#B@=Ot-0Yr#Y%)?t&h
z30#HwKE?!5&}BnBQPZdey~W(~ryWi4;7@ggloS;o3N{6bMQUL?|7Js;qh|QvVna2$
zO~u>L48@#5O&rTSQ!#Yc9G)yaTm&T=E;xT*j+@tj^a(58|N1O2X7k_fz0BP8E>h6W
zx=kI&Y+qjW{l&mcR@!L)MH)<;4LyHuR>NM0y!PoxfLl-cFLxFV>0yUh+w-aD5)XT6
zGz@%AWak~&L&J@NH}QX($l%uAkk!Vp1j}SX|9Jr#T%M_=Wi^m+EQ0v;-U&<m_wdAY
zH<MpdgHoPjH<VGEo9+0s+7d(N{wwFdQ1II2sU`KCA~Z#dE_%JQgctqz+aWOuE?CW%
zY4Xa$zH3KVU7saBx-13U(;&k!W7c$&qBN#SF_MQnEb%7vamz(@RSd9x3;T3P97%4~
z?nUL67@cT45hh83o{+uYLsjPdb>VDA$`Phc7GX*GMP<x9i{lB<6aq#0>**pJOWZmi
zO0n-!!mWlj$3b;|7-rFCBba%|R!M|~R;~z%@YiFu4O|eA@r~Pf4+!9Aa|t@BfU#cb
zvTmNWDDWFgw(|ixvIir@`sFZnC5h_A$p%;UfC)MmaPPf{X<d~J+C&@nJaAZLe48<y
zG4y6&BIwHm>uo8_o|^ESz5b6;m7nK(u+##}RbxqCTO{y^wOa2i=K^D5x0?^)w>gNc
z>t3k-6N6-6+-_ytImTh>?ak??=4jLzXgld9isuWF_cW|#88$z1XZcdi;M3u5GWw1P
z-Zc@OpFjU)m@if|di0oLs&d72SClYfC9_=$cxD-rRT(xsG*c7=<>{rE3E^|xxT=21
zETg`kWi;Wa2~sLXZXX~Kkm0&>b4&gl<M?RfwS|6Th}|yz``AYS60eMkDktX|+b4=A
z3XF}RbnLqQrw4p^UHV@_+~GyWN4wzMbGb&~pE%q`u;aza+?)biyCp`PsQZg<b|Wm^
zx@#sy<UtMZA|6?<FiO7VdmIcgM0lS`MYAY3GM8O%^c%21Mq$W0<dXp;g1II}9l7vv
zB*c2omldu=3g1gt14JBdjlXt}6ZV6*{Q|DCq3fqyRz`<DLO=0N=-YAPX?+D*Xqp}I
zL6yl*?DcV0K}+0%lM|JjpG_Rzz7|he`n<zl&{3@)VVyh0ffHex7Ip7AAZC^necgo)
z*ZaROoM7d|X4h9N>-TXXSvp|+$bcTcHCaWc8gU}(-Kk)HNgj}tn_@+nd4Ydi$L)9~
zC(I-F?zQ{E3ro)L=T9+n!DuQ;?zRXQ*b0L?4?pKe=<CW5!5m%eE%JPHzJ?24^H-*0
z-Uwp%h_Xw+kuGk&TKkxAlp7X{`xh>+5RfV7xTG<tgJh9OKj(csa61=vWQHsZ<L`Xl
z9w|ClT2Fe?c8C{_DyO4@0*Ls1@%x?zLmeF4Af9DV!G}HjH(a^@Pz04(-wfJ+YU5Cb
zYi~BU0J>(y+LEbaAm|wHVlCIkQ=6)@q%=X$MBYC+cbCZllIO+caBWENEE7v|2vAlJ
z{1WFTiHxZN_b^LsFzVN{y-5<nw}wBKEn?C*u3Y_<CaI0~ko!}UNy3Qu=V)9zD}&j=
zF?-EfEj)Qupz!H35eb*W2K;B`FgU!A{p4#c7)A2tC%22Bj6AYKFHHeMlW#7zw`gI^
z*8N|lkQmzDFT@0uDdKTXfl%RFEvS6>N27&{Lw47dM=2kaz;f<UIwy-Zf&xGLgic6c
zWLKyDGbt53%ot&gui9{ykL7=Vl$nF<M*3dvAz@K8W}3xM8<I0^Jx*FOSQx7b&uCJ`
zBG1Z!u{+w>`fXKY+ng+1BXdKjN)!}?*Lk^$>0sx9bAxYs<Z*P>dVP5+6|{CIf3-{<
z$cyEqhK(qILX9>S_(enIg(KnC>bh`JQdj#rp$NOT`%ca|se}4-LPB>)7e_G}yLnLw
zA{)2J)?L#;OhN^b%H&tQ{I^F2{3@VZCU-b|(8TfSD{?K&oZCS?SnIAt!l-J3me(IG
zXpdaaX)n{qwOrP%t@^4EIrTQfDO4MoyGwR1y)(e*RsCJvR%B>=AWI0hYvWdYNK}WY
z5oUINGElLh;7w7M+X+_Y++gThN#Ab_w_(fN20bdq21+!Qgmkb&X}&JI%LKCH!;R~B
zX-E;#Yhe7*#<c58=@uI^3<b8b7(Jok@*Vr7E2Y{{H96KRRmt=#_SG2^cQvT4<79lM
zYU6(Z0096043~#LmTwfsZL()ZX7+yH*PhSir9vq!BpMR+LkdZXLWxSz5S2m^QB;zU
z=SfphRwz<-WN(pv{($>@uKPasxxUxARJN9Tas>gtan}2>FSQ{(+;7!5qlZ%m!ul?l
z0B5e<99uoF4YpPO%T$=Uh*$OuT2l{rkJlG1u<C&0U)7?KwKm*bPHnlg%?3(xvZ2)t
z+9>&Oll9fS26pJ*)qPN9gM4Ruj>3c5kX)dxPfJikPvO7I!wO8C{;=m`%r`9*G~LLz
z;88*UP=e-!I}=^^&*~3}YeBnEjH!5132&7neeQ)bv6}uLkDRI|BsfR(^MvKGIo{4z
z?<5oLRg*5EA{u!A*)nUtmo&a<iYn#>F!9Au^{PsT8g7QNyXXi>pd#$o`MFh0gpXhP
z`{0Hu6dwO88q^ShmFIfFo%~F2Y}!9_-d+X5m880C2p^O-Fi4x%HaNI?pYYe=mFPT1
z^4Oo}#4csS>%R}$pn*CO!f{mzk};ojnaM2B?(y;4Az=e<qqx8VC?d+WbFzwej)+=0
zIcZu1RLZbkQ5up%R!=6e`@%SJ%;@X7ybXX<7LDa+$O_0?helN||4q2~xYLH~3FKxt
zG`h=6L(Koegm88jF@65qhY?N!-cPd6<P0qbhvHqSP2buG^CvF;yUeX|KghgbZ;v==
z2L~Vdt2Ghssv1Luhpb@AEA0E5OAMNCXXu*~>WQCr&CRX(mO%MD&zVgkcx@LIbUUJs
zXqcu~oE)^kQ?s(0J1+{M&`nXHC#;^BWBw)QX%=|NA@6bU13xNTgJ<uGeIbl_%9_K%
z&B4oGdURqFFHV-;D%dmGLOklo7Gke5!v!Hj*=ZFXgmq<~vaJ73^rm$QC(4>3JbQ(T
zf+ZI&2M;==Jntar9io{$hfSfAZ+fQdG6&ww_!`i@bQ8|5X@%?SP4MdK`wfNa>|oK`
zBBQSTi%{Ov6=Gv(f{1TNLir|G!I8XgEUn--arrX89(COqCU+Lw^2b<^p?RdS*?olY
z82Hti$7zfOOWvGB1r~@7lqxw~86%Px%GUe}F~ZLmp>{mui$qG&t-0stCWuj&JE<PO
z43T5#=;tx@m$=%JTxWk}iU<$goHMc05T71vG-%lVB|b-M*2fgg5Z9YbRBpB!U`X$%
zw|Ub7@oILTM#GOe;<1bCQ~T`(_*(lVO7Z>zk^k~*g{#H_QIX*wJKD|wu}-;0t89T_
zx;{BrcYcwu3cIp9!H0o@h^H)jx&9It4Tam@#Iaz2_rwataXRiLnxrMg|0Q<UwT<5U
z&I-?`|JCM4(edBm9(EPmMZ%dif9Sy)c0_J|9&RN;M^^mlgXWBX#N(2hoe!%xkUKQX
z=**`9UHiq>X|o_Er9-*chYR|n1m|OW8fJNeIh|WrU^}{1gJ&fVJUadxzE-CXz83qA
zd+DsWx`XYL+`nb`)G2qiP(~k5yjY&doo2&CxZvS?to(?VIQCpDKo9LUy3Ma+*%9J=
zxa7R9Ag&e7TBAxA2PB_Z&SrB!%Wb6Vu&ppIFW%{?)7ORGp0fpReVmwSJaC;aUIYi)
z{@WUxp@VI!^%p)kaHCj;@%VkeD2`Nbe!x`FfoQ1w{lm39FpcTl#I{cyAyRWw()YD-
zv3X|tMFcP6JyqRTa4pAO`}g5nY_+kNke+F~g&(`)1_h73mBhB-LE*4LEo7gOSp4Q9
z2#Mzv%_s7tu~RH>)y8{T$O&w)W7-Kr#yGUr|Je$pod4(c_plZewTd!mp(1Ff`*u1H
z%Hd1!wyH^YEd<e<9O^1XVP?zd8dp_B*4aX?<=eFI;*iSfQf+a>WqnJ0?5BjNRE~^-
zU@ep=`y4&^SOV2CJ>5C)RzlPy|99L&E&Mc(&fVfBiPURfZl;>4px*O%a-V=UKIb=x
zom=vOgI^sg(<xPOW@xD-CToLw_#>{3a|ImFdhKA@u8#4)UjJ1%>0mOoPC8Lg4nym9
zF6-sgM4-BNu&9|X_QflvTAC^#--&if^Mw{Jz7iz@cIYAU@s0ZTlp-?epYL-Y(*fzI
zqh0b!ACAmFyZ9%SuxU1P=(~v?7=O=I*gvCT><Ej>tbsD#Kg}*4?bpY7*L|^rkLXAh
z7;b+Vp@O1>q*He)X?S&A<Inj92E6J@-`uHD#l^F8j!hAC<Oq~=_RAV#gTPL2N?siW
zZ=Obk$}_NTc(2ih1S9kXMeP^$(?I&G4{Q%_FyI=Q_CRl?2{y0(yFD;Z6TWilXFUfQ
z2ypGYU)W@d95EE#ZPr3(($f)&+W`61N4XB%F-Q2ef!|MiwPAfGwUp>(;6w5gJ-0|p
z99whUf%vS0vVm~IEt&xt`!h|0?$+o{PBULPqYLGeJNje4(!u)9Fw#o`*c$2Vu%AZ{
zA(h7CEJHNdbzS<35g@YpgKLn39z^|8{Pj-h<DhEKuIMK=s9AkATXMA?CKXCNtzPSZ
z@!<1wpY2R&7|EX*o7cr@jbP=>Cz{yxZSYTe2NUHDHoOsjx)A!YH);PtH8iLg(Y`Qk
zp}@*nuAHKSlBPS~56CFvt&~MxbA&B+e0Kjce?}W*&KLC`=?d^M64$?b*%rgg4U5*=
zYN2ZUL-Mq{G_G{ESBRdmh2zXAsg8yvJ`P`vwY(sPf^t?dPY+uJb!Xk!W~UB8qS3MT
z5kJbJeX=e{+2ZV~IJv;vs<?I~IMP3b9cSZDzn!I+5Ra*w_8d`0%FVYypNnUR&biY)
zFP3<Ho-ykdXtff24zrRrAA5+?&1S122W+rubg(}!NfGH6b=7lpGKo&}=+EjQHn?<9
z=Ig#5IZStadsQvePNog+zR>*#5S$Zw6!K99Ty@)XHSK<rCCB0v6r+GvvG`fV?~<7M
z*Q63FHcq;FDAeEJ0orbvx?EF`Ko#FL$124sax_=eQCyWkywQ%{maC#D^M5F;FEB%%
zEN|N2Mp$F^$+lZkHo~ZizHHAcF-tBUy5an7mlf=kZhLAn`5{PuF814hmb45F+cy<&
z39Zjp{2KQ0z<;CP<|Lb0a(SQb&cad)*eBh|cs|B~xv5C?EhRH#Yr6+~+qgNrp3yHD
zH?tyJO#Ddo$TZ2}@-9=8VUF$>e90B6i^LvtCH~ti(`0g?%7}TG86q;R0-spS5f<;G
zZmeINB#XwKALYL`#Xa9_Yn#qV;&$W7KU}jDq+_d8lANR|><o7(9^@M%xYPY5x6O@{
zIo9Ibj6f6k_de}+-u#<jqZTf8@s5*DSnZlzZH!SCCC|p4J%p=_=Z#**7<uu8Bk@nq
z7}IvFm%5aH67}b!-CrFZC7<Pe|Du^}1oJuz9dnUp;`z9IbZ!0!x!rSo@*ArW<cyPF
z?C+`}>f=oZT^|gShHS!q?S~A()@#2tZ5c^;-){Rv9~mOcejHuF)oXyFzt`^;E?y-f
z%cv=r;2|=bb%Uzr4g&-wuJB88eMFiYWuz=KA0jK~jTDr>G4MJz;+4g0C7C=VcS7BE
zh~#o#exP9+1J)hN=A!P^WV4_#m;Z$!QrmT)MD{x!*+=Sj?mk&hI(4q?ySrjZ&o1$!
z-FxVWtE!8=ajuDsf3)1bZD5%6?6%Jm9j1Y`f6!LP>l+z!w|RB=!U(w`HYFtK7!5g+
zjt6Tb+R5uWT9XAiqoh~6mWdNT4dI>wk9W2HB)eq|Vj>TZkyR~9r}sf0+V7u#U3R~d
z6k%Jx;nCi4l9^`qGvI(8-oLSp{2kFvddp~S$qk<%wfIuqE@tZD*v^3F0?%GD+uguW
zy?Bz`lF6l4+@^z(BNHPpHvA&DA5Y`jBr{D4IC1?~E31P*Wk>oJ_W{!9t*C58?hF~u
zxbIu%rH!AJBgGjpgXA<3Hy`XfN0tZZo_f5*3z3;G$?bK+<X6j8RWmO0WM9b0-(Z#{
zUpE%bd6YFuva24o*m(ReS-#ACnY^1OBqvr>?VKMY#T7?s;%)!PioJF!l}|PBaPY~h
zeE}1s|8IwxA}dy^=8!@0acK=q&vb<N{hK65{3VYG6tYn!&7s^!V${*bf8TZW(`hp2
zUO?_Tdk(5vzUyxPgc|M$1ssvPJWIMLe^21#<)SiEwlEd^)DY<4R_dGfhm5zc^VXW<
zrmEtjjl%j>VLjHZJlC>7F3jcoh{*6#F}7n_2Le?==f3DGu=XDrF5CSf><~ZY_UXdq
z8-G=xJ+?zAcY%d^Ht_CHJckga>SO<{{E7<hTDWS@hOkjdDV@cBgTj>BK!|6#kqTHA
zMx#H7a8S!4R}|=ni&B!O3*t*Ul+i&i?ka2Iq#O>bq>_5#)b3YBo`Tnvp_U>NQSgqN
z+L+{G9wM-u+T;|exp$W`m}_{sYkw`HbR4_Byq1=t!uAblmm4c1<jQsZ1Z#e(G+eFL
z$W?}Vbbq6IxPmgCwRf9ctr4VZ_(H6RDp{&B?|xsToHC}~K7H(6BTU%{tf<upR-h77
zk3<_ADx<x(D(mW2Q7Y`xMYch0C91G8?)?MbC7%u2AN-S5oLXKc;rF(DCAG*w^<|eU
z<1cHkQE{UL#s757^|ikW^-*RlF5grIN*O(N?zNJXb%5H%8VfZl`|*`B#ZDC{^If}G
zJ}ph@2+)7M)6k$IGOP=1mvY3;hL_y-4zg78g}}{LbS<hqC_G-LRSiv73nnw)%TsFC
z_r#7m>rginrElk3Xn=NU*F*hMMT#lJzuqfKj}qZ&QWg8HiT%&EuXj>iNl_cWmt}j<
zsHXk?5pTw|A-usM`t2QMs>!E0Ni>vBnR+}izP()!ts8UFVi~HG_FlQ%##0RHnKzHz
znPeI|Wv`IjHEPtt#uFEtBMm6ojt{HHjTkt$vS_1ZfCja-QNLfw&5+vIIwuvxZ;0T&
z<X5@8TGXblzt%eJMpXZa>oW<G#^5#_wElQQn~ME0A(C{+h~lU}-L!I}DWZbX*1Ztd
zrH=ln6H&ctL=7wXZ!3Lhj>I=#2c7rnQ9ol&t_t35MD2-=dTXU*g%a)2_h;htsRHv?
zZO3a2sXVu}p_W$(l)vussxY8YBlDFU$G#X)k11Er**V}@R{nnGaT*o)*2#9&aRw#a
z+`@<zWkPqia?X<!8Wlpy+0J~VQF>pZ43l_lk@ZaG40)PH{m1?Is92sZRe1PZgKE7k
zCbIH`?3pww{rgvolpUJXFY2ZY_Su1BxiM4ywm!u_7{wUvR-ryIgf$Z1+2NC7#GwE$
zJ?cLr>xRb%6)CcKS!~{@9Tr!_HHUuHp~i*^B~I*+qGH1?zs&Bl!}|F21wB!1O0M+#
zvqSO1l$6kvuGteioH!Rqh|6kHKeH;oUsGqNIyLI0vbNjd?!&&SX)bl@I{WjCd2*0U
zU-4Zbv)>lmR>myr=}@889X@w{jA$Za-(>WJ?OnRpBfH`qr7Nid1<7)g+$o|}z-#@!
zCMNvO=(l{ip-8o5v$<F)vSP4-f3FLZ33-Dv{loHd)PVA@E{RS~=zU=2r5@P8bgxyP
zyQwsFVYSk~(=N+!)GC3cafJ;ugP#3MOpu^BIaZg&J?BGgu7zOs1>m*YwQVsfqSTJ8
zdwZ7K3P7npwc<Z+;7_#1OBohHYVBsX#+9mqIIw0%i<ba_#(;qLvNk-_4SktoAI}OR
zo#~mPD{T$O2$g_I9(JlYTKb%GiXgO3oZ8h&w*u?(ws7w|3uI@L?!h=eL8PvH+F0gd
ziQdEKuGgtek`HHnVlT-GVjEv(*JP{(luxH}9uw;)y$`XZW>g4Z=+fxN^q1zi%HE{b
z{j-VWTG#dM%`O2n4JPV$aGIl5wX0U(atg6n65pI7C;$<~TK$1dW>|Lpc2dOtW+MMJ
zv0zxoj~nxWoIE+E=p*-@R*UN)YJ-K#)e88b=hE>fox>C>@27s<zIT`?AIhvb^MD_5
zd~Nzh`%Lh`jc5usogmtCTvjcw<%jgCE)~yuV`v)<7sdBZ6Cu>Ux>RWa7%tS7y<-}~
ztkZF(Z`~ha<YmiI&GQ0?C4b48J~zTawY$5vhyNwIg7w9`H3d<6?n!lwkr9rz<lb0g
z&4L&G7mlQj3u5yLVa}vyh7j5!Eh1FN3a!FSO}2g^tbDm8ZYyC3y5;cW%~I^B2-Xe!
z8Y_&`vg{3Cstur_JHI9PI0x*F+|LfuMBwux=%vao1Jr(9?(5URi8aO?4ek>nkT&eU
zwP%ijJ$ymV)oZz7{%gzM#!sSHoivnMnZm$qQW9oJ9{jF5p(+1b46fT}uSHoi(8al4
zaK?rgn@g`f;A<4ejLUAXu>m^rM1!j`zwlvAM|X7eKM6QtT=noRI@ZZ+<fcaoAd6r#
z4O%0KWm`8}o!Ul6RPhHEe+a=a@vU}Ez7)bll`QjR>2PTF3)HzNjGd0D&mw3tNGjN^
zbNLqyzq~Dvd`J+1G25Sd*M=2%SW(<R_kxD+{3kA5N)yE)9hKW$$#QV}<9ECwjfRF3
z^DQH!7>d{KGnfiffZtfLLwg(z2Q4)}(5A&<_vXqUsR~8Bd%E}gk&`s!YursbVY3{5
zb)UMjJ}aTM)NKCaX&P=Q)AlxJN<!m`rsb8<l}r1^_p?^lX?SyVE@fIq8Y<b+oC69f
z@S2{g-9XYHQ?AYLbYBKA+Zm?fp^AXqUACFiH2k~zI<wbV7TF7VtkQSXpfJu*>bIdo
z%~w2Uqo6$E2ZC4{$JEg&5&fkjlMeENvq@Bk0{lm_7DDYbajeiqlDUF`4wmfYF5QYy
z7TP=^m8=CnPQHrtd<LAJd~Ch)Qwg^&y-&*jsSV?MZiigm3~+Px&b;idmH5RqbaqTu
z7X$9K)gB6lurAF#zw);-^1AyXjxhBweDu{;Nj4)$`FKw(PN?9$S>D&@YxMEq9Z|2v
zVvJbbdaw9DOS$93Z7n?!8kX1Y)3TK^!I}}<P@g|);4A)Y^llFg9t~Ur9cxS>+H35W
zHmr_`ts=M9E%7PDG&0!eoY~SpOb~rsrvU@k=ffZF(4all6VLYD9K;$&;&YlN`U=!s
zm6rN+r`=&suCXO#^W1IOoU|bBC7%-n8s@!EtXiLFg?i;9^{2mTVM|g^nEW+;h$wtx
zYIRt{!20-zq_sBke;TV?+@goitBjAa3IozRm^GV2wNYgrkgP}QU`xHS-_HzSonX;^
zt`pjD=8Nw%>CnRVM@>4sD{YV^8TcXCMH>O%tk>RsuYs~Fg8%U**g!i)BRyt83pS7F
zn=E40@X`2z>F%F4aM@@3?o*H!%uZ{tZ`D!3n61N#d>JMz7Z;7sm22YPHkP|bYm|^v
zMnCY#f{EFCCAZw#H6VJE<EH$yJdR(8>~*qZLNs@o&g6G>EdCdLAu3J=<~Y-1Z_I>H
zQ{C6Lmuleov+F?Uf6H-RsYF~#oQcAE*V6GsRs3X`qHaDAg}X!;^X8JC>5sN!GMiMu
z-E!If-g7}b@>%ua=PeujQzoZI_?Gh5Z0DNGb3FKJ!8p^s(FVeyN?p;fm2e`1+}a_{
zfxb@<91ku4gRe^|{ivlmxfFD6jR*_!&wcHiPY1$Yu}APE$RqZL`_zVvIpTHg_}z3H
zU@v>Z&H$P$(uJS>IDB@JP;+=Js!I{5RQ+eLWn3DUEoOW^6pa!O9uX5k^VYbZ{j74P
zNfHm<`Ap>x{wBJc**w%ttf9Km>5_hj1kA7J@bNhPBAQS1ihd5ULinZay|+Zg5&Q4B
zumaIbbaPxAiGFH{7uzVyUO!RzKe2rOIkJZ^GE<-}&RIZ2$ZD=(P#7<)zUQ0O_7J`$
zZhuRd7O>Vk#j2ty1cjF7ca#5m33o<)^xQ>rv?t|#PJ6`<=fn=Zrp{l)&T}5|ogHSl
zul0)mbrvr?&VNes+xnX*Yw>A`G+p9L&(%|nA9+wHlkMSTF-**U?5nA|Y>FLi)rUUQ
zxuJCMq=r5@N^s<*<UO4*flGMj+KdKHl*LC{aGV(@&TjUVpt+e~Ati;^?g0lpwGsyr
zI7w6wJJM8NF7d@!Y_g@49j;q9mI{ST6RKA;$f%_~G=EdKK=~{i%+;=qcwC+(?ze^}
z7^WLRRd$Qjr9Es|zacN-QuQB#z2oXO{pCjJ_mmRcJj)6Z-NJ94ihqe;55yyU6Ae)!
zQMItXh!uf`=6aEd|A_2>K<_3&L+Gr!#$|Ao6?(%?>Ys#I(cVGK9ZfPo#Vnf&Zz?N(
zXqLUYvX2c6w^o6zQU*A_`+=EN1uH_<{&<tw$c~mx>skWuF!1}%`LQH+HcZ`*lGy6P
ziH7Q?*cJu@f71RmYb>3A>E1HzG|Gjx1-0orZ|V3LwUzzYZ#J0yHzyvL#e-;0wZ!2a
zbZEJ=gu5oN<8l7gz%OCE5PLnj?fX0pK|cCNe>!oXIkxq}mjHfr%Eg%6Uh@C3fIAQ4
zbUD#+BPVY5j3BDlAM`t5M?;C`8((2vF1&p7(ee0RVf68BC{pRr$6$F!PP7v@Mx0uA
z?MM?rY*VJ*D?5FNIZX*N5_zCdu;y^?kSHE|&&I_S=^-rk^}46i%TU>vl^E<Mj^gfx
zgaEo8c7=kaE1D10dDkAa{*VB_sPE&{a$Ss<osF$F7Qk)ZToKk-NhDm28rkov3uBF3
z_h;flcxY|Bb7q}1;!0cAhOz5H$k5RE>=FmfnqLPM8?S(y->vC8l{)ZZY4R}77s0#j
z6_XsR<RC!XOG#hT!5(?0+KUcR=-8(3@Hnb~n|rd7Jz{jQAnoqxMHk1UGwT_z0YxaJ
zH3mDK)q&|2wqU=T5-3?qhBRugM2(u-D7`=j%>pdn=anTf>(-H2b5a?X`&jKtrgU&>
z=Y~}FDk)s%jQJJ+O9g>b4`pU{>tcD}^?R!4WuO|}zw6>|H5}+x<Mo}@#kwwe{geP%
z+}b2v7um0lf+UxL`WJe*8O>b1=r0e00JhgZj%#AEbRfs#nLakSmc^ynDdO^JBjNt#
z+PIrn{`E`95+5A?tW(&fgx!0UbQ~Wo=}`Oh`;QJC9D*+!e9o-I`{g}*=WX@y?A>Uu
zE*Aq$UY*yKOO#<yQPd#!MjvES(F8x60T8&i-)KYyB}W6Dk6odGDb+UTr(}q~nR@BT
z8fw^kSM}>MIvp3eiC?VVMlh%j3|zBQ9qe`u%*H}Go+XLu3BNan=bjt)oD(!KD&(Rs
z#m_)m`^;kjM^kui_VK9C(}dghlZW*z7`Vl?>Z4b;8MG=|jP#yp;c)9yO3j3UPwi?P
zYc5)V>+skEryJVvYwAdj_(R9(<hks6SRsy$bt|Wb4s;Hj3;!BLM+Q&N=S@S_=wY%e
zBn|1{&d6KmC)G3rM~&>7um!e>oU>PS&;|cH4(rQh`UsF!SS(<*!EIWRsn>p8usDqQ
zM1|^tP0`EiUak%Dbl>e`TdRvbPHTTWZ_|R|ib>~lOMJO5c!b8fRDWfyUh@M^4XoFA
zv_0@H6R)Jg#9Ezo@S@O({{^2aj`_+3%ZxGcH*wXTBjMVR8jw8Sw`?Vf1boa@WNp#r
zUMKrAPz&E;9FxTi<S~^vs?@4xi@px}wHi}RL>3L4no5_#{@<0m=f!OC(Kn)WdHd2k
zN2UfRo)Ck~mTK)aeN05%vi&HvUkx75QYO->1rX+J_dzU+3HG5V7mY3zth07kV7%r;
zedqS#?;Dwz>V0rnYO68=J$Y&D-~JM23Gp$bV>ZxlXkq#JRter#?f$Bf<3whC*px=R
z4Iau?e%wJQ;`VP%FPpSZf;yP~uujGXv4O)OQE_r8cG-S3y_g~ny?ps9IT!HT)gC$V
zL<T%IwO0mpK9ak6s{+oN0GHbGn7Q0i*zwBvUc=SzWXAMd@c#1z-cQlr$i_*a^RV-w
zwzb{le_IZeZhT;kC#MrC$4tb~w(X(Sda92s-Wx?XZLmT?O>8-&L=cu!lCO8MpPZ~d
zJv+T<2~s#+?A1m=_|K%77mE&%S1#z!|D{>t`R%Lwz3O<;o}uTjn$k~N={`IawBG`o
zSmwPm^0-lc#qOc~u3x0+?NmAY9CP?r-nv-a%7IGPqi2HBd&#r)8BUvr%piDFvsA-_
z4Hd&Cb&q4Z$!CjUdag@ctE4ZZ$*8j+GI&{#vQ8(t`?PtZVEj_9^WE}nS-=7j`C7Yd
z_r4#bt5#K%!4DH`>$*v+=b0mfPL&@|+xd-Lal`k-Nplm#gnLVMN=y@`tik6Lw|^l!
zTDfeWUN^?XdDZ9Q@e_pqkmfrC){?cuk-^FTjNonb{o9D^7{QkFve$dlJ5tT5Mt69h
z5u&HuYeL3`iB`Fjb3bg#N#+Zl=5tMkP_*GM7J2iVIBC22$#Z0pi9Xr|w)TcFueUCV
zk?AK+MgFn!<w_;eA~V(uzc9e2!JipsUA@HX_>UoH4;B+bd_5DsCQCVa&EiH=(H<fy
zOxQez<rT4k47N!uVxVCBxY@FsT|~Z3jKs&-4}{FF)sYTH4EzrO0RR6Cmv=bUeH6y+
zP4?b<Jb3Kwcg%!JN=Pb{Bq=Hql9FhMcoPvCMny=4((hD~BqcK;dq!qP#_Ruco$vQL
z>%KqC11r-HLiz|>-d~3|PkbX(Z;m>hsnCKu_j>Pmr1cV%$Sv=V#5NPheA>O~Ewo@@
z;JwT1l^$a5Ok!b=P&*M<>>%FsnF=T0`F)E>?;$D+Z6eej|0F(gtsQT4r-DF&?pv>8
zJ;c?Fn~D<lzle;t&i+j;nlOD(4V8m>2;nOe-hNTNgb}y0IM12})OOm>oxImWyq~+d
z)^wzwxDpio%z&Z+d@W61U#|5KI-Z6f@{bG>l82o4D;!XVm%cX`)M9#xh@A`eM`MNw
zqBQ+eWf}!sqNl3MwfYFRpF`hT$x$Nh>~)==?P@TW!|p!M)KBoT0AE0$zcWaW%KRoY
zM`rH_NT>nbpK=BPh5<q`c4x>`@g%_{*{bYzSQVBy=Jf_u28nvh+qqvVriiI!7mX_~
zRA63hY4T&(5Yc9vFdAbxL;T*JIx)kh0x@NMo+b0cMArP4=o9U;#F?nu3$X{4p`#-{
zSt)yzcqDB3@M-2ek@K9Xmw2xP@&#WUtRu#W51apbRa{#jWCV^0NGK`6QKg5K<<}>O
zlEkfHevg)j&sC3p$R{cSkDs=4Q~Mv{*s?qm%gR53$0YFbp*01#B}si{r8P|q?y~PZ
zaCwbTsL$YB2vUGc9Zhj2w`T|xUaa#epaFAZk?NH(dDv0VyLwK3j+hYKp7x(M9ZXty
zJ;*yE5909^30Xhpi4Vgv9K8MXu!)6k#c)y%zG<9HOMA6Ij2M*sM@upSt2%8dW0)Ki
za8yKfHY^cFr)+Ge>X^YUfZOaWn;h(cDA%3BE5u<Bu1C%6Y~Y<*a!l&JEc74xNE4X3
zM!dSaqe$Q~2bA0by=*I4aI$8h2$a&mw210pg5@TV4Vk+A?Y9g>3Xdct7|{W{eTU>0
zSsq~YtYmzVB?Bkrw$oIN(1W%4+``N!UND`rCz3p6p#34|`nC6r;B>P0RQDZzkbg6(
zIHn{6K^NN26AjD|S1R<n>5d@G@6x@MNh1S(QipPmaI!%|1^s`ozX$_=j(haPs5Gd5
z5vNXH;s9Zj_VpWjVqkcr>3s5#G&DFm)i9WCg4y=hzjfLqAToXNb<2`8aGiYdok^Sr
z$gMY~ls%-uc9?BGbK~6@*Jsxp-|)hXcVSyO$7SF@7q!`>Q!<dxKT3$j@dJNE-db3O
z93%u*N>YY4;vdy$$wdglW1Hw%#uEy_oDQ>%7i8gPZMoLZ3}LvFCM0?2kP-+P%C`*c
zkb_tCg=d_9i^5^;civp#Dj;6H^WR4gdC0J@_%M4^0yvh%lj{rBK&-lCps7Fsj(XKz
z72}eIK{J=*#*6BZDSBN_-Bt-YV<Hx$&dI=Yhcj0NRj82ovNtryL<KAj=AJ%dkb|(J
zWq;Y+w1Bao^QT&h8m!BY_qb=t!+OT}UHxcnkR=;Vt-EVL^Cz=q8GA*jcoj06ovs6w
znW~%2>!|QSb41K@T?zgg9EoSYtqVS8`U{`$YeRckl7Z(-6{v_TcauG;2W^^HBqqvr
zfk|?knWLW?ypA0_#>Suz9G_H|G#L#*G~GW@ok<;{<R0`McGd^BdG5FiQAV)&!Kr5w
z7d3#F&HMO(tv+O5N9UU&rtt1o)BfJCnvkGm@kO>p4}SbqpL$K2!|NPfI^RGlR5nC<
z_RZ_Ui{v29(I)_xH?L=({XzwswM4^-d>u&LclV0#kOgpe7}b1Tqk_Kn!R8%*wcyl>
zRp9eAOSnI7kkznC1-l<$J=UoScD5@84@RxPFQMeNaV-^Uc<Ua-?ofm5e3AF_nbz=f
zcC7N!zK#5%48E2Z6v3dXW+_6@2E3RJ&GRp7f^4JWPLl!|7+>PYbY~m5+r2~6{hvDQ
zu$#T)zbFEK2D7XdTx>w^r_5ZvA_Z_4-PW_)c!2Hr?2Qa18(5_eHSZHug`#lhyUdF8
z;OUpMrSzLM?Dx^pRvT4<<?^5By|xS!gJtx>svg!L>_|J8aZdrhRipBN{2=*q%u(X*
zH!GlVk7K^ETMlH4eHM3~TOq?lg^$J>SwU3xpDZC>8ED-7D%;155xW&0e67#0gx|YL
z1)@j^$oHKsZ;fU{bUe>lvTgwl$L_E$Cx`&Wd3&MI4lZ07K7V2GkOicsR?lFj0G#Bw
zGW<4_8&%CC<32Y6r2jRPcr(KTx7Us7j&9?@<!6iuudD&~eLipeNR|__bF&+|YI$(A
zk>SU!a|D=P{}iJ(#{}--Q?w`6dGLhR44=?NbGYzU{b0>*S}?d1*AdFZi~ccr&yL?R
zgX0<I{^D_q#GiY=ZEsET;C;(;o)s@m;fQuiL*SQ5!nJxxRN(^;dP8MF@1O~=+^YFd
z(cDQK68!2=lEQ=GGpvjaQYMgH^?W8mDVhwhv}y`I#Df%(%ws_ZjiG-cmUq6rgAC`m
zcC*rq2P^J7SGAWK!Jnc?LviC#lJ0Z!kh3fgngs-%r?MG=<kKdjhrg%E&>3!>?}9ui
zfAszRnj?lFQP~o_R`HiCh*@Fnk>J6izOjd_jRvr5Cct4%_#e4Gdw5Hr5f3iiZVHJd
z3?O8=ELTc=o%AxzEgJUc!H*u+Uk1zcA;@r>*&%;g3{`(~$mJOivOZ)D9;NDo3cbYU
zGb;2rRbVt7!N-gHGw17%Jkx{huijD*zcXO#-?`fhS9$T!OYW|nrh4EQx{LK`026}w
z)xFjde7H_T73F=_g`$9GR-ady(PEpUe#=Kb{C#hmbEuat<cg#*7G7n=#hRS$!q@n5
zg1K?$(5endv23YI5@W}&+wW#Y`U_yEq|-f>938N$!vV)q4&45&Y;%~8Aih+S>c8xu
z1GxqDozA<sa3}A}o(rKu_;A)ra?h$ZSY0Mndg-_^zw1LCPo6OD{H6SY<E1v_ndkTG
z4RT{<QqJjHGa`6T#N)Pfm^KVcv+f`N&VwS`=ps(+5ySS?he;G`Z4fwLDtGS-FM8W<
za_Q|B$Cr<N9(4<A!(i88&9+uP{1LC`_%BKl`TvvjTV2osyP?vq-aq_!+Hpy%Mp7EZ
zm2^M)^=ZM316$o65kU;!lJ9eYT?YTFDlZZJp#^<keUGiV2;rM85#~=AWl=rdI$yC%
z3o^@c4ZlAS#+fVLqJbQ8s9REPR{lo|^6F2_j4_Gg%0A`11W9=m6fc?H#H$UDZF4E7
zBg8P*NWE!~u>!`rv~)$<XhTbP`Wr(=34HM9j7EZ|A{LCwrnz6$1|P=zdt$OBaqHyO
zX5&jrm?)R_;O~Go9KSfU<*K4I`uM*&TUw}$Qs4P2Qg-S9hpXiI3k)*Idt_`b_`3>9
z^{M$fwCe!Fu%lz+hzu&`Rym4Hs^X8#;G(IMy1*_Hf8kl9EXFTB+qr*P4YNA>%a;}P
z;5B-t{(dco*@x53m8U2;5-7OKb6O9gx^*})PacP&{N-{!s^c-Snz4i5^<gtZWZPtd
z0&)arwT7M1Ks6(=dr7qha6+W$<*PtN?38BRWwfk;d)Jn(hcp_3p>%laqNNhnop*65
zverZ$(TjBVMvdT5!di+Xvof+9taqJp(!^XV)i)^|Ca^Bj{Wj=@GOEf5Cp{3-L?xrd
zTVHfdp-@%)6xC4$%M<^C?JW%~&exNf^e_XZgDn^8->cwTw+|=SKC9!~OlHUBv*vIn
zp_WrkL=~%MH}_?|q@aP)3z3p51klZS*9_XJV%hkV^4I}2WPIl%xncqEi&iZBvXd%?
zpB6eY(V&8b7H4Rcivc7l4MdfOD(V)<KRU*tj5eW;3^JS+V9@YHKcrs;QzTzbZdO!8
zBdrdL?%ft}{@Hlt#BmioyX?-Msw$7VcDh_j*DPQpwcg@xt1>G8h~*@eWbtx+VPxhL
z3pkVhT~AU>83#kgiXzpdagKduwyfL&<WJwM8M9Er<Se^cgBWp)sbaKFEwO;z`}DFE
zofOeoXdwCVxG;uiscl=mZ2|A}e){foP{3#DfBNY%1u$pI(t<X~0zy7<W^owFV-oEz
zgUNfmxa0YF;*^O6>|;?${3I!d|86pV^Q7m-bmMQgWmf=>7jB_@L@SH=XV&H<&a>n5
zEJC~O89+$!hraDY(s<>^f7&TU%*Yd6TPk@7fP<3kb}dH=zXer)J{-@0PC9DlpLqbP
zBhSM~oCMO1D5vN$(4p}st@F(x1gr(9G3&>P;q0$a6?bkLv=5U^kE<~U1CJTI^7|q<
z=J0RK)pV6q=r3n@&u<PP!v+=c-9l)0)Z=TX$v^U#{y|$AA2U$ib)x6Bu^`qe2G!Eg
zE|V72zjVJ!O<{=p?cb;hek^&B!0_Vu5*bxgV=>HN3Lnm^u332Sq5hszcIAOf<Sa$|
z^?<tx1XB6dTBUgLrkK&nkKrZKtv$=zsni%aw!%aj6A$Kn&7TmdT_)dITD*$nGKLtv
z?n76(xbfl{3g6B3f22#&G}psGBgnhF>iHvp3+<V&raMNjl7??Au8w~<gu(+!vxQ3>
z*er8DgVk!C6ma}~=ZJ|Rm^@!-&O~<1Wc5uwcb5j4*Dus+<{N-X1ne$&!-mrfuOELX
zqs0@dtUmT42H=sM{IYk76`SQFnlJRxp*VJItxnK~k)}71k-J#Y$Y18v3q=NekU1|<
zz@iUh_ly}vhFCB#{Qf5KXhtl&l9s}BSr3lUhS7g{$bzdCT%FuAO!(vVC5uT`J(#u)
zE|<Q+f<--|?vZC%@c8$H-62W3pi`h~r;x*fMkn$c-iooIpSN6hrGzeQdb4ZrSO*J!
z$;sUJu#Fvm1*Btlkq%t<y`$V?#EM*h9$9QI=0ty*(q9}lI<PqI^!M2tR*bL;F6PPK
zgj7{i$FLr4xb>@8KiH2ABMzF*wf1l$db($MZ}?Lw`)7$W`s_G&JkVuj!zav@MW5qS
z)&_T%L`yeS4on#4hJV_8cuDES_JL+CxEksp$z{cfk9%XneZu+iIV)AhEKUm!ho;|o
z8_k6;_Y|$xbqJt1%ZU%EmRi6f-P^HucoRmnG01*!-q5K5OPLD{THwg7_cW@K8w-b3
zf3^(>WB2Z=2iXl&n7p2my!;;z&cF9E3A`zaX@#}D#W_?crnC>V#PZ@NZc66Iz2d0)
zXieqXIVuG2ra$}rIv>Wg3qI(xmPB^1>pZHyREXpG+gJLSA5XfLXO}2QqiEFNgL@m?
zeZwhRN~>1@yLu8&8X3wU+fxTN>Yj~wSB8Jn8bTP@G{E!4T^8AX2Wn^@p@POChC8SK
z6UNw&gK?kY<*+NS=$~X96?#$vS{VdHvEX)-2HQt@3>EYY%`B&a+$pEY^g=PTGfB#>
z+oXt-vx|#fD^z&#s^#G4eG<61{J8s)mlEa_XvFKdXo0w^X77C^Dg4xM`bSf_GF}c#
zb?d0sg204FIyM)j(bIY0-ew+EWZgfY!@hMxzp}QtT#Jyw;Nu-RI}WMgsoTMG4u7=a
z+xxtw<w#ll<{BTST13J9v*Tvpp6I||Tm5CXOLADTs6*EGt7A(FHGEsFE|}{Htu@||
z$HAog-xyXku;S}3{)TWpNE5siH=3q^J=;_9?jKF`p$<9)UDJo!@HEGeEJf@{FB{$K
zM#Xcw#>T`81F+O{pUS(VgjF8D{qCnz@!PQ2=<K{9>~53x7mZiOM*9zR?iEzjo$~+h
zm#r~q9F<RB@>0S2ZKeJ{o>I|xNpGm@o(b&!=n$hXt%}{@HUep9spuKW{5X)#3|y@u
z6TVcb;yLFZFH(i5$RILU@OQ5{r2H(85!F*eS$7Hd7*0*xcjlClY5@WNp1(HLjaEa`
z8rOk?De8zLu__IL0J*`%5}WU;A@>30!iah`w2_txDqRGqdArSWAYKjkyp{D&eW!w3
zB#tN_3bcT_d<J?GD>aOed|%KUtAtU7UPs64Ex<ST=qugNs<`M~;1;2#fP>o<-+J*{
z!um+AXP~?)s`&Mn+<7mHZ_4t@`OPiC;Gu~U_f8c&)%Zj+!%G^Uy?Zwk=41&Y|5;p$
z+pCNnlv))wia0WsCtu`nu!Lwut6uHRN;p~M+%M84gnmcNHTbEPFn#*b!kmaA3hq~_
zk{I8(uZ@=RUUZgFO<T96>*vP&v7fk7>%)x$@6!p^4;G-%85{dKSq@bc_wR7dV8b3M
z?>fbB3vg@AVOFt|#l&RmN_JO9Y^pP-f1+dolxCaIvNdU3VX=L@GDU-Vkx_4nF93Bb
z{3CDANa3~Uc1P}tWzyeAj$Lh|o=V%E{JG91fkpdGOn5fUll4tkGMza9q!NN@>?%a@
zjb&v~QRNgF=Xp5zq%#4&rvy6c;)StXMlkrT%s5Gtd5cN#nmODU<dO}E62!{#&-*GH
zhRDL>Hix%-G=s|}p#^(0_z|vbi^`@9kQv^a>Kqu&z~0S?4C&>?%MveX2WR@o_)pKd
z7i>+T((S^F<_#`tym;`0X>T7%KWr%9e$50fhV}Pme%ypf%X;jr*iV);GWA)u8AIah
z>Tn-(PMq8qK{Y=xNDluBI^eBn3_H#)Th^{^)N5WKW;}hEG^*sUv^i@8Qc0})co|ty
zsZ6&m*=dZN$YHA+-O!!la9$3>t;~3$ugAgPZ-Tr$Ij{$)hT!e~{t9OkBYp~)Q>;Eb
zMe6QTcGSCR04tWW9Y=05V2;Px!~CW*q{W)KQt6^TaQj_~u)0i-apz*~&QRt^lZEE1
z**^LZ`}LnyO(7lf*m*6;>Hj5rkN&D1|E>pof^U6%=r;5|f0O8d>mnJz_h>NMRu6)*
zi=TEz)8cHJ%lYo4W%6ED(zac1biviWhS^bt7Bzm~PS`uRLOM%uI=UI_!sWv^DwY1y
z;H{ve@9*wfC$Bu&f8cVZ4lsurCR-2DpjeWZ)!u0u6n_+*{mWbjlo+?FwJy-$DV@s4
z6<g@=KV=o6gCDh_ZrFV7*hc<Kul{IeJg3J}t{GE_T^rnS_0NN)Fj};*{`xA)fDvuw
zq!UC2wLqn<B_2m;vF_wnN15+T_#}7LI`FI(e2i>%_Bu_6moHc!J{!k^dlFR$Lw+sL
zn3JY_m7+&^tta2BJlSw1fr&q}lnQDxZkx7`&|`3T1gnb+2VSRr;a%@Sg)#MH-qT+h
zP*%`%pevXQ{~3?Grd!d3ZPh`qWm*}roamh7^W?_Es@fK;u9^_KM(+@{%7km|O7gc;
zdGPA}>o@jRX~29?+UGS}7EDnQ-pw`6iwD<swtdsofK&Z6-*%O;qVctLYMMJgHdcIU
z^LeTcMt^^Yo!-ojj~8Dm9vT!tC$lGJR%Yt3vt0e$4LVLN>W?VSN)*EFTf5#hbx`1J
zL{Ki{2p1mAIH!2jQv~fkO)*u(Q^4`0gSbv4H-_+c={0N>Lt>6#>~^5QmhjPcns<4S
zIAPJ4=_7$ck0fRy<tT8joY~W@ofqSN=r|n6mcsF%Uoz@^6yOUQ9%EDI$NL74xl`z5
zP&ru1w^xD!Z|#oM+}iN3Rcdx8wYSKkM$7?*C0hy@ZDaearY3|M=JETR@5|xIGA<V4
zCIxO)%#BsI3ZwaBt?R`+3TSnb)_9y=9gI6}@8ir7MIFc8GmxZ+z85x~ypydC&lh<M
zh%4ea+r7JjM_L(OU57lZj%fgGKxX@Dk|ZuXym9kNr3$JXaG>9GTyw(&w)!M_NaM29
z!KY;&8+ZLo319j~9~nxVylcW`@P%>SHQH4QrmFCb?B>&gsHm~1={#8^L}<lCHaO*d
z>pRguGg>h6;*-UbE;)4hLUG^AMa6*N6Y^|-wV_!+I=5Uz0exGG@4CLD;xFy-*s~k{
z%2bU(Zp2j)Q+ED)OLssE9S@g$AM(?Kfa{a@*prp8CC!go@=FWr^ImlXwCY2BPZjG-
zwKDFzf7@}dkv6)XYgFFiZ3sd)9k+%Lsi1tn?Hk!c+GuDaWtzlf4Eq9)SAF=Siq&hJ
zPbWOIQBUsPUEWtFAiMvYU0Ays9(!onL>1OXU!#VqBd5*azWx>wt=kmbE$Yfyd`k<T
za<ugBS0TVAUuI-YQ60sWUtglMQStJ4n!)FT0LcM)sjHFdc!m1XwXi}H{f;@Oo5))L
zE#s(3f2unEUW?(Z->Z&OSNCtu-_Wln<M;kiLF(97yFwTLSQWi_RLd&eEP+OAM?Wu{
zIu2D@hTMIlgk;M<#<XfnNUTd?4ECYm;78BhS4-saUI3A*$7KcN*{;O#4V~5dq^K>Q
zEraxjyqtXXtU&6A`Om*cRnhm+nWj)X2@L!rOL=Ev1@w{5&z`HOVEQ_<NMxQ6$}Xu5
zZ<DtI6X62Iz12z>NeMBUIme4nj3qYl%vyp@)dTyRHXHL)LUTT<ZiA0(g@TixSi;!E
zB2(WB`HelflC=7n9%-!)gq?A*g!DHV^JX$~7%0tzdpVcM7!7xJ*%=E+Jzupi|C$Vr
z&r9w+NluXa!-5k}$6A1><c#aWx)h%Ae&ubN*hZ2*yK`R&SU^C$_M3aO5-9$kaii5h
z3BjW}M3;IGU}7MYmO)7r70;zjG^hU{-iLZoIWz&-<R452h6o|2Q(xHmfB|CutHNQW
zFanyC&vpyW@gv>n+#%D{QDW_n(su9L=0Fs82e@tUp{$oyK<3-u#2!iRB*7{($Xp8;
zW4^$R8vW;*{C7?g^%t$4FpQW&?%2>`xB@3Wl6%U}o;OK+RZnh;6)^?**LS_la#`_F
zN!o?8tdqneM&7f<J51m^=pEF$z=T0GpAP)1{7qPLS$Fv+8iV4uQYV8ldJH;0SD-aD
zM!aWY+j_Fa2=>LBdtKG1#XYJrpM#r5h-kvgC{fx7%5sL1Wti5;>pDTna<M~1+t)bJ
z;2=Y&ZuMLdR$3;<GP)c%WCsYNn>E^BJ{o|kbD7Y?_kT%d!4nNBmAyp9pCWp9IRi)!
zbX)uSb(V}^*S_)YRX357-KO~cqCR{T^VqKs)1>GXhP!EM9Yo8@N1lHpdf>74u-b`#
zl3ZOEtGd|OLQts;su|9D@ap%E`tZ$T<eR7m?*_^m2?sn7bP;ty<jhd|TjpW1CVr8%
zw&XLx@^;6{MQvU9ekao?%X)w;rytwgcD9;$WWVTqI$sA`Jx`<VpI*}VoYmF-s8_`B
zif5y?tPc3~O(q?i`$am+E}WL^D<saf=JMXj(uTy8qMc>WI!Wuw5BAZw<B5n)rDHdw
zwc%5{5C0kF4idMfRG!<GMHceMN6$Xcf~QY^b>HY}BiV&Gu-Lqmyw>u$^9e-@d_D5{
zj1^nS+;e;W3aGs%r7UV5-+M`g?q{L?!%fZPH~AeD>d$wi+#a@bRW?+31BNxsKby$i
zmji~Bqdt-;TbU>gg___K?b!80tBKs+d&p=TcRd+PI>qs~YQPBf{Xz3@-^mufuO~~k
zeIq?WYi=npXh3rQyxNVY-^rLH-UspN-^pDfeCZtq>R=thb?|K6cM^_nx1pJBCi#zT
z4&e%-fFNU%N}qTW*+AQI$$x(vX`iu{mHAW+<POi+<NYR*Q@Hi7=I{@)E3TN|cUBd|
ze?Hgc@@yvGml|#Tnbb)_x1GmkQ&lKndhn}wa|`+M_OW#J!@o#jspM<2S5)8?gLbN)
zPb+zRk7#q6K`(iNJ;JA>QyJEH+mBWkw~<RfyY6ZH=pzF~Qe1ZGD#L{5yn=|<4^n<e
z-tcqA0LlNRpzLI#672DiO$s0CAQwYMC|Z|?$lv7K4!LPX*lN(aQq|N+hOlRAMP!bU
zlS>ruZMzlWRYzpYiIr}0FN4)>t-&!;CW=0whg5)3243ltr9I?c`AZBt4o;Av#Q4G|
zbp?3PDB>c{+DEbtI8vW+Pmy~KK0B>t$%8?sx}55ze$t~<Afq8^npB@2zj;bf9^RLq
zctxu^NOJ8z)!=V5OMVgN-=Ul&2RiFi!Ki;j<QI=_k1qCk^46x%{i57*pm1zhc5QWp
z+<rYYd4h9+)XZzI-;pc}@y349hxEtE<>btqUh5??cCQ+Lm#8fC%y2YlKbj!RN^TWi
zd-0Dv*rcD_lq&<yl2n^&%_(wwYs$3eku{Pz<d%!8feh5LeQmy5G))@qc)Q=Qlm@?F
zFR@Lnmxis|O1(l|W=Y3%^MVFfI*h2X>236thT<5ZlX1%PWO9ar$Ojb$%=B*zbz_o-
z291p63zP+t>)Nh?ZVD4loZ5Fx(Nzjw$xG>``7V)RxiodIzAV_@rpColBni*2y7OM?
z{6{7WMsWWA$%ghbwRDBNl2F^;v-%`ujhqh3qy9?f#QR5O>~mu!ATKSmX046}{k*wt
z&)ah&J%5GDBD(}62RFO%oub1JlATt&XL)chGrOtSLvcvH|Io2!3j^-I;Jfc&Eg!zD
zefV^vQ^0ZNk=P@rjsHC}+1>d?0FAv$+zO?{;h9@Q__OOQcyZwTv>b~tV%q}MhgBSY
z-F37#WMW5Aip%47;iAZLNB3j3kT`sz-=a81a^n900096043~F2)!!e-?L988y{>h+
z<~6R(=XH%p5vj<CkRlpH-$bQ^(jsX}Dv1WskcJN`+3|~nP>}|bO{Jed&v=~2IgiJA
zKcDZHTzWC#Y@kdsBBJ`!yp(X0_Ik&rU<&#5Wn#?{3XPOn;1qxHTnU~L`}L0TOOn?O
zbc8P4Q6pzB_<0*dDC5+To%T6hQsic-T*bug8sv600Y9$*703lXdv~K#nzY<Ot8?<v
zBA+*K*!-_R6+3K;R37lik+x)+C}Wd0nfqyx-C9h;|3n810yZg-`m_BP70)q9F;g2e
z?kY7*#FrT7E+~<iQO&13NA*ajJw5CJc@31uzh0aAQk6Vd&#8JN$dIf_JUG_&N)sGz
z<3mFsYUG736Y+#tCh1U?bD6K5jvZd`y7EVzytd_7bios2GL4b4=A#P(+BW{&xpy?l
z#xd)Y@*Jk5`%r0<w3$Ax^co-fxsy(ow5&|wH#Z{>WmE?FUok>j;aq=(qYk+tbYAew
zDi-<DWw3Q^y)m--6{X%P=#o{*p07{anUe#;FB6XPnxXQPG|$BmJ#w31N5|I@bJC*B
zX;r}ibLfmQGP`dXkay+$pLDxfkmYBePG}liLGqBgk@#{Wa=C~Ur?ayKd3oN;#*^O`
znsamHf%QysYv3b8r)G0fO2Tgs_ozL#HoJBW|6r1;&yD(f-m}P~DT}`N4D9wv>ND^*
zCZmJ=X2T=R$PGu2!q(aWP9~-o{-zm|{adb0>7|>Haw3U$FK%_j=0!0l>S1FtX&_#9
z?=mJC*8AcDBAoDcM80Ce#h5&#e3654P>&1}W;)%}aYn16h7h}rNq#U}A?#;NCu5|x
z8ZN)?j4%bBr%jqnvh(~E|D%00^3IU{uxzh0E~!tj*;$69ZcF)3=M%DI)xDp0<vN^k
z-{4xt`Q!TJ*UpD4cJ2@%KWEmg(mm&lm4Ruw0;_b%hPQH3|0ZXv0?RrrHZz^U<2oD~
z_g$MDQ8heERe3{XZqY7HDRRQOyy-u+F<K;xG%m>ayFje;%2|6r%n80hg%6+1sgsg&
zZE_*!`0z$kV14ZtN2F?--3mTRBk$j#(fm({q9|uo%F`+b)ErEqMs89fBi2_=-(DvH
z8LfVy_i_$6_u5l3ds3DZ{gVAsUqcGpvcg&_ce5dAfBm6QgB0m+>#<PkO@%<c>Cmx0
z;Jebca^XI4vh*+i^$Wt%7=NHm3Gx6=G#(n~Xb>QWZl%}cM@WNX4PV;i2?BQOJ}XH1
zaFH#?uDhH~lZM2pvPzfJ_Hb=a8{_1duiBv6aXCLh8bh_G4wv4v!{!53@@2n9s-8_u
zzIyB}johrq%I}+PaZdm4gsS-4s$GWz{<3LH`zgx{*Kyh+?Dwqq<NJ+-?Zra|m%mf-
zG4_3OJ=+Ep;uu<$zYt$S*PB;YQjzfezw_hAtwFZ9M#=R3BJOs$85QMFaWQ*FynN6K
zTl;hCi~h_KzgrY!>km>f$A~(o;cNvtXK|@z2mcZ|J)8x>OY?hM_bu$dYl%2(d+)mr
zoDgez#{c3h6&xZj;|*z+_!DEFnsl5S8^3<3IP-#v$@omO%JUXDbF<rG{ViUI37$MS
zB`6J}sF?Ux1q%$8eMoRE;73{;<8s~>X=KEY@L66n$J~bx-%cMA1nUEtA^A}n&1zDL
zT_)zZ;zZ?cb{7U`JICz#SQ!Xh^?Y@!o`szFGpsHlQGDFi_9TQRi)@!Fo|l_hNM1a#
zc8(Oo=bW&CL&LIg6&m+;6J?<{LCJE|nu70R2HHIJa(GeIQ6E=nh6~YyXFO#k;8f;Q
z((^(de068Cv$vaJb3?$P*;xs+l~_*y>Q=yw?sE-%24-km<sLiRCyCC$eVgQjl~BcH
zxt*9a1zq^Dok5EfLL8KGIoB%V{^99kFKSG2aqbl_QAb5S^f$07RPe%~mTh#&6#a8X
z*Df_m!|E{SB@P7|b{^x));nN|0oP9<`+8;YUM+gO>@yAfBMSR>Z#RXwzRK*!1zEKC
zSl>8Mp@y$%S^1wMO(A(SF7B|lJQgPX-zJ<@$2orP4eqg~h)j)j8wgQ=^_Gv#;rlg^
z?-1>scf=G8_WJS)cNB5o<O-`~n<naJ+^;s=HAU9Gr&<4al`+$^@8p_LEyy0(n?Zgy
zg`>XC&gm!>9ID_{>GPxGrgzJx2!<Ja=3Pg=4XA<=md9MVS{wVreodV_V1}A>{Y&bl
zG^DRN94Wd?2Lc(jpZ<L_!@|FH6H&X=@MCw_#GEk$dxG3t6~bAtSJ<!q!$uvA@$?U?
zBy<scQTRW_X%^OPAX&XU8u$|D9QnFW7w)4Tx$kn!@ph`#O`}-@Yd)miFUZ!z_buxk
zZo66F8#_kHB})@o9-nmk^!1TsHy;)uZV7vt6yA6*E%;y6@Lip+k2@820_{Fqf~RS+
z;3PjCmojSPsU!OEpyX}2QELTP-$E7EJvu5kt`C07Z-BLKtEQsvSVO$&M(lu_HhP<<
zgd2bABQ4-(bI~Om7(72B$la!mHP-Y;f=lNob*9|yK4y!<ve={x9WbPSHVn(_Ly~Zd
z=i6h48-1J+j59i5B~)H};irc%hy2sy{`NSVGP}XCSqJ|$8Kx<P>q2s5;=M1EfRW?Q
zO>4jC;Hj;#%1JN~z2)9(hhGHVF(<bz^y#34-&?bCTpQ5^6^~Thfjkp8`i+M==)WCs
z;_E&-x}m4oej51i{Oa=ZXdP7RdS_pn(!?@R&2w8CfxqD|kA(B;V4<QhgCjr#dd&xK
zC{F@|30@<;`?X<|x<<ug$=`Zg4?ce`#KuHIZpd^$9jkVmuea5q!Rx_`^lOrAi1Ti#
zVKC^>Q1Ff7Ba~qllDqbjFdI(keZiqYT9CONZoBBKfO)B~Ywu@(o5e~IO{to=s;i<k
zStJXsZ;gC!Isk^2iQ(028kp`bK5Jkt4O7wT$BM;38~>Mb;YxMP84T>I6I-e?F}tJT
zalqd9XI{)StAV&({Cl1ufmPB>(bZOfoI&J|Kc8s$)8Nh{FDnk^cUiQSF#>*f3S;x<
zRADqY-gP5H1T`Fwzfwa8P*0zm+GM4It^fR6LX3o#9Q$l;w8b9&vh?N;$CNNO;k!WF
zC4i&lJ9fug*u&sy^~#DF1w?-pd~}Y^kNWUTx42w8oSM%_XxJkU`#t&fR9ime9<EE=
z$YqDfyIO|oa&mBfV{zec5ibIEunf0uw#7074?*Ss$v|k^@iZcQX+CCe@!@70D0@lx
zB;Q)%X8S;T=4M{lw@F^!$+AIaKp$~7p9)jI4W9W0yi5Nq`{}DZYw(oHGT0BKAnM@e
zp)1b^mu*ooe?+Vy8}cwl@{1(I=Ho8?dBTUzZ2Mh1ldNDvc_0~PDvAA8KP~3c`JtQ<
zp%wGX5{t9?jp3IhKzlH1#E~d~*w&3-?IJAUl;rrugeHN4J;wLGW(vZDr*@C<kOfjt
z@uhS;qhQe}T{Gmh5F&aVl0-IHU`6@5Oa8kkSY3GQ?<Zvuv=`)r?f7Pn;msz4-3}DE
zg))3HGevQdwa^hBV~!zB^``%HDA=G6aRUu;9P{lhSK}~8l6X(cc1;QbM7lzfA}H{U
zUH+*vi-q4l9Zpi_lqF9N{dngo0rin<AFFj)5PN-jq%D8~NBZG>BUeeBaftNNdToZM
z%qdTca}@MG|8>UHQwrHl-VrOen&F}QGlP*~3htIa^eTy<Lf>RK<`{K}R|Q@p4^~K^
zr})3@<TKJ(F7j~svKOW}9b&UAu2uqy1=a;wZ)Kp85ivNNV2a>mW2)vVNjP#Vbk%Fi
zp->@taMaQi<hoGj_AyDQUe*}mJSC67qAIPSMH5Wap8A!4RSM5jRj>UPRYcq09f)c+
z!8Xr7+iD`IXkXV==5bXC@1JCUH!Co~Du0iakuK86?)!J$$6W>M_@T&~W&*YSv3zeV
zWia|aG&_@@hN|YC*N<XNFc2ZIQjL%W{Y=u&;z=69b}NY4MVX-C3dg1Y{N%v+Ugebj
zT@9<9a$?T!Gyz-AO|<Q(JZ_oQ5L<qz<J9Xw?!gojjLg!c=2{i-Io8IVKCOXhmQkle
zp$W$Pd1y%tC1fS0<!SS2!9i+&^3Zz|Ts3;8o|mJHycN`77o{b>IwbP_RW`*)5g(_e
zj4EUVA|-3hwDH)=x1e;FDQaK8GWYhTK_Mvbw$4f&7>p?^i}#!2;L*j99(6Sc4Am#O
zZeU>FwJ$Tj1I>`rzKeI+oEkPgF27)~#7XhI#R|CzGn~=eWdE{F9kWxOs<aJyaC^vd
zD89(TsYuG4`W+24``Z1xPv|2eAVy`cpE=qUzFR&?)5Pb;;-){j4Pa#_8urw{0tZ%-
z>U%e6;mP^ar{k^}z<Xj_#;}wn?*2H&{$fDK9sfts{W6B2%w4>EUC0WQgqf!r6LbtZ
zb>zwV7$SIs#<vPFYe;4f-lZ05!}Uc%Uwfb-E)QBg<5IH0h(axPx$0oJkH1xdZV2v+
zJBm{cY(el3*>JWm@mYR0_1bL%Jdb5;&a|_GQC~q)3BkZc@9-1n$MtdF$Sdoovpu*!
zwQcM>&cI;AaQmf6JviU|y~_#&ejWb&^W<X&1b1Col&aLl8Lx^;87bhC%ei|ONd^*D
z?->(c!N5p*r;orMfd1#_yLb5vR9lz2ER<+NCE#(w;Z|Vv<CxE;feg69XPNMn7Owad
zr#z;zvG>)J&DE1Sa6A|^l&ztOds{X(9B^S{tKQM{qRl#37oxr1a)ml-1V!RwHnWjn
zps!4MstqqPv{QLE4O~+l=H0v4=o3~uIXp$jl5w4nhAHDlonFSZ9c-Ld*43(%q2u4{
z!(1F93iu)*?Qb2x27gA2%{ICg1XhmkBPL~FUcBx4Caa~s-7<YZh@pvzKJwWeO)8d)
z)>G7$Jf#uzJ}Fs41GoHK>N9UhAljfNbI%)qkbA&$KtUaBN8X<^Gh(n)lpoxF0(hg`
zf81Si$s?s}pOrcb<4otNxKGZ&Ty(xznb=Z4b8@o4&Qt*Ok5cV_#|ea`PFuHWsUULB
z`oQ!9UdR??3&yP?FgZldupE^@bN?IMQ_YRWfsB(^itJ%Nn!U1qj{^3z9-qCpoC~#o
zpRY^hv`1cat?r{HIfT}W%=ZwS@Y~Yj_{!G~yHDpASlP?s?5UZT{AW3^Yx0?1VW};&
zZ&p5i*eZ>;-#RxGJ8;0o@ZncYAzQd!-6lVfOhtTFSFEQ62XaaxbQd?-V7Bho>-IHL
z82LknHAiwF|CE+a^$Tl+%2y||miQ=>-Y~Z6EeDkHGO9c2*7()III_lH0-x`*4uwW>
zLbt}}OU5xP^zoEkvp!D2^r`^EL47W)Q=MKVKVyl=2kjNdAB!Wg(df-L3OBgMA3rDx
zwFH)@8Sl#!LkDN7=UplfS~X9UZ|JZ9&t$H3Rh}q}C2k(x$>N1dgk#>C6&6@HW186d
zQ3NN9vMK_0@}Y>QC$-?EIbxd?`CZqF;8S(H_~tr(I6ZPbw$;fTc4Z=(BeTNzCN))P
zV<Cw6xAToPbu5Hzq&q#R6GjO`sa~yG2%fr~lMSm_h>nxK(NiM~+HlW`;Y}iVGw)k;
zv)2r1sdQHFurRI&_S2f_Vqovpc$d1(4B2~k$|SNxVEHJftCEX?5US?%Sza^L`5HJk
z6pKK4=d1PKIVE6_E9xhE)f7cfG&59PL}AzYVo_XD68<+>`EE|8_+EckR9Q$2O7}>g
zU^6Lvde*3aXv75e$H}asNipo8P({?2c>m3Md%fyK6ZCodyqe*pz;ga>O~HL>MDEdw
zJK<@93fF%VH*zUx`!XqICoPL0A;Q%|)C7(8M=MO+C2(!xy&&_r9ITh`O8C`gj0C@$
zutka_`W0sjN|hDxYjplU)jVU|o;Nf)@J$kuDpFmIb&BxcCh$8a&KNF2;u_ZPq|hDz
z+R5jbGI|SN&Ka#U#=!3I^0IC!3f8HzdbX-!^;Y$O4{T#F*NENUIwg%qjA<U*avHK{
z(@pPM8RG(B8u?CB7Iy=?JU%~DL;hfsLW{jIG6xbju85Muha)pt>pRqOAo<Mhl-0&K
zz}Q<p-XM=uCr4J%oCbmp&I+5v8$*6T;J<rN1Xsny7T=}1kA0cxyz-VYn(LT)8qG?u
zU7<GU89;}2sYdqNNn<4Ie)<!=T?NaF)@>xuYD4^s*59^OOJ1WX<;h9W@T~jnPR<S;
zs3h|$Sk#!nOXBkLvRNAH-`mrZ#dUE~XYzUH3R9>Bekf5HRKqb=(uzB5J!thEdtN(g
ziW|?r|97ZU9bN`?Z6jg&c=)2bxb&tOsGOI_)0#B!oo}tu&7B5lnDN)DPh^48y=B3r
zRudHN6Ed5F48iB$vnnmZ9Nq!De|kL9f|2mgHX$t|Y&ytglOAn>BiE`k&tIqG2=`Gl
z?Z-y=_0slsXsRV<Hg5crpQ??XK(l3pAQQDG3Blu~R`}$zwPv@k4sts~Z9S+=IQ|rJ
zbsDzD6=Q|+Au0p=OE#CJO&P)6M|UPy(-zE63%d#)GH^G$DSYovBPh#NIN#i8hgVr~
zA$gX%$PGI?nU!mZw^GA)r8)L^^cJ%wIl36DT*vlEFhG3qzefd6h^73OC~&Y*7as0D
z%AF$m$cw#leMJ}`X?B0}qYhmNCmRTj1}?4N)96#`0gf29jiG#L%=#LYvPTD1>QzB3
zf{n%e|K&}G>S92BG5t?89nW7f3q4M-5lix&RR6|U>T@#-G*@WiROd_trH+knUVFAB
zIx}#qO-EEoO&yV%a$l6bv2oVpg8pox4%qJ%%VHK)5p<!-f_IvY+nxs7)3ddaHQ~d<
z`l5($%m)KHBW!pJwkq~!(joJ>*Lzf44#D2bi&EdPadTi3lY6fg`YWcMCmf?faZYbn
z>h-02?mO6{xlR+J3G@=~%@PPuN{FhBWJ9dlbd4oL12yz7#5p%n1fR^?-K)h$M?pzf
z<GdQG6+Usdo)W<S7{?1dx_}$|UN3Yv(NK|CSz&jP2ku=$a{eiR<MryQE$*r~5mkAp
zbpt1w3R`~9>H$&lat1xp%HWf!)^<GqmvCzu?LCuEpnt$9{N<bizP_z{x2$lUsMv3(
zw)U$%xWpx=lNRLgk`{TYt9FLS)=GH4+|VA%MiO<hDzeDj8{%-Vaf;Y8*kdgbXNR6w
z&eLg|q|vxc)cne&NrHP|Qm*frEnYgkb!u&sLTU|jVV&G0aVd(+=D46OD*7kwG(#o9
za6Hma)0iY$v(!W?d~M*_(|=J>UIJI-h0}!#CJFQNJ-sh(S)*&r&-&t!IGS@l<UKhu
zMIbqA`xKWodT$y&8v7uMb0MSb<>WL`ck^<8)CMagKFB$1Bqsu0F{OvxHnT*FWWJWe
zb4#RVP%0^zLWnzUSE&7SjwndVKb@$))Q?%2b*eiHBFMe^<H@%RL<~n$k#dFwK5SW5
zKFt)s^N$Lq;X{9jd#yk7H0I1f&5lkr@#4o-+Ig8S<$r|urI6{2rFvwLWdWsE`LMM$
z|H0R19B}-hzH)6p3-t8Uv4_<8u&g?a8T5}6-IJzu2iCK&QK@O2KnpL#N}r_^dvn9~
zLY$mbml@oDY)JcYl^0~?Q`_<<Ja|lD2TS{#;a=90^@e%8@OJpIzsHgfx8D7mJM+mD
z8k=168P&Wv6c`aU*2IsE?WGPy+e~5b@O9w{em;ctd-F>s2qJoQK~m&D6Wm#fIpIrQ
zl)tcV{E34wK5K0z|74q>nnxu{a*+>%#T?d!3{mt5hf5waGQs4nQ-RCw@Pnd7d}}lo
z$9s>sa*tMHObOzN;C=yUUOyVGS3<$wSnji_yNnSSrk7L}D+nI0!3NLw66iA&ls}}p
z#Pi=b-+s&xf=<8O6{@@xRvo|f>*^aORs<Rh?|&_f_M9yf>>X4z|6^=jm(IlfbIDB)
zbw#20Rw1QmKpN>XSv_hlOgyM5Iz3V@hU^<+*78xZ(3IU8d_|OrV_9N<KbTNJ^J<#*
zq{<_4M(393693Lm>?@yM%A1ZRLz+|F3J|%GKH(l=grG{Ym8m5Os^T%d-PKA6YG*GW
zGBCne{mz#ekV1RbzK8tvDj1q=|NK|L2;n)S%G|rCxMx2bXR(KdeB!IF*k409N|x)U
zlhUx=m&lsAtcK<t4;ddsjKKUM_GyAH3%z}<87WJi@_Wl_PO(|y=;nvM<Arh%`W76+
zRMG^sj{RuIF(ViT?O#6XsDKxhqPh2WY9ZxvBF}A3CUkGhG5#zlV)5!42Jc%s{L5F1
z%dKX@#(aDD!zN{@yyH3P3>`e-tsXx5n2E{?mnU)+syN?P5_h1C0reDZOKEFk@XX|G
zzw?0xt+F7;<63(781k~Gw8I$nXL%YwepACXF-P)imOc(0b^WDs!USfVl%!{i>PXQV
znY}n+0LmvTy{BQONV>=tERoklq`>}A^QHIj-R|{W;b(@|1trud3oQivDovhXGVy!e
z)8mh}v5<Uc&FE)uI=b~)n|<#vv7_~cPumr99L>9xV-u;3h+V7x#ETfC$Z3jSbj$)C
zKG^<lmkuf%vSfd`7(@KB%V)RMR-mFKB0idd9V7d0zFBV!)0ND$`*qf+m}r^Y=&lR%
z$_PziJ7erK`^x!rnJtQ67Q8AK)x+rDT@NW^Oq@;Y<#&B$hn)_aI7$ok@cj{A&6=%D
zY<wlVjcQAvm8l3rX??^bDtE_jHA15N4U20Y06Xj469F%MJp1<WaZbJgIA=N~&in)}
zZy6>I`{*wPqUH3^!+N+fn=HkZ$i}j+!?ne9eOwUn;(4Uaz@|ld!01mlXhjd!?|!Za
zDgQ2?7nkT@Dwj28xH=$cKeyx<O%JYuW8dQzG_X5eIc-;p12XL{|C{&Hh1=E-|J_-q
z2EOho$>M7ch$$=<(Dh-!a_xs6>kMU3?%V85EOdZ=Jx7Iyg%0}Eu1$@W%3;^p3W1eb
z4*1d8+sC&+hvwHW`)O8Gctr1bYPs0~lTLf<Tnn|}r|h*+-kbs(+PGa4!vU?uYt5&Y
zX~H(m#`t@vAnujCT2}mlja=$;+xP)>kVj9Q)d=FoEyw(Ct5Vq*GUXpRl%NJm()zC#
zO8yX6uhv%%(b<q0FJ+A?&`=f|<w@N)MXc?hb8FQADd%0Th#Xf2vpV434vrCGIO=~p
z-Ti<OUnNafE=Ab7RJ9HWe<B$7J0E&{BEaase#iZy9RAzexB6{N2eG?h^#vsgfs@JW
zdsG5sFtAOIch8wu1Y?*T$N_uARMpCvxlr+=_v9zV6XnFrm=i}ptQ{1}pUgZ8l*H3e
zFK#}y^Tai64_~=kw#bM#=dR78KzfU}yGKtNQIo_Ds~NUI`E=-JhP)VTtt>azZ@)|o
zht6nUXV`#zCB5&&Qm$JgxGh{}dl@lAORnwOVU4eh{YMu_0hsF=QN*~b35tuTNWe2I
zDAsmYNu=@NSL|m-<HZJIcT9wZjJOqAI)6sXo#uhSfqj?8U$zs~`L|sMH(5gKy|9SR
z02d6yKkyko?IOH2nIpN?7N~1X^IIRmiF3ggzaNS96I{x>gXPsNutc@FK?Vm>^f+Xy
z+CLF*g^vF+NHa&+i^sQjTQ3qq4bfVDmS2eBlp8S*##w0n-d$k4?+*c~Cyf>5--x!L
z62apeSm-^wa9LjVH<6@!d>D?S#M8_Z8E4*@LH0}QF_Fc2VoWb2@O|t!Vb#}?Q@+d$
zeugU>i}mLT&UO8V`@JRz@rv1Ft)wa3l_VDZa_5L!?cupyc2h*3b@PD^dsFP+QNXi&
z#T+r0R&(l%^$bDn3f6f*n!xjswLyr<9O3Zd<nsTP);IJu^ln^c0+#pL3#(Sm5#872
z&4YI>5IvHVyX{NfdF&^Ab$i|%@wLP)|I*_>M3H3KNv=R+9E$w&w1qZLFoWOBd{+HO
z$O>)9A0K6+NI*E1);>@4MyF(IcXGhQs4M5nK_=7+b|^kBTOb00y0!I9xNt>xr-Py*
z6aHUJ=xH^-iP5{F^syV<*jZPd(YMVAO%kh1#JK(vD$C}7pRnMCZ*Wv^Xo(@rm%DX^
z#VitbGs_Nd8s@{p)tbp1a|Y;fleWtd;y`Gw<V%i90h}MwNa9#-fPB`OmgO@Xm^;;d
zQMX(OwOR@tFRtoCC3er-n}0d+dm=;Rd#4C4Z#B`a<JHH{qi&+!>fEpj=FCiCh~umv
z$KTu-J#fjVJ<$v2LC}uk@#pU-Snv0|g!8*D{N8O8Uf;+I$6AF44d#*vEGY<XkJ81v
zi{I28*YM-(fkSq|_oa|#%J)F!4+Ej+Y*Vwi1@Zd+#(8mXY5X4m0RR6C*LOJ8UmOQ;
zduH#Dd98b0_qz7zez-EqC{#!j6_Sb~p%PgsWMxa_7fEGA^gS8LNRkyQLS!a;|NMKN
z=bZC7=XuWOeO|s(5rz0i%D`y4by9VJ1C%9X{`v`tKzin$yFvSuA;#<B9?H-zur*nU
z*WMC^BZJHBLk!9=&wS&>q7V<1AFX%(!6Od&$431FzAC};tY+o%J6>p*#Tvg_N<xU4
zb3;?565Mr;IOD|44-Y@4bZb>eLCtc-z`Hj}V4H3}JR2YY-jBuN9hGFDOyZqZ?an$C
zYo+!9EJE<(mQ}KRj4aHj1T((pR)(2jKby=~!f<Uh`wb(9JiNUev`g!vG9+;Y#x>s(
zh3%ya+YXsHAbtp#R$W$xY9DHr=#|}Yeah&3p}8X5nVfh|d!Yg^PSvU4!X@B*S&r~I
z7G==QWB3@Cj)ymbtmL2A9=Mul>zMFW1*Q(OCC4`qV7N%`VSbD>h$r|nL_8w^ZPiw8
zf<%PTG$ExYEi&NmYNQr_hX@kw?8*G2YVe(y*e@a~2f?>K2|B5efZ<(@%fERN)ZZ*-
zJa9=Kx~#ub%h<?p!lq+<eUCci3qDlyZ^waA;j#a$yU5TG6Jj;#OM$S<`wO2^6rsSe
zE&Xh`Ivln8?h~=70qrN76O$h*f$l-^NBe~+P>|%nm7b{u`saQ=t{7Jaz1*kuEj#lS
zo=K-%@zjCndaXz!6+Be<`uF`!qd>OAO|AfYJrGpZjJjsMa~}EnKR<6%fcV^2QP{=+
zR=rJLvmQ`|HXl#v87T_ry)6m;Xtfu(q}P`VgoqHa`Tol5E9%gTzgKx$8i2z8-n#J#
z5%x|wP0R(5!DAxvtRJTlG<v@4I{23ew%wcSyZ4fy_1IgJ{GUef#o-0(wSPnyW0c^%
zcTW{e-yO6zPc()$dp0Js0wP@P$ve$TQ-RyD=Y8!JXkcodpvccp1Wl~uyxw~S@c!Cp
zuymgWx2vqkS178WMbC15R7DQBn<DG`KhYpCzI+dx00H>oiMqS?NkOByGQH{u4fa>N
zb4^vM0IqT%G5?+@;9}-}sdv#J1pW)3Qdb7wSVE+>Ge6uyOtlSpG-z3D$f=A}gpV9<
zyXOnoVd49PLhdmd*sF%Ri#FpxzGN;gk(&;%L)_xc8^-YWF|}D^TMk%K-VWz9&r+iw
z4J|F)H-@!)_lNgTWTE}{!iA8;daBAhGZO<5V|d~Cp}_B=Gzf32Q!mI2Vs{R$RS!Qh
zf{RkLFY%Wo!KiQi(<iIHnD_7{kpsJpz))<@7dFCf;9bnHtG>2`@gL9bSV;v4Ip^^U
zFCqd=VY)^aey(9Z7_7dQN&@hvQ%j|_1tCPHP~vFsCU$FE_maIC07gK$zZGO|iL$-9
z&j-}gpDIlXw=uC2L2JQdd*M<t&9umn8zc%ZZ8lrdp;h$;m!p1$@cWFqN%1FkaI&wV
z^mx%BWe2Y}R_O*{(dYZ3tBDyX&UNkg57MDSO$7VSCVeo7CbTva7~n>5X=f%I9nz++
znoiu-1DDs=O}Pg*sn!lktUQ+6Sk>v9;j)H$pq_dAZ?xzNRl`HjT-9?6^BT@8-oC91
zGqXkiRnPyU@{)R+>q0g$O9una*PnF2>?K#0eEk%)|3hS<@8b<@eO?uPl+uA>-rHji
z1tV0oZ^oxpy4SHIc&VOlKW*6KS)QLb)kih)Xk+-Iu#QQ~*1QPr(t?CI;adi#t<-0~
zhyzQhYZ&KwUV@j77P!*;G*2z&Q7^l`iaD&khE*I6mvYM1goX6bJhA2)ESZ>7vu}G9
zd%op(oRv!xGWwW!Rx;bMoPBHWq!w4PFZhqS)L;#8Xe2P{&Gll_`&V<KcduccU$>*W
z<|#1vfkjW#d=Lvuo8DD-X$^a%aR2^eFABW5=J=M-K8$rX0dM2V8g^JZ-0<$CIuuOn
zock?3hQ&&D{fmCRjzvtqNpka2hY?3viL(|HnEs=WRT4Y*;1EuUSD7cn(LZr^*N;wP
z*2Ddq6%Cu%Uj@6Kx<E1%v3+&_i~oxqpHsCSliJ3rB}y~oImj>`W2a+SIESTUCh8WB
zbZGME{R)#b63{%}@@uNiW0ezyfviA}`mNIIrAZ|4Y`n=JQ?r0&-xOp^-p7FK9Zrc~
zjZ=e;#tBD3rzK4Ldg#+!PewFPmm^4NCPG03r{p%r3ijY&$9b7jCdBtiQX!dx2y?Tw
zkyz&{X6jS&^Pmh1G8*)cY_U}ZvGuVE_3Cv@Vd3pyZ5b;H=QYvb%-wm<?TrUaK5Sya
z0uP=X^JPajUyj^;vW^GQh(F}b<!$W!g=gf$r#R8XuUiot&Uj$Ta{JF5Pmhvr^|V0{
z7qWa=Tp!=K)7MqUdCGkl5DIUXVExR4Y=-XrVm45L?wIgl$zDd3SyGRiC-9+}eQrEr
zZ<WC#;O42IW6a2D?O~Tz96zcsj&!Kn$;Tv)(cE=9R>U4e*IFekh#V7zcsaf+fp9X3
zYpR6}1#pGwup=Q<5&Gh=OUO<R#$|tN!#L1jmyQp5Ac9(~bGqELm0-`ap7S<?yHFZQ
zsyZ}64B@9n>gcu<VUV@q0+q~z{)^$!ohlMXn~b##H+vP~^tS<4vwmKLbLfwB*_K3|
z@|8vjO^Ps`w=^Z8$B&8@;sThAq>-DlXOTyzA_zWXo{+2%Kz%v_Glpq0h;1|3r({DB
zZi<JoY1#{+mv5wJ+qmUWYCz$xC#Fi^$H`TtC?JB;n==A((&SO`M8ZYM3MI%OSW4bl
z6h-Q+^IN|`0rh|X`YFy%8PKx@n?oDB(WRr4qx~C-=&wTF8E#n>$Xh#g!%#^QrQ8%!
zyVa_Us+mTzamsku)_onsbzKVOhqP&%7UEI<QEA>LZvx0a?X;+0l19El!829yswnBn
zdKcTKDoAbqR~%;~i>M6ZUsMCs(AwE&r(X7`L3Wc(Vppmh3Kd7s$b}>%@Y<hYkbw-7
z<JZq$+m=V{Mn6B4+#@5k;y-Pj`_zHwx`B?Grvj>~ZBW;8R7b1n;n|gC6d0ku^UAYV
z5t&bizQVCm(2R}LSjQnvu+w+xRR?7hd8J%-Et-PbI(cS9MYQ1<TUxVnstVe8al^ZJ
zfPxCfZdaCW>i|<>WXYQWJgQ@%3wE8QAa)!_`eO!t@Y<3HaM~oGwwc(kpQ|Xyy7Jg?
zs(>Nv5=b|Ym{UbJ=9W{~bSX%u!^7&792Lxh#yc#Y6Oq`>Yx3XEsiOs%kvfxD0F9FR
z9(^S>BzWayR-XkK5g)vHaVF3Rv|NsilAP2~+w@^xhfiuqY;R|gp_MVj$dBs??o~q{
zS`VsbCK8Z@xUaD3x-qn`N@nnN5Rs^?a1EYI8CeOOlbO3k1GQDXo_-M`$}r)h5*%?T
zmG9SIqkbBM)&4z~EU1cpD!gG#$&x`IY+iM&u$w?%N(25vJ02O_XGT)25~w09^}`t+
z6Zohr7}0)M1#OjQCH^!KLT72&9^YnZz*#i#xv)eDu^A}5-7@1we#5O?0xxNB(DC}{
zrD+B9FJCU;>P<#el<rY}&XES*IBOwmQ5<@1<gfGU!2<SU?OvhEtTBw;IH`KqKn^+N
z$LuXx?!>hCpZgO0jiIhvOn<{g20fE6%wdffpuP|B+J9ly2s*cS{TNo2LZ$Ns>%(1t
zsn$Z_p^Mjyz{%^K*hqyq!o5v#7FA!NzBP^V{5cOW<22n+=`D(ig%2kh#BNeoukn9%
zxdJeB&WBCZSqOFSb<?9fp@ZE`B99oysc_(54Ik@mesuVGv8PivJv=E-cQT*f3!%Kt
z@=p*CTJ%qDb-Tj=yai9&@3HQMi`aDa#5@P`aShscvV{TOyz+EZ#u<WPWKAc>BNo(D
zDSR@pi2+E`1o2&#2GGkxT@@^3Ks*!dI;RsDKsoy3p`jc4Fak%#49&K%M>T(5KG@3u
zqqp0>kxKR8Bi5fCv9yfE{);#>u~W}pP2W#f7IdL-E-PHo{vXyfOLEb7r-zKfN3xOz
zx?t=a7wnfcfoc4d_bl6@1N?1S-l8ZSxFo5Y+xv0|+wWz<>XAtY#O}_@{GZzJ#W+QT
z{pMF}dRFQ2D=Rv%K6$_{M^769a>z%rt;?{3##-N^dFfz})<U*nnidG^Y>0}Tsi9g{
zq?$K=-KI9#8{br+*Mc=A(w*hE9aQ}~R99ZHO^r?eFe-aN6XMB3x%TYesj^g8;@0PF
zs;QPq*;Ky<$SDpzd8<844Ga}A@!_F^`T@^7M-OVihkz)zx_e{Pb69ugZaX?CIr$|-
zzlj1FR=<prk|(KA#%c?tuj$|?>#h`kQwj`od6F-9%u=NyW6f8{^pFsx@MN)39kLk+
zoJ`Sk)V1CET6t~sp!r;vHQP!Zd?MG)=j`XHU&hPNBu6oTwU7QW&mJ<=&Cw|M-HX(s
zxu%AWvy5;;W76%A8ySMI&V;i=OH{{Zo8$LgnSjw81KVX1V5_@cES9WLdG9Z`7=$r{
zG4F+P-xv}o)QaYRzrRMMd;8ktVKWQ#Uc|aTD3ZXnM2mOw)&^Bfl7sz$78|@z`x#bq
zPYpKtB?24nZBaY8YMxwgVTWRImJ1afL@-}u`%ULe2S41C7bc@Q!PbZ&qfLeg_Aga)
z#X{-fX@Sew=KwBnZgPN&0jkiSw3Qb0o&j7cmm5x{@j%v>TD;_U0tmeE3FZ`Gg0GE|
zoe3+vP{7>d7_y%LI>SXG<>AbbKK81S4*21y)_X;dIy|`D{Ld~@m=#<zUQ!tH1;Bym
zezDaY4{_J7j6eUt1}<&tD|G}RSlyQz`L$mKxK-C3J<~W~*YLlbux??9?`?M)2~vUP
z?jK`{DZ7AnM=Ae7o+xbge>m`zqypcwh+o|hH(X~a<C06?4b~eeCj3jvaH*dz`$se{
z1ow+sxKv9(r)!qCPrEWu3Rj25+xZ~iiDsS-n-nl9>jVeZDucJ7fq@KJ07i7HTN02o
zBnKG&vHGkG{Ksk^S`-UHt{~qfLBSnwhMjP@y`~Hf514&e_6x&4(=JkBupG>=n9h>T
zRd!t0A==C=3LC{tHoe>O(DzK}C0&gQn6+mZRQ?i!Gg@y`oRSpa@dn9{{{$XF3!nH!
z42eUkP~yjBsuHNG56Li*3Gi-x@c1EyJ#f<a?_K>>Wk@}At-4)b6-2(y9#oT+hUmvL
zi)uA^V9;+o|0I+M3!>D_Wm_2_G~n9=!c^hK@Fl4hHWH{@FaER=Ckr{}|7{7Hs{wV9
zKU-#j1Xq}5$_57Hz%%-aVN4JSY?h9Hc+8>>+rRg?I+1XoH(SDb#GDM*yozRPjVKWJ
z%|=-;LIEDQeTxm-AOl^~eVej84e-m#@eBT;2(jyZ9p-WBpj(D<u8_3g*Ma*U-2`P2
zJ<Z;uxv36ZxM;({o&FH}CACk@Qw4lP_Z19iQ6SzRCs4ac7oP3eZhjn#2g2u0#e13*
z_%(Y~k0C}MJkRJ5GanLQsGGx<`cEC?61~4gTr-5+z{$ze9;)E<D?jPcd38`=#o1Ij
zQNjDENo5)*5$^Y<g|{S=;oxX6*IELAhs&?P-QGlSqQ6Wf-y!X|cS}Xk!wAM4-q?rU
zC&F*fKlYohJO9ybp{p`DWBBzjkh<hXgzx#ej@4)IaLs?Xs1-8?((_AFz6+|bcj=}8
zlcW+*h=wWgnluOqU^y>jpbGWTiw5zf@=!J-rlS~218u#bs8J&V7^DRJI<sE}>Q~;^
z#um~bRM{gWkP8o;#IY0CR>fiDUPjW=a~dSc3~-z(PzKq7Pr3O`LNHdM`AYo(4L0uT
z)0^(>_vzc>$4(VqP=_Tesyz*YDSJ=Y`YAx@_xIoI+*u$J@zXLGXdqfBRCDgVJm}QF
z@!iw7PTeAohO}fEgTqH9{ZwW-Xr-vuiEvL+bq#nIevpizKE9XSYAFM;GH#k7Gw-NL
z0uCBbWdwyG>D_+}q(IMfQLcS<01J<P*?5m?1Oh?2=SAryAa!WurplcuEOg-T#e_P5
zQk?TE+^i@R?F+0A^q$Awb7kbZn*)@cFl{)&B@BmUlS?c3moaxG#f;TVDuj);2p69e
zfN3LY)}YTSw&!X`*R|Jsp?KD?ePxUn)b>6~ukKvK=HCtp9RF+x+=p+4tXpzHZn(Fj
zp!YhKE+9FHpErP)cMW<^Xs|<_xv7tr?>cr&{KVDGJqF<5cqfu0gc;m>Q0o!yb&QWa
zw&6cpeV~`o_6sF3Kzmy`&#seen5^@h|4@t`NPKd#Mpw3|o!ZZ6`$AT+z@pwNXxD{I
zsoZQTewC`We#%DZ{tEV`f>qyHOc&VNZfG+GE>PtU9GI?uxQuPB(1kUf*8$%6iC@=_
z{H3<Am|JFLFJWo+$xCwYv;ifq>t{Lqq5c|e=zjKY5wkF#ao`cthVGuJqbWasQ8S$)
z7%dkUFglNaBRbc$pg=4pGSsGzy7IVGwZmco6M4{Oe)NYXJe(j0A0oF?<+VBsX0dr}
zC@@}3#at8C{Az8=2db$;zLfDjPV<<Sr0|-5xdyO(&MVXxjl?t+g1VQ)<}r93QoygQ
z0l=R9+2JdO<;MnvU!t4G9@}6%tyvVvOmYhn9c;zid`>$_bI)UXQMDIu?xuhq^Mbgp
zQzw=p6A|P}o5$Go{4+Tpse|6T)oqLRZ&+51b#hepJmz}h`E@&Sb(qAQTcW0ZVA3Zu
z6lQP>SY{mgoM8?b5`?00{=-9<U3}>#Z|4GL*jvc-T7?X6YTAZh>WyGJPLDWW6fR<m
zL(8+-6(mq?p^32G{f+7GyA{;-d<oN;87^8fBSB8NUuS#UIQHO(^6pRl%NSQa;eb_z
z8kn|PUu>70#EQ4A5<Rtd9GN2*X*o)SBaFndLpP?eDDn^gp4v4`(8K!RfEW?p;19ez
zFguF{DR{}3-rB%O-nhX9dsXl@J+vFa9Ok`jVJ_#pg&lv#VV#sjfIC4Wk6Y9KVUE8n
z6V4u_L)u3DiA_K7aJeH}E|+Hk<7+j%=o?0laN2XTIjVSYDj!S5XDnj5F%Gtm`x(&f
zS1f*e@2J4@`r%|xi)CzXFkbcPVJ5UEO9J2eQyE08hZr7;u3}=*g|jhB%*Zb5&glr+
zPEOsM@n_>%$9gIvvn$`TqEmKmWp%|$us=ve?<#o{b2D|3{!_({R=i6ejLIm1;faqK
z?V;OPCH@0V?>8qB?^8Z~DMJyYyXLNGveKhn%l&<Lb8aM|*IdLRs|Yp|2j8x{GoY(&
ze;Get;YAydMVT*`D1g|S)Z6B1MzmxT#x_30hq^eFWb!N&!2YvY)np<wIvs0jq3SDu
zUVgkzYMa3Ur&o*0h#M=4!rNHI6NHeF#N@*xIXLJ_txLalnjK+O`(Y(+5%lr1uH^g~
z92DDI`sUo@M87rfT@{cJL+1?rCSPdcU|;LNgVaebr2O+T-(^Q}RDbR1=$1GR{N7Ev
zxES#wyqh1vs7Vs>$!?T1isC@inDy`BLO!(qN8rRBZE3`2DB0+*h6CTn{_)eA0;pIt
z_vgVp85At!uqNt?gZ()T;65yf2>Qf-OKNh+Qhr*?;qA_Nfd1?8GGQeA!sW1Wk35Q?
zSI*4PQvi?a7{%s=C_3`{N>OI20@|cy;CROs0GFuBCHZAHvN$2o>*242=Fh4=OKetz
zYL<x4h7yv9N6c;{*GmO4bM%bV{!s#Fo3Og3SSjTG?t*^ERRUVbGFdORQUUd?p|SyC
z8ANSxaM%?|L=G0hl`UI%*l*Szvd>=@xhJf0+u4v%*P4}u9y1ZJ*89_56LKh=ccZ4$
zo{R=$P2|-zNDvitoqN+AhrWqOb8uU!qqe?+=i5nS@G#I}Hu$H29;=#{SraKJ#Pc0?
zgFu1l>1O${KqXW;^qj+Cnu44@9m04PG(aZpn;$QO3KDx9`0Ra<25SE+L+?7F1&7Di
zzexGxk#8GMWO0WEI!M$0Th68ncl+eA&94NMK{qzh`%?oI4?iz*G0}$ugz`OC*@<X5
zs_E}Uss{3nmB82EH-z;bTHhB=H8kVlEl$5lL6<Fd%cgcwA!<wZTxFXYN;#h;vzv*6
z*78q8aWNQyWvo3dNsff3G+Bq`OUY>Ym7k$CgE2JH-=DV7BB9o%0h{9@B*euo&*wN~
z42DMvJbNTa$lK;@%H10TWbX7K>U9zg;wIRK^`5IC*L2FoLw-u=pJ(oDtb_@iJPjS>
zW+HlcV0LqljXbh}54C46nSifYNo8EJDhi9vI(bV?8cp+mc4U5N0@-v`;T2K@^y)Vk
zhuJMr)Lr%4NHf9&63o0kJ-k(r*Hw>;;zoSPpt>w~`LGGJbLp?YPf$W0Wu;G_Jz_?L
zLzg`tF`57_+V(47rUK%us+zqpxqw*~q`Nn#(4bFGuxcYk9{GQN8XY2Di;Z>rSA3VC
zfllQ4xVku5RP_f%PPhD_K6H`~FikRs2@N)l?s#dWrEITp>e~v{e3<>aEr&6zvd3OE
zwva??Uk_=zuG7KF*KY>mK}O)CVlpL`CWcaC#!pl1nIQfKP9$j#z){O}aId^D>h-(s
zb*YF2e$9WDeeVtsh)?-+Zh{|K``Hst?YLt;f+Z*K6BP;?r8)l%@}Pfnr#oz=*x~oF
z9dUK+g;P9E?4lPr(1;<I(TDr&uzaq${noG{w0s!6^7A?~dNaFEkebg9$S6<k_O=1k
zy7&Ij+TQ7>gJn7ix7k5;wK3*|f&q-wbS&?iS;g4rC%<3UW(W7u&o-Bj>ceqUpOX4l
z|FGYOxlStevB9~-fSBz#J-B;Bm(<`hj>U#%TxIiTgIO8bvo>A25W}3fJF4y*rn3Kz
z%TWn7u&Zmqy^_|2DVfWc#;r>+;+gxn>d&m8v^s4U<)Z_coK)8Q;byAG$8SB&DXefL
z$my{4CvCVla4!6q;18<IK8-(D16d(pQ2JMdsy0X%Z1cB9|E8uWbP8S!W(D3L2kqX6
zJI*~D6Oeg)np!rh_5Ml@D<GG#ys2$X7~cOq>P6cewVWe9D`AWkY{g>#+`X&`dAXR3
z?dt`qdAZ@a3$|<!|L*v`YvUSlFf5GG-+h_t{Il!4*)SUfP4eALan*oQ$!Cv#Z>&;B
zKb^RHAdMZkhCgm}jZz>#p`P`I{|5Cxy52tzZ*V~51G9R$3l#W$%PRzaZ&8(bc(csH
zIH9NC^V#iXb=b=8P^^DS2NEe}426}ufZsVHY%N?JOzVc!ZvUVM5v-+-u$vp4z2>~1
zNUDQd@9b9(aYhJE8s_yb-~qQkJtuSCkm1Z}#-?Lun1IlR<tV)7g%%!Z0cl4v#N;ln
z(N!=*#Fu-x*=Kxk@nDVh@of^Uw8cLdmS6>=jgaxmYJRYB9lV@ZNCE-oSLK(J*`S=f
zHsAb505(~3j~_Wff)bx5P8JmoIP+TlQV>N5MAC1+91<bHpL0)5r+YZzyT|K;hH1hO
zgk!A8e5nSDVM|l)Pq={ivdA`ARul}iJ7#au)L=}AEw3z|2Oj_VUG<__3~Zf?XGVS#
zp*)APZ@Xj1x4|9~ghX*LI!jv!%^(6JEu6FTFCRE|k}c)$NWw1%zlhWBM3`4BH(r+$
z0D}Q^Cp1wCf?!nVqa_iJ$JOpLy(kE7AvKonzomg<_A1|TKM}59G8`Un7lQf!n1w=i
zT=~>zT$+2w8$ov0l6F~%fG7v<bDq5%2-G`NYiASTeLs(6*03n7pJq#&&Xb4p-unY@
zZ4)8-ztwXFiMyfIb8N7UMF9@8M!)=ZR}FeENu3cmBLO-5!ma;&6@juapJ^$%<H3s|
z<OYj9kXoDcgMC^FwoTb?gghX@<+^2`ESxm3sPSZHc&NZBp<;St2{O!ypXWAHmw_**
zLcb1=;o;5~9=7xbGVrO@^*C7U)V<f!J>|G6VAsPnonzD?!RycM((`ig@}!90Xe|*M
z?&N6q_)@^UBE2*uMjqO{;w@jYkl<lL|B>Rr9Y5-L2g#J;z}oJods+$!pj*i^>WL;y
zMux45^eVv1Bh$1}UNU&@z51kMCwFc>sqzw9P=pg)l9>8=GQ{T1<eatC0WE83XF3LD
zV930v>Y73Ze0)RD*?L_Fw@vO5TUQ1dX*)b2jSS72r&on6^&w_oFTYN&3UEuLFr<2t
zp`<{+dc4m7GB2>c6OG4%Ol@CZC<_^QRvO*w&h7<GGc}`+G6a}+KJPB(Ndl=|7DxR?
zsL*)gSCQ~-0vI~+ZQs;V15G}yK)ojbO2M-@o<ah|?hg^TtE~z@I%tnNXh!gW{JP8~
zodB#R>^cX=RiNw8vZZ3H5o{HU^}MqqfZ4H<ZYyUckomNJ?uxE4nDwPyp80|Y2g6#A
z?f-Ca!Sb%_!AN5`WgEylB!-8;W2qVw<Fc^M=g~A$Wel2sAJShXsQ^9eu9hY>X~=Ib
zSLkRn2I16lHfafEXkw&zSL4LNFI_Q_z0nw)o7leG7*T{r3Ef<$_X)!kPhd@8zA^j{
z009603|DtF)&Co}WzTC9F0RdWU7OEiq@*%RMiEi?R({HsQOXFVA|%<7qL7ev-wKhD
zluby;$d;{Ne?8|s=Q*$QdY$vUo}o+K%hUWo1_Ef6v|D?*K%zp&q`}(=e#qzPx++RT
z!Sri2$8Hv&o|p(Jmooyh%$TSDtHp!df$7i>4D>L5%0*qF#}LRTnT*}dBtg0$TUa+~
zADj28FDmyp1b-3wuIT}BIK6t^<%GmK=3E$p^Widtj|u%g0@Gr!U}5wUFFc1G;bqxp
zd=5~ve*0lPSp>#~{I{pFzGL5m5`N#;1JIctD@FN&Q2w?pz-P1-`&6Ud;gpR*8dGPw
zJjM^mW1a48)itb;ZYfcv%>ZUpJ%o?a;K0{nIxAcoQDRH)6`5}810PRL>-;h|{G|R$
zy3hKF;{U%8&L%m1@RYEAn#IlqA2vgKj%asM$Py)*XPxzc{cHY_$=B?VYftVjp6Q_6
zGzbpAl&%Z03pvu(k6GYAy331?!k;MV)c1}EeAfY!or$&IJqJM8aI^hw?gt7bV0zM7
zS_fKBPXDxWVF0gmr$K3_3QAHg<Fx!WZ8-g+7JH;Y2UK2HZW-RcO)0CZ3_jkd1-1@c
zE3uX|@Zfz;IF0ceET{f%X{xXmD10%hUn!)5S1vOyQTk0-hEl2hV1Oo=j=vYfuJ2<8
zddez11zlKT<`U0%zXpV77f#Bu?P9^omm<Tz^<q}nH>AQ0G@x#2;Sz~z8yik@>5UW|
z!O$eDXVh~tP)AnbQp`88*OK_f;L35#sVuLun~w~23|+rWr~hCUMV}JgW`1HN!m^9l
z9d&5`5ihgTwvPP~R_S_#|Aob~wRgSxOM-Hp)_C&j8YbOGap?D$!(5hMexwa1LBE#V
z0NAc!yx6*^UEKmUW-eSTv#ADs#JNeu)m3aVdOeNEvy9o#KYT<JtOme*Be>=LDrPG}
zek{_ng1y^PE{^<51RTmMfBY|B{YkoEwO|c1C>tSU#}J|MY#{1cT*a;hA4*6~_=9PC
zR~|OQ5n(we%ggS_8m1AJKZ@Po#NK!+T=#pX3Ts9VeCeOoFj~`|IImaRSjU^-Bynw3
z_*U=;SLXLm7xjCWt%Y5zlg>-)VU`M*TItB^nf<~1Mm<LuZU16{_RJ9zJ<1UG{9gOT
zLmQZf@ZAK~KU6@zVfopZTNx@lnsa{sw~4jd)LYRz&_G5`YJIzn63h+q3CvY*VKwh$
zr0x&W!V7bwu)HiqNXUx9scP<ElZpL_4A<$wHc))}?}`FMt=WD4HNJ~^5?)`}H(&(P
z9Z!1c;|idI)4$hRw~w8Ox8XS<&jdfNU6Ay8Ef2TaoCvh;RFKsY`Hj<%1wP)Fb2~01
z51~dX)berEz+-vuV_`HKP^o?qwz?+=7m|u_ejPM$!gQtgJT)gIeNG*bWtD>_Sv4Ia
zRXUK3ax^JE!v(4#)i+)y$wFl2$ON&19uhnkaMnHCFm&dO%y(H?2q|wAC!A-5+V1b>
z>{of=iM8*=-Btn=j&~%QYBB){|I4hB$Oj>B<?3$+5g=W1Z+caW1<n}y9aR+)0B!$j
zYjte`xN~_icKpW%=k|}*I4B9h&Xqf?L>2-Jrsb>Tba6m*>fO!1S41G&!gO_WSq9KZ
z(x|#77Z8j3ZkBx)1JX71*zhG8IMr`K;Lqa*OUE9yZX^y=KBF(SnF&DN$t&De<%MrY
zUr1;vO2VIK*^G+D1km83;_Dp6!F$Dpy<eqxn116vwvkDIEGD0Or^@)DSoIQfzLhl0
zk8W&DNXr6O7jq@U3qf$RTZ%vP5100<*}Lz9vhcyXXK?nTFl_Y@o(vDj0@Yi)Gk#5S
zaJGx>-Fa3q2&=N=ORSZL_k}6F)${V;fA!P6zpgkWiF{3!E>?uiF4GKtJ4Fb;X}hx+
zApxtC4GsKx%3!Ga&TgAs83yFt@C-we;2dI=SYfUTx}ydUR9RKQto0~a-B1byOiZMe
z^@*V8GQTGHFOEJevgj?9hOxlph=*coARk~cPEJ>YBd<cu_Xq??Hd_DnU`h?D^_W)a
z<ki6{Z`}FVQ(5St6B*5nC4p=IA?ZIq$<QBNAU4Y+5381uQXc<&{@;zb^3E1bc-s=>
zmf)rUGDSz$qqWsRddnw`(5Ve8)z_pcIf`(0nQr&4vN||3?D0v=>VnbB5i^x{O7K*r
zRGipL0$hJ>zc;%9ki%1tTu4`j1V6F;#|k8vlQVKz=LH}N-Q5f~RDowZMz+z)Y7kOq
z^re;85OSGqrbIGTfE^Clu>4eosMlmnV9yZV@BJ9kd!+*RJ@swPi<M#Avg!a=lMxIx
zP>s`FQh|BucL^i~1xSwf{gZLQ7(U*KX3_cQV+xOL7oR%;emcp>Ne>#shEA%s^O6$i
zW_;iz-@!w)o$S!GxCvB;T6_C`P=r_FmwvfiJqR1tU+%K%n!xyDmWUH}3Q!d(cw$IJ
z0P?w*j5HNZKy<&|u&G)O-YxL)F5cpTwk}?eu`OdT)^UGbwLyR?18E^DX-4pyJS`CS
z!Wd{}&rV2*$Uwo2$yK_#EiBDT`Vq|`WB6>|{LxNb3Uutxoz7Yx!|47y-%<0~2;Pgw
z**Kd^!jvGp#^?WfDKWQ)g*+{dfL4{IBL6>eD0wydF#5w1CF#O8PeYp_xMjR9Od*NF
z*HB$!#Zz09Xs-}C??Z;*VY-bSt`meyF}(v<U;L%8`(4VDMF1y+KltVc^MO)JPwOpi
z8q`c%;N7SXAe+AMn))gaBvG#Sjozb0>{kN|hr=)^V0`#oFqadG4Rw1teCSY0)KF4#
zoB<S1Y&4PZtiT!eDShw<9g3r>*2Z%5A@K5(Ii3JU5K(z1*0W28)`lx%hTiLe`m63P
zcYRves!;Pw9Hc|-s!v5kf9pb)wrR%d=sxB;PP&78K!-lFd=rZj*9HF*uTARNH?fAf
zxMWKr9Xb_npBHgf2THV40>=L=WBM}v8VxP9NS*5Di=ZrR7_vXD`I3DGqxmXwbIXMm
z2|wmXeREonV_f~BwB|b|LAh)zMNf+^=S+#=47A`_LNI=L@)OoltD7HOMT3MpxO1wK
zH9@?r{EqmKOv+QguQ`P`XpoOzcZuD)2G}~5^C!IgO!-{oep%jy2JKP4&8FFFz{3h7
zme3Q!l<)U5<>JrMpo5oP2&4~W*pc)&cJ=cF<x)F0N0~1T!UsH*`#~f_8E$*x%kD4A
z-m}Nu3@>TWRKPVe-)HLZE<q{1x%oHcp4KV)0xDW`pBJx<MAacKtlr{(63djKoYAsd
z{<Nsa#d7yq8VMF!vgU(~Rw)#<!W&_1bZF32LzG>F1cNdwS%nts6pjN^E;pL#kl5uW
z{7kkQwEN4%`dV#JuEN32xEy+PC92UvMNthLhy&r37F(2zzG|bk90sKRLGjU8H4$<(
z;=MYob|}s-JKv<YFrsgRXn^hn5hVD_F62AyQA~HMuB73Z(DBv~pQ1@sxHInZdnDv9
zh1YPiIXjLS5qzKiTDqwUN@7oBJqD-{OH}V@pCT(#jB#CEmsEwWPG$>RS{jt_`%`Su
z4jbb1w@>SNpaLsRrtwEGTIA9+a&l;!1C4pK#PR=9hWdjqH;wPpp+64oI&b;7(4@-B
znImS(!0^6d`_vXa5>5X4>ZCb08WMg<lBiIE9JfzC_d^+xweBea&Zj&`;^|+OTPjK*
zZC@2DD9(h!5A!y(v*D1ec5Y)xg(8Gyn|4b5WJb-rUsJ;~`B38?k<0p+BB+crT5h$o
zqS_*-Xu>H0R9e}jf9u~KCwSNBFOIOIk%B|bbxJ}=t1i2)=Y;}Tdp|8E-{nNvBcke(
z$|5LNT*1XLKmnEyPamCo&xMlzusc!PilLMZ)ul)W1u)C_d$xs(2L(z`x(=KYN4vqw
zl_ItZ@PtkCzSnhLv}MsT6_qG~3|*6K?7bCWDF4rfD>Wag&6_QKJS~ah?S6dtS*QR#
zyLPJ7&-hUZV^hR4ODUxE{xaVPqasL2wc{P!1<_u8YjtXeG<spsx$^a%BHVMNNfI{`
zMs!=<w((~PsIY31w#irtf(HZB!jFog4O^%0@!PWKMlS0vm7+3eNFRB)_}@W9pM2_>
zW3D{<{VHzvz;PAWuTfOE`Ar<j6Lk``trSt{igU00X;o-^P;rQtS`r<2y_uf8tAvso
zW0NBYM0mnAw5+9#M|2u_8f#Bf(1B8>@wXyskmC`sCmk$>29Na%k3CRD%1p!2Mw%qZ
zCf)obiKJ1&8-q|)V<P&<!qJ=?pblAo98LenKtMRD?pd8dBD&$WySOw=2JBB&j^<%m
zbdX9Z{`CnpG)qyD406+iIh&iRY1idYt=sfDwp2A_))F!2!K4ja#V5C$p2(v?{)8sI
zS86D$%BeQ4Q3sk2U#-^6R6w0C4su(@sv%?P<E#4dda#IJ#tDQfBH#Woe|v%&YMKwp
z%spiQ9Ln;6?-Z4g-#({>&MhJ`6X@&^H~^q-PCcTOuY{hMJqbIUsfxlWqk|^>0M)b%
z&Qm{>P>uNbo;I}#nws~uZBH}=rF+6EX5W>N2W!(Y24_W-RNBYmscr<+p{Fm(CM%&b
zL$AuW*W^%*!_`NMZ;c=@^I`=9ixN_+75b`gBZFiN%fByi8^aSh=X_C6L`O0rBMqhT
zsHVp-|G_b1aJ>}ljMr5_EhcWHf&GKX%7<(*dEOY72NvG-)5@c6@^1};Z9z23D|kQH
z&KQmr+1GgI%Az{%cT+(Zc+mmeOML~RG1L<hY^L!9lz5n;sZ_&`@He}@r!5=7x$4BE
zvkB7ZQ{LZxr)he`t2P&1nPCKL1jY-Ii+ChF#{ZbLYL`NO{_^k%eIsD^tH{thE{Uww
z;%zPvmMA6T^Ubwi41p)m%vq~M91SwNlo}8BQ8HWgvG?Z;VI?W-PNTjUQnU<lV!Vy8
zm7`#Lc^2UCv!V1fJz;b-c<#(2modzoFXe)uFF@Uu3{s?<0AlBFuFr9t!P1C5sa$&)
zY}?dX)KufpP)%&&RQe(&5ENE6iNl~|#XjBDhzC6+`Y#xLUd9^ROr=cK4PeQFM4sN|
zM5HQ@q8GC(*rjAA8oa$e(1&KZ-ucFcnjEW3SWd2Drg3g8E4TGPKcJ(mmYW&vkb5pB
zkXA9DOt;LhmAdfywC3845(eaYY5%lW$qE*1TlDSqvJR+-x&5epPKzkVtW-j$m$4((
z#x}>)bYL&Dls|r*3Pt+Sy&73s!mtcck+VVCV3j-)EF-Z;;R|J151=e!BmVJ+W1F=g
zG~LKIYHE|x<$S7?JL)&a?KmrQQ&0;o{mm*DQeLOrU;XHH`q&(Htl?+G!c|Rhr*f3Q
z%`H=$KD;R);b$-l5t`-5&l*sBu{`*k<O0R^l=MtL-!xWKJpPSZO#@E9vo$J^o1p|#
z#T>|2nZ)jYtct-uCPT@Y!@RD&KPk5yDnIO8o50@m#nHW?Bf}K~NvaIqamw1j-^|&G
zag5_S1;TvQp>NABMm}$dGAPvL(RgbN3s2MvvHL{=ZXW3a?z=sdx^MrL5}tj>a!gK#
z3p$hF<GDq9I^Hi7ePdkPPR1~ntRFp_KBNX?Ii-~rS*?`j;i#E|D}$JZGgoSZgBtj`
zJG;IhzNg%%)%v}YHh^jKZt-}I5J5UKh@<;_B}J{TftdfOAA9hGUp~N<2p@fpCYMYV
zP;4U;eky<O!xTPs#eA7p1&`wUqE@1zl<XY_-vRGFEVh%~|6GtNWO!E6sIR4C`5$|V
z4j=8qexIC4WMWc<w(Ml@w4qm6?Ay1G9=rEpWh}#PKAI}fX-5=VTByLtyhYi!oBOb2
zj!?U|=ar$Nz0jd!rVfj@hl_3(`mroOzSNRLC8+m`>?$yPk9}1a&Nnq4z|KXdTr>Ej
z2s#(?cCEddFeK)rx^`|58#Wl~(PmHt?16gm>YWxW-gKpFqh<(u*GX#-epmsN^QEIs
z<+Nd^elpqQ*^OW=X9A1o@5;me)YCAN#!ieihdNM5YZRl)eo^EyAP1~Z>a6DWy0BH1
z6K@J$jbS~D238a~IXF};bpOPQZfpq0rOrGxj$KzyKlUq37H$>AOD<jhhB=m|aNjqX
zz*Np#&@}WDK<sX*q^Ef=X7_e~leOa~R+Gw8prT2DN)=jlXY+n63V){hYs3_mb-T(_
zBuxg40uQKVUmL`h>*KH2d;Y>s?IsmmrIrCnCru0WkHgr!j>&1Qs97xUM7gra6=^s@
zj@<LL7{#t9^`;&fna9#_x9_uzNI{8n*L7Z|aV#dpxG~dr5fds6j#0Ccg3_YtQS-PT
zSbSH2`boKEETWk1dUPuu+HSn@u~PeqwQ5qR4pUaJMFKN7y(u0TawjYQM>B=3;EUIY
zH`XwB_msUC&63a{R&8cS^$QE}jyFm4{)3$xEgcK{cdtuaH<C~z&SEp|(HFfQZDLL)
zB;UK=B%q5~y5o7;Ja*RT(x&a&Ha4kOH8<xX0V%!S?Yl;c*qdv09k&wqFzs1~m+w}^
zfxu|-AXZ=*i)43Voz<fP@giAg$yjlaOuQp%R<VM0Jz{C`?W2ZXAJGTS(&AvQ*TS<L
zwubdYBrByorG?23=BS%-2f=AkNmwD^4>po1RY8+P4=qwc8AtoXV8({|r%2u=mikp@
z>@$TC$fw1n_*BF|>3=!=ek?m!iKpV(JQ-%NYC^_hNurQj^*ue{%^s%cv8VR3lNAyf
zU9ZnEiozeMqbs+qs6e+Wko##p2Urz8^STf(0xc$OuA@uT(6TgiY&?t$HtxUBn8u4h
zb^MdOr5akmGeppDnehOl=9M<vFT&t{>0ORNB|YpNxhD9*1P6k(i}Ht4g<&ed>U7yO
zBRq?E()`SaAMS|Hk8_3!!}rXNH!0T4Q1U3IUu8%TN~teI(nShGq4%%+$9t^sxTt4h
zKU@U5CHVrADuhA#Vy|7*0tYl%@nol7JP3yzt}ez3iomerc9n247qlD<y7Smf0>*;;
z{Y@%GpnxT-5S)16W5Wi^8#+8JS?<#=q=|z5!?P88);QRu`m;ScDFuD@d-LzVh{5Sl
zk*lr&{7@oY_aW`K3<UJ{$>fm5!A&M;fYd1n*YdYzNy2gvGG;gUT2BIWi9y59>_y-t
zF0k?RWd%^(-s{tek%WXA1r?m|LGWFwm<%0O0{uscl8^9G&^8~Fc$`TBj{Uy&LrhH-
zta<Z#mxN>>Wf~JaoGA$vukq%_Aw<Zx_1+i{mW8f}E5Ch?OM$gvLc~I&8sLgsHSbv{
zz*{=0(xaR*pd(}7)<dlhS5Dk2^UGC+ncVKLPCp31Ir1lZUYZQeMUA`@21GdjyhHjx
ztsHO-%Xwav(10(TB@aZsNx=FitW7LY0m^-IKfC_WfQzZq-)w%6fv<H;d)z?@G<YAL
zjJDB)D<64s%<gKzf_4*?7@Z1Cgj;=K^U#E}ANch6^SZDt9A!LWpbF1w*>*>nGy&`0
z3BVsWfQ#o=)4vX?!WEJ`ubHX_3~ALlGd~9KO{Nb!c$^4v)qKbA^{a#9{Gy29mLYHn
z8HsG)C4x-$!@71R5+su@E8o>HhHgF|`Ir<U49DOd1A0^;K;rvWw2=wO6?){RT_ghK
zlf`@CB1JgvX#LEG>kvfU3u2btQH2tDw(Gif1TanEnY^2R2tpV*U%A++0*z%DhxwWW
zD4(Ua&i!!+E)oZn>kg>EyS~K7>Nf>p|EZYkm+3?BB-*cem|Y3T?v{DRA2~ouJ3`N^
z{17la^`H0dl?M?mLxqTodzc6BWe=~DhrlvaATZBI7O3vj2iDO?V|N`oc*?s>z%1y7
z&yOu>IH$|JJHNa^2^DnU%+@r4*A1e!S;2T{H)%Ozo<fh(YB&Z&9vVY-TDNHiodn1y
z1PI#hv!c80TH$=Z{@qt4Q<vlpi-Pgz))#;ExKKNldF&O;2;x7eO?V>#7#s5F#4Gcl
zbt>iK;^~Hv^VGUz<pwX@#Jin;7R-xYyuOf?L1hRFk!=SX6F4FKf4<IghjA#ZrNoKg
z1>iZ$CdfU;1amWe=ia=*A<YVdB>04Z|EseakBn*I%mV`}vmqREdDekPpA6uv^)KD|
z*lp})?edQJHykSHJkarZSRZa$Gw!eXFJfc`Dk*^y9CA3D&@c2?54a;<YkPC`V`8`7
zY99;5A+|o_6=hXDpc7cP&%4`12~0dRRAGukvms0j*<QN;_9-D?bpI!%>0;Jd#EU}{
z!POg*?{uJ(u7_tYbeUrNxAVV--@J%)X5h;`b{!Ck*Bc=>Z&3a|TrIfT%ZvIXhiT`o
zXhSL;hqAc$9)-WXrrx-l7s*a~+Wpt71!6O=RL#w(kzI!UtCER-IN{;9JP&Ju2jem4
zm~2{9DQFkr%Zfw#n^EzXkR}B6P{JEO(IXXs#TWI*aVX`)!cUx`CP?17d|s=Q5&hN-
zShszSL-~t$3Kd&5!2Zqdj6*pSG7Q)mq=@jLn1^Af66`c!Sv~v1^lcVI$AA8w(Mvuw
ztNZmYd65h)w<QE-Oxci4ZruEVQ~b!~;4@IUONLv{pTEAR;y_MU531q$1<-!&c4CGa
z8OnXMwGW=<M9Rf$QVDAUX!|wcc+IFflpC^Yn`?6+gKU4I&b%Pf3e;HooTLt{KMK!+
z5H}hLmhb($Cxo2+38UK9>OgU@cqL5DgU;t~rR2$ppkp>4^*sgD!O1l<hqB0nBJ6%=
zb$E#)cC*;|v1t+{lpmAno#sW~W4Hv@+r^M*Lbks~0|`RuACbSz;*dgiS!S_>IBJ-q
z`NZ{%1d4uo-7{N!D5)(}D)^T;I-DSPM=^;6&m)(KqI?2~LR%RxS1p0;Xz1!K6G-sp
zb``xW2qIDb;E0w-lIR$YP;@$l1O%;5jp2bpD4=a4OfVRa)Z%LWC5lN<>%+EYMiE9m
z1~ZqVE=ZxHWd}^tzK|d(izCR2R}@j_u8wk@mPS_GEe{Ln)giphTxQ!}42>t!6dy5@
zLHq~5>nk5s2bGbkezmEC$jiZ#nyg1ax|b59Rx;JW^h=Wi>EHhng46Lmr67yw`t7!!
zFp`1U@3B(lRS9G{esb|4w;Xz#?tUucCK*Ec6?hFbB+=LkzTntzIdmZM22qM#17-@<
z?(pwQqNha?kL)Yt(FK_I+9}e2&<(TSga$k^EuLPG@=!qU65Z{?95rD_*x(GqEh)4k
zocz9fR{@!d{~QSw(}KMF?q8P;{^^N)E#T*+h}sT3j8|UJ0!NZ;_sFs|(qOF0wX9S`
zRW_{x!k@I^y5uc#M5+v$(pL~t=~hIiY4OJozSe>6AKL3zRS0NQHGHkQS`q1I(w*^o
ztP6}er_;6G5YYP5>57pniYR{e(s2I2KZx4Wz9dv!7U?^N=kU)epy&1$RqL1Z;bCCl
zNkv~-v_oU3)vTg`lIsiI4j(muk3s&4=`UrG-3gP;6Nd80*M4m7wh#tvRsGU6jk1XQ
z>653@csVrY(z)B$hk@0a)`mj8EHVgf8F)TKKtE}@+BXaUieevgxTVM<pB)|4b4><`
zt;{oL-UgU(<z1|_lts3?<l(+$DMWwCv^A;bU;Xgc%(HU@RG<Hj=jQo;eNr-C$~yt@
zvOF4p#*={Z_QmHaJ0(y??ep(b+W^0p0?q|=$e`Pav2W%uaa7Hg*l$N`2o57<Tdcw|
z=mtv=n|7!udc!_-L}?E|LQXPr(ncCx*jl%x$rD1ObQ%k{X8?k%uf1o9kV4;k<OH++
z@*_Rwh}93R|9I{(Wn|{!k#U>Wi_@t%w7=ef{4)V!t=}@ds+UCe=HV`OK0GMAr)f;<
zGC*&X<4^WJ34~9|e88H>g{If|zGV^t)a(qSjxLF#6WPJE3kw`*<zi8~%?}JTBT{yv
z*u>Gfx@T6-`fRA<t&RNu>@dg{OyS=?FNP|bnFAY`S<nqJ0c`W50kr!$uTR&CpxlAX
zuFEHwP>KIL_X8vYxFzm26{#qU91cAYOWtQhJCpyZxINK__w=TD#pQyCohpX)4<{pP
zX!K}|pwR~donldcTLIKwa<|O-Is+1CeyWk|sRt+XRrSsI_z~W5qjZwQ@Q;7&deRqN
zFb}^|v9pXrJhl&WbBPQnA|^b}SXUQJB4#WnXL*tOJzT!$Wd_7yYBsH3paU;8W1}{y
zcu|tuwkY2S1Nwb;tL-mN2g>I|Ui6cAkjJHX-v^<LXvqGt`h2uDaNu5ZE<|u6t6u}W
zZAT8Ews#p>C-<~~W<q``;5QfA&SxRN(qTe$DQ>nw{#wv|%XRX}wSRMxW#|x>B{O<e
zS4K%$)dc!GmxX<}xKLaUk9JNJ3p(m)zc}Hm3CZHN+PGFuG;}dR_scLVy0Lye_5QX7
zu+bD4WT$eXN&P3(HCF7Xbj~TT>$V02>UP{P3FkyV-iAB!Omd*x%VX~SJQ{GGCu|Q3
z;Y6+@W=1h>oXFcoTW-973@?vNkmm1kqW=Q`0RR6Kmv=nX-yg^Az4u=Cn%B7Zy7u_I
zjg~YJnUxkAR92-_BGfkxLXuHYb|^~fzLOb>5>g^mqO7cB{QUlXpYu59an5<1_w)H;
ztY3ef@<<eKeSO2LZDRy9YyGlk6(V?ny*BMnp%|KlY&|g3$ADnnib%^pBG?xH<6d-y
zICizRn<qsx;Bk}jDH(fF+@m+Rc)MK!qeo*xd<+;+Ea2HMktd3?<_)1DE0XBso|F8j
z-w=ZKHoX>66GOJ*V}XwdX-xh%rpb5H5FCFru(Fqkp<~?sl^sbkD7Ny<tk>NTj)gA1
zo!ugi>&q^We^`=5x8rd`)hdQ?B&BYKn^OXB?FO!zQ}Q@H+gP$;k`7&44y5?Jk-*f5
z@r{|HiujB7##`fNI=rhF;w2YK;{DXj*ZI{-=$73myRn20EVV06F&R?m86s8w-C6}7
z-#QoXn?VPMt9}+)InsDOwYSPfM-_99=*kD&q{IG&FV9ZDl)-&X1|j{*YIs((p?Xg?
z9X3-~6FH`2v3#fh!mttv9rWau_f*m$by<F5#8@6V+?$;hG{_j^5}^?PnGT=w%7t^U
zD4>n07)Pz4I%dCAnVT0iglzAMuI>L6vB_D5p1DQ?i?167b*<h*vWjp{)p2DsE;HNS
z=B|mox_lMpWrpB7`0X?2c@^|)+)rx_(83$jR&ol;tM798S<K0;s;H%Ykk=(d8_UT{
zJZrKTFsr`w+JdBpe6ryJyMuM`qk^`jsj(4QQH#GH{HulsINYageJQBOu@ol#)d&<5
zxycP}B<v=o#HX3)qOC(h{e>)JC=x14%giO?&QFmi6UKEh>ZiwCLa+%)6~;F9hO6Vt
z`(574=kzdfY)j)gcT>2-W}3upqk)n)Z0z6t(8I~7O!GlUGce~@CvRES!0B67oIB+7
zG2wzKxA!J<2pq^t$uH2vnRtHT590cGts*q~sjCGrbu&0-?6uG{?i^>sTRkjHE$&<1
zWeGpWhsiSaT1YP{i@CW`4^0-V9WMr0!OO6)QA>(8R@%mAPF&E%uzU6Cn**%j_v^7g
zD@U|(x|AF<d!B-ly3gJ!c@p5~T6jArNgLS`tFMKu)4|Z4&EstH06+Ks9$CLyKbu{9
z@KLuG`cR5A+9LqmZ>DLn1g);qVQ;Nzqls@+M6X%30=x(el=wr|#*js)l#iFxu|up|
z^p2nn)Qi>R?yS_pHIb}IHMJzHUug~Iu(W}oj6=8o)6&8K-rLAFuZq`8ezPgMug))9
z5GaVyM1@mjGTJm1Y<lf4x_P$^@Sd*K&wr$WQz{8F<QWBg5YBZp!OI3dd@bc*>sH6o
zoh3CxPh~N#d@R9XjSZ;g7xSGQA!FbD(aSO~r10ey^>R?Pfr<D@_Q?qnJ~;DN&VpY8
zmm8Y9ye9#2R)*DdCe-ltEM03bR}^0dr8cHi0tB#^C*Jv`ira?N*|uv4V^)Nzz~@i^
z$w@Woqa!Mq8Y-d_o57Endnel_^#DG%|6=UwQN{$VrW*1?9*pIZ85yi0Al-EIz~Hzd
zc5wu?lsR!>jNQBbND=`@k~UsBE~kL`hqHNagmYjrYvz0Yv(_-uGa{?7Lk^XRoI+7a
zcKlk;t#`b~3M4h}wKPAM!IZ59Q>uz=c%s-t&52<Jr`P&9Wm-rh`|(;=(etdR@NQnP
zEx{5_E$Gh-bxUGaVuR1PIV;MsT2=lSv4C1RF<D5KKsn=vQ$1#^cqg!LlhXzZ(5awB
zH3W;Jg%r;^N*F7S?D5~0nr{y8#7#}qj*1~X2s4iT!HU@tC1UEr=Agv;T=33iQ7rb!
zJNoqk8*Zx{IlLy^46?=R{Ja`P(B~ytIA}9Fo)QnGF$PURBd7kSnTiO$%M!LqG~+;_
zKc!<zE~Zd5@t-4EOBl&Mj7RnMoY=N9bzi5!1fqkE;jT48xLy75zf*^~@X<-<$Z*00
zZj^eOHr)`!xo}l`-ZF0VjQ=l{RBa3rCko?bqy^FU(p`~gQC>6*$P3<NWel6$B|Quq
z1W;!u&yKQ7e8{&uwL$Wg5&S7j4lukYfbl8%C1WZAIN08=mc7Xc>|WTu3@Q}B3H}Qr
z67K}j-+jqLws(~a?$4B?z6fB|rGnW5S;APetoF6|C<APh8)*(^g2+6+sk^ye1SyH;
zYH9ooc)H_h&)73TT<R+TP(ZK0V5@5tMY-%-pA`xWL78%~yLX=uo)oLBHvTS#iVshw
zp5JN+!7k_jG#LxyY>z~nqo@QPw|&OYT%^N3-iISD(jxfy-Pr-yDv6$UdDjDr>2NMP
zxuGLh1fxdOt~uS4!l^^$JKOx|aOKa`P6Y>1+|@q6>xqyIdO2AA?a-n_`5)c%a8@xK
z?mx(taa9(>R&M*sOwph(CUJ6Ys~GwRDxVaf$m5B{abw3?8l3FxY@06<$16L-*M9k;
zfK!?aiDp?e*qB-IneCngo;BWmEWc0*t=B$!QgeX@{<otGKbA-$J7d_`%|Qj#B`h3<
zj?=)TCgQ{Qb}4KmK2*AFRK>{`Vm}{;)1bwGbK(@A3<g!L4H$4&!x3(JV?Z<w6wW<#
zZ1RxBTJ7#M<6|Ve-PG9Su)42a_!+TROgSu5^|KX9CSzHc#L|-%8t_KkyDDv|fE#3Q
zwxrgmBki|vr5ZmS_MCPu5`UwJ=`k!PeP%SUYk@fV&zlamrJV^ELzL0^Zd;NnMGH+z
zeA$X$(P4dT-t^~W6@1=EM7HhJMw*dKe>@n1Zu-$Z$q}k3z1b_kKS2lk+D;S~bQnTP
zprO>;{c33N;ePb^Lkd=soQnI-GGP0`108{GBup!JG!8>ubUtV-dS;CgOw>7U`Mi#d
z%M{<ol*f9wa$HelgPJk;Q`mmbn5bi(7)#*A3;L)vO=mTiGJ%@o6(2-M8mM^Z#9$W1
z0Hdu!C-x|t!u1oyu`HaLC`j>WJ8{bZ8C)spt>$Lnx3N}U`=cf%_P2N3X*Iy}xt(8p
z_L_sHm)_9rG%Ylb%av`ZGC*ggAc3A_3#ilXmE2^njohd9xrO=|pz?zikELcyn9f*V
zVbZRRWsgg<lFRgQnR>>pXweG95-%E*Tk7BwmxC?(ReJc%?XaYyDgiCY!ZRgNI;i$;
zHZL<=7c+m!Oo_?@WaEzC%b7aZ5zQO(YElOy8>?<lCIX!Lmf@0ceU&#|s(vMOZTxp+
zB3*D9V3vDrXR?P5o=D06sJc!Q_b(Z^c5kx*MWHW(<uls2JlRuUV5N>%vl?_$lWpMT
z(ysnqe{H<@aO2h@brSMsCRd-Xv4N#OBFWn;w9wn?efv5gRn%rr%edQZ10k<2<b@1q
z;+*QIj#fS;<l7b}^Y^0-m^D`lcu#4d%9Hf!c|AD{i}99GXtV*6U7>09s5+{RTehyG
zN}<X`GKY4K4R~%eDUIwP<KF$%>OmgjxcSk;BeB6YaO!wu>)A3AD$DdoMu&@F)<Ea%
zQzIJ~C!9yzE~#OZ1g&8EZ+@iKvOhN(17LfyPg!xVDt?k~y?VBg8}qz>N!e!tj3)lP
z;%1|Qa~E^jKa)8y>{&qLm;=C7L!*Spo0M=as@lcCffY|2%KSb0jevle1ML|G3K;Su
zRQ-Y6GLtv@?Zhn_0e2q`J>0%}p85tyHT!1^%%RG-Cu<_C;Z4V}D{&4o_?#z~MQz(W
zvo2d#pIK`KImJVP<?&MZYI73{sdkoGch6ouP}m9>Czxp-za-G>@ZXH}zh;<=l*wye
z-j;BEL--}qDlfuS`I>_t&M*@va#`0FTENke%ZGWC#E|@KQ%m#Q43oaT!Ln?{9I6<~
zXM=x<;M_j;(t*NRW)e?z{9iY7$olW#mX<1E%o#rumj8T?dEVj5QP(mvkY9h7s@o@s
zCHXF84)TAQ9brS7KSj;pfG=OQkevX|(w<2TK3!mbWAFOh7-|aDi5KqK5AvbCjF-6m
z)kWq-Qs3s4UK8j&yf^exH819v%9-3tS!P<Z6-{4rFoBI67d!Hsc`!ak??}Nu7ThqE
zA`<<~7}mRWBwrHb!K&`!8+J*os8sQJx|?bYrk9gWZ8*cd>SqTIEq1b@w2;B08~H{c
zPv`RkC2n+=FlHOp<G_J6HGwr+Mi9_B*CaX2g=;Tfm?*i)i4k{R`yMP{fMM@>US<y$
z(yAks&&qRSbLrpCY&ru>4o&QcndU-w$xRQYAMxPVO?iB$Ul_tr=v)IggBumz-woyS
z=fk_n6gl}VhR~YVbl4)58$)?D^~6jBQ0ny??mI(txZJ#_=YR?iW<+cD-Xja)tly?S
zIJ4^cGrm@g79QlHD2%npir^JCS9Y2*9g55!{JL<97yYLe(<2Q<F;)@^Dp&iz|KUl~
ztOP#X_l}o`-B%1Z{MVSQd4vY0v9@X4x%?>iS96Z@o;Vu)5?mZmr9t59S<=M;0W`>1
zvawp0z%bPlWj;Mrc$+0JZ?wws)=i3Qe2+>Y=iy^%%4t-v=eZxe<*hKv1$z0BR-|z>
zSKPY6mkNvIdlOnOMevfm1fN=-EOs}X$QGbeLF>ce*s&5(ByHQI_3?;2?spEN)$&t8
zsOR_7&PQUn#{Eot!gfX6%un}!)n@>iPBS9)ZQ^Jj?V4)7Lm4}@4yw$)Fo09+0fV<W
zByoeP=h^Za6)YO;al27z02y@|=crCnsQ-XtDdxK>E`JUd*xh0PMZex$p;t<y#*?Lb
zsvHS(91h7Fu~6Ynx2KS{i7bAJ+9LhIn~W!RISfQmsPLWD<GM?`9Ik)<cI`r;I-c5J
zp#CF(3ZT1UcRfY{vzWo34)AEA9_hdGb<e5b^{Q?6Iu|AUx3-~N=#Unwh-`SCtVx6G
z*%ZAr1r=o1kTR%!uZ{XYeMy*41KV8^A$fAD*k!WpV_{Cg>aXhlSJu<v5+j}Is-}k7
zuB7U&R9&QNwwqpNGlXsY?Wb?hNEq$3<z~ie9*GovvGV?-A&do!1wLOxMxMWsb7qPL
z*us78>!&viNbw!9IpU>`hEqom|0hkwjr0qDiPd~0_KUM9DNqBifBZ}O6i3DA1HCzC
zg-zhw*<>%*lbX14qroTkGZmZo^CX+xOrbrN8KZwf3qv<?^V}1lp~8aVD_s58)-KZt
z0{gU4T`xMSR-A?vFBF1;6)oV<%O2@S6CFhJ`=Td*Q*rlFMy=-+OHgSp`1kjx4$9TI
zZ0$;>qLHDlY~qR){QgxrY#c^G-H}a=!$MRPrE5`OF9B(X&iqd3q+q~iYd^(eecb!F
z;lULTfOQM}0{gji(Ze8XY5jLyym0zmq2mAj|C@7U9Gfm)DLTZ~_D%<7+QlEch1kG)
zC*QjvO%!}6$v9;it%ZMDbZHOzY(T);O6r0a1%<EX^!EvBpu`Qn_c>HsnEbfY;9r#v
z&hb`#4v!|GoIo)Tb-yhPSRXq5epDNS1a*%bSX9BoBZvLM&f3D-_sv0<{%GNkk)JJ0
z5k-uTD@^EGt!L%-(O-0H;&*;M1^pv3*gh7?nj2sX*Ze7|Pw%XHjLt_14+9B&r_N&8
zYh??5G2a42Jk+t>sO(Mg4iS`79HP8uu?2G_g()L;G8&7dSQ-iO;lfAysfounpqXxX
zO6P$Zj&^)``PP*KLyjG24BKS`L**&_R-08Z`@%UZc7+vY{G;Z%?d&!nLP_0QKckG^
z2}{YAPIJt6!4-u{*#L9<QeHUhQ^dIVC3}1FB=cF)=>BgO0Aa7gADd3ep`dPQ5xH%c
z`QuE^t<rn~%Io#s&1K7AhgG)c`<}1NU=E*}s9tOE>U_nw>9`a=SpHP<MyiK-X1?f{
znwT}TY^hbc94>*5a;Eds;vGy~+mz7n8?3;M?cVVFEHOMZ^&s|>Ks!@5%Ce_C#u98t
zxiu`OMUcMM+2nL^8<Y5Z=!tB-1&A!N>1huLVQ<~&oyC@R<`%Eg89#mtxSb+5rJ^f<
zMsvwEKBXPZ_gzoxUb>n?TkW&*p&DLnW$88xf8EVgjQFXfn_~vvyS;Du-r>ez^OdH+
zcfHJgr7Kyfe@($6E!tbBo)cr&b$wWF{K{nIe;NDR*%V|bQ-OKf9H{lW_>9Z=5c5_@
zzde7c33y)1Ro>9ZhVg3k!jX={OpCUv&28c)V3{6XdHpskdYF8hKl5RfDf1fB<s*z?
z??=v+H90JJcCf+S<NP?&@62bzH{XpQCu-tpN5u;Bj!Q@yJ#Ug3BTysU;${Tt>-P9R
zKEBKx=Z!Y}p7n=$aUl5a;%f%X-!zs;i(g`f848-k=FKp3_kWk)XvcuBKYl+g8eC+q
zkoNC;TRX?}dX;=WmuUzd{ey$O=N6f5>0fs`%=~56WY>LWUG-rh-m%!8or}!LpK+|l
z){D#(fqgdHYU$9<SxShXTx6#0&HEm3cbQ2wri$Nmq{ED6(#x{eMdspz==*n)Sg=%Y
zuU%U=4erl9biV1n#N0OVRM%;Q6;s@rDwq9f;Hbe~<0iYzOiLX8xZjl>+XnmE^_Qp+
z2g@F0;T2|$sL>R5b6|YJTZN-HsK7FL@Y1*f3tG2D7aj}e!fo3*G<#`Os8%-DVQpnW
z@zQdmItC9mwQ$I(=NNz)7iX+fDl5iS|FAWc;KS<@dEp`B`rz!O^zrc-HcXFyP!lC9
zfJEQGkg%OTv<z2UI7YLh*0JyUiR*>1fNwzJc$OZl9p1`z@;(PzRqPFKa27##YP#A+
z9z7th<B%8`;Y8ZgMnV5HQS>)gIKCl57kFZCDO}phjX}C_@W_%Fmdjm<^je^RS%}}3
z%RM}JEi)?FEK&kvJd?CjFHj(@;me+#t9dmlagDl;vK0R5^*H3HN`av}uRZej3815J
z#N)yNY2=I3%w%uT0gIf9;Ejib@U--OXSHTo)He@&b2Ux}ZrZwZt2>DxA<3QbwnrYH
z2-J1Tc<4Zb{{4x77*SkLE^>V(u7pMGo+65%1A)<3RT4VH@W)a8O+6MWc=x=m!iClP
zu=z6;3P|AMrCSN3=T*`7pnzJjj}A;`zm8~VlEmfA)^w)<H9XK=6c}(z2de9?&}xrK
z<7LkOSQ_2P_;b7a2>-GU=<7!}*;&e>Nzl=n9sTN9a8k=E;35UWxf)yfH04pv>!AL+
z)0+6gIPzJ`8eO=M+gRytsEBVvNqbXuw9)?>$@80$9&8L(x&CCAGAeQt+=4?o_{w!z
zFngCixc$_P9qLrUlw1zd^SiqE{p0gBQ_Tion%3jA%&&&Y<MM4Eef3dMUh_}&3o0mP
z&bQ=kBB5jYhjKGMD*kX7-plix22V=2_VL~%Bm0*0BL!VleDnOpK=J?`RMd{n+l;8=
zF`L>z-s?0(*O><rR0e2O6|eQQ)WkCh>wn49=y+rA6_@gRMle`(!;2cPg%1Dhp8YAH
zBXR%c>!(&GuzC8-frut;w0oX$(DyGLIXcD06=zMMM|@-P=(G;@c1GXN5HUoq-TF$F
z_2zJK>)TTYS2^WxIKGE8LdOSEmjY|=TEcSj@x+*6U9<$(bxCLG7?I|<G=0t*gui4h
zjosEmql*nu`Rz0m4C*bB(FS<2f0#{IZZ+4Pv-2MPLd9UN2YRR2Y@lOZmk7A&<1V>|
zNN#Tf3@=LMzg}kpBV1{hoj2)Yp2Y?W$7{N1uXq1a&Ouw?cwV4IUD88FlH=I(aBWng
zemWdIZVNW^q2$E<dU(yn`}Uxo2Hx7^5&U<P9k{PE-J*V37pYsb{kz|*Vah=24Xz7z
z5V^yQVIEGwOvb(X$0Ev@T60&mGt~|lB1yX(^>pxc-m~PG78xuNdHNwB-VPprp(r>%
z)k3;ya!D|!I4aHikQKb`V7=AvKsF6cl&HJg8db`VEK^k^At^hU-N9p_7O9R@lVe+)
zi`XzJLL&KAwJq#OZGJ!6Ov2*=YYgRtXPGzueSP|4n=OFE_g}YU)Ud|;&)Dsr0p^c?
zF9QA>T+MNzt_;mXD%fTsVy{BJPwcaNk$C9PDo^ibcTv(5aX@AIhRFJ_g!t`6v79M@
z>Hf>A%V*^<*NB7F-Sju%u+p`dcpTuZTt1g^k~B^)H_K-Knj%^(3zk2v5OABpx3Rff
z0zdJ`8Vi4!A#QM&=sXrDpj)hY=9-fjKKaC_a<_brknO79P13gpxd>+$%8D>%)s=qn
z&YLHg+gv-wwphWr6I&j9ujNPIR{z1Bf98pY<_EL<PFTW`gnL2mlicW&`RnEM^LYX*
zn$G=~ZvjR@FJ=19aA1u6dB#7zd4hE}BUNkA9FFa5kS{;LiY{8y`)>Kp5#CJ+?myMc
z;kYYzS*F_(Q}Vngo5aysqVJo^zrz7$5V!8a#MRJwrdaVoi-e#VB6QTJ)v3Z1c#<S9
zNs_0T{~4*?|9Nnln6$DkqVt+U=jQne^0o=)Mu9%w<46AxPW1;~KJqnz3N`)#vx%R~
zs+)5*IdM}&e)RB$Xr?g~%gO$m;v8ZsDNfTaR!$PbUk0ddYQ~_r$H=`ayO+t!o<usx
zHc51Po$mY*Zv-5FWn(UebTBEi<y@pg6T~iYzrf`g2B-@;UpZOc$P5Yn+PLs*oH+e)
zQhWb?2CUhd_V!`^BPMH2ofO-eapG0&-EEUShEVJ1Nwda8qGcV-czzut{w+D340kbv
z58lPEp8tGC#Q49S^r#sl=JMn3cD$v-cRu<@SFc9mSdT5S@MDaK+F?~ZyoC-1N4uzO
z6KzDrhX<od&f~<I7Xh`&?`iOwc7DRr;{$O|RwsTB%LK7O`PX=@Ck<-Ce#U)^{75LB
zAvMUKoFM!+$2EC<qk_sCb?ViSUSe(MkY0k+B;iq12y26>AV!qMiRAVZ(k*N2oH{3o
zVE3CRj&e{T#X*<Kb7_F^SrbsSp=yfYOdmdTlV$+6Z`OVPaAb%W3fz9A_|+dG>C9W1
z#MS<}v?w2)zvDZRHEp0JH9bvKAJH<ayrBn)Eg$ah@ERsGvV*50Hq8?JO^?l|+H|35
z-h}hY;Sr+8n<2jL-5lY@d#%k#Oc!!(`*&2{`b8va?UHtm`AhH|3@kX|K><BJzAcWw
z#t7Hlm4;IR|A@Oe`i|API<Qc8oNJ_Pg0L4oBDivXiP-B9#?P^!4OYtA4bE^+5$--~
zct3Tm5HV6bJ9oKggI$WtAD{3)1W9(Ml(i8nh}{_Q8!gj<QF32|4%ZBkaCA#uRTdir
zCYE$I%V<Ht?IB*QoF%+y_Y%(1IAH6&1!I#KO`z(SNLgN;CrrLEMma_~;qBt@M<MeX
z(61n~oi}NL*ml67R<4~Jil?|k`;Tb=A$|4kNW&trH%vfu?guZ>GF@(tPpgBKzhed`
zZG~7_TT;bf2mmQoR>J6vI)ux&M23y9K<PlXbyt-T$UV7y$WKfip4jF~e(+|41+8;=
zIVb|3NB3s<m5^cGOBflLVuzggm~~}q#o+w@A=t2;4Dt`F{52nPLhF+wz6Dd_P`koM
z_U0!8MJHiHP%1ZEefjuyM}s8%+!}t(q?H7ZTK4{JDdC0hx9r=mHc7*;AJ^O)GDzU5
zawsr)fgcK}#V?%x$%1S)nduotg0B4|`*)ref^Cj{=4W>)fbp@QZI4fq;ANNhj_?c-
zXkn?}>ba-{jB}5|R4<XB_FeWRDP=L(n_^@-FsuT7@9&F7SCYVdXRbfzD{)}yxFZ^K
zR1L0hX%rseAj86mx3r@FB%yE2U9nDv4BG5*CYIr3_)@k{U~{B2m|3|9=6q2Hnq3-2
zKuR6<C|lqAbW;{yMDdRs)o4QU9x0nIKh%Nm$gzkw{qoSvnzd;2QX7VLrpBG0)_}4}
zqxU~tl%S<4;nw#q3dkiMFORj?0>39ydch}DV1)I9lroDx{IuoT_^)3Zc35>dNq$iU
z>7U<{@5oRgG7|1czNdi4sV76~ZX~$g_<gp~fCf(Kbm|?FK2Z1uTi$*l!~P!}ZrxUN
zU>$1yCUuw!4iAh|z65K4b$#tQ!pso-)AkXwOEfTB;kQ38tOY06yGve?V!()Hf}CF6
z>UeEBuSUK$eBwJ1fsG7U*u8S11C1cOsk7b5oB|~Q&!^jLjKK7q<*CF`6EFzUyW99k
z7uGr~d|?I~fuY9Q{7DOQ$lv|ix=lbI?w7j`jXN2Ey^7b9`BfjN`V;9_!!Q8zil1BC
z-!Z`DN9BKBq6F+EWo8`}rb2YPs!sZ(A#|VDeW6(iaKDmY+-xTm`cvI_YfI=b_256Y
zq;?yKwyLl>6io#U4yTq^k~HvZ<y7C;Vhd|ryz2HvP~r06@KXOieIShv^~>M3gRHgv
z&MCH3@cw7_IKWf~L|x=#BP{J<r2%X%J~n`PAA6l=@73YWj9-;cu05C)ZdY5ntPh4o
z`JFWZsvy9X%@*Bb4?&syJM(1pAX2W_q;;zt*immqnSQnh9jBT%Pj*vaSkm|Nr2}G+
zzWFI}xzrw}Eti)xBDCS6>P^krLN2gLGLG7|+a9bN^q-wSstM*}H`PwOnI`@R00960
z43}p-)ejWL?Y;Nj*R|biT-UgM2SuWyj3P-^5$WGjDJnEXC8Qyug@jNE-D4}#LWN`(
zvS(EOy*)3^c|OnQobx^BoV>&pp+!45uh;bUiyH}8{^L6^7;%osV95>nd&CZ?3tMD5
zjMTx+E$qoq`V`asQV93ypSJML@$$I2v??rQb=$o8{D(<C0nbXkY=NKe^miR;C3vG+
zY|XO5jy9XF&$u?)Ky>(O+%W?=a1GdBnDT@hO<vi3Y%sNf)9^*K<D?WkY*0?xu#pd4
zJd2Ec9|C~tuZ3wLaq!t%<v`&Qz=e~n$4{yN^h=H_<<$v8%iI&C76C!@`Of{lm_a~G
zqv6@!Szc(03>(u*62#=`jISFUtf4hqPH0Ci2S^F0KS(YV#9EqiO@<Ex$Z9&@2AHcv
zo36;AiA#b=^G&+PA7cdqG<Nq`l||y+{9K*aIzhZqW+l{GU<rPS;k7~y6U6go-PXyU
z0yuX5+6|sz3#czY;%5G%mx%WBvy4j=!2ig~#(iW9_?+b3%l@aDSkHSeB8(=0GTdT~
z7ymPd^<SzRa}T{{D)jw#PHCDS?|8OLdeqaw>MxJ)oz!0DO4?uEhB|)qY2t~_Ql`T;
zG|zo^X@n_u_>*blQ+}M#jdlAGV+K19dF{9PJjGNoxVE0u%#Sq6^_SH@XyEH0G9i#S
z#|$@k_o0hJ0N>5}OmukAVB%*$k;lR!^BZ~qIY<D7Z~c`Wer*b$YPa&TtFJIUEd+RQ
zN&x+>$1XG1n8IV7xDy>Jf0=js2Cez-3u5556v;JpCQy~wbHMf_3)a&wL|UE|!g2a!
zioc@?@M-fj_V==4z!jl@$W&oWv~smqXfp;+{~o0>20Mm|GK%JRi(r)z5A9fhF?=YB
zn60?ZfxE`;pBhyX#dL@J^lQsTP*DGwnfZ$o84UXePUE5|GWOl}W||TF=#Q7J@Z-jb
z#(sgGHZg1$4pyzA8^L7tJcnin4~i+pL>=!CM~ySI1iL;e@aw<RM=w4kSIK&b&Prgc
ze#nLR%T##2ORva$mLKCXvm`Qfr7+KU)nwY93KrQDs&YAk=zob&&^#rLYr-W8**U4;
z%_?`cK1>+-+d-skP6kazBlo&DQ{aNN>K-Cr1l@+)o;#eC!^{3Jv#;HtfOX)nYU3hN
z%pP24S8c9<yT>xyuN|Pkp0a{DMxz)8GK%Co1e9<?-O_ejPYU?6UVKtNEsmc;T-=Vb
zsNl<yrP90h6rg-q;gh0DqH<iih!DRj8mY{<Pufx-0VNXM;-#=tRM=;Tq=u~7uFnr|
zpumBg_>G5Vq|xJPvfU0Bb@XvSzLH=Hq-;#xt9w`$Kd4{u-g#aFeI{&vGp<sAG;t)S
zT~r=BH+{)tyd`0f1XtUe_Y{cOomLoBuYhH`Esj@|$;eYT@Li8Y1(|4)m*Zt6tUA>9
zUH*s`3ZF{!)w@Im3a1Dqi>`vB$_I6_-fN>h$1~+CqDHXaeb-)9V^vI68d|Q_*2SHh
zyX$@x7=eygkFhRI4Fk*PDC3cO=-?I9UKwZ%J8Z8MmlEnopV}AY_)H&HiN>Cn<|d$(
z;wLJzK?83!6}Q%O8Q}dbrm8kNrXasvb)3VSgxze%LJYbMaqeR0hdde$T>H~)j|OU@
z2knj9YYz$vAJ^-0@i7DLnIELOU^03Ym5yxAreJIERsq|abhv+LA~toq7M2>5Eex6|
zsId9xit<l$2zPrwsc5Z@Qkvt}16nB9pgX4^wB8avA6It-E*(7hT)zCz9SZUdNdLeB
zD{$i7=HLEU2fwthmx^?x;0p=w*-{~Es5~e4`!7`&-)XO14vsZMMOpuVEB*u|Un@Qv
zdqEfTd%D-f$Qz&qx1`oKSAf(9hl8o5y7*=A9cjW>4;PQzdluXWaP%?VQ0I{@*3?2s
zt&a}A4$NO^_pyO6x0iH-{kj<Im!(^-p@o0XsC9eS+CbE>vv(!CF5Z?DbrNa(=Tk~a
zcb%{;WGEk&mkiQDFU=+!{jKVlz<F0#)YcY?XD{xRy`_z()XG#;$5fCla6azPzkM!u
z`Liltz81#bDEM<<O%Xq?H2!4#i(C57yHT!_@m_hu+Q}y}SbcPel4fTMJV73jN5eF6
zm(~83<_rmxG`&Z&m$e0ls~SdPh9vAgpzyVFMg)1-tU^M1Y#{b@avtxHI-Xr{4841h
z9~1KK1sbK<z&W?m&KzlKXi<1XY<!#(TOJ<&m2YPQv==GwS=XuJ*7ERCC1+NQx@n)7
zF#=#AU>I%oZ+-^rS+$lpR+thSG{5e<06<qybX$&7#1r{J$G!i~F$*IO2$Hk_=1Ln)
zQpobS^99T4FJ4p3(3I50l5+%@a-Y~0H7bLO#KB3KuOm#4*7@mMXbs<jlHGzoNa5~A
zt)BPtL(G#~Dn9l9VnD)y1J;lFB(S9{M`XQnKeLSM@KU!a1MZ1ss7K0*BRgZne&A*=
z^Y$nj964kKb!6>o)?=dB`iu3f%f?=&VX1BW`f^KncQDkgf=vX~)|u+5{O)C5yVAG!
z39BXOad_vk1PY@3<+VY@2l|;>S2bmOHd;XQ2~kp%FhAz4Rzx)>3^H{)zpm@aG6(%E
z!+3pGUi4+o{OnWv&P@9u&MaJ{!?Wexl7CIPkp*qnA66P=?tgZO%WexD=C$2pALVl5
zigDCBm5_1f@|^|N(<NqLys>0v){_IB`96OPIX=ZC>%4B>B4Y-LLuIjfR_xe);DLv@
z&kS?=#~s(qQ#5E?pgsM(g$)zaZKaw#=9p&|Z}V=LG=-2C&X-<aXGQwbYW-Bu0#nxe
z5YIY4Q@D+T&GP)Lc<-Q4g?Hi-lZ+8XCqJ3M<6}+}%)2buBht2=vw4{**1@Je;A#TY
z;~CQ20W8R8NtGB;{llcMcwY^DXAJ787yYyBS#X)kJ=&SF%6zm|=(5-rV=!tm-F;&{
z3z{hJJ6I~tiu-wDw|x3y1eA&)-(BG>xKPu2w=bLxPxMr2z6>ye9kqNRHAVmO%-*EC
z_poDX#C*@YSt`VQcenT^!iwvD{uw9=;KcYVq9>HkQX#-X=BR1Xzq}`+EkAN_<N8+i
zc~qi8g%k_dH7z#etsc49R?UO6ZZm3aFDL+~l&rOS*|3|Z^BG4bA8yrgoQv_MfLWK4
zr%xF>X6W6BAITIz+2nQ2zgQ>`+vM?a@gWDo^`$>nO+r|{@7TI!4?`FfqH%Cka-wi<
za@>5P2(AsF@)SNbfa-H>r#mLOQ1wp7Wc*uEBo*{TG^-jwzr^Z3UV9#tj*yp{(-B8y
z^YA`{>-uo6e%t1w$cro~*(%}L61d_Tuy0UNA6%MBG;RF&aqml?gNAe|<P%KJ(Jt15
z;2mS0Wjca*_^{mC|0bj{+G``*VK+SxvN7WIQ5HtiOWFJU8)fl(LF<+?ym~M=we9>|
zmIx-Ou1^-Jmq%}#g^L~^bYUuV+w|4fqF7ZCtK%}Fh(C6|k#j88g<1a_cb5gl(K$kb
z{9aB4^$pID#d3AwQCP~U<h>He8TOSH>#m9og%^$AR_cPdYvPuY?~-_yrO9ICt{ToP
zvk34{>B5RHU&-YdX*^1#ek$bAz-jie%4&N(sIz2QQlrZvt)0v@5>3L6(2R87dOgU#
zd}Ak{usjag)unymA!B;w);G^1^kK7I`khctMf^1>+fkpTg%)oLT^2SNz;And=XyD1
z^t)`3_RLNPlkD`&4(>997eVqfJ@-{`>*|n~%}-rajz4*-VH*X$8s*=bf1`>qA5u@)
zUDZdQ4NZ47)u}N4W!d{Ri#ne87SZ^^&=9Lq-nPaG8-anthNW^V4OBk!;IgYX1wAAL
zjP|P-Lr|>GCaaSqoFYbqP6|@-O6bu|@g621ZJ{;VjG8z}CDpFpr=r|GFFC1VQ`m4<
z!tnE7GRFM9X7xtd2wm=X&erOiL0@Z^NfT8Yy$@`KoBNFLZ@@K%UK1VeaUZ=Zu~`R+
z%(QQzNk-`QTX;14s0DDlXumn(sf(4L_|MoKGD5D?OT~)jR!|xJ>)I}JJ-li8IeA{m
z2>V@z&-$z|fQmE=(@8xX_tShhd5((Zqv3ghB?QbqK6I6Lzdow2*k9}`p<uMTNa3Aa
zfEPafW`@u8@sZadR?BsUSi$Xj;9`&su&&BHt7qzCu1A6isa6k%GB0Us^8Mpi673u<
zP9Oc_l{eg<(8e@sx4XwBTi{)D|J*4aeT)yx+rD#16J0oJz7)*Z0$H!Kd!w@+avHBm
zm8|>6nKGH9xkh$SI5}if<F1RwAKCR}AE=<4`0(~;o9tjyroDxfo(?_<RPUJHB#&Dk
zey?G5wgb*ETqpGTUmtL^Z4Y}UiM6ftd;wiMaJ)Mg>*h~J$){AKxEv7-on9MgIsH%P
z#ofC<eIlVzXY`@5jXZe8&uVH*jx8*E2f3OP8aQ*b?xg)S7Bn<@$tPz2Pv>%Cs86;U
zu5GcZ(O}FmkMQ1p-}co8vc8`MX<k*lu;plBr`rJ2By7{MkZ>CiNvbgWHLHY|HLq>{
z%qV5@vYU-8E(4@XW-aB-$z#^3Pv^hBZzEXUlfxF`050;E`#LDdVqB|m*(0_=V$W{T
z5)cK53s`hH93h2VtC1>QuSW^Nv%^dmD*}pg+Uc+6#4)mOlR_6UNt|Uy*eZEjL&>-O
zHhlU2__aoy5-~bO9PipX{WqEc8%)C|<;cP)>6mbQ@W?bV8fu~wpKk>XF$3klz4-C0
z=aC;~2d4@7o3HH0zFGn`QS-0!1ULS-vE*Ph$237IY<@_VwuJ5S&AA@k960ds<coa{
zQv^NaO17Y<1q_^5xfG|&hB<dF23GSYh?{q{jkaZ&!z<Z6yN~&=GRrpCdNI!ZB*Y#*
ze^N0*htADaehk?aX504%NpEdO3Cr=FIRln-aHU3mJ-KC(Y2Is)oIU%Uc<U;3=G0X)
z`0v4N<~`0i=40hym#dG42ss(=)b&#|cr5LG=8F0>v)QB9@BFa=qPdnqUv{N|0*;=#
zXgAI@pJjCH4eBGVC0%sf{M-~`VKqx=><9Bv`VP^Vu^!?Ljpdh|x+$EiYkB=vdx$A{
z<M-XKTf2yC)@BE_WD^Js&vnWf?_(B=DjnM_^_i&Eyys`hX#yUpkv5{vJ<QxozETv8
zc7iqj_!uL~81z4urNg-|OwB!7KkZ{a5TS8TwsI~Sfzl=4P@_Zb%nQ4TyGxqyhy-hj
zOT-}~P_gJ`Gg^7i)MdEYhm%`~nBzd&xk!b20eky6zE);up|0cG(@jK8pHATOC@K{4
zRFu78eZ}-2JLc`<UQaw$+ZVax-yfvqo;L8NqK=szMrYZaQbR0`X1JSQp}@B;c~6Q$
zHPgWE>UtehB(x6iu%oI_py9Fq-gJpd=8nUgZ`OEM5|kY0jlKbfFz&PK<ng|z%ts~L
z^$bRz6BO$GN=A|aJgi=J<3IL<DP6`c;L7oo2uUy@+N$)SWK@ohQ3Xti%OYEj+$bRi
zkEu2+&*;JJ!lx_znh%(3Qol{a-!3LZo)+D{psxomu96ua@eZ>kBk9>PdlB)H^|Jep
zFkKM3z)0Whc!Rko_eooBbODhuKxDc;(SejgmCO#GWadw$E)kh4`NaA><+V1ywV_9^
z-@b|aEK`rl+51B`k2q}eTaw>N8`Ly;OH0)bGY@}So^i3wCG<Skeo4Ho1x0tmD$~dm
z=I_@9eZ5T&iS=@}YjPLJVD-o~{_pU9Vs$O|dyl6N36_ecDaIBuY_@5Oj7vO4+#SoJ
z9bnHT$Px<f`lXuiUw)0+eC&DR%hH>&_j$PlPgH*8Hd##=dA;ZIzPQVTEk|@^!^1ox
z!TXHO{nI3H=nEQiB&86vnj{C?m3$)3%&B2vQUi*<7o_@^T_f6qzwkW2Q$SE7o=+M2
zX@KC1o!i$r+$1;(iunXH3W@vdff{BV>TtVl{b$Xw+k|=X@xAqnMa0fGt0!hQs)GRO
zfw$b&JA~DvS*g7npAccU-nFi4Rs+N7<&CkMbBIFG!K9V85~A~1Qo5>>8uV6(wa<s%
zBeKrq`rb_{BZhyU=M8LC1?%87X36;vh)d>6I!@8g2*byeUn_2^FxB(o{B4;$B1p82
z>vDcML7$%<eA}Y}%_9|JIWHa&?&0K;&oY$+$?nSd>rfT=<=jw}aJ`T?I9FHY^X4UC
zoj00WxTp-eSv9JIJBo?FzdgMae;`r&R`ge`qB4klwB16JDIw(k*frt5zEzA*Y|3*~
zg7^yRrrbZJM4s<>z1IFZ;_ZLx?u_G#&=LCC?zY4;V*9hDkCCSv2+};8oW~OdxaP!d
z_Gec);W|lAJJQ-j2**8cdp98ur*?iDST|Wglq8+7&hl<1deur3E>Ps5beld=iZ6**
z&-QrIsI7!R?8kJ!BXUr4^WCpolSpKFSV}$4e@A#`dOkC)l?6reyku8y4WYC>o-Zx*
z10nnDy7UimS?EdjKf{_*M_4<F9}V$oBaC<UMtbj&fkAn5fr}*##5X~*!q@l?!qZa5
z>0qri^zW&Ak|y+u*f|+B?=<n5kojoSDWfJ0j|1LoPUklhd`cE4+HZ6bw6VcBYMc}d
zOB5V1x!OuRm$kOpm(oMT6QSI>KP7>luW~JH_#F|c5|*(#-Al;rSbn{Ct0dg-nV}mL
ze;`N!B#Fvb{lrAOy>D2P1dNq3SV@I#1jkHR=I@R{!sNes)=Vo2;C4Izi$2^z6d9?#
zT2lT_oD7NHv|K6<n%`O#*nGYaQWc4>bMi+Bf8VvrC#d4^_2+_1k6bswa{5S8&8eTn
z!`jR=-6vuo&nDi=qxFqwOYYF)$e$!Kmi=Qy&BUNcQA57dzK_^MD!Q1IK27*7<ovQj
zQAlK&{2;D7K%Ad^ar?hZvqVzT`EvssM1ebh?U{Y{LxkT~x$9OqPb4JRKU3-z0b1AH
zqn?@HiCx0y{R^o}#JiKeTTG9Lz|+&6Rtr|6#P}7#qaI_+MErf9qfz1_5cc~|j5B$h
zi0<UOc60s@;dhOL(HJ5O?+@rbxNAH`FuYrNCLgiD&hU%*^Dl%zdd(#LKlT|ydy(z!
z+AC~u%FWSiUPcIZ>v(2n@XQgRV=M|81spK0afk0_yddm}QEBpYTp+BDp0e}f;RfGN
zrRV5ef-tn;yf?OGiCD=!H2mlxFUTaG6fVCZ0QUU?yPL1C5bNZ*X5G>RK*+4Ps=+}3
z%9Lqm^UD7c_U3G9Ghc*Zwf|7fqNo6{OmbbXm1BhlhoRboFGazKb?6W0DnHEVolN+~
z&kkEZ3eZdI#9{YZ&LuG^0dOZ`h%Qr3;8B{FqHs#VuNUOtWnTdh5v`?6-{yw&kk!Vg
zaWar)>yuLUT>vs$_f!pS-~%W6#Uf8<dEhW+d-eW>AP6Y**|V<~gxN=B0KQ6)U)~V7
zG9m<5%x<cj-5>(@0(aEd_N%}_+d!_jYeXP{Jp4LMLkzf1#>S7J8f<DXTy@$e3J%T>
z*7zAnz^m(~JS%TBU}S0{^hC87>>KJEm)Iu-HyV0BDDacPe}{N&&?O1*G_Vsd9F+mF
zi38VbBekJ?l&fO<XDPTOEdJ&BU3vITO?iG>QV;fRFW*U&$-;v0d)jEG5;!Q#Eq?xL
z0CgL`<Q}(Ggf(a%)iI$0u7ZW7l0y`5JY_V{{#FIJn$D|LJyruU`^w<1U?V8_+3daP
zh&m|dju&w!X+YCrXP@A>F^Io!Z^eh25aJqH!Z@!9w{Pfu>fU1tJU@NvCl2VqL1oJ|
z=Wb|0mTHh+;Tsyb--fqhLk93H@N$Dzxegp!7+&z<phK)ChyMhN5tNObKhFL|4=fHF
zH0vzT!A`c@Ww_r2>gqn6+%akZ8@;w=^PV>cTQ|oen!<GO{~@}2buR@X+!~YTvdy8i
zV6Z6vfF-0w`(66Jjtbid*6ptP=1|aaW@Kp28sz#;n9Ka3LTLUPc~Mz9tnQzVF*37(
zdrFe9a>59-SvA(y?xI1mA!gTh+Jc^3<F|-vBe=h3t@klW6Bwfm?U&iK2Fx!0G?POk
z$V*zwz1@il!%Y>=;W2B0!fSRS?647}_n!?4^7zMZH8I64JMCfB-+*u(qJl%EU+0Ae
z5(IB75^Dc$4^I26BqhbDFsM7eoP0qE3OjeHS;;s6JU)K6k&^;EnXAn!>&2k$IkIRj
z+rw{n^@rqiec)2%?5)@RLj(-_dHCP7huH*Uv-bl!&_><&@R&;<^Y<phtLp{qVSA*~
z^iCcvXo|WwcWja!V}CeJnfa`R%LhHO(iBPXM&;xglGeXFpQM)h^wt{q{n3`E-b@X0
z>PK(Zf0Mv(x-&CT9d?ktUGB-YRwd}V_1SF5RR$rzv_eDN4y@Hg)_m9}3n>hSp!_pA
zbl<^sDR8STJdN+?jSi526AdSgi|iG!=<p5S)La`db>aP+wO1H|@A!$77%8HOmL0{K
z#|G?s#ET0)a>2I*b6xfOikJ}PQkHiR;6s9VZ||Q!L}$j9fb(^V81O`6psbtt=hH8B
z>${W0rk;Z}!Fh`K(fLC{`44O0F}*)Si*F(v?Oq%b4_CzGs#mO%{MO*5;~!-BvX`0j
z#`9;fiX!$~)L8GfVZee)w@1bG8K&x9wqe7!3V8IK!g$1aE10>IXfs{8!pw<&Z>V%e
z0b7T&rbvC35Hfu*HE5O<Uvth~-D{_S7XD2Iwf2@!9sK*u&KsQQuA@@HCaHj?;daHX
z&n>_qn(IV#9}m9X^vud)MIPObS(k{=EWndHyqdRz9}8eL(0WN8E5t?aCs&z+XF*P#
zTdWX9w6}SC2rA$`*V+rI8_nUYbg@y_aS`-W$gNkjRKV<jQkjGwbWmx17zr7oD8_p3
zT;VAN{8DlJtxy6T$ePC-*z?7Z?sF`xzE=SyILj)(nbP6a&AAGfTyY!_ZkccORK)7)
zdcm$AW+1iiZ~V8L5*R|#QDq%gL@VXA;Kdv>;A>3PT8NWGhow_-J1;0<!RbdoA=nI@
zQx-Pt50S!KRcl)s?39tar|ez3kr^m)`j5VHl19_>8|eS>s36KJyA5!eL63IVOF2Cm
zoG!L6SB_M{LE1b^&HxQ6$YKg4L0ODkH`XFOrGkm&@oZaP(cn(s_e!@ZStM)4hV0#^
ziibVp{&Rj#gT7GShcz8?nDjwSS!`YvKYQ(rY%QX}$RJ3WRm-DeB%e-qv>I}~u#?j-
zp@Emvjy*a>3g|h`aw<|t9j$MF$}VO8`*%_;HrD4TqJSJjVsEB8D(Wqr$?Kp&s7|hN
z?@cA_Sne(prfOhpLfO4_OEge(j&fm3S4KI10jZ>F4a{%JkbACS2Jz#6ZHk;!Fx2mW
z>%c}5rf#GV{M*eSs(pbL-lBqel#KMA4icUUZ}Bp_Z3fThm8DK^P(`s<caCa$YT~Vn
zaX$se%-|+tF@v{N75lZyH^3WB%)gd2WNJ%?F#QXsmz~vcH7<^JlSamkiN<=Q96Edr
zcX+GuN)5+fsZHL#Oh&`@$SyfSbGReId_c2N$43`GM!x(^#!YKHU&%$A!}@8-JJluX
zctD!dD@i~L#U~YhjxL%*K+&si8)Xgb&DX5`s;z}xr<E+k4_kooj<>U#r#0|zLh#A=
z23oj%6YrJYMGKhj-<H|ase#R*yHr<YwNN_WTqN|kC4^6y4fc{r=+5={di*FEZT1St
zW&O2;kz2T}Dwu?Gc}~;hEHcJyU?18PZ3V$Hn#)?(N%*cbMR|)Q8O?I8=vl8=!7c5z
z_52ki{95v9*04$w)9!njm_{(*Y~O{T#1<09vl-sIMb^Z`s&l_(yBQ$Eafw^y&A+-W
zcU;s?knm;d%XKUaYpDM!boN{&34i#|)4!nxu6weJm2t%yoI5-B4cs7Mj>^@<kOg%#
zzjFHAp-<Kj9C_RJ{%#WH@1f1-tE%JKeDg1PLIju;TpzuqNkSIMTQ{ECtKp%n^n8Lw
z!1|epn1OZ;EE?f$$k?NbZdYHs{@Or5PpNoA_Yn<zXFUCFLy`&_c~+cRaVJ22^J_Lu
zAq|WYtL*+5p^PnEYigJq3GkzkM9$w(N8<~ZhI~5|@e3nqGp{)T{f|_l#+B5uB~YvC
z_2z&3=Z6=^CrJWwj775@Gt@A)igWSWs2uut0*l+QH7x8(j7yPLL-|OXYQ`N|Bwp>W
zZpya?U8^&a<(E{EXAk$F-ccEB(v;Lq47P@(vfrB$xK;6(|54t-1JWqB{(R7HIcvC>
z(4EAL`8S_0K4|bKOW}}1)O1KA1GbqTqcr_e#+0asAFqCt#Q6_jS(U>X@WHRPxqMj(
zU4E?ec9}^cCE1VSB*Fl*FxlxEE+x!~F1`4+N&+*JvyJ%+tzes7>iCkfA_{Rfz2Xg!
zz?mu29lM;Yz@O)9itIWC{D8rx(^?X!*|O)X<*+66s<w7qijl|s@W=e``6Tdhmn~OF
zj3sac8;cx!Er*+2*1jI+mcX<)zp#8cOZXoE0RR6Cmv=nWe;mh^QbyM8JLBB6N8Ft|
z+<lUf)i6q^XrYvyq94jCDlM}z5)m0qsdyKX1}c?gw3Cv|hV}dYd-r{O?tS0S=kt8M
zp7UC+AFSa}AvubXn4y7(1+#DNm0cGhCxhdm&od~{RTRY3cfmtzkL~!(8WFN<sfw^6
zQ=qav`=9AaJPh$NLzey$BIEpvrPh^Xkm{W#x&6RHr#dQbJ}yMg8!I9|t|LRcpzwu<
z7Xb=KGlTTaglKrU^p+-p3>Gd*az<|nP@`ny)Y)y00_tBIzxhmp;L~|KCwCE{$fs>T
zJINe*KO0`~u9XBU3{-@lRY-79$MSKasX0=h4@Ue35-6@0-&pg21np&xCLUh|$W7dP
z?9C$*c-m#8m8Ft_;LvLS_nZKo3%vDD_>}~=m+nV9H&S4UbYX0#mjKPK(C%u%=7AGe
zzH2O_LegD*EoXHBI>Ya|YPgmRtt*1{S1zT&f0zC+AAaT|ZSTw+VksGJ*!xDsn5cny
z^Y@!qukn$&!hb86@)QW;c-E7}>M&LoaQ44cJ|cz$q>si@fSuT|_rG--u==h!H`||&
z%BCh?QKYHhe_2fI*{=zf0sP6m&U`d|=SM#yiwaFIlJ=ZgONSPZXBOE)K8id!uRcXY
zgP8oKewW7R@K9>tbg&U0wI?8I<qsOPnc1dypVk6(>9y{A4f$w)@W&_bE7agmthTqc
zkO8M${fu-3e8hNg>hsEIbx3|)r_<WcfbV*n`C|@zq}-WoJ>{kWt!dY`GE$h3*KWQ@
zjLlg-x#DAkxhD8E+*#Xdzyi7zO@B)|AK`}zDTO#XOja6s%|2s6)c2;s())ZA^LY5l
z<S{z@un@m%4rN1#a_<q*JONVs{IhG%5-n(_4}JM2$AM#mICGYh02w@*YQrDXg7nVj
z|7LSJAh5MeTTviD7YGvv3X~Y2@r^basL6%YQL4R{lsW3V#wcn&&H(C}F#FI9F33LI
z6VkcE98GXi+7y(Tu!h~T(BU5!F30CZjP;qLmZQ(z`_h<TNe!E?=cEnF?#nByyoIRh
zcfq2R`7DSuy|5}INgJ*f%gEIA3(?$YhENj50?T_dpDIhVp)=1bBqmUV7#w{Wvo|al
zX+M|qra~J^t2xu8-y-yv(EQ{ij}0pdYR~v)YJ(~IH4~X^fi|cG<YXqXq1Gx9w|cWS
z^p0G~cOY0Ijh&n4GF#X%;yk@_hq5+o=$dL^6<VT{Q0r@?e{8rqyQW!G$OX>%#N1S_
z6&lk#Bi}{ifZdnBNt#41)a`W=%amB5mxJ~m@AWu9a^>3FhhpC^qwlb$iqW&xk)%^P
z9Ow%<AS}Ah2Isq(G_8YTRDMp`xB|}s*G$`yCtp}lJyti<@m7pd_(7!ALu}xu+#7zs
zm<3Dj|CsG#OVH1~`<oVBW5b)unDBLUChRgyEw$bxK^uaT<mv<2P^?2<@W_M#0SzZS
zwx&qXdm|{msl<kPZNuqLmTAEPAB6?#c@k72NKH(+$O6~6=~s2`ba=0RK(o3?g5Ejl
zGo(ye5a_ez0;^X8zAnizhHMF{7-IisTw{XWCeFi)Y;`zm!fcYnN{~Rtj-X_~gxVE!
zdjBEp9)ue!`Fcpu>oCjd;d}->Js<ZdLY@k&McS`oH6<vlK;z_)B6d#vKiqs<O$M7x
z$q2qrjCN-q`K!KP3%-0!-mx);1gaO*;z~}6QNA2B?fXUt>udN$q97t{7*mbCE*2xt
z+YznLJ?U`H@^JmV1OixgJ=eSW(F#5B9<e)<r3t3~^B*MN!^0}IZB_~iRw#CC?C9+j
z4G8CDrypS9LH>SO)0DauvZ?*tl#-|p8=j>V3CnR%NXZMXzHW&cAFq#8JFW(y*LIi=
zy5S&oCgrBU$r9xndM)Es&|uZAYLoM7IG7%<Nk7<cftHH(B&OX|*mAsk^(JW?ct#%A
z_7Ar}&m#Kd*fc7*+4wgzWpF@Cdl*o($O3gVuKv;<Oo6GI%QG@e9GnTAdD?$ggko$*
z*4^qN!-=zgx0iY1fD~S}_ll_q4Q^ZY+!*7Y<s5;^zkq{Svp)X$CqmSFDsR#H0TOJ_
zE~i8+#DjsaU$9Pq5T$%dE;3Fhf!oOmbUPXkDcLb^Yh{EeYPds~>qr9O#)t3z&L=>-
z_vC`QQjF*MZVp?hBp9k#wA=9<0oLa`C7oDlj@Ip(lsL{3LAed@F}#8ZZ6~~B3jYXD
z@8i}z(vw7ZWafU_Wg!XT7&eO>E((y@P&~_O9tldd+Sh$~MuHBDD*=NT&nK<6JDk@f
z!CiIz`c+siWxK3w{E8DGr{iV0J*%;K_6+sw=Tg9Y;>qEX=X{iwLW;;ZO#<2I{cLsy
zmWOuVCepL`C>OW(b>tukRxe#M+?_{*s5<gpl`VX<6-SC=yOKfnef!b(H`HKfesgjj
z594;jZFz^sWH5*<NW9Xc4xR(Ysg+86^u1GIWt;~Ec=}IC=an?!kYA?o?g$T!NVZ(t
z@QVV10n5{YTspY<DXY5l@DN|gvw!CqDmebu5M?}}Lrjy2@IyNfefD(Trm>a=pJhiX
z3-)M%$;>C5^iv+Hf9uiFp{WMma#^T?#enp<y3@Q)9tu%?KT!W$4Z1^=EQ((;phC&Q
zZ2B_~U8!LQ&S3LJ-e;6a4l$vGe^2)Ld_EeBePkWhrU4Egg`K}dESNXa@sq8`NBY5w
zYo0vPgy^c%vxDDRFn6jT&wUdgRS!|GiUa7dp#9lTY7QHAjfy%7^Rb-LtvdJmCmp^!
z%uaI=2X-<XeT;wbk=a{%D1EOMB=~*b64l3nRpH&)e{BTF>i9>>yZH=|>%Nt58p?%;
ze#C1k!}eG0`RA)g8Ia#|C&P1s3&%u_3u#ny#7lkIr9{GbB%V)e_Sc5jCH!?Z8Rm!-
z7c+>?F(GEOn(NxE4Vq03sUoTnX*54g3DsbM`TOO$!*V*nxETMc<f0Jm`&@dyI-3QX
z08Bu$zucDfH}iDhh?^Uy-$H~`$M^1?l4V1|yeY2tavgZ2@%{JLP7ykLVn)F+gbgaa
zQ>;1@9l$AmTO1Q&fimtsqvf@-A#Pwtde)pakl*Ze#3@*!fuP4yc#OAk8FyBOV|gJb
z=rWkSV2M_+c0M0>;lSR=z*jZq+8`WHZ4WiKLP^;H<qsn{VBGxq=%r#VRFxMGmo!=-
zvZLade<}xBg~|6zCpcg;RY;gvE=G+{4gBQNI8dN4d9N4Cfu~PbwEw&zMvr_|54%Qj
zV2y#Nk&QDOoSGLj#ZV>4#V+Za`zj7ttgaUA@n*sJshEJDK^V8)5?<usIMD1G*u8Hf
z6O{T~{=;3CAbs}5Pn2dhNbS9Eo#Mp+bkLC{>Xx9<fhl|5Ha0w*i`(Ajt_7c3C+KG5
z5;VtN;af7nf>qmcg~*i-iLGhnE2kuAuulJN$X*smlT?x$Dm6gqiQ{jZUlOEADhX^G
z#(Ksd-B%VJYOuj?M%A!Wg8I%Vgj2CO?lc%1Bq-5fp^v*_K&b=;$7?FoH#5LF_HbNn
zC<R;%OjjP<EkTOguC7tnVZcvyf7<DPBv|;03)<Qk|CbzIl#;3iMmO)!qAG}Rsous?
z<+T_kKUu2E{XvJK=CuJw4-uf4l0Nc%zZfms+(@2YMF)XPkImm>c*wdHWWSCkMyAbS
z)dj(tpm2ZJ9q9%f$obe=zP@UOe&xORv%^sXdQOgibs^y(g{U*vZf}M5R8D%xn5skj
zhsC3F8LDurP{B2!%M$$ysx7P1Q-fbWua%FPtHNMumaekDCAzcdY89VP1G&z#Ti(p5
zz?~jl>4<R)q+Y&oe4#rPcJ=t}T>C)<0_`W)9X()y&b_@=pr1^E_Z_pg>Yr3#tBzZr
zhLQ#HUAk{$;8QYeRF3VPlTwAqb?>Mz&WVtwBH;p0mkfh?b>7o_Rge^fsUSlU%IHe@
z)p3>tTffnKZ4*`Dhg)*rAYgr-_3p3}n*?J5CpWvVs&K=~hUT<Zh$M!BsN;=9NIe9{
zFKom?ocWi3Pk)-DV)^)l-BCn%x`-?<{)U4OuLG!WQq7TcjEimoB7%EF(QkG#9^1#w
z^PlRPqfa_FHa^!Ng6>1Fv3xTE?2}R1w5VNx+HPlaFR2h=;KZ`OlyL$iA8r}{6eU2-
zMr?d5nF!5>$~)Li*zYU4tZQTokoI54;~l0%nEShYRqzEYm+*fB=fA;t`$>kmbu$r6
z4pT>No+iUU@tKN+C;3SBjdG#x1tOf{6}PmWrhwP_?zOx%e8gUrxuNY35h7hhjlmbF
zVAoKK=7@Y0c>1sJ^d=IV*dTtlqmc$5o%2t<{>VdW#DMb6Z%D8+vU_6th#I_0-(?}J
z<)LfVqsf=IlEJZ4r|PGH2HZ+mEMIb(hsutVz9-D1fVGcL(Z;=+u*q;wLdiZJiV7Ya
zJy=D7K_$fp-~H)uEC{FF>d!-_Ug`ekyQ$#t;OxsRiWbygnXxV0#6$5YW{a8?4XB|e
z&7mDyKyR;CZua9L4;qD>N>hW3G6$1{GzJ(lIAf1?^HA(1#fLW+tAks>C)XSYCNxFW
zj@YK~knO}<e5JGo$d#<Bw31~(^iGo*DCePR=d5<Iye7OMzPnKMkOd9I0P-y?k7)Z$
zTW1vM5N|${)Q|PqJ%j;qCY6s|w;otVJVyspY1+G;Vh;TK&seT#8y{6ZF7Eqis0D6E
z7mO7SbKt!iOJBO4kCw-Bq<M{6K-G4#JebJ^m9R^brAz_3Zk*gy>dAnSW53lN8EHdB
zOrxt~rU2!iKX>=?5CdfL4<ty}YQw<JS9Kl)?EJj;e0ne*>+|=AoX_a#fWL+Qyn%dk
zRPuO(g-D47y58aCv&lNJeJ!W25%W#v*`+lNSuA+#^~tH>fez5uE(~;jE<{Cx6rcAb
zHr5-y8QuM=17m;XsuK2yklV?MO+H82;C}bnN_Xt@z_g|`MNJE2q1|)v#{?VJa}^nB
zjXLn!)1y?}YJt4QHLq^OxVn(>DpVY!1IKrVQ<!0vD0RZ~d~p^Bxc$zCc8WUSw`5gR
zKG6z&>e#t!_z4F(qaH3v|4$pzR~a2Wgz=;@W%sYTAr90IN$Ig4bD`HZ_)n9q7=5vK
zkbM8c0srHXQU?Dxz)v&t4Spm>OYXvz*VyyEi;JGLDq?x+n;i37EI|PiHd^bj^&NuS
zc8@M$!}4bDIdP!`)%g_|H=pK!_2TWX1T#$dXi?o&H7r3KgOfV*R&c<w=<Le_9~f{r
zaM$|_c!b)v|6H;CD;qY&th0QG?c0wdQJOC}2=nXL8ubxuz`=vfZ6z2-A15B%XNb_G
zj;@m7C=1?XecAC;OA}Vf<jIWcA!MX4vrTI=3+@N5CnqgYht|4BN7^+Jy7Kki8Iu+!
z6h51|Q%I(PdD#3D&*Tt_I{6@8k;Me0>8-QgfdX}{RQ1ZY67<UAR*`=U1EwyVQ#Zx#
z`|sf<|DsbE|DXM}>uT2mnOl@dHGLvf45;QrNF?a<J>R@nOf67#x}SUW10LL+8viYM
zFGh#26g?~1M~9NSuCI4naB$$*VSD>%F(S^ut)dc5NS^-J+1srOk9~C>bt#CE-M@HS
zv`qu@YclIysjBed?)ek$xmGB&s`8xSQgv9fBZd7dK?Neh?e&-}D|DrLTz*nX4f3x4
zJ+4Pkfy1%ICJE)1==F;YCHYb`kP*D|ad@l@bj#C!QcWz8b1NaXVIdW=%BpW1C{l(?
zMakuQH!TpVmr;$UQ{d3<@n-ci%COR@#ffKSfxI>D;j7k=K{>ZN?r4=V1T7w<csGgA
zmmL;&9_5grW_8QRo<3#ZUcQbqcM+km6Sw~<{v|?=f7qV}whAb;j5@k?2~m0!k$W(h
z2(s3dYfoYGLznF@=5`^9OfkAEHA8?Gd9`YrCsknm%|EmF-{$B%S#8F?kO0c<_YFSm
z$KH=$Qo^A$bF?yB$9~S60GH1;X2=n7V2gIfbu-OTL2wWo^a+p<Y%Ny2hXb^e9JU1n
zsL6jwN*zalADESR{D+6R3+P0&p8(yvQFgdQkpQ|wD}(nq5}+d>?RL~60eX3t+Bd9$
zt#7BW(?FXDaZQCr*RSwVu*R_iCzcc7hMrZY8<7MNvY>PV>*t;M?~L{K6To-bdxO__
zGW0xHb8|PwE4vf-incx^fUKp4V-=GEi#JSuy7`)i+(irQhPXsfxG?nLg*6rCI%{tB
zp5dVe5ABiYTq2ZMgoK%d(O|f4arAnO&&xh$Uuwbp0x8z$o~u!Vxgige%OW1inac7%
zc9R5GKV|)Bk<x(ioF^Z)5P9fVT6br%ALa$G6`97HG$A<BEm~#D3_V==N8MMQ0v!g2
zgtFV|@Fe4@(Dj=c%37XRT{lR9b4tPI^|AA7f1>n6>w7b_*(m)ly_E|2c`u7>zi5GY
z_nZ~|vl&W_yP`37lLldJMQ42~8Q{e4jh#1chUP0~-_ODPB;M7imKV*0|2EHxNlH9)
zF8%p;=_YkZS!+9Czk&tTr83hC1U%%j(L{{z*8r!B_kUj_vf&wL+RiVChvG`Vf6<qw
zL+tstUe+JkU>DnQ_i_~vQH@-q7oVj=`B3N%k8%!#%6tfMnTL6h`)(fvp%!@gE%Y4S
z$%Tg5>c)M3eDol6Yr}XKmS=m<us};2jAkfO{0=^v`j<9g7tMe&n{}zGt=b@Ce1DO(
zivZCkWe={RF+p$bKdq?^I`Cm$X`4cq0JQ|?ZDiCjA?Rjo)8-x>K<vKsi^1mTZS6Xh
zJa-l}>-SvIL%NXrwq~?WRfxXOzA?fESb)BK^YBU1g?BeS)8iV1Xzp`qfKE6Y%4IeM
zuPN1q45RK%x5Gs!t3uw_e3T8{cSJiTign@k<)$;u`WEPc(XBM4EgbNOOR)SKqYFEC
zoisc7)dCT$<~Eu%a$v@=$w*E|7bcgzJKJ1fiFmDHFC3M*uxzB5GgqMlIkvvF9qv{r
zi?YJaWd#>9H~78yy;uiQB0^r{q{OJq;I8$dKrSRIr%ne*w1HA4og<SkMxBgiK7?^W
zProc&)tw9Z-JQjLh7!~i9NNEZ3l}DCB^38MabQE#^Fq6F3GxXde*7uo0zG=zw?v-}
z13$bRYh)3MP<QoSj^&4@wJB?Knh6H)RqGR$A{5NN<LGvt1HJY6;b$8e;Q4L)x^t@#
z!U=9Oz>EX#w|%7JQ?%e>?&ZX{z6d?x#~5F{$_8aMRz3^s%Xa;mrJ>ugbxdS;q-wE2
z@e4C_1ZjYkbrtHzo}bN}I><Y~f_ix=iC~@@@T{M2`LG(H?iZgn7QSS{DPt9-Jzpu{
z99*LrAV6q-fx_3<T1?nycSLV7*5`L8BcJ^QgcyBa=645RJz;5)qq7weN`G|=BD*9g
z&a!Cn;mcZZWOwjf%T+x5ww$m(uup<^cbthoJxYh!<bO*xVSQCJO!l!?mY{ccwx0_U
z(cuh#bX%6CDm+*o)YOqDMk1!wy)Z>h@YBXSe{fcTF7qu)Qyek+sCJ!Iaa|pD1r470
zbVM1F7<J3SE?J?l@YJz_U22fcmfsjYrUYBOD&(tltx(<?^2%4{G*FAWr|m;mg5Zen
zvVTe~k&&{Vz72&6!F669?{gGkkK<A8Z5&IK-<CMyr%ZvPO%a*l>lNWL&(rHukp)`J
zUxDLklHn|G@b@!MMF^m6nh`TB(2ezW;A=;Mv^$rCW+xTl)%TyfHP4F>|8Ch8UNRAg
z2PaauODRF(5_S}kB|<y4-A}yNM}XtW_srhpDFIvE*rT9Sh_?0Fsr0TQK$Ak0`wKH=
z2)m}dO2=4;6t_C13*X?Oan6C*TB!`I({*(!x6P4lN3$p>8V@?0!|_s<DsXD~-h>(l
zbJU>G7XD``9?C1V9!I@Z0f*#RzITrRO`9ED<2fG>Y)<lY=n++*5MC5-3>P4^^P8_o
z58$9vm}DHh5(l-Rs!QdS1gLm9p(pYq4h-4@ELmE3sI4G8uBqaqfNK}PWE=+pVeb8*
z3ou`^FT7sj!AAu4cBy6x9uAIlpYr}gfVS0HTFWv1WVdarZ*{|irnK(-*=Zu&tsKn$
za)pPIS!P~e3-Q3oPM1njC4+wQu+yI%Jfxm_Mg6%n0gevq&DRoApoLUsF`&akw@C*F
z9QG05WxaXpR0tIg-(D{^{$++{hc@?;<`aSHoTR5;M}yA+k6*gin<19T5oP&2BG^eO
zUoXY01N~KS>*v#ENSPoo8FwZ@_T~0T^LP!2JeCj=8)1g-EWN`jP$Wa|eHqVf)0%K=
zb?b@d4QA-ob*GePAIQL^I+QMLqQf^smzzOr%+T!$9T{OO1-3e^lSw|I1+{+6r-rM|
z&<+R3)S!D*7>z#Bv3?r^m|3^FpL&@g*_@>&y^m<1$<)d`C1!%Y;j4V5Ff*iC@2K(Q
zlN#(=cXIgy8Vd%uj=ZVOG())_8Oy|q8gMVz$eKIFf}Y@46UnV+=;ePrr(s)7aPpTu
zmDtUOWfr-UTzMW+^whvHZ0YbuJ)_I=CI`+g&kHd2;i1{;Y{<j>TG4%fg6J3*qW?=;
zt#lXji0obIylgFyT~UxR=B*7`i5Cr|4Eboxv^O-wjsaj9lozaq_3+S7o2DxHXuaG$
z|Evk@zQ2tr@p!BQnQX_@Vu=9pHrN$a7BL|uxwA-mt1f(Ft@|YI7a+aDtemKoEVy1=
zQdRw47tTm4KRI>89C@9NeGoauf;J7$1Gy4CFx#}j{+F!~9cC)M{+-SS58sXXR{Qke
zpoL8!SyqIU4p%j>wK#CnGs!74RS#<8ew5n3z`S7Jw_msm9Oz*9r*03?gV*_1ON50M
zNLb?&^p?PdE8SMpG1_`i^5EVPVX!3<ehBz^JskW0-5dIU*66}s|M{A>LMt?E{k28y
zHW#~ZEBjrS=t9=U=m!Q<R_M}Ba`?bEF8GWZo_%hq1KUKJ5s#|Hh}S=QVD~J>|HBEZ
zjcv3cX`#D=?pg^dI&I{B<~JAmT*C@VwYlKf+*H%@Rf6&-@vMa}xp1cUrdsVUHta2Z
zsON2hP|uO9kV(wD1h0-gZYg4cxV18G%VvaHSA9s|E#`v%7;WoA%o9rs2Fh0@BebZ>
zN1yzZ1N}CebRG<90mrJxz5gsiHQn>V__iF7X=W{qKSqb`KUV&<C_!l1PtTmxGB&u-
z7iy9AYJh=l7G>x>LaNU7Y_k~_w0~OnfI3Ely$#VB4^Lsf@UJ@l*m4$>-?6%a%cel3
z9eJv6A40pLU9uE0ze`;8d1c;i5;RbkrTVYMyx`P}r;Hm6c(zW?dnkqg(?$;mDs&OD
zE%-+uebWMO<<AwP_i=D4_FK{)%xjt{Np7<=El^H)8ee3i3Xg`iZ!n6Jpc(j=UATr0
zOBEh_x=5)&=fr*w&xH~sYZx6mNY;e*BPqW=d{qLsVGo<kL@~-+^dgjVP8}XEru0||
z6@h?zKy90~Lb>+Tz6et_5E$n)rVc5<Qp03naikU65t`L_zK;rpL1h~MrsW~(r{HwL
zpe0)FWF*^FK!Kkj2JwlT<RK*Q&yMVkmT0lfyzY`1GQ7C7U1h}*dEmq-AAR@S0*RU)
zMyQ97z|_Zr)ix^!H$Ez^G+1GQJ}cCyzKJEmkal~%g@HWSD2Jx&HHgr&e^tHYQUbX7
zPUQrjl!x6xcO!O~ix7E>f=S1BJPd5Pd<dtb0OD~{g5Nc)=O^QGZ#v*%=|00{1wRxZ
zw=hj{kEsy-@LIUc2kYz86{1|PH%s7Dfb8(xb#oM^>Yi%gii3YS@+yu$6rpx8B)eFe
zqgw7j-=Qg0h+NQ6k)fgt@uXb+iw^|I!GCE%;~gwtZSmU1^~#X^Ws$0@2Nv+}u6dhg
zsKV{xUZda`6)<6%-8nhHM-!h4yv!0+Ax-y!tfGS|C=MlYtK#|S+?Sn|hKE(*W5Hg=
z90v!CkM(80)cJ_C^8MSKB2_rXJ8*O}0S`R`l|{wCLuow>o4Mzz;8E@pxF1h|`&JD~
z%s?KhVEx`ch51RU+&yABiwM>gWs}V$9@=8+j28#vK&Hl>wgJo4^n~2@@h4`8puY3$
z;kP)@xmg=66HSJiq{=7s!)9pDBfmv8-grozlye{e1&;KPm0O(6kZQvp_l#jYTojUx
zK4U&x<xjX5N;X5G;yn#oSp@J}^E9I-Q4MU4j*Qg)Fhy-~FUIX$iSUL(Fie)#fVPR-
z%a%VfMHSxeW)pN0#P_Z{Zjhk~M(0D+9@Lm3+h+n1L7EJ|tNi+oVZHmr@9OY{7fjKi
zK*9UCKV+zqRx>h*(gK~iZScI%6m1^5yLnuS3VF9&g6^+pz`pgnaPk$VC^~H;Yl#{S
z{s#a6|Njh^cRUq*6vnOWeeKP)E-sgQ?QzdFqEtqTie!{Rl9r+nZ*~%e(m+L#k(H=>
zl2H<+B$8DcLPW`a{rx+CoX<JG^L(F2`l*J2sSObYQvIego>3uya*Ln3K@MNa_WMx`
zR8hKYsbu>PDp+ld4^E4hN5?<TZoR5%D7=Sz(o}&4HG|28OWg|ScyRvYq?9_+&kYcy
z{b-=wYy9_=v=aK>z1UF5r-7cftU7fMX^<nj$=aqv2^06MHdV}P;MK4ro9h(~;S5VQ
z$|WeH(LxbHYfux@!gRN$WE;Y`IVt!*I~7dqRhrGKC1Lr>X^Jb+2rQ?Citlp}@n7u0
zD_Uo?P{Qc&kshWIgb@Rhjy@w|`S6*VV6ry8=w>V)J7^3qhmINtM5&@hkH?8uOl?$B
zwhCs`HUYEadznp!YS_njf|jqRgOl?CVUPZrz^<kOvG~twXg+wWIP8QDo;S|&FzGM_
z<=J3T*njF+>{~r;e^CcbP6{@Jl$ybwk-Ha3QX07RM&dksqz>+NSrsbFFo&p1{yCen
zHIR6=-k@Gz2fMEONj*Mk0hY^pV_9sPnB?1ei|c_l&YxyKIJL_X*shi{_}nzHw5au(
z<FXbqOPnJ846VRnV4_GkNfTZEJ5A^l*TTTD;!9*!Iv9|mDEaxCXxzLjb7^($U2H>2
z!6Q2Ct(<NS%+*8z*3*hzPuKbqo;=a63$WnC>>W6+iB0SF3vv0W;}VBj!sa6YHtIK3
zHX3N6ip{3npm9}vH~8aD+FgJN-lf;CJ2i02iNp;@0*GjQWwfjFHNf#N&E0-38u;mf
zWyifw${2piz~{|(fE&uHws-5)aW-9$h3cV%gc$#ho@s#UT_1!$@~NZ8>%O~JpU7j+
zubir^aR5F03fCKsYS=dW-d1o{2G8I#Tjf502g)tyKSipdymq7S(k>~~i2tS0S`Xm#
zNd8=A0TC0{mrLZWh~v+kYh@f609pq5k(JL>(3!Jt)OMJFTNWR6?)3ps@pRRlA5zA%
zf}Yu@IYlut`_jEIO@M$@h3CC1O6b^qp5uIoFm`-3+ev>*2VND1Z?KXQI_w$YFVz#o
zNPWkZxJ`5@E?r7sUQob=Il{f16+RpUju{E26^!LG4*i^#!@l&s>Q@Y26pYw8wvKEC
zFa3gxx%SH<-?yF_&M9u}`)g`I$hL$D^NP*Wf25I9D%?1Hl?ywRh^f`AmQYWdu4ug`
zh0?D(s+{+6A@k(93Z)<m5O#n0hs8${FJ)P!Da&%9yu&%=E#2l&#hGw98YD1>pE9Z@
z&V?rF*}FLz=8!7mP+e*vj&oc8)*ar&g-6ZaxBXcApBi3u{pYud;en}|6a0_3P{ekm
zJzUWYW=ovIyORj$XZ7#WqB}R9_#n<An_&uHenlKx{3yD%N4et+WgdK$KD9@U*A#TF
zeSPZWAd2@t6TZC_;l(XGe4_^AOhBAdGM=+j1U2t-OQ)*y;qC|TJLB0+pr^J(b^Rd`
zw5V<)Nqh0*TY)rl_jAV3NY-OD&=f%l4#h9Sl>+!KMuQM1U<@&m>FzWCgfXzux@(>!
zgz_EBake=|uqRGV4~K;D#)My4thX>KhY8fYCK<tztcCkS1HzayWoMLaDuVIerCI(=
zL!e06{dw?P7#o)P*2fY>v44(ufw9vNRC6;c?#qhc^PFpgb@BvkxD(7(zCeTRuG0Vc
z><~evMbh)PnqoM3BxIB&j|PdX(g#i!i(pbkg3wtzaWq{y%$v5E23HfW$~_Vh#iWn6
zTmL&Mfis587G$Bp*F9nPSyDt%`exLTf*MIQTbgj;siy)j;gcfB5U@;T+Ao)18d*N{
zS&l_gK~<ZFa;AZRDpc1;@+V|4hX3ow+4WQ)c{eL|hKZr%&2O1ie`Rr2bu{j!G!;10
z%uYF5ieq!s`_RY9^7#5sS&7PD1Ms_2SEeE-fj^q$l3a`wu`Q6C_q5*tChi*V^%0W9
zqleR~q#~5?@m-#_vmFLdSYN$GMp6o^9SgL#?^VX=_f7g++YR8vk-|W0sx+Rt|6`N&
z4i&s@*e0sqV*n=ge^1=?lflX#73;rmBcc`2TZ}Yi05z|Jl71G-VsE8Z()bQl6nA>`
z&P9p}slNlO_N>aGXb4p$!cPrvz(tp4XDaj(`#<s?P{2O2&9q^tI_6HOKFYd6g?oXC
z%Q2r7Q7hepL-n)<`dZ#GefgIPz8*p4hia6t;7)6P!8uJFj^puyeKZhIIcDz`ql`I`
z${TzVNEi}M8_EB%#+|n<d7qqB@IV8_di!ZDJbP1xduxm#{9s95l_wHWQSj{28*gpY
zc;z?hNHzk`2!-ONKSaDDF&UUn(n0ShEQ4GVMo>0>!A7=46_aKo;=jGs!E;5v!h4y<
zaOw((aHp%GA>%z`-kppUAF?e|@=d_`%S5NdR&_kAJ)0p=M#iXJZg)Pd-BED#U!6p5
z4djXG6`$%N<4F3J%x`IC;Nlt6e(1gie)VtL<nx4#3oF$bffvo;wwc18mzJ7%(7Puz
z<scc&l~0z1T(*Gci37ZK)tY$hB#+dI0Uc!1esw44vL%@MUmmzBLc%uFwBMd0YkewQ
z>yJ&bf|HG^C2m_tsJ9#U{@~WefXS)Zjxai$+r?gd=l}_~x?kY1X(OR-ge;*)8Gx{o
zmh9w1!X=T7FNQre(VS=BxbSI!oy!NdZZ;(02a?%}UYk1FJ`@P&djU|MyQ%NRs3tBs
zq?atqso{qoBXk!I23)*nb6xkSCQcl*j_Te+MEPqw14VTia86<|;nRo)vexz7UZ1Co
zJyl(bn(G;GbMl>;h@l2L{KzT`?ONME&!jZ(W(J%{QP8LeQAcfSr{#(`Is7<!C*z?F
z1K$2sot4j2!vn){N<jytaqw1}!F6p0BxZQCE#6hd_OS>1mQy6~(k_BR2qy#lr{e17
ztB82&P}lP890BLn7j9;I4-ojMY2Up%6?~;Qmu^xfg3=BqPL{a<zayr%Y->=)Q9tLo
zk^Ms0a8Uf-^iF`KnOXNwsDzydvmcTL`0>sg`iD-!8Xu2cBkZ`Oh~Y;gd4%kEkZ*g}
zjp_?@_+57-c59tHGUsnzw&mhN4*OHgrWq?3<q0SY{w<4AF^7)kJFG*y=D0A9tyZu-
z?A=CxTN&&%r1-Ngv!e=^V2eY!B{b?*U*vuug<>Tv+N+Z6sBliOo=?CM<_6E}Z?Tlb
z!V6-8>8Wg3k(@mi9%um}$#2?&zKJ7gnBo)c%7$UPRezs+VGa^%@mzD|VmQqmMRN3H
z!`FgA=Nq-mA#r`*M%F6?l$*PBnUK$hd^sDdKb|*(BzAQrYQ8Au87obGmu1Jv<e;tO
zzou}s)5CT2xd@uCpYGFs#*TI?U1^*?rf}j^g0HcF2$sxGs2#e<f#S9)H*a;CK)GXw
zJaLV$T;va<{{OARrKh}ZCe|kK-7WvNOt%moJC<bMn$3wD$?KxV9vVYnvqWkkn-IER
z6lBobxbXRP^4USEF~linn^yP=V*5$2cN?X6a3(!O+N{zDMEkyfmzWVi<$X)@#Iw9u
zyquLMZ)^nBpIYXIDg=-#BDueaiyzPTIW3m0aiJo)?yTcA0gUSVQ)_ou09RLQwPiOO
z!sSZdl~-#Vs(I@aJQN^=UIe}F^Mf>CtN3lCG%J8tb&tRH%@@XDvc@&W2^w_pKT)*w
z5=3{}@THeGMev^QwzM!Y8tlE0SmQS-h`#0KMe^mM2rYY)0&A(z67$tsqEHB53EFGy
zd$XqZKJ`yd@1cUnfDccKjWAY{vO1ov6USu6Hd_H<D#$<EG)ij~M(u$tf!$jqkOx9v
zB(xX+wN*?tf42yVKG~|jt3(n%`((O@#u-3vm@F#~uPBN%FKTxyNn`y(A<gX@4M2p`
z%B%9l+8*85BHBx2(2~p@F(hRG?#k?W3)cv!PI;9t<syeb>GOO!r4K$|ADm{yi{U|b
zM)@{D1@!fpGau{H2f~ZZJI4PL$EPjcdL3UBu{QIl8VU8mlH9H7aYX`siv!{*V@kNI
z{qmvII(;bB*ErtUB#FA#<5BvP%6MoF;|<s9>$`VuI=xOB-|DYVc)YBFgMMCd?%nz@
zm1pz9%ToqjX3OjzORD1Y@kkD<1%04=Jf*1fLKamx>YTF8)bM0?ai=xK0NBnwoY?Fr
zk77ji7<qqnJeReU(GqR|XJ+3n)DJ7*iS4cL0@F3n)#(^Pt=j;~T@|+;wNt_&SMw9^
zpJ-yi2^q25Yn<iQ|FFwdMHy4}?>qeQ8wm+!hob#Ds8CaT<^wC|T7R89$^u;4NZw4}
zYkH6dN4_ZEzd5ObziFB0#3gj_cuUNWT%sZLSy&wJ?j_>USWoF^0%WvZ?BYH%Z3w3w
zzlXOrsUj5E%4&ZlWAC|)CZ+dAu$PaeO}0c0CuFl%zFgKtL&wnkxlUt9Z-M&xWOcMY
z?ab>dsfQ1X_)^aHn?UB#9ap6GXyAs6TORv(>tUULhmG++Q^+^`75;&!iOJMcfl&c^
zsK&0c?WBS^NX|&l?dw|8XWDoF*CahG`m$_axM3}KT(;`_wU30sJO%M_`MSu6HO*uk
zu>_%MsluLq64JDP$RB@A#z~hJHFBmEkWQSxzoe&y{JV;aGpcp4&qK*w=r$eR$2Zu`
zdurkMrW+PQ?%KFTSIlj<698|zd)po#Eo@5mJ!AWrgtdh0sqT*fc(@|srp&caVZBj_
z^Na@4n^vUjr5SL5cH~UyI0=Q-2G9F(s$=4vvwVrZ3|J=6gnl0-p;e_wS3id;DjoFw
zc=<8|d`y4cbnDT?LRn&s%d#@2(HA4Ks~K>cJKQuyQWMY0e;uMND&m6*2{CbGK<rmd
z9-5g38g7<w=2DeISMn3HjkOFgB3T<H+NvYZfn&p=iBdT5;@nTRYis;+$e2>GP{Uu=
zeAoNU#L-BEJ9YmN2Jo_dPbpDX#iQG|j}%yo;*OKgY40o;a8_@-K_L$j+lAjY-`gaF
z!-W^+ZZ85*smWiA#*}f(xW$F64qmJslR2*V0AQw-{oPXgnxF9=;Qz|Wg;vG8rrdl1
zVsGzuUkOq~aqe&~%W-zBg!@$zf&eb7OQ~iq^0>chQLy4LD+;d;stg{a!}BKxUdcJh
zVpeukPO$JQQ$A>Z&Y{5y%Jwvp->h*_U3BDR5q*i7q`m!T7>^a4>S^uYc}o(dwnx6x
zc3EI%`;W@}-fjsO$bY%2StPL8os0X3`aE+yfLm_iwgs4D@1?mYF)V-kUTjOjKW2%m
z=jD(&b9kZ3(;KNmKxuWlKxpYd=B&`Yh8ah5U=!a!;`}axUjLFA)%x?yrdMU3mI};Z
zMELsRr%qvfwB5m&Dzm^WR)R+#R!t%3?<tt55W;ftN~Vg(B6IZS?rZhlYxyFn^aL-5
zAR457+gmZP#GJdH?AQ9t1QLDwoAopJaT}NP!KQ*0<~>?Xt%!~Z>`2%@zRQyj*M-c6
z_c^g(rk{IvQMNJE^ayfBdh%l5Se^ZU`&co}enLKr#~8+AI##nU@F36qW-+-;HXP0V
z_I&h=5%{k-qzwPz#{U9)E|&JN<7W!v=k<Sv5K{Vedwn7|%1-PfbLy`{98KlvJZ=aJ
z$<nlr4cz!4D>g6XCMW*W4e~lSPlKLF<7GY?H>NNsb%q+;NHx7P*&9s*;-Mpz)$6%2
zottkVsD%d$#O-sw@Y6v5W?<;<Xl@Lz(D}0(#fOl?CieUq6{>pQW{wYX<3d|vyYzMe
zbT2gEETvN6^sVn{IsQC2Sfm!B<0yo|G@|K?H9udPayD*CfETBlr59$)h4I7HrHSo_
z3_y?eWbx%kUR=+#w$1Gj!Q6f6-Z#Y!K*2*BT|4;jp7gV10t*3e87CiGda4h_#IN6G
zM)`5_<5JwzdNJI=l3w!Ws6Nbg5LSJNf>`kFv&idPYyM(e1ua`wAJ~na=%&UC;r$@1
zrp>aFIO=X;+y9FKYU(Yb9f`tdmGjSMzE}!rlJB#jjslF^><<t7i(r+~<JJuxGAKE`
zOC~0n0%DHAfd}10aYRZZEJaxkJL0b<9Sfkq#(;y82|EdBZ%zIDnp*+O=cJUyworfr
zJJXX-h@q!&{eJ;mN+{*If8+>IKy=pOv{}hoPRmi7_$;lAF+<uR9drtGNWC4hnU_Eb
z!o!PY<|@dRJoqJgGX;YAHcnE#r7+E0M%g%+h<9|B_wfZ$fIBBP#b-boZ?RvB3b?0=
zep(Vqf>$W;&Z5KY!*N+u6>GeaHmiot?%e<E`YGVtzj@VCQyxnXZPBAUXyBi7Hnvez
zeW?5zW?Mb2fCHKP_7n3p@twWsNOGP&#J#Qy`LtgN8)6HTzATe)ad}0OtZ4wzTE$0L
z{FJfn+F?(Q?b@i-e}C}ba{~|`sQy#1R|N;ISn|Fs(7_A5Z+;s6x8^G(i0gAhh-fKk
zzhXK_#-*yeh1Fg(XqK%_QHoH-ty(PEGON0Hra6)$+tm=nw!V4sI9?4cigiJAUJr?U
z#61drM!<P}=!^3Ob;QU7XNnI6E$*DE4oNkJR~L`4@?Frt^kZ`M%t8t#HMAV^?J$8A
zlH1<c7)=Zxu6g#hje_Ui=-T-zn}MFiH|*U_LQ-+n^PFZ1s$RL(wIkXbPX5~#F{Z4A
ziB=&eoHHpHT)=aw{j&wQ{~5lU*`$SR4HW(-Gzu<Xcz1zdV+E6Q9OZ%xZPdAy)UUf)
z594gMDYazM!Q{B_Ih%{xcr`0FETxBxmO+bow*ml?Z_RwytJ224%$%tOVI7RtIpEwd
z3n1vWdz^Ml8~=t(9aH1f!mPODlzRsmP(1y9&o&=zyv8IM8@6iTx1x;0&YcY46wKVR
zZCndW4CAlf-lv9HT@p)0lGdQKFZW`N{Tc_QT>tjXsbHqt6V_2XYv70wiMn`#gmkZp
zTcxQ=NV)mEaNkaA2wa?Y-nKTMY2NOf^<i>odVXN^`gZFzUDY%357NNdJ4r@e!czEb
z6MND-3u{pObFK5Cg*q->d)bi2FNVp>gX;!`tid+q)4#|iRs2=J3>-Nkj3az?`GZ{y
zIBvFgZ+Qg~)xQqzdXUSDp>o|5tceVeWUJjg;H!e3KV|k4%-3Ox5DRgGAp@EzTPwec
zD`VeLxkn)lEa*G+nD<~Gz>|@Z9kn+U@js4+$6M4Fm}#k@GtH*})K6JTkC5asW3P5;
z^Nv|&KZ{_3ofN=x!7n9$U(4W^!os%+UB8$+8~Ce#@2A6q#{S0H94VBH{%GIr@`FkE
z*jA#EX9b^Lu<&{$NMPvSEhBs%zc8Kq)dQycEP;*Qq-lR$41bp^U9OcIVS00hZ@eVA
zmTL~nbG7!1qWHXm_2u><W{1zL-?Y00+%HlInzRwY)LNHouZxD5!$irL%v^I=j_^0r
zy(5JF5=nJ|;loVZ>se2`M%VJoD~s#mq5_zp&z+#j_nBF~t<mQ_)eJ89?#|!#oEK-m
z|LT@79cAv19vm+@X9~G_55rWOxsi?EOMYPZ8?$yH&(>wY1TN5;CHHc0p~%jTYYRWe
zm|mBb*elIUAT6gd?0w8SbaZW88n>BbLhERA{Z(V==im3q#FPVVT=a+!C#IO+R(8H}
zWi<xf^u^R5b#`oz{aw8K-EXGddiPV_K}PUMqxaicJ2rH2o>iXenq_KOFMMw6HH3kY
zjE^5KvLf9({=4w^zsy*Tm`~B03?cZcgr5{2E5<w;YH1|QGo#pdUJZRl1E&kZ0(QkL
zNVF^dMRs3g7U&BprCQM-&HBMXW+)2|JSg`&Qnk$VJt=<v)nh8Kes&_;?_fdoX9*KF
zk}TL>5Ojphpu)4aiY|-3Ea)-dM@;r-#Y>+h6z;F-&*jFK^c^WIXznl>PHSRA1Ljc<
zS2qKwTygqo_KpQ9UHYmeCLCyYp>~7D7kvnrY(DbNlojv9TvWf&v<^pnJ@#6K>x1(?
z@z{z6R`e2+82uZ_g}EvhX3B*1A!}kN?ZH|uC9>tHzSrf!LrJYwx%b!fUu{N>SB4!W
z)J-QZ6Zr5-IHgh7i2}V-Nj7GG*s<)lUEgy#0i4x6x@7oM53bl=X&3p$fnw`r4E44M
zp=+AM1v_g!Sebgkd5@bDRZmG!2D^o^(c=58_AOn|N};j&+i>AqvDE&Ta-!%e7aM+0
zL>I(rG8;#4a^p?6ge=xG1oYSB+j%#c3|XztV-iGO{LcR3>4QZvyx`V6Vo4yws833U
zTst2g$Z}ed%9cP==Vu!#?&`ptsQ1{`>jL;%t7cu$HYv1G*|8_VSqGv{lrL}06+%vz
zj?@lA8SHsV{g=$617licDZ9Q1BQ>_#z|LF_Jvvi9y?L(<4uqK>RDvkl3f)u42v9&;
z@g~KVN80e*N%*UbCjs-BmsbUME8&FpE(-0THhewEH+>An)^u&zeK=Pcrv+HZPF>oN
zI??wulOcggKkv;uO{w7f50fSj`E}qi>v4<gLz38&!n$?LT@@n*2TsKV=>UI#m{s_7
zY2@vzmCf!_!!(0iW!f`3a5yjX*xd+OY-O(u58SPRySa3WuNILZH(nr~7A}up4*5mw
z`=^PdJES0vbY1v)hJ7(8LlJB4j-A_>tA($R+f_ZS(1Y0${fNO)C6s0cql>K$hR?Ek
z3MEkBCTXFOE~J8CC5<Bs-^tiQZj?Rip%38IW7%c1=C|t`Gy0<S@MEQ`uH7aB*m2F-
zx;a`EW8*&4t)nUUpf7HHjXxEpk5$NeHLBsUdg10xWPKz=h~1*(uieGf8#h0(YoOx3
zCpGI(ADPr*?lN{GaEyz*5=Ga<^Rdk{t`r0GT=%su=$tV`sb7^34<TXh%GJu*V+QE_
zO2#o+%@jyAZ4y$6T1YRv+AEi6fH`3yUY~o-;CazM22Z>;N}l@kjO4dgpEyF9&ar^w
z9Zv;|y>*Z(xUzC&RUbK`#d<_{uJJBrB{7wkjJoz(Z3It!Jbh{Temp0@rq03~wrDbb
z;&@jcaf*ToJc_-?y8wic{c&v_88zgy{v|MV@$PnN21gPDvKOpM?JCJQCN1HqK+-`o
z6MIJ`4Qt?iQyQ8VNXB;`G%de5kkEHhvXc9@HME_UV|oth;5w;)ykchRxUh8ZVGWB7
z7~DP>bx%?Ub>}T&_Dd5{+d<TbU}^(#*WbpfNoeDgJ4;3-n-cEroALRz#RiJr*YW#)
zCgEne#Boh|8C1#U?r*ZS0c-yLjGYOZ=zMX4r!G$n#S=fTZc?y;-($;(?SdM(V*T^p
zyWK+A5<EH0F=P#PiUJ-v(Q5ctODRgKloQMHnyV_$Tf-&(q~GS>i1=Mpw5T>>h1nja
zU&W?p4YRy#c3zGu_?hE2xm5Hw(}la1#h{r1kE-m0ldF{Q{adO1p??OM>W91h$J`iD
zb+zV)s;dIBtiCFbV%y1VsqxU$8V0D0QoZzfmn`PB?9UXl{Xj3elbgFf7+~esOloJU
z6t1i@D-@6#rJMY~AAf$)!DfdotMr68;=cp8Mm&Dfv+o|KuJF>~p0)bcpOFMy-%!C8
zu;&;3#tTDphPD+v6>J@EuoA(cT=o#(&MCTHRfJ-VizV<1(zem}3ZimS)gKr0X?n%K
zOo@+YEFj*W`=xXlFPdmM1bZq>)3u%@yY)UWhyJGzHQn5~FmG5bP9b-S{=(MoP~L<Y
zyo%uz=h?x5Y9B-FX9|ANdwo*6S@g`{UQBRrd?_m`|M7P?UN%7w*~HjYaoiN%@kSSJ
zS<6v%uELf1(Ld?ofrTr6O(xLx=Grsi@C9aH_*m5n?FW7MpZ;pAqzOFobljBD@t3KU
zaD9OP^H;jhhK=TFp~et-$8fvXl^JHckKq33t6%6Fbv|DY?J$BJ22;<%JExe}I&z}6
z1dh-@T>k?keIxLEqk4eaJkAW6(eJ+MK19De_UcY#wjmf<{62o@;&-NNq-&_qn|^wG
zw{0wq!w~p>wcjwF`NI6+R9jR^@1?sZPmq<4(m;e)X1c9=m}%eO62QIOO;^3SYk}~c
z3f>!X?A6=`m?qyYJ@Vy#OLwtgP5kang}JlBty<4|nM(h#Rm}S}y&;0Bbn2r43=0bT
zv<`GL6ZaZRTP?h#zl~9qF4}1T+lx4NuBLS{vz3PA?CV?UCw=dDxP8)x`$Nn3x&P~A
z>QBFQJNNe){ZSO-o3EcfBw%F8{PQ-Zw8uxg7dMgK{D7KSH%<Z86cz8w?JdkPn%k4x
zUiI`8yQ&iUNeWyzED~CL^ciz$51WFMb`5=O#Q5naZVD)#3iZyvi%hN9xC615D(LyX
z1rrNKdJr(QkIS^Qf%#yhw&ay?G2O)YYm=z2E;Q=!Zqw>{$czj0vi&wvKu>a2{m^@H
zO@~7tG)a_KGed;b21zSd=>9(?LN#CLz>T;WlK{m^X0#S>d%9#A{eJ)e0RR6Cmw7al
zUmV6mSt?7G8O&H`F$fVegJB*Op;TJ5QnsR^Jw=JKL^~p-h*lC=Dw6jNMfPlwN<vwR
zq(c45Z~l7Ex#ymH?z!*xe4fu^d517)pFS7j{;h^y@(+mI*i*&DE&GLQ*LruA+Z!V5
zuAKVD&ijPmy^jU2e>ZVp((YvCDFcL=*R(!ebB`cWIpgbkVu-m<@699I^dS~{bKG=)
zCNUU!<Gzi?MIv*-j!&o9`ZzS?FS|qMF41{6dLW}Wg&3Qko-Gr?0n12e_jAb|LSJVj
zb165SnCFsqP_0D|?G6!v1%0=Po<%2GE)U%#LW?z3QcU%bdi(6F13kA1KT4dDW%^y>
z$+k59zIZk$$ws^51b2vo>2iP8_-7LmyYqd+Cs}ZiTX-aG@D8zU7wvE5?OY=4^T5bm
zZx$k)?bXZ%?h;Pi1GUKy@`wpqz>mgPOyvKbPEE7OBIpM%yIFS>5OluUn$CqxXeg<B
zbk*M@a?hqlcCa21r&_56_lp>~a;Ro(bK!krS<PHQ<Fz89Yu@-S)A<bWMhaYm59AW|
z?S@X3OG*f@al16<TwOE-l)|$}^v>1OvKq_@!Z_l(;>UTqP{^ukyu!&Rmj4+dVET+$
zxA?N-hXNh+{Tvlce^Efx@9a4tJ5oltcupKJ7U-ZM$fZi{;zNRwXb{)fUO{+Xk_mhG
zLK|sM4=2vJ{Fo?p|J^g~#|t8#Uj5f=wKkqE9@~@NQB3^G&)JsZ@RBh2w{@>=wHCB}
znhr;=e@d)feyYd%bq(QjyUF|hs3zj-WV&W5kc8&PWeJ?@dSZ7xZQ+QfCW?-(+O_EN
zGh)V(T?3Z=jl|8f7SrFlY9P49dRyf3aw3<f8Y6wPi3kkzHFAxm!>G@Bzpwdo;#_mL
z!{mh)qBP>$@Z2gIb}ZQLG<#Vk@q@B6BB7v-XpysBuzVH`XIX1Ik^Yi!sLDSfq0~X7
zdax8PuTsa6itG8oyjmhdI6TQH=p?+j=K@F5)bOce{Pa)d24XoS@AcKx_r&%VO1<@%
zDw>;<ioA7R5%&+=eExU%1Hl~syT!{{6^BM%xBS=JM0f=7BfLsJ5?aNHhh1+`apU?U
z*OhNt2z#H5v1LztiP>iz<tHVnFlGhjN=dyY?i{;)IDh;T@r;(_<+784)iVf3|2-YV
z;p)~3)4c<P!w;S6#ce7GjyUw~nD$#D`?qwWsreV8CnPfO^CA^!X8C<%)4PZ}^bH;3
z_9H~ehh6XHKUT&&`lAJL+-_p=xhUN&>qZG?vtYz}o-*cM=u1kM>mgD$I=<N{93!T5
z86N7{N|4iDG3zO<kNEU`Y0*dbpM*#2<u|{KmGFDtFYmwJpNW#IIt_D+$BDkWRm)@^
zDx%-6YnjFH0O2??&3E6%-^6&RTH@6Oia2&pOG>Ql3vn;0JTTYkFL9K2jiK5)2UQJ5
zitj&<5S?E<t3EnRBUk1<DE$*K2b#hTrSyVPf|X@Z{Zdt&Y)~-I{3bgGQ%x~?Tkebz
zXJyon$!Jd}OQ%PL)fFnBJkmf}ru8S$?Xc<kLoZ44_{!@>>01?$qa(b+vYQ~@ou259
z{VYvVT(XZp*HOTcgHZ$HW4{SP-7oW7;Vd#Nyl|xEl{^mZo0)X_=U*a!P}W4YO^(b_
zkH0K9B991(^{;(zPb1IJ))skl=8$nuJo7ai<uSas^+-j8IH|9FNvDshMCvKs_%vZH
zkE5?PSvXyqP6o8>H79IU$ix!`--kBKBTt?c_U^MJIeblU@klzAO#Zc<DN!m9@1(K!
zBZp<kJu^H8zc{LsUQRWcD@_$J`$k*-o;9;cx^wPHDZU2jR(|1p%zXuX^WA4!A1+VE
zbY)(7Z>3GDp4F88yLk@w*S|~IabgZxxMA~_4hday#fs>4vaX8Qcb)gg^`H`Yos+=`
zoMey^+iJ2x&naQVD6%>GstVcq#PV^F2Ae!x-znW@r~<xKL-pRjRC4Ims!ff%Ib^pJ
zPb=4w3ifu%602l&^0>mDOAX%*$jZ4Tni7p_m_=PV@nfF`ncKT>(e*SVa!GM=fVqqY
zW=8r4l`PgKAN-eF&$pUKa*O2u?F!dMi_(Y9e}3waJ5TLQ;^mo=vv#U9pC8u6pAAm$
z(#jd6XK2C7wt4f(ih$_57v8e)%g$2pJDWv1C45y0%`zvitj$=mdZRve?oP?D%GD!B
zLoNmVR^pO{_O)jEhm0Ucy>aYUnLf!$kvYm=$0I|f=2u<OFhwS%#`$iiA^Co?aQPuG
zJ~@1}T9ei^AJhr5e9IRjG9|+Hu$j6g8P;8R!o8V`W|th3ydD#>FgRgw$k&pz{}@Mc
zSF%Du>2UUiws~asX1TqJ#+KxLm1VV*5F5-paHCr#*_5n|^b#-J!YAkbbE<YY0I2Rg
z5HM_HM)nPg6-NE!k~^Bp;h?bq;x9BxPRE*&18Kbi{-`-gdapQPmbMW2HmQiYWkz~@
z3ZEst&5Wci`OtZ5U=gNYo9cLZ#EiVrq{3e_VoWMNt?)J&ut$Gys=>0^X5@-hui7dv
zb4Zn{;*)s^4p>;OIvKFelyt3iuIJ9xCC^dXOn(nJKtn9|VvyfF(wnI+nKMQuN2hLo
zavgTSP{uLNsWZmp{zH3QBiS<K(?e|mve^#!lx)x^Ib}%pzu*oV<n<Ci_C|fBTR1?q
zKu7$gtv>mEeZh#H%eb()hLaSTXb&kb3pZI`Hrep8d+RZK8BpW5$hv%3gj+9GA6OjC
zATQpy;o|je4rWYM=IUyR*7uA~nLpAd@90W=82qdPe^1Mp>P-v5{!2ZkI)hH$`z}4S
zu2dCU4i&^{r7b|7jI4z46NNl4T`|)sQyp>-{5|)5wS%{_11nxrk(|cqUjN^F8kT0q
zmQWVkp~OUX;+Ov{@~xGV%-t9|q~6D{KV<{94OcfETPr~(wmW7VXr$x!_QzYF>j2aC
zz1(q0a)NO4`8*lXM8~E6I(vylLX6Ba%Joa?Bc%T5?Y?w}j_M$pUbBt1P)MPbWFLMY
zY?W5X8}p^ZPH9KV+bA3KC3b8w4f!mbHgAuMiy9pz1>bzDDg-d_$?ED`@Kac#7#o^X
zN5h!sxh4II0*uc6{aWhzU*Y8!ZMK3_G>m+udF|L`jnB>$_PtzjJo-E=@oFs%nKtR4
zD%!0OmUkzbp)QGv0R7}sJR1I-pQ7G#u>y0-G$CNF42p_pJ(+JrL({I(32L1sns0xt
zGyO3OYsA)<pRuALD#A(G(#;Z|+m;ryj>@5><lw2xTWFvOQm*Xn=cCuAy;00x0nIyh
zv8z&PIQ3s^`l=IrG&cBX*@w=-*G1b8P$p=Yvn_GxJe!X@-?c5D9alue>f2&w{&WPr
zR^2i6iih<>iJN_bmGI|VwM6uHIyScDB%F)np-l2d;5|QO{B2mQvMgQ$#sNAToa}gT
zxt=>KdxZ+tOHLKUJ8L5Lit!7_89Yp8{3=zkpkVvWu9MbOE&P#;mwWPxi=67CmwBpG
z46Suioi?F`Ju<Q5owvBCn+P$S`5zTC_m$Q?I-rd#@hZ=;2rgb9n;mWPQ56#5`Q~He
z+PGxX)46gd7y4@!tsbvY!!rJvvhr{paNl<;ta9g~IHbK|OR+j4-RFN+Q`80H^x*J{
zbzGQk9}S`1r{P?Sxfyv|7Y}17-kGBP?yMDiqHoi&Xj(*|n;ir7`jN540bFDVHVo(A
z(!iz8ekqrC4D<(P*|eVI;<g~F**!}W|Lmv+-G`Y-*>3dFE{6-Q^MY+(3$$?O^nRMU
z3JaA(2Ei8HTm*jV5VP{s#-f0UtyT9}sJ)r^t45Ot(`Iq0H3Qn1B{}zCv@IL2Z$<V^
z^W(wO|5E3#Jvw-LowlH?l8x0%60&cX@Nl>%^R&)y9k^yMfAYj$58LHu-teaLQ9m<5
zKPyZZdmY_&Un$f>Zr;1?X;FMgu1;iPIs;qH=ry6r8~`^!$iEoSgBYiN^I_$&cI~zk
z48%%27(2U}gV@b7TCzcw@Yp?fH2OaVG~#W=X$c&3jIODw`fZ6*kN1a-1~9>C@yRaC
z;b889&?vPCE9lL7#rf3AghFEnWlb&z;~nh9)H&AJ8D}|s%Z!EP)7|U#iq08&-DY+z
z)f%k@WOev)7FGqt+|=L5L4T`T<pv`GJZ4zRb(gasC-$yv*>nzSFYTHC=8*tZWRvU0
zpDbLh2xp%-uZQ}wLHBC{8(0szYm}?7F`U%4-C9f!8uxJ8yvPP7c1=PHCL8_HF8`ja
zW5YFmBiF^y7DV9v*Gz3T-h}-#kh#o)u-3|@`MfQ@{;1LLkzr$%srS~JDkknvk_@qa
zTWHW4xcVPhm>j>6qCdbuQEjL59upxt7W-Y2yUBuS)(o4JDP1&Ph@Wk+Rftu~S^aYB
zS*YG=e5OP}7hd5-kJC>H5py6v@yK5$E?NCkRn`&xxAKvTWvN006?ioMjAx>pA2l#y
zu8q(l>R?B@5CQeYscSTu@Ge=(IgqA_>0)A(#EU{C^7+mg*BDq~7JQ-f3mqA(m0I5q
z3DGW}_1`oq0|$P~3<j*G;Z|q032T`U&!1jtyd0y8nG!X#r#jW39-A6_o+3osgs*(k
zgbtj%JKsKzQbpR`{f_sWZDDbz%SU>v4%ABLH$HWv0%MNv#iDI7vnBM<$7XF<IL2CY
zTqp>YdaFLm%odkE8|#lQ)W(E#-FD;cD)@G=eAv3p22FhXPd9dHVZ%qi8s}_f+zYCb
z8r^S$@277*>hsh@3GLdLkBTz5W^Qr;@-{H_xNoQGsR6d6g4kr55|(Hs8@1gMU`o30
z#*$rhu$hA6*2|O-Hf9)NArOEYn)TiIEDer>>{>oe3DW~(>w_AtF>T;sEtOEmv&TNB
zBQun+eB%AJT|U+z&S+krDWQ&z9#;vU*-B8_EPm?sgcaJo47<uVsNv5sW^(>qCD5gr
zSaa42-?g-opS@5;qj5?d-B$@OF1AM;VTtB^cd53^VpTY19Sf5#P{K>rHru9BOVl55
zv5$C5h0E*cJXuv`2sX*AZrEUnwe4HKc}7t&C1qRx{hTsJ_Dy>9O!5&ZRrCG%A}Rv<
zJu~j9t6=Nf^O`{^d|13l{un}~BHYCH<i<xTc(y({dw2mKNtJGs_(#Fkb&JFn`%=Kn
z%s8C&m4|%4j)AHP3O>q&a@!eH{887KlD*1<*mTqEXQEzGD>%L{{yP;bmDjlhx$=-#
zE$Q5*M@0i8x=G=cD)u_i*ErAO;hNpql-!L}%yVj<`=eA1x57HbzgBZWU!lhSeVvMq
z<Ciz|K2e8*RxIP?c`h^^R}XFcO$AS`r6RnN2EJynf{TcskNF3;9raPg&-g_So4V<u
zxw%05GLMV(^PeV*e^7;R%agVJ(wYeE{rEt0wusL+s!U^cs(~l-IBK7b7XJ0n^}I$b
zaHm?(bwfrS@3j7C&K7E;dg6&HztaMt6shVr57i-XFAi?+)y4s>^{ZKp7P!%*YMru=
zh6_*W!M^8oP@=Y1Keyfj-Lt2{A*ADniPV8w8(lnpR59D*wFQ1k4I2DY)j&g3Lf?0h
zzt;SW*qb|O0c}jC_e^O(CjOLN#B~NX&6IedEyKl@M9+f_-!&1r!aU>4Dkf6nvixcD
zxo8av^7Z?sg*BlG<m%}x=mp%*oAl!%BxwDs*br^pA5N-C&1K<48MXU&CKr{3pI?QD
z>wu}EH@w4*jW4_MID$zohD;}>kDk)On_P1?WsHrvIo!#dRXlWTot2tJ(S^#vB&V_y
zdU#g+vqia>hd(=GtQKC^g}vE^fo(H5xG{a6;TJ<bI7$YAYy$=+lNGM_?&n~4cvthD
zJA4!zTDbmd4g=d?7bq$>aPYG|bTq-(5?6aoj@6qmk+9Hf^H&9ZWEy;+jg?s9b|anl
z;tms!lae>w<mscu=i2i&S1XvAENux>6>-~pkxUEpvF^&<a?2qrY^Zt=GJb@G()q!T
zR}A#g7ZO-d8)Xfpw3Ay*T3B!o4r{I%<6yyu>Ou)!0X7`7e(y|YL!czHb4CgWRYQT>
zIK={3mFHi-vWkrp-|EWi85|hi%+B1s)CO6?(bols*a$n7Bb$C&54XQlCRIh8v9f44
zIugr<lE>9IL+xzb4CuKQw%QhI*ULTlC)v1mldkk<78}3XLrd+S+v1!NgORd_jS8P{
z>ptqU5c-AD=D`-i<B!<MS_d{J==*Y)@|ZAdmcC|kPzdwf$MRm%Y<%07Tk2@ZfS=dB
z(4>4JYE+K<`#fUd(=YP7oP{n{d9II|cqiiaY@USO8WtqW<NYg5bPz3Wae@0&2=$6!
z_R}6Fcy48;tBti$AtBJqnH0j<sV=kEhl%qa!m}4|*MyPW69>aDLeR6Oh5mZOz}|xq
zT^i@<$SiqUUt1@H!<~w?D;yc9qo!*_w5Y>1Km6dNC`a5kK7P9)M;BK^)-e49YG^XO
zY+>&s#MLlq#~_jS{Eb<+eR&NPCZEJece)VV<5%{K?9)MtX=mro6BO+G_ICBeOHn>*
zlO_GF+BoPDyRE`k1-Ti_tg=8`q@Ma?y1_~tnnmfpYxgRHDId0W?QC28`0rorEC($-
zU(#i>=8lM;C$8SMxM2gO9T!XnbT#2+KDd3Uq!I+mO?OIoHW<zAdoU!cfvfEH?sc(>
zkXg32hf^g$aid?EP=*dwZhe!BnIar1jkXDH0_2~skiSKtVYJ`%LdTyu*j+z<e7wgR
zj2>Zh2u~fIt|U97cMgg(YQE3iV~w&t)n(-(o@^X>p6od|2d}&`<H!D4;eyeuLeobg
zo)>Rj^>wBq23nU_eLrIbh1biYcvMxS)8ZB^U8IPp)X#sPYFc3+X{)j984=$cULGz=
zP{j3=%Qo!~EaAO*rN>i|uLeq1O5Xjg2vgVQ$VZDUQDQ9LZCp&jjJtkCRr{6Txgn#o
z@&g~mGiM(#+CxG04o1j7F=b@8u8|8o%17lN%`<y!D5wlOPxxF{hE!pZ(M(M~ZnHZE
zZ)sBSP8Ub)SE@k%NZg~zG9JEm=gI9=ra&vs@;@cfcdhE~<H<WkzCE`ne7|Tv(=M~d
z_Y(ydN_OmAOygmLN!hd&0t$3A6nX}$sL)YzYxZv7BGc0@{!Rb|^N!Bc^L?U<kJlC6
ztc>BJ(TH)0l}8czmHxuir)nq|TYluI6BkD%b(;3bP_aYy;Tx|8kw;sJ?^>zA#l>!J
zh}Aw(zHH7E5Bx^MTya*F!+Q(#c^3N^jZmRDu;IrxZ4JDr68CM(x4^aN!+O7tsA7L^
zPk)PtCg$LtSi}VjSn6i`TG7?8-xEqQSz7qUqJL`-vVe>ASFMY+YOp8Py2~Ed#!Q9p
z>wLCZKy$v8)`c_bs8}#i;cu=3H#O&>qAeCsKcas)-9yCxHB)JgLpnImbb7bT#{x~Z
zfB0G={%Z?tlopCS|DI5qPTyyNY3B~v@r*T~=<=p9!k2-gYVIdjoUy>f$&`~r2AU|6
z*f*lgVnVz9j8>xP{<Y&zyQZ6KA^YCgUA<l=j$VrRvGtP${tGX4oWazFt_zE}p2k8j
z<99!s&BcSG|58%&wBdSGXhISBC)?|V9&H~NYl_bqKV77QmYQ=ml~Q`B2-y&_rH+e3
zyFcd`cj#c$?R;+5JrU<SwM##k^YFCo@9LO9T`ZEi>2i1>2X(*R)h)iuL;G{?fVl(%
z&fgmL7gljl>bB+TggzhQ3|f!>MFv_<9yngh*M|e%nM*w6BV~reusMT?JM#xj=bhJw
z+uyu&`cg}*D(G@Mn#qKWb8zaB8hw~|y%fJZXo>M0-J5bEK59-e$n?+p$fB%j*mced
z$9Bh`yqUs6Oyde$%13=%8NQXs<y#}8tZ8&goQ=U#{p6p=`rtLp9=7;sjnIQWgCpzN
zIGH@!v1*4t%ob3lAB+`%b&u<{JC%**kFuVclN=<U<j21@vO$kxd~5M5HVno%Q+vEQ
z2>iO&!t|vLf`mK$HjS{cn{MSCA$lLTl!t3}ueZgs8w-XU$JyB6<0qZ=nvJjjU0nU7
z(-twOV{8Wd*`m2PJ0d;6LaTYFY@CY_y5C;p7*w#~T-9w`-^WC#rEAx~J(0IB4)s19
z!^Uzy>$r2x4Aim@XD*l!!lZP9U1iC}qBADn_>Xm=VV@AbUZllmvtGPE-p0bB*3OwF
z$vTMFSKstg4@g+>Sts0+1;04iy4s`KNQ%AiN5vTMB{vw3y=5Zo<#et~v!<xm4=^<i
zfT4YADNB|xvF>nlMoBpx$0<<{MfDTCB@Z9yiSjz^V93oV5$CIV=a~md0;iXIo#V}7
zU{+_7LE0=eSpI&$>0P4`TQezA94}q0c&fT`WdIc+;*$dLXd!|N{Upvk)WMTHiJTSx
zso>b84QrXH5dCi-uj!nrgWcjIeceUMkPx~BWxle-_FBnhj-r0*m8S>gTT1X)uexy1
z-xhCYgs;mC(t_<3N!tlR5oKGxNRfYRu<Z4&9btS;yg4(Z_;!XO=$0lyk51ZvwmCw6
zrnCmyd*?7C4$Q&bGDf<Yq79x6wJv(nPs7`<q3_&h&w+&Pi4XqC0tA12V0P-QI;MVg
zEzhb{zyg!4MFCm@+%_M||Jy6#fN$OSts4s1T%)6BaMK!v@$1A)B-G&k?8dXyGzI)S
z&bzbS&>FfiP3J!FRAD(0*d|+~fE=eK+3)kL;LVBjh&n-qy?_3U>q81K6U&>UDG;q+
z{-wTJ#Le<ZCDMsI2OXN(TeB-IVW#1C%V~><w;4^zHc4~fQszD)=4Oc(?>U*aqbg8z
zy(*ZPt%&U1`vsAo`A8g+o$>XO3XT}ONU%&)giycN>(UX?I(^~Tq?-!pZI}DR%#@IG
zR`OM%3Lom(i+lbWsK9F=c-iSLC3qX|s&3EYVP)^#@mOUQY>7+Kcf6*IuM?jW3Rm;c
z`Yg@HOi2YvJgalB0#p!N?c*8whl@e~dpD!mqW;kM(P%)_%gh6Ff2ZH(qCYC7j=4+)
z(QRetci2*~$tS@sU_BR0UvJLJj8Vb01xlTZg{n|m9~0s@hl^(>UhJ}V6}%&NjT~5^
z2C0_k2T~g>@Fw_JCe50HV7bEKp*`vdwtOAjn_z)aIZjDHE(L*4#zx~ZXlQGHryS>L
zfvB#m3w!xgxN-HmtorECT_zc4$hANj-zcxQiHhC`HOn(xO*ll2SlcLBz(;2|DfpNw
z?C3JD{v~Q5xoe}*rb%<0nI^rm+eQuDD~i}3MEo!F`<lfXFo(djSm&XvI>x-TE8Cz0
z&HcanY<kR*ZYiyJY*-y++Vz>&rt3n=ZerM_-yEs+x@Xh7Xb8~#=4oE1i-bjQ8mEcQ
z|8LpQbdL{o_^ci;UYX25bS))vO2q<$cQYS88PNcX%g*rL#>6eFg?ER976_Kkcpp7m
z<T=z*mk<jUa*AhGt`p_d>CVWqbaidK@pQCy6=NeOs9Le2!~$m5^77{tXk*^9{ksHJ
zY&eCVNs1Na=4FoNi$ktDVAVZbK0jIyUmMwd@Ah)>*3ePs^r#M~1uokftvCo@G3(f)
z9xfuBx0F=H>B3q(VuO1Z2X`6CVKrVnIJJK%-8-Kl@_H-VzTNuR>Hpm@WQ2#ma*;-f
zuNZJ^OIfshNFQ;V-g;D><Rdg>>yeo|n7I3dGw-;w0bX~E&s}0<i4gxE35WkO!H+f(
zoR2lYzbR#9!%j>5j!`b&9>v0;_!peP+XncVq`6k(ycP1lg@?LIh<rMSIgprY0G=B0
z)89$tUGg(?(nMbULGzU5&Rqsjk#YB#kPzVIxp((I)Uy$K@79Wi6a$zW+Q<2n2q5u1
zY(bT(9!~sP%4H_#BV7O7IBl1R|4a6qb#u{!n7iyEuR#u~U6XvnRc)c<q_ptMc0D{C
zG}O9D;~?~K@N$(xTja)NIC$;WLz929cBi2pOg%4prP>K$HqW1+x$D7?$2+X7%?7zn
zzHH4CA*gx5?Q=}^AQv~H?(~m|%*YniDS5#5R-07&7d8qE43y>S7#MQ27n9%t+713r
zmoBi89n+;@7q5#o7u8)BuLKG&dPhj<u)(zA^7Gc}U{y`r$A_N4r_R;0S6yY{&WJ6u
zSz8;CLk89te1YWj{ngSkEJ!ueo_*@qK+g62FPl9e@=g0`|7~UBaLI;r^&A>@_ozPW
zUkY62-Y()4Gmyisxa*RlhQh!1e`%Nj4^LJMCe2`A_>|4M*oRaMIjdXBiS9384-MEa
z)x{ycv9MQ+f+OF9U9w&ZA!YR@diDh!m`xb|y&9&B+}f{&I{rc|W~raO(58)_OLH5&
z<}0CObEU@3f3^_%b&gqTX+tS@^ztb+MWoMtIh}vn7XJeP0RR6Cmw7ytZyUv}*|#xc
z-wk8z#@LrRV~L_7Dw2{ALLpR2i$aPDC8SW67KJEVWh+vaw<M*-_OnOQLc%+LKGz@j
zb3f;EJ?DGQqhN=<wjUKRYo{(8Xds3g8)a3?#I5n9iB_+7S{|njdkqo}i6Sq5c3t@u
zE8IDiQE17K!xPDI>GAg>*!X3q>^%u9aLcdz*e4{5hJ@C~bD|<}U1wkNHNz6o_cQv(
z=A_Yic9wefvM}maY=ylEmJn5R8t$By!oKu4Nv&PN@Jck_D0tBVv`3YX;#Vcn_IK#`
z?Y+YAy;E0PE^L8fl@lJ<G$j$VGq%j_wlEg7UnI<@nnS?!RNKxl3EYrw;uKXB!GhUY
zm0e=yp!eLMb+?lc@l@e=P>TpkLM|DGT`|MZhZnNV3=(F;7;&%Gi=t`!LE&=>W^k9i
zW;61d2>b9=mD*NO9QBg9L%d^(tmSFm7vV&>RnJ_1woMF8Vn0NE%}k-*Wb8JnLxghR
z0{Op1G5mP+#OwKM6I`tD_}tD$1R>&WR7@!WR9AodR6i5YI!i<bCd6TU-BoBcTpX7#
zIt2={o4}?)d~eaXI3E4hsWNdOLT2s@{ZfH3c3WIcDEKE1sbcXG9vu?O;>i!f*BPUO
zOP<e9jfie@x2@5t5(qtKxWe<>2<b<JsfoTsJXG&!D`4qlfer5}ON?M~{m-VVheRwj
zW~S8GNFm!OrFLMq5e{a}=G>AZL1Z{laB`nC3Juk@mX(dbn|FJU#3d3Q&reEv70F-+
zU***^6Lfs!D5&p|lR)$OtBDFfWHH{j&X}!+4kNw$><{WBpllR>M|G1tE^LZUSh+~Y
zH{o+`QK6Es%i!6m@k9ZhEn%1CBj_NG`0~vgNFnOvE7u-*C4{{jZ07c+W6e(n_c*UK
zZaBnl8XZx>yXKbFpv`nR)Kw0!{gB2=Ve(1Mhsy9*`HnSibWC1Lndq37f$JFw;pRjY
zT*_0C%H2iByR|wq)eEwik6N5b+O3L3yH`>_5780(IDB-GD33p8w6|;wGD>1ZhB|N1
zaWH-&D;Wxq@xg8v1vTu?x_oZDhYmldf#cFg6p=ewbd|oWhNpb<n36I=HA6;zWtS4x
zbRORHw@)244m1DxhZy0fWrmy>uQG<?w(=jjPk~&8c+ImeBb>^rQ{$>s#`Trwx229~
zVCNu+nzqI$)guaS^Ho8AFfuw#sL(5YS$Oe<F$^l_b~uQsLg4BqQIlaRu6OjbC3%`4
z9ZNqtpQ<8@+V6EcMiYE<N0+f=0{P^WjKV-NUQ~AH?f9+<p@OS};jF#Q)Bdr0t)Lo2
zXRB2+9kswFaMy3MzZv)fbQ%|nSl=18Wo#@~3v}}v2A8Pj7_#@mh><$@pA{wtCTKxj
zC(~ogPjiHP54a@rNF8Si4j$w5*Fx-gAHQRh1s*LioodMx@SYW1Q$x~%@SCqCB^N9a
ze%K{t&2b7O7LA-fWon}00e{3k4=ap$j`JoqQP7t?!^NDY;$m6(f4iluG350tkn)X!
zf#*ZtHj}8Z)%txb_?0zwiyXe|zDz;upirHdqy~aj=cI3iG9X8r_(b|a!C>Jbt=Zq|
z$jNkx&Rb$YVrA&9{3{B=7}wk{)~UhlefthaGhiahR<tLH0t1b|!Z9IaxKe42hJnD3
zcMtBnX;a`b^D8@trT3e*--*A^0`3`6JA59i<8x|qHXCc-+WfXo?Y<89JiBSSSz8_D
zUK^*JJe0uCKJ?%HLO_K)8TvPcrRNAoOuwiCYNF5CM&to$bNbV#zLGH}b11YXO%^>H
zzkWV<0pPzHG~+}jqm)zN(>sPV!uw<t#18^t|Jy$Ha+fM{+O>-JDoUa&TXoQ86X5-8
zg&1&I1&MC^?lO%@cv61mLVyZzKQ1<OPn$B{MR*0UC5q$lxcRB{&kURv+5Wq2NeRrU
zZ`)l71Z-^43ER4lfi$THe_Uxwm`#+}vhKYo!rhJx2Yk22wu6%6t)CQ7N>^<@UMzym
z+Jr-&!>pkcp7dJWPaa?XXlA(Z3FB6G?2(LdD@>X%bB!;{g6h)m{`|EdgcQ?%sPD2u
zd4s+7?|U+Mu-aG4IVk{1eHV-Qx0YBFuWz~`QW_t>=a%q!3P4sql}pLd5_3fXu0fln
zU?S9(y@nuwrC*Hdf_e*#{_XCycantWo~PGxg#>WW@n_Up8f)Iry8ggU2~>ORxka!S
zK$d&C$iv&_Xsij+kv&g>>|DtGfC>Su$;m5>R5eGy%p|XV4-rw0lvRHhK@6UaEdF=H
z496W$>iQTH(a^_p|E`P>#;<aylq;HHrg8d>VTCxdy7pV;3JGI`gKg_rfhqP=g?%I)
z#6kYCCD}(^1nF|bo6}TN?3GuT3HV8X>x$ja00U9*YOm?%tuleI=*(114FS>;2ge@_
zh$8ZZ3-P3#39Lq=1oAHv@M5Iz(#1S6@Jtej*?q>a-A}rRBmzD*&TZ*9KtO%pTmS5E
zWBmD&uGn~yfG!>;*~e8JTde!&uSJY89VBj&d!K+RrOQ9UY>3b)_xTg|&<KA-n|*f=
z5<m{+k+-oUfy5QG!0T;<_t7smmuiT^aV7tf`8Ej{WT&*X2^t~%8FR?+v^dy%G;g%V
zN@CCO^=$QKmY-iNP^g_3hq%3)!Hx<k6wHX7zkGrYuinwEq!=QOxWatTk~AEXpZ8?g
z)A8TPEt-Zf35Fe14#RD-a4&c5DI>6Wv6a#OrJ4j^K?B0-b2;Rmk^L4wZiusz!xhvR
z3E0?QIMC*xfOhjliN~#mNGmx%^~X^Xoz5XsPM;KUbg`a?qudZYeIXfox>BeVxTzS^
zsDxl<@>|V9L*x#f@+ef7h6;}-n_I3j;zJc%xLEVNk1CM_nhfMGM3>H;P=Vev9g8s5
zIkykoX7ahn!cro2!F-=8{%0rTy5W@}dPBT+jvtppCwoa_^>#8^j|KjhJZ}i428FG!
z8|2Z%cuzaKK@GiwQC$LBbeyTvqn;2`MDe||Wv)zhoaE{JT+HH{AvNfbv8fV>B?&o(
zh7{QS;qz5^MaL!~N^Z+H7SH6`yjm1B(3$-|1zsZ~Y_#W(B9|z`BR(pDpOcExgQ3@6
zlo?^{-r7B_{wj#_c*;1{M@9d<vv#<(F}P1WOX()7!d%vcqLrfwH`yR&!)Ie`RHJ5#
z4XdJT^Lw!Zdo9%D?KNFUF@YHSiMRaM$=D#<9qRZ-3o_S(_1<kTMM6Ps!|Y}?C=}lG
zJYt~@jv!g_BeJaj;!C7j`HC9epHd{ejn&2>2j)TlpJwpPtkD&^u8xOKXOA9B)y9)+
z1v6pq%ptVv7PUx+g23|l4d?f3<NWe+Q&+78hTa>eDBht!g<3SaSxy^{noc)O^DM!$
z`Kup9HSoW(Ael$$tb6w8#Q!>Bh0)HrZPMNv=-{>Q3hvd!#6__T1rKW|IxjV8rD{OR
zxZ<nS7!?cneEqEw1Gd!hXQ}xbs0wsW-`>vRLjEfIv0erqvOjz*d_@EH25(+xBv8OU
zq)A9HXZfn>jDy`i4P;x>S4vdXVg3G&WA;(N*1GHa4P_0u{A;sKyhDZoCB53I43HmI
zCI!_}aGWY~{Vq%IXHNIrXL^7E4o&Sc6BgGwyOlC>l(C}HT<$dq^fv_h8(mXJzPnqj
zwUiR7a;h-(9q>$m_Sz{m%xD?)McB(@@SMJ&?*!n?&Hf@oLk-umiiL{eWiT#uF6tBO
zeD)p1SA;ysAS}F9>HZ~&I~UvfD=PtEVe<o}$5cUYkXu`FlLW`eaPHt_AkWL-xmT_V
z9?=@U{<|cOGvW?+6So2R<_})C*D9lXo&Sl&CNbQO@qU>m4{VRBXx;fi30J#zXeJwr
zVxz)-^<Q-i@Exv9G+R)_l)u7g_B$bDN+3Xv&Hx+dIEm?`0PDg%E`%BZ@a(T0`&MWT
zA<o$mgEBeXTkZAJ7vTpRhm>Uqt1r|abDl`kl*L>!Wn*S1FYcE=_i&1{!ma_c2E`}R
z@ZwahkNL&}{{KYge~nq9=&<v^haf3D<u%?W=F5XEf>m~xT`gg7pz5$ZO%e)wY!(Qr
zJn-Bev?$Hu0zb9cq*_7(&h*EMUno4V9{;`7Uc&;0O2rXutQ`Ba-bSS&kO!0lx+~>Z
z%;7g9TR&w)MDhiphUPCkAQT@S?&mRwRR@)ed_Wx4{a3ErpXNoEKDP_ys2SoPt^FYL
zf`9-IMz+5@AHL-59~hlC#Z6g<<1!`$oIJC~#>R;sMBDTfpZ%tYNlj>WXX(2yD?_W_
zUjT&O&maCbV**#3_Vn2RF%)sctFPn>VqD3=E;7OdOPVneB4ja)-gNs)TM@!pa*k^3
zUt=_Cl+Au!5XJjfBJ+iZMG!P*BcPOMjIApdw`7lq!p<m1oIhC<x1a2MpDkq!y{g2=
z$)lo(80Qx4XT67G-|NE~4~(#A$)7I1B8s^wWzQ>a1U#b~<_b6&q4&fktujq9(5@tY
zdgLOG3+c7Gsnc{k_bqt-Yo8ci^z~-;?Ihx<=JSsn8FaMY+Wa}aQ4A`)$)pEyB<%DV
zKK+78N9b5;h?^EmpTntHOJx$MJ0tRp`P&dx@18i5ZWEBv{;TZNZ%Ld={>_+V`R%gv
z{zqNr;z0Q64mKBQ)VR63*+m&5R_A43@_;yY`)*2+e=37@-xkeAV2FQBsfTxD6TzNy
z-O-yVhuwSg1NW0yToAHM@C{_~y;34h^rJjFX6Mi6&eO0@QZ=T2y#!V}ZdW5o5#N{l
zjLkmL@b;AVu6U*-Qi^?@ItrEW{FTC@VmA$m&KFKJI7^{VU*Gf2C1r%`cD6EE^W#P&
zGv5$tl-2LK&By8ywg#@wH$KylmGP0HmnVak?4+cT)2i4QQrow7kp?buO~~UhSsblx
zInsWX4EMDjmp73OQ5U?M-OffH=e6sTyVBLb^*Q&@n_Y&WNh&zD+*g2Aq*eKmJau^e
zt;ra;XNYaTL`6Q6ln`&Y{%X}d3d*M|oudWmFm(w%k=CyS*};fI&nh**-1bOj-*Gy$
zo{C>KE>^~c0jsTQl`JkWO&Yz|7=a{s={F^Y#kr`*0ZoOPIH{d1nwxKgeV-~5_pVa~
z>1}_@t9UJFjC6kyay7<)d`@wiEEy+0xiwBYXu~vi-#!td367uqvSo0RjG{Hn7lBjS
z@O+c0>@#74(!3k_)JioxQa1S*wpRxM-KNppU8ZO+S!$bzRL2#@ZE4Rc9V9vba5Zl-
zg9(q3$#!)Lyltl!WV>|G-rGI3_nA4gyL=>*S}AbV7x-57KnLC<OW(CwJ;H6OB>a$@
z2384*S-0GD@ZV!+`RM1CFiR!B-26fVdG!U+t~J_tY~1zvcC!_HOCRxGlB42WjN8KA
zK`n4(NZO1(vIcu=V~~Lx6$yv;nDKOJVkjZKctaKg@*zUfqkE|^9}oT8oJhsckjuML
z8ep-S^xevniccRtvPX$)fOm|qSMD6ZHX8J<QJsoAKL4|L6|0VS4X5(CSpFQLVr<6w
zKMnl+;oAN56&XfOzP&<%OuQs*dYR>^0nLW<a)ZLEu)aC;DUrs+dXoq{(Pj$T&ynJa
zU6k>ZKdB<ffr+$>2Yi}DDKNUe9G_sKh^Va@hW1WO+>5GT_h79$^aH%g^yX#JajC^u
zkHJJyfcysgAT{VM<xs1JrLaKf*q={kB1!k_S*>Gaqy@}mHxMPzy3&7d>oRa@WFJ*H
zQ56^YjHPr^#j(e}JXGry(DwXY#es7wI5Klo+s0iCoTakOtE@hf`E}i3QYwoV6{L@A
zyM<YMVI`Bd0nqBFX{cr>f#zLKetJ;=_MtzcD!Bm#`uZ7Vh9a)$+iQys^MZY=tVu{D
z1BD|avy8p+_~2Vqd-cg0v>kA(d-u*7!3yG&28FT+ToOILK;(wyhn4#;>DK7kf2QE<
zKWY3sr&;v(6DPcyPZaZ~S)qta>&w)BDOi7`c{%fOVx%#`k8{=%3vR>QRCY<on0AnO
zQaR8dH+%DqvnA9X>T-LQlVHM?C_(VyfNl-@nQiwh5S?P@xNw39`JGy}yQ4S|klYh#
zC2RqvjJgdM%l|`4BUGiHbAUN0&(0HRj=#~aUJ`Kx6nc`6W;$@f;<egV$$m39xBR<s
z^o|%D;%1y<e{+K8ri6a&S~K_*&2QcGQxt{$_tvDo=0b49j|k02rszNOwdC}6QCQ!|
z>Z^Rt4L9$|Bblte5UDA%ovm5~EhgoHeP7lfzV@&uHQxlyQr~wnXNA%7cBSAYi5Jf=
zXjyQ{o51?Sn9dasVbnSvtJDhOLsnaogj23DD<{^Pj?M{T-R845w)OFY|D4W%vWhX3
zm39l;)d*pKedFb|dj#?BTKBF8ca4y4!RG(xo)FSGJG*1~g)w%wx=q2{2&^b$aQc-H
zXx8(Q-#bN6q!g{2-$94);Dp%&abbv7rpB;+5Jkzmv5Bw%I{wjl5>A{J24_uLTj@tJ
zoVNbE+{Q)6J~qEOTX_+@I{aWN<{JU0eJ&;bEipvo-TxGmK8wI-NAB-10ufSYqOsl0
z5YN1be^Y!#kvGKEU$LHq28oB#&Rm9w$gFbao)ksxnj5actPtYut~X;-PeZqdfUwgU
zF;JSt8><&3;VkL1zA2Ul>1~A;SLp=g_MX2}5g`r3+9~+h(s1DM)`MmX1XO}s)`e3R
z)n)wFt>QFH{qwnbwp$#%*W@yH+>^s0o{Z+l-wcr0-gsi_2@wKUj?V1~Q^3oPd*Arp
z7~sy_QdwgI35y-;o_3IxaP!%j^!tqlh}eH)t^WrJy!RS7JFLLUfia4051tr+D{-r@
z46hUt>ZV=_s;OYN<>e6lRs-bdbCq&zkcO)JE{7yzRTL+i9SHtvfQ*ZuLxf6X;CZsB
zRBbaETMN5w@AA;FARWQ|pOhTbgS7~H(Q0rx;y1H_Nkd+YM%RbyEdE8;P+eIZA<z9$
zs7RrKR^_(4-Bb}5IAXTNcTg~0t9)K>hK6k)tKXlFP(strL%Zh|HE>;ib%D#z5L3P`
zpYvIM<VdgBI-#VA;cv1YHs1}QVXY=$V5EXwbDz2XXQ_o9a}%#i)9Lt~bwtoiK@~hP
z-5L}YFQTfmT5oPNf_aK+o&z5lCTGvfUpCdjy1sRK^Ge3>NTZ$zo+pDAUH^x~r;Fol
z7tTE9WA%}(1*1A2)Uc2Jcz{WnF0A6XrRY4SkbgbUQ1D0{bK^0>F=~2v9?Ev1Qo;<E
zHppKLOQay6_?BwDj~;&R&owzjH%HnaU+U;u4K)8WXd2(Hhp?4(ze>F<fUkGo8-Le;
zGN+*JVPQRRzx#I}A;A*UveI&w<ESt+JhNHlkS=1_=Fj=ux5CbA%Xg1{qvAc&l(Icj
z2gCd^+G4M*VP?v)I%}#4THQA9$6?wyc+_sUZ65<Cc3je^_11*eSQ0ydOAAr+DLFs=
z0X@~4+qXS6@o?v>UQZt?mew4v_vi+SY)ht}XlbH%I@C__0tL0quL89iOoUuJTEXn0
z;!9Nc!@gWKl;v6_+J-X071Gw$=}tvw+x~*ZY*o-S^_&*2F)_F4gPM7n1_Y0HL@#70
zBhafWr1~)v1NSD9f+s0>^Vh<lg{Fv5z49r8r%aIaZf#NEr6BprkxK1ASqSlJDK?ff
zK{H>JEf!WscDF}o+-FJ1oBbuP&0r#+nXNaUQw@HdKc^(}iMSuDQSoap>pqR&{VJwa
z@#vQR-1>SkxOy`!we*-EZyShn=u$!2h(%n&USSLmrVyFaz(JeGk-=rkV9aEVn2Pe_
z_}Wia;rT#cF`xT27DqOpqSyL{uEDj%nm^B6fKR+!9Vb>5@HZ`;FnEv?^@@%BU;i)=
zT=;mM+N2!9?{!velxD{XruCUWjx3J<Nj~B-BZH?Kc&y)CSz)ZV@pLlDv_{hPl;l|v
zX>2c`t?c`~#Hb4mJ()6Mh48DUH#%G;p;MUsyxrh0!+-L%>=Bw3t}K1IRaHd-@k(pg
zgytgSi+98p#Z#6jKfkyx(~=0@XZ8xFFBTXJ3H9P`Jr>ZNesJvGC;>TA_GOY&3k=(%
zjK%v@3)C)-#^*j1!#_3Eo06v&8E@nt#$G>V4&7G%Z3P9Q*gwHpyA=1AaW|=<KKLuE
zUt3t|GW|v1%2@w1@AVRc%2lgl2Q%zEyw~eoixAu$-J4$dEHlh~PaCW+G==LaeY&}i
zAXaZXADJ*%WkByZ_a$LdgdHrDUTY)(z9Dn5fNN}sOZWiwqbB&y??*2NKTh~mzo1pK
zqcTs-gg9divdjCr(BphaeiobBG|2&KN$M#-KV$IJKO5?q;l)(LY55I?Tv#8^{Gt5S
z2oGhiX}g~1g{|Tfx2Ko5QPw!fzkR0>R_3`zv$yb~M>r@xcMT6(a$eXd4AIebz&^Oj
zkr#2-|91UJ<HgEXg5;TCIu2bUbj<JJMS_1&=mt}MB*)1R?*1`^LkN5DQXwzOnL7ec
zE(k#D?CEz8&l<wwP{i{VAwImgMo4_c>Y;&;6OCUf8RC3v8!;!F4{@7vpWS^Uf}ihW
zW7MC}aER0TzKk<Je4m7En`QN<4>4)Q+`DK<IF^1+S499jt+yLdWeGU%k*-&@h6Yll
z+;2g7L6Dv%#HP54<0I+L#S4`N*fBfdZD=Kg;o#@36}d!~k9c^j1{#2u*z34EUKqWR
zJu`H63B1@rS$~pjfU1Tw`f1-qux#bXfA5$ij=i_8FB;Rw%ZV<Yr6y5`cI@`cCrTsj
zgSVp8Lw(quqpKb)5QF&Jima2ZGWg#9{$^&PK5|maXc3tNnDf7-pUaek#sJ?4XMjG|
zTa0Mb7l@<Tqw;t483o*YBXVH-CVdq5N2W?YCt{zL&|$ZAN;qZM%w21zkEUJeqYkSi
z)Uy%0O?N3H;838ZpMyTQ1+??OvG)H9SE0DWX%)y^v~76ep$}o+W{u=0QV6p4%<Fip
ziZG2>v5iOck-6R@$Ja&%g}a^XFE5aht2=eGu2dgfuiDy!2V@}=_-aR^ojR0_me^kW
z)W^4RPNrt2Jo4|a3f#}4fL#A5%EHwEt=7)gx&Df1-}{l&F|UD-)w~rGEe5PS>&(H&
z>SO)t&H3>gHPNi6qn_kSgFF9BA$z_uT-5KL6}+W|$I3QxISVw@FDuq9+){y(`Y6Tk
zn>K!ESd49~GsM#W0?%B(uL{etR3SSRU3}&l(|5|I!)T~RfU}N_q*5x3&GfMCuFLu3
zmyO`z`QT>q3pK=6-6xHR>*ElCi*x#}F;4SZ+fTk$2mNT6UqrY*lAmxm2ltzR_UPV(
z?n??nrp@9?AFy=U!xJB;WClk@n%3JY4cK-rDmlK?$0Gt&*)-Z5GuwLV{yR^_MEN??
zdo}uaZ%pCP>9s%`NB02JQ4`hWEyCf)^r4-$_D-g$6;$(!gg*>wg7B-otCOIQD@kbz
zH!`ddQb!!-bJxQ6q8+=I=XJq%vc%}+00X)+cJG$6v>=nbWp*l92V2OQfo*4jZ^L`M
zxyrO~(C$OahjcCAuhm^%0uu*=E#?PU&)%9fe4CF_;qm#Ku;&>jj&|$kv)gOIQ%8SV
z+K2)d_vAO92AF76m$kprqKREPDi`Ow$?)B(yZ(cU4erOp7M&((g6C63tll0KZ2n)-
zn)dZJFm8PpYi>z}wtvs}<Np+4!AWUz_p||<ho|WtYYo)3eAij=lSRgQikPyC4RT)`
zUrkn_ppS9c?1~I4zg@dqkYiwjm(hGrYi89DXVKeEG!Vzumu!AzY&LjwERs*Gl#C-K
z;=!APMS$(4%cmQdF!-~6U({|@1YD$FYw+Ylhj4|x<v}J68!>tu#Z~ZY$nHGVfD3x<
zllxm0nE25s&}Z7F1l@C*Uk-P#GOTJo*1c!~NM?J@nf!{Fj*Kj}9avzjY|v^v<O^gC
zpB-4pkwc1i8~Mt<c?NlM$Gv?l+toNGb?Uv740uzNDnDPCVF<|{x-)LVz||__=2!(O
zq`v8tp`?#9OmrIwg$JxrmGI?{fTRS>=L}N6o*Q92wDRY4xNC(B3F3wT6C%>~{|O1u
z9Aebc!UGq_E%D8nXy$%`fN&Y!{yg<T#<sL*p#)7!oRV)m`D9KM5#Mh_FJqALW~%9J
z$N>uo^H1L@BZ**RWV&2~%@Cs~+u8X~tvL>~m=xX45X7CSufCnj!;Gniz3Gnp=1{+R
zZfuP=KX|`H?$UG~W$^A$tq9s_24lma?Nh<L_&)#u0RR6Cmv=bTe-y{9WMy4@UYBcc
z?zMf7oytgPC?cdKN+dIsQK<ZoEvuyLRmS}o5h0n85Yi+>Ha~xTp65L0IiK^K=X2hl
z*IWJa#bAB59~jGI=7LR)CWPM1EmwU_4;D>Tr8uSESc=F}$r6_)$Xc&$WSH&)Nu#3M
z;VFMG;bW%_RsA$TNOKdv%1j4Tg!aDL>_sfH`?=BjXEHo?(}|I%rv>q(4{S{Ff3fvX
zK7&f;WUyH`n{iX2fp=1!E0T#TSl;V3PE<>RIvTfwxEN{>8x@*oEnmf=33J;?@+2Tc
zetEUZLJfw$Bo^6c*RgV{ZSMR$bx=4G@l&aW3f!OG-bhm2!cMIZQ^xV?kn7=wBj2Th
zGl~nD8!0>3gXP8~-6v`gFy)#s?MDSJ#YW4e@l>!9{HLyts0L=w?|t`*p@L=(xz?l8
z)NslChl*pdDhL|A4)Lj{0=|6Va=t^f;NtPoLQY2&l1<MyPVV*d%;$wsL>nD=dh(bl
zcd3BMi^>0}1E|6Lvna*JfgU3MIsXcER)NQZrw9D$Y2d$ZN$y}~2FS;K3ewzEhOKjx
z*Pw(3^sO&3YmG9(@Ab~MTPe!$?2h7a#tm9nXxWyT>tu%7g}75Ubd{l&PexPb6deqg
zan5RfIRGyYQR_9oRf5f`LYB5O`+(DFw$7KG9r~L>BpJk&;P1|fTTgD&!vuvgy3dRQ
z7Ef4ybdOSmV;{?Nl-l<L>(oe!QxYfeXojv9tt$ZEN@%*YG9&medASr(ae+<p@3n3}
z1sK{tJP^^y1dA(SIYLp~P+sQhyF{x13MtBgH+@*(VzqnOPeoqP^!a?`MwUFREl)*X
zv1Nsfv~CZRRX!-P#s@DPmWP)e-jhMf>@dpG7;G{v0Ou_GDaOq5V0A@l$J3Gn{ziI)
z3@;0T)dTyeoC!Hl*tA~ozQYM~cQkpj6+~exPShmf-Clfx{_3A09E@00a$Ro6L#KwV
zDovjp2u19FVr<L}-2v|t<5>tWSL9D;{7(+{?Y>wj@8N+%TT4`8?&2`0A*vyyD-T{}
zGmeM-_<*hDUihtk3D8#waA<rg51*{GZVl)QfY_B_UN|NR%$F`Hb?7O8$8l?^=R_eG
zR+-IEoR)%a*Ei{!w2BZGW)zzwCjzRM?sv?D$N=;5XST!Jia-i_@%4ig9>Uj!#-B>a
zfttVU=5sz}NX#}q`PWPg+7h!lrQgZJ##NH1VV^SiD}Nby;zNLD6YlmymlT1+CewrR
zQUzQu*9t!_5(h^As65(DCD`KixVrj674kZQ-@X1J0iS-`T$89#hW%>zTdTcl@a(Ra
z;kK+Kq&yRue(azE(%m~TFZfANk#9R{c~J^{(N?$Av<gsqrE??hkinpZ1|>d`hN9|e
z?3sxwsD8m7ad2n?t0H4ZLx&7_y_CASaZ44ROltMjRcpbxElK;!s4N^m)hJLDpbD|G
zMp?<8I^Z%}xftIi2Tmm-#3}<-(2LOG^HS7<3+lF#<Rp2h7i)ZC*|E1LQWwJbf9gXY
zYZG0Tk^+n>PaEcNsK71pJ1-ay0T`no|LBJb!1L7Ph>fr^Shr``XtNmr)7!xUtXctj
z<0kY?zbe4}Dz5f@jRtUGL+XKWssgx754U)d<zTV$_k~t#Loo14+xJ&T0qiGO-`1E)
zgNR~;i&2XqTxpG{QqGWv>NhVEmQ;vfrd={2f-?gDcO6_Go8&-$Kk;S}7Xcm#U(cMz
zjG&`-rAMh$7Fg77yIjJFz{-)2+kX!k0lr`schE})Dh@rx46XU#R4}crmWC0$Vy{>}
z%PbB29hB%-v^aQoi$9`*!3dI%+<jtpPZECqizVH<&jO-NH?y|(`dKU*FKt+t0F8rh
z>}U?rfsS}v;J_6_=s$S4W6en%-fW6YVzC=oq@?!oW+p>Ockb;pY!id$%nyq{P0wK}
zgc9xkOamyEx&EMD4G-nnnjVkO4q+aG?mjmZ4B*Oqq08;l!m#iVJ~zbHQ6m3aZ@Byl
z;L^yope7#yI7*6F)S>@O5!Rl2`q3DGWA*x--_^W8bNxrh->6xNuVo`$Yz_uKF_)j+
zmg0uXE6dg9biXNa<26$cDf-~%>ovpE!3n`a@+#w(|4@?gyLn<$dhpC+PO31S9en<N
z#4#r?P<|(rXfrbF!HEi{=pmy6&=qq%a<FfK5@zb>T&S%JhYuO`h?Fowerxg5wucK8
zhmYJ}dA)UDpAWS@haWv`?Cw7j_wx^>p-(JUt5_SVK5y6DO`-)-T_zz!Wu9_^F4}K!
zQ44<776caVr-ogdH)&B4zbW+ivOhUGT9A9`QfWlgHpbdg^EF}i2j#}&A5%8>G@-k3
zW#-qtb!_OWpzZTV-zZnyuJ0sHY5?8*8>jCq|1iO!#6?}buaw?I&NFx&4Y-##a#&+`
z3Hw<1aO3dG6lI&?NN`aq8BPY!%19nxz!=)&WG=m#q})g~=Uv?)!HVARx{J8qm>tF#
zXL8{)Wn0Ndy5l?vHZIp{I`DtTvWhJN9pgqQ_{Qsba|7y-)S^nUdpU!>!sLD$?F>@L
z4W6G#rs_a?lHH}>_yx1!+|uZN)knD~<o3z0P7SQ@WhNN<k7LzG0(qN)-&5+hJj!C#
z)!>x9^C^rpigA{d5=?nJ_vU6WZd;}b#dmJ8Hzp5Z)?-!;OzLkaq@K>kmny2TdQs}g
zSWG|0+0%|Y*NG^U+qPT*RVr{Lykf+5vlsjAVq6xI@rv@1_fzH*T@^6PDlv{P?Z#Ri
znR*>AmQ&hp-tO4nt_&X@=eyEMc4C#J!+AYzPbon+`OhcX?)_^u^ZBuQ?bwCqA6pY!
zlPQcp($?HNl|b2LBUI;0E7q&6231;4l*$r$*~g2DQ05zd0^4cEl5C~Q8Fe3FHxCt<
z{wJacO_P;>k|LV0?=`jRwsAR_2+hq7)uRe<T`!;V${k_fcht05f{U=EXz7e2(ekjL
z<dKr8O2NVl@VOfd<(SW(_RYFBIdHr!+%QUP#3qXvxUP|_vAHx4`_qhakdw<@T$kK{
ztz@|sY#)D(8R1zCnU2cBpm;{ya6kjbTcINp7}SVW?u>inX2^gOmu|l2+Xie(XW%ix
zp$QwYtPH0ABMk;U{9U5Hjo629&(fl(77Pn;*2I}egLSH3;<FG6CV%pjcWciZZ1KH;
z$@45JP;v|s{OE<SD&?M@G4;1tS!v6mmphVhJn))=r9~5F{ax>3cylKf=h5|L$5|3W
z3~eJc?3yv9jXwgRA>G)6y1B%#4kDz}&)=|*Zo!P{MzdG7da;zO+p|I>B1{Jezaai<
z#kTq98I%S-U<<*c<`sDoAb6jrsV}e%8|w_9TYl7!%{TR`%JWHp^?<d$uEAR@joEQt
zHee7-&Ew?18ZQnL4@mt>I-S^jfD6CqqhYL3qAtRfNgTAswDa}6yD&-8Rrv4o2sYU{
zBK$9k0Ft`5pNh@)U^8RE*vPptjFz(ru`&}tHCK3p)Z2?)e8g%sCO3hVxk^4xeIN!0
zyEv1bj`d-VHddk8B44nxkDT-)`NiPyGtQl(R0CLb`j)6}?-bU4^yIged_08kx;t8a
z8pNn;n2ug4nZZuS8Ydc%@Zi-JVIlHk7#q^-eCpCPi>XvjRnEqX0{?vnAu**<tTuCg
zevJ7CMyK=EKBG<qMx*_B9V*7Kpu<oDiNCO)MFY{vbHZ@p&%NQhffJa}TaDU6*LjS7
zz09tQC=4xYk?vgPU$B}!13s#z1+4apcZ{~H5cJSkrrGRFVb_T7v>5`HuuIKUrazwv
z!msY_Q!l1wuv^<hS8d#uF;dF$q4~c8aL+62^U2LwY;pRP@X<T}u=8d7tQSlKK-SzZ
zMBefTc3pm-H}1<C_QyUzGA4r`C}ifGtS`T?i{Y9k_92^CU(5xo<Sjl(-5-7USN%Lj
zLwm;~>HH2BJ{-w2@4^Rn^6V{GmKQMmjtCd$2P!DO(lW&OffoW%H7iT?5@sCguq~KQ
z10z|7uf&+~LIIlDccpL{`<tG+Nt;RsxAw0G>9+I0HwHo3%Km>?`Ko`HXD>b6;q1y5
zKgt7#Z)HkQ>#SoPDXF1}CXA3_aD3+OEH{|RDs&3XZeq2KY(`d8dz|Q*NTiD9hRS<g
zKO)C=u-PP~^ZX2KV0-e~K%6!=bb2*z8sn&8wK-QWPL%^LrbrDGZ*u|hJGzoJO9Ll@
zmX7eS;{e=l>G=$DLFxIb%SY$vAm*hoIE!(^VJEFmFWztgOHRn$Zu$M7ocfIF#wA{`
zqWl1celC~}zNonMoDn8D2U8yW<%b@AH%l{GZm^&^y{hTS0?Jz(>>QLmzPppvbo~rB
z9O|r%HV<NhH)%nxX8oeza6*p>|C1Ze%uROZU*&-3eZQ45QpMoMvT<8+1rPY=Nl3r5
zz`^_UnKuPK;$V1Ucqyxm7m5x2iEmDGL*SauZ5Mwce7OAn#e@n!bWAfD6SH~2H;v;^
zT%i;gmygr4?H7dR#tC~l!9D&=yRn!+x5rr`+Uc)P3B%NtkHnB(A<)Dqqid0S{Q4z*
zibTM}*QDT2ADTqrvP0fhp`sEbCG;5R{t<)Z$Hk6ieqx|T8-AX1O&R`D)JLlb5->_T
z{ku#~9RADo3Tt*!-Q$xq{)_J<!FZ-$IBP=!4luQZn!Hg1=@q(`?A1MeyV+}ZW>ONU
zs+FA13X#BnpJ7UBg#!4-t$4)^NrQb<`Fx-q8I}$#h1JrkfK1lXC~-g*3=h(ho6l%~
z+tB=7<y&e%y+&io*DVj3EFTtYMKwWF_g2wIO){L96l66nSA-8=>@A8TG-2bQrQZj2
zEl|yjQyJA%hIby;5{tf?ke>N5Ji$R1-dt5qDB1H*{iaYlFrxwKlNVf`KEhyTI;2=5
zSp|Nw1`zmK$&i-qHFWB<0Wf5nEk{wS0>0(iDJpIf+>&WD5*jcB1{e7vb5&I+ylHe@
zZ$=do;~$v~2^)jJ9p2PBaaG`#IQF>fkTUF))H|BXm_YO+TF$tB74V8_p;;S}1*L1;
z;q1RmK<8tzoQaVNs2>xW7#ouSJMZQsHAho0S3Gk?@TM}bwDr$FnHPp<1^`(=roZ2;
zq9RP;@5yr)+LsmK@(E>r>W`eTV$zZ~;ARTv8sF547Rp0GJZa@YJvE^Gm?QM8rm*YX
z*d#6?3utiQ>p|mEtn5Nk3DZ3jurc}dJS9*HlEpR({nIxo`6C%|y+4g1@7Vaeo9z<d
z_#oflvJoTN+IPITN6Q#GEpnwhc?j^5XVx&Cg#)=h$>>lFGXf9$!2@bbB0!#UE^o2n
zLZ7X9+wZ+I1U}1=g1RMsm>O2paLVIBJ7<bF_yi5X{DNKMMSX6dzO>DHP=yc8HLP*a
z`4~XOv2LS+adsGTyIUVY<VQW}l|#RV0rWTLNwlSm5Hpvrc=stk5^_E9$;J%e7mAyY
zw5NgIvM)6$!~Dql%NQF?1O`{XpG|Q+xr&{`F^UTI@}peyHRY^0eXz{@@P(mp7Q=eU
z{s#*9k+a5n40@plc%6`7*8@*5m2XnQ;}`hR+2;RZ?~Lg}(sS3woP$%8Z?rcG<)!(N
zZtzzfej!~5>|bG=>{_HGtES3E{NzJ<njB5t7j%Fi{_w{3{dJ00#huu#8b0*%-<qy$
zt2TI>@1AA^DunyeM`%vuLpIx4Nq=OtVZU>%#*wqMsP(6&Z$u;?YVZ*q<W1EAZ})F{
z!)o-%v$M+LeLNqMu;}*e!)d{3&F-BmZ478`#+vtNDIc<uqE`q>(uDrIC&K;_n9=*R
zufI6<`q`rQfBsBN6TS}#?p!-|01@9*{mRheM>R(~>31tN;4C*@me!dKxtRwT6N~tf
z<-j|!W7ZnL{W0~_N+CNEvi7GWs0yH`(-WbO{*qyf>FKrZ6b>Xkm|^pzUjUsxH9pmn
zNrrQuHvTw<bE0@*n$Kggf=JWoh!33&8N#Fb$xkleP`2xX<+8Iv$YZiK=FR~!SibsI
zpk~E|S|29+UOX&}T3-;}#(W^bqq`I3E@W<0m)q|qZy|!*R3OYFlLR-O+l$DH@gU2m
z;StNOqNws_sd<<W3B2cu<qbJ_(Q4BqZTmqy`oZ3K-rSZ1XF`LL4>0hd3Ps7!E#L8o
zP&^}}qfdghBOc1d^!!NL|BO$<LosA%RogSJN`gGpBD`@x05#uM2YEvRGO_&kwRtZd
z%cN5rAR>q)2&C)Q>jV_w+w<3dug?ATnw~3~Lg<7+X6l_Pag^oDFO_6Z0x_-$tj0kY
z1&cj6$8tjgO-)!W=LV2qkhY<5CQ<|ilm!cpkcj9s2wxE|CPBfg^H&M=qDa2y{nOYL
zA}Z?Q)eM~{f!6TBz|;UdVspMfa-&QV>ATs9GU$<knr_bfm7o}6^gSXS=`Mvl@>$I%
zQ^-KEPz!Nt5JUCK|2ADYq|qtGFxz!H4cN~VZfWR5K<Ntt)fbDUkqa$tJ58_#T#(*%
z{j^I!7Xr^D)oaNh=k2+xj&z!E&sL=2LWVffs5Y}ZTOxy&-ftIjC2PWy+KH7Fk^~}f
z*M2&~EQ@GX8!|fgbTy{aJ?&(>1d3Fy>H20ai{e|>KGuEGf`=Bmf6T3jD136JIOe=8
zvJ~{rtBuwMXVY*O_jg1@<W}=O>nw|$BciX!>gs@hOV;y4T9RlY@$XM#k}OI|QnVIb
z(1F2t%dOlbNmR{Ox<fxDgRGe74xY);1s(myhX=n%qJqmmJRY8xL5mXReSubbu+5;T
zZOto%7@{o5^zG6}6g&Hsaaj)rHcC#*Ye*sH^NLY#X`~VOn2-za>qEfHr+E#S6jGzy
zsP`6;LiEEo*7SKWP|s<&=cX)$reBc=Wg?Pj3OCV;i^IUC)kv0;Q3~;%{5i<WNJK`{
zzYLcbF;EgS6F2IVM1HQvItQl3(aE4>3kf`c38Mr5{u`1g^3}x^_bLKn{o2~it_zSW
zXZ?1ONfPliC)FH@5JT*9?KT-l09xD4W0~WKNXh?9QH?zwISaD6uN?)r>hiC)j*5uj
zG=p)Hs|XSuFhBWtFF%tf;8Ka31X46QR^P87gs$D+?oreO`2PLOOd~}cnK!&&l~ocz
z)D?^tsS*HX(w2mN4so<iSV^W>^P!Ccj}Hyg0u&t)_3Cycpx^Q1d?VRBXu(Z*ZMp^n
z^VtreYlUK{zamS4n!t_NY8`U^I$#hpsI72(8IN@Pe7i}5IP^j;Jz#!CAAW6Fc?=ui
zk%n*Kb*a~!D2w(x|Jz7?V85e$6DKW-xUJ2q0^f5W^1G1pM{xR}bo9p={}Ewy?i^zT
zH;x0f8lQU0pQ;B-;bK)kQ-zR(knAt>Fm|LA;JlkDtOuc-%sEq@f=Kd{K(v?uJ38~7
zYeO(g7i?wN@7Ns|K<`Go3g}AMkU9<VWuB-mq+6T~uD9byY5gJBUwE>iZJT)`Vzv&9
z)x6v#T;fCX>>aCCSJ)6Avn~C3F&!w78@o(;%!_h^j#GQ(vmwe)#USoHZTQ~zZPV&A
z4;t*O(Pv_0M_jvZp)Jzdkg0u6EmoTcE%oU*dLCy-kJ}bk|CDHf!aw;({UzM!(}aaO
zZ9O~sXNajVX=_33;7#@^U2Zhw?3hU=aUlGUsQMf2n()_C$=u-!7g|?z%x-StKz`Rx
z^u?agggmDu)%WRK=%yZP=(Dq&Nb!rS`Lj6<5PPES(&EX5zTczwlI6f5C!4b}e32Sp
zTHieS%AN}`S{G@w_Tdnd-oNikL=B+2nix#B<wAujz2f5eT*!BG!`0|58Ss4}3N7wj
zs6@KhQ#gtnvA61G6nc^2a4BcuQY;rLKfz5Z4B$a&$xF~ELWX(eFl(0%F2vBTywMlJ
zi}G&Oa7_1+;LA(NH?R4)k!(-!^NRoY5Lr9~e>;{0-RjRHN&>i%gjou;`)huL>9Wi)
zTJ7n4W$5kgMQ-HdO{K88Ab@s{5+&AnNl;$-puuDBKC<=QP|rPmb<|=g?ftF}e{P(d
zt>xuK^`lj6j~@u5wuCbu2+iuiTr)CP*~W{02?WuKtcxI?apL)?Jas763VAFX#fLaI
z$4tvL@hBszJ2wA;Iv7u~uNFA)quqp)8v0v!6z=}5Tq;r>sNADk7eD}o9SdcRY7;~G
zMP|QSqSWEE4_#i6h9J7w|KH5hBm#1@m^r7Oqz-*|P8t>J3!&y9ioNG0aWr!HeV%%$
zI!ySu_+;1#BmF=jl~YC%XfusDA#hk7I!y5AOanwv6TL)koDdN`cZeH##X^F_M~gD1
z#iD5Ud)n*HWg<G39RDQJngoo_1TG(6Ji=Wr6FAo)iL$82d|h)%AU_pu7b75s1ht8x
zSh5si>S{Ytuy2o-SL^!;&0@$ef2U{klr%cePcL@Gj|{>4cN-fo5s=H+y0{g)3>pYa
z&PiA!!~OfTe%ajO$Vk*l!KFe59o8|I&5qK5p=rzZ&IWN5A9T<y8<Rz9BQj^IBsGB}
zn_ZCBMFJ&6WD19t$|Cl5?e>TdnsD{Q(8=Ll3B;+OEfY^Ihm<`_Ul~Vg?fE}tx@Z3p
z(RHhReT9m0$fN1Pp&}D)_&hPUSS>7xVrz=~G}Yx$yZ<Be1x6kC_g)EUKbAyR7gA!b
zvB{wuCik0%dv&1lP)DpUwG`TD-BnL*ltp-V1(voXT`)ZAjvus_LhJ_apU4KX=$BPg
z)aT=RK%zTJOP?f#L{h^~=scD|Va~p+M0R}`|Gix$&>)4XsmiSQ+oVz8%bS&zb^7ph
z_1KFiol@vdczDL^9w`(^C4c{`JqA5VX`S_Z`KLXvpLME{MCD{5*3fYbd<=cGRQBrc
z>L#x^-z6eZH!6oEDF7Nfi8)VODHK9GmHO3C0==&pcTBVeV2ZTch+CIL{=K0jzhwgY
z+Az2M*azTrM_%>8NJ%tFV|1-BM+})7&Fl3?0*Gan#EkC}QIf!=mMU93+HPIr3Wx&`
zJTxap=T1cQg9iF`1QCR55i}K!1`sbepor=vkjSmm`lspy(d|buWA|?Y96Iz*>BxQw
z#2-H#oD;;4X1ngne>ejWIlfr1d{7)Q4~w#LdhsHWXW<4oZ2<4xR~4HP1jKMh?t^tQ
zH&XUuak|e6AZ@qZ5Yi}y5)H>Y|E}QB=F8cXxmpZ<XqxezU&EspBKAg&_c>9&rra^w
zLl`u8;#iN8@Ti$neq-Sj2m0o2%>1BFAG#%NllcCKpiimI37L-UDCeKS@g&>5`M(-F
zE)gb-Lcbb1ZOO19CqEw7i4S`4^Jr8Yi<A(ut=>`hTseTKzwFChKdc9%E9BN|lLF|h
zSSGCr-vLyTU^S}Usteb(D}SCT<wrp`k9pJHV?i37MG>t!y3la?@bbaOd?+UY*Ll>G
z1=Ws;K8UW+ftVXL@oFi&sIp5iP0xr0S)BB2u$9+={k7sF6%{<lyS?jxdjJdSuq(p7
zFVKdgO6lwj-?>pNH|-AZ4;GZYgfZR~*M?_vb~#deyviO~_4#z<0Yq+Uky*^q0_}oU
zn*Izf6qY!3aQ7%H66_5Z_9JS+b>rLvIU-z$H>`dr(u56#C{?jsE7F9V)-!eNwK(L}
zb5k-^i5-QCTDq%|G@-?mNhoHIpB)F}{ciNIqnnpn1@^aSfDeO4nzt$riK{ZFCkAsM
z-Nso*vYiIBGdg9+a^et;@xHKNj1#dbFEca!Cc|vPZoCKs4xM}Q%;69F-s!wm+7-FS
zlim{1O*kC77n5>zWC@2Zc&nf9k|slqXj?*}Iu2#v87u6+a-q7&9>3G?Ng%^%-zt9*
zhfKd)D`fA@qw3+Y@u5AwonqXPm#xGhkKt%mx@{hG+pMrSLy-gz{;sqbaB`tcW9ws|
z2z<!SVbob@PtTiAIvmu9;6m@CAG8FY;z#yk_6!}*)M4LnwA>gYH+rzb$DxxafNmd5
za3FfCLz=x;FiS2sx>!gvXhbE1rXLjMQVi6AxPu>iZpDLM8(ovh_Y_7QYZsl=1l8eX
zz+sa#HeM8`IGU}t_wEXKo+iocsKKtp%BT7%UR1uOrPcs=v=Du_`ou3aVBOHYJoT0j
zT~&Wpag0+83ACMiA3m)Hm0BVt9Zh?_X!lmr>tAB%T81Bu|2H+Dh;M0dbPJ$BQo&88
zE&}>Qc|OCsrUprs@$?Em1<`Sl2ua3rarEEqj|q4lb>NX>Zac{*j6Uy=i4aMbKw=tZ
z<S0XR(5ns~iL)0$KTGY5%%X^Bi>R2!8>|jU+}HPNt|+QzKH19XBZ-(+pS+6eP=^mc
zM$$8a@yO%jErlzmrO?INr(^L%5<Hw}zdWHVhTNzFjxFm+qp5>uFFkxjf_mALzX{*=
z_BZvUaVD1x%6~(9wVRy`R;n_p?O6nba38PFf099h^|wJOn+!)-bUh|dh@*u8|BRhD
zS;VB{O$5+@MoN<knOy?ahkb-}X*tAb)Pv(%&;Y*dp*)io3DkO#f%|%{9Qq#s0RR6C
zmv=bTUmVBD-tN8jUiZ58b+5hd$4HV=q9_@aQKXED1`RWkkz|jiC}osL-%mtH+9WE<
zPf}!r7XAEtp7T8C^PK0L*X#ZMcv05H?1mY5);m93wU>(b>95~7{MNzPy6Uk@(dMwA
z_undO5)JhW$OrZ4x;T0Nzn(@H3z(11x8b-<!$tT0qN(NeuUGPqSZZ3rLXTF(R&7o6
zIvn_7%`Y7k8YI2*<+g&K96{&k1)4b5^HIPtR|lQe@uz+JU<DbcrgHbrY2y8XBd$>^
zbns34_8QN6YgnnttV}bZ<001DL)uo_$o2lC@V_`4C|cAN+2~EjU3FzI&#cnI4t=w)
zn=IMzx}}6uKY)%`SLS`n)S}}phe%(>CpI+EpTt_Or(<TL(b3v58Zu70jLe$@{M{AB
z>7z(TrDwO!Hl|V0bFg*Omi+)Wop+M$pJ-yHub8rfk_LM1eeBjz4)CzzTBo1CCNA#X
z_QdJ38qQ?0eOn#?gjUUs3=Pn5EL1J1L{Akvyz)g?z5sX^G$ohHrr|mB;Cgb5GOA>=
z67RnPaPH=qDLq3)wZx>cD|HI^&b|J>#ZG`a;oN~cPc_i#$he8NoE)kNJ4`6n0!Y_N
zr)P3$VAa8xeBoMYj81MlxhE6A<j|zhyuLbap&A(dN|3~v8tPfkK!9}<iw`nA)KJb(
z?$OLS3ZB`r({dvVKww8uNdF;K^lS8uF8EABFO?31%vm<1F^5Wjl&RpINps)qgW{;e
z{!}l2fDK0^nTb9H%4nu|H~e9WDE>O<>s&i!1AkL^8b5L<;X6u6Q0sYNjQ1^0iw&>=
zb&gNLG0_S*{LPPKD<On22VU&j(rXR5vMYpqc;s<Oa<DsMRsgfIRi*|UtRZ^)igK}Q
zvbgAmJ52Nh@R~+=oJWlnR2~`L<{vDBjBD+r_y&GF9AUuuUfBws=6&6fZYz!7-=4qH
zn#PY-ohlTsbW6Bg&Q@|Yk-~<zAw2x${P@jU(<^St0s?*Z_e?rUBCpW%8KY@_RNf{Z
zI=asSuDv_F*Dq26clD7IC{Y4<j+RK_A2kQz*hx#bCJL&W4hwiu1#zc1*99jZb0~N^
z7Q$Ad;P|QGxeFXZsLtIN@weX$EI7VT#ubn;kN<Le_zGd%^D!<i)XNMW1Z)uA#3W;X
zQxr>_E`qAAFIT-CG=)D7kH7yKCSm`y#?jQhqR8hq%zJXDDLi|SXK|r|g!V$u4Ga3j
z(78n|xO~b4steED%Sa|+`S3l>N7dr!q$u_>>bMC!zv&n&8cV{$8jq@ilO)_~Y!GZN
zZ361M`y3CYkWlL2qFZPX8GG)0Yh%?IL)ziAHpgou9DK(*k-U|Hk)>u=uDcn-svbPK
z_<@A^MtfkVp9DTS@qO3NpGI(Zj@Hc9CZo6fcv|`aNj#m=kQjE!2<q6^jN6mR_{M-I
z`bx1BRyj}qi}Eyr?ZU1Ket*dLrFrPCN53>)4jJz_LN<bfcD5^~k5e$y$KkN0rYu^x
z$f|L_V!=h)hmk!B63A?9`12)M4n4}MhjWWqFe>3_+utRD?PEXgzFd+=)m{AgulBNl
zS;47db6OG^6X6f6QWUX;(>^(94GZLs`f*&_A%zR^LalVVGL8#y>xmh%;8r#@fx1o_
ztEpGqFYHl4r}Ps+1*$Aq%*(<`7a5dby59M=UKOu?>-g|Zkp%%7>Wj+0vY6*OCgy6b
zhG*|zJT^;X!RjKV5!(bgEW5*%+h?eb$#GqEmDVg!u~V8Txi61K`ob+tJq<Kl;U_A$
zg9VMmTS~H^B5w2kqFSg&MY)6>^A6`(@NnCX$@w596xTA_(8Hi%8L#r9&U+T<SKSCo
zc&&`jWSj(kur$$GoM-nvV<S-7cJ;}%t19R}ls#0yqGR!xXmd-65$InR?T!moMcvQ4
zuiezq!cNlUpEnA|AXoG*n=n$ti7JEPXlZRsy=pMF;kq%rF7g)5`lp7ms_O4crnON(
z=US2K1`~+M%S~$SQpc1%MQv;9ba2AwZoxx7Q+PB}8PJlgfpo*`eRf{DXjW-AKzn8i
zp4*0_%QjOn?3#hR+FM<GLwB(~ebo#U#8qf26dJxYaQ%IWp@*VX8~oza%^~(#cl_NJ
z8n!*QbLZNuhvfU-U;AP$pkc>rt)}go_{=(|*TqQ>i%zrFo!f5-^FlxF?f9;VYs>P3
z-*M<6_wx)N^)M?ivkNNbU*`EosSCNyvAXDVYR&l89oArC6Fve+N9QX$rxzaRpvSZe
zcbBUTux#$nkeBHA&-&QYr`_6k!74HJvmP6YI}J&y3R>8+^zP-;3tEUfss?xcWW%v{
ztk2J6w6MJ7`SyynbaeWC=iVw0fPOMx$F5mAddi*k8hJs(|0sebtkPx9i<SA)s^}Q@
z@c}8onu?ce?GMBc0GK}Bl56U)?5RgZBCm7Rv8*r^ym@UQJ*Mybon}o8e^kQt@0%*_
zif-E!tzrv})f<~K<TcSnP&<sVN(Id&t{7@-+rmPa(dCW)G<+jZ6WQ*oh~q|A{Z?w&
z!ntELNy6Dw<oV|i(%>zJIa}f?c*JdiRzSNiR<D89vPJG~S<<*YUUYhD65z|XuP&XB
z)lu&t@7Z8MNmP35o7&I<Fgw|@He)~ylaytG<vYpv=flfIh0_2HLVD|ukE!DAuEr9(
z=i)eZ?~Qw}D?n_{87=>L6}(+&$nCsR6rW#`*Et~!kX_hboy@O-1(wX@&-;b2&@w>R
zAcYN=x{m(2Wv_(JBfG3Bbp=poc<lnt*nrA^rKiJE6mZ=Od&w8ReCQI)=$PDW1EkCF
zNO4pSZ{(-k4CUs<T>F-w%tmYYDm86?(_0p;t$SX}i}9et&VK>A3f537pZeP2yEM9v
zxZS%D#f{0YlRhjQwSs%4THm2W3ODa`iS*Rw#>C*&5nqQaA@>XlhwPEW($pHIU>Y~B
zDIIg@Txkh1y-mA#wn*SJ(#H;dKW;pK#5aI`-2#xP?)<!yf;#_Zs?R*-#_vb>Q(~np
zU|2!uQ0{3mM%<k~buf$vy?-3(peC5ZpzsggZ7)g47sW{3V#<r$p!qXs-V9>9=)Rkc
zN%&b}n16)IhpwNL%i==J;2iJL#<Uu7tW0}7f6s&;CxYi*6pxs~rHgS1^Q*=2wdVWi
z{XqiASTF1`<8KN&1!r4T=fuz`;E3Cv+k)8N_#*$}Clk<8e(;7!6hoGX!Ipb!!k85k
zu0OQP1g17ck!BplaMJGT4f!e&T(x%Z?dLy?VXWc{zqpYYUaqjEJab$2%eY;AMZ7Vj
zoNhP1>>`F8_EVi*sp1%rze%B3))+EX9=RMov%LO}tk-^&gn5<2?O$t+K)pWIEBlWa
z9ysA-PB})#ZX2&}eH)E{Jc}VRPU3jyNrGr<HU-0v3!S_5Ynh)RL7clUi{s#NCyLTt
z2|PWSr~L8~3(S<o><eW`D6ylduWMQoFI3yMU+`S!|FqlVtHmVrxI6BC)@C{9ocZpU
zM`ppu_>gtE85!kh=hY6D%HWVqb)xwzCbWh(*WVl^qe9sPYnzN53NN)-Dikwe)ANf?
zA{7+85)xA`c10d-f0-qH+sA}M|Aig<8z+I~RdxKdwTjsGxg~J-S|%vvs+2zpk;LLt
z@4n6mDr00_%3z2Q69U(=vg$&maOPn4Hj{lSc-FwL_#KT20`)%1e@{qbTd`4WN}wus
z-5C{ar7~gtb%{gwZ^)qh7nNI|gVgYa`d>q1CKGzro-dvIE{kjOg|_dCRL6AvM;3m|
z=Y};!Wdu0Nqkbw?^G=cmKINUWj*DhO{Y_rgQ@0dQ>Efl4ALUfEzR+^)bsZDzGB>84
zU?|~vjRmKwWxghDt$B8liv|8?B47W0pp3g4Ex+9Pq=}wy`q!!ivS8La@2NnI3Ko4x
z8Dy+j_C@fJ>ehEGSU;Y2PUDm+zO0h)_m|biw5HXa%-u#1bh7^B_2s#rJ^j#0sO#Wk
zM%#ZzBF4aYF2Y~nq>dYJj%Cit>Ef}WUE;^vjUn5)zb#x_1F0ilp3X1mqU^f!eOGc!
zV9r=a5(KGuQ~H#)eytvEu)Og*ImQ(Fs83gxj8O5Im~9R^=;OoK%YRw>%;1&=WzW5O
z8g^DnxQt)aM_uVGt)~affwDe$$L<(S47hwYJF;6J^9qf=r=(awZj`H>jSd}KcK&KN
zt=Gqof4j>|E?B~qCWE~Cb~+xVuPd$FqK}8dKkM!#tiZBMxiNUTCs+&)8)i4^;mxs`
zt=E=wsY~i!C))}wtgn7NDDzquBgXsN3qRVxjh3F`+hbbD5DFaIb6p1;#EWAR2ieej
z;!qJEmp0Bx8tYwKt&Nr(R(_nm0OxeY75B_*VPkA-dvOgNM@w6!8xTO>Mv=;H(ZUID
zAFXY(G)%72y-g$8LW8%21AmYf3U+cGNtB@?dBeH=#5!Bh9N)S*ew2<myf$kO8mMD{
zzE4<Vv@P&@@ur=!r{jYKTc2GkRq?u&)lI20w(!Q2{B7j8CK~k@eO~iK3Av(#T~1}$
zLaOlaSJ~xWrXpkC+-xb2Asb?IcE;Pn=xi;aS5L*vV470QXK5^Gic1L!w1wQjFGc=!
z8YsE?;0Bj>5@>TowztT_7WQrCN}9i_j&7;ujd4^m?%$3{OfFk+%Kq=iLarKi+bi^W
zB#YtjD<$o9%YIpHo@Pf%R7Ep&g~REQLU>Zws`yU~z#aDz-n|D^&@tt{K?ff{dh}`r
zO6mfv8mfu*{Gf#PN7TukmOSVu*z{?C9UFF7Mp4gxQb3(I3vxkRT)1teg<qZ!8{iqg
zsXvE2g6Z6Yw)LF2&Sy>fTVESEp4?L!YA%b%)`VDiOLAc46IzLItu>VF`ti&&QyL|=
z`!h}?ED>Ql<Bf`Wt--AD;-*0XDg14npmFrvBH?X6d+q90D}Y-;2R~hqK)uYL*Fqf@
z35TCu`~KBfg6WPNw;Epx3jB@z-59+{?0ipOZzEy}7dWGPd92C!u<yf{8s#P8T6v;a
z?`{iV3h{a~Ethk-TUB8y{U4#f`@5EOw>d~QUo&QViDTg=fvE~R4y;l<Ut(cs4zEOI
z>KApyP$a^Dxl@u8*9cee?#efV#~SWttA<3d-&%zb<zIo5d>%5$X9mIv{(R-#!uZyU
z2=|xfLYMyR#ZAlq>q^*Ds{5o69&2}9BHMDK<H_10+wUfzaXuvUuALAXuJQWOc#;QC
z9ud>YUiQUc1?7;(BSDPLbU9o9o)?1y)YbgPjKM2=c-wG{AS&AFa0$Bc<HNMnQ6j_`
zbh_`Acz6n8t$r+d<9h*I;Ph1OnKgpg@~bw}eu7w0N}RnGFNAOHKK`vdW&{O%RoXUL
zf>`$2hd<X*1g8{NyB}Zf1$Pf*RZ+eQqD$aM_(K&#gZ{^#k5;f?hl;Xn?rtG0`Q`NF
zWR^H`>|A%@?MfD?=G)6yiVLH~OKoYX3nWzLR_7e}%!EDKy|v8)!f1G7V=YfR85v25
z89is15YcDqLVY5FC;d8AZvUkqb0=|;Y{LZ2^L9t>jfi5F*saDKCrMlrYh)lXYX}7#
zcKZ@Z;&>v$&snlk3YDo%tsANhq19o@HT0o4uD5HFEvCw#0Do}Hwn#&mJ0;FeNhM*^
z%fN+%yRxY4G*&poHUzIW7s~GC-nB2{Lpn#WJX)zb(+VUF!MpMzwZfBv0WK?oMVN~C
zc7N83;5i1!ai<7=_LaaW)7oBt8D+Gv8@X>g#DF$mxccCzBnIrB5W8|(1@FGO?QGS@
z0IP{p9-TE(_+218b6t@tW*wHAKRv*Jf{3&Wk^iJ|a9aM)?M5|hK0U6SI>`W;mqet{
zPFa+QD9hsdPaRv+{;6If8N%wpF^=LPIm}B|=zT6n#Rzbw2Ra%;S^M<akthW;_<r14
zaSILUO@<u1(+wd~f4)mwMF}mZqtsMOm;I7>oMYoxLtwdz95x(Q#?Osfz7}8TxM!wC
zuF;1HGc%(Bd;==zCH-6SF+&><-OJRM9cMzglbJDZk1BGBzEIN$*Fienee^~;3o^1>
zx?3KpAzQBMWAp`GWQ&Y<Z(VBy<1fzid}>q2klE|<p9nqluUg3wLo<dC=2J_D+cfaz
zDq8W;W_^qoshF*hHGzf=my=esQc-VUY(rs|0iM&SQmUewLUpY0yjvp;XJ_A6WXmzI
zZ{KdJmXjHL?CHOI=dvcM$8Qu!U(3MDd#8!aqvqgOn%cm5l8&6W^|s_~W1vIbX<mT`
z7SQV{`SQkUEzBV45l<Z%xS%y{A1rLOoWoa-D$i-5_r!bkeY^||eD1t=yQej5Znt<h
z7^jUfJzVjzCI+}tC??@?p$!aXh>Ct1(Z-~q?fw-)`Y8C#O@iw=8#Wb5+*nZ7LFs5S
zuGCCjWEiiFvpxV&YoKT`ucw3id5_(;eXfn(J`xF+X94_G%X>&7I!My2vW)1XqhtG(
z@W5@$eEu`T%h{}r4Wj=RqHAgBU*EEt^Oh}e(s&u7Y;BZC^L5&AKm);ywXpcj7UteM
zDF~d?!i}=SjhhYCkp4a4*AH<!C{n}~3d=qXJstW&eOws}r*!z^740CCdg6NWD@|;0
ziBwrtDvx1=lD4*l9kjpb=h^g#hF|A@>B<*LqY;bgKv}Sb6@x|23m2*Q(0cno@(cw7
zFN-}J=&%L3Ldu7^NDZ8Nv{-0bC606wKf@!<791mPEnKuv$F1;sX0${IPmd36*x+Cb
z%#ZXHBTK4il@(U-{T?q$ggLjxEZ@UTjRuLCHWhRgeVO^`>IzJ4x!A)h1Q?~P9JokV
z#z_!->wII0xX`ZtJ_7*KUOj6(HlTnHC?7YwhW#SW$GHt<J!C`OevJ{|YjS9pf8vjS
z=p1p($8>KT4;z{#_m$ktlR+=yGdbt@3~{SAxJT5{22ROpd#6-M;cefsrxi(4gt#51
z3?*5^^B2N7FGiL<+TS0dT|Y_a3Rr}xcUu8RM4)MuJp~JX$#YKEOb{-PTgg=vE1)c<
zo1W|-Vfx_IYqy>WBJkH65b(7G_gwqmp^@S^bYND#`_&|oc9wB0=Y|E$%ip5eB#NSb
zL_lZv+9^WkibGt&3JZ8Zp@?{d3gd0h!&|H3rU^Oak14ZT%)uncXy3yeLFCj{8EBfG
zA=U~^Y#F;_1}ayRbiOR{V^z`WRqf}05F;KU4gRub5T(qF=Df&<>(}n)bPJs)c=f)m
z+#F{L|1pC(T#xhOe$R!$)qy_=^Kq@e&0kEQz)q~%Fq;Se<~`e4dEz&*xcNcWDNhp!
zW}mjO>g7h=XEO(^h`+?d9S2tJV`IpYa^7jbiW~X#uh_4a|3|=7Vg<wA81Cn$_6C3A
z!j11g#MVFNKrSOuyMOnMz>=~rO6@8a4tDmRtdv`UwpQga%4{PzIXc^Glg))kZz~86
z9Ol9$-6QAEwX&e4-0=M8^5y-1f~`5HxlzJm%w@03GH13o{3v_Pg$c^Vdrgk;BE{6!
zy|JGOg<V&e>y~??hM}zdCuM&0)ormp6T*b{Gv_pErQEn+$VtAl?7J6xg4c_zV1lZm
zfohWp4>sQY?pEF;gr*Mn3%rXAK{g5fW+!;C?9GKAJ$FU$oN9?hwY4D#T12kmYv;wx
z#~PUhgJRfKT-amxi2-L~=4@gKK5R{BZ0n+s&~Ivo#rAXtjE;7A>J0E>>Lmj!b5}C@
zs;ZU+u^G_8bWYQf6U4ox!{1JpQ*h^mso&8F1Belh4DLHBgg5MtDVB;!V(QcC(4Jie
z(CC=_>p7nYI(bd3PCPG#+F!p)P5sb^dd`N_$-AP+e?8fa&X&Qg9Ul@LGW3Dw@E}xn
zjX2sRRqoiyBZpxdsvLG%>jSTKUTT0V31xFgHM8I3as4^3Gd4?lps@5HXK6PXWA5?t
zx-TeV-?hB^ldtq(P1RKu;gaR~Y~CDvO;*8~HJTxFt$J|6Y-ynS+j0-=oT^=KrHZUW
z8P};jdZ00QQtPL?6jqmMt&@*d!xlZGf*bRC(Dm!7(bG55NYT~vf4J;{yx9j`3by)i
z-G%<~zi3$$dFGM6T7!yr4vN}tzO_83cFts;u{;j1*?W8{lZMSY`qy*T7(fl*{hD4;
zMf_f&6eKT9#|tT5RWv~cC^bG}OmQh=`1qG%*)v+mozpwOpUi+b%OI<JDJoc;wU@pi
zse`vUZ=bJGHH5&-{d~#G-ZiPUpIDc#i(Gt_K9>E4unC?-<~6CI%(yX$CZUhJgj-s7
z-eiJwPgUTFVRbxOpx*o@#sGD|<m&dTEJ$na=nxmCVyE!gB$6KkdvAU?eExwESjC&=
zS(?(YZjp<nHNn7>8)n1S{V@h!rsa%`k0xfQrWAW@Gen!=EZdzMO~F9r^QGZKbaZ`K
zb}q5PaQU6~JQ8d-19GU}8oneg+}~bf@U6=b{ce6v&RA;!ON(6deuuTuXDh2TvB?nE
zwAN^>|7Zzzn>0w_>veGWYQ_1E1BN*IZd&T;A#30q_}SOGq=TV3mzvCfGw{x-gAb*J
z*&y?`t=&IP7h`Rm_j4?J@S*to&-9f5`0ihqOSdkzM5j*gZPdrAQf-lr9{{W_f$`r%
zx~RhESU;Dliy`(pyM34Y%X9gEkMB3?;tWf)Rhz7hi8(jUIW2qVMx~H~n3paVd$63_
zwrgVYTiq^=C_4xkDG4rX*1`L?qrX1SS@uTmmsZ8Qc5wFPrL2wLw6S;1@6FY%s#q4)
z>-_7z9q7IEJuy12g~5s3yUlo&P-PwGiltFI2=(O{%SJjDkvM&=pUR+2X`|(>mv%5u
z(<(Z>UlVs<;=Df2A%Pc#D&8KxY6tyGbsrCqY3Q^+!#>eZ4EIP0-FDn%2MT%CcB3U4
zxJhWA?4Rd+m~n`2hoYPv__883|4`MD+grm!VjCw)L_eMxzHbYPo9O8xRjSyqIrT!=
z`~s0)`|5+#R$Itd)yj-9Q$Yvqi)6*UlSIh;r7U6^pm*yXaltZ0OespRmn|M5PAAUA
zx+ehSe*UC!drA%mmHJLLnRO5~hWlmPr2)FsGpZPYGWf7*v^!C%lC2T?Qi|fi2Aw5`
zkTxDE9Jt9t<Fn~z`*tXsc^tKYOn<|}VlOE8C;a(#@3B{GiHl}M_baR+S+iQ$s+)v=
z{bT>;9Dc(-b7QvLc)$t@qr>jxkBOmM-RJ9+xPJD#SpAz;WGnDW`p#LGC5&>XRlUh4
z-mvd}ojoAxY6-_10#nnn1#t8-^Mmu^Yc|U+GN~@p0t)t@J^O8x7t_v<WE^sT!49i!
zE|7V<oV#umI!z~W<NJrY8Lw_WW|#L<Hj(J&peozDZe#cgJU^t;>Ynw0z0JLARmfp8
zxa1%GsHBJk@6&(l<g{F4f2fZleSc{Re@CKSx<r?VZ^2D3A6+gd290Vw0t`*T>d+~^
zO1D3R!KbMBVMio*g-vAhvQ2<bj`5H9`;$17evsw5qMMjp|3}d4w=vk?j@y&KwLoN-
zY94R-_>vf^%p*q!7(>Fqh`*lC9O1b1irLZ9PsB?L?0)jf2rBEw|6J$(L3CSbzX&M(
zKzuZ@iZXIC0<GpLTF3Vp;-V^D-H!N3<gl|M(g+s3JAUgjzw8Xro9}rg{?>nl&-^8W
z1`8H6KB@lo@X$1|&ugMYxpItHG;Y3Lbe9R9Ut~5)icb^LH{#d^x4sgE83DsoD<*8$
zBG+`knj%n1m7L!>Nr;Vd9kpsP1moo9vAu0m#3?7^fat|3Le8k|>C-iakj|}PuKQt%
zFng=NN%!&$A<7|s_t_f;?AaqM(4#y}MCSa7Cbs_|3?n&jF?TUQ{`Y`rL&7w1C^qc<
zYSVebv~#e#@0S65C}zNb*bH$rs`omT{*#C)UpqRkX#oB5`nRi_XNX~$bs;n6zX_B5
zM_qHh^`U)z-8KC)vxF<DEG$3#FA=w|e0VTd4_L7}7oWucAmaaY(6+o<BCtaIR%^d5
z*s7(yJybGBaJ_a79;xL(aSr$O+thR+Zl2tiKQvFUug1`(Wme#D^OARaxDG_GUs}cI
z{F4~F@pCA-kPDkN?YGlAwBhbw;oqX~e-UL75u23kcrfmavdTTGHhf)ueE2}gAA*^v
zycj6LhxzN?J9VGZ0y`CV%8|@PLXDNU-fx8fO6QDsHZ0Jg&rUJE_s&0}xt{m5J5>nh
z>mnO|hth#^b5_eoh!f9-x`(_!B!b~vCl={nHQ~+io7W?}Rv^t|<)t|;aWoqH@o6za
z6YMD5YaVrQ;W<J#{#`H$9n3V!xAAB~vA<Y^jW-Wk{5;|?IZ4L+_Elt`3pDU{7qa*#
z#fJwtqn?rTBydT7Yqje-8dU8&Fc<ZgA6s+JZ*to$g)tdM936Z#cyQ2EWUaUmc4&vc
zdKe&sS4;a7u0N+jt%|UB#3m6m%bodkJY5c1WeP?sZ&2ZX00030{|uLhBb9v=$L(>m
z_ugDw*S*(v$#YyPqX?D#770<JC_*6>ktkGV%S@@1lJxw{%&bCDM3j(KR^jb0IO}`9
z=X~sJ8@Snf`O!YQ!M%iUGDz#3rKkBVRftS=?^N3+h-`KSHs+j=N5hP>E#0N6P?zKN
zVGj~Q*Y;IhNtRMXW$5tXr`@VxS9eIp$WsKB9ryh@kg0@hM1~8uNveTlQ-AchtQeY)
zyU#B~Q9*B0J8DucsDZbJKi!;70vUXJ;{1J76=e$dJ++r7!rtq94-N@Rq3=T<S7aX(
zQEUHr1oICf5Upm7n|H{dI(>mz<LerT>q@D8+l)GF*f2MH7Rn(-r%@+z8VTW(A2bi?
zXhN#3vT;<V0>Tx~B+lF*qh=jm)?u6kRg#NI-P4L_L^!^btB`^`^7gk_<dMPkzlZ>j
zJ<7;(R!1+tkBYiK{Mo_xo&pO)Y$wcGRZta^Z@*X<4HfJbZPL}JLE-8y2NxSP^mkEs
z*Y!#rv}ye(SoE<DxTtNOlk6lSaFs8vKC6q;w}yzj{ig?yL(MEa9W>Be2jRW_@_L9x
z%DStOZU86PRK52%YohXii-Q*~=^=sPnMi`U5!~Sp%73q+g+xZVw_UB!Ltppqb;A7V
zz$2X;WE?<7#d|E5WmEOg!uB5x`FBl$9H^9I6RnLJ%Y_VtB=nFskIQ29s2Qx;jKs9<
zqoCf-g5`uAy6D29hpAj5z*J@#>yar6YV0;i_$#l2+P&W0znx+Z^p72t;}TSq|Mpk=
zWHA+~-xfVvbczAB$#nyjf>fmQ;F*j4Fc~pDWs4-6SOC&KQW050L6RAPCtmPqA||Dp
z!lOMF5O~Vrz9usTB^*?^<jJOnKGrlH%P_VCkv+9G&lbsOh!i0#yr78ERhT&if-T|Y
z2A}gpt`;JXKVLt*E{$?-+3>oATf(^?F_qR^NGLi}zIf?|2;z7*OZ0ZO1W8(ujJmZ3
zS|JET*Ys>b1=(L^n}sc*@;T@0lZS}tQ9ERoNHd|O&MKC#Pc2}pu}|CZQB}0lVmhZh
z>pR{iH=D=Cuz*a)?B?GfWdtpc8BXWBFt>*BwRg1)$Z6;P-FZS0t%Rsw@3)!9^2zV2
zHjNqZ_}RsxS%N%D&wYEdHSP~~-~%(pU2YETBGRFT`=rs;@!(C3OlF9t`n5Qzm_va(
zyV6>(I8s`7mCSW!0|IM7s96p`%=n>xt0WOb9~g)iHR1riQ+x9qBmf3>6lv091d;8b
z*V=Q3IDsCYFY`$UgON*Y#smJmsP>|O&2|D8cy<iGU&hR!e|zg3r#%-M`P097(uxb_
zWLAyDUABVras#hbIV*a1BVTZ<85hJi-(Q<QZ3;;_Y9_XvoA{Lt8n*-+7j%J=_GXa@
zG((-Mb>cF9PBEG`@_-YBYpq%{Khq)Lx2Q*6?;Ktf8o(W3%Lxu#;ZHf`=)j&hQ=3&h
zj!TWknyXK8fRFaJ=7K}UpqqIA;po_Vock`@i@H<}IQ2D((DT#?;2k;a@pJ*6jn;c|
ztvR4OgWR=2FoHUD2W92%cI?sz-m=}2958JB%H*-1AxzZX%<=2_gr${y-$h{K0I}`5
zVzI3TaC>J*Ap6KTrh3uQ=o=3QtY>b=#dQrJh}~$g(O??WyQ2Tr$bbXVYQrkDZ|ehP
zDVe!~Z5~Su5)VPK9Iz^P>(6BoeK2%;cyIK@A{JoD!8|g@0YC2HRfNlWz#DVCcFbZ4
zds2LCZ*4p$j6^)2J5SI9-<H$F>PIWseaj-TlmGfTThWm@m8=VIa&PiyaR0$FyeBAv
z^4xHoHGY*Qq6^wl<7<P?>zHol^)D}p1PFf{9_o5a2Od%n*6+TziG5qp+J#)VK#qRu
z=_529xYkREO#8zGQ4?)y`IS6ycy4a?>>C=`<eoUdro{s3_5Qqkzz3hJUi4OY)1Y_Q
zctO*T6+U#-eP&+ahxgh##(JzY*jfDgX2K&j5Hd@VaG4VTY2~A7^b#uMnt8~?Z{Yyn
zm(Ne_*bs!Y58^xc_fnyKOn!H8BqyXw#2!~C3d3BJc=;AiDlF%^pSi}$4Z|JJ{Er<G
zfoDrqw~WqGK%@7Z5xIx}(`hj}g`J|{m_EXFaYGx<Jfl0GKFkAjPF-amM{&@zdOd7(
zSsOYtDq1Rc@d2i=w$50R0H@-YS+BIT;T+l4JB1_wDvcG&U9Y5I?K#gT{+SG%mvg;>
zEd_zyvRNXcNCy05-3kl~$gqhW=o2|11mPbZxgLKm2XdC1X})n}xO_QQg{4XuBzVG#
z+fFKgRFdJ5@o+MHUha=C78eEj4GR&)0!7d!i53(mk>RA~>A1bAV&HPJUi|We5_~Tw
zrn9{!gSBMIF=Z7AV20`bK)MPzo@<~!6xN1g`@g7v?Ue*3>HYLG`KmB@lP#w*RU2Bp
z2IDwxNyC4>W-&;Z2y5b@T4#+ZpxVg&IV?dI+}pYaOw!dsmVwe7xT&z)s3`kHvOHu3
z+>CoCqX|39wtYIBN`*ydQ%C*x3SiRxDOkLi1fLE+Jn5iEgAHrSug|lJ;9GohD-VSX
zZ~U_AWtM61HJUzVEust-P0M~lCE6feX!Z5<M;%CR`PAQqsQ_z@Rmmhf6{`1VPK6Ka
z!i8Hq&Tj;%LV4M&Q)$7!cooTdbPj#^(b}mHm8%9*O4h<MWE$9B$%-o3WdH`|0d9mQ
zB5bhj&ymWYLA<X~wnl{^+}WmvCyuIvZTZE7fIb><>MGgq)-i^Y9vtVyr!~ML<b|T~
z4;r|z22Q<bpo2+d!)wN%CJ-A4_Agp#P`*J<-taPoCGD&0?*Hm^``KaAa)Jh!>C4m8
zn_I!fNB_hpTP-MZf8lg%j0(iKMf;yuF=$b*Dj9#R1yLWfU3N%Qp-_`BvHv1KSewwp
zsy|wAW&3Jx-BxYLPezZ5bj=|(y66YCp#^Uvj=a^MB7xxA`^ceYb6}e6frAZN04vzF
za7PU|(^qPp#b5xP`aag)P79tW<o9)7QUfuI6}8D+2KdlatfKQspmDwSrPTvv2rphz
zJN|(It3uszm#Q>jO;3yWQjY=zNLHUc_nQGNcLfE;3pC*9y8YwdiZbwkI(2(|kpW_5
zuTq@?)xoW`@niUs7)))(E+q9c;O+yXTStV55Pev0_f<0?h`RcAEA1Ww#?Oq=c<-qK
zHo`H8OYp#6k5g>(o(#xka2yy?SAj0IBl%w4Y_Lz%Won9x0k>S(uTB&z!4b;53+Awn
z&2eO%U@9?(lS&(ddq|1^;~ynP)E2SQ?>iE+&CTJ%I{QNG5qU89D;y@jJdTZK4fW^0
z2k3Ek9p08J1A((PuLh6xV0NEfNA~*xu%91cFPf8t7#Cf}=Ai^Ur|GJw?K}o-RQo!U
zBjRw=fEbjh+JT4V2riuy#bA=9D7;cw6yA=ob~%3T$9MN&sf?{=VCI<~Mw}D^1?5t^
zn9xu7UXopP&Ec&OH-EvCF(Uv^rDgneIY;o1?T@}a$~J`%p(`Sm7#|dxku&SnMsR03
zWh1KB1fIlQ-Qe3GK$LQjWMTDZe4*;#J_|t;2;2HaOhuRrMC!JE``$K)v+B<EukE3O
zvan|Ca0ELfTKL#J8tTVy?eHExn`aDpDUEhKWLDS`&{p1K+>0lblV9b}7(w@tm=cl5
z45hLvLz7$EasOupB?=59_;Q91S8LqBUS3Xl@!&))ev%p{`X<{D0_-KZ5-a{-?}q-0
zbsa3hd7an3yQ~?2qpWTAOTJa?Z_{x%&x?043eD?qzNZ0*kvtwIw=ZD>z0>|dG6);X
z=v4G?)Q8#~ulGfc{lZu(mdTYCZCDq5tM+-CK1`1iooj6tu@bTNXIaEvOwtdjcHGtj
zk3!BB@3ncXyYAP+)A<9KOf=RdC8h`InO-ZjsX0tbWP|jD=Q9>-snobLMHdVT^_|+q
z=CHDE-{W&HzhIFKk{sIzx=<cyn5jMc6Vs);wCxG`ijmds-Tt1a1K$^``i=?y#Qb7)
zPbX`C!@O8V56biEz_GuX--MHAFxT^*uXI-?F~cRo&E9J?s22|!C%MdEQup>mpL{os
zRSLWtotLG7$$wjS@&(Ue57KKM{%x7X&fx^b!}qChBlnB0Mdu9WYYfS=$L6v6GUKC~
zrc`kFE&C$m_)l!|mj9h@zC}z;#KY0?76o=nllknOXR#lNagXvEe_>~Q*P-&QHl$n|
z?%rWGhascl%SktuumyI%$PiX-s49tM%*@SUUo{k+d6QQ#e~atIr_IQqQ<i*vxPBhH
zL^G-!xwnSBZZu)-JgWs4l>FxVo-bhc-W<vi`u-P_Is3-$#2XTnJ>E23?O4PfdHv8M
zxNl<oot~Uwq9icB7e6$>`5W79b@y8fGc)`-Me3V6tO)}KYVo0dOISg|HOA5j7WhF^
z-1nzJ1JoLwO^s%kvA%4a<j2VdR>7r)@6|LQPCzzn^Y$v1P`TCUHO>w`I=|mlUr~pb
zYXp9YbAPb9rHiTGZgKwer^mMJOzL1=`%r&-<~lZI9dl8>oE!SDcInB76Jh@)(ZS~7
zP0YH)^vLqhEf7&vEp}~14H~|$TT^tHVc+Ly3D-k>(Aa$F$(A@ZxVcRUD@bR7<4sFe
z4M_s<VItn%T~rN<YUlscl41j6Y3yhkyATll_fXDN{PUyW)U~-rcDNdobb#lsFw7G-
z?Ou7Rg0;@=P~U7$aP~?Sbo3JiLz~gtv7)NL`7-?0_B?LTBbBsf?G=Yo_lSw?Ar<)A
zqP?2ZvjuilNlcPLBtg{8PK)wP1s;87YdCGn2L?N3S{XIc@U?J(yY;pTWL=UtX&Nj5
z9i>|DmQ3Zq`Qv4`lLabpODUf#<%=MQ@3vt}h)@98ryr%;>Q!K2N;fDrR2XE1YU97n
zDMEj`dEo|=Dv)~(<=si5&}Ni)-r>A5cm;OMEPJWKjSkiSwsMKXy{EHNUky}2oJaM!
z$FwTkbEMR8@k+wnQx?7{HX_vIE#0|Us0Iq5Q4e%Xq~XUto+HWs_)|2BBWL(J5k@8?
z4N|Yk!ffkDyOT4T@ZS62HGyVz__2|m#=S)W+!}f8j&Ev#5?ffoHB1v&_kG#<>VP8T
zT?o%xl%~KhmU%W#PA#wsYRCy~QG#&^F+GPID(tM$`_iDM4N{3`5}Oz*Ai8n0X7w%&
zQi})&C7h^`B@}m>r$rTHtXZfbIXduS&%s~bjWlR#czd4WOa!&=R*sXA|Nhi`Tc#6%
zx?rhrLp@?b9b$S|UmEJ`!M=+MX>?0{C~U2jjR?{N^8Svq9k292=YWpPV_QSen%y|T
zGfslIZx#lu?D~-P{Aa($X=9*?ooT=JZ=b?)T))LI>qEbw^7L4}37iRB^z#YQhW!g=
zm$w${0sF)3>#UMyKq&H1i14GpgnGB3@S-l<E7;2;pbPM7{Zqk1J}P+amZ_zD(E(w>
z8v(eDIS2(BrsXlH&=TU)#uHA13zc5KPFXSFzqGW(C|fG%QKq+=U8KNWS*9T_B@1Zi
z>LYUzsqj8Is88-b3G9<jHQ07qfLYYfZ-%85FzZ|Tz;}@d-pMV;_-rjf|I%{%nR0C?
zwH*FXWvvXD;<J;f*DRrs>Dr#<LuBxc954ZpgR}s)eNm;Bu%pUV<JSNQ_9qIe9`+W4
zuUE7yebOyqnO|FTT~rgU4*H+*59EWqHm1g@e|$P3sv%uMQU@0KYlYTz%uvgwKHL1)
z0$hf-`CL?2gN@qS4Z^D_Y~hPq;pa;h@VSRdpi8Mh^WPNyot|B|^x476IBpBbm=9d<
z;!y$zv%)f!qy?NrG9+-FWdM;!Klw000q!k^F!gq=<0N_i{EKtuU|M}4NyI<~9<Kb(
z>?E=xg^0}WgI?zF-LbvLJy8N46NYTo=p5+%1;@IYe|Nt{Z+T`&OcbVFxBDo$aG~Zv
z5#z;O0L{*8Dd)!oVb2$?fsDu8NPD29n)5maDaPK;{A0YJS05+<SU{)0A{R<PviG=5
z-{+cvcE0u6n^-Q`P#2Hi-$X#So9-sWKH3V~-fA%3=d(hba(2XUGXZHz{n|ipO#x~L
zOrHd8V6$didxA0vNLOr{u(50cTduQ`j>Rrv0h{iR8Z8M(e^I0K49Nr{6%SnQY5$4s
z){5UjALmAne~$f#_NRl4em<#LbQC)jFni$Wd2ZBf&q^_UXbclwgm#`!tyoKJ!G#41
zHwt5os^<D@1U$vg;}yl#c-f=Gjj?GiM1P);w%x%9lF2V;95g=Q)RakzPaPMU>l`u;
zdSD1kPRk$c+rHvMSJaGno^heO&74KN0)}97KjAEs$uzzZdY8w#nF~FCai9B5xB*;`
zO?lNCJCE<H*<dT#;6esk`!wvo>4Rdw*sRCxU$_&Qqea?{8%@aVz7y!K4_2P_HcS7w
z`>GpCQXAq%PlPCz^Y8Q^%w#;v#%c|JKG*EPcY%N^(CdmiCq0O@;4A%ipYZKXXWLd?
zwjhyZ6YtJ`U68aB5l{@>#HDjT3i0gYL3_WR{vzb13y!x^YEAzzA-I0eC*lk*auCkW
zOrO<(%9izVJyRCsN0_h7?Bzqprlwo`&gsC{gPpY9v8<?x+xF;jk^l-D&k!t=(E+m|
z%=_M3Hgvctv3m=<AmW?4Ad*r|10Mon;#cQDLo@X9<YhsWzWwW6s{=GR(s1bqq;Vn{
zx2<mMY{IB)XSRmg78)GrKkD;_mmB%y>G<c9M3C_cIWX=O6~fG#7KLvUP|1`@?agDN
z$nl~_etRetc1+P?<Lr2lT@{xvqgxCmhkxr$)T2UNRYjPmBp<RDdwzb#K>{V+2{I{P
zp}?KQEiaF;2%v{v;+~TWl1NPdtl;OH6!;rLmy;w2BB``8gP>>9h}e2Az}}7m>6fmH
z>#GVO()m`Dm?evv1RilOiBlk^R^_YNUSYKJm0uUzU3p~N+3Cc$stqf|RJELJ5%f~R
z-0Jo>1@z4I+ymub+EB^edhpt+C<;E2uqBya2}Pczx{L5ofTb>!hy{zIw<AX?JFJw^
z<(S@2LY5Q|N+9frW|BlRO9iE&S5;7lm|V!+d<vZ9SFHI^DurzI<a_3RsG<+S@xQGF
zsW9`Mzc}=m3<_o?_|Di9(RJUa-^2W=AoN*OX>6AqVpwiE5?`yM#XE9@!~ImqH~kQK
zUP%E>*0Jg`XqxEzpTEsI|K`#wSU()4p@_=b{;1^NC84Uw7pRU+2UMayS$WWvP&j4v
z2%V3NMw7Dd)HmsXJhO%!zmqajGVv?P^w&n@oqbA2igclEv!2i!tb$nd(yd<?Q;<!u
zDz?4opFSI3F;r4jQ4P!3<0oEJ^ylEjyPyC5+cwwWkf&v8sQi$Tj&vUt#U$ufcQYHp
zv<=Jc!?i?I4L2|i5)EBx(sh`0HiEU00{x@S>S$F)*66$&4Y57!wM?ov2B`u6gk9Ad
zC`|c~uJ3;|<VP(^u`@G)@X1;x{cD=&>5HjzGCDNm<IBYmN2VadeTisjO+r^Qay;(z
zP*J6aPp2bh2HB%m)*tnekW<8{ojgWGMej0yAAXDhQgRlm)Yn2sO*7tHS<ps<xeF0b
z&I3H<FISE6(n9KuQ3{+}$Y{ai@Gn<IbFlSNj(N9F3mrIm?!~qDnyA$Ncn))sIXK;Z
zlHnkth3b}$X8Zc6qc4*#O&date;mPb@n#kYDg9)ZzS^#e7RN0w|MX_Sn21=W<Mh8d
z4e$B7PemCul}9}Nn8AR^w)4$@c{Ne{k51S9u?i@InPpYKi~-U7bxwEKHPB@6>hZll
zrBO7i^wTFr49Kf`bM@#)B4W(kPJK=iM;yMI*!m>~Xe@UK>7=WnuJ~^>zFr~JAKdHc
z=gNRL(aT;-bX8=)-KoO!ofmDF-p_nhi~%W*-z6{gDWi7>jS6pQaiWha_rnyM%t5L*
zo|zh?g!V+uiSG_$Mpve=i?M;`;I^0|d4Nk1Z9m&GQW&y|&u+6EsNpt;;H|@X7JKDU
zdw^<OW7|A_+aW6F$X$S+B-FF~L<S{O7w(VU_=d~Y-uh5X2QayM#bcT(g^o5qEBem)
z34h?+@QHE<gE3plz}@e}(e+NQCGNIPeAbcEXS&l2-e_$fzI{s+DHIAECJ4X63!Tgq
z?U>AfKI|Yjaa|aNGSQ!y^=IKP?r{kw>urT#Lyt=nF9lKPIhJ<mjs#5aV5|4hqoz<F
z8>w-GTL4}2S~^oBa2ZSbq5kmDeG`~&c3J(&#*3~TtlYVCTOuCPrx0BBlMa2qyd%f0
z2<Wf7M$g8!a(sk04A~pfVYWWauKFV<iq~1G|6+{rklRNK8Rv~*pGGxt{24p4>@+=|
zz-YzaP9;3_8!&=18K?id^qv(7?c<V^#(VH1K9Qj}s79cr_C35(j|CZ&zKN`EAHY-e
ziaSa#8^T$WcFmZ#Oeo)P`OOK^F#ddUf)qMy0H#Xr`|V6OaYjDB{o?2-?#ee>*|ygJ
zw4=k?_L!~X8GD~eSnQa<gHq#Sl8`<`?;l)#nDqzWO|O5afKTF&^A0MeQS>1`7j>3e
zui^Qh)n*@C&){w>eoHlX^gvxiJz%fpDn8vUp{pJ`_b=0E^<_yt__>4GFgAV#FLOE;
zCv3lf*N(bnt7hoJuu8@5H*72T7Vg0_bB4e0yp4=LeGy$K<QUq19xda}z~uIfwuIjh
z(^(R~t^-zmyio%c%XqMeQqu^wg15&p-^XQjAT(j>&-KA&oY_gp)8BUu51o(Ntx`+_
zvFA3iyYyG^;*TupWhH;{(tuym<_0u4Zgs{~8(+aAKXC33;oHP_3F-NZHd8^2Tcuez
zd=<AMgnQ1kGa*XAWrYGyD)hOt<b~~D!%KUg=v1n+pfm-}+=UqmY_LpO9t`_~!zDYO
z3%RUlwP!WkT%7_VpFP~qzWj^x9G>ru(`HArq!?H40BzWH^3#<+lnwm*(ioX*m;)6C
zX`H<Blnm|39TzhCH}UW)?h~a?xX|f1Qi&)h8ThyY>{>rCq2%rNvWy=PP|<Ih-hJL$
z;P_;M<}=2OYRq4i)c5e9>2m3UjwTYQMi=y05Ll7n;Su#rB0u`{(`-Rdp9H7vzH~b8
zW<zTquQ1CG2%yDu*ZNNnG(jdjA-VfGJ1Ts6D!$H02z59GZx`0lg!M>~11c7rh`lG4
z&)|hH8Wdwx)Yoaixgd9Ow%=T6ulpBY0asC^wPnG?&`Sf(SS&bscM(u_{-Dp2tT<9n
z{wuY_rvc>QFr$D09yD>6mYu>aiCz`kHuQ9;gEX&lafARrisUq`J|-uPEH&pzzw^~$
zT(IW)me&G^d})fpwO<xlB<x+9xTp?qmfpSy;TJ-EZVIZ=9rEaAh=}2>1a-JkdCHY>
zMi^Pz8-?Kdim3m0xqNzoIyeQN@!Q5DiZ;{I1-NpRP`-zJ{;N@Su-g;Rp;9e|9Me7K
z^JG*|Qt9NeyOtV|`BLz?Q?dkVSy^~GTA_-p1}`7-?b3kf%ex=`jFCe0(P?n<BBJ+i
z<mM`pG(qdWv(vSkGU!0sNY!p74V2o$(OMlvg3a<D+1h<_NZ>%PLid6u^8W2!!dI#V
zLT!boMzR#p9<LHj{thkl?u1)|uaq{35X%*K1{INyX-S4*i8czEQL}M;M*;Evs&1sA
zjDA18`8&moij4gflZJj$;YoGYFg;!c9Y|6TXO*L&#=%X?oPYYSpBd7-JE4kVL*zDX
zrfA6PotaVTDP0H}O9`H`B_g*KW0AOA9rX3BPekosJ-GESdGpx=b@VHub+A)Y7xka`
zOubra0Ba&HF^+7SsElphdo)28-8g-ymJwwH;xUSa{o6^1bG#~~;DIixJ?+oT8$gGq
zE>F#afm-O<nwGatsxA^7d`TBMYzlX$Q+?0-kr8j^zW3uAx@c_wlkT)YGr01n<HP_}
z8|~^+DmZmY2gL={c0Q*9n0{3_{<20JF_S&FjYZH9`BSIdeHn9@?;)8=a!`<T@Iuw3
z0Tm5r*0S@>n}dwqsVaRo3TkOQ$If(|jFNbMJ=ZB@fWYb&HS=fMDE!%rGh|s!bn*1>
zEC~Y(V0k&Ytx8fGxrFamx|ybi3R~T5S#vEQGJu2qxIP)l`MNOT7M0MUjc59eA1pxS
z<gruM{8~uu?oVdtHaXOaCj1`HSisEv%Q;scX(FwImA{L4B+&1kvNY2n3kVRp=V`B^
zfqqp;@zOsEqL}CzX5Uf^*nL#)m-9&?x@71tX;#dIs2n>hxc~ddaqR8M$xl>K_2~N4
zdGZEcwZmhXzRrLn0T;B1UzL&FyqK<!+%)dI))4plG6Nnt8=RtxDxt1Z>7U;^-N%h4
z6^0**FyM!0TEqc61>~K+1N-JMhFv+QlV_W04g-nrN=Rf`Bqbf>c)e*JTRmVKG%acl
z*4BSALM9}Ufs*?%=ALCNbMn(LZzh1zCX85iiJ>Itp)6&EzgVOvTij6z0Kt~KZMSBH
z(f<Gd0RR6C*M~pVeH6fP*WP>Y8ScF<_g*{s9WK#O2;mWukw_txtjwZ;ilRj*sYFFa
z`F#nM3T0JfWn@N1wx@sLoY(8T&xdE~4ncr<6FXGbbHv32gI|Z9i&LzGP>rY$Y1ESm
z+*@))e(g1d-4Fi|oS*U`zY3LX?^Y%VG7x>eC2$+8X*se!0xp#6yiUoTV1izQCtr=y
zO<;W_gg3&J4KX=sKDTaSg7DO(z=fKv@X?9Ei{%l}eC(63kr*aOk?!?dpErh5!8f6o
zTi0;4?UmQ|%Q8W17`3a1W(*3cKVn^Y|Kd{%m7;0Ro0xFxhqq#<ji5s8UX$baEN)I4
zDm)Onfnm}~v7~xKu;qDDomMuEmqiSGOSrL)DOxAw7K$6fRo}r{ms^AQ0S9sI`nEOf
zgy6;=<zohr`~3JBmd;MR5zBEN)>^}O4PTu#`lJtwLA$%EMe6Yj;jRx4JXysmeoS!R
z)X|4`^i`hIQkj_k)2{ALr&UZTV`gdNh8`5U;kw$}-eObE-aGGUtzyY3^Ow}w^#G6s
z;eK~JRy!ssB&EBGZFQ8>=s%?k$M4?dyUF;0HS+Y{oCsLOhL<NvYg2UC9`DFL96gB5
zp8UpssB;w)d|AckbeImFz42Od5+hg|?s-1*#2OZDRh!T}LIb$6_<Zrq7^cgs_cPOK
z9eWY}U~-o~4ZdXCpUJG8#7M<u`RTSB7}w9sot3|-aG_Ryb-MpIR+i&jF_pH71zI$`
z<2*x!+@{mc3(>O}ooU#Xn#crxq;wL6lM3*GXtaxe4!c2DeVyn*fX?i<2UW9mAja%P
zl3M;e7GWl{r`nkr;+=2sPH5}EhJj1lxaA@?<Pz)V62bx}B{UcLuWEyZ?S@6m(qHWM
zl*>H1m=!cWMqcJ_rU3f~XSvbZWla8&)dd@Vc4+LWu$mU6!19Yj_J;RYv6n2Y1f>iP
zsPVs!|Nc)4j%3J^KNPKF1E&v8yIXR>(>VIh{ZGjd<HXui*}jP-49#eXDDwdO)A+w}
zJY=Xz%a6V*N&v?9(!jeEKKPI~NgF>-f~z0ujt@97!~1==k5vZ=z?4{_uyQ{UObX7|
z%spp;H)kx~8_fxV`<&siK^G$M9AV%8p27y@^}YVWHo|c4XIl?XpC-tLmzYE}vBUhk
z+*;$eBG6qhnp1pS6S^aA?cbHc2?z3hN>#nZK;qL#wXmQjTzrzARS?V#2BCKC`?pBI
zj)xzlYHKur!Rt9ApTG;|w7X&6f>O{K^Kj-;v<6)B)^!PP;0J3&+V)vh2D<yb%<}Ct
zpgrI}>8e|T;I=r<!|W>ump{DQd&O7-8o$T&ar_YiD+eE{c&7q<-Q`i?WTFAG%qprG
z-Xbu4G;Zv`RweM2VoE&fssR@*=r!9HMIrgUJ8wk3GVpknVm&uBU@onqyT4EzmLqi<
z{kN#XK8sJ0Th}zebVK*zbd)5B8|6tRBQ+4VCFfTsYr>Pwu+iL;(vY96P_jQ*9f)e#
z{Yq9uuvON-_~@!Ee6_cCr0Q#eE2&Sg(wGEmSvLDQJLJLSXUjci9ukb^#T=sskYTM}
zWAETCMVKlH$XFO7!?v2C%ZK~4p!C7-`0ss6@UntpBm02@P7UWS2;b3$Q4No+SE(w{
ze=zZ~ki8BFkcukqbn1W`*F3`_RTYYUULNGpr2@XAvAUg;25-qR;k*lKp#CHD^kWtp
zq_<3Zt@zU6)bqfWj|bGjswARs@FfjCzRdG&ozaDc!w)VBywQNjLmrRvw$mYYmW4{l
z*M}g-|MsxT5n+$`<pG}pI*2l)W$#270ylq@bG8==;_6tjzV~!MHZx}{j~PR!&ALck
zG8x1<vt(9_=<vp7#C>a+2{^iDq;#Ltf}53Fk1v_gq2)kdo<OuI)I|1H+1XQ|dPRC6
z`2r1`$2!*sO#u9(vjtrHDDZGHHo5*h71Ws;UOAA=z^_6+xnYYoP$W*y-NST%X~}Nv
zHo+YJEUtcfr>qTWKdavLhiQS$tup%TOLO?G;&Jp=D+NBcT8;3E5P|i?o>)_B288fS
zMSs(wz~fV~M}LNI0pX+msUM3OP*&>Gb=FD?+CQ0m4royZCcU7pxN!!!`m1d%k|Bfq
zvv)NdLGrM>)#7~D8UsEwWi|dPCj!m!ob}Z^63}+mAp6J|17@YcIa*Z{SX+0!U-b|I
z)ps&`50^1O(8$p+>bN?5aTxVw<a2<+`s<tyUj~eOtlnO@uLeVWiJm0!HSBbkp3Eo<
z1K#&eds()rK*i2+--F|$m>Jqa4!>d!p#+xwnVU**xJOjIDd{=xX6$hPg@ieXy$}_<
ztg8rj*jRoJyN%+{4&O5GyKV*oYKMCr|Hy)uZ6_nYY7P(Hpx&_+H-jsF-%q3zNWomr
zg{6sS%edVZLzdVK08+M2kYkECWJTDF{+U|GJzuNYs7n9@2ivAyD-eOcnWAVm4<;m+
z)dN+A7>r!AzSy!X2p1Up?fDD{X#4lxgrr@jKy=7sw-Vq3&qNt>?i>QDoK=5f;kOOa
z!&$f;ZgE2A4$BV~<pi|0o$Dm;MH4t#=s5m3lNDsV|C2qFPC(t=b<_uyTfwnYE${LY
z6YzMRayGOipe286@si)h5TD8GLOi*O8Hc)tIt?%(pV4c(9%&gvf?&f1rzZ=T->!WD
zVIfS&B}_h5EYt{&x@4C&Ce2`r9R{ajn3<4=%B*$}ZU_<DanEOlMln5`dE;%gO+0X+
zaMDEB5KhO9R^5y1!&X9f4DC6+fy;QGnG+2#fRhQFli{47u{LJqf~mfBJU&QxE#tjD
zL|$2Jf0tN-`9vKENj$cW9}wW92WshqC-y^RI`1{!dW2>6HEA995@kNKH&YK%Jgy2q
zc>fun9G2#tmRQFN6~-NzS@qy>?3FhK+THl~ViFdqzmCT}D{HhpsSCmOdfHk)2k`jk
zI%G=nI$l#%NEZ0#>C)(Oe9QM?{F&9=S%0Aod@=Nvt<*nHL!MW*Go_E=H^WNL2DEPA
z&UXCScB3@7nBp6nBtC`zo&Egx*xOA!Dm>~`&Jh}jJottAZkxgNetI67j9@}NduNvC
zW~rbm#bM4lGK(M14HwR*5|G02%6nK86)b)=1vg%p!)vDaM0?nnQMk9HS0pbL?oyHj
zzUVIC>{%`E8kd<-%*)3Og?Dv8#liU|+vp;GyErbpjh_{%gk5!dudf3i<inkoA1vXy
z({J~cZD&KL6;IiI$<v0SHhfGxY6ZVhBJ1Xt$Bwo?Xw=mkq(IdbAJNAFYxtV3(<W7&
z6P?=QlRu+Dfs3(iHf#U(Wa9Ru`AIt$dT27<xBIjf=q;AzX*e<=8>z$mjm11Dafx53
zu$2sX{=G7ZaRgLsBEnWx!G~@-Ds_g_$Z&4s)~Lf<W;E(^y;pWo0R7NpIkW!`2{O0G
z?hD?+ih{S9b^7ZGp|81f(@UZx@Yr5I+j@@;ed76Y^!z1ZRJ#3Dp6PWW9OU3?yMS?^
zQ?kW!_t`|zMq=eo!!1O3W?b*lyUB?HerxH;<cJ{yyQdGxZ!{t6d|EJZlpCo&I4r!+
zLjrw`R|&m$OcTCG36K_-cu}+Jy*D+MQpiij)ai(pCM5IU8X7eeKogD`$Lbtq(3!Mj
z(+@W^!1isrrbmY$8fKN}y_GJ9-n?8c939qx<6~yyN}9qb<ZgS8*{T9M^DSLMVnhRs
zEL0nAXNjOj5vN4yol5A6HYQWRtO;+-ob2*6#L$Zp<*0&UWpwNe^UpX;6GZRd{?peb
zjw-J4_)<x#DA%9en3AgrPTy*Z8VV&*)b8yu?6?}5bT$9`f=mR5PUZIjx1^Et8Tmb_
zht<&wNv?|}qeQSO8n*F!E{oc)k*-UsX`=F;moN0blHil>XQu2ac?2O$@#klVD6E0Y
z>^Z9z2&RxaR`V5+NMOrdfd(>S+37!98A^dMyTT5|pGqj@gs<qgYzpG|q3qWtrUOzg
zv1SLfRZs_c-^l^G4w`<<*DNYU1!ecw-s4HC=!2)^ScU)<Dfb=q{%lDDrbEV~v%_kL
zyvnXV|CNfub@V04x9JdP>R%LKrH&4UaEuwBqoFUX3h8g;^&nq4y@I1a1NrHns;d>G
zqeq7ntZ47_fky0gCjZq$3RBKMLIUV$-CFI-wQGiuezZtMNRNbU>+8&8F455`FM(&|
zNMlg;tT5PgAfu00J9u{l(b2DcG?T3-Okm@+LuK`DEo51I2tUq2M*)6G>eOSVP<69p
zi>xpO*?h8D9(1H3?~9>|`4oTy1{{*FZc<QkjB{YQD-}JlYo<5;yYqb?T6y0LP|%?f
z*QW(CI>@HA$s}jg3}l+mTjlmrknfoIrFly&G!jsDrXtH6g0!lr4^sclQSfG3@wz5*
z&pS9~sLp^oN6X^}7PQdyp(eZWm@Q~3CDZuqMFs@dwDVsQ(L$2JO~=`0lu<&nkFftc
z20Sni<XD&?p}?Hz1MPkCDC<SY*w!8f)RzR2Dl>^lu7N1A-B=P`h-b3f_kjUxvdpWw
z0-ES^Y?fu7oG>~R6zQ0f&4A{2P60dp)X~m&mGn`2F7&1B;O%RB8L%xy!*%~dH6*xk
z$veGj6W8w~N4w9M1JBT#KcD(l&|L}fN3F@f@#Nj9(<yQ0Q2dz7JVQbm^-SrNbGSF)
z9}U<<rFqQ3=|8)@TbvXTr8G~#MXnDsG>Tj@yle*Ij-95>+vU)JZpMA4s^3@+Q|$^}
zzzkIT^Rw-^q!D{0G5gNQ0(QjW!p^uffSFe(Pe!kbqo$pSp27wz*tP2BxPB3U>gAo7
zy|O5B=iND3BDao77nVp4>0;n9U!oa%RtW9LYZq4hxq%tR_op=OFolQdA`dFG_>um^
z3g`2;o0yk|YJku`H)%C-WdHYEsBQW0%OC<1bP2f){Q2i5U#n<?e=8e8`7ew--)v$O
zwZF#J)muU8Vfv`oHfBWkl8PVI-o*NpW!}7=H3maT{enj#8+fWfq5P2F29`B%UN@|5
z3~#AcLt+P(@NZ&j-jNCGSlQzKz1CqyVCyh<s@-Z1-zL?!9GSI-tt_QnKU!-DhZTN~
zY@VOOWmXP$Z7pBL#1|EXheQma^O1OW-ML}>z?W;geMeR>g;?cwMxX(#XnG4T_4ME-
zBkR&HX)BnQ=bw4)CVdc7XVD>>x8fSVV)kCkUB;XQeJh;)xtYKFZtsG|3*1s-k3gou
zGS>e3G*fVf9yE8{x}HDt9Q$~FhttyEB}}RRg{K*_9uRwmOT5=VV0T4Y)|Q8sFmqg4
z;A*HY@S3Pg_^Eed-fR&^NleRF|MrlthGTTF_l(W^eCr2Rq`2Gt>CR=W<Wz<h?;$!|
zemjIqnGIs$xO4fjhGi_IF5PLep9X7pzUmJ}3}Yd_3K`bHD_GEUUdwAQ8YITfjhw&q
z3k$3rF(mC>#nLK%eD?oEg-nrV@2l|>m^<^HoyMMPn8zmv_TFGBSPNQP#~+!-JYEX*
z_7|*U>&tX6-c21SQhxGi<^BxzP@QY{u+k<L&MHKlNY#PfFmqO4**}<N^$#DD046BB
zlqeIXssr0kJP3Z2J%_1|zqC<4M1bp$|Ay}i*9N=yB%@bb7O?Mo2JRc5VFoR^^oKH~
z6!1FRVdK-Vh?O1ma`Ae`0#a!cBF-~f5cl4#z%ybAGqZT%Sj)!-;=g%)NCsMP4lJMf
z*sNfcj_K!`FSCP4_(0*?L^A9kq!El@4Kp-0v)gCL3H`d7=y(qaj3PXjs+>2lMpl;7
zL44f6p(^4Mvy}wx3B_$IHcVhIz-yZ+#0&eSf@8e%h~P$-Zn<`j0L(F=U0K%rQ16-1
z{X~=qZ*-4-oa|->?{r+%_CG<WNo}s=PSXU{ZQkDFHmqRh6k#q>A_NZu@I^auO=u*&
zDZbm!2AS&f&(>5$AXWD7)cHaUuuIN8wEH>-EH4EuWV{lE(V+w9Cag5TEm<MTBa90O
z`D>r!!^PpiG<W2}f;vpd4RxQ4=7A2$#F{hik^o)GgMly9fyw=Zm0LL<@P~mRB}f_!
z73MdNCaS}vp!w+-K|!$SUAtiPNETi#=`v0Ss6$%w07dtp5U8w|Q<)?cz}-HS80oJL
z#VSdqjxEBVi+!&%>sADwYl$bv;?!ZUpLE5rn<#v^OfC|$P=->c*1=cR>d;;?B=(6%
z9Q^vY4e>@5xX?!%yCA6nMR(aF>VHT8_d*#q<fR7lx0&KE-qC<;nT<BRb}86yR%ziV
zp$_}hVJc&vCZxuG>l2-k0rxxg2b%^o!1*1Ar?~0AZheg&KB3Bk4U;y1Mhy|V{%HCy
zd6S?~AomY_w<6Re3_P<gBttwc+99}w4Eq0_I*z3)!A;4`JooDq5Kok1D@~xlb@r9B
z`$v>vzS(VJ8g!sMexR_-QU`un1b>~fR)x_DrO(M)RM0xh$(enE3VWy6%U#OUz(+a+
zD!6DMbL6dFM=K39ObL&kY*7cbVMAp5kp{=lYeiPO>cUqweE52%2Fw_&IuQcsFkJZ~
zEJIKqZu*6^JFaVjmeIr6y6<#|k?UCHpEiKR<OR0|I}*5B3mK&e>Ov{$OxLRkBPcyJ
z@a6WuKILsrpm{LsLgv{!L0>nvg8iM}wqLWf;P=Ou$7~AeQ2C>c!$Hav<SqJwcbuYt
zrId(y_c{&!)3wg0i2($-7~S=e(1r}c^FvJk`g&KH-Ie$MTsUx{=$w48HXLUVc6Ptg
z0i5H}8QD2A@Q&Z*RTHHRCi}ULCIwIcTY2#ELAg1+c1!+x*GL;m!bfkKE)${jaFoi8
zeGE`-nyS6`5A@9DLz1#q>M%&{Fpp_qK-DuVSF1WLsB!aU(}?`ng+G^`mT_CaV?tc0
ze-;_mG`+QNM=HRR!MdL=suqytG|TdUPJ)k*Ttz+}kOWa}GS{q_1>|5=>KAWmg4>$g
zreCWNJkqh&svlwiro_JYe!n`rXxp;0bA|(Ys;Z0>t}{R;_2;v@yjy_qlz8-S{wkL6
zjrmR{odN$Po$HSztHOQjXXf=L!&u5aj>#Zo4uxSAVLZE(!Mf}t>^Rnh&pF$P=rYWK
zW<v5$3RZ;Ca#B=X<s@D^c*`OdnZeo>uA5zZ<iPs(s$O;9B3?Sp^=)>m8C<({qHbYG
z3hJ%=SS6|Jc$JK8x^@Ksk@H*fohRZjF?;8#UndhfNsGpW4FK3WWu)YaMZn<{y>p8r
zGiplT+j}V#1G0&hhUu6fP-z_<873^qa%OCOI@T04mQ5!Ta9*gjk@R`>lm!V_U2o~h
z+6FAl3x~3lIHC2x`l+0cENIVd&prOtCJ_0TB|K%G1qPVj?+<#+f*OQ;uiKAog^rS+
zbq8roVCi@EMb9A?G-y#EvqgF<5WNp`jXqe$JgzjHD`sIq{uPT4T%3%7K0@E~=-wPw
zbjjqEX%;i;b4l9imTd%*__eg9^OM+A-en?}HZxMXT*Z|;YzQGcs6pDxgIGro&#>kv
z0=gW%Dqmn=2yJ49A4kX9F%XqL+!9Ve_1&W4bEyXK>jaH~2Fo!@`j1O@j0osamF0lS
zv_90UwDyFZ#_=L2o@h=%0-8wXe$;EH4<>_F4?c*r<D3NEw5yv;Xwm=Zd{>nooSiS4
z?3C-nBh<r>Npcg=!b#hMtr~iu_hpE4Dsu==UD}+P*C8Mi1^bYzH+A96ye@02;TWzE
z<4e#FBOnd$!hMUvx=@iKc(O2g3b*@SO{nT3pd)TKx;ih@VYaR=Gq8CEH*J!x-|fPT
zoF{Y&r3L8Fak9-ouI>;1Yrx#7W`!AXy;dnJzDfhb{uB@8!g+k!_)7KsD;9M4#oOK_
zSsG9!rbp$^FXFTMY_+R7tmq(X>W|wGso>JyAx-yR!gq&y-V!KeLtI+ly%&tBfFf%D
z6R}^xH-4mb+;3w?JTI=C&1}_y(<(FD<aey$Ls$34g{yHQ6Kyuil_NTE=AmqLu)_wv
zf!!ZVy32*o<|isMmku<2?kL<eVM6W{n>$h#Jm_13tDC5^HgwcYA8qj<AT1*?*(NbQ
zv}|CqUiyFnN%1KwsTs^@sWJ9TjD!FZOe54d5GZi`xlJE=fCb%BNz^gCFNm5%KYvK~
z(Sn<uWS?7>Z0IYO-Cq74A#`a`s7$eg41vJ~$A%l&5w?SNL`_=+UE(w7?YAX^|CF?(
zst+eBw03_Sohyo35~!_x-$>wceA}ywTe#7Qec47dJ#plE^Z8NFU=rj$%uqVY$BRlV
zy9InECD3U-KCz#YB-jz>M<dDcBT=2QdE@s|==Qzj2b3>F@H8xU$sr3OY9X)Vn@=+6
zPgjDg>s=zaD6C(}@)AP5E`RF!R^^b0*R=T8I3nEONC{v(6Go3Xx*?sYh=^9-)}v#H
zpnl$A)=^Fr71}I5wmYhXtS8U<W!xY_uIh*H!3AQd#9G|PyHOdrwY_!z_L&Ip8>OD|
z@0LKs%hv6&da6iBu3|n>n*?;!<a0<^3SC=Dt$$sqhMwdEece}1g4>^D<E@va(c}gr
z)X`2IQO_FP2o4~F!YX&YFhLHny?pX8Y*_;_ayaUbJ7~dx=;}QmO$B5&FDAV5goxf&
z;w&ov?!K4e%Zlg<MU=ike5Bz|Mn!?|G`+rQgS~rsW5u`<a(X**JxGOutY#BO-H{F)
zyfa{YT2lojZP}f>rA-?JG5fw{t)v2Xt=YY`U{!Rr&8N(`TnCv9=J<PmrGYYYknTmK
zh7RtOPA@o4MFzFPXG|1y!SweFIcGt2RB`WJS+gJwQ5#nO>%XW6YhkRRf&XbBZn{F`
z;w2htib&3Fk~e@|rEL|@vNh34?3#;69}SgNcOipTL#RsTaprF%qSRtu@6c5m3K4lC
z*OO%odsrr-vf4?gHFD7_xtoT*)w2113^svxW=tgZ*JN};#N%vxI1P0>4{Uk5%M|n(
zwI0eRwUB;y^2ho%D)R4=;>+g+811IKJoQ%#eP>U=PmJpzj+JdQPlo}VeJaBL8c`5c
z?KDL?NgM56hnR?mW)P9RUHOh71xbguzd!hij3{R`TlUzQgZabdti>5E6nr7`{o6O1
z=xB0vS5KEYJbmW$%<qsEdL|Km;ZM>Q1fs_)kP!nCznvW1c9o2H6YlE!>#HC}p}TcW
z7y}w!9g7P}A|c<dMs2SF1+>l|SXuqAPya^bG|O2MQL?w*VqC5iipg1t3Xf&LsSA&b
zR=#SWDv^T?E?-5^jy}0MX=esh%Sno!->r`F7Y)i^TJs?*mB($@#Tc*<ME(#^q=q&W
z-#F}~u%d0vST-Fu2XS4MsrEG$bU0l@{O$K8Jf!FsgTvJvE^*)IXSY#Cd_Atm-mZ?~
zj)SgOi^t7C!`FX}Jx>u;oDJC8Sy_oIid<_J4>JR|Ny(#2-12B1uCH>be8-;p-&6`*
z1IRNuao%K38f8cFr4<K^VNs?jtn%>yB>UnWSJ)*H>56r;yWT8T?so3fA8vqGot^Ur
zJH=4tFHt}Hz4I9D@bywNA_hrDo+FG}VMMKM4lLfjh~<g+JpN%}3P&zo`m`P>h%V3q
zv$OX9#l|dM%C7rv16HDIdQdhm^6#HC$teGe1!Sp=e@-=lJA4N$x7Bi@x{Z(9eAE77
zsV!gHZlJ9YWvA~hw37{)))%XWasS0Oco|=7myBUoYe=W(KhN&!otz0_EMg9sr@IJ-
z#$fWusivf30~Zdj=T~r8z-|UTF<y@{0>m59b!cK4SBYPU61SblS|&cW+BX@3a)MXX
zpY#R1M8HPy_Vzg}J7-_@Jy}Dzq;%|HZ1pVuCI6$EGvg0t;Fu9}<%9tQXe_fSmrdek
z93@GMduFi;<L}ZfpY=gnDD`PT{RnQ$*xB{w*bFuk7E#Zqs}JsR7ZoBe4&bfR1*Ll(
zeq%=xqI-C5>cKwh%5LSUZ@6PYnS&bhG*<Rsk>_Q0JrI;$IbqiQ89&7PIN|B!Bt{du
zu6FRGE(9z`e>)l8fXl}IRhko<#46GTRvpLb&>V5@#_7sZ{GDyi`IhJj%s0yHJHv|(
z7Zra^?_axuJ%#_&z11hM(;9Ko?7cLYJUtn@b-V&wkmY&eB`|?$8&X>%4$z?E65Df;
z8x7dA8FPZ2{sbnt-(u^z{(rq0+;{Nc-%l8OqR-Iln-dtN+{}s3j|v*XJV7PBU$E<*
zRj-a<li0Bi&gg|19ng_bpVvCyiG@`c)CDR{Vbqp4I-1e{{#LP9QYl>Du|-ARU@P-!
z?8S-bfvfyF5R>HbAur?yW@FLtm5}!vi>|eQWoe-e+&Urec>MdZ+dMaAZrz)~_<d6^
zrUX+!6%F&%NDpHEuKOZ0GG;N)DsAPj`C9NPQ)%E+`%i2$M_pj#(I4!1_byA(UNW51
z`5xhTdl*xC^=sT`bPkJVdC{jKM+T9qft77%MzQw0X<_y|7cg8g%A3`T1ec`!XZ8n=
zVJ?~z%?@3QnA*cOm+Z$xkUx?&5ORJ3t1>gmJD<LU{SN>D|Njh^cRbZ^6vyqoN5~%6
z9`|0Z%{^Ax6=f!6HW11xloBBsr81I+_z@zCjPD~Qqq1d7DA`*GKmR^|oY(7lozFS%
z^QOnSGEV%HgMa?LW0yY7k&lb3B;5?(BIlX#xQyAz!S><|M&er}KaHIrxMck!_kQMD
zOfQxN5h13m9*-q5g_`EhyR}{NpWiqa5e`|{iTAdi`?gFT{G;eT*+>D$%TRAzhz#Tf
z;8o}xSIJg+>d_<;6(~thAE23(hRA;%1%K$)$>x`=2AP|wf&cj3$_58%X!R2ADjeD%
z-_{7lQ^n8%=QUw=&Mq8O{%hZ@7}+F~9=($0@}~zHs-tOU$8iw4QQ+6X`H#GJ?@V|`
z0wY{`X2CHrBn45&W=9EEcgbF-w6olYnIU;jH7>|k3UH$13*=-9kWe09dUl=-qUf}Y
z-_c2dzU!*R5;YYhkV)c^SsXw=uQ-<YpCr_Cavi71qK1KrH42d70&>Jg52w8(aJ9!&
z@|~oGag)(!oqgQkdWSMNokJ2F_%*k<P3a*ww6rd}oEKL7e5yWvmw=hhWi~|*MtE!R
zs6nNU4=zgiEX5Z~KxaUO?_fDI@H$6FNNx&%)idrm^M?|!=QJMpL!S+tTBO=J&k4cF
z3kkgg_a%Ud{?g#1n;gJ)R$=QLrzmXSFzI+wAOWH+Cyj#{xxo9)J)x&tVsJS`fb?WY
z0)q93VvpZ&!vpt3%7g?7=!hanJy4N^)5Pk=`_a50Qa+%ip(_QoBS#Ba_x~HTaSB%x
z$p?pz@p4zPNJB&t`~3??q~P`kpGm0~0#L<cKPL5024?AxXK%~lAStsm$!%Q_ob0f-
zWCnT2QVP8>1JdxYTG-7ZSOnA^zkXp*QiKU?nTGgS1}J@QdUvOY0j;+-&cH(%z^RMF
z-c$}`(>HW3?21Dpi7@JKgNKO^(@!`o6+rrT7PIU%N%))g#LO&!02T!+Q!h)Ez-Py?
zho2J%>po$pGGd7EM<+8b4)D+u^|7w6L>emY3B+69R)xMKd#R~W0<<gsY&m*D7IKxT
z9@(B(16_XI`q%GN;aC~VgP2V@IN>m;J|#i|*Ul4m?Vm`nE8W5xo2mdJ(+O544@q$L
zbP4lK8cmq?`cNCeqXZOj?dfkmlHkym&5_J=+Q6}Bc8oDl88V&b&az~Xprg_AmH01R
z2%fnS-k+rcYE15rVp&OGEpDHD+lvgOcCwVE5gwBEJW$#}HE4=|B-Z%{fV;%^Dnkk$
z4BpCEdo>VYVr`vLhshAel2m!L%ka?o*@m{5lK`jLt})m!7(v7yIobF*9&!$tc$O+E
zLz$7bT6Vt?FmGfww7B8n+MCCn2ioNzhrv}mGuRkfU$1`rGOhyrEH#}D1~}jj+^tR-
zGzRn1lvSmCW$?aUjt!KHL8IbOLLY+(FwJJg_6RG%Be&~weQ)@oLk2UrL}dcyN-k~_
zHVRNPd8Tps6$iwc&3+}e8H1$x$Vt4t96ZX<wr%2~hAol#tke)=_!;MMd`(*ho_XBZ
z9#xnj-*|Ms@IH+(L|$L*f5VD{zM~pHlOhMPxY?bown!tG?we|M7?yyPvpXT$?i*O>
zPwS`6bB6GP#?bX`g&5eGQKn%yDzw7>oBZ6~5d6e5xl=$G7XJ+7u+!2b{<Hb*H1!71
zYun6p!BhY=Vp#Wv6Pb`TtrJdL$pGxeyHuC%@WP<9c*en97Ia&jf80A8pr28^$AX6o
z99V9K#3!+#+=lZaExZ8#?vSb{Kd^$DD{E9q5IZ^-MRNTqLk8Lxc9vOx=)pB#A!lKT
z9oej88_p5*;c`P%*n@N`aCoL%nmo;pYG@BVI%1{=!Ra`v*z|33=t-t()mnB`VP`62
z>8lI7&4ILR>&xWQ%{1#2Uv~6I?ZAueEFE|q>0$EW!Y}fX_~l|Nc6KC5X`t!zT^lYt
z{5A05>L52YdR%QSWkc76&(@U-YJ-2}s_GX-3?t>Ztj(WhLkz>Sb`<BdpjSN8#fx_Y
z`x1L8s1?VC`ZURu_v`latfojU%Kisyi?zgS(eJ+(C*Euq)P&~c-T+b7C5-a(yDeKL
zHq`s#4h!+R1~{>68J5bfVb=s6P)-urP`BRHL+crJSX@fOf13G=wGc^vs&29&<CJ?%
zT_@Ecf%2Aap4UIDIhOMK%q|<M*!=k_x|;;DkJf%%%-_S9ST}0<U$Ud-*XD0DY)GJF
z{a7#7l@gu)J#gJrj{{jwmTq+SsKNPQZ?&R9D&+eyIJ35n1GzY_{X6ce26sQm>)*Gg
zL5{MfwHx-FC@3ndADdT&VO`I_(pp-i#aRFO79$r5IEL?4j8=tq^;?vj%JitO^pPD!
zHy7%?=zH~ps49$XM_zGz!GKh>B)VBExzT3NJk7g$A~?x@J5PgSLPZ%0i|%iEP|%Ys
z(y{YIxb=R0hOL|#wWhWwH@5Mjn_0ha{1G66I&E_8$rG&Te5AYv4J{uc+11>gX(zy?
zX0hZ{7Ix$-f3JMOjvw`gDNTM)B7pps6j!Pr2WslGU9@WyK$pfpEST66;AF=aUj<K2
z)Tegm%(|^0GQ#UJ|B@kql49q}oC{oN&1}2zEQK&y_t|@KlZpV52YbrgZ*n8sYUyOI
zFCu6$t3jK73J-O2`ufd9Jg8?(Q#smM4A~aGVhHWWLrGfKS*lrH^e&BQGvu^5VqFUm
z-T96OiDaK4ZZaR5<(x|Ly)1$5T24m~Pv9Yfk!!L!j~}_10q@-hlE~w6^kgI@0j$tp
zwg03KB85BJKjJ<~A(!-QJvS8s96U+SI#ex)$iV^E!uN3K+C@Jk>`#DM9xO-DTNvG~
znG5@7AcN|&T_kNk5y0CKU!Nu;isp|-iyerQMbATMT%Y2JFmmGYgWnNis69g~b+cU#
z>76K8O@2cJ32&F;dVg_r<)NMcFOLH1P`&Ug?1(Dx_kGH)KQDm-do+}%Efi6^NzP9<
zS~Zwbc1UeGCyC^*q+|{GE1~=$`<nj!T&1fPq$pmHLg(*bTE<tDk*?fTokm0g3cKs8
z85eMfF36WD<CF^0d)S+;^+_E(gPuH=^Oi=fRc8{$8SyCmVo<C8m<HIbY&F|D%AkpI
zw)iiH@#yIVtLfLATJZU2x(d6VEGl)NjaK%+BZ^qwCQ%!0xcckevpE(yq~CLj`l}Nj
zG2hIUZ`q%BhK3}2>jpWLI^t||Q5KIZpOyTqnAQc&#RuHkPV&fhvZ5#9feL!#a93<b
zRUhuoN;y3LDv$KsQ_G@al#!AA>qFfa$xz{_&E3JLfSNwpA5E50LfOorRU_sAbhgj%
zk4OqgCOjZ8HB<o|Wd4UM{{|4s$IVkBrGWB<x>Y3Z$|1$5%a=RI2Jq`~&4EJ`@~Fk&
zjmPgxGDv<fzRxSu08F_Xd&Gm}k;k;t+Z1gaa!plA%^o#?c-wTdhy8Mhw<In6$%+IL
ze|u=EoY@dAISCb><CR19lL;Myuf>qFR`kPFQA6;Y4Kuu}B#XQ}bH}%Lh0x(wUSHCM
z4PkX#K4Mr#2055jmpvHfM?Xvb>z~pY!t|ffkoQc|$Z)}vUzCFv`3moZBn=zDncxoV
z_d`-B-GqC{;RPr19Jg~<&NYC>7phveFC@`W;pxONBUaQD=Me35+5o6M7*x}}B~aa%
z2y!~Wfclk=F?DeofNzAD3$vm)dV*C-e66NNj_+>_2-E=J*E$|e&WfV{uCIO|%26PF
zst44k&j3sv+{8am6GqDKeOr4UZ((asS;8Wy0o1*Xf-na`#8cDWuR~hLyuZeaj~^yO
z@JZrXoQ?o8`Sd6|acLQIyZW86D^?$Hs&!S4z=t-fDaOASE@E%eM^^7Q=>bcyBjxk+
zyeQK0t<_Y-Jf<m;$a#fX556ov{Hk8fjk>*_zIW!F!%W7zvICCkLQfY<w>OasRVi4w
z_jS)=ibXAUBAGgH?{9EgXB!9V369*@PMyP!sXP<-Gqs<?j2KT=96NFx)UPrUS-^M<
z`NBAKv>~NWu+M&(1=ZO;u{xc<h~<gn@D(XqFeSY5!kC5`arf#^G|?_&na|TZ#%DF5
z;?6xS9eYN^=WEq2nz@2q74tigWvL0p9@BXtzv)q_Ddjee>l(%uy{X&#S_4uUJua%0
z(ji*z0K-i44a{!-^F)k*24u<!zbJl9i&%5$S=AgjvEqV|#-}mruw#Afvfob{bgE75
zBjxRFjG62GL&3i!U^L@pmNue6?DbEQJ9~Dp#LH?YXM9N@yvy;Sw~ZRfa=x2ACr*L<
z(as6xDK&5yI()7B7B#xxOx9L8ONq4J-K`1pQiF$XDb%fQ)JR(WPn;*BLNwbh_F8{b
zVaX=G8+lNp7@1j-JOvuWthLH%<F5*YQ;fF!@zm&7>(<q|LRw_E`!T&^n+UYHv%yIn
z)M$7-IsKLqJ)+J~<NA_7giy({M15@<q;s7vl5ULwDFi>9Iw?j3syGFk2MshRp(4G^
ztbqv$+&a;oS499e?mIVJd}&epzyy<LDGOSS@|*A9=R&-BxI(c89Xd+9u9*9Q4RJk{
z&{5dNgWb$_$+84JV!d4=WE{bP#`uiIe(c|cKjjBgf2uGb&DT{M&c&Q4P$t;PV*kEw
z=KZ!9>B@*SEGYD%*0~UCvxsCn9Uf-1v~IJ#VL}AIZ*lqdJg8qT@ksMc6{sKG;S*3~
zL6(wyRbRV!(QJX|b2$bTAl*-GI`f4U3EgROpYh>C+I^SaGi515V9~PHk2H4F`|aQ5
z1t|eEcuF#O9+V+_>%xHZCk{0F{L6OX&Ovm;y4Lx@UnO{OadSScmlFku5)B*v3L)8M
zQ(opzO5l$-;cnjJLL&3FY<KxYkxzsF#PfV5h%#A;6*c5RTBmF-L==f3E+5+%)|X1K
zna#%kE}Iv<#MK-v8xu$C9JgAIASGyQ2^&i}z=vA>1?BLvlBnvJP)GZg5<HJ|(79Q_
zkKDZdi^$id5DC>s9d}d)u~8E?e&>V8`;dOl%_$tpcaw5lA615TA*Xl4WQEYy!&Tw7
zQ!?lm$x>GEo(gFCpP94d5<v=f0yZ0?vdCwcVxdq64<C$LZ5x=y(AK-{fM?$FsOtL~
zRc;d=oc|uaEhZ?A{A0I|@+~Ut=PpyXB#;0*ng6XdkR%Xm&0qsppc3Nk4vMPRA;QYB
zaII8FNmTUTu5rPHGIBYCJ98SR3LDJ_)hcdEp_L}lu4f{6MDi`mbj7Q|k+`bAw_fAW
z=xpD&;dgj6f1s%<{Uiy#MXc3F3`(P4XM+~3H3+EX0W;0Be08{e`MD!;PX?uio;vs=
zjj+#wVb4%bP2jUg9Cq8^+tGA!pRa!*pvx>8mgcEiaOJLNh5(;D(lo-oD(EI4hY;HY
zYbhPbwu!#^>z_QzEM2tP%O@b7=&z}*b-IwB=<cM7DWF=)#i#`n0^0PGaz0_N4^=f`
zlf`z5==pH!X}bbEYMFd`$^0i7tXS(9n`#u1+c*2aeI+VrBqZWh<9`7B8y*}=vx<ma
z(ky)Gr4s6Tl_pwo!~nVmDcE345k-vS8|}>$(147df8#zE!h1_Y{4*3$@ZaAaMuoCy
zab4->;t@lTVs6v+;a5aV%Iwi{6F4MwB}4kjb3;)4@|jialmfbhqwH;9kwnzf<jwx?
zhVZq7MI^>w9-UgPT&2+yLwNnoGJ|~|2^@D`F|(6HH!}5wQh5Z?U8B;x!AV0P;PfJ`
z`DD>?>EMPv<^xFWWSR)}(GU)X8HP#MNTa_wykADbIMLYShX=|M4FO;JTsp}Lhmy_Y
ziP}R<NVvgBzR}naLPT{^x4I+|pM_{o=qNQh*>NYHYTf`uO;jj|_7cc#D`~C%?>2_?
zR=Xt<4Pfv+*@0(73{laW8y&S=#*ABsw0v;}5R}#9@?%H@eKQM6Jt;bgZAb5EW>@Wd
zjenN%tbh<YIYx@)((S|oZ#;Z6X#wEVE1MdAMF62E_WyM*24L}00f&E7lObDl!l9Cy
z5BUcxXm(RIll$D=80N?H;pOex^J|qnh>OLxHUDon`S-=fihO2$sC$(kzm>^_#FRD~
z3nu%?Y`fU1qP8AT5|t8-ia3zK?Z`vnTZ3fF%3d=mKV8^bD0&ss$BJgX!xct52FYfZ
z60|1rbilL177R+5kc^~}tmi^MIZMAaC-%2CaM^U#eIKAlhQIIi7oc8p8nf>uDkW`D
z88gLa+R>tQE-F8rC!J*C!Ll3pP%ThjOE7Q}rbeb-B|{0htz_?`@}fVQG{HseXH<?H
zCAw(UtJxu4Pkt21=-)4*3GJ#!+&X4<u`(?|E?3ulGWn{$>3En1=t;+T#%^w7r`Qg3
z*ofz1-9z?Ljs5Cy?W<w(Ou!~~+P<pY?<>O8i{B1f>8r!br9o>xiw(>|+0&)a=?f;=
zaogWKj|38n7R?=3*RWqtsY#0qUDz#=Ki0`SBv^W3_4n!a3U+2XCm^w~A8Sn}kpA9M
zg9lG?5BGgo#$M^*EUeCqVm)R%bEmddK{qn2CZ%NwYflWWY>EGgg%H^{UR+j%-9ZY|
zw=7H8hUJmKH{O#Nug(+c;w2(5P!jW2ZZ2Y)J56mf7E_p%L9OGNKq71kS}s;7EMkY|
zEkE?=&R`v8!-V{G0@$-fy%V8W#6EDE3q->_rqx+A;TK7O?a?TPjqL?&DXVg!t#}b*
ziO&#y!AJnJC<ECViA4<mCc2`~Y8e~CUD?xogohP{$KL0B7BPDfpRWZJtJq_e3?XrO
zJn*U{nPl}ZV*dmeH%436FrJnLyWB_>sMdT!3_iDn08K!$zY!l!5g)(Vz|x0adnT4B
z1AW%}Lm7h0Snd5n=Fpl=tmZm<>GCfnkgTJBF0;6dX|=U39GTh1ykf5<c1tNiZ)7-g
z#qSmDd7`qUoyjg{gvU8)pHl?Gotio;>NU(dYV8*DSqd~BXj89Nt^m(=hT<<8uVb=a
z4~#!FQ6ig}P=irg1#nJzae%341DmDCqA5(Nk<0VXOm3&-p{vB?=r!^t*2`HNL;6F5
zs8U>EwN?&VQmtoR>~3L7{Ps>fujvqpg{fpjN)EPX%-b60{$U~<Z9eHa4Ct)ne{9$8
z$wF2Et91d#9@eLld6ykyLf@~+{<dI}h0C#5)|x6Pkf9)no`-`K`9=DW`r~APty!@m
zhms2Ic9_VgKVnCCjdP2`Tr#kjz&ml>j~XRb+BmK#bD|o-t`zN;(m=y&Wp1-agH{bi
zf?CVC5XT9{CJGa2U@6X^HF`&f92V3IKRfZDkQDFG@I@San8>@{n9hK%9cg&HDR%&c
zccu~b3vi&OVv6n+Frl@ikjWTHek5zbOOm;agAtiSMo;Hh(8>f~#v}8C==qg<j3GyH
zFl+%K!rtttY``VK=$R1WE$t~7Fu*~t)>r*fR!%g3W_`y?NfhDC8CSzCaKKVs)EN-V
zg><#^bIBWGi2QrGlP>@VH;F_mMoAtd8f%tUen|o;xY}FNzQX~PSma#RPhNERTjKpV
z7Af>o_E?Lxgfx(4d77n~_z<mXlWRgf4z-`>b*`+GhTxe0KAZIjAm%=M^T#PNsOwBc
zz{l${fMvWtuf;5cOgqn>xNt=d)m^P|DU6bZoNHG3zUM`dv)Sidwta7E<EZ0-1~~|F
z6nn24CWb`3s+w}6l~9%FipF~@1*mzLQ(V+8ju!9(+mjDfQ24fMtFxREi1lXNnbML(
z=<h<VeHR{ORjmh1xv0RQ1kP-sGAVSbps2&KgMeP986++L#Y6ckwqInDG^*rNR+6eE
zqG`up&%RzJ!iiT`Bf4s35b=XmKHO17zixiMza*gse}5}F)*8#9wDj-&Lqs)X`q4bh
zol+g%N3n%z)yt#W)mKe+FVqlAS{4NtvnD*=b3L&jtBB6w!rO$q)liV%_tQoi+Tg(-
zsHM5@$rq^o1%AC%Lmc!|jizC`P~}e5^(0;ynMjJ*@EfZkQd;-@=SUy&{=1Nyb3p~I
zR((&g3Q<KdlIqufgaf!ZMQAir<M;RW>ht7dL^OZ4AnR4E0bH)R=I$tuM+5n?Y&-*a
z#Gg{%sTgbs??2>HaY^IRi*)53qOLMp{L#L~L^gu^;bF0r(<*2%NxgB%RUTd9Y%@_B
zGy?Y+4hIi{3OZNa)v9VPjU0Fqro#>y!>`^WwR$*Zw6zsZBPuI_)Fs3n6|NgY>B+l4
znc5W5RDOhu*I^;_#Z%8bFWwm56orujv=tCXS;VW?hzGT=3oTEbH-=O0B3?6><&d0Q
z@WV4>%&3%`IR8?{7~Y-irY^lBgCa_1tVuuiFuJMj0Iwz^5b9BZw@Em3G>m>`TIx4u
zc{Wrv@3;{xepD(QiI+tFJLf}hS9X)x4^y@qbs0kTbXUp6IB}$zcy37T(K7k?zathL
z=7#X_eo1V!oG4=W63|OUxkD~s(y1@4HGsurj}-f}f@q5Giu;Zi6$Gse(>)^?K+)bw
zb+G|HG<lyTuuP2>P^Ny=k$eDsF|&^%F+7Okadj+Sm>wvdJy<Oy0ZxSc(vR`yL>?mQ
zG>b<V;3D<XyX8Y<uvs(6qgH1{%>w*rXPp7U!z0$CZ1myR`ekc>CI-~To8f*#oe|FI
z-R5&Yrw8=M%XM!%Q6tIS)qnv-Mv(K$pD;<#h3Fi{xht@X{WA@*rdeTtd0f+@^mjVY
zdE)x?Sl&8D6T9<U>oEg#r|LTt&uPPv%3tQ(<qOyYf7Y+*It;KHVc*uOs10+QbFBt(
z<5=8Qy56?|dZ?-1jw4^zf@U7VY=><JX3gvxo*zvQi?-FKo(-B%X{zaKwUk4qVs5D{
z1bQ%iE2mT_pb0tUuj11Zy2u|5dU;}a=;40WsKUKq4d9lT`csoNMiw~~AsR|U593!m
zJInSto|C73`A+#1*-yEi>lHUWG;niBl^LqTxfDlYi^2lg{LNT$q%l3zpRA)dFC~Fb
zhK$9fq-C;Oj(p|&NA#fWUtVB{Bf-DpRNI2b*T|WxZpT|W8DM7m!frse8jR75#4{{z
zkgK=I-+sPkfSXk>L*EOjfslz!dVt>+xhG}YR4{}QPF%Vq!IYy46fC6SH~s&}jn)hb
z$(~FwI4QZ~D60z3hxCto>+F#^DFlQ9BbcG*X>MIn1rapk`kHmVQ9yrl+_3|Q1^kCd
z6WpdmaG#yUWm8eXnb+-|lqzfxJW?d^a+Cngwo5rp`qWUN8$wuWWe54;#g({l0t^bO
z+z*bS0r?^ID8DZpP}kbEvm`<QrYlnybcSi6_=IHEPAexgJAdXA{fvhf_!aFthv*^w
z&eqG3NiKNVVW!{~ga>Vzb8JnY7@&0H>@`n89vIT{R2A9h{xM~rM*UMv5clra?SH<!
z(7`%LN^4btE&~y~IyVahm`)<$(F4H#-;a@*V=A!9xxzO0n-vZVf2B3^=Ld(|Z<|u4
zl)-HN#Ousab{JZ?v9vC65C*AjG`UlhVKzvnv2vFKN(P?Xi2W-F=g*VP^sSU3tlH|;
zVF@lcTvPI&!m=<7aJ^@d7gYwC8i{ke&fMU3{F<EygBTc&^<L0pR0f^0&SJ|V9ynB3
zC4639913`JHA!sBkd<^y_a@%~2(@(B<93yRiZ<&9vIJ$g5!UScDU%O~GsDf3xsu>^
z=URGvkTSHk*WO;&766J6U)F&gDL7*MHAZINEA3W)$UR#-2(5)zQ*}M1p(}T<MletX
z6dTA#Mq7p8m;Z(FYyC2i_#*7*X#qUEt#U3@suh7<<>3SD_HvNuCT-D@iig(Wr5Dm3
zVldwQMp2|+9v-tcdql|)Ah)qT<#v!bB#2fGggYw2jh6cr5Bmv_(Z9;Vmm&dKm*IXu
zyApVf?{<AFAOdH0$@S=RNf4zmYk8rj0_Qz*SKYEy!A{wJwqZyL1`o~{-_yf`qvTp`
zOR*ZzoH|3bPAd&XuA%&2Tk+6tF+AlrMuNQtm84S&GGID_v774?AT7l3&ncn?%ti3#
zcpa97JZGz00(S|}{bQb+Ia?DBU5ylfZ7T=i&hEkC<pj7mS-r|Gstup@{N%`H@-Vuq
zyWm$yfFE2VBVxrmaN@zad(~nJAUWnbXY5A+e2wHkQA0i0qdeZ)(y0JbZ*P7w+rk5<
z`!Myzc76CHf4VWkK@sjd>Xn!u!9!?Ijd`6kKwvXNO-rF7(6MisPVD!Cj>o6Cp%*~-
z2AworlOoJ=OEOk9C_-w+%Gdfp1IW7Zj?=P05#olp-jz7XLu%{vS*mpd@DHM#X*s3{
z%8snWCsi_#d@F5|+QksA1~LgvU<$x-FrZ>)Lkb+9#_-hT8p8PxX&;3C%0s)YUFkg~
z2`I0UZ>?@Kgzs}C&L4YnaEQv}Nz6|Xpet1Eq8l;<$zyiwf+Mn^`1X6}g(3kUHh#Z2
z`^6AeliG?tWypZFR==RiAP-2*fJ@$f{lGhkD<|}&p-e+UV?Bxkh$6~@d*=+{e*gdg
z|Njh^cRbc#6vyqIz2{@khsWcw$M+Z|MP(+VrG?1IXh<RwNg>LJR3v32mFRnaHjz<Q
zwkR`Owx56R>%8vg-gECcpY#6sXZgXwHW_&5qg&zY$_#eu1CCQ-CO~~@u@rZfhRbI+
z31&?+Ad|RyV_%Ii#J{iI<{p!T&iNNY8_DZf{D(-xBsXIS6%xsQ?@s`JFE8%=)Ol=;
z`H$A<27m#}sxXhRINa!s+#a1B#d!ZjIDCo+&^)|X>Ai;t6l)3_ZvFa>5%;)z@yY<K
zh*VFt3<|>B`DFs}Up{vBZHnoVHwLuVV)7S5_`#*Gxxh;i$1VS49c4~20?mXR+f8#`
zs4hzE?zZ}dKThOMn5i~|AJIPvHW)Yj%1^WUsqq~T`$657wqgKpmSgWKpW%eKlP@Jc
zrToB&E%jS@L<8u2;BJ@Vxd&E+lliXy{*F&}iN8MSp${${r;lDg%L3g#6K8%Tx8Y?{
z<AnBnJz(nOZ(uHFg!vR&C2rX!{7zI4WqwH)igXv0<1Oi-^^GR&Cz~p~q%%4GiHR<R
z=h6I`RilN;p7zbg;9@-e_c8L*BpvuBl+ygeff}G{-rh4P2J_BzUuvAu26~FoYJJcS
z=Bp_!!W2}7(X<hNj33YjRj2Rr)$cYj>r0wvp9nNyL{y$wldlEiH0QoOIJ%B4$ul};
zJZ#7G_t@#F^Jqccf{QYKY!#D=bxkvV*^LPnd*eGHn&996ZaKPW1skB~%9No2jHdO<
zLFO3>+_1Z0Gv~03k%nEueSJo-xBeUAN+&6B=`suJCzB;i(sjWbMT}wTk^09>x-_7q
zO1me(dlB=ca>>Lp$1#1~7X_L&8sHRc?GW~30h3cbl%Z5Ng;4@R<)&K6pyz4Ov36+z
zLzwke&Guhx?`G-`OItEHaSl?-3>Gl2{5+H*H;?HaO8;QqqYi#Q1H!Gf7qC6gGOuO#
zEnwAO=2O3(R)@i!3h{N91x)u$)q?ShB~0qPmhjhE5^Saa>x_TBfYGQiXx@le!3uZS
zU+do_!IUk>wOGkT%&IAPJnzOTwomzNJ0C9zs?IJ8tyC;xrPa{tma>j9Y{u8-IjBK;
zcZS;On@iY0b1v0`&Q0u9(1r5F7**(M3?7-hu#9~$aNKv%Xa_SMyWYL0o(ST+iRYDr
zS1>M}D~i>VRIqSQYnhpq2w2#gWP^f#Sn3e|eEJ9tWHx?ZrnOfA@0N;^VvaTJ`Tbn!
z!5_3>e5EH<=A|;2Hz+uyrLJREOpS>CDm{pw)4{X1mEh}Hr3<(0H?ij{nZ_(;jIgsh
zvetN93A9GW3GT3seG9ul)vLt}Uqy3&uGT67>;3OT<7!lJ5%)V#;J^xY=X^?^Yb%07
z?R3C^Gc~Ne*QjR6-2;yOHe|OV1uzhbdg}0!26P(ivIYe>!PQIQ`4mL~uElZw{lP^C
z@v<SRfmgVIm2J^oyh<L}y(DA_S@fVhpgtI~!42alXr0(x<$>pe$sLoUjNs^W<!VzV
zFWl-o;k83658YjnoYC6MaG<Fv*7_npOyAe2jQAu6=?BiQ+}z6wn{J^ZtfvG)SAvc;
zI8+XXp3k)`MC^eh`=1Ukg$YAXo~<{hqa2u>{de%^8V5wYf9WyTCJJIXW)*+;$^i`x
zSFVa37s#OLt!!Hf=ygc>q+%%tAEG`7*)(#)$1B4NFX<#9GeM^RqPH9@;ZceKr+6Vq
z{dt<%RVhfwQF%L2C<j|MTrUzu_#t_HIgE-`1_GV=MZyK;VZ(}h;^w*lkiEbns#F$~
zU0y$|%aaG?ExU$~J3>HX_Ki04nmph?uf;BVDZsFKDLbYj3LzmZr6Wfbf!`>1dG3ND
zJUYc5aOS2sgj;>FIc=^C|B+QA<+7EaBd_&sWe5R^L_`i+n(h84vwL^!WmJIcxw~h7
zvm{i}zv#WSPYslov)#3qh|s4aMT1nOAz=8;*YqqB1T1ILY_pL7Hi;=Y=`v8nxK`}=
zNFCzq5&{~m)M0eycX$TB98eft$9ICsP~zjYaQq7yoS8h29!ivlLd(;uS=esfE@<9a
zJx+l}-ZR1j9EuRKdGkHjpa%HvcuwCTYJqHsYvb>mN}yaXsB-Zj1$w$hMnz<GU@K+{
zkM39A)o&Y~45k2&?K^E-Lp=~R7(Q4cOawZG9VseT3as`^c*%Gez$~j~PKt^u_#Aw3
zDR))_vh0GJw^NNkHj3x0E2A1<+XXQ-DjGl(HyJWG2{8Wbf&BVYHE=x<RcgvdhU7A#
zGha^`L*&>rx5|tfOrDh2`LBQk12bPPqx~lEkLN?ysc|)+eLG26<x~ZCt-^=<*i2#i
zUXfsMoEoI$%m{a%RDyC_+4cArrVygfDyJ}{3V|mV2eBYISV=FYJmfTk%5TJO))69T
zXBYV#x*-L3E~Skgwlo88p$$#_G!^()lK#3xUku7`fPamX8GQ06>xvgr2Ax1F*8EvM
zFw`#1I}K)#*<Aat^qeBp@+st2C9{M6dFq+{v}Rywe?3R~fjk_aKA(|2LIbM`?8|<6
zrcgTcx={Y5EbJS~=r*mG$1*B?X8#(P!r>7A8pUF17;>Av`98V`BUng=?fuULh~wqd
zB1jUFb;>GN^2YH&)^pB+h9)2tyJTotECCPuJ$RmVui%INK2KUMF@}Y!#f37=qLBHZ
zhV4u9HlFvm<GY=TF*wy;-$}bK2p)HDXEIpQpsc@jwuLVMc>A|8H7h>&8J(AtZb^rP
z-bD}RO99lZjoF;o#|<7OK}O<_=+QjfSG%`=*RR<$K6|dSLu}a_ik3A48ku(X{%3Cl
z)pTjPLBE*6qW;?nVip6U6^X3;<z)!0Uzccm%;-T~Ig)uGn*s4jt=&|JH-Ia8W<~l!
z)bQGWBbm{U0qK(m$@b;?P~v>1(f-{!HXXbv&@RD%@WDC3AM<)}JnID7x4DQdF=|?#
ztDr{<TBR1$Bt2Nt{Fo}dI)zn6l2q>;rALkTB`S0Sb%D@-Ot!;#7;AL;YpJ+OhpHF5
zPmWgUK+}t>j+BOP*wdw`_?ee<h>)56FHlei;uX{wHl<SWPwZ2qOm{l87$GJX?5_=H
zswZ#D(zfAs1*R`k%;-?hpzMdxA6h^W>syBA0bKOUDL+nqI;0nhcWLTt!BEJf<mMM+
zxYvBFisxZE6rg^x#X3h5OhqcVGM%RIH8*}Qzi>L_b!#&=MNkvM>HjPoJUoZ1U2xQi
z>ZU{2>EA$a90gRf9c?qK7w|3r0-wgi^r-59xbzA$1y~N{WXlUK<7NtTMTV2~i2q63
z^_FN2AcfY+j@tgiISTT=_2)96=FpU72X+nUb`E{Z7q*7Gz0uwL5X*?30-xILWHNkt
z<F<GtcLPrj;fh~>#DqpfRP&r=$-tJa<(J&Hg;OG4Gtx9LqgRiQuZ(_B2j??)Gqh=_
z(4)HI>C-Z-C^u(IQS-1mEZS3XZb?%k%7i)9d>$KuJg;nzDH7DSiS^vJra@5`?#@>o
zXGbhsZoCDtB;Z12o8ob_sB<63fT$!V%G9Xo(a|75l3k!YO+OvF`<lvnLzxTt#@;c1
z{6!5C+p0v48#AEQI|Zh`*4*gSqpYzTQfkoMH#_C}g%O$kTzbZpz=IwiKixO~P!+yz
zZZ@kPWky5l%X!fYylB5Ts88?q2|>#ib2<)IWOL1C<*_e6I+M)uH6@)094XIE2v4vf
zO3Z;0Hf}*QmG#ZpNskBxc<-6_<Lt;MO#DD@hY(`E8NJy)t^ybP+uiQp;Y4wX*1=+5
zM9|^D8&1=CDsb0VU9qK@3;7SI{+(?SL-q})^oDM!fbG|mpbtyjC`vGpE}xo!s9ZN@
zz+VOG!#y@S5A&k((>+S;>XJxco>q!FR0Wj&%uZ$1@S!W!Zuy0mrI2p60paQ^6}Tig
z=5qR|0Mdg39_=P+lv3Jhd}&1mQhwLBNHYkb{>~ZeVl7!Tb;zod&4UP^?|Pd&ZWl(^
zH_c857R#Zhah#MPCRO;jKZj|nTok1jHWW=5D4@8yDdyTPRZz*&o|~u^M`>eZ@5Aki
zXr-pg<7=-PbO~71Ke|jn+ElKj`(DZ@k>f=D_U=16e_)euOpruT?s<o{8HtF!;tc=8
zgX%CP=ykyHixjdVcivQgtcw1nc9<6_lOde=pHS<(G@4ismGogHq0<(5Wdo`jaL5od
zn^clT*6!XS{$(U28aKgPWlsSY?iB^UvvMe8)bi>_8+D|8j||;UHQ|hu6{k*`JmP#p
z$u4P9M@fZUBOI*SKqVg`!QG&Mj+2QB4+&%x!`yx=G(iVw3?H@5k1C?~Eo;(6`^c#L
zSU>?mLk}M8Z&BnKS3**lFyVj>8C9od<dqKVgOQytvqhsax>z*bt}v&LYQFyUn@Ti<
zAuiF==fYKxo2T?;cTaUBD|kV)7%=GRd2$wKC8Cd`irON1B;?vU7qjLGAn)*i<)aG`
ziB85%TAffsofFR2%jJxLjZxF_h%XUc%!+a?qbH)@5=;WO8jayi4Z}|AJ|cS0|7t+X
zSqag52_I3jF#(aw%yv9|Dv0A#Oqo!yJc=%Bmys+pfr9q&1BDtYs6Y9=w^5J`Qmf3m
z6F_AOZ;!s|YqM5H1AB4ve1A!#uz8hPT-Fq7>`x?37$_n3)l2jxY+~qEiuc*iil)%F
z+2XsiselrqYRziz2%tOu;#!tmrXZSf_p?~4Jd%Iyb-m#lH)1jjvqOU>kf`;A@R1;g
zC|Rr;CM&E+`q0h!h{q<NVCl&#kt~C}Ql6iQlBPrUh15TUO-%rog9=tgY4pS86zu_q
z4Sd>VC$MtJ7y<+-iwA-w(cG{({}AsSZk%8tWg2J<)`ru4oWCTHsv`|-OZDUS)D0J!
z7>t2OZzjllP81yxwI7ivdV=qtbuF1m1o#k(8OTTqqmhpCAZFI@7z5MH_w-%=vdAfy
zbiO8l;%jqC*S3bR^$Na$l+zdlw(onbM9YVc_}J6b?)i-=gsGmH3pauQ#fF%nGHx`u
zcw_RD>;x8}wS>py8G_<sXNF}qCsMtu_Oc^y61&HJ`?+$L0Tf0=X7LB_K^q$*r(~BW
zvFpZ|9FfHUWZp}gB{8xf{n*XI;=_|z#)yDSuBkqF&1Y+H%rl_po2s>nYvWiA!}qPo
za6Pbp+u|OnMu+^i!h8P6{K3R!PajNa(1poUZ~R;<s1ZBOPX@!yQ7p2~?0zbrE)?Eg
zzJ@98;D(j2xhtNIV5;AHCoRtFfDJvJUf}T!oHZ#lGfH6yd+DN6@BBr3m;2NF9NAZK
z^(v!|MVnqMK5fM!R#+R>Vu<w^aTzyZjk36XvJ-PPWl~DLrUeP#+{O3{7x2=1rfPYy
zZCItM-d(F<O|T+;P!Eiq!+nh&>Ce<QU|;)w3wR&Y1nP38mQddrTy<|qv~(B3+&Ek7
zn?6wh??}tq>o|$K+|7OznO=xJv5Gilq(XuEFIiVjD*oU%b$KEiXdJM?Mz^ulXBzO&
zrrKWQ;TZl`w&2aB6K`=~^`)y6)qp!8)d!gxf8j}%tuD3fUvQeP(ueU+$dEYMTK?a$
z5u8IUYwVj^E#C6fm19zb3<4FW{<>=q<K4~d9rlD~yfNXY;k!(Ac(R`K>9W%ht{xQp
zu3@PS*JnK4)~=uqPo)m<iv<nhjRvn@#U1Lvo0V=Ws+W+!lWW9=@znrs5hb0U{<0hQ
zleHB8XhMSE$;s&>Fo0|DuZ6iX^x?V3C*HltRfD3sm6MT_0lc8V&%|qYKQkV+klr>`
z*f+N+FnePF&&g3rYzrI46VRpnX)0B~JeaC32=B%{Ou85C^a~Gpppa6kNra@VKM%60
zhwx%n`T9Kv$MAT?{ysq;6%ZG?tDd$Co2%KS-Jc!*;FvS=SuRip8TG!cM^3|dUUUD3
zQuG9VDch}%w5$YgDq00z7>(er2`<*UBU3ovqBuh_rUY+akykJ5|Ap6dtF;Py{KYF2
zULSC~uLwJiP4~I3jN-hEwc{lTyYq;yAp?0-0kqpRBaXI@;Xhe4<I^}7@Uk|09}Xi0
zIP}N!>UD=dc<Ir^s)T|?ykheT-+Y=p)J?^lvSgaThm~%4mt9`QjhNM<+Nk7Vsk^#}
zFg1y{OuVs-J@XIWyE>s!<SqyIB<z#MXlC$^!G*Qy@HIRsU-MFOmn^(9`LRH-o5itn
zjt!LV4ZKrHy(Hm)EO^cz%-x!w!?TvL6GrE^ag8}#6|a;5B`N_kS(gQz_&D)qSt=Du
zjPZD41Tt_%ZcDsnY7uXg-ofYPX^=!dd$d`VH1w~>)8{;2#^dD*YbE<=(P*iPJg=oR
zyk%X_sJ{CTCw)W7k>&JAQgk|*u2%}Kh!xY6JX^yj8BfnvHZvmqph3plK2p${8!~cZ
zegl7sojdY}mjx*oN~KEfk%HycbpF!o+xS-Kecs??HYDE}bt<|@5>E6vW*NSqLLF0C
zt-j72C<UJjOFAwI=Hv0aH6$9eS12I%g$5T&uhsow%_j*|;;J#3qqOL!kF?6#5I0(v
z43J~&B7n==p!)CC^vFERW&QLgUUW&x*~|O|0p760@_p)HL?NA9q)Nn(DxpMtGmHQ`
zpP84aL|M@B(SRF*8-j>1vN#oZi2xlJuEf1fV?%-J8V#2(iXfJ@sO<<J0{rqj9>(Fy
zf%vPHpM4h;M^rIc1rc`$kYn7P;GoWh5~7tD*1`yA+N#<o<TC+y7n*KA>ETA2a;<t%
zf>Nk#Zd6&9T@pC&6U&wIc#&{cQIJKOG@AJ+@zFJM_r6Dsb!uMlqqWMhn{D~BNNc-+
zK0-+fgp=dVroIWH*6RAWsyumQ&YNOlK_d+<9cqR}@*>D|J&rZFK@p8jRUftEmw}%4
zyQ4RX#1QRJvUe1{3bJ2n!OeYS!7WI$=C~FCk(OWCz%f;1sTR<eC@c@m1?Lxa@+Fb@
z`QB#w<0PbV(RfFSpa=|XU138y(x`~r!hAGd9bK4zHvcI`89d0kibXv#=(yOwHlYeK
zdVOX{N8-FHEDfFf@77&8MEKZ!Sif5X9sAj|f4YwZMtu8{T=ps;b0@#0$PNm+mU`e%
zT@@K}jtF#U&?up^Ej0;ZFE!D<x`qUvKNPrmWGbY(R2jYh#Y3H?tA!}+f2=!<wc*^@
zO~w=lA|kwEzjq{53-!r=8`Npkh3vG()I;A@Q8K|u==FIml(wATxa?y9jf;pkgPnwK
z`Pwnw_^pYaceZxfN@5^;*H3`-kc9g9S=vRHDd_T>QCX(pU7Y`IlGHg(LIvS#1~!Qr
z$fo{*%rg-a7_b|jF%ncqO*SdMx0}^b(R<3wBeE&n60&_t#i@=&)FnNP&Z?oq0yAD8
zh0K6v^kg)#orErW_U){HR6?UG1x&p4X5iJ==bv$cgi4;bPgu3eqJ3FLPndM~!bxUY
zpC3VLh+(YWCgV2&2{T#9=U&_k=iX91<NQfPj%?>E%H0Ifn#KMHcIWrP#mDF0xh*Rr
zhOO5Zl><0Xsq0coIcYC6<=tY2UPWa0z@kfAm<oB&5N*TT%^*!t#ycTh9*xrpj%2;=
z!n1N~Ek+&8fP0vuCdf(_^#z8tu@=l?p<z5piFKyn)ese+w=RVohZ{AcpHaa(UI}p;
zqABppdiYfr641ea{!g|}F~WD-A1q7vOn}PgjQ;x-QFJTvgZ39sHkebYU${DJ40?;a
zkIbtCktTzQxh*Xx?6(n`<+nEmIeVVm@-|-NP}7wzYQP2JHzxJg5x`O2C+|)va3R}p
zOFCmJZn*W$p~#K`5Lk7RTQHFoeJMiStDf9IMU85;PGBG%+gtk7iypo9mAhe`%neuk
z3WzahjevBaWi_jK2QOe*qBncQ4Zm+x)vaAM1a!Z@RXKAR?~#|T+jE5*9<+7jhh-Q5
z@5Xf!t@H%`s&7wDj^*yUdH(aAZ~9;&@SW;GZ5w_?CnIF92sgO>JkWoLRUcxbY};zy
z)?x>|8GKu(xgc3*rO(Ai52izoao2tr!JxT5*}jeoPR-7qrDW^Ef1|bs1HJ!Zble7T
zu7C>$>-U(@Z0W#PT6(M1kR{Carf-USE*FGy(vkU3=zs;9Eu!pQ!?ybD@`p;ephwFf
zZMa?=j=41xdNQ}LvZ0SU8J%3vS8`2YSyvnE`^aZd8x@R;JzrX6=LWiU-g{d`T9B(v
zlb~Hd14G_?gPq5B^XYQv!ha+!m_E1hq``*{QoEimZq#xEZ(N~(c&R3oKJ?pe5MzMr
z*L(c`n)86rzyvLWi6)F(cFLYFXN02nBVPz3JP@IOmnHNE1xRyQY#w&ZpyxPnV>O8v
z<VkTMSzZ*-5cztsXMzRvI5g@y-T2^mRefgi9tw1=|E=`C#RhGgRY{_j{16aV{5ZWt
z1BU#SkIhK21Lz0PsT>x7>vKL;)NUG}AGgN;p@joPSKm9F^AZFm-aihqLK?7+jz03J
z<%Fw49CLCxLNJ+j*)F7u3^b3t>~`LA!9K1bna`WT5UIQII3a@!S<gQ2JCw~0=QH~%
z9K1#0oX|m5rb}eVP_GXed(H#lb+n6gn_|GfTA2U9f(%dJrbQ^f=Y?(hjl`rE5)kQ|
z9l4`Qh9O>b!KH%_`VS1Sn!YChvXm9qCG6^|o_rC(AOIhYLd6!JOG2uSCT1i~240f%
z$14_sP`EY3E1D$*zf1~hWR=LUbj($$HA4vSXc?}Txzgb1KD#Bnmkbg?nxo$sM4++%
zHZxn93^0Dolse|KdrrpgcPGL`VL)$?bKiGaxHI*`L*~t{?jjA})*f+ql*}?-JTC`R
z6Y1<|lML2u(pS=7OF&<_gBA_90^C=4{PN^U4Y;jKZFMN007t41IZ2WfLC*A#vv7|F
z{O8#{Y#l8Ln;fJdqPY@SEk(yPo~OXmtAJT}?)o;tU)0-L83IF_e{8a8!eNH32Fej>
zSUl$w<+5J|{A~p|o9Z>e{=v=gbWIshzT`geS%wI45x>r(Ct7f8+Lix-pe#7sG-lTh
z5Fwjzw<14G8?LJF|1W!47WTWpExYWk3ht}MiE-C-V6$>)d#zp$^m@D8d%vnee)UG(
z<=eV&egD#9=Qw$QW|fi`v#Ovr7ANMHst07r6enwA1yGC0p*;Pr3U933{$_sEhc3mF
z30D0IP(IB!w9j7^Cgqz#4R$%DnvV2vz*P~1<9e?+H4&lB_91GYGX&c!c7Eeu6d~`#
z#bf&iRp4)>mO|XN5lDK>7>;ZzLZOvb>gC<}(w5@;Bw-DMG^%4XTzpFK>fOzM#->Wp
zOON<Uy#Ve^CN!1ND}k}!F|Uqn1@OFNQ>fhnP_mEx{lRaFyCBxup42A?o-s$mI3<js
zPD#S%!X-s`OYArFUzdS?R#E-W&bvJL{=&-SqyqGR^-W}Dl?E}YL*5|~#!$0dQu5VQ
z0TR<#dFn(YL0zUy_55RFh-I<EmqX;?5w*{E4nJ|o6L4}ePBjL#%9TF$3^|y*^*ouO
zR~S}9&3U|IjKSy+!>ZORS>R0C>B|lmfTmuDROD$4w)Y$bYM;x%G(Y#n;9y=LxBBVZ
z7#TyqO}8ieBWZ9ts<3|bKQ7p~+h}!+-Wco@8d~LUNx{wd1^sW;?C?#)MuVXWK&tfX
zRpccJ7c>_LMWrlIX?yO(g)6&xP?MZzawWi8i=79XEh7X!78G_-+KmtXz(>jv2i4xf
zNTzr?SUHv3KvjT&^R@5RZMmY5QT|b3<s=P!wGFa4Plv%{J+{=6Dq-M_tax(o0~NG{
z+A$~}HG*~jcT;{Ff^h#H%jt3E9gOFv(WJmDL-+x_2OrxAKz2zgA8WuC*4P{*khEa{
zronVi>KpmsfaojbhQv)Q=Y{><lEVg|Qr5}TeTEnA4LpDQ;qWGw>pReF@=_lrk$mqz
z0uRuyrH(1z-^Aj}MK5>k=z;k4t(x|2E^u(}@A1aAFp@`7eV2<K44TN+<!^C<r1agK
zs>9n@WOZF+QiU$8Rp~d~5ak3Vx&)s?#XH!?zWOv%DP1sksQ4gO!VXVuSz;F7P{B88
zM|s8=9iYiP>&5J`2g;oYa&uYKz}XP;XZ@cx@N%#ztQ=*7(~h4DMvG{`rS(OShPyW0
zDpU#-xyA~t*q(&sURqcv+77QA&;lXd(!_>V7FgoYjxP|S2elwW(@&0C5IAy><(dNv
zobW8RP7Y!Kkh40Y)TId#p=f8AnFaD2?4sNz7~yx^)ih-%O;8Ev-JTz31}+o+_n-Zl
z;ogePTIVnY_OmLy{yonOh13x_H3F=_6e+`P=}m$73r=kNrCDGj-`AF>iw(;DQmYm1
zXu$OuxytElETC}WaLvPa?4advFp%;{185t1o~*C4!0&rD9r#gBSkE3I?jdV{;G%KO
z*i%+m*=Mwzca94VYKsYnd?!QvZP6}o4>lO>sBjpG;s#>vB6a&!GI;S!)I4?C1OEd6
z0RR6Kmv=l>{~yQgnLV>N*Sy!Y*LmM-lPD#tXem-g8BtUyr70O@B-Ixw6^e}eF(P}0
zgzU)PyMFig=lML&<NY{~_c`bFe7=k-`5(2F@j>^gq@!n)G~v^}`k!_FoUpt#v3G_^
z0Ju3NHM9E(pc?rtHTW$TRIoNE<)0CROnMO!o@4@Wd&QT3iRFfSO3kwOhlHTgi9bZs
zjR5UiE<8i~d4Q|gm1!n$FObi3SASF>0L}e9H_LInz-^TvyGKeCDs04;9JcY`vQK7X
zc`qNBttCF8nGypl@wtYHA9x69VrWs3;)m}(?&%3F67T@W$aAh551La2=6j3<;I~1b
zSjt%`cx<+Avs{datX{EJe1IU-%=d8}50!>8nVG)AQap$TB=Cuq3xWG9au+#K1~fT+
znHZb#@Td|jm8ACqG2fdxs8SZrijVppnZv`W3%5>RN)v(WHKe564LOk9!(eM5O@PW5
zvTQ8`F$kM8RbJCqfPeEXwf1KSpx3qZC22q$8qK0S-`r4y5-x`0rd0%p8%qB0CPNZV
z2psalT9shi9VL7rYC^)ntUB>hDJY3x(o_*u2E7{!@3C@CkX1}ucFLEAsfZUpIy_Y%
zkoZzq!IKCQ{QJ|&b7dglFexiIMHO;3gYTUY*Mg$a3}2=<vJiK*`z5hl4XpC>{tH{x
z0yf+A+YWE#;9NItkw~>V2;KG_lAY8BkD~BIv3K&&uP$GBDpLcpKA&zkUD1I*JNp%F
za}?m!V5Z8r0v=idc*Xw{(t}f8|1#yDDuTrQuzR!~c<?fLVKTU1AIAM(>0Sy~0tqD<
z6YWcQ_-ez(D*wa)zUDa!W?AAO@`y0~i4%Be%fD}TV$2Zibo4UTH*nBKesKC0b-wEJ
z4R=dzV-TU>uXWv429xE4X@>|6xN4r{k`QSEGdd$OtgFiKP`YE&*hL+#HR@cx{sn_K
zq_0O5bW|YV1$%AEh$?6VvIb^d0HA-mpP|iK1%iJw+nUI#!0Fe63_s@qj>)7%(W$FI
z6KNvwvmy>Sct)qr9wos~uJJDNh%&5Pj=C25PXRcsmoH=&l0f;bXv@bl%HVm((W<gk
z4%h@^FK;iCAp3V62U8^uH2sZ8&KG3hM#gqwzX%yV55CTEUQ&Xsvh#)JN>Y%u?`Xnz
z92u65Jjt7(QGyH1$x@dVMS=NfsGFM%8CI?6qq~<BfaP|#<JDdv@Eva_JY^!oHA=ur
zW{W(S1uE=Z6Xpk(BRK}TKS=P4D7m=tR1RD&_V`YgbA!&&&J^A>5}dZQ<UMpu7QDY*
zdMlXD4iTX8nENmZMsk|xN+e{UVCr(iY6=s~W?4JT(UU;tU+esXVJXNU=F#wb(}B#L
zF(J7;03W}$j7=v=koo?P;l=JQ)`R%NyX*nPs$-l!(TD@3;JQss!Uoo3VY+g67z46&
z%=f@r5f}`4GVU0#f*E7&U9D0W?0;ldQkN$T`CDfA3+EQGO6Yx=>tO;%FBrd`{v-&<
zs@?GE=Q-?6JI($23}a}0qq#gV!4J8-`rQ=<Ggyhj<+76_MqoL(Ece8i54c8F8lH(w
zW3k@hl?RoKAiXgCi&`lUd_QYnEGRvV&5B)UQVcYN<fVZQK@V;qvcB;Y=AXg(O)pLu
zBLnFC>8%p%zzMvsmB|tHvlyr8fu(P}27vo&&t#*#2a^07yxln$FrG_#kB7bW;a=>E
zR3j@kh`2uYQZ#fCQxX?*y#G}Xde@F6CA?+<(m{rNcfn;$x`gg>gS;L%`SSROkeH#t
z^{C0dp%rZSrvrW59bJ&D+8?t=fC+ZXYJ~2zu3>9zzX(;!Ixs0t{E#fp2pz4Xue*M2
zU=_lTcaI;}0Wo$_@5e_NU~Se6U&gtOA#+^g(N1l+AL)Ab6NMg_&(;+lbKAwbUKl66
zvDSw4;L|-Uj`T3K#n`J_`wu%9Skq`$qXnEM2OB0h>ET_$NQ0XaEjW}!k1CjI0iz06
zFXJK|xIX_WUL8RPhH+DCj<rPiY-<n@vQ7tWe{7aFf764RUw}oY9TA?`rA6gP(Zfmo
z2W_lgj9_iq-~Qo;CVW`P9Xx%G9!Sx4!gkwCFd3W4Oz)!!GUtzeYU`$l^V7MOUb!s5
zDKz+G_%8t@4dd^6onU}4`NK^5!EC^O_v$HsDlg<B4;O86Q1>uyac%7Q9*A4Xr2Nz&
zKzs`^IsXSEG{tdVuAuTKfOV_bwU3(fABdFQuS^iMuf{~tksJITC)eVm@W4CFQt-Ny
z8N|NCo5@A-z<3?yRXza^_RHVnKhd*7?)z?a(*|B(H$2OAu}K4HCn`-NkFdd=qdrF>
zmH9#M_)XDUWDU?W6{JmQV+X1HQ}_E{3BZf*H5wmk)nTfy<6pHu2V|BNj~z1+g8IpW
zO?s~Cu=;tG!e_t*QFBT6{;djwY*Q(B`d>AuPOmX@P2z@(ujGGeEmUs2W|qh-QUezf
zrQ}LB52U>%I?vRL!OG@hqxE%aP7fI*y=><NkC33L!&4IQ>{g!V{7E%f-nHsv<mZRf
z%1p=kL@6+R`luQ6RD;5hcw)W30377}Cb-)u4d<dCe=@(U23OsK$-9$+Fj;XbCXY`R
zHu7x^eLt$fZLu-esH?)zmpz?)_`DpHMxPLf<Wh&sJqLw1)I}i5^?l%*9(gb{SW|kH
zpbnKL%hwZkMd2<jpLD!~B5(<j#T_j)K-MhdoWPVgU@PB)=DU<2<lRDa3O^pw`!2Rc
zEJ#A(g~iXIp31PMLHhmoIUXAI^@?a%rNNBP(f``43gqcA>So#y;1})px?}P(P{g=<
zx&D$G@R`~EjpNgVGx2q$mbS96E?m*zHLDII%dwqqyPB}yFBO{&k%M>@hXrRUFC^+8
z>HcHUf>7MX$+!Q>L&XiwRRYxm+6v=;`RZsx_fCW%UAF=_DC+t8Sr8yG`ayzYv<@te
zxVK%|RfNh&ZPOpw1n3?gP-vXjh07`P*V=?|fQk&qHAe|x{6#pE=aN2XDA{~o7FPz<
z5fPWlIRaR=FNvIFGlWxdCXFsED$p|3#xwJk09;qja_;09!E|!#1<O_y7=82P=F}+y
zxUX3R9I`Tji4R9iv2&{6Sw3Ix*?<SDcdL`neqfLy^*lQAyDB*DIG?MV*MOrvQBhyA
z0o*0DR-#$d;8&X6MY}OID7M<6UpPR5#d!YYC>k}8{dL41T~~pMGMuE?C<&rIw3XMC
zszOA$0pF8;CD`T6(BpC@!zCiqub&30@IpKGZSEcgkT{q;%KwfG#=hTzbFQfXr)Bws
zsfsN8*J3jxHAaT)Fz0K^@yd`98g%!MgA`~mROdEqks&?v=1I|D9Lx#^9TZa(h1|*%
zJ&_eMBy;b-9j-<7m|O;bV>Urx@eO=T>?A|2?0573??1aalHty29^i9I4_tUghCc^5
zE1#T{2Tz9^-J|hrpu@lT<MKf=U^$J+?c=h56aQCxK8zkTd}kTvw@6@~q-Fp5lnj_C
z-sNzh-NtGXul<xxApu*A<2`}jQs9ry#M2NKG5MbRkIvyq(0wzyPGCX;68fJ1Tl+AA
zMJaB)O{xaCk*cNhOhgRsgde8Uly1O8-{3fh4*}eHK>EGs;$B!dkWlpgVj<<%*@WG-
zMhv(*5BU7IA_(riW``s=Iw<NAHP@{dsP8egAhGEMKd_H;8gZoeQO?JR-3|~ofpjuE
zy=5dX@O4>C6h8Y!Ic|4W{;s((u;>QPJ-EXSah$)8jt>k`#J?S<C50Nn>nGf4^06Gy
z85l+2Y#E}&S<jpqd2a|eIOxW@53vEqG3D&fRlg`qUtU_>nl}L9_jMcwA<V$u=X6Ui
zqn{Gn@a=-6mH~|XV0(Mx4+98!Kw#zFUdpqROo=xl^ufLSQIKa29r!C9DL3otq}bYA
zGYD_dgK#6S>)1OQxSJxjS#z|RvVQU}Q;Vz~_}YJZzc#UpZ5*?UJ@c@Na;bFTy-9>F
zTzDp5vgh{}md(N=?@9lTa;tu8DSki)jEoN?aUR^jz)&uuOf(If`;@DdK%(+1D0Q-5
zd<_$?obo$#wH&k3FSO&%)rRVpP>hANf{BS05$;p!v5!BeKm8EY2E9Nd_R)_^n8nA&
z=y>}MOmI^DRNXBtC~4R`eTV7|D=SWat@C>@$!q)k3wMYh`RBav^vMP6JZp7O3EcoT
zqvif7GKdJhKACkPD)ZQyMqQPt(lGYq^R_qpk|rdN7u{Q4o5iM9vx+#{MllnUg<_*X
zO*sFg#;H<j7HiLpb;3nVVE0oN!?#xnaOJV>`^x7tSjvsVi!6FmSZ|fbCgCapj_Adh
zDf`c0T;GPRTIgr6fTo@=P0R!^SMzfWxIKfN(iAf1o}9yMzPt_k@&peDXm}g+CucC^
zi1|#eE?{(&4aOO2Zaw@xmjSnDF>y?@$0%+I6Ibh7&kojrLtecrwmx&1<BhU&^SUco
z?jfm=j#uhX%Q0^zc4r>j=hwF*L$ii;A9;1m?57(1F8Q{qacKclHg+D<n_S1}>_Ws>
z1gYo03*x%Si<mjOMV+{bRZMXQ4>(iv#g##-fUtzk&UD7CEAL=z+%sqCGgZLdVDiBn
zX&K95xW_#H;4gN-<HeDHd1VlHf6mVzw1VXaZ4~Du&;SF&h_{iMGO*B;X^J+lVlqFH
zPJjGM3&ZE?v6u`TjFJ{xz4onRd*+kRyWOS-)3mOCmuYb@%p2}rx4MBj2gG&g>M?>x
z?ZtLypa1usjJ2yxTiBwUXulj6Ggvp|^al1R!a=_dFX-CA6g7Qj?0H$isP{vI#z943
z5}&Ly=J|&ahjwxdE!bh&B1xCGLjipIhFW=QXkdS&7F$g|2UK0E$}V$NfZ0IoE{`M~
z<ciSQb1QR$=!NUW>of8&c;mo&SSmfF-kg*VOyvQEKtY?5+w$;8rk50eF~Zq~)w~@7
z9|Y|x>`~K{hrgeOa31W;aEs1cscDuUXpyg9#cw&#eXKXJM)eB+b8(}hoq|vS8M<<L
zaxkOID~wlThp90}Tm5li7^*d?I)7abO!ag}$#EPolX^JQpPHWr_3znuedOS5id2j}
z4>yFl8d@!;Qn^~q>_Fo!2l6o+O>^Nqusyx-z)?;L8m2{9K2qnXsjR*F&ddiIZ{F?P
zNR);L{_dBIi{-$sI{eL{&-`GxZ=rcuUKZ}YX3jgqBM(>R{wzJeD+n}>dL|Vea!^^?
zqgxm+585Gdp`UIGL&eLOl#Embc-k-L=|@(8VEpiJ{Cg2d_Lxf9y{-g-<F6R<6&1lM
zXRA$^Rvh|u=uS>XDuaLSUL!LbB@mfr3eUPC30qZOPck2=LWtCYT;fL@>~A-xUE-Do
z=Eo(saqrb3VzMgO-CG45x;(0MLS*3EkGaXwvv^>!4Bt`@Q3K@RM!Pa63jvqXR+}#o
z;6<Be|KO+wEG#rQwp@~ju@8wBuP##kvZVa#H&+5QmNsk9GAM$nz$plHBf@3|y-DM`
zCV<1@ebq!IFyOE0dLpF-)+2|EZhq5(L%5HUTC&P8mC|FY@rinUdTr`my$%fdgfAOW
z{{#6Sm)E;FwShxEc;0tK52Sz1&-5^;fsfY9g(7in5ZpXA``y?OTBYr(PLtF@=Cyal
zLXQ?$efl%;Ezua<&ZKmeT5CW~!e|-jXhG^RUN`3%jOrmto>44#zy#Lw!*z&I(k7@G
zz)ymnOE2HenB$?gr_8Cap8z|1*6sgL`(x^Uudys=Jh&y4o=hj=K{l@A?&@DMNMv(o
zFB((5C-zIzMv^M%HD%3w{cH+DDK_ige>C9f<0Us-uoBpAE#5tenL)v|<#;9<4Y*EM
zak3jP2V<8Kzgs*ugS*0cKX_}@;Ir;}Y~73`yzzLSaiP!*oVpwNy-2Fibhhhl?JpsC
zSiH!#{Mrmw7sAvJ#3+M7<JUyDaBfH;ir&!)FaygP7ptIjCD^gocPgj)zW0Bu>Qf?S
zV7tlZ^x~NU2!~D`-xXQJo+i((@#dLAVtAL|@Etj58+OT*h$y9mi`+Z5Pt_FIw^wdb
zLS>--``@ECmlh}{NfOR_FUT-RJWD(1Cj}jM2%TG_I}{0~Z&AQU1_y~A+|5NXXeu0k
zuDD5uexA}^zZFFSRs7m;32`sH$`MbyYQcnBm0uRnuK_TX>FhY<3&6LMs~`Ozv7qBx
z*Tu7a0eE-<zx8?Zg7SXp^brm=#QdMDu~9n)4j=3&oK2j-p`+Qk?++Uixf#|w+hqdg
zX;`?A6)Vt@>S@;Zv!jESl%kJg#xN_ybY{k!0p!CT1dJbLN5UivM>`s0sAi0{5RCYT
zosqgLtw&@>2cm`b)D(?iEIu`_z<C|>8w}*A9cM!YpR3Z6oDG3Co;AmvZ2{ZbZ^_<%
ziw*79=diDSYyjtyOfM(XjAH7I_En{dY-p>Q@cd7YKHNN1=r^F(jLGhQH&@ukipcgp
zQciOEz<uiw;<G8Cw7=50e;|$(xgIGeo(R>0*$k=<2>qbg9e((n?-(oUP<?E3y;B!z
z#YbK+{~e<QzUz$|uwzAoTIsun+PW~5{aZce#SDcl)KJfndVif_`?^M&4*Xpe$(U<e
zq}ap~yj9{^(V0dLdro#8_#vybt4+H~adj~?3!G*}ZAp$rDG}Q6F=x0;b!VOOl_pdO
zonu4p+^ID$*R{YoUPq|AVT%H*;kQonv!j<PqIbE2wZKeP+EMHBF6H&T%9Z;Q?C8cd
z*NcstM6f%r^hlkR29<ETU+^5=gCwWque9ADLULk^hm`{@ilp;7%)W;crG1YcSKuLn
z(3XZyP9hzmoqU%%c$^D~)L&5_d8r9qdB-!+5Iu^ET~ozf<VKHe7J_6<G{M5)wsx^5
zBU-r(Pj1=qpbxhzv;+nSV4;7GHS!@78q_cE-vC|&hx6^%u2b_VZ5Zp?Wkz8E>kzY_
z4^d)uB6-xP=L>Oe4iT)V)1v6dz7T$tu58U-Gl&P8FQ&rh1=vx2M#jacG6BS+ztbC$
zgomJ~5;x*%_n`5?ha5hVLg=W~p4x9m@UWhBc4Iw(6B(QLKQ_-4Ml;OTwj?P$@G+PS
zu9CP>r^tyz2TetgW`ae51vMw5r$U;{ZFx{_`(|_jlNg%g)GB?Lq5-Ex2k$JN;YHzJ
z-2{%!h$E#A$9SjH8nDr0T7N!;4=q`pn%Z5FMBxV4C%dgQAWQKQNobfKL0B2thg%xC
z6Pd))slD&%<o8u25JYuN(IVe;WzhYurOUUEYXEPe5r6(?A@t^z;u#KqSwx~-Y_Chz
zfN2;1tstwtsGsK?MWa{_)x^$he&5!BZOm<OWl01zNEA0laVj8xNyV=QBs@G?BYz-%
z7DM$Be9w~n6%orUeY4$DJVY;LG2|skp!8cF%xpiEP{mqUlrlR3+(r+_@S01Zohw~t
z$E}soBnySo@`Sqo$oBuf+DM}y!A+*IA{C^2k+hG`NE03>Pgak($RPITk4RyA)sPS8
zFV~y@G=Z6~#LJBO+`M+DT~g1fqp8{IV@AV7klEL>A`~ZwP(8`X<%I^)K2`KHX;=%M
ztzA3P{8}DWE)6W2xZu&DW2~NRG&(>!7&y&AQ9!M~jcAwa@aU<lnsBFqE)3%N!YW!6
z5n0Qlh(?Hjw*LilR^0$eK(@cv16Q|``rK_wXyleJjU^D!!<N-%)^&XlnX5VdvJ8hV
zw#_e-ObCc$p^`)8ydmtImi=0DPZ=fEtJ1~qAt2P6bbx8f2wr?>kojPwf^b_7%{R00
zh{4l_U;MZU?5=p{{jE|#7hctdJ>|ipzttzMGEsX?Ew<uMC#s6R8;zZR@K_y*pN_r7
zdLN+PORvKSRM7=)ljHl|sG_Q;o#rg^Bp})w`ITs>B1FFubuCmGt>)3Pu)ik3g7)B7
zr%4r55k!&!4kaX3s~wZZL58NBm4APHR1mF~$6<(&M~4gEI^K67!;>uCaqNpS$~!z1
zrZFso6qv{Fao#4w?VZAb@je{7>Mw+&x0OOq3gqH*Q^}xYqOdmFp@c|lt@%r-qR44)
znYCmhbq;IcJ^LI*q{>_yw6Q9PHm<0g69^?k%^{Yry{8q>-pfb7(G~NeW1$A2t>$E~
zEbMsW%q@?0ij@r>jdCFMmo`Uw=*VE#^<(zjds$>SA=B{U5Hs3R;+iP>NP@#VrN+{B
zGAO>FC_%7>7Bvsym%liZU?tRSqGCo0J!tL^sBqY#d@I{p>{$ok_MsKPaFR&SROHCy
z&=N&7<Hni0@c_9``>ZVE#Zah4c)gy;ABwEo#g!ptfHJ{5HD^RcP@9PdELjgzuDHPB
zk7#P&Opn>ls24&?Pv;)|`uUymEjIVv*FqCejJ3(KeJ+3!X1n)JB{xupL^c1K{5FQ;
zI$W%-nS97Km$^*M3sLg#I35oYH-`Ha;We?%Jc#K^Wa{J6&y>sUA)i#8jUY2ODmG1y
z8#TW4nyPE~OraI3G3ZS)gz}Wyi+Z*kXuoT&Wt9MhV$!~s{X@S2#0@SI=F`}az?D%a
zX8Kx+!uu0~-xLhsvO%3|h%pPg5`uTAe%(Te8}J$B3)TnzdiI!;@=VAwNL#Ttq>Hlr
zr?)z+K@ak_vybgKFd#w46V5n;K1!cax<ntfZysS6Y4k6pL)%t^;r#kTlrZwGAod$n
z?(7k3-S(hG`~fl9de=uOq%;1Xevjz@aWF26)_?}_slT-In4X}dUB2sJy-x?Uws#-e
z-1$q9EmPVy4ERIkM#*`OVr@9Fv#%n5Yll*AU~E&!HAmSFc%8zpqz#Iy(o<i{w<%XV
zn530Q7bw@d@;FRWwctvk`Q3r0Es7SMcaCr466IMZNBuQ^Eod_{ZDNzzq9mJW@pxCQ
zPzXX-AC){L0)O!$t77pcWe7`onBA~Od6b2l@8>2$Ul9Xq>zz%?Ig!0%M}BWmJ_YFz
z1`{;FYksiwSmGun;ESmiUTmB4h2wBkp_nG9Zf?g<_iR$e=%OsV&hJtT)vt=UWfPzj
z9?+WDZBc&x?O@LM^^fvpzxvg7T>^9-P^xNJ*`kE4Zd$Jx(xP<t<v*g0czEqnXqMN!
zO_6P45B`}(hpe&Y3DXmJ@SAptPwm;E<ZTtS1PC)AV`J|24_g|LeIUJWp7$?B6=}8g
zykkU!p;H$}^faJ9U#jlGwSN@PpAN@Po?=FK={_?%MXJL=;hU}74{6ZVIHRALMyyCb
z@2#3!iy8!`2_z?9p+(V(vY4wOJF+(%891z<2AV{EymvGmdiBbq;{GWPbX?YtrTUgC
z*xs2;+0CIx1|MZYua<G4su|fnqh%E+6!WB2o@YSJtoX03vOH*M&zp)!YG0_S5iVhL
zVnT)UXNC^O@S;)2pE~~2%5WfruXk#Q8P)&kUC?9XM?V7kQ>4R`q2r3Jq#xBwJd7vv
z7+(t@PvOR{0YPOrdNa7l=R7-Nddbmm;Uk2kdwR6ht8s8M2UDE7#DO;GU88Ot+KWa_
zGEK*?;ecPpc3B~h3*Cu%+iZMB6ouDV-oqWlL5z^-0GXW!by?FIetap8Zca+Tb$uK>
zf0lT;!i^Wv7mKR<F-xI>?N?HR)bl@sd?(5Ed}#hb>iy@A(rBE|1#+Blz&hJpaOJQ7
z;))v3a{MfVEYA=4G(W~cx_n*C7OfBpOsrq>)09K?E~PaUt2pQmu$AL#6GjDlPuc6#
z$fL-^I~T5ASB4+-D)xm)1m(UH6K6iBi2jTCN_=Rf0v`f+{Z4d=A&G*b_wsT$6f#J^
ze_2%(G+qwY|6-Fw;&}&4se43TA!Y7s&T4RJK1MX^gB03e*Nqn_RYmE47~as=sl$_{
zHyzllG@5)tV`Unrj(lrr^<SCbA-LK6PPvXOVwNj0T2{g%?*dciEFeJdnr)*xm7DLT
z?ZS*{3Fvc5@W%afnlR&|U;Sl59;LTUh0@g#P*7G5n;#-V@4mCy?q-UJPUXa>tN=|U
zuHJpB&O{p=1vRW&)07aS6`k#W>zc?a)bqFmH3#PWYSZsd<Iol3y>tY7A{wJ47u|ZJ
z2W-1S(^GOP=(ptlv4RUkG;k@zXWu;oxUw59;!Ne5RrOiP9y=mxa{G9!A;JipKDOhU
ziE3zVZ11D+2~Fghz<Bj_pb22{Ev<)F)sTS{nxSZGBEikY@sFwi2^rVdYs1x1495-T
z??wdlvu(FnkB0>1cSPtTDC$V0lTO^97LSS>v&2gVNzm7KFh!_T9r^cloj5J3hS(Ax
zSx?_1L%OznG_9{X8W2fZoFBxYQGq!>>Aj}Vb$Vr_r9%y!A^X16yr6)>zo+c&x?&0g
zWcwMDWmWWcy~4A2S_Wx}7wAq<dmn>#Pup^*3W|2$5+W^1pvq#zkkn`j+jckn$FC}*
zKS$@@B%TyTH**7xaiyl9gfmEfy{&{K4T8cdso!Y;B{<kA&J+w1><g2f6;Xrjv-+4t
zR`fpr0096043~E})qfPn?M>#jW#5ZyTzh|y6>TGwQK}yqMKT&fL{_D&$jGcHgf#K}
zP-H~e5we9s_6WcJJ%7B<dCv2G&ii$4P1=5YZe#)>XR9kn*)qt4_qObp6e>i+I)*Ke
z8G|?9i6Xf{DMS!Cl%I6!55A<RI9Phw7$l!P6*(a&iJ0p4yraI=j@LygHZ@Qi1C@}R
zHK(&U3O}q9S5Ny5b9X8;KX%Iq64Y#q4Nr<90@3oCp~x?6u8Lfm#$*J_dqO>u<b;s_
zbI}lezGdv&s(dw59Dtbc`=lBvesn-PZAR<dI`$&#Z=2H|fQzA=iSMm=QI6Lx)LLy}
zLfgHA0g4!0xXONO|0^yOSX`kmC$f!+i@m5QFfjz1WD}pnd=BJ#*@^uv{SMabN&9&7
zv;lnPJ!@%vfCX*;DZD6bwu6;~)_r{ztq);aSs>}afJ}n!Yz8y!V6is3QjcEiLG!kr
zAj=mTw5q`$A{Dre(QftQ(Q~@+;(I}?wb?GNlq`E#t@tm-=@D8>t*8sUB&NFQ^bK5Y
zes_OP!xm<dc5my!B^_vQzMZv`u#EStzq-TUvxyz_(m(L6MjJe{4(VMLUcfah`cUW0
z1~$`VJ8+Ck8ypTW9PB&v6aUqe^6nz%1}1xLBKN6>7R1iFv(_IN!S&B~YNs7t$D#=T
zbzJ$R3Cu51zoC2&zSO}*$}3sJSW5MX0rHyQG-}{kX5N7N$4iCqs;*&zg}mPO2^v6U
z>MutvmW*c!T@T?IT*Ve59ScWy)WIUo^#kW<HKy6npY^e96&neBx@Xi!9ZnpBm!zgP
z?BuquQ|iAujo~O0X+jNte!TmRKeY!_>UK7c`=^s}E&=YGR0Ao}hm3fQL2QHOt-gci
z8U`}{ee>T{L1$9!sb0wlrY&GDRa~`(8B*Q-r0T2+Aw`rE4N2qJ(ukg_j_*2V%_L-P
zFiL@yyS8n29jCA(dGt#I$2KtHUYn{-PYR^s$seC_%wSKy9vy$>zKMMwv*U4CQ-R#Z
z^2&p6e_^j;nyIu)wlK1X-rgfoDqtJhKpt?N$F6^45l|y;WAOtE0j)wR@Tp0eUSQ83
zj2yuFak_g4JJR&*WWiZwU{4m;>IhiG-f(b!jXOyNOXeK`Z&Q^(m^`y5cXkPLhU*eL
zKGg7p-m+|{OA-78-&ZXAuV90E6N;)iG(b@9@F5B)LQ74CqB3C(Q*ikuaAKJjoX$PD
zQGSLDyTTIP)t&1YgZ57Qq8B~5SpDTKeyIQ>c;tp;`6l-4+V0nO7DfmS^%t|{P=E@b
z)7^Bh{$k_t@2`k;F~K_>JMv#2dC-_*{iHj-gE5|sSvb+c0urBEzO(ep!Q4@|AHTAx
zK(EbB-es8$+#H3L=nl(4zs1jyy))DxZuIwwyUiYu@mn#z+e89|fh&sfmbAd@U0EK!
z$_X@#J6;zpNuaWrP-E0f2deU`xA&aohEEI$Pjg0zFrt!SeKCvy#Hum|R{!w84bQaq
zhr)<p<$R|g%9;rb2l*ye3i!ZuZd9^gkqBOibc>`TEMOS;+j%66AIjtQ6>Lt+LThX!
zKj{h^h~y2-r$h_F&BSi=ir2Ex+q9B;tBV6RqMyb5tP+O&%tu+CX|lj2sH$FB!3pgg
zr{080h(VLmJ&U#bvhbv2BRNWl8_KRUx;i?EL&WY!a%sLS+zZ!{`<BfE{(N_nRqG@`
zDunTUV7Dy%)rekuX~73mX<4hS#!{fwI=R+HB0|fu!a4&lKj^*q*gzbThLQ(K0mFGj
zsARkw5I`pgTfc(G0up6mVBYZhjYA}`S=)UB!opB2$eugpLIS;3pIEZozdg5xT;@I@
z3UZ!HTJ|RL@JPmhehuW|*@9?kUG-i#?((~RUV{t{qSj$2(-lC0!%UD#S^_#~)rVUs
zN|1Y1{~aSJ!jO_=+T&}IaQ1Y8V-rCI3O}6;wbE1uhT;3aZwyPpjSr7M-Q%EuY-hH(
zbDauY7iO3=wU&VsSz5bK*D0_cX})C=PzCbtlQRx2vM}|Kuy3nH6&&<v&*)~VL2~-d
z^7m#Wh%w_R<O@-QO2<<*Tvi(J<CkOg&|5i}Jg3ifhgKbY(}YsRRkVQVGH=;iF$K6J
zE;UkMsSdGycjx=mbl~{e*oSi-WVn{J;%x4q4q0?$4JB(maLku@LA<93<(eD>Wqx%K
zo@+aBE!Y6~k0vV=Mk)cT@Zw+7Ff~veARhglj{)7G*GznvGMt*(ck_FSDoCqGbyxQT
zJj~;(v?^ByJDzy`R7VOJ9HojaZZ(3A0};YkdzE1c35Z3ODZ{~e!SeYWWANC$B2!$b
z3@^-veN%PFFi&v(_Ufn!3?JnSD<&#KP~#grNq-V}(BuvzwwnOaat64MDM1Z0f7Vuv
zGz?DqS^SkYh4fDUDlrX3=&(I?c_L37wk26w+zyxmDYK$MtxEy46Bde<TLmHCH*V^$
zsVRin2{3Q!%ftDTfxIz4xZ&qzk&+ETQ#h*fXOH`J5@@T?8-K832EKLj%D@*B*wZ;D
z(ey|b0^&oTdeCoUeAO}BnHNmp?j`yQV-?ackbdx8?yU(7rIzkn-!O(40rdvUkCG5!
z-%RTI@fD9KnY3NMW(-$^ssy;civ!M7oc^A;fCu|~@;qNLg6d0$te;ScL7ge(p24XN
zT=H+v_#ST~I4FDQ$9I1ra1ys;tQMm}(-&@h7MKDMVPEF?Da;R#`1z9O@6#YB&XKgP
zGXS$j#>uT)JTMvhBJ8IY9qLK>nog|8fXCC>sGpw;>?^C>?e*wUTeD7!T$>?8v-)qD
zjIu#|$l+@fwe%=j?_jt6hykom9rT`NX98kD{>IoWJvu@YbK}#FK6rLMSWhgW1*FfB
z=hH=xYOe%LsmSVspm~vF(DhwxM{<j;?>;@s;eR&5XRimk5&RS$uXXG$g;1cZNso4R
z1GtCo>4INjZbXd0BGxI0JAL~?hbr7Q`=&c|pkvR>L)EFDSW&HNuY@NZ>ahA@mnEVD
zkwv%p7K;Y4X!5bWZR~WYF6{lO^B1%sLTk?|x9ca2a4d!GZY?e1`}mTo>!TKo_qhvI
zT`t4_yyGWah^0loE7qm1l3L)Rc`YZbp#x_=U-nJ$JS`G$&L-4FY65T8RMmqIKkzf3
zHQiD@Xpz8Kagnq+4VbTT8|rD8z?V0hyWU68A~H2s+*2nF(8hf~WRhobp~382X`B{a
zGzltx_eC8Zo8Qwc<6FSlcsQ>y3(=t$VS2my=IXHZh30+j`9)l*x47OXg$~6%kKi@`
zs0OLk6=iJ&%edcA?#cZc^ys-hb8U>78rYPYdz@%q#ivgf2HswyM;ByHN1pt54|-4h
zcbz=8j(=#Sezk9i0i{{enc}vpkh0-L@mt@-=R7i<pU*HN??`=vl5q+Ijf5z+b8X`Z
z1LFMBV$6thfyzqr3I&dx^c=dXxr?)HGOiuH#)4MqD7U;gDezgj_kP|hD)jsILrz|5
zHspaSd%cQPpn2Hq{J9}&6qj1t^YA4*`rPNb-{q(Zv_AWL^*tXg`gU09l>LJ}sK4x6
z{NG>7u$S3><HIRBL^Frp(e!X4H17I>d!I7YFvUK}!s$`Qhs)WWn_S3YI!3FgND18H
zEPFh(8PUOR2S%jFgVtI^UE+n6ATwH8@jxpR3JQDF7Wt4D{aR)kc$20G_AFi9-eD}L
zPa!XSU4VcJ<lRJ$$ST4)nvgo4<80_Rk0a~)8-7%BK>5FtIx=J&^3DxA#(|iNntIM&
z7ew+^G#OVel7VL_G=$!O6O}(WoW$%Zj3i_yS`sN_;9$=krE%jzmb5$n-Srnm(>j{;
z+Dv3fJmhOW{FoaJv^%O>J>QGgb-i5HRuv%We3g<8H7~Lt-EzrgkU(qQ8$k_JWN3X&
zJ$pZp4^6fl9sY4p65Y@|luau~hG7~i4GSiIWYch@KD$5)?Pd-f4DusGNWh2Hkk<mJ
z?bG2^ULG05+0J*-eVhz;IQCtqixfhRCk+bA5@Zq6`8Xc$8;THlyV+FLR|M7gTzI!D
zK|<fCo!z1iDM3rN?)Um2F=R28q4!_49AZ|EDV#a14C^Ux^!lvCk;SBV=)@@nM4$iL
z@wcf8IBJk40{kS<;`8G*3p9$T(Uso0jD`XadTF2X<wzoNRmW-BEG0xXHCqh&$9rt7
zzWyh^Nukz?9M()86(oCpLuYqF6=?HXpD+<*kZOJVp5;arw5Bt)D!`%sj~h%g*KB3c
zw+ylOobD84=crI|%|Qd)sE(7?5{O9Fm7AhDO+iL%o@ED{G=c9<XmUpb37I9P+U_@1
zMQr=p>f7wJ!DXn__RNeNvi-L6)Y4ZK-BmhUE3~ZxbjQZH-mb_awD5LV$U_yy+b37A
zRp`O2+G7EqVFhHzud75YtBSNm1(KI98o(s`zHGK!G77z{JzAPiLFsqHkAEa$;Cb`)
zk-MsjXvQ~lqGwzMU1hYB3vdNkb|uAa#3~{yeT`~^PG$5avhskPtPzZk6{Ic{D59HA
z)poc16p^ak%y+@BMsUe>fJyC!BEp-Wc?Z?VqtIlXJbPzj(3nxsUlUM75=!0GY^_AJ
zkMHFTVzV*G9y-p&afyru&gZ_|ekYBb=gUhk@tS~m(r>Efcm?$JTvN`4d<k@pp_hhD
z-vpY)C7YgKkw>guN&DvZiK3}khl6*FO<>cob9+i%4pq(4Sl`OvM{f3y8R!&DAnRno
zcHO^zMJ4?*54^aM^1;0B(0@5qb>lm}c}Nx|JQq+6NoGYA$7ZBb%Z)*Bj?ko7C5<wl
zs*l>n(W2{nYR0!5jN!pOhQ!m-|NJVM5;=8s1Gl>|VIZ((1WGKE(NFJ4pbvz6=bYeQ
zc=pQWj_<KXaHLFNrgM8QYAYR%Sefj?cPxZdQUs0Q4(|K%{+0-mW>YEVo2|keM+NHV
z3IMtl&PZE`3ZZspe#RQl0ql`T?$j>|!1Xw94r>p7bi8IRqPKSf%MhWd;|;-pW-~!}
zVvH9ZSmKnqN;`|~(6WvvXBa|#f=RklJU8-AnwdDPIETsjb6hDz2LE_)@niIPP9$01
zmAY0vk6BQZM%ZWdK}sggXMKeY`JEE=Gh<r71Z|{03W?}Lf#;0xlS|Af_6_$`+@*P}
z(b#%&*hUY^pSq0B9$-MF{I|a6OV44EMUKCX6Ldkw<C#~|Ra!(?+w^L5{DlR^9c^Ij
z)dAC-!3Uq$sSq;$xG&0h277z=N!^r$4p4Mz?zTm2<NSQMoZsdY_O*5}BKeXwyfUWt
zR?FVN)oxB2U(TGss`dNu4~<$dka7I4mDVaQ##!FVkBwpOAL$;Gq_u#M*|^PbxP-qE
zNqKSq_b_(IdFO3tgeD}WopoX?T)^FuXd6ph2eI_iw6U?%8c??C(q7#E3%}8EJEljz
z4<lWvea~s50qPIrKeN$H<B}Fx7OJY<*z$~Q*$<=+5#>LX+AAmU7v?XYNQJgzp9FZ<
zn^e`I$z@XQ;KV4-d|-Hgsnloez=78VkDsc+Gi-3(J8T%=Q}H;M^0gj|;9V@UlvD!_
zeJG9H7{FsSHTs6va4aXq@8si0s<64ZNL7;3hl@;5U$D}t#Ks$KN~6V9At>-yC$YW<
zXE~C0oaNzTjG94htv{avJSE+}zL&aiaL;KLYq^0b<t7D&lPT~#qq))TZU^oVo+q2U
zkcMkoO|ZGWR)K7?BQGawJN|Mks&hf47{50~zj47#1^Sxov-;nB!8L+<lB~5~;kTo?
zjxZK0!!nb1Z}dVd{x*SehbE~S4|i|llIm6hr_(>TC!T%Ae_9PD<vQ2ln+{G3^t4Jq
z#m#d&YM=%8y2EUfK30$ajp;Fn)>MSsg1$lb0$cEc{R{FG_a>a>{EyE!eaNsf-u~wN
z#TK08DP!Wj_8FJ2zu(<itN;ne!yA+8T5u-KKHBsnUvW)-iSc89<e@s)?bL~LpK(TE
zE%#E@4%~QUtaV&R9#mr}nXepL@vi}o8m1Jx@DY#cXJ?}1K$bvrOX*=7ZuwKx$#P#0
zPE<(hFX<xzXBmyWE%#R(`|lW&c=$Km?H>J3kqQYOKQR=gY=6Z=tlQ7GO!ed6T|HTK
zZxf+rK0L#fqXYLXpEec@8N@H>-LQvWve1(mY-48LiA!^Gt_#Z!;~HXfMR}I8z__cH
z{JO9U54`w9d*=BFuH|IoeDJLd*j~MVK})*_U&&NHon}9V+dVh9A}%Wfx;^nK-7CE~
z8)<4IPksUyZ@NFm{y-WEpKb=|PWIuK*{<=<%1_};_Z>2+*rb6%xOC+O`v9(9A#l3h
zc^aSE^x2(?kb>bi^W7xhAzWDga>$;hSzN_thwl}&6bS5oaFmW4#!VHDJU8&0!$a1K
zSzN*;;hDfw&G*!!_{@)?h}UHcc$G9;;Shr)1j{irEk7E=YZE@3)><y&T4;(|IbH&0
zqZNM+c}(E4(W9dT;bnY8ra;|BSOU;}5p}x%rtmAYKWAh4R&kdy*>g6}#9@c2_TZJo
zX`ICGrx0Maj$dCGTs6eRL9})|Vq$w1x50ueYF}*PXU#W%IF{^%XmxwtjKVp*E7Kx;
z$9WsCoH<$<IVlE3OLIf*Z3{R}6OXaBJQccdnPuz*Q4Bo1w}K}xF5-QKOb<ERs8PCj
zTDh&SC<r}WJ9ida#yw|w^ER?*Q5MVetZ=;uIMGvf1+i89{WzY{pF@x0UDc_Ar9>cU
zf$VTPU>)z?KSdB4U_>IfY?;FD2t&uExB|(aoA_-Nn}NqREU0kboee)aVTkM*{xgxe
zjdy;zUA@b}jxr_eB9~)?;D~s8-24$LRA!z2EQ5s;d7nTE4B|r2zdwtAdyN|5%C{`2
zUUQ+Vhu#Shn*<?S)!xUijTSw^Iaog5<3ab3W29%aAgIMgR&w^zqs(j)@mvNUYWP7T
zmwH+djt`13{3S3U>x*5^{zLpIrYP^F)d@k6+25d1pU8rWXHGLBM<K*w?pA6TAP7uk
zO>Gw&c9dxSw_Hk46rH4P$FM3v7?{4jmtBby9Y_(WDP|W(W>Ky+1)4%|KAcEp($9rz
zXQ`$CtB^qNORgye&Iv(sr1p4m84ucEv-G<iDuveFx6TyK3&U{A-l+W7d?>u&x4(y<
z45EL~9Oh#o3Vmd1g6%v%I$_Om^F%xm>3T$ldou5ZTfcoL6aUTEwQdgH9dd{yl6`R|
zR~(wKCw8ejB1rA3h~Q5hGU71kb*p8T1nXSw`MkcpD4lZXULsOL?y13ttm~zKobAqU
z5h#J|PlYklm#QGb&tUzeQ5jGu)3wVMl0tHun`h@~RMGv$vg}505=@?FrVH+sM#>Ln
z^<8b$&{|;#DJD<>&Yj}B*Zx!%RTmjv{hOqY9Gf=2o~BcV5@OYKNHhrznIFDy_f`X0
zSSUC6$5Vj$xBSbs3-ZXGTO{1LR1-aqe_O6HrUtj#pAYODCZlsrCgCT}YN3KZa}Q~+
zY64Nf@N$}v5{jZ3j5e&*Li-Jt7i;$Ez*C3*K+6xxh}v1gGPzO<X=Vy~`RnNe#{p~g
zxrZvqq_kfuLq!W2k?-9##xMw^{L08zrl8sG>+u9RO@w7nQzV6qAoNUw)yEVHdX;T#
zu#%<zj}PZh`&>7M@TvaY{6-40N@KXRlc9<%{BlN~RGNUI`DdRgoPzwnr?j+at03h=
zwG5lDOyP%1{<z9D3St%bOrI{HfEsV+c03C(1IcZ(#yjgODDTwKdb#^D=$N3~xu{=e
za7;_c>@22&nq1O3y_m!i3yuEnVUc~{WgQ$m_Dl)&$Mi7R#q%L*%f>UJtoxugT(_Pv
zj*KckR(&DUG9g!uUMkuTX3!VVAoxo~9(|TR<0fkK8~<~;B1PWP3}hhDEUKJ{&exn<
z;@O(PA}?n$h~TCW(d2k3NJ<7hwjGQi$kV`7nVEo-u<1WOq5Hj+B#Fv`TJ>*>vclNZ
zpk|V{33MA&Qz(4mh&w%fNNIr+*sOFd^pG*6UvmAA_oOh=9(=#!d6ow%!xI{_`HVp`
zbaAt)i-2xfn~pc|@WDQNtqrwHM&L@XntCgh8&Ro?r4Z!_uzAHXe4-a157SthbY@32
z#C&G976QcIb|{WB2e@%5Lg<bf1Bwzk6Zo2s|6lIj?+FaY;9{_(NZ6@eoU!`P(q3tP
zSoajTE*@hD+&v}COsPw_uNv#cqpbWOa&*o2V~zo2hV`%~ZH?e*#+@>MzY{>Q|FX!p
zW_@rO9T`4XlZ{ml+XkuT5#SGQ?%hbE50Q$a&AI}k*hXSC$EGI%q`uRA60p#N{<P-p
zl#&I^yypA!8C?Q=xX8cZm!=EJP2-k_qSi3!uAj}%1qd*fYO!9iq62U0>yF2jZe#cT
zPjI+05ulP0Js5M;fx_!Xo{f*Fq4UCsHyb+v_{^?1>bGbENkCP9FOd$81%I=8O(KAo
z{eSc_CfXomkRW&E3IlZ0braj12*6ozl0oi+7A#rfWiK<C;P=_v(>g^2NIIh7v3@`c
zejKW~`tuPBl#B+3-Qwbh_U^Wqr~5Ub{PzBK=O{K{yXw&UH-R7Al41IYuO>(_m9u3z
za=^0B+EAsE0O;2im(=ai1R<4qjv6jbkZRmTPsRmc>Gm1%o=OckB10hDTjT^S_mtJ*
zmx6FrkYDEYSq&K8c#*=~$ps46EVgcE2|-F@oxu}94VcKh(w|?+4cx+&9E&-^ki}h7
zy4kA^{9gx)QZjhp&B`w)pBfQ(J@H_c|B*TzqM~K$h~b5Y{(;T@OQLYi`!~mBA9c87
zF<HzK$_GaRf8I5Ny%5*K=9IHv9hQe*YrhI6z~Pw9Q!7^D5USY{tfHh28}DdqS)=%&
ziu&*6`y3LmX_DyPDyj}GdTU>(GXy}@)g_wPEde28=kk;U)gkxpO45O9L6AC3>tB*D
z2`kE<tN0|;q07qJ>d34R4A2cW_6A9T?rECBgPQ8#&CakZB`X4FEco4NPe?<^FOj<R
z6YB6HUE^@{1yQ&t8Y8KuD+6ewPP{cv9fpG>6*`d^e3bFz+!c`p<~E$^VXHdOR9_bl
z+#?QDTSFyrJF-x?Kao<fR|9PJoblWHK^%HBd<AZPCqm@O&d=w=H9(4<Pu2dK1dwwy
z*0^7gAT4LXR&P}U<~u*t)vHOu$T26jKbPfzCU4e{5TptBv?jb7eoMl4D_;wDC3#pM
z<BNLEsRhN49^7$#ECt<)KO8T%$wM}+&WO<~EoicB?>X%#4X;UM7VXvwpedS1c;u-K
zhyOe3Okt4$L6xW)n^y`j?|Q<FhO7e#jIKVcFJ$0Le}4b=k^-!I=S1_Z>p+;RSpC|5
zSr8!vA9P?OgWcMrwO=i|p#3HG<XD$1=myWs)&EiesyEB-9Qk@cKJ#Jl-C-gW<eg@z
z$x(ooK!u`+>-rE7Nr;OnBf=ksclU`h3V=*m26rqC;Owy9jr46I<f<9dMqQQ%^C+kN
zTOx*Vr>N*lwlWE{n)6e|)8*iT%hu7Y?}otYX0hC6MgnPiG3Cuf67ZfakFScsV3J3<
zVB3%c7WRQQ@6QoIrt}-V4i|vT4u@Wq5D5m278kulWg#essxin4fYbGiyK^5AQp6MT
z2-VWy$2GoiJp$lC>iEc75D~P0E1$DJDg}S%+UueU0i5`*zI3D`f-9Nn!svhm=*k()
zok9TB_r6oM{bk|cjR%5zyv0F9D#%8^2|#t+_FV5*8TeD0-8s%H2ArI>Lhn8TtoZ)<
zVj(O8`%9ioOZW<dYy1zv<_dt=mWIQ>?WLjS#UQ`KmH=!FOzk{;0C4DYy8D$_DNy+M
zL;UP}0$4i8Jqh;(5Fd5(On4;;#^Q3p7hdr~;=Tu+KaByr(?%`d{g8lM#pQCXd2Yz6
zHvg#34luV*`HLd61c=z)+dApS1ykLbHo<uqAnxgrUJY?@=kiTMLY#22GRHqw3IpvY
zCoAH<iUF&`5!YHC4(O^7^l$t3N59;E>AtC%C|og|`;hL!2Fl9BG2k+Ut+l>Mk5*wQ
zda)0!@~}cWMYtv*+yIsoVuD+}gup%1@QjEI3#4Y4G*cG!!Tqs?^nFP|u=DMy(u!jS
zCt}&%Bd7IYG{nqZdx;<BbAP<5G++iSF1=>#s~)JI_e-oABEYR=xyy0t%rHKlq*P<1
z2VoU^Z|6+#LG6>~IahaP@Vz)u8u3yWhOqiD7A8JerQN#J(7_CJUf<8*a=LJG_ibjY
z87~xdcv*3JvjBuixew*&KvCLh<y%=ipy$`H605-qgB4FNVxl_m^Pw$u0T&P4JiqbQ
zQHBjFwrB=aGqmA-k49-o7B}2Htu=pDmmS__EH~_mX~WUy9!vJ7+z{VZBlYMK2b3?)
z$4wPzfk?K?rVkA_WLt<SXnfuSyguxuB#IVHq@L|%`o;zOjTml7<Z;3yg%LaIT1`mZ
zcLekP$OV=M?`4oLa)G9J%=t1~P52)G0RR6CmuEcJT^xq(z4zXG^S9UUHj7j?DWW7I
zc|=($N>a%v*`q=VsVEd76r!Rbl_a8)?7g1<+w<ak&gXN^xv%RU51GBc`hpV``~R2_
zJGro<g*GZ?N(U{{H?@R^IB|pT9?KO&ZoFON_9(xi1Jga;oenHqSc-A?3)km??Dxu!
zWReb&2&+!rU0gWz$-es7HeNVgG8l^frVYMXM}f#<E|4C+y}<0xhm9zkv;8UBpv-Ly
zA7tZ3`Ws=-;T(Qwv8HvgZr8?><?nBdlerN&TyWvScL7AIDm!M;Ya>CJqdZQW2N`mj
zR+kKfU~1wNzxkSkU1i=^i`#iHu_EcZr&JiBx*HEZ7Ld@y{^8Q?)4YgStD!KE7e)IE
z9{!gnNf0@s=a;&Z56eGNHgy`r@MCVD|9KA*oUd{G_EG1DAB!$qqLu`9F!iu}-9`fQ
zQN9vxSpgV`EEFemNFso>|4t!D5WFhqaY0QGv4_e|=PyZO(dfUAwN@lJ`CWM(ze5NO
zDW4Mu#-z}~aixOaorF54BI@jDVc1hxNiz*f<4eWZ*pmnnSVj$>%RUpqTG@1G@+TS0
z23o5Zm64D?EqPU+OAH3gafvqlvItW2H*WbwLT85HzH=wUQE>dSSI$Q{Y$S*JFc@m%
zM)0firC}0CZ;Tk<{!Sj=!Y^QvuZ^MezKKfOlCW?xn>o{|0IuWb!nwG0P^+j^eP~${
z`l6a{Z)y}VeW4s5b9KNUF0+x}Bn9EWM7Bbz64FlG&CAl$1zpOa-j+mZOr9;6TXj)}
zy0u2i!cSd@X7A)Wv`Yp;rv|U?qELa&*9J-IQaxmR|DgSxLl)fDy(<eBRPbxdjoIjg
zK8(t0tD0ZQVx)KV=$qdvSmh6>_IEab#c%r$lreI+ZroGOC#s4a7i8`gm>5E4#BF3=
zR35#ByHB)|*H4=3tm~>7A%U_jdA3p>rC|mXQ{yUNbw5orENP6|K9|e;6%;V_p2<cp
zQUy;6KiV~Mo8XMZ?~eCL3V7M_%AdDa84VF~dowmo@aQ?sd)qe(P>YkE5SmfK#iklc
znn6>%6q!3@wWxqOkEedjgNhh1I6VL64gu3XdeOCY1%&3_tm(>8Kpu~W3ZDkR$(oZC
z{zC!%OnMHYTJnfGQQSol3)EijW+*LHK-Hgv^`;fFm}^Pb;b{b(fB8BUWUGLS#g{tW
zxMh$P!E0^v7r4D%vXb^j9z4Y2&yoM6(C#%auf}YKu*H*??&-^e^9RoYZ=VG0D74f^
z1kK=g-Ef{cNe(Jwg)2ExVwlN!)yP6#7ibt>k7$!c+MG$g!%1N%(4W57z-WfC5SAXH
zDH$yC7Sl)E7Qk%<nJcc70Pib0BNJ8`1P@;;ALQW!m6^PFXgi>=XOFU+v^36s8ckkr
z=SH=;vU$^0KqU42+ke_p=zikftNV--vR+BqlY0Qm#j-44Ye~?ijiyDdvm;GB#V%VA
z_?XXob=E@yho|-Gg&0}!u1xuLR2hMnM>vkjO^6}mvLf4LE)%-`>r-*#BOpK@Q*c#N
z6se@AX1Wy&2=PA4!g<;huSLJyu}l`m2QC%)4t09aB?~lXj+&q?;@6iTN+Gx^E}Uo=
zrbEFV=jRFAO%P+bO*<%60O59%QKpAz@ss_mtYU>Rn77<Zej4%PU%O=TZAx0Cy?3rk
z<}e2B(?c8mG<=Xu4-`-xr-7AYd{E*EBa{g=*3?e$V2^L2(H|CCBn}#lH+(aMkm~zw
z7pA!(v%9O9K9Cj?j+al}w=sl!Xqv)27dL_{&6qk?X_3%$BBP_$07=t@w+}dSLAw49
zTjFCnysz=kbyYOL-0z`i=6jqNYD>O#FPk1;nrc4g73gCmQn!^}mJ<ogM(U+S3>YaQ
zwBGUS<LH^XSntOi;9{fPYV2Ud=-)gE<qSRKCf_R+^5H<R8pZ@TnDI~ISbHCz9_))Q
zQ=7?fKrrg{zKn1dl#T4Uyp*SlC*PZ>KW(t1?cLz&<7HO#o2@x?$m`+)XJ%N+cXl|=
z$h}L=W`})Yi0R2%9YkqTztWguM>;$0f9@3=c#;1w(8x{)VkwKqOn5jT!ar(#K9>_2
zbhJku$F$KD(B@HX#evT9a;l{qE<7n^=%75WjiiVRDc3G>fbUit*MH^Qxc&QKV3x8r
zE^mZbX8+_s@p(txcRf4^nm?u*(ocfllf-k^ojBpAe^Z;8nh(MHZ|$d&Na(R@^^5ty
ziD{02b!Iz$RGbzPx@bXyWy6Cor$8=f3XXO@zaxO(CdG%_Xh?9+Y}GU1<wnlysb5T@
zLb$ynb35s^7FfQW`MmcXH;N4>3Jb{`*=~D0F1APu9Q08w^CdiRr0ncs-X@AJv9>Xv
z7%fa{|6DXn=EY8zjf(4=Vz?3dHR#>}EilpW8OJ8^p~-%-^}3$~a%8icY@M}Gd0p;G
zKbdofq-(ll_DJIJHz|3NqZa-p`u#fCB7lMR6y5+=Dcp|^2#)a7LjNNHPM!@x*f>YV
zo$@5}qQN-W<fIm2mcCgP?-YjodVL)GQ5ht>yw&rNe9l_o@~VpuMKBSqp=ozk7JNUh
zpXB(Wg;dUCB_m2=(8*8ff0ZwXC$bxcm*q*&ZmgW&`$!x!H<v|X>*Z0SJ<PB(k%Tnq
zs1Gb<5=imyt<LIGK)ybYi^m!Xjc*5p9AhMrI=nV~aa0j9&LP_p&uPQ)NJ+|=ixl1j
z@vSWXR)Wy=t-3wZI<T7z$m!9NMnaO%{?@O`ctXSZ-(<fI23Jq(<#Wj3ZDXIP=wlUx
zJ<e@<e?u3$fAlm({*}SeBj)cO1*<~%oqE9XX+8Y#(39nFm4(E24X)KqRiu3s=!p!`
z$F5%w-C9!Rplw{361ZOtKYQZDazhLNXMV4v4)Rc}_Gn^HQiFc?F!3<P5OGqk4Bt~I
z;Pwfj-l=dkI90OHE2kPER9*c~COOA1JhH7Vl2ijlakyB1i7~v|81DQhqzFfe*827&
zRUFwtC%63A1Q$a;I~|TuM3|2;|EYT_2(7XZdeLYKJrOo5nnp!LWbQvxlCF%r3#K>E
zR1*+dYaB@(P(&Hug*%f*N(kWdmRi{k1Qmw(TD(<+X~aR+l7|Wy3cAwReFup2F0=P7
zQpDz%VCGIrdBoiLyhX7J<f`=SKVYi}%?104C6X*!OipIf=$j$%O661^nP0Bm${kT|
z(l|n)6iao`3{&ClHC`kIEQ~7z-Heb#sR40+G|CL(f8z`CBII#<)IZ^^wK!Ba58bpr
zV}|4DQw!g2$>DIw@YNe_!l;?Ebnpl>gV!Yz=W@L)+G0J+XQBmAb0zmso4XnESgQTj
zn`H3y<TbhKNM58q<GU25ZieV>wEO9wN`qjxr;2;Q1=Yae=dtAT?|XSwlm5OGJh*2?
ze)@5M*Wh2!%2Qxi?)~lbTaqYn<2X`R%Yv1kGwwga$=BE(CEb-Rfj|CZ%xl(+X!)4f
z#;gRgXEKi@s)!>Ybdt&QI2{z!j#En25YX8#JVvW83T`j&o+3>eBu^-M-eMyVa$bx2
zuZJ+|bHnH#hf%@kM}_X_AyY8Z!(ly35cNZMzci>(V!-k7{%223Ah7Y~%G^9Z+$Y<=
z^*T`C{lPTeJDeu?yy9C`62gaWiCh-j8(YM6hAPvS{>B&$FQ^e^<%P{ponOyQwuriA
zhs}i+BhdP?hdt}!hRE8PA72h^5x%CvF`q?^;QIAg;(<F{xY8V2DzdRf#9f-v{YQSE
zd5WQ$QDvNnY~2w*d5QwfYx$W;Lk5_bW<DwRk^{yyN*}K)P=flWecfLx0|dQ#$ml@B
zfhmhByU}Gz5MsKgt?%pONL@xpTq7IooU^A6{h<PFU^SkI>7z8g*Td~DD|lL$D%w}5
zamHOq-ZxDTzHcI>FLblO^WXQ4J2JE|tSc|r$DoIby*uhJO0r=0X69;E03G^>xXmYL
zbrENL)_A3q8J{dW$G*O#$L}@wTbb0lIMqz@DfD1QnnA$pBLpKNA|{JjFX-SvQtpRy
zhRm3Jcq;tWTP85Z*xDL%>VWc&<Mnw<W|)VZ%A-5Qf?)s8?%NBs!FF`<L0kkgQg)m@
zl4`|<9^;eFo?6;a-RC;N_?{U}a{bOCd>rtcdEIiaiv&+0#f-<UEU-Rt>|wGXCwPMo
zMMV0O@cu>h<k}VsX6KsJY}B~$C`plxmW70`^mEFYZ&)!P`fcA;7j6jesyJBkNDJQg
z20bpdvw@bqO{gW62R`oGTpA8(!AQuIN%RLhigf;+Qy=EVMtgGlQxS3wa}^yNOXomM
zo@1Zkc78OBk7dh!(FDz4oJiSrPSBoC$RfQIfZ(^*-fK5Bv2F0$yEZN^SU&Ch?XX`6
zgZ(Vk)ghX&zx}xT*$fw0ojf0uaEd^0t9W|5jV7*m2=PddaigF8X$kd^C{)WUPid=Y
z!n3%zDQ=nvcb7(`|GgAPlEI{PsE{U}p9nqe%gKi<-lSW`V-m>99X=q;OP=$LSJ}db
zA7`KG^zkf8f;V6Nu%D<VLbg=r!?OhNsfxN_j7u6xM=T>twKbtsYxGNIOA!8&TEuN5
z8SIO%ySja!CL*8gI-z}v{EtjUe>4Zn!j*1y@9PXrd}W$zSK|`J#pn{Hr8{!ydusHu
z{f8!Wdl?248^v(qbig&+Kk``lD^u5CsfGF#>3uGy64-WkN90#!Ma1o_uTyW-g0_!}
zf`z;!+;4;id<;;6@--92<2y;nbKa5lonH#8>`dp~3zQMCb~Pqrk%ZrU^z`~{(wIIl
zc;onU6$C$j#A{NojSF;rLp}5|pcExOYrj@SteBTXY=#al37?m}PALoTHx@%3b!zyk
zla_t&qAr4B&(uyW$s&F2{^y1Wb-275mNCfGL#C|l$J=9acq7w!UxP{m5%ml{VRicW
zL%4-8bjqViba0=7q6R*{&;EDrj{)K`SrX^66=0vnb(l$218a=GPdO+U;dmAMeHLd$
z%-ZvN{KupL${v2h)Ieh_IH<|b%qXIpUoX}pRvj^lT7GjCCJ39@I}jbLgzbOT-jXuZ
zpe<PQ;N++&7HmzAbG9qt`kF4$uvZmb20mlIXn?zIG82>J-jW?R{FC*QGTQZ+0wOO0
z>=*sB180?RM*rQ{32r5vW*cj=-2w`p_aqpR=iF_M+cFhVzy}I@3m<PYXvOnqBpy*h
z>F;5}ghCFndqv0c%FPg*xPE_SL=lCIO>8c2rIBIvcJb4Y87Mo$qDr;N9`GrcmNH)w
zn699iTQ@_>^7$Ww-U{$KbJE3??DgF*+$8I%&2f3=-@fsq@<<M~IDYPp5ZI>+9=0x+
zA*uag)&n0oP~BBtQ(x!9c^mo<W*^L8Av_ZlYc7lEwODTHIBt9n@j2XFY=*r?w>Q%H
zWH7z+;nsG44#bFRn9li`Vb`GN{@D>Je6eT^vkhW~&jD4%^I~Rbr5k-DcV7~2owM<#
zALy|2R~F|=58x!V7AAB?0*^DByymH?5%kYg{=!MXZ<6^7)qOD(8TU6j^=}arce2dI
zMS+-|GaZE|MBx6SJluDAm6+C`r>Q(c;C{<pqo_SXNFTYpS8Cf5VL?#upJ+41Xu{9=
zynO=L(a9`$v0$DE$gN;pW-x`FjCjl2cs}S%#M7SoJWEjiP>XQhWrAmU+qT-szB`=4
z<RUaMLv-02RSI1<hQzeNq@gJ{%!}HrvZH5+sm)3{u3;lEy0$lKyywJS_N$T4N@s|s
zaHW+Nbt7<7>qRrAa6sYOm2z5(S>k2AjX-?7A-I%J+6RAO!vltmz6|3zLPPM9MdE+~
z&MUi?-Wp`VzjVqsoM-2Wz!8Z3(>B1J&Vu1+NoM>kN_phOxJY~ydn?^~O&{J4lUcF1
z7~!)jVlCRfM0{>;eaf(+2d-h>2w`sqFrFD-Z@afbh!%2IKlRZgdwJD*rxQKS1&Dte
zZC)cd(<~xBzShMCYjTiOG#!i`2_v@U4Pt-bmp~`z;t|b@`RP7dTzT|T#axjBS38bh
zP<yNcDeu1n7VflgpK&?9b(j)Y4z*|bX^?$#x+^`LffkbEV#ZJEs8F6TD!X}48@F6J
z(@DcLh@a^{dP0N-eA|^x*EO}#AoDUX{yPn5hPIq5uhF8|K1lUwJ-IJv|M=5HLyO;y
z9#tmN^ypk;F*s;N!afSctGDcEaYBtP(W{FA5kD=1mp*7g-Ntg>q?Q)PSP$*Lc9{v`
zk(J4|fm%2={$6Csf)3Ud@081eSfEB_Bzm4!3udI$!<T32;BfNEnZl!F&J=o=4Hj#n
zDypc1wUr(<@O<E5!-0`YCOWC){Fi$ceed%l2AuTiNw{;26K_sYE&QI-KuLYkiGo**
zFytwpKU>a)wd<SO*2NkawJJYoM@#1H^DmUmo80)|TYimmuLiz$c>fdfWx?}?**`{s
zyvS#;IomCufpupA-Pqr(5c2Ud`#8%7VeV6mA`R-~9$I7~naK{@WY;SPGX-E(vG^aW
zn>sE!Q?v!wazIYP^Lden5XP=P*Jhwm#|xtoEBAU%<mDP?NScbkyI}R{c$*p;bp({$
z`nXWm>Hp2ZLJW7yB}!iBs^Q}80rLoI9>_k@I1-{GfkTUooT``9pt=?l)Vz}y79Q3~
zFFYjiGy2GQJ30TpIbPWkd&mdBoo{5$rAfhW$1$~s&(u)1-C%T|rT`>sQu;&&q*1$*
z-^zzk9j~0N@6mS)LjSFi+;I(AFod!ly%wns)f^uU_jqAcO&T-QWXM6UO0@S5qXw$h
zJvn)tMRC2%x>l7=0ZgAaN`j7RU~%@f!V!o=pltoCbgUu_%|0&a|Iq;Zx2dtwn-Zuj
zHr#$|SqY{`4hP7^YvO=@;`C>7&V>E?d3et;73fq2*@^0Dp|kg1zHNsT`nBGk3jeH%
zNxKK#<xC{339MAKj7cN(fy%{P4Rvged*;5~Afejr?+Y$QSv*}{Ivh#TfVgHOZv%%8
z_>4QYTPe$7>*k%9$~p}+xwwp6G}pz?iP)v&?efr&oHh@T)WnD0>vy(N^`QPb>8tZz
z1q6EVt1utdL~zmJla|Z+XdD?Rvh!5LxPc~%=~+$WNq+He3N^&AsRKjdHYMD$GOj#L
z_7Z^?dlKkZjL=%v9jU>sjDA;Fug6N7@H!{6oj%?K%3;ivD|O0f-8tmkR;7W$wx_+$
z)C49Lx;}?$sX)D3){}}t14Rz78rBE)x`sZck5WNDZS^*86E%Et4Dn+h24)kQ785V2
zz)k3nONf*TEM6YArw=zntapmbd0!Ps%owJ2H7kOnz?1Fxv>DzRWM^d2sNja<#lov9
z@-WSeyRT+%4p&+6Yr#jA@m_mhu4jx4T<s;&;?vFX(4$$i;U<}XkvAr&UP|KFw=?Ip
zYt2z<Yj=P74!KX&pXz)@exJsxv<%0Z%%R#7<+q-sfG*)$^BPk@WSAe4N~ko)Qjx<{
zlC3<7-_N>#$mK!frS3<C=gcv9?oLGSoGgB{oYHeR#)0@94~h<KH;0DruZ*>187TI6
zX9OlOf^wQcC6mm@fn7fu+9jlMT`qe^89|NO>0gdN$y{sB_;XOVS`vTl_($WH*NDY^
z67PyE&Csi~Sa4*A1UhzfCyV;b5f0pgckX@z>Q0sCE`1e6f)#tfE79M?cwOUpUvh79
zPZCd<gD?`SM$&&_kO+}X=Y7Zoyf9}E|J@;gJYwQ%`ngxc?UFt@dJuTU$I&Dc$p>TI
z44R!Ww+a7U`O>d~OcAy;H}B}o1K%%6W!l44O*#K$on-S((D~jvrDZP{xMaj`TlPL{
z@-?liX6!RY*0lVIJTiA4Z2jG@b-$%)%|X|niNzQn{2%Xe`o;<|o7TGgwx*`Zvz3ma
zJB)BR?_A2(3=`siX0_10ebn?-BP-J*)ew4GIiCVu8Bki~U{K1F*Obxav+L<+103s<
zdM!v#hc9ETS?^m*iS+Mv%O{l#a8RE5yVMpntXb(*yL6ff9r284|I_-=mG~|gVnBtQ
zFM|u3<*$e;`B<0z1A6$7cglb4J_SCM@4ml%^c`_9XYHw~z8-RRvlVf+Y!Y_#zCnX3
zp9vvDd5zLsT~saz3&<p{6CCAP(c`<m6E~hmZ|0Nx&a-+WI=1pvLc=L8-|hMcvFGbM
z>VL;{aBuzN<MT2r#Fw4%<6(cs2qwv~)zI(SXd9b+MD=%x7!jMe>9OMv;j2J#meoZY
zzN|Cq4XcZUmd0)e!Kagitey$g%^niQzSli`WV=X2S|pTJ7EBXv-_At|*pk56Z_!cr
zae>H^Fyy=vI7_&US9<U3(n9N$Xo*A40zvoR1daZ-d19zP`}DqDTIjwKHPMl_KrGzT
zpHtCUB!*<j#rdNqiaEA9iac2$blSQLT@99ry9*P1o<5qGI+6N*kz<h%R_@%p;kHWL
zb~YN>F|9%FJ)6JEt}PNlm;7%$&sZnoJBDZ9#cN>mw~>^j<q}cv;Nn)e09-($zqCp0
zJ)XL@K<10|l+fv)V#`F_K9h@~Efh%YzK|GvNFDO8kLR+=t`O^rI%7p*R0!>!kGCvR
z!<Zo7cN6k{7jqAkAGl79waE+3SAM8sXrEB?t;cJGV}ORtyfQ7!3%C7>R#8QO{vPT%
z%MIdC)?!EJ4?2`eUuv?ARY8P01&1%q7LjvCM()}(2I#!i{A)+{;`*WVO9RmqSkrTj
zw`gSo8?A-eA46sMd_KI+o<<2@b%C!;3oJ<bP<OYuR0(1uGxoKuRPdb;c;@5Ij^ihX
z--?JR;T*k9#~d#WN{l$Asa7~}_`UKK{yarQ39B%uT%?7_t_Ri;2f6TC<B8Kbc|{B{
z&Gs;mePZ;}NiB_k+_-#_FZ*1R0%S|~ygNR^fTgp~>4tK7vGc${NZ26-qz6m|X1rzs
zMX0Ty%`tvd3Y~YE7g9jYu!iy5aTc&zo`}^B6vQiCRh{`^d6ZT-5Kpw&F>L#&)g@gR
z{#6euni}M>d0ve*X@CRO!A6=o<D!VO`vm5D@>sBTZFJM+!o})g8(Lj*PrP(ejjCQA
zS9Ul>K7POr7ptK>>ohWd-#iv|CeLr_aC>r&%;kZ3*0#^I(%=q#c->4{0r@&kxu===
zF(0$5=J8b-?3ey^x+GTtMGIbya+3mNuRD8+&rlB6-tSUe(No0UiENAPIU(q!eecGS
zJnBMHf_Kv?A%~YMIe;wK?f<>-AUYKB<kqyaIjb@Rm4wgxg@_}Q+1oX_Oc^!O`|Nt0
zRG{#vZJ}aT0!B7-6isQW`1UJMfOS|E1Ai082Ti14`FHcRLbN&z4+=gRe5#IXHR^@;
zGNtk5=u_v83JtJ*S4)&%(7;rVoD}_r3`*H9UW-Z5#81OZXT$ZiV7ck%cq>2-;^qEQ
zyFAJL|KIriu`&{lf3UIn*DntNzTMrKEF=``9evVerGsBir@j6{5$+rOi!ahikXa6B
zlxEQbU#Z(RlRPERirL5h8ztc`<^3SZMSYAp90|sEWk~)m*_F3U0=G&>dCRIHiYvDt
z@ugA)XV_%U?=}*&{ylK2Wi>(l-jSHnB~_GFUyiA;AmK+?(#~3O0<m@pW5gphc(>0E
z7KCactG?=2Q3`Og+(SKFQyo2m4oz^@M1$4q>A4s)B)IY$|L3a?>l57<!oI7cHb*sh
zX_q-paQ<Rtvr)%<+p>>LsS4(vRTnaCnqyk<@Pi|RWRDZIllBr)#GGpT^3`(|;Jv=6
zNs?BBZO4TVi3eoSK5J}ydB_3}biFt(i>qSyedptY#gfpT4>7M|v&1Xu<E6JgD?`^a
zZ6SeC1Wp5$QagAoA$z67Xx&Q*98G&x^9Wu<eL3^CY2E_HIhUVau2X=ms9tfmIvY9H
zY}|StS>V>z>al@2IS9G>SKZo6jqlq7g!?@$(95jEB_%40m*OTRdOGt&_LBM&qd9Yg
z^{R*06Vebe4j#>PdPn@5pLqQt+8q4JyX{jCN#eQCd!ZKBZ%ukuH1{jWTxPq+>oBG&
zjzCp^>k0drrkwqLw|XPZ;AtD+_Pa(H55X?+`oVIOfUNl2{fj^}efy*N00DUAl}u-G
zZ8i<%d#PLv1G)y>EL)s-G4=OZ-|A0_X3_3r8vPRl)C_yM_MG5C+k+iWW&%{rtSxz0
zZ!el6{zdR<mfP%LO1~B-*G|>k(OR={naLF2{>=29{m29Z{Z-9xEY!{K^y-=h<xQYr
zTv($QK?m_uKLVaHQ8(YBa;#3+WsKdSL&>U%RB%&#_5JJzs^(iFPrB4%jc~2EeCOcG
z24R2B>)G?uRL$d=hHYMt4WaQns*taEiTED?0RR6Cmv=bT4;04jz4y)@*TucAagBVB
z5n5J6g(MBqP@*42N<u|eNl8g%CQ3u;dn$>j?2!f~Nyy3`KmVRT&U2pgywB%--_!_$
z`5+lKyp~3OJ~w3sxgH_Dyo+PRhfkY>U5Z%oq(o*I#mWo<>6%K>1HXw(=cpgW)~q<^
z92Q-1o(VVDOxse&dkE_G9OmWkEVx-{v&@5DQ|JZj*MXx=L}E|!bZ{CAuA)HsBTG|g
zz4BRpTR{nt`6$v@--`uD%m0htk!=D!UxW4j2)-f@6<EtRFjn^5v{LbBHvzqux6f8Y
zw35dPYAyF^v!HtO`t?T+7=z4OCt;SZujJaAjbc|#Sx~ho{nys7M&OV!HyozjM^+{%
zPoMT@!FbQ%vH>?E=(2umHWoKP9)n~~!9o_~khRhJSI+>>bAPjYt`3pSJ-$NoLaZo6
zx6krh%Ygg^MrniPC^?pN@Eva|D+W$fM2XcKg7Q5T^%FAVWG&Otmc@t-w_3A|%(xgr
z&z;6U^#c=R-^8AcFaNP&>#gm(c)ICe`HbuE<imfYfa|djUY+b1e%9r=MIar<?2f#9
zdU~1+WYZ7g`oe)XUU;~r&(q)=V^`PlZL_5I>K9`6oLtzS{pg5XDh=|N^4nZ(=E>gj
zna}NR+$eFHf9eaB2I(GOeo9y^lENQfZNs-bSejR?IC9wloE<L~op4_!l`7N<H}B@d
z<dYpAg}&)ST~9@Q<{K8g|8|?+YPtYwtFerP8R)||orRFW3053<cxGmgt`M#fbF<1!
z&;t*7As#^{I|_I<)eBNZP^n?jk#&R$JZZTtztTC7V`tjIqdubeEJ1H-hYuCx!<~4;
z1i5f)bfHvNkr;Y6yG>o})CIZoGYR#1+!(x#y}&_M0?(Y$<Vp3@g*1$0$oTT&`v<?`
z2JcFuNwb_@_7nw7?}YCwu;fRcro#aXTcnZsWT;*98U>ytckTaeD~Lu%p6qx|m&JOA
zPQl-96mU>=sNNPXjNbBfYrX06=zBNp_^<*6uCD$lyna{&#V&ljJ+M^~cW9rZXD;Y~
z)&3J3vY28x?XXHz=l&{WN;9g;Cw0Iq##1aHM;v8#$46Pns-SbGzi2oQ1;T4y_V}tv
zV)`)%u?tbfhp%Q$uUJrkCBJ90QjHXT_TlfB?omT~jnETLsT7E)HR@W3m%&4c$8WRk
z(!l2yDY7o2x^Uxa){~`RIc%SCG>u)-#Ok?>+wE1laJ^%1Ysp~+%<{chDN(46uar{S
z6SJux7jv^~=!z0H{36D_@1$U#Q33CsM|wckW;XR4QpU@TmOsyHQZdt+?j0*+0PEg7
ziQvyu!Ius%+B*jIaGiieb-xD<l4?#wKI>D(tgb!GgLe(kZ2y(n+O>4JDPH!%kEV{H
z?TzZ&@@Xj0k{UD@U<l2;d+I_?Yhd>hAB%4=9ba}I`Fb^<0S<b;%ne<dD5xUmP%dqV
z+C3uehb4@mGAAK-6;&Hmce>+&n})b=q3=N09TVU`Tr%=IR0q{VyE9B#7^q{V<mI=O
z2}J{)L+6VqXnIh-=M#m2?XpKI-F3_%kL7(L$6H+trM^;8l4an4Lfwxiyp}MXQF`lD
z6%{YB<#FGuHblN>P93g)S3{WBm1bI;9+vyvpA@GUVn$%;-xu`+T-+|Y<SMO?n-X(s
z;@8q~=A8IY(OUp<siCt+1NHG_Wp_`Q77aHmk4DfktigROjO$mJJ}O&Kw7IY7;o+Ps
zJZ26y;5C0LD#lVD_ghywOC?f}a#HQjpAH-Nt!Qj1RH=vCHuj?dXd%NcsLIRM780K&
zZuA|eBGFT7HPx+#^#ykd-kr6D+1;u9vVU|@Ku`b8xf9CR@g_;4@wP3LbPs7c6jPAR
z&*Ws%X*s-iU`}W*#}=BDu(6oXK}ZRiV4jpfR*Sbw0TH&K9^vwZ|GpM3neXj*t09E)
zufC6{o7=+Wy1JM>Jeo*8V|eA{aNrLKdA_nf8<^XqkmS2b9UsZ|%IM6`kkKHh5)f?z
z-;S%-7i6g-Rh+vqYOtU5+|u(~N!SMT*>aa(_ba2ax~98*$_=uFQtT$2X$?GPZBIi_
zDB+R8k%ynPdx(jP`!%m9T0@{|$D);sJO(5(-FqyD3B@bCE?&6+l`sCa(4AzEO7(PL
z?4BSd*nEc>+5oqj)O8k*OJa^=^B>m7Q$${mL-eE{0gZN9UA#SFxc$U?drHR)QI<CL
za4Fmh_`YmSYd<D}b?nJU|8mX|wZCGgLocm{efqP<3X%kH^N)Q}*COVKqJO<n<a0~-
zFDX(cI-Lij`nDh69xz9E{@52fIA{TO%L)@MOB}dqP9?TvaF%Ef5oxVawt$a`o`dYQ
ztSE7LtInX_EHM{Q-_7Q04q>TT*Hl{;$^Bck(adp%2(GmVu*fxo@!|9amZvl1v(LqO
z+nlC}ZTIeFat||s+936dU`&#lt;ZIlT&9TSW~pEnD<-H=CiqV=MoGi02pyhn|A>rM
z+o|ewQ^@p|-gL_IH_0rTrP_o~5<5BT3KvFA!1T3QhlJt}@<OC#)LhX7Q5@x?=H+Gr
z9rh3UGA+AF>ZI!-?xk_!yW0#`$`fN4$?f%c71u;I{8w<U^3XU@qHK9EP|X-3AMCiS
z)Af>EYTkYyxW<XS5gkHBsYVbR)O9MxE1mrQO+<Q}93zf}df91m89{zow{+XaM?{!K
z-um?GV??E@l~LIV2E;fv{#$qQEfMw0TI*u&7-48}Y*usD5DNPkQS|LiM5p5We8q+_
zVyE)EiQUHxVQMKvDDZqc5iX?fyGMSUa2dO0;yzD@ijzV2cy@FXdyQRt?_3-wRz22|
zX^Wx5**hZTY?I%Jf&J`N7Ssu%Yr~bV&HQvItdq=8*ZWRLUfa=IH8Mf0mmf(myF!Cs
z+z&3C+tf#_{@`&(plgzdw6%UbtwV!&<Dx0~uzsR|oHE)r^p8+nsA4Wg8i2UEu%Tx5
z0I`-MSIB}gO{}NJ7{wOq!}j;ZJL4J$iQ0EM>u#sd5TUY04I$t3fZE}}UoAaMG}lOQ
zu<OqePt%4{pUUaM*W2f*w1~e%g|)?Q<JozF|9R>^4{s{8eEKICvph<~v-qZG&n^;c
z@0P2q&C`Y8k8BA~H;)q;o5r`M%Cdk!MWgohaSF($?${h$GeNkj{a&T&!3y>!o`FFQ
z6sUCNw%zXbkMIlSw&yNqgXkS4jvsS%Kx(7?spzFCLTm4-E_ntADEhtGu)v`M6EW~|
z_`?hlzr_)fyE)+k8F`0(KpO~`z9HV)IpQ2^e)ix!ZfGbxZT<SI7PQr^$&VUYARe~w
z`zcYz3&fDqVFgbuh*0g`xxrzXsE$rtySbkqihVtOt2;DdzDREF_a7Em+;=K*>n0(X
z_Ol~)?$Csft0GKC-Pj=F!kJf@Q6lip)%|wuqy~_&*XKIA*}>&QWYV2UQ83zrJ>#hw
zkQMbMbTNSwzU;VPT$LmagD+k@lU}U>_e8DsFZgl8TIRjfVP{Ej;MTl%Z&Dq6n6)Bh
z0lYBzU8N(yLK;}vUfw(YOdUdRnH({>!Ve14>w5g%W#P17MCHvib(qzt|J=(a1m-_J
z{#3m#5A#pQ#PXxn;ne!cFAAGP;6@jh-V1ppICU{YIOCK${H=N9Gx1s!o<!vxW!<X`
z8G+48^Ev7uX&QarX|p&eKj-ki{#6BDeRMVz_^b}z(>!A*1SDa!DI)slVKrzq>pECu
zp#gT@IX6lNq~Q5&kGJ>LG@xGPetBfI2FNaDuW1^R0ow<HWp~Fkfx6|~e*?!gp=RNj
z-X1x5c>lo6F#VG@uwIDJQ4iJv5wAZ-Jr66ww7Z2fvzr3P9%`{mWod)|cZ=(HCs)DH
zaMzlnD|yT2tjZe$VG8(k5Ji$MDzNm`YN12G07P;|HmS6(=uIhMqu5hb_%BP^NAwa6
zoRg=bwvXw7^`+-Ie+<<@ugpg+B!>=?-#RavnbKD761c%vsR7y>`sKv34B?IQA&=O6
zI^+r7ZP~q63q)n}T^~g<AYL^)?%PHNXbY?^+q`l&!Q2oK&oqLeQQx0_n#S;V_-y%+
z01Cu3_bMm9HUgf<=MHP?n?jOdj&;r#T`1Q1(-<yn4A5NEneSr;yHES&nwaasP@H7k
z^Obr0+#O!~0t+~OB%mi|zdlTV-Y6$iX#}5dk3L|qTEWkF*t;{x0K7lvwkh!#LFt!R
z2X-9*f!&`DsEE-({J|Od$1{fT>A+>bNgHeMD>$Dc>_`LeRd;*jQ|OR=JN>b_tqsi7
z%ZxU=(O}XaNAxNUpsVzc(aBY|Aoa6PPLxK20}GuMv7c9R*v3Qihd<iFbrp$Aa-;!x
z+^KIUd#DB1InQse*k}iNR5rPY8hvQ3X@RN`H6SvlB>gk(z{lS&Y;}|#WbwNF+ImU}
zY=Zb~_{!{HDR%4KvN2uoDw=sOpCJWg1h1;`H9L5>BcgkcJ_VR^#&_Jygn*vnITYt-
z2kXMroCIvOLH6b>Kj$DTz)0ik*PM3175+hTgOw(HviYx{ZTJt78fX*Wn`R6CE$=4>
z_0)l7+FGi;vXLC^_SD)SW(yaCZ!X9wsRDm>PeaDLagw>=f>iKX8({a}!IYI%hOIYC
z_GQwR$U7`9YWrubAu{b!hOm<Y2)|(ya0+0@S+{<Y8E6gT?RuP}S7ku|=?(Y!lU(?h
z$Ez;&Gk`<f&hr#?Nm%vc!Zy*{JlH3{ROsjqz+Ow`sQDubWA;sLJJ|V9E8V5MA(w!&
zi@k<?gM#pW>1Cur9Us1K`&`|WZv~lGFNF0)^MHTirOJ3ke$2#YX04U0p;<>_>+1}5
zu%7>^xj}^=)nj!3JKJdqXwhnvvVMu!&H0Cs_LmQpK4sT$VzmT;(W1MzR(w~BBU8Zb
zIv<v#^&LNMWC66?-z+=aMu>}^YZCYgK9qeV{MIbQ9IoVM$zg0S@uNt%CiWXI+H7C%
zUH8Zg`eGzgOYCcj+Fj;N!HK*WM$wWz#$g7Hmkuz$RUm1o9`j|~ffu{JbpE@ug$b7-
zsUiFMCo-lkTz0JzF9wA?X=|u3h3dgat^e|VlEN1?4oisfqHW`sy<sw@Fca{A=Z4xa
zIdSCNop+kNXsI|gXBT4vbx%*G&=<!@g@bj;EZcdJ{WRN~p})pZaV4PtqS`<5{@b{l
zh0l4>>)j7EMu0Jxi2U$>D>g%Br}3t_TJvGPZt&>P7bDn8p6t5OF-N9z{hYKM;ltcF
zq6&-NM!;98XEAhQk*s>m4H?z^Xc~1iZ&NP=XpM19M;;b5O<lMj^+o_KKkoWD6vO}@
z!PYNL8(1-%i<?(}ToCujjIL{1@%@@xHEK2~Y<PG}h4jpNVXRza^_NUCgs$92VKZIq
z*g53vqaP%KJt{MHpR^2trh7V1M3)mMo^|)f*^6S0ddLo^w{)m%J8F3#o(oUb59-WX
zh@n+9Gvi+HN*)L{nXUQ9jay%cOr@?DN3FcP8xAsbaHCF+7KQPm(zud&M3@A2Dvu9^
zzoS7zbFpKJ5I=^9u;W0LBx)pI%_}=i16kEqs;wx11&@*wHPobWjRUvb2|F5$`SOLo
zxVX}9dkptS-j%`H{e?#(1!+)ibl<ERL~!-!M|bK5Ih46vZ`Ja`0OEvO!*$n-VrrfB
zWj`?m6j9loZ69U;Qd_$j@_}M_lV%zvI<JUp65rTtur+{K#mWJmYvOp~VyRd-yE4}9
z-Xo%;Z2;eLpW3?pl)#n^)}0FSD%j)yKK7870fgT@Kxf!XA=zv+;$o+YXSXqVdF%|J
zj`i;8C!{o{h2+M@MX8})zHFRUi~+<*_!ixBlf~a1WLjyhIzowfhsSpVc&EF8>-@4D
zYF25Haw?km!*-#d)R+c&zY07y*C=4;j^i>L&uC%m)fq+Ai!|U=lUF}|M+r}>5x+af
zv~l5lCNqhR4*A{ER|B1uaYIOI3B#X)l3QK7r;_NvWn9&gzF7sAB{VUqQ5VHL4z@8(
z4S{R$q5y4=DhA0!e|c=IxAO0IIeiO;;M5+iFBq+cp_RVJc@p$7$@;dt(2CyXZO+|w
zx~h&RZkN9ZMgy$#bw44|X9V9ZHCa8MXrSYF&!shcY1r;%&g#c$0t2Ecf5;|HOw8OH
znbc0hg|DaHso0u=N=8za_jfJaBEs48NS%%{)<b(GvzQRnBpI{5PaA#HhFwxN&@pke
zuh5Ot91eTt@W?mmpyL6S)HFvrN;$Ynnnzi{L))b!_FM{H&~z{Mlb~aLZmn1Rf+YlO
zFTZKxqKnA0E7hZfhA+%p{IkNWAoRB)4cc_kNq3sYDNaKkr=HHAy#!E|+{+K^QZXun
zWuttuK8h~}g*RRSsB+p<yUB@)o%L0L0XbB(XIvF|L$e0w?3R=Tb1L>d;JLYF7X=-U
zTgPlGvxZ9U*B|^wb@6gY`L^H*E!@l5%C9M71IF#$7Kab&qPgJfy}7;`7#rPlhGnM>
z*p{!`DEEwlEQ$Jme?C{mhIP+&>!;X&?y<D9e4RSzV$U>mQd7qG!7O{%TQ(5%Dd|IC
zgEkrsPcVqJ^2ocNyk~LM27L5YDgtw~knKu(Ou!8(yhLGBD~z-O+E-zNCNE9o75QOM
z;xC3&w#*ZMS9&ph|I(WT77bKra`x@E6hvK_Q@3xj+dyD~orwAM6}@^`51)L<g--1<
zGcM)U5W45a*-54<D$QM5bf&Um@5k687f)-@_LiDiY*$7<JIkLVj9D^$VR=pJKY)+I
zA&)lCE8+7U%B?9KV`PcSs)^KOfar94jskxL^z#qA|5I;(47y)^a3#jV%gC!TrGv5<
zxTE`98T&W#w1LjozT*V+G`IP?W=f+~j&#NA3(e%1eptV1u@xBaZlSjxki=nMi^?-0
z)nqEuJY4qcYA|vAs3USn9DCjfZfjjrK{~%FOZzLn8j6_<&q}U|;z)T?lKP_pa`5|!
zCp(-hp{-Bv>x%(lOv(TEiT0(C96c2~^!b7Xq>3!~(S`)D;`Kj`%Ze2wgQ#F+G@FAC
z*QDez;KR6=|7pI`c}eyjIp=>_!5kd(T$j>&xsgRPe+}(>9ohA<rmB6P85CSNRmxG%
ziHQw@QvtHgq<01fmnkx#=uFUmOVjMgXT#N*+|@y9Wt(TG$uc4QNRaTYooslox$8_n
z?^p8K$IN}z;ijNDT0XDB%ZkC*s~aBKe<!`tmL+a}GJ)iCz5f-zT_*pu9-UUm|4Ej5
z`%kmkn82;GaqW-3E|O=aH|||f{Y|dklIB`dVhrYT=eC+TFObdE%IDo54w0AG6T06i
z8bkiWbeAg8d2+unyF#ztD7oLqmTNM_2s-3m{7zgoM;e~1IekWOoJ{`cz^B7!1Plp_
z`Fn?FNk_Hr#;<b|<n;X9H}^OObnPW&7C2|gL4MqGc;+9O?|aN>Hx~mW!jjy1+Gfa}
z_{Z0G@y?LCVcYjOCmO;{tG5reKhKb(f6e-L)91*5Ydu%E#0(+2_KNvFnOQQkfXgg9
zbb;)@UetOfn-2Ee=XEchoh3_?Qh#3SSR&>9zB<-Z>A>hcpvkU1M`m+84!U2;f-gdM
zm3EOd80?P^Zk?GU^|KFF-{N7zVq^NdC!1*y93);;K08moro1_m@E<##so<6xTH$a&
z>WyPRDU0Om*@VoaoSay^{#NZeWdrzeG%C;W!V;NX<ooD;DHjG@XQox}(uXmR?R0ff
z76j#Yb(N7kC?a~b{^o;~9y*hy`S%|S3JR<3-ngF+6Km6z2tGaN9IQ%qm}13;A{;|L
z@d8Ls3FQ<GqQWjMo0AX4*|A|f`ioMN5Zbu~e7W1A3)#I6{H!h<$i2?%=kje4oRejJ
z{Ln!c4(1!jT9k0&sfB|V+LlDI&0K6s=q&{V=UT!a>T%=L0sEaNkBZ~ha=)%hHwx4V
zdI&7G@SvP}aB!S}Bq}_7#WMCs2l|RH`u64W;a<<j%ExP@&??rJO)FgovUv;Lk7Ntr
zHK`bp+1oO>RnbyXcB2lAMKjF$YlP58CMEA|i5$j>57f5G=s;Jwd#-DW2$p0Hq$Yh+
zz%?O3H>zi~p-(dTl+-6tOuMD;ZD_R$B|ci)Js;PGIK|tAX9;oiIdkd2rJu@p`P0j1
z9Naqa7LD%uzm~vr!%lt;wyL=N)8gG8^OYVgUaY%*j}%%9I9ql+Rl|hd!xCmGI`F<R
zQu-lP27Mg5ESL@&sLpXya+?SRLRDUVcqt)==U>V0%^lQ4Y95FB>M9BpZfSU=uDs%>
zds-e;-PFc@oq@Iw*}6b^=l*8UNeM5Ud_35*mx9lA?S%uLP@%tb?4g>AGWu>lmQlUJ
zdu4mE<<sK&@GT;_Pdh;cBbC0mFhul`Wp>+@YZV62!8~L9rBM|(yuai}eltL!@;sh(
z%{166TYjTTT^*Mvnx9sGpdpc;ns8;D4#P*El-kB<AQ%1Zt@La<@^NkcZn&BOdv1*H
zd)cdrmlh3f^lvi6{0`SP-Et$Ki8Hr3fHu~pEIYdo7-GL#9s6@<6G#*;qh8C<K^a>a
zhaWBsWT+^Fpy&!`{1@Liby2WXv56)BGy^RPCeFBznZe9j2aP|hRP>$u*l{DAf%ZQ_
zJG1&MV1swDqZg+hGS}R`QK`Ye>~*Dn%`04`z8nwp>(WDhf4%yi1Vc1j6>i_yNWjdA
zHRC>^`nY{W;PB8bI{FMY1y8mDXdlROU3{;PyGws<u{uUWdV<S%cCj@yPCQRo`lgS^
zo<GYdT&0iKWS;b0-(v&C`%>O^-qFYS<F3Ch{H0(`_0E}`WgF1zTg9!Zs*m3H3t!uv
z)IztsRpnlXY~iio@v2wudRQcqeDM9G8kX0a2n|2Bh0nux?`7FhaZ+jjzuO0u(b7As
zdAi*eBvO{zD037Hzol?Ac$FL;)HJTMZM21<OS(%9(K@IRGxL`1vpDWJlzrAA-xdTe
z?4B6tS@CaY>gD(l0X%#&t|=zK7JAB-TeNgEG0>6P?3%%bYs27u8=ozl6)fw-o$7c#
z_|u*CfJyRM>*k#08#b_sJ1%%6OBJO&Z!^t=K9L2HJ3I}jHt<O7(593QWlX1AuKJSG
zOk~8Z34DLw8ulCV%dpre;n}APSAt#-62E`+Oz$+bhX4A#jizViaP(7t{=m!x;Y@0e
z-g*E~*c+=F^GzD>oy@(*z!@U?x8!)F2|%2D;e^MG1o~bGq0DhF5RZ8{d=4EW;LZLc
zSL+<aaQFDo-RE*k1cP@>Y3(^HxNdJR>3>}q!$)MeMJ<+zoA{<^%bnGb#~;r;ufUIz
z>w=!X&s`?`LY@|m)>*=5vCZW?+}v34>aZmD>185*&*UeTDGN}mq()46v14JBNYq7+
zWumUh@un@s0(dN*(scw_@MX}kpEZt4L|@|Ft!}%`;ho31KNgHRvQ@9|TV&88;rOIo
z;7NfQjAoj;JeZgy(=rmT^+zob^P<j5ixW(Ubr_l1wQiL3N*246cxj%<8DF1y&yET8
zudPU3mjP1Rc0`{4#T;R-n8WnHY6_C!T8F#ld&uuw>`Q(v%@W}?6CO{dP2k-1#@eo_
zR#Ka5o3^swEb;GT*H-T>CZP4WoO5;KD^k&Dd-luz8Dj4#ayJJW!;LoMCC>Kq#2ItJ
zB%ez&glF@b{|@OI!^1nQ0)%5V@l7?XbAQMT(K2#$U*J_E*j%yem~><_;XM1J^zMH%
zMDhoV@1(F1oWDBnGbQ$kU>qNvC+^P>m$hx(*T*wpV^B_I&)FWrHu9*en$#@uF7-P7
zHwOcHs|Gm@>wXZ|njW21E1o6pkh6^AXAHsBltb<K=YAqC_ics3kvYPP?_k#-UPI_x
z!)!_X_?t*hRMZm>o+pBiB=D-I(jn@RqM>N%5aA~<+_*k-f$&-P<-3Fu9ej2Ql{Lrx
zC7k4sPj8=HB$&?OrR60wfXg@E|D=r(2cu87Y)n}uVr|=&{sC=;4|5x+x5tSWqcifh
zWh@Z9?t9(iQUlO`arBVB#w0Pu^V(qHF)M7hnW<{%(}!yuzIz{3{3GZe5)_lZvVq(V
z8`4ZgA6}nij||*4P0$6Vnie%Vz(;Y8Uv8Hk9J~4P-jv)dk)P%2k)6f~>Jx9dFW;vE
zV>$ae&+Hs=HMKKASc@Cf7A21ivQy!?*4OZza|?vUcva~7J|0-d6{4_XyDpp%k5C*{
zTP9?ue+*y$zy}d7p-R55DNwoa;(kCC3p8Z<gx&uw0AEi|lfE<xBp0B9IvX2o5)^NZ
zHWP-tAvfXWJ34^d*tT=;WCshWk|Tz_A|SK4-hEk12kcwq+IW6&K!!`p;u$+J_*ADK
zw(g-e_@CC8c0R)egvY{K(>igmpOg<>+@KBfFJnJ5HuAt>oo8h~LL^~eB#-~lgch8p
zdx%<E@qrFo+c&~m8p1EJ<XIJHft1=;>MCymC~9h=@tMm4b<{K7<B%3Km>k;oqEHAH
zW>@)6`^v-r00030{}h*ZIMweP$L*EuJ<qX^b<VN(=Qg4;T3Sj<5=B-bGa^#bq6krF
z_e~mPoLf;wNh&Lwh?1E-et!SHujjh%=XyW)^}Jv2Rl7yc<;|*KLs@#rcS8WShNV^A
zcrFWex;XsHR23S+q~z8A34;9R1KH`)B#8Ye!DVf$3VuOcY!v~*0D{#i4k2X7|GDT{
z?yCw@{1=|p@QDHw`}*GTKMFu7MLfxRr3#;@`Kc-mVsP|LtW`>c5=77I%GD^V!SU*h
z>X1SSc)UrXIZRmv=3HEst56LBTrM10E|G$WrPl+(gQ}pDUhYtyOo6vM*|U9r$-t_z
z*kn{G1#FJj>L0tN4pGhgb!BGq;AzLryDe7(-YGk(Pqb>lv#ZIMM%zhnB*@xH?}`?5
zDzYZzAJKwmFGd23)D&R&P<we&EEO)^J63oPsE{3FcjaNcA`k-SR(N01;NWD~AI)MK
zd^lQeQukL0*5BVaIFw0;yC0^knwIF`<v7vP>ZSs$J<EA6{yLC1pS}|3rwc~AwYzP;
zs=|`D1ACgXE{JDo$ky=d1H-HR>N+b599<@9)E4Rjuj?M|`gQ{_)1aRzzN-!!54&^}
zaqGe57e8)x))_&YTeeEVUk!-vyIvlppa*B4nuv3>n85LjSJH*zS}>}wd9`U$7joL)
zU+tMRgPYVk$-lzdFw}lBPV}TMc&nT!8{i}0Ap6DurB-dYnVJxjdsheE4jA{OT?Ck2
zwY0Kup~7RPI<wbj>F~Sl{5|(*OStgFd7Aes6+(-A&i|FB!6r{v>xa9nU=!*UNrzDZ
zy$ZF5Cp4k@jI2f!k2SDnJbddUKn3Nnw*SO-Q{Wy)urE`pHFOJA+}7Ep4Fox-`dhLx
z^lsC?G(Tw#gSpb9BU`mV{iwL%^>Q+t$(-cmSF(Y@=#zima%sZ$=VjAvqB1}#{lj!!
z-3Ip0IXnzZRENOfY!+sUC=`wDN@QDS1CPvTyha^rK+|igQ>j`HI*IVxq23zCw@5V%
z3aCO+=C_fbZ&={<r@~0KKx-IPKDw7rR~e=?#V!_PO%i-F{x#+7)}VJewtcgcB3x8&
z6l-bzK-@_6&xpBb1vWEv`Sm_z$owO|aR~Yu4vxoTBi30#bPsE@thPLyu*=li7&*nr
zRpgy%KW7PZ60i2&xF-!It{s*)rWP2FWy8MJGFw8f%z^tWTO{B<^S3r@8WT1ci!@(~
z0^q4VH=?2~3PgN-YY{&So}X6c-M36Y+SD;NMOz{G7QXpKvK1>j4heIUI0&HK+%V>^
z%MV*~cV&F|%ZkfcCO7s;SirlOK(@SXJn-~gq^z?(8-~bPXS(Q_153`u@89~_K{ws`
zhl~yz?yuYGy|UK~d;^)!H4iX@N6G^!rzKV#xMC4Dm}m;rV*x(1x0VR&q`@~01+3`x
zBCGcjngHb7;xMMp5d1PfRO*2hg&7X6N0>~2HgMoBThKV6xJ+iZZe~Gd$_=F!J7YLN
z-Wxamc#xROw_Q!~XTh}Kr(5@?8NqS?!n@N7KM2kI5Ai)>EXXY+6zKcg5ZotTuxr;>
z6Tc`=kL5Km<5*4a<-4|qAVE7lEI#s>q15WUFmj6-9WHk#WZW}=i<6w+9CI5PuReA`
zQ4BLab1po(y50a{=Pb9x9q3@>`-T-#W0{dPL2KW|)B2D>B_~D2^)vpxr)92WGoyO$
zPFKzmJt){%Q4s9)i_!M;z^^@R%*ZvlX&T)0KxuG)wcErWMu*y)(?&Wh__Lv(U${*d
zerH=Pwxo|UmR&;=Lmsjq{Hc^VxLX(0^R(q<awi#N1x=xmwfFK`eYr!ZT?Y<ddKg2w
zG0m`iqv#R1=5ye0n~l<kbbzzT`U7X&3}XlDqg#TlZ0M=4|0?JY9bS8=&r<#77&ZG{
zzfU)_W0yZASvrCa0{(l$?z$~7+-k<}L@#h)RR0lUDFHg@&m}!&*}ue)Bki+rw&B7d
z>MKh0eHw7w=X-wV*b0O3#p}!7SKK)AsNkCW1{&<i=@b02kqOU}<hU!hufq}|aN^@9
zDvb3RZ;d+6j7BAQ)^W<L$KsSTy?#<_|6;eFr&A6Ka?1Xxni1j0;w6?Sa)36-n}@g>
zjIg36`({n&905F-%@P>cqy-7md4@U;>^QY@Sey7Fh@nq%){7EaAk$|cXJ5;K*SVjn
z3CIiM&@GLmzSo*Sd7EOF>A{6RVx!&{Ul2i~@6P02b4@rRTd{o?nFo)0m)BcLis1lL
z7pr}f284QLR3Hm4W_5mXsH_!78EHlRv{M?;_(GM#n3oUB{>n)>-j+n)Kd)>eH8p@g
zE861*NdVnk58C{?C5@je|EuSkQHL{fj&hf_3*t@_+1tk|WigP$FF5_XI$Za%m@mr`
z!h7GtEuL|a@QgM;ZSs>k5Xx2_&8#9AW}lnsZ%am_y%T+wed>UmMq5su6U93xmu<B&
z6wr##<)wz021vRkOA4xr<LSpcgYU5_;T^_8)JI<p*gsUP-8m?M=aY?7Sz?t@KG)p0
zbW{TrkHxsXdM}0g2Qs%`7gj~zNg)%~Tbd9X9xb%+UIr6`?FJsdR71I+AxQ$^TJZ3U
z>y3Rwa_CSj{bG-YI>vO_SzNiM4ei|rDSNJwFuz`fOHN7?8~1$pNQ_XS&E8SUrIL)r
z^%4oCpS6(OLMhw)mIga~-*62qD&T;3w#!&J6<r^?*!@>ThXKJWDZ4-k^|K_!9-OD)
zQd&T*SiKIMiCc*wUr<K-?V-NvHgt4J{?fE-EwAqWGqS$lqJj<4QU^+Y(osh@h%)M{
z4>$9onrS38^u6kT_4^SW42ToGn>u3vtZ7mv1FjUD7Wj|*L8%VjD!=GCm~8}x-+GmX
z64h~X-HGhmT{^h8=GRfSgC?NYz4`K$n;K}vDwR+9po1G(RVU(UX7EYCR;c!@CT5ov
zJ<9OYL4&IsPp7k4fLuo1?MO>46jKnOaDS)c)13OEm<9s+4J}DlwOXiE8uprdj)r#g
zUWG3i00Aw|=2ODjs7+!EHGV_IklOFDc5#;QHDdhz9vN-izu9GIx1<*S@M4-Z*Ivs(
z`6vAkyR|S_@JJn>vN{Goj9b+#wt_r;r^=tMS_q*B>zn6QaCT)2N3fhVBzRV`bf#-!
z>=v;?uUCp_*T<)N!Oa@J{d;|hCtU+Qa(WJrg_3adSHG*v;nr|Ax|)l0SRK<dPtfLy
zr7);dveV#{H88Tm_<fiusHeA=V)|DEPb5jH3T(HArc&P#N|Y*!9W;Avc9<Wh_RW0V
zBw`KQBfpn6^(*7$T&X2aEe<Tq?K;N#)(UEUtgX+QDWSG+_WI_lOALmYl9}y6D|jP#
zAU*bq0{UsN@<%lNWu*8TZ+SXp34DD{5@RDI%oZ$=p6P93Z0A&L(K}-aaK4M3d|M8;
z4sY7X&G<yDEhe8Nw<Xl<9K3%0yfkjg>2mn9Yk+8zG%D@646u1L@{nVe1d3(Iwo<;0
z5>m6?QC^Y&do;Lo2D?S^EC0LZXC{+`vVwQ`yd423zexJzEQ~7Vn`i&HO%wG`&T{>B
zw*d2kiZAKQ0yuxr(NG}mAMteVAMf2bb1?f`+EeplJ^DtdX7LEk5YAWg<uad`f#Rdq
zD(W|G>{PvjX3R5$OT+4mf1ReVHJ#%@$W9KF+Rn6EasD51v251+ny4xCvi#vYrpt=^
zf0@ip*G&`VU1O*8oK0Ze@pHdsjxu4K=QG}oT~owDiOG$)bYm!-*?Uc@ZIR)5Kgf5i
zWs=xkeKJe+rxBDSmTajyIm>wP%QN`phY6y6>yCLeFaqtnzoMN|rx@NFm+w3)87ICi
zNm$J#8-h(BN12z_ID^%1+@#rejK~_dy%#=W0H-<?e_TH}!l)^p^&Gu0N>sSW%rZF`
zKnvCS=xfEFj6_cLP3_IUiK;k`iVe@#I8)x2o}Jvo2;C%LU+O$Ucrx2|^2zGMm%XyQ
z<w9)?g+$$*+qs8{)8v^p)r)%YJlxnenX`!z^<V$>?3p2=g!>l1`>HPJEFZT$^yCBM
zcj8uJpX?C9>1NY=?UXM3iRt}X6H~(AxZ1&SG;)yWT3nvHF`)yEC(g2YoW04g(03{q
z7aJr7-ezPutZ{MTi%#b;*8*bfg4wpn!Jou=w^8!7Njjt-$`0qMdqYTnbZ5RX`jgO4
z2>0C*N{0u@F<R*{RfLZ1h<&8`AYoO*opqF%4nFQ7DqceM#HJ;MhS<zO;uv3A@w;Ri
ztUFz65|G(QbY!+IIa&`96+(&;j<Ph!&<hvMKL3@ljA!f~mHS1=h`l+~<3@!m$NYZ>
z9%v>ub5@2AQHP07%9CpJ3)(O+I3RgOwT%$fY=Dg+BZNVvU50m=7IYn)EA$xuK~VL!
zcR!l>P1NS*ees&o1Oujk0p_YM;x6Cp*v4n0#5MCv4FWVxu)VqTY-e*1(RQ(6dcI(c
zFrK%{vJKRLPth}>>Mnf*_vYXz#j$b1_t53k$r5#lwX?4~FxgMUhjWh_YE2TKhItE_
zIMu<pNO{x8yFUrz=wtb&m#2sh58uUudnvH2V(RY_G(@C^yS)&X{znKgK9jf#)nLn}
zn|Xqs!^H5I!Y9QqGem}li2V3^HJEHx?bV9;O%$bB$!NctBj|k}NRs}l;2y<KrPqxT
zl|5B#aSaQEAKUx$Ni8anAb6WETydNbGjRR9D7Q>l-_IbNZB*do)?A(5s0kwSit(n^
z$E$>K=eY6ZSITfGs$}x<!X&{w8Io&HFvBZ>S#J+*W%%)phwFUCG?AnmG-UdT1?qm3
z^RPcwf<^Jki9q)mqQ<Z6EJqw0?AO=ze@#__-|M`Mt9Q*2MZN<pRYy5s_j1yS?<I=x
zWGZ3GGGc)^-}mX=zX&dvJ@PR0%VtHm>io+`wsnd4mK#@fp@s*3n?|Oa_A3BM`p7pf
z|5ai|^qj}=mi1sk{}J%vtOB^#Hf@ztW(JnwMfyoz0Wh4raBPQ`0=!7@RI7Z&0uovr
zSN>cVgotw&w@mbqfvKqVM7BR0h$U1WWY`Ep{SNs{<G0CB8bYML-o*haBO!&c@}h9c
zb=|g+<79AnkeTY{%LRd#cCgQ>i9=p=M$u<mGIY3fl1)l@V8PovcG*J`7Eh6k7j($*
z;<KHrA+a9vUnK4bX^{s1`%bqlbjk2#>&g8aSOnmot>ty?I62V!<Tb-=PllJ~p_d#J
z1YziHjM=u=Bsir!mb*2I49AV>%)xYF$UpG=Yrlg6^oX7hnE65mO|-KNVHJhof9a8}
ztV%GrVC|e{uK<}8<-OypV$hR$hjOVy8Me*7)L={~fV|gAun|QP?kFuxpJ-MEUk>WP
ze7zz(3pvEC8zT)>mpikrj!|H9*)4K?pAuABtG?&smV>|7?rd>T(uCxWs@NPt1vZWx
zW(qq<0^w)uVR<LkxWxQgQ}&;=KAfh~`uQsv4k$8b_qx-d@lSW7^)v;{Zlw7C+ph@u
z3mGd9FVUgL;g<EsgPL%mIW>nguLR`y;i{PDI`BcYgk_5<6=+QrQyh6J@Ws6}o1;n>
zcJ?TJgbj4aee-cBb+;Nso4t_8d!+}4_txLLs-_E3b?3@nuTzK86vMtR;rejp_5n+A
zTYXSJ=lxCh)f$(jx8WOB1Mt7cAAIblA^ZrtD_Xu;3;OqW*1K33!1-OIaz9ZMm~I_R
zvMkkxvsSkPC1nj@$Fq#V#<hGYo(VjgG)DzLh3JrX*Y%;-t|3>_kpPD)r$%m`rh(+W
z>ODEP_26Zh=8c`B04_c}@BA8Q;Mh2M#E8&^!MM9-jj~p7`lHlD^E3^9Cz<Wo5=jTz
zWv2v&x;2<j2L&>I(V)TRjM|<SZ7_6-PtNDE0T#)f5wUB$PicG7!M8yjxNhw1qW)(C
z2@c*AC4CzBiRaip4Oa%{_-zF`QX63M`yr1cB`R#&M0?Egf&`8I!I^WLHh{{%(ybRR
zXaVlLR9$Q(0a$$V%@3;$aQN$B#jd9sz#?2(*7BSmjycD-+VgIJ_#JK)O<5Fp)cpP7
zks2m=AFkb=xHi`|DAaGuaaC~9(K@!7y@$|DnsnT6U;{~dLEf8Hl_6A&h-29^!f<Bq
z*Ixh78r-$)?BaS9z%JXb*<NFX(Z}|z=8=#!IPTa%1l%P-k%VHK_fvMfevMV7_>>hK
z`0Ud>KP3Z#+WoSN**uuW9nvNAV~sZ=FjT%p0@@nGerjm&Va@#6%_M6}FmdSNIJ+PM
zO8I?*Et>^!BCG2eM<D=n7rDpYLl6r4E4oGa1ku*DQ~aMYz(a?2y%cR;NVSNWO$rl4
z6Q;`OPc{T7ZaDUjrpf`HJ8tcazbClHpYF{i4i@nD;t#_oPnjTNWOv{3`+^vh<Lf4Q
z*c|R%65JIOF-tgV9aR)g7DUILaoQ{iW+0RNcK@vID53oz;fK1rAhL|rn|r=C1umyv
zx3qKZM88F4^-H=S3h-4J=}wt|*P~C9XEx<9meiJWBUuG8-OfVP)7S(aTzcdXp7VoY
zWzh69qEi6xYjn+uo;QZ2B%hJr_QMQg^73ZWDgi8tFrlCBH3EtJ-o@QtCK&e~S60fD
z3gB_Or@@1kMi6DXuH#4441;`9Ch_jtd5?FG+rK_AgfzwOH`A31jP7NHR|S0nX!zjl
z<8Km%&=UCc<oCxbjK5`ZrBPyncum{;YuY6PnDq<c)>UIh1D7#^a!3$U=JHH?cnm;k
z=B%k=7YoiOiN84VP7s5u!{aX|>qGTYf}U?Q8%7mt7uA~!;ogs_<O^c@P$uuU{6vTY
zQ%-d&bu<d$(0`wYJM;D6nNz^vToxxTf85%)K2jKS!@`Vjn(DzLv-;cpD%|Mf5qYZF
zN(7IR{m*o@=z^=bLG;z<Jg8S6eEdHJQCv@z-8dMg3tZ>A9ji9*Vnty@poFX#KKM%9
zo>9^Tft7aA&Vlt9AolKBnvOW`e3#Je)vN=9%SoYQ*ZA?6l3&oX!xCr~l3Vd0MF*z)
ztpwd431Iu^zRaO#k{ErqGu>pH4on>94)?n$h!F+N`A?;!F@~}-^jum8Ob4Cb;#DD(
z=(m~Jmn(w{Gp4UA$LOG(VyplCmN1?$y?9?@gB<R7^g)!`K!=+m*%!H9ieUZTJs*Fv
zkdW>hWz_ka4!=OL_R<<BH?N$>=m`?Gl0GWeKB2?bUY#0W8F762LEfTol#Ia!Iq5uw
zbf6fhI-K;8!0tLJW!qT=G!9~V*YuVS?b|1ewHqbz=3vmfGrUR|GT!3hJwS(jY9p=R
z?WD2hkg>w3##+zQDy&x(*MZ-Gm*y?M%3$*Txhp$%sNhiI%9Q_p9mwzM;QtaJhyM;!
zPBliW;vOGmt%8?2pvzNPttLo97dQUF(kE&dZc}tte9dS2xgpMzYxjP~m<+n!N<r~;
z*S3${*9Bj;JKMrq$ylGX!*YB<9fuCTy(Y0i59HOoEF-EE@Lpu8dnlhKT7@Z1%FpY8
z;>7;bM3EvYPi1VMTBn7d3^S|+s`Vk&?Wh399VJ|ijY&KFTMMta6)o7`H-LH^`<;}m
zj0Ja}g%Ww%DB!7W<C$v+<SX%V?13sc_8)h6wH6hnmOMVLJ~4tEtB3x2_NpjnJAday
zG!-qV=iMIH8G~1@%w(vD8d`4I{3-kj6(3P^eTF7YAo);L<xGtl{@hf$F3pvS8|f-B
zvSc&(u<5?=`@<Aev{~JBvRfO=m~OrN>|_pshmQ<v^-$32G_y^Rs5biPKMebN(gF<M
zkH`!ftD{Tln>XCdS~z2)yZy-p0%~1PUEAlYj#b4@yIJpP;Hz;f5|iy(Z?c~j84pp%
zbvcX=0sQJ1$8C{(_BBA=q1~vxM;(8fvFbW*P{XGqHRW;QmXJa9e)f00ItqGw-l^TG
zf+mmN=5!slgcLnqb+-%(Quow7589%Hc}1gWeajNm>h>O3Tvfxiwv%^gmI~+}pXa%`
z+!6@?E5AIg)G$HJSklUvgj1gEsfX(<q2X(bq@kxOX37{mZ%LHF(z#AQ#yd;c`YvnJ
zfBq^s)4CFPw_O6qOjPxh9$7*@^YW39qssV5&L%`BR1}w9CEHfSTEflSeN8*IDj{3)
zQS~ezA<Q`Zv1!b~5=I#Gr~#TH^3&~@_#^mH@j5yv^IF2-#<I<Rd<w|S5t!rM!GnS0
zsm{;e0$3H~tiB#4VfU+LM)nK`b_$!M6bAxGn##b(e0f|fIW3o1$%+wk7W*XR00zIl
z+&LC2i#{33(mFI|)L;{_`gV~3krSDPk)hI<e=erI#B+sln-p2T)Mf#@3(qe%CQ0Iv
zx2=AW!HW!5FX_fAWef0~4094J7f1Ev)b&h0^Nd)-b90{q%wb^_x9k!W!z9<ex+Cgy
z3<DDD-u(<SxKnU8>tmt_x+txlHcXvm)V!bg>CA5i-Vf8acPI+upTECaK3|??m>o6^
zcXv01xBR&`ocaWjHIr}nE5{r|?-q%9vDgGcrO&<ee<y&~;-(d!_0KW>osh6OA#4KG
zcjn`dUgXEynE~Ql;tLE<JHycN0Ar{o9!^|tT94cxJg+8PTVy=l(0TpNHzVla$&@{@
zix-DN41@BVmKjTP!;Lph*Yp?S5rZP@kj8#pY%i=b96DOBbQc)HllY^1+jw{|;^y&$
z6NOB;z-u5MEoKOZ^d1-)>2qTw_v#|GjTr@JQaz%Q44~`lN~H7^F4SWA<?SKHibH&y
zEI(Nc0PN%FP10Pb$<Qe%_hQ504z8ZEXnk0AE6E;h;>6Elnx$77*|AHqGC-JFAH=ti
z;y1nE#BTw%{8dhz_{vf4!@@Z|=&sBT7p&mKZ2`IYg#%nD&5$^sB&Y{B+v<d>{&J#E
z@i{fpbspqpa+>bR(S`155ly`fT<F1l$(icLi+r{@y^8v}pco(jGZDG4B=eS?!$v;r
z=o1-^Y0!a!vc<z@2f1-ZYNN0)MF2?=x9{uv>cBdi+-H(XYd)L|toTB#<@?7g29bg~
zz*&2t)|hu4Ub*S`?YFlOlK(KO|0|^f^#%9Dsst}~8$GC5yf2JGO>d($eCQx25vwC=
zzaACTy1WWj{=XOXHx4P%Vb9Z7EADssu+v4Bdd)`+(}o&Tn|o=%?VY;woS*>ixBpY)
zJ}r)U>ol8{*0?Z?l2}#rQvkbijdkwcki@b{8@<(2G;l3WxiQxuh|cBr3vstJ@>~k}
zth<E<(N$MV$qhnyv$JD#QePGa=CR=^od!2{lIvIogwZh|*iu<n9;Y2s<|E|S^pPXg
zK7yi{l5O|m&pi@aY^4u>lBB^A7KcoQ-D2n$+1JGUo{R&0<fwmS8qglSWvzcHj>C0d
z>iwn^@Sp%i#mATi$M;uhc56u@8|Toi15_n^?@!<V=@1QClb-aYGNjOpPiDbAR2i3!
z`Q(1hq`~aW`~T{W$zTZ&&EEB+3U2L*WZU*<ZEnnmPd(alC@{)1vH(&*t-n)E4SUuV
zDk^TLLjZ$gb}Ksxm#XW}?n$JeQSiqIaw8qmjz>S>T_GWNd(*ycL+W^i81H2B(gFWo
z8;Svw0!kVGyfbd0iH4#J3%1g_pgNx`-o~wnRT^0-=?PkxlUjRcenb~m2QH9~N+{vF
z=SMv}inUQD>-}(QiykbB%sJdwQ^xm|(uJlUs7OvfKVH?N4{l~DwuJ^N=)H-%@RBnP
zs|-9#mDvp;Bsl0@pSda)J~Rlmen3M?^!*A^D<imQTb}aINDXx(S+{U?(6GS#2xr_i
zW2ne6@)uK}U^|7mF=L2^VWjGk)-`VYVJW2}GDX2VoNgO#f1u$-D{YI#eP%GZAvHE9
zUmaa#>~G4Prs4OO;o@iBnL~iHMP9D11~Ro}MRfn8;<|Xx!>nWiwok3+zI;Oin|q0?
z8#A>rF^tP#w?07ay~*m9j~ZB&{I;C<qlqs^o>Tnl0fayJMd&ta;6yS#TX{kqolMMY
ze4H%d%!zkl|88qw-rgC#ZEw^t|NRBNiZ^R|Y2SjLnFc<#W$-TVRlysE$76cdTR~f2
zYHn+RI=<~y>gelNL^f|5%OqPXz}35?h<*yPc6@sL`ZyW?Zteb5=wSsCHfL4zX4UX^
zvy^!hryPELBl7#Cw-xMhB6%47Qbn2E%zK+cBrzyYt7c%A6*%vTJswrAg6bNl&YdJg
z(f&O3SS8g88Wkhhw?!#q{LY`>Yyt$)@WkIc)LBd5TVxIXOIN~22ZO>Aw0Ln>*}eaQ
zo>>C<-OM@tZUrPnE9jG+9B88^U;6rhCCDmB@p)b(V`w{5p3ntm<k5Vy(#y7%v!0Gt
zGZrLN_`X^&C%woJeDQ!gJRjgy?Dm$~8CfiF|6Z$CHqBU6Dm!q;3V?m8L&EWbH2#fg
zD;`Q8V`v!9Wyq8fP|o_UA{iv{vBLY13aeiX)e?q?>ZAn}21z_%NQt9Gnq9nsWIv<i
z*rQB$iUr&%rSOEyh~lUPd_I}d&9G!)s<l|_DgOfi0RR6Cmv=bTe-y{<olW*$*Szkv
z*Y{jBL<totqeWz7L_-mgR6-F7p_Gw~hBEHSDEg%`%Sc%bscbTT{yoomKF>LSeBS5v
zYG*#_B(p^bz5blAkY4MfQx<2hRoyXznje8_%(n#4PpCMcdZw2yvUkg-&>>TZ&}9&L
zypbQzerPCtIon6?)T<ZkR5OJs&-X8NPHw=o#tzxH83Xi6naaCdp(YSx(Rdd&aHHa;
z`m<x!gY>-zdGbk(#vs6OKdWbq1BWxcVuI<z^g|D5+FIhqAlUroK?e^z=8RT^5qG}P
z1vY1ivV<6cO7M(AR{$&S)i7T^+4hreP<g9AwapMRLQNRX@UUS18A;wA%inZA=E;w*
z^bFx0bHCQ9K_;vzE0hQhouKzHonkz5+W^=te4HwOGNMw@$V+keDY~K6_{*Cd24E*N
zqF^u2h<>p?@jm-!=vkbyLae9s;kB0h?w1!BQ0VdNpS=Nd^nUX+ozmZW&~f9|?rwet
z+!4LqR5opa{=!{t<-C_33=Ldh3yfW(e>Ob1{JUe3UOwyK6f#T&ds1X(pUxV+Aw0yq
zUwwr>+4ey1)L|-EJmxKGlv<-N?;X-K%U+|42lMe<`$>Us10I{Jx31A2ZV>y)D9(sY
zI<fyA2U9@%x4|p!@-@2p0q^DgCzvqDezW1knl1#F+>GugF<{R7pX!glG2`<9=4{(!
zUEm8)J6C;^0Zk{=mzx7w(RI(#_D?FhklqxR)V{v&$;|y%(}dWObH|D3QY1rlarQB#
zW=6!u_^0+=92gN}llsS<3>`K%1z9dLp@8avIkze<<c+>>RL@9;ccxYDg2$NA@$t<E
zp2&lbOcwg89d)3mv#!|GhXt+kt=2RqdC@&sGlsQ98+!e_GoQq<q6p7Q%Ax!G*nKLi
zfPr5d)_BcYmmArz+xmn5<39p8>`>$r5UB;f<VU^Rl{ru&GQGQMrw|IoQ0)wtG~s2(
zSy|&^PBe~`@-BZbj19G^0YMiuf%nN!SdcR}mYNxoe)x+b=e`Za-cp+2kUfhtnj6q?
zOMYH~mKd(37{ui^YC!MaQ!WA8e0ashXGB#%0;Ts-#(tgC03Qc;ZP!Qq=)18sI#xmo
zDb{0`4sO?gNX5UGUA_w7Ih8JzY+D)htrIRhMOp9fYGka`5W=Se=Oh;$<*;pSe>c0X
z1{A59rhQEj#sGywp|n(abQLri-eIQ!NvUph>y4rq@g`=mVO#+xr@48U<267x?l?*E
z#YU7~*drz9s)XK=WAAqS&;YgPxrQDQ;+R$(`FC57G8)f!yR`*r!tsoiT@T$Q(c?vZ
zmB%qvJn$v(*A0>u2v+scqz_1=cg6#&qdX+c<KN=&PgomT>Kt2yV`P!-zG;kXl{&`W
zYHm+7)`9<;P9C~6D2H>uyR*xWYU0KJ0>lD#kfBJ};Fd9;0-Ak1*>_G<8^1|jPGMEh
zh1+9p3OBbZ;?ZmO>VH1d!OyI6m#W1n5d7*9*MA90=ws%hoPCFk1vdu=HyBdkHQ#Is
zPrEYK2-2^(I_jcdC5<8Ev>tpYGaQW<SH)N9z3QGnb+O*{=KS1{K3om@{B6%ZHLT}9
z`oh+Yf_hDw<6ZuSkS(E>aW;vBj`wXJT)am?U!IzOa-zoIU~~Y5%GFV#Uts#ra|*uB
zR_%`LGyxXbZ70t?)<9Ae@4lq#6!f^k6RebD2ENUPNo~oRn7`L4{-PEIKMkCmWbw6t
z&ZdTs_MnBv3B_LTVs-Ii;;UDWg#ec1hn$$Jv@qX^^~zut8TAysH+zo&=!#~b`;-=@
zh93)1nA65%a-Vov?$97fXF9%fObdB-wf?BL)5L!PrGYfCgwq`v2e;>F;o)C5@&=qq
z7*g<Yt07v#->;00$N067^OK%)7gYsmC)u~Zm$CvyF8ao+G))YSmu1gbRX{IRKIP?I
zR&d2P<XDoC2L95QV`eUr#Xs#Yj34<}LDk><o%>fvxM!n%+pjy~==|g8n-n)I*!t+m
z;Y}H8_`+4FJc>&gcb{O2%h0oeE#Yf$P*fGeeh5?FvGJmbf_m@iX-jw`{U&1coH8nz
zy6iq~#EKX1U9F_#Si;e=<Q<9qirC#mF1qczM3;Ld`z_VX5^l;jI+_?MpsnZtwW9Ag
z{ib|gD$55NoW3bYzMUb5CO&U$b?rLn{^emu%-m?u?PT&$omU36q3dMsTr(khW~ylO
zcYs&qkzaecB{6-6<rVs_AtH8<#rHGE0XzzKDbOflxYKDrYlHePVsovnzWOWy?w=Ss
z7cPpRd~<#W_3i}mwL0j2{00I}kdEEB$|r;oCg<N3rA-lR5yNfS8WtdVdduRDH~h%J
zBr>wOV48T|#5d=-(;UhgD6h62-+)~_rD6wIX9zW-t3)uu45mXmIi5Y@M1keBUF=_`
ziEE>IZ|6%*;ek>6^Upijus7ea#MXJ5ux1=^82w=aYRj4Sv0It(OVN?rA1_Z4dz%GV
zvPdRie`8FfER6x#I@5RN-k2l=pBemncib3Kb8i;)9a*M3t)3n$zA!=1LM~F2>WpB!
z9c!nV)&hOHNk%5V>krY@{QAr$0VAmY@#5~buo*hF;fAp1-El(6$?obGA46!Qja10#
zP13_Y@GfV?jS=H?IoiF~2Jqy1^M}^Q<Mdk%A-A{1{~)9l$0K&C8-SH`)4xA2zSAYf
zZhDuLe<S*TEN;z9)(5@Z7R%p<hv`gR*3F_EqXhHOH@*i~^q|JJGvti<7kc9Uu;lc_
zVWMBZu+H6I4?e%OxGPxli7s>~hVAO+A;NkN!+i&-pe+*i-}aeyy4Y!>jY8x>B6(cO
z!_AcnZ$6Y!wI}|ge-$5g3fT6Q@V)&-R;Y^t4?|M#eK2aEd$3dgD^&YJ2xxZP_uWN-
zC{!$TQhG*j<wL1`Vgtl4-<j-9A9ca<$COQ&bw1rrp7TwV=V#)5W&7+!H(i*}-hALM
zR}3N88t?IZrJtCz5W2MSI~k7Dx_sQcyNEdTD1G$Tct0UCU;MEzgbWcsbQUz`o)VcM
z)Rhp8&qVemy_Q;LGDwBmG>!bD6C84byjIUX6ESbDGTUqEfG-FA-vXtP2xuUy{7W1l
z!gjbtbGT~5UIp(Vq%;$5nY=~w<zI+YSLT~h30m;jENQWs?=7L~GBISB^p$vDVO*K~
zQWH*J`I_F*_nw%^SYm$WKS=yhtCJI3)qs8X65eKYv=Im1?lcV!9wOdeDPEc+G$8*2
zJvA3Qh}6i7g1tGz#0A%vhHG)^;OKq+oOVqYap-bTa^L(2@qNIeOumBz|LN_a7`1*R
z79!_rM<c!w%jYjznk$h&tTC?e%3=@E=-2r7ukH^*cgS(Z@U$Ad)n-3DwXL5>`|;KA
zyu=t0E?up%*r^J7KSpdfH4PAvzeI$dn~W2!u0o#z^i*MDw9mn&>MOxXvcBnh^AB;E
zOKd(ST?KM$?I{xKLxf?ZeE!eO3Bu-H^BZ+W7073OWiVGgOq6Y~*+b%;B666;LR<or
zq0s!s<XX@u!T)Q+{PzdbgvH;2i)>$&;F0N}#KN85iMO9m=<o;55+wGyUg{nt@HM??
z+OYp8ad22%j`heqv6eaOGx|Xhb{usjC*1l)SQtpTKD_piAUtx<tL{{U_9YCj68u9P
z_tu{{H?u^1;yt6n*Qo%?1$=GW4o?t&JGDx$WULaOP3_)R?^l4pbIKMhLzBc&qcyoV
z^$egEUl!;(CJ)tbYbSQaO%pBqsKsoaOmIW^mWtw8d0^!}=jyk6mdHt6Ex4`50-UKw
zX<j1oz~Jn6^1IVKamgkmUtFFI%+6^_##PF}d(OS%eR2PY;#+~gB6o1We#X{X1{XOn
z%e!=RczTIgo_W~4{V5lePLg6nndM-YKh0e=ca`{4!8RY`z5x_=Jp8`hUlzRLv^G6`
z!vNqFS<tD%5BAAQ-^E8|U@lE@p4X2FPTzT;<<%qrl9O_Ag~w%Jw$#hA*oXxTk{6Ml
zC<KnyDdoe0G7#!*uzyC64HTYkGW{MW0^&~tx%a%6hSI=UnernXU~(*XLAYWg#3!!8
zo+4@R?ba}6{lEp3+?}8Dge5?>#%fHhP#W$oZg%lIwE-&k)eTNoNWr-OVTyLUG~^^*
zYyC*&hm!V(Tdk61L5!<gT3Aa47_I-r`Fs!nS;El;UFG2_x9^n=4Kl!6a$7MXRR|6z
z*zE}CRfLMM%)i_@vhaI8(o}qXzN`PX#SDH|f=k2GvrArbz^GwataxuD_zCSQwfm+5
z^C6nnK|1nqeXg=mV^$n4zIqilz(E4`N#2twx(ZO;6ECZGQVPmi%KGKkd5)|#zn~MY
z2>I;JEr)buA<=Wy;!LR)q=mjCDRL`A;!vrd!v=Xcww>FgUXToefzNrk|Ea*zKb~s7
z+X`UV;4xC{qzj5Y^4#z3NU%53v-LAg2|PUIGyGC0P&b#kyHh|D)OxgMs7uOF`}KYd
zPZJf+%q^*RIOu?j^a4|Ly(&Dbo!+xDpa()xmpJZR(uLo%MDJn}30_^2Xw+=e2Sq{2
z_<~|84CWQcNblDGULnfp$pizCxnok;#%%z31xE}&ZPbFDn}_2cEEs@5x`Q!ao)PSM
z7f;E2q78B9_nR$q8p3Lm&#v>HrtrePL^*bSpY!|7H`+fk0H?g(I8~|zY?)8!2rnYT
zozrITt_|ozfboaj`cVL`K6NhU61w2DEIOo=st1!>hLa9;(ZKXpT8HmmUGVQ~axdti
zK#is=%NtHB&^XP{d+3NR*pUrN_SBFeH0s3BEqvB+=m}_W8|lK#PVLl%Voe};7}x50
zts&uci?BsI8NxsBe&U#*3Sve@K?z4T!DkjLy%7U4EKbLj{@$ekYE1WM$fcV=yG|t0
z;iEPrDo}6erbvLISQ(dT)q36d8NF&k6UcXoY)7g91ebE8nO@!mrzTxs+go+8)UC5^
zDrSV(<yThwbT`3G*7LM2XVu`rvP^m_wU=0X#p3h&i8UOvIx^@cssb`yB==~KNjiVX
zf|s+RH3Td^_m6m>2<i&^_H)@XA<4gBDm}&uY%Wx97qFCvXhr2xVLB()-QttkF<=Sp
zv4=h$`Ya76%sh_1bl}5tvURz3#+G0?d@_*~AP$e7B;OZ$Ab^V=8IyO?X|P*DjPJ6g
z2z-cNk=V^Fgx61RuI*k0I2a=%ICnq*N;{`^u6`E6Sb^tJJNyBdbDnTc<Z#2j_ZRvs
zoQ3hS_5iP33juRqg46{iSb;Z>G3)LnVdT6R7^~1?0WVUc6y)4iiD(_a13H(5F+J~I
zet(ZS+_KB}IaxAIP)~G5RQe0!jnJ?a<wY|n<r;fvAu~cS#EJd&B!rQ9pV_WQYGz<0
z_aeP-;wjO+Z`ZUFw=kA$I~S^U*c2T8iECcd>Y?w;+Im2?R|vaSpQ<|-o50<HFTB5x
zkI^H)P(^Gigz(Oe@`s8m#!$)pG0Xb+H2vD*NYImXAv_a(dLhfj80d1%y@p)>=#{I{
zJ&eigUiI0aY_-M+>|!G(OQcrmQ`T*V-e(En&xOmO_ee&tY2QrNes@MJY0Z7OhC-P6
zac)Q?+Yl1IhIz3@GUL0n@6Sh<gs}G?O=(8l5Uj*L2?m^EMQ5S?HGcNOC^=Sei80Fn
z%Jm&ZmUgq_;GyTf1~tOCYidWFxT*m>v$J7wm*T{;+1ff4mLk}5<dKF>l|D>WNw#Kp
zaG_m?;~wo{5o|FIF|ggK59LOlEh^DGI27h4Hj*WZW`0UV34ir~q<uQ)trjoRW;;o1
z!5cBi`q+eYnjX~i?%@5}$A`?camU<)Vz?Tkcx<b+9=L|T4$ExjN1cl2M~3{w@$uN=
zVb4V>%#@xuB3dYbPg9Cp-X=?+L}0Yd`zk7!+){DyNESr(O+8Qcv`Hen@Lev!C@M5~
z$;ev72%%ERCMg#UX>5&1Pkp|V3I+pF$F@ZY;|r@N24{0*aLZl`y<-|wsH;udJa$P0
zrPEhiGezaF;V!-GD?b%(BvHsab4AhQLGsZ1pX<IjbcN#wBNc{w8I;3cZ^YH(181t5
z<#7+o`0;~l6ab~+8&WG`$RBvU%dbKKuY6lNXvswdakCJ`DoY8>VEnze@}43t7k_t-
zSEPc#>8El*>5}-0BXjES9VNV75Y=XGM+NEuC%V9@6sp$hUlq(#M!&N?w18MDbn1i7
zLa+=nPM3AW7N}reuhIeO4^%k6^kkZKP8P?%gQ0A(Dn3uhjyKWL197(k*4OoNxHQHg
zAy}e@-~OI{nUtjm`P=M$a<9oFi&yF9A9qO@m>%p^DX$NvkDs0p^i;s^myBM~N$Tia
zN51g=xjqcWrUaT$6j4~uEke;p10!|lsa#$L;MLOpp_5q&@Au3kC#Y%Sx23P|!j%m{
zc?-LlVY?ERiqf5>n>F#|c=D&;bB53zRv)=LQyE)|eae+-S|~Nlm>2%Z2;P->FuiqA
z!5e$yk1AZ%!tKmP*Y~|PhNRhV&n7ulaY8v^Sgk+{cgy?q2%`x!oL01-DpbX+<WCPB
zFKXfI)w0uj>r8<yqBdbdZ{7QzINNG#X<_2t+nR>8W?)-HdZlw;4ZBwrx>VCNaV3`V
zIQ5x1aPL>XV!5J*Kf>ji`s+2Yap9MFa)AY8Il1wg>XER|;fVd#r|S4(Yk7ZaECKiK
zybbEHAz{y{jM&x_B<xLD?Dtm%7`IP5RcS`T!cFG~S2@(s-*Abs{Tx6+(A0JZ9uhJ%
zudx%SR51Fel^5S@0B_3G71QTx=ySmH5VcJS?a7tbKdk2-^{M{*C2KX@sxm$$C8dZ?
z%jFRVlxe`SO?x|Ag({}J5{w`nkw>eqC)&$QXkcz*{2_~36*XeQ#d7^+vDap7k2OJq
zTR*r4@0qKh&#3+V3_U62J#2eML5~JZZK=)24=dxP)R51ow8gQH@j}OA2^vh0TNV={
zlu$?Rw)R&qQPjU(>3M$!VBv3hMSOxH7VE2gdOj+I7K|fd%?;~w_G;34QWVf*qx+Wd
zM*_%Pnr1Y9380+u<ng==d8|nZZupVFhmN<rle@M8Jjx6q-^-IjwKqeK4BL5dZ1ClI
zWhMZ(!3Q4B2W9arhv&P&Y)(8MBxju)K)}WCCSD9l(wO(f(eGF|JBoUEnCW#`z<!s2
z{_ghm|1xD-{Nz7Y9Nt+Xt)gcEM$%Xvq%DE-4qd#n*I2ObxB9&Cb#rhz(k>l&PYijN
z6^3=Hm~o=h`&Iv>8CZMQKJGK#hzon)9B4LT#?gEJC1eLPh>_6Ec{nbDjQe*=d|_io
zw;|Iuu?kaoskLw+s!kXsA|^bpi!ozX<J^R`h$$4lvGh9dNC=ff3su#QFe5E#Wy17~
z3EWONzr0W<h#4(yX+opS7!!4vbY#RB@@#Vc=8p>?qiycz)npb7<8s)_?_dn}K_^4v
z4F&MbLqW-EFIIeAUD12yr4jTv)yo!Uulu{UgOrX38?LMb-R{*lf)6SjOtW(Q_#o-~
zFF47LerMcjol6bjjJ32t(P=(ZF$z0S`-lVYkNMe3Xc$80Iju?mQC?IRNVFhWxX_u=
zYH~}70Sx>)v{y5V7wc^Pei1#vjU<W(m7QV$d+S>0EH=ETt9M<F%CrFo{wv>kzD6G)
zjxXHCf*0RLXg=pI;YE0CF*<C!9!eutzvA52-^sAL{>qpi6;9Q8AN;BZ#X?J4;vewh
zX7ZJJCM^M6j$TVOJgo;WFCJQOmE=PkAyPyFSrFYSjJ_0z>%sE}gI3#~^5MpSQFFUZ
zLimjw_Hm_-3KusVlnpiG$J7F9{0={1G&j6eo$9;Jl}Xd-QRVz7ciu*zpg;tx<_9^u
zq^Q8G`p;^Ii2zDW`&{#z6-CxqW*yyb3YeDbN-uQ_;ElVn=1*P4keK*uMZQUa>YBN>
z>WhN-l(e%qwo@Eu1wXg@dQ#wD%vtM?c0$;<Z6L4COA>`8xo%vgP{3PY7iX@DFvkDk
zs238DMsnb3u6?`|;O-Bq2o@2+{3ue<Oot4v%$5$6%;-XO^47|HaZyZ^*ZKLvSq}4^
z?l*^i(*?0B8}cHl8?k-&z@tnDd2Gm@dQ&r^3wQr$rI{QOLm#Eqa%pD;+;(|;K*5AA
zER}6KJp4c$H*+$z_<AeiKh?tYqudm5)I1vL#3G3*#($j+&nw|0{j3YN1{ApYndB;U
zLJDijE1-P+j%0Wqx5*2pK*!S)#=(oyIDSxg(7QzinP|_PUcRINOQ`&F;p?)f@brSS
z{*)>%pDI+FRHA~KlTTr0wjA!<>oH3bCn3otx_5sTb=~jw9oIf1j|YW^&qf%lqX1s3
zS<=vhE1RTCAGj%?mFi-8^mYyWTOO(()}{vz+%Df%trW4ta5VkN4ox(wdB@L|s1M@Q
zu!u(*N?5#yq}8mih0Q)^0-O#Qz)`skTr~p9D8`zc)wZaGB_-O2cWyI;&EBR-g;UCC
zCMka?B~=?ObS7g(w-~`{w#wP~H!3Kt>?z;5qK&iDx}|S+8N)SC?fq=2sz?fTni$s5
zL5=@(wq6M|fnhe*#Dwi?_&X^)S6*BP(@YAhPo$Vav}e@?_rGfBa^Z4X25KWzD{)so
zGlO$6Wlz7Z=l&drTUCavHU^elpDq7n4!tsdBlLa}I&hHpX&Y!ETXz5Gu|F1YDB3B<
zL{1$~EWZCQm|YXQi1#y1lLVYp{+Q@yu8u5;xhwe@>bRw&JalcHZ#z?4#Z4&c2xRW+
zu~{{&SWT|J)&U^sY^BM!O2Xi!Xr|Aqsz^4b#ObKgK%&}u+C7(qe>ji+d}*eP+o#NU
zjJ#<uCCL@_N1B9_ALz9YEfvxF)78b!6dK(7mi@0ZObzWuBhpf~$Rk7V)dkif8Wft{
zYfpKkiY`aTzcrT0Ap7AzNmn1zKyl8$!>LsTT~>v9pE5||)4S3_ZP_%Sk4jsTyOi<2
z8(GIClQ&}j#)_WONE%o*+x6UgtAv*sg34%t!k9eQ#^B(%-k;c$OMb41Qo6F<_wxnt
z7tLz}lQ<1B`T33s-ci7b+b6}#5A))UgQE}Fy8+CKE)6Ni$>Y{g2}3zUF8ujezAyGN
zz;%C>YjuHgSg2=PIbX$wZE<&^j+p{9u4VjGe<_2w|E8qCS7wykp568C9RVrwZF14i
zr103vJ*Q1Mj7TzOjB1f5;HEIQum5WaJe{{K=k)tE`okL<cf^A&Alb@CzF<ZS`?_aL
zxOc74s~?U?XS_5AO?#$Y?`a!RV9PGo#)nIEx2r>DRRZR)v8%r+txN<%yF2+>>5KGv
ze~NwLAv0hcac}uV6GnQd1@Du<MY?`UtNGY7Q<%Md*0*t15I=ghNR8cFq(`NeHyz+J
zg<sY=3akGKV3NDj*YWL3^suF{ckaF>AljTYN^juDt;{rH&z@y^MZ%su^%i4j8-MZe
z*E2q>)zuNKDO;iAky?Ry4P&@8X8f>Jg%^MC<R6K0Sfkf<tyYev7(wYsY|X+49;{Me
z82Rre1Lkd|By3nUga-|t_XaAt@u2kaQ29JYRH{?3kMuW$4<b@Z;cvMxx{3jhHZdVr
z_Jx|Qg9ecEqfKRMBNwV&;UbY4STN-0R<>|g18Dt%V@20Fu|8wo{=EY$jy{NO5bM?l
zxmvRdeREEfy4z@D_ks=0v>Jj5XMOMp(QWh*<itnM;v20@I8ZO|avj5GJ=mA~ZqHEx
zPK@Tu;^}PXL_fLxIpN-VpzFv!bH|7iHOrH#5@NZLBeXK8X^sjuFS^<~;yAJTb7=0a
zT^rDC@2G&#WhzWN)<g>~apJ{poyUPRK6LOt%$>5HW0d-!?erU5m}9}u_2@o7j;|?x
zJKI13ij%{U%TC;wz39K_x1M4%akNb7qZF`}mr@Hg<iX-UJoLlkf>_+kN^TOQfIxfc
zaXM_k9SNGtVp_s@ebzAPV}mZ#XW9Lm3*^P^wKpFNUl75l7Y=dFXLMosNLj^D6Cb{x
z_URg$62-CzfoU02UHGIE^cQpau`n@lmiderIuT{0aHjS8{WngGCj_v1Q|rS)X$h23
zHt>sWC&S=m<@bGVg2*^)+F#c%iH}yiLc~hQ@G*6nF>c?we|{1cxmzWT=08V=C6mYy
z`6E!q`1tz0yaQodDrE88?YfxENHSR8wKON)7C~D5<%{zpa`?xgeu9363{SXc`2T$o
zMdg~AD+O!v=x%r_swb8VZnY7~8fIc>b<6rmk(wexLTuOW95NiH@FfVAi(_Y5)mK)J
zb$)cnyiwmm29`~n^ye0mI27b`OF35=PaKdq_nJ)?BCnercsC-2eLBqp4dW{Kk>@y%
zjEgQDieWF0&XYlX{5jubp@zY~%+fE=bs-{X_nLvJ99Gy(g-Tv0A<%7SiY+KG(9P4K
zrz4LSNxs~7M%2-kT6bRNBLx~AHRPXaD6I3|iCh*fO>Ca;T9Qqm!eo(4a)q`c{to~E
z|Njh^cR1B;7{~3IaS)D(V{gZ?=ef_ZA|s*@*()OnMY5C7peQAylrkC;5`GUEC8Q`C
zZ?=%V%Ix*;ecjjd$9-MT=ll7#ZSUD`@m50L$G%_}9MvIt+9>I=h9tuNbM7Z5DI<&c
zIL%b52DlnF2(ubUq15#+Kd#2AptC8ohpw7wf-@!H4w)j24hS>Qs!J15a@NGlZ67Uo
zdb?%hfq@Jfq)FRa4J9J_56hM`ceDYK%8m&s$s*_O`y1xBiRh-4Vn)D-4tVYz8l+>B
zL*LL!T*zG_veqQ07isDNb@0T=bKP=?>)~upW+V{>Mc?mvaZMkz64`6B!{t#iUYVUD
zK}462r79#&8bFZP3&D~#c_ga)-%7rT3QBB0{X<lP44O4K_Cgy4q&pFLPH$ETnZ2du
ze5?uZEBm>=&p8EDM{?y2Ggd@@k~g~dwg4#V{b&<Aqk!7drY>JNB9Hpi{`L<TQlR-{
zabf~xckbgBX-JYqM=OLc*WIT;=dX>P!Ef>?N4ZF0Y*Gq!Myop~FHpcTYu$osB9ET3
z7Q9%>kU&=P*OkO2si5j(CqYS;Lt)R0AJ!2GC?ny*-~&S{h&W6<c%LVWbh7QtG&@9)
zr5)FGB?=X!ItxktH)K%p9y;NzP&`_3N?fQ^qQaYJ(($yXrBUTIb~U%4y=eK)Hl>q^
z3ex_B6r!ONYN#w0Aa>$VAd%KP-~$Cp&$*cEY)hc{bx$uHH4db8qwP?38U-xgbp_n0
z7Dw$-)F<^%nNjh2KrB^{0$KK-Pf3OnP<&8-Q4AYBs>b{3NsR$Scj=09sfZ!`sd6ov
zQ#)Aq?5ohcivUcxB&zMa2%?&n%1a&oi^<reDV4|o^!N{4{&9OB!f^6@FK#SjV|ekz
zx9Mb<6@U9!$QO@%Ethx*dls<Pedfig?S?QoJ|Hn}FMvKHabk+-Z!A6ZlujhQA^4_F
z*E9y~MM6^{6XEl}F#8cc_8p1=sKs*;=^yf<>*Y@!Vhks+b)0*7Ymz?571?wNvhkor
zR@t(uj&bbIH*TTGcY1JeBv+#_n;Ru8;RP-`Phbz<=sQI5>cRBwmLAGgPLwM#qcvRr
z3yb;Yp2F^_3(_0rqMinOP}kSzG>_g+VV9;^D-XQX0n(Fw=0p-38XH1wo-Q+3ahATV
z7KaWLg&ue?5Ws@=+iqP9aGl3wwLejN0<<9t<=uA}VnW)3Cm-B6wurq^x_X1*y%uOX
z9W=a|$%vR%exFuVTE;s08uOZnT5#*Bj^e#22DEw|Ytq@jip3=^buZu6gv{ug>5?1t
zC^qYe)DeY0SfrHNgH%>cz)tg52@cXB>)IK`pLXk5B<bMz$ruet|M@fEnFAdfe66sU
zb7K=bGAk0Dx2z7+L*1TntF&lEbwc&r;x^Wu<HXK*QXL8sY?tO=(;_#GHE7eIK`4gl
zbn%=T{PQsKdiRhPJ?EtL{*p+Gd>z<iqr=qThNugJY85RC{c`LMHcW>ePb5A`+aN(+
zcVNfk5n9A)xieN`&wxtqoD~{MAwjmc?Fx@79iq-3k)`>`h~#a~KS>iH!M!>grib}-
zs8}qN?tDBmDovruFDh4si(Zn)SLErDbn_)A9GMk;WLDWQGF64L#5Y&QKGP$aw~ZRp
z!t7`$@au=%F(Ra<Clx&{U_d(VGDibNIFP2`M9k-lL>L)$v-p|Hh(?Fn|0)=Bq0?I&
z#u`K-FwasrOtYBKnf&}~Q61bUL%8W6TfGVlsvM&-H87)<C%1jSvhtvOL&ZH*2^E++
zIQS)*jTOoHWn_XUFFGGoWHy(h4D<P7*(YMy5JUb)m-f$mC^sm%Z?B*-cs>j-&F9;L
zAmf!!hA%(*!2e8Vp+pJ1B(JhkK69Xfvh2-LenI5Lw)%R;ObMKBMJwJ%T&ShSWm#zw
zkHm-H;_B8F!TP~-%Yqqhlz&=ab^FIYbl$-Dwl$^*9S^<K`?z^f03lDbV@(7ZeD~~M
zxUC3Rf0~^FYhJ|cX!bpPpBTE$B-Tv6stEnWG7go8d<dxxR}0w?kk6*<5#0hspdVL}
z8Nl<S)=u-lz#MVZ<+ti<(ya)!g4V`1r2@#Zc-)9-Q3B;8;zN|hlt91mJ!h~Z9w{A$
z<pozMRG=$-NiJ6ja7oXeypY_7&M@J*g1<|ntA<-vZw-{8PT7H9iAx08XPl02_mxFb
z%eaII9u;84ezj8tM3LX{OOnKv98yv1y4u1?1k;a&N$q#V(E9XPIVDE{S(|hXIXvH;
zC%bX<)f13A`-Hf)vJ(0hxg{2JS{3?t-rifD5J$3Uy$jD@E2GRY-CWX95(J;VXnqqf
ziCP_61b6U6R9Um{{ts6*s5RPFa<Y{|kJmGU!dr>x<AD#c8yD5#>AQuNiA&N5eR%lY
z!bufXcJui6^=W``M*Po}1{tJgGxK-7OBKB=c@Zj3)dD9^E?%Qwvgn?zT|3%GLiaDo
z)V+SM4f706T2(u8h@mw$S4NM7lGtpY9ShWjifiAy;<w~c%BgD~i={~DW!dNQD}wrv
zq-^DwGN6F+gJc_yd{IT(j9u3KZw+90q`kW`O%XveoT|4_MWlF)f)6DFQ>spO3cC{e
z_fve?CW(m3L~WHH#_w|YU%`hWdnMG^v-!4}Sp{Wn=zCOaQJ^9+PT$Hy3Gtmz5+{}@
zqRYV_qfPrMAoN=Fz|8I)g=8zf2&~H?Qpy8~Q_fT{@Lt$!)}V;yrUJ0dy)vltNqxtM
z1}b1RZZd_Oib#-{6n#Tb5?S2I@vi?zh4Z5&hM6)7$o*=LP24^Lx}bW9-&M>AG}99(
zRh;suzI{twCPWymMXR5PCK$oA(7tiWPFa-vcpB&ak01S+?7=HA8G&^|^W==b43d7$
zXYRiH?@r6UGWPpKh1R99>fkvkbRuXRY=IqVliTuh(x`CE=_Bg*kwl*6|J?cR(4+4a
z@08@#cIUZqY_I#p(HtxP6%~sO%<j0gr)3WX!bL~Rs}B-TgxQpsoy9y>O*}AM=0ky=
z?q6T8UK2(4)UHiLocw{!>EzD4tpTj$SOo+=5Jn4BlMhQZcQK8nH|xX606A!$QTity
zeQ}O>aaZ^g`A&hCHa{;wxB;g@F$kc6nA>IQIzwd7AFcGSjmfa-O;&B~;X~qYUYdMo
z8z(<<>VI^^&k!_@gzYcA#)Iye%?<P~{vuO4UM_22H2}}mg7dTq+$cF1FE)E<ifkrp
zz97(`53I{>?uAqi^rdaRmN|Bc>|3{}XtAgVdqgnR6GN=1-2XO?+B`|VZjAAaDd<6H
z^)Y>mekQcj_(~|t`4^e!O{nS)(uMuChA{@>45(eY$m{Fbaq<Uy-}eJAbYN9<$F_8r
z|2<75A(AGe<TjtzL(Mcg5Is{HWTp2H>v=UExAt?0>>u#<mf2x#2x@T~a!cOCl-kdG
z2{im5tISXZ31wQ~_^?dA%=9m|_95DZrM#b<h0UAnVbKEb{g;lvh+M_WZH5Czi$9Tr
ziymF>2+)MtWasRwtjpL+V+IrN>Gx#SoXsNf9t}|E_flY8UBDbWPaF75H<8l`jk!a*
z8t`FfmHoKe9Cm7=&_(*pbF#5zO!?=>>Ja+i$Y7(#Z;VE+{1SE81S|Wq@VZ}E9mrWv
zLb8V^vDCZ$Y`ysB*k@kecj&qryb>dJ4fRZ5LqfP-ujdFm#WCU+!l?%C_y{RgiE&Ih
zwS92p%3DnEny^7r1_=%iJ!i@88pT9xi~@e(d$2<5;`BUD5<HNa^i66T!K{QDUyBU%
zVgbRuz2nzaftLS8(;LPS?2BWBvv7JprsqGEoGh#gUlrOvIwTKck@vnnHP`=+ZJVZH
z9*>By;r1oNNq-o-cI0Yz{OV6k-{OsozZMbZ|4Y{YD?5xGS~Esb?!%bD^WIC$*HwVF
zszb`gbQt^BpWu;cKZ;djH@_P-D8r=1FF}{gVa&L4+dkA~9DCn49OpT!1R)iH5;M#r
z*d(VieZ~1-7^49f)ks1KE<cG*$#^t^={ZJ{c^jv&ZCQpJZ;va&tK2`dv0<ZF!|^S)
zrxG)mc~yQ*e}Muhy!v^z)MpF}-FvF^Yt<aqupqkSI3W*{tx?l?iQ|}u5WSaV{Q|b_
zr;O7k$%74VP4&5s3Cy|v*t4s;OV|b*dzg2U9OOq2i!qWXG4oYKjsLogg^B0QeEcd4
z7II~DS4O5VQn~PZ+}%}7x=P4AN<$WUlbnj^YJX$1J_>>_Fa5y=E8_*7a%3Q~%IW4*
z^DLId!rr4-ypBCT=K4HxOByoHrg>J;FJR9z&drQ1ZesTT#d;6=Nkdk^hKRJuB32ny
zvKVl72cx;Ux$<~G3Vsvcrd@orgy|;#@?$EXK@rc2JpNisL9g(B-euwn7QD13*DFbf
zzIQcoZ*)k4P2>sPiQ!djz9v4#`6E3_AFB<Uvy=oMDgE*T*dNR^FM0CiBS!RU?Y5fi
zX9+0Qv|tYJTE{#e^`yJ+`u2}QD}p$02{4XOG1A9vVM{q469&_)NG-deLU}_R97lKJ
z{$Aa|7&PT;3y$wW+IG}2nOov;zVzBwYY7cnUyrb~;Ne2fMaAFW8;XNnbkH#^1v;c$
znJN345r=#x!?y7A1laC7TKjF+m&6s#6a60XASQBM@xf98aLIp|O)q0ap}(inUxxD`
zwwTrY!BYe<A2}u;{frs88YZ&2h43TRn-2LUW&{W!H@}vdVnrDSzLn%$LB!*4z1*)v
zfCLiPfUol&#H?~Do3bv1ICBPW;bjPLB!zyT9V-_~%*^40ED==s+wNw*CIOl^KP44x
zb0giPUbcBPF(i2QS&X(j0j`{_Q|Y_SgIEjg@edmbC@1cRY3L&YFbs;fGP&`g^D>f6
zF()JtsVU(?KA$*5F-CkCw&X`IJfB(a)s{kYF}1g7%fvxKm1pIvuOOOZ<~yb>BZF-0
z-CuTxNx<}8v&*zkg^;1p`o?)pIW%-TyHq<|5(LsJXu73E5T25Be8f`$y(^^G_o<bF
zr{v#yo!z1+a&}<Fq(lh?Uazt>GnauNz8O)%VFF^}Jv8}!Qw0@C8^_tI%7Mb=`IE;#
zizD5{jG}gVRTN#(#<3Kw0Iz5Z@>&BWkxq$@UyU6J@qLi#f2*Pl;-l-uIXt_bv>hfQ
z5~POwGECpKlo7$jNZ-r7MFut42UPD1R7Y3T`QoYPNN}Ov-4BbBLp&>IHJT_IXq|=a
z?&1Y?@E<PtMv~jj-%0-isY4nlk>+I5*LF=XzTrA2*sh4;r=DH3)Y3$KF<Gi<+B#tQ
zpu}pzL>aYay}MbjsfirPRaM~~df>O*HT5`01sM&ox#@n=KscU}Ywu1NLbao!@UlG-
z*=@!yF41bBIwNlaSHf=I#b$hSsU;$=j>gvR7BwWllvzgengZO_*=r*6L^QcqVHP8h
zkdNFsy4ufFC}m^mJh?(dL;=o}4H+WxG8nX<Z7~9{mOt0M>tQif!I|aX70`!xVjORr
zF>pO|OSShRBKqOq#Q%h4Pz8RfC~?OaB3Pr2XBMcS&0+QG2}^NQqabC-L^T1SExqg)
zV#?@;w9LGZ(LS_!CbsFhr3oOzrV>R*MI@G2CmFh%x2Kt0@Hi<Gh;D3)2;c4b)iySP
z2FZ-5w(#ECQm-*gHZ#<YE6O6-<E3@QYx5Yr#@>FsmobDHaFm>wkwP;n(<MU<-^k@w
zXHxio7{SkAd5iF336yX<G0uc%om@LXunRXcf`%fY1D2iy#Ktq~8HVU#+A3#^Qci`#
z%v}*N9{W+k$>``gZB}4-By#;X7Zt+oJv(@aLdfeySo9+e4!CB*eC<#q1^8vuI5_nA
z5!Rm*=e5BF?AlN7Yzzaa3u>o-&)`9J8Rs~{M!CV=yu8QD9w3EgyZ@;rCvqh%I!T_u
zLDX1K*V#NW49TSb{LRCHn5|FHEkDMA*B8OULj{J=&|5m%7eI&j>#THd)ZifXy;#)9
zGXr4j)eiZWvw?lLX3$_Q#z9I{n2J-6K3sdX)_2Hl5p%OW^O^BH4odkflPb3Kpkgq7
zn4UC(1t!p6_Orr4bQN{BLtPIh&-RHtovy>q5)4<%L~y`T@N44X8C__bHy(Y|-%Hlc
zlze`Cg&T6sEIq7SbYN#reTw<ZI62zuL{0P;ZZMB`kC?&h06ivj;iTyT*(siRuA!Y9
zTIAk7>O7+jVqF%$2qLTGlD@*!`3`QN(Kwap{GS%MncS1uNL(j}<fS?bjc~&$3n&q_
z&;n(P^xV5?+vJeu)7R@calljBYTMMH2`_3En5yp4z-DWr$DAz=BFBD}Z)<77<mLhO
zmmYLr2s)qR%W>em&h7oURs%|n+v)098NjgVgBHIi54h;}<W!I~;5=^oL1qyn^k&)j
zsh9G=0s2N0rY?1OcI)}+^D4~nF2|11!I~F%la<I#?&{DO0B`hPv491uywY!WJ~-mS
zb!mG;4R(@-HSxx5z<$qGAY_ye*7vKx?>lNBHI2iT`q;tY6oaty=e>Y);2n8yqz265
zEo~N|9PrFy+(31NAEJ*ktS&8)ptIuO9%~^kP+L6abe2sJa`zKy+8>j^dsD?FB#;}@
zh3~jMx5h)4UiX`3e-eE3&69d-j{|wRz;kv_h2ZY?%H2pJ2_lcV#td5Uzy-eRW3Lp2
zq4MP_eHtwZ7!F)yFtp)?v%G-Y-!1|pbGXI&AF2?v%I|C8#Rs@?wehG}Q5e`?O_*v{
z1+Gt4y~e3~VO5bqU-z*XsBF}X)4fy$jkFzS3dRqnk=d-`MFi017Ba?HslrD|mljc0
zL10)I!kIo4hiJYG0f#14kiD%^74M6O*gJk~cWNY{vbVWv?LSpW>dhLf=@)`RxxmVM
zy^=uj6ue=}P6EkXHp|y8!f;x)WA^Z0DbPt4^=P#qLB_8THLg_=h&a;pj#fejV)MA0
zUfd-?At5aEX@Mvlt8wa~9+HK=JrP1-jA|gTJR*6nLJU^?A{xJ)lY{!gt(TffYM^*w
zV*|1XfFEFveOxFHF2!06G=l2j6X+;-IYu0sO#=w`YZc(2$Dftx7IjEhQfII{ApzbS
zJwBi76(K!p{NC484Y(Q@aD2*967E@7w#7YAf_kifsLERtzWlkDXJH}*Ny&#Lj7})S
ze-B0~hmUB%QRX<Y9tCO0zu>?XOs4|wg$ChPuG(Nx>)&~tMFxTyFLt{7sKBYiIwyz1
zbs$x+hCBR=43OyV2Med~?#s}J1n264=DGVnOfqHRZT@;sZ;%QsXHI%oweIGEr}%$!
zYH|=))p9<YQ3a;zPv)Ip)(17G9-4=*<RH87^4c#uWjGf5zN}}TAq-1xo!$|Vhm@A<
z>J|=4z?#Y+V5UWeV^Nji3a;`nC#+<dz^w?iK_6#zMF9*1^uJTW<zY`2&q!gqJmC8}
zbx7F&Y>Hiep&s&Zw))qxmL6Fs5c~QsVFSRzjZ0cqQXbmw>qSM+NJCJrdi#4z3M^N$
z-B)RlgJ*U31{Y@};VDCLS6mte@Gn%w^Ofb`i+w9S&9FGESFJ?PS5hGDv>hXMP8Ryj
z{>>8l#o&T2%S($k3QYO86%0L+0h+%`p!iAz)^=zfTxz92&0`^czSq+5+dAIHb{!At
ze<j?_cHc4io?<axBL!PSB@iFa4^8YNCD*S|z>f6@1J46V;QqB;=X#76936}7n_VbS
zKF*PEnkoSk+%qkSncR>j8Z2ojN`dY#u2W;a;?PHD_HOau9^f^z{O36Upyp%EK43zC
zK4WL$Nfj1&^iHqOBMl(9Kw3LeP7JIool+0CGeCHkafq@O0R9$>*P#4<c=Ppaf;|%*
z&@wI;%pfv+Dcr8k!VAM+tJ$lC_5a8{i6O5HxX2K5`|;r>2_d+%8MBriyG7QC>AjPA
z%n<a8?k~?+3c}h*=WL_u206^*0mqXP1CXWl$DhB+5668Z{+z4+OExDt9GqLxhof@A
zW}^&yA=b+NFK+%1*>O5a&cRq86y7-*HD&XH_3XS`Ci+7@G5jJqKSvK51cm={?()Qv
zR#Qxw_b*v*pZdD>j4t^6?J_YW;6O0q=B($ZzvSTzexD{2U8p|%zWkUFH_(=vRsNb;
zC)?Lo?IqpU0TqdJu}AzlVI%G>W19UYS+DR0*3O^<ac$WqN#FLsnq7wZ^7a;)X!17U
z_6cpcTRQ7XN@a&?`jc`#Lp$UH_g@*m>eGV!O3r4}5H`pSVe)$wO#?>`9c@!G(t`Ib
zUl%JbvBJ3I*L2rBT6o5>S@7?rCPcKJgvfptkm{Uu?Cqt4Bc*exno63m|4kmvkUa~$
z%0AGSEye&9s!ut7JkkJHiMtLb{xQSQ##+hyL`E?CcWG)%Rs)K}6+M3RF@wiIxueP^
z6D0ArNtafrLvu+-#KB%>$h4L!+DK!8z`(nN4NY}exaT*xf1MeSe@=Oy8XIVKO(e0l
zszIGcP9x5Q1^i}(yPN;8gSelw#nw?Z5dCN3qE^iUAFj6>?EA_At&i>u?aY&atDequ
z;vg%quim$d`o;zE^uEW<E|Z{x-!J$lBOB0Vl^$~X#|`7!_&NSv{)e(9hVCC@gYQWq
z3civ&aF<`g>-B&tL?7@MUYTGAca5jae_eTjR!EpJ^P(yQE9XeBaB_fx<^1!f6?_nK
z`BD~xfhw3>`oys6!U?S>-)58c^22@ubS`_H2p_kjUb1}Rg7fF9>IpdlVE$~*ZlHk(
zKiMzm*41#sQB&D;P7)rj7zG4Gr4ixP%Fo*lcW}V%*mNyuS_m$8IHi-_i7<Ujz~}A_
z9ym!$`#25>@A3qiIDrVyws*2Ui+O=sc=x8s%l)va8oxL#PXsHWySWkX`JgN9h-ihk
z80@`!Lw<um1jnVlZFkuCVJ=Fd?L;gAUiOTcrAQNjg(rR{!BYU5_V&wWmWadM+viiZ
zb%<c=%Q{)sD+qDrjMct_5@2*XBWBT+2=`M6)$YfIpgh{~;zLO(i0P_q<h?<JK_m1m
zi%uADQQ1e_Bc#DRs`0SOPa-f5bv}55i2$c<&c)B&GLSIRG$&%H3SpVHEn_!CA^O{~
zPJ1Oeh#_0OtJ%#>gMbiMJQ4$M2fp9@8S*ehxwlYnN`fcMEm0RS0uX}uPm7H!KyGf-
zX7#QQ(8XHy{B9G6AhxmxN~*hz3wWOJsZI@qKl~^j>Xm@Gl-G_={gff|1yjhg0(B_O
z@c!yNDhcf~C;NwDRbWM}Ka5zU0TEoaH}e;z;D-9`;(r=MP)?}3snw_nDF^&b^*5y9
z-D5w6&zVGUI$t?+W<?9ya7T&wzcRq?-5RaaMTGwxk5>ZdfM;2b^2KpkxRc|(_I`v2
zedgQ-?s>XkEygkvTrUToZQcwn@9q-{FMcA>=>uOn!`GBZdARyCcg8uL2o-->mO=vz
zfWzj{jZzK;P#GSH_QDh4M8c4Y>^np7@%WUl5TgJ_<TIymi^{;$oHp0W4p8fJiC?Qh
z0cO*y?kFBrg0Uhum+%Jwlk1fGs$B{Y&fA3@I;jAKN>+LjN)#x$su#srssN8W&EE}}
z$pJ0pK{0y)1=_~GtR6Y60Nhv2`VTHigWwgr>pp)e&=obyb*n=jK3%)?oIOzz$fph*
zxTQsfy}#8A|M1AeJ?Zr)U)aRq!W3tUg$or@_f3^5?DojBRg#7e4Mm~n@lL9(9~GvL
zCVNRK$imIVufb&nLa;Qzl#t|1g>9{!f-+_q=rgiOWk1Xhqwia*BDJaTg~WJorArFh
zZtWC(59EO>S=D~p3{<#9U;2-7K@!|LINQ5_b3j9I9z9bN1q#^3eqB<R0Jk8Wo@+DA
z&~o*95_cE{VnbiPBaIM%-{<cB9|Lr7rn{lmT8IKOpFJLqUKaypUAE!~t8H@2^G{FR
z>H(r#!Y6z3_CuJ}rucaJ8u_dQZtk2jfLo_c(jf(5m?gp{X1qwwtUT&AK0}5&S{wY~
zuXu=V9X0E{IZfvBtB!D!Aj6(dbIjB-0f>#Fiy=&nk(*3DtY$bHf;=;u9B1)fc+A;<
zVNQCOj7r;#|6Ml#ew!c%&sJWTh`G4%i}okE{N(!e?%kep@DE+k02dF`=ktt?yZ#_2
z9w_jy!tHuXapOUyByM2)=w&J~`hz@FaPqhKQ9Woi;i?(Y=LAodG<GhjL2}|LQ+LNA
zUGV#j`S>Gtcv#stcgTB~?5}ySF=Rmprk9WUI$UOjH@9-=Z#IpRM`$eS{fu=$=u~!Z
zegQLl4&WXM&X^!u|0R9WxT_74Z*u<ISYib60C7N$zvxlxgo-J03c04Sc|!{xr(`?r
zNn(J~9?^8*oh6s9Hw&$}Xu+s_rS64;^w6;{WKWvo0$CMtMm%|=2?CHWK{-GNtbVv<
zTk;aw=ajKazp^I0cJ!t=MbLt|E93oJdMjl5o2;cr@-@J}#`hZO0}T`e#?mEOu95!-
z0096043}ph)?FCJjf(8O_g)X4$5uR-nUzwCvO`Luth|&`(IA92iWW&qLXrO;k*$;!
z6;T=4ky5<Ao-gOVuXFC}zJ3!1?T*5Hdgu#^$T+i&0oIS6(vOBN($8H_Y-2gEiyyYM
zf&Rr6`ajdHpBan((C@X>Uld!Xi*K8{oXRs+=$hKk+5cPfkG|7AUcov+2Tc?IF4~8$
z(Cr-uO*kS~=%UNk5%Fv~sETp^vXZ_+Klp1>zJZw$@u@<xJ!v!u`OX*onO>p4c6$G%
z%##T(&dGO~OVdD^%s-c8$$)#apZ{%cV}=Q<+WYn*Dt<<}ct;d6V0~_hh}n*{NIX%Q
znqo=Cyn}#h7mX1@m~l9{unzvRoblH_YQy2y*{`?WGa~Q_*NpKqR(J<~SL2M)M(k+o
zb&+%?%!TJ0H)pV+nRQW<Us4+%@|YXif|>DC={3FaDhIj`+f=<gqXn_UcNlZ_t-+Bg
z#y2akxFF=&R_^s#6KtAdw@c&JVpn>rb!jpW&h}i_&NI`*y7~V9Vk_3+RRDv%)H_~S
zb+B!AE~4P8eVfTcVOBtNA#8}s4^&ikZc?S-p6`pRdRNzD=k}^sW`zRCziP5G{jmmk
zyF>yV>FgK{z9DgZ(`t7+y7*(PH4y#qV4p8HCzy>Lt`0JZ;MlLG?${sd=#ZvV3bJ#f
zWlOJ6?w}~juJ)bWb4ML1Dsh#Uuk+wLw?JF(S8*s2wYCO_)Ny{i=!Z=MFHYBN&)d%{
zg-u=zZvNZU(QRK&7w6%}gLZ-6KWH-Om+L(7Y_mGNR*wBX872Uoo`78<p|bd5Y{S3X
zUmendy8d701mQ^C6XjVihhsfjh6|bMD2z%{jZ6~;+jP&BKrIDuO?a*3EUM$zv5aVw
zt)duTYdK)?P!W>i9PXn>HSnU4V%|>?$3Y!!VW|zuc+u9jy;hTg;?Fh*BGo0aK>0|K
z?^VIS{;8E?{F+FL++TXiMjB=gVJrG4)sVij*5Zb?7P=Yyf45f4z*e77FW1(9iN}HJ
z7AtK$m2Qxdnvliqu~==3j}+9|ZK{7OK*gq)ml7=$<iYIr>-q6mEi{bjKfTC8gU!si
zZ=9b3Mi|q}<4$X1f_kFoy0i{<FdO$!9w=f#q&oPa0Tqe&zaKvCp^K}zW!tVzD?#>+
zOR?lzDk4vYH;0pYFm;PvW}vCSp{%1X$%clWG~Qd2RtEUqMf^((P=&wXZffKu8iw*i
zoh?QUQOo^!?)*75aLYeGUtB~(_P>`Yfwzsp9jlNNl%kGZzn*^3OQj()qhWq5a3i?h
zbys^G(m>6#(Bfe#4FO`pKJ2=tsJ<pRS|Cq>_F`tDe;O6S7TXqg%+RrSflY364h1&5
zI6pTQYeQem^q4^t&~dxqa{3nv{(N1je5<7e1BRiJD`(7LYH2Q2v3eeIVe$U;3=K5w
zlskAx%^Z7;K=Z#z!TR)gZ|4G4oKz}*TT*C_y!B}<gCZ2X&MUHdm7)Ze!(0_&To!1r
zz3XbcO#>4T59lO&$%8&Ja=_Kj0@pIdKQ3)m$8oP{uL}k;u$ixyl=HPfQSu3w1_?EA
zxlkUB?-4`eq1P_syDgAh)+9<+sUYm`^Bnb80@&z$c`!!L0;*?>%6p&;7WPT;6d!JE
z8Srcj{$-AMmL@KPLPeww5L`YH>+m_h-?;d$Ia+sa_?*S5fV_b32_d)t(T#hx7DTPg
zae2#H<G+D&X!R+WjvAh(k0-Qba(ytv<EwF0nN}HeDQNw8ru2cnkN0et`#v-Lm~9OZ
zjgUf~!wL5mqZh>U?yZqhbHKCdEK1)Yahxo7&R)FunFtPDa3_uey@sk|R+mITTjRyM
zv@}Bex#VxUo&|8?^>KLqT@ZeYN%P0|O%WbCQFhTvbo6AYro<lLM{%r=yzT25Vr%=;
zm%A-Z@%fCbu(%vA{EYqyvdzpAFWAGU3ip{ns5bH3CSfj2c7*C2_M0Qjl5gcrr*8y(
zZfT#eBO5XegpX4<&k+mvH~-vJzX7kD*%G^kS9Q5G;mG`EmT0)zRiC|L41rt6Uc_`U
zgK5JjHcj?f!XsjES0&vTj|<QKQ<r4K+TfjS2EsFhyGs04=L92=I^q-=|9|w7rl$H_
zmT5xiRCq7%J3|y7DX65%{HD*$7X&$VPY{|<8-8Ug8ltdw;L|?OdHVO4R>!-t#tD@^
z=lQ&22Dt1;9RI;LOPA5)n@|oPB?fF>b$t1tj~5M0b8q%c(&y~t6khH9PMrJf=(f&8
zA8emP+zz;p(l3Xr4A{kfB|40pT;Jc;gWnFXnQwoG=_4sld$*87M9S+ErUKl0P>t8*
zR@WY+f8ze}a=rE!A~uF2Jv~+zw86D`xv%@^5A<5h$Jz!6#dJBE;;at#ini%naCOnO
zZPSgFj6W0o9PAfw?bpGq$8al)&|5nFOtVp>&PU?YCtdczVH)ftf{P!XX{7so3^?&8
zp^q5)s$*W~OGCI<VD`jvHN7g{{*xB<1JO3qpRW0h3f<#`)85undbM)5iHT+}v2{nu
zJ%%7Ex~13AdiLC-M?Q+Wfao5g+@8iRJFg9IucB9)wL$cV8wRoGczXy5dg4@MoHmYb
z^=;S5xkY5obClOjcN1fGeTK$(w6S}4`RjN09}|ZkI%mrY_7DdH@|;?&wNNGzh7!ke
z;@KrXEAOK{#B~uZ*$0O;5&nB{yJ84I{9fDC_CukU;11eQWsyrkz)nqlN8wuH%H3k-
z@0=fq%D63|VLcicx?tI`*QK5a+P=0#!=R5?lAF*F5YRy9qX8F{GmQkzxKrFGr=RHi
zX%WV>Lmi>{^WQQ{S_m(9IhVQ3p9q>myQ{<vHMA)VC3pO2C+fXKJkz8Hh^kTc6K3C3
zQGC&pk1P8v;UdlSon_-7v4-+ZZo9rJ`l8mSDY?8Oii6&3xW;}V+O|x~=_ab+DU()9
zlyWEW!95^zVPuF9+x<bdaab9I_f_v|fo?+L$}CUE>OUEa=DxjXt_(`%@a2}(K1(Cj
zr`;^R6aBlJ4GQimK~f_&KG~y>_^7>@n`%5tlvBdWnmLr<^z=!gaotCP!{JW~<Nk5N
z{LGnzO;L(ae0uaLg*rgI73ZlKcsD^z<;qWSjVK`TXKne<tU<!R@1@`wOcO_VDw74>
z6)@h(%v`K7L}>0$&rGkFA$~VJ`MB-9Jd$;_`@#o@iL|~yQ_Y@pM82d?SIt&==xjV?
zm`{EqSU$cLbJ3h9EQW5??0qYT50h`A728J$Zf`x#9?f5bVZE`T^-ejsp4MPC;u|ME
zeCxUXpZ{+no8ztHq0h2-U(4TCk+M36S^l|8-Ae>--EZ-KL9$Re>wAS;d78NN*T%Iv
zX_?^PryS3{B7?Bw;zRTYtMw_+oetG8kiX1!MR#A4LGE5LKldGTglr|dw&+17a{Z@k
zk29z;IMXU)U#T%qxK&afJuzEDN-J)h*10Q<ZEVro)%AW6A9FKnnQYdPCeNp`b7!T%
z>HXYcKI}IUcJ1|nt?{g+jNh%YI0q@b4!J2hJGn%JjI;dbv%*HoW{-}^mPq1j(d_ue
zhs%U*ot|PsB`2wRSd&3{H6N&n?kxV<%Rt`dDKT#I;URC|6Ue&uR08t$H_mw`Fp&`w
zyq8$H_(=cYZ%_Yjkw98-eM6ns8d9h`yK>?iKN*s%t{=cGfqYN<jHbYK<P6SSDxVf4
z*%Skda^H&Mzl@&BkcX_KVy*d9x0VR$8-2rn3n7j!E#@RqHFnZ+`*2!co)~%f#K>{3
z4sl5ANs>A{%1MTTb8M%#B$?Dm3oYi6z@es?r~Xkq<le<yExRc)q@#FCNW>`#+|E<h
z5SHg7KP&t!U2c^npShI0)76#4>)En@Y>WJ)JWYVHGF_geuXu|TX-eVh4^`EDe+0>d
zgC6<W#}!G}{od2W32A(?R9aG^h>-pBhi02EDwFCS!ilz7GUzbj)*VO_BMbK^hDtW7
zk}f=AQa)v}h;I>;OQcAW7u2Qy<j84|d;9jsD2d9$j%KH<yev(Qvoft`zNSesU5T?%
zZBqb|A@^G8q%66zzVGtLMQzfQh4*ji7bWlxrp>;Wk|))7*2#MJQOVQ(oI9<3Rne;2
zG5N4Vfs_gjF$<H?A?FzmzdP@y0j*?Sv#e`Mq@}=MDfdoYa;ermRiaZ1%#sodR}QL>
zyH3ma?g`c-m7|`hbdFKMWZ|=&ZmmX&e6!!fuuGpjf92AQm!>X+Z{L0QP(*{gK45v|
z6te;Oi&d)a-eY}ey*V1Zznemqg}Ag<?lvIfH2wPT1sGuu+Y^Z=p;}}d%RbL!2Ltln
zwtz?ui;dXjHnTS=NSl1qQBU2`q)$>Fy(;F>prb&&#@y+zHo4SkeEUkX9{JSnLI9Q7
z47!^<C&j#}WZmc6EQh!1l8o0E>y&qyBb&}=Qjkg|3ARu}USAsNcu8dU+OrnO;i=*p
zKT9Q(*iIZQ6V@h&TJ3UM<18Ul&dYh#no6eU)Th@9s*_j8J)7(|TH&4MN$Z>@ZSwTj
zu1DP!ilq92_!YlmD|EP?+AJZeP5P!1JM#Qx$V(cJkDVE|!i&JYOnHYj$w`ruRTpjv
zkz9GDAJuxSP#PcpiqBtz-0$|YqU;eH8NkEU5`WnWBDu`F#bwmU4v&$SLzO>?i{I@1
zM%1jp@nKIvRjD$ma@l6PQEDGOr(%9yEXNYhG!GM<8x+Zy+}f=*(f{bxr6Ci%Yb^0g
z`MlT~QjRQckh^;)j|D<&WKzUDEbw|cC`-&qhOEqaJS-Z{g(<V`p|MZRF`HoGT{9<6
z+N$o6n=Ivp>)*Q{PjQ&TguH#+{j@N-pFST+gz;mt`6Xli0W(M+ck}Y`<R=|oRNXms
zMF3ewY`jYyK*5#+ceiqLlQ&J|NA_C@B3<QOOsECWvg!2Z(lxAPK!3~WPd5bNzEo{`
zA)1Z{SJZbT-(VzvMwYd^mk46r$cn802~)g~kr3FE`HQ$RY_sz0wjge8-)y%1iV38y
z>L<2t86#-TL8=+if?$gZpZ@)FBOZ5XTqWh&2&=vO>-en&A!n^SGCI2fY<q8+PhIJt
z)3j3mx$_7@$h$zUMt1|65}bzHy+-ISKE*%Q9u!#R-ZEkHlg7BrG~pUHJ4<hOJK619
zC4kuQx3{)^FhXXBWj<xyZ+iH}6n>kB0+8+GZ)4qPgo!3jkMfhtbgNAXo0%R7;FzK}
z-`#tL=>Mvow2@#$*>c^Mw{-$I8`~S2DryM6@yu#HmNn?Tdo0O%UH~up_I0~v7~t!N
z9sAbGufvDnKw6lIAm-m*rxpqsAlpKB%RO;c6rMJZWWOm05#FO;ciqy*Z|6vE=ilqG
zC++3KI58n4Y7G}!QT5S#iT_nvEj#p$+7iSb3!(nTIf0NyJ)9!U?2Y0$@p}6Du_Z5I
z{Jl+y8{4Oc^j3qmqlVn@Cyk)1CW0<&)2@NlJa(5S);jhG4-ykqYihYfA)S5dTym8z
zE@arGd~@c7Z}vvdYn)>6mAo%!5upq6?XpR=J|A*Lw|b;0iQ`%$+d3azUC<9jC`d^2
zW7i2fU-&Kwm?(ONc>L8t<EDh^W^MuWe_*=%<*p>Se0yWaRvlbylo~k5CJ1lI(96#3
z(inRcC9RmR1D`eGa{)X;=+);u9%m_o2j_A>7^djJXbtzF?{dQM8C+vA&LxY$ubRs*
zPUyhC-{|s3a}o69P%~AAWifbi(mW<s2MaOH9)Avrf<O9wzHzM_I-Tc3T+ZoW`3)cK
zZlM?opJX?@e;^N`)4xcATpiT@Wy+ab6o>5}(bmn^6rjrD_H2EV4ytp0@MUk41jDD(
zW2s4s5E}^^FK5)nmeItj+2^Z!U}J?G_emwxFZ}mV(M}hJ<?dNSLNYj2wJo$bQW<|M
zJwAxs(Os>(<&JKb3}S-09pCR&LCQ08Ha#9ac(2?XczsP4n~Yiy7&)rq4p<w8ll4Gm
z7WgT7%i&}E9yLJ~HQ?wwYik*Oypqm29;Ymi<u5`C!c%JK+;ve!@Rj~5k8dt1nvlm}
z!iK}~S?c&U9F>s%p8-C&Q?x0M6`-)`;R}C?1_F8w7sKd=2wSKcmI+csOmfMN(yJOM
zm?)d5=Ql$2y$8Djq?AzIb5OCYR|9GGT$IT<Bh*&g3EZhwf?#gKD1BT5RWX8RuJs$E
zLd|c@ZdYZTw>Tgn-Kc?|%ZG~E8#jQFEU#tjRmPWkw@?4A^6{Ub+3>Yx8)0@X>z<pr
z3M@wqROJWM(K~U|&hn-Sel#nVm|j$Y_>r@lK8vX1$U>XG*D+HB#{R96s8vC$rNrm6
zl4?l5Z_BCUK*zC7d0PKERp9CxuEss5f@3}hc1JP;hV0D^_Zw6o=l6_idrKL%DXk9o
zodJuwCtoYCtH7}A_1>ElCA_o$J+yFTl?NRzg;zVMKwfHKA?=O=7#anKv|50{BZPwF
zfHHFKbyBss<)Ktn#`Rzt2vPQ}VslZ3Z|Kb<;YVbVGXLkc{aQ1W*Op2iEm6YUnIX1o
zt<v~*`|!kZHZu^?)U=;Viimv?7o*-RfzRyf%?gZW5Vwdo@}Me$YASRlYhDx^L!22y
z$AHtJGREDm3K0Fzl)cqO7{Mv$FMNCrY&k8LkP<16utC0fuipY_`d})>a0AH9I;M6d
zSq|Uc<Z^%e#D~%X4%$(FK;y!+P0bxy)Xzu-YO(R+#f7NUQ5C?FL3KE}QU=P$jyw*Y
z=fZHON?&3t9fK{br<9AOA@s6Ycau8@zIljU=mZ_{sfE20za^2aQQ3LYj18ULZ^pPE
znZi2pKzFCJ1UQ5W2j*_DBKY26TT5Y6c;-j9?x`0;FqybD#D@iBd&drySQ9iiu9>!Q
z62)(=skX2)>%bEjQmQb#5hKY<B>}&LA#R{QUckH#%O7XvJnS|?^PheR-wPp}hzaf4
z+_Dyq9T#_3J=p-R$%873*H$^bs(aGCXDwzN`vzCUHsIV%xvSe&_ft;a6P6C?Revo%
z8}lr|828glQkS0a!zg-bsOZKzsO*ag-ac;xtBlZRaie@tVF^3PYR!VvUU`@GSM$mJ
zv!@C-n(*Pf0ypC?QC74sE+jnYH-yMug=d}*d0{>+XPC~v9<F)ob0&8fA}NNshFPB%
zSBj)2K54O`)bD|X@jC-Zy)v;i?d3ti7&Y}t5Ib%iSkxn(4dAu@U8C$J9@GxJ-JILN
zfq}OZ5l>e6I$*%xu6Z91sG0p-v*uhd3$Rb7`>*={NXc@*b{^zXT^AzyxUp+rS9<nO
zJs4ZAw=;I;!5@n~u4auqsPSI+b=^5V=<io^$_nH`U+5L*pb}ohukoxYmD9sWowY5?
zWgfWhxpT6ihz}Rn{CzW5tqZ4jArIKPc<{H_A$4sfKN8Pe%-{&n#hsR&emm88F}@hW
zHPI`8%ad)RyZCfbcF0csSsE`+Ukqf}#U_LWYnKGP(n0Jg=P`C}K3LXee^GT5M$=ub
z<FsQspt;R>xZLE!r1DJ5hI=B|BcRyv*hB|MtUcc5S@1)0%GzN!zZl*p#f&<v)4^5u
zwNtWx`LQ&P1lnbBG}~~oKj@}`rS4SXRD%HS<tOS{Xi0)6J|Q!<n1;n17CVavg3vCV
z;Ar|Jg@S9+l9#T~V3>bv#{QNN9R8!SyKIxeq0H?MTF%fQNqSpp6bNJQ`_H>|Ad3g1
zx!oeCX>hl$(41}(LH;hiq!2?nB(+~mJ8^-A;-Fae6Dy+7efVR&y0JW11EVU$@6zyH
z$>{e*8*y~V4*5x1DnR7vKQ`_b8f3qEt-p3x0=3Ea4xe&Xgv}12)_7(e1lO<!6bnkB
z@T~9z`+g-5Z9Av)9CT0=!geS1iZsp-{c3v^s|<@QhLN<qRo%v9-xg=cpdxE}jx9|E
z#dSrKbP-)VO2>@9pDcFAOMAp-t3u{nzGrl%E`lt#>$w`qL9E-N|6jHmWSE&HYW4IG
z93>WYlUE+^Qcs>Myr7QPg2OTT!+NO68r?8DCXXrA^hfM|8i>b{qTu`btM5OV7+Ir$
z!C|cmVQ~sxTP+;(k2Qd-mioNJB}MR^Ym!MWprC9t;<rnHAvT$fYdCr-!KQ^R$e2qL
zyw6g~ioA?)(6F;xSyCBx3d7N!8#U3tle1>t*BC`7CypgGDMO!YVY`~PCSJs}6ut}D
zfR^oGwDwhjOwT{VjbABvq@CKL6uS`&8zR1I52?WCZ&``NE(*Tv&*4-#x9TSnP6@%*
zst`6N<L@VGfH0G2%{y-j55El^*Uzb<jy+?a({Xk9OHRD>IZ9vUl=%IO4^&Y!*ITyH
zNDZgFS_hRhfI}t5buD*QvE2G;lD}F7)@M$1pGpE|Um8cK9aY8o^4X?58D;Pf3JLLi
z1oWpSM7$}g;H!-(^YT^1EwTNNwI$4;bjo;p+Y1%wBnX8ZxwPuj=lXvw*_fevUoQKg
zk_s}0UhFill?Ct7r%|T9W^mdfcy=;e8PUA$hu%(0<Jr$$DTh|`_8QrS0oMFgJr~~B
zrp8Jj%p>SW_8v0`6h!9LzgEQ8pEi~ZW}?__C-m3W&I}InU7D<23P?}$$#k<4f+Hi-
zFci#Sb4U6_RgXN(LVP1DGWfB%|3vQ5SzxJX!oB>x94>Xd8ne;m#lPK$mzGNb4wnq^
zs5V(dK8q9cvgbks^JHdO7{EGLxXj-qgPk?fWe3{Xz~9J}erPq0L|<vYV18K|6G!<4
znkQH=8<Vqq>Ny=jBc4gy@+Hx{?hk`+=2|@XbUso<gpT}{bZN&`E?+W|NfK>mhIu{<
zZ8Fpp_Nk@3B7$PbP!)LJ8O4NunlgE#&8zu8#FQ^RTm-x#Ved94F`~&<usB)41dp2B
zo>a^Vfg!{Han4@`9Pnd2!@2rTMsk`I>Qe<V-4|iq_>uwrPTvn~?cIRp^dk`_TLf^6
zY3j{~R}6SxyD-9PumMXAT()wW{HQosy_Lqw2#p=fO%+#+(Kn#X#7g1Aliagw;*K-o
zL?D^bykvy0&Vl|~_Poe;k2}&V&x8xf=d9y=jc~qg!ZG^{4>W&TXSz)>A;FtFnZMl-
z-=5q}-&ezpsh5V11s|E=xOL{-LsLVPKv*iOkPG{|Ym)88*FbZg&o#K%0J}5O6@RvJ
zV*Q78Gqr;2;Mv)n7pZ1|{jXlXI3&xtI=^4WPPnlkVv;*~@SZ*nPClKwd6xs%&qrw#
zRj`6xtE;S8Ss#qE%7?sNIS}D};eoO~8&*WWZ*nfwgTRzsNP__f9y=#La%pCVBp0i9
zwt*hL6#k8%m~&v88D&ZRC?~$QHz#z|>!R+bPl{?J2cGlI4E(d@M$Oge-_mZnu+%(F
z&+gzrP_gb3Ztx)RaoXRPKXvdb<W1(Yoty|i#IvS9hZhb`bi;{s9rWxqemls>g)E!-
z{)y*&cr%`@_S;Ygi_@EQ`rdKjnsI*CgJFK0U3;O_XqX1J{sg|P7H-U!FF$ma7erOm
zr4E71G&J-sW@|^T-uLqnpY9PMEGh)KGHjt?vsH~)t0*s67<S%F8WaY*n9s~9ZW^p6
zoMs~4@<PAL=|GyVC`{P{gg5k1VLNct@nRMq{28vvxG#&LAa_E%JD&=Bo*RN0vHbXE
zs}|K!ECJh}Ns_YhR5)i`&{zr=fVshc_L*@~SgTprv=m5%++hB8i#S0X`D5&GN>65$
z^Y_&Fxl{2}?vBOh+d^=y;Fu0GkVOmY->nh5sd)YIPp$e#VMMP}qtdPAkaE#cf6rbj
z?weBseJG;%__X?nf{#3+3&qw($5A2md7|`Gh8TS8_^1;J3V3!i`;u%S6+Z-Ac5LR8
zfP%b;_WNgwcxLeNd+Qh#TW;xliQbb$t(3sN1LI1tE%mGTvw?;?+uC0=I!fci7E_Bj
z1r<d1(*-1RX}Fx#^xuwn8KgZwd4a`46>DxUj-*QI;Eky!rQm=p#_d^NFQ=%%K6u0>
zu2=^y-|~kVUFG2GwsdcQnL1dPn|Yc&b&+e3aVpzR9^N(4XEwKJKy2crYOlN=>cZ(?
z(o7Z5{$Na_uAYJm7034-W7J2-<G*$BtGPG%#={KtY)!oDx}{jZpbrtJE{R5IC2VOq
z{La@_3(IaJHl2)yP^O4htE^r1-@-8!GeQerZoS?7QrZY*Yo&Pq_A8?{+@Fd2mlo#T
zSdRue7-O4#tCD4|3IxU5@9B(c!6T|b{^rRIaI&>I-MvK>g^N$bzoclvCgd#ESFY}t
zjc%#e2UL+bzdf??yC$Y@J1|Gim_VfPk!#HsHCX9hsCzI?!B+#{4GQ9P)SGfMNnTTf
zgv#{i%0dkc8E}8TDguo3CLi1NTn+c`*XT4TuIdx&PUpM~IEh^SWBo`CyauY>KlZ4i
z^vSk|Sxjd59{>RV{|uLRIF^4H#f|LjJ+t@g^?L2~95ghHiYU=Wg-V5tXb(|VB56s5
zl#$j?&m$u#q$ndIl$|a6=ihUE|G2-`b>HW6j;8V0<z>Oz$ny%w5DwJ9+DG?h?|ayQ
zJ7D!288L0}->Q4Yvs(@Iht&r*-nPNlE6(0w7qp;4#Q0pcRe__6sQ!mfHlPI+x%kv;
zLigqVyJ9Lz=*WDsPOi%aXWQwSmWvt?Zt61XQBlB<lFd%D-!{<T+}FtD*8sCf!l~O>
z27Kq(PL|f&z|~51R%Dqvij#NO-iw!jk`ljYN1hE>3Kuzk_NpRIwkJkrl_=!aew^Zr
zvH{16vj^kLR1ig*zVUgB5X4jV#aGzaVD!>!hqe@Duz6*;WnAaOsuSWr?oR{yKbXnW
z0ZP~#FUkGSjthsxo!cfJ1E~|NYLWJei17Q|Q1OHv`vvq(zqkMa%hz`ox+vgo&=uqJ
z?^%!<b;5_^9|5tj!DXlEa@b_Pdu$8)JRz?$E5K<>;Ox^GML%^JoU%W)#`gL&q4IB~
z0MBJ>ux*R0(Xo=k-r6{yU#e5YQJKdE{dHE*OfF5^5F~*TmFBJXF%v{=`4I~VSu137
z%DmnDRSfKFt9xHO9VcX-y)RDmwnW|Lkg*;YQHbmjym{czIHC9Bw7J@I3v`%$6<nMV
zhG?+#?Wz26;$>N{-Fhwy9Q*R!Vx~+8OpU}#!FwkNG9^IE%hMd|d<$<s*dvJalT-JC
zk4zHg)``4HFU-Jsx@fI$6hHd(QZ=fprihJgN<l&rW{{uqTdUW~2bGKUI<9-CiRgXS
z?HwVexW{efk{84a`6o#kS%$O3=>vIdh1*TwnX#oKc`Xmhxs!G@8O{@nU4uvOt~bHV
zxKwBSCT?(AzKRjqxkx;Jk~$gx#u#4r=k$)pa^aX_*+7013)+osqkhwk;UlVjWYr8O
zygqE*LrJhfRXj2>{gDxxDpb#`PvFFiam@{LA9h^5DCSM68R2N{$suVsPUt0Y#g%?s
zhV4J<b6g)9;%!}@bD|w5T0<C3QL8w?C*xh@M>9myDhgv;I1zBR&6?*M7h?AhK9qjR
zL<M`LS;bXO7}e_Uca7wMbHM7g!E2ZpO`TyIAK-+DeC*GBJ3ffiAD(&GVgO%{&3|6`
zbHP`IXZEEUKLp>ifB1IH0FgB&oLR!$IQf*pBs2vPKYldVRCMWm5550UBR7KU<i)ig
z3gJP^*#-U=4AgB+yx8}S2P@J)c&Aniqr6aLdB#o#TsBGG8v4wOZRaR&B_2`azcc1>
z6Jp@Rd;O4b_T>;yxbZRELkw3*NA<)CeH^^QI)BT9ANkuJA39tij(<JQBQ0n2QD&L-
zB&AsZ?`)UV7q6GZ!{UcyW%l|o(HM9+0U>aPU$K!Ml){UHA{Q6L^}(*r)pScs7~GfS
z>SS|dkS}gh^stc*o)z`V+L|JW(E0B&<FXuDJji*^6gnQC;aYdeN)&0ziv_1IDxgy>
zpxNXw9a_U1#j_8HK_Y6`<NnQxko5X+>iP~kCZFmaKmJS{>w;KD%#JDH*1SiK<^ej4
z*Kg@75?q=u{HM}XhBCh9WmXQv(_vZRTqJ%;3Zub3;t|~{X#SNqNpGbic{I#%R!#<f
zLDw9v8>-=Ad#~zBb$uu#d`$}bD2qlS*2m+TI-ZWq80`(zM{KV8DU(Eb5XpzfmQQLR
z)L?-&QLm332JBoGK`RitvV-2gOAEzPIqp+V3_J;BZtQ=d2=3xeTY*|_WE{x(wxyc^
zJw`x=IjMx&r-w#uO?1)kPy6)ox&fR@o~<&iRmMv}$15Z8G!U7|u6g^I5TrIW1}@Dl
zEb`@uM3WvEeDYdfHyI+wUvTXGf-3$LbF6V)q~lVFmN?VP2yaK*E^Luh$5^w6y;Oug
zmb+H_d^m56ey28$P;CvEWFqiIn?BscUS+SUGC{z*$IHJMXd>;V{peN&27(7$tG=t6
zfw8P8YMZte8mLFl)r}c2=X$}pJkA`g@={{SyxL$M45vvbF<?L5ey*I$5_4_#1z$gD
z<B(BIT4;+t{PcE5?vAnof31H`$N?QB2V`G9yGI{^9a=%cBi3-(UB(~Kx}@L8-S2gj
z4!t#8vN;-n&o6V8^NPA4_jUO#me6p!RE}+TC9t`zYNnH}3wmZ=KJQx{Ty^WPZ*;YR
zXndy2Mjl-#lyoGi25aGK#N9U>OMJQJN0$!C(ZQb@!||Og8ptY+x;m?23ni)Qgh?44
zY}S*}c^{yP2B9}Uq<wAiIo1C2I(Kd8Dtg9bepkYVM|s{WuGk_q^-yT?el6H~3_6V6
zQUI4y)mPCZTNFLBRaxh%2|WSZ7R67}_~g8}O5~g^f|asUa+Ni3P3StSldCxV^67?)
zUbYC0$@U3vQbSFg?8}J_!kFmK+hMG33;xBMXAhiG#eS#YDZL0jxW|{5Shm?<RYKa?
zFG?yPedk7&d2+yXgP>OAWg93Qmg@E`Q3AEb--h3q1qK0G#>#p&Xt^?fc)7PC^qU^V
zo}QW_6lR3)c6|h*O!5QWv=p%1SLbx1@d&ZGy#A}OH}GHZ9{sR;vfx%LAua#?Au?F^
zHL=YT7_qI`7-uC7H+i4u_VjjQ;)s<2K_f6`7E;r<Ac6R8BW97i8;H+&t8FH{tWhZx
zIPK6Yh69i9xE?tFi8x-+Z1o_)3Z7o_U-cG5FlSoM;q;`8IKJ{r{H9Nqn9!n4^jHZa
z*?EikYTkE*Rk&g89Ue<~Ft_v%ISJyC=%$rhl1d4ih_#6W>n#xf!@kxzXgOvzRsVGQ
zR}v3%W4U%Fn8Sofb4cpvf#zc!>zc+|V(?0OFI)T4-mVTJv$DD1>38(z%k+BU-foYo
z3Wgcdve|Eo<a1!bdCRrs!p#Jm-KOcQ7frz>@LOJLh8=vnO@u^v+lj63l^ZR(OpqwB
zwQKey8+eA}i|lMW3HPK?%?B$@aQN3hYY9tMyiUA%+$ZBVk)OcQmigEiU(c}!kLa@C
zl=<`LyqbMP^WU)V@}kCQ+asU<JavKKliex3p>mM;-hQdOH_8aQo&_vD2J^&F%Gz6Z
zONI&A*)L8*qlS1Cdr|I?>>Od6JN|~u871T-YDGl$8-m??;0TN3EHQGnhFOz2PMnNC
zI6-tW(W&xuvv~Oo!F#cYZz6A!uy(P(>b;AJ!@||>{b4hNKx)@{(Yk+xg*nYRq|*T7
z&!3W~0%iy{weXn?u36%t3tQsB{RYU@dr+5{GDGO9W(DSKohMkna(px&V<7Q5kMNC|
z8A7JKN-y){B5|yv@=aG11FrtZzC67;OAKd^a1abuRMa|m`iU(0+ozlVWx34}ds5c1
zmB+C`y328@<)J?AJN>>qyK$ZfG02{`<6Q>xo2O%8qYw9Q0-Fm?E)cJaaye^naUe&p
z<j;;`I-K%{j)%7`5{Z8|xaT@?p`@UCb1VxT?A8_P>tC@T%=ydUP8A+x-dn!beS;oK
zvnH#2(^+v_fyF3Yjt^GkhSLgnX*ja}*MAka*%0TIanOz6$ACd2@3uu<IBeV--Tamv
z?YY}kUS1W1_!kb(J3hMDG2fr+HNOnU%Km#G!Xu0y4>?U9HS3^Fxvk&XlM~Ku#6sFW
z5m?wtSUPRh!Q{6!(If3#xHY=>V*5`~{J8ou_)eEL=xjf>QkQw~MvtlM8Y&LPj^T!u
z2yIO5JNw@WPd>2vHIIjzNJ8_M+^v)9+DJFroh`hbA8(@*o4!j+V^3#s--dQAY(D%u
zAm@@G9DMhl{-Pp_ecrxG+n;E`N3}<yYFr3+(#Qw7Zt_shxFw}<O$(Ea({f3K2zW1D
z*}CV&3YZ4Y=lex#Vg24~-o2Tk@QXSA(o9(iuer|=N%ypnJn`&{pRPEn-p_WoL@J}A
zEj({`lNRFdIDE^jlK{W;gTk0`6^Od}*s2+7V?l1bx+hr*dDfef??<ZPHf!9m=P$Hz
zAoNB)JxT_Tf*9ksR%jr^<n7}_`*py<S1-M=#QW>MheZeLG?ANsG)>iM$;U-@C(vFh
zpz)2{_ndfb6tW){n+c#{!@yU6k28u0Ppf#dZM!ax<}w_NYxO{X+i=D7wGvKPUt){a
z&;!4-+x(QdJ`($1RCO&Vqnk~L`Jj)E*=LLkj)n|OT0~ua<EV-w=`(!IpY-9?$um*x
zYJjgIQQnf7YKV__?a)nNpw#n}(!o1SaPIWo&RF7vz-qp!dBOmmquVls#f;Drt-q1a
zO%qp4ZtP!CWq^$NW1LrVjd8{%<DuVuEzDULv5jaj5t)*IcjrM<WT)t#o&KSXv-Gl|
zWzI~vt9Kdu*qP%rsSCdu9RwXe;WA~$gyCY#{yVysP&&I+cXC7*tNm8j`u;RP@JG>e
zTV<@VET!Pn`&TqHBy`Z{Ee)V^PS_=H$)DTw9g<$z>!IfR!UpDM26Q8Nd~G`cIWlsJ
zBUul6Wn~w;mvT(kzy`N%`8K#YB(r8AT@SS4WmO5MX$bS<Q>@u*3#YIswL6}A$cWwH
z{KiWg8dH<1<hU*NmQ_)sUuc+I2zzvuRRgqwm9v|?>=3d&rb~v61_#dOUvI9cKxo9j
zfbEVQ9(QV}D2?bqs!!yXw2~sUmb;z0`PvS>l`n;kKGH^}%R&CU7t-Jk`qnZ2%non9
z@^vr`v~c(@KUwui6sO9FABQg3VJu;>B`9SnS84P6tn*)vlUv1JdDz(@{6N0Q$zC<2
zHJCqX>S04`nEdDMeYS`eb4n1QsiG<FZo&0?6U1-P{Sp1AY=Hv-o7e-C(P!*g{yD6j
z$ZD4Mni8-@`h@VU+CoJLIoG9mZ7d^q${O3`CE1{1r!U8(kOG|fOZg&(y2<T>=`z96
zHi+HOwTZh`235nE-`!nDNb?h)&o`w3^ERA6`Wqw>6mu*ub!>vPDAY~QQvzyYO(euv
z#Zl+$vM{PJO%}khFJcpcpz#Nq*}Ftg(<&-fs4z=5CwsYG^<CnoaMXvc5kVZ`2|x4L
zV2-pt{zugRycPWRw<z1i@Igb&>Awx}bEJjOZ@mLKmiRTiz4c@~7p(0f<Vn9dGCBOz
zkyFhUupZXC)jr1#>Ci<Ay|bk1X&QHskOltverOA<V8M%qn4^Olvt&_SRAj${IUGH;
z2RlE{62Y4@FQwSdkiM#uH-qBM;63|dqr;0yBHe(#<+;N&c{zVD;Zdt8)~K{hY-5ZP
z`8m7aYi#{To~nK#DnU1e+<;h5;m!f#ebeVll1HY<4u4$>kMkx-`*o3betkDle9Y=W
zdio?8`d{A#`A%b88E8u0A<{-<*As_)dM3!roRNE$uQEo_YU*qM+!x};uYdl`%@d@i
z{7`Fqwh^qgqSrljd`Dapb}4rFHBLs$%#CiBG{VkPYg|XnPY}0<x3cvokCVG4D^u59
zFhl_@==$I4Vv?6$u6*M7I0;pq+R#}hswCZ>2n$w|$~^1F+QY`lNB0)f%Z@T}IZv_l
z`gA?1yv1PTP4+mcUTp2TY}f$tZmD;NdYVax=g)^DIVQ-OPiIDD4jUl!m*hDPvv%^k
z_>qu%mnO*O_K8h{OME0)ha`@C|3yl0NjN_@og}@lvrFv_V?d>9U}cI&HyITYkQ^a8
zMcPWKSsvtMAmbLRyzl2f<jnWzE1a_b$PXvZPmUz&qt0eS;Xk5}<kk?If95<*(q+iP
zzNI@3+PwMTe+2{Nz$qsa6wQ#g>+*MB5252fmh*$@hJVQv)nc7)hdEL&`m%#`mLAeM
zlXfO{50f5TOecGp1(Lfo&f5JK4ceP?bw3lM<m35Fx3z*SR6w-$dsihII?r=7iai-4
zXI!wxg3d}gWnB|jSmNNx%X_Q>8B6=^@w{F35F6#qU%aETKnE^){g;;2O_IDWaT8nX
z*r`I=$NM2%IxzcvUyAM8KQc*1XTx)M4(e~Z>&IQYwUI3&NLB{Ukn5{^qiwmlsPn}e
zY%9yOU=TVM+ZQoM>I!mp1$1&#97$s09CR&&4*cdaFIpfCj{MSRAL6AjZS>^QT}_zn
zs{V4|8VhB1D|NNHE<a`NAHAkaP7~+vq;5*-V5NR{EB*4kCrIu8=V@DhR|98yuk1?L
z$WCnu_Wn?zElj!Y=ikS{(17OgM*EP?WmJx1rTd8oB2+84%&I3J)zSDk>Th}~C&dpn
zNr9DO)Stp11M`9Eh#qSxNDk$u&UrE&0(c~-guI8{p_=MYJ^aB(_X02VmRU?s{U=Fr
zCS4&X2Gt-M_U)}_*>Y-tw(IQ;F&V1uOqbHlay5+CJznK$EJ*cNtH0T~Q;v$<qv^_;
zuZA(>+-)VpLR5-lYu3v)1<FD(kk7P84JyH*aq{~_D7Az)PdPp)QfH5?>T7IJ!>ao^
z;vqAll&F4~pro}jRqnrbLQ-5EVSP2eqxs?#*U#8k-dYu^b)~4^mk@REsgGozz9vac
zIA`vE6{bdU3-$D-aBASGm}L0ZL}|)BEI49?ody*~f1L2LOarEoox(CDvecufw1dJb
zTGThoiYBesnn>KSFyAh&K;7)svhJ4Dp|+f?|8i<b3j?2TiR@XcNI4z}HV~AfQNI2K
zH{L99e|_(jEb*I4l%lbs-3tvm6_CH<Q8$x@i(fbe{TGy}m=lJ2nm6>R1B!wP_gv_(
z{g(T?=CCSdqHuP0MIwWG#M+r;-m8y4Y7rm&hSaE<UekWpNCWEJfJ<<%y8*WT9gGtR
z)S%1+ultreF{wZ9-6t2Pndl$QNnae-q)u-r-N8S@q?kLC{M)LGmio7jeM5jY)ih`Q
zVd#h<Rl-LTU#KuaHly-sW`hoOhN(OvlWj=VWk_jn`)!5-wjM)c1se77qX6foR70vl
z`-YFayd_rjnFt@S)T6X41TK=shE(NvqeY>IHM%(N4bG_0sY=1076-zZ)HzyX-Sag7
zvvoGZ<pZ6vm}NW)@-?8Wt(*M5ZM1<%c{X#Mus-#q_iw~sb_S*XvP$Kb%~C%VaC>Yc
zrcX)ksXTnAK#x*&&5aBfumg?U{(RqeI_0(M%+(!}+SIqttZnO;czUAYhvNx4os!9B
zoj03Sr}m|EuPswviFt$LdOSvYRHBgG$(}#TROZ+vjhMYF(ViBWD?F@A-Ct!XzOPZ9
zQaWA5b|`oybky?5vj=r3?y=n?d@d5yv;O9-^*dH#v3Rt=sZfhL!+2WjJSITx-4XYM
zMRg^HS03NLzEOkXJtrdB*u+L{w+xQa{b&bAuL~wt-D*@HSQDPl4wKu*$0YK%+aa0z
zP1~{_6)MV;PgVV3EKy*0=b6t>TiCB3b><vUqI#Xo#F|$Q5QcNN<Bhi3;-$!8{`(Uv
zC>CF{)N5?h#EOt-e>!VyP<d?mYc^9kD*Z<WM{YU`xO7j;NvyPiMpo>P%UM!X<IC2}
z;WTzUefH_>-ZwyR>ir23S8+;Y+uFvKTn?1(Fmyg|4D9~4ownUlgraGzHmBIRu<W(o
z3s!#ums5^UDVGaSVymC~_Lp-(_tY6$R<Jd`?Wq28?J5r?K}GE4kl}{QkEBtD7%K#^
zs6>y}FQY70s_fud!HxH2SAV{KVhQyK<C9;nvQRQ^YZh+}apB1Lk>KNv77*Ca&9@?O
znj9i(`tID~!ZF5s(;v$%a8$PXOWn0mQfQ0k{`Zz#ICN91n^<R#vItizw)!5jfXrTI
z)5HmMd032HHG{wL*m&BL7Lt4WU(t;boDiSIUY8|aJ9`}asVYH{%WHV9HR*FA#mRrP
zj$w-MDF@y6{G|lZ)Xd&6&4G~J<pTp(OfYKCA^LJd6R{!TXc+l}1H1Eh7EFhXQ8_yN
zJ+rivIKg}E_}?X+x49|7!_^pCak@R_W_`rd`I5cua~w#x!+C=Doe`1~6TGg73==G8
z&PN=!=0wNO;x)X6Mp!rTsb->flz1oY9xZyG6Xu%V2X(Uzk;}4Ya^<cG;$CpC@0<=7
z()e@sIcpfAt%x@ww{D84ez!ixx|s_XI#`N4A2D%!N<Hh6&J1D4UO3#7%Z=mQVK(-9
zOz>O`AiYE8i0Ah@J!G?a@GWGWFaIk8Ol@!YpkA^-gc)XWN`B^r?{HCAp}hfw-J+&>
zF0df=I+xY@70aPNWXR^!%0R{1x)0$6tT4~%z3!FDk00-<)=dX7P*~FU;#Myk?#C3W
z7}*J8t(m7&i#P+qR`=^BbeF-&wfE<Aj1UG>;(u$s)<?^r`+>hv958>)aEeM0MzR3^
z8qK}>*!HYe<7W>iLN(VOi7F7mx9SURT4MSb{Iu^gpD#B8v&KXA{}sjVV|I(0Npv`z
zFT7XC$_tbDo{)F;;>e2SuPYa%gPD^yCjN>Kg_rJbQYl&LXD!*QoKp1gj+Q_kjN^x7
zQd_n5HYr%_)jX=m)Pw8&_==GjK}6BJbdHG2Ap5g?NL?EZnvR)n!;M0i*qgX3Xj~TT
z_i84s(`lFrlYY-+5y1*;hndU&<e{LhSP^%WhFLkSv(DC{C~`eWY!y~SuN3>y)w^gY
z@fV9LNfZOe<{|;oObPWP)Ia6{8ZO0{ZtPkn0gjj-N{5as!*}JSx@&PXgvUjA_g<Am
zQ{dmJ@lq8`ei+l3Xr`fFW<sdMSQ-%uxqBQ`)v)>e@LBhDdWaS*^=6xqL5g#G&D%tE
zD3o+IaChmUP${D3Q<EI>R69j-L^PqgQA+Mc4jmmPcembeP(Tp5Lv~N97S^c!tMqcw
zhxdh_3yMLC5O;1V?N!%-*g%4N!jL|E3)(V@Vw6y=Dk@l=r;9e5Vhfpv3^1<e2>pDj
zjO+1J6aNhKaAmRi&*w-3yjM7_Vce{OHC$CE?%tu}XX~+I?ocL9PamSi@~Gj!7In^y
zV0~;%s99%w-4H9p?}xUSsY6-JMRbCjfknRbq@Q1naJslzOv_sX)(`IqF(Vi-G})o_
zRo?`f%NBTUUepBdz`j7CY6g6mcJnTeO|eqvL++WS|2T(?ZVwq@U`?RPe_1BxcocSF
z)3roxsH!@;s&p}M=hBZV;d%?in!hs@I;4Zg*^ZZShk<r6v+|Z>R^W@JU3FE~g<Qcy
zQc;BgjZdzhDg_9rU6B8v^KePOeYLaFPamZ(B%A8i0dJdGdbdvLVwEaeNjeK1?sfmF
zq89+qX9GW#1!%Z&;6ZA`dtI>nb#tmuvw<u7javmhy6AkZ=Dx;88;u7e+rKH=LVHtW
zeZYBL@c9-Oxt-BKMU$tL$OT)pzIo%o+pB}WLoJIPnX1T8R!B~(wgu}Sm%SlkI@l!p
zphdP^2|=Ir#Lbub=|V#G&N~9y2%Pp%5bu}Ad6y%q#GEaxSmVe3wrQd$5qqE9kivCs
z?xOWQwisH+#cYVtz$)oW!@KfD5qja-mi{-km@1jHFi=%TY$;2_-kSn2Nea8C8)l1=
z`t!@1vsA&xe@Ei?04I#MpL$7X+oIz7w2`v53RrlWj4F4qKvu1zM!kB8J9@e-*B&e3
zlP_^-b<+ePw>HrEq>l}7%e?d+T@i7?GL!*VA93(V_NVQ0fJdKjTi_Xa<kcT$pEGVG
zx&?OnuZab|*G;9%SIVH#YIJ|i*hAu@|LyNaD}ZfXvZAp}DX@3PBx>@0APpqcB(aM?
zh|`s5;VN;2A96X7Z~C2-ZF)Vge8C!;5&|%f6-Cy&?5|HpTS<rY8A)MzR?v=e{H}UR
z7>0yx^}g5bq~5~DQOyoZT;9`kHEfk2XvdC}J~iwh%N4bF9!OZi`;3<}M;9NWU2@bt
z^4iJ2Yl~ZyHd)~9#}xI@W^NP|N3(oyX(OMO9=dZU!5p)tJ~IbZIq|7L(cj3tg}fVn
zcMp4u8Pbm5bbR+8J3a&-m1?d1MlM%37?jpDgMmK(2x~ekR?UR@eQK>EqbxjXvqDX=
z@!0*<{O1-41>1YRw{$;{Nx29+@x=s=&&J|*uAL)3FrSV!hW|&pNr}p@qnp5qZABvQ
z$!TKT(LQstb;?rDVzzf)GY0Sa?yO{~DdKGS{+AN(pAxTMERzwLGQvPrj<$*51d&><
z?AS8-jtD$<^G(JsBRqGpJ@>_Zj8M1}&~&_|n()<r?0opMA$TPm^JNA{h;Z&3T-zP%
ziS&rzVh1}zWLo~?h%Fl?Ho2`xIdi*-h?c5vm43~H)9u4)!_WQ_-1dD{Hox15phXec
z=Y~uKO@*FmT{T2_j4UN0v0udUwpLE|0t5URImH)mHApOExrx7j)kUl(Ua|EV8o;`w
z?t%W*0pi=Y<HuXP{}7uGx&GVqdg)$`RirJL14Ie^Q7DIUAK{_COI6E`f#!;ajtG?j
zVqc(nY|_X8v2B~x_|{r|ggtaGpWQY<SkW3<*Z%lRl$CCptoPDK^xQv>=7s^Hz2-pO
z{bM6UpN!Kh$xb??Px~r4#|;wFsf8Z=LSw|pVIGxk0XjbYbUd0EJw*Hu0096043~#H
zmj4&W?Y(FAer%p$ulrb`B)g2VN+?2hQT>o?g%X8!5|W~j`(tEhwvbUu#n*`J_45y$
z>pIst=Y3u;6_=~J$6Eej|2SIfcR&p;Q|GtzH_v06IubD*xht4MM(082XjRaaIxNI~
zX8{|U;^pqRx`rh=7M+-^QGvsv83!sN|6<%-0>4G>ZD1K+Ts0qTDZ|D+7v`6ti&*VO
zobiXLEiB9DSbU*{GUUX@iUedXVLxv3QM}xDF;0Pq9}{^>5HR(mA-VS-cGUk4^&vWH
z(DqL;OjuBa)M^<qP0bZ-ZA5zC&nOxgi@>tWY!rb(OZ@wK(<=7hLDj->PCBSE8`jUN
zQh?;~%rArI*Ri3}Xq{7C^x&0}pAame0PTXqQAD3jOzZhoht=ndAUJF|@#wld2-Nt)
z(uHj-HJ^&jt%Vtqj747GXP1WpiDUO--tS^uPXf<rvao?_kInW{76EuKv^*YAp@x>1
zkHZp@I3Vt3X2E_j0wmvm*Kj(U20G8WQTmIypex^SDYQxs6wB#HE{f5C+O1euX$c<a
z;t!9%<R}N(F*+89dgy`oERj^#$P3N^FXk$!<)D|EqU&112m&$oCt6ea;jzcn_{4fy
zV0au!4tv22+U(c$QZ5Msbu%UK;}uzWbSPM|Y?c*t+_<Y;?hC=QyeIeiy=CD9=fHj^
z4-Vk+h{=sx6@eXpuIoY$vfwW*<F=N_1>WDnOocCr!@qULV_mMYAgCJa&b!48)#73{
z+eMOKI8(2EBUTp9kBsCy=J3K=w#0aas5G47Dc<)Umj$<WyACEhepu<-zVHA<K)b)W
zS_b$pv^hi(<iMXkm+Pp8ATVs^#3lvFfem?d&ZkBW()i5n<Uk0L7rKi6naIQW#vC8{
zXacOf3S*lL7lA?DBf|u;B1m8E7MDIJ57EmRH140oz*>O1us}x{fN9>zw`^~YnfiaK
ziIQN`{Tv^%RfU?}(BH{KC1?nFvVS;53i5?M9^MR9hwFx?^c?6_;AC2L3-6jVh~L^T
zFVabbpWBB&YH6rJFL{>wW4J7|8kF?u4wB#=b;s31-b84a_^<r{6#)VgC|~Kj$*_Gl
zi!wV(g5ue<4B5SXsbb#=`%yxHq5F%WG#M1giZP7xl~sh~)(uLjrv?bhN)&2`Xu^M9
zzB+d0O3=yjg;sh}18(l_atg(3gSDM~M4+4s?3n3{jmc<2TUr|1={j9_!92&%5vvN1
ze{|c#321`Wpb8ygHvrC7=D3ijYM^obsu7`514L=>s$TLpg2ETGZp1=$@OLdwmz|>k
ze`unv#W8@T$L}(LK!nbZf66`Hlc75EnT>6@F}UD^Bqt{#Q2SOpf)feuH)Ryu4l#i@
z%_T_zM~R@_MiYNkP94q$e2Am6G=&<=)v0JzBFNz}T~Z`v2rJSxOj$66-1-YOhfCBU
zT$q7O*&x8S<Y4bfUo)s=<sH6VtOiD=j$<y*rQ!bd_n7q)GtjVZ!n3SYLHNVi%{*!`
zc&p7H=l|LaE_k{ca6DHAX%mKMCRu(sXjgi-wZIJO=f4`Ue^-QUtLC;_v~0kv9Q)1N
z#SD@!e0dZ&ClBe}LrJdNI~YrLIvaW26ntMh`b|vAL3y1oXVu9`?AF&RRdT#3yfQMF
zq3@G{H8ba0&U54VpYKXcZ+1-J#Hmk%eGO8e;4atU_h%VjYl^L;4>bXW{1jpLFbNn=
zSQ@tRr9wgsHxT!CW023DuItYhfg=lni(^rANW=f;(`<WV=u*n`iT))BO-yEQT2C;d
z&>@X}$yNZHM?dpfBKaUAUjJFWCo?*E_Evz05x`l|)zaPl-0=B;rUh3K3rZD`c@Y(b
zf#Sz8Ys(jGa4yi%)WDh*g&A<w>s>MeVfotx6IVu{f16$9m%)m}B#9RVa}1&U0$<SP
zWg55^UM-xG$cj=ggsVTRGJq#4zBgh27UuMp@y6GKtf>CPRTGCXePHyq;|M<e4>Jso
zt4>>CK{~NUj+VUoV4K9kw9_<=japEhID3Ny4KGIPAv--NA1jL%b^3~>h}bJs>#(3;
zbXIyTPZunq=g=gj1`A^dDa-xEjM}*vw2Xf1z}nUD#XopAp7WHoap);CQodHwyKJNb
zSa)z<oY4fX8Tu;g<W*)=Dm&1bcUv1a+btS-{eR<3KELXV6PVH8$Ws0qDs4EVkZIQ3
zKaZOq^&T3y$Beofx$Kt%w7|&n(t9oICH$6Ujq}-`%xHAno11k+6CU%hA3qkjf`3tp
z|K?!Bf;bjJ=^Je|!GQWx1()kOUOC+*zd6Q&j-D<*Hs7TIO@h`DyW(4T^_Qc~5A#^j
zhn@Db7pyga-k>;fv~33uSp4@s<^mhaCtt2}8=!#JG3QtH6;x;}nA-ntDm$wFc=2%h
zF$(aA8i`J?Qln+zA`8bh4n(^<nJG3$2Gh)X88Ks8)NL2R9JP-NJ>KW<E|)+C?#QUc
zvP?Q8;x7Jh=LZ*Zi&M+)lpw?T!9Ukt{Gvy*O>qn&o!n@4S9cZ~NpQ*OCO69=MwEO*
zg|4NY2UU5Pkh}ay@V|@s`M%9esMJfwg84fyvIr?}tQQ~w%hPdH=e_=qKA5!U668lU
zWBEbnyNKY_G}UVLmlfIlt##t`7eI%HQ0e6)A~2N~-^j0EN8%Pgg3N~m(ZI>i)LsXP
zz@MA9la|JbB1Rvr&HD+VkK<HrErLYYbmIzr@{S8BsE?W&2#KJN;zJzM!|HH<fa&bT
z&)leSA(dNmMid1&<+E1htAomz-k{|+5Av_9TYEY#j+&hlUDkuup<}QrBT$DASt{6`
zN<A-$6f*12ih8QUYpEs%y%c_=6VsDkn<s@Pn3oee1Jt2Udwp_XNdRpZYY(xtNuytK
z9XDul)Zuc+%R_{SedwKhh4Wi_S)_CaDf5o2gORQk?+~{zI+Dj`80{d3!W2VfI^~HV
z@ZW%qdYcIHE~t8JP)<O3OJ=rZVMIuM&!e`GD~43UDjJn}6_8b-&<ybl5$uwEyUk)H
z(6GzufBtcb$k=*4+R2dwntHA}9d9L3s7heg-)SY3l5pb?!wd<IBtfP^n-t0ju6Yz}
zuY$OW4@<A#A%g<XC#i)m(&)wCks<XmRrDyw{9Hm11w7*0DCG+>$Op=C)<rcm@nR|X
z%rOm^rbIIvvdST<3Ern>tVA@+b8GBzfF?-Sgmk`=B_Q(|{`RCKBD#W)?n>lp!EL$R
z17~#P(IDfY!pFaeD65mG6f&$0D?DojtDt~JGk8<Z%8}5@Y?9VXEnWCmW?*noM-lz-
zJ|M}UPeOt_$$@SU^kBSL^v|TA5^@)6W<M=MLLOq<ZEB(hK;0=9&OD@qLUUK_sYZzC
z`JBs@&|E{Xp6;-g4Od3wK$|)aPa^W(Ejx}eV9+_kx-2!Nj07gB^}K!6QOWxua|SZN
zbaNwRf}nzYtVG$RD^yXPt%5CS0N|iTUtTsv1@-J6S!sQ!j4qO_SO$(8!zfiil_-k}
zsxFt^)^k-vY({s^{2nw0s?XQ>;HfgYv3P5=W1N5rqSZcRtC_&6=XmmKer2SyRo`29
zP!?IGng2BpGy$dOceEvKmC#&BaVvk76l(2znbw!Nm;dJDmQ}|Uk<;MtjG?1A@?1Ie
z<j_qM5O4eA_s>EB<rHM~eTf%BGA2RRzY|S>J#Bu*h*utU6S9lNxcHIa`2vM&$4#II
zMfNzf%b~uw8=hip+(`7s{@qep6VS_Wy*3*pi+((z%K1jmiqOJxY2%17yl<5kJi#G@
zK5S6cF#M%M#CN~!u_R--pDes|vP=pU70voV=`PMN@=U`*$rwUKH<sG%BvIkML!;QC
zRXpC8XE?hJ;9N<1+&3z5<i{^sapUd+-gEVP@@X%Cfrf@>SurB0P?Ot8WO)kLPEMYJ
zB@7DVvYK)PgwT^rcdd{+V|aFBFDFF?gS_|opX7%G&<#4@ve3~%+)Uy?334=o>(RHh
zHe2{mj5(XwneQDqX*H|WE7=gNu4d>2kMJO|uEGiB<4riR^SJ<TlL1(S4S5WRa--hg
z?Yh)d2p>6Z{VsG@9~|A@r;2lPqDqNRE8&fe_^P9g>5#EL1Tsvm4eGHWw{AJ@)aF)v
zXuBjiFj)`Or;l6ORWYOH!-k%3tb6cpF5bHupLD@Po9|R)1S3+oXv4YieGm`6&wEKi
zK^H8pY>vOZNRQla@VXsw8^S$%FUfLU)PbT8F;jk>v`Aq0zrMeo<9LP5@VUvoy9jXZ
z$a-l<gX9wg^89{($1lr2y?IVw8;ZW0q^)pKqe+(|x2UbA@Q}V9fr4T!C=yM&Uqic>
z|0f=p(scg8S1KFgwOF(uEJ(dG?cfexLRX?x={t*8TxC2b7o`d7m6~Q(r?&6|D;8hw
zWh~%MgqV#3(;C3m-Bj<|zlm?7<RMDrB5q$9^gDfz6KM-P?cdUG;=*k7LEb_CaJEZ)
zAHNJ!ApdT=pK9C&KGQ2P>>ja#Z{_|^PS}M4_v6$X{?pvR^<OJ#FkD~5Tb2=**$8=$
zC+Bl_6gKclUd8N@mJPiBP)nt?7a2mcM;4?VH}EShfpil*+xRKYVO6!gyi#O%SkU)!
z1Fu+Bvdy@(iwB;Y_%{_r0$07kN;RuZyi@qqz$s>GMCFty5yL`)g`z8*99&!YR6nos
z`BOBAcG_otzK946bKPu{Oxt+Sl;Z5MQCf5_f-2lumk7;b>`gdj2PYz<GRYu%L_B%~
zC6uW{#ZkU(n`^uHc2WT?vlt_4{9s2_yr2ebOHNy-u2G@c=Eqp}EED2qnO?FqPy@#Z
zl>p{&YLqM=Z5TGmf|_1AM~!8v!drvI;o2}7G+TXiHlKza^#yx}ex6eS?}~Dbzt?Ed
z!^#vE(qT?i%kb%YtFsCu(`AbL_Ryh*DKh!}6c;isuz&8^p$r~dCSw9B3}`kqcuU8a
z2dN!rG`zUyr^NP!pC)CD$YzMLX8eX1IVYSPQyfqNg)mFx@5qd<H8MZ;vg1c7l(+-8
z1C-!-{PetqEGwGhcsnb~CWr)^$C(cE?D+_%weElfJ9_HnX1F%957FvR{h{hogoNhM
z614-I$i48}d*3BtB=lZCyzz$O9)DJ1PJ>+NL2PA8m8=-repe#16}jiRvDN>aM0pTr
zSU&sr%Mz&Pvk!Yhh$1)%UXbg(%!`UHd3-ZrkV1SBZzGGY?0E=pM8j!%epGl(KdseU
z8d<#9cH*g11i}|%k=iE$h+B%;<l-k8R6zUOmB6b6vAX-)_yYGKPdB(b;3<d1Cw2<T
zvz6dUT5VZ^gD`S@7boUSC681bnpo*fl;KWf$n64mQACKNGR}UXfH)Uli?7P4KtRrj
z)c&jDs5@Rirum!_GD(i0e}Sn2vOg-=86b(6$8<Upja1MB4V8t&0yXF;);nZyR|<Xn
ze0K9Xs~S4)5?|OOPJ}r^^=b4|8WnXLyGQk_Ba0qyi&lOT@boAxHfzeFNznsd<R&6I
zwR3;pxCR-7cweo(OqWATpN=Z9rIJusFWVuvSPGDyea)TtO+Yc4srmH!WOU3$JX&O4
z12)sX*0>ofplc_FCKlSsNU(hHKe?+~FwSlDVLMY1iSU{7NGVg$+`$$Hl9>){-O;ZM
z?^Z&m?6+E2k5W+WcU9Z{qIytR<}H0`Rv87@uJnsrP*CK}-v-wh48TX`A!Yv`6=duE
z`C#2&GP;&yIUBcP2n6nevy-n>(Yr?0AKH#&l-ZGGp*M=b?R&&A_5*4t6=e+KK_pa}
zDUxXQ5kQwGj-~&O8al$%VmE3|MB^OwR+5j6A*4p)gL$bM(mi|U5%W7$6f0C^T;^^9
zpBs47RnDrRe42kJ`0pzrgBB@;sd*Dn`<cUK`$rYc7jKH}GnYqAQSV}qyD8A^q<tz9
zRYfL;`h5O$%OGiXF4m;Grf_9>LVJ@#1>G}b<ZE-2M7l=DLM9qap<({w_N#U!q>`HT
zb5L9unaG_nORh16tSJtWX$M7Q`PAo4)h;i3J9vcQW2PzaevcKdtdmD-^AR3fYi!8d
zX_mlq$P{okIZ01e0{UO>wV*b8TBO|b_{iKp6FBHvb^hxiS=9aPCw;5d3a<P6gw$f1
z3Dol4cqNc7jT+l+b_R*x@Ok=~DoJ4zNK%!KtL&FVS&So>_j5O6r-JwYYbZ7bH~VK9
z56#6<=}n&u^M5}v;xguKC~FKN?R0u1HW4&Ylx|;p{x4>A=T?BhV*uwhJ4O3lL3BYq
z)v{P?1?#_`+;~?Rpfx*d?1?NtQn_@!I6Z0|TTA{na^@rk+}^lI{6!w5_dh0LP4Xso
zTh01JMvM^<y*5`3xVcc>s9a(9(=E(8rN-sTO+(lv7226pv7)4=@(gjlZLB1${mZj@
z0|@Z0J(gI`h`58!JkMI*!ag}q$?X2o2ZF$3y<41gsFKM=j6HG-GkR0TV=SQ$D?uxg
z>3vk_L>13(c(aLhb%(y<ch`gAznNuPA2;#OhEk3(pEj`AVc#cQ#kvq1ptj0Vwt`2Q
zSUkv>T*n^gr9Nz&)`6enPp{SrE#mGhabYzJYuI0XgO)md9k`b!et%)#e>jEq<m2Nk
zYgmx_uiLk-YXizOwtX@C1NSTvDEXkfin+~`taj(L;GB%VtB%Sj{=h7#b3SneJ1DWb
zoo}lJ6I78hDhvHME9)ck+@)pg<?wokY>g%i%d-W29m4Ut7|S@-E6W(=xX#EiX-%Nw
zI%fBxIUVCxut}qbWo)WPA)WKO1}yIvXE@Q*h*>ug4i`)B)!}^+z`~#bPJU9SehK$s
z+S!37>uSqbi`BHDTpR^F=NNO@o_)dw&ngq^PA+4M$Ak<FHpoy;{3YvB`xUz--T(Yd
z+cM^9^~;eMLxyWSp9EY;-!Ne=Z|xk%6-;>X_oJ!pJ^wn*d#ZMP5=+t4(fr81iVeT!
z6S7Ps!I{_U-Cki+*ngsQ6^#E@F=@jSg2r4VcyDgz7O?Rfds&nhc#vrwds&ek+*nA2
zCkJhcBreQgy+4k12wHDoM=U80^+Y1nr)xUO(9U5}r4qj^8#gfvv9^BOG<BF0j-I!)
zUcla5Qrf2+u#Fk={1&HbP=jOT51wAX_ZRc{Iy0MKwTm&f8F|I8s6wQm{QpXsmay2l
z6&>43DsbYC4x7+ag#({1*W>^Dhg}OVo-X-H4Kx1@os++y0#`Dxr*H7BVDS0I6rCb1
zXdh8F4%_>K;T;<_InAq>VqM1Yk32e9D!J*qAf^n@YSq)fUth;YS>IMms51cdqsLw!
zqm|%;lY@g-(k5mS6n*mB93v$7xA>hMRfJ14EZi**x3P;}J`xop%usE+giBf}f@N{t
z%iYCYjC#jXAYh#p{IBl5Jo#1uy3bY`DeF-~wMjOYoiztce(E?rq^AJtMiTm!H)(+W
z<tF*k87}ym+-juXBoCAQSB`P=(}8I@^Ly<9Ziv`CF%|A857fscQX^l{L%8Idwq+My
z7+1<{ezZu~%eR^``wNWFWjw!?$iNQ)H4n7p3ki^Cv2VaQkQrRZ2=e{I0`NGam-FUP
z0+<NV$%>`1f^y;KmENI!z;;<7>9-64YOI*)7QV8B#HSsnC<YOj`Py6&NJ9W5SW>V?
z;sSo2C64<(VsK|t-u%~!95{Q1{j0ss4L5fmKKQjH0W}(gi#c=zI9mK^ZjOf+2L7y%
zy>gd=w`ocTOw|ccdzLY<?j;|*W@69kAC`ue!6$tl=Lry0<$FpgMgXQBSVqK!$$~BO
z);;Pu0`T3`+-5(y58mqR_!%k^;BSz_(o&i{%w<*n_ccNo_6HR_ySXY4VP=m_UmaHf
zjw4My3C~60ip$!!zORa~;e9vFKR^-IOERw!c_bit{hUeK2W80DboO{%qXY~O-g8`j
zF9~HS6XU18sKT-_168Jt3Pi+`E_%pHL&lw2`kX!A{w&$;_*P2|X5>wpU#H5zm_*nI
zop~bUn!hBz&?kc9KN+pdRB{k+ZF*UDk_2X*qh|zD_jvM}k%oU90bGms>E$(%;ljDA
zj}%xbuyOC&QpK)3oVZXZB^6JBdzZcZp4DkUn*rl8U92MP?#?7i32DGH?9r#WTUs#1
z-Z}TbStYQJ2`@bzr2*?86)07#1HEG64t@Jo0Ibd_sN`yZd%`;XM2jBS^WJ$89IFb^
zhrRBIoz#HCId3R5n+7m5Q_pIXs0NiD5+9}~D6ky<UG5tRgZ#~A>S%j)X#FN!pGHps
zelhB9!BPMveXdB}VRhI%-8FsuBMEfnby;4P7{i9fL&76wB1}I#LUZ>h5tQt+g1)4f
zz{Aety_Re0U^6w^?y9E>y^+8EteBfZjWnhD!xeQP^9){kwl|N=SMi3uA50;#&iGjk
zQUm{S2WRm!a-h>Q%*m@^22tljLkmk)fpmv1BE(+`WVby+@A#O3ZtuI8d|MUJi&F5L
z;T3^quAq1=Uo+^k-|V)jQ-a@f8AYaFdBI&Tp<)%xpq=Sy_}rQToDZ&YRjp=$d!}W%
zQ5&XkM^`&YLr@-8y!dF^UhH7L>Pp1LTc!{c)Z-c{BL{1mX*aCKr?52bpRREPQy8(x
z+MZXG0r8&G$_Zut_&b+(*(r}qV1_nD%s^8Lv=%GBGYJ009h@nb6D0Qd<Oxlq&TVnH
zd@y57^VbH>9u;X;n`;bbKD8;duL#4!$?p?C#HmsI*Vi3hY{qcx!?$|T1VPB9zx7N8
z(V_trzrxpv0A*K_Mm`_lgEUbCc89C<Xg5OUmO3qfa&*t1IvZ|qD>jw!f53n~3vZ2(
zSTU$wHu>o+%?{%4Dsz+!7}4hrnY4$(MxZD0<jnyYCg|BBzGw+yM7Pe_SA5bi1f9aZ
z#K7CMz<b}1cG`;(H9JHIo_8?-nw(3d7|vZxbtqojK$a1Cd^=3bepP?(?ykR0tXst#
z{RR(@b}=9&lec|;a6K4gGry{*@)t7-zMIJ5$AB^l8XA15^Z*RS@~eubFj_P%`<{*g
zNk<xsj9KbJkbQ2Ph20lSBX9V^iBftLHE1zkou>os`bKx#&R1g=OWTDD-t=fKBV^cb
zUK?I(H3*aSTJhg(JBfWnden9P)tOjpZ7>Z<4c{*}jAJv8rWu9kk%02la%P1VMCpE1
zQTjTGht;YqT@$BACUd`HtoLa_dX)P6IHqYlV5Hpkktsbg^SWypbVU=&Y5$GRy_m;o
zYIZLyCex#jM_A7_tndA0rkXb%F^l-v>SerrkskRJ&j<5_YQX-btlGPa|M2ylsEhkA
zGN1v1$HIYm3fMl+O5d?w#i=kMI7eheiKH`&_8}Cwe*3zwPxd-KJ%2ddg^>yI)_G`1
ztdZdi$~UL#-Ne6q?jZ})Gb6rx^S{dC$xt$<G3ddxgEOu)q--g%pk}kSHw=7au!$IM
z#$~8buJh>r=onTc7cM2IUqXU;hN0I>R@5kh+bh;|nGG3w-sL@IN`fC}(o;NRXi%h&
zmaEMj4rIrZ(^2`I2&TiUF%hq6(UF*SIX^uvl&!iZaX5(x?@TV~q%zW@;my)+DU2Io
z3<DgONklj=zW?3#00wm8Wr7I#I1lo1^b?>otHX^Wj><JZ8Ic=CYr=nv7l~)ZN3W}^
z!@%fryU}@OROgeV=Jl5k#Xq4EwRoxqH|d7{Jy&Bzo9tqv4SoU$I8TrbDQfU1fv?1p
zmK~||ef~Z{wGY*$yHAk2Re|_hr^jrI1N9auCPmZ<q0MXL;Q9zv&}rE>5Sqb-EJ8@x
z!ucYo?*hhCrJ)LM27cR9UUH)!3nhaFg<^=)yK&lpNfos6);Ts7c+dw&CQ14Z36#xb
z$@y_f1==_Y-yYh}hZKSR;7xWZv>R0V&3;1#Oc-_V<-g)bNw38R&m53Ooq9EY=fzcl
zP@Y#M1A^%9pSxWp`7)?H<%;IPld9mRe8*^hY9HDjyGZfhmPJ1ujMq=~t3uLedz<p7
z!l?31mjO=*0X>s_>HX-G8Wi$=AQz^JA`6E*=1NQQ=$n4dzzY?1c%t;J%qLkK38g&T
zlDedbItCj8U-A%v`k33`SvyH&7Ert-!K;kwr?r_KN{QesS3AEGAce^8*4Miqsvr+3
z-GBt|y?wyalkiMwl%d6%EJsvBZ%n(I4(gHNso_L|=UW+c?yc%suP5s0=Y#>5yaokW
zZqD6rS&&6Rt+}ToFB6eKk+fxptp;S8urdE9M?hAhu3|PqB=jyX;!tO%CWxky?52*$
zBj%sIUgvX2D4)Ms*nVCM2KtZ43|vw`L8YTB;WH$pEHGo!ep&}wea=+Q-%>=}Z0gj*
z0%Y`dOoW`fs|z-VcNMz|ln{fknj;k#8F9Q`v!T1M574v``M)@2lsc1KU)E1TX<L>-
zF4l&iMsIhEpr?X@H;seaj*?KRQOr%b1ta(y$aPwyO$9aGc<|@%10uSvNBwyL05UYI
zi$o+;Q3oC0?n;O{`ab{w0RR6Cmv=mt?-$4InZ5UVY!8pU-N$1@k(rg9h)~hAl2Ud>
zQhpg<BMqa-4ELQRq3m6DwvfGl{<>bT^VhkqbG^>{{qfyK`_JzJ{C8{i>sK8-M&(CR
zw4{p1Y@8mP^UKr+O3BOGCj{`=4N(@O*#a3%sk_H(R+0!?TE+|Xs2pb3TozY0B8h#D
zy6eW1LWC1JUgu45a##&ddByk|4m)p@JpSu95t0mx%Q7uxG5KPa<Wy2o%(0R^tCQLQ
zYHL;mHcVx(jUQx8r67pKwcp*-W;KA4GL@ztE@|xc%l{eXws2#_lv`xj5fQA=WQ(B&
zNlb4)|2Jm?8}@MC4>{~6Ld4O-Fr2LfHYDX5RU68Pk?H)Sl{oGvd9gICr3Z(tj{EjF
zrcz;<qXHI5`a~!wqloY^7sLK?KJ00Ke}on@-J<rG)Q3C<kLHH2B3Q`8_h^&QbyU;)
zVt`wiJ~%$|2!CcMj5+gIJX~m<Mri_8ZlO&2AUzYX^(RvRg8{QA^E(~r6;m56p=^Lf
zH^anhy}a01naS$9O&RjtxUVoq0f0KI!T6jqH>NQ(B69It58@Eg8ANgif#+Ve!c27>
zm}j}2V_VB8!X@}6TQNruviNVeXkKT-iYzkPUb#*p#@e4Qu(jv{rBBH?sS6ACaz9zL
zL-`Mq^q@WM!IlmfYh7f1HOq))FW!o0sQZJQsMb;-m(>CG@-|<CYxG!}$`uD1<3EV5
z?&YxxFKw_ROg*)9q`@AP{IaoUoI*NS)f_VNv><aJ`JP4!C1w)eLwe!V1Y&-RA}e`b
z6Oc_IwF-W6j3)I;`BU5&(*MCJ!d*=h@|Kip1y@KghR<R`M`6RrxmOjxzCF|c0iSF&
zO{PQC@u~R}H?Ka#PU!6JgAsKgo8bwot=UDJs_aNoB{~uOSq5hpEp^bjxal6$zlH89
z#4v_q-w>gaCk%}LQv-VH*sh088>pK6gQo9KYmkvlW6YgI4c^R;M7L|Mp;Bhw+yq3Q
zBNfhGvZ8*f5XmK`KX_>seMQ%WQ8E{zs{21T#RgPhGEzd}uzeW~ESh@r>N|$c?HhXO
zoKk^@w=_z6&6d!50Y)nhix#y1zn_Cfm@?=FoEDdb1=QNNs!jZ7CrV*|a9&VL8KlFM
z-bQE4p^ZmLsV%O3XkcKKZb79IxG)7(uR6}6(@|sHhT}sh|0#nDjT%Z|N>*CAbZG|V
zUt3Dfbsa?yTcwH4b&61T;XTpz_&>#13eDVH8AnfkBD&ZcDMDLsdWO-}Y4l@IlVzCZ
z6j~e}FO%Itfag*)2#dosIx`wx%l&v7ZP#9&6m=uO*Re7q;m~RHXR2SW#qKORL0dGF
zKCS@C{hMCnebeaQCL;mghy^rj|L-qBdIccamU~}uaR$A-?7p%t`WF>4wO9J6B@ezt
z!}ve)v#8~oT=>PCE2!Db)*)QMgUv&Qr5LF>^d=cu_KWpZ)a$gQT**5*pi<6ecyM+e
zo$C7#Kb)|JzL6^)SX`8afMJf<dld`l$%BvxHNy?GCSY-RQCaqQzUzAv$M5Xwx#GGh
zxP|_^v*uqADFZdNTMTu)%jlyo;e#JVc2J2Dsx{tjY0&3nTfO{b1^xNh*3Zjo4_y>{
zOl2-B4IZb_C7+M0Xy?#5E$6ZWbY}MQyVJ2!Q0km%bz%D-dPmdPsZ@dld&~2xU4BUt
z3LY-XO}nk5s?~Ll6Un65`P61UUVBOC*$unYy0n2B-JDD;5Fy9PSMG}=-z0!Puh7pW
ze+#`jC1F$5M}akI6mgB|N&pqjtw5`|9W?r!`)9!lDlB@IbjJFVIMlx(?QhTCL$CJz
zmO&b6Fw<a81xgTyJmq_fAxj77A?x1CZ%TTs>8fFWWE&1BO4`XkX^~(?iX_UoNCqs3
z>t5bf4;&0GOn9ngkz&co_wB6snXz}zC&u3$iGcu_|B{&`IaX<>wfs7r1zXOVHdlEq
z2HLa-!QRLH`S<k+p44N*vTo={m^zDrj=QX(`g<x&uIGi{LplzOb=`O|P(Tbu^(X4E
zDjLkok)3Itj0;P?voLUbNff+vxoR!e>9Cg%{s>da@?i03pj`G(QCKOL7`W-ffXT4n
z6Rthr!!GxKc8mQY3U`frgrn)1vDsd?tPk9Rm{PQtokzPUTpm&*lHX^+y6&<H-VPGR
z{HjZTE^dgz;V<qdpM}`4)H;RK^-U2>dm-gbrnVTc%ZZg3jk9C_)3sKwO&7y9sxOxn
z=8HktkW|!G3nv!3A5SIjDvr&Llc6G7IB*U0mM0nI#sUPpuzZljFd?L3?g$4@!)}ra
z3h`lzSA!?+fizYSVpi34C=T0~yl5{a2w+Kn&sPUJ$zpH!B>ck=NnoBD;EQ7u#wxZQ
z#b{&kn8PUPb-7k4;BB35Jh~x*H4}8O3ylgGZf?FZ?41l`avntzmPN5ivr%P~L=iKf
zd3n8WP7YQwUYyRpjl*8f7F-$TR>DYK%|(ln6oA98Iy9730uyWdkC`Z<jEN>Z4^p>O
zgf~)``0YMQVmu13dW#rUFt&dg=h#`4L3PblV8dP-Tf9g!M&F}?IY)@3ZP2JfMu)`+
zeq9Dj3ZaxBIj@Rk;oVr`l+}T*<Za<XxEyw`D3he4P!(fmp1tE1qX}AxR~9eL;<32r
zv`p2xs+cb4a*xZdHmDr1FrwlLSf1uBn;acgY)jMY3VKryZc&#SwXhK|u4lCl>sM5;
z5dGXHm+Js0qsDc_uMjZGL;oTJP{!^=Um}al&<8>Kz-G1_0v4Qpi~Yg}MQpRgwr;(E
z2y#@ruTJF?uvrT;L9ToS%)`3mY+9@V@G(nQC*LGs@&no3Ay;Ivp#iHzOw$m?aE!v-
zJOqpwl}8NNl)%Cn)T~X*41qXa5HrWEfSD$q@mIejie0<Umrl812;5;c!qbI#%qg&>
zz=(t&TWqwn%OW*`X9XVwr1xa8Qi~fiI(2NAXsl1c<cJ}N9<bL<v&vvO<NcKdPie42
z)~eO=r-m>(aq)vPg%oB}IVEDRw1xim5L}#-H3aYaCXucYaSY4@{d@C2qQaxSq<Y6U
z4~p%y)B7NXX$N<a-pO1+mX1y>zYsQnX9shxbTJ}WqrmSWjh~0epUD)Oj07T-{EQc1
z8WzMF9`Z`L^-(};X21KjO?|jSq4fBCH!rrW8$5G*kOnRhI})Zn^g%q_r1}{J7xrTA
zR&`GiJ^UOLH;n8AsLk)CAlzWXgp2y;I3F<p8Q<gic4L5;|MZ?($T4Ht5>|$VrHl}B
zwp++J8i895I}_=abQs&2oXGPhnc(kR8pW_UJ@C%yi^}h!z~p1^bN{=>1f%)WpV>2X
zA+BC~>rvSesu2_Vn&`{~|5V(`uhr^+lQD75t!@+DqSUVE;bsC>!tUCa8EpuTQ#;q|
zv4pC*2$YW1F+#GH;tOs;Z4l2PefxdxH+p}Vt@oxYBT&*eJb&n_1$oJOuMpe!sQg5{
z(jgTi40*?2S9`4qry$!*iLo2uND5qx{>%Uu>~@trcQxSDoDQ$@+$2JoF;)K|l>ykk
zbtQV*YQV^*lGam$C8YjMf3S8e1KcBQ2fQs;hZ)MJ_gF^$A*MovFJ9RUP`3QLzDYnG
zdi1qfOg?QQ`XOdxwj&HsOIj1*oS+5`s~>l`PVFM0e>vqY7%_sU?na^nsTzz}e-zz$
zae$au;sV|J8R5%<bn05DD!AMC?fuW01U^XItSd=n0^k46s^smfK$Y`*s;D7SXsQm~
z{|d~YUVD%#eNP1navVt;%*df=e^-(ACo@d7eY$#|Nd@dZOiebcC_s?4)`1Yr0_+zr
zMK=DY3>CaF$!0hzcy;%qeiwliVo^Fbnq#jJi@EKboI(xnl3p;UP_qFQb?Z?0fD-un
z;AViH7K*2DZ%AyjK|V!MmS?yUge&bk#yp|}>sErVH8}^IO1wj)lvaYCS+P7v+zC+S
z=v<qT<^&(|JDE+xiZC|M-VpeM0i++Sd4KWe0@sJx;e5{&VVhrz(JF}v?CzF2G_-Mp
zoFYUfIVi%+SX7pLIWwp})_PQZiWj^EH&q(M6d}`c_pE0r3s4VDta#7xK_r95>ELYw
zSf%_ZHNsdSXiYlUEmr_mDiaz)`Uy}TE^|hIj16|~Y6Wgb2tlDp`$GF?0uU-=-Llv?
z0B7dX&rv4~+onaNaa9D6cho$4{~RYMNt$+QwTM7^SvJjhEdkKz^cPcATwvT(8*eu)
z3bSlK67a`fR5aNleN&DHcrOGB`7z@_^JPu>^cn$LX*vt?DtMu_*eGGu_?QPL4k<IG
z6=6rDFh9tiAI@uU&^0}jfaD+cyIVnukQ&f`;u51EY@a#leb_DuOghyW*`11TT8E<P
z&X5qay{X;*$tMl1I6SBJNhLtXY*IFU2?Jxt(dH#@8PJhmQ9a$O1g<&iywtrS@S-)x
zW%Z3L<itCgafd6zjOY}xpj#BAFE*~99hHN~+mfR(hzg{?<5dam69b|7$+f^kJmiHv
zE8XH(g<mWJA&EmcDF3k%M}H^}TufDY<Q!@cbl>Kj@h@@Uu>D6==urUibscvX33Z??
z`KIjOF98EX*(n;@1PHa<EK5710p@*KpXI+vf{l=_hkgJ7DhLz=(l||+PAlVtS5nX$
zZh1E_lmO~{nS77BwIKc6u+TxEG;p@vVE*bsfV4pq>j|6=)RbQ^e#IvPpA!u~g$ocM
ztMhhPzztn^FV2_s>Xi(jk%s17P6|+?An+GM^?*h!Bkd2JESP9yg@@zhfxW&(d2b7W
zmPf@8`3+@(N}KCuVul>lr>k1Z#seJvl#7?NkOe<ulfhT*GC=V(pv03_AK3hR<V|E`
z;hT>iJ8iQR+%5iw7zXRZZXl*^)hh#wlAD*_Ka+rn*bgCgP5RIYc%5=98DQ5MqQRTv
z;N!>t)a6Nu!0>}D=6a4a7~c?kV|O3|lfDB<p<+Y`+&e9@cFg~-x+Wg>D?*TR_4fT;
z{Bf@Q@xHF0TN1`|#!oA8^Fj8N@s!h|L}=EzW8RKRfML?=cMf_k2$6e_ej+16{ENrq
z^l9SIK9-ITbYcVQ&3zBbE`7LGnJdlUjyv{|H-^_)nBnbJ>S)#!eNbZJo+pZk0o9Wq
zeI0&u@Xzmk;x`k0m<sx*lr<&-y!u4X)&xp$h`Iwq8vuA7?W=yd!Vu!-puQJL3d|Kn
zffX+SNFVnZSpO0PVPc;qF?b&#$zKh)i~v|YRgDmh<%d2ep@R#jwvh7pNBXx=1RVD!
z>3D2-A&@^?$lQGmS@e&L+&It!@@<pXF?!sPKA!LbOISfV)c19Qb@ZUVZ;$5U8BWOC
zt4rXpT0+b%Tn_Jt=|X$K%Z>2+?4UB@TRthUfCNyq`k13Spx`)j?eRD(r0LTgoz$I2
zJY7}7Qz>=e>PN@7DHmAa1udn&_qBQCwIoC6xP>;%+_^5&$HWZ8sk=`?A1@%gKk<*E
zGPNK;H$uU>o&i4A9X+Y?UP4alvY6+uYQp043L2U`dXPC!-QCr_jEKBC&*WmN3FS9J
z)s2790;6@6N14kiQXnGsx-ee@B)6K|^wnq}-SVzy4*42#B;weeK&1hX(nGIv4pTw)
zJsTb8?sY_~Xku*Tk~$>xv2e{+Qo_r6i`Vl_n@Ch!;nDYAH8@$D%XQF90cWn(W%~?m
zBSNc9(X@tYFng-Qsf&&RI!jtVeW2e%YHe&Ib1GEfG0E<_bO<>N&Eu~~I~^b)FMl`1
z;Z@=K$?ba_?Bp=7Y8HI6=?Kvz%%h)Pt3Yf=4aGq(83>AUtl_0eq32cHj*^rL1n}uj
z=G2kF9nv?$#7HtY9hzP8@0~JKZYRu$e<y=S+4Yqg^W-p~wQo(Pq70h)-(yI($bceO
zKwr|A5<&!1gf3%BFteD%$zV(l!7PIu*N><`rlzvZ%t{IJm7cSPl#|1Ag}VXmB{Wd(
z!{=Txtq3NR=Z`uKDIj{_>0_~QIyjTXC)*yW2u~MXd)L+|fa#A<><hmWK(VE>^F>Gz
zvW+<OSiVrg-mj>LN1=?sJAV5{+ZO`p$|vT&E2RP__KL(7M`nnLJ?xe{-a}61RxD4x
zP{WTxkXMdpfpDX~59<5`xZ>&EJ+Mgwe>TR$|8=th%?-bT>>LF+!*RW6)SM1pZc(*U
ztFgm+n1R_4j{*?&rmq;Z&;#w6@LwTi9ANT%TwXOx9z@FC<opg`fJ2*SVK!&DU`U`e
zc3)W@qQ_#IYqgl*w~Fk!BpM!Q@b+E$IEV+Crq_#!FPNc9@WUv>6fe|0QLPtC#zXyq
zW$L>^7FfJ~h&-6!hn~d*3VSy^baz_QF88xSN@4W>&Ql73DM%wl26&*cRFZhi&ki?F
z69al)3B!-IXXU^2@!<bI39?V29B_*?a)08t2rNaEChR!l;e5eCe&i-6FwT3ZmP(3&
zrtSX{Z$HOFp(=apmqc!G72(%@dJhLaodPl{+jwxl_;*H_$P4?Oq5jG%;_zhkOS^NV
zJV+K^9P41?hrz}_SA8x?0@5DLa$QvcI;nKJqsat;-H_Ls@}Crl9>#X^FcM&r$^B0@
zl`w?sKJqQRBLgatm(LczB*4s9o*!&HB0%iq$WCFDgPF}U17A!O;UR@^gqXT0*o>p{
z&S`k~YW=C-hg}JpPnNTnxr)Ka@3ov&W(DX&KKiPXD#L^DCiCe89F#Wb7k~x<q9O%b
z*_l;<4KJckS1%6FuiyOK(nEl*VGi>ZP=z<v>4fMd3HTN!L#Al22<8zN4m^|9pg5BH
zL>Gq?{5-3*FHxlkQ5Lyf7fCfBJju5^fglYUG+dD$D~cc}RWr#Ks|jvD3<jR6$v|xc
zKezCXB0MUky_6`b4c+WA1t!9>Fp|W=-r1%IcLdC^mPQ@;l_=cz>yIqBNzgyUd=w$?
zUHuFG3wpp>^p>UdjvUl|^L<&<e9Y7FxtB4={CYXTw{A5f2TVm>478I9U?Z2S`MnZg
z#|rb<;l#sY#(#xEKk=|{Vn3Pct`8(nK0l|Y$AdtGHT7#xS#WLfPaIm&ho?htW&VAZ
zgW;%6vE*_o@TR$b@tPMAw1mW>F6zhu4S&U+$f!8TDLij%tRjLqRi#yExGapz+w+fX
zi-Lwh$d%zmBD_}0m9dSJfeFNO)t~Q}5B%K^0!a<PGi)Vuz*icEd1#t^s(In3r}k0q
zHW4;z{HtYfQsCaeu(kY>12#Dw>Z^N+;PlUKkgq`k1ZUT)kUeH-^tSTKcu53bYmvGf
zGjXW+c>lLeGcEl1I!PaGMTBJP0$0yAF(9+DZpf%5g8-L*!Oyn!p~3WN&?!?<X!j~<
zH_zEYva9B<<)!KaedZW)wnZ3x9w;gVjxHmnx7R2r<@6!%OPO`!TS4gJ&p0#SJBHBR
ztoj&U51`if_qz26AG8GLbK`!0Mjlws9qC&DoLb)>y|2atfgQiUYLtIQ7asff?;Uf^
z`R4WA>s6dkWhBg^8PtoG$3KZ~pVWhQr!5M-eb^x(#nO~e`5UFPEen4`uLn6TpXkYr
zSmET=Xr>=p<EV30hQ<FhbU|K;mh_DkGq9b0KkcD7fyP~SlQg)b1JQeQHV!-taN}#u
z@F>FsI@ocoY9Ut}4r^U$rRHdXO}aT}kaZkQNq44wHK7GKuH?LYMrv3TF71Hj5%m1j
z%L^`&TA;2GbYkv41>Du__f6><LU;YA<fgA`LWYH7bG$Jb3{CQ@lymi=8w*tDX&N+u
z*wPg>Yfb`Ja~E_rHapP6e}ASQaA^Q-he%es%mI>}pMN?~?Hd}D+b4_*QitD*OZA5G
zyGRPRZKdPmD%9^=*FavU8Z^uKmN2~BLTFMrZFP3<qfTyQ4V|iLV3#rYtHpN%Y2K%E
zXO}BOIv+ikx|OL4KQF7NQzWe+{u*(P@(zuNlh6pOAH6E9ZSDwAll(&*-#j<tS^0@v
z60~HB2vdQssb;!`%42U3BK3J#(t`*&|Ljj%RR+-?K&Ifbj0lm1(3tfNBHm#xQz3rJ
zAenf-HR96};+~fN;px8-q|Z?MP;BNn*JxaesJOF;Y+v4yHl&(Biu>@t1AUI`M(Sz$
z*$YViXZ5$U&!&*}+ipF?1x2tu6b<~xzJUBUWEERLm_eSo$UccZ_Ic5kzjjM~^T-2h
zdZEjMb4Xh2{YCi$0yq*jAE%7XBas}ED(Pv9$neLypThA3kaB9648$)W_!F9=f37Yg
zQlvuS7RNk_W{8OwtXV)5E+w&6s;?prFA6&CJrv;1J^MwY`-=#VHbG>d^&hhO;ctN5
zV|g%dnQ#q{TSBCtTMnAsUPngV_}3qN#lz+F1aqUdzeswwV7jW|CZgN;<n%BJ9$sk~
zk00Px5RE4EDZS!0;#sZ6aGEFwK75a~{m534(FAtCyN0_6r|SHfo>*BJnsqPpJz7O7
z*E|oi@9iW0S3>^_>z9Gz!SZD<fi)!9t>3C^?GVxPur;-om4P=IkB?+r*O96&kF?+)
zB=FdZzcwIR8fuEC4E}xDKpf9h)}<h1u#kIndF_uBye(S3=47>nboI#Y7I%{an?3mn
zPID>vC4aa0GVKmxIX!YWD3KDR7{=*&K1o8%Gsla?%ezQ&8Sc&C6>2E9bYHR|NW#}A
z(&{uc2Z%$wd82X^ExdoYO`=vL0VLDC5_5J(Nbu}41L-DuaQXOd@05}RC}V<^nJXj^
ztd7N@`i#KXbJia)aS%O{O3}6>g9}qPFX6+Pp{cP~YtddDjQw}MnU0dfD9PizkzE$3
ztloFB-Nga@i`;ysN0eZDQ}-`P1{)lPoF1)wjRSd;5<7lhYDg6`>23DrfE<n0XD_^P
zz&^m4c=9SOxP3Axi8;pwxwTF%Z3;Nhds4qy{Ei-e?M>6?MDW1+uCVIe6F4xrY<2%V
zKO^9FuJB*!=7T)RQv~~iV{ShZ6usib3?U-v!%{ASkUD#C=ue4*s`^3xupt(hmHr~=
z_(&KU418;YrEn1aM~`zXhz&f0Zm_B_h(gY{LVSZC4qoR?-ri8)0G$S=qM6rX;EkhV
z_vysJlN&4iYiwMAOZ55p-19j9omf7vaeSK8oc&*$Fb`OCAO%U9l28oaxqpdCK-L)@
zU1|qDSS!2TIwdO&jUH})zY0jgnf@fts2Tydp1~<Et0oJG)azI=2PvrD67S~52?J%!
z)y!>cJp4NMF0Xi48n(9AzfIl|fv?Tw=+zJf=w8VD>-0eunqGT_OD&5+>DvgBnd2Ou
zO<Tj%Gk(mu4%ZHk%Qz@}^JL}PZ$(f?g-^O`5n%CJY=6VPIQ)t`&wezh1Oi;$U&ksH
zf$DB=(*6@ku#cj0{rO25zTc2YPCMQYhpZMg3{uj7t9cNWctZuAAGqaMSgAr1lhIwN
z3K@u95MTJduL588<$4Nz)M1y9)BQ<N4hEI=20M;@LjG&iXh^;$yst_0DoMgaR!MdK
zqN*ySFy>#<In)N}^g)jiR37MEqa{{4Re)YZeNE0o50s7n!+I+fK;q(*<v61Xuq=vn
zt~vwwWb`=As2qC}#bNl(MI~^U<xK9sr4N6eJIMQ7Ab{)ZTShEb6@fSI+kD$CBB<$-
zpZ4@6z}sc&7cXrTpx<LI)7RPnGT%6)*69(zwk$tJ-$oX$*>Z};92h`xl)j2os{-(M
zh-h~+O2VTLa>a_*4WYcs$S4|<2Zh&(B=Z%bFfE~%&st>&PJ}0oUfy^h3oLc^SmOu7
z9L5><W<$_a*%2RXmWAOT8&-q+?6AMuu1I`m2&ev>nCIA(h7q4{bPz`mw+u@hMtlrG
zqU*$()`28UutyPpH69?mDI3CeREDtfhh|o7NgN_PqjS0A#*odl&Qo1U2A~m>`(UhF
z3=D(U!*JshDBZ_b32ih6FfcacZ&xP*VY9QTw9mHCYi18AvqFf_6CxmN<|70Z!(=zB
z3`ntRNk84QbNWCd|M#kUI3J{WiH5j3QeqWtjM*g)$G$X>b>>zx7kH{~S;QI9U<-fm
znVxI~5SvPnw6SCdE>mv%ErbrcL(0?qnFuhuqo(P@!vfpyC40Yx(qoI6jY=$$2t0K{
z1!qp302}O3jz{7IHlW9DyYoN~F5*;N1ZSz>u5H?W{Dl+P6klPFLAoyJI<>nxP?3RO
z=a0{RPA4$VcWJ@*s&zm`aN9;oZx4}v8}>|2=mb{xN?Mq9N*hkIsjAr9t|3%IIc>P_
z^jN0o7fl)-ZE)l1;i|tqixhO`2Z1j=c4K+?bFsY^@cJqoaX;xtZdz@!p(p4uS^D50
zl`KsVZuo3d<P?v%sHA27s-wfKe1Dis{?&jqS~2`ecsHuJIy>)kpAKs>bb7{TtN{bQ
z7ORaD6X=rV=O#mMIxK3D7k@TS9bVt!u)QX_fDQzwo*MF@!(7<~Is|Fe;efX9f{x`X
zY9iZAxST+TO$(b<@n2Je{{sL3|Njh^XE>G(6vvJ1y+`);JjV0bv-?<4Nr;vtQj&~h
zRWytW4MI|)MUoX#)_b3XG*l=mMI>AH$b9>BuIqd{=Q`v6|0z3b{=E3#40-TymvvY>
zCrTJjR<i!qht!)~Au=QL<P6&$&SqOKWR}%BnCqqw223#y-M<#e{9M_LKRsMn7P@8E
z=MFt6-1GUs?WZfGO&eFZR4zCEvANcJYPTLd^d58)HDJIL*Sv+(X*}p!SIL_6Qx}pP
z+JnvF88PAY_K*!vc(HzTd#|v+E-<gj%sYH#!akAE9oHB6aQ|lGlagyXu<?PV5(9M|
zidEhVJyyw&+P>R{YOm|SwRYdx(r6YeW{5NYd|3bw+!FnxuBQX~Qp&^U`&cm}`8l7{
zDM5V6bg(VGgAOJ9=N7zN*zw!ZREv&iA>^H0E^$0Zhup`KE^D7T(AjpYRZxyF(pnoC
zis^Jvpi*$`C>Oq4jcYXM6TwF%bFp$mG$2mT$=#9S!J`kWqntntsnnk*)beN`<t?{(
zbdVPtWacG@tHiOe-;B#EkOn7=&eS&f@*|P=U0B{#5_>j0T8k!VaP-nmmm5I>sGM;#
zV}(x&Gg89h_DRqng-iRIYJwoT+426}H7bp2$*qhZm$V^j?pW~eXF_Pn(D1Z=SQZQ7
z_wM%lt_?dX`ejs?gs~_}O6w_$Jnr69o6ORo4Tqrfp^U32etxPgH>IM0GqK$>o`1CA
ze356&`$jR8Qk2!cuuBmybo_E_5~M-ic8NWI9VKwKa6HH-LkWitCf}I-SEsbconoFD
zNwiK&qm2wG<MvJqBJL~=7;-jp@{~xS%sJ1U1s1BftM<`mw{{v-G@tPch?POMkE3S$
z@2laI&S?2TD>^teNlLF8%He$Ky516Y3fieow_JQphv7pj(mRdh(YjORqxexO-u-e&
zH};4Q?92TdiWUlZuhZPAu~7pJEY^vAP}POd!4Z8GXGQEkV7BuTzZRzOgiZJ{=|T9F
z8KVz}lyJV5XJwGk#*^1nvdb3rAjtan<km=K<ZC(TB%(}1^jtk4$!`E92VQYUTv5Sh
zhXcF1l4<DaC|NcIhM?&Y;(hprDvqgf<~jYOVTknC19}NYu)fH9@k**17B8N?k;+NO
z61R30rvYPlyLxj&Yot2H4-1#LbJ1~O;`xZ2vneo2w|;oJnS#sD=c<CcXt<J7tTtI^
z22|gYmce-nK8cPhqnx9mZuITnBy9t*|74aFI!(omE+by`zqL{7?UV4_WCG^9KFKz8
zP%+?IPJ8ANEi9NmCi2`LK&-LsNIHWC28XT*8)ayqS3|;tDw72WWi<$-&Qft|eo5};
zX$n46QcC%7&H~(zm>-XPO2r=+yKm%D)$l_PE6c_q3y`;PQ5pv-Zf3ik+*_uMk6(W+
z-D+S7-J_mDhi_8wm2ds)F{&au<YfJv^|6EpOUb&Djp`^=!{R^kP!2EgX&c-)Z3(o=
z{kI;zR>P~yI=fXvq>#Hxuc`c$B~%}}c<#kxRm^tGs51N|hA(CXi_1MNK|EKOv*x%8
zwk>Y)mo68=7u;+&vve&Xts|IAL0uX3B7fF;jPfB@>Ztwe84KW9@KD~~rifm|$+Y)g
z9H>^qu$q=<0b`4Ue!3?VuysoSIzYw0_2G>7%&5FTiWxgwz|C@+_k^508a$s{n{iwv
zE3BT#rp^F#nTtJtmMx2QrDgUCFXu=O<x?(l*8l`%y#1dFOQTb`6tVnvf-Kw_9x|W-
zU@H0hTGK;G<hK~;z85)2E)+`Z@?It&X~iu@YM(fET<h+!ZSNte>z1ZMaRZ2EZq=|f
z6~(@9tILVW-$<I?*}I=-%|Ta*d)~`J7$bggS!peOB5!hJ&j)LngK=QgTKF+R9Jccu
zv$Jm{yOktGRsGDM_hp3RxwrhduZ*8-{%;HEFvxs6qQDebWyKGM+~!5)oldnLm)b}H
zfs5pmDHAAv-x-uV&4tU&%tJ0&?IeBqqwJKq35bW*sD4P}z#_Xl>kYntBi#aTJT<#w
z3?-4YI-#>{sMT#*qs#b{{22KSqJJ5Iczr(4R3QuUSuEPT9qT1;GqCjLnHxa>B}Vp}
z<T{K!vG2@D*?tlmwS$r~4Pm!Xr7+Ynq4)2Tg%%fv$iT_XV(S?Up<Jn5sw$fihb3Jm
zY9+@=ugk7w%7+aAi))0%iWyK};$VEG?*zH!^ikWCPx^4!)wu1)mo-vV_~d($om1qJ
zT<$kJ8+~{<+tTEgw@S)%uNE4*&XDo%Z%t`c>A_@fBN{fYkWaQ1zhFB!M{1le{Y2N*
z1HYR^S*Wo>?zrk2a^T_ud2(;YV~Y}9xWN*e$=0z<b|qb~n0v8EhJ;n-IMa3Exqrov
zZd@jXV*JI|i>#0n*ICxPSLi^il|)o$|1zl_V$oe6w??{sBkJ7=9XMMSG_!Hz3VGsN
z!es+)Mig7O%DLkm9k`nBT~++CLUzoq^)dT0;YByW2zz%rIJ9Vo$>*<<9(Nk+S2~$d
z@VJ@H)+riTwlkJx6s(c$dp=+1J<NiAp8cYJi8PR060x)nX23n#Zhv?1v*Ckuj$fo2
z4c@m$@ms4i;+00}YRxa~__KUj<a??%Tn-v#>0e^R5ARQJm3zsFw;Ue1TlHvxo8CYe
z?+6oG`RE!<f8xfHBPlUThFUNn#eQsfo*6e{)bd>cK0IAk^N~GW6XsOY*2WZBFsxg7
zx#&NB<PEBFzQL#o#mTCNTZ34Un0lRK!z+lRL6rHda19t{{;QVylMTB$Ia7X|5W+aJ
z{kY&F71m681A{_2(B<$e*%oFIyi;|LTOxr90^2I{d+1yk?3yVNS0swI(qJW^P6hkM
z)QX$pJXrBIhHGD>IJ$h)I)3vD1)L<W3ZB*A!-}%q%1;6%vF~uTeb!A1e0Y$izU?_b
zW+YCZFHVp`t)Urqw__BjcyKD1cSZnfPR*X${6Pkr){?jaJSf0-;QNxu79rH6-HE!8
zEr(x=Y=gUeD6sdzA@RBYgi+S{jm@bsdGyT)Z&bPRFCTf*O4UgeFU&r8ljfv|E2+hI
z%-Sh%;Dng*ER#6;FqLI_yj8-FuXe_#T2n#(LX@%hX9@HfRmpj{TLnG%GOA^}sPH=B
zayZ}X^(f*bShaOg75_Nu=0lza7?&o!Tl*o6C#i?8vgE6y`Ra&$X`UwVMzM3(a>(Ik
z8?{S9-c%gA)$8Z}TMO<hN!;(%l}A(V{r+qUnmDyJ-ik|y2G4n4ht2pY;M&J{u~VH|
zc(JE9Ojd*rtn@D-WyOlPLuy^cxFrn(ZA~{R$mqbH_EC++B_;g!w$?}IpMKp)+30@8
zK^Gi)jzwnLtDuXIwHtd49mUvqO+$0_;Kh~9?b|X{al0_<1c##zwz4_i%TqFd&*Pr`
zS$%3K)#WH+QmcbGRm&RB8Vn(VQkk+SO+jepN=aPQ!3Umx@HNI5*6kc@{y|XDKe}_|
z`kD^5#9Y3Zx5E^;TrK}wZ=r#l>`6l54LW$tE44>K*Br=#>-F2jHIe1~Kw5>Z4zAc8
zps#TeaJ!a~2&~b>a*td$N*o=ZIMZclz5sigMZ1nEYvG=3ipSNnG^`&M-5q3V0c<Mk
za#roN@R-M-MC>^&RNde!9yt3?7x-HWShclqugV3Bfjd-m3kr7}PO=2IaLYmcH=1ZC
z!dO{;QVpw#VzlM30^e`e4^`we@$g}XcVn8$n4S<*x$I^In?D|BaM0JlkMm!wtiS!+
zpQrB+lwPy~m-_I7_xY)4>1e+r(L@@fzn_a!NVbAq{S-@qYIRh;H)by)Cx-J^@323Q
zu!0uFnUwksYM9TzE;TSw06(a9KH{*pf(|E1YDlgMzB;dV{2rA91?O{ZH!WB~@WNv2
z(`6;h+xN$%G@Swc{oP&2o0jlF!|~LyEsEF@)g~}jGev4ub!_&cS;C3*xbBm;<gv=h
ztTi#YlZ=p7nM<m*0I%!%in)Wb7*V{mgE6q4=s*84<ByF6aGvg9lzJ|O<>T*T&p!V}
z1lvlk?Rf`q_Jkorevt(FvkPyZ&Hh7_{9@a<>I`r&(l2<qRTTThxLD<Mr-`$b-Q8G0
zz_lNXwO;DN*d4Ud*X!LZ!5bgJz}>t7=t4afD&+zg=J_=<eD6FVEtWnYF>DSLHnaNI
z1H4$*Ja@NJYJt$g8OtlY<{(h}vf|?hPCU_O&{?!$fv{akkh*JP1}e&b^+%=H(BrgC
zu-522kw!QrTLzdyMPE_{<qb0q@0yVPZ97lo=6JFiJTd_+=<-i%VZhp9Nj2VpIpWog
zfCc3dV_>P0@>AZuOpf#&8n6hRB|0=yUOdq?hRFjGn~voD;~@WU%Qk^CguIYvaagnw
zT#4DxI~6@mZWgPXYxSKb_FG)JEz)5KA#q}5pP!DC>w25}?E<F=p2%1c1G*tRpyWRq
zvKb;XtrG^eU6>@;w+_`@NHPF6?TA0+nZHPfWZkg?&n5_-OLdRyX7u6cf0w@&TK^!o
zUkuB#XPzKDRV5@Iy6Z!LciD*9xliQl6Wfonbp9cZzsz{N{6-IkmF)g{TzXA9MdjY&
z7#|~SES2vioBhk*+Zn#^`7`pBL$jQz^%&uODPY#PR2Sr;EpJs_^(N9fW-?7WM~Ny0
z&-3r8x)8GI?b3l06~si1(tUyQQNp{p?|{Z59RSfJH|F&Xgzwq3&8Odw60s4f8hR8R
zpqSm2%94FgoNZxvsZALpI5QkBzb>M~Nm-w#%w}zbw8e{ubB$v})Vo8Stp;=mrcEe3
zRp}ralIy}p9{eF%#x^z?)zP5k>FkB%-fu*yM$X2|_2WdG+Y+_kkp}+_Y*v17wu|`t
z$IQq-Wr8qq&T6{apbcN&^p|a6?;-XE|2$H9Xp#^O;k=wNt_5FO>2fDO_7e8<Q6Y5q
zDZ=<(s`Xo0EvS%cHZRWZBb*8+9X%qZiId;V^Er2Df_tYChficbk#WEEwm{VkAt1T=
zyTvsPsCvrxw)f~DVN3Ngk5if>c53xCczmJ)i_Vut%kW|1+Ls)TgH`i{h55O{T~hz_
z&Qy0H`|c=lRFUP=$J2j_A3JPERgO@gE@=F<{L~-flmmaacjyukCw1`C+gf#?TIDAs
z{+qYr%-p2Ky%j<yNanqxm^$=X43KerQ^eH3AucW!1`y))eA*PI1_BLyp95m2iGtzt
zOhUUE;ma+~Sf}r*fD5YO!xFQ^!Gz~2)Q?Os(onHe)J_$2e6`MYw#^YY+vhlM`>zAJ
z!R0=uDixS4-B1@$u|RYba^2z7XN6C{WBi?TRiGoJt68~mkr29)Rvb=YhrUPF&JktG
zaC!dP!ydL3!ogWB(cYO8#N|sptWA}{NaU#F*x5Cr+V0lzJx{pd@g>@v^IIk0`;<8!
zvz`%lsBx%t+4I4sOA-b?-bx@u9#=NJ!32lbuZe(&04zU|c00zV1hLV*S0|0v!F2iR
zuv(rV$bE|mOMj{eeC}p#d)BeSjG}hAmzOYbImK5JL5k4ew5h~vi4D?o==IxdMPc*9
z{b!_%72#dg-)T_fggZQbMS*+7LAveQ1`|O=c++#>LhxB`u&F8I+?p*3S^I4w_*NCb
z^uEQ#QZYU-5WL&sB_R!Jv&@-S))ZjfMXtYdbNryry0d8Rtt@QsVZLiDsR*%xrxwLx
z1;OigZrs#fd2s6gj0Vn%;QU3`zD{2lA|HE47fvZa;jY>Z2MZLT@#k)LA6`+2nwFfd
zd8h>6s{Q<ew3HxuU}1VAzc>UP-1>U_lnSg@qw{ukDZv(d=~Y{EN$6n8sAUUKgHPJO
zmV_FV!Mf;;NW*n0Aimr<v-cDQ6fZUQI1H)4dCpsxHcQKbU7P7q|7;Bi6z|oIc2NV`
zwjn8nK{@ylp`_*ArUfH+SY|}|De$@NvqJL@1#l+^0$!b`!J!Myl2OVUFy&Oup8Z7;
zLjBeo2Hv5Az-^DL=-dD9Meby^>k(x*qE%&06zPC|?%y4yBn`6MzozQ4se<;NnW@$s
zUC4D{eDTId2cl2EK3|`w2L5SveZNlX!7c0W@iMl0&=XG6DBnndoNL0R`Lg=3(I{;D
zt33vA?{_iN%XTVQs7-CS9j6ZwlaotAnMR<|xJPuvUK1#*jqB61^dVGYIlh0*1Ty-#
zPrbaQ1<T{Ux!(Kq;f>c3>98<!U|`v|N8_nB?69W@U8>OomXMC>f)N5vIrZ`1wV}a?
z-NRg-3SAHzPc2eXvH+I1HnJ}-(%|NS=aZEVI*==-(9~ya2@bNqg?O@QAbnk|?|Cu}
z;+*5TLa0`7D=l-<KaK_p+mmZ%<p24zB7RTBaVtoCFf=J<N(1}3-8H<g)FAd0?A&|W
z8e;twzBt5aL%7t{592mUAS$^@-nHEtI4`~OW--x%9ird&!97_h|I>9tW5F6CB-1IA
zIU4ZpnR(bTiWoeM2;3exXblza=(+zh1=d#Xbl895g(qB^RT@Rspp^de2iq4l_*H#M
zlaytIwEPpxU!1I=ZeL8)%UTskcu*XzbmKRnuEK3>{M`y@O-J{{rzt_Nq{htwyB<>9
zG$sGMs})2(+IT4Ur~<TbumAhna)IR5p|t&|w}ifJ5_dK^$bqXzp=gO76J~$k&HY!~
z63PyGG(A2q1tBTte$CdiB7<|xxautnn6$aI^7(-{urf7pZ{g#_rxe$uKn@F#pT5Vd
z&L9Gr+ZbJowsE5im(M|r1SqoWo|eiI0RG8|j=WkPeE;&$(!o&z9)=gHY+>Soz41K<
zPABl<%ao-{F{2wmzwc+{EoV0H82xQ<_9rj?WPH49_OCgJU5fX)tj+}8d=9^5e(|D5
zWslcZVRH~HQH#C7xI{E2Z~T3<m>2tfB<(-^^9d`fjn^&iOcAQNGM-=e^5V8G%lMl|
zO`)7Co$I7gKhYS`AhEi_gMN+~&l>YgfLF<(+9$4sI4_^{-uEsKQc767LjM?p@Cl=<
zElyRWP}S+-J<dGX<4sljZe|QSxUEeDw7-+yw{*t5C3vu0neXwY6eBpyHSu^)^8jg>
z$SuCM%#9v14kD_Ph9D-oHB(^I1R0fUqPfDzg919)>GQ6JK=zl(%G=D4<$3IyGgKZ-
zm*Rc5<AnjRIvw9WFfvbGuMqUR9L0l6ub$qY(=mYRi*tRjb&32Uk-P8B0uOq>-)eU|
zUmtQfE{b-Auabf@y*{Sdyr|w>Nmo?U2i3th5)W$_kh#k_ni|Z9amFW7jy=|cO<~G;
z?AlCN8G3%Rr!hbNIqsu-PEQYbz7BA9++fBjtKYx)TKKWAx}kXYOI@&vJ~ZgPwhmu#
z?>tj+RsgZBUsqt4E^H|j%D>~oip?s!wC3yt@mR52`nxF|u#&uAFW1h7vTBNkXDLD$
zxj4~7rs%*&HpzY3+c<Esb+$xIMHnA*8)#{p>Oi)m-N>hQPFxQ^Ym&@Fu&(>hufQQX
za5fqE_5^Vw|I)MV%>kmAoTzFwoJ9xzuh%-K<#=&=wLJD&tr)VJ${McUO9y*~yU)%H
z^I>fY<1ZtM1PUejAG|J4hbcqqAD=;fe5e-iQtPQC4wgyzvQN;UhTC#S%!mMne)s*b
z$3qIGZ+R&gH__mczS3bH1|hs%A+&p&x(qtmB>v@jOoP+5ChUh*g;Di@llS9)+-AJ~
z^Y6qA8qAMGeg5nvf(#sjmHE8#__z7Z+?P}u+z)7~I94W#Hrve8oD~(&V<?KvJc|Z2
z&bxk!lHzE!e3x@}qauEZEme_!Mg#4EQ<#)4f%Gl!41*$+Fwm1xhNp)H?z30<xHQ(I
zc2?JWfeK{|X?y2>Pnr&of2Dqi=#auqVfL@WS5z=y9Zyh7039M<M9P|G$e`gi=iPx@
z)bM&@!rb-GbcoH)t7kKk!>)A~wLaZaM{ujBy1M8<mj99M^BVGKP%Kv&JVZg+*28}s
zMs;8dB|CgZT>(%0;_aN&)WBpz+dH*cx**t?|C3Qu5wCo0cX{opiH%>J^8AkKLHEWF
zUoYt@p`@GVgDsI-=<z(s?!2o$Xx(p;_cT$)#^b5a-yGM*Kk{aEM|S`7!x9Y)_svyM
z>PzO%aTyw32@nem4l@L+S3`-dMykkBd0b@JhlaXU`3GJ;G6EN4l<HJbL(AlTk$YEZ
z7*M*EQ*+!H3}OrK)0xz<`hINn;ba<C)j9@CSeU})@un!|26eotc(3P-FAbNzJ1b`1
z_{S0U{dJ+f6dcdpC3I1QhLX7gr*p>4!TGpA{?xzz8Qlt!8r8K?KqjHk-H?E&-SHD=
zEU5VP^Mk+hEt<Hk<u$9b0l)|QnmeLLsTlT~|63hJ19M;YJGs;WsP@u6OdX<PV)wQG
z_7W6~wvi@Y{o~V2`-n3wG%9X$W33C6QNstx^t!Xz7GSb%gQf5r3SL;PH5dJ=jEgJ*
z60Rc_(DSaI-k?XpRpt<@v~!Bczq{SYP{tCn`t)^AhN$CkwWS{uMIK8wKQA;jvV_?)
zA4esxsA1X{BA=~M8l?{Oik>mCg!3b%6-gIVarmAV?S7~PhHvd$n^m!d#ET4SM|@OJ
z@nd+K{0R|s<+NGSVz2~?(5Iu3ddiq5Dy1d+QvjK*4W9A8wt&`wl7PfnMU=5#vfJas
zgEq~lvNB^WKydCr!di&}I_M9Yu8y(c+J++%HTo71eSM~;;HW&V>V6RU<j9QY&6qE&
z?*_P5(RiXjQx3g!SeBGI*GQHgSr?%gfXu!L*J~5fsIg=EYvSwzxs>rS>$W1mwD9w$
z$?WyGE?gk<iTMoK6=WOsIF<lyM`nel01334QS!*FoFFT>zv`~w23Qo34;|VshHv7N
zzS^H1B{@C*OO{+U2ftZLT6=^DW;PoSeA+%l4mPD-Ibv=O-E6fsqtAr!mPh1u!JGl|
zd*Nw;;WK97H7vB8A|r^2(*yo3Is;^@L$tb8qbW$|N*Ek3;K%=1Yve`h2gum68+&{B
zP2rKGK&RFVUbN+?T&1i1<G<tYt}*R50fSdz%O=OUag(ol(iwvhvT8~1L4BDqT+Ox|
zedx!DB8TtXecL=nGQTYNqRnj#@rtg2CAsXFFX%%3>^nggZ8vzk!Pf|?f~)M@<=BvH
zWm@-LVv1BN9oOi4V+dvSVZH^QSWujP@T&j#G)dKD=;Hmyp^^V3E)<jN@I)O?y6x{-
zvf}F2hJsrL@S%>!Cie$3iVl4blwFu7%W``EE8sK$J!ii%E-EuBojBRLQ)Q8ClIa{+
zi_!;Quc^F;516oO!|s1iX_;*H7e8}zRuA}MA9<zOGU39<i}LQDSIOYohS-o}deDA5
zJz<jo6H-Qfjcyk(pu+k!!-Pp)=yBDuN?T*Z?sLEN75>G#>BsTkLv=yvhqui`ekODb
z^~)CaX2wIwQEA6kb)a{IlFDVpgs&pnjPCqchkJqwHC+>Rpi;d?J3oyHj}6rPF%4kF
z&6+wf8B#i+A*mzXz{ZU4wtL6l6K6+m&fQZxOX<LKH;`%WpRTn>?G<V6=0M^2n#Cvf
zbhwMdG1N`#P)1NO>Q5sVo=esCZ5^S3m`v)~TyYjGn1`mo79On7q*wj9N(0yQGQ)W`
zRuoHD(+^|hM@Hg7wVg2y>_Q`57RA_*FU@B4y0!qa`#22k|ELX(CghvXo7nLM1Jib)
zP(i#CeWje+L>tP|KkS>$;=r(7Rs}O{LiqOnwxUxdS}^ESmCY)_h11nU&^8AVJjNd6
zih5c=gq>rVspLlM?)c57{i1l#{Gyd?lP0`)aqeAL3@`dBeaURPEsjNUtD8lSYQhBD
z{<uUle!MEURck6t5{+YHG`$rxVNm~4A-jVBo=FAqgyT}^7J3Nz$28#Oqs07za6#nv
zGkqnOCWBk5HT6Q@Yk;Tom2t942nmko`-21Iuw2rL-TJi#1Sf>ZM2m|cEjg;MCPyAE
zsp)f9e`>&$O9GqLUlYa0*D7YcCKS;3>S*gnF-_Qb&eR}YO&nu}vopSKRl;-+%jv#g
zO-Nad9KP^f0^`>H#!uBK<C6pl6P`Iu2n*J(3@KWVc_uQ?OH5VKc06fIPmUIR8n_PB
zENN69-)bQCN(~hzwY!WiXhTAC?0jdwEGA7}SDo2I!R;-L8)LT7z<jFOAYe!i9hW0o
z@+YZy@!Y5k|6dwZ-6-d;<WNBOI-lQ+v6^_%%J^199UVr~4HxY76tRbyBYuTl8}A>9
zi-<4O0Sk`4_dbV|kX~)|c))~)y;d4;4_52KRTCFq|4d~pH2iyhri+HQ`zyDbjOxLs
z#E{reEh;Ff94dLomyS<@-?a^HFo2AG&Vw?HYIw}(m-68@I{qr~Z!0Y^gzlpc<a!m=
zanp)mR;jQKGTiXkGXBqJ?t8On+^<8yt)J@ScB<&0o2cOKZ{JPe+hOsceJWJUci*eJ
ziAe{0u9a&gT`+_8!K=a+b5zuR|6jwF2XuU!RBdggvjK8EzPFa%)WH7%0096043}p-
zmTee^?Y;LNkM(%0XV~FB&FB>>WLKnQQ)bx|A*3i7m6240C?of+LPN`njBFB7Mz+`Y
z>vw**uK#uZk3-mVhq{!7gb60}F}(PKKwF&QuWM{7*r-wLXo)5fD~V&Rp?L(LBU|%u
z(NqP?PIzF`?Wl@%)tP6vIT?aCL+-PuMk?4s+6jqkb4pmlvp*bEe+}V}ZYWhBl?rBv
zx@KmoD`JC-D*al%Mi6r}V5cKi8GHPzLb%#S9!qZ9a)@p>0<kBim{Xe)R_cC-)!k7B
zYwLMODcLiEc*6~e!fpaKBKCUO-%AQ>*D5)rC1ebD@0%t?)hJ>d{LRk46h$#*i<p~M
zJjS3dyLLg}8;{Y_X*je^@MF=*w_}NajKFST=;kb~0@f+)uA?HtjXlv1TAzAh1m8}w
zI=3XtVaEqcOa_~ov0(*Wtkcg30;e7;)KJS}zdeVwiGeiOxtp6*+I&W!TJWu#E)0kH
zHiQZA=dGi^7&E!?PYod<%5i0TQ3`9>UE8bUUqCC|b{)h_4I#Ma5$DAz32ZaYdF&G3
zceL=bro&DzK<sPnyZ%gK*r;~4b2;e-x;JV?BjO2Qm6v<V%|;lLqOtq^{lHfQf5c+r
z^eh6OR#nr=UkPA0E$~~;E+fc-L#q=%GXlcTmGYb1`LLHWlXqPcCXkvnQ&B2a19-4^
zX6yu+2Man_!adG7jWkvaFd+{5pz+aMfQrn8RnrOig2)WwT0fi<oU8}_IWLw+TiGzl
z`7Meg+YHjKa;;&a<pA_W55%3g$c(jw-Al-lnMTYGE9w?)>4HaMdkds7U^;!`*!A0!
zh^j)u$EyaqAj1&GbbgT*E1O(TKT$A_cvg-+y>LYbj-+?hohYKlK6(h>&afRtkiPU*
zi9T)Mm#sPJq`ZgPD47k(H4Gvt<Ky&Z1Z}8)6LNC;&KBB|@KK{Hw-3oL+PM56K?|7i
z70qpN>uAZ|DgL-KUlGM;?pn0tn(&JKKbv=5t7uR8UB<D9x5#7DiYReYO}OO{x#^U+
zj2`Sgvdr<g88N#N)Q3LSfX1Li?!2@=Xk)>Mf>GB!1bbIM@j^%g<V6fA18){lfrNMF
zbeBue)2(*$L&@rZ4(&N|Zq1{b?b33(ea+~^$m3M%9SZQfa$1c)o<nbUWZpmJ*MWY{
z*qEaWp+H}{QsH{%ESi0{a9BY23raOykkGb7hI^5}Cz7mZ&?jnIW-%T;sEIFfSuT(a
zOCl@;ZNfCV#x7aUP}q+eW`2Fbyi9`ohZ8(;wo_>5`U9t~uS2NSR`i@h1PKcDTQ8Ni
zO`@c>qE@fOQB-y~Rbrcl1i^0SXdJ^QQT)<b$9HApsL|*D=7%$gpz!c^!pfOR^p925
z`5V2HsQc}a>^Vsygv~~9>ZVVk-=BsnX9&!oTwh<dNS;vx`eT&=<1>@!;Ng5yL%>he
z(eI6R<aJd@{Co0r>V+w^^zeBno0(sz)iWBC_BSdJ|71qEoHUKvv^^E?Pxy_#uoZ8g
z-Bt#H43+is5;N#&^)s?OWlQLDge?4CR~ZspUJuUb&Z4@k4oI!cU$i<4b+?aJ0;V(V
z&DB?aqK&rnTtzL*=tI3uhUg9g{9G?URT+MvrL6%<Q<1A^<%3CGO#uRkywoW>`(hp?
z`Pno5aQTN$edv4{;jIYn$kYwad%w{<Tjw9T=QhyXAJAy=1`o)c_vx=rEunfU1Xsq=
zEwoVm-B6_r9yac{H_T=IK_{6*_%Z%nv~2u(S!1#SoUBclKRNLi4V)OVd2*5pQ@wnV
zIb~TMlEWLLCLC5!0~&$?;Ttv9SuX5ibXp#$dWj0ztE*_*V;uiz5G_W=vY(3&%E7sC
z>b&*le`xToXMTk`J@(-G?H&&YIney+GsaT8fy%`el3QdLvA1g9VuOcd;XvzZi006K
z{_mapR%y(Pxlc5|$Ii;a+vj!Nr}cMHC*O{VklU<S&zLX6<faUGZ3Po({Hd_N7*k3p
zfdiwr9`3%GBLmLAk8d;npvG{i(ozu3h4H$aKh|_W1}<n09A*un#XN!wd1hF6u*KT#
zM!#P;SlBAObeBSp4KuGV#J2EaZdPoubPsT#t-#$;A;E}k+nnS}%jd_kIp!>-199*@
zZ7a(~ml<=etMRNT7sUEK^p;+l<G`})B2goi74s&QXl6|dW4jlqy!9wJ$g+DNxW&(b
zt!^ip{Bab+LL9usBgi;lE^|!o58%Q+xv8_+GDu>arh9uM7C2b+xNrVyjT=+r^e+wh
zCxw|sk&i@0;Xv6xCeZOdFE&Ix=&q28!(=Rze~WkF;Em)}PSXApx)7|Vxe;0He1Yr(
zr^7O^b!)}4E=UktnGySB%PWtu6xOa(uFAmYq#b#NJYnonbJc4eMm&~zzE?KBOBO80
z?ku-0iegutQ)2jq2-xylEgji;IfxBPH5fQAfw`fHU)_w9v5u#sx9a{=09lv4KP=f&
z*!ZfMM0t!VCh~z67B}(mLF^w}APo*X(3{fZ?Lox!taLuL&?<qU_1dJ<Wf|<G`R#;f
zNhC})Dfe`FfC}8X&iSfWR1S0hNrNO5lCfSMwTpo=M95rmI2F_)k6pe${_<uq1>=+`
zQAq0`!72aerL<mn%o*c+Qk1NYH3gsb-YlWO>(!y)3tR+Du-<w(7tz3;Jx*MzXwZOG
zKUa|lPn58twdYSf8#J)4bF7i=ds^`1is{uXiVCLo<;8)WX$`Dn>Y~@8uP*p?_{Ckn
zp^8ybEzZn0YGA4BSL=rV=z&F;KpgKYHOvEN+NY_cfmu<_{mhO;AmoLwWwSjId*4<>
zKq%_iY$3U->L0-Ty{97&N{HAS!N3TIUNXk>X|dE%)Ce+z%o(iPh?p3cqiv=r2^%}L
zpfD(E3<ZDbBiZVRm`dDvl^Ru5?8G~<x%A)0aBH3Aa7r){^V&Jrzl<tkn;wecgQ+GE
zZ)2?fb4Lv;&gA6Ul9a=aMm=#6UNV8S&NZ6RCRHq+`%RW<q7;_hheo!Gnu1<$yqFhZ
zpK}5a{`;aMgcZ3n>)?1zfm3F?Z~M3s_C<@o!&!<8o48he)^OMa8kbJ8yth@vY`#UO
zvW-z=($wGYkH(w88_sDZJCXt>@ib0yM{ODn^QpAeW;X%GKg!7Q9a*f#i_N6x{W$W;
zb|IG`$rxhavCNOR<FIUh)|`&<4df8h?3JJUe6m)mRXTE83R^o*hun9i1*ftkMm8rS
zxO#%gKX*?Id#}nf1!N{T7v~Wp@X8Rr^~IIl*b~A+y3gSht5_jK&Yj6h#Sqx&cJedy
z`7vjyT`Y>10|ZJodpipN`g@I7Qc-S9A|;6K`)y9Ran42IH6H*n8mjY<iyd=*dIps}
zzy$>XPEI~@`@HdytK$ff5%W*-3dFp*AXPE9{fwFc;8%-?x!<X=cc!2a;?D)ZovlTE
zP#>ai<q2x?Y@!=hRnob3Trl7Iz0BW74+NthOst;ygXR^PTSO^yfdGfZq2@aW;KIP`
z8XQcZ$7*WbMm9J>k6qMuu}>HLBRSJh(>62(s&#M$oN!uKLtRKr7g{)@g8GU(k;g6y
zY#COZ@Vd+()zw=EE>yj?ed;)l@PrkA78m4%Q43r!b*nZ^<6hHPde0+^|3Ztd?Qp;|
zW@}y#Np1L{sTX0{`WNX~UlEyQ;DkGx#vHqeT5uy*s91V(4H3TCY%-?F2}l2xJ@)#e
z33J56Q<hbmh)p?dgmxw;@abyi9XYKDZ}>mZ=umbMKc7O@C>AdG{7FA6YFGpO&RfQ%
zqg3F0q^8)#g9}b|1wosO22|GMNMEv{0ld@DMYnD)$UjQS<Q-QB)9HMV;VxR}&nfoj
zcIJkltEP^p{nUZ8`HESwB|QY5a9rQs<c6ys{I9>>rGS&yN|*U-26(Z$`mUmu2V&@z
zmMwEA;3f_6BL|qkpN>uDNfIxxZsgG`t5YE6u*7MBCT95jc+U8K5FhYa3>D?~li@~@
zZ>+WHes13CD{6%ELqh(qre6tUcxy<*aCd|a4CNP!Me_teRotc|T$2o+!!L~wU*&)|
zw@hAf_X~np)_L#xB@(Q^?5^&T=YoajzV2OQVVI4VzpYYBf^v~XOqHJ-j))K{*dB?1
z#mf=y=x7qC%aH5EczEE>csRYip%}cqpuKbQ7zubXrO%5>@<K^yfTqxzIGhZ~tE?cC
zV93%dGEJWkLV0`^Bi~5^k($QZQk(=vDhCv+{P}^y-A}z_SPH(Hdhpuuk)WhLCFypp
z0F=L&(>OCF4T)R-Rs9tr!6B84)~f76Ft5Z?XTOC5P3Q3ZKxGnGoW4ZQbx9c7MBlcY
zkdOtRW_YGyLxOv>#@U%vqF{d~?c=Pa9Axm7MxaR~_*pCzS&%0NkHoHQG$zV}eF@nv
z?-L2G<m`BrTS$Oac1`odD+ORRQJ%L`CWC?+yMY;l6jUfhE$7lI!Z~M+nhSTyfV8E$
zzF3k1C;Xj4VIu<AXBJG@DO14biC09=xHQO?S^X{!R|54D0*8gaQlL)L+wsG99Q;yP
z*Koh940Ik)cPT?1>Vsqw%=%<t*Yb;JShWhQP{u=Q&uYNXQ6;kLevjdhmH)(wRpDVp
z&!~>0CNR|Y-@5ie4kDrp+Q0j#!72-b-vf6o=-GZa_xhzg#B~RsU8N!di~S8GF-{vk
zbU~*}$$r22#n%m}5aH+{PAz<m4jA6DjWdtLgWzT9P)%(jY=*CQR4nR3|Jf#A6<tLT
zF2cX@6C*;k50}<2iXQy6^As-{Q3Uqa3er4J)j-31F!_0yKKM1J>7Q~Zz@cPD7x^Al
zIKB}S!Cz|tX`eeHYB2(w!kKS1mZ<=>O*h@+VFap8<__FlB|x$!^H)<9Wq5B+VJQv+
z7^+q9Fxw?S5}o4Qb|3+=G`r)7O8_!x+$H`20{GW&6uL*_fnQXr(aFvbA_b{ltt1iP
z;dnA#_&&Eq^g90RE-{3rGr!!e83@oQ>xq9tkp(NQ&#vafhT!*mW{uWW5i*l`eQLI)
zA#I~=>fEj&Fnspz*S>~_xYU13rG=89==Wu6jL8UG{a-&6DN+CmE6d4^U{RQ)`i`mW
zpVyWbd6RZi9u^m#J4>Vs!c%E68{bhwa1Ajz-V-JVnZ{z3n>)PFvB+~nw#E=hckZN{
zS<1qFT214qFI+J3oi%_x)DWDVCcUVHWuR62MI|#I+y4F?x;&)1Kc}~#<MD(vOpYuU
zn%OhLTyh(e)DM8C`Q8Oi)l#r(llM^J6fKl36N_b208}1E7PqrWLV0dvP!ygDQg`kO
z&Zq)>_-OBdc8bBKm40Wl_7<X%|Atwz1c9b$jf^AZBJf4O`*(@mKcs0qe|~1h0KP0t
zA9_<P1Vp2xCg=DSgnza+98ofWc-~evzE=WJ`(MhKTHaq|_?BaPV}L%qI?X{XO3x4N
ztb}LDk$({SORFjg^?I<G9vj!}#|wY!YFK(`{~!m#Tr+*B^x!I8T07S^H@p?G;A9c`
zg9LSYKBBcc02((=Ub|Ms1-cHG#zss2AW`?6(eff)aM()Eb?4v&a+cmsd&XZRs*2Yt
zdsPRdjICufY1v_Z@rc{=cgqOv{8jF8YaQScAoO_Xvck(GXM;79Riwh+CH#J+HaMDD
z=><JyhF0n3YprW*h?;F1>o;y~IO==Usr?ia$XuJp@AR!B87WWXFGXlUbe?(nr$dYo
zky1z){jrI>O|^4NozjH7i{d0+F9x96V5NJ&zJvIx$o<)|(}c6`Sp`=0^k847WNqoT
zhveF^#(#RR0lS|+$z3ATgY|57OUW!1EZo64ZW?O<Kew3K_y8Sva(VStQE0$xmc~B5
zRUO<P6;O#((1A_*DFgK^S}2U}sq-;b2Z~OL8}B_jU`$a_%B7))PfTm=*gFa!xiRkr
zU($immRwV53Ihn|*A!&gQecYPvhDpg9jxtEpSyx*0(Gw8{*?(bh#s$ZQ#?Tr)w2z&
zHDk>1t8gTaDVz*u*qgTG33_lo!J;|!oE4l`v$&VJ$e_shUiHTQ+?O9Yt%NJt;hbFm
zy~#=ve2RUkbLa>otdBf+6xYEC#Vrd*g^rSdztdr9Lzf9;@e(&NT5cF=7@zCi+~?k|
zp_9l#W(cB%?yuTBK=Wbk+4+Y=_<X;zV=t5iJeddYyieqXM4RWO4sJw<CKkzieqaT{
zplo*PPd<1oYSOVQOoShM%zOi;>`-*U@7=nW0PJ#|8UEFv222%RA-gji;C)`@&=Q>x
ze4BR)_-L&L8y=fKdK|gnj=^M=J}L}W>uZrp|5V{%7(<bd9XFJb`G2O|7KII$&ApG+
zsxbZMhRf%(JW%FvUC->MIJjQ3c=9Sv73M^aOmJW4g-t5cn5<e!;4n%_^f;#q%v0(=
zp_dP2F5Fj6-P~8Rn9xcWA5{n-dIUO>1t9h8V#AU$4!%rL)jz$e3Z4!p|7cYRLa$_i
zVQ!!d9E`5#X?(8=yt(gd6ZM55n<1q7<{Md1NV}VcS5pIze{Y-b%!>f!Ti8_x1$ppH
z4bE9_QUj9%exCxKi^0>t$K??@3J@ePi>uZpg3^@+oL7Mad@;Lm{sxC4px48)MyiNV
zST-1xZzTm?SIC7zsRST45{4@f5~PH*g*rR!??K^k9!UmeFj+F46PhOh?S!w0?Y<Y5
zo#qHI3s(UuZZU_^dNM?d6Yg7FlY#M0|J1^MRrrk?nb*BXf$!Nq-R9M@P;ZuNV9!B>
zk{8<T4<4yQS!9&`&0aZRq><pT$R~pOL-m_wy&CYQt>jbTnmjyg_ruk2l7K~ksUkpJ
z3u0`t`>8qc(5$+5edrVktn^4XpT=l|uY`){Z6QUdp%U}eNh5*$77x+kpAJl=PF^fw
zBS64)_x{mj5;Xp^$Hzn+fM3UT*l8yTkdhJqR(_vLu<+{aNM?P=d11VflB)zghpS&v
zW{F_yuNNkhWdMH@x<|aFltD=yZ<}_I2%;=ke?FoEP)@y$D-Tx&G1kW6p=njnS;|;B
zUJJ0D%iNf9M;R0k=?x8zDMLZkM|UM_L(otD_JZ!RGF&{`3JDnm*kZCW4(T?8%iJAj
z8MTxl-8I!Ih87Qxn*<Z?=^26Wtgu~Sl@e46M^35P%0U<N{nVIbBRD>EkZ1nyexJIq
zs(!tNgHf(aRHy2Vpzkq1ZiSuz^Ttc*hMy&&CEyebdxsGiGLjr&5f3a3mz|RK_j>4a
z&Yx+`Mqoi7&F)vP06MH~t(0MY;65j)Fnrqx+&AV1Dm>&tW8HhnA(0#8vzeu?yBk50
zGZUEX$-*I>qhtCGtZ)TytQIX|1TxASMdU0Q2)p|yfxeCoB8B|#oo+J(a!bL)J1HET
zF;c^Y>+T|^(wzh78AD)K|Mx5EnG~24j^#`<ts?KUbfWU94Z*rM!#ciL0xX3m)6JcK
zAq%(0#;)7~@Gkc`{&zzZh$Xl_uF)UJOTB@KbQOR;<*P}|=Y_%YFcq?O`y*0W_upoG
zA_6myWrPcO1>x?dQFFIhDPj|PDKfXp0MyjOWIm7Z0p3T<RNAc$Z9jIMcWYQ5j(;i~
z`>&4&GI!;I50AV?dw+hDea)p0(mrlhDVtodR};|RpVEO|T{Ew^ZLSBo&n2Chb2uQw
z;-CQZw4>&BtCa&u2SAHkzGy9N|6W82<-4A}LM^?1XO+Fxg@n)DLb`oSP|;RSpR)WM
zEsN$i+~v}RCD|iU0e%c1D-%EZ)Fls9zPzy7?xq8R`T?2G57WV=^n%2u1CNkp&pg$E
zYHhgvplohAhz4$H*DS=(w<4R_G^GqI+JGc9KVR#if@~y7=HSbZh@e#IKZ&ziU?6|v
zh4sWP^47g=G>o<vp%%+1{QFiD#6~h`jV^B^Rvfb9r8a}e7e>blTQyBc#r13_q--J^
zB6Knzhena*{M;(hJPlAdjLk$%t|Qq+)-xNTlSq2oUp$Uk1MV;VY&@Fr4;i#~ZX$Wk
zAQ2+em(4Dz!`c7HFc-gugx*Wl8EKe9=$T~LeU>R88db-=`eGGHn53T&6#tDxwk1@A
z_*3BSEe*PPrBy_{L#X=EyCp<~A?>C00vR~V6%Vt0TS0hzaGRo8e-YcKJ&RKTWQhI1
z6LzG21u<^AbyC)A1!>GYFNR+u!N$iB8vphc<SO|^a>&s&#GR_^Kjv5x3_qwi{hDqS
zDJplv#BJA+%a`lhW7zk-CS76CF<=$BI88y~gEo<F-B6>XLLyu}canL4ZVlPv=sN6D
zwT=ATlf?^Ch#+v5l`Zzo8uF;O=3xWR9>Uz-^~Wzq4L;oavMO2m579TBY>)XuweRm<
zCA}Y2q4B$oguttHguCV0+&?uMus%9LxWuLk!O0ri2dOuaAnmTfZxysKub3N<cvJ;)
zK76K=^4mh#rt?0YHKB*93$Zbh`yRlH?<!1X+(85mZMP^=F~Tt#;^MVcB}mYu=iltw
zMFPv!Du>6I;Nl<0MulTau%u(Cu6m9NIOHjzNee8nwmnj9*FXS={IH+b6RF|2b>940
z1$OxLOCh5OPXJ%q9Otr^G|+8CXyUoS30v7I?T_v$!fvv0PpJSMJYX7<QxW3^p^b0q
zW^#%!5YEiPeVrcSJAZ^cO5=g7n|*C(p5Y<$<l~KpWJcgN>|#)p-~%fwL6VLQ9t>I|
zM$d0CLDkA>iHqI*pl3lnE4Qft`KG*mPZwF>wn4<^sVYHuawgq;pYfqptj2AahaE!t
z^i%4e3Bw_!L=m?b1t|H(EA`Ne6VBf++|!yCg^q|cQ??TduzQNSH)Q{xYSZ0K3o(;`
ztBljh&+HU{`*FhFJ69eEZWd+i@sWZC*Jp2v&L}`b+KB@5QC{HRefbdmC=Cm-&fIrz
zDuB`gzv@5&KTtpUC>UrV16iigKH@V95a^o|sDDThC^h1SZ%1UIxQ<Um@+2NCjU(Q!
zs0)LNP=MJ?nmqWGpOLa=P=vbeE*n8pQTTW9V&CkM{d)<$Lbvim5l){g*H*YF4ln(=
zh4TmmxRG*fYjBwWv4-pLtxpoBFC~V{@+gC?;cEkmg))S_5u0#Vk_Juu!0&2mRd|br
zD;dnFz-h^xvjUfJFyeTAmU~GJ=$>oJE%vDGd+7BFlR+7HeXc;gZoj`|ap7KgHWFxm
zbuub4l>^!8gDwdlNDwrsIP=4a3=1!RTq~@Xhv~z5j!$yQ&@*b`8TpL@Pl{9WT=96=
z>FUx|GNwRiZE4d=tOn#+h6i5GR)n_V`w6_SDRA$VOlbcxEod`y8+TYFfW+y$+WKtj
z;H`ToquxRXw)szK^^uf;EOYRaJfAv1{l~434*UJP_~p8YjS7?>SK$-vqCg45=vAr<
z`p}TssyS<*3h@=`=}tfa`@xzD%~S+v4h{F8TvmmKogOD&S2BD)6g-b>2Z()HGdbd+
z2FG|~raSjNpQqt!IAPzX5`*nmdXv>4x~1=Ww!a!sx*RWe#u|Zs`O?8WS2d^_Y%UV#
zR|bCewg0jS#vm}lKD{ui3jdOt^0xx;5cQQ31Qo_0ZrUNO!@tjKCIwlGrLv&u_)61q
z#~9RU&)##VQh|o=gN2>L`?<QPeU?_%1R^r(mn<JC!Oe?7oyj30F!+Ke*htz0s7QL7
zoYDjcG!#sitmTFNLhF+84PzjNc29Bm<H3G8z{>CdD_HY?VBM)ThM3JW&)ACO!M$~;
zb0CijY(GCwRJ1n+TA#~yE|@G_kbK@^?ED*vIzPZTFl_{>oyWTkhW9yuG08t0%|=?i
zEDj9&7{Mn`0$13c6pTww@$_rVphq(tyQJp~VHOy@ac&auy%PvSLn~-)Fj4Wkry&F%
z48HtmQUn(GEmCQ|Y@wTP=|!c+0FDcBH8tK51f{c_ha<eGu-u$8T|e9ah$r787gG4Z
z$FLkL5Tn5^$WxU&V+c?Li_;vdx#8FZy=SEgEtX|bkY4%00B-QyRSQ?-fHFN_S}Tke
z^Np&18$GHIM~lBccRs@mEFWIRimlLMuLQZi?e6LU%Y@FtSAKeEE{rm7pP<DSvvBTI
z3VN{XTA61@rUrjzWoGA6T8#ae5v}NcuF~R`F422$A%65E$@hn7F`f**18=i*;Xotj
z6(!|Wq|W#5JHK%nEF?juFtl3-!di6%O*Iyg*l4e^oG==!(4<5+M@$Fu)thJ3Ev67r
zV}DvsUK(sKn@D@tR~tUlbn@Pu>PL=E-FTYSM2$^Xm^KQ()`F0uS|<X`ULk!87RBUH
zYD_UQ?n<tt7Tk(?wA=K)7FBmzwQVq?#;BLe_?qK1q4Zm@SxwGYl+=b*ET~aqw##E*
zwSH<qWSa5&`+GyE&VP;%`YF^{*TCt|9d;V<V`NfM>*)l_V&{Bp^B6VOR;nGM-k}aP
zHYfIYFU+EjF()iTv#7D}I(!Fh^woi*lbs|uHjh#ryK`K7fg1ZC0096043}qE&J7gC
z+dFM(@Ab5v=V{OXX^;`6(4wdaDWxb$MG1w55`~C_BATT9Pm$7~sgzQrw=M0d*Vpsu
zT<5y(-|s#*dyPKNmFj?5fB)xO7bZ!U(_i%k4>RE{vAVb120E~#VKKt<{1n;Cf4{qx
zi5Y#l`L>3Y(IMM!&%oZ}Go&>VlkRVs@%Z!HDqTxDtZ=-W^Vl^<R(ZF@m1M9WMcMJV
z?k5^N9bK?~ZMZ--CTW**-)6;g$upU!-D%LfBwA;sutc(3#KzYk8@~B{eU*Ef3U}lG
zZj2CLA(Pv-H6?R%-~)p>k>z+QSl;|meNXW(X}FqXx;KIoyFHT?J=CZmohX*jslb42
zUH0{RCAje`amb+PhBo~E`c|Ocnh}cx`5%e@;=%Z~kOA6&7PQqrDH9H5LQ|8|K}UPn
zp@ivN$Ws$7xPDFO%L8P_H+SRx3@-4aYDK8Z^E;Yw>CAWM<8rJRrlUW(wL}0#{#<!G
z!KDedo4i-U@35gtchI{nEJAp`sCv{oMg!i4Z<QG|;J_KX2WK<_g)ySd)2oC_1O6DM
z33X3%;`iGAtITU6Sk3-tAUsnY#^Z<w58JpgSLAixc)lnu>7J*ovsQ<x)p6Q`9$q~3
z;fXU>tQhu*tClM+Q6Oq2=Zq33KlW*4rusxnU{NAt!pC<M*vEF%YMqGyYG0H(JN!fn
z2i7MUxj&$Q%V}w6+gL%g=NeO^EX!c)Y=&D-1_dHy+BT+*38DVimvXA6a`?JXD*a17
z1sb36C?*{j!MOM*3ge0LxJ{Ya<oZtvJgmQXrI=q7)Bh&#e!i@L>Z}pVYsTvEIs1@-
zRr3baYoI3GJfnnaqEhPRW$KXN+p<xnKpai3_0DtgsbJ#ltap!(1{6gy?s!=!i5WHK
zPuvSt@!?jBlf5>YaB?O2Xlc7N-pCJ4%JHUP?tcZ!k^8kkEOB`GQoJlaa*ZDhkkUZc
zp1I|OQf-h+7cF>KCWl@7?kk6V(ZuuDCd?h4P{BZ8V-wEF<Lge9z2ULiI32i<?3h6V
z*-B>J0aHa}5bO+ROrqlSjBIswAsx1hz8$=KSqYa%UGfXJ)9}y7o<Qws9r&+TJH??>
z8MXGZ-i-P~!~KDbfe|ix5PRkQV?sd{(+=i%eh#8zLR;h=w*h@ft&OUQ@lwO(E2F}>
z^>iF@-FMzQ!4P6IlfLRFQSj$uqn&P(bZpROVytj9hQ=B@r<)Jdais7}j9M2R#~#WU
z{Z=uBZ+2#E!ATnUc0*0FRWu#5cGRcyGnj)ZN7kS8otlVy+oSFc(eRh-;0Lo$1RQtD
z5RUBD#LxpGi^xSo+3IK7uPXs=Gcz#usA%Esc*jx8Z`!yb+H}e3k_DLGy&AKhriE0u
z+quE|nmF+)I$TND5}MWg88v4$(S`^ZSTLdBe;k$8cS%b)BItNaCrA@@I)#mLI91Rn
zEWwmt#R_DC!bfbLYv2cm-wBW3Dj>5C%g+A}TfyVqGUP<AI)2(=v_Ji{EWQkp6e_r2
z1(RQzSSNxgSd#EDdpK7d>$T5H3`APNd7Jj=d_Fbg_Guc@Y7@o-*2Zjy+^is{S~1}2
zWfiQ@yBSiqfe-r<0^PW!tRU}ORjTZm5}J2=i(53YV%xQY57_H0p-N%*nFkh%m>lOE
z^0a)Jq<xTnf6B)a;6jRV$aQ&)J7JRCu{=f^w%Yr%ELnj6F~c37hh>o`=UIc!Oe6WK
zOQEOuf(7^<IhD(nCXME672VNeEd-DKm+Tf^3uttZ;b9J!z`GZ$79RQx5)Xp?@BK;v
zVDRzIEsEQKu|-1pjKjYPtK9n?jgkQ0?=cI#sTDzrmP4rY#%ZEP?4s3+?F0-A=Lkj{
z3E?qIn!ECmS>n*1#x12j=CJ$K(=&H_`LQ}?)Gy)A91#|J<Nec1X3!M5d)6?37hl-0
z=eCK?6K<v-*E7B}1>H|_&95(WVvJI2Y9;GDAw2(mYkQvwgd9H}TEfbP7LJsKw^!$g
zzng*!**2KKk>F+a@4ZZD=_U5V_wy`Ka#8l4{T^d54sqh<;$uLml#_D%24;xV`zPGo
zGK}Ea%BwsHnPqa=pZC^q-!!oh7gt*|Xb9V)3tjmN=Sa5C=ai@0rijPoR=@NO4dK`3
z`1eW;Q{?nYKzLTeAHs0id+Uw_1Nd_4W<~Am3G!_w?=*k&B(eJqe?r-)KExbYQz&^c
zMAnZzeOBK5n<)Nyz=FD6ACNB8ddvGKx$F{59HdPUZ+2BK_!jCx`a{WKrL#R`x!I(K
zOU)RO`Cz4wCanj;vS;ds9NI~%j6Cj$v{7P?mbGSkRTq9}oIXgmX&{5yLkm|Pj1Xtk
zy4|la=t7+7=6g$8B<cG~-K=tan0T`t4I4sq;JI^=p`FWp@<I-C{LkQFLh3ux`={t&
ziO*QOzCI!jZru87*>IRh&|-X<8%PJcBLgopV=IVOzVZN9K&ZdLLq@|y98Z=t?+gv>
zJWE^;uYDlW+<)CUb8?vYp7c|9<TMTL9`D?0nEHvRmp3|5GB!+vo;x9@#!LhEc4?NF
z_7*}&>Jmry-4Vj$Q1F|A1S%BU9JP5v`$9x=u!-<p86`ShF*#6%3d8rmEB^KWN_0){
zsrp?sMyRg;H2lC@8^px@yoxfu5uYx<5P2XzK`7c$UPUKr!GX{@bIt1S1iRx(<lx)i
z#QdALod>EkVL`TY{n(j)qD}v3BX7$jA<nM7D!Zfs*B7#EDr9~VFI79Ho(%pW?8h)5
z$3O$5t40l9whj>6bArUQWTpwb+&f<1!_-09_pHmdJA*{mhd|1}*%_j=j?uC7pO21=
zMI2>1KSYe13SuPd93ka>GD%*L0v}@ePwlxlLeOWEzAL_-Ck8a5r^ODb!8wa}Y=Z@3
zgtYKJkK?x&iR(%~9^EEY!SM3Q_VZl72^-1Hf@cbsiCB&Tlb6z}Q1YjPU!iW2s4a`H
z9%K4TOmsO8ABt81=jf{^9Mq?XETK@&zcviO`t-JV$G9@6&z@ql%$p|ej*qXHzhHzB
zmX~%a?#hrqIpO!newKKc{)#Wuj2XUNZaEa+rUdB<@2jIE=ZW`5zsxPCS-`uqd;jL0
zO2EQzC9WpCNZb)NOuf<02A-u7Wu<M3Q28rr-r01S*tM~&vvr6A;+IQ<w|OXnLUI6u
ze)=lW!c+F}9gQ25i}L4^|0qCz)FSP<7y|?~Y8<;;%nS2@9Y5fT0!W@oIyDo^2#c3K
zeql4?hYe@L#OPE7XfY{MwAjE5BP#0osZ|0Ha9>66RIfaU^QVSVn^~aG@co^){z9;8
zgnZ|GQywy#zXd!kW`ntVjZ(ALBC!2=jlI8zJQRtJunc_UfZg+)zgjno!m7XO(|daI
zAaF4J_dY>xc<7hi%NrpE9FhGy2q}5^rkTdxcbyj&M7l3I4M{+l=$gKOm^?%tGaD>b
z;|DjkPTHn;X}JHCv+=NoJmiIBQDt)lAjX1uk-u0L+-fG1jNIhG2kp8W?1f<Z6Krd>
zk_VAj`Zu+n%7Zhj47;n82<&hZi|LqBfMbQX_M)@`2rRkMEQLfNDP*0DSCta<oqL;X
zLn?sjneb0#x?(_P)14b$s=)KQX)5P+MObCaU5$yB0Op*Od0A2oOzY8JKT8SZ7(GYw
z8KhzBg$AawL3J3j<#p|xRR+HgRrX4IWFg4&p-F|j7TiDj<y>Z(D$Lma8a`Jg2RzXg
zp_}!n@b~pDxR^wN<|oUQ-Bt=ffANi?>_UV0`fUZ4;~MaivH8)d4n^SF&}1WVk`ARF
zoxEO!+Q7Hv7@x{%Wl;6T7{f>%m^<LbA$pPqTCrn1d<v?-p3UwM=Bo=Y@{ceHZq<SP
zkw@))8r7g9z1xLTLk~DP->E1#>4Ed3r)r-5>cFSfeCW$dJ*f3NJfWCo0IabYXN>;k
z^>d4kMfSKJ9J=HBIEuj-ghM@@PJ3y=$9D;jE;sAJi!)}H#WAMfvrT?WYKAsAntw5<
zaL|JxRh<SuegaI!io6E5P{FQHKR)r_J{<D}LfRhyCKB8#)iSBTIbhqoUP=c>s?4$?
zep|riYv<2?uAxFG8QCcwK!cLRIp4^6OZe_Snc7BDfo<vLkELNPc)xfdTC~*)rV}^h
zhFqY+!-HB5xiJ(7<g2^IA7%|aMX8^|#i%fpv^u*ypaf+2!HYaY*6`8BeaH5{T2QGb
zYcF6S2Wy{wt-ecc1cqH5p>-jeushQ0=30sv)IRbsBL2-a*97}ho~c7b)0Rq#qX0zx
z?*BMEW(@&%_EnbWt3g*(+`Ft1W?&ZO*m*k58fG;4@Ah9)f&HHboBBJ)h;IvC-gG5v
z_%C*hg~3e;IO<cm6_vY5k>0ROhD<9sd<YmX%PWAroI#J}<UBd46DC{5V+HO;*EK%<
zk%dXI?5OJJOqk~~WBFgOCEVz4wG7Laf~uyx-|kiHXy#x%?()q73WDeTN^Xh4X+Ex?
zt`pq2>+B1Iv`rSU^T%(Go;nfOwJyO?nqeI}^5ot7RSa-NaWOHL5Cr)<VO}%Yd}y(x
zC3Hg_K-6HsWPFwvCbza4_1p5}f#Ih<7wrkyEyExix6BTD4c}cFV))Tq+~R<!vpJ-Q
z%yj&|!UTi&99#vj@nejQd{(fZ8N_PFSL<zFCQf%>dwV049~1Yir*$Qmf=S}0C+`BM
z2<cfWyZTOkJmfTXaL-#4C@7(qx3K*pves{(Tan|(C#UU4N9T><;Z3vB9ai;(Gb8UM
zjzK=8X_jR^GBJk1wr*L6>>4sa@6`RK6h0iDO?#Yk$q3{(&iP$-=qHyB+tn4h@S*I~
z=@aU`hEP_{$x)m#N>XZtS!zu9FypX5S-goMB!s$(^BkKZ9V$gkZGjK9l48_}dj`-m
zu2XjG{v7$0N4reTmk%|6-hR=+Z2)nrsS2LqOQgx6MM;9>!)LR(>I@P3;Jae`=?3p#
zQhI-MwUZ1#in(=)h0W;!|I6w{(*g#(&KtD(+DU%2uFUn3IH?EEo_5zgv|&Q45#M7Y
zKlm{vbM$`0qAr+t2)<5gWX6)OzqhXV2;jyHwX};dy6{e^k<Po76`vX8q-<psM6Zp%
z0``dLLVS0gQce{cO1y2qv-gc49?<8ta?I0#1Jwr)oHyk_rkHTa$~Ym+Xfx+|yhR68
z=r8K_mviD5S%C?GU}4no>yu6xr^Ao@u8!xMxRItGDLxw_f_)uKBaS!epeJ*A;OciC
zY%6wDmq=TWMUGq>c5S6Y>-p%pZ*l9ef-cl#+#-t7Mz!+{EOb~*i~cC1%#ZfD&vQ8`
zV(4?-L%zS727$>fa!Eo0_&|Y?o1Q6-e_JAKlM`v6cUy$+&L@Zw_h;2M(j}2+=)QWr
zHw{Kia=qClgwU6%H}%O+Dcn-?$Znq%4JiD%2Ywp}V@j|X<wBth_L>J*>ub_rVdX~X
z9v>03nv!4F-1M(^=UZ&{QlP<e-ONXhPuKtZ6U?^ee38So!=DRzRA{i;bZxkfaRXKy
zQPj^Ek;loD5Qi`$8t~iD68HOyVW_xANCvkeN{IBwuG>q4@y~4*M<&J5MX@Mgy`d6b
ztjpE0{I~z#o=@>#E=pny=c$2SKV=-qja0tVL4%&isSz1nX`FO+RO5T9f<>x+MNf6;
z5TrVOL3Kt3GewrKjt!~eracC^!`XDm>O3JL@KY8=c+>VZDpBylmeJZ0Z5`;bTG(0I
zDu=fY9h_ltQ^$8Y2W4n2I?(K#e+}y7@hwf;yX%|=hWNbK-Ed78DElu79C)vQDw$yl
z3CWsx_++{FL$81Q9w!@2Nkt4&2pc>TqlJ)0@VGhXL+tsO&;zAPC>dc>uw{of`n$?`
z^gA0swXCXH?PFzh-*KPEc2FC$a>jPG1RKJI<h>F9_=ZJJnMRRvR6ND)k$or22nrAE
z5`X5cimF^1-p!g+9AI~!JJn+hr%pN*_bIBOYNM8HxG)vXMG_zFl`(~&`Eqy3IyGFV
zq}eWKYvUi!wiwd`W+0xY$fjXOK~tv_dv7*rA*ZC(kWq#?jK%4&Ipk9?fnp|V@Kh70
z{7*3mR}=6(`B-PlAO(XsjS83zH87(|tHi+<pwB{iC&v^8Kj~yl_n)UA$2MOL!vTOT
z!pXc`O%yCJ&+TDIQ^nf!SOKA}7I48*+2=?U1(mLkxrsz8V|SvJ*p+k((D0aXJ;_2r
zH7n7Tolc6lRv9X5(PjY;y~Twm+||(TmS>fjqCBqMFIQ@rvw(BOpRRUaSH+{|Y%%iF
zGPu8mzPX*r63%vl<&MWH*m8(Q39pktEmKYL;zbL1RMmYzAWIoHefo3f<S$Va{pIp1
zvd01vBEmJCE-GPvYVvksw=i-|`ldgBVF6>xm!A8$D`Kl{fw7{}zdW&|bxoYKfTL1u
z_nb8q@QUg6)cRr`)HDo}oYb~}6wSy#EsJufQRyu(Ho=ZI!X^`D{Q#*g?+k`&WpVHt
zZRe-o%y>`fKN+Pf0Crm6<tNQ#P-V;RA7Anq@DP_s`a?QEjN*FP&1;g_QtG0oq`5*0
zhV2{poJW8n6_00ji{rLEBCGH97sw?y&)3O+%%PcAEy}TD113NGk6y5ImK503D)Lg#
z9Qvm<&xOpcM>~-XN8?<k$tO^rQX6Il-S&RhmJLLZgI%t<SAB~79=PbmRb>hS|0$pC
z$P~hqBX{pnp8O%LP}sqq#}w>rrzP|?1#x`&!#(%nKct*O`8ukr2^d~-yL<OLKXMG*
z+#_K)MF!Ogf8owEhGh2sAiZOJcr#eD=!N7oIYD>cD9dCF&o_9RzI5kBUqW^F+|C*D
zi0ztx!d@fbt?B7Zyv~gW(iXRH*Ugf>ul9u;d1DACE?c-BW#_^{zCe;AY@XECT@Wjj
zHU!BN$#VrI9B5s=_Bh{VkxVfYJ9{+N06YY`V*2i|V~%Dem#Eh=x!%F6Fm6g8l+Qm~
zjegCB4X<6|-IG_zE4DerIxl^&5^)>f$Hs<r&*~$6eyx$eC!X|AcIZKyxpbA^IaZ8&
z!(UgY$%u+Ms{_=Xdcf`K)ViX=iga<NvidM4G~eAX-SkNpLil+{v*%eb;`-mm8C}fi
zW>HnqX0Hp^ou-*xCs@$KC*a7f9jv%F;3dn}4js5s@uS_7ixpo9j<jCsWW(hBC2SU+
zI?#B2e}UIO@6=cmt2e_qaOkLJVDle3G%GkuxIAOUGRG}lR0A&D(#9Mp9{bN1hM#@X
z=xnGu{=1%6fCnq-uH{xTbTBvw#kF7A@OAn?j0*QUtdC8tji{hOLF6X;kt}w+acP6|
z9$|j;+c2ubaexL_^ttl3T;sr7iQB)P)fd1wS6>}g<Dx;`W&ZJ~+ni{9tkS2^PY{Es
z=26D4sZi1;vUuVX7hW4a8z@>XgdAquk396J!fn2_;Y~_B_>;f*hk=3!e*5rk_fHBH
ze7CRVd1mqAHVNK`JlX5fo?h@>utytwBrK!6ZTN8i{P+i7s|~nArZFozSR1Mm#DjU`
z`LQ)MIcGhCI6m88<d-9*4Z9g?Y|SnSV9|dT)F<C0uwkE5?zS#1@ViFo-h5jS#~jw#
z#&k*Hi7f6j(Ro^s?Hb)^QY(bnh7M;7mSk{HtV;0t4K3K?zDZq@R|HS{Y_IqsEr(L{
zjYN2c7DW1md-eFPM-G*JUF|#NaX{~k%1nh8s9u_qwExG8Q+Ho_y-iiX15{3f6O7t$
z*y{#$U6>gD(z-2pcUTdxH=iiTKB5gx_Kn7#6ba0-+CNjfO&NKdT(~bTX~XApUu-CI
zl4$h!xJ$)r6$~lrXprAag+u=14#nT3(Q+3Ny`Zgz{Ha@(Q(CDY{;Z>YyT2@Y6{dOA
zJ)z*H)b|TT2Wi0BNDKOSS`PdC4TLr1G%&H?TjEJ!Iw%_0`p6{6<Bi$np}W^K@lVFt
z=FomR6gLgcGvq1YmzG9ZiD4}~IQe<{TcZvTQ6BAw8x^tlU7ie&5ETR6&xNgh)rGyf
zloywOE1|54LhZNPR7?`t!(+s%4_SoR;Co&b4A{BvM+!F$gE>zKrENC=<IrFJ&*W9{
zTd9RqnllYGM+oVRd_!nBO?pVEs^RrY&#Pf)X}HF8dWcKe7`A?I=yVjNVBdjEvn#<g
zblA3ewdaWm*iropY=$X#<WYyYrx6WDcUR2srkg>}$LPmHH`H;oJTV~PBNeY~mN>qx
z*c|E_u2Pf4G_brn<n-l#a2!jkKKoS&V09Cpc!;kCDySd4?~|^DwAB1@H4@;%jK>kF
zOB(q2{^zu?Bn`}4DbTiavVa;#uJqDl8psfQ<`jcD1@~U&(RtTl0YA&yuLW$-K#tfa
zrp1LSh=arFvSyahvl{9ecSRkq-9MS|i9-pQwsq6JFId7}L%~Bk8z`7N-OjGQOCAMl
z7RuOOSVF$kF^z$5|Gd1h;1P$D3`+g-KRi}p34c7Y3_ISdqOG#c`UWd;G;ut6Li?p9
zWCfjRt&CT}_N%GZw5uYROU`LGU$KN01HPV0BW1LldGAiyB7n`D&o%e&vIM(_M{cro
zD55^sVTM1P+-N<Zy>^e=5?U|*-t6J4fcwL}zI4R1;8w2B#?~bkFmRO`^mkPb*X4=Z
zlvDnaL846&`Ty?FcXsm;t<-;>@;|J)U1ye@(Bb*hH3e`<hcz?wm^4c7b>74;G)CU*
z9Nlga2e8wQ2Rr}yb*x@Mk67v>Bd+g#(klaSXVB#bqpcV^ZP%O@JKRkE_UtS_ag>0;
zZq;AuGwX53**@`CSVDe}3K;CaVGhz1p5FU4!gwX|V#>}(nMCbD2ae1SX28qSQ}p<Q
zAnI3Ly`XITnrP4Z5L2>b3TJ(k?+Q)vqndBCIaH8@!ZOo*gN`Z4EUh*?O<sr0N;y}@
zo>UOo9v{k$Pnf{Fua*C8zrl?f#tNB^KZ=MU2a6#25@XnOf?Y6hlmlg3HcnaeWe^*l
zoJl;tW&|HfRlHtZWy5dlD^d*7v&n7a_a0jAFoJD&`g0vZS<s{~Y`d=yNuDDG7frJa
zp>Hwnna(37ys`7$Hh<Q7QfTY(EgP2&Amj(jbxT1;{J}Z@cH6~P^1LU-TGPb<thNNH
zuK2H!wlRA?+^YXdw&%X_sd=LhKAh1Z+VZQUO<aY&g>)ZTcY!P(lGg{va_JC0y=Bs4
z*VLq<&rh<s@mu<lYkD9_Q@7E}TqK#k-c8P~7$nt#M;(;^>Voo@x;-<_3*<@pCjx<T
zBjm65v8#Urb>Tv&x1P7#Jn5g7TmvcN<OiFniygx{VEkgn-}~MiY4h`$a>bQN^7H4+
z3uy;+AZ8$PDMNmaTsYj8{l|5RlzyegLHR`o<8_HqCwpee7(*&op}`C}&UWYA*~4@g
zazB4TtZ|lnbjAJH3FSF*CTyZK`Zo;{ns(UxOw5uk^z&sr>I>wnbAK9XVKk6CWMn*U
zK1XKcNw1JwmdMjjD!ijOXmF0;ndmE@BL!zerIjwOkd@ZW9lq&QDAf;G74?}XCG+*;
zG>86@!@_zuX0)j=Si3CBXtqEqhg**dyk@}ewOD;3SsO;HTQ}S_UnIj?mLi-)m~eYT
zmGDHp7HBjd<B2@BM5@|#SB}OrBkOSKPZ3@%coVRhcw4hfs+?)~%O=Z;QsJJ#1G_b0
zwd|_X>dsY?y2@!R*3O1v_o5Qh9%(>jr;eW&?;2T{{&B7GIR_d}c@{;ksl$x30P~Ir
z1|(L3miS(B;iLRad*%b`kWwvh$Tx`*?b@FWarg0H^{&OoS@jfn#b(v_vyusG10{m!
z|NdeDrTD`u1O;Y#KR31tu;6s5gskK!KOQg3Wo><{20Gknv$vvIG40IHH<uj+@n%Vs
zfY25-`1MMe+9Ae{R*6@?EOiUviAmdpuJ5XFc{B4CzYY%MI2YhAdr<^;onG&EE=Cm=
zkF4DbC%LfAOY*-mCsFjs8KFKfR0YEy;j<p?JUCi)sq2cp7-sA&?N|G&0;Y-6G1-!Q
zxcj}C{^no_)Z3mU<=UYFlAY6A&NuMmD~cXdaJ3Z16ozW{eNX|O_d{GNDuO7|yVp-q
zK^BXS>lF5UR)LX=ZKu`m31Qh&v0(_8L+(fWEazucV9;!l+s{Y@<6i7aNtlqwD_48#
z_M53fl~)bt<A2=nKARxG6Q+nK4@ar~_f!?WxD-w9ZQX!Fl0vUmq?A!{zunOpD>Yc0
z58-|OMI3n~=LJhURWRwJU|{?@3gq1uT+sQ~t2Il_54z;2VU*`BFMR=Z&}`4FtFe{A
zTQ4-IVHecVNamsW4+jl+!&t2&_gxk>YG2ee9n(Y}qW<B%E=`E|@%7?ORe21!e0*Kc
zE^R!kUAcdAzBcSTeC#4dDPUxh;ttzeRP<jC$~`qo1zCea>+1uGxbAk5n`}4@uRfk|
z7E!0eiS@TW{IF9-`cp~noUL?}m3-%ynWh6?fupLr6)L!Ezb%*RG96F*b={7l>VZx%
zZ~J4Ve?Fbx=}{T2gZ>M=JU{>S+y4Oo0RR6Cmv=nXUl_;jP4<?}<zAQT-fX^)S)wu`
zL_^9dDVb4LWMm~3GLy>sQDnsTo0Vi#ic}OuM&`BW&%ft&Ug!0k^E%J-dA}oKa`<+`
zm9fbW)mLZ-$=GhXzrXUJ7RZ;EZ@p;4V_NR)!X@)$tX8-DRoXWlFpgn)b!?J=b&Rq;
zY=1+>a6h6~c&7E>-mC&?<d+II65?1)YevR;=6GFlHVuHqMJT^GpNL&|to!&SL><Ga
zf7lEN12E7Od^RktioFc%E%tFGVaam3ijLlf&{_JV?Y^Tbc0-KLmY+cld!W|1@X){r
zw3aWVL>a4M%U|@vehd(>mVJ`(adSqH;5U;OKSadld9Ceak1Jt_U*Yr1LB^0bu9G3E
zM8t;2{JN<5@>pwWT9s(OG1xtdm=nUQVAK6C&Yt`$jR8}Ojv$K(9CmD&^Pk3J8J+Fh
zg~{TWze-|K1h)wwEmWD9Ys%P!bXvP#vj8?uIQA%=Y7F@&8*;=y;jsS(DUU`K_hBdg
zh}kUG7(-cQBFA%XMQr5*hd<7c0h^aIlb<<b4Bb`)I!`@$tSKS%8hlws`*xC*hgXfD
z>Dnd#7iVO#Jmc#1iv5EqZG~J?VT2K!&=CxekCn!}+UAQC3<i;Os-M?UdLv+E99Jy3
zDv7-feC1d~nMaEFqjB5ehT!R7*Lz`I4BIwB=Pesn5mN6J$-!-aPL9Rvu4TfQ&WZod
z(Ccp_`aGt?_)q|uvi{)kdjgnLPRl{zI2!2pXv?76L_n3qM_sGt#e9T%|FyK!!mYs_
zy=+DV-2OF0HgR)f&&DPaD?{m^v_ykeS;PR&<GGFxTCigVZ#FqB-qS(+!@DFd4SmSA
zCW)M$V8V2N9Mh8Rp@XJ^Z;txTdQfs<hh(@&husJjm7`?S0Utg8HTMKvn2<Iua%kT{
z8D{f2Ef3LwoQ#czV2chESl7zkcV9zelaEIvkI;hlK>^EVIvq%BC^L4iT|}A8oNQ>W
z(E>Fq#e2kD8+^oUAO5hKMl%Jzx$m;j!pZpop1J#4@UMHQG5hE!s`IyTx}}%~jtt3o
zU-_pAnu{my3Z{QX@d`a>+w5qdzO(GnrkN(p%BX)5k*!06ed$?+g=k>7>c%-@u?Boj
zG=68YRfklU@ofbT?IMZODY>sWG#~?(SV<cnks1*NTdZ*x=_1CsTL&J1?FPoLNhg0G
zw8j^cDW7%`lj0kF*f<63tv^pGPL3iqcY56KanS&CTxQ2-Ckk*!_I+D0`HM($(&}ni
z(E!K&ogueAGAwnAqGEQ_2q#D7<<@c<NEep#v9cn=+~E1dE&Lpkm3&QmUYQmIFv+2?
zkLtj2HatxG(gJc!aDe`L8!cF4%tGJn)#3Uh8(|hLDl*0SjbLz-4rZmFnmPO;!4=!r
ztOeUk2+Nh`C>=+77}5=DS-3<3y%|p0w$>FywY*=c@Hhjc=~Wzfva1Fkd8flW@2(+k
zKM&ZAUu6VSuARB-_tfB4>XK8V?*_75mh1SknhA`0Qg4Q<szC{#sEyCrEo2|N6T&FT
z0tLQp6KPqhV8obR6YIT$T-Pt>m#AcgSmE-{sb54;X>k2_>@W?G&keFB`>=y~X1<q`
zDiJc`Jw@cN&_c{o)gi=*6TDpG5Q|t9C|qi|%U4DR{py!aoD19sJ6&x`Mw0~KZS>?{
zr(pndhl~^0A8z<CB{1~cjsRg{k&JIIGr}51A3;&(1$}QB?u~9dL`lSD#BMRc+a-L1
zND?0ijB&*T+u%X+YjgP7=PbY=oILx0R{$0c^)ST!Q3hTPOXbW^Hn3_TADyoggsrYa
zW^uQap{gI>a4&!ZEDn79;vORmQDoAjgr+jYuH)~0&f)?C(NBjBLqtL6REfRjrV>2$
z%Bx=q<OWgk*|389;!xK#5+w0i3G72ko*6dqfIoG?Jm}YcFr>U&3u#q?>i0b}nIe49
zJ?LSIE0KbZm$H!_y-MI_q?FW_&JUmO-ihVkmIlpVj7Z>`5*%d~JL5qV1Pfm2D&Y&V
z@X27=y3SY`<}Zf_uKyJRQ-NRAO=EH}yVw%fUabs~?$W0Vn?)ctJ~XN?L;)&$YzOOY
z@sK;^!Xk@`ff>5Xs49ztu{x4DUX}p+MRY?R4M~9Pm`{b@cO`i3C#u4!tO6e=r_5`(
zq~I(3IrlaP4?HXK;qg91I1?n~e#Jl<w!BEWaTip;@}9_}#uZh#a3jD!DpUrTm2M_;
zDyu@!pGpnIKWcCw!I{3OT^2THd`w7})!=w{GxrLW1g3a5yBraDaOPjA64xaGM^jps
z6@d)LXC_7EuPDIQKyvNYJPDeDr|cu|P@wvcNka2mMPM5E%EEbD9hzI?OOymP;6lYt
zd5549^gLJ?n_5u^WFRh~rCAfKaxI^ovR4L|AS_shLWU;gyM_nvXoF&D>GzT_Jp8D3
za+ud3L+Ny^>*PgU_^;WS3l~Lz((0j9!kRjC$9_a5?e$?4i5TW}Q31mD<FjUd>Ts`4
zEp1x|0slMIVO(@XSgKKQBNmgO|7F;*javXoG__2hJc%%Y>%F?1p$1PaqdG#I4WTTC
zu>A855ylU+(sHE}VZK*S*i*y^1Sj&h6upR0$3?pJ=sq4=dlk4()EEKVe_kI$wpBn;
z)pGHP9S)B7I+*7Yjll<sN*l~oAa!$?yJc1moI4Y1dTts6%fQi|Hd_Kno_Wc#6D18%
zeWR_d&y2z4-@`ywSv>TNNUGJki^EqYRngdTV~|g|sWFc!K^nU{_D@w19Qmgr`csYJ
z=9T0uDJ>k>GWr&8#c+e-q=RIRgE43-&kQu&RRGID<<IkM%y6sLF2j+<7#MhQNu|Sb
zz@jxMYyN!;VfxlI692?#ugd32Lb9^3uvF1z@$DZ{%-s3un3fT^Wj4H}dP)Q4=-w}N
ztPN@0Ft(RyHiWg2&FIJel0f&l?@w6nH#AbEG&tv=Aqcg4a>Z(jgUGJJ8hh?E+9<gs
z``>$jsqk|>n2ZP{aoXctM5(Aw%B3V<tG#@*jrQu)7X<y1yOrr*R?ryY_3;<w2<!@!
z>AXzj1KT?V_oWZ7qlW`5Ra%-2;FNQ)coYv0$Vhm+H>%%252fmVAPnn+TUhAA{)e34
z%72{s(3wq?Q6-=^h*lpKg>A2+!K_f5Zjoc)vx!D6Z|$}d^nen7C2R>}gf|x@2M=&<
zqJ<r?V${>Ru$oMnaqy&reQj^3L#`X>=hPEJ6`499T{Y?;KDdLpKuMO}?R8Yfraw6I
zhc?`?{WPu@yN;;&h%GVSTSMQkFw7s6*M@6G7qc>YmJkr0V!NHWik7@ED>`yb3n;^{
zmecd*5q{0~+oztapw|e7cg)^t!jtHtrk<fmq+~dwtEG7vC9#kE`68<cifpm@F(-Z_
zp~Y|HO;(rC7i)?~o<?avD8KF{Gu(HiuL#d|)O-o8clH|gn>YX^G)Opp<pUyg*70`9
zYbt7|8J)jseE@dM6OVY8qKH4&sPBX=6~)Zc_g;?zm?6zo@tbGSz6-NIin*!il#gtn
zg*pXjZYUNvdNra`p@|h!)J60~`{Jplr(~FEQ{=U2dXH8nybUwoSwu6?dyXoyWQb!w
z({=enA6lR;Q!T4TMU{e87X$Luf$MqqQkKOankCiK*%n7dV@FsT!(`Qg?g?M0r1vmN
zRSjpo&Ax<^UON0#d`5z)dPmONg(K)2@H+RmdI`Ol*YoO>ItdOxV?R^3@f*!Z$-Vh7
zZW*-`X(-}C)u14H`;@WiIBK_VgX>Z33d(x-$v=f-d%0<!UmKe^fd-UNEe}?%qP_JB
z=gDoV@N?#8?~%bN)Ij|A#bYe%=*ipy)!IcO*xgj(7$eW1Oj99uzb0*<!^8R?x)g{I
zz;vO?^zj^O)j2gBa&QaXYKnaCaaINT&4XoyMHbM5HEd%R2X@dV*Pt^A1q4`|Vrnb8
zx`?I*{SBe2&|vt7ZE1Q_d-LmM=)JsAD!TlRv9$g)Ehcc&FgQsI4=LxKKl^ua8I?ON
za_nRk9k!b)^F8N|GBme{X2c7uqJH}W5~6Vo*yDF4xQCNUQ0Dwh@A0oSREq78ly(~<
z_WA?vXRW0Y#8hsnJp8nQ4n;ag_9ZZ5I`>VyEnnflNcUVW+x!;VY`a*(8qSK{IeIX!
zRtX2nlMg1x^><N=oobu;B6jRb%B|th$BH0*{jg5`FB<HOxU$eTEf-cmE5odXQv{Am
zlQ|Wj!|p{P2~n2Zm~`ptsq$(C*tX1!b-?Jc@2^^J%hd8<+rA~YJ{(binu|xyhPg3f
zHJ3-(9-HxD^BSLuTNdP@r|#^cm>M&7Ys)!jZG#`%WohM|E|7<E7s-F~3apsTn_(NZ
zuY%ZPju=a-t2|6gzt>#0WXH~5ZOXqiB8=T2{CGP|mWPn9hqfJ`aAKSBsT!X|#IVN(
zueJDv<$+z{uQevdjm0qdm7R;0!1x?oy?uD)VZW>JtAI!ztUN7qX^}??yZ7sd`4I(q
z;EgzW{UIwKc1qAn;CPrcHo^GWqxgh8bR6*^dA;Dr{u4XgE5#^_MK0KHh?dAhpp)Go
zXQUwJ6*@7J{Y(x^S!#3Gl2-u!z&Ce%1BJ1OGq1xey%aDW*XzEgdlbOe_}s4KJyEQX
z<u6NxDGu{}5F#dAq6m#RxdqW5;#lmKc;K{_GB!s0iK(;&2N^L`rgTe5j3$P*$_F7}
zL8k|qRi%`n#9hy!Z&3>4)iqnYVMD|=9dP`#@9<#a61088Mg}u}an0vEMGYG?mufxN
zt^xutVth1PWU;kMm*rg@5+)$|`p)b=HQ-XyBeWUHV?qrt{^=i3$9(x?N-FmF^FnCL
z@cnlR7=D2z@u3JA6Ihst7uivV*wBmW8OL#$mt5$P)gNSRSay5-3r2xx+HVuv-;^+i
zcA(JvQLxmMv522ldvghqlR0CH$LOSQaSZiPFvcf=I{n>RkR5EG{<eyMMGdsQ7yCoO
z?rs)cxWTLo&tjC6d1q9x&Rd>+l20jEq=P%_eQSLXh)p_nXPJoIVap??^HDI(-t{&0
zOa$Z?wY=I;RV>xi;=vzTGIp!Gb<lAfpv-8|-B?Nu(|^jW;PiupB?%b&zL+!w-75Fn
z{+eo-(aSpiBr`SaZO3qSPnQvh1T4LJBBO?V2slik{w82)?9b0pV~k-zdnRM^jVji$
zvr<JK!(n(mMlO0@6Htzk7Y_eR#LnuTT&!-C!~UH&OcC}rfp?nP{sFI5Fhag%#;Hsx
zOj;;4zC6tYZY)+kpF2#zn%(;fi3dfn-VAP&Ly0EvTYfD*Dpwi1+gjn#O69>U#||0P
zxtM@V46n9U2M*)^J(IcE%Y^;R?o!p^GJ&QniEXbw1#EXggXiPY3flQi=5Sb%F<d?4
z{%)v84!h00Bk<I*7meZ9>zhzE1{Kmh<K1={Y`77nHmm<d(rW4yIE#$nX~lf^wRS0N
z>3fj7_wXuWw9OLdxW_Zjw#+N7B@$SE5K9;?p9b0mbBdV~4WV|C*6#hP2o^}VH0US9
z05*5h?<>+6g4A4yn@5Ns)>C)Y?r|&=WE{t$KL!GrrZPQ#tj&k%CU@@(kz)bkS-me0
zClKJVDd;QK;>P?}g<3|$SmCJ9ZDP_t18`FP;v6y0hN)$Av(aR*LgI$+*4Cyz#B^UD
z@0w-AinP^lZoXuN$XezXJ%ak+nLNAW<W7qTRW24H_gEpQ(^Nf0PY-^|`xsU{*+9?q
z?JJ=_$_g*zUfj#x<3rwMqZjISRCM(+!~XdN7LaV%e@f?x4hYtjwdAKvqFaW<`|p!k
zK!XE&Qa+&#WjJ&3L)G6=pQP&^Qe+kgKHocih^!4=35Q>X2{fRIxy7}8f0#kJ{C%wF
zEiG8FH&1X_c#8yQJI_2XVFs<-U)j;an$Tk(^7DGv4+I%V{Lqxh3>LMu)iMT}5TL4X
zMPhpl(PDUIHI%>%rFKNFUxgY_vA(9mG4c;-JsNxE``$Uc?;`Nt`!rxwYWFtng9XGa
zV#sW8mKi>WX;7lV55Rq$hPkQ8CFBop%-3Lh7C8NQ|FM-73cTSvS}SF+ik#OtSi${=
z1-6A#D0x>YU|~OtMtxaFZsG|!?GIStdqXIzCzT92;n_#nj&C8^-*Aer{Mle7xi{G)
zm<;$ITBQD#9b`lFWD#>HJCG&W|06MwVXIo(PT@WcP_@#@>!lnJ`iSVPldcYwvX+}d
zJ+wgQB+9?S$_2G)8l8Sh>hSSFy5ArhJ<O(t5wp_w0k7d9hTRqtpy?BAN30n@upyV>
zbTK#V>=)~1btA!zPIgtfB1W*=Sg+T7!~;2FEMI$BNq}XQQm0v&;b0cw`gSQVd>*16
z&#qR3%X!>U0#Pim^xp8q!T=x8W<C7y-dzp0`(EX4^RWR}0P@CLQUJ~fWPA2VsX;?W
zYVab;4jYsGXZxcCq36iys^iV7Kse?Qry0))r|4tM3t5Fhxq$Zmw#^<VNKf%G2kiN6
z@}qxHAp-tM)NRgXB4pvd_#SHEhK~0k8f<}LknDq!b)OS~#`=DD$WI>V;<)*p<SGFs
z-XAF8*NDI}j&e!z@PV5pI$L~25>EfE@RGA9g7#6a%_olhP;={w&DJNWJwFO>eq&7p
zoe_REk9q+(!5o>Ax+@KV0~x2x_k4qw&+%vyMF>(nRI|tivT*i_@i)doBDiKOI<vnM
zhGQz}`3y;N5R_6`|8SQG4zc)0;X$I{Ywb09YepXU&0KWXqEun!OIWa+u{iu&8%(+E
zqzLTUEJAouHQ=Pp<14`J2bFW#dku{PLL;xp?RYilb9Sp<=aYiC4{8U`A5{jcb<PY!
z0TSdquP0?mN`uFE<F7OC@o=f(#F*!65-hvg&Nm&90i^!gGb=+C0B(@{7@-bI=XCB_
z9hZgR#!=QA#YDKElCJXk0vRqj-Oh>$l7lxNDy;ITs^C_=tR;Ps0!+S<5j{EbVAC48
zyq%~9VRK4H{ZbD=BKz(H+N=Pxd82LvOe83~935u<MFWJZJwJ*5R0I?EdiKmSB)B+q
zpem1|1zc6#Azx;2aQ?^skhHrbaQ#>MwEnp^co3@O3?`JI)?j1g;X@Jxhvd@is_BAM
z#KYg@x61J1(x>0g_HuDEQQwvU)q`yCAqGa_L3$(8Hi&}+EHo0P-G>dJvW<LapCAEV
zOTCw7@>c^o%k^)_I|Ph+3KP*F0(jhOW98ZVPXQ<Vmp$(T`2UP!34KC<VTq9kIHx_1
z6gT}z(K3YRC0GA`%_4wS`027GZag%a7C8#-d6wbP`U2+@1Q?1cq%VlWfuYlco+il%
z68QfJl@H><j+yT3#c%TPBg>#uD9Q+SY<M{C$>ZTf`c=LzQCU!WGQW!L`RS~aMq(GD
z3|jsflJRGy;7y!+TK!%Qeyx~sEF&sGayv({LW~$#=!!%Pw;RDN>7S(6>xv*M8yV@A
zCkQOm;6{$8M$o|hvQGJ#0{k#dwXaa-1*5Kxyk0*eNH1*s>u4$um9=zUuRS^7mFD@t
zT@@o3y|$?C)h`R1B1prNL`HBNKI4Ann<22M(0&*>Cj$wK9WLKOcag)~Vj^{+hLBR6
z)^~A93a*MV`HD;|BjsCvn|6f^p)x7ql#iGsP#k0mhdlow^CJwJbL9YQHt$>-JjCJh
zZ$Y=93%`&;^S2pg#sD|0ZqfZ75CI>FVQX&RZbVw-{_l<o1o#HNXY=|9fmL{=U-Li~
zQfNoGpEGCx$3IS!YKQ^=E#z%#M+4f&BlR|u$pBJ1>Z+>6_#mEZe#(s4fvOLnViTJB
zAor@{aP<KmC_na}VQGCA+WkiBF5;sHR}0^sd%DI2Smt%N<27BV`{5Ebrsulw*VKKt
z`v*J3$tI|5NWVh^*uGpkKdl4jii_e;@Uw#IEbRlk&&}wAp4*|P)OBDHa2B(fOyK&(
zRP^J<OVmom>HF6k+EA(IoA=V20j%D>4V1U?M-6N)ua<t$g73#pctl6gfw*SbAe;9~
z1b=!hzeG_B@RJrhQUf$_MtZ@Wx2FwBIGw;(7^MmGmk-9h?%6@Kj|Ajhp8tUKAEWMf
z{j<k!t;@loPFn~+qBcpA9zY7r=!EOdHQ@9WiWBFd4WtYDlkL2R5X<1({Wo760Jq#W
z&%C5HWbV=W+T-6N$Zrv2xkTv$5F%1Xlu}qlY>id|PKk^mM5b%K4R<MUE$B><F7pav
zw;ON%;lu<ox<;EY$4Y@4L!xV5_+{kI<nhk({Ar|RL%x<hnhZ$+ou}p!mk@N^ZbEQ#
z7CG3aPFSNQ!yt!8M6bdU(!*ty_=K{6y!N-)$&FHnvZAi*AD5^|ed)CU)AdC}eBr3u
z0*gBEMSSw|qf!w$Ll2nS^KxO|V}(PhB(SJ4(EBa9gcLYsQ={uvkoj_opyPfLFxqk0
zt^_V2JE&=ue&ZUVjvcW)S*`}9l6=0>8%xNcq??rd;SI#t+Qsmvp&HEG9aq0nw2Y8>
z<!57MwvpL^ma}gwRl(ZS^Kw-13gSSI%aKUhMSc~wa}JCXf%UmeL`1+Ua_E{Qw;vxZ
z$dwk1Zpjc~d})8R*rPS%vL!Q}YcL&@(vIP6FQ~xhNy?X7v+KyHu$eZ^7CpSYPW??&
zNr0PTDt*^3ZXyOVc}vf77(sRb-=|AYfX`(QV<bejk+m_NqE$C$(9p5jZ{dQ6>=i3F
z%IXdh!XRMZY{LozK^gY(s4_78s%Kb@rh&g^{*M$dvV(Q{ZK+Gj%JBB7oqG6lTCl(V
zqA;<V6L=Rc#z*BS!LQ9nqBgU1u-ez~y;p=Av<(ld+!R-WaU2J{w_$)k3R&Mu{CU9o
z_azPOA{_XrFEu89V}!cbtIBKhyr5Fy7gVQ>1H|H=Ldb1qm>Am<zLLZb4lHH`2HzE-
zQe*8@?P*phIV~A5WhDrOUR^Z@6BL2}*Tp~2&#{9+oJzZit}tx3Sq$V@D8f6M#E-N0
zIf3-k*2Kk16w+>+xt`yz2>EQQ_DVF|(0XZ&w3;Rk8NHrIq?r`qT*av+H!B{vxX<Nw
zHlrl`vSJT-&!`9s^pU1zO}s#VxAM347b#$Ef8#nVr3l@RUCU{Y@WW(6ja0Ou45+n8
zq`93`gxr>X70Yb_c=(fxhPFc%IJ#cVFx2nWsi_fV{!s{~^HGKK9`f*xRAs_$goB|?
zl|j!=5wJ_dB=1No0(ZmNcF*;_^}>$Or;}n}ycpD@wSa@*OFwNZ#+5+9#!}l+bw5=5
z?$>JQQ-&J^B57tXA6`2qOZy+$o8t<dxAR&Eu&N(ucIzequ1-J39l0kBe?J_YJ6cDC
zOw5>RP@4z`j1<RGXJi07W$0mNx0h3&Umf?5RRdMV;pGZjInb*ouAet0fnSInCSp&5
zUXS_j)E0TDsE)~-mQx4XXxFas8g<|hO_MmKtq8FX{Ldy#sl!3nGwbSRd;L2~&mCEY
zgA*xJ#We|J*zA72VNRz3q+utYAYo<rdM(RKdYcS$4R;ORjcY<2m$TcvFCH=ipSj;4
zQ(!z?Ia}(VHt-atKKCpoz}rtTtPye)2z=r3>M*k&2woAW&qY<BWuKi2e+L;}?sK*q
zQ8Iu)KLs6JE)nkd#=XiDA;Z*r@00e@04#3okMv=W?>v%c@FME)1DTj|k=*ka@9BoZ
zhpO;G>PtU+mm2K&ztp_WXapM1l7GfMR)tZUn{l(jM5vR8n9WWj5PlM$f6zr0s%3`1
z6s;&jb%G1+oQE+y8{)g$*FpqU?^D?+WJPc~T2eFe%^0$-ANuddcNLJ3J0#NVAPaAr
zpJo|Int+0AxO4d4y)HOs?4uKvge~0{DTg&pK(v0t?iqpy_8@%b#XmyOXT(HkQZRuy
z0Z}7zz7ph|=;7!y<pC%XOcbRWLwlUH=*o~Hd=-9UqSwj<D;K)*eiaylu*;u@?{o@K
zW4h@1Mr|E=<ntH#sAmilxS3@UaXFZhl)9US{6c76Zho_VYXtALW99NFGB7(f?k#~E
zKqq~8Ea(pzL7%{|{%boaI9OJ9@<R7K%KpQZEuqB_{u@y^FvckX0xugqrw!IopJAr+
zG5UsJR`bbvJ8O@RUyY!gp}VL+*BoTk0x+j&w~n|70-tv~o$mrIwo=kBn5h9Ebm)6i
zqXQo->6?4$UZBU8Mc$1axq?7kZfTlUGB+rE3fb*2VZgo%9DCDx!vKz<dVT%$91yRF
z9|-@C0i$Go77)+ShfjC?B??b7!?1Pv=lr(}SSl}rp8YF5NU3EAKdC|w5=tk!t`#z1
ztnDeBa-+JC!}0G{Z1)ag#wed#=dibbv{sr$P!}?k?nRHVtRdpjgJiWedQ8?kq2#iS
z4$v1ky4~DbK#EYkt4hiAm}0)HcuR&h&~-lv`beBa=zZ=>@Z;#QM*ka0zN1>uH=M1)
zA@dUvy0g%~(@BT@NnWm7*yGRgb3!|ltM8Hj0RRC1{|uLTG}T`e#Z8&#dFJuV9?yGb
z@;%Q`L{Umaq*;lG43&~lilRx%5am}<NJ!B;QDj!iP>~@+$XF8M=ijsLx@+CL_Sv7k
zPqr_S`J>pds<q;MbD{}MRdf}NxL;@Pp1X9r!;THDLci?E95;skajReP%FRr_eHICg
zYHTRtr^w2?*%-zRK9xEJd||phyY3jM%!aaFG|TE2M$jlOUNF05fZ6vlEhEij^`1S9
zU6-_sAd<_pxiDme`C+^+;i*3xHY}e~prsqah8?-<Zqk1;+f^rRn~@Fw7I$pEC}9XP
z&Q8B$KTI(xECqp|4cW2dO(J`E3LVmFKknT%F~fXm|90|O9XmdWxsuu|MhD@nJud?0
zeldUKvF*1x!-4TTM4U@*(SX1B;w6dMIi^!Jk43D<8oc1fGyhYS2KJXF){(~NnIGOY
zuxGn*;(q;!nF~)1;NkI*!`&kb%(^eM{$Jr-c!l?d-xWIp7~ffRRcC66neU*yN1}=w
z(RsW<xSI<6+KG9$xL26erVz6pIxp6;ti7ZfK?S=U=UWzcSa4Tql6Y_{AF>TG6vt$!
z&@pXx>sJ*kete((#41eyy<({m+Nbp){dtdP)FK<c);`I%d{qeDHtwB${!tHt(kAP_
z*mEE=E%WP+USWJ@K(Z4z(gUS4&(p-7tU(LehhMuyM6pb5@Yhrp1*RxYmyPwfaF*k@
zwe2o3Y~~wytSv)<-fyjk_cn54wLnH$RFgO!5gS}rpP>s6nHuX`F7jgb0WETjrzEm@
zOy1?E>w>x1$Y@0%KlVE`$GP!K<9=VpfkPcSF#IjyZR`m_JjOaXy3i+s!}X_=vl4Yc
zT2uV6y@xQ$uq~YQ>XE~pnqm3n+jW5I9X+geNd%WG{zaIwE252|?FA`Q9jN)quoCJN
z#ej@N>t#)4TuifGK53u>GE>jV`Bvh{l3nWEypM$Jj-Pm?*6V<_$~U<9S^^)4<Q~+2
zu7c2TX!p63I?%zftyg%r6f#O!v>KJj==`T~rt6aq+@9n*u!|&vQk9(t3T~_69WnkR
z+1qvDu|vmYf<+Do9R3{_*VaIyVNS1|lL9r<FCNY;%i}S%nLz40O?+C@uKR9;0)O0h
z&_ooJ(Ej<6y}yIB(a*BzB|E!5)c;6weweR}zq!6Te<0~%UwJWHq)_3TiPP-EP7-ny
zoTv+FrJzH>p+@CJDvU9{ROJb)qVcJjjn_i-G3dGM>$q_PFj`43WZgnWOI<z<zi2A9
z(qAa~u+!mr*e`aGTWUC&d!eDn*Z|2t-Pdh})qUALSzywqj>X>#Ro1i_pfrtkqAc48
zP9EZaT1nPK>n9xx@f&F<SSH^qt7!u62^YIMytJ^Teb%u#orbEp7i?!6OkrWr;YC%n
zHmbG{J-_mjhVe=KF0S$BP&ib?Tujix6wPv*)Jz&)j4NdM<YEcyG~Bvw2kPPix;J09
zrD4<Y7yD}Dt>Dm|1Dzk#DX9C#KH|@R2B>C!y5&JP0XK#oT|4=Jf{Q}|&u-RJafHS1
z$=ND^tdQfIs(w<iqver;)oy)6u?1G!vkWLRb<ixCreJMQ;n;MoE^f7P49wK9hQFTm
zBMn6qB<)eHOzYOdQvTy!`yX3_P?!FKz8(cX9~-U_XR70gClw>Q!Zz@|_Ow!?pDvQC
ze$#CeRPpfXdo33?*#OVmULTo5I#{C|%DLA|87rjsZ6NvCz?>*oagnh$Ug5SVr)A2b
zFSTyn*4;Kxmus$4-l>USBLmbOXT-7pN$<rUYi%HXo23eUhXz(&ZB<LZD})-K{UW1T
zY=G-)qWq4xYS=E0jrnPuD1Gd3o<xB)d<$Hn@R7+V9cvsxRQ_ZBv<>S#zsVYO+4j8M
zd|CyA`#N`ewM{W~H&4{L4lv+k>*jf>Z^~HTqPw}-xr_OrYu;*05CisI7}xuKRS{YG
zTrPW^U=o$)2O9Dh0Xmc-b;A?nuvy)=-YL76NWSOC=sE{*>T^h5#zSe0vrg-lUiv{y
zcVy5X2?E6IKlNvDP6Ep<0xO+urigJGIi$&ufcD{VkH?{6c<yG~g$mypg2STFvVOA_
z>}+0)xS%0|I+yvz*sskJekSe-4xwwonPli{AR~zHE_%3B3;ZJbxqk1d&$NWz)I$6F
z>v@slz|p&Yah8a$(en&`Zvl_4Hmclh=R}vNc+=+SSweVjyg`T80vuknZIpV=j_Hnu
zY63VzWKZ)xu5d7iu#5XR$*ioH-ne2t+&oR(s8!+VxNHW};Ai$u`5&`jN}*f3YKl0$
zy=@2it0}~ldgg|-&NJ;xPD^HOnIz!S-vuW<Q@9l7p3lqio4LY}WZAC#lSuie{%|SQ
z1O(6T=)dx0npquG-9%a$CDh&JxCZ-;fs^<aOpgD_TwY?>zFiz44vpO@d}V74y`|lU
z69Yz=XBHQ!3QEHS_ul*fhdd)Fiwe21<KF-?mF`qA9WY3=CBNu%lr#b>>EEB}O1;d^
zBMtU>69YtDWL$qrtRW1(y*~cqY!_1|amsNdv!BRp{#QLUzsfbAoo!ok+n9?TzAxv`
z_7P{Szh1FCN{52LHP!QCP0Yfy*J;)_dx`3@@~xZ4Xz=P|*N;N-8)jZUjYGZc8^IA!
z5H4_t24|d8woIixXI|)w^{TwnL$ob_Fy6B2Gxu~J?^eHXpIQ0t_lqB2x`~H}Uy<2^
z4S<F1ua9MPIH9`h!iSAP-9+E^du?l0{i;P@Yo{;iA#qbz?o5+MH&ISXjbX%7A?}Q7
zGW}{P!S=6*QjyY4s0AMy&XA<S$<S-wuWFdYF`j=dD>6OApH#`8LR<7<B1ij&jousL
zv2(tr&O{H9&TW6a<)j{n(N;>_;T;i~`K{ibtCt9q{~@sLF$HR!vOdI98i~1c!D@Mx
zy~O$puP;Xq=)&%RBO-s<TZyq5J-dpuK7w2NH%(qi7rti;zE_!gPw+9fiU+R#XM3yf
zh}13}h`AP4%{kCUP-lBf^_m8VdJjg_#$0W1K5V>gdEgU~_rm%1fZ8CDF_%-2F|7p$
z>rDb>7CH!RgFv3Yc|%0&(xlZSLksR4D4Vm={Y;RIvQF*UJwkYikmS{FYC^D(=Q+pd
zuf&x3UC{?lql8ntc&g^K26SEEEz@K9MjY*rqzwj)6P~(Fx!;{NV8OYjn!U4^SeMws
z{Ms}@ylpU}uP;`IuFxwi%1-@+ipj<4(`8cx+3ia_Lrxu%92<6R?HwSFEIMtr(w!m7
zuLiZgi&uj~n@+jZrw$U*mj;S+-^~)O%@Y7nK(D{$?ek<9NmvY6h!`f?w7;#tf8{rE
zbwSPKPyiYF9;k`GJpY5p_?Ih`dHxTP*GmpQKcWgJ1cd{g>&FOf7mH6POa2m$lD}uy
z9#945&ai!9wiCoz;}x?q`6c2lU#?)*s0y_0zpH~$Q-n#M%hx?`mI-&dY-)3`3XD#5
z2I(wM6XEyic(;oM{7ZDX=2l3McYLDX>E0~y`iR1%gW+tjs1U)uC4~h265&7GLVpuy
zhA)>su;ze=Y=QTv+9X(acuT^M&_BepQPbFIOHNo<9w9MTs|=P&Lct1oe~AO6_hak)
zxnX={B$(u{3`YLk`!35a5pRxAYc$(=A?C}N=N2htm@KU6Ib6R?jH}!kN<AY0pS%t~
z%DkooovzjED|=bscwNvHAv0l+bRJbF@hd^BP))|Q7&f>%ze{YeQv~iErjA^=sR$px
zY2?>$=798D%Z=A_#9%%%z2mK!B2WYvS#{2wus8fhih8;PJbAG9(7`zcaM{&2?S7UU
zLej<Bo9d)s*3nw9`Mm->xA)$2XMz_XzhHYmMHcp7k(9Gpom)3?&k3dpfU@|Dz1SoV
z8VYyLQ5O}U>Xi?#rJXQ{=DK@kKUM<jk4>_hwktyTt`d*&ei7J4Ez)>)kOU-|dwyLL
ziV)WL-%Is}V$eLfzniS63gNwTx-E@L5R@S$JDny0YDVK}MyvX8UpQPMa#|TCBv>T1
zUP{4vnq{TtA9W~M=o_B5CxJ*tWXpDbS=b!hwqHV43;Od;i#0o`06R$nj$e@natZ{6
zc<Vrkg5JM9*Hl3)*=jt)UI{L^4XIpXQXoY5y4qE3HIVs2THY#4f~1*^<ONwOoESXv
z?3b(tJWT1HbbqJ<yrkRx_MQfycloLOo**qCUh;&3GZ_l6zf6-}&Fkr-l3WxsUC_6o
z8yx3W2cx+6y1VP?a8&TI^vDT)I2TjVf3-yeE@vG+m(XtrPmewo8_zU=YVpigk#sE>
z^0gHT|6l}Bku!aNs_4)zCjOiEfDV`l-W=e)U<_&0!iKl1#&EG)h)<hDf#y<UPMKfE
zp!+sDLFR=iD8KLE=%~<xp4vCB*w{=!ys_4LJj?>#CvrXR7N>$=Q`!BGImS?Gf2dO4
z!3uI%eABk&Q33mSqF%Ka!5I#|2G#@s-Eu35a2W&Wkl$5tG{z7@o`s%E>1Kdk{f39*
z+YP|(XJL55TN-SAdf0qf$Og8Jn(|V74WMpfgX4z(sBkA@0c^x<!I^{K)r4jM<-A(e
z_o7$*F6R8ik*~IJzD(O|xt<Dl%Wl6J^3{O&s)*0*`|My;^O;YS9u?L<PO4l-RRM;a
zcWiN<9jv^z>ihOa5B%9@dCgsA;daR4Ptr3xSbU{Yu%%lUIBt6K`LKvU`2C$eQ?Ygs
zo%nn?{kb+AQ*<ii@nMChZ&X*->(~MRt#a2{KTQx<(Kgwa+(~Sz&WUj>u!RoZsOKZ>
z>fkk_(iVJsn)!?+ycy+fL7S~p&gG^m<Vu93-Q328;-AC=NT+O|=REuSNE!*;?&t-E
zmh)g?((-~_r#0-~!AaD-R)8znN#Aq`A-v=t8yZTt1}ozSW6o|e0K%DBHMc}?a%`_H
z<thWnA?blJdJ-V`)+5ttS`?d;8P#w90=!+{^Qv&O2t3Vv)8tSmhS{F`eQq6GT|@dg
z^~^Xv*l}=Xstm+Y`Y5x<9SLwB8ZJuVS_8#Cd*glui6eP%@yQTcfpQG8w%9HcHx^{s
z+k;ngV2#75*oU={wWt->lsQWnP=6N-ZWG5?_aBz!GnSCp_NPxy_B+AmP1{+lE{?oF
z-E)Donv0Bc>0JlQh<{?zWA!s)c;dpNIOClbP+l`NZS}L08Bo0EYsYIbG%VEmcK)6@
z2)4J!hA~E&!KsIsu4!T@?NKs%XwD4I4#k{*wRx5~9D8<1CRz-Ke){K6Y&L^&Mb?BT
zgY!(k86Tt95n^bX@+EFlsVVsRPfdNC`Nuq`rnhk@P7GZNpC*i{n8NIrbPn0|tk_g!
zJ$c}f7zX??j@oe31P&x7{V3kYj-oFN5^fHPp$xS<NLb7S%9=#DH+rwZF0+C+K4#)L
z-8;B%<+?G%Cp(x~n{lB<v{UBpTyfm;FUx6G$ru#2eRZ{3=EhfEVdsP?5;$>V-Q{nE
zMo=qBK4kNZ7jGsW@GftXz|u!uDoyrAuof2vOMLlJBl+2t)bo<q7R1o$8a9MZ?<xO-
z{DLTdgmmWXPAOE`eTih4WC-%DDo_3^7s4AyPpUuKD2;WIt^OoSL&%9!e5z6=j7e4(
zc@*4baIiVu<Igl5*s`1#TyBbBn?9r7=9Dakb{Tsp71H6*T`h?nr$zCc?Ss8Cm2yZs
z(h?vUMu$WS+eWS+F^nVWkxob{;Jw1NkB_XUujctumFXj^@04&<m%F5h69OBv>q&I*
z%Ag3G4wFFT6OU?51e7uF>-X4UPCC?<)Eys8l0+x2%(>=XW&De<kn)EHG|T-Bq!KBN
zjC+}EfF!i$O;IZNMFabo{v*FerBP|jwd=$q733y53-woM5Gi97(n*!YaEV`D;Tfu!
zFum=Aq%<8`>hz`l#>wIHqW5Z-)5vJNqCz<ebdc%a-%0){kF^U$63_0aVFU~OaEPEo
zwvooUSGyJQu@C#UZQ1JBC6FwZS51dwdFOWL4=G`!Ri%*Q0}b@4{LUV)YzUD<4w5-9
zmGQECxJmsZO-!*mAMp5!A>@v>Z6jSEp%S>9^}4Tx6E($)rQ${)?w_dUx<dsO1l)J@
zrfB2y<3^Vz@{M5WcCpqDiYoH9=(k=yqJzi2Mpc`57(?*!*2tL^Rpf3rucGMdqF3`r
zj$hIykjE+S9@Ij{V4GP5?)SPlB$)elc+>=bep(oLm#T)YQ8AV~ohTUXRMx4|WC}%D
zm;6)Q)zLP2wmdbBf&yjrYbGnqAiFk_Rhdr%$5ZdVC@)#<k;fi9eOGD@x2IYvZscoV
z6y5FA>r@J|N|bu<E42Vl11~`lGflkl_GXD1Q1H01$C`#xOXxi78Tl?>6Mg=km9luG
zi$!t19Fb4g0%?dZ#g;=0o0NwyBy{LtEhFQ{gB&Z+j_senXsLx^oC8PL8?-T-%dIi#
z90BH(@4H-GwNP}A!SKojE#wxh=KP`oQ24R;kJ@@I%;!8UCn2wi50Cq$Xq*AKe0Kil
zSt%{Nlz!W-FhLz7r9*|*)&Z0cm);qFqltm7_ikV4C1bvzJr|Re0e`o5I}f{PqN#mS
z^@64<CXHw>%xW@VgTmv4;YtmxddlaqDUgH}tYnc|D+Ux9IVBhfY2bTapTG2zO89}p
z?n;HtDyM45yB^!CBhLZxutRI*QRkhA=ND53)E{2Y^DICO<6dEOp@9s-Sg68fB?jcp
zd&1{fGCuK}CO7YuL=xqaZv3hb$H`WORHmrnct;MkrAG`mGih_z-vJ2Tl8S7<rGnvi
z27*lPiD3U@MZRlE0BHpWcWuoip_Hv(afiPU{x_vuZohH$9^TtUEdMEEcy`;qFin0e
z%ncFr-~_m~{2^?|K_%2Q`FZ$f2oFX_Z1svfPJpw6{IP9U6)^AOj0~#-7y43y4<7$)
z1y^Q*C`oN{7;@*x=;K>!aKB}Rc$2vm_?d6Nouey@Imt_o+@2ix^t<?w?X9(-agOJ#
z!(C}Kd{Ni%`wTm>J?^sG_{S1Py-(=uqD$fO$wLdzSJ*J1+q{p*%@Q8cxX%iGm%t%w
zzU8frY<T~g&vWlpT@Al$2_Gn4<w~VYLGxEOj0)ZNaZ!48E}p11k}ZZloM&n_YqDc<
z{Nl=iD08SAncM%SP!!qg9mC;2b|h{I>G2Mm!RK4++&_F3!TIeix^!0#6!!ji%)r$Q
zatkZTM(QG{(owAOQ+*Bg-X?P7s!hRqlYzkaMPdBF^?k`fkrStalkP7Vo5H7#|1$ge
zg)#3#;CpprE{q;cubY2j0?`Gg(M!%k*fJ@Y<>1eaVK`@Csbd2B;~xfZc`k_XAz0L&
z$%E&GGp_&0Tg^@JLSkhug6NWS<!^u<A71+V-zjwiV+g-xa>_<Z5U1?LIP%K*@low8
zS?;9~wB!t_+VTqG8{MMiU|&HroTSM7axj7olGBo)DTo|`FF$&S38Tj)-_n6@L->A1
z^3}gUL0q%E`;_+@5p=FoOI8gtguQRy?vL#i#2(Izkjf>xs-w?6za<R87bYf25khF%
zH(@p}D~3ug-ov>s=&*Hia<D*N7$r#NA@Qr+KX-L0K55^o&(|7R#a<D{UHuj|-VqWw
zv+F~Hh!h>(pSbNLE-iv%Jq;^qHIl3TVU%{Sg$6_9Pm~kIBB*|&{N;8nX*{|!KCIy~
z4f@;@9Vd5-qUm%`ct*AiR{m{wR&b|5<G~Yuo~w&tOW>Nlo^&}>xEx_=r$vJ|+c`M&
zR>W|D?bAi4ukxt9R8QgHSncnuQ+j#h;^=Sf7eA4%h`c>k?zA5UAnbif>(ZnI-i@HX
zrdcYZ&PF#A>{`veLd&cw+)`+=vs${yh=h+-9{(t9HvrY6Ir;w?OXCSjktVB!3i1RC
z-!$nnfU#O`f5Q_psO7oU#?4U`4Ib5>j94&$Z}Bc)^FGNU-TK(bv3+C|xgn}vqe=tc
z1zK31ojitKv&g;~uZAc1zr!(a8XOGHi3zP&z+c@CuY3#CacdfTKvy0O>h>yK>)Ne^
z%*Kz>uevlarF?$(dI36gSKWz9j8jGv<ZfwZ(?W%M(N|M3bQold;yS#Cgd4Q)`+ZT<
z#z_HwkxpSlun0`a4_>E&VsnXK*RR#VGf9>+#m@{uICtLv-YQ2Z7DvNxTI*tmJF&YZ
z&<MO3j;-e<$#_&*IrNMk1=Vk|Bn~l*q1kLCL3^2ucCpT_;(sZ4cl}@=tF{SziQW5A
zqE8J&-`XW}r0F3aQ|0a!byK+ixhKfyr8=^&8>nC8)<-C_*OD+agQ*j2UM1%>P;kll
zrJR*MYHaD-5anzRD-o69k+z!1R}w@?py^}N&@Zp@V-^r`m%=^qLlb4YM3e>k^l(6@
zZ0Ay%B^(*>R`w3j!h$OG=$v(W`1(drZON;(5VdD)VfQyJ)V3<B;MzmMzEriAj~!N^
zBx#_mq@j(~^KtvQ%yf~j9V#@x5m0$1<4=^mHs;$}UQKV-#^X+D^~3uCQa`)61~Ifz
zj#X0cjjk5zUpc<^V>19_Brrx)L>m|Wt4>?+)<ETlpU1k%44~6r#J?%iLeH_6q)WkS
zc>g-rnB4&exZb_SYG9&;X3?%2^Fmc|PC>+#be#d)w$CvPQ#A48*xRd7$4OYgDP8FG
zgaNthk_(C(HE@SVn`bzO622nQo$`wrz<bTbZ10#lI-P%dy4zk3H~2GN`R6h~LUgTa
z{Hz)pqFcdmqZAGoN2o`fXTT_D`Et%E87HDRw}obiqxXSy#y?L6c#RcHtZP@ru<`1N
zs2UMWTDZgMpvr)?qz!AUUaDaF#G-V6iXifTD$#k=3y^VX>pJc%60)XAuDR*Vi}xOA
z=x@3KaHZp6cyzonni&~LG*xoq=Dr;@lyw00+Pt%W#uTv@XL8Q9v15ANmxFBI33y(~
zRb<n>s(-Z^@zfYr)I9svF5H*^TjRmh*<o2EWEN_4qE?tAIc(b%<E(%^npW8(B!k?a
zvpdVjmzWOTmxDfkTnjU9mC3kW3J?D73!kJfGIe;W4AjYML3{6hz8$Y6P{S(dUa0W`
zbLMdEm{RB}N932AuWuB`J3|AHJiGofBf3V<-+pHSBAsHN^Or<1cp!rPD#rp-o`a-J
zQ?h`-fbX>q%_2zmpH|n*Szx-N-96_BbJ(`2Hss-JVf4Hov~EMrBD3mEpPyBS8Gz!c
zgrj*v$gMcALY-S;PBk@Mq?(yQ+eiM;?V^HszWkKQ_~m70MMs&>`b<-ZI9hp`TEdTJ
zwogj0(pm7J=MlKYV+v2RNb+3Cd>E7)^8A=ND^~FBSTG7VfhGsJ*r9A*oceGoS9J#)
z=4`SgYmXVj1p5uz%rFnO=$p68C9~rtm;Bu5-NtZ4S6DfGCl5}SR`0yq!+{-ov3U+X
zt9^m3Wp<f`2luDGX?|qQiK<t(lT*BnAlW~_(WR9e>$OU!YAd<0NuX08aKI1_QdI{|
z*KuR%hK!^9n|bi=10w0Kzaa>k^J-6xa^q<aUgv-Rc(EXVdClfUIw*9ozTQgb!Kan8
z#b;{x(e~+g@|`3)+|rzMEWXQw5g86;E%}0&-Sb|ASAz})e*X>cHsZysPaciWJcLoN
zd8nZ64Gk_fZj9!g;KdUG3Bxe~BKU8(glFwR8u$!+H_m9_!=HB*RUK}KVzu_j$PE!1
zn4X_&^K9lv)99kO3m?QVFSsECUK@Z<!={5Za{?$w<=^~~EP)vjYgitI835V)Okb9r
z5Y{}}_UpxJpU7%!P1$B-08Zw=DrR>IqmAuP-&zrA^exyp_IZH{hrb{Bx`!fyE{!n)
zM+;<d+gDNDAMdEJYs(YY1`$#G+jL=x+fNS9$Go`ZkVOT?Vuo)&pBVZEv8xpk3drv=
zuht(;g@IJcl>_qPIKsc=Y+<<S>(`a*$^xkH!M`<5(pCbm{a)LCK1Uf_AE*aT9iYOI
z7c8&t#7N@KBC8yp3KG68b5j4fdVbCArw=cFk;2rjL=U3@6`VSGhtzbA3QbZ{Ki50S
z;Kq~oReI87^qc>&vM-Mc)pJ_<zgKzmJELV?f`=MnS5>y%cPhw4JTmtVm&du3<u7{o
z)lofB@r8zg0o>em!=j6(h`y8e?itQ&paVC9>-|*&sNXs!CC;XdnOtX<sy1n1j@zKk
zvH%VC3Z3K7`K^rBrt8zEa<p;RtE^0?yEM4n#8qcMO~SYv=iWV>)<IX_h&fqjIz(s}
z&d2;x!R@kIukKPQ*dF}BZI86!sy^Ksb}gx*Z}p(8o4X!1*Nd7Z{xgIsf4j=6HEQ@y
zJ?E*8k3OErE@CrZHiG=*ip~Lkb=)y%;p(P9MahyaVnQ+|U{A1RY!%SJUl6AJCy<Ie
z#pJJ^bu@)Vi^^gyHcfn7E4VD2O+^RyKg82yGdSgw<?KJGiOt2g8~=Mk#i?dr(Tzjq
z&?{;hbgM`UM|WMayqQeJZ^4ITZ&_PH$##LTgk9R$mACD`HTG2e9{>RV{}h*pKh^&m
zhV6Omy|=^Ra2$J{=h(_9g$8A$j6y_4A{DZtL`Ftd-$*6N{=6y5Dp4{@R%EuURQ&w@
zh39qO*Y(^YCupDEDKG}jN_%_%B?8hC^UW(LR!5#jC+~;-Fo8!u-5S0*s35;X39U7U
z)zJ6c@t`?jfG-6nJgVbW(9=qeknmPj#Hx95*{Bj=Q#Jy^QdN+aS++&cC;|O9Hu*MH
zg$mc3_lahDsvx#v*ZT1$B~<RE)_Wq03U}=dtF{?ckaa-S`*$IVi0(7*dCPe!IFoPU
zydntb$T?-^MSgk27Op)pB5MjEmF&x$NE!Jl6jY5qmO;hEwy%Ghnt}w0-LPp~3902+
z{cxz4M4Z&4<<Wagq4`Vegz*?2t)#fuaaoEYwztf*j)tai&tZFyYO^BRyV~Aoq9BN5
z+aEt(6*7g$=I4hZ5*5(mO9@wpQ@kj4vhVDHX)4qWJc|>yl1B~6>!GbgPIOWDcGl%0
zD#SVz3_jSFMFw0y8tw+MpqOyK*GZ04uobI2;qX)j<?@Q{&AdgA?3jMP)cy;wy8l1?
zksxUlekjEwKw$?X$nSgnuMl9mOYljJk0g3s*IP33XcKd{(>4A>0eEMUn(>!a9I07N
z2{2at!rIt7dAgb?z%he&+0!k83frds$u)n&8cyS471m8)-piEc<pUu^BXitE*ku6|
zmB#2qG)%x~r`J;dnE;Y6`SJqSH;d_-$Z{$K7{mD{-&D=7d?;4nmlFHH3>LJk8FskZ
z2*i{9*(|BNDC$h7WUb5$_MnTN{>)E9_@HuoUcH?gRYVx&bH&bJ<WGgXg9e7c6?6KS
z=sQlNxF#ad(C`H#G=<gmB^ZD~CW((G5Qmm@o`~d?%wdXmSj;bs=tI~6v627wv!Ttw
z!eKAb1<WW9mCUN^L$D)vk!d&!N_>PHc}u&DUHf-ofH7GQVsI>%8poNCRDfyMhRk=&
z^57Gp?gd>a`n+cIJ(dv(McqV-Uw>fCr?<{XIp~7Z;Ck4=5eD?V$}jA0-!DwWNh<C8
zGac|9PJa^aLyy`=gnCO~uVL+PEdD4d=s=Q~6^(8=9eQ^>ct~-60}F`vb*;<N2Cv!h
z<VtQjB#^>TkT1T4MIRkMb`7Tux5NT;UX{`!JEz8bjlO>|H(CjYtavS8+ZibxK2D41
zkD7lnAK1o*0}`*jXV8Kp*wF2(6k6mvI>s1MMT5l4`^U@@G-3OXDRqcSixSvd3KMAP
zkiEmFuTvbFkQA2BNb;sdit3VU0jKEE!WH-YhTCN5*}O(|x<`x7hUIQto@PKa*v7MW
zcryH0zqr?njSjtEcx-d>JQMOQZ@FaEqyeTp`W*d9bjX&FQMszXf^v2Q^HdLLz`t@K
z&r{0u=;8Q{Pu4$K5#P1|Q^hwDTwsttW<5)fel=Qz)qZA2!$E_`r_)I=_OdX2s*M2|
zJzJ7({lS6ofhU|rbV=~)X{N=mW=3?8eeM{SAUE>7HPJ5Gp$?#z(-=3*geLU<b{(_f
zK`UOa*A(#TK<gx{GAY1<CLiBOeV@sT)H_*UirrEJ!{*$Ck}y_uX3Q%uWs48(?dcp|
z=2C;DG286IzicQ^WOb+Ff&k(Wyw}!nn+P778tQZZ;ZW6d!K}T65K4BtzWJ6!gb8^O
z&h}VN)bze7s%Tso&CSp)zZg-4gnEy!15|FbK->AEv|SXnzT_o(-%<s;e}m<>j_@FL
zcTHEl9&seWiQ9hbtqP3wwm_4@i>P6X13!LCBJVr1g0Xh0U};LE_5Z+!<TIo1?Nmr3
zQsc!fs)H&d@lKqUGZ8=sX6+*W&B`G4&$2{^09AOV=1}6=CWu~Gr4dK<<<N%&O=X*E
zRWMnKjurD1MrD=8+#7}RXk@D^-iVI~pQZ}_laLWb#e1l{%)*Mus+nk-UrdAw>zTI3
zZ821iz-OWmk8a<&8KiYg4U}%N%VS#-NVA~J(OOFxg$R{!^4O~bX*>3d6q__UO9$T@
z`w6H+eLj|8NCMJ%+?yxzGU(7=rvh@ID*B?RmAJi3f`=naw+r{mBJYssyQ|D<sIAZM
zct@KCIQk3})L)Q8z1cr5`e&%4BvCxWo_aED-dp(2{8SzdT;h}Eh$W$AmM3@e1~fs~
z;REH-cLkIg7w3IcP6Jt<9K<(qYXeP=%)T)K9&xv<@f%lapyPeYiPW<?AdzFwUhAfW
zu8M5E8Ra6Q(_yHb>4z?`y#K=(5~qyz>Jx4qu^}Ve#ph8&N&0}N*&tlbAfWi952w!W
zBO{Ui{(f^^Lzq&!JkuVhf)Z@R#B`;|yPU2e*DM)<{YJ6Dw4EvnJHL9V>ahm8d9(B4
zjY1R9GOk~oTu?>JtO9@TGijiQU1x=3WB?4PR<v1;L=?Y%$ajx431LEmksUJteN_)8
zAclx8q)yZ7vZx`^F^>(En^XYBxQ{$%h-fWZe`hgN1=)5OI|$%S!7A>R>orj#qLpP%
ztS?eRsf*rAy7{JHK1GKr6IBs==+asC5(OlI6F;@}%@ml|M;5jkRgmZJMt{HCvPi9N
z*d|}b3@C);GM#4x#HJWpO4N};v-Jt>3S={=YKstGzM_m`t|hy1UlBovg$HiS%bUTU
zgvy>pRV5@jl9xhD;YYRaxY#ZKn8I0mMXS<!MFcC!WxljrD5PlW{$!IWRAns$WNRp(
z0<W4-+#@DL>U0T9^fQIc747Tqi{#Mwg(su(N;}w<?1PEr?51!@!{0ccQx^F+I3P)f
zUs#8E94DoO3f)XiJN$9d$aIjo{<!BfCim;w_;W2Pw2e#YpQMvSbx+b<!rmcl#?#cB
z@i_oFjpwn8j2N2AWe(bx+(%hbtWwwB2VnGVX_C=L7|q1RhbnY`rr2k%oS5JBoyaN0
zS(`Bdbi9r^SNhEt3Vpq$;rme&aO7zV<GaX*>~D*#)Mm|7(l^eO*KQlb=4UG1)BQZ?
zn9tyo1LcbpN>wa#sFE?P(W(o(S8*aq#ml&gqf3<Rr(b+;95R9jnpRO;{Orj7jmsNR
z<|WF#bk9+}>xRHMQvEh}gc;#e1e)!a7AP`guij(525|Rqip7;R2IQRZ(S+S>o?>w0
zpvVZ90X%3l)iU(j^~iRSP?X*rWvD?t(f6=EjQnev8x*HOS9VHdV!qE%o~K`(e|1j}
zzN*Ovc<KGc%)*YC&?HPz47sYh9{kgVshEU<pt?;=Zzj}Mjc0;_XPM6JchQB13om%5
zD%P-P{|!V~7>`j@f+BcU>U4m+pLoQU_7_H)XQt~oH$-vCVKaXvsspRjb!hR~cWkDn
zqW!{$w-lK?+HJ+l+5m}yCn7E{WBL{2?t4FWQ+j^{XMXsm1?3gxuX$A#Fq+q<Bjpk8
zl<q5sL#y1ifK$jTe%xseb1%IgLeKq_QhjeG>%x0Yh`H(C*0ef<F<i`^eJ*&LqWEHM
zT-II_q(AIolG~cXlAWSe8zPFZ^iQT4(cNSSJ3E-le`FHVeU>Em=Jiv|hU<IJnLT9S
zuCj5bW1GO{?YJMj^lro2^mzq8^l5-H&VMG5b{sR&|60>{?<F>W<1J0$K@F&FY%src
z`XlzH=4i7I>ci4b+l^L@lOQGHvO~Vr7-muV*z(QzTdcM;GictQ1lz}}&ruRav0<hc
zLfymfutPNGI-)n#A%uLC@4d_@cH<&1<LuA}>{f=<Uy_tMw0aKpCvc5oD(O#G>83`p
z1+9#|9edS)-@I=^bk8Uze2yq8LqCpf8{rZJE)qf4>r{GY?<huEIDVtHcmnf@Iu*11
zR2BN%Rg6V4$FL_YFK5M_r?4`&PTJ$YRKQkiqW$BYj~K&b$6~(R3`YDAFfF8`0-rZ0
zoN4AiVg45i=XAJcG3JSAQQSoWXu6Iz#D{*yGB+BpDoK9DmS!fWrF)dY?eC3!Mt3K$
zB%)p4rqcoz`|jR`v4k@8=D*KfuAIagRK&v)nwPNa%SZd{&MASlmW-Lx$Q0)BIxj=w
z&^OG!=HpM}emq36^UV3H&R}A7f*qL953HMoA!3JwhfB`vjb#;IFacsDm8R?`=15YH
zOvqA%Y;^<YHM==1P98FQTvjprs1585jUwcg<vI7u&SSxgRdkVB>zGYWX4;291pvDX
zwc3P5tp2~Cx?ajA=7C$dQ#vgVwl>`}PkolL;p0+Qw=QmB>+&3X%w6T-*zj!4h3RkD
z(~f(|EgOF^Myft@--sNHWg7Xb?fZchJxs~=c(j8Z^J&4myUKz0fuX{cfuESyvvXzh
zF0|;N?PW&Q8Ch`qt;13py^6)%rCt26O@|m%&zA<Am4&Pw+uLpj*Rjwp>Se-P2DCWf
zH5bkx3j?erYIlxqVlqu*CE<fih#Lk&YwpOvyVv>@kK0?Ay81?R7aJ>bdZv56z*q)`
zj|y$7asR{0uUt~fyTFbz6#m&w&PYRS;Kd^Gt{tq7DMb0J8Yf~o`|q+<rZlV?ykA&8
zL5oCZA08LT<VFpp{nD>(r6HFau216Vk=WkIqt&{+NS=1-UKN)#m_Z4<{{#bCwb;k^
zn~@*c>euqNH%mcQqvNeF(@dy=L&krWP7vuw1o=gUN&)>F@meNvR<!3yMAZ$lFzTxe
z@LRQ$f*Nr((~qg_s7kJ5jhrKjoF#5ON!cp}rrJkHohF=!OLFnwrhx>q55xgFCj~!C
zBb2mrxe@GRSzYCjMluP}Mu*-?f!9^%9}Wh*sEzM7%Rr$F5<B3&=%6hPDcGxx3OauD
zK)5e3;h-Ff(#SmAS0)WK3V(g&)&-EHY_ivessj4n>wPXCWWeLRoL+>GFoL$T=_<;2
zl%=vh1st-_Hl{gF?<<NT{F&N*TPY)Z`<jbR{Bpo~L~H5Fk~oTDINzMHyF1Az&!)y7
zmxr@HrhA6&N+EnJ_1v$|L=@n-Artgl0j5HP?4Mi6AQAk~H@qSV$qaVQJ1*lvYv{}a
z^#NHFBgAN^=B|N=zkk%HSrWkRTHb))IeE13)@$Nm78&t+^X2q&5h3*OtI(%Pim0h6
zwkV}l6KSR1|Mf$O1UJ%<-<5eh@+jcWwC~kI`;~4kaI%uY>$|C-&O>E%Wi`aA<&icr
z$zXq>t)vC+8*@hEfhx%7%uomZs1DK*b4EAgbU^11zTQxZh`PEYD{+lFC>8gGaEVJF
zG8cVqSE|*}jV8yYs%9Oedgi-J6EcL)fL)4ZCZWW}znYRxIw*Fj>oY0N1iYVAoB3sv
zkhc!IZ&{=^n*OZp>U;-)?fmI!jU5u=yHXxGtD=S2?%)r+nx%q!)=cY^t_Io?-kR_X
zBBPW3@{wJfW^h$!E8>We25N>IH=7QT5DiU94>yZBm>8;>uCQt#e&PA=Lt82+a9P~N
z<CQt=w+f_rQ$#|y;#`{Xn~KQB<rm|SjRhp=58n}BAfYWv0P)3~40<u*9TlEz0neo>
zTV{jRP`z{efIqV+n!x20&}UeHbJS22F+&yQ(|qhaw!w`)9VO#eJS?EFgG=?*IRYBZ
zSacZfphf)_tM<$+7Vz8Hc*>Tfgy4Do*4oZE=Ji0!Z70<n_Hdqm_wc;}a;D@yrhT$P
zx#{q7RdL%4^5i)0sf5a*`&sMP=+|gq<5P9^bq_Nzmb@yJE-r(LN}JuL2`pgL?$~t;
zGlhH46Y*0IB#=+Xb=lJy91vfA;MEHWQ}`s9*=uoF1j#*M&QNdQ29(r(X)}fjTQwzP
zBbEZ_YvK~+6gw~Ii2J=R{t6JtW5f3>ng`8uNUrEi^1?$o*1Lj-0V4a^onz>5D4DMz
zGU*T>wBKHCX)U2ZF@^XEl`tX!Z}slQBtEzsweRuIG80g9^e*Onwu5z6y;{jg<%5Hy
z8g-$1V^EzsX;EjfhDGNu9cwzv2cBwQ6vRi2;KTR8t6Obz7`}^?tzy9kKmC&Jx|xkY
zn&5UpBEJXI<}|LX;pKyY?HJcNQ$rB(_j}uLvY&F~>Yc@hQ@jw`&?;wp%>YOhZ-!i&
zzfhdU3ON#+c%i%5`qB5@{oeG!hvn3d?-cK@kHhSDc_Ho)`OyzeeUNaiaZvSJr|_0J
zGQG*+h3k8(GcvODV9b@eYIW=nrA}h+v7j<u2%*PhbZPa#S-GLlc4~+6k;AR=T_-O<
zc-pjIh%T6!UX5sEpaToR?@yg~c;TJFpOwKS9Uw#xzU=-<5BoMc(UJony#M>)gVq@x
zxXjAvk^Y<!Yz)N(tQz=$Et&PJ&#E>Q2NA1oUu1^M)-1!bhWv2t;rk(vxZPbpq?7!b
zzzQZ_0YU1+{7|Dgz@#Xo4g4-w1FpVi1KygHh2S&+*qfcU?@f&s%vN8rxw^~7(MPo$
zTgL>Uzvho!l9LwL`TC^_@^OMbIlh2pj}V9i{}9RA(FEL4(QuAdF4%LpT4vlq7+MqW
z2b(|Egq~nV9=}Fzu!_R%e-b1Dk2*V5w)`~VXE*Y0xWfZRu~W{qRia?=s&7P{s0kvP
z0)M)bcwuSt+^Y?GacGZexD&idhJN>zZ`POjfRB07EI3R8-WO>8Jkdvnu0NEh$BF!~
zIp}b8mR<@7dm@~$Dl%*hj|4d73qZ#U`H8Pi(!lQjvv^-N8Qzd?yg7&o!k@Bjru#ZF
zKp3?C_%D?V@s45pa()WINzQwINpiBF%VI)m%OJy?M_t@&9TE6CnR+KfOb*JGc{(df
z$RPS~KGP*d6lzAVo%fZH2dmj%tgl~?q567Fis>&gAP;_H-HTU%+R?&qhu6vQkLD$f
zzP|*-`#{fvjv~YdMm!4E*M#q6_qc#xl5k(Wp4r<54`r$1G1}KP;iGxubxR9rSW_C8
zQa!2!GVEDT%QrQlTX^uuKA~L?Zwyv%ol=IjCO5glFfEu?>K4AVA_Iv-3AVj{1UREM
z>GqUW8+<kj6=l0*;mf~+>Jx4%;LGoMM6N~~vY++*;3<=XVsZb2T?VR<e0>uCU!V?b
zH{8?1V&vgn*Z#@tTdMHtchS)RsxDk^XPs7ZR)EB>@k_I}h>-0)Ryd=e2bKYUIA`P)
z;p|X$dN`vR6g{(Ps20_SgAf0WDt}dkE^}<v%2W-u%`S<giyMFe885$*hlgK*8Lt&A
z)xh^(Vwf-95Qg=G`*sYK;K{{8CK65!UUm=*Ep?25hbxs#exU^OYKAKNGl-BQpHv!a
zW(-#%jmc>wWguMe<$L^26*@m*hu5r4U@VJ%E+JYOf**w?Fb%7~2@xejN1(tR>&x?6
z_msi9oNKzVkN^)bhWa|5-TIvrmAF`~3?AYE3-8Fv;9AOH>=*{HD8AHZbzK?o$|~fF
zTs(~T@v`Lg09fBjk4)a93}y6uE>=?t;LBSs*U3eN=)KJJ?vqNOV7a_ACLj-p;qy`*
zl?tg2Cx5OuDM7ENoc0h^7U-QygIGMMpqyts>{5w`-p@X#iNVsK8kO*yDS!(2ezVpq
zUlhTlvf0GPO9GC!XXWJiQbAr<-)WUa5yUwJzY_RF;ZClDBhiTp9$U)>F`^29ca82~
zr4s^4UFyXPWGd90Gk72&B@fr9IAf^>{E(OPf*egx1%*iugPPqOzg$c&q;KZ|aRb*J
zt!{v}pV0A<UlzEfa`)Bga=~cpC0u?Yz)AWOJs&t_z;9@^{X!Z$7)j6hCIi4_kF_iA
z9MYh6K_%*R9LsL+?*HdBM}hmY3oVX#NpNYB4&Y*A0&5$Q&>>3-cp24-R9cIJy}(*V
zu?Pd)Ui{a>a@Pbp8C2;u<3yoD(%(_Kln!dQ&eE@J8AI&ff^Wx1gyDkWh#Nki7J@pD
z`N|zIhW2YdC8G91&|hryIcJpy4%57FU#T>LUpq1<(xwE!CT@~dyqE@#xIFdU!?c?p
zAq}m-Y<}qWdX?yvMFUwhk8;;N4MEi}3O9b54{iz?1)l7tfk>R5U|hQa{OQHj#C!6B
zRe-5(kQOa;$=UsNRxp6lgYR^k&htQ~ZAGzMA1zQ?G#)-r)(1L@MR7_cH;k?dng*uP
z!5OJL=jhh;K%<rI4f@Rm6$+tV5h3(|cQVYSoX~?|GEE)hdrnYWV4aK)XMi-y!2<<D
zy5PCpNPlLQ1A0CD?tac?gwY;Cl98P*Xa$WOx}?GZX06YPYKEDh<n8n)?N>U$dnOAv
zSBwMtoq(n-5(^}WdD4_y=>P?(O!`~l;C_+6f_DikP<~u0y5F<gcLv&NUQrwjc3KbU
zli0zDrjyb8pf(WW66hp^aZscrNN+ie1DscW)SpQ$ND7Z#<OCdWPA`qT%IAdrz2>F4
z=d>UkIV9Jn<3MYtd-xHB8=f8`c81}!z${OzOqP`cf<I?3?7;uIZYJCJpC%kPcfsoJ
zae)7Ir4-)-yb#pJdF+d=CR7|zEEEXjgz4bzqmto#z++&*%D2nOW5dtGlw7&M<LUIm
z@kjhHUQIN6Rz`+>s!BdMJ#I)cYw!yHCjcMaG~-NN$x!g@P<GjSZctE3QG4tz1iJbx
zkvgJeVBP*HtD3+A_Z02<tjB~wfKFFTX+i^zW?kJ&XU7XkSMm;c28aUB-NAykY7Gda
z+vLr|^FjIDTE%~&;*eIEo%AAJ1H3+e`4u9>4>vyk+#H>h0NS$X>+HT7ATE5(fI~t6
z{D$p&PCu7|N30a#6lV>{I_%jvp(hAM=S7mnK1;*xGEO^}eHvg^!j<XlF9dIv+<Jr;
zWuS%8#3a{61A?(fjn8U@LDtRnYd@VFJlU(?pMORJzNl*~NC=2R!yt8iLqQ(g47ui8
zZ)(8I3PX>3iWqRD9&q^Mr~v&$L-UXx4LI9!MVLlZ0%ipm6DkrEVZZeYU0p#k$RE}2
zW^0jzRh8;sjy62ZE<#CsC>b_3dfI3Wq@i-}`JGdLlpwPDt#Qu+88`w<&wEJ9KxGBE
zGm;5FL#;@&Jg*6<owZr2Y_edzEx@gNTm?e(7Dd*@wBT6yL!R(Ivd|lTPs;9sDsYWi
zww)c(0`YXQ!r^an@K9S+?CvEZP@dQGbUf4sw{3dH!!z<=Z&_^Fa#9V7TP!FR1v=2%
zqcIu!UI8ApUMWeJRfiXUe8*0f=)znyubB*{2wsNAu%SwI$bi?K+0A<3f9>eG{(L;t
zUJ~`r_^l3U?Yc&Cv%B804*q@1R|&jYB*q75NswVnXi^k2gd6I$j5gBB5P3@LT*`BG
zz~#-|DsVD_!Wc>0#wKO>OY@JLNn0H>k<``eX~wW6{=|A!hX8j8j1O9z)!^``UZF#)
z2{;Sg<h-0pfbjBh=QaWn66nL?mp)S9McMraElmV?GLJu4U#9|3JHO@}I18X~?ZFT$
zMgW17R`yPM0@!fa*%{3M9PDx1<jEpH@z8-@K1n6GJxB<#GN*#8&Eof2Ai#m4Ty8dg
zMYx(DYIgWK6<R`$=CQOXgP?oUro-CqU7J<1O<z#q?ytqN10u?>lqvr9@mm>CsnZVZ
znxX<z=xo7|of6cHqg90<DVWf2^~znO!t7Umo10#ESe~xY6Y>{>^ug*>#R)2$EB$v?
z(_Il__nYj^_)iEp?nkPgYp24nRr!$y8wF?x{9_lm`%g|Ci3^?2q(ZDBtF@-0Jn(6}
zSYIdbfJ=>Gw(yZ%54tPb|342;+THZdZQ-Et{CnRU{8Tu6NzCczYZ)l6dnS_O%>vD?
zQ_{~ncYWGLr+R*OH+v4`o!*zh09DFUgwbGtL7ahx2a^;;aU3ET1=B)t&d2IzQGibi
zw8L^A#G&4UTV&zqKS}_5zzS_F1rpx$WIb*dg?zS=PO|D2MdEd+;^a#cm^rw{NbD1a
z3|cE)`7;}oYs4F$B)CjKyR-Q6#ovNZg${)a++3qfM!xMacQJ;Tchh|lHUhvA|JK(m
zdX>`fQ#0*Cu@MN3rcN`p@<HU|SYjQ=DrGvf<WSCvAv{*;)!FN^%e9&atLMtAls(0X
z8)_6o*p-CfTYes3HH&07Z(OCEoGkS(x@iFV4_;2YEOLQ?s7~0e$~DTK+mkb@OS`$v
zU~ts<!2!o!VLTzr>y+8*x1=p=eHc~>1x-C15Z7nkH3n}|yac~}7Qe3t@2U;?C0f|v
zL3ICBd5tYf%ql6efJ+YodS6+jUtopGaBo<Z{!6h{&y<df(1pe~4kt(<EU=lAaO#24
zHsz9&`0C3!9f)vVKHq$Y8IrC4Hl6?);4zCx4?Lm+XP@jVmi^5HrNL32jiI#A<|_R$
z;;lAJhn^Zti(>*CSxa^0RyqiZ+2^%js|`wtqUS?(nZU9U?#PKUz)OWaKCgPUfYCg^
zE?0mFZU{zumM1Yn$gjjMsr_2;F>hW-NQ?=*^e03Wc$i_1BKLuIR1?0MO{^cbWP+vl
zCA5(bSs><AJR$y+CNNY?xe&6LAWb;VX805v@Ms;q-t(IbImY<Va#m(Y6QJHgMmWfb
zS7ZI1PKNr#5l7P^W*B?(opFQ22|-K7J0?Uj{0{&C|Njh^cRZDU6vyqAbrA{Km&?8G
zu;+7(eiTKDWQ3HWl8}`&NlM5FWrU2#CXt?pQbr^z5>c5UviI-)dtTo^&N<(6&inHz
z5>Sb4Ji!5vO-1DDWch)3Ts^U`oeC7NPB+uwgz;su&^kjL5ST&?c>JkgpnLWtRf7u{
zB$izXegfdf{4|6nO9c)#K?>P^7qpby3D><5gye3%xtF~ZARolrX=HIjX`!~6fy8cL
zO=ftq5<`Kxt9`eF1$ZIt=3igG$HD-!gPu>VDIo5ZLpztx2b^hmiX>?d{49IB1>zLY
zda7sLUcnEKA8@{${2>a<S`_sIgJg)Z;rw&)1rA6H^BMM~V&Jt@6=#+}hL<M4H*Qu5
z08?3J1DYuTjoCWGS5J}Qgvw~ocE2D@2xNT|tds;-l0qQflnnNHgW}!0cSE||L)A-*
zQeYN3_FvzAGQ8>RaU1p&hDxK(aaKtguw7#jzwAl|lO^q@k$w@Vbym$BIw1>w7cd*?
zR5J9>l`*=xiGutE#jotya`4(@*KPMrGW_SD<C@Jb2IbOUJEk|}VTiL(@}?mL#{07@
zZ+sAk2UiypD9#E%^t}DZFNFg7{kwLVr|*M^{bAq2S`=YY;aq{>E-Jh$`uWY)ObW*B
zqWQzMl^~6k_Rk@K3ZD+J<``H=L(%@w^~fA$@JED|@wzmauXgqLctQrQ{Th88%|(L8
z*+D{#+cX$^$R5$?B@528c9K#~Dsa$re-hIVRp^VadwD8C4!Vo^YEQ<KfiqBRGkQo3
z<Od!Y@MOsY631MbK>w#FxJrG=O?8;$*V*=}!9(QZKGB+b3VgMWSX)xpgyRYm#a_({
zaI3Ok#}P+`RXg{g=?E>bFqFvxdOazT8DlQGRG7InU}iX{4WXHL>+V$%;HJ2twy6#k
zs;>kl-Z-NR7wW+J@m(cIjacR>=A;7SXGiYjVLb@8dH<t8LmB!se6)V$P(b-r=x<Rw
z1GvYz@zSYI8H#?VzdVMczzvs$q?~#L4l(b`VGt%l;hnbOkpvY;d!`;{aSve1YsU(w
zM}(l}dfN38B4iitWj-Zk2wmgRDe*)i?5jVo?t4QCim_8V>CX(oYxqm9^O!QojMk-=
zh$w=@d?8m9rx93t+@a}vDnoeN?~Tuq@{pb&TDNFp1Oe*zk4)7lf%&5Kf%AW5fL4N7
zFoYXHWPnf5)OP|nc`fE#w3h<AMqwtk6eA#9H@U9Ws|ah4&fX`~iGj;0m6s;*M(||y
zhSZOj3b3yOuaqk+0?p|=6<z*D(9s>s6Mh~KQrjh7C;J3|ulQ+^#C{|CUVJ*sAR-S^
zY2C37GQ98z)Qt0(j38Lf)qnhzEL4qpKYAF$4jO3&Eo)_lka0I`(9A{#w1{~eVVjIl
zQ#3B*dcqKTf97|cUy_1{f}fwRyk1AnI?%d4uL4vAIF8usN`hs}u{JBC1;pd%r<@OQ
z^nSjWxb!Pq94hM^iaOe+5bopGdM$|n6B7>w%~kdS*826b>E96qE8cC*8G*p=^)LD<
z-$g(<f^oK(`zxZ5Xgo@*HUPDa=mPcf-7vWP&6uz46Y_6%bGCm<ALRYHkL<1x1i3v=
zJVJaMkOvP==}@KhVIz0%hwUFYXjw`RpGc@h+>*qCcO3NKHFMF-TMd3_spK*Hak&-|
zIA&;C^F$ZUsEjS3UOezS^pfcI!FuHEEa!`-!#cpEx1Ugfae<Q2TfyMUkBEC!i0Er2
z9gw^mk$=^h1H#5HbzM~KKps{yA7KyHhSucR<dXl`V1W|VC}-Y-DA}mQd9`bSsoJ5A
zXO~&v=#oA649@^kE?>^nrl1APG9Gfb2bf^!wV91t_Anw-T2-+brU~XcId|i(GXj&D
zk=^atU&!Yhh1_2!G=MSUnyJnS2KeC6l~n97j@Y^!`=()~0X6&M6SSMQ5sW)e>*VMZ
z^6TWTl(kxQ`1tFQoTJtja&>`!-6LWa$zZr9%|KKKzQf+;J{ucI!Zv@svdlbU)iU~5
zB|{D7jXq4bb8R4=#0{J`&jKQe3?A^>qXt^CPP!2;>qw5CS8Wsf65^KHrS~FU71C}?
z1qH3FAtp^`{ixsy;v1iz+9{+8=ac1)4O`cclW}+K@2IUIF-LFl4J6S(dK(MT?^{E}
z2cEWdUfe*Gf98qRO3~wi1=V3<>xlk^3IE^kwvepWY!|OWDl|o2==}X?9idrN43|nU
zz~O$j!A1I=;7~no+^M&LxI~U6lwDwi;c)cC(a#jnc4~The$OVNAyPYE`h^L`vual2
z+$j*KZ{_DDzlGci7s|=7WPy?1{@))MDIi54FVRkKBL>X5PFa(z&{?4x%w|LeV<U=M
zZqE+V?o@nSD2p9#%4_L%M5ut;cm3SwbqqjcU~~(+&Ix8tO~bl<BzWkfCHJ_15r`cX
zU+QnsxhL{qzL-J+G<o{NQY8~42aL>pF5!XVE~le~kBGo4*LvyL5Hsu#cB)%t<A*Fv
zIHP@A86u*BsF8S9SYH|=9kIlLob3m#uUC{oZA??WG=>cn2021o$_3z0gQ-gKsuHyQ
zK{ezhIY2m>e5Xf42;Nv8*?lQO3F@T?`Zv2d;ja$VE`Hk$zYo{;x#N{!`Ncl*r{%k#
zIAUOTd8P=gnTI6cy9p3<;h^Gelm}iHFh5U>5e23{J)seC1o)hze#&Qq56%g!_4DM4
zL6O0?@>+NLd;P?O)9N_L_?|LpGa&)E#B=SIRs;xD=^$T=5P&9j)dNIjDF{|CY=EN#
zVBL3CyLMF&2w}RJNRTvG7QJ?6@+E*tvDy5GySsr;s_@O5AsH~W7I29yC%^;eZ(Q=4
zA|QI#dOOHL4wSksTsbaEzniv}1`-^iKzXYXojxlMCu8++zWGYvgNgJeZ|nt8(@^cp
zi3-4PG28Fyp$uG>l9D?(3AlG-mXD8~UsP3ei@q}vM)dysx^_?!0<9D{RYa6w)U<n3
zGnNGP+>Iico%FnuVjs7T5~0uZJiKBhgLd=yB!y1~CUZ3Yjg+gv{n9y64_68#narP7
zqVwKej;0u=OM&lK5!P9EDu@a#T+Mwc2TbMEBbVsBWBgi>;F3Ut>)i#X%Q^6XL@l__
zby4AW?Rs?Dj4CuI9zH}oqX1MX<%n~^G%%0&`+n6+9ds%)mP_6!!a=t<oWlkUa9PLk
z)xw(KLRAyVVpjrtFO8q;7OH?()nYIFp#@l5_ws-G%8(gs7d(7M6^{JvFZ^1s18q&G
zi`kFS=dQ*nX<lCyien~bPL%0^?ZMT9zYR(7g_fq^{+R~+sHjtZmH{MkA2(##BEdug
z{=i2O8t9%HZxb^HFwa!u^$byg1huEnUhkno5_eDcTRB7UKbbCHR;>cI+DvxuO33gp
z%I@jQSwpC>nSIq*r~+0^BZ`3yL=fLgWot_|f_dpQ0e4#!*tqqkq2?9=nu}b|zmPHp
z{#JqJz$y|jv*Ico1n}UeeLr;Px-s0_?nl_Z5MkV8|HZ;M85qq}Xq>4s2G1sw?8!p<
zKXV<p6?1qWXg8(2nD}4}_qVE)kfTa)X3p_+X{QK$|0QgHyxbT%{lE6+wkyKrTNMjF
zbUu83`FDf$rZLE>#V3X;DFA6YLOf266HZ5m-@K!43@o_y+C4t<U_JWaP43hVqU^;j
z6WwbBO$iMb<x6DYt!G%ohSwZ2p^)ek?_mTJhA&t(XQjbU<3Q=hp*F;I%{uVZf*~++
zEp7y=Nddo7s(JgPe)Lhw(Y*BlL-55vRgn;sfN9y9^aH-rXiv>^zwmVcV#%}H@}qQJ
zyCXHsF0hE!!+!*~YXE~UPK-E@2}9Ohn`#+@Ra7SaBc{s);5|UDekdjcztsbkO1L&q
zzMjXeM}!b?N-@!ayEwR6Kxvz-+eEh-%lNaD4Io*gSo+j4Uf7bnKfal;h5B3g%Hz!S
zp{(G($8mNpkls1z7T&al-e1P=`sAYrk%<$Ms4N@opEiB__SP24AZNQ$nW+o2{m0+f
zXEVX0p~?SnQ=2H2I9z!1n+`PBJ<d;O-9ZGuuG>zFZ=&HgmEKLFIzXJ_yddwrhG@3U
zvgN66p#4e%L{S%Qs7X|d3kX_7@K2n{7Y*0Z<?%0;OfR+IUjesiyucjdp(=Er&t?r}
z=&@=RVW7|X-%kAiQ$Vc0<0mGN8EM{~uAo))zS4^6vYjT3Dc^th#b*RbOG^-!s$M}0
z-J+hFywZS)>E9Fag}un7Q!f4j!YgRrmd|YYUJZ~7yLiqp?;{dBZ2pZUX&FuXEug=1
zOC1V*jJ;`Y&yc7{{{!o=j23$zyEFAy4NMN6RJ}Uz8f{XZ9a$GxMh)xL>kM7hpyrf_
zZC%JG^ka@YvkTucdg^}Z(AQp7c)f%dv$gC&nO0lJ1vHn@w`N9*VOFZ}zV)F|L+b#V
zG1Jt5MlPfJn@4Pv+G!Aab@RN{<S_cm-OYT5YXybnD@=KoG?)%JY9NmNLPJh+I|tJ1
zA{7S_#=5C6Wj{DT3m8NH*_LW=#I2$=A;iz0ov6?oWxwXPcM`QHMn8C*wuZJ#@}(Y~
zqJSrh`ToI*KWM3T)5D_vbu{9`VuxEW1rBkg9LlwtMWa@ORv1k;QQb_rL(4oA;EXBD
zt+_gfesVR)$0oK=s%Tye=Rq=TZ$7ip>7Pdj^Bu}!>vzx-iBEO+URQyn8=e<o{{ouN
z=!vtOV!(u(14CtN>38)^w3p2LMbz(UHg}r<6ZW9_T!Pv*5xiJ_M3d~7(OO%{Y<EXy
zjFpAy(K$0BFwT5ktK7AU+8ex%jA~}Vs;Yj{CX(rQnwwxLKe&eO{+mf)bz;M`o2O-`
z|0%(e5Boiit_`%Nz*2Kelmja;efJ8b?>_|{$4mU%LV2UvhMzHWVGFyjs=R+gfK=SA
zt|CbW?23b`KFdCCY+vEm3_leD%+?Ygv$-&0?++8J)i3g5&uh9~c;+j@)IAU#c|*_p
z0k{ta^J9ZK&I@iTitx?h<gBJP3#K?{Ua2*N!>p=5mYTg)0Hlv;P@|6(>vDi=``rXF
zhnWCtReJ^SOPqgbkjjn)$Y=Iq+`F+4UIPw6%nDFqWmh_SpA$<`jw!o6D2x>yx>Q_Q
zi-+rVehVwPyReMT)txJSd$2PfOSQW1;Ne{9c{!gY9t^A9D;~lihE+MZb4a@4;oYFC
zuD%{WmcHMl!_iIxds>-TV{sG@E!oB0`6)O|TJdvj>Q70Gmb1Sr`XnCA^Ni}{_6TC0
zl+PXcR?=8VOYh~Ja6AmEdE2y931Q)l0)6u>G8p?V#zT{z@o<dCy(u|R7&{>(ZgIjz
z4y#`5I&6n1fF(ZvlfCmEOm%))#+e_F*(HeBWqwnDn%uOO;0t@Pvdir6qx%)G2ETpJ
z<?<BadzC6-I71v`=ua2ZeoesqgN9iKiwHoCk*1Vw?!yjUmiHGZP{zK>tfZMOE5ZBf
zs|Jy%6c+YRqxoAN2|L6eAEyvbgv5}o#VG+9tmwb%HVgS=?0wmjLUDH$SR<|~Mf%HP
zBhzbfH@;9Xd5kC#bC?1?)b6+o<8m0DC1$C!fr>Gy+zED0q5{gzG-2<G$L`#-OHj?A
zVf-_i1~>s#$U4V2Upb_JDLq%u_jXprKKPIruhgo+nC(KcogD#7UM}%dT~ft3)CF1>
zVl{xL554lJQ3;#6npGHYqlU4{6!|VjYk`=!$@%}piP(-?{mm^uHS9LQgX~tQ1AgJ8
zvsy<;Sb#uQtK|VTth6X1<>og%h`sZNJJwDG3yUC0=(Vb1X_KW(@>~ck>3F|R#FMew
zfM+a;D>SV8!IX}1JOExaMlYs>j7^K)_B!1`#ZEFvuD8S(f}9jX!0Q<@M&J!OeAbDA
z-L9c2PI(&v^Hc$wVjmeh?e0|e>Np7#G)%5gAR2>s;j&%uMKX5V61Kjl5U{J3-Hp0$
zjNwDqzXD3J3MM=({(QAi9@`mBJXj%N0)abU%TqH+n3QWGW&D*i_E=)nmS$xFF-J)U
zyse1Xfj_x5)9=NwIki)lG;K}5e}D4dsdq})7{7xtTZ$0Y+i|HPUd;ra=S+tD;Ur*>
zI+7w{^|`Twxqpv5n>PjxON|SYWCiTvj^+oR5e97XeIUo_cw^AbK32+YERSj2d^W^B
zFpZMi$B*^M8bd;1FUikR7E=tkedBp`H4@d36LTcT2uA+QSX4PnW3vZuw1vH%M%sdp
zl^97Ifw$JIzsA}=tS{=9L%Yo?a{lvd|7H@M%SehE&Rz_=Y2>z}N%sK{<tEnZ`3-?<
z)i+vxS_Hdr+3GrfIurCU=3E(y1h5P)xOteqFDi<wG5&!pAeg{^yORUpU<4mu<Qp93
z!nSqza26{>jSxe&gb}D|T=AY{;KimU&Kb#@vOzX~<<Jwn0nB~-m=n&-iOI0PuayXA
zgZd+j*`=Tlw@a<X&R%1|{)?`h*$82S%j<!GtY`Fq>uBJ=!E+4Q&^ylU+s14V(A@Q8
zUz{!sN>|`RuC1YB-nsXgW?11#U@!i3iw^ABJ$JTg<{xUiB$_lD!3vYI;7H@rf$j43
z^YJoMsOJ2<kBuxVFqAjDP8`t&ZHK-w(Gx$=h@ZK7?;BYlF#~m*%b;_4<+tvFT{C)5
z^RC&Y02bKYxc24UGF_Llwymq|E<t*J#-w-Xvw&mNN!A%_O;AikaKl@jNa5ay0tN{d
zFl?+dWv|o#lhFw7V*O#HpWmF5a}NuMercYo6W0LVmCf#ThcRUA#li}K$^!q{$O*RI
zQwLwg1drc~e~@=Szc2}TvVb$^Ew1GaHF!?Z<f)69LqZQ?H$>jEfD9p1LcmuI8Xx+1
zT-^MJsFb;%GY3`(weC5xHLD7uxcl8ivn7NtWuvq32P@oT`guM5k}BA_>cq5PTR|@5
z^*U;0u>lTqES+4W!I)rHrAN*ha#TqF-1dETc<mF>)DudBtG-PcUM(Al-kI;>s!uqe
zEXvi#orea!l0S6O`7NX_YO+VClM`MgR=ehAP@(7)>G&@k1Eg>l-z%r>g2?rR&X-zL
zAm`W<np7E~KyLZr)wkSWy-UP4xrYMvkGvaaU73Ji)M>jifEV1nG$-N%DB!-C#haSW
z4C8GiH+Kp@=p<NJ_wA#=h@G1|`y30f8)lQW3~=zV*8I)U$7Ikg>72E*WrLp|W-hh3
z3&0Q~wGP`<frS{sq?#UfD3iU$P*orZjt_R^TD??Y>WtevyUUzlMd&Sm$-5g&E4AA$
z&yqmnF{k!f;w~_B2Yf)RF!XiSQ%6Hc;9@tlSC)$hjySx@9ai51N<Eta55-6jvvBux
zCl4QlnrmDw-x8(!i(UnhPefRM$gAO!$`9|U!PlNmiGj$G=YE%Ci14!Glbu)#4lF!T
z5z@8<V4ta9hdqhF&a)a*%_|6L)$)5A#ifATR5_OEBoT;t9;ZHB5Q3!ljBd4urJ+$Q
zAgJd85iU-=Y=1Sn8#o&zN>~zPAOteyuoNOJs_K!tgGIpLf}^_5Us-r~xL-8>4-x+A
z`zy(iM8Uv*kK0K{c^KsgKk&efu3PYU!lA9bkmxp9Q2GrI2GMcnOxRUG`%25PJAcIC
za*;Oo&9jQIW~fff8Bl?*_vI$6SN4J88NcYi+XRq1JHOC0N(P_6_U7tnDM<P}c&YA*
zGNg6w%5_el02W=;-c%wDkKDCvahfD}Fvl32dz=dYl?4>x24#S+c=+YPCKWJXJLLLN
zmj>lq@{f1~<Uml=+0$2s0+(DYqScI5L4%xvIa<g=Kz_=IQ3nMyOhdYFdZ~dIEG`z^
z#lzCeCw>p<zBE<+1%b0p9lpIMKCGhalsp*CFCV0W#(2JaEKw6I&4TtR|51buPNRa)
zBpL*5vv#gmYk}bTU8*CjO2D4U{hu*ik7DK{9*mAU;53(dW0Or8s3NB%?dka$>Nucy
z9zEbcJsX3JDZ`Rj$ytsWDmeSf9O<dohrH9{X9AxP;m7k21$nMia2&z)wp>JDZag-W
zMUn)K-4{<kNv7*j4fAVbHvvl6wpm?0NwDeqZsHJ?44UFbb%%8gAp^(D{wk0J{&NX&
zE3HI`je8`{IY^JAPJ>paBzR)m;`>xY35b>r9zv&#;Dzic-*^uZ_)h-T+Cx%+ND&Rm
z#Scbs=nUuUS9rP(%`*#)Q;>t9t;woIPGcBjJKp4GpbP=ER$;O-(r`>SDNIY*7<`kL
zzb4Ak`@qv_A#+|Fo&~B#MbWv*eHKd#A5w&Ej(=KeGr|z=iA9Rwj6wgji<V=c0$h|a
z=Y2bg10jQ=<l*l|Fx$?XnX)bq^5!)@vQu2pC}W>+I^GBtFQjV4dC9>XSyn=e#thd-
z2TmyJ8G$R83d7=e8L+!nVrA*Dh75H`u$}8O1j2rW%qxeaf%YX@lx#SIyvFmE4PP(>
ziS~O}k48y?P{$QP5ve}pOjKE5#U{XjO_l$rC*lynbJU4-I2+xbo|ZdJ=a;;){N9*$
zQTSEqmBCQhi#D+OAMO(YFeC3@i&7SWpKDny)8RkSm*)TC#w`#)OG5|ps)Ru95Ow64
z{WzNDrdDvw%K*%!-?i;r7JykdX>LcuDYWS(no3U42i@}wZ*)%bLzIhsr*`@uRNZ$(
zO}Rl22<j5e`Aggoc4dcT(E10pICGFaWl0ynfQRMX15U7GRCw;h_XmBluhr@SSr<w=
zO%KIhV}o#peqD|HNz{=<5*ojx1IhZ%Q_Bs^kd>L8Mra*J+gno(Ua8WC%6HGsBF7n_
zT`wo=dFm+Y{t1&_WYPwjmdD7abKA(n^Txt~@C%*$S8+tlMhk8${~JutTSw0OlOjbv
z4Ws4E#A}&_ny{5*ad*sh1?h%-tGwsmQC`(84--yJ;2~Ertwby$+L9%=yWV|8ovjL9
zVV)Wgp&s|=jle%7%**=l2ul}g8WA7&y+a+08uVV5O#VfRi|jHgCqAJ@y3Wm~bk!k^
z`CFT-`84A2v$&6i`X1$F(D0Rgp$1djJHp#qlL)W*#Ll0#SE$UKY2bpm8i<xu^*qfS
zLrVBW1-?sXpyv#vR}11)>GNH|wiNUmvFr8>EsT7ESmsYu5_naiy7MfjW!X=}TRTCh
zO1cs$=ni^l@qh-n{mwJqFoLW_2Bq(Dt49_yMz)vf{7RV}a=W{C7-{6X`)zpnBVuBL
z)bYeo!AX{@L)3c+N$kb#Kj7Goi0++n3lO71Eb00S7ui7sZcOi!w(dk83FVW-b14w$
zu2C9b^c}e-CBv%d-Gc~aOk<<!6!`HY>FZj<0AjapltPZ}L)Z!IxX@@as26Y-IXoRe
zF7K;<di?DGf+R_i6<@2sK@P2b4Ic*(1`%4>IKvO*!A74-_5=wIo#Z$)h<rzqQvXX+
zqK+UxGp$3~B}ni{?dtGHhCzg<x+P6v`6uEVl#m=|M}#MR;_s)}hmcNhvDCBOzmcVH
z9)uT3%8)*~&ujGP4`gVXqA2oZ47q(&i$iiq33zmt59<32BR9H}7SrY@5PcKyZB|r*
z!Dx$T;534Kv6}i^s{03tP9h+&fdo(#X6Kwa{}buBitsvC&LFNrMUt*<iqI3i&!Qsz
z7jl|0g%U}dLwH9Am=qKgfsO3t5V8In=_u3X8qb?Yd|NGUcZVs!eV_7)fzUA|e6_+p
z+;9OIGt0i>Jc)<P&2>Ms$rH%^i)c~^!xD0(tTD0S2p$gFn6<d@Pa$rGZ2Edr%Lqof
z<GTG;9*)=>_wALRM&bub2A?snA)XXTp}kaj@W>XQ^YxiUS~Yq^7_B!D!QtA!a(Qy_
z$gY~$8#;%ujb!hq4QwF}6Q*x9<>ctTU_JHt*gW$1{e!C=)(lWPIPlW{xhyE28l2+u
zT|kPN9z>G9Gs1b}A8~?2S*RKmBUdOcArEA|4P&C1VcBo?rB$^I`0#llXLhY1v`=Bd
z+UHq;a{c%E?SnF4`}a_4wd5LNq*(KzGl(57UkWxC`y~w}pYAa?cy1t?_sK0+-g1KR
zwHM@Px1^zBF~E`T>k$WTTv3?;H=MiVFx^0qhOWOaE^az8z#FR9Mmz%_<ZQ+k9PgKc
zwm1fl=y67P``Bj1niU7viiM>-9!bHp?(FgF$;=QpAsw<*DggJspBd1%m4eJ)=A>@{
ztnfK|?dacoLNLpboOA{+1xze=T-ffi175uH3x%$K-kG6qKe9-H@LE0ZyH-vZb$kOI
zt$X0yE9-)D<C2hhrF}xqoE!e}Zqk<Y#i0L53gPb`NvPKek9f$%2SVk;H(&pefV;c%
zdFFVfppMO7`3pM^ip`b|g<g<?r~DF>Tq7yS`*-W}?h*mmwD9wN#3BRdzwrhCNsxlB
z`NZL^8$uA$NEA4O%7V_v>+7Dp(r_-8VbI~4FrB9^H=m`-gWK+@?$$DC=+hi4ZOYvP
z)2F;Xv8OA5^WLAk&`23L{Ioa9mq`r%2LJ&7{}h*ZJk|df$FIFdw(RZRT-<95_gtey
zMw60J5}}fcLRpbSBBO8FMM}~TvOb3>3PmYN8b(71kr94=f4<*;oX7k9c${;d&)2OJ
zxBLZ~$Z*fTb&@Mj1#0#_TKIBN4jvke+WWF;fn3=da?rdg-0EDo+o`SyF$MqlPP=P^
z&dHH=IXBcH(|ymg;anxy+RSlq$Xgc#CqL*uF4Y9;F!9P&TLp~G(i$YL(ST7|mOmi9
z4(u<H_NR8MLZC_APf9x-no<-(_2;RO(D(Uu&^dLO>)Q7+=a(LMymt(GTcQi}zZ=p?
z8#SS%wznyILLaIDL+@RtL+6Z(4wZ)jW`+;O9<~_3cK3x__I3J@prH|R?a4a0mG1WM
zq=z9ikX;SB<cvV<MdGK@gH$-Szf~r?#1Iz9?>SD~HG!#UY-{|b4W!)sROxg>;L1_H
z^wPr&3`TX%2g&P#04Yk#T+9&IOWV48r5WJ%B6#M_4P6+WKIAr`WB{)3rSgWq0@y7i
zQr@u8fVq8Cp`l(6bZ+#U@u*nB&)S_QernU8Y`^r3_#_QXf;rEKF|1&;hK=u>1`SkC
zX_tFu>%hCZvdD0XHB<~M>?{1C3(>j!4U7F0sBw>xVC}bt2-l3Kf+4!lJaFo3$|p6*
z*jv>(;AjKq`d|L~oUa3wTqFDCzbL{B#tARwSR0^;KPsqQqQcqHPme|EQZO33C4S3k
z8wft}C_h9*3mkQ;jwEynLXu27i>r+d)URXn`u3X)C;q61oIJJ6P%zwdNqN{BC?0j?
z9;F)4>b0pLY^am*MmL++(AOG@@0w*fZBqm3?##RZ#VNwV=1qTmj}>$mGS52CDTA}a
zk*b*YEO>S(Nco|$6@1Jrtd6>=2>!co6n!Y<#>!ZZrGhL=xY@fhoBCE3aMQ-u{PzU#
zu25_2iN8!pl#t4OmMI1M&aEiT-4MpbBVqFo-I#DKFUUdbsu(0aTafwiVGXvQpZ}8l
z6d+3G+Z^XNVK}E#b=@OJ1XGUh%g{0b@J+1@rIYwTF@D!E6HZYa+{GC&=gR<{9fRj9
zpR+?_e~D+ewkV1;z7p&?WB~`J{gv{!E;IO^U-tG`CyML&R{qn8H3zQ;jTLs}KMan)
ziMxSc6vu<gif4<>;PF<GkCFl-jBBq+!SMqkc-#N?r@43Q;h%z>C++4_#@7|Q(}(Yf
z;OC`J!yMx4;bn?{paO3<A>WoHJak$F`FQLVSlvxw_e$|QiuMR$5L?hU=_-Q#DLS5$
ztNqEzJhJq8<u@^zZv9HdQUoX6>U|e^OrY-T$>ZC%%@S>&%*Fc5MDWrD^|Zi4#&Crz
z?pK%kBEiGiUz=<%f-A`^<`un0koDJGG3w$9A#jFYh$lz{QynH1_SqYOjebRBRwoNO
z2tQg%FBL)l`*%U5#Sm2HCa4+@*wAdl>w|JDBA6%VzT9B5I!{~XKh2%uKww5!I0T4d
z7=L_-Scd_GFwfN;rg9-6zwb%$Z&74*@Ai>$Gk^yMv2QoO=EjyT)rgc7G3?qPk@|Xd
zj<s&QJ=J`a7hR+@qP%RyF<E@<(cTOC;J@_6C`ynYb@tXh36POMy#$?w-&B2I{L~*T
zzbk;nJJ^nqcqB1%V646IogU1Q=3a`r2;sEUWKh5wDU=zg*3>w!2N(V=?`Mk_#_oWc
zYk%~mF=OJ1>N!h2*v_u0{KRh!?l@UH*n4a(3R6c2H+DU!zwuEsdxr>eh9+w;J7q9|
z!P}wtk`59#M^76$iehZg^ZN$Ya@ZeUGWhU19WKQ6Y!urrhJwP!RWJ6)<3t=uH!Fq?
zS3AVl$NP!nS>EF3<DiJzDw#9ofpl=Ky({q`NdjN6Mmkefl`xUNG4b0zI&2&#7SA<G
zBIU^K;xD4gC|>(B&inu!M81DGRLdoeZ#NxqmlsmO_S)L!mQXqzy;Rp#?YS1;>K-|f
zC8mmh#zzKkT%m*N2VbWvZ8Esm(z)oOvKq#A(aLzA)8TW7fTW;}9CGXrxzS*#j<0IV
zr^y0(5ZN53>)Iuc^ItsUHaKdaZn%Xr)msnZNBCqj3>9&4eyk+ZM-#orEsZrh^gyoR
z%13)XCG0MhI<)sB8S9)aIoUVs!?KFAM&z&(x}N&aBQ2VO;YYn&{XXkMnW;e7$tTJv
zeCYR9r|@;?W9lMMm}mf-S~*XOURObV$!TjYPc7WfpB^4%X9$m|7d)z?RgrV};?FcS
zD)Iue$wa{j47o-W-S(*AY^%;$|7TPj_2G5j#AOU0bBEtW>8N8m`vb*kGi`j&y>N90
z$pn5K2-0%+tByO9iW~;dXye7|r#f<6rl3F@7X7bW0}q~&8LW-h#_9XsLcx;jfuY7s
z6Wy+fHE+4&9h|iBRM$b34O(XKM3G~C;Ac(rOs&^q^iWYX{Jdia!yKN)4G+dSlW~Ms
z%OPHpily&jcq{EKV1?)GrMvlLWV!ATO-O3t-y0WtLN+m=HG{UPw}Xt7oW1*9`Y7na
zap~+1X#k@>u4^4VWUTTfwT2!bW9<GR_1Y+atw~D;d#cDdeuQPXqD2FP^KP^p?FINP
zd9y4ic=bM0x+s!O9nbKL^!+E#guceOP6ci<Ue=mR3(!)<@6Qc3@@!>-a8j&Dc9<r<
z=bEH?I4EQJ`-s#X!AvmedZ#MYp@C}h!HF2Gh_?u;cSj@>w5GmY|Bp=r)1ovX!$}UM
zzu7BzhcjVU<n4c`td8|ASC*znr7_0XJt*k_6Es_*M3QvWaPV2yY*?EF4#|3>j1?1H
zZJxPG>!@Plh}*fcDN(FXt1OffWx^Zt4tkKf3YJOFO20d_2Fc3e!Pi#*MY<-Tuyw66
zR&95oj)e*0{Zl;B<rx5v^*23`5K=<^sY`wL8+q}_(0sh<W`HI)vxPKnMcm?O=5_fN
z7gh$%2n;PUfYWUDn539I=9I+@pV#ETJ!Tz&d9Dn2@p8Y-J}p@+_xk<Jkj{qcVY@G?
z+_wOQ9~~#HJ=Wr$H@1t*)hx)OY0nwPWdTR}ugLzoBZZn`UWX^{l8`sIQ{CF#9GZ*t
zcc-qEL_X_-WB!~Zbn4xk)cVj2hGeo8GfKo!uCe#Gz0V4v*>|^`h2ISN3Og$cT*NS(
zXC!pOX@yXbW60e(upVq(f9Sl>5XH=&8}12LuMo19MCi6=QwXNGINg<6-LvJpPYv0S
zaEiM9wY!=rFl0+clgMk(eAi;o(nk_f_U^M0Pc#8(5z`I6yMz%5^FEne7X0fbRaHJ^
z3`cEunyNYqp>(v^^-a;N7~-@>V~3|P7^jGgr6~)d@JS(BRV*8(yN{=<zA}PFo0^O$
zssKuu9resDWXJjT`W_=2BiJQ%{Mzn7ejGV(V6E2AflXD1lZzV+q2_fZ-0tVY+<WHi
zmO5M*Y33E1V7AJOr!!|%Blu9G)8S11HE!fCIuP}@!2qly%jX~2^5L(#GJ2vCFFs7E
z=@;H$00P%f<X-?jOmcY~`>K%-e_x*LpY76zNy(K2seODX=XzcL@o52+e^)cxwND>(
zdy7s=-{Hfjuav+3+9`xEP%qp)rw6<RM$wsa{Ak)>lko7SFsf`wZ`VoJgP){)(%>V0
z)PHYX@~~nJI?bDoP!05;BTw5R`?vspjoul2|FsB?3fkUZ+fRp>OIu$Q?-E4H<f7an
zhZvqt_j|nMJRQugXIE2vgiyBO8u4?pIBxmTlVEO6hs&)_4$tg`@%Qy(r5|reph2K{
z`mQ+|xQ*;Atez7_&d~>96nQBmTjp%kucblQ+PmyskJsS+{1+7QQfa(fbcAv=o(5a|
z*>f(Wh@fQyUn6dj!S3Z^-WR)RP$|@Abu>&AU5>WDloOT1>f2*t5+*dLCMtZ_go~l2
zqbsdvLLOxd8!MQ~G-&@%-e*2l9J{C7)g+HAB1?KJ*KSD~cu#7t+#)29%zP+4cUlS8
z9<Itxkfwp@id|76yA)P_Ey<P7P)6CJS$Q!E4YCh7Q2V^3k$zU)zM@(MFW3c~@UWvn
zg{sy4>^Ez1`^61wyuYa;7q>zE=WrTuJ__Cv?<tG1T-7C}3hF4?oE4yoG|;$xy5TEH
z9wTJJ?9<&f(8GPawOWb}^30%Hr>Ycitr4f`Y_2Aj$Y*|6IY)=YL#H-Yqauzv&u^L^
zAmh=3<V~IYdN9g*<AC^GC2TJhs?n2Lhb>7BA>VK7!P{Gn&&3LrF`>6ClWMJn17$4k
zcB_4|ukj9N=v5Uw;zwQacBA4}^Xhw>^$ftoDcV0MT@|M()LnabXyf`d!Vhxf3_;Ut
zD7qj?4gKmj=KR*wL0To>H&I0+;LvJ%AQ7pKKA#W$3u@OvP2n>?VvLO;x_B^Yi?0S|
zU;4L4T}Bt*zdf~(<!u7&8|~;Gpo!9NSm#@{busGb?6#I{Q;=*P&!1%{<B|U;V%y|&
zQT_L`2UY{?;jLmvXhk_0?<KNEa<=NA(Pz$9T_tm<bFmk7UQa>cr1p#zRvly!Z6i9}
zSNSsOQ~9Hif^LbSWUF6P3=xEep$iQ7{I}i2<tqgT<CgLvK?`X)S2yNt0buog@%ixV
zDsS#F+$f(YXqtZK=bBCcLFKKi8$VL;euAh__CHN5KEb8QVa$Z@ZzI$9Wl}KfSDxSS
zxH|UM&G}CyF+uwKnaE~k3bMaHCcytx6{VkP(QIBYVXK3{y^*tITx-U?u_#R$Kj^rU
z0;X1Zq~MU3fttAg)IHO?`xTL6VT)=zt0gGxktnX{(?EW!zed6tvgjo7tEp^>31`fH
z8&37ABV)_E?t}SK_@~|3lx>&^4?=In9&c2`@LIv5XG^Pl^!ui4!&)XJ%wAwQcU2Yl
ztn`^>ug=qP+N|F17$yuaZT{utuY&A}oiPU<3E=!$?czZTCS-^*U!)l-qiO~GdECN{
zLDDDKZcYL?nAqmVuq$CvsDaMiJa$y!J@z;w2jF<_Wmnt#3dqX>D_4wJur4u|Nmv8?
zmGzD|b4U(9m`BtYu`Lk?4PMU?T@1)Lpf^`-C4-wqLTl@~=LjDjmN!o%7;yJ`fW=i~
zX_V{@-ac0|L*%pFy4bSY0=na)O^!K9;<2Y@;*d2>$o9AvhUJ-qw784M!9;QNv1?e)
zvz{V2k2(?>BWBQ}z^zd5Qxw@>eBk?0I7zr9kk?k~n8Ad3^6rDH9>45#F2*Tik~pZf
zp!zIgJp`6q*y$s)2Dy3T<{z+55qmB*zG&$%1rTrF=-VTNdH;16-t3to?&&}3|D$XQ
zPc>*WN;Lwgy@{i8`@d=8_T4`>!Xiw7DLij7_Jt2`eF|tZ@|z(nH^;E~_ZdT>{o+2q
zO}uFDn7a18z+YnDWpHjYGlsM=g|ob4+{hcy6nScBj-Z_BjL5of1lyxCkJ_|xVTFyH
zC=M?Wg1R%WUJ4q4?L6sXK_4e3nfYf12rLoD%&z?xc*YP|K6CDVEysyRb!%97cdZcG
z*Xu<OP8mRxN9p|+DIC~2m+|z&APH@Dn!arEH-L#i(v>Gv4ph;z?Vr+O#pd6)s>8nN
z12dcCX+6V^rgfK;GZNVFpvv>{3_pEnGphQkHN=i|dR!mx96Kg+T1U!{>p{)&!jOv9
zvpLCTEB9$mG&|m-pn7sOFKE5t3#4(NkgnO~Jn2=gCA^=m<J5!4l-y<WWDacK_w9=Q
zD;^XZx#Z7zl@5JZmInj*IMKH$J?YqWK76xn4XD%Ua3%KUf2pOMSaIgUDcei|yfmqN
z%l;(|c-PxLyK;yN(Um;-u2cvcSuF40J4%Bq=K_8aTevYQOroQ9S{RQgnRQ)T-P<h*
zK5S{OJm}iWm9kA;1Qled&3m8e!cYCFyMr;jm|y$eEB1&eR!LRl`G)Jl9iiGcon3s`
z)w<n9y-N)5%Ri;78R~-A#RI`*8w9ZE&pA&S2MK)W>FDb8TL*d*!}p603gWjjX-n&e
zB~k6;JwEbT9Y|U1_we2>jPs6<DbClVG3l!Q?p<UZs4Wzc{;+wKYnl3ImxE;Ra`D+a
zd0({Qew^FsSvL`^J~J{<<tv9DYdnaRyV^k09II)J5k;A(UgMl71q^1Dr?y_!hQoA=
z*EUUJsB<AbL}x$|XB1ECT}ji17WEn1h}9gZYbnZ+D4>j7p}VKOSL^V<87gO_NFphD
z(39O!1^@2Jmkar+4Qb>T@y7D2p6b+|(wM7?JmVXS4%z8|YRvoQme#dcbE$sTVp$EX
zSMJ;}=+=R?asgSNFUn$y(k@Y|zXm?<V*IyYsS6bU_PK>4@>nAGr^xz~CO*yKUB6JF
z3lark$$<u|-dvu_T)T^ciZ7onnJ{UPFZNR8p@kCWVBy2*u61Zq@iFJ|k5xWa$F^8*
zRmNXy!~AYoQc;%d`+;_k4v*|B3MLP!pu^9e@z6qTOfQ<eJeZ*e->z!f4PI2mI5X)Q
zy>B{rPA;=?&ozDcxQE?7<h~jzXu0|1#OUIkw=+i!&;Yyyv+|9*)bY~x4yB2|x;S1k
zD%Hkn1Xrz!QonuIz|wuYl&3b+kkii-r&m3Y+se~4a!M0-{2T9A4X5Erm;Y2hcALPO
z3%feqzmd^?eetuL2pY~c?YuLveLZ9x>)(DFDd^~<ERelghewj`n)=ZU%3m38Yz|q6
zw$(f&`R}?|$1~C>=xqV7^;bmw*|c!^>dj_9M_ml3j_&dAW58&_`LljrT9`t0*wwwt
zwfND-Lps^3{vXJtHnGYr31K_(T|O$xzxb*uY{G<;d*v!GPHCaRAB*RbPbpZx$T%)b
zFoD^2tKbn$3uAa^1x0N%@t^HZD4|$_dUs}R#Qk+hE`Qe_k*kIQQRa4@rz~M}!sSrX
zKMI~V=@zm4p^S+?HB|g=TLM}A#5Ohw3Thb_jGkYwh)X=q>3bS1LC}Na!y67VUgO;0
zt-DnQg?6&*$y8awT#xgQFWnmWqm&V2bXEetk0@P<$g%{M@$)~7<J9r(ocvyHH4${E
zEb~~{X9@WYbvD9ktM3?giaL3YAITpE6n4s4f^&>h+3p$@yyg?<AKA%)+#@#4_RpE%
z_4USd&}L=ao^(4<P=SQ6nuLUR9%90bf-ry27e(A`k@<5=|180+ZrE^+hY5pUWG7`v
z3i#)Jti0EaapFt>^oAAy#7Db5)N_%=A}wJzk1t;dI>B0LZUn$AKb}4KQW^ylCib5Y
zenV`d+}rm13Iing9uylKk;LZ@KX=4L))RpjiWe%IEns|cLG_HWIFjPR6<sc;GVIpc
zn8Zz+LswjRKo(ULJ6?TMi*>1HgdXclj8->?_7V?&MW<EIHm9v^3`fRZ(!{d2hZ!gy
zW#%3;5yDxi6CdI?BEzj}us`kEdhlwX<eaAP<MLFfL7&KDMnF$8({#WT+)8VnO&sFE
zIgW<02>TKS?-jcy4|P)r-S#Fqd4&_}9=+P|A@(xS$*+<&ddvjKBlqSr``A%6L}FLV
zST%9Sm)ckN)EEM%!ftRZu%d)z%Jkm!XGAP_FY8TtWAHu`mRIk(%Juz?f_rPb2y^F{
z{P1ui_^i<D>pQqYBx)Vr+5h_;@mxA0m;a+7n7jP@Di*aw@On-sSM3-eY&R}yXj`r3
zofN?Z$1{tBelmBP+u^T-6nn(OsxkvGs+*fS+cQtxHkE&KniwW(lRG2M${GN-L1n_n
z({sdk-g<{aazBWV!97LCQuKk~Y|*m}`b%gY$Zrij|BJ}w=vMRN)CbEae2V*vXNg^7
zrTN?0eiOpMSZEuq2RWk#2kO?&5|rMnv-Rzhgx({KjVmj3FcDGjPiUPX?Ea<RYQH{B
z@Ex(sKNUlVMK!PVr=>GQmT`|+&xIMHCfhQpgqsc<ObR9_jWdMl(e9+H34aL_qS-7e
zjRvfDRAyy3X9*3zw{y(gdBQ8Xc*~pu4P@R9#h09%C2l7dTW;=JBra}@65zkD3)(z9
z&!Z&&5*MN!z0%Z|iIAu(#Wgm%pmjXLXyVIX!ngluYvC3W7K>{h5~|aIwy)j+-S6fI
z+J;%)Q^hRkqqdUucUl`hrE`sE&Ce6?@8L?L7#lt;vb3_((*})?PuYxZ7m4qY7m4Ck
zPoubsve3e)z-x3Wk>2u;IP$4q=A0cTe&-i19%|KsqNuYUl7g2BISa0^B`Iz^wR8Ma
zxq=p?6wNyLkxA$p<96w*ATQD|*m3I2ItX~N`*xf@3;OQgTj;FIk8NUZdaB<ja5yf|
z(RU9k4hW4l7e%k;!lr^(eXbNxcspz@b)60CQcE{A#R{Xv9=?>0H)Nowa<Yu@a-eJ^
zhyB69HCVs1gS+3245nxA7<y%LqLusj{ayP+ac6V2nD~Sy9KUdz*VUFA|CN~(FxbTL
z<*(<z8d5ZYp4d(qP~pXIy-U6CTP3h^j4$4cp$XlNTg@0+{HV*aWoqn^6n4CES8HF<
zfb(baMwa#qqR-}?&PE+;vEjf&%DUGY@arb=bjVK_|D10zby_2bkGsx~^VVrV^Su^Z
z<JvWN!=lhK>8t{lWk2!suh)QCP13dl>qJpJ@w<C~m=Z?FQQM#OX+V-jO#QZ6F`SRw
zHdGa<jOWjF_EV)ap}Ilk_47ap9RIabX*;_r*05CBT7+rBK!W-GeM~6~ObPODDo{gK
zRX+h^PBPGGEeuc7wHQ$zeXe+?1_~N@OUyQsq07+NC&5(~C#o({V-(5grDvn@^&tiF
zG)s*CUX#a%SEi;9EK;!K&(#}mzpjI*=4HySXhlraT`!yeMGL?3zbpE_g9<i&AM(~b
zQ^H$yej9eZ(8hJD+3!WfbfDp#2iFZ56+GzjFh<Qq7p)wpd;3#$VcB7i$7qBqre41D
zU%dql^EN*4WNBITtM3C+qTkdI-RbMo#OP@GWHDx0RS%d_ra`PbG;rPLg0{mi>A2HZ
zzx?HWeTaBxcM$%cciz-+3;O8cEv{e1I}aKH8SMgpDN-;nG3rIeb3F`j=NW#r!5B)5
zOAhxOT89I<y$RcA^l&eGA-|ucDI}PUnLp0fLcdd8U+X{U;p^hW!~dMkK<Jx%@`FMu
zPJQ^W_i~6H>Q3`Lv)gY0?>4<Y@b<Vi{;+>MDcVHGcJAQeCk6mk%RX&$+&Y+1+rI5z
z0}Z`Te>OCyFrhNO^h?}M9dylCVwXLpi;v`1xT85OVIX|F>2?<#bp9Dj%j%|L>j``L
zfF?^2F;h!(TCF2yA2GIj?`n?RJ+|Shixrsdz7;=kP#b%0niiy2s-tOYfTwtq6`a^>
z95xY2MO&%CUFYVM@pH}O)f|#FxO+E_m2A;MAyMg}Ct337+VFHGPs|#2-_T8a{(ZIX
zhR5l%`I0C+QkCDyVhxkm%O1UVCS$73%yDIl)f{uwdMu*D3S#1Y=1np+@NjOh52q3r
z-s-)PGkDqx=uJ&`wzQ~Wt@~{FmZAk>tFyq5!_rn@Bj9+c>xT-8tS#m_?lDA6+|+N-
zDYgXL1D+04L1pB>Ir}DPv5jH=#yu;XYzfDPEm}6Ndcbq<OmbY?C_`;)a#PJsCR`pb
zpyvFRMQg^N=%Z_98Fr*eb$8X(ylhvuB{V}CjaEi#PRajc?D{;W{&SVT9*(~{2Uq8!
zpX=9w$8-{8F&k_Zl>yH3dp++77sd2r^RmS`EU@G{TWz?R0ZkjOUwYpxjJJ0SW~YU)
zLX^LU;mjTj;QV9n#GT5Ip+^|wUY}Uu^<Ld7j!<*xZ)9t$<>SV0hXZ^>W>{fnW2t1w
zRWoo*XDf`GVZ#%AyQ8OHvVv(zgc!%O_25)~{$`*p36uBN99)TI1@pY8IadEnVcWaX
zjG~2kLL)rlm4^~5lz#7uyklYt5kgg}FQxtvh1JhbPE@df>hy!{6=zJKFMYt7uX2p=
z{^9+k)s_YHM_ylh{oELeo34c3-aACpm$Kfk93sJpo@9EGoG~m*-R>~e>?M?xny4ig
zNgx~lO8sz%5!~`rJD*nFM5stDUK6q>f!nKvA+a7qIBS!?t@6`dMs-A3pMe|+xFd_-
zP)rQrRdD*hiJ+GZ^Kre3C@vC2yB^9oP-p-fetPuy9qMDe{rUJ`86OEsMZ1j>g$*F`
zd|XDV_*X^(ch+O}btEXr3t`(As}GO(7mE~9Mi@4IoR3Z)Ab|m)zU9e+9>g4ux%#>4
zC!>nzVB=5&3B0%dOui7J2Yu>Gv^$04jM$%o@22%x;Lg6uqj|G*2(z2x3(%cpDC~GI
zcCd{FOvp_~eumLuCgRTGI+kh1@BXccQm0v=dE2Qy9&B_d;Qan-`S~A)uiKwX3(jo7
z{JX(<I)w%S{Zccn>9dT;+M?Y?8`wdXYoY$8A`Pr34rX%r%rWNHA2iqX-~e~>C`LWf
zg|Z#S-XE9?3^^NPjdNEyf$<@`Akk45;%-n*(rEt}v!#C%RF}9wVC00_!*@FHr<>pD
ziSaVyQLfME`UD<$&$QYmE~5kLYZRKLbx6?GuV(FJ!3X~X0096043}p-)_oMl?Y+s!
z-uH03hduwtC}l+&l&n;el~A;VN>rjKTT#hM$cp~I6c3q|kgTFoAuF;UZ?6~U#rd4;
zy3Y5fzoll}F-@@9sI0u{#0-xWZ?Vvo_(Aw_oZabq3hWK?zMOQO1;R0}0yaHCU|0l8
z9+IU%gkIezmO)l{{mG<94hg|v$Ya6JS2f_?x$6fzt=NHOvWuyMNd$TvKlfIwks*B5
zXJx&U0|w@={Z4Whh2s|bTl+4OA^TVSeEAtJ7;vFKy*VTXVtRIVhXu*7(fC4Na~lsd
z`ZT`&cTpVfKb{LIE+#>sp2JY9J|Dznu5*iRmxL>H7`AsMfv1cGC+B_vkd_j@EU&c{
za^}ZBl4MC>5&y}m+EEDjJl@?f+bIK%7iCo<W{Gf9ZqnhyEn#5nxWMHXCkNstL`u&P
z5mbYUcyfP<fJE=BS?O~M5YQ|oWBH8;#a6L7zdXd?<<oa-{Vj@6#Ph=!<0gTK<B8o)
zf44x-zObZJO=XDB$xLgoC&6m(gJ$O^67bS!x@qBw3W%LP5@cITf)Hk3PwE9J@I9(n
zH(;m+QPO)nhaJekr`&uzH$)l?E%m{ASRLMo*K+@p&;V|IH>>IEvJf15Y)$kI5q3Nt
zc^I~Z0!25bKi_PUht3qO#;iSL_<mj^J#3dIOnVBRT@zG<D*vQ2DO)LUsol_5pp6Qj
z9=+S4Z=(duY<Z232Q}e|xUEEZGY#yDrEa`SQijYeT}HV(X<+)qrY-y(9bOe539A`Z
zfqaUjxRnGQOpV-}OIWnv?PZDO4+d&bnVt4ny^9WMO_I-UyJ`dfW8FuC3F?q_eEZFk
z6AbvNd+Ra(kPf)HoC<LpCV=-|$AWt!3{ddCJ24xr2Ntq@W@QQ_=>Ic+JwjCrZuZsL
zJlbIZw|-oDt!YDs0})Cr;dCu<(oqomplk%sM@$0z_iBLV+pVmWH3p10i-;fPF@dR~
z2CPnp0#7)Ncrv3IQ0=Wh-#=vv%~a+qWnU@4%X43n@R|<c8Lm1D9sn<UeD#N&G(k(S
z&t2yw4YZ>R&%ZY?gEGIn&o4x2!t)I4or?>au<!MLyMxPSkU&29SKe0>&b{uTUE<Y%
zQDL?>^XcZmU@2*l=ibzLBP&FE2=G_e+PF;00{UcnIKFvM;KkF!pPz-Pf{M)D#^xXk
z&{d3)dLOC*SMK#*vKLT-oa6rMwK*0r?|RjH(w+?c!3Qs-oR$Ua7du|)7g|6`>v0$R
zzeHFVl`>jlNWi0`-!IkQwt(Fcp0uN<2tXNrYb$zM7?eBFPIh+-fJVzO({44mP@UBw
zRL=!LADlW*iC93)PFL$jB~{RFwZ9<zc?0w3Hk-IwZVvgwtCjl4l_B)&sMJ@E8O%7#
zX_udsIjrqE5m;NQ2=lM-U8Kt&u;V^Vq~iBxFi7Oc<Y!iZWsa5T2+9Y1?(y}1!Y*d;
z+ce4LFOmUV-6h2%b{to*n&e3y1klJ=4bFWm1z&G)-#qkj1~0B8ZVmDRnDtj@=BO8k
z-N`~vzO??u7u=*%ecxk{r2jQKj$I7i-#qt6=Hx&86+SEb`I{-YU0yW15-kitt-|+Y
zxt4K%om`&)CR5PgXMB+uC;*>sZ;a}-E#tz>>@lyEOn_%r$L^aM58Pej<4c@g#*O?t
zn|SPu;hxcr6Zg+@!2RdsO52=e+^W2lM!skSYSkCJ^d(q<b3VU7c4G-I{kr~YsM-*s
zT*SrB3NXR=c%>&VX$hBpa+u}6B?D+?DXdq1zKprAz<FE!fB5}c3Hn(x1Hdv<PvwpO
z#aMc$k`;{?asK?H*Ao-;Ax%eQZZUrb+b(*DJI`VP_hnyS${W>#m+~q@k2-&2^IusR
zQ7(UR#h>qFolW%MjJKO=r{*{8mo<mpqs#O7l;?W+z6@Ou$g~}_C>X*<AAebIYM;ZE
zqfFZOGU>uh$(^wQr*14D;feN`&K%A(<KQWJTnD!Hp6i=&Zo-tt6NH|kSv+F<-K%?h
zv>~SGUhf^de9VqFX7WqmEY22X9{<xy8*cWp#JNtE;@0Gij#$fC{O2#uwFmWDuwqQe
zhU<+u+uG!$F*b{D^S0_apr-{@)7$S&S9akMPmuXuk6FC;H&jnmFrf9@3b!P=2VV+u
z>E+L##Sgpn*?=wsxcH1tYngn;AI!?0dn`VO-!OjOp#6dl%$bcTwJakz+ksm)mx|`_
zKK$~T3JW^W`zv28+J41Nwv`)DeCKh4cB`_2P8ysgs9g)ZI)+=HHh&fA@E6bEb_!>A
zr-Ag}cD0BX-|>?ve5nsS7Vw*L?g}SHsjzP!%UavaIPNEvt0$hZh%0-)*l-o3LSkEd
zcLw7(E}_la+Q_zqN2X4Nx0`9g!eYavmzO8;4A)K#-pplOOXq9L(+CPwI<iSN&HlkH
z$84ec*edRj<4s(z(SXW7PY)!)3|>}JFC_1?jvIOeKCj&%L#)r~OG+8Dcst+g1wKb6
zR5T!PYkD)+g!r?!e-NC<*WgGG_YG!5TSPmaXOTcxP?7&!_Fw#O%?***Uo7a$#q1Q)
zKO&(1R|%547V+(cBfbax*ibEtUvQ)|5wf$I4L&L@;eKkOZTVX`&`pla`-?aM>h^f4
zNXxI_Gr23V^FKKe|C{ekW10jQ_@!K#zGDr4a6{HmW|A8XU2qqwc&H90<hJgEc^i0r
zxAl~pG9T(TGRvM+Q3uzfr53}|%;>05x|Um_03!04wHOww!OJACV^%RNC}5F56wDGr
zeW`l;{V+9<bIzm02(Y2mlhlbzVj@Vgdg8~W0aYLeE8G96XGa&Q#(CdML{V4W+3d2*
zs*r4&RIQN0iFnKkpIQWMK_@={XMNgO6&y8MO#h^DBlJmhzV4s|Vi5VIQdm^MGm`u*
zpo<sPANDu993q7#v(=bs{VI?tvGVt~p#b_4X3Ex5FOB8}espy<s(_C0q28cCA#`S~
zm43@m4lPZW)<-m}z$={na_ERKvJwgkdK;#IVsm#1Hhfcov%X4SKL(4U3cvYRmnRg_
zKgt*RkBX|WP#c=tOW1<ymHs@?xTuU4T1~x@E~$d-)%tyzY!XOzsL{P&Qx!EIB)cc`
zr~!xn9tTb?DOB=mdv4FN8rqTXcE|L!8t{G@dmg7PjhJg<zgmAGpj;oV&eAe<P&^~r
zwi+jkPIaF9IzB`~)r~<cFGmQ#K6fuLpIrg{QnPc3p3*=97Jlt7_L9I!BxXSQfFgPq
zvvx6qi;4<5y0mq-YJgP--?7+NN~obV@L+f%4LO|k{vE2T30J(`o&_4HppfUkO8D;4
z(OZqg@gL4KIH-{pZ~RgfJu5VOotnTv{lA)}KR451O)0N;)LI=Sf7(x2^w&Z!6(t+C
z`DuYqNpSJYJ_53jZ)prv*GA3XZZj0kbzo+i*(S)HgzhBvr|3P^Mpd0oHlf?~p!32d
zG|^2)`#stmbpC0h+4Skdr6&zQ?XrzX359|L1rA53E@&gYlCeR(Y9qL=>hGd_NE2;3
zOPVWN8y(C4TI$YY3OA2A^SbY&qA1>JxzY(OByv?kE`kKmnt5%{MGhKrR-Iy|4>8b>
zs(ZnDW@fPNFt8+TL_;~Xq60l==%_4dc-s+Eb9kK0G%{~VL&FC;;>vGPkyU1I^00&j
ztg_@*H7L?h#^8=8#&u+*9q_^DQlkYZY^6j!dO$_@PMi&r%2r2G=NUEp=9X}N;Z%-6
zp(aZCb7wT}m@<;Axc0sz-VzAU)@~DzP*Blb%g<>sa>&XhpM5UZ5>#D$7IQw6QF^`8
z_?aSclu|R2Y@c8WIvFc^tTH6jATcpPXBR~A+_{lfdn{pIe95Opn}BRRS)Gt83(Cnj
zA9`Wg0%Dm8UifRPA-3}m8U`h&@SUo!^qa0(z%A3AZI=lu2rZYI3FQBWE#SGle%ux?
zd$fQgE31SERsr|+oSDHE_q%wbi{>D8_4{5Y83p7k9_1&}xr))sbaoHTn8Eah?3)v=
zGKel(OpbZV0@0H=_2FSNxa5E0=<R2c=yAZW^0#l<!9h}x*xd_oVWpaM9JU~<cO@|<
ze>fqd?dyb|0|48xPp)(PBB+XRw{_8;8%D=nQtQ$&@UHv)eo<cl$?jrNDH7)a(NZa|
zga@X;b5tTjtB(tbhwsZ>@#BH5B~QL7KR1D1AKC3*3#{mV=B;-j!8~wJho?d3gE82e
zM_4CHZ{UCTWncKW+4En^0%x^Xjo>PETIn5S5ii*#s<>x{8wizSw@y%vKu%9t!Bk`#
z58r1XHIv8<&!aQ%O86N9<La4{aekwC+ZC_VF?4PazgX>k_L%{ERG)PqN_XKbl3SmZ
z_j7^L*5ZgC>-wO9O|zNLmts5y*q!`jE_jOKuHjDl5I#^Z$Q99pVS@IjlYF>fB=m~Q
zxu<%NR<$oR<>V;#CU~|@%$W<stV)^+h4rAh_i>2i&@XI;P3K77F)lEElJV$IxGos|
zcg#-h-85!<K!)@&l?ym@-fOJ>(1DN9nB}+0In3AjqjlOe7tD!RQBw};z#(C82GfTH
z?BHTwO@u!;EVi=6CU$E>sV(;f<r_=b(Vm`~7s5QC=t`~X+^r1_m?4Fku!`|n(V3%%
zcz`WRw9m9h3(TUg1sy3_$5dm(-pq9Kf?f8GnLalyxL_qWs+P<I4<A{*GFae)xP^iH
zxf2ZNQhizx`JNfBH?2^LEd;<@ERa-skpWsWO03DEtiW-Kj=g;;2xIf}ozjvFc<IG7
z8|umiG6N?)?^g)HZqtQip-MW~h1U43m$F0d;V!|*2g1;$e#gGag$^|dkMIF8PB2Kg
z^-H)w1c-wtHlkVSaN>r%U`9L_td-koN41GUzFb$@{c;*K-X8NWlH`G@_&$A6-Yr1V
zDB_FrrNJpo(cw7G3lSXy_a%>s!$<*^T2G)s$`_)bTr@u@TTkl$`62;z<QkDDgH&K6
z)hcrx6NJH`y~#7@q#%Tj>$07t!pNs<d&pHn5MvuHeB3}9vK#2TsbnhbHA-?6?GT0l
zQ9!Q02)7Q1kdy`b{^>5kX-(L>qq?kqNd%JGW7l}4<$>m)V%*)T32HUb8mUHNpc(4S
z(Ve3JVm7T@%SaQnRqL|<-Pr<(sr|~NCPk2rVp7=sUK500-CE+{lmM5pAG!23C7^9f
z&|qby!q#-|9aTw^pgwkHM0T4Bxc@!x9lMVTcM2TCO7*t_tKe?2_zYFpvf-&%*hPiI
zXIbgmOVSYU&3oCISsfnT)=a52q`_P<J%y=T7R>Jlzq=4bfL7zNwCi~^7&Bc?)o7N7
z8EvkuW1HMtv3Aq;hdLdkIBV-Sek#D5aponOD;Y3Euk2`|L(AC)qSvw_xMqcXDrnPy
z%<tZUe4895&%rrpC#np#PI(GjshUtz>vo)J^R7a+oN`rXs6Z|Cb@H2VD!8_OHt=`W
z24$y-!P`!%5O;A=@U;UCIwtR0Y6t6pwg7eb#3?nPQYW0b+i5`P8;cVu(1oPf-%qQq
ztHbv~_Dmfz9kQ+)=eVxvL0)i&W^F0~N_&mJHhR-x&*AfxjmHcik9ob9f0Li@B`GiF
zpQ6L@(R9pY)Nqpvx7qiGkibW$UA1{P9XdMq(58<W!?l2au>v||uspYFl)g@b*P>l{
z;S(nCGWfrSfp#*C$L%^?5lVv}3Vck~M=_Xs;v2$kpaDv@7ELa}RIt!Ut5iG!5E@=r
z>vvKEzTL>NuS%sr`3vd_&S3`hFEM8hoYH`tH+R#n29QB4#m8#PZ8IS4da?JPu?D37
zidphuA;PC18&@?BbBN58AO?4kA<R?wrG>8=tcE`f&_84js3!g-8;K0mRG*TxI%U}Q
z?o$0m%BCK}bEn^l1WTR!Mr#BWq5Ax>KY5$nC!*MH*yu=v3yNFL3s1{H)3SBQg9>wa
zolPHmPa=RwUdHDjeo6T1?d%biVGj1=_3C}!)gb2B3)*O+DCDfLc3%rHhi<#%-+ynY
z0%3f?Nm))1uBkVZJv7Z>Z)*K4k)Q&?XK3w@Ww>BaA&2sE*bE-!DHY7tDZyOhu1_bF
zSs)uad?;7Uz~buVzdTNgkcpihN!+`PeTZKO_^e_EtcFD`=SSorY}?AMY0Fs*Q*X(M
zd<ih2lX$a)Aq$>&3m8W4e_+X9inI6c1=y=z8$rw43bvKPrysxomR#KDY~F)Gi50^t
z!%z~&D;9>m>1`NmcZ-4t3kLfqI0BlNw!oQmReiN9&#=tzs%K|urf^k${U!65D3o@+
z{lv^j!wvEy{jCq1fZD-lB|DadVXpnzm((j|xV@*sRkJi>U=eu~dDB=3@((--sr;`3
zuQBmS*xzFWRt}#R2A%kUHbL8nd0v8-b?gmjl`w+-9dFEAF7ZGY=UwKIh6G%0Kt$=O
zn<2=l$9GMvZ|0s}(6N6%9%F;$VKR#a1`vFx$+EtQ9n^-H^^`4f47I(@zr3msWlK#7
z`?^`7)M?6b`s!OOs!BjaYqO6?=N{{oDzSjGK(~%6@dK7$`NZTyi5}c_xtiBh!~~Ii
z92?&5pD@qJ9|sHs^}s?|tS0pHI#y>~xZARG7~3<MNihu31@+{=rrobrvGrhgsL>w9
z7()K;#e+J~6#DDp8tV#H$6|EnY0`IWlxjr^u+af8fu{L|)FrIdrq`97=@&LV+mL#&
zUK^GJf3(M(`-fF?)FelrpTu4h6BC@Zw4prf?HcXjBKA9fhwaZR)0hoSrog6H3%<RW
z60s9l#5mZPe3A~#V$E)zO7dhaFei9#pDtU#3X+HKha1mhN0)z<pdtqJR>}OBy}5vm
z4P6@>qb^|E8%9DD84Q>VED;^gTEM*K=iP7V|HGb7{pQo%<jvn>B{AY73)uanG~N3L
zma!`IB74D#4o-sanNB(^VlAt$B{I`iu_t!RGVXmecv!nJeRFCNbDP|^a%62CGuft<
z5a>sPEZskT4{QEmMRK*dGH;lmd)O^OgN+7tXBsympDkh2Vx9xe3M>%Dl~svhRES1{
z_K`iy*eh4bnj<N!z`G%#R(4(!sB>Yp3B*;*r8~PbgvbteOg$|JUsE8K?e2zZ(Hd6B
z9(!$SfCIjs+o)U<rhp5d+6Oa_4eTCM)q~IqF8HS9m*M530ojLRsoHr=u#Nof{I7Bz
z5D}Ys5%eD!S~LVq-j_22%(#5_ALavom2JBoQOWRR#hdnega!Vwh~ZvFf)HOOeLnj>
z3F5k@I)y20aI^0DhVFMEu%436l9nSu!<zhI-gI^tI<i%&)<y)xMKzDHJ|e<ZZCN5l
z;e=jh<=U1mQ2;@Hu^>Yt96$d|`22S+2<m8Y;ybei&Ogs9C?6m|<uQBn4=p@!>$sV;
zo}~nIeoQ>>b&~*hBYt#T>*oV|)3+pMeJSu_QuaCINC4}^qhr!Cf}kf*CLz3Uvws&~
zy9}ul;GfskD)AN}xDx!uXEa9^^801B$A}SN_}l=Sse%Y({g!3h!><553yB{+wi2Lc
zci*6QvM6|s3L3|GDMD?m)-`sM%{jY8hule9V4#VWc&AGVZ25vZ5+VuUR_A(abVM8~
zqE1!^?N<SU>Ve&5KMAm(N9vkytt4c5hCU2fP=z;#bg`QAL{L{|`zKnx6++71yqzsn
zhl8)as9rHAL11~pk??*QfX}<Tv_gqco52njP08@{@ASC{MS0NPKP5k5M~0(qnel#S
zG~glOqRd940tENJVq&LJAbWY0V7y3yNNlycn^y@OjQ`|-C>0*mO;kL3MFkqgVST%Y
zGOVh_90?1ffyq*<b<Y$HhM2}%e2@wlHrzVhv!4z|JeT6<)EQt?`0y-+pax8XY<QI_
z19Gd|_w2i&1!R4tb&Di*IJ46^<wFkx$SscbSLJlTiLu!yi<|$!YOmFdhZeL|q&*w!
z(}gYC#!vP;lE5%Z#NV$*3y#(gr$|@nL)%?R0rq4vG+xB?Rz7OM>sgKSZ%Yk<`QV&j
zYqbU}NGep6Z2DaMo@lOX?Ph*D*how~qrgrx9%TtbEr=Wp58vKs3I{(|NVkP*!hbUl
z6THtbz%0|%_n-$rSk)o?`LZUwQgSP|^QFUf!5$9}J2RNHcyCvtPlZ|&<@9KA8Wcy4
zG|noRL%4K9sxgTQ)2ieKo=yM!=Wz6>_Xl$bxzZlZ+O7$;-S>IovWZ|McBS--n+32i
ztcS#uG$GelD$j3K6~-$EM_G{t99Kv@J3*m9>h2p8ymm_Pec0%f;DQD0CfuGE`A3F{
z(>{l3$7Ny4<c;h{7E2KSU|)4Qjsz<=(sIZT#Nq5}b)DHS3wRfjUzj;ffC(?_3vYsj
zpzhwdQ_V9AsK{&fs?}A8rxW4LxijogP;UO#!`%X^-BY%F^HBxP-p}bSyi1t&h0a}J
zOXi?Z%vI-`qzpIZs8!5~Uopd}UYU-|=J0pY=g{tYMaY}@n4WFbhCA`!esYf69I7Iu
zBh|*_fq7tC&RfUd_=Puy{}siWLBbPFt3LrUpx{?lP=4$$E*yXiQ#b#U^nAkgZK_gm
z<n%+sCo(IzM1|wqtjhrD1m#Qa0^%?=LkjGZ+rarHGq$*L0!W|jSa_)^3ZMGA^avwN
zD9b>=wO9&+1ACtZrpF3_=J(wE+=t9ae)z5=Mlpqe9j93{_4!~!I5*Xki3K^{6d3=$
z(*!b~tuR90aY7Jpo+^Ql1$}V*9#$A=4EphAKka*2f#4cLW{fbSxUbiaTW1-;bQ?iW
z#gYm7yMncECom(fUb_?fKN<qQU2!L_xQtD(_@$K-nUOWlr@mXv5WH&q6_ZZPW5q7>
zFFw>VA^wJP&gTaV;QG4zzQDpM>~H_ioOoL%bdtmsv;J5g{!1NXR>}E>9ZYi2i)!1z
z504)YuUyfCjkkLqTarIxEOerj@+Oa(oM3bW?bU<&kENQe&s#9JVvA<i8|!$?)FYdY
z3SD3d?K;`Kb1$~Cvd77VxQ;(hRPs0{r3-SCugQZ|P53oR>z7+|YxqIE$nDzEIv{qI
zZP=&qBVHF4`P=Z%8cuTm??=syHc<3LV_3O{@jYS;&my^XT#0tDq~BY6)Bh61p&g?*
zoG|lx7`={vQOWZ28_<IJH_W|b%|CE|59|3`@*8-nj<c_=vle7Is{Ofi`8Td4EVfiV
zw}F=uk{-DAF~Cuy$c=T&ADotal2#qbgz9XHb#AyafNANQ{ZWe<oQ?Ef;Z{{<G!sP^
zY96D5e1~-H_4!%+a*1Qu_aDs2QPH-M?Ia!YBpfF0<jvzp<=@w9yk$Wx$DgK~GSlJe
zyGQkvE(`cM;glfVc2?xHo2e}<nFgUUp=!NS|L{Y>#De%)Hgw?X%5(*V289VZuQPrv
z;a;|)Z<dTWP=#^KUcoz57&dJ`8U1bruXv<qaj%dQ9p86&n&+b?m`y}}nfkDX|1IuA
zZ5G^Us?|3+T}~5vqOS89FK*yghnzpyaq^;$S8~tAPEw#wDZkc7ff@Ox6%MK_@gYy8
z?N`2Ra?IpTZ*GZ$Ea=tkTk$0_f@qTG^hhj21MXcn@;F<<irjdO+S_V{Q1C_W_Gb^s
zpr&uT5-H1$!rDhlXIMqhh4`#7f*cuavpi~Pg&fFrmrLRJ2~l)S;ZMT%hnu}1Jyce4
zfD2JZl`Q7w#Snc_$xPgc1b;HdNC&7qs6PK+@A3QM2$v45lp7{OKaF}LQG*W&+z3-E
zJtc|8K0dH3yiJ5>pEO?m-YbBv7fn)C1Gb{T#Zw-Y2Z&&qwO=%DzYx0g(o>uNwhY=G
zHG1`qE)lwue#?($3ZpwaAFG9o$swIo@&zUm5#~Sb{ynrIf<kK253!ahpf}f}WYzVF
z(4dwm>TppE&6QX#1#&B)^)H|E%e;xOEi^!VN>&_2$0eS~JEM#gjycJ6mlNR&&%gy3
zlt6m)C<*Ni74&0{<>?L*2?|Pg-i>-Gg%H;bx#@H@logye=iE+$@(qoS$OdVYt6S1q
zWJ^Gz#74!A&3)>fJAA_Lr!4B@?ESIEPeO;!t_goC)qu{*pE6ET3aGMUsOfh<8S#vK
z5C67Cfwy<K8ZmoCG}W=d`>=?DRIG?}r(0C$(aW-2N>oC2u`N2<5meNAb$0@16%AhA
zurnfkRYqnRJj;q1G$b3<pvBrjhm-sHw?`YPqWc%yen$Gy(SrZn<7xpd$WT}-Nl8^h
zj)cxMDK!S-pgwdt7p@KWlP>(OTTn-@cZFBC;0*LY)ZxPjpDxh!ZIrleiHI%ZeL*u-
z3mKn^-DA|K2Re4wWcDSJ(Bi+h?IwO&X!M~)y+MWnD3}iLhSZahfBK7K0-Jhvi%s%_
zSR;tOH(PVQNdx&?x4!IE*Fw%aZf`w!!34NnOHb~9KtbC&10O7>G0^$-4WqUI3<d{N
zsZLg!D5iv4JmC!;UCL4#{gemr^~?^v$s$eUOwXI+&!?eF0i3p!i)QdY00030{|uLh
zJJxL&hV7lb=WB0XdxYO@hNL2yNkk=4LW_nKA!JteNQs8>8R2;nvLe|dB|=n4k^S{2
zT*q<W*Lj^0Pqe<qb*f-SwPjVR`zm-me)!5wBNM1*p`@29P{BSdx7~Ha74a2|9b<<v
z6F7b*y|__H1?LJ}V-Ay&!yBJ}`z_d;0&jS<UW&gmem&k5L{%h((b0$rnnF{6+c##W
z{FE?y)ObxoQXKPmvFxgBGlltfs=5+YMLcfR6LB?M2y>i_&~a`zg}&ntmfm7{95_{7
zSV-o<=ZD|UvOF>c*=WOjZ$&vg<)At@@PifG`K%w}IBg0iZXOh7ydr~Djou{g4AbC|
z^}o*)cuj#qTwMBltrVWq&P;1N{})j*XUTIsGXd-Oen(IKk-!X*MRvA|Q^>c{^$_j9
zyzJAPUUxLaarJdu3CHPbVt@P|>x3p_*u^zSqFNWlrJVDu$^l;qVdPGB++z&K7Hltu
zJQc#EbZyJs6-z{(;0Co`8$ii<X~*a!ejK4<e)4Ab3UMYQWzN(F;3xO+nqMIgmdGk}
zNjkbtNJ*!#H5C%TXP036d!7?($b|*&FW)3y*H1rPs5FAL@cWU2r`d64$)C&nH@ArB
zF1K=q_lA%glo4)Y!GiDAjZA0X+$OS4Ge=(jWdLQo90R7}47e3JLC%eB!hKA#%tpij
zevDaPk~mI-9}j!-1aNN?(GOkUS{&F7F7Yi5?2MFH{FvjH0?#dCD0K1ybDTbuy-Mv&
z<=jNQCRqo>V>XGN7dMV7zSDya>v$u|S1ZUd_GAs${S87v>)o^(uO9r0A*A<jE}<Lr
z17F(9)(N!-M-G;I>q2DXyN$QE=MmHI_4<_dHG+!Ncv|C?4m>J~)?E>tLhIXd$|2i-
ziEwYDPhPw_VB*vpnL;^=hMY1r#`gau%#N|I&4y@$B=;@l*t9Mr`uFA^@upRxd}cWG
z!k8A&^>IcdhQ2@t?=y3<A6+G4pBMgkXQ2fTp6v^;!Ow}Eze52glB<M}USax+N=?Xo
zzV{G)RvVGtd!RFnbCu}ScZpb)(}YEbg>W;^K4K~Sw%dyGDiMFwDl#BX0~o_<dzcQ6
z5*f`?6|o_!gq{*Uuqvbhx>vd*D?WZEZeHI1^T+p9Vy*huyMX)Z&@HShhd)gcEgDs{
zL&<*$zZ%o44WjDc?T)lB*G&`ibJscqeb$H*2P*mB6{`VPZ&G6H^>2iZ;XMxQyH4Eg
zqS_NnR)fIo29qqE@5IsYr&1#M8w6`pSj<!d890djR}#MeB)(`qe=y0kMMS+}(d|1x
zhLzvD&0G2w2{Rhq2dbspMAYAxCks1O;cM(k7jc7Mg!!ORUmH-s*%1FjmD?&H!boo3
zc(zQur9FM0!<rKA&ScU|>Zrg~^YOu9oj=5$nD;6TfmGo2adme0MP(5D?#QUtzd~FX
z@zk8HqlWZ3x!6&p1Z-c`TQ4O1CF=fmQ?Dq{0tHXM%RH+Rq&>=s)AU{^;<MEPauFT0
z-l(N4_Ev<{Kv!v&W1GamQ!mt(!Wcknp_b91Ndf52yV!L{{k!9s$7B0XF~J#HHx+k9
z1<+BSZZP$ufJKW~ipx<fu$+F`!tlO4#N3<QXZ(~BQnh=PV+UAa@2K|A1a5f{>Q`HN
z!b%M>5@~rCpRvP-7+x0kOgXSl4}Wqqfd-;&8?qX>Ibq!A?tv#Va-c?<j$cus1CxEb
z_ZHpbf)InF@1tJJLhNLyv-1i)9QGUiGi=5KvR+YxKTpX*$AQz=jAt0Zt%LQVJTD)J
zI%Tlk6qf~#@bUIQS{9JL<2!efLjYv_)aeZ8WFV!EOY_qqR;Uzyn{Yx;2!h@^upViV
zfgOoH_ijISX!Nbv-J2u=jyx(3xz#eTmvn(^se=RTY6x+rT_iYfdb?Y@Nd|@$(b)wn
zE|@stm3jNLI9#naa{ByT23DObRfcD|A*Zq7W7?DiBnSD<E^5m{@kbuj>{4E^yjnH1
z`=S)=mD#IztV9+l?AitvlK8=Ar9W(1S_V$tXx`svDhCv2+C=2C1wn$}L6H8tEJU8?
z^G)NFhX7IgUe5Qzz!E#_+Wl4@+@@o1#t15afpvOqt-Kg8RZ(`0yi|nV5r-r6UWzcO
z+Gum9j|3jAt)<;%%J5{^U%hZy3C^8Ap0^_{0l$37q^$?4&};l%{!On6v`Jk{mAWYj
zWo6%nDLTn8K~k||jv_-v*IfVVZz<qQcj0TURs*>yo1=5@)SxacHe2Vk3@9Jv|0$NN
z4z;#yzEkEJU|2H93sbUS<(+R$xmN=O6hp3Le%FL|34^MOPV&GS*f3x*ssRl{vnwV@
z8&V^iC`+&c>~@KbIH;`&Od|1Y^3}Q!#Ol4vn?niyJS^*(I-m&$4>Nz1>(U3IwI8uU
zpbXL(=X9*ZHQ^@rHt(I^2Jnu;mx^qx0;0o3^BMp8;%$wOgr5)rX~Ns{>Wr#j+N!ld
z(Wwqwr8mEeX9DaorZTTjPz7jz+S2jw|8Kbkb2KIz!+%$9l^$tP1sZ;%_%1Cn(E87M
zh@3Wovu4@ULFKAIb}>mg#HkE*v98akB}_p+UcPh?RKY)*9CF!H9*P+Rv(7v*h2!V@
zedNPc;M+awk+BGA2t1Tu$+yc47^xD^;}B(-tF>Ara>XGui*>NZ&<vJSwR1IPmB8=P
zN9yvILLh3+Db#CX20@~m{P%JcAl)zi8uKG=&|*8`C@gLUM<2G*Cw-HHvAnD14^vp6
z=|`A&^SCKU8>G)z@W=wYj)eQ14<%4f>ynGZO@UJ_ek(^s8t#eA_CHQoAVfJ0>Y}(z
zfs$6>N06~3P#pKz^2+fd<~mb0Gc!!!w~MO3jFUJ-_&8t6*Zzj8wNqDQxJ^L$Ofxxq
zMHJ+xgZ~Z$ub}4!9qgwQjKQWrbHU3?2qIkhydF<%A?{@@@eDd+kYW7Bm_xx2k=~^F
z(p*aHS#`hW=M4ZCAr3m$er`YqE_VBeP~%MdsHUG30Cmjz(vPM%V5G}OFDH)%FQg^)
zFES87>f%2x>d6W{$DN0k%xH1fVXY6p1dM=cJdTwrh!F&NIyEOFY4MXeB0xmT5DxVD
z-pbmb0fVtN|Cgb(_>!D>Gq@N)XGy-k-!cUl&5CxsHKoNbMW=j!#Owy!7zNkqhwH@W
z?Gu&aKWOlIdO6k<tPhK&mgZr~zX_U^;5QpLX|QN<P+%H`K8y#hh}*vXP6)MY-g6?+
z;DX@e^e&cqu;<CQM&_U|M2%~~p+rQDYs@*A4`k><_7|yq+prJBVF{yxHa}{-yL$J~
z@9#P=>oipL$uW;OMRfrODpTWf`H13vOC4xx6{IS1Z$rk{EwwUesc};r&!farZ4lhO
zck|BAVYELhO;P(V6_ymM+TYEg4MtO6Mwb74L7NVBol*4EIIMkY$M&igz{kX7eg9eX
z#v_5Gq(zODy|%0S7c^m5dDNux;tyncS#bMII5jS{>%>|<no#ulNDm|L61rz6d&6Oo
z8ppbEhwYvC_fJ1+XR>XVQJ2vZhn{ORSd~UScGE)x3WaYQRR{b*=2e~4U23#==EN4O
z&R2C9^Fr)K;j2h`o-neer^9Zo=H5$Z)S=O3GdSS(8md#5VLd@fk8Ku<m*qFqpa`+e
zZ{OcQ6Uh&fg8uEM8ve&FGx2I**83RCRcs-B8NY#zlZ;rYEAf-Aq#7{IdH!k}+(D`1
z3I|(;nQ-0ldLf;ET>kjdjq26E9o5LR!8aMqf=`7dFVVP@VNx)lt67T*Q|NihmJ+Nu
zPvT(Pdnz(m3O#)*d7c_~<Vkgn3$x=GYZ<LFXH|GRf;i`!XmCiWgGZzW2d=oLl-N+M
z0;w8d@@gt{m|$SAcK7DQ(pgvY6D3uk<l6&NjtYAGtG=vI>LnLu9kF@0bx#@m8m%3l
z+cV<WTJ-yoI1di`^b~WGltEF^#n+sd8IwJBa(kch;>h=f>fA4t!2CP=F#8q@=GYE0
zNc7;x@+N_2E;uQ{5Z68dZ)P^k(pyf~q$P-J1!gk0{_)+Ty5yN{0XsH&<K#`K31bc0
zki3dvMYztQqsu(Nfm<bVt?nNZ#StSv&;6}cgxzXJ%}Ekm*yqyP_1gzX*hElLDydQt
zY?lohFUE3XPw!J9&2i$mrBL;7L8l@V47FGQ3oriNz4ClxR07v`7QAVuRsueK>P+o2
zKI{<run2(^cGljNMRimOoH$hjeS8J*=nh=ks+Pu$(-DR5zbJvDn1%VJJwlj%>p|dq
z6ImP)ZhCE3sxoxcRTQO|ir_wpoRoc|a@aGP=hMsu6*#f^(nrBv4AXfzZCPGbz_Qo9
zqhF<{f^43n#%wzYKbG;J5|B~CMw#@Zej#MYdHSelds!UkNVIagbtvN=+w;$a&D3D-
zibmH-IZ2!$)Zo>2ToqTu^Ayl({o|GVSv_BGDLmr)u`KR986OOqUe2)AfT$);vU`a%
zmX{m*7A~QNEfsk)Eu%ES^VPG4+;1}2!G_1at4a+kYy7#OF{K5Z54DA_%E;j{zmUC-
zit4zNXX;z+aUE!5{AzFFD36B|9A6FuspBn0s|qre9&jtRJhKT>z?rt!4Nk?Y;}ZUf
zi+3yaVf%5J)&5{bEE`RyWqDd1KboYB%n3Gt(szs3A0AY~QW58rGFa5{g<X<USlbB7
zDi$|KDU|W!sISY4{%ZI}XQR&O{6Bvw*O-#HqKq&4AIn!sCS#HD3vrj;07O33-Jz{j
z#?++_V<W#+aN$!0W$7?ukd5qcU8q*Z$)DQ4CLUM9HEAx6Z-q@jee&FVPOvim&3j60
zU(CN8(+t6(*(Ts}KeHfUQ3;0?<P~%O^So9z&j6lH6A+{3rah*lgk91NLY_NI;=-Nm
zy>>dL@auy>(ias)?B|n|s0bu{@5sv4Py0>5Ocqz3+>yum>CwK_iGo;I!(>3f(iD1l
z+OLd0ki!MDWs<A(JoxH_`=1g?Q;6Lx-oLCOi!b$S%U@++$3GH3)of3jz^EyEUS_^D
zj<eYq$v30Nc9*RLr_)V<ZuBm-BZCzFZSv#;Yv2yD?6bYjrfUKQFZR~`JS~CE5;s<4
z`hTH-w91QbyNqE;D3Xb>kAwq9%kO?BO`wW-e7xD+7|2vlYK3o$;=F@3&p4;=qi3&T
zoO$N~{!8f!)kqb>FFY4s$CC$%*G2<cA|U{_dy>A<Hu7V-|DKN;cT5oxF88<dC;{@`
zasOBp=EamAADXR<=7}+9CTI~MAcF5tz4=2feALXc+th!7KwZnc=M0VD4C8RzU2hJ2
ziF|qgp6Nv*)<OTGnU^61iA^Oam9k=2{{+KW_a)*8XRlIAq5*uRUCFpT&xDmfe>?Hf
zdWmQ=>Gza+vm35D?cA%6qsQ$LhrG{rFA|RpEne7d>4Ou=x_v5&25Y_hbz6#Qk!Vtk
zmLeJHgQ@P%M{a$TxUZpcDM02YAvBsMyC+HyoRk%pwkNice&&<i%Nz5=OdooA@q;el
zXo~m4rR&Il&DCnN;u~>(XuH5mS{DvDr|g8Ste`83X%T6jGlW!of<{f44)l0Bc^t1^
zMu$6oY)lA!C6G~AuIi{Zq<aS`MolfEi!ZM6sLy{Pc(ORHA`G=5FnC6f^3!*8LgTH)
z@1f6xoBll0g(5AmRcN;e%$`MyQfo))`acqa9|N~~*|cDm>9Jtb;uH${7|L8?K0<hw
zr7fPkrU`dwKSnUUoj@1rm%cF44H9RX)!r~JYXD~fddff=M`zVY(G@&>#AHfi#cf{=
zVBI<#A$oZjjRq&DC<OKp@oh{mdjD~acCKemF1#O=h52mhsdf>2S7ZmOj;q73z3$c%
zqz~v~%>CE-RP6-g^TJl)88v9SVCir?q6^LR-(u%H)Ix+&uzODXsR3_S0M}Mg8`7`g
zpSa8ah7b<fuw4H`249an{+{S&WV6L^#>gBKGj@^>iEuKIbqi0a?`lMCGlsgUIj@L=
zA?JSOaFD^7_O6~hG@vN1x+yy6Dq_D?p%1mCD%20go!aM6gT9o_NESSJLFllNKNJP3
zfP8xg!>m>%l2$I}$q9Z&aOf;`{Vh-idLbQqfj7@ly>@P&*XhSZ_OY7lgF{L{$9LFf
zu&ErWioI!2dG>(#S?TU2$gKqX>bIzGu0KTSjb%DCxdnt9^OkbfAw?MbP)k)$QH*@2
zrtS10hq&RvU8j3b0Ump2(7paIA6ZI0I9_g$NnBqS+~}N=hrq5NpK8h+<bOJ0bz@fw
zu`A1OR9jOXQvHqlY!dIHuS8L`r%VEIjK0y-Aw~|aAA7Lc`!fwOwli!#caI_>I}_;`
zCS+mmCOb)I=MGw|D3URh3L~;}dxunw{&~n-+2gH6NvN{n{RvmObA<Q46{{z?GGHmj
zBK0#V0g1YH3+OI56V;v9>bz-X;L6ax+s03BAv24HdskGfkY1$UQM~|ZSlS||uHJ}2
zM+)m^jxC))HLE+ayFN<6S^ay0s=uPq5B6_Y`PGAvP1AZuv#k_djt?VEe2YQ}ZoAVj
zQidYCWm27GlO!BgQvn61D74maow=d)1~Q$b5(_nyghH}I#B<dsba~Qw>~drj;_2D$
zu&9-QP{X8RIiD!hDfXv-%sdvkbf33K(w6{c4^fXV%TXw3?GaUlNCIkIBh^5IIE;NB
z@4V6*jdZA$%c*ZCAvMMFB`_C<v=LpWbjldSc*8r;=;0ltlzhnTayJPc9?9U(3ynoO
zJ?B)dzosH3>)M?GHxfA9PN;fl7Ki$xy+^lfGEik*%~JTtKhLz5@iul%K*pinhkR%5
zqV_)LpH`G&@IFG}j?bG!#I`{8+^Wk$FH+;qjVOzPW^1xm4J4y>9l9Gu1G%V>K6%$J
z4-ptH(kzI3cL$Bgce4J?$wv$3FT7r52*Z|_aoMxDR5V!&)Az3yBJ$<vf8#(1)&!JZ
z9KDu~o_O42`<z&e>}xMgukZ@Nltt*TnDR`d<&@&MG*p5PrB`_yxC_GUzA5|9Lidrd
zd;7I4k5be&eni*5Q~>PjOfSyA&qgmhP5r%9%2B8U&v)Mqeo(#V7{Tb9hurc?^$tis
zL)rbD>l_F9K|)pY*(h%Tid$=;-1F%<$`eU#G=0nmL!rV!MazXqUqrUpp#246qnwPH
zVB~|`tjt{%v=30h1qI3<^OZ=;cQfFfA1`!J+fDtodx(zx8lbJWu110;%NOQ)dBDD<
ze^UBODU$3W<#+$6MZ45ALxl+*i1wehc~M)AnveeF6!}<>)E*9~TR!22#ZP3h>w(XZ
z*_uXJOA<z&WDR9|ac;26bj;JzszC4dht|e=HlhqU+7Zc2E_fnX&t0wX64{Lo51%~M
zgro)oV)Hq<K)I)6Y|80B6cc2kpZ&N61&$s%|1yaaC|`{|+uKr&thwHw5h1rBa%&Ve
z=i~&&0N)|g%de2i(lw!%+Z~AhSXc&;!2w@M#jDg|4Tw`fq)>p=ja+>$Dkq3>0GY4L
zYkVFf@2WaKhW$NgpTXvs;A3{+x}A8_wY?E3P2bLWW890X21HB;^w_~Tr6{lVQxh7s
zcE0K6-;a8%j<vgGu)*)FcbR_bZ;_>;?U%CAL3CQ{^K04Hte{XIp<L3|hW<_-e(I4t
zf==O!_P-W)0c9{lVQ6_L`WjoF&X)NR8SNY@E0);>(Z0$KE7RS`>c20K%R)aRCdWV2
zWKR|#6X%Qsa1RnUDDR^3_=5EJi=;#qG6Thp+-8%;UgTht+Q}6<g~ndTwCB$;!SbcV
z#{Con=;#}>Zv}(X=rh0HaEuNU1XR_{x!f2+_bv|YGrjx`S<t`Bu)4(v5-Dsf&ih6Y
ze}#YFS-<ZnytVts&KCyY%a_s8I5UpM1dkLyu3A9D$4(3m8Z$uF{MD6ne?B8Q4%(o-
zFP0Ehe4Qdk2|dh~_kQh|{eoP3O^zotE~C_#3(hoL^kDpi^6M<`S2Q=rPjAk?f)rL=
z9OR<uU@64=eOvSlYVCbo`?c^ddQ>w&FGxuTaR!I?n8O^}+q^IMP1FXmW97PA97zk+
z<C~{RHa}3$euhJeXd5MFt8;$fpoO^jXbv8iMdZg(MnNc3;!_K(GYgMsKujS%xXkz$
zg3q#}#cI?zpX<EnV_O=yZpZuZkLPc6=i{Acy60(ezESsIaVi=xKdyDIxoHI%4u0Sf
zTBFAS?g6rtZ>b@chj>}-zlOZq*0?k~m~cI@^7%m?HSj40PV70giRco&BzFJWg>&Bt
zdD*5=Lv`+W>qz|$>a({ZPrPEs+lwo&%!{aj;WI0P|0_z&!*Pv9^aUq=gR`l~Bh-)@
zlbrIkn;NGk2MC5vabv^O?tsIFG*H?k7ga1lhp8BHe3=jP;TTEREv6wF2>E%YJgt@i
zfA}NFrO7IYbL{*L#j0qbm{LPZGnW}}#rl1`%O!%{GUI#B&C!9Wx|s6qAy!=GX7MpZ
zn}jV6-(pUUVt^v)+5;In9C$P47OOqG1pX^h9B?y_3EEkMvbVLkaNj!ZRck>hOeIbq
zoanR*u2FSc()jUUwNa(tC5L5jRb++W&6Dh)k+|t8FwTeT)C?q^w8&w_dkzCi_c-C~
zE3&(5k|3t{mfN8BRm4T6=PNZ`c;M7b`Gmp0%CryUyvl5(f;;}R@l9>!2d09gExKd>
ze9uoH`gjf*uP1Dkv26(h{pBYoR3!fGVdhD@Wo32TuOER3PI0JDPk5F}D}@yqN^U)D
z*1*)?<FDqEr9eXZ$E{!n8N4F3@Or^n3*T5tXMH^{3$Lcvk5oy^;mJ=&cGyR?F<qQD
z_a8eY5L6NV?|_2>{&s!9bWBqhUrul3o2w$juLvdW>Nq8Q^=Z23n5`aWGZk=9&ewo<
zpQin;)u>>e5dFrZyY%sYKhAoYk86Xy#;eEzZ!%soXrU^x*T)`g)+Z&7{`00QcK`7^
zsNt_>13U-l^)c-}_MhgAMxgIY^)*#g9Vbagoa^M)!w=ZvBo{^jTy@$^y(`tRO!BTz
zq#zx<cIM;-+FTPT{OJ6KnpFdLJbV#Yt)zuBSVzR0wag%QJ;oqbOapg57;cz4td32N
zZ%q}(nnS<R!qD23I<^f8B=c&j;JcO0c51N}aFxrkU(j70pJDJ(`E4tU|0+JdJ)y7%
z{4YM}%Scqir2BW0<$Ork^7MKAz5aVZ&z|wj>2NZR&pkY&_>>DzRz%#2bln3&bOnrF
zQ7ZUhXn*(AksZ`halL(kVh`M6lPPhjQ^a|zuV?DEzYwl$yWbd|wE%_H=IDpba=7A6
z{cL^#Eu61A@gU-rIk0537wf%}##!R+GOr>y;A}(qO`2shIJeGY?DawdI~4ABewW1y
zv*Mg5en^@D?*ZdJ#p_~NMp>Jp)m{)j1&@DQa5RO1&fZHw9|dr$RH5qGX<?Xaj54{B
zW&*0R<2-c9+*qb05ge06fhDbH*7~zCoLK&<L~p}}r}7#*EaJq#fNyJrUEdf?J%w}Z
zOzE(v=A=O~B?*i|sE+X#0_e;KrKNFhqO{kXBQ<O!@N%j(c`XPa;UKks%5x4`F#qoT
zxh)1-c{k{n2m-D%%8r%4iXleyqg&3_h=E_4zTAMP5j@5JDa^Ug684k~ToT8`;0_VN
z7<%6jq#oU?u$f*VRJpZSlBmUCyf3fiz>ERBGyV>D^eG^&t0%a)R21eddQZ@p8Gz{g
z+JR?bG%#JFF?sojC@>6MYfO8(8+;=9=?3;Pz>$bcRy!n7;4Y4Qen@UNY>O?C9=%|O
z;uH#@u)iX(=JB7zc$q%TnFTe@HL}7jKH+4_X%VnYa$Ds#(1-g@3*Jg^*x~7O+SiZg
zM1XtAB1fQK4~B;#3%hAJ0nC+yXX!-Y#au$1@dZ5?lP`=ZRpf#sW{RIV`l4Xt8?4GE
zp$D&W_;{}yaD&mFha(50M1jUeqeh`$7wV;At|ji~fi;{Xp))NCDeK<#u1UHuZ-2w&
zo)RypHycG*x`{zz-ihi6dtG4g&;B#V$p`dj787l!#o(OPhTUCJT@c>pHFsO$gRiyy
z#pjJl&=O3!r)WtB{65^RIoi$-hXsrtnPrlI=E?1bnob>{Ft4Yf$rFJ0ZhKW4S4fa1
zQbWJ?R0n#KsvfML7lb!6>XSRJ;xL$f>{85q9q6p`>&x0B1RgU^qZ=*aV3~I0<efwv
z$O-dJTM!b4G=q?uENux`dU=H1Bwhz5PQ4Z@SrP`B<%z1Nk0ih#x5x=6>p=Y?j+Ac`
zf#mm<gVUmt;L4%qNzT)O69P-`k_tp2Ri!h0FjW#h1!ea>uF?S$BCN73ObiNpk1eh-
zN`Zp%=W(MU9mtxn=ciI8fxE6!?xRpC=pDRHH$|xnIvXv~r|**>c*9p$c3ujk_77BC
z)6|7TzRRnLjN<T$5Le2wmxkLfU0;p{=z{qmZ)it|IGhPNypQx!8seR6KNh^ug~_5P
z$mNSTaG1*!y=Ibu^&50Q-F9>V3Re=2?3IB30RRC1{}h*bI8^Wd#*?BXWt+{6*~c29
zX3Q`%H!8_q(vBjfXfL#(qNq@$LM0I&p@p<+PqL=SmXtMGMD#_<@BIFKuIF6W`<(MU
zulsdJ435XgE*0RaPwvdki^VWX@il9@!GXEvH&Oa&0lsZgv74ML#`GJcXHV6+IJCoU
z%>0P}Wjl+9ET>8E#rH(~P#_nEAC_E7{~$oyY&Ch$776@3)8m|<a#3%;eR*7$042`F
zy>IFyc(hcr_R@47BDHQQbrSn$9_FS+$*hp9-14*3jR(Wr*Bie-65!nBQt{y|D}3(F
z`BNCpL$sTfk=F?Uj#Qi38qTnWf_Z$$#ydO=*wmi!oiD)j*WRmYcUr?$a`*1EMjoDZ
zEqrjbmyZ_DZhrGSYrLM%Skd>L2U^Km2bTkUoCwyKadnmyA#7j$b3;6o-+aAu<R1^4
zj=L|q6DEa2Y@FzM9}m0pO1cZT^I*Pzo8WG#6u;{oqBniu;m*)GQExpLNp87)hm~cR
z8{Nft^?--rG~53c&Eev-F72wBl?+4uSr^=5d0;BtDlUrVAjfI#sFtq`K^Y$}-uK`^
zWhhLQ*UZK>)d$w)2W8lsS)AWDgNNDUp2mlb*x=_I8_$lFp()!tK!y08f{VYLvktIe
zIy1J;@01LiI8UZI2XJw}Y+v`<Y$j|Y|MosQCc}=_(0^nVF05*5vPahGVpq>$LHRBj
z?v<YU)SAJ;sdjr!Q&R>!R4vxYJ!SCWo=W0caqzQoc5vWKIvR_XYYogI=4mynTUW)#
zikuO>jZ<~-`^lx6H)B#zMi$0s`>=6Ew6<N3PQxTu$2IlOrO2IlA}FJug@mG1t7(g<
zSWiK|@)0S9d`i049buvP!EDFo1PYP^w;K7%q?j3dV0{dgg_-N@`dUWFz{V<h=Pzq)
zT~fy1;>Sc3J?eAsJ~9#(1}_ZDw8jj}Zw=)ab#b0~&NhNdM$*yTQf&`wTyC^d{L;=q
zeSmV{hZ+)+vYtFXIKdk6@_~KQxeToSecV_%gM>k|-@n4IS>fxkI(3yqI!?v>Y4{dP
z!k;~JCe|*s!qxSyT8kCvI1$$0yx|lHU3Q6z><LzIlD3w29MC~etwp+X4hbKPIxi?*
zlOSx+H*Bqn4yuAPdV(8BnAS~SIc=E)bul58)>$;HFgTT1P9ww1j=?FOBmrrK(c}^j
z8WuRT&XH~-WAyXI%EUr3zDT!v7;Dmy>{WdHT|F6_oNKQsZ4kq~<NJlfZB+QE8A`L=
zD46n7I2KM9V^6lv`_gArTrs{d*wsiumv)I$P@N@SG4IrL7En=tgKAN}gNmB*%A(n)
zEfLs%ackjiD$c%HIGjqO;i(00X!a6IbeZ(i6-ue_+DzJ>`-X;?ThCqJP%I%Cm1dmi
zrQ(`KM72|*4us(&%eS<PAlkazaXNzre^OdNl^-2n#EKz71tQ#xyC5_5ros4By*R{%
zflgx^Ytv{E%nkoICElQ+OTn%o+&~wDlht-=uNNVdSv>M~rVd#DeV?pMX9E8;Mk4G*
z81K~kx+_cv&QV_mCaJQZwme_<-b{p~$)=A7|LCB7;pD?+vBWvj>Ds-6ErQ0Oz{L+D
z=@_2z(7Z{L4UY*IybGzsJpcI7bUFi-Dq+hcscblB#^ntW>+80E&R_C~f$5?@BLM;q
z#8aL6qB$a5ppHd_ZPtatX~t#mn;bZZOeQ|G5F!4@nCV3h6V5BcpMSIBV$y#V<7Lhw
zWPBb_jBaD%KgG?QhcCFeRD1AR*ESJ!Vt#oHd$90!jdYd!A|4*@qiis`Ai~#0LFKs*
zSg2pKM^UAm2Mx*VCl}s|FmmkDl@mNR)G4>FvgY$4Wjf#Gt6QQoBiAM;mW`t;sz+}Y
z@nIh}+#S8#5(_tzj*Jhpv1G^j(=QkTTpt;#+>~vJRWV&5Th?)KJn{;bgb1*(hkQsj
zK@3~-Jl6Bq9K;2`v0V8=fb~8+3ukXJe&;XVP&A8+!nS)=UE=~Qn<=Tue<8+{O&_-n
zoZ#Y@QQHm!13geq>bWj5m7u{@;y~%*f}@$^7%kJo{x{LB?=MJTG~r}_iHL{CNz$;p
z#QJ=_)`(U$E2zxQ%DocKL$c*og;ISzM6ne~ufwfi_BGSh_c0H4<3o|+F#%Sxx)hrG
zt#B+WOIAC;!_CM0nQHe0c%d`}i+rr1WVkB*3zd(c>}KX0Zvh<DK5k!7W{uI;mCjEr
z_z1a{u6VYe4}mb+bBYPU=kB7%H|2b6Su-bL(l$P(vkYoKMN5%Yzca^O%E$IaSGpxF
zJa`^_oo4?*icMQH_JtS|-#u|SrQC{#l=m}Yzi?&9YO4vJKb?;O$JgqYW4Z8st9>Hh
zo8WMGDWCa?hwWAE*6j@(aMT;FloNc`Es7t!k;%izhy0pG1_uXso!ne}LxxvJ&BR?^
zJlr@;?W!brsUCm1#QCKRdKVRI+EjViW$iiRdj<=%=tbJ`6*7c2y0?tnAkLX_X@YkX
z6Dy5|Y?@1C=o8iJUvc8%VfSfvbcilI*h(Hx3uRF6?5f-PnS&F3r&SaT7?>oSuz2!W
z8FEi<{Pk}e2gzymBiH(LK>jt~K7NY~4yGB=17mC)p0Pghay1PtG5hBFTg#xdF7jMw
z6dPrOqaLQ^RN~(LPDxQ9_)qur^_|HE$ER$dy`6$NLjtnXV=4My<j?<<%)-;@qqdi6
z6f7N*2A$p`Me?DRS%rEm<X=Cu<JML(P8J!PAJUg%E&X%otZhszj_y0t(MCc;&xkVj
zy){nT8GIEd>%z<HR`sQwB%CbR<r@@k4ddZASGH9%@MAbGW1K~TT5`gF3-zs$F!c;=
zi#h}9had0g>CuMgP}Y{1Dl7cl^Yv}aS~~11R<B@HYJ+#?R_gDaR*0Q!xvBMu4#sK*
zj67d!gZa7I9#kuYgipNZV5S2V{&8n<i#Ap+RsXB<Sb|sT#pyc;Ud8%X9t=|^VY+gh
z_qX*DIM3o*)!NXId7oVIeE|tE?S*|oY7%s%sQ!N3K}EOL$cHt_Bs9){|4Hqh7{7eN
zGW^a{@l5H^&nFYe$Vgo9Wxl@{VuwMsT5l>U8%E!;LdlptD*fLfk{CChB}|!ONrk~z
zRozPyDL7noyw0r5lJJ5xpS##peC%D;zay1`_Xmz96-8JgZN^!?J%fsM^_#*w=Ti~8
z{#Sd5)Dn&(8J7kOs3<i$aM<}D6|2q^=`{Zpq5jdaq-=XCJf6>dHT5M8e+O<z@mvJi
z3Tu1j9xCEOE)DEGuY<!u$FEL{6@eT5;rt{bFYFB^X=8ioV00c#xa=jub^jaM{}gHX
zaYw1CWg`PY*X{*um@C5Xe?^q+bu>(5+o`W0d?P(&*Zt=jB0L!Rv^<f>l@}$ljN|@H
zY?rJ5Vf;@BH&$7Zy|WIwMuww=5*AcPd%IfNgt+H4yjj$sgJH)F{p((`;Hjt<w&}eP
zidMOoUv8sgnR3>8O%FDF{S;I5-wKg^aBqZ^!~j#;_;G6|8!e8>e?y4<ZfU#TSG{83
zQ%YLbz7P)jW7mJa-7ZAq`^MGLM|5$nAm^WkDi;oZeFLVWLfq0c>t5!_#QObv-gI8%
z;+lW!Ekl|J@2r?F4@_s_*0TOxA*MV8Z~BS`I}vWbDTq=GCA@_kH=Fa22c3d9=RJZ&
zSnb`hE2x_VpJkiWXV~$P!JX)xRw%-k(HrENWo#_`xa@`9Gd}8Wo4Ta@5h3nj^a}mg
zY>=Yg>t~1rAosMT{d2TLUBr?QcL@hWOZ@7_(gc{MY@D_%(-H?~W-8Cj;b7%9%la7v
zKabcjD<&$7LCc#ho<ZiKpzc9l#sWRG8`)0L-zLV~IqK&-!?<{m@?%lTK|Q$a9&)(b
zDu(k%J1<&07az3D5){()@Pb#nFvvp!1UIfSmh<3fe>u$Xx*kT>1Z0(0ND#6$<4E#p
z9v)nuoc}UI4|Bd=>DRNj!pis!@4h$lU_hDEJQSgad9MmH@}F8^Sju1Ug5Y*G^<bPI
zF;Bkh0m)X0HSQbt27g$@hrUkc9QOeMj4oJy54cWnz}$X5dkY`kv!?zyA0<F?YW#&u
zx>8IIwW%pQ#3$}Gqy6C|0a{WW#yL?^XpU=&MvwCGbuCR)Lp(R;`gX*iLkbsWqtyk%
z@1^^#Qi5OcaK>zvs;)=|&doKO&-(Ilt&d{zT%Cu%j&G0V9FQTU<b#E|gm|9qPNBPV
z@v`Sp(yJmFOpx+=@<cvJ7ES#O!rNae*tk9YEJMC1y?&7Je7n1!R_`ii!~J94R>?mZ
zmfT+?=Lhg0IeKKxUBZ8VEX%rKs47RM#lV{1Dm-kQ&VJ=)z(UEj+S!fM<T!tU5jvF4
z#ob;vkLy*sAV)@@diPg`ji)b9tug1KH}<@~>Kfww8qCjcYm*__DL2FMAqQXb=<&`I
z>G<@mNcG<X83vU<3QcV|cr%axmideZ4MxpJS&R%G6Q|FzdCtZ!w<7X_OH>Sn7an`(
zB15Ia{7IJc*!Yp5vL-Wy0uxr7+n|aJk9kcAw}|_;);;OPvb$u2z8ksONN|2#<!<S0
z2Nvw!F2DJ5h=jdoy-yZykwPm|Lgu6~;X~#bJX=BnCGV7THbsh8MS4rr@93g)YrJE2
zjW+&<9RF1E$Qs?v{u(Zg3}`Q2sTs0G8&O_QmZ`0?#?!+s!&j#;Fn0I)w0?bUY`B&E
zb%UZcT1M7RxVV6h=^Gbo=8S70efM`-_7y8=q%ZsuNciZ}i=T4%{aQ%beCJ}EofUFv
zVWTR)X!vK`n%ee93mY;ygB9%(%w0W_YvD`7(CoBn0lL~~y=OA--w_Gk4N`6gby9Kh
zW08)>GHvV${&k>0PlB_>n=CZ;QsHQO_xSQmZPZ_3MQp1O<CBWw^(6#{?JI63EhKWm
z&siDQcZ!iW@k!RaW(utT$|JP*lVGo*SNfSDMrNwUnU*XHTH{U{S5GA4Wu~)WSGgrh
z6s;{L9wqkAbXQ1ECgbw=QfAeDOR%+6r$vQO&|x(@^qnmQhH<Q74|9S8gGTyh`zdg*
z+!S6sO2L+^yE8U_6Jf#5X~V^*h&)JL)>8VEisd;{+dbDr$UEQe+Ig1(`=M=5{Ld1-
z?DmUC4O>Mp7_drN+E2j&HEGh+eL7ed+FLv<7GX5NRd`oI1&3BKixEgi^^j_(R7Hf^
zZN0<S6RFsId6VtG00w+cn6WiJ6I`8u|J4(@;uGe#r+=p|>~Fheetsl`wFxckX$TGa
zJ0q*9(M;r*A4;NS2ys49eMP^54)$wo@fQ(Ze9+N*h4CpN#*FtZ`#|K4&8>O#6<=8R
zkTQEmRFn|^t^FWxm(wxxp>WVVoQ>VD{&goE5n}p1Czi`EIu=<!Zu&$cdi2moYUyzy
z0<z-t?F$%~OTRIB=^YMKmNfi6kSfH{6s}&~L0ve>`(G{b;Nog`XN<-jA$T6fb#)$0
z3@IJ8+4hr*#O7-aHO)e}9@wWfM)XkKhuY36F+8Zh<&6&#-{EuH>%FT^vJm8(q2t2j
zgLS<5cIrIB^C$cx<tVa&=azrw<`Z1Gxj|fhOoTI^jL!G&W8=fO!Pl{K1kgX-SG%TO
zg#H=!E)#~>h&TUxYW%tYxl_J4Dw$cL*;+&CdJyqG)p<o)x_Yon`V%&f=xZ7&-ICM}
z4mM_g9CF#OhaAI-S3Z9&v3SML`|iuRu#JeCFD%u=s=jFv8wk#8mTsA9`-+PdnZXOT
zjqAa0L=Y_K6=PK*?_w2^Ti+e((;J!kcqe~#-#9>m;Lz3?Zt*;Hj<9Vm>*=F2#U`}!
zs{|_>CX-m*JjgEwl=y1vBWQB9jbNJ<)I}QnOmjYz3l1Ni{{U7%slP=J&Ht75=?_|=
zHp@!py`4|wx8AiWX?h^NO%(jM+Zw;UgT03?^Ks{#T?Rv{hrI_)e+3R$W5PMr54O+w
zAbZ9~Tzevb?z_I%@{Lk7#7wI6ttB}8OOG38EWlo}<e5^P6budC)5pa6{;AfsZio4(
z&vPoM70U1+f7@sE7knIL7R0HR@}O(<{@&Pe8Ei%S+Je&gaEyMWwDKPp(pjm+>~}J}
zYdq*~L-c`1j>@4NLoVu1?k=+-IQ;PZYIS!LKGw6ertEX&p!|N}_J<a7L>{^>C?I-5
zQ`yqgy*t>rNM6^z#7T~sH%?1lhVdX+I<!&aEDM3JgZuQC%E5^`9l|2<@M9Lq`+Wox
z%%$YSTP|{3c<?3ZIKlZ<tm~PlyBKgxeowk3mP6=T^6jgDi#N&le)bdIT0x!K%p=Qj
zc}7}@Fq7c?0c~02Fbx^156$O(k-=hRZTea!2d4gGXR7n4Fpbx6Gs>4CZPISP<!9N5
zh}e+ee1w9p(lQ6{O@z;{iF4{xV-xdcFFkgEjCY=k+l_T)I6_j%Z$8RG|2)+KGs0Kr
zPF;Gar%Z~-z*QP~iY!z-?l>ZE(uR|#>D~|9rMRPcw)~Vb6O}*OOes=r1WCVM5^G8E
z_U4cEZ!~lvaa}a|+EXo<6pZ&X3alZkwO?go#DLoZ<^Rt3Ye8+{L#0?(Ypfef2oGFL
zhkt`m3_~qk2ov?}?zKYK+VV5Q(K?v<^8TLRDq84CQdiA6LioJS`^aB!|Ns4urHm<Q
zp=;D?LXWN$hT1i2Elp_H@RQqmiLQnGX6b(|_avC~NWIWMl?szRxgEBPw9u!Qd7JGi
zLEA3U>Mp{Q|7Vb~!#`FF+FF-PF(}3p$6?XnEed*E4t3{uYoSuwH2H3#7!%$k+|F7>
zK~#cDdzXhcKGpGq|B1wCpCH^bN~Rz+DF5tutv1d*+Px&=qa|1hrH`w+$%u~9H=eP9
zgip6rr~P-#61$3Aw1>*bVDD{@a#kTj*m?I@lh6{sr~7>|drC&NYEH$BN5pgf@$W-=
zL`XL1SZz)0SMk@acospyuVwd7cBK)1&e_Z;?<6BaoE+ZaLB*SQb?Qggh%mId-1dYf
z1<Vw7*_e=q6(a>_A2UTDDLq(hw1k2yXCs5o=;^@O_ten;x`pt@=t{Q?3TW<(jk5)G
zC_VaSnNlQ#wB@A9B_%52BmQ2nGiM<9VCEn42_c$y7nI!&rJ}K;@C(mT7h0Z6w|?3v
z1gX-i$KWp&6~52orV@Q_y4{GzCTAfIb>Ddv8Bg>Ai#Em|R~C%kawpA_2(jJps{T9+
z9bB@|v}yXrf_AV=Q@W`TJ9n<VSl*$7we!EEwx49fWzECkc_u=1=-f68$e^Q%SG&#B
zoP$VTrfrN+h-0&kI4#=Fzy>E*WD&i4$5dBp$3h|0Y-5x6EYiiqn*5g&!U><vJeYca
zy$}-WE%Iv<CYl#7d3I00!zJe2=^IZ9(f{AXN4wNm_-XAx*DmKl_0R=xizh;yINZ~k
z9?io27_%zsW<G9A^%-{fC&bFI%RHqiY*_WJmM0SasX@xVdDmWq)}pWH5{|K<v9#_A
z?Ti2edC{JJsUj@jN=l-uaG*cuxPmrK4-00aRbfnooqk<zF2^}=Z_4m{9j}KIdxPuM
z{4Mc4^Kk7g6)x`8kERFy)<Z?bk>IjMOX#imaHk-Oi({b*<)Vf9m@u@QWacTx-^owj
zUi{0&rhw|vh{O80;rTuPSECr&rY`)vAc9u~E81H!_2Ibjn<T<l0{6t}%BpodY!Nu$
z66fi|<Q(tp_)iJu-Q*tsGMkV7{KfI(XZ2zEs3L4xxD`6nJm2ppd^^&8s{fqz`WWhw
z{FKeG#^Jnm-*sQ|(R0(!{<M}p_62IyEljb-`te0hZo_==P6^+oT-Af?bj$c*wiE_w
zPd8T51laTLxAs-K9^68lmNleFvEjFzlWHVDyYUZNeTV=BCBsusY0Gf@TN{O9Nc5lf
zn)#GRd{hnSR4E*kVZ6X`=#RDldJ*Y&#`<{3iHW?lv_Xc^XXOq4eSF||n)L+@9$rR?
zDcW2)Y_)23v=s3%X<ENmAi?=H$ueb&HF9+C3yoV4#7Aa<tE!SU2UmYpe$$AO<3r*{
zw{}h9e}_9<`RB++k9ywB=nHb(d1-OME|-Te$9a0Uy;z{^bBd|GBFAhe^F)y)(E}}1
zGnf6;MSfKnJMp|6UO$$rJ-)|9U;fVrZ$%7D`kd=|Crpl_0lM`t;q!W2llW4?cOFz}
zk%N}W!K=#Mp>~ynx4Tbg{-n{6{*9cW&XI$A{<Nl{HU~;I>I&tLD8%{Rr@|n52ji!W
z<GMp^tdBNx%0EhmPpOhjGf4)8n9ce(`&j5T?b_A0hXnt|>N9(6WzeSVU))Q~Jt?oQ
z=J^S2@OP!F7I#Yl%`G1{USXoY`0AhDQZ1axU%ztUQ7LS~z2>MS=)%ux<`hqY&lTA%
z#XcM<v<qFmWN{4S#r`=Ee_a!OXZ(2P_pLG0WD;MHOvex}SgXNP6F=2m7L*g5kBLt(
zjkv7?Bb)YdYh6u@cwDmA?I67UbpFD^HX1zs1{xMCYQoa%`1Xk*R(QSKd2J1chP;tZ
zla-S-Q9KZtDO9z>ich<;)AmsDB(i$GAzKr($l6wZmn8@nt=7x=NaUPSYOLQ<O`Ngr
zQ{h-j@HqDUCON_FPI{s|AWaiq_qOc)-y1P_3j7a8zL6ng>MtpopoPe&#~Zx^#i)OD
z?$F-TWQ?b~+lzN=;cInsZ<&f1ZD&gVC_0moHQE-OKc)rejUE+OaxGEC(uwZVAtOh{
z<hU$J8;`rqYg`sv;`84B>5ly)!AfZFVQ53bU5~~0W)b)OM2I}_Bhi<1V)lmCjgfFN
z>Y?)G91)&-G8*PhAY*x53H3=S8S+7wQ&YV}cyM1kw246m-`O=ejNtTF>pgX^Ng|Zm
z=udNSA!B%a(e0u*Dm-jMIren~&t0Z`6Q3e-W$)H{)fgId-n}}~dtQh&)L5Qp7a4ww
zL#lZRI+zhO=OCNl;gokxk@KA?2+WABJe@<wV8GNcFOd-Uv~IWNz9e!X%00iPnt_rJ
zm&jCgAriw%J&atbn07NMPBf8;^X|!Yl>>7@yUwZc?4e@ia!%7O77GSt_7DGln2W}q
z!K^z8G^m(VcWfYfr1~|(d9&WkMOA01_j6|*nCX08VYihH*G1dQ+A8K^fpG8L_ar)Y
z@IJ;HFgUn7|B+|LySWHI_I1qU2OX2Ne(+VQI0)tirw(?^#c(9~VcS~<a+FRMrVyOJ
zIw6DMsvv|#)m)9H=eh`dbKl9+f(L_U>I$xb5asXoJSch0#M#R?>03K^pcl^>s#+}s
z-$KBQUB|)=%^w|gr}*$0YwbuP`oflL0S=RTSXggb+Bruoz_?)g*-KxD+<{BGknq2I
zy=7Ad>jm)nd}BoiM0mvMP5v>)2J3!}8aC@8S7*@DB$HTIXgE@Kl!H6F=;5TFddNO{
ztW-tY68&dpdO@9w(}Leap1%6nIhqvoJkAoYUC!USc$V<_MLjc`p6bJ%8_>N}OAOoV
zE%Vf=JoNg18ap|~051xPhPGT5LpghFJS%~RXroiV&dxDFf%(1Z8|O-3*OHLtGntPE
zDZWmjb_SrHU8~|yB|+f*&l(nid@LU}6bmg3&}_9Ott!9@Pxj<GvP$@v#t#qNH_-q(
zZ%>l<OtwbIyg^+%bpf3A&OG$^hCV{S&+v-9XpN8aq87I~3UFdx_Vd*;eW)$XRdg|z
zV%(wm>!Do&gkJKcq~+@2MwtD~@5NHk_xZ+*L<=yR`81*IuK-1^uV_zYG89G{91lHC
zc)xqwoJn&9*r;uhu;P{shHaIP(}+CSVLY>5?#YLyzr*Nxk{mmOClwxa7a+KBphw-G
zhkWKpb#;IoF9KDnlSl#_8GkkLKmZrI^eJA?a^%R|VLY{^l#jfrBO!O!bMS1wE$2al
z9L2k*`sM}jVN1z<Kjh6u`Rqx4QNQF!QPMAdG|Iz{iHn*H*07L>q$PoW<T&8eHcjIo
z53<5NxKEs~U>dKI+b@TW@@h`&5Epcx!cS@)bl_U&+9!2#l<)Tn2=^oAkYB&>gRO&}
z=*#gJh<Wa9Ypn39;9z&<0_KTBRCLWyqB?AsV=ik*q1BXwrq8AQ`BN##G>B$wF_I(i
zi)5<%DK=J43YL}JBSFQpXv4E68LplC9o05K%;%kLuac+@e;?kB-{CS$Ii6~h=*dD1
z>C1mv=d@tV)LoIolwqFXiOlu;nFzf$A*ZiI6DPfXX05v`h1)ERrx~8Q;EX9mMl&?=
ze*gdg|Nj)1c{o&WAI6n^XNH-v8^$ciIx}`|{mNDmN(f1aBuSBqR$Elc5{eQ<p=66z
zm8DWqXc3jA(ng9bS>Ad7J=gbou5+H}IiLG;SA{rOC9Jf<3{yuj&sqh;HeGpzc?1+w
zpRHfpXNhh3`!*$Um7!IWXenn&Kw-Lf)Soa*l=-H=2b8d$Ak=zlK^FEi`vUx?Eg)Su
zZpQIdgtgo3wg&^UIDgOK>#jr#2wxj_jybM?)|k-hHG{H9JK5heN3=jql<&-=E(+$o
zMqeoK)|r?$x?Xs}9KL1|TP_(;P$-u7N|H^0uk}C6DI;^lDBAhBULZrS#hY*A0RpOr
z7uzN^n_;@@Q~x^_89V;`XR&X9fQMznZ(6*~&=oKeWYkK630)y{u@@1=8BcO)e@wx&
z>}#OyAz^u|xN7?V5wGifgM?0)LMFvjdfQSGR7R~f{E3%CYKY9}Q$16hHCWnqON|7|
zPM24ey7KsRfHB$q(gf$T#SN-uNho?i?Tq>^kEo(ww()ySkTr6wZ-PvM)bevaPj8Yi
z)>Y`L$udFP6&Pt5kziwxv^O}9jFW^r!?a#5CUz-i4Q(JHY0bXZi;hyzy;sfab0!x}
zG5f1~&Xd3`Q@9qAqJS>VLxt_`T+C#?xqW?{1Xf2QBREG9ab!DBX9X^%D*KB_>&fVe
z4)}VjP6=K7LK|Lv;vgtLH|$0y89oyu6Qm(!gr{Hh7--<2%`WpW{3vivdtb({t_r0$
zajk!{IMDX0<ao_c@NntOmye-pXy^a><J2AwF7bQN&y^@Z%{EOV)L$KC-ruF1LpTs-
zj}4y>QiS&U-%W31skn7|>FW9o97Njnm%lbv0%Jk`#{NfCv{uP>Zr;d2pNoaWd0Ax~
zuj^d2<*)`)S^C63;k@~iG%2HbWt7#e%inCP34<Sp+<zu;pw#eTPtKGI3Qqr_2ri-_
zIjUo}|1t+F#P(E{EU2RN@Ncz*MjF(cM?0K*IEcEwPIX2^9X78WqTj`7;qf&0!&x#H
zukWQi8_HHk{}@;I3YQLjBHe@%z=eTu_LFob6{3m!Uu}o!=m{^{_PK$JtJ0N`&u>#P
z{daWPr4tOu=QE9FRZZ~ZO28LuHx1ae-!nYTVxp0cVM92{JKxCAH*Q}v@H0Bp?|c;#
z2^EIkdD5ovbF5Tfu}2fvBUD!EGg#<YnIl}AYl?+sdYu-cG*kxqgj618VNa+aA4|^+
z^H$Tcgi|z7MDP8mYGUC^e%T@4HZyciIY{Iav>-WNeVFitH{ViU?-^l^Z8vYO%uCh+
z6xE*7hFO?DyW9C8*#f1TQkFH3X<^^y`%_<<S#Ud9tn>T61!zZz)n8Z85oA$xM{hq1
zuQfa#{oP`T$tY2ysZ2Un3+yaxCbCd=*>6#uv=v_Dx4c$rqvK}qTFqlenDDT2Jta_K
zg_J0-)9pX#cx>1%lhDb4jhj|htBp16Rh(aqP0_KiG;u`>KLeY_aD&urjiIEZlCBXt
zmMa{c3{{}xPfn+guelBO{%Nyud`^d%3t4=Ff)?x=>1{FjHuz|jns)It9kt3QmKpN)
z>C(*;^^bqppr>!f<st9=hkSR~w~T1uj8!u25)qKwS9D|QyB6;F4&EVkP?5GH#?+Ax
zm@BnUitW*Y|G(jquT|<08`S)?Q4a{pTQs9IMZ;u&(^ow+HBbjqcH8R$>8EilGlYhQ
zF6+Zpnkr!QE-pT*4)iUYZjgAc36bPW4_7TwLR0!L+pprl$?C`+V;xN#O8711=%av7
zS;W{w?`<%~zj~(OkOqEimk6}3C1b^^vysB5ZJ_khztG|}6~7KxoYJu%;pS%Z_iq2$
zz|l(gr-2R??$@@=o*tFM!^Y(oTt8Xk`(4YBj|bF|tDm3N`jUw7_RWR8@z%Jqn0BzN
zMh(7egc`;N2}n$cy;dP>jeNz{p!yxESo_s+bsCj`OM2mXp69F(AF(cbipP1sWR>CI
z6j^v(TYBG~WrdivJAY3pDPw4MUT}`W<8$wWq+6AiIPiFPN2|CJUY|*_&3q<<t#YcP
zZCp#NIDSiVURn`Pwp8W>7Rw-ObxldwZ412AdK&(Or2w&rmLIiwGB7*0OJwU(3lzB=
z_L%pg;KIrZjlUH#m|yd1*TKi;DDSIQQ7R<kcIA@mkKV~(ZKu~qdpC1@JuPFmVS$7_
zE}6$=G-M%_C9Z1UXNG{UJ^GzHN$~x7J$fQu7V;TOrvGj+L&npOLu(e1py}YW>(eh;
zlm@Q*_~4%@UiJz%UnrJ`+A-gxjA#NLCkGfxrkf&V>+N5Ge)14(st_EPBBC;MBh`p$
z3ehynjT}9BEH-};V$wi_wyCY-(Iyjw%6pezBFe*_I^6wmryR_7`1fxOGC}iv&K^f8
zdAxeGu4##_JR;W!-7pk4LAfaVcBP6uN^H-M>8p~^EZp_UsE&(cl%?f6d2@x=Uo>72
zC*!6_xbO2|E@tW3*V(bW{J8Hg9VJSETkxFeW)&_Dk7w)TG|3}(P%Jiwtbnjw>i1wC
z-<*4Exz3s-tQe4+65}djZH0=JbpZ#(p55CevPc*f+TU^`PzfOduFAoo9DE<Jdyu9;
zMt&5*e^-$*gkFT``de~v-)*n%(MmGzrhGs0cT5GcCjX>wkU7wwK795z@4V&=Sk&7t
zYWOBS?mqvIjS+g*olZFgh+BRZ;P+EUjm4#*7hl=X{jsfed%ptm{w+B4D^jt&{`AkT
zel|AkPq$OMrwISx6=`?-s9+_YT(~yG#`te$|H=v_B=BGUcJZPHj~`|3Qh(S`Xse*1
zOc@4we=GeWHR1iXWj<GugMY#IcS+T&Kq(`^Z<7rT&W!=Xf7u+Ax5v1ge5r~<nJc%v
zmDIv$xWoF}yzkw?s-vu*Rzu18AN!B?XhE&iNhZ9U1J#|Y{;kbY$GzECl#ds9{8?Bi
z4xi(|AUHMC*ocao15QT<HZia$)h2D)hl{10)-HjUR7lo2W?L#UaZ{_Ng4D*v^!kPv
z*C-9NJ(PD?{(y;ZaaAhG_9mb=UWp2k(}c6^WRi?03wbKOS&c7DaK!kOrhhf>d4-8(
z@@p2(6-efGhnV7nW2(7=GY!oL`$dmiYGb-1`oK<cGmLAP5S9<n5c=fkO|8S)5SuM}
z)^o!Q!V>L|BEq#W-l0J+DbdD<Q1XV(FmtdL(j%mPYQa|^)o0?8HZDnQm}{U}ploW7
z)k!}(zNy+AzY(vE$K}W36F*qsVE>(UvG?c@b)m_fSfUMLi=pAi980)lRjrPcWZ(ml
zZnV6bg{H?9(Ppc7+^C9^*lfpuqgb8bcNrG`6`1e+J!J*QI7_dKAq;HkJ$L=H0~6Q&
zIgK62vBu!P-A><kFhKI%xb~YL0~F?)wp^wS#PULY_Xje-UG(5g=Q=v5`njH7mu&FI
z-u9fO6$4k?U;6Db<MI1i$!wJ{u*vAift)#BPW1$3xrotVyUdj+Xb6Puw=O<^i4LE^
z-YJV08aTf>p{&puxKgBe^OqSNpIByE<SZ&;AI5tH_yg*yhl~mvw9pf_N^_f!I$|c9
zr=o*_w6jlb44Axp?5-%^=B<j+|GEWzHuC0I?iAUaOvB>mtuIUzl#wJmYx2w$SX?ot
zX4R(&KJ^D9rE?0HV4feVH3gnZ*R8tE(!`o&%X5vSC@}56u1X~X$6PCdK5y5+g-psP
z2Nx0&9mAiv_uAlq_KmcHS}L4{!Wxe}l*6}ssUf{_HZTyu<LnuAQ1!e{^n?*1^XS`E
zVR;+eG_SW?x|HWLPDfk%><K7c`MKz0ku~n?>!#<ZsA22*wR~b8vdEmAAF|W6##O$G
zA$pSvMow1+if76|n(s=*@HHzuQH#6lx>p&$rd;pv&r9QlLdGW;SmA!y^Haskm9SIw
zedKP2G{`K)<vCX^L7AE~RMAqz5&iy^o%vGWYYe_9qHBqnn0jkdB?Sb!^3@#jmcj|{
zMESwX7LY8WJzQW?FiYEJX1h)b{qm3XpEE45ZWDi}q6-->WhyS=xD@6S6CdW5n4{y(
z;|+bsNLXr}w8Cyi3j4oW>P556akb`k*1Avf*kC`eb}L&NnqLcIK313^-7DBJaIHL!
zY}i40t1p8l#l-mK95Yz+_fYHl<Z$t9z@tB<GT{IETUe;k6t6qQ-3R03aBK`cJ{(zS
z7f(6vaW+NhjwjC|IC5w>I~yq7C5zxx+qv<NJZ^t_GT6;8hwgLD=T;mc;JJ~ZKue4X
zRxS+>IW|m0V4S_-iRDB%i0ai_5>22V!RIeKNW}f5gtuvAIk0@GKQC8vVbOcQedsq4
z^zf8Rnlo}(E)m(V(Tj_VW%C;{cyj^&4Ln}^Qyw1!q@?Z$aADd~Os-!o2d&%M(l%ox
zygoEfSE}P6$s^EyI$sVB8Nvf%LKJiz*LXX?^JI?@a;4aU94;76KK!bqfJjZLyN7i-
z=uw`$T^1z|p92lTLYov(8?ebd<~JK-?xPkL|H-4xlU5j0rUd4qO&+$5Y;5$9A-80c
zFxtAhn=7aSky^?1k=bmJQ&L1fEF*(HF_R;?T@}+;?bR>rVncNIHM={46l^p8wj=4g
z8VE5T#$x^0u-`xvroE-WBkJ#9#4UA151M|v?8?Rq$@$Tyy9x+zY_yL_rlR)iK<*D0
zHbht_oJ{Hz;g>DjChDVs`M%jUes4CkRb9kJ?kb^VJl<V~qX~g`O$N2w*$}GVbVc`#
zGD^<G7ElQ^nAR#*H)rzJU(-52!>0<r{&BCEF&e(KcUb;uVWaykRi9$22G^22{h<ym
zq!M;j{SfBhkeo!`Un_Mi5xrd1Rzb&E*XUV$PhQ@gtE;g2qz*Q}U4Tjg1B90>iRgL`
zLKhuxzMjtO1-G9YtZ`?;|BCMK8YUN^3+M9QT5CW+zRGZ)91BO&jNSPzbMbV^E4jry
z9~HFvr3s$5uQ+M+g3rtZiTv5_MrSo)u~~K(pPx1?p5=M`du@Ua<C0uGdm3WzNBkS_
z)#mwZ&B^;mOd;^Hc5vSh8Whe&On6!9z+=gf(?u&YWX*ngAD*HGXC>0pk{BI))L|!Y
z=QBs?-E%G4N^}^!et)g=s19tyR-^?!F~`##gpH31=s46AcqnU!4(@3>oVLxefUH_^
zzn?76%RRSuRp{zK=K9wT&tOaVtyKJ>wVi>MJwrZP_1frd;{R02<HNMg8SjjG2K>_k
zkH^bv<E}rgRN#*lgle2#?-^$B`eXZ&mv$^bhFxoW*&1GpY`^QwGqCJ^n&}G{CPbU>
zW{0`hz#_L~EOm+jm54`+FLM}pV8WjN+iwHr+VVZD*9`2;aT|F&uZ21{U!f_UpZ}@<
ztYV+XK$_I%!OSWeGT6^|pWyM_UpzRjcPRtqv6bXWPff)6X=h3&01Aa{gJUo080bu2
zn46~JWzOmg#%F;uE=DfdyuQGnbwzwzzB)=MIyvf>fI*omhnh+)>~snL+?J_|ZI2S&
zyo-Q{b5l<If?D`A4-s7{WpE=YS=E`q!1?^2y(?&l*`0Sr?YaUYN_X{{?*%4xryFaN
zdHi=Wv-3+J<3~xh9^DgoC$dp_?yd$3Ca=!0)8(<d`NZveynf-+T`<r0n~Jv%!z(Jf
zi105Ie0zDE=l^V5<JUAQUKba%cDNHD6tINqdc+2`fkCTQdaI+SEyi<Bg6Fq_p>Z$7
zY;dqA_)jHE4d*ZWxF4LA#-l|6zN?Q~!|dgBlyQX$z8Q5s4Rn-(%M*i`S^;Yu$m%Y-
zxKtVUL)U&hJ}m+MAjbF7y;e}Uc2l_bha!4@`rTs-N<iav(tlaMEa6xy5-5080Uc9L
zN-lxoDD%%Cmj_y6_x);tn@JR0R2it7k`hOT;HsrR-dLbAX)0E7FBxBYw@uW{iQ)6m
zy-udH1-@v<#}+1&5JM8B7P7>VEW2M>rr8{}*QVaoSIQ$c+UG__nmF=Zj5ixun?pKE
zx5x3199kcJU@oCb;40;$n#fHv#HjwZkmhkxM^a!}-+%-{R@|_kG&Mu9(5kxAEks-r
zCDA`VlZ0WRD#!DdDP(GxmF^xyqz71%IUl5;bAnqCYs<@pWh<2n=LyhCk2vQbCIdHl
zj(BmK3Bn=|9qhhK0Da@)SByFt><^{gSN1l+m(wb?cG(2HJ#k|2+74N0v0QDKKe_O8
z&^LAA<pi0;-j!=Zz<-^DV2K1SW;R*&u1h8$#G&|cmogE`rW@81G`KKi%#Xh+Bw+bu
zrojO*IV`JpvQBQ|U{`%JVQmKi$Fia#-;2m2Zoa?n!B!5Of+&6AL?SG{2??&Ekf8SB
zeVD2e2bijG>DWSq>6gv3W@co_Zojx`Q3o5a$(^uzMTEeuzKsf7DM$#YaP3WH^ZXz}
zCuOZ17UnIxy?FQbJM+y`9Uh0*?3dqiYFG|A`3F=yMU}AGm>e9d$c9VNoy=t?csau9
z33T1b^9ABqy3dF)+~NeS(;Z2eZSd%F|E+?ki!Ba&+l;aHp2y1|G8vCnd~jTHSPe2e
zMLmvI8AEhw$jPfyWQ-5(oYKiqhqF|V<f>w0D2?Y@FZ)Tso!>exJHn};P<wqc3yqQ8
zGrIlDxB`+WihHlSXaE|WgO+8+7><6uoh_||3-OZA22C|V^*l15^S~HHIz2zzLK$T7
zg6L8P4UNq6#ZF(0(Jh?4$vjpCF$T`pIf`1yT{)t9K#7eMKKqHe7FGNmcoDopijH5&
z%fd=Gu<_eH>u{y4IvyN662w@<K&r-ucPTY&wCBvrn761Sl&~ye-zWnoN~$AU6**`>
z)TJ@Bp9&!j<G5|zOh}sh)pwlYpyG1;q`s8~CQdGj&%DaQhBG-!+LgI*IkITG>#PQJ
z+@HS_h}Ono$KBm0>$y0t9<)T~mL?i@)yr?C>p&nTY%GS?D@R&heOMJk!_#{w%nfhq
zVEq}XjXoNth-iJ&@o$M1hOfl@DAmzLUuWNq!#_=-?NnQ8*sFyD=F<G@cIiTL^}3W3
zO=h@ypxd@Ko{oztTNhcK(uHV*byaM!IeJyp7wZrhkUDb9*Dzies^yQ@=A~F5bk*Au
z!wd%ObUQg_TwUy<vG3iCu*9V<i3f*yJnxsd^YvZ54t9U9v*)^5q44aerHU&P%qOC^
zf`xPt&S`$i<oTzXvSEHeG86w%KPHl>+6YoFT2ne@jT7Nh@9i!yu_yAImzpFCtWn7%
z!D<`O#$B_v<}*<mdP3+}2LmPf8HW;efQwQ|v(~XpeE2<4F}s5fGCg=};dbDL%G6Rm
zE)%BbpC_>AXz<BPX-F;s@*~<;wRJHNY(BbBv|AJFLzIq2wF7VWFFlsLj)8Gaa@*Sx
zDvq819-uZ1IDaj9^Qw`KrG9)S^C9YZE_^EN$r#{~#7+4|q{DMW#ry7i6{uc*cZ>ED
zsK^Z;4O*jxVwplMeS#A9y&spfc*pA<rrPCti8Ne%bG-R#3<Uu!#tq*)z`3G*!T(ig
zLg-78Rvwvzf0eBrLRmmVL1bU%GYxE`thnnnNkn978sWhvAnt%^=Fm4P+S@&^oKqmc
zjOeIO;qAkC@voRGB2<X{x81)bUIu6CT%zaR*kD`0Bf-Vm>Ub-7Jo1o}6x?kVKg)Hq
zK}~bcL8~HF)UG^RpeZK-`KHn2&}M7woOl<1oL>bwY3-@o-Nf*zMCr=`V{5qCq@|SY
zR)WpWId}b85nMcWKfk!Z3PWA0A$tTBQBOK`FiThjXLoiTcNVe2t9DCIjdBW{^?cv8
zZxP1UpM{3Ck(Q7NQr@J#jhBC`!`Fl=3u8Uw-o~zX7Vzl1`oni62_e5!R%Q}~!T6@0
z5p8b)Mc2VedwY32y?raj+d&wIR*W`S)tbZV%Bsmvesb7zgRWm+EezkN^}EZo%;B=X
z!DI9k5qHOpDoR{L5Wa@)&CE5!-8M7h4+8}J%FI}=P8LOq=`IN|88cXIPyH?EOhAMZ
zf03k+7}B|y^Ky=wLNL!aC#O>u-2o4zp&$;)mWz)FqNdP4mHGA#kMFCyho-%qB_Q_s
z<CW{FCdiyA6Ufz;#nWwpu8l>K__1I9Tp7Ux=f^$|xy{IcvsS-)FGU(cU$?Y!3%EEo
z@a&m-zYLgOx(`VnG6-{Pr>E+1QAT7fIKG#`!p&N{z524)Q$mX!ddR`?n8b9QF&Xe3
z3>2%P5Fq{8zwfXg2VCVCX$u8eoQ>G;sYf8<l<l%j*XP-gi0+#Z=JmajRccofmE};o
zW-R4SF^~UB@g&O<Syc0r^utW$@y0u;elgF(Yx-v7&qxs9xh6&aY%mEvR~l<S^RuD;
zp>>Wgk${f%V|E`($k^-XrPh1L7^Qvpe{SIA&g_`M@`+grhHZoTHtjdYW<Am2+ciWi
zj}CpD7OaSxeR0WBj>fnd|L(HR7CG27#ol9oQo?tQ-PLhQ#z-B=+xys99{EPEI4gNP
zzC-%GC}`3M$+tK5)X9=C@zCwvsD>I+9?X6}+Gm8@9W$?_1;{wML3Z8m?do_Mcvj%?
zb0aJ-$XhfhMuCbK^~pVNDn@eGr-?r`f}wvvJ)N$AX%AN4GG`4$rP_<Her1HWdl#;k
zuT{jU<BG%SPMR>f(^ha{#E9pGX(hy5B|QAR&ta7_4Z;l`xe6p+j@(Np-WXNJ`5Efn
zvUOUJq8%1&Uu6u_C|kvRPgT@q%onW*q{B<7_w?&*W3V*l-vzu>!zXWso<}4Dn}3z(
zbAKDdoUr~)Muj>AL<ugWy-bW8jy?L^pN*G6<&u`Wsqo&vZmVM)3waNUM^_E9aerGx
z=UICV=(@zF|JtFAf{~|Vlsz2G?>buYR6!Hd;yc*^9y;)<$hf7i#Rc)`0lWP_G_kQa
zeAJ(+3(eGne8eFx&VFCiy!Z|cVscKb|DNfhjU?(>T5E#v)xkx!$yy+;j;8CmF9CtH
zWDzyT6io(Z_H9mdT&rob3MyX$9fd02&&g(ZAn`(Zh>wB&o0==jUM@ks-Lrouj+jHL
zSKPed5(8_#ok^}~T!I?&&1zo~EkHf4S2kn9M2qf_cg~I_sEupV|98|9wKql15w0_F
z$YLR3`Db06xDZKnOtk{x#+D;?QY>_eDN*~BbYUbS>^X7J8jr-6^KD<rf=?1Ha711Q
z`)@C`AcfkXJ3gnB5X!>*%|YKIZ&@&D+}U?n1yJqX+MgJ}!ob+)?D=pe7R+8%_{Rdi
z!E%m@rYyKE4K=ChrQ`Fq&-{cIfT|)gO#Q|LcG&BO8fby3Rpg_z*cP7icU%AQ@}-K_
zEK<Bv6DeDj)?d`MMakoesD-Z#EUnJ&n5?1VZ1!CH!R5B_n?5?|XT?B5*j#MIlp3~9
zdG=CQ*+OE~A<=&^bciLDW-gQ}V=DNC+ks`aAe;RPHz?2o*YlJOGgSdMLfAw6OKj1u
zDs$_64Gn^)3Y}}pNO0}><>)J7i`!CS@8|AmLZ`9sgEvtQ5o%U(L2v&5TYF~qG-=@Y
z6U{~1t+MDJO0Zuj0JJ+pNQYag_>=mr^6g1!jIz6Z=Y0VZqhj@kHg%jRKjR&yF98{i
zo09TmUT%KS8M$*s4Le^vRUY*h#mMTq`SjB^a0=m;_dVnJoc?ABYZYNAUAHUip0NgV
zaoDOKg35>scT%(T5=3#$0eQB!H5wb<l-GDDV(3jk=pzvUxF=pqIC8@ZQbbWp>4y|_
zZmdY!uf~t(Wtq2^$yp(z$@kjyN-{Pp?vr1Aaxo5S&m|V|@`ASFWkl74JQ9p0riR=W
zqwi20^H_%k)~d?qbl;JKQ%6|Tcdx}5cwQ5K!_Wdrw;EbwFB0*&PUw+E{$kYpUd^h=
zGDqYnF=ItJ0biU7X1>Ysqh;LH^YyG5mKfvyr5CbTD=T_`#Z7)FsO?ry+-!#T(r-VO
z%gI79%J|}7k^r0{@;6L&n<9twW8QP83?3{CjrNQc#HF52cOM5+go)-&tACKjR!RWd
zD^&<na`kfW@0wuKIaj*?F=^xrO+G(zOBf2T)@c;-`u^@?&MVDAq!4ZI5WHGM6rPT8
z7LRzow`}%U&Edb2*xfG28rd#}%T1}J(Ux31ow#z_zFHE;zE{R`Cd5%~DW>s~*9&5j
zKF;1fD+%+_OE1&1B(cmdD@wqPgLf*OYJS%xp|`eJuG>u-X1_j8SPt<x6Wl%jc2p7@
z?au}2oR+~F$+_|Cd)Ziah?}6jP6~;;&zro-lttU#HN*=PHvR_y0RR6Kmv=nY-y6oQ
z?7g?g-s5@f`MHcpB}LiNQYcYreA6Zx$ZAL>MaoF_O3x#b5n5K+o3bM*{QUksuk$*u
zbKmzl@9VlGMY*$Xj&Ni7o6zTdPx)b(Tv4>ELKmaTWi{s>^5FWLjr-fH1<>L|TqYgR
z#mBRXD!t~s&}?fL+4)-#oPNKi_X+62U1d@&gT{-lOcPT&LKyceudUv!r+|4SB!}$E
z2i0%IM;RW7z-aa4jCdpkcI`3~`Skqwy^t4nl1B{6#sUhdTPZkqLTB*=jUScShtGQ6
z7l)nq@_4m41$|G4bDI(ba8N2qGR9mI+>9MtEau4A>Xs5McTNyr?6#+6|B=G7taJLn
z7c%x;@E33YPYA!@(zBsO1~czkhm&b!7=9=m+!QSgv;6;Ls68aq$Xi+;EhD2yKJRvQ
zu?Vc%vMP)QWWmDHEO44i#;O{bK4ei8zr(Da+Re&=C+=nNkM;9;()ZW9Z57A92KU-d
zb_Ezt8E6PCk<r^W5vEfrfnbMOZf{LRXgYD;a?qr}@WulzUt=lE+)k;?a8ZJGrL5^f
z2nFfJgDeZp(r9Y=Xw?^{j9;98uKInX;LRfU&1_Q=q`mv~59X<$w7dDiG<2~$Z<StO
zR2C=J`fJ{NQ$>bEa?gwRy4W>%!0^dmSuhp!)I~0<!RpX}V2H0C=&rs|7a5Ynv7a;N
zPO@vD;p(^4dU1V_#=P0kB9Ci9C&GLfHQ^Otu|IWGAFAV-gZAYLxPCd5vaeecE-t@k
z?HUb`e?0n5Z>l2d7>#N~W3^B_^&g8#jUlE|y1r;$Q9^aE@5_09ZE$>z;AZ@2gs^iF
zM`m1<A^c+QeU`U2B16qs6@M6`p(G;yhJ*_82#uf3e%e^$Db3*FGezQpm8g273T)G}
z^1QXQ5gtQ5p<!l*jl{;te|uDsB5=s!NTwFX_+l?J9W=-9$w4=t4pl5)yAV+DT@$7g
zhiR81EwD3~@vEAq8gkxeRQ#*fK;zc8llDmjdUh1<nf6peyR%{0PCs>Y=1;o_Zw5yC
zO-FV2siDz){>rb9s;H)qnf_1;+}#y^B*Q`teYu`m-K;9$vJ;kM6Sjnffy!shssho}
zWOXSe_{9x>uJW-&t6NL(rchN-o<EE<lvF?{_jtnFL`$%iI8WO5s=#9O(w!thIgAmF
z{zZkBFpK2LnI@^=T5e~Sp&$tZ^M&D}G)p{iH01waqYNM2&!@+>Ny5N+Q9-WM63y=?
z(uKDxA?V`8Z)$m>*lu0BboY@ZDrFaq4s24y`wu#rUAu*#^W>K0<CB&MJ|R-GM^^#N
zT%N~o?c;~r{l#DLgeAsy*F23CmWNWpt{|Rp9;DO0^tP-5nFp+SrGCpo>{xio-4%9}
z=J#?vECTrY$scn%Nq7=y%GRpMg2JH8ZtjCXYt~xV<8T?UFpC>K=3v4t51l)I_<*3}
zd)nIlr0~##aY6G2J!Wp`oozcw;1a(+>jhs4?DG2J&8)vhlynakxz<>~E%#w!(*-ej
z{QUIL)%_pQ%P<ri&S!z|#m`*YN<_dUbMT+%-eqEfH}KBlZgUKOd=veMUl@up15E#E
z{UIuzCYBH9n4xAm^SoWGAP#zKT=z*^BHj%4R~W6CBJlY(1zoZL0<yW=9=%v1cw0%1
zcbrWzrg&srWq}X0i}%VVmH!YeTR2{v$TER8@4wE|-+95L;vZqgxlE8bMy5zCCb0Og
zjHF)6gN~ofHy_*nC3bR-9{O_77>@rqi;fF%W83XN?n({+h#xoq-Op(-LeAMv#?e$x
z>{*sFyB)Pk{2M8J^p0YL12<-#UiRZaQIF0WA!|CsUw<*7nqr9K^1saW53<87OYus!
z8$Gs3^eheW7=kJ3u06{=HkdhDt(sqDz}=DP)wOT~Y<;oAOyMspqJ#{FKE7v!VWZ@7
z_^Lj>y<eG{ieiO=gHyW_X#;k19=5-9P9H1GJC``Nu%g@KYTuI>X82qlnWbOTL#@pD
zEPq{Ae0(a-tSiWhWj~e*=?FcD`Ww1#v|$C`hp|qxd^QB<=j+Y#=^@^JZL8L~^?llE
zIZ*)|IAdvEdH;zns9X)QEZ<o1UfXfamf*r)Zm&BwM!L`|8xPyCjv7UaiRa%bJkb0!
zBPjcYf_Vq7pRbtMVX<?w*veC0TuT;OIC5g0d)MSW`aZJbfYDjcY8oG^ZK^wi#VBw)
zFKSX!#R1LH%iHW``JuV<>B^ONWIVBYeLA(B6KoF0$kK-E^RK6hvYjEr`jmCyHUVxF
z^Ll(3N)W;$snBz0$z(`8_dc6_k_VM{+L#U5MBtvQd|=<44p;|^lcz88!fvW4GX0(?
zJQX&E?5ohh`3LS_AGq`3(wD*V=hotQn6uMMKUxRP$!jV}oA@yxQ5zA<A&FY&@`yY?
z9R%n{m}NN#z>xdwXwa+_Ja1krZrrAWM6)c0hyH>vyFPxGaZv`zfwB9Opo2}5y*1>A
zLeL8CJ6X>ui?Wf{SSLaUeb1*qi;W9or%Dymu%;ZkM~A3RTXm3=pnG)CK@|GsOh;?I
z<&o*C6fWwogSf+<=f)bvptLWEvNu@)d^a8nTHn>dOv>0@qx}+al~UTpIjo2r2=PaE
z=-}^pL9L4dQn-I+UUjdLGK7YY+^W_h<KU9x&EfCT=<{Tth{mhn8?WM~(qu9=-FOpz
z#+!s}C1IhFNmZnpZS2>Sr63G8EZVNJ_?=%q>uIYF>iJ38N*V=GJ^v-2bC(0V)YIE7
zi5hsEE#;OUs*C!Pwh*&@^6*_e@NCB?O(eU1C>U_kgG9s1j+~<k_#nSmxNJ@fs{7P;
zpS9J8F4rrw1EGo-_p#^uFr^K>DTKe<WdK9nezI-2622u1DBF3j*8_6k(gj1LZdMz=
z8Lo_~9XAemr|V!m;{Nx4Z;bFJT7mV;DHSB&Y4_4^(7{9vJ(~lc3HGp`e?aU~#X+l~
z6LYmXcu>hSIUHmP=_?!Ja>dkegtp~V^?Dy8Ib8qq_+kdu7aRK5D%B7!DL><3qJtxk
z1~>BPTHwP->x(^R>Uh@dUXbCXjUV^-1*Tpl;33U!mVZkfe%XN*%M+S#U8qnk-vel8
zUB5O^ppFIAnq5808n}{XG?P6Agd96@63^6eGjqfKk1}eA8Hme&?6<BLrRk^2ebsR|
zA@fb!fHJn|i^m2uT4IA~O2XQl8b-FKX1Rwcg7m!T+HXNCh&jK?KEGWJGgT+vRtU<&
zG%0h+-^L2J8*QGMT~S47l91!@3lb)(n>~a*tT0yGDwG_(?lV#uHvPzu#7PgSqx)Q~
zpnN`pb>WOM^j2<<U9}QLx#4npl!X;~ZY>uOTa@rCsfXdBu^_I?6rMT6Z-uZ(9^P~g
zMYy?1d&MO4B5uB7FMpdQ>hC>$qf#Z0r4q6KWct~WnPk{p7G;T)WP?$!<8l}gy?Hc0
zWCPl7>}ua{Y>A3Xb&+a{vJh<KD5U<N!~Et1-w!=NG0W#X&q^7vk9?ZwJ+`h3!%3I6
zUj)u+x9{9+D}}ca*Ta+&e-Rh0zCRj~1XR42gL{66gL%PJ;Jn}r!I=@0YI%I!542V1
zs}+dCY5biJPs})hm8JQBObZNao}gBw2;<xC<^NXbhKa5~H)oL{bM#E{cGngN!Z-ez
zFr&@@QF^=cW*o^Je}CLl@SfqvoR919`Hy{sy|Q*s#h&$da<E-1Wfvcu{)D(`KJFu^
z_a74~>87yMDy;2##{*kl*Xc~(e!}1qx0vRX3CNRkx_Vk%u<(lf=R7k&@Q*55ESj1i
zta4nAXT4u0ZY(3MBE!V2;Ehf3F~*qk7AbhX&RcM-R$QqVC9LGR-u@dlg0XGL=@DTT
zoG#n6;YQU2QJU5CRME-^17`QeBI7o|rLe|bRd|Yc&dF7<_{0#Uh19^UwoEu7Ld*rX
z&Jf2>G#I<G8e%KQVF^AmBTOPh!@JAp2u|(FNUh@rkO)ZLG3vm8#iY$gwv_%N3^=|f
z`u6GL0;SngF^L`nR_C@md{`v5JbuYB=A@5n`ueiRdFXMBqCnraxI{4Na?YjI>p|{Q
zbmxa0I`sQSa?%_BCF=bzh}^Q#gLyFBqqt*q$mZiJ9!gvxSaLfLJ*?IREoJ3as2d#|
zmaY)R%ycL?l4j6otBa-4B;E8qbZFPee<9^e4~?vbc+qAG=*k^0MP8%B$CnJ`hCBw4
z?iA(RaHqgLx`cnJnGV%awqFz!nUG$qyIW(N47<0DUzBv|q15`}PJ8YKDBNbN<vveF
zXH0@iav?qD14?-6cd}q(B0<_LM26&kX9<ck1J)`<9K}S~@J2%F&1#+w_MNnD7vo_>
zJI#qEv&@d)PXCNtoY#4i`|ab$F-AxeH&6J}bKz^a4V7(P8`C#~oaFkM@Z-6<eTfba
z%B}N0+_Bfj{c8nE3V$}>-{$#OEAM!rUdL5EyY7EYzm+rUQCQGFqJ1lqgCE!HA{4)g
zXd!C9T-mQ^*7bWGI&$@}07M}{GKkZJvqItEW^Q(rEH10lMg=iPclEBQs3vT-fBE88
z!~yFk*838#2xEsxKSN!P2D(NRO#i#O{tgd+bvCvTUFUNpcdfGqg8HtB8eQhWpHLs6
zHp%te^IYg}JBJ1q6@!!0T6rPOQ&w@5B#E#>!C0OSb;t>Z7MU~hBlpi;&&JKt5KVRW
z{aUV$N!HT$Up5N>o!y05+ekQPQO-75tPcK{vdm36f`}Z?n+uJSg-eEjM`VjS?B))=
zJ*z1U-5?vMA3bvLZGKEguxfym$QsSuC;}em>N~L;72wj?mqGH?fRl&2okye?C`%L5
zUQ|U0EngVOn9zWE<@gqcbsbC*=RFy?SsCJ?T*^fcHF58p@C55_DM<ETpKcvgflZxe
z)R{0X*nG%&)o@w{w;4wQ4@RmXu_$7rL#j5iUA*7yZ6`tYmQ&7A?R9QXB<JCR4(hu$
zUsa=%!!_fHxbUx<@Xh9X!r(xL`PY`SHhS_XE7W|pD^MF2&Be#oEGRhsq5RueumbL;
z2>95Y)<M&5#HQ@hg|qLNlwZCg#*)r0oKPgAFTXOtAx;l_BK4#Mekq~wDP2VVdS2ai
zZz@k@Rv&C-j<2<KRN&-8pERjXLCD=hYCDb_;$6Lm{+f>}woEg|4zByEl^}_$CcMTN
zo9f@z6{?2(%~-3rPQfODs}}F8O~5l@|Nc~{I)t~f2~-`VAj8gdM_ia0IyxsZv|KcB
z#B6j{gP8)BgIwj@HWql&Cfymmo*U1X_FS6rCBx?7>13fL0(5Z|@g1R>*!g&#b4R4k
zdfmD2+v|X)$fxodrJ5Lu|ImA^M+>P%bYr(KTcX1)_x`COO-TJ}4Y1g{p4YUTWt2%)
z@HaozDG{uRpO^2&{XVJ+lX2_q#VJ;BFet8L9$)tp>U1HQdzHXGq!^{JVg*Xm;Zb{e
z4ft)In-{T^$Jlgxv8ACk7QV{<*{`4uTeW<Ox+)2qs!y)G-)4=Y<l3e$^Q!n@**p~N
zD~_i^eO}VG*3c4<^o+Q#0=5p0*sMW8a3)hjW=Yl<8X;Bc$|-}=^;D|s3lEydxR*)>
zt)Md%9ZpSDgp1A17!3gyc$<;6j1sKSuw=TB{Z}5_p4bPKE3OeXPa14w^sEpUF;<!9
zBZsryGdUk0&JpJfIk^fOEa7*mAmnfz3ElEqIX~L_h>jocA7yx0VprWjMBo`|ToQ@S
zJwJ4ZFzN`Ir5gpNxUv=OE=j;&Dbgl)Q#<wT^r6F2$AK8_V>{P!MKM2LwaQN$q8=$C
zmM{DzU_4#W+0VKD&qvGU$fO@s!EIrq_QC{8BW3Ez_XWVF9%L$PIZciCWEX^i1xT-t
zsQmYT-}~F0v7vs3dX8)PfsdCtYzt-n<lpATmR;t0Vdk^clHJ1<>etPn)-P@U>Ki+F
z-u**>(kwM}zc=@%*QQ8)cc#Vm0t*t8B5H!3&rtVjZFaNzZ32HrP1lE^OmLj+K6K^n
zH1(y`l*2Y76TDcgc*EXAkF<bK3*Db4splRf9mu_CjP|<R*e@Nc#DwRu2Uh9p_g}7V
z5^gd=?tR(h(r3#A`!(yddmiJ|?P}YKbxB5eb*SpV+TtQ{iQqd^$T~`W+kT;{<cuNC
z)m<@Ct(+$|Uf!1)wcelGYM*bqw;4bxva!Q(a)!8f`p?AHm;vgi%GTCaBLjRtjKHkl
zKZ&L?<&uqO`=}4(>szK%^bzl7m(crqjMy)qlypp>o0|RRZg((;K1$A#mm`IT3FcH4
z6V8jB)Io7~UX@Ti3|$O4)il>n@IBSsc-pv)I&f{*h4Cp}d?e*gFo*RJm9ja$B356h
zJ>J;~(Fb+GwBO0uaIBMHzIIsE<IYFwXFK`BGyN1aO5Ho4__vj~B}e9beBcB1Gxi(K
z?xA4y)3p4nw9kZ2pgzY|xjL$3HHmg?kPO-ZUWcZ~EyR~#{w!9{8mjp1y!l=JWW)~0
zs;6``5FalcD$i!DqP{xRaWiZ^2fe<(&t}i3S|aU!-a~r1*Hr2E+135)e6!K06n-95
zO+33R94a<bOx;tZE$Pm!gKx9ZZ*!ArMBRCJulrv4)Mq=4J)T)=Bhz1NOXua+gkFie
zse48?wUO+%7IH)jj#*bk4<wfo|5k7Mrd&;@dfBiK{(7K^uQPu+ihPTRm#=vjUhaQH
zJ?y|?y82lIxw5-SbG7+|SKup4d$9!SQ9q5u0B#LbQ3rSxUc4e?(^_`k9llI$)JQ85
zbX3RF8K;Lw=W~e12GeA#KRSf_sarQX64j97)Dk1?ltm<T3|MXnxlGjOHuEI(s-pho
zIc4dcFNm3dZ-pGmv4kYM`9?WyRS11o6>S~NAhtxr+YEEvBiK&{%ld|?ATYP~xbO5c
zBLAoC?+SwyVzBW*q-mG(I)~ru?C^U=WO)xdACY)UBo90=k1$rofru0@2J7|p@h{h&
z+<8U_DeNCnN>)PC`|zd1r=Ahw4_lSeB{GR_y&p?!bV>+vc+p$-_Zd+foltYKG>5pW
zqf+rJKoQK|a?IS#8N^=Ma%0!ZR|N6f$ZWhr0qu5kY4#J(3CgeRvhI?6;zEIo<J-*&
zI7o40>))11unQa0u755h0<=vceQEMAo5&h1{hLMX4!d&CP_Ts9eQ=&!W-O1X#c#%(
zb2)^l(XFMmurgvUS#MWbu^bpeKL5}Ve?@TH07*c$zj{7$R((yF#fxNd8_MCGn|HLv
z{ybt?L-~LRCzVjm@=NI}mqjt@@a3~@`9uuIw%dEes|Y=<>kf=ovbgbNxLE0QA>p?A
zZq=miEg}1J?ZTc9Bsj#ju=j2%Ca&v}rW4=P5PuK0We&KL5U&;!x8PVx$d?@b+}BY{
zB$a*oG5%Es9v3uH{Nu`r{xhwm66*EDUzP$t=6})<+_^b+p1+c?*3J{@uV^Ip_tkdH
zt4KpX?B8C2?^Hr?GQsUqd^6D|nO79$DFy8ZDPnPFs))Q7CvfBYN8-8jj`{2aN$hSq
zakxOMnn)YTkabM@OuQ`nz(@Hc0j05`uXhCB5#2<ze{AGeBI0qe{$BwJh<Vv89MgVJ
zT>6i9vM;NRh*GJt8}}4Pr^Dh2iL3Plw~XugQ=FYdcUy^6?{hJbl?Pr(NPZv|Wuu;(
zzxq!6@R@&EwJeGfWwU#<zs&^6ccE<hQ4jI#$g0bk9ioWgjiQJPe<EtR{Znqw^byV*
znp7vVMR1*?V#k*6p9u@MwH!Oz0I}3w;myS*0xO?p_o&Zbi9Zer@{`p=#Jh!rkM+ld
zVc9fQ7en7pD7!v*bd`RTxEn3<Qslc34hj~Qy*%1UI3?Pv*IXPYc5l(c>?R?|J#cMe
zmhB>jhpHSEY=08;)$?;M6@qB63_ct|>Ls*<w*}LCPZL#fW%ssI1fixhxp{+WKf$us
zYH!EES>h;D(CSo<0Bn8!)V~%QBy@jqF*@#;C(is}9dytV!2Js5o*BjUd}ZUCTy$cA
z(Aaf7;7$QQ@?A|nHys-#;;U2gu7CYa2%QX8W3b>yy-)>%5#0oloZPyfHFTLcuk-p>
zPZJ-=o__Ux9Y2W^eG6jNK`X?NvG1*f{d^$qKYpvlFhgi0-x?G5rh}v<cU<}!FZTU<
z=TEAgCFoCu9iFBzAn(Vk=d>rhn6@A@B(LkjPNVV9Sr$yV=G>J|b>PLouS-6+rWT0I
z8&&G3BbX6$=EsW?dR}~u9NC%Vvqbz-T@8@oV?%C72tDT|9!NL*^x_r$OVIyQGE*Gk
zz))BDvA2ReFesj`7A36`wXf~DYPopu`$>gQ*E?<;D`WQepwU5hOWLW+oA|IVVX~p%
z9ye+mb#G6kGT=gBocJfRb$z}v#x<9~jR)B(NxJ1s@JTDXCFm~%0lwk0T~uz!=kyI}
z^ROTwZS48bXA!V`AA0#pi3g_=x6k@yu%S7s|ETmOag<9wFX3<HK}l*<_516b2ySwD
zR&z=U-M^3QwhQEi`HorJ;YuE4c>bF|w3`Io0gWILMLxWC`9*3@=Yz_TNWXb?IdtB>
z!4faUj~CZ2)?I%n0I9)%4WUX3NLea)`R0HCOgp+(EE<IHlX+^T*-;6DdZS;CaR{Mb
z<Zs@fwkXEW2Z$FvSApT%2hW}=ir}INTQ2u!ar7)b{<=>`9rOZnp|2Xmz~Pkal2#yv
z;MRwAErXhH4g8rHAS8vaw)E_}he>Fx4cc^cw+@t;bq0UNkw7^aepy>e4n|)0pJ#NC
zVUidB-IPNfw%ZsM6Q|^nkl+;2;iijk7W0EUS(FeQDZTSrmm*YtYTgz2s)x?dcskKL
zst9;Frpr8_3=hF8wr@-g&^Ig9oLZv^W>I%(@87C8)7xIR>%1Wj?#bnMT=)5EWiL1i
z`7{uvC#98h#Rxg<gPTrq=%LEw+}1KVE%fE~x{XkbQM6onbXLd^+72W2j+{CeiFv(m
zPlz!>c+TD*^ELs~JkKlpX&s#CJ<gn`Z44%jg0TaQ=HL$GwHSFxhEVS0mJnwnOqwR0
zDt`pDG^lc?5fljDd~4y-VF2yjERj66R`7cK`5wz%3TE#T)^0U=;H8T{tX6A{ru^+c
zyRs=rsoA_uTZ4k?s%Y0r_KnbRS~2%LM}fW7j85ZzEs%{*C*?ERBEi6-ag>RI`ftzX
zJ?K@i*Zxew;|yE84!Sk7aWff-BlS_y(Xtq87$q?**rGj>iCbx>4(g0*8D(AzV=(sH
z*4|lLxbj}&^Y+lfv}tCjTQ@V}q@3PLWZL4@Puhdy)#}*pXs;dD)j^mmtv*=Mu*Cx{
zmKK2(6(pWNv_a{|GWG85Sex`48^NL%!|X4kgg*b8WVw&*v<!Xe<4m7z@GETPbv7Xn
z;i33<Vz>Ee?uB39-{Y~tn<K9eIRuf`^V!oMdxC^%ZM}}Mqg$;pUo8Be^Jxj3qL<##
zs3AtH^bYEbinT&loZyLbUcw-WCx`1WNzk~a3VNROto!rp*=joX`LM^^Ks7~0l6LsD
z3(q!VOGMeFia!Zt2S);*?e|(qnpBwhs(mV8U_%i)?Z*JUTEXlKOj5M=`l8hR!hnV3
ze=Rqx7YT>s?sXD$Qna3_zR`Sb0!4|u#Rj$mM9!B4<H=8wH1DJ0(^mEtNaW`&m^6Gx
z-N2tPNR5)D`KMkgBcC?M!_GAB`G5&(wS~+1VGBvxILDHgO^F#w{lp!SzDT8ydD|j5
zFF`xDNWK-wVun@<-SNKyYt;BRpBB~gBxp3c3ZY(KQ<RH^GekNv(stUVcYeAcLE|3^
z@8<brg8%qx29D-2(}c>R3YL5%XnU21)GO>vaPbUAG%DF>hh$GhZFH5O9SYgB{JqW?
zk*p10T`zLduHNh0u=k(@Ep$ru$}?wU=>F;3701X!`_rlNOg~0~R<@hp{PL&~0%GT9
zEHZg%lf~~XWLhL>Vo&yotcDq(J3K0VppuW~o=W!PR+Xd`8C4m5RWX8s()TNzRs6K&
zJy|E8Bumm3(wCyXwHhKKF@-**M1VH_^Eb^@Ns5-<(!$4h(-51j)yz551!=-(DK#v0
zQnaYHz)qJ<hOlf|)bxrHqIGa@P-49#O-qolN}J;{#FT_eH6>V>R#ck(NXS8kcJD6R
zG-H<m8jq=5X>}5z4g0m0Obe4}{CRoXYV!?{Dr<E_$3T?kIxx)?5=)|)J!PK16mI~Y
z($$qt2{9Tom9CiJm!)OL`l*J88sOgL4VuCm#A&bHOnbbOWoZu`D$A6P8o+=1PPdLZ
zaoYUN%}%9ia<qE+Lx0`|7~tEosAkRZ`kd~ht?^UkXoqa}A1^p&fNFvxPP0dn_A|2t
zEUxl2F;CDrh8bY>$kTk0E-9K2Q+~|aj67`@%aZ+2iUGEo`UUIuO4E$D*3s+TRG^V!
z?nD;8Hvr`hgJ<`M4DEja009606qk2g&2JmWixz2jMyGZ5IZdg~Xq|H*2~nbDloHBH
zB&C5en$q$^MoCGDB8sGoD5aqkA)$;U8fN=B&%f6n-|zi;UHAQde?HXV5n2I*g%cL_
z$=}ELVA9mut`ttioNXUY8&<Gzvr85?*Gd3&a=RUxr>QtTY8~j|z{ZAP&z`zi0ciCZ
zl)OGl!=ud>{Butw^NkO;v0e$lIl(%Ao)R5J0q(0E7IDyT`qQ7)Rzl!(r;O*P($UA)
zbnHk82M@is`Bk1P1o?vD;Lqv|WX3)jh@Z{H4ykk1!6Yl#cqv0UEQNugLrqyHT)6my
z($?#jZUvT?ez?}kGI4#g*TR_xx%ew>xR6b>hEwY<#<D}0sHOVGB>f~8$LAj^)i`er
zqx<K`_jWST$benwnZ`x0)HWS3umSH7rOL(TEUZ8Msctx!ixbL=KgZv)fpV7L(Di5*
zCLLZMd)|_Z1)VznxnK*bVH=KQ-eck5$>%K|uQ~YmbVMiPi7mLxQv<U5S!lZd_gMEv
z4jz=-=$o~~4)jK5WZ#l!V^7KE`8929eEcJbcjciSoD%zek<nn|vH*Mibp~v-n?bKs
zpC^I^v9)hC=CJYetMm`$TUq#T|GlTL(nQcv+xP472n%N%SVTW?hKaIiGdH_@76EN)
z!_EzLEL>GLKGl4WfvbB4MO;HMe9!%^kdVN_y^+5<=DeVz)VIiq$n|1qaoXqVV8_Da
zox+LR{gS<<Rc`M*Aci=thXVuenMgAYr0^wsc00c#&n#68!XHz9y8D>u@jEB?28oJE
ziFPUPCG$HCJGPfdGcls$Y)DU#9-cX5{x&N{3@4j+ox2>vz%h5z_d&Hf*pkkF?Bg$n
zL#4~obSCJyIO_a~{X%X0ko$euS15+R34_PYcG0nXNpkc21}$uwT1J_k7C~|K@vW2Z
zX~=lzGy8Qk86R|dgcsfuLE@f8+u~ekSh`wasmPOrjLf@)cR?aJeda(^Ia2YI-Gzwl
z9z=}0*RV%JTLdx7-;Oz2P;pOD;>Wm10!I8<Gj_e&4({aZ%AQ@Nj~@1GSh97RsGV;)
zN5RJqD(-y>U$IONrym5i)bTVi<mKQ+w=r9=_TGM6-bELCG#t%c>ojnahXbKJ%@$6=
zzTTRRI!FnTFYgK0KogsDIi?1-P@^~Wg&wDkj!MUB(w1r9eluOy-1{~_rk>li<30s%
zzB4Hdvev+L-Tp6nR@uPr!Qf}-<SE#<$nWHFdksu{(mI~|)f&Df2|5D&wNQ6u+YRji
z4a{@1kBUEN4SjFp7>hf|xZeEWU;kVU+!vAelc{A5R~xPziC#lS#$Q*?hhG}_wdrE@
z=uImqO*_zO_=|)EQ}W3cYc+AXK&$P*N-Ln7q<A=7B%$8NFEdO!G_ly9xR5;}gqY+k
z?NWad_VoX$Y49ar`XkfpZYPDX#_-QIfei_7<w=EDND=YUa!=3QA|Z_LX~{puA|ZEm
zRK<<!L_F2^c6N8a07eM2tm7FZOnz2Za5IR6#@|YxjAjX7`%p@Ig(V4_d&-vF6_asr
z8QO7N1z^#Apzyh5uRUAl3fJjtp;_kK>3Ssr2zK6fIh;a5zttJ1gvu1m$)C=2Y~jN{
z%{{&$og^%Zj&mDS)W(@C_f<;&@gdqW+rr6$jAf(Nr6jTrrtUQ9Ke~wzV?j>~OD~Y|
z4nE`X&2>?_MZb<~!-wHVM3#fD7G7N$kyGlWhe?lWwYQP^@UC$<F}FwyWAvr|)+Os>
ztIpk&hDjcbQ7$HVE~Q{y$c}#8OvTeCPmk1n<3Z-W>8aj-6s(^#o%39ghAs==zW><6
zgZ3wNvDa^F<FvuVHuqaJoI68qUVbkRiZ>_+&WhE+n>AkMUVd~WS-qQ^{DTLz_h)_6
zU9XFdlq+j*sWGrBrD``(h7WwV)gyxo^{{VU=+D^?C0v|Jv$@6O1EKYM^h&-yCY0*f
zRt7V1W%FV8W*0tqMIDyfsYONcr&IQy^jIkLy*yqT$A?cvZ}<PoqGI7{={SE0KSH@5
z?q)RdVJPeDna4C5Dt^7WxGjK<@&)^nj_C+MS~mLLqboGjShd(YL5hR#9naYWg$baK
z*R{6ToQ|Xa`WKfaa<IHa`_TA10qir^IILbt$JRC3ax3Mz=x7qS<h-j8;<8nHedaST
zOp5EVViy;^6-iHGTZBOCb$!)U!$9>D@m?2dxHz|=LpRCI3flVXJ4=CyZ|-)jT{Fc+
z=fiJ;7WY~KIrq}?p<7J!HqPyNt!seJiswCkhgt*sXA$=tjfL{UPT$Y^2Dr$g<Y1h#
z4e-Q!Myd|6aCE0`Q0oi>ym;e|*7eIaaD<zr5zx-U=IhUME<Wa>ul;o3d$BE~@vH8&
zlGymCto!fW051C1_yh*E+d?=`@65)fY;;~mNVNFI!TY-luI2dIf#SizMGafoNbTl6
zT<yZaZAL+1^<V5@4fW)5xiB{FnFoIvXV}O>FM_YH2)vm0Gs1(}xa66^1NlZ4Cd^Aa
z&1w<>s)bJuxwG+^;8?UyKNDH;)@7y!Vz6ns8Fq!s#`4fCvBD?=FV)YxBpo7#>BHgU
z&R-<{I-eg}J4wgC(w$Z3u8M(j{Uc1IOFWgjqatXMhQinJXAiZBLHfbT61Eu&WiZ@e
z#v~Qj$`aofd=kUy1uHpcs+jn@che73X)3ym4v}L&i{Zq-Z^eEhCQ=LZR&LPI!^Rtl
zoKGEMn4zETb+?Rxxy~2vt#a1EMPI1*|CEV=O0_uqo6bOTa!-Xx4n=bB3c7WVh(SJ`
z&)bzq$J@1Q%43LHNT?xe_b(R1d7M)lF+{^)7otbf4H9y!eYK<|{QtZ}s=;M74a0nt
z-oQR0wi&GnSGp>KWl{&W&$vUysah?)eVYha-Epk3#6<*8wt4K{OQqubk)=-RQJUEJ
z8@`17u!F%bz3a-z`q=QDtv;_x18Xh6M|2*wgZD|pnXVJMxI@eF>N=(dS~b5ZrEA-P
z>A7@WhaWoF^h2I@t3(}xGvXG+U$uo{t;Q`mL)w^bC)GmUppHYqp8x6CO1%GYs6ts*
z8#7GzFLE$b$IC_reoYNF@F?Ti_D*989$a!#`k$UU-sb8Hg1l@%>q}4LNPre<`vPao
zKphpG-eF~*HE8Y3c_4R}jJcsZbF7`!vDy{w+{3Nm*mJY`NGciMr%@KSC#j<k;oz(m
zMQd0)Bz5oDS&9E#zgG}GsAHI2%dE@URxoqj6PdZDB)szDOYz~Q8o0{fY_F@(3jXCi
znC;m?#F~3^)^tn!MGmKbvwJQC-IAP(&8b9eNZfps;Hin<om1)?gN2|-G}!L6k%-qE
zM_;WN)5HxA`Z|3yg}^k*QaP}Mh~-vtci$8fu;Z7fwOgeC(hRwtO7=wbipo;4+)YHY
zhS;mKw+O)P<e+JmD-l1{cNq*ikZ{wRGn{uM0hCOdMK^{Jaldln`${7+o?6<m(6X5i
zdn48578eq6k3-NbPpTHS&r;qIl)#5y9ht^AM~EnQwRq7nCI#6UwY_6beDHDI&|0~i
zgy(%;(Pl|<#i{<<I0qsh<jhtYD^-$^FQ!KwU!#LtTNyi^eC9!Y=<iBbYcejMA7gMW
zQ5Su#U(uPo&x6mdti_g3$@ubJe?@159=>SF%-C{)2iKiOey-f1g$w=!-pNy>;!eE<
z?I+@RaI|YisF+H@)X_vc=?W^Uuci#kMetzsrLt#qF9o%Fdl(&oG!z9=)7S3f!Ru3#
zTlPu#fA)gCizAhe{rt{KS~L%;9qU)^Ii-VjRKcUAuj%;C&$hfjg$GT$H>RY;>7roH
z{FTQ~GBD_-5ph8=4+>w5UU_sx58KCgem}5^i4}dR83iwR&^#}5S@m&!+^MfWcYz8E
zU#-k-PoBev=Ly-FV=h#j?d1R86$$5eeV+Hp(U}j*3rfpsyQ$cJZ|xqN{cJQk`{=C7
z1wOpFXFpIJM8gjTy#g~P2eV|Ve+-QC!6|QR(2f~&bfuOr+5eD()*j=rw>Jsk{H8Z=
z(lhD!f~Ka|wvvlwp0aahbO~UVbMV+f4g-I#+8FtynTu<{{yW862u0SP(zo1ZVDpIS
zhIc#z{CXRVNBf1)lAznLQo{LOzkjh;VhwPXb8WKqAuHIWH@2Ev!$dFr?_+~y26)pv
zSwmmn8p1a^zQ1S7La8I2AzifwXgQwsEB>K1_zM+IzAR*+#ja0%ta1Z1Yvrpb1lqtq
z&sFCZE3$FWi;`q}*Z}|Aur;Pj#TM)ab>;u8W#iW0Wh;VB4A4V$-vx~_Tj1MSuNaf?
z+L<_5uX&S;8IzUwvs~@q$*&~~uGg~hl_I4qo+#-B-Iwb9`s|>O0%Nsr**H=Dx^(dx
z4%Rv^JQ=!M1a-Rw&g<T>G2QHSapNI2hFL$$Vf_%nqFZx!NJ;wAr~KB7k*N|Z6mHnA
z>m`Q6&u>9ZHXGBthsuMGGqG;uYF%up7_x&czwvz8*qX4zAEFt!vtH?q!XGire|N8M
zvl1Kc?U1@zwwaFEQ6BUDsRM{?vZ<Z<EEL?E2tK}?hJ<mC_BblQ<)tAPgXXd@Zj2|h
zKuE>BM;q6FVF1)O$AbSACbqqFUVFqt4-+@V(PDG~e*9i_h(lsxu$MUNrl$__kGaT=
zDFK+AW=5@uV4$gPQKD7^1vLw6<BbQz5d7NAD58^&j?!_qj7Mb549dF_R4fMH4@KJ-
z&!gi5nT4ts1tk13mppOCR}6(_f7{LDXvo9F>d!9;D4P2yFKxCME)~_Zr@y0OsjTU-
zZ+V)y(7=~yRw#lEe3{H7D=KE+q=d)iNb++}aG&J@5g5GBl9D&m$Jk!~%~$KyvA2u&
zc7D4Z^u8?(6^-iReYQt!rj9zU(LRyZ>T3sb)h_mltvYCb$$+kKN)4M>)$8~JwlFgB
zCds-|8;d=!-;A(QLtl@h|D6f31+kCTV_F3TY3E(OFPc(C4Wp$sGbU_+9kM;Bpk52-
zD#?f4?Nvo#qtSDhSQ}V7mU83y5E-5AbK2~`sN(g-dkq~GZD1fif5_F8jE#{hoCrBJ
z>^E2Yn3`b?H-F?5CdH6&ugP_`kys6Xnr@&xklb^ZPkZS_--&p|KJcY)iW<J`B2Bp$
zTY;VN7T1CxBC<liSqJ@A!*G|{^R;$X;8?z5&{Khk%5h2spMxacA-r@CYZbzKB?X7j
zasp=FPDwvIsg9b5U%zY&5W=lR&ad(%y~ypW^yZ7_BwnD5yw;ZyLT$F|ts@=;)M0My
z0%uM9ICFheL#_a{AC!g{EGD3p!d%y3H3FKHeQ;$tN_g&SLBHfgz>pO?1@4~+*f#l6
zkTA>#ZgS%p)y)J{sXX6hUQfi*Ro>s+viU%L<YJPTPQcC=tSf$1Bot3`!oIHN!;Y}m
zFUs2q7`-B{y5#{GE2@qM6{+xHV5@!Vd;=n$=&q9qe4&Mpw3h!>Xyt*K%jz?)P7sm4
zN;{M^PQhmj((*%3^WbCc#C@J33A=*3N^i{7!F%pAjDiDsaHzJfSm_iAcVq^h{Iy3H
z!(2<QM9t?xNlLT}NkGQLfbgzub$S>(i}%!k&V!|aqlPp3$fy<&+H_l!iduzr>lEkk
zfGlrzFSt<B3pRCk#xzn<wxn@u^|U3J$k)C56Gg#J?HA-d2{g29{&ll&(h}55Xyyuj
z+SnZ<nkZaO$F|UU&L;9a;H?%O9Cg#d6;(&~s1O)<s+hCZLWc*G@j;IfPhCukKFk%p
zW8j*YbxCLKcyK&i+}#@}IiJrSha-hdT=jKhu+(-Q_@2Jcjy|T3LGG7#c7?Fe?|JmH
zPnUU+*R=YEx~IfXL0-A<Y}jZXX%tXC%!6=+uJWHllD@p+kzUgT8;|bNpT56D(u3R?
z`c}y_{B-oJ#j!FDW(sreXqHI!A|6&bYDC9q!RGB*K3tq_VaUs53V=<`bz9s($3EIF
zJ(n>qE_<S_*q$$d5584*Zfs%TvQ53wcMclh#`~K%DtsZ#WL#^1BF)6TjT3_}ei$IZ
zdjEcg<bD>DDIdK~GBL0qub=`9an+)v6^BD5`Txydnlgih<~G4{#k&o0$9zT!pDF3N
zn_v70&ST-@#)qwY4jH0Cb)rw(OKUjspyq?DHXF}{T*?U9YKXQ5Pcq_<+koB6&HG&?
z{OvLz$o(=h#LHIO_6Zl+!hP+4r&AqlEPi&aaN%Q#FAm&29Qn@{goje(z7jd8c5iCq
zXTAYWwU#V+e#s7&G`|WGFW{i&!hj!_Vz`*U{bl}r2NASw%^CU6or9M?7W*78;$U<|
zPT|075d_Y=5hAmSgF39j<2|?7_^ms#)!SPPp;An3x`2ZppZ4GQEa9}OxKZtRvn0<?
zxhc?Ra`4IMKgQ+5OuSwArMpHGK)+rgx1pSkFExU~irg4jJRr4BN&ryQki`g=^abaW
zGrs3aa)t1?)YWUtC7ch~_4eC)7K+RFULp-pQNiay*9%X8p{b?*(OxX{>Ad!k7pad?
z2}9T-nJ>&FnLT*O#0;mspIAa&blNt4!D0nKp6RixNA;Qb!EtPYNYKU()@|K3D}cgn
zzphvBW}scbTopTt7EZT#f5_GW*rhvQ=vz%k?Q=I?b~%yopbVwWb5IQanVm^a3Us{0
zlX~V|Lcp&SCx6XTlHPH0>41$34XYm>a@_BriJvQu$)DkgA&4VPx^bF{EmIjayHqqV
zxcE@Y-+B>TK04ao+oX@`N4sQQXRG7ENKhwwh+y~9@2;Qs=wbR7Q?~^?HS`D`d0E<R
z2L{1wo;=}7-nl60Syi$szIk%#xVxmUJt(-D=Q^m3a|Ygfb*QRJ`pDhS-o3WqxM3En
zs-A)`W=W4d4pl+g?!#q&{A@u{<HEzLJ6f18<JuRfse<C3-!*zYHqcCY<CTtNv?m*1
z_Wq@eF-|jzN_{0cKlXgR<~tIWHvW@uP*uUFQ6qB#d#oXhOS3?NB%k*o&DCE8o1}+6
z_xM}GXDMTHgFg{{cbAWt_p6{$-qeNsuU61Bbf(d$k$}G1Znv4vs_5-gdBY&s3c6Dp
zI!l%jkST9QNW8C#&6DrCo{tM**}v;bGkZ0$jM&uMHD3(_?h>EPND#v6(n!v&R82gj
zGBy9tOEvr(FcheyBZRz7ro+oTH1Uf{*n-gm>L{P^CfebK0P>Uu`WIPf;w1*@t%H>Y
z7G$(IOgjmnaqaE{G?pfo`<JWio2iMJl-~XE1ANFnGWgopSQBA)!&aAWO-z3_FwZKL
z4=e8Yg{3)aqHLg(QFT25lkGThn{D{;5zp^m60V892XY3UJ|^Ov<-?SqZ#<YD)B4E0
zuZaYMp0BBGBz$~qt9N-050uxqRCN;x$Ugf1wxz_Y6z%@zB5xk#YB6}sSc!)+Pb}}y
zqu>=Yvxx^1Zg*-tdQdroh=sCI_D8+7@we9HE#W^bp<x>?+?h#4lGDd2(RCfXYb;~9
z?x7{jxuM3Dw;|!>O}UqwRP}H%Q_gw%yd|t$ZXV<OlZ0dY#Laav`dCK!+A`yaC5UdP
zYAW29^tHb(k8NWl`Pwr=S#7T+c$`+Z>p7!^vP^^2z@;?&XjoD7HpmiwE)!Mli>F`;
z?^>RrmW2O|=43{wC79~%Upqfu8=Ys%7)O7nW5|Eh-kdl~kdb@ipLALW>8S-<3AGH|
zV$b<TDzJq0S)QDrJGyxJ5XWX|j^te`hB}EmEMaH5b^5(8dKkUY$(|6!!qd8^9zIg#
z!Ji9_1rcggEPA@LMb?9jtG+NsMQeFb5tZzBv5bn;9~n-z#vGhB;72oVNqliJ-^pwp
z4IP>kIs!&Hm_gU;yraj5m<;{5Pvq!$mm6%-a+iy;U3bRjoZ`b|R#VTj8+24$p53!@
zy8&LUsz3dPDu6boj_!7E$+^wzl#k9b#NS_rm~j;Xpe0KOM#(cV)zeL>HCe*#rP}GU
zB)uS#=L3aBOnlV6t@Xq&Lo{`G7}2d_1usNdc7Bd5Ec&^kaD|l-_MUpRNT$&W6yi>s
zeS6J9#giQ~$32WN-~?~YuM}&DSh`nb_XalhxyP8#U2cTG2)!0pJZ&H)fmB3&A>sV_
z<#oG=M%dIA`s6Cz7Nql)(*#x=%>J?W(5@SXcp>rSta<&mkS1)KG(5&Z>f7b2BAOwx
z9xW7@7ukW?osU`%syIl$v7;`~-vImD=IqSz6@hZM*TK1OIQa1Gnn2|Pl3s9>l9e$_
z3`M`b9_Dp((8RgXsd_I56<seq-*-U_nRzka%xXD!aRbkI%?dVVwC<?XRRwr;vSHjX
zorA}Y`R%Tj^f<2LT~U=ifNE&y;jTp-<oxE&+xLKhEOAm&!*+o6k;b+K|L+%`s^QDF
z(eaSQ+qCXu06%X^_ayqUvEyaCRF5VN^<MSA8qEYKDcrneRx1lP%I58<O3+8a*UF8N
z{{bWxTCrxEvhYx!`DRl&UG#f1G)77WDE*O=bU%`bTNkPJmFH7%+IRDl`}+V~9FM(=
zL<YLcP8Qz`A>$t_PyPvsM-=b<=ae%+$F*zL|7C^}kq{p)Uuy=C5xT%D*piN$?>@6^
zy{3sDQZ<cpr2%>>ZT`*NM#F_g{+xYO4OA%IUDF`(g6^H{IdgNVIG7iyM|rA-U!Oj8
z3So*N+;WH3@B8|Aa_Z7Hk789Ec^1mqSs;S#$4N8I?e$RA^rUS>yb2D@VpbKhMZhR=
zIbHus2StaHtVKG?7&2Tl^)A~Ewta7Ie;A{UW7n$l%N3RIAV0k87}*Z4MtJ8Pm`}k+
zT{3jB%N%sj3cKBV+!hY*TO@2CX`%jG)hpZ{Mbx_*c1v2;7K$@|nSGKYW9*d`S!#C`
zam>`1TN7ae=l`aMpHm^>0Y2G_+^UE!)yBf!pVrW;uq}0+IT2&ND{Pjg&A}rFMk6M7
zSVL}9{Q>JB0<uOb?U!GggVX;;NE!WBK;@J-Dc5QuGx^Hg1@20CKBZ$JVXGBX46W8V
z$d~YZMQ;3nxiZ@RyU2V$AOt_J6=ZePK-$8k`^f?oWN30H9rsA`RsLAfJU<Qm7iqtq
zVWx_%7w$bgJ1Kzg%E?>BIvTh|+fBpyg(|{@*@ny{0g!AI;M8|@bbmN;aYwQm7C9;{
zVCxIu%-V*?vmNTFCrx(NcT-2HZQ`5#xA|~`aLMb|b9G!;rfh0wqJgn7D&>`{_%J?j
zTEpv$I{pe4Hnk8maehp5=a=6+Q1Q>IQc{)tclP*ISrr1x)W1!xIVZ{0m$&wAU9N${
z-V5Rlw20^zsDHh184t#$7HU#1XkhEj0q0YeBwY0C#w%$l9t1|KY<?l5iG3b6r*8X_
z(T>(pA*i$jFSC&Gt<e&X-1+JEDO(FYhRpf3QI<fV`J5<GB%u1<b3J=UC}_G%Hr~R~
z5<a|Wot1EvfGf5q$enf9!GUchL=A0AaBJB${cZyhbw2dO_%!LF@k$#txxW^0rt-nu
zEG`MlC&`3FcYQP-EUl>QvViK<Z=ar<Nyek90ey{ORQ#+kUuU?{0@VK59;qBAW6|&*
zqt+EP?Cxwg-Sxx*;sQ8JN=CFKIgmXg+nA2eD0@bgo>{<~wU%cHa@y$ldqU4nje%1C
zaj#zfXaQS$pT@Ww>EN9Dr{Ffuz^YtF2R(U9a50%-a?w{87sw<`ntf%WTiLmI7ojEa
z69OFGUe-ffjU}@RI$7vs7&xFFZV6H9fA*(M=%d#vsUL(oHYU2ZIj|ZmLDNTl{_r&_
zZj?zlu(FhcHT7XiY-1jH?hm)V>rX@aKL4u)>0Dfpy+<|n0uOesNiDO`qvI7;*y)}?
z16*@LW@rnO51+1la>{*0$3h!T<E3*AG2^Utec@d`{9gUxrBo&ZJ6F++YPt<^X1tS3
zg|7fkb*V@FUd}|Cc6Qgd-9~7;!T)kJSqLA)_B`sAX5q@Jv9(U0jquF5&&ob;g}}U^
za_mJh3zv8Qt4X&o#*fj@*6Llef=>0v$tdAz*M*$RAKZ-bQCz;shhx^j{3qw>{eg|T
z*9VuAml&f*Z5!Wgiwz8)w~`O^<6zDV=8t)^jnVcEr(VI)7S1j9d|cAZ!F1AUX6k=N
zNP_mbF_s<VtPQjS1{ZA;)%PzPHpFk|yl1&i*a2Zt)!3o+T)Zh2dDU3U5VhX?T)m=J
z1npV-d;BA~cxHC^HFXUGlv3|Ky8eI|&ThJPE>bdo@;h(sk&hg_YN(b_tOk%JyQGC8
z`3|4O)y~Oa<9>odmA?nT^u^r)-c&BK*})e}j97T*ykpA26o3OE|C|L9k1TOIUUd5g
z1D$0~=5y`<9QnQV!Fm@Ce!uJZ?3+0q^9tQ*((M2{x3>~R57?+x7OyS3MaBOC00960
z43~E})qfO#?d{ro&ud-dUR>L`qL507iu_6xDrKusLPe2EQBqVSt3_qR_oU1u5gCOF
zrR;3V&%fu7^PJD~Ip@6Z;n(;+pg#a0*Pz|oBcqN<YO1`|aq>8NjzfB5AAtDPdd>&l
zYUq)Y6xB}1;BnT=RK|M%HY@Kd`!ZEA&m_@ci<T6&soh9&ECnEKV-P<YRj@nRp8Mxp
zah&s_tiHVnVD{QkSYT2ajZ!`sM;3^panQLVuooaVnM_F(Rz@?*yD7^?VGK1s=&7m&
zP|VgTTx+O=-F2?|LYhLDQ?OtEZLc+i(pMut?@~l*+Oz7m%K|8Tjr8u}E^BCUb2>oc
zR>1Hm)9DjV{CI(_)Xc5b3behyywyA+hZ{cJZyP?riy6w#dAb=^Kn-F3+chkMr3xQ+
zoe|~1t}VZFSsq(LVSz!1Lbx<KUZl(k338*N;cA7etR-;sTe`28m%`-7S$pJtxbTQV
zc(!nY1z2znZT&qUfsu_Y|Drg#P;DsC!+ORX8Z|@?OA+Fj`&@Cy#VJl?mAbh8v6nfV
z-I;OBvs?`CGB{nsq`5FFzW%o02Qw(Y?Hlp=y(re^^rCSj7yb!{lfP`tph56#jvtFC
z+V{yhHt=(!C7fb;_`(!o%|k}6I*VXvkDi#wJ8m>cy&3mH&lJ{$z1vw=E{vqmR2VDe
z!3d7bFWU=E;I$<=VV$Kgc92pH`D=JFkK<lnqm~IQDLt)b^ax>S;>`TQ6d$Hcvd_6Z
zq(iF&FV|#>5O#mMY4XR0g!(i?TZ%CqPI;ejjPVpg$M7J_A0+}vx#*&uQezBplNyP-
zHbQtz4(zq=3L?`{rIV#D#!zwS(aH6eLU=%7GC=Nx5N@Fe`1Xz%!Enrmm*mYtm>>LD
zf_0xTYQ6K8+i=DRMBBfF+lLBa_RssBmhK|BN9N0MhPn|vh*eUjKN7<9w@7#K7R4Ju
z9LHqe8N!iN36Y!sgs><vOygU$80vo9TueJ*2wDN;QQBJG3C;k~8wKK6VOw1>Mlpl{
zo&ATqx`pv*^y@I~UlRE3OLuwIPa3@Db(IO-FM=s*U1!%@O5vxf^la5a8l<nUQetBl
z#VhfPmGL>!xI1e0%F{3!s4k?DQ_DoL+H8039z|KS$Vd_9a-hMxU1DUz7%@D2<H09|
zCvwPo*JQR+jRyOF1xu}Xh+~~oQ&f|i0#^CgvwY{H!9Vs*yO%af;8$sGxw8q1DDv!|
z0Lv;BH1jhG^qeIznX57V(orS+UX!v{<}VfgPPfLz`AMOx{=L7S_b8)VhzP$r7Y*{S
zGY`DDDvct;Mt_d%RKXjH(z5DGG@xe0OM85j!J~SDo<loSkv#7=NnWed?z@9vnYtYM
znEy@p->rt;dn|HHPt%}esW$n|d3hw)a5dcaR!1#=p&_rPwRpawD``~$d1Z?Ht{f!e
z!k^tEscMGMM&`KFj*9p`R=4s|fChF6nCWGw8o~p&4Uf1Il(6Z)D>`L<nwZA=y-!KZ
z2y!Bs`O{pKv9V)^?Q1tJWYsmF@he#SU$`%SMM(vPofUZ;sM^@>IQY_Qt$(gL<ZUgT
zP{Angi&Lhv+UVz>S9?N$4wo0^`CTei(fh8m6#0e@ri*@AIsb(Y%qhwj51dv*;eM9x
zC<zM2qd`JNr3r9lQpYb_t?jo%kHlL2DHt|25f+qZ3NQ91UZG8>V|n`EC5!VEv}jxU
zw&j)?DC-=#6`evx1-6&b??Whfl-y6F-7troA(xYBG8*{bN9TY!WeVQe|K-5OGz&QX
zUqBV6Xy9<dulyg^bZ}AY9>pfb5(b$R#S?yNpzp|ax%p;o{KAe0Lrz*j!$#S!lggU-
z&!@1ssYweP9;8Va{$~xDg*V4@Ei`ed%~jg_swS$p_0C)p1-RlAa9q()6Q!nYc>m~Y
zpxf^D3DW?8F-%&h<<i8PLY<-U`ReEtR=Q8=1%U7vm-|A62Cghwy$Rt`!yvwiYXg%2
zpBX6^#ho;8+u)h9mbE_7t7=z&D8&GgU;can)nsh^W5|-9tArg9T${WM7?7fFRVyJz
z#*D|(QGcctaAvsC$j^iUCZyP`E*Et?CkV`Hm9pp>6c|;a$ABqs<MiQ^YS_vt;v7*T
zg&LZ!qzp+0I2<}FT9KiOk1Ad6&ixQaxkEi3<ud@)Ce?3y3RUov?y@YOmnbU!i@nxS
z3-GN>wBqS=WxN$}kTXw37;SHrFjpl598@Q2{0JpvWt*P7X&{LE@oT95W`MaPB>Ojw
zikKe0;mSr)ehf<N{r-UqVCLF$NyDcK$l?0LVstwX`rKmBs3)y~k7p$#Za@xOxuO-$
z%W`4ZK3dPsK`S5<cTKCS$fDHf^9O}{IdHh@_h<eMRuI`XB+wBpjlP#J%eRTK<3pB3
z!Yyx&7l;3hc>IyXZGz#oG<`PggoToE4oh%KV14oYj0E=hOmc0^Va4C$d3G$m77)7g
z&;Z$395ZR>ep~vo;>H%<+2{syAYO1@+|DkBmt_Z}RgSWv+WxUSQaa{PxAhu%?;jDo
z=g-=!Rl<rhkF6EFub6?PxppQ8lL-3n<ofeOn+^HOCok47o5G=!Ho2u*!uVeum2TU{
zhC_BU`)>M~g8BI)$+v=q(9)ADD)kOKE+=2(QtCDVp;h|2mQFzocR0~~;2H;N-+Se8
zagzybSzUf)=_ZIXIbjZG3OKR4poLGUjt;T3{hvzv1<+=f;>fK&F7(^}j@)KLhu)au
z^V)U-SoY*)w4Oc>_IKX>z3|!?>^Yl?dwWQD@Bph@;B8*?4`9d?I~c?1$)euD+a$c@
z!)i#^<j2p<V`GvZjbMHD-SO)wB-AxlNgHY<p?dJ`s)OD}phmwFak`L%ri$6+nj6>Z
zy*iTAId2HU{MU5$PmyrgX;k&UHO};?UO$$8*$^DbB99&S3SijJ;LJ{IVLUyMq&lT<
z2pqg0{EyEIAlt;_-s3JJIB@iUo<S!KGS$DjSa=Acsf&-n`s1Q#Rh?e?cx@m0a4Dvp
zZ4t!S+y{5;pNe6B3Fp@i8V!oiw`FFy3L*Wu=YiB!addqfl_54pg<KMG;qs&qdfR{5
zPunMn8vk01W{asH_~7_TMwT#c_b{NS_DW#_Um2Azf(k_f4Hp*niJ;;QhbhJ(8SD|M
z9AkH&!pP%?dl$?^(S6@~5mOO4bk$1Nzo$wCImN};ak3aD6HVE{?eeG~mUF6-hYI=q
zyIOR##E~WS$^Cz>ib$=Qo3&gq0Kb3h>=zjlDDBv7V!Bxg@7b;f8!Q=s?%DK=*rSqY
zsmHeG_f};r$cb($VW+|`_s+1kr&9Q<;o~~<y(%buG%IypfeMpWdbw4+GU!-Xw%8Y;
zimx6o%7Y^n4yD^Y{%~9tFMC#g=SWvWyB7kSy=SN}B>RIMR^;&bvt`2#mFl=~s+kb~
zNCmA7p3ilc6|nqCX5HzpWQ@6D5^rR@#-qhuvQC+b80OQY(8jKbU1gr6-NiHzSVvk>
zh)}|>mMd^lMGN~5?<tNnGlb4ttb(;Wl(DWXA%4P88}rQm%cS=iLaklf6C(>1JZQT&
z{RK@2mE^-$YOfnXuxGvQypk%qPu4Tvm!#mPo%%`d{EcC~>)2LN4mIq~QGPbvyA}`W
zSF>@Z1AOW&lp9h*#{7e=r^9rSy<|{zoudhCJfI(Eu=XB~UE2k$zv!aux#Hie+fAYN
zKdLc*JQ-Oc+RQR|^>9XSS8m>6Gq7fTy+_kr10Nl&6eTU`;y(NGXZ}g%@aBUG{cEoV
z-s=CbSawer>$g6}3lA+o)p(0{j+Z7{jr#VDvFl<?*2|dd&6e=<oa3Z^gC@ees51{0
zDflv`wLGui3QSIa4E?~Xg|J8Y-O`*kzL6CytsGeM<dg1#8Jb#X`An8=@S+yRj;5NY
z`2g6tS&83P&_bFRy?57?1|~WMzBu0qaAvE5gXEYd{+ik5_gIsR*KY2X`z*_V8@vLU
zF;_Hk*RI-y5nDAhoyWQFyBR<#Vhc_Z(!?Q?v@_k#D#%bdo79-VfW>y-Dakbt82!w-
zV&bvJ|MI8&@!1UUDO#*x&L^XwSl9Zjuksi-oRHX*!+@ONf$X1+>d2WdXm;9E1~+}J
zP?$|)z-ikXK{FrKFp?hbqTDKh1)8@rJ|1Jh{p^9A$?sKBleMj&>!~Q(7R7Hm>%@Td
zmv6q6B~;MJuKp7I5<=FJyXg+13@G@NS=jMF86W93Z`Yb7;h@_wWsf$1NvG`l=PoOu
zPh4^9)dn7PQ+(*ql>jikrB3Nov?AUMxA4B^z=^`K=8=V_0PVFGB)<>H<2Slkc+?R#
z90?`VSl(GfjJ+H&(j$vT%xSTgv{*3r>Uh~%C2LSFVd`WWm&UEn&SbkEWm=<@0+&gM
z6@aSc*%3J@v~S<OCD7v^A;s9?J^k7e>U<Tvw+2X{8uifm-Nh?JMk;f>rkEuVHOIoH
zzlh;cuC(nOWy?f|tXK8I8b_|fF?b#*iax^IU)g&t6K&dKTC^&2m>Y<&?N$@P_O{OX
zy35PNouaV2!D8m{p{|<B|5pf;?hMVU8m$n4ePyGnL1rKj<a+!1tRS|VkCh3U{Utj2
zGry;`nu6Z5!yzFgK{SXOw%5Ayk5DOYP5DbR1>d#=f=D8vnB$=4Z%HOh^!Rfq`lbmi
zMmCtO()p3DuA$4q#f<(%`2zZ!Cct=jGw!VnA8M~gr_KwrV1G8}1&s(gh(>(Rbu{9|
z*aZiHBXm|YZMjnx{@WNXOr9GlKh1-eCQ6Tthp?fx<Xo+$k1<HAG>gRi<HmFy=R-~P
z>^M0#p|S0&5s<sy+M4HcBX6LJGz*OrMQfJySl4(_SAJjq?I~`goV3)^dCrAiUp=;N
zA29^g^QIj;Vz|-qO8Cg$Z9M4FJK?r3)DY&1{ycSC%fmk&-$mx;!{p<l(avmZ9xK6p
zA!(5td)?oM`F`d{9{aE~hZ{6VWr#+R0(nrlCcfFNMF1nVhT5E7<AOm^k28ah7kw<n
z70V_Cu_nJBjM}NNpCjkRr+2(4VErbF%C~lZNVxxcc#H}I{;?tNOZkw$N>YW(Tm(zD
zTX)#5?fL!M<JSUS@gvus8zRq6iXtt1W8Usg11NYgS8h79#>L@dQZKv2aKOt(G9bkO
z-o@<}UQrjsqU{+Yw;Uy~ZqQ1J$=Lv|<ykv@_#ucgl9zp2IwUbHD`?v@NdwSVb8XP8
z5<>pfnmu`u(%2PCv9bN750gQ1HI;e77*+hiey61@3cYMzJz1*{b)Nm*Di1{PZ=S`E
z4>Iy-eLvTKd!argo|m1MBt%g%lfAN&R}oj`b{e;3>H|-qpR?_l7^=LzLp~>|gj2$C
zN7QfX!=sL~CgwB=4B4VyQB70EFY>>av-0%e+KV%eftMvQ`emw7|8A8vFHq_%eytB&
zHgYLST+%obwR*ediYlfg?x%g8)Q70C53nv>26ck+S9;pjaMScXruX^=P>#hD2dw1q
zx5w|JH|5CKB+-c`XAB^Vd)NH!6?v4se)!w_!y2gaz_7b{!T>lWUF`Jy6mfd-!Zt>g
zCT4AawO%Kf3Z7m}=L*;M7spZS&RlM7bgGy5@RpwjN@e~etu^i>$Oz^nZPdXtW7U%F
zuW4}4=s#N0nos*(jw;^~NkI^e3YxiU2=?yZZ52FKF?D>n-QkihKBp=ATAelmX8%b3
z%U){8CA*jRaf}|yxqem{IcE&{0nBW_z0}b?3;&8M>0{!#yQfw1=-_!qPBeWN8M9?y
zS4r;I$L0F3!$Z9$VDxTzB5<7s?mdziz2Tfb3KRS@AC$}>Iu-ner8KdO(O0b)r;mb_
zZ!I-K%z<luL0{vOCKfLW-cxkd$KdRfHlG_TV0P){(}Q7JI5DaI!edSkE&3|e-bq`5
zmB$vc;e-}`wySTL7|}%?Zxd&=z1C3Zm7D(5S{o1V>D4-#KtV!U@zD4NfNMEM--Nui
zG4drz{#>^<P9|~`<+lP{G|lsDaMQ-90}5t+KQ(dp*Wvbv^$bXIP)}@?(nfRoPQs^_
zj1EbZ(H-|0z-P?SRbQlq=Kkw<+Q+D2g_HUT$8iSuJ$m_VOh^mmLX(dbYpY;+KYMV1
zoDE##RJ_Q#NfUXp**QJB74iDQ?wKW;4LDw@P$7A1;42;Dr@S;dq=u#5)me*E>YOIn
z-O0%Q$S?cVn!g{KEUo2U%Y!0;+$T)bu_^tM6^Ta-rFFqnbA|y2IrJGcb~SuCxzd&x
zFNAJ;Fe9*%0V}zF4SjVgNRIhh@~)E)#aomHyTTaIlQjCHE>0Ocmr4?xV>!|Bi8ZH{
zIs-EOvgo%MN*Hc!SLeXVihA>L#uo1Z%w|a@JJ=QRuE8jgSNf0GTIw?+9Ri@TO_gSH
zUk;mxv@Y!FTp&)wdl|eD0Z6+pXcxO%1}~1ixgWb}hWKkdo1D1c8pi6<mhV!faJP5v
zUf-!nqL$yf`u<%jP)_@9W1%B~$s@P7%u>e)PI@}^`G6(db?;2h-6)1$FFW{^tbP&g
zVIt=Rlq})AIZwCr6%jnc{*+s*>L($)CCwqn#{#q+)H_C3g)r~H`fU+`KZ$SbJ;%h0
z%t7svrQf5gf>_ofa{IdC2+_mcYu`L?2Jyn#?u~1nFQ^(bvi0^a;$z#27n8ji?A_Gz
zYP}~Px~yK=xS?j02zV&|t0mJE?k`ry272)zy~sEy;P3>IRq^qv^_&UV?K3Kj&*Q@D
zy#jp2j448LSXO`2b`ub_7cRJ}&50RjeMR3aP7@pnGitw|)4^k5yMEyaJBl_n9NqkB
zhDc^xIlwJXhs3?Aiod?F;bPi%508#H;@j98<@7{jczH7N`W-el-1Fq({h`SPf_m=m
z-T1||ITdQv^m1p#_N$MAFK8?i&h<0r-vk)J^=rlkY@b<>HH6P;OVnSYEMfSC)9@Nc
zGIld6&axnV+x;W^##V_Cg@G^P-iB~Wvg-ifP8NK0Z|ApVD`q^h`5CX$APsUyX-oZ^
zSa7huHZbKn3+|>pS3TlS1Ha>Y(<2VB;M=X*Bo}rztdUvS$MJ^>Ceu&Kg0oqW!|v+g
z)92VRCBtxhK86aXhz^hDB^K04tcuN2;>1^TVV8D@P+@9lBXf5sE57xmd53j!A$$M7
zON;^oa9{myV@qN~t9v;Qxbk_>yKA7b$IbwvuUTu8>e;Z3(3(ik<U>1c^IKbo_2D9w
z<eQMij*2OHO=+bhT#(9{>%X86+CP<cx?JZ##&(VO+fN9h6i;Yav#~xD#tX7|Jmtjq
zf`cy3kA=|huf11yiyr8e(qFWXbK$_Qib|7z!pJ6VIkMS854;X7yBlxeK`zh8dGQ0H
zxGt^w&G>U&fMb?R<{iAq`pK?mc|;5~jT@VKt#x5E{FYBwEI+1*N*$WNAc2{Z^-KX>
z6nNv|vV-O>fLYV|eEgfGaFlwe(=e6-)EU3d_YVaz{r!$K6{-w=+Ew<0%bEg>-_54#
z>xFOw`TDj=Q#o83uMyx8qCjFqdCIy)VH|x{^0@ba0#@$m2`*aF0mUB&`(tfIk#lIP
z_QYpJ4EnA+Tm4T50(xhq$_m8rW9<2~0x4zWV>#g*q)35HA^W4|*XC|p>9+X&{wnAa
zSD3TIn*#m{2l-T*B~f&v>;aFrYxmR%r$7F0DG<Q)_UMNMX=E3bekyLIj;{-+LjLa7
zh2G-JWIb<LJjPKnw~ipA>*+X!XR>-wFNy`-?(!&qHvP}3jhgtaiLOw>sShIJU6Sr}
zMPzN+)27^~g-@4%-k)3Ja+a2%qsQ7EC_|Dr<qOim@$5GbBi20Oufx&m-auu%QM8{w
ze1(Gj{0u#tH4pivaL_O#Qw5VluUU15>tS1m633tv4T@qG8j@R7aqoneUBE$oWR^^9
z)Sw!I9{*rp3yV5_4$*yB%VvO+^huGohm9acehX8AAsHuwH}-6eGr-Mf9h?;#jN!;o
z{M|pE8u&2htKqdi12i-5dr=Q2AUX7la`>1gPUur>H3g_xleSOF|AQ$6uB&iQjncw|
zZH)CUBr2x1Nol4An}cV}<A|&K)_6qsy;0a{fbz#}<(s4}f#NRU7^|#<lGhemJADjL
z`C&rY$7(A$x&PfvbEytiN;k8smFeT_8^#o}CcrLgiB-KY1v3)@TsiOS;lX3Ihb;yH
z+PaG$Qs@9hK)SyaRMXlryDpr9LJgvSGtV<1L+E|cZFvf6bkY7Dn$|+`l;k8K2^%o3
zcoa5WuY&^{u5!K7*T5TrTbGK?*uZ_A#$P^$I+(0<!ZY4c4GkUFSIB*|f!1Z;_C#N8
zq%+lyHSSWzD!tt=TbS3usRWlxe7;)P#&tOK`nWvakNwU4QD7bXnX)=#Yo>|fq{0Es
zASv9LdhA&~(>e&8c1$cDA!EcRVcx@@qBybcczydP8_2ggxxwwEI{plK8S*4e052Ur
z8Xa`Q2A=Fm336ptL#gE9tn-&S(bRGsxx>K*)Lj?5w?(R8H??_hLn#yLTUH&Uj4^;5
z>$5{=MhTst^i5rzoh4rGyYyuJIR;otT$e2mRz&T^>a-Te5n}7~o&NnY45%{<`RTGK
zhkTBW*Hx7|h@zS|TTP1qZgX(*u~B4juP7xo<Yk(5$;8+39&-SbrzIn{=Oi)8nkC4N
zrOo<#(2!7Nx-~G@j!o6_i6g}Q_muzA7waXj;cBd~0+wG5-aaUT(add8E+@WOJ0~WD
zI()MPdpfBt_?{5HHHPWK(Sz0ni!Vy;1S~<zyxxuFumHZDW88kGHDn$B$C_bkV*zHN
zW?vcOyqNd!o|Vk|LF*Sx4|cjon!{|;%9vdf7w#DPED%)q-Fm7*FQcHs48)pL-()Pa
z<HXD1T>IIt*2}FVHXbH3xR}+`CmhX+OGnDt6dw0m?``<{#df192+D5G5O!cjruA7-
zmq&Z7J8M^C<T6d*$`7Wk872RS*4`hfDIFcw`92*Z+otJ|`76Bn=eA|yq0^($=c%pM
zbd5dVayHR{g%p-u;j=(YfB3$1GO^CuvokBWv)CAJH*bDq)Hh2MWHEY@XJ1&Sk9}2m
zBy0>8@=g&-&;AgCMHW}3yb`U2*=qJJM;ZY;wej6*{}f^MW>2@h_7g%@%{V)0?LIm%
zI<Q{GZIYO4{jOCXTSLeV1ooPE7=qHiPE{F&al-#!K(7w1nJC8%c0H{$c;$CL`V`M7
zVOsXx!|YQVkrA|nn;mH|R(XuM+3Odf%T(0m5%Y=I(#{hQQBMUrd0)Y#)CiHVTBU@t
zpNSBblO`tiRIuD|oV-o*Cy|{U{*iDWAmDs{LPWCxjIqUKmY(}T)a1Eac@}&lo^bL_
z$!#})eq~E{HQgUXLY=Pj6P6)DNLll*Sie4u^%~t86#qely`4Ug<o|;xioeC{6rc~~
z#@PzamOltQ9<zyWXoMIYtPbA&R}Yv%DPr$${UD^93(KxYjuMgbhst)Uuf^l|{t`w%
z3D1Y&GDEZpg6UMCM4+oK#EaTq^<y0&I&zJUNAgS&?$0cO63<iMD2XBYll>Q=?)3YI
zMCvp#(xR7}QmX^1Qvc0rTmB}{Ep1~leTHy7B)%NPp##?`I^)Cnqr~g?8Wo-^vqY(#
z^CQ(w+VHMsQ`PxR;{-2hQ0nr~JmL81N6wuaT5xRdu$Z#gB+=EiXV>cdBH=ybwQl6M
zCKMELHbf~+5r@fzS1V0c2tI+TbF8+SP;&KrTkfW50xVziK=D7~vn=a2=DQjYe*E3G
z=9_<rk1sawt14!~DP^|hzw8>Yby&GEhBQmuZk6&GQ)NNk-W{M6NQRn8&YH3ZbHu^(
zkJ}y+thhY*DE-cWI)ttN7StZFK$JO}TxdDXj{e6#|E=4h4%ronnps{;#Nx#>8b^+D
zVqL|PUE>{U@L=>`%$|f5B4jMdk|&uPH+(WlN%l~KfhrE}kHh~6w^cXdR6j31+G*%x
zGNKAOw$67HUNPb2{P$vlhe`PN<$I6&r&OUS-}{xZ{+j1R|F~d~DToz89Hr$7s-X40
z=H8drthjLN`J#=QFg9lIEIHSt0!<!t?c`JJSRC`SBlx2TcBS@3>^rRj->UcR<?-dj
zH-U0bm5RmiHOcANpq&b|Gh#L!ILVE3B7Fj_PbDx;x#R0!DHX7~Rph(e$cuV(Mkr}S
z3cI$?POvhmz{WX;W4@b7SobBeV!w+l?uxX8nk8irA3Wy*34$n+{+ePmE00~;ymQI?
zD)9J&#pE3xVXS|6{L!nQinw^|8r|JO1p-ATDPJCoU=Hg>&OKqu7+QQ*=G_GqD2#Kf
z@{bn7avj|hR3%juu#^sWVOE9v7g*ZUgC%gK!^C&fs2cYFFy=70rwU0d-xUvEk-`+Q
z2C3!_GI~Z?TO}S-gTj0f{lGpMoDfQ2ob1)aj6Mx(k3@C&9{>RV{|uLRJk@U$$L;N2
zTgcw7aqqR~_t;8_k`<CjB&$iHq7;(RF#6dldql{%Pez0YNzss5M%kNw{ynefk8@tn
z>wMnlJx4P$e$ie8W&Y`Dy}m&}AxZbryuZsrj@O(2vctqsihZPSmAo>#mAi@2-INE8
z_n%p$ro>V0Q%tvnL`16nr{28?A;1I4m#ueCOCqVT<I7ryN$8v;*!X@_g4pY(K}+*e
z2qzrBk$aMiI2dqRoR&l&Cz*gqj10=T)c0EIq$;`-`?uxkC<(fDsmz5H<q)r${>M#B
z4dp(zBt9=!h0`TGlFD83C|vn2rD<6WHMO~Oo4!&9cZmh1>{A5PTzl~Vr@uP77Dk=E
zHLVHyRuVc(BZ{cnBx)-(Qyr;n6*#b(>45g*wlOY!WfWY~t%(a&N1R+=*>Sacu=`#r
zl<KSsGW%*UxV5H+ZqZ~t6(eEb7;DD#QJ#ntsz>i#!K<OSS>>B!odBig={(`VL^N{t
z@wRdc8SO3wE?Q3;LaTx_=YRhZQBdx?JA$GlBoo{!G%{rbBbn82ZX^;>+Y!aP(QeAf
zXTx|%{<Sf1@NA4fw<99Ie7C9*K?RhPc3LFC(F8oMbcf9js35gc-c#2zq|tF*t5uOE
z6X-~WxZ`=s2)sk@)rgCu9On7H_e&-~bA!=SOhyS=PF>;{$rM0*rylcbFPcD-o2liz
zCjn`vIgFjj;Y4>|Grf7=YyyRjSGLF(<&hdAwXhyFJ#w)2EUFAJ0a<z&|Li7<>OX4u
zhC3}#>PLNlR#BUP?LXrobzNyB*0TTfGmQ=myLo-mJlq&2D=d9wI3>{myiNHi^)g21
z<?J#wZv;ji7JnoDh@t*NE=?zssGzB%QJ~)02+WqRtG3n(Bi0n=psjd%cwjht@<y8>
z$eO$v<Zlx|3v`2pMjFh}l3Kd&iJBp#Oi>Xm@O(&dlwoL#!U{JBdARkT0mS1UYW62{
zq0k>|iwC^eq4?d0%@$z*wE(6E^xZi0nXTo0z)2ijd24+$PZNWq<!`6CSC|l9`s>-R
zA8~M3DvwUg&;XqKKmQ};(xO(JpfK$m4l;a}P8ZwjgB9036j8WC={EWh^ZqRkX8pNr
zb3*jMIf~XBPq#vOXLaC`=`|c^Idyx;<?F&9Pfxe#@M%h2b=8`i2o9!cT10I}bwFL-
zl0-xJLW#b})!IX0he<}uOk-&sxS_5bdF5mP1&@z8TX&8f6wZFEl@8PfN^|)UV~$T4
zqs=$>3j}u1AS&w_wrYWUviN}__6aP`fGMAbVXt0Jb$m@s3nmv?OUL;BU|ve~oh4N4
zVDk4ubaR9z@Zn;=dPyx|BhKuX-9_0USopq+&YT9s9G6TL9$Uq%U5%pYJ=uY=U-2-b
ziv~0kadMsZo0ubKsYz=;JE(TVS4{V*!;|<M)*%Ty81s@tiPd==n8g}3Ra>cpw`Iu(
z#v@c9H@4%uL&gJkGx_V$4{FfhV`8q<N)5WFZB9^ebAWZw592a>HR#AVDauQt1^Txg
zi*-31&{e(){o|@oW+EL+PNoBo^S2j_4{?H>n??2eE2{9dO};t)A3fY@Yf@5Y=YrMY
zCMm?B3Yo#qu0PH(!cy`18r>-_2%HRJ8Y(5jPPesw*iR<NE{G-a4s(NPLPEaNaWV|g
zJP*0+!2%Px&ZY6cdBDCrOe>L^478VT@qb@ug^tI@R<YcC;B_v|XsnV176L}}irMVo
z_WX^)ydyuDzHJI<@h8FKI3bP2(|9mxJy!axVIMqauDjhtCPBuZ?!x9w4(J<U=}f=`
z!6M@K{ad?4kV)R2V$0wJkHeyQp(8>N7HURl=_kUqOo0}=5-vEsb`fLF5{Bz}=YE`i
zNd%gO-W`??+<@~v>zQ&>6ex1@axUpan5cTceu<tJgk!3N1m1|jrujLou17?;^|nZW
za)b|xf9?HXuQ;TdcF+7tCBk|Nqv7{bei-V%oO^j*0+{O8bEHa%fMfhdA15OKgC8S=
zH-x32<xKI}*}Z-gej!_(N<k1|RcBRkkOr&LM};FSBye6jsyO4YADp$`{h56#1KrZu
zpGuFD;5Av#j=&=VzU_zY;kPU>-Dj-ectwI0;Y|IRaZ$K=vHP8swmgJaj;59?kzqj9
zR;_GY48qSC4r<(00KfYFd*Y2`P|Kh?9{58XLI<f8)_Mr=Q?^Q=;;br+dL{dfk4V7x
zdXr2yW+lk?$X7n9tOh2dy(>ABlAs=ndncf%3?I&=W}m{V!#54Dg~B;0kfI-_u2WWl
z-`!X5gtKY@mo3Y>&7w3Uwi;O8rX@m5JcEFpxF#5VF%CAJmw^IMj#W8Mgcp}CUhuZk
z0>>;Fr?gR7NHNoi=Zzx55cYWRZ=5!S{(Jsvs#y+#?r`WjJS0Lvs~JcAHywCuUfAgs
zClAjx*0X+HB?3#xr2!)~J(&5L_&`rj0VGx|DppBEu>U-^))cJ|e20D?t87yMpW>n?
z<)JFT%#1ZY{A>VW&YJQW1OiO`yGd26uMC7>zUN0+09cj?e9uo4AUm7}eikW$8Zua3
zNd+i)Fe;YgO8_m^XYpDe6=2i)OOK?WAyEG{wjMSi!0h+M&}(nx;Fjykb^l01NO)eE
ztv0IwkL(VVE8La=-72Yfu7iev3!6(a@K6A$UrX_}Bq=DpM!x)j(+IpT__d3c$-~u|
z?jXI-;=rTxWUPs71n(?v(Rh561A`AvSA_XQf#bQ0PnWI{++o?xEB_=5GFh+flFJ2Q
zS-KbJrECPW{M%Fh4Ki?&b#|RAjSpgM`HDB$jG)PzGVJw08Upc6M3HeWXzu-T)M>~N
z3|{~E?tM%OHbpl5kEq}w?ODf{$P_~em@faZi<g9}xlAAEFEPW4^x-_e!-mkrN3XBY
zDGnCbeP8D9<;Mv%{*ce>01Fn5WP@li_*NcM>zP0W6|X8EsHFqYo$_yw%n^Z*_E|gW
ztWE5|JFT{43_!O0+{nj+`(Z^;j;kVS1q+I^B4261Apdao2$@3=_yR&wX-gKcX1?=L
z3mXQoO7ATGeT^S}g$3P78<@jxB>pO{(l7uIUfHcGIzD&@63pz1)0m?CxU1DAeJD5o
z)8M7W1JXxFBrAA+VLbm4c?VwUfvCQtRYnpQX!H7{a~_()7|K(YnYVSp=JNP{O+HRo
z=<2x8_IL_gJ()`DZK?|#cBJziVR*ph3rsY>`Gs*e?eOR&>A=c6IpKDpJ$}?3YU0nH
z#)g9y4&+a0gRciERgsDnJY;ugFZ0Y{GRk*+8uhdRsfhkKD8~%e`G3yEZ~w*2L)F8B
zleHi%_HVUDJR^j&ez+{3y?_}!BgyovYr=ROy7fnu0W?(^KRrIbgtbJ4375KP!cp0u
zp`mzsxS~=fR^+sTWjfRQGq!1fxv*RThbSHR@dRuod9Gpp7BOjW)ihu&%+{OdBrS~C
zF!JlhZeZMEnjGJrsl%Bofel(+G$41?pq{OJ3!_4s5(dKRAR-|FH%`;QrgCIk4Ph6n
zGnQ{0d7=iZ+u2V{C1@arx#q;pV^rW<>ODu{Q-jENl0=Mw214~3lMZE3!_k*%2ZvKs
z;r@rVuQ%9ffU?FFv`Iw^iKj-cXo{;stFguOH4PfLV(`E&<02j0`V*e}y@(8Mr=xjx
z_jYb%`Ip^)yY!%B8Kn4Aj|`$&jkPMj_v(Gh_D{1IVKPC=$*z|Kxc(3E34ydQ&w6nu
z!i^dH$_i~<d`RG%H_p4cj}ENOi?=Tuu)@Axc0~~;63m%xzEAu?2gu^QQjY;U<oA#c
zbQTa{kX|cjpp_o->P1EcJn`^qpX871qeN&(Cez;QVu0Rhk(ql#9AH1To%-{i3S=}{
zS2iv)0!e>>`ltXGxHvw$B7Q~%o{D(Kbz{t6Ba>n_9l#Bv<Yca&pOxXZi|ONIr7ZBz
z$=SnWj0bFRm!)MKmBBF*ry^_02Gph(vj>Ctz$V~&j?6D55Fs-=o}k5nvU`(;z4$(e
zx^DFRNR$%j-E6i|oy9|>z6SrqyZ|WhGf*AYQiABXq8&DBPRI?LvUM910)E*Y9nKv^
z82MoEtV5Cu2nA!K=Qo96vv*_a+n^%kVgU=OC%Hj&l+~zMNDQuLahF+kD#GT7Za=Ex
z0VSpz1|f&Vp+I8(sm+igl(*g%^Ofa;qKx{k;zS8}G~b(hkVy#wo37HnsN#p~)pz;E
zrX^u<vq5FuK?$m?wWdu@2|(o9OKRcc(qMBbp+EeC5=61(k{T3*peC))?`e+=r1Q;h
zoVuV4`uZ=&xVeNuvavR^%w7(BXFFrgn5jT1RmZ;Ky}V0zix-IaEe|VPseA^qM98+k
zxcMMW42nN=CH@R2z%c<fUgLHm?7pzQaI;1nh6w*+Sa_5GU#*-JeU}7G9^_w+dt4i=
zx@r*dpEA_R5YuUW$Pjpj`r!i(DG16fQKw=iLhhW?G=rZiJW;grZ#9*Mrng+I)fGfo
z3%9jkf20P!viU1j*JPj{Uxnu~C4ouR$r|VH>foirUoKlL3vBY?zYA(eU{vIJy~11*
zvV@Y}&-cqg=Y5B^F?up|-_5zP+@%F459(^*_vSGYt5x@sCIk1|Jgs#v9cY>9W*!<>
zfD6)-J?$K1NFS`2^XJfmJkooWBNPIJO$PbuG?Rcz;5Hw=ULU%MJNBUgif}4(%nfu%
z5KhSxU3A5O^zO^_&b%W0Zl9F4xJ(4qJV$+*%K$ZB{bldzD8aEdiWc3fGHCCPv*!~G
zLHOkeUyy|oG@FDI+tU?+`@adIc!wdd{A_zDv`-1vmK+A-HszsNs8+Q4kP#4tHqs$q
z5y}?T?pce=!uJE^HyO)}AYH(;n`M^(w6vpfpd<wk@voCS7L8z(E#l^aAOUugHv^-!
z#36%WL~V@Q7>><e-hYNc0lM~^mw3L~5B#p<!>WA7aB00f&aqt%Tn(s8J|5)<kB;YG
zY_^SnA?~Vqk+&>_-TEj@@5u!mJt<Uz9Y*jwA@FzVk~HkbrTj9YVFQW8!t~*YJ>Gp*
zXwvkT0^xR=s%&>UAg`!1FDn_r@WoA!?Qsbx8&a`S{knyH$_=<0-em}?mh}gNoyB23
zb0)A@bpab@ae66v+7MLS2x%5IqF~MQLhY5wPfRy-U+dB`fD3EC#GStV&@S3nGAB#H
z0$G!9o{a>^%x`u4j2DC#v`5%u8rvx*EY199xdDuHHbu#o`JrKLN$lX%5G6NgW1!d!
z10`*vlH1I@P}DP$Pj(rlK#9l;M;`-V^$6f+>EZ(a@Bs5P#|g@Wq>DRWl0Ibpx!E7t
z$N{}qul|11F-b8K6`#s}qX*f79Tz3vumcUx&uUtRDT<Yt^GBCeUGT0woX~lS1$NW9
z=;drDDUNhEbKFU~ke#rl#(RPh3SZ^E+g=!_7@JgjX9np&aLa9P$rp6+x2ODx1LqiJ
z9b+7wuGNMWDK`3WV;Z<!+FNZkG(wp=+E&cKs14ky^b^jqR4~9oRXYCpD@A5(pt;;p
z3oIYBmldXMW2Si115#*^^08NP^+mZRe0$?LCh5L`8Ps2lZiwrnh=-OQE5vDn`ltIs
zeUDeM&7!|G{S6%ylfTSNp#d83wV@$xS$P=?SdVcRyNxJjKhCO;eNqRm&`YLQ#TGGN
z)8*pNG6j@1!D5*bLv>&!5ni#m&tsK6u@AnPrC|Aq1^Y|O)Bx{SKJM~q4ztCKb~#0B
zF^l%|6ZMj6;BqD+(edmIw$D-=O&7Of%=5X<6{)K5<+am2Q{UfM?=!ub*RkE$Y{T5I
z^Sr8XT0Pi$c3=vdvj`M9^0Xg&_^5%pH;D`ZPf9|PQzx;4;DVRQBZJueDv1^fFB$H6
zs(t!bHi5OZo%kuc|0`Dgi6ccUjRacNpWZ2QPGGt2Z}Z(1N3b{kZ{~(2N$|_}v5;5g
zIL1+=>Jwx=iqTO*cZT;oVu<z?m++%;3=6to&>TLF&2B#|WW$IMaZIk@eaSdxB(urN
zjV7_3JJ&zI%2t5|zD>L3opB6YV`Wb8|HdR5h?o7|D?=`2rExWU0&|xjzUzyb!3Lkw
z>5K0w0j2xzQy$ex>^pHSYen)8*65q>_fky>wCE$&9r>m(6Y<7zvkUW>LFY^@Ti_mF
zoDQ}o$^XLYvYl<*<`%Hy8|AV4UJ?M8+&FJ`{x??fc1HvsxrDvw`g`;3rUIz^*Zwts
zbQ+V_l?is#UBMWcCjYQlD8Qu7vO#9dEM`p_4!+O7hTZyc=;4ply?ksVIMn+5!7MqY
zzgY@zV9e<u!6r*`aHmLIH`#C=doocGon*6xnQH57fQ=j=lcR%Id>61P&*icAwL6%-
z^c3?%r7ZZERGvIovxwmjE{x16QNh=JiCqUpWT957n5tfO8N1WU8Nr!B4T655fywvx
z{3O};#ZbcvCSbMCvRjoF#-|ApG_-rX`bIn>6t;%-#62-w_)7<Z?af8qVbVZ-TRGj$
zcLS3=B0-Ze$N<|ZIz0B&dp@`NWQpqj7G{n=?&kED3GPS-c;aHDKtWKxv3q<6JD(J5
z&!Wc)zE<>Qk^7}!)c5t&13fB8Rq$%sZDNO22}bPvD@nLDE0;R`oEjeUI45qHaKMX(
zmyh!tB_WoI4lCEBg&!iH&7(Rwfw=AXPM=W{YN8Krc<=QmH7oGK|0*{qMZC7Zg(LvS
z&E@gCj{#&_E04+@;RSvVhCaq935dtuiXEF|f)`z#yoZkQ!wOH7PmQw#bc{8y?^9-l
z)T8xlF?R((N|YvJ%y`dhHI;=HO4#9ydisCKi$bt*_!7M}CIQ-CQp=___IzAk@d5QC
z5g7Nf6+UuQ0<L~1e_5{Pgh5}v^oUw9sJPES>AN8T^5HF&sxI6h5^(HavAG0H^zhh5
z^hkgY!?6##^1LASK=;ekiX^l>F>)R-mV~GVi?VPLelXT;yb;hMy~hE@0ikh8@EcWh
zQN#qG`5t%8lL}ezR*mdQs+NLb4I|;rSRr_Jabnq{Q64T<x%ZrYD-AqG-`4*yiGaD3
zPbXoV09IXA7or4Yq2bH0?_EbRu;}x=f)h~&HeZ3r|6a=hAwY4Grd1qfgk@rD_q=kq
z%2_4$r2-TUNov`cN<!07%8ZUJ32vq|B+jub!F5sA7nOrjz!lBPQ{_hn1*_#9jXo79
zXse~7zA6J!f^AjCS5zSir~Jqwf&?Fh@h(ncav*v9g5>fkHSp-SOE0rig&L!A;eYM&
z5FK*yGK2WuU7mhw^xY|SU@|N0CY&WeV!VUNy*zce`?22NCu7eSygT2>FDgRVncxlg
z5p@_!&-bKa(1FEud~eF$y;){o_q4NF9rTxto(M(hfl5aZ9do=2#H0jw3!AD#uH?hI
z+jtBt`G$+UjfrqAu&?Hgs~W7A6zbty0H}I+E2NT%V1ZSq_HnAhhMn<N`-~wlE`(`b
zM?|=LPxBJqYwym!J22(B$NeXt!<&O^h@fWNEEV`|&#!fvnI^i7p{jacx=R=l68>!6
zKNF?^Z{>fMi(fE-bRFxC87?Bc&D&MipOA*bx&<t)BPO8p{zL#;REA`On$y|l;$ZXi
zl|TlsDV(qKmc{&(;GDmKZgjB#FsL*qI_%YL)l&+bo)JJXWq#D*5+}rMT}eotGyyS|
zS3Gou^3d5cS)ydH$2ZI84}T??z@@*jyY;cMFeIRVLHpPrOeaa%F;L6|rgIMd@;V_6
z51VfO@mm|DOov30acRb27r%g=l9q(BLhj0|``0KfH)`HKU^WJ;4d?ZlRWT5a<1Mf;
zra_Bk?vpM-Mo=VO?D6HLF!1flhbY)HB8+WH&2`Va>qDmO-xUhLjgKb^d6-#I%1eW8
zHd8}*sZiRZI>HMv8Sac1lGzbF67?;w1mGM|cCNDLf?TClm3+XXA@RH$843X8^ZDHx
z1RTiX+Lq4>aUiFPxwL6347}MYM>y1(AV*{_+ryRvEmg_{J+m_a<G$`M`#WghDp&5g
z`>q^FcQIdp(^nsS#vh^Y?OPbvRhg&t2RIN>r)|<FP7i3PE*H+OEn@Ohfp(1&9EjE1
zB=2p#E?o17{`YPFB(`;cIx%z#k8F2RlNDBVKqAiGH=?lzlgdx?J9`h0ihWP`=4tD|
zFa5hU1I*2ox}%(V37U9hhQ+x$-O+}pK1>qKQX>@N{;?L<EgWi&rge-O)`H#~RMO=-
zO-Y*j>NYuyLu!9{xuUeRAd=Tg{p|Y%%Ii2Hd(d|r^6ITYAD(JL#-ks$O#fCWZgUr+
zW*G2@WxMv;Dx)S)Uky|h{Io&Qdigy`!vT*voN+Wc!5V;E)+4n}?@)ZZQWZl!;*sU5
ztk;tTb@1!;2_AK#Lf(|_+F}C^R2!D@=Y_vIaQ4+LuFp{;r^7GJ`3g7?IjY)_vZMx=
z>f~~~18LC>!<k$rB~H{$mCfCMT@4gPlt#5@=uqdS+-vOZoalbYXWcn=HCU!ww^?;#
zKy6D2{w3GA&;yosQ<+><XkV)`rVKJ7G9{Arx&=2<o5%@x2C6U-QMh7j%Z&J>)F^x^
zJm^*F3jeb)GGrdOCM`M4f-ZcLmXaazB9EsYp?>$tARHrk+cJO+S#@k@ojSyayfYlf
zoD9g&Ufoh$!jD7Dlsw<4NPfgzv_><uN&=_!P2$qt{F9eTYVE%4L$R*S#s1YKaQ&L4
z);hp}*jy{-Zd(eXYb$NVuWpb)DV228v4;~m6m)u34GST?#GAG5$4D?K<GR1@GZ*UW
ztGMbKEsV~lyz?+3lHfsNL*%g~Zlro`@n3_zD2nI&F%J7kpsixQ<|D?7iu|tPzh#Lb
zeBF@07aIxq{BvGPoZ>@@;}>*(J`+a~TdT9**hwH3FA#F>6+ddcGNyU_wFHuU^Eqi+
zm;?oH60|qO1kfXE<2r+3N%SYNY3Hv#32yy)AEcTkh=lSrV`P}5(eKbJ?B4z)2x>UR
zFQK^~?awUT-8PUx0v1BcKVOpI;IT8^cB8_GEj_kwJ5&~>42y-&v5{fYwy3!;OB8iQ
z-BG*WD2F;3v%7dh$v`g_N?EQILy-!vHDv$Eqt8L}(QP!Uu)6Q#caB1Fl!1x|473U8
zG0zUSX0|E_8`P{uXG@?Vc_CrVGm41g^hrMKgc{J^vvDA#OCkkzhaHbFCG__7fV8%<
zIt2M^I?Ja?A<JovLfK$tL}+%u*DI(2r=J9IOFfoGN3JG!?LVx7Rx`1`pG7sn>|~Rw
zM2rjy`a=4AX<h}n^_@4`r>h0z6Msk3F3F-_dR$#KibN!Fg)>aiTN^^H=7!>}<xmvP
zOE(lFq6}H(qQE>Iu&B+cE8>$!cA=N~3-;b0)zyDPH?0ey_XT7^n&eSk{}*g|R0VlH
zEhmnt=tJ1fihquk0vfTr5+pC6f+lgkA&UM6U|KD7NB@-qy1S46Rl~Ltx;#)5d^-b!
z_jkN3_*WE=w~1KGp+rSg8oXIy=?w6MxvqttiGVirmZ!`{70`a4F~X5A0KKbQtx|Ie
z$T`ozIB{JLDapN8xMpk!-M2p^)8;B5w-<#r-D5K7^~=DW1IdQ)JSS|hT1f$ACI6Z}
zTq%VrXKsHdd@=+H)&|4=Sb3Ds>0tjmL;@Y2vNcKGHU##1ubcX<a_ElZz|#-rV#uiK
z^>KPOBRD#F_QLA0Ec(%QK9T9zesqUH;#fPq5!`l2aA^M|gWONfh)O!_Lqeiv8WVdQ
zob5bWxmYKS<gO(O8kX~*)_|Ps0b~fVoUcPZB}k!{*ltF?&t5)IcbguGG6a8Dzor6L
zNkj}iW8cfmj<|*u4s#e8!cLjru7R8cvN*Do#wg2#E=PVedbI@b;_~*9_e)~PC%6#z
ziIxr-l-tT>r33t)t9kl5Mid3hCl>5vQXwuS!TX~o01Ydo@8?W}QDhJYQSJK{#a2@4
z=lKs9u*~;a)$j|U_G!PkH#KXNw-M)YI35f-J#V*Yun3@8R}xOVXqn=F{#5DLJzhA~
zmo>_Z@*@vi=puj8A_WeLeYlsZ4~lWS#m^jgQC7qgPxFHdloGS^wzeaBz+lec{-%0w
z-=#05tC!DHPUaQ95|!5jlT8cl8a*zwo&4KjvS6O#ANrW-?j>EA;BUzjnc_fi41SP>
zMHVP@j!*2CT6IAA*14}tzIenPr~LiY$^s=jc}OHvPzOX$@ZBO=vm+O-kIF+LOBCJz
zqG!u4Xv0WCo_oR-Ry1(>-goBMWr|rk`J{TU79{c7%2j-4MpC?T+YzKy%Jj+SR3ud`
zVE+C1*V;`c)V7KWA2X~|$~hyCW~OLD#Z=~evkN1#w?3${Mz={>B<x-erPBlzW_hQ0
zKL(`7_DCd1Zks|-(R|-<K?5oV$S3H_=@Ao~hC;UAF6CaFc&E#hIy7hfHe{BdNAV5L
z$L!BhAxrsrYloBSu+5xG)zwIc{s#a6|Njh^cR1C56vu7ZduCqSHSWFkyvNFjh)PA2
zRlkHtXvkhgD3QHFG|;e;?<dKYNKuqMl58@<&%ft6&w0*s&UxPF{n9-8R4%T95?%VJ
zQS@|B6*i7D2zE!(phGv6aj)sAk+L;|zLTRWj5@KF%=*%xWKmvyX+IitFgn8T>Zl5+
z9#7)2+0SoFJ&o=y(V{MRAV=Y;0{k9!vUloe5QeB3S!3xD*(m=3=Ozi7!+1)<xM)%B
z8w=JQ4F(jhA<fWwhXf+t{d|6RY0+NH=Rsx~CZtk?n>Ugm!LI9g(~>+LifoaukY8X%
z*22y+FEAodhw_kTXXudK#U;w%f2=4$zempU91%u2`hrqh>CyE-Pv7Th>`0yC@t*Ag
zBK)(?jR<K!fModcqDnq+piM-Z!~dE99z&(mK?@A%?M45o9R@Dc$yBMld!7JX=T@&}
zX)+;7f7h6M9^B}<%2&leaRRK4*o2vsFr(cQG^Lh5c#!mT4>f<2GOW!GO)%=QB2nKi
z3y#Zt=;7@5k=kR*5Y=o)SF_EAVsOPjs>KA5v}I<z#kvw~FSk$UFS8?$4xLNei-IVa
z@8Z?qG9^epWcPe*hXXN8`dgnL6GGoVJQ*;*q6FtUWk0+S<3jg;T|KYAE`o}*dkU6p
zmEcshzNxe$H@feTH1sT049Q*kQ$ug51V{D9tV}9-P_mgw0d12wYECTp>wiuO{%e`g
z+!5nLuTsu$&QVFAjn`$f*He{%^Sik%>r;NzG<|;XnXM$!=<u3)F|PzExJ~6XTR~Jb
ztyI2JDTVCPXB+9gmEoaakzqHF5c<VH)P5u)gZ?&uqd3M)fZG(~QrfG+NMNPg<JALM
zRC2cATfj8}5Z<LHDE<*e-KTyRZE?z@saHI4SrkN&dN#~?VNVQsJ4jMfCF9Zggl9*7
z6cVAZ&OuX>3x`&7#cRe6D59d4jY)2I5`^xo4SZ0RKvE|8Y%+dIsIkgV;iZWRX#0kV
zrS12fc==!Shel;&9rc(!{E#a6RjCRH2T37oX=nfJKmsE7jyt)WSA!G6I)MyX(nv&;
zV(t7I0kt*tTTz#&gXU$|8TDEj#O23&mhl)7`Oz|_Wm0K^EJdEjt2S9=p&pdh8Bau<
z$#>YFU)6%3gWgl)&2lInGB<tFiD-uR!Ih~^ZD5UkTwY!(kMLgRcaT33i85D_gkp3d
zXEZdr{~{js4Gnn_4ieF)46c?KE`7*RvI@1MRzT@@_n!QBhk(xLmemqd$dKsDYTkTF
z0bzNYH8&EJ5qCZ3aOW+6fR_;gtN9A3Ec=pvRe>UE7+tqB#u-3|(Ycc<xeBQA*bRdV
zZg^xb-KBrM+yDqh!x_j$0Zp?M&&f^7qT8o-DLiq8K!VklwK+V(k9uH3+R{icvtZpL
z$Plh=G8<U~9?i%+Rvo!1fyPVf9*`>x;pI)AIpcHkX!yX_7P&?-#1s)*W!7#8)2OLz
z^SB)PqZmuiNfts3g?loDRzsLf$F@49WYIkFO<<8FAJRM>qWk)(A+T3;GW{5kM(zyd
z_VO*9DBP7Y`N$1JxShp#CN@wC>B(F$I3L1-)Hm%!yEF`8zSBQ_n?Vwt>~e{Y3Z_FP
zmTh>3DFX;%#wGQo;n2y$-9<lcQy_&Wm*n!}48V-Gw)UrtIGXo9wf$1(FV>i+-`6E&
z0BwBFZ+;FDMHjAw<P;>&V@Kb8d1dhyVEw82oOhcL8v1y%$xvtvYiP5|wYJ@#Gf7B&
zOGOaf`uNhm$gu|_GVsePc9DVloYtkuCO))iUwY;KyJuLaj9N?Yx;`A^zq`;M!h?ng
zvXQO4Rb;jUg;pLC`aqsKn=|LZg~}2aDr5AU$yfrbs?;$(2zPgyT)NJIoZp$9t&Z*>
zSCDeQe2vouiVc<zM+4c=9O<^qRo+f=n%&O(*(M#x3g>F4uwh1lXWVHHueOr^MxUKe
zrqzL6CXSB#HyMz@?crwMe~sjsSc&A`!`h(KJc{eyphM48XFYzkye9v*W9*ierUhf#
zlfF|J4dOrYyZdij1X;TL+}pYtO*p3irL(@13fbDsRwS^z#H{y(Jz2?`kX}6Hz%NLN
zqGUIbDeDJ}jUkZkT!sc*h`;{mfyo|L;XAo@F8&iHBhKa=wxteBnlWK{@Bd+TN9?c2
z)qlmf-cQ~JXLV@C4M%r8+QO(#5t*Xse_$pJhiR|0szEiq&=_fC1Dp9S`jP47C>Dc>
zC@-n0!P7SMxYX+}CU~cd{_5-mmOS(5Qd)^B=(G=tG@GnrReQS*ujOYj7AFekL&B;M
zj59hkeQpgKy_`*L74RE_(XSk%sVXpW;E%If{VKL%h2K{0na8|#C-$tlRUks{?fV?-
zRg8BGoiY$x!tmdu3W6VyfYGl{wU=)di_|9Ts7x+nJ!0;&_JSn%WE`5W!Lf?<CtP{{
zt8NujmtOqYT|k6YCIi+P%~gzsPHIWNXdTPv(#!p(M1(Tye8ZynRZL#a4)6MS1IzaH
z487DqfM)_yPkR{GFu})r)&s3u*i4eDQN&RKRGmg2FT7a8@}f=z_%iKasr&-%nxB-x
z=7E0rM)*3`TEES9{OTUoM|ocODvdJyzQHV;dGjw;;4)l8K}U%a8_pkUCo6$Pyuj*m
z?gr-gqd%?mA{9b`m#2<~E5hR@{o~T}o7f|sf&ZF+Q={?i%POQ!1&F0xy!qq8HkKZj
zP*)yLiw@U$vF8aZz`UH;7I5xh+J%$-n>O@lF-SXQGyo5{K2z(>xm|2NI#%VHE(2<j
z31&Y!AP-4rwaWQ!Q6L5iM%zPnOvu)S`T1Exd8juHdDEOviL^SozN2&&RCv3mD(AHv
z%%{*f=Z#Y#C4<RKGe&mwWJ~{X9Z3!-X%ftLOlZ(%fB^e3HxBeYu?K&rP8P-+mTQAL
zXb~>@c2xEcPDC5)%gu8{7Dkq~&MXGdqa~Jj?Vmy1Xe{|a$o+X4s0mw8jX2DJ%px2}
z)0(`<(vgc8mMsHxzSgsMEt!y|fO=l47(behPBJZYlmYf8r?s+R79{mE2wF*kNaXIC
zCXbQ~XyMEs=8dr-hlxBsvY!w-_5KLw32qq>na3X~Cv%{$Qw-J7qavt}@aEYGP8q1J
z*eqXp!im(|t0&yviJ_zox^uC38MuAA{mns5ZX~&Uy`&3|Lrfv>5B+wPfePj?t{hW5
z$S5-Hi+zOzsxi}R6htx*`<|}nUNs-O$0TC$?uZnMk(X6EVIm8q#y!bg&jk?MTc+F<
zS{bzUD<2Erlm$WeYs)F^2T{r4%TegFEIK~>JPtQ52aLAY`21N!koLLBYxiEsqhL>V
zBOL}jxX6t;^XiD9l|!akT!ji~vZF>o`icS+%cqFPhKVC((g~jKG$r)Wj~9Wg5>V{?
z?g|>fp{gFvf{VrkbdUaT^&36{l!c|{y6H)x*DTsw)v84Fb-vo%#*_#==R=jAJe5MS
zbcQqkxJgJYe}VDyBNB{PD*WdvE`yv+m;^QlNhtM3O(I56h5K7?>a_NKgW(A)E42_6
zwA=TRA@Y|RgcPoxK1U&sh)FGWS65U}jmt9Q?{*Dv&vdXWJcUQsQ`#>0D5@eazlw&8
zE-lzBi~0H>RRPh2ellvqsiJCrj+C}39SAz+BSQ035j|~wK|0)_f}|pJ94rs$!^zTr
zj&XOD5N_kv11X#e;wuV%e3u=7{<7(blPb#S?bZ7$95N)N+!&ay#%2HyH>OlYl9kaD
zQ`(!X!vyr1@>gN<x&eH@GyifTPZ|B7B@8V+Rzjg4-Mq)&8Up^VhewZ-GEyIYRq;sy
zkAyQ`hlx5F0VcOOme;O?!s@JrbG>B{uG=xLtk(#_=X|A`rxj6ts_G&+RRVn*ot}Ot
zU<`tLXL_XHDj>ZNr^>k=h@z+TUPi&H#xTq#6%ld_k3P#^@o{kAM+J0!hThV~&|p!^
zbf;Dh8D^jq<JTO>1~~+7t{Op#`RAi-n=(i;q%l1pkseK6(X&b{HiD#EZ!MQarO~sZ
zvi0PQEo_4Se%NmVBRCQ9Zr)d064lKOaC%maVNB^1g@Ij$P@NY3_O2ZcP0&49PG9IH
z_h*d%`FUhNt~6Ts%wG)6)o#D|-n&44*QJ-$*KPojaguT0EQHa_0%O4Q&<*mBkjZB>
zCI)cUS}oqFUjPaB#6{frxl1;2P}#vD07ADX*IX(u+RhDq<y1ilo)gj<%=!RPE^deL
ziCpNE8nx?b0yXSentvM#AwzehkXv^nJ6gzlaP}P^4Rpti{2Gtf2MO~DZAo`#G^^7S
zq<xzPYL69$*B9!+v#KRd&NuYPDnj4Pte6J=^_YwMHtE7Z3&kpL1T}gdZ|xKiMFVRK
z$*eW=I`I5X>vg>MzW%b`f7z%@1GdyWhI}|3Fg<>u_{zTCl3%-5NdBOPir6!scFt%6
z)dRPN;kadt-t4ZUus=0$q)SkK$=3qUd4pCStyxS&K3L9}nHo+W7vg66qY0Lm_k7yp
zM=<#xW43M2sDO6ljlaPD{|yyAEy?`48|yGX9Wv`g1tk#I5|gF@q0M<WUr`5RYuiWD
zPfAk3DJpDwZcQDIpD-XFEpI13*c4Vtq@;pRmu?lzpHc@n%hWp5_>G)DpBo{vNeSm>
z#u2<%1FPF~^6Oz^<nN{Q&cB$cz)-T|eIZc|EYB+ZS6DnvM!9;WC-td7q$@mm{E;fK
zH=Efak2&%|iR|jAyHs$PWmosBkSb){zM44VxkyeiY};|%r2@(Yv7OWDDsal7|LKe9
zW%6(&AGz)>H7t0QJD(C%ft!EQdKThW$-VzFPKE#toY+dQN4X@xbIZS>h*>AQvhdz3
z=B5S1{_NQpITAE}cL{lQbAz0bY(qZEOb22Op{mcSiEt?=yUG6Q7P+x!$^Nq}J!ndd
zC8%2vfyu0+rX%nlnbB+|uHN$iWIra*lST=EyE)>Rb$gf0=#?us{FMP>?YzROZW6$t
zckvhFX$oNHRWdk!i3!@@w-!za5#Yp~S#5=2O0d_tHxi-50#sb4ik~8sq3QEP_3KJ1
zKul9*LSk$ncz=*%xnBvQsj`0*Z&AbX?*Hmp3)rDP*^aqhT?y8`G#^qq(1OH=Yd@zx
za=_z<_sxd#6rtdG(5o+B=-|dZm-~+VT(F%aj+5b2gie-GdR^}WK!dKh*@be01?4T~
z><k4ksJ_MOCc_A-S&L&I4)DV7jmTrZ3JTEvEv+Pph8ZXaEQIS{^1<b&`54DXJUAKJ
zhVV16f{ta6i++RvT<%(=R1U+#^vyXlq7XYso$s?Vx^@r-zZNZhFvWwvja2l41qZAw
zn9@B=69#YDKm$2RJZQRmeG0zE36+l3-Dp@8ggyzlFbUuR?{|wYZj}qx&xXfckQ0X&
znWGCaa(HkvGf{o)#{&yR#nM?pIM`yILikg7c!^WEa+sA5d{mgN41P#}GM$v())PDk
z=ud1ExAH^Xu+!bB6H?Irt4iEkS^=&$c?qNy2*Ode7bV?e(h%y#FMp*=0p6bSejl7A
z1UhE_J&6mEh48@{$K%C{AoJvjHGh=|NU$kZOvuWE1dhCxU!?^6B(+!4fnp%y;(Y7j
zH#{5-zm>H`Nq`pClB#R@;!rUm)>(Lae;)~hLIZ6C_>*CO-fRE|PY1S6a;qqV`9R;C
z*=r(X&eK;h3rGTGcvaJ)>;66Qq-^jtlYpXOmcjn46lgfrbgu{#LFqHYG1(mz@Hsp>
z@}g84MotKuGa@2H)Y3L`pH>6=)V|9P7G&ToPlCmq0ST^QWA9tPtAm<_;eAKE9K;5-
zEU#ve;Nr`rE|D9W(EoI$$L+X0G++8KP}xX==x@Y}DXQ9#C(1UW>yC%En3S%pN)r5y
zS!0*m)d4CWhWxFg3h<SE>c;Xp5=2@W9SZK$gGeu-_DW7gaGD%yi2p={gpKZX!+T`N
zP_VJ5%T<KS_$cq}9Rk!b5-)`30jSb^I{9%y5k?Qk^BR9w2K_eoJ3{UT@Npw7qhe1H
zmS<~z3|c8d@uxFqfZY%_sO`+kIut?P{9m2#C3%?5+PUYOWeBO?12aAB6d}YysQmI#
z8L;sdb)KO$f~cGdw^Qi~pz(Lhr&UlA`bAOKPYWY(40*SfT7ZX4ny0L4Q)1v}8(@;{
zX#{N6Q4&4@^01?s>gSt%5Dt(H1x+s+foOW=)OTSys8tG}wEe;ZFLcJmuI|^Np@`w`
zEs%i)$=g5KAFzXTt-k*&b|cWz7OTu<lLk${w%2`Q^iVVCYD?K@2>wNM|4h9l;fT&a
zg2%@_GMBE*m!qzRprPrY#L|ib!QYELo|l%%Ww$a~bT<va<9G9KekpNq2_JCl-Tgtf
zl$rU6VhrHL#DB>t{G!l$FshEO`31&ieDtXtrvb?J5k^hvgy6VMO~VnFVN71(;7yiH
zfFo-rx+Mn%z`H9xEaky3EOIKq`?MrLi|niER3~02Ds=tYWwwZIOWM2}bRvUmS6Oan
zFBj-vJSqMnWf{9$$Zzg+T^~+yf9S?t=YWwtlV`cJE0~++;|;qkJ@7A1P8}>|g^fq1
zlCMKnvF8yEA1y!V!gZ-qn~Ww#cx&}Ar!s66JMx{Vd2LMx)_S_Ee*-=AkBB{#+UKEe
zqf<j|3OeB0;#M{;Km%_lZ(6N8uV9CIuGZ3fYJ<X!y*riWlz;>z53&R-W0Thfo=ui(
zf&NhK$lU!MvVR4Y6~Ffq7D0bFhk08Q0>o(rMP)b1lCqWTmM0gn5$eov2}@0AjM0CW
zWw=J}C}<QQh0kO71zDTE0u4y&{wr$wb&1Sd9@$*vI){x_UBN!?s)MKWWY5OaKV&v~
z2a#BpS<Il}XkyzwZ{i2k1ERfW$PfOelFr1=V7v@5J>ehJ;IpfZP1pBvGP^pK?>{(&
zb!|uIW6EmaqeoH7S2s*n`QzPJ=sbySq}+--oTCbT8beeUn+C|!s@J?nc_%Q<M+Wcz
zva7;~t={HfWiR<rFmw6`%5ltBL(DHDMg@{eHLg=Px08i*wcjm^j$t|4!&59&DnM#`
zh!YKbN4D>bRl9h36ss89URMq!!RmP_k<{21<aKX{mhPnytR|b=bCi+<HWOVemXt~4
zm$5M>xdkKGQa@c3Z442f`{b^!t?zsO(MY=!VIx@ku}fKDY(zNN5`SXt#VhPsRq3ac
zeIJ3-Cv@v(5+K$(9{bM&!;*7+tJU6*U}j_4??vSakpFX{rl6z=GhTD!bCDdyGT)Rg
z%LXY!`Q{&*5Sun^@_cGSZuux?9h+^%T%ZK%{RzL<o4PQ`U;Gya-Nvwc@XxTZM-jS`
zA3i_8(t{0!YF@r#JdV-t{mPc2SA^!aM*}g$&)6C5(~5f56Bu#*lMa`m0(7jGejY#h
z1*`9AJQ5#0iEZkpFkcME1J<>gapO)u#+v-FQ*&+#izWz(F}2DA+i>6+^PX>5_`RnZ
zMd35ppGl#2-#F!gUG=pvJ!uF_a6Fdz!EzQmDEuh<jf)&`4p(R$ef<;5x}aw)b7T%X
zLQ%T=uv!-O6twbOD@QQa6Lc>&Z_i`*-0rZS;gE$>hf^DP#K*AVVgEqp$VF_ekw{+m
zkpZu{<Dby8aqLj92#TLv!eRxiN>6;2hRr(Lpj3xR%trSS3*Ku5`w?$Y?yn;a*Quq5
z^vcuNYG`_Xh{zfyV{xqT@M9^+ZQ>5=QTT<ax%>)9-C4&3&hi!v2}nV~{qP8m)4wrm
zjpMjY)=eyyJ10{)NfN3WAFtTd|H1z2H*K!9-^N}!Fg-lRBndlN4vQTMi<oP|6TXli
zJJ`=fF=O{T65v_Q$Vbjv!WIoLy)?6<K-zLQzeKZ30H<Q@jtF4|o2|4rTOFcA5e#~#
z<}z@wSgac1I=70kRJq$_CsLzNp*<1b<Z(bcG#2^amvxLflQ}fXhZZGo<AjTmI3(UH
zh}v1$z<MQjvmC?d_qpw{T%)5nG;ZUnJq)(78<FqoP1_kz2}l2W-JTd^PhQaX>)yc}
zY)%JGTQj2!ab`_}GBJ>+O4K6TP$0UJTj`GcY-l2f{sQ5Q80-`s8EpJPiGprrOGxo>
zAdE`5EKNWRUJUuja;H!u8TtXCi_M%U*y{5@>^o5?))zN89Y~8vcQf-l3b~Q}*Cnx>
z3!<PU?%K-}PmdZ>{CX@adC@GV1ZJlo3P$$7T*dntkoj240^bThir8~ucjpj=lNLSJ
z&(AQU=fd`XE_fY8XPpmZ#S4qV&*+!Sx>9VYVqVV3OHu?ihsh6C+KU3$UL#M700;Wb
znAFC2R}AHt#{W3jDhkmdANoyNIFWvmhu!Qx*OTavJh#&ogE207YR(*P<U@=Hi9Zr(
z86WWKR-G99iFXuY%I8H(0X9{Ry;A6bdeoGQyEwFG98&G;<wuLd4PZVfgU+6LTRdfq
zgT@_}(R{Uoi2s%P8zVY-<h*OX%HSdaID3JizwN@veQvnC&sqVg1ZdEHYnB9+?z*B<
zb1{^*Q7<I+LJ18$i>%kbB@Mkj_nr+miz6fVfp?<!2*|6ZoB#2BSvbGE_oUQ80s(cy
z$+k`+`Z=mZd!7>y4?W&$9HEs$q^`SV2^1<QC$UtskwyuuR~Tr6F==F`Td5Sj&)4f}
z<m{uh1aPH2<h&Chi)77?TsD+aLyeyF91G<nKvzm{Ua*iy9vh|IikoVvBB<^u$D}II
zaR0ENIG}*+990`R6V%aef~~ZNod%F<Z68;cD<bZ`>3WxLb@a-rQpsmg3rck8Bf?3_
zh>`TjV7*)&<&+)KnS7!P|EwMnDS&{|^?9<5aq7sGnlrk|hYYP=M82l?1SD<2@v2c&
z4UJa(^nc8502G9WyYGdFNJ#d<-9M!&2$CPpq#ZSc-p?k!amGXxq(~d=-9bdO6dB8!
zmyBRZvwW~zorrM#T8nR#mC=9oXDJwt8N-RIlW{>y1oXY=BJ;eR{QmtWo#mr2fw&#U
zdt3no6r_A8@-Ijs)=;yX!k0|oAkE<>{$ypeov2net}2GU>;@=zKQw_0K2aidKNZnw
z9%>QIkGyE3v1!i!jtQJra##tT#G{#wz$6D|X2fQY09Qb$zgMYZX#zwi|NN?IIn?<2
z%l)H@o7f&zZ-4cqG58C6PVJtTK_e_xtsieylHX)S+dgtJhSf+>%5i!r^yE{IuH2J#
zGKwJn+wC-hYM*NA*<u```IpF4H$@HW)^uU^ibhcLt(Qz^D~4|7S-xSr#t2H!`~3ZG
z8v?8TS^q|9A=F4EPJhvk4T!NPS4@5xK+LsW$H56cbnSe0kH%RJh%UDKEpKH2hR$EI
ztY^4TLt>2=XCx;S>J6WitpRv6Ik`Th&W_HQd!D0J=Yr~apR2}r0JkOOkdz_@q?0&n
zntP86lHM5p%dsNEm*pf~%Rp-6J{7C7Tge5#Byu^8kLyFkT&YU;n{7<X$vJ$lgbS|j
zsU~Gy(t{z5Q{lS>OW2d#438&~T<~dhhJ5p$E)=~X$$b<X#eAltqic_GfhcL_O4$b;
z$m?Uf=oFNRv6u*w1aMs7PxWG9jz$N@{MeeCd<Mzwqs{WZtDNBV)Jaj&S{t1B{1hYF
zX2}k(s!Wr6IH3#TdTk4}VB_Vh$XTNm@|;h~!M?Yg;E)k#mrtPuSGT<!wi7qV$_}A3
zm+Lt}v-8Hz84pcJqP|Ff(P@X=e`#0`>*j=jWu~pI&l)iQHMFmClmfg{Ur~8)a)QFK
zA}1zu4bT;|JoJ5r3Uc0y*OqH@K@QdF4e|$dFzrgOJKIGA9TzkT&!ljHd-2LXd#S_y
zwav;yX>@Rj6r;sO&kd6i9CZ%8YCx#V+a0$$0GYIzGDi2gA*3_DL)29bPChwbxA>O<
zil0Zd9@63gst9JKhAmYHR_bp`%47m+E1F*yHhI8pOW~(|x+-vtbaXoFvw;7nC+>5f
zd12RDAwi6+3QqFh1%fA8AyJH)ldX*pL^d9UIL)a5S&Lqy!-5^M|J)`peB+05Ws25|
z`6|$B8e1DA#{nmm4iqxb2!hSvmzGMW{rt|6%vyF%=)C;)hmyrX@XEV8@={U-Hl8_@
z*ivx;C`={Zd?Ey5KT9>}R!QJZL&rI^#|3WuWg}fOA}|>o=4IDKf~#q7INmYxz{_Xx
zTulw4@GE*!*m0kel7zG$=}Gc}&hp6@1Jz;>n5ML`o=1Ybp}te6t@t22cYYho5(neh
zGX(Z*5~PLwT%L^PheE>O1&ah6*f!SxD=8+yd(ZWvOFaVcfoCwnK2`!)-;BNQZXm&S
zj{A~=;z8JH&H8*UUJ?XpwGxY_NHDhMGS8491l?)3N<7n~fVVZo%t}-R{2Q|MZt#hK
zcb{P5?_y~X5KM#V|5SiJlF)bkktp0EN7mI=%fKI3#?Xis6$o=Zm|l}B2E(2Eh|??!
zZ5iYK99pX2Hs|cienlKkOFM5Wb;-e3nt%0&F;(!o(P`RdfrEd$Rjpes^6)<Z00960
z43~E})?FNj$=+M`UXS_M+wb#O3E@RTnzS^G5*d}15|t7~8Kts{N{PnvGm@mNl8QnU
zQpw(4|DHe2b*^*Hb>H9H$?Kt5p06RwB&;eKl@(#_K|SGLu7PiHe_4gOj1VM#TJ^w+
zBGzu*V$^&>6Q?C7HB?)TaA9{Cv-3wKwB(4CD(Ps!;XD1nqe5diaa_}mC{o7Gno~bi
zE42{i*^>0-q6uz28!-+DRl(q&^WVz(wefj$@^#-?Q^c~aZ`0LQg@H*`wxXdnrYlRt
zbT62pO*+KyO_wUJq<z0RD5H%;>-G|_Y;&|u26nI=Qp4pZkN$PP*1|$YtdT^a1$Lc3
zLisqXhT$BY;vs!4+}R!dw6NR~Zx!2E!yG8!Im>a-c8ex<Xvco;xMzi=jm<}MPEjDs
zEpw*9K?4Pdx8He<!19?lTn+gY7>a#w`L#g7-kHQbk4%A|!-BhLS190J4m2$~u7)QY
zT7A4Tfw6&|();&O;Ff8+pXrMVBtwIp7Y2arxi*1EA{2ZcX6Fo(QpOYhk$D+;8jik=
zPAkk&gO*7{rh%&>YL`lHOgYlfx6fJjJ*yg2osZ@Oosb8c4abdLJ87tu`*ywXKUG9O
zJ6WR`B8vrqK%u2QG&FQQ&sra^f_<`vR^A*^_~2eN-{nWc<DXTxH|8nheCcLCzAiCD
z1^*REu%@AFowji4T_qg)=$q9wEP^-Zf|uGPXn2<`yw<Q>5neyUwrj2vLg$vsnd+ZF
z-J?mT@=^tK7ZnW@PVz%MaAnTC1n4}_@0W5%9&aor_6q&v0UOns&2kU0rcgoZb%7ja
zDL4A!6FA|i9N2kW8Za2l3utteMcTQ?JnO32aBJeRvTQB^k*5h_xqGBx-6?Oze4GW|
zZ?9yZU9v(zA1Af<vLuRAPdz+a#{>pi`Sp|DR`~q*g^K-Gaj?p~xbiM$4eX*K9<|@M
z1id-U_JWNV92?#+6y!3(;K4eZSx!rIbbRK#{z??bw))-llVZfLxRR5iyDUII9nX1s
zzX(FAm^syl81SG!ke#o_9HH@9-HkfJXbSeEZJ%X;wC!YLimW+G{5B{3CoF^;6*Z|>
zZ5Y9t7+=X3Ylf*aC!|Zn1fdjF<5E|{h#hl##-|5OQO8O7z-J)<*7U2}B@V1XfBi|~
zjEgBUzdqEAi{ZyvC2lJzOD4!}N?%;4Hi6lw)SsG4KKvO4ZwQqco2ISrMQE5ni@W#1
zSP3r*eTJLctXWXbN(RX18N;*8=(X$z9$2v*{5BfGis1))b%e!@VWnfkH%jHfFUM_<
z9G|gaD<}7dgBeDMTfFQb_?#OY*=OSP<vEa?QqABjW(2;@QMs6KZqSoz%QNygF(oj_
z)skZf57mKe*R9-m@b342lV;oyej1x3scs0rT;s^mAZ|qG+Ff<{$AgCcL%Ex)4dA@a
zmv^C<8?!ZAb?55&@O?V}An9rV>G15KeY`wS*gMAC|AilYvI869NAwZ<vA-<nDi6Zc
zlDa<*3g8rbr`6A7eVplH-ka>i3$DkB`7w+_Fj*JlW2UQ*5>Es77$rUs%?agfRACI~
zM(q07qX$|2V!DbTKNip3AATGvg8tf1DXM9D;4=w7n{$gFJAL_Hw={|3-#TNR0w+BP
zhAQUuI}6}%XMp|%Q!%W)7uwRrqX&EU3hQ<3g7AEK@1!Crj?N?Tg1fqOvBQA5O211G
zj?@C9^lg%0DI9#UT%wDfQI=Gx=R#1@(fCp=CJo8E7j7Otql<y0p>xrd!uZJ9PEbZ=
zK-?6yE(y_v7AxDP=2s$U{yEjbeozilfdoh4E?u-nEU$$B5ru-wNVaf@Ji1t)eo5NB
zy3dPiZ`w7);9Sj;QyZ&*zwLHs;=^>oQhGUn{iHY&b{C#8%~6CTAEj~hk}j?ozYF8~
zB?0Y{<S^xzN?2Aur=VV^3wAB5ov{a`AR#Zol{={nJ#jAGa%MfGmPd1zFv*~9(%wx#
zT@{(e9=m6JR_`a%tKP9p7V)|7j>zs*gM)O=t%LP?m_He^RQFg8^6xzAQ&#zBC=u~<
zr=30~a&pUtuFGSfE93>GQ5})Euz9RUA8l<T7q^{N0BaM=`lb;L1RjxV{dCR%&m)TI
z3(<;L`T70B`Z-MugqqOzc^g7OXp;hWuo8r=E==9{rG?Ib720|;BUH#xn>=@{a!i~0
zO}0uKF_nz&UizzkNg#T8H>f~fqAR`7TL(@qb~4d46I{K0H0$50N5qF(rF3g_Fx424
zdvS*;Cd4#1*{@MU!`87>`w<;*JP3H?blwahH*%slYSke6BrCL{SqDvrf1WmYX%0s}
zO0L){&y!=#S`7Vluy|QbzirV1sXHbX4~$db*pa;`Q=$#_YOZ6Q+E(b|Dl*yTqmHY-
zMN-2BS`ZcT&WiOQFqo5i^6yo3EcS*hpYqg15yk3Sf-bPI$hME`zB)K03$=o3)G_@p
zKZ$pht7!`RXJ21aM~&0odDm$*{PKS?t0zRmsW;Qv8Gh<;4{CJ?Vo*hD!L|CxRsL&4
z{MlglkAhxO)3o7_5*lY2J)CaS;PidvJNFg}^#1;OGTEwtQEA`Gxpy?I`JL6a=cXFI
z-r8_eXZ1aYs{KDU^wHp-<va7WQ5CHUR>qm$(l~o=Q&ht@8q~*aD(c%+FfO-fyAmUg
zY=0Z4$4xXu_Wk_&vq2eUQptCF{)k}c@!_mD1vC(DF8l3El)%{EATe7h2$6s={S(17
zJlz`}(U7Q!8|VC+qiXoTDb(V!g-U~cDqH#dW(8FKk*q8I$O-=&Jc~U)faBje>L>N&
zF`oH3vb&5Gb1C|=4jDk1&5rjfd~)!6F}|NhV*+dQv}rB?KD~_ATSL-lZ2#ayKh6N=
zf|T2aEd+WBFDmf7kwmMV62JKUMPjC;gv&{sfcXaJqi7OGVv^S#ji@=oiQ2bNyTb|&
zK0`v4!)w7_Zd$8lIzvc2I(lP!u_Z!cF5arw5XJntptz3LQ$%8S>}bTK1zs$~YLaQf
zxY*yBMB$wx`1%egvC=G1S6z2gQ%VR=ef#d%j7$=TbMD4gUob~}Mp##GlK`Hmcyndg
zO%WBp9^d63FvIf2TMe4m`7u~#ewUYPnouUfntja8@I3lb@3bNxEXG$1)=*}MqZ?yp
z8#7EHs#@gK=gNb_x__@OT$m+JZXewiJ#7Nc&A)V5o^pY2W_Mhq@jMazVUKHquL+9H
z-(8j2$%z4fMe`z|MZ&~FDsiaR7_JW*V!CM@;MaJT#xJ`}xFqQ-m+Bb9o1KGY$%`Ec
z`U)er)fuplAu_);&j@cXZ=(C>u;J2T=KCK$jPNDyf8Hc&gh^%XbafFnFr>=eYPhxr
zr4eI~>@FDM_D5;^drw#qOrh=%nP39f-M^msyoN|x|I#V*6e}nhy@9v4vOt=dS@dX{
z0W$pG-2E2KiqM!cw}Nl1h`wMH@m|aTzUF`8I<K-~QL{FAZ3H{6`diJl7wDtIUm``m
zn-xko6?Sr|ulj3FeEFQAKE5U<Z+>pghInRuzn&Q`WEMDeXuVnG{8GW@#b!1bRJm`}
z8{k2er9ey1E<L2(=$=f7WXH~wHiqB-_^`v0J?A5f9t^Aumt34Uz^k&wL{LxwoI18O
z+gACnQ9qlMM{uIlb~%%W5XAAZ+cu3}y4cg_EXL{01)-d`;aRalm~2}r4rSLxIggd{
z&dc0LW!~Ts_C*+ZmmjLOlT;j%Uv8w&@_;$-&EysrQK&NqGaWifh1cb!tw-YdFsHgm
z<?UXJvXkyk1M8?*xajvaHk%)NcDr+HpAyGmW1hRCYpHN=yzZ2mEC8G8m=s$VNmwsD
z9(~-e1ACJayPETYuxb?CUSKGV#r<VQ>x*?Dk-Pf>N2w5)T#p8OSjyti8gISlr***j
zjW5=<R~X7Or*)?v$id8i&F?cOb)Z&y*ZPpws;7=KB|ZBnj|&4o1dgQZKyTlqty210
z#6{X2zrn4z>fe7{=U?gI!<$=fj3VN=H|1K^;id#Jo<Ym&yi`d2X?)>UE`h{4GwJ>t
z%IIcf(@S-xVx^~M$I31#9Jt$Db7Pfn1Ikp^gj_1#YBP348_MA6euqWYJ!-gGp`91a
zp^N$750sjD<xm)s@_4e10__a#I|oyA(Y^90PLo$2hlhl1<t#MtY}bx79d$jtRcaCl
zT&sY=we69kIhu$#!X)E6pa<m<k1HqD6tU!GXR>Kr3%9d+u82L;hub}a)J7{Mc)!sw
znb*{Tr>BSR)O`a87FLc8dMSf@`D>N10u?&)0gBgO8e+nDH2V1g74*b2xk_bFA#*_f
zNdA-&DE<tUhoe-%S!%QrK1xNN#M^K)!UTi$-z$#AsKH%i=7NN*F2Wl<heUHs@$FEm
zX2}5x7=r7QL)CO~y4ByG#%&IVPs-a*TC1ZywRY_YlP-cA*7T^xSs?#g)LGA2bqtBG
zSv+`;iW74mm)}iW!Z9u@|3#7pR6|umM^vZ?a!&eUw4K22_)XQ*t3J+-a((XJqm9E#
zR(ocA0LdSpl?Z7~jNIX~TM%6BwfUk$KPCW$gY;8&lA1X7j^^&OppLI&o~=H|XgHUz
za6Ra|27;1$A1mBZ!}dhO$G3jakhP$EpZ%x?zMq|3U{F^<J16zO^`_P+{&VBH!v}TD
ziUk(2Tvfz4NBg0*!PXe$-&~=`qK>21KU|qO<e|Rx&a~-SYYfr2AG&c-;4G9m!zUq)
zkqp{>ffQ><xY5Vm|ER*{g3O9npcqP2%I4;dSYz^S*HZo?6|lvPw&Y3*!$UY{a>2nG
z_KZ!gfA%Wl?c<<_kF5A%?3vLY!)1+od5!_E`IIo9arwudDh?n+)qjpogK24vqT781
zOwNpL>;B7xxr2c$<USfUyY%w?@{os9X!z_`gJojliT9`5xM)!Lw&3VEFAL+a1#9Dt
z(?m!{adllGz}u~MT*qG;i5Kg9K8TGGl_EhARn`Etj9ayJSOSG<X`zR1{vg;!yS<to
z6L=jSxv}7q7?gsZY{|CzMm!b0T%kN<g@>U@`jG*mFwo5Fy_oWW(6TpvdO*?&qLhS7
zMO%gOK26=>z`{Esba{|>`aetf3hj$@j$ifeScUE1o<<@k!LaUDiUpqC@8peW=SP9!
z+J%waR|M&m|BAiY952UXA_p^gG4gV+MD4mJ!j@*EbAaC*V`EOrZ$5FMn@8PSld+Zf
zmz}~l=3@qnN0+1d0y%JWKdaF}{`bT)A#a0>LQ}l_ed=M74I3=(y#MbF=O<!3nbg{_
zXoBq}T{8D}u;9nG|GpbN`AX!4Ki@R#X@bKasB9nTOt|?r;?V1({RICR_UNz&#(131
zChzLA20|`L4&g5ciD%}5d3nOdP-P~@&rulBX23o3*J7CXA;A^p6=j6pGp%7(nhe+<
zx%LxN=P2=m^}=k}4?`Sk4vo*NUMA8%77qp6j}eM&`$hXU8ltu5(<9N)B_hIQrrm}*
zP87%IdB?mqfWY>br<EfXiF<9`{z{ZdLaxSeMW431-gYpsqhWzqjt^U`(3>V6NmfdY
zukztsMsDng_X08hgg&#!b(Yxfu70!7LLa{w^h{?d3&ggk4o9}d%@ggG?nj+TJ?uTn
zspM$1KxoI?p7U&3B&N=Ur*^K>!{{pk#o@>W!Z9$HBhhSyunYL4VcVe#_weY`m!=ko
zkVHERj{yc`*@_xw?$m{f@9{T}3l<4~`QgPw#2UD4n#u2+qM}9OpvAtVCBnj4qI=7I
zCZwgdiSwmW@i6HfXTbGkVo5EwOv;i4p5s#$9%@vqeZla4>BkB|rf6*I8Dzz&-i*&N
z=XDVA`pW3V2Mn-y5i-hF#tx?*kyAfAwITZA`gmCiBMM2Q2J>s2@D(vNwNll_zb)?r
zd*jxCLnC$0?LIdm_HXJKKdA*ybA$G<3?^K(oPX{;&WqRL+RAAIn$XGC^J9C>3|L>?
z`R+bHyqZ#@>)kaGn7B1PSc(-z-QOJFF$+Ta8vD3kvj$8%^5`uW+0d?hfHmQW5Ssd)
zrEYZBK)|hg<?-4aP>f)h_GJ=*o$`9GFN5kRd1zm%HqHsjpUJ129<FvD&*x1WPphMP
z$Bmv#z1%pE+v(<XS`2l+FW)(6u8yQq!K&s(UR13+dTL#~1YCkPZIWbE#~Igjl5w>k
zy{E*BSnfz6r+G;K?iUI&-o2QuS?$%Gax5>-PRZcyunOacw-m7UmL2%dS_pktJIgGd
z$f49*w(P-Y3LLb4UU7dWjQMQ`-S%@U;E*U^#n)Bd-MAhT?YdDE4K{imf#Hha58Uk(
z>Y)y^@#AARdBqT%m~^yuRtf*Awl{OFcGZTO_n&qQizC%t-Pz>43N8(LUTNN|0qcq`
z1??Y_=qtL(dDTP>Y@f!QHkfN7M`$WhghdASQ=G}+t9=l<D{&&;P77y(PSQ#h<Pfp2
z`~6^r2FP=7WinH>p)%-Wp6M<Rk#Be2Xhdt_<wONbGdC5MghC*BK>?QydtBnIbil{%
z%YJ@_iost(XIeiiBE+@m>7fWJM#NQYwsGj;T5mSf2`yzDZ#?ERVy%nUZwfNYZ1j<o
zvsW@WK?QDGo>%uw>*DxnR`Z9q4KNjE^+EEpDy}@-*LmWs9yY=-a)fGxbk_Q)dQ}QC
zpB9UU%;-V!%E<Pzuf~Woh)zz}r4B7$=1?bHef)X3T;EZ&IuD!j)<z|3;Nse?KXy^|
zk-EjMWzQLNL{2jL%BN~VG`%*E{H+I(sPt#GA(n{Zkv4zsuLaf*aV^UMdN9eVi5>7H
zVC@jt&%~k)t8jq;=gYd_+8fQ4lLn~9Kdo=vtBtcysyOFksVGY@y1Q#P4VBlg9(j0L
z8_ngXyuEg<_8<epqOH6&ggN7$e%-E(jSQC+Mt5mI?Y>Cf@KbBdU!cZ0jA?=SK~d^o
z1vS_vuBmU)wZXg1GQ-OzT8LXwqs=^1!fk`UK6g&qAi#MglM$K--)(lR*Ha$bjz~QV
zDzpJ#;p1apxHT~TL_xAzKnn66KOe3uv4L&&21}MA3R*_P%Pj^(kokQ{hauGlCc_)Q
zsL86KubJR#wdcnf{-%{=cN^q2N*&l9sRBo#eTzXiSdo`J$+eTw1_qMz>Pat^;6K2_
z^w(sONd51v=}L|@7Sg-JN;wr_*K76b{pc^^<&AqAk5H|VbYOaO`Re~EkP#@3?WiR>
zrM6sCtER!DHu;y3qb$%bpzP@Rg>Goibhe71p(ERXX&0Xq%x<W@+(Q3FKb>s%W~L4x
zlXKd9m&K6yG5=?x-~|17afaKB1EBqUNNl~dC|-KAhi|Q(rsvez9P!K}Fzne?BOfe;
zo1(m1ZpzNlU5l7ctyEY+@Y=QPwpo5WNUs)OjGw0`Y;3n=X|n|1v&c5fARcg6oV_G3
zzd*lTyHRjxwd1y)UvOjH#DUT8l+;UV3v~9u+;jDE7P#HOyLGmJ1#Z<P)qQpIbU!cg
zmq$F!G2T{bdCOxB2J{;$oJHp82e<SM7oRtSZ>i<DXVo(CxnO_(C6hV2b&zxbbGs?x
z>#`=4L+1#q(_dZMY-Z^kkEJ_AB~9VSzPH7pZj!k2bx708VTS%~Xy9-}pa~eN2K0?`
z#t8eRd7C31)ATRlj!G}-#<+1K#@%mtm|&~ibIv$uimp16z?v^%46#=q7XF2NCrUo$
zC$it1qz7#iJ69EHgoHfDFqeog1oO6+9VU|#bhD5zXJ39ZM8)PF6RmA+#B(P(&#2uK
z^e|n|f`s*k$oP0OdS@p|+%o9YTfaC?&->yM`J&PQZfre9_P3*nkMFH)j4H?J;^sSF
z(9{jkBF8iwTvttB8?5`#=*l?#;E5*M_dI>{eQ&;~V%tPNy=zvxD|ejExojX4BdL#V
zCgPhL89L~8tX8{%-;LAnbww}yzN!aG*1=2f_I1%s)3okdD^1Y5cYiu6CZ&ht!^fsK
zhWF4@Tt02j$)BMAYN;ye&)0>YP5b#Qxjs6Dlf`Amev*D$y`|ewW3|7M4b`#^eW&j!
z%?_CpUcH|c5%cBBRX!OG^Ocqj(#yrX*{*U=(<9cDHmW;NVg79I29e)C>6=GqT4Z%*
z=xbhVDDkb-f#6<lj#!-$`aWCI+2r^vT_z@7V`@Mf-;P;dQaCY6*Qc<apIMlrUp3CW
zE-bE%>uLTIAHM&g_vQpk|0rIdSDg(b$~?4Cw|V2q+y`Uy&*9cy?B|x~>c@$O+H_42
zqKjt_vy9Vwn8UCCC|sf2vb6ba?ACzQ{e_pBhbHJ-RGD5ituT<G_D=_ns%u~|$@f_9
z*d)DzBB8p?X$|?#fIr^)ggSB}IjWytn5O6L7f9-;Vj}OgB_#H)dZ*y<jAWMkEPbz-
z$vbHm7IFhSt?aZV1^;m-FrPM?r{7O;{gceaM&1qUTS-`*->WA$uL^Bgq?c`E?5~|-
zCv%?{avF-O;bJ|f_1g2x^fZ&RYR&vyWG8dhjKC#TyrZ7n*dND0ZugG#;oZSQdgx0y
zKNL~LQWW*frZ0@--e@-)k6(Ob#QKzL@AFll@b$CXhzAq-&xJa&(^r6GT6*Q=XQBdr
z<$u(Uzs#hZQ}E!?K0(s|!`&19pI80i<R_N&fR)tXGYsrV6($`;6GMqJ%7{IxI`$-&
zoh<z{T6%h?DCt|-WS3&Ej7|k#EuW{H<hdZ5P0x3Vk>zhsgqjK~!)9tI?;-~e*`3_|
z`C6I;Ig&!}%bZj~VPaE!-8nw8ccfg!YFvsu<u9DIZ$t@~c{83oQ57JCgQvqzCdrcX
zRprmdS3MlHr_x=rP>{Sld#?I7MV{n87*69-QpUx^b;ccz!sLg1H}ZU`0?96WH;5Xn
z41V2e1tCFEGQGG{N5EN$4BL7vD7{}9n@<Wkbg!%>znm}Htj?}N>h!0FP-0bZ^#WJ>
zXAuc<@W;)aIp0*tPcJ3v3*1##`zPkU@kS|<|C$`<NDGBL=EhrnWUCsAO){poypSOu
z6+TfOc&|Z9l%{9jD5YR0$7dy<LOGJfaQ^jwLt13hDRaRqb{eo@ndFdRQ6T$tH5jTH
zsHDQPUal9qS{OUwP>^?6krb8i>2>DRB|i$}CXPhtp#A(K=g~1G^6;`xhd+lNX_C>(
z)x@uhJLJ0ZXAvsoN>lOXSCe{Vyyl(V-!t`~r181lkwuL(<NB0+wML(u^B*nx``;=z
znn&-eo~Mu<jDi&f{syFq{m`)s7Dn)R%ClLQM}tg%cK+|wTLbcq<H)3{y9tK4dnWE4
z(InY^4c={?Fd%dPzJKp<#tg=%`V+IOv`EzyafPYZ2IPXO)RrUfEl^WC3yT(Qa^51q
zRnEbH>|CUM_D~>D#^e9*TcHklAy%gSe4swrG(Pdrp$t$7)iel_rjlhAsm_-AdZgMr
z|Jc$h8sd%f6y94>Nnzd@uH(g2@@_}$Soy8he$-z__t&G6Ps-!7lAmjly1`r*#RF}S
z)+<jbn9w16W%7RhY@m?s{Yxp547T`Hxvu>uMTdMfuC}A<x-xlR3!g*-Y+-U&$UBf{
z^_+Li<sJpelL1XjKR#Zzg^YNuNAVp^(qPAWrq;I-WK_Pks`nLJIBl=|G|a3)KE2Oe
zJ>n!po|l_#6AG~fr=V)tT73$c@;kOZY%K>FWnt7VuWF06iW~jzLzNuy2|sOHGEZ-}
z2(hQt+8|ep-K^eRnJhK>tes}{g|6iB$&bx(bxz=(%T&=-Bqah_F8loMCrthGTkT(3
z!(rx?=Y)nlSuqsYWw>XWSXaRPqH?w0115~a&IZbmxeBEoAG8^8rE@a8tAqxz>4xK8
zg%V_%lt5Ek9}}WRb#i89Xt;alkancxTC(4;)Z={|EBwSc)VE#+{$BGXZ#M~%ukS9!
zw%f6zC_66TC_nIJtI4*rRs5t=&d)n)z8q*a{Xi91eMcGR%;p#ET%;1!ygO`|13Yg6
zk{Y$GAjc45^lp_8a^Hmf9oBLpXgT8q-#SYKA4!Pm;$1_Qh^|@h#>k24i1Uguffn$-
z^syp~T%gB^^2>gsbKp3I^=;4<b0iegYF(`+=^snlQd4$w;N5POCe2neG+roAALsZ*
z*Bo-#Kgi61Fz=YaDSk6lJ;{FV!uFM(?^YKja)%wK>{A4VeN9oo5Uk$8TSGs{J?R$j
z#g49~HCMhDn}BmoOica3m&AiB<S}0fc9?K)u54dpf*+jJIs3&g#MURr#F=K<Q2i;A
zW!Da41a@bs@xB@)0(ExfBu%iPZ!&PZUV{;0<rSg^R{K`0*Ghhbj~(YOjie8*&dGm2
zDD9KJ{f{_0DC)G|l^y;T>mHir8zQuIzru_BNrK{Wvbg>sJC@~ib}oq;Vynjf^2q%&
zgx7Wvdv7Za%<NjfjqRcV{s#a6|Njh^cRbZ^6vxeE@4a2~UaouX+4s0qb`nYyl9WnF
zOT)@a$|%`XvO-prbst1Yc1bCTj33#1<>&SMd;WONbKbA#ygv-Tiv_Q7ZeYzRf7y=C
zF~j3RS5u5f12$v7o*z%z!k$k|#Qyro0#{b;s-HYjhj&$X6Xkezu;WkCK%kQq3Orjs
za>%H|kev8~(~UGxPUkMI^N$Vo`K<jYDpiBcXEg)AwrGJRSoLe3BM0=}XYPtRpava!
zc5`J0^dKLlnYcB~2^M9IcbkUDusYyl(iz489{oz1JMCN$P}}(?GKdU3hQ3ux1B}qs
z$rb6?#0^IHWG#MqGSrwqXs)3!!3vmb7WVK!$qy&Tif$4tK90YiQMVV4SEW~ywt2yK
zK4!Erlmx2MLvA!SEKr6E=Fm3b2k|*$%~Asr{Gho}slLq$d3UlRB=ZH}8EySV)(uq%
zx>B%l`vW`F>(hQXtRe(=XY2f^_f$dnR;`TiYfjM7yIMf%5r)74kM$*GRmf&Np)5SY
z1se6qDlEyOFgT?9pX)FYJU`^-`0a3m(!-|bbfMz#xjmb*T}XtXqm6aKWL^-zW>4IR
zm4qGZ-lv=oiLiB_)$HaCKA31ru73Sn3V5G+va3cD!Ti%y)YvzEh<cX@((E!|*=>8+
zG@A&Q`<%FgjtIie!57Eu&2f-oOZbublL)WRG#8M@g@ElVd(gQgS$L6?THUFq3eFbf
z+J}!t;F<xg!slf<2sSDkrcza5<_IzE!$~oquqwzHyDC7uKjT3Q9TM33O+*AxB!E{<
z;FQm2MVML)Tkpstfj|Cga;u~iFh_Y!E?MD0Jd|1GfjSv7`I0qx@Y0a#Bj+Oip0L}G
zTy4yEGBh%1?MdAy13fy;yGI4+Yx`6lWU2v18)0nWgael-t70sL2#2G0<Of34VM#Nn
z)#0`*Sc&U<9sR8e8b4H$xgs^7qyMci;i(*KQuqDP4kkg9t@P8cFExQLPT$kLQ68iQ
zObO@KcJIxWbUJfd3zRtd>fR41z@IDM8<P)_fj!qk-qBoVx85k%X<QL_t-_JcE@wHx
z#a%{qx-d#`4G0=k0;-od>A>Ax&Jwe-n=ySTwf-hWtj2=}v3YvLfec^Xq}+^dHGro!
z+6=~*2|&2~$bEW=1jAVBPMOU<2s-@1Y=TZ1a$VV~f=`ej%Dy1R;v)tMq~-_o?#duk
z|KvuOtSZRg&lL}P43HX;=koG_GMKJ^7WN^jKy7*^^Rl`TtalH6j}1|Vt5=BN@fQz|
zH5<LEYK$NxI@Q|7P#L~Wo*7O(uL$ues}qb$6ri>`e@vqiKv0NVbg4-WybG}7S8q^2
z?o^L2#zug->Kl^R*>Ip~^h`>$kOF&UZ_fOufQLop_Q_x;DR}$h@blXZ6ete#lpPjQ
z0&_uaQRRE0AnZS5=vzYp+1HF^@nZ@=!%uhlNVx!z#0Ta-q*35Ml3pf9vOF9=RlPH0
z&I4J;WSRe+rGVQ(ztlt>IpCe+UTj5d@U<8()Q6*h16NuVp&bYD>0>Q+D~xdP=MoKH
zw-J~y*Jo;<lz};~!k}&~8d%clkk|L$eTOuAF6#v;&>3IqR+?SG{uLf@_T(}GPyRJp
zP6<iq@zefAOq#)_bp?;=<N?@KG=%^06$62+B<q%fVT^umL9E>nfb}5jeZsgf9Bm!U
zPjT+W$`}r}J$`|Kr=yMWo=`!!j$(|{KfJ}>`$w_$b?pPYN8Xt~O!;B1Jnt2A(Nk(b
zp7JT79YaWCk(5o+<Ao*H78Z?@b<{VF)bvQQA)H+L{&V;kH&nM>m5|bFqGo&wv>!fe
z0B-ab7(O20gp$r$rCg0Bs;K|YOw0>?_?^fevPEWtg|-XrquNxePVZRqn{hq3yBH+A
zaETfEo4?{1Bg?3-&bb?Ts_KDt9Y}d^?Sa_GFSBir-lX=rrOe*Fr3-G<B-f%I2Jm@7
zIpVKah7CQ`w4d(K0eonD&+}<IIHc4tc|i0XR+v$*;V-WP(YSmiqA4vL8ft9%GS-Q?
z9eQ$RGDI6hy}xSuR_|b3$!1~IVtrU!{vKZGKU%=}EVA&;p>3=&^JN^~{|9zBnm&8V
zObcqB_#T=(u!)TX>8-F_{f$Yc{{1Xfp$RXaOB%R6S;uUGpQ&Zl|G@+vwW*}aXu|!U
z>0_$8YnZ(FO~HPi3CvdlkJEju0n%c9X#}}dEW+KLI&gUkODp4`|H-NWiBWem=j~Ro
z1ydHW$A4z9u`7~o7sAz{lF{@0c;hn0Gb!@ESYsYj`I)xS&7cncO8f6=do5#+Ke?<A
z(l26_j20Kx!`0w+J3rH>1It)YUEH$7$P%V(G=lZAsX+?v@cD!G%h=gZ*X5=9R<L%J
zman#nWQf(Z+un*_#<<vB&n^$GVMi)fr@e7xsL)aGn%G{(sHyqcta~@HZ@d|e(iJ3-
z4esa7d$fXS)EQiqx7o%RXW7o2GbMo{m-L#i!zxCIZkTYX-@&A~4jIKFRrqetaFW}2
z4HI0{e#@^+3nTZIR-#sS|Lvr?+rN&lV=Q%@#G*Jl_(^l?d%q?T2rl=MsTmvCy6$s4
zH!lP56fe3yyQu;l&iqJ}YYX$qi#Z!#&Io^JDRCmL%5Z!^D08@E8(XE$MAckng6(s!
z0>UMf!EC|9B0O{l)9<;!YVXPnF8qy(*ewEV2*cd%W*TVn=IuM{&kC0_?<>9@#>1CV
zgW(gSv~Y9!`j$x*JA_5)Rr=fFq3BhXoEwfF+<C?B*9&mL+OhaT{3j&{vbse45X=A@
zTkk(EUF3#9qM>bpjS>_;74G4u-vi9cLJU14JTRQrExk0P2;Cy9Jsbs0pg!tUx)Z<$
zp+9Hy4DTp{SD(wZH#e9;T`twaP)h)ce{nq7P*Q|?cZC=BS6IP5Uwz14NC?(1>$8oI
zDuB=4z+Sg3cA)WQui=svfr#6wio6vHV5nxX9QltEURrn-i#m&efey84Hc<gu?sq<I
zH{*s$s{<<2jS`?xet^X}P639`_&3*;^1%Gw&n(tOQZRw8gqG(hz$TBl0=+ID1Vj!x
z+VjYO?2(<^f$s|79xeLo+HZa+T^Eu49gBk}ym3{B)D*$EpoPD!P!LRI4#*cP%0a_Z
zO0Qzs?*2TcjdxEIhJb@(w_o<l!-7vll%%T?gtCRXYnO_`wL1~bZ!;9(+0>QA5DFd)
z4zhmBoDzq0e5HcRH9UCvn_Ee_5@7s+fk}*<6i7Jki20q^-7}WS<$OpPDw^0*={%*u
z0&8ZVnh`;RnfrP0IU>X?g?Z<^kpbWRkt)Z8Nf4pGPv-%d1QQ?3a#)09Va9QXhJFtj
z<XR&CGj$}x(6bYwuY%<u>Xk*0!w4B<94fy4C{lyes#xu>bMm0i+dO(MPYvpa^x8U9
zHDKr%PVk(IB47nMiLw^zaFTuU*sGtKpn>f?9c)&D)RK!0FOfRfcC`samuth5)IG7b
zq6By#5ZS=?Z`UJ>i5%Vqx^SLv;!?T2GQ@Eid?u``LwaloMd*z_JekbSmi1BrW_%In
zc)mI~&+j2Kb{fKx(6(Hx6%kHmf4^$Qst&(Aj@<b(h=GRW)fo3>A{_dCCay|M4Yc#_
zRJKk6M6>$lpFO4u9t)3M?+%mTYZhJ5fi5F(GVATmyrc?&r=mwgKM_IAIM(9G6ABnr
z`hMBeQiYE{m~n7{0IE1i;s11u;gAAH%C90K{4MB7JN;e(?tE_(Fe@>Je8=KX`@gDy
zc|Cu#JA*9by{gjm+B61VuZ)qXx5|Lsu(>8>CIyt$&`m~B6TnTDV*@7$@OS62SdaIv
zPx{*bI>2KBr(CW(`*kXTi{Q1OH=lW6VzE0`b<7z0+w9ZwL=@p}Z9<69XJ&YDXJvgb
z%@~$UOq+Nu<>B4<t(H9Q9V{-CI{3xF7_ua^`>2;>VawaT;J)1yCK~c0_4p?Wd{O`W
z^GU1>_=pRAxOFO<de4pj8p~k{@H2k4r+*^_?n+;5o{3FRdCSWTQag=6fO~(9*MK<S
z=)A`%qf6Aq?@I+O7DhmKeZt55k_d$3zDp$qZBmU@UZmN50LZ9*_{dyC5blo$ITVT0
zAU_FSVV#2jZ(5uZMM-?1@AR_gP9-f`jL@?4O28l~@57G~4{o@9w%7ej866VQ2_$em
z-3NJ&ad+H`*x|6Lrw3k(9?jQvH}JgKojdj`^#eUK%x{xU>~*0>aaWw;lll!nBh&kd
zdK&{Mik(!DJxGscN?y=<(;2|@=vl|jZ5n742z0KZr$>Dp>eEV^`jEsJFyn&X#D0G{
z7QOX?4v7g%{XOWT2l~ee_vCn%v4NF|y>ImC&`tMz9ldg0kRD$i9o#>QDFiAnQ#)zV
z2!%!C%C-)io}C&oP8!9E*jnG-^rA)ckuUYHTI+zlMS+yz@;7X=z)R#P4=oaCVA6U2
zLK~hx;j%rX(TuIUzT>L!i3YXa`mnu2rwyhSGW{-p^Qh&so!KF&G)Rbr%eKWs3r-Va
z?C$h+P>E*WSy@79(6`<oh4yw$*m`B2m~i(yb<U=WoOhQ7?Hrj5=+)DN!k0_LJgZ@<
zC~K`!^HUn+#CU=Cd7%dM%$@pCIWtC0tMj?$J3xa<Is<JuaT+iuFqD{~H%0yD8ge8`
zjTVKr)<`U+t3!QCrC6`YEVcCCif?x=Ez%8jm(mnh2d3}~`e_g6sY7S66C4I~Xh|S~
zvo1>whRjc%kiWP{ortG7DmX`nde}6aZY!!mF56LD0cDx`+sQO$^c_8_Kd7>Ev4RX&
z8lT=W7F?xjw6WS|)i5AtsXdQlOvrHNZ}hW_`8Dd5feRx!Ul`G&&A#;C{UqQ}>XYZ_
z-=K2*l+#S&V?r0(%Neful0fWNwQg3|7WJd842NUDUQ`f$Y~U0J3GfO(XViZGqt;pp
zmIyJkAif_<x#2FV(CC~}&=f&~=-zHi*)_4Eht|I9!7qsr(l(f$UqXwV_|iD~U$Ubv
z-D6==v_ud|Xs%P7p+jz0<E0y#Ini~^m54D{73e-PZlP$*fb9CXwGCOgk?W()g==lf
z5OX`cI<t%sjUQ-j_+iC^goFb_(v6fs!+<)GiZLOzuKKc?SG=g69GYYPjsTz7c5}q^
zUR2$XQnx_nN7h~QhqLVn;NZ@K`s!H_Y2<rKai0L<l98#|yM%{#kM>-xsA5B#1-xFe
zSwd*KAdO2X8xNm#2D5DkIM86zp6uXQ5!CW`ov;239xTnnqSF((kYnFr_r82FRK!EQ
zX|N9ut~$*gLH*q5_>=SZ*QO=V0jWndnksm3q5L%x(&R<MO>A7MucT1;a!+rS79IxG
zWv#`F`A}BVGtZT6X|%$lr+wfg9tssNnB(^gpw#!?9w*&#NH|73=XWk1?9R^X<!uV0
zYkdXYV}r6Ny?s!RO^5)pgG+lWdW6x|y+O$%m*i1G3X{?Maso))kmTI{D2f6MXV5hs
zMP!iWpB)jT43DUG`Kf=zQBLqjwE9j7{ae30CU#c^KEC%$yu>MmI=|gwrwbt<>gc25
zuy?y2^~dZPvw<`^%_JtyVyuEvjO2Cta3r`I%keqmstjU~>D(8#Lqq|#8fKx)WN5l<
zY&%tpLzUeMa!w8;G|j5p7|E{&4LxPI5vv@c-)#B$QG$%jQ}0gNo2kQ|UUtbpC*@K3
zYWg1kZZd+)26^%?G+^U};P7gR0<ykSN@?>@Lt+}(<wpuyP{NjwerZz?(HY*JE$&f6
z?8(P#<=eHvhOT}jT?>yox(Ws6IMh+DbEf6uLtSvl{BAqwNI(ZWr})`<)KN)eMbK$a
zefSaPcw@v#84X6qRPugNL;G-BvxcUIP?4VRhF4cXxZAf*Cmc~jKa(=9F3VzYJ>P5o
zVV?>rD0cO`d7q5fSTERVT?25Qs~O!gB%-GoO1^JHNa)B`Q*wy85pc#vkMX+`k%f%I
z$oBvu%Jp2<+hCvor*^(@zY!5pLkvbq4+)4{#%bI(ivrVJ;?vCERM6)FTus<XMI<(L
zt#nn;7)HLi<z2w5Acy0%Prdibp{kRgt$fZI!;9E*{0lv06xkkD#!)1V$^;wILLM2z
z(H-OZK`sKaR=I9|@v|7RQlpb$O*Mww-;P&nRVtw~Vi&z+$^=lk=g8}%AY&lyi>_qS
zR7CMc!US7kZq)mjIy7u%42B}-Q&p1W(b0Pkeg^E{ixN5MMYOgka8J66$8mC(KWm2W
zgmXJoM%C)K)4RFV!ob5lL=%UsC|ODv<2?1X<w<8&G6nM4UQdRGNTW(xg`>ecpQ-*4
zNwN#IM!<Et=6rRjB<lJ5D|Xel3%jHjc+tef2yR*IeABoshPu>7>P+*-u$=Rk!hW^_
z9DAo5QR*X%y6yTc-<8f``{X$oe;oplG?}-g#tWdcLn+qRgO;!a+HmQFR~YDT&6UQC
z^P)z}fwxbYR<Uo{Ttynq`@p70cYD7tH|hwYNS=sX!<Kyoq`H3_LVJd4Y=<ic8lE!!
zq+zg*@f%AXquFB!DSZx!hNdj&-P!2BZ|v5wOMXJv=g0<dH1gUV(&IfS{9&F@>E;^N
z{NL+GQ6BmbD)HJml0uK}`5$zDd1MW{q3>23nWYDj>8i8}<}~QodyRj!*H^I$a%xn<
zur7>8jnO<a-=umMc<grwUct_t-JiFgpbK7p!=Y=*E7W4wsuF>~Wo&4a^_6ab4iJXn
zj)?yP6|WG!^C)l$t7u{l<LK0es|$Cn`4gw9D??V!{4tA|p63C3FC}eQ3bq`LlNqO0
z-yUnlzgoatH@UxWMry&yHO&Wf{=cbt-@kepPt9WkCA>)i)0z;16G(mWr=Ke3^C3cN
z|2+1k<o(qg2TkyFj#}Bz(M284xv{8Eox{BKs_72C(|`lccg<|CA*#EOYJ-^599H9a
z^gdoo10s*OO?~!xMEzFQ;*>5thsh`0G?pt=hvktL&bIgESpJ+ko%zZv_O63^ic4M{
zUJ`jp65`F+#7Glc(a!9y$b|T}K34<3?V4T@hfd5xNnN^9VGgs59ehoeQ-eh}UUz!8
z&)CQQLrw4f<}l^~Qj$sm8Q$oX52U^C$MRENo>Ta}%L)I0OST#r4tzgUKC<`&^J^%J
z7rQ)<Ns^cb1M5lP*0WU;dTR(<+`KrZq_lwL&e0ebT9M$>EV2Et|1jpi%DF7eu!vEf
zPO+1A^X3k7LUHi9KiJGI(GF(DCCtY6Ylr6)5u{WaLrUGpFe&{cUO$y(?8C>_xlu79
z1Z?K83VKaoj~BzaRRdSBT#n|r$95{<cQDy1J#-S&sY@}7+*-v*Ujwx~<CWpY9PdY(
zs=t``&)4nRdFxoXorlNaJ_0akiTh2m%wq1()k=KBHZjQzO`pS31W>!2Sj*5fhZ%DG
zt)F_bjafNd_q*VO2gbo^kwn1-EL`hq;poT?CZfK1zobP8Of^&`3&R&NG2^fwLfW(t
zF7f587ETEs)GRH}@h)QzUOoORkwFK6*QYpe;fnBsrlG>9X$6ZoK+WR7Gk|@42d-dN
z0oo#%D&8ioVSP85c+3VF!B=xVh09d|Qk(ywx}**4_P=x4(e+F)w#l>h>Z?55!skmf
zeb~Y(iZcS2I+%fnzF%j<K^|t$Z95bbb}*0ZD2F|KZ14(yH~h|^94t+Lu1@(w0}_Li
z>jm)~fWifOX1wL#EQNd0^avfyn-0>5<Z(e;GEJyFvmAVsHMbWTr3XJ&8%t#+9uVsA
za#t&s1-j(}EK%u<u-q{k`=pZ>ZW<e}I=aY$&-<^RZG)HqNB9^To52t3bho_l60&e8
z*t_jU95ZYIli~SfL3lGjG7SBTgOb&~u9PpVU~r@}Bf3c#j@8VzWPifJz?r&D6&nsH
zR?PLbmJ)+6VLh?XfP-Xz-b>d*xghR5P0vJ`1eAHi9gl9u!9L#~?W7%U_*f@cC{C3E
zeOg6Fn`InCRkQP!r1Qc-y_Q6CiVXD7KkH>Mlm&_l|L8F{emMWL;zQ{O4sLTA<$lkX
zh51UCP)|!i$ZpukKmA+|s(HS;b{fe6<?q3cPFG<FRTUAA2~q&Pe{U{Tu*!qw@-;86
zEK!J_R6H(vLkXt1m#+{w6@d9b_2L?f1o$lRWVlBWz_4*<^r4+1FyeyVl-NkY@eFaF
z!j~%WqRvvV`HvDDY_V9MD3OLw*x{VAud2YGyTv#7Vb`x(CLCjAaS;FMr-1-18IDVD
zY9}xgfhh8&c{WcL<njl}L=H9BTEK)1kCMP>Y~K?OJ$d-B-!5c~Ssnc4xV>);l3{zz
z@2_Kz0xY;E7%Ts$4mzvcn>SL`fg)U)bk|D>1RQR~+Gc9N!;R-l+4nUe(8Z|d!uqZ^
zvHZ%+lF)=lb@yeZinJm1oRmJnUm5bQ8-!wxnh>6_-Nv(|3)4kS7Dqc&fGhr@O%z2F
zsw%x4jO+}6+!{V{e}f3aJ8IvacWJ<6hBTi{?LJ7J32fAwQUxKUgf_L^d@bW`-Cz|B
zK=m-(ZZ#vpujxSFt~NCg&=!$^93$A+xt4p$p9FS+L3}en2Fv=2%g3HmK+Z)!qiWZ$
zJ@>1$CwwJ>N#PRC^13nnqi;LdiIHG<ES9bS;bD_D_0xWF6Nnj{D6y$mg@E>`W7Zes
z;mp|7zm^yixK%82Z#jE6r*GU&Xke8A&cdBZ=2jD^e%fQlVyFTaHfqyYQ$%46yByNp
zZ33k{gE-X$0^DV<xWZJ#3mlD6Q#C~<fWN;;+Ip=7d8(FfPTb7!=s7Xs;As;me-`%f
zLxlniTsl#cslSf3b{EMtZyQ5b1wB)2h8zs3HvLp<@4`H<{MtDeVhl9|T0`z&9LO$*
zUut2Sq;}wY;<MH%5HXSFt$S7)itR;;vdTB8okO0VpPr+DF{$HbUX27)Y-LFBr_!N?
zR9}xnUyYzBXewf%M+974xdRFV_n`8)L6dz4j387QEG?x4A<|LWWx<FUQL`=1{dxny
zPuDv*x!X_HH_c3{Fe}m;=n|<U0sNPu+W+Ae7vK`d5{Gr!(A~KDQmGRdXs!Hbbyb2D
z0=^|W4R^31y|u{0{vP`vG}|PHwv`dO?ylG8|6@a^$9~k<1Q^0>`E2mLB^t>0OB!mP
zU_;-Z7cQ%(8o)$;#TjFbb&S`In{F+K4GltdqT73YI34ddl6q<$W7?#7J#EE?itay_
zW&EcHNoSq&A2j~KND)E4bTh0->V#yu={`NU7&q4Zd)Ira|D^@3C$OT4G{uHf5xOwZ
z9jq|AT}4fne{Y^^#){4yy!tJ@Uk8?T&?dLUcj|wp#}0=Ju%d`bgKa0W4$zvt?bZ<;
zqYlR<YiZN4qNax_E`o8|Ft=c}-C{aJbu{Uk{L8Xi|FA#CZB+|YU3#yu{#>9s%+8Fo
z=(3_kY`*okyB4qqn6~5`T%l^+5swjl$ch+o;-W|TG{IE#UpMaZI#tWWU+^^>8_HZ&
zIU8cF34MYlGqxAEs3}i(3g{}>5W)XryX7YhV0$vAzeL%gn$3Qx!NS>5L*R%-#vu)e
zuw^+vx<i9{kDKpFxXXc_pAi4*)2|NX_qDGakJ2Gbu*P4$gcCLDa`v>HQ3tDdMdDx~
zJvw@&^oCd%7rK1!=ycPD8YHlY#Yi$TqRUEUxB1PvQEDvt{LM#dFhAYNbL;dT)DmB-
z)}+9L*nfIA%4n#8O!Esv&Q2y2^r&=(Mv@mr7nG!}e<MTKo=LY_Q)bk9ON9-Q_)u5K
zFM>@t8J=$CY-xXCK{gW4oEcB@BeP4ddLnhnK)2@Y&3T;-_2g2_|KtjwfOo8-B1<Ir
zPgS6!Sc3zF^kE*?IE9dPvczKSE{K=?ZyTyHaiP~n7uUZ$7DkcJy5tgqNf5$!kAcj<
zjU3<K!|yQ=MaKSN+rRBe@FFaX=_d~la-dqRPSS~^WwG8BXAKfm=UkR8(%?myfa+P5
zDG9WtVd%^tL4q*njtZLdeCVIQCwpvw08Bu$zZ7z*s*c~}C4pag+>BrqKRVG~sbn21
zjc%l?e7Gk_f|dIrN0>zf5vfsg?0lsRveP$DlEjnX4CkA=@<&3*D_6}y_%9C0yGICH
z?)uMWrf71Zf(Qz#yHfQ}RSvPd+n?GLLIUZ`sWGKqQMB&rlqwn|kEFt?)a*Wypgx<u
zbv#iVJ#!&5KL4hG@O-PxKL})q6S((~*-sM9AEVj%qN9YQ9z~hxJ}1ME-^R8#OQn!O
z3=82`5*`(99WhqlomXR?j7&<oG-CepLZ*C?fWDpgR&yRw16;h;Kt`Pm8u5->+%Qr>
zUw!c^lX>b;YO4H;*p5Rv1L-N8H;L#t^FO-C2O1!^?UHcdmn`a_9L?i+tcs4#2@gob
zX+p1g`FoW)Ii%AodM=VeLfS4#xv8(TVA<N`l>eqYV(YuB)0{~{D%bmNz8=?xYD>TN
zjZFo#Gy5s-;tvv%3ocNp)zk%TpN@yje-+XH00030{|uLRIMsg?$L%d#dyi|+d+q%_
zMj?tKBU(a6r81IAgRCT?C{boAL{<a$q$H^%T0bcnS=oEU&;Re|^Sqz)yw7>PKaVCg
z3|M9;*!<k9IwIW|5>EeYifmHB6Olw}*G~#&Ix~D!`DX&h-`;*Oe?b)$gFB0&Zc}i?
z_GVGhAv17n5@EFzS3{Ny&f?~(6dX==oh^N94vlAj?YVVX4RtflZ6Wb#q0jWgP1H>Q
zcH}1~MLwwEzv#cCJ3}=vL-T}b*nNP8wvP@xztk{DY*8p7UJY|{mP*sLEuh6&@ULf`
z8uqh<`xttu;QjT4=GsCF$i9-0mF263Obqdx$n;7$+p3YpPG<?>A#c>+hbsQU1g_~s
zd35e;${QvuAy?0QC5o(y%Zm+MkGSP<?W5)ORUb>(J1!F?0V-G)z30|dLuqu#cTf^P
zW(mU{e&XVW%E&sG6`qwWhI(pmu9FX1g6ou9jT=b``=t-)sTm3(&%v>MwO|PbEfyux
zUlh<&#rtBCEeSoRGcqSREdhM^y;?VX99&$fu+HE{$IWUPqHio<o5|w5uK^iX%>30D
zuCU@)e`llM2n#U(%1-w0mBlh@4e#<X2HbmJ-FI5r0*p3&D2+>%!Pm3QwAaU1X)6Ij
zq^&OimJV%-Gf0y{O)hy2%i=j&%go}Ls=WZA9O|x$k`j0=&Bc9(*Cb77?i`hUmVk*~
z+y1H7q8P?;WJIQMh}NU*65ymlfF`S-HS2X@OizBCHObdU8!Ocs^V??*4)$BJT@wZI
zZgXA7qq{$8k$KjY-5F+Z;>_U(vBmtz(6Q>r=Kde8Yh28vwZjz1GgnGfC;9M6N_aqZ
z?KhgHrE<m}ep8U^Kc%s-pBGEIluzdq-)RF3ic)vnO<?5Y{GLBE+~~DgfJgIU7p=fT
zUx|`u47biYKC%tr#Aiu*Ur&*L(ZZr#K9o-y!6w_mo<LJ}6bWOOkofzXR<esKCSz>`
z4~@#CH0@cDZ}EpX*W-TLpR{oHqqhy=nOxI$y)0(j@^EdO<J};QB2p}NamfJOUYz;K
ztIULQl|hevlt*dGqZM6*rvZ5B(|H~kV?aNag)ZM`<Fs=wAO9u1&<Amd;F|tJk4NSI
zS+$u?(G(NuT&>mhAz$cK%R63rR9yYWpG}#eiP`x{?#j}G>;9#xwuk7@pkwl2jlmr4
z?r!zRg`4z%pRZu6+=q1<jiLH?<jw^ewb+%N9IFdV(8cL3woZ#T@d@<2xI~*!Wtpp|
z*M;Tj7&+OpHQI=a*>YLS3a!cLfqT#e9WZDTV4aRxqnTd$ESRFUM*Hu!+8%jk9oWWt
zo<S*VjV7K*eDB#shrP|8EB+*DLtbIw@Q1NAn!rgHr)~G>(SuvJuS!H4SRZ?zDvw;J
zX-`SOX)Z==W&Hi&Mllss7Z@VsWav=(aL7HucqUv3CK=x{rNVKa=NjL0=x}gJ(1l)-
z1x1w&Q#v{+AfG0@<ZVQcrg=HTyFakvaHUw=-s2QtFe`Rjn4m`q9=GnWJM73d;#stx
zL;;y3PbG<$3|L&&JlU1Ti4gETm*<!k9PU`ym0!t-e|LzMI6UIUgI%TjB%3rrWBbjT
z;zlN{WxltyZjJ{Fl-9f=<uxJ5??C_6DQ1in6@6Z;$A>kEn$w??HNf-0C<lWjD>Aq2
zilZcwP@ZnD1QW9c%rixMjaIYa6#Gg-<uX53ndTp2j8}))rm~TfjvQ$5J)-4of*?|T
z4a*os)#1t3(@{KpT=@2*koa#yVRYLhRdwX48uZvwrXBxrW1csMp9-fa&Mmyi8Vytf
z)?<M+7dd&6W8KCpi9sCyl4GS#XsN-)TFW0-DSViqReX$JRuXCH3?5tA)gZAl_}7kL
z5+)k{%Zl=s#>^PK4)GOLsB<W!cWB|qlBRAYo-rBZ$%xgRXH^4w=8ipcgdirjI2_tx
zB8Of~t4$s{YH<8a%;LRHA$)7yoivd{Mv1w5XU#6CL1T2~RARgce)FmsFc(%p!u3=O
z@BD_(0fnJ(FELy-Z}jTOQ^dS`TT5zgs6)$#ih>R&3Cv#1yR(&0#*tHWj3@myfa|4@
z{ZU^j^m_O+fOl904?Qhe|9wmo^s`+$^BrVRO=-KDRF)d1D2eLjR%?N;W93neFj=HM
z$|jy|*T6<I>NSxZ3Md99w3j`Q!;pa1TV^Yo$o@XXm=;5Yd~e~?4I^Y!x25Nt+e$$r
zarvT(6m4i`@e1YER=}~Ci-{9#R2-6+;A42H1IB^xgSVbh#JZ}y5~*@3=JoeG#*6C#
zTV1!%rdLYH{n1f%i=j3S^L)~e%+!Z-&DOPF7*tTGjKA?orZ(o@4EV>QZwQIQ*L1|F
zs%YdF`t0``ZEP+4QqDYX1iz9Mn?kp!;pNQZuFI&6g?X1<TWd`~+acdz$w(c2%4CoJ
ziquBNf1+p}Zw7kqg(3M28ra13AbDb%is84qgH3l5z!G#NW++1gNdkW6ZOT+U!ZYP?
zKN_Iw!$hq6v<8m6P7D~8rl9hZ&TW1U7VxvK=_YV#;wyUwGc}q9-jU@lideM(e|Pgm
z{ay{US!)xs8&KWI^WinQWJ};^6HGfDqJfL~z25rol{Ru~_TKTIB?K?&=1VlHV{(M(
z>%nw+tTwo_XUN71?D<q!zkO0ey_MDr(Ys~w)w!3BqerYDwUT_bzC;ycWTtN>g-Bp`
zaE!ObaVyv=`?%z;y9(yQ?y=r9A>1daHtV&^3PwJ~lpXC+!oD}TT+Bv%sN=di^i;|U
zf?j2Xp5LyBihCLscxKozVc(dm>nBUd=x~0pQX-F1x-u@oNQVzLyLK6dSwi)*>8u^h
zWPIB;WX@4LLrY9|(jakJ0zFIequzb8xVtc`q55kNt!~#3i}hO;P_KB+E;&vb?~a7_
zln3V#ZUPNafeIGTS+A;a;)n#^lON`Ek@!hO|J|v|QntZIqv%m;q$nEx5`D=UI820;
z&t3ke4{%r1ERCZ|2z?suX+I855?0Y6p9(G#Q2Tg+yecJt`3%EtonNMjsDW=y9k<P)
z<Hpyw67_r-nyj6+&wiF*_xjTlSZ@aIq0Aq;C3!G}q59(Z!Ypz7u)%Y-0aGxd?8!W&
z#EHFIGLKy1oFi_DouVJy;GjE6ul#5lD`xK*N&Z<nOX%}&zqw*(0`4BSa^&|gVVG9&
z-NE%4!j*1em@m#4j(ucHX^Nu9{)i)of+c2%fafJn-EWN`y5f+=Xx~5Di+bbpgCf&}
z+wgNb7C|EznePo1-oHe9XjD9<#4<%J_HbU=xMjdpa6aXx&m3*%h=%XZ-U))z6Q<Ah
z+yH={PL$F=MH{seXz^+uBaZpL9x)Iy09&q)S7i#uXb*$O8=tm}64S$P%EH3+p~&B(
zUdeihwzG}@{rQ<;VsbW;E~-lp{EeBp%ToJjH@0|>MA#1z<g1iSfz5g#KW1H|F!7US
z9v*b@+vh(-<j-dx87p<+LpNG~e)W~cURL^IAbo)F{>?EcuAmEFgD$79o^Pkk2Od{H
zozPDlf9_7v&eDPSD_I=NEN^I2zGa(2EBgrZC%zssf;xcJtS?X3*U@rM{;*~u^$~V<
zJx^X<(}wa*d)NND+@sm-v`Jsf?<Iy79iFc8YlHe+#M>~-BqB5B_9-s^UZVA=lV@2b
z6&}YH>&j_X5J~4#=>PNTB{FWQwbjc|fx4~1_GoH7F`>0(+~7hlQDH|VlS(MCsrZG3
zSL7=~KK7urerGQc)_0RB-IxM<9}GyoZ)qWNBIy4b?CK+~e>9Wv%+vxam#(C*?H>qm
ztM6uH>L+|EdH1Kk(1eEY#GXB$+ld_y4>5l1=_l9>f;dYjHNbS7^`yOCC$WW9pvV62
z00CiI&(14oz=KuS?7nMXi1uO6kHt!Z#4I1v&ar*!kl3w%t6<?9A@hSHD>r?J;5XgO
z({V=)Obrib#2xM;bOUa@yr4HiY?^tREij-8#d~zFsVsLB-_pg!HMsv0@od{HGPG2o
zYQAMU!lj33tq5IEk{&0j4u0aXI;R3F&$Ior@Hb)W;;i%0V3NpAEi+^6R0b2P6z%fO
zeMHVFH|M$wQ$)aF-t(_Dl;O0BpA_>@KOxsNldLj1O<X_j8GkNG3Fyk77?Vo=5Q6Lf
z7@T5f2_vE4Y=uch=;YFnPrNZiY_(d9_+m3pOe~bSSGy~M+0PZXz>*QdKY~fA%W#o6
z>>-&<eXRiD@ey^LGk=M?j-v2?dzOii&_w?NLj~}&?n}}+HbEHUw$J``s|0Vy&sQ?#
z@^EkBwm(U5ieR}K6yM{qP827PeSfJg57SvzmfzE+i7#KMMt)NCu(?3UthS5{t6O?3
zR19Yci+RDF<QfKuNI&SNqfdsI!msy5Smuefm~xsx1QSSkHF{rsDF+vN%=eNR774Ly
z>C9LCS)gAikCVww4&oNxrs`3biRw!Vi!MoQ@Kx{JH|mt^Mn9z1)?}^{6=XJ*oFNX#
zxcpyK!8KV>IGYofZoW>8qO7(=G&hL7ig6Y*l?BlYdxwhz=%Lnhf@7V+3kUwTa-18N
z0mgBA=e0)+upqqKaj}UHMr3^%=N`yFY&!3CtuQ9obX!Q4JBA;Ws>eKgPRPK{xAHQ<
z8~%tSODncuK{!^%A~<U!15t_+Znnv6kWQ_Y>P-{|$&R5Y3w0TAXvvShJ<0(w$tN$B
zcZtF$MOlTdax$P@KhKbJi5t!)WPZ5fD*+BO2b=^nWFQ5ua`kQa>;L@KHB?<1YCkV9
zSvtu8d&%`jzZ?0Wy+hlbSxgo-)otNZO_705KOP7?I?WG(>9VV(G&!gsWtmJ*$$)+4
z_BTp<1;KKA)M=A=c^F<W_)>gY7TRh;q8X0}!&d7+wuKNyh?IQ)W4Epx>?)<UmOK!J
zpnbVhA{Uk6c%q4toIDxCM#l0vL?xi+_NzPl%T+<&vr}5ZMIKn*2Awc^Dg_A{Oh2wK
zt3w6DNK@1Y1&A$LqhvP80NwEew`M)GAhz=ejUh(~lmm&^#araSiTm1B>s|^xWZt{w
z!+RBQZ<dXp?j{5OXZd&5LfY_NTf8ydUmY&a>~yt=R{%M0FPmOM2Wp3mgECHP!OXXZ
z0Z(D$J=aXz0%u*=b*$by=R6e_Y89I<)2V>@rW+5RTj_yX{oqVNv<^twxo&&jpbB7P
zkh-5vACjtq6M`D`V889YdB$VvuuS&O&5O_nv(7VbB{%wvInT`ZMHWrisbd?1S^ChS
zvZ(p+lQA?%nGGKa)dGjT8h(tP`cPOJ@_cWs8LWS}Fe2$ff#WsP?XwT{fXh_so0ufP
zxzNv%S}hcywXY`MNYn-8*!6E20TwWxM2poVQQ^0g?_S9jZD=Q)pY6D138S@tmb_J{
z(CcS#u!w^Sw}dY&mgHK&AbCH<mXivVZB}<UvNa%ht*Y)ss5QJhDiF_FOM$u2M?1}4
zDT8lH;x#kQ&F~;Be1Cx^1<ZA`kGnOK;dpua5vPNjVRpCEuIw>QFuY&1$-hw&ZY;6Y
z7Da6a72dk07Ih6c5})j2oge`89I0=uHuU#vlJ%n0)Sx7HXy52QHmEtULRt~s4Aq`Z
zNpDw_A%672Zns-AMAuFOccxNn=$YT)kpD;#pu9I{vaf??Mm^j9P|+F&VsD);bCU<B
zDX$j|j7zkT@#aA16f4l%#q4;DK@RA<tS-a_Fkw}y!2a)3me6``e_6#zX;97eu+<Od
zz+CqOFTHkH!sm(z6FV_+u=VKoSpK#NCrK=Awv`qj(O7g~Zb=B1l+!fB7I^WbiBs8S
zF$;*AWsW{5&A+itE#)oCd>9gPzOyGD;6!5I=>jPp2)L-Kw)Z*-C*=9gn5+?C$Yxu5
z`vx0am}6sJ_)Wsgh4DYemd#<?uBTFM1q|SHYW<4v0ttPbbNP?6n#1d@XLoFkTP6-?
z{HZn@B;m6gC+zy<%;2y0^3`{rCy9m=11sBKkWgXv^B+YAQ~1s0oqO1_hnPqezbBGP
zLS855DXxnqFzKQwp!GYQDD~2u`nZpTesU@E!7q)$o8&Aieg8k&g>Wn0tGXl<ePmc`
z#bXRbLZg+HKZj}3hjdR@3y{!mhbnuvj}hcLyqP$9ZJI_o;lj0ziG=6Aisx1}8bYC{
zkmr&63p4{4y@(wwB$Ubj)$m8z5T+c=XQb>_X_KL;M<*pn7$VsrTXDkxc27nz##quJ
z#f!>aZ%0B_D{g~wP6MDf6&t#5z<{l#cO1W8A>o}1a}u}X^dVKY=deE)6JD@SV-Ox8
zVWWQCf15e<VdVUiBWK<)<K_jKWWIg;7`;=G?s}RY%*S^a(S@)g>o)tx7GwOVzsK(N
zC9)pO*%nWPk=QZyyrl%!bpbpPBK<_^nJyF?U(oI-;lQ5FpA%YL1rfe%`gPk)7rGav
zwqLQ~!seblrmxyUSXreWAiAmp?>bA_3kSLJRESbWjEXS+wcq)?@171QcV#D4r1D^U
zp!_ps6A^SttN7{SsRNH<+XrV0cyaoBMJCB#6wl-wG59W|15dd7_=FPq@MOBR`lWI)
z9F1TPp88K4Zpu<C=p#w^r0R%BselAJa}}M^Db|McCEGHWaDE)K84^iLm&Ay{a~byM
zw4p9ogE#uT0CxY_-o!zX#=O>3>i_m@1Ghk1$LE`Zm{fJ8a(jpjzN-v0BX8G+ieq*!
z{9X#-ncEyYpLoh*??-jlavN=U&L_wwwkC|PBsqi9o#fEZSt6-)L+|7}aP<0CQRF@M
z?sA_K8BecS6NWz8;I_K<SNFac##HYpweXb38^7sPqY|{?ai3@Us;C6cnQ}jDKcaw%
zJ1xv=Y1-f@=Gz{3TN0n`3;wATtBB9v2RxHt(}5go6YY5|Y0RP8vgze2VPWv$g&zlX
z;P+QGfuH~x)DhP-)p@RrzK-FWIXiVAsXxdj&O#PPDxSz^w5i~f!<ieGJ#>NVQ;u-I
zlpKz~EGS_6u8P;Y<z6k#>cU&bx(g-ia_Cms9^u!nhJ8!6?~;o2z-wg7%bUN+sIkR=
z^jn2G<{AX7%pcK*pT&<N$6v@}Wk6TS!U+v@Ve<K8z108=8KXzSvlTE!s@s}{TNBS*
z5D2a}G6X)$Yw{__6!9?IE@rz3O*}GPWd6p;2y)JKHX9fyVen4N_T#0R7<o72+K(;9
z;2C--Lt#t_d+Y6eWr{R$kn=Rpc`p;_S`P`CxT1{O_5(+c?9s%bRNVykFjFvFTp=3>
zs-Qzq+4hi+8hA-YG1BF-8ThIEW9o@g!IPq22VbtKWBbsdmm?YGAeUaPWY?^Mh5at^
zPe;^n#3yOxXgUGOEpDoDqbg|kk*?+1O;zk3HtRDo14zlIXl4$pV8c4Od^^7iZoB#A
zzDOQG;C%tpBve5blf465yp>S=l`;2;d4Py<MZ@f4Dj4==z31vR1q?SZTfJ;(0p#c_
z`Z_DhSel<7NvR-XALXc6&>;&jDDH6T^j5~<v6pXbTV=6~zw-9Cixx2J7m`K)Pzkk0
zGt*-Jlg6`ihj`pBTR=fv7a#LCMNF}B=>}^Fe9u~(#kQemS(5rvJ+6SxA31L@{t-cT
zUtN>S{u{h&W2YI;%41iARo3J8g4os-Bli(D?(?tO-o`O93Nbes)iLp-)uFcV87>Rp
z-a7ZnyGIUhzSwl#IfWOWx<2+1X#?<<cK7P|D2ob4dB1=6aiLyeo3TRzfTDd~%I=pk
zxP2wue$J5{B_pFB9^aUozo6V#zmw9~JE#)3;>ChZum4l>|BnDwn|>pfNJ;$U8Z!TC
zoe|HHW#buj2{6~Wd$KG|9Cb_gTS}@iV9p1#>%xiV;8W>Q?D|F&*P?F7b$_J8Ri(7;
zX+O=NJpNGhpqL28)YPZOHm%cs8TqxYX`4Yqk>rZo6(N+0je4zCv_@NZD{D=NH-*x`
zxb*ijf;bXC&8wigMw3ZB{Z6dM1X?*y%+`PA$DbB%5&_0*G@YmG2lg17fKluF2A&cU
z#@a`hS2eED>Lo9Vw`CXu`rSNbl+TB+O<#oPSFF?4CfaVkT{Hsj2&LRT&v?<Ct}brp
z89KbIxvM#4j}fd>Q&(U2@Sw0XAvm^~9(_;qY<GHX2uajgs%ZQsjEl56JVjwZSGAkx
z)pQJD^YOS+ZhvkR4eh-2$%qj{Wr%sx0s~NBi5r_g%Y~{r`O0j2nK1VDcJVAx1Gu{5
zv5$T;CniKL%S>f4qg|fY^zJl$ILP?wo}&dP%Cwiw)J(IWuKJqEH9mbHi@nua80J8m
zsNGdM-fRdYX>E^mJ(#sRvP+W2fdf-C`~ODRF|VF^wN+dXHVs8d&NpyiZOa3L+$)^;
zTA^W)vsf4YyS}`4ZIA;WJDX-r*mL7kC!Yl{(uK~zU$tw7oOsc&)G0}c2Vb$~1m9}Y
zfh%?5kGU#1aqA&=Tboo~ELJ@9#wkb#!e;;ZBsy}TI!U|Z-W@));h3x~;?jXc`GU9d
z0^A$>B9^L&BwRB){%WLB8#a&kjDB3>M&*2sgL<?4NH#VajX0nU2ZWa<nt6Eeqbj9A
z)=UtijN*^g32K9~fhyArGB4sSbzQI9La596_$#%Y3XbWUx!pT>@lIdxwJrQ2xV4wG
z?w?Kto!FDhq8WU6U^Rw~k}rzQ`9`j+`>Am0u;+ox!6bZXZ{4tEn>e1Srb)ilrNVvl
zsxtFE{CMp?P-97wxZ2N|5zkMB1DERQ-tQN{X|9X+a%ZHlAw*<N?;iz3%4-7OM+)Ml
zd=2`r2pMc`E*9>arT{g<((&y>Aw25RFDHCS7Hz$YIB0VesQSHhQg>Duzut%-+uxDH
z-ZP$LVb+bFdV71avx_M9oy1I&*Bji?(PrGGOa;|zxp#EliD71%?^?>DJj!p*y}P`d
z3Nz~`{I7aSAU~^_jjOIAG7ThnX5FR2WTEJmT6!sTU}?VH6|RJKrX<JqWhzW4e;5v}
zmqw2%*0-5;%4n;%XIUdi8;(1U$%Ma_!Ludhg?#j?_}pG|zru_*h*;Tdsjrd6K`(L#
z&3uC+3yj0lX*$4pbTH#>sT}@sf9J#!td3gQf2vMy*9Fy^Lwk4KC*#!``hB{I8W?#*
zyo$8ZLz=@(>tc%Jk@4|$!JIfv^w68{4%x`<FC1(h%vHb^o2%sZJzDtBL_+U~hyi3e
zJ939*D57uX<lQiO3ewoz`<wI(A;YkWlzveOFHvq+B<fSpeMKTb(9a0oyeK`UvsW2Q
zVwRLr?I@VRA1Gc{U<|iB-@A>;tDyBg#ms^YeS?zR-<(ksSh^J>Z_=)U5ySfx$L6#U
z<eqqT=$OHSud?rI_Nb!Wz3MJcRW0<qc8tL_%p4Yu?s(wWq>Acs6E6;NY9dF<!;tEG
z1O&PN?B-@t!@oKQhF)Z=V?)khq2&R9bjR_qQ$lL^Y@Bdi9acq~8iO+nKLHMPW<Gzh
ztcocw>O@plm9a_A=h$643$XJt-*vKF6-z#NuZs35;y+eVr>YzaSm!SJS8b?@zZ<My
z?0O`Rqe)%S`9CbcT&c57^o9zWM~|xy9GAoWE(_+v43@Ark3lr^oidu7IJqceB7^fz
z9tRjmmhgls83ezTuv3>$%uz=IE1&QzIdEFS8EJ?b`>u#>|Kv|=>4>1lU#-qBlNMmR
zg{Nb@P67FB8n2tj3m}*M?!)9J3m8s1`@J$n9&0R0=$@JLp;zJcV^fJ1@Ftvo@SG<Z
zD_b=^l%H{-{E$~M%VrA@TE4@iPL{*l(l?p+w6NluhHNa$22W4g3Ck}1mBBCmU*6>u
zGGhI*xWTTw09U5eM+YLMF;=aN>|sTR3Hyh-S+)SM77&MDQ6zEs3uKijtk9TQBLg3|
z6A-DCp`1Z4j)voow#-ZmG_Oa~mVp8U&@ALFrlv&jPo~kUx|JDP4~Mc&kgGW;G{h<J
zFbm@~v+hgO!6_P7{fy?pn`Us9{3>hBR1gI%*&-|RCTX8F_`;Kan!=4N;?vt({3sGy
zz<HT_l17%XE_|<O3Zz@+g7>9JD9kwaIhkXUh8H$ZK0RRqo6^&sk>Bv51zj@7!Sj=}
zyB9s~*EAZ#Ok<T-v^ozS?Y!|O(qoFIKfC?ix{xuXr0a(`^Kj!suAYpE=xN%(<%Znq
zU?WJl*K2-Jj}tRp>E_L+W@y~9yIv2xGlWC0GKDT@v7>f&?ZndcIa=t6*p*aGLvT6n
z#@}SdhH9_r4h07+&=~fOt5>HRKy#_emrEk7IAd!v>*~8iE89`ZW3#RgznM!p%#>O1
z9P5bL`AaJ_KEZ)1^P~FEUZ<L!5WtKY0?EP&&Hrd-_H?_`f9nBHN>QfWcczVh;Nkb%
z1nE#Yo4L}`Lk~3XpG_+aWkOf6zdLWa(c_DG-Jdp}b-_~S%^49RrVV~Qbv*Tu0grO4
zD-`Y0g*%B|F`@EIcz|V*QJ=(wh68g&KL6=J(SDuA0bM4%WBc!F>=kDG9{>RV{|uLR
zJk?zsfbG5axc269U3=yCb&Zf!C=?A+N<tJ~WfdvX5GpcCNJ$wX`5lt1GD}8QLbhy)
z*T3hVGd|~>=Xq#G(sq(OHNhv7Q*`Mx9on;T_}66#Mzn4BYRh0z0|cU3$1dY^h~eDx
z!;#HQXljM&Y($I(fSqw7(xpeNB;;*yhXs9AS!9S1(E#cc^&FcHdc+VoF_w0b4UOrO
zQ@zT`P|o_-hADvoSuR|>P<NRF)oT3HKY54@)mAH^DyJDyvBg*llQS2}>Ghea{ihBm
zvsm+tyqVDCR|bLD2yV2Tkz&?Vpblrh=Nw{>V@9zCKdIFb52|tyztwwK9lXVCdCOZ^
zkmQH5iYXyJ^xpO`qbHv_Eb0!_-qB`5cLkEua&GdY9-3&buX!X044jqHYhXvN=N%VK
zMFbHgNTNeXhXfaUC_5J;IFVW2m_u=c5E7p0JF?TQ1}!I=dY``LLRN*86UBE$5HC%_
zoJOn~tnOHmCMvlRS7zCzkq82kn5<>W-lqoAOW|DUy*%h$eMx0Tk~pI2%DNe)pa#A!
zduj){`H-QX@{HecNfgaU?c`2S1G%#pZLKFiD&~xhWloerH7g61ysB!jDHu3u)GmNd
zADNU0Z<a>aCuFvN98m*4wN5S>7a??C2!BQtmPPu$Vea;?)F3_%e@(X~j1K+N`8{z-
z4n5w_DCD3>g6@;qpM|PLQC<yQYt@)M>U)h$xLZk3bbeKekS2z-SNXRZjwqrkxBW-{
zvsZ_-Un6%_k|dC6k=RSV0VO0dNGDv?sSevSS-GuklIZdZld+e(3L5_@!ZsT~h9BiW
zt2};6p_i{oR&;$tWXYwT$Vk!vBHwN86I3!N{rTU*H&$v$C}WNDA*&{+M#WSc%gUlL
zyu##84hc=ir!zfZ(t_#n>9Ev&a%hooK04i39X)+kwjwOA4cUUd^oD`*sH%>(<i7=V
zG?1A<$Kt62-{!5Q#O^7eijxe{k_XA?a_`=Pv1(n|e9N=sk*|nu&rH@8r;t%q%ae~6
zNcvD$#HoI!Pzkw&x@DIZk`cF+=Ui^70cewS7Nzeiqph>ent4fN#M4Ag7jI?+c^xG~
zWDgY-Ray2d*_e#ZG@tOf_;nBTe5uhtxub&0W`$qADOX4Su}4xuk6`eS2^W$HB%&!Q
z61i-Vgd`b0rmuSg1o#@T{VXP;!_04KQn}TT_K)=sBu*3X9yoG8`z;Y!r%@|Gp9)%t
zWF!=1n}9KM)PKfTi70pMqsO4T66&lWG)an3Kq9l3R3Sh_bbjcr(HnWhMy{{P4yM3$
zy7t!w0V;@rkmIv4Cxb*HLyD^2P=L-MYJ59Y8L{>m+b63?p{OT^qGLNKaIdB>XZyAi
zitREU)%#08%7=S2;=3r|Ju|Zt=c$N}uU?jknG;0S*BbkM-cg`Vy6|d^paOFK+*8<Z
z!;7fS8)0b)6riT*N)axXL(yh29-sDeplg{c4zt!2D7<9<Zq`B;eLFkC*eJw^R1-MC
zY10G>0#`j)I;9a+>(R~DKUC<y$8~Ji9-Dwoo}o*ChZNGgk$G>eXbpF$W-jVBFaeJ@
z?Rp2sBv3`LUi1C0b9f_z&;^lB0Jk>3uXeIx=-^tI&2aY!zCYXjXx{EQOB&AmWL*_O
zbZk#v^EbBPXDa*4?k{7|wvGoevI_0KFOh$03#s_3D#KTtfI(%hXYsjr{784Jap8Lz
z!Xh5hB);Ek3}-j8k4vZVqJxc6`hKIW*z1`G`-d*>0psgkPNF&7sCw-4iGP<muzvq=
zpN;26AbnA;^~@VilzE<0;wF11_MBceE@sRS+LA8r84Y1W*(HxU8Y<hdrc?*<5*b6N
zu{A6_kj#vVY!9se_|bw*pi75tpEiKNoQCvkRE)^Qdn{?6Ks~0Uca4joL?8Uu2UQ9x
z=+KF0KSPRr%CHx`53*)y^dZr(rR45g8U!+5Mx2^lu#2JQ%7QL>kY!1qw7f=zW=EXF
zwbjaT=_Mwxf1?Xm{?(^*{ocl@bbRa&3^(AvhTg@U;MN6Yg7~Dn!xlbnBl0jNyaS&N
z5TB6<)`3p`!C-E}CeHBfyuD*q4{pgy{NnmU8;qFlRkE6{<MuZ>aG}m0xQlyx!nl<-
zkf|IUepavIALom77Z^ry$%3w&tST)4!6eB)Q7d?q&l&?k`4@gY<nncIk{0-ND_l5y
za~XH`cjhc`n#2ztwh9r+*MyH{#2U7)B|J%h_Jh)mY1}R*P9;ZH6Q=hE-K}z5!XM5S
zuzI%5;orNA(#M}_fM@8xfj*`sTz%-{4;KDKTv^ShyGv06wp3k%GUoo^$8Adgo@xJs
zCxnEwxfGM(Ot41fPwFMS#UtM4QpPe~9h>Zb%8(3}ZZs3Ru!KKzraGn&xr)0_2PZ8z
zsYBa`tGDX&mT;{pgMWDVI-XE7Nm$?IPC?hmeH-0noazdFXGiKLe)H4=)Hh0k!pUW7
z*|}xhMDeMV;kPZ^)jK-#86OF5ix0h3YF)waNN-H3?AgIhmS3>A*{VU^=27Rmj#d1$
zlr@9EZz|L!Kb23Hs0tnySJb<A)^J|CYyaJ`r9pmoT^Vb;h~V*2FsA;{2HucQXQJLl
zi-s$%94nV1g5{Wcb#VVCE<XC#z%hUx1^w9hAaY3snw?_DEfTlz5%UVg2fB>t>T%{*
z+TF@9$<4>i=f92T)s1@mlw(E=V~&cR`pUr1Pyh0fDHZDGV54;dRwVOnBUms`2}Tbr
z$C{s|MqhUJA3lGR9i3Xd7W-3738G>*s<mI!pmL}CoeT6_NZqYUDeSQ#+$k(f9uTBM
zVWeSqcTaBQ+ohmauA~Sd{_iwqv+2?KJbC+P!#wCItzL6BQUJoWmU{OCjL12~r7by<
z4`DM)kFR(sfR`EZi8qlMQH_NjV6_lH1%!QVZ2}6QBzdMkLX#Esxti2&Y6_u4j|4`&
zdgbBZ+vqb#&axxgYcEb5uoXe4e-4{@7s*5O9uED{9!^9~dOAIsOh6$wH@H31<e~py
z>DODv+=%Z>#``1e5~%89%J9*L@}N7DlbiaA2kDg;h6fEuBL0;9!sBn{LGI(9ejyV+
z6l)I7DK^qbZeDtlXGI=PkALfCS>Z>`PMR_PJu;|beC+Vkg9?yf6;`G9Sr9qfjJLlJ
zmqXtq)34KvDuA@1<6X%XVKiiXbMlCx0&-A(o@kPx2+QG4Y|Znch}c+J%*?HXlJ}I5
zg_4xO=g_AIcMZkS*DoCbESt(mYBAsYV~sMz(zkW29+X5s&7GfjE)bFK2io)>nnXx5
z{HvFcBZX*Bbz5i6s-c7Wn)laMRN+OXv*XCNGz$Mb%)@a(9qkeBp%r3Khtyw6(uaIx
zQPxSD;cMQz+?;=`Y-~&h3tyHj`9V3v>3HuNpOprR_4ilt%GH4Uv|&q47X>7+K6z4%
zTNAzS5i?yh)PfVfzRxGy717BX);<j-n#k>o(Qj!g9kAHnm`DU=#N|yAz96TCyf`kz
z`p@cue&4BK|8y0UE}hR3@1}*k_gkhiZt26ap-}L`u1|!kYOaM_YN0j*^Q+O4M&J-9
zvLwEsimc3>ZVOCkBLAa}6e=5I_@MEL!LD5mZU0)&_(0Y~S4Sk0J#+v#6wZ?({Ygl<
z@EaGdxV!$nRz4ZJCP4jPRfF><5^~C>3^#PBqon?0+)EM^AO-5NtbQgT4y`G9OMf+#
zd&jCVdYl51m!^l>B1uSt{-)699%a<2-SE@)swoUwUt;ANRzuk*eHR+36j0J$jB#Pv
z6tYgl-!Ge2MXT2(Z-w#6pkuYhWji`%z*&E7%XpXj@ngyJJ3-=TIq_f<wT&5EzfpN)
z8&uF=boSJ7WkHl0{rUB}t{JqnZtc@}poAJCbsuS8;X-Ef=Z_UpnSofiR2<W11tfIw
zkIfAQdZg1r(>VIV6l(WrcfR~BhlYzQb^@1H@R0iLhq0!nAXR#(@Y-J))Xh2PXkXif
zuT`cyh__I{eDtzk8oM-V8t-@?S~G$@->O%3v!cLNXN5HbB}p`v<Yv&1mN0wCdjX?$
zCQws5rP*CbK;6pLcMaLMu=b)O4t9nnz;-XG=&^<{8s%7Czsf@mZee68y)uB*+!~>e
zbNnbTT=UsMEn4V({M_=yZboF-dmlFV#e<G}s>GapKnDxlhL7t{VbD2qYTsEQE>xQT
zj(GD7J#cUwvPuau29>J@HRrimQOI<Nh+hjma0{Q?czSaWNU~qO)Z)W{sw1}U9Pgut
zhg2#ngD;H0T(Y5nU7H4trMofa71P63(Awx&k0GS)b#1fg-NM`0zZ;LApa(UlQzb+;
zLl7Pfs3_!K#i@7=PS#M<1L@Q?1`#U*kdi*m6HT*#^OWz@A9+XzCo1graoo}ey6A_e
z>a~91*><a!*>&ll{D*jPV4ogrsJ@@Ik?6rMEQ-*eAzBCttSWe~st2-b*)^0$Z}Ap2
zv4`OgX<;BSE-W}s7Yqok&%V%pz|=#<T$|6*LJo~ztNMfvtja3W#Jl!jlou0{42NhT
zcUns>#YP8cj*6E?%#L7+k&YXM9<=a}TDR8itu}n2nfsLScmjL2scn*cl@?6s+%-%T
zv;lQ-M5gr4V8R^^HuBB1(AAZ^BbcrQqW5h>*7_DO+x}Y%QR;M15JU8-;Maoq#wwHN
zvP)QAQM6Zf1sxPpyLr<mYeLvL*O+0)6^z6z`aH;!9<m&Ie@zK!0@vjZr_O*i?D}d{
z>Kd5=emgijyFb<dj>mthnd3IF>@WVOOywA%$%@wBRapas)|9cZM}M)zrNO)D#!OIR
z6z4crMFwlmjVo#8|FD<tf0HgpFoOV}S|6(e8B)SUd;^Adux6?F*~h<Gz{uLhVB)tr
zWOAQ2KgK}~2i%T|{ky^j@oBZwsn^wkK;evvHlP8DwK!qGgaaN2(tfihs)M>@);;S>
zw7_V|8Q~?u1#<@nk}o_b!ND13sqdfYz&br5%SM$O*6mU<-55!bM58LTm&CB!Nsi5$
zhk2lPBRT%xc{Mn7>Du-3Vn(38Y4N2YmlpzVwbp3=QiZ@66mM(K47Xk+ueWmW!&=QE
zf%&v5ED;h_Fb-Bw3Zg2NOcQ{%?PpQN8$=Lk)9GzlU;}l9MYUX0A#fSGC7t<*2npwO
z!eEmFoN*RyJzfz=qEgDfVNV2$0x;f4;R27I0h3H70t{DjS6mPz0^PIotm&V)!Hjx1
z(@#zuoE(`<UahFWd?s=3B^NJ@O}IP?(w2mY(N2Z=85K~VWSM=uzy})~H)^MSrQklt
z-)w6tB2-z+4j=i$53964Ig~4<VKX`MjoB_o#-340en=FAXEce@4Z^a(VsSpTEuIMX
zOKbnq?iGg1{FTX-iE{At{1?N0Ose1+L#O&#TofEOD@rwa6<|Qkj2K>`3KDZB)%*Cx
zpu+9Ko0EBppnmtv@TJ>o;4jkYOQS3S2}#!1tSpovz^FMY`Y8#f-%W(JzLW%~4O$QH
zDHV7+#XjR3rVhirS`M9EQjp`#btN@H70PVr1GP-aaH+aZREJ&$>=wpm24qNJ7Of>;
zthRd(t(Fv=F<FSNPBzavpbn=Xq0Yrv6IPZY-xXYugUp$Vm^o@Pl<0lhE)UcKv7uXi
zB{jRgkl&_zGmQ+zIgas6E!yy!`Cie?h63b#m{z>Op#cxpw4z7MbfHppHMm(x2_k8Q
zSw0@tfQNTig}?RdfqHSheE;r#evLhuKOLe0_2P<Wjp7Y}+`ldP*HQ&S=R`I0-8En`
zbva*nw>L%fgf^cm5TV*>@Juv=22@;L4Y#E>hQ35Wub4g}SY7h_6z@+4A%m~7%%vFg
zE+)K3uBs68lDu{`T^-8GWe;2D?e^yAukXE&RYB<3m%GVgBuEIA4|{&x1j_m2L%DKQ
zp(!l(sNZ8ET&Gs^-k_nthoR(@2_IFc<hLUEbtnNvq*Kx;mICLKy4QVYiLkW%_SeUD
zdH8ii&QW-h0>8BL?pSH;dZ_K%zc&>!@UkUvkFdfn2L<HEllQ2=v^ARrRjwrPw9_1Y
zzRR8W>HlT|1e9T!eZV!sT@+p)XA+&oOyN)aInApd6``ht`I6*Ueo%Q|{Mk{$6rz&l
zY4$rQK(l|er*Rt>n6W&HQ`zNj>!{F&tX4S~c((N9$$KU^wGIW+4=5n5PWxn0R~Aa`
zaxVD_QG>DZjod*a3e*JKeP+m%2HqHAj{4yhY=!hNwD7A5q;~#0{eW2tM$XtpyH)(c
zj*ahku{>o0uQHru4sMBqjXCvAoUa~Z(hl}*TLzGAE%uzICBU}!aQ<`uHryt3Lc1gq
zVD_7<^e?h7+}h9n>Zacao^$<lTQeI#mgIp~KW_?vT2P7Dkk%x=Z5E#JSqp>qExKzV
z{Cr@ocy!0Na0YMMZ`9uDWDHcN^@}dFbAwNE%dHot^SD~A(2w_FdqAT-;Es0~Cv<VL
z7qF5S@Wg1gSMqsA@H1WR)KD2KT&H^2UZJ*t7q$K<vFbB~_sJ)@X&ji~`N48Ou84VD
zN>R>Dj?WNQYR~BDnbAYCN=s8U?HtbgI_c$YCj+o{X8pvLNCN}>yu5RS8QjDN`@Qdx
zK3u*V))OU51&qi>Na@dS{HrhsvrX!O%N_KukZB8Z&HX9mnKOYiHQgGCHqZlJ#mT^6
zn{_O;2ak6$|Ail2`Onkyt}bN0((n7rxPk>6D;<0_Gm76?-r+hquLFn9NUu7O{$R!<
zS6#Johw;7S3?B3SI`EIGbj8kZ9@7qxh_s#`z(cy0svCB>HuN<rZcu3&Yp*kTuh{h+
zzxeM_K#8<A)F;JXX}LUs9dCNJqPW$KYcutz^xe^d*IDUS1}<Y5&#5C@DZU-}bMcNb
z4tgzce>rQhkw1blzYn3j+}n!({r+lNDO?k->sXzetsBG$=|+JL#tk@CP9lYIO#|dc
z3?n>#_hBg<^L`1X2seysXO0clfEl|JqiRJxnE%eujack0e*Kc_cH9~nmTfcK>Hc+N
zCdWc)`P&Qe10B9Bi{ZOm6L#QWt?$IHD1P80$lb?@Wx_Mh=*bYm7`LZpsU2Hydp&Jf
zeho_rG5vk}jyin%z@p~$?+ezwdRXYV*Hg@9iTQr2<nH)%AtU~#6=Q$)-8rA~8Vg%B
zG_g8Kg6}6RxW<>7F_yHfAxr8Cth<8woOzNOAR4N3#>GvTBVWAHh1eP_m*QT%S)&TH
z_c93My^UDww#(vJP#t!WEx6TWnFxGqslBI9Hex{?jwTY>A2A9pmA|Y;ga?L`DwnMq
zvHK*)Ai=IijD<Vu)tsLS*x$xunyxfrmYQv)4g9TGpv1#iwo+wK{n^6zdZ!WV9Ay?}
z4r;^Nk3L~0ZYx2-zgv8YjZK)Z%D<r_;T@PcMaY6^s{{uQQ7_&4+Kip(df0pVP#3m@
z@rTT2DMHW(TB&6DRxHzJBC+1#E0)IomUaK`|7+x~u_^lQGe%cKYq7_#2XmAT$<g2K
ztRhK9KegmGOxWK|Zmg^q8)>K|+}!Oo$)tXUmELyj^+d#XDYXIYTda7#vY0%GaxDqg
zaCBn%Q;}XRKL)X5<nqq#SUE__-?Mz{Oc!R9uO~(rAI5acHlNNf%fi0EsCJfxZtMx$
z;NXkMQ7qNAv~Jv67M_sYQap0LVL3)Y22+$V%tB`_xotoOvaC3yEUtaWXuT+R6UpP4
z$Jx9qsRw1CaXY_&H=_@04fA7f*guJ#Ig>4})-4U`xr*MEa|0L(OANOxn8KO{b+WHH
zOT$V@wfEPEAxz8edG0aeS&WUgTkc+;6tq}}jT}`O!3@60anrCZV5VD9M)sakz;iq^
z)%N`;7N_HPdFk;Y*4MNhSw1fb<!MoDrJ-Zk=!6!()sZFaY^j7>bA%+!sT|c|KRJ$_
zKl)s_#&QL-s%!dnhgT9ZAHNlFy*i0ydGB4m<FkfsZg}bH9F&0K)SwuZA5$3l7sH2?
z`VGvozu$X3K^#0fb)w$|&te0=U3pB7ZDB4&=2g#I#2`GzSvE|00rP3<#VbsAFgtcv
zJeNldd`8XJO=}mi|A;~%!G_eJc~jZ@=m`QS$jU55#Vlb{rdGjr)U<HOHrYGiohZor
zABkNGUcsEqzSLvubU-<iCY-(N8TS?PY6ddaFn%lJW7)f&IU>q0^gBTW${ezKc&Ilq
zrTxLWPD#wb_>`UM8lwovx-~m8Kik62nW0zBhHUU7<89YYk}%ZKy4wuh+rf?zYP>i#
zIHCW}dWgB=uHVq6o9OsZgYAw{#F!B`9JXOve%mPo3PFT=d2L!aI<omLot+mr<&#;g
z?h3)Zrx!LaYS4qPwz}mbPJUn~<gq+BBLpHg359#T86i+tRz6{`AXHZqgG7%BL3+8y
z8M$xFKrLZfXj3H&S@}j<ln@~>NC@+xzs?4!L&e`Zd<mdLs9ShdDFof2-dBvGIpGM)
zWqE2Z2{1di9UedwhKccWv*jnb!7bD}-SB`EOjomh+tViuUwc|*bhUZGYe`K>R9FT=
zaB_Rq7ZJ!|ztzjC$q(JBb6p}#a_};y<xQO+0o-d}OvjuM1c$rcx5gwCz_q<v<mpE-
zcxLC{l-(c<gJ;bgW{xTWi`?IR`==!U-@H)Qf1CjAt{J}bA5~y|@Dx$kUJBIqDoi(M
zO8{9u?TeGG8cftbXS(-S8t83xT%4q&pi9reUiXqZOy&G{x|2~32Fbi47e7ct$_u5{
zjxS_rX46TCi&6k{n%>KMB4nXI);!WmP7{`?1h0$)D+A-@6IZt#<RMA-UVrX+EijTP
zt#DmX1*VHbQ}mjO5MT2_V=7Y{<e5kXep~8L&@m;hE2a$3JwJI!=IX$&w}LU1mYPsk
zm1T+Oh+yflPp0>*E=1OCN!Rvj!`bWeqg(x|(6)Dg%63Q>WJj*n#y`^o@`K;<Pw$f8
z%7Kh({b^k&(^-{u$TWnK8v#?Ko9gh_>vUt_6<x@B`ZGh~r7_sq=MK*)kwKjOu-Rau
z4(NwC&Ok4KA6~SNm`;YY{S(9kg4&?1M0nI>K>?4dY=x>`GK?hjHQbTWgei5iq^d+y
zz-d*_Cl8Q;hOzHtQG+_f<rk|Scx(n$KVAmB$|l3!1IHt3jEFGU=0l(7YYzL`dOrv3
z&YKf~e5TUnf!S+k(DIKt+>ZEWR=s=f1+OeqoYy6xFqW!xTFnBY_<n7#$&+Ae%Q>w|
zP7wCovn^j!uz<vPPCuMg6{26OCUwWNzy+JCYibkbFvn$=R{lmAkgkABm+K#_ID*l>
zGsGM|UVYQ=NLB=*FpEV4$2jhFPkg%Rw;9xx?xC4^BnNj5TjI(isL}G~=`l$QGayW;
zHHOj2fY;H)&vA1sXngjFF?X6NWDj-!nG2N!ip9)NR#t8_<NdiLWr6~MC`acTCjkVd
zt;TzDd6Da{qLFh36d)DEg}y&02wU+cha`gdk;i!9qeICi5EyJ_P%Oj?Umf@RV_5=d
zM~6iyd<`HS%4ol+a=;@>#=L=pAab=<kLdCO5H1=1vhOPcWIWtUc>h!o4Vl>4FjZo^
z9aQLGCQk(l@)~?A6@qBByZnPkwJ|Kb8TK>KUdEPKZ!|9C2qGP+SNexK_dw{-x}Vw8
zQB2=e-d;CI5KRyisSa-#0hK7<PJ4ekF6WyT9%3MfWL#%68%RcQcl^4GqR%MqZNks4
zPbG+&Pends4Kjqj@s0P9tc!S2PG6qiX94uBKlJj4dIMN~!TTegXB~H(n0~^LFMw$M
zL?tRD4d9Ydj&GpnHtx(h({nIc0Hwt}b{LP<hdZq4Rw1l3DAKH8JM_K)`dko87rv?o
zUc#Dkq#Qa_rt(So;Y$JZsdl}z+fNS?>I+YPq+&!4_A=`#g92zSPH`e=UKb86c55CW
zGo!sSTH6FgLB!6vcAq{(7p@2GXA;@NisH|YzFE5|h|W^pEZQ^a!ts>#hj)qWC?ME9
zX`5LHS+{k*(9hBVX}5Df&oFYLEFQXfEJp}MB->2YVmff+-kVzMGh8UYw58*TlQ245
zQ`@pVt_?LiujG|&xsjW?sL!&b2zsAkcUv??8(v=ZT#zF1pi!cu#3+L(x|AMCJY=g4
zzA0wrB|N<7TP6KtS_T553~^z!?Aq{P`s9efCNFxq$gb5XCWcgO6DcuYwP5QS{V+`M
zp*OO*qdB(XsJ%k0cVC_sOk3=C`Pt8pj`ynVO;46Uy)^c0qtRMW_M<8De6IlN>VNsE
zJ46!YuJj%3JFT_bub%7zBZ5fd`ha5@SqgP&Wm@&PYQfS`Evfn?AynAavB<S7g}jJY
zQ{xV5!SB`RZAl&xG+FiFeOrw*`d;B<_vEM+6x`0%xNanh-VEB7-M=k^vX}|m6Tw;_
zk+#@HbAf=^-T#BPr)1G$o#;*8hguNWxFCX+iJ{xMYa^-@IW(daaP~*57R3D6E{&y;
zKy>B(1Bqht2n$u_nd8ug{{a91|Njh^cQ}=A7{`t5b#Ux;tb>DaILEPXTSKK`|D>g8
zQAC*~RFo7#W@KknN}+QLiR{V>MQKT;frNhN-}id1>wVt)dEW2m`!Tb1mK)U};RfAD
z&sXNjIFz*azZbqV5UlDarH+xX?_qs~!7~k<E@Pixd`ttU-l(*l$;znMUv3tVu8A2N
z(;g<%=<uwqK>VGp3Vyx$JUV>47FKb+x{y#$hbJ?M1<{KtSTnU*_7xii$E28&CpQ=a
zBd@&AzCsl}TN<9!r&Cbw`Cv`jtTFV;?CN3nR6|i6_Z4MPZTwl-cJ5jZ1KfoTjm<gK
z(eP%er2t((qQAjGZRFy#7p?O!fv4;E_S+Yz<CCdgPp5os^qiK-&Qvmm%6z?UJ0mjw
zdBS^cTctMU_&IFc_r(-ezCAwfTu;XHt?9c&leF=$k^6>wjb>o&ED;n+(ZG(Y;rgBy
z+IaAWer{uuIaI_)?psOFz<XX!Q9GFw>?2=e_i(p>vabc_yn8fo^@Z~KF)<1z{BE4J
zm$QWTpDJh}e>L!Yu5JEWQ!Tu9i|X&xZwaM8FP$tC(nNWuovYhTG;y_O%h$aptiWZv
z|MEPiCVF17>*|uwK((svJ?A+AhzZ0_z6lKs3%vGj>!3Q8EB>-I27t>GUYriu8n~VK
zS0eF@8ulHFucQP54DLI(z1>O!({dv|rK_l-hd|%f<|_a^Ct5^ZJIUz!tesr^NEsU@
zMbn;^0K|K~nBHnhMiuuNu_PZ7#zo#u39AN>SohzjtXy?`PFwVUBBqE#Wx9*|%K>hO
z|IGILs)iT#|EsxpK@R0_z34iX3GhynmPj^GL#pe4+cvJ1!3)GIn|mSwBKCMV`Ua??
zQpfkw-CR<b+`o%a<PH$6_EGUtjta(CuUIq^B~UTRUVpPT0GIR;Th1P3G%&UvTlEpg
zvsb1^ZNFN<@?YU|FIP#Z$n3Ft@lF)C?Nv@{Ib{V{w^^&3N<v3{IW60p1T=cK$Z=}b
z5^hYY2-giOV%AIj2sv{RyvbM>eLmb0{xnr&s(2}&1$S+XY=#iVWR-Bd_-O$XDqRs<
zzRTgig~=s;H$j|cMENZpumJy*ZDD`1WbtInR@;$40sNT1Q+?-{IRsx_k*5A9gLkyT
z7B-CY;|7a;S=yV;A=T@=;7Nuw-eKzO+?mRcu6M&rT_2l4_n)G&4qYiE^-pJ>yTp$S
zdgJd3x*2FS2>4c8Na9ap`K-6C{J7_QiSqMGQ|Q~lE$neX0)^AXk8U;)Kx$`NimSRQ
zm|S;=sJKPM7S&UGB6<Xnyi}Z7mTv+N9`!|R6(VBoiTy_3t_kAcoZKf}B@;-H@%QSB
z7smtp879l;g>e7qH)BQt1Ag8N2}zU@N5RQ6BaH>Z`0(Lo8=?jSg6afjM_R?O>fmWA
z`?v_Y<$odb)*3@|zfz3AIWau<g7=nE4gq)Z4}hDMF|hv|$_m;oh9!~Nh2SlUJ(tJQ
z>;~vSAyZrTZ4<*!FKl?rw8b!C`^Gt903F(s+Y>f<is9&D^6?!4;<!K}G6_6%cv&C+
z@5Tu+EGFA7AN?ziQGYld#Ff#&?o5TkY>5~itO~v6uuMcLP0`~|U1;zsqGh0SRty&+
zN;X>yOJdds`92yO4RX~R)W154<4Pt&YuG>v1=#KO8r2!WTTTmS`Fr9R>{SzaZof2U
z+_>9D3o?R{>0<-h3?h<S-z9cb%ixnJwWs%ujNr6ZPZN6&5jQPX{QSo+hrM<)nf7c(
zaR2Vw_KTqsc(_os_vlG^w7K4YC+vkGv`Ni`w;4&|8^3v3-M<R>*0wk9Ppu*RTHWNB
z%ewdZc6Z7Amz8ic3bsUN8bai)T6^x#QuwZw@Ui(i31tIMk_QqEVL4Cu>8nX;^h*A7
zcSo2qUTCw4ZaZ%Xw0D9>-+qz7;J`jjp8r&kKG4@;nraAd0;f6}S^H~?e(|8&NfjkS
zyhY?I4MC1eDCniBJidK1QfzCgh8zA{Zgd+kgbaVnQqKqlJkf)9uj#2{vJz2Yl*b6h
z4c63X^(dlFFk3)0nT&I*in(W<je!4|Y0^$95`N|~8KcN+pf2syb(JC`5V88&E!IOq
z+QLwb87t3@8AJtp3DN*{F5LWaUKuw|9~of&*2MPb^&bo3X|Sn|DSB$13Q~Bk{iOA4
zp_$Xd97&uGPdzG{Uhu18qkYNkYgrWBKk=oexRwsn36dPIo~hzjZIK<vHfrO?G|A9Q
zyNtm<_KBhB1vRvsS+EqG)J9+3n$s1^42U!G*jizujxXK5v}SJA!HWS;66oI<u$vUC
zoc=={yAMyQoW8DuJn4_>vC{;!ZzRRXr<3s*U-j*ZdpcMjtU%DKG6jF{fg%xY4b(T!
z)qInug9(3M^<lahT>lV#gIUS?e$lrIO51hNa0k~x)fjVNlg$PjX-zySUbMK_uZ^OX
z+h<evSwNRcMn*z_CI*Lgy&jO!#zN1=lSCU!=&Rt0_>!-Q=BIWZA*`j~x83tPxdbbC
z*dXJy>wzYAo%1c15!b?|vhSmZyR2X?SEnTLwkC>h5b$U8viQqZr_1_%VPn(G;Oj(9
z+&VMh?i@hIRsLDcZdTqt9PTQqve(4wb=9%EXVvgIDRwC6E{h`p4H4u?4IIq7OCs-9
zMbkCg-MU@@=&9AuIrwT|anHVYUIWTV*Jp1l{0X3uOtF31M#i%`=YDK+Bw?9#%W0cs
zfKs(5gNsDg+z#zt`E*4AgU(fZ`ppBV`P%BHx~L;}TQ*laQx=mxii%R+0#w}gnMsdU
z!+tfX4e2Cl-1>vGVWtIugS+aYc%do=g$(efHAx_ci_n~27J!&%{d0a)!Op6hm8I+A
zSh5w)Ufd60aaLM+{irfp`#AJkJ`zP<El=xIU4Wze`6({HNx0MgSI#Ll0=^6j7LR&m
z1yy%W?Xn`0kiyUP;c=!A?oCL`>)UDti7(c4q#Reo(^Zm<fd>R|ST5Twp~Vv7-JSIJ
z_Q_+9#udLSm3+8Ekezu?&k}43v>z1M$YImfvyGR%d6DB}RGV_91+=aEvR18I22WY?
z{<r-I58jVvCt0yuK!J$Voi)d#G00(ZZTAp2-u~QdY3*+gUJ+p&wNxqOJXfLUp3IE_
zW5S6_17^U(_T?D|K@!(j<d<<LaU=PN&upH#8Dx9)U2)@=z{f%J!(DCMXj>dIyR*y`
zUU>>ElqeIiYw1>Y7L5nLtqI~Bmo^3SrqruBJ6JjYG{t1!OCF>(sl5+RG=X;$2fh~H
z6vJwT)AMTiyqL9Xy5kbN3GA?9=<|t+;bv?5#Lg5xY|*jE_6%o$M`dBcw{%hblVzx?
zSHh2+2YKD){uo2daKCvNT@-BvGD++c0;m&MoXQh!3^v&rmziG)SjYL?tlCHjT{+u>
zx3L=o`TDlYA0H8L^DQ=oZRNtqzuYfnm_!Fx#adytVgfEn1`{_a5iltA@U1a9IuwqL
z{;Vq`;N!qO$Hx~5*vM|{aG{0<C(2Ob&piSrPbj32r$jMoJUA?TJq=b3R$6zxCSa%4
zWv`pB#L##A#;5sDMzC8t-zZvM6r~*5_WhX_M}vy_XB(1@pgQ8-tG|au@#pKc@nh@~
zD3_Gz_T1D6^7g8H$bK%0)?<8*GWwFpz5A&Bk1vLh`Q&s5IE!J*na1XrASrz4@9ZpF
zYzWMlj@hwMF+82!QTqCcG)joBzwyk^kd*`f5>7>kBi&}d$Pay4v_pTtbUj136z6(^
zN+qI>AYams8ae#k^N>rP-4LQ>)a5l<Jkv~m=XBCu0SVm1J%lkTa7E2Y#g0ngtKh%s
ziQg4bw%q!@X)_ff2WPAHcS~a3dxI^v-C4P-@L(~dmI|q;)H3@*3g-)le%-TG#uKhi
zX*IW~P?!^}Avq_FqO!@REesV@+W(3%bB_v{@53}6Da+#5BI}Mhx+?Y+&TgdlP+<$Z
zvvP``99|1K|KEbS8uoms>$>%e3Suf+DvOWgQK{^631OW&PIsg)AJaC3B6Y>9JQPJ-
zCq)_g=1#^p7k^$TJkFY%{WHCT#Y(u}HE6ZmUjutiH554a7{Zs0<ei$CERIn0x++68
zQHNL`<7>`3FO@BtW&4zohs%YdJW30PCp3IB9~r?eKA~KFV-<{*^HRw@Nx`j$%nA<e
zpuzazH+Mz^R55Bmt88GmHj*x0Y?@)C1C^a8!E;g-i;BzPm!S^UXfghlA|32LN;R|9
zsbLP~jk(Et9qfM?cr)v&G0>tqzTS>iNB((W%RZ)y1fL^bY+(#I{$j#uaUB_H1}^(4
z1G<>n^WnMkL6%?KnRen`qk+pL7dHP@UG!US6jBN>g%sk`)u~$=c=EJHdE1;Wirv{w
zGz~O^kcyQ<$80rm`0vIf(NbMh%M0ba5oQj)hUzAFQ4`ln&^zW8b@7V()*DTc7EqJs
z)Bj0X3u9dCZh5)t;M>~Nrj(Pc{E1ARdA3IjvzS)9ineHD+rJ~Rf__$Tuv);VDOL-O
z7e1`CvAn~@V~ndx5kPu0%zGhP3%9y<H>wnABFF8-R#g@kq_!G2-g48z_P9NSwZa<s
zE2r}!bOA^@wgo8*XrZ)}?9gj3b$kZ-wB!8NaQw`9|Dx-f*qgB!&6TN&Q`$O;FX-0r
zFZD_81p!SYgN#L7zcSu9+~!Mhv4%a?8SDZ+8Ys1|cd?W}!Xm}Jd#60CAx|gAUi=yv
zD}=&d@;1xkOwM=qMb`R5>8<MG4eIzORML+3stmrU3x7RiY7H+q{u;LSsG-`Ff~k9v
zBtCN{_?b&u!(GSE#Giwz_~;w?D*viD=83Rp@xKS?Ylx?98dkyn@U$7fo1&PP(BMj~
z1c*hKLGvMHG|9VgvX~))1AC_&QUd^vfBn7493tWKzplJ(EduDUYeU^v6#${+CXt4R
zN_c3p*z)5vFM_?q=^M9L{7r18QU(>!-QT#kD2*F0d^xsXSHub?#rs4ba?2yP&~}4!
z?Q8JRkaBtZAxqfu%;(a^EwZ?6>L)?$C?_ia&MVpW)B>hm{I+-2Nn`Jv%}iu82l8#{
zRB%<bfXIIrOw3HAu;P62eeW;q$dxE&$q{W1TNsbePQ8-Am3>JC9OdjR-oDOu7&C*j
z-ut_~bBXvTJ722z7CVmJ-P<=}#_|a7_KKz$aSV87<mmd99j)&5aXRFhLX}?je8m|t
zl!)k?KemShZFC(KesY?^?Dd5D@Iq0nvRD7-z|Dyg?J=%;hfN^QM17C_6af_qW6SmW
zIkAoJ^fvk^12z*s@h@2rSo!(R>^5@^<_7eP(Kj&Q<)+AOp8`biX`A2sJw03~bmQ1j
zH#CMm9TzdtWMLGXHY(~};>M23SHllXjG;BhSVH!_5cb+O-t@BNMG^jCv8elWu+8aI
z?l~-kfr8x8dL?{Fyf$&E)r1a;(ojTF6GB^pUz;3R00)eHWNMHGVGG-DoA3x>`BA+S
zu_%ZsHj<(HH`2i5z~vv25<=K2kZkH0DvWWlO2d-lMgXrmUte_=!frQyqY-rip8s1y
zpF3s*b<sQe{HlcTkiFx>yGo*1WE+3mK-dTjsO1ux#=@BSHU5DPMGWtW+?bcIHiUi4
zt09{{2&3J8b^h%R;&^g@N-c-0A^fF()k%FMg8K$$+gw73*f|rXVZ~_(4HL6%Cw&O`
z_LI<nd%XlQ6~4bVzfT3T0}F~Sa|EnfpO~3TkisJ&!beXWqr%xO`pH}wq8ROVG;T|@
zG$v!z_AnY1<V(Tg?N%{7Q~L2v0+%e_7FKva#YTk>ghFd46>$uk+qu`YNDc=B+Kmpq
zG=Lhl|9Wz{iMUI{BaY&&fKzD({gZbLV17-Im@AtE*3fLb`gE0W`m*^3N{#^}9o?Kg
zA|i>uLN`nnB$4n&v>e0XiUAxc8Jmx%Nuf{KoU%}|GLH8tpW2dY0Hk&?MnRA?HY8Za
z7qL7(I^<AbWRU^<S2D-2X_di+EtT1k_f;{@K{rRb)d2kb|Iyd!$|3jBMK;4%YWQ>h
zEF<QZ0noYb-f^guN7Ij~PF>t&?0cyotY}OH{UZGf`#=%DPye1MGS)!8&Y(H(i&W^(
z$v@=sQ3->?57}*F_3Od-eZpCbRM==eR4mj_!m001My_OOA$|Ls0MS#1(D&cyj!SjQ
z7@_81V%S1K`l_H}o0t)(+>*aBo2P<39Jkp-C$y1Pb&|BR#R#r77St|WRK>Ya(?{~}
zbnxJ>4OHPI8ZZJ|UN1zbVIV`!D5P5#*Z+&9?mR??)1fu?cl_0{YMq97R?1qG%-OL^
zVvjKxL%@Rn7Ba5;k-WY^Ll4#dz1_-ngaKYFRvME!8pu|4znz?*hYO!H^B2yWK)(F(
zwP8yd_($VH=Rk=bUUr`G&b)03Y=N<_*WJ~`6F;KguAI@s*x88Om?<-`a^4>7xkC#}
zgMYjj64yiZC|cZlaSQ0*Y4NUaSPMC85>`m=Ytb^f`PWMeOHeJ5&tRBR@O4$NX89If
z6khZW%<{AXSYwj<B!q$obF?6rT?Z>SjeO)c0LUoTxpn;<1^1CQq{kkk;M*{5x58oo
zKh5}p<v<F?B}DC=xy9n!(>3*C0@kpUS-RyU%V(A-nMni4@)57U&fMPC@F?rStCeOg
zl$pLc+VVgRMc5gt>>1YJk`ylaOjiqaImV_2OH}Z-OH%rwN7fKy{rb6Uh$epg<jbgJ
z^@W4GdCji&T7&YH@d~LN4gBrleNM<k0eMy`xXyK1LsxHwiA^~fMPm-m(?Vr%G$pcV
z^`14*v+hep-%v-fyeILt|0M9+FzvKliZ$$e%=bAzQ4Pgz|C-%3E`~~Z-V~evtRW(2
zvDx>aDn4Ad(sV<bfMv~NqaPHk;riZ3htwTau;av`Vxj#4_;2x|=#iH!AGsb1!>Y>I
zFZY5J=fQ*e-*PED@c^A44P~Elk#O6Uk~(9yHCVSbmVA>n&)=HU5r&frXjiLPcX1Ot
z`UNzzy}e@v<tD9H5_;s2{_L{T!+=$0N?2NG2AdUlu+5Ze49g%}uVvgxr@zd>G<BW)
z4VJJtl~)<eE{#J<gej85AEswWSkIkw3%HQg@v?5CBt~h)9?7p+VDA0wNLGDo4p-ls
z30gJ~QONVtHkFlmrazs%^u2*OG_dLYzTzy7dbOE@cVEvliysZj*2bE_<M5!3S2@M-
zYCu}t4On3Q=t8f5!=})dy6aQc7y+Ffemh?jSY+z{H0x2Pn!;Avn^A{q5!BIn>hGiX
zhk0AY;(%AO3ADd%)PBs$`KIB+!!o%`%wCbDn8z$1KO^-*@V>VoD!tF{&fmDqjONWL
zJL<{+>9l2gE@1)eDw4@QNL^*_Qoi{12#X`#1fihl1wQQav&_s_V?$Dz-MRL)#-P*Y
zcb!|34}YF5)ChB6NB^E_z32iu)H8mu<@@nseJh-gkK{my%D9p1(sVG`vQ!=So(Jh}
z#-^SfoR~uSmZY9agV@-T3F=iIjCzx-txe&=x8EjjXb@=-)3s80D1ZlNMfJ5>^0_gL
z%XO$W!wB>!^-GSd=Z;|sq5f-mQT68@>k(xmpfvit)k)#O4mUZU{ug{$nxyRTfW?a(
zJ9qElaULwIi!c#L7eLL1kLkfSh9Dm8?&-am7Y`2mUk?oyLS@x4NBSrg%5;*u6<Pgb
z-HFHF8jgwJorXSM!%!-GzkH)=D3=eb?bh&&br6uG*mAC1h6?1cM(axv{5Y~&#bY@u
zioyZA`9C!qfR@dL{In<m^cdefq^K^A1jfC!>jDkH+@m_-+)Y8;@srPhe4L0`^;&;u
z>IU#Ie)nd(A3|6=l3c((B7sDgze2i``q0qsJUO*b1Qkd5$GqI7&`+jUv$;qg#`he(
zGZI6<B2F0U{~?VT96_zwf%>o|)U_;Qk0@5IUCT9HCX0^w3h&R_>w~{Uaq+U37$zQ#
zpZpXhkMH9we|xFvgWU;^2jc<a$WQ;iI(JMF4|ZmUs|oAF0i#?Ai4-ETef+$`-Ij!8
zj^+%`HTqD$Y!-B^R|0*8?iJ|#r;Kmr%g1bZ^ubzSu(ygVg+$|SjfQv?98QQ;c9GGC
zTtbVB_cdu8ySes&H&YeCRbiyrjP>4s4Y30(4~h(;R=?&_$1ABBvg=v<zj=|=BKbrP
zZ)MOP2e7=RlXLIohxPhUy1vg3V-+yz!$vpPyBc`t=MA&pk_Hg+nR0E|LkW4T99wxM
zwQy0h@%4BTi>J{iM7#<~=$de8YkwF84g6_iw(?Y%GIZpgDOAQQk@mCggWA|J?d00}
zgbER%cD^H(Dp-3~&-b3DE?RHR{91U?5Ni0N*n1jOk<@MWL)33AN*uKNofpKqhZ)4*
z9o=f!7d#g$6sLzpemRW#V>B@EebguWn&oNaxHvxxeeAZ6r~gW(gThubvg-_sN8Qdl
zCUf*L<WyvaX1g&6A=??>Sq%)bY)(*^(8q&}Jr=D*6G$0IV39`?x252dq(yzamRx64
zb=(xz=_>f7HE7{Q0@2Cmqdso(J8Ww;ZU!IxmTQf|DY&ckaL96*KAM^dEc>prfGbbZ
zj3uPCvElHd$T>58q&s)-9;vbfQ%j*4uOybgiS%bin(Co3F<pL&9pJ`NGzZ6XZBz{D
zbO|ohMURP%!7_OO8;T4aX&<#QxR+t{r9m4b!WXXwQLG{8#n(;c9oo3uvo2cqiWd5I
z4(2T7S;ITV)5|YUXruOP8RH37e{ep2;c3gVHBjVMKXJ@aF!B^6-a<9pA`-+yu(E;p
zhLvlMW)v*qvexSY6)XuiAM^LKf#ODC;Vqt8_(uK~<9WIgUZu}xq#n0{{-+!i!gdy?
z2o|C*r(}_PNb$nX12*v4+=<gyPXpgk3qqD-B=K&ir_EkR8z?wqX^`?$9ZTuK&W>?n
z_;;K3=>~BdunN*1<tbIedl|>4{1=6=V!XHMPM<ZjIegA|vrQG{-ST(V4)UN`?V5>{
z)7Bto$01g>qKxasRPkvM2kv(9mD{Do@+SSr`??h*G$n*}VC^z9>P%Ml^G*P<#`*{K
zj}>t!+mD;p_M54iR+mUU05E>Xc=s_Uc`OLX;Q8bEow?gky3Lal-~`n{zHL?p!y`tW
z)+Bvoe!o7b7H4J!)!kB_R`*#w)k$#tZOs%jhrzkR7i0;7<65g<N+eLDX8+QwYvat4
z)P}~_r4}GQL3($gSsaH7AG)PUj4+c1miyJ-nZv!DFpZ`)VyIgpI#=v4#FUt{d!MFi
z4)W4x58DM1FlJ-Y*@e;}=EHC;uHyY>Alsa_cc-8*)*fH%V(T7Zel}2QzfxlgOFf~6
zVrK<#*Y4L#hC9ZYJZ8I21h1Naby0})l06@mDO@?@yYz<Heof)*dKVMec1q&IyfY8B
z&Q%n0-hay!*go`pO&J523sRZI*SJviG-)C5>3b$IvNz}g7XxU{iAyPpYj6+GBlnZ?
zpPA<$yt94eXABW@hgLREa9~t{LJC{)Eb~;OveB6?I?UW-&gKuW<397$Ma8P`%;5)#
zRuAZO(3#%FJhQ-tKB?8!yg5IZ;w}}BoNm&<LCiSMY8@MrbybP?bAK^~)!8XB(lkg_
zaI5)t?jN&G;nRb|cjlS#z2qdxWFz3j-j&T=t4y`)_bShhEi#D@M4ssL8^MRVrlam|
ztIPwk>rR`?|79v9B{RLw8v;2hB=d~=Dl;M4m;HLk3iHxxL3*+v%Tt=pY~?jvW%{@r
zIkEZ6Kj!&ICr6)Nr9yqy@l$UiR+%9#VV#?7SUjC5f5odr1%$UQ583`Pg`a-oDJkGU
zx#Hu}u2lwb;K~8M#m0Zk;NOZr`X$#Or`(&)Mr#A;@TrQ~?#_mNyP6)B7jfaa$DFyF
zNA!XHA1D9gSvC~S%iCzTi3eL;t|n`S=!2Z`oY-70JF<-^dVFN@+^;p0GeANgQhl^8
zc^~4yhEL2tk{kl)zUPo~Ot2nUq&&}m=E{k7e`yEf#f9*TqMdYW`&t;0dVhNJ&NW!Q
zJ=Q~Ivk3M)Q)|#vUkg$%@&m0CxbQ)b8zGL>U(6;BIPSQp3kTzSbD)nKeU63|Jz@Es
z_Hff)BD*eReYp5s&zu(r(|oJ1q>AI<vzzZdPU}E(c4aEHn-4eLdCpIlm%u>#1H0FW
z=zvLlxocUR0DczcHso%V#5$kgLW@dmxc(){N9TYLhS#abxn7dSPdu5ceIDBI{m;wN
zv!No`s+LFfkCeroYL&t7Wwe2`(M`nV6#+d4*EV=wmB%&V7;)z-1%fk&Bpr!j=#waP
zo_jzMEko~Vb&gVC)6|gxode=HBYWsVP!0*Zw~SI$Cn?}X;IKY3OvDRU4@~=iP{!t@
z(Frn_HryXvCRF=L;+bQI4=y;U;`NGmo9?dH25-kkzOUla_&)#u0RR6CmuEcHZy3hy
zy^cMz=Q%j%*z<Q=k=0V@UkNEIA`KOlkR%O4qNUJ4DnvMU8YDy;SsBU5URi%{pBK;i
zJkRz0Ub$71iJ31|aCUy$U!{}`zDl3J(0iotQ<heMoUIyq9`L5yJ5#`O(BFXjqYSR!
zn&iKyQys&Zj3?ZMwPEXL>DJ&5ISlho^p!uSiT~|pIo-#v1LDywSq<z87}Go+P;5fR
zo9t1RIkvhGNRRt4NLIw!)5?$EjZu&<@QIz&ZYsR1HD$WurG!R77d~j+(Los~*wJZD
z1L<2#y%%pPV`;~>sCq>z>b0Cvtp+-<8FDt%^{Zgfs@ky){ZuU5o0cvZqz4C|Brs{y
z)bNby-1(0wG(0;lQ^H=U4+VQ3e!P4_9o5;QsHUoPoYFDtwx=6H^;zl5kE=DX{JdfN
zkIQrve|^2?e7zAc7kT)qO=;p$y2_rBMmpYjeszj=$^`iO88^#?$Vkuy_PBkaV}xG)
zc4Y@M*vgb)c}jqSSL=;^y|d})8h#{)A#DLcG_s#(F9qr4ho6?J(2?nDhNIDtB`9Wg
zUXG5}#;u1^x5)(1aIwouT*?h#_U(;R(&O6LxrI+(_y840gL6&{C|N-;`Q*x!ln##E
zxZkA`qJu>SXJP}|tRSZGk|Yb04)R-8eM-Db#*R_`53v!}Fi+u8ZM&_Fw*4%lNmn#*
zqxyjt4@a!wC{^0LZ<&Hwl&mvz9;%1|J9pWD4G7lw5zaCc-03jB6e6L7PN}anKZn>r
zRL=OslT|IWes10p{#g!}YCC>*MB0G(5BKcsXPS5{QSS3%vjp<82zX!GYXcldVs88b
z4HW#zc{IsI7&#@ra1eSn5OYXUqOVvDrN&rJ9)8P%=NJ}){X^D}?J4RrEu@N;9p3sq
zW-Msk>N<DxvNcrgyZPe%er0^F>kv}NIm?KT)%5{QYv6tJhb+lZ#7}`L*Z0`>F&vi4
z6U54`K<mHMhnv?aU~?k<cw%x6<E6z_*K!*xC@vZQN|KPnD4G6JCwe<^b};uEZvy}w
zy`J@mOXK6V!kc{+gT(DRO>fh+`#&&qWTeMh0yFD3u~+OGCx|PTRtjDcaCsszGWnJ$
z(xP*!L3oOA(}=y&^Vt#-W}l?{=n7+yy#LP7ifMxAVv6yev;aYt=2))*L8QFf;rA|i
zhIpXdZ!jQX0e$MReSKeek=>lJ%?W3SyIp<i6}IM(@sjf}sB@u@VcksXu^A$Lb)9L)
zF*DeV8ZTOZu%YVRw+m)%)5Oy9VxRnTQ*hpIQoz&4jFnq6{+wl=CXV^^85zx*!0I}Y
zVb-`6Mj_*yn;iQTvHXZMQg3MjymuZ1tF$jL^j3F#7@3_QKB&KMj=pFNg<R?;J(V+z
z*}NY;@B7Ayrw>-j=X;DmNNc^<d)Z0GXxVG!-A~7eN92IvUNa+54GqgJY#(Ku5-emY
zEE^@r-g{~%GYw%OZ^J7)`$2~3Q8v@0zG33I@fFXm6$6ORaNWn|*UMNjoa2vyA!78s
zfOgP+1DIYI*>%{mlW|C^cEY=Pkhp&GMCI-;`tXdI>CDg9-xy0OazDq?eiPzV4~rA*
z^r7;(NM@NqGsC?+v?BQ00FfVTE>TsX2haZw-7W5a!?=5FOEXtPKhb?l?aCKDJrK9K
zo-A~@grRfu)ip5fCphw7<vn^rhbNN}Lg$GK3|ef1pL$mx;V@dHr9`6x-KD(iRpbNW
zOVs$v-SR%-OFdtKbO{aiY&^+qy6GjcE^%K>W?df<8@VENd@YyC9!{}LY<xphJC!-h
z@b(i|<x;%VYpF2R*7~{OSUq7br}^yg>3(9Yd%HI8HY%KzUU!T`v6(nRH281T7$ExG
z#S`QkbRoQbHI=3B6LExZg7-bkZ$f8>Q@+)-4sh!yaG72GN^m*zEA15;Bm(bPf7-63
z1A}^Tt5HTjh?mWgsfJtr5a)vkG~2EXBkh+PUv{<;KX<%H>3%;%gxKV@e7r;f1*Na6
zMprwCM&sPu*CR&=%WEzQGfiX|o3pEE*X|}h%wODLviC1>Dw*fOWf3wwZ0_pbcDIM%
zn(KAEy?&gy`Q0laahDcU@zf~kkb8-1`vy|NPEHWb?>e2E9&18vlE7V##y;Zs9`NS=
zHc9Atta>{!Yl3c}G2?2|0P#j@U8>#oX@WIVEq!K(2E+}0-2NbBkcdkkSO{gBB`Ry{
zYTuTt!&g1={O!kvh=|wPr1d}Mi0hAs9#+VygH;km>Tlr)(WczOVE(m0q|bbAX^mF{
zlE)H{tmGJ>#J$SmtF%OfFQ;`;XH-EwIbmk;=Qz=4_$#C0<_gjJ*o6JNzbYhGac#fg
zGD(nocpHuvGC_C#x8}b+Do|&z{L8gxia1&MW#kKu1%%}Vz4P~|fZlXeAUSJ>DA`pQ
zL+W4!exJuA+kRzu&pkHg9WzJ7zNlX?dd?0_(m@qs2bIBEc|a~RV}algh@CHc$qDP}
zx3d$NmEnlli|LWxMdFK9QFiD&H(Y2f)l|t;0s-O0D`NpG#Lud^Ur$2$pz^mz=@nBY
z$mh--+MU4!&nnLxw^J8{9SPLnoL)t6a#6C0k!OK`6RPqrgh?=*LrdD3rU>$3vnK3K
ztnlm<De~|OVW{spwP|syA}}BA?r+ayhf^OM+(HvXVR&KPJ+^g<u&4Wyvr92242LDz
z2F8m6<5K15=2-<uXtz2!^_LqGhg+6iN+sdjX;~%3E(HkeU_1N5j}J<_H*1n)Wx!AL
zCZXQ00PUWmlTFfsaNV79^u|j$u+K}@y+5h|OmdR4pSVfTt;V#+#aRJDH=V1GmR5wv
zHU(Dw4}~G+h|hiHc15_KnYw-JK1JB?Bv%%6NE8CqYOT*-PzL)^d*ifkir^BKGbpuB
z9PE$F2gvPKg&)Qn^6rNzfs%Wub#R;{9PiTHc590|><o$@ZMRegngIW$$j{Qi6tDX&
zb-yO;QIB4@wq6BB<hJLOZkB^ntwpWv*U12asZHuvRUxoU&C`u(ZGYjiZEAhmun@lW
z>2tC=n0Y6Q)`Tj;r`MvTdh%58*cUF}DW?fjmp<HSpHYH{T}QvAyVAgU_K}L|Au<$8
zcCpeftH75hnKc)W(cxW271tR99dN(tTiR`^23KRweAY?P1MgRyo9U%gD9NrWbskp-
zSvi9v&R6x}_fbO`j$}G0jwF2ek*^7h`)W32ujS)dBCEsgJNn=dz6Wpz8LT<@gdA86
z;iNtD@v;#^Fu+(_v40e(<BHJicQb^{%c*bo?K6RN<=f-S$8<nCRr@Qmiy_=D=^RL4
zGKVYLSHq!B7dF$dl+<Ma&bbGx@8ns6z}Jj0kzgu3sw^{2Wi<fpV^XROcK|XszD#Uw
zpu*00>APHOIm?@U&Hvd?D>&}F`3?&c4a6_M`$XfRLj+fu|MyvID4Zu3_N<LZ&*v~1
zuu&oO(67;<UK_}4JHoEmNQH*GxrZJ{lfh8+*zbf)Tky+NxFh99g@maiX}=29fGe`!
zcZZlA+>kYOe3q^YNym4C$7e;bi>Vb)-)aY1PaDOH*1WP(H%NZJtu*|$I4M)>VFxNl
z;_GTmDe!LF<T3WkB#7N*-``EP1GCmJx%awSuv<-!b@~b`h?zfq$^Ok2EN66Ncde+y
zL#>U4E184DLxn$96mMG)a^#4JFH?oA{7mjDN*`lbT;b&6HyfxX`6`zLD#NpMZkO9y
zOAN6d!H6Zo2GZw79i&wi;lOFjj3pIzEZ#T8(8{p}N?6(Hr@!Rj+jD2P*`qudP;YSX
z8@n|;@BA*vTqFgx+#`*@w+Nv2e_aubAS<}?@L6MEg&1TPcil9K62ePir74@g15Ezf
zE55`l4Em2oI5)bJkXLH-{>TP^KFj(gKUaQ8pE^SjUr6{>@fL1RAYfin{Fk2;Cj_^o
z)Ftu><9|=J*{zc-;k0<u>DI%{P@^s2@kCS@nLNVYh~2UPv_F3FL&ZGdlAqdgXqkjA
zkLUb`8Rj6DT{ZSxZj6W<XWHPrHh+Yx+Dg%=8LS(B=-utwK|DPdm)4m>!sh>2UfQdh
z!D)Kr%^Pk03}4ZO&xa#O7`pcx%e^2|SY~hy?z`Q_@IAkAJj|JdMhClBK9-w+v}j@c
zHS!;ZX;9x-K9z(;3O}#U3Yox{p{e@t;R!~gT_>qRg@n6?{cQIhGzQz-`@YCk&oc5^
zwx8ZgCLvq;b87r|BM2>|P|6e+8O`_Ee+I25;c(p>{Xsh;c;pitFsQN0P&~z@9d?w2
z@$Ag&=r0Z70^j?VxNv5SZ2Vdo!XTkf(&U_qks)wgn;sU^W5ueJe<oykVa)SSP01)X
z0I|i5<>xxsaOq0Wc1Rb-hwn~CMp_%d{ru*Rd&fBN&qZn%MMDIwTYh@hw&+8;6Wu<a
zhYPdrD9QSK5<!`5?^aUw>w~&#l8WPXZj@oDNV}wo;>L{!D_Pj|VYZlAr9qPyKd*fD
z+!-N;t}Uk99rE<xlJKAd`zt=oK2u}FazGq+TY5V`+N=k#U$#EjR{$>=Z?SrQS^^_W
zLStiD^&o!Jmg*}!LYPJ{&i^iwM1#q<=1@h4D6xWq<q;tiHhDb5y(opnMocDNr`GZ*
z&ceI8jf51jT90EsGANvSfOO1}4obxC6A@p9ak?l^Gi*S1&GT&%jpgYeHX`sYt5XEy
ze*723dTt$V3{L#GZ-oZ?!}rQ1&xxY0@22@BMFk|My7~Vaq(LiZhudLAaokfWdv%Y1
zBJT7&m3yy?2J5eDw7Tw+z=(f2sKTX$z7HSTV=oOFPxv)=Jd(u!M#6={1(dOOOWB~;
zEDiSQY&?CNUmD}yah~K?P(dpB;`bU!I^-Vp|M)6K1}FX+2V0w|;v0d57e>x>Q2T!3
zBPXvMTAI3AeAuOi^_xWfM6c4}fs0iD<Ni7nzboxl9;=Qf%y%|D9Hv91;BCey4F%ky
zVd}m6u?B|avHUdLp||!9tEBgHDB|8#4`q{PO?+W#@vo^<5AIsVGVF#FaahE$W^hOg
zY131kcE|N0!Et8O!%s@s+cR=sYnF^--<ui*v<-l{b>~@+DrKCXezo!U5Cuc`o779s
z8Nh#99FJ1-R8TJHIosA(+W07zT=(p|AzTlz0mWohbctgsRSR3|cY}#y9*stz#KYrh
zb3hFzrTp!tCv@<PV{G5`uf}ktJzu;T)KTKJ!izLBU37CXn&lid0WSB<Qd>3+^mcR;
zf4N>436K+06*PlDmjSDxry8gzbn`<bzb-Z(8(uhMXb!_KwwACtXyU!ZQjVz$I;hv_
z%$l{+0!E`g{^Mn6qLSf;v3AtPuQ!(N=O4F(T)T0%VG%9-Ar}4bcL4=y{b8@X&lB)c
zLcrA8MhhqMjFbPllaa!e;?xcRt{F^0w;i?cVA_C-aIGe0tO_2=C<O2oEG{h7&_Ys>
z&W%BK4czqE-HXO+1xvdO?T&P4qTActSSLj_RJEp`zU^iOYTKi`r2{oF_w6K;t-1>S
zZFF`iI&TI1HHFb~EgF~^a6w2}O$kFS=ku5zT0sxBCXghqfm=F4{-ux=FyTJ$LC#Vu
z$g7KW54BLo_})a;Tjyj^MI^g<xX=n7R&6`!=B$RC16|_WlaiQ|wqJd3niZTAIC#d~
zK@~swxV~h{6+`zA$Fk0aSiy_x>Ti{XDyS46qDv_hM$z&0A-7GeV8uUccD<Z3{<paK
z?=c}ET(`@)ljR@4$)v21873tx?Jk$xn9YkEPrfY;7Xz5h+n4$cDBv5bJ-$LsoVa+u
zur9zCfO}HR*D^;QkNUmOOnu0P>gLarorM4tn@)A{CCMSjd1Il=YAopL*ZUeG2;h~~
zs4Pj6!7>e*g5!Ej80G)G+w+Yj)W-LRMm~_jjDfzC__NCl-MYp*Q^J;@lul_6>zBZ{
zOd45d&n_~?qN1f9d0W89_Tu-&*5dd@e0BA+!#~E=g6n@?7MsI?1fwhdHKLebA;FbY
zw!rwl_2PaKn>myyZJXxs6G5Rl|B17u3k<(wi%r`-%^)_PrtPaGjC~!+p7(YCF`}*M
z#q3W_!DH9@!Zs2KN&Smgn1vP@qk7i1;R2>$NNaz7P+ADt9~f}IvR`6QZ7t%yhL`|-
zYS+O}aRT_T<3E;#_sfim^F>>?eKv;u0moHQgdfXn_y)t0RvC=?v|1i>V~8{^Sa{LS
zi*Mf;%|3n2gql5H_&FaK0Y3hrRnx|U^ZRyH-fUyWC*}$g?$So^>X%f;1V0ZBW&TT3
z<7UN^Ax>T#mknWweY;3ZI5#%jEc)x@%7)~HYut)FhEO84dHfeUH?nc;8>xT5j!#dN
z#Fiu&z}2zuiLc*sVTx3zEVC>p1}+zMedRR(w}tPaGEcbhn_IEu_xoJvyGeCCBSjyE
zZc$$AzUD&KkGh-%4m>Dio#ZQ{pbxZwi2Z5HTsZCby<h_eA4>1j|9HAs4+0gc-Hmpy
zt(*Jr?uTxE<RgNbrtS40Cs*;Jb00T0J?l})Y7@i+Muq9)UOFh7Hb38Ui3jg((~hAn
z3gMf>spke_>9D%tU%#^#FDj_6o{EwYM(6Q#hcPl8E}mcuH*n)atx4<AryE63&*I5%
z`BoZmazFbL7s8KijnPlMu8X2CO)t48i3S&5^gJIf6hK0iVkz-Y47V)bvnsNu!Py(0
z{u;bOsP&be8*oShb9uaIk~}m>YkSr3=aUe6ZnRGQ!6Ajcy7#qfzEI&nBagUO5edu6
zT5rBDkw$X^HPhgHDr|4n$g;R2jIFy=bPk`9McGU3Did*3NO2$3uzetc0-OSRErIJ$
z;wbaVh7c+Ubuq`%>qIe&zw>~Zi2^Q2Jh8a!Lxto|ee8@CF^mtiG_i74#B(nzTvvUm
zaLzR6{dpG&G!@9-Y8bM{qlV40Gl!^fgeEJ*Um}T5-J5rW+*HO*7u*ykQmF8|`O^MG
z18H0hC*LS<SHX4L=A5p)r9$_fdq&euGMMm@&S9^jhB=|fmoKcHcSGILgP%{!VKz-*
z-`T_J_+OvDQ0`tDYzh0fMbl9pH~2YG=00fPljY2XoUb$}-8a*mo2r0j-$s>Gm9?<K
zBkG5~7aigq208jKD&mr>$AJTf$;iPe8~cq#4<f}zsnVB}kW<4dYvCmYd3O(w7r)Yj
z&aFrOvZX2G;Y0NcWq-BN{z%4DXqG-a+<Pyh_Lj=pKmD=$0NWZbVxz)2Qw(4vS-JOT
zzAAox^E0e}QWx(e@n1W4&k)Y}8IFk*sG+d2sPjE{Dw?i)<o&D32!wJZXVdc3@$qu#
zde?L+`gc8bsunN-;Uld1t5-EJJ1Szu=ouCJPKF4&dzr$;qp#~u1ZZNS)53<Yxm0Y^
zkhectVFs-t=Nws8wa};6U7$RKihq@=9;HZHz~PKE`CAMv%<4-P;ozpCuXe^}fiO!j
z=oRs((j()6BDKJ*VI2&N5>m{mARy$vzje|{GHz20NY4(@Mz#IH9gBwno?N$jvo(#3
z{5rd5XLHEt(N&zLumT{~vaPr#nv88Rn{%==G_huA{_#wh6~IiWteOECP517Ue7#d0
zTafO1t;q^vSWYlvDztEU9ra2ciz=3JXFR3}TZ52Mkxvpy3-_vadK+geA*Sul(lWOO
zOPiSf6PB7d-BKO*$Wj4aFBD|6yI8|wx{l8K^%}Tvm7VGGUm4`QP@U(n-WpPr>>FFC
z>gcVLth|yhfpQnMg{`!#;p(=4fg`MI9^<Fz*n%RMwfveF7p>sm@Rm1~Z&fg_y))9z
zMhK&fpOt^BTI1m7A1@-Jm67GgK7Nr99=zT(Et7f33W6?skmvN2@SdpLl&LBEnh)Bx
zPRU!r{EoV^@nMBEUgi>my-fJ`{Oa_Xw*YnOhgIXY%cJ!5Jde8-{}^+l>_21o0i@HG
z>Ia8qaWW~R=aR+@!|g_UOe-4z8}A*nfSc0Da`<9<*x)!rNUoN9!G-__y-?5Ea7m1K
z6LnhR)-Z$X{daq{XiG>n`!CWZSR8YGB;|+p|7K)%H@E*Sw}8&h>>JBTYkr(+rIYlt
zkI{SfPg~-=In3%-9eTayrP;g8iXBUO83N)Bzdo9pgN{h>soXX1kNvp)Yr)fA#<rL&
z35PRg(7oEDFjXap0f$C7erESE<j!i8+clU1SAn?`pBX<cP`<`SIt(z5?z$*FC1VN`
zwG+O6%)FRrc2S+4G{{J_3e)jAXaW+^c`Ww)+^FHT<%*EwFeB^MC(^n1#$a+i^v2^I
zoS2YIx>p(Sm+^kLr1&m%V_+~%JPqq-$De$si#<oi8Q;;hq4B&Cq^?#89C^ToR6iG;
znm3b-^xh*0ug48xgVFW*^1G~<Dj+45Tt3YZSDUNR*l7r(Mjp=(HL~EAM?Y+Z>Sh_<
zZ0{cZ`CtHw<r@k4HQwvRaX;4`n`eYx-bR}t3?RDa&d&1>n6Y;CDOFQ<k-=owQDE^x
zAKqlx{`ls`jO7hYXLg)lX6(`WwWnNPAL7rQY)VjNMy6A9uDnc4Sa$AXvroxdZv5bV
z5G}=wY8;~MR!+>Q{OG%eiK!m6vNrFZ)nP_IabXLyd=@NY`*a6h)1lV&-IEJ@nQ^g&
z*kvfihDQHZna*yagQ;gNuVFbe9_&3bQ*xUf#~8W>LceG*sNS5hp2C6`YAWKRtvJzf
zr=!&BQ5yW5B2M~Mu^?>uICpu43wQ2+>JuVN1G_(Ov@Qj+;->12M(XW6NS-c#6<17!
zvKF60k|`S=4EP;i+{TAcT3~u~8x^?dDSywav7_6Z>aWjCg6P=%;3V_1E?nymnC+%>
zV8b=9@Zx+S+*@uh{L@nxdM8{|HtgZV#;vXl-9Zw5nH9QYP@@CYo8s4*t?~MnfydT)
z5JBFWj>I8D9k3>~ZVOl8LBmVid9_PKG1^6`kGWhMx+YfZ2djB8blfIlZoN2eG;AAv
zwm}=dtxi5`Im3_lQiVNF%}b!yg9|QULlhtuO=GTx3ZgjEukwx$QW!1dJUf&{flS(|
zuRGrg;V>>}^S+kBC4-(j(!Lb<{C2@$VTgopAN9o5b;;rAZ1)W(f&zp3%p3n{iXeN@
zGcuACu%wCQsIoo<`gW^TmYo$vr|)4)m+Tdh_@~MH(3S$So*9cr7R1m?SWWlP6(w93
zY1g<hf&x5mn#w$rB=Ek;(qoY^Wt^M2sXg(I0ta@p@3gm&!gn7`InH>g;vLZv@>kG?
zTr#M(@X25S^}zyLj~a$;ZZ5w!pbd+B52ghdWpTmxM#jWJ4Xn;z>36Tv0fR8R-6uHZ
z(HqI@19`RZ@Fy=>v3gxFIU6&wGeZHH#-A8zJtE`EKo?~-feJoZTecchDB=f)FZ?bW
zw2|xX0hVcJ8btT`T{!$(39C<5U03MP!Lar#KmO6_kbPoF{-T@;Ch4{Ju<1}S)>p~n
zqPZRn7(Nvf@>IoJlbNM&eo}FGNw$Uv)Q6O1l~1>>sp0jGXss8AXt-V3TRY&T0ra}~
z@OL(<Bk6cZfyOWmH%FWrtkpIGaj7%Gp^F;0m56neH=`pn`-K5Yl`%ZJ5nCoAp@ocw
zCeGpi=;)}{x8K6o6yEUu9{M3k#sV&v<@)t>l-VpMwo78Il1JQKA3RS+pL#8kqFEa5
zTXOvHsmTJKIWtu!to0~`<F1G2{b`u5VE^18iU85uC)lH?+NjPlRUmzniWw9R_LM|`
z>Dl`)tBz~qtZVVmte!4Py}mzt*VYP7UX>vqI;V|dMHb3`YANX4>cabIzzVSH+u5<L
zYaSpFwfKoo3-#|?gyaTUgS^1!<BMGsbW0Z(8k12+ugc8Zvdz}e)Zn{+M4N&FzE)}#
zLMmvGeZ$#L*aqJ3h;=_@O-3$}j|a}L_2b6}@0@x@w}GK;1GH!rEu4x<4@;-WqLxUB
z%%8RKZ5nYt=0DeXw<$|0<$*Z<F|c*96t{ulcKsL2;p(VdIPOTvA>nD--oB6B*3kSw
zSpL6BRZKc#@bAwK9=vszQ$jP{8a6y~QY-aUK|$ufr#bGiU{U?xc&mjquz6l2)qYe$
zwm+GfrFQd-;NJ8Y)mAI$HJmngvQ)%U>eDU}tzkyd(=?%mU@N#bvUD^*NFF)tvx{FU
zeqpRvbLbyigf*X6_VPa}i}O#u{Gnx+6SvOSbO@dYP_4PF%9<~Q6#vPDE4FRKfom__
zN#X$P7JaMktP;2(?^3`Pvp&Ll`bTE2!&=Kuj!ZDRD2hoF@8%O028j-a7|VqKOW5&l
zNvhCZ7$fq|iB~rc6GTitKhtFkz)uf6H|wo=a)TlI%8nA%P8TYQE6rhNg?Fa-Ek2yH
z5#zmWK1w9|)x8-RGlNZ?gALUN-1x~+f)sFUgfNVgkFV4;13r!;avRk+u=p%nw*&t$
zLDSvF#S&-=oBx=7y&S}fYNhXnPiy}nBvy>2;+~kmU6$<1@>M1rxh-|llleFCKL7v#
z|Njh^cR1B;7{~3s*Rl7W$Fb-69+D)|&{P`IqBJB@Xv#=YLh)+IER+@L_e*3oC?g_K
zW@biaUjN_MbKTE#-Ov5~e3DJR9b#HCM}frnkpnN6h}XGM0YMqR=q2Hagw}d<)Wn(z
z{x>^Em@4(YFth5Re<;*q6hAS;S#s-z$-Eij>)Kk&@Vi}fPLtNieXM369cY3NS|$m-
zNTvTGKDN`B_bzWA@-oH0>VmuryC;Z07tKo|^jhfisTOLY^(F}aDs|a7c$8rAd91}j
zHqxCfoV3zSOfci&QG2I#h_Kg;YKxGprw8=6aG!Z>jK77OU!5xNCu(X`?s90orH5%X
zuGvg6hJOD0pc=VeLh}_p?4oBez43E!w)71nC<Q8;>JRl0kAIa2x+gxQ_tn&<rg0e|
zCQ)bllXy3=SRMGPsv(B(^uO?;=_(EJCR-G;w7ZC;ktPZI=se=B|55%3E*hLRd6vbN
zcMxn>G)`oPzaj!;y!o@D4e`=$W+Ug9cEatll?j!-l5l!iFeWWw2;V)+1{9ArB4OEk
z>rg^1F;wDzt?~gCLmp|}%g$d3Ww$=}CxV}d)~#HeH>p&7pnU0GxZ6rZWv%l6Vf~pn
z)%GUq(`5rNmTuXLnY9vSer7v5CYuPqtB*R4J<~@gbH2cgQY+DXm@7fFu$7paRZeK>
z)I%NbwcPrRtwjFKiP4|o?F4hFUVgWT9?m>?@?5&AmB^lvKUNjcNxb-Zq~6Cx7r)~J
zy3_o>66Yl<jC37-5a;7gY}pd6g9B1!Wt;Z35tr(X?w9@QCg!}w?_Bt-jkSGp7E%%I
z1lM9`n%aLqiRg;~xz)1T_!b-UVqo|iv42X@pBC6l+;}M6Anv1uHGf|>KaT7qME;D_
z4h8fR#iG^g){~lG9V$3TIn+foKQi!qk~&CetxoRnkkUkdO4N{l#Sda6A?2*h+;2jC
z&aG1`Km!IUrcYY_bQ2s;lhcl08zm(CX<3ik)L|RZspsYRlNh+8{7W@+oLKL3jEjIe
z9A#h4S6BQZ?$VgcPE!96BW?{j$8yxr`F&Hr@}WLrz%!~hu5*%j`O@>pQ&}~n-<;zR
zwHhEMC7OEM3#N(btdnblZ>d5m^MYy_eTewAkYK`5_Lq>za~tU5QAN{-k%9W4VIp8B
zMZ;x!jyTw}$+|CG1$`+gIX5OoiNl8B>Ar^-iS1r#WE!su-nJi}pKTf^Sp7=6O68V`
z!l=yvYCx60IrKPXFwL-ka(4eiEYH$6#Pcze^S7VL_9!T0Uf5*o$)!nR_yzrKaXt%~
z5Exuim#>6J$FJ_a-Z)LX3e_qOy2wWE@v!K3a#DiU!0QW2Eq@8qn{@)0E^&|?1HonQ
z`V?VY+N|g#G*2W@<{$RI<Ra_kDhl65C}P@iqt)Fji-c6;^8^bWUQ%Mqj>umoijdby
z(KNMQCi;WC4@PwIlQQ28oQ4_|!1TJqIzWz@)c$JUR(w>5+(hw_`sJhm7bC&=gi02&
zSf=I&vycd>_{l(9twkPAd52cryvs(`*|-Myb%~OWa|(T#f$|v7JiVbliGyr~ZXeHg
zadN%IT6-yTc^qvoVG;YnMJCKOgm4N;k|ylciGAYo(0TBD-AxBxvPyBs!Iy#3WLj9_
z!dXdqcuu(py!y*ernl_Bds;z`TyvJN-nLpEz6IMdo&^Yz-IWIpK4(!R<(QbgJ=5ip
zv{h2hTuOx0Kk+3#^R5!9x_&Hta+Lz=HD7<b^i!17{dWGDwwnsspEbH&UR)6^)Xa#O
zHgPhkUrU;*r$&zTeD~LXt_YoboKrggD5PuJ*|=}|8ssR?Aa#A1657Wa_I}zVO&0&@
zYnR-tMLrYt(szth#-iJ~b=x{*$&1X#pJ*oOkkm-SocT5t{5VytTb`gmb~k$66Is+F
zAAI26?R-`ZQHm$lZ(5~9ZfIp#F<DT_^{$kr4<|IRb+ku%u1T5P!7?r9aMqCQ|C%yo
z_gM=eG85i{!K&n!J6S?31vGMMmjJ!uu`b-JYl^>^sFSZ(Q}0c88<7?6?-eioF~HM>
zN|l^N4RTfTt<$d4#$=K9snX;hhOqrD!O>QuMS7f>+f(=5gzTb!-X6_mjLa9CTx@RY
zkX^gjN-U#I$*W7cSL}UF!K<9oykWH-X?0Mi^2Vqs`6;O@VVd0ne=l{L?Cj7d<80@Y
z{3lFF{=~v9+?7_)eEYC*L6J)GHgNl2xn@ebzN%OL7Hf;D+xh8SFR0|H!mi^5=_aJQ
zbzQ${4p0~W>m5bbkR0=RCYkDHOzJBfn!dNd!0eUDMOJr1GN_NtlaHX05o5YiVVd@M
zq`?spxy_I~Q8zgidVosSJ^lH`LTwc$9YbRlR1C=n>suy|&FYZt)tB7Y^{+yDa_m5S
zF_kR#$u${oQztJ`{+y{j<N&ZtKT4ILlIMD3g9me!$dZTa(tl+*VChfn5Z?`blBp+&
zGILald{^EqpOftX*W1nPK@W6EZ@+QFI13@NR>04bInV+2k_mm^1GP!}s=v7*QcUDI
zK94_2G7bm}jGJ`R)+B=k3#wak8i-lFtWyfftDtgGjZddajXdfwMGfGYq%Xc7?zzpq
z3X*qN^e1+xkbC7$k7;~jLFW};_R7Qd;Cm2r<i9yZvgJiVch3?xI#mDUC{@|vPv1%Y
zm)qn>#l6<2h^>N<d@2}et7He+@S3>4Gm<2OcF`f>wlHq0+Q^QDF<{WN%jrm)7@4?8
zWzYI9f_Js2-0utm`C}>5vmC-?kKB({={cfMtgsRC-;R~}sXGwQ&P)0{+#WqCD~1~n
zts}V}(-CtesYM})jZ8{3W$bnm1Lcy;{oPM&L2N0@{Cs1H=+{@eLw6LzYWaKYaxZOg
zZfL)=DBmQ(qk4ANcMUN#i17!>e6vP;pqu6i!=J<u>Gf=8Rut{Nv1bH%t?@Oo>}>N;
zKEZJzXwk7s6y5jZ#&R94kS*@&7S-2Aw-*$1mc1j2v!M>PbupGmDN^-#aC3;BqEY1Z
z=9nnn<eqeM>#;!Ig`8-c1C#VEjx`^~w}@h3odf4KTMM|~KUN>xKTF>_T$ZJ|K@{%t
z2KGvi%&|_Yd;Ou_CHl+(AG1kMQT$Z;u}@fNg_nxk=igZ{Lw)x?cjYUh=-PMaOWtKO
zw6=(G6>nt4ZabOYe{V!#9a)*1&SVC@v-ggLt!795c!=LIiWuzKe9x9%GR2{|rDh*F
zPTXk7NfNp$2CKbs+SUA~5U4e*671r_+mVb%?gHXCpdH&@kzxYV3?|VXu{?15u~sN1
zPaM;Y`JKh4CXh>fEt_h?hkdqfE(<;qcv8?3TG?!j`a4Gpp7ik}jk$5=y*&jl#fBgq
zY>Z=nEr*}Q3gYsr%`|-zNvQKDo?g;2#+%3Qui}vqws0N{149bSJkK^&bs3@7{l2Kx
zC1H%W7V1bHlE#6AM2C)KBlyf3x6zM^pgrLCp3+PiZ2a(H7wKh$etQ2giCv<2;s2GF
zn?nu(k<SKLO^lHBWcvD+9b$-<t+FG6<<Yq6N}r3M5dwmva}IimV{6&(q^BH;crRMH
zcE=PAsTscnLxLr6ERo&z$~Q&Wel2@H_lt&>4v~BJ9#K$PuG6ySl@f{t%Xo!*Xb3or
zS0U|^xc+xcLo!1dDk+c3;)iL-Dhg!IRFcMvjw>Z(vI>6QR0+GuZiJJ<A|4KbGEjX+
z%gec^3L?~=BA{=CHmMXr^=?_@gueOF@ShsK)=^!Q4;n#bRQ!0}HhF|BpQ=krS4U8R
zuXkI%5gb+TmcIY4fN0)=A6>Z`h!9Kg)fF_x{CN1+!4gFj?YvX_sX!BB6Ymr!LX07l
zq4K@_ni49FoxlFh*McOQipx7T6S%v~hwk5@j8eDOOB@fi;VjQyzL;zR8)iw~d3_Za
zIYuwLgy=w_-q!WJvnh-=`x6$ds<2TrqaU!>MayL4?x%caxU95x{mCX(<n1|e=tjRT
zuA4arZ2Dn_+A6+dH&*WRVDiJq0WUoq()reXq0$^Iwfjfp_NwEBp!q~afgX(gF5mVq
zvcU6OX7LBbHK40kedb?-9{xMLxGv|pB~+eehg>Srz#+x2|3X*lB|fmfeqUe(Jt_vz
zuhzuo>Qbr9oqE`3cY^stu{C@pYg5C@G+}ym|BbRrT_oHOXOk|nK~M8Q3#XVC)+una
zT8-;q!yy-src7HXrKT$IxM<;7%?Uo)Zf)?zd&<a0)3G|V&yVJ%g&$Gox^?%pu+=Lj
zkERDqO;-l7ZPS8TK*h<w+L}0dfA2N#tHAQ6^*sw3T3GF|J>Be%I$XMPnP?5bt1GeZ
z?=@-SRh{08<9(`l`Fps}h?@by%WYY{o|;e(Deu(ORzV^6utq+W0jFLYrLj5<h`i~!
z_wA?>2JLR1k6+Eeg%7z+e$pB+oOtjc%0~ejUb3M+&I~O6$c`J_ppFO3j_)eeWFZiK
zG#p^yc~AMS3V$`cO0-I!6_LVFq?yQ7bp|4j*=nRls3NY7rYH;vWT=`qPAvl!*H(8K
z+);sHXTO<Zp(vaTrjH!_2pp4k-aVVBjP8u<au3f4qo{&wvOEs(3^-hDoUDZF7q@hN
z;uVB-$_b5k8-UF916m~y6(PcX{Fc*OUL3sGuu7W;_}N>ZS-evLGi&sx1o*izwea!D
z`(Qez=*RnpF3Q2<%}3pbT^v}LpI}_=vPJ&!bD7zM3@B67;Zg&3<oxhEmu+hcl^azo
z_r#^)yATwqKfwy?<l5tG_id1z;8}h2nj|ijWg?5h3SIMcADQN?p_sTdFfT!YnB;jD
z++{)g(&5{0w^*Y-FiQ7ml{o$eQ#RCjv0&;-*inNbD>R0c$l1k-VXrgmvhEocNa?Vq
z{GnLE(&9|&<xo)w#77kcR<Pjn#g^q;!IlWUduqNhN(3op7m0riR?ruD0#5$2z*^zF
zJHf@m@M!dCb{J)aasNfW?)4UkxY;6<x-5j@<tr1M6>Q+R${Hs{n1eO$)d^!SA+#wt
z%}BjuM{qzJ_d1$6{QS4fS=R`Hzaf_H-oOE;9TvY+GtIEe$0RLiQ2<sM&YLf=b0N*a
zH_=+n40g*WB!BM{z#n(bwK`k5@!;@l8M`!7kf!TZPtWmVFvYbutC9!#>y)-OYnj6K
z_1Y1&*ZlC?ctLo?g%2&4q6TDNm>~L1sD?u>KlXPM|9mF-A@%JBY0ogh(VU&zH`eo`
zDuUy;Y>^<0Io>4(H5p^GC*!t&umEDiDJ7ZpLYS4ix_i#Y7%E2tST2MJK#Eh3b=P}g
zoT}Oz&BSYrDIdeT1LA^6y<w*&zrq7uomLs`&sO&NiT%=TUj!lU+y8ojSqwJE#|k^Q
z8R5&tg&olzLJ+kId@p7pjvb=f-+Z`@VEOe^M0<}Ac-;E$#ax!asNz-Ld6EXh#?gq$
zU}1!$6jsLcQUJHHPn@AN1W^a31a(9(t22_Ly-Ny%YT?p4jx_u_PjfgoB7%^;xzam^
zr9n|Mm*%I?u$99wKBiI>^>^Q_8IF_1i<phGKI4W6%T+hZ%@f0^Gsi~#Hp_$K#MmCC
zCPO?jTmE4ETpaU>x$eRgMOb9%XGy&^1pQ=|bZo5zXq{WNyoHqDH@wwz_iIDMeUpx!
znxQ~+Ut)8UxH1|o!+M0O4G~o9KYh(o3b((+6g^N^!7%&wio@RxQQkaWYI|E6n+`aw
zd&E#hn`X`0LUtOYf7o8GW|hT-3&~wN2h>3LF-R9%8dQ80%+H3);bBEx&BP6L9L^Mb
z7<-+D{0xa>rb-HUHgx{n-!ct^+L}6a4A9`_pWdwRt%wbeMWy`*G@+%UD}QvC5l)y{
zh<>(L!Y;XC!FPh%2-%=d-8f)`Cx1&HFKZ}cm18#BZe1PBxy*WaL>R;S=;j}lLMjM4
z&2X$W(}mT8(wbp=6TBeF+M)#&@CF|8E!Wmt`M>`xzKNM4-XNfKs8<!Nb7kW6B|TgX
zed*@9XbRKsl<QOVYS@$Vn%4b9A0m0f@$s`}5ZPQxAI?<ARgGuQ6%`ENx*;Q7fYSop
z;;;6dKc|6_x0B~Ob{XLMNuO8js+JJm{lJ^qS`$T)KQH(0G{B3<;PBG5Rxo!ISAWu{
zi3RV<JISI3&`Y7R`uJNzu(fvRzcX4epJ}MO6Q&OhpO+4olWicH->~e}uZ24z{YRzJ
z^xz#(TlKxn7SD4Q7e|e?p`o%NJtkBa()TXwXw<Io>dnVH7I$i6QLO56s+11Sw}s`a
zdIE?ac;~!B8;Ab=ek2&Eg^Arqa!%C&=bo8gsngd+z{P~?PFWf_ZDcL;Q-y)ewibMO
zZCc>fJrR*ps)jQ2m=m#w87PieCw9q03#Js~<p(7y`2CcPdNzrHV=SILoTZu=p3FS;
z__-3s_XrIiEMnlnmcL&`XEbpCluG5Jl^hYi-?E+UH3MAwx9)qa<nR2Mj;yu+$zaM(
zBR2Ip11u%aQ+4Fj(f3q4tXW7Bt}U(167dXtacaqt7F9#~4DIvaCo%kcs=xcr5eANb
zNihAmr~<3C1)ges!l3LAO+8Cv;NP$KHzi%lC|erN`<W+zNBT=IrN@E!-czH4q!Nn!
zf=pMh=Rs7=&Y#6;KycYY=g?zC%sy;p3VFzZab1D?Tit<AcHGVD6%<evW8|Kd$_h2j
z&l3a_5Nl$v{GLk=zqFo8Mp-lCq<`Jc?u~SKgsEvq@X8=(pV-LQhkx`de6!+C4{V_|
zp}KHIM+!BMFZ`NPSfr;}m-0RxwL!eNq2Ilu6mYitRGeQwPgl&zl8>{tK|@iz$D<G8
z@U|ToJZd{fcOR9wpd4k5yiqN?#EoJQ4V(DI-8f4hR+$$z`EG^c+W#8Jc@g+k9I}ZS
zouzL&*Z1h4krgZk#YO9?gz>a*v+C}!IlAed5E0ENO9XCRv+(D+5TZgpT;UIxr}ucz
zJG~jOSm8-t4(E%4F!{D^=X!F1-mGTFalpv}zdxMjQ~l15oRQ;y3AZJ>Pyo+Oqi5!r
z-KQTBd4><Hj6%^2`DHq?%U>}l=Gg8?9yqs#7kb%AJ|4H2z;!4rG<n4%^hDHhf4lL(
zDb(xy&unG{WVv~6m@$RydI787QQT-;-=emvlLaXuaV!UYOkrmJ^y~9EE-Vl3p372Y
z!?wO${lPvHNGav_zPQZ=lYD#Hd>A{bIE$Tn512r0L2cpTPA>eBS$v;2&4I?9xk)~Q
z#wd8;wL4@T7k2IYT-FrIg&u*_J$FtRV>q4b<J|*X;Jae>uS=B&I~mDs=l&U?BfCH^
zI*kjt5)}@4KY6h!DtVp#O(RsBM4sQo%Z&k9w$if%KgOD~RVf-qcsR2Av|&6q-mI$K
zR#+;Cw5P3_x^HP{Qxp65+JOgwWzo5U!$M&D-qiNSYlY`aZ`bum@xpZ-jdugT2v+6N
z7ghLZD32Ov`y|4L@jU(Xbh{P5%gWlE^U@HXns1maQTg$+&TD68v>1Y=9w$`#8p79b
zi;b4Q05)DzPMjDMN0P74odHcl+??UCbN(TS7Haqn$(8v!q4xTE#&0TyUp-N;c`1aF
zu_c2HCMmpV*_@qSM8)YxtdBJlgptdc6)Nyt8i{U>b<ZQHsL1XbXI<e9%Pa7V3YCTb
z7v+VdLsVSt@A6TM7sbv!c|3}~@=)KfT6NC`DiFth(V<ujJ8TE-Oso}gO69Dj!fGlm
z{oST!IKJXR8<|2KHz;AY*7YZ44HX4{Ie$kmDEL*lvHXg^GIj-PNj=?0MJdlo>!xf;
z4F3w?amY|XeAl?MS0EMAXDsRN2GaPkPhh|MfGU2rZrt3HO@(JIg`4BO3|yq{|LrkS
z2h-u#-n|o4)E@lMekx23mpklZH-~GWCj9`Pm5U+%<Z8G-bX5SUb|g@<M-$!LH+k|2
zLn!X<2%1Vz#8CT$@@H%9m3l7<lQRvsc(Pi(Z!6(^@jJ`=u{uzX`?fWAoQAVX$Hd3(
zuJnDNraP`f7x(73&5x~k)6M+%Vh#^fu+zRI=#q#&3@LmgelaV4TDQ|B?5QeJXmWSh
zbPN!k++C@2-30M1<wC+Q)le09F6Jx$%DW3roYqS*1zYJo-{*unhFC<4%YCR&CW{Vx
zzBhx+SC&6PuU7meI!84zhl&{{>58pF7I?($b!9kH6InIBIg&M0oN!Tdvp8Uh!g|#?
z>5E#h`IsDkuat@}5tgb?E3J_ER3z!Atu`8t44udbrDAtqU*A7<8>Gp69XDy$#wMwm
zi9M236j`NS+IPtoZ@pTTj=1XJ)`{HQcdQ1uVVAeltAUP>qh|Y4;&ou_df8quL=Ty+
zn}=;L0$~U491+RYf!|xLQ=hYSkbGv5e-AGMYh(3n&fL+#5+h>h&|NKfp0wyALKx__
zY7<d*(!rSUlIqEg8YtwsJ$AZ-0kfiNTZ4LSq^9xv-WyXzbHnGPLIpcWjZE<#lh?-G
zy(0^>i^{NGwU>8vjUA$gQ@kx4wNP@{@^q=JBHU9alMA=mp*-Q|A3bMHNH4EHvuP!F
zOdMNk(%tM}ED=}pfvSOb{P)iBZ=j%IyU1}(BRg=@{i|h`)zB?*Y;DaxQH%u}QRG?e
zkms=9(4t%wi?1ztC~pO!>N2-I=Pd)q8IN5APO3mUR{Hm$bZ)FFa;upMV8APT@-M5Z
zGESfL8m>6S2Kw$FUK7d;y!7+vY51xLZ~NEZY!sQG$jo^Q)xaQIoMxf60%SW3lH#rB
z=%X&Hvo#K`m{#NXR<|-)SRBbZB~>&@=Xx|WbcqcpH`#xv`mi)acDys&!#+k==1;wv
z%AiBE;K=9qmXa{_y8L0&$N)Vug3#I>WQ%RnH_H<YCGd4^ib}=DUvz%k`!yp4HaKto
z>9eGp7~0;sb-&%-Lobdrp9uM54T*x^H&pJ5;2j(7RkuSoJ<@q=M~{&;#BUUC&gKxt
z!zg!Gl}+7r^Cs!q#6T;A#<{q6S_$Hhz@eFaYkTNxmmS}ZzqLfnq@nnl;+4F}pZKA$
z^poE2xRlK&YKi}fqB{`G1BsOHTNYRK(K|wm-~9EqfNM7YlkuxuFwNG9<7FMBFSm<I
zXRr8+?(?xnre8RaFyhh7r7%nvSW>(#E@zIkiiaDTJ=n3$xiJ3v)iJty@%CE95HolQ
z_IbxEupwh-%}$y43Hl|Tk7o*cO%Xet^uc?@-|ma2%wNAWN$+U+S5@L>ilCA2Z;pZm
zR<8ZuhQp`ng?n>qDWnNTBs48V?lPnIU_h8*+Fv>==PSS0MkeST>A5Q<$&595UVV4J
z&e1tsla-RQjgisq_%MlN!g+DQ(DSN`bjNL3Dj6EaSQ{;VmiGn|er>vO$T0FB{j65U
zL~FVczV;WmFfK4**XRSEfon|Y^Nonm(lx@?^zDIuF-*u0DZMEEjTsK2$LmrGXc(z~
z=BBf9esv7%GxrrAG}PMHY0IENht^}YN01qzKQ`P`EoTGgT>E>8&xYXEKjX4Bm>Flx
zBA0D8a6o%gFU|6xAud}kC*^Xmz{r#HXd)9A&IG1XDwz!7`Zg}i;~5KXocX-(;74wB
zG`TLfrckl1s$u-$DOPL}Cm4dSd7*9WZ19Ldg<Ij78i}oJ*x}m0Q|}8ul#`F|ef8M@
z-+ioCCv0a&*njSaYq*54%O#wetZRUud}Aj!1alzew}j<=TVZrBCz{0G(ua22!(%T<
zPJ9uwo>Y$(LBFr-$Uzo;c*u7hIi<-BMy<JA%#0{#yxAv2L-p`q%4LCTg*<r7Y;lD1
zyg2wz7FU<>>f!vS?*j@)_|OaG+;_?pSl)j&o&Q7^gV~%RX=?;<ImI|(ad3q*U#E7&
zZ`6h0lOMS)T0-bG+N)8~B#qq2F2X^0Wv{Efx0_upjI_S#4z^xd>{uV+Jp4-smFx0i
z<<E-%w>qqj$|@j3U!_{8K?fff?S}I|h$5wwaaZ!SBHE0~N0OR#kdztWCuk{-jOqMs
z=UJ37+erEE+pG>M-fiXyd@BLPPPSVvJ5}H|IZThW(M6TN<{;BiNzDFp?(DBt#l;vx
zb2MESamnEs#|@=%Kw3g}X0<x(1?I=ETk9dEw%$#ZB8wPz*Lv#~4ODVod9{m4ANx8R
zFOJB_W7I{J>UB~JM$dLJr_Ji)y>C{DuYw}dRC4UfC3Mi<E%R}^I2H0TF~`{HN;pPw
zmEkDY#ezP2Yx@T(t_SUwGC8UY{=e-DM!WP^_~z-9c7`FmGdNPpSMtvKcFnl+hyfCd
zyTVnT(BSPk@F}886|{#=;@NprG){}nx7HYei!!(_K~Wu}O&`veyBnfb#P*G?kO>Te
zukHTsxzcwF`>5`Ue{u=eJ^CDE3dMVm_piIFiMws7@0wQTn+24UChX?e7tTK2LTKUk
zHa_1wXK6?-KD(hO(*pkk0096043~E}m2ViwiL&>>vBxow&2en+jZ{dHsLX~Gl2Qu&
zkZ2eQMI}^3Nkc|u<lOd5NJNp4RLW`~@jL%M*Lz*h`>gNh^L1}rZNAw}g)S+6+20ZR
z;G))elXZ_7oU4+4W!9hpEE6mvpRDykR<T1rMBW01UOP^bFKI%0z4p}k4n5$`xvMGh
z-V(GPRa{(E*8+p1ce#Fu=|K@~|6{NLND*n_xqDFy%5%;9vz2s#Tv?Je%4r2RKYjbQ
zxl9ZAt|kSC{n3KREkFF+o?F32Csi}^OfB%*m))Q1paG1ZmPu0%*6=hbyIj{&3pgH;
zV%5CWz|I!6{TS9zw{Io=>}^eW@!Hh7)?OKcl|I!t3EIHJ1HX@}wrIeEUncaQT8dz5
z#^$MRX#=O^R5I+JQ$gtl|3_O}S*ZEL@zTcL23QmaAIyZS!+`MKU%#Wt(61A{FVe^c
zND7f;CowhnJN6-lsw)CqUQ=gZa@oM-X&z6#t19rk&RoG^h!^U;Uteu)v<9u<7#_EE
z%3x?qSDZ*?hr!b`pnJp`VhwDb{5eE{)Ukc~1>Ap$^j@)@34GRYQt11l-)jY!xzDFt
zSNVfT4YLZKyln-t$rlg31bNW6bWN6P?<Y7oSp8q<TETc#&r#VEGN5bNSmM<Gl;KAa
zpX#m#un*PnxO7nx!n|8`X#DRPwUZY&*>3_ke`2FeX{R`FXR&dPQzjUVlID^}3JG|2
zY_Gkfr6@QkiI@48d}Bn_Q$Fo&vV=<+4>tJ^3xjv$a{nFbG{edyFt~Tp0(Pf-!@^=g
z*y3K0sPf+o<FZj4IYY<-JocwQ)br;9n()%c>gpLrd*YSPJXYpl`po;y$8IhV{Nwe|
zB6@~V*4nw^c+w2y>Q^4QU0nxhT#~n<+ol=RqpQ`{Wu{=hb@QH(GBz+1>}r2N`oVZ7
z(z>DKj|r$1S>4@FVTCd_*7TEHQw-8k-Lu=ROkkUD@%&QNKO#IA^?5qJFcdWJRt%;X
z!@XBS_iC#aiIj~LrNWb+86Tf{l>Pc-1V#Cjzo$)p6F!&fVOIVVBY#u<<y~L|x-Px<
zf2qwA_fE<E<mw+~xE#CR!njF?%A7Sufl)I=$e8EB{5vCz^RbiDpV{b;rp7b;!fT2c
z4mj|;NnwaF+urc~>LEio60tQ(WA`K>MN0Qkf&s>~PTI8_12oXCY3JBFJ5H36`0nQ1
zd&BVAwnnYNo(7+J-7d1Tj1n1a@mw;VJ&bq$NlBj>2GHE|?sE3xFk#j?R4i4}$uKtK
zZ2Vws0N>AkR81`%B#dvubsghYhWg58BB5L#Dk?g*%8T|Bw*sPWZn0`$C^)&;Hyi4M
zy3V67o}9gec51sp=vfA1d;+q<EA-&b3p>k&@NU9OZ<?I8=NaQzm-W<H(1ZH+N?oy%
zPNMq2aBlLy$Bf6$B{@B9y72Vpj(1gB?L>!H1?75tF5~IvZ7~~n>OywvJ>~t5EyVq)
zu5$vz7Z|w>XQ(&2bzqNNIk&>!Mj~Ka!}_KhaYPk0yd`@<8+1j?SJjjnh{uYL`{2Ku
zgv9<WHHVb7p=Z-{!ujWQgfT@+)&6-QQE~ds`42m^pt5SZvFUy-as0FD*4CUSM1ad~
z;aAMuS$NDkR4|Q%CqvAJ&-5vgJ>-@x`cebl6wb%Kk3^!sD~2S2m4uq-{Ox1`4VZpS
zCiOca@wR2_>K1DTk;{D<#dc8P`aa&pi@T6Wb~O~PoUA39Oae<1^VDHe(58RevygcD
z(q!GVWdq@Lq1LkFry8ViEw4Tmt|cOtJ=?pBnh2+L90t$r)j)OR=MA^YT7tK2$^4*E
zD{+2rpqFmGDj0`U*!QN^5soS3z?WaziJzAW<HgujVV!zwdd0PRBD%oe$+5kYc(e2~
z+VOx2{EK&<J@~4DV0$uG1#?}*bg{s?icV#SmMNbQGHN2ywkNq6-RvRsdx}RbOqJpC
zrM*^#-OWT&kng<n(Ox1!K4z@8PzmOI%>RwwZYAc}T-_c9^$`+&A`==iN?;WDq0X$R
zoe;U*m)CLqEfIZU&-lJ86cA1~YX3a@lBh4JN-Fw0NQga%TI(V}fuOo07fx7o5q{e$
zYrC%x5pqjDrDGQrVU~T*9-)G6BD2WhXQ{;qaoeTmDXX9&D9$YXm7~8V=JiPGs=XhH
zXS2)hndu7f>+tB?(Ai$%xzxa5=9MvmqNR|TC942jv5txd-}e!$n~G(IVm}e4+)rE=
z@5_VHnQJNof8P?%wRWY!-Ot40%J!^0Q+Z$?jDBM4`i_W|*--j`{VUP1Rcnpn4LR6Q
z?z^}5#}JXcJ*??*?i3MZ?Idu#Sr&E%^`@2{7$It&_TNssFii+}d%GGg$-rRy`V%`=
zKN4C0tc{I)W(lcuTXsJK8Q57h`tMfV7;%mFhD)x>JTa0Js3>?$8tm7jxBJsiMEc>2
zg-LS12$%CB33e4ypmKVqW$?piB6WAm&+}XV5UIb#eCX?>K-fCtji~KcVmSYZdt>z?
z5i+q%=5?0@xBin^52mIFHBpODmBY(Ki1rs7(Q*l>Jmr0XWq6u+)Vc2Q*1%Pw<-#+?
zr{WSYxu$3(FJ+cs%zypt<;@B&N`?GF&X8dvtA9|B&pa``$g*+LkPU46o*Mo9B@V?k
znE^R_ei8Yv%Rh!&t%Y>H>Iu>@agh4S+EjSs4>1{8zpLvU2UsMYPW`+j2A!W11Pw?_
zgxlMlge5OGv@}JSHzkWfO6{{bO3yN}?)MSnvbVfoE8jS<M^_Ad>GDtIhE|C$b!qY~
z^8#?cZt&fkkD{P2rv0KNhZV+Bv-i9&5rWI>c-CURC|u)-&i9OB1Ky9!_1qAF){=v!
zUeTg3&PxyTNLvf>p_}auDnucA2VM6;h$w{HDj(W3!U3kKGLr6sWVoXw(UK7-3aK@{
zzLJNzVZxPSv9~}HDkH9sDOQQXr>ZMiM%H}5r+n2p<FpKzo;#;qBqIiadHiPOdV;XN
zmbFQEn>-v@T^yAw7lVBfPd52Y34s|K@7y%EB3vWg&DoM94hhZ9)Sg}uVCgCR`gMu|
z3JOJo+Qnq}ctnfk+7D4^o;pzAzo-n_$H%p`btNH0^Qn-g1sMbjj7fdEYOtx8`|B}T
zX(%r|{`XeBB+!H^B-PTWU~Z|ljXy;e{sxc5ddA5>F#XxbEs|Pr>BaB85uNgIraY%^
z7nASDzDls3tk;184wqvij}_t61xHWXdj<F~BJxh$S`Q8cSeu<%Qi8No2Jg-?->c&*
zp-S_+`Y>95vE+5NDtvxDb}Y+J8F&|iasxPMuu#RCo6W8P-Je2kk2tEr?rRrP8Loz)
zG#geeJfsbCq*S^6HtMjd_tJy=3>`d$j(U0&=)qLIOLvTg1~`VY++Ybef;RtMZJX3-
z5W9cKBt=IHbU(`-;8r$<r9cV0<XJjw@34*h%%uZ1dyIU$gN?!bN10XeoC&;#?h0uy
zUD(}du_J%IF$7f0m!2hCKva^>2RhRW=X5#lrd~DzpEE^|vM2zeS)qs6nDg(LlN2o3
zPKWXjhg5bwvI23-cIVYK`fy*p#*Z_R2D?9#eA*>!;Hc-ts3XeykY6LoHEXL6t}h~Q
z^}4KwrEwJjUrv4aZ9=L42Rg9u?svC`qb($cHmn}FuLrfwBX1=l)nV<nTJ7*<Td1((
zl<4KtgLD^C3@L>Io#%gO*L!UM=|t&*WMf_6ejVEukt_wLtT)K}9p3<7A3W_U_0xvl
z_fY+|SrF3VB6$SuHo)>sbX&fVCZy#Fo}(5m6Lj{~?ZT6`(7(eY>(K>uI9)4fcuA$3
z@%7`T()B*JAXv;=%{i(9yvGh4YmHcCXgvwwR;ykQ9%?ObNA#2+BDc0x@gg@y&nESz
zbFT+?jrzyC;uT;=w6#k?fDm?a7dZ=Tw*h^O2sN0Jfv7D(1J6&8@W!`ID(N?^VXoz|
zOftI!{GDgL7?ml8Q@fPu?`N&xEsM*QEPoQz<QAPsVke`<pP}4RM=O{f`XhIjA_&9f
zAFUlekkOINKQg=wU@895$<9NZz_y~J7`;^jyKG*$Tu=dM;9yteTh9uiO)dfx$0YE+
ziO@OajRYjy(*(&Wzld`^zhk5KOW^Xo>n*QcEurf$|7HmsBfg9U3u_unpiIsX`kb_Y
znYN6}lCSd^(=l(49sWy3E?wDQ^M&S6Ca!g8oO_(nwANw2RuviTZ9LlAznOu5Lw(VW
z;5kOF!KlLi(`4K#>(t|5W(E(~vprH578#_b2l}<nWX#@Tdy(&|Dcmpqss7lD1tTOh
zC1hx1eA&h;Joe87+B=>MuJvcbe_2sp->GDD9*XFFbJzq(RmbXXQP<&%?U8+#jma2u
zoYbKB#Ta5H(l4!h#EDyjJ6v<U$vE&%!_4rIF;v~Q>iqbR8<nffp7Q6AaiP%R{_Q_T
zkYHwIyiDQ4TYj07?tjR5XS^X^KG6s&zxPR6sSDs`zrEDb00~@8T6`O?Vgz!HJtm_G
zg1G0kr3(9k1S)4e+}Pbp2MgWjp?+aP$R|>{oBO6DO5NMY%@#_BquWJp2JaR|?f%%c
zo<36e+0f9=N{tTO4e<-(wjwA@5&IToER6%KEkbo;hLApU(QKy%39ZZmk6uxi!O<D{
z!k2dqK{RD5o?Ao|XOo<(SoCF)`prc4#c@Lr3v-N^SrNtYg0puko#b#Z@A|I=dqc?6
zJkDJ{BZfO;t)?BU<uPu{_ohEoL#T=A*;4gI9HU!U70DCwxIJ@2uDPfo1g<+%C;N?z
zIri%WC({%#topBjE4LvW%GXdS`6Yohk7f1CHY(!cn8&F;=D1Ai-^pbzDb(`iZLwsd
zV7jDapS!prsQN!rHd2$u=D3Hm+zk{I*K@V{PuCC}+KrsnJIUZiZl`gV3raZ8@g(7u
zn<3;5Txfm}Ba1Evm)@{%QAWY_S<XWVhCpH8dn2Pt4jX^B?JW^j!2;!|GKrVW_4bG@
zdq>IRWv;7U8Lw3^YQI7FpbQ-z?G*X)R6zl|3h$_1x~Ph>X+LWnBI(f6I^SB|q=318
znjI7iH5~rAaADs!I-KAA!AJU#A`&Aa>dC`uDErWATkioQFe@AHuok3Xkp4CIjv#fc
zG4`ojoi&1_7ZYoDKcQf9DXVwoggRyxyYqj&U<~dXDgOc-mGHdC!akZU6*Ib>{?pMg
zf#rEAQT0(JtSPveY;~53?=nbx|Mi)G(qNy1NsuyTmOg!Nn@7dwl{huQ1XC!k-@1b`
zrHpa4%>%|+R8-r{-TchT3>N<mWCeJtVC0{O(4inIs<M4}Kel8B{HiD7?^LN^VgBm2
z-(pm}r1|BaQHeQ}J1Oo-<xs`DZK3){uc~8T{`iuruLYd{5}--9R7L69<+X7$YPdGh
zd0vvw68Hi=1b%y|;%Ob@)u&2oSe9x2FRjoLcK_&=DcrA$c5x2J-x{f+Lg`v(H#!0M
zeWB*jc2%5Q{Z%)ht%80$X<iw{1X$fWKD9_y#RtAIYp)6@<3{&|Bu*ZH<bg9nVqa9S
zRpTIE@(2Z~Q{g37^Z~Njqvk0oDkzs%q?3405vd-}WFxi!Gw&@rIu%s#E04u>m%|EJ
zRwDK%%Nrm`)I8kumNEukyZmLlu{>5qF$N6x0Z?zbT2ApP<9ox`QMF`QWXv4zY4!x*
zx|*}5I7kWklIG`UhovxVS5dq0W`Jh_AH@EvqoBREq>gvH1adAO;Adz4k7%{=X;%RX
znk?j<(Ha*=!8u#+0s(+n8K-di4n@5F73i0>#BeP97oSQ80SP~JLl&|W(143wZmy7o
z6YblITMrR%dW_rKdQ2Yko2-H4E`svizqWX=5fI{#dH0m2JT7k4+I!eS7`G`_DGsGt
z!t(C^|IYuC#eojod2pK$YWC|jDoa{IhM^+9yD5WTmT2O4G6d0N(@51|wgpUg)QGWq
zNaMQq>UIQ&Am-TRjUAS?fE`6k!@=rOC|xKPDPb*uJj>~wlx%Yle>`U;$|s3ctmMKA
zwfuN9`-cvnlsUBes&@KtNZ|TE*R;2t<3|^v;)|l!&EUC-JI@vgGMdoW>upY8j#sN?
zu#wHcGtZMH%0?V_a?g%5HuK|RQpnBdYo?&<sM2qKP7Fm%e(2<y2%yGz+%j3p6uM8n
z{FnYw6z^AP*ZI8@!0s{mdHY)?aOioI(;in*T#gy5xwTyo?`#{T$EcaWv5(QKTR)Pp
z&2u`0txFKQ+!RKn%8Vf@kA;09j)dgQ>cn(!Axzlz=3|JBF=S4W1%?R{nn!&)=CLY-
zsq4JB2KtP^v*hGVq!0<643t!}p9o{hJ-(|shmAm(r#8xYQ3N~heu)@9E`p6&PohP5
zj3B4VOQi3&2-*cXHTG>HA$|FbU;G0)OeP0CPT?Y9!ib!}K`l|Nf4IfV)rAf__C<^c
z>XGnlsOosSq8R$>RfTr18p8ewYQ)?j<~=wokEhhcaZ=@|hIfe}tV}8!4Of%!NVxP`
z8-k3YY*4f>keSbVa$Do&MUnIJ8V~XT2~0TP{%4zpA-E}$dCIPeVlnNWqx>yNjFj>n
zFPNi&%;sDVRpxwp0Zj`5U!~CIwc*5gEe*CLbOt|Rh~asq+2jdZ8GIb_E<5`=4Peuo
z4GKrZaZw^O(WyihwGwxbf+A=@kDt`HG9V*g>w~g1ae35bmp{McOM?e)H>|oiCGg$V
z(0$EAOfJ0BxbtTh4g53Gq9SG_a7Al7i&~Kap048Jm2;;-pM3#m*B40~OjLOKHcAmk
zv$lTG^P_?3JBvlrpHdjW)9YBigMz23)BJu$(O~(?BkE6n88kU*LES)8!sZ(N7PWjD
z1RS0H_uE(&xxNPGmJ2ImK%&F+g#jA;blBwa^N1W~73PLE%_t*{zFDY7+7Q<J-YCd*
zm&e}!GMqcwRZzp@ew16VAqaX7jQn6#K&kc8ckbR&#Y;n@K^5JG&>h}KmVc;#elK0L
zngZ3(xZe5;c|DU0!n7+D?#wslv}s;lT^*yH+l=-$(V-}><;OB71uxjOuMg{0M=?%5
zU#*=+5UdoNH(5@>&o!yrh5f0hoA3Po!2<LCsK;M6@liqvg*8dWqf~TwD{?NUz!>^Y
zZQgQZ4KvT9j{Y__)4(H*d4GuACU7*1t9dX>8O1EFbKeWrz!xbu+cr{6VMl2HOs<9s
z9v`hLynRXohrGUVPfVFYdXAIdXpsuKjCI8GdurhED@iFYE6m^t@1vKMlB(!k9-cSJ
zuYqH;S!Xw%Glv(!mNFrssyKJ**zc2<smQ8f6YRXj0#02Ha7?XGMRN1d?$ck@@xx$c
ze*-iBvv+nxuzga+6b{MKU1I9^FXxTxIkbeP0c|mZ->O)^b-8{@QVp*}{_=jlmw@58
z*i6MK=Kd-TuB81_!MBn6yS~p5An;#8U{sST=Cy7(GSHxmJM+nFsLX5lEbQuP{#jK_
zI3F~t5vGKW)0g@WF>`y@&J3c6$&3E?%|1uuC>VB5>)_3^03zpVRyICko~s$w->6f-
z^jryr<V*l^=t2KBEfq8uYJBbBFOQlxSRNe81z617uC|n-jMgkCH@v6GVr0aTgKgQ&
zJYS4STNqQq{Z}`({dp#Z*Ld|g&RhhLID9lkma2qL#iiF}F}?TsXv)rl5P)+v)TTi{
z3i8YF3Xp8Yk^3^c?_nm7NCy+G)3O!unxnD2gNG=-@}y=eDgwC0W%-}&RzRz@a@-5|
zMey+Bt-r~`Og`GK>Qt^(z(U>1!cm$q-aEy!<~5TG0<?L#DRX)3(YG%&UJ%3=gWvS)
z=PV)c#i$PZJd<0wZ+c#R62NNnLYXxome82rc18FU)BoITE56(C;|oEbZvj&la3JsU
z8Glh}^eA;Nz0bynYvKdNGWS^k{e&xbZG$9U%XltrE5nP4qeScUTXV2GFuS6iD1nT$
zZ*ng$@ZeQ{=i)1l=I~ABNjN=#j0ucey-}7tXn5|o>FGK%$aB1XV_>g1{^eI-Uu(pJ
zcG)_S(Z*)LeL&IfL8utU?`iP38_0ui;kA@`u_+wj^!+%ID~gpY;cf@|c+l3Tdf1w3
z3Ng*$w6L!vyk5a#BoM-jYp)1B;<{@Blg$TcVw*{L?Xd`rZpw#hq;nsBs+hq3d*ApR
zn?+Flu~de+20vPF6nW)w-xwO5g8obL5Wyn{XN9eqTzkGD<YkhcF|;{;vNPZm!5?LG
zxg<+L+`e1qWLLEj#Na)a>m9;qmAuAW;=3SH1Jx4`Z8idtPnu(*_k?lpmjEsM2SOON
zRd8p)2p!aV%r|gl3S(@IaPfyz!g%+LY=1*I9dr);4H~{JjFU7?{x0VH4S(;S7bepo
zqal!AkRgnhWXx_`FxMfF@=oeQ71OK3mM&6fg^}avf3zS+QT$uL#TK)lnOD<0m0lW&
z;8L%kUbT-HO6f)qx-otG96kJNVVVg3t&KgD5i5=ZJISpr?KH?Q5&0U&N<y0}E53mh
z%zoFt+GrO~1Lq_onm&_*7eMntE~_N=U0&C;a|@FTyxUgOBt=nj!yVI0o>E8-c-I&s
zMT4+yT1}}9qS()(x_3{TG@fcaa@%{>0JO!~J!H;^VT~V;n7D&1`la&ZUhOh~oesY5
z6<x&9*yh}(fMGeDD!X-Otik|Fc{@YT8IkeJ{^a!GT6r|cb$P<^$N<jVOzxG`k-&pk
zC9@`50e3#Kc>U&~0Z5&+GrMXciPFIj#rvZbv86Tb7q!v=8gJ2+liZ|`&~f9i^`~Id
zy~LPruMJ@C(%=cVv(oswCzii&hZ4rBCmvb(YXBRbU)>_qD1$+IK2C*p%1FBSJZ6Id
z4Vp-pe~u)FT$T3xe&#BelYD0Vbtcz5t*OZZCh}+<!F63%OBLISUzC^j(7@q*DP!`x
zJPKS}h|eXfp@CNXMon`=Smd7#iodIXa{@PoT9(vsqmJ{gz0VAxgzLPFudgEd3!M#B
zdZmtg#<~3inY;*bF{sK`q~Oi3SJ*IxisHKZc`KuI*eFIm%+2)LNA_K%R;C(QBop=3
zC(Q^#MD#nfGL=wMZgjI)lLk`Hn$9~o8-r`T!3l!db4vP;a2054Vq|tm>Sq}fppIV=
zFkDo|(qO4Q*A8pq$)T`@vR@`J)8OUYbCtQy=nYkr7)@r6T(C%aV+xb{kJ1<_s+f4B
zAl-MbCKk*%{;gngLCU=JQbDdNhJ7w~D;Lm2(n!O^SEdL0&k#}DIn~f`p9kN{c@2~{
zF>wrww17{}2cCS`u7<WvIrekyR2({Z%PG#q5;P|a?K;n@;fnOSRD)r44878wW-LX(
z9j7gQrq|WbVS=yUsa_4;miUjZ>mp!LO6c1BMKw$ed$QqX46}c%gn7=>0hB(yqNeUs
zLpvk#`tR~8$e-OJ+!_Y(tzjMI43jHg;__ES?<=A0k5fi&4*+Zm>lC@mn0;h(q04C%
z3f}AfllP+wfW<CuBTZiw1AQHCW!zN2<fcn!1111GF-N_Uxj)U7O^<D5neH`g-!A(d
zz*b7W>*Hr-?2Oj*mUWfEMXhVvFF!GTo<7y&s-ldtIx5pgG9*!eZ{LRGZh$wM6@5!?
zN~oQL-wb%j*d`nl`}_&O?ykMhn<6P_pl|<1rb-mMe6Nf*od@`t|LaO-jw0%MJeOiC
z5<&N`rz@>oncwq&_oBQ|z-!0$21*VIVW)qFOpz2*$0S!YYv0S`Ove`+Z)ZW2Szes@
z@SK2w8*jN!u*f4xeI4Il9)7e5mhh?4BS4{A_VzPZS#(Tyy_h}CgTw0FW5#zZ;o5lL
zGpLrvxKH5@5w_fDANTy$E@4YJ6j#g5Z!Cqwp31wN*}0HywqvG?dA>g~vz^~FdrtPO
z!p9&*PE@2>p5>Y}2T%1|T93oY7`DAmTP1@79Xr(7wYHhVGbVUHS&Jj5&q$A%8wXZD
z3+dK;VFv2;Z>i2|Vz{S`zCq5N0~0LXNVKb)!BT+U1qZ4qChrwLD3!^9sUf!`^O(Kh
z@Q|y0C)20@q<lIRB*2L;Z*N-E=Qf3VK|4*)$BJP0^>TqNWt<pCt9~~eWdhvh%QwCa
z2;<Slf@eQsxv=SXM9tD~W2VM3bnG02@y_|4ufY-AsP8?L@G`_0rq>-_=<O52t4ni*
z-B)-p<Gxlw`kWDTw??!)J0*l2UX10DE?x{68}>~)VFU&2*~MfNA#}gt-Ad77^0aPs
zVseEJ@5{ALDDw*;-HMCUa8Cez?QchoCemTNIm1$7Nf7H?-W9&MEr`mT4_}nX(4qel
z_f4y1K@1M4mS#i=;g0mU^;gRbfmKq%at%ocuMbMbl?4i;c+ob$*G`5||K_xAKM0}W
z%0UA$e-WIih%bG@^!XgARGQlvA$;-q1U>R336I`sIB_<U2IY==liF{EuwMCH{dHy!
z$g>mIe6WcIYkCv-sMf;xKL7v#|Njh^cQ}@B6vyqo_ulI@-}klWdmG7)P-Y=A%ZOB3
zvQ;$jlNE_n8Y<bILsT-0va<IoBb)m9_qm_zzRrEFbA7(&Gdq>%iu=L?Z>HaGr0lCA
zAM5%#S>OPBR|eBXRz3(jb&Kn9l`4ASL<HfZoFJyLFPP=e50V{MEJCiRqRSx?-W*$;
zpwBtH-P0=ojW-(%63tbSZIjbi{x@8pFcGyS;3@?4)9kPBim0LoeO2#{T<3=T@8NOf
zYr;T*{~BVlPejKxr<=RHc;MOLk6OhAqG0lAm@;shhzLAK+TS?y!W!d}pV=ER$P*rV
zF+M;<%UVgwyWV^d5>?0gHCG%)l>b52AQAC?%kH=z%MVHBDx+2RBp`_<Z1CP35t)-X
zR1GQxAn$Nm#73$l1Y1uu^ir!Ls=pPDvHt|2?B63FwlpcYz4j~gDnS)R?j_1Ra~6it
z>OJ7jm4=IdD)w{EsG@lZ{e_HX5zzmb(3nsn1A@R-k7^G3Q{*@>E+z(j5nF2(Z)Jh>
zNIb+-Pz?n&<1Bfn#UQazBq^&(4!p%KEq0}-A&x<3J^nIrkVTYQ<P|tz%$PVP%cG8j
zWCa(EuS<XqF2>HKSRPgwST~=SsiUhRFRat;Bw<8XM|U_{0Y2Nup49c!Kvi!W|0|J@
zg1jk*SbbwfkiGI%LQzT+u?05Nzgw1q^hLqQ_6bE;%xPj(+tx%HHm#&PmC_)6<T=M@
zHzhC|=qR%t)<SIJIaxL5W#Gx1^}L5qlz>v~S@ioZZS<_4ChwfAEX;j+m~g6I39gs%
z<bG+>LB=43Z~G_<;%PPe_#7ozv=42S@6bhamvb(4+seVnm_TT;z7pW&K6ZcX)I)Pz
z#oo0I2k%GkrmPDT;jW$K1Ew~8bX|2@jD-gWpH>tdmOm*#UQxD~Oq~I0eI<SIy9Ev$
zn)f4{-pPX>AEE0|E(wi1413h=jss58yxQ3_IKb{TX&sCqQky$WRcws|$0KPxE!(mX
zcOnkgkc`mM?TyTFejFGpQRZJeB?C1C8k*#92sIQ?#7TdU15%yP*9+xR;2t)@n@n$r
z)Zzu1SuEw?PlVJ*g<T2YTXgK@Q!zv~F5z49?_@#eShmO#NgS>{l9y36Hbkr=mmK@Z
zWx?Q5i*%ZhDBzP{+MG2tMAm00<vFxuV1aj|hH^v@C@*}n9Mv{NE9EZtk*hSAk7hiz
z{lN!yS8lVBiyESZ%PC?MAyP29T5Y?)%mdNqKCLEhB1DlY(6)6+5|q!#wMXCPgp*6I
zjJC}Pt?PPl<sQrl{d=}`U1xU4y?H#2aPZ!yftGmwIPrtN*#CBzWPvQL-SR(&5nANY
z7*x3>1}e@h|DL>H1U_epYCST9=ry|?j}S#c|C)4S7A-xPnJ;$j`H@g^jr!J2cVS?&
zFC2R?O9QDqa><*m2FQg+tvEAJ5N?e+?|2@fhTpQcvJw;wkamhq@a`5rkV<^HN7$)g
zCv2xOAW0utrL)M`2J->><0Cn4NC{<L8MJgWddP3W^P2}HFL-_+Jt=9S0Ng#c`lv&C
zs9B}e-0(d&oOqIOSuc+Q64eIW3X61+Ygh5lz(g+S?C;MgE2jY8Tg?GDI$h*l`#5pv
zA}1`S>bsfIQUWG#A#vx74k`$W%)lpefC-)H&ZV1_pvza%pz}i;=?d{Ly{lx0WKETm
zySh|xmqEur!blr!Jgh2@qhg1)K9h`MPHJ#a;mM48qlKRBuE^yCu>tWzm_sNF4J15F
z4Z0$uh3>CC=fXx<;in>FzAcUxuAjE;E6meGJj%8U-U6)PBsx(g=0ykfRysSJf|^L{
zjFazfJPW-1SJiT}f*uG<3+*e}8Yp>tt29)S1)}F2Em!0i;i}|-tCzS2dKRPAFt)@D
zS1TmG+Pr6i2ZQ4&x1XycE*I<2tVw3L2n{FYJy@WjjlScdjyj5Se`GB~!vcb3v8os+
z8*EYQoonq-Llmz~q;2h3z;&D|qnm~uJhB^!7Jh1Iw{^o^x|s!7i!YYQF>pX7b@YuB
zv}%ay=V;i52P+gClEuCg;e<3yl*zGF6)A)p&B}AI0sEVrve-jhu&Din5Pw`1aV|M#
zCMU2#Lombb@@w1>dH-I?ae7rWE$Yyi&&CeC3UZYG9Xw!1SEXRkNJQ2?J#SN9umgWI
zi(xI15A+Gf2)jW<zf}N8K)1j5{@yyl0gnW44b{Bhhtp4gP@S_RqDMkWbTg8iFo3l8
z9FZVolR9^)g^B3NT<6{OeNMQ{3Zv!=LSRE{SEaK>K$$X%9DGY$;D@vJ=6WRp*92PZ
z7lsJv$!+0hr7PSpWB0~m@sJoWnLYPo=p-N~>la}(OuR7Hu%7)0i9?fbdSqc60UaX^
zPkZX|L6jzSy7plSs1G`8JkU!((L%XWy*Kz_Ph92Dn3E*f?5=mut`Ja8ze$VvhydhQ
z^7}f4OF;rvcDA4p5zSw`WN^$*2y&I_S%3T|4S6)@Ra%b|(e<UK0KGn8;D2Q)x(YH-
z#+$Nqw3vv<UfRun3KNA+2EHG+7iEE1S2jg?&`&K{O_A(WF<4S_bf`bzWymY)Q=HMN
z$RhRW!0j{Q&~16Vwnj%D;`Z=av8-yyI(O3Wv7H25mwb7w@2CQZU4LrLT&{)!_B{uB
zwIyM$etRj#Nf9>VcB|Jz)lpeSq0duEDM;gX74k4q0_C><#{L}AKuw_kp8%6IG~(5c
z1+XZChsUN8BVH3V^=jt5_$>{?;hrs|m&$NLf3N0*vKC7D_A)8xiwwLLA$nX9Q~?2#
zA8En{+UWi<hKQa2WZ_%8fQ+t<3Z$8|nFYG)An$OewO96Xz~afdo=Z}J;=-BolhL|}
zm*%tGhb=ictM`I8VqO{OKHJ&}J<~&>0o8j^H*gThZgi-}QW<DQ?%dn$&_@X+U&_ud
z;$T_R(>CLj5-dyGat+QJpebTRU_DVD1hcRkZ`Bmx?OOWq<z*5I9hN=gc2piLt)i8k
zo8{s3Ik(BEV1%v|(9R=sdD!`@JM~@!2NM3fSGao-V%EuROy`k@{DD8_*R5p1rpH|W
zzM>(T=1N~~uf_rEZLTzBH)*(5q!_J#))0l9I&!R769<;m@gI5JB*EV=D?~Nh5Pfl3
z3Sqq?2gS@sGA_7?gTXR7b>^)hx@GX%k>ax~oaCI05@`{E7V_AC&npbk;K_i&Lz6N<
zIfp(sFbYC`N#wKRPYsd4hd?j+d1+w6j@}7R<pmRMyFtffL)1;lFJU|)1%bUP@)Mq1
zAPZ_~18xWT^5d_$WQ!yuQgS(cxycUL`;}^4NkjCDvteBFg#;MaH=KMW!2&Nj%8I^>
zAoMQO;lBDEap*bDOvss{heg9!@Aqj4S-{DB?7SGzQ#VKEy3oL1@5lEyjS;GB@*U<q
zsQUuz?Iy=aN;u59Wt==rLUqR}{H|09L2`cYmc24Lq|Fa0h~r5}hsNXPs}BMoStNgc
zVDvABbZ^hGUNb<eKzML|fe%)=rQ%+>?qN8iv3`wqeMG(=&wEXk7q+%zYiVEZU}0Cy
z^caNn(T$)ZaZ$P45IdT#9bCPQ-F>F#R~V#+s#~t_o5^zlw{iH$yw5hKXfW9I71KrM
zIHu*f1~|ZM_DFbe<~COI=y9n$k1mS#k$Zo+lpU5P>4SLmcQBcdg-1LgI;dA+b+bI5
z4Mf6-77|9gSP>^?I@GR>p0b`lZx+Z3m4|}gk7e#*f+HyKrHVF+Tok;v*v$+%zB5i&
z)c;~#`fuW%rfZ=9sV~zJ7ns1Y;^(j%EgAT7So%!-(?sID6QVPYjL;HoNHxGh4pIVX
zDFJ6S(O!UPorymK>?iaKcPdkWDa&%K#h3=_6g@)m;uSqu_B<5Dd?<leRpC&IlLn$Y
zqoNxiLk|_k9PL|gsDRUkN8YGM9ewu^$s}u~1LI54;ZZy^aFbUuAi_Z%G5IH%YGu=b
zeo<@X@Euxs)>&q++pmVSc9{dE(&^y%ze-nqNqV421fNnbH6)}nlPX(52XpM>9TJ@k
z;9Do?HnXgXaxp3Djem5o8!?EF%3uP$f_=mhtBOPq`DSIDrH5yH$|iA9EU@^J_MWTI
z!JeEbLFGlk05ZSnmb?%fw7&|A*{vd?YPW4U@)`z67<|lh)qx$jJbwAByAx5lXWi9+
zOh(9jJi414#Q_qtPwkv(h{$caEonH52?jrHadA{|La{j4r{;13N^N^{d7_aSWKYYu
z6w`5oq<c;GTp$5m>nR^4v9p5JUAD}jP#$>9@<;hFj(}nx(=uN&KFD_)?m^Q(yfFVx
zJ}>+i9(nlI7(U=&hl?fic_;4j!wt8XD6v{RI;W^K{%nICLY*|3uUiO$HWklN&ii=u
zxVttYV3`Aw7sYRX6BCBbF}et1I377}+&+;-#s%K*1b+~@MPcHeq5lmJJklopY}%3K
z2C0fK#~ITOxGs`ABj=1qSN%J@4SabZ;kAHid8s%w2o1@cJ&8w?s|nqE^}LXz>Ljh!
zBLTWDhsf#<?l-RNYAsOVhg(xOj=rUrf;SQN9tBwk^_<`2ajp`8mj2_9yDX(4Ia=^Y
z(>FZ2a4NNO<G{y;pM^?a$&`T(Ht%<nA_OEn{s}k8BLc)yXOF>y+~IxH-P?MdfR<Bq
z-geK5f<eRBgwP=zWPIa`*V`c=GWwtwyE9@3bSW<O%#nwMUe=F;w}|LONl67vih~K0
zxMJ?20^ID6*Wl1mMG~i!;rr}?k2ySg9j|=AXZpuEQxs}w(Nm?lX+;vIRw({uIUjJ|
z5nKB*qlRvDf#CT)DcIxc%hvQ(f!?mKv0=07=q&4wkSw(fsCR8<E{Nm7?QRF*E~O^A
zuTA0VPb&-Y8+U1I&g0>F6^~e{h87C+5KUM5D+>&1shaH1@nDtCME>iFHcEFf3>lh`
zgU<YhkijZE7;PlYu=MC4=_}9V<KN&Q`X*oLKpq~(U88iJh<fNQSp4DgmWQ?JZXUkl
zcrbBr*KEI|kA`KDRpF{Ugf(x*6g8><?~}UW%hLwPP?dJG!$|>HKhrxtzpM<;wI%ib
zav>C}w`j_9PXXS<WawLrD?%=h1sVBMgqU=^2`bqN;2FIawzz-beObp8X%!5S1w&G`
zO_&1QB8$HCeMk<n{PZ3t{%43Nqk=?^^C|%G6o0b9eHmExNuJ+aFhrW)gJz~~%0t?!
zv&d__6g0&1UtN?jLOE$1-lT3Ec-J2-aA*++rg`dgWiummRJyXAe^m}vYm#(ph7NKk
zHK@1H)(8o{iS4ubB?}`rs<~o31t5sx6{m!e5qi0vefmm=3@Ec!7k$v+fnQCV^>|Su
z#4#&KD1IOf)0c(**#~m~O)z@=VcrnEoGv`ueoP8hf9MwIDzX4PIPbId#1IW#9XR}y
zNfMl3b2;E79qgG0&<r~pBC{~_ZO;aAa57W%eSMx1Dy?@@EGP|8GC?WP=aLw7E$V&`
z>H3RloTzHSiV<q0yfL10K?L66kJ@FKZDAkNGQPQ+B4qC@yjIRF1Q3+VETXc8sTPc;
zG<+hV%OS=k6JPm3nOBV5{_QWU`dq~~D{>O5C^*dQS;h-)i{!NTbmlO=!G2Pxt^s<~
zIAKp#!3`(hJa{i$Foj+2Rw#NGsgDF=l9B5qCzzYX%QI$8U=ilW{c#m~sH3TWky?iX
z*qI!81xLrRUV`?`gdJVv6YwYwD%e0)p7~vh#so&FjVm-V(nY=faq*T_ETHx^o7&NT
z5)1udY?qUwgQmJ0W1reE!Q|RPdb8Cu=EAN{_jW`Z8Q(9#DJU{Pr+8l%N8K!D^3Lw|
zZFOxFb-k~7*_sYIiqqHc=PqEpD{7gNceK#!Y_H7WS2UnNi+{G?`wLt8#wg<bTN91G
zc-sHbni|Rz%97fYR<M<yE+4h+HPL6*uiQ5!sUX|p<BTE88g`3yefM^a2KtqQt*a|h
zLc`A0)NAzXSd&M{j)j~Cs((rRkHwb)^2$uw{De0#)xr*G_Xp}|WTH8~xSbsIz6E-o
zFyF=s40dPVvZy2S3n!f>+{t0wqv$YY$}X1mTgcofQ4QIC3dE?m$-!E}b&g?aAKMTb
zIP#BL4V^k!wD4q^3{t*4;!IQ{g9Z8spXmfuG}Te|?ei}(sHk}>S$%^XnBRUZ-DFlp
zXOm&AfteiktgfAvn4kc$9-XsVnMBmrsYY*UMGo0X_&!c2DsUkbX1|poB9@GE)R9lg
z!L8-c59vv25QC@Tm#PS8v|pvLOo{?JbrTkqlWC!CAo*yKEdiOjb=B9_QGk+>?OS9`
z4^cFB1rCb`ytR$YeGyIxr|79>ALALpFtUf~%`H5#D)7>nH>U!Ihy4_Tn#>R!$8n$w
zc*Lh>5i4Ur4T(7ujp?UZA+WUZ`O``j^jh-Tch93Vz_oaj&TW(pK1;WT+w-X)wl7)~
zlL@r&-=p7#a?%_SDVV?gFh&_^o+9(m8Kr}!k%VI{F`O{M$Z8nAtAwaFK5MACGr&?|
z(1X)|xu87WF>>s>60+`=_Z=o<0^4XxQ2LJtQaN7cC~zww)`I-LEA7m%Vj$6GX3GZ;
z-(Otos!~Kl&p+T2n^}RUj~v&fAOOon+rsxk6w%mAkNviFHqepuU#U<K0*d&Z=1aPY
zXin)Fxw<$9#5dW=RoIEZ7m{MqypSS_Q<>OvJ<SRCr(59u5izKPm5N+mMdTCrh%Ngg
z7rb}ACvY}d92_T8HOiG05k7>MQ^S}CvgR*IMfOX;#QxTmS|3G}_>eSiHpB~?`n3TD
zdQ$KfS7%cS2mec`w7p8_haBsCw%29Spn?mLnl)BJYs>|D^Fe~JW^z1ZMpG6FdGG#I
z{iB3l|NgYK;Ux@rqC_nATIGQD%3;^MAIfMzHa`>>DGHPHtz)145BB{zhvV+cD(HNn
zCC^^B7`#6mg~}Ke;iTv+xn&_9G2cEM<Fzdg|E|YJ2R>7R6s|Lpw7~?le~LV}3nvMu
zYemU>^i)6z?Va;H*k`KhhU^l(q~H?6x#R^`Jk-Rk#J>(!MXw41M`j;N1B{4Kl4uFQ
z_f6vR(PB09*Z&ry^N<XXUl0l4eLw)qLrFD9$utnBTIzp#+;X7tu!a6VdLpn~?R&r+
zrHNF6nj3Zy4p=^1)2Xl}f>XNA$Pl|WdKkX)P0(2$dLk1Y`c4z!v!adnWStILNW4{d
z!%+cz``9<n9U_9=1*?p`2t8!rAL87sqzDSb(hlP@1aPYDo%*e8fE<ooeq7M62o{+?
z_4%y`Kz_^g@Si~va_-Onn`oy5-58y|$vHeUmZz%JR3Ma^Aef+*ssz8w7sO?ol;M2w
zZ%VcUKccR-WF(|0!BFt2CpLzPaKrWRgM9`gbkQZ9?1+^T<es&u;S0w>dmt&MG06zE
zN)z@bTNL5jSck=n^D=O&H_^dx#t2znKc(1DuLxIboT=BnCBaKJ(@|T(7?tX)IRvvS
zz`$+hUve&Dz?f#WYNBh5I>gPR$7gWR^RIH=WJmzwC2>v#YQ~5@(!HcVT@LP>ChtWA
zal=six>-BBG0H4G{o;$1ETnO5?|;6^2A4Mdl{kBi(BIc07f$9$gGk-Z)^AHXaQ`DZ
z&2dmCu2@xPiBSq(@8mi3ej|gZHv&&w6^&4v_RVm*^AhlLD5m<R=sJeJ%tnhg8={~p
zB1vab40h?WdAC}pur*_r3zWwV5%YecQ)!h5Fa^An)YtupO)<`t&`%*$zns9_-y#Sl
zLT);L8e2*Aap(B%gd#NYq&%aDj30V-+MN1SM@h%Fa_MUJNT|@SG%@lN5A;Y<QK{8T
zleXHoor3sDNXDD-+?#by*r?43%qLqQiEtNq&FC1Q(grU-sw#E>ypOHGxh2w^6$xp3
z>7)F-RvSN8R`~GmZo-G~U!+KP|3ho3dPrs3B(%4P5gd0jYmmz?QfO&fsZEnEqSTqr
z-#W-6t;Q#5bb(8xt=0$p=Kpk%UAS3}>Je&KGW9Mr8($zDqjNu5jdYNx;&6t*V+vq&
zU*-^6o+H`6t`7E2)J9C!sXyvW$pA+-l{8sBL-M%Jn)vs-779&EkRJBj!zgIFJ`{OO
zkuG)kmgwQMP;1=iqs7WCOv&Q(8QZOKl7vywp`K_>l!#|P5gxye@gyr)uiP6Yb;LaR
zdv!zu%_Gsj)%B|wtKN0`YZrf#B4&G6cMUbrN>!9{$+2Y&I@M;`_IgPx5w1kGr|M|n
zm+b3?ghfnMOj_knMK?*|?BK(AE_Kv9|Gxdj_AK_!Mh0p5bdn}EdZSfh)zGyU`Ud$c
zQ<#>0Ua!aCCsO8Q*wV<RDq_E=ak%Z|1g7E7cKLTFkj%+HNQWM9;ANZF6otkZX3xeW
z?R4QCiTVjI8O#%rH-jt5xN{i$Bzle{?VL}ljZi;U>Q6+ol4U~M-v%+oueE*+1IZX~
z@T+9LMFN^rp8A!1svj#&W$|_hFU1%h`ijkk5>PyO$m)1-FD7=Ov^wxsC06Yc>`k?M
z;04D;KIzSU$I4~)g}!PwV1+_Saz_*J=(X%Raiy^bdv{4EZ=CESws}eJRt*mxo%Sxp
zo2+(YVw&sAVXwbnJAKiGjz?9{m-q`Z8fUvPi;t&Mt~qvMRo5#o^ITCzif-?IIH`1F
zEi92G7yo_5T!Q^6@4Zk$3yqncB?sSQeH(VayZ2z-R#g^{CKM4P)%P2I0o~Z@U<~b{
z_8*w<=mSbgQAKnmO_-bJXE#Rs6J?k<_G5mE|3X$yDxi{)n;m=6Jy@FWNO17}ASQf=
z(r2+q9tE0+@He=8$4oUvGgI4#u^%}{P5&(8&}y2&*bAQ@SPUmic>nY$wr%%Rcmd(i
zd|AHA#-m=$KFxhZEM^=tV|o7kUAi3F30w2Z;_S!Pj&y!yM3Y#`SY?97Z&}1wJ2c`^
zHGr{HyUy82Ok-J1b7oG~vgmU5Ap5tBpO^}T_VAkWEXD)X)s(Mg(DGqiuI8&@Y)D48
z%`b2s``LY8RGL=?^`#g&9Elml{z|>izB9Cl-7M{md45A0T_t*D{OTIRMl!35dT##4
zEZb(Jl2)Y<A?TZ^webWtsPm~m+h7H|o9VXv_Ouitfz|WUp-JpqL%V+Y&sA)$vrJ58
zL=yEmWg9gWPGgILS|cHk|6snKhxdnFC6V&;sL{_4X0fpkM2^U;4Xm&AOUuMh2^72(
zo)g(LkJV}w?aqJL!k&?ik0UP$1krx};<zQOL!H{^g3K;fnK&WExG0X&*Sdo%+kaz}
zGPe@FKJR0n?zR<pUJ^&QBX7qAyRBe)M|!8soyb5r;7(aEvp8ztj?viLTE*VWoR&Gh
zMh;e+l+nROVyG_cN@y<p!MsYm5>u)up}ags`Gt`f+Naw2K31`Tc{uvi-Frn1;bB?I
z+^wSM=$lO89}`;`=ai?(<pElV5zF{PD=dn}t7`4pEOxQy-$dfaNDOcxLR35OvIvs;
zrW0JVypM?mc?=ItF~MQ40n_GrVWjx`-Br6_GDu3&ZRF`@g>w$ku;VX`jwBIPA2L&b
z>MP~t6AA3_+t2i|*PalPIzyJ?-b)F7h}Yq;Ehi8XFWC)07DDnP_uMJIQbX2N<3ukr
zZph1crLu8a2;IF$G4B137KXojyHJPo!m#7rv|Upn)JoM8Tj$FF_uSqRpZD?u@n>xa
z-s0eXEAHX~R%UQ~pAi2uQV5K70(jTY3n8(L2cNh1SiyYrc_E#%DCjAkVA<;tLKsEq
z;${{*keO)NJRylgPce^p%o$<i@b$tGe-BRhWMaw8w<!VF*UojOT8f}m@*UH4J8sae
zwOZutkpf*$&a(=aMN!5;{L|bpUg-ZvX3x?q0~>xHoUIbXP;Zip7Ed!joKTTzboeI+
z>%zY7ddcGG*(rCuBugQP6C38rvQPlCt$M@RE(zp7b9CQ~Rur;k8n;frQ-Wt}o*h94
z^T|(&2vFY>g9`N_>q-GU<lXw4565KCpY52o$0-ufc{XC_j3)sa6VH!ny_7?BX(>-O
zwGQ&MzrwY?m<Uf57yarlD4@}wIjrTI(vTtjsy2O86>gPwu|EW5RK4SL=4SJOw~j`e
zs!*uI%VF}O^QHtOtgA}c$-+U(#8p1=J@te0GTO=m-Ws%-$g!SPfJh3<;kH^0xIkh&
zBHpi#JpB5PTM?DOjej!LnV<;+mu4s{E@>g5H*ZZk`;@`{N1V3JVND2ro+)_6R2Q)?
z+0yvS;X$lBd->xp4PY;>6=Rb#Kq{5qR+de8DBfD-XA;%`DPQtmX*UoGJRGOyu1SDx
ze(6AgPBk!=<E(f(a^SgsA$bcI31HOJa_kDDDwwm|rJWKqMz$?J{6g^rP<Xj&F))sY
zdh5dvIb}^y<no5#b0-35y}ZYGb4U>)Mm`4NHcimgUtKPzSMcykU&Q4{t}Fz&oy(|>
zJ%lWH7ROBO@$e<oN?+AN0{#a80RR6Cmv=aoeHh2djDv$?%O2-&taFY%p0CxAc2Xe}
zmBO0}A??zXqNt3rNy7>eGAk>oR3c?0BO@at-t+H$J=gEKujjdcpU?e$EF<J#-)xU#
z4Hs2b@#|HV+}iYSgPm-pUvhQ#>2`Y<boMk#OY2mMWvz}nR6wq5poiwVW!i)1Wi{i+
zfL3Mk?JS$BT^yCZvRmT<*4l$C{;1$sB(>7yJ@rw@_lAmY-Sa<P8trgiLwrs|UZe6K
z8e^`#oFwKOqJB9U*&&NjXvmeKTG{2O$aR~-joni!Cyk?R@zmGsJDH(enHh1^X-AA8
za@Lrd{28=?lf-2w?(7wnm(EdbAI6X&bf32Sn5_+JN4^+rqRCXgmAy&oxFH5#pTAZe
z_pPzYqTW&WH>J|v%{PVlOB}Di)TpQMSVJ_O+h~4?Tp2hpDkV@sftlb+LG>d*-LpND
zt7-%)-JWRtwPQ*k;x5nQ{5ArsH@s0ApmA4P?DV6JdPrcWt99OnHY?zt@e7X~3l*{l
zg*mqGlEA0;r5z@{mXNOVEtI)DUePZ+kZ{^k0$In4(&;>w*j~7%JaP56iV=F~zg!ag
z{Li;O*0L;cNPms^we%dq-@V30u$_WuLVUZD1I*#J;a7Xq{_n)GPWLZzX%tih9^egq
zZiY<XnuK@zMu{~)B}aCJQ!qHQ)muy04CPHWQ@IOMgtqOvxNI*9o{}?)N)MXCqKVcX
znm$kLFN~JIx{HEv>-_be?@X}VSHyg24+s3VDqN5DqrkqnDKOaD1ZJcIRvSx~L2u@f
z;*Dqu^1VdlP8A#D-sb8U%^q&(9BCJ;Yo*}mS6(qiV`Gqygvyom^1{O1)k}~jfdJ?J
zBa$zSU}|~f=lNIs$Vqg0IeJF|<EKsc**X}Z@QTrGyW0X-x~pg1tR@N1l(NJ3x(rch
ze6ft*iG=iBZHry6C2{$*!d|UVLwGiti4%gta8XwXwz(t)M{~~i<Q0av`8&~}tXu?r
zJF0i`?~z8XhmpwHdKR`VsBQLoPDWGsS|^6H444y9v9Cf{knugWUgC}@Ft=Sb-&+<+
zDf3<CEEYJYhxy{d#jtCCr@?_pIq01`@8~eYMCx*C))yafNWawYlWUcS$;WQ@qt#3}
zbDSNHai_o{I_c(K9R<7#C~jMKhly!pHI6mx`B4AKuT_w&h<6V@#)gM5k@@6blZ~Gw
z<c+fJC~-=N_$e3o!i$M>3SQy2BBW6JtlDzr0cA|KWT}02VM0dQWx3Q-X>h)=Etg%T
zf*{+BJ2~!5_Iw33@AxT$Jy|6-fjX)nDVQ*n1DLox7_yY2BL|IQXI77#8qzANLTERb
zn29S~)^|o89|~@5zDiby^h$<8X(babCwV_+_OE~+xs#;2Tmy4~^k;P(EXY6hD__1{
z5x<o}-hEi6iIT>qIr?T6II8#VdV4?#Vq)r*HglRd*)BxOEo9-_7G~9RU1hxf>l*&w
z5Eb9MzwRE;HpKN#?^D6k%DANY?p%E<4KH2(sA?1%qPf&}aCfB&YOg-pubQa^Zp(V3
zy_<}{yYOaR_+?dGuG#daW4|^GKTePgIgIhTl*!|>Sq+{1Suuk`bg1_&jmB0Q!z5)c
z!&gEba^_P9<ZsZCxMqXWOq2;8>t|gKeX9<Kax!VlFdYL8;WtSCnIfQ3I>qXg2KIc(
zy4fzHgH;!wcztm;L;voKD5kO|M&GBBN+>$)Ip67?v&tOjQmPlrpJ-y_aHfpGXF3*4
zD=jq5ERft${c$Umio3pDmw3GC(3IX%yidy#Gjvj8QUn!e+%J!G6lueQE_TU4+zL6j
zTHABpP+_{WYWtBkEp$|!b)k=1fwi;2Q*xAw-V)P}l2RJRb{d9il@Q44c3rLghl)qr
z0<S&`qCz?-&CS#Z*ys}XQ|KcV1*4^_SCTZ5nf7Mk%o!k_d7-pEmI{xMi0~)p)nU};
zuQFT#l$*8NZZM@nI6Lx?)QBqhCHoV?Mu48FLpCSNG!by~*4R%+74QV7Rx}D&qfN|6
zm_tnyU*`s$jh-kW|G5HFP}&+U6_<?Fk7&To>_KX<nF4wo;&pl@tT8^m>qpfib-0)K
z-u`GQ2g-~2;Q!cM?GLW{xY(|SdGBQ3?SaxzYTuS9J^)C*KCw}GS`{|?buI)CN}#Il
zbisahpUU<<vOXkLi05xH*_|Se;l<Jd`D=i*R_fzE1r?kQ`jBUyA_`Xlhr*7{K-HmN
zJUa}O5&rz41^)*TFctG{EX4rflCTctRZ0-8xFD!AN<xua?oIzY1Wx+Ny1UjXAoVei
z-_A$@u)0=Xr1KHTOBjnD6j_0CM!w(6EPjM^gna$;pB1_{DM*j`%RyjNGJ#>thb=RQ
zCbK_S;ySDT;MIN^)Q{JDcWU#3_laa=uc;;4=Sxouhe%^4EbIQjaUQ%KlC~d6umICh
zR$h=Qg|%lNT<lZi!IAV68D+~X;4P_^9XKh0Xyy8kN`gH2cjwU)10Qpw^DYdRbWt#H
z!<5=?$ODT~_x8b7Gu)YMpnT{Thh^w2YjYeAj4p_*+HYwF%7zsO{7B-kTPCeO$?k_S
zw$LM-V~W6zuY*6=i-99Ax72Wm7ol&2>3RyL`0F`-KJ1YwGCBJ<+-v1Sm2~p3K#U1u
z9}cxyYl`A~#b`}R2S1cK`zAgMnIQRD%SQWBGUS?aX7YIjV7~PJYtt2DbQqmvUE5Cv
z_HRDIu}Kic62>eEVPn_{8%SyDl5zT$PC-x!2{p?M<~w7IAo9C9R#%V=(tj~c>4Y%q
z3A<)zB_sIp4joJXCjx_<p5aG5A{baa^}O(@A!h28YF+us@bd_nBDaw-!5#lyZzY>2
zthdU#nq=%K;hR{j7KP#77!IEAY%aZ{nAPtjqxHhRx2tN!5V&D#AnY^?zIk7>YLm$@
z@A7`0*Dj8`jFW$RHCeC{9=hJUNJg+kJV{}Jf^;Td?7jC)F#Cs3&HIa@te!Fx$dp9O
z`NQRW7uozDOUqoC5XJFTsiD~?q>#EH;cAi%6LDdjG831@AR_4Onc5|dT7Lg81Kdnl
zMTuF?8Hr=z?Snd#t+L2@IM)=~!obb-Uaqz?;&>OVQYPCihwB_F&P&M*s81w`@-|ZN
zFLvhUn=>mQqB9xJI>kU`ZAavZLJ8Px<lKD5LJ_`Udpt(=F_7GO@Jw&MBuMUGk6yo^
zgcR9=r(!M)bS_W!@vN7^q27ai%R-gezWg4Xypw^w>9z7aW724GPH^HnrULEkuI9(=
zbCQ(Yb{Ff&;sovV%lMP3@U^Seb2-ZZwV>Bi=ad{8E`{9ky{?9Lp7h`Cj~VFAB>iaW
zmxtK_*Sc$I>S)^~w9RFRfoG?GxMz4Mpn%kT;ar6VepS@=OPMjz_|(tJX;={>+Z=nf
zzG&i@&Zv@JJQK<F8{bS;E8+ZXocjH7Ds=Ug0`7~k;9^HFKM<#ktKHkZEjhK&bFFBU
znaG0Nf};Gd02PFFaYWqY(uUfrt|bq`5XGOD&hK5XicXF(o&P4ZVe(#Lo58dpq~>o(
z`D&|SpHEfVd>tJ^84dBuRYq_%p7|lltB#3<M<IP7I=EY4R?nGijBOjr#5p_EVYB|>
z&15cJG(`?be2O-KL!qK~c)A8$vMhTVTy=5v!0X~SF{YRkFx?mIrHQuJs;$>f=%U%J
z@d4$583sy1Ze)_FII=>dk-A407n%D_1q#ez8TZPuB%O+KnQ6;oyt;_7vYa+}Wq}FZ
zslWfJ(BPHzZ7E={4qkO~YaVI0#N^S=oBbzg=(N35ckL`4wy|q2@9bc6sdLDpn(c}0
z>-f^SJhf4HAo<6kCIUs?7O(u<Xzab|M^+oR7KElEDa~7e-9^7^Y-?%Qs@R_&8B9fh
z_~Z@b0oPYh-#(3^!8hLM*7s@+JWFaH7+zv?_+ES88Y3F6aWkfdr_|u_-eY8^xitp+
z>o(REQDHnVK6qSK6}QXQMK<rT#)pNKN<&gqbVP^HO{|n*T1GvzI>Z|5zn<IewNn%I
zC)2#jKP%w*Ecr>$ackWBv~KH-v+VZ;AK&BdDTjp%+@Iq7tzjJzJG?qh9VQa%RsN_-
z!_FZ$(`A!2SfT>q@d;`exwEaIO-BM9>o2C~YFH!Djw>l4j@?I+DqS=}3@IPu^&X7@
zH$Jn@Ye%XeJ#f{lawZw)ub#Z-o(mkFYT5qgj52nOIdlHqPr@r&1hwJ-kh0^!+w-AH
zn0}aTVk*2G@4t`4-cn%Kb9>rej4Qw-sC%MtJuh-M6uJz?6L|9GkADQ`3Y<^OY2#Mp
z#_*6rjn9k~{)Jy(rAU*5m2}Ex(&1(JvG%>)kM(T7ALluz<|~6p&$y(2rko&`RPZXL
zS%Oa}>AGQ)6e6teO-lQ4;8euR-pF|i?3_*=C9RjlTDP$0VZBSles9a9)mto3?X@8O
zV3Y!H(wxz~n@fal{UxYAGDq2hQ-@uiIOJaMUTCgcB6>BBJt$vpj(6du^7XgG;H9x(
z&u7emTie|aNBNjxX{WMi6npP|5aFOARK|fC+2ZrR8%=R^YQwM6GBR{N^}H@T$O$i6
z{x&I=DH1u?9Q0Zc0sU${*F`KtbnB^MlOz*7^X(HpS|W_^)jEylMqJQWO5PA8Y=XDh
zk830z3$gjS(>QSrH%`tKG!LCN#!le_UWM%>4DVjP<>)aU+|E(lm^W(#wTy4l@0cV|
z!~RC?ddZ8x0E1uO1C5|!`9+dkDF|kGN#P4sekf&V4M(%@wWXAR*2+*p_~meZzLT^Z
z9)Ig@_l6mQoX?pb;US2Jmv-k~F%-nUluc(Rc?@BESvpNSKoA!NXEieWNjRKze&$yU
z3nfqDm$haK;(GF<S-%2d2tO#$n4q$-v7W=$lSG32-VZl+ZY1OE(VxLKRZI-b7S54x
zk)S@dtg2<3C|XQje3kKJBE-6Z&)rT4jEF>)T7NNk@<iBF@i0Laz8xSYD~!fM@5d+a
zh-0n0vD(e248&~6qZmtyV7kK3aLXqOR^|=kw<iNu@2am~l_w+jUq9t8T@vaAEx~JL
z8Q_%`%t(64?xR?;>R~LK>&08^^uHKDvhHtJZm1}(rtVH}m6gHx4S1R+8{i!yDAI7X
z7-TDb%S?-8;k+jEi{udlG;0Zu=4gq-y-#FQzn?rjoaU^e*BM}o*2K9K6$;Ai&)_bh
z0Go&V`J)*ISQ0A`PuG{gO|8h&9+FC^<7PgWR5d_N(cAYXPLkNl6EvPFtBm<SA9~D{
z3_$<vl+X|*1)f85z1!$2FrUabveY&}Q=LKl!yajHC3U2hI;cWx`Zy6_Z-6h8d2SQy
zWZ8Lhzfay#HAJ-OnXEcwfc}+BO#v-((BFKn`9h{THbyS2v3_KLyD7osgncXUsgbnu
zbB_irma)Qy{uzM3A&=oNp@?-2$}i5SQn8um-Qngv3~=klUr0U3?%USVD`XE1MJ^;W
zw{8Z$6q)e*J1L`%r4vw+sD)`Y9_!AdOgMdQ(>S$K1<e_HC5A29a3JLvu2x}T`mvp7
zlZ7gNhC7o!jL@O6qoG>!7YpM<l<$>>YRKOmAa!O!2ZEs=XuhuvG2$p9XQ-<V%j#_t
zTi)x!jO$7v!S+sXPJF^46%BX?N-g_vNe?nr>JPuP8e^A{eWbRqCW4hu@;u|#$7QU1
z=sINr`r3$1_lGs%!T)>YkD5Mgmlh=QsAkAs`(l4qF%{|=G_M$Ceb}_!D8IVb9Cx4I
zxi{iV!(=-1`q$rj5POx&5u9m(@xwRgW!OHrqP1#`*&01`oWW7vpO#QMzInZ7h!&cz
zdb83u=_03Y!#6!y0%>|RjP!af7<LLKstD?U-carPRUQzrEnFu!tc8m^wxk9g*G9_Z
z?T=lFz=x!!kUu?Ih>F|z_RkX<!XLP}C5l+%nnP5p^J6WfMCJAk=V@X*mZ){`wMJp#
zVqW%IExfYaA^Ivt9Tz%-xTf-~A-2Zr#OD_@)D&(L8}e4gw^!Ll*+1AG2^!zQ;HSaE
zdb8;bBV{~w{jV`_-Wu<c-RJf7sQ58N@(IvZz$y;=wzZ4aC@X2WV`8F-pdB*xSCwSJ
zy<^V2d)OMEnL{$RGz}!~pBf$TkVLf73H!sZtzjHf&k@P5j^^c8`c>z}uzA{5B<8j?
zlI0@W9lxp~)UK^oe@p}qkMRUfZL@~MH@?=r*(&HDFJ`@YCV;AfHV<PVYy7R9X4xK7
z22*ME#j~q<(dgUl^`;c)Iy>?<%|Qu14PFli<Co!mT&ezNFTj)kOtRrx1&ke>{<3l1
z5}~4;*J3FE9JKe>?v|EEWDAXPH+zo2&okyrI|=ZXWRxG~lEsrN3gU%2GsLYTf4(P4
zR_Ngpm@gKV2B}gsaW;37VC@=Nb*R@8Ug@8&*;`7&S>g1BUhzLfT~8wCQ+7Vp*>Qn<
zFN%WmgYuT!7!yQiE7|tg5er=E^Otm9E)MDAA|2aD$BAD@Sbpa!%n{eoo9vn)iuACH
z=@;}T2!pzq^;<;DF{b!(#exqRYC4}1Xx}CXlT-5%MtjWg?8PA+z5BwLX$ONg@P{b%
zH&$^kHO1DcjKk-jk{~3W=hJRJMeGpSarUQ_DLz>^oG9ZIMC5gYlI*5wB279|s^gdm
z4xT+Y?iRHiG`++lzoY*WNt1^}ExL>`CKlrReLFvFBP3oQikKs&J~t-wtv1H{t!0C6
zocXZd`JWIoWr6U|<RzItGeVow$!k@Yc(F3fc%@?RB0<+LYHXkyVUKEbRr(MQ_&=FC
z?M~&uKANP-izGwbed3XQCzJ=qLdRyW4RE4zR`9-%oFTs19lRmH;(=o#>S+WQ4u%^M
zFYmH&ZquZBnFJ3KI7sE2vbdrBHizT80t>Y9_t~#j@W8*kL^_7bi^po+7GW7o6xTZq
zBs=ingw>~>@8x_by6+U8%3|Wfmv397?(yKd!FiiA{>w2w`eo~}ItG+Kc{e%;^Fqa{
z_&cAOAk;qo-6reCK<<BWTqP;Ia2ORPuT~R+*XS|hqQ3^{uHCA~aAALkDbN1R`Xac1
zNSO<F*!&bCnSWyO<ISTlV}(!2_-e61;tgSd%f(F*at6yGo&87gbf+jPza5%w8`6i;
z*dwE&jRM#kP3Ue_630=~jqAA+_3>DCtS=`<5bpn-h~o~Uz<&o%V$(K#+;yWA5{o4K
zqeO-KjY`0=U7o8*lFhAY;q|{Gg^_;t!T8>jQZO1g_V-1Z9%kwm8V%LRQ07WVe@>Ty
z$eG9U3$A+TT7CATgQO_F@#?Bc%*vvXxw!X}h#pMCB<Y0;VmM$c_h_O|9_z$r9~14m
z==*TR`M4E3XSo=^zc8r)>UaCG1BJTCP)Kmj2%?}ZD)nRYO(pD`-Ph5bql=-b{N)C(
zBrs}}RsOt88Nw3pHilK|g1;u`{wz}p!V!kQ>t|F@6;|`i=Z`L4areg*JeP*akC(+3
zwrU6zx?QHn=ICOJ-?4YDvfwZBAFobO$LZTDUlMEeaM|^N=3ZHOXy&%)t>V$drMUZs
zUPk)3U=;X=`_Bq^e7eJ|4Wi;nf9LSw2m0XO5|Q<wPZ4g5y6PIgX^4>t|0|<mfb8Qn
zJ_di4(EE(Hki1tL%+a0N?sWzz|4%R8j9&%q%+cpH?R4B3_+v;q$AGK!*oNOqs#qB_
z+R16IixJjf&nXWkB3{LkQV2EBLsMQayPya0H`{c>Tv_<{Cy5yIP=^`CG^&C9|8&1S
z$o&{>2!RtBwf9eHVEab7OZo5gp&2b}w<^~Nm*3>wesV_>@@cb1hWZA$ou^Hc;59*9
zdij^l>|8Ua_AaS$zXAU2-|W;IU<z*f%z2snH2k+K*6%=&0i=hil{bHz!O{MBqQWUH
zSY~XgTijv*sSi;-W=Ad1=$LN1h0uoVa%HmcqCS$Zn5pfZwZ!849f6%6wNbkG_=Cj}
zeR!x%Qi6^UczR)9#d*-N|0u;H*hde93M=-(LBOr1Wsw$4$9nM(ynnB<{RPJE36eFU
z6D0kq?0WQ}l4;{zY=4FAimr{b2H(F}{z5A{DkJxF^Nv!%ec0{3hM*1Tn|^#EHEUz>
z@-5AyTQ%Tm_wTcprwy2bL9-_`wXx24nktv33ispM-*DFk2Y(%5tl6N2(4aK6jWbH{
zjCyrxtk4GYzxTH|uBBmTw(_CAa(TQ9y4W$tuE(75pGZ@o;#*0TgjJ^$_U;%?o{YDF
z&V4@-W~T<+r{tt6_J~9F<6&8Ce;a7}rhJe+tB!#l?&8>bVQlyFY;e%AL3TxUudBQo
zX4LyG4L0)Ou~5rb;Vx^O34SjX^i&0Ly0mqq4o>XZ_OOTJoHZy`^}H)qDx+(2lx<7f
zEKzm%dx4{hHCDBU^XSzn;(|u=r?S>@qQhmjHG}Q1W1}h`*GaE{(4bSEG~Z9cDeRWd
zn$7H-HJA2Q__8d{_IWoCbbKMa)?HuM*+QW0hQ*6HC22e(oj`2GYhtL{?OoHn706>T
zL!Y`OFkF2&E&oV1@vG@JZMBvaJVh-X2O7k&tV;XrxxCa0yZT?sajuq#f7&9rqDK^c
z-qG&^2Ma6W)m4^7M_XXbA>pf=1{v9hXN!~Diz+xr9?%L~%yDl|*p@Jw5Vk!Xy;@4k
ztI)Vg=`s^F$G2340QVgN*na=k>KWI&6{h3kO04Z>5LS5;bl?*oDj%xe_Zv<oWVs&=
zN2i)%;M$Ble=-j)`!rPD_)<o!nQT68K5c@>$@H{!xm@VkmtULe{F?Zlow0M-Iujf^
z-BYi_xeOWZ3+b&<?}+;Bksqa*#-LE<vmRXK0PV`3#D<zrgxHs`UbE%KApTfIM<py0
z-ue?m(fZ#AhOj`_7Jnlc89QanpI;!X-=q&*`tgJK+5E)5tKAUSQXNlzdOb(ndA1>F
z(xRV`zh_D>v^T^bmA}1o&sn0(ihs9U`Y(c?VIERc#6omv1%J8SU*hkYYir&sj1ZPb
z3y11;Sa?~>Z!6_LLu}gE*z<Gi7-8D?>t7?=N782*c~{z}iG4hrTawi$i0xdGFQ2M2
zk=9!%%{o3!+)ft%ZyWa{Q5{}V?vcTOwRn&6pz}0QQ<g5hW^#%+wVyW7L}%crjpsk>
zeba<R@lz$%><kgJn&<9tp#fgkScsj?m?n-|)~+y>nj;Q!SQHi57(k-?wC8=v8RB{9
zIojvV3&e1MbC+_PKHH;-LI(LWgiTFi>Dbdn;@kVMQszE=?7p>Wm(TIP#HkltK`!?=
z5ULmW=j%T`R5dD`q8y$jZm7AJew*Zk=(dJO&schR;Koh69y3QI%MKk`+Q)@+z7?fn
zM|APhPtmNpcb?Gq4AUK$;l|*Kw{h|%I;i-V>aFJWkKm0;Ra?y9#q>u>ClNj!P`}-7
zeMDIzn%d>wehcHrQpYwU6E`}jdafG}9p}KR*g#jGU;*$ob$p#I)rRBdl7#P<*nI@e
zMiwQKz~3Fq@m5tE{im#>4izlJhT!51+O#kP0x~<d+|oj;_d>AxA{XvGXlv1D=e(x{
z)jrmuTKHh+t+v*O2l*#57M0Y*AXt&(7am80(plAG{(pH<{LxDJXu3FlN%ADh(`j&5
zIJnyFF+Wmj_BppYNPx7WvhiRO6@Jg{C~A=c(7TMzQE@4(;;dOY8&1WPclP4)d+dEI
zVAK7}+%kA=Jnx-EP!X*$;&}O!Fic)r?^~}ZhbtRzJ4R8cIKGU>LOqR)h%NC8m3vpf
zQKm0(_mU<oZML`a%!xwEIwDN5QxQ%hHs2Mvs1VmZy!6Ib90?(ZYo%?Jv3C86&yMVT
z_9OO|-ufj99=)7AAMscP>XOTbm-bK*D(?N;Azu<xVK*8FnQG`8Q~%xlnhMUKnOOVF
z(un=$m6q134wa}jIp$6p#O-^oA2=@y4%3cZMi(@p8JsEBDyxO)qFV)CY4Y$I)@qzs
zPeW!=$CVXg+KAwY>ZJ`TKq5@-%5yfqH6%NHeypTJ-8R~HSC$fV{1+x42<YIh%#|xr
zl{)w?S#Ny!w=yy$hYjzI>OvT|B`%-SL-$XvQC}NX$X|UDB)(T4M^YZ2)NRs7l10h0
zW65gxYW;TIwKeR0D```{E*AqO)UC3~0vgEVn6h2X&hyTDxpHH?nfO>Z6r2~RiQ56S
zZ%8c+TpF2pCpF1Jig+rQR3{al50kso+?a@wD;#vpF+%%vGON=>3&rmzPwXybBA(;7
zn(`$Rl&CehH=oqT*36cJ?VU^<5?Uv5<ct}N=p$G2Gw2Z1xLx^`{rm<&gZP1~7Wm*p
zbE!|$!RYac^t|;<)Om*;R=#V6{{a91|Njh^hd-5l7{+a~H;FQjbsWwyPsVfGLRKZ&
zMG?tJnITP5BFf52G>l3}Z#+LEg-Vo$y|Xg1N4)-l`~G~cdwj3!ilA}I5q}cc`7&1!
z?ouGnO<%vv62Qm&8aaBM1m@rE?XJX=;iA3cfUS-`lnZI4aAC?&e@v)WKwAX@xdu%4
z@fkpr?Mod~O=a+Ix#+~<t^_^}7pZ#92EeSVdO31{1TJ{44{=@|Xk{Eq9y%C;OKtz&
z3)&<&NaU4tI!FMABlk>;YYd^Rq-Ms?QVEn7ZoN~^kc6s`rR@_dh9Gh+MEZ>g5sV)4
zc)wm2gT((@Q%^G+0a_h3ReY`hskoR5VV@9aSkO^#%^QNYSJ*gJSRRajWY-V&a6@mW
zy_VE}hEP9yPe$5J7P_=WyPUF_;FiuyJ6oTfzS>i4yOU&~C4eoINoXBA(Q1%=g3%Bn
zDCSHzs-@r!C5$&)a0GK4xH5z#8^A#6Tc6w^2{2pw{JKZ?1Mb1yo+Kb>0Jq|QU!WHd
zhuZsML%wyBc;ojwVT4qDkk@>C%d|`soORt(3app#S9(TV4ZQmBKugpx*=;ve$2Pqd
zBW~a~a_7J?3E<H)O&MncK}d*ce=&7%8-Ma^Z9I(^U<sh!(U}j(yIeR~7-*4MX^Y%m
zWeoByhmOpYal`LRo8==Nv`9HYYW|779{h+)WZ4_R4zDsr5|Y&D(EiU^vqxQYAu!MC
z)oB(M_;2i^gOxEIdNL~~pcbnGx6?R|_|h}L(tSLqUX%{4`JW5iD$|DBsUBa6r)Z!}
z!b#BmGc9_ymQ1o3+YkJ9mMOZ2)-ha?I?#8T7R8VA>8DHY2UiUj8?J;!%tuhRzHWmC
zB~M3|9rvNa+Y*<pv!7<L&a^qLAGc_b^`UGXi7G9qY3s6QC>+JyH%ioA$kLz-9Ryle
zRxM!U9KXoL(2YsCHjjvBZ{u>F3hGZiG~r#C^e-;9W-Ks8a_$QEHtu8RD*mWm1KcyG
zRD&bK@p_qxo{{1$oF<R|_c}oXmMA>&SLr_BqxE+qyF<3{jA4Nak2~tn<B%Jha_&3c
z66138zu+xgp7CgQ{+1dvNh)fY%=P2-Q|_@dkGAmQ?t!yc0@Z-Jd{8OIb_BO42P0#S
zZ9Htw=vLpjDg+km_s$&~$8C9aPEm`u@%8QR^tU}#!EB9S(=RoR^HkiI;xeE?%@u#%
zTo|E%eI=Pi1I^+sDJl+ftu!cU-Do`4n*!rJKZ}fV=J9o<x(vl2TEz82_Er8I8Jx-4
zhw|(f@L1|wpKVP#L|5(4_c4+TAKv5#j<GM{3yvT9UyIQrqmO)@>+ED;)Bd*Q_F);<
z-MT(fAkBb8*v<{9<f%Z$Me+h;;wt{xQ>xP1iV>X(zVY$`RRtLJrzY;4TE|H$9qaK~
zOz1QIcc|)_GVFhf_uM+Xi5L8RRusg;g4F2RYUid&AaTsMBfxbFH}!b&HK1%4vRzs1
z{G~wxDLa1EuSPUzS^Zczgs~yT9~OIB;*?-PM1r})j}~>-wDHUaa-cwtvqLIlL^#OO
z9kWqPha4j0t9r7yP^L4rE!~m`ihp!J$T2dYo6Z%+y<6O9Ntq|=MU5iR#~eIr5ypsa
zdbZgcTJj?2l6&js`xT+9IOJI%J2T?x6S-Xfnh#B^HHn;RPypgP`iCubEXY(_W-{GG
z0Ntz(>(FpifI?-8a#0p53g6<f5?d8SWx*S_lxP&-W$MsqSS~yI-SA)6<2GT`VB(ZU
zQzZ{(S~)+ze&IwKJ^oU6+C)&o)0&vd7<q^d-dHS6<3=1@v;UaZMbW8uIrcBy<bm(K
zO~=>}57HhXWYO8~L#nbjeBap1!?Y7YY0``jNzh)7VVM#~8e$ggoTuf%ZEN)E<&XSG
zM|aGD*H{uAEMc}jl_3wiZAPEE`U@g!%5}<<N-6Y>K|F_kRvtKY`%3;&gi&ASZvzaI
zL8^ju!Y_Okz&vSD_oT20>a$BY9ob7jNw&e;bpndOV@+drN?a8EVbZ9eOO!){R&1>d
z3yMIQ@$RFu*o(R~3p5mL6wuLyi{eGQl%QZ+;dqsWI5NFWHK^P}L>g!7tr*=&FpF-Q
z4_%T#X$z&dZcHj6+U-F;w@qcR`EKyXwMi1GW#-f!D_2IdS&jATe^ua8m`~?RL1|QL
zmlLmFp@O1+WT$y>QebazY0*i48T3?ZDt0l3jOu?@x`-WC1-q-8(S5B1L?Zz&ZmCgF
z)bS!d{{}U9AKgQ+Ajlzm;nci=CJHhWe@%1OQ3KW|+0Lhh$fHX~NZS;WDmoxb?hF&q
zg383Z)GJjA$fe*kvCCZ*vB_~%dHtb6l22vTmmWnlu$$=;r@bmNIc;i*|I~(u+9Cxx
zy+kB2(ds?Mq>8p^&Iky$>cW7X;`CCP5_;GEyUf|2f<o;aWS>-Eusz3`e!`rDq|A-u
zG!x0_<3SR2ZzI4~e|hbj0ul<i=v$ZVqk^hMoIerM^?~ohP|~;8B($6F>6SM?3BkMt
z<4HRMFfF^VO}I=#hvMQJNJ|RH(Qtt_Zo&YD($n6m(vuM171`*bd$MS_<x}8cM?+Xz
zO)h?{t%UBx{&V^vB8_4c>tFuLH-yP`QY@K5M2vZkH~k)pBStx4zr+SZSS+%5Kr^d=
zPDtJGihCe}yrWNVap8u51ep9JBjr)8^KkZlUw(90OrSO^-4M!^YzHewWKqiYp#}RQ
z4)o0{+3(U0ug_p|?lNiwr001w@cvJFWXY&fbDq`^x>>c@Le5JgBP~Pan@h|1o@c6q
z{22xy@Pt>k;iV*M&u^-al^nwFSRK#`lQjUNuu1&;qBvSq3)-!yQHO0tO*U_r=tFP1
zVItkNy@){ja@AyP6g!@B^S&}!AHG+2^mCZ(L3<mw&#LCmV_)|9o_t#lpu>pEy6)`%
z)JOhrrcuk7jn8HOOicih!B^(3HUg;ph3phV&l+~(UGum>BnEf-P71aa@S@TRx#4GY
zn^>~N4@T2FdZ2avKFx1sZe-4oPyMI*56c*GJWedu1+NhvrKw>y^e^PyJ<BKmu>HPg
zvTVQTK;KXzul84F<XI|l)BEl}toE89RBdX5zTC%J8F>a&cgOL_u08)So#Mlal4Nbj
z*uH<YuAc^(@&sfi9N)x>^0{c${r1D0kU{h9feqZG?XGa=r45YnVl!U=T0o`0>~kuh
z2G7Q!!e#vK)?-oCq;<@Xe$ey&x)wM^OS8t)|Hbb<?%HRZyN01-i6kZqE%>lqQA}=|
z!XM}?)4l(16?2#m*7VBLgjYV)lXP(-I8Wqwl*OMFtmvuytn)t&VCB(b&>{EW4Tl9z
z^=YqQEkg1_DXtnoIg&Anz5jx5y2WeXDPG3T2i&~g(5MdUioe#X<KN)lenmW=Hdw}f
z7W4)`Q&xxEPlmN5yNB5KGZCV$w9DAr$gdInIcmTpF!M5p?;R%LRjL*<v4p))Je>2H
zR}H?2a_VFcwPVN2?TtJ)moVjLEQg=Rs{%t}N-J~PPwWjBfvtJ}GIlU9_i-wdDtuqO
zm|)V<hxv9TQ_UXj)c+xw>~?L3kH!T)t`<XB&5bde2%QzowivlC?4m$H_Ot!s?4ww7
zWmD*G+EuJ2{HxXeBr>Sqi@5Nr{5NJpgeP2!tC;l0NjnKqGFWX@Vg3gvu>+E}4k?1`
zSbeU^MA}mo(D~2E=-co#=A4O@X!>kmtsf_)Qgu`y|H9n%+n8C*zM-3Uer^-H!%4WY
zr$8CT%P#lT3eIC`f-Bt$C0kf<E%*9nCkgcK2P9ny`-`Cys>WkBH1LD9{PAZ_67(x;
z?A!Hc0h?A7=9fH83p5;7<{4H>aCO}~_TKp=jCb(PCDS}QsMw#D9Gpso$`aGk3qmW{
z1kJ|3+zongD`M%28dd~7q~k{SV->3tTzLB-oDuFGClMyJ6k(D<0V{jGj+v=yhZajP
zgYv3e{$i>E%%rZki`8vnLP=$PcNSRS`{VfZ<#l<GPi^6pUfRO)_udKTUu1={n+MpO
zz2za;X={3>m<GQ1Mc0sJIiRS#^G`{i91y<RjUHR41<jz8w^$MvT;HgNd#-Yz_cQfP
z`AK@n(Wr?G-NOSX8@$=Z#%1A^N9AXZzYJhAAXr*-n-{c+6Q{GHWPwY-<6KET6NG+L
z677=ahf7D!x6Fvk!XT%_3`YbDbSS9#_YMd^u$gkWT{{7;?Hwu}h++lD#GK*OcS4XC
zLX&Yli2&o|1V*-(?BFj%nVad{4YFg|S08!o<cWy*!dzi4s0o@q^NwE>>W3|}<;)2X
z<}cTFrkfjvdEyQ>U)c*KnLP%yW(43%^gM9Mj2DVTFC0`z5eG~1V9Y~z0-UK5d-bxD
z4^qSrg=Wx5f|z|vnP3_L-pA64@Lv^xtX3Wk$_*(<sE#b4Um!rmg;T4E4nn}N)#m*}
zK?Y1wK`4Gf7VhT7Gqu?625(luKRLe%kOrX(*79;NR9*37C2$WkrkANFyp@CYrswBR
z^2mdQsdjT|wHSQ9_C`XzPysH6dHpuhP=Lo*qn7RX#o=~Y(7CfYM93~(d7P1>2(Nyw
z<W{&!fMU1!-@#lG_$?@qNk^36teB7MwKtM*;9^?J5u2U7=2vpS&s7;Ny~A6bWTYYB
z=+S7J17uLv*4G;zP=Unw(%dJRG9Y#Kf@chc0!$^WkH++O?#ny*{vBai5Pss6>qxH(
zysWg(`M;_{Qp@@Os#4`3`I4vK+vlnvoR5l0ch%uMBTuvzn*wb4xDQQ`)PUPZWfr0|
zK~+3v=&`>dEIwP{SlRK@Yn?j7ytk;p6kX_G{hA1_&UIOz&Z>dT42o`jr43RhcNgM*
zDS>Na$@>6NH5eqH_M0Em1#8#!vNP{VAlS+f<aAyY*0!mhODq6<MQt`o7nEW2vsYei
zC<XKv;^<j;^x-ePhcR=nGB8=U*&b6Q1Gofze@JTp#e2%^O%{~l9m}5MR?5l{z0GWT
zvE2YTA1fMczfuO8xw)~68H(`ZOtBnum?0#-KUDlkLK)7Pq>g>6m4&a}1*`@OhH&51
z_+FY02@E(&<5ioafPf`_qv#nyq<rVD0d^(mDZks`UA_<e<>rSc9F5?=>#8z0vlJnK
z^=kdU{lZWXG0nK|pb@ygJiXkqA`kugV}|O^Jn$m%sC2Z55lpu~9i3H_1O8t9b8L}J
zpg7|v^}X2;N{*Mx_?r;mQOQ?N*3K17ODo$6J7Ea4auG2cho#|Fz^POEzCST)H&s4z
z(g5s7xgLSLBq)t8$M_Ww;75O@n8kP-Ku?!vduy;b)Oe)WTh%S#2b`X<sSoNyW!7<w
zpehE1Mz=!6qc`yY`GF802Yt}AWTV%3vKs^^6I$j&X;E<abm#aNfQ#L0Ppl3L!g@&*
zi%u;)vN{^JC)E-lo1e(uL*;{o2Xeh?dW=ZE`X1Z<bPW1MB)kfpxk0!>v6L*ugkBnP
ztC>91gMb?U@CV^+a4&e(43e49pOEI^)+$}-yKR{kU%>=tgfGl3KV?F^Iu)UH-*w>9
z-JJ8@C+Xm=3%y9$btc3@V<XtStqt!y+&a%P|HHb5W(GEOnGnAd4}(2L8(tpMCPnZp
zV{Y`~qXzwqXgQu|tZ9eKCuv*Xa6F&Iev6Dp9o)$oCe(j2Aup(qA8mH*NAd`!>DY8<
zT#ykJ8}7!NH?=^nqpLd3x)Wn!^x{2@7|=B*Ju78vEwE8curaDF#tO=x=*dPhAmxUU
zF}cT@AW)Rxv@8Ate$_7Z(YO@@y5W=8VaBWp*AD+~V!Gaihu@g2-mk-e_MWlkp`6ix
z|9B0=Z7PQG=>toWxCsNgY^kSm|GPSP9X7Zrlrn*TkJxw0H-G`r36}M0nW%$N(DXr?
z^%>kym;GkV8wRwirzLFUjT#VeRGzUtkN;7>ZSkAHh%{@TehgAmgU4^8bZJ}`am$?V
zdh->GXv3p;rRk+Ad_?tMFXSxaOR^#+KfIaH(JaA|PwJ}R@ap%s@Gq-)jA-GJ9AHKa
zm#tn#)==R3_RsFl)ph)EYjC`;9t#@!KrQJwKmnPThY~8q|KW`SukCJl>_TIyBicW@
z$dJ1s7WTn<8%L3)rXep_5&fj&k<0)xq_4O(J!+ys`KQ=bR^-`{tJskRDjOLF*DW!D
zIa>5?;bFwCHV$+pGMw?(4zEc|IqTPD=~3Tw_wl8CF60qx@%*W^3Jf>4)9UW%LXXYb
zN`K=<&sbS2dw1^q_T#8uCqFSFt}`3MlXE=i<6MTs<RN9ySsIok88D-UoUQ7k@_eWw
zb?cliBEge?>=SkEET}iVUXeSRA0_3wdNxo=@GfS>*)EzDWoeWA+7<-REM0iyy*ec*
zeI#2hY{ia}Xxnj@I3cujw)P#<F(sH!q`~d=Igxyoqs<ll-KcIwl9WfQ1fQR1ol+oi
zBQb~7u}!f(XsgKOre+NhBAFuCNVYs^;n0kSv$z-<^T}bIxJ88d^pSY`o4m-qyYK7r
zfqf`JC96u|0udaFo*vff<3mLWbp5@b#F1tLS4vwb5iD-EUADClK-rAG=?rX=NEXjJ
z&y`Mu<7PSu8(#&HTnCwZzq1tTFmk_svuo%7Mtwfz5GIVaKYX&TN7Cr`FRvaeeI;-y
zycxP*M+CjdlqsiZ5)k_2vihN22}ZxygfoeWA`{hgs$q>R5)Tqi$M29}JY)Ow?LB+Z
z^Ys^I8P@WMTpZ)8c3BxtKMenOZjU$$Oi%unGNFKiBRo!u9aVu&gKy@U8WQLqZ*(f>
zRU#UD;#KCnGj}7FuHXN;NFvdz3DPPeB*dn*@hxs(=YNB1%){GKh{!2%*&;_7d0vk@
z=KPZajneOB?V6-fWY~iG=_@MezP&D`bwL&8{E*oo4FL`Nrb)k%CL^LvaOoS0IutL~
zI|NZ>k+&5DP@j;|5j(@!hj%p~B2F$u!AB0A?B;zX#!5kN>rT~c^J&3=lXev($Rqx>
zZq-7Jf{3o3!=z#=*xJ6xmQGVZ#;52><pvbA$aTbL$zB_rA};+!R~1pQNpVv+2L+vE
z;|=cHr3<Xx>r361M07LD%E2s)jOLcUd~vMS1NO%q?~_J}Xy_*wo#KoN8d1GIZ$<?8
zyL^y;z)T4l4d0#$VpKt1jgH-7e*nxCv^LZNl@Kc%o9Wv&CA2Lz@wYQgADGWyv7B{O
zLI-!U2+~nR9={)MEXo@|e9o!+H4I9q{0n0h?P)nwW%4-TNR|O?PKJK`=ubpWPZth;
zJS&5S@-LWQ`eOjJ#3j+%97QxLFJ^P>v?Q{i8r<p>HH48nwjG`s3dmjK!0PtMUi78z
z$%?<CArSm?+Kzbb=#w}6@8Zs$*Si%COzhd=ro?ylV_b45irMfIV&g{^BJZsK&Kp4T
ziVgKkCIOvz)Z=%cniKU^hB$V;Fo0g`rU%l3G6>l&1y){RLWM~YDFk-|a5Si-nqQYf
zjxFQDYmD1CrT+R6)g6v!R{sojUy(o~&rZ%@P7Anq)i&e8jt*JXpm)ws9QmwE$ILVj
z<3D~|UV5*f4@KI1i?8~`(5e$tvvEWNKDOIL`CRpmp1J`7Ui5p=+rm}Rf9x&T<v+N%
zs3|}Y)AN)bYhiRFD>{O=q8H0$o1Un6ioxfYuWW4}1klqLOdkL8N3g1b534yXdJv>R
zn<f~@hXm+OT`#v8$1aVm6$a1hLO`{$!qNdAL@f5bkz+ZD39DHXL`8IABD?EXLm?;n
zVJJr0{5y%Y-DB+Lvd{t99_#d6VKy{!oA=~w@+5Y1a&9F&RvQ{$Z7%kYGNYqH(#u<C
zCoq5g3+9K>eqg?OL#KHcBl4Rb9i*@Qjj7wXH3Ty3ha|(GcN0-`XdtxK(Y<&SOGykZ
zx@Sd&5Yqyi6BrFj{+(B6<uZ&V#S{E5W^2KvlSxGL_)Wa$Z{BIr^Z@orZOx`{K@%Rl
z{d&rhe+}ol5xE`S-Gd!J)^q5bl_ngba+J~VEaOFUjqQFzKd^1DsO<F;4Y*b(z`yVO
z0`747es2!lS4>VQJXw=h14<`dW0^JP@xt?d)`wC)V*UO2-i2^=SWAKv<#%UrF#npI
z8ry({+B@Fg_^k$7ZJq**)>F7i$H4CF(h6*fMel(0F*R5*W&Rd>YaF)>nssGPO~EdH
zn3^&AtP1f9Er+aN4BxnPAVbOU5$-V&EJig|1ru!sCke+9JpKdk^DnQfapwr8*ZmDU
z{F>qj*J&HVgEP5&pNlr)C4-LxMT{tLk^0{Q+tfk)`7Ar5jd&~mWIo&d(|a;dQwOxp
zJRHC$iG?|J8(;9B#<B%{R%A#t^lo@Q+>i4`S3GPx_6-lZ_G^#EFBSMGz}(BX*oVhu
zSFE{}|G;%Z_>^l-sX)JH$SW4VKD<~kEvuQQ8xN{AHm;dbhN8AO#v8_cxZ-zmdUjMF
zj!GJq*aelrdQ{ok?m{2l@zas>8|@(e?59V&p&<!gm23WLUhBhS-pjk5?;OIFeo4pZ
zT~LCL;f(_At^GLu=V7e_K7!X~e4XhoB|`XtKaJmm2k<}hO#9m!$ME<ki!T4B6@icC
z$)gpyL7XXri_Lv%9FJ<OjJc+w2sO!a*GY6k_&lAad8gJC9;$Y-*d<H>US}2_{Yx{9
zCtOkXFfaduuTI|IedfJ9oU4rDG9!%OmmkCnWUI{KIUUN>Y!P{|5mG#WpBu&3?`goN
zf_a>shEsebNDk85wWb56#_-yMF%^HP3wZ4E84k)9Sx6b%)4QEGjvJj1?`2+G#NQY6
za$lmz!ix{bA7y$@;%1SY_ac8R<00(i?``P>$n(0si_vcyml$GY<(XK;8P|kzq?icM
zIHrF&rDO(g8*sGVP};zoLU#qng~$M#+nhyS>KtC7($zfs>>s`$yf;l~MjG@Bm}q}3
z&EvsW$p!b-Xi(l$9;?~Y(!lz7vHd~#0)8j=>5zFPEy^5D+t!<sf{Ov4grj7a@GfTj
z%Qshggw?+7HVTr07lvPI0%=z8;2ip!M<|S_I)IhYZd(%U1*z#nyVmf!Z;#&Csxu?|
zGJ@adWJw6*<O!}Y+rWvRI@+qw>_Xf}Dr0n&B*DZ>H{wwJKRj$}<>Xv18xlKt<)dMn
z1k{Py%^%aFK^q*OC~dbn5pyh|wIoaeP_}k41*b*e#MAz*o*M<fso@S)l7PGG({2`C
z^eENMdHIniFM2g5!~JVY9MYv-sEPX-Q9{bDtKlmAsFtbywPmF^XjSONV7kmmHSu$y
zw1Ob&_|iwrzby`{d%d?7&h0`<cf36w91%u^XQn@}g@{9ke|BivFdMRftIhM3B8ZrI
zqL3UU4o~{|W=|$@q7ZJDG=iNN8fS~jF}W-bUoSeZ`P6Zv;oD_-*9FAU(I(-%eWl{?
z;uYVYCRbi0QgB!^K3@VcQ%Mz;E8;K_DHEF`#gDG|-@OxLD}}tRc`_)T5@4L`X8V>`
z5V5h3<T6Rgps&&Dza%##Km&1}C?^S{gsxk!)P-cx?Gpx^{tc4g7uWpxZI}oW5cSxH
zi1Mh1`|**WcT#ZgdR$Y;k|-*8${yV8u83x~uVlut%7EAMQ}OKleaKg@>)GK_C1lt5
zsAVpT0B-cU{B|IL{2DHt{?4R=KG|*#g<O||=!bJ}@|q-3*qk=^AeD?>e@Sql=~RFw
zeKy*)<I*T|qviEGZwjI#CHB5Z-0@Kb5tffQ322Z#HlZO-6~%i$`ZndJ0!-t!-?iS$
zBEOdA#JW3bsIDtHKv|svwSrfxjIPL|`Mbia0siX9mqpS$+Efkr&M#!k?eLx$^@--A
zfCh@MQ{xlb@iW7^aaUP~iKw_<=^Ohw4V2(l>VJ=m3TDAkLTtVybm?4&t3rqdl22@~
zI#8w!HeCNzH8(1w#j5llANe(qQ<`z*imM(7@kBUC1gId*SdO|_Lv_^PZZ2kc8GzK6
zvyb+N3QE{}ETn^04V6-#J~;4BACB(3oNLBSM(1YT2Orr}5Sxgr_2u6NP#8&ATofcD
zmvsB*$+jv;W9^;qzFtG9Wjw!jY+MC#3iNlJ;Ul8IvtqBrvy7mD;CSN7j-LzgC^rq(
z*qLK&d~4=jV=x&#dh2eFG8(-{cKBl|i9!s*d#pW-fzKtJgTbDJUM`(gYTp(?1A57~
z!~BdPaO%*xxywX!g6J8+Bf^V5?VFcdF*JrzNeN505Cx=H^SSzsAp;sey(&X9X9UM?
z^XTas$RYC#|3feTPT(poUb`A1jKCqYK6ZUc208RQb_I%zU=CxpH7fIlu)DpTAv9kK
z^&9>T<9)V?DQuhf?>lA)c@d*_hmT00V&4%NrU#5*^UbTR<Bb74?huxhSKW&i@0M*P
z?qLIo=bIH@_ZYyh8;v96+1+R^q}fPUhzrzHZ_IJT=);@Hu_w1C1(2QHXtU}RH=Hw9
zc+WZs;Qb}qqKL?g7Gi(R1byOx#=?bRZ6^RCJ8e&R5C=-+Rjn_#<^}$IrRQ;vF|fd@
zv^6A|(f<Gd0RR6Cmv=apZ5YPwy|<9P*ZbQ0IgO7H8D*xD?9fs)?1Z!_B&ld1m5LDW
zqtZZ1iAW;JR<b2N|6a#^+{ba<_jR4;?>v1`BaCuV03P1iUk{d8pt328D<hDe%$VQ$
zhAvwGtOxXdR@RzhPflWs{q6-C^L2NhU2y_fq^Sk?elf#m_Q-+*nv=AhK6xIxTLds^
zFyLdyW(J2q;)B%ZZkiDh<>IFx02lvB&&`&m;8W_Px*xkkY>f(P2%O;ur*p}<(Bmcu
z>ibjtNwk+xEe&$&Xy!+a+A;3*kH+xGxGp>(HAakSnJV14$B%9bG5AT%7(28?d^P|5
zA%^&dD-v$-V^`QunTr`lXuCR1^8B19687+TsF(0V>K}E4`o|EnlSl7%_$?C|f_i(e
zH}YfniMI>Y-w@ftzdUKCbPzdrKh0~NA9lt+Q;a(e@b>U-nJsb*@cZ{<#v1})x!p6%
zzS#ilgN2+vjxr)g%l=CEH39JQvsTA;>f^#Ki9<E{%<$x`|0^dUh)D<G?a}`Fu$?h#
zpRi!XuC|HLg}Z`KIKgE9Z%PlYWj4(9oou*oEtIv{M+i1azmpWw^)Tqp&M>>11CqS=
zALYsjLu|@Inon5|i$@>YerM!@j#h!FD!mB!&o;8oH|rv=bj#VGYuu>gA2tnK7QqXp
zXhXReT_ms5&swqP1<N_Sxi27wY?HqmC)9Nz#Ox{lGl37o>DME}Y{W6Ov0>M%AsuXU
zndov3;zzCOo9lz;)`5FrUQw@12XhT+u8ST5xNcCWxZ|$`BHnBrZHd)EMJW64xXpsd
z`fkoOlOP3|=)&)ot~$_A-)8Q%LkOP2D*UN(()g0=%<rqKgM?JJ=%+`75mIz@qBBYc
z#Mz@`3o<(3zx-IZ>y`-g>unZ4_{!oxc`<(>2_01Tw5gpL6vc^Gb~%}w<q+x{y;3Kq
z1ILt?Vrlx~C^3y`XZM!J=P>D)62>|>S;Jo^pR*3RKb%X4gB8FT%<LSvT?cYX<u5|H
zC2@CEqr@Rz5%;bQUHW=a2e)>Q8!co>f!pV3Mt!~#_T;|hZtBy)$6E2dzci(B_h7`b
zYMnAXg8i9;EOb#?EjtkrE`!ofi~f&$RFE8g!0^L;T`ab=P~O?f!ZGC8aP6EbuAgmv
zx@x2cmeoW4CCYM;=-R9PoLL<ig)X5NJN59~i1tF3OCI%J0n|7~4Two~ws&OeLxqwl
z@_kAkeB3HheZv~Cd{n?4>tz7b*+dno4h5(`=o_*s*Tm+%Dj(8~4Y44i)t>%X5fXXa
zKZ+f-fIBBm?X`?xQ?yGaJW~lVykAvWs<jXw5Z}(DXN;W+Jv$0Ll=0<^kn8(NEo6?U
zt{B>x;Au3|JsPhH>i7Eo4f?5t3~Pf)#Q;-8N1C~tK2(8UKq%egJS~Lpd#2%%WCqph
zLnqIfsp5THvuz!l78dlEmm>?zvEMklDCL$a=;(6Ki%>Knl-M0vf8PSf(ghklf2(3{
zSxpXt8qlkg)%L6)VDn#_Kc|oyB;$UK)m5qCYS<l4M`z$gGJVJeJ~f;-j?kV`R7ISb
z*`Mc+fZ$WJ;`D>65HyKGX^1kEjvUia;;_V7)8)gL&#7W^OnP&2rXp}?RJdZJC7v8I
zTKO)j3i;iC^ck+oW9zuZkEkP-C=;A7jz6pdJN~_Q>h8*do^G&7@1iBbkDLvcSo`nW
z<r3~I8PZ@fa}~RI#S*SJ-biWwP{QBvYvqyy5~x)9qWAXv+W8gFL)9~i_>9n+?FYqB
z(^c$s?vN!SCzW6F%_t!8xLyy<O&CX78?TK!Sz`03v-p`Id4wnnZ_i8=0Dau#2)~#m
z9{1V33}}~wcmu2FLsmYt^**{}_!%&ZxSA9|lZAcqg3^^1P6%n+2^~HQy!j$q{Ig63
z&BRu{2L^0dQuCO3X$2gx3Udy&l*U)f_2a!Z%t*B|UVp8hz@N5}x)D<;*cY9xksV_|
zvw6Wiej@^@qY}YU&JtkUAJ(2ML645?xck;8E#Q9FVb9N_;wV1&_-**<Ric&Sj<Uj6
zb9}I*DX27wLSQ=jQhWVBA~Qz*xPi7ggafa}iyDbQ)op6$c<C}B#-nFZv^FPKe5Z7u
zzY+qw3g1|q=`z7{<@ke*pG{G6bGk4sRuD#9SwB{{EE5OuR<xaBip>vbt@=&^2$T?i
z-uiQypf%oTxu0o*M|Z7MRjv5ZE;4j|L(f0rePa1FgK=Z<r<~D_^yC9WuGea%@+u+s
zc3Q7+lQC|2#RuFK<;C8xp6m<T=s=T0lt`5k7-DM}WuJ1RM7HR6u01^l_j3kU${AsM
zUDA%ITrQa337QCSWk8`{z(n?WLuhROPolYu6LAA77E${dF)6){;}we`{OfKd#!hqK
zO8CBcxpF3aUv0kW6K{Y570xq*VH|izp+!{CvEYdzbK%ZqeI#-2Jy_1i0lV!@@eJXt
z2zP4@n?9zG!;2X^D!#Mh;dzg9=O)<TvS@ukkx3tUO~;mnzp;ZWQrKu`ItR#a#@-@l
z^l&=#@E&_64p<HKgbx#3cr1RHdvv`X5+3EsbGmZiSMrXb1pyw|EG{v%Jk&*l|Ha0T
z7aZU{maOQ<z=t_btBBuDx{%gu8L0Q;#5(?{`esgkG}sIzW>4r~U&j6aswBB!TVU!T
zt}K9U^IMsiFX&*H<%hm4JvWSPNTsqZf)G5Y^EKOIO>h6rzPicDgQfMGZY<;oVO!Gc
zk-NXCXubAQ*u#t$fuX{6v44bN{-|yK`5h`gl>RPbao~f)GqUSefG9-k%EtV|sQB$T
z<MWlB9}4?!{+XB%gXYl`4rN^`v<FhP%zF7TTXfhe|NJ@_)in7uF;T&F)~26)B>-*H
z*v?KjNt|pkWR~iqU~6!>s^BX@>^f2JnyS4XTNkvmxn5F0Gvv$e=@CM6()QFmAsJk}
zTrgZzMZxbFhm3l55xfdgJ^W8v7CZHPGx;kiknH{`YU?bD*QSvgCB|~tbU#zA;28xJ
zE^oE3C1RM@ag|%%ArHSi<*diO6g0DBzkVXU4jk9&vOi`ipzMNKYcD4iqtcr6FUlm~
z^|z`#_M;*UXH7$^9I1%n&~QHCDg~3vNkq~*Wn`}lwi~@l#i0(T5H4<MSi5SVEJy{d
zhW)*=96E3dGY<V0DTAI6Ns;FdRYBjN|8M4`4l<KpOcd>q1;a<@>f~iLOk})Mf2*Vm
zPTk5H6CXKPpZ+?ZZlZz5EVVK(zv$w$K{s>KnqOuN)4MwcX@YdzVVqj3hbQ0DOq+Za
zP@%YYMe&dpMnh$X`7Y|i$IMgYrJo|+OOFVi4A920Evb&#c?Qr*OY=S9s|3yQYfi;{
z6v!T*Yc{JgL})>%K#Gepk{i-F8Qm!m2;kqhI&6evmpOTE8>(RZW2MgEehTRLmpzWF
zn}F|Wf@(CUDk?q&{v3>?V4O7|M=I7796X<sbYH51uWZ|c%b*}@BL3fpCNtdI^x2BK
zQw@49-x`@(wGp*{b5N0(1s3)dQ+T`8z?+xrS@v8DTief!eD@~Mw(n%Ukg7T!wvQ>^
z2-Jkvtak0^HJv>5xq2wsQ5~-BBaael)lqxy*S@!J04G+h>H!ON9E)yldiq`!wilv{
zL@X?E?p~Lz5raDRQ*tdBA1PxIX9u6<TSAL-dw|SEHE6mnZ_zra2>Q~#?4AKj{5({Z
z)xN9>lb+%CY^w55eWx>*B4CB<jQGxCvgVuh9W4yKGBD_5n);(+g*_WOd~Ug^Aa_xx
zpTj{4^QVN|JlE>k(w9rJHY&qb(t3zrR2-*g{za6n-J>ylXq}ao5`L<dzGgHMhN*4;
z=h#t89PYV$W$TIp{xfxHaj)gaO9lq-><UY8uDo(P^jsbcaa(T%xpCv=$lJx?2usjp
z)?aK)mczTfQHhCcY@jf=-?x^w#Dd{=p`SLgC_JT6!j#Pj!SCTlhHLLL)VbV1<CK95
zn|39A_bMU0=c65CB*6DEi~8+}6td3$n%_;oM4b9umyyW}<is6xOFtk1xn{pGo+Gow
zc;jGN^)>=e`^Dd!-Xsp*((kQ`(tn7AUqa{Hu2|rMlV;mFCs9nr>`eT6@)r@uyV0+v
z#~ci%cPb|L2qWNu=3w{vabo%WS4W5S=5P#qls8f%i0+4p_bj-_h_Gpy7jrw!@Kx+k
z{a1AXlnPwm?frC=NLX}t4lFfA)APBNu;+YuBK|agZ|E2yHkQ-1I&T8Ivew<8=fz2T
zHQvs_apLAa?>9{LCeX;9G_ZQXh1~VCr!I2*B1Rb|K3*s=hC+@)?CBN`<WgUMUik8x
znAIy^sai0?JCjnnqay4$!_oK0C+rU)y;LqA<!OWw1HJ~`0#>kFKIMI`G((Jv2pqgu
zV~BlbgGn9RS&%a);w`{2N94Y!IS?*qh<LY!`aDl&%tqZ|4B%ZLRE<>1vrZcz#<99=
zAdv|VjvsG$qPs+7-HyF2wW^Q1L8<9(Ul_5Oka|!Zy-bL#WK;g`*T;cKI{uG47||<K
zw`tF(6=GDm&qi@V4-X!Mu@~_&qWHoVZO#%pIAtAuekn{3t#j+kw+=F3u+m0;W|1D4
zQC)Hy*Tob2$G3icV}LX3J2|?ojCh|jt+{odE(}@-<+6VaAmm@zNq%5LXQ91%{jv_u
ztou}GZq5iXji9RZZ7evTzcQM>rdKS?!Wku37;%gCQ@@>&4JMXTTRPY4fZ0AJ+-*G*
zZbY)zG`(QQf%N0rFDt2tO^uBot7k%k?ow=Q5hsp5<J5|Gr=o!W8cRYvGj4b}{ZP2c
zjsA@TcKWjvZ2xpHBzy-8(oejdw0X;m>U(3R%J~#Du`(%o?qtP~NjN9T!;jd=R^MwI
zDDYg6&ooSBgK0<ZUAHyvxLEMnY;{%}BN@LXH@s!XuPYn1+=>LDIv_*0BUl>=;PqoQ
z=0tammuG{pFl;~Cg@&#1a^RoG->J=9V0hJV`Q{A~6#0qzx*yPji&nYb)8jl?RLzrP
za9Q&;agF}t0$T7+^h*iU=Y!~tEB>V9IxLy`N0dC%M5ii8@n#EtM0{QFy3Hwx>L(lH
z%2PE_cO>c3*KGngwUgP;X8n5H`<NKsvO^QoMK&~p96=O|=}CT9lfiLU_VM%Xn(%Hj
zTs<=;gj*ahOT)coF&9jGH0G}fU5;H7Og<urH<50y&y&NU*Mc@OXEf10{Lts*4^gav
z{!-ASJjSQ;vcB|c;<EGVk*_Dk@o;lixR<*kzKmO~Ds9n%d)8s5?Jg2HclaR7>sLzn
zl9(>IV@?ZY8;$aosZuyM7<}sA1{H9uWELvC(grt6pdB+s8u>P&E3zL|VdeAgqgW6H
z+G-I?aYZudtFzDJ@>d7ZZrCEmOoi!*j1Pu&vPd)+<`Ep%z}dYPQnk;hIJ0nz&$~|!
z!#hrH8VJ|In<I3$-WIOq$FL4wUrq&hd`hw3)1eK{z405;3UzVe^^2wv6Gc3hliIOz
zhJqba>LIqz^st*rC!{S*35k35)!mk&qAxr~-iX-%KaXaH%w#J=iYdQM_!Jdm69fMI
z!G>rX$p~?&RKdD`#y96WsB3xWZy7mY1P!sE9FfMge!M@W+s{z(P0~T%G};8@8{dsR
zHEM{uDJwhOOGQZG?%D`JGgMoaiu^pIj`TYr&qL2su{kg4ng1hmY|$vn$TZVHulmcO
zZCq5m=$KKwzL7xCS^v$Ct2MCnaPxadCkk4wj$Qv94A7<A4)>tf#1K`NIsJhaVj?-@
z$JTO$>(u+%86HhMyEJigDog`G8$x38AFkCIj0xU84IHMe`(56p3a-{Pzpc7f@R{Er
zzw>|wk{ds4cp#(<jv%4O16gYZc_H-T%3F0zhq^@Z=_|m~W1%vm!wM<ICneOU)Ib%R
z-#O|o3(<s?|2!6~Fm&EPM)-#+YDIYTp7TlJQlWfY`(G<W#Hc6vm8*c1NljyI5ryBz
zivw)~RuFNnQ$OpajIyctu2b^@un>~}KKIZH>l1XxE{!RokfHbK4QFob@99$6zQ+no
zI}(b`_b4D?+dcN9&CEzJGnO-vvVzd@J<WBKa(L9!l6~ak3UR&S^oO{5OPs&T_ain^
z7G)}T25c}x+%Elbr^?e3yqO7Ur^lp`)zjoq8#zQ=oyq$#I0kH<iSEBIC<Xdh?SUBa
zcEZfJxH0A!z^Obt7UQ=Lbb0E{4>W>lw;#L=apwUv8Gf67Z52gs>2gKO>$fz&R`#qa
zf<UvnBIoyTVQl#GXvlv2GwrLrLZf7m1^C2XUFbFt#GP#O@F(KmXeO3vjf&^YA)g?@
zc8|i3%h6`}*~0y_S;orvs|{vgI~(d?UBLsn1M6q10{Uss_eEWqn>WSyIp+iGw{har
z+r3Y(*Z0xn3;LVg^-OU-HJ8rKpA8(l_%gP<=%pPV>0_!mXo4s=*9@mBW^AVuEL&aa
zrb&6-5B*hdjJ!>0!QXutaeAb@?A*}~+I6q*NnKpV=pIXvOSh#*<`PTg%_D6zKk=i@
z`a6tZN9qzfBP+yf>1RGGUax7Lm5V!GJu!p}s}t97{a+%v_d2z`rG~cWWpcKgh#^v<
zXHA_L7l|^(_g3#OpQnklSFRSs7~s5PPBwkn9ATEb?YBeh10u7sEivYsKFT87gEroq
zArx=h_(wf@PJ}Z!7Tt5uhrtl<Je6shXx)&qZ&!LNv0`>DRlG(I3!fb?#b2Ky<Q9J{
zjpnx#+(%DlpV8FAoab=F`=sB*c(=rn^uaD-|BRE;uOeN%dJ&l|ZvKm~<d!d(lmAA{
z_<Z6Nm(j&pr-Llb-zEr&irbyvwZ9X=f~GoC1v=<SWl+o=7$>Im5Fy?6gXp{1Yqw2S
z2cMKJ7CMP>;?5%l3geL>qVq`kA^TfY7<`L5YB(`Q=&78Ni_{$@7H2pN3Mf?Eit!sP
z9~>iaR)6agx(Pz%d9;i}9R(FEtOg+p;{-b=<9yM`FX8}i?Ju*n{a#hG8ZIjyCpO&8
zQYt?@MeJSMuJ@!iPFo$;Y!8|sn4T$XR0>ZMQy!7G5+}5fT?sYaph-fu##4Og%?vT1
zu=7QXj231-O+@nE_(dGjFquAdd5%bsT=lx`t%>!|V#eN_{!Lsm6rb!ny+A13P6b=8
z1}rph{Rs%4BKBy8mJZxrBD~AJXD;@tL-ObN2b+*TMC<5PGHY^~c;;f5>7%BOkw2NN
zjj7W_CI9NCpujZ_e5<_Ve^d=W;&zV}zn&o&HU!dg+3Atywkh*vyDHwXdb$cw=7{N2
z?HiQh84xAz+;CS{6_x#)ObTi9#KD$xRShCc*nH?zoMWyEtiC<TazDICsO9iTO13k@
zIC-Mx2eS&U7<&$13;0Wn&c(jesbz%_<CBLUVwEw`Z`5=!{vYwpxN2d`dv-|3ooGy*
zRf2Z3`jF9wRbtZ6^_8X=7gAcjvYd%k0$;N8gJ23h6!Ny*th>a6%-udOFS95ib0j3k
zJ%<5{(OwHWC4AWA8Yqx@MG-9z^q0QKGr`@f#e7Ot09hO2_InbFkUKQnYu&*Nl=B~z
zYZZh;F%y&fgaY2R=ZA?rWW`mpi?o?sVVH;-^U~c>fQ$Dp1EqR)IELGudvI11n;m_8
z4Gt*a=N7%djK7@dzpVDH{INLdjBWKbToqvdh7y$%#RERM0n&&|5(#wUCaG2ma8nwu
z*?oo&4MSJ^_g-3$<{wd2A&v?Fhe!1?ivac(nvV<Kl|ilD8JUbI1xVL#lJ6`Og#9T8
z@r~+oSTe8b{qLay=t{hV9JULC@!LK#{#WwY^yR;qyAp~}*)U`hXCsOc`IDFSCMZI&
zXu&qOToEIN$&a?Ui6i{d#AL3AGIocb&@J7kgtQM_2aq9wUbldxR6AAJRhHe{6s3&r
zz#M{UVvPr;WOf#9Qit+BN%P_|6@+z-+nJinz~_l`@UBozaP6C5bkbErjbljhg&bM*
z_wO-&k*STB9;3H~xirARKH{~)B9B)bOE%%16b$rOzduN5A?ujp#s1?8=n{{YzS~EI
z{8HawNEij9be5-l`IW#>_f^lVO9!{PhYX(#Q{nV&{3CmjGO7y&8h2IdB96T{>e^*p
z{4rXs`eLAp$o;m}Kf?8pbJhRe<3xS9Y!sVWBGn*gt0}s7Tn}o*Z>DV*4N;@;tMId-
z2A0#_7+qA;$A4LmdZ=y2*tIZLwR?@H76RI3X2tap^}g!+8AUVHxb|f|tkJ^rS1)%q
z-Pc2HW<W(rk_9>iUj#*zX``Y}ojg6F3pT^8=huY+pA;mnb81kK$J65&^g;*0-8pCb
z6D@I6@TOL>Hw9<1-uN(WpyE-a+w;I<Yd)JAQbY5h;6qkgcqpSb)Z}|SlHIH^@Lbfh
zRg;2-%xJboHg)hTmI-ZJw8qF~&s`nG+OVtJsu28E2^%jm#8^exVE?-PDFV4#(Avd#
zUoue+_g1aA`0m=^DeYLIzJ(^zo*(d1x-N+ftquqAS{q30dFW_=O&#GWxhg`hgs|71
zB_b`~2BBJ)zx%J{=LGTd%qpAL=6bJ0{Q)l<=vKJ(M|LaYa-rAkznXtUk3-0#Z*$gQ
zIMt!4*s2JD11#|u<@$*Uqh;IXcxxCRJ!m3bEstG!xw~wh^wUygbB?4hS)p?*KG5ox
zER^!u^$x$9qb2KfU3H1Dg0DSW%tsq(JRZE`IoU`@TGj9_@qD#JIGyL;oLv&gcSuQV
zZDJxHl|5C6a<arUWBYCSYEgU<`N;dXgq5u7E{Xn20*Q@vub3Q!5WZjkoBkDclEQGj
z$i*0#qaSt3lHkYEPTtn)j~wL4x6Y5ZA_=UE9^ON@oeR@mQSDuaImwE@DqETkT0kx5
z^vDAaR`4~S_?h{HlVn$#crS3$95D?Az48VOIF<Ik=|UMNDR(6;TddR!Mjo%bUq1dz
zxJMRbE$rbW-%Gr+(&;co%n;*4vVWSeS5*F6y^fO%`R1vb%V`Sd{HOr&rz3<bv*W>(
z8V+*3mG-X$2NQJi#pzb~brT6%)L%h<9Hh&Jf-Oqtjj^HW^O1KO?h!%VlX9`#9OO-h
z>HN-qBb=;0Q4QVqv{kVd%cu|RB+Giw^aUd$93B)uxm~uO#&V<YhIj=#xoKMa0^=n^
zEG198d2BmEGd?b|q3u39xx9{ZSNdNAjISIDY~S*m)*Tez@S%;JJUe0&t{r56&&TFP
z*`G|)gq_;5(?vN*-rg+1@(z92(rgM}f1aax`&LM{CUcPar+!YgZq&zXrHO(!jf*sE
z=kfQVVw@zSoriq*YdsJhIlPr8muck&*=@z2ILXS`%L}3QdPq6zv(?;Sm1dR_CUUio
zi@a3u`5*0_F1j>N3kna@kt}DE3e?-UN!g}=U6H=JXtyH8>!=K53Hhh^1V1l%->AJc
zX<P?2ZNrypk1~?zivGd|J~FmX_?T$24y-*Z%7foBk@@*i>(qGp$*q3jpWLN&pwlZ^
z+@Z`umY(SkWS-|I|62LlMKn;cpV4sP=NVSA{aDrVxdj1IUTFIG?NBQEKfZBuU}q<{
z<fwap6A~h8lf*@R#i%gpDpERqiG$>cGMnRf5+*x*59m+4rND5nRH2*&7b%sm(B^kt
zgk)K=qwmR};8F0i;_Y-iq}jQ<t}DV~WRn(_YBy29ps+vVL_aU7YJF8f{f;<EmOZaB
zm7>5%Ek8Nn4<A`8G`El4PlBuq_r2mYtPKs@kd+)30n*#klFZSOBI)*AJ>OQM4a=z}
zYOj_cDR@xwN}ifDdE%J_zf6iYZf&sexwKn|EILh*tGO;iUb>fmqwt_McAK^x<!BHl
z+t_k*QW|8*C*e0j*pF+2aenBnyQV0~z3tAR?UWq(cd!1n9TnQR%QYM0Q6WZV<XG0L
zP!-5s*2#hY=qRwhKJ0kMWgU5Z^XGY5yds&^VbN7>O2Lm$(VcN@k|f2tc6q#8iCpIs
zWbJa2g5o!as?)lp$nei>qYnuc@<v^$)6*#mwh<N_9nYjmGre?Xp%PV+$s}8HaSs(T
z+wR@*=$9cI|J>QpC!|h_(5i!nIds7CVlI<9CQF8i+@HP@t3eLEUErZM=)nI_;eOG7
za-`4gYg!TSHA$ZOSK&h0x-h8bolFo?AW!=LsAb{PCL?MY4x60N!(~yoOH?gIk{UX=
zX;g$lp7yr!ICx1PT^y>K8n#NLV%UGxVrM9%)?eL})E5R|?4mH<_f#hPH*7QrAEl6g
z&dGi2;534@dD2~LKNYg-$b3`19F=UjRq}Xas4=p?w&cEdQ6*!3<R|&+P)UcW@+Rd@
z6VzQW4Evz2Mshw5_1-T;B{!=dondq~L+5c@;mbp6<nH-*2TB?#q-aKYA9JHQUPnCT
zDLJN24xHY~nqxyD{|5j7|Njh^cR1E<7>4bgy|Xv3@xJ!{-DXizNP`e1(WjImR8lmQ
zQpze4nb|3kem6-|W;9SqcF5j7|6YGQ&+#13aa`whlE+8fjI;^(V&k)eZ;*m>DnSLV
z3R>7>v|aM14FGqy%l#j+>d5yuksEz9@ZN*nugZG?c9tFpy{N2?hq-Ub_&8IrBj8_1
zXMhF7*weeq&QZ`Yb6PKsQ582FOMD^UZ2<xg1u|dUq@cfu{EiowlyKT|aYw(7B@}Ur
z?A$i1hL?vP4sDo`$Ep6`au{d{va^v^Srj##=r>Ec?<I?ahc7V{UAF}6wi%YuS4FXC
z6Z-CINeodBEgX%vgqDWhx_uHVXvoFn=e#6}HP2>Q$TOB8M{yCZ`J;r3N2XsVB@1HX
z(&DVF%X&WjXw!VMA_`{+7H8!0qE@LwMVP21xZp$DQ&2#ACq_f@gB*CJ*yfA<Ckyzz
zbYEBdmmH1=#~3aLGhxcj5&6kb3s5TB^>hBbEOI+p=!ed&lF9-Xn4&gXz))pdO0|j%
zzW-2mPN8#_-1(@IBeN1fSkE!{#1l#U5E1#IasLE)L)=&HsuRFo#a@Qfx*O3w+c;Uh
zt)CoopKO@=Ou&}Y89_v+C_YFSHJ_O4A<YL8c#>EMko4!>^YMW&mZXpSKdf#inN-^U
ztQwkw*jpplN4EuWre3h1;M7Ml{qpj}jX*Pa%l~Ygt&|_TKO}Mx8L!C&FNY5%xu($Y
z<d}lW0xweDxwQB-y&@ZL?Nv|eH-Y4itg)&NZjAJs*||#BKng4$ot{%Q0oUKJvtM#?
zp?jQ4ew+ITGR}ey&mK1h{i>(NUvIKw-&)Ic$HW%$2<5jv6^&qeIhd~BgBAC|T+w(?
z2YIyHGHHq52<8WJ89k0O<8ptfjyzKr$?eXnQ15RDPGfEn*BTh{J0-I<lJ^(+G5J5{
zLvIW~yX;VLr7Hto6E@De;@n3Hzb|tkRSe)-K*4!iDSBK=@ABV44v_f`VkNn8`q1vG
z%iknQhui`eLnOA2koR9ywbL!=f#c5#yMq^3Nvi`Ie;>|_kqzEoFXtZ8gI5E#QuZ1v
zWWH`fg89CGq)X9#p^M*iq0^9ZGC*;eq#tQM)#floLO{lu@EyAFfJFCP-z8Gm_wE4a
zwi&Xvwe4ouM;*|QcKnq&vPkaLk3DbTHAe=&@|`}mMF$oldw<jyFOq9lZo=+M3*;eN
zS52o++VF?!$D^~Jry@rg+ne?C7Gz1Go!St7OOn>wzesBK<kkAguaYYS`;KQnXdspC
zsAlT2MAB<s6~4Tk4x?7284LnxkSg!@plW7`^b0ZQih4+oCSq}o$#gUb9E!OH@0ZE&
z_#mZy9E^D3&8o=oT`Jt&`cL9O%ldo!{8JfYnNVv_xQ`)?3T1Z5(t9}9$UwFhuS8`Q
z%(P<hG)&imk8~HgPMOl7XPTSg(ci4tY%V11-=_(Z4sjgh26}XVEy^ZV$BsghaxZsj
zYl0^z-ichK$I6wDK5lO~@wGf{%I}H>FeE3vTV!O!yB8JG_2)KVV`AqksbO_Uk5IW=
zPGLeLv!DM>s_~-5Wr9w0r#fWU9FIPEf*G?PpVS>a!H0wgla25P3QSpD^xoFZf`a#R
zTfTqc$1kcaos13?=uj~^c0GU%uZOhfsJRPb;;|e4i{I7YsgV0ul;J>r)j2^YI$^wI
zXWe0cS`9Y!NB5PkapF#=6}HwlA~^Y4v@=>s4HPQpT|GIuasNtipnQcGHl0g-9sNfY
z^s48x!sK~TyZ#>a(ff_~E%buU=}J|&wp#w`=UzT!@H*ii#UX{km)=vyGE~7+c|&%5
zAwNn7Dlly}k-^gpDIdGDRN=slfJ?@bf|yKxpW?YJi#G>0N<XVtg@)T(cZL)QA#dX6
z{NE#T7@$S}){j{Y25$~Bl6yq3?HZkTtgix2ywBTmC_oLw?CuHKtBRo^v3N*kP7x<0
zrud4M)Id+4!(>u?Bf?B|S!b#;ZmrwB@~oNy>W`*Y*|j9`>isi`uXe2Wv+#U&K&d)B
z*tn2KIVg>t^#>-d3sUfwi{{?hUJcM&et%)DTLxR%mOg3psG~BGFL~2d3-$yL+l7nD
z;iZb2h_q}?{Fr&dgYOCz_VQIPF?h-2Y+TX#W*QY6@=29L*J*Himi<e9sRGWutNv)u
zM8he!=`r~#ZMf0ZrGAE83DNF_J@JZ$6Km~9*m-rKc!&ONcW-6<wU2L1##b9dho5(C
zi_?Q+4fb+V6)JdIp3Wfsw>Ab(#eG%PHh{N^Pi&tqt0Mmc**bY`9lTyQY`TBe5Uy{~
zb7$3Df6pp?ar9;#jNog#v({=1wES41P*BIN?K)DUQaWgLdj~sFV+wu^JXiG9G_dQK
zU*U&hZM>E9v*%5YIdBvu$fW<$Ku7A1b6xW^Y_~Ly$+G~+tIU@j*{6xw;|4L`m#D~B
zvC{cP+5)O2qWy;xHPOuHOk2|#Ej+<BQ5D~B0qI?g*GjHx;^Kw{i_#=@4El10dmzpd
zBD(w8H|lEQ;|zg{6(3c+=j1XJD_{kQL-)tU?r5N5{Y9DfHAQs#_jbEekQE%U?h!03
zRmb0H)&8~D<#6azeY;PN74(Jg*mq~0v*%s(EjGDH;W0_)Ldr8Mh#!rQXfRg8mo_^-
zvd@Yj;p)0$DbotP9*kENSE-<qhEK{pVSe;!^EHn=ZUv2k@t00*R7T^E?74r++3|3e
z;efJ=6-=dlpEvPS#JBdwk=1E*_^j&Er)%#mfq`+CMr46J3VpxaQ9JmL6x#G39i68o
z1gq&77LCawwcC7nx7BBIW9B1v!(j_(jec*|W+a120ntis3$29K$k+wNV-_IFCE>fM
zB#9H3ouoVjh6r2sX6=C~0E?^x!zbv)(XWxI+}vZ5u)X%Yt33pu*Pmg*jY9;zGpCN8
zxjIYiZ!T-lS|Y&8L)RnNRuHo;O*N<PSs-39os~)8TIZ>TsF8CeA5JMs?~UhOB5HK^
zS*j_T!&c^7J~6f2C`?lhyFR)^B%Kd&Pq#4x0axKbi?bX^36|jvkXt5hQBu4qfu`^$
zVePj^CJWYXZP#k;St0_DZ+5IqGl2}+&)WACMofvLDZjQ|B2u0wveI=L!)Rft(@s7*
zoIPymdnj~~xN&l;;6q_!$m((BHA-0|hrS0>yJ8oJ-KRH~Xzw$EU_NnbZSf2_d-x8$
za>6_@u;FEab-p3k@;)-W=JJnByPdP2?!g?feQtl)(G>$QmR<QSGd)ap$Jo*(Rm~DZ
z7g{enxf;OT1BU&<3Vq~Idh0xl&Ja4L^v~};(Fe94D;DR?yU2gAn!{=`L*!{X7mbPN
zga5_f1y}C2klul@3$%i1B80KZM>tXsRCk4ZnXp1KvB9^mfS4w(eO~oy9n}TA@9jI4
zf1Kdo982+DoFY&|_wCp|UAWzvrbp}}iATPkcdvI%5!xabJk8s5K#gzD_P*_nL|9J#
zn~DA@f^)d@aq?Cjh`by&?);;jcu`hR$ss;X+%uii?0KgRgIj5W`YGQC;|B(%#Hndw
zs*(NqUwduPm^GhIoBl!E-S+yx;?guhzvbn>!X_HHC0g!nz0gZUYSra86wDAj8gtXE
zyJ>Lb@qDGkOds*{Tb<~km{~&L3ajwoZz@Eh&UE$e0mAHpWm5mOIl?h|51O5z!oZ}k
zOGxDq5s_jxn2qy9o=I8o5;GNETy4q>mK-H&2bDe_kzXVn#(Q3A7;1rd`mK|0H^+#G
z@jXrc&z1;L>JW`TKoe9?OP{X3HbJN_|M0Uvw?dTc{8M>9O9N($UJD2O{71y_UsuvQ
zyGCT&Uy^9;Q-^p-*=W5@Q^Zh1dDz%@IymFLFRY594z*?jy#lYN38jULW|pE1kZ*2W
zbmTMzyr=21Hh9bu!PZxcE}UWnxeKx!oS)PnW&4Dxt?)dt>FZM>Xn_gd`^p?`P*sB{
z2cs|SlM6)P?}uDcSu9XycCqv4HC6CC<d^?#W{HUMttp&2%?9^6RD4V3RN(R&_vQ$t
zRpM*pixl!K2lUuU@n`z0z+Ic6x^vcaQ1a!!hK#3NaCr6>yHx;XK$^e5GO)h1Px6hY
zhmXqh3$jW)P<|<S*d#z1eky&O>Re`k^69!v{vlr2y7Y3&Yf%a04YutZyTSzL{^sqT
z_2h>V{I~r{f)Y4Ry!x<g!U84FPmIJY3c!+^X8utVCD^_{gF9ZB4J4(aH<VWkL8;Ug
z5$*{^$eXonJt4^f22$eE7qUfQqfS}kt|y8RtJPMJ?ZO2_>X8xlmtt@=+Fdm8sv<zA
z{zDJshLP^-l5NZqkmKyg+7+w_CwkiD&Xn=O@uP|Xn&+h8$-*Y%tW%1>pY?M%RGuFW
z+%}vRO_Txm@k1}1ZY#oUBKgU)LI8$e_kUO8kOPx8-qH<CiqMo>AmiyT1j|xCc6cSr
zL!`U&RF<X^@J+8NoUs;xy}R1)lvyi+p~uYLv}a0Cu%o;Gw2c^)JHN2E;Z%kX{|(2R
z98(7AZGR7C2W|xSw}au5BPw7J!YzB!Qw6v*-UXMSB;4H1`uzP*HBj0<)zP>9kJrQX
zT1zBlpikje661h6)c;q=ltf1Xr@=?Axq-4E&8$Qk&1!=DU#&}6rw*SJMqbpl$boE`
z{SV<NDr|PzSYrHL6HK2rnO?D0fS)#1N8g^OfzuZGT}N}NuoNA1z~z-9{GC}|?hDd}
zG*y-RTLiV??EzY(sGTxgafw=q*sKGsj{9_^%XC0$R=(M!Nd>N$3)#^Yb)Y6Qpf`KH
zPngq3N+KQ9;CM%&MP8UL2y#}Q!EggO^3{Bvr-}mQ2}Vcu)aU}Gmv_7=)d<GjDy&M_
zHK2FHZKL~7b%AedtjfO6CeYSikfKY~1pUtE#)9j;L!Zw?6&5pxvE!-XO0rsT@Vdw|
z@d6!K`MAqQQw`uvMF`WQW-S<*zj;gY!TQeTwmfWPWC2DkufJ%EQ{i2%&-QQ&8cfE?
zbVzAgLeSPm4L3O|EE>Gva?#TQ)q>CQREBjfXX{ApUeSV{K7X#MPzty$<|!8ETLI;Z
zS0<;27DO8ev@V=dhN)v;k{-%i!yU(yb7lUT5S5iUU*jeZobtSljsezSv~7nQ9Yq5Y
zj3j?*XGwvo@XkV=3)Y}FH**#9*8ff5*yjhU!oX8<ZZ`I)HDqpy`S5c}6|`$*e+1I;
zg3o+o{tbO=kSne5*ejv}VXGBC($X10xJ{xW=7$x0k?!@O$SJ|4JIvv`*8UN@G6cNG
z*7rkbP~f3(Sp~qb74qKdEh4Y*6w`-kOVABx)nAs8gElqc@kq8&lAr&NkKVeE=lN#s
zys9PxoHtBWKAA0$VnY!_a=$HLA4O@)hHDa#w3FE@?I#@uzk73N-!2RI=EJX5H7N=n
z8~5ZzFEL`Z&Ku{{MgZ2;o~WJiLXe)uCEz2^f&+bLTk<vmB-K6Q`g?>QPVX7JopPBK
zA8(0cHoi_kj$R%8TOJ<3=G4EJUD=TD!>9C>JLbUqDx`9>o*jBy4!v(GW5a%7GI>1D
z44!6NiuuhlLB{yeHJh4s58yWJ`}x)s9>?^JcBRpQ%gF?q!%a5iH+2x(IcWkl7vq<A
z1uhUb|8%%}Sg>J9$gQI}iYD+OFwa{uaFTcyGjgEt7b~Wc`C1Cz#_;z<jKx;hLE@kG
z-;k!WtT+<$!&EHC2-2TTr}S<4M*P0?K5Dl-D>m#QS$<9#g6T`^#>ceh#IrlP6^A=n
zkTT-b*}KUQz$S7F=)NJ{x<#rrGg#2nvW+GEp#cQm=8P~c{7$ySJD;<QW<jpm+a`|~
z4PfQFs?rgWKcq=*d4$HL^}ImiYLdS`)Q4T%a;#{C+&XTkdnAtq+ZZpfX>{s=TRP9U
zRo4V5)Air2>Ax&^)#a_OlARvZM)~QO<W7;v;!zx%Tv^fa<(L0<qAr;IT`CRVG)o5j
zs^WgI?sq|BvKdLHy71X!vv=U@d2)|W{C@F7He}X+Y4Np22PF2~6iHQIB0ttPUwI$I
zj&V+}<2kK$;MmjD(U&nRq%-w!RC_Q7GBFi`W|KBNj5gQq>sliv9k#|rWN_l4N?#9q
zPi=_o=si}mksfos7Kd~exX|HmWyXnV8ic%WJZR|1fEzV51~SfYqqvqA-Mcs%F!}!r
z%DTpgPrdDjTts>ClrNEVQj-S02m0<Lbuyu!Sj31v2OqXk2Zu`AsGv)?;uEXGf^LBc
zK{-PFI282k;OnzgczVA5@AphrG_0E}pEeP|Cn25=Y*Z@9b?A9~rLg08;h{~J&I+Q#
z{E^NNO<HiydX?ebCk|x$?vvNmBZQCFoHo65&;niVrnAF0xbUJKx#OIN2->C9<cY8M
zXT|P^?@k}*#=EJhFP2tCF>a|uX3J?!;GE3f+-b^-<*zcIx73PbT&Jq+ys9QVY5Zm2
z?!t$f%1ui9b0x6-W$g=|aSaf#J&^5oo*%>i2@AKBOCfX3k%f=%HNdLcH*VK!0p#9Z
zA{lyI23<vp>Ryr>;2ojQR4prnAGh6o!jdM7y;)!0G&XC%QtI7*jfuh->CYeJ(<O(O
z_i{P`y(U;Fv36&vh+>CPam9eT0`B&Gj#Vz2;71u2<N7RyrdKlbUE&lmSnkEBag!zt
z3vPS;-~Dy3WD38VyQ+j-lM6arC$*r3b(Xj6yd*k*cu$=TQ^Cxr15bA=QsLOjvox{u
z(x`U2G*fF$6@_mZHhASzVdU;-9`;5VOuQhyG8aw38^v|?U$@Y}%ie&S@sBLZS?{Ku
zV$;ADFK_-2oZ7JXi>^O`MIOry#~$jO)kMZAfy-Y;v>{ah#1*s@FiD-~D|fdRny%Qo
zv;NhAU-OYw_HK$OTk)Vd`x+I)g*#$HdGz4QjZ47|F-qtq^XS@Nej08K`{F3!q!08x
zes6*vE8`REmU@pc8n*nhGdx&k03O$0%5QB@K}&TD<Nj(II*#`*GN~KE;IBV#?=-4n
zXx{i>TQdzsABF2+r7`^OPqJgIRzrL9tpmr)X=sHPrTw;>0v21xa$KU|u8pm)iacqk
z^L&3W+mIRfI`dR+Qd7syk<`huHY%$7Mm%r|Apos^SWVwo$H<giJ%3&*Zac%UJ9FK4
znidCQ4|b^|qm^(&w2mf@Sc!j)k+Xm)JL#^Aztpk1CZEOTF9oyAf;Y`RwSXXlWCmJ+
zI_jD`d#-t@qQuPZ9e1ggaOrv4LYR>{Ixk+4a(SeLPF#Kw{?{zw*H~t4c^n0G2h^XH
zwaO#=nbii4ck3Q^q&#GEu^K9#<PP0VFN-#LVGjBImLO4*9u$<Jirl}ey<+1eu+RFN
z(ZqV5R=c^8JfeaXZy!#o28!TeNu7_6KU%_mtH{A5F=edoZLhdo!;jh%omHn(En#tO
z=TdQrA|4P(O#-P6*dAAO#C4Y?r2j1Jjx|=muJ0ZDZhT=z6`@l++n6kY@2_i*94UwQ
zf@MM;>{%mur5mfM*%olGB)m4>Mi#$asQMc!H$!^Le-HBk3z)mUL!&!K8uPtN<iC9w
zBCpm5gf)ByaH<bYINT$FIku+`HoX5zE~nGg7y1E+3awVf>WgFK^;IW%vFD^$RpHR5
z83H_h=Y5~75W#%M{94>k61{iITM{-B@P|LHB+yF;!8YHJ;lCC_VOd1zmbE!>%O0B4
zG!#Is9P_B7R-HsKW0D-laWjxEH=kxP=ff7Kw>5GC-w5jJdxiQeQy3J;JK*)38~>EQ
z>CKDyM$qqeIZo*|0j}8kHr^~w{JZZOvlshUqG5K&UjL0IKy6Yyd8>*I9TL=>J=Hsi
z;shqUbDqZVFlPSkF*z1IsmF8H$hwvA{zv_=HO~mRvOPy1bTFd2v(;x!;}1mBQ6<Ai
z^Xr__od~UOp+^V1u>7SzNQgw5eRpy&gpBMHGM?OY$Wh-#xA#E~(fp$Luw;$_NPMjo
zpyys81@G7G_ZWFZT02UFG%_2&_$CdBw?`Jq2UdcYdiiR}&3<O#nuqm4?(<3~kJdaX
zT<TwR;>Abu>*j&)JS}=)Ez{l`wq=%-Sy9c%*J&qT4!JtnnCU@E;I>}h=hNiT*IRB1
zGk+tc8uyH37wUp_;pu?+V^id{?;Q)ptv|?^pR!H7a=Os&wKOUnFiG0mdUOaj_mcFy
zw&UI@I^dG{c~5f2KT;^?ktu!EAM)f_Pf?_>4xFnvz&gnNkL+mvk1M=jkW6h<jo*G(
z8>~*<8Fwt2Ag@>$ZGDqBLJHZ<&s2+PL+gR(+Zw|s$Zr|ey@OR_Wb28q14R#LAhlTR
z%^5sFzDc<BpmuVC{2|`EB0{0TGu!U|y$KWKyhz-ApQK50>R<1U!AdH8ikPp@{Wd}F
z^>NbGb($t!bN-7Ju%`mgPp_RPZT^v=712MpD$J5y&t>RjYP7(*Ejj38+dtBqLqLj6
zV4hs);Akrx)r3lYj?3oJlcbvTTQg?)MKWsBCf|2*nxMGNtNGiWDKa7?al7W8W%6#B
zV(oEH4M<epQLeUr-%G>u@5!oF(#h6Jw(OxgY@Cz|)I2&v9#|8p&&{U8I}5UqJW2tz
z^Uwb6Et@4bTIZZN#>s$b%2B=6W)!I8&Y4M)oF_ZJ`ZfQJW5l{`^))>SYVh{aH!Yj;
z1yXC`RLmV+X1wutTV4A4PGuU8PNAJzB1gIcpGecO;*-AVuGT%OkZt}jH|OvQSrweV
z?fMKG>RD!3e|e(<vZ>+b0r6|(*lpQybumtS{*>=ORdW^KH>eZ;F;9o7cjO+W9o>LE
z_FUEbYLuZnXM(3}69cO5ZlQIo@Sv6)n>f{08EjpXr&^ye;<m)r(CY{IFvfZ3-RQ4M
za3<x3m)cflw2zW7iW=cZ)NPYF8L9-zhOT{oSXuERy@vMlyMkDuy(we6f)d=G-Io_K
z#)cfFC`KF>M*8Ecp~XFl;5&ElU;-m2lD(`f+P<PlyLcupEKd;}7XQ4`+_C{h!ZXcF
zZi-`@PWsS7j3R8B`)zmh9S_P|a@-+DByhn!^xf~%iZIu{^@+0u9|j!1DL@I6#{Q=1
z(Ie4{5ObTJCw;vidxtu;)TCu`nl=@&r%(}wNjskRZh{!AYu2-PPYzFSaZcVas|f1b
z-&`G&6h<=})r>)X1)M(2FrIoq32Lc!*JqeT(Uv=)H)~W8Ut1{+Hmxebhr0XMgN4M=
z?C{#ge=n3#kh5l7>w_{_P{;R2I!K@z!(iR^N2)j)&h=-qSp^vCT($%kNui^@ZG2(I
zIv>=HY<or2;J{Gnz~@vMyz|@T$V7n#Qo1!}WpXL-aR1ei#3@-^8ece?P_2a#J9$+b
zuV}#P;bTL&?(#VBL&Pw>mx|4TbvI7bYr$jMa+PAc0@7EAz1HofVaW_nx}p{hp1uvD
z{@JO7Yw?5b59+m1_1-I))Ix38#=kGlu1gs$xt>^i$LXNNp^Smo>;5-u=UE`J&bdOa
zdF>KST@35oT<U4255IV%dM|!aL%k^dTWra?n0?h@lzDxJdko&@kTy}ryr7jL(OO;P
z8@@kZ9Apfg_wE<lMQC7}NQCcXsxBt$mzV^Wm_lRvgPFV=ny4RS(;X_Si}ewYx$jS!
z18vg(?XaH~%3e8L+v=c$7jw<(TyFv79IVtYSk}U>HhJY#Ic+2yE;ctLS-`N`VtK6$
z6>aXeU5?73;#FhmF1sj8*llgXbyk#$UQv{Gi*^mPq)&Ekv$2AF6QdZ%w^}&l$@iju
zK^1)(o{yw;SwYNHZ$cBB7Tzn}*1m685u3YCei^W|hUuis6W`}F5Dj<F*|f@{g4)%7
zYN$0-y!smKm!^*I3l7(*RBS|Z;}AvubJj3+Y@k$?je?09!?V&`1o3#9S96-XH6$J^
zOuS~PianZNrLt+9IK>=leoe$0DpS&&GToGsQ+!fRWqOtTG#amM|I7-=eG9wP_bVdX
z!HVJ<*?zJ)R*hNT$_irbulIcPlt-EFPZ8g2KNB~m9(yp<S;9K-C9ZnQBF8Dt`#k}Z
z#F@&KXKqI8xm(*b-5)7r!w+`!x0i`Lsbr!0LJQcQU>TUMu@SH2j?{DrF~GUPffq^Z
z`^V`->#KcvBB)y$^3Ao032gcXZfK_fe5AD5>v;+yA6s%!VJ-{oxtwxbKp5bzi$agQ
zGaveHzh&v)%nD_)blMu41cbieYxCH!0js1o%GVragEZS81;!@kP`tV&rE!uKRXPuf
za^$nY!E$?Re`hl={TXao;>3t-+1VaU_t{|4tS>3xlqr1U<!=7zuu9fmKiey@pAEJg
zv$rY9Gy(SG9(n^!vt<3v-M_^+*kHrMN{wsZjN#Lw_>!~u1Zf(jGx{Qj6+Bjc*l!Ux
z2EIH|omIU)(ngXo#MhP;82&7sBD{@Y`?njO_f}d-Yhmx<!f_UeEmRJCTWScA17Dcz
zlMWKUGe4Xk%4Y$`cCC-Q*bJdt?0os-oh`(+_g2rd&alApp1i}y4;sM#00030{|uLR
zIM#0z#*w}E-g~?+?`!Yxu_|Qbr$R_1v!WyknUNMMBqfR{WsfqxPut4K$j&ITvS;Gw
z|8t%5T-S4-bKf5;)fM}H?jsoap?4aMKP}ubyDn1Ppb3}Wh<!A0oy1z!pNdFcriDnA
zkj%GaO%QOMZ>@PdhdH=^zkT32EtKD7Sh0Mf0kcF4LugvWKK`L~(Ac1b3^T?R0=EVz
zTeTfQ(JPouKgThvGjx!%_Oe>-mO4D;l-=s%T*rP>T<5K!qX#p7{Jb%fI;h?r@^~1x
ziIv~C^t#(X4+mXn!}s4-14~VAdfi`tvA7x2J9EVh5QmmOYVoQ8fuC5UptplP7I?(9
z{*Dn&6sjliKUIY_^D2A6gA~wLDZ5Jbj|nz}#ZRxQtAb?Adtr-UN;n#}Mt9$X1^8YC
zefZT(2L8@d7<C~Pq_LkJ^I2zw6O5`?nZ3y{w78hJKD!T2P)zk1xUfS=f!;<s0~tPt
zCE<noG$5Za&KZ4-1H9)#Pc;;iU?`(a>ds?Y;3o7uuJhxB*ZTZdCS6D%%sei*#zPOA
zmMGHvAs1Xj-52aRNZ@UHx<o0D0S@ZhR;5jHgJQvxw^V5=z%8msJa5MY?sN1^L_1y(
z7?-?1C!hikb|vo6iL$`aXXV=IgM6@`dF#ciLS=Bz`u#zcnGL4B)rUP31mMSuqeIA6
z8TzAZX!a$sgK0#P5Bo78Xgl1|^NUUy-26KzeO_}wn`55jjJXKh{PN?BR2LD}q;hP&
zjd4OBeVGxRyBLIJm#wu`5#f*je`z(!+>rPoV~M_99KKFG-%YC^LP=<uUi@7ii0_o@
z;-->>bAyVNG3`X)=U^B($H@mhGOLHX_e(*0`1sf+lQKLOeex{0kRJvQjm%woBn=XC
zx(v9VGOW+b{5a$;2q%7QG{jQNLf4r8yFbgy5U%@;URzxl9<TGBE59rUNgUQ=v-v9U
z^Ff2ef`lmK9u1d!w<!<lANGC8JwSrO552p3JmPT7fwN8{QV}`=o_Kb2lR%|jfNn!Z
z0(`3n<qhZvU^Pj@qZCC3<sIoGrACtQt5WD(NIVh#&E;q3SgL}i)?KpIX(=$Fwl)}B
zR|dz{@GGU7YA|tr`_EjGGz8<?e7|H#fc42BaT9guWheSh*2zGru*sLp^(1J^^1E3X
zpaIE8-qgMPEeqA#b>d5UWEh^k&A3#j32_$=K51l<hsh-EYg*}Ka3LIDdn>06lDw~v
zZiy>EbCBu;)<T9qflh7G1v=pNaru|2gd%Xt9DaVcgA74#b>9!^>A_%N=^q^$C2(5K
z{5+FGhACESUXN~l@Q7{ZHUFdpuU^)C>eVMh&f!y$GyaA^^QBCd=tKbVgu0i<ACq9d
zvPaEu4TFm<!vS7(1mO6@S@$wU1)}OEv$9J83}dAp)lU&XmVr^oFOCRStcPm}$Bcm6
z%(<pyfB=K;MX%DOmEdLl`HI|eBXF8#d*7B!0P}sx?&-1e5XVt6&TDTBV*Y11CYTBE
z`j6bpg<2WVuriFG%rl0iQ{p^3HcIfGaOk_uge2^SSv-vGHHHMy8}}956k$Pr!y<-X
z91b}N9<ZM^294;iGt#CCVCZBo@6sU%a#1Y1vE#<zLx~#??vn@h^rjbo+jyY=a%8^N
zJ7ci(yvy<Pxh%{w&<Ks0aX?(^n33l7y}6xS6)V~@P`<VPW+Rpn4p1drO2&-A+~_EK
zFfIk>#dQm6)AvD~VSbb4ZzEWHd@NPUL=qxPrxhM0{>4ss^y32YMj-m-vQ<lyIOuwi
zum0Ft#FCtu&2_|#VEpVxq;s_>4Bom*d#~sxHi)DWT+0Ajw*3Y>*M%UhF?XM4MF)18
z!RJAV89=z_L@>v30iXyzEPB)HAl84P>1=Tk213-?e<db);iPFN-}CJTeE8MvY~~(A
z5M-iMG|S?Kq*6ta*ZVG9M9)-Cioy^Wf`>{};y59grB43HwLV;F!cLA+#Q;=WJPd3e
zu!Go8HFsI)0IqD^a_zK-KICnr68S4xpjGa!Z>RPEzG{2EF!7NdRQi42VN78JUABad
zdE-9ZddWNT&X6v21<dH&eoqI_cC*yZ(DdL->t%ypQo3N*`LTG;m<9|L)3iVIcHr~<
zHeB;(b>P{B{a$M<`@l78a=?SG32%QB?y`()!z2G_77bBKa4?MUA+FWqevg@040yF+
zr&r(HW^f1N)s5si9+Qo`?{1pi4b*~a@ySnL7XD)IZ7EDY$`oS4UjwG<J2avGYWkwr
zxlL?sHh0o5{XJGFdQ<nNrY1Q01SB1`UdN*I`^9-ltymF!$!pHi0LrN`TA$ce%#P+u
z%f*o{tojlar5%d~I9xlot<JE5rC(kcdzaIXMT>}dZ$zjA^|)q%K=%@MtS50?nlyrK
z8FW)*uBd^jX%I3VUBrGvX7e}Jam;%8_9KzAYOoU5{4h^$5j!)XbCGiK7q-tr!t>;e
zDo_v%s41T=U`|#s+O`9~vA|{C7;Ar3uy$~&Y_?v&K%l@{y>kY0*0G&zT_8iih-!j{
z+ybV>BXPNN_z!lMg`2-EgbZ$n3BUOj7O>^R@st;-7O{VK=J*V$$?%|M-el?U0+zSj
zt>TimgiXKcJHc{y&yRLBKlNlSV14PDfmA0}uyR-GKO`9vxDhKV{Wun}RO(rY7}6TX
z-7)>m@S+O%$B(rP=PqJ}jL|a&VjGww%b&_;dCK7Y%_8iF^Aa|%q=@yXY+>Jhh!nSm
zi7<2fT*w2>WlVlCr$N_i8>^Uke_}(J2+7@<zQt-QSTU7a<g2C~>{CK%^ZZEyC|*sP
z&_A+@*;>Djn<%0H8iH<f+$$vrs~X5?%3Q-bN_Otp@KS+y_A8d&T}3D<Z7n;-ynzK(
zPk;UTa35^ShB<IJDgqz(cef*Xo0#*V_3Z%@8u+|aJK*<50dy-GPZgZ`i`|GnenN+n
z4t~_W+*OlMfNHVEq+-v1m_<wsVV;oz&U1I6<|KJw>GR()O4-F0-{*TBQDp*k1B3F{
z^zvY~S>)CCmjXJ_??T>NEHD_7(H?wV4)oDS&NEh2P<c*~B*4xNcFjT}V_b4Dap+}m
zBH9NHKa2DuLO8%$EX}7cUly*9uZ2iE&_I=y@6t^wF8I^*P9wxz7MMqjO)l`!!KH8)
zPW=*YIQ~d<j%Qs4bc)udmnj)w<gkWjRy;2(i|0MCEt7$+2|=6FLQG&BH@n%Nzz@=4
z!!iPqG7vF){6vEn3l#tMv*xN6gvD#S>hDg-K#+m$2df!2Al)#Lvf~#43bC6Zj7Ma^
zvn%g_!VwNIwVaecRVW5ko|)QO9y0JxXYke2E>8GINfBnRCjq(2x|f7*%Ye`1*P|A}
z+~7r%QR`DH3Cf)GdBlDhV9j`wrlZdbZcm;jG&@SevSzjE{X?>#>u&hdNuD2a^TKyT
zxnyC=cWF$0Mizo-Z-^V|3xdF(;V#ZeIrw?@`;V8kav;{29I_Q63`(u9<JdYC;A~<<
zzeR&Q)b9^w?->?_;6RGXzHdtK;+vlQ3XdXOYp|2PT`3OfsV@#Hj1VE;nqvFMo_?B!
zd@}~wB|*uPeM@&q1vcmW@9L%#Vf%|CoC%YHf}7ffWjiF;?v!>-8B~GwwPsV}HEFmz
zouKZ$Nd}Yh^WUxk8Jw5ZSh+%F!7@R_TWmxXJ|6F<Ed8ho%RdXFgs9}9W&SEAm#+rA
z4B7SVq3ZCRUO9a8ngV3_J0{1QsYA@eVaii(n&9#D+wjvp{W^7CTF-pBmv@s_9c#~N
zgT4;sPW;{;yk+T>pl?+N`q8`-=d*MnDf(7t-xDIRUFU9`%~l7^pP#J=WBR~u+P5rP
zq6{tm6gND@)Iqp!8wO=Ds4^odt;DIoY@P6>4P!MBKGUe!QV1|l#aTtcNCIt#{Q38+
zs=&S)@bh}95gcqi&Pu63g20uI0G1mh&<I2q4rLgFRYrxxu<%~}^5`+Hn?!gc#BoFT
zxCyxFPRiFcs6fM|q>Hw>dwx3@ZSVQV1o*wH?W!nL;Dye}xWlbI{gIaKa&1i^chZ`4
zc9ID1I(<)<1W3S(%hN`MQKk@diWVndBS2Ymzk1e!ARLcAuJ00S3Kc(=IH;x+;cC9r
z{mmO(;7mhV%;;(g?nCdfC=ms)_|{Zg+rR+tn)B9Dc}&64eZYK}EC<UHVayfBw=rDP
z>}g`D2|Vo;%@|UXfnf8#_dhO-Vp0zqyv_AZAZn}WC?81*D8i&H>{5pC?+;g&!`~P~
zs|s7$MY04)a^K<)*I&U)dp7+)s2GEqh!7f!5(VC#B3%>N9eh!~^=I5uBcOQi|BSj>
z5Clgh{waN=LSH&x*E8`O!M}*ip0fw}prJYZy!L4tbj+DEG5rpJljYxvRtj!Nt;mRC
zA<&_M-iF49OaLjXJ|BkG*+F1rcZ0{29#JH(-uWPa!CG}<%2yX=Xl@gFuKk@JF)Ds5
zj+8Tm3#GHpw=L)(&NVbMjGh7M@}=#DfC0Qn`hXfssKC0^*h6)d9#wOuf$b@M$eps?
z`cLp5rv7cB(6@pfwJYYU2Bhf0Gu|@8hJsbB;&9Abiu2ywd!9e!nskBo_wE%A%0Jld
zq$8i`79G0RXnGGZ>cU6bu!<o5G0aJ`Y)C$X4t;#(L4V^v9hg|SnAF(u72~~<OwGBU
z4%G-a4o^JQ26~=J_n3%coGQ5{f|7;~jnV||-~U$&Ob(je<|B3E&1RAtE`zja8H*NH
zanyoxE&0=q`^WH!|BmpI+i6iDY3-`+ULJmCbCvVA?i8Lkt}}3DoE9}uN@sA%X#z8q
z=d;ec^LX#olBqC$IusmpfH^o-0|@0UNjEE(aI-%eSEmE$P#rI?J%LFBMkI~?+61iP
zZywW(O8lWi{xA5CvBs&xI~#Tjg?$@%ZSm<&t7LlA5ur+=pjL-a-A}XPp<DQDqheIt
zaRwCBAZN80uLk;V0&QMDw()?oG<3hL7*R?3%h3ULHK^_luQ{u~i#JqRK6~QBgo1O%
zia$P9g_Gp2<GU>sXh_1%ovWA`6}b}#HDpzo<T+I%PeFzJPM_{>lw?J9g^|Dd8p)8&
zk(+u?ZyyqAaPqtUferDw3fmv>B12tXa>jBrH6obQ98_##N7>u_Gn$NhoZ@O9+ulcm
zHgXnzRy1><NZ+XF=~5C1wr{08Frh=9{3~B`Cpl5ycUA84lO!17RjSJWK#!grV7>95
z7&ppR<ZNB%CBaOw)_w~YM#NZXPgV)yL4lFftIl~UaPwf;>^m-Iw4A=+P(8_uyp?^!
z+KDPaAM0|{YMKRw6$TgvUExO=-F;SBpOhh4CGM%rPc}59D1T;zB#1m7bx}H<Q-+G%
z=;H=d97v!tP2nViFp{)?fOis<L4G&&o|YUZx|bMPs7Nb{9=6C|RG?4>+t#1X*W9_#
zi(D#JPHu5TvXE|Xm?1)r#o^N#72HTBeKT=XO9FlR#o-pbL<H*edd*J~yolCX-16L6
zNi->yNpHue40eGhgB0`m5Pb4u)vuC5fjzFNy)MdNYNj(>XfA-XM8Aj|aLAyKZzRS>
z8kM2(jIDhStq`gjOTsEcWl^fC&!v<TDj<{i-TUniVZ>{f7Q?zIhoU*g9~A6y`jf-u
zvYnlxXg>B~e0G2W%4st^+jWx!4+j02X9L6$9a&T5&Wa*(rO|&8Cq;%=5tc#?F%rm7
zrG)l&Faa%$6f=MOPKN6?8Y1maB#|Jat@7tTL^RU&NF?l~Dx?yPSqnc&q3`VbDC_=H
zK}+-um33Kaz?#auZZt2Agnqit5Uoh)@`82=ZG}1%o?D}PDj<t4^Ix219Uvh^bLlf>
z(;6__(q~8sa)|Sp?%C=?Wb`?3Bn}yB!FrQ{bg8pE8Y(w?qVSN6Xrox;Vqa;4kA9%H
ziH`zO_K2f;fRj;YTIsbbWL@CB+Ws)tRT0JD5=9i{WR&@6O-}8D9(b2JW}MSdLVcp~
zAL=fUQNiiYs-BJp5dUG}r0#?gdR|uLL*6E#XumwELsN!upfQ4j!<T@jk6n$i+<U*N
z#p8P!Y5<#3)>gA`38<rQ>QqCgG8)fvp?@|Gz&2H^PUs>a^B@P(gCYXjoxS0yebos5
zdR;1@EF++bldrTmF-4T`E|H&0X$%_|{N}5U5)k>hQ^%P!IW+f690hwB?{WT5?oOnH
zN|Zg9UE8Hmwo&+6<!fW0K1f;iZ||QjQ4$+?s3g(Lw+&(p-;IIZa+SSdLjm!YoUqBd
zCW;pPy3><JjiJBk$w#A3c_cM2$QooLfX>F7Pn5PB1FKf_=#`s$`bY{kDhuaETkExM
z_;X`0K34X6A5j*a-Ma6}A;*p!*{#`b`5MCko9Nf4>ZFnDQbr<OF+J*hHku|Pvgf}F
zA^Yphq>wQq-(?R4Dm2xiEMoh?2>fqdt@r;bfqE=QU2A<d@qgvms{%J8DBQpPe$YuA
zoi8b&`4G2&d&j4+sc!)AHsy3TPKcl;x83QU<uM#5Wtjxr1h~MZQkI}8gyJ1&q<hWU
z@xBa_xPutL>?NjNhnM_Fe7Eea$@3sw-I9U7>l6mVjuQT_&3Vx$Sw6<5%uiU`g}@s@
zw+z9%AywOgn;W^_5|?9`>%ji*H#)}r)&M$Gd|j?Eb0TI^uSdw|ZtPfbqTuZredwya
z^6sQ6J0f>JPuryYju9N=1+Pi!!+F#C7$-&+Bp2jKx1iF4y;n3wnkV!?>gB`#Uehw7
z>251oho(;KwB2r4QMN9m<mA{F9HB#}nA@T>G~2PKnWy}Rr*uH!Qt0QHC2ADf5cQ7j
z#usdpCGgZEEgeX#lrv-M-MhE6oQVs+-eNoXWYd~NZ3xYksT`!BM6ow)xm+#oVJ!QX
zY^cVy;B)vgmvq|>emTlFHnh0}kJPZT*9R?l6qWV4iDervE$VzVo%0b7``4kQk)sLm
zj@jo^%Qo@x!TD~?v>i_yX_Km@*9335w0VZAb^Nv=-Bb$JgL_k~W<9&00bVSAJ5FqC
zctr9*|5JlOoa=O%$>%Y3$i4V4BC31^Z+f(JxI%Ok?+7#L+CHKVorkk`4YQW<&rG4G
z`^A6as;@%U<i4uG@6eZ_;*CqVf7B5{RryIA*Pr;Icu)-j)61K$5SH*kVOp1I?P;7*
z&zW)dvnm8XPL}ljxQOdNc3LAl%;AP?V@vkts^B=I6oGCo;#b%zZ_w;tz-0>jrVh7}
z;pk^a8oKC3ymHxU|NXf|obe0KN{0g(hR3WX&t)&-I_#>w0eQ>#f#M@yKK~*?M@HI#
z*58Zxah5kV2|=s)=*m>5bTA3x)+{q_9bLkeH7}=dI<MnuLq>k%3?$$@NMBPhwS?DP
zr6|9CauX+Pyjt5dQh}eDhgP0vFXP9zA9|Hu|BLUiY<wOLRtEECU!mlP6+EVb%`U6&
zA8zSU-4Ier1YZuV@3WDsc)g+GF=r(Tq)~O<xod?0jJ~YG^#yBqr{_|LdkiJ|d;Pf-
zy&(bO80Ur}x7Kl<kbAJXPK5-d5{or&D?x->*n<4UO?=rvkty&dHLAE*cQ@&mBAm-U
zPc13@7jME!-#D1kqSUDBuA`=kU?iQAZ@aXOAF!%iik6~Bcl=_fhF&PZ{4H)p?!P;@
zR4ff8lQJXnoH%TfET90(x;4qtk0{V<;k$nvyqVGC=;-U~d%XFlnO0x6pAvnF{^2bB
zofXNR6nj#|ArBsbd8)gb`w-8J^xL;MJJPY}e(*R`4qE4>9=cajBT*KQ_`_<PD7|d1
zDo<4o5}%)qJaC*AiJ`Fw*+woT!JYANw@Vi8klu9smZwK^2l6k=$MT?m15!<Vak79O
zRQ>xP$%u;CHn^O<_z(?kY}RvASx_YFN8CTej1q+}KL2`A0No80tFPmch56@M7wulK
zB2Bmd#=}a5kWN_Ca?6$sh~>M8vpw0nYr6jlg19J(a5XqpvnB(zu0#tF22SK+=oZ@Q
zCXSfD`KB&0%R*n?0y!jw3o*-D|1@urKvB~X8Rv{-;l)*x3N1q(<Z|qg0r5X6v}5y^
z>sz`kGz|NV+p_YZ@krUms8wmCzdWnv%`XRv!xx-Fs0C1%i>_3BsVstygckMBazK|w
zpZZrq2=%u=3O$=3k1}s2U7pF8hmwfmTX(!fP_VG)9r_?e)F;3jIP^sU?!DVp<LVYe
z>Y??qUI7He-j_$+uBZfz_twL5)Fsf$);H;pU}a>}fV|542(XW>thpjd5*5jcP+1w0
zkm1_GX{|wJxTnM}61pvg%IM!dkkBKe>$0;9Ntq-#f1oEmE=UH6u}?UTDySm!yDQgf
zw#Z;!Sr8$#B8#f6-PS}X)lksZWAU2nY7qKGie=wLd34g_N!q^(HN<+8ayj>)26$V2
zZa6!yfb^*EMd#?NqtsW)L%-Ct;H|gjD5aAUVjiIH8A?z`l#L66k4<$z^i*c>P5}WW
z8W7vachpfi=fcAN06lP<WWV>klZgB;2IukZS4R%-zb>Zc8$fT2NY_A<GNRNbkDY$5
zhEfVg>b3?j*jD*|;b)8rIvJDk>sg5^>a8zkIrJBxk0Zm^dqoB1|1#iR@g}2ht$E_h
zi$)M=OXaA>NJ29IQGTj=t%3v^gRa>(7=z}7$pOwEDv0oAB{PJdfUYz|a9s^Hfsrb?
zyFPpQCWlepdq6`T9htHTVOlqVH#zO2enHB}VZ!Ep9C<JAkW=vN1Ew$*UcxYXkcjl7
z7;7^$#L*2=?<r;<QwaNdF{!p+3Dqo3=bE<hBM#MDlEZua_{C;GT3b^QRS4S2(C_8s
z;^rLN8f8-mn0`Ip>@AOa$?-*PY<s-W;EcuoFoE+TmtvG6Wsz>U633PE8+fBY#a3vD
z38-lrmwH{7Mza)|aTUwGc!l^!%VY`@;L5j;+`p#>y?q+zSM^4*xehyyxo~6n6;9pL
z`&b+ecFnx)bX&pH+!wNQSB=1j(%?dJs0iBrB+kj{`46L~akyUMX9UriLv1g|1&~D@
zqk|nC70iA|-D_h2_OuK+lTp0rMBVdno0HU#TOs=HoC^S53VC?Li3?e`4|1MgpaIj!
zhkZrW7(5M1``sVNj?5-$`bZ<Rkg#d-p$r*9mDRNmS+|*x*Fp&K$x%AEm%9JcxlRK(
zD7KbeUQUZDyEzkdgXkcS+WF4Ff<7pBoasAqm<k=z(7P{SPX`u7gI`kl^?_FDCGAel
zHvVRQ^7c7qI(YQ-E*HCn9u&D>>}bec#b-YxcZe3z!hV<O@F%gl5KSMk`1R2reE-WE
z!HyQR5d5a%)uS&uFnu(_W5i+{pK{o`qc=qZTe1{nPfi`Ew4J55b@_(N?{t20xJLv1
z^%LFhr?i3M#capzmh-suOazav9SsCi?&fgSX+eg5OHo8q8y2mpHq#_W1HV4e<j@Lh
zf$GPB18x_GvA1=4YL)yn@af@*^I)VV2sQJ7YsW9_qpA0s^1XWX7UB!D84W0?7W47y
zoWVxJcP_UcrGZukJ2k4~8X&6_RA2jQ0lRQkFg58p4V-^L*cfh8hs*kPiDE{}SZxez
zqK*(PB)Jc7mYb^sm;Rw?{i0RunfJEXP$}&m$4^LkH>iQY@=b%gR2x`s{-HBb=jfn8
zLh|Z_r5cDY_*ZwDZef&O?Asc4^x)$sR3_J@3fuW%H#Z};v8p>-+_KIL(A#F;LpZ4l
zKSeGso_w=|eK!3zn|GTLluWPPq*x|{*r^(^rEm)9iaFt7Ji`PerN@C)*U4b}e5r0F
zj}oj+X<pY~U;(SR<@Nv>G6Xt3IAb(G1(n~b?WGji;L>H~f@7aakSn0<jfqmjcj~1^
zmjrgGAIaHy>Q4fTeYfQdFVH}`%?umUeGbqHUW~}(CqV?A#!C1QEu1iAV2G;agi|i`
z%cT1%@HCQ|tmQ@zD_1UBno@AX-BP2I)U+z#>xu|Zb{L?Z)a|@@k_USF`IyUMmBH$|
ztNLOM6Wp&+($W~`1<^B>^k+Gh;k`K9ozo9lKw<e!@B27@kUh#6^|+V_M1I><><Jre
z@(f9tSqj2$HY1TaHzJIVWnUSdV24tt3WY-&!l1=vH*79Lgtq*D9f@3=5F@wSs%|C<
z&CEXPE4u`kjbOB{I>rTMSEn1O4aFg#>gquBG6850;9thexgkfl<p%ML1W5Ar3`|oI
zVX413JdnT(pVbfDp(~bzxY_=?Sn^)~^4ggcoDXI#9++^_O2gNenc1u{L<mY5`l)$N
z0K|^nsM9zr1ENCR7YhCo;ZAsp{vSOda9E)!OP`Ph8}{vm)+}W>Wf0`iEF%K`Ox5iH
z{_@}e_9+HIDv)LFa!-#S2GM^<zqI~UfQ}x+&>2G#wAB@Voy`-6<v!6??>kCR8mD!>
za)bn-38j}rK1x97dW^WYI1wJ0uRf~HCc~h3^O?aJNm#A1_JurUpc1<DdN@WE>fC+L
zWC}^c{{R30|Njh^cR1E>6vpkn_uhNHubKHhUNn@XjIvTnDuq;vN?A!N6xor;-dV}_
zQOKy2QTP$rd++)4?{l5!T<5yZb)Wll58F8$G-o70+LM?Omr!-+*r^EGwvdJ&WsH{!
ziV46+t$_*)GysX*Z7vCt0gdZ&Lbpjo&~g4)vAnJcf1l>jJua1n@LdTn(-I;GJji|D
zc}^R|d+H+0yX9aZNMs;#hX^Bm!*Y_N2jH))V=BY6Jlx)4j1?151KMA1gcN^W_|*1;
zTx>)E{I3hfy{AwEj$2hXmZbH;(J<~}VznYHISnp7EG7ak9sA6W9|k~QX!P#g6(xW=
z$4q-!BG^{kFtEFhLH47MJd0yWATMr|{{0*Q($^DL=luZUrYQ96Rg~e9+tKh7Eh?a6
zpT+O2Y6R!>xvgw<lwnt_<Ij}05)6nYc^0=AK|ANU;Hxys5I|2)A^%Grnzr2!DIO!i
zCp>}HD_RMRe!G&!Hf7*kh*jL9JQBPp-RsUASA;p$%nRa-QZT{Ga!zEH1ag5z^RZNl
zaGsbrUo0pNTvrlRWLb<MKm1cf`J6obNP5xtI8+Ec3PY={S&hLu*Ghb$NDgLfD(jCE
zc_F>+Eyw$161XNE^5D0Ug<ea#$x;grsDJfQZmE_80;dDc+x1I>f+_RyidjY|%=`S>
z-;V@uICSa@9HgMu=;9^r3smr=azrXgngs3=k3{`CB%tp@8f;Q-V>({E5A5oUz&qrg
ziRN)}unUTKFyOm@8Mw<{JYjDHj?sa^_fkZ`Gr94C3hf|v$AiK(WCozQc=tghE(D2G
zJU7@5e!=AZg8p5-4^U}(SG$~C0BB}!##cP9!}XecKKC;L-2Uc0_tl*j)>>~mCdPK*
zGdESP1n6QQF*jJ9M#T+#T3m{*694esTh<2jXAR-ay$#n}EgWFCPCTK(HjEp5PRWc4
zH2_te0@1BnHt^>-{oD2S2;Ox`;>~~M`f$d_150RS235NiMYF6CygL2<DbkD{R0T=N
znfNe(Am#1Vs`+7D_1a>`pqw6XS<C0r`_O`)&nNNP&>@^SC~zh3iY^%18uRisQvqX$
zgV*!7|M1|8zfbrS>wvyEC4uTH1&lf<MLV?o#ZBJHwa}31fcmue3pOh<Q1rbK6*}0B
zS5N3%6FhYQs6X};H|=g?X2hw_AypmteGRr3-Z|RfohZrX^<x7oo|<Tf*&jIHm%w+e
zblSkOASgb{xP}e*PW1?1sKd?t9Qc>7Xn}gUn|es@GIlwukwtN-1P@#_QOf?M39HI=
z6%HAT7?4j%@eVs;x-EyKkiI6E_&IB7&(CAZ^;~<V=Swl~yfq2>Tn*q-TKaO9at@mb
zmi#I@`~?eM(W!M1)d1t?pT*8+Ok)<_etq<3zGF*FF3~YD>aa=c6*Bs95-YgR8IXOf
z9s83bQx?sx4wNZ`>{;yzY@_MDjaK&`EZTL$R6jxunqsbPZLyAHoL@w!UF>?XEA~>%
z9vo^g;+bu|r8|a=(8#qkyANPT>@B6aV~H>s;54IBG>YYzC8j<r9K_1*YnSti6M=90
za1pQjC|3MC>+8<WFeYa`(sVA50IIEaY-e3ZF~8^EKFrvSVYjMNBnI>ez%ee=Rhux1
zVSD}ueZEg%HB~-t6mL|ar64bVn{Eu#vAAHiX+Mn_T6XDNX;uN2%#fg}oH0x)G@nk4
zc@C4k!gk@mEoGptF4GGR7{`2`4qRVYn#azy(5V}!E5l#9FWD906Ik63@vLum7cmh^
z?jc`KC77)(WWCcoi7~0vb5aN`V?smfEI}oTu%cD5nXW&L{W)WPx8Uyz#;kK!*L+(6
zCUm~${~eyeycb%0bsE;N52GB<f0`+PN}B!L&H6da+;?Eh`p*XDE&E?S%Nu#{7BYHW
zvA@S4CPr^w-fc|CoxhWHLk_M~Fa;kGS;VGHeo}3O?P520_XI{x%K<q(bwKvDC5)D;
zHRDzy8Q2S?ab?%Yf?VSZmAn6zv4Ekl{|Y%NAeH=kO^AXlaPuGaEx)&lku^wh73Nby
z!ctpjQKAg!l8FZXB&}n|shC|&yr|)1F)_=VTLui?+%QYl-o%bQORRr&mKIh5orC0~
zr9r&ePsH==Hb&6?Z6o!79#oQwn~n%cL$J+gC_BE3+5I$}`}2ztqPm&~+;XIVa*n5V
zJdX?t75uTyvn-G^&LN5!O95A-WMiE$1$;iex+L;?U*Fb#odv^^kUjKC;bbu-WH0*Y
zIf-+Cc>P-OuLw!_LwDVq-GdtZm16zYe{q7tVsqa5VM*Zmm_qT>mKMBj5XEeAx#8B6
zGwHP~l8|7}L6PZ65C1v?t;tGx;o(5(xahD1$kGb^+xf%@&I*gPk<<LZ`A8hOw@5%y
zUD6R>6Bf|#C}mDKBLuExJ==G_N<eex>MQ>sHo&t^Z#>==f%U>Pmz4h`fY+v#>L?ut
zEbyN<)R+?kji@tze;FkqNmrp*p^y`P(>`qLzAph~vLhWs4wA4NoGO&`fEx@?m0GSV
zN`dIjZ7qckNvIUIQQx@53+@>XdTATdKx5@9O?^iSSP1r0M`HP*OUUWU>WD1py9Ui?
z@B1{*6+Q-$F+s>RFFE>YRvsLO$-fa?WI#emeej5j2nb~>3evGDLFSm#*&84C{{<=q
z9t#lzu|2NTLSq%!(X!s@IVTUwzDeiG=f&Yz{Pm8@K!Bmv`EV*{MIcIyk1Kdcg5u*j
zmUKrV_!xZ|5y6##*STA-c2^2!zmT7d_fms|OWV($7!x2uzXg*`kO6`JOr`B_sDrko
zo>ksoBD{+A<99NYgHy)}k|?Y+V1|!{)KH`jx}mCiVFU7D7~{6LN2dwx-AQ}hRhsZQ
zP${F&M-j&HBHE7un)~-S-riza8*Un<C+DpzL0A8f$=hO05Mj&i)3Vat_aT0zI%^eh
z*GU?C`&1Jq<mr~iTl692ao4krhpO=Brwf{))P#5!hg|i;7)ae(-elAwfFYSkNi&ZI
z#4F{mNp=G)Z@L`X4I;ppXqA$1gBnzC<NP1jjUXU#)pqJV0Se>X)d_+`Sl@|DZdoM(
zwe6seVgdoWZa+Fcc}xXnGehqEYcz(_0|Vh^js$SZ;Eo||%fqk5vr(>>Od!JHLQLpi
zRXC}^9ir_c4TUyZZ|?svf#s{GlE*VuU}c2D<lllAd^mTO<;boH&`$l=94e&@?H2ls
zZ?*Vgq^HaC<)#VT<eqIkbXF0<?e#4c)!D)Rzt7(5O(x)Ab4<R$O&-3Py5FS`rh++Q
z)c3}lCa__z{7S%57MS)7FZ8R<VT_cF6%&*uQ1S4sZIP@roW6A`>dk07KAV3`W60ka
zLj6T_Z){4yNa<CN^yC#>s-f@efq4=vTF1WB>J)=316#KRt;x}sO73+wdlFoCFw)}+
z6o#jZZRAC!G-&#zvxR8A5yUJWKYrpFKQK^x*WLX~k9^3h_&yPh;E{0e{K0l^D1Ih@
zemgLsn2yTVLTLcMWin<g>^a~<h;@PKCNm<fNn3^p0C00DJQlNL0n0^?UX4i>R8#rj
zvH}qURurK_^r3_Lp<iu$XIN1-om=s5T|+qD`qgV$ni8_;$e!A{vm#%8ZKq001Be!q
z(o-tf#wcX9LK;b|=z8~?X^~s{P+0lR=QQ0i_QZ5l|JVu(YU`qskbS2I5#N;#e|j>G
z_5A+PUiq2@-Hv@)KHR4ZA!K2^S4o{%V~wp$iVh3XakdNd64wPj`Rl9f@_D#DwLvk%
z7&Cgf`QXy#H67s6dB~o$+KrPvbbq3f#f<)KyrrrCd;rd%!0WB#V>siJY(cWe%!p9<
zSWQjz0LTSbw!fp9$DKc>o+u7xMu(3&#C;0ThQ%(Q+qcD+@rTM{U&QwNEc9|&Zcl4L
zeo^zoUxRCSBvkpzE;A$6WW$DdM=e+?$Y<NM+rnpg6XGV_SdgO&UASF`CP*CQJ3$$@
zi*rl}onWJ9MJnYnHf)xf;H@?D(!G-mNv8P9&ULb)oO>saylvNjabDGHna3$mwY!<-
z88<ehNG_32<Dda;7Zlk=Ybep@g9coBJ8a1Kw5PD~q&kFM4Y_S9PmNBlFj1&vvm<_Y
zbzb)e>Jadfhg&Y12DROn9r)(KfqLcE=+gPrVSc<=&xeK%B^X2t)*k0X+19I7VwGxe
zBqX&x>JdE>IWreicZdtU-0%{Xa8?6`Z@$ve42-DUI$k){o*SK^-@CrUy#KB~g*l`%
zp#tKVqw-T8v@zOP!vBQ`-G&hvk=87z?n;!|p+CH+QuyG_MSmhpF?+Asva%sw_PvZ2
z;74csIm`J?iLho_y+T33j*K`vFN8G;Af*OAX<bet1b_6qZ%@U690qlqv^|6nL!CJA
zPZ5A}Mx4BtmlF*&x%b;>ilEc3hr{B&6F_S9t?{q{7kX$&R~W@ChSa4Ou2+8~Kqiqn
zv&4rRsg$V=>a&TXc3rRBv@!xb?&+L%Zs0-xB4@swkdQ!PH8Z1;H~~fv?yde%;6r;C
z$P@*QB~gr3%EH7S0?h3MS|+FSBahA^&)Z&7NRRKIo)S3`*lmxn3Tg`?Lq7L+`8m=k
z=RsZWf<6%%$Ikzj=@&vB(ziHV=46n3H<4#3oCweSXz4|hL{P<MxPhyV95R_^HP2ln
z!eLj-^nPtIl>e}gkQ^+JN{UCuCp^^P__c<RhYI3Il(L^`{D%T6j(d!=(WryiZT<3X
zDG8KJMbSsWs)Xc1Qf?eCQwLQA&Qg16N#uL#55;3cWn@<1JaPV!20ZIZ$l;KeLOeV#
z-p*U8pf8StSG_N3LLK?;@Vb&TVmDEjuRE-|-;cwp`;rzU^-LckDa#;R70=NLS^_#U
z(ls>qP#Zq<o$CsamPILEFWz=q5KvV{LB?po0T7rQXRcwBLmJ~*mFzwQ0AfI$zx2|k
zBJ|C?4%iysd=WGuhi3BEX_)U4P&<bSRjPp=a2t4xh-b^AN7YdaVkZe`>+sojsR(`e
zEOL&m=a>SrpXgs%+fzk^sQW!f1`I%~<#4ISHwEPTIPek$l`8ty>nP(cjluFwljReV
zipY%JM_Zso89BC;k)2QkI8-tBUiY{n8cTUsAi<@Ca<6I#q<sKz5+v)_Hd935bdh44
zL<Q7VEgaIJYy?{TzfGul6p@hcddXh_IYfnh_|*_$1V{Vpu#F-G)M;B(a<g9=xflI&
zIoWFjx1=7vq!Uv>mkT9@o<&L`;hyc}i>xFtvk-U4agj%4C0>)iN#dv@=k<F!1rj`F
zc8ExSB!{kVM{1m)6+v0SEaj%kB&c{QG+XH}i!$W3Uend_ql;BXT($&A;PoRU<irIT
z#1!&`eDN1I>S$p#N?kF6Hi4E80$S3D?3bEY9&n&Vc`Y?MWCZh>|I9yaNun2D#-FUJ
zv7mTan_Q9mMqodd7V-F_1bTJNoV^OCL#qAeb2a;UT=w?-h_0VFa_R9qz$i_HPR}MC
z59<L)>Q6}+#>5csGq#Y4(_|>E*p8>oA3)hDvp7;v1YNKxTr!Q_#J?y~z7H1%cpfmc
zUhz{9`5o||&hA>l!v`uNGXpTt30!_1{f-}X`@T%kJGzKRgmIO2BSWzB*9@jj;6*q6
zN{ZjTn8P!C=8h)p8NjT=ou)Ts+(@LC(4J#4jSpV?Y;Ok!V9fb}@5eePD(!DCpnWlk
z*NHFq3k2!INzqCY+j$ODTqZ|(m3b0x_}&;D-l7L&^tORwi)@Hu%cJaG)FjUFx&6Ha
zuO7UO3%h7^f)&-Y(QEI{OyM*iT2jO=?fZyR#o+*IX0%wD@;z*A20t=Yjj}%KK!VXc
zR!_!=mPNK&84k_kCd2;xEnGUV;^Cj=YDkY<?+p8<wk+Tdo!R#SZybQs<8edJs%Vjw
zqh#%A|0O&)hupHMLmRGTOb1$d(V(BpA&jYZEBFF)MeTDvZOC+A4IXi#MnyVtiR!1<
z@I<GKyt)i62w1u36YWoh>XsbUYHx1f(YE!u4m?^=`2Jqbaw{cj6r$tE%HP75)>pjD
z!ZhIozv7MFW0dGC$v~o#dKZ@s<3vFeno#`ipx&J&3e=OJ@YK(M3~g6j5~A_f0Dqh7
zw~p3QAh&Qfah*_d6c2(<-}lrZD670rqm%;q>ui-iAErR_0^DkUgVf>VRz;6TGX>JP
z+}>+zMTK&{r@u2|QHL8r3>RKeP@-`4g3bDFYE<)#wuUBA4f<T%`=jkCk;O3GEgK(N
z#CNw<&saqbIwq42)^<>$0nYQxEvocL%|6D1tDXpom!5T0U86z}FZNTCh7rlV<TXoi
zCPKu&_ZR(Ss1a+5I%oV26KeY%7RR%HZ~YbR)6Ms&(MOY^`2>De^wG2HQE>(VK0qIP
z%Q_9h*?U@t^4ZYF0%%rS5+ID}&W|omI;1qszqL5Zj*^rXmcl3qVEN;e;yX)vlycTA
zb3uy}F;-9&v3RS3OyQaG<PruXWD~qPn8Jl5MxIaG&#Hjm?U=;7dQ521X~F8J3=b0T
zG>VnFqXJ#t&GVvD%*gz({dLsLi=M95aM!V`fSUQ>lY%-{r19?V-|Xl7sL!eV#INf8
z{L7^}tUbbpWZjKhF5MJFHfHNiGJeX?Hn!Y;evchlzfQ7^zb}l|U8<eOk1K<XkE<Am
z8YhZzK80T8h$6el-=r71%23az?R4(}7y4sDx*ESHhLpT(eocci*kd9`8%Ma209e-8
z>q{WvLAfJp7nPwZC+YgO8!vhueR>8xl|&Ld(;7?J%CImc9Xd(Jj~+{GznPnsLXVGe
zFiG*K0MFNOZk`4K)WQEY;f#|E3Saf~;K)${|BiR&(J4a6RnuNRqE8k%#?HA}T~~$8
zia`G9*CI%&*lCR8k~}(+tc+W$5#ZRJpLaa1#gOAynu9{C3MgXY>E6{Q0<f@OX3n@O
zj`)A(zw`)FLTdR#mvbKwp+N3|<wCdw`j7S4OBDtc6!eimVz5$!&WyW#du5WSSZR#`
zzpsiSc{;0?&D0_Ip5)1jQ7I%NtP?+SnSieQ8_;uJ(11n8sB|el8FX7EdaZPifbw?W
z{c5r%98*5{?ZQD>bT<iSF}zDe1_2dTO&eMuSC$l$e^n06Rvb7a-AY7)E^|J6o(G`a
zxOVgGBY9+*VnM07Nkml|O>YJFbl?qX?3LU@1>_g}&|-dxh^niZ)1wmgfTlVk!rWOA
zEx)1+)h{O^x|A}~0JiU691B`>0!rx5Hbn=k5fQb7DMxkp8N$H{MaivnCG^>wriUSt
zfEaEaR20_)_#Svy>BEi^Iuy>Hh)$`ZQ3h`ti)jE^#C}ghNEu-Ym|DMtGCKZxQ!wVa
z5p>><vOTk_gkl?Wjj2)<P$5z9!#ocOvh_K|52Puf^LXWNn_*crWLXrN{)hw+XdYz1
zq=X7}Y6@zorIC2V`S8eZByb6KJ|$wHh-zEF<BNy{sxl4VFkT}84WmiZD?J7DoSY_V
z?70YHG+7H9qcDcIv&U<fS>#dAm)m8B<@wQ?b*u~7A_<=5F*9f2vS?56{FtvY7dp2z
zrpDYzf>Z}zvlts0RPCna{^0^EdM{LMBm9H}0=z$6ihHF{#X@l8&nL7fCTrHyU55lq
zrT=l>w39>!?pb__ZzDs~k>qZyeMTTTO;#QDM;t|Q)c@}HTE)d5iSJbS7=dMMbx*3D
z7%H)A<9Sgqi94EO^)XCFz$~-U8`36>!a4j?7vsC|Ba3}^jFSN-?x~Kau?nJjm&2`g
zZSU}88p@C+6@dKHjni`8e5lJ@_QkGn3+D7wquALWgQ|H(x@2-5bm8-z9jm4;Y+UsC
zFOheKkPue5RQHJ!2`FE?Lp9fr?W(JuKKOlq?^%3I{h93OIh_U1?%+SHIB4h7=PiB6
zbg{J?3uZ<3kE+jDKN!R&W>#2u2>ReQb>Cl_hY96#oNs!`HHdi<o%nsO=m8qH8xh~5
zLr0dQ*_Va~u!YvWyA#>EP^-XEc1NEENh{Fba5(fA(~VczuvpN62D>b6jwVW!*D_qJ
zvf7OWI7m|Z8t8!OrOgEQH{|GUZRJt~e<#NO>#CIUivw`v=(n|e?>(I1pZSV)ODooO
zKfzsbR2#myHgKCtZ{tiqwx4~ZtjGHMJp8pu+CWuY=N@o)1AlCOHqKeG6noL!xXF{I
z1&1?IzBaY3;sZC6y)uV<@ynIihnI9(FjFDbDpIwKZ`!|896DK!lci_s+`FL(cMSVa
z8LlkiVx{)qYfd%b6U@9#X#*PY?ym0RT)zc;hq5zh%<U)cMG?k3cv1sQ%w3#5n$F{G
zZaJ1$UUuT4BW<G`P3q8F^pTb)ZWhl?qiCJX>%pswHe<Mr)q(x*w;o2W8QgO|^Mg9x
zk9!-xtonx3Ksb4;v1DNi_e@I`o4z!NM~;}53zO8qb09<FuiO;wqG=R3u{?}7-5$O@
z->{!wL{-0hESkg_JYzIO!^d#-YgG!W7DT9)vzTcNp2W=`8J~|-pTvv3FNrtw5a5ed
z8CLOT6901JyL-;UH13|<ou77@0NOKGpE_+#;{T!~8@0dB;YyM*M?Ke6VIogoJSBPx
z_dd}iQQ*3O^X<K=n-W)rSY|tNXZLA5XE?mCeR~n_|8c(g?MW4IhfyuB2QxU~96vW@
z-ZG9f{*VVgQ3i0_eIC{_i}$^sw)ON|#TDy?i2e;q;L>y4MMPm9zxmY0D$;!&-!c1d
z<ORJFtVSm#tuQU%-hWuX$^>uXJ<7(1OHV4o$-itbTv!+Jdpjyo2b;HX8=+U?OQ{O*
z_t@)*QMDypAhGhhtI;0*>A_nOhc$U9IWt^;{_ZmVvX`z+W1S3Lyh(e8{**jSk$tw1
z99h8=9kqr#u2Z10CVma^4|3q}U@p4%&Kh1SRGv;rM};_QVv@Rq<)F9B=4FBQ1|C3r
z6nwu@Bjqo2^|zkMg4gbEIu+?Hyo2?`L8BsCq`w{He2PjI1VYEW&YJGvzpuJIE^DGk
zv0shih67~aaR0w24T*dB(vSpu6gLw}{P(G*l3oUcKYx3n&PR^knw<PS5yyhwb_Ndx
z$4SF(+=tnb019-@XfBO^pC4Wqd<&CSmxdJ%u7+TCD#U2+ydp;AKs(m=BQyR;!NYa?
z7}x#z)*0>E#JV|=q{Cr<%TOthn%bt8&ZI@}D!)Fq&f-Rd9QmuI2c=*}%)vUNoF4s~
z{_ul0ofnM^&&3vSNx|`6QD5#&MkM2(ar%4fKL77L91C2Q1m|DwgT3A?XxhG&qD@H%
z4Nn#_4~<Jg?((JP@2}X<pPKfIwzvqo=n>~bz9I>Y6K5zG*f`MPuHJRQdNE`p7I-2{
zND8ux9+BwtIgvw&s&L;S2}ECE@SphwDL8NY^1PH6H+rJRWu7uFiCoE_z7hT<1#gPZ
zy?JKOi)bR8A9}u*M%}i#eC(H{LCr4ZzKRDwa+ke$%`;FIT`BRoyr?DvzRHumzIlRZ
z@aW=1sINTANo5c|qa_R5bz<7uydo%#n<PQ|L=hdPx~BZnPYyy7FG=y)h@maDH?&Gw
z$|$!*Hv9&o0_2~39`5x)97)_>PcLdyMH6YJ&z5Hu;cN5QFoT>VdK+v<C$~dDqv_f{
z<ti%R7F$lGmLrAg2UV~vIyLlWqd%N~UtcE2J-Y{WWsuc(*Y0czbu>^=8*Vd4gzeDY
z*Ux^*B4s>(N^U?M&9&T-UCCAleIc`~@qJ!dxgqHm{z?Ni*BJHL#A`zNWgokqWd#&_
zXxvqYLlZp<efKrGLK_aQRaJ#vQ$jgx(!+j7HPKq_4(i(00cMd>&*XY#q$x3dxI<kN
z4Hr6^&z;eS57DNSKj%~sJ(*a=vsw*w(k&p>t;P_(wpy>f`>Tp3=PFKInNvpwC6tm`
zVE~UzmtTA$5m2t9a6EU78d4c~`?V|02#yVs9qDu@pk=k-f;|l)I)yXtSiB*@p=5XF
zU;EsnEw>z;TBm}3J59XlzhMl`8n#-a+5|Lh+HfbeL;(pdr`&JkF@fbD&saGMR8jh$
zSohkCGN@d`@n&3z2?WJuJ?@QBL04o|{x&m8ApY2?gD+}LfW)q=8cR?{pXbxMQ!@k+
zMx7yevDpM}ofkg(EmRRHT~YkqSjUOlN+S)kGWP3zb3ZTT$)nYO=_RSB=#kP9$@qH5
z{rc>+=tBjvXr{okuC;FixBV*@xUyypyrh?}G7_Yb)J(OGZ(ciojLj*@?!GYymZ&b3
zKa@mj3OnuH55}?9N}Z<`D<n8}G_}+Eia5G=Bzz-fXahSXQ`1fEN`kT3yHxk<L{R<G
z$(a8L6hPpmVLaAh1isGF*%Si;=+|gA`zRL;I2?_R$Bm7kz4W{UL5&wJU$fE0|Ik72
zQ|_W~WdJwq*^_lXbE3BlDI?8=3_!a7F@9~I2QKWI^$G9m?p)T?0lzjzpiVp2C1!^~
z#C!Y38z&i&rvXPl`(-9bzdd`e<-8$C|7vK<BBw!_XQN&pif4lV0RRC1{|r}mIF@f1
zwaMOO@9|mR_t_)wF-xTql_+UvWTgmMp{O*ZB%|@GkhDmJ-d7S8kxI&@vXfb|e*V3$
z=X##!I_JLcbIz8QTGfuQ74X#YRC8vqQYLpp`jZm*5km!cwq{u2OU0c4?vfcY;mgLA
z5%&C$5{RziueL;y(1Pfvfibc@hLW!w;=_Z%Oyz5{7GMeFk+{|NgS343v7zV`A0nD`
z)vGKma6|a_tDv$bl1HtlfQ`Y2<nKPuiW1BbZkDXCB6N=!7y113><?bNl=@<E|Fan+
zi(7VXy!VCBJezu_@c}R5+ae}4_07<KE<ZHv>vzKWses7-3|^cGJu;GZ#uO<k<jb4$
z!$bgci{^=IykHGorJOinf-5HWM;<cA3Dp<InJ#s__;fm<@5T-j$S*4rb<db0TIn_|
z@(O&g$h{<(_rVzA7bJFGfAN>l&*!gua+wcf86orDPR4j$wzqff<5?nD@r~eV3w}J?
zd|a^LwGmQw_MGE8zCcI^pV;t~TL7<C#}ENdMkx2J_I;DZg2^0&RkH{}PFLUV_6I{a
zuGWbD`kNJn?`}Pb&=A5tUYD6II}C9)$MJcoEjtQ2`Zmg~5Qd-n-!+%Unef$m_l@r|
z2bw0@QXeb`BW(zQai^GwcOL0780W;;`*-G4iwG<wiepyNn5cINt*~_GM)uFf60JH>
zG`%?<soucAq-YGEa6J#o)*ngi_$r2tBkE}fA{dC{ojkL{jTbCZ0&+ua5=diI)CcM^
zFugTLt#phJN^YjX2UbbK+>U$x-VZup;x}|WPXOFvN|F(GrO+-=@bB(zIxc3I=u1Tj
zVKK?i-%f8iPLTHMd_i=K8=CihEEPubtD7<3-pk;UyMW+HTRQrk1zfeNM35QK&|`95
z4)LemiFpM&4*aYvO6(TJm*LrF*~1Djc;)kVFBctssa_{t#l=yuRWmetg%Xa1j<{7$
z7$A%PE_?en39uAh5eaZnMs*DPx1Cc4C^&xalViCgBA@I|6h5MYnw4*lgO`qXw?lr!
z8A{_&s8i$P0#)=j(0?h==;%3L#jvPa4zHHE^QynpAZr)Wu;58Y`IDdim433Qo#)+q
z(pm%W>h^7XaGj18Yd+;EU3uKijBm2LqKT9P*P^B7mvE?S)KlV81f@}_|Ms62yzYdo
zmk(m#+JPJ6LlH`_NS7##@}fajsBul^90N|a5jBHR%E&RbF*@-=2Nh`@!RG%lG1e+H
zyzhhxOdXo#YQ*$V(c_Z2@qi&7Jht4bmZ6G(Z~J^IH|c}d;hA#zQol*PY0tARR71#%
zxT*&c1`yuXTXk`jF~)MX-H@f!F?Fa}{F@~mC!)WY^6W9e&2%DYZ-WL3>Ukp5uF>(v
zc7wTCrYY1;SMUgb)<mq;oWsQ>zO!?3#n$zip;Iwy$H8}6a1*Xhp>ZztN9PW<8b=H8
z4<;ROE!0LOyH>2*KRWX5gf#y=v_!EIadA^H4H6wX{zN4mZE>t;+LTs+VbNhEBCdk~
zH4~lJTj<#2H!_A4Ys_X$nkA>|z%}&T&F7H@XyTRJYw(@G6WNLFDXlt)buZogXh;th
zEQTIV7l4shr+5Va=s;k-W8_~RT?FwYS57P0z*x|najruL2XgrpPj+jASK;|N-b@>u
zb*!9SdtL_z%VzTjk~Hy(CT-;V&j$AI)uy%y>!2g{){}02bxa?X>D7lVwpcl=ySv2G
zYvFshe=PBEnEYH_;cJUF(~oVhW3|y?W%4SOPYD+<^gb<*uth@0g@v>zEo9fM`jN0v
z7S$$!8GXUF$PsxIHQ=s^EsKM{13M%!1z*XAjkY-a%sEU=UISJNj?$eCqS&Q6Saw>;
z7O%B)_{c^z%&j>xz3YG=;>To8hIQEBz^v4YiHIfM^?s*rQsqI*?M(BYvo_FI7Yz<l
zQ9)+hm7n8{Y`ECmLG_#3V8@t+r$)UJOuQeSXK$P%o`-KKTlW>H=j{qv&7z14Z_oUB
z`(TP#pVs^P;1MAG>}w^J7&(X*@B3jR`<w7i>iWkJ0Ynl_AFh&@fyI6C@sX-N;z3uy
zn8juS;T$o{s7@(x1r0~OE$k)|Pf8~iEb&+}vX?emD}msfhkm}&Yb9PJFVo##xdQq!
z$M;9Iih<p&r^|C&GZCDdJ`p)<h0pY-Gwo8Mu+Y?7^Vs<lA+zdu;ahVnNJ=;Q^d1w&
z1u4&%q^M6s5lhf}D#{X8Om-Qk<$`ckQ#|E!q?zztP+y<($^zs2{GNLy^1)<Z_C>SS
zuY~-~6&_I{7VsFimhrY)hVA|XLEWAmgs-r<mB(&#G-rQYsbRs5TlG_+2im%cgw+N-
zn$OJ;ovU}<E`k&HBOR^ey1o<2lbYvhCCtFnDp<q#%Z>~_hm~3y{Y035m7UTNQxu*)
zHGlX%8=4dz?*DRah>)7e3KwiOfk(tk(~7IC*f>|K*y%V*SddjIq4p-Y@p?vJ>?sS>
z$Xp}$<T2v2^MszsBV(lg5`XW=&VtJ8x12{~Cx{>|TO$iKW8AOY7m@aBfzZelrLRkw
zBEoNs%==~<VV8{`SC#4l5qD3#?e^_I1oN)g(<kCaDBQT8dH32pv9s-2xn#=>k)h?E
zD3oRhw;JDpEbn>ZR-BJ%yz(5e&@J?zpM)W{8nR0l?3gF4PCwxfPg)>a6s~1gUuDAl
z@mZf6ne&9*v~~5FL>9~pTAh;9U_wS+;k2O80&z~bel_nmRy6KGXlOA54S~C^)5;cz
zo}LP4TRV1?$GFxvJ2G%2fVsUZdy%NFrdKUiaX_-OP0qEQ4#^Vj3~$dR93Gt>vfIIh
zZFzNX7Q^UxJ-X7Hg`E}Ef#Hdc(mc>TVI(svNk_tWfkD&PtQgI0e|mU)8CspQ8(KmQ
zpi^?AqwE$N2HjRW9$C_>xWu0-eAW6eNXe2vb%P!6FN;U1F7?aLq<6cPDe9w3fUSAB
zf&+TjGU+uY!Z?&0XzPDm5Bv|l<^{}fVwtJalVe9kP_m4fKQgWh=GP;4dNy;z!y#<p
zSF<Q07M5!V1nA<@feXL3weUdXkM`OFF5;NFNv@oo*1?x+O)2zPUPM}RdD{<3Kwh-;
zPV*TZ{3v^EF|>gnCkI>udu~f%XrI~gXd@lW>^PUO-dPYcpQ?!~Ny{<5UFUT1FbySa
zAIvnYgyGuK=zQz6EbhLz_U6=68Ws($`H%XFz^HHRu5g(=9K#LE12SnS_Dr6lKNdw^
z+vtfm%amXgDA}WvPD8oQomXvA;@FWpp;5d>8K2pl?HBLTKs4H}o4q1|6;&+v&)if&
z<vr?8W)BVF79ZFLETnKt;XA8}h#Iz@fAUOsg%0{elI&||rBS=_$CJ!7b-1uD-14Gy
zpu4rocX#{Jewa$}UZ<@Ii(>;W8-jHqb#~|$cb6O<4VQGDXwZV0a_ZZJO?o&I7v8&t
zT@h@Lq<%QY(-1rPMY%FWAKrnqa=x2NNFD0;oU_zL?7ph_=Jy6zyjK@J-K31=7Y3=7
zQ+l|t+s-_{l#Vbs$Db8ag}sNhPsM)*5Dj`vJ6Xs;C;4k$W3w89N{aHmbLo(>tU3Ov
zh6$FQ&Oqs#>PYaP8-D4*z=r!7k>0#U7!cVLUo@rxwkF+;*Ov4+F-bKm`;ajN^ag}P
zt+eoK=ckiyQA~uM+2~1UHATh0a-KDj+W6wosMz1g#Qvy@B`HN_=vnhS+T#ult{3)q
z7mhK(df>I~wNMLOj_&pfE!Dxr{*VREFHB6A>#Th1WCiJ`$se}e&;{W*Y`iv-3FETS
z<Z)$dl<qm0*YBl=s<80W4_g^<==?h+F-ia{88uhF>p>{f_2c|sI%<VqM~i#_v?|#)
zIO*!+VV&pYiTeh~QLC~My<~&lnDg{^bbUnY#LCsN>0#vP*F$d!TL|UtFE})+2WI$<
zzpZRET=`&Y*;H!_{UP2JJ_q!0de%P9zFq_AwAh|3Jv-RPG`kh&=q};iJ7E{6in9i+
z7hm|>fg`teh9^S@%|4gP+?V`V{ZEy(!%247<~2~baT^Vx0mDMx<}#>oJW}^8+77or
z#KwtFX@Ns2s3gu;95Kw@g&OWl_ed`5EcVxg4Qaz7?I{RO>rX~v(st0xH9SyPuMS=V
z-`(ysPAr$nmU~iVi>xiea;H?(;C*1%+xYAM2<4R#l!mu0#C2*v5}_(M<hDC>LUo9U
z9SEP{8n;0hn{+qVJ0%S3iQMIwtRaRKd>qyvvw?J~>jx`O1!S3~B$urFOpXpGW}9=`
zz^lsYM~SU0J`LS|-R{~)vZYUau{#Y^hHhE!<0g$2<j*^v&cDe^_8u`d;((}}e$Cr-
z31|%5r$0}eAU{6(^>E0FfKf-1fikZcJgvnpsb88Rvy=Ay_1<EQ2Buwc$0K3*JFMrD
zE}JInjhMk7!dGC2<rj`|MFH@<6x2-6{zGQxv97;+-3sB%*N)*>h7$8pn|p$PNJ05p
zc8(@XFg^~YX;*RLD9`28$aB-AcT1&H=`u@vde)+O{RSHhe98iszn>xvSGjGBUS)yF
zSo>G&A1)HC%~?IgU6W+Mn8GHORCB~8l_yD8{3D`xuRE=6n;_r%A8u~{YKB*v%1RnN
zrirwZ)W;)@<79&Fd|#=K8Hy4GZrqO=Cu%)+u2Xz7M*b~KK5BH_6#iB-UU9Tv#70-n
z0^Nq+q%QgTDod9Mv`c(?EDZXIYtIMkb(=;>8o$Br4>l&yPyIosjrI^duY$YYnEWC|
zZw(CZ&NIf#eH-_Q-DxB4`bST#Xc{J??i%$(i5a6dfAr<~)KA2%^f&Tr@`lLO|M5KU
zi#NhrlfcJo+TIe$#%JwV%Ld8dUv)i)rwzeYx`wbyDJKRuH0`qD8zf(P$^V)^xTJ&A
z%)RuA48rV3-Wk3t10*Xgx!z-d38nS`#jMMBN!ylITaG;g<ZM>Crr!Z3)*g=tTG2p~
z$EDw|P4pWe<Jv1~g@+iJ3N^^yC09#k6RJGJMFV8eIENlRn1S3rBbNO|4Wyib>eUx|
zgCw_kzWReDU#u`%e!P9>M{;p9hg*H$AjuKNNIQCh4(0l>to>v&+2F~La&8|Y<L@6a
z3X`Ivqk7NssKu`&XYtP1VZjm7`M;BbI-3k&ew`_Lgx*dTtn-!maqJf<X?`U*F-{+2
z7ZR_$H|Qcu)Y(TkB!81PBjudhAM1gec+9w8*G;C7nL`5tW8_ZNl1hnTU5HSpim1?D
z(#&czpQ+Y3DZeJ^p#)7AMed&W@9F&@-wxWG?AkX$4zT6+)g078|5X3A#krs4&v#rl
zMBOAg`E@cwwv+}h57j%y{r#l#eD#8)=QQc{$mACX7Y%w&=P!So93=l#nmA=k{w3@C
zRZEX~Xru7a5%Wx~5wcLjW+0aBADKOQ#VM&+3zr>*ST`q+lCKJ57~?8)q=%i&MGbK+
zu!dEaX9<pxLaCL~g;5J+W>RTD;89IPU;F5||L{1e7da*xlfpvjDQ`85`mTZdX)ePj
z=O)OL&%;uO{<2cr-2EShZqmTcN{e$<ccw@!TORfP)9h52XLRz}I(7Vs`^Tjj`G;&9
zd2&f^H79kR&1sp$YIVr(i%OG?oFUmyR9-x9#7!-~6nkygdo^SZ&PMtd&XO7`gxix1
z%P5hq5dP7vYUpOu&)F!xK&IbL4c~i{k769zwtfAGDn6ZJ@gugeP|Df4Z~7U6l+)du
zd8=eq&@&JHIp4raE!+x@n2!~v?8AxvEPYkzNN0YH+0RaSdlqT+@{3aXel<ARp@IU<
z9o7#uIVtf+SFewfVpOPlMcn306<B`~GL{kNro0dEFtf5HsO4Xc!t!@7)rE``X6ef)
z+do?tlJcdfQ~AG)Bdt_GU$uX*E1r+i8_IgWt8Y0)O;0oQHC4cQFTV7updh7Zk@2m=
zLyl@@ypGD%P(eL%w6pw$sY|~u%^c@eq-uoEvs+rL0QPbRrzb=xh2-)%o4-m_MfH}g
zA|WbhSb588F;|TGq7#^Dd0K^<?|rHC>$M7kathZvACjO7J2OV(phlf+To-=ORuw+U
zjv5<+q^QGJg1C$&G$^~))Ovv-RfI;A_tCB_r?ysZpu(1EQ5#j=l`Lx2Kzs4|dHkp>
z6>AxIK}?oL8D)L_<JhB)J#`l|twR+kk0NuEWsbVkhyNnvJ#01MC=jl4HBE`~(i3?q
zl%P+!>y1*(aV^Z(j~(C7u0s7xEzDuxN2elDyrp`U2H#Bay;UbvDdTg>he}Q|sI{>k
z(%DP8C^-_p_Nlx&^{?^4`@!o>%1i8ZV}ueN|7Co${7h+3i-83q+wK@r?!%*tHq{LL
zC>Bs3@ztV|OgO(4pEjcGbuE&^ZyLfdg)gmFj7Ei&y^Zd%Gp2$r3MdLZGe%_wV?O<%
z4#mfLBfql3m?{iA7No{v1}WWRJQJpRR7r{KF{>eC%2!ij(LKNdz7F|<E?4xa@2gZ?
zT3#4aEczL5Hcwi?sxtn8aE$?V$2yDuqP{Wpb>aI1;b;O%xp_5?Tj^BC_zk{~#zs`#
z#|HlH8Q?#`p<SAH=u~f=?Z?q(CiOKkU*o5|Ef`H6`2{s}s`%S6B`!GzCFCj^dQ-s;
zs?Q#a>6Fqb``kxqrh59+SI#2dfH6DtixnSp4W&~x8L>Qa<=Rx~qm>VeQti?HdHnHa
z7CQCgr?|t+a&;<Q!P@l2xIG+lrMOBf^r^WI3PS-=O4Nm{E~bit16Wp`8-$J?^-HcY
zV4bEkH6>!ytRmrnbd^mRO<Q!Rw*tw2Kly~IS0k@hcXZez`q74o8?M^auD}4>!4g)=
z<85W(@&tQqy=LbJ15N5%%%r+^><>~j-&00h&>nKXdqRBwsZqDHL&pAw_YzyZKN*}$
zv_sCMZ?b8X3g!OfQE#m2KcedG8z22~Tcp?J+&-JGL_J_@3EY^(j)SW=t(EbxMOP;o
z(KjVWd9M@vk83Lrl%8Z<pRKgPyS-=9Ii{qki&Q|+%tt<KYPVLA)U!bf#izKIDM1ZW
zkGVoj1aUevaAkZpz&`x-`SZsj)WJR5BUH<T;M?Mq6tLtg^mpCyG5E_*9n2HS6k8*V
z?sdtvWoiUAInbUlrMRh)FC}!j2w}X`{n%8dZw=*@@APIVR;sqb!D;7GZq^y{Ik4Mt
z1?smQc|df`kYT)s%uV(P<C$no=67E!be3*a_hpWe8#+S8ep?7*vo?qJnyZ$W<nbd#
zn|sKXznA6R_=K?|`5*IYvjt9W<uCeorHXu~I^x6gTnHC}-|zV@Yk^NiUE&I^?}?CA
zCkJ2o34!yHTl-pHbA+~=%O8H-LkPsp?{6{^!j=_0`z0&QkS);apx!b}T>s)?Fd{32
z_3QGut|^+KSajsjx4+}Wbn#H8w8qkTx8Tit6HQ@1u5Wx$?hnC1MUU`o5n7^Dyku_7
z1i#ZGCJ*=jBZ6`W%ZP_Uu#R6lBfi%JWezXA_Z(axJa_DlEt3_-dG=V@LmkH0cahiK
zw0$XGJ9HjcbyygCHh)|Gd;3!TR$j#W05)_MoXFw&DU1ZoQme3DBSe}SgpG``V`R?_
z_k;iusP0m#=Lj^y{7%Mnl0PT(4lxd{5)wrwSE21K79*TbaSWII&IKpxNmFaBD01qH
ze}-ll;@svv<%QdMU|T8B*Kkz~ZijyV%r!B@Ca?0Y+4g1VOrLpIc~Trj$M!YsYGop8
z<Y(C~A3pe|>hOA=lfWml=ezh$F!74kyfDo!fPj}nr`JE0L|9P6>lt$<c7#}#op~sT
z`hib_?&DGrPTK$P`XmE)idOyUTH=-IulP}a-Ev6HwkMt`WgxV8llz>u2-dlAdq&mB
z;KnYMP1}z%P(P!!{-LHQjP5_H``{%9tBk=L@7x*SGG^mGW-JDe_hIoD#1)qO=(<n$
z%oqq6>#TX<CJu_Pdu2zzA{-vgN=>UWu-lj^@i<8W>0&P5o{uPDEGOc0u`C11mz}))
z>m=bXnGjt!rHtv9!r4;F47gmnIa;eB4XMrQe!uxtQKi(R>u1bB-QtPQdoL|VG>2^-
zkAWKI{^s#XF6Fkyr|W%FWo7Ze3DJkPt0TqTRxJG-0}VHGc4|G5gO>5p$D<cDAlmvt
z_s};6+N!s&$=a&`Gja2Xm?ll!5_#*hVhJ~WrO$h}iz`8-YxLzBQEg=Mh`59lF=5`l
zIjvzq32zH}<5Skt;4|fs=4WXLuN!SDwZD~7m@*yjm!JcORF*WGZbKZs%EA%cuL5`e
z3)_VYbn#sOM^4@~BW&exru=(Vkx?wUCjF@%3ZQqa_NXy@rTIR->rlgmOJfuCJNgKy
z?4A(vH-U@s-2>cT)KQZkxFy)%07qj~c5ojtg{qVpCr7OY=8H$7GZzeymR&TXk#2_e
z73Xg&+|xvYz5Z@-8Xbp@KIST|Hpi{U6@`v*TJZAR(reD7gTCmZQORbBkmKy!8iY1p
z?zpnrNSqGa%sEFHM=Mw?pMABZTN??(Q5~zV8Xz$(+5ObX70}!fW_x!R4c9Zg+xC{}
zLvdC2JK2}ksJtB1ANYa>m3GSdLW&+tKiZ2&4HD2x4s@>iO~c#Px1Wv(>OwR8l=-VD
zAl`Cg$Jc2Z_zXtegEr9cyhFojXaY-f)^yvvVJR;kZ22p_T?;-Bi;Qx%*dPxhd7VdT
zP^t+X3$xR}l^aH!xwmX!T)Zr5^<QmR+YVcdiK*dSWJpAQn++~#rmR2UtPMqP;}Ypk
zWmvj3&PUDJ;P6{nYu{r_`Q7t)uab`<1j4P->p5*<!JEG^{){F9UI(w&v6qEZ#Nc(s
ze>TWgnP<OvTm$@1{^=C#l|tCf>&EG=Hn86`)YiFI9rx#gAFFgM%|XC9>5@Vl_!qy4
ze`KKsr6JQt22X_{b-Pf{FvtccLeg)`^QhwF#(4X$V|*xUf2&1l*}z)-t`_-G8B$lc
zw;s0P#_fDw+V>V<pX0>Vj2lXLKD5`}-<=(ktgMHB!~?D#GQopm3fLPF&=y2vK|0Ic
z^ygYYqrVRCt717M2nc-BUO!8G<?52=&mb_*5Ovv_CIg+eQ)wNMe~5SA9_cgNtg$L?
zTBPH=G|sHDa_%abBnHkJnNBNOL#XHawDr;+d9;u7R&~ob5nGyT(6?s=MpeA-IL(N|
znQQoh!^<(kWdqL-?LsTmzj2jn*&~KMA?r02UB`%Kk#yG7X-oJM*MH1TiQvU9d-*GY
zV?=L5sPc7tOZZgv-PSA=#?HDg4UZPb2<^p}mgFT12wn-@m(MSRnB4c8@}uKK$r|V?
zjhMrVFK@pSmjFUv#%KuYO%hW<503S$G)K0R#madbK7`z9y)}P#iVzp}tP;CphPwY~
z7uS_9LkNA&bo0(X#EM;yzCYnLgZWeKu7Y45SjR;EQFfRieD3eBtPL?m@wRTS1TSu6
zYVNxB)Mb`Xb0W^zb($cu-Z$4Th6@^h&+QI5K2HR@x0onzFagnbV7=-GPWT4CIJUE8
zk=VATLScKgG5#c89xvL!iMH>q@0Mw?V)d_t%~RIKcye&gcl#^{E==}i-aEXMzh#Qk
zhRThQ_Hy^~#`heE5u&9EH?yP7fAEh3VT6{3O^%DT9B46)jmcTfiD2P3HA1fq;h?GS
zXVuSv-UO`>+Gj3oxKOX^;bMq0u6MpMb(Y>;>`>_r<AJ>NyAM{~OlWnzp!c2QL}kqJ
z`4z^zIGT4@<;!6vdS|j*OQgBLJosRYRhS?59<G|(AjE`BvGu<VFS#)4xb3nIpCGc=
z6o|FmV<2qs?z4(B+$fVU=lm-!jCFo?TS{CQuuRQ&bcy7Fh;`b~S5pxbx3yf-n59G1
zxO4NpQ_Jv>mYd5OBnomZ;d`=xj`GEq=H(<WI`00LU{8ucCV^|ay*C{R&xf1~rTO6}
z9C##7Qv#d(zU}-XM~C#j_#1<l1)y9-+FvP<gut;8+5AcaBn=fDmLr7V{cz)_J*%Zr
z7hT6_+-iW??GMuUP7346K%7n<j|`%9SoKQS4WM<CThK2_1Uk{>X{>#+z@?V^T9x{U
zzj<Qn$yHITYm9FF_){LAH&@@bxu_5GzJ_HBwPJ{A9d=9SSkkGrqtxygeaJkQ*K!h)
zz-^6f-D@<Jv0^LFynUiRoW36-QUfKiAuLfK!BYj2Ql&@6^7N6f)H|0uD1|+;r`v0;
zslrt)*QIVmA9HTLmzKvZ$L-(jof6Y(urD$uPH!;)Qo<D-4P`NU$Vazgs|Lax$BP()
z2FQC~H^9a!54T_RA)_~%C_8gl<)0fJ8&X*dvIZ2;ALbbU8`=;IxVPs*Jsm46@%-aq
zB@`=u=wX)A@UAzWVA;vQdE<O}pLk{bI1yF)-AES|X@tMI2ooVLO}APzmj3ONr+nz9
z9uD2HJ=NXG#Qy*Q0RR6Kmxn*q{};#Yz4xBiy4Jm}y*|f9B_)KUj0%Y&5{hJ|l$G!;
zDj}7Sot68RA`wX;B0G_lJ^T6n2j_9ld5vdz;A5?xDp|Pt`%h)Vt{S*T+;JA@AOSg>
zc*OEM4%*af)p#Tb@E~edRO5#x^jd$<JhLqa8Mux+-<}abF=jI62D3K&@H4Fl6jgw$
z@`arQ0U~_m7W%+%rvqQ#jk(eh6@g?Vu6gw|5o&u?gKesH;pm2K$q#KMI8>_g6uUu$
zK;3WY(*%8p<(K%PDUXNy1!_7ULy4d^nYT=-GJt<lJ!1=Ncpxn|F_aq<A-8R4W(|yB
zqAWaYJx>`vejp#c(oO*3GV2#d-Wx+xJp6hruLAR@rABDw2r%yDpJpQlFr3}JBO0s%
zoDEmprqk5GCxI`ay9FR*HT~OiiVE0jd%nIBrvgLP;mjkhCSX5VtaC0<1ww?o>&n#d
zP;$yQeEFvdG;d0>Rf?;?@KkwH`eOx{zm=a?Y(@tDYxR@rNy@-ncV^?>0uEGuezFw2
zLxuvM%rnOAc*s%BNUGG80qWD+t(BEzU{nh06zo@meU9FA38Ip)o#Rs&{+0}8M@V8`
z6h-)=dG~%ky$E#Y;9RpR$Uxw%>FJMFfYWP>l{hPY@O4#wA(2Fe=90|LhwAcBLJ9g?
z%fby!)LuD{?aAPlM`iu{BMz+8%6+SoSs(^Vw`W+%VDWx`*?-QmU`$nA%_2kxe@n$^
zYbs6PpTrTK{yAxI!k7I=w%)-OO`Di~9ZY~9s?*kDq~Pv)gMswfWvtxE?k>$DfTQrn
zlYoN~@F(F=a&N{oW_R9~dp-`Jq^Eqa`k5$f2=z~dX#d1cpWb&|MI2z^VJe%pqA)CU
zJPR>;^9dX8q9|Q;#~>)u`1bYB0-!>YTAqDXfayKbm%p04cgN)0YmvEpa8)Dkh+|O+
z<!n^X%ml><1e{Hh8gh8x{ISJA^BP3K<3)>`mJC76Tm~QC!3Das70YyQn<xPl1(Y%s
zL&#5a%S=7Q0qfsSz2d#|mXhs*6KC`>fDbI$|Jm8F0&US3|7Om5%75C?eLsu!q0nxK
zBlj5-$oV#$9$R@y5qUw(&|TL9KdVpi+?EW`UhFExMU#Z3)5cY-?$d*#XTcO{)4|jf
zXK%%|YK-vq*4w`ibit+Vzs+<H8hG&PpGxqp7A&96UE$x74p7N5i(UFc1zqPQJKr{T
zVP_RoZ~U>*0heE63>gc%*oiUoBORN)SVXMZ%{vv^AQD~Klb*MYX)WmHZJiv#gzHX5
zl#6P^_tBW)w%40j>%jxeF219f14n|nUYr(K)r@X7OK)Ima)DOnwG-Ii3hRW8RZVzu
zH{!+D{xxjyR;$T0_iwE0Ci8l?w<a`>TVG}Pv5LhLCEb{U|6oYy%<{`o60o(7hiOZ$
zVobt`BGj|<80O=1*UN<jZO%Ez86K}-<K=d{`|B4mwuyF!<v|Syu048qz+nYT;%IGa
zNm{~`P?3<)DGg|rILX^bUcsgnMI$`}S1@_I<^|Fe5v<jF(!RN_V5{!;mX<E8VXp7q
z8+{5Of?RYn$BCCK*kss)+(!``7@J28qM|0kYW$pJy6h@umbaceTe5|TMy7PP-X#Fg
zQ|&+6vWk`0zqDwe-Nn3Tzt$-z?&)6DaAP%X4SSa#bxj7N0#5cx9m6PfXpEG}3{G0d
z;AbnDDU}+U%^$G&)TzObq~DhvD>kqoU+&j&RJ4#UJ>j#yr3yL}!}_Q6TbR&0yi;2|
z9mr5=jI*1mLPz<*CyO!Lm`a9Iqox)EPz{KikEf~t{d#e*t>!LPVwC^Tjg|?(;-X&j
zj54rlN)8iPsX*qm@?-o4Gqh`nyYn7Wh9q@iY6(GV$lwwBRwBX%Pu>yv%_{LAkze}&
zVKngZbuh2Pc@DTA8c;l|fQKd7jv9O%Ed=ZMx}Unj1;^#szO>{iK?K3?eaSo>oJ^vA
z>;Ih_zWNpgm#HX0beB@_?@$I18@Cbu>&Odt%y{YFAVnyXUceWrF+sW%mv8DOAGANr
zi&Z<V2&0ea1^8H5fQCpXEz&3elgd8?lXw&%@BG%606sRjqjZC4`$`CoYj8a*>sA1@
zrt5KbRvd6cuU=)hMFa%oSn}UJQ-DIFv3^|_E^x5P*Qc<H!?hoJSL{<1fNgYepG_$@
z%!)3YS&ou~3bj)sXHym6bIE+3hYT-7g*BXO;gbgOEerMQr3#Svo9difIUjV$Ihvl2
zlmTH+!QjGq1sIFWYvT440P&bG`!q%zJfQt@>%OfboH$fDE?_7GbvE5WAM)iuwsG}x
z(oaRe*$Ta_(G~$#lf$(yofSY{sqEtAEF}=>i~ZN)AO`M77nB>7lprwl+FVl-9%On<
z%UrW0VArMOvmm1~7+NR>dLm_*gn~rJXekiU?8TPnRlxAbq+hI-D%8EZ{<ObU8gP}8
zYnOkhK|*nH1YuPTXhW*qW+i1|wBU)p^eF;7w-Tzq7(;*q{Qh0vqHs`qzJpKZAQ8Hl
zw5Pplh@g`2qq=5J4xWaTg&vUBfc(Z|s>z}xC^$P#40cg~iqI#82ln*#Ui{bMM1dwS
z9{Z_!vrQ3favur5y+i^nUZo8S4{h+hf1+tq6%RCAuDSK!N$_0TE@s|b7s@$2uH6h%
z2A6kkBVKfxaD|0+a>h&_XzqUV>M2wK+19NHsc91AwcQh=I%WuiTV*-p<*HCScReRH
zngnBW^(K@H#xS|@hOPL98YuJ~-Pvy6)Bj{tkbofo$3RTuyofqHAD;Os*Fpq>na{pC
zq6z%*7I32XQU@2MpSIh<1c(TjRlzvPFm#l&<IP!hz^Y2wIKQbvw3diecN-bjHn|y@
z1l8ewQ{=sUC-JZ-y6+cu$`qLIZ4WvIslgbH)hDF_c^DM^@I0Z-6oSlM-c;REg`4-U
z-144~0dJopV>g-2pdmuc;jE(yu&X_f7WI?>vhz?!shAo3_i=}C_zxZumq<ioPeI__
zNZtR1$qX(<^jze!QG%EsZD?Sd3%<suTyf|&-Rngf4w`#^`h=HCNhzHHtS#%FCPbNn
zy&S<tk0J+;uMCCz#BE?_JqX&XVy3YEML%(DSQa$qRlo8}jbi7Pb!dv8lc83RPp6zl
z1`b>r|2OB|MOjFd)ZkGj!y~tURw=4duymiF({XW@B9wD<f8ui!IJM|_&9O@iMuXlS
z_$|6d;g-9(nu0R{7P2jIB|sQRcMn+QN$gNK|1>D&JON-7Dv~VQF8~FW%giN3R7j}J
z_30I904D=ZmjF9nIIP%VGQdlNx@GIfTn}R4bcSMElF0>1uU91>PSK#qH^TJD$rw)T
zb2lC|U<2b|=d7*6w8&7J5}Foh1R;psW`6}E=<RbYW<5oV3iU(Geq|U!d~`cWD~lFv
z&b(ij)~7{jX{jfC-x<LDo<|wt1OKqTKtr7VEDdTOuw!|>p$}u9&2DRwH?W~N7Zegt
zgHk))gLHND;i~$Q=%Diw#w+4XTPZ<<`mV?OyNBsPN1(_(9fLpE=o|0Z-EwLqMSO9g
z^n)%a9*try9vQ_h+E%%X+EOD2-d3$_QC(=~t<c>P`-b&-W*RQ-QXwTb|N4eN9r)}Q
zRN=#2gEjje*IjO)Ldw5`s9$tz!(T(@%hAmBl>5oX$KBJY5ML+h6O*nsd~l7)kD32M
zSr$Kc`FRW#Vt2aTa_@;23@`dyB)=Y{6i--rTu-Dz#}2da<K)tUt0fOS?!6zQTzTEA
zPO6|n6;cUo=Fyt4@8e8Uy5$r_ptUu<ag_@FmdV4hZIOV(EAiQ-s6Ujt@%>gi4%Emc
zZ+w^>OaekeL(pC01&X=Q7R!ro)JQZ96X;yifENewp2_lmDPHM17ZWbgpeE<fNe{y`
z;Jd1tDVchiV&_!;E}lq>Zcn^>^Mqaln4|vQmg-rdh_)tcJmaE6{i3%XeY;D9vih%p
zD_o<D6M1z+c<2#%P-sLCM}#x>L3V?;HYm2db}jZg3@CVZ8tbVcK%v#u8#ga+Q5pvV
zQrM#yQIG8=U+qx>yeGdujk~-<shJMSGhAju792S?n`7#5lAnzjoA{4nYg_+PDVYT^
z9$dN}siY1*pKg6CAEQDN$}a8a9NEy{d#SyrLe!woyHlx=hXyrQ-QpQN!huX}ep|40
zslsn*&zytDXpzt*`>ZiTF4QOD;K!k<3ilmI(uNgu=(cuM#i#S!=%=a{pJ0v(T#|_J
zNL67#zSYxJ_iA|1e)&@gTcRrPUHR;|dlMrH2{Q&`IX*-a^J?-<jxz9XuoHfUGNaRs
z3xmH)`Oy|xaVu3v8BUMarX4!YijJipm}ogAh#YjDM$8ZF<?@B~Ydo&(NcU@C3Y(5F
zGHZ09k4wSBmt4!$qGV3=;eD9H5J?mjzrWMw>V$`V?V;8^>s;uWww<`KlQ{Y?+iKgV
ziwAP3UHoS<4@yal8v6B8616?f)ht)XgKDR81JiR}BtCF=nvY)^b&sgMktX9IX*e%N
z9nX&xxhVKPZy9tc)!XjVB|K=3X_|leD1h2or=?_iWs&_Q>ytwt@Q@jvDPw+H2<aZT
zmohpohf3BCr0tq3gN$`V?2YpxC_RAb)$@6Iq`*$`uv<`u^Vh!Y6ZI2A%}L!ChBFjV
zrAcbyrB5nw_TED7=v@iKYSDL5)C!O6nh&oSkEy~!QG3%xA1M@hOXM5_y9zorR_9iw
zqYjtjf0RXKNu!q6{d(6vsiM|_gXZ>L1Tf(pp<C#eLF-eisg^g?kv8iCt{2CN;PE}Z
zL>-4iaj%FA|I!GEN2GIf&|d@Y^&K*A3Y0^$JJ*N(9Es?^%?x#pG7`MTOhtq~$fJW)
zuP@)E(LkjvDFOe4wP5qg`pW>Jy}7X>=h)jCsD;zNp!AtG>_7RAe#S)!F+Ki$lsK({
z=3jKT{&moW_0sJxk*Rnjqe$ur=O>{8N{TO&v_9C&*BIFsDWg2!mQ-tc64H+NxN&3K
z0Q%l1U*F78LB$LZc&1zfeb&*w=sRcxns-$G+xAvPP4db0#$p=C%KmzHb|nT>cW>ja
zZmXi}`4nDSAR<}H%O^i-0j`TQHGMszhSJN)oij27bhYBwxM-XSq<YV1I=iZ&Lm_!g
zuOFzQN<43dpDr0LpBH^Osi1~h{8h{v(($NB>2C>RD;ezOly6DDP(?Ky{g0fFDWF5L
zX5Z#DO`)|-t+jSS1yx*CIgq<8i+*HrD4)J+3i*yFq*cb0(eDjb7vp>>M4tQevFpAm
z{HHdgaOedd88Wn%ULO(J(;4nkahfS)3=f<vGEqVbOGRERzxa^dMBMbEzbTL!-Sft)
z6p+xNgcaN_2YS4pEj*cI3S)=+L_hP&Be$M0r>HP`lyy1r+^?TxxE1-6bLlh=dH;&O
z+Fia$>HVhAW*kO_tIq$bmWyOi&2>ZLg9oQ6RlgdReb~wHr9&uc|Be)L+xa|mlhjDr
zeURCkkzoSdN$1QLUP++yF1md-9R1ix(t?q^gb8HKPGuX#i6Z(V`cW;|G^P+vA61nL
zu*}!W&~sA=&0V?ny?tX5qneJ^)4~IsI)+-JYWY!jsg~K@6DydubqMR62L^F@J1ZX~
zdC|8y^O{fbYuIzA(qDzwjKMbTr><Eo7iuX?7Po0$$C3`rWk1O>g3~*C0d#!q2pt*V
zQ!?McZl#LLV@-x2&2k{JRFoOftUVp_(cZw;*KWLiuxJ2cnz8DharEd@fu3$c<2q*E
zqu6ps!2o2~-8Np>(4beLaS>FE>sT!9%FR}HeMrCKchYidmoj<V=OeZB8pd$|NkF#0
z`&iiD=XyZDZGL9AbAytRjkEQ^tzr^mv`#roy5J{J+hKNSh0@nfpLj!h1q(8HP#<Wf
z3;UN9gqN%qDaU&T`8#pTSlfm6mn@k&z^oj2!};C}rQD*%BS&Wmo2Z=GU|Z9ML95(u
z`%@DXhbJc<_PhPXI7cq2syb=|O^w(c^WL8nZU>Hoc25_vXfdY<xdtu3EqB*k)ajud
zT`To)V_L+H4c|Fdt*8Zb(~gpSer*(!F9VjiI}2DB&LHSjh9+<v_3C=}rkWBuB$EG|
zxPbjNGZ!9U(F7^0h}_PS2<$Y`y#_7MW8EBQ1-PR~K=zU|{Vh|A?YsGz{YBe6R>t?6
zLuE$;#u%f_dKX$S>cdf<6;tyV&!Km3SoU&I?h2pN&irRAse-R^L2dz~brx|?+9g7O
zHDu}B{D%GF)?0gYbphk<m^k`4h6q}k&My;tzhnD_7UkmqE?{a=Y8f&dM5r`7_1^pM
zAZEzb-@}-=h)u|zE2YgOz<tN!;@2y~m~gXVQQ_gg*nfr(L)4WCa5YNXa`^WsMl1XD
zsH4Ub_H-nM34cu;xHpUCatFt;)%u(m%xD=)DbI7WEKma#*Ja6|zDewwY<BIk-wNh;
zA>eGmpeod-cD?i)nZm3~cbPA?uVSC7#qN;=RUx-QbN<Y~Y0T1qDM7$~9jo3=9PM*Z
zfpq0dH>vbyvC`S<sz$a=ta10pmAhHWV5T$A|Lfj7mZClNsd;q^TV9Tda-G`C5%F33
zF}6j_D7qf)3hZJ(oQz5P_3;oJBS6wW`xo1O5vKD?mkMHOCB&WXD#5{0+Z^h_C9L(!
z*E+!))Nr&${%!e!BJ@a|d^796f;q<?Yy7c70~?oDqQmSJK{0x=U`lBXqxw{^WPh6u
zOw#4IW{?70{v|yn&b)!05>T$)vS0whtZSPkNdf%ogM8@uwy-GC7u&g7Oz`~jBi5}#
zc{o^Ao8fz82irV+A@YVT3se^cy9B7oLy2_EuXywi(=|L34o}%YZ}M3GfoeGzjIQDi
z)24<-N7c?A4Nj<2(3#Y;l!F2>gIV_?8Ze?QV>m&@4fV|DNh(t~INb51_rL)<nCDw<
zJQmLbO4l-|^pkNwBNaDS#=-#W^;Df9`g|a;f$y$0!vRs*<xaplBdnKwqT1mVfIJ_|
zZmT`+Y|ogm&g5r-%51q%OhgEbh40VJe3ymX>YU&xPd4zFy%CddEdn870X=^jWFbXf
z%)fe`1G2amqT_4DfN5#>vviFt3{T0F?)Gy*nFo6v&k0G;KSh=uYm)`;Y!44XS00cv
z$4*6wNCWjT_5|FPESOjC<4kAZ1Np?2$0ko@pw6ef|E47l0`&Vn^>*`vVmH<A6IM8Q
z{5Wm$(pwxXp3LT8YZU|~_pX&vetGasn+X!~l!HZsX@0ILVW^WN?Za;>z)?M2xo{(S
z2<hbz!!*P|U~7EJX+sIlN@h%4u~vXfmf`D~&m|x%FLgqObMODCB!*I+DT4iI;a8L=
z1?(cGn3k3rxM0PkCQCeAJf$5V&mse!r>P$vCK4d@nM;nuJ{5SW^w9Kjlq?XsdT(Z#
z6QMUzr&s;48r)^fsV`-b10z>7Qhr1OipbLrJg*4g_sGQN+9P>*Yt`2H)0_m_onjKb
zrW(*=azAoVM-j3gZcsACG@-NX|MgK5qPBAh+?`4wZLvHs+N=rLkH6Xy*tDS@n^%l<
zQiiAOo4BvqT0j%xfqSK+3kh9v-TfUZa3-qRzs5xizP~?zc<hEg{K#$obVgDQJfh|q
zE@)`MGmG%<%QJ@1w|1sF*;pN9dfg1DUuZ%Qr}w!Zwiv7=X);{o+~eCxDmC8*5`<r&
z5y|ZaP~7hAS~*UDgWdLG^MM-RS*Y<XXUYVY=w(w|uMj{bF2bVZ8v#PR+#WCwk|9n0
z>+~%j0-SqVa+qO675)tr$}v4Ng-t)s({ri>aG5=PpRQ5~Uhu_YahMtS;i8jQqSfK^
zek0u%$K=3VVn}Q*#|%72=A}pM)j%-%=i=su6yQ|7W8AvTfSIv7jOvF9czNpn5=;?>
z*oZfw=R3@RVl8zjRaO}a-yaQF?BIsO52u?<v(4c5HGkt610_&i{;B>1(L*v_3r&@k
z87LPX7}MC(aoBmU#~g7>m>J*7y4<KKOdkH{<}NG;*-D$Eb&@%hut+(t=ci5K0l)WB
z;Fb(DRQ%`bJh4DYZuEEd>?K28?C^!|aVfCK2-jI}+@Y}0yWQNsj|@{kc|XRy5eMpL
zg==&zv`8bURI|U_1Xjv90`i81p@}?JAK}7?Oqex|&&rxW=)Cv`Mk4_@t$R@}YlInj
zU*61;%m9#VD(hhW&I3bFazu6FSP{p>Uq?GGfb5Vf*q|RLh;UaWRY$O)nuDo@CnYh+
zdSd=<p@JD0X9cbJHrUYmj9WPcZwv#u_Sb)h)9v{Ptw+vY{$Dj?R(L=*f_THo%9-SU
z*z3Sdhmb`!G<%<z;^1irBV&ebZhUK)uBP=Xrsr&^|AWF`wKM~GYgYW!Vs;L*EPZrh
z*pdzPdi<NW?9c~^vaTI=ixDinGEvCu4=b9;y}<mPOCQ+iofI>y-(d}9K_;1LtSGIM
zu9)kj9ysaDA0~RXP$mP|GYYL)(SU2+Q}Qcau<A4Bd2jWTa>6;uARWhwZnVS{^)Ty#
z<IyL+`$DHE*?Mu^_XJoGk6U!bAs-zW;vTv8*l>aJ5yyy6!m}c|d$$`5_PBVuD_k>U
zWQk%R|KjBNGptCX<GQ4^i8kCi&eh~-xJKc7W!&V{#EQn=%*0w$YC&vH`cC4BO$yP}
zzKZz}8<Kp<FS((n1$RR{H$EKNp*%^IQRv%cLpW19Dk#>3diLHHGmbreW{i8Y@q-<`
z#f46@lQdyF{qsjvA8JI-_nuGv#erf%7lYm2kYK!-Ix6rj4H}|Wmzn0|LUYhrNIpyg
zPv0Z0%))d?WZA<xqKONUtAziyk7|IfM|S&-OY~^NATP!wi5tZ|AMlq8*MJpwJ88Wh
z286#r{dnyX57Pa|@+Cr21Ag3B!>O4wp;sI6w9x^)s9&naLbinnmtK?1jovXMXYJw>
z-*59FI&)vP)0g*pMev!wT*p|^PFRyaO(Q>&;~_9U#S<ZfKek(ynjP(bGML4~D~Mik
z1^o8<MSxHALv-u!InbkpgV$uDg^)W#hQCQ60VJG5H=XRbkn_ocN2WX?s5Z`EVPMY}
z@>#DK9dO`AT!!y2`!|ZB2WEM5)HVc|FsA;x-<t=?=Th^Ar-&n(=9m4M8U*+d%0Aqh
z!izeX|9sepl0^3!vhS2j5}>iNy$9F9hcc_Gud=jBq46`lUO~bH_~S9apCBcGQvWz4
z7)?kcch-PrZD|5%$xobRju%9U?;FfhIc1UgaJ>9^T>>cnt7CL$6-JH{(*gn(I5c-W
zB&XDk0B`NbDg>X3ApFLar&zKadOQ@`(YV)_LQNOKb&rXm%&w1oy`%Ezd3ULd-wXk6
z87uNTN=qO*+pU-FMv8k}yZ>v34H0AqMS3-;rBGlL_kF&HN+^u|%pC7$A{@D+PH(;~
zg=mz=N}{*$=w@ADXqJ}->|`A~9zi98L~Ch1%4}5-HD?nl5F-H%K0#-lRTlYN7b}_B
z<EcDj6Q(1xB;dF=up=XeLq{af=&QG>Aye<;w*UGyVUW7&;YU?DG`t!ma^$-@BK#4{
zcAe0IGP7_Zt&u#6Oe>lZawZ@`SA`QJs}6*7pX$V$D<F2cc^auw0xDr0yK7;g3scE~
zLaU&NGA~d{sK)mA&R|H4DN7HgL+-x6gI7X0y7oJlW(nxTIFoDUjy~8_CdO88DWNAj
zW@=*X1QcxSV)lK{H|Y1#QRIv9X!Bb3GJO~UjS8N(GwU>hxxz`^Is;{N=;G3A^>uY*
z7-TqnRuzMr)yenf9w{SAbAI~w2WlviLF3IU1AqqFo97AL$|%t27Ss0R-hRY)Ybjj-
zypNhw$={TbOseFV>=Ygy49FdiwKD;SpLG&ZxymTl@Y4IQMT#ipRjgkCGJ#gyq9C8K
zG78T!KJI^TkG~_`y_tCT{8@vAYd#;39_kC`e(91$XYVHy87#?gB(yStGNOcvh3g27
z$D~od*JqvcUS#NIZmuj?QbeJRpFKDR#ZgJ6(fiZq$*|&gLw0Rc0ZE_jC8b#kqt9(d
zbo9r`kUcWhpI;@9-eloaAMo-cyH{!PqC_&ht(;}%2$Dl7UmiDU?c+v98Qx7@YbMZU
zE5Yxth(jLdM6QSQv!Vw!N=_F`Ou*%EX;bM}8AQi-<Myr~12V|E_D$Bs1oQ~M1-K%m
zQDLT5|1eM^CE_iHZdwyar1w>(B1s`S5xK~Ulue3<{G%HBJb>Bu!9NN^;z;7)aJ7ix
zGDS$f{q1)E(C^vZnei7zxIbEs#zk|KV6`(r4AmH9e7#yTDld$hURbYbd;Ow3V?6iu
z`K&SEL-LIns0C3$Ig0ydHA+!<=Lz?4#=u-1B0EOIkCsN17!n1CD9r__-$*V-z}NY3
zxLuVOoivLj20ZSk49jmOMPwQRLmVlPH;Nl+<<x(oe({~6`jYO1=%4`@-wiYM-Q`41
zn&L9uHT{%JYp0UV$Qr;S>IxIW0e19100030{|uLRJk@U$$L&2X*WP<`x%T{?OGYJB
zzfwqpqGXhmQ3^#WA*qxVEfp$~B==~DvUg@iC?i6M`1$v|o`0U_Ip@4TZyt7U-SWe|
z^#4@GLgE9=U{lsh1?xU8e5m#D%<8jm^q!!^@$?E)@G<z~-BHegc@8pmbJ|1ns5RNd
zTVzv+$$F7b?`OkU%E;OK{3G-c)hEnH{7vAre*rzsniVbgNNw|gAM{fP3cfCUF$VW7
z2T!hiV@8Vr{+^k_3HnN~>_cUWF+6>LY~n@<6QU>EV6^%)-SK?YhxQvrP#Vj`vXRb+
z_eQAGiUPms$12kWr<sgkQ({uI;Q|AOTdQpy=b59M{C-T@9c%~&VROCpZVdQwsrLMC
zsXz4h>fLcGqXtkJU4NQhw?>y&VeU|ZMfy8s@n6;Z48SaK&QMNojh?Sr+rl3HmtJ;S
zDF0cnKBR4b7|_tQN*_K_*M6&Zg<fF&am!;*ePA9w;F?jjO4r<J^ikb>jm~{bsQlRw
z6%Ld<<Pe`(r3cvwM05-@V9m7i<@ZOauzZ=Z^NQ;l-GJJtveSwQJ&sK78eP(Z$H9ZA
zmloFOAAYNUPI=0V3H~-)R4(g5T&CRSi@pr_P37rTXDTZ$7xiP3oE}tM7>pF1VL&Yx
ziyu+VY?xy@$Zb`o3!Ysux1XdkA_LTXb4%jD*UIzfx9rk|_+Ul88#|eBoY7657RZHb
z11v`y<|(kbejoEm17^$)OW5CZoCiJ040q0Mpuou8V6u@e3r1fnP3_I(!-b8*4>dA$
zV0lnNoNF^HrW@Mkzl<Q^4vwGhM;Ua$=EhM5|5!GZ2^BiA3kC4!r1U6bpf>CerTEAU
zv!igtj=nfqGFsgEyQ$%a7R;Jsz3d@QoQ{xSh`l3(kv2I=-;Zg5*2-({=X~7gV53`-
zWh8>Pq7~ZXIkeygxhi(^Hy&hv5-6=WD~f}T6eG(*O?WL~{NYY7ABH^QR@v4fj_=>?
zKKIc_6B_57tjo`nu(8KS)8(rqUYIG*F*48uxqE@z{fY#zz`bGvC%X(@XucY|BBBYS
z1{)4|tO#OI^U4SZMGiNgKR7!qs0ryGRUYu{7sAEE-4+#r@~HYptWHf+6FLeiTSf+j
z@yY%>NzES>P|0F{Ua*%YxE?IruNxzZ3pVZc3%W{Zq`uo>jIIfO({VRvti|!uvuC3w
z&y;bLM|ND+RtuUrV!}EUB+-FAO|*fgiX0n8+T|Cuz*C~Om`_m}rD9#-`=A<b$xu#q
z?$d@+6ZM}WHnMn1qE~cJq6SvG=V#IW>43=gH$tCK4n<Q~*sjvFus+vy)m~c{#JCjG
z|4zzd6G=Xi?YB05AAn5!rwc1xQ6|Q!il|z&smt{y1#LW*R<``s1Fg)f9&ZmT;nUKK
zzRTBi(e-Qf>SZ2%xRAXd)B9W*F~fXF&Or}P%*82-Z7~2h!Rr}4e^pStrc=msNDp`L
z#^>l18G>q6O2-c?H5|PDgS^p$iVYjyS=(3`Lrtgq8JSb+cp!4#+Vn9M4PInP<_?)a
zT$jt0^g9|T?4{Z{@PUd|DM^#MIcCr}MSob6tBFOuWpP6HsTe<YFJo(f1^8XJiGCWZ
zg~_oZq;y*<KK<3-ByC{@{U;=4{LHn{e=lFD;5|L;7_z=K`i}tj$ja!!*V-7;a^qQI
zr7qI@iuf-#18lzH)39+_8<(517TN76NZ(VDk(*3|Fo9Q0b$_*SDF0fUQ;rty40Q>v
zF|>wJh8u32CED0Wp2DU=b-cE*%&`BpH8j-uIk;+TBe!ZxVecgsocLJXa9zR%@S}KF
ztCtqKnO-hS->Qh!I|Dx5-)RG6p8H?4_iExG3%STsUJglPF7a&vHlRf4W~!@d;CMqo
zmxr1J)^Ra17aX*K*|IWOfsblfdgffGc%%?|8TAPW5H@iCWy)<v8&%8;eD!?wJs-;1
z=W`aXSwlx)c!kXqWh_5ff)!s_@vNv*N%~W3U>x2fTFSoOmoF~bU8Swi<%47xUu?1l
z>W-@2-uo5M;&iiW^THJUSCdY}kv<x{{VX=7yxvz_Vr)%EqFd=~^-Jb={Ah6Wyqgbc
zhYUXA6q{YMttJ*XYCiCq2PpbA7#+M>5=m3J$I~wi5)<>22Pu&N+e(c5^!&uIPUl=u
z%foSE_}DA)PwW7$k1SR)Ukl@P{>C8(#u-BP@=#8b3IQf-q@VMqWNgl<7_8);B|_My
z^{Z^Gp!?D%v%E<XZn0MF{-!-g_zxXp^YpQV)(m&$6M4K?SMtb?@y;AE(iWo5cg+Hl
zq#w)h_i&=m=}0EovvUM`_NUFgH;0=|7d5m4+3+Lv=Ys6oEFocbQ0C8y8F)y>sb%kB
z#u*i-l!K<TM77xY7p)d%K%!SR9l6VZbJY*ZqV0YYMS1;qi5OFeJmx;H<-0-`yc$he
zHJu?GA0=MzYcPQ=p0&eM(u?%e*y<?(#c6_XYGe5>1ruONaUp-$IY;M<mai|Dm?D@Y
zxixl&8^aZo+OPLmXXwwj|2-tmJV6j=Y!#C`jNotBLWQ!$1f6nbXU!Y#pG22hz4U8S
zBk&E)V2n~5rQ0>?x;t5p5%H<}`jfH^!6f0F;P$dXy5=s^SEn*Yh*tGriGFTFaI7o0
ziYn`+KYrt&nLznYP)oh5f+7qcRqL9A{l9klL}!`3>iiJFt|Q<f_DdfM80<NDB%A2_
z4CB<&rv?dwTbD@rhxCD*y(z`v=O=pMLM*qJ<RH=1G$zG0NQK?oww4aj-_mEFbR~L+
z4-n2#jS_tOsqjOn`s9ThPw35&s?W{128bx7l+fEldVo2pSHAk~B3?;60k4{Ggty5M
zOUmK({d2^_Jx=p6@zTcL(Wm4aA;=Y))cac(G)|Z^Tih%q=(FdpFExB4S}Kfl_n%#_
zx3vTxxK>FNzHl7l6&@g5K5nq);MWD`OxaNVh$`aCY~Iq(^8-X^R^7!@HWaAAiWDQ+
zF9busG^2^^Afe;0aIhgj2Ts@=+bWydK>S#+bYUMJBv!h&9-PV2hLB>8d!HAZ2(ijb
zANpE`2uFXlKc($jF#P#YevM))@x|u+P{prd;>i~7bY`*^v=;lB@B6Qv*q>Ekr*1kz
zoVrl3@a#WLXl-m!7`WC+pnm3n%8OCLJI19m=Z*&4UVUS1JK9BDYdm}1Y0nRW^+}5R
z+fj8G6SYis-rY+aao%{O)^eQC6snLMHBkpGkL;$x>3*V&pVEBTb&~jF{MDZ`Q4K;|
z{~k?t8z2IFB1LZ&{34pCzdtAaRE3JNVYQ7NgT!LtNi}n&86vDpsdQqaDjZY){W9(N
zFcIQHS_w}5P4r&aMI;xffLc?*!)DzPBDpIl&rxTNh_CyV^hZ<$+R7I`#EFa%eLm*C
zmwwL^S6*7uBx03e<4fXXw%SkP?dx%~BO?pMp5`5r3`<Jza>wr*K1U}A{mZKcPx$^4
z!Q;KOq97#@HN4+?XLO3_Z9mzP7PLY%wi+ebPbva#)!q+{(?sG?$Nf@*Ys9uaog2FY
z6oIytci*DZZ{lkDX^n3y44^CjTrF*00klXVqpxOXiIe<cH1C^Cu%Oe|R~DrJLihU%
zvfj-TPRaUn86GSkOQtGaAuE7<jzp{}E)cp}pI!gDut6ke`_X_W^5DtTqZBi<M6ll(
z33LtP08id7zut}V!043kxa7V<%ogvP=j!GHsIR<q;+Gt>8=3LsvaS)8O-75O5xnrQ
zb?Cx;x*R+bk@CCxmjS*l^4iPmk>Ce=n77MzIdJRrjcB^X1U(Knj6**QfV=7(XFgdD
z6c_S66ZW&ftCJ3=a}vl<zwBr~Ss@Ew6@7|%cC$gtp$UkI6b5bHkf7!uS<tL>dOsV(
z0f}j!Wwh^#g7kfDV;h<*jPxIjAV#_1K-!0hrX_Kx+xYhHUPD=MG#R=E7kS~CS@_I@
zD^kF%xP7<Vc3C*;W1r|?L;_uQ`h)j-WWhZkaQa@3EJ&0t&=~6kU;|5bPq2wRR0M{;
zA&ba?S7|^rTqc9}Ilu6<VFj2<63;X{BL}3ClH$2wVc1=8SZZIf5>S1+Oc;6PLHz!*
z)kwT39NYX!mh?ykPQ~q!$*Yxzi;AQ75*oyTPHN6;uTTT;XP-nbeNcd?^s5rxc2Z!e
zRI0Q4j|S8l);<teRfLKi_7^6mW#CGm8&z+UHgMEIQeKQQ%&=M}cZ|qErfNgx)*=eD
zdR{*hx=$4pbGJvm^j82@LF#HgSr2@lYUWO4sl%7ZT1P2vB{<x*r*3I86-KohHmy3Y
z&#7ao>WeqZV7c{oFF8yf{=FCI6gx(N`4H|-?{HPf)sSuDO*DXa)Q17i@p|CdVf9@S
z)ZvYCl0x!XLrBdvla5W(2dnMIi>H}2!6!z&(9X;VtnzN`KRjXx5w)62t)*I!e&MoZ
zX}%FWetaz^&DR8+?tbhx-=+h!G!ap(HUhttNMC|%4#_rAw>XdjKD(bfMx8bSm%)>v
zPg^WuDdpfqQ>ZS8#%prDt}ujl+6}c~2Y}}@p4&afbwN<Ljg8}q0VpOb#=gHrgYLh!
zvpaOx?=Qhv`Q!%`&I}HYmwdK{P1&dPgst_!hx1*s_=qmldRBW*HQGQUWk%apS`QqB
zmwSwKwW0Rn!Zz#d4dBxBRA5i#dVUn<ukSQb14mDLsT@69_|+4<<-M*hT*%W+j8#$u
zxwXC8z0tP7d8T@w>cDyq4XKwi@|1%7iks)sZrH*do)4UAByI5A`?I)Igbb#po6Rl+
z+k$s``uWi{4Y(}Y+%gf)3UW`_Nvw*tAa=x0;LkfXxc6+P`tiy*@h0Ocy|i!x{K@^)
zblpz{w!QW?tWOxGSB8!~RZ-dieu^r0FK{VA?*13`Z>ImzYooURsf@RQl*{X%QXmhu
z`!4%7K4HV1JFn`xk6FWQvFA#{A7x<A_RSunXL#_bC)b&2TWdIb%3AO9J_#5W?KAFj
zCt=aqGP(B;XrQw7h?kdz2#B{&RwgwG;0R@HHkFqKgV|??81@N5-}!g%8{P?GN~b~6
zN(8{s_~~_V;ROyQj#oFF$oOzBfPcq#0<1_8RBj1&D3qJ8N=PK*+v;Se<3m=knB6$M
zMT-$KZ&hk6-y!2Bc9lf>j3rD*GZOyU3xrg5#~1!sGPbnsNw(m(1Rl3-Ex%^R38k-J
zuJ83A<Bp=G$PzOPIBqB$euLIVEQHj*_SGQcoP(&t^l@{j?paXexb>c1hTA*DmISfZ
zXh+?f5;Hhn<@hPSVUX@(9@J{rAc%$D7LpvSX0Wg6m-@t}U-aXZ<onVu1o21=P{uq=
zp~(HBhlI^MJ>t29_^JDXm@gADdHt;kjI=zKsM-0KK6RTlUiGOUb}cy>9#t`ch|Jmk
zBlD|t)vKw~=GB7OWV_%$b;B532xF5?X^bdygWXzdSrDbqa|ONOGlmMo95eGIX8c>G
z{EXR-jFKC2Jrfg*pyG{~-jok3nn(qmJ(owuBZa%F2(l4$MxG)|s<Go+g|K2R6(I~y
zzO4H?%MjZ5JW^UaIMA(CzbvR+2q_Fdt^QFBL4xMka_tNk%J_N?WgivBDv5pD<m(K;
zvQ^HEkmbR>bg@u2V-bu}xl*zvzyR(yP*1}<Ud&t3ZXK2s#dOcM4R1vZ;Hx>GY^)zY
z%6W^<hD(a!^Ak@4-d5>@i=kCOO(F?tnYp=)M&hV${Oe9Zq&{$T8$Yu?CV*8dypa$5
zBv3VA>=O&24<kJ~C;2@Dv4u@NJ*Hd|gA#Q&IB@8L#qpP~hqjXOm1N3FikdWX+%`Bb
z(oKaNxwBsO{|Vt{r3v4Ag);b%GFqolN`;5aTZ~e@h4E<3*PYpFa#(5hKG!Il3eS&<
zbuYw-pk3m4m=l{khE=6K*Sk&y^IlSqcabQ12Z&#_oR-JIsRxT3sZ?mx*|RrwRt#%4
zbdzGgE1*}|v9S-iRPa6Q6uz=S0u?(1hen1K@#V#DjFFX8aB$eh^5&r=o_9HZ^TmV`
zGO5{LbNxky2O)kxk|d?En$@W3&0l4F;eC%iR7W2k&fJl&&62^g<(@}09#s^st=PSK
zRv&)0g|yxlmqT67+~{6uH577d<C+`R2kEx5tE)fcu)5ye>4c^_GD;JB%smajM!TK4
znJ$kqcb}rRt_GF`4<(097=T6d7x|Dh1$=Xg`sjp;CT?tW@%)!)2m*(Q%Dxkdc+i}C
znwdijc`tQ4<v19D@Z;N*o6hSV<WFH@sn^12<v-ysgpJ{y0N-MXiZUjA4C^vKrj0Sj
zM?Y218$-OXO7!?2Wt6e0TXX%XjU{3>T_qzXV5u-96jQE(S)GM9?WsCQ>z==R{JSZH
zJEzA-1*@XYLUH?3YaOf`QyAr+GK0^4V@E1P)zGwm)y+*r2lIS7l|C<<Ls5^hJI{SJ
zTybz`Xvxz?L*d6{1x`!2$B!p{Mb&Zm2#Hp)tc8BwMTbZvE6B+f7NYp6W6P#`Ga9cJ
zM%>#J;mAdR`l1H&whVPFt4NyA8q`4VyPpDcW(auYv2^nC6Ln;%9B-aKr;a;^69d)u
zt$SJAqeB<3t0Sp=ASLj(DlSx_;EPfKlk(x4th>}PmSOI%Gff3!K5bQvW}v}POv<b7
zKWf-McJ080FeQ8*M`GP+M1#K2FYgwQtKo}t+dc<BR6t@^py1uzG#KsIFt%?{#mq#j
zOOy^d<ejK{6@P>V5~H^sT;Ny5I*I({o2oK6X}iC@<M4XDO7gFui3+xUU;B|&CxOMb
zO6;AxXkbvqnp?a@8C7iRd0!TaBKKnxF%wf7*lrvU^Vp$;-mlHy&UXr7*?(E*2Y6^8
ztJdf>y<HKrlciYwT?8??E1BHh25|0zm$R&s0x~R-X@|v0=ww(}C~yPdn(C8tCJyp=
zsVbI}%a;ddUi9e(I|ImR%Q=zl<nVoaBV(#LCkm++Uwg_7FzV>0w3;e|Or#5sUf*Lw
zw$Q`cCw$l6e>Cn@SdkPaBn+ofZn2<4Ld?O64^}YlWA~2nhXh`**=%LP$&AAiZ>pVT
ztiaD-pmx?&91~YO`C@-E;&fE;zpp1Pp(*Wc`s+uc$jr2V=d=zZ3cY@HxVXUr>I#f5
zeK!)p?XG2ke`*+TZ`NA*4|NNmy_T}w`dtVQCr(6(J!8PH*8}5hW6j|~*HM1UVlr;v
zXfxsMU_e)^^zZw=n}O71c!z(kAnx+*X6`X$M2)ns^n80WNI&t0vhjrgcHchMIrxDQ
zBbc4N&*huKy?e6fr}|0wVzT~J-5DlSy?ZV~RMZqs4(StHG)dU&$|W7+&WtT*{X%oj
zn}DCdzuSQ-{K)L^>mZ*S3nt5GzOwsc4EIW6D5F|@xU2i__UMzWn9<N2qj=O9o?F?w
zT=C(>O{$W|`U=?a`^Q}C9V13CC}Mbet%V19xZ*F&GIHQ1L-DBvZzDKRa?XT3hzHee
zO^P=La$@4OBr)|dL*VS(R+?_gg9ozDU*K5aLfQYgZ*c}0Ld-pJg?SwwRBVc78%X29
zh3B!$6)OgCC?I7a&WQ*8zG(bj+Qo+#Kg$lCxM~1rH=PzH-{ip(zwy>72@*b9>vZx|
zHUMg=TYfq_FaFgVZ!i!SK*yG?vn7@Kki=qfF*u7C*}A0m>{Sy)FUG~J4_^9k^KyT!
zwkIF12Bh$&Z6xFG*{O<7Zhg4^SuOB^4L=@p3uu;!6vEj9y|Y`(sNml^`gBEgJ%7|&
zlpB8%#&>PcyE6i*kW@)lrB{;Bj_USBQ$-XHUL6@X)1rc#DOGoWpa3p+ZQo^@E{5+u
zhx?UH>w#=d*fgOhh&^5@S1)QvpriMe@ON+ZAj>1q=rcPRQ?-nJq?#p>uXd9V>AD{H
zZ{2bze3p!l4L`(TiZs5|3Z4r+p$Aou6vz#8LP(Z*cVIS979XCxL7CjE2Tx?i*sOU(
zkYz3N-@zg|)Rwe&4t3Ronh(u~EX_nwx+u+a@{K%>1*GNBJl6B5vRoeDSus3h@-d33
zNdf05AG|IH>cMAu5uT1NaTFohr{>Qn;=_DplV{iTfai<e#;`4t*xOJ+KOv=zTTZit
z$b4Eqe`fQJ^X*c&D{I$zYiAW)a0v->;iH1oz?`yVhzwH46FE1>siMF5{O-!bR2Xs!
z`Z__DL;a}5uQRBI#jAbf-YzO!*<Lv4{zne;TwTt+SWrivO8cbo1N!j5Mt@t#H+lSz
z@A78;b&gD4(U_ZOG5~v>1NXfe6;Pq5<?JO}E%b=6ReA8n0HR{dYFgea;>Nb)qJ>V{
zcx$LuRzATH20H9M{d}c_jFFb*I;J|f@@?UI?@1%TmrEBRPZ=-Wbcm2x(ZO^2`zpgu
z8ADQJ&eA}N3O=`f8fkWwf<g1uN!PEKK*4JFpvO8#uCsN7#*R?19lPj-FHGSZ?#t+~
zR>RVuV!iSe3aa}4mn^?N*J*+;{~G>N!?WM^EOLLQp!==LZ&ETA@M<^d+U9jGFs_j{
z)o!Gqmw_13w$l=l4ZjbI%V=Pfh6$fsxDKj|myzDZSwW<T#b=QS4aC%3fm0sZ*ylpq
zxAusD;GJ?wA<r~0uHU+(ab6R3+dD@O>;^d8ss7sUjRwB%>$5Fz(!kOOC1Zc;0gSfi
zWFEe)ftv6A#-6V8fp?<E%9u)nXOj&B#1;*lKNDqG7pQ_Wc0(CM=V-ticH^Q}n>rTK
zEAE_L-|M%nhrZ>!rolqBLq?r}I^K2`{Bl-b0Z&rdiuikIkP;uA`8QAv_gz-v8WfX5
zWszb2f-xFI&PdtDUsgp@YD28BiWGKK(Bo^r(cp8r-C33d6*QZr?o@OW!#4kLRo5yS
zbbWx7J>kmu_oex(vOXbnE&nZ@dxr*s4c{fQb}Ql5p7}Kqx&VH-7aMQpMS~Vjaq1&o
zMPy3e^KK6l9}+Vm6Zx_<u*e-Sm}5~uX1ubu)R7av+KH(Iwg5QZm?DmK%i-2c^MRmU
ztaxkb!O>Ue)_L^yq|cWiS@c|#h!>S)Lg2i?6sisot-W=*%1Rn3J_j$>@vPC~Jmwu9
zWfBlH7xz0sMG_kaCyZZ_m+7C%xg<7>TER!&y?4%NiK7E!VH2;~B0Ze@P{x3c6{t@6
zI}~ph#edJL78O<h&?iLMm*h`bLg<$6hlZKLSmu;`YW~+8UHDKHi)Ez+h}DzX$h<;m
z@kNG3-g}PTC&bSp%x3|+s@(Qp&lW_zfxF$|zH@ZDodshKp60;2*u=kYmjJ#K&h2*o
zK1aVYYUH%xg&7!CrG#hcldv;y`c6RAJiSI|xzCZy4E8u@Nx}g>qz{L`<XHYgA0rNF
zBpfmY3m)Og{!AXsOBgE)4_TzMJ=0K={$v8%Cd4f!#kr9u<LErA=3n}o<2G+Ov`pa3
z;<A)rBPV(%Ew03nSLpgTeY5^cHHPKJIfePR99T1PyG2}mm40GLWtx%M7{czT^lbme
zj+H&C3JdxSc-PdqpA=#Q9*^vNMGe^T(@~$FzYj5D-15;|(c^}&t4)Q?yMzsoFYNqC
z&1XV$`3EoD4jDpKW#-{~-fXBcU3`v@odsPhxSX@U8^Fkh-n3*3Hnf{u8T1Qb#b2#=
z+4mkcfRpj#OeX7f$AH<Y$4hLuuy(cP;fy}Cwi`J8-Oq-Z@t2&hr*h!!E8zvn>%OqF
z=xXG(r)=o(b4Rt~W-e6xRz7S-(g*zP@=`#O9UtFMEwPv8LH1<77c~#4u=VxyufC`3
z*!iO;*^-YBjm#J`{H>`Vw0Ll_cs~aw8eXwaCXtXl_VDe#Aw6I^WKxi2%83!;S(8__
z1dvkq!{JA~9xS)e$`%c{aD;X9MqKxjX9fPw?nZhLHXi)M>pyM`+;XzLH;0U}0t)34
zKXl=}`pBW0TRgaI7QLFsAdLS#i@KJPqYHgJvAB(So$sVq**{K+pw(Mm{{SytFuZkY
zd4K9U?-W!L-MGZC%+1DxqNNKx{jo=FACd4>LeP$fuf_4!9tWDqG6i0Ro!r0SjsTjR
z@`!bflSD1ipbgT`DX`mD6VmPpqH&K}@tYIU`1@YH3FB!BB%BiWHvC9NwgyA_)@WIr
z<UAiP<4J+Z358>9t3t@E@;gQBs~jf2^I}=vO@Wu?RHL8HA}HXOsdb1^0slyy8t^+#
z0agQ{?5sDUc>7R#$%LsQJ_<16zwwv?MN75@#WZmojZ2_@ic-Rc7#aFJlP=_Q$Rzp?
zN?@p?>w#k($|$gE3j!N-AwWLjL_vlWdKXS@%{5U)KTk^awcEPjCHh#W<G2hS5y@^-
z&rw5TUhcD}IrKoXT_o2<R}TFb;uhZWYoPz)>7O-;dJs+FOo*V$qw2|5SNkF~amD*x
z?tfG&fT8?mZz~0C>)%%WtX~Ts9{Z*DY=#O{*XtR-wkqNpJzQ&Q-A6h@VnSBx^`T4E
zJkafk5`NdVJTT_B&I_lX<igJepuOqJg4%gy^d%Bx+6i6!9{>RV{|uLRJk^gEhwYV_
zY}xZ(u6ym3&oQGUN>VAKLgh!LAw>A5s8mLYB8ia7N+f-b(n6#pl#wkvd;j|P{CCdl
zob$Y&#S>0lyL$D&BWtKsI#mUWyj6!)3h6kcG3@RlX#k?>wez}psyNriF<ivTz!%O}
zL<^4?g6Hk}ca@LT(5a~6k0*nHZd`r6jh~Hx%V@Rj_#JiB&DGJ%)n(w8c+NLLU;;z4
zA4DJfQShqh+gk$M4AgPodh30;DI9*ix3E-(ibLV&l1m@c(TGfC4x*dEteH-tYAzMu
zf0e3kmZGDd-^q#{DFoC7gd|yVXdv^8r`vQ&X;}Jf7r*BjfHQkkNBkHXcrz$3HTb6n
z9yHuf*6^D{%4FNSNL39?nJe7hUqZp$nx($po96I->gWOL02Q0Q2pNs-RKst3<NM{7
z&B5Rc*|L0`ijk4qc)r#tqp#XhfZA3I$jCUqCF}zQZAwxmS9BGzce>q?Im`lXy!xul
zG_H=8yVeHXGUSl=${Uq+NfxkDr>5dGs)iQ|HLUaPr17_)z@gTg7I5&Sd*z-_s%Rvm
zA+jw^4AY|`xBoq30gf@(OY&k>P$$N1=RsFtO!HkN!Z%w$>wMqPIwNI#;QGQ?S3m%}
zB5K+eIV@n1^pO+&rHI^qat%#BT-ZZwnHVTDhr1W+B07T=P-vUSAEQbZ^sRo;blbxm
z#C};neJv%Ak~cKwFY_;x9Fk*ftjy*hz#W!icUcxo3nQY0{H94N-S0y2T>zUi+H4Y&
z(wO5Yldt)8guK-x&h}al;GBw<-gJ;8ChWwzko+F<_}p6D)l>o$eZ5_Ul*O?>*|S!U
zr;YT86TP*e&J4~|A2zPdi=aXa-=^OAFJ!Uw!rkuGP2iMza=d+37+sw0#)#hc<o<0|
zPYm=n!5^=M;&|Ehcwzn~_t>K<^1a0cmi_=!==m^W&lxC)JBsC<Ps>)33B~6u{hpb?
zvbFr_mtA})X>--ZVplae6!glIciI@7F8Dn#(^!YhMwNcy!8K%T`i_P6O~%k4@pXG^
zH5W$jxVy{lWFy)8_i)s&t42UEf9z(Q&4FxbZ#eq?YbJABH;+tq8A7liLBU!!Y#JBr
z`fm1%{C;Xud)3Gg24?%GbLgx%;|S<r@|*nn`9jIB+Xmp(J>GBhg&DJU?K#vM-Am?N
zUnuce)Q9-WEQ9teCR9of)%TwpAcgHtr3ZWJgO#+H>xsQ<q?o=z?Y`(?^4N|x_o+HP
zxRA;o7E--Jes?(EqfZ|v&k2hv6r1Wn2;;ZGk;r8-`+8TfO7J8ZX&e76tw0w{D-uR8
zURxqN$4{h*9-Sf;guD~e)O6wEFXmmHor`4ZPg|$VBQvCG`+4>BhdSW=thr|MsYS9a
zZo=9=WRCPf-sBrfI-qVJBeu(Ck$mJ?V`%(ffn@g(?e)&lhRgOoFWh!4l7@CEVyfLs
z<Yx5el%#7zo5|{B|D;7Se`foC_QWb_d+e!Vb_D|tT^zmbz_&y;wEyX%x-;S2?U9Cc
zTN&W8=V`ou*%C>2;T2&NF(bNcj&|&z12Zju_dwDzSzS5u<ct(6rhCcgg`cLw?Y~C{
zPiC!<`#s_{C-1T0enaE=96>tBbKjry9#|#4n*9PlnR4K`P|QlLyB5SKii*3^m~j2d
zLB#`0oOrVH_2wtpw14|NBICo#jH)%~eXQHLv9RW3gx#zrSoPW13{Ej4o5*a2L;pH#
z?X<YSvt1K%oRk~XnOSjsjB-0lk{_2YURnq&)ByXN@}8sy8^$n)!v;bSjrNBQs>*0U
zbD`__g&=mMM;+8^j}^j(SM$ZgNmO`!>(}v^ehxGkU)eSDcRkv+3sas-P{H$(s<PfW
zE>z{!FRwkf0dMvF@Q%x)fD_ts%Iff-f#nO`PI*xr<u!fLV@CmlJrCxj#duL5bD1m|
z6~i#;ln9#zb;$Q-Vl`Id$NNtn9sblQft4rT(NbQjLn-Y&%MV>a{B-8tv#>=eq<_(x
z7rUVjP9;-6eFKCrSw5JX31l$)eZJe?P<5DzVys5LTaRk9&mRlykwb$(mKxtkb-2km
z7SV0E0lnSsc?jpqV-T9*n=Ew*G#{vus1?E2=0Dyz2rA;>o@$39f7D@#snhY{c`+0z
zd;2XcP6<=$wpsN#Q=m{Z$hXW%0twGG>wE<jR5^F-_2xemX!O{+rfw^RVN?Ev(>1CX
zAH(=7UqFSN0&|AB=SH;EEo|EIpE~|5xFB{sUjvMk^M)?nmBsw7Nqem=R4lygdGutT
zCfNPxm*2cBhYrR$Qinw~@pjYtqyC;+@Hc5zX{V6_uE@R>%ITt^+jyp^dIB9%XH#$3
zM=9d>lhwWk+vymR#HE~amjR8MS35O+C?T(vyyii92C_U3k7=&ghRx%4i|uq3eDcMm
zNTZX1m-yQ(E>d*C`uFQz=_{(3;v9G7SGYE|=6@e9eyRumQ!%0+?NmeQtp7q*7qqeQ
zqkz-_R|ELyzbq`MLP1_t<6C`}Iw%qBmB^%E1Y32JeQaE)D3aDP?d`0CKWY=|99T`@
zpljlp5N{3SYA<AdtEhusoSMeUlcw-3!$$p`y(a$Q&Aj|5UmM+k>3w6n8B`cXZwOk`
z#LtDH43$v^vd<np{M!xSlvj*S+i4nZktn`<e1ML1-0>f`8Jk1j{_OUS92(lBnHub}
z(n6NqGsRoh%whk>-&WreXs9e{UhD3tfy>U_R;v#!pylGx!7g1IuI>rXiV;x9c!jeD
zRw|Yd+r<{X{hB5!tg1avdZ3Ko3b?9NFIa*`l|$vZ3=JGHRI5BdRlvKA#z!_3SwckQ
zK|CEqMcwybZuli^#F0<eEnZYwLRk4MEnJF%UKb*ECo#nEp(y{^)ND)8m#35&C#m6q
zCQ_wquMk=`ryNf?VF~-^pW2K~sNl0Ztm!4YxG-bB&vuiNB`o+24ZZ)z&Cg+Xt5Yif
z{fR^=S4y=7C~hD6Xcnx9GE@AC_Rizvte3b|p^F8?KMfwwuaHMfln)(At0AdYw9NBe
z<`BvJqKb(_4)fSMv-bRLB_5_Kx&|CJhr#NFS9YW{(r!s4RZEW$jFpb%n}Yz`ebi5}
zrb-|?9py%zO%X9HMfwy!0PeN@9JFjvRC#%%bxXk<;V#PcJ-vqj^Re-4n?7Om>b4fE
z-n&S|`-FawnlXb%i&V+%e|>U3SiZ<Hy+ph{S-XRk-wak80@<qh_|c%#luDK@6KWCT
zcP40?pp0&k@BEb;tL@WE)!LVdKVluWe6FTY6QlUobd4Pcq_(J=Ut1=kn;ZCyVoYGS
z`7RT!>nwQDPF?%Z=n_%bDE36<jWI}S+PqDhTO~bJ|MQfTS|Wyq{FaWh7=s;?vypD-
z0+}ja7P73lNc@=pYL{zg1gE%e`3KyaCS(3?oKG@bAbKiF-+A0Ng#V3wZ3wcTAm!;U
zHpX`I#MMWW^0Z+C(El2A=-|vC$?%}>dVh3|_;5-hqrl1le(E&cpV8?i^Ir2m-I_H^
zaA(@O-OSX7`lPPw34tx-=#TN%hpRJ0Mf`t9qd4_}{c!G?(9&9Rv(0C<>EIc{TXF7y
z<#9cr*+f@ml7-~?6XgZ`8)pcU(UyQ)?YiI=dD*72{u%K|<?WO2{nNxFg?*uR+jRlb
zb+X?Ge;~FcUJk#|I!!=HwJ`mi4$Se#*=8U5N_2YdJ>EJqO@#P0-BcuWV9Q0ezaEcU
z2uZK!_5r3dgl7K4UY1I2h+8l&-5J_JxG6JbRz8^_%CE+mJ~PvX%=tsa<%QqG&@`XZ
zwk@+nB<;pu!D<HN1#YtQO6(=N@*=+0ub(4m1>RqTwlN^7*?FU-<N(nWTNkgzHBWrX
zUbvFpN(cTIsTz$*LqxE*k?UjX0<r1ZHnqn`=unj$?=&qqLeSarirc~#iLu_iWv4|g
zcstYbbun>_D0+3wm}Ffhvbgo%%d2StpQ7Q#14$D^ebIG|`d2H&r_sFTS8g;obu9Xm
z`{*R`+=Gi}F@KHV%1};KNY(^@{hGyGmnlMJ#<Q}0m<dc&kJs#L(|}_8u8Do$r->bw
z$%9wrSm2)YgW?cH4R~+ABkIooW{E@hmvUOqu)<6C-j0kwD(qTFXuP91PbBHhWP44r
zLD-A?yvsEdSlC}bS+cZ1Ol-DTkx1Zxx4YdRd{n1^PpBI2iNz(txMh66)}0G1?|rzv
z=O4e`N+0fuQ(7eyt}3%8?BRjbml+FUYie-%e8aa`f(h7*H`mTz<b}Qh3+c;e)SyJ_
zhQzZ=%<#<4XS8LIAGUitr#Q^1LRrM_n7C0EU|qZ3clNCy?Czt0exxb{)w;dVJH-aV
ziK(<a?e&lx=E`9pt_rK;&3pqg93XG>Jin}380vzJiLjR{&=-^_y>XHg=G+(wp`jx1
zU~8U4&`}kTdAr}>${07$Zd`O5auWkL7Tu&abrs0b`1nRjiWk;SWt~~|l>h_w>bb&2
zWsp-pzHc~~AGjm$WEN#g!S)fG*Z!T#Fd*6eTQ)`zK6Cz1`XL|#J?d9}O}8mSxkOp&
ztG`0<?nD}GezzQi_9gc}o=}FfHfMFiLWN<AZFd6GTX{$feC&N)Nd*>%x}sv#M4+zu
zXy*evMX(ljR5lAyf&3<B`L20U&~N8CIy$Tb3a?~>ITlsGcXC0+a$Fo>cl~>nToo|7
z)A(g1TNS(t0y=p4q@YLPL-*xyHTe8@#53oz8vMB}oVB)NBaF8})z~o#?0j^q_(rxm
zT-%*^kE==+zHQn5?eq~1*koDSe~OC=N%bQ47b)_<|LvT==m{DKvV3!OF4cgbW5cW0
zE-64uRp{P(rgWHdP1hKIL4y?ZW?7k1gs<B>EDDSnpr_3HX?-jmoI9+e`uvn3>cL|D
z2t^wPn_^Q01{qNMXRh<+s0vh=`AT=Q>Oj0lC1vAT9eBa2>{B102Hx{SCQo1LfQnpD
zkhlIn|Mlo1z6`6wj<yJ&LzcP_{zT02h=Kulmbf?=xl-Z$UWK~XH+A9V>o+p{bd4aJ
zkL#dyo(6Qi_iC0)(FLOnT5_eQ34|~wI8d84L6v~`jvcyCY5a3>>)lP@uQ)<^(Le)n
z<wsi{J=cMG@oaJ5uLO85E)Pgt(E|DF!yDRA8(zm1RS3)je25+FYG2WU`MEa}!9oB2
zLXb$Q=Y%<&{WQ`rDL@C)feYNspS2*=#IZf_qXoFIx$v8hXn{_mkos+14Tybd^UFBM
z61-zo^?v=!LE#&t8P^@ufF@G=O@Gl6Zbg?}$&8}GRfC_dP1Z_a!Ts*=@>VMl`tIVn
z+f@_%vip2`tmMFfF!{E{-wI?O1-p$7Q9*7`ldx@%IJ|kdVPnA|D>%tiF_vpZ0oiv3
zZI7FTz--X2sae+wBJO!z5&d_6$=g3A*9&mM$w+<2+&)Y2-EkC_uc$!v&x|$~$9Y2c
z{CvdOFiW7_z8e{tpajnIMMF_@KM46B%FGrVmJkpc<99Jx0YX|7pYad<CecdwylIpL
z#C4y0sGcPUqFkjx<fmzJ%xG{tX3-q%Y0SrWMr{O2U(S)wKUc`E_tLHE$IW4S+T!`c
zK?$g;Z_jzWnFVWi&&F{L{PWzIOG6MP3WxFpa>TRPFe7`=M9CB24o^?!psO$_GsOyp
z=yPED=~cDUBmuD=lksVOf*^guBra8z6Nlv2Jso{-26av+a<+%9gL<>|)=g=gctUzy
zPQP^%upN{#<xA&)cD|<@TVHXa%<i&BR<ous_MNS%QJ)1?eFkeL?{Z>O$NIX`jiw;S
z)OAoUY?;^^wfgYXE>1k0<kdUxU;++$X7nES86t3sXV`t70|!Ou6`nE1kS<VC?8Z7q
zT;@K!xR}6!$uSi}R&_?ueZMPp?Ljwj>2THJ2^|j1Xo)mf6*Yoz7oA-t(_aYg@#n>d
zI@xjcUdQ5`uOTowFs$vjB#=Q=fo+G=*pa;)g`QR!09W;6OOcR9^3+Kqeecuk$d!<m
z^Hk0N-pAjzr3!YDmz)+`#eCUuePcu6os0U=MH5a}DeNaJj3q)1&aq?H(+&Bu6MFEe
zx4isd<p}w_<;R~ddF&`1DXGZhp$Fn@iSK@@PLkzmSrw;N*)iHUpT_lF7pM>Na)NM*
z6nHlA{LpC*T(^^u6#B>OAKogli#oI9^}W$UF9bQUV`P*4+GicOy4P`O{OUZpo9<n8
zwviK0$KMUAa?*i9v<;E?zDO3x1n9je<H8A5bw$TEZCJ@YQgK0Kg*=<%DUkJn8*@uk
zPd@R{29ZxOl{Z}0NSy=3x|B5@6jRo6>|0;}b70Y`=ocnDU?Y26(Tf+`;+TK&-DJS|
z*m>rGWoG<)At#Y%k`K=nRVv$RGGJ%Zj=wf~tf)eHlf37t045s!FsiDj19$L|dzqnZ
z7~=e+oK`Q0Um62KivM}8MOn~8r)G9^iKu<}wL=J<Ul%$0D$rr~o}RHJYfiM?FXtW3
zBaC}+()LuI78u(%e9r&Oh1HHBsV{bHK=X#l3z{3Xpi9*5R>KJ%{8O(iv!PrB@AThd
zV@sn!$;{UyhI+iXvtD}Dgb+iQ+8xad+CMM0i~Oo6#gCyv^}enB;&^J;&^k(kCNyO=
zclrnmqT$%fir7L)v@TYs-;dM;C*7^N6#z;=wZED|*fFucwf?>|K043Oe`AX#bhx)3
zR6ejCzkB?bKm1$<8LfON*6Nz@tajFsku8jm$~eFD2gzYY&~oG<c}+0eRvzQRDT2vg
zmiGqa$)o#$zhz^3njqV2YVs#i6lu$IlSjrC&^3;4*!HL<w5V~s<(CvkuYHF}gUw2K
z_xG_BlQ){+vN*bM@3RE%B=%3F7AWKIfIov{<}{$QJ2CU8NujnWpY%<2RlLFa20KP+
z(B_uH>Ud@2zqw27lX#|vf;*0SR@Z2OKN*&qlPHVDw*+%}Hc{|!2sv8jPlx8cOdRIF
z<d9>f>{i=nDhlx3Z`&rqfUV@rZRtgM<Xf~b_TQ_C0@tT6+Wcfd(5s%SQ}T+)*y)@;
z(@H~+s)T&cH`);XLCQzONeP=DXjqTQ(b2b3=4@H54zwJKR$h)$#(MM99%FCl$W46P
zdTLG=)(W`TjZ0N<l3lez)}DcFo2M5-t@I(~L@oEpZdHu1841*U&cJ@PZg-Ue1Gv#4
z6Y0UCjyGsa1$na!{33ZOd{EB_K5o^knCGWp5R2l0+uYhXK$AU7Z!m_}le$WGnW(r<
zu#jLGWT5qd+=jh@rXU`Fz22{Zip9KFOkQ4N;Nbm7q5WcJkWl+Nx;#(=pYO5XGCxnp
zVYUMie+meA{iuH-v|j_8X1;s(QRpZxd}5_P8K98I+_hI;6B|eBW-7PS&}28Co#bY7
zxTjU$^Z8%Bi~8T2cVkrS(Wp&~Xg7x>o4if5UJbmOZgf_6vpO;usPlNY1uR)oIkz3r
zK(CX2HzZG};0t1}Yeta;++nmnt}mwIw;qEZM$w9BZ*KiSX4C?9yu3AX`6C6Hn~c`J
zr^_M3C^+ys=Rbc;ann(Is*WOk-<wY6N@2+ZywS~S34$37FN^%tP)(-S!Z$z^likxw
zb^9z}?wD%gBCjg;D(H=$eIkU9eMT&NpIJazTiUEZvNEnK%Nu_GhX>D5y4zlQTYzBi
zy0AB*N;pF?U;dcJil16{KKBu@fd3MUtW9nz;8fZ&tL@k#$s-x~$o+{q1gzeTDdCq#
zX+??rXY~{0GnOG8Nh@=B)lJL2N0G&ztUCElpWh_4-C8EB89-X%K|PbRG;(Mu-Q=}+
zOCB(u5N`JdXd@0=>tskE`dX*42frcS>c?g-j1pkm!?vYRObn}wl~Qh(H4|imeTkzW
z0h^RkbonYa;K#<NB?HepiG5RV|BKN#gGyEh9o=i|(XgB?AULX<u>Bvkw9a!AMDKhx
z{ya_)X)Pk$F~vPZyrzZI$9PlV34bKCA&d`iR-9aa^;HiM#w@7U_{jvgRwPXB8}Xnt
zzuBGFJ>5jt*<D*!IZVJtC_qcdo)gQb_UATw{U$0;3g>OwVhj@Rt;S;u*wF98qrX2J
zJBa*`<A)C=7=iuoOyg`%7Tj=&?N60K8{zh9;)hYUAry-r<S5?5gkciOPI=njiAvc(
z?{IxXD0ktx+@`!j20LWUvv)NRVrp-bX098+ysiGOtpbarnopu7ui`r*E;>`reM}!B
zh0cfIp*iyU&N=qhS0zL|E#OI{lRj)xe;M8+HABj=w$=EbI7l8_%}Ah@>p|I=x4~D+
z6nUxfv(2Zw&q>QI{9F`eJ@~ABe%pu3lcdb)LBU+fcVxZCyU`s<x<FbKc3;z+Af@*^
z>T+r~kUctuXTrI4!TIP!QJUfy={N4Ju79nGWaxzzT#e9y!?9;X*ba=45*|;@j|8-m
zZNf_e`&P7J{Q;|-_p5(MCff^d1U7e&EhkFZ>qE7{zj}6W$I=iPVOJn|GwwHeRw5^(
zc8vkOMYhND?T1LwcwJiGN)LH2J<QfLngKFfP1pAi4U$}sq7{VC_LEVwrXf6n3^;jF
z|8m&pLDDbI^OgY95ZNkQTcB`{4*N&sW^Vo+Bt>hEN2;X{lj3Cs5U5FqkY>`(Y1a^0
zv#D=%ZSNTAk-qCyON15}xL+R}|2stbt7;kA+?yc%nZ<3Gp3xxazU0n?Pk%^%#TlFH
z3V+GA<`8G=ZcQk;b5zQ@Wte2*Sy-=EHASi`hM!85(u5w_s7(VhqhxnuORnAd8FGzB
zow;+b227?souZ_TkuA!yva<W;$g+(WNvZo(C{!qCe@C4lOYfh2;po0VdWQb*;pSlq
zB%FA*FGFRLG!L++evVrr=~<_1yiF<arNwTDV*ZyLJ<{3sdu)XiY?HWuF+m+}Ts`o{
z^86GT^pxKx(}D@_^7^>GoKS<BxgTPT_G$9aS%Z9$d}b`WlAEXEtOl8{Dy#1uoF$Wq
z<G1AvSaB<l*Th1lD#U#n?6@a9Pj;lSv>X{=LpS55;y{`zyr^>3DV|s$m4!kgyO0A9
zzgw&B&r*SiJ4fQat}c<q3N**hAGmPg@~g2||9ovs$SUiI#VXnPNYC&a(>iq1T|5%<
zSQ&mi*jcRY!Gx{;cZR2r^Pz=p9^<32GKB5s)0QTg@vfN8r&@kNydrq;!0~TN&_s>|
zP5>)bTcn*aj~2q#n(mT-GfLobC}REGARFfAIJAz*3!~PX*rWv|B~a>^YOi|9f$>6S
z4(t0i;2FPbAyHk5aIa3(O7kTbTFIL6^L-OV`42J%jd_Z2IkhwI!0^Ak(Xx}%Wn3ID
zxc_2hjaG#0AD_OFJNU3O{KnehO;Y$nY~AIoQ;HCnnkh0nEr2drxy>oK5hY~mAHF@O
z2p9aLCypEw!aQT|6izcaj14Y$yO691Nk7%>GgjB*O4XS{M!7sHSPV|YG%Lc{Z)}P;
zOE;kHRO_qq9g5i9N4*qapahx&9TIU#qR1*Y=d{G5j9>UAjvcR3f>(nZjuqV#$MX&J
z%Mrg-FnJ-TN-abg@;X07mwb`L_Xm2M%bV12zeB<UUOyGMU1nrfsI?I}jtWR6{HCD(
z{OQO&cU2*jwiq<<QWo_WTYn0(YT~Xh+U(;S)PdH2eYwz39>uRIZfj*|Axl|P6I&+*
zs#>fA9C8$}rQc{<T_GLk#wyMivTDLe-n%_(>Pl$oQOCaX9RuH|FbV4a^T5{KGXjP$
zmGMv&lSF-uHpa&^?qe}yz=K{o|L{&#Y!^FvFyn;|u76uqK#pibNAQKs&J${w{$T@C
zK)5cJpI`4{+NcY6l6EgOM^i9q*y&Qt20f&7>;0`6&<ASRJ&zS$4SeDoDpT#Nhss_R
zpZnB|pk%nNG53rna_-JOn&YpBm{)F}b=d@%9*j9$Dy3m>*XVwBDLp*95aN<Ky9vhY
zHznh1Egbe_)yVhO#Y6dfqX{j5*qhYUWuT*1q>;3cqYfV0QW|i>*&I$+kNq+VrlZZ9
z2T{j=F)(-^U-dqB3n-%8V7nhp$F^7ci<07W49YAcldUY_(~H3T`v>VLf5LzD096Ce
z?YST3wPXo9qGQ8H1?iYKGaj7SqKdqU*4j*AR^T7z;V37sg&!uIc*c$>BB!R@+L;<F
zP~oww5BaQ#G+Lb66ImJjFHko2QnwXMIY*ASYipqIMVW_t2SrepdFGdFtrZ;o82>HB
zoq|P!?=)Zj<i(m(qdb0Btl&=xM5rHBLuID+OB=k`NG*3a?kcJk{M2XLIAgDZx0+>r
z1ZV#7+V_BAN{J=hw@IElNL4~dnf;E`_5b*&ap}SrO-snEo#j<sr+}jOX!7Cv=83yP
zr*x#!EI`TV>BHPnS>&J1*n4(_8E#&gJ@$jg0#eSmZo4ung+EyevWE;gprn4Fjw8q%
z)C#HlY!t+CMpD7`rUN&~H4XTj90afwViVIz+<<aBr0rdN)`23n33lxVh)_!1Z(#c`
z$EcK_jV|K_+q3QtcZvx3KL7v#|NjhEcRbZy7`HcFdt9=vy{>g_=P^=}tjt74MtYG^
zv{Y6kqZE-y6e1x~;{GTrTS~T!jO--Ic>VvJ^ZB0VdCqr)Na*?1TxY>pof&4(c~&?t
z&+T`pN+0_D1i8O#(qUst4t<kvS>f${@?cMs9=u8v|MY2{5>tKsx`y<c6;zID{_B|3
zg&g74aHHWZavj;=#PnrW$f&g=-el2*3JKdOy|-&*dA%)G9Vu4$RBiT|2XsJ@?dX$|
zp&w+Q133HHW)|46en)zFRU2w{IHq2ve<p_#y{td_u>f&bd@AIl7Nna`DYzTHL~SO|
zs3U|}fQbrvia50(qtbpy<NY^8#jDPQrkUaR_rb>JXEkAttEB5q%QRxA!&S(%GDD|u
zdj4>W24wa9u?#j{LWPINNMAdcAx2PaxK}{~PP~t+9;W<-J{m}FmuxVDW?68X>_ZZq
zHY=-kO4vY(r5LZS2@7P6P4_-zB7x_0CH<4nf6*20UUUCC7P!DZVKI9{9R$8Q9NC=S
zMwh)Vzid6t3hwf|z01355bzM<lDqfN(r{u)sv;X?dz~nHctZ{97%r5zT2R6W4};aF
z^a1#Eow8?yQ4QFQHMa#zsi2-!a3(<-2bFWCrVVMT@QB(aB8Zs=@C~A0dHQe=LAf#R
zB&P}rEXqR}zO-P?rJvi7#ts&-q0X%zRlqSsPM@=r4ys?RJ~j*C0JAbN8huX{FmLe?
zWY=SWEVIRm8)rFTPPi;_lTig!T2z-4-Z4UxZ{Gpa%UocS^vT1tN*P>l_7s>MWrkNZ
zlo@HyxncEcyz)I?Wx&0vi2t$70#zZZ6oD%|;7oV9^B6%HqSL#XdtS0Zg;AmKpdBBK
z#Ra)i&k%u0%|Ki65Dv81j`@8X;)gER+SktIMCkk7;yG-{4qzPJ>v$ax(k!iQ{INt3
z$EP3uYsCS(r#~f09TI~09A8I%FCt96Rz9~8%n2efTk@T<!oYZdL(R#O2+Qr)ugev2
zK|q_%RV-Zug1Y5BcT9+2bZW1-^EWpTx^*93E*6FLwR7=@&4}>B^V;s5Juh7GEM^kz
z76W?HtkM$~A|$lWg_-y8L4W-q)<H#p@;i({_iqwG>yn<|Rd)eU89jE1$4COYn}%&W
ztBLSB^<D8JW<e1C(cd(aC<)4$uG6g4${^_UCDFQF2$sa`PJ2vBLG6Ywr?`hQg!woo
z7C#k+NLyw9_qsB`Xg_>-U{D#nHa7Tnn?>MU3iT202eJUQ+`-@dR6xDx36o>9C{S94
z#JkVQLGHM9X$7w;+%||^!*_~-(#4uu2PFkKF9TyfW2!LJZASBBKpZl{*>(L~6@h~G
z*5!l`YM^H1>Q^>HfMnAc*{J{}z+0xR&3sUYFZb^gTYpKw=vLtfn;a1|x1;ipj*;LV
zXG&1>Ur9LH<FI!=k_ds0rytmGYQkf^>yW)J1)1H0oi}Rs`zu~SXY8y6?!qEQm7~%?
z%Kr^iokVC2W#^xItqljg!yhx2%RuYm_pZn)BG_vQIYsj50)4gRTCk5Sv`f6}96V2i
zm26DpV7MNr{Qb$b@=q4NY)Ivc?I^+bKsD!*&-(BuHtX;oFFE+R61x}mP7w?rBpF(=
z0no>myco@sgXW|cxJ*$6p#8VetD6r%;V*SUxm*qw)bFb2>B_;6zsjY0vIc+;p;rEv
zAP2+0;&EgAGSDy)bG-1O0Z1kYwr;7(fy*zstkh4E&_Yi+*t22)%fm|n<u7DG>X{uy
zhZ_OXZ@%tVQ8a|j9n*E&bs5mCJAP+qO%zxUdB#Ur8N!jq*0u+nGT=QmZ?PaO4DV@k
zHBwF*Lf_k37uy5U&{Wl&%XU`)zF(RW(LQbn?8gZ<21}Aqadjm0jV%up7%vIY$s6wX
zlW!~djRai!PN+YBl>;2}$`gP6F#t-jm*xk82(U2b=yytn4P36qS1DE+06}4+VvZmV
z<J@XKRloq5_ohYry$nE{`CXOSS5c6+7dg^^sNuXudC=zr2GG0sv8DdD2$V(AeGb>!
zMUSPbKD;gmNZ$;TrA|Ev+D4vziAjIZdcD@^0xN*w@CVzNj35N5Sf2NET0{9HA*uOc
z1RcVBUrR^%LAR{FwPIue+50`XMahj|GW@!?)Ei#7M%ZIfHk?5`9$d~<=K4?{lH<r$
z#SQ<>W#7uYGl_P8G!P!#(gUs8M>)(RoDhvA=bt$L9W~*LyWceFg8#G6$KJ_v!1ihA
zPJA|weqVii=?jA{2-bdc9nQnSMDoi&GRxzr=kq&W4+|X#V6}S86~_hx8#MzH+!N@`
zfM4K~3~hMqTaj7A#R3`8)hsMalSuo4qD#rV7F4hJpHiG-1Y4amm$t2cpgdd3hqsXy
za5S=>y+p+TH?JC-pOBhE%6A)5lpktBIu8XyfHNHg7A^7-Pb{F+M*PI>KN?_T(JRxk
zMgv?!*V3F?mQe)L->)~FG(g+xYlvk%^}Y_Qb$_T?MK<5ZZ|~HTAeV0S*1r!_kXz#E
z+g1Dvk^RfICKX7~@-(sR?*=8fdU`xzsr-!y8^0_>9;<^d?=$`;J4&eEiy40V`44(E
zpw^Jhp$>O{#zzy!DPWfc@|+mA(0{5~c$?d5aOA(}aF1jP$S-QDin8BEOE=!|DKV%4
zbp!Tb#*+eydi?NJ*e+tSep4wQrwW4BR6}_uDS#=|wS+&90&1%+UomA<g(&tvHWNV<
z@QBkicw>_i*4hHcW7AY1w85&@xR3(mq;^lLyHUfa9ew#SK?Tg3-ukxhP{6@V`TH(o
zG%!|UTb8)5BV47q^}PX<uy~`NP3r<3&@r2tgdbCetru>|^m~+$RaREjB+UR8Nxq(K
zKZtND{D+DE3o7tUyfJC8#Rz&0%sGY8L^xTqX?8M{8sru}2H}^O!N(%)vY`wSeySUL
zoIgba&sK*y{?fC78V!CX`>7JV{B}e#+mjZCo?G7=kibE*<I)qAJw>Rz({oucfey@G
z=X4afutUrA!PNOPiqLsk^QZS0dRV#bbs_Q<2eh-wucd!efH%aNG$TVscz7a3GgXKS
z4xJQq({xY(`x^z1%KDffEP2$My?`6qd}+@7nwE#R?*8YN6Ip<JVYWccniu9qk7me4
z%7fzB!nXmzY_P-KL{d7q|8J0E#SLY7@Rn?m_BF&oT31~MKN}w8owmhB*W^IEeI<3l
zogH)(NnB&%LNN3>*x*vD9AtZp4;Me;fDHatSz$L}(4=8aoqMy-YcdrLT&tWwdG2sv
z^rQ&nT)kc>Rxbxmw0P5-ZrsrFtuaJEP7HLi_+H1%%E48J1#!|c4_tI`cq<nx4$tG3
z3xDk6Ipb}5M?aGftkpCv=>8C(&hw;Z)Dw9KIT`iT*-HT2KbT(D4VQ%S%p3z2T?Jse
z_vp%`r64$cA6g1#mWEX$=apDGMc6RBYn<$K5FSeV4J#DMK;mh;w?L-^bL;DI3I-xj
zv*v=kZ7Bx<7ORn_B1F(>;qVmk5QVq8qX%%C@({{)<C^UV5lWPgCq<@+LE_xYihy)Q
zc%c*>dhfk5BsobB?Y8dg-Sc-}%Q=Z~GjC9*ldJ-P@tDqOMhPf$TWYmyCxTu)D=o#W
zDl~4$;%=BpLf4y|S&jf@@N^@b`>Uo7&J@EOYPY4}#s}J4yz9!4V|B%YGM@yG1IBU<
z8l+)1&Nf=kMg?B!6fuUWX+r%s{_?On891E;rE*a!;C*L8@b-unTnY0&F}NuUUDkY;
z$|F>O&S3r}Te=REwpgl7&B(zg*$nRyqyirCO1MNvJ;+yVZP+T2ho5~+e+BB5fhfaK
zoxjhYZjp`SONI(Cao+F91eG%6>8UK*xdL=WEWb$2RsgSi31UPBB6M-79JLoW0QF{n
ztCMvKuuwdlU|FiL|1QbXhTR4r8kNS}o2dXasnu!;8?x|u>4JXjX+tn9EVri9P=L0H
zua4S#QV?0(%gx(u2!}n6rM*azho)q?`N(Mk3>KeItr0YWiVQtw+E;R59;D97)+7q{
zFGYHYCPt9F*QAh|E(>)1?wf2Eg}^tkRGZ<r5s0WgIh}4J19_uF7VEdX;K4erV5MOM
z=cm~ngXX26)U&^(CzJ#3--|mgMP~%GkM0LkcuVf{WvkeiSY|l$p|MttYzP93Lt}KG
z2~a%Fr5Nu@4bMckBlNuup{h|ls!T&1PUfl+e=lt!c7_%C7Aiwv>dif<ktGV1VvEjv
zoIjE3*(ZB__YHt^P>q<)Bm#ss_FpyeJt!^t%}nEd-;Q|*I#@6ZfkS7@f989QWY6%6
zOBSU7Sp)tSaS{T6`4DZy(Kwkk<AX_*Hb8SPgSXdNUT7iMeYM`5A-mgDM>pL;z}p_<
zt~|;Gd@Q7AZu*Pl)s_4ovqk!lm1H|?70CgVBPUw*bXLfjO0It74n0W2v*EIwa4=Yr
z>XE{*N=_A_`^WG{7ZNMB-kR>`B2od*=uP!ivf`vyJ6=i`K0P;Xqts@E&}n75h`ALq
zUNq?dor?~*;Wl;-GSUHe61m;$&<Z(LFVygPrZ)6dj4e7TQG-mV56QG;iM*VlwbwAF
z1<mnz<JM;sAfaWg@uq5l?07o!B%7=jd_pffOnSFbm{tg0Cv2Xa=W}CQ^O7cvYCCl^
zjBg?t{sXP*QnTb8`PSLBE)B5#yKSR*_BU$IHsws{pC)Jf+}~Z6)qu}yN#W-`*ASEU
z+Tr%JN%Eucx%#<y5{M0o6dT1Xqio0f!o;BO<nlCa_MByP*m$2h6TdN!>|(!WYz&T)
zm1kL`2OQLaix>4d($1j2Ch7*~@k8XAybdk5CN)@l$@Xw7dlD5C8A+5C_LGG;8~YhG
z)j+`9GsUxV9NF!0vH8aIk+0_k8x@wQ!qihzf$zCt)MQ(%xL(>r{`PdUo?l88<{Rg4
z>dJgW+EgE3(wTIU4OexyHS<)!>(NHw^ILsLYB{ygysDLq$>yA&+1IrJRzv(qNDuNo
zE65!BtdY!dk9Ci}P#IcI%;lR^b|B;87S$l;26C?))1?TaGHf6HWovHTie_(pb^cjV
zOMb^g>!P;rmtzSQWmZoc(Z^D{$BC@f<dv$-I5txv6dz!WZcJ=IgSCCFY-|-|&1;n$
zOBG5`HS}(ZZHJ70FjepQ8kCR&H1&o`hZJE*+?IxgT!W%no9?oE=92~VCapCY6`=+f
zW%$Xk8YScY<9|hdL=J5bU3J;#XDa2zPj=@j(ZnKmVuEBc85_qx*bb2gvP`Mdl6VFB
zbav+3{B{soL?G?#&wbx47PRo=f^8XEm*L-adUpZ&*cCL<?ej-{i#soFyc8{TM0*Vv
zCn76igpi!REXaK7AE9b1K?MIn{VU$-D8PYxQT?_IT;Mu)$oWJu+WeLjkr<PM7NdGz
z(T+$%G2)?_^?8B*7^nX!eUpcZ1bn`Rt4hP4KC@l?-y*cvL#Nz2P_Uny&%X{zl!A?8
z^jOYj5%MAj{_)%`M#G&aZuTrng2KmZ6F*PAKxdbukK!|5p*{%>t1v4`kiqLF&5IVJ
zEI)?Omo4S!baX52(YF$im#cp99V$U%S;`!}2P#pAL6fztgalCaJg*IS{Sws$Q6BUN
zdxLQHxYs+W1n@i>4#DUZV&WY)wq<&UBnjSU3mFJ-u|UeN%c2a~T8)SIcDzRy@{2EW
zUKa<us*8B5gmOfC?pdBw8yRuj{*Wp5PYi4-Uo}*3R3Ot+gJY}F^=P$<-MTJZ48)3T
zu3Sy2L^C;So>z~3K&^}Kx;p=f!YPZm(l*yO$gB9ozaafaB!8@wO7F&g4$S{98GGg}
zqJ_{So^H*kr@t&^jZqXLs2syBpVy!cck39>npWi696d5{Uj#x-?Mm;+)*+TFyVHU;
z?TFLkD)lHq1c<n|Y&DlK)b2!kZ$haH8E5!>`0}4H$OP8ZCDS*cfGK+G8TlU6l9{VL
zn0636MdTDa$RE(5g=C3^g<fQn8)cW*ECfLg+Z0>R8_{tI)2_|oKJ?F-sv5T=2<!L%
zQK>XGBTwDBl6zGB$Z?MFbw@)G8WZj3l!QK^aLXIC6CMMo{HvPeu`oOcocmAJwW=LG
zS<1auLqCk9n^Y}EYXv~E>bBEzS{IV1Z)hX`9!1d^=6(+u1fW7y=Ht3&56aF?an-<o
zN6q?)PG=nWLH|)-T%PP_G|om!crrJE{&U)pRVd+uEc@#*%wk`Vb^wE-&(A4To6nFr
zM#l%U)kF6`TJGZ$XQm61oIy`SrD_At@Iw3(3SExc0hHs&Z)y8v4qZ0S{qUuQ2T~qu
zGq3$OjOe~Uusr9nfJ9{v?;TL)f!r}sYZbpS#FMfkwGgt5;;k|S36HrUc3DoU(d9b|
zWtqT51gs*-nu(VpIBqx=X?fR4V-k6kb`C7s{zB!%ZoF_T7gz<ltu`A^Bct5l(hI@A
zQBn;1-XUr(zzl!;2;G@MZ(A-|T<H9Rf()9)+M_rj@tZkOn0FpI@GM-X@!vusB~OXl
z%$$HLVOw{cUqD*lKWi~K?I7b<yN9(Na==!HeeNUr6{OGlyx^HR1!%X0mC`71fL3Y@
zXL9o@YA$SQ>ky&>!`u_oG%f6)b;f+w;N35z?>-tiBSr&M-`h^J`LTnow4!0u^l!v>
zG4RNyI~`2DF7Q$0WrvV%57lmqO|;ODte;OYfKz>XSak;ugj$_9Z7Ket`HoPDqovI7
zPzBd)my83k1pf-wy&Xh#rYUgg6C3Cx45lA+!@*QWFOO#t1$3y72NOluVaxcreBr)7
zK68!AKRcQVTK>$Zrm=8>@u?9B6-^w_`}5JJJfMMzW9hryO5AX->Fb5}hj73+aQP$q
zBpoc4jxpLL@q$KM$T$5!9L%jnHC;W=2<%0noKwX8ebNl*`&Nqs*|j#^@*^y89WPPp
zDj)>9b?-^+BzCYV3yPx&JOHWbLeD=-@B8XsB8Lu6utNf2@qOAwcF=u6$dFnRg}#Ia
zO^pr?_#tU(#P7`sqL6exdrTbG{;tg~&~QO>L+oH;Jomn@7nbJSlYqzayR6X<xncWX
zSLXL=UKml^CcBzT!-Y-$`xcLRA#vG8{OJ_|=p`^Q&$h~f>uO`^jEn$eVlH><tc1W)
zO#k}wc?Ia*VGuiNCj=bbMO`tfB2d2@95*dYgaT@fHjA8nygx%_yhcSqSHH$)JyjXx
z4j%O}p%I79wu0K=0&!Sv4Ldo6Qw4!w&or+Y3GiqXdCid|0hPiLwuW(Puzl_&ldq!;
zblb@0q}`E%AIo_*hgQ@<cX;_;injvL&5sK;J(7X-w^nQ_Y8t?L{Z2m@t1^TN&W+md
z>xmbk!>0mig3p<9t>@LMz^LqI_#9J!3ynECMO&J{*B+Eq_=*IU>0kckR4IX71ONP@
znHD%p7JKE-Xu(<aTOT<vB9#8=oID_?1sWsFr8bB4;EX`^v4}`zcyiLnb<05$CP>XR
zhaCXeeeHC01yq1$>re6bza;2d-=qlJHGt)w0{+Hu6(Hnac$Y<`4l+2}0ks=O@Xfv5
z>*+%kNLD=8W*w~p!3{eNTJ6R#uE=Y5FGK~RLi0*FjFf=SB57!?^APZsWVhKcs(`|<
z1(AkQ1~Pwoo!`4=0>?T8d>5URA+`0#-M^2;ppZzo{&2tqT6+G*IR_G9=i|-BThn|{
zuCG*debNN#f?oXae69%P1+^k)n3=(TCW|8Kxe1g6e!(@0%0qE~wch33pJ>NgZB<Fl
z1Y|j<UvBxx>>E**Z#2`t$TwcJ%v(G>1n#eNEhX<u!U7|^*5n&{ERZ|rPXDwqyuVRU
z{Gmo1j&+?=;m~KtlK7-EZb}-1-}sTOvLz8vD|PCLHs!`_*rPer&KQC2&%%qZE(*es
z`h35D3LhqWTYq}7zz|y3Oddu!@q)48xxh~f0+@W2SD*BT0YuxyzgoY`0mrgqzC8-S
zV~5KxU2?E60K3T(`Bj!Ip!9;H=_^4Hvt*{}3atdtO+Wi3Uz-Mw$HY4J2Mc0UDc`&<
zNdug=jaV=G@E3U=u?u0lB8WLq-wlbeKya_hWqfdZ7O_82&Plct#L_HU9#nYh!wQ!|
zjwEv~BJ7nNT;mbMkV|T)d7>W71~^9Lz!bTcacNnl9gqEL`mc}hNf!)FYjb)^e~}9v
zPu67Jz+;X(sue^YUC4?pnLe+xO_s)WWZXu0?2lVrTyCHaymKXfQdyzI#HbEkW?;c%
zu7?~>EcI)H<~O&<=u@=V)hqLKjz0ykKuaF(wxinMpG$XDHJAZYxZrc~%(wuSA)v;f
z)S|Von?8fHdd%1hUAv2{ivk!|+Koz63oQ_TeGTu~%8Drz4vG76;IZqywCL)XCVc&2
zHK~rnVO?X>O<R_DOzpV~**;7Y)*@H)yd>E%_9C&PeFb<-v+Sbm9ezz9)jne_ljFeb
z(Xq~QenAYw+fJ=EXu!;uSRWPwC#LaT&ywS*AZ8&u#eX401G<^^v?w^auz^9}L2Y9p
zEZZ!lOH@$<R!J16ivDq7+VkxH9oZJbPUoDt&Azgqf8E8o8ppXYUy+-!ik}W*;%GE1
z_#Fu%(@S0!f8@c6c;i{Ci-obfw!7m|cSs<9<Lf2QLSC$Cd7a(RN(7U5|F|p3mju5P
zw|g^^`LHQt;vtGJA{gQ<shd4cf{5eEgyPHmSUugn%~z*IF&DhM$budTx~U$I=J^R=
z#-0(L=D$R-`zc3r|B*;Q;~;5l=!VB`1`8w<+!n*coI_|XYm<QezaR2z&VpDGKJKrt
zv^eJVCfU9H2nh_HrFHhW2w~9+iG>U;;@Fdzy>2si5-4X@ynW$y5F1Tcz2D?Rz%-^0
zla9ucfK%bq;orf+n0@V(TM2^%_CeF#hQ68v?YGg)w4n%w8>k{D<V#@JsgM6FS|@=^
zkv~OvhY02nv!n4(R}y<Ced&&#o(6=)Oziz|5XIU^sWeXQl3393#nJ2(4am0IvR9iD
z#a<-#l@41<VZmitLpN77_VsP)nufm^=E6S2b-!5(V>r`!)YVxN9$9=C&-g8d^*X&#
ziBgcpB5v{-`}b%9^?Yjhc$hdQ^*(&3G(sA?xy?xZbbqfdUyk?o-Vn#04)guetC7a4
zMq<XEebIu@Pvx(I&k?W>I;Y;Ij7Vcisjb@I+_d3ElaG_;00Ao)J0I#lC5>HV!b_O1
zX+!@~dE=zE1h$alu+G;hja6`(Iu1tZz)I%yftN`V*h7{+m9U4>n60D7^g&)-*paxn
zJ^MuhOF8Wus%#>SEyy*7rasdJn;DmK9E&7I)nLO=+b4zTKGh~aCF(&eQuiDtN@69M
zX%y#8q%d*b0-E>bdT>acq2Js{63e?owH=YQe=hH?{yABFu&tMURc9!PnUww-nID$G
zyiPB2Ub(Li1umB&=N0$s?*=xX*`Jp%pXy7hHGM$W_}bR#C9!Ho#xZ3A0h=*fi4WID
zaQG*q?%7TWY<Gs^^^%%6M$P&2Lu)vK)APwk^dcoN`X;j_FC>PgO;_|<KSl82{uFJU
zlmsT`d&$@Nh$xm!wH7h|4#AfN0#jlw0gI~-{Ahnd1baRj?D`c$Kx57<kzzu?Vpm2A
zcRCMZLelGf<Vpk!?28P;AH}gX<@&8zCLv5XLxeRi1Hsq0F4kOaacs<+?m~<^9t$aG
zPpl6_5ah<LC|)FnnQb|#=MVB@e7)uj(OL-fAKPnYa*JVt(&U>R7x*x)3Hy!<8~RY2
z{CHa>LKNGZ2wb+*;>G@Y%F4(V>O=aF<-cFEBADk*nLuxG9*j#j?}(C(KIA$3jnwVq
zewU@7VXMxKozi(B%&?&c@|s@JakqrAlD?bT_x-sr@Bl}VdwP(5s3L|g=paV3`Sd$Y
zCnpBqDn(l4^x(GBle%ahAuR0DItQCIC#Gr!-pcj5AkiGMtLQI?6|}ZI?bzhN>bdPz
z0#4{c{Qm44qwv_9^^^rQi~}onjtIZ-LkDUCA|p#m1h7`e$I}weIIx`N0uhn0eI6e5
zKl^8nAEU3h`YNt~1H1Dqy-1Ep2R>Fh&3I|^V|FjDcepj~^WOlom0^}P)SH)iUd!gg
z_@ho<?AzkN4wNbyZ7FNRy`^glxA^(6Gi!!*YKJ*7R*(0?1N;0uzsI@qw15|*9n+_y
zFXY5}Yi!;)xobgK*JGcSW4xHn!mn5=VJ?h<t1EJ0R})rBR}Oxr<;5x{c0F+gTp0E9
zg4{okH9_#P;nwZXJebppRmTw{ZmhU-CTz@56Mpj485LLZU^gE9e6+O8jdAx&MAH1!
z0PlLH{>c|S7)CYQ;9J6j$x%DXHl=BR?5TJ(vR}_w-BJRVc`;^#VwWgW4al>vYJ&ay
z!*ZLaagKbLdL!3%4uu93N>pE}qUOa$uM{oDnDAp-_lLKx*OGvgWvM=6!i!P35JPQ^
z1hDd-O6TreCqaVYY|)iRyx9K$0096043~K{6kHgG6|!U-Gh-XeEX<6(m>Iiy36-Tq
zA*Ccsq0Q1l5}`%mLqespRU)Dgsa}yKp^%am6seGsQlW4Dea}7jo_o(dzvubY=TP42
zuBPDc3JKsi^1$6B{{&S;36Bh}k|_yPMMGX)$EXSqHpI+ci9D=?R&5=}ywlWh-~E17
z%_%Nem+80}h%2MQW?oHki#m$?pMB!j&4sp!ZtTrh#%)`EwhxI?amXyc*r1LJG951t
zFI=O7VVu8qt~aQ-{4KdvqLd4c_sWe8q$miVOqc)hq@myKCx2p!xNwnO6LJ3q1@khO
z>xwL<BgGY}HOjc~fZP9Vrd$;}e~qU5KcJ)0nL6g42V7{C8m^tqR>Oj|Gv$5z7&u$Z
zTmAhN7v3LF-&&ijj#8H|==SSr;`^RSpe^KqkVSROmt+l8_)gQjG^B}&Awo-ixjYD+
z`(~QpOvPn6mh*%REgWCa7%8@o2Vajzu?wG5@v_y%lwKPqu1`FkZdK2Nxz)_S%|0|7
zK7B8B#RwAvi{6r?R7}8Q;-N{^R~pJZxNZ=4goUai@9E2rn1IBAyjN1ubi6d%7P?cC
zjaL_To;x;a0x1m-jja|lFvQDmb5k4}>zVXC)m^4Ar7m2NoWa2Pv}3>QN7*==eRQMr
z4^tqVKPtqaXkwVU_Wqk3ZM^WJtUx^83@+3fwasR0;?VK27jypFc$_}|BY<KKUSA@7
zB;>SEclqqyBN5uT`RuHP&K-036z2x|hqN$>+8-#nOB>_HNiD(~EMVRJ^J~}jX`!>C
z>@qdJHYzN?S?fJx0WBk*+oRb`^gkK{Vqe+#Z^GVY|5;0T9~5BtI)I5%h1p%ghuN4h
zE@H6F&<g&_?8<nV#zeKO>p9M!S(q+t`^f^WV0vKT`X$9oBt{Mzs+qBHr=}~>#K9U;
zPG)ahP{zcCbJXuwb}}(8rLY9=Tf@BjpQ;x*Oq7xAP@6uXh2Ey7uIE{Nu)f0>tUSO(
z-+eRY57RU;^Jx+NS2Q1J`Dbzzt(e$Zt+CoRg@MZrEG^<1`0#VkiSl(q3+;}Q4MyVV
z$T>IWbKnOb7C2UhTu9bJ@+U4)Z9fgi&yN;776)*7?y5eZriBk00!oyFsVFDaHuRq~
z0QYI?$<~XSxT9#Vp>?M^7V7>@_##-Z^MyE=N7Tfv3D=w|-l^g+)#S;upM20e|K@go
zGy~Ul+zyMAp`guJ4E<0WA0D6AubUd8qwrTlGnS7s2Cj#rA*p=m{3<gWU`xl~w3|uk
z{ff9>i5wd0$cNQi#vCqOqTzIK$OhLK1<Y~QOLCa82J1+}d%d$%Yz{A&Em%WF*S7_D
z^MW;Of9-ok$BT;E-jdrZoJpAN6m9KeW(~PQjoZFNYhZp@T0(6Y5!e13GaBo(f?k&1
zo7-#DQAc$}t7D@)+U#)t+2CUZU#Yh?9A2V^FMrEB@3oZ2%tb4JH)#nChc+c-QC0EC
z;SuxUJ_2t1VcHZNWeMLxJTHBuQ!sHNQOWci0i|-qt_O-)f}eOp+n}imu4&gX8;c|$
z`Bj@XDa`^jC7gF&^i@Xp9q&WaBM9ia{5Hu*%>ssv<+BI!l~5^jDtIuRfR}sC^7a;)
z!&=r0ImRDFWL@-FTGLFxi=<$m?Iz|h>(U}$5TJ-sub&NYiSn4c@4D25W-}n2GN{`7
zNdY--eABXUdHj*Wr5)R723u{GhVD74fN_?&&uTx*<7Sy^cG{#VM1|Vr1};^=su0S3
zop2&P$W<-XOf-dw))NE7pJbeC@KcnOBVl>}mbVvJrf|bM#De^kjPq~zEX=w`!U#&}
zEB96t&@SrKkbXeMD;@o@Hc@2sqIA{Y*kb~%R*~vi4+ZNt9Q8Wqq<~k((hkoFa)W)Q
zGIrf7GHzR=WbdY{h$@b<>k8U<uyt^}@tvpwes3<{WI<8F9p1;5i5%s@Vz>Lh2kjJa
zn(jbgP?T{)V5~*FH4j``OtnNZ6)>Evx?@B~1uepR2&oHrko|en#UFna@Q&BsqZ=G4
z_~!5#*Nbgj7|d4;_X|_R@Ec=6<`Js+_fu2{GlvVWWisE2%qil<x1tLStJSc%bAG5~
zKNt3!@b1NBDPixA>Yq1+HP9eBH>h?47rOPuX~*rAvFDP~mp=wn%ym8m1IxJZaH8P-
zRbdr$44zJm9-^W|3(Km~lnbxiZ#e~bsi1=POTF^*G*s|4N$N4-!lCTRMvHO^-l(*Z
zEA^z~b=rC8x8Xvvm}Je?OR9MG<Yle(6b2qRlKREZg9`y*lsA1|4b4W9WUb#Z@ZG6q
zj#va2bZjri3>2#4nw;Z3wfUMDnbe{0e3c6>=BK|k-xd6SL$ki-04-cVFWOW*#07Rp
z!DW%%RNP^0@?MI`#O@{izOlMIaCNzJ&|@JDxo>t#_P=Ff>ipWkMS}PL>_lMS&Zglv
z$Ks2I$t*naq2F%V2oE^79`CI;qN7mMUxm6Qf}D4<{3^P^1a=y?@Tc17=q^>S_~RiP
zOD65EJnuDu23?J_iM|Zv{K?%*x6wx9l=_s9KBjPP#OZ0~F9s4%F3(Q5s*P7D_j^e*
zrjT@n*7`3&6AfN&Ee!jvjnB)aL%K7~pyJp$h?mmB!=Kzf#H;I|sOO27MtpPlH%(~j
z6y)X*WnV}GTL+iQnF_uAVh$xwuCWtlw9s;6^^eywI+)+!mBTo10aa3LnyV)h>zI9S
zT|2e0wj^o4sG}taMbS@-6fsfyXUXk?Ky6%JIo!Ew+7c8*7wF~=Gf_`%s(Q~`HeUB`
zw=2)Kf<K{KPDe_!P|rR#?T8^8kN#;-7%{en1+$N%9W+>YXfo^O6K@vgSv@c4L2D@d
zyl~SJ6&5P2$}0>AW8#~IvBDKrd<bdkNgA1BqR!xRWv4v?E<gQsN9!6NuDB4C^Byx%
z<z}3yo~I_Rn|!d(XPyt+%#ZO|u}q9EQ54ZJVW97m0*7o3fY=jax)10~gy7DvCuHep
z8>;3f!Ua%jjrylku7xowG12~`RGbSC-yXpS@cHfOn`)qiJrC7AKL~swgm03(LNMR=
z!FpzUjwXJms))t<s-eSBYORo9A4l5PBO8S@G2x-~FJli18r)UL-$nz7*J#_fbRz@h
z^*sW*_bTI?HL`=Qq5#^p&mPp=5d3ehedW$dMP$@F8D$ALW%}5^vviJz`OHwi^=t*S
zw-Y;Cu!j#j271`noN4G^(W~U#MncBaLgA-!eApnJG$5Hn#kRnU_o^=vQNhe7ZE=w`
z+;gtmKR>8}_PRZy{kifO*z!)AZEg*AJ$>hT&Zwi?`Imvp-2@CfA*0;!$O^JvnC|Lz
zQ^S+b4*fP>LO?ZfC)-FDE9h3=GFrt_MX{q3)v;A_7&`pPGOEiGnk{c_$QSq<;mPn3
zs;?YAJ*<Cd#?2B&o)s25FB15k&~&_-u^dM3C=L4Z(gKc82D?m=l`*ElV{-;W4%f}T
zF4On2fRB6ClEW>PkgvUr^kk_V4h>bmIXGYrb1efmH$*C8KuVs5^(HwSAS$fb8DI{#
zyWqz_rvk1b7(;Q699CO6+(?};gMGp-(qt<IbRO8}rTR+_SI@0U@`*45mc2)1XFVAe
zD0I(Ze**6F&{tkAW(GF4d6JJelX0cd^XK`a1dJ_uQIVfz3R!PTFBZy?@uXT^sztOs
z%16-_bm^Od?`u=qbRP-->#SCIrbQGmmUNljYyufS-W4vZA>oA-&}w)~#7^Pnh*>`q
zpjZ~2Rw*UnX#YF2{A(n<?7O@tPs{}B^J*!J?vU`?*`V$Eab!Hv7()#!<H4p=W&K&b
zB%GH&ewDvl0cDHj&$M{);J1fY%Pt84FH-j3cp9jP-76z9gynb;)bAIdE#Uo{3V-g%
zJ|!$^x;3BJ%7yeHv$lxqWURb%vMw=A8KwTt@Y+vuA==P8m#n0Kp>coX9zIaPPbWmF
zHfy=y<6CJ^o27uU%W7+m%u!JOk!oiEl?yGq-M6sy6j9>E*yRi-HEicjinRRVKzmq6
z8?{Rj8%czW>qY9gyTZnG<^=~b2D2V-NmRo59r^)h7E@7E+veGsdJcs3xcjE9SH|q?
z_eRdPQZdRR+HF}S2N)5(;JHKv4<yR1vrML;Hi}Q&yv2cmhtY{VH43Uu_na)=K*x%!
z(J3kSIB<h9dh?`;DyDDo6l!HLFhx_iI<1=nFV?NKif5^zg~`8Jy*~{6=NQ`)^pgXu
zE1V|vWrBVp#&A&S&=hby$LRr+3o4C%%cOT|VCS{*v3<E(*!ss{km=8bcE_7Zo@=Nm
zr5-3-A0qI|bi)Ys3NBQN&)h!sm5T2#@5>`wvhe;#ecHS<4>F}zE9^?6;UkId@vJ!(
z4!t>geC!|(bY6bR$}pkhZ*Hl%Q#l*Yp7B}w>^lz*OeKEtc|*t2@dFKU>$MS6WEMCa
zGJ&Az!~Wl68R#9?fLTM@m=P57@dUvXQs%<`(_?62zCqV8*Fy*AJT$)SzHJK7*Di$j
zHL=ewe4JRSgI&Ij)1KSRz-ka=3|+O*=u}Fm&U+mU3MrH|RyGIwsgkb#S6bLLySQic
zyAJM1Ib9RfYYw5mKO`x;Gx1SK-Bjo+9qcH!8xzX3fLhIGy0-O9jM!D?_$E^aM?Z#k
zW_Vaa%s?2YQ(18TT-&;BIyz|bVlXm}WChHP(-YyFS@>*4g;a8yHae#tBMUvYf}2v_
zi>(t`7%A1xUfadSu8yFi4&l~Ny!dxV;YAjXGy1QIj<ZmAo7Am`vV5rXFU&5@W?}iM
zZtD7vOdJp&e`l4=hqJ$QtG-9FaMhcbf`!dmST%8anXnjuO1gRL4O<pg6p8)3A@F}I
znP&`f9>6zG&F*{Om{_T8njW^6f%b<TY(+c)LiSf2J%5skIB$OUj3gbK*4`H_+XEm|
zBDvd9iis48KbP`|iq3Wyo7Ex#!sAz-w2jh2lN+83<zzK**4sz>?m>VBsi}?YUu$C8
z2A3kuGFAMy^;4(WPJsN6rIJa8g1J(3{&biMR?!X{#k&E>2|XJiMldjVQS^#YKPAkp
z>R47R;Klyb$EAciI+~VWI>kS(fQ|IQwC93;v2f4rRT+P2__Su>8I!jp6ibO;zx6&J
z7Oq|)bi|y7LI<sWn+FroJ$O!{(TxvA4<y|79-^Y~$I(Q#fjpAp9E3zaScCq0OYftx
z8c13tOU~6IV0>8l1+8EKXBA5+Q%dR>wLj#W+iE!!Esk;fF=ho%{0QooP!;R{yqGRr
zBa6vC-BsejR-oz_IluN01z#LFlo_*82A{;L3pI{dLSyq7pYNoC6LJ<;j4P#4b})6_
zdLK*hZh7@w#z+}cuj|>|@s!3R3ihXJ`Yj+eYRq(Oi4x9SyA|qUBaL^g$0i@UTfmaE
zqL*h^D58JN%bp^CY1EvJv$g6r2l1Sflc5m`cv$ZZs@6-RZ_|=<*VdXt;Lm6OvKz=)
zcChSa?kX9y96ddq)MW;}A0;<@W|DEoAE%;E60*ozplsshZU)Z}S^JXnNw{iweAx4=
zEPh<PEIs^<DU1wd?kF)K;TMNH<-*Z&*wASnWU#{&COy{O()~b0$$`61o+}VgC;49X
ztDhzyPw6I$TqEM8T>0Zp^#r^fx7VZTqzQ-xNOa{LC88dd_CJl1$I;>FD^@fUxFELd
z&jCTdvhN69B)yV|M@RleCf(z~^^5h}{zee-pzw{$eOe?GWlo<L_2xmG?q2Jg8AP;}
zE7)U3BqM)b!u5|R4{R4OVpvT?Jo`uX^D2S@-uf^%{z#BZy!4+63l@`bdCltWu2e-d
zP!chCEXc9mVR@x7UlPWM#P%Hr!F%_FCxmElVfaVyP~lS&{;<9K(Ku8YxtGT5mkbE<
zHX_eqM!=D7qa~dGDpl~+?==Mp*EqndjxMhHK*sOaSDm>psfu0Rk}0zXIWWFV$E^00
z0@lqX{HqO7!$Qlyc6zQHxN`i*_t*A{c<<xCS*OqH80Thj_6~;w-@-rCPRT3bxtYZB
z88a&09{0Yvmc{|yN0EBX-<5EgxcSx5MKnBq%4p3kB@Wc2JmfDPRz`&%1=rX1({MgF
zL?@rZfnX7*BDYT}*q8K>=u$;T)q@nb2^|h3fyEE`e-xY>*(rMEECWj}+z<0#&VjG2
zmD?h<)UftQLPUF{CRT2F;P)bg1FO5X+=|(xj=Gs5WgT0!@R*6OzGN{6oSP4kA79eI
zZ{@XZb`DHzS?T(zd`iHVb7NgD2dU`Oe!ta~&BE$F^K^e_E_h6Mr;KRPaB%rI!X;rg
zYF}?Zms-gMwcJgOn_tjy>CF2b>wDO!?ot}O!;lA8cdirGI7P>Lzq2AbXSMNXa+K4v
z8Xg$kyeYYw&%oDzpWg_#6XY%RqoezJ6WEm<y#4Vv2Kr0M=h+JK+0T;|EI)4o)j8!M
ztjn7C(IYN6&Q%vHCU+;~R+>Wk__3(E<yyG@!BSz%Yr6Q%V#P2~;6D@7dwyIW*20zz
ziOZULb#Y~0W!p!4bBL8l`to%@6UT4liYdR+#T}2lRTnE;z-ecFgUA_y=Vus%k;-)O
zPSp+lj}sPf{!DO~{dN|{KWLYGvQ8Jb+q8%rY_NoEV&eG-WT8RwBBkbL0jJCt>Fr6g
z0`(V?cBdDxG5E~Z8wOH3m|!C}wAI5Jrc~B$+s0-iNt%CUh@p*|trBfB(tKELv(#{p
zF&hi@m?3+JY<y#Wy?<#1AChJz&$QFn7<t%9@%;c3-KSQoIZy!}>Rn4-JH<lz2)pfZ
z=~~#~()?I$6F^jUSYgUF7CzZy8WU`+iFa?t#}}LcAf8M-&?n#pNyOY;rIn7pZr)k0
z*8l?DSN&($$VA6++naM<G^~HM_z0;MU^+zZfwrNbM?_uSEIFZpsxkY?%kBd_DsohP
zc}xraUkz_ewp7C-t}i7sDgm-uy`nA&JVX29)ySxF72MQ$JbQ62Kx);QWh6;WjQErv
zW9P1fd$lvayp9EUgDJkfmJF1gnbW9Qs(^Dr^I=;AoJyS8(zQ2;jy}ffJ6S78=tsV)
z{*4XrI44TW`Ya7guZGp9otMWGj2WlF_k76zb>D7X0~OEy6Pp#+BOoj2{2`ZMK3Ha6
zn;RI_z)AayI~PsL;;QrFLGhohp-M^o;5QF-JjVB2koH>|w@N1_<ojAfz^&uXuV1L*
zRnbFT7j{WusO*Q=aWAbP-0l{R1XIxKW=)8!-D2E-wYs6!(F#tr?995Xpn`EpWhPt0
zCGq~m(1)D6mavAft?7H85<U`j&lLG7firJ|j;z!Z@FJBTvb0(eH>l;gHlqaoLHmZQ
zITn!TGK7X@0xwn0VJ~Wzz-h~aaR=orp#9`gqxBC3Ie2O0@GGJu%Gqwbxgo(Ef@QZy
zmrRnd?c)6>OHw2;Grz{Bb=C}u+<tBmGAH4T#lq8FW{WZBNYpm&0W%2bOlcg-A);Zt
z(>s4z0A@g$zbT}qm~{O5VG2Jf#zyrNB37I$9rl-!#>{TT0Pp>#uy5sE&2JU**qs>r
zlWZV^Z`9mmZ~Zj^PPog_yW8YZ(Lv^1NT@72ogn?-B$&V{{wO^_M;_C*I5|o0l*8T3
zX&Wt~2`GHvr&vhH;}YSS1q?$1o^u|LX)NS{;=>Z<)Oi9L`*+2xUnq~(tq;$+S@A&h
zf!={O!TOEor^_pb<<Y=P_L{~kF61Zp&G`uS@2w0qJ=8};mp@<A_e62QG*as7fVVud
z_F|iiz!S<YMCNB}a^cS7pMOS+<njBr@x33X$oQd0=<}a04p{JlzAP0dqKK~7wq%MT
zTHx=}KgT(6z<FKWu}C70)y4*<x+&oyPeRjTI}VHn(|<Jzk&wBd(Dy)|GS;TjpWhJU
z!1HCBg8R;q@ZiRCdAAl)aDF~BdUv-m5Kb5v*R3F<?X9Wjnfq1oE&cq~&sU9MeThR!
zu%rThbH2&8n^(i+YX7eG1Y=lTUA$`KodT-*EwInX*1!zS7I?nP7_t_>abUD6qTjx|
z^I`>5yz?MpLHkx?aQptSQld!-n@azh`Nz}nxjG~0KW}5GGW{A6(5sB0=Tp74chNEL
ze!-YnurUNZVgwKTRzXW~kHVFk8JO_0a6&8I82WaM&VDvj#oGa`^&8h|V$wSY@u6a4
z82?XpZS?^)eAuq|Db_^`Ys)5A8ND}#N!pP?##42SXiqQ?Sjj~DkI8Em>I(YEo~o12
zDO8+JS^t1x$3iWGshzBN4scc+xy0_J;?GOFVr<OW*vZ_p&h;w?M4w)aZq1;ftw!GE
z5|%dZ^jn%ax04GWO26#Y@uXvTb7M=bm<|ei7N&X5aY3TEOfFcRfpY1#;k@TMc*$=A
zhj*C=((Y^it$WYF)8_5B4kYSgeT`?w7XdG_`acld3pG*x_~t98XnHsiFOy-XVhY^h
z8s%gkEi}JCCGR|=hb*<zq`(PNaMWe`caWG^^}xw^`5Qg-qLu`9b(jHt6?LfeE)(@1
zYaM$2QxCg8X>GK>V-6Yi!T|-YEFAHYSF3rghmjhrb$wSXz@W`|fkrP26(6?OzdNOe
z#eX7dq|aJ{OTE{@Qd>5*9uS^=y-+as7QH(WV+C(h-HEyxY#d7c;9_K}i|wMGLMyjf
z!|A7`QUj0K=qa=QZiKTArp2ra{KVnI7;%Zo?LjuGgl--SWNKsP9&*e3DLzP&{KzgZ
z*?79YX{=Omesi$&$W9l4ccYn&>{2!!mvYz0@@JyTY>Ty8I)LwkvW{Y3Hfk+Ul*$wM
zdsD6P>6%u6217SZ+8-AFH&-S;YR^D!@TSp(NrC78r~j`wjD@$4T+m4>rlCD8amZcF
z2Bz-#{?_Ye;%c9iIz2@yvWZeFPRiIoz&uY#O_hlURbqZ1T@A;VmF<~aWCMr%4psOF
zdYR)BtL^Q!D!5o)tn=PCfE~ld6b*rw#P)jmzsgp`rZ?eq|EB;S+<pE_%w%A0gV(&!
z5;E!$Q@vse01g++_tcltQKC1jlq*TZj@6e%ss#Pzt?Kb7*BWTZwojTqt3$xuPgGy#
z8v|&C^)Bx0qvCjOihDIp79+z{Epr6C*c=z5dRM>&=cM;}x%;H>N=8PGfd?P<7`{$b
z(o@G@jV=2tR!Snl-OM<s(HdSXAX-};RmD2DlTTaEh~vg9ywL!CYw*5)S-fpR1sBSE
zH@M|2hF*jHdq&c&AiBNh>#1;MG&0Dq>IztdpPQ|2Z2D~pR+A?b6Ua)~r&jo><fSO;
zo5!S0ZLtLB%-D<4-3oZ()$T=3S)yna6sdCQkp(zA+N}6^gN!cyrDib~MDgL>XI^Rs
z7N9W13-!1{LhFcvM$#KmRJ?aqUNqYrOye7u@au@!<j(Sa?YamLShup<7n#G?ErhnE
zU*&Pt;NJIjzZRjJNfxI^z=i8Rj!Gx3<uN4VolQ}b7_M)MY6uuJg>rqd!v~58NEUwk
z_RL*z6v};@-RNfu+x2_H6$LpSdt}!&pKb|!q}U{+HE04moL1gG*dd4KEZu$E7B9xs
z0mGHGJ|-Z0%3rkjm>hn)MkreAD}|D<tK{|w4}@*4q?_I4u);vKoYp6e-NWZf?e_8@
z?`oCdw3Qs%Tr<lM+9iwGt0<Z|^ITY?Ue_FIA%}*l_j%`2<j~!m_47w67e2Mz_?WRu
zPVg@AhE@j&xO{u^y%RcIaMhZA+PPm26<?Dde%&jN`QAbf7g{**d*PsC=`A@_{wBor
z5#&92f0J0$P7Y+tiT~~wA)w0PvMrl3NT{>^c5bu+2ez>rTQq_QIDGNY+FAjJtyd^{
zE^0Q05uc^;o8A*}LNPaao3J9zW(VdTjW&k%t0gHX1?R<ywfXZlC}DRWxhTZS7#QcQ
z+G_|zym0k{s^mju49kA{-bch3Hpq5lN;ea6iBoXcSsMx-^5~79>NbMw>Gk(3{v+Y&
zxoVj}fsY6+U)R%DVg&ndSNgo!O~#l2_NJ~lb#&3Uuzj6k1Qk!V$D@w|9^9L2wu3>%
zU&FF8FAf{Q?AtuOgg`}<NVw?!SC)nhivFs*2aJGCuYSotri3@g`<mEdbhHn$mQRj0
zf}&TC)IL-z<Azv)T8T4ooAR_%K)Mkmy^ylw&8y)1-4o3<1Wl|xJ){^|Z3N#`pET8O
zP(`aN$9~w*wJ?pfZL;Bu5q!0Czmwmjh5=`FbdH-avBs@@MZr>IkXU)0Q|F+8X7ppf
zDp#>EX;fpeUZOF0ONDC|1yj-AB2m%FkB!o_n=#vd8iP)jtFW8}4L#>-Z5D-Vqnkh5
zk#>Lseqgm%MUIX=A6mNKAJoCu(HiUKq_}X@dTZF^C>@`z3AjStrHdX<%w_fNaN%4}
zxR7fD1NpWh=;Ww}{{sL3|Njh^cR1B;7{_t!y;t@=<~hfn=RQWIAsQl7Xb26XrJ|CN
z5)oyj&=3_OH2B>j5qe3Hk&rDySy`{^`S1Sgxt{BOzMt=>vD$L*;29%W;tK4&nXZDf
znVxA!xO7lvcr56{7Gt=nSsj!Vpo+2KvTEAdI!KGVq*$zP0^`;zUplPR&}p*Rk|C&z
zmwR4ZDc3ZG8GjqLC?<8xol90Mwbw<a{EX*`x@JI6p4PtbLLI+nX9xwY%`Y*cCs@qQ
zA%8MHCd^R-wHgx+yx`Ww^+#TrlQvs`%?6u9*H#VeJZ7*jCPoKa#g5x`xmbdmsdu6f
zkg?rMuWNU$Hm;|+%<tW61tq#p)p9Xpj8(!w{u(Xh^8ac}+eL?KuKkJk3dwlYxLm^}
zS`#@JcU32^1Gwa#%W<ukjC&Vjww@Cw<JkP&X}2(d%BO-$Z8yo-JNx_!DMTHwS49uS
zw*WBZ8$C?2C!?)r54S;uD%N=JnLj1YfYCU0@^qI5GB!ldIsH~f*NH%FrVR|J_#<qn
z>!5*#^(m>HQc4)KQ)Nrr0R|lR4J!`4ua2>f&l9Tc6;N!zM%d*91KuW`9{ACwhS3p5
z8FxfvQPPDy?5r;X3Li;Eb<eBfQmM22%6lpFyyzzWd?y23HgzSrbE+cQBHF2?OdN%@
zzPziTFu<X*ci5Rn1sfhbxWP0lf~5Doq7RuEV9&u#Enrv10`8C`?{Fb3`qBT%rv~8i
z!<J;$RYgo!_0<Tj;YSXKw<kzf0HpKZe~6k_K&82xt;fhbcz^S_<Yse#(XQt1&T)A>
zz~#Hwoy>_PO+2sbI_V&P^*DFMKUtj5_TdYD%ZAs(h=OxwbYNhh$)Jo3GDI)^Ds3g<
zt{M*)kt8dq+^PB3&qW%ipN=~-`>|ks@WkBJaZ6w;GBMj<Ac=gp)~R;*F{4xbE2fin
zmN4Dx|6@>10*5LYB1#QR7*~2|ML5F(xY|<aJIlo|!%yMql`tms&<PK5oi~R@Bh43E
zf<>|8XV#UP5GGXZ3%$y+%N*3}$?ZQkiy-VbyEs+Egv>or`YFX`a6nGO|Fw-U=BnjA
zKdi)z9k&x4u1J`HQ^ds-DK{Y;PTUv!vw|6?JGveTgqi~P{(=ymn}T?{Wayw@I13tc
z@r4Hso4{i=>kmD(0%$lK=w;zY!kZgCo^?2zfO^cZxKa*3>aTm(TM)>K*VDvI57!w(
zmhg##ZsmN)mQ8)Ea+?kN7BA9`z!**&)Ub-N^Wk`EUd6Xoc1*eejb3kzKqoJwZ90q>
zom3MXzEL>QtW;Z{)7%I$w&JrY4PJa-A0__d0T(K7s~fZ-41wYK`s?)-9{lh;bCIFX
zgSIz@#Emx^Lb#1+aKb7N7O0B9Y4762L(N*koUH~hng37GLz5TTUj{t-oyCu(>m_dg
z^f3VLc4OP}3%s~pE=nlbMiB2<izuux8NlloMrRu4dC_?r$)?Iq2-n*cnI>iE!)3eL
z{o|>8$WJ;yAnhuQk!&BwCmH(iQM;4lqc=a^`^#L@6e@zQk3VcWI7Wk?oHu41cL<>C
zH4i&-nJ5bMck=8^qXG3L+m&wyf+$&L!5qLYjw*46-n!dq(9=s{&TSFI9&3}pKfV%}
zktNZ8N{|K_m(RBQMGB#eJ{!yApd=c(%|=wUQlW2wyW;XzVYFcr7mPh8jguaKi-?C*
znDM@~;7u06u?MjZwPYD=2=v>j8%l+r2NtB_q(w2a?PQzxv@BjTP|qFPPlc=643kL3
zwSC)vY1e;W<?(~GQ2&Gj6)s(7O{umL$1V@LBm1ZVe)g%8-)v6>Gv)5xMS&8ybb&2%
z!>l4wzLv)6IZ@%-w0A>V`P%)$(il7f%4mG|n#bT_DmZEHcD*exjX(E@Er7lX{zy&v
z(0qdmOrJJ+oxigVBltNFIeMyM#_!jihdxl@L#nZ5t@>JC{OBrMNmj$)i1U)FA~blN
z6RH^5Acr0!tI<1})zP_oMl&Xe1~X6S&r+-vkj4=l8Olq>n8Ji5rcoMfDD^37Qdh*-
znbHij(Zq{ibKL4r>qEn!Q;MIc5;C0_RB#W_LPPQ1x&c`O*d(Ttb#^UJWEbp@#NW`y
zZ&_c12D%JjK-A!E^rA9O`way>O4LCK|1Oc{VnayHw(U-vR6$SwSIVMibn)3zPweai
zBe47(zoOQsif=*`OW)A+P=3RxH|80`FOtrRaDy7&-&pRw`L!NqS<I!z)tEs0$d}Rj
zC+ZmEILY;cg@P6AQ|$MrOo4Y-<2|=i8hF9RwedVV1y5H;wlAxjgRZ*W;!SNb4w<Uu
zU98i?y}{AeiQX1aM;X3k_JNGnnVvQp#(KEGXg|N>t|crO{W<Bu&_rexsSB@n>SFzw
ztC10nR-jItaEwmY#N116_l~OQ;8c2-oc1p|`0F{vOH^s1=c?{wiKkj<vdu4{^2}O(
zx`+6MRBPe|rZy|S88T)ZzLIG@2Jq-rLaa}UCW`AQbw1+JK)%~fFN-%ZKu>yviDa#b
zXVyP(J-MQao7cZdB_%PyZ2H>WPJ)cboE9=Hzbm7cuK|s_jsY1PT;h7g$cT;s1zn|z
zm@qdvmNLkIp4#8Mh8s1IsYrb=z)T)f=jsIfCKwQ0pLKr7O&w+IpY~Q7tizi<afu7P
z4Cq(lIFRqGhW=j<#diit;ArXG$j&MTT-beW{T(Y+{9DHpeSkw0yR-H<jNW3v^foh|
z5-All-0swKa6u4lHY=n#x-vliTkurxxDq}SdoytOE-&6UFp*p*!T_(wNvl^-5!pC$
z$lC=t(e1izSV=Vi3qR-MfMf-H>)FLGZOw}9<?rmBP5_*z+Kk;9l0)5fGn)i7nUU{w
zPWC4W0Jn<^39Mx@nArL=UHrr{A!8L7e&sA3%F<Q0CuU1y%3c=6%F6}9!sJ}(09t`X
z-qUri&n3}&<E=1%mN~*tMTPGjhZRij{`ya^Qyho)EwtXI%@B=`N`~)mvxLzLW(M6_
zV#sm8mR_j(m#9~)SA39S0hKYLVf0K9Ea~uasxJRS$QJlFqz#&bz_sT`j+qPN^{X5W
z20ed>BdR+rC5_D?E96$|*xI}BHXk*ZI{BBlH)@!6_L><)%14}zEEPbr|LO~m`^^yi
zif=zG{WJxYO)?*L5q!9-aV|fyV3yFWVSDu+OhGNdsFKdfiyq$}$?BQR6K_?YUmeOc
z0g5X9*y0Ut3`<=sFq>Z>*56D^@#Qc9r+VihWk)XD>fc+!HnK?UR*;f&3NVIEgH}Q=
z8#$5f%xoH&ZG|YO2#2KpFoFliy<Y7I=0NIv!G{zTCbVWtcxt!Z2$<}?&9F4HBkje9
ztO8eN3=ff%*imN)&KtQN#k;ZNwl1l_7nv;hZLq)Ty{#eKzLVI0LWmt*xf6{fmq}=J
zU8V3rwE>(+VAb%MWJ6t6Dd_iSL&~`j%Hl=?h*0|eDsGkyg?{rb-k4@b>?kwqXx0Z+
zxnU6(C3dW{cKtLP$BEtZ??|ru^ughXU;5QRcHFh`OUm{Q+*r6ook*IZf!@<jCEG!E
z{GPMVS#2FJ4xBTHD~+bX=U25p%jY?eY0KCaQ+|FNiJ$s5u0n&F7nS3oMx4n0i}i7h
zkRZNpr3MAnP{ID@M}?olTzKuep0bvn5Zay}-xzn43Y$K=vL^_0W5vnu<@5W6QOU{0
zF<F`l6Ga;xERA^3^gzp(@f;C6ncIAGypaM$C0do8p}hEL_uK2AImOV!#{UFwGzI9#
zGTXAp`B1Ovs7t_Qapd--8id(XfVl#V*{%p+Rr%zBSP4nIrS0)~M3@4VKTP&EWeQ><
zf4xO(ofIxj^M4Whs0Wi3LmT983*r5gg3h+obtq7fSaac$9^kF*eLY#iSlKl0G<Z!G
zi=)@8u{-ENmJjb<-Wm~PYAjnNWym8#$j*O?ss|ho4!pa?EQUYr9~bltD_|)2E`8F|
zgJc%%Om}B-lu*xo5hJ36LVt4~hi=k?(|vF2)ZR<ro2g5M$qvdW^6JkGYJ?tSw3ZwX
zcaXw65--`MQ&jMz^$PdlpL*c!{lxOsv@|O3{P7@aN)_Lxa!mvnP#~=<w&zKq%o<k$
z+GBR9W5>7lil*xn*!y*~rZ7eh8Rm!QyDK&D=AD$-_9Y51wkyUntQ0VO)9A7)O%vDG
zm=xZKq{7P;w_Tyuia4d4bfNOT7D{rgH~UYE1_~lR4WW)o*w**C`31WUj*RX3N}ZrV
z+>b0jnM2B`LekiJ)lC;a)of#L{iF{|M>5hQE~?<BUk!f_C9QFRe!*D#lL6ER^;c-8
zuk~$l{|^Z}DVX)mx3px;5aL~?HdYj?VX@~no*nNgxP1EZ-w&$B@YC->qvCsYWKH69
zeIic9y03$ywr5S&(EV@d>IV(<sZERWv!-HeRMo+gy{53(<5-aVl8iigxruBxRJ`2x
zqilS)IowW>P>)^nlN~MzV@#q{WD8bVz5B%i;@HdTvrV-y#A3)Y{sjf6*_vMqI#|Kh
zJ8dUD-)SKSXGkBf90kprm^OTWMTb~xn=TGnZFCgU9==zgi@+Sp_An9vwPj0IZMD(c
zr;qPpy*3_gOcvpkXF%sQV%gMK8&&u2r|_p~V(di2@mrY;cyf>te0Ew3gBLU7TPPan
zVsRnAirX6QU(!fBds+*3FvW&E%v8npc3Ea87i;)9vc3LSttJLd1P$1dl<{Ix)8wA3
z))288!0a?e#;;cFv`@YYctW~YXm5r!d?N1>%<R{|re+iVBdzQ3Vaw<Po)l{+X=)^X
zy-`Qi<$4WE4GHY7d=bia-WoFXCjRuFQNtM$<=BNjVH{M+|9x$fHP{u$F8L^{q8y~G
zWN7f?_tjH{nw-|qu)~X_P^FB#?mUq?F&yY0{9n-VG6wM1Y746EQ^Ls5&_cd3W^A-?
zFD}^2fCTSnmQBkFSbW%_TJFj}qHwdvk)dUPC_k=bL3??ekh7b8vouZA>L(<o-T~ND
zeBL!AUj{4u^-ToHqlEX+rP6i^z!trRh&n@Qq;U-_DH-(=SGKL4csiu-*_|ZXD}kqO
zMev*q`ATG5@7W^0#;I<ZV=*6##V~tEw6)ghIwG^X;JfCuB|M)_G9P^*f+in-a0>n|
zCuFC6wdT|<;q!&v#+F?|_}4K0^@vw7VROYo%*M+C#Ol*VZ&C!29^KzoEl^Adt{e@&
zl4%aE*{1Y<4?dhY8o0%c_YDzrHo$0hzzjC`Cu-;9t>v55@psMLRYbN|!}1e7Gsr!c
zUK+EW6B8^Rkc)j9h$8F9CCO{P(@FZgOHPv=Gv&loTer3l!lrxjvOb%@LXMQw6DL+o
ziZ*0;u(uOp+WS{?wbu53$mQ^^G8Q~=<Bph|;SZwBg{d+6sxdgft~%th#+8*Tx{pP=
z`v~_aQk3W~BiJ1+8zMkq!eyyT5BAv%5`&6&BsF#z!FpvqN9_|UM6O?b`QNG$LX^E*
z<$i@Bup~b{n%A*J<g#6pzu`Vk{Cp`?=&oxBJ7+ID%HLTeR@m7y?IR}%8wITZMwS8e
z9qPBO&HP8KGt8@O@|`BWlx+K9C~W}WXWzKyPAw1-Zrk=IdHf|#WnMB<P1XlvE;iw~
z%L_!#^MeOOJZFif0sf0CV)}45-!6^hxIn}_*g5WdW}e9PAMh_up}`l^th+m%7YJ`Z
zqw0;1{}C-yx8p1oX>j;iMr3rt0#P;YY4>$%iMYH^JmA(-Dr}dCXK`iuM}*fuew^dJ
zN)#Up`&MdBg&N<7RP6`<h&>LO!=AHDxWlkWC+`yloVS#d_)jkqzn9*gtl7bWbw_C{
zrw&q}yUCI(H)M(Enqxk9xQ>KoER-BF69vY%vQOCMFB6>dyFYvEVMFIlpZ6D7>H*{Q
z+48qyt3>?uY~ML94%D!Xj<*Weg`Tv{7s_`t;TfUYpjVxo_?Da^X5Xv>4bMd1S<;!Y
z<wjMCR|_{XnsX-gG<3iqoFggAng#Q@u;<rbUaWc(6yz7J4QjV-y@I_-_%1i{{ta6J
zj4PS<ji1(n+1Bq>VcD$6)2qeo@lz0s=EF(54r@Ulb5P0`R(8A}=`PO)!uV?+XK3<}
zCLDNZ)>wU&0~h-~w$!{9L63x$#(lw>kVWGS>@(m(!zAWMe9mHcx-ZdSieD23>NFdd
zIC=1mhv=RFQ3-rrDL7nPMg}OXBGz&7p&v{0$fbEn+^xK|{%H^yIMt}#XG{d}RfPNT
z3f6Tft$SGQC4&sivI)6nje>aamS^$>b6G4<yJ6s>N``c4%_=*owH`oD?`vG+>8SfL
z-BXHW=<%u!m%S{4c>_mARV5Yib3mxcK~pk_do&lH;u1slJ2$#do>9U}cZIE&PLLt$
zFyEiy0&zTi>d>h@lgc=e4u{hk$RI;^A8tJ>iS0uhd5ywUQQ_Fl8a*dX_!9Dh*mh7F
z?Y@fMOHx)x`+#FpdaPP-?pM>(;UF2DXy&&5)1iUM5&v{!$FyM8vO6;Np&W`99cVb7
zsfn4+W7W6#bbuDJ=U4W51r&AKY8V-yjRtQ>k#A1u!lOVP+t3n4B$bL?EVt1`XBsK{
z5g!HK@0%}+Us1y9^fToY4hp{eY5wm#7ZqG@9u+m-u7Xa}rCyKwD5${n>65JPTE8-X
z^s(ldDqf2Jn=<v3ibB)O;vdiJ1HakkEPq~gG-&DSOZ1@OvES};J7)|aQ)JOq%tr%@
zw&#?nj?qw1+Jiqk$p{wgomYHbkug_{+*r9;AH{ASbu)7{fepJU5xsMoDEQJ|CI6&8
zdhRu3=`b;aODmhIS*5kn#cH~kzF!~jXb|6>G%aAIQfmDNF&%VB6^r@8s*i5W?-#Na
zte{9M*;BGt2RTxdP7Up&;oWp@!S(C_JN7z;#|P@-b$2G!@c=67R|?6#o&dPlYw(Nu
zP8Zo`{BL#9Dag+`q2^u5fYi#K0F{rrc<ffs+x?H$`bJITzE`KLA%A2z&oN3D9nJ}J
zr37kX__ra`5>6YqxNMh=3pyzM;?q(Nt2zpVUwGylWCMhf8l`y6Cwt?6u2_XB<9o&q
zE~l3^@D^T>5AbW_=&jC11y%(#X05f~@}CVX^BVoTKxm@Xu+~$5FDcZv-I(ZFZ3CHx
zVgg64$vD63o5KeS5&TrDP{WyG1Ge(-CS$YKe0l$m%z^+OWMZw?>)37sOf|bx4~?nf
zN0zHCJ}u0+S!>kq-kdd*Ir$6zQ&+)Zd4Kc#U4ICfB`uHH>uX%z$6RRZrG)3ZDmTAA
z-9{98^4u7eu!bW>mxczi6!6PfP4l_;Ep!D*HW4D70d{-eB#!jTqU`3H;r3Uf^sl#w
zoK86g)aHcBPObUc-=FU;r5F97FKrKJ`Enm%wTL-pE>Qvt!aR>Iub-!n<)670rUGz0
zdfj%fQc+ym?U}rAaFKp~4jgFCbZ{?yWp67ajPp#}i~U`f>DNLx?5y;)0<ZEM@o+l<
zR2WYmU+=X-4_RsE4UVz|$C0z#KU=x6*&cj8m#xs>%?*jhKed3IMsww$7Iw5Xy**WN
zeTAMePZ}n5m_y{qtgx982{ZFXxSp`B&~Fv5jz$TXLlP~)i+y^Pcx@2zx!-1)Udp}q
zM#&a40L8cV_sIW<yEo+=4tXxoXFPYw$lf#s%H}>PZ`K(i{8wfBv%p3AS1Z=0^<5@l
zqI7XgEohR6L+j!vQUB<3M+5V!bWGs#(7kW38;6O5_2N6PJYAscXNlQqM;ODu-Mapb
znZ3lA#<?!H(Rq6MF~2LyeMZnUaQlx!Y%38_d*w&(hIzWN3=h|CTO-In>69H4Swp-Y
zS+}{rZjNq{bgDWu&k)K+j*tbmBoeK`>+LIp=IC!{R#e?34B@Zm=|TqzL1&y*wXfYU
zNB6%}BKaz6tq;o?6@-8Ok1irp8X2=TZ-$*qhnDog=aaxgC;K+KYF56RZ15aiuqCe0
z@}xfaPEuIT33SulMIVJZeww3yKH>a9dYT5>-=29+>-5nNdOgwUaGs}=BbGn)1k!+}
zA9#3Hb%0)Y=+I;c{{p?@38nqi92I7gwZ54x57DjTuiclPU7&Z&O-k2>QNb)#&|@8r
z(oZYx8~?$-NI$-BvaE`S3K^r?+t@?K>Gxl}Ot#sxL_cS9ywp970z>_~;Is53{qaAs
z?Ft>s^v=^Xz8GB!G*!+sT@0O~zjW%-#Q0VE<kE0qY>Xa^%D%4s@@tyjUZz9}MkY9T
z=2Va>p$mJk*7lh1U-~n?(V@v!W|$b+a=ZVZ4s`BmPj6bBp)VSIYkS8>f~VIM?)<P^
z<D>75FQ*>P(f7-1+9@7pg`+%&J{zy`u~T^4!9KqQx_!|1>4X6`5Fh^)A={w^hiFBj
zxjPo=51#K%n!3gT$8Ci-e%9B5TTi_>qdk}D#XDU%j(TuGFel4=UXmtA-&+tooVrT?
zaksN4)`JHWpVrt*GHC*jbKmt+W@dQc`$yh5o)6ru4Vg06cz3{6aVw`23)E)I9DlSR
z0E3%HCnqO0plCSjFh>OmZoj&$Z@Ntg9=|l1Y(Jv`tZpZ%)tlKsvK!{#RSLrqmHX9h
zyc*E5V>@%$GCOQzX>R7(Eegibj*O>I)nOZZoJ3wLC!9@s-qI)}4k2oc2jHd-4G+0;
zCOWubP$EF2?XLvL>6UK!CZ!IaEIK_E`1zoTV}53VMH+k=TbrUs)qtPuc$X0@0Dn#1
zbIe)EKpw@=t^PkXP&_Bd_nK1(S{7Bp_U6gK;hKK=YYl49YEU%$H&__rj5`waA1c6m
z!DM%Xel=LVfBf$tlPCzcwUD~_m7sXtA*Cv5btn?{(7*Xy3}`l1%Yuo@&><LgwJBH~
zR4<3Kd<>I-{K!3XSyWX}YQOG~KBo@hJ(*Q<r=;NE@y8hnBWiGW-N6ZgCmJvzUN-qO
zVI9bsuP!%~X@F3wl~HLN8H}QS<K$Oa7}-ls>rB&xp;MHxoEMtVbZ)0ywY&m6=Qa|H
ziPeTL!-KUhQrfUdDNB0hkRtrv7UCZfsSDeu6?-<->p-@4XCEh_1hZ{!L7`R@*p<%y
z@!o%W@bSfsQ}L=Q&{|zmr$M7a?hs?fM4SrSj<bATO;!aTA=dXn;xv$9w~AR^`(Gtb
zifu3QtHZU$oOM!tG@uN$7&ooxL(fW}TSJ5fIP@;GUXRg-7MC4w9m))$zD?_h+zc7I
zJow`MSPfw3O&#lVX~vLj_4}B`4lQ_|(BrFTYXCM`LSvelrf|cz-REhNHne@za@V07
zK+5^d#i9yx$eYY-mMYYN^sgMd8h+`+{PXYcrUxt`%0fKncZx1-kR<PK*`N=#zm7Te
zvj7adQMXgH(}VZFvTxkpMuW2d0=yI17*Ic`#xC?k54IXO71wZ5L6?>P$CfDuxbv_y
zovF}+@A&1S;-W5$NM^Q*lv{&S@3BDYB|T_+t63x-q6P1R$O$Q)HlQOjyQ^eU7tTw6
zmv~mB4vMv7>qs3oFnzyVWs9ILWOmWD0-Kb9<0{kZJu0@)=4_EwIj9X9nc-3<lk)JJ
zxwQ2*!xpL%DC%D?XhF;J3$D~ONobp!H)0stg4MYvQLepY$gh~8zUdHx-->6Qt66Q=
z`fZ<pm7E4#J%g5i9&^CQfWq=8B{twh{iuJJp$3|9a?h7f{G%5qrF(yJvVr-DN5T`k
zRlp^Q-XHX#m;UG@Qm|{ye=BZ99r0I!1IEwXga7+Vd}SQr-|ArvO6Mhd9!D#{)>7)T
z?_VZ~tf)!x_1_q<KY)G1ppPt=QT+ZkCN2<3b>4l)oEXscCG}+Vm=t_|Qe&UU!Gu2j
zqQ2Mb0UF+EQ!6sXVZoOB&$czcxc5BdVdO@Dviw7(tT#oVwmtjk{SFeUs7E`iB+}u^
zWLGfbt>BuM)c)$PVMVfUYG`qW6*xS!%n91a3%Zs9q_Y-m7|E-AW^1t}_}}=>;Em@1
zRn1Y_=`|m@4x;XJEf%04w?*yGCK7C9QrbLZ#)ftpJr)O+%^~=ul*jbI3jJ5cu`il`
zSP??@@rqH*;r<3Bc`?t^kEe=NN8Mt@UdO#<L4IbC7&?>urEQ8{>ht)>TWwaX%s>3R
z|G6nlD~n8TDHx`Yo#H8st07@&W=nVTf(aZo^Rkwy{!ZV`S8(0gmxR^)4F1B+CLp)|
z$!VKwwe<K55p_Q~68=5+XpH@VF<c~R2+0iQ61U1t+HVc9p!PR&ZXXt7xV<B*`-f*U
zvE4n-&a;jMzjj9?oH=9!hkv|(*Us8aw7iTgK3>Cu6BFI^vHuL=KOaxg(-r+hwAWRo
zf*uy^3K$Z&Xk`dW&zy7fS4If-{-oI3QY4g2Djr~YVE`T7OS#n@69n7Ou9Z!JB(xLJ
zx8I~`00#<GZrB!25hnIuO5Tl;@Iv%wSEI-Jz<U4B37+mh1a0!g>%mA?{8V7bRG^^`
z;jiWs7yrx<6OTW3KD1@Sqc%m}InQbEKL7v#|Nj)1cRbba8^)EDy~nY~ag1Y~oa5M^
zTO`UBN{dJlA}uqCG71fqQc9_4ASx^8mJ}r+O6Io^8D&IB{QUlU{&`-n=YC!H>v><-
z6?oy)-g`@bSlN~tnrkRrn3$7uN7{HTENF3tad9oMUa1ybG1ulsyRN*>RrNGD+!)bt
zMr4t7+r~X1f6E#a&eZV;-bRB&XGw>38cQsC^n=vVhdfx&<VOyk)(7$`?NdP-Z0PcK
zv*vd#K78=v_9wXveOTRWy7{Z^D*TabU|HM7k5avmo=ek*g;nudxyM#xs90I$>_b6}
z*DZVOU8DydY1}toRj^}TnPZ0HHeqDkT}t3vqX#jxj~QD<IWeK+&0<T02)-5)ZR`)!
z1?wUM_e1eqcz-VQol&VM5;4EsAAHdP!|u10`hsil66$}D<`>6H>A|ZU+;yPE&f(1S
zG9Jvi*;DIuQUYJ628?~{)du_Ll{S`%e8@Aby6{d`3TGHX5igEvL$o?nN*)zJ4V`CC
z<33B{p53#``<1mJq0MbR?VJ$am>1aLQ6__51VVUgdZ=)%AbyTxOc+g7)chn+4jns3
z6bBwtL8mY!YMLU7NAtSxZ=6uTg^(+;u9vBB@y#Ad(<m{FXfo^<$y35tvZ7gISyafX
zcWDe85yw9>F?~uy%2<CWVCTPbDk$_Eu@*QYiBp%%DPW<B9TJ7+@RtfRq@H#sMQM~x
zO(J*XlX1`e;sgCY+F&(pEulX|Les5|9Jv}4w7KWLBVkG#vV-geO`2r!K<9&pN6OT3
z{Y{#q>JuF((Qi5s&?b*5mp{{_JT&p$fxeHtcXh$;kgCPvoFZCR4V{=+)WQ%h<EpzK
z^*|<MpSYsDGP>2xboAWSMwPPYDV3Z0z+`u;xw}yXXI+B6{@SFA8*&<SeU8!Ky0yFb
z&v;dg)GKna{HBKsZuttQ4y^^%q;dM(OEOlB45m&!*2i7^F>`M-4S?_3d)ZH16#N$b
z?R@MO8kWZnoN(=?12y$;;W;~X-0REO!TFtrmt9Lk>un4{fw4HFmZ*UinZ@GPPHQnS
zU8tF@l?gs4@83&#qKTvW4RNEXYjMA()26&*#!wvFe*8;=78XC;WN&$KEpF6ExVqZF
z6olXSQO>`l;)7*7p?;sWD3sP3!TZMyn)lH%mo8{y?xKm*l?fW&+y)o3%Pe5RLVK>1
zp@Z4?-h_%1G@L%4870gBxJWDeqjOUS_cA$tBsuA$6z7f|WlI2E5wYgp?{)C0e@ai8
zlP(TkxB3wE#1d4rbJHBkbui~|`uovbD!TqX#dc`pI$-q{)CKL<!I<?MM^%b7@FALw
zs=r(ZhHNQY`Wm#cCtjf<;F1~&|2QD}OVSF$duodJO;hn-)^uCP0Tnc^?Xi-zwSr*X
zs~^+{wa@|FJ*A!~V0G`*M8Ag>gcdcR{JoWZn>aq5{3wl`8#_v6Y^*?|<qzq?It>i_
ztw9?P6hqs)o^L8hR<O;*qB5+8f(Lili&Inta6HVeBH+_HI6MCP&s`lg^vc~-SC`L$
z3v6R2mg3d{7vK80>lv!}?$LTp+mQtpy@H)jL17(?x@ih_Oev$lm}m9OuW{Ca$Zw>X
zVoRvb6FXD5O$jgMP-9aa+gTXxXD$qu@V919yI-z64%d9j_|;uQh&=yZ;qVS1cyhpt
zD3U=lro?+%cONmZ?RxJwcL33eJ=eyEq;Tnmv~s8QFp=Z3#;fZk0U~Rx<fx7kXeDDn
zJ-R$jjCyB1B=uT=gJSZo%0W>qJIx`nwQ+)I2@cAdS~3TjiNqt7g~IrK=uh^3)+F(=
zd}+{(Vh%Jj$BaQw0ZfS$S|IaG5ov3}_w3wk2Be;!lV(qN&|k~$^Mlq&qW?-<R!Fib
z`2BXs4G82yIqw_$Lo6nV4e_KJmpT(TqUPOg5yg&CTXl6x_Dv9jE;%CaxlJHh`kYKh
zFB@|A&IV>Q|0G`0{^(~q8$&}*W^{}EKbBoYi{h~xW5l*-4cRR@Mvz4L{eG5bp4D<j
zzk=*JLX;VwNU5D>g5+kG-t~uPSlVxG&vXb46H-@6tw|0{s1AQ%Zs9h?LQ#^6Wyc_4
zdxJT?^PwT6E<dsD*89a05$W7@va+9uG&1yJ7dC{m9+FSALq}NatJ@+}YrYZ(2KZ<u
z#~ARb{PlF4>vz^}86$<vu0BHg<GZ@|19T{Uu!%pj_8ZH?*)IIc>23m3lLgb<=`hL_
z5^&$QkM*JDH|8aMAuMNgC!O9Jz<Jp}g?TcaEboJ|;Zi-Hh>AW^#@IRo2oVnZ5}V%6
zDv{B@n-<?j+@61w3#_%Eb1dq6*8LV%qk3aH9Bw7*56AvTCDwv&%NzQh8;z`4Q}6kL
zqGsavu_GrkUebVLFHf;`?`u}K$IY)@yP62mh?Z7YI~tr~3FD^m8dh~j)&ZsNcf{yN
z%f2li^}$>J-?P*$m8@;wr5gMi8;HohDfJX@eRxKnVt=t*!tz@CW$ixodP0?1`T53I
zJ@8C+i*1GnEDwg;f$V|T#LT_lGvpQj(oa4*@Jjh6ON?KA-gdE$h}ow>iKgp9l1a*{
zcmBz&(XMipTYKw>*Qz&@qWpEBV~eHoho=XLf-cS@%}RB|_qO!sf3ItUQ8t~K=5Ub+
z_c<iSrdmf>G`Hk^>ZF2Huc1(@%`JkT*VWE5u#Pz4%bz$TM}^aVkBdCN-XrQGm^$;*
zbwp0~wPIdBEvT;Yoc|{KnAjK^ew(fOHF2(WF;~7w6QaumLnis25Md&7(@}5U5c8CG
zeM@YbF#Kp){^@)vu{;>kv`@H!IDj{PpY_lH!H9K~p99Z{xYgsq#aV9&_AHO!2Sw`O
zf7SM@Rc8ee(;Vqf-P1@c@SSKj5>kiO1oD-v!52hH;*I1hhnt8Io2qQ-gA}MSx<^+}
zMk2|6QqFyEGx6pox2^6MHJ~rWFIO^N5|8e?Ri3P9A#8JGEq7Y0!TZt;>HJHzguRB&
zgckE7ku^O(b+&{I)7zI43x?{5xw>_8x&O5hzwWGlcbh_nucc47IM2NyOiGoVTPi*g
zUODrYr?0Dmq0UvqdB$7fq2Sc^wQoC!=B(slC23Wlv4<DU-EAb+x0dn^iggkDPR$+l
zx}*Ya@_EUkt{;fRU6!e3*L#TF(Gx=o(kgH<?(!Ks#TJ67>Ln{M|05(*kEM8BR|Za*
zH%|15RzmaDQ(D05uS9)&jNV^0W#A4L|Emz&M(A1SZu=J3PniF{<uXyM1bQxQvF{Fi
zBA(5<1?uh}ByQI3ccfY>L5`tw*3pX{gkn=t%JGyTqP}8c3vo{oPR{xSj8AqFxgF98
zcLshCn;lvPPqivQPoPg+W?BzHwVi7s#f=d=xTLieITT>^CRdL-qyLC~Z)fx5{C*Kv
zz8qd;Gm{5-W7%%cmal{|OG(Asev-)ZU)rG)DF^Fp`yTpc_7h+6R%N`{G~qL#uU%Lz
z3m+HjHoZw6B-pqzJR<pL2ok@q)O8+Ns8#;;bF5^DkQvNy=`s65^qst@Ah%5hK7Gzf
z=p>C0*<MmZ{RQ)ck`iCe?h+ChI$m_KdO1e4akg1S>{ui=^4^xK5+#AluNdoVrN4+X
z)66-C?aPE<L+SY02x+*o@i_0L=t+Wk`)d1)=PGzEFTK2dSPHUj!{sm8PZQsM2aXNs
zvxBms??l@!DcEUJ)wADeWxmpfIW!ASkWO*`)cl_$><a7NT9@*N@JMiel9$L0#-Z7(
z{DUMxJ1F<bPmTqmLAm1YEdgHOefZsEl3f!1mN-88@6{r4%TH_#rH3DQ#RC^8`4aHh
z+%3YXb(v7Qdi{RqUm=ha;4)I*DFHGNl+k^46}Sos81s~ifT~SnQl^>&1eBNVH;!fp
zou3&aes{!Rli$hB&sIx-({Jykt>-!6QHk!krdJY>Hn{)axp{F2<fdmfedC5-(dSaP
zDoR67mGox?Aql9uogS4P&I?EMnVUA1%Rtr#ddWdM33#(M_L}h~0dU^iyMOVrJXED|
zr7jjqfWlF>OfV9LO;0PEHhU|9f0VH8>rIldTs~~*G$R5gwO(FQaw?F<&B1!1E(Nde
zU+z2fpBQw`*7>@wBEz|?ciyXAq(N-v=&r5*B;d94pm(qc1w?1V9<TjOf~0?5FOE4$
zLp8sP%LjW67&iV^SJWsA;ScT~82usx;ipfg`9IMDbQa-iwo!nsjEOI#9C@e-UvDi$
z=s<mbB{BL~2|7jn4XDmaQ1!W4>(iJX1dSQL-@5YeRD516KK!W+Jp<$Y{99?TXc_OU
zJWK}Bn#~-|`Kk~$V;->)*TPO}Yx&d@bvPEgJG&)T4Rk9HhcHy=pt($YeuIMw8zUu}
z*aFmnTVYJBD2xGp$-5H#hjrm%yLywok0vl}YjxJ$Fa$lF;X_-W&_GgQwQ%1KDkw$%
z40F54gxU_NUy5dQNUB`4>TuBk#`GOIHVY$Qpc*xnj|rp6S7#k{^q`~J=;G4^BPi4L
z=*ti@0h0Kue;pzE@bCH_xbJ2J&vNq0?h)qDytk{@U7ZFW^jJ?8t}?-iF6f?b3?P2q
zw!8i*4g9h*Iu+au!9p|JccRV`E?Ecl=LxTcrh$l?50BHq<D*tE(ySnVMCGih{#qD`
z&lr2Xa$eAUz~~LMhRrng)+a(Mx}4{nE#lAvs@NZ2^WEz~Guh|<>qj&YQ268am!=6n
zvQ$NN1Z}_|L}d%N01e*ox9{6xq6%~GO+~Klw}CKEch}1X`f%l7-cO#-GB7M;BQFzc
z17&x|e*d>w7bZ4xRND#&1Bb1!V}+v)yjAP$E}NsmjnrRe=B@L@qxMV%*^%|2Je898
zC_oc3UT2oA8t-B?dLA>g*|{Fh{<KS!tfoLx*p>1pf7#HhFl(u$%o^G!a_*?`l0jNf
zX=~dfK6KOi`!|!*8YC{9m;1I;8Ep5q)ys~F;KlZPBdZ*(z~t)E%(DyfU|1Np*=(gh
z-L4gCU%avo9{cz!%N0n&>QUqI8>^(SW%KAS#ZgPJI$<RkEhr9+ynP2%e5A2;_mMcI
z4VDme+qn4lIUz9l!S~$UfP_(XhL>#~15iSIZ>pAaL!MCKaCSBc_lsrNb}0cI(^nnY
ze1Q#IhZm}vD@pjs>xjx4a{`LHSwn@4-vsoWC*|g^+!twg6>+eDj7H7-0Wx2S9FYeB
z<q;%&+Ur=t6KW35<o}fBv#VJz(n4u|rX;*8Y?UQ;#|*sOUtG&M|D9Fp=uh9eAdL@y
zPbTjfG6gca>fd`f&2kmL_BxOyjZDY-WFI3_kXw^r8m;%2<#;wfQ|X*En%`EHznN(Q
zmei`R5wmQl@t;X6^N=*^s!sV%|1*ZRgLhibEwkepr=fVhAZh$#k`=Qj)EKmLu32tl
zaiNak(Be>}G-kzw`q9UXz=_A!#><iit8xZw>~p1YJds?~7-|GB)-gK_GWhW72l+<D
zerepXRIB>x9}~jeY8vyO3gGJE=pSw7Bpj*#l-hQl3I1=aDy~-uq5Cyg*VHE@G~(vc
z|E$LZR(KEn%tv92F%>aYwUogw#;r+gGlWom>(yE{B6!-@?4|t=89XdgE|GJ>5PZGa
z-umW?;;Y^NIh-qy#jr>I`4<gWa%_9dc2c?+p6D&m*^(fK>>AtlbWAg#5`?|m4vC}c
zSRiHSusl9k+&1x~oB>&c4E_Cf37m~j-@7YT0TWmM+a8m|08PQ~BR_2=k*vYy`aD|^
zul`K0%JF8vX8~jNP7^8g>e^G<u~!ML^b~W_*D+x1;O*z%4W#iy{ij{Syvmqwy2hhP
zmjUtVyW3S6B=kEubu;goG73uXX#B3mfMCCjIS)bxz2_7a{{^TZ%kFDkpaugPu0+GU
zt1LFYbo_QlRTckjZ*==*$bh?#F2ovy%HfS3!#85zRMEy@r{fye6`s+pIlo+zNBTg7
zLBwq`2F1<YSr^HGI_Hn!KCcz<&wio%Pxq){jA7so`632fFD-2Q`cDy~w#d$Jrckgs
z$xvg}Zw7?X+F!1|p@ge__sXSyqoC-)<^;o)em%`KR(q0A#!Cj@^5~b<v5BuCz4NXi
zc+QW-dVEtxE-y}UH)!BM`b2fB1QWL1V)ZK}s^EbyW#{X<G|*GdnFCk$zUs-Onmt7o
zH;JrUV)N6)><yWMQ*uVY&eUw=dZmgVZ0?d1+cmLWKs{$$i4hdl_eR@oC!=wcm$$37
z7HTo~P?I+sL)7Z?e0^hNY|9AqzwW1n%WpqZuPqsa()!Jm&~P=R415e=i_*fZRG!rJ
zg(mQ~;lGCS<7&t-x0EUh(!%@XYp2_NO@WVD;M%i=f<od?UlcL5aKqSpPJ(0xT$+(N
zi%%$+pL2_oyGs+_PenYZHJU+TZlF`+JOwX%Nr?1$Xri3#qf$nMIn)gmRUe?L<Mrl-
znL7_PFpu1<*Cb~F32_(218vliC3kQ;Z=X80?7YKvv%~`WUh$-q*s0^@&!pnnNecRp
z82!6qLV%Lv4$@n?Iv#+|G@lVQ-2CoFfp{SSGr?DRtGLzi{KevHq$V=TOoRo+a04t4
z@7zeOrJ&#;>cQySs%YX}cqdRBKw^7=tld5e?)Uh@PYF{&O8sT?@$~@Iq{P6tb848P
z5i6Esu8e%eX2)mU0IuFEeA0eI4Rig1tVD#AaHGH!TfGOsK-tjz=l~fVdAITjf0D=6
z7^BD^jsOaaS<jl*ld){~uDbY#vRKQ1HB{CdpiOH>mS46ieiOKouCl_t;MwbzwkiNK
zvwY$?qbhjXo4fH*ixl>4wfpm9i2!oc8NJ<xDkv3j!HGjl5|y>mV*DQvz@g0DdEmG*
zwnpU%*q4eUc{V^)%boxQLw7&V1|?h$x0_TC6GNFc-=X#W7N8bYawI@f3C~@tc9`EK
zinpv5#0w5uK#k?dJMR_+EZ9{_Ry!_&A)Vn)a*O8BvpQ7#%Sm~R3_scK*(i*k7hJgv
zPME`*S3SZS8|3h=zoBETwJ`cYkm6=`b71@Tys1E57Pphv-6(h~gwrS7gP)x=1Ml^n
ziAFp!7-1o++2AgO=KXqnd)Uo@S9Ewvmyd)@KUP3KSqSMr!~3mHnnH0kDK3sIjo-g{
z`0l0&;b~gvJ8=$E;JsRHUF$A|_UjmqCyofA?$G;}(Wgvchwm$K$dSb8*yJNBzl88}
zx-Jh7p9u_}U0kzjl_cKE8i_u>Nf>S1yuKKmH-;<wZi@9qO5kYUu8&4fg|U|NQqev+
zV+i0>*qX*KfesFolO_ftIO<eLT2o*I&%=MJ<UbY1LQOuh<0}yiA81<&G&O=tdx@>(
zhsDuY!PqQeuPAN^-+gAVnF)^XHBW%OIKJTDnyMowh7Cgdo-_n9VZ*N`+iD|mw0l~(
z|KnFNtQTx@3*ccw(8vDbrzYY^9jB)0m94z9Ya>niks*{%)%`4T5yt|Deq+@f33Q!}
z$=2~Ogr&SGF6$U^6x|)B`1q0}a-RFX$jNC4pZQ%p1Yd~b{(?7E12?2_Gg(%Lqk;iu
zJ}>`N2umQdW!(Jxb7`DR)hIcCm;sIFcB!)+lR%00uPR!;lF%*uTPxX!0X)YQ?p&Xe
zz;r2*{0cc)?DD#Bh`E{pGJ?;=yy7JBrj~+x_C7hZk-6ON(nbf@kxBn$B`FLXtzT<j
zCy!>!9MhbIbjW9qH}Ytc!i<E=J%MW#QS17ZD--AG5a*FEuXI%!-7|RF^F5WYp*!VI
zSsWei?|I)Ve2|2sQx3Zl<(1L!mrkxw1Rb(YCZxaKCWEW!76alV%J||P?d8L0I;fr6
zACDfgXlqmddQX)Kjy@6G>Tre*2Y(R??z`o1T;W!r=>=6(&6RX7yiW%qM&SLsG4e=}
zdHkFsn2aUnK~`s4>0lRoSoiWh1>7GqW8S(!4K3(i0q1!cpdQ-YR@tkF!*{q|Iw(_+
zb8C$Bc9#_$8l3;$%TU7S#Ck^QECtJ=;#BwCV*uY85zmW;%BV|`+xqd9Ixf^C99`l!
zgv+wg4Q+kO_(9{;asDI?JS!>72l0k5;#BatCq)H+a6DevVWx>~EwqezE++716;1Xt
zRPpbERl}hkO+54C*{$4_{LA4Pz}MBQifxBSKECnS!uM>iqBfZsfge|tN5n}ojujuz
zc=1sS7biUP(npNobJ@FQb7eJbH99NMtw=?-cS^*W+s2SclQ4^Vs)l9lW3YMy6*C-!
zzI6GS09%l7$6j*^lDv4<++R;cX8dqL7S$Begu{Dj&nWoO^kJnEiHf}KY1P5MO=0+5
zxSh1TI&KU#d)vv<!VBl<bGemfu-|{C|I`6>betNl&otITcd>tyHZkT<GbJENf1r+3
z%WBP})0$YN<q+t~umFzd?t3ko)Uk9<DIsLV7vjCwmVNHCfXBU;c5nEsjxRJ_m~ju)
zajNpid4mW7mb@PTPe8E0MI_g$<7JX0o9$T&&ZTWCH(lW*>&DH7?^o0@efyT<yWLm(
zt*J27zz{$+^NY?e7j;||*(RdFPsTMi1;2lL185n^^mecKiqXJn!HwlAc(OpIx<7V>
z&#R;HbR-3*({76g`zfQ-hvJ0c^c6mb6vsRNRKw%fPP4rgSHjA-5`Fd;0U~@PoH?D<
z@WuVn;>ug{sDF?&^!N-wbeMI-%Um*U2x{%zZYGPVsl_iQA^^&_C1<q!P{kvr)(!Tn
zNys=mHmtS-z;b5&&SVW$oQ8yX;RQ*&bZq!&923CnLrszXZWWx2Idtu(x&$ujh@=p_
z03}^V;|H^p@y%H8ahWtRTpMfi5*`t-DcI60xm5}0ejVJttSyR3w>3B9nGz6qw47NY
zsDyIv&Y>CXD}0+e@VBqV0`es9zj3&wfIIKhw&Vy2V}AYZ{&7nS;7L?opG%iV9;jFG
z%@)MseutKf7v@lOtVJZFQx?zeZ67&%Q~>jgP7gU6n!`fvLG$aGGRUFC!Do@rkH_SX
zcpiRa23lXB|LI;5{#9-|@kx^(r4Br^kSCjgGeaxO)KwbahJ>n4PV!-gr+F3ankl??
zxK}IbA%)NVOKYz#@ZssuD<_YLnSyx8$$RzTlIXKzZd<fDKPGfs2uM3?0)G9RZZQue
zaH^|t)9+G#WE6CtU&U(zz3Z5za{t89zTKovWxD`A;0+PAN;Zb?i#&V1_K73=*|yR#
zT|qpX+VS-%pE2x<^qHz16T@+b+d;FMLKyjD2d(&=5#-2nJHAgA!$^k(c?UINj3|6A
zlOSsZmIr0-c3G_G&NaRv_>C~G`A}GYET0J)gCV|-d}5gM!&xvtQUuxdjc9x}Wy0qR
zc;?hkQ5<~3ZF|l_6g7-<%!gVH;ryNcYhy#AczDwVlSxrA^lCV%IvrvN^PJ?t-?O5)
z+sxXz?vEIreUaE>D{Kgf!DEkAWW~@%!Y`LLE{-?v6#O=Q&VW$b1_|EHVi@El>3nSZ
z|GdXpir-2OKbO+%d`k=kWxt>P#VduOEq6MDq!@5w7ysm=)hj*{RwMIgC6CwiRoX|k
z(4q50?6u*e;wYz}<2xQg!s>smUth0qyFP99Z9AI;?s@oNoobZ~W{j3-e%eL{xB5Sl
z?$;&I`^@ZQlk7^5FmuQ>(xC&pS<GR32T3eC6t?T%S$SMeAt{{Urh{d+-)OF|6jr?R
z?K&Z<h*d9qGowch;LB4BlF5)1-g5By8MavobBYBcYrhzP<vE#*@6FOk73bWgrlE{4
z<tnw*KN`SpPiCk8dlHVddY6~5tKfh}3q*7nz>$9y>RY>IFhuT(f$nz|EMPwRd||`@
zsBed_=>3yLDRD72*Ctg|SNRv|&P#{LtKNF5dh+P7Wq5s51sRzIO<~uJ=n!J%nxqz{
zfWhI+Ls#yr;o3c9S(77lP~z^q-BP27<g1Gv3YRG8tt=`%T}ub@)LDtg=}P$fN^{Ao
zICYdd%`F<B!hqvGtY0-&%2=Nw<ML>?20rkW7Zf?qfFDJM88v^E(XQWT%^DL;Oj`OB
zt}JE<Z!Nw1Ry|X}ksqeCs8w3HwC<|$@jOE)?e}p?4OK-Er4oIvQZ2l}wS}+1mI-{8
z7Y<2lk}<jbRO$|UDvqotO7H(=LLB?MEz&(??4~?)m#U*;m85gVpDH7mVHQU|O;$q{
zyJV+9X>FW;)MXl#VhsPq>)L&zQc#wsJf>@%HrAbTWRLVQ0sH>?-2F(wr9KZ5T4>|B
z{U@&9urP&X%0!TewK|R@olV=tqm2{FBD=U0%;2X*RK=YVb*w6#Ht4xY#kCevu>G$Y
zJp9B)Xz^=c8EM1l9}X(YuTFTu)@lx$7pM4_H)`OdQ&6b!O23c}4V^H%ZULg4%QK6?
z8hC1IUS*A`CQ6?R-4nBgfNJqmQP;vXP}J_{vrGvMJmBDRCw-ZKhF2bXyxTNTJSWC9
z|2+jyNYbbw8vr`Wo$4&f8W?=QrD(%`H9S>#^5?q~0Be)D`gxkw@qYjS0RR6CmuWmy
zUmS<+`!<YyH)9#gV8*`98Bq#}Qg$WEz9kXLQiw`qDY8aVQpujb`y+*-kQ7=dS`;En
zh5YB`{k^#NoclTF`+T3P3g-OV)(9|R_>^bq4np>id&ic%RblL0tl`6xO5if!w-ELW
zp{t4O?b}9GATrcbuH>Hrj98w$=Qxf~dyi4VdwmtS`l;*kQ89UVT9D)*I)PA4fpnEj
zvN9<3QG=2kWMKKp?)59r5xP;uF<sq3gp#lv&Wr|0Nc3>+VQWI@pdjBp#{~jdTsKZ@
z+$|2{Pd;YV=OCnQHoE>poB%3*4$_B-qF^lJktTKop}OU9A5AkQ$k-teZEY+9j>H=8
zTe=9HTYT!D>a7S>C(F;?y@&(wXen)(qoGN+_-hJh6`+E7vV4so1et;|oa~`AG%E8v
zB*j}EcD?%csCSMZ;zJvUsy<twzK2fnxsPPQa%b00T`oR2(cRYfpQ{D3OG&QuGm(J@
zvn4U}7kMC_`*$d@&m4IPma5A2NP*7*f84JaZs=+&Nb)x@N8(4W@Tvt%LQX(P*<3pp
zJd+jbepO+H6zuEo(lsRD9chWB#gPjX%j}Ee1<laSFJPO)E)Kg3f;(%-To7!clxdP+
zimo%ec4O<JFr}*5J!s1XDZj9it{*1o6Z6YlHUUvEdvNOtzJd$Ro%naU%F6^jO>6pS
zWrl~I<371I8r%@XdE&OqOJlSodP-a=RRl`KDn@laasxi5s?W^U7^TFo74m%-hPtT!
znuIPMuxt7$b^VDEx>Z4o-5V$jdEq5m(8~*zE#;iU)<#G;Ut?OARTv)7Y_7R2@j=hu
zx;d^sLnN_oT{zx=1J=873nAtLP-ZV-o3h6crPT>KB%Q(mJJSd9lbeFzc*Djw?yUi$
zd?_{Y@y3CfgC_CQRUvQ-kvO9nVt`iel&|;f$H7s*mz$(897LA1E{w1kpwFjV)&zZV
z(ANKw-)EmN*wqeKHW%xolKh#2cT#b{WzA9WX{QKKKK1{Swa`c8YF9pu4#s+Z-ci)p
zgNKe<X*SnsJ#=;9y@n=_Fbs+NynAs}6bv8W?H*myL!IVp{K1U<HmP@X#b%2^?cx*W
zu5Ef~+Nke)`+H$v3JlbJJs=K^_P@?P*`%WXTtuF;9~FV2Z07cCSxJbQsDA8#QITKh
zU@DCj4^e+ppVE`0AT6`^-1l@Udb>xhG5i4@vU|1~5B`w`yEv#abf+S`jB)496QaP;
zZo6reDho*ofeRlEsAx%Yv+<9E7*LS5!HB9nIJ34*-I1Xp<L_6-!p+3t;8$k7U!e+c
z=~s1UAU_rDER3GyH<y5G<MBHu_9}ut%R$^GHx=2N_T;xXN&@qpW@Q#jCAfBZO2|co
zii$rsf6zNA1#&ZQtd1KIAkOmLW}G?|X;obNg>RCEL*02ollnw>6AaA}d#Gr8^!+zA
zY_g1X5Paf{l);_nvX50NW4?Qb_L8q0G?eY)+B8=I-N}TK-~CiHCeW3e_DUY?*}_87
zx2b}rRpET1vL15SjJRNZO941&0$<Cm)xcq5|7IQI|EqY74)lg8!Z}gjRux2os^F+R
zML~VE#p;{dYpet_9$b2MWOcZ^9}Cnj*GGT;6DRv~5TJk>`|&1^1_&6rQ(kO0K)0X2
zo(_3Q01@19?XDLZASV=sJGEti?B_YTPze#<S$=!+_P8eS-hRoi^3)Ku-S~Cl%VA~6
zzS|i2VNDYzumAYKQDuZIzLt%NE2_YSKRPB$yS3oD)FX1`1!JUOk+EhmtOEIw0t(v4
zwcv@nYD0UX3A!{c!gB4HD%ft@m5}471<v2r#_Ug;qKw;OFT9x5U|Q?BtiOyF$T8Wz
zzj53Q^%N?)JwKra9}Wu{J}A%x?IZ6TFNBz*qeG=w)JrvRrvi57wFbCe4jzp3ut07i
zav$t*B!~{-*hYP?4sG*7&aGxN6#v(9ZkbF1G4o>SfO{kezPI~$A{#=c&m!9T)k)Bg
z?>1v`R)f}@nNm|Pgi0TE#LKafAUx6GeananggtREyi|kGk+IDy8V}V#<nH09YGY+6
zp}w`?nnCDS;B5^ZM>QzEvva)mA_3SYD~|OD(h<hJi8=SG0vm@1PxpI8cza*b;u49D
zb}meW6%bTmuco|$kDdawHm;03q|i~<lSioVhzfM%crK0V%7SQ0#Q{}KI%59*_kKd2
zGF*T5$n%Pt6zsFVwJsq}M~auoKW{b=VW{%4aFnY!<is8oR9r!*#3^O-N-qHp4ex8E
z4d9`+e_Q6?9)vh|7luE0r36X3ubte^3Bw^ns$FO{LQUC8feMp~z}z%PV!b2;FQ3fH
znC?ZWFv!;O&UXbU?IbSLbn-*#g}@uEf(SL@jBkan$;06<<7`z+JkU#@ojh}%hB%9A
z#BEjN!0#e2_v|e$=zXC4JayRu{dKMsZ}gXeUCis*hbB3oVw=dsHWv$Ik>Kc^+$9AP
z{ShaI(%4~xJFqFY)f{!w+cJv{B*87HroS+c4JJGd($^);kttyc$@Yi?o6ffr_WxKR
zQhHjo?xY#IYUtqPd0Y&nh2>=N&8(pK@>p>BTT_JD_4i9!ih_vsLHEr@R`^g>6`PAp
z(fjTPx*1w{*r@;EuC~Mq%hCJxNLQO6=lTcLafTw$X6x27ewYo+OYa%q6f!}kY=OH1
zyoI5f5Y~Q{jU8@HppTam7`$LTC6-f(gMnC)vX1BMP?j-4AkG^h0plrMJ`NnTy!wi1
zcW{8lF^enNK1PUGEtT{tS%|^?lV4I^aDvH@u?*jYA=0BM7f(qFfwtGhZ4OM_pc}v!
z(Q&{K`L}D`+?6W`q1#usukGf6uirCBLvI-Ow1xQ%O<53_eQ&lFw(){p*)IMNF9XEE
zE%dB=S^#zi=idHn$qz*Gg4lmw_0h<$ufIt{0&u^qtk(Cd0N6)yYyCW-k4jnRELR!N
zloWUB3uhsC`@#9H37<Za*&T2FLtPN0v<{(f+i?)|efh`hDm`Q%V1JlDUl6pDk8h*d
z2!oaV#ml_bdPv&SC};pL1p9J_Tkg4uK=WQAfiTO+;dIf&j7T8}v;IiXKaB@LuFTLA
zc~sPB)p1c~S_mGbOv}A&5``OPk2OPgP!Vpyr1ew)4lcymJkMtlhoY$ZqBtfhQX>*q
z9<vC;*U1RSw8Ii`p+a4U*hxVr507Wa-V+9Xu~n>aToOi}pWXHE90g4T<=1sZh(OA}
z8Kay2(y(^Vbn<~a1&t*A6WQ8<2flYj$p-{vfo0Q;mCcZX*gp8}RiZM^$%{Kp{QYu3
zFuSeNEki+t*LN<&QpJF^o!R{R9tAjV$F?}hPeFsTPdj()6o<?BBR4B|D1uwwxx-$(
z6!a!!Gp{L10+!eVy&HEbfgnFO`vEZu>Ke<r-`^++c<r%^R{IH{@2-3Qk2VF(^KVFb
z@JU0HvUC$qFcD_=_T-&)rJ#zA_}HH(WS~?sIn3;wGUVwMk8I1OparLsnQd#bFmpY@
zHR`qsd??>fIW<K=Nvt{Eu^IBvAu;7v{6ZDZ8rkbdT2hgUj{lTSfdaIA^1y#sR0F+F
z*+kSrMenRr+>*l;;l*x6mMngCXrzUndd1+l8)ukUk%JPHd^JB$lGT8Z>}5}fXY^1Q
zTOLasg#i2RE-&nt(ggiYc~VG;KAH}Vdt4_*gqZ(IJ(>P#!qxe>`*w_e5?Lqaz3UHy
ziy6b$V?hh@_<TzP91T(6QmFs8QDwLhJjnXUl?>Vs#}9nBF+#z?#=}jF{b-nE;buC?
z@KYztm*3GCU2Xp|nZV#h8LLr=-y#_}i^9AFkC>nX&G`DqBsIu+yRBw$iVV!&XT<eW
zOi@RP)1$RMHApRF&bGZshU-t_h9($&QhsTr{gML-yss?&BP?qHM^WFM>JD@CJ6*)e
zwTT4fP15l;B3iJ&CgDNf3k&pW)r|T2UlQ1|1tk^CYk)!0JvR3jG{k%Scg-0|b$H)(
z&}KPP9p)n6eDZNesCTr7OAx0H-2K6;V#{hEKk(UC0vKLkz{zoZk_2k}Gdsj7s$d}*
z86Pe}M--ZEi()zn?rZ40dg!DK0!{6*U3=-M+w)jND>n&*D{>dg4-?>xdLlnLk&e8S
z8n(0ht3l@LixDo7ije-)dZ7FY9ZjBBGJSSK6?)|??1aS`J>BW|?cQQKT9&DgEqJN|
zT_YMZm!hO$Wbb3G`Ac+Eo4|Y~{*5xEQBv3R1tlOqaARQf7#%s(*gqJ2MTB1Y&u2oH
z@xWa_GmvXTN0l7cX6JhdkT{~t!lWe(^+~(kyl`}+Iq_a$>wyvwVu$-1P6~pK@?*(>
zL4>68R|fh@6ydg2`QQONUN~`Uyl@~5q1{&1*9y)nKoi&CIOQoPJSz!JIcAK|PQ2W8
z6Bc<$Gz|F3`kf8jk2+EKp3{(X-;T30|776!wT-)x6)X^0?$rH(z~Fedvw{j<8X|Xh
znYn#rf|s#Bk2XhJpv0AOo?dH7up2IRX)xTv+B||6BYVw};`C#Iv-#rCwV0CSoVbZ?
zBW}_&q|DKhRi`_VOAG{!Dam2U8`$dCResq}Gt}g2Hg>HD55bLh*M*21*zzUghb-Nu
zXd>$b!N`%3C$DqcH|;mDrhAK8V=|^lK}*uBK}{IkHJRz(zi(jp8wu}lu_mZEAgl7Q
zA`T>KZBj4%*u=b|X682D7$fc@1@1N`Lg3=xL{6q}VNb`d+Yg%=BU2>_oChPfm85K5
z<%BW8ucQv9)=DE}l|#@^$l?dN)!1e&FJ^dVRr$JK$Oz4~rKPGJ<AV#2bpEIYut285
zuh&XRhNxTpv(csVys%!3zb12$70&xBT<c#kKo9@cyjp+517XG-x#yp;!Rn*ouj8Qx
zDF0mg?Qv%waM)0M->JX>&y`S}_YZw^YUT3y5EBnLee4ryyub;uimxidLiN!$<(BFv
zueo8MLZo3um>b>|zAYlG=%Ko}%!Zja+#qt=PcH914-oiVI<F?`A;PDu8`Ug4@R;{7
z4?c(w(qrZytP1I&`{BZkFZc4me;@Nyoah4Z&AO}U$PFsmn3z4C_>2d{ButuU(n9df
z^7pJ9or?I_72-t#ctOEc*)dH82T3yLs=XMw$GWhMOw;58nCUhg*(MCdatBtz(<mq}
zb%!&PC_mI}-ymg0iGcqCNxzOtL5pdpL<$K45PHwoi`<5Xn8m@RgwML@PL+#5wu>P6
z2x#BY5)*^V7r)QAl<A_x`8N-o+=PI1QplS<LmURXoMfLJV$8`Eb$&892%W6P%Zp3G
z^c8>mXboNTM)R>E?iUUm<xi>ic1S_wc2z3=pAIs;SlqtM@S~O!*X9(GWx%{qbR}k7
z2c0_bEvR);gyG>6pE-TxAkwJHJFim*We`(2xc}gxD=o%6QCk7dUAA}@)1ZU83ymbt
zsENV-dpMyCGevmh)px{+F;|Toi);)Nhd}aIZ1jK<B)+ph7ty7Ig3ajstS=<MriLxG
zDUkr`n_-u%CUuZTK*VCvb}6_K^E7(BkqEBowfCF_b&-koyDpzmX^05R^?A3V48lrj
zf2<sJQAtz7!;u78xb^AF?g?{Mh(Bg^x1(AYm0sE*IcF*lL8X6Q7iFkHoVO8M2%dtR
z|7)m9PE!Cb1=q6YuSpPLanW%43I*YA^|`v9RD^=4vs*X?4OmEbFi&TA+{XM^{ZNz=
z9BSs;JLSRf3x`_2pm{3lTwNFIh$4V*?Mzm7sut+c&frx#86KJ_lHqxR2%=-ZntgJ~
zpt5f<>t>xkYV7j0bBtAng^*giJMr3Zq;i)vcN63M4+#WZjaGrYIaR_{DIItrL%O{8
zl_8Q-7Qht+s)AuWVZGN?2X5Sr{O7@KjP$#`^Qn8(K+3dCXeC+)?Emz5-LyABe&qap
z<BBA(STk>W8lnS_%g`zBYm7cwCRjH-MgsHCxAeA5bb#x?QF_q48EW1c6BQDv4$kWZ
zuHmiP@Z{tR`Fo}oXnIh#dH-j1u$+Hr+E+yet%_;u@HiS8KS=hR)zJVxopQr@3oUpo
zEI~W!giru~LrvOl4XD@lH2rd314i$!a6WjAP;KbVqvK{8usLziCcB6PmzxJZFYTlw
z?ehmN3azWd*P^w(Ut(23c=*dhyBl=mIcm7Hd`=y*#J1Cy8GgD;edoK+vvj1uV>mhc
zodiADc=4rKC75-MabOa+L~SuQ8=n$Muwjt@Tf9sG_FyVmKh!PJ9?7xJ>&9x3)#W*w
zJS+oMXDu~XR4virkXI5xI;yb$vf;tF8xruAs!^mWWQh!e)L)eeszBz)zOU|sc-V@#
z!z1yTj<nY9`>ebp!qk(A!S9|pP#KW)t*E7=r71S<wQ>Sf>@`?Feuobl$Wf~IkI<1s
zGUd|1Atf09su<QB%L#jDe%c8#JgDJ-p9&{I5ysNSOnanRVE}KHx`V;r9L+kH`4M?|
zr(kwoPG}3uwD<47<cm;TQLTY(j4T{-Y?kfx_=82>sXzXN9igS8i9fCwNW<oqyY<7h
zWo%ECnAh+w8Y&HKvH-j!lx4Nd$h0nEy=v1ecIPaRcA0dWg_t;8jQDSd+tNJdP~=zD
z$>2_vQkV4}b5VE(qxQDM9~hy2<Ypp|IqFbq^^wgKfzMnk4L7@Hu{%Z1BgY)f&??T?
zZFUO>UxL&1le1<q3t<A)_=+hCj*hrvRU`!bZGD~J_I<}@_Vx4Y&zPWt>&5JDEdtPX
zL0$Oo^bf2wu&uJ(zywX70QJ~pKCs-nh9yZZVC4rxu%h$ED7=k!Ff*G6LQ5uQ+rIt8
z`i9pIX?`(6<LBhP-%oMDY=9#tAz=yg_+l=;XS)%)OLkAs595TFf(~6d=F8Z4yNmTk
zjUkGOv2A{7zyUwM&^*+MtJsXw)?X!ILqt~C>-wC^4quYP%1tzXW7f<^3K~xtAfKx7
z;W-~RSQF6_U3L14ed+pJd}Bc$xdyHpi~%c%gx+saFWA7Wo`$T=`syR~4Og3#U98~u
zU%({WpMThY?E)`PzSl!ZpJOU1n=CL?eJy^joe3n5xH~v`=pi+uBa^A4EKppiH_0Tx
z0&5MgI3nLu(IvSgtGE#s(8JYA?TcWAy(;zjAAG4uSGK41=n4yDN8$C}ePx515<l%5
z3ly|<xWtFah!tkTIHhKyIUw0n&-C>v3L5W7rSB_Zh3Ms_WB+8iz%as|m?_Ngf~8X?
z&*a#EJlY!cZ;~6H{dd&z<1Jm(U$9zD=wgG!>G)5pUA%Bn>CY;=jV^jRlwT8emK|(T
zh?%-Q{4kk^{Ugolplr5Ex^Mso&?9RtG!_M+rO{yPLbeV%cA(v=J%ke)8-JzjP{KjB
zXUhK57CLAqu3jJ@mkVsOh1sw82t&*hnt#(rZIsA%^_|;$ZrJg2PiNvo5m3GJcuUb)
z8%dlIE*G=s1>=&VOYGXBu)UK*b=NC0%5Gg)_4>#MVbbQSWK0Y)iq$V2^(7;NBDYno
zG6A6NE+B4%NWfz&nVN5`WYqQfMfH9wArQ_oCb*hQfwmF%mxM+wbj)T@M9hJ~yP(HU
zc(i2zYt@etkJCccekcE=M+ifn$LoLsD>=A!Hco79zZT+blyClAD*~AtgD97#07>D=
znf10>sO`|6ecmjhaA0PeV11Y(I9~;tsfQM-w}WW@V`7k5X`fV5uLNa@xt~5}YN5K(
z>TA<m;_$VrmG><t5mp?xK6$*?Lb@gIzZTX=f(3gLb#JILc&kaywjCg&P4(%)3*pkR
z@Kd3gG_AtuSNjxvHpuAK(^&EHeX@{TMh?h5q6V9j?!l{r+GsMy?xDD|Jlx2b(W+V`
zL3><^vP_5$k~&m%g4&`0hr%j8i6?5nicj`Se*s-oeob+ac~}udpSkoY@oGVj@GxiE
zb6r#wlPDm*ssxSqd&!O&WVn!-`oR1y1tnM<A9$-sgg=`?jS;`JVcJn`q2)dm@!v3S
zn|D+O){*89j>S44(tP-`<tW3yKG-a9B&&dPYIlhZNf#)JGo4G)1_%?sF0@js3bj`|
z#>4Y<Vb6r>d#^-86yI~fs<K}VdStRCW8Ue)e&2gU$1Nk|JM(s@{x}H^SBdE#Uekqr
z!!Ix9=a`_L@MD`g&(#_C_hu{Uy)Gz9HBK(+njvd+Jo{Cd2AEY?$NF5*h2pew?OiX;
zQ9?n5UBWI+&`uGF`oW?LedhD$d4g!DG6$2F?AC;M!Q>Y)G#%JY7A_5nX5?@WF1mqJ
z3!WK_ciq20hD|>4KYA*36zOs<{g;pybm(%KEYdV#WS^&r4Ms-`ILXs-?=(S3_UF*@
zO%miNBst>DEzxt+s0qCgP56;oSh@N^1!i|9C;MKrM3J+R+daE9z?#W+R`(wP_y*`c
ztrM1ra)l`CH>D2ZFKhxZ8Ae|^F&n10Zi!eMmYj<RNx=Vj^&7cL2KX$eWfC_ST>F-j
z)LEbg+Lz|$SdNH85$5f9`lBW4R!orzrK!RS@wBY*Rbd#ZdmaDno+VOBPIAi~R0jN7
z_?mhpADpLg_D%&^qFaJPE`Rqjd|p&2v__8|oQ{79yu#q=XSaTv;UOiU7<uzH4Qyf!
zRU^DiEp$Zt%f}h&s0fski9f^-{lcgw6?R2?=x9pWqgTFO9;ErM;$42vU<pZ-fkV>>
zwPXo*-ky+w5brYvSltlTJIDX9<v2o0F%ewHRi%K-z+d{jemU*5$IF6P4up8Gobk3T
z5{HAAb*#^y9Hhne_SUlM(2%@*^lL#=QMhBm`h`troaVf)eCon}3sjbFyS~aL0*$0+
zX)}D2w8}qAp(9D=NGF+H^aVQ(G^cE8<4#V|91A=nuhp9&ztWI{89oB=L}qf>@4*!9
zN?&EN?Ke}T9=iR;E<7&`<!vi6{>OOFDZkU~DyE3?g{@DOk*DLU3F;!6A86sPvT$Ag
zCdh_)$MsV&>>#k0TeNcj1nrMOv%2SfW0c(<UnZi+3j0qiF6urVrNu$US_R`g*NzD4
z9>6h!$Ft?#7TrTM`MM%am%T>F#rg4;QQAN3R-&1$&evYrVk#k(R%?i^OY8BZ`>taK
zj=WOF%MWS!L=yv99z%3%WyGoZ?r-c~XG-wv)B@T&{_63TU;}iop?G_+*DBWfx!}N}
z(mkxud@JJpOMP@c(_L@%$THUTfxB7vcNfN{AbiV<rjOoM)_?JVCG3_hr7fm)01KG<
z-79cc4>3(2=E?9`#Jv0V1qrB+U{Md!y?T}O(2C%sA8z|k%;{!9{-+~jSo`aLZ~Y6Y
z=$x6-mDj!V*fUPg+g(@QW7?cOnnR*g)c@Pc>Sov+R=4gdc=OW~W)vR1V<wk^M6T{g
z&y4<oIUF6@IhQbv?JMk=%oL{}gMii8&m-Tl+zzAZB!w@SZsUSNU9m1&PQ)3+q<qJY
z6x)xXp>Nn<=FA8~Rb5ngTx-)R{yUa)Ri5)?{txWEo}s5G!!K;#iZ&&+eaEWlq1iLh
z3s^LBRFa{U4&u_>$V@b0e0MU{{Ds*fX2()Pl)tNu=s7fU>7O5%=(*>WxR*;<(0a}X
zrMF~cNV+FvxH^Zm|C4yDmAs7U3!J!mM39WOJ01LyrM-a7d_A<!arY{wI3F`KVWWlg
z+D`AAb^3{gPV64}X8Ieew>|SPHeC}*{o?dt*IL9H$S>OOIQ+$wFB@@LJl8<s)DSri
z)g??tQy{nM;s!Qo=<z{IN&|6i?qjmF{Dtk0t}8eA_Ycd<>BS!iR!8*ZPT%OnW$gCA
zvYz-b6X46o%ZIv2=*)|3&Av}7Slal}fTP=3;HdLxSSNvmd<5^uJPlpL@(uU6hm5j<
zf22pU%Q-bPv5*sfg7^nh`W0w9bdeq8w#(;^t*9c33GTN!*E;s*R@K?`a89sz6JlBv
zpo*6F8tF32ZDM+HuP76zxdFF*`7ZB_3Stp&ER+k}!hVoh{R27~{UJ)pq0yf)AFO}e
z`kM)!<dIg$CIaxcbc)GpMH#6~wYc5)U;zbI)yl3DLLk4xxgs-D8C|q(DEaY;6)ffu
zEt}z^wefFCvow{_xw-GYHQDSCfA^GO#$^%c`WW>sbBu_#=zi})0yv@7B!+LoO%yKr
z#szO(CL&SiTw|^<ZV-H|diS}VI2`C5HEi)DqWwDrl+NGag|k+=npm(TbeISGP8ksq
zu9uU~9xni|y+Q++I;7!pcl;w^H6rqQ(k~V0B?OL570)`i$-y5VRxKYg5rvtIy892~
zAcY#l7n!I4>h*Z8Xa^#)e$g;?+Ft}dda6(+*A-#2sl@t977^Jp`{3CLqCj;BBF*O#
zK(Xa&bnh=BI{b#MQ=Ls5j&ygueq^f*@qzfaPm`3<M2^b+DSk=l{w8qauDmK_Y5q0U
zMJgzTbvC??E)8!Tb7tQNkihp+$p;q$Rg_2BUlCa*3%MqmXFrN+!2bXM0RR6Cmv=ms
zZybh^jAQSeeK-!z!Li5tb&yfoMs^eu4Iv4MP!w6eGLlG%%!G{IH=@Xj3LzsTBYS52
z{CofR+@I(3z3z)-bL@hRw>)H@y^rVRlfY=`9zPEyDPge#+$Y<o2ml=6TTK@wv64Bq
zinWs@3<>Q1mR3y!WS7`G(l3QQ`t#h!zLt#9ygMdmGo}QAG4~(Oo|eIaY=`boe^kLn
zLneDVHOVk^wI`cAE{mO=7T*82K^5D1d{B|AR0WKt8>ajM<uJ*W*r{*1YFKLLW-;Db
z4P*y>C3;y280~{slh@BsumJOWPV1l!-9?A)m82?Q@d&HKgFh6kjn|^k`h+G>9<qK)
z=2gVhbav24vO0D-&ClmhtTxnkCpRWvQNrZjo*yeEsAHAv3G>f~bb-It_Hap#GREHf
z;#hwR1@lz=F0f@_09W}21RgvlVO<0M^aE@ZtN=JtGAsZ{j5&V#1TxlC>gs)9Q5BOx
zXNmvL8G`1%)RR^AWK1@Z!TV8&3U;ZsWlG(h3YRVA-KAa0*sE02+oRV>nBV;m^pju&
zDPQOW4(pIHA@*b&vq&O#Jezu@Z`KHgc*oD%e<EQs&P<(-7IK*C?TC>X4`Uek&vlaK
zgEDr+TXal&Lkh!eS47eZjX|i4{{iP^C9Gbwd*Ss>F)Z7`cW?kRhK%F`2Tu1AG3OlH
zuSa6}uxD-29M7H`L!|;oL=R2@yJv8UZS*NCMx3Q?Or0}^%*p3tk^J%)r+_4T%a2{O
zg-Lw%HG?s{_EG<8fWu>HvDwmaX$*DaujUa<FoKmC7yfTc(wJh%lVhRjKM}Q6PSH44
zBlyEOVt;u^64MAfhF@M?L7x56c@uDx3bhIH^k<61u|{F-4-<E2pk`nN`}5Zjj5avB
zMVmyhFugVV;!=7rzo?g2;baJ%N4pn$xCF6&<ucFDMT|gVacheF0??&6?H`@Wi#=7f
z3(l`(hCeImxj1ux=%84=uV=V0O=+B+<1P-WFI$}TzlVSYBg33kA1lT^Q&q<Qngs?+
z^A~B741jjns5tp5Bi1RQnU%A_0zoT{dF{FS@Wjr!CpL}_t4jJ^7PZ6zzm!W=f<Nd%
z+P<H?qo!ME+kZ%bZw(9JSDuqy|LQ`X)yTL1Y?e`J?Wx&icNX~hoIrXjr3(bM3VwCJ
zDRgsWYm3Cl0_m6kd6l{7fTasvcJAeV)Ck4BNPLL{Exf?R=oi{B9N#;o{j?0VaqB*H
z%N7TM4-V~yuWA8*&>#7vkPhS~>+_Tu5ggpi&$_waQVWXD%heob8bLZ-{={@|Faw_*
zW*L>g_x}|YQ?@MrAQJTh?PaUXVC*jKki@PDfzN7%ex0311VyW_j_~1t5KnCH2-E<l
z7^l1|T}udU^|Hjz(>U0S{6buuR0j{7=b-HNDq@zLbuR7$4r<2x?$kS}L&Xw$d3bRH
zDes}z@wH)rz8K$L!5<W0vR*3j#kLRyN3&~fJgji7^~(KzI|^K(*lLtq*+ulslR7_b
zvcgre)x(`(HOREE)~#ov1^@2h^jJ1_a6h3`AMULNDlR*R_FK^b;R8P8s3iw@+@J~a
z-&TdQo^+xov-iRIp<?$+M^1<{J2y9<qzZb;9-Qne^kB;&My^!k0u~TR6D6xcRuw;s
z)o}(WDPD`Y#mf!KrbhhAT`E95*AdBH!w8&otZ$k5dBCgq`Dw2p75E!#lf0<T3>+@^
zAKR(&g0J^aeK~>(I4Z71CN<)~-YDi;k{2H+aPM<$`$+~>?t6o0eOO_HXZ_eH$`AOe
zaJ?VtWZ)v|AIHe-@Gp<penU+V90Q-Bqb_7<J^e!0kC_wdQV3J=O+wHzh<;B|CWD2>
zJ-gd1T+kD+!=f7`0xh<-r_udnh(C>67nI<Joa&tSzDLF2=;HOCDeWY%a}X$hX~qKu
zCoUbEJtz+8EY@}R^GHzNn;!8niWkCy=+bYMNPyq7NAzv!BslY#mMGKD2f+?BJs;X7
z!Lj41BvSzihWbYyx|<5X^aY;Mu5BqWy`vsR?IXcRMscQYs~{8y`5tf4lYxiF4$4jN
zlA%U4I9t_A7_8<JZfM2G!o(Zd|HO`w!Pq3Q)?ZQ-q|(GJmVe>Fsk3rYDT@q*WVZu_
z3u2)1i|O6^L3vPrbeP1(r~=>Z*NX@H#9{TCMW0?V0T|sxU5lesz_LQSKypR`JTLS}
z-xnZ42(Q+$SqW8Os?XZuS&@X&>({2et}6o9o#WDOJ*x1ir9FLMzclQ2)N8M`DnX{R
z#z&I^H89}Lo}UwufwtR-(gG6+Ok)Ucq{kFUOz3Q8r^rIFM~<^67a6GPB>`iv)ZzNS
z0x?|+JXq(Z)kQ>;p<gaml&?<%hWz%cSDcoEPls<bRSuJZ?Zb?Ngt!(|yQSk;9p%Bl
z@Eg+_zY0Vh8KfT#(uU_PH8)5{2=Lz9<-Z&m6;Qv%m6|f41ETTzTQBhnFdt!lhjqUS
z#0Sj%=(E#<Kuf>Ep&<o0<ruZRR8EGaqYBJJ?fM{?7qoruDiN5Mbic5wkzw(WV`rll
z0zyB_|MTc4f|~!3!dn^=EU$=u<2MB$2ajyB@+iWw;f;)5Py(47_t^bL0puKwgMacX
zLNmx1Tva8)#iHoIpXUwX^wW6Y87G2kkiKcdxIDNeB)TN_8A4jDiAsG45lDYLk_9i~
z;rg%U*}uwE=&}tqogGyGnJWuA*2B_(YtvQF_M}2@+r-#eK?Tt9^N2WdToPUs&wMP2
zqC)s5y2dDJ0vzT=&RxwD1D@KX)2CyoptZSAegr2EqVI+utu6|}0ln&get#-dO|$bh
zeZxZy{l0gv(s=>VNeopyOoh2z)U`iW7Jeq#Xi&;IfltlG^#vytlx}YQEu+Z5xBQIN
z>3cYkO1ev_Z!!dvJSmf_JyP)7m3nS7pC0n%$Be#QF@!t(Pt#I@BmvKp(EKH67m@q?
zEUur|5X|n>IaEtafN)g(B*|wDK~+P)hLr&%Qd&A>i^ah2uVUdDh6RKIuUY2~1BB2W
zajsSqfq=4tsl%$1Nc6+Tb00q=pp*GE=En~~2&p-5Xfi#FbSU2v^4c~4{z6phRvtf;
z%kwhcE$u<9FPDEq$p(8fDs)!q2`>bZ>@IvW{DLGcL{XJJ^dV|tDpm~R2J4G4x3!u+
zBN`{a#N|HK17)coz3{#J;2Uq7{GOo&@g<~+)DG)H;*P$RA1w#`Qc`7=Giyb@!d=NG
z8C}RW)wZY8XN7=!x2#6`I*}LMUTc#+I<Raam8spt3?0ijrNYl&k(uws3JSH_AQ>HF
zNuSCHTfbk5vzGQD0nKc`gE+LoPj^^px@13i^F3*ZI5vdDS4@~=9$J9yAG>SLOb=IZ
zKN|YqjUuL_0fv1aG~pvpUs=FoI)K|Q8edo@kk-q|G1+)cFbE)>nDC?pcRzu`YY~5t
zv&-KtHtuP_ucO;Pz=H-JaX%2%KQN29uzo76T~mjB(pu=0{4UacDmP>I!aQR2H|blu
zyE^FP#4p75Z6kf{L$kFui-?vg;=s4Z9ke+h{Yl>z^1UK=V*JE1V(|M!;`QScc+kUV
zD=xi-#C>oxVRBwY#OCzVCtKA(;Q?v$W63{+pFSlqDs&w&YQlw{Jgf%&Z0zwuq5qJ%
z>eph|$~Tc10S2Ao4pk^2%VnI3{)d>vyuKMjzm3p#aZD{+t3qP#>q!6Rf5_%z?(B8n
zU4+I-Xh(8X1;UGm2bHN?$g*x@zBU~#C|`7YpmjwBQVP$h{hHg$6`DS=JJUh>4eow~
zUIn-wXLV(M*+vdFW*9bf?Ss+S^IgV!9EoZ+Y2*66gS<*iYd`6-A66#RC+#%I@KU%C
zOay75XQlPhB90LTszv{4@7?q6Lj%r%Jv5+@=4#6Loe5?yzUOjWR0i|w<88yGv|zY>
zx<O@+W85+Ef3H)Ofw^9JCNhr>hX0gjn-8#pRgqUVU4|0qx#W3N)b0bLPq$7wi*vw`
z3WLq<T}5EW3$!uJ)5A($Q?z3<Cloin9xU)tgi9Icd5#$~0Ok_5<1NMwOlI}F7Qcz$
zVYEC_xX0PUtyeWDaXfIdh%eX4hX@m4p(eq$%pjBgn^p7xAH+zy{o<n~LNGdc>691?
z<b~MXdep%WMk!MJe&i^?me~+36B`?JnFb|`<q86KlzE7ajRM$A-qKA|;D9<#!@C?$
zg@K!qFcvMQ085I`q|<9TL8$(pL1CjP=!o5ouU#jADm9~%bB7E5v$PUj;uQx!fvVb<
z(*!WOxLbP4o(FJ}8Lm2?Bw!?-ns#M_0Gy8=N6>%g1*hfnohhPHU^k5SD3VnGVQoI2
zXP5Zl({*~bjA&`dYFTj!@>75|=P=p31VPY=Yies|l7(}1XN#^*DZuC<wuKscVfegg
z+~1pt2aA&8_iyhJVTuFi)k7-^*+;L;M4QS(_jbyUVHZVEK2{?;AaMXv-`{tz+a<s?
z_n#g;-b%m=9*0B8643i%w)*&cA}IU}P^hX<hCyi?39^eMuu={k&y7-o6v^WyhEim>
zUhzF)?y(fSEWYqO^dJeWGGej@*i_)MsIZ*FZ)sSa$@)GTM1~WY_aA!han{Ayno~ww
z76z<tRz@1BK+<{Je<t>7F!@N5=2sjZjH%mGCsy|IfTwne?<nx9$%h&DOAZom8rR>6
zR)u`FEPRET27G$)+_FcR06sp;Z@<s00*$h)@Y0GVe0y4?ea=e(QZy}|{FPIK4rhr`
zdQ2NeH%T+Sdwo1;^EhfIqXxd!MfB5;bs?1dZRneOim*9%naVn(3YLUPmz4;8c=(~9
z+sZ`=BED^3VL7D=H-nW963!yP5af&8*---g4zGS@xC$H<tEY{82ymSBPzmC!3@n<R
ziFy~wFx){C;^bur`>#&M9Sl~6B%2G3=K9KT@m=(Ob!jRT4PAWq<G3=Y$klt#84w}%
z=xbtE4HX_eTxAv>QiAlB*VTzTazN_$v~MRF!ISiu4I+MTe>~0{NzRagC=vA=i@`=f
z5fm+yP*eniYrbD^X-k4gE)sDp#|SKHXPxe@D}bMQAjN7z1bp&?s=0EFpy%gf=Kf>?
z?Cx8-Q1gKgq<&Q3nWKy#woKpbHH$p3TfVx-qQ(ie6)8^Ahm4@bSjk?<6A!_Xh{fsy
z27od*v}1z`-$uFLd?}X!$(TIBYW*!FIzuEo=phvXjf*aI|C55$=OM)Nx--ZGx$A-)
zfeMZ;;nNc)l5p$*RXb$m1M;=R5+l7f1Qknhn|_Ko2xDvR+hctwt~%32R@)G=*d8`y
z?1(^J$FVYx(JA!d-;k7!I)KUkuML|Eg3vV6RQW1p5xtjo#9r43z;7*SR)vorv}LXw
zs#RS@g`Vg0zDhyh-5ttpX>T4#5k)zK9;~Aa!UsA93Jk#Y!RyPV>ztq|hnK7WyMdm1
zVn}KIs1L(V-#=;wutDjYNXH-1o9KMHc8<l29<ck4xs{(~hBx*jIG1~ys5{~Be6gS&
z7&1|WzE|yss>u(m0kWH@nLhDo&tY8{YNYX__|O4`M_y{5{|2hSl^x-CM+cY#=Qw9q
zcaTMqBnbI$9X()ORfhkp4L4$QnB3oPAfFLG(GO47Py-EVjYwW?Xir7`uk)-R-?>@R
z*PpJUBT2jCa%Z)`B5`-BW_2F98*<hEVEzg^$`Qo+>a8XyCYaCg<WC`~#X8|>^~-2Y
zRUTa>uO@7wpPL^Tjv<-<SZ^3DE}?~+&U$Np8X%_?R|1ql1bM?q3^7<jlX9J`Wqzmw
zE^GgNIn8dwb4{4=JAV<icfRys$4DK%IruP))_p+M9l0kawHML*M@_dZ%P7#xU1ZD2
z{R}B^@D$rWyMP+WOD2rSP@rB9*UQRNhK?&E9}hGxpaBF9YFxS+Sg76ZG%0OF)mF?O
zmDVqy>y^&(%KT~&_h^g0=20hFm$<RMJHCK=i!HT0Nmhk!8jsRjBi~TzyF4mdq($^Y
z%wl9CzbfF2+8kS2f1pCVkyeSBi>RKzFi&KL3PfJyy2I`}gmzZ&*?3Zx(BsFrR6fe?
zc^NKc%zkMEWih+vX1=h5GS$R;Tq`4kb{<kk5g$XhImNP=zb~T<sk{>rR5HkFaJoG+
znLwAR)#4q$R?ssCLsqNzI5@V=PnNtiiI!dP>=YGUL%sDFP3L-*LEDb<?s?7>s$(Zk
zI}o;x#uSA+Ca@|)RX5Yrx2YLaXPA-p9PcI?IKRD-bWjOqo+i2Q9G*kR?Y|gC_x(ft
z`V3yoM=8RrZ2h?tzvt1*T8l>#y0_8WM}pJx+K6zbbJB4_ZxQY0`|G8+j|OWVUTAL=
zCPEmiVXbfe5<1#C;w!03i#;{uba%L@0FuV3-gRm#XnI_uE<TwK)7uKOx%Y_xD+Ram
zN(WX^sWXb{%v|(XTF0Nz2m%3a@Z6F1ez}ec9{a93SH2(H|I|q^EI}T8j)YAd%-lrP
z3v@eAMlfRXl}%_j&EC$I`PDmyZlOsz3Aebyn6Zg;NtWN&<Uq3R+LRv8E}HGq!R}Vf
zg1v5!=+|Gv!%rNSb5}bJR+ou)o8V)|zNnVo4!((p@s>|VeN^eN?Tb%yjyP~)Zt8?N
zA1*vZy}hj&UAYfCxKZEi-_C{Uy!_UWE0TqVRP6}AGyAb~%k%waXL+!Eo~ORy*0NBT
z<No@S8Y8AU=EM3$f)7*D9Wyp&m4yoz+Z}9FnX&yJiMg7L0@&fZ3X?2fWMC}v>#XV-
z7OYwP+>t6_A?(E*M*aI-2AVrAIOKg`!%kU-|GeiUf)Sn@#d$uEfe{apBk5#LjBz$G
zuk)K27AiJAcX=<LS-V2P9&=#>bp@`k3?(pLT-KpG`7*%z`r$zlMINmC(;s=XToQZB
zLz~$;Dg#K^VdbqsUaU<`Fmc*g8uP|Ie1<cS1-GfG)}%N5*t3buc<)6S%mbf1+WKA=
z4mkWU{$4JK9dxLbEUU$1U#@p>p7X=+dFLh5lY_!op8soJ!EAYK!t_Dyw1XV9RG7S{
zBa2~a>6hZ}KT*Jzry3A)ggmh52FTDCiet`5FRyZmB32#0;+-%@fSW=Mu`dXcm}j}I
zb4RN(rul(A<V`*iBJ<x=Dm;+F7$OtO8~w?cp!Jzx{yHTH9PuHvGRk1bBJSbxZ>nIk
zDU2G50%V|{qf`sum&HamGg7;5sA3-j4?B_fIB7RG-mW7ehrMdrVbOL`!+ciEQu!s-
z;9gsJ+M5D-4D)+fs4Yps9F!zQb(Sb#Tx?Qgr=fsFbZn~clu|IS6T1O?D;hAO5c(cU
ziJ0nXGiUw%>R9(Jfxtv@ZScu^hAnX_VU?E*iPr4uSmMb7?fV|Oz<W3D)_|EZcCd0(
zq^6#NC3uJHysgs*erx-j$wMTp-Rj)4Xb}pQrI*Ja%LveV{np`11~PVcADz<<zZxc>
z6<@<7Z3tXXvirmg$(UBwHJ9|aDwsiaVuBo=3Qm%Kuf824V?7Low>{X&ScQ0z?^OmP
z_=)z*9Z@4=?aJRdiViDcTzx{rb~Q$j!$&(V&`H7uc{yv&E6HO@u`hn$5o2hj`Q>wW
zL>cqqSn;f!mBt(oC%fH?H-;~&0~Xh_m9SD=Z`<1dajeB?Xya|6G0-Uu2K0z2VlNsz
zm>@&|v)%7FG4|LPQlr^dR$UaZjC(<W`;<8`=ach;f$qkTX=J|P9wd)7HL@Dyy6?mE
zq#hNBaTtT8>L-iufq3kp(v9Kh*m<<gN!_mLi4iD|51*9wlEFAt^S$GLqlk<s?&6%d
z5wvHqyT7uN!l<*%&igj!k&>zxEC>Fh0vhKzH+D(_%k;mO^s!<KvHmE$^MsKK__0R4
z6ZN84bhg)blQudq|0v%S7H9|?N_@MKEJB#-@-5c|W(H`KzxywH8esKgtb|M)AEp(z
zX|89+1RbZt-pslJ=zPt+6L*vwqcCr$I@K^k+4FT?IurqsjQr@lXY7~`lf)P?0S9K~
zIul<S48Z*2x1}H@W^DW;&f?Sp4w4=mI-m4aALw3paX;3e$Ht78`fRrMJSFAo8^#4a
zc;nR?v*5Rj<_H!nPIThnVw3BUCwqKfJ?)ug;I@X26v-C_hvT4?!2kKFg)ZPYD$n-e
z=TR|Jt1?a*9L(AU{xgfxft1*0ZGzn|R3NswxTS#^D&M?u>uS*k8s`wa8D9q~mQ^fM
z;LQv}1q+#X1++nHds>aZrX0~dmZ>c*#|)%9k)PWxXhD3vLH&`29^}U(*BhxDOn^%r
zE8zLK=f4g@Kg;#U5Mq5=SpOswSiCBz9+%eyngz|ciMDA(TaCXVWSt4-uT}8<dY}O_
zU-!n+=>_C$!k=&=kr`OKng;52)FJc_F~8;ZGLmMIQ8pRQ4BbCaFKu6S&@I*dar@dD
zGJc8nrztHC)B*-x%1=|k#_|Qn34={!I^<P%$_pG+t4HN|pQnIDlD(?H_!d%XbTDTt
zfCa{8i^7*?)Sx2r97jjME&}#7=1(rO!g8W(UZuYpWYwH{+qpvnvK}tP;uJP$-hLl}
z?o$JTCtF8|AsyV=F*XVQ%?_6)bwk7+szPoyP4w63eNbU4d=A^&rAjC7*w2$x;le<2
z@5(oNa36KIE@$BaEA{p*w{{g!Ie_<VCNV%@@JLzA7T2CveRVJMRe`KNe@muRMqrb-
zV?N5r19s=D6lKL!AYI~!z(GD{$aG_vmQ~^fx`U(g0_|it^VvmyWAB~$UnY6YFY&=U
z*3!GHkz`n2zu6piiWN>DX*fc==Z~wUUzAKu$WRf^?MFDk4yR|kG9FtBf{L-9MJ_8D
zQVg?f1?V|pPJ9MDW`w}b#`Nifw<LHKbe(4q#|0P86^$pn5`n>mr5zR@5}bWH`fN^y
z8;Uj76y@T@;MG<&OMyBG<X0X>H=pEz`dHiAnPhRe|M3@FE*}YK0<K={c*F~Z3mfB-
zLlV$Y_9^rx2MIK4aZ?9Z_<+;?Sz6eBDcG(%G{A)?0iT`QJ994qXjyxA_kg}M@Qgap
zL_3h+>cbY-H|v5>hs(-ljg$ed;PgDZ3KAT#bCKiU^Ii{G)1zp=EO?1_SLcb40e$Lm
z|Gt|jL{8kTnlz9DM2I1){0bTP2QS=xjT``L<L#281@e$9VxQ?eL<W=87pJv_CEzm6
z4kcGq0X!T96UyCH;FPB7;+(i7)Md+8*xx5Y6YST0!mJA8F~{|zNm5V|%u64+stDtu
zvL8P-s{-u}>9-39r9oXd??&BGWw0GN?t3;*4WeyaT>af-K)Y;WM=_oR*81T9Qb4W0
zg|yEp@IdS4YU(XnxN_z}SNAD0800Z$QtQ=$PP}JT>@gmun)m4hH<LlJ;463LKMgoT
zV%1$Ok%N#vr67{H3VcppEIV*i3nZI@lpHGM!LW)Vk$qGJxF>!skgBxd<(;45e_s+H
zJxJY}+e!r*qibR!$hzQ2<q`XRO970ZcN=ypsDS0X+Pp}K9_-FPe&()4gr}wrQ>|@e
zxE5xjAEjgfY2#z2-AzR3B`|#z)!*y!rQJUBOax}Nf1Wg!Q-pb2+v(zEWhe<!yjp()
zz!FD(J%36O>_$ptB6yTQBaE)mLBJ3aBP-FQ!;0|r{DRH#F$EaElu>->u^~hsK=C!K
zim+hx`NC$PJiN;#!7wuw>da(sE~XISw!YU5vk6&nxE^FxXh($|#aDM4rxYM9M5xl3
zDh(>vn%@@2Q9;g$%=(B!0eE_X`>$n7K()8Vaq4p_oIhOk)D}koqBV7^kRl34Dr)<2
zIaJscYHSc3l>_m+v$GO@0<e4?PGv_^!K^AT@L?t%IGRty7Kre`6TOb^LpD?hYRM63
zHI)U&qv|vd1K5GV26yo>9~GRRC}jnYOGDL#3xhlrj9^0XRHif;Lg#Awf4@Ve;Hr}p
zGv7Kb+_E@+F3@|ghtLDAk;0O2yC_|w)ngMm9ug++&teE7miOfwZiqvRLda}c=^}z#
z3$?1x1=u<Arhunk6ePH(%|ng<AQP5n*+TUJf)2)0#O#FO;&4L#Fy}Dxxo%Z5Cl7(C
zigGon9RY|;xD?L!u?tDOBwn)l-2m1IAMMIp_@Joiw^^lU0|NSIUVdRTfK%t~y=LC?
z05O+;#_UrGlD~Sz)m={?wC=R7<c@JcGWABy`4_1O5=0G*^49}YFg~?fl@p>;Y4XEr
zQ;?t=Y>WA?bwS4~j&#+U4c0ZQ<KmlMAPu#GA34@^V5qW?nUabFgZ9hSM9C@yy%O=N
z3DJS$SAJ=<5tyJ?CuVTL{R0wp3A@{PUmJ|wC082vF+htINBe+hJK{q7fwVBJ1;@LL
z>8+&b0spu1hUnL?Na<8BovgMNI6bdPN(`d|v!?gCu9H6y1^*yJt^YLP0<HIpCqlHq
zWW7Ep{Bjr}w4J(1yRHF)KMxh$`Lc^d+jD<i-TsBl;oo%GI%&ZF00030{|uLhKh=E{
z$FIHj-h17Pd);fV-?5UCRf>j?2&FQT1{zc{3yCKpm1s!H_WMTJ36-s66p8FT9{<5P
z=W{-<*ZYmRi(KLSvVrOC-uOJ|{~L=c!^FfIbsz>mrF)jVj`hBA?J@lK2fLmdmMyEV
z15XkJ`?-FsVg|~C4<v6)Vc{?s=vbf)8&B;HEcLEnu_Hw@C&g#5v-PHKN%Gp@^<ILF
zMQR1Bj@O`l-k8NEm2S*6KA^#c^!!`>S<Bd}hw)AB>3M8#B<1XwBn_HgiM95*En~{N
zG&EJ`7qK^H7t05-sBr9R%@@`E%b3Q`pr5&1E7<6hfFqg8RCsuPv?TlLGPXuq6TAUy
znB&dhm-4T*U{dGVeAmxq%+<c9#58FGv%HFLcw<^nIbN`jEpP=hv-JMvKu>@-YG23w
z+bJ+1;K(UPUB%K?hB@c$>EKPUM~AKt1^&D8dDktuHH@^%v*lb&5Ap4T0UZPi%--3$
z7y|2<dpLVs2$d0JziNwT8Iz%2k?a<iuz~SIs%O+ECb+y)a^-e}CM<mTy~fMCg=Jsa
zb!O@&3$WjP=33CC0g^UfYkzqVfLJG*?R0_-nEWF-9i%nDt%vnm+<rPZe45oa;WP*A
z$&P0qzMu|YlaD!^@}Y;Z(`PF194?4dmACpmNP>Nr1&a++8Nf1U=Cm{eFFd(ys<i1q
zf+9on`;#M#FjW#*ZD-F1^b1@af18PLDB?;Aa%P5?N;~OYOZg$^t=54YCnDr?eZ<KV
zEKp!pR8b9r@GoSc#`KpO%)h-@y7-h0PVw8P2u=vWGd*@kiJNNR#Y*+%O5gzF#iw)2
zWg?(;e(~iO12te_VjRqQ#03Fm7nPX{#UL+k(A8l>6;v)cT@f1RfkXLmv(=v^Kv{Ej
zv;C_o*qgUD2Wjy^T&Lwokc2d($gbsX)TlywTX*z<7=HNF;o6X}OBO6z__fBHRAH;L
z=+qWL5XM@cv`b{kLAL+<c$H~Y;Q4e{OYxo%G<1nlN;wqZ)RidLFS=^LN{c_}Y9|5?
zjsL{-6BS`;G4NpOBQ?m-$bL7gA_lG;n@Oc4WpEkR3@I=o0xM_k(IG_%2pk`9_UTsv
zg?$p$U5q4%HmV@STS>t%oj3zzsevP(dcb}rbr5tPPRY0>16Ss=E6`~Ye3_seD6-Ii
zvQIqS-Al5NJFzeMzO@E4o|lV{uG0k1o0Ff@4CTSUTApx3nhdvJ_0{q0qQH2dOZ!}m
z0u(KKKY9>Mf$}{E?AKhh;D7{^XaA@o1nN5s`0vqz{>*a?ba$xm;p~tS(OMZ&N*nJ#
z=A%NyUWumJ1sX(E_P+{yrUGBs-4b<5sj&aE5#8c79e8{4bC5W*8W`?&eWI&JgYWc(
zZ`lm=Aaig0J^^PUxZH^8ynLMoJ1&uOV|ff<n$zIJjyMwF!atmkrqV!EG{<{l(-8D_
zJW{XDRfh=njKwEjG?-tovyNXg26g`Nr?N>JU_mj?dOl8ty!LYe3QMNIu}A;4(@ssu
zr2M;mM1cxjmp;xFoB?o`RGOo`*94Q%>y9jfT9BvQd?sR_8PuKH>FP7D3FHVn7LO=0
zIPK#h)=8U#V0OSm_5n=@arGt?g{Z>@*YVE%4dy^4--v}UO=weLf2bv*1|xje*86u`
zfOGUnNXT~2V*Qvi17npS%Ri>c^@#;|f4tr3@J$`+J_T{HugHOKl#rftmjyhyP}s3A
zn*_r*qYebDOTwb?i=U-~7I0&M^FL#KBK#yDE82NR7+7{$-}I=nfTI?BXSE)y!mX0s
zCRXQpVeP7))zvr)2zEZJy)vf^l{ssV){ZhmdGm4gRU-@NZ|5q|peR9#pHolromK1?
ztxc({%N(r!^N-8+Qh;uwti;69Usz_Csfo3>If(j;UYtmmgFM5$t(n7xxV}TG+PS}G
zFuk6vZ1qkCVs_oK`J6q9JLdI(QGglz_-4#`^ME8oG=BQ@)NvM%xYW#;KLuc5B|IOf
zAO<h;&o^rKE#WeS)-p`n_gC~+Qk;|(24e4Obu?PTQILpa>2D0i+VX{M_6fjHs?FRl
z`%PS)^3>(fqA6U8QDJ(9^Fmm6btl%gh3mPTJub*)3Yk^QC!6ayp~d5$$~Z<q!(1;3
z$J9;0MIwF2;3ZZ_lTL4(vmv10llMbi_8EgM{X_1(4;W#~_t2xek_5!xt<QsBHv${0
zkg%ijbYO3!%xssug$HvyJf&A<2ohxxb|LKRnDp(Q7Xr1L_=>p6%{?0iP~YR^wRC9_
zyS;R#Uv^*vH|ObXiMBKVRJiFp5Icii{SfQ4HNTEOY5h;h|BgPShKhtcIsd_iU!}yZ
zh_2(mPETMlzx2S=PU!8P_#rHWp|pK??;5`OozXBH^gt_j=SgJOg>m`M7Pq`u#UoBf
zr2Wm(h2Bo{g?|1z?6_RWt`zlEobSnAVl<;J5YEkwcpi7brqpTafnQhfMjb9E<^Ua7
zv9EMr^sU7|x4pi2FmDCtXESA@_G^Q6rc8S7?GF5MSDckw{t8}m3oGfg(}wkQ%G{si
zUOd!It$Lwv1uwoY;?Ve!234lB7Y?iq;wAbe{~4RE;&Er3%}0R-ui7S}TYN`w^8N5~
z#g0{+cqXus15v?y{1aW_<KMW!rqe)X+8Vwh6}(Tuf(oAfZXvg;{@`g<?#&f<*6|lF
z^rS?Zw4k9)Bpk1v#9t3(%htc&z~8*ln&{l81xK$tmUJGR#<M?2svS|;!YTO+Tl<G8
zP%?4MeY$f7=e4|jqS}*yiu~o(6GJG_#E*4LxX$4NAw4^G+tZ=a!-AZV925{ZD7!1_
z*E~*QIe4MvAU#UZ%;<62MTP=K?=IEri#X|yS;Iy&1M+W)eybLx3GPeN&qj2YaaPS@
z;>b5fv_dhi$f?(WtWS>0F$}AC$OF68b{l3y=hfBphff0@S5@jyO|9YgW_c6+Mp;lr
zRPuMsYrE%*KT4K2Ht@p2Yfg^~*w9ZotYfa41XX$Rem&v@^!C$fmbNSowC|x%#c6pG
z=-RhK{vJBCDEV3`@go;{d-=any#ykJu$?}vnof^uN&ZLA^75i}srsa8CL+8z?V(9w
zU_@4CG+nMkd`Q8?;^wg%YVf{1yX50-Cd8tqV>J1JA7x9(J&qPsgWrL|yrOz6sMMv6
z|AvDg`gyKC=-NwF(A;lu;~Fa)QqA%>bBZ90xJ5-4@cpXbVQ>03iGc$Jr?@?}>JmY%
zeHz(g+^WF3ukH9Ui3=^QG-sA}iJ_5a#(8VqDsbey6aSqk9yC&Jh96;+L_<R~H|G)+
z5G_#EC$aOPJ61R4GmlE6a_9JaRnJwxvpGabDS#h2Cq%B+g~+1M?O(5lRI0$dEo)2h
zv;Yc|bLi;*Du>!%j#yj$QGscp9Lk5gLP#t?L?UpH0_yqGz;@G66;yRz7z?_JARnD@
z!oeSkh@*6(OuI-GzR}n!WX;789!h)s_?9x_)~{|G+^+_AZ<R`{+e@Hc*};h8yHruy
zly5+pCJ{y?o)^enlS1d(m`jdI6Hyo;h%Nv~;JsB(GU<~+lHL{ll>~KUseSJl^Idgd
z*y)rLM3O_<ew%M!{?S08h+y?VLlcY-vb`<{lSiz5Q@o;I$cVD_?*7H?KQyS~N@wm=
zK)H1mcVxRLi0RMS<WQm(l<v2;HZoB{Dby<kU*BmVAGQ>s-ViDbxny;<<SV1W?*#$O
zkyP~XpLoK_sqNk!ubKNTs)`)tA71EJrJ>^M*h|^FI*?la%iSST4Rt&d;eY&uh6;3}
zgs-^k!ATa6uoK-xbb~QzEO?5BsE?kuQydI{J*qP2u!uUUwo^FBx=2IucCTtvT#P_G
zvrh9ORRf9M4&TvVOhXZZQindDGy#F+ty`7Sn&>%5b$Te#kl{s(=c1P}m^i0C6WXqc
zmMw=Fq<2t}nU<vI*9w5cm1#4&W@OYi=5--VTnkN@v{9HJn}NwC=Z*w#GV-Y9HRRe)
zMz`pb@A#cH2Zy7z9lwpq=oz}bPm^68ksdtQ^-|0NEWcLpZ`5ca&yR-|O@dU>&WYy^
zxoH-#wN&v=dQAhBgf_;DmMEg$b_M^M2@62JLiboE)X~n%gL&`QWKksMYybk5Abzre
z;E_Q>O_y8*Q|rZ%+DLtVC!ZxKaDHl~7a<}AnhlSrh#<Pwx12!xYXRz-@3?sVR8jcw
z{x$(=PNcaNMYPDX0LeMUBYfG)XtnF<q1gmF^xkv4DcIHm268{}t2HR1*jwC1G8!}Z
z6!lt#=nr!ca_hPh^hX|@f5$32RaS#*A9dS1e%u^lAIAw~@X4Xu#PZk;<zeh@O_2D9
zQ8Sn`YKkzqEsf;5G4`eYS?oB?h&A5R4D_2q%A&<2kfg*do%X&J>~($LdHo*%{8M8Y
zySDq;)UbyZ{bv)izAD7ucLcy~Zhsu!B#3_X@N-5|=pZID(W(%~Ak)iEIdX{)akA5K
zS?r{T>msed(qam{-%0pF6*uy1WD$BlNDnNc`tAuoO(4D1^%A0EM-g^E>>b4z!1-!9
z-%WxE*nS{h<tt%AJRByeL7WWmZJ@`$Rn-_&j%7DK=%z#a?uk3gw9$jlkNh_b2aUk@
zv#t1Pd>yYVx)5V<jvgfLP@SILHH7iY)a?7W7ICS&Of%wK^q_jcQcnAu0SwJo4Bp?G
z#t*xiz7lyz2epI!bYjv5Ae!!#{X=dHXFZ-exTQx2#8Vp=zn;>EcVCs3I*PyJB8vA;
zCif9w{Ay?aRIMIdFQ9U!DYW7b$_;l<B@jT|E^2v0Mh^<Ttag9sPQrnYX{pPF0BYsk
z{*SNdLe`|zx=(E##?rZ`Ld<{w3Usy`DPua2qbKUZnbV0q?N(tarxM`U^^)7M`*grp
z@ZHi6zd_8h^s@}jngC_xJH9%6)P~6jzVU}bqgedRTuN3b0X&!-Op6V*;n3cLEd}1=
z7}JVE$M+8e@S=QdNGztoUslz*yt9*7oJ{Ua5t$Ac>Or-EN`n~VBzouEY0PU^5NA&*
z9hm!ON?N?7g8274ht<MoF?wEuK1mOHu;Q>G%otI@L))81Z#R#1l(XMCp~e8Dgq6hl
zIxTq9`8a?{Vi6Pm=aJja&j_a^Yo}|RwIKEko;NbFggIzOu{@Gy0)f-#zK@Pk!2XG+
z`CQ!!_N{%$@3<ZFHn-|48AeiIVDj~QqoOq|Pg>;t=pz<z9XMv$E<u5VQ@DBZn+@!1
z!ps3fIW{<(dLlO_lnkMww?DmZ+rn!72-$TF>~MJQrC~7A1i!P-bRV$LfrJ<ROOpqj
zpm}&)sfu3{R(QDP{0!-VO!;f^D4QE{Nb!UH0U98yS8+P?8Uwgw*<?RH$qS~3_9mX#
z=IMF06cvSEjPQ>Va$({TA1pWyHH%oQLuvl($rZ0{-*lJhytm8`r)^p^n?8`>YYN?v
zAp<M4aIyZbJ}C$p0?%9H>`5Rf%N`{4feqN`SJLC?g(1mDDf`J75$umF1<mJkK&Ily
zN~}@@1gy{Wr6v)9|6=hmas?M;)LfI||4$6+ex+Nh+7f|zjl0NsnFo?L^&gRQCE)en
zouTK%iJ;f~=+G9G4_JzA2JUrAK@xHQe=D16;Cdz9f9M)N>~ZkH!^LHxb>mca(z+T@
z-gWJ`KfTSv=e^JFahHQvKjM26g^4g=`*!-v1tEC9plY*GDGvh1vb#Py5Fxe8&O|~{
z1YVBU54cbiL8{ScBm5N+l(OTgWs{=Nud&BHs!RzqyS{iO>5+htaiuuDTO91zRrh}0
zuL3WGQJd`)35NKNT~ZsBgg}p!(f}qkz!LfPo$OHu@H`nSB_IP|<W6;3yeEQ?KV8t=
zrUtawt^CX>l!dhW{vHX})#1V4x70;1GPHzVpv(Ow2f_CQ_7zxb!d3S5A2~NE(3kec
z`h}VToZvkb=1rhLxM#LX_;oG#*eEZzaZV9l9_*%0wNv0K@zB26r`z24D6gcwNeP1Q
z+tLh@w17yv+Wmcw2GZ4y)ZMZwKs~YRFN^LrcN*RGD)iBT<SVzUT+gb)>s@EKol2;n
zC?oK6lAs55H!@SJ->Jb5k!P)C95jevlh0}{*N4e*$90wMoR5!x<f0L2FmsJDZXnJO
z;`}q_0@g`Tu##`n!%l;gi!iZ#+8BIC=cL!h)gfU`s()yEzO}>39Nzm(;qpg;#@$af
z;33OXn>(9YK$Y`-qbCdy-BV?rNz#P=1=~GqJX+uu&61)v5Af%8;du6GO?d8$arf7d
z;W~-`fqA7FG*a7h6aqA1zE@<WZdo1PSXD>F`j`XHvx?MvikfhKTK;NjpBnJE#D~RB
zn}eF|p+kOmHK5DF`9@@nGVHh#w_dl`0w%_Fi`c8x;pNVW@7+oY@Z)!UD}AB`jIaHp
zf0j=I&BE7tCFwFiV07<-Z9ffW$w`0bK?HX(MYAFUF~Czyg9GkcfS=#TP5nt#I4fm+
zsBhcPd?Vt>zfM^I!N{<M-9-gljE|}433Gzj^$^isRSP)Mt++1#LJ24b|A~zC(Sw=E
z!JwMY<}miDM{aRZ0nRw^KJw*Q#IDYleH+={%aBrgVZ&4&h-Qy343LJf$HZ{k%>^@{
zdg(X##L2?Vq8sdTzHjk~5lJ$CxEUns9+Vkwmx2V+FR%IeA$+|zxYdQh3|wAZO09e$
z4xSm!JL9l_c-!BCpH?>k1nJ^q1mB53q%S5eCoqq5@CYwG;07@Hqna)@EeK1!GRkAp
zOZc}l(GQi$7_3)x6YAag!KlBOd4**K2luUo25VE$ncFdL#=r|_Ytl1DI9BmbNego`
zJ|+;cKl+tlIS16{VPRDFRea7}jB!4}7}nuhuU#h#h}e_a+^DPg{O?KWPq-08ch#%J
zI5UFMQk##>wwJwPbEvmkGK3DU(AQQ}IyhK6^L%!28E?uo>|@b2g!~uuLCwwUSX>O@
zs`bJWUJrwrFE1JZN1EW``;H~7+dx2NYk3j>mKzY#Uat@Lni|L1{pYai#(vF{YYTYD
z4!R6>aea8UG@@6``43|%eDTtRbpgL+m$kWiRu2xF<+9z;7{m5`IX+KPoyRG)HgdL~
zb%CB#@JvE_2pg@qke1*vhmXAZmRG2y3y|+#6cN*dU73sw7%rW~Lk07dN78gafaOKE
zjz}A(=owm1)tbfEgDXzvGwQ&@DP;xc{%VXjc6vIbWd>(tS$xqNtPPN(uEd#k23wPD
zX8mz{20wi#BT0Uo23ubm@$b*e@Xt=~jK$8(;Bo&_9WQ&(K;T8_@zBu*oV6)4@KV?e
z?te^hrhI@3H`3!Ds?N6KkGmtudU-Rr`QOZ>iX&9`?_R^^E5<H-p26Si%=!$j7o9%l
z`BMvWPwg+<tm(r|`LxqL&&}e*RR6E{PH4e;$UDATxj{VT8nN!I@EpDwd6>s?jsoU+
zYFnOrhVV!>yI;lwb9iLi-;KRjD6pgIh+osG5&T=G@uBC<^Z2F12UFkiQ{eiOhrw@d
z|HAVk_1ZUv7VsTZH@w`A40{)+$TqLW@XCd2Ct4Mka1;9!?yzu8_|C;^vvcqd{?4iT
zmBQU+{EU&KSZc8b@c&@bmsXy{r_v?If+(wal^h)_^Nc#Q3is2o-28_hu(>z)Vr$zw
zS>uOlY3gvE@V+CNc?N%P_f6M~aTBNAmAce%i3F<b!v(Hxv$$RQ&vt$}0xBgw%P?sn
zLU=51-*W35-l%$+dDe{%t)0RBB;<)8@;8Q4_wWKP*G%)auck+D{LOXa!_|OmKS^kl
zZ3!n2Hyz+IXGGZ_OA_jSszPh2+GJq=GHx|Gw{>ii39WK`9b~dqg<o%?JeImvanWX<
z7o)W-$US{;bas^r$Z<=C8PaXwCL&j6t~RovR@a#rW<3?qWA43Veq;+@8nxh#r{_er
z>b5e~rOJT!h@pyQ0y<_PiB$!0qx$G){{k(PLGIgudz~Ki2#N~s3nlR)ir~3ROI=FP
zpp)}nXp#YS%)Rx?XX8ijOA8<D2~`4vlM=JN515cccVOzRCj#iePMbro<dwit@6B9&
zC=05*&pur5Cxkk06kFWyQ-oYM5jQ-X4f#&c)u(OyrNH-hUY(B=LE5!=YUmvYDw?8H
zVCTfpg#Fe=++{_$^||yxydpP}b-7ZxS}TE`zyC1l<gW-hwH;Y1-n{6tlUwhwl{CuJ
z`tnNqj3Q*x9Z&V`;X|av!L(x$vZ&Zr=w^F@BFuX2iS!K+Ky80ZMMIY5(A)<DKHpYF
zSfTS}KCdE#^eT^94aO^=WqhS~lA;6!g`KT6%p%D4qvn~9=1QpkZ`8U#l@f@I2={1n
zi=leWkSC`ERFL9A^;y?2W$-?^`<*Q&f$r^2w%puQMTa)`RWh7X0r|DL*T2%GkhyQI
zj1)ZyO&_^-kMp4_q||h!UE-BRo<18pqD3?i+tYx;g>9Zmd&(gycR~&kjKr+(>5&nE
zR1*{Siv;4&53SF3$Rj#8b<*Dg3OapU?glr9CXji4mPOhrqT#1!8ExKbA-jU?N1{6^
zAQv~(D&D1pnnsfuEM8GjkCv=UNtG5vLx*~Xj|z%6grVRB8dB5zkd*2}gYV|Y4Ru#k
z5%FHjqY)czlw8!(`_NJc?yn8GyI&)s%H&?Q%kA3e#FYDZse>NGbSx)*TO*;G&nBWj
zM0L>n0HAVRH-JG?uC=!P8ffwKQJzEr9h9eXmHBCh5p3cSDDs9T+E_Oo2rAJ=uCW3U
z$JI?C+0LuKJd%tG`!1KA*rcK1%*4P3Qvh`9py#4E1ugA-E>iWIiV{PWQ+Qm=;HVzo
z5m7q|qH_11Rt?iaYM&eRTKAhnYAE;JB4-K;T)H4LahZ%1jud%RQ7j;Bhsd*7G6hYE
zw@P@Vl2ByR;pxHw3z*N;s#GW;BmL`3!%f@w;1a9;bJfKXK8SoUsV&h&_IHgr!sHZC
zd&)K2ge*(QIIWm$?yG_99vZE^{V9d=ME7#%6<Y%9aOsw27YTW-I!7t33L)A0Gv&Ac
zvxK&1#$7vji0H6>7vr}CF4S5Us>$qT34_9|Zg#S&X!eWgIniMPy7fU~?+n2bbjuz+
zUldhF(GAaaKJ6UCGl|ODJL9(fcZu%HBC{fL8S6j)gsTf%6#DO90J{aOw1%;tSd>GT
z{DQ7?E6!tKwmwx=;pTAXb(T`=kPI66sipIH?-ph}>m_9S&kTZn=IKYbB+&X!cgxlR
z2C(Qtep5%yz{<}Ro3<B4G6Ey7H%6IZ<)M#>^A~{1taXgBPY}&{fr8QsD@1S)Uo_bb
z5c}G<_wQpqBxLcQ&u<%c$lJTpvpWfc`TBP)!N<AKV@yxnfQbXzq-*UM(oDfFBlc4U
zJ?nOkUsPHgIp8(v?3=oL6ZmS-z5A^U1CsDO|3Suq0~lg`DzHXl$at1`&HdB{e)r?~
zL$l%>u=wQBt+rVssCYGOb1Py2zrI^EWVD_gg8$l#mMR+o$&q#0qTw%|roDQLc7h#h
z4#^%Rdl|y&k2^2icn5K&(Jme@Hg;f>KWTP0-vEN$^2}G?*WeL%Ue?dPWrI(s`E&EK
zK9t|y`<t@-5feSaDLER#2BdcE_d`2<_#^v6sM~A+OLo+q-fhnYgLY-9Ckpgnszyy%
zxBnN`l)7$Pw1W*+ElLLpx%D9FYLXa_(-iiSufzMoQ8sw5UF0o!UKhmA2u2$x&0^<0
z)+UJmvBCb#m#yx<bznR(O8Md21<cEBKIi2o8`#vLZp*_u5O})+Bjhe)Z7mx%H*c~7
z=U8QZW~Vkd2;6s-@?FCce=dft8*+fa?~E;{{o26EwZFH5cN6=2)JT{n!U@bAxm!+s
zG?>g{PVaXj0Qv9DG)HMJC^@~O^1tIWQ1fjo=eth_f2h0d5*)c9jq8i6;Q|$2t#7U5
z{h){C6PCv<i+I3%$b5%+3>EOqH}qRXMhG!i(qDbZ3k=D2ueubeFm5g%t`WfmkE3Ew
z60h(9buXtA>7y2)pKb?*2bqDP{RVn^fgkEP8?!I@Ye9hX6i<L7E7&STe~ye70J}MB
zO9@deAS>O;{?N$=)~0!`eN}>BQ<n4dL^B06{6F!<1#v)~<Iem4*n~lJdAC(x6a}`p
z92pfzTo73<szMhm0<?oI&70N~2t>WQtppypl7Exnyder^#UK>6%@1qb1@C@d<OMw1
zPC@ahI0UO?4v4gn!9NAmlWy?=^PL=?m_SK*9m8Hmxj_c&(dyZye17Q9=<y72mxeJt
zCNm2cGSKDPDn|blfGxgEhhlwM_<40o=%E=I`jS@Gk~D>Y=DL*L>LdpTqRQfbS&?Bj
z(dxjSyTUNO>#3_vxIEZ+H(X#jL53?y8dW8{q7ceUXBJVe0J~QTCoK!eklfJW6Z=#Q
zv^VycSu!gD=QEejscaOGdUom?$wdOn%=&-U990JHF&?@`M+)5iQWFs=F9rVt00960
z43~#Lm2Viv?LD*ic5sg4*xPfPrKFIMGE&J*R%Q_)WhYUo&@c)Wit@f9G_0g3BeHk+
zk*uHp;JL5+ey;E58yn2?%D#yJv$PNWbt)(@s`@=`kX`~@UX~qnp(sLVLa58EyefDM
zC%c`CkpyYN)OV44N<iSIZXBpl1r@@B+j&V+U_Db6cZG!n&g5Hly{FW`pmcfWU9L1B
z+U{m$A7zj`-SOdwiaHz$`Q>q^QU=sb!~bf&B12^7V{cPI4e*zG8l~7K3%*VYQqB`9
z!1TdpwMRk|*c@v3$|mLDo=etNW+(;Pq&ET$&9xwt!}5Cmjy%vC%uf~$Qb01;(akGC
z8`?y4+g`CLfckvW+iW>i&|39UZyVBqAK_*W^enscq<YJ_n5)9$eJmfetn{Eeb6+a+
zA4Lc<;UGNIQ3XEH!n%egeF*y=Z$ewA1Q}%R>BtQVkj<(0FM}cIo^0vXb0<QQzBAAD
zYZTCuoc3j`F@h$zNq=U52)$U1ds~+ZRI=Ar=x_kk#nVjjD3Rbw16_<Mi42eNu2W_&
z0N4Z*H~CFTK)7gO(@!D6kDGeZ#pcG)K7Ft5mmCSsnx{IynpXs-I>!Oo24m1WvL*Je
ziwN63%R!Z41PJtav^PoG1hO*SZ5a0vp{<U|VeGdoWIPzxUGg-6+NTVQQ`eLruG*QC
z-a;A(FZ9ljr<;IGOfa`|fg;2_Q%<$<lz_^@ig3ex6Ictr?OT?i03Y)soLi!W;jTdV
z$E6GtSeT%tlXWM+qB1G^$}AsX!tZi_`kO%Xj^VRJL3uc~<rkFM$_-4;q!>FL6BwX<
zBl8rK1zyD~-)<VRLC-bsfSEtWkhI_LwxEj)P{e(5rKjj2pv5a)_MS0N6}_^l_$LLW
zbo4n38B}m9<mp)hQ)7_mo4%TOTM`)ihIBg||03a#+k>pb0QD35+G4JW!&XUZys6b6
z<kH4{d@TYX(5xzmc0&Y8!ZQfuf(i65U9oC*55PQQ$+`7wLU3`I1LN%*M7aTeemzGJ
z#1h!dH%$Z}EdQ@VfMPdt>bSiwdc_FpnN+gbW%%HxW%9<eg=W+}0!<dL3?Y-5udPFw
z2k7q+*1hcCpv~!a|1%2)a5p)Vqrrn4(hsG?WoK6*Kfan&C87b0b@=y9CUL^c@JsIA
z(KV<b_-Xa3k3Mh<75+%M%LXAY?ZsThaP%RGW#(_C9!R&Pm5b4^0I}ImL_oF$jcuyj
z(A(05)GOuoSD!ON(7;jJHla>r^Ml#r=|Nq1Wu<C$poAWzQVk}J&h(%~-MChbLLK1C
zzwC8?loqT$%1b>r|A|iRYcDC=(uTjTH)E@g)4<`P&|2#cztFMS?!R-#wL#afQ|=Qx
zHT*sDZfsU?6bT%nJnq7^z?WXF`oZ`P61ZTR5tlT9P9>#WRa4Xgr7~yTCGKq`FOe>k
zzGnt~ZD#P8&(?(A3s?G5vo}#QSFPT?m-Fb->GHsF22Ds*86v8CZy*LSsbe16e~|aY
zf%2V54M<nwH#~OrA6ho7&d!rsMk0!%-=zOjhx6r}xu$dLDC&fU&W!MX=umx!k3pb1
z%n<g^FQ>1g%IQjGdigc9j|HnRSXP67-pyCl0@hJl*;QUmi*<CmE}>i?Oby(!<16A5
z*HLI}0N>$D8|csd9NYI)YH;bGPzmAdI#Q2P+$!kVLVmIZH;q$N!6YkPmgUGl<mcvV
zwIWXipHfqMuZyVybD&M|d-@F&Q`6V@Ae0)m+s>MnRZ^hC`}Cfi$qjU_+W*Jhei}Fc
zlkO#!6!@x9eDB!iCfcAoZ#Cph2mc*9S+4R)1w_`AZ^s*Nqnm-ho730mp<>WARghH$
zjuc%V6??sdE^G|odtNX?mQiQ7wH+C@W3n0Do>M{5w}MAo8O&h&&$UUmNEs+^H4Q8a
zslkkRcv0pSE2svs+@;wj0o7LNPGJQNygn6Np7ntp7F??jdApO~am|w~j(%Dg6bXz!
zz{dry3boT4?L^RaC?fh0=)pb(3+r>`hGA^3A!08Pf&%r%25&F`v9083SMwh5CKm^E
ze^P?CREKOk<(a^@F=DLPiWiQl%6*bPp#(JE7j(vkn88(CKYnVN4>p5IU*2vig6yUf
z$Id%ec>cRWP7)IU4(j-qdS!~BMwgqf+070d-WGG;D}*4z{_oESKSj_uSe7`!%moUJ
zjfXFP5&^1L^K(@uityjTBV=JSZdkG}{dt009B3<au3RB2f@pwe%3|&wK(TfiiYAia
znyshvM_myns8y5Y*?GZ^`lsLTOev@g`JfqbR1sb_Q!#tq<Ab|0=I2y4q#@~_iHlsG
zA}~0vOljK+fLqmvk)IK=;I}}neVJAXj?Dzq|B@GiFaCv@blmb_>6+wOmZJn>q91n5
z#YN!S)rr`jbp){feE*i&aUvWHeg3UkM+~GUbdH=2Q-m_(f$ZZBBxw2_Xigg{0nN*Y
zpCA(=yy*XtW|O82m+E)gY^EiFB+8kq$)gNm69zG<EGqEWZm$KiqBO{vKRChtn+$hi
zkI3Hgq(JLWodCfQ8L;ge>3L{J0fzjrUX$~xVCcon8uv*Sdc%wU1S+ZmyVjc)^&&N>
zJ3VHrryvgpd&3WC&8UL^H_Dm@wFW44tgLNaA;9zn+0SC>YS0zcx&K0<CakLQ=I<X=
zfHk2Z%@huG$UN*T#;>6bF9zPNpHNhSfqAWu500xtOt$^`ht#^D_v8`3lglm#YZ?>h
z1Jpq!PpN2lLJ!VNOcRrWNN_oBti;Py9kdr~cW(bQfa5(T%iS)@;9)HBBcxpo0<+dX
zZnqnO5bK$!WBg>8B~QtZaH;`5>+3D%1n~QAR)Aav8A@%Vsw<dPLD{?N_#r)Gcw*V6
zG}A%`rI6pXqwy->JxXrgp)r9vb1wUaDl&LF=4;9(lOQ$ib-84j3CKTWig@TqhCy<e
zI2$NJ@9XEeE)-Kxaxj=}tW<{ecg*C?7CAUtcB$n4byKk6SM@#jo&<Lq*lg3xq=8TF
z>5L(63Z68*?H}@ppuxeMij|20`D+Ekug|9NsUo<QsILSLeM0ynH33Mm?Q|5cHih_8
z4pOHo6+lqj*RjBy8w5Pw*iFZnf_7cXooOZlM9!^ha?&wD%ihMV88uUo9avA1JSYeH
zY?R{o-Yuk`ACNcQWdh%lSM;AJ$pDGx_K1e$91<|5ZaCs$0`-i(HZt#}pw}ZueK-+E
zErvHvF3uQ3@lLl@5{o1lDD5Ei&>_qtQ*x^EoH4xqa*)tfFA6u=my<p-EnrWCb7Eio
z0T?<Lc;a%#?mraoSO1{?A4ce^WHSxk&EG%dx8V(buylV#ono+#NuPN1;NKqvujg#8
zr+(srgazL5<e3eOz9Q=U05t-Ls*dZ_<p!R#?72?~TiEc^2B)(^Mvxygv!;l#!|bKL
z4iT$ujQV>+sH(0ZbYxnl(1tO?ggVc_?SO5Jp9U=*cQ*jG;+cTMdGr8e)$kq3ZLFsw
z&Zj9u9}+a{wjM~*0E6(0c=F{fj5e{YnD?U|s0_OlE;4PSVue3>qR%%mritOz5oSHO
zXjor&H2N?4`_lN`i`EV7xuigS-C<q$ly^HNI&B$Io#H?Iw)Y?AA@hZbl&=F+P1+pS
z-R4mq`~GWh7S}P8bD>l%f3zXZ0*lIhFpkczGTwSAvW~4N2N@|I&<0N9cLj~fLnzQu
zTjIO>U+h!8>x=bbE%+nhX3y*1jTUclCyRVo!z7f&#-`Y{Ad&I?>vM7q$S!t-4Yyyz
za<y+9sS4EuH+MN+6WR=HU3Vn7nq>`p`P}-Z<fsPNSkkeNcs63v=B%6BQ>&P6_OjJq
zdky%?TTreP+l3LMxkHv$R<Y4j3JP4G)gj4+^}Wd5UM&5e7uyxm8umG7Ys1(=9U==)
zd}~x3!er9!KljgA!?NejZ1^^*LDA>wcHY7fOhDCkkBjVIEa`!WaEOH(oR#;xWScmK
z5%?uB-toVfDC4c0CZAQI<n4CpP3uXFI?{qa?)y4+AzGlc!Cn=%H1B-=N;iWwec=}v
zT>po4o-6hk8KD3hoq?oe)g1QE+h%{I^(JP=a5Lvt5Ctld&PGmYEMk$G*9+&qZ(+G|
z-|6}pDZpDw@;!F*4>sQ8Cb62cgV}^-2-_eP$OPfSG}>kCE>ru7o>nTHaWS5>6+(sp
z6`u&M*cGg}p;k(Flp6QzToY`0p$z^K$*&LbtYY6@F%(Hj(&BC0@5SH$CBe{Oz=OK_
zHLTEU&G6erI$U9{HC@=81h&Hr+HHyJSghJllX)5joKwnta{U$&V*9;1`GYpFmKF0m
zN6Hy-`O9?sAFn9w-r?++&6O?8+ws`O{zPW{K)HK*q@xn}mPAPSHtt|f9tY3*rn2H+
zw;nD`H0|=s+U&ih5H-F!%=q(JD?1*>eeGa`o+9W-drwLF(%?#Q(v_-WT=)Ri<vH?N
z0T#@JBxMF@@zZth1%!jS@jE>UlWV35&{X)9-SZqhuBvmpD{W>EZcwa{)X+zO7Zdv;
zH02p_hq>At+6lb)Q|G)B(NP58^^c=trQdzuS3~kw3x3>6#y6})nE>Tiye4xvS@GPv
z(^~ozL43btaUaiuJZuCTD8030$7lPUADfvA;}ZuWJNn<r!;g!<_9oPD;xQD)>K93(
zxS!ebozzl!aFvcEq>;Jt{2exSfh}=-e=#Bv%H*MkV<*`4-X6Sv$btIM7fIY*XWu@B
zR(WVu)$2Gw;l+jAUULS3G=AtKSL7pF0&ucaB-{Vy!_U2CUAO!ogVQwH5{`Nh-~wj5
ze5h6cznCk?p6e@zV=dq7Zp;#3eDphgL$wfIa`fRKC=&44+X?gD4;4UI^5fd8J`r5$
zjm=($Ed{((q_H9Hh9bzv-4M7ZBaSb-I_@<bRl;dpUF-HVD8c(SC;xRzNnF_DewJ?^
z3I8!&wZA}(1gA{mj>X)N!t1(Uo}Kwh#*0-riSHJbLCfgS^Y;tV__&0InDH43?wrGR
z&4QW&cTTYSX*tQ_=Gk<6Qk_)stIE>sJ6fvHY458b+$M+P_M`W$4b<@H*ZW^4-BtrS
z9(Vk-1pzk@aaY--Q^$`AXMA*0(SWnHkvDJEE8sOhzc_b2QOC8)B&k~#HDQ2peD$fa
z624TCvt=x*fh)*+HG2Nk2D|+eMas!U-1c5+U7ei<UgamykTIbPmlSvIp7}t+r>zBr
z%gr=!3;L*Fb`}FTSD<#ee@GessM<2xF|LjyJ3&81jop5JII=O-K*j@4GZdZCRL8##
z6o$(y0r=k7SWiEtf;Tkl_k~f^@KB%a6W58x@TKn6!s&VyoSvu@5jQ}=(|lNX;&@Hq
zBK_y!uvQhkr7-6zUm6*=S~E>m=r`H*s87fEE~(%Qc1I3jn@YG}_!_5Qq$wP~^=J}}
zka44jTl0sN2za%dmvz^iDVSHSC4Kx)8Gmx&4O0)u;LjMWCO@j0fuH<VHB$o#zt1(U
z_NhZ0|EuFt`(~dRcnS`kCs-5lRMLJ{x_AM+fmXIYS<4LCqun(uixqKSN27S^uUz<k
zDkqN#Dl;hR3nL~E5%AuGJ3_H7^myV+VrASjQ%Kqg;^f+v!#mczjbsGYuypyBSxXC3
z_(fjI1a4WJSMU{Gf6sT!pQ+ynYd3+t;-j(3veNkGqf;wvzlRXdCiXn{pb4l_F9_*@
zBp&E_|3KW@5{lX5W1rk&495?&mrwSI;-P$Ov!`4(kn=4TQ#CM#*h}&iDsDpfGx-pa
z+GZ*Ux6;qotOdxMD>!^ygdguLs(12PqJey5ljEulAa-$wbeW3>Uz#Qf<+;*<jd8SY
z-gyL7rdjMn6D~aZ(_MRQ?Onev5@RM`Gy>fE<-vRItaxJiwNm!G^l(Otb!+~HAviF|
z8r`U7z{T}EUGmE5K|UpCq^rsRuD!MT5q^;dKX-0$)iQ}5eCuT<BY)`wVe*O8v(sA`
zKZSIBPM;of&usiX&8rW*El)hTZ>?f-R;x;uKk1;)aXI0?!+N0Sp6?YHw}|B?f4^QD
zL<dm|uQ#t}>jIrq<C6{2I7VdAd=kY;2aj%vEo2YtfWr4NJ*k~u?7XCrT4OaW)C(4V
zP0-K*LHTbj8NchX*5PWyymPc5<(O7JmZA+!7dN;bPS+zIyQZuhBU<pp?_vAqv;ay^
zGf?t+&<7<Af((HccDg$0kJ@Sh`H1xyYp!8*NVE9|PNaqVLh1_d-e^Ki>F@lYcjL&J
zizH%gO$*g=A$*5Onvm+=JVd)SgZS?s9neUpg|)Pjhac~2Kq!liPm|9gVySk&oV`Q~
zkLwFhunTKIzIn#qz86af%^+H@P&#01?D1O9QHKT22ebIE6%;+jbpMVhJ=C*E{0tXX
zhf^MBXrFJaqAn8~d4+L$I6dpBc=>@ETyJ>uSBrfeC4MM<E%B8Bq&y#QvMZ~>Rm!n#
zW3dfHTX1@$VS*8UZu{v=y;TMB{#iS7^({nZ{u6Uqni)3pcTTk0r~-CGIcWdU9kfq&
zOM)kX1xV3v>4jz}fLBJT#_!&lsJ7F_Szb0+`_bN~c9jB`kM{X(&QrrY@1r@qgB=Q%
zol1d30ohAW|5fegc+w}<=0PndSjsSdTz;YgvYmMxZM%DoKbkx+JHrL(du+1z(W$_C
z#|Xo*Z}cF2uSyE|_JI4agE+~D4B2nNAk3B#;^+C+{yWA4#RAeP0fWjQa8%~vff**C
z?{<FMQ_l+r4ni=Gt1<|&%`MRuvA_Z2;odqEe)w|T%G_+81P7W&7=K-2gNnYWjkHMt
zXjd7`^hqIs$@Ty>=`si0oVWj={agsjR2=x!jYvRWFMU|TfeU=rh-2{&MBw@fqJ1h2
z37!YibH0w_1}n9CL$Oz4P@l%x(AZA|rv)d+>#ciWZ-<H5@ihq`G}pI<bP$2fFQ`_N
zzzf@T;!S)MDX_mxA745^go3NrOmrXcfoksH^|Rs9usw45#&;GH2;4IDSke}N$VnbH
zr|&Y*7j0D7e~biEcjKlm&I-cay$MWomU2Lod1#C63kmq27ZZyxVF;J2&}jNB4{Wrw
zHZmc~@XGmT+0#l<IAOWMv*W4&eAM%Hs+MFpc_J#`?439~Y}ikj-ByI9Imn8!Qvu=g
ztqhW3lCYBOFyL53gwK2QQYx${umxknHFu<7k-EFa&r%uOzi?D8a;k#vy+tEZn>18s
z|0{|dBg6h^gBMl*se-4ua0(5hER5z^w9aW!!1gJXY{8BiRD52(H(((LZY#l$SEngZ
z8d4p4fvf>zD|qVJBzX|gT7FlMs0ua*S@Y^*H9@90HqWA&0RE-Z5$yD8@H<=E&}mHz
zCW@zz^ZZi)s%JehRL;9iIPtr{{F)9tI<s6KCaMH_Cqs84Vt08dKN_#Etp_vGQ$B8T
zMEH-~Ztr?t4L*L1XU<>J2b56aYsN+bLh9oVJvlYVH$G*b^V|@!heNybTS=hXLNesa
zQw5RcsEt@}1X(P1ID>4J;Y_TJ8GR=OCK)>vY!Uz(8?3#@3Y6i#b<)V4Y!z79hh=4&
z8-xAG(b|re%22d)J3K^28J^0wbQI1SgT%>rb96-+UdmaYz3rj|0fDz}7=@a^*TkJG
zt-C(2Y0Oaj!;Jv?clPhC95ex;I{M;*lO%Xh^N=srLKbSyjub1(n!>$)tpis=i7;MM
z=h#b>f{07BE={}KsqSBrIe1hFf~Ip`r`wA{opjSa_kE@iNT6~FVNrxVoW`XqmHgoG
z!>Vx~$rN7qL~@4TAwYI_!b7hVZg8K#9jaDMpkz}rLzQ111oIZz{;V@Y1HaB!hg~mz
z@6A|c8Y>H@BAK?r_-LRwuuo&s#su=JGS5F5mxlPe?eZ@NR#EZ6;bR@UUOD13ZR}tz
z1xt5lUOD}qKw%9zM)T3e;JW$xy4*zx&<M)(|NQm?Qhcat9Ls79_0O5MA4iG8(xpUU
z9@o!U!&FwFaL#T$|Djd6b6*HjNlw0Tn!}i2{ZY;`X@HVx>p{jvepvbHkmTt<iP3e-
z@6~lh;N*L(xyzpyE=-($sbf5c-9xi&_0dMK*_PAFA+ZO@%rbWrxEC?odsTfx1%{9(
z6mig&nhQiHEDAH<EMk*=PePVI8vt@iUs_XSgHiUE*<~Gz*wo2f?yPNnNE6Q4*{Way
z$#9LJ;DAN!wcAkYmX<y+WR)qHWbJa4lger{Y5`NH^^#)`)dT&|JU6#bG;n9ek5%;X
z99BnfPZd|E3&DjpF)nsg@R8U_%uJfW*yqlc@i6Mbtd^7Vl;tMcXOrXh#dr#1`bigh
z&QS-xRc&=#3;K&jE*LF!&x~W`R9&z3mTLn`eHKwj;6GHuw;6RfcN8o9c<P@G>#lEl
z9UKf&SVDV@<4uMgMlktj5N+wJ1;0A!_iE}aAdQ!g>DMX0F!zS6&V?>bcz>k9J*9mb
z9lOB89%|o@6`5(*vl(at!*Ts98$07DzLPuZWJWJ0DmMJnuS5g3D~?iW*8WDnO1>n2
z5bVKD2_(*siSGL5(9^ZN*<VPRn&m{zOc%z0MHpFSsRMqsz2PL+0Mb8mA#|Iw9n*E1
znU7>w2es7OilRHcC}sY%V?%c<HWFayVRuapatqY|#;5e4vO>BKyh2S_`vcjU7i?<K
zc}b`;?$H-i=D>tgmtfch>8brO8LCiOrWA2ayA$n+%e+>+R)h81DSG4!se<;7Xi1CP
zXB1DLDyL0bi5;jg|FKd;fs>S{qr>zckk&)0-;G`mF+!W%u#Y+gD8tpiHq4umvRgyp
zP)`=tc%>(|@2U!P?)d%YVQWI2*K!ZvvOj`CGZF_IpOc~Q=IjAgi+5<Xc0f_F`v&^%
zTRHDLtPHYI)QEiyM_LusKbSKM(SQ5)yeQ*ShBPROOQ^xn<9<pMmq{6lAL0u?euxBb
z`uE-CLG|cn_nnu`*3Z$^h@hUMsYLLKF$x~Dev9J#BAyv~R3qN_Ln#-&C_!8FipH7V
zH;8qOvmnR678Q&8#NQTCg0ubyZ;W=lK?~{k2kc_%k=AL8^7~$jpeg7mgGg^t^ydQp
z*LDqP@4u5wXWl4)0cCpg_V`<57xM4!;qXQ@FvOYkiAMp3gM)jC|LPGraWh!^)q7O)
z!a@A`IRf;u(tX-c#SurRIL}*wR#ep8^=zX<9_D`NzHsJlK&HG;*zN9pM8rXDj%ymb
z9(TIuq?5=yR1rPl{P<`aGDv(&ZFW}<L>|moem&fXzNwT~4oP<+p#l?NWsw8Fs0v5d
z7fnd%0c>8a?LwfN9?~2k3oMO^2Mu=jawUa*-}lgN6e2#e_xOSgxUE}RA7gGs-_$Ms
zD?HwVnwd_zz4VlU<}WEl4zwQ;&#7Sxjq~3T=fmTnHNT~SE8$m6g7#-b{{FJsytWUO
zXYsin@{opaZ(mofl(eIJ$syTNM*T>erbo(iTnes6@T%8UcA}?g&Xh{pA@nkKm3zil
z3Z~;7d;8SCpns(61D4FgD9fLIv2|4v&fjOLx--;`LThFuZ@(Tv3iZi6i*b?=^zBug
z#p@o#B*(oPnlp;5c9QPd@Jhn_apIo`@4us>llJFWo{Xc=LY<_BLlUszbb*1B<p<&l
zOJwBxGl?W*vn1uC#X;ZWPGsiwe$<)xjPfsR28Bk&mN!(00oCOu!3nz|<or6Z>Z`>(
zTAvR&d2L!0eD%tnw5ksy*1A9ri^@gBVecn@SxFQ^y;F<+O^l$@I0=bR?<GWY#GUjk
zKm;<5jn!#?8by9pS$RWtD=4Vh>Z9~qVR-T@ocq<tII=mNF~1VHik8wM+o`yOVK`-B
z*-B#yX}!1+`M&Kh^4(l?4fhg)+i~_S=bLBHLbGB5htCFD<`}!)^+6B<&d5G<xj&EQ
z&*Wb@XuFMW)XkKiQ5A%wS>AY#u|*{QmV0RGJr#_yB@eu~F97~LtTWb+meAApebIjD
zH1Mu<PmZIY0DLBYqMo|7f{f3nrnRNe!P4|7n^Z18Y)vwlo_x28o>(Pql{Yeg*Sk(j
zE?ItHSd!!Vsj!ZIQAs)<(qV?O?!p(owS1uQm|sV%djko?HskS2tY9mc@7{5O51xSQ
zx02RvWQPs@=~(9gzRO|1w7B@7dhh3?aVBagf97C8CUO8&K&!t)Fl!l)_*Y(-;&7wx
z`bh(AF|jC?i3i5-w*Sj1;{`M2=f`<R=s?9du<)J`9}Ku$)Hr{a7pwvX=47Q9A#3o@
zflLnpV1YxDj-|Z7dGx9KTs|}0x4ATYdqxO&)~*G!_49%ecPIB}cQ*KyQvOw}MiiJ0
z-_6|A;)8;^KLW`CoNy#TH`f1?1aKug7+-DVgEO)%FJ!&AL1X7;R@+S}Xf@fKG*96N
zkz*4I>U(+M2chXA<9QjF6!6M8xSR9YeYbwe9OZ)z{<<{QP&s(`CizGzs}N`~a)@5f
z6@Xzf)z3SR2=G4u0096043~L0)ZZ7!EiGi5v5nmfV`l7OX6zgxv`8Xb3q@rs(JJX@
zsVE|qP+5{}5fzmdhbT$-iWX##BKumzZ~px}_qorx_jAwdykCzTNR*-;8DQMpK`9ZJ
zfs@b8{;Kh)!7gSEzbR85iVp=3nAFPw<=fCjiwhc{KJQcVQ<x05<qCp+y-);ah0vN$
zn%WSx&(3A2g93)T<EsB1qkyOnJw$h5J^b<g^v_p>3PH)q+&fj3VP{JE;Y*&n;OnM-
z!ulBvvP~ph%ND3$CQE<Z@>UOa>s$$K8Bm3qEORn%Hw~Vt6eKh%uz<9mN<WaL2?4bk
z7X57u7(RdMX`d?_R(3vel3H93TN-+A*|n;H{+V4d8vFD?VC_dC%V0eyl=GipG-^OI
z&%Z}1Dh6=8pfkEhhYc1yV@KVeXu*6%X5*U62Efg8QI(`^2p@T*m4b}cL+)E<(duvm
zSQ+t5-s55dTrK<K|NFNdEZDy*+<)ss$5;DSW}-PX^ZiKZO4WftrH|teKCt1?OaBPT
zT^6u9T#onNDqZ+3q0+uyjs>=7r#qWlH-PsaLhNgnE;#r(NM0M(1-HhQu49T;aOV~+
z<se-b>{t9dI=8I{OFTj<QMZP)*Y=&ZUv%JigtqS3cQt7Bku(q<vxce&mjeSEbs%eE
zG~Ka>3coM=g<tX72t5xAQ%;;&4`292c+QQ<LzZX#^6Hq4aF(~x@Zn!A=>L#!v+X}o
zSd2+HY~i~RW>tT#;VIUD(8NI5j%;oa7JG2Wh`13Fc669^(A9wJUFPXV@jP>xXSPRv
z$6LcGU!#kn=jf37{Zn}H=wju?gVFsvMy=quX5z!*Ix0LQbr2o}@#DgDVaJrQ6|k+!
zWNRgrpz9=8%0ns<XV-LEEJj&^Z-gyx+qeRJ%(FOi-CrDw5@Pv<K5hW<^I_cjW75z_
zZHe@MC5hy1Hzs$>ZGbR$|Eei{382N6#Tjgp!XJ_)%5ujoprEt)=aJ6@h;EzEqnb%$
zzVk}XkFNlo%y_kk+x*aZI-~npr8F83Q*IjD0t5%jBy0yBunMuLbRL(+uK)R2*PS<q
z^F~udV9c9$5XT($4N2qcxR>Vx6U~60vwQxs*`T>ByZ`CWm(sX6m8FndYzmo{0_ko;
z*US@2um5xVpESyZMdV!VGJ(-(DTM&+t9&J-t?a_72l9u?oE1#qkyx($F@dQ{`h6XO
zKbJI)hxA5T1{g!w>-C#|e*9Be=AVA;!AB`PbM<RV&s!rHZyDVl?Zt&l?-Oh`7D}Pp
zAIja|8b&Z8Ah`EIBriH;O5Oi)TM9i=b4xw%7y|Q+aTAxz8vL=Cts$Nxg@lcFqy0&S
zKuRHW*$(sJ0AWYx*;*+a-s<5VkY)fc4}1>{v=P9z^z)XC6)F7aI(%@H(;sR+ruD(6
zgwV44__y1R()dd`BQpKDJ}j+0%pZC|1V4Vhw#<jp$Sp6n!@*e}NYnbY{Vxf)6332o
zwvj=nbDDY+3v7rvY-vCEfQYmrJvIHGGN}BI`Xc%s8*T)vA4p9WMdP7HAH%z{$P>gj
zuEy!(x;1UB(_vzm_n|_x=9nA~T@08O6KBJbKsn*-`@~VswquR_UU{VKxvm=Zl?883
z^4ZneNnlHy&9INB0{%>TmC%sGg5r?tucDZe__+%HOFpTH<@+1VcZ9JZc8l4kb5s(V
zu6F!ev7L-1wMhdPcd;PM&RB{pD}~|PwgzpSBx8=}(Bj}m7Ub*=`w<~6je^s874fMQ
zyfSp_`J6EeOiAS#r^qts`uj>!w4D+{mcwo<6Bg(fr6pZnFN?DOs?H3rC}FPhy$_zY
zELd8M3ZAl)!!=0)5gT48<CVK)<4#W&T(RZNP7IJo>6%lDA5K#-_Q->GaDfF|rpPD9
zZz^C5ZGQHIp$bl2PpcJp&H_1G?HBqV6w!3fbarrF1-)LKc%Jiz1qJGaup5zN90*xE
zbKnsTg+(Z%uC{EDvD_UgtVF>^=bI&?K6I2{ee&tX95(cyk#Lx=rl4=cj{Ou726BhI
zf8;^XhlCo1rB&Waxa<=ww6B1HITFp=EMxWI@VZoyQeI`;8@u^tyPhiY3ylVNh#0_h
zY`V2^rZV2TGn|l`tBML=6u;(W8NlNRg{~rfD*meF{#DAYhPEG4zJD|`gwUNTtAD(s
zqF?K%+kP`O>`1E9UG>8dcGW*DNwrtO&m%WA?cCMy>gk$H*(4)aSJkf+^j-za)S`6a
z9n~=QPeVnxr7^IhMrQcgG*lm3dr($I4QHOezH2sT4ChFada_A0jNg|`Z)sLV;b%TB
zv|JPTa#*G)qJxIjhM&LWJF8;*+mJ17j;62_Qf#=JKu6W~aA<nMK)*y(>zOr$*Y?-k
z>DqK8Z7X+rFhR#;qG`!&oEg;amkzIE)3NN4(w$C0I&O^Y?Oi2d4!6SdW%6lsY*Q+T
z7Zj!;BfZGh>#{jmk0+2`Ez_{@RC{pkA1da$<PG+Ya@N<y?u)6U;ZV%gW!2Bh=$tgV
zaz-BDML-u_&X0z5iwV2)^Of+&QO|GR4FIkiNi+#^(QvOvW7ES>3Ld*7Q8UNkn3%wq
zi(XMGXeDUb;IWO20l#J+&us<hOBu%SIVz@|`I~aaT>*!3qBb~j);}c1Sqkl<;u#%2
z4|`oXJo;phGjjHi$|-2;E>}k4g3i3SmJCjvn(HQ!0RqpjW`E;X#=+)WRqZ>Z@TFjb
zQ^B%1=vY>*X?0P;m-Z3nZMl+o@v(I&??ZD)5UcBq&!(W_u9Opz8WKozZZ&t_!8z|X
zs%i2#8O7J=pK0$CL;J<?u!2!DI7GGiVPQtb8oB%ZarL5DnOyW^@|+o%^Nc>VQdY#b
z+EoWF`-qqpd8BDdzzkBjUN7=|k;exkZAt@lA`W;n3T&>K!sV~8*Hxv-;l1`=kERp?
zW}4(pc#uqi{U^F-I!G2(#&**rbqTnUw`wvV)dWO7EErt&kiq0ko<4_O5sVpJmlY>t
z0;?1pW|lmpQQ&Wx-ppMQJRdXuB<Gefh@9~KpJRv=x_TXdY?dv8ycaH>`k%Zp<PII$
zqJNi!1S`$E)tw^9ZHpc6GL2y8OLFMiUy|6?ccN;u3IX@n?mH|@GlKki5$!G;Npv?*
zmS7ztpx=x%;Zu<z94#~>X1|uexD9g67T*XMV!vDeyn!JQEhV!gw@Tn#vSz@5BN2yp
zHdV*GH30wGa`W#~;^<Gk9p2te#OoKR&W5fAP?VtaKIWk~@&}Z5(a(vZtDUdq=%_vz
zP$pkwMvCK?RNdW#^<t=9-cDJ#s1HxyP^R-ZbJu2ye2Oq7h7u&ze-CK-kal!|o9-u$
zWz|gQwi<D?fB9;wXFVGTr-e4$KP!$dtj_h!JPBkt5=(tU*x<qCmsgP^j^EuhTqw6C
zaqsWaU=<}c3{(-0@$`w~y8g-B`<W!nOT02N`<cVTC!5~VbS1DeIyd=SnH1WXXI5Ax
zu|Ox@L#N}01c!s}mzq1IvDsebbCeScZpQt#?i7^7eVYPL-4vBY`KN9{TAVyM_@h^8
zG+7d7C&v?%-R02nRC~_*aV9wXwXbQ_BjJ{A|9b03@>mjee{kSE6MTNW=yL8S;q>xR
z<J&TdsGd5yN~VYjpMU*)zn(KMUrJu*wy+~(MoD_3U>Xw&bM9Z3I4zC+#G9kxf)u0*
z6A6A-nXp<mrY~cU3??wy`7WO+xO&a`FF&p^;WV%Lo2|~WI3h9=`aMSp1JV^g7~EyT
zRpZI9<GbWA-q&fY{j@UrU$xsK_lgOhjC4DULgaCqxko{r0~OuZ8JAlBU_#sg@o-d%
z0v>7l)c=N|g7M?`hW5y^pp9;7GF-2SOE*o_F080vhQ{QF<-IJ}oM4pg7EQ)9^V$o0
zTWIKYX(A{6F$?O9^`CarDfnyjtUNQFjv{JTY_CYNff^}Tjg1tnVh@#u?`0r?D=K<0
zh7GUv>CZw>Dq%6-&MR)Bs#wxsb})3EK0F`ocHBx<#sggsHzhn$MOpi#nRjXW@Twy0
zy5T!zysc+n@x)jS{idxwei<0R`)1WmtNf@KNET_?lCOpa!cP}2_8Y*X#$5&`YgDji
zeMQpToEo0ZUGu&r#Sk3Q*G5{Us^F68gRyL~I(`pY5f0tS>6h!x+55>foVihL_eDt^
zwL;G>l}a0fh2QVBUs7mTyiu^C|F0T8;=A2t+HDN-gQwpOuh4MbYI~Dft{R>;I`ASo
z+XSkaWrgB9=(tO+C2u=j4WC_A_I<d|6s~4X{3RsPu_5wM%YiUe4A08uZIUvB!pleK
zD^KXCo#MS}I*)-ao3<a~uQmfU8E!@x(lN_#Rl-CG9Y=>2t?Jy(VXkWX`e&t_@6xTG
zb5m)!_O@8`V7ECO4h}CrA4A9V)E%dTeO1urb<G!lIzWfk9+syy9mfs`kNeW8SmEVS
z+~){TcA(^&?=KpXH^*!8cPL@qpM673M*)~Rk*c02Xn3v3!>j%>1^rF_SreiGp8W4(
za?F?tKKrb?t{%wvHv2<ScPxOb{ei+{C(eBe{#6<0QovzdM*GJo03y$~)mI9sXwPsv
z^(a#oMLeShih}_%{!2f9cTO2)rW6Yre5LUjm-p#d7l4Aci#*bX%Gla7-Y~w8guYsb
zZbs_?sAwLzsCGgLRcjs!-b$3fCf2H;&uamC{`y@VDWRb5_+p*atQfAFS6BBhGzU#l
zYfFRQ9L`IHXWY6fitoyD?bA%mL1^yXSdJPQx4L$JX!RyyJtOAGp;|K-yRrCcx>Et)
z+fHm*2_WG2_DiYFHfBKM7Vfp<^h+&CVItpN1lKT6YTu|e1?|I?*DlD);em7uV}6P-
z*1t;N{4G<UzwB->`znKUxsWRZc0#x`qNAtq+yr<X)^0dbD2<Za-}rv55=7pM8iLz(
zOdtw=j$BHXLZ9aJ*}Mor)Q<hD{Vv}a2J;3|E~k;uY2ozrxky1ga-v7UPT3glrE?$T
zeI|)^Ut-%yuLaR>-Ne@LbR%#)Q)#R<E`bF?uZ6#83E}k55WQ(xBN!SZUgiM_6hA(%
z+tnn5>4j!33bzemP<L?(3dB+5sqZ1dJHq(Dtt<baq9I%x+_gJWQyee*8Z0a(iQqw+
z`WnW41NasAE6nP>7-rv4s|<4?;P4Ig^3wGNaNr^3#tbJv+o~34otY=#wFy(B?UnkV
zt=y8hU?YasvZ-q;^N5)4y5X#YqdwdX%{f`FDuy<*%Q}sIq8QlXrupX=8#ZQJdZbar
zP<YceFF#W;eBS-=UGfD^K98b&mC+W%PuyXJ=gH!D_wb=Zrx<Kl>wb0P%k7+XuePKb
zic28B)1!c?CKhCrrIw4vis38MwHIGWNuuD=vB|w>S>Qpm{8-&8hL_|EN_T0I&})kc
zi>kwd>&-LQBbef7cJgt(zq1rpC60F&jxa%_{rVQMJaNoQKhtA+MH=1nPHP?JaN8)P
z!N^Wq0^e>u=PC6~21jkm7DrDoL45Xj^zwTNbm00tt-_YW?Bj816}C*M)lpp$J0*z&
zOugBIIr7-rp>!ljnF-n^@zZ{WBs`S8*Xlk^5gW)$n$OoVA-+(cvP(z`nF9N>i+7RH
z=eT3$<~coxCHibIot45B@7^UREed+FU2BHN_2BK(Z31Q-pR76LES$EMlcO69NZzx0
zVB1rxeriz$F*MET@{kf%=g)kM<LtklX7XaEv>aAwvo7^FD5J=HafK<J3C~1G!h*K)
zD0~_vmdmJ^YHoUSt23wmu#tCB7Zk8g$mM5!rV8>ljRnRgF`=TfMcC<+BECFuuk_6&
z8cy5`>@DbKLckifs!K8%wKIxu^#{>0MW=?o#gyYaIV1+dmV*28zl&sVW8iZ}UGcX<
z7F={nRebS}g0OnWwm(X$*ptq6BSM`G?KK1W2g{VOV6%OP&!8%fBrp0?Ub3P3>uEmY
zKxI@*pL)c5Lk*qZ){yje>w}n%h~T^u6*XA8x_PSV7~AV1Tp?rt`Bw_=iMLX*tlZ+g
zaE3ZQv!^}OZQ#6H_s-?|vnuHMznxXY33aSCzVqpPvLQ4r^G(Xi(@?;xrD2Sufz2|L
z%RGKYz-}~T4i?ied7<9sx~K*QQg&b8&+!5QIj4|+oZLR>*2Oc`sg9>7Qxv{&yqoXL
z>w7kL=;-;~IcDQ=bqqJI=%X)~fTMu>(XMGa7FW3kd3LB_l2>!t$9fJ=90}#RIt<SJ
z2y=fRsNqp(zhJ#2Gw8^jNz~rKKurF(r%Or|O?SM0^25#?&J}IvcXwqVy;@eLc!7=v
za;~eIIXVCD7_aNFIRlHS4NqFjX?R65dApG*K=SpEdY$|X6k+LXQuI(k(t3JQ{0Yun
zNV2q>DW{{R_~9P%m@<0z?>xAW1t9R>B~pbg9eLJBI6XV1gzJP}y%VSeSUMk>d7z4h
zHpKD38@v?UTFkWm?;`+rd2YmeWg1=$A4pEpRK#)b*$!+3IQYNBX<CR1$|uQAd<mAr
zJE?EDOR51T&MlV{A5$^@OxtorpEQcj3+#AV0C2}ELd<GN8Lix6JnSxzP_!Z;h#3Q*
z*1lL1DyEDZ(=xk1?U%sbRo4O{b^*8*aZ#O&l~8+pQ=`~9F)VCWyDzE=aPhXW3~L_+
zi%RPZLcS3(@Yv65X<g=EbYoj7^D-HWgh!712NRH1E+fF@WezsQv1M|>ipVoy+}oZY
zjJwAtK9zNtf$-j~e5_7+?0tSe<XVv+u0Ii~_}Re>vP|@yQ(fioaL+FuCAI*5(cGS`
zTWt!wJdR)ehdDm8`*ChFc^y)fG@kC%F@+j=6+X%9()c~>UFjWfeoRTalo^-7c_)@d
zPHrwzX#9J{F@J#%|7G2*9uP8tdgq9?eJm1s&IM>*Y~{nk_u&PmXN|!icm1v&ElG?y
zKfrTxf)70o%d@wP89{uk$|DIY2^6CYor$sLN3582%=R(@qxx*A$z$SJB<m_){E;6e
z4<zxu_+kj6IhzhCREgnzs+jegsCD?<Fs5M6!4RA+rG2FsVz?Oczl50m0_YJEqF(UP
z07fNK)eZ7Rv7mS`G}TuSD;+%VDA*eSa}&X#+ENr9Vt>T#z9xiiEpqcWTJ&LE?8^;P
zb3`<V3V1r#C5#iMQpWZk`XK)y=R9vU5p(W&QEqZP<;|H``RJdV9Jt6-H@rv0Q}?Ih
zOGXIz@F-#9@lZDWQR>O>zfHvELkWE4RYZJyWZ8Njkqz;C^mTm-iRg9Oo7|8qic=={
zT@#B~fWl{snN372i3#qrOcz5p-^Jxk+gQ+=k#wbdtthq#4H{qNc!SV#M%0fv4$ox-
z&#rS8#lg#5Ru&u|x+&%!^zt4PB&ybn9W58dn4ETliJy{qxa-9qwi^>jp_8ct>SEX$
zWjJa^lR~2xfnIguOwek3`Q5He41Jh_9`8;_<GJSMO_N{rpx@=IXtJX?F1q|#P3Vxp
zl6`v?AX^V!{`yc^&ntm8q6V#JcgSIpz>?R_lX|d&U3Y7uP69pLns}^w<k7ywP^i~Q
z4=OXXY>9Uzah30U*Y*fStP<_Hm}Q~|8dl=(v=c};9FqJ`;T9QpW^C~A)z$;2|Kj4!
z6Qz(h*3X4>j)LCyXDns3^x(x(6G0|N8ZC;mM!Nl#aPq@J-+P97Fi^VXQSe6@jL<Aw
z6XL0ipKWuu^X||Cc@d+(b$lGpkr?@X(1VJ-`)%olXY?RO-j?dNQy#-JeoXbbtKdw8
zH<#^W&fH1lrwEiOV8gUv&-q<6G%dRGjIpE#0Y3hkB}9&o2W@`iwVRINw@$3C+{uKo
zH~iiuO=QGh+KnS_4D_CyIamLN3G?Y6M69k+Q1;cl$^2GTeCqZ7a;qf^4oY9pYIj${
z&utp7%9(1owMKl4>=zc~Qa>kMrgC!QF-OrlK6T8JnKTJK%Z3|+7F?1Xu2t_4tlv_j
zj<ap&61KDTA-t)ywfzYdHz+AYih60_vbV&V!(0YXK@d9AcU%P>UP}iweAU3@*XB>B
zzZrm(VnF8)O&VHH`<d-g(ZrxF8fErq2v=JsTlRdT;n}jr6t;yXc5kK5Xp|Vi>bEcS
zGmp`cb~8`)30)Iycmyyy#~3tp3(w6i(lIwq;&*(T28K$m3of{20>AdqR_gp2_@?iq
z2GdRhGXf~}C*n=PYHWGD5gB+sPQy_lN*$F8_j;T?ZU#EbM((-`44gXk*zeDIHM}=`
zOw7UF97;wT^-)9>d8bxVigv1EJg=0o4?n;j(V1GoHL7^Xq;`n8M8}oHvQ(|T0AcRc
zvI*@B+?K=QvpPpZm(bRqdG`TgSbm)k;~8k?*`VI=i;AQ@753-40OVm&={=c&-xrp6
z_HR^1(aguErdC@3L*TbJDVdI;u4@akGAJ0ceg0U7oCPRr?s#^4f`%^{(wn4K6fvvp
zY3yBP3-DT6v-gi44SVOd1W~%=P;&3-QFU1h82V`*V(P7eJZ>E#P9xIzLT>BfSF0?*
zAanD~)ALmP>{?m2U6+Jm4hgq=dI8Aia*W^IRz^}}-F>?k;z%^I8Mk@@&|LFWx41|N
zn+2|4mA@>C1NlNv@0|rm)83jJ^pb*EhSMs~vkB<>@JC&-Il%1YB!OoQWNfhfvq_v^
z80~R&#>l)m%m)?pN4!x)-O(2l!aD`<<T=yA`h(_>x%K_ktR;EeBxio>D2*S_1YVgr
z`JWkhiC?+vV<(3RM&&0D1+B$hu}4u%-waM9=?xz*lEGg`oAM-8*I=@{Ppo&EDJ1w5
z)6&$X@vuHy+0J@3mRaxd?piW|rd5S68f!_oKnU^Vu2_Y&k!6h!_L{(jzO~A`&r0Iy
zU)M9*!&YI);Ugzsy)lN_dp8B<93?RPUTv6t^eT)~>tCu@H3q8?;iL~6#ql|@;!@YU
zRTw5GICCJ$2yDI11{Ao8;eT3qp8>1!L4|xf&$1zugp+|7BZ`Ob>TDhvT#Y%6!SCk-
z41w-V&$DhN;`nh-|K;*ESm{1K8P{z9{~7Z<I$%P?vV+~%tRAezpO*HcOU?#xW9(~H
zSS10Ye#)EOe8Y#I?71XDoAn{W-FoW6E&}e!T#7IG%a3u_j;+$&rVrj1GDsIh3D`E+
zK@@ioz{ud_V22hqe34pV3si}q8aAZOR|}#|8Tk^oI~&}1?Axp^i{QJTi(fT%2xCf7
zMt{g43(mSJc#<PU@M-V%br-k@==U(oto<YlZilC-8r>5?t*oDdC4&UqykIFBD9i#u
ztNy@46CzmUck_0BClRA>JMsk-FyUI;W}a?c0?OxVUe@Xt#rvO%jw)_pLI(YQd~E~)
zPbrB6N-c`vR#NQiZ_|3PI+jPWcz}Ta8~U2*tRjK59z*UwS$a_SbSU?X2N9(nZl3Ml
zCy7c5A>luF>VZLw$UpT#BKn2~Uw!n1g!bm8c1mJ;z<k(usWn;@KW31hy_S{6tuMxh
z)_>83^jqdn()GnqMN@UID@6uHZPZ6gvUNdkJ8SKmWiiZTf7?)}!ST`39g&Wwb-`4u
z(<iE39396?ZY+F}$6bGGp0&H`!iZ?`gz^UotSWUrem6}K+enS)sg}C1FWNq$uUQfg
zwZ6Nsse+7ScgOW8hPqIf7<%sa2ni$no){!PqM+Ob6TYv;y3lgd>Z_xiG|oof_#Mj0
z=^ifab>3TaVe@ig|Du-+l21Qf;I3B2KRs2iXZ&^H)Td~XYcFL{?Rk1<?q`l)T$QY-
zx}^(bLr!m~%cIG%W`xhA3hD{$OkDR}7hd0Yp3f{&K;p+m{Tm{56c~1m<kQiEo+6=l
z^<*+uBpm(OrO80Y!N|p)6wW+~*%N<vic_~(RS4Zy6|L?#>s^yzf?sD#_+mW;t?0*B
zU2s#wQ^Cxj-dv8SBnQ<=<tbt1P<`HpUFsO;=Dn8fz=G%9Ke#?!<mBKZvE)7uhs_@Q
zzlj!R1HajS3yBA*_`Liyx23EmT1>2!QR`#FoSw;wm6Zw}FMG4PxlR*z0p()-dwn=3
zXSFj(hKB75l_vF@v~V=r*qimn0B(k^x~?_I;h|ttMPaHIPHMG8Z2MpcIwytvH)YeY
zd!LJ5X0a9$j@a&B*JT7Bdd;eKZDruN=AI9N(ONiFVDvX&&KP1<ey^MBW?)I@{xMle
zEzFOcZ!Q%!1*P>hx0*TJubtV`XS!b#w`!h93?rLCoVy!?zgQKi%sq$V0yMC3Z&Q_u
ziaGE_k6XF*sp6=!7e5zU9l2Ki{uK}axWvW0VLz#g;f^8^zHe3W@ZQJ2(m1|wMVm5m
z>YFN>4~Hx<=nSlg&Kyc_0chG$`8PIA6_vTJUA(`ahAES=k45Ay;P~Z?w0$g9%$d;=
zO^u<VdGCqnTTT}6e*gdg|Nj)2cRbba8^-Oj_uhLPj&sb+&wWT{lBSSkBz>bI4W*(b
zkx(c_R%nnSLZ4g7DiTE*B??Ja$oBL5>v_GNf9~t~<G$Y4_1FaLOXGg1fiD)^;^|pR
zXv)@K`0O|X40BVfZ!v4&%if9sYg9lxX``OlXa*dPZ7$_7RYxZi1qyG6EV>2?J8)cP
z04GD>+o+owUNy?dp7WH#CBu@>(MK6jYdu@-;jfC>%6%L<s^a+8WNPBq76weM4Onx*
zR|OAsgf9rJ6TzMLcU~}1Wk9LiA>CLvWn6fq{P*!4L3C<$c@_H`fSs3b(9J;!LtO)m
zD8+oJQ+53de?EX^Jln<qGez9!<ES{$#)Z@yqSuSP0EG0SW{YVG*eCL`BH`8=+-TFo
zXC?@6)oCbqy}KM9_>@|{aghyqP5*QEk09Xri>XoGKp8AZ9AnBJVL>BvOM&K3mZ0`;
z%h7cSQrOII8d2%VjMnUNjAkuMaJX;OuGk@g20BE%1A_?%&0gq8pRs_f*IJ1hX5!fG
za?$Ua&<d#%B`eDH(HwNR*reW)qG<cZUw6V~ne<FJx;{h893BoF=4tQ~LE62VfoRob
zvcCRy@4YB92%W!tXT6RvesT{U`gn4g{C3snT>3XtIA$hrtWQ)3-(1<2qGq{5mSuWL
zvk<1hv7TRHP)-n^xfk|!=rUn3S3S3ArU~>_>~Y#`D}Z+s$~g6YF=5J7_+~y%6PS6H
zlJ#AhA8(2oaSXm;#$m=5dC|~yU?lPE#8e+IHoAq&j8wBA`_djZ+kRsJfg4+>-+AzQ
z!mT#DPFCFQTJ*bOyD{hv-ewF6^WX=~ckQ!0?3g}Vq8Ht41U>n=7q1`ZMmx5MAI&>C
zaMsnAzsA7`=!voBjXd1AhBrRbt!fSK<82I!dTR*7yB_}XYv#f<^_hl7Q%*Du{Pgg<
ziy>496z80%;KG@XqUPQYT=?&@)ZL{{10XU^d3v{U;hM7avDPRa%&dDMySU!~dISGG
zeJ#k1qE3xLgexD~2@OhfF6+aue7oVqRXt2LbM>+E0(dR*+mD^e`jFwtt}4XAgO%IQ
z9(Pp}M0}nWs%fMT8{LdIHJ0<>i}SZJ-%<$0zF7{v?$m=j+)Q=X6M3<{G_dREeqo$C
z`$#zAf*xq`rVd9X@}ZYQ0#iV~2wn~}AS#XYU@_PB(o#7;R_%Y|pRz29A*a^z{T-#l
zo##3+Z=(b-?5vYePoOwzdCJ7(Kc>TBRrU9AmV#(fGyOYmOak*l<hF%}(V;D>Y@vo%
z2sJi~#E!&Dp+bvax0Ed%_!Q*%7AAzyv!P6m%T@-3q7UEMqDY5))?Tjq-@+&qCv>+;
zS`IZM+l_fR=wS0QX}M-W1V`P^2Uv3`;QRQ4`gSukxOPa%EJ{fXziQ>kl=CQ}ieRa}
z=3g3AV8qF@d&JQ_htps|K?zHu?XAa_Xu$StPmDyV1Ug6@zUOD9jE&BNwg1HFP<Vu$
z8mcUXcdB#adV*C@#koBCg%ur~#EjcQ^Q1BIg)`Ul`>OcwS*t<K89E%X_{eo<y)5R+
zUJFSXR6~C$75_&qbQoNeOrM^S!`BjtA3U@*a9xx21zux4kZNpb{kK~IuZ9k>|2wRS
z)*}ys1D@%@=8q<FnU0DG9vS63pK75`yOXY%gFdL7QONj3DB(h(<ieg|3g+EtHdL9@
zhfvA*bJZrw_?tcDUI)JpGBLfDqrEbK;O)yZ*Ns&0`QoRu;nGy(`um~HJjW13<7dWo
z^i}bDs`R8Ln=T4oACf<R&j=LmhOxh=sNv{I!xmN4#b@+uU{_)c!!70dQZnkeH6%`<
zT8V}mm*t-n^sEE1?~!V>6?Ob*mn-CEL&F#8^8ez*Od;;Wpw8R(8mM@ATk~ye8m2`V
zQLpbZgI${r)Bd}xiG4nbyarM<G@!j66wfjTl@leFH<h(e^%>_fJx&*WWeXK94OzhS
z(PcNWG%dWSW3jz4k&12Rdt7fS5kOadc+d5Z7G|4D2B_KT;5<cG!bb(5+h}SeRhWY4
zR{Te;n1Zcto?2n6zUn2q)#m^Y1#ei*#rkw>V%pb}rF}9C5STCxe$=jo;ngYB#E<Ie
z9^DjC70v)>Z;{e>N3`%^ctFP80#)qqKg`8m!vG6ap7SsJG*Ol3_mh*s%6KJ{&+_FI
z1A>#1I(}+uVpKYJ<+#2g%3OW_YKGSeyz1n2zB*}O%l$6dB|bTfa%Hu8EMNuJ>3rw(
zHm}ZGN8{`rmBb>Km8b{H44`f+=jF6e!+7t5-q&Qr&>?(W#io-1dpykEz7tbLDUIE|
zbGbt3a#-9`Etdf$8zf$L|4_yffqy6Dsr)GJl@}=P$ACD=MrYecN;vb)u^_LP6Mr!!
z3%r+H)nCo}GwG-zc3Zlaoc3YIOz#H*EwunC`4-QztQ7E}9b@RsBW65yR#<yW5J2Lu
zfGjn-9MUgngsFNjk(&+eL(GK$eh=+zJvA+jlka@T=1XVEh-(3x^aBXUcZsq*(;<l&
ze?F6J#?$0vt2)KGz!IeLw%adtisScUw)aHEBpG|}YFE*S1?;L#b-KVJhKEBho}ZVS
zAia{a6zgafFjPO}c5Rag>Kj@XiorO^KdW{j`ItE{Js4Zgf3@lxWz!wESH{Tb_C1lG
ztIgobjEqsPyC5Dh^5YV*9w&`C*<4u#%z*leF9{_DaO))@r6-f)<UosYozGrV=)N(<
z9{Z0MjV(p}H5Vqxk1a|Ds^uoY!TWsRAQKM?A0LQ3@AQ}KkjS{|Az}hIg<T$3I&h)(
z4L4nu&M8ubE}$Z?$`=Xl5rOX3wYdB=?BAQz8FE(zdC20kF+?A%{UUc`4fcK=aXfc^
zmUKVy$)X30VVw`-!aytsR^64oqHtrL9NJn{F!0C-Cabj+E6UlC_%J?lx_*%iYc{ms
zEN=u}A6x@HMcMH*Rf<POc7<e(jz|-`VF<s!%Zq-z!-i`*HC#g*n9$)%AXT5=5UlTY
z$sBcILq~be-Y8KP^kAd<+>bQ?m!bBrzqQ!VZQuH%Z6T~EH#V$wT)+V8_SHNxr?BCQ
zv-IHapKQn%<egWz$`Q^#=MU9xV#8X0oAR=Q9B35o_|;QcAFc|@)LA97q4Bt8ayai=
zjO1-Sl=@T;YCH8L-!QRb@o=%mt2$0>Tg<v})=m#%-0pXk#jvAP!JbObbZ*>H;QrR6
zj}DPnR5pAw=0NqX`gI=3y!dbZi^A!%bN~^*yH4zD&~7H^CG%5$lncG~c1(p13hZXu
zep73(nT106J}-bB0S~SmYNo+uL%WVI?40<B)IW8HE`+*GWuos-)1cq#uSd2i7Y-e%
zi%U8qj0|)Bs1SV`n4O-RV@cvh*6nd~g##kE66ly+{7n}$iuXE)2=n5>CO`h305N=H
zQSYa+PZ!uiMko(o@S)m*Od#u82}~&T&`wyUf;#zeve9NWhj<J5%)XJt;vkOYEBC2T
zx98eMh4q41(i4~wlr4=%hwa(F`cUD^uJVxsZmZnA|Gug>TNY25E*IZ3q(YCw7Qcpz
z!Z^R}%iPg=c`Wugde2mz3TmOItS(I==+2hXGqy$%TW#v|yp^etZ0bGFP8Gv!dZ1^r
zg%VD>wrtg~p+b<}0sEGGaU6Y??D77*GFGzpr_EoYg4^*g4|g*pQR}+E%!6(f{3y-s
zo;F4WZ`*uU;b|$%DyIHTuvWvQ3wz@f&gw$Mf0u6c*T`U#c8QzNb9GE_Cl`Oq(SWn_
z80)$sIcz`s((tLiCdRRJ$lSU~1Nwz3^WI$wm{Y%@r}3E<s>qrOIBU|ulG}=wy<ZWD
zUFHXz4YbkYsP0<vFLWq_$*fnAN+|b$OXzWd4qgho+EjX95ByF~oSMv1M*WFUZsgO&
zNF(mBgE#d-)uqWnw^0SxJ$-tiPm6|RMDnQ@IR;=9#zxJZP(?l7{Eqr^8b*3p-4p#}
z2&vY?Zwf@!al;$i&7nGUtgk+jl&xe8l_K||%4izsr)n9u<_sOj<b+eEudIVja(e6+
z%r((lh;#A%eL5bfSbwB(tttF|z;Rz)PYWOIXwiCikB&Fi9NN!(!whN}n^tymQLu>4
z_-zwF$17gh9tCO^u<u5^V`CKsGs-sp4W6apHFA&cmZz3*D|u1;x{Ws08|?5H-%P{P
z*FMbDi34!G9uZ8xt&MrXF)pV@srW82#Id^$pkO*~!lXhQ+m7td3GLFxsqj8&KVJq6
zGV6Ev-qS|SuEPA^C$&)Or6BM9AqI3N+w9lgsEvoea=x+qu8y%QVcbHSt$=!5cDjM2
zVA3z1-6^W7__HuR{nBkK;E3HBp1i1q+-<v<Grg4XacG|Pu{tZLw~Q$Nv{nm4zxk0X
zj`BG7y|<w0lNE4t@t8XO*1&H2YN;g&DI9ssd9AYE3Jy+BCAB<I$D8dL=HoV^c)awp
z>%J^2@H;BxRO70KJ}ahk=Y9zw^Zhe_qV`(>Pn5_=@{kHvJ~7yLR*4HQtJHj7ma_ua
zA32M=k1AtiTG8pw^Q<_Qe$f9>9Rsre2#$p_DWO%<?y0Ch3uI+m;-v6C2AEWiz44D%
zz@p072PGdT$ro-Fx2%{Lz`Wh_pVT%v43s}!qpdYa&K?U9d2<8cS=ir=H*%#>BreiE
zbF72BN7`v+Y665Cos{X4mP7;d9_<3{Dl$4)<jUKV1Qec#R=!g%hV!Rt`o`;@5J}o;
zLVL3<LCY=ZM0=zNer8L#Kde(vG+K>xq<*jfn<MkOJST*(a+Iz+=hZ@-9<uQ~!D;~u
za>rxi(gg6sd9L%s^asLFYnRs@Q*#LWEWbPW3oqUdbNn3`@PVkk`6_DLF*7*!l&#Oc
zg$tPyLLYMlHWQo8&F)r|n?gs+7PmIZwaBDFaGs8;BhspW)xKdi1tGp&r;a{h$Kaqx
zvCEgM2u|mMZ(BB*fS&UCD%Av5d{|m=hT51(gs3$*n`Ev7ODFdW8KunVt9j*mf@VH>
z#;vK$dfpfg4fa~6NHU?Z=>xr-{%R8L(GL?ljNy}%@sp<qmdKq)7=>fsnn-^?f6MtY
zBM`50s(8<{KwfQp&Na^ciCoV(G`4<~Q#I29_hoqJNT2kUwjh%(Qq*5abt>8rk|O<N
zdVT(pwoi}R%9Qt#Hq5V+duI(`6T6m$9On$F#GCN-Y-c}ta_e6H!2<?x_OpFz=JXUf
z?dx}fU>PLSIcw-ceXHD&WS3=Co+6W?SKM9nhe`5|7^B`(AL4UHF5iv$OSWKz^}^vl
zq-xR8&Y*5RXiUi=lePYm#eycBP2S^Vzhm3W+TD6UHHn^UUYI1~e818R#V5&_d-e~j
ze$e4|_uKL>tM>;wIj2gx|B|W&E{^Mi=x|P|T7O>sFM0BN(|}6pG&vCRh3>pSgA<ks
zd14WN$u(D{GIQ_$BemaWE`5lh!E9-k>XXI4<jgYP^n;Q)GIDtFVuL&l#;=-8e9N37
zhr7qNPySdS)kP+D`3C92#@YVv4Tq-5%JDqTOQy?Y{zvI^QrT3Pa1hB7^qV28o)#Gm
zcrsyXs{~(luMXH4X!?(x`$t}E{&*RlGh_B?_11$bI^cXdau<L7EUD}Jl-pOE6&(dX
zM_L7IgZ#<4R5_D*GWy~vvs7e5U771;LDdwf7|9c{?N}hUbX;=xJ+{jCj-qXP(iCVO
z^}DQ_vqXAa_OZLNbuIQ;E(Y|T(t^*_YLCU774pTiqzMrZF5J$cozXX-2?OhgQ}afd
zuz}_zu_J*84FxjyR=H_{z*zpVe03Hqcp3h2bb${qM4l-WY1e>v%~QX&o@K=V#TnWD
zW&spr)9!iVp#gu4Za!ozuwm5Ykb=vr{nYu;!ChBI)xqPX>1F%d9JqUbgk1J}Vca-f
zb-nJYI^3+18oTVX7B^&+^6*^{MXFsiZ_7G$sJUHa<++0ki~h4cQ|v8{E^>|2o2S$u
zWP^x|_embC+y2fXDnJrnZ2mUsT&)JaH}9Zd3m=Z8{x{~6CXE)iH4bQIs==gh`p##M
z1#m+7umc~H9QM0C9w|;$17(j7OVvU`__`uUV8%fK{Vy!Jn>|nirdEfR12=`yeXpAP
zWZ`Q5{~}M#=u`vwhHjP;Gf~`aA7&b>tBg#6-lukHtHawTo1!Av#F5e;{<pC~1@n%-
zlD?9o4m=F);J`@<JR#0>>d$F4jQO6yvEZlyo>vqmN;#zQnXj*?zJmtNUf$!PsHO>7
zJuyuDR<d|&J4?i6iWaio@r>m#(}KhXi^5IW@+dK!SEDPdjazjqw3QMlVB;HnM?p*x
z<8&^mdPz_*hK1*kh`tWQv;+%g9#BH!Mo;h<Ck>nZMbT1K7t%5%6i>D&<H-cypP!lO
zDA0auZ{l+rysXx?@nNj?qU-NX5022Wbm?4a2bUh~>DpKSv0M#>{9i>EpdNDXqe4uq
zK9ED{uR8TLa6T?>f*z`mT8dd-KP?TxV9f8}@_kLLdt?71cR?Q`Q%oC@rHx@Q;dQV*
zF9q9=dhFcdXn=QT%ty^-O~6t_{%o+DHeUapx>j<h0Zxzn7@aUN13GLo(Kx5Gnv)+f
zXGj>}(rny*hOY%IKIgH1d7O$~ITK6;7xi(7FWfOIhJf2e-xFI5bkR|>>(Z7CJ$&tL
z6Xe?r5YsdmX#7AIzn1s2Fz=_MTlZ-J%~z}Zy;ij_*`|woI$fOuSI@-R$Ffh8tw8j_
zkqyiRy7<sKMP-AxHaeP}`=w-S4Ngn6kr|3EUcQ(vGnTG_k{37X{Asj?bBbQ-mL60b
zeqt5CQ>KDDx5lpbQ&<nJHCpFKK?kMoY(3%Cs(`Po4RgNQt_OXV*>l$Y6tvu)<DRB2
zg^`vn`+U}~2aB`slp3A2FlNhJ`ZEJz9MP4(EhfDlqO#v#42ajjARF7x{6Cynx&7#d
z{jJt;qcg3*w?qw}-TV@jExk-~*MDbsI&2MR(`+@OSM!y5eWJG2e}g19lf-<)vK9Pk
z?5_;(Qo_ZpU!=<5E%9`zSVQ=%6=a-nG}<_+fK`K0t{Wys33-AjQCwia&Lde*&Qj$t
z!6yAgZqqCwZ#TBDID`R7Tq_q&-;+Y8y=?+l->eXR6nC39BLLUfCECAj5J$nj?v;i;
zEYLB$(seihph&nU^qq<bGVjjhyUWi8B{mbM6k7=B*?G9P&{7b2&o68dm0|~<1>Ufx
z&z2D6CFL1R;YGHuhZ@%AvV%?Y71`9^79jY*l5yR2EtdX0Wxm|T4%CBry%}pQAgS1U
z-KSAj<nEbyuz_TUClwh^_jJv{x#PE5+SCeZT=P27CxRVHOox`__LxDbm1@3s*DQIe
znT3c~W(TtzYvrg^Q@DMpp!(6dNwO-z0(Vrg!NT0RCTf=nd@NQ|zxnVN`CmxfTFo77
z5S7esdP&6uTGM(9$K}3}ud{>td*@hTm-Hv*rPcnJS)|Fht=dR_TUl<kdB_S%Ld;eC
z?^e02GvV;@NFH(5B`-KMgcarrn>KCIG=_jdF8_@4ABcj6YZ2yKSV8Y)bFKSTBPc6*
z!5ww=EAf$T@HW_)6|9@M{C-RsLJ9whhm-D4V*B$6LzR835b2(~C3mkOoZ8BK^hNS8
zVONk4J$#oHR8<7b4}3BJDT;|#SMnHfvnC{KVTKjFD9dweHX4A~ljDxO%9F%%j~lx^
z53zwu`mr<a4f=p0RFQc1DMB$?B9@7V9iBU;%x?VuKh@*imWvTHgtUXc@|Q+-n6#QS
zXnC&(UvJbqDcqbT&c#;8PCVj(DmDI{U2b}C@xogVt^9dnAFY_<Wa%16X*%C>XowEQ
z{2Cufa*;ScCZ725=UU*8xt4S*oDS7XOjRP^mx<l+C+T-BxWM(uovZ`GbV#dIc4WT7
z1Q)WiZ<UbTApDZi#8gBBF8`9DxI$(yPHb-_f_Pzi&Ye8BnFgLl_j&w&u)vr)Z+3wr
zKLozEt6D#<3zusBgL5ftkWl1vV*4Wj__0FkwzJcPo9@0#L6=wG!y>Rt>AfKQ%(^7{
z^Z^z0VvlllEpb5N@J_xjJi>6Vqn_1KnhK{Qz8mviTMLKU*OV9sh(O=&J$x)FIuMoq
z@4X(u1(JVa42AkdA%u5x`kayu-2IYidr^=F$^-YhI-C&)kHIOGD^=RSOuG`XiIWc$
zt~<EAwv+_#KEKZn`?Wz<-ac(yL;$V~*Ew!hmWIJRcbb%jHstVjCEA+_Lc)$l)hwzk
zOq~4OthPu2L*e`{?k9v+_xsID)xGl2(=eJaJ4gZMJrNeQEy7^Apm`zqn*way``r4(
zC<R{1N700=MIpScwK!c#35K?BVObQ?hCefdUD+SR;8#HK+mMsWa3JT2tCgEJ%v701
zJ~%A_*O%9^(FatZcBoJ2^c!v9ej>Pw#ZC(N7sNF7`Kp0bAE{>Rp#yDgrzAw_GLUq~
zEsC5}hsluOnVU+hy}1ALrLuK$&~a|K;Z3Y2{9^6X&63rHidXVM%TxsrHQmMih(>|Z
zi6IwvO&SD5)LlHaNfDyhViH9@X+x=?o7=H|8u%I)7}=dtf_?Pjf2~KT!0|Ry;t)v(
zib`jc)Kg`sw~af}vZ4!Nx7|zmNj>mrSGe(MTm=#~m-;WSa!!|X<=VD>eYn?Z=^RK`
zgYz>kKc4TR1Gk&GoV>Onun&is)ds7Bd!L2E-d;Lv{T`FikZc46!qVH{=V*Xl!)NcW
zpa;s16t#Axbx<^D`Yz<1Cak3d>&b@d!R(7V?Yng*aH+SUxUEYIz8SJ!sy?Cz%pCK7
zv?9#F`FYZx%Wo;r#eKf|yOADzaMT#GGPi(YaiPt8iQ2$o+r6W;k`BSCo||7zTfzq~
z2`MWr9gunSU`sdaDix1J+ud*mc)bIM=c0AMr7UZIB_9pygDTzJg&0uIR9BbsPzTyy
z_*f^_>44;+=8`;;0Z$)yVq%;QxN@_WdPq`0gj@8{kc$=go))<AfvN*q-TDT86b*<^
zTYkS#Z3TVn0+T<*X~W;t5Pc6xRZwQT{o$H`HRLLa{CreQfg}C3r70_l@M}FkD`9R8
z?PTsiZiW{4@4BDpHX#ct^fvL(4c1Vp6CMA4k0u=99~-DMk^mp$OVZMM)?j$KJ#x>Y
zI`I4U1awUbfpU0AES=RFT%6ZuNu5@MxZYS^op2uLIsRMQ@ud|AasT5h8c~7U(c5*=
zmJJk^DV*{FRv=Zp7-F+k87u`orR}rki9qh8L@jnJ7!*BLDqN`u=c?kYoGeC(fUunw
zhf^8QeMsdqg`xm?SsOhnc6SiM%6gSMH5gEMQ+(-}vn)L0I<IG(SxOFl{GEU28Nf)+
zT_eXpDOlh3Y%%(F7g-r4EV2s#GXBPiRuqbZ#c+VQN%c>1hrM<d^%enUUwoCrltqDO
z*)*<%`kOqJ{PRuYb4%d69=@`+UI;uCGppEQM@d;-S;}Ci1#ArXHWYYQ0A78)gWHtH
z$yZG=j7@A7uxX`RHpPh-vLjNfoIS?L+hNBJ`WTq6a>=!$vXT?-=que4kQ^r$&j0H-
zIba5Be`SQ}M00=?cbevj=}|ICb=sjU&lCplcP-Yha!4n|S%Asp4_Wc(NoVee2^@=M
zuc=mKhKIF><4<e+CPU&+^1d`OfyO)?j*qXGh#LC9&6t59va>2?zVPBYNUPp$^u1}0
z7{4k|HyJxX`u7g_QoD`e`mI|Og>5s$k>p~QF})w;Zc@~H)W{g@Z3{AeHvT0x_4m@Y
z{`gMve7<2{aMK7>ivGLK_h6hTIL_;(;P#D-<PeWnS}=qiUu6FNS35!kQJBhwRl7)Y
zOQ%n=zJ}1FwPow!jv<2m@VcHVgAVfUKGDR04+db_QS5gm>?d*Ov2+f{)i&~xomK2d
zD+AcIueSDeLLc$TfwBJzrG;ejK0sMlrVqTHJF=T)dWrZU^_705M)H*Y!4C)N`tU^4
zUw44Fo46FOAY~O=LuwApT5Wl(2b<_r)_>8TiH>&mmn=~)$?e%u5)D*6aL8BWSeNpN
za7??oP`Lbzl)TVuTU<;BqvGus3su{QdEI@fQWx{cbBFfeUlTeA?)`YDQE`>;(f_#?
zbjFiU8>b~gYiKZGFAh$N&BR&m!8K~kR|xKOJ!ffG8YrEU+g$ANj)-}vos@Dkn~?b%
zEuHg57mDSxbIxySB;xeWR;#ua5j&HdrPltTLT22rl%iMlM91fSHyq`j6O+Y1S`DSB
zaCF^!uf^Ot;-c9%hf79Pg#Tk+S&ogXy&$T&`uSKbQT*SVR|P56M39b>o$G~FpWiJw
zADU20lsPtfSR~XCPN{y&Q?Dp+4$~eqT&yMXi^`l566y%k7uC9r>=bZXuzw(4TT28A
z9J|Gp-AL$IpJXZAs0G{XzuI~_))Dk~wd8P16JaO%w*K5LO(^%`$>$NSC;0h8{3@=u
z5L^q-=M_g*{pPNE$1kadRo(sj)^2Gfti{sw4_RqI=0elrsCOgrKL7v#|Njh^c{tQx
z6vnODm$8lA3^QZw%gosM9@#@hsYDV&lxQPKmWoKU6NxA)k;+mjCqh}WM540%T2PTT
ziRkCgd!GB8d++nS_x+rg+i_P(nNcsnt>C~~c~KJ%m+HrujJFY?S_khiSucs+Qy2fs
z|H}Yv@pSJ`<sC$F&E;TX(<@?1K*iV5p8@qc<lknsoy5JEz88YkgT!6#kXfy#bZDqp
zOE2N=CiY(qA(q*{C1!G}Hyg6)us}L7$z0t-NVPJqC<%-ZhZnvS*cQ_uula5Q`^gJp
z!<#xn{=_H|z39ElNuCDzru=t@0{V#WZ`&U#SiU2a?F&nFvozpv+vuxCgMPwNZFh9B
z)Ca;VJLbudhz4xpJf}(+3=kdTrJKtY#)$QML%ZD4)j_#VMD_62*97;YeAjZX2_n?i
zYGbIlIxO&ytxtRPmJnDson6-cnJ7t#Dx;sJLPev~85O4yqB_87lh=_cf}v0cacWdp
zp0{PPwt19@>b*=q+Bi-0%$B-`+@wHa%QKa)5$}k8{Vi79JH8Xc6=(N;w4uQAgP(^)
z?LQE=wU5Y`*!?7W{p_q4O4MNA@cFU;Q$Vc0;T2=Vy%M>DNp3U5y-@zSy#uOnMW0|c
zrcMxMw3->6j9Fq>Ft^%QN)^KC*2`}3ej#>{FIo<W%oD2|J2p*ts=&pPlNa0?rigx9
zcihprK$IQlmkG;NhS=f4^nV|w3AekV7R@`kKrihdm-81T@bq<ml5plb!FoPv>!r>E
zf0d+JVvb5sF?0N>Wz<h1X>)HBiH{GYo>O0kUsHq^Hff)iC(aNucApgKip$`ykguK-
zSrHyqKZxhF&Jsd?vuxWiLAbIkaQUMw1@JxicgoFko-kj?&bT@!4C1*>Tg}M|@UNH0
zK8&(R#JqJX)awz02f8fJ*fM$OI5^))%I5-M-RGi=I7vu)>@;2BDG&9e;IrfFc;LKt
z2&7v`!EC39?FmtNSiv>s<VNtpnmi-fe5MS<rtH@be@ljpoa>(~e3t=jWuWuI3OQh_
z{Nvy9j0|P%k)PG>2!gO+1}EvNJjC-C`b77UA&IZ_Uyq9jsCba-bU+DKMD6<7BOnjO
z(iE;!3~}(gM>kkdRt2jYQ^J!W@{nQ5dHSbB5;m~6Bz`QQfToq}&F)2c$bPiuMM$s|
zthcWliuYEBfVJGSf&B^)VACZf<|zXS&;3osENH;7s`k9Hs0iW9&aC%}kc0a)zqKWH
zjHN!|-gC*yAlEa|xA&1ec<z}`*|3iZhMIMeLHkufB$rgdc2I(`&KnIky0jtJ$M;Lu
zehO^uF^I|IQ-#vVu1>jCdf;Jgb54R^9W>&EJKEwY&=sq&-{G?XTypzw-OA4zu#R!@
zZw*-;g2F6hi`|W2`ap@Yp#=ks-#^L7ZqooMJTC5CY7GAEuJQr@m{5HCx@YuxIvAc_
zE;KUF0-36NW6@5!@Z+#o(Sd!MK>GR2$=i|xr{AujYls`dZ8?$dq%B&Y@Nd_rj&&v=
zY(g6Lwl#(iq8o~uSL#3>J>+Gqr71+_8u<y;v7v6WpLnT}9vD|g&)n=ag;fO)UKT~0
z0*f)5aDPr8B33$o@DVcu>ip*4${`l8YqVU0>}CkmgRyGSJ*L1QxwJC&S;O7z%l6*$
zhVazI@7NnzQ`oTa{?ST%fXe0#b76@_Fj9VJO+YsXTDBg3@Uz|))U0;?4(T(38@H>Z
zy@c2>(!2U2Rmlz-m)mZ%nl=Lct=px}cNoF*icGr|4)!o`osx8XX?>diKyqf3K5!0I
zi=Q%d06qUmwGG>ifc#^5XyqUi28s{oP<tI<yio0rQKum+Ci{%C)HUE#ZuenA&k<(-
z%JR(rHh}M#S3{#J!K$MZXWR)#2&j&6OPtYzggGu3qDd0wPBa{=m2!lwZ;yZTFV_Kf
z>DkG_rGK+`b8&*{9S1PAkRDva(E|Uq%3clJ_v(Gtcpn+ibAUNv_J))K2Jk<L_X@-L
zdb=$d4?QyNp_J@0uE$G*A+gsV)K?2)a9XZ<(|>jlv)8-v+zu-6WXRpWtu2WWFLqaJ
z8QDR7`~26`0Tt+hga27jrO}AFx|o`{9A@pGI`_yZK<)0Tta3A1e1?f0I{mhANlyRJ
z>I*VpH1nSm<Dwka&X`?V<k-Rm_4cHHQIeqS8?s}19~sG&dD^r20MGC6sqhj)@VWoO
zFUABJsoEtc<D~%Vtlu$J9C@Ik!g0}wB#&yv3-%Qh0@fWc)i$5_O@z3ZyF>`cW7h9e
zH+l_hmV9IAeXigHu}%0#$<PoPD@CW&-mbQW5i{Y~Mw<pgj{fFG%~dky&sflulB}TE
zufLjc`gOgB<;m*eFfs--Ov_C^wgf}t%^y=tr|NmR6&@tB$jBe?RH#qf5~O(qqAH_j
z>QBc!SUw{_#?JiQ8;6&4IMseMw@YfFzJzrB+3PQIsAXLnKH6#yYMH7r7RlU5-Qm8!
z`hy&bb{rVyH8Y1jsl4mga`^DE%lF*BKjkp7+98!)ZU#R)HeUL3eHl(f(=)u4$ymEC
zAaG3A3@%-In|g6d5Ua*_^^W+GQ8Z$QR?Qt#@XF|`e=8({rqNT+I5lK^%A3;UzuXk~
zO)&g0zZkA2ZE3uwBadxC%iZf=nZQTk$8#qp#Iez#W1HuFc`UoMCHv_<6G+|^Hl6Dy
ziIt9{i3))V=%LgYm!@n23Niyz33enrG;v0&g|3K`j6Ii`tsGF9l<(WZkirdeM?3_0
zl(4mOVPNnO2Wt5Y&JGAkqnTl(VEAt(<e8Hj_-xIA^P;b6OsAzW$kJ9Qm|q3m;uURb
z`8e=t<JyCVU&~;fYSgf^jw<dE$*;ND%Z6~SRqv8JWU-z+IBFWIhN4v`wO5q0LCiVW
zzotbFMc6}mnVTs1oz-zu@e~`X&jlO!wUM!7^tr4jiHZvuPxS65utBmST5QjNJW5}v
z`F89%6+`#0KH3?}2Ho(J8_K^cAZtsK1oMnK?mWNawQwREUY87~M3a?paQ6$9xBeO^
z_|5qj^$Z*2B<>4LI4R>$_5C~IEE-0h=h@PBmklP~)8`wLRZ!$}Kytev9rs^)L#}<t
z1_P_6;NVtOj4P!2HxJXXXUup{I+X*iBjQB?ViYv)KP7Bm#lYEKeV6VC4n&uA*;d@6
zAmhu}ceSIMcq=PM_<I`%ZfwcRl;1|hhyAI(%`2H$Y~UqNH#dP#)Z1Dc71c3kk42n?
zh!)zl%0+LfHUZtR#g6edbrj1Ov(l*1Lg9-Sj=I~Kf{a17`?muc=xE|<J?gHF+n%4k
zpg(L1uFFIWH!^8hF7eZ*qE#DP=DTYLQq7=d@m2fN=QO-`Ec8qVQwPH%WEDzm%)uZ(
zJoEZ?Iv(dSAlC-!V4>bC=deX{SUAKtx%?j;^E739gQ9h?E-&g^WRnH_kh|mbD4Bs}
z@gB=k{dG`8G)6Hk%M!LLW*v9=%|H_`@O`DMgPzkoE6Bc9z}B+s)myKLkACf^yWh~p
zP;FyLCe0c?wA$BB6=>oShs+hLM71$a|G%J1@2%mGS4rZw9!-pF*`xZ>Rtt&evLF3(
zY@lvk?D+QyP5gYTZ%5cFCjNPFs4~fh08_WsA0t0%;<o!0C88FZ*j~LM<xm#^rC%dW
zB3d+2bd}=DMF9prYY{UtW&liX2~MMDXyS{VPmb<F8fFK^M$N4U*w%H&DA`OCqrOsp
z=!R?HGofX>N8<pFpSw7$+{VDQ^5`TlsgAwtlCyHp0F>NXXF_peAiF@}$51r|clNtD
zJ6r+?`Yu{*UO~shBULS`9jbV8Y)H%dBEWb;*0a6K=%{$L;NjI3%J?<NDWxD2z<B%7
z1+~>Q<d;spesEd=cP);7q(lSsyRJN3kg0*ieXEBen#riw>)|Ts1z>gjQHSqSb-ewb
zs@}(LSuCkNXmmjvAUO%sa~G)SOl9~;%gG>Xg<GWccLJE+{DV7;sW{G9)}nPr3RiCv
zt-F>?!1QiOQvNmyil2A5T<J=}J!|hA=n^47RHU`Y*;Ng{t>5=%#6lA1bk7~^J#GUb
zAO3Vfw+cRxqPvYf6vx`YJ9T-2Ho#K<dh=GOGVc7Bz*-0uLoI4EsVBi2>N%?e_R1)s
zL))s<9XmzQR{3Dd$cz<q?K;-f@=^hPW^CMio{6A!k<!TDa4Yb1c*^fuDUTzao|)V`
zMQ|cZf{Qt73H=lJM&$|_U7wtuo!cOSUilAbX6r5C?xY&;<ZU^mZ5OfFlOTewzR!*f
zJ+}bvA5UKLzm~-)?(hq4!y;&OYPWH@vjwd0S-CA#MHctZSANut6vg-9n>5v%%psdE
zKIGMY8Dx){{Mw^0hKoKH4=&rAgUSJ=xG!I&QMZ#XJzP#4Mcn5%q_vpAleL%rC>@f<
zp|&IZd~^wXF_m>fYo!^aB#TzHGNf_Nd2Zt`9Z76{#Y}8{WeVQGcG7D;N@1^&i%IQE
zNvxl&dUGel6duzrd5b@kLhG_^SFKKwFfxE=ozA=oyqIwH^|>yE?66rcj-M1>ioMbo
zecA*h_%B>5x+#Uq#bIX0Eu?X6=;-Emh9+>M@UG|PW+_a*Elu{;ltDYDU2EM74iIrM
zk>sCJXfQRo&`*=a?$6-n9mj!+T@i;uOr-I?S;OAVEIB+OV)|27hXYUldsMn`TpEMJ
zB|_J&A>)Jtd71afk`I?Z6}a$Q8lODXJ)m_&9(i;7?N8^iVUND!FVTH6nEKH9I`K>a
z?b9SRZ2j4AsNu6WTTm92v^DxB)s*mPwo1=u9X7;G9_F3BDT^!GHUEVkQ%2=iE>vwU
zHdvQxe6tUcL-%X=tD0XGw`zVT7rtdd-uCb#0&Fr~7iv|yct#Dmc)scJHL<|O?&~p{
z%o68rFFW0Qfr2fsWENy<SkSys_a#z50sW3#dfBp@idR*CSY5u$f`(;r>ZM|eI9gz}
z`rKM|+!T4J>&PP(EL=5E*}_o5`SF{ROe+n%MW`1Q_OW1SM)L)?hcc$U-C(AyMZ@UO
zUg6hsERcO(98`H+1*gwsbrmbnap>FY%`ygT_@4Gb*yWWfCLY^(AW4LQ`;I+2K-<lR
z2m35Z>IxK8bMa{ZInO``J(JgMEo`{_rSsGJb_)8+|8BcIrim26Sd$Vx4&>sFvl)k}
zc;WP=HDj$zB+dsNSG&RiB}0eh_Mnc+#0LhuPzw*IOuSyNZvs|(r)O?0sAFZR5&xsD
z+IV8iT2+N-CP1^hH&uII14pvuzt~CZVDPkf^20r*ApSN}>)Re0GPwRm+7;^{cf#Cu
zWkWN_H%idHtVPFCnRag-X<aPuQf2S|V+JMHE8cYV(b1mMx+!m?F5W-oqZ<9(99pcR
zL)`Z<@WXjylj^;?IIM6JWXmkzUb?LRQvpqU7ta2--Cq}Ne!lr|_k<;|3>IysmiTwb
zgSa?C)<svjj7;5KR<P+zp?m7ICMNr0_st7BXu0WF&bWs)gy<W@6xuRzXWdMQ!GtzW
z9(nRtUdslClfIUgMKiJR+|>9Ler?R)v*@1qzT``4W_Pb;F;RTp@2mAsChpUpb8fg!
zz*%`xnnOAhCxaH#rtfQ_mUNBI@+JTGiDex49?V3?4o<W676xj+Nih!$14vz^KJ`n3
ziOROmjx~R!p-Kebse}T6v^2q?ZH=0U;wp`uJ2lY07pwbP04}7Teq`jNiGHc{w+}v1
zvH028P3p+fe0$KR?p-AVHAhGDQkVR7h+VV3Z~|a^`%Gf#G6tqPXF%P!3U+rY%X5DK
z$owvqD&s=Ooz9OIB56t(@=KiT`~qM;KX~(E91SDxY}ycTQXcuAyN}ja0UUn(e2v#t
z4HQkY2<kSK!_I;ci`N+d*(n^)`6VuVaAMCXs>tAmM+dW1HvvpV6hZMg74H}A&--B~
zg=(TV+C=C8w>l&!b%Ios*UfQlER#gP+HP6;b7G0J`3KkPQZS##aDZMWj@^kq(!wqT
zJmhK?GcHrb6#vh@3;RV;*NZfv{?G<$=8jU&N~++l>;8dG4}`Ii?Jgd#YXe8+8On!_
zDdBNS)D6B6A<V20b$pX;4aZ|-a=R52aV(no_3~~(oNgeARPkEFWT5f&+l}&g^5N9^
zq<#U+v&*?@9bpCW_k^<wQpvbhleNqDm;j!o(g&gjEMX|ss6S<!9Hu2~*_@UjfXDPh
zQj{GnK~DUa>|n4gN{qT1nN|s)d_+X$$XyFS$>CMS2{LFNVMxSM1kosm-_w?{q}%Cq
zwc=`N9N#Ff5m+aPm!EnklwL3g2f-FqA3<rXIWKVWPqGmDQp~e<NSTA>46ik1?~<Q?
z+`-M+EsTqod5OUcGw7qNAJzX$!b+opUz0~gu>ZImpTSbDy`pCL@=hKJ6@8e6?RBE)
z_b9dKYL+Sdz0D)@%8P`&9(SkM(&8v~0crc?P2m&s?1^U#5}J9+{xdozfscOYyAKtc
zKu^Y5!v=8@>fO?9Hq4Yn2dWZEn3zBT&m>DsjD)2%QN262kuciPqIX3*2VzRs@`+GM
zSWNkqn6pL-#oeaudO|qhp)=pdT0z1uv*|CCS1$1?TjKs#K@RK?4wO+yC1Hn9&0Lzd
z42r#1_xM%82ECg_&07aaxZ&2DmW+L}`1r?&FtLdZ%pYqP-+~mHUfA99_KF-j7Cf<M
zli2X~*W9K}52Wx~>p3yA@g;8C@@u=avtXyLz=K{FX?z>hvd7a#0Y$9$t8!(sfLHnE
zOUEzLxcbrJ?#@z0yjq<l|Jj=bewnhACzoY#`xk>!1Ew-Y-F6x*(__J!@9eOxJ7n?U
z8Pe&;bt?GwdeFB&!YttImW^?6lf(BuD@RTQtKs;Zr(e!@W0)WHvf59Ou}`soSJ5d7
z+WFX22YoOG<;xAl%besfvNu6OI*y8g{>`aQ?~UP&Y;fy9fCBC<m2sMkP)AA8Uyat&
z#&BWcUO??BMWj4Ce9AaX0|P#EG^}1a_q}?#H|ymRNB(Z{joVJcfkM?Qr&ugFRI)Ma
zoURJ?rj^!x-c3g}@u0)x9ZUP01mC<oql&|cl@9Xp3>2N~m-({9uQQ!boa&cRFg@s_
z99OC)GNSUFgk;&EWc4ZCt(Afi&Fe?!GMG4M1UdFc*dY7$%ks|CRMhQdiQZ1vLh}~q
z4^~1P;AfUlZf#M=DspBqB~BY1TR#40SI7a<ZHCidBMl@hh3NU-I%vx^^w!?p1loMr
z37dIn_+l~L{<n%QO4{w{xh84~w+eRXs&~;a<Ct;P`37CY(``*KWD1q5L>+ar>DZ<?
zJlqU=__O-+FAX#UUfK6A#Md)$aPhe0>`6U5e8EJww89($KP~$$BczG<pYNvY-qOSW
zq9cB+y=DQg;{4n<UDw34@D)v)&*|Z<1o7RUN-bgTPHp+T$rAtC=W$`Fzw5g?v6yRC
z&`SH~rGA5n*Un_=tti*UF#W+@N3K{yrl;ig)x265w){kW?T`)zerPLnKW_s~=HVSl
zR$6$W!14v9PaBW=gcJ+zC!k=ab0J`@7H+RK{@i#@3sW{+T*y}kn6SOyywgPsb6h|8
zQgoQex8ihN`T+o!eN!|gB`wt6k=UG-%fP3}w=a4%0Z>e%xdxvxF}?Rd0)D5V?RjD@
zXAwZzxAUULdL}C6jJ@Ywnk(MK=fz|*Y{9QVKf}LC6aPqC?JG&5VuxChH^<r*q+BE#
zTgjSOe*S0R>C0-k#_n6()N)&J{<%?OxhDe`#xB|x1}LLUZQ8~rGh4W_t9U?RKOM^!
z59Wz^Dd6GU$!IFY7WQ>B%-?0v&^rB-{j(!-xIL6Rv|?`Q{y}F>TjXn?goKEb(8AI@
z`(wZmS^>loa*J}VsH2%f6f35lgq)b8x@B1a1?yf57~h~`&cc|d#YGAHzM?Gn!76~8
zQ-$R2+Z41g^t#yMDT+zMr+s9E0783tk6k#VhX4I1@G3Az2raVfWCG#{a1ZHgn7yWg
zs&OQvnGgX~OPsd3GhzdOC)#xaCzR0KT<pz>JN$Ukz1Gyp)&@LHrKgi@6>;3|Mv{9Z
zALbVBiyyya4c@QF;j&foNb+63T<H`q`U!%9@S+vGS<{fs>qy3bzEPXZ#CVaGK_BW_
z%A2R?RYC`U$zsvpww;A9dGO5%&jVTyEg^GpuZ7GL8Jx{l{pRtW2M1s8GDI~?_|vX>
zbFfkxuibY)8m7mKshwIU)s8H2p=CJtz#}PC8rl?Zdz}}X8h*@HOq#>htlosR6C~8)
zZes<m<wM1${L_!U&4ID*7Eij-Qa$XHb_#<ZCsz*goqlEp<;izsDd!|HN0Z)rP<a_n
z#J=lVXKe;dRnjUhIY}f*XmcsD1dy^#{H|%0DfCwgNNM;>;FpXjbNNs~%wL(T=xbyO
z<ZvgMxMpz-)bG5?e_sfb%)gI~SDL`4y}Mq|`HEv#o5vwdrU(X^9KO$MY6A0$)~Yqs
zrJQ!xu`2MkD2iM?^t=~2@aDPc?s+M3yz@d%Q^#8zEi`8eQ&({yP?~br%|INtEPGLT
zTU-)%4*reuc*lm1>2W;~d&N=LF=0xdi-d!x%C3aQvB4+D>_EtSar`v-TV;S-3N@xv
zOeB@q@O8aVU;F_H?A4*)DUgvy_ceXgGxaP8DrLH;sYv1(xlijd%w@1Hs^gPu7z^$O
z*FH4OlEje|o#oY0OMFTFZIq|Pg5(h8$HHV1Mu@%tYxYPEv$gyKW?vY?W{nMcRh1-+
z3YAkZpvYq^!HRl++8A`zS3<bI6i%mF?!BC?fWq}oB{M$8u$E+OvqwW3%k2G94l$Lm
za{TAk0bOHwo}4d5pO?lW|7@)zUCJ2SRNCbxU<@_U_Dut0GMJq9)5qwfDwdf%vS5BO
zg5dJmjL8XEG*%on^WspD)^uLi=Zz5vwi9lZ++?gG-IDXvr()rY`o_suMxeO)1l8X_
z9xaN_awsfyoH%n+jq9Be>=F9>g|u4%t!hMael6F)|0I|(Pv?z5XQ6ZZjdn$J<sQ_@
z@ulIlZiS#snlZ#t<=?bfDx-EUan~)Ljzvzw4cGjZ-aBRXx29eNdt9?FRb62q_r?Cg
zoi~hup|ZJr`Fb_fSLN?->eR&Ri=-3-Q5Hm=^?&T0u#`s_Iy<h;GBI)|IY=dm1!P7e
z&r4q_7Q7QJzpA8-q<2@kt;E@&)4T8JQ9>Qhr*MxMvvklT`r>NGN;X(si~knE(7<Mq
znE97xx=a4lI-C;D0onaeKPpMk5c6mu9&|mdjNkq7vDH#O?eomao1vjhS9$P*X+50C
zXbI+_nL>N@^=F9#bUYB7;nR9bAFCL{>4|D)Fq%;G`TZRRuC#9J*5x(8jm~l}l6B3&
zIC=#&CQ%dRk1H4OSQwz&wqa2xCkxn`Y5BO&nu#af9Kyp5m+Jq8efk$>2@N(kJc`~i
zv7jO15p`4_zggCAojhp;e)`)lwnZ%EsP`V#(k}WK`ftO%BURRLR`JF4%0VrB8rnnq
z7@~)4JX7`Xxef4%Y^d0yp^X9YamntWi)mh64k0fI*q>>1cHTi7ePdh+?N{2ExA$FR
zX8^#@KiaqTKpVZj-ShV~)531Wq8Lis5-;pdS*wz?F|Ph;ncH?vJX{twbcJdQhAe&=
z`aLb&m?CS+Nu=YsQIFKzAX^yov+x-;*TPFd?e;cDG%zPyOjGi-Eo8bVyVB1wapm6d
zob;nq>@S!-H&JE_wOmrR9o?GvD9(Gaf~JP6U+XpX-L{2R3iIL7Zw%~7GAW1(RYD=<
zeAKyW3oC3+9Lt!a<Li4V8Jy2#+<U)uRYR&RNZWb7+PcIulfv@L3-@Kvg`B6?;A;y%
z&vGv33~As{e1Q4b2np|AQ7hh0vxUO;6ZY{>)Nyd7Kb5ah9PhOVec}AKl&8wB6!KrA
zB2R4i(ZN_@e5Iy8N6Q9i`qyTimqo!?^J|(W@0Ve({^RT548VS@lFnRIMd9f5uf#9j
zC4DvCI5JMa3eKM-v#-i{dGTS|*8*<rxAz*dwIpB<&Wj%Uqlo*kMycc0zxt3Jy-kYg
zHgL@Gfb$!Q0*<@?$XAwMsE-$rF8?!N4fjtz)|Ck*W0!;YhlvgI^~CD_wLV(b&|iLb
z``0d6<kCtiAM~25pK&Z~_K&rKt<mJ9&Au`?%_Ug&<Hw(R!swRCNXHUKHugIg2}`38
zC2&YiX|CSSjX!S>%@SUF_}YcNCZTj}L5xlHTzz)R=(hBD3z#eU?eeQb60L4iXh-kN
z*Qd9gRF8aP4sjz%PeU3cuuWa^C5dmLzG(i*GcOx+_$H?_{y<Y42etM`4&^S^bE*`A
z{ff=Nxrf(L`k5%cEER8WFylh^x6Aqq#La+6<=K9qNCab58(%HhaN|c+3s=2^rm$K&
zmdt%u7%OgSMl<|)@P7aR0RR6CS9d(tZxpq+*Ldx{H}A0LdySBcl#$UwQFcF3M8n94
z2t`?yB4o>mzE2^tLP<s;N*Se$Wd8hnKj-s2=ehSjpL5OwrW5x$m$bk{>V|gbUuN_x
zVAHicgBA%N;aGF>)&l+@#u70<X0*8c;`#e2I>crzn8iM=38B0?A&EF<<imNGI%yvR
z+Kni<W#*{~0`Yb#@5h<Y?nz-kcf^SFIwhAmzH5Nt%LN_W5ECj3XsA4Lm>J2R$o>%@
ztO3To!56bvnNakbNPB83R^;VkH`=$W4q`j3L-K~q=#PipG2Ko!WZa$hA5*$IgtWH`
zw3IL--F7D>?Q$I2T}&MEQdS3%gC=3+hAc?f;&7wBD<?WlZ7?kIh74AB(`O4-S<ulH
z*NTq;T&V1=N^poD8A4R}li~(h(TK(KBd2b2qgW;@hh|<fnBM-Qdhb0O`q29K*{MN1
za@_Q*I^0fzp0>cr<6G>=`%OK&j|?xGmF-e5i6B8z$Jtw%RvgH@$nDcsG9U7keyVDs
zO9DQD4P)UGoG9wK4dE%L0E&3YzFfUSgd)9%(%J+r6vs@P^Yf`7dgDbnQrbg=d+KYO
z7I<z{sHk^>$6FXhuW*>IJS4&otu_IAc03Ab6KOXv6h$3!<{JOS65)0O2&;(lpv14r
zoO&d2L^5#9Q#nV3bKY0`!pwNl_Y7N}=l3O$zFS%UK3^g*GiFa_MDro0A3FH&jgn~a
z+B+GBJ^WAgmpnXU{0Qmfr!-DVq5gVPs^RNIu$MV>)#ZR7(z*0`^boHMGU(A3F)1g)
z!JG@h@$ZGui+?|C_dCg=>ZH`;i{FS~_3lxoZ>R`jUtYD0y)TD)x8j1*)k$#t46UOJ
zQ4G0v#V<&#$Rq3A3hMPt67bNyR7#|hK+Ri}{pMDR$ih3h^8*JNz6371IV?+{RpzQJ
zj(jClw%p3u^MDK`_7`qQ|B^&fgusjb3(Dw8c|C{LL3JpQeQ<~4j}&^8*5xChtcp(S
zeNVv&Y5>o{pWb=@q|r*x1zg4<HN=1EjBU%d2Ar_9%&Vi3MYReeUk|ttP;IRDvzcv8
za9Mabmc}fHP9zFM`3Mn_p@<`wihwpKSiZ`8%`A`l3I+<r{fWr;&fzFFD;*e^%^u&s
zBah|<%IUoGiAZ&-;BC=OU7+(6HBOmQK>nlWubPz+(bHe$Qq|LXuwHtHRQ^;E)dmq`
zGj0-*Nl8U~7{vfY2^&Ji?n;RL-0usQ%!$Y~&2E(bo+0>V|FAFlu7un-mg7qE2`HE4
z@BYh+MldVS%yQOR8N~|tCR4kpp}G1GT3vhq3kQ$ML`5s3t%$ZNF-!%`OSi?~p6t~V
ziUVpBmC^c_S5zV6O6cznNBwa{V>mq3gLgimjE>~jU(v)A&{S}>zh#Co3}{m3kI*Tj
zQZ?HUuM2YM!qHFL2WE}om-Mu##|0&%>i={wNk|5*zswNkkTik5KV02Sm?9FfVUu%f
zkVF%&+PpoCO~5^ON{DYl0Vz?(n?86ghE!<XYt{CffC003klDCA5)iy%Y3eA1ayCM@
zE%Z!a(b?GULyH`$+yC0+hXx;tNHgpt@SDIp+B+FdiL$8jbB8W>7&p54d69kKi!l^D
zKGiz4Uk14<CA1D(<B;r|Z9JvG7_5u#G5(~MMjtB9*AJyIA=VB~V$>mH&=)5@SlQ#(
z`L-@Nv6>cT9$`4)x&_dyC7X6AL;{_5$k03QzKgAkvz1vF07Rz$Dw7WuL*dD+&pKw-
zu`D4~<^TZT;f@jgz%7E3UTg^u4KHJD&vta?nkfL|gBpJC1krGhCGiXE687>q{#w{y
zBXGX-vQ(g+A9+q6oL6`{hnXMxS$vCZ1b#c`#2+JGG_me7FD^EV@m);Mc@by`!%4eu
zN`B)}p0ey_huBw4pZEGLwn_sKk9ACFvf@TexwAFhXJ;@`mAMp+6@9qz)%wSsZcapP
zu^^)PdIpPsnn+!0pbsiBK7U%j;ZSlUwMNeNSM0;3!0GA)J$N@6Nr<@0hE(=NUY_|n
zi^;8aTltOY!o3MQ(Pd8-)N<)5Uya)w7N7Ux#RN$gieJc-x+XHASJS)KnoSll(a@tW
z7?O2Bq$>H)qa_A3d0z3(6_X{b$lh^lU_l#dEmv!5Z_y)%!`B$-nEzm1adADW_S(?o
z)_4D+A07Iltvkc{YZ-f6dRv{oNedbmw`$nKY0+%oF~?6!t60Iv{F<q}7Nn&7jCx&9
zgI*P9Iv!_R$8H`A{5PDX2?c5cmrSK-P`FmhB_`tyY-Zq%L^Vzm9O}aFhdrZ4ch1Db
zCEeV@wr!)9UdL;|nS0`46~WZ#e1oo9>AxLpX|-ev$EX3hnO(6N_SEPvEDbTeq(bX~
z$~M;%)FCZ4s#MK^8l7qG+~nt@K@y{)tt3u$@U50xnhv8zT!D4JxuR$hT-i?My+;Nj
zSGq;mb82+#N+t85O*-@}YJU?&i44JPt2qo}G^o-X^SzMDfJ#G)rdnG_K+SbOfGM8_
z)ig+ldI1ya(s!n9aU_8f6{p&MBU)6+XOc$5v7i%!u1U6kh+z5fYuxuuTJ%BS%!=AJ
zD@r!5PkEG1gv61`e5a3eNaaA$z&B1DqWFfIZs-!>iq=zS`}g#SVdv_TcsWjV%zh|T
zx|;xF{ekDF_U0vQ_<FL-l?xSg&J0{uB|sei`4VRW6Y43iWict@Mug{`Ki=I_18oBf
zqy1^jsMJd-jseGm9?BSe<l<KYmFN<Q8v?AzDWAh#KaCe%dd`vVQlJWT?ILXC4mN}j
z1_=gre)L87R`afoD%_aWw!D^)L&_5i#nGz*Xnf+7V&)eWu#Ikhv2M?ap3;$O8b*cC
zr|4^Rzw%VzzD7bwk}nssnM*ktIU|D16U$B#f>hwf%tzL@x!h<iDBaP6M;uXwc+B@6
zQ2~Q)0WP6AJX-Nk-hEvsfd<sN<qO<YK&c`)r{10y5md!(ELSBFW<`@c8KD9-uL@I!
zhxkx%nqTd0OKCJ2QfQ{$q5@P?_pgPA383#$e@0m=WRUuV2(Cz46;3#77a!3ULOa3U
z0rv88=%Hh+TxE?aJj}Lgd&Mh)QvLrGk}Kp<&yLGAp>t}`DHB$IiCYY1CSIiWF;zrV
z#Gvh8o&-1_(UEJ(CxJ+D=dF%UC?SD5gM;!GMBsl?m&ieqME$}nwzQEdsL8|WIPWGA
z%0{ewIgd!8j$vuz1RgcS6ta1K>n#cD<TBa?5~LAph>f;&4gtC35&iQz$e{8Yr>6K)
z2BGdMmXk3=)V_Mxa_5UWa6v+j+m<Z)%*L~RK#qhm=pVjjm(qmqWA(lRn(}CxfKR+u
zMnZKmq4kHOwcyEtAB1vm1;k%A;YQ*hqin-RBk8m{aL|WLl1)-XatjYq<ITy)f-q?v
zo2v`&FKH;|XDJ~bZ5CID17tLLuKQ&1eto$3pGVZzb!BwY>fcl~KN-E3vXrykF@R%Q
z8s@79RZyW?>b0RF63X$o|7NPf2o&a`KBdpAAd+kdzIua*+zJZ~Unl^uJs9?Sc~BMI
z-Yh&9%}qr5T@CLh<^V!#ZtV<(t0EtnZ-&c1R8dn>LG98VV^Ahj4G5i9MQP0`=NO%o
z(M9#K@19C~`VxJFMVU(#Wu8#KapH;s$`rsG(B_#y#gSKzGJAdhNE<us8!d~bo|H%I
zUort&u0f%^r^-lxJm8lRE`_$zlLq1?Od&sOkkO}D35~20PmJt}p-0kV-X963FnMO>
zs^ED=wDI?Y`w0g@M5mC?(Z7ecI+uI&nur2&K4s7Ll8*;<^!3$A{xt!@BBK#!u^ci|
z>httQI8;hJQZ7?(0-O6cR`n!hQK)@qu|pICny*iNcj}Z0OyZqo8PcRtxXd?>?5Q0L
zGxd+LVlaWbAa=iCR}!s>-qM|sTE<Rw%Y5t2HHPyBLRVz=bZx(O*5^|?)0jo)yPGZq
zV=(ADfnWG8ihiaTJG=ED4EpgV&sqRDw<V)5vIrwv@1A8R_Ff9DJLh-Y0RY=}!B>-q
z1yECu$BKx<1VzT_zU*!l1u~qS-+z0<i|F@TG%iPerO21?=Q<7;LFzuQ<Gz7-<mC6I
zpIYMw<@AWw-}|eEKzH<WQtdu2^bfJfY-!F@^jtE+d&LbQ|Mdn_Xf_Vbxo#W0o1CXO
z^s49BAKcrMtMyXT46KMQ;OVwS%sk}>_m8zB*Y$y-#$?3W&xkq%#U7vZoTH4pCmkJW
z(*vHE_ExneI)vFS_juNQr`VXF+eJ)z@Mufx%HT;FWRV$ugR$rv#S<4$8GA?<I!74t
z*u|;P#oM0-dfjFyw<g0^RUYWTP}B>nRMRbNl-1A1?$;EhEI=aG;jcD?b=F4>cdTRd
zV{aq=EPSRY(rEkE?dcl#dVnz(wu)WJ`CR8lJxcjjWAdA=N(){Oke4P!m$B>@oqqA8
zAqus0XoD!P7Ayp<>fIVy!mPMePxmJEQyx(}Ggn4x0#~b@y+{8dM(j;)Gb43UQpSE3
zrOj!;q0hYZgsXEH!w^eNLLf$I?0(^y>81gGv-8X|wX@jL^{C<U@^Xr$Q*!*Res$nn
zUMY=o|B781rCIPH5-BI_J1xBSs{@%y@?*x?Y3xbqpW?z_W!QXRrNWPPGB`WoVocvn
zVccBS#VJRcvCm<faWv*+c$n)sBXDC9WB%Zjj2~{p1}Qeu8E;5X`E$r~oqqz;?#0E9
zALzz3({)})A0&aRkZ--h?N8Xxv_seL_V#0TW(z9~qeKXEa5{A~b{s>}>DLMK?=UgT
z?{y+RL>P5yE4LmU!{|h~#1k2Zv3m8K4)SjTH2e6jXD5wefj`rp)F_W)U(fakXbKQu
zs*}`Ok~W6jC?VY(Kk*4;-LS6}+@}UHPq_;&e;dQHnJq#IM<%fd@gDZ(FjY84&I?N0
zyZ1r4(84s=7mRy*z3g9w3dHkJL~DFMVdlf`tp9zP#{Q*Ek*XJ!A*)iM_wVh`*k%_~
z$<My87*3GGyMw3<4{V=x+tN;Aet9Z)^Tubf;rY&!q8F85DzoK4)Tc>|Z9sRDoofy&
ziD9X_`&tnmFil9ej80+A^N#}r&n;lTNSQebf{K7|ow)*AUohM8N;@isUzp(qqtKcl
z1z5j5_Oiuv28$VDzT5O;3DY$^OQqZ^57K$gYG-S{Vt>mtYd;44!Dd$D7O$zv!$-_E
zeamJRyBq76YbLUS(LeHytjUlAV)T#am3%+2!pwo6u;-(E1j>z?c4fgupYMe=*F2VH
z-0K(e`!9x%3fsIJC<_b|tvm{QelA>MD{)O`1C!0dkDZv20qZrEXpQn;*skUd=AOER
zeZF_CRs5I?M36rpjZyuL9k{~xpi_4j+wJaPS{s*!qkD@ITJ#5tTswYj6HkrI8MDK2
zC#8W`xe*s)xq{uOSlE%PqCtoC;%6SrNkPp;?kXRiHLPF%Dhj(mhZbG?1$Hk=K}z<k
z!3vIb%sO~Z%`<=jomDJ(5W^t_o&#K$#3&mWZL4)y_Z=qm%r(rUqEr%uL`G=Xi?=Y*
zHVY4i4HlHND(x<0Ckc+uPLd}N?qc$(src!;>}cUyb=>t03E&g_kIGt{8pTLhPB{T5
z%8{u)_pMw4mKUQx&o<MbQPzD50wY}Lrc$@(F@Fg#_?tC68$*YDEpZ~w_wcBx{y~(B
zwgenH$YF6kf&oc9bDvpA<V9EP|5Lk#lK^i#>vh*hOsF>_<?lo(Kid9K+_rB{91_l^
z+_hoc^KA)(A%|&%kfmu?32{suB1^0{^B%LKAoZf#{<lQXK##>Awl#6k<h~nr){GOi
zbP8*dPlzK!oljrIB_$w3K={$n9zQ8&*|x{pl4z;%;W0Ze37}tmdoJQO9^DS(H$F8b
zg_^aQ{0HAiz*@LrrC}s53Joy5?_4f}J}Ea^zH^p@>k8!;hg11cN7<uS&3SSt{KYlS
z%e+!>)=ILhW-q_^gyo%Xs!~8#>v(JNtkU3wRdd!^h@i?~nu~vCl#p6XY|Ce38Tb$`
zY`wTBhB$HyHK;XIk#}W7fOMNI#M8C@7N3?t?)ld;zuqCB;LjyD#&YB#Xs5L=%v%a+
zybUL+(vpzQ2QQN8up%TGOj@$i$e@tbr2gAFd;Y=5m0c`K1#aD(^@*#HMU!e;w}w5`
zk!<Un<)ga<=>4~lK7CdmrA5qatA=VInzz`kglrPnzmZ50S5-uhhP19ndTFASV>9jE
zh3epSL(*?|K?!~R6PaBrs)a7qiXfGFO%NdTUf#%4K|^s#iceCt5aK^qbNjRo3_ei4
zb5v6eQT3iEzg(t;!cwygm|67UjbxaAa{&P<p6Q;u?V*KS_|EGSS`C3g<ngoPK17uN
z-Tz)!u_hYZcZNbX1n557a_8|V5y?F~?p6_@feMV6H8~TF!AhQ~bW5CsmRM|OO()4n
z^FYy5O`{25Wdy!<G6@+mFK#B!5Ygtokj2X{Ou<>HoS}q+giK}<x8n^}(VKS;>)y#`
zkoE<(xStVGOL5u^y^{h;E6e(OM0_6vRve7quRuf*w~r-!vXe$OB~z_5=k@{ZlW&LP
zKB%GUJjNKA9ucJ0XQ)1OeII<Zs*u!TQ$-6s8)xS;@#t(>c&>r>KDcB_59Kt<=uF(s
z?30@e=!d|IH8;V1@F;U5ORGl#O*!n;TNy23hPU<W?iQQDzuN5MAH(Gkld#(RH2O)(
z`lZ|nM{zUAyncY5C@zC|k`DCCKij0x_m2KI8)pidTr;uvJ0#Ji&ECYZJM>`FQhAhj
z)&!i47M_jo`6}@Pk%k}6vjUaZn&{_!CeYO0Dx&{D2&H=L@LX!<fRzs}HxrADA<y@<
z0VSFbZ67o{vd@(ZY!da?zT=D`bkp+;p_Cg*+mK2f?72aCi28nZB)|eHvKlwQp_Acr
z9co{=LCeN+y5TzoavQ5&oNH!8BSSS-N9FOrpIqru`ppPvulOWmgVgAj*|k*>Z9LGP
z{@R|jVhAn@_eJBE*Ri;WYpV~W@j#mKt@q(FgqFmsBjXQ$Vz^$-{F|HHkRRyKBV@4W
zXEqJzm8wQD{wDob!CiZNqV=x&|ECWPET6Kv^{XfYj!{zkv$^3kck!ssGd+;FdzSY#
z%Opj&-=TUZfE(z&p9%!g>Vf-kf!6QK3l!q}0FS<d-0)OuZCb%q7alm?YO)($rZBPd
zUb=6>4ZBzKvvM1CK+Hj^$7ybz^6=$L6;}&xsGe)gRgu(z$3LG_KE!NO-kOcnah>Fb
z1r{9{r&Mi7)YavG^qC42FCYJFmBtMRY?n0~8MNWae@wyO2Wj9{k^rOd2sgB_U3$V9
zqXl0*15alZ(Sh-iEcgAocrfAreVE9k1zYkaZSGzSa8^=y#-|z&qfuc`Xwo%dz4xo)
zAx<VBEKqaJoAH4A6S*&OGMZ4C^)zpxiWw&Ebq=cj=7EgK{l#yaHK23-+);izRuCIk
z7K^Rt1=Z1HD;jqVD0<2D%V3cW0t2;EA&U=IyNgac(P+TME6g7crQsl6^?t(BbbhcX
z4&LUiR0nxj68j_02`c0p+q@+LFek`3k$XxVq^f5xC+~1Vbha2r^Ozvq6OeQ}Can$@
z0uN7ne&d3WQHjVw1z|{l9kKBrWMDFX{*Acz{_cbuuY%J=;7RwoY*ix}MoS#E6F%Z0
zvpWt;;1z>tW9ppbbTXKflQ-Uf<$*)gX;p7)#o^fng#?`oWQb_{QD#TO2Ni>6;tur^
za3f`&JJp8_N-TXiS^__ui%_j(xGxD;-mY*boFap?bF>BW6M)$z0bIjvDVQ#JQllC~
zhMvHJe7<HuNaWJSAGjk8=bv>{-A&lbgD$4U7NWw?th2eQdtV0f>fiNmRFgrRiP)->
zDgqBi%(kyq%fd6;NUAG~WC+&r6!YK_gJV=(jVYaSV3oK1*hNnrl!8jUpBIY*%dP=V
zZc-k~KXJwu-BkxwONEo~9!Y?y7XFjdsscPIif;1Z&;VT3(R2QhlJKKX=bay|5-=yP
z=AF*g0M1PIvBxe_K>cp{>;j!K1p2p~6V}xPnco?OsXEf&SX|L}cUc*1O}%_Fe`<oV
zf&SYrei;yl@|&5RD$xCpN!__o3pmtH<F2mAz{h^R&B#ltU}GFFp_8QzRe_xh{@t=*
zX;;75#Ha=)ef|yR2|Ca(^b}2G$$|LcmdZg7H8}KF=XF(rE{LMG!FNaG!Q}l-p3yip
zxM4DNvN=-^<_;?!WM))=q727FtNv=>yS-cWvREIm{|?tE=PLmB_=@BNUJcB&*CVZ4
z4B*98l`$$&MYwJmA9N;E6~Ja?*R0nN{4W>v=Uq~SIXi)lZ<#8<effEl#-I_HH_{gt
zHYtJ=H^JNYyfWl#Uo6dOr$Dqsc3kj#MaZcc=pGhQf^(F&)};plEbUzj9Xb_Z_KvYb
zVTuAI#G99GRsiUIUpiHpsR;CWW0?VCav&(uPDtMYuxiD1u^B4DIlsQ>L+rA!b=r37
zm!2_9qxHjlNC7_C81qY!q+z-&P2Jkd7^D?DToNP|fPpsDHT|$89Q!<bvLM_TvRjo$
zSx?D>;Hf9$8&u+;`>(w#J<1qfx8b(`rO1KsU;Es1F~Y$6_JHZhU}GqI8TnADP!_6t
z*gklh2!P?o_Qh%kW1yMkepB^C25gF+@%dZuLJd7{X}FRxRD~_?JSvoiPGUq~+dXcG
zNWC`Fy#gTg^Q+2YwiLjuW@(uzCsf?~x7An&Fmp5GFg`^Ra{d{8>%7bc+E?kW83h8o
zZ?L(k5-R~NE)_FnBFuo(>pCqb4Zv3Dk{3fS4#}5ezhyWw0PEKL4DK-nw%A{XW#UD_
zJ6ZLUlsFw!4hOY{QBk07`k|Y>t}t8~T~jddqX7}ROtII_Mlc*2p5+xT2rta<mNF8k
z;YWm)c=uC7$o2j`a$$rYUbfiK)VWZBK|xy68m%Fu-X;99Kf(tS(JAp_FLo(DcN%}5
zax;J&6Xhq1e|exK$hYOysa*<dV}Zf%T757x6Tec}fQLEg@AA&r!#ka~)Z@|z8_N)@
z{dc*cGlCH9Crky2PdTX?g7g52-;9{&Z~@<D$YZBGD%j2lr+)cP7wGP-w>PzL!sTHN
zY7uK{V767#%h1z>FVy3lLYo|*%;jcE7N>!G<}06%KhlBqNUeKJbvP)&{kAf}(?b2!
z=x=i#9Z*m-mo9(I4(<LC>#VYLAQ~5%e(Jh5oS$B}@Lw+*B;xh{SRSH>nXUe#?{~D|
zoL~>*dpR~Zbk*wn&1?qH&wNi^8m<L=rzYA1D_NoC-G8pS8;tNJ@PG@=rY58a4*nGI
zVFk7P_d(_%%n)u6$G>)269&2i6h0qd1%j80j1?0ry!|Pv|Co6%7dsdgaJjO=g^sFP
zhk7>fGxBxU$<hE5G5!ZOX{_*AjZtsv8V<Uig#G-etN}-RAMu1Ou|l}LUX+IxC*-?1
zMK`yp!#~A!jTfP8Al9P8k*d!H{VSg&Bt6w(SmWYQt~5I^5UyUAKg11Z>Vqom7}X)2
ze${SdjUB8`3UUQR;NdwrCn2|r4ESNQeHWK-aG_nyx}kvw`o5+T13bv^h!&sa$;1hL
z0@hL<tbCBy6D+4GM24f*WuK(WIAMM*Hncs2AGXWC&4-PU;85bD(GgEBxR}R5Agl?%
zlth<ce*p=szTd0<OW+2|RZiByR3W(frXyi7hy>=(T>tKJ;vuv(|M9bZBC!8M+l4GE
z64-6LSGml{1Lk&-^u>F+)6nD_U86>V5dy;mEe|hHTVLKxrjme1%h`5@VkBU=C%?<1
z%?G*@bdIcalAvIyQD`qjf^MzLnsUMX;IDTqfNn1jlulILQ<Nb=>b^Jq39kfzOkFDR
zo-7R~BI9F(4EN5-_uDzHECh$%7}K0|mw}_@df#rHCV{loTbk%nVX$1KTBc2vh1mDY
zw7d^UFw6bcG{{60ViiM^{kr9VS-e+J?KcS$#nj}~eu;sK_sGK-Rs|5bGZ}ftkql>i
z{zda2k$?kLj>QhvionCS)@9UBhLPPS`fOuK*y^%upO04pBOHyxhKD-blNb+ABTK=4
z%JE>k=gJU*6i(&iG$5Y$e$uvrGz1-HaSa<+fdWFPOWQjQD4X)2KP)8!SwmD_ZZoPd
zUqN&`Q>_WfJW`vX!m?0zC+v@4mm0h;<?QHwq6Nv`|7IFF<={f1KgA%1u-CVqJGu?p
z5a#g~#<%4_*Zop(3LOzt=3CzV7~T6{>9#szpXI?mTB@``o(R4fy1tX_dT`-x<5~AI
z1-LWhiodv5H_#iKm^q*iUc>Y3`ksm);pKEWiHZn0{oiJ9r5M1HtANPyZAGy6lgfC1
zk^t>Vr&AOA3}G<V#-irD5@3ga$D0MIf&TNpFE42+z_7fcR@<QjDsnhy5rQf_o1KZ+
z;NHt4i}93}UrJDm%R4bzs0>SmUJaSI0saR70RR6C*M~pUe;fyJdu8vP?d}}z&e`Mp
zHWDGTkkn5^QbL22tdJB+gpi^rvPVewH8Kh%WR#VxviJ7$AABC~$Lsxif1VT1Ep(3m
z!vXc%SkdI4SkN9}^p#@Phs*M11pO);)Z1BJ4;qmN`>+vwt%p9$9riArcErKW^25hR
z>t!J^lPTGyNFP`OnU@8>V!`;^+YMrZG}v?W#4`TY2WirsNP1B$2o;JMeRh$An*3a&
zoE?3LTdDgfbOZw<21%H*TjD??(nOM_Hh|w>j`$Q<%0s=b!&OF4VXzZgbHFX?L+R%o
zt!jNapqdWjjLPJP4Ehu6^Bwwd?Iqnpkfbc|2B<Vx6M10P*0zHoT^|aPYNk|IrJ+KR
z$Gu#J6W&a&5hc&)1HnVY?nk{8a9VlwpWS7FiA#4*jPvS4U1B2fN1P-Cc<kqe1TjDl
z-@9+08vsJx3*A^;Bp{boJo;lD4Y=5Diqc&M__1@SPU5;aq^=^DS8nbjx~tx7SGfUJ
zMa;z?BBG#?BY3&Ab_=<F{`wVjF9af-3-X@J34@_dpi?Ps9qI9sdS6wj2M8UZNKZ)+
z_($T^MABA}9E7<~Y(*Ey*Vp`c9QomPL$!|B+!9jx#pBeRrY@w-xrvqL@<QsH05<*o
zMMN#b^tX1H4#btQP+G-!pf>mj6{&a;aZXMtZfe&CvE_jyN8WRR{+3&f!t^4dUD(UY
zC8iB3?h9y;KPLo~$9IXvFCjGMBa_}fT7W8StCW?o!*$?hNPE1D6tkJva<^y#!ST=P
z$VXPN7_rRFA6Y@JExoM~kkN$m-yIx`SPlWQMz<Pvc?}5)n|l_0R|DM2M)uDqFvDQ$
zq=T~Z269p_>h8s9b%>Mnl&Lz&1Tv2W7R|-C5b4<K&XqRma6GUrtj3BFi2uBWi&b}!
z{|KiRFQRJD>#Fyf?G6J7iqk4c`0XJBw%iIKBsG}l7{3wmlOF8kf5*{zQUP6ALGf~~
zDo~nNm$lvL;cfi=nC!RI(9`BC@JU(~=x$ffCyCI5Z9l8qtvwpptDA3Je@TXCd9AUQ
zn{*IX<=CHko(^<Gzfuz9$RL$2K)$g{2hmTBweOA6!<Bm0^REk3fH_>s>zW)rJf2l=
z!e3*At$|+{Lv0nvAM!F~yGjpkBgwTbhnXR3hWX;%HWJWx+Pyjbn;vdFo^70(V1Wf!
zitB@OB#3gnf4}D{19aSJoIBmd3ZV~+j3al6P!}BV6_ICzN^i$`LKiz6W7H4LNhbnx
zLd31|9Y!EjG+wj`=7f;fS9OVoL|E->4ST-A1iJP7U%B6K0j8lq*l&&i@m7-95)Kwf
z(Q)v7ImHc0)lV=j&k3+=Wbt$A_#wDbXn4LC;RO@SmRy!S0mPl#9YRZ4A?$rZR%{U;
z)CO^~Me!5hS77w~svbLd`y16}=?DOGNzgm7YGnwGZ17uK;(*GP^qui>LC`A8l^M2I
z2CENd9}A~AfhU##IzYw0LS!ir2C6`e;X0!-<X@Am5SZhFc)et^<RnqBY!6p7Z&QLI
z;=1Ms79I#Q7_IBd6o-G7sT{01O7P?j^VOV#_f@Dx4|TXp0P>+<yEIh^Mk3@q`ycXw
zV_wQ!POK#C5v@hI-YUWN73u}eHGVKv6+Y73ECrIR3p8eZN|4e+EfIB75IS{(mhW-N
zK<)ye;3q~I@IxvMh@dcx6-`|&xhM<sduYwW=gKhkvJe~nT?A|_MqMpB<v>=b_kp?u
z0eVcFHaT*|;4nv<)Exs1I1`Ru8H^%;i}XhO*we#csv<jWUyX&@sR;X@Ohou}AG;>^
zO#=8$Q)G)(6d*3@v^BgULcU-AruDESbSoVV+sVPhAh&|Y_!$zYs$3&JSeJt1Z72Hh
z97;g;Gg8%8SAoYP_h^mzWq^7De>(rHGEBU5ks>OS;f>6aJ4r(pIOlz$HI5SCX8gq6
zDq~d`*b?H=aFm09j}|Ry%>+;&mGPsu)!>QHGvv}WdDvE|kh+5-!jY5j+nPGmAvF)9
zEpitF6GdsVCZ0sF^Yy?KX=s9(csAcyC>AQRMmL*-h;X(2{^#T}Ezs%epp3cWz<GQ<
zs{9-gq+UJ<?$XkMSL2a~8So0wRnxj-!b^nRa(_17dR;JUl1z8_tN>rooYc?p1i)?|
zZ}^5Fuu!ExbW0l#-BI=fhf0*;YxnZy%XR?YIlemc2jao>NfViCR1qS+3dV440wDEz
zW(Hw+*#6L)rBb5+G_BQ6pYQ3z8?&_+lh$~!+25RPu*QPj$#>_j?dyZdDreN{lmZ0%
zWqUrVk^}sds~6^!0g(5DfBKp#z)Dc}jt;X72zg%PxboBhEH$I%ocwWMXD9aGIeST%
zxSRdySfv4|BbIdT0S9y7WWG}4D+YRYXMYOT7(iVBjZ>U0<{<AI8C`b-VYIOvv3_L$
z5`<(-KBqjmbgV4gT;u_xKhb=on+7oTFOU6ir7R5HeX9Q9JqP&QFpfR1WdOuZ_~UFX
z13X0r$`=!uVBy%w&jmC3;OSp$l>J8v{!@FBbRmES*nU5Yd7YpShRM^CsR5E8)8e%~
zSGR=--)$a^AsyVor2cdz9tjYtnDl=gxP*+{IWvrD19%)~RhaB22H(iz$7zQrk<!<4
zu`TBS^tO^e<PQpiV^YkOPgOsWDW6N-R~Hbtm;O)n!ev1?cY!R|D)<>u$51*eL=X@>
zd~dx&mLC>g4D)zF4r1Z+8h6rE4{j>3JJ>Muf?%Y@`@~myl=9(z*P=jO5OjR?hh2yp
zB9y#l*(Rzfje}pKbBlC9e`L>w<pd|(BJerx(SM{Q^02&W{HG1VruB}$0@$F6<nI(=
zT19cLb8tC|*9Jez<l(?)EKu+(m&84lPjMT4m1pFq1u~}nZ8YpmP;@Jv)L`p_PzNNX
z7T0RRl>6&jf4|TJ>tIL`?Mf-KRsKldhg}n>ICGkeztKXFt3TW*Yecve*Dwxl8i4e9
z-=^cIfpIJ+O*ifvlKC=1T8E+zzBbh&+{sk%r<V<!%zq$3jnlGo;_C42Q6f8a)*eDv
z(o$pg`WNyqY4xpsxEiblWVfr`+CeOBX<F5uj3Pc)T6oxIR6)14mAG2Cg?#bz9x4Cx
z2RS4V?uc_#g(Izt8zP#U2!q|5^bUh5#QmMSmH%fl=#)xbH09VpPJ~1S?HBw*A|`#_
z_8?>+>9%x?Dy$=1>7Vl7Da<3shf4c#RVuLH>>I}wy@o6ukxz0zvxvx0ADcR>rUGaA
zMqIu~t|1ftnF;MG%gCR7Gdq_`5_}|&S2irJB26JJ;$)#!M3IkrQ(T7x8!u=*F0QU3
zg~SzW4eoX1g{8=$2aN~!sL;`B47-L{6qs<0NNpm;w5Y;!D<Xs}M7`d7u!e+}#Ph{l
zZX;Pk^ocej1lZ3gF(ZntBflDSR2kEEkuxaaT=rE0U<5O>9`>&zcKV-El$fYs;XmHB
zBo+d2&7_Fd)@>jzcbC+|?5W`f(;<4-W6JPR)--LaXA?<bDxGtu(7<L0izjuI5>&Nc
z`^P4*jo94rbzC=~117U4Jj!1b;hbZDf=T2K^4^|0D}0<D9(MM>l@L$_^hSbpsO%n6
z%`b!`zGVcuy|7ggFFd3?n@!|j-$$%uiZhlHnPDjZZhK&}0tj7wHL$Wr1w=mO(3g3K
zK*Zo<R>4894QtPP7Kziqn1i>^+&mjxHtu<A^b7|!^K55IPt!tdXZuXC3MUxY{8#^%
z2M5{%>anUdbl~cHBFZy{3r<Df*1i4|3q2_(Wr}qe;9vV>_A6>0c+~zgb6gG!U5(>&
zqhpL9U|Dj6IfWO#?RsAIYrufJ6ID$^DKn679-T3><A+Q8xf=1_7}yG%Q;I7*1j6!}
zyGm+;(90^9wT;EVYt2LcWdjG9wXYz1>k9+vR@`pmx;(VK%)RO<$_Wz*#bs{-L}B_@
zWx?qIc_<K*(*5Di1vDu?mX8jJLx=pIgv@SvNRVEcitgYBMhW#2xoQbe&xk3Uo|Xsm
zPfXFCCwSo!b?AE@@q>QqKVu^#j)ArFb6<>h`5@r*J09{gX(*-B^31-Dfx~yE4^x^2
z;L6C8C3T`KT&`?fNnOQ&y|_>}u|f#M{#c)+9+rdqQVjjMSy%`@et9UORRmn3xCdNc
zV&Ix@u>xx(4wM#__i1Uwfu*9MqyM0%qisF5Ze=OJ@g__8hsqK_MSkf|IE9Dm5c=br
zG>VW*CwnpGiX_}U&iqc<Knao_VN}EOl;GL9T=q*8DM;l0=OD#HfOosJa$VL0@HEs@
zsS%ZdJM?lk;=2TJ(@IYE2_S-Y^6k^B;j-{gbq*ijON91jJ>AP+NRS!jck;}F9K_bC
zyJx46z%iFARMm_O_h!iTqfQvOGHrR)RZ|5b;}#o@)>OfEXy`dT1q;Y+wVR^(D$wO1
z<DAl>4%a*$#B6XXz{B`FHqJ>EVDRt1s#Bv0=LXb#KOMzG82R2Yrx6vvMo3d_H)z9$
zh(qRO4vNrv>py9}cohgA+br<u(FJ9s&tpJC2@?M<{|H(n0mqN=qR?RkQaZ1Obq^}R
z>qY!3I~@tqE{QH+rU0%)70N!-QwH^Slr%yc0Yn`GO?yA<gK?wKvb~)$Xi30}>eosz
z7))LAUz`EV3W+@s6;X!z3jrorO9e2t`+adt$q=l`?)cM>l|Zv~*Xl@_JUo=>NUg~>
z1eOQRB(7RTFsg2~?A?|I%s{^K?3^L!I9gdnzQ6;`F!nK@nFN$DtfeTk8^MNWnnat4
z0#r0+Dqe~df?~~2-_q%gV78?9`cf?x%IlfcT6VdC`YDxz<bWaIcPZ?$Y#2z3$l`ut
z$O0@(zT4H03}Mq(wEK&J9MG&jxmChJ1sRtwZMKmNA<kAXv*n@;w9IXpSyap-qc<-Z
zhcy_$wjg)@?>H&&DR}+vbw@Vh`o?(A#nb@8UwEB8Un2nt1`hd4p5qkL%3n=ft@^<8
zhY&eDEe4kvE%378%M|sXbGu-y4-HCB{`TEH@aneb`m*pAMLl+MulT@^1N(QhEUg3}
zEj{aAXU`smg(S{<(hy*?-23B#H7~3d8B<TuQKJRq_#=NFAV92j3!i?#1s@G&S$An@
z&}h6_SM)PISStnLY&v%E(vzeo-lIX46HeW<E7gTzl@S*;S7uNgJpH(;ga+k_&KdFT
z)`9#_(;UBv^njhvwq{GCLCw=|Un$?y24m&S`_f+2z}!ZAP1BJE4Sw<0^8-;Er0zWy
zbLQMZ`qXgwj@#7enGWwQ#>-kDHhSBrgJuo!C^xkdi>F3K{bHCniZnr9<4*M5^aaF_
z{l$56DQa|T@DXadr2z|ft38b}ClP{LVxv(t6{>#J=%$9525j2vWwl|45WGZ_gVz}<
z^!HqzgU3sCsQ6{7vN_(4To_rJiQ}O{<u+v6uI#Hpk;O1Mn<@#}a@ZS)tlp<=XN|qs
za8U!ABN?<_ai1uy*N-(C+}@`Qu5me(x2nP!Wy?{msvZgh@kWw}&pxF^xS8?1nkuA3
z{$MJ2HB7lYasO&(@;)W%=Pl*V95P^S!CJ%l4~1hWddGKTpOW`HG^$OE40bmK7hc3q
zQM#YiX<C|4p}BBtlbEameuU%*{g4?-hmcq3xne4`<$-j|7{3ZYatq5(@dZl0mi{Yw
z4QiC_i0SO-gFZ;D%D9|1vq<6Qp=EX(q((DB(h7e_kRVLE)!|RkGNoF0cyQ+h4LXDQ
zbY&-x2ts4ANAvtvDMjmpUbIoPsLY@HdFt9kcosLk6QHq9xqoec`{P48ROOb4+Wig!
zq<tE<4rJP-be=lXTUJSr@_ul7wR4^TQBEeulcu&P&+XaD3K$qsPGPUr3~B;6&nKM>
z8``0?Oyk-qx0%q3&n8;A4V59GyxgQ`evk54Os2&|lm$IQ`YKuzqXg88{iUprs8Dz8
ziA!6PhtMn8?NM=qiZJ(qaNE0<8vWMA$kY3q4Xq0M>q)Jt2uJ6xmyhhzpte7}O@){^
z(Mf8<_KXZXxIZ8EF><0qBY&4l^l5UToaJ{p1UT^UGR}EA{yRPDup^}X{2n(tWn*Fw
zF$&;eVMyw`z=*P|ul*Ob#)Brx_x%;)RRF1PIbp{nnbCKb`2I9T@S&uHhk=uCaWLT!
z)~LSEf*uomlb@j>fPV3k@#3<^!H{#!0y_g6Dr?nx*M&<6&2Nm7JjsNEkh-X}Q<@y;
zaO~;m<J=-Bzp@{Ke#e5N;Nbe{4o;LsH}gWct{9pV(3n+Tf(2EY8{vP2xY6vK&aQzc
zhf!6Z?>}hru%M!`-XI&wgSsloWskB-qK>m>784(_@Fv4!t(~3^oz2eVh;Wxek7*oD
z5?;cBk$}Wl$Qyq2zG=3zd9O5Def|RPkO>a%=-1uOzAT7#sx^+spOHnEgn5sxHRC|H
zX8f<ItuRU=IL8ic$)UeP>S*$>DS$)9g?T0?QMB{<a>M&K7&J}1ui=9o9ujd+s=wbA
zN6$9&=-YeX(6fi?c6GcD{A9)1Ip`sQPLu<cvl1Rvy7lA9`DP`!jQzbhm?nw#K8>1r
zxUPs=Ke^{7twI3w>Fsl6!&2zEKx@^QDrIz9@|Ue5h6sF5pFiwYltCGXzRy{e5zz2B
zZ;MSM5(LHaT9=2*qJ26UpPg?J(Z?Us!zuSwK#BBQz37)5di|baPd%1|GPn+}oZ2LV
z6Q4EXKN1F|U*i1hTR}p(22(V;V%0$WVL_iwFcwXhsWTWAP(e-pDdbKYYry*G;J2bG
z97?pb<9utRf}XoGgsT<Sf|>9#(UCp{bZ;Py>J(W8y;%PdpH8I%q1N;fxGp@prCZP7
zIYL7D{IrK<XLO;sq7>RP6w$vPm<wu0NNAml22)K30#4q2t;r-MRD~_neC!+%z4^(H
zLOyU)fVa0tNu(0$Ii!dCsY^iBFY4JmO4Emji-Qe%iAv~#&7~Z)RuR=Z7464wZ2-?m
z^;LVPl+dq3ElO;!aH!^o4wjZN1E4yc{kW)C5hcV`i<?-<qsHAGmKj!t5UZ_BtH7>^
zYVE(sM@OX5nYuf)KNAh1rgm}{M~6o@^Espq{Uy*M?1`6LWrm=6+<fO}9S%J_Q*h?$
zIbl?r>Dt(zcZPs=k^U-LV^P(?C5b~8yeRjV_^g;HLzrSA2XWWRqo1vBBx}B4Lu0-i
zD$+1E1jM%6;sd7~dgr}=9+s94eP<-J6FP4I8Nqput0!g9j1n=Cry1)M+^3tr2Jacb
zuP5`psVPz@&O^{;Vt<VC_2sW)h5`l<7gw}mI4Xhq+%=LjqbovYwuOThGW6m0iBwjZ
zi{fa4heb`l!5A_p=hkd1tq<o|JrEOB5mcf+!4RXgfTTG!R<P#)B)U4Oo8bk~!&{{^
zqbn=OrP~h?7CZp&-qRn0c6?~Ff5PesgAHW!LsN>p2LcXwLaR#&H#$e+qcEJ=LX2!r
z^=;nP1DyTwdJ|(#bimZ;vi!Ym<oW4^0l!pTz;y>VO-Qh!nQ!R5t2ee0{*%Kt%M=~(
zGQ2dxbC?M|`dkd_KfH}B<3x9YXSLy}mB3<B7#(`$?TKI&w{7I<&hE-@DQ)=o?)hZa
z5o$E>U8Y5H&K7d*X{cA@SuL<}KjndM*r9Axy1HyOY$9c|@vI-RG~r~F+2PcKIez(b
zHBPN#1G#`QSD&8KfO&Dl{wellN~*@AXNf=7k@IaC^V*08_;0+fUS^r2^b#%=$4svw
zm%dpruO+I3Ec$khZ)$=PdH2_nFXtMPexcZfu%rfyT|3reDI=6uZL4pkZB~)a)oHp^
zTQwLsbeEll?FYrz%_26kbOi}0+YkF!r3yJa%WWq1EtHAJHn;ZFR}i{wE~5z<RiN_m
zX}ZXtN15)@D(x6uMhJt17q(Bx;Fj9>x^<u!X`W}UyjZe~JgPl5OUp!t`4F3AJX<qj
z@3^q~{_Qd{yH2^+9;^a$P&{*Vz7xSo|2u2?Wf}2ly3hV#n*>$?ObY_vdJzVZ`%R&|
zD~RS5)t85Fk>J;b;>?gEgGdcdxT!931-X{P;Bsk?2o)b+A(iA&<oo?yO0d)_q8CZO
z<`_YQJn_xxPjAK$lZ)Yc|4pqTLfrzET^vN{yU!fm#5#eP2fdgv>0d)06|nm@r4yj)
z+7aZV#}vY~Z!PJwwvN<qWL}U_CV=JoH(Hv;zX-n8s@GG06Pb0aeODi)49AYITc5(s
zB3T*Nn@AtFkV~S!2-B5HFtNnqEt@ruXml2-XnF1+h*l~`$($k_|J*2`BeIBO`D@Hy
zG}}Wkb=j4|ctsGC*m)~{V+qMsik}lwp@QHuH%zfUc))h5e#A~JBba)9*_JcZ@Wl1T
zkJ)MkAeAkS*<D#hyplePFy+wz>5l(QII9Busg10B$G49BHDa~#5vGIBMQMS&=W*~C
z?<aD8a05A3g`b=*q=%8$@#1}rSeUusw*B+-7Q$R{Ev3wx5qi9&XN2%rxKR2dq44((
za<$*}=EYOY@HeroQR^878q@kzKVkO~>(qQ^TK_|EYJ%WU&W(Yaq1ei|->JYzp4+{r
zg$+t1BmPPy$itbVNyJ-<G;rF**4G@z3H4ou)cRub5GVgA)+U!03VI@nisQK8drXti
zMzI`p{|wA^H>L-3)!Pa-0z6>GXA$RWBL_ovXoUPBMo7GIHHoc}7qT=5dj|Gp!S(2;
zQrKbw47M_PESVodvr83rYGfg!!7?FP;1IZ>W0xkA1>xPxNB!^b$->7>rtjt+Y~Y;}
zSE|@73>L{tjII}CA(uCdBX5=i*mZtom&l31lP8}!YMo_aO1_-%*q#gief<8PTJ>Sj
z-rL?{z9b7o(i<kRK5qDRdCQK$KoZ<CL!OC0l?CYSYA6cih4CzZzqxuTfb<e2zcE>e
z7E8G5t<MiaE)2f%|H;6YrM(gSNjYf!S6FVKBnVN@)vj0x$-&vQy*I>FIT-z2C0=hJ
z47;aGo4ID?p*+&C?{Kp`6xL8Awu41sNUvO?y$=hvDmQhHc42__IjKo|LL3C9`adIm
z3h-5=#p0eM4*c&+Qk_3=ct&F5gwVJm=myXY2^{2SC&WmgnO6$ZTIO})*Ob94)T3YY
zl_HcrdiTg7L>l6mmb!0J5#bcg+^pDNWhmmgSR=S411}oCek|M~LYbny+q0uY_%Yep
zSra4&ti#nmzKoEdY25cMQ`^CRmHWoyKza-aac_Ew<f=foV!FRw7#VcMyM-2_5Au~@
zE}m;d2DO0j<7*yjV9+n<#YJ=AI5Dd5t~X>*lp+j}{WV~cZ#Brw6%U{EB<PNQA;X{b
zfQaX>wcz^X#%|XOMUYZ7o+V|F;pgMfCp}X-kRp7do?NU1tP<ag>x9W*;HAskghybt
zy8bO!gff(8xU<ISs(?fH&sw8GfKZyF8tlvjFmo+^Q_DmGD!#hj%VqkYa>NuDD^Gw<
zM{eVyy95ZMj~TuH%;3PqV)!Lt0`#`?-qi|L1On&c(E=w!2=)E$$KI$6B8)6Bn~a4U
z#;to62X6IxET!PEtpw-%O%|6zWkLMS)VC!|BY1DD#P)Dh5pK-p{HSo3gkJ)mny-Zz
z0rtmo40Q+|D37J2ghqsc>=JSOLzoeqh{QTp{Kmn{bi4*Jm<QOkFrURv8^Nz*@`c9)
zu<*X4*u18K8I)7qg93Ss!2c#}Pb$a*!t%OEz<39FYVMz8Ut|bQnxoccO0wV{b4Q7C
zZWIxjDq`Z*I&ki*vsH8o(lB$li<%rYNO^cZ%Hl+&0pJ>WEY|Rn@TlcegDPQ#qD2l#
zDONOqLou3<r2@sFPp66BjC+qV5PGFL{)ImL6)!v!+b9einX63-l{6^JA<;5b{saGR
z*k~CV3IKh7GVSb1dURtWFJtr}KrnIhzlj|lc;hB!#U;Xs7VD8u(69hBPx4+=SmlJ;
zFOv4-L?(1+GR?S&9|1}=t#!#MR$wLZ%90zIP_~_cni3g3xTidBn`p`i$k{rdnH46K
ziZ7<MOIH`n2YORmOK9L&Y@zhAQ6{u{HT6upiw>9!9lF1Cco#{--Iz9i!G!+oc%91}
zuMPZ~<v!&ltB7xmWuTo26Z-C_f_`7K7KCL5!jj+|;zayg(K616erT#<4`<Q>cB`jW
zovOc)3d~SPZ3H7a-5l=ZWUUF`4Ne7VI&~ls+2zeKL`GD0`^fRS7YEM8?NKnX1r+Nw
zC-)Nz45+K<W|aJ<I$YAD^XTsHrV!?%oP(MfP^#)_gx6jjJ|ZbtTY=vc6AO1!mKp}M
zCFI{vi5fLvf2Mm!muZ@!v~pr#tDOO*UremrkWqsq<~xfO&hwN{qLni-G>j-JUXoz{
zL>1P#aLK(XOO(b)#j}2=7|}K#!yQIuRdB0DW2tObDfg0s-B@}V(QoO5p3#FnT~j$-
zePnE%^0VT?M9@tpv@`rWrj?ouIXwbGZymNM{{sL3|Njh^cR1C56vyp#?W~N9%e}UH
zx%T)TGm4BBDzm6iDYGI`AxiooLIW8|B&kH-Pclk~NXp2_-g`uT{yoom&T~HJ^PJcF
zeZ=@4xD1-GBlSDV7Dd-JVCl_~IH$@D{IK7Y;~^RclC80$#c*qYw7Z=;65hgRnjb#o
zuq7b*nx0E88S3Eeq<p;fEgdSVRvC0o;zWi-KXXh?9d1?;V#FrtQP9PKD{ai&Xi{qT
z7qfaQly@9$%Oo)(UJ~A+`-BIjF-b`zAE&}khnxefeoTnDbqy>lcv1iN8=9W1REW4U
z<J4cxj5vt(80R}a#A2G~K3hzIM5}MZsY<NK^K-=matA-sSgPK*<wAig-1HMSp0c5W
z@q~wqoC0Y5KI_$oJ1BrBU)WkU;XpZhc4z;%38Kb@XFa+P)wb(ocqy+E(6WcIc1W8L
zve?d6BB{Z<f%?tkO<d@w?VPK&mk9FR$@cX`l`4oUa8~@R<w5IAs>icLMUkG!P+W+Y
zDlmDGce>2;qWoufeWd5bkpCHLRT@zhG|zL`qzdt))rhjHsVNEMG5yNy<&p~cG&{VO
zw%>tX)uo4BWR*fM**^2R_o)Ei%NuLH*#fAtJRta&qBIK6xczBsNCgO?db-WrLWpf=
zy(_D`4084JlPzLbg*~fn3BF0fNMJ335>r4#1ydi@|Lju*TyIf9O>-w=bQUUiVw6Mm
z?2%O$->Sm?rbi)9=0wqFuE)1N`I1ocDwl1ljT*QejTs;NERG)gE(%%<l99&78{#)s
z3cL_3{vKYn3;lN`HbU1^0g0{Oq7#UufcuKsm%AsVkom8n!(T@f(f)q<juv4m`0Zr^
z#}H}6S!n9{<+L)2T$#jVzEGjcAt>%-vJ7&+q4vq+j|$p#wYH=+QymOBq_WOe5YeB!
zdpAjY)esovnaLz-K<}^i4$nWb2pP4xGwq?En`b6c6Q0oE;<HnC4)BnW{P}xkW<M#&
zacx!m+AmGeW=?hw(;}mXwN}nC)>Jfc&wYebRU7g{ns{{&$fFAX&9|R3sA%&WQ*dI2
z4m7^qa1-%RK)+*Ej%$3RqJiDIj1Q&sK+Ar9l;EU@YK(jYpTDJ|WqKFpZ>9Q>Yadpe
zOI1Rn-sta@OH@>6U)MBkWeB>?7f*-&Q9_$hlPlBAROH7$|4pOI2-s_AR*~E9zmz8v
z-sDI@WO~>602KhzKFg>1Roipv|7rbvN)>TASEeTS0yuu^TG#%mjBKUl%45GMqfv3I
z6t7Fhz%5oBxTiuH@oi0I3mjEM90h^W<Sk>c@W^~1;HHe`wc?*&DkGy-X-hAAFB9;6
z!<x_BsDzxi)Xs)Z%A(?~gDt<Go50CRfBM(-O6cNO)&wVU86=aIDecv10<}u)ZO>Q~
z(T>2Qui46XA+ciarN4tF&|`7lezsp81-yT;ULLX&ndjoBTWu!LY>_aXm`+A^-)P@y
zj|33+Q97tBGyw(&xj>=;3BAm6@y;~iMGIT;RUBtcK;<3-t8Sw#Vzx3)x%iU}jjd%G
z&q|xX*JCH5Hue)yk;ccAO>+h`^K_%d{*y7}HjiV!eo3QTPtgmv;@0pf|2GHUoiGOP
zS_y9}Zz<Fh9MU&@cNQO?5=}JR1ZWYvqIhgm0^K;_hlh?2;Hv4W8?K1}Kkl8+E7&83
zWF(Cjd8WVO=ZziMWMl!}Pq@9GsT4tUQj3RdCcUt{>uJZh&R|d>J2qbCD1?qQua7xQ
z*J0Kxk!SX%7y;j2)7E+^0TlV(@i%+<H|!@{fNFTPAzW;_BOSTD*Ft3biMjj^jAQOi
zOZtKV2=m7|5%hRb41af}@9GasterBfu4n+EK4HZaK`xZmJhINN^#iNz)>Vl1(g%r-
zd!c){IM6X;^NP0ac1*ywFgHJ64~}wJ-nDaNMeXq?Hs3n5Vk=6Psn=(9p>oqa`r;fD
zvV1&}!~6X+cF8{O(Tbric#gLV{ny5Tw8AR8JyUUv1sm0Ex}yVWd@%*;Yjnu#++6;x
znry8447*~>s5aOL?&Rxw`ww@Uz7SCMt^kjFbhPZVxi)wS?X8=h|BJuzVcA#{tH$j=
z_$yq`(}Ml~UIktHZw>E$VdIxJ(}a6jncBB<X~B<FhVZ4t75q&hlfc|)JD!wti0^8M
zCO8vZ2BU_SaQ_?&CbzC%IAtg;#b<;DuN1i&cy27>sxbC>(yI^GyBw?K>r8`aFL|=H
z?*bnDPYt{5K8Rb}*(rInYQW0F|B_xO&f|GpJwe)T!+3Q0OB0H<254%EHK)za;Vr%9
z6ix3jyh?^8p|U|8?yf~j|BIT#*Oi+`<1bC(;-c=vS!;Dz)?@4~+&zc)xmSOX&z`~G
zeDv)r|3(Fubu3*%XAYlwe3skc{2YFnC;Y(H5h}2p9%Kk{n8UjZd2ZY%F5q)hr%NhE
zDNs=*krk0NhnxMg4YVCw#E%L#w|0k6fW@a+K6zsf_tp4xFr|JO_vbt0d6bg^`qSL*
z*|GEZm%xy(oz<&2<Bt`xmxUTMrjHBD=r7<?|IRel|6a$(bLg7hT~vjqDa*nHzD4})
zWx9Gd;wIkSdsXY*D;1ElAGPZsEaA%ORpX0yxA30QM`zBgD8ru3by|?}GTuS7`Ys|$
zkDl9|b{fN!!SdOYeFp<paM|S#y2&>f&{vdczc)b%o`u|FJvg+AKP@mzr1CSN%?Qn1
zABGg6ezhmD>FPS3du7GX4>6-(g?+Zsriw6K5Yu(rdIPsSDt(HO%!*F@%Mh8$R{(w%
zTb}{TfA}$=*AYr$M>cvxrH6$S!1SlfhJ_&=`lL7`JoJHp{M(%TE#l?Dy#1!}#CduY
z=^!93N#sU{JFWgZOpu4Y{u>P+>KRab@fSB27hW{#)v{@mM1~;4J@WoWOz663SvX?@
z9}3Et`YS9?2E&NdmcgIQ=v*hm5v#*HP`v+Hg&*}K$p2b%*)o$A`3|V$h_MTz)XuEJ
zu>cYTCEhdPi)Tk~q`#A{3<#m%K+%px3JJ{OpMIS!AfSH|i;CBWMbJ4RvhCca9DFXy
zoNr&}LMrPs-*rU9P=N?~snaV5DJ@y0XN-A~7+Da%c5$0GC#h*k?Q#%mS&T^8e5hTm
zz>t+q3dyhWr|kP92YoZfY42orpxyh9y^HjdM%`=L&w!5vUN>*u-1kWUwU|{i`%lZD
z-Xxy2KdvN*7ER9nlOTjtW2JGnI9c>%plsUXI|+K*{xI$h6G4H$Pgd8OkkHp|u1oiV
z$zZ$3BzQhi6y1q<WJDH_N8OxoT);*i3I*g#QL{KY$<%(zZ9@V5x4HKt-!TO+bA0mT
zyM`q4YprzMSXM#;qIzq4iWTA6F{cUXJ}Gpq|2cEWrV6t6x;p=UuQDWSzG&*vkwN()
z%Oqb$3R-*De`=4OD%j-3dkJO{kx~=)jvPiRa*es<$!<)6l9{5ory_Fb8_!hd$O;wx
zS5v`%EQt!wzlu3(rIL^e5gK;=P)CySR>UF^4Pg6Hw9q9gk5m{$K9;0tpi-A>E4fWH
z=nJ}?pqQqBhCUD4^eEC$laF=I*%B=X`<nZ5C&#wVj&b}x5=}$*l)PIR-swQgT#2f(
zr!o?{daB0y5e<3Gb&0$k)B{vLFk6$Vg39mj&Ai}4L;G`ypClv<A<4AlS=j?s)b9ta
z5BfFGd$MPS!66KmZfg|(JE?{S9X;Y%=`_&5$3yznRR9$Gkfi!aHMDV-s_OZfin6nn
zTcs+Ep|Vw@v4EF?28d#<M=U5v%0Z22k+H460(yKQbQBc6x^?+HhYI>CdQrCIpeZDa
z7qUK%RYT|dj1-Pi6;MZYiH_lbDM&^Cd~~i#6+xby?y!;^QaUoH)@Wn~Np)7W_E{?E
zv{Y=(4moM`{Of^fUmr8zl<yt5XRM3_2^A6tV?<GWi5yvcJDz#yS)fFoB9a>JL4^)G
z5S^sOLn%`;h%MWxY}6-@<^%Xz8=kWxuHy=R8tbMIxvz-7X`O`htsV?C)otMFw)!U?
z-!p|$<Fz??COO1Vu}e6_c@U>hjSr2JF@=#yUWw~$M3jUUQlptWG1WIDj-!uFz#{Q&
z&RKqGRM=<eH61aJnUW8c2JJKfr?lo%atC*zfs-t^GRPa)Bx<Y|OE89C(GqgD#iD4<
zG<4bh89iiTyRh@j#^7?i^pm)uFnS+XaO9{V6GX&B+7^TZ1UD`u|78+Djmwk5zgL*y
zZMxfmJ*yaS8ZfJbbMT=};x4I9Hdg3=6U=pF(+KVqhVoQoaw37a6OV`QvBKjj#v}@t
z5nTJ@czQUC6|tL{s4>*Dg8Yg??=P|;*cSPixk)jiNE6Suk4jl#%sTizi;V%qL|zq{
zko<@5x-ZsFI?oDM6N54N%lh!nL5f$PeHmAKpY`*y2rHcYB>ytCOb`Ct>q#}Tp2ZJz
z9p@}5V}aaW^61kgU09xWSfQW#gF7*CUb*AI0<3P*L$8f=A$&_V=qbZ@eE+!<Hl}}>
zVdBd}15$zxIF5F_Ul-2CJE`ePwXc|A=74dY->^2Eyka_dD!CD3Wn|xZG@2QLM>W($
z%(S8G%Gw!vs~#*^wC~~S1!hp|zTfv@Td&)!mK2Wo3}Mhh9*hoWhS6xPLSa5Fh;wIP
z-+ONY;}x6~(<xwvbGMF<f4`y$;gWkCzdoMDQXJEaUMw-gpN#n5bqh4;w02NvGF!k5
z`7fO}J;4GWI=<L^@TGzK%-ry9w1icEavR`WV}SwvJo~(H4X}_7PNkDv#SW#tG8WmM
zr+R!)<O#oRy$<(M89Kd=y?EQD9+=1m@3ttO^NZ@BLK_Gm7j0k~mk!+8o5~J5^O}hJ
zuByZDRXXCq>3^8}`vV8Z>p4K9`B-Trzd8)$<}vA{(?RtjfzT$+2@+QlM04_~Fs#in
z8CgdUAJ<+reaPd23c8Q#t)^7SBKMuk-e3Su+wVE0M|i-kyE}#UhXOJC6y9<fGr?b(
z9>V-XUhwLXpJ%>Ff%hKzMPm1u0m|E>eG2(NXRGXfoF)bOU$PYlGO)sqS<={(R(@Eg
zzs;cAtOoSYlt*>1vw`F6^B)od0&p?&_`I2s8py882UHU|ARuaohj)M=?2eOorCX^A
z36jrk$NC8HH#+PxX;BFBPh9+GVWkQMS4CsSaW1IJ(vM?G7J=TOP}TNf6}TvU7-y{E
z0q=oI<19x}7=HUHDLO?3IvV@!byj&nu5^6y8i<2gz7u($vkGtm-*>7kKQs)N9Q<dq
z3w-Ody*+8$ar=0&Fz+2Ok@v8K#aIeDv#i*i$SQE%Uh_fnM*;AeIGLV)MjAq1?0zMo
zr2-2hu6KXv3V|5qhCyMm3_ScH{g?i@3QW7151joX3>o#|o5hT>P`%%oSW%_|L0!Tj
zyF+(E?wyq3Tc_k;EoDjOh_WiQ=ccNRnTmn^9EaAa-z11_NIzxwRTZ9HWod9%l7Q97
ztngqDd9Y-jdbvAG4R(C6E#0Xm33hc(#f{SnK;?9(W<5v&Ow&`PJy!}67~|iOt|);}
zm700!5(PXG)5YworJ+ai!O2Qa6>woH6+ifj3cSA$T%eB1Kv2dl7NG=HIP`C{rZ!m}
zauSxECj@0-|5lpE+Fvz@<Eqj(PSt?nL{^flr5tc(A8@Y7rhujR!YZ+f24|vjaxyNG
zfK4%bjYFLZ$r@`1(ipXX9BX4q&L_jvrOcV4$5iNTywG5IN*k1O%r%P|<Y9T?QMl#=
z6*`Zbm=MNwV9|X#YIm0ca2vb5y~e5z)@s!T<yZ8!ePFV>|2IXrJLl@@JG-4P$ivPh
zV*n!D`EVd#3EbtT4mfYuUwZA`HBx5?@i&DxDF>CIR)gM`MT82^)cN@{JTMqk3|slx
zsti&FGW+Sb=T-R$>)amz@Zq+`ny!cn)c6ROalcW8j5OMXJtSjTzyDDBJ5dF2rxB-3
zZ)Iq><ij2Q!59|Q=|pJr%8)QlSW{?HfRIZcdoW`Y*wee`kV2F)O!rCjGjEaL^O{$L
zb(RT)ohB#^bt*x1tx}kTuq;HJoGE4Bz8{G(^yk`F6v2Pm+<aVB8ZLj9EKFoH1+&0(
z&waxR5V-M6EAgE;jAq?=6who5r=57iB%aAb426O2%^6{kUA9dgm@t8~0rY0Uo(!3#
zp~kzC`5|JL{kww|CSZ4YYqG0P4#KafER9~{gp>ffNZ~*eFw<iVd+ja@$;GaLXXu&X
zxOsc6x0DGS7xlJl>z08R$(3^7%r~+8;UITQWDLvvC9l(*q#-Bnn~&`Kd5kdP5@_XU
z46F1qDm9goFn!}#8*9uTOpVL-mEQyajbteLx=$R+O=V)E#hS2c=zlMB8Ng`S*+Yyh
z3Xc>jXY0CN;pMEIbe5a|=Fa{KZOOt=^7YnvzsWZIPt_rpFg*;`RmJJQPz2!`bFr@c
z+aBDhFhFU;)d()zTJJJk=Le6ymZv;^_T#*>9FOg98p3qwr8ledyioR1Tr9|X5Z`~e
zbDwdA0UV&7(Xi9x23|xCxE?!*+jVGVsm<yG=U`zXv5x}?m;H_rItTDO<%4EM%KDJJ
zBp&)?fE5Tq1{3WU`tb|lqsKhX=mE`r#X(wUoBQJ{Bco!!an;Tt+rV;NQ0n);W7)+3
z<Mc_4E$P4T0*Bdez@!Tr``Si=>*&CG={Di<lkYgym3BD#unw@&B6NC2HnBUnX`;oc
z7M$gP@on}JZMc~=IX?ex9lNPQ{U|9|hucrb{)*+&2EDjs3(~(8OvYj~tS7!4KNEk<
zxcRIWh%(k(TFG9*`hFj6RaWxH3u-Z^#~qqL<EM@%W-nkewJ+vEc9vm64|m=9W~>SR
zLHRHG7Ur<TbJiCv{A)0-@j`;u3mSZ~PM=PTpT*>RdFCCnnlT+SIfoos8hnUpyK%j7
z8au|*TX5Q;9rNhR{<W5_0ZM%wOGg$bu`eNP`-6>tVkcvVQiX&yfO^$FV(QuirtFd)
z8z$F_B@xr^^lbA)oz&_)cVQe$Vw&O1it5J*Z@&l8MAYF1r>$B1n=#D&_dDs+tAp5%
zu>RwW52$cA?BrSfy<?bb-gUQ(pkeG|zf~rUOa<*Y>Gt<>W7t5@>wI~pF-$05(zEO(
z1=yAH2N+GqFlIg1$|HFb*lFdQfpex5c=7n3HQ&QA>{A%t-sv@st>M_gvS(_bCFJS1
zs5Oq2AFIr4%$dbzkEHw5bgF{v3rc<o+XU7UF%=l1G>>`J?Ppu(P=!(xGCOt0B*uq@
zmGAwsfYp_b#Tc7zb3Rqt%;3-zR`Y3I!Z~IME49j!h`*`~%Y{s8KHsJ>7uEJ%D_$#@
zIZ5JpORW-oOAhJ1V>XMm?$8-}@3V%rzV1;X@G1e_eN6*%qdBZ&aPs1#^uJhx5Q7i6
zDMIZpN!^CS^H}Kpq5jdon^@`%4WG;9+gym#YgoIxfL)Fgy+XF4gU!teo$ve#u)MnG
zG2i?mwrV%dA5lsVnpdy6`v%H`(GXAatKemffxMV_$dD0!9aQD<?<K>(l5Xw=(kk{o
zY@>Yd6cglYuqDgvBg5}@&lBd1>saYYrk%ERERe*q8qrom0(Kw7l+L?>H5W^{KWStG
z7s+qdQzj(1|6*F_$o_wrW^>-pDJBA#=qEKUev$)$yUrA?lXMWb|9u}RfD0N_mM<k7
zmV<lY%o3T~K7{AR{(YT1ypZa``7L%v78Z+jr+ap9_cy2=mwST`RBu+-_9n{0sUMl%
z1~W{sZZ~dqTY3lFvH4MgFj?Sa6VbOoEWjS|WPih;0PM=Yhi9)7;mOe-C)(b#!9>LJ
z%Ig*(7!M?g?5QC_-+FKq(+mgX7mm$;o)CfA$IQQ49}wX*$fz0}<N{%QG&ev;45qd}
zpf;We(?k({sbwCB5gUl&tB`;;NmenXL?XD|aeAWf!v|3c^TA!ZQm~W$y;nvt5eN)I
zNB`U8haAJh6?A3NKrT^lJvd2(9b4}Vu9XQu%>@bC32P#l)R$ebww8tAH?DtO?+O9k
z?B@wjMmaEWD1U17T^1&ux+oc?i2xgaU{Opb2`<Vwm*BVLfa>~%*w!ElmA?t=CfoYi
z)T*{yH;e>wU!`L7<R##cbcSurcSUeN;S4>6WY8Ec4|(}Q5*B_u*790X-u78<v%+N*
zpgANnl%ydIte=GJqGi;evd~k}a$FIPWt6gicq{|gqu#_g6;Qy7Xa{E7e!+w=@z+yE
z7TT&}C6y|vP<JfI^64ElV98=sj(s5q*ZCJf@Pj&Zy8fzNFrq>r-+5EzJ!Htwq50n~
z(f~_4W3Q44br3)5W0O224*_=LRW^Y%NS|7?_`7}2c5e(MXkAi-HJhUS?>ID}E&2;d
zb3h9^6rZ#d(rx$s(qW>?RTIV?L&~P5bYYmI<JR~o6`(Ir(wg$p1lcuz1=nzWc<-Mx
zR#Kn}9|vw1i3@51lR|@*#ke6f`#rs<SE>d*H(G`SJZWI@L|sZt9^h>q!*elx3OLEo
z8K~Q8K#r=<wOMOpsHPJ<y%Ioy>L0n5H+!k@<v$VL(8DI+_*5c9E0O}NhY}j~B`Dx_
zkjDGfz!XeQw`7^RQQ(V})255QGFZNX-JFZ2P>YGV)^bz8yIVx`!4w&|mZX3B2Ae_Y
zl+zbKNj2DIoSgeFk_aai___va%)rs9VeVqH3PfyNHw{0$3%+xE$_n?I!8;3K(<m)v
z2vf-U=0_BQY42`{-}Pqj<<!hU{DdM5G`1{{@8^P__4M<0v1X9$>)L$BM;?S;jQxsL
zpo777p5_uoGuSxtI`_a~64X>t-T12pF>kS-UT4cpfg1H$;k33aoY8r#5a-#C6D$>4
z+*D2B#-iYZt0FQ`zB&8t$K4ftX+Mvt!9x@9n$C*TWR?Q#N@3;u1bQ^oWKHnkG=Xxt
zYfruq#G!dJc3<2eGZJ1M>+TFShNtV1B5}qdkbC(<@$42Gx|@)mbaouzR_2erLfd;G
z(5+Yda2Em9cabaSTmdSSVluo>^1<KT9W0FjoJdeu|9N#e295%zuXR6gg6pv#2X9fi
z5F?&_+quFBXjQ)D!n&;BEuSE29ma)Z+t>r~217_X&s3N~V}L{^jlr%^E);mEK>Wst
z0qEHKL80?sOopezW5a|CeZF(9f1SqwMwL>uU9=W3y(dbVTr-?#a>H)g(o`ST6-o<&
z+D5SBet9RpC2*o2ch83>Md*Q6@vW`dsPEYQLs!K$H8_!Wi<KRrUKdLK=!A;1JitMQ
zX0kL$KysPvtkZ(JaQ6nm-Mga$KTTJ~y!$Buo$gsGP4d-&rJz?sG97>LyC3h)IL8x^
zhWsDexdv^hKJ{VF^UxG-bIQcH^)>;q9%`>-SJQ^&9B-Y1=y{yy+<!izuLwxR{;e7P
zeJ$ANm*8gQTgFc<Cp6a4b0V44lMe|5EqKV9eYxz=8h(7{#C&}aC#v|HA2xec6Hc6K
zX<GK$z;EyQc<G5C7aEsjc@p!F22Ar&zJK>^;UCsVF68~@LK15up_LKae!w<-D1eI|
zHF$f~t$gQ3we3fyBH3tQ!04N{ahd@+j3*E)*LcvrZvXbaWDOXz{O^QWEhFOCF;^~-
z%ZqHK2?e9_8X&1WWgsrij5eM;s<rgyLjeLKB^BHJ2sLo6rHf)gYMd+*TE_h7!bH@K
z>u%~muk%ryJj05{WU}&$Xgg3__^z!R%<6EQfm9NGiXG9>#n~jA2%wDDGN-s+P~mb&
zUCYQ42NEJ)d^F@Eh(@eQyFxvwU`uW(@4v^1o?4WfK6xR8c)w+O7)eke#_qtQaR+Yn
z?)8J`{Q@FLEZ8@0q?ZEiJ&evug1pG@S}Mbnl${9os5&OR&BZ*1Oz9$CJ~W>E^Zcl`
z7&?o}?!{fEK<|U;^(YB`BsH&_7r7>mItE&!C7mg7COf`R&Tt1xeZ+o}uX`72?oWwt
zHle`YKZL}Ya{@?HsdaeztQ6{UJZWC8O#wCS>b;T`f~cl>WXG{cX|!LYl`Nu1fjNn}
z=ubO^k<n1s*~uIk6fW1y>%5l&wZcN7^>;)N;<FrV>L4N;>qC~zeiYdGOgf`jQWWj$
zpKdJ@l0yfIi!44qqJX1iibr{!7)neIGfeUzp|prg?uSPy@b6!6Oxkq`WD!xn_2D%c
zDJ^8UB$-no0;2e?9+5<cB^eXr`4!M@f?cC^1r;WT^mEQ+OCiqBcAxalD5A=Sze@&|
z>R`id)AlG!8qpt9gy9+`<i$wyotjk##^G?;hXpc-Bey%qi$?`X`soJTdZhtrnqs>p
z%87^!GDg<ss)(y4{$y<m4X(DBSu57cqCUeHdzX%?q2d(@oya6jV5A&&kZY4e&W>}W
zJ~;~dTCmw%S){eiYiEgyE)wE<bpJjrih|}%>Ge(ew88pp^wQ{0GJ5?w$@4R!ppA&i
zlqh*!xH<GnP~ww3x=h^p!RRLi2|Alr23^$y&iwH`2OcRP)t4Mn^Ys+;KL7v#|Njh^
zcR1B=6u_-yZ>~MBd5vpc`+LkJEs-e7tW=bQ3MpF>MMWr5KU6f7GP=h|(-xwHWY0(_
z{QCDi?{m)czR!C;=X?rh6r0k9On@|Rwz6lR8m3-;N)Jh-;&gb``uJuu@cJE@$i1kB
z!2^6ooRU;zJG7Z0y3ia%7vddWAEY2LJ9YZkx+YH5jK8f|B%r=~H)p{E3ib(={#P2P
zf!2kw;~^OUJJo8kSCE2KrY|>{(kS?!^M@)vX$xTcI$fHPPeBpOq$6!7R8idSQL$^9
z1?=aW*|D&Lf)Ra1J%oZX3d~3`gicz(>(5VhJsQ<8Hm)?)^93258az9mYgj^gQ4U+D
zxEiL7IDh?UEsuXRNc?x4EFph1RDaA&6~m9Rv)ewG!Ol;usq>zez%NWDdz-4D`8I!A
z5lI5olUL)tT`Zxp-{aeqq%tmWFK0)*6+vb?js(#xA>uHx>He@HGPy@~`hF2W@19p_
z(i<!x^>ym~*4tz}pf$#xPUpcXRi4hwItvhrei-58sDQd_%?8zv*w9d*)|)@X0<=aZ
zU*|H)qvy0s7?I43wSQ=d;W8Ewrxw!dStg68y!6r)udLBi;*L2-)&dOVauKtA(&%HB
zbnJNPZ~F3X{>#pu01Jk>tWS?gVt{A-J+;k0>6`kt-GBUtfUKsT6;lau%)7<F|K;E$
zUE$iY+HV~KB!sCR5|boc{?d?85I0O0mk{NC>~9WgP4<N6cVT>YWF#Qz#vr{f=6YX5
zff<PK$q#fh3E?$~^S`XN_R~F^eyE-wFopCaFG<5K0;qFZ;%e@TK02`wG8!Ro3jfuS
z`JAfwu=E@2k4DaKbo)&u<5LGsU<aMN<xVjV7TP(^5m)=^4MD0Ggr6A0JsZil`KnyV
zpZ=%Pe)k|f{hRh4K}KU}5a1}H{A9=Ir(3GXMML!PD9MURCnH!SbRz5+*sw8_YhvHA
z5&Gxl%bnLA8p5`kwKn>8R%EnjNg`hyrz_N530>td1cNA(Wcb2@jvuaDM$Asp6UA9;
zHy)!wuD}j~*gR%roxMFndpk?_m>vth*=_(DjG5^HH<>Uua(IjC<Dc|_#d6+T<_56c
zQYccafe|lQn^>nkTA+u_*z5jzs1LVTH(O3hF=9gd+(OvvMY`X$gONAo^kI{)ThhO`
zM^?wVME%(%x`(eeDKJwH+IO0jZnI;+Ti0ry>FWHU7q2XCI4rCO$D2%d92922AnR?u
zA1|%awN@(6MrG*2fgtztS1b%zW^inTkC_1(nGca3i|K;11Y2Ib5CgX7KAAti{a^i4
zinKp@I*|R>Wzf-z0YByb%sW=Xgyp)O`+YQZK-i^jCwD3X!tuw?9pqUspJZ73`;|5n
z>Sx31G6UAX`24x^;Rak=;T&q%r47P5lSq$Z#KgO2-mLA~h!@kjPL5AfL7_-#(1y%}
z3|p_Z%#heI{(0P{=p-s=UVO6NI>dyZJA8GxRypvi;Op#4bt=SO9nttz%Z#os3hF0V
zxzRdLlPm2%ElA|Fs86P|;J9AgNjD>2l>St^y=z?)hQsrI(R(-GO4#)UwU2zLcGm6m
zxR)k4G7Rro72SvfU!A&Hgak0RWARIJs|G~3|Iu9vW5dXD-3Xr$K@?NJE?VfI0p~gV
zHs4)kM=hJS$P2%OaBbehX4fZmusHXz&7g=AMZOI0yLD9r-?T>m{(Mv&vfU?)NRiw~
z-XXSS*-;dy=UTbyh15agIgNQRk{3nTqF7()i=+EF9+SQ%3M_8smeT0rLtS;j%-?2`
zST-VVWR*h!?UtvtB^w2B^izLL&@pMemX~Addw~MWIe(5Fb`-?LGKu;oFIn7PbZa;1
zJO!RyqBXyJA%s4GYm|~Za`<HO*YAw%fB8Q@Z&xxE!CZFh<-^PJ_%fK9a;cjFo;DP>
zlCLB@3P<d(dXrJ|t8clKkveorxt2NPieV=UQ#}8GB3^JW{M%Wp4pNh!gi|6V&?8Ok
z&d)$)^z**#_UMcTC|3okoQ{-2D@Dy@J#JN$f5oLd=c@^cQ@j>lIWicd61g?8ObsQf
zB6T>Ew1Agnc)fR07Aw}a%ZMFNN4}y$poUQ4xo?|+m#91nr5bi^V$;OnKBwQm?X;nF
zf7B1-?F#6)VUZ*5juwu&2p$R|bU;~~Bz!T2jBH-aRgzb!I9%8=#JpD*e#rT&C$%YJ
zwbJRQz82aja<w6tJzEdbzAxSJ7g5GThmXuIc4%Y3`?dTqMg#a1T4%D|Nd;@NQ<c(f
zbg+~ub7w>X4VJ%nWjMyF;<g7h1HDN)SkwSdK(N0p@<d+U2(oI#^Z(0JLyLV=HG|nY
z*zdJnLhOezoIPG^*nOLVo9h(Te+KJdMf+x*hef8a;+5|~KBJD?+nH88cyzEnwelr%
zfH_bH)@cli8n|0+`knnjZ43$HvfCv9P#wULRhX%PowV=ccIT;h$~l$t_#42fRPz~n
zs|FU^X64)0X<~)e%4Y2w7QlD8UZ?-92Bym%vW=5h$F6rd8_M)8VJXC(i913A*Jdth
zvKgvkGcV8X;HQ@0ubA#LKdp}aMLSup$S9$Q_h{5f9xDhJ${L@LQ%BbmLuY&z<?-DM
zy!_C{3Qjw&HCIbekR$&|jpJh(M0d>&9ycpU7M;>kA5z6+$C3=MS7Lbis~8(~n-$!X
z{+i|yqk`^X*{Q`QLRg%0_u81E6@+$Ol`v*iMve!2_%9~$;H{ml_8mVg;qB29c|56z
zQMR`=G`lun<_;yz#w(W4bni{dg-!*u+L6O~we>GOFy*MiC2dR4`Z1z!NR!9#zlj-r
zL9_JuSE2Uq4HjU3H1|hvjw~8Bo~+vP_%l61^WEy0lLc6WUjM}^BaLi42YM9J%Zc8k
zgFmSK04ERr*Z7hwfuH<JSb|o*68ZP;yomM(nA(1~z<-x027ZekzR^5FJTrEc)t(@r
z@VaOT^^q_R>Pqk2F*8MoT$yXK+(5wKwSz*E=7M;%(xIVxa+ZkG|5g8iYz}kp&!oq%
z@!>7DL*udQb40EMiT{PY863Zvc(h}X8~@r*A4&53Nw`QR$b^TQ!o<#HcRLCPiZ$=O
zYi#zDV1Z9fhWAb2vwk!~LK`dkxO>cMKc6Ff;zHWG{{6T0@<U%^+L<x#XtGc3*eoGf
zP|qo+Yz(e7?8}E$7;)uT%m$lpGsNsp@$q*7Mli?SDDpL9m41(5ZDH%PDZ;t5ZT(!8
zA#f;g@K6sg(_Md66we1u5Zd)8$7gsAp`ek3J=MSHuZEsRBx{Zl0iR3b-W{UBy{!Tc
zCh<S%F0W033YUh7sIo&QwG9R!rg-UVV9*TxkA{01`Rfp&ZNs#Zp=to%9SUmRr;gJz
zBK@C<4Gj`?@uB`3)AYeFYKmm;G)%W!680?=7$8oWC*Jt>R}UKNNJ1(_gLL0n(r>%2
zKH>qNj{DS6JqTG$|Df@wk3JMA*Sx8}mvCBsaGzyB7kZ4_JQ6N^rhB+7PmU0u39H*p
zJ*#_kp^!7@DffpCI*%H^?A&}O!L+KnT-Koj4WG!C;T0|P0)+<3+)@W|?N*pByORz?
z-{if~AM~DH>`1>~X5UWujB4)q(y0w^XSH^^_|?<B9!7cH9cm?t&N+dAyEbHw43m#K
zzoOG;MzaKJTZp@-W$ROisqmRSf6o!(8NIsA#;v)knXoVCl_O44fp&u<Z|qJnooC?0
zjza$?;+xLs@CIfoFt|()laFQ6gBYz%T4NiDN`oC2awuBRPkDhhBb(^0ZuV-<8yktS
z$69yUTr?pii@UAeErT$)m~_!<>?1+hzd?tbpaJ$Wb0c|A3kXh~xBsD1Bf&b>Rr2<g
zItWO5G?J$u5}fqc?7UTt#4pp294#vpV9Pvhlx_Evuwt%JNx#=b_;t_42%A#iik*ny
z6W?;erRup!&rma=wmUZS)CDz2Q_B@J@UA4Jje6bfDq9G1=c5aajjFKgeq4#T6P;+)
zX!Nr!X(hVbHXd4)QU!K_(($2!8e+eutF7<HHiG^7>yht4Dxd@Udo7CV2&W*ebsDLI
zu-+mT=k-w;DpLlEyJ}t&r*)_*W2v8rqvqA8_NpnvnTJaGV)JhZH@A!P=B8c5gZ~_O
zo+K;5_Rp}#&E`G9HoUp>w&Z8xrfyh={k$SvbPYN`OaDj&4*h17G3X_<!mZ;tJrrSn
z_azY*|7N24x_#f-OJ50R_jyY1M>2fM95|t*)Jo_UrFBUN^%ED<0yXmqGU$G2t6P5F
zM%>8#zIl7x0HGGLBiR1A0+35i>;68{LF{u9iJz4HPAnYw6i25jKnY!kvu1NAVc|>U
zua687o+7C@T_O+16pHq_Id>C^M=oWO`iF_#&HeFjsPZs%anBeny@zlYUSZkAGe(R*
zAH8n!Tn_wjkjatjE8(&$<xD`>1ff?!+e;8~V0Tq3pH}~kNJ(^h-$9-x5*Uen??1@G
zLC455X`TZ_z0OqDo=dZY3u|;s*IrrB4bpCnXZubBI&BzY)c#4t6nG^z^~r#-PFM8d
z-XTIHt97ZDae;6a-95O%B?B=`B`y-*hKWVn>DPTMi-ds0{V01&X;=yA%Ht3lBMzsW
z(Y!(|5uwC3@?fMCkPaD0n_ZqD_`eR5q+YBL##`90E!9fGd*vt#FS}`CTlFrw^Ql$h
zBF~Y?9v(?ZD(B^!zdK9h4j0`$OfbOcl$`90mjpzr_^mPR{7Iatyk;6T%?N{`2UK6t
z#UcG>g4Mk00`W3+?dtW9%n-!2v3F5X97-Q__kYq~BnsDqH9Gq?K<Mn**05`0fU@3(
zo6jr}H`E@njjOT2z@_l_9s*)e^i9(*c6Eh#5$eS#P|g7Z0*xJ<H$_49qa34u!zz*Z
zif>9Wi5tQRYkw0RQRqAP@~2Gz1Duz8W7_1*2eqp=*@b&Z;Lo3LDo17lGndrI4g3P|
z>A3ZZRR#$>S;s!Ova>)U)pvu-svt-%-d+?uNCG}yozv6utgw7DwpU(C1Wt0Q#$4S+
zg0Swjn+_ptP}?6c!Vw}0Eo#NpRr^UGWbns%J3A-bys(rk$}Isb!K(&$(@1cQ+jqri
zkQ??G1XZ|?NCDsNE3VIGNnj@3@Z?i8ADl4%?KT)A3-|Nlxkh3|A;}3IS%CmN8fVt`
zHI;|gyINy7_K87?-4F7Zsu0{7rWx``lA$>3Qan$TIMkg`BAHo>fV6mlAG@Lwuso^x
zZObSLK;kcqz9I^VOqI%!E-LUo@!nYBoD^`F^#@-gNr2MZIZg2=YA`e`{?7+x;ZeFE
zbLJ;07@c({BD6K&`i%0Hh6*{DT5E`S?<WhJs=H}1%~}wbyG56pqX5rv$}D1C4l*A&
zSesaAL(PjI_Jt8eIR2%@==@U!=t)Va;LFtk1B0jQQ-vxZnLlr{a!wKWwlzEpU(o%>
zofij}CMj_6UW=sq0c9|JP}T8_rVnI$3t#(JS|COrS>@ZR3KQ4zm|I*7fK<S@K<3wh
zIoZS7tN%Dx_bab*-GT;2alchgT-1X~q4&|g3K~$VaF-!)fCjZ~@i&?`(I8n((B{Xi
zCIsmX%72tK1p6a9jAD$8LHH1Hs&z9JN?PTeawlovI665P>0ky|j+w=X{G~$DR#6R_
z0S%<RN*t?o0Ce|QsUMBi28Up==$1u&C~xVmd->P`Y6ZnqUw_ettlQcXayok8+w!-`
zf!_-5GUfm1UC{=0-z>MB-`bGPX*_KP*1$wW{gUa`hLos4ZO=MQFxc)G>qNDIkP|zp
z2g0>sRMzxqv!W_wY@2T1(`^GOLG7E_2dMBD_Qg(kDL~a8gJMG87G%1VwvF;o!K-{?
z*Ruo(@J(!8)3dh)ab5pAe<d}+Ry-j(nvWm!7A(foWNbnH{>XV!2L%F>w21yMYeYuZ
zDY{sV4H(oF)o{3~0&eb;w{Cw*pWW{*wr*krk<(cRENhftUA&ygefNiM6S--HoMR26
z+VpNcSu#vMCdCPyWkbb`I@iG&D~M|{=n0CGgXD-|O~37Y=$~&b>}F;Kl$|;*Czzx`
zX~FYV%uYe1)%fW+CR>7W%VbEio*3xxn5_7n5XPA+4r5*e7Elp3k#_m95X7!j<UQ*Z
zL7$MVRZfHj98g(G7>MG7>0=ze4lhYKHXs>x=|6w~tIf9rx3a@I%3bF=4N=UG;|>ZH
z2l#6!bg|He3B=4@b}_k#V&vi;*2h`|^wb1}H8lPvY_}PF4cjV;555|Xs+pTZ{FL6#
zhk2vK@8Cs;hh$OYFeb8JdzeAke0SaAB%OGBo%7(#1PQyl?{a*+{Lc&GwK6ube5DJX
z2|veEN<s>KaxJ~t1pb~4J!&N|Lyx|s$j1~)!j?6KxSNtDU~^$sNo8S?E-a%cA7M|z
z<!Tkli>Hj?&{>IZY1ymvZ1&UX{+cAbwAF9e>a!7Sy!Y(QOd}&ou&Zz1r9?u}cvX=e
zTO$Y#3Xo8UWx?JH4lR%LNGMxkmwlz$5Tt)>aWGzI#Y@>sqndk3I4t0FtIyOBu2TP)
zRoJp)!kvV}-?B*PH5rh*yPgI?o3zAs_;TW!7+uY4frPn5A3i+WMFVb;5?Z@AH|}-z
ziDW(`ipSd+#y*W3fYNu~!7cW@XzM>;+V)EnnZv8=?<X3-@R!J#waa`MwXtLPan3)F
zu-EpmrW$~S)x-MoQ~byh`R>Gl{o;7+!^^zdK7HstygX^{Du548-n5M}mcVQ-k3#nh
zec-#|a7)Wf5dU7<vg5j@BrekKy6<<=hpU03Ke`o!@Y#|e1GkA3LRicZ1xbB~(sgjQ
z;1x!LBMV{V{nEJqv(9FbDLrr_)P&R+MbH@cX3b~HAn9tWZP^<=kl!_(#rH=9caC^p
zp`4P%(w_-O6CUUR%a8-B)*1=3Yk!FaDa+we^X7H6f4(VV@n_%+rx^0JTil-*ltY7S
zauLLJJy6uM*_*E*jvEcM+N18t<0;4K<`cPk5dMR`d*dbvRLIRY=sB){H)WGkf}ZHX
zrW>;Bm8T@pOZgV>ZXn}f+4a@Ac0JH#&vObXmBNY>q5Z1@irDz%dVVIeK2)%8FHD}7
z#-~eXL?eb3aihGEDvRa6`@Vb98!Rh}qEZ>zVlR}iGPWi9>1BNo$e}kdevn1x5Vr%R
zG0MouzM#HgN*|UUHBk?T$>E=BnV?5@DtM>H=ONk60DexdANNs~$FH<h77BwZ%E?HV
z{p~b>`{~y%9_*CI6onqnu6wGOadLjQvNsJ(25)8Ej#j|zll<S+4b?FDzd`T5RT`+)
z?-*THCu3|5A5UDV8rttIVxGEd2xXE%Au=swtdjZ=VaG<nc8%>81+GRwS)yho_$%VQ
zifb<=%qbW$l((rv#27AhFOuVy74eVs-8IFn6jT~ZHT>9P43&GkY@E+1p<tWy_pLe<
zbjf_^?3Hf<W)<v12IES&BX(cn*$Fi~NM$P9;BN{FJra+SY?bjf$1ZAns2V<cpfvbd
z!wi%jY|EZZRz}xnvF?LisyOJM|E_n;42(xFk2+Q=<K*^}VlTN>@%%m6M(!+gI4*ec
zqFReG=1+Q&$0b$p%}<BX|BMOvv+=*{f$x=(<(KD)Kn`W>rn41ndP_jcxks+_B4u3e
zmp^>+iz4nSl)l3)3*hB1@9q_#j4AHN#+b6mIAfSF&$t8NOUqV+tzyb(<uk@wYOjEI
z6Z&JEPXd$$yL=)&P(s}hxUak@hl#IovOW<Y^AelTq>2)<>^;}reMc6<kIAnbzY0+L
z^abm&D~kB#kgkaGGiltnV{2JQD!}Z`T?UyGWSresZ*c`A5fcN0pI-nlPU|r)rjfCP
zqv%$}ycl}*&a4an^JT`<>Y59u6);6E$w{V@guZsM*<yA8FUyQn-aM1X+u{d*{+blV
z2TsKUf206J?6-$IP0Qh5qky2TCPHXA=4AW(GXdwf7WLjxlEd`G2VGlg1<(*n^K*_8
z;2_gBvBgsszX_!72|v$|LFYR5YA>2YKkal`v4sqBZ%VErhw>r&{``!FFmvd8A1;y7
zB!$+zyA$;+c#)S+Yl*gK2BgcEa>|cNqGOH&gWNA}oHzFgA|E${vy2Uz^U@MX8FiSc
zV&X>oZvH2;Bc`z5QE>mU5iv}5-(Pp!iwljrR<u5Nn8Nw(+hS_oh@$!2%4`J}7ls^i
zZhid81Pp|zZX7ivyhT3Cd1{3d-*ms(5w_I?GT#2}oNpJwV>yS4SQNQX;AL$`Q-d)?
ziD&9IGKgT^Vy?j1I4)dgciL=cX$+R^>)u(LgfU@;v+tf5H}bo9n;t+TSP8c~MJ^P=
zCw@**;yv8>-o{2E%EAcZ@JtAsyb#V+C7e;K=Rxc9Ki)7m7(!C9<cs<;LHz0dA@D~B
zFPi&>Tr}He2yWd44)yy5F=)zel{uCV<9CRLobI84uH?IShvWq@R*<WEk;;!*T~!3b
z5gK?`y>%7%D}Zy7a#Wn+$3LCSD8@j8(=oF8N|ORO$^BDNuu=fy)7S-gvkc(Ty^cJ=
zp8{C__rpNf4MFso9S>1AG60SAf@?0^g2)n=rXwFOgooKGS?j*)L&?J_>2v?MEl~1t
zRXI)=6<1_U)e`i<lN5AA<$@r(QECHd*F=zGY@>ILp+1bPn0;gJ6+}<1^ED63Nw}L@
zH$6L}2gN>1r&>1&q4>Gn(<9@e_}Z$voKm6(4ZbIz9C#~)12+}ln^VOxxKmPc_M{%1
z-&Zh`yiXW)J_b%L#7p42zU<|<7J6{x;(fXiiwHV6#i*$Ml*B!;OUJi~>OoIPj=(m$
z2r`y=(cT6~<ATiXeM(EZ(EX^@qT~_@gO22noLQB@!@GO-u?*@0O@=b57buDet9g6h
zHOZnz596+)PF?tQbugvaTMV6kCh4u*lf#bK0Lj6B@yrJ;Z!7)9kq!$^QE~EE%x~rt
z`&}14RhyYjM@yirRc(sdQ3VW(^y>*+)dkC;t)l5Al1Mf!H+!+0jJNe`yUr=<f#z`I
zmRDm^ct~cKACI*nG6|*6U)rY!JLv*1HS}aK&ak0mOj`+c-ZcmL+|h%Ro36FV*~%jM
z=Cw_yq?GZacphuniXPMiZ(~{hEsKoWDe5lFD#*gJsK)B84~dprY<8E(p?0uySjjgP
zTp=3dAAZq?jX}w`9v+m(*LzCeik7Hi)+*!R<AVn9y|v$3MP32-ot<pQ!)kaoeee=8
z(;z>AcQ~(C0ezALjKjDocs;nFNazs_6sL~vD@r5dk+wFSzN-}EzW3&w-w{Ko4&9Lz
zYoUng7Q2S7{-&U<MSpXzt`Rg?y{jWe717Hl;9G>QI(olpRbFE?hVlzjVoxt9;hJ&Q
zX+A4;RDSFk`f|V+plXcq4!1IP5Zw3j<<;@Bs=c`{nn1yxZ$q82%E(P&X~Jd-u83b0
z>d7^Qtl*SI<56YoN~QUPZl>THb$_k&Ff(YKo20Vns33FkhYiW8Y8ZXqXl2089C{yb
zk^Xc*1#3i2JhJ~&MGNHNljI~ojejntKS%{Dt+baUuBsr%aUIpc3Ig2RH@2`IR6&Oi
z+j2Bqm66l)a~?(QAOF?=T27d%VBqM3<F1TKxJoJVrTpXV^v~XcwFPB-IT2W+m`+By
zUkOp$vH^tG3I51bW%R7R_$*so0qeX2HD~Am--kDL`SL5HG;2%Lha5RvUCWyO(E;FL
zYIoW7-+YuJJ=kNXB#UDOF$XU60tBi1-j8ll#4c|Z&x}wh%oOD$!vCFb-x7W*kY5q!
zgfr(W--)B_sj{j*1YqJ9|IlwsMk<@hci(^euoPu(Vm1$eGCfiLAV>k<PgNF5bBG|(
zZQUw$`d{7Uzc(^&$m8T3wdxUz5EhDT-r2VapyAfkOZBRM{h-i$(uWX0oRW^e#|xmo
z|6OWDzbq0BDuR0}`0)Gz?WZMo2zZiqYDI%x7Sok>JIsyn;Q7O+*AK}M@XF64kbGPk
zrEj`!&2QtvvL|ottJBTFWJBhd@Ha_R@~pCw)!@Wb#Yn0A4dyVd)mL5YC4n)cw>K0|
zv*Wl4*KplQGq@hjygO@E42y5y&12+Y$M+U}v5EbrV7~e7*yv+XG|akFGJ2j3$@F8k
z5?f8dq-JJ(C5nW5W&?vFE!fa5_$1qr3KMWT!*j6shzM@GGthm(nhm#xwY@b}HGvPB
zdVlu?31cOA8(xTJ!`@uWubNrL5EFI5Q7l6U?P^xEr+>4dZmd*%4Yx6T-eT`|vt1Ag
zs#&{oHaouXvn+OxF@oblr7eCMg7|3c$dkw;9QdlY?1tN#Aw;l0tL@4Yz=n&n>MCBG
zc=zy+6{c`QaBVi5rBVg(9!s^0b_5qzVZr!~fBTqJ&|jXyE`Ah}*S>YEf*To?f4I9w
z)4*@x2-ETF{8(6SmF6wVi%&G3Fr4G2!Izy}l$rp39Nx_uAi0GP3#`9oTW1@<{{R30
z|Njh^cRbZ^6vyqoU3*>ExHi|d=P@G5Oq3BV{Sqofn^2_CkV;Vsl|-qi$oCK-G9r<z
zBH1e|%Fn;&kLP)v&pFTY`Mh^47%uer3gTd!qiC~)AReEfs1Iu!fXiXcukt$u@h{aj
z&u>W(Z^S3(KB&_N7^(R+eOwU7PKY)04hy044e6rBKz-o+xkaw&ksyW~Z944qQyA$h
zBXT)h`f%92Jk5PV5PP<?a6VcfVK9sJnfMoa&|*+~M|*=1MiyjFR*H+F%YW4|O?&jf
zQI3&A>zNRi+Er=UI*B1q=yAVEDLr_YY2~Ov6UHTi<xO{*IKDc$)yeNG9TF7}E=$!2
z<LPMW1eIwCv{Sg=e(x?FjNLNi{soh;)MH}%Gk+;066Tpa57OaxzRUAo6%h<J*KcV5
zA&tGfcjIL3=^!Y&W4LKa1Rwg4=&w%7q9lFW-j^zLApfb{-1|)wTj)pmB}K^SKt3Ef
zM504^$dyc?&tgb_In3HOPsX%E_gF9R(BYI?Ht&uBaa7(QmPPHC$LSik#w!AJ$myd0
zyUHkuM7P2=#Wo5K7~<<ic{&IfA6oX&mqJmaOZNF66>!5TPY1$^4hy_hzbGfAv1hcP
zi_)Zsc8zbDejlQPN5J39T%TpoFXqdp6Q7iDd9zSi=2JSTntr(O#X=5Wc^AATbt>cE
z_#axOjCwE;SI9QyLq^9Tf0vSODgtZqP4Zqn$k>%bUX+!`hAqs0V!Kq(`tllIYPTNT
zRxZCl9+t;k-mNL~jjFh>*68xlz54L#*@olKiz%3&EO%_^sT#(=Pd5I`WB?*<2F#h!
z3Mkg@;cz`#9qC?o&6=JY!0z$O`Ue~p(ez1tf48m%3UG<gNKuAxo+xs65>~>u2kKu!
zwFVZZWfXWi8o`*m$SH|-C2Wk+iE!7{#ICLjtNXN!LDI2SczcpEp59B_H?vO@7prbL
zZ<8?rN=fxYUtKEhTiKuWB2*LGk{o-(Nv05`a_Em&9Tn&5+#hW<*Tm+qf#WXxW{~FH
zeEIA~6`WeKEtYE4z|#jC8izQ{VPvSZ(6vYff89zjHBr^T^obU+_bcY$1zA#Y%PP1i
zdpS+iUL6}^Ovc>5TYyQ%jl^(8RXkj%xx7zH4e65Emw8GpVWX9tpN^I)HczBnR2@>m
z7Tt#~hfDy5V*|?XiKyaS;I}W{;Zzj-okcCX0C0l1HIVyN1;yO%I9~a#gta`ACrUp8
zxM?;r3!GNL{gGbE!RCq>mfjKTum)hAICAtcqYCo0@4YybLP6G~I`cU>E1)$u-yr`-
z#oF$8*OCD;#ttf$w`yC#nS+n7eR`pci|lESBco+e_{@dKl=b@V>7O0NV@haaY4m(;
zmlR%qpS07SYz3KHij?^Um9VqtRNl7};#hc5W#eIHE9fsull50s#3jMO49|8E)T>T3
zef1T<s#WJb$yfnHgJf1T!-bKrzvtAz1AzIK+QZ?t6ny_~_4YR(LA33Pk9-ykfW}Mh
zp)T^+8I?EBF3XRzO5^k|Y5*Vm>nK<K$T(3^m-tJB2QM9PW+<<<gwd4%82=%QMw1JH
zkvBLo=u-4)2VG0>8#-PXAS;7G>CtbzZ?ofx2GOJ!*Datur^NA1s1)vLoaU<%Wkb=*
zTG5qdbJ)3h&KEi*@YQW0arIS}b)AYFD!t7iO(W6E&rckyEy}gHtys{Nn)uGU%nSz1
zNViJXMA7o(?FNUh%y`yo{N`tAGY~G_&}oMv*tq7QfBh{pa`>>6vc{M~g#Ga?$L^5O
z`09{g&HyvgUw9CyLnh#Kxb>24rZBow)E6u*Sg?;8zcA}$0*|uagxb6o!n)w_+C7ad
zs3k@pxcu4}j@iy|H_i&8v!0T;-Z@r0IFWtzwTdycip9vWI0)kJ!H=z@foynR&G+qt
zTSjm-RXuz5jR5|B@F}|~h#kWj=F?JzjG!WYs4m4`09_e;TEtR0u;$#W=FDV6P%YiY
zce9%x1GvJEbhUC~fQ5P63XdU_zvOjy+Rl#yd1^r;G;W*}N!|SE()znTuJ+!EjUW5V
zu5{HE@?c}Aiie|w0Zbg|VD9Ya!~0fuekX6_Lr%y4AT3WHygKhK`400TC2?-8X^kIS
z+0R<{8Lj(*XM;t8I6tagP4}rC6~MXAHwO2#=)s5QCES+b>*vQCjHC?-Vv9%o@x38>
zAk8SjUa-KAYiDldQ)Yya$l|!FCZGquRI+j<-30J4&FK0LJ`x&qB!+Rkro+G-OE0mm
zLk};fql1MAhEUZq{r{swWk&EmeIr4fvNEU`KO>48_3gv5Wa$uo`rP2zdO=M6*skFI
zRSdsxA$_s_rVBw=bDy_`3ZZa-YFy+-2^`#zGSZ!`3&zQTLmn!^_~_B6H1m&=ICu14
zA@?C&C^sURIxh(0_WRO%ckP$PsHf!oM0;IGpjEK*c9GEH9GB5v8Cm?7+-EAMstYOl
zt2KQsBDkgLheqUx9Qq${$txDoh5X8Q8oa%txU~5<sqiNmzhA%;=6vh-T3<-4XAsAS
zLyBGMgYsA@?n7@C)&=M6C(>%h64=g?UKTS>!Hc{9oKK_b!dOT4R?!4Wl;SrJxbjZ{
z_w!d+;U-;(Ep5p*7?r}_>Ep5u;!5~;;Z4QO)4FgXY`(95rwsO_uIaNFE8}3d<77~^
zE-;_`d7NoN7C+cu`*P5iip9-NJ&`hW_~uq=!?J;lNxuiu;-ghiJu@qCG>H!BCs*xu
zOUWZcXX)YbOjW$Sg%n-Ks|STm(@9!O@>sR;aMJN&H9Sj_9cazd1IY_b^_RLRczWpG
zqFSjs4kiDw{?Ah%&gTRz+P+o5-G(lTv|J73VK~<pB5eSaf={NYcNMYnXyvN-5lt+6
zbzy?CWB`F4gY70UN*K~wKJ`yl3u`zH?lb=~gt{2@S6SPX@t<wSfq@JyTx}CRnm=L$
zN`Wcw^OdNm^dwu1XFv;8A;G0=*%(G2bO^0|r=p&@Ug*tHE%Xe0Q1?yP6tv&v@bg_%
z!Q;Ev2APVraO_7$L$$6M<oc%VcaT=a?uM+9V!9Uk28CPsx|+lEj+$|=R8_pi$u*F$
z?nkS;49~CZwE(B%Qr2z*su)!zP0`<@fih-x&2NJ(fo9X(_J>ama~4Z_4@#)xEfg%C
z)dHyUHxgqIRYPe~8}ap;Dz5cBFT8&f;B8v05_w(~^_$uP9{-?Xz}-~Qt~r28wa*%k
z1*#YvH4wqiuZ&5J(JI-dR`C59rTej&D!wG+)J`QuyyYh<{_&s{T)Y)(a_gZA2CZ?P
z-l#{xsdGvuE2&msM7}H+Ge^Zsw8Gi;jb!w^q4_Q4wiWzRJzAY9Peq@9sSgr+q%rdG
z+qLWIR?r!nx6omzjA_MP#y$QL`0xCgfTCzC=q*(z2b(J4g`INz->ITFPBC?9+-?QM
zHUFI7&=m2@e;cKhVLiu12aQQkt>Bsy>|-D+AVciWsq#Vr<o0*>Xc++zzw4;2#Z5u4
z1U;6hF&>QVGae)502K8l7!!+RJl`vEp`OZ#%};lde|Q13$JN-|w#lLCA+rBxE;js>
zeyZ~?8$j%}Q|+F0GI)O91Cq~qW;|CgKh(0<61FKt9#CwT!g%J8<+f{#s6R8-*zno{
z-XGU<82uxG9;Z`6Z^|>E=!KYwC2k8CSnTesw-iV1C!>XTP5%+{?L{Z%{mg+Y-~7c;
zjwrhFT&mGsS|z4;4cRe2GlSWQ@!42)5!_=Dz9_b1mFP%Tm=b0)1B0gT>>BOD=r8M*
zz_E3eh;QLM_tno79BxHPw`B>TtI+)e8MUiKTUUQ)=PMJ)_dO6bn<R(@8(h8p@Bbw@
zgyl9L5Ho?>@xNK~uM410d&gLJ=RZQWr>ykTF=O~qP%7{|fgc;M7FZW+GN4r37JsvT
zBbb>m-5)B=hgBh8S&s-X;_;O%^SVt&Fh!V^)Qs|=?612^y#h>VX=5;){Mry4-(HCx
zo8m?W=Z<7m4Q4d=kK1%t!w_=FN50FdawE5fZ)tP@3&!j>ND;^}fO6~SKZ&bc__sLD
zq`!a_jkLS$r{xTwB$-pwUy}>7FY7ro39{pYjGF0|yZSJedoQPcjuV~Ie7>0_bKu{f
zG9O%(^dYH2VN_s<6KQVSj~=3Mq5h*Nebyp9ur;E6zqH1Qj1ghObFJL?sa3J|in$&v
z`cnDkthn&uhs`swnY`HknDGy#l@8zSHCS~XbK&mjDFN+uJ^Jme3y1g9p_7^!m}<g}
zxn*bGJ**SJKTpjgr8(%Zw>JB1-g>|9yNaYO`vh@;l)%DKpbL)I(w4S<;6eLUCf_m+
zVeHXvt^B)H7jADHl7Ih!7t{KKwx-yTkn*b{#h*<VdUyRR-ZjIAkwbhzv<wk^BdY%V
z&RZH_fP7MroB*y}W$%$;6+_Q)(`D<EG-!;z_U>Po08VQ39jQtb$5j38li#grFfr#5
zF#k{xS>3F=Bb6m_v%8;#jt~uu9Hm-^FACu=a}I{!J}KN%e_mvMR0mFtKXy5BP8h#O
z3{Tv6vA*x)n+}LI>43=F2+H<!5*C=2Xx-0~!;R!M&RgX=z|s0kPU)=((qk(*2fmUq
zdzY-}{ZbuZZ}1QeTM@;h*1p0`)9ZZjumZzS2VQ+JE_v=IjzWd!Wm8ECDBiNQB)C%t
z!nVfV)<g+BT<SQhv_TOEuF%Q^7-=9j-bm@QlS0|IBClA^DB-h_>FNd3bsb)WJwGrc
zjpr1;xJ}n6W9#?p74MU1K#FF(u$Cc<;zQ2_1_V^Fm*T^zF-3#Jdjc+s)5)kHm7Dd$
zPZdp)S@B(vE@abUJ|3jVW9{_P;OYZ4JoLQ(6U&+|*z<UiI3y`p%a+?q8c|1y<Sj1p
zPw1fR=bt<zrhwXv*JCCmH1Ym{PdWWZ^nl+xblYhOMa+AW#h{_9g=y5x3*p=Kq2=Da
zz(Oe{yr}3DbwWiO2e()3wed25eD`3dXOhb3M<a@xXSGp7ZY&N%41xVmLc5|66*a2s
z-v`?0pnAdUvw9guu<CnFM(i&Yv(+?qX@=;aFpG23olaxeYcDfJ=}^JQ`u|2%!gTQK
zn5bR8f+-A@XT7_1T@?ra+n@HpSqF#6rSFR(%+~WmQGUIt8nOokIa@R6U}C}5zmxCG
zA*=c7H{G{tc+)3L;uw!M+BI~H^l(^0p5G0xNl|rlE{kZq_D&Oxas|p=WdKGG#)K@{
zsw2OcM*nUN4b1QAh;n%du%*0hZ_IkV&Bo--UN<#t2)227LEZ|qcKqp9BB|q{-Kks7
zf(lkLkaEABwF2kTZMiZp)G+OF${__VWjr=$e~Gir3d9zm)ks+l6RKflkWj!wTf(Zx
z*sWnECu2inh$^PJ-KpIdE{`U=Nm&t!*6=IrX5EQY6^!T%xGWkZi)9b2b#ACyL*;iF
z)~QQW95!f`8CH_Sgd0q$@)Fi?E}}a2*imIX*;CF!=!jyrd2`p%c`Mjf&}U0*R>I70
z3g=#C2qB|YlhK|^E4b|!+rNXPi0;1wRRz2GP%g|xp>f@(-V8d`Kln^R?hxP#@aDv>
zHaEWWbSpS1BsLe2E{~>z6Z<beW5E;`rEc>+fQs|24%zD*T^uQRZ_5`3+#A<WWqB5W
zYboSO*cMsjnnCZyV=IJs+mYBLDgfE(d5af^H2$7od%>T*KyZBPsy&%%32IiZaeKQZ
za3Q|IFmH91pwflzZECWBB({fIH(JCnGVk8*&OOtFQT4gFqr4W-_|xY8tx*wt-r%ii
zA2>ni6htSVayEzY6Y7(TY9#Cl3?Dg?Fh&G((l`UJn8BT6AAI485H|UgBs>`(B|>9r
z*+;uf;nUv0`&MK@+?Ib&$-r-n$Ueos?~IZu42l}7c|YXG!fz4-yB>}cB&H8fB953q
zM4{2P=<U2%#kOI}J9m<3wl94)T5k;2eNl0BuH2ZRwqoOQbDH3LnQ1#mF@|#jFVeG<
zIFXb*zqeR&mPk8w(j_&<2sXGpiZy5EKqF<jh498X!fMH?x#YVcxQ`?WRFtq`=Zziu
zU-IUO!!5&#eh!A<S@rqemTXom+x0jnBxjLu&Nr8fcwqoWtyRNY2^Qog?YvV{xlCvd
z`HD;`7=TK<e7q+w3x3=*p)CJ*g^=#c+eTd12d0PV#afBXxb>*&O?}UQ1kWa#K_9<9
zL{^s&9Gc8nE$L1B6UczM-%^V=UetpuwypHQWhUI~f1RrJoDpY4+{r6Edh47e@24=v
zgbSi8|EUTxqt$PlM}IEUq4CoG{-X@c_}5R|v?`Vb^V&9lbCsflf|PURiXk&b20g4%
zTF)UxW}Z&Gk96VR{T9F5mzc5Wt}<8CBX$g$&2qCdUC-x#+wyWaS@3Ix)XK3voS5o6
z*Dvvj20AzIcfP#Gf-i4NXj09&@u7;^{lX9$FuKL})%dWY_m_9qcno>5uH&_iJ|7L9
zT_1^+)@Q><<wW(ht^62qj6Heexekb@zX)*EX2;|GEq}C{1hDzlQa{OG2P|#AJhgG;
z!1=mHg=_3W$lor1l3zdv{A!I}k=N(we8Y@7vrQNeY%Z}qm!b`CddS4q2`+43X=Jyl
zCZW#5`yM`A+F(HEa=aADgFfk(R4+M-V*dy1txeN{eAYJGQYs(DKJi-XnifNqz4mHq
z+FCH{A@=bwqW}g@4;~dPkw6D;Z#C&|O&C;vvsax}5RY&A?#PxYh2!#KJSQ?Vq1WK1
zw;@>wXW2w~-5$uGMZLyK=s``;@~rLqutgY?j%^q>=#azT`Tk{LzM4RGt2YtLCgE<@
zM}yWP@>m_G73;l66aH9R7nyO2;*G@dJi0ptV+Fblw<l@BjqIPp#>ryXa9V6AEn5Ml
zrHCn}PnsYy|4;3UrUX8jdoppFNeN4yTCZ-h)PiA8i$@p7ByqO#ory=dGQQ3E9CxBa
z3*@YdH|~BfjjFZkD`_)SMCF!Qh1=S&^OtaR^IKW$4OO-&Jf@0m`<O1B+N1+%f4xO*
z{v+eP3J<edHg)V?uKv*ZeSKaZhZ&Vm%j09Q4EIY{G;mRHR%6>u8jQN7NA+h>aM`jX
zOj1M(D@unG`wy<~RrgI1kvau@=l!&^B3>IaG;+T-?W4nJZern`1x1WHut#0+fDWF@
z-sk(`j2=X#k^YNOR>m{Gn)mDc)4_!+6+1cK>cc)M&Lhq4RP-Y4<}Hn&Ve{o3;ormz
zp|K*sq~eGQzO|hW_Nk?zb>m9$xfCOKEE&Y`I8haoM%7)Ir)YR8;<s9ulnJnezG`ud
zSHp?5&sRN%Xvq0q)0?r>6gDk)ADs(O$6Rgeefx50_{whklLubrplHbUa9UIYxzFFs
z^3$MU)2o&Zma`Th`f2P3)1CGHEjJc(AJ@V38;%a^m<7JJiu&JXHE>x>V(u<Q8_AMR
z3MR7vneo}n*}R%4l6kh+Ygz*bKQ5?<T(N?8`drt1$2G7i)nmhCs2biLRJ8mfW(~b^
z1w$KBH1JaTh1K{MRD5*nY?*V6HL%x?t&RLv$6A{5$Br&V+>(2r##3(%wA)_RBt><M
z(pavNUFX_0uCT?<nRQ<~#x{~9uZF)mcJPy&WwAZs8+~fU8iK<ThVK1V!R<a4rtAyi
z*nz}k*N8Q+mTea;%cY{5y3M>a2MIs;r@jy+tRXSYWU0tp8FffAOl<o6D4bqv@g&+B
zhD8{zc-1K4>!XyGJ>l#~?vR)JsBI0$KWU#A+@OFnzjDZPpBRuj@^kd$y8q5@z3(1Y
zEsw}t{=z+Dfl#KpJr4-Af|y{3tK6H&s4hq+7H!6eUg@$uH<+y;@@;p`oe~-JSvVDU
zf&P`y%MY9@z6N0Tw#Zs)SrQeeOhWzji-~>BJ6xYB1H9Y1tzlv3dOs_*YLO4$TMqUg
zI!rxe33_{&XYS66Ae*g7K#^yM<y60eSl2ZR$ky?AUsocG@>+H>fo?sPYG<-LM+kH1
z|8h*>ex4wfg-`_E#r0e2iQU_5HDw0ZTzO3blK9c#hI7;jp#jUVTfN2pie~U|<HW{g
z3J+%3HGKb&)o&T4Q4@Q@-xN|+d$3HH6FDB4508HAwamL7ymaHP3A`%dXWO)m4WsPJ
z3mVP3Enf-^^4}gdhE6Y!g!D0Hd?0@?H?F6{^55s&lC65ikSdW8tWn2^1(Qx53bU=2
zvRvE6lFu2zQ>LG;?Ja9WOR%SFy-&TR`;<u!Yp)?p<I=Ak$*Tk_3pMF{Pr2nWz6ITQ
z6GPaykl4UbwoD`raLan+XIL)pxg^(o%K#>KlqOlYED{=Q_OkXWMMO`$L)9}z19<n`
zHP#&FiO7=kvD{y(hyd1;%_|4=!S3sYy6*Tn!mXtH@Lcsrf>Irye&(wlT>KVfSV5X4
zjP$uUbvL#Xt2Jfsq@47ix^W0Se@zpiMy%FPvbu;uVh7`ccXS}tpZ`)nGey*Hcu>_o
z+DjDfvrl2RpaW~aiqK%pB=OX}V0u#GJ0U3fpp#Ut3(r;;zodmv5T$o(J_c3}65>-_
zN|oli5L7Q7FoNU6jFtui@8MxWVs3fEOcf1;-=C^?**Q+Ee?O;-wML1#9L~T?jx_kq
zHJTFZJWiaQ%-NpDFhOKj_YPk8q63>AxyeSvjT52Qljid#rijrE!**?fIzXLk^)_7{
zCq8pDg@>G;As&4G9{O}v8}#_PZZnpw=biyeiC>a)#HrB%V;Na($Px?9m@S+nGP%4%
zq2)Kxao0V%%S8)5%lOA={hT7)JLDJ(?=29g+ZouuBxr(3#cBP%C)32XEWxdh(wB($
z9ZkW!?=`@%$E#pN;tUZYW%gt4=^vtZjeqPomj(<z_iIs)n<XwfrG;iMtP*z`PHa=!
zstz+2T#-F@<_Pmc|H3FCYeeIL!ktoiYVb<9(M_QLH^FgDuAIuth)QLfIU@h6!Yk3f
z9fKPdh&{Z+2_~^jSn<<7!rMm`7+lo?huRj2?P4ObIua}>%N?$~N~i!OjPVk0@-pE$
z;&JrlXI8xRI6v!-x(X=AbPm=<tPoFfxX9II?D(GF@Iq!570S6LuP>+kCI0-=>Uhx1
ziDG9yWdur4A^qdy(bc{+qV#q70cKGiEYL!}#M{a+Js&{dX26I;%MlyfukvA9_-U<Y
zD$0<#M7dy^$%GzPRu+vP2w=&!q^j2yN^q^!T>cJ~1>*$vZ*EW$Leu%aibwuRaPCCh
zMeJn7Z&KbL@6`!on#2|RDjp?xvNcOb=><FfGT`JIy&{6XRV7A=wTh7G;C1EZTTVRC
z&D%bdAcid;NLyPjD?+Hx>HS*E+^G7h$Z<Gd0u2rp(msYLg71wh$8`_z;f{u!ulj3J
zDCri_ExSVz<SZ9gg)a)=6_d>qQwg%zcsPY?aIYc^u}n^HXA;6;=<1oePsU@6<`IpF
zilAB~lvR}>jFBtNQFqA{tfA%XQ*Tg&Yya8*zTqW;eEBIAuiq%3<;%a$oVrSoQ{z0(
zWGaTNt9!Z~!<4Z5qD?>Tof1ga&kXn5NuaO&^PU7dDn2=N>6z(SWl(Gy)V+673bSrU
zrykZ<MFU2G)A7+%a1H!D!`mZ+lRr*0oiSBM$*GYSQg2ki&+T;mzjdC?cGu1`*`kTt
z8$`LTnyZ2JvWN*wiag#-6+7`PLL22je_6>F(g5k>o<RaD6g1$9Bwzfn&WY@om0GN{
z;Euy(uPa9t@sLb!npztTr@CHxYwy<qExmf17fi~?^z(>ZK!Yw;ZTsy1X^;kcM4X}&
z(x`Z958I)u59w%9w3X{q8XbN&$!337QpI5Y>4nT4dN}@?kJK8a4_!6QWZfb)EbFs(
zaqic{5LSn1kMoA`>1o!`EhP<1d@X8iOV-D{8(e9UmBtV#`$L3wN)t6&I3-nu^szE-
z{$#O`8I(~L$5<X|VS}o`O<I8-76m=FI~!sFK}Uloe%;bW-uujqWxwcnbne95+Z_PE
zMec2Rrl^B4n_ox2uGPi*)aIY+kya3r7R<eCiw;U>RUEwILPM%+IDf}sYiKW>X(xN?
z;F&u|RlZ4T<5@=eM;Z1ukZ`2SY+P+U_e|Ourcl*!R<xh}%9ITx*ZAdh-PguUJvm$D
z*>#TRp6j39V++un`QvYf7RGgVhRWwt&`E5_H!{x_oU3==Td~nZhn6#6<(H-Lx-9Cs
zmDs|sFMp<r^VPBUNYcHlaw5p__wLB~o3@Z%uDc}Cqlya!t+(x%c+gd<$y3_P7HX}E
zTUJM?$ou8<fGfuu@sKluvbbOaruCr({QXM!-sepCk1Ib2)}Zg9LT7BiaMvE4pN$Im
zD&vz&{%o)1)AQkG6|2@DMa@|ZDwoHz7fbm1D(5X*iYM;q9kPa?ef=sNhvl%2q-TvT
z48W1=1PA)9fa#B5$>e1zJO-12ZUHQCAn1IRh?^DgoW1M6^ivG~2LJ&7{|uLRIMweP
z$BkppW3SBP80X-egJb*Lj=mC#B1F=#Ns`r&l~iOmkba^Rl~GoS&nGD&s}xy<l8Ed*
ze*S%~=enQ!y6@+Dzuzz8{a@vVtT<p_Q|#-eMu3u>VS}D<5$yA&&y3~&xZwO%$pE4W
z0ABNyJ<DD^_ODg-VoMx1^bI~QGY&)GfTMF(LJcoACbm{nN#TKignbXxFPXxCv!U6w
z6C9XRgVMPV!90*;^Y({Yx(PI?Dhfy?v0x9c-@5wSmj~YRB}Mg?8-twl;?yU%4b-vL
z@rub#ombY~^JxP{&~u*i2iuhewDZ#w)~P;jko;@+DIISFOAeX3d7BgHq7(L_;rvcN
zmAu`8c7_mVbk^6QdjL&}2oRr;;RbZ8ZDQ|j14vCUh}wJTCCax87nae=1@RP?(WEhb
z7-QpevAWlaSfBb9l90>=`lN{4CMNn&p5J-Z<mY!}x6<XULVqq`xI8rfnym*cQbDh$
zB*u{k!pS1e-dylYbX@%R799@9@tj|Y{D)ZC+>;%?%msx-c7r0mbf{W?qjFV#9?=l}
zTw3v-3l6^&))D`v3u684*}st`WPsoPW2q)Lw7WijU$tKs3KTn{JJeSZcloqjn|f||
zaN@z^)(<++&bm8)d}<w8NPTgzHH-(UyRS1DTj{`-bhy`W<`$AbkSsrVm=~tcka^cT
zwBf>@fpW8(OmKnkOD>l;A7D-e@tm&O@a}y;hUWk?m`>A5)$j9zwBJ?Vph+6c<okq2
z6IkJm(bWEHI6)vdxyx9`(7^HxXUX^(9B8{tN-K8?LdTPXf9qsu@Sk~M{_|!wShSl_
zu&BVpv6{fY>vdEpdX&NXn#=+9Fx@m-E(F2itSWmvsUW+@cChk3C#c-7xWnHf3{E6N
z<vAfL)C>?kG)UZFY})BDwJ8DtAICl%Z=%3rM>R3yBM<Dtj?-%Pi-AjR-bH~p3K(aX
zy1_L*Xb}r3DytI*=KNiGi53)iQP#tJ-a`PcD|RP}+ektl&j+h$Aqr&wzLr;0CJ3Gd
znT4|JQgG0>+{33s3%*7D^~-yMhi*BK>t9=Cpwc4tq;#?t7|)d-Iy)u=`p-u7#Zg(n
z3;dTrI;jPk2VIlz%8NkOEs?--KY3`)kqBP2(}EOydX)beQIJb^Z$6fw0QRysYX~k{
z(7_OG;_MTHuJ@TmR+Wly{OquNRg4xKARo!~c9np}vhKp?^Ga}YTeNJcMGL(2iZryB
zB*E(E4BpO68JI2r6DmW2O5$(t>SAfo(yf21ewPTG-QDY{J`{N1cYC2RVi)-CMT|n2
zRpFY`<EEJw3h;_nYNfi%!Ff;1l%uEA;7yAy*T{cV5RCVH^{zx7hUZ3G=lj&*nS(j|
zq5hqH&5Cx))+m5~bV$RjIT`*P%Xz|ng9iA6=Ygk15h9L>v6tm(00n=~)ai&eTsOGH
zsW_qpS2WFX#K$#(PSL(8zVi=PTlej=*d&0Shi7dc2L*PsHZ$#a)P)VPmGUfcBD~>r
z{k{@Uf!a;O<;5sE$S;5Q3@59=8UDj5hT|0IN<KA>HtK=dKJupvbXAz<`DAlkl?v>{
zE6LyF4Z!!HNz+{|HMrueNQna~+<C~;)|_kzyOM6%9>S}`<`yOMDv1hX!8g8pau~yb
zn9{<rZgrR~lVYv<MFBpmE%WUd6PW*kP@kP8LHS;_v$Rtb=xmRODP1syGB>X2%fCrL
zuqmjYxU2=I<6NqO)dA!bI;pxOG6Zh^q4RfXz!B&7>O3C-ev1d4=`|$77;LPtw2<J}
zSEU+r7c=;m6lSL_LI&fLE43+6YEU_yImOjw2KJwozE4+?ph0E$&H_#aj7H<W_-HVo
z!3wYRj6i}EvjAzo(*z*=C5qLbV!&QO8-s;o>M$c9PY&u<07vFi-5=5zK*w8MoC{I|
zg-MU&&Z)AXwSV7*JJ}4d^>TZz<f;m@YzmFCHIm>rni+0$odE%}QwpO*6&P{RT<I|q
zg&B$R^-m`m5P55^ZMk0=CjHrh1hnw*kL%u0syYJ-P25FPVhNDqa%VHqkOxkFYq}>q
zVg||21_gWMm7pagQ2ewg8{|Fpb?vxe1}0f1r{32qz<Ni*x5Hnzk<E(^=cg%VFqBq%
zv;Vj}ytm_MoOWAAPWkKhXtx8@Fil5^$jSmkiaOz(GlOJuM#fBe0}Rr-?CxYr!&9?c
zlErVv5Mg=Q$?<IjyuYZS2Q(z%9?d2+d2tYlG_sHP(?THY6`Gd%R}5NydAL!SJ|p3g
zimxslGX=BB*Eht!h=6RxP}a$=CWNg0S~Dlp1R^V+gdG|ef_qPT^Gi4|q;Nxz-ty5H
z_T|*1{Evu-1bm$p+s{{sKOvmIn9CT9<LR@XWd*=%L|KiAzaA;?_{nn9+6YcP-;!Kr
z@Pd-lrU35OTjbDW{`T{9L$IE@@>j2l3rGRK?J0Jx$OXYyueiP&z<qby4`Cr3VCfe)
z{LJYSV&U5U?<&OrEWXGLs+?nk{PI|HqsAUYcD&0@I6)u!{iOS^p{&r|mhO4Heh}gN
zVc30nL=PH<^IN(YEO3OwCBqUwg6K$~8&wQF(DYl?-nYdB-<lQ4kNtlkTEeXN;~vq$
zQmmeLrEeQ?*m{a|{~AY*e=xfLUXTuj#S8d75?e^z-bu>H`M*faKGN{fOS<4f%2KR;
zx`EIX;!d6xnL(_pd73q6bU?|-m#&$%j&Ls5$`V&*k(rsNVKQDi@brV*xr68$QlL64
z(*I{3DfxWhEB=QzXo(eNCsWrDy4iHm)5%4|AN9Vo;ie5P%MG*m(N#pwSgJaZX$2|V
zOxA1vP6N6A^e1f{s|eek<CZC;HAI7xkL{u-4IbU3ub*C6MgFYi>ad*IKm^ZdS#3{K
z!O1*B^636Gq}Y;joAzZ3S;?M@J#>)@GZ6(9&-&L8T6g^YizQ6JPZz3+=A*(#k6|m>
zoOOgs+IZ5+&H@#xCesP|6nJcy)ghF$fsnesNw|cu!joi+-f$xdFzC785=%CbPh*{{
znoMkPx7t&*sZ0yZ{C~$QvhK{Y>d8j@BX&4-^X_uXoF?QpDBxrNV}kH1FN3broDh_=
z=xk=937a*-cFRi45Fr|>Q+tFPKDBYnUQX438;hDlVzMk?P$*xd8q5nthuA!EQ)I9-
zSvYK?%L?OE#s2_cK%c)ERPaM@@{5T5_GFk{mLpjD<G}I3diH}1L6}ss4&`qo!P~e>
zx2-p9FmiEE_2O?lkn%59iUJ9~-2GJe(1-)hTc73#IV=oj!v(U(o7ExoiL+g0A18=5
z24Ht4MBs-J{<!>6b#U*|%Ne=P4Rv~1ij%ow@H{)gxSmBFM!Jv0$z<{ZA=u{bVyFa^
zEnM&TQ>_N=rQJdCJN*rKCL;7uDR|}Z>380a&drEAZtKJe!gH}dbgp|cKx@^f7#&fA
zZ%RXdvfkt2wF*8zaZVQKcf@By?bP6@8~Y;?Q5dke{!50h<YAM=VkpX84K~_uAh`uQ
zKHJO}6)dC(@xq=mxEpG~%01S54a8s;_3OaLDuE~Jqo+Nn27kv=YL0G+L-6_AIgdG&
zp&KitG&`t6ndrv}(;-Rd|G9XA<slIwNkIY}tLm^m!0P+`hcwWS`n66vsKPfknM>sz
zBuI97S>?hm3$&NB>HkF3VE|XeGBrd7yY21VO`<$FStQ5v{vbhPcelT&h9+>bH7IVm
zD8S24@yR}=8W7S+vk%3z03SGh;C`+mXb+v@<~*+j$ld40r#mP>lxS;6_^SjO#W%FA
zvMF#*gyNk%MuqdQ67>)7R)#V!rItJ&Djcit|0l1a4VrnYBKPx%&_W`x&&$z3a)W8n
zGff8=p*){ntgC?UX3vU7H4Pl3@(lWv=#c;H&(jC{)!-<fUtk_V8v;iCaA=<%jCWSP
zw@*_CN=jgS+EH!TM@STYQEC7qUej}TUy&eDOzi{Tj<0*jJtc=_8G))5A^sUg2JV2f
zEkmN(kXjdCG?!=sE?#bgxGW9ep_lrnC(r;qm?a)YAaJ5{&wR3xCj25#4*8T(!B1&G
zvHB6fV$*GbpnICYJmkx>l0kvF+lwQkQD%UEr(0RACR`3Tyzn$c6Ifa2M`TPGV6Jz`
z(l<pDj9))>aCawxt+R*lR4)UFSGPARB{U&aG&wAlT^0J{SnoCOH;16>tu;f3HNfT}
z<%U!e0Y2&tx}Uvk4)&7d<2ue{h*moHeiE+$43hk~M1witE#h+SOOwD<M42&pN*dat
z&u)wCoYyKad$5+M0Y_nlWu}@ae1B;?b1}~x!dWgWos?1q4_QOW<`sURNjpfypD>5r
z`~IzK1P}pny_`!}$3aV0>BbK}a|r7Qn~N?XK-BBQ0`2`P$np7@S^8rJ<Tjok%bHY#
z+S|jASM+}&4yXMqs^|>(5VRc~LRNr06Jq?oiD#%q@{`$~Iy3M+HEN?gD+^cdE;R=7
z{zR*m2O><&%pk{3$L7luY1oq@&XY1fgU+T`?y7tXpe+C0>Q|ZstjlSa<Z>*b6IX6m
zTkQeRSJ8BhE)s>rwPK^hv{lrtX3y`IYy?6JbalL!gdjct4)eMGb@b|=CWEeLrXbPC
zaq+-;K^T59=0aE9M0HS+kiupYDE2pv_@5syoN=#xrTu&p6|Fc>TRmwEB7yTFwl<t_
zh&`>;;mIb-dH)1nK-?I7`hBfzZsH)9O3OK5vWaF$onQ{PG6Jis{_!0MGu+5-coJ}Z
z1FeXRmAe^l2(P}aPupDIK(dv3g=|aK(WHC*T^mgX0KQR&)Qy*sOS+`y+4?oK&&G4r
z2yXz<d*9dncV!Ogb249zYFkB_w4+x>j_Jc+$L}=`Fa9Dk36xdU-z%t`!Is;#Dm^ea
zB)bIJ{z7~reVz}9uAq}IY>Yecdcb7OZ;^Oy5LuOcI6ZT08J)TquzVtz4$1DtZl`Cv
zkhNQZt)*>CsMbD^Tkg>XDW3xOru2FQucg=B>Ar-zIUdBU8M@$eay%`t^bRWPfBoZ-
z<PutA8F*H;TnEet-Jb-dzC{B=I|Gt77tsJ^UDqQ79XRRPbX3o<3!M-8=D5bQgr2B+
zO0LV%hCAm6PQJqRqK3-b{xknAp%S^K_C#@Q*u3?s_k`sT`uad}9PiU56z$!sA90HY
z!JL~fBk&_A(vRCeZn})N-qb0-ElGoW-=$AA_xwb?A__M3wwF;covDmdc~r=kR_;lQ
z`;GP%zmXiBT0zU@4g`&<Q=xd<c3`jk1j<$Ssa%404aGPj1LkTd;9%urnp*Q0jbQXF
zySuKV(l)?|x1xZ}i>thjj{i^|TMPNZ!3}h(P39#T)dH?~+^HDmS+p{Nh*;g+LLWbN
zQe(_$LfDT&^N%Oz(C>$x`ZE|z*sEYv&Pr7i{+i}C_<fy6<y;Pbv2|v~7>{(L_IYc7
z_rB!jVz)(f9|gubZ?Iqy2V(h;JtM=PkgapQn>+gmYdq}oixqo0tuB$jMgl2se$u|$
z6?8~4eDcz9HcW2(uph&g1Y_aKIg#0GsJB>Z5`m2a%T3RJ7yU#Xj@UX~;mF%S0}@ku
z5<YWcC`<0gG68k?;(h08ediWB@>P1<w38d7bCg^&xu^!mLPHe>?l561R|NhTZS!Kc
zHtGtV&8k97`eY~RCo>k6X2#m)A%Kmlt-C!AQiTjs?-kNMR_qgNv}8LA9>eaUG3%=;
zaC0{F_V`yEMz5QUJ9JhETL|yA&reo?#D%9n3of%`Q>6*l9<qyIif_8B+O$;QD=Y8z
z=fj+s>ehVdRa6vvUT2g&HALLe+wd4=7jBI3esJS^o;W65&e2huO9X|MO15*?c(H~1
z{Z_Z0Nn-Z>NA_6;5}`sSX<%@YAFGelcy)DL8tY{18Dh65!rPAthK&t^SfrVQg`a~g
z=19t18{AI>zJbtd$2EkoH=fU4ww;s5MhERZ=$=Ff!DZf<tQN-pGC5sX8&$x93u2qN
zvv=N=wg?RK5XGqMnLK8`N?6@pch03*BFMNJ7X8x^$L!SF-(_$qV~NKuIhqEmKo;}4
z7$%Y=c49z#RI-tXEl4LR^~tM3;iI5{-+QDnPX9EG$y=(}Zq5&DemFHSEbyJONZN&Q
z-P8Y9e@Pwl6(jbj64aqn^V_xYWjV~0eaby0jEq%XAWBsykbo`_oAh$G0_Mef&{a2F
z6H~b=JJCnifS9BhKkol2Vm-s8jTj>ecE^jn$Yr1fC4{+GX`BQsiuU|?jSdw{*VIk)
z*x~4ivdHTGNM&rpimC6E91SZISI_WMp~2`RC0luoh|L^1=V&=c!(L{8{x7jY8)97c
zbI`+8vB&may{Y-ySm=1)<;oyk5MtpE+%u(y@mg;1<`Q(UH{v&LQJnR_F1k5Zz@CJ8
z^H2z}0XkU!(RCuXhXF`hoQVIIOU8_f)-6O%>tH3uxXQ|FMnDu}m2zs(z${e-|0yf!
zVB(q5!MIuzNNKE)I9j2J1xPE8{EXGch}V}mvd0kEMt$$5`e<RatjY&6H)xm(@#gDu
z8vq@pm8}EaT3BM+Zg~j{Dwen_#CT(Rhu5?pZN$%NVQt#A=Jltwu*nh~-q1G;NVQb!
zSb3?171wAVvK}R2)V9jAS^?(Z`;f!WRYMC)*Yb?~&Z~+!<|W22{xOF&CR>jB{hAnI
z-y%CAM!-JgoQ_P^-wmOB^;<s(8d!3qp3O~Fc}&%1e|x+0Zs=dN8p?V}!m^|5l$p9D
zFpG*=KI8qnVS`JuZB9ZRv!H&sxql3g-P2DWa+lo=WciG6H9J*|aj7bLGMED^KaiU>
z-(e0bM|$;M1Q4<I$z<W&*j02mrS6=7pE*Qb*^}vUfq*%<70M;;8bb4NPVXY;8PNI2
zo7SG7h*gCPhS>dY01;%A|78R-;BT@$)0Z51OfW50rM-0yp$~m6KQd_s7Ci$v)~H?B
zo18>}hT3(+Kc=0#?1UMpT-k6~nU%yI?m1WakjxCSpJrnv`T+{+j-PkP62qv^lNpcV
zSi$Pm=io#~fIlVAEbGq;V-lMhLL+!KAh8mUCOk#p%%^|_tt>&To#{Xj6AL?R=(I8V
zD^1}+e0$2+1P>-7YxgVo96O{fc+Td2FoCZ({_0bAabP`8sogqv*db#&!MWqNF?>_U
z1{)h$u#&||W~QC{EdA2C;)2E?Sm0oCy=upgMK%^tDm#RcSAC|;jG!&pI9UGq5*mE4
zaYd<{4XPH8O_p6WgrxVEJudjqpfcV!2Mhw);B3L8p*qw6iks!axblCYh3PLfa6D{a
zQmFeOjN1Unybr&OoA;ngyVvq?FK}=ucJ7$<5q+>6^f6z{twb}t&N);E;9&n{{;b*x
zJrHmlS-zz94(V>oVA(R>$qSq-@y^0}K<g85(U|Q;tlk_gyr6;urf|yq+i*Hqx1=!X
zE{-5a^K9FPHF3ZjTKiw=urBZ(OVYePFpeA$btF*_;b20&Rk+Vi7epj3)(l!sBiql}
zwx)A%@b~kcO2KzJAmyy2XHqnaoHS-E*x}fK9DaF8-Bbr|v`hDmax5Tst5yCSOJRdv
z(|8=uYi(ei^R=t8T0&eoJvt>#*<m&J&b_;)+A#NOq0{)n3KDN?GI<Hl0jV={Y2EK=
z5MJHRZk@k|bRiXnCET3gkgpJ3c7O&~jnqDhH*X*{{lzQO>Rhl|5%rHgLWS{Pt^$V^
zwh*t4@t3d9asy&``$2d(6-HLS7bx9kf)mSAFFM9}AneGdc@mxqRfkNN1M8XL%0-b2
zidXocf5zS<tBeA)xoa8j^DOZ4_gk+;djS}_;K$tIKmnc2Z+3bHIGC5o>hvxWgp4<r
z_<A<9Aa9{th?v0!M4pnN`UX6F{_bKH;i?6+=7X+|I1Z?=h(xa}3xRQ^^AY5|COG#_
zew<6;goKq9<&%3wK*#vkULjLWz&U)BAsKMPpg_|b{#T-qV`{sKYt(?#qN6lDR$lPN
z+4mi^7Kg*G!AtHtdA+a%C*eHH2bZt)m#%L~fI*^n-J@+Xd@Vzy{aFR!P3X(^=C4u^
zp^rU(P(y|)Z)ep@N_c3iyKe8?Edz3$kJA0Gkby12N;knp2wHH_Gd!!ZaOPkFhnGJY
zPBVV??<y9CjNU5pe7-zn{(wI&eq{Kua!LQ4uqaUcs@qEk6+pBQJVSTt1nlBb8oDC}
zAAeYf-zF=;n!x1h-nV4fU@F+mG?akwf0!vQg#c|D1r0rf9UnQvdZ=Yp5-K+SGkL^H
z1mP}2-pf1uXW>?mx%gEY8iW_pU9PGC{}F*yJ|9guNeHGef7%6Ei}?jpl4@{CP+KU(
zUJGDo;-B1v95npT-EQiIIy~8ow(v2cKvYS{yEc9WNMxYt{&qY3pGO%=nxw!!P0{vt
z9Ysh=BC~w_tpUy^HJ5x|Qz1m7DRs?bhlj&X_~!;`!Rs@MdM%|inE7~s5_p#Y#1ZP7
zcc&>(5?x%=@?IMb*cQf~=urmA!bY`PVJZl=XxUz1)`ebzvbiK)1$yk=Ex+HTf@57O
z^Npi)P!(JZ`)aNVySv0A{8(wAa8q1%Wrr(UKWSi-K5C%Ke1|U)p}|oRu{ULB4B+O$
zdsh7s>d?v}aDH_!4UTaisECj@0+&0_>u&jz!1wz8?P3`k*dXEKKiZAq&0yqUzdjl0
z_gc5pUQprU>lN0-Xj5o3si!~fB?JEnr56YIsK8C_aOlGWkR+@=^q6ZvspI+IjU)<u
z#vNL|`~|?)?uY7)5Dk!=)VY0nCttpg5Ow`}*$m`X^dbhmG{EF^T;PR!B-oD)+)<HY
zfYtt@^9qt0Z~<4OVc4k(H(zl7luBd3Nfn+dtt2vBeUK5^urnvtwL_L`V+`;OKT2?U
zOM;rGgMR*<itzjB%;u<+IV?RnGeK)qhlM`E-totBpmN6Fyk5f`D4Bv)^0(Arq|~`~
zVNnvU5<cs#D42twTF1ptW~$)#wkw<anFy@mw(b$v89>o-dGoN72#=0Pg-Ub@K+@b7
zi_|&>T(>#(7jL5s8^wYl@<AM+)8w(Y?$nMiUr-BGsZ)ZliO&Aj3?_*FAkif*$be^u
zi`dCzMbIz}X|cY#fD~wxBMTp!!OPo<qE318;B2JgHF)C}lGZ(`IbvuAk6%lWToG9i
zG#rh47v7ANRu|Yl_yAyt)K<;7NyFUGkKIT5-lN(c#>}ct0I>J4#JvIu@OC$_N*x$L
z%{iuiXtf})o556cLR1VEtXYKUSAL@DVONwa{+Pnk%|6QmRl*?iO<z(WWE|yZwa8WB
zGlk{`rOf^WJX|U!)sE#)pvLCY3T<=~m?>m!FcJ}ff{!a1wLz0;M(<Kht(P$*Hqo>8
zNAQ61hwkAL%}KN?`K=i-*9hJ$JI#jbbHc;Aw<mcNCeVELFS?w4hHyHtfM3Xt4cI>!
z9)jp`wBuP2o8c})$k*-vSoe|z+&A843!fiD{Vn+xqPz^iWz^30-f1TAyxL_rOZ$m3
zQ>!j!R_a5w;Q<wko(+VXDTi*<G>p38mrb>}^?@}6GYqm_MVM*R!va}D=&AQ3j$9sk
z@OUhY)@!tcutlQw*B^dEz1c?kzc<j~8*6s4MA|&^{Gv{4XiGO*!0s#+N~8muMtx4u
z?pZ|kMUGIPSSLE-X0no+tP93pOfp~Io<=78I*$jdG@%E7Mtx;k*MYPzq+%Q6NhI;}
zQpX|DI<(dAnd)tS9Z0&dncL+#j!4Nqp2D3dLUoqj{Zap+4g9Rp?MiH8$X~v8!D{^k
zB&G@Bxb3VBXXb7^ui^cP9M@(qKGRr^#9MiEz3ip|_5C7uO3(;`-STd2+CmZQe=g@j
z9B3f=Xsbw)IE;M75v0|>y+=w{p63<!P{Cce`K}7#2eL9}Gl4|4A?2}N>t;u(a56^H
z^wzr}#BNyrj{);1#M|#NtKv8X&IVQuL{|+Whe_IoB*QOATl0LKb|?jO6Fakt1qP8J
zA=>|<&-Nm6u2G4{*(iW-T)JJ*G=Mz1o-J~rsvj9+3KY_$YJq89ciOwJ0|>r&Z2cPV
zcSJmN*L;kdCPWG<HuLHYB2#Xx9}AIT#7Qdmbau*)J~sv$EshQ%gT+TEcD$p=!RcJ@
zLrr7|zN>NUNZ$~mY5H#c;OtLi&%(k)I*trC3oe&v^Zr0$vzomB&5t1(6^XXGdq{9a
zSLt_E`wxWTbARH0l7Eog9v4T26m_tA78AKpF^uF(Tx})#Od?q2f5%J*)PUY{vFrsp
zg2ca{w8{N7g~%@kRD@}&fwRLmBgV`q@>5|&jbSr`$deBDRmZD>HR0!f!Ir;}s92KO
z<l9+foM_B5KfL27)?QZGEn~=YAJ^d<Zu5v5DW-mxxeA!w-d?<QZXB_Z7FI!aEg}Nd
ztWLBdA`r(Uez!YMAOjy1a)LOPkyitm%M=kJoa?K$)(`lLT(_hl8}h5j{{a91|Njh^
zcRbZ^6vv5cXIy*4wfE&3*LIIpDwRZO<0q*|Aqr8lM;Rp}lFBHfw21nikgTjqM5U5d
zS=p<fKcDB1=Q*!)&g=8}yr~pYG$le2@=vQcxm1iX9zI`nr}-=~5>sma@GU3+he?i^
z@vRBQA?cZI-{)2sLUTJZMEw+?9_8wkIHnjanM&4`E=*8q9PGG%N*<(d%j%e4{mbyO
z4xRTMVTNYd8^seS59%Yrwi=sf7)b@(qVpLnu%)2-j~BB%3^m(Haj4HRj&Bdp2oE5^
zE)9*p9m#TFq0ZTNz<hxru-vCxeu*8R$>~9%iX89-Y*N&XSz;XEG48%z&k3w&Zgd3I
z%fk9g#f=iYtBg}>i;d5$d0_WaO33sHSvch^v`^v$6O5=>h4QoVL7qyZ*DrBd2&eej
z<osoZl`4My%On91D)<n3w1WaC9^HFkdxr%=WwnhwACTeYCKxJCr9jTC??dT}BnXs`
zI<_TB2<VWr+t!T&*1?@wA(z>~H$qcLGF}8M!@9O^U{IjI;LJ6V4o+~GWg>poh=F<p
zS8IR<1qL(Dn#^qDfyC<)MfEgExZ&pUSVEHmn_t}LKFP%giSdUNT6#Bt@X)@H!`2kI
zV@!X<#U=pU!90dX*8WRQ>-Vw_pg^9P$k?u8GR%y5&-2d9g1f2WzW6s3NPSxK<8P1<
zkVmvV)E~%0+)3eQoo2FdQbxJ@iN6SxPne0j$16hYOUdGrud?vvl<HIU8)CpLSd|_W
zs|=^?q!XS#mV+_dpyIH<5^%5mO73W(Dm?kpE1&jS9(+2#DCvc4fVVaBDglG)&@ekQ
zKPRaOWvSOvj!9CWls$bZ)07I=r&LN^YLvi`LqN+qSr*3VFN=b9YD4h3h4SuN6>txX
z;@l-I4;Rh*+*_h(!0H^(u}@tcy4;`0aiaow^R!JGKGgxrs)57IIx5_29f!ldO7Psz
zSNiA&U2qxay1l7L8;+e)@H?%g0wpoADOn%&z$f+50i`QC&}J0&eEYa6yohnl{#Bw6
znT@WOc9iQuiqc>Cx&n2`_557(eiI#zlEPPoc@5yxgjJi1ohEElU(Mfjl@9M~M_!Mm
z8$sq-d+PI6DroT*^F>^u1OM|m{U$3@aIr5v9L}c=yV(vkKH{Lmll*huoQvi_O1k_w
zB2634^o5G%OX-7V7xy!@4uBs?(EoH=8&)sxO-Ltnp>_|+)tuiFI1;i|uFKQFeI)V5
zg+&?+?d1O<tziWmW6MLa(lofBK69M^r50$3oyyxHW)0`F3_kn((1xv^i>$Id>fkU}
zCh6a74U%jeOY^?kkR$5S`Bq#B_9qZM`CtPJk-MBNZfU`YjlalQd0FTy*_iY+&;|mY
zb~xv=QlY}_Pg@d-LCta#_kh0*ywMfs%$CuB*J(dL_D%7DVcqS}UWN^r&kFOrU{M2R
zu<v3%!~|7&h0J@tTf_B)&OD7;WnlfZu_socn=v-`bFtFH8i-@T`nEobP}1w-vtMX}
zF!29VGTdbaH%9_IZi&i+w#3%gR|c7I3uQ4d%)|<uMH;JJ8Y%FlH2GayEj#LN%=_k@
zWeEw_pR%$_Z-ClhnM|_*9#j*vHy&8BfCE$9Z4dgz;G36#UhgJ;w0|#Vdd|fH_FhnY
z5&csLGPo*=yrKk9i~nS<cQb%RGw&&qt^o9iwe+}cCu3jN6T<~F0Q&(KQ<HRVDB4+c
z>~u95AMMJypmLf4r^feg9(5(b!zg<_-Vri(*r$Cw5nv7%H+^`hANr4R_4btm(Zgh{
zk*QAMjyD4`rHt$7&KX8adW8GIW-=<$qwg@4nnJL=k=!?@Va9>552MvNWc1_uHA4Af
z0ucuC%TUtB=!(=pCT}u=Wb#vxFo6d@v{J9CG!t((sJBqf$@nfp*=CcgF{HUBylI;M
zK|JB5e)kk3qu^cVKBICY@TKO(Uu_*Hf`m_g+|ESC_a6fv0gn*~MYppFn9dN&x?3`K
zE(l=Vxcv8mlZH?wq{YO=zetR{*l9CQB4hoY5auu42Ef*@`rJNnmDqo&qD@R??VVxA
zywh6@fU7+>W{)K^+9h`ml3dBSaQTiiZ!I0%wfS5c6<BauUZv#GLo$A&hrK^%Nr$En
z;TjyjSdkom^~rk)K^$tmw>`N*9}0^cdjfB;VUMPBz{Cwf+*8c#y~#-*&PMRtePwVU
zFHbPd-%tosmivnHhV>xwA}!somlK^<mNyW8gm86L#IZVD571$WbHJY)*L55EsJ#%z
z=19J8guEWSO%I`a2&_lxFaD+L3q&ydzaxJ}n{{FNsmhU8Pk7Pb%#J6-eNl{{nfWIM
z>%yMCN>>eCe$+lXf97hl7|MRAKhCAA3k?w*e=`IHP%<^^=0`RO{L^#bdiRtLIJw+U
zUAHQLo|gp4bq6K!YmRHur79h;JuO--GEK(Xy1?bYb}1~r?ewNNQ3vRPYT1Y81Tp(!
zj?d3S(ioY>8_IKB2evB)^civrW8JJ=@?lmA#$FT(_T8xi2^J%sAJs%qP^BXI!5{@U
zA9%E}-dYE4nObTa9~4FYvw?Y^KFH!YuVyiujSejJ91ByvC5Aa#3s*Ti<d8NyplZ8I
z2mX6d`dM~P9J7}~1b9En;}sK;k%y;rK-Z&%vH!3nrfgmRaPy!7Mto7LJ)5Hgx%`z;
zcYCDJ2r}9;mKCw3`%%-!&pOb4Qu#lZBhq+!V+^;Ys4`xebgd(4>w<jL^MG<D3fesj
zZThIAg2&m||0$*E!sz~$`neAj?7Xw^OM9y--birdHxbZ-*JplaT0fM<2BA6w=lyD^
z_(V*bEl&>)$l=5JBsr9|SXhWVsE)r#lufg?`mlpG8A|e#M+>wnv)ZbG8~r35SlQ^{
zsvo&?$WZ}H#KV6(ZP3Jfxp9H1-E{a_($J8ntB5YA-?_`QXd-V*xTHN{04vpxoEo^5
zu;bT;Z|ys%c;f1N2D!ozzFe)359?9F&Z2|A+H$E_U%vD78^Q?a$=B<%(v{J9yTco5
z1r<MUeXV$`(->A6iDFgOD)_C^*ibKtia)mv`?LNs0Yw-0Sf3shyuFaYHmpF!+5Ue0
zk1S@O`dh>Ew1X<<D;0=d^Vh`S$y+HABIe+BB5e8NeN|-gliQ<pK?Cn@t&nn&VgPGZ
zk&okdRebbvyf1#MI<6Fq??18@cN7M#?;iWBigxQLZU;ZBqTl!U;1)jsQem8N*4lZ%
z`I6O`xeB_D2=-OA1H@mEfy=q7Xmzo7Dl=FK4TO^q$x2y(_${w^Q8QJHRVnTl&s9KK
z<1)%EM+-<j!I7Z<L<Lzq^9=JV<<Q#o=)c?NEMUdMn`f3=1!pS<^pw};>6>gC?-*|Z
z<1U@$TWpl^0h@R7r{xW()SuK9A7=r45$~8gjwqooi%+ypm;~}Q2RA%CYXJjIT_vf$
zig>j0%_Cn6QH*t@tX$h;0cLM|%$rXsV9f*O`(`_Y@Q|*5>_$}!sDIW2w~xqU*AG*t
z)-nMM9Yp()aeyh8fCcv5a=5^wZTqx^7ppHA+h>&kxJ8`h3fm})K}~UkhkkOQaR$%J
zJ?;Ram3%+AO(?ins`V6avtxf~rT369K>4;9L&iyIOgVVTgJ+c$rP@4;%Ay&tBkc8v
zVz3mJ`mg)^ZfG4+5@f0-zL>+S(+Bl;-jcxD9n$9vb}{41B<t4-U2|BL7Y$Y)5W^z>
z&bPfZCX`p3Re2R{23b66lN&aQ;#Y@f$LxNs5~CM<pS$&$!uqn@`(+Kn_%7i^T8!K(
z@p;bo%UvB)h%XUZ&G!<*%%~L&?#UIRzod4;KHdblCNx;pbp)|gxaW?H#VXO-kt#Mj
zXbb}z4_EzI)BS@VKQ#XSw@SF(tKIp}#u%gywciq@2%uwlcy=`}6DE2lU#loI0vR7>
z^ZJea=<tNcVskwc3M+2baON|D<DPOUp`v`av*AjH{Vitfo`1TF6l4fqGU~%#z3cJL
zD;xgGtabQFLOk&EumOy6nROR*@gOh3we@^C3+9vJjOX_oz_gY3vrB9|7`G{FDDej?
z2Jk+}IR1_f>DGkLNl$J}8c;HOtjUHOhfQ{E-a&^0n7Wr~kqe)QzgicVv^JL`Wu5oh
z^kLxWw`Gn>E@Xaw(Vm%y6RkO-UKKj(L*(tcz3I2PP~dKl9M3H-Od4Z%b^W3TlR{TF
zlPb7y%<tm1CVL)i@-cZc@1+N^HD3cKr@1iRhMe0a#fzO*j|DTC^uS>s`S8}g+!$<o
zZ!DRGAEiF+D?Xc{3!(EJH@6RP<FEc@(j12X?nsTf++m;#_U&6|!msh*<aQt1E*Ub)
z1lGLx-KzuCAIX0!z1Cv_>mWURvml1AFYS_!(gCG8l|t_0y!hNlaOOa?5Vpa_rY5=$
zlz)98)0xPJkC#S{wSN*uvPDGAe`7R|;I#a@(~BQfA}`WyY($ZC&zkB}LW4Wb|H<Yn
z3gDAdul|WPh+!+K=1-JA4RQo+#ohi2;M==qXA|5d@O3>ob-y(YT-uhXf?Z_XLYs|w
zAt{Aach$V78)(q3J#lGgt03+>GdLPMwgK5;%fk?68q`00E?Utigw`5y!6Bbzu(d<c
ztZYIX809Wnz04x`wN$oc&ol+atF))Qe``b9+`d9nb5Sh(P51f0E{D2Y%%XEM+Mw^G
z&})_=h6ghPy|Pv0kxRj;D4&-GajoLzysP4vA+&0A%V|w#SQBskHK4)iqc(RkE=pqY
zX#8fYL`Aead;Y<3KN?I;OCI!++JHB;bOMauD&dx+Y$bPVXy7!lfg}5^G(O{esq0Tx
z!JidzZRW~4us@dyU7IOu{{7&<oU<ybm2B#KnWqB}w)?Z|(q%DZ@4DknS!#G7f+`<L
z*M%zPhl_{Q<ZzJ_XZqi(W1gyCTG0<(_`NORkh6k3{yXB8AiSc13jejleY~d!V(KaU
zsj>=aaA2`bpNES3tO70N6ZC;5zFhoAS`phk86nCGR3vQ^a_Nnt1Fh;!MX{I?mI|D|
zqVZe{g$sRV_GTDBvv<62D3>zw9GtmvS56y$VvxlrG=w1~uesQ9Wvu*Q?Cou<je*}^
zb?jX*f)5K#oC!55c#Qu%i})68%%xpyOfWNnv8;2S)`hB~(+P=v`U={(f9GlTKT)P2
z<8|S_r<58Ff74u4Ez-isuqC6>w`Q<iH<LFwT@8sZzxO&kp`w3Vyt5e>15UF$$;SOr
zLtnQ~3zvK}QP1U*U8y*L_1WHE4WjCJV<tw}{);-wUJu=MDR<3ZT9|{<gw*lct`GA(
zJZiX{nL0BnYyk^QHe*k}t6_r4k8&F}6})~aEpZ^g0ydrrTJaB8LuvQ4+>Sm)tiQKm
zVfQNw2oVz=%b!ujorc+?Wx4XWE~7eHYkJLhL=661W2oZCc%{y_ZnEf{q;lJX&k`b&
zCKH<6RWO}g8C<iLJ7Dkb?omNYh<ZqSSa)0*jooj4n=zHZ$9c_sfh?BLl^}YgV2=`>
zm*7fibrHc)i^D1V`z?Ta?(5@kG)4RxrmWJ`PsW0`hrKLIETDN&ytVJ2Jm#fm+%HSu
zL-o6!<Fj5C@SOQs#gjL3nB>6w=d~IaezrWqN|&>Mo#)p@vt5zJ^yfw%u9+mvig7;~
z*9MUBX5={TqhP61%FpIbX7ppBJ<$&Y;4Iy)t+AH#`kw2hY)n`oY@2#A6eIzHx@!7|
zrKQj!`L|Y7{X8);G(_~AV}NS`^TG8i;usXhOlqXg5T%F7H*Qz0@#C*(!Kh_XEbX?j
zXwR7<LgLodW~`V&wlMwsf{X}0Q6ha$otz+MGN*KC7G~f^i)xtm6hbA%bN7;1Cy0Bo
z3lV|Qrf{>6-Y?Wm#<&!(W9p~JiN+<NBPtyxP!%~)O!pQ*{YRda`v%5|?0v~4D80rV
z;;TfCGCx+G*SK4iF+uzaA5Ob`${5nGhz*<b@M5#@t!&S%NkaAbr=KtDjX>lZ*~p)F
zjmO+Rv5gE)5p3P|c1LB6AZX(CWPk$~wl^MT==w|(zpohYy?ntC-WKoXD|pX=t~@(i
z)YN8)%cCJ~v;hOiDtJnENM^^g6rZ}y{PTp?wEa6<I|E3HTrum6V8d&7?=Ra)EfNm(
z#f;_(IuuZ?SMu+ZFzSvZX>iLj5k4DzrA(C$7aaxsqt}s8@6hT4|IAe)?el!(SdKn;
z_9V%iiekkb7nRSsM>1hfzt*QqV)~GDQNycPj}?EHJ-r&x%8ctXlzDv8^q{0Xk?k`V
zE9M;Mw+m5aLGJ92LXXAt!2Y1+^(8h|OnKm6I(?lLBR+R>9=NFs_pZ!@9#Ce*$qJsd
z8c8;MJ-xC1jG8XUG0yXs9cM+JSh;bTXY44gMk)|_t^?uGmr9r0Sn=_84zE-%P8`eM
z<i3Bq4n!_QOBL)U;ls!7lwosje8(~;aBPSMU-I^vd#sW$B_}daiMAg3(@5J-M$*7>
z_>H&C8#d&yE}KZ)$cM&>b+_-R(4Z%wJ~;OwJGNw5UD))BA1}4tQFG{6(`{Z27s^Wx
zj4n{ob(<Ez#oO*4&0*TGV|6v=*&j{}bgM`^V=joM<MZBU^t7R${a``11vl<quWjOW
zO9(CYhCNUEss+4Tuy#uo4=P?sTh(9N$HJz^N_X6~AahE3+vx+mxcBA~nWz-S^=;FE
zz6(@%|E>B^upmE%+42hv_=@8ruL8r1H>qHCj;?x!R{#%d2wS?@N#c!DDk|5UsW8!g
z;f5)NjNh*gsMl`VfW&22?@A>qoKbFgJig|;f^(m?SbE6dX8noWjXYGC-ms#0FF^?1
z^4$iV-cvBuwo-Y7n+ijj%sl5tgwe%=BR*rzzmn4@#q(9x>M4kE+v+NcPm?~*+_aO&
zpP_f}d_F>jnI)6kU#7+IyN6OqdY%I6J<Iaj{AR75$FGL+??~W&+e1rS97;G;9}6?~
zT3~N-eC6RODI~dXTPY4w#-^EzSFf{ZgWNVcOQf?j7Ei}tr_ZUN;NG!w^gwM0II_<?
zNRxthM>6*6oKwSwPdPEkBpRH#eEIH@u`I5iSAEmAsE(G`2iLuRK!Y(|!vW)6a(I2(
zbWimfN7T9I78V5Qz{&K7#oYe#c;u#OHrE#_F1v=WOLy0WAps7F*h~dH$Gb0AOhg+=
zhs0i(`{==gOh;GdT1AWy^SGK;q>a={c~RR;eQ0>v{(X2@3Cjm>d5*}@P>eJ%CN@Ba
zS9U(5-D~>3XM<6SMlcNrvJ1tdHyZ*qZlN_tL>2it_dHI%Ps0!$oWJ?n2pS4y+7An;
z;k%Cf_#Y)S{17bkC2pq)e16Z~@P1qkA25AbkUmdCMcXHN*9J`C+EU%7oO|lX>g>rZ
zC_+OkmaWNw{^nr3^R!T@u?CvuF+Z9N)JDEZmelqc2E6U<&3l=lf!&dZO;2ss!t5P0
zj8mlmXXB!mT52?~l<mjnB1=u&6tT*uyTbyMwnkoxD%U_t$g{zjQ8m1;vVGFJ+XB+(
zEwi$YYTz>T?6KLcf^5U^u-nEG#uAmoM!&1$XE_^*^I3{m<`G|?aLp1TwlJv$E30Gm
zwy22YPB}c}6}<UMy(I|0yDDU7tcL&belblYQ?UN>F6*m3mca4(*7sRiRpjD3XgB*+
z0z0Z(i}Knnf$hfO+eU-Rcr!dix@T4xXQucgYfCNRulY+M|0`?#cOTeB4i`YB<*4So
zKuhTBS>;esQpB^hhXovDxzSGQfH+Od63ot4>&KSMBO_Qx&A@>b>EB?tLyrYqeX-Y5
z!Bh@?kDx-6+6oaR)8Ul6#&OCGk_opODX8B!Q**icFX2+CdDTkL0`6WW^S~=<JbU1h
z8nfFl5iGykp}!E|kN90jM{X(PnT|1P-P1$J#72{@ngZnPrppAJ6-Oa<t?J0_1kn?-
z|Jd?P1{j|RrrusJiWJA#Sj(hx#vXDMJ-5Le-n0f4i?#}(X5M(!shUOx`JjHp%V{%M
zb;-|4tRmx);zHB;I~@$M!rAOoie@l)_)u<W7e7j{zxBDD^^T!g!FSVTzbV+W{yzA|
zlovBuJnLolzhm%k0<EDm6FBQ<f8nb<H<s~k8u{zi!Jy18Hpq7ygGpV?_vk|$czx5(
zE8WH|j2e;U2YfQdAg`&?WH?Mhh4$LzH#N143|kNVgcC*}P}`5cs#wr}`_$CAjz^4l
z{f8F4UKm1A)knU)@0l@aq|@+oM+o5{7%dwnWC*I%=^7OcCd~i3uCDVz1>pjXoR?1-
zfNgclF<Qt95#3nSqo&<JJlfj7*`tFFkKv-H4%ZS9u=nixR@qL%{KU0mAL(>hIkp^M
zJ3mis8Q=*VFzF`JUqs;JTzyzSrrEn{K1Vz{5tBnX{Do-I%z5*HS06$|sUcPGXNcdf
z6y=B3--&1iA7PP;dca**c=LMsG{Kx3uIqT{Cz0HHS;J{g7aj*_Z&>d5O9-5;iIxi+
zCfHJX=>ey8!GzIzKvMHB(dAsaAa(y2;re&-<>7H1NDra@{QYu@&`id@{X=8KS26Tm
zI;8`nI*dZ4OH;(j3P;ko)Fff)RWhSLO9S7V22*+gQ^e`UiTLvOQ$$@BbNy;44XhHf
zAJDE%5nb%H|CQ!U6VBer2DaQZDBlurv-k59ajVRRbue_6=zshxf;~$cLL9L%ar<8)
z^KI`+{<(SLaS8Xl9#tE{=)I)|gMW$U?A)H1)J5WzZrYyoSS@&Wr+?G#JJZC9fJL28
z$1?FGFuN`N1r-7o4+xLN%n&<Q^dgcC{}J&mFLZq8HQ}~*-1exevjnO3xq|r+6JA*S
z*R5x)3GdeVm@78S5h1Eg0axtSVWZ|&!R2rb_*@6=+Y}dwg+@-9V{I(>JC}WFyi*;f
zHw9U)mMjv(=M(*Cek43$opF1UnmXumY#J+bUnYpaQ+0_Z?AUis{^izKH83@aVRN=y
zCCuaY(~oL!Vw##*?cNDhkUQFwqNm4%e^OqGjBn<~yXw0th7PNOwM=~F@k7k$@ZpU~
zUix|r^6Myx=~jU=`zzu&3fAHLa^b1Fy!_~9Xv#aaPX*%2t!(4?S#bl6L*c?n0hA+@
ze=rX#L!JAgO<6VxmkjKalgG%IJ0C=?zn~0$vnm=vJK6DN<#@xrWFcG&{XvmR%8=%D
zKvi3d6S?~PW1sF5!S8yeRSln%K-<{h;%;MZ{5jyNT52bTZwcERkDE%cU4yHtBw#(R
zYpj-tJuZPvqd(1)0+c{5cQQnEm=CGLiN1=@q%g*wqW9HJ3B&~?#!qh+K!-U+S7m(}
zT-p2Mp8HWHP^$Lb9r=QczT~SnJpNK}t|pbWGFk}^s!F=MIS64l-7WKzha8GbC~$K(
zC_#DHWIh|02wra|P1w%J;~yOhb4^WUh!^|22!o>7@^9UWdyXPLC=^)EsaA$}N*6kk
zhQ)E;@pI>xT$K?Me{H=SvewTz8RlgHDZF0eB3Wy!iXQ|yy5IV#!tTz}tR6RM{2*1)
z^kGf!TOURlRTim1nURaVtv3bR*<PHuB&Ugmzm8fnDQQ4g%T@B-Dp|boWv9V=IW24y
zJ^j{xLKBi?IHsE=<gwuLwG$#&wDGld+wv&8HoU#dZq6B_fV&>Lv0u1ELxr6FdzLmd
z5csTE5cE$GIl?~4I(q1!*XN5P66HFeFtrr$Em#@nDqHPqG<A`$BgCp^yB;*V&h5W2
ztAcHI<bmo|UCan=Y}+bM2frZGF5aVRNHVG4A7rM7&C5sgCU^`XmUE%#ZLK;!JTFeR
zJgJ9=^yn-Jvc~XO=zG>1W=)LS6_FagTMreb8z!B$ngV0{+@p=cR2+OUJhx#?7vY5O
z?{&fE5D+SGBW#L_y}!=<SEH?qv31O)dOH9%#Yn~+zpRCRR=-;KWpwcVui4l>dkgRw
zjA456RSVDXOUiB~v{AEh#xLE_5`KI2v6Zad2cOVz&ori@n6uihgcVDunw)iJir2y`
zyVHg|Q`K<6@pSjQbSr2vUfQksor;{%Gey@PD53Ab_*WA)YZ$%uY5kQEP24_v&g^fM
z98$QCG-g>_!&K3)IHn>EEUdmNpZk0Rz8a|)B%G|_zpt^0%IfNPXXuY&k+%pYhG`{^
znps1d;2cv_h$==L8Kv3B@nIXoagQ{MHB4)2x}3eIj7myBcPZAhAhTNfB%|00bUu!x
zSl1|Gnw9rS(&4{^V%H8eN3a6QZ#=lGT^_~4vVBz(>xdgUcj*JKEkQcufN0)VSv<_x
z;k1E!kRdB@-8aM15(NJRyM3OL!4k0tdcVtN7!DQ}Th>=ufR6qdU9Bxr*u<kB{<dL-
zAt|15yk5rw+`i>qvuzi{&A*%~Y<if%>2%!pEyV!6q<viP6NHh=ci7iphy`FVfWuA|
z;PCXZqu~)`<jNnt^~i(-wByfBa-A5kZR7b|4nIDOw&V+p_(y`~lRBg-H*@$O00960
z4A*x!)n6P3a9i12dtTSR*1gxY$M<uM29cj66%t7Z5fO@#N+d#vRAxqzLPGasE2SYT
zD+$TS$}B(spXc+O^PK0r&+C1hXRKzYBL|XVJ0OR5V1vUtm&G8=7{<H~?9s1eMT$>!
zn$w)wz#eZg%9CXT-qyrpXJQ!9U{hH1cMUdR4!>wt-)acn_qZBfMQ_l}GW$o553z!#
zsAYA{rU67U7M7YcFVSblBVBwWSiwNmYSGQW0CHQ;Jjjfgq1#VZ7A*_0!nwUtCq$z3
zq2dW!b=u2O`aq`jJ^o4-xG3zGVe(E7#x58R9y0wz5Bm0j<H~Us7~HGnX(Ou#=zPQ#
zo!TUNLsL9AS(XLb55ARs7p@C6ERl**mpiay<{S~xtITjMXqd@vKnHZ{g+sap2Czng
zv1#KJGqf-63A<vd13YyPPam}$!=6?3Z#l0s19wjAg7_0{NO#)%d+^^+Y`mHpC8xpy
zhic?J`lPi%+0rv12<9-AC7Z&KP!=c=bzHoaLWPrca#0Sr1uX2$!6V^6S-{)e=!qCF
z6~?fRo^1Ce%wz^@QNO?nCymq6k0xkAiP?<=q0B!R)!E798kG%Fc<=r;6VL+RBd^b_
zHLPMyPJdn}@Ug?onja1AcPU_#nYJ+SeI0wG?aSjMumdu}^jfEtC_pxNw^q;k7fU&P
zecj)1C%C56$5hsk;Z(2beJRowcChAkx$;d8=*kml(zYdo#_ZB#&PoP|HkHvkwv!9E
zwtniz{vv_A$5@8pAS3)J@<^4f;0Ao`sf6x061>8hm`&iA;o|P4!lqbW$UIm1z?Mvc
z^~t47Gba`}CtvLn*v<!b4ZlpzywHUG62fQ0YFMGR57$ke<cCR<zKNG&ny|@xcjl=E
zJ3L-><)|RwAh>jqbJsNuu#QM96`=0`qcVof2VsJcOI@nnV$^^&)f)E>-|c-TX2a`w
zA+YLmwPlS{2lopaw?$33U|0Wv>9JT5SRidui{;eeOV8gG11%nS<ER}wXf6igegbDA
z->Jck>6lzhnGgIpZ7%!DOTZ)hz>cFg)W9}1yE0=RKP(NnF;Iw7Fu%kUbizpu60E<y
zx4A9=&C?CJR}aa+AHwH6p<Qb5nHBQ?4B%kuFGF#8Hy&8ozOPtXs=?tS=Q{=V3BfFl
z_Md<-0ph)cPwzUd2BhjSZH69Ui1`$L@0phzWVXt2SC*+kUX01?_lu&iaWf&N=Yu@B
z?LU-RCaMm<t>3-8Z7vQ%lk+*emWpuaXCilHi8}EAK)!*>k}%gCP|WpN33e>~R?70#
zfPj+JG<%{nJel6D;dM#{7zwR)q3)XCDKH_KFOP>qKdj5ou&Tn>o_98Sdr6ReH1@;`
znk;w~sWyz~s)5&wf%W<=60BJS^bB|tKxgonc9)?B2y59~zS={ETUIySdhW?VHb<nm
zd!r_Zel{oCe4;>Nk@~;P9(j1I9(Lb5jRcwBe_Y|3*8-Lpb_1%QBH%(bpZ%vth8IDC
zX%Dot!AifY<*|(tytB<ZJXJ@AOX0c#=hAh+I;vy0@FitPJmH16k)nV{URJ%Dq#oSb
zdusoUJQXOktuM>@j{>aT@$vg>^kG-AtcLSbBCI@Z+fijlf#F3$g4!uVC{jB8!uh@`
z+;to)tQMyL+m?ylh_o@h=?xOpKdA;kK8K}k<dXrvxY?Zd(FFd^Ep4s*RfDRc--k;U
zNibxZ)lsPr;P?8C>&;{8;Kfy}ZN^4|-QoM9j%@(k+!VR!8KVw;8Cve4t?H1x_Ft}7
zAr0~aL@&?#sDsGXzM@Q`D)@>NXxr(T0$bF>V+;K1@Jhk)*9~iB*fS$fUMn(%y3>C3
zHKA&7&};J$kCg)8i1HSzYo>tz7T7G1rwaMAQh2%v0ZMZAST!q|!K;6T{QokDkheMT
z)hR|AJmYD>nN%~l=TXUP?4|-Kj!urf{i0BsZr?|dGXt?3wIAuM%Fud;?YGlI9Q3~v
zoOD<*1@<<FKRXf>A<X+!?7LBJI4Adza;DN0hG$&<X0Rv#M|9&)+EZ4zN1qNAbTfsB
za8{;sfpWl>9jIq^`Y(3MDYmkh(G*Ul<S;c3%R=|#BaC-G&tq@tTLQ#%8ic;rQH(!;
z2j<!Ei`du*R`5O{Vo8|>^<o<>7KKvq=+c3;F2$$V+R<x*?NtD6U)DIO?cy*T-KA|Q
z|B2q-6_MFy1`t$-i+Y3;1-w;T8XN5!U0_w=14k|fem;kLus9*$0ht2PALDcqH?f4$
zU;-!hdR9ND;Gkji%2ms=Q}idxZg0cJjRAYf9;L>~53fFkT-dUorf>KJM<709sK}H&
z#IC{vPD77S>i9JMM}R@+S(*`?;o<y3%;bPbF6C@O$TVF{c+~hss3H6n4enYw#SZn2
zqG#9l{G#(qW*)s*WdQr*f8rBwvVi*R`}Y;Mf6~cwx*BQg`p}+W^x2h}2|D6P_U=&=
z^w^>n<py(ocxW=2ICOmrbM+$zZ&H8I71_UhsY=m<?%^xu>ZuzTkDx(R#@kW4y=xX(
zbxId*FBa(e%dBGQZzDJA9Y^SYS~G9=nCn7ka*Iig#4<Mi?v3fM?yqzyu1DRWc{)Ix
zk{d0&xPXD={)hs}9=dFMlH11}Iw0PCBqG}QH&%AxWKm|~C%T6Q%dw&WZEz@W#-3zN
zV}XTE0n5Q1^z*IHBi|2EVFQ<?y1xG>w(IHQ$`6w!dcI%s4V*0%^tN6k?z%FL*%f?e
zoLYTBKe*D}u)kRg^7hH9CKJanwlZ&4wZc4lr&Xzqi-{JbbVWIbXpdq+7DJU0Qt_C!
zCu_b`Ed`Fg9el}~F@n`-#9iafE611;9&`8`Qo#MOJ!fa?5EdwDQt(8%9_wm;Age>)
z&WWt!FX+(&SVw8$$7g9xSbaEuoZ~JsB+Q-pq&nS?-OLiVnelmpaoh4_)_))Y?y8sZ
z?bm%6RhVnKobLn1_~)O5jSC4v1=PZ?toCB-d+x5fjeWx2h7MwrgPJhau*W~-S}&&N
z6YF-l<_qS1XkV>1t0w$3oX<!**^6CzlGL4%-iygSNY!+vXu#%v&AktA^<pW<vL0F9
z_=@pRdByZS)FFI$mZSb}FDA>EU1^^-gne*U?#sWY1_Ap2F1tSN!|a{QpZ~Z0E>2q9
ze0u4tD%37qF44;B$EYC>BFmCTvDeK<-<C?Nf{9CX;CkCvOw(hmFv?{N(*Rb>ot{Jx
zR62C`veqD$W|!7ewRapV-V*Q*f35-ra`$Re2Zk`k^oZt|Ba>J&WS0J9Q-MZylbjW|
z5$x(9p(EhV6y_=Pk<Zvg8A=IN$`a?lVY!7V=os@1W@kuuKK@b(LfswjU#J+x93&$-
z3kv73#-yc-77|L(eN@KBiGK{^C~?2eYcY?ttyQmljZ%bDJ8CbTPXB>jxWFDE-M4^!
z8{Qir@k;^N9^ftxSx#Weq5ID9rYvEHj(_pmI;;Rk%}L%T)P7<klN^5zg#E$r#;lyN
z@8n^}+JvD#?HAUS-<kC`aTRlPZy_NIdH7}5$V^O_!9)f|X&(pHvD|w_#m^h$KwyFD
zY0LE+qxbuc>^bol>zcaX6lpF8)(^>9j%VjF_wg{b9$^Nc&%`P2dP@LpmrTdxtpzOW
zf?}w^14a-m@{%$*M1b)6Ov;<*OPJDZZ+YW?%#d`r{6zMoEF37Ua@I=wgWbB~Cv8Mx
z1?Lz-TzjM}yh?2*gqN&h%WQId`oIpH_&6L<N)|%HT$bMbS;y)(H<N!|-3jfSvmsWm
z@nG|B-@@p{zu1+vlQvu1zVdl~!f4<$9$ZSVSuraxKw->i<NZz^aDKLPS0x?~_&2#J
zx62rzO7D20@f;sa^h>xm*UA9yWxvLh8#6R@KD#rLEdVUnReGGPWPs}6P^xam3MBg_
z+k|Z|4f(F*9A1=$7c0rjU+vk!<D;>*-Bn>oSvp{rRxJ&i<i@(rtexN#-SytJMHH6s
z9xE+b(jY==cy5H}f{2c~Std*Z_@BrbrazK~=}``;M`Jut+Cj5Aw<HA{Dev3Ize&S+
zg=CkR6+Rdp`H#r}V?dn0H5d<$Ke`{!*vddk)9GJhxdQMz;NXEO0Rn{XjA6dGB?FAq
zm<9dwg5YkphnV$Q4&q)mAIXfs!|c|N^zJZW(5NCsbi7c2*v~z>0}8S*Yohtmr$iLu
z9<xvKHz>is?>jj?nF)}$`>8L+Edl)}Le{^}r~vyZJ2p&O4ni9u)qg#d0?pq}Dbspt
zz<+X~;(U}mSZM9o!>o;m8#g}_g70a-*6ZOPIBi96w!FsaQXvaXp>dhVVoBf-a8EjY
zw=(QX?2paeEeB)b=9o$g87gKTUcS;ugnJXeKx0830>3$p6m3#q;ag|1^D}i&-Uy;M
zJXVAX%-|IhfeI5n-WFxINN_zaC)y}T83xB`(;t+zLFd8J)Nl+1T8{6SvM?sXqZGv^
z4@MnO{V4dsu9gaEIWDcL|5SlV$fE7^T^&GAeJtmRx<Jni{P?X%9pZT(M@x+AKslb_
zX7C$*(8CwLvmtB3(f{J!Ew$=^LfN-WdaMyNPB{HuqmkgCB-2h-Ob6!God0&)VbE?z
z3<z%{!CQ}q0{cK4zPx(S8^B6~&cAk_X!2w@I;Y3q*P#U_*5^%SElq)CSFvN64H-t;
zl9-t1$gmJsz|wxo3@$p(sp^=KK`msYB0NYFeiYokd*9w1+SZ9@=ePYRmUl?9{5BCX
zABjYJvsl2m>-Rm2F(jxoAw<7CrvQ1B%!Qn@7VzdZ9`9YD3AfU(#K#`P!(z5~?1vl+
zIL+~Vz>z@%PUkapN^y$7n6BtI&NK`7J!&1R!=?sA+e_wK_FRw{(znv>XaNVVo9l*m
ztH4sE@3^en8m3{RmhoW092(fV%a)>*fWazwod3WxI<frP6Kj8S;0g(w^294Zf=i8b
zIrj=(PT}l5u0AtxxPIV$axDSmlP}f$&|*P}Z#1`V>zTnG!B;a`Zg^nA?x{9@<v?8j
zjx9B%m;#Z2r9Z|bVfx)=GnN)!)LY?hRlYz2JePBC(Xt5iY+2xC?(?I=Lqi+&2Wena
zzOU3_9tSSzU|-oHfb3trkNHOj$d#f!Nz&tk8)0u>{|Un(!pzyc2nxUrSLMD_nLB|k
zTt>L77l*Xk3>9!kF~|`cVJdZHhJp?);ks2E;_SDwT03q65i)P+KSMUK6b~iQj#(U9
z7F)!%hZ+O%4*6le<viBo?-_0U7Kg4qH<fY7HiBI8+zkh-5iIeF`RMdr9Ez<4*P|Z|
zfnj3oaMWXOx<}L1=rK<mN_HqtyUS+?^ZSP-UZf4utM<rv4e8_1+&=Ni*&_y^v-`Nt
z%E~Xgqw?{pYGE9rrWE@+l<9-_CvQEDiADOM)rYS?GvQDRm-yr|mp(|QwqZTSYxF@v
zsEj`&4)qDd)ry|g1E~93$1MDhUjF?x-<Ti{)mLPXYJA&v&PQGS1sWr2$$Kp~YJx*W
zfiaWq4!STkko%Hq&5Xu=PmbJ;!Xd9+_V+VB>ws)UTTYxdE2<|NYX9iRp<eqU2CqXp
z!28F?gpHXU-TJ*p;ING#N*dHTCo!rGt`si89rZiV_rjP9C%y_IzliIF#b>qQA?{|k
zoi_&xxNORO^s*3oZcy+=o=Y1>@>+)Y`MFT)-shQ7X2PhfEeMsAP=T2?r8Zv0jk0nc
zwDHP_po}3wjvzZKkj4At7F>Bz?oNXjMna;<-FAb$nSlzf28g&2%ZH{J@*Js(Vo2R4
zYIe0s3oLzcUJTy+$ny=yAyGSVWVt0syAZ4e`mJ$Tik$%3JGJ#;C0zoMPTTo?HqwF-
zQZSRh1rELMF|KY}mqbGs*}{{!wP0Tl>5rVbAj*m6YPJZGM!X`;8E%sl$m$hu5U~|P
z4xy2OOze2X>+|Od`+ExbdGZKf^cF@ZeT!!#hw*4rs>suUP5~EFHM@f;A}F4*=cZ$$
zEZU=&BxF!e0f$$NEUxcG(Q^BQXHNwIjam<zm$y-1b2A1fDJG5z_iZYAmdc@9Np-$0
zqZAl<J9e!)NCFvWRa^Q$kw+`>`C}<uS|FPrI?D7-5@pb+XNRg3P;Btr3*FsX5VciD
zI_@lub~m}*6=_sNjQQ+eo07HQzIKXI)uap(RH?o?(y4^T@0`S8i`)LR9ri0ic(kAA
zli7hjWt8Kr>>YEG3Io^3I|FXZqCeyI8(sY>s5o(dr^zf8_)8>8h^GjMW8O(XsFR4!
z)s)IN+|UN|{uhB$m>dH6`2mq~Rg|fJ!F0n=2Us7D86OdmN1Gc5-E2eD(6}}$*@jUU
zuH|@7SO1bn!x{!BI;7Om)%-iDVSTzlIApWhTcd#DR|b9sWvQbdwFeb1H|Rmh_@5E#
zMMX3qwKn2Dt&Wl(wAZF?_u1zn$z>~4B~)Q@H(?*U2KpYXBg$QC0OcYAu2TI<sN{)C
z=KO>@%4@N?=-Xfj#Xt45?szGqZ^1aYe?uL;H((3B{Kg2NQGYaWSQ!;r>{huqqlWlj
zC8pkZXAD$fiy&b=6@-a78OHLfq2C=XVIj>X@N?fa@IIr0v?J%k;@5~stCARRT#7;G
z>Ca`nS5;8z>~}$z5*75Ak!&Jt0-*cyQ}2xs6|}ouhrpw$j9RB++vU;$KI$azJ#Mao
zvLgh~XCx>h{1UNl?<hb`qLY=%j54|&U8QULMIH&1G3-#5pn*iniNtGXmC<QwhCvx#
zIpouK{WYg44GtO#nMrJ)cb4A3(!E<2$tj7VIR_dn8!TKnBCmw>SC%731-I}26^nrX
z5gPOoWq-OkD56*Us-@*$OCZJS*YhRTG{|W?V%->|fcAeZkJHQ(MXIJHdYTj(n9qnC
zm|c-a74eHUU)zNcDa)>@X(tUxH$?*;$I79G4Y~!V0S>+6vYB@523QbD{rDi3fR3HJ
zeP@1^4+Wk~((BIvFqb@J=zU!lJ!`$~z{$&lZcnY+$~pirXQU)g#^RBXkLD`1jROgv
zOr9L(0<fM(Bg+IC6!@1Mxh1p%bqSh%P>aMs`owve-)2(i7)!{s;Vdf}@Cy1WJ!}FD
zDkH8(!zGZ(sPbDD3l_v?cBhtZXaW~rUNG+H5JOLU&-WK`GoxYu*rQ!{jKL_X?c$h$
zDB2zRNY=-Y36&Mq9BG|5f<Mxo9KNl>NI)e114{!V>eil0t+X}*+v`?KfoFwK(y~Z5
z-yKF&)0`w5USbHXiq+RVFhTTZ_Di4nV@A{=A@YRIX$ZpC+p4uxap*@}JU#gzBbwt*
zf5GT)03P+v+B|gxkbrg3CH>1x$S2ys_`w%_kRyvkgDXE8R8MuOCNm?mmP`Gkm_A6P
zmBqCd@}c?NX$P9wSrFr^*)WDDdN5F)RX4`Thji4L`i&S^QS8-cW%77EVAatU8WiS5
zBtq`gmIxbqS~2_k?49ji>}F%)Z^?r!44;J$?PEt0HQ8%C{JN0y&a*|UoEtfEa56>Q
z+kraU-2;UZb)djWHS(VYH*)`=wyeFA15u|UL?7XFVA%6|)rXzj$oA*?Db7SrG)HW_
zHkGLj)~o7<-`BVhhO>!{rEnvLy_KyjD%wzzB;fN{kQ-r~SC3T8^B_HZSf%{7->d{;
z=sz8~(XqLwIU$~W$e(ubSmbv84~ehqr8jdU4$5G~KM#JiRPJ%yZcYm_{Kwb+9p*t}
z{**DlU;)G%d~5%YBrQm8BJL{^;zcGgd(r3}9QwesNR2bl0-K||^gLF1(Uh$8i>q%1
z(N|l3jl7=}D5M9B$Xwz>EB7p;69t7)jIW!_{reQCG^LKv#rV;l6GOMO&x)Yj&68I*
zoG3ubjefMhg&$=Hxp6(16h%2tpSoBPDBu~Q)Gm8X0R3WlzH>BK97W%I!lV703`WbJ
z%`=>EC~7QFX<R}Q{g%JEC%BaiPS*z9<aP@p<-K9r&R?a_VKH*U$Rjdv%Sx(|b_<~=
zxqakE&t*``^1@w@R5F}udvZX<Sr|#BhwT{tj7Ls~x^%b_$nemS-@-Fi1nml^c(L`%
zqV((&<}1l$7|s~smhTWnF%E<_;xqyMm%bYBwmo02bn&Z?f;h?}R3h3=d8Cn7C;Xs;
z4AD)~pE*(`(8>MI8gxws^m<L19mhlgwvT?2q2f}gA^t*EgtH>L)q3Hck|hP4ZYImU
zdM=Gzc#f{$zomp?YH&Aq7f@irT!=y<;}N~<h)#5aGWu=U`L|s}3wV_J^Y8P?q7<)A
zh5Pd=h;VA`*3f+|c;jpN#CSy(QB*lMBSciuSn~UgK#U6d4F4XeeJ3D4VXbo&>S{=?
z<-tMR3Kb05BJT@+l0#=JUp|~sQ%6Y;zZW*QXhS^dd!qPjdDQ)0I7WzD12H-)#E(AK
zfkzFTmII{<s6fUt|4Oq4>OzOoW{P#eKk5>9P?92gAU(i++*%XeOgPdIP^$-18h?^v
zyp@nA|KTqJS(@lbg*<iQt3Gr|)SYqAQbwLTJ}!SL(nM81HuE2`8^Z6porJ}4WwcBQ
znsGU!iIiG{Gydrrf!#C35Z5Rb<n8BB9Q{iJ*%17lEWC_C-(qX1XI%x^>X~nKiD{tH
zYwHA3k_i+EU_%^sMC6?^Kg9o64LQV@oKh;n;PP#2yHl5mXz$^R{w{Y_QA+Xb+@L+c
z5w)jur&uB~B}e3IY|p!%z;DFg0x&VGeEzBj5ltOaF&R=)M)tYxP6rie;FvEW-y=*!
zNwqQan<PaPbjfz@))^YS3%$Ueovng8G>;d%$;+b~vmkz@fCg8*hdj=2DWlC?cS99^
z0us#PPabHY!O3v?A(F8&5^toBl(OQ{lW#A_@SkXK`I~;ic_$_GpxS`%gp?#29g_)5
zYo|e#TxL|In<Cm$YG{b}6-BshD~p%WV0ZO};M{`>XrjK(rjt_$b^o>Row!1SwcLc8
zqK5J){%=6bAd>)Mu=0=a-Tse4lWv#465aOD{;jg^avs#D_xuQ+lLq0;d2YjtvglX9
z?V3~x4kSj_v~@%Pei8Ss8hym0_eEF#M$p(0hg{jXu0Mc@e|_Anmkg?9dcEhVC^O=?
zSKM_^48T<P_!PT^6v}0hj44iLKugPY+9sDVn2D4a{7+v3X_!|G`dIv>E4K<H^1e5L
z+I_vloK|A!#XG|O)86a!oU^@|NYn)A!CX9M7eo-}WsN4?;8psV-4N$5cVp<kQJ%W=
zQ3yr(g>q`|TA|C=Q5qY|jiB@Peg>+gAfkM}cFq+2q3>sYdPJSU2xOF|kJ*h2Ai|-O
zD!bbM(BY-IOS_#ROow$CuoUp4Ws>WyK+Em^wZ0a@USt4?m}SeA>wIV~!-?+zX_fv(
z!AFn6Yyd%T?-PB*c#;3<CPIbx8a?2()5Y`0^&!@NAUDX38||qiUOYLyPUm|n{B*rh
z5AIm{_v3$ZB60Sgi~=Q_^z3L`@m8W9aPC&=vMA<2&2qD%{n`KMlbqwvCsTESB{NsF
zGG`}ZV4aEMJ<fnGy|8HXVAX|!*NMpoJ9nUY8(rDV>x`(***Vngyv}y7oNLon-+>C+
z(~k=_Gogq@#>H#%+8}rC95KI!9XX=t(?-H9DCSE%GW64i_d%!ZRRh`4?}EDFa}lg)
zV|JR)XO0R7?~Y95+OwmPXjY|Xt87Tk%)VYRm<kpzKIG{iV@F&EuP!^r??9(#$c8an
zTA+1ndcRL1J9_raD^*vY1D#qjzm=Py1&R%({ah35NK|?KVF)7^QkoU9Eg)z?FZ(x@
z-EKP&GaL3KVS*b;)4nyntliGN=REK3Fz!S(rInV{Szcu1@}HdO5eo3lUFc|U+KGy}
zSI1Sk_))p+)(*yhWH>LcQ@2^dfu1M#h{aI_P@#PWuDOs5QmF;PY1N!)A}YA3Cjf_p
zV<YJehqm)Mc%paLBo_)ly3}6Ryxp^K$zfhRWS}sZnQoZyppo9#jGts-MENgm!LWk_
z*GKiDhw6Ay?3=2;>@P%+>5X4^KP8bM_2HQvg-`jA@S>vh)5BuOU3Aa!p<^U)_u88^
znZb{gWbd}Sh)N(q#lB0bx+E~f1-@iU7eEEpW*d&nlIXkJSJymI5^(VNEqyJ;q3I~2
z-0XR2q%k*3vu7niDN9KntxpgYxIc0qyNciTcAUlMO-;xbxn0g8EsVbVUB14UCyP$!
zw~Xs<uXjsq&FKjjLDXK>u;Nby^uwI{yRHNY!Z=$V(iTP0#3>6eGhTVL_TgD2n<)u&
zL)Y74uZSb_4V5s@!wSe@+F!*joCL}{Pljb{N}{=<yffTois)nP=Nj2|5<I`1?!LMx
zh5U3yJP&d!qf~hlf~q<h6!!1YI{!fit$HbIxo<n&U-zTw@gg!LI(um4e#0Z?BQ_L+
z&qVa-(?i*Ki~_7NOc@`>WRaqvcv7~e8cGa){zq?~0yhYfr9*QBly}+pG2=yb#5gGT
zAc?L8qPIMz_c6$${{a91|Njh^cRbZ^6vyqo_vX6hy~ee-@3}@pOH-6lMj5FzXc9_A
zg;FR|Mj=wEM0`(*pFJZQMk*`HimZPAJ+J5Wdd_&B^ZtA&GQ8Ch&-HMuwfYe~-x#)?
z46XhprjFMW9|bMf>!b63XOFi$GXbK5dF4A*10A-hwCe9-pz+A-L}r&M2nSvFxS^+s
z#a<@F$zlek5AKltCut5`e-4~0*44uI9_ugh{A8e&F?WWvzXecPtg{2;wb6~=D?eb7
zfe*(+s`(o%q48Yy^`jHoxQwKZU_S$eH4OP%%&ego46OWfX{h(2+^*y%1Ak_ENB_yR
zfwfEfj`7*hF-_2Z4UYl?@3uQQb8!=JTD7e{Gl!0m4<9F_4CrCzv;bQK9l&$$?wa6!
zIv(4>Cw|;i7jIkU46#)Kr2kjdIzCLtezP+9Ix9MIH%jDRUdIHfgw$j96?Ejh7V7YY
zO&fRJC~$HwW5U-YC9drrbi98d?+;(P2F83c>}?UX0}i#MbKmP}NJ*r-xlz=Ra$cw=
zY=a$m2Axg{<D=mhm*Di@85GQmA(|M$cCeqi{7*(%8w0f+f^|HV@Yi&a6xT63n4L}v
zWfRfDx~|G{)-qWva0;wp_pyW36K!l(-!#y2)3Fk+gOYfoswHa7#tzP(Fe%r}R7V@#
z1FG&<MA7qc!_FyAJ2;k>KCih=4Mo~5%?~gIuzOS5XMd6jA_u!E#Ih>dd45cjapS_Q
z@eK-B53JPn=@7I%px~S}+idtAR;+HazvwE?1g-G3LZ^19;CcaP+S6O}B)!Hz$?w@p
z-;kreM^OoH(e1Q93Qd#l+8LX_Z2~xP{vA1;D~}hi`!9T67$dJ7TneXm5MajYUCiYo
zix=K-em)xfgIplT-aO?cprb#h#YS5i6K(oNnq~V*LFucKfrKrzRI*anQzemW7rW|{
z^`FQ<k?l_!Lv3LGS3%UhRpQvybmVH|g%2ccra9!xGiz{9wp6}<T@-IWR&=S@+(}YX
z=3g<VtzbSoh4{oPf=P2ORdxCw$Tzza3*0TN;BUOY;eKa9q&O{`)IaYgDMFnGyrV1u
z3s&VBe&j>dr=={rE`K4fP26$vZnFS^Sk6Sp0v@zYo4N^x{p4nD10NR+3*fC6OY^JZ
zLa`?I+dQ1#NWtD+4m#oH!0mX4LqmxZUkF7k&S?yi$8KKd{O_|FtPNDF<$1=A?f0|h
zjbld0+p&sCyo4F#M_u}w8_tH}GCS8)%8rvQqZ5}qvP~hlQt@_sI4fGNyFTqV`kS2J
z`)g59)D$+Vzub`cm<64RlEm1*Op*@mEa}M+CUC;BBA?06f?961=A8Z0<Tif!eIC=s
zz&1KSqbvU-vkvrz%+3BGRr_t`)&&`Zte1YD?U7}Y&C!D65cMzV6f4@kdB_Ng`X=J;
z2`-buMU?C>z6+#LiBycwej~^`;qZ2Lc!|vS-%UMKxkUc8Slf5{ry)$()O2QZER%(c
z-=CdUV!`WE(rU>^4PlcLs5Q7PlRlT)4vz(~qHCL-ZwZSbRJ?Iiup3z>Wg=Z(E;O;>
z(>%?YZ}A3DzSaI={F8sACi|=R+g5X6!0Fjpnz{k-)id<|xUk@34F1>C#feh!Gb-uj
z3^3g0`t8;v3;J|2p1r)ljgDso@3^`#pe*E=@aRKUls<~=M%#GNYqREdwpo2h+3}cq
z>J%FW1)BtYa^S}kgBPZv?eyVnskf1GAUhgmNMsz|Er>kItw#%P>A{W{c|EgX9N3im
zuYELK7_Bdlvh&XBf}L{JjsrQI$RZ&1%YsJ~)yjt#?DyzGmG;4nx-(qZ3>!+GxQStC
zl^~b?2OaqP`tx0_eLUDM?eSKrRvf4JAF@=r>cDcfh)4V~FP?SN_|v*w5}njOmm7@G
zVN~GY@78jDr2dq9LuHr7^&Dq1yD!l}WzSGq!UI86FfOUz-!6md?#;BlmUK{65P6+h
zA&m1Lmo&fD$f1<1m|ocu4cxX~%w%B~MZZO%wg=x8@bbCj4_cixVA)a`?G9o{4j4$q
z(UozgySR5lH4UCf+~A!`7RPXIO^Jm@6^!1Qe$Awn260nIotQ$B_$2k6RJXh;E-qR;
z+dWT%Bj-4G7u=J=G3V@kZsAnaiQH#X;z)<Orpf-mZ89kEt#0GctQzv%l<#@@k`9HP
z4)1+6<#5Xpr$yap4g9kImb%?`9r&ZqeO^jl0rz~0P9C6W;XK<Kkq1;=2pF7^+N-aG
zr0gR~Vxu;u#0~PC*V2P^BkN|K7^tAhpDn6eBI)?~%jo0V{`#P{+9NU5je<D?cUE1p
z(8Z+4sC4_|4De<vH1CX8MgKBJWWk6YKGZ(*LVuS5oL$yz5on|0$i0u>VjUTn6ti34
zwyz=J#D^~|^6KdOLYH%%%K+<&YjsO+8bQcc-Cc+GX<$8{UxEHp19U8P5Wg~R4255B
zIdMGIMD5_9TLZR+81|;3<yfF8q>j1U!?YHThxwk~kY$L+msM+8c+H_!_WZ(a4H^nB
zpSxAiZHPkolfmh4EdbgJ?&kp=9T-m=SU(uz^HY=lTjQ<3y{$+wz(NOe`J+yJNisyk
z|C$QF``AGChV>_kxph%o<YM1?F+==BS2Up+6R=}}&TP4_i>kxX<@eSZ;G3iDe$}A>
zVjMmfB-r(E6-T@r%Sydx#I()|IxwMoZ53Ws)x*y0<#0ZJJ&ZP4(jS;*La+XI*BeW^
zDBXOmq+g$oQvXR)cV4lB9qU++YG2nyv0^d(d*WIsvaM?mmBk)PXI+En-*vD-Ge_{o
zdo|p2YO(p>277p6CfH~?M@PMmGNr%-3RZaa>(?B&2b00ID(l;6*d{LYPqtA3kIZZM
zZaTekp6-XtaBWP!^!iZuhn4p=SlZ39*B+F@^SNZWw2&+KuH4RjqS!V|?e);HhwFTy
zUaLbikVCdc=ZFR`mMkk$!}{#ttnxlJ#U?fM%{l)@p@{|ejg^Q5MA-qi>q}NsDit$y
z)Lu+qn<6{cZb(>`wS&TkdvX*{Qm~9?ri75`BfW1V$_GAVLhjonP3>Z3ytp;Zw3+gh
z=$o}`)i-29id@s4-w6sher3*m?sy*&_WE6iNGX7$TI=Juo3fa5vER^GXq1rW<Wg0&
z19*CjV~2l@6pEdqJG@>$K~$g0i+X*F07Wz2w-4zOnD=ta=Z=;sVx#>`L{yP29JJ(V
z533YKE{<&;{99&-%Gj#x#%3D`i2Q=@<%IF{gJhj=+<yoIwfmelf2^U0O0J5P=EwVV
zI_y;aLp1o4i~MTVuw7Oyw=k3&e=2NzI9WSG$OT{AsPAe8&nlh!_nUHHqky=fv&szd
z-X>1(P?9BxUmkcoxPcYZT8OnRFiqI3vx4w03n=M3O@<y^BAd<+47f3;h@9onPF7V5
z*vVz}ZQaK?(w1{*x0cZ)p&-4ZH1)7KWX2!$%xan@<*2nc!l@I4;cd^fU)5%C=DYtR
z0b+vu9&%vFTj4j6xJ1$(QOscIkfy(Y%}=t5Ls7=dX`Hateh?aU&J?<yak>V-`9Yr9
zwV-Bs;V1FIG0cbY!vui3pei=qPmXJ~M+Hrd5S}w{cOKhh0vori^B+3<iQMa1XK?)H
zFrmrVo+V#y3=N${9}<+`lXAL>abFJ)5!+gcmy>$N;1f8pG`6muJnvpQ)^cHx@ZIv&
zxjD-SdLO_|zABRJO|z-+?)X7`$(<{?tYidnuekj;DLo+18HPs7x&I(^q=W_8?ij+N
z&EXI6Z7D>(;qWRs#UI4A(;spq6%8TdTp43i&I=+$HOO$E#1DdReAS(Y_Y7cR=d|ct
zK_&5V(u^i%_k;M(wti=ZwgKFKms;$7xRw|gI-jsR`v<Wud0_3gVg^VIv1?JWnJE37
z<NV%ckhl~$mE&&DfRVd?3hzF*5fs{nW`F)6V#BA3i1A!~81>NkxcIt*aNqHG_c@_q
zVw;Ugon^ZoM7%6{QGBI~C{T5FU|lmpa1T{xonq62oQ-+Y{cfL#v6hRs-CvCo9<K48
z*UWT5I7XxSk$w+hN*8~4-)D@tRGy&Y5~2edL#xA`WBUk$V?^rN^}mR|r%U!PpVDE=
zh9i380$+*lYfY)@rN4<cVW$;u&Cy`viQLm^_XY^X`k5*I-xCC_>oE4))8J@Qz-id{
zov^1A?Q(OPBKEMh>Rz~^4Ywg}`y1&&;*rRRUT^(05qFt;Fmyx<%pH_6)Y*p#Z{r6e
z9ie}SL#)*|A3JJ6#>p9ndy=DsPSX0S@y&CDS!+W-Jx3G7)LZ3qw~Z0~y2o@~Jmv|T
zn6Q15{F=}?#~sF5{fn57^)r8aZ;_}POJ5KP)d24WB4E;Ng1~h<S;8p)h$qbB>URg#
zVR}NrC-l)I(UZ<Nl0U%$>f*H%q`NvO9eMqf?l4XGKI&?mKF$UK7mKyCy4B!g-oYz>
z+5QlgzJgw6Y8+5#m(O-(mm1hAzqqD8HcRB@Z}vX2#0htwpYv)Spu%M_7kyXmd4fJ1
zw@rkb2Z*}C>JK4Qh{~MyEZDI~ygoD1^VN|L$f14(eO@Y*kA)D=`<97_`@&xgNC9xY
z9~uzxKovfC$gF<Xv63IFQPrz3VX(?5sJOdP6$H}n*8T8c1CF|$+8x%SaAP_4aN<7-
z1o8RJc?okskPzc<_g67+W8}^!mr=m(mVUX)C?}-pKRSBwnFJ*Io8PjGra<WYH5K1K
z+_1%?YP9i*6xi)z`MYHo1;ho83sji!0YBF*w}yThaB2Oir)p0D&8n`iJcR;q_+gF5
zhSl=0=2O{#hb;wOyLrd&_Ynq-t6Sfw{7?jgC#J(r&J?hW_*o>cFA7)PJ$Qb4slexV
z(N(plDe$@Q4kN5Z42Fd4&8o&JaPhfwd{_+y4(};^#+4!glU2f}-lS3Cj@VdJmANX6
z9f&aqjFp1W2SLn$V0FlJbClwKuL@@kKDP?x$v{l_K#rf6CfwvSoxFID3K}15X_J5C
zAbf9KhH8j5<hrfzzMiWF;+L%c9y+23%v)RD?a81+t;xYkj~R8iW7-@zFRTK!=US`F
zzw1Jo(Wu+^tD4Yj!hN*v3<WC22ITn^88BeET_Y(%8%i`yrdn93;L9+#`m@FWind6n
zSH7pi&D#|=@hNKXK=91zsbE78o%8AFyrBo~WaxK!rUv-s`L=7FH-hVr1I|c%W5D1s
zasHM`P4M^`oD&^x3|XJPwi2%l;VutvsMrH-IJ~8@aBO7{9(<*}fm&+}L2-O1>D%a#
z<9A4+Wo2(}|Hg0PENlkvCRcA+Gp++1m;NRw8JmJnU2I2Fqy-e;8T2jPrw4i3g-$J6
zrf_PDx?HrRH9S1#GZOVgA98Mm75!IY0`s5v1l5Xd!EvIYR>6Y-RV@au2R|EwWL%DX
zSSEmUY{R+a*9_R>7h5rX!w3%ak7_^dX2MHL_3&R~46wU)&ZT<D0Pe<7qdk7D_~<=W
zl+=|ttNU`~ixz#D6+9Fe-enIbDbd^>uNa^)IAyN8oenHPPn4!(9Uv_wYU{nt43H&`
zOI=CQfOlQHRjzY5g1~52aZiXo)Sqt+`dmkWyx#VzOr|5G?k;n5{izG#opS4hx5+_5
z)w9&Qs~mxPc59ZHk`9C?t7}=7i$eISA<7OpNBDdBtk7*48Vn~~JCv=&0g?0mEYGSO
zK-G7|#db^+?(ktwe()%9?zzxH$QB3iyVNvW@<<(cu5Uc=-q%NVK0lesU1twEezZOd
zKPqHf<kon(&69O>uh1rAdvFz1cvPW5frXx3J1^^VppVi-N@j{36tKTDjh#@0@NFFz
z9ZvBg&E%5r+oct~G3O~1TO$h(=1ZR++A4_kI&xzJK1{F}bQFF3MH2iR_ZQkN2xCW&
z_|f220JGnFwl0~8!8O-5g_bT6WWqj+mGnV$YNT%Fxge-7hNf(D5k;QE)!riE1dO-%
z_`bNx4YXIa!>$RUxZY~a^?sBsgf9>2ubpLu4r+v-%570p?V)Ga+_V7?!|rd~?SBcj
zd+!c1&x>Mpmq=XhOKXVprBBbk`b`{_jlLt}E{dUs0+(#QTS3|^AFHi$Kas6{+0s&1
z6vg~{14ERopolJWA$RB*@qS+Q>d=x14s>T7VD7bq-{n!<Z*4lr!B<(o!#hOqT)#(0
z*<%YRAIyCJ&+7;26&JIrvqS_P)jm-~xhz1z-t_MJlfTKGHgN-S`64*eGrk<}V-CDL
zk+%1lGh|ahu=n;N5!_UBy(q8F4E8$F#f(z_k`>Lr3TU+=D2cwxqh@BnxwE9}_{}9!
zcQF2T_^b#XTPN&1pKl6xee<lFGFdREm{H_oEs8}S=c|)7OyO(rjoEh|Y{+Ak#LP(+
z#ia>vjkE_Q&}O4-a)g}&Yxlk|`X(TTIn-W*Nj(#=UgUk5l+1~Z&zX){DPm~%BXC{P
zYh$Pi_0)A&<Hn`7rV>v=9L<mC9ZYgI20N<`t&@*<aL0`QV%)MgI!e$B#YT-lATDg5
zwkaR>s8rTwe~`fD+#yNZI3u`rl%s{H=Euo2QAt|8Bx<BP^Sc=v!EkEs6_Y)Jc=Lhr
zzq{R1NSsYrC><~aosRG}eSTpqj_K@;XO}?=i=Ssrsv&T_eB;mIBZ2{C-#nt$$|6Jl
z%+ivpA>_Y4Q=hj%6bIQJhE3+n;Wx*<u45EKkVz$O89S`_-ok5oOu7O-DC#yPrVPMG
zvMr3ZRvagFDG7Q1DPmPwq}cN&16cePkvZuufo#U*r0zLoJnmHGM|*An+AIucjFQB}
z^_r!n`6`%yf)<nXzyPdej$}5KNnyqYmEB*mC}`ETT+h7{?>Q^N^MOkSt8#{IHs`Bi
zhwO>sN5uw^e=jmF##a{opVqMOS5Wa^qx7}^S`FZ>g|U@!mmFf~7qi$;YB(-dq5Sxt
z0r2p#|84V7z@ZUO(`r@?j4H0ptR@U0%lY)q!8t`_$jXs?dYb6hA{Ke%x*?o1+7uI*
zt&E#aiY%`vUlii_IwrJe2!2UD2X;MCLAip|LHWztxYxzKwe6%4oU3X$X>f~zwZF*W
z&>|Y{wJ<&RM#LEMYMz})j#NeCU-7TM*3z-~S*7H~3S&5ZDlH`JFcn|itsLFitb@^(
zoF8{Zn?S7UeTLZ{H54{~Wy$qQ7tPnp%DmrW3W}GSho5d#NA`C5;<2-OXtn#`{mSiT
zU>O~=)814A$J2IS>Xp*RvW;IVggneaB4fv~x8j<Z5y9CTe?lKk0_{9+g<3$$9g+6z
zubSx8THbyvT^}WjUL~leTf%?LPC?0Zt(EyMAAEjRA0rR6_<A*1L5ar67b;9`6zEjd
zb(Pe|Rc|xiaxGdzQ~#fbGu7I7Fgba{PftCZ6y1D<SHl(>^E`hk(P^04-*scjLl>1L
z=bFdu2#C5R7h2~}!(`i*g&-*%yiQDrrKtmC&j)VjkDy`AyUvD?D>QuT_@HL;HbBhV
zsyMMA8VWe*O6+LT!nrHavIkh1!1qKX)<u_w(>A@H@4ssx{g3*)M_ZYI;eulM@3fI#
zy)d-)s~YOb4#%k_Frg!Nq|Crr8<SdV?TXt}F|0e=lm3bcrTq_mSA}b#L#0IN<0=)@
z2s=DGSI-26<ihUNd74=8eXo;Jf+EVNZ!5oA$AqPU`bd{j4ZOdmv~pvkEI#pYIg#*!
z39@?_>qVZcqmicA>e9_pI7#tg$R#qNC?a6iIztU79?CEMqKTtI@A=+nPbM(JZrR;9
zN5%I6iz$9yB6vlF_SufY1oo(-*TOwiaZcg!u7zQKOiMXBTHFn=xXH3=+=_zR9flLa
znz`}Fz$$IwSb(18{~RrqR50LvbEk_x2eRGSE411S;FRU5t7>9O7${y^yFZ^5^HrX!
zOCkZor!GI5T9(IqVfFWK2>v4vMwC095hNf!=<NQR+;W)b?YSkgbAi0G`a%b%t1YnK
zY%sf^FM|clhmRBD|B@{VTQU!4*}#oonMRZoQusqMn3t5FBSrq(^+;yI8p`~yk2QUl
zz_%tRTQuBeN%;?Khvo@uF!xZ@(>yMYI;Zble#w|6lQ<TVniH%*oLOWjLlZ-ti{%ON
zF|%aIWZqlZK}+~0msrlnDvHOlc5YI2nj?cbx9S*xB@ii2?VQuXNLT0QSKarQd^<V*
zW>cC4a1{=CpVSmWttHg*YMCb!TX$)vE}O&9ZI(Y*Qv@*Rmta`j$we~r2tL<X;l-iV
zUAuKw^W*wWM(ZYaFOv!;cI9kMX3*Lkx|XiXhe^}p^-1O|cwBm4s;RXZ@Y`7KJG6!u
z&*r6>gt)Te9s1q}HH9l&Xt0i9yUBxFfBISeca06zqzjLe>Zb6h!t0^DI1jph5YLqO
z#E#w*8_!YinZW4@$t;s{ZfrSWA9LP{6Zd@B8^%I0freFgEyWYLk>!nPc-IpyOh2RM
z;g@X;t*P9a)z`RD%B6&79l?VW$}y1vD}Gj_the!LF*imRpZO5;ofrAlbxvr#HUjRH
zEcV2I+~`+PR&Xna9}hhZmwmg@2r9%kZ9aUE2REoGJHC$=M2oeeH+_E?!gR!S?x*a$
z_-^6_`8jf>uYsqZJ46{m$Fr$j+^=~tD>p8>s#OF@KdMQFx*_;fO+G)8%!iM?xN&+~
z6i;2<vin`50oeC4Z5>niv4^=+`i71;1{<`#<3GJJvAFdGqND(Redg!2=A;B>4lD2O
zXBYq}@QV3_PY7wM^%}2xCGo{0=k&^-3~0a9@WlL#Fs5?6nZD^EjTc80dF+Z9AXM2q
zJQpj1UtLA^hs?>K%6G;q-qR~OS#Z6xcCaXxPEq_C3gvK3S*v-EGXwlSoDlr$yTaqC
zg-0`y3i#zur{g_+28i>M_BKbw@lN~Ck%ePQsHf6+Wt%Jm`YxKOHKa%&-yo~?Y6lf8
zdoC}fAj|+t*2J2S50dyPH_9j2or1eB#qfg|18#L)z5HEQ8owPD_-cAV6$e~2<8{>-
z&~W^2S8<vQzT7?XV78pP@_+r8j;&(AqkGM_jWy-4`n%`oS$1{w+52{|{v-q9Zy1{F
ztCL4j@9n~q+ceP6SdD9`k^#=vk{kLjDB_yX`GCB~niy02ae7e20Cv9r^(A+gGV(9y
zxrm5p<L_nNyr7!~FfZgsjm=a+n`65tjvuDsV1e4c9V_$tH(j2-Ig^4f_DfkTHqsHc
z_3_y@8^Vl=fRf(|NBj2CszQ`>aYlEJ*C)vcw9k98guJ5SJ?i(8U2b|PF-l{J3^Rt&
zqkn&g)u~~<#82_Rq56pYFn=S=1b*j#Jk#(|9TgQ!FM}xqv3Sus^M)xTNAMJJ|Ik4B
zU;4f_HyJpSq_;0}MUNRT+Q~@`YU2K=e^1pq8QAk*rBb$(1#CI=u6}Ko7QP!T-f`qN
z121}r#{WHH30E{~enmdh#ygK{Q}^~U(4q61(ZDAw_~9*gBp`%_ou(17KKB{u5+PLK
zy2=LRmxU@Tgy`7yI;uL&n1Omd{?f*Iw$Q&Oy1X!wj%!)DrjzvaG5e)ZK*kaQbJRN>
zRx3PCyfUS=oT7^t*wc0PtZ*mn*_qQRJ#_q<t;E0WIURXZd%BD?m|*q$RrXn=qx<Fc
zi4|A1vFfwCkH>8$c&s~g&?A_R?~YC!dTpkOFnMXq)GQNbgDz!+57Y4D%a<ALZ`Clu
zs;R-m(hll21akc{rr~|IR7IiHs<>m0{ZhdmJGk5Dz_)R`Hu|ts%+5SiMzi4kmt+pw
zfqC2OuTjog7#}ao+x%B<<$kIN;bRA}$&}-}bTyIM_R3@QwiI%#S$zN0-VPchtutk(
z)N$5sw2zr7hBr48_0b}BP^(-?mCjYe6#APrFU^JUu)r11#YQFsrT^yGw}XmVW5a>(
zWO*?C+r7-4;Y^rIsJVQNRTWQ!M9QxlX2TkN4*v{ICiE$evhOTX!8Ph`N6uO;kx?-<
z-I28b%Rll?>}Xa(KIf`Of*b#kcPCu-uighR*;sx^#zg^J*N?4j?Eg&)s43dlu>sgt
zYwk2!mc@sM_O5fdF-%ft_N1~~5l|OXQes{!jVdXGko2<w(oLe%PyDbgguK6MXHh1J
zUZt@vLh-$1f${C|J-If((b<Hv9pV_-70}|%_KD<6e0f#qyETZmwhSoAi6Pg<y!Y|i
z-Q?yhscYS8*05tFN$Yrw2%Zmk*#0-Fn^c>dsx$Mq0$Smgml~ErxT&BuC;0v+^2Ljv
z<NKdl0)NbOpwKgZ^i<z%nylGNGH;!s#;{nz{;y7jJjZ#F)$HRB?}2_&EO2}H^{p1r
z5w87(C7c`Q&%UrQyZ4Rs8u8g4o^KA>owQ4LYdMi<YV$LDK1hnt4JHhE%t1GCMmcmd
z2i}N{mN69^B{9QdQ=-2a{E(}4(iCGy5s8FssXOCj@rLA05zVGh;kef%jGGP5&usr2
zqccGsFs^CnvsmHI^2MoOT~_>kw9NdR@)Y?$00030{|uLhKh<p*hwYJl?CsdwIrjeD
zMx`i<Bq^a`gv<&Jk*EmCOh!dYRw0UWCn}1(Xh~Tah3rt_^%vaF^SPhr`@OEIx$23m
zdwMX%l&S7^o(}iqSHGK8Sfts=sg0$H>w&*}xxw3&b=qmgT@li-L}M@78{e3!3oN_S
z%Oqi)#;H+y`$*slZPbJ*h?QFxR?{Qg13T7e`Ry)A>@|OB$@EWl9ZuANV5f;^*7<9+
zbDTZw!oq8`3pU|W9lSbFwCyZquyT!NP#bqZ)|L*>oZVt?nW+uNC#IP<)2-8(9D>eF
z=g?zP0E_+$Ic+#q#W<>*uuj{(KBw$P$B0?Ek59NfqC#lzZHQ8!Lz^Na2cAeKT-qXX
zmS-y!-qb|}A1$Oqo$?;0pWG}sl&li*?;8bd&-(i4n9!q7!k&Z7G*+zrRm^G<NdbFM
zc_1)Dk6l%{`zw>!k>g<f@o8}i#C1vTzx<p5JqEJ3hemUtRH{YSwF_Dx<5WC+sDcr@
zo>drZ%HhHXZCA7Zeb5B+PlsE|8kq1dUFAowejY3wNPhfCPZMPBgoSqfWX9f+A^F`Z
zd>9+9KjxXI0T*+XB~KW!qQL6@Q%O-IY;<sS?i0`ei$7eVfe+ZwYWbqs?FoL2)cko!
zB10Yif^ge!%S}k#!?xagN)U%N>UTRRsY91jbc8PhCu%#+c*Q9S;|aN**{?6v;L)b0
zX0J&uTz1-<H}hKry=tt!`<+ySbB;s7@9B9ldg|C=`$;kEs^{$eX{-jx;_hPU3Vc{D
z5v%f$O%lyyPub=1tAT`)&Deq`33vJz*uUK&jU}&VqSTnwpzD5zQs`5DED~COb^e<S
z4t3fpX7Q+jt^{NLWr`p|V8>##nk<&=;bQePQiI0oH}6tk2w~q*Z^ciEa%gkdhdKPB
z8W@MP9IFl!K?jY<tbQg1toN@{HCtAL2PZw&+P8|KXx#Bzde;<jTl)pl^>lTpkp3*b
z%~%3Q_(QZ~Rh7{x>~7hUBO0)uSM~EBJ1GpTFm2q@t%6@<zMnSq(}b95_U>>(1{n<4
z1uw^{Atf>Q+>=r*AiYzp7C1)6+p;Ac4-7OghW%w`Zw3Y8RXW7$b7V2XDW^{QyCz<(
zD-%tQ+IVjk-MOq^<WTvdT}2^5!J3P!w7@uR;Nm{Kv!1Mg!&On&HP$Hj`JWqKdW{bB
zMW&V~`6*(Y>0GCM5fvS>Lfn3G>Vea0Q<C~4CG;v6ef(KV8@)D<m(^a<hfs&bALKb@
zG}7PmPa#zs<!Ud;*vJ`z?D*rFc^Op<W`5e2->i+UA5>gYKO4aSTcd=nfg09zXD~(5
zw2?CR`X*PQ3A{GAHEN}<j#SE}fHP6r7<X&vNK=p*nAIxleEqGCInp~<N0+Gh&RUrM
zz6k+`ehv;^O47hLtw#m4sZ``mY+S551(0*HFXq*R29`_}g=VW!@F%GzS<cb|+NlSL
z9yU!>6?$^@OrHk6kB|OgJ#PV(scdUXLmGG{Lv1LDRSo&_o{QVXSwf=Ue!anP4LlJ|
zdZje4gxj0x6?m2`A;-xf^5<)HY`81oF3=#4Ta1i?4q92k+RjkZ{ysH4|F*g#G=_}v
zzjRZj{H!41HMe4Aohp77(~W~>33N?SBV<lkLCt?-MiSmCs4FpeL1a(}V-*KHoAy{i
z`VFlkYqLsdeSBSH@jM@{2ed|o$XG!fpL%$Sha%RSJqTC}W5@F8oLtrSmLP4+eb?%_
zJSvC72N^wjG*jvqoH}I*B2p<lo5kcXOMbe3Ys>=ems(kK0IwzZJnWAV4I^XsY+GQ4
z!4U24{GEobJPRn?{*3glQX1)as~3!FfOg<oJl_>n3%H-+TQZw2fdP9nJEr9O2o?A#
zy!#P=lTkY*vQQKg2dbX6XN(j0_CK1QDS)Q8hwsZ?A*^`!EYXW|hIn@ApUnP50#dD2
zU4K~#Ae(>@@885Z;^(oB9N%JdSm-XQks08_j$p03j@%1Gx^Cd7cdyJK<iq~3F?Swx
z8_aE%ZC)UxE|G00)20y0Ix-V<gahZY<Ev}GEfDV<ujjT&n!?|nKKImiR?PJ6`zR8(
zK=kn?Zq0Nw0g{nCZ_;%pq?=)Ni25>5Y#si@bu8H!JTq@LmsipwHQIV*Ze@;0q3Co@
zbQ{5E-;oSkt2J64bHK3j(k#Io>viXyq!Ada3DxA(t<ZMe*%6}reTFFKd7u2m-w+Ic
zcB>9PS)@UUKDWxvY2u!%9-aLQ18`{-`tVg}j&{Fk`_`f}Q-symXJ0_d078$Gz9gFb
zqE&>5TiZrX5O?;4v00tf2gAIeqOqQFnlM#bY=7Pl;_T-WANYp#K&|)R=@p6Zw8P)c
zjyKGV5!GqC+D_Q%fvywFOX_MrZ6MY=mliTg>|i*zNwr=VghY0g=Dqzyv-Z5;Q=>XU
zJbV^gz@@GWJKyFq*2Q+wNMWprF+$%7y-i1}X9{#c?734+`ldG87Z(pXMuTC3L6ZGd
zskjc@j|o)D_C%WN#VUitSB41oRyii=ENx)ff6{MXSUGK?YKay|8X}T1c2+2fX+wUt
z&9y}qFIxDKtrOTbNa(Uy7nR(i!leN=2IYwoV(CcKzS*ilLQ+O=CP9%3l!E`lRE+9~
z@R8`~r>%p;FFTg7^2&|ABi$c~Hf|!e#@sa*<Q^gt`oGjN00oQ!`@44rzan@_eDtl)
z4H4h%>UMr9)Pj3%(?R72-x8e1)#9flhKcU_tc994ny|_!8rOfNljuzSx<(!wCK7tq
zHG}?Wzz;Ed^XkuC#7jxxH^;txCvN5Q@r-C{K#grp`w!XogdJl<eiP#;v0LEp*J*Ec
zh%Dsf`FP?Zk?=fovfgEk*tuDV9CS|&e2-=-*uMQt1apTs9_}9}C{}+<w@;~pk^3L^
zO0zy9>B`ubquD=+!ei%O9Wqdbh-s?={q}E!-mbCZ42hG3LPPMr>^K!r%dK`l^?ZPs
zX1{h_{OK<O*{@LtdzE3Ll)dq+&JfYyQ+2Z-ZH6dz<lZl<s|@eCu%HWvi4xW%C68aT
z#B{;J<(;WYVBo@kslk7Q=-no<uiJl~V2Igz&vj7|f^@kB8qLRul<TFl-a?B6|8xIP
zIG_ll*H15H82%vKx@$i&P5veln76pDw<^HRIO7GcLlZ=VtzR(n{4%klj^lW)i2|4#
zL~qT1Iz<c|9p$yB{3WV<e`hII$%F8$dYg>$4Dq=&=)m5RRYFj&LgR^sJY>$Wnt7(q
z5*$~1$3?X1K+@4IE1*mcSmuANNXyI<2gIBcIv&x(z7q_kk-BoAbSu!-^!)-cnV1n1
ze}EC<JNiKyWnr0X)BZozzX`j`JQYWEnBjY<e@y8vSvb5-s$_e$O!&?Q@+}y#LNwFp
zXyOktxRG0UuX6n*c7!dx)(B^ZpOdu3ZSiD?Tey~}dTo_(kS?-HnBsu5H$KTFXp({b
z_(gjT6*^#fzi(yvE;k&bHuXq+m4Wy@E|XWw=;6G2s_#-4FYI}7xP$eE3@l#uc7L~@
z5z?mZV>BX2U?FPY9KTlv4nMvZ*{914gF=SQyX^$voKcdAyrK+z|Do(9XwC{#6*+7U
zJA{BwW{IzsK?YvTL}=+mv4g(xYK4BZ2xMKmQo-CW4Rd22vDOP5Q1#>blKP|=u;br=
zxNp)>dMU8F=m9t6d4F<oNR<TFQWp;^W*InE#^d&{n-{*7T|LxdA_GC%=k|u{$w0KS
zQtO42B-niQ0Oi3uGJIIOx|$p-1753@#k;Ho;BHz=x?Y?d$miMD$}h`+pdrs;3u7TL
zigH#`KBNFk21AFRq?4gh%<|jfK@n(M_scqRKnYSE)Ajp~$wFMv?X~hpV&L=Tko5H^
z6&QZ8_pf%S925&yP4E~?f>PmT<Gb~0&^PL?<kKP#XIx{Kn&+g!s@EiL4@ncAEie4!
zKB@@9C0qT{0?6=sTF;=#i~>8)v0vTlp$wPa&7br9D+@nEZD?D=sKEI^F2t-!6&~}i
zb$R5<L;k+rZy$=a;TY+e=C<n^pxW|m?Vf`o47r9B8NAT}s&W|9!2k*byl$O6$D<4b
zZwi}Rx^%(zzrfPlyR<=NhkT_-mkLnh+%$5^^}y8x8kj?LVI}$q`B0J?Sbhw)mD;5b
zY3k>-Ogi)-A;<I39|H}zd!%WVr$`?}D##%+u0~LE*FE4oYQlfIPn#8P>4V?>HbVwB
zQ<$5~)n(`0;BjBx9g^z$5WXpX=G+T&FkRwjmfzsDZQ?ihH`#1(RaH$?aUFpCBVl~H
zLV=7=_8Nh+I^Y>Wb&g%N0A;QCVo?n$ls!%`&8BEWU^8>)l9UyY9ws;+R;L2lz~C}X
zhyrywKXm2!tf9U8_oC?{1*Geg1k_HeLC=&%*v>X<_#W@PBpOeFimSRVO6L^8FyC)T
zVDn~h|DYmqqf-k)eLYQ|N0DK&*MpcjzZp*dtpCr#KohD?>x7IuiGn}9&HIt)&G7fw
z?z9p|bzqSUy6JhG7j}MGox5zm8D^F*y@=e%xx^p3UAyV%!A>eB>dw41{5SA8g|w&y
z%kj$>Z4AB;j9)*c*PXJ4`w*?jdrJW<pHEEW#!l0gPe0Tc7`KA<f#>dymU1v4cS$(u
z7acO$CeHk@vw~=o)+vW+87Lk&JIB7jiZw2hol6faVYj!A=XG~U5Pz$<yjhnEvuvLj
zcyU-lcjMvj>B6Gmb^NdEdL%E_kF$vk1z142l-Xn}pCA;39Gg4!f)6j=AM9@X1kk%@
z?$NXpA2?{9ZLLlrVXgj;X3y;ao09GB?|;n!p~KAKON{(z9^j3;;|aL)_@3<bbIkB2
z$x(-@!;gxEol?}R=Af#baM?9uooEkyHzuabkDApc+U0p>aOTGlm9SkTdR7MaToLBS
zWg(8%=g&<c_|yKnN4(<zPe8E0M4Xy<;rve$Qf>}68_t>l-9qEE(VKR{MB~Wl@DmcA
zG9CLcsBQwi%E?bTUbNG$pGc~@oIpa3|DILmh8V-~>u*CUUVo?6FMDiP_9Ef-%d|Yd
zW+NCsrf5;-F+<zAB+wbWorH%fh=KqqBak}Wn=<)wk+#hxf^Wi-gi&f+gMOVigs(T|
z9d4HVp@kQHTa&dXA=%)Jg7bs{<lS?4#v`>(`)9b@Yv}|D@uGb?^?(7W`=<yLZg{Up
z#M!LI5)$$h@j0u0&<CMs|GfNS7?J0x#gP9W67C%ee#GRg4_~@Puf^<SMt`T^t{N|X
z?Em$IC$~=zGCt&|crdYI-G>SRsZoC1eMYft#77Twjs*|&ZFnW~!GRdg3j+9eM3-Y^
zRTr$AhLa3!H(_O3Ou!cdL2L{XdG<I{7fdgov)3BuKmr)=^sx%zjr@d;^TxW+owqGw
z{Sp_}KYY-1a83xPDZM$DhIOFXrN<{+iwC0|jtZA83FAejz3ZZBIw15dZReRFUhEjz
zVonkf#UjV@uQ_%)a4<-Rce^7Wnh0g4y>=8sQbPWCESC;!Gt@t_Vot&v$4!F&-WSJ;
z^Pl59K5E0K<Gbbz_4)C|_c-<%Nl8o|H-6E5UmH^N)_krS3t+5Y_S2pRQfNQ6BAphm
z4b0+$>UKK>(V+QF*C|yQZ24?T4i3@=?72@@7$}4kbDeZWPBOlJcx12BQEhm1!SG&8
zp)fYGWNGgEL&o>n&bJM`wIQ<ixaxyZ5$x<HUsGF<MX~c^2Q^M<!y(_RH?NwC;U$hH
zeYa&f96h>+!6ic*hQ9?nZo4Cn4LTo-jhGeCKG?Zq<fS$=d5)gU-#B;UnYyk-5k-vk
z_E}(K(}7BDee&00Dg1aM=|qB-5`G(ys+iob17&sd%7Zd8_+g7uYsD62Y?gIvD|)fv
zl^nga`UM%(KV!1+W}gb;-E=Vp(1j&VRae~(GS((<+5Xi_6<@bJ?-JU`Y57srvBC$k
zsHC{Zh3u||FBSJS{dZaqVv3KQ{&iUny$)*1OKeuhHLtJRbq)04p;XS%t3L8bp}wxJ
z<<`JQ`*_b@WH*3DU60-~)(S{lEeJpPSOY^W{=L{UZ2+}*x~@2F+=o}Uv#m)}6Q`qw
z-MmH(foHnKoETKZowc3ht>KzTtZ7fjO&EdSg*!pgIZ7zz(v}hstBDE4+8;{)7{k7{
zob`Ja%DCsgEAMwl&5gOqZT;M)z~A>W@k*yMI+izZiw$a^(4@dwZ&@?Qjq2Ke$4Ujm
zM_xoXt7>4!F6DYgEpt#T{!y%#p@MFAdTjKx)lqJ*WU7WH0XM>2qoiM};Bd!*_{)D)
zaV~AmsgV<)wp*@2phpF7<@;YMOjN<1YM<l_VE}uZUQNBMQ^9SjZ~uF@;gKYXcCo$=
zfFgdcJjT;1$d>m0;VvCTyq7Q&(<@{F7gxL9(nu=k&#*iE)<JokeNwClb{3$d`zn|x
zK^f^)W51`Jmqi=x6t$#{{G2YX=iAh;gvL&9S4!{7pit64+xi&`P-rmW$`esSs)@YE
z`6@}2Fy`_JkF<cr%=GMo#)|mn`?b2?+r+T)fToeFw*|~qaSWJlQ^24i!i$|Oj2yQ{
zAasibuzvnE?X+DUlZfV+a!Ua`Y3|+nQrH4SxQi1jEakAd-l*wzH6QkTYs>Wh2H>7z
zc~rze7Ilp3gi=<xalXiq`{+%8u~C&DztqTh-fCh?lokidy?)(V;s}uGsBl(DK?cJ*
zDsIWLvY}`5yxtTuK)d^jU5l+0Qj%___l7fLd<;YKAs+%R9Hd4ocuL^F@h6`z1T$i$
zbJd}MCi9KCKF%d6V)&{|?`Xj!J$lpR$3;ZV;at6Rb@o>gWC<uZw&Nom@``j1a0Hq`
zt+OVJt&K3YL|#f5lBdJ09F>*y7E=((PWGmD3nJNZDV8y1omQFMy5re~&wl1KCUKk-
zz=uj}T<yo#Y0Cj-56n-QK=-9rEq`tKk%9f=Z_4X++SAm9va<Ka@Rqf^uhfWy74p=w
zXd5~#X&SW+*EfdTBR|G{w(_CSix0PEzR)4#>U`W#wh^e@SK4bF%8MrrWsNyA>Cw0%
zE>w-t2rOcc+?zhbgQpJLJ#Re8fSbwd`4NGJknddD-DJm&&c5S;;wKrARP8T0({BLr
zL7cPBySec4>g#HY4bOg}EfQGdWB>;Y=2Aqja-v>g8Vj^BBW-5et?G7t@RI*Wm%7A(
zhSfS5OJb~e?2JH;o~=IA%<V}DO69;|M!m1}7uoQfr=SwF>%mNE#bTZ-2X1bOCNkMJ
zA(vH%-<+c!d>=6|u-?gmAAS18&lYhYW6PjxK))`?tq*@_^W(rx|4ngBxpU$9+V$lx
zfx1Ay0rEd8Ik3_tTqQ=I2X{M8W&1Mg!bE2`r9he!mwen$iKg@73#LfQ?tC2}7n?sc
zd(4TAA6;d$3;6K*v4Vmg&;dCq(t=YU7goyG(EV*B;ia_qHpG}V?24N9Y<A$r@1q5E
zm!|oV*Z1$W$?MucdnzmX(1i!R7LJ_G)D=YQvf--DTQ~AHW9~|=6)%z#X-5;T31Kz6
zaB(xeHf+~WNc`^?FTOrF++0B~g1MTn<$u4Rf=768BzqYjb}i<cI$jmUY~K1;kx5jz
zn7dQ%Q#1)j3BxBhDB}2Q%D|A@lL~I%Gb5UP`LS^(pK^R!0)_T^S)C)O@b1TnJ8nJ#
zc<WK>^Vn7?{QCQ1<5MLn^lXrl##uppVsb?-!(9fyT%a(ti&Nod8~a3Ui4dm!Jg+S2
zO~$NWR<)lcs37jYef{vHF#09-Z=XCPi%s_&vJ^IW)I?BibNCifRI!^M*3aMQms4i7
zJhoJji!3l)s1?I@?k~NS?ee%JJfF)QNrk?z4OUqofuBzKxkfN4;(=)WrzH(kNHJ&2
zs_U0TSqU0##X<?Y(lj&z1+*bnr+H2(O&VvW?rF7NP{vKwLh>W$wc%fkZWl+H41V@#
zWXNbz!7C3h(uXtYfbj7HL1(kc7+tkbjqjf-z8dj}ciz~q;X_8xnnYP-do}X%ld?K$
z>+ruhvPTzu$e4TXq8x@YKj(|J(7>qu*JWAd^}uRbMOgftJo2=Bd-B*!6SX`Fk1lcO
zLwgr*r~XL=JV#5Zv=Pw4Y=v9>(wqixMrZKjq>myN#4%6Zf2xJ~6YnQ{Wep*NF}Cr|
zZY9);k3K6WNI{d6&ENBEjUXx}XzZuDGV+x=dR|kbps(>w=^Zh~Q0n5H#yPKytG1)<
zW|9;X$rC^Q>V*jiX52o|k*9+7Z~Kov?9js2&%Y^KSj@n>$6jJgLlqAw8xSveweU`b
z@Ofz~bGUU%Q!_AA6^j<T)#T|l@#SnOMKPEFzdiE}8eddVvh=m|)NOTCa$Af@*$mM9
zE8x@coGM<|e3P+Cr-lp1_p55X0PtaS;Ys|eipBRPHH+j_Ffn)kl^dEC5c_RQX=1i2
zPAZEt{S{ThkebsmS{E(A`E;}TYgJV&&HvW$WnLaR_En}hwOGJ2WybpSWEC7}k#_HV
zE{m7+p1ySZWdYTu9CRh`lrhsg{J`LK8MJM1yp=;|2@^J5{%w;=IK?#q<XH)9@GhRR
z+VG=1H}&TkQ;I0<pMQhAEP|Wg>t`5`T0jIVu}%Gx0#>B#mQA-8#E5O>kNX=epyQD3
z-gi~<_&L4M)Q^dTYn$|xKEzo-iQj^FNsJucrk`GTZo-YlhxeFwT3Nuk(hzd2gDfUJ
z8`*ZilpP~4{rr1m31E*Pz0oZxGEz%cL)%$4^36s@VCgmh%Rdzc{t;;$KeuV*M>0Jo
z$*h%U+5!j`KOZ#Am&8b}v<C+=S80MHm;Z<j5WuqM*|D#o;<)9u($}S(E3}kz)oE80
z2uOJORt}GeV%QriGB5czO<Z(5pv}h|I%C91JEDZq&H0fx^Urx2;dwVCqs$Bnme=Q=
zKNiHZza2&2#?8_Et=;ut(G;@j<y>7z0=O+NMwRvBER9EWO0U}76le@L*G}9ZVH+t+
zp}b+1wuE-|xmQf!)n3t84Q6~e<jXL5h&)FNQxnql=`)6{pHhdsH}T@5I|ZwLlXEof
zB++jNsK)TgviWo10vDRuu(&_wT%etdN=m$Q*$Cn*UAFHL=EOHf8Ahi<7HPA2mW#W_
z4Pk)nWuh9f3H2XbKf^4zL=(|>tnuG&2><Twkn$5{N3N8xGv4FNv`*3F+e;M&Fu>%z
z_3A7uvJ!t<M92Qn%)mcuLfimG$3nIVt+QYl|IEH}&Q;pw0X0kOEBe5h@t)zCISW!R
zl7_B3uhX2SOL$k;^q?{4+h)Iq%xLESEoW$u4lNUJmhqp|17(3%>n=9T_$s0}V23IL
z`aX8$PMFsP9rLCK>|D&)Tr)=9evuJJJuhtb4AljVH#TpaSD28x`EIH30u$aoGHzG0
zq5~4A`Iv$^m~p?LKd0v@7QCLi|EYhB4s?o-`i)vJqvMvxPPzhYxNC3Ll@>l7IK0>t
zoSDOnyMB2em~3UoN3CLi+V5;|KG3%`3$x(Wq}H#Ln;baD(G^>2stxY;y*_KzEErm4
zzcil6g?9XAg2|t$K(V*jsUFUX+(wD_bqje=(pt!^Y9m)y58ZW%b74c*&R4D48+{V`
zi+p6C92F9tSn#ACV8^QCnYn+ZN!X*-@BO)x0%@J~ucYEOAwyY(n3Xp_I(=FgNROq!
z4Y_?*7Tp|}d+%u4&}#uaw2DJ)1O*PCx*fN33m1lD)wtDK38DIg*z>1!6gU>uedqlE
zH}1Zgk($*jj5`>1jTEP8!OZ3a9=qMVxS}8};&4qAyUh80WR0|-v|m^gxAEZvnX|*^
zy~J@OwW9L&j3&&Q)VyokOG1s3A9&M65>E-aZBuX1gcHMBp5bRU{4nFl`IbOwEPb_1
zW-ZVJle-f^ZBGR-B~jw(haMT!IoRg>?v^H`Oo|25_=WIjYEOm%qbvr0^A8BE(}Z2$
z&iHG^31jcUyDDWHT**F=&2PG(2}Xs9>@WC5@sQ2OV2@OJWbocJNZYLi$(l1;dY_45
z)u8X*o*4yP9W)3X`J@Hk*{32;L`!V=;nniS{Ysc3K4g7tGX*5u<f(rTN#TdOM|DFR
zd6u?G+04C$0?wItCdnEy7<aa0a==CvJ!3BMoVK7sAQ2RJOOK3aeONDYJy*jr@vtk8
z#;Fi6z*XpDBZ~@*Vf}Vg4fJhb8-4Xq8}1g=UUm1{=+{oId#lNsC<+m7D=9j#^797e
zL5w_Z5y>A~d9Q`IgY{+a4P7`$vZXz`tANWt3hui_P*B_Bz5r+4#=i)^ILF(fhz~Uq
zl^kX$=$@e|v9O{KQdLC!<vt}$jC;>(xrK^>R>nPN_85Z1A9f?9QDvk$Kj5nlqhfib
zkk#-@BRCu<u3`U01xbyURvS-IQ6rO@p1RcpXu69}nW|OsaJZvI=5{KYeYDLoerF0q
zb<MoaaW%BunUqEyr(k-abw0b3IoNBlatr-Y!;=)Kdg?&IqseUB<=+tSKL7v#|Njh^
zhd<VR6oze?nc0uMd4|VczvDrPP%;~@naq@AuaH8vik1>dg-BNA_eIERkU~jRNGY3)
zy#9pqIp^H>buDP>Y~FTOLu-?oH~Bb8$ft7;>0Tbdd_K5uC8#0#&Xm2rBI*dLFZz#D
zOyF#0c--$ZYAE?RnxFfif|Bw_dlKqRVES&Pg%DW{{r90}F5-|9N_<ilGayF;DeKk}
zYPBi~Tq|yTTq}<{nuJkg2o3IijO63qQbB9vVOlVwEL!2M)=RrfgB0qawS!_R=<1rP
z)qtZE(zB+}<vgW9xV0D^jY}Dw?7Q#lkRpcU=$`esKB0l4r&EsBCq)#zr})<C#$Cwg
z+rxzB%QVp7{=7-aQa}lh|F$W)@S)9j%v*|{G$>x;mN`z5N2<TP>g#@RB4t~}!?pw(
zw0OD3w{^%Oh30kPOl1}{Lubh~*KGn0|0K?r9+E+QX>IYg!E|W8d28-`kO}lj4z}dZ
zN})pAwDjrV75sY6)n`haCJ<S6ca%hsM1LPRJ-S`}2hR<#zZF;vuo_bk5OPKwwGd2$
zOZ&d!P7l*+Pw4~n*GiSF&WNDowfy}jn+EXqD|OzLg&6!^3~2jsQ3&O5ERDWzYQ~3u
zEf6ZZjbZ<}f}BtXK?I(X6YInv-0v$3Q{kEs{1RRbY1+$=Qgo!I?BX6{?iTUn2kJ&3
z{Qft7*pC-Mj%iKT#b=mAmAZY_F+)hM-s!y*xD$ODZ8RT^e1<81i8x+gWB~PgUz6yL
za-xl#szfVzf|X@19kctc4>{frpCfLvq0bo$^}I~CvGVep{KwSwq0r0cC56a}K0Rue
zrt7_hud~{ljYR5!NAPa{U{+>Cj4~p;_k4!8J}Nqx->VDAnM1@#o)Mi)>rR%n>BOhJ
zlv4cVb>V!*u7aopdgN!c?@h?nKAhPzSxh-W2Tm5>d!ZmohjR8AG~anQh*#B91Mhs*
zhU=2??>b&>;`_A>i~?X3e<^LjSh-gl{9f;RquITVD?2!`s!xsM(L~p4vNc-J(`r(|
zEWL&&kRO^qGM>QyI46~VlF<UcrU817m#er1AFIR1q96F1rmmcZOPZh=5_z23xPtHg
z>E$seID@y?tcKs<)P(3gmwQxZm+=%w>e*=PS^T<#E*5m23Xv+UKatlm-pfqitR*&&
z5B$7jBf>%jlV7^_RQ_e0Jw>a1ZFvE2unCDwxu5|lGF^gkD@%CNuxEtqw<Wx$;^pik
zZVkAC!?FwaGR|S0+Y&ahf^WoZ87JjaAk3d}QpI5z_j@>;Cd;sf-!OP}VqKmB37r|1
z3|-5(>S$wZrNIW?F?`&JuZ|3EVk2QW{wuim09Lno<sTj+=Nk0ViVT9)*L#)pR&o7S
z#?NvYbV$eQ(s{F&BybV5$}H9Ri`T^arwdNfqmArpemgo6yqhCb$2+g#HuSgIdtDe&
zW*%zzfDvKKYj;J}gLOPHEMYS82NT+>{X>ZUygGbgNOD2yo4B%1P~Eu#7W8zj$eZoG
z8W2UFHrIdohd+z&>B$J(foAvX5{%W=fS}pFa><hp6^Kvvp7CWzIi|Bx4C$)ynle-)
z6ikmsu^&$lXLF+Us)E?JODdpqMDSL{4F-gNx%sE~2R9nLxjAL-qXI{0DN24*jA-6_
zsV@2{4{CH$S`hoL49~s>k*?b_BO~s_Kxs)nwB#VCqZg<QH)>7m2EVZ&(b+Gj4i@pF
zcj{cRkLi`6Zh&=U@!Ae#=t;|H+9QarivGtmbVmtFPdSz{#jqoLEgoG-J|X0sUj19o
zK?zcw34%^(oT$p{kc2jq2$IvCT&WgPf@Np+he2K3NXfNZw^m9FslcLj#Ec@mvdG-~
z?<NllQXL;u^^-tn^!J@s98!epMk3R<MPBqpTK4hqxFm`-(&_3NQG`Ng;-|Mh{3x~l
zv!}&wY2-0`N@?z&BFq$0h3;+$pic$IUuxCJAcjz`fG3~?>rW;nrK@)#`4P+GyA9;f
zK%-t<XQ>kWus_V$lPZk3^mNre56hz-`T4jgJ!JrER<94|MN!t1JEtPE6_F*y;C=PF
zGT7*ErOlOzBb!Rcu)rhA=zIz9&o7HA@OHmQ5Z@dD6%r0tX6mS-Vygq2qpE6vd`1EZ
z6;kNL{ks`I#MM!pNP>SusXFX)I~IO*Q5wmf<q0~>L_$U;#ti#{Nbu3D_2Di{S=8n*
znRxdU8NE70h&lFx3}w%=BI+K<p-=yL$Lcv!(Crr*EEhH?5E{bV5HF~JQkD;!jw)&(
z9wKjvt2-6m+R2xY5){$F|17yIMl?{&*0sFb^P13LZFougrxG$r&6SZ0pd!W<naH7X
zZAd%R8ol2_1&wBs14=uosPo#-^W*8dK*;tL3CdDMcZz>U*!-j-{_&CExKw?xw;A11
zZ%{*8#)*PoI;hA|t}B6@ZwPfnUcbsZbrjS@J$%`jiaHYe1%2)rL-4?5TjjGv6!kTF
zXwOv*^f6PLQOp6r)vdwwAqNS4{ASN^D1(AF_8+gUGvDq_lJT*18xk5yu}?HHAfrlF
ztpy1Q8oba_6?HKup##qwx0;>RQRiE47vFvw1a$CRQu;+i#)P+tKI6*hT9EwRbPrR|
z#+`5PF(V=qAZI++Q9#1uA8yRHn?fz`PmP^+>WHUpO1CanW_zEx=9OEfu*Pd@^jBOB
zh5PL@$*7e;4ZcfmiQH!JAD{ZnT7?RlOVmv~Gq?*SN>V-SS4^Q`$f&o1Um4AE9Qn2{
zhX<|X^Co8DrqDIdlo8~lh?2xA?Ic-PP>+Ak(cnN+Xq7qr{A{v3`muFnL1AhY4{d6)
zvu8C0uFlCSkB748a&Eiw^Numx_SDK{rCb_tJUSe2(JzfGOYC-#Gv8o|stxUuyJ)aP
zZ^JmiD22Kx3d%O0e_>IU<F(OwCh&UXj>}AnIFdY`7kR^W8H*jxWKZWc0j|P^@Q*qo
zh=qUl=b*#}Ht^~Z^=T$Rn3RL*d*NN^{=F-anj&;?#zEm@1rI=r;Z?R+3O~A$6nfj|
zBt1CPGT#5Lf<Yox&Ql_Z2Muth`r7C-fJW6r7A+%V_%aqrAjxo|pcV14%_|IWv`9&*
z-Ps5tKYO?pRj?vXJp$j;5(Xf&3vAwqF$BXe6H*dojEK41p+qT)0VMYO%!fWOfatko
z>r@UpBtEmbvqF^tUVWPE{W7)<1P>!faX0?r(+qQY%kA{w<gQO~lF|pUdgYqIfdzau
zdB1O%3q9B-V%7V-^*}%{NWRT=2G66P5S{-;2R5T2E*6h<;c?L;$4u>Sc=$w@%*+Kk
zNOLF<Y-P~}!=*X_2B|@OTGky&Qt4pNPX%u~Hy!B8*;pFTY{h*%f<teOZeg+97Sv0)
zHh5{Z?f*P~9}9`;c(ONX3zMCDa6v~-8#a-F?gqmvjI-b}-&^M`tUE8}@m#tVe51|W
z^GX=P&fJcCalvg1Q(m|xdVWI_{thY_+g}*NQuP;wMsI9k(G$1W+JZEJokucI;MaHT
z?u#>(j%;*bIT?_Bc9IIXqbT79-844c9dN+VjSi&5XS1(*Qel4dN6P8J87%+#Jn7&&
zIyk8>va<M9142WK2(~S=m^Xb==|OLLXk_Y9i}uj~yIn$=$5ZDq)0K<#TtW;`wcy(&
zJx2j|j)sa3t3^yWUhKr_Ne1|o`!{4Hh5~Uux9GIFmNDJk*Q_24GQttAy5)!56nK!Y
z!^%6bf>C4TXnenzfZoX?E$<E)&M{~7dX@dfjALJ2+bzoiS`Y5I7aEd5hT2iQmAQ^3
z#FLfO<5}UfPwidwm;_l2;gjbwHnE-jQlFQY*x=89W|iNUiSYBQ)~%%bTbNwHhMi;$
zJN&u%?)WN=2qNljk<E+S`*RGWkI3Q#kpmT9UGmkzEu52(qQn5>xl}#58{9Bhy>5DL
zMGZWMH%w2QW`yqz$+ev)c%bX>uPJ_aHOMOb*y=pU1aU{xYFh8}!X24BkCp*dDEsiB
z!r~AM6cn_6OJd@OkkJV3P)AkB$f`JZXoD4&778XPu>vqjSWh?mrUF}jb#tA~Y;fkL
zjp`23U9gMU=yOE83V4+r&z~>nfa2oe?t{ZZ;Qop!w@6I|4$}lL+PvU`gzy8Hd$S1K
z9e+@tH?0g0?>-yQW#WP8s-rEwZ^b}Qe<3aMnKC?xw@RbKcwtSVX={5#$Vxl)WTaRb
z=Figl?eh3Qb)TxNyuK8iGCkW?eODRk<vlnym<2$$(XO29oHPU^yv4lQltG}gsHFOm
zAQ-RwaMzoZfn>Hl@}HPg;MktQKqhk`n0T_k*56GI?2^WOQ+-unrrU4YNKgb+KUcng
z`bQqx6aop}t18fQ%(lgnRSZ^{a!p)w6+v#+&T^tw75blZ5HiFhz@%nJn!klIh|=J~
z@B3;X^roL&eLxaM`bkMy?5bdLRyFzlusUdARTet$q`>~po%g-{YH;1@M5En45)eWX
z=8L#xV5Eo_DPJeTE=v`u=>#&k?rJ_laFm4_^Cv6~YGf$98>Fn7OaVi)rHb}aInWiv
zEmOD1(DagFuBS=^?tb9QtlW}^e>Zj=<-sYCn6SKAz@iEI8zX9M&Wf-rFx9`+Ljwvw
zehwH&)B>k2F21J^mEc@SZ;8X0#`gUkXl_-|fhT?n|Lt5<1}8}a4-$n6rPGC4M$@{$
zZMTu3qM!;7(|0RM@1???do6UX?fMY=N^`bIPYu4G4OTLjroz6ftd3_M8G`Mxxx1xu
z>d@|<9kcOR12(@si`Kbj49@FyZP_F0AZv7P?fX9ph~8}Ie{8Uw&)x?1Ifscr?pjK_
z%}4=K!x~+Hs0pZ^q>2VyAwp*^XOVjr3GBi)dPc`gfEHR1B7Knvm&107-Y!>za*n)N
z;WQe^zp_}1(jkJofM-HX<Tl?}ExJADF@>Sc=sCx$>L5Wn@R>nK0hESTi!*~vA+P#*
z(am}__+=GWfQn_Hm@YJ`?5-)ON$ZC*7N|l>ccQ4{c>;8&e_T6WX9}h4M43P{6;ONM
zyYDMO7?}9i9`lx%LW#yKr&*g42yoZCI~wr8^y48b>kw1uBys$Cpr8l=k~(7yi)_%P
zGZT7F#T1%-dn;a^mWLLb9#PQ&I`}awm*CJ#0~t)FU8+tNTn+a}+R^4Qp6;U~ydE?V
zl?h@~T9by0xz1~;?(ea6CrkFw8520ZRDXBLObT`xGUU37_u<+SE&Ac7O&}seVcgVE
z0vN4)&xbTm;l<`nwT3GIUylEZN)Z%=f}4G|VJ7o<tHDlVsVIO^%OR?egb*yo3>fx@
zE#rzu0zKZ)0R(6+lr%XBz>(*f4YIa>@qsJ8iSPI@_>L#3%f93V?;boNmvbFw=<C(f
zR5gac;h%<@pSfYjx*RcWW*v{~+g*Lq$_N5A0*><JvqMkynFLA24O~xE;lPX2hQRnd
z!sSFG3)t_LIYOFP$4$L>u89^K0O3!@D;hAuUU$pU-?r=cNHOL>{G<=lcMe_il%?Cw
zAr{~Agf*OhW5=mNF@4Z%ugd@0u!h0or5!bw|KcX6cG4I;^q_6*cg)f5B@7B56BG(p
z@#ueEaX%__VQ@EZU`)UqmaQgU^8Wq`zBIJ&_%C{0i0`hw7%1@*`(w@imA!2lZ)=a0
zy?;mtv~%~L_`2sCrmQ$%t+>2|8>?E|cGqh|&NQ3odgLc8U+U~%bF(EJH^=ufh-*Ut
zch<)*oo_KK-czA<j~8(Vx6N1VNm_7SUOcVzD#FAMI=l|rvxr}-lO>hSY69KfJM>Q^
zJ#q8Ov}f-0i+IDVz>zX{P3SWtXGeW)!e3vg#k$59@Nv7P`H}Zj;HV{wni6{PR+XsN
zCw?v9FCFBZB==K+Hk4)K+VyU`xg|y45EgN+3&GQty&B;0(aiYwg<*W{(r&$jk&C#s
z@r&a$8x0tJThHM$F^YfY6QJ|lTEzR$9CZKLM*$V5Qn9s|aeOn~?PF@i5<V%OJw`lC
zfkTxwT9&ilaLzwNX%{an<D9gIYJVrlQ29|PvEF_X=MDe*?o`GK{-U7ZmR=|sY>pM^
z^F8^2e;K{Vd#!mDpS#dgHNJxkr3Q>f38KI7AWP1uZrL?FD`S!6oe>Gb%sw2eN&k({
zdR2B(>(+6LL6Ua%Ng})s-&qrtHj5vkylsez-NeQ7&$up^se=*Qn=8c8IlSg*)L2*a
z7XIt9IFWf;4T4U#PW>`pz@1z~^QMOBQ08;Dl9yyPn4E9Qe$={%SAP(^IJt`fS*rd?
zbc|JnTP@3}XOAr7Dy+qPuR|D-$MsKZZ~9bV`W;tTqQELnW>G$KWQ7SaK0DUtLsWtE
z`72KuX8+=QGA(c3zRiLjG>%reW-CK^>=V(m3+uSSla#3)VLOo3!}FCK8%mIWPq(XC
z_8)%VKRn(!iXE+5dxj66P=XQvuBd4m9pW+HqI*)!iG~#T<{hRLVg34)Wp*Y#(v?$v
zQzX3;QSF7jl!FwZM`FK3;~E31{}9`iFu{X7tuB-({!@UW(5(-#=b2FDi@8(WNBIyZ
zYn-=Tz5+~HDSf2qv7o|t+L6X9{OGmUr^az(1$Y%xOmO4hfu5|>P1Ds2qQt>2wu1}u
z;MbI$`c{M;*~VI=94!(;q(J>RzdCu?dq-p}c|Rwb3^2Lx-5`Qi=H75yrprS_dA3u{
zQ*PAu<_}GlP8{uiXT22}CJ(1+Pd<ID<UytEIkqPw2q^2$bkDzVd1&{1W0NGshrAk}
zC;ZHnLLrhO^RAcVA))StKTkD3YC9Ev=01xIYRgRMXn7+KmaK%6<=%qmDVi`zxg?8t
zq<+gTkrcpBJfg)Ngpj~RJShR>QKyq$X=J?u4ClZ2JOd)AMkeX&Qx-*JKTo-tb5aqK
zrTL5Q_==&2Ult9FCX`Uhw&YS>mEb^D7ic_{KpFn~W(q#4AgSk>eG6&Iz;)tEZMCQr
z8rd(CoIa+8@`dx5zx-1Hd$$UIe}8Edb;M^TbC!r))FDO*sey!Lg7)55GKj79>|M<`
zGNL)(FDd&#gg8f|sShBB=2}`tf5cMImI~J!!d)_mE)H0o#^uqLFKJ3LNCWBJR(|8l
zs{zwKCKvh56;Yb4lFBc0Dq;yqth-x5g>Sq04$5{bAyqvShQ$>s5+PXa%#YRrg9^*%
zzI#>BDUDF&@o-J_L}fETHcSUNVzk@@YE{vz8WnG~XPW4u$#3i0%X-i!ND}+atd64H
z4ZYNAH4*DpQ{dOv24Jl{BhjlyMDJzO<fD&jqLCM#jh_6*kfqvXZAc)YsHn<4CmvE!
zhIYO90Y!igxrh%guSlppA<EXHNCQnMbI+dEHi1aXv37qEGU^B`pT28GK~ZgEk?CqQ
z=%*x{{3lIDWNT7~sSydqD!zR_vqb~%g-Vr#O%mF}oOM(=K^0LBPWZpMXA1e3==vpG
zN$6i&*Abqxiby%HFH&2^3>15Elu84LXfrC9XzneG2tJM}NBqoS@3p*>?ds|XYoapm
zZ6Kg6w;{{A1T%PKZY2-psz`E{;JC#ngk<)ZpNt7I11Ed#$LlM~s7)Jw#`16b>`2e(
z7i}~6B7C0oM@$J_8?r01Yhgr#Z0L@{7gP8{Z4wh!R6rj&(qib1=JAbUTj&lpg__;O
zv_b_r1ph4yUeUaTH}Cy5)xSi8<y_<A`U)~gm%Ed#>fukUrvIz!;UF4ZkB!>jNs>aw
z45u@Ah5lmpPqBQLZzd3``oZ7xvN&q>4`B=1F5cEp-CWn4O~B1Ip7wG>7~OC|Exf-O
z;Y!K*s=-$P(U*QLGhP!!A#$Y~n!+sL?=IRsW&zNC%ZO7gln?E9R_`^5V}+c6g~0qw
z3??XHb@tmi(s^zD*iD-qkm?)cwmaV#$W5~C@dIqgvi-o;%7YzXYZ#Uw_0R|eIu_@d
zSeQ{@*1>E_-41Y~L&AT%3}Kp6`g3YI9pVtljjm7K0gx77V83Vp$)f3FvnhXZA;X?n
z9>X1gzh-aBP&9xxhmByt3-h=%fqgyn6YDnL_wz1#>Vt=|>5|3yDZIM3#w;a*6%J6;
zGyCr8f!&AdZ-w`Uarasi(Qye@7$xnzmAIq}oD<cXM{^o+k`)E+y=8&41xnbdy}ID&
z&JleltsS$dKtmkYSRg@?W+hUr108H;BH~9rVtcONvaXJ00g?QB*EpDUfRE7mTzvK$
zc1tq7o;RKal>ZhT{OPX^#q7<)To-;~yeGsHpWkKy&)5C`1q^C|aoWvtx6WD2FY(#e
zlJ6|=XYVMFouw9#f8F{Jduah1lQ_b^&zco{hbnFaHfw@fN8%-<xs2Ib`+xd1#0tE=
zBkk9XG@(jlg_u>nin%Sk-zvJe1L(xr`(8FtL1=TLFjQn6<E1t>CU~>Ko<NPa-_5A-
zlBsW<a(WZ9wOT$`>BA26r`ECg*BWrBFw3d;<rda6d~r1(j{{`(7A`HjYQSD8z8gn)
z>EWotYO?B2PSEeA^J872fcZ<9IAz8F*M&15W}o1Ocf{a*v`h*-9se!hbCwaV8ub1F
zo^4Ou7wX?fq`=3;0>$^;Odzu?+>$}h3-+w-Gk^NY;67%0Lqm}T$`f}5dvNkWpzGks
zSS%TsqF(uYy37iso09bG8vJnoUk@7{nGBxJ0XZ@RHVE`FUYa>A0IelDr~O`&;O*w7
zr6pnqH=RF=Y5jr_c4R%A(V7GSJa?3H<2gZ-dFAH`J0Y<CdNO}whzR9#{04d+-0-?P
zOHFQG7<72Aooxyug6K6(eSJ+Hh;&#RR;v+(ck)+wW)+FBM*R_|Z^a7-dCa<|3&dgR
zM`?b{FLj7k{rIUoj1M~b0=v!^6QG3m2;AyWhbzKPJA|I{Lsmz*jK7~0w34IOzdcol
z0Ut}1@m+$@q8-1QcS#y-HW<P+denjM+V^tji@V^#NOyT|zYLtnonY@>R|hgYl+6|w
z2KJz$8!u$#;J(|YwUZ4I22R|{JoHio2rX*IW|HKg#Op;>ZwC>^&P655WQhT9s&xVX
zk^+3YJ=GBzKmxw=Qw0O3B_L#apwRY|5}4i)d~s5W3}gfT{)S*laHu@3b$v-0csS&V
zy~SiOo%4EfyG;r_$MMLLXjPcKWBokSoB|7y`nJI%(!djzBz=8L4MJJdueLC0fKONz
zHuFygm=jS5e<%_D)qZ=&^-TlJH5gZ-73JXc;RjX=10?7OR7s5fMuo%Wco#Y-4-HjU
zGG3%?`{wjXdmR=nNFRFL9u=nmlN?np<2)2t3W;Rawa^A*@1lhC5=A)p<F1io1O;-4
zvc?;wI#3_C(DoNsf*)mMI<{vNIH|4DXCkc!+>*w9j4!vjNxFK<belVWuJK<UD%Xd4
zujD=MwJNZ~XE*Grr9ghR%0QvHAtb*sy_lS+3X5_>J%2nYAa^Ud=-y`|P|^>!;!sk9
zH=QALPD5n4!hS2QED(cxPH4CE4K)Z4V0m{?hz!n#go6F20m?NyB=|?vz*r()DZ!Ko
zAEf8w1_>sx#@syq?5i65Im&Z;;-4z8>AdCNQDXvEe>dIyU7-ddT@QN7PAdba-l4~l
zL>g$ZzR<XDtOk#R?3G-%`GY>&PeOUyLv?8M2^yDF!Laj>Y4~?pIL{w!d+Q|)4)pGR
zKD9lU|AXM0di>JxHW+-^CTSpM@yK_hOc`D(;Ntfy#o=sOOFrWi4gM{#o%(x52_inU
z84RZh!PVlo?JnD9beM&|%v4qpngoVN4u0SR+>f3A&J7wgOeYIxHOj;F;&AHiy<D*I
zNvH3#3k^mqm?Zto<lyN+brF1>8D`3x#6?+Yz;ejv!mF1uu=wa~lylY=mV38spHi6#
zgylVI9<z}KEq;MUWVwXpd0M#zo0<T_Qp0RwgCwK`4q0b0Ok)+5z9pXq0St6ih~IyU
zgH-Q}vmzYB*mPe2C+-grr5+*OU@i(%Y>F4I$2VZq$E@b>*D>(xd_sHHDg+5GMnk=k
zIKJQVit!m~4AcuR6m$j%f*(hh?5*^-_+g$nS2Igv5TGb3ikkAn@tL|+>xd6Hm;U3}
z)G#9;NY7+n*ux8(&vaPFT!wM|CbAyyeM7MEE~_tH;D+ioy}gBRhVcU;=Q7R54WP-&
z!Ru)i2i$2re<Az$5dKPP^0S@Pwr`3yq`YX`0hr@Clao2`@tsL;)pfn}q2saZg#)TA
zkY%0N;PR*sKit;6f3RE+20kw(JC87e?lVUJaj_oUk$<6rc~cjDAJ}{n`JNtjhu^HX
zc-@R={g)S)dO#NxHm6MVdFdcvqW6Zq>jPXTwaA9}KnJ9G&&*r!Y+_A&Vu~jPiZB*9
z7S+I}1LDt4rhWBa!-PNGu8G=(Frw{uvy}jCP$>8&qp!M(-PfLaG1u6Q@n!BDtbL~i
zQacW*O_?oYLz@2v&R6zhVa(Qb-LU<q0pxMhM~m31fS0*Q%n%ltdjBa`l_sodvpe}6
zTfqJY0096043~E})qfPn&1>(Gy<Pjd*UtJL*GeVIk3y7CD%rA<l29bFN?DPLgvcoQ
zek2Kz6eSXhD0`3a^Z)00&hvTB`<(N7{Vo{J0*fCQU&x1nBl23%tECcU<}#0ERJTv=
zjT^zzZEg)FW^2M<=HZ#xlsW9`RhCW6XB1m&v0Y6R)`T{P_}0>YvzYWF|C5J~j$`Ef
z+tJt^4S-+YwwCV9Vm@i4#(IapSgPBFXE($&;L*I}{C}RaSoE`jM<MRhSV4KhN%sN@
zXuhc@`#R5JcBiIUlHSZ>N&SbJ%G4;ZoYMCzDQp&79Y~!%b!r~VTDQI6_L2;`M}J0U
zy_&^J3kQP4B^EK<#X;L=KN%|3?0>Qm=dj`|hUUh}B}}Ng{8mPzIw<#4hmBXvVH`0B
zf**ZZ!G<=%?SIaaVBdP1!i(ec*!$INtJ6Q%FlM7$qc4agaO3|QaZO_Z^Rw({ALIXr
zxrI+9h`FnQUCMoiK7~cBcE(=*kpC98D@gGXSCJ}sc36+*n=E0iOg$~)Q8eIZR5epL
zqXNhA>7s*|m$A<!S3=u{Xo2z1<E0f$1swK`8nuqEV84^A^oEYp!$aExOq5JzxTzzc
z;}X7xH8?%H(m}@vS<Q^zaZ5@Ndo^~ZS8oGzplXbpwh>@A$zR0GSqYZ&|GYo1u!+$p
z4@MZhWQO0x6)SJvDMHmeuDoKkjnQVhHq(A%h5pNj>Mj{8g7dDe1<P(4=*~L&Oi6_U
zlFYWRvb|D(?7kq;O>sK7|5A<pekB(y-g+G*X08A(bPmcduG7Q7v)nKChCD!aujWYm
zLWJD6Lx)a?GD3rkp2Z~23#=i=b60|i5PP_>S^N_LG!~BtMxWw`!wVYix>7`_D|`^=
z_?#J@T3%q3)e!{0_r6tFpFHSJ@4naE%nCMH*E^<2LcnX!E`H&@JospYG}$t9z)TTq
zHod(F>^h=krE*ao2K!syOI_vy)?4>1{7S^2V&awcs*gNmXC0F;72yHNGnF(f+LCZz
zC1F2Xs63G8FZKqd^1@Q~uN#u<QqX-*_>@StJbaN02tGpM2k)>yAN_-6Kx11rBz#03
zR(b`i*{1~HFyT3Ml3fmd=NU1Otcl=u-ZU@z<1V;-?#pL;Bo6|adn9K^h|rKGd*AuH
zFg$yF;6!4Q0to2kywELHfRR(3Nw0XsfM~}2UN=|?L@BBbq+&(b`uVk6#8(1%jWZAV
z`l$dOXBw07M+u1XmtLO_mja=?cO~q?)nNQa-kX#_75J>1>h`Ql8s5z?O5|Qw2R<je
z>wB%$fTZP_7p*4?@m-WCsdh4)+B{}(CQ2Phx?3_*WpWT`p?L373k9$lVP7?73XpDC
zj9wuVA&+ovcS(f?@R8005TiAq^Kzq)c8vmrnwO13lqM7$am}G4X#t<?>(lavO5pSU
zP*;MS7UZt)d-$3~2dH0O2Ip2Q!=r-46Kv^Pz>$=;dW2gKtau)G9}`oBpp=yMLvOUe
z_E)&8$Zmbe_u_Ntb5jHUBv~K5hgxvOVt+tjh#>?*XKhtD3DhH`O+Z@<_S&VYbG|f&
z1izM#*PYaXdwt~_&lydie4D5>4+SVY&HMYqk~)l?JCRXkp#iDdc4<DBO~AT|#noGy
z48rE??bL2Ei~@U1nhzBed?yHJ#mV3h$fi}ONrE?C&!a<iOd&hM+BW-}I)n*Wj!w8L
z!#CS89<FXv$cb057nW5A&hpvDVOt`YXA0Yy7@0vNXM4pyVG=Bl)Tb|L%fN*(DIJp#
zGgweRyD-qK3X8IiwU2zo;D(^~*%Q%bP=0W{*hWhQl%F+`Ef)Aeq@j}-?`{TL#zVpD
z{z@?9RFh-izz*ANRzw?VGtlJrHdshh*vXlJTazyhbk<j1lxs4D53=_6cv9sdW_aqn
zxzPkRU;U0f$kr4XL!)(NQ)EFE=pq9AyYSoWtgNhERB+gO=;wM%8dfQe9%o|b@Bo$e
zv<gcq<Z#{jqyUn@;7d@HT-d<N_qrFb)ti7L>$sEZ6;U|teCd+jPg-Owx<59BYy$OG
zSN5c@?t<%H4`OSp7!b+BKc(^^K*P5WW=|gS!?&ZIBgA|H8nEfxV3Y-js=Z%dk;Vgg
zXXO$KzAz!)V43eD78tx}*~8Wt%>kuSI<{MvnNh9F0!`x~V;Bn|rT=hZ2K$*k*Y(~o
zqgH`Q`Hs^@uzk6?T;M4^{4pr6$*gBaLSr9`UnLlVn2r6BiODVOL!4?CXACo9beOkc
zsx^S;yJ|KUkE~!-R_gMfNzAAxS-X5|N*`9_+LbJC&SKuN)d@@;Ovpg_!{W56K3Ei8
z43F6Oh1u9Vwmf{62~8|0?Nbce4NZrL%Z8Spu|cL+J$Lw+P*t+I6LXUu09~I$YkVSR
z{POF&!yN>)-}A(cEg?N96?=W=R#+GAN-~u+%ON1?A6VXvU|pzEDA@F88^Z7GrrH!-
zCm<cqPvQH%>Of|vh^vLjZ`}R5tmXZ50-}mUhz)@b<cMZGE{>bRId58X<~9<Lqwp_b
zhB9q<Hn!)<Ld_gr60`EzgPREznupOx$!No^AU#s%`9*v`@0Nzk6($r@nLi<aR}1Kj
zE6;spTfy}i6*Ou^nNjsbk@z<uEnvNBXE7ALhCi+DNlE<1j6`J|u=u;0K(lhp|KI2a
z{+#dLr8&fc2tsB#3bLADGCgy#+IS29b0@o(w~G}W;PjZSE7O2NLJ;lpUK+GHQeOfr
z>_{v{+-0AM#?HKtU0DdDMI1IJ%j@Sj5T(nqfBp*v%#F<m2IX|<QCn`s+BPSem#81=
z4y1tTbB+s_=jai+#%lKVac<OR!Qw6=KmlTKzv+J_jA(7l_1#}b9+W58qeQ4DLwhPV
zDpNo}TkZ{KN#}Ucz+cCp5ij!2zG2U|6k$dmLlj%8@A4sIG_t@hMh3I1srNXGS&(D(
zblJifKPqu)-#uNT4iS!ry<Xb0p~DRv4JT~{5d$r6&Owqobl4}QCrWW3AGPh6yM4P*
z(L=6+SVV$Kmxzse4lYFfC7CK3Ba947HuP9LNU$ZyA!?G$jqYsbgt;CRMFa0&;prkI
z$a@$(O8=AxHIgb;s;J`Vn|GNLc}xwox{D<%hk22Zz`7C1Q4;;v+pMYDss@7&*#&K?
z{K(nuBiG9|DP&>ep{(&%4bEPaBs@tLK>hw@;XNDDDBCtt&0<Imbia9Pr*Q5<kt@^N
zX_zeX8ab%Zwo|tiW*5RA3ZW7jC{j$9Ljh9hha<yCa608jqR3GZq<k-EzvzZMqSITo
z4W?0tH*+*<)v99X4Y9LD$yWhY#HChqRjGsfseV5uVF`39-|!~?v?BT{bVbQ~hoi<X
zWYDv6OQD(gm>)iY%E+fmE~UJW3<u7>_MnlHMxjn4H9l)9=wWHN8AA*O;&Pq!XZ2-}
zj#J9?>rgeM`SkXFdut82Ajc_#TxC(o7UA>xaT3yCNO~Zys|mWl{JHPO%b~)&0~yN_
zWOP#P#DE-C3%;<*j(w|=N8gTkiA7bDk%377jh>G-+<0<VVttT^imv>7B%?(^ub+Ok
z8mQBOlLz?eQ)m^@Hsx^P=VS_UIiA7AAfpFUtSp$jpc0C+;$cs1rXcf<D2b2xyW!yS
ztMF(+WpwO^$Hbp@3VP~S;t`->0Dei#p4Zlu(R8%<a#{`rJs9q%S8X>0_Kpp)*%vBE
zwdSmYs6GXGtd|aFxEX_3wVQs3ttwgxbl>*RCZncRxhjc27<}+9(YRlwiimC*FFMlH
z(dU`<B9|usUt_^tdqfrOIk}~qo1li8osM4rV`~Cd8|Obh>QP15)a8TCBo)+Bktlla
zy9p?~$^RL3Lls3DyPEji+W8-d>4qJk!jcSgMJTH(vX6XLIoBbN3h&O}+sLCr7>Cr~
z>ozJ#thC6fe@zC7pN<{W{Y(Y(r)>?--IP)3UgpE2YEtNz-{Oa!aVkWUF69?kDj_Cu
zw0Uex1fdtsm%a~C!9$3+LT1^icbr*gbW;G`5)g{>z^RaT;rGqar$ltAEIA`KkO%1~
zetn`6Plam`(cxzzk6H>?AAS1HiV|&=XpJx`MAn{l)^3$WuO>u3HBHf@&$EWynd2sq
zbh~kO(pm=Td;fDMsr<vmUw(c!8D|1G?en%%y;3Og^B=bL<as>u;IGpcq)eb}u=RIm
zmjs&Cr0H;YJBs&a4p(nf0la9EWs&6(LsCSyOhVl!eCpC^gLF%Pl-{(_KS9E1)?lgg
zWl9e2b(y#|Qi*}|uUASyy9*6A47~mm-;CL<up}paGlsflhdkdpesn&qhm%j?6Q*p%
zHu#;v7=*Z+gY<KG(RVIk!fS@FnEv&)_kT5w;K50@ufmnw=w=I>7boX8EJkK{pPQE<
zd?WqnqnY49f#T6A-UEHu@l_q6wEG5-%RkAX_J$Q{=Uip8oBx9CcF}0f9npv6)?4a7
z7MRf8U<syx`p?+E&SZx$MSb{^QDo#7$cSV{l5eM^c45Tv`_-F)yCFNjU9;AR9@P!V
z)Lf2i!6e<RJ^#JYgLawm=Ka>RXg;ns&AYb_D~RhTHWt-`$n4nkle@QZ@VISUXp@Mk
zaeqFQcwQG?tfsefTK~g|kDNWL&Q;>E#;>@_dUZgH@==W3zJ_0Fa%s&v+KdO<+;<E#
z&;g>Y7Ten672Jxff0j1B3um11;VmxI24&XvBj!U(`1G*L<BH?Gc+`;hF-2Z&$gYa!
zEcaZ*9c-_t<Z2J#8}n7gEmyRF^9P?yw#EY9ZE%@|mth$9{gUtIxuyvcvTsWbVID7{
z`my>?|HS$I&GJS9G(okU`PjAiIlN*JO(%XI!&#Uu`ekP|z$0xW%#<*P>p4d%@%2vN
zr@DXN;`ZOUM}?fp6IHXgf=@|U!uLsh)x=aFb%_G3wdX&TCC}ou1#}@A>oa(>9l`E)
zBn3LPj@F;gn8k~)bHDbzGl#3^k>7E#P#`J9Gqtg47LVI-)C#v;z|$*2!~SNHAr&_|
zP%1cwf159gQ)XMjS8ZPsq?E}}{r(Nl_>DQ-JxQ9qa(o#-kvsRmYKOxo-IX&QE6(GZ
z4OuDizgF=v_Ux<U<s=X-+st?}Hjkg|_MAFNzk##&&BzN)sKM0RfHO+(7Vsl1TA_#c
zZsJDk`)~Cts6qUBjSn9?7I9mNuL^Yy+qm#XON{Y3RXAY{%N?src-5V>RXI&sbobWT
zw+?kGFi@=d_Ql>6yq`HQ`E~&v%KuaK-JD$oHk2Z)A2+Y!#V>`_7_}JCA>$|^gOkb-
z@M7+ur1v_mP<7+X>TgEWQ{+v1zC{T*zE1xXGWmxK*^&*-n|3(r!GfI?SqW0p?LV^a
z*}_8^9}2Uyv7n2OGp|bID}o8%#a{tb8l>d(E})!-9a&_$Z-t2{Lgmxo750m?$O+y|
zubt&YGMJMDO|}B8`d_lJ?xRClnG$~@;<=Hz-V!-NNda7s^w-QfFd*Xl0Jpex9`yV8
zm4FdM1U(_H($zIabo;l`!PO)_bYCNB{|OHwfXzS8l4d5<u<yBI>mC8*Vq-DoDL@3L
zHCeXQS1hR6TwIt#Wf#&7DLZn%M;?0bs67uKWkbHDythX5gi%LVFhTaAJS@FzP4hD0
zMEuu-&K?UEMT$jtS&k&iL;OicuC_DWXfq?HGw7!{8eHhkl8={%KnBujl}|iqLobH<
ziz<b_aI-vE-0{l)gyApiQ9jh}anBdZq|u=n^X#UNJKnnYykrWK08&*@*pAYbMfaEh
zL_oX06Z~})iO?aqQug+XAPRZ>G`hK84kakuDK01?f=)*ie@LegDyVxs<b9Wj?s!Jc
zh}!M=cnWbB>y!v;4&q&F4pKx@JXYhUv=qSse;9g5OB`Le@Ft+qLm4?Oq_V6WR08G^
z0Y%$FNtEE#pO}176_s3R(yXmi1}Ep0n0aw&^jAl4pFtoAW#6%k`sAhxE>*+o#usGJ
zs(Qe#EFdFWo3aRl9sVg*(Q*CsM;1v=y`kGMp&(keM0tW68EAa+3l5)@M@0dTuK&>1
zKtjUiHAfHyOh!*!68=L(0b-(**SwnOZK23buY;P<y^+)X(^nB)mYNdC?a)MDnBQHv
z!lw;;q{EU&W|Yw8;rXm1PFhIuiy+yIUKfh?|97+SxC-j@NO3#;L<{ZxP&zd$yc;sY
zKJZ%Bs3PXQHCHBTw9u*NcAhNO22l9S)vEWm8k&~p+CLDWg#<nuBef(W2s=c%Gd@Z}
z>{+FGg}s`{Tln#CTssEi&4W7r57ZI+&%u|T!x~79JMEU&D!@y__mcx0WOO#>@=b<J
z3X0(n^bcJ$0j0xhqMA}<q%OC=@**u6jd*3`((m{eOA#xmF_Dqiai_l4<EqGF;)dS4
zXj8~1i^Lp_QAbWqPPEfLis*w}y16LRj#pYOYS}&@A@kfEDUzccN`G)uGStZo=2GgJ
z>2~<(kx%7?nY~h|XyV4PJCSC<VpJv*PuRKpWmPcLBZP!MEVqaTnSn;k!#55t%BZ*d
zzX;889+bM@>q?8M8JwHH$3ecXh(iB;4sgsRpsw1PwI>UvaB+@ybJtFu)MphEbk$ez
zV*_M$vjkJ%-PK=sE?W*s8G9@HmUiP-trzb-<1vNXNn+=WvSpA3t@gENJ-;xah6TsH
zH>gk}w%*iTD1{n6<h;{5vW)c!sVth&@9@d9<BwRv#8Ig4UG~k;ZH$He#ryIQ69{{3
zfAeIIFghme!N?&(4|Ti@QPEQXnYXy*+D{3hQdQT(wV{l_x&QUimnQ+%tEF7GwfRt=
zkzz$T3lmJVZ~RAT#h`n%sgur>8|_8`iy>=FFwj3carJ{S^wm)MBqiAp=3A1v=EDq{
zBCncfhm7E3)uAX2Z2~$_Z}I$a0yDf3x#@gt(-0O~Dnx>sXwh_Ro`}jBW-wH;y?0X1
z5Ja9|Wp$0+z&qyxG#F%<;jee#+8KKTxRDf={r1QrF8Mv8k)@dlPCuD&uD_`dPp;VC
zB=-HqvkbjajvEsw^@QGg)V&*?HCT6yyAI(mjC<bF(ldc?v&l%T_->e%l4__7d57n5
z$#)J`5MZjtZtj(@9_;C%v&r$R#k#u|RJ(!*fR~i9w7k=WJ?ETFbd!5A(^N6VPFn&D
zSvB4wDeA(e*w3Z#iV@5s%<cOPD*}jZDTbxq(1G%y>cFJa6Ica4w$<fEfF8ey9}iZw
z!F=y4)!Z917;<bDe{`1s`yDE7$e-4Rw~Ox&``nwyUU4PueY{G5+XOw2p+POM(cfdF
zO<ltHeH!b;!kM5T)9_!pqZagTJHC9?w1T}wI&)Ie%#g@;Ffp=E6QXOoGGD5!W6#g_
ze`=X#2BLe3n69fP7;+9j<&F7=(L7KtSNp{R3NaE~eZMt;E?V%~bk7#1E|YAYK*t7l
zaS|I|=QZG$ld98H8Vx)&bcr?H#}1#|Vh5I4G{9OVD|V`h79NJKKApljfPAYkHTymV
z?zHJXZrq@QKOW-}M^A9Ug^-HpSAYT^m@^s(zyQ+GdLp)2+|cXURXXsK4C;|qI=X3$
z;6*u<d-Wa<bWobr|0I$@--HFL+91G);5lu<I$jugerRjcfDD6NaXlSj%%Hy|UG6!@
z2Pv?@xjLc_r}Iv@wDPb5%W!k_jD-O7u(g!eIje)KTH@ugw`_2{j`l0|QV<@VqI^95
zlLW`5%vev{<AAyT+XE9eLcqLBA&?qDg4OSF)br_FkS1c38BP!Zv#jCEGjb&OTb`iv
z<Qq3Aq?=tjH6#jmCTVvWj;KNUHO&6bHV?F7+P_u?#i8ei_@c#gHK4t!)WUAS2iY;s
z8>zHXAQSNO{iQrL7}$PcbTNq^;=d@Xza~n<ux{1+XGLnzw`?(Bxgh{Ldc)yct}+n1
z@-K?MT@6Nb3a@5H?}EsueyzQaWkHFDytv9ug7gr9R%dx(Amz9%Srg>pM6yQc`3oeV
zzK1rIUm}qH#X<6U01<GW-IJ9(>X2Y%oT`M2L3ToSW7MPq$RF=yRqauSN3MMSgU=;E
za_{xWe11xRgnakno@Chf<xfexyA-&NcPM18Dns~;(fRy;WWc%y=k|q4LsXoLUt^Ri
z?A3MXaIc^MgHK{jN~R3ha|()8ZmL0s*uU@JuWEo!QTcfSE(<=l>Lh-6sY3vH=J4?d
zO*qkC{VV0K9MsfudNDbZA&742Qot=O@Q`7fpb8Tqd5NvkVsgiC9kRM&+q7Y*Ig!oG
zQ~|6#pEa4fQD7X$1)fOjg3Hw&*6;3$kZCzs_W2nF%-V!jOw;s0NWC^KHb@DadwmDC
z`zXNe_(7;$OdtL$P0Zr=QHJBs^t2PYC}4jhxS_Gq0N6@wMc4PJz=v1nYI!M?9lkuz
z_r}Hu&M99%ShT4Em4jMk0U{Jg+wa3PIBE>$9^9fUF{&_;n@;UMLx$OS+G||e0G8CX
zS2bT%;VQ<x%*&<@o*V6lG{*sQx}`@X7FFR>Ea$n=Ayv?xpm!>c-SMv$rX_>Vs?a@`
znRn7l8TNoAQ!X17#-t4F%|caSQjy$kSfc=u5%Eq@fmC=gwnwmPSOv<iwY)AIl>_Zl
z*B_hKQz7Lv-$g@y75D|W%RJd-V3(H7-MCRI$mne-MGGiHxdEqA?o|mewb2y_oTb8?
zA|JVGQW1P=qmPN}3xk}$&93ktRItx%Z)d%)05@L`NOC*ygM!Xj7;QBbj?bB@85<K}
zzi`f({Xe)sipR%&Erbe|2PfV$w8_C~^<Pv01!f=|Rbz=%qCytr(?775g$?(bu7(6!
zI7OeqcBRt<_9spD=XFVgpMe!wgliRB`Iu>0c*X?6d$Q~<I!ZxX-+NQC(llm0xBPpJ
z#suQ)dj9;^FAfc5FDJ3F9~k4miUF=P0KMSqlVdWX@Z_c_Pmj?XET)KadQ2XmttB;B
zK3NE=WUqZM%CEs6jW_>C=Z8Vo?bBs96a>MUqsih7&qus&vSR9YhB1seJ>mWFmk-1Q
z<bTJKzv5c$f0b4njUZBJs=#fK2TJp|Eb0jZIP0}NDl+qi&_q?E*llrveZ%>W-p1eY
zyDW-9QwoL<dGq~tSr$9Ev;JlaJTrhh|B;r=bT@$bm*j!sBo+`G8{MiVe8VO8i&B*y
z=)>uruWwm<39vYqR`)!t7k_#p^he_4Zt&(;;QDoz0cKcfA14WR<6#qrq%(K#21R$N
z4?}zDVE(m<ahh=({%2U?1#hArTwdV46mgCQq%V7&%MinHVe1W(w?B2E{E7|cbZ-+2
z=rdSRF3QKFHll4qK^KbGj<QLASjW6%Cv*)5ORzJ9fQ7ky9az?O6j}3H#T?4$s6jrj
zvEuD_v^2~*aPv@zf!gt9?DN5TecGQL*z0<}(!c<17;fd>epRxF6))W@^C<j`sf`Wa
zmKoLpFLwOApXmZ7!}(Uy>%cc`L#nf6%uWkF(uW!JNX}zlkG<ghH1`8@etYUwcAF-s
zsgu&J^yjck&oup3T1T+i3@1G$b4@r)_w3MO;w&a;mu0P$Gm52oCgbOtG$3r_&Rv{$
z7JH_k{OwHmI2Lq^<HsR$4Y;a@rQ|2gU{h``dsRICVr2&pcD!z*Kx2%p)|T}QcEVZT
z^0C`A_W5}nR%}NB^Wcu@RF@g7mnd_zyM7i^JQr|q^#>VnG9fspb_OG7{QgqvIFH$c
zm|f2CC4)rnz3E1^S?pec13i^(5!>#G$CK&Ekj9YEHk?0;?TwhMdeF0k6|=q}CQ#Ht
zLP|epL3a*2I^c7X^lAmuuYLQ_dxzT(Tc&+^F*Aobtd*03->zW|)$e8+veiICAW$c$
zbspOmGrQ}uyn&^p4g9<OT^06y-dF#zc>&|m&JvV3w1sU)T^W5Ps|v$Wcl%dH7qR4w
zxt2oTo&Hz%O2+u9Kwoh8&j^)eOqy<lbLt~4MBSg_nQKx8k0?T(`|TBMGB;aE!j2w{
zIeAyrB$R=B*-40~zJ~33+!bEB%mBd~+~mM0C769rJXSitjwQyC9qkbTHU;Vbv5qT(
z;p?2ej$=Fg;1T&mq>33T&QrVpJE8~~N|tkUoZHx8{+}BMds!hwWW=tuO977j_x=b?
z4GlQt+e8<raDbA16Jh(H0*FSs8>KVS0r(Q@IO@27cT8%rY=8*eL(^+M!StYU=gs?h
z6COC5{=x?N6QOJT#nvSjMtJwAux;WUFQhX{9<bmgLPM6bFGDi{I0G(hcn0yq_hZYp
zskl7slY1-@TEYyY=wRq2OF?KqX?(*tLLP40i@(f4tng3Bl<TCq5U{DUSW+zIf$O7j
zO*k_L2wW{bXyGpcU)nB}R>|-9=5YsCi#RSYEpe1F=oEt=-*y5aEDr`8a>bQWJWwa?
zd5w5X5;mfL-2Slh{!>nDQ)xCY#QW58Q2C_6Tiw6%^Z|KTZLII=G~@@BY5tP}sWRX}
z<g}^Jl!u^<Bx8(55bDNDKSrv{!T$gN0RR6Kmv=nX{};#2Tr;xwc3sz9_P)o+D7)xe
zgb<|^6_Hg@A(2tZC@Z8S8lv%ei)59uDcK_{JEQpZ`}g%Yf4t7)^?E#>=UDD>)gRxX
z1lX*d{n}4q7;WloGniC_z_Z`OYIBvqLOWk4cT*IenYetEe}f0^PmQ<cPvL>CJByBJ
zNx<H_^VjN%382`$E?g6&463W_?~5~}U_v46Gk*yY>i6HOm3v13GqtKKi>WeD=DsUx
zyNU!~Y@RS5wI{;ha;u=ooGk2#`E0S(N&$z>t(iUz63A6-a;zSdhZMi8V261sh<N-u
zX>*nW-)HR;A9W~zjL}Vwyg3@k^5FK0vD1JDjur77Qi9^TpevKTYA{gd@T@mp4K8F8
zV?syqz)+v_KD0<3?A%p#NpuY;$4N3hI7xu%FScb4do_UP^Gk<ec`aBtJozQ_rwZt4
zkeZ5KX+W4pN>7Hm4v2m=-P3Nb3Wuk?B7285;P?V_vB6P2xK$!u8+@AtB13#JMej5~
zg>^vU(IW#0v>HAzS4sxrnr%+0sRqbv{to@UVg#YTwiNQ>DR7idpC9s9hsIIbE}?V)
zN8|h>=Xt4cAbAJ1%}5RU*;AU`@{B?6^yoyoIu+QYg@tV1QQ=((7?>oP04b*8jyI7C
zvz(=(CzeTYz%_PPxRWVtP2TkAo1uUTIqBzT4i)fhSvHcHGlex~qTCx53b09$JMT{`
z!hrV0u>YLQz=DNpHzP=fshC%oe4Q*9R>~cH5^n}aYJ>GtDpf&AsGXrQTpapw_x!tV
zngQ|0akm0-A~-w<EeqJ-hh%Ez!JYnQz^Nxa&}~NmUH1M$rQ;mX>72!7tYii)&+#Q!
zJn_&KiO;uE{!6bD?iJ#$GllJ*S(`^k6u~FIO8J@2Fg+zYl;e+$DXfO<3YR@359bE9
z^Nhp$u?so|OG8a2@LYE-iT{8s9AZj4VR~g5^Ef;G=MtDectcm4f2|aVvJocQo@`-9
zg^h$yJTr#8uWNGwOyVHQboD~6EHlcu(UiEYWDKP$H*+5Z3B$RkEeR`KtcXi7JM&I9
zK+65q)W7lqpud&KBL0XCy*kF#`BVhJO^xM_Hy<BZyL>r+@)Hi7rJi*GH98!8(A<|4
z$pur3&&$eu+0h`5?{Acm5eyVY9@03(2Ke3Ebx*U|QN^GKA~_qvD)CRuopL4+TKOe+
z>;^juA76hu6Jh{IG_Baa{P{ySBV;`bv|~p<E}f2+FVqLO<37C)0$1og9Q!#Q|HdJA
zK~{Fjem(Hfet*f<W0qbMGJbgU77lf+xh_ab>cQgYea~<29io$(cGN{`;m}UgzQ8j_
zbz#)0>23YrMtb04WE$TH8?qQL69|5x19gPrkl?*l*zHOFnqPTrNa|T@^c^l8c<W@q
za<;G=)4RyEloQ5=E}Ye_Jm{wl_ezT|N9K%R)~CJJECSh(FZa{LeV?^J@6?B#gXL4$
zR8h?A+Eq5BDsP=k*3p9ZLzj*%r_5vSj~9M1U~Fj9v)lebktV$I?LQTju!KF!Nz#=S
z$D!@zsrQ#8G@<0@RnkkxRcvp6_9-k2hc*^o)MVb)01pz^%<F|U%-7lB9oKGlbU<<X
zOShl~$S|Jltv$Di@hLnsRTShv>T(oKr3`gAlD5-RY5Xr1{3~)mnTHc`*dedW^6Fs2
zc-Z+3o&o9NSd(pOT!=Jn(!5x%24{Dkk85*fL=Mt@(o0d?DAw-qa_nw3NG~ktxOAHd
z%`@Ms&fnxgk{()XM}E+NefKS%svc$(ZqXdMYacJ_MaFxJ!fDWXRZdwG&x+<GZtr^y
ze5e!M{FWp`16%!X>DRC9K+X&1Y*QAyklowL%SW21fZZK0Q~%9|VuI&$dXDoW`<kE4
zXD(2ICSsVB7{!iGe7b1ZS0sR5N=)#OXjJ&L<&`ok%ZUtHmCBu%h0wU)mv@psDDbFm
zu>1B97ZM%3`}l2yFv?S{&pLdZ0zCUdZ+)!cL850HhOUT+qQ4RiGvTZhuycwX>-FSC
z6^n181UkjgVcO2?;?K!2{nOFcID`*Po=wmxdoF?0&Y6CbI8TP*B5t;Vyj^JHrR<>R
zD=DNs9P{vrJsFx()^ox}_z}z2u+^CW85CnzpKfPLhM2^tG=hO3@{CQ)*SsT(>f|be
zIvmKbjJ+M2DiuN-eiD1(iyYE5rCdA_MTP*0#&Zq2BIqj1?!^%?1r(-e=abb+hN@%{
zw&+1oL>@nIw?9Y`1!g=lGc~7xcxWTrg*<U2T<JAV9#BGc{9|!36BMY-ZWg@}C5f~y
z2JtTKQ$`Z?f0MttP{Az7Z}oSuG-BKuo}zvsAl_4B8#(<{Nbr{kNvoAX7jn+^Kei>J
zo1#^v8eueu-Ij@L?2<*R>fL%+gDRT;FQzL-OAUhD7;hLY$)VMd*PfbMWVBB5F_7X@
z2O~j7vExDtDB^dLiTMo*`ukUEX^Hb6UmQZYHw_dK&C}1t@dy<?OcvWGiPwaYJp0u)
zPbKtgH}!e{C>8Co>bP^`h!&W))sL@S#v_w9?$pFRG*slmeW>}BHn0@yoWFBN8C@&O
zevy8ihQ_Lkt;>~lLG1Rg6B-!=q;J0CS7I&=S-cUvVfIK5G?e4=Yok@rk-)YS3s-5#
zmwq+;iH-rB5Fs*eTNBY|r-Da~+B9S;vr6~<Xb3n_>CN|ZM8q4C>}Xs;MU?~Pxp%GU
zuo(SCFUnIDP3)QU)}EsvC#QK24>tgo8(tGn@>G#xzg_79KN)Gzcn|9BFb1N6C4TQC
zRg_3Pcr$aDh@yP9(u&fJp`Vdchj2j^t&fKe^PME1^|Rah-h3tyWFhXOwNn-0h6%W~
z4@#)^Jee=Z-vqwXemTURB%%OW9fB^K0=hFIAaVGS3H)}I+--DQ1xYBiZ``qvMORZ!
zm*AWK&94n!(@r6v^H%1!nsg+Q`O#`6i_a#I>OQkn?5m7uE(tHPDI(~nlb(@7r3q-B
zCT-uB!lU1RT&#1F_z}GzK%p?s1gOhbE?mYGQOIlA)T7-zXgi5!x68@|dS;kH(;XGi
zA$GFu_e?glHW0}bvTh8H&CT*919E6gGA6-0kP&^10>1cr#-Q+@Rm)3%S(L76YMhp{
zhS5!oNSXS^@DCVA>X~FvJ(F*Wx7|D@sxQe9-45WI|M5hjg(T7$G?x*N9>L1oveMIz
z0gRT=*OMNKp<B+JmF1l6*fiI>8MAddEbCKc#AqUD|4f(aKu0-7uys8uBu59k1CPaF
zSP&(oEQN^een~&2E9G*_#t5pS@`gMye)OeK&Gb&zN4i4P8x_$AL-^#>?ikm|hraTL
zUs{^_M0e?IunsRb0PK8)ZVm%4GKn^inzU-ACkt#h=}+r}@5B|7|3@ywZ(^5ntg(e2
zQEQ%@tfCKH3>8|(hS^b)e2tW+?MHe5e)@FWX+0Rd=zWdPmJN*#?r%Rq#OPP-{51Kh
zb%DL|d29(QE2=11Ipa83O!vEMlElKH3n{mONtA^dy<_-@cr0?U6`D?{rn?S2kcz@f
znlYkdPxi#cIbm4r!CQX<tF*xeH*URlaT|-3<ea{AqZu>3H9d7rL>mV8e>!hG`3JlB
zM5|1Hv>o#j-Y0Jnt_8tvX8AtPH?X#&mla(l`>^YiQ|*^WHNk74SJnCZ8a9#;U}B;%
zi2ay+$g|5q69oC5zN<L!8zb=kX6yAB!Q|q8EVR~W0C5<%HYl}<z1&>jsY)Bi9t!)V
zWNK-^<&s_o9^wkdRAOJl)b<mbJe~gWK$$x5P93eG1}|gLA71=$mYBtU?;V?+BC5lT
zm>899a|v^OYtUq2Fpt@9`8_dutOjrH_fPP?Si*Q~=ZDNz7cjr%uy#6C4YFyW46!*&
zn3{m4LL|0?oliJV`B6!O-TNXJ{;OWXxP3HpN;6k5{LGJZE>jwuII$rq#;}Yz=l`x7
zPW+Aa=7;@7U#VbwKO>qsU>U2|>j{X+UdOI%i6$<4Q6b<A$J97(1(T;xvQ%3(G49uo
zah6LINF0ypQf^wo&WJHG&r5G%6Vg9%If@i$RoyyM{cIJRO#CRrW5<B#Z$9X6x{=|S
z5bc^k{clWhV&n|9kP+GNbbj-{Pl5$I|5SCRb?i&z;<m2{Ga@{sv<XkB!t9G+-do2v
zu<rrx?n}iii1(mOo|2X-ynVW-MRRKtTL>w)+v~CexnFtqx;udg<40WWli&ZvCUREx
z<JECU&YjIXY+42K7YAs0Roj?kLL1Lz4GzRwWgK+gQ3dQ}uOtO7F`$RlOk-JIT*$>)
zJ=*#`0Zv#nXe#5GkPhc`BGU&R<X!jC`>s9#4&9g<)wsZnqAg!c*FNDz28@J*vY0ZY
zlU@#q{$fEc7o8>)M0cUunz+C=8)aDazD~`G-GRux?3Dcl{OFeeiS}s{50b%Ma<x`C
z#KGIOAh}Nv4Yh@N`6uHc<D6)ImnH|A+|1_mR2D|0wmq=l3J(+UIyo-(T<DTw2Ll^k
z6p>2aOr70@huGDvChlw=WZQQ}YQjMr<+=KpNc>U)p9$KRsU%*cr;x+)@{uI!F$(&Q
z8&(2tw$RtEb9`vF#n$AMxD0aJD^!1aP6<kEW;aGo@FVT91EhirvS@_Y!;4o050(iA
zj1e4y$n9%qn9#BuiqRq38hha(dWY#xmKGt@k#UmLdrbkAc^r+{?7+k3Yfb~H3K8_Z
z;byFbrV_ep)=3^bqYQo82@%}y#8A?_?WGSJcw`k?%c^BcfY*hHIbmJ`y%^!*3F;)E
z<pUF`J=Q89#CNPd$x0g8=f=SxA|g58`|<*Jh)~h1RLndogW_NDD`vhVq5Y4k);<Ih
zOdnDBU8f<3+J5hSI#NnOGQUmN#5gJN;IZS+tu%R5WZb{|!6z!pom%N~%cVj`z>snl
zqau=Edzhp5iiYOu<S#s)qCr2=@S9z*5>nwHo8l7H(0Bc1*BVcC&~?jD^`FHfmDGTf
zY`fJFlT>Gq6uTy9zMn|{<W4~1Z7$2oZR$vFC-Z~hJ}q!AtLOYur-D|Sqp!^nG*G3V
zMwMop4wTjV4TbGeMLZw(`hc;<zq{IQc5qA&#v&e8el;W^2S3I=c{~~jDXINZVK;<g
zF~4CueKKO~XHoXOu8wr;C-=y!(!qth_g(Qe8R6JoKiqi!&nI(9i|##uKh8xt_byTp
z$GAMT`vwiYW(+lUO*Mw!-ImX0Ur^9g@yD!XNh*3Q6df*m(gdy@$kdh3pdkNTmHQi`
zs>t}-Qg@V$DJ*HuAtNFMl~x+qh3OK|b#X0?+a;z@`srTmwjUXpYzym;cqpQkPkz<L
zY-Z3Jp>6Qljf4(%+=&c}mPL<6E_K*znE}V=qUzoMIDW`K{Z&VTIHCqU{AR6Z2D)#p
z(@$ShL3OpvMB!us<RWqW#f-2Suq6$sbhay_rYx?jBA2;P^i(Uy{!UW}8@D_a$B0MG
zLXY=N1~4L)9l!W3Lro#${5jjbl8Q(?u)6&b$2@kWz&JOY!xWebF1+eglSeYt+rcBA
z*_iw}jn_Q?{$lzqF`TcpEFw}rfr#`Z{f0tbzB-o)oJp$E*&3BXYZ0G%ExxYMHE@=<
zg|8X|C77c){eU=%Ti<;pTjei3zVHoUXdB?NPs{0$4PnIjY>(kZLq_nHN;}XJ1~4~Z
zxy!Oc0QvQ0{a3z|89M2ES@KuupnJn2bas*tJ@3&x`9q5ZVD0qY`&&kEkh?vD;T#XT
zQ)Xjp*UJKiwjJBPyheac4sAyyvLn||33MqDRuJHJHq%ixgqCm|eN~bb(fEbT={s4W
z>r8OTu!8}Z+p3N(NHC(ovs}BnI$1z4M!kRIqCR-XCoD6uZ(<e~20y-tWPw*>$7+{e
z=|THg5yQ2+%h)teVA+BQ3tZu&YG|zM0t?HjHlr7_SY1WP<f*63U|W6bh=TDyy{|1r
zC3pl|(b5|6w`B(3!q73zn>wJm?0P||r~~WagYP>wn7~;!1UEUR4Lt!kiolU_tcAE5
ze&-bvD70L?+-R%~ztiT}4qdFHyLc%@$tE&E>h%W&A^BP$MvHaJaO<Y4=ufL;MlgX0
zf5V+T4lVG=jr#RDdx-wHwS_@FjtNLRSMf~eHGw2JH8ICJLHAx8=Z&pkf{pZ0KetH@
z2-|hE1II8!H{rW_x#yps9cR7-#JOoeR1~et%3+?K7Js1{@5Kzi&(tWo_o@SBpGB+m
zrA0d9HDCY3Gt8in>Em7ZpE^9TYMJJ~yG*Ao27Yk6!vdYXC+rKqt3hhtRQ_P@zd&<K
zGUbl4f^clZ!n(H_STuf>K>2I*Vt4%g8s{A#8T6L_%>oVXIX}H(QMf@rFk2=S?av0R
z(z|>XF4KTRcDGm7(?9g$P2C+6B{*QU{W?%6LIbL7y6u(5EqdySuaTv^9MCiR%xkfN
z3acp>MzJskh<<t~;(HD!aGrWzwB$gA_wnWaemRU#O2zrr9_EH`_X9qZOj97*{)uc?
zClee<a2fw&wG&G9oZ_+#DWK-Hyv8HV0=JigEVZBW0)^cvVowGc(&cMD%S5q)O?$1O
z{0}~e;rwWNn28KleH3n~^&OCQhI8hE0zb^SD(e&llOSd@om2594x9yZ1O(y);MPC~
zRdG!f0tQ-tcv*13vE&xUZ`?v~BlSN2j#yQAL_BCNCdUOYCkA*Mp9{kS*(IpJtAbI@
zWsAG=Jn&>pDXTk56awFsd}{9@f|_CQ(tSKHT#UEhI~O1hm8)k1-Lr|{d_!7MZ$BTL
zU~I^0j+2D_nPp4a=ZT=C>PWG^y9-q9-s~Q4mIgZp?N^$9L}*@PJRiQs4+s4{rsX7L
zL0ihaLp_8DgrTbGLuUn{Z$LV<*jEmA`8Iywe?Wvnt^5^xPGLw+(RganAP;FT=@;vk
ziSV-A$s?gg1e9P6D29qqam;YL_=GBa?y>b6y)6b0-p!>q*D1jhZjWEdJS3oAyu4I-
zT>`SNs@+R*Rfb@aqE+cI33@ivUe?{0f{uxBwMGUNc%`@b*LRi-NmGB6Hjl}Gok#hw
z*<&J%X>?{viBaKOU!j`tO<Aa8F2j@mBSD|MHd*@z6?~Xe&qUYC!C~J{qoz$V^r&7b
zxBEZ?#%gMQ1A_u^H>P_N&8ZM?*{7@WRSlxz6qc`>DMBep^U&ojDyWiW1B;n7V8%xH
z@VR&;sCX#nl6;>AVt8YhQwKG{WaW9R=qEf#Ex&g*lU0Ki<@(CVb}fi0>~v+?L4e51
zlc9t#HHcib!F@le1F;sv&#Fi&@F`ope4{`OGNRHojimKp!phEVTb~F}eo)2!jvCA!
zyIL|oqz~a=-6KVnRUy+#*zvTr8n`|8&6<5^2$RtVLd<`v!tKhsJgFKQ*i4akS@_W*
znNY8?=R670npj$0SEx|EOL!zO9>9xz`xQqs2_!kz%S(DGuy~R@{NBbGjOgaB!~xPj
z{)ie4A0`1kIR0nknlZdF<2Jwflms9AK4cCisK77}*_(331cYy&(5W;cLEJ%NfWjp_
z+;;wWZR?i_L~agLcV1V8Z7Ey#uLl%B`Jhz54sBED+_yINGK&bC_4^%ml4Ze7!qdw0
zkSPp)xEOvoL<M%t4n2`GlmKj&@i3#SDU@@X=7iu05N723-6Bc|?k0W;wxpZFs&&mp
z>=_=IQg3&yoAN>Q_Pw*Wai;Km_+5h)UI_y34_o;dvqMQm*82N5Ccwt~w&?eD1u*#h
zFwc<A2!(Tjy(J$1INs!XcXdh*UUM(tez2_2xA5KfyZ-HK{H@*nxV0=Ooa|5ZUmBse
zD>EuWoH5+R0{8fyk_H)pQ#I_bE9mFGgv4nI8bi-);?t%h5->W`BQ12J3%leQ$G`tR
zfWTJPhsZEdfR>d`_ETe6&Rw6TR04qLqr+0SYJ{M!Xy)#Rq8ZE~th}k}UtXVYu2wE-
z3&6VchSGNRJl6T(XsgLJBd`_YBs>`8gZM2rn-%;bmOOvr!~b({aWxA$5V8}VEvw$j
zZ(YQ+6%;?Xv>Sllx2=i1R89yK_1TFHEMoTt*wUJr4PZ%dIB0k$4kZ1s!G*|0%wqb(
zC0%`e5GJWdotk8UvAlXA`%ep)xR`j$`A|KOYY|T<6J`Qp^;N|`qx0A)%kc<!rwa)@
zlj@7)ZTesDjaux*FYN8gl~rSQU09!Mc>Lh~23<Y=EcchlSuDPGdpG`&4(O)4@AmFr
zrPt03x}7qb#wMz)PGmpThKqjsLwnCG(S-t+6w}y#VmudXoSeC|AuHpI#N4@gx@OT!
zeu2qxEajY|D~G=pOgy^gxmhtye^tOCn(=cKbL?6u4{6hcC+7Z<J%kDR)@n3d+ckpm
zx#j8k8fd~>VFAtGx+C;0nc>z)K0}!AWao~&5)F9kE95VjJ3uGZ=)eBZI)GU$c@}I)
zXu$W@zQO5Nz4WKEc7=+hek{8&*vleS9o!<U-7aNy(5uf~D^nfq!~VmK<a%<e1K|vJ
zCOh>Dov9{%UUsnu(-Ub|Qn{`M3~}x=2VOMLpFJWNAKllDWwr*SMslfvCnYH`o$Eb)
zSh4y@FLM`m{6h3klVln+K9{XFig-o;>(=k6wcUY@US-3(iqfFvJL@=G{$qN?t%n+x
z#vNFW)x+hd1yqn*<>j{Yx<!xADmWum-;SLg%k(CwQ^D_sfhtw#3Z@lq8A6V4$3Aog
zL>`W#z`b4K%sILFSYk*0<CFjNZ-bjJoGZxCe(AoEnafkmiA{yot*#wAY+bS`FhqhA
z{k!`teP3eXRz0E$S{+yz%Dx^TNP=NUTFj{68_b01)PXBMI<Prh2gTG*6|y&o#~t1y
zOqU{`vG}GFL#3hkV~IrQvo7!u^sU9dzKz>`{c9H{aKlRIO`8g2ZdfXMv({r0fv%M@
zl0DeR+ix}`Bvhbj<Gx5xaRbI9q0^+B+l!?h)m8EHBS1YaF~8|hGsf2EwkhQC4U4$Z
z<{0x<8TJti!B^=sM(}2NT<O}6*+redY$K=)L8VM~QSo1}t_9iQ!HfZnH?c|mVIUqR
zeM)NiMA|U1sJgk7okLh@i`bFyHYHfU=8<28+A-G)SC59CAI8jg*xoDER)XasN}79I
zC+74+ZN?fmifJ?T=_%$aLeOHlm)QAk?7HvWv*jPgFiL}^|0f<rP>WX>HA(8lUZl2j
zw?3P|Vs*&zDHj#sMQ=pwweD}2yj($zYxhqqRB*}CYgHb;)$G|~bpC<qG~UIPYR+J9
zYyw1S0rH@_X>-3Ib`bN~86^CsV-DMV!kIWf`;S|p+?=~{!<hZfNL)_;JjRL}`*HWQ
z9CQhlxqdDk!PNX~a}S3sVv~2uuM<{e;U3o~lo&CFZI4@7HW)2qhPh<<+(=pY7HXMh
z8a{z(?+fC-p}C5&c^B*8xc>1n!z~tH_7kgSlOhZqS;N?D8B+YSW#DJk?m0$@8O(UI
z=6O=%2KGjCHDgju1{{w{TWL4WVP@vPGjM1BVh)T2hqUfW16zk*&g_qQtbdy4z$-Nd
z)OLUUl5eLJ%<=wW8NRrP6}xwO9qeF4e#IeLgJM!p&^G>{)pi*Zni~JskjIQl+r8C{
z{Ul+wrxRjqR{!;3|Nj0wRy6ELI{jar1PrIfx!PY|!^myE71O<Jh&uCyfv6$@Mn&JM
z`Ik1Z28SCRtu`Epnog5q%oYcCR~f>d!oOHO-Cll~g&SQ=xYck@N*tVaYLOEh7|>Q!
zQW}w&7x67_-;RDN1|3!9q{nNF$b{+5di`TQ)EyLTP~ap6p(Ztl+gg}W{||%r9?|^B
zb38U+kXH=a+{x`v+gQ;ThU_rM>w;*XYv=URm?$KFs}VY~6NiM>F5RRy3ZrK)KPw0J
zih|?8{CTff4wRAp<LN77F%%i=czI@C6iyy$n9DNdMllipt-n~8Ks;ksJIU%|5NR7d
zlrPVV^iv#_x>uypUgluDU$GdNz0eL@Y~e!@EY{q**|KP%(e_!?A#wO)eAbCOmmiG}
zx1YLmR34?>FObx8k^qCG!Yq?~L6lfqeAUWH5oLV6U7b=W36aOgbgH_9k(`gqSj9;^
zN+_g<PPs`#!>{9a!AK0vi)u|Rln{{Yz1O<w4Ki?v{}k`e?-IzQ_=}z!w<?-CwqNKB
z;a@-Vh%<iW(rA}#bMDVXGBPB%T$=5dhsY3iPf2%K<X)d}wjz~^{wR(vv@a@x;2Exc
zh79tkJ8yE|e`7QxpL>DbC`cJhIMR)ps}xYO0Ef}4x;na`mPvUSNQ6lI=M&x6l#tQH
z+vlF=G*H?-4ZW;IGMuL~yZL!5qciWz;;*M`A``}hcRo=xa7|3_BUq@Q&UGJ^)FdsW
zf8E^wShG4jGNCOCDXJno`<kn_xi%8{zQS&BPzw$TX+p$230>LeAv;>EjU-RH*vLxj
zf={-o66G!hEwGJ9cIRs&y%AGNHJ1Unmw0BTU8SNI+x&~i@Y*OVcb{qt2Oa(g00960
z43}v*lx-M>6|!Y#?8{ijjIoUwyD^uog(4JML{eHMUqnb!QY5sIB?;Mzgi>UZ5K1YO
zYzawO(}L7DKi~WP^W4vIJlA=hZz2{_Iu&W`8O5sm{MyFs`bWnJ!heBhc?O%kV`*$H
zXYEMgVg`HN!J^UU-ZmJMJoWwLBO2R5XwR<w6^86icKeQ@G+V5dzj6Lq6^(uTuH=`O
zTMXDMl&;U8$h5;5CohA{U>chmo0*Y(l*&#zVsft9+aAvzlxDsAZNMh%s7yaOr^#07
zFeWec*u%!g>rbkk0b5a)F7@?4Rd&gq>55FzRfw)RnDVerk6lAvxr2Ftz&?(35^K0u
zp)P*&<)B+S?1%h@F)>vF?AT8dorQJw=-WRl+ptla?M_X9Fx59xN9l>lE8buauhpmc
zj`eD>L%M|@_xv7aiMnjsU0!d8ol{#BsjixA*I?Dak~S_Zg@mrNB-$aoEHgl^NsS#i
zudSOnECBI{+9j?KTS)6)xste6mF+(JGl#NE48cay?~|Kt(C?w{=kQ#Cy{KX=!Wxr6
zRZ>EUm$D6r5@SlwA;WIZ+xMSmz7#&(6TUWk%o;ZPJco%qlI%(T=^DLeY1D^gU)wea
zs5Uh5Y&8^N>lRc-I|LDMH>Q7coHJnj?I-yMHy?Y~rt=bV4Fn7hY?m`lX5m>oo#h(N
z#U}3Q(P`}_;9KVH+fi4nF!WG)+XIasb%rKJ62<id_{!|pD!k1^Db@8v<G<lL-7f<s
zcP<kU+qeISQKu!itQRxdE$`IH@zAy^Y$w28?^ANBkR=|xO%1a-+RwUdfBc0mi2%B3
zPT6K>3+&5u^?05<$@(%-JyZBY8vlK8G1I(mj=OU46*82ctP8iQm%KWpp+305v~%7J
z(_hlEvpoK=&b7DbC$gnMN*>MmZ@U>7M$VR-esbZfj7!`4r_yMAQ#WhcW(v0Wx0>@&
z+_?29huG9Bjdfu~?Qu4y_*6+*rrp5{)-nx&U=hw<Z0_+1wh8=?4`+%0=EDzz)#e*E
z6VT?__(*!S2^N^?=X@3f@H1cF*laBUvKMIA+TI#tB6Ydq{*OXftz*3HuB8kT*4}Vh
z*lUcf=i8(jD}=GjW!?PUP8l%2B|2VTVT}9DV!|%rqWH0DZ~4zSS-k2Ei0mjb!WWH#
zf7zL0nBAP-=kG3uRXnmqb?!zu`m#J!Hc}i%yIi>5G3Bv;G;wXdpb?rsvxAejOF+Rv
zRf315fXg)|kKZ*iknTI!ver%#p~df&lQt{DWty-3Q9J{;Ivm5S45SbmmK?)%UI~v^
z7~3{(X5dGR-wr(uX{3pJPnNz@#^jM5;U{Pegp?ghO(zmCo>Z^=QAri^f(-*Pk_@;X
zb2DwF$Y7<!4V`m6sz??-{v(Wwf!#aK#Xe=q!fv1B)k`;ss4+i2DnC!hWZP+vHQVLj
zasC{)V2~Pk<1Ik_OGmx7QC4TXJT@M_>{;fZj(syK`JrMAh&BAxOl?$vri+B&5=8^A
zMAztb8Ze+xJ#p4gL<y@!mJ#_yG{Fpct03;ffLHY5)e>K2NS13>N6l%1H1Mu?Hj9B&
zhnGkGt5<=Ex$pOk9uj&>B`c_t474~(pH#h~ihxZvg$lJ=@GGetTjykij_13J1f7ZS
z)=)WaoJvOP_Vk9TIwK6sOvl|3RD;MwFs;y^f*lO;wQ)Aa@T7UG9cfYn^_7<0Ba${^
z-#(X1=rYENQ(wb_V$^ZFv~<~~SK6@2*x9cUZUX+s4fTgCHE@`iQmN`q#lwWPtIhRI
z;WWP0Y-CCU1?6OF^$RN6Lnq?NGp4Y~59#Mi*TjxZqen*wI&jR*&#riEhHE9~qPomU
zpnF7w4;txUR){~F@3J{Gk4W6tZ6hIQTTMa%Ne9lIhTZo9El_re`t+lt7P2ih?zoIn
z!E-q2@U!)n==YCE=&RC#r|HUC*Z-)9rp~?{&|;!b{8gyEAQ=Wt8tn})v|-Uu;_bh{
zMCHhhZ|SyVXw<Iii2p@_XOYj@O12excKS9B`;cKGRR7**jtqV7-h8(Z7P$N@nj1Lt
z8+xmDRX^7PT_fOpx)5-1{i}&I8!{aAFA2vVCqb{oCgcw%mkOpDRnM&;Lv-0>^_09O
zl3M=kTXqJx6FZ$2ds_>d49&6fTk0?vUlZO{3a|>heQeFNa5z@z@f%$=gevFdXtV&8
z&Vkp|OGsFI;mi<!l`8&qU)L1r0z|ILL@El9@bnk+Y;KY=?C%Z5tGxx<_?0u0-83Qe
zH1C{Uw*ofRYm?VK1MXd4`$+eK2K>IQs#xtPhwFRp-K{PH<{#X&e^jTA(6Uxps~-f+
zwKOC(o(4Xe2YCM*Q-jT<(em#-QqXUkFdp^*R1#8erirM*zqyAu<DUfhr~;0$YC!s(
zEU|Gq5y1j`bt!)0$iHrLQu8GXigQDaOIuZul-I>B;1fgXu8WsT*0bQi@Y3d$RDtr&
ztJ1sLg;6{i`*;4C70#wJFGfcyA#Gz>)s1B<aVGC?ppuytwBygTFcuY{=W?NiohgWK
ze~sVu7BKNrhrU|rf;`mPMslBB6M#uYLBM?i6A4$Y9E-M)L-g3g$Wv4Nko9+Ee~q!k
z)(`QImMxb>Uhc4r&_#Yw-WIq;%~*i&ZMd=I69ExZv`rHc{Md4{cyX1F1ysIY-X#4|
z8sx!yPGNccaM{FGoO)#rrvUFv{{<;DzO|F><`sZkWAs68J9ChNy#^!orLcU<{VlSo
z0&pS3O#i4hLwfhi;O|kA@aT=ru<#HB@q&bqCfy7_T@OwheU-q8`nW_AO9)~Y@L;gi
z6rt~qGA;#5;CY0c^0jp<F&J1q7GPkC;?ggN9YrNDTd*};Em9b5eAg(Vl_pRPFBeT|
z6i4Wc=p&wX5m>k%EL&olVAStvZuVtyT(B$3xvVONsclW;!L7zP?IWgH9WD-`D(k7Z
zFJjOR9k^ZLWenfjl?QY}#j!oXddRb09Jx6<DhqQ)*cP1Vw*8zq-2IY-Oo}Do$HTur
zKAAIjcof)tR~+s6k@hEYB|!=$Z>gXgVP{}j+2VvaG&grC-n%0O_t>i)%^w&@n&R!r
zwvxbZW}Ncw7HRA|l)8>|j)BsgG3n5o5?J>%s)PBPfRfbbEF%^JHQ8ckJrpHzD)WKz
zkf|)DFYbxkw@63HX!|lsp(Ix13O}7qkVCiAhq^U&bgannyFa>C3a4{jt}M*S!}FK%
z@g4DWG<HOZT>UGB*gOV#$6-aRHPJcZ?nB4Xa}4LzP0|Pyy|{17a%DLGx5mE5iVj1A
zdo<o$0-pE15qNt`1&1{Xmfh8&!^`wDvHOw?PEOQIm6fUD&4sU$WeRj8%FD{!OOwT=
zjlT*-t`bp2Njy-?nXfC+>-(=<4(HR(wyftol#mqeTQA6TP-btJxAn^-(BX81cceNz
z=NGyMZRwb!-q5yCRs^}V_h0)l4QzR~s$l6L9e2#e+<zTXLfn3rvy~B=klg3tp<O_S
zJl|{Yp$=tSPyg<geS!q%YKGO$?{tW~k(sPkQ^iH|Syn=f7CiRWA4%N6z=wut=9?i^
zy#L^q*BMQQeBXwR2iOdJZXXQ@Dj*_K`NmQDQ3^bw)ay^#8sXxf@~OqcYN)07+gESb
zMvO^LsCbVN@})E9!kOymEOz+z$&d=>r_-||F~%6{VwB$C*WmDN;Pbr+D$1QtklkT|
z*M7GwAHUK7=~jMIcbpD#p2z=I5;29zQ`d{lDVkWPbo$WPk`5S~KGZmVHHGK0pkjYV
z5-J5_^zX0I#dN?m8m-d|vt?^ObN?ct_HSNrv6n7_4wk5GZ#Ku|(}U{=leJKPYGygr
zN*BGfmv#kg3;10aI%*+HhUE6o5j-P0pcs4{x2d+ooA-<Kqp@Ug3v@)k-k<}5n99KC
z5+?N8FE`u0C*wZv(`MU~RCwroyeP)$jgd0McOAkM;Eyn`ON2JeMF+hs53z8?Cwb*O
zk%BZ=QZ?O<f^grZxhy$Oo|llky`(58%&O?K_^5?LdRlS~0l;Q9ndibV83Od&oWN})
z3~hBbG^+%d6EC_YFOm_o_0|C)wgyI`KKoaG1!V5*jN45lqrxadvWK9Kx73HH&Wc-O
zqEq+42xs5O{hq(l_7mYmiuAZavPMhS!{U3NNoW<=@a<8O3ckf3{}@WOhVY*=eHTb1
zPLa;vq;x<LJ=bm@;UijOjPyk{*HsfAZAI@Zhsr@xSdu%J-x|w_d4!FD8kjG#{3ydF
z;IVbT`{*YiThO?5<tcT1JFh?0>nH_SEmp==0B-iRpX5^1kp5EL`<sdc&ReL|t&0Hu
zbvnDB%p&5+q1bmXnPMPRWo#U=1iS*c`zA_Mv5$vNp{^B%MfK>*wka0=oGmCIMXSKT
zvp1?WM-a1;RkUC)4u2!BzTf^p309%!XL(NWqd(M)V9DV{`U-m@FOMRpKe6^)=~@9b
z;i`IbiWMlEcytT><?-2Y{_ci!Ud(u>W$VW?ajH}{X?{c&qrpeMG}iM#&E}_f>^Dnv
zzf`>Q{)7xV#~d3vt$ARhA?)PqWC_o0vEt!o1dJTsL*y0V!L{YLj~3pwz_5I>Zm5_v
zykZppHY@R<wvdq~Dr13XuB*7Fc%`s1yr<^Y9v;kBe>PW*GDlo5^XN4>N!<KZc-8SU
z4?0Aqb5@U=AvBHr{)>YI-VCcGp1R13(x%wR9#1ng&TeRsP7_CRcaH~a&k9sIs9P(x
zn!+u6G|`Y-9H%2zt_<G6hgB^*_uE;Uf<AR)IpW0NtD3W&z~Ps6p=sU8M<%#>aa)41
zmKeq@MX$|O3V@lpRJPpQ1nysU$Z9+mh0qLPpio!{pU2#ECTol#vF5{Kg_kG}Hl8Yv
zKDiP*Yr8%ivNOhW>+1(LQAJ^;&KKq@C4ySB8`71pj1Zs{KeSI%6fG)8^&dPH#luwL
zb5lEvU`MNYlk6Z0=GPa-WzAxcW)!u#|7PI3!Ah^3G*S2r1~oa>iDUgg-xkUx240^n
z-1eSd3|kXqxBS;Af$g`vEy|1-uzXD)71}I@jn;ay0t1p5DCbqM?4zS_18sp;D~9)i
zvE$r=(y$g{>rgp4?@D2)8XAdXB)Fcrdkq1u_PdkDSafI}WUUl=B96ytynKvw8GI3!
z-Zi;sh_063`2#)@2u_gB_UD$vz2n74n(7SE_}?pwPAN%bZz1xJM9X96>6Biv1Vc>j
z?WoY{lf?Mizry=v6ro*t@kaO#L-egxuh)Gjg>cj8PtgrZSpVs(<VzSLlV77=twb6Q
zT+L~_&#EBolx+X7wjn~rLrgZ@BfwNG?aX|+Do)S8h`*<5h!FL-OXKY_*qkEpi(NuQ
zsom@<J9R^(XsuThTrLMPDcHvUt{S@Bl0&NKhWOc}+M2Oe9&5gj*^F^|oa7p_cNT7j
zps+|;oAMQqWZx;?(xri;!7-_lF@{)vsP;#ij1ug4N80!}e$lPq+kdjb5bt;1-Ebg7
z8Na%N78j+op!SJr*dj}ZiRt5%A~{u99aZ36XG}(U*dMA)G#xQz=hZYPRH2)g+SKJn
z!O%d-m%|(nQoZwS*rADt>nR_F3ioJ3_ERKpeli1e=C2jr`D#co<XXQNK*fhnT@@`0
zBS<)G+-4f5j(}mQE=wOBcx2HsW)_SPK@ERqwod~O%GXC580mt4!f?gjSH_4;5EXM?
ztBGFkN;#ELUA$JG@il&E0$!^k`Dr2v);aTQ)%NS*&xudpC{?ETBJhx3XPSg08PmbI
z8a-Tc-kqrN#0*InRiz%6YC*j#VBF=69vC}V6p?Oo6eYCJ>1-o|Iyo|Zzfcd<l@bs8
zW-YLL`=7zNX)+Q;dI#7RdPrE49dTcTiAQgK^gP^4fn(s@RQ(wach-C$t7}+6o%c&*
zY&`|9v-_;t5_P~IE6&`k!@|6o`_dA}H@auKxIb*9B1>As)I|)?@H_P>i%%OTTvk!v
z4RSa_+_csw5{Ni%lrb?y!Of=CIqNOS_^K#zqo@ZEvm3U$Qbs{}UUBA!AQB!LNR2CU
z^8ewv%-zQvC}^8+%Q=>;frvYdwC&rik(=2dSX4)bSf0$K>^wE(d@<)AJZX&)L0a!>
zNisHcJlMIjMir6vkIr^ov<CTgyw<k0TB!M<mAU(=5)yTj_{b^NST}t}KYcd|6`#%v
zon*-)>uQ*wLzFcF5^K0M12u82AW6q$iGaHn3A^RItif-7VA^iK2I}+d--_`|;pTZ^
zfihid9E>vPH}c|mN4<)eioZC-YZi)_-+`W+2^mukYKZZ7K2>in0<L@U?V}t&az6JW
z_@5~ehqmVYY~3h`Uipc^;$6V(*@h1XsH&(F@;M+#-~$i${pX$pfKo5+@8+lsS-tTm
z7DspxytXX+cPtBq0}VBDn-r06vb8MUcR83>+_GAGt>7f4XjBv`kF>{z9Zx&B@Gvif
z<!oSu4W~c4`BlrpT-eR=)PaAjjRL+5vlu4KtjeNu<zyha{|3*#r6ty9bK#i&E=x#7
zwfy>YO&VG9+w^RhORQ2}e@R;%OZ;@w06##$zxvR_l)^~C5z`>aB~}?#bC`U}0yV|e
zZaK>(Ax_>Psk(28mHxH*m(qYa6a&;nI>*GZI<a(xm)>6%-;KJkIHoy9p79WGPl<sR
z!+)Bz;U8-opU?NQ>t+aAA6utP5W|iMVIj>OT;N;s&url}16%O$On;>aQd}wf6qw5(
z^`!6L{2^2DmfLb)3KPb;C$=_2Cd(n=I-|U$-vq+D-2F0-tVB}mC7Ez1ZXA4aB#g_&
z1QP`&Q`WgckPO;l(0`l<4$Cy;xtfik6?Il&m{$nArKw+fn|M+0tN(Mqtuf?-$i)&@
z1#x*rsmuxrAH0LPTRoo|!M)MR>hdN*Oj5mv5_0%ak&%<zzuE{cDh7vxS%O&Bk!@vY
zB#1noF<trB45SzyA@I6!zSE1R42Fadt*JVq>&<{@Y@X;)q9E4a+3}KEEDY+4ytTHo
zbc~K%HTXRvh-p2$pGqmB$oi5jk#LTVpYoHZqr-*pE4ouJzfBA~%X^O5a(Xz#URd)|
zS0ZrzWsQuF;)v2=m6Wy`!kbYMv589<+fFnstPzlehHSI5daxm$8Tx;UUlfLFtDm>D
zy%ge^hHL(5a5(a$ViT{DD0D<~=Yy_Dqhi^&s}&z;P_bhg-Z2zIqG@Zzo4*9G_evdZ
zOrwD}q`>y>xES=qdiGq8k_C15y}fPTH1u@0jtJcsN2%3*CoOq-@VP&1KB7m%N8UuY
z4XF|!{yUX^rCkAiT~+U5SI`ihXv$W+Ac;?{LTLlp96zx5tTr-cfUDnv?@4Azq0=}s
zBsWn7J+0&Z7rG44GLw0yqfQ!PQH@FG+f?Cr`j=epD+7dk{jMKfAYge)+k+niM9_ra
ztl06+0DmHs9zI?#i^1hR$=u7-@oUZHXKGUhSZO^Ic<q54;sc$^YxOvN)qB*-mq0^5
z$yem4g#wly*h*#jYhv|_pvW?38mKX?oxeI2L3Dkm8C*z$W^31>+Zi;xZ;py`Jfn=0
zU3=^uXS8t4xM}v!Um6ZNRIBr8se*cy|A37J1-=D)=NO@eIDfG`S4xVAJ;!FMj-Awo
z;$D%>jRJJkGpfj*0&39XRL~_h72od2st#1p@q{|cHOQk5-tgMT6;nDe_k8)l{ul$l
ziiXeV^Jt*kPa!sFg&sBprW5tH7$JVSKbg*>33kmoImthI$VgvzQE;O%zU@4yYQBtw
zu>3VAY8v%nzd3VZ%Wf0A%aShp{gVWX;X`pmJp;V2>$f_QXo|{#*vQL+S~&Z5T4~E>
z19X;s<Ga>u2GQw~!iEQAG?j!qo%At4<nXEK5K#-zi2X*hVHB+1?~(D9WdIlNQJd@A
zEOB;9xHnu`8#M#7Q;y^Mi2A%Zb)tZY2RTo7{m#|~Ik%6e=C2;kEA())$E~nVE>JP<
zk2Ze1zw5fXP8VNILf9LHf!@-_1T9@EHdJ%9NgL`wY}1})gI9rxlZOd^^r<-USH{V7
zhc;4{u`($fzc>)~mX^#-#f8|#IN}yE=<nz;d?D5lvOVhl_m(zH1CCRl=#b!59V=tf
zV2wbffaTMib7~luT-Y|Qj?<n$X(tw}@j>N)M#_E)q*}(A>vD<k-g|^zD{F%)uD2Vv
zr;x$F5ImI9sSKMTXXj=W8_ZaqU3inKh3hxx{tjK0$NG$>WLI$;{L)yQR69)qX>u)*
zmQTQ=aC4`UDQk?k9Tx8J(!_@)tH5zFNgUCB-*u+e8hY|_+xJm4P;tU++3^NZxCT8a
ze;jFz$~AL2x|3?KsurAaWD4SO=D~0kx-~Xe|2xxrmxvMFj+~?Mya?q@__TTuU@Hx1
zCx)pa_-oO8dj2wmd0l@We+KxyI#`5uQ5hN5EXw_5ORVUyCr`$-0T*ZUbWuk|WOcdO
zKNA1VI!+Xm;Z0@1bz@4pt*Sg8UcQ*k<uS)P;1V<7{LTvEj*$h!1X<7nLx%l|W?17%
zh5l8tR_F~6UVKO+KvG8M{;Sq0mZ0bNLl3twkyBOmdS8$f$jbIAN^KJ?rz2ObgRWb`
z>QBMWoc9tKKA*Gfu=E6L=<m*%tj`u0nlbcT&EYFS*7uV3p$XP$84XJ|-2&?DgBNee
zi=jHq_(xp9B+F=RiMQq{bEHRqQRW#DMw8FKYU_2=tOY)gw+rvg(ADj%+R`HgvVX&e
zlEfL7>iZ%2O@?OpFM&3vEGY=_qF&i0;qNTb3g0EuBvb6tSl;e*jvrO=&TES5=2*VR
z{mXC6nxH@{?Mjj*AD*r9yZ<KrC#ywM&*k)H6WqHvK_rn@;341h+AkTuS(@W_7rPsb
zaZLQ>fnZx+RJPdIdetqkl-1Rx6B)+fJ*LD~Nan#<OD4Yu=l*pnpSETe7~#FQZ{wm6
z5AFthjyvl6kJWcFMvseV1nbjhgI3?=hDy}qw)Pn=4zIq>-_2ye&#UN6>~U_m`I^@H
z*e=H<?k&s;Wd<^vOpjhW%#AXK?fu(sasKPGW>)6Xkt|?HW5;o0XXBr=t17%`cX*l9
zq)W$5R?eQJdT#XQ%g0*YS%DMoyw83-GK9nDrK-OiKfJkq1Mjm<{P-{XJ+;iq5Xv!;
zvmV!Y;4;}bKP4-Odl}AlGNUvw;--JHOnC9V>-6$R3qt6oNSxVtk_H}YvT*4fFCt3c
z-rM$<<I4w*mZz)J@Zd$K;8e#7==SxcUY8U@|EGivIxPmEY!;!XcJP6E<F!qsr8uO@
zV<X){3?M=vygWb051Cohh5T>{&_vJ89V8oIYGiTSf|($uUI?*;-bg}n$Ite+PxKL#
zwcgy3!+rPm3r@Lq(%2LE!X*{@7zh*hqZ$drsCg=4e+L1hA&r*XUh3ic-6YA#NfB7o
z9pKt{ToxmmMG^@I^bqLn(?#AZhOR5MPs|<Ual~=G)GI|j7#`d6;Lu@l1TVFJcx$2v
zLxaX!QXh3OSo~PoJXr#h9u3B+Ym{;AsqLHOM;s3r8MZ2aE{P!W*5@y+RPnT$u)X7s
zF67Fj^A;4OF_^07Q@fvt11sddSJ&!7$0uNo>RAE;-zy9W6sw`{oS)~}uexZiA#w>w
z$l_yG#z%uc>R7l*4jJI|`jlU>cf9V)VZQl6n9O!f>?IMyD$Dgi=2eV16s7<TC%4C+
zUXqYr_H)2(qdtn#+pfxZD&gAfxc)0gGJ*^v2C^g!kR9Wrm+Yzn2W5}k#a9&2T^D2d
zE*s!c^q~*=_f)ZJT-MukGZhj~0_^hWG`K&p)f;+FM8%GsE&Y8uI4<ZqaCVx8TP9c3
zRmRnz6qDsu<j(PtgjwgkFAO2QZS$Vj;u_d>SN2k2wLaA2FFo^arNcMtkajLp6Eibc
zxbq`9JmL!aTr$qUhPk<wd-jsBKjwMLdOjKsD?26nYa65Wan5tWBrSBCGv2)oqT!Qy
z3&SAJ1Z_3fY%`0==(CoJCRWoBWP0<>*MFvHS`7YjppwJm951PWH#CS`eyn*Zp5slQ
z3nCc#+VGEB`KtdB4MoMZ9y;ola6QxKy*q>oljYf?qyWyIb+@mL)i7~FJKE)fvJMCl
z<-4>weWmy8{i>ApEQA#67_?p0!Drh^o)~Qd+&{Q8_KF|yP_3_iO|K5p?!Eh%dRPxW
z0Vnc@Ih;xgT)JHSSqEVoTjp%&IvA}}ie(mBW0(;l`sBV27Ag+b9xtI_&A7F+8p#H4
z^29zFtkZ$Pt{{t|?<5@YmucE}+6F(VZmvqVsQ4cM0RR6Cmt|CyT@Z!o?(Xiq_tN>!
z1yocT3=k9*l~h3BlMp4u0!30K3<M+vBovVMD5;22(y553bhjVB&Y!bp?KS7j>}Tt=
zs<@~~%7C_jhhk)-36!Wy`P6+@f=ukbm4~Gy1Xgd?`c9fa^6;j$biE?Px+*9Yii(1F
zTcTa{ZxaaUj57T2Kmm5`N4&=8`9bg@Z18rPz=4KmpO!%$6uc7%@kDOOfA8nTo@D~u
zMR4D@Uly+NGx&y1vO;+r-LvPeCcrT)llSSY3^chMh&Xkf4qh1H6k}{Apff4_oMTD~
zqL+LAlhUF98AHC^=cQzrIuQzCK9Uf>{v%IoeFalhX1saIf(*qC@*iWC#o?X)k&;A~
zzt~~s$rak~0MSK%w5jDqp>(j#Y5x8omUd#Bb29)SP^x^wCqxKbmzKY)WWU3ti6lh<
zdVrquW1dCJ{NR5Tl4I9v@!s*#12GyHWPo7d`$xR++~?E98q*HEXeQip_JlD!%hIW)
z^5%x>43RIBfxWoxv8vAMTSkze+8O5N%?VV~ha4O34d9H@Pq^!<4Z&eGHQ=%qJFI=4
z_>oN<#0|pQiC&8au<syq-_O6yu<?H5zxY4>cu7-L@q)Sme0y;6O3^w4Bnv)L=T+~;
zMP@G$>@VvBwYRDD`D1i&yzFS`_Ngv>`4$UXK&>7`ctx_YQPY6i_!qVhDQ)=aV{`8E
z%zDsxu<n8RDkbFUh#UQJsmFDddJA+;>4Nuj7)ep40DVcy-(0^-@D}P9;QdAi-rc$9
zMq{vp)!yLojap2>L=PS&#qsHYUm{yfaNH&~bjI_8&(~UvM<&VkT(CCq$DX})*=!vX
z^eLe6qWy#&a8R_bAJc-4ilD%-qpR3u7qK+&j!tYnWEDazv>>3ef4;YR8Jp7Zx@DTy
zhvmF}ef@N;CJc2P|9#(M35(p>@LoAJf}N+pG93t-Fe)Y>6mnt_(>Ybq>dyHco4u2|
zL3*hHT+9pNx_1^Z;sFCK%9RPsBf!aLR9XY9hvG9d=I5~xi36fLBfqeD%`cl+774Bh
z>E)!}n#Z1*Po!P%{)4^JRf;l_BSB4#zqh&dJeHCy|L4-+4A!=8nowUz1XVGgfBi6z
zIfUt+R=7Hktwm%RB5fkXwv<)IIL%}2nHkK&B8wPVqnlHvfdKoZDw|~=&tnuV_9jkW
zmavL6bLsC61jyQ~JtMU{k1-~Au*{{dU@X4-VXQ+P{>Y1^U%s(`(Kd=nN?l#UnBUQ{
z#!;w)9^Pe_tiFiprkwG;7P)~%9NFl3ucZc$?2c+hZZBdDuc*Ha7H(mz&JtB&eyU(|
zsbjr(dI{6f)^v5I+{ND7KQF9*tpb;-j(n!0T)_rp0_t!R3YdEKq$7J<8LXUH8Gq}q
zVoj-E?Gv9+!hOMCJ%$#_aOvizfI|8j#?t()#72l3Bn}&N7C%>ltz0~YQGNq^Q<!Mz
zTuB3;E?x5>P$)rudY<HgkxlGw_M>X&|L8y{pX(O=IYqeh`G){!<2F_mo!tee8Q?GV
z;K_R(3UDYqYLa7g7du2qk~X`-1RorC?R54lK;FQTr}je%;Am&Ku!LBEYIxT3LA^ZC
z41SpVIYJ5Rr{~D(zz&*vJVlm=<bnHYT%F2(YT!Ou8<?`g0q>-9gZ2%|L7}zT)roc*
zAj`H-y$$7ppDOiB5&y}-h|R69%8_(XP_1{>OOyvx2fRkiB;;T~u+{Ut3j_2Do0^sX
z<OOCPikDoyvher9;A4aHOz>;OAh)cSA7-e76zei%LCNq#Xu?w#P)Pmt<IbueyyM;d
z6&NH7ngcegcR1J~X<#$fW}gUj8-<Q{o|Oe7Pih&xVGbyJz`j1&BnI?U)_GIzvas&D
z*m&HQ3*4DG8UEHufWv9i6Gv~$!WtD>WnhvU#J>xfGiXbJ*YV|;V;^PVLrGNJ_b0r-
z)AUH%;iEJJ*&WX9Qk8?u<u=mAaDM31nenK+A`6zSO-mlNa=@o+MnQ-cgoC&BYIRNJ
z!Q}j+ZBVE@^wGP>TqqL;CrkVK8aYK!lusOG@>c+k{g`$hqZqsjb@I&=R|W->P|Chs
zMX1&m$@^+10TteX{l^tlA$QbMcS}YYcs@nfI6agECmTUSc0F~t|K8<V!Ga28#~(R4
zvLgkQJatToSp=ZM4ynE6RR>@0;nes3GEn=lNci$|B6Qp7aZR@pU<#*yrLiOnexG*2
zvf@b~&=G2S%$NkWRj>Z72g}3b>)o8YXEh+{QyIgz?;5b>0wpFCioi58eq@D16XZw<
z5#Oq`phAPMIqj+vlt`QPaNpGgu|F;<U3+`1_u^mS^<T;`GtHXX)~E?S@q_s_!+Nlp
zzdE#_p$ZO<3opE=(1d}GH|Z%thG2X5RuXnZ4e|x~^J8r_;l$NTS}CWD;bZo%kLNIT
zaEa9*Ur5q`2ZWcygBAcB$q5(JC)MHa=dbTA!%0xxCeu#kM1~gwj$R%T1n97RQE-}<
z2rs(MG?!bL!1<w6jpNb;nCDL&C}~xLQ0iV94`EXf6ZKzlUseZ0+M@(Al`@cDyEkUn
znL^X~(_2P|)S;``iSFFG94M+U*tHYQz&|eGN`i$NjOyxqFC379&HCwQNtewaedg)R
zU20W`%$F%M$Q1=~Di!;V8)h)|mD|oXL>Vs9ru;a|&IigG&oj7v%)m8?(T%B25n8Mp
z%w8U1gYcQAsb+OEaCR8H_Hjra{%qK%v<gzegZhgR*56ElPd~-`=7cO{+B?3=tD40K
zCJaP{bEdGnn=o(rT^d{&4LNkz>hK@KiehGa{BS7Cl<(=dB*+|!Uk<LG!*R>}E14%v
zp!DMfL9;$_Fn=6;vhdv|UKDc$W9lM<G7XF6B9{orO^K%D2U8*oZDnrt17z^<80jw#
z7l3W)fVPUuG$=G@q~OIn03)G)KMzXt!mQ*h{`5K>G9x~}DW(hX+;_YvfR+o=xUW>5
zYo|y1Cw^M%UBY0St|sTU6&n=Kip;mgF`&HmdyJaF#_;-R>HbTcj8LiCJ<~JHfXw&{
zJw5Ij!J+*+F2`+XAamU_^YthLdT4APpI&ST@vH-0nY0veroqlsrHBEs`8t=F_Zz@j
zJR@<?ejVc-)bS;pU_gbPjByRD1`yj@MtbY9fQ9b}bcJowBl%(1GN;4(@V8*3DK2ml
zyK%7P1Nk96$|(zGb9|r&^~(i}{T)4+h!<lCZcL9DPmPj<Ms<PV(A4psTQ4#9VSncC
z6*_cB#!;S0Qx`sj(5+`0x8XM8`Y!_N=@3PJ;Nh3|bs)#NRysF&1kW0JdsncK4vDr(
zp1rxS=hrU@H%xseao4#=&-h-`p`KG^k1QOuq4wK{C8PCeoa<fE#mRxa`c5SJ;wCM4
zwD)m?LKkqg|E5ITW$DodA03aMo)%1eHeK~KUB>-ZrX0AE=+Wqh$Yu9ZO&H$l3$Pzs
z#lOB=ekP*8fW&-tPX?-K0(FT=fUnC2ekP0D^Yl9dl2z}!6;YxA-mKq43>vp^HaeBE
ziUvmXR--I3N=F0Q7wi^JN$%pm4%duFePu$@mCS>o^(2T+;LPwgqCkYY5YkZ^7PR=d
z_*tL>39J_VQfPfB(Zzq$<=Jkm=ptF5I_3`%thOixeX^*~)7%TzQj2V8?rP8V_8UZ~
zKW;)gJwc5u=5kq`k8vQAKKBpT<%rOFaV<SagBERfn+=&;aUv(yP3o@C1aKq&_f#s0
z4lPG0e_}qxg&y2h5a$XefLFPCQ#~UC$_(mTTe-uH7_$>dkCh3qYdoTwm&%9&9N9Dd
zx_D3nr)@{YM|Ie|6G9dsGo#02EPUH~eCX&Jw^I4uoJ07*t2T_RNa2#gAyLGS%5P9w
z_zbGSxN_fY>=GM#yj{3?;({O=i2T-g?5Y~ruO17Hh~Pk_kJLofh{7n;^K*wHNe$S=
z%tkI|a3Y#Y6gVL!ig-VMOdZ=&1^iz`r_fg}l-SaKHl8Ss^8UVXYaUXC-iM>Xlma}c
z#Mt@dLb(JwyxV&;yjK-^UYxSN5zLFs{-ZReoRCC9#Z8U>W>sM`Hd5&OG9U7$vSTTd
zl|~7XC!Mq8)W8xw`YL=^0BKvXf@-h~k`W2GE*hx@OLW?`Q-(swvr;5Qa99=%-mX;(
zrd0>0Fm=xqCJ~gEd;AM#Esx~;o-8v~sKeNipq8m6QFQ8P)Zf6*3dq~N`eEK70^Hoc
z>c6xmj!vh?ee$qTLZkPbUip3_KquMbO%RhLIv2rh<@Ze)rFjjnF<d3Wv`aBi$Vefy
zw4vtepo$zdE?Av4CBdzy_c`wFmqz}<Q?EQ5)X=RJ>QxFQ4Z!w&{$qDZ21Q)<J$av%
zfD{MTy(@{D@LU7!G(46?Rp)d=u^a*_ZORUIbJBuYQ7aC=206rJ%SE3fOGK7mT$2i(
zYr}7L?-tr$@+joZlm7Z>BJw1i-*`%|3)>tE{m$D8NJ6)XGQF0F<i;X}<D>PU;^w&z
zX*-H&d>rGgXd)s3r#jIdE(0Jx^Gx*qp@i~MXR+5AL`1_xAW!BQLU_d2Me7`8q|^Ag
zY}<&44rZ@JL}SJ<U@tvEi>aVeR*QFbdph+!H>QkQFgP~k8%39^f~*re^zW3Yqb}!s
z3AS{AeUjYg{`ILKHJb2>PbI1-=*Cm&dNLWb<2knWcc>t~g9iJooRyJ+xNWpRI~k~p
z$DFnAsi4a%tm^Ge3aI;^TlhZ{6EN~2jGy38L3Y>2{g2SgAzF(IZr!OSu$J>gAlykA
z$(qI=0&QuevhNN3oi-C#**E;l$4?0r^wVxxcuAl-_kZ#^6DDx-Y$RLp2}Q(P-8y{d
zKVd|++?D1UH38H8Ig#5E3P?DB&(7AL548psa<t-mKJrc0vF)QAI!4cL**3<BtoXIY
zuir5NYWGC?=97ExwWfBuC5IVZ&y_CJG&O<G`5aP~Q_|>o&JY7+(IA#vpQwM#kl|R=
zm$OnAr4a9j+tn*RJGd!Z$8nQ;Wa!Va;F4RDK)J!i+V+J@I91{s`G@jkAk|jwcjOXB
zRtZboMP<M6I*+!ftXhC)l=sEQZADOmxZ3I(V=w+&y=m*AHNfg<q>yU4APOU1jy*^B
z8o!>*oPMMM16=WN-8Ex=bTYDH_uNZ_CA=KxBK|dooElxv!^=GAjBix+ceW19Q0stb
zG_Nt7JGlGIzn2RIAMbjvr`3aLmjvzvni&DRoucX8DGns27QQ)ur4Mter1gG##SjM1
z@3vxAY$z-vB=$!@9~N35_M)K70OqvQ3i_m(QLx3F2z5~pHsi|j#b;3;q?8gG<g6GF
zsp^km;QcP_jf(Tnbsc@^?8r`h+(L^I8bhAEpZ<c~lsH(T5~T;HMfN#~-lIk(&*<ai
z92&9TFp@aXr3-oc_=jyCQKANhiW}5%6<C+MqEMTnF2rA%jgJ2K4<FMHiWoZUfyWd7
zoBtfG1Ig*nG^BgB@l(o!1NviCIJMIN{fh~0;0mI%61UpKCkln$s1!Eiw4}T<;s>>1
z@Ie%HuKYT_EB=62yRHN0(-+)gFVh0?_TKdb$5ou9Z*o}eWiQU$gYg^|*8;AXTnHXq
z#s{u=PA<j|<5q8i3HkAw!1t!Tr7C*~x6N!j*<Cx1YcoFSVWQK7r?>nxuaqw0!iLsq
z?yo0sm0@}lt7{sNfwg=tUSGg>D<WgRzWRlmv?j4TZj<1s&e&hxpaq<KXuYMX@(<qn
zo??mXDhVpQ{AlE57jWAR+`hDJ20vuL7J8nN1Zvy0Brd82{K_A$;;5_h_{~(2DY#99
zzXJ|j6^skG`B(dfPN_xQpYa!80uK?Ahb6rq=q=#Uc2qG@150@HQPb-ddwh+i)>Rws
zFW~X98#^g4SMaKX?pEit2r&70ieiUp5x=*<*J|@%4W})u=g3P|2lD4*wL$rdxZ9ep
zg5IMIoHi~xPpMfAE^J$l&-*OlIUD)Tl6yWp{WdJ$;-4zqkL1+PKeCM1)_hS=657S@
zH#!*b7^?!K*kY0MnHAigzvS0XD++YB-6!#WlnUtHnXuANUd2^AN=oPQDN%TTfmiQW
zWmwDX%=kOEh8t=JL^{Y&Beu!%_Z-s7@P+Z(=DmOo{OP)@qhB2js<Cn1ytv2lZF#-Q
zZ)LaetE#uMe}vJY((7}VwMP{}`q+nwAi5p=MC$gFduJJt4xud#H&=us_vgi|h5q52
zhto+<gP4$?=|W~mwE|Fmr(?+~qd@J#DRjxzEGT_C?(34K0=%@+IXb^WiN4c|Xd7s<
zqjp-Qk-j(bAR9N)pXf-9GJ>|RI4*Ob?qdP;|Mu^3@F|<iN5*In@5?&D%8Oj6WXIjf
zb4(626DN+4<LHpJm7**M3lFLap*J`hBL}SVj61n|`WB{651skSi+J9pn_~KMaQ*S0
zG?5ET=-#l3T3ro4`Y-kEli3|v7^}!S>X*iXn1vs_)ae#P-_qX9#B|95%Yh!p5*l_?
z7_juRTUZ43q1%rW-pN8ucfakeE)G=umDJ*uEQahz){)$}EC~AdU-viVLd&i0x8FUJ
zK*Jv*ToVUnp=HaroZQWgXs=rHuX9VG=~qq$n*4Hb*FjH%^A;}}4zPVV_e>h4S?v1Y
zL2{s@*R<X3%8z2yf}Ii$%c6=Omb#_?<bdnQ>S=vfL6js(*ji(kM{^&}Bcr{($$eWD
zy>?R=9ZaG%5S&p!|2Qf%4(BR>N)W{Xqh3)|S!HVzGOC0sud5oI=vIV)fIG*M<s}f+
z?iaa_<0{B@YShK~fHK?@cogz8ND@uI(P_Fot%mrg>qDIwRN*s^l^au^6cVoNfBGbZ
zfExB@fks>%e!`C{G3GL8-`k<bLH`jE+mp`>6dwuT65VvRxIq?Wg?qY0x{=U)9<vmM
z1_`j=8#6%%<dI$JPv03G4aDJ)UFz^f0~$Jozgc`zKmv|^^5K&jsE2>nF6)sNgm*Qk
zQS4Jf({aB1tZtg9NmqoWCSC``5-yo{7Ad1wtO|mMUTC5qG53Pq0zI%;e(jOBp@Ir;
zPyX&m(?qj1Z+7U%4B*sg`JpHgHT2;U^YLi%-u;Pz_eG+{;6_zIFU+KlY*V(qmhNjH
z;q`jTgNgvPWtmismFnp7xiiy+F(hPPF(e|VMF!K52O3%|1a$qvpgWf`5lPC1{oqhA
zftro(+aI_ID7D9<XqiJD4d0M(zPoM$w?Q~(c~pImZ@r9vom58Ke<EUbGfjcaR38vS
zR!92xs1q)_%cFC0FX-d=%%E{L)tA>s4aJNN9^`S9M*aKR-$lEafxdg9m_D~Ens9b_
z*k2)r6icd}I0l+QR&VLOhsnz5sIGscx-376JUn`jc*YDARU#(;{!m08K53@U>T;kL
zro4huN@m~}qB*q2tbpuBdWUmWX%M6FHF2wMQ;_IxX1ysahpKuP%VG~K;gd&d(%9Wi
z!FNZzG*MgzQ2_JTb*&maP&#ATV%h}Woi6*4FD-=<`tIhw;{1*AG~PC4xL^VYx~_5F
zBT68qA1uY^tJbjmm33Txm<)8K>`4O8MbPi)Ruy|;3W$j)FY&e`L#oP&dUg&$6v(6T
z_l7n#4Dtq&?|cMs*zRG}uHZ$ajU-*7D=l2K`@(Ex27otlC1<2?p^&Y^5mYU7u%Ba#
zHS;D0k=uW7d-|}WEN1DRmWTAv;PT!_`++fh;&k3hP-a5@<-hG}*XW@$(&!eRZ3OEq
zk|~>RwCFu0QO=!)0r-e|j@*rgu&?=Hoi`69BBVX;+~}i+N7@w)?`93)3jZtN$#a`{
z$K|A7&3EYG&EPd1Nht%^p!oE2$ae`(6KlzzSE7fT+I9c#pVWt2sUGJK`u@R(@&oT~
zH_<^^M@YYOmL60(Unr8#8NqEPjbpEP&_Ps@;p)VkE(nZhq})hp#Dm7y!y|?0pyfBG
zN3yBz-Z`DHJ6wZViijqfjnTrNk$b^289I<J<>%5m*@KmO(M+AfX+d<coZ{N9HvHV?
zy7BATckJi(Ak%>wT6j0w_iV;Z8;V<=Cr!xy#%5S;#%}lQ)lswcn`zgASM-4ve}v~S
z-8VXAJlu4!>pSN`Hqip*D-9R)tQRrK+cv^({&di`(lGn>jV9!Fde&`zU&dsXeqDOC
zLI;bL16MUPH31E$>O?xMVd7gBg3OupkaKe=H@RE`T5?JQ^olpI9j6H8Xm191;wE{t
zQ%?g>$)#Gfv4yRx8Cz<fVT6zVMrVHR<;s2hcVFzOz}6hs2A!`nLHkwqYu$Dv7_#YC
zE-|A3;&LT}YYQ_N{-E@KHA#e$&!zqC7bzi@%lz7i!CvN3gtYi;MA#xW*a|(Tg4Myy
z-Pc2GpiX=4bA~7pTBaAC@PDTUV(X>*;YT^(>A3zy#`gqxlA<Z8Nuq^ou9Hf!$2h@g
z*ldm4lK?Dbnl%l{bkKRhoUPNJ3x1ntSFj2aU`e-pl%0bCu2h*W*XD6UOjhwoX}UVN
z&9})qykLYV^FwbtcX&XWGO@CcM;&;m-|Ds<VTM1u2bv0e`C!thY^oql4Wz!gey)^f
zg&eIK^qX1$zDv-UhwbIZY?o*aOHp>{IGx_F^i~iYW{-yS45&h-{+-yL=^QZR^k91Z
zfiP5N{`0w$q6!*`nWIF+2`v_W|GmC13I+HnzSkF2p}dC_A+pH@+9y;FU4AVN$4+Z<
z)!C@RSt@5?ISU>*L*hBMv?~F2qWg>d9aN#Ef9`yF6)(7rUv^B;kpfLuVV|`?Rk%46
z-b8K850b2NDh5%~koks&`r8{-c%D*xjb}^%viuY+n8sxQ>#OHpkx+xqS;onPOd)tE
zdh?i%wH*8#@M?ZsrUsw8WBcC*i$FweRPJi4JY-KA-L~^rhr-jL^6GwK&~N|2T*Y1y
z4F3D`$CE?=4!?~4X|e=RPIbjOj48n^&y9vl%><wnyfxQ%OcJ_&9NjVXQGt^qHeo>_
zL}+a=YHYe91<seG{Yi_eaO73){s2o7Fo@^~20oXD`r?$rC+F0mQuO-dFj)hJzva9f
z>X3l~<q<l?lLRQX!Lr<rYeH6PL#Pn79B71R2-GbT0OTEf^5V6C<f>_UhA0o$-Ns$+
zULr!J(-DimQ`(>t%6)(5r~(9@z3|ttnF#cqYt?UEbb-LX%I4yu2p@R&OJ^?caisdz
zfvVqn@QNsz2R=%m{D);%ae)Ygouul}8wP;gUU<D>r3{y2FAtPe5h0&Br8ZmM2%h|2
zde_XP0>NHe`#AOyp-pl^U$M~`jBVXjEFP&qdxdT8+lK^rcIt`TyaIs6xz{`_%X@uc
zKjC)TQyt7T1<w?Y0q6`g@GbGG!b)S@buy@eUHMgmpHXBGzv#T$w50+Pr0gH24N9Qc
z_T>8=Rui~)TR9~3g$l4etO+(|QGjWbd#NMX1ak7m9UM7TfOSTn_6I>0st9d1;Y}v6
zJj$W9uumDFa_42%VJT=7Sn8!)GJ#{GhlxW6lwfOuT&4M24BQP&Z-r5qLTxk03p+7I
z$o4#G8WSN1?)PK!EEo22Yw5uQFFWKxBQ!NRDuM@cgd$9)T1+6aF|4)DQx4|)hVLd*
zZ~%1>JA>_A6L=mbD0OX71}1L`w519#0Cb)GSZ8Pgm%6x_&-+P(SB4}-z8xiC>=)wq
zkCVZYB{NicP7=(Qk(c4#-s+R<S<Vb2Lriyk;7xxCcz?z7zajl;EH>TY-4-VqQpDdC
z$x?}dSVQU4*8PK+J$7evHw&QMi(=uLu`r}JKl@sr`Wh1$&CaRT1bBSpu4U^}0qEQO
z)##<(jIXqe#)aI)!2gT)<04f)Xvx#tPZH|I*%Gyt4we{$oNsg(^%OT8Ux}#^2^+yP
zl&&Vb^&3IyeA|d@2PfdHCx~n&<M`7zM-ZYn0_EL7eb-KQSQra0_&h(3vxMHXoHQ_m
zmGHp*H%_vESntx=@#JxQV_JoRGspm9WMgW>O&KAheDe{H-x#hlt;c0vsSj(Z_dIsO
z=wRYa+ee3s!??+@Fa5sTdT`RfO?ZQr1`bO;dNwKBk9)cqM>?D9!H#j4&Q>2Ke50M~
zT(;=OlV~XMjz_xC9@sHkG4>B5RNn0GC49k$9~(O*&g+1&wnkEa>^A1i<#_3(Ydy|+
zW8;FG#a`ZAtX8rt*uail&VHKFT!KH@OEyeJ+8`Dswi!TN!^~H_c2s^RVOct}o;F<C
zpgJIxWzV~Uy|}iM_kg1Yi%TajQHN<kQcDae%W?_h`DiqM)4BySX5)Fe{#z3mdMqg?
zIu<a`QLWSR|8-!^|M8pAIcvfx!7oqGKAy*n%u<>^zV5+J`0yk!bZUT$VO>xt%wf49
z+q&Z42eBKQ3;#wAYk<_8GhJ!*3>L&%?sg@54C__;sOkNY1Zg#qRJ9MMv3&<wXM6;H
zV3~_mWyyy~Kx#k!>U_svOxHfJXRY)n_Bn#$w&_<Qyvt?I9d`bUJsTDBDmyxb{SN>D
z|Nj)2cRbbq7su^!ZQ1kUy7qOiy+6nPMny!ZC^XR4ASG0akgUka%1D_R74Ex?RAv!H
zgh=+@<LCGP`;YT}KhAkQpYMZrJtcJfFa>;uOxK=jOkh=qoeq?<PhdW$bjQ1g$WVLK
z^w2^339Piu$NSFDDU4m`LsHTuGNjWoF!sEjz?93kY=S*zF+IhIws?9n@PBGKCFD4X
zX+~n})su6Wci*9uK#D5h+1SWi8dI37+1|v@5erzk$S_{Oodj1{mB&16r!mTbxX=pA
zCG4WU$-?hM6~Ns?mE3tV7`G00@+YYktnjNU<y)6B2t7<YY?n5Rr5U`fkCt4+*bmh0
zj0!1(uH5zizTBU~4u2nI9W~#;ysuvH7I#+yyqqN0lgIPecu`8>deRogWcT~}?Gi<h
z-uiC_Y8J4SnPmAAZW_2!|NNFDvm&&2e$08tzJ%2(4xZ$?L<>$;T{R*e3Q+51Qs5r4
zjOC|fA9S3fgV!exA5CtM2ZpAfH#hOC7@g(yLFRY{D0+9Y`X@;qq;*P`YbMq(y_raX
zSvMwdvFCLmJd=aJ!NY+EMmI3A>zqPLjx4~brL6r!Kn~sq)J!$=ZDVQfYe?}X4n&R&
zF8d}B;UI}GVBC-f?jEDje)pXnmijY3MoJK&mfq3BB$^h6n6_6LeYha>8#DH&NEWU{
zo&#eBdQi^LwB0Mo1Gv`nHpi`H0Z2~4G^q>_d*=@^vw#;0eh&mo%oAY4;A`&SF(!DD
zVMWeA#s{*OS=0TV6M)6Tzbnd$1>6?CIHc+bK%P(j3ioLOtQIfFtewI^`;!lzU6>H`
zhzvOm=n$Y_N{HrgB|F${Zq*fD6M_536@Fvl1lU*q`G^p3fp1WS#g*S;z+hn(NH0i$
zb3-}CGju$_PIy?Z7bFSa_r2Z@Rv^Gntv>s*P+sVdz;Qb%OF>j%_V!CB0-OnGrms}t
zgO*tX<Ee6Kcw92sE}c(+^W&V`X6yXG#*CjlevAO|?-epJye!1cuf_OH3ql?>j~XOR
zgn=1hGsSvYI8@!vEX*zf<EAEI5)AV2({-x3Cz%M3;}!F~4v7KbaUadQ9R+ZERFcPB
zBnPu!4(CjMlz=9-=il)>%3#wmF)YfY05$cV$!ukKxN$m0d7eT7#gW30zxj$_B3LLI
zARrB`epi*AD3f7Hn1$6mOBsj*d&%w*GLZH*^T{zo3hW!F$qHO2f#)OnUvGJ2VWlYA
zBE(b;EW<)v^n1xb!*iS&pGkxi@13Yqn(B}}OJm-6P7Rz{JBt&v<>9mmpV|v%4XErI
zp_9_o0EI*U+E0E~fL|gz@wZ-SfbHT2eIH2+#4LkPvK~|dweHR#3t>&@^$Z{hI_Q9>
zs)MBsQig-$m!xwHHDS2DX5ZgbJ+KaN|5Ct4f@<6E+MS%5aKohO3)hAL*hPnYZj)67
z7CCz_?5+l!DQOxsalwF-rBV*jkfGT_`o7{*bvWiBbD8-Yz@f4vrGtCP(9N&gxo)Qh
z?K&rV(6BK)yFQm&c$y4X22;X*RFXlktu}|$X#(f&T-uIvB1467)q{p&6>ta^d{g(-
z6gFn+EZaoLAba7AMoNqV6!YeFr;^Q}Gm&Ai%~cgbaep^&o5=zn(X+}l#tiiK{ClFN
zPJ;WkH9W_b@sOKbC^A4bgHIF3vuSFS;YRgWub^CE7(7#+J5g;0Zkk-<7^@P{{#kLK
z+2Mh&6aJ#t9+^Q(cj2o9q5}Nhx_%?kh6(Q6u}+Y{%%F%rqF9_D2aKM_-?vUKV)*te
zG6J2ZFow4rILy5}XFZ2)T3-}nvezRm%p6TYtnp0YnN?}{p!eg{n&mWg?LqGGSIs71
zl_N-w`HKgGJwuNlj%`rWw{{XG3{7DDo?hNmi#XV33Aq-1qeCvqoLBi@8pH3-5|ZqO
zFeLstD;;r$3EiD%!oG?b!yA_Z{i@>v@Fvu6f71jDs%`ldapy6Bpy#ag7Q-G$jl5!^
z9g9PPX6H3;vH_$rd^jEWoeQQVZ`pW1VnYYT(!PHcz(8NtQZ!v22Qo>Aol9}-h%9?+
zl2OJ8vQHjuklAJc^)e#!tUNoi(feL>Qr{3Z4R0=v9;5-m<KzB+nAy?Gxw8$Y-3;K2
zLQb5w?kW~{ez?Dh%7(032gGcn^x=2}X=biq7BeFs`OM(ShWIapcG`T@g9Bj-Y0@3T
zSl=7P#eei{=$MX!OA@Od^bvLnPyK4e%6i{KpDMti)8DgW&mPhRKAwT_JAbRF9V=Gv
zay)Rzxdb~Yo~r}qouNHD**~a-P5(AB)N!b$wd9%rtq#CRTe*s;5vo?BeO??Mhp68=
z;(wgb28&oN1<9*Z)M)d`L#IeM<mMdrZo5ef{*}%(C)m$ZSNrel?6~33&FWbXH7zZ;
z$=`f}BXfy5=YK9WsuG8k67mbx^EDwfxOn#B>s4y%WsQsVT5M=+#xnM+lqTREX<OtH
zH>k~8=fCdsv!R_wdWWW;X@G;2!rUY0ZR*;M(PLLi*wMCQ<$qUXG~gijRWH^M8gyK{
z^uA>g2a?cXV{v<_4p-Q$r6f9Nk-{jSL+%ewl;LB$R<5TGth#C!{z=dyZlQvgQ$pP6
zu!EaLWUCrT1j_rZUSL218|laL`nZvu&pL_ej2f^dNO?vzF(P!)d8ECH2Z>&wR@pGC
z!9}*-zeUQ-==bFF>V1X0Xfq(CD)%J?{_yAbsHC%?SC^H&g=_bq6q#PNqfQi<oQu6(
zNW>w=lCSDk|M<|tbSGyEjsgc#bv(-J*wCtQU<y4&015tjA#%Q+3=3-q4f1brAghJ^
zGglG>QR8=i=TG;@;Nm(!?LNST2sVigUqpma%^T*}U>h=IC61kYm%)v$*a~qeQ$<km
zhPHr%G#Tt#mHj$i@gM<F+UTUaV(10E1j%??6~c$Zs+C)KQMJmGfImJGD9EakwZ26a
z8gZ#qZCXC`XSg}DQ4f#M59)u{%2i>S<QHaa&5xu6a&$UurI4Peg5}>zRXFc1>gW4X
z08P~`-S~1{8u?es1TA)}!sV&(;yPI&r25{|h^0sdy_adb>d8)q?D%W1hbx5<4}WTy
z;}QX>7D~`f8j;~pH>E()LlgxBPn-PykBEvzjyZYl-q-Y7H*<iTI69wv%!)Br4ry2X
zUj8&l29$r{tPF!BlD~BOpa#1FIx|D>LF-6?*d*VOUjcaZJ4C;}&Q}qwE~wpJ7^XmI
zZzI>%Z7DR%{mY}ZTM6BFm7qBssRrckV-`&j(x_6fwo!<pf@+&o1RvS&_D|D!`R!*i
zXmZ8j8PjzVy5Ppne^Xln0;NN>N-GGc)cdby-ZNFCXC*gjs;dd<j!(}Swa6lCRg>~X
z8#3CQ`A?DGNee2X;&}`Qh-e3kN?R%?qnf%XwSSMbfswU!BJ!^sdcG}%ecT`;9|3FH
z{lhvSI=}PU`?oy$QfHN(C`v)D{!0>imU_^3TfZZ+P5~K(irMbtrXY_E-M_d>eYh~S
zU;JFSB3ik{OS92MM%QlRSmG58!O@jh{{cw}^`_aiT=gcS;xFtbmlKWPI(=_(W4;pl
zrBKY~ldOs!38lsRFJo}iqmkObtb{@uv2HU45=x8kwW6c~xPBFGe9NPZj@Ud}G!s@v
zA-SY*V-;h_*ypU?v7&^8<p<3^jwzsGhlL``Tw};#8aMUGQ$pBq!n20Ea%lGVn|M6S
zZa#~AH%cNXp*SnK<QufI$Z$IH)5v}kps(8-c>RJRG7t^E{>fJwoh;=)#pq`OZQif6
zUqvdQ*~<bk`vxQt*PM&9=6w^m_G8T7^qxE-^Gsbh$03S1vbS6;ZkfO<e>AUkOb%K6
z)eX*%5<nBu!F<1ungHKbokbRLB7zE$X%0VLWOvphSxvzNvOK@n**6mq3sX_?t5+O|
z^4ys_f5aGAY2~JTF3X_3zfHc=yECJA&9a#}@y3umQZ>sbAdR9Q5pUMB)1mxNURUi6
zjKL-Kui(BKJjyan&FQt=pw=oqrv&r?aK0TkxBDr9=<gZ-)lpfbUUqQV4DbWMJyy)g
zwiiRRWeql$jHamLGtS*6yZ~Y+RfsfG!pLtqP~5Tq4^>R<vQCyG2HgLORD}uzk@`yQ
zYqpAC)S|wf_V_R(Ahb^~aX;oqMj~x}RwZ537avYG(^3tg#fIOiIDHSQcT2w4L*GHo
zmX0~Vx@rJdQ#P%i{p3M!Z*&kY$+uGXRCEx%G!4K?z0xhwh#Ngi^mtZX*-EWBH;a$C
zt`Edg%^9O79LUnC&Enqa4k~+DvPf;M9t<b0?{TAHLz#)ceD8hlq*B89ztgbkf$;hA
zjfU4OD8{_t(mm%NRM~|GV~39FLgbjnq*5^xQmG1a=`8N2%FwRcKQGk*nyVAujMEHg
zTG?>L#$kx+trzLj$+6r2a^GZ1yy#I~q?SW`^a%CnRmZ33oHjhL@|H-EphHPF+#Dh{
z$Ef&Bu2{>jT2K>i6?Tk;7FoZoJ2(4ilInD`+37!hEpQH7@c1H4gOWa!IzN@3rCzzE
zd?Pzg6Ff{N{CPXKsS$o=*B065sdQQN^&p}NlSR)kLirZ8Z$L6rgn5xl5NCMC7_9*U
zroWEf8rq~XR4mtM@-9=)3j8q~VATMgQQVzq$4%;z5XY(md6oKkJhh_czB;_0;Yo;P
z-=u!X41@!o>(ohmC*gQjb=VV2BnQ%LQoB`FUOXw;q~3hf@c7sxHCP(e9%EG9q{@cJ
zzSS4op^7SwChrkegHo>^m8AGh>e-vE2i!Yp(5tvCyQ&-t+-xPfJF9I`E8^a23X|wi
zD~<cFgF3tUmTO<c$FNO}-R3b_Po+mP101xIEo6AjY_NmjcBlrmED{SuMl@-t`y+AJ
zBX!nvU-<35&u7mXI=N;hG|g^Zdx>$^pGk3t&;6u9CvbS#nP?U?ca^q=Y@-UL=I=jd
zzM@5ed`r>2emGPrIe@>ILV}15+Xu|4bZBc&#!lINcElWfp@nln1wOxXg0K1Xh>1s4
z(eFJcs>bVy#@VaDtNW*=g1Q)x`xA>G)p%}nnL=89UaJhwy!RcyNim`1*cle@VIK5y
z|2zYyrZRj~lhp5sW=1~YuL*DV??ESyqy<wemB4rO01qOtBD1jc>$kr1Av~{<Sihwb
z><f|qA@duDcJz0eWr76Ic<_h9hEYXOUej!Q)4+~2*g7jj_6woSEY>;R1Vym6r><P;
z;Y22<x;pAG5wt4f&G+iCBGh)-td~Y|qhZEVSKM60ka7lr*sh`o^#b}LqfNW@eZ65f
zmnMP!==_)y6jg+Dvrz?K$vsGF^C>0jJ{}!3x-b?ltq4y$opKgq_)vC3JJ))b6k<JF
zYo2YX2zUGU{+lKUAc?)EVZZfc(B`XsR!5^0fp|14@ZEPo6x%53)>}?MA^RTuP~K34
z(^A5z=ktY;&QyJJvpEqRY@H@>$0|VzA+54JRTQmljCbXY$ss9QdDCl0l;Ov!hGt=z
zIMO~jWv!dM%MJFm5)~H}C|RY+E*qCbtGz3Cx}B8JauZ=hH=YDMrA5zU@KVS%TAPC?
zs)7QC50Lh<lHqJ?^cs(gH0m#`D{1~gLbDxJ`-djT@P2c7&+}bAzMgwAjW;Kw)2SCk
z-!4*sOHAQ8WtxCat&ZO4=Axh*`hku|WYyvD=4oP_F%fYTnx_XfP>@fJc?B_01H^8!
z(uBszq1qSw8dHy{p$LBI_2Df|;G-q<Ki=h_Z*r(1XPX*gSm5VBn4t})&qWl7OYCxe
zer+h0TOD!r*WIGJ>w<{S*vH3aN=V{#nOeB8I&zm@)a%mK2c~<g30YRk2==e0H4dqv
zYt5rh;i87{X-RFZfvAGU)T$XHPOG6NoxJP*>qan0IdZeQO$E9AcY*DE4h6+WUc1!f
z0r2;y+Zzi*66%tkytbM_Mwd3b?4xy!K~>49zvB!EMM#dI{`Vx*&@I2pzhVpytOLtJ
z2S|v{8D8-9DIwdN^@e}rP2gJ#hg0%|3bNdp<g+f6N0qvw^oBg9!2CS&U#E!*Vh(dn
zV04m2Qp}YVXHJ=d7ro|V6(?mhvgP$4Wlah#`$+U{#+ia#_{&=vYD%afo7FheT^zmg
zs!K0OGllF3OBHgj0@^rGck2s95XEJ*#gB%XLbYUYg8Wf=6jfHhA^d;`rRSaUb+j{u
z+Wn*nA4Eif?U}bEc32Sm*z^4sOr{Wi{u_HOuPl-+0>elv8gyT`>4Qj~3H0}BglHU-
zL7xZc9t2I!Q5(+QZW}Q$fl;s9{mpq&=nUhXxX+p0RMJ2|xWp%82y(P?bXu20c-jzp
ziNh_}USib009#|YZZcfW^j-`V&+U&|mKnv8PlkI<b^+)<Sap*r5=PeT*+zCxW-;}L
zgDROv0Mbt6E%<#AKrylUUjjlGvE}`iA&!k01Rh^H=Ox02{(CZN7bCZVy)M_1m*_Qu
zo=%e?i!>gT$Tyl7UcHJ*gehh8EE~d41{v|=MVx4V*7obx+iTd_SN02XB8I>k$|~{g
zAr7&9Se|akTEkSwDP>@807t_7%3NESkR?BT`Ig-p)>OSGozriZk31unRxi;bJ)MS6
zWyPzQ$y$rQZK)pAow_^`agheK$Khh)f2?4*b1!vXF6ctekAyoPLpP{#i+!)-{w!m|
zw%R;3`nnKN#<?-jxJ<oka=Wp5cnQM}59W)7>j3HJ-7N9gd1~%Mt=g?Wi<o%x3OduT
z4W@5>-t@hlqW0$5B>b6Q!2V0Eva-<82DY9ihRfu?RGe%a3FBYDOhZ(=-JfW|-H3Z3
zqUQ#w&qiVfUmTpra>2gu%7!KcnAFkpm-J9&M>jG!U(R8Z>z^F-JvD(V9jEyCVjH!H
z`>PI}+#J^U&Xe_4hX#lnH(d`DqEh9SB9aL8vsl=M;&WzG4Ity$`WhobsU@qk$2{)N
zVoWsQJ%v^3P%f_&|1+=xTTwfFS@X;+_O&zarnQ<n=zkoFD=KKjd~8PgK3|x{PNy$)
zy)9CM-akoxIpOWt@KNFk_2gMh+lzPU7g-H7{!Kj*aO%P)ZH8iRjn87OK3<wh<rH{U
ze-C@r^#hA-{8-<1Y!2fr$^H4wkOJuqDfFL&`mwEp<;wv}bJ&5&*iY9#kzuNMO8BbC
zAm-9_eu=Ae9-EUgbh+e2hGu8CflcvYEd1iqMfbP`Y+)re#I;Km-bnGyT1bvyDX4ik
zHFXg)>Zuktr%{DxlBYQYh<~w$0JZVGZA(~&nDd=m6cV`72ujuK{=@Wm{Nn7DR<JXN
z41O(~QGw*xMa$zSCNQ;<DOvv4tJpUBx0aNn41KRo_<qTn!cyMlCLcSyjxD*k&z&Au
zf^!Gq_dohs%znn$#P9GXhWGfsepEvVDtnGN%2~}}iH}C3H2k+QRq;0epu37dx3@__
zIBy;^PpTxXc+)_n_ciO`p9;{Kr!nU!wTMkOX&khELksj*mR&Qn72pf*PI>y9C5*lC
zvbn1wJuG*J<_tfThoruv$>Ud6us1DTSFPVOK%hmzr6C4+Anb5BojJUQ08l`$zxgb$
z42A|X!SSP)&Bm_EflGq?mBf=9n9@;=H-qO{-~)wZ>M%`&NwW`jHrZR)^UQ^NQIR;X
zvz0lJb)E<Zhzj$^*=ayb$S{O3#18i^PEUHT$by<;?1ZH!EtH9b-OISd1&<Dts(6LT
zg7VC}Tcdq+P<!RZ@M}B|96E(h50#Y#+xO&(yZ#K|VlJ=w|9xzoK<JZ!W&*57xy}?A
zGJz=F_S^iUe85+z|GOoK04$=yDe@{T!2a2~h)!Doq#Sa17flH8sO^U&ZXXVO?8=6>
z4TZpeMI*<Gp8yicQDe{2*nvaFPJQi)2)Mly`c7Jx0mrhtHJ25*z<#xm&tO0d_TI6z
z_Fa^LP+vyhlvQrXJ;dGr>$W764TSH%%uE0xk^K6^EnavU<3IdSSqiKh+otf^1W4I7
z6TBqL2j6P{?jco5!`6u(a?%e7U~qhsB(cB`n=^`Zd2R$)qual)XNLf*HnE)%V}dZ1
zclrk-kqF#&rb3sqW#L|2@RbN=5#UYnbP;8hhkb!F=`%NpFsH}4bNZkdaLNg;c`+%1
z_?Pt@;m2}78jrr4*C+uRL*5MUgq2}iKZM!ypFHgEqh9nZ!^6M@+RXw35@@$MGnDRn
z2><ii!AU`B(9`tt6ILg~%Hb8yxiDo2xGNmQ_DBYTq+*DB%qj3e?`}!ZFbTr1^KDk~
z%L0Bx_V~GdYT*1ZlS`?C3>&VSCnIu+z(FbZ^2gLcuw|k5;z>0abUIdd$4DMnUTly*
z@M?f%&h*D_k_LQZd|==ERRNM;&rZ9((Eyz{%~LaqTA;Fg%ADqi5-2!}=O@W(!oF6J
z=&;v;v2@MkS6`Ijk!jle(q2tCp&o7#_)HJ(RJ`*y79zo3&cBVZyMAAEL`*zw#{j;K
z@njuRR|P#6>!0mW8esSirr({wVDBDo%4cRW_%kX-OlI!>{~z976zu^JvBEt*V@n2k
z4_#+xXEg{}y}GdS&lr6AOIIGB-}U8qcWbwIWH>-+e{9%m0#R8{mv>yr@H4SKJGw*#
z-Wbq^+h&@A_f){rZTzlJslO~>j8uS+P#5!`jv1(a6N<MyqY6WtUt79#WI^&(P(X2#
z8AR+?Tz1zZfkgbZ6Z=Q-;GF-|iP~reJzT4-`R|pXv66l3#!X@PDSV@xq0S68%+K{3
zu_?i?7Rj$Ftvt{k9D>h|GlS2$kK@K<6(H}aY3#}nBjo0OnY1@GgNp|Eh90~eWbPSA
zH)dVLL=wztoVrcne5FKi4o((m?85f^c^8abpxgiZxsxfpc$&?9XI2^>!)6*{ouw|n
z=c%`9HG%ds->j;B;UPi%LA1@MO=_mNEUS=_34|<*yL_(@hbldvr5iwxNcoEG4__L?
zhz_@d@}Mw8DSjO`=wL!wv7he$5i<s?s^yQPnE;Fo;~A`MSy9n@znl9X11vmJta&!d
z3qeUrhZ`4g$So=(m7fh@)ANJM{RA$U4rd(qn`A?@zU_9+{20t9s}{13vO-7H)X{IA
z?1(<jHgHtR2x8QjLe9NmfErw==f@y+<T`T5(^Ah6%37b|udva;!R{a%F;{j(cusf1
z&D8*CK1=XE%U{9f&JG;G@w1}?O(lxwBlThHvIu{U@GKTg_%yLl#fAo-PNZZs>Otm{
zQ=<%dLl{r<4;vY0HZ)VSQmMeI2XuV<GYjNCV_BRI;eoVlsJ@CN$Lx?UoR@z-*{AoO
z8pLLntMCqovScsFnCI#MC0q_y%F{=^U_t8Qi^QP<&vIfstqv4-P31Cw9;JGUiwa%4
zi9;3DWKxB@HpHhw#$x$2m81Cifa>n~+RyXq@L3BOjv#m8m3gY~Wu8mK4>+V%@3uCe
ztpz!Fho@|Nm#Lo^ukH;MXG2zrPb3`*G@(3-QtRTjMqRqI9<`Ouh76;QI$k7bf^VMx
z&~?jA>cF>!8{_-gQNYp8W}Yk!SRJU&_{_0GjT-Uu36kYN(_W?<a&j6F@CFw*)K7z~
zgn)fSo)cX;%hX<2tPVF9X;Zeybchg-YqD_WLXty1CPlk>5Ei)MBpyPKPJZF2UOvK&
zz7bdVVx7C(UzOJT`keuNDc)d`k>Np4*W0v0&Z_}qlenF`Iunv~f&N80Ues$5aXOz<
z4OmD$EuG2CsH3I+y6q+}n)4rYT6#?ZclR`}%{{E>SH*393O65WOF(RuCn)gR+$=HZ
z84f))*mTap_|X{ExAq`E1zuk7;2AMyM?Eu1j%^PGP(#3fiw5mv7^GJXc(l!dN+sUo
zzAXtNtr~IzQ!E*@nzmX$_i&-AhYu#Z0)>&k?jLW*-TBY+f5rXhA2+&ouzg`dP82<G
z8(N=MBg37JSJDU8cn~S8BbaGk3>~->qh88GhLL>!Au+K%D0;Tn{nsxEq+?s)W3i$N
zLKdP%W%hh%V@H<t-&H)~{qkg_V^|dw&7651Gx$-w{$JJ6NGbICOy}ma300`K);=f2
zB#367547K}kVcb{LM~re$bc@ToLmnPLSu%#f9YprP;YTej;}Hq2%qe6w}eE{X{LB7
zW-VD1dF%w;U3W6L^$5_7Hj1LnhxBH#VMJ7xTk!JROERcA`Npn9iX(x$$u2)f<xoX*
z_F-!d3XF)HXZd+n5;62!%L!R2Aj+NP`ObS3_+;TXv{8&l4-;%oo-I^FnoT7y%!Jgy
zuRCPRyIcw_<XuB=IFu2yPSKKXqZ)j@dFkiUdufzGNnVILu7Z@}>1S7>)nWVO^>u?z
z8HC+GAT5<fLT0WPcQpJp;L;OTUyXkR#Ghp};#RGSHgCLJ9}3*fdmf)M!7W+z+4(1*
zfD;)#x){_tpRNT*?>Us8WRpWVM>=JHRgh8LmxQlEzqFz1nY`9NPI>gq^>JX#A{l9(
zvi40<)rIvI*8A<W3W)zfLP#PT1?3s}Zpg*z!T$gN0RR6Cm-j!_4HU=il|7QZ=f%C3
zYme`-DoIAlcoYqxj8vi|QfX3@J<^g9nnud^Xo!Z4%v6Yyy(y!|KX86H=e$1e&zmwC
z@~-`>1}<KUu92Rn;e)V}Lw!tUu;*d+&$uj2Jpb+HblPJYRvdir=Ey;FP}(8N7Hdes
zjixfZP6Q2CngiDC@34SPIc-}8^C{?5v|BYmpNhGP=0@Aa0V;DFc2o{iu%e`w$u3bF
zhjwo0OMU{d7+Bn8utdQL%Pj{#XHn4dTI|csge8nyDQ6jUP>|z~TKmjC4OCcb%aQol
z63o9J;_!^7V8l+Y_5I9hnEUnR@6-HNpwyG$uQ;uV6}pn$b*GfEKP@Hl%oZz9G&uC;
zn}H@?FJbXlSX98*y;Nm5Yz3p<BD`Ua8ra7l9(0^V4o7Mpb=`<sox?#H=d)JFj1O9+
zzw9LO(U(KksUcPn!!JN7S*M0S%4Fwae~DqdPSMTp_EvCJ&^5fiT?IYDwK9vxgz(PQ
z*XIhwtl(UL_w}xG%Gj~H%gDWr7gyvzhq^Ud!pswGKW>^5S_ODhb6#;^#v!K?MzkfU
zw(FGlw<%z(%9}j7+srs}Eop<3iY2gk>?oth%Hs*=M<R(We@P{~m!h6;0P-74EN%wL
zV&fO>+djNAWY0X?zT{m1F?BCP{U)Ul`ab<Ny*x@rmDg`AnJ3`+`n!MXlO@nEqlcMx
zcYyR)5-*dW5MXT)S)}DHj<Vt#)V(=+NM4gIL5bcLAnX?J9O@*7u{pk3Y4<xwbqDvS
zxhdvwLGbu*tpg&+y?AKu@|n-%6V9YPZcSz&ZI{jYy;KO9UX2!bFtw1(6_0QG3Yx+B
zO<JfXD~JLA?otlrw2)qEr{ox}rf{d2eeZMtAKtN((9xM_CF63BGA(48fKOjfcKiSj
zzRV$OxY9exx!L`#FNcg_(`WvZTZ*`FZ2O)$dxvl2k$7)RFgJ!N5!TByWgK{Vm)D@d
zU@v*u@Ob2gWFt7zzTC;e#*WSX{$=<6^pp4V6h1Xh8iHq~$LEoFR=gqcG>@<wBvUy>
z)~wlT2%33Cl}1i1`21e#nBBW!GP;~#X{#`RA6Z??>Fb%Xbm+0swj<-DyyKZ^VI>1F
zSS#Dk7Q}>BncalV%}KI6I`{G2M12@=nX-zA{zpc;4Jw^WpC<3@cJT;f(}%^S*RD^G
zu8^;vyH0GnJxfx<nX>{T8KA~oS@N)Qnaq=#!WnX&B)8JIj?d|Vd0+aBto1U<-@X3*
z`^i6~?%*rMt6_TJW|G1m%D+tN7@x>%GhHH!&X-)iyPyke@)yr^i!YON!FL#VbA|k3
zYN7WuS{HKnE4_B{S|%wSZ&P}&F=1^&b#gV2E|k@B3Pp7;lkZ~63mkqk;}pwp)!KAA
z@DH_rD2rbqIrPmQz1Yf%=H?-vTD9mPYTFRQ8S#&_jd*#OwT%rA?utxVeno@N_D9e1
zZ)QUGqhC*`9p=D52l+5pZyIb&z9XVE&xGt}TyFd8aA9o0z9&=5ROq<&u&V3@GsatO
zQ8!z|gH`_}*Q>9mLg;Ve{KZ@ryxNu`w1tlsok!RzAEfHQfmlV$f?QTSll|A|lo3B}
z`K9-rYg!u)C^J%hNj7x#ItAey1+g$GFZzSKHXMy)b$4H3N0l|-Ekoml@biSum5O>T
z80~z2Y^OITZqoNV8aOJ9_CAZ257%pfug3T4lzuLhGE9VL`$h5NvCScMjTBhpH=MEa
zDi4+=lsZ&$uEoxl_70l>3Pf-n8g}sI#gAsT4j*d8u`bQpt5ApnVXyYg(f09UgOc8p
z&4m(p{gD{gtM{6)kauI{-zGtnkn%YY@k9#M_ogr8r)xrKOZ%(ekwTa;uq5d5O9s=1
zGHV*6G=Xc3PTBuf7&A<Bvz!&>k@_cpQ6y3mYII$`2vbGz`$^sDH~SP&`QO@2Ro68k
zWvanr?-Mc1z1XQ@SEGn6_C>964Vti$x|31mE{+GaU(ILJmGMK*0zTHFz=KGhH-<72
zc-KA_d&*Ssm8Z*@rN<O-?ypO{!6LP~AKHU$j%wKY#>+1;KnnzJs&6;smO-;=ZXxP|
zI+holj$+@c4YZd#m#)*~aOqhHZZ6iuEkBl?P>$+=W#{!9PpagRT_xewyuTI>?&@j%
z)<K1*)a%c4M-?!+m)-b=k`Ag)D#yAZ4W#R99x7-lVR?Tq(~TA?Lbv{yVI>`;_Fqsr
zd_);{{--FIP)5W3qD_3w9lD_Uvh!X0OBGzVRnv_%l#bbbb02@mF+e4lk`X1WhKZ?k
zPE8?Q)Y<aYi;UL?^;)7jXootw=)F2@m7t3Sf5WrB${9l7=998lvNZ6@ypfOfcU=tQ
zX7olh83B$q_P%_piJP5HJd0e^#i<HTN$X4#U<@DgRcNE2B2m}t{Y4k;^6%~0a@Y)7
zhR^!{SFMGwK3j)|9@9nXH$lS|4i+%LTIXsJu8qEP)R#&vbnKCgayY;TkVQQ;wsk=p
zpBd{B$-im%f$42(@J|4vGj>4<COVj7aiw|SG!^Rv>`<f760RJjPYoOC;QT^N``dR~
z`1V3t>438p<knrv{xhMC!LxsQzo7=+xN@ptdxsU|9W(qSzegLdZPJ`+J*|qLm*y2D
zO{}4$PBrI2k`}5~8A==IDdF+>9oe&C)-Y1>@MG>-3Rd&4J;V7$4y%QJ#xz~FhHQhj
zWN{l!e9yP_y>F%j+PYY?96V(WQG8VvZ`##SzK@W()hvS6!}?jXZq_g(pm18-UJcu<
z5~-Ul`0!lyW#9kAtigm?l$gt3<zuAFUse@1)cwVNrN7z=`ffaz-?FHLg|sVv+3yy}
zDNb+ILJuntym9=;QF}#v=igJJ+VhJPxhQ#h!;mE?MQ>(=-;~EeZJB*^rb^O=e%!U-
zh$VaxsLt-^ltoqE+ja-+x(MH59l6Ct0Cla;T^19PnCsq5*&g|uIDE~&yeJj`3wGx`
zVqJ%vYw1%Zrjtb1SjL4I9)SC;Ien2E#PD9}`G%dYGlY3C_n40c0ah`J%%#=BIKE?1
z|M8|dqU5Je60?m3n3X%uB<>f)z3H91KYGp+KO^^;*7%wOcNoX7-^sk#yP<oVdgVMZ
z=gObLe8miQe&KNEdBKHi0?x$7Ce0I!g&SWQNK^0^H>7B<XUCeuV<r~7^TcM}8ncyo
z6X@jETl<#6g6z|gbsV;HgucF9gpHvI{HnkHp7YZR>C(eEld^4=*i|z7!#2toN~j!@
z#sh!Ig~#vN;+$uQd(Y(8->f%+&;{Rc)628uaHX%0*v4ssz2e4;IVmGhz}Y%l*(B*G
z$@cZ9%@o1#-`zBP*bqKEm~3JcjgY(#tzYChO%i2S@5O328Gu6<RY0=pC+T96cPA%w
zf*6k&<_py`fVt6a0VSt<$?9JI!~pkkg4k5kaX3RC{3HU2UEQ4|Wq*tH1CB9bz4DQt
zf7$iH)%K`2^?egL8KU;6Y;uH<mh2R44r74vg+Z>Jo^MDCR<80GsS)C1V}SPi-+I6m
zMk~h?4@vFtt(v1}h6&oByWxvndhj8nz4-3%H9}`9&{s-ln0UyYcKP&IU8p@3@w-B$
zk~nGYv+Kp$VM0(j%Vyb27f!WI<M7ir#6bR!TOJm}gomrlZQdR_6mrT|UKeX1-keEo
zjJ`8WO!9f<rR<|ac&hCe@v&wi`dwDU)W#9Q@&{*W>;w&hb=01+q_q+6M-Cd+QAUZU
zza5EZQ8b8p=XZHnqKnw#(ybilFh=ORW;Cet(_kH!#i56%zY=fsZ>Z>(juVBZuHNC+
zRLE*xDq9HcAu>mL(70fN=$`23e|=B~j5G7%6qNgjo-cFLHCdAct8+`9#2sz;uy}i-
z;@b~m@cF0x#gC_mEkP;EJHBecHiOiq&U*ud8RdIg>-aR0^0<mGQd$fCT$gzpeD)Wy
zG01q=v8}U2a@On)?_CsVRW28^i~3D8pNKnc-8)Bg`JcbEQltr|_qw(jCl3?OiaMdr
zSqp^5m%WS5OB%pC{N=e?%P0}$Hu~7){9nRAtF_$2MFV`2{L_<UCkWTz^DGhtO9XYr
zCsw9J9a5@nf4&TyB-)wdL=sv55i`T*lu88DVfLBKvt#X3L_aYk9^AkLQXU3uYT;_|
z@4t*^mb+(&YDFK@0CN^lJbOg$LBA>tT+V(yAUH?tla=ZC+r$cTGtE0<+*KjZ`u54l
zU-N|Ol7dn76?VwsiVx{&R)Kr|ls`d3e~7j->?tM3IibpSlZB3}3N)S-c0Dh<L{v2W
z^3Y1<2D(avNN=|?>~alsV!E(GP(xJjFb}PPFXm5D6M~ds&6QavOl5*M2L;l7Bluyw
z-uwLohcXPMJ^N3Bmjy(4zqhX37K9Ba4QZnVN-#?2dHdrIE3A|g6G2pA5ZHTlW44<T
zq&`WGAbr`P#+uvZd9Mgm`|Qkf7gB=tL622ZTsR@4ypFoHS_}kA{hwinB0MNLH<B5`
z4U<C`wX5sI;lu^G#D-EuczE%FlS9oKc$3l8m%%0p>!fEg`_dFab(-m7z-E4UWtkHY
z6DAGM?gw6MOHl;D9|GT}FA4&abhUrCtQ>eKZQ~FsR)lJQ%fdrK!mu+k(y*6V0qQGc
zJ2Sp3!t`aMOSaENAZ(y*(Dj-k%yed7VCX3UYw{M^>3A_vio4i)(MA~#S-x-DU#tW*
z{;>-k=fy#I!Es%pm@357Hn`k#RfZNx_e_pb2~d*zw(S_ZI*4RurW?~#fG%b2#mgcM
z-5OU_R)jR+PD1wwmyN10e!y;~DpnTGc=b`&8fpRUqpbDFT{U=DaNaX8O&+G!Yos0x
z)&Yk4{gH&#e>;BVgw%iRir{tYJ^xuZ8oWI8+G*U40@jU}nD@jffpJL*jd7F?e;N5H
zPNX*Moh$orX`KoTSjM=~F6n|wv+Ru1MjF`t+;1CDt_rsk(iS~0>w&_Zoonw6(xL6#
zS><job+FE&%%=x2z>?2nr%%ml4<B<d>1EOcnVmZ4RTcE1%Iw%0&qjTC=AzztBAo*7
zMZcdgO4Emyx;;EE1dM=8lviw#)P|f}i?3x~>qDl2rQP~46JQgLsErEOfxv9`x6f1c
z!JTVu*WjcX^m|b^Q*KhBBzb{%54S#Sf1t6%c8Gw#w9vZOHZ-u>9dtQIlmVV1KgQ_e
z0PJ<DWo3ypSQt{7#424F%-Jl<DqsbjOriVMJfgvar~5A4<f4O0_L6}kuQe1sI}k~`
zMS~|MJANgt(*fVG-Qfk@))0_xr}5c`26&_NQtvYjFuD^EoD*RKj}xxz8-AmLO5LSM
z4lNZp2pQ5ByKSKV52`8L)B$hamj<r6^02u@!Mv5r78=$baY_=?hFQI?O9S!i;FHv{
zRuZ!<eEr*M_SB97ykoxvsFwu6|8l5j=0_Wdmx&kK<Ddaw!&#>LI#^)nMT^A2FdKNq
zM0aVWsljfAD%q2PLj>(ax}Ok>4Y;;B6rN>O0r|D}*@a8H$r0AI?m{Q5q4q(Eo?D9|
zh)#IF+LAp_zK;GCH$G$q#W$NL1n<j(e7fz8CKDD6_WK2IT&>`GZ~5!>Ix^sL%J-Is
z2q%8aXkOB*wgge#6n0lb3HW_2<xx@!51PDm&OW7S31u$Z)wQF<AjecN#*>8)e+rR2
z4VeJ_qxb!W*oA>B=xLwZReqd(<lW>f0&qC^cHC$_9~Al>^8S5T0QnL+^7NGmnD}0<
z?bFN&Yq@#aojL{Z&VyK<SZxdN{x_-g=gexJF!ozN8W6yHE8X`LY|Y_(z~dT|uth>+
z_~^c?<pK!OM?JO&n1QoI-21I<Q-q+2ebog&0c=VRuQW<G1wST+MIqxS(M#~%*5Vex
zL09XQwiXju4%y7_`M8m2E4}!-zK9>CZ41LUt}}s*&szge86z1gCGx}IKYkp_Pyblq
zYYbZUp&`qj-^k0HvmKH0{CG2r>uOMy5$rj@V_2;9o21?l9`Iw~M`KP+;ktE3;36us
z>88Xa`8A83MUaCZ*;E|ZZKDjq)h<%ZQg4>5rP^B<QTefnU8n2#paBGb32ZE#Ss-I~
zL|-V3;m1SgQZvLo4d8HdlBizr66se{5)rk;kNF!nmwao|hsJtO?XM;O$h+Lt?hbbZ
zQ2nTXQ=X$fw4G^cwBOB)>esUypO^_EU(Sm??kx;>oMp(6{KkSYrMuRjs20SKfRoB2
zUJRJG{Q9)Ui48Y(oKoX<7s9pTQ$G7g^gzZ-&-5wDju)QzTpHpQ#(<RQ<e^h~kWzV;
z{U4PRsj;cMD?bY(wRZQ3YchJElOQp-IgbmGecLJNN)as14n3Vou6lHZC}l~N2b)C?
z@x3b-MK#Xwn|A)Xz;!6~yi(a3{Pv#e7uO_)2TTP{&xz}TYmwc@EH^$pCMXss&nb@7
zeJkwzpXkuMhiqFTAb{&W>*O8qScj~w$_s)CbjUlI(LEU=h!-zPup87%;GNn(Yf`t-
z;kMcA?I-($uuMVA#mr3#cSbpnJE_uP)_s$cN02a9$SiqEu*u+>=Ia4G%ye)XTF7xe
zD}qaZ?fmGCvPkp$`rrMZH2BLI!7^1Uiq%urt{-;D<Cps^Ar>90`LgG{+kr7L^yhXJ
z_`6#H`_vZH2is`yFVJtg#!?)kCL(n;!xa(t$FG_EL4%*IVvlMH*P&B~G27X6B_y0H
ztw<(1Z0A-k9n+A+#6|vxm37Kk@nLe~XB|55SC;HLL`vb?+bNcPEUK6@T3cHiLWi8%
z%qg}5GRTzJ@91l*hNqZhJ{!HELw%BAXEQ|(eNx05+b*l)JFk~T^)y{rHocudjgiMI
z%r-(@pEZ!ahpC78i7up_eQ}X~SOKkyugGz&qhRGzZwq55JxEiz7{5J85oKSgcYbr!
z!t?nfKf*W|FgX0oG$v39w@&fvS0B;FhLmmDHth@u$}|4H6r_xmjC=IIQ98KSi<W!o
zr9OyOaP>w7tKjEXaT~dIQ?c@3@}kFE1F+wHOH6FPDqdZnxcaT3VdwZGEdOB$E=yH+
zO}*4`Pm^>JuN@6%O>GKKh#JF|5jCd)LLD~|kM2qO(y-a#NETz83B;~<Hn}CBfx<;E
zzHa-EhCEL^7?QcB@Hyr4?#4G77-_-OaZa6vrylfcQ^(AJ(_@9T+e;H&|6Et8Pp0BR
zub)DMp#@0JdHufhNfWI%nx3vXqk|PHMsK|i6R_+09&=X-3ew*vd~Z?E#`@gonQNN?
zJY#hg^9?9yn5J3(^9TjA-q${NXk7Ivbsq^!6$*N8e^7tpf(EvE7QMH&v;=kk|6I5B
zYoeD)dclKWHN3-nN;N;r609}5s_z}q#1H3A1UE8N@ZY<!n0q~zkas2FRceO@3WldA
zpBh!fA#0tv7+x#LC=C5FB%*<P4}AaisX!jvS9WN{%3DGIvwr>ziaNf(T%+zYC5;nT
zY&nKxtRSst?o*748lHQX-el9X4lQOIIV(7<AX?kPhmA`W*-xD8+s-D2LmA(P4t})+
zhgzkzRh`OsCaWN1Q@RjJan+jl-m!$ox1OGsx~YWEI9&%KsC+oB*Bv+DZ3(A-b(k6N
zRm2~E?&sIDa$%bN^rD%NC4A_Y+L@%TfKJy9+hvMav3swMdO#Hb&Af~6>wp{zO`diB
zPm&2EFCUK1@Bz3@TUN?SkioGE!JNCN|B}64iw5~D0J#_5={7h^;Tz`4R!iAAGJSsb
ziNbmUl=>bX^<+q(fGYP;_}3}2d!(?MInDwcY0^wDjm2>~@)7%%j0ti%=Wt+UtvNhu
zJI}XquNYoV{Jh@8dyKq}Ef3SU%^^5%K}YVX2vVeH9{A0TkQc&>Ud20_L8?$(bgGsx
zUTKi8UVc78W>DA1nyhkUndi2>{X0QSYHg9uj~XSd?*5hI{AIH0;{k83N($hYDTSbE
zo^jGLq$rPWYy$Zklx6o1@}eZ0qf*R`36l32XF%5#W3Vj=j_Uc#gJVC}MW0-rBu%ph
z3;BkPAbwv&rpFd;R94FohHKNL!;IL_yG=&mcv;?A@H;1-gzdxuw^{OZ=~E+~QbV|J
zA?aXTz=0J7i3RG`^JG(ii5Q9-!if#n)#VG=F<M8ouEF^a$*-X#*K@`IPEC)0G5^Ab
z3@^&w>oJSuv}xkP&N+Rsu6dngXU2xQW$Sm@H!PD@X)einf%@=a{b-|2Ju5b|-BwAG
zVZy-0e;V#T8L)vR>&@wCRwS>r*_-cW#;Ez<z3=uiU@7{~)kj{eSn_XglIwF8^oW{|
zNcg1(^8>@G9XnZ3oA0;6VKp{fx<~y~7_0|vjX%BJ&amRajov2L?y+M;r&gTyUtRc_
zF<3hGo)wSTHifbfoT!xF_C)idF35Yw_m?r)Fu2p-)qR2syA9N;UdZY~!Ra&l3e{}L
zl%(DpT+M?)z6usR6?8B!yz_0wj~%<`Tim_w^Wu0eeXIF)I?O#0^53k>fo&)IKLov4
z<>_!$Z^9oMm_FbrO_JfnrLh}>SC0$gb9*mK>(yRpBeC;Av?dpZPCs-`EE2-_E_tb9
zCmLK{-o_^8$&D-a4X18Q3!^C4xocE*8tlJNIGA3{gT=AsArD+dG41ry=~FROkX3fL
zm7>av)lc2_V51lo3tyb<U|aQE;2LVE<-<7{uE=)*;>ZZ{s4Pj-fjr6F6_cy0edU0f
z?F$77oY<k7aK>B*=$S`?qF)N)d<~g;;IAb93+bwpn$?D?G28Ic79m`!xn3MGD~(+&
zjFA&H+Avxk_^x9~7>C8kAPZ4B6cdP&`nT%Kdd0C+RYDXE1E*ZtisW%2;~1;sEp500
z5`tx!Vz{z=d0wDL0gFQvB91)QUgd0$)g=*e<nh`bovNyY%4cn>TIaOk>$+RB$L_7e
z&?&|HWha$!PyF^3gKau+Y~MvLL3c^4Su5cu^h*U*a=Xo*e9?jAJ{yw=6=^(N9JS`e
z4mE6L9^-kOKm|G+D0CB$#rV(-LLa}W;}hrS<$H}+_xx$?OBWt_Y&@SfSF}$P_bnbW
zv9De2{nH1MswEU~dEoFfpK%H*f8z|ZIY@^J?X4qW3`O++`%t<dR2$PzdtKOQtP97g
zifKFDmC)dazi4K^4i=KFabFenVB?2@nVYf7=#`+Y@=2D4)?-D(9oh`wE=ljrC{;m8
zO%8@l1r5z5XgcDa`oP?BF7aiTDmL^_9Gfwu<3OTCns%N6eA&Ohr({J9lk84N*QL-=
zpG*6n%&PBrPe&)qifQ2Voe<gkAL+PgAr~Ni)fl8c?^Bf$*Tff}&Wnh*(NXiIR*AEs
zDfpI!$mlI=qNs&eXI>#4hl0I*MP8Ue5^siS1G&l@-SPkGHqbHkhEwwRHVb&pTlFl>
zO=~r8caFN;r{T3N@;9t{3Apl8H*V#H7OD-!_0K=1qHI9y$FKqbh1bcC3rDqZ?YVeA
z!6I!uww75t-O&;lCxx_@`n2$scWbbt0|g@;G8(?Ea-m|T;-Yt!7KZZ1*^ZT{<KwI=
zhfSQUpd)xZB1TdR+q|Q?_pRPHfjJ>T^o|usuzNE$`B2cJzFzXUfD&%=xg&q1!wT?u
ziAUKXO{`!^+^j^%qhH&uu!T`8P|8fNJLs-~bp^){UJ;i<le#_ec|Wb-{t9pU4heNk
zxX`Xc@~uVok_nEKH&#&3*zG7(t%@g?JcmP$3t`sbq8ITAR^T}7w%guO1zi;O@G!pc
z;DP6rCv$DBz|~}pO-!p2cJ5cqz0}Q$M+ncBwlPbP;dz=J>8^-2tk+oc#}`SyIGK{s
zcuUZeY)_K?E{}P(n>^3L6#4UH?O`odOE{U|u;cJIS-dD!7I=_#fV8Pe$#Z%J@XPn3
z<BFs-9{YH3Y5#H)IW)>Tb#b*PbXZ(j5sZ{TCZ}4p%L-I-QJnRy;0prs)s+=Kvx;Nk
z&WG8)N%h1y$GL~>KP+I5nm3qJA&T@`o>#8ct;8X|dnyII7VvE4d52M^FeX;-t_{=e
zB7(f?nAe$_gT1<)nCyK)d=%gQq<dpGA!S<Bz8Gu<uYYNd#kTU{eu41iD1~l9<(iLF
zVZJG(k{%67MLf7y$z@Iqx`<8J#Lt-zn!x1x$3>UgIMFt}@y1@^c4GT6zP<u&6Yx&!
zGkf8@n#-r3GK8m^3Hft>KfH@D28!y*;u&#PRJZ2qd*|?h*mu6uFSy<alx(=htCW~g
zRq$22TyqVvc6U;dmz)voU2vnU`@TYsj21^bN)-{F=WN02xFK-%MHdYYFOo(%w#)Cf
z-Xcw9vm^Dp3}DB>`HR7O{*ZJ3T-iEAk?egvDD=d_0HW*zCP>qHGAY8iaw+pY8Q51k
zaPOWz+?Pyi$vrSj@^5go5RPvlPo6VfKOm|PF+uM|l82_ru`pNDyEdKVE*aByn>Ys8
z4b-k1dN4%>j|(|8%zh(1G6Xi=Uetq2$3M(gmQRu!vOf$Tap@zk+x}tgJ)#GPB#xB-
zUYH>N2LJ&7{|uLRJk@^`#_f?U*<@eiy6(NMJ-)|?N+mOe7A4XkN`r_bTT02wN@S;0
z{Cqz}B9c8)X10)7=Fh*+>%5-x{B_Rr4p6Q2y+$0t_rA*iIQWMO<(kJ0<SxzOoUiZL
z`*4lp^Cvg<MS4?Vx@{J<?wZ4ATsJ~LuTJ9SjfGNQmML&ZLve)AI*SM0_SEuU{f!r$
z2|IBwfC4<sr<+_GX7MbRPvJ@T=kO~s><>%XDR5JQeN2>n4%h!sk;$bnk0&lr%k`g-
z;rc6oE*q;kysn<~<xJ-SZkU#+Euu^YxsJV2bCq+rX5WR^C8<kz?c)`_TLEhDZiUyL
z&*BeG?T>FW2wuT|9G1Miw}=FFdBdM<*Z$z${Ic<hVgK;@Pkz18qpDDK`6@%_*Lgg(
zPcT2_)f)b>CJ;L$rwYNgmf?iz1zf-?fyak^6E8Zqbtvi_5w3jlXFB|25r0D|c-(AG
zhp3xRCmdg?zy-tNgLR_IxCHwZCD!NksPW7~YCDq(7$ir(zY(~C^IHfzgv&4@-Hu~-
zC7qSwV_aTfHP1iXGF0nk4Pru<ua0?Ns#JncUmeNb4XZfXAL#26!h$@+6Y{uam0)+v
zYw5-}>v+tn#^K{$Y>3hHHorrhBHXHo&X4KX#241T*{w$GK&Acp9EepBh}{xvYmeyA
z-KQ^1zjbpW@_*f|-Jt|HKw1qw*-wvJzgqHsapFPOX}lXYJOmJpc)b2-A0w*%DgIvq
zHy?WN;o*1Q3<W5bo)ix1VnRR9OMU(v!;ci5Kgo%M0z??>Td{~_L8FuJPEODSP^?g7
zU*)7cnB9p{IeVTB$vN@e<D?fv8p!pRf2KSH<kn!pemjuo=|tZnD?+GCFReqzQyyB|
zUUnpubE10_!6i$gqUgY)YNDdKJj6VTxbl_AgAR|aP10QwN9&iQF3)Jn!><y*<1oXE
zew_A+Ik_x}sAo<&<{QexSisc}56<u-jgsf@ntG&=MX8b<-)VWcP*&6PWOFAP&&@Zo
zv6VrlRf*TmXK(um2M^q=*o6e_UfwmDl0~_mtO?~@3gD7YXQP`cga*BMu3bx&M~{eI
z^aalpz^V6Hdgu!gG}$azI^#(|A(An&A6*HMcvG}4saFgwoqj%a$yNzvPhZxSKcxsU
zgET%CZArwYU%H`XrGhN3Y5vYgQGx<7*k5#93T5??+2Wj4k?+;Y@7^*hK(z{VUN4hI
z?E6_T7cVt5=A3nIV1)>|AMayE60%4>{tnYGL`FKcD?dKTtHFrZmipI+a%jmUO6~}v
zpzu(3g>yY*5RP<cEf!Kh?R=>bHic9)Hx_%X+KLJsgZm$cKO>+7def>~f$GRRHFIy|
zx;ngkm?n8bQ3)A+3VFt>LPOuJj4HRfG@yX8_4D3yWn}SA&iG<F4J|zUTxZ#@1w)#S
z#813LbirgQcCM3#0^Hl`Id|xSZy?D#&`}i)U9tTpj%dg)N&9Gvg+72ol+oTBBvj($
zW5{buLzUC!D^3p$;a&2tuVE+EP~(6||7Mgra&6ywBYh4azO!yZkDiR~c*I8gU!)?>
zd?kA+Un6*H==hXdg^YqV)b5+DlMzv5WFYFSF+92<8mO#HMu&gI8lDLwA=i+wl_{zT
zD5PdgKl`VKcK`D%jw)70@1Hrgj<uS=ufWvv8D?sz!DTV<N0I^xQgBF@H#UXTHrIo4
zKti&+){{?MlR+zSGbO3FO=07}W5?ndA_`>RLpsnaj{a=id=M063iFi**=n3s5M8#u
z)Z;z7Q02S+_ZgQ>p()$qRNYf0bR)NR>&a(MRI-?~BU{ZB47i`1{QHW4jzxyJW5smn
z0Xd|WV>{1VYrlD?a(T45)UenaHGz-(N+>*i!URl1cIU5_$f9J``))UxTCl#Io5vIT
zjG>JL<Az1jNI59<)w8KT7;&Qcce0%^WOX&{Jm$3<y{jLaJQul+nS;n{m3kwv7<kBb
z@1+<DQL_D`W6A)E<LwTe`bI#Fj8hR37DkM(**4_mnPDIy&rtFe0E^G8Q$&>jG8IXw
z7!qfN(vEPhOjQ8R^TV?inSAI)dja1mM>ZJuRu6q~41-rCqXAB_T!<kzU!KCj4!~TO
zf}JshkBpScKS$Zndb(cS`eAm6tErz;zi9wzp|%Gq(il<KXkgc43wF309220MtPetk
z*?bSnH}SstotHcW*rDThZF9|MJ=o9oVqS)81$Q;WEZ7knaPD~HA-kaqkBm+${Ugoc
zwe>Y}{m0pW^ukFlMNb#P?L^+k?)rt#GLT2xH&|hfT)!jWjt-pg`}WgTs}(=Um3w#Q
zIV-#;+3u8T(FW8g7WXMF0rUTF?m^cnR^XF3dv{hr8}vyB^AFOuVFFAhZO$}S@KdUd
z^9<Gk_L?&|lgA(?O-dnsmth6#T2ob(QBBzMIX3Zk+&JcVuZ4D>%nGmWIxn^y(gbB!
zr!s=jEG8uvyx4wX+y85Gs_=gr(Dr0Of*3K6dDY+>aiy$q?))vsTCxThXG{n&*)3t_
z{CbWQWj5Gvt!+`9O9P@`7L)VR3Kqv8LYVl>26~cix^D?I*f+cI`0lk;Own~zts{~h
z9Cw!IHsq;;<rQN7%*Z+xA}~I~dt(QT{gPB2rmDlceww54{w=Izy!>ZFEC*EZAsGfl
zh0IwU`KnGj@F|U9J=)3%>(AaHO=~JF?rapL=VSmcp|(4^zzt&_QhrY-D6q~qwDxl^
zBd{Ax9#;Cn1NAP^FReo<ko+6;cf~QmfU40dXFD(aateAIr$~XwutI;sab~#QI5I2Q
z#s{fy^KG6qlYu)UOs&<56}&LP&cJDYpjL?Mln0PO=$7dWrG*WaUan3DOA9~-+g^&5
zIvIF}FSr%C?*OixpWkAx?1DyKjjs1U)xdUYS3sO3C(NrQhKv0Ygr$<uW9=?#(8$x{
zEVRG{;^T}%nLfh6nPi@Zt&(6TXR*-rNgkk@no&{}M4>fakS#2O1Yrl;v*#K4Am%}l
zu-lp#?786(f8#g_432bV7!dfu{Gj+Q;-UncRveikl1adQS;zg^$(<n4ci_etn-qK*
zo6=<xB|)uM@74Py0)Q_U(w|b6hPJQO3KfzhaF}kC-7B`8kDoep;kXPaE-5IVH6nqs
z1deT{3IUy`PHb$JEDU+2OZeU;LE;+g<tPIY7}RBY_Hj)PRzDEki)Tnc=5Ba>dqotk
z8wp&nJgoqgE=~h#L2A(UGylnCqd26UOB~GYAb`fh7Pl-ZGMr`f$~y3$Bz&=#j5M@X
z0?q!T3U3p)b*{ejQWq)syT04jv`rZ<6-ex1C2jY&D~b)lKGNXcpz}P&ng}D-cb3xn
zDd0*$KYe0kK*FTy`-M7H=vX8~Krt1%8`=|fN@bz$dtq&?iW>BPcD0j9R|g-SEuGIj
za?m3jZ4$0c20<JB?sug$c+{s~X~duag5Ms*+trd`$GZ9C#a|jw-%auOqd)-58};+I
zv?<^*V?Jp`(*pg34DLO~ijZ{kPpfbk1)ejGd3C00L;JqukdcE*AaBy8d!>*9-l-zH
z(<F5vp5LLN&sZ52Ml$tcvnlYbNyhnHz8=h6>Chh(QGsK{R}1UUQ9$I+>LDr20N%pC
z>Zc7VP~G(C(uE~5D9VkGX*L=H!#JI&oD~r?ZwJqtS&*S*<}?2;Ie>rd{l(X_i16$I
ztL|bC3EnLqY|Cr|s9P?bSwKV}45*54e<@fh2JO9<jKI~nV6-Tc2>G^larjYXaEg$<
zc6i<hj>LO(_E-=>XG(3>zJdT%3;Lt_M~%T|#=Z0FdlhIhcR8xHE(cG`_XIO#7{h5>
zbvpJ%W$>Ntdw|ho;2(oxC8^OE{PnqFrq`8#f-A)`FG|9(M}MdA?rnXA?CbbL5e%cw
zb31$#fs)dYmz(v*(0Q<E7<)>90zo_-%?m(~`J)2KOk>Ery?%rZQ-E0R*9~q-yx<+<
z+BD#147P-zX5}_HV6cBTo%etp{>gXqXo(xcUs3ye?~cpDc>8p95(6VldktM#sWt*(
z`ZKb;6VjkZ>=T@0TEm9;$!VFVjbOB<vpdO83K(cU<>y)FvF}$|&zr3Q$Umk=-;kGt
z8+>KjGapAVN7t_`XJP?jg3`MKuZe-~Ky=T`fDTMl@P*BmEI=mP<@ko*!ca+Vcx+i#
zhJ8DpLD0B_!SUq#)Y(WuxE#MC*&*`|uW_pF%Y0%86b0et#v=ky^RA?o<#Ypn&M4Ba
z^^*a(uUx#+YRM0Ihm2r<T??LI+RB5k=)=M5<FWd_ydXo9S1HqI!wrwhmT!^tVcGY>
zsoZETu#FXApS$0R-wpV**mqtJYF`*R+1=j(XLadXL$PMu>}F`4ccCsk3_>TPJ6YlG
z=Fc{Jzj}Pt+&rjoSqG-BdcQ63Vuq^nq}}S-2&V=-WVvjr1B(Wia+B>CA$;77@K!z#
z?~rLfasRP4w9&iK^Z3&P|L$Zo)sl|E^IVh9vsxgCm(#g?+QOIu5(zS_2-8d#cUwB3
z1;?&RTPHDWU|DplX*SCZm}FBgVX#mW)QZk>)aR^X3PS;GwOsAk<&kV|$6cDRRUlFo
z{PHjM{EASmx7v3sXV^DfD^LTdt2-k3nOCsm0%cdlRR^#e?l*{*vozrQ>}GQ-e+e_S
zC^>uEY#7UAsC^P}ng(TN{=%_O7crYnEuMpCMzO!W)0WSB)Zy|xOYm6T0yg3KeKa(3
z0`u5C<DO@$4(~Tv*M3nJFo7E{j$K33*!mMSYwtEHTsyi@P}n?=Ezn1&=rYb>gA-QK
z<91Zgo=~_?NT0`+lloVWmHxr<l`<Z!_ELbuIE!H{Z5~SxR5uayTELc4JSv}@p@3wu
zx)b@!Ja&9(EltN{30o;!p}m<W!yYruu?dL<tgRvPR6lVAixCJS><cD?9$S9V!^8#5
zimu7tlll)c^x_)YFGL2{@RaYS`imH|W6JSZhc#^T=xLM7&T6nL@9fM|<|Rz4ge`kt
z)&?f8Pnwa5CqYzIgi_Vg5*A*LSbe$Zfc*~VgYs{xz-hp`d4y{PYvOBE=Q%|WMkB0$
zjCQI*WAT&su?PQRr<rbFSo_8R)`6k+gU&=KJJEQO>+L`6)OBl`pEDCsJ@1EnEK-4t
zKNpf`4y|E}G`F)`oGdWBS-~p9zReNQ+@G5THZb$)TrG<sR<OVKg3;1L8D>LmyBayS
zu*ag-{l^B`A>wanL}8l}w21hz8l=!c(7nB>SGhUisD^VIzDEh(ukYOTx0xQy4o5ww
zUgU=6<@4jaKPbXOv&Q~kvW#%Vy+!uz9bS06F=8EOrU(*G)v57Mm|&}nb${VB9}HEQ
zWz%&Lz`NO%v6I5G-KRdje|>EynDnG;MqMF*hZFzl>UmbsHHw;iuCNRG=N5<KBnS{~
zr6K#Oj~&(m1tKr63qt+KnG;2w3UK??nb&&%IN-S5r|&z~g~2t>XrgPI%kDi0vLKpq
zL)F2PY-be3VCwFTi%tOw@K|@?<p)<@u(Yw|v<Q)aka2~vRWAkLZ!=&nuI7V7)Xr`x
zb}66}3P}3BJs-%}@O0T|CwR~5sH%8K!=9%3oYfZ!KtIUUm_8@~4<{|^XGdg!%PaK7
zoyBe4RwVIRmLM3^XXiY+B?rqxk)4re2@vvm_;PNfFuXk~GZ3Mw0Al=>d`(P>kSV_}
zO)yCmUZyAW>|Y^3VAg_ePKP3xrFDII+bj-m&G$<)btyryNgKQ1fD%lamk6b*?uIV*
zBZ}5_DnR$WW+P5T1uXb={m*tw!G8|)gl{#fkPzbd;VVvr5M4FLe=0Jdt7*GbR;>mZ
znq`KzStLmPA`}xGBMX<ZkMN-%WDwY2eRTa28S-L!+7`FuKsL+#KxYF5ilm<3X0N1x
zns09ImftqtugZ|Eo>PHBI!>+DQU}MgfoU^~1fW~ao?1Dj4z=Ypp|3+UXcawW66UD{
zGZed0zXf%;Q#Uc-^j;H&b!62zyOd$PO~{wtk_ICq*O)TiYQt5Z6x>#s2z6fao^tLq
z=-a62vu@XgKo%1wMMqUwSINqw*QUXGL6Uz6odM+4_}ElAlVJAMUUE{IItY084$TuW
zVEP&+>93#$pW)yanIBZ(<$dGlkqHofEAVAco*L}mEJItx6kzJ<4%nSy1QUuk9V~{_
zfIVHi&rFXD7a|FCtJjTTUX&W3@>vZcEzW)&<W+^5i@rX^6ceCC%d|NkQG-BnyFDSc
zN??myW>Bk4Ku@$_IsG9CJXgLM@p#CCj>)u(nYbzN&2yOfhp2+U-&gyVZ%BiweLvwp
z3sV>u!HRG-B809#-fB4}2IZQJR6R>mIKR#(^)6i*1lnJG6E+rrU#YfDnJT703_CY(
zG^Pkw?E)K_$~a*DrHshoF%x*K#AIK|MS#7+LQ{MF>3~=*8>DyN1f(VvQ`BVSL5gm$
z;#AKR#@qGUdcUv<Jgm--iYLp$U%rj=+Rc@?idnq}db-Wa*MmLnOr+t2Tkn9>w`n|^
z_e}H5E@L41srjhXN`gTGhs`qeFMi{w#0Gz~5uARqo<dX=gM-|KWiC-$c<$PxKaMO$
zAb((u_30-ecsRyu{m7F6JxZl{um%C-8J;IeBnUvy??*DNx=hGX%UwWl3xh*fU(Q8k
z@WGSh%m+uEnNdz}L3JQA1_aY8f$!a1@QyjcjI_p#*aKl*OwbUzAeHakC>xxtX!BXn
zU_n`_iL(L}11LM)@<8G|6HK-;)@&%TAZ5E<vt)aHFk&0wKYWr7n%{grRXW3rZW;JC
ztb}ay<2yHH(|~_i5+*vz{djwC=*zvWmAcUW=i|Gn&3VkI@J=~UnUUZSby#vk2OemN
zF6Et`#Drr;`Scr^&{@+Od2EjkD9CBV)vyj=w?(5L?Yqc?IO>+7(jIEVd*w3o6vYPY
z5OGKA-Q7&6nq@1qVp0qIez^bU3(movZ;i@YjW8lLj)}<K=2{?T6=sozx8T}!E(=A~
zjHs%xb;r3}O>lAua%2?h$B%OtTPOd=h<-|kBpUH)!r^484}4EX@C$2sp8Go(QE1bS
z-EILIP<v@o;;_^dZrgX!=@cgu+UKou``H`~7JJSG-j$rg?N?+OlwFw+VQazogBuMx
zTilx-+?mI77W6D%|71e<YK**chSkCSV8&2y?IK?AV*U8qb!IgC?@o@ct2#J5x|1Zj
zw2U_fj)pGkupnKBJJ-)oP$8jtZ`T3AfB3DcfRhE1tcZ_76;;1N1^Snz4Gq*aT-0(d
z%U+2M4fXIJjHjo<dHKp_7wZlD?q{nAD@S$|L@$+=@Q?yG_Ia(GzqN%2RC3XD-t0go
z6H%jwi4@2$(!Dy<ONabx&xcOvaiY_VN$dl4WO#1#{p2fV26T?&3m!bfg)}9YxG#8+
z!2=wge>7x7*Y8$;z1+-$RAiWaRQbqopP|KVUpNyI`NmgDp65lecA_8aZ>T|OSG$$x
z6f^QMnXb<k<VPBxt{67;k$|VQs_xJkR#c+gRzW?o6LsBIo}pQiz)@D=z3>_v;`n+*
zIr_B#VobJeS!`5=+oFYSt3^A|;Uu%1V0A(C+<PQi<ESdII<z&C?{T75T9wIUs}NEn
zzxB3XB0}#?-J|p&+(<0l;_2f@BFJ@}j<B3Tgw3B(DL-v_QFEq?$02_)bau+0bIpYa
zU7XdfUH*K?c;jDwPJ{$f3Y+<tq)UVc?T5qTs`yb}PVo1|54+JTn+zs*B_iCtJl~Qb
zEP%W>BL7D6N+Sb~zW;30iLk0O+;~4~7qSY^?JBgDK^!QD^^GGD?u;v6NRbpmFQ!i#
z3KhtrjQU&?`{zWsVzb=&w^0~vBncn=Ei8{F2s83-LaI<<=AL~jQ54NMpF}AM3dmKz
zdN}ZvDhL`Z{33*iBTntRCv#;L(d#d^ZLzmWK$kO5*@~1zgaVGvi<L@fxkq-gB2W$b
zc&c2^9hE|brBcyzjw(n|W^GgGI2lIL&-hkfmqxp!4>u>R5z))0h4M>c6!^005IK=8
zgKTqN>j}k^kge!qX51<TjwcE9`Sr@8jlum~e4J!t7gzN_YJ&<qPW}wqLh{H;y!pyr
zoQy`A7}6$XX;9QEaCpO30Zo249oKcDpsP-SxeqRCfC{^TT3QSNd5Gy>GVZ0Izkc<y
zv|dfP?s;`=9w{P=*X=J((x_-_<PVkOtTz0Ri5~4AR6>r`j8FbMK}8AYj-;xw>%wQQ
zc;2W<Wz=?bAN>J)Dk^!y?dwyi2WMZU_q=RXLGO#g_Jr|MQBcXC@@-!OP<p9<YcP(8
z6ghgb^y4U~k5|x1UJ(Pu;K+h~QmW|0hu5pbRsdQ+rN1)j4tCFoZ~^GqdDVmMnkwRG
z!OrlMsG-7sPkT2RqwRZ3km-$8MTg%RS+3ftqTCJHWZN%Bu)4fkFTq0<y?dUV()nB&
z`PpvhFxne~>V<BlTa2ox{!O?qR!Kme&yL(m`CtqORwjy1I1^EPO^#|@i5zMnozoQJ
zFag@I{I~F1D(J!aH1B{6X|!OU!Lo;H0v=hqp%>hgkyK<s!F4MMH0JO@^S!nSjPnY|
zN+~Fz7rH}Bre#8?A*x*LnzRXg(clzn`anQg*D&+GXnrIv!@O~Q&KQO&8Qla-6%g(G
z=+k|(9H``Po}GD~F)Zv9^7DBkhcc9NiY_cNB9q9<j+-{dFfi_A+aoQD2+?wbWS3Pu
z#I3E+XU+(g+Q?2=v@{~gYqhd^&ER?dF10)F8o~P?Hubj{q|l+Zk7a#-yYb$#8?I>r
zM({#LQPhe}0{u;C4IK7=f&DYo{qr^*V6p1&PMVr168JS;Ax`VY`VURqa3ukp+WFRY
z`L+;>EG2SZtr*4@k0|cZ@Wa5qd*|QAO#!rA?&-NTK90>~=Ck0B4dHjc=4+use)J^@
z5)1^VF*A1&x!08jaQS%N$HHh{R3mfmTUOq0Y-^St?-|nviHt+G$AJrFc2|x%)6HOW
zgC~l^MD*c}(0BRZkL-wQ=-;mG`Wu_FHu=|Sr3ZE~z9FS)EXe(m$g;z>|Cz`LgO{<o
z;Fg?U+}_HF_FZ2*bI@WE6MW{#+}xo9|24|FknHKv&YLOUoK?p$#)F5x&`ImSy(zwX
zcIKOS^{Ksdqd&K~dp3D!-b)*dCVcl2Jy!8e@e`sit`1`rVIRyL>$Kp=PyMO{wiVnV
zB%8v@F^I)YSo6)xYQd9n`@1g%7x7;6gr+^#Ke42H2W)&oG(lHr?K}VdKX|f6gmK2}
zZfu58bu4Q_1A<Yssb$^_o{;(}XX-#Zc1rYd$N?J-SUT7FNN8vhzZB^t;JdpSyA&1g
zrSpLX!5MB5XL81Ha=DUH`pG)XGeC9SP@M)oi>K4-CVt_y*L@<AHW8*lHt3_}ssmV8
zZFoN&!d*DV+!Y9A*r%wmv}GA}(DXWWKqY?w*H%$YIPy9f(@QF4a(PCDi0Stiy%hRz
z;Xgcu=Hd_WrlYj`j?z>p46n#Z2=B$cZn}hf#1`Wpzdv56&Za>757&P+-aUBPjp3vt
z5f%7C@~`C}RSNjrf$y&0x^T0*>LqhKs_{zYys=wv$?#xTn3O<#CqBF)9qCS}!`+v6
z1*Vvh!I_om>Xp(Ce6G0n<O}7mxbD!C(@8~Y+kdb*Ygx7fccF^iR^V^JOBTnr=DJA0
zt=N9yZGSs%Mf+&F9@mD?sc5wCWFdi>f3Ab|wqDgd_9aKW6E|<|$o;9K3S2?M@83#v
z;5<Hi=NaF3<G~YC^vYL=VB!uuVvjrUNR`!(TVB0*^_7Ecoh2&3>UHyJ-QG?-taiM<
z;6NXKAUQA&Eh&S3!sK2NN*7*uRO+Bg?f{-n6qWg6s0@66j%6LQ?8cv@Osv=L8NzRf
zTW+;SDnYH6K?Ta}!7F>!Y1wqY@VErleV_UjLC~MR`IuTSuKq^C<96Q&?)t?*GDu4i
zG*z#?;8^^DcbozZ$6sUkC8znuxp)HP=U;NTyV!@%>q+iO6q>}dd%}3Ow)v|m?2o$K
z(*eAC_nqs^0n@nHrRAfE#}pvTKT@KtcMxw^mM4x&%;Jf1y*kA;@=!%DVmE9wjL$zh
z?83P<hnHu$f7Mc#hm3CX;|||`;ZJn1LALmLyl!^EPVu=M&>g5VdU<aY?;&3nVYFPt
z7c~T@10>`i;DI4W>&0>Wg6e^rx3rdVQ=x7r!$euYwJ!JWy+4UxUH{hUVf7au7y6`q
zSwt3gogh3E|1pg#?oa!;Cu0@Amc6-KAyo$aceBZ@c+TSC@ey+Z<PH3!@*9Vn1Q{5R
z@2C)z{)2apeksH0=upwJ8%lUB4ZIgQ@4J=E<6P5~Uw=o_qwkIdDg}F`p$%bKj^`I~
z#R)N%XJ(9Or9I;S)1VYM4D+xbwpqp#;@{Br6PXd4_ecHZ04c!Rf)&Ir{>3McXk#s=
ztVp2ZL*tT+6j)YerwM&n#o47?$nlTZ(f<Gd0RR6Cmv=nXZyd$#y<L0nYu|ghHs3>5
zl#tLeOG7C{2}wrM5Fsl?L`G#)D)LP-DygXWrBcZ#iV_X<^ZzqmpXYU+bI!Z+63bDo
zLM61CY>zYaTx=Ena%g*)x&SF0ec=G#KSg*pJ-qiroQ1sKc+#+QUWn{VbGqdnsR*_^
zmD<<KSjl^zW;`AEMM>$u0(Rzq6wu^e?6%UMojmN@^g^;-j8qTr7755zK=ARB{@+fV
z<drk=<DOL%@~yT@AH`Jx!^Ri(?Fr^455!9j>9t9c@*8#?-XyPpC*p+%>TmFpkqR^Q
zY$7t``P+|n$O|iAeG+$vmXiQE#Kkw~m?uZxxE-VApsj$Hr{bs5WQED&qKc;e{)!|$
zI4YDqLIKeZa)mqPM9IbMf*ZFQl}Z1GL(I7u1#I{wen|eA82Q<2eFJ5)DtYbbt%>ao
zipUSS@;9=MLOwnB*HKMJoy=(oc0JXm1ddm0#3NfJNqT8>O`g0ac_mc!)azVjIDN5}
ze6uJ`F8=plv4$~~RR1OUqvePSq?)6SvF?#0Cpk7#h4$!>bDNBkLawO7^m6U4D2gH(
z(R|=TdAA-ZP<l)^R9zivzdE09+^<aDuxm)Ew>Bi#8}`PyO>5wI0n3u#k_tJ>>6$S#
zOe13ysakT1R8(%GjW(WBBQ-f#NM&^fnI%&=(R51(TR+K$MS5zGbul04XZ(#w4xaiQ
zqdodKag9S{NlJ^%?uke{e$<%UEz6MKQb)soP!_s6MkQ++=cZauGRfK6O`AFHGLY(T
z?0c$7hun}dS9>bZgyi`Uu-=WIi8f8YGHQYzd6rB(dvDr=3|=*HmT|@ui7qum=kyK8
zpxpJJ$Ec=cppj8Mzl#NO-r24G*I-Bv4ykCa`fWlo9b$j6C|ZNOsIfooFpZq@d=wqH
z&V=+{FqNjw6Hs3rU3`m`PF^XiRChCFl1H{JJlMC%7I#j+k<D61Ck2Xrf~(Ys9JQ>e
z5-hbt8T6EMqUfa8x!AsSrOW%IV!PM3tN`VZ!CdBMI+=A-NUN#HfV{Uf@t~o^9=1AR
z0;U3VQml!ytR_{PEWNs;KE=@i>nv@~tx2MhEHmy(`u6JNh{l0fuSy5dPP?0!XBd*#
zdQNH7=_-;|G2vF9yByHUl`B+2>XS0woYxw+QONJkTy5vCIN+-4R_E**T~b>6=-OFT
zZqhO<q?kR}0g~B+LpwsW$wuWhoN_<Dwtmjj+)vEd!_(~4%uZG<QYa#2zsJiFqH4#d
zEBRaO;g+Hr8JnR_4t+Vg?O^0T!l_7U)7sAExd!th43t$#>EZ3nqCecYyzczRKPoFQ
zR$nxqaaf5Q_&btnU?Bvr3t|O2v36*2_-kPHLzXOivM5m*B#PbKKlSro*`i+4-*3w$
zN%FZ(!b``WVmJ^P`@+k@7Ws)mv6>gf$Zn#xo#&4@QpBvXRLcQOy|ic?5+sk$H@%R}
zqM)nc0OuoVKq7{l`?DA~xnC+Pn(IFbzCQ>R9n>Kp{qa_H{wNFi;Zm4)@dO3tMVGz9
znKp>KwL4Ar;#{lq+RYc-`YG^gx!ddLZVjr~RjUoU6RnE}V!sw&reMJ|+n4vC6&gP-
zyx@;}+?sK*-{V0P1#3NC9o}4LiMGms?<sQ6i8D51tfqDpI7KS$`Za3-L7LJ)>+vzd
zg1<jOPm%%~mrrR|S6E>0N9V+E4&R9)Ho0NSyf`N06qXW-%n|JDC-YbF7h%N1w{?D8
z9Eu(`?WdQ_P{U_Qo!_=dc;vs`-u_h_c@M-g=sV2tHakY%O^y|sX*S!=@=<UnY?yQ4
zwJCn*e0M*;h8^})ciN;i1<{=co#eeu5x+V}%x?oH{F{?3yN^+j%j&h^`YRJ`8j5>t
zWzUUN*3nnPUnvOR{ADyMzyyT~zCW1~yfD_xY^d5T0n_?5VJoMZur(I)$?oTa#?iKK
z(Oi-cNmCVN9A$#Dy|H{TO#my?%9~<uNuu-2zi~$mCjQlR(GQskVVZGQ`E9Bcn&t;T
z*FQAICe9D{v&V(un7h<_BTO2vEadDO_Zve+DE_NruL$glou|aYWe};MB2uJh4CBhm
zp`|OL(28qFnK>zojd|A&Jee>;_^tDfvpHfoDe^Pd`hgrG+<D%&T{XhqvIx8W6mgjO
zz3Xn5RDj!J^$LyzBbb>#J&D5<ye_JErE^3PA+OD%>Apq?Dxox1q)Ncpk>|lKc4a(k
zGBaDWG{S~`#)nrFNP^?mSn1p|WyG$&Kd7&3go4@)84}G>7}oI@6s}Q0o=Bffk){#+
z9N6E!pOi*|!{%GhPpg8l?&&YOp%IeAF4490WpV3X%{q|;HMI9Ms*O4rVQk^5n?$@E
z7y(xc%%aq>1qGE&p+-3SVEW(TA$gRXVwSEB*MO)=>7nWpBMABiQC_+zV#@BV_w&7)
z2<`fpaBJKMv#(#5ad#@=(vh87clK%_=n%Q*p{+5Vnk1iXtx#UpO~cv1-BcLaNPN6l
zYYdAo;a54sRq)fxrZp}|8&!K^CSU3?5ny`c&6u?+3WJ}UsJQBY^WnxTRjo{X-1R1;
zP(Tef?Nh5BspvxJSbh*khzWwEY(r-MQ^RPuU{v(5F2ZDNr&cSOg2$uz#Fk6y*pn__
z(tcPEZcim{Z2D}9oRt>&OQ9OjyGw30UC=}JQIfgwff?NQQ=cSIHNj>e?;g8KAFdUR
z4o$V@pbH1a2MjFFnWa#AKU5!|vewrqU9f=Zk?;+Z`?U~WSUW^trw_p>kHCaHOVoFH
z6$P<V!F!~3t1YKKY`DGl%4b=@lkdHx!hR}Ro<45TJE#X<ZFz}XN3BseT(-Npmx{L<
z|6US}y2vX3R{bc_2J7pz4|?-yBVge26yFUUJhKwYx$jPZUU*9DqPjLdnJfE*CTnAV
z;(pg^0icW7kg2AijnuE_l(%S7VgGs|Z`&4tIBx1e{Gj5}Px5R>nI>Wu+siK30`;$6
z<a<?6;VzKeQ^%`;Q){Lp1;+qm=W@kc7F5JFZx5LBSA(~{+?Fn3TU5)u*j#;83$zoJ
z(|hVw&?Ge9Sfgc&DRtvpOkOSY5$u;j_?3}y<3PHyp)FLmskm^tYC?JY*k93cd2A1L
zapzlJuRk2Ii-^&{{e=7`v2hvXhMg?GE@BI>FGbrO^3)MN^5ImssuU!%3{Nyp0fFA*
z;U{a<us!g1NZADn!h}uY$X4LD(8mMew^flY_Uh5)5Ha|3o3ATQ1Ns6y-S|6Hkj3O3
zc^)l-m76RW+%CY<)&3~yK4rv2Ke{JWB8bz~vGQj*fd{L_mU_CCKunx)_WZzyv{e1A
zNihW4T2r6oEGVG+!oWN(^Wfd>>dkrYZQvRy`-!<i9+P{=-rxDcg$BvF^0N*$_}$-3
z-&P`vOAmDFbBa0PVw1yIQ(=t(`d!MRj0~RVPfWYq;J|~Ci<)LU)+jkHc>B*4DZEy@
zm3dl=1AJT$coTP6A>fA+Y62yZUg_9yXN(<k-EDuQA20j-1HLo&7!q)pb}ZnYVuu0M
z=gDoFCCtiPHttZRAfmD4Wvc-P`hwMV&Y!h_vr^L2oiuScsfDL|m2=?Q`rtn{Y!>j(
z+kMe`lNeqOHoN+{aKc0)|MmDDbDZ|MpQKbSiuYM6-nr6T2)x^5Zt>m><5DeLT705t
zZ5<u$;OEA^eL)GK-e!1er2b)Tx(KeWk?X#p%!9IQv6h-%Q`l!{XBMf8Kxz1?kJvh1
zjLfZMYOgkhscf0tkE_DqaQT<Fwt^2lQd=zedQFi0GqGmKQ5Z*gKc1+P6o8w8&(WB5
zCg@HN_^B))jBeF~fup5@_!)H6^x`lR_WQ~{$SeurU!cc`|0-cTG_Z`jxtEE%$I$O1
zCycJl>9X&~L~wom4eBH(6Y-Dl)Lse_hV|E++_mwdaPR+2J#@hs4o`e5Mf!xXP7M%G
z6vOW=l<)O0#@-^nyl+eq#82=hiROwUn;QLVaMWm7C|_7s=ZfH9sqiQJ77E<%o~OH=
zF@iGRtoM=S_etc}PpF%hfY;rTOZy#-FjK|rbTUg65*=ZLzoQhM$+k=Nuo&T5ZeUKb
zff(|(bIPo#l166riHa9(4DdvW#b&=1gW;sgwJ>#AT)u04Lgyp{3oe?{e@ex1OjM6M
z{kj}xH7HjO1Tc^^+cmftOMzxwY>kDV0=9nnr+CDg0fdcIP419DSOIgiPf-aY`&pfo
zG#GgD!J$QXw<Nx#s$DCORYuvZ=Q)Hl12Q+28cI{7aBbD0-=`u~P<B8zc0!5)R*CYd
z&IV~%e63N;i&llN)nhO7<#Qs8)^#47mqB`zPU?#!H6)$w`{rlMz<QhO#}eG-V3DIg
zJCUyrrw}f+{M`)bcsH_o+?7XRgssoa4GmmL`}*6Unt_K0LvHdz5e2*2r*<y;D^Ii7
zz}CME)ZN!-_32kagRPW=`d=;l*p&A-(%%SNjMwIunw8PCZ?;xLP8;{jIbMYg7@=XK
z>Po|06+~JbslQ~T1G7E+W5(Nz(Q-gdSUE}+YgsHjxd~mg-ga8_6ktNUR`hR(j~ZT;
zw5AQ1=)v}=TKuO@CN}ci=1#Cshg@36ky&wlET&hsMdzE~!dSF-sGJ5iXkTHkd7_VB
zLZSmh38o0XCUv!GP6Kj>XJiHZ4Y1PgOpQ#88GI(+-AV1z1V@EJmUW8(zSojmc1O&Y
zeY2;k;Di=FKBVticy9n+dnRM=@;~+Ed%iKwhKm0}*dM8M8lXKaqNuaM5(<}A1{M!e
zF=H8jh`HSWY!zOgPCm1OteNFN#(HgJx4$d-)us>05l`t&pRK|FUtJONwl?D1*VMgy
zrHA1#mfmgiHt4+X+Q;=v8^dW<Wja;52tCkC8=fH`-t;cUNkj)Zt60`KLkDHS>|3jM
z0L|z4*)3Uha4~P|Zrh7gY~CjxPk97vxRFI$`A{4G806!Sx0)z+GA#HiYm2?7GtxzN
zY2(tn7=^4Qb-2b?h&1}xBH}meK=3#fxwkEISBa{jYfkz=<zZViKaV)Zu%n`=@@n9e
znhK_v`ez4nZ1HS&Sdm}679M2VQF2lgF|M^soHx%FyZ_3aPcGKP?ZnUa8Z)wZ%w`vS
zHq91pl`$Q6sx&aMpV#Ylp%lv0KPq_cu!VP(w2xPXI?h)QNlj)_@TE3yg`1TvWa^XI
z3i8!ZCBc8K^|dIdKNL^gWw%B2Xxf?LR8_d_(v;!(BZQl0M-D%|2kgC?Tp_&tA8HSp
zmc01Fht<ZTr!x-#Mr&AdrGu5>U5(NsN4aq<Q|-Z!HXtd`k#V6>5&f!)8-wn1p!dD6
zSjiOv1)swX1>cm1amH@N$t*UM8q0;{au9G|^!{qmCyP@#)lt94SYXROesIvo23-kz
z1@H6AU}EQlQ|`8Z#AS&qA*NN<aH?heI1wy`KL$lS<-LnUPop9!y=Vn>_H7b2LlS69
z`^}#^xj-m8aLHwQSV8K1PgH$01qXMA+K!ej5T|bjoC~Y8#CZV|eI+At@T}%A*8Q+R
z*!boIJF{7$Mm*%ak*FBfUOUWNd3urf^43!8xW5HP4u3H=6A{IJ4-13x^Gk$9G^UeC
za}<YBziAtaU`c<>vW$fVSN-!}Zr3o!!B;;8%Lj!(pD7D7e!+stje#ryr_8W<(^m1@
z8G=~Ky`iVu%?ke`rgABNP0?3;Pwz>*02GbRQr!mG;9K%HXKI%zeD$ew3MKsD^GHqz
zWaq$zYtnD4KbYXZvaK9Tb9`W?4e#T1<V2LN%A04KOmI{@?$l%)AFPSZ>Q^psVLC<d
zOT=p?G!<N56w~;S{?es3P@D&2l<a_VzvZ4eV>Hbt!iUiHQrz9eycm1eHJLQJ-17|#
z&xXnHfg{@|g4>=S4nlL?29e7>7QK7dy7D1;_}8i$4nZu)W{*AQFvj}a>)x4Vd}w5;
z`da!y2!`A{WKR|vLHDuhS2uNjWNK;%i0u`D-m{<n6{bcgYfyc|@{k|>KeCwp38G*<
zYD4%9GH}SCzIR)W0QUA+l}(k1fpXH%jU|zR!4SjHlc|DueY&u|<CQof+GpQS7%-q8
z=xI)#6T;P16KZ{`5)j)xJ)ZiJ4xOgrL#JK~W6$Q~(PPPy7~*!D^*T=nW7=ZM|AGj*
zd^|R6T#|yoOnk_vAUbZGGHuq}CJMG<*AwNLGBB6sz4y+5j;i!x+ZwxNu8EE6DktP{
zenOCigM$uj(^9jHW&QNtmgx`SRX`D6_k`X@8r~2N>!K_u82;@bS^Z5BMNOY{J$q<S
zG#}m1<|~0pksI^dW0WzwSy?3gJ`Mbg+|NBHB+-9)fBVK`DiE1<is$R3;oRqlmFotj
z@ZgPzty6_6#I=tPQwM3Nj5TbWw3fl-kL{<{KUaevb!WWqUm8Nb2~Aetmc@YY&p(#S
zJyzDdK2g(<j-UVN;=XI-5gFN>Ft<_@lhH~tM$vR67Yu${`BwoYL9WbanOgAe_bJwV
zPRD%dyCd!`O6Zqvwr9SfLNGaZw#1$ROP1Dxu5M+tS{%8Zp``<T_HQ!Uy$rN>>lD_v
zs4VLww!u797Z&rAdfbsla2nj4T-dbiC-+4%c9!U2_h;*5UAi$`H7UPoO==hj5L_@{
z_U(7h*R)vpnAkhC<?!)a>Uj1^Cby~G0L=LtT$YPWn5g&jXx`F5cPV30<GdjPD#sgZ
zcukRJ(IoJuUK4}gC-uwKXlOTK(G%4-!^5Dz`oBuF@c2aDhS>EqtbE}zG#+e@iDUoG
zA(09n9pz2ycF~Y}h4XRXWecSI+|WvO)y4<&6lFbM8tQ%xDXpKkL;{=owx!?8`N|!$
zRaTY;yMx)OagNpy-2LVPBTWY_CluEv1{&ham)&}&PuW04np>@6S_idjOD^e}8({Lv
zk@<lR0)8BhS!{;7kPezO(k1nfe?NlZ83}Bebe>{?E>e4Hejom)gS{$c-qYWKO1}=f
zo6B5xt}K7!6LxLfXrQ|f`q?7xx9Q@&J{?rf$yFR3(!}t)a<7Apw$N6KvGDQH!QGNb
ziNOMOG`aNnIexcAWNm`J#Z_&zUYFhx?5>KKe`+^7r0lSHr}y2{@2GI}%>43KP#FZe
zZf0oM!P~8%;KGy^+?n}J^ksfur>Cp0pkRmWblPC-J5AWn-k2A;E`<PZnZR=_c2L@Q
z;@YJ<8W=g9n!>gujxql?jSbIj!Lvs+yfsZ7cg;DP#A`&*Oe;*W%(X?r8RgZq)oR!?
zu`8rHogY?Qie6%FwxDxxb50AXBBfE8SewHIb;;`|rWSy>P`!z@%bfD?W8Ltna5k)3
zt&wkC4%j?zC>*s`f<VpaV;_wrLbdn7RfUy6`IK=!^NT#3lb;Iq_5LE(v`sY^^%JOE
zao;+>QFfVYq8v^)&k~=a{#&t^vOKkM#b8dcG}5)RCt2HPh`g+-?9sJ0@JXakc+^P3
zhV8q?u|wYod)n*t@@#8Z$y_)^zN3KsKkD0!;!}i=oBEq~ua-H*ZKl50TpSzZ-vpgy
zpCt14N$T%Xv_f3kEC1ZvqTrTP%zP_8NxU4Fni|}0iIZ!mCk_XSU^_>IT8GFKvEpo)
zd(uq{L@uK3`vxJ@Dz+K5Klw^1uhio&;<LcZMuj0s3jx>*awv{vPZJ*=*Kk?~nPcZX
z<22W1K6u0{P6V-iCw6G{Z`^&?49X|d@`Onq#N^cogp~at9`P+nYAc!HMMlz3e}8WL
zj5CjQjQB|$TJf9`l5C2~4MFKtQ!WS*=1)4d&J%21f0CuXn!xe5gjdrFP8<-KnrJ)t
zo9KJov!1q`FGCvbHkpYWFgiX!9l7$CaGYiSDtoe=FRthF_Am1oMK)E*k9CPi_jww;
z%Yg~c;dqhwWOht;TdHj^XTj^FLditZ7@YMM(meL;s0rJuV}FDdN9Gun?+IhHE}hvi
zpv{gS&ZYrPLu}YZOYzUVZv=B+F;8A&b~uMcdW5=gz;TfOex9olE>8Ejiv_Y{$uw1D
zcMm6?xFnfy4KR={6?LHFDmxlk!)c1!xzSQpRQGi|13MfPW;~TRkPv6XrKP|N9@l}q
zuq8UU#w>=du5zH%_hR+lZ+zG#<3U#C(P1FIf5Ok76S_?Urb-_K5FDL&{+THqC2e)v
zM-91PpZ&P-#INPNdvL8;eu#!--HAwd6>gM1OT4F2D1wjrr@Wu1(BL^5QyOB-1FgoV
z?Qy-LxK`@u>BOW#H@7s!awji*Zf|C>mlMY}p9f=YFATA%q`g|Roex(_&gq9ArodAS
zkBr<5K~?Gd(Yitals?fy4pvFXM-Hm6yf8qFyYTSfXF=Q@HTPdAmcj<>wWni34PfRq
z6@T!KFbd_e4mod<0Y|{uC|z*_NXsc0OuQDsTQ*MW9SgZ-;uCWD(4&uwMLheYXO=mR
zHp4w@seqT~dWnW}`p`Rgr2e3yI2eRQhC`qdy8hgK$eyAP$6mHh>#fWE>csK=-7l1}
zEs7=WbgDi&K4k?Zc1VCf>UT?)peigY>YF3V^-+9>=Hj$M3XUr_%QY|a$C3HB9%`TT
zVKvfq#(zi}aRSFJ;~LZ<AzjfEv(f+$6aUcMvt+U0z*VqWNfR;J3-0AF4IrO%NXvAq
zJn$Y>;`v(WDoc@5$TY-oX9#PBmm;`7<wm<IXoD)fqPxw8hKLQ$m+u-XWBl@g`!N+d
zXcbK`Sn+f@H@~vK9kf+J>C<Z0D!LwYI|&x21UeMcUU*6Rt0FU5v~*pgK2A1Hyl-92
zfYtN;QbdXxo)jnNIA|I|Yfks0y0sD7D=GW@>(rs&yr8>s`MwbSu1>m}G4}UJIMu$>
z0Ofl6nxGdni2PWaQ*@XKZkDD`2l=&-car5rwg(+=$DFk~o|}McXRa;Nkcygyi`Mnk
zbj)7t{=D1P498Chx<uM*qs7J=B|~)Vs&L%DuhSe3lqx$pdmVgfi?$tqLx<^_uSIt@
zTVmt`cSwn*E*QF1`D?1^xL{`&ZuHj*3qt!32aM=~lk<-IaT_{X7m{LBa%}LA)5MN9
zS`VN1&7JJer@=vLpH9CpP+I!UTls|^!jHX+sEsqkJGyhFLnol|UAyzpf*#heRg_c*
z>Ep!f58nhsmpSE+BJYE7J+KLW+xqLL4l;e?EM?|w@pECtrE7V5Xi@%DSKvy;g)1u$
zrf#vr<gp`ECqX?(M1`#@h+Xb2yG8%bHQ1pjd+5WHmAW{)Q^{ezSQVn`w#juL?ZDBm
z@+oJn4*HJY`eR(E1P|AMwCq_s^iCaD&!B7LVHWE?MRQp^|2Eq;G;W8s_D9WqU$ju1
zRp%6ME&(n%VXL0|cF@f@_F4M4CRo@^5;Ge`5XSQ(apf^P^d$t`*OAshWu0loi*Vj$
z{S|~nSlc0ah4Hong=(-ID;qzQ$A)7mde=QhZ1GJ)sP>k;Do%z?uFPooP5krS@S!l#
z7MU~ach;3EgA^j48@o*tjcMY$j!D}hY5MVP$q+@9j{8-#EIZyvc3l30YM{V^^5bHe
z98P=hAv=<~h&|bxSi`IVbAGvwDQ+1Q)pe$p>~3f^ca!3^EGFP8N~1l?mPF7Q?>Xf!
zPg|>+y^8+cw}GHR>Ye~M3OtI9ddxZoT5WU+p52(TUgo<;VVWjl2#DS>JH>d@`su(I
zhe&yAd=7q67rIIWsTWP;<=?+;J#jlswcFhaEa&a&rj-Tp%j$f@kL_<;HOw-vvK+UB
z+3vp43#@#2@zRg6&UL8OdC`|e_mKrGM)<v-n{XrCEuXOZG0@7wZpg|MwZOAm<smh9
zIB>4v@np-*{?^H_dgp#_GKasZz0JFHHau~7z3M`9Z|eomycecd%<yV@74>~F3%D-#
z{WiCF&?<b3uks#;89HKHd~8M*iORuH#=m`yt=;))>AnG`(BsFj{n8&|dz7t=>ej==
zue@s-?W74__Po{iP5ed3-DWf;H8&9|!k_zkHB8W<qUw|tJV&^SNcZ~GcM?gI9jje4
zm{2;WbicK5mN+E;hdv(jj3`(y`GjxL7$cos276V05O>P#Z@d+HMFgj3PmYEeW5Gwq
zb!l>jkcpHmPR$=8JhXG1n@5b$y^~WcYkrzAyWkjTDg2(W`S4LY)Xxaa+Ve_^meYjR
zhT6CO&p#4Q`74!Qy=LHE#OL~kE#HW9k49P=3q}c=&)3?~O$^Y-2m2%Hz7ic0JMJCb
zJwX)n9A`~>PY3z^$z+$;SK|EY#k-H(Cker03vFk2&{1^Ed9SbYSK_hO1m&O0H^L{%
z@Q2t>8ic~fwb_q;C2lB~bf2Wp5I<T^zZ*%SVdh<-$}53yMCX!#j?>fcgy)$VDvKly
z{{sL3|Njh^cRbZ!7{~1`dv7kTd#~%>OE%xfD3u=xNr_O=AR$teN<|{Fi4=-ZA}!MQ
zXrZz-Br7{)@AdQV`R6(3Jg?7q6O<nIuYRAvzU!%~-MKc4xjpZ$eCDJDhjx26wfawD
zZP9G>^1bue58YDx)<`NGlyfg-m72obwL;}rEf=xy9in7MToZm9e)}fhJB7K`{|Hld
zUdD1NWb5f`6wv<7VOsck8Vl&1i6bPfVr5Q4(tc(XNX=iLxbuAm3*2=m&uM)fv)G=0
zS|WxFF$G80oH^#OGmQeqdJRmF@?n7kI!SQ-<3M$}%RB}#wMJHkEbziLFNb?8304`}
zHd8+rF!5-~4+WoC!QZ?nJ10>CqJQ@dpi4`bzSWb+(O`Cvd@6Tr=MoXhRqb!?a9Y9Y
zr%rkg*>b{|#fuZWy@+7+M&41ybqza}ugv|<o*RZ^FBiyms6+Mj>!Duh8(6WZ-`kn%
zykH+wIjilg4$KcMCR;d}p*x$l&3cj_K4kx8*Y8q;%Pjf!VV*2-Qc<sWVW%J*-OC<2
z<*Nq&&<wiR%?d=5eL_zwg`o1tgXO(kYVd3nWG61OLsHF7Pdz&ku<$lcihrUC|K-P*
z6Ky!5_@?CQ9Ud`Qs`wGj>!}J6q^G@KExBPfDfBtlKXEWA%q$KisKTGhsQbu=7c^Y6
z*j}wkLgLba-Qx=c_*!P*re4PnTbkt4dW>bDmN-7w(nWwz**Cf<T7u9o@%nE16FKk?
z`E*h2Hv!%nzKJ-QCIl6}e(JwSim-m?e1z%@0U8%#N>Y_YVCcw`UW*JR(CsNQ<R_|v
zl4c@IH;Tfnw(#IyH5J(ZgSq5#xGE@qJjuw;5r?01J{Na462Rij-V;;ns=yn@u{|nN
z5>)M7WDAqjU}xQ1JhoU3WZ90I>f+MyQRpDFoFT&B>wfok#i_&8L$~(3ymH|7qUv6=
z4+#>5&bc){A%f-SiH3p83h=S}JaP0a1>AlOGVc)~L7*#pbEKdWgsgH-lH;iGM{Y#I
z<|7%#_vHyV1S*4gW{pyqBMky}Nn}XZYr<WQHf7?F3Pcx{JheMWhZNscLlr3+Bz@kk
zSb9tq?3pC{dG|4({_fGL{TJvkkQgVUH=_njcb~2QHPnU$U2<iWs5U%4b!pcB5)q;Y
zd4m&IwL!9Lc3XXy4$MiP^f}H&0*8-}6wk)#fP&(s6zr!iv^;Vg54=o<e{bll(Stf*
zCy?B}Z&@EK=e-}g_fX)Rx&vX)oDRJGFWA)E&<G?)Mm5_dsj$AD<N~ES(7z&VUv$F+
zGBa&MnB}#=uzthQQbY&vgvnjczhPj1Cz;=&PYVKx7gUX;w88n(_)I068B|?)=hsZ7
zfd{{f2Tu(h?#5WOhH;uhJ-fP}lsOI7d3G5vtJC0!M?%!wVRP_xy0_9oq`|1Ln|^iz
z1%B8X{``||0cuxtb{2imf{FiLxXWE50z}I<v#MLdl%h+8X%7{~l2aFn4g~NMAxg)D
zT7tGjN6_gaO}H{)a%@FI5k!pNgxcM;gy>4)mNzsCB=<W$dw5t9zEoJ7krOT9LBxl>
zA{R(-c*~9BCSpRMXsCBw-`x`2g#N34d6x(oFJ6i9X|TgKx<`2*pC!ES>`~LmQ-iF>
zgK^ybGnia!q3Fsz3lJr(bkgn+peg9@z-|6A>`Tdk2cs$$5SxE1Q7c{<ychYt`09+|
z2?oMx#+l||cxHI4I93skRrx%=DzS|7^QeB>DPRs(=>~(l^yR?Q!6q><lNr6#dU8hl
zvKbWqWT_FoDh2N<PUH~h*iie^Snrux0PN8IpLLw#kX0t-Fl)_;>}FnAM*09acZM&^
z)d@rOb7u0ZRxZ>XP!qGg1%oCtd*SwE0nptr)G)2!Ms;`B;%mQ~!u6w#RS_~g5WP3C
z%T1jJxz|q!Ee@JMdwhLGg(5qoI!sk|8}pz!DdVa_78CepBkF8@j|nFAU#WZ$=Rs!W
zt_*h#W8k4hdePOEFlH83_s%ce$a7Sx@WcTlIOs@-yS(Y!uT_531)btXm}Z?YZ?YkT
zF`{FxqCu=NXWwBaer|NNR_1WTPXj2Q6I_@z`Hq=>K71c9<3fSwlpiY*4B#|L#Gi{N
z6_btgN<4Us3*8&}AhP|eJ}~`JXT3*n#;=|ZeRfiZ3-PQq?m6152Q%`L2`-C0IH4&}
zx?6?|*_zjib2Iedk1uvBENU1}VNE4^D|4YVN2*F=nl1zi*V#H8pTI9l7&*P)#f9cN
z**|%+>%t$ehIXId(|A^Br#O2m7usgQqn>njD<rd9E1s^K!v`#so`2%vMh~Wf?-M3;
zAY(y~5*M|I6B5S$?z_*8eqkm17EbEGju)9?1*$9fwTbkaUJoABYndjtFs=<s&y|=;
ziq>$Rb8HY{&5LrBU*D7t(gqu?n*E-_OvrYoG}ikNANmz*Ie3^^8(x`{kE+`+qp;sT
zHb3t2BZ<XGyeEMHB85ljQPC_Y9G*&V;}t-Eb?}pg8VvY-AjtTB11s8?UzH*|2qGaj
zh0MW^bP!qmmAO}r9VHdDRL|%Op{K3>`)a-E(Al=!wf{T^Vp*bOa_S4Ct8C6zw*~01
zLr(a+$p|N6)mIFR-6Mh=%t!VoR?%R;fQw3y@8&y&)|Nk97ez`}f?qNMXkd*VYP<39
zq8Tyg1?F}!R5%&IJFH0qztOpqR`2=HAq~g*yqyxrrB~7T`X4PoN1xLI?rcFuS93^0
zza&w0nVN6MIW2gfcK0c_wIKSdXZQK;O=+Zlk`&^qq6I3fGDnFnLdfskl+KMqvgq+$
zm!)5uzTnTv5}Fk*jQEten14FSBj0PPGsnxRV40S>r}wo8>YI>VQZ!IRooDRXPu-(J
zG}EsLM_w^B6eoU|ZNCyqu~R6>%BR9LOlDRmNE~Hkb$Sj)E2E9V<MHhERFE&{*N<D2
zKw;A_lgJG!sM23Tm|Ii}q6cn%Bd16q7XR-D9xJJ$f%x<}*GpQURpjyMtgQ^vJCe97
zIYJFp*vj`a@zNk8fz;})B!@cRt()sisiW!f=kkd@G-wR(jd9wdfMj@nMSS<tKnIAU
z!(2l&7#`=0{C7hUwV7QuP3<Nj0d2RIkT5!IdF_|enyQ2(=I7J(_EJ#HS^2uJR0gp2
z94b{VQAS`bzqpQTqQvB8`LqoNSlc(IU#wR_U&32$i^a9j?!2c`eG}SXB^CIgae{yr
zBzCBpsnbxFa{I*Ch7OF!^H*sLtD)dBzr;6>X~^F$Xl;<H3*Yw~Jv^tSjvnnd3AU4@
zqwt!Rj3?*ypus(}@3sXImEHL%;^t0Ak7X{-#CGcgCg)k#uw4UfPckit4yU6Vog`@i
zXG8EQmFwwekWg<)NsGm4I?}N%_WSqS2%hi+OjR?H(HrK9P6sL-rC8?C4UU>X?}fRS
z?vKbwon6~9=p_v$zUIleKWGX)^^T<sH41WjnSP*=mxi+6zw=`!17wdsJelZEK?B9t
z*CP*7(WQl+ROL1R^@5W929Xrh(Gw~>vx9;N;U3h$<7N=9l%bz;go4Jr?lF_cHP8*F
ze9PN|W^k61a8-(%f-cUfz+P8%G<N7HllcyFFt0lNd{;0Tg%nY8f0PiA=0lgGWijSZ
zmh6=CqJ)IxTL~KxD@w@Bz_;+`GjpKFT^BE_&_LYli9554<WbL7`qj=Vb0{_Q5LnJ4
zBJW%LlaF(x&~LYm;{M0x5c2~IGWAeLTiU$emMw{*-^T~5Utc$eu9B9{2YhNs(ZI_8
z!bd^WqVjuT-r5}AJem2quYiE|+~FJvBJd!~uZwb?%;u2C#jYu7tb)b_qYtOnvZDHJ
zs!e%?W{}{(w_~Y63H81FD&RA?idPulke9SJ12Vhv7NWNz8s&FC`j#?_?@_#+o;LuH
z`#vo%TSOkk-B3|!2>Oe^w8_6x9tL1>%xQ~SunY=Ncq<ta-i?0{z~yv=0hX_bX%JT>
zQ5N;vfQV5e{;OQjL~l0+Ze+5ENTE0qU0DrR`B93eu5d`Mg_;86zS*6!E28LCE$ISj
z<N-G7I+tcxYyzGCb{#ntxvA@Xhh!PN0wbNH@s9TxgM*uzb<`_CH2I=&V37@BZpWJ6
zKbAIz=@U)fPf1%)TFkx%Mdm83<H&Zd`u#?rmur{FZorFXzsE*U!k%H{0|y7Z?;3*o
zP3I+tG%lnoFMf`}n}mH7i=dqwHh^CxkKa%%IZ*Y=sa{9tLR?6$b^D;60kq0g@RjSa
zp_^|b!j5xS;||-mnMcLw!z=c#jCNlZv~%m8jE$hLcoo^)oiV5fSLylBuJtk@!~0=1
zO*`7~$E&`UFD&(-Ury2?L}mm3n*Jm8aN;jKQHb$qFkcrE77SH<J63V=Y;lU+)gJt7
z@UNLP0bQu*?g;s}w2Xf`&O6`S(1&-F^>aQ9-3k-IThA1qTEdxW4F+%3hVWOpmUsV-
z>VT0$E?I=Jh(F_ys^yLOi+k2&*ju^l0B`WGYzLDC9DAX0v4rU#Ue}Uv<K9ngFkTFs
z@`|3vZT_*>D}0#56_`SHbUA9n4}UEue$jbcP=<G;EpZy(E<eUU*2aLfc8vG)w>iA*
zw)1>gz%2g2X5;xQX9iGLi+6Q?nZv)vH1A72JdcYG$ez~i+02oj8e%3hbNHQY%?bP`
z7jYr2q0a|S(&5|}=aAT)^LXvS?b;f#%lKu_#-H-bG&tPl-zr%@k8k;$Eq|+F70=`?
z@e7Zk0V781LT%Uro=sg#)7RO+Eh>tyT~OZam*}jByz?T?@+DgX-~4aJHte8Dh!&jA
zS$wE@XbJam9-iScV?jAq&jLHjsNjBt^G{mBG9KC_F2h#IitGaRuFubE!ug~egPSue
zxO`%1)Py}dx||?*7dO>}`$3P0FC*4)#dXvD=6syU;L3_oP&@^$b{l&;Zri}4|FIR8
z{N+MU(w~}7{3U~=_SmJkEGEQu{DCrQng?-sg;#OgkYT_0;%#y{Gt%nY+cc=gk9G~Y
zKmYcM1RIkdirj};5bpz_Mz>f26#kp-j6anGTb_pnI2f~`?JOFx>S98udia%I-V=>Y
zK4F<UQO1r6zF|KPToy(jNgQ-{Lk;kX*P`0laH2U^fv^F7QFM07d9|*E2>WgjC&mQ0
zQJH%@TWFOSx-Z{{nVlm->Bc*a<7+%f>rLL4&IAdRtKS!XLW>BtlM~m}r1;SpCCSkG
zcquevZAmp;PzPPTRK?d`0%+Oc&D-VIGH6s?rk|-*9d0BKZu>VYh!)5Ox&4Cj=>6}W
zxR8(PAi7rEM|TiL0)+I+4r@iEkOrD9&FVlsQDZ06B!c)k-HZ7Pl#tLh@BiMfs6%JK
zh^@D;7#bHid+EH~X3naf#1gECAXGe?^p_%mC|kZ2^Ar=%04b89P(cKP^w!<Nf>P+{
zyPZXU?bXoCaAnw#vj&i*A3dFxkU>KS+T?5niRiP@5P^wA0(+M|I)dBe5KC6&hI+3C
z8WyE1v*?h4>yT?CF;xMH?8+BwM`W~LRdZ+G1q!qtI;|hVp@d2=x-9)D&_w;Y2Yt)8
zP{D1>`Q*Mm%E&A;#AbiI7JArpZ<ooq7WjDFN`6|Tf?~cmhA_XNp+D{OkuNuU)P?M1
z*O!8-NKN&KT4xF!B~4qnw>dJP%D`wTCrk~Q`h9-5$CH7c7$px5e$s{t!Re~{5p^VW
zena;87HxEG{)?#W(XFuKfqg4wj|PgOoUJ=|TN|-_@#C_k=)p4optWNm3Ay;!OMK|o
zMiCc??U%(3!2f<&bJi#s?HIn3Wj>*eq=tv%W2B8>q{8jSc^*yFl(kzKd#R10^r{;+
z$R;o*fl6jqG?CI_l3xQ|8@)cq9Dl(G14&aus@roa67{5D(+3&oSubzf`#S(fhO%lE
zG_}x<?Dv6zMsyTva`sXGbu*}8(%6^aqJ?~mUud2w)IvF@zu$6oG6%Z}<DvIPT4;Em
zSMiK51v%~buc(y80w&H5m2iEfqK~Ii?DqX3qO0U$2mk99z;%P?lF1e-YMAn1o}j2A
z)%DhEc$Wpdk0+3xaB8A-wd?+cflA0GT)8Za*An(Lv~ADb++T#%iC5EQGH9~fja68{
z65_0mJuI{!A#Qgy`<8i8#B=SO=D%?ZNbr6W@+y;vk}7X;#8>ho0ah07w#OEb$D2Vl
z|EY#tS$r3B*jSOLSX8aTUJJ0v%c%BaQAML`>lI;dXYlSPf)h%A&4CnE@Gn?R1<BVc
z$#p{up7D~?GdI8-3=~)PXxJ(t!!1lFP(>Hk?eKv)eZ~w94&P=!!K#3^<Ew(q+orH9
z@1IVv_?v-sZP!z!I2m-6Lsc*(auL&%oP9YyzS(CAeg=u|ltfXXRB4T-HO!y$RMm}5
z?(6@t|7@$C7|JARW;j+d!JKe<dggBo4n7o3-+4$FwO2P72MjVpKvlH|44VSGl0<~V
z6#+CPcxI9J77MiPcW)e9HGvW4t<PUq@SrEC@APal3sA-4*=MCqVB+b?`lcfsD7@-W
zJE@)p*qI*+gSjz0T#K_w3}r!ap*xxsQ&`|zWX`Me0Y<Q{ZtJ~eY7IZzvLsB#SU_BV
z=_;wn5X^ku7GEq_z)f4uakBqlhKVIb!J1J6I388t9LYb8AN%quX5VpUU@m;`@JZVM
zGMX1mVif-3ZPxi!1{+N9pwXox?}|QLx&3(Pqe(BWlvA4fFq;Y9xbj;6{h<e*mp-aK
zDQdy%`>y5>>}CSXjGE(QZ9Qmv$W^1ivkZT9{h-Z&2ouaoyh-3m(gj_vx9_>d5Z1n5
zE={O&1KXz?qOG^Q74}8*nMrxHVl_Ntq}KNvnC7wM&pw;Fle~Z4Xd<^0qn%;3l<nTY
z0^|;t`+w7cl54LdeqZXtWQX|<rAjivSQc?XY?lt~X%{+Q(K3Yn`ua~~(3J_;raw~{
z@3mpoy(4~a$0$ZVl^bG!n1IQ{GUFj=L;R0Bs^5wyup`=qQagYd&WfV21Me6x$dx@d
zUo?g3|8in&>tY679gaAo9SjiS*Wl*}p1~?PF7j7qvH+6>rN*R%4j1>`vPMR8SnLT3
z6I&=NSPl7DySUS#umAM9@2m^hM4cmf<UAWRGzeuSP1E3RhT&Lh+ahN4h38*S7CRg+
z7G0W*qJjLK`CiWQW$aaLUTod~2T=JeCoZbcfMwQzV>*8oBX|Vg-|EN(D_=~H6kgQ=
z58r~(wdd<tIE~x*&nP$Cw%V~>{R<VC%KM9Y{F$I+*Pl+S5?*NXcw|;5z3HFLRrikF
zVFuNc!}5FY^F#02EyJ}yP56AxwB*<?7GT{FXy5r!0Di{w@cj3K0x~J<T-9_oz|7uN
z9uN?My?zU9hqh6``PdFquRL}*7Fp=`+F2N`IOUkK<75buCz8CjazeRtS85Xyft~)Z
zUm0v8gJ{5`tD{3);MYtef88ktk0PUkNbMwWaq9Sl;XLrAv`~0#P8_`cFm6H^3Cvjw
zCO*IAgX|NHav?R6kiy5mRf9$XX;o6P;NLCabp48b36h4h)6w6%=QRL-ky!1RBM5f9
zt2U*5vJi0IzUEbn2Bgp^=VeEPpq*Gva%U*Om$H~NpHCVvb*oC2YApgL)ctX?KNKNw
zE@Y?5Hw_povv|7mvnU*reK{ydQHC$mGVvE#NKmrYkSusi96~OeN{FVZzy+(QvHSL$
z_lcd>nN*bouGbM4)1_6Rt2ee-_cI9&C|&)JgIyYQtDi>Om8pTp_b<DTpCW^Fg67XP
zc3EJPNsSvlNQBeI%YDBsDd26rp58~4hjXF2PF>=pO^#A$i+9k3P~Em~A-ali`e4Q>
z@eVRr4?i$}vdPhMnZ*Jc$CMy-xihFVM-$R+a*7b7Xn-h!17rEhaP6^k*sCL2AZ<}U
zHOD~*5pTx@w;2_ff1>+lE}913hdIRfWf|~y?Zj__l`8E0ba{5KBOS(kY#)5yuMLAy
zPI>ir)gax(t0RVk0V5rg7FI|Hg0F0(y`EKvYt2bND$^JswP5h4%SIP&HU|=g%{3q~
z#PCNDvo_d$;=59{t_OT?M!MTClA!SIzt;|W+VJV|*O7}~4IowbK0`K#4F0!CDsSl8
z;3CNReetmo81rPdnCDPn=yb~AmJtS=@ePRFnQ8)}+ve30f;1tO`z1BNg#jfVk7nUK
z2DoqFbd4|-oNo^o3tp$g-&;eEQgZ=rr7XKN`cq-0!BWf7mj<g(0~EN<n!%9#X|~`P
zDqPBu>OaMx!prD_#YHW1@bYP3=RQP*?X+G&6EYbN%~YSG*KX!WlxIB})&#}a;2Hdn
zI>Zmu$vPNWfRsc$8YXK()Z!zkJ4b+`PD>%fNDG*Zp3JJyqyY1Qq;72?B`81eVnMjr
z0u*07`ZYaAf&x2#!oOG<AjCH4s&1YS2JhXfbxQ+$N2>{My~W^+%xMpgn-<_zEpI|&
zCc>h)S3_-q0C0xzJ*&610L}yZRU{9n0g8&WHu=U5${zU|<16NnofUteDwhE6qcjFv
z^D-vu7qFn8W)5{HhB3uqWw_a;lC*ev1e4ZZnW`Xea&({6M;@9I*mb5(neBOw&5ow@
z)|Z+=`R;qU&)5~f_7CGt#p^CS;CXEmlb#tY=l@;%_EiQ%DhYc?gmGN1WAC6?C4lfb
z!Va6aoBBK?Y;huY26s4E^jQP|ByGo}je5l3oyqC&ty&BCTNCz>cegN@J+9Y(L{|h%
z*OGbfTv)>IFNmD4%{2v0T7Tf}cY@HL@vgS1aT&LaUw9A51YUf4@7T!A4`G4gnOuif
z@J`R`+jIMk!CB6<H*S#&Xm{eRwjNx;j}j^s*oBN?m3KM7z=j<#rlQBLlgoI}yso#=
zHY1qKtB(K{7O3Kpo3Joh#)mDQYt3CU1o`6%5eJpmvG=~cPP%SOxXnvD@rL&Xkg48$
zfN5|M;}$qrHGXUnzcWGVKEQ7PCu#{g!!U~_7Ai-0pIX2#Yt%*4UG+D)sr}P6!X&0O
zwf^yG=sezQsU`ofOb?o-8w2U=BbcpF?yanhIeg(uk?htjdY}{18QGEX2dj9O#de})
z7H2QK8d82r7bJtm`P6#aG4Yv<x7&!bc=3Vu7?rlI5c0V~Lb9w8OFnV%^ylmu{OvO1
zhPmlhaA$maEmmKNxt=p^J!CY4Z(a0HX)o3Rrqa1_2j@6EUVt`qYjqlz?<VxWRM3IU
zg3ve%D#8PYZkBKFpT_GP!Ya#Bw1LT6?*oy$9{(rrm?JtfjqerDF31zohM!Tt_?~&T
z;j3=Jw)Pq`c;}vmcRuk9a6PWn%V=oF08T)$zrUd0`MV-#@SFQDi~kd5z^*R^hLqke
zT=3bY_I>=bI1Aqux<EP|g8wL7ENkz@@8@P7U8$VK(~bu<zE-BgM;;|+Tg`sl`mIUM
zRN@>ySel*ptAqvtlTv&qf(G%?u$nBhlzAN5t1LZ$1{aQfePCNTj6Zhm+_me&0`66C
zdB>#!E!d$VI{BD$6eo1#m((jP;n@q#N87(sp(fAP^poc}p7z4Ae7SHLPcNh@;Jj35
zRt$S~rELPgte7JZd~6lpouOT<VWkPrc3s+P!<fQLJMy1<x~${trKg3YZcsp9;(@}x
z*lB#*M+u(i7EGvm*K=A*GZ{#^gAW)RGx)Uwlj@!!%;=r$b@_5dGR)XA)IQvt!?zjS
zu~lqfL1uRJn%lu7=r^lf<JVijpRB8QJhWm%iZ=@;U0O9@H*4WG6ZR#1EUJ#kJj{-i
zJK)i7Jq_?Lxl4Glyo{eKI{Y}Hj1vi0z1FSDAp+I&=nDneHT?Qv(tGJ5Zd4c(l*ubj
z1j|9EP`^_f_<-BzrkCG%(KX%p);G7+ffjyB>ih~5GH9JXG@`o&xpBC(28gRek*e){
zi7N}Di3M2H9v4It%0V%6d1`Q$Yisy$4=aj$!Z{NBQwSY@)3jn>ss^Qb;?I1d*imf3
zyE>Z_BItHkb=ZkMRlw>6=d1T|qN0@K+h)pQ$ZO^9rO9Mfu&=b`E3)TCtmf)TM_DCM
zKv{2n_&!x2r(fz)yTFSQ1fLjnZF1y)d8Mu@Bvp`~WzzQP;7403B<S@vGRV`Szuj6;
z6`JV@Ig|Q==uxAn)z&IGR1vY9-p!{9?zsYgujdG%!2##)5t<_6^yB<!t)dD}p+i&e
zC?crc$%=XYt`eHxV=<h(Id_|F;KhM<QFPDsgV|*b6;wMk(dzR=6^_ps=Li;yqyKu1
zqN<w+h)-X&OIK43s=7btlO9N-n+eqy)sxgvprXcW>0fHl%<7l*@{=^W($u#q5kN#t
zN*+z?mFn=@i|={9kQ_QHGccdxO+v4fuVtS5MTCo9(G8N<70~Q@U24A{1-TKW3X4og
zus`w%%QYb-bc8LTOyDXNtyTCOTplMw(F6Bnra)zMgS=sDZbL)TMX5&jXEb5`P~_5{
z0TrZ7Ls9k)bkv2{)Nzt&Fr7Az6OO8){{a91|NjhEcR1Bw9Ol}4i|p-kxtD8YeLt>|
zBr73FMv3goNQoq?kTi^}QVK<AA@_*N_?0bL$%wL7M&jqs^ZxNZ?{m(1-m!m<@35hz
zI%?75)VY?d25gjlQ6FdJQMW@Fa!@5BOZV-|P10o0Ih3BU7Osf;o<He5Hb+KP_}2zz
zzcs)bUrhYGjYp*)kGPFQX`t;++O3KaE#OC$spTQc=<R_3zU>|jq{Mze_UMidSgQKE
zCUz2#<EFic`?v;LVys!n(bEG?>ce<(7F8q}nKF}~uYnvwSi^tB8Gu<ail|~IA_YEA
zu0}cyWVodpHSq<5NTacP6YWGa&7ya>f{lzmOU5qy?f~>R&yelpNQmgCxoKLfhUEFW
z6{2V;yZB^5p$-XUYJ3qXl^~(8(uDdmBNWI;S@EymJwMvv@2b5{Kriv1uRgwO4DXdK
zw0A0rsJ(__aVky`>8teTI*OS<?VaF-k`7fA`IFHr$VC?AdY(3#3^sxDAFdyZ%2Pqr
zUiO(8x{@d;s_cj89TRZN{$1OpKtTUB-(k9tCWPbyop07AnLvE%i}<r)N~oHv?3K(R
z9+cfPed3do2^hAPS6#TTh%OFkti35>K-=F=H77HgKym1RqS+&PH0&PpNoIA0`tN?@
zoe$Z@AekT$b1hF6MXTO!-<qtasyuaDX_7F8lE9TOSMNz9*-Hr{oGZVuyYpwIcrz)`
zR<a&ab59aEyT$&BU0=r(M!T|B*(uQ5{jbc#Rt#+fm_M@Nq6Oov13zv?8G$r&?37J`
zFk)ZUa|-aKhnUF(i{WK}f~@^Tm5PGspT?x5@JB|l3C$-C`vR;yw;~c|d6DUT2b+3Z
zX4nqNG)(KjV8?<f=D-*iVli^6`>w|V46am{$X-Lx#pXVp_h&_KJ2SKdOId(d#Vcgy
zrvczCA6Q)sWkBMLEImw(Ebxa4FKTcGP}fTMdvJpWMLfPyQkcgAL3(#3g7NzB;KK#&
zuAvR;sS^__FORT*iQmG3lg@fzFltpKp1VY~-Uw*8vd#?t#|X#zZ|g#><aPOO$`sY1
z{KB)SyUg&9YwCtj-#);PSiF04_#0K>*?9k|E;Fd!b2t_#vk%(iSeqZZR8aK-V#{yM
zF+qTRX*PuFfYN;0Z&+!?f*O)$=3g_x=V)3fT)Q^xGr=gyMZ?&KtyBvAeI^)bIHYb!
z(uS!Eze&;kKe7Af&!1k+Wr9rYm({oKYC%x!u%z;fSxisdcANN~2^=1Y_LkwaKy3dt
z>z2($Z2scc9uXF1;D{cPb2zUFahA8kDt@eBH;8@iKh85lW}}4qk!cP17SZXkCu<E$
zGI}T3#>fKAG{H1Ur!|1_{eOBNiJMrbb;55p!~!?st^W*7k>OZell{YITi9b|ld8%B
zRycR)9gkTc8G_dYuOYD=?Bqr%ajujNW;btMe7~s<_J%+1RX5Ur^!$bn%@{juZL6Jg
zy{-=RiDf}GTeQ&6@VC>+loKpU{-u$m)WJy0vv*yW4jSe1jk0>U;DnUt$z!!@kbZ3Q
zKkKXX5Nt8p(bmEZKi=CpavoO$FM_FM;5P=~tQ*gzHt;}G@7awwIyLw;KdwItOb}+u
zSku_c3;b^8H+joRAf_L0DD;jQS{_y_N;B|-Iae<&w<ihAt%d&j*|NfnCu6LdjR16A
zY~o!KB|%bES%V5KI~4E+#k;%}1pAXw^H*z$uvOZpkkiHi*NUC``6xobnC5cE#F_{>
z2U6r$s9fMVEPdzwv@kH+@h3c7R)zW_i%|ZX8`jvI8{WMZfrOlqPS+Auun$V=h+^S|
z5bFdcVv!gm`2I1A2v>z1ySnGU4fvok;EBgZwFGnw<!+cASA}36^I_LSevtq7_-gBh
zB-oka>3m#N!Dv3{9AQ=ftg<4nhbc;ft=H1{z%Gx4P6JK&nLW_18zaW!BLmUe%Z@8A
zRbkEG{i-5P7+%R$K6+d&3oZTfysmqQ;4nI9-&M7D_dQ*Q^F`!=&nogEUjY#~yOXi|
zF`{6f8=;?-r~rAbz*?kC0t;JZI$>XN7+EpRR;R^-+*BS_BaZ}{L;<_oT9Od<D9qqT
zq!Pr3U1>P3q6Wr$Gqp|{OTk>gyT?r%%Ami_OCj{BL3EwJ_gQCYFj+r-Kh0kSVun`j
zJPOo-;3IbB_5~SW@!lx4Z&!uSgNyI>Cy`;Q{!8psjx0DzIDY%gMuJb32Q2;5HQ@3T
zaiG3I4r02zR2#BM5HfMO>2$3o1REc&$@wV{mGY-DQ+U+i9&Xb-o=zKV1#>VNT19a7
zU~&uaQiDmH`RQAybb$We-Xbyw9%%B`2kO$*fM=mv=H}2o=vIuJ<)l{v+FNB37kBYH
zQ672EPU^wgfVR}sVI|mq<RG!rO%3`5^MVd7>4Rw!bs+MNGTiqQtgl}u!J#voO9w9*
zg7(*<>@_I@G{2hVDR3qM2X*>G<QfL_TukrBBMG1p67+<DhX`M|a~IW00lW`fe&b(A
zfV$&i51w(Vz~Qq_!8i*eDF0ZGow`K;-F9i`uy;x@Shm6G-EIVl2UorCnGrzNrrh=)
zNf91#-ioi%qrkYCb;V-6GJHAr&;5Cn9BiYr_?$!vj25KEMlvab*4lqAD@Yp3GNglD
z-cmp>H9=8DR0)1tYyY%mlZ5F2^TMK5%I-azkzyF}ki^J0adBcVNM-M*UV2Y~o-5=W
z;V%l%PNTRu#wiHV8h>ZH@+okm-ufxwqC8N2XwwsmdEnqkilgzFT|En&@A(DgKttNR
z*f50+l5Yn8c_>W*8s3<g;m0!IaQ<l~e=j{yL&rMbe>MWU76<2L4Qa4k?wBre*v9TO
z>`jsjGy<M0d8$JnC80v@c*RS)RqVy7#J%GzMv(D4m3DulICwMIIpyw|#{AB2JKoI)
zcr;f-cUe#rp2;yv++82WjtKkWZ8ZTfc+O&YT^OQ6@8BB=t=OI`$>?}G1|jS<C1DDC
z!29+R`MOLxmXM$1TKmorMAx$Kc+ByGU>2U6mZ6r~n!qLRJ#7HJ-;6bDe(*x0zR|g`
zm`~JG$A=j%i5bAY(=Pou91l#4l^?j_-%5SoNqhE@y*}i=uI{;*!wH&`cX@Sww@^Q=
z1vna|=|P2We5G?T8>C@2O%}@^squZw9p}1qVI#;Qg|3|$$S5$A#TikR9FrP!MRY-U
zepHjooe_Rl^P3))FQYyjpY6Noy${^uZNxJ4=pp)fuVcWIH0;Je=4;Lx9boQ~VG47`
zL6+O|v@`zI*tb2hdmDLmKxUrt%DFeYzP+@+VeVHG_I#o)?M$FHsGI_$uKaB*yXaa<
za$+Z@M{_8tqg@MX<2l(r>uzC1q+9z!8v8IirD&d3EiEvMlF*3I+{BE7{SV~}eaF%(
zE`1;rXhNDz)3{>7IwrjDv~~e?6ze$tNvoYp6O>ljIYyP%ux5i+XNSKN*r&?+m0K|y
za11wAeNONX7S(GrSqi_f&ptK24jW`Rbr-K5VzP?8xyC1)erpChoM>FObB+vTyUQ+S
zWh>Y_Kcx}J)p<-q>o6s3NgZs(-jA`_tzcjGRMTs{Uc@5Hu1!5TuMX{BdO4mdu3%yx
zT#bZdma$8HhVfT7)j&W&UGEKX1-m29+d1dDiaFo;v3KLD8Zgr1YhzBXV7>78zY^Ou
zEMg+>{WiB6JXrgdxZb#et-EfBWVvo&F4@n<ZxoQA>QSB56YEthmF1NCk)*$vm1U@3
zo+b%yUiRmDL-z*@x3Q9L{q_$_$Ot{)mqi44Kz=qn@(1gGdc8*+PXpXHq}+;k{ZE=-
z+{blt4ZHtfGPUp$Eu2l<G-cydg#opHku*XZ82WZYJmfbHdKMSsOYKzP1NWYOp7Wd7
z72m%K4I%VE{Axe@CYJzKS}iMX|NdgLBJwL6QjBmVinij+k}}}KL(BDF{ll6YBfi%!
zF@bxwlLn`iG7ukB5Y89uU|SQ3ne;O(FqiZl&rq@Jg9E8$%0Flz41cqIfrlM9j52~+
z#FgN^%Xv{3P8=jYk?Pv==7h`NMeqK(jR#%H0ESR!I?$+MYg&%r23j*alBob5G?)$D
zetx2d(c%Lc1H(M<j<!H9J6{nZ)EcW?jxxe57o9@C2Op>iMbL5TC_<C`!?G40W>D;$
zGbm>ffXn}-M9&N=0501s#bbp9CYY~a<X%BIB1|%Fx~TvyLav|F>DfWGa+TevRS2@n
znm3}4C;;zNnj?c5C(LbSo_s#N7sPJeMm8!6&|i2|+{~35Ud0{~P}LQKn5Vhr-}Wki
zjZ@$t=PMqle1u~qzLkKlz3e6$QVLLg-t+2l0w4VMQs2i>QwkVfr!4<7RsjFcJZVY|
z{J<rZzqMT?4I6#uSx(0*z%$Ydsl%59A->5!@2!R`RPRg(8ZIb+lX5X7>ZlNepEmbn
z7?6W=_o`q0xvB^k6heb&T=v2*L;Rz#Oa+L^YP5Y~j)x4Lke0`>qA<sO+CIb|52u#x
zd}&OTK>DWOlj~jLKvrs~7_n0Zmk|0A>1buhQE#xFdMF76(eB^g8LI$&^6-s7S{0Zr
z%#L|FF9ln3ai-ncMBsO5F2(QuHz)C-P^E)1K(|tPPWcuI?!SA}6n=pO$!{%xr&h{B
zO|0av_DD5Qji#$jc)gqBQ6J*FWaYuyyU;1kK^<m}7F=kRA%h>y$E#Vpx;J7MoEvz_
z@QBndC0VBd5iwzc!fbfBctEu0Q4txq+gGL(Vzq#0I>n1USP9;im!?j#Xh8k2uWMD1
z4phThe$Q@xCB%7pg{W%m`f0-l`-{4OU+-~1O9ZGE<@u1rrU6*EsDo^VKHOg)?T%Pi
zfr8ra*>joX-9FOwee1O$?AU%di9V?UZe}h^y;mKQ1RHX0p9EldOUYGsAi`L0mG9en
zH5ga?2G%Y{a5XlyStOeXO<GT;D7$^pZM%=Tb01}wZ*d^yCJ}lG*Ot<gRiJjsT&Zt`
z0%AQB&(CBc%)N3qfek!x`Z|X5#T&z?qLbmx*HnS(`SmrGC=biJBQEVT#t^P8J|K2o
z1x^j=++KE)2BY&v?+oNjAl03Jy5t~X*A954rZmJr^K$0CL+U2rxX@<)t3wHdy-)GP
zC<?-_6-t$kkO>flADaKg<6+`hlcQ?{7pyjoiF_V32Bm1DiUv0YSWcJHI3-ID<mY|1
z58{mBV9axaoftW|*;rO4`fUYMYU39<DQXNBtrg_t`!bNR5R;&r--%@g?w2wtq(J1a
zAi0^>QowEcl>G7M2vyH)ygFBg0`uw$y8Sg0VBzR}rHHyj_5S)vrajjPF3U&$Q&AR$
z=BpXO3+bEGLwzMKBw-`?Y0_qXqDcr2)EXqM%hRA=4rOxqI{+=h7TR@L0#NXCj$K6#
zhc=>L>p1i8=C$RSn#RYxz?J7WwiHN*6uGXC#1b)Z9Scq18{&chYj_5#^ho^;RkjT?
z1Qk{XUf*$6&{Fa^!5Bl2j`nkUEgdxg^;xg$LvD-^ZQmj)oIsD7a7VrRBlTgX^oDQv
zAsqP7ci_XE=#gQGZiI4)9>hGjvgWq`ANKIkJJxrM^r$oU_$QAax-iG6`uyALKiHz;
z^B3h0=#W)q9h#BQh3SDWhI0c8m>yA6zC(u&RY#rPB75xvuc%gQE7M7=ySP|%q!WjJ
zg%2DquGE2x&tqz&W(KhPr{lX$gyYbY*QU##nRFohvAkX3!;jdR@E<ieA`VRmIz3YM
z&<2tdUaU^4luF~^c$)n$EqWI9&*{W_E!eEivB~Ugr+y^b94Y)xi?;s$&EQki0;|n$
zW4fJ#RDG3aUqp8CYXp-}nsiM#YHW^i4USP26<!%C?()Rb9M=1d(}eHz3FXiFr>Lch
zC$I5o;?Qxo6^Z;X4H$J4sLi=JOLc2YC?8A4A)l!R@xKdX=uq%JGWctO`s1^;-$h0`
zv`#a>Js3cSJ|ErAJ%5*|O?q-pRe5xX97@b4E~<mwfO&xP<_Z-xChb4(Ophc?!Dl>7
z9csJdSi9%{P#1dyZR@ld(4`z!$_h>$*wgurN{_8m4F=x$ARR_zb}Y;1#4R-_zh_AA
zJ+Mig&MH+Hc4a~-I&(cL@@kOc6%*|FeT(Xq&#UmZgc+S)iL45&Bf)=i)zsM4Z7P*M
z&_`Q}72(gt6Ah1%AWkFb80{?@wBMv~D!!f#9mqGE4&NZcg2i6#us5{G&FB1ixl|4$
zG6-DiW<+3;m#UUt#G&O%jxS$taG{|ExkB+ARdBwNB}I$TqoR7%)8B@<(R6sYde^oJ
zq`kS}F7Su}Wt=43PvqrANH!~y(N6_V82XzA$TK1OOufUFo_vTDk=1#3f&ktx3iXsf
zGNY;%<8h8Ie$+l&p?K4e09RFX<D%kO(RbPFi*25Q$kmBXoQxyDto6*fN`H1#^q-D!
z-X0<3^Ea|<t4JBn43HINE^(qig_5<g3&MzesynCbgfdtSRVaxa<3>4m)mzRjh@iAn
zK7KCB%Frvy&hsjj2W33&K1382N7S~ZB0mmg_$n+bl|ICadWE>|^J_^We9M+-DYG)L
z9C2hjVaAUl$c5jPL!{6Xu~IWTNoANAWY;Qb6+mfan)N%)(nxH@a*f4F8Sc!Ukr)ox
zgF^YF9dtBgQLHfc@6}3Wa9pCeimC~t%$13j{t7u{X}+dYuCu#agk~L;`9#op)W{}m
zqJRujwCO3+1ekWa-(e{rhIk(xrrA58h-A%Nd$>Aw^Q(cQmRDN>oxi5@s3uJb#osQ8
zeKoHNi<J^_cWNY2(6rCAtqB2XN_33-$dkYme@5)qFDZmCvy3~vs)C+!3%>0CLjn^H
zQ<1weGDv#Lr!FCzh`dh4?hlz(1F?s{9{%)_MNu^jKhy4z5Yv{KO+Nz}%wGl`{8}c5
zMtk-Sm>pC@`;$36O3gH&E`Y|Wd_x|!^92=)PpYAd@duL$&op7kl2$X{P!atiUxOky
zb!71>wxm-_8zLLDf~jG6^sd=>O{Gj7wS_iQ=7x3Py~xeagd8R0=9wSl+@g+TUxu=H
z<m!T1OG>TzV`U`yI{5Emu{wGZEu5O_s}K2ybSHR|2uS$xrb*>Nb)<xsFi+4mgbxzr
z#wVBxip~<ZQ7u+O*NZXH^nVyMUvr`#u2VrN^jW^=K9SJA6Pyn8T>$hm<NhNwswhDy
zcy`o=h@#p=*lTVX!O6k1C0)DtnAd>SrxF4hNWDi0)}}z-m`j0GtqK~ZwNAYH8jnQM
z1sZ8<Dd1dXtN56#f=Zo{Q`Aj)B;=CIxJS$wCSiDD&4++4b;nCG9FajxR-<-4M~%Uf
z{hG(pNo8bf^IR`ZS`wB1XHZ=eYz#$<S8F{8O31$BwwaUsUbH?!a?A2I2J_P|BQl#6
z(RHJoLCJ7_L>t;{J#AzRul&{qYRwdoeKwDW+zU=rBSO^j!5Kr?Yo#Ia=W>Yodn><m
zB?CHfH2IE183hE7)&G9NB8#p(i8w07v_+kD3$NR>+}*SJ`?9<}q><gbo;S<q=cqSU
z_fCY27=gm_*&ZV#i3T@m8+^RGsA*<>jXwTHFtp{Ul5|)cjjU)LzIvwxJN3ENdHoLn
zGpF9Txw#06a>&d5C^m-ON;&X1B?`byh#@}OO9+WpCN<hqX0R(SE#=mj0eS|`3M5nt
zpcwtZct-0*Y|`U`$FL#>bWJqLnd*G#<lkAAl%va7zNwYKbyGv=vA@tEKf#Sy7f%?(
zT-@C&)nBV8ybZwVzr^a}cRA3<B#V<iQ!7|t{4HCLbbT<s**Yrni3QDU{+)OGZv|tu
z%YQ2NK@T?a<E^hdF(TEcTY27=E10HVr0d^*y5Pb6qc7By4uyJqg{{UdV;@CS?Q0Em
zAzJ(%dw)C)vUW@qe0qBcYim0($Qip2aK!<K0@SytG1(971rirAtq)lrGuw4wIG`W@
zdSZ>LcyM3QrE?3I)J{?|os15oB-qO-iLOx167GAlQ|GYIt<>T_5!#@mCc3w>X@OcD
zNas;sGK2AUS4_(EX~DUi<+{{&)6}hN?hgvz{>F0VR~(IXwZJu*$x7nUPpZ(jvdlA!
zQ&{u7@j3q8y}9{E$9zp~l=@aZF{;sN5*sY!DnHJy3GRN8m`&aw71vko#<x6yrAU?Z
zO<&Xieet4#h29=&gDnUCU;Q{1({;-<ZJrF<7paR89c|Pf?nd^LAI30?uZIQYPLsjT
z;xX-iz8|PCb@RLP_9&)sd?zesR2^Qp0K==KH`LP63xoD&MzN3Oh$g{Z9o9J|em;DW
zPaS7WsEK19#ZDyo%j_9f1G~GgI`myKu&B&H{=~08ut0IT8oo1XaOV5ZA`kvb%%<Xu
zD_!poENcI$QqN@)%!!7k?)h1V$!S7u3vLwaVP4Ljiy{GK{OgtGiAF4JWVUL<WfZdx
zIaHOywYxVHPpouoH)E8zVSn8CC>D1+W9^j*5j-PiMqhsYg1s7#sH?p<hJ`)u@KXp<
zg<@>3=1W5dR{UhbFgSc1OAWqP=vANsB)gujuRPtDeoU#!Xxs!Ay+Ek3=_A1YFDz%@
zp6JC^tK04!Zv2S_=l3%=@)Mv(!M!s5RUanZt(TCdK83x^KCV*WpbTEwM?Y~$3}A3e
zWPYvd7q)iFUa2)l2`s3r;gJPH*d?h)sTWG7F_AWoWQE^&_`TdqW|SGhM%}M#KdGI?
z7UaJ_$<@Pymou))Kj{b7;#j^m%&>snw4EIjxupm)3Cc>mY-89qgB-QXY7vWHP!LX;
zRe)(hGe4E5<Cr$JTc5dh3CmBF;F~(60CnHL?3efXiAi4LNqA$kyYC%*WTh(Qq0C?)
zDBpStqwIGbNa6m2oyCQXX^P21PxaZWH{5??&jOdul<uryEMpox_#1MNuB)+Mr*H<l
z-#=keDZPpPn+&L=r;&q8%FFI2#OASsI?{$6m$xt)BbtDLa9I#KfNXMqEnuki*w0qs
z9qigQZN-*9GBC?}YUhyG680hO#v8_eH1PTOOU}&;GH^poqB@j$1#|!Cp>s4H2j@Np
zGCah|zzCV`7@>O=J8gcI|G&fZF!=dO0cV;tBz^lhG4**3i{Lqs@{+;`v1bK7Wy?v!
zb$8fzZ*v0+)G2)2f07xxaI72+ND3~5<+JCW*uv}|##M$;S)q7rl|$513PuV)Gf(4o
zup1^>gL+OJAcHUJ_T-QPF#&=8%d0ftKEmWuzLy*JIJ0KPB1v%mC^r(GiUa<-l?$!U
zd4Q<X$D9`_30S!-o5`-eNr}@382$Kw)1$;iz)TV>#=j2=nleI4lg0^>g8&?iyniV}
zL=wVAI`g7@m|<Qsf?^)L2a2`2&TG?1!bNNSRL>8r@ceaMq;I`2m`Hsd8l8~<{KhhD
z9_N6zi8lgu7NYPn^|yrutt6Q1di-z~<p#;$PlL^PB%mwn@q2e!NuV?um)AVw0T#Kg
zZ5MVaX!;jW#(q)~7TUygR!;E&u6E?_-U?}$d|;Ch_(2kWX_6=B_6xxN8&9sxN63O-
zn#Ac0D=Ap^Tl?edum>u_7^+F9<)O|^8r@-(h5~yLi;;9;cp+HBEFY=}uPv!=*H)z=
z)Govk!-+yXE9-RLBPHM=y~p2?m4ySc&q!4d#G%PEtUY{@05$3(Rx>$rpvi0)@~~PG
zEHR^hJ9b2PxVN|~$WH-^hRjX1^rhjOVmpV@2ni0-rLG*!#=|d>%MH*i12+q6h(iME
zKwnYMby<@DuQDFWW=6>Y(|5O;SR*p9;mw#1?)pGe;fR6%J_VQx+_8P^r~#Q(=boyb
zRs)wV{j$|fMUXhD*x+rU34*f%mj}*}L4a_{YF~{K<n_|B%(H00bKHFH*J4dbdAfXb
zDS!Y^R#+~`U(*8Lep_*0NgeQK<Bln2R)wbTmm0)Mv>;N}R5g>T3*TnUCZ#VBp*6Go
z(Wsvm=nLVFz6dn{y?~)CHYXAYXCLu?N7aPicVF|{>;b^3_~t$TLISOg<gVa64S25C
zH74d|1RG;&#qz>xaJS7`k%5~G%yH)JmYEb-ElGLvP)!Yj-lm#e7FPq|mLVmfhr2yQ
z#9}guUkzxdDXAey1%z!mT*bmoptae0dl`}7<Ses8`VU3m3gR4X<2HrMIT9UTbx3gb
z7yhfwkPL`P-)nO?V+slkR;*35L|Afg%yb$S1F|H|bbg#E;QY;AY+x$z{>AJc!X19F
zN$b8_<!cH>e{P)RFi?i*6k);oqq~8hrY0XEZ3+wG-h~=$c=-7^Hd%c)-#fz!Jk?*C
z0DqFhPC~6b)CSyn`ZA-3`a1DQ=wVe8Xu;G~dfa7!GW{W-JAH#{ypuC{_?|H^*7fYG
zW08iSs@v+7b@WL8ppLP^It6G`DjRa6C7|5>)3MsmtcZSy@9UNW1%P8`yHZR9SSG58
z$bbv2{dksX@x}<O#L`n0)&=3pfse`Wm3h$r00030{|uLhJJo*_$8AE^wfDYU``Ys!
zG-weDEh-feQC2@ALL!OEhzMmgtd#A08d8x&B+;}ZdyAic;5_F!pU?Atzh244Q$tKr
z=AhsuY+Wr(f@3l#yTvv6Fqi)Ow~?y=ESZ!?$Jn@mF*-X`sF@Fqe8km1FaWGZcpWec
zVgowM)`4On60Y`fFtpLr;PeT%8`9wnaQ4X8i6m7L4wqNmS>0>~f6tw%XjNaPfu5s<
zi#Q2;YXj^}l}+KuwU5fTd?#rUzY;0@^L%*Oi*(t?&IF8H#Wu6O`$pTLU{-Ujkq<rA
zqBC4#jp5?8H+c`OBZ<F(nHfAc`A{IEg}48$5!AOlcn=SIiS3R%gR0#5a9h}=?c)MQ
zuxYqUl67K~XtFTaGj7F)oA=r~CwLlyTEaKZ1eqD4!Z**Q#()pIhXj8uzcqkx#dopO
zW{U)px6s6m`S2vfre4=HfZ?Qp(A)j1#CWRM0kGpkKAoFt%~|@e@FmHI_XZu>#gvp*
zh4Z0P`_#E@{QBT<)3k9gjsZ13c>CRd#fM$0WjkuF>p?@k%3-r(OnCUS8e5kP38~I^
zTNX%qFcJGYs85;&4}VY@_?1dR<C6K`gLiZxL-6U*f%mNFI%#fdPUgqU%6Uhl)OBIU
zW1e??KASK#Dmiv<8$ZURHQf2pr~}Kdd?JvO1GT$C<2`N&poM0Arlgw=2r17bF+bqM
z=tT81J!b_`yW~dkxlKB7A@Lk@$u2Ie^4me1aTmf&ck^KKGi^9j<y~RF#EpqnIl6Qq
z!Wht7cKGILZHV6^vWvfm2k#4IJlgg^1bK7v<&?<UFjmmaABDX5O#BSp+Kedf^^EUw
z8>4~%&#98yGCmCNw36KFERNA;qSZfZsL(_6n6NJ)A=Bi+d;C2T$TY&Px$6cMthg&K
z*4FSNFJpzHT7VQz{N57c9zX^6koYv6P63?k7IThBkw#gW?|ghGs4#;>PTRU5l0Tm-
zY73J=*;5e?#;#OIaob+vVJwXNljgUr&dH*e<E{N;?o`;7BORR{D}rlX5kJ28$sudc
zV;8tcg#!U~yv0MJDB|lXz#SrwlKP$bM+>N6`Nw5zhLbox3{DPQysCgHYnq*r->E<n
zHg*`@*n6#inN2895l_glH*_j%!{tcT?EEuQ$o1+jSk;p8YWzDQ?6Nkv6BDlYE=%M7
z*7u}}k4pHNuEHj2NgIwE&g^MBB7>u%PpgQZ%4qI>`asP^9UzBGc78XKMJo%c3fmwB
zGtTbzE|SoNfF91GX%RV$$u8k`?^Z$U&96oM+H^s{mj7Gjk{rI15E<nxSH%O5_oqBg
z(*qj0aNOgwJXYUNj?4B`!`+E=$-Dja;p+Agwzd)l)Qr5;9{EoVdv*5mhq)O*?|Qe#
zws1vE%}cYTxT<5cLxNJmaYI-RKBV`-oQ(0$s$(u+RY!7O)M&4_5hN@Q3#-kLv3RtG
z^-733in*jz^+y<k>qXi)YoZdmO?mChRZ+*pldd1Prka3!sq`yRUS+)P;-hDis)m9t
z+|u)frttK9kb;N5GLoHNNJkQ?$h0TPE27j4_I>!w5mcp&+yklS#`0Cr;gZSg!v!>$
zabNoq{aG0WYu18!?J2l(iKL!y3D9#YqOG<~8F!}T^@+A9;e$XX?<4mC>H<`*+vh1`
zP^n$%8F4aN_X&KvF%R(Sy1wKi8)ZDPvuKXZRsmHVGzA~%nuEp<$@HC{m5_Bt-H$jY
zhr(xc{==i@kTI*p_ufPaP0CK~ce^Qr<62i{o?b8qslD|l>n@Se?OSyKYlsxScROk#
z9$^klj{YoerHaVh`r9mcUJNOEVVM#E=5YVli@BsG1zaDQb4@7{#{52ti}OKq`0_Ta
z+qqR9>k^CPZsZE!_#Xz{I;uIuzJBQY<*giwYu#G49_2%ks6`v+H2~%xPZk*oSzK&L
ziVThB!7Fnko2(GvXGE}mV7UxtDk!->8Rf(m{sy737XSoBLw_GEltzQg`87IcH=*Fb
z8@5SxfC(qjj9e=z96u{t9eRTWEq_Pw7&p*B)vAB#wVeb?Y@QYKwPwP%4-I{Xg=uj8
z!sRXe=f&_s)OBmFXa*EDl`GOeYX<)7HOq%eMX*Ftu_@4i9?d$_p0T|)h1mG<L@#z>
z<SBKDd$ErWHB&n%-D0M|B%o6(7bS?DXW^q%_Bv7jYU03qKNFaXt~N@O6hN-0WqlLW
zb>i2Ftd%#-#vuQ&Cr7u3gp}(Et*N%_1lLo`e|}_Rh&h&bvhNum9%8CX^Xp$Hl!l6y
zw#67hhKAh~Qw1+3^e>Np@}|R63Btd#h7F<R?X97<HXhtI=fWc(M2|B=oI|yH41wv+
z@tta%Jece>D+UAfIO4;S^S;Ueb~hKNzIw}r?`|B}^63);-f1)ZxS(hNH$QTh?R>Hs
z<&KsId;Vg?;8$Nh?N8T-_1LVv4(*&cyGxNXi-Q?mSTiIUdGx{W*26_Rc}|o$iw_3&
zuwablixE=19_Y+4zxkHWfvsO#K14iZ#iU^7gE{PaAU`Ydj&S6_%mqQiBQl$?lPlBc
z^)+2!beM=+(&4}}3902PrR?bOh08NXNEg1QMW?izaNv4afWg6ooTzVo(9rR|4!jck
z>+<Cc2gdYqZ22R@h3)_5Gx-d3pyPQj-Oy_eyd%RCY|O}m->0pDS=zKAxyw;qdOIhQ
zrc<rsnRzihUhJ>;8Eu%qLw+zj&WTl%zpwF#@L{2a`txKSZQ!*ZJ1$YX8Jm<{rnzV&
z%nFwuepO8czUxh=(u=up^M&}oJwf~!RJTX}qz4uHUVG;iz2QcYAk$ADn*^{b>8IY1
z6cuVOCe;i?@nD6GF50RIVGsqy-}Pz17MkpolOZokO*hg%cp!|`zw-O<<!M2r;<+qI
z20onYQavGTE{elV%@^eSw4g5H-1(~Se5fbt@w#M647YAOH?V1k7Hle<@p{ru!g9K>
ztvl)^@RR4Hjh?C&{CK)o@$OfC40}9y#`m5S28V{U<cerPpHk?}O)CN@8{lb|(;<zs
zwG~MxNm|h3qg&yjC4^zgr)3I$$>5g13&)>{YJsO0c|<H+82x^A_*JdRB73XJi{F}B
zAa7$(x~pFVkG|6P=uni$hc;jK9&p^4FKOgF=qiSfM7H;NIV)`RPtM@&L@f|(_?~=W
zRva~q<`x`oD&pro{in3QYJq$A#RjD;Ni1@#y>|N(8SC?c>&lI(&|CQ^7u2P(UFX(6
zZ$V}3DUJD&T22N1ykpy*2+E-0)}tbu_ffF%SLgv_b8Wby)#f<QB8z?*OJDNiRIo9G
zBcgm*8)6%HM#TTgqG;h(?<1wE*m{<7;ZczesA-YER?N%c;Y)%?Z5!0k-u6zWb(Aio
ze-PbVHz|)L$84CNK2*o3O)ArW1NFe{El6h!DWGj@G)2ls1LvP;{u92W4|k5*+bVrl
zM2UXavfecfyc@JLn3`t*Ck+fHDr(61qQ$|wUP%)<GwwO~e=>yGTD@1~1SK?^2}{t?
z(8MYBIE_ADV=%28t5vX8MvDTUg9o`avB2z86Lp^n+^g1`v>H*yV<C!>Z3!B<&YWPU
zmud<hV4tj;I|bR;8INf_P)D9yOSk@fFax0-1yQZfDflROtiIo04VB}ROPLpFkl*5a
zxonDpcjPKZUd*fDmxByjbRz-olK;H6oui;Wy&Tm+kAl4$Pv*J^8(h>>W!X%@l8YH5
z_U20XreFN<(gAa*8dJ|rKSx2e-GZ6Dii-HS%4Xq1fjOvJAFTQ{p^RzzS?v24<dCV+
zOzv@?ImDSis1mnS#%sSr9$LMW!QtLwfy1lj5OZje6z!{ol<Wq_5FIJ>7=O~5#bg1U
zd@h>%FOu=y+iALcBr(j)8su1CFo)|gn^FS(6)}+BPKw`12t#*jnB4C+hmyF?DrLtF
zj*<Hw%uq!_4eRs-(IRsgt27FEsv?h9b`Dk%sXUnP6jaRTWe%=-Z@()n$>J;Tk<B)B
z9N5)$PryXp9DG@xt#CKWpm{T0b(<h7c5F)6BK8TO<*1jK=S^v}>+ejP(PzZBff|z2
zp#VNjQz27blK9NGj?I`vhp!JNB$vwpWQf~k`)7z_NMg<*bFCHP;~Vm^xda--{;AsZ
z=RZ*_8ah;R+G~M0PZ~a^(QXEAYe}5vH+XcL&^7o~K1*yb4QCY-Gy_q~+fskC1#$Y>
z_41=Xripi_@^70TG=(MADJ9WievI(5rTfr6ML0RIoP3#U0`sSHUN!9_;hsQ^a7oW8
zV%}vg$7|dewgpT@(v9$9t;DQiYr+)qSa;yq8)IX5nC`Z!nZtwp#{VKoa?^w-gGjgL
zH6sX9IgOdiT=+CVys%wxhG_LLf85(|2rnh#!X_3taq@gm>RG2*LU{08*$B-LD!g{5
zDCl$GKCOR#i9K@!tyi3MBHI9}RMW|CDmJ08hp_>Xyg)Ry@ZH?YXaL<)BJA7Fu;F?6
z{dJV!CE{$;U9m@=`oJt%$iaV@6%`(C65bZOLinDSWcKOS1NZ&S`(IyVLGxXCBN27~
z2xABgy=kon@rn+Ua-Gabdly;Gz)pv`f0cEF30>H0)vc@R$c*8c?t%u}>G5gdr<6ql
zT`2nRul^n;W?a7bSi&xa0ef3dz0j}J0pYr%&jfmyu*z&}$IeAY%t$Bg>^0N@=YFm;
zSGt%mg5&(x6mMp9>}H;wLT&gGnzNm5kqHNdKUj0DuwZ-Pq(|H?ZSX%OwM;Q(MuUM0
z+n#JT{3Q38tD%<);mTcZr2EYH*NI{GB^P$g_V@qw$d?N3<AVHR8Z1bi+F$U_gcFZ^
z3BDfAK?RqL?LtdEEEvCLwo+!qg$>ci9=Si*$YG0r`zs4sQGz1uZ=lYDM(*P>`FphB
z0{g45k~B7)G&s5R%#Ih0ryYMpE^0!tMM%iyhnui)^_+FaRX!{$pKWw1)Py?QZBc5!
z*zwJuTT?ZCB#d~H)Rufi6G9ocobNE@#LBFLM`pJR;Cg)Utr9U!IGb_w$Oy3+W9GA!
z$?pX>{7jD_7BwJsc*l_7X>Q!sWJO2u5k`f-+7+wL8c<Qm8!M8{gYzD3ZuJ_X=x8sv
zY{#qtPdG%T#j|<wL)sVr3q0aD=;9OX`br&|j_a07ZE%kF-8V1l_$1M?tsu@kT^%mz
zTtBZdu;G)O+T1V2q>=t>z#W$ubr>Cb$7-)8fC}5g3LevB@UW~_ZooBl$VjH}hb9W*
z^Mg%hoc^+y$oVWQtwJ554!K|ak5d?Le^u2vQY(l1?mKN&UsZ<>9lU>j-4nrC?$cjx
z@+zQvn-k-Vy9T@=+uomZ5<}YRXY#~G-V_!6cWrb{1DZ1LJ&jh9z_zemtRDx+DB)oG
zQt_xJ9Gt&#_amPaURb&jlzLbhjrkW;o_^H?3uhw^^>}H#FY-gktDA!Bjfn-uzFP2X
z`%;!mnhY*qIy@$3tBSww(7cP}s4#!bA=Ruz7B3bi?p>%;!zkN;uGCp7#O!!Yaeps|
zVgLEJy%5mYxO{Y%z<@Rkjoq3hCgf2$`MkqVvL=2!`n}C#P6wL4MF_g^DdL$<U<oME
zM3GpUUyHmRjArVO#A}jq^I1A?IWa9ft+<~~)>j|8wmSqiY*9k4Exx2JZd&+y>v(WY
zmjRHz=1M)YQpT5OcZ{El(n5!<xK=q^BlyO@EOAelf@6=~S_=ed;m6Y9gJNCAAhygT
zeuhZ}FUQ_q9MI9iBlq(jJ#;aJV>Z4T^u;Rpl5>^+W`icOaOLw|{I!v9g-t7sDynF>
zEMjCr(nNFP8k;I*fV@|SZm|ccqPO?wTfUy^sKilqFuMc5zokGS_?jy6QP+JBII7}D
zIoI$?4|5onlClW$QpHE4gIt%EmGP-mS%1=yIb58&yvLhY6=U@a??`))vG#jS&>w3H
zp#L2j-W#TZ?{r0elvT@Pp`U#2=rs%A%c3veRYk#XlG#mUMp<kY>9NpxW&y^nha~u4
zDx+;(hA;J*B)S$~we3O+xO}zHdgi_o`rci58C@uXJ5=Pha+O&?McxkGyY6JX)R-<$
zx5AG{Ecp@_u2?{>nytMxX@h$b!7=j%4_5X%+}E_RfVVxROj5=2_~TM(({>?tEad&?
z6t&TVc|ogOe?bmyipP=TDI>Cdj69X|c%ujNPMrSOE`y7_9>LEmRteX3@BD$?=3r`P
zar>XghL2xVGrl%GLr7nmCQOF`Vuat<SqVwv9`12Y;n@)awg{RDg#$D;PR8{FiecwM
zk459DZ$zZxrfygM4Ia3)$o6kV7^jpUNtTYc5I06me=FJ3Agyj8QnpYK7hQj($jCk*
z{9kh$Cxn~9WS`q7k#K&*yRm7_<s~#RlhCxYC8n^JHTHXFBp<fj^11)9nxOHGe9dV4
zZ33R<&c~L^c<?2c+Xw%+7c`p(tEaa~n1Dv)Lf3*Q7e=NJ@z!uYr<rfdYmzx+4F8=R
zRT@;}!1K2w88vgNX!hOA9N~A3poEi4e(e$)vb)x$9QM3N3mVigcN#SW#ZtkMcWNx?
zz|rtvIyake_DNq#GTi7d$@@H~rI;{HS$<%lrjBs7(YVZX%>bN*qT^oKGa%`BP}G_F
zw?x(N=U$OR8@{tmyQj914yO*Y>}l?ACmPz6a(lPxgI9+<-2SmfSk&}C;#B-XH2rDX
zGEk@ol-eil`|qq09d?_hOs{_@^d}W5zC3zxoG$U?{i<c6FV<|Y8s~3fp0%^oDMS}O
z@l5n9Q<jL*k@T{{LxTi`y^%j?Ob6<-8q&6mE)a3AL!5%DM+keiBf%xEI&fU6Qc!Gq
zo)8Y16OWJ|CqDg1Z~4`&4R?tp*9_x%Vnpn{#68<d;^_FUj3ozc;O3@(ec|~W@trdz
z%t3UTFe{22{Pu|ovugWmw8H0z&hvwTyEp#H?s^%f2q!A21rC+Zot-0`tl}&gd*_Is
z`i4m#ziYu<`1y{q8*@aEbPu=v*99W2crm!~v=&U|EDNvq&k+@zf8PYnE)nY4Orrai
zG+_tRSfu#zjXl>=_HR;MCH7|R3Ji(Y1j&Z9tRc<?g7SJjc`{~=kYkTaH<r<a>Zfh>
zoj(_dDeDhPhS7Am$77gY-CqNegflq){#+#5CfFtfztJP}pZ8&!CF+peBA)$f^D-f>
z^S+#SFC$v}!Pz^LYS6g-W@f<26+*Nz{^;SKO!zN1T`<Q`4e~fTP85u<5>XTHl1?PE
z;F5FEslYf@5Y_qnKJ5M)5w|@j@Z%{qT-@r^;Qd<#yz`mG9IWUt)m^gS@(FgVz-K&v
zwx~eJX?|U0XL@86;D@qAPHbC!`P`#~0@anp^um`JP$PJfrEZi97fy1KW8^3>wPSwW
z_!A?h84@QS*YjYLT66DOjxz8%-6G9cFr%lCUYWTZANGeeFx9Cj!;W2__V;zNpjz$K
z$cjP|YRccg+VxxsoVJ!~^(M06F`ZGiYFh#Hz0jI+_k<Go-p!=(oM%VBp9ix^l0xXo
z+a*#WtOUYAG|$dxP8@h_rIbJtLHe9Y?C&K5i%n`s-5V}ci`D(~Lt6|*x0^GBRgj_m
zWx;j0%Y$fopfWc?0>z`;Kr)vMs-J&lgf8-8iZ7qB#JUu6seZoQS4f82Pa4LVd`QTp
z-E^JTQ3h{*`Pj6-g$z}R4>W3-1@K6*?aPrSSu~rH7=6N{1bqoj(I*=OalW_mnxdUN
zRxn7suDYNE_xtZ9-@Gl1bbf;L<T(XA^iOi7iCY=6B;y-{GDNZYkO6~B2^q^-zs`Q|
zR0g{<OE;fC7sq=iEq3#UDPzI(2syrk0-ye?_Bp;;3b%XLbF3dy!L6+3f9ttbp-REe
z_ECd0`Yc`R;ohc(6Nj!)GLqDQ=I$!<kX06?U)roJXlkIGdk2@Ws|J*{R*clT$f1?R
z#qH;=XyU7a<`=c734fwwZ%@CJ#|5d$GYURh$Skh%X6HXGsCaEUYoe)$U+V4eA2X+7
z*CpSltf#bLxa_&GNj4c{ydL~2o~I&Re*UB6e>y<2I_|E*u8idu#!3>Rv~fJEHrug5
z4~{%!p6T20xR|i0-|RoMk%16APj}A%VoR-addpNWYx0tP%$hb*9>sszoNokowbVU}
zdsJ~=S@CaOmo|3q1d-Az6G)WU>1o@ohH6G{KQ12CMzxcrL-g;>pyE=+TyM5IzHHya
zNV`MDL%&Nuesc$CHemL5Bx~Tmpkk6moE9dYpLlGr;dk|=mPcYwYT)wc%JJR}KdlmC
zv$(2d0k7YyO*A`dV2_n^VvDvK((Yf}JvC?nnbua*<%{YY9I{(Jy;K?dMCRXnp0|X+
zOtVi;JJeBdSx8uUMFG9ee9(^SvIP4}KQ|rOtA;Oc3LITDltpp+$;iu`TVO~$#Un;Q
z6`yqQ4xW;gK)JZ~#1q0>V5Ng~l_Q6ORjL`&Iy6Cyo2s)lTC)VzgaCn;>q^K{TCCSL
z#f@8Mu06i{(h^R7*WapTM#ej*GJnW@WkPjIhvBTZB}CpN<vn#*z+V4F?aIgV1nJ7Y
zQ+X_w;9O5W-yOH%s~z2vSEyf!#Xyr=h1V^hWv;^YeX$HiZXNgeXwyx*H8#$n&1V6s
z6E^(zHBzYKM>PBEPtqKlE9yfN&4D{pQZLa^9N&BJwdPJO&|;ELK6=Mt4o<BH#<K^6
zQ8KH@0yF>7W;L(q23`TEzIR-vqEP_7A6~0aeM<)>9)yG>JHV($U8dnTKCHPqE@MDq
zfV1O8+@TUQNGiK<dZ!i-{&tDo>D<l$uDDqGQo{_sv3$E=8Me`nR~zzglNlj5nnUZt
zPE)WdSo<{3$%-}3g4d-q7=a^op(^dH38eP0RV{8}M5SiCAs0GEuv2=*-j-zy^4xdg
zSNhfn!<H9!Zx%DaP~>cPVW$z~>8{Kl_E;puf_(Xntr<YeWbt)6zY(|{zCEj+KTW7V
z745y#OAl9E&$0_1G=vxR$=qYCe~5FsA6lLK=)urvFgm5s0Q8cavt9dt5?9_SxwP}r
z!`{k0V_B>EaHpU8=51sL@wvdIt^ny^hk>v<?$?JOJ0+98uRS5!ing<GT%rRR%7|S0
zGd;NQADuJXUxHSkU(L*ahz=}t^Od{A^x(=BBeG+D2aUeS#h+;p9gKF`lQm;>;U3@8
zR!^O8wE2Kvsu2h1K-wbXkmm*`pVpV^Y#jYfyI0qH<9Q?<{8LL;*zchO@s05|{Rf6=
z&DK*@&zk7qMV@X?(@$;aV6YqR2pgk`Z2M=cLZOG-*^hd%k7z^MQHPmyok`lH-r|eC
z2lT*J9nk*jI~A(jFV^1>n5J3U(Ocfy!2s<;47&0ssIW{{bcE3vnp*3(UMf2yOf=n^
zE&Hnl*VmR~=BwvuFFKc0iBU%Q<8ANf9-;+_Yj($z;umPsPlQhSk28VivxE6oTv{Of
zST`f)#1d`0cbQ5Hi3Rr7Uk*QTPZP@a4oI)=UZGW;iB1f0VTF_X0{(k!rU^yEhh}?s
z{G(<2TW4NwX9Ew{sj2cB4LHzl*f(}`omLup>AaB-JERx?xxP-P0Y*u=0cTq10Jdi+
zY8i0C`niv5X}0R{-0hov(K0=ZP`SmNG`V1rrmr$tqy`mZ-R;q4j3AZFG~=(v1F8S?
z3zIji!S~$jFaF$Sg5qyO3AKlLp>S`%sYZw@cz38zbn&r3;jh)^!3TV>S{}JAV_pT?
zhi^_EC}M@A-T-|DA%2*`?7{9(709|?8J~Z26J)uu6V!VGVEXo;mLy39QahgRVWx3_
zWNS%wv4aq_e{r?!tE7Nk^u_6KTQ-9MOW=)CiU_PQ{Iq|6h5~2HriY&daD!E5EA^z3
z7(9-6S~#mm0q)8Z${b@n@VCv=u-irgnwoc+JrSS)!~8JSMvo69!@Q)MbEQDXqxtQ7
zP6~WUNsb-MAi<vjE}5OYGO%rqDLhDu0(-Y;RHjM_fV<tZ#)VU|z;-3D#C0zPTDFQ5
z{2~NFxEZ<}I_2P=EHUsTp8`FDuKy`U2*Z|}V?Je03UDCwbb_qB3Ro(rGM+jv3I=0;
ze3K>>A^he__}5kyNDug1t$s=z>f-N=pS!ID)4AnKA&*qS@=)A`V^<|%7ZZJNk{tz}
z#E0LQf1w5dO+d20C*1mUSUjYmWJ~n9RFW!0=N4>s6xINb>P#|sh726hajiPkr3Nc0
zBr$N-gwx0A52f_Tf-Vnf^j?w%aOkZ(IlNN~Difd1@+ruJ;fo2u#Y|23$^2^DEjKE3
zwaqUw1uB3Ji}?9US1tI`QsBd$uMPjDr!RIkD*}fX-5@_F6}%n~=)`gB!q+F`-(N~7
z!NY8$M}{d>$X#CH5Xshqige@2-V@4jP3isPo;fNoOb@0<*&0BB+s+jJObUqZaSLdd
z(S{wSJ(V01M!;w=e=4X_1p;D%n*Z=>!;JeYO`R2E_#XfO|Njh^hd<R{7{|$oOUNeM
zwbylBdwd_42nj_hDoN2MBZNw_l3#^LR?2RW72<m&l0^0{A<D?!>*pUhuk*Y<&pGeU
z+r6*VGV+Zg)Zo)Ens71%za?>w{m_R|hb|{{LkUh<cNERbkij5{zG$orgNkUvbs|9-
z-l=Sq`<Saj6^lUl(JFw{|IC9KPAS6&ZxgXZ1rq$cSo*yFz9Fa<Gka!UQHItn|0~&9
zN`PevvIrVb!Hbco)1s~no{~AQpQp%!xp0BVm1ZggE&KLqlqdl`ed>vU<1!HKRq?h~
z*9e%j|FGYmRRk?zG+(hQ2}X}^|8%@#1c#58yt128fYp)K2<;Rx;QxK|cwU+j&^fT-
zw+rOqfwAXNi+VvAq_loiNHT)6W?QbsrgD%Hm-&&SjvF4Z#Y>LfFoN-k%k*jGGH_8^
zNwxMZ8+hLLRsW%71TG=wQxqO)2-EW2?jkZkTg=kHtr03j_nz)1I1}MK!$@iA@+vmC
zdj%K0O@)i^dlI{ICE&`kU(kOa|6o=;Wi3e@R45pGCLpvT1}pO%+UEa?F{Ih>TsqMZ
zj{XelXnigMz9UJeMwAEe9}B-ah+>8ytyjxa=DiQzaNLrbY@EP9z7lfL$^aNo@xEl?
z#SgiJ3uPXabNJ@%FYT5J0DF_Q8LeONfX?lh%*1_5xUd12k%ub=xvN?J`x&`_?ULp)
zr|Amrd?i5eMUVk-unUz{rEq}G+mqJZw^s4>cb76`lJ$YmFWeH;!wR3tU-XyPR&koG
z!IUdCdcaY|7bNwA2`Xfg&g~vw#nW599S)t<h1w?9uVhmO(0kn&)$h5A2gF~_HIdPU
zpgP~D0_?jWTlMRH+Oid#*i2|X?V<zE2&*nXPHkayd(MBy+m>-=$FO4eY;A}<)$t^n
zx{8fB*{7~`FX8&-X7rr%TJT0^i({>P0ULynrtR)U+)GgK?SPRMT->nC>@1tXTAB|G
zS`IGY;mhToo{5?uB=xn(!Fe2$J$hrvcx4_hzN9F3b4ddt7EYWc%Zy<El({rM%FN@<
zxJ6Qiy#|;YMgPvT8NmE6*a~NP&f#J2L_%Iwssq(7^OA6C8<xo4bkO4GEMCxjX2wQV
z9rm74I2_JXhXwpYhXyXs;_7B2-lyX!5bJ`^+&`0t-Fwmc>7DQ_o|ZjnoI#)fe+=z|
zr>uGS<iPHf$hjHZiOR5l^^O{NHAX&kp{c<;e!ZdAOw8c2g3bFiHpxJ}s&v&us0r_#
zjED(kp2bDYQx56|kijjnp!ujwJHB$|`jsh*S=^E)gLYy|6<FhYbTUS|@lBBpHKD>;
zyh`Ghp29s<5Zi7LoN^q%$8#J?k7ILqR>k=@BW$YB-e&R8w{;NLPsNkPXXo&-D=2GM
z5(&HrS2ugdhHyIudn>gs^LVCD!P0d_5=7{F2D>be;I@%J4N~eC@RZSvGK<?P&^xO^
zr81A<=}&%{G|nvIX_3zALT{A8A~ZBoR_ZTa)%CPE(r6hk{6a5I9Z~|1lw|hnhbM5J
z<eX5>niV{uAo0&@AtjJG`mRtvVG8HTe5lHCeGTUuRntFuQW4G$SI$OmPUF1C1W)B1
z*}#7*9r>yCQUP{_tc2zo&*JeV&nluXZQ(L+&!suc%EQ&YM-z`epTnPd5;<2+(V)T!
z%NO5_<zZ>gz2^e|0?yY$_oy+87M0#QJ(`^&2Ly2^t?bu}_)3h^_%bIQy1Tbbl6zYg
zv^g`~7|t!@85buwZoi;MDh%~}`_Icl<S*Z_eCp1AFUQ^d=*WnielNk@b{SARk`OIw
zv5pfiFTe1mG9eWjeia3C8Tc5Ne_QbGCSL3iA^hPO0g1k&3w-xk8t9+v>DEne<MUqK
z!^|&P5lh7Gm{*q4AZjvj#@>P!aoEfpHI`#X9v!Q;-}|LN%`ErapQ>GmN9jyl&k_eZ
z7hW>7<t+szQ2{h9cJ%1luhY`EZ*n5x{@<|{f>Kb=|L5C%E=F`KT1zuQiW}+i9X!ME
zl?Y)W%+ej}yHV>A_7CPOJcueP`n@`W2qoHn+IgG=bRa6os(*<Od5jLfyl{*Nl#2ZS
zEF4+UnQ7CfNkl<pG{bYqRGSDf@7(_=4zQs=wo2+vAwr1oXp@sqg$T12c>-&V94L05
zc72GTD7u-LP|vTwbAE-7Ux5WD8n!Re)LjrmDMf}4BwUGb$C}YkWQq$_sYyLK<tu^m
z%srC|3yAQ>n$F=-ArErRb;hWIMC5UW=@o;76!@(5H7GylLre=651M<VP@qe%i(r)$
zh#H=qYb+H&58r*hNK+z%lDZoltD~gh2c;vcc4Z%m6IY*&dL@SrN8R#!6ek0nZB{iE
zE+VLNIod9wOaa+-CiFB7%0k9jyN&EXF;vT>|9i1h331)Z^`zX8hnpps%7p=O)bytw
zOg2<d@hPt#PtGVpsPM;}VJk^=xHN!ckxdo7k>mbuo2?9o^j`)Uw-OQ6tmV2FFBv5k
z7+&6=LxKRm3es68Y4mC8dZR6i8d@leV+$se!IQR~=l+5Ws&3`z3K>#E_^a^<?-?}+
zT3AiC4wFNXcig?b|D&L(#w|DLU+O?47sTCSS3ne>4@&v;>d5wTLbJuTCMf1zP9p^?
zqKJHzuMHG+)XsM7Q=Xv?Bvo_?bGIoWD~1}@QZ98w9m|QRP1FOG>Pzz*3(6=Yv-`PS
z0tLBEx{s``7(n|k5%t%-D(Lk+^GCc@YRFgTt?BC*0C&%M)lTY?kZXiBlYJ-|HEf(I
zj4w5WJIjqW#4{wsm}1*1zDh#E;?h8PO$CNs^2(maNoeq}^<{Q*WpwZejkl`55umi*
z8B0kLim!}!|E(*J25BgI@A-^@vOFbT6QqJB7rcW=OHv3MylC{~jxi{k$<GR%QAV+z
z(;;2i;)w5+oQzYcF+?Z5C73TOqB*z4COeva$l9pak@bTyoXbg~AGB0J6`F5Rx*->$
zw&ZV6<BTCRt0>dhQx2uC|0=VJV?tMY<7C{-jX|3tc=eW#3>r)sZuFa2!97(AClZE@
zV2bH!f&6(X<o*DYDC%#)eT6vlzqlEJbkUFL)ScXqCDXj&y8j1@%lxAw@rw!#ork|%
zG!REo=k56pKUl^3GD)<lhpBK0yS7Q=D}pNCoO-V}NDGDPR{y4}cer0~^zKZmAo59-
z&KS&O0P={<^ANHj%$r^>3*O{K{47rnojJk;ne?x&6lDT@IJ!-5`jiW~x?Wq`+(&@U
z@TtFZq5uxg%-=nHI1uMM{z?Wi3&4NIBvu0qI5rC4sv-+wyja`!8nJ-7*&6+|0|wB)
zYR48m&45w^5(jD~Ss*Wx#c=JEJ`h`2PQ<IyB6~}-I}`0Jkfn3XmwZPLzTfE8KHjy8
zC&sr{D?DZa3tfZBvu|`EpK0&SKk{?<aTzt|G%Xg$P>#4z^IHdIeGA3jJQ>AxI?BT+
z-2`YZh*`WVtpg&Kj)z)e+wt$w3BpGM2~b_%Bs6kO8%RA2{+$g^up#3J_ou1^SbaWk
zp<b;8?ZlM}1;h?)D3fx|Y=aqC_2R{T3TT19q6L%awPEa=Pw|W4A!d-imM-n&rwQpc
zZRKw66WA4NyW%^4nIYcn^IprJ8sL`vDtz8y7K49<eIzadNZuP&v9izr|KaG>`|lR8
zu^Pt$9cKdUW_$NoVu$+yy#IVt8kVt^N82x)cJ8l-5e#D~>d@{P*icxohIz0nsj=Q*
zftc8nX}1d~;P|J<*W7CpYyZZZ?TxX5l~o+6RgD5aRy<}G*l3{2Dyr%uc@I2E70$X{
zp$7VGDb`7jwD4`L)nDW=8@MM*UwL>y4NN?GP7|_sL3)a{($^Grkb3d-HfJ9ho>UyS
z=v<@&>&`1Bd=EH4Emo+Q=t+jF-7m8&%o$+GOWShVc`vM$4cN?akfF<-OUfsQ5&AY2
zGMj8T!N-M-xwuFb&VA-QqsYeu;V~;C`6sxbt>mal$thKkPtA=Kh-ZdpP3k7uLEP|d
z<9&-YyDCIi^TgCDvVeo58}wH3z)i)`nz=d>jB)m)J?mqI)PstqenNZ@)D-?%G?WAe
z<9|K>WwJqB$Cb8<1b+Cw$d%@4NrLE3E#=Jv9B^o^TkShV5JbGQ|GpF^0mIB+xjC!7
z(DUU$c;oCo$ospt&OWUIbgJ3iy%#vaVeOql;&)*%<u<F5e6IpD(PNWx30$CW)m+rq
zA_~{`s>~NBs6fkC>v-*cZV<kRY)03_fKdHtff}O%o|W^eR83xpS;`+{6_J4K`%J}g
zxhmjw#68<Gmk*vNPY-q5NCLg7wNd>q6_9KX6_e2rfD(&>{U&il`1xCcA|^rt8{aP%
zP5K0(Xd};|cvK2%zx_GZc8Ua_v|e?UJQafY!?#Y?8OeatE8&0RMI^|H*`u@SE&?=5
zs%GRISs1w(DBvWa3j5<K<7ZUFV2zkqo6ac@<rFO<F-H~5cKL{FlEuM>zWs5OzXFt3
z*{CyEkfHVAC4m-w2{6&2q2Jr92w2ncW0A~iAYo6i$g`FN-Y7ZZl&msb=hCpO`>h5^
zc_S|gZbUdyO??`4QUwnBEu@GKQXudIpGLrKDJU1J`R1uXg88Gl1d$bWm~rT)ZH$u!
zpC;;u*BK-@TQzi)Pf-(c1Tu^nU&ugOOH;As5()VB&*?DvX~C*V-ezd}&OBD^ua4}@
zle(;Z)3H|@0(YlU_C?FVW9CYGE21jgT9(`2XQm4RLkX4|r{w|j(fsvmnFP~));h(w
z9{kOd%F<<5fV~-O`-~GwkPwso2qzoBO#Iu1o_GaNY>W-S2_&G-Z)6N6U|@TkX4`#U
z0ZO@^u@jysLzK#>T!-h5Zz}wLe^XcyY{JizldBZLq0-trl3)nBXB)VuI2GY2hrllX
zBzY*!-O!VWGK88Nr7V7}3ZS>|3w01=A-{0kQDo5&g6%RED;yOdX>rl64wr)eusKGG
z5f$cIJeYKg<iTq5=D+>QlE8P`-Set9b;pY=`1J?mVDS0h@Z~fyuz6Bss~ANEpVsA9
zw+CdQZP@9}jI9vVQ)<H2!l^JRwMFi!kO2-MbRxEh4<rXVuGwCtLRiA+8~m0uWb1zH
zxANrzC1srnJB$jhEXSjUNm4+CLQRv?>~Qi$<DpC2hR|W(rd!u33Aq3H`x~E_K+x*q
z2j+K%@ab|l_XS@G=oLub_9M~(bM*cQpA&|#@nqkDy+Yz}`b$N7_rwNfR&m}hZ5^OJ
zF1g4!S`>aFC(nc<ix{QM-jt94KyC=t7u*m6SDdUvdh-uEd!N3lMipRkVZ}H#ToCrP
zsENP*?>EM%x_zK876Y@_ck}7A`9Xr5sF~5Z<4-ZJW)XD;@H(XAYX=7}Y@Teo&{^A#
zU5nAmKfR_8gULNZ8l2qFz|G)1?c0P+DsT3ssp><p7z+cp0VmM7-SU@L|ALu+|K=oq
zMGtyzn#P`r<p6)j6S*3h^;l{4iF)VPx)7_?f8?$#8x%g?gE94d#blk%3g*t~z>Vaq
zD=&Rn;L>+~hto7In62)UU7Y$lP<neH$D4;4+W#9+64mLzOmhzpCPZmN>`X*T`5GfI
zk&yUJyI#z6ebijxmlpKrZ7_^UGC-)<sXiOFL2POc%gfWz0_GpdT$WLEa57c?kfz!&
zw)iX{VmUz*D1_<X#wxo&aAx|edE_V-%$FuKv91AcYja}FnP?#?x#>3x^Ejrk<`R4M
ztOi_Jjx6HlqJgAcyN8Cdr?A)6LxIq&4w;Hv5@zvRSaG=Jq(R{f_JW2j+67aGbwB-k
z>5iKiud}~jdfFVONOyx!Qb>VAUnCAEU)#XeH`d**Cof=HN;g(T6e)0?Q^Lu)VI8wh
z&PG0YOW1o`am@$WYA`QvY5K!;9qYYn!ASkKf@NPkcXv)!4Spu@`5>cptg><1mXmQE
zlfgXVjbD@DU5s4)jT7sbNZD+0+3`*6m&2SzpgI}6>EGW{%2~%G8Qk!w#%-+S4r5nh
zwJPXtl-l7+8`#njC!;)7TKKL`E0boU3NL>4E0v9IV2{g#gR>v)g6-3;r{aE-p!~zG
zo<nV$m?)v;J_j>Btj?VA4i6-O!k$X<(fKXRRl+=HJdpvchB1a{0TSFcQ6Ei{qyZ0>
z$*Z2`yP=kv5E|mC0=NYx#`cE>wn(!L!uy!PrP;_i_QQ^cQf&o3ex`-?H1R{R94wHZ
ze4Z<pO&JzV7=7Anc0qmui&nYv9#}SgGOBw~2`cQ5mAn|B1FhP!>O4PosAMnR?rT;A
z_dV%7ZM+Pip+^b%vBm+%H{DtEK@q+k2%S0T!3aWZFD_La;e;3Ioh6zd6hMi-__X%)
zZiq}DB-MZ60wJCP+7@F4nD2WQOc%op1O1iG*H81nfO2!7VV^ws6p;2GKFtE0wwvy%
ze0-pC)+%iCwmigaCn?k0?|}!;Uk~`t^Mkjj?2Rf-d3cunfh-%y4k7obi3Ll7Flx?<
zN72fI)ccp^e&Za_-=(R`E-4Jd;!mp^2IWANaOP$Yi4z7cSYNs4FAA)2FW8}54ptrS
zEjYw*0jpZdr1`cO?5}J0Ax_9aorQE<3KtK&>|D}hKPCbCMpCPC!tyYFftFLEkQc0`
zd3Qy9mV}tGfWslz<w0eiT7;S>KPauYJ(IAMg0q@KLX*?-P;<!7tl3r&&Pl%#a~qR}
zQX&5F#6$%s9@AG2I3@&TDvmJ|F|xp|Vc)Fhs|Z%|E?FW$BJi+Eb7}sNJa}9_zt9@3
z1lQeEJ<d3b0bSGgTrDm|NKI+$zcZo?Zb4hZDskd~?zUtm^e6%LSm0|qMuLB*&ZmFs
zkbnmPZo=I={a`&mWsebA6<o^?<|K*}L0TrA;e9#@T;n&t866};_N>r#)g7O<H*HPB
z-BiKv=GX7N(Q5F@$@%8YS7|Vd$Rzsml3{K6{M6_w1zw*mH{lSI1>qA9@)pv`z%9nh
z9dKU*iY6Z#$6b_znuZGvjr3|zD<0&19n%6E7U71oFXZ7#>u<kOvKm+~TSc<4>p=3t
znMYpL3XmU1yI@aLgXEJxeteqI1=qp53@R0h5R4W)l-tN~iO4T~y;~nHIF9m<hblpH
z$4JdXT{8F^h~FtJ#lXNdv-rV2WsnZf)(t+X3PjE(q8kpNFDblc;-L(+yIZg5>62j3
zD;d+pXhYC9{Hm)HtPFU&;N@F&O7Jq(VnS_)cO0}I;sq>}fre(&Ew@x2#s<VE6*{Rq
z?>ezK?5h$~ul&^EyetE;eEQ!Tjf_Bq{w1$EqZ0gkE-DsAPXtE3i<-ufMiBj&{Y?Rl
zBKX^Uy6gX33^;EMh%x6H?c^z6wE9sVc-RX6SRp}}8%TbeoM8k90-e~uAC-e|?@a3Z
z^SNQ8^HMPX9V6(j>^-|(Cj%^9yF#3=vVn7Mq1;15Bj6RP$$lmx4X1W7w_W&754LNr
zMIn<r{H2YmJHFF@s;Y6iI?^iU&Bfe&GHi#}{G%2uZzQ0?@s8vD-D8-H(1Cmc9~C?W
zG)0Y9#DK>45GXq)VUKL{BR{7aLZFnB;o&3^;OqL}s~0wiPhq_i^iqaUY9K#db8#OC
z{&!w)wtfniE(^E0kOSZ)b*<IHg&&p<3CW$Tn#U8TuQKnfCmae6Jzf&c14j?@S?LNd
z<1|zLA&;+MP{{X<FL;U*jP2A4*bl7Y7u*tghVB|b(?iz%`oSFV=Rx$Rx}Y_D^%O}k
z_qjeK1(i+KJ!OTXT-zNct82Km4{m1nSr49FE7iP|zy#MtQnn6^t>LBiUN2`BbV1wU
zP}1HFdKj~sep~9khJTW<8aXJh3%Q5Gvbb?tXk-1`f1+d+PpNEh;B(ah3&sikq2f*K
zvh_k+PU{N3B$bppk*f_leVu3bKU%?VSIX_l?p?;8Mf~$Qy{H8)A|ZXfv<uj$Gc+n6
zek|dg*BQJCCR%XW*30zx+%)FNI``_v#3J5e|NL@fk|wa4pnvMEe=viDE=_a7BHpv7
z>)pK-4VZ26R#goj!YreQZAGaIIDcO7zr5obFsOL=z2#yLmem<*KN>%eTR0JEN^o^(
zUDni7m;8=#882`!vd`o2=JC06^6KDz@4xr=N-D7xRLWbGGl##r>VER>QwpF*+3}XV
z-nhN~tBM;J=J0*js+WGUQeg93S#E(?CH{Hz-~f}=9G*M1C}R_%2HxY|D$}B0@qb)z
z9*&=w!v#C%Hww0QdiVtkyDIZGoc<nd?70VXxP)u%@UI{;h`w{3&5rHHqd6ONOGf8#
zt(j+npJ>To+4D)zB5VME9NOtD=Q@vH&Ym>D!c{?i>s!x~&@a64Q)!VJ`vT6SH@mLK
zsS34jJ`Iyj!?<AEvA~d@3%K#wgPl34Bw+68X}5m*8?Ug9*y8S4#3N)gIlW0Fc=g92
zL%n$nSNq8-t-iU0%NcN75|2=Ux@J=zL6&jcHciU$iRB8Om-$O$xKtVPIk?IQc9VF~
z3l}=O##Q`bUz3gKloB{x8(FL_`iC3wUY4c}SjT@C-;!>WRRUibp~J%oGx)coB_)}s
zH*uc)t6^go6~VQuJonSzSv*DYZB~c>Htu1f`u0Yl0(cC|DkJN8+)K%3Psbk`blciF
zIBJ&y{3y3M^}J;PpFID>@gijxLN-KU!(;MrdiW8Sjr$V*PVL9@mUKEK<<k7VvPcf@
z4_I>ykyh|`Y>uh)nha=+-EdW#Uk=n9In|T-*6{O*FN|#$7}3PIXVG@BEL18E*zb|s
zz*p+%t1tgxLe*oz=2sVGpwld_gm7^SuTHJyJ-$jnyp!8mTi0a3#aDl6=o$@L&=+gC
zXSN3kMtgA_n3o3gFgek`pJ|br*QUtFHg+^N@}-sGwluVIzV_z>I>h91>2d0zy~yry
z8><MPG^o9aeUsHkkM_*`s;lkbM7fmr898NAVCgsF!jZy==DJP>><{Kfg=_v<n{HB&
zJFhmzc%KP9XM5|dX3vX853vfDNJ~K#9)|~I642V)z=R5We&iY0|LEfa5z^|55;GTA
z(fQyad-gCv#OmK=;MGBdHn9S?Uw-U}Dei30!9PN%Ln@~A!B-;uH5k!2DZCe5`#Z^Y
zB1jb7Ww&``+e?IjZ~rX*CUc^tFa^ziDRD%@Yo(vgAO+fifp><08`(zKHj3p)psdgN
zbxSr<@DtPJxXr|ih+7VQ7tM(1^O%@e_$MjoI2Nv7zr=@r=-ra=Wt2vzR<0LYo|Oi7
z@{6|1djt{P-3H>`pEAhPUZsalT?Pt&)OICV3Zb6&R?kYm%b{>CGiC`xSy(j8FZ@y}
zf}Zgf8=7<}Af-Pk8kPUa!A#}``E7<6;`yXX3Yk<wKR$DNSjs8Dnt>4yg-!xBozHvU
zO-DirwQF4md6mHZ&z`n~>yk*s>qg^!HdQp`^F%P?lnS)@=?IR`5K&4*(QFqR8Tn=@
z2zbz|!hsZL$6-Hdv{XK?9I#GCWz1?_kE6(N#*9|9Vz(?R;7Tow`l5zxDPE=1rWEk*
z=F{AKEQeM!?Z?q&3JM9d-bbQnfNtYNX%MFZ@~d89WbdY+%!6j*r50MCdptqX@1`OO
zI@fEKwnae|nqdLl_jEu{_rhXNwGv_-+p}M=gMvOdGroG?ss{<yYY&>cmC*>DW1z$l
z3TmfI^HG<?;1%z`wU|N`bX;aVc+^V`l|SLEXD$GEASGNtktCtrOFn)MdSv7ia3C-5
zgCVp}E4=J9A|am!r+~o%5?VIfy8AhY3bL0y+OBAk(8NclYrE=|Q2N$E#CFXHBx!`d
z+HI>Kk<TIwp^b7VQ8Fthhrt*cYJRuWQB=@In$H{46e*Pbl`U`Xf-zLS=5prXQ%3tG
z%wF4G5=Z^gg|Y9S8H38p^2+MBipV*A$cXSk5FJSsRNG262IKW9AhRf-@Y3Bc&yl&%
z4dtm>OCMv96BM6y)s#a`Ut2c*buppgV3B>z3dRr_mCmwEl|foIUy-N48qV;^u-&@O
z2)KVO@zLr@p#=@^<$E>Vc&q!cu#cq?lnXC?yR0IK`VYojf2T8oMI2$X6so6!;#Do#
zGqU1{gEms5YVR^enww4ErALKtYcyHAoJ0`KlJ<YWAvEyBoZ_AL+7NdBwC|OPf{0Vt
zzNAls9u5f<kGP5%g8j|kCuCXpQ0?Gd#wVSOFf!hg7Wf1pg6H}6bSW27iL8uVi)Vtv
z*Rw*8?FI0gJStQ5k^_;3`NJ}Dnc>dv{*s$JIXZ9T6^3N6piAkkpIo#E;M8Pav#4SK
z54&92uLU!rzQfm9##{)%t*sf#cR(LPduV*C`e@PIt<!_EmIUY*=w<V|qz5k-?nXSb
zTgQzHO$0|+2*9C=o1A~D3p6F!Tx`wrIFD;hyW=}%$h{$&PHNEs=KDiDWs>7~aoB6O
zNo!`Xw)`r~$*BXX42DTDiv4)c%%5lYJQJk<I2d@uK^p?BPknO_D98T?0096043}ph
z)o&EX?Y;NjT=%-T!(P8*Wh5&_DKjILjI`*ltRhsRWQ)qGM3jd67?BlPQV1a-AzS!+
z`+ad<oaZ^`^Eveg%u|hu+2HV38@zpm9u)t6PaJY<!`xIZl%^bI1Nz8$h7cw_NcJIU
zh;I*KpW7r}i`%flv60WbM!veRZFMinqI&}CNNeJn+QkNf?TWu_-s(UjEyhS^;x|SL
zKR>bU#|DO-x~>*f9oSrYvzA0&!077R?`M~=0pmmQ{GUbIpm4ILSDU<qX>JKioZ(}K
zku8g!ZE<ZFc+4s6u)TtnO9S^(9y@e5`<Mk}Xn{dDZG@#{9UC@YuC&_60djoj4>OBs
z0VssU=jd!=<{_Vqu4!??(VuB`UD;I7cPl!2s%9J0d3T;|!I%qJe3P?iDpa7N>uaK-
z^ngE^D)Bgs8#;gcz8$ZnfMflX@DCRT7<)XqruLBsNSEXq_uElm!keICpUDV5l%wj~
zWInKW6SC3%Nd{Lg+Ee>+CKzk0WLx9shwDW#W=}4YVZOF`UkSzn#+}y?Gp7LfH6ER1
z(;$O_kahEN87t7TDc0sPg7B~NQ&`eh5;%3XHP#Z?p>~R8ZPHE%e*blQnUO+*W?WqK
zo<<J%G@45?&lCm{3#~lQiUfPnJsqA1F4!P2WLD6NLNc#kktRC{Ok&j<jCb*X7^msI
zxFj*KbbNH{%RNm9lp*#dO7TI9mwbzYmIO3zG+N<zYl7o`UcE!A{P5!0MD&|&Nyz2z
zh~#6^1io{YOmfx&pz_k{VbrWN9BDVEyZK%Nl6rY894`pM^EsD=1Ufm`KP_~PzD@&%
zC-=5EwFyD`@V?DSNqO+Q>Z`N0lZQ9UP6n!rz!w=)YfBpiC=((|Ui_i~VywPH<z=Ff
z-IL)idPNbgGBRHLD5?o-nO7F)OvNFsq50qbJ|(DF+se+4)P&bxZ)-pQD*;ofWqmH%
zD$vO7Q}vyZ1QuHD9DGO$3LABwrRC#bv6#F~@*+Xm%xu!B`!bN#J`kQMfQJ+3=~IV4
z?&PQQT0T0<LH@6Y9j%E3Fux*N&U}On^l6zqZx72ubHEUyY^%W<I{{1Mr9iBw$f2k(
z1$Y~_`t{r~b=dXX-$<>W0vr2}1inaB1Wy}|g1R>vkZ849v)n+1lElo~jK@lFx=_>n
zEj<aGg`LS>?OO2rP^6rDuQI$kZB194OoAa#m84Je+7O6+5WW0I1zO~ctAsa6phzCp
zyriQGUc-TvtxT#Q=Vw=yWJiWT7UMwn3_bV}B#(GF@xY=IHJp8l4E`&Ds-A2HpmKR-
z_Sps=EVouAl24K$>%JtVG|><sKb-icn*alexwBvN$gmZV;OE9?3?k-^3FM1vKvdp5
z`L2ru@4pPEo=h_V`|e{C`&o!^GqBE;U4yh!SKj>+1HjTdF;mY&M2P7-u9yEz1B!|z
zbx%D4U=QtKtGz%3z3$Pnz0Zjd>~UJV#mW@4CA<zC4<JJKK9&H_69k}ngu9KknF7vH
zKs`o`2)<kW1>93O$eOFocP5(wwdhX@dzu=Yr8A4Luuuj$I*zeFk!C=wPwtWKBLG`{
zq2Q}D1^6*#A}v^I2A$vQ!yeDzVQp92`y-!aVbt&r`mfFmvPT>$)%sN-rY7>~iv|fe
zd^`KS#$z*JYZykH#W*0n|NAkMMFghC>hEx+n88ZT{Pux;DlnRMxxerwKQN3JbKTl+
z28jkLZw;1|!206R&Ei2$ASzsMNZ>UCfuv-yxT}iLlulQ5$c`DxJ@WWcUYdee2Pff}
ztOAHO|A}0T-NyE@K6}9LVG2rmZ7a6V<iN4}@1lv{GFH_l>?61iz;@d2ILi|mnB8Dj
zJWrg(u3fs_ESv@qE<7CC&m#qdCh4<w-J_WFrMwUsRRD2&y|1rR#bLHX?t)V0M=Xd`
zZg@TtgQE-YoMN>_VUBd<*Vk!;Ro5`ns3j)Q+3Qlbhea5My9<Aa8AV|*?0K5&i!r#i
z<}~&&2!e^KV2piTCG8@2hmbUvF+>xb{-mh!!>ST#d{px}E%!#fh>)cb2#&TT$kXw{
zwz9Z@=0GhiqeU#qDb^6^CFI8Kwm2d5y2yV+yC2fVzK0BLwiv(-D(|X{Jv)@RMXeiK
zhS5Bg2R=*k89?XA0PntO7Ldq5?{BzQVo%trWNvxr!$+^q-=tn981AJrP7P?p&Ni-*
zZL0JjcbD5@^*RF_uTXuuR@H@hRy^Lz!KnuaI7?FA`OpK8WtnW;@JFn3J{GG8)P>|g
zM|?aJ9q0}QQ22@8FuMR<b%qWdXc=Ws606<B&g%=lRsT4Q%@DH+M#wtQuYA6*u4x0C
z?FvMxN@JMI$!34WTy3~%sk#}DU&o%%1>I1L`-#z{tJ#aWwBdGa&fm`Ot617Ju|9NR
z3TwDF^T+(67Oaj8TrT{+f=Rsa(-H}t#hlLD+y7jl!h`#tz7Hy_U=MqJU8?Bku|1iN
zET_Y%z{`9+M6q}obD4_e<?dU+{xrD6d|RLZ&xse6eICo0L{PHE^_PoS>(rTSmeUj{
zrKaANaahJ2#@cx*tCq1})|BhN{*ggze`fQC&}Gbe<K{mHw2GZKh~PWF!=1g#I&`tk
z%UIV{R^exp>sXBV8J{P@WU%M9$n&yX!J>ziUMG?^vD7C|?j}DV!GXwGHM74f7>_#F
zOiRu-)|(zD&uvVCmxlbcx4Tv`bfeVnh&VmOZY4K{R%pWg4*Ma$k82pCPlKys6a(Z5
zM}+81Xuwzsbp+TpFbj+L<%esGpdgr_eHEtxqZ1K%)<OR;t_c?YT^Y>quknIPVaU!N
zRqZWS{<n$EVZzyd&a6O{I5tq%Km-(p(_%&2n4x+Op;3z+d@FBQ5+sR0IMc-CG(ZQB
zY_cpJffMY*uF-p3P=i1@MXAh1dg#)gUb8&M4ePJ1Jibj5pp(-8o)Z|sx#zg9)EF=9
zCe?CVdk{d~efGkKi%hUx_+75mj2~>9W*-F);bAdD4YOZkhMqGFq}@*hpf{l2(lQ7S
z(d3QFcehv}i(UC36@);Ce(2>Q10LS{Zdw=~Vh5*%8^<&jgrS@*Fm|L=6>x^lpP$)r
z0-uY#!AhGbJYanqRO6)zmV$eF3yyJv%qG!oSGzbU&Oa>*!mGj!*_qhbSG-_zyRGB(
zk|Z3(pZ(>^q6)0EN{2*wet2%DB-Ldv10JmYiN@<V*e!9fE$NZ~$khDle{)O@4vFgw
zIkTz4q2QO<s&qmiu$@rU^j02DXuLSLS4$NhCil)$^M#?r&+T)Ai6YRoVr@w=sxaBW
z;_m7t3OLzgP3c`qa5Oc;e_%xwLURvytXqf!)9uv<j;B<>M8!Y4<qjU$=@stF+DpRw
zXP<6zkyXJDt8O|NOn|2ihZ3n#(y$_+QJO_Z0K#fH0UxCXA39ESe|aYh9+T}Nx<hI(
zYjCqdq@4)#XEv3c73ASV{;mLWlRD@)q_K*7YQTM2`M|&v3gD%JTfcQ*6OO$K7MPSH
zfqQ<COGJwzRHw9zovJ56N5`=0h9Mc^ZoU3&NKl5{fBoZY*<^Uoe<;2;h61*)Pkwev
zSApA(Yj*y=6sX9Et|u*1!2|XNY;EDd>Ydh2VNNPoOdCfEWN3qZ&9|30Up!pilfIOC
zg$k>O4j70Z(gm@=4&uS*1XxL%6_xF!0`r4lWkE}Q5Gn{0U075D`DL~FCts<+&MlyH
zf0rT9J*q+>JnC>!`s(M=94f5IG~p~=jN#3hyCQV!>M&B$;)oNV!j%QF{$vjf&gcIA
zBL7eWoLAc`e(F)+vGtMwcNxIRzEJrKGMbR!Jx#F_B0~U`$M@I`QxJ9edainxCe)|W
zALBl-<8wA*Y+Z-Uz$s?qj;y>UWZl84$E1khuCMm}50g2d4xL<&3Jr*MvA5yOPzA4=
zgm-u2%z^D+<HMvWb!fSpv2tcY3AVkHo}2ZXgO2$LdC3tXv}H-HMC!=HQ~%ZCK?Vzu
zK5-^7I8zPw@H>Ayzw`d|v5o9&j26Hy^)XFAk^mJh0UbX}g<z=Tl{EK=IfTeFB>X(3
z3Lh4lY<Qfw!OC~h;ZwdjXk7Kl#;R1HbI-jE<yHoG@sw0~XO}s!dltSF{;mWZ{|$xj
z&G?JqBL4_p`(_3;(J>mqEQ;Wm;J_*H;yp%K84>Y1Vg`q=yz==)mWTDXYoX^I2Wg$e
z_?u(nreGR+oQ>~;46wc#m8R6q(H@?V4PrcE3STE~Oi}_Q;f1s2<g<?}w1*q9Lr+Hl
zUVLHLn}HXDC&X|1YTN&4-YtXL65arcG15~Ra>8IRHRyW9iVnTJ<x>K!7_|Q0e|z0Q
z03MY^)*cC>M-Sd#<=Fkv1lB#P&%Oxbg^Dt>BQjhJXd-|8j=_{Mc<*~ztXana`vw^5
z|LkT!v<pGsJ=l%GA;%Wy9Kr&7hKhf?STG<vSzrCTWFr`7Hm{Jp$pDI}e`}mL8IafV
zOiZPZA>1j$4`}ObVX?}Jal=*gsLcANi(rlcTn<zJFh;+MX-9OYhuhGjqTb4fmV^3G
zgQr`GI=6sTetW8L?kgP<J^tb+Qr3sN+WmDI;?o%Wg`_+E!E{LO{P{Ab2t5c|y`Asm
zI*N&T&dvvM)1jie5vS~SU6>r2^z|11g#BE~Q+srJn|44m{g<SQE*Lpm8uAak!k#uC
zd+}>^i}tw4BAako2UHH<j`C@FN{g!-aaVn?Me_-dCY}AQ4cT4Fo}2r6Xx@(+??lCK
z(aQZ~#TwkS;pva*sOf;OwAr}Ey?wW~Xd>>V2AyxUAa2;A>rwj%%^;j{!)tJh7Qj%{
zb<|i3BE-0+otY+Rcq+!xba0zS;%PSvtEIwFzQ7)*#b30d*HioyHaaw4AmICkx-*v@
zb(b$y{HEo854qGCO^534E#=tMP=KXy^3=V&IhxO7c997odURYc{mQff1r|O;hy6Ub
zKvRD1!0hmLr_ax>7UnjSL9&(eG>5<<Z6)?e_;wZp(uvrk?dH7W(G5p;XSXlWOv5iO
z%cn9T&!V?+;$tLG<|EvCle9t$eDh3Ps)z|uuFQ)~oFjpRTlspR+ZyeeZR75YZ_Fs4
zuhq6qkOVbK*5T^<8#K~)hci+7tVk)fn!dtU6E?i|l-;6i(vrVvoa3Ugp@6*)cRQ45
zz;uqAp@{7^jfdVczB`x$HHkRBXjxK+8XrCH)J8g_+>Q?|+|7mFOJuEv*{MT*Pr$qM
zMS5f-W&g6$jR!g2V!QjUf(TEK`DD)+Ga`0!I~~oA5A6;LjSLedLQnqL{<DQlNY;b-
z`OFo5q)=pgLLx;C?7*%^M}Y+~ToR$pjtU_9{f_&}dDLL}+Ps=s6D#U;u;loANC;gD
z`_`<VO8|ibiZy+g*^&Flz6jGbVU+!ftDfJ000s;Br2XNX=xoHdcjOnM=*XFG=V=po
z2r5(@HA>`0^DgG~(s#vC*NTOa_`Mze#yha$x_D9ImvY}d)sl$wZv%(z89eMI={)n6
z=SQ~I1%$yr(&!KA1ZmI{4>1LTNk2{tpd6Fe*Sd&u=>C6&Ozqxy@Fqmm%}ffSB8T7~
zGiT+|d>FlZ^hG?(js~4FIwy=YbOM#K2NVz{_%-1-4G#(a+oeHxQ6zXYr~iSg5{mVR
z@lH`9z#*TaBi-v_sA6jMzRoXY6wCBg+^3oVc}*9Dd}k#P2tIO3yoN)ztK_DIP&Me$
z)T+M4B#n-0O6DLdJbL!=bg8aC5yZ0ehZT%v(b>;W<TJR{P)(2XsnfUA!L1{x#lJ%i
zos<$IaegDBrVstQSlKlpbJ^47CaVHU%XI==i3a*`;H%x1Hwh?SlU*`SiU{w;Ewx{p
zgd~Y)=v@5Cp!3wZ6n{?%b(`m(Smhw2lSU-QsGAf>vT?uLx~+^X3S^W|c9D_Zd$W4i
zDJmS|caIr%$03^%jaZRW6m(GQ<FrYTHYnKV6-ZaBA{$oysK_M>8Xo93i09J<hed3D
zdJ~V*S9Yg-v7(~6pK<MMU-V$0?;%SzRSlh0vrugJrlP%wH|YCw16bL=6;fbJL?5=+
zL$wU4=uX8=72^^kkP6JFG3u)$VRfG0yWUX{7qiaQN0}z@oc>_z{GvL_P8ZEPFGfMX
zrtcRYG6ryxDiRBh&_Hn(CVvh|l2PsP(pL*Ircm(U8=k*f17*g4eKTFBiL$Tga&rGN
z1^>|pBQJLPCHDNRj#W1iMI6)6zm{$WcMr6M%eZJDqK^9amuYx3J0I>!CuI(-ZwFrR
z)~cgf=KOs#N-Ai`Iy9U&${fmBjsJ^%Pej4#uMD_L6wm{<)yqBA=HQ*S=4D!`h7^R-
z?s=b+LB_&%XG)sQAvbbleXkn<@qg>?5ZV$&Ie+}y=bo6uEs1)5`%kJUQrK!jibDYP
zYPTK_x@ZoH4dp2pDL6DezProsG&>@`lXl6~Hiw5bWTIiDGOGHbvRBiL4jm3DQa9~0
zgUPFfg=#Mp(dRL)?CpPZwD;*vQcXc-&}ipsJFzN{GLweR-COFR$&cgY78XrG!rIax
z8<RtN-%}GL>-(_JZFW}g&zS;)sfO?*UK&lxGF|p9n8qSPaWU8b0emI+zft}tj*|9B
zm>XCB#r83s8&8P_XmG0w-@7S-ux4kdo?O91x_%3uV*;o-A*yOd5kl{@$C<QVuVdWB
z44dD?FyLEzl9iInk8%$tk1U`5hv5pI*APi2Q1rJ?U^AKrWjZsk>bh)VHz$VfraBly
zX>@YO2QmjbBSN4rP1?kwZy<B+Ge&Uy8fA=k4+~Nfd)ifKwTa2>5e;U3U<jX=j-0&I
z$$*~Dc$bz{{=*WMqPnVw4B-9q^LMNFZqs&+$!yt=ZD2y^-{x0o16aOk@1_1~jmB$E
zUqZjJj{Owe=;1h`4{g?$LmoFR(#G?`ag1#1n2aWu&HG9{aM_q<Gk2e(-Abc*8%nHU
zakj@EzG2jZ_FQ&m)5%HNXOsHwZKG9eRzkA>(vCN#5)zIsY>&_~(0;+Dvn$wlC${p3
zFLYqEsiv*0xsN8ihR!|wu#DyR=bEoe>i|>9_VdlpZ8RH~tzcQ_Wo*4BI9VY<8y54Q
z{dQC;qZQIWua;d|!Ztgyyrvekpk%D&6bh}uN<wvFpEWOGuEk~7q>pHU?H{glWN61s
zzQ_MDd9{QYT@C-9+E0bNpc&jfwU5}~k4I(MLra)&aEXHGUMl#s#tU#1e#O|c)ErI`
zm$8uKf|Kbz6yV%qNXT^<#+v5BI1b)l#ylksME!E2fJXg$WqtV{*!Uym15<V@*v!#(
zxy{dHD7HU-$K?GucD;VeaY}9#JNq|ztIm@QAG`QN<AW!$7xL#D4=Ju;kAi>g=9wWu
zl5_i+O}c4}y8oR+`o49{%i=JajwHdmrjn3PH-BU0=|=+0>Nc<={XB(Myd-d_UG{Pm
zo5KvlM}NmUZeq*xqhGY`G~uIP?+@dUd2CBe(r`w48@o7_XZz-&2GnNp?-TvJfV~nL
zIc=3j2NS3HF2E~wP%M{m#n~@nk3F75F+HV+Im^wxPq&D$z0$+*cwh;`Z@;=@vCIJc
z@xP_?t%;x-G%C6jzk<ze^qC!ZXM*CZOU{cs9^B8g`k#ya8piD6I8K^ihQyoMtrGJD
z5aYhCWNWa2h0M5R=iFfhYnC<m>qvl~wrLtM_M6!L@{=+A=h)%OgL4J_&+(95{UdJd
z+BVj*-E`XS3MZIqFqN9&@lgJudv^~#J&bn#>htg52Ck0I|Il4k@c6r1I>(g(J}x;0
z9aH3kiUN-<RuxqUysS`W(a8w5Z^PcyM)Sj~U@GTIH4eIF{I{ljm|<Y7ff>Ik0Np%4
zSF-ouAgfaf8<$~)3D$i2s5~K15&wiYSyTZ_y8vCp$PNl=Wm;GKMS!>3UnH<p1srKN
zr%i-8L0r0?Ti;C#{8G{%F9fSV`BcLNS66P>{VHTA^0Wkm9`~{kuu=i<7W%Wqcf6pV
z+=Ot=Qc&b}^7Rod6$m)ea*qz<huH5|{RYfs!3}RdM`xe{{5D;t=`{jy=XQ44)P@}F
z`N8&Ig1ZW^F~&|T+6lpNl<3<Rq5#?fJbTo0Rp5dqTdM}E2pkpn3FD$yf^nuVk{=jx
zFqxY6M0!FLbgJB?3@eo3U8BV$Qw9#)=4MUorp3X!JV>1!ii6`J%RlH`RpIlz?ZGxt
zDahKVbm7__JfvHmI$7a}2N&0ScNUJxfS}_3)^KArc>KUu@oXXiSV$)%?}W?2VC?HL
zQA2ew9k>ueU?+ljWTotvCV6PT#S?nWL=(PfeN(v7rw-4p4{U5GDFUG}vA`{Fhtukv
z_j@-qK{7ko(KcNP0)a9tnofp96NwuvCS-8psN((1tpdZ>$F`ZyQec#Fu7>Lo1w0P#
z+H_3D!9K?y6B<B;0*%1wUG`ew%+RdziwzGs--KWLj!<D`O8Uo3DINIq-(6p$NCG(5
zd+n}q(1I^+3uehedJtNRrJm?lgLV~TUfXCbkn&13J)v#@6!D8Q{$lDNHz{Cx&QA-@
z7})IgbvFWfqbHKiL=AX4YwIb!zOzTP_@c&AP2gpJ|H`f%A5qaa6IsxsLi?Sf(T0Nn
zQ?kRCRf{#DOi*C$wE_j!N@T(_51WFC#B_GnUri7fHptq3O@fr!L#rE>W-xBBhW^ZH
zf(GTWUxT^^Tq1E`44me0X;;^kUzwWFWk4Nz5Jdo!QfYkaJ#*-i%hpw$(SRz4tiwOA
ztAO#qt;;F`7I67~=yB>Fb;xrev3^KbfG6iNB?TQU;0yOuf>;?5gdK1A2zpBcFH3S^
zq=y9<W6Iwi<J4d{>3v}imk9WCgq&=*umA@i2}0>9JjA(w^^QP1F#XTnT7k_1{=CYx
zPsqc;%Z~!)pVk@RfZy+XagWVmrsSePNtH5WQ>@pbyXUbYHIW{6vz<FSe#q$ZYekqF
zk0LX%KEZHG$)lDnW{?;Afr4w7hgl!viBCT#X@gQZv~g22XzhuKyxb%Ud1`9Ddh9E-
z+jgEVm+DM`iTweK|IYsmyIIv*%C$|iDG#S+l1$+gTb}iBmKc0f{ad^i!hj@hbH$aF
z0t^Pyl4AD>!~9D^cyR<1x@}33^Hu?<?C)tB*)0G+IC@=$8ktetvWQKD0|uGbDxD<g
zcp-O9=CW=y3u05cXL;g~2}IQpLsZAufp$@KDYb_MT?sevUk*2hl>3UfX<&xY=<BbP
zKeC{y%=-3;3?smqSU%+Dr-#n)*)KotvY=l_E{k<F7=jhQPZ&9S9sBi2#aqCM1>Lnz
zbrx7L06o)#s;q;5v2oM9Ym2kYXv60kg<snMtb-$M?^aA>R%Ay9-$Z64ZvFe9a-=?}
zZ8QFho*Kpu%xz?O5tvb52TRP;w|Zc7p{c+Dy0CT6L6zKoCY1B|{b8!K9$euu=jYg8
zOfx-kN_sYj3F)3}uECwvg$i0wPsD65?YPZwP1RW@ba!Crfoi`FP`Vz)>a>5S#ZoKd
z2_Z~q%c^yB5YvIZ#?*tA#0lE9I-`x(@l43#jja1txi;ucv{n}Unx=)_%Pcf_$%F#<
z4}P+j)&@2*^~#&9IojXjTD?pH%;<P&a8$v~9bWh9a&rm&rA6l!y24dvr02VNzne!3
z_^k7|laDRYWJ|0f=W#43!IX2bF_j8~jvFN|<tsEL6X6WeUo2?5b3i3Xa3_D^*!yH)
zjrPUwuzh1UD=Mvj{h&UF0&am#CFX4ZXiKe({tAO^$SL)1TqA)3Gk+S+i0Ew5ejkjl
zy(PebrtT&RUwTc3tEcnL26gCANVyJAZ73(27cKYV-A9JguG59;?)1pb6`Ak<$AzYx
ze7+~o@9?+RvMT5*1LCNC+;;sb530(XPf@x_g85syb>r=fNI-7kgpWNR>OqOtJO(7l
zJngY>K#CbfD0F0Zxbq`N={*Z_U7C=ce5dbX91F7atGvDvD}cUw7-=(6G-0{PGKij;
z4PE=sL;37mLB!s$NXRPE0M4AM#*{*Kgq>79yGjs743GGhMiewaZT70X`(aL$g2ms{
zekg(lm30lco~T24{(|*=LvAz^g}b@vD26C~Q6e!8>L7e|bgc^GMfr1&cosz^(A~b+
zXEWPG@T}+8Ia14quD9;p_mxo!<u$yxXxvPMIT3X>;UD}c<+jg^l!y#UwzWD_n@5B!
z;i!>#oFJk-a%!5x$)Q3u@#KXYL^%FjL>uCTkZojv)wG*D(yXCV_+3DRz%#GLD>sGF
zc+2`6U7i9;N}U^F?Iwb08n294nke!$5mRnlRz!ziy-wklQwJ;}`oJl3ab!Ik;;QPS
zj7CQd*+`k{fSd9B9v~ozd@M{1j}57y=1xC@Z9@&173pUd+m=G1rghWZfvTw7`O@${
zK213CPNI#OT^8AN`8$X2+-Gd75(lKXNkC3?{(SPb98y$^2ot!ihW-Zt0RR6Cmv=ms
zZy3gp?7hjJhvRTK$KLPFA(1V!LR6$=WVJ|zA|oS7S<#SDC{q327b&3>*&}3Tl)d%y
z@AY~9xS!{9Ki74Ay=_94?8?cInsKjDu38Ga(BLoKsZ7G&9g&Wf3Zg*rkRfhhL>gPm
zd?qFRP8mBOSy>f#SQSS2RE-(=WwC<A+agq9GFH=Fx-jjg1`#uT$p@|Q7=2xq=U^il
z`#R_>-Eu=6e!p|{u#c6)x+X0-=Uge+t=59tu<si1<hsS9!CHB2a^;HY)K?1jaj4$s
zsi79E&a+FGjuEi*>|=>6VyYOIpfygfNgK#l9Gi=_6);gU@9l1VRc!LJx8t0TF0k~T
z-bb@V#PTE_R-^K&SoY3aJ8OP@_}ce-FuPk3`zI0N+1EqC@_J6!jWim7lU{GUSG*D?
zZmhSRV@1LK$|&89_eVe|3h&y^O2SxaDz>6x$(Y}!PESr0fbW_AOyV3#7>=}aKaoQP
zQ|WlRxvpshjv+O~MlTW;;gz1GSf+%<mcDoE?J|N25n9LJWD>Tn=m1qfs=rr6ha+Ob
z_-Ch_+>D{S`4>wqs)Wg&j55d;mB$)W28s0l8AD^6!kb`jC9DCj{JT_K7W;Ggc)A{r
z3blsx`p=1qm_z(Gk1<Ip%vH`fNmPmo4&t-BTiiq}(?K%nK)5JY|JNt_oHP}jNH(vo
zwh=HBXR`z441(CzbKP2Ij8s^T{v2X*RvsgIw;k-{;K7CxpKRxJ7=x8gD(~|JJjSCT
z@1AeQim^$Erwk<+!(4Zl@|3SEMl)5=%#=%u71Z6&icmKOm&Nd7$$iq;m|uA>o8=}N
zH8XZT>$?$TcYQfdwU)xJc7I-pqW(d71o>YtoHBx1dp8_Qh6Fa1(~&f3Gl1S3unN4t
z22gReF<t+eD0cO`=GnX7@1v6(DVZFx0JBg0rp-r$Ftg{jgDlSN$Ys-l95p_G+9iWc
zVX7du!L-Gpc4Qa{HwsAUI)K1_xtwFE?R*&RKJ}w_$>T_rOL36HX+x0w<k8!4hX;#|
zm%kn=JcY0jXD#>NF@Q|rrM%>5F6^SWW@6o?X`~pGpZEW#53(X_hMC6f7?a&|fjh<1
z$kUFChnE-iK>pUUhxJcpj6w*$Ci8a+VU3P^7e>;9c{aa`%AE|DXGwTU(yd8^nbI(F
z=$tOt;7Wh0Nzh?*mZ9j^r{hSnn~{t0D;+3QD@PluX)w3KUNOe7U&x7fWf8*rbRe0K
zPd85ahvMebOTTc9Adh{RUnL#Zh8GnVw8AfJq4?w>xdG`xB>$Eu&b34fp5<m+xazK>
zbGrvxh<rT=ZSrSsO=d07RHz`Zo?bz#dAGta&JN^WfwJPHpC)V#ohi%RTtrWqvmsJ8
zt%xOiUXSYDzdLDvZ=-+gFB%!0*zoa7J@P9=fOA|=1HOFd4$IJ=M<@Et9yD23B2h<3
zQ(ueKL7Xl_^S1sBiapeH`?+`tQAypW_)$z9wg+-wEWepTnVx=W8>W<@#hdrA!gMv@
zq}SVNd^~~D{^iUTGDp#*#8tV2oN93PtkUV5t7E8x{dSXB$R~8PUu8ZeQ5C2|q&LPn
zzfeZ8o!1`BZK#KxoT(S5DqPEB;60H(ipmcCkTlWlK)<;d+{;g=z~#m)@se*NsCN+S
zZr-mhG`2>;SW}Dw-Zx@1c`QdzeGs#fjqgJ_h1;!|pOL{lz{j8*H-er^bUv1*HH0Q|
zm7CFPlfhl)UPr<7FnZB8xSw`w7>&tU(osrR0l#y*<utS-=y~UVg-es8=$+r{9QOYy
zgR~9<1v4K(pIwNeS(+R}$J9mXT<1v;D`R~)|Lq7GP?DAuhnqyRGhbv$%90>Tm@`G*
zc@!n;WCr<ZO`{85ixcr4O7Nw%=U<%2FZ8FZ%}i?Q3_3)A@5ALhMOc-5GnLCUh7xkk
z^r-vi(J)CvhM@@}H2rl+nH3*LnSL#QNbvcK-Uv?loTW+xrc~u)F&-1>U9z?V>(2#L
zS8-$@=eh#)JB_LCZ=FP=9Y5=Ng)O1aK0SfqUIK9SeBYitHI3ehxkH~#SwX`H(M^sT
z1TZmmcKM<@gFfosdce!ShKjkQj%;Vh!{}<XosQZZDj`8LcN4#X5|WE!dbi}jNk$B>
zd-e~CzeA%h<GY0xJ=Q<5c1jL>AO6^Zg}<oJjTO`DqdVx^C40*=-FTSJV{WRpT100I
zj?wyB;jlj{EaQi*@DM2O;d=Y)5-M!JnK;@)gZZwme;96(h1(yUEfm97&=p3%X3s!c
zEHTq)+rmN?I0e;zo<6jOa!+Q5%^1>S&np)Qqu*sfmF)8&(Pjf3uXLN7(PPA#F1Jxw
zJ!L>w=D5G(%`H?UYyhWrmKn<r_|#;&A`P9da;9)wd-L^OIr8rZE5?-2*iT87hAGyT
z^QBHWtin@ko8~eHHa1ozc~?sslG;vv9d4(=db^xXy{P2Ei1C(xd?uve$({Dl%ure^
zc(t*+&zcAG+Q`WJkt+qI(Lwiejp?x@&S85xUOp`G;?r`=lTtAKDX3l8kP$O|wHz@*
zD}b#N^}18ErQq*k&6UW#`C^~V>RaOXV|VYh9j_CSf(|Eo%{%R^n8jagoN`GRvmtu5
z2XITlSY(RJiBJw~>C`8V2xc*iftz8rLR1QZ68aWoO1UuHwbL&<J0!4Hn}A7uBPoE%
zAloBU9xSf^(t)q%q_DyD6^rxNr9f~KSr@_aVFJrzNHw1fHau-)6*naXhQek`LKFO0
zvIxHS?0_tGzJ;gnc9=Anzi#g7TNA{DZad*-8s#uqA2+!~br~qqh-*pE62=4r#RNFN
z5wMZy1VRc?7LaV@>F39ySi*-w6Y@F{)5E>cyn7rEsf${5E(avAkJr6s3Uo*qU%|(i
zh+lG`p4zxD#v+B?Op|w1NL0aQYzD6u))GL6&9OG-mNZ7Awckr=nT(aUF8e)NAVNa;
z=jJ6*S&St=BKxYiD)#u5Lx_7S34TA9ntW4-$G&;|P;}8(!$jWAgx|C$0}sBK=f7Zi
zEL1s0MAujyGq}zh6ey?)N~@|~I|K#nj()FgoU{gZE!&X5vtJ#KbKIPE>nCFCgTB2}
zUo<fBr`iqLcA8L9uvC*8sf5V~K0HfO*Tibp+J=t4)rL$C{K*sa%2;K~YyBcqO$;{|
znm%o=2jL14=NONxVDGBu(ifLCu<S7A`pw@4z`r0LxCvwo;YxodsiT4Ueeai?rS9e3
zH=o+*5;7K8Wi|hVQyt6o%TH3iZUk9PCqH`3k}+?#v>%gKR58O~``*GLV<?+?>wkKS
zj5YSvraibr#_q&1lt0X&!URJKPhJ-p^I$O3q{EajLSR<Ku(t`|<x-pPUm;^0r}%zZ
zGZL^v+pFUX^CplG@p{{ATm>6W9=%npDuWp<4H(xOm_o$elxfCLWo%m_TcCbX6nmNf
zZTGRgDZG1_7D!*Cgp~y;Pa^z$80u2q^GMAUh<Z~MA^#Dv_bc|hesWCMnX9cOFl_=(
zUV@J*vItmLr}V9hp3A6$^oXg}6%!DDIqWs=CWozmG?c5Qen#FfI2pnQ6?is9d`G!u
zu^0c*wfG-dMbzoESxKj;klwWBeXdms8^g=6uhs2?RBk&Lj}~K)Sj!zORg}Qq3veGL
z#xsGdtzu<{vN1fpW&7pDoG{k-oS8V$#0GpTF6`@RMnG40Um{{g0F$mA=(<(U3H3LP
zj1TPsNR{`Fs*!lHwXdD-90Ocnu-(X`832I&jyqL(juR8Va@$Nkm>Z4+1>148Ay6>d
zA5bd5jJ=54IK%p$8&q>TCYQb%0`usCdWbD8<|1<GpmsYqc$<AVT0dw2dUr0>Xpy#2
z#z%j+y&AXy>AQBcVpAWkex*+O)Gwks7Kmnd4mU`DZ;`=d^<iPwmG$!dF;qS+ykRwf
z8|WkyT{_+LVAGjn_jf}h${Vx#;3>ildL5YwquIJJ`;xs&<KQ<WPB>!e3m-ScHx<MD
zgbu{y#r=!58$%Rcw1pNea{)swSH7s84t#hh-(*DngKTX~)=B;10&~+g?}|)qIO8Oh
z-*smhkvKl?th%SO@z1~I+tvbS(^l6w_6=m`>t_;fjSIH9Kj(b%(Sjr!fit=CJ4n;e
zOBV@AZZP`Gci>E)CRCTT&J0K3z>WXBWwi%41i8MCe&e7Co1vl}(uVuMoA^oa(Q9rX
ziKePw@6do^*YmeTXJ`Qz($O7{=K+UYW0f*j4X~Kc<$WJZ4_IrM|5^zTJl_3#O>IIQ
z2p9Y%j|(zF<fMenaVuWfJ+tB<enB0!a{TE=3YZ|{x+h+bkq?sCEff=Y)L{p&a`S;Q
z3j|lBRj>E)K_M3veNv$Y;Zc)2u_!BOT)uLX=QBU7PplIvUDW_-7)VofV~0&YLr;cw
z0cf=yxUkEp2KtZQdH3z(gp!t~;lrzf5Jhx+H1}Q=boHlCy>jP*58V?omo<eT_Lybf
z`XyBm&kO2rIKU0oNSEoKRACqk4*ybOtP0P~-bfzQ;{j?R{bLq3QLyuS=u*a`3Z0CG
zt!)Op@V?~z9l8QB@TGHk`ev2_N%AeEMjJlRH#xiAdsqTa%BH0key2b)gOl*tV1CfL
zyb~yrDhY3|cItW5Q^1cw;`YE}0k}2UxLFb>1-G|nD9b1XHo4z-ZO#coQ?WwHg?MSG
z&Kr6e*FpiV!>Ee?K_Ot@A1@n~B?HfkQhgjJC?FXo<CyeX7{-qTvL33G1^sbH>k@8N
zK=i^$$FxP^j*af!U!8csGw`xbS*ya-+ClfzU&J7188=n7D+jbGy8=GBsvuSw%ltk>
z0tRGka@~jo5Ra8)x<aQ0D#8qcUUwxShv`OA<6#9blFYRAj8cOyBeP~%7o=cQAlZ99
zf(UgI1*<&V>JXR8`8mW(8dT2I_x(;$giCkmL=M!dL*$kt<6mnTxbe7QcqT&$LNy{w
zwJ&Kv(AeFOIDJ_N+^A1+xJrT<&gzKNy*(tnNu5w7;2}EX!oE>6WvK5As5UUxg0uDa
zm``!Y!H|Ct`_3<AXytOqHa69U@)TA&p&2;{)!J6$w^V_5Tnc{ATy<bHXN21SMjr0V
z1mBm7PyuoLs~^6XbYV@^du}0=030u<cDBb=U};V!`Bae}9CcR<ye6ywT+2bVVf$3T
zo%7?p<nQ`mn9F{$sXzf1qj|iCU6jEzJgb^@!vJg>zDgWsA;QQ{#iE)MBw#uLp11iB
zsHoykx3VGv$5?`sm%`qCvx|dVIRJ*;GxA^g65&<ct*N+DB517#TsMvZ=>JaH&2b|_
z#KH*u&?W(Pc`XYUW&jjQ+W1_giQvwM$7PAh!_sMW#tp;>SlYwGu3`%CuB2{Xfeap+
zC|q-uQAXgFY518zYfm?3Vk#7of#6Ix{E=cKxSJZm#d(VWPsOZdIQjPW?NM0^9cBax
z3VaG5YUQC~^Ux_Tb#d_AIqaWOx5tTXd@VxX<$yQ(KhdpVVPI8zReJq}5%g3H^v8V1
zLrbLWhTN(ENRmW729u1SQm|jCrcM^#8opWPY~h8vvyr#Q-Ho6ZFN$-1A_JvPc&)w-
zE}-=#>EUFI!03#(d}Ew6%n5n*64=-wdwf<bZV+H$Fs5SJM+$24v(B~;F+ptb{p6Aq
zfcig251Ls@Le&}hxX}~zV1MKJDPKbXQlMtYTA(;2yt~Q8pSBNtGsVjLzafy-Kagzg
zAqwX7!Y|+m4)`ZtCD}<L(C)<5ALuI#_SuR*JdW%j7m+ZvXn#Xs?`3>Wld>ObZbl~t
zEN>zLe<Q^VY7HQjw%P7xj{p=Eg?;4r+CWxHiTtyS1|Zv!d@ha357J9?%MW7L5l-Cq
zec8_X@IyW6$<TLR;4(SRyK-P1F$s?_=P1^LFM%G`5!ZPjf|Z3$B4Hhg(tnru{huz}
zZoH#7?#vC-9|Xgl4L1;xcM3;MU3KA_g@Uz_H5c&In)mS7Y$A5^cVdcP>wt2>+lbm`
z4wxVo+4PldA+hD>4l3@~0Y8G)%`z=^xSW*qgwK8lF(s#7AHAXt2(D!4_%JJ=AF{9y
zD*uqp_YTO&q!#oRJ$YDH#{#Z7_ZIW>aG;yDHmK^P1@a4?opn9T@UcC_Y!{<}ZH`c6
zxJeU^XH@%#Nbl)45)P%W?E`N4Um}Z$CY;<pIwbsn36$uLS~pYa;OA%eFTrm$z$Gr^
zq8gP6jwz>ps4Aid*B71D0ed`K_r-weIzJP9qE71XiZMc3%B%C6s5<yf%Ug<YGl9Oh
zRbYE56I>j;)T3ao4odc?g+0`npj#+Wsnv-E4z1_!2zRT2lv3<jx=1G26;7xf7iNQu
zvP0Cx(`sOBDKyGA#{_4OG95az%?`gZ3<C#f)PP3Ges}gNGfZDfAD!Rf1O`F$59glm
zxu%lbb#+*vH#G9DI5#(V3|47<HByC!*ozz+{H!1;{KHH^lLw-X7aTkJn*wa{{Ct6e
zY{35W>CYztyf8~K{7K28085{!EXj}^GP&+v*F^cCN<1z<&zb^uyuBg+;yGad59{Jk
zIRS`ME|jCNQb6Re>BWUzPQZOj*}**#1cv?YYvFBVfM(vJyf0jESG(n(x3Lhg)G=sF
zJs^XXd2Z437u+D4YX6yaQy5N%=esTik>Q3;^3h|@c;II1pr}ThDCm6k`TE_C49cw8
zucB*sq2iqgO;^1*6nEauM)k>XP?k<;Y={rIz24yJ{3L;OU@2upjSO$hengvy34pSe
zxoF`YhnP5wbw};-xQW9Jc8d@}cxV1px$(I)uzOYnFj$g-X`mz}cx*oqIJ+fJjqdsS
zdIAewAQ>{A9Qkk8Ul`6Gxbf9M4iC9XpEKnilYwygX=ERlC^Uw@KI{@I2U@HVIqHAO
zkTp}N7TqcadHbHFEw{>pllYwXK3fW`XSYrd=1RbD_=&Tg3JP$cHuC-PPZUs78J|x3
zAPHr@myEk&h`^#0>BH)x3amUsxS@I};QEje?=heV+>vy{S83Hi`lTn`R+BV@L{#O}
z;YqN~BBL<TtOgTx8L}}yWME;UGwzbBGJHyHNbe|9hx_VH?ZKn6@J;F6!vTL4Agj>L
zNS13rb?WnO)<1Y~R|2BA5*b7iCr3+~HDO!(TIs}!9K_vbcPou0!-E9&Mf^W4Xmz&?
zU09HZx{HI{YZw_OE;yI;AJl=zrP}qk1_==G=FCc2CmE!$6W{X-birI<{#{Xp0vvS>
zi?ZE2f9VtxXB)jf=+qD8bDklB2vt5M^9mW1cG`+O{S2V}u!ds=P7$1B5r<_~GH{f(
z^d9_V2t6+M#~1w-!QynAQ+u~E9N~A93}FU%z25STvrG{JPPrLG0|^|d`huPL0O9fm
z?w8*yLi~I=pU_c7I7F<KaU&SPfivZbr2C4nz>U;?)m8x0>ajECSw>)yh&*qhDndB3
zpXAD<96aQ|kv+Cx1WApvJ56tiu==K1_vK|-&~bAzyGJ&LTIQ8WOL`*kHl2#P#v%=$
zKl*%Rbu@<IGu4&*@Cxwq%x={)GYOcBH9XJdX$<9%nA$8!0L5o1bN5~f@A)7dF4Vyo
z^d(<-yZ)1dtYp<!eP{Q2Q^DJ|Mv5^k-At2f|AdDVZBK8x-R1#<@%tqDT_ZqU$6tF#
z%fi@eyV>Vj9N_b{@af67Mv!OauCt^n1E(3>)qesLw5eS1<M1~E9nx4@&*&b<XBHTE
zsnNn>W**l(zY%0S_L48(>pv>Z0b{(ZyGVBBd;5nqd%3*%qBP{OI9OGQl>f3`Ls(TT
z^=+L2x)~@8)qB0Gw&9lSLzYEkh0XW;<4FYic)k#nehUHJvF4P!_*q0;pJ*&4fq-6y
zZLuCI2!Tqfk9@)=kjytltD4S+F!kF_s;8D8+E?tJYgUXRao1;GT)1NZughn?zZl}(
z>n}e%Gj9zezY;Z_Y1{PShNtx6NktyWWjL0)cKRpM7^75~%%u;$H?f_!d0en?xuZ*Q
z<|jg|_%ArkNe|j*;?HJY;sCc~SL<8+Bgo;I(9<^gy3kVluHJ1Q8=&<T(uI?wNRf;s
z!|-1nFrUrC8?-aSk&eKG)&t{+w;Y?5xv35`FvXXcOfmu^r%4W#e+u!Knr@5A(S}o7
z@!z!!7+|DJSHDYd2FbWwuO6_+DF-)@&Zagx5XyXcj_uhzawCZ8%dWc?Xuq_Usku)J
zodIl26v6^>U*moa-$za8xt%aFpS2GdZ+91c;#)$Tcna1tDVo4wBGsAtnFbO*p3_<s
zTtV)Wmm7leHK6qFP%WPv4G6#F(i|kOA+u43jwbPIfNq`le%%rrDAbM7ZhLGXtV}lP
zgNf>J*s(o8#uW#AFYG-#A8#QC4c;j@u&Bc&@u_?pA`UvN>vnn=cafT7huJ6N)u5`6
zj`UCr2d;O&6^m1GV4F2noWZFE9*r;h%_%rgiTL8Rm`Vc|X{ro8@2SGorJy4V-Z-$>
zth!RTvJYlCDvhl0s^D|nO)Q}b2f_ii{jdD#VAMHc+4nUC>R(p3`bg72S<Anb@f~`2
z*4o1H@el<rOGjrYm(qZ3+OU$!Ge)4M|IUgWCqqe|ws+s*eZa75Zv7#c8JLzVwyLg^
zfs%QPQY}OaCnSm|Iow&nAw)?tLyinN!8b2>Y|{d>^LS6`Id)iGD(EbEpaPyxVrt&(
z(1Avl+{5!vIUzjuoyLV#W$@5&__rd?0Ph7zKVC9&LrwV0P>mzXP_w&!I^j4Ys0Pt;
zc02HZLe~hTxP=7PDn2$EpO|2d-#Ge5Eibsq<Qp{|Bmo!i()b@c7SJ#(oE<gfhmYYU
z^yM8&aMbrA?J_MJOvGGQHyRay>BRCImHtZ5M8g&P@+Ujk)l4NQJlPM{dbSR}`;`D3
zOgcVIaza&zLsWgTFi3=5)p*>g2$cTm{wti^;9%?VmL*3Nszy4kGoI}E;BV{~p9v4p
zJy(GLI>g~~;OX?&dt7pc^i4oGjTe-21?z;eB*EfXHEu3V5gr9hJFe{T!N?68KfysM
zI5)=D7*nMP&&1oFuEYqyZU#xSQ$q%F2l-tLR~3QmVUIUZ+7Ew&?Ort%$bv+9dh>x}
zN|4ageeKDD5DW_`op>!R2cl(5+J^H=5NOU6S==Q8hSy7Hu2#welWAs*Tp0;!E6>}g
z^oxPG;P<8lI|WcGiTrk`KpAdT2sfPAm4N2sJMvdHh@kY#Axz|(3J||A)0;|20Y~Vu
zNV-BLc-RoR9-Ko4fA8mcu9nj9ODDVWp}8_lcm2555JmwD7xI?L4H*E|38L??3ZxHT
zv|kTa1<z>W0K*4aNONVBGAJWMx{^fhp>#FqleD^0$|whE?25kI&J;Lw=K*!3PaTZ&
zd#;0p{2q74##W9~z-gUJ=#;4@Z0f{tyon(|ZSX}ENgGwD#|PV#f71e=L+;A#l?t$p
z8!=c)P=)f&&_bVZ9ndMz6L4%Mf`y&lc2K%1%({uZ8ldPw?$3&Ojs`^#-jvqU@lu66
zr`%55sy=WJbrG(oD}h0~hZ^Ss1ypKI3|3YfLXoJ(;RBi^P*CZuevD8+Ht9;;UW~)<
z=x*P(JQ6ffrTkQE$zZ52xa+qI5Esbh#QT*5gYv6I;&#fQ7@OBYtuTVa6Yo`cYDsY7
zq~cfCLPc<4uTQnJFov5i<c*BHNx;^}HGH#zu*a9(RN;DKuuGRN#hR7iV14dTO(q_`
zaq!((7NEk8n$@8FvLbXThW()nk_P5b*%Oq5RB)2qQWlul<38@m8-i8hpxd<E$>>al
zi$y<zS)VGv50$o!q|W_79`4pNKR|_p*$>?=Q3-I(A>@M0SzZVj3+nkRM1>=7uPWQt
z%Ym?$w0V;ZJ9ylE5>?n`41S8weugXKAy6XVaB(pm_#%Wvy=Y?~JUiKc?2Zf^%|BZE
z_V*@YTH4`rMBEtIE@nQ8S=!^kvf$?U`8kBJd(oD%_YQ=~(y@a_CE>*D6TK~Foyd0R
z)Ikd{0`+K?DE~)daC6o7d(YoG^l4uH`i&NV2h#2j#rAR<M=fl5HT4sH;-kGO-~@1i
zZ<4KGN)VptO<9OoPN7-SkA(~x5LhtY;H<Xhhq0=J(-#@%(WwvCyrDyekd_tyLUMv<
zFF%*&3cmeCBX~+T&Hfnx0p?t`%ejF0<w>L84GZWQNu$c!at2WKx7S$4g&k^rBs)H{
zFQV)DF=EdS>jRU{ktn?iW_Zbz5_7hD0eya)^L^DVJ;0T~B*~8fmSeN<Ce#Jg`KMz`
zTB9xmhdhY<a*-DB57`L!{r{p>dUPSIOuE1rz~ZklgoE^#KlCH}=Fzq&Q@d}rI#3hx
z<OoG{2WeXzC&xXVML(Y#wNJ^_2D;mY{ri|UkdG>vuUwD+MoG_{<u{hJ;AZq&5xVm$
z$aG9wldkX-nvwiV;GLBgtVU5QDs2~$fVwWZzR_{?XtEM-N{J@?4*&rF{}h*ZJk{?T
z#!<@N<Jg>obL@F+&PCF)BT9q{Ee%8xX-P_<LFP9JWt9pgpARxhRw6AULYgW<)bITM
zeO~wLd9G(&*ZZEe>v>?U`Hi(%spX_!^9XS>)iTvk!~_kuO<(ivoMgRAIeo+F*)Z{<
zboP316cew+)D?!-jj??0Tk~E2F-T~0rDn{H8bf8tiL%Jr_pF@RfSLN-w}elmbwIVJ
zF|MsP=04~#$ZB<3T#@+SD}r}o@?F$ZBY2luWgg;t&8qzq&?xh}k1$w4=t`_Gf=>;j
zYJF@k>%;7Ofxhe)L~=p`PcUJK165Me!I!&P6RW;0PNzI4R5DwX-B^YY>GV9`ANh>c
zwp`v}zN3qX4|`U6x4{4r>9Ri$+-qj3ToQ8=$m<}YV^jY`tT90HL(Ux{4fQO}Vy>B0
z%Fl?`wgcjad-M^SludkEc);qT4&C}L@s!}>H;%mJua7O3zfCUWRI-+4?7H6(-b#cF
ztZf|})<f?`KU(yGo2<G&Ro{J0TZq%tMUQPfdT{>s;mZ57IjrfM5{xO2W@1mbp2!1Z
zUChQvF5|5~$;ywh^=oZzB2HL8l&ucZ!P$s)s&+Ba#LMP8&I$=l#HQ{y!lpUe;G(bI
zTj771h$`GV!$@f&)OXH~h`iB4=f1Lx+kw{zr(Y4?s>4l0sr<{Q$_iTeoxCsKQnZ+m
z$SYan5Z+9*2W8S$Y|})PKwf-#Kslj2b*h|L-9n^GIqvYR(14prLh#E6cL>T|yY*GR
zt;Bu7DRmQ04Fp@%2shljM`X!cYB^LsAtv8seto=wfnCD$93kb^M41@pv+%WTL_*G}
z`}+zy<bO`?Prdt)xFzC!)<UhF_^>AB{a#@@;=c+})^^tsr#d~K#yWHoe!uP1T@R?k
zMRM(<B%XTW*TPm$p;ui*%__CLpjT=*V<sh%OEeH7{tr9CO`a2j!8Pqy?A6dx=hl5F
z?J?0XJQB90u7@Zr{Gs)vQWfuHYo9+!Y$noTwwSL7?<Gtw{k9%fSH;*F;jWOPRwA&<
z`K;RJmxS=>+~t;R8X9)ptO%ceN{n&`df$kCMI^U87~e*rA$>(nT5x1LTYtTfK<^u3
ze_6Ch{$(o0IWO|0%XSf6o7{Tb_74yhr|r%5P^kE%nZU1>*-cFBS6Y<2HAFn}AScVS
zRnVU@wQaX;524eu``E3O?+N?8oHiTPRj}j2<FO&pUP6MguK23JC{eXrk!#}}Wt2+G
z=xrB$NeC4s4V5n)BZ90t7V>PBk-1FJ&1dB+;#j>-ot@DH(eN)bcx{mq3OxC{?p3}a
zctn-**X2wSS^U$f)jf(R^axVp+d4q(9GFFf;}?Q2s%$WhTM=CXdMDjWhlsd-CCPN^
zccS`9<kzd#3K+c|7vSplo+#=#ux?xH6v1b1`BxxD9_B{YFaD~G66cCnu3%;TBy?-~
z{~ICYptb!*hM(#faRt>zuKCjh<ZIrU3CQ8asQ$=5-wC3_JlViw<TqjeCa#I;Cks`-
zsz+kIlSER|QKPcJd18-ELzQHe4E!&bN*%iJg{b||elUu$NEob2+^i`rgRTCjtiP=L
zPE04;WUW)=AUEH9lr|JgL3{kN=Wpkxh{2iTZeu;1q=fLjGtFP6Au<~IrK#^H(UCLI
zKUTAZ>>D<;N(+_-BZndNaeSI^b13h;)yqxxMkSZ%O-cc-ifXb(vqZw~+)Szt4|$7r
z(!L>53Kx>{c6HRv6TGcnC%T*YNImirSt}|9A#cJ(D|L~eWCg?z6$_FAAzSgKMiM9J
zh&{83gA{Ge>=oWCLh_h&Q_>DdV&CmT2So}OX%^c5VX282`7f!18f7DiXEg5}mzOOi
z%Up~i{dFZs^Gp{{VHHUTPn<H=)LKT`-z(<e^pzsVk9VKUP?Ur(<y_IpBp&kgpg}!%
z3x#YLS<Y~?lEi1mda_lApZsK_I8nV{j%>SX(wu#iy{@rtWIRQPR9?<KvpZ0cbk}Oi
za``EVx7?D_F2y1w2mcN?)lOw{2S+1)BwGpsE`#|u_luEqo#_0<i&XN!^K`$qBxzI%
zKAHR*B0)|BPBV&6sFFhSPFIMh6u8HwFP%)4B2|_ohOf_6CzV!+J1*ZPizfGL+q-{I
z$bwf>uLM3Y$hYcZ6E$)2P`bE#RY8&*DfraZca4V@nfEU3*Ly`JB=xqLByUk93xlc?
zZ9eLdS*sf|YxGrc?(UQXS*1*>F&qYxo%PAETOT_^4QL>Is#Cpusbs_VuTfX-7?6?2
zE4XFz)KE4d_-IN|l?>x582U^xBHx@2Q&^S6z_BxhBVKcA<gPR8Q{EmlCV%N)JqHeL
z^sK+iw`QD9lEGT%BkGtW@$H0X_ELQ~AJr7)8`dDhr|*3^FknLd3Mv;1^E5=jsn^BJ
z-fEFoS4Q=wH<*&ALi@JVe>X<`v8&s&p6ZZ(w%&r(9%kfer`o!q4pWFNk{x<kdgMK8
z(e|UUW@OoEA-QG47U(~3eyuM@pM1Z?dRjx<j2t=kaPpLh4QM>=1*@D4NUquIx_4Ym
zNmZ@$quIHDe7N%l(@q0YExC6_ca%w94NZGqscMIH)I6OyIYY7ye-3zkHzM7cyf?E>
ztbpeqh5w|q3`uo+$wwgx24tpCTXbEiJ>1U6r!1W}AQPV)4^2C-L(XlV-tLgP62Tk%
z<rmm>0v9rTN6P4=K(T;?s-^=-Eq7XMzdkv)*0eb1kqQ}L((vM6m;;h$91TB>>XB07
zr^_A+QpntZ-G{%0J3#ACXXDd49a7{%Y?7%0KRJ<*&JZ(oz?qq%x>ELi?=<C)Qni~R
zUIggS5?fZ{V@9d%(MJq2FI#EPe$mgYl=Ae!&BiOSW4gmYSy-JUU5j_eG%dkB>DH+F
zGxj*MvD<%cGmTVSzxCbmr-JzTF(G}rcLnH<#hgs`JGnEYp-n9pgG*n_Rzh(Fj+t8?
zdF>%j?u(w|hz^y6)e_-XLA&e_`gg?pOq?`%Yh%H5)Ou-b55L#?kFZ6_LC43(=Eca0
zznL>LNff-gm&Nx=(H8YHPp6h;2$I1X++05(gV&d>M1PzHMver%6#LFiHrDa2K72_A
z8Us9LPZn4hvwHB3KD9_}J@PC6$_*JvI<$TaU$jAraJ!#__Y`rxZr`@jBpD1?j9vE;
zvq6wB(f)IJKXEntI=_jR3{J&g(<n8!hVB+J!Qn<1Yde=~>j}0GJ~H7Exv<{~kEnXX
zCle=GzTrnhPramISg&HaL$xJ}uGQxW?V4ukmKW~WlS{#XOv_c4fF=G|IsW@wwZO7o
z3@x;epuj05=Dq4}3sCRsc39+dqSS(8^$uSObgoR=yzDav@yo11GJPp#BQ@}469tjJ
z@w1`p%yF}3MP|9favXPGzI1Fa1uxfiH<~;#L%!OXc=rdq5c5(Ey_rqHP41|@H(bo{
z{UMis$Ra<+f-<_eK2R`u!R4gyfGNV}7rUcmgy2dWs&I0ULE*6sSH%cZ<fgnUzRWLz
z`gB*T%z7DIvO00}iMS~=Y})Fz|A|1ahay|QK^DGMccL~uFu}UxLW5kNMA6+*@*$X8
z4&H}9tQie4!548Sf9vOBuo9%M7jKt?nd*I;^GYVjIGK6<MwK|Iy$2qvmCD1qS7_++
z024mvXkmA=C9tOA@W;XH3fSYxbX|Rei4o&(#b-~k{qmc{$mU8#L|n4&=ZIvY{*A{p
zPq-A0%YIm!^il~IRQJSdyD{-qRM5YMoin}Lk3SGStqe}eSc*N9iG<G)=^p|qh}yI|
zw_QgC>juu&x6_!QKVtNp4U&QD*p>JEZ&h&oR?3{G0ux;4Iau4mWHGa`ytXWb3Ol8u
z(EU^<6#wZ9yhxP8>*U(=TbyX<YuYh---rnf4qM94VtJ&;ZM8cksEV-sjEM(qJ)iU*
zZHw<wz``A;8FZ;4Kh>q5_XrbPICQTJb1R{5D5GI>ni}f=Q%F?4&%_be{oi<$m2u#N
zxV@`~IxZP}j@`P*1eIdy?@lU%V}ST)CPIgeWm1{MdJ`-O(=~k;sDkM=g*9&*>5#aP
z_;pp433OVl$Ro?B&>jk#E8oR{#^uIseHy0dOuNY0R!l|L+Lr0}OElmeHh9qOrYVkf
z<SZzzqrs`*>RiNW4Sc1}ESWJiL-th{n~Vt>?${}EY?#(Sf2q&+ylyl6IjP~UdX&8%
z<6F1m9W+sS@$Ty82y?{S6kLfFR)c_njl4;eCQ4@>?%YkaK#_lVx5Gs>{J!UTSS3Ld
z9*SFwwR<fvdVctnfPgx<eO;|G_Gu#5ZhN&wk|kb#ahTs4u8#6~7spORO{9+wHig+*
zA&0tCbn&S=WUR&dIomZL6~lib;+GX_rwf#71?l*vb>1wGr2#{K&!pNsYveC`D&J#4
zM|oTsxBpoN7N5wUYPGY$E~&wUSFUtC8{l-exlf0o)p*g0mo^ZuJ|;fwOow~v>fxRB
z>JUrVV5{lFg0btY^GRbmR71GWDO9Rqu`QwFYa0uX@Bixj#Yu;Kj$OWYiYmO7KV-Lw
z1L+E-<3Fm@(e|YvBs-7>u9X~Me+yJz3d`vBQpXpYw^uTBsED(E7jxJN5L&@uw{1iX
zn$wqd_s%MVSLA#K??#|2$CdZ<W;JLvy0$#Os04^_T^7V1fBtmuqkqk+u+_?)Ip(5(
z7ay~Y87@H5%mn9tRaH#h-o0}~Qw}wP{udQ20WNKUF8wGPK2ECtXQ3;DyA$Ge7K(uC
z16_G$6BQ?Zj8KOBq;a_{`?~l~7XF6hD+dU%IeK1J*_o6?Std`HT^0*JQ(gq@-=Kn0
z*3#vU9uin$+|)+5V4*F)iT87^GE7HZ#u#$q$o)uc=<cw=dN-#lTCbJhYqB)tpST$I
z^S$`0vDpTGx3kyu#VI1*x##a6D^dJCv@iMFh&48=Ov_jrD<GTY6qJ`H0`+L)`{lvb
z5U6L&)92;zS^L5Z4oMOC?YuD2JYj|0n^#zGdt|}!OCn<GurNFo%PRvztl;82H80jE
zg9UwSml7#q<jGV<oE*0Vt$9C($P)@K?aR;q{Zk0!tiL*cuqA%`{)#UflScTL{wKc#
zg~2-c_j1{|1stV>9rwvgBkbZ*ru`OSJTRjYLOU(sdr0l$*_~3bh%LMzHzEweFrc&Y
zt2we)T$1PLmV}ImO?uH<5$KfA2gMJXBg;zC{fdhulxpe{^=d?574}2<3Wqrqp4XC#
zA0(h_yZK?cr6>*vOkBxKHbYANMTM3$37AYibmQt4g_Gi1k0@m`oZjTp8Rad3Wu;O@
z4pCy*XuZqs=zUWp&mX&<Vk7~^?og*U`r^p=+;VlPn<+m0aHCvMm4L(_ZJiDC;&3#G
z=JNV(g3IZ*O@C{$*Y!wJiFqM`e2VGLwu>gnW^S-@caQ+NbB~xAAqh3b@v0gd6Aatz
z`C)QU0{Y{Wl9UHhP|6gykNe6*&eX02hX?HWt2u7uH%r6gmw>_1>r8}R8C<F_CW$of
zBgaxkDEP8CmCXoXqJ8_Dk2jA<qJJj-dW@(n9=t55{G!T)RY=psp#@1qoi@1;<thiU
zIIEM+Y_6+KT>Wf&vJ{p!Qt7dI@}M{cRljI7#`FDgG8RVCSSXyR@a0s5QGVa3M4mBb
z_8w%ClhTNf4^JpRpoB)<V`*h4jWNf&|4_|c3OJ=K3Wg6U<Lm4Mu`a?GA-Jg3e?bOs
zJzhO&wpBqsZ`S?Xy~arCj#yt6D+}u59kjI~R16hqs%>Z2pOZQn+<in2{~gJDzk8I5
z$BMQZJ_*Ly5wP)f#5s99n96J(sih%WY=Lfj!x*YQ-8qj+6p-MecTON(6?2m1#@)}2
zF+#2BihZq!f;LiVG)xT_%MN!}3$o8AT4OwyPZ|5#-njmCQpcW8`v=Z@v2#j6K<-kh
zGK9|Euslkm!{9OU+AEldTX~52&qD>DoX(^wPSMexb#&sPj0qGeG|LnJR3P^7^k$Vx
z24V!uGD1>Kurztwt)yF2aEI&HhHlqD_f>w*%d(~zth@Tp(u;<ktlKU*OEe+deWvr~
zZBsayc2q@ksNzE#SA<leCTcTEdai9SgR~0wop0Aw;rvEQ*LX@3EsLAKaq^g>l`0)4
zV5bK9H;<Sjrdse`G!kxWG{>ivf%cSMHH`1_=z8m=h1kodMUEs`fD+;y1s`=pd+jKD
z@2mx1d6zJ0S4&(NO$sXOR>y*Nhy<^!7N#0sc`;<Ikg9C_Igd$)pWoTWA61&zVBeB9
zI&6hH7Qb`i|C>Me>jk+CO{D$1m$xS08i&JP9MPzyBXiBso#*#xfNVTIvTBnJ4wx#J
z-F{7n|FG=7XNe445=e~x!NtO7J&w-T19YSX7s<bgrz2=*-?fSi7U;QWlK-^O;rQcR
z?^(9qB~ygJeL-MUL+^>?Wjb!xcCl&{)S$An>hl{rwhvGF|9ZWKj^gM0`bIiw7?|iU
zh}Z?Z{Ae<MV^kfBZ!8Y=9il>QhgGR`0>J<Nq4)j}b^JctJYYdnf!4|=j&+v+!^8a^
zRWH@>S;SQR&<!P21=ck;T>)bAyz>2+YIwJ0c;TS30%}SF`re)c7P4O?Upk?RJJAX;
z3_=!(Uey6Vqk!K(^3!j((lGe--cJrTS05-D52SAb4sLlLDa=hnVb#}O`7=_8o-O`y
z+mM|X!{!@itf)}VoE-KhC2)6TA6MTJz`a7aG%id9mkQ^Zr}f0Kmv7ts{A?C(FIP!A
zaZ4FSNu^VDFGUfv?tXir1`8!-meb0eO3<L(Jy2LBf~BR0`aYD}z`x;EYUO%GNF4C=
zsLT+?m*M74cWoQ!>knEVnUII<%H5)y8A4!$rmii#VU6J(wuWaf$l;6)9l{cVXg14z
zxJA(#r_}qD);P=JO1_hrx~Bk$)c)thMJu>gwXHotlfk6&VBn7teyk~<di;{l3d>tJ
zl%5o&K=R=HU4a^YbUVjfI}>k-jUknFiZas3@LgGQww)h|>emG>&9S-VWq3oag%nn8
z^c~Zc6M)-)B5i457Vt5Zc^rLE67RCacJ9g&z_&HpKY72KBiZ3`j^Q&2*s3Hwk8>2n
z#Cgt$puOgJttn7&)=~mL2Sz3K(S@KGRI$MG!wk26<rWG)76(_!v5g#>!YFnU)^vz6
zL+DQfOWJmEw0F(TzF>&p*3d((U0i0^6HPbORTM`w^TjcT4iT*9MK^iD6oRsPQAuCL
z&}>9XRGbh+PII_sGL7y3FDw_Y_KKl<?5}V6Ix!rd(s(NS&;%vp6^EPHe15!i)fzdP
zIQ}X)kQH7gkPv*Ec=Ur90>%peo9C0jfz8#MbLN=n*-DFb6BLKsUZ)GuOC-Ugukpn6
zKPGtVT@*Xlh~sm0#rUXz6nZQ(j`uq=VS2ufdF`q=1{H!7FVm&b>Y+xCaxwAq$Qjzn
zf8tnItlR!$Jq3N&W-6aPGKR|Fx?Ofr67ccZ6ty{325a7rG%q=7jC)s{9PccZ#MwrT
zZE7R3xP|rCCD$6Ga@=im)pbd{l>e!F+(8}}1UD+C$s0pKHc#HdTMAb{(LTl1Dqu_5
zy-xXABdl(VjixC{<IZo{sE_taNVy~#81T*rtE~UgH_S;xs3iG7?p|fw9c%JbXg9*d
z*5;}kV-yJRO%6J(R6*-aUM1O9BbaL%2R|Q^fhTouaTk?}j;M;Q+MPzQPv=PppOZzV
zirX^1<urt*sL2|P7@;7hBW7Mf9_@*`EizLyycSrr<K<@O7b`O4@_Gf-3T#su7*K`%
z*!}NmOk+r-1g7a{D8lhAYtp+z4d?CzxZPmqPIQgJ53esu$Qb`*@~M{1k1r$+ayA>I
zucnJ4Q>ctw*;PgR3+X7-E-P9|XWxtYEa&~rDmW%n^^bLifrRO0D@QVz=y161E-6KY
zqPYJAH9!M<>IYZwDw<%YiSM_#ZYn-H+?Lu&*F@3H>gkk96I8u@%QtnFhJQ~ACKg_5
z!pbr7`PYr6IQ4d~oTP&){Eq$GcX*E$f&;W3N{E;tS-kAN<Gd>N>WUffd9Q_4`<fGX
zzA!^m{db4EH`I_SwU<0%ppAPzyDe+4o1;Q+G}vIZI<!YTDw{mD(M3e9VaBrm*XcVU
zr{1We|5xo@`E}Z8xI{K=^R+~#N$bomUplD5ZDgnryFU2JS|=MTG|WG9sd!2UBgLOr
zFh>iHY4+yF<gM}S@9T_B$_z|<?edtK)5Lnw+)B5f)@U(pwCVC;z;I{6p-Gx14(__%
zG55#@wVC0^=b{<#F_;=HR?@(44XZz+kt}d8q!<OpFo0#dCQE*>eLXtJAY2I0*?!x6
z{T2rN@7Vv~xX#u)mp)tP0SM5$Lf_LE2zgg{Xv|U#mNq}f53&9E5=Y~c8Me--j16af
z8fkEuZ<K7V0!m80+G7J9odW|M87rs=x#lCdvIlt0H>sf7s*d-Wvc;F0lyNwtHC}QE
z(B2!gI+v!7hDyt7seDDuZaQP!G5}oju6w1jTMhGrf=a93$)V}HsL<*z!0%*6Wl(`C
z_PnvZw|}J!_NI+3ZNCQ$U89q0duXswOnka?R0`Yo<X^100Qe`m-oG(N#hb6kGxXU0
zPtEtYIvogzT=ux9BTq%GhJcCaTQQh5&wjY44SX0avT(Oi!P_q@RC&zVJYPKYC~%ks
zBey{{!>!7AlDt*Gv_u$N&%2l9Y++$~#w|r$P6=lFt~uoe2x6>bN#e;q8;D&|ncNho
zfLDX(0yUHP(LQo&rQvED$nJ|{iT;*D5pjleR_24<vf8Y$`_@Q9)tuc)S!__Nz4=U<
z7q=CDId@X6@u2(XI7?dwmzaC^8;9^9k<q*7bg~tqA{1_yev!u2Ija789v+O2|Mn`J
zw}hhk>d#qEr7#)hxI6yaa-6tm?#C5kiKNi#^|_6bc-z0=(=W+`NaG`(4lgb6wKw(M
zyM769(DHQM!+GFM(ZBk4wFSb14f}Q2zS${w^UkZKym*zo)HdspId~VzeX3sK;Q3JM
z?bN^v4$OPUFwN1@*6F|?#4!0mo9|E&AHuFK*nFulL&EVt14nJeu#V^`<Gsrd|4Uku
zM*3!WT_`ZQ^_?gpp6UD-^IiY}yNeDbRhr`QXYRcmsiL?e{JurNPzbY`by@nBrtJ6g
zeI~(A6lpJ(oy+-87zH)~eLgKFU|JNsXWFs*4f)(g&vX&U#^32*<!yrY;-6BU?0)Q1
z0>8$Uy`orIR+C}K=KN33Bem=uMKN{EJh)|p7*rkX`L-l7@%wt-%BcOKkT_hueU-B~
zh|KI;QkqO`IE}}#w?y$WIXEJ7g9Hlh9v8jUWsDbrCtfYiiQ++pPF27@No3WeZj3x)
z456Mpjk}x0FfbNlvpP!(dMc*b!}`W(;@K1v*&_zYir2+lZ=^9A_|b3kCnLltE=e%-
z6UXj{4MR3MGEh)x{~BCsgif1JZNm%Va3_vsr>DuH>R-a6v`8aRJZ>C6UoHXdsQj%-
zLh?B7uy8JJtr0%C#Kt(Yb6jgsK0Yu<0jg29d*7-X;jS5XuaTP+7PJZ;s;^K2B|UD-
z9zi3d?RmV<1=0{G(z|6JtBmcd1VfkqGeoeHCRhFn3f2V~%ZzPPLEv_Oddh+!V!iZE
zNc+fOg}CdX9uF#{lveU^E;mA9lPcH#Q?j@n@#>m{6Ae4=ixq8BGQxqTq|0bxbI$9?
zU?)da45vm~-E=U*$A_P@UPvjxwv5qH;;IIpf~CTLj~Kyr&1Zdjv?8trlx%$KrH=87
zUm|^*jWDS`iZ*s$L{=<6`rVI?zzYpCwaUhb>7x03u2RNB%hpMsKnB{~Z%chUXAIf!
zT-(pFD)6uUls4|G0ei8dGbut$I4q+Md#|M;>g4BjcN{fQ5gL~^ca4d#l<7K03Y%+r
zwJ%y|Xu)dObBpvk6Lx=Fl5%{EhUKGg-bH-T!d>6Z#{SDpQDh^>>3v5P(GRY0%%*B%
zw2K~er^gh|$M0D;N2y_b^|vW)aUCT2ByY31ZHDUqs>pB?by#yfSXU6NgF{<}#3HiH
zQFN?y<KuC4q+0m@3_GI(=8tDP{-s!8BK)kw#A!M>6OXv1AJoB-`fBdRbC&4aa&_l2
zDF%+QYF+j)bU@~H-I+OKg^DQ0=YB~H==u7%iREbHCdb{H)hDbGXQZDW^??E9nx`)H
zFSVc}vhli9xDBRj`A)d0XrSHc%k0vAO_X>k=2m*J&>tUDkYuHS19yAxHRfxeRqgdJ
z9}yrA)smN)8W_<r<B+jqK<Hb-lcF8K+3B-NZTuPtJ}5P`@K7B$1Js{7+y%Cq=NrZo
z4E*&nDI?|7P!ekC)B2TNpLSJ4z@35r0RRC1{|uLRSk7M<#@kbS@A0<h`@Ze@y&IIY
zR7gpi5b+c3A+(3Gl7^@#q(MXI&4>z>gp^UFA?;M6e*Jr{bI$c#_w$_dx$hemUmqU|
zCc!Y3y>pkS1%4b!jH`U6jFLfbE}2F-NE_>Hd`q@~&FXA_l$0_)gqzj6ZjeQlvwZdi
zLkqb5`}14dO9|#F5&EA#OTs_riDcIL{)VaR)Blncaq^k-!;5dlP!glU$tP}sbeTux
zyGj+1Xwr0+i$w%K!`?^M{|4$)+QZ(~k??bQIk!7X5IJwR+}ij8IL<HA)7>JEwM|aj
zmW}zbOJtaodIpe_I-3>OE{6dZdvfGPUUUqXecH4Y=zcZDR`FIA+dX3FUG=yyzSI4J
z%m(0v`;g9#=Q0@jl`MQIgaZSXr4f>+3AhTLs(vyrg~U3!ysZ>A=&6<WH~uuovEGwQ
zZu*kAvTZt!|1b+0>K4Xq9nDd3p>FPFmN>e+Z^K`f8GT`04*8X45SE_4#>gaw&V?zu
z2z@3nwAK!5bDN=ZXNtnVb0T1p`+N0y86&(hGXiuDnWD<EHG$Du7^ge-j_lvV2zUR+
zALlzwP{Pn=^_Wixr#u_RgAXv`)2P%QJ{=QK#Kfn4R|Rmx?7sH&Ek>kl`{bc_$r#7u
z91dS)7l822<UlJD69xwuln*l)!%K`gc#g^su?5x4@6VZ#o%u{zB*X|Vd(_CO5qz+n
z=<*Cd&kROQ*24$C7{bY6$57}1FMe6>s%uPQK@fS#w%pYa2+Ulp@Zd#`2v2OlWmcT}
z#eHq5!vLA%zd7}P@Zh^MN59l-Hl$^3D?4Rt0BdYF58lj!TN}MvJf%6X^Wu>+p>6tD
zD3k7+8Q@03<<;l*X`JW^U*wo})JGd1)8*kpZYYlOGqwnF;n}E}j9i}{GTYsQFJy2-
z;B1VEU=ufD3HA}aAU#Zz(uC8lb0eQl<5fDri)P8Y0)BsW@#EN5-=v@1sB}`?#zf(R
zXt{;Y*Ymn4VzishbmzhG!>P6R*7Z;^lwF<E)djzGwDFH$JV>Oy4o}=D0CQVQw(&k4
z3>u&}c^fa5!q_OG`vp->4q=iwt%FO#j^$&|c~R{@la_W>2v)`HVH5f~5WgiHFW|_B
zv$-!vK2HkcPCYH<%@h@)*^T?9NBNLpfA4*ivnZ0T?QYpxMa7O3MR}tO{2)aCQN3S?
z;pSR*BV7a)i$DGpmADJw@{cge-W?J+=Vj5CVn;>E=g&2j+JcD5X5_P4l|)qn`?p()
zRK%Z*4!9{HgwR^ehu#mRv5PrlGdQW>5-DGukQBx~-^Y<bcCr{BaOb1`r66|;=kfbG
zBItGEBqS{5(4ip2p1e%KZtH`8t$aj5n|zVrxKSRArSxpxOjM|88N{5wDhBZme-}+x
z5}xjP)-@_c#rf=(SBZbb5zW6Z@92I7oCq?K3$j_ShcFB--zy2JxVb|26h+iH-tkvU
zpdzfxrB!E43iOg*G2yqBkTRaNC$^J{T_rx0@faBZS3s!0F!6`ZJnT_M9dl5`b+Qho
zG)m|hb7XOULodZ~Nd;edcs*X0>7atY`&CA;96FUB9*7WD!$`E;$w8_vx=4DibPn>c
zioU5_tD=q$xuC|(UR^A1)-v{>kZ@hHF6V-Z2K3J8>F{Rh;am5yqe>zQ*#5XtZiQPD
zJa_x|33}^8Z!|se*op!w-BsD7-)chg+ku>1YXjudBk9veMGW|lSbq=Ef``3JSF4#J
zo~C#eoTyep-@Pji1|PL>hWS6Ik2Xf|(&-(Sk5a}j%BEvcoZ4t<P~OSyZH()M32LS~
zD)_UvT0r8T7On&ee<+AGfygf9bd_EegqYQ5OIB#%Z+*7KhbyM=e3LG+ZI>!;h=k|f
z<<SD&IVmHjW-~kqdgUJZR24H~r^i|}H4*t=N}yDaIlS@*j(=oV!=7pvZ5dV#tdN_8
zta=GZ7k=FrtEz@dyW??<#cJT5Q^`v92Hq9_Pz#n*L)@F^4L&TYcx=7ZYs)j>$S$ph
z&S_P!mVLSH3}rAS_!T6GSs;pR*u|Ht3g6}bTw``AqPu5qTdao#F3jed_lc^a^pLuD
zT@VQ#5pvz0NfxkB?$`Q#Oa(K&2fZHtCx@bxpXF><ETEWm_?}U%GM2iM%zL?IkR>IO
zty5}&PUk2=^Ij$7I*nhM^_PHvrvtB6t_4mrn>|w;RKzD4uRB7EA}GGlarkMZ1=IwY
z+jk5ofP-U3zq3~m`fDGH_?#@j@RY}ncu9h2*KqM18$Vtj%8PLmS+7Ue(m<e29=1A1
zu76SG!AVJbT6-_>wADwryigA0QSY*rc@7Ml%}$<82V`Y#JG!OHBIk!1OYuQg6tYm=
z3e13tzt-=rElZ=ZW+(9{l?i8iMrSqFb-o*a+azvQ5*&H5Pqe^*i^oSA`&0?6RX*Kn
z$Rq(%rB_C8W9dNIvu{UUlsPy$GdT;XVqiC#aLfr=B}kdHFz1(M(0-KWus>b|GpSua
zgd6@6Zmr?_L#52%!duenJ0*ns%Rc|zxW7WMQNP<O9yWz4=b!J#;|0;>Fm{#BYlXP@
z<DHq&GZQpbk^O$@2q6BtaY8}T3h{QU?IC+96O4=)<wUdd<7u|co4<;Gi6#~HeXqlf
z;mIp!974y3*46Vo*OmSe8>B{@xIP%+QiOmGO@tS5tJ@kxqgILjfJ?lDi4mH(x6$p*
z=Z5<b=bLs;ItZ0&Jxso8i2wEoroFf3Lh;$&wy<S7ti7MNW#TqOcDHB3lHvxqzsvC=
zF*1N{i^S~H7z4!58*xsVa^eKTP-=h@BNDk93O~;1<NopH?B9tTVAIS0+UUy!b7JE`
zxBdFaa}lvVO3#7#I62+myUg(F=)Pk)qK9f_Q8~H_b|@~p|2itoiv6q|aSiLdC@2WC
zjfiDO#L;0n-z#jezY)vxYEl=fv0fUCG3?0r*$}?TgacPHpTEnG(8bJ_uN0mVc65GS
zyizvJi7$KRtL@lzF}eMo(e7Dxl&<_{3V6(g){tH%`oi^pNn8II{az02shhQ_sac;Z
z-*;2920E}0jC!||o)aYN-jhs2yx7|GrP%8|6)Z}u+k{&<A;<XkTH0Se<a?`krbJVb
z`(}?irECN4TG|JDs;%>U$Fj>SWh&mY8c0o4aY3LaGkPjm5L?gntflu+KrQ&t+%d=v
zk3BsV?azcje>l3xJcoj?WryAulDyCe>M}f}FM^C|57`4Q6r{5st;}2JyOjN1suN8V
z8ZI4URpJzIIlg}JtBMceqH$hr0pbu3FSl#`NrrsF(ayj;exy)tu<<BL!sM>puc%fs
zY~|&3t1k(_L^hvQh(Q`#-EV3)-z3BM##iMNcLb5(Cd3u_R|Xfo+;sEv$>@tX_b_fi
z2;*68&bl0OV7izTK;)6(#nAuGN=^hTwv@O=1$lTSRPy{TC8K+6G1M|v6p_83Wpy1$
z@PDzjQnQ7OKe|s?AI^!vJEGk;J3#?lr>N8;zsNY<AmDxLgajIz|4u4DQG{zM;|+fe
z3S1Hn|GTa%1)(#WRWEH&My+~|eSI7S2P*$-YWpsY+dor#t2|X8v%gY8c8mhq?BTzy
zp0Zfg=CIp%OBK~UlW(z~3a|UTsUIBWV80kEC$X%COXamm*-Sck>|0UGY`4x!e5>g)
z(ZFrNsa5kv9i+KRvKVY3q0Hn)@4H}4urzO;V@T0O!5yDFElvuU<&@8lIjM!+Y8pKY
zNA)nM(tY34O%c6z0xpurwejWSEn-)MK8COA^$KrO!W7TGPnuF>*l;pz2)$^4P^L#G
z0vwbveKD!O$B&FssVzr0br|C3!I-;BhAOC{cj*0|NQMIA3x*_KW7KLs+S$pYipEv3
zn4VK)Sjx>0Ci$8m@`{%Anb)fLVHJ6Xb0--g?>#x}>rHXHoXhO;AvJiiOe*cBC&S{)
zW41@^=C~M;c`;;M4O?}hG#~%bg7U)MYA$C29WyuAw9VA9i|6)=Ux6l`?T9>?3xFk4
zp>@em9hp6xX+pE=Fu2@SY2FTqpM7qtxl<jo#}`|inbdH<XiEjj!UEnEXFk<Pt3x;Y
zmfqlyGK}Z!RE@7%z|3-|2H#yZ9C~B%`fH&g6s}e|h5ocag*3r+R6-5Xm)M4n*pW~p
z5-&X{VTq`JN)}1(sz~4P#cKcJdOvfnSKZRF1YaP1oAqH8SnDyLH3*ghZ_|+;CS6NV
z!^7?Jf|OCf`rezSA_kihE|yVgOI$yATY}$K34To~kNz47A-gmF;mB_bl$5kihYBge
z^W?|71C@NBDPBG{^2h=ypL@oRz9*p|Y35X`3>OM7-01!qVS%0HO8b4z$>Uyt)mmjU
zD-yEiQfkyJu&-dV$HG=QOo+Kpry4P?`?jpbzdgXPU2->7NEW{z&>5UyS|fDrV~=eJ
z2NLO8`7b<`Ld}NXKjQ_Ki72k;)19Kg4OwlfX@mqKNM$!UBj<_cQN};jAq4(JcBdye
zh~cHda&0`%48iawZ}I6Za~wEnqa(FZ1n->Q_Z{8-i>R|Iv#uLA!<Beh=c9f?2zRx9
z)owpdM9*{W{HA7x1mi4@*JT2jk77Cyb$^s-@|fLfxt?FlAAM^|=I6(T-(6>8y+;Yk
z^T68hdnOp#o_C2T<wbhAJpUZy7;$fVlgSjF35L&%d|p`h@zH-$B(%fFi3Rm6?;&Sn
z7<4HV-8{YlKN4RLhn$-roHyG=hLjrNdy&NvB8&rCg7%j7hEv2p){TrstA@C%lZx3!
zHXPle$;_xYL)awlGYsBk2$rIMI`52Gu~-+PG4gSi@JpJlZ+~QfWV^++`2}Vuef3v3
zT{lncccY7`P&B|cmjr`DBTSfAEj`m!^P5nJQ7Zj&MjsmAI&NliGJ(5Aru5d!C8B*G
z%IzkdJ`^)6e+=$s#Ahe*1J@W<2w8oWf0dzn_;+mKk@;r^(C-~~D|7otB!}q{D-*iN
z<l8XSnaF^DGp{*5JXs@H-r1(7?9+voFL#XCb_NJqNJML^(!+8=qI}1=4!*gH+*sMn
zfSlQy>7o-1XsjPl4hqqMkx&0ztq%hXzH|1-{9;7DqUG4*B`RLKvcDO~Wq|4})hojX
znPF5=U41N(3XL?rt-&)4sB_+y@E;2+_L(g8pA)4*L335EW*;N&4f*k<t?ReRIfY_+
zhl0rLZ`5t{Opsx#yhBOlfYp%ARF>U3M??qNwl*+9@6EzWanuGhyC?j6I8MgZFqgU6
zOlG*u_rI{u=7y!>L*KP5GRO^va_>*GAgw=nZQovAD739jUos|R_hNMRZ~-eemd|`<
z$mav~U~SIRUTuWD{PN840~`DlI{xe*<;UX#8>rEi+IVi4z@4nmfs9vP9Tkp($noBF
z#NmM!2G4+ObDtBD;u{otx`d#v`O?tcS__v2-txr+a)C+pR@MAr5hzpq45s@v(K4vX
z;AG5$gRw>11Sw+34tObCa!M05-;!C93V0Eoc_&LkKmtwHiv}B^iB}mnJ_z08!_QWt
z{fVd)LOA=LPVs7@%~#;8&@ewv-))GBvXVh^WHpU{Sp(`#D`L;J1QEKA+Ar5GixU-&
zSz#+0$W!1q+kI9D2CrxQA2Z9Nv^qr1Rzeel*Itdy2#BEJFSm8D8wr^=ghu#xX(G2F
zK|iQk6x9U-7Xt1nAcgUyMSF`TqI5~AUcurpYtvb^P*#HWC7-fK&RY01e1OcdQ4+Tn
zOju~wmC-WcQ<TM}4bC{9H|!?sJPx~lJVR&QkK0%q@cmoYv;LyvEhSk@@Vq)N(y9hi
z4~a$I95P;XZZ-I4DhHl~%`4k>YM^a%{+&823WoD$E>G;1hfcCqY5uS#T+1iu(uJsS
zZIg|)P9<Tlw^CfRuQnWW4|S-p>)_#3M=jd}1?0NYo&W4ZhR&$I$X*#;h!<WB@t#(M
z6RY0oM}NuaG+KEt=&lFv;oO)L^2#t;sCsD`L&3^W^RuFAeJn04@YUO^pd~lfc={s+
z{~f$ed!n-L8^u%8_5`V7{}(rN5AO9`s^2MN+hBwZjT1J;>zq2eXhOZqOT}1me@ef*
z2}W%)EPS`C<FoKUPxJr<HtvEdGW2E;o<8gSQ&a;w6rL*TAqr->?-fp!nxkbQSKGW&
z17U~mi7Y)OW05B%B|-|=_e`+r5|1W+{yNdl+o}!iK8OC=KA>B7|F<FoO>AylD|~WU
z6I&c@-)Eh$fYc$<@z?U2V2%&$mz7k<(U`j}PkAgMe{hp#U#A9?N@KLOy;NYMxl_zB
z-V*BB=ia>|G!Sh6WxG(gBGC4{w7JU?)#9YLhR4;{eLA1lRN{IcI<BYfqqD*wcjcpu
za5WS=#lAA%D1*s*wFMhqt91ZSr$ro9A(B-Z|EWa`e-}-+KV`7Ow>eW5n>A&8yph%u
zQ6`9q%_jNV`z?{gplPObUJ0>ZxLfaV@*@BIo-ENqOKhGFujvw1gz(r^uD&%^q^$`J
z?{c!l2ak%$r5q9}6xp<%^U|;9i4M|^ISXVn3r(hR%0u<n=Avt<zlq9K)|mc`b*|w;
z;eRQz_@k&dny))fm=AnoHI%nN#_qFIUlpXWcVC^@*AwrE8=i&f3bg=<+xDB@b_rl@
zrfQfL)tvNr>fsYh;FMWPz>C|WNR)m+jrZtop4swI*Qb=gV`87&9<ne*|CGF7(*D%^
z*WpQs^b2!@T->9}GAIDn2hM`m_Y5^#T?wjloHD~P@=yYA3m+=W1VTIGzc=4f*v&O2
zVTMz|fuFY&^B|a-uvZzw%@Jo!3y(XRBCVw5eVfz<SbW~u<3Iboc_i_oCnd=QfwxwJ
zo#xpPuzb=*pzm9=?-!D-RI4%MQ$xy+$+Cba`Don{wV`H_ddHU%oW^*4GUlmp0VDLU
zmujEn|Jq!ZHZ!`s%?QPADUb64=<!3`jNx)nf3x7zJj2Mcb^m58mb!mvmFTv6&#S!s
zU30Df_)X8h2DqD3Xr>XlLJWyC=P-(NHy<ps?D5)RfX#<Dy_Y<_MA*G$+s$_Nd2_tr
zzW}RxeTX|teb}+IK)6#TT+=!4H?Qm^rS(YYug}TnOSx@xM6SOs=P392=BbqozmKQ%
zP+oVt(RFHu@Jl&z!a$*t@bgz%R+-gBw9QqvR-b9&!QHDLK8LmtFLwAaocGtoDT-V1
zZ}mySq3@c-ntTT#X%)72>4OfO9;!Ys;F%zx80h2a@P@eJHs3*Z(Lu%=adM~kII(9+
zH1Fr!J7QO8v5-tB71t=^lD>Rn1l^lE+8@&UiOmNy>8?9b@w>|Hc9HlfVak5d@eJ=*
zf^AFmlgb_n8pj>)7#tlT8um#Z+Uqq$T=uqWmG-2-bdR%}tl$WtWO3Bcr{+6xxpe>j
z!C^AEJb!*ZwfKXWb{}H15E>y2)h>J=I!eajq7u<Nq9erXc=JP2>0?Cy=~^W|=JmYO
z@I!TO{eG$@4_u@shyuy))%8?uOn*6GS->(%oDZUjC3Q{`^`S2w2l;BDmWyZi;OkLh
z!CO${<J)P1cK`C6#05>*3Xylb>KG&3c6lGZuydBs7OlJ9)TM#w{Db~x|JL7w{GqJg
z<vC(9pY4)9p9aEj8?p8HPY{oHYxq_*E)bU@nSA1RsDmZ=M#?1JBoP(*?8vEtMS}F;
zp={1IHGDeR{i@>K6mfW@Om4M&nQ%Nb<ab~}6=Bh3Z-32A69SFhcS+w@2&1VN5&{mY
z=o}5PWR;vH+yl(@e7CL=Jd90qxfLq#2r@5e4V)vijBQW1N6}$l*voEVZWSz&8yl;8
z=80D|+1Z(s^yqSAe^3*qjPH(&S8IZP6ZK6F#DAw4p}JZsSv;Zy51M~~q{<R8Z<}|(
z(1IBg#me!@yOmIIM0i`3&>!NBYZmj83M(=#jlLK4D<ZH+O0PukFA@H5&|4nt$PyE(
zjrLJQvP0LG8|kY=(=U^j<TOqMF8)h%_@w~n)yZp1S#&VmPgMEvazpi}@aog`{FlnT
zT$lfc9-mFaNTmI|u$`>%ZkAI(cvZ~7Jt>TM;UV&}V3H3qqsr5E9VFQ4`K>-9m@&5$
zJK3EpfJwRc$ExE=AdyF&hRLy_mm%C;GFS-1GXBXYtw=Due$($1l^r>`h3P8?L~#8{
z=-pBw5|*Q0rkjUxLX_cS6<xj<zMT}x^<I|87oTTwX7gNN&yA;VT$4cYri#_zne}zv
zaX-}^yf|mN(=Q`W8XU|VA9(3W2)uLprD-o8_O@+EZLgPwVd!{~ss;%QwTvG>9~ZzF
zyYJtdkVnUky}LJskuddi>0p|<5Oy*3N<SJUp>3eG?fwV}t$dq)<!OoFY`}wH%_>FY
zJ-wz;by5L6EK`Xxo5e72C|1Gbf--Vk#3Hp_6p?Y6S++h)0vQ97eIvQ5xN@S;TgFof
zBg0qAofxIz8xrr9epek?x9zpG*Zl<_Woh!)R$08SUVZEPO%vuNeFmk3D(1^hq^;D;
zA!AiuHIAE%f|zy%W-WEhg#OYqrIIko9$-77M!{iiS%(u*>m0RQ{IT*-0UeW+Mkj)b
z7Y`P#g+$4yTV)(o+@S=;L62e;OC40D{`fF{g96smZK5no%J88(HaDTH3xBt`M9(8S
znEmNTFMLTAruwpRzTb2)aQHv9p%6U;zdKzzL{^8y)ty$Vd-T9yBl$a_$N&#q`Fh3g
zYC!&e{#9DB9uiH8`nea4uzEXi<2#}CcPx4C_h9n+`8ScqwLzvx57gTxZ>tU3+kYme
ze0s?AjjG`uGRL>Q6B~o2$*6CBx7kWh7vVK}M`Fu>zSL|RkM)1$TG#o=mIW$U`n$p}
zzOca0^EO?Z3f6UDR@HstLBTU)!osA(5*`nFTC8%(P%7c*XBp8#%j>MX`fFD3cpjm6
zay`!vwvn#}RH)(Qg3VP1J8Nv?A<5`1Ya>@V<>!ACCD2m0`jj<VgR|yaHA9aUv?6Uw
zdhW>K<PG~}nOSRKTunS@-B&7{b||`5Ar9TGwl9i*TjQb&5=^eCgL3thePs?mPKYlS
zIlr<75oD@wU#E)O&u<yLy~2Vn3)v)UtTmDj4U9FFD&xATRC$2FJTZM;ZjhVb8dO8W
zXUr!QQRQJM60cd^d~>IC#<6TGH1vl&x7tpEhrmL+uH9_2AJgpa4NO+>t)#Z(QsiJy
zSuxZ2yw)7JU6-bI*b>M2hm$*uq`@7(F(O)$nPy{m_D<tR3+NxQ=8Go8F;gHlae9o6
z_FN^*ccYC3#(Rg9dE<nEg4O`1vz)a2C3aVh20)y`y6N~DKiZeyU#N2BqTN61{O+R`
zFumP;t~{9sVh_vNyLNNaj@fK-=5{CWd&^T}=K^+QSJ#|m8{(#U%t=bU_BKbb7)9>3
zF%verWq00V<e{Cm4s56oHG{R5{QkkZRl?z|W8;}`+_drNz;h}WOd<T{o{iG<0`YS1
zjSTn8+_Vp`JLT=3n82mDw#rU=f{+#3X;?sT(?+Y0l<BM(gQG!mb~oJsF@ED{N5)q!
zTE*LHZaOn#oN*m;-SD!MXryOyYf9y!Wq+<@=ua}j?f5^*3_p9CC2t?2dtt*xvtVC*
z#M*BNAOFI&Z8G1Ro9~ZSuSs*!_SLn$|E6b%Dn7}2Cfi@lj2|NyJ_>Qs0*>7~FmllV
zhqoMDIMP1bd^!1->s~S!?Y2St;59k}H1{2xNj~?x`9k4@;>{ymG}6C;g_aO~jENgu
zF6aN#%qM<A`bR$(O?{*`XYIQlI9L=HSls?Kzl`1_{N^w>ZRfGiZJIuMNMBp=*{(xJ
z8_SF*-cWdGfAWe%v<G!@&`K-v`AvFSog+{F23}rT%?Ll|@4dPRI`xIwNsN)!lo-Fs
zzmS*a(sypxsd*jTaIB$*oM58)%-%j8Yt2XdL}m&dPt?Jg*&|^XW2X6KRx&L!@Y8rX
zIz4S<bg+^fw-U3Bl@_0P^+5DTep*6FoJ8A0D(pKH)3V#yXuHMIcR%S6ph;Qg9KG#F
zMSi1NMWH<h?JH?{`qFzrn$^bTIm`7taUf$pApHv`Z7To!j{a34+6Q61J>xVA3LP4g
zxRSVN4@y<l4qA%Pim8tiM58Eho)P<Awuy(Pzw_?6!8K7Dr<CW&4zu+<;k&n_?+h<Z
z$2l}bQeK=UF<(k-VWYs^rP!|~gO8?l>cW8^%@Q<=+Ba!;2FO_W8sg`BnV%LABzD9o
zMv8Wk+`D&o6B&=9bj)3v1ZdSMA9h4}$k2jI@>HEm$?$VDP41Z#q}5^TNdHY)n%Yb4
z{DRA5jNJMjz+)gx^N<<XNZgmB9U3ZQJ5fYN>DNF<`tu?*_wM&WpWe&U+6o*=+iS=;
zZ+7%*5W5(SC$O9GF{1+Qe*gdg|Njh^cRbZ^6vyqo_l#@1uIpZV-*a!0gc4CInUS3|
z6(tfylKd*8l8h1&nfX4-itJJ(lD%bQ>*xRH^}Nn`J<mDs&%50%-TvWM639w_OD|25
zKw~!?E6y4#q8xwYqJ9oCT;tsvxveXO#JmD$zlJNJ1IL}df3YKjMd-E4&N*qsd7IOf
ztyvlEIey@+MiCj5AGU~UR?DF1YtqK%5~^rQhean%Srh1P<{l-t%cACQz}?`DM<mhe
z<<}*eaN0vxcl;9$iAT;KfAK~Q?Xo{QU3x+bb|oJA9nvI+B;T!lZJQ(@_U^-93T3t7
zW*C!4c$++0Up`Of<RzlBiyQY@|7pX}(!s9+-3o}zc7%&dNCU}@+6$jv)q#=a#>u2!
zMWi~GME_<^139!u-A?AzgP`(=u)6O`XgsNgkiVaVG_(qriMskQkWnr7X{VoXSu{+$
zMncOGPaa2y7{Cwx@O#vJ6{IrwdY~YIga(;y8<J`aLB4y7_xxp5G@(^x`Sl_RiI%gL
zOp6#p?LcGT9XuXoH$ARz&><ng$i55HekMS#nQGiohDULF2})<~XrTD?T}6zQrr`W8
zf|pZP4R!5Td6#gQh>rO@2vAz3z!lMX$IfGFNc~V;)alOzWc}gDr~Ehoa|6$&VQ)1g
zUhJ-!vyMl<{=1u^#Y2UFz=YR6d(_Yu$cZnSQ9-P+(O#;Tsi1P7cUIvK9u3Pb*VmUQ
zp{oZzr_;Al;Z0qq{Z)TFsyY?=q1i(Lv3=j1qjJ(<>$Hu;`S+?w_G7fq2A3RC*v1DY
z5^11fsC@tOhzi=jRp6i&E`yG)1>eXwpn-{M$$-d|GGY?$W{DS-M3y?P6~;T~D`@jq
zpL|h5{YkzfH5($RxjND10S^s+^A3OS%uz%s+4N#VCW5F%_4L{6KdDeO&EOptpnxp9
zbai?=d6BT3F5gBP6^@DbGiwm!QKrTRd;lv4+Pi)#<nJLWoDnBn{4<6_@(O*p0&!+!
zSF2sC_YWZY-djh-Y+0oDHbU?!Jw4L>8NR6d0^r+bsZnj;E=0Q!;q33af&IQ+I>EOW
zKuK1j`g?>FYFhT5uf+ewPVMWEVr`+oCHFetAae;+@PwPzue*TJX$)r$u~R@hYK~({
zO$=Q#-L7*jpT+bDwa<IZO+nH4YTh1Q5!7ZlJh*p!67!DoCWJ?sz(Cp5(q1ni6yDG=
zdZAz(b7N2-t<)Pskl+2&#h3ufyqiBn*F1)aUppVd&SeZNiKWgLDf~$9NU6@;_82B?
zOj*}EYy@J`&Td7`yvR+*EBcY>1QuI5D&LV|2ot`-MTYL&Xz%z-jtdi$*qqm|3)@Qu
zfZ66LyV5w3uPotJ&cPWhr}&a?`+fs(F8JIU<;jlHUB;f{#pbcOS4FDk+4|s&PLb*w
zSrOX+kI`z`A52MapNa#kK6v*owaIz2phy8-Mbn5yOh);0?YyrZXeyd1zM?RrwiBlk
z#{HKur>Nv)rmwmX&s-xNzn=+xeB*{&yRd?7#1>t?M$-iqYOk)=Ek>j)a^Sf^`WhDQ
z5hH%MSO=~?N;j}rU_eR3eoHF@8(6iv%<MV54$$hu?=;_JKpE2Uj?E_9SQq2Xt)5J6
zm^DvW5!lUug5$@13y;&GZz7LfugGh|<)7K9Z3+y?7U#g5|B@c18m*(_Sy~XD`uGzs
zo&ntss{Nb5!HC>1+BSr%Yk~T#9f@MgfSMMEbG*Ztko|T3yty(>s8syDqWFjbC4#z5
zA{z@@5k1;jWuXZ<PH7Bdbd1R2{h7OkuUJuP$b;DJJ~I4ynEGZbni2i+`*--I4?DW<
zP2B1_M~0H>vxkg`Ovs$?<9Lb%C(0wQn0X44Ve_j`K<y$EN*&Mc>$BiSX~b1*xP$~Q
zcOOk~_b?;ZG0QzG0lbJe%qT741PPp?xkP&VSr9|b9onG*J|w8;nP1F70!xmXWE~bZ
zR5A38aadXaEf_sxJsPS3{9fd>vj^Ex0<M-r`<x(pLhUPRo*@E$`c;P-#(~;5I!0{A
zgwW;OnxcAtBE-uw32NGNq1BY1F^A5Jp!Y6g{^6VIpi=yZmc-A42K634HCGTr`9JEw
zEkzx)e_!Ldx5kTxf4exTFN&iM?cQy1D|N6?l6Bb2%8%Bw`dfbwOClSmi!=Z6sRMhK
zKQ3BT0Ns|m)y}pdjeeOwS&^I~fPG~2`xXyDbkEP~Vu++Hn$`_1H0~#WZ3n~sV--Tk
z=iv+0Y%3i4)s`4LJ52!DLrlL;sEMEeca<glJvpS@_;7cOggUfJ1nT`P6GgvI3imu3
zmq%B>m7ZwwQ3vBc*4MM$#ZhZBjq|UqBI@=n`PezA4ssF-NSh#ubSlFAt~D#6TH$PW
z=}01Y+BGdj2}q-ZbZfg~4ym9n(a>IB2Mw^(w=dcfmO*}gg_n(oRFTu2vcXOw3G!O3
zh>sr2qIX%!^nMrBP?AEck6jxHl4g02|9po-HT$}|j&rJ`&8wb&H{!`~rqS78<EI=d
za4U96yH7+%XXSfK12tjuSzEUcw*tz!z3F&?k%a1HJD>LjYk}g2S(Q$zBGREVm(R*0
zp($Z=!NG^xK=vKoo;$CE1UCcrC76<t+-7bo$Dj@bXS%;h$W}%!9n|rjLNanOyQn0-
zPY=TP{8x6bMFrK}T-BW4CZiwE{pD6Z>w{jHU(wp2DjLflwY;@U6A9ANM<Y%d0$;7|
z1=XK;#4jY3Wy+z6EF~W83gtG2-BX2fs-<e^&!vMOE#H$-ULng?MyUyKq^O(oc@t3b
zkT!#+4jI)F%otUVQb0d4e)z^X0dX3O8k`6wq0&cH?{b3y7+RX*D4Oc%Li)D$@H`QP
zauj@et4sxhyUPBLK^+}>hLZDA3FysbTZ^7LDoj5rDE`Z*j;e>>_or>BA}YgDwYdci
z79wq{IGz*G$73q@BNdgA?|M<>qgOO&X*X+FSye-7nfrd9)>c4$wS4@zSsHx(@pfKS
zR1K9TbA3Kc!y&~dOV_4(cLVDL-F0RrJi-w!v3Rvgp`w7qGnoRr;au)!fq#PvI?0<h
zus=W)8Fq=BG+LuUBiXlJ$442J;=|TfBLvVF_Bpqx1{y5Cl4^`!Rz%f;9}^Eyxe!+(
zA5YVD8psziC0-9!K=rtzqXy5J&?$%iZnzL=;J(mNcWpuriO9{EcAwb9_Q$oxxinM3
znWfoZ%ngU|j$b!EzWsyUF>EvTccVgFlT*~iIvG?t#zWjP{f({c-*SGq1mG~#c-DPT
z3MH{|mn1uX#I}TW3Y{VW2#Z_MI9UmFO8(cMY~eb}qrL}XDS`ma{yleJMvJ0rHK!(r
z<a;OuAO0N)+e-nWKfmgVq%dmN7ylZ6V~`?vjXUs~uPMAgy_&XXKmc`BaP{M(hbeD4
zZOIWyCcx*kJnPoUhpa6;G(EOQD2`rT?t4BOL&@~{-r)&ubkSV3*w1v7k}%FfQ(H9x
zdq?ZbF1I<5?2pW(#k(VvyAOZI*=iX<;A^=9N26F#ep1ZtDve=^qQ09|ZipcW%yvE8
z?qotQ@%7y)2YyplQ}=ygtug@Skz&$t00XLsyLvBI^cUr4&t*|9b^|Ejwf<ybM~B=7
z<g&MIeo)d{Or<A}=|jPjg6@>1P0TW8;@~K;o6@JakU05P5B#{S8qBNKu;fo3;TIR%
zDf`^R^_Tec0P{Zf^}xbkENk{+-JE{|rPqM;sVP_&S}huH(BE0YHrB20ny6P$?(@C<
zsoSFi^<r{$cHs+{m`->`aK(QVYsoqV7Bd}q?wR0B_i-NM(q^z0PJD%Fh%V@GzSV{!
zyT@Khrp;mkhbEL4E+H&y;;_23k~VnYWbj$q)7bBncSk;c{)EkIR%nQ(X@S+~dDSV?
zNo<@G*SQ|tfvx^xnEEEF1!?@{$_+bt;x1$JAWVG4#$8)>QIj>{75*Rbzbj+d{YrHy
z9ot?^U-G4vo|q=^o?Y`&NFBxUR!<+HFYd>Br5c8wrjcRvWAm3dmQm~^pC5N`+#t3s
zUb1{ji46B%te+v5j9^8<VGnP88p3=uE7(GcNI=0Cy?Kx^f~`w>SC$KmVtCU>XNsvL
zNS}F2XWuk}nP|N^>l`?ak)jFKgd7d%R%oAPQXR#LTZ{MRj!a^Aj1HaU?;^rmc{d$m
z)hL!*Dof_SGJ|E2&Cxm|5x&hjZ)rx1VJZ8j?DC}MvH7|so>oJ3FjTERZ+>|ki}e^4
zuuA-cakTZ!hFl;(#0!O=E}0Y9(4UsJ7jlbO@}fV}&vG?518MWR^ivpX=!HFn9ZT3`
zhRdy0dNr6l+5Jl^aT>GxuZutT`CqI=EOw&$03PIw1~SeaoyFYsm3xHJRxz=6<H_pJ
zRiSJ>q;rHYkJW97+kW}5j@2GbShd(xfzCwY__6(eFrzdtX*G#0jG}AuRQi|-nAiLq
z(vMxhyjuR9YRUPB9Y4Ikss>YrPy=tpzf+6Yvx@jz=MCx6l}g=S2fQ-GvuD}`oL$B~
z@>Uc*|G<Fg_3yB8r6_?&P!Y#(`4ucU>}U9+ASR?A?CC2jpad_%kNIxVtzn0XC%YUh
zSkOd-j??H}MeteW4(#XIz`E9PUD`Hm=w?d?u0co<Jf)+0BoA$2rHjx0PT$;_zZb@_
zd!H!)da`uybK5^mD``U{eT54}Fy)$Y>ngxns?nVWb9ywo8qnPKf*0kxnD~x#$-|qi
zV#mft2K02?=4ttUe)Rgu5BMA^5BT%vzU({0gsOQw)q^GkP`1vT+h3wQR8z*-*LSlZ
z)r{=MQw2iEtGDy%k6AhJc=V$Giy0d_A^T2O_L&H}=(Lr)`@I}Inepe7zsP|i9RIEu
zd=Nv~Y`9AMR5|!;o2z~PHy5f+HP1aFB8jXT+MP4w<=}4MtLUe<cz1Fs^FhvM(#Xrs
zN7M2@Iaqsr;!>9$KT`UT=G>tvi^9jGJeJDk;N;l8Cx=@F(1hsSPgmaJPz1pVw$|mq
zkGX!{Ggb(_zh>i`WG9dELk}chJ1Gx>uDfud0V0STdr&`7P!ZkYnV$-nkq0kMrS7gP
zVo1*;&qI1q3C%8x9Zh+q0HxODhpkE_knHmVH_PW$kZ^_dN$i;-JUyr&rYs|khWc0%
z-PzSpMjk;e;JXssJ9mk>zE}p~=UsnD>8qpE<;uX>BPzgggnB5~2!|e)Y-xI((?Ej4
zC8cu&Jgi!I9Kjdu@Pb$N-|-(Lbj7PufybEuKI|V(q#7yg`0(hhe}BnnCc1`SbeRYN
z&UF7gzbK+B<!ovHF=?UV`SHT*n<SX@KiPcjf->??RS6MW(?Tdkrn2LmCTLB0Z%0Y1
zB1eC-Cy5Q(=(^mVeT=!<fYhjg>+kXCaggc0m##V}^U@s8$u?a`XjfA1wI-kearffj
zG95H<;s%ejoB=GKyjgSusiSq5;;6FsI_L(6pg?Pq5m0b-9_(xyXftWZ{k5kK+U}pj
z8H$)fl8t=t8V3mlw0Gpz=V+tz_0zWJEda{h?szH&kdV`Hw$E3iv=E)QW~aq@D%fyk
zyLo4m&<jyMgBW^Ev{KHs&3%go*HwA{;fhEovS7Yb8BaoDj_mjJgLlJhNQGs^Z4#<+
z@_iSfL_kk$Gd&X2%;3YqL#a)zoxJtqUv=|KWpu^dz}_<742Yti_#B)xkjTr1GA<E$
z6zf&?DRtEh_-=B>Jy}slzh~5yM|Gspya5NHh-(j&RJdfsSP@WFT&rj1Cm~d6LA$^_
zZwBJRh7UEp@u(gC4)h%4KsDp_-A7-VL7i~KuVyC|G-WaS=H&DmcIRlU$z3xuSg^5Z
zKBldN8WrYZf1GZ@)UWh(Cp7Ga5YmQK6{7;m5Q=bUkD8@K2mXkRGTIGm<F@P*UvY@b
zYrA)vX`6B;X2``hn+6UBtaL`cGRP=o_lKheOi*Y2HOP&R2JQK54nYo*XjHm|7&goX
zB`N1Vy}L{WVU4z)j7y?u;DTpJ!7omTKgZC|G6A4c_a<h%PY|VZB#&7A;)bo|6n^>>
zJHD*-iMcb94{Z{qi<~5Qq3h?IDSrV4rlnXjL`ON0QV!1@UW^wc3#M=O7n(wzc<Jo2
zH8WD*XKCQS!V4jqd4rZ8OrVJOUVO4K9pd3|z7;XT3xtE;2C)HS$XMI5%00Y-T{U1f
z;(Eag3+?;lz1WRmAda0SkTQ#D_VY?mt$3mLF1hQVsS#BBZanqo8NgVAIe2rXdEi&E
z^1_{~hVYP2DM6;O2qUtL%nsk@fqWL;BE$L}|Go6X{q1BYg&6!FN3azSC?p>0Ob|5y
z#Xi~EMDAgVg8TM8+AbcznN;o>4AO`8mO7j5|7Ixr4U8SEd3oToU`gMj4n4?t=xZG#
zy-1PTa&V+q-~p1#Ev?-KdT`DDMC>i@70NMZTeqx}JRl-pRuh)33#BfbA7=8_DY$xi
z^SoLfSfMvcW0KMZuz9yPgmatnEZjtJ%AOZmFfN;C$vWU`8PwF3LI*id0&J()_+U{L
zjcbYOKrhYx*+m%!sMG4pu?yn^u2_w@yfkgto5W_)oy-U^nwCw*ocxgelHGw5zcas?
zIL~xeW~fhN`l<PbALP9@Do<8vfrc7~qu>P=s7SRAY4jI>cWUvc8|}5A_0zb9&?GAa
zMlA8CnhAp1hp9_v7d65DPV2miCp*x|vo1L42*K2=lafy!YQj0G%UN;L93av5$h-!G
z;qe<3_t;Dm&U`brF^=Q{7v0|J|GY%NtxzwdVTBC2_No%g8a!}VdT(^WOHoiRj}A&H
zBEw6!^)j<XUTD7Zz4<$bIMj5-Y&_fXXkI@jT<tg?JW4)R)^ke&zTUg+6GkP2$!=@%
z$|ye=aIu=5RFne6E9W?7MaZC1Yw)6CSpZbWd%325NrRvH1<j_vBzUUdbuL&$2vUuY
z`&CuSKu&v~499O0H2Dn#xmgOs>ye-M-d<Ul&0ck>?IA%Ug;0`}C<5=YJ{F0O;o#Hd
zs4E%+BpBFNe?oO$6xL+!eOaZK2mL1$-)D;?I6s`g^uS#lMh$;0c;OWwtekKxPK*pb
z2f{w@o{<1%g?_6JXGOSsHdrwH02!v@n9K2TQsCFI=gUT_5(q?dYY09j!!Mr|sG;qG
z*SG8rPY)`?{F#`2Q)^^!Z79eJW|0Nj&CQH@RaMX}JEfKuqzV2T7o_@^WC58{+zSKo
za42sNU+O<in01?4v6#X^eAOi)daVZWZ<HM+bF@I7ewm?fOb(WLl7`0n2rz5T;4<l>
z4VjA?m0IKS5G2E|&atcxvz_KrmKHjYWU~L5{e%LXD=(a5pCQ7T491oB6kQNm3p@6F
zOc5~4eRcws8gQh?MeD}_J!tjI5Sr*$0{iser!L`1peZ-@Nb<Zss8H(;ooG^q4Z#o1
zc1K7cUO-{4$Txs*N?9&7nJSQZOZ8%e8wrFbzvn((GK9Fi_vSI)s*uO)>1Miz1d^`N
z)H76L2u`kw7UIK$jzp=)%!UTAn^teXjx&MHhL%T55Ad)>zx$<&s0PI1HYQj)Ou_qs
z_^k0V9y;14ozwf(!DRXzrzbtYulRwvuc~TL{VP%YoFf73M+$89;sCzy)k|n1sX_9s
zjLPS?@lX`g&Md-4h3=;;d!pIYKtE1t&gqs4)VN+gT^B%w4&^yhhC)2}a#3tfo=}1f
z_ClSRYAU23R^e+<!$ZVOs@$lg0*HOTgqf^Rp)-K^dMH#C=40B9*?q-9`Vi&RWl<VD
zYqa=L_Cf_J@=4RI+A_fA$U}cxmIgKDNyBgRmBIPp<W};$1gtYPguN7`fs3mR-TKbI
zak>=S6t*G)M4i`~k&9HgFFM`Jb3qXp0!6sr9TkLV#mU@^4^+@vqH>4tR)B2xwd3<R
zKKK{c=G=dS3aoVJLLacnLrx^|0Qn^ca9?4{WizA#zwBWV+0QsQ(a3+wZj>2ttYX=<
zV*qgkjqyGAWnr?|*F12Z9;{#X@Abb6U>zuE-dDQ|_GOrO@SNYG1RQQnVATR(iVk|}
zcUcN7XJn=pPOnmO7_=9z=1{=Rq&#oJN&>EQut<g^FHxfWLu@<8O(9=H&p!slAPwCh
zcz^jrX*qFWR7%wp<Xl_UiAO}hJi||M@5UU(V@v4XgpUa<-P4G9@IVOYqOB4>_sviQ
zJ{4gO1v?y}3E70L3BclutXtQ(W+*SO#{W=TF@nDG`%?Wk_`&$8S+}6=4CV14m-`IO
z2zFmezQ(4_2c;5)8={wHDW9#YSZ5OrK}0xq;Wa-GxOePj3{;<|I4ZKgIzDCq{5xp*
zkDd!eUp2g9_W46$W4-2m01Tk&mw(s^Z4RJ~cJ94Cyg<oko@f7@rVo1>=gkjhu|cAa
z-FeBxCCX$8i+$@qJ&-f&iOsTOg@tROlT|){DLT8}Kejrh2Unt$+MejMK&n9IgDme=
z%A#>1qfv)0l=1HGPqSr)*tkRSvbWYL28>=Uai9yy-A$+UQ<y;RT;&r|!zLv<%4XEC
zSO>g<Zr<20zyu-RGrf;0{-cC#^syNcbYO7Mzni|85&Wyvb`^He!HjiOTx^au{Iy94
z{Be~L5*_bi_i+s1UHXL|uc{5(b6RbM{)`YU8xm4}gAq!v{^XI#*MjE1)dS_%8NshT
z`0UIY6YPHZ_DqPL7L?okafmEqgyjE@OWNOLfp}dVGow09sCzLzv&qK<W)hEGUDVhh
zaAen++m4!0eMz+5JC+Ib<%CZ*Pq9PFZ->0dSuzNH<}vnAV20z#6KCU^IN=6|Q1pRV
zGT`3(I{fNq1|H9#v)`MzA)&SB-7YmU%!z%TlBr;U%GNdznCAs6)A0wS4idx%55yF|
zV};;V`;@U={Gf61#!&ke62ztz2#0=U0|l@0_K{-(&?hL~<U}NaS-lhILs1TBzA5(p
z&l^EtQ{s0$|5*d<{v08l4daBB;pumbvcgalTv9x`PXm7GTsvRH$qldjpR$X-5&<iD
z?KgVeMEE_G_D-vY2ZSB8{>j*jL3(j$Oj|G!B0ofVMI7XVuJ7!L+fou>dx9zMAdU$C
zjE^?uIq<_vCDQ>vRw<BA3lD!fqz*b)^3PC01b}dgc3@m+7hKJHAT?j94#yo!);(Sd
zf|-_|qNThn^m(LPe8^MZ3D8;*)O8`y^e#_}wZXx+T~-bYW$NJgp2#}lAp*6E;`_*V
z<lr=4PH5TA{p8ja6T>M{Af7tv*ziLhOkcPgydn{y#y3&rPn<aXeK0mbHC6;mj_;gR
z&xw%xfwRTKS`x0r8`1rEr38nSCP1C40eg(NLqk=iVNKNj;E1vcu>9Ckz*tBy<=bL;
z9VY|-PO`eE=BdJO%8j=#ZjylUBmV66qn&;7)bRGAwi<NFX{5x<k>OFdMlPiQ2d{-Q
zH@qqcu(HYRoY+SOTBr@NtaZodif<q4(<VaeOyKRH9e*jyd2T(kEDzK-2ln24yz@?c
zrC%HhwZL9$38mo_L5orO&1N78M4oFA(pt1Z;-=nQzO@p3r%R7h-|?b~*FDphICP<D
z(86E-oHA744*QP!kfB|)Wc{tD9*ooZg~}wVfLU{5C`Sny+&_7n9{-^afvXK3bm^)v
z_aaERu4|{hpoiKio`z6yiDM=9-p>A4SUN3LLx%l5OySQqjX+&ME?CP`4Kf2?h$LSm
z1O0-(Qd6=Cl-;W&h4B->vR3|1?+OY2oOU)}Q=vda)0j}mT>?-A+ow$^Bp|6iY)rKS
zkhw{b#`O?j>Z?kgVkQx;cAF$OFi;^#&H5_uBmo#apL(41C%}NLdP+zt6-wSHdlz5?
zFb>*i(w<g@s)9&MHYpk~TNIs3JxYLu_yxW9y2>Co=4PrFMgwavuE>&dHLx%(!tL`^
z03XMLQ)V?Za7v{mF%09O`unu7V*(BiO9XEVj?kboZ*9!CUljthXT7Lt((qs<yPkE5
z2Ku@Bg;sA=091XWxxK{TjIirg^;a6)E5sk1cU6Yi(-T`lse<q|wmke@4h{GtoMJdO
z72$9|AzjQf9uRL-$QkycLG$&wGX~KLfPx!N`N*=uGM}dO@f~jBY6Is}IORcy)Ri7t
zK?j!=p1IRiQi0`h-0z5;`qX;6>q6T9Qs`a9MQk0Ykhy))(^N_p&KRnVTydGE9KXQ&
zZT~dD?IDU2hqp8geWrWRllYU;KK7^DH5{N|@Ed8UR03=|c;9_1uc7>1;c^e<2jH1m
zI=zc1wv!X7XQlYdu|wly54kKT@F&B#VYF2kVje^h_Y|~a->jdP@&uWJ>8>5V@AP@&
z<DPvq?QhuaR4>aDsV0zK<`kdxkRRfSwOIJwUhMGFmBBA9#_;sJ$$)kgFH~P$O1yjO
z2R8YlihrKT7>qVLl!;ngFqk^)`g(6KCZ2KY>JZfk=w3`j{L*6wS`4>l*voGiPDKe<
z9BBwyyE`AQ#j`+pSa{s)KV4YV^~S>%Ee7yE00030{|uLTJk)&<$KAV*a!2lK*~Qvj
zR<8JsE0mHWMTrg+B_z6tN-FoALPDuTg+z|uS0v=oLC$hTBILg1>EHQd<~8%0na}49
zds1J7X>kCb=!!5$cMDE-^R^C<)PvWv(HG?9*nlu*plJHK4mViW=w>^k3-Mhun6nKF
zIH|4v=U85h*N;h_sCcgfrD20Y$Ai|f^TXzMDjIKKV)93EcajcRt{eM4#aA$7+nLwW
zSC07|zq6}3VjB=l)E^u^y@V;llK9PA4cPUCQ0uBmZJ4e5^KmI~0sHS*-O*mbFIe``
z&-T2|+Q6s4tMjCF4x2raUC-0qfmwC`v5RhGLW`bwlKZ7uOrm9GC@cLtrqbGfLdK8@
z*W8{M{PCE<+}c#jYzhakSjOr2j1nz?orZT?W2Z3zPyd9)*dgroRczM;O$$Q5T+cZ%
zHH8gdc_!l#G=goC%rcoR)C59A%jx=SQ`ppl10|17j$z&xhKP3<no#^vXsz0O>fbDs
zT4PU5U^YUl-|Am8KsK_L^Q-0*cKy$zQVY{5Oi)WN;<PaXR4&!HYFbWVdy)ma9QvlQ
z?g$&J%Pn*$x+fH#`7i$*%09@5nZ?Q`ss@J-)8X3Y)A!H)n8My^cYOG6Kac%<Ea!j?
z)8NB_OvfybX{_c|)@T}Y5#v`K3p5p`fh=oSS`^<5R&k+yc7(Z%?N|=J)MB9lfA4&`
zs`7OPQzsk9CpfKQL@A{!->*`E=eGEnPBe?vTr3-YnYWG&ABaDEu1+0<D#?3-Kh0sk
z#C-N25@G?j6tTe^K6QBDNY^~Uxq#(=%Ng44%?h%IEofl})nG*>dduM>i&zkoCI0RJ
z8x+SKi)6f11rz$0&nZ8bu-dvB%g^UIK!i8<^2jDtXw9X_R;R9DfA!d&gfO|F!cq0$
zPd^I$vDeI*4_d>5W1UkX#ED?)QRN=~oeV<W$@Lw#|6*kgkB>`Jc)$bi@YAv-14(Ks
z&CrVl?rZGPc<aRn#1ndUm;O_M-7DqJ70*~<?4D`YuEEV9nbIZ1ZLb33$pX>-{OoYe
zv^vJWNdTmp1Jz#)Dnkyj!hxC00a>B%S~<;x;KA<uZT`W^Fj&)7x5bzXEGSVT@A`$I
z>ZfSjZ6#%RtIDr<ZVM6I`vTodb40;GtU}Gdiv(|2|GbzK=K(^v$i_mf7|7Us)tk;B
z!H;&5#W8C>*fXIX_3ZIh;E~;`L<t~)n@WGjc*$ny?tqFvQ<4z(<5E-3VG@*VT-)cB
zF96N{0=$LZGQek;7;?;w1Q{p0y^JM=Ab4Z5I*OKqhaE6Jdzl2Yk1PpV&xGOU*S(o~
ztO_v8T$R66MuM}pxlJeBM8UnGX`wex5gdARk2Z=aL(J=D-4Q)8IP1{CTC|-632D>M
z+_RK{vvRw?kN#GuyG3yAV^@Kf7E8m42UMVfebw6bm?RvCzZ-FGhzu{ZqiptCkRgK>
zDro#l8Z36EHE!xr1^Mi{Q~CiEP}JQ*<r0^JyI0H4pBPk!z0W0@Jx5eQDqvEAd{Q3#
zRnHz}nbm-Lmb2NSPyX$d)5-bhW(8PtH~+CGj1Ip7KQU=F8emKg8>+*U;CxTqsnswB
zT=hKg-sT=1cz9iRQE(F6^0;(f@2n;)(s}rp1Wnl8!~ML-Tm=Rl&fnUyOA8*)^E(<n
z)Pg4(!sd<5WPn3oEY$yMf&79dzg~bg6z>prq*<#%li*6DXebk?WLI8(UmZxCu6f7v
zMh$W=F5}vDOc+?^dZ-bv2cDjq_a%9$@byel`lo6p+)a0~BQ+bqz4lryRV@wZB{f@l
zdobaZ>|WFRf<|DwXeaTKL<4^IvCti_wBQPf;D12{fYIkLQQ1y|gd6$SOP^{&PLXT>
zBOPPd^RPjEQJM}ViK)kl)(luYq_Vq0!vxMc&Jl5CI!v+cGudxNg9l!QvkPpd;C$f#
zM>IPf@?*}`j^9>;*|<*eo6k&PN`8_z-~<h-y~OuO-%x>le=N#9l+EBZf3cbSISt@a
zQuz?%sR%ohJhYpA%-{v-+ERu#6>LvfU(qU&fpa;5KWPzWVC2Mo=TEU3umz8oiW0=&
z=7@pNr?X}dvXTADcAWxhqs{UqtO8)YF6%w2Zw90*Y;_-G$>6bL?IJyy9b(f~x&HfM
z3evM$e5WYN(2^;iMQNMHwvnFAvjv*Mo82jaUMfn!Qe-r+Ja7t|wu#w(cgY0omUb>j
zkQ5*`PR{FE);PYh_oUb>KNE<zlvXLE%E4IG_2P=8Wt{gX;p*O>#*h^i`8qCE3i|(w
z^>GTYqVrZ9Z3fQ9Fgep$lQb(1lyc{5SyT?xASf@#_ymxm_48mstSH?1JTtGqp9{UU
zm`~iW0{ENQ)--uS2((i^4qm7tAb#Zx+w<`lv`MGl4q@kq;JcKM(~(5<%PTE$Ak7Hu
z)bFd7mT<$VJiT!LUqqxjy~-b1U<gS7OF*>0SrQXjgB&0jGx2e8hKT4>xU5<8b{G|u
z@$QLW0lD?t+AQ@%bd;NNJ7(Sh+_JayT-IO4F1wh0ln5fC-vv`IYsm(%yykstjyZ$f
z;=D$Q5+kDX!A2Sy?)p$<&YiludjxYfsBE7vAt0Gs0Ui=h^<bP&xKYZa3%j!;c4W?p
zfWTQGs((QjERQP?{TfQJ%LaX>FE<mA3)N_Bbf+$a{AZ%E6w!z~d-=y4?BYTqe5+fE
zAL@YjWxQ)@_#3XAm31nunhT93glaT%>A)&+d12|zFs`_E*l?hR3$ceDoa{Kg4fHoJ
z;v!Dt`0SnFZ}r1mNafjG)7#zJ0OnUJ6||>uHG^_6P$!_sy0U^t*4pqzsWz>IV-BY(
z=-?=YfO=0i75}Yeg4}Kmp{IEZcp=x%%w%OEl3cfs^93f<CKTlcQI>Jid&-6OZ$u;?
zc2wnOjTYpVUY~fLw2DKle{tFyZsc+MmyLs^7VMxJkR)c;@!C8|HO?9yWY4R5_D!oM
z#CWFh4=b}E&9`%_ho^Z_i%DCU!f{QImGe24?#PN%f-@u}c5gy8VH$=HmKk7~ew0!e
z#fJJEh4=J*-HeD|dcHU&F(8@`)%P{Cqe(gUvyD3h5QFT}bcV@*ae6`L2MJDecau($
znt>pyB?X%)chkXHEJbtt0v9^feD=l;D<O1H;8k>OI309Tl3!;}5RhwuyrQSSFdCXy
z<jmHg!_}(L4!FRLPT{)bxz{3SZ?Hn~;eHxCX4~txNsbqtbD$4+N^U`-kMi_-U1{)w
z=gB9_VLoK4=Cf##DTa3PwK}d&YQT`bnzu&tW^_Q#m?&Yg6}^k+s#T8FfIOYy`DJeb
zbU&y6gac6$g``tt1xz%+>*$RugW-Zmm)CIn&KW6``oc-AfLjByE4|WOUJ0R}HdUR1
ztg=Y2y?F(GQQ=jRMbxiVVbl~nOf9-Aht8+Id2+O$3J+u=x<;HuQIqF?ci+61N0@YZ
zKifPN{=8s|yxY13z4lQwaw90BLPdY&GZYQTa?K6p_7q1^NtR(F2b7Rx_O2Y;FbxPY
zt&p4%l|Z9$FaBG6LqaU|@{##0G++{wU*`8qqAZDsUVk+e<Qm8`^gf>kYs|U5g!j^@
z?XOFiMIIS>H8xMho6=$D5%Fh~23geZ5FBExs)|Twhd<_ipaWx5bs2414*goO#JdXB
z(CXBqQEOiYT>qON8OW`G9BeD&c{QkLRiiT_R7(?7k7^4~sw$#rN-FQR`x>b8snq)q
zTeQG<-mi4XP6=h!eC`xlqM>Kn5;ek-OqlW)O!^i~LSs1}`#n<V$OU_J-WIgs=5f`H
zOL@vjp}IU>Nt}V!3lcoc!?!`-+PmzVO)BW>{>6gb7a6Dyg1yy8bRcA(J^xHU8U4r>
zJwE)3ff^RB|GsiW4}K92xJ><^pbj@epnDwy83pA=v`pwj3Q_o`ezPiS5WVw!Uls%L
zFDmY=ytW<c8xQ{4m!O6U-I<Yp%o#`_$h=Z#s}U^kI##=;p^o-3j+K`c)6pm90fF&s
z3>H`(L?qu+M~{_qiSu7+sM>UIbkJ>p%2>7T=U>#((DRKOi+xnI#g6c%g<%ZAqcL(9
zKB*%Ui=>$^iE8L}!czzHx5gmw!g5MHQ61SP*;ur2P>^QW8~c|!CJ;B+88;%Kjy|4s
z^?YEZjQkW9q^x62Aozq;(m5|Rq;R?MXWT_awAMlSJMi8FL_LyXj^0p3UrQ*p-p}Qb
zqpQA1>wpQ|+t`1dc#eYTbK*gMtCFaYuVH1R*92Vd$xacB$mqmv0iWE-Ehw(fs*K~U
z3D|E>|5`h$jO0K1nvv~=P}O!b{l=JobvcDAzlV~LdbiKk&;UN<?r`G*&FY{2UJ6;Q
z=2b%LTfNM09N<Jezjh`v=Z&G7?vkvVpn&?5-bnc6{ly#Nk60$B7=!nNGBG1b`F}c5
zA6-y7hd&wJDe-`A47&^ZGJ~9Ck=vVkv~gw>&&xNORj3DW5%>AUlPZN0Y&0+IAL+s|
z&9Petod7iKmmFU%Y(*Svy9k;Nm3R}J6BO*k;8N+8ZQp{$P)k(xnc|*uEaY2=^vGW$
z;E3y9RH2I^Vsi?&E9E2BZ#VXZn_>j*%!mi~_=Qn*qkg+R-&d?t*?+NMzabQS{ap21
zN)WByQk&Qn-+{e+6Z<kQayy9RbyWmC-;C;g{aBn(2X>YtcVo*t12B3#KT{gai<}C3
z=J(6CV>SD3rh9T2z;W`AjHN6h(hRDMHj`<^y7>q$SFH3Q+objTTM;fq4(xwA!Dzwq
zKS?A&k{$>ML*Aw~c0^aXGjpY=4pTK>+!ivV3wOt+%dd5@qW$mZ0yB=6VC+U7IJ>?s
zEG^AumddgqNV$2+r7Q%`A-&ptH%SM04z(YSF<Hk~=D(Yj63X#w*%fQNbKBs!;FpWU
zq7^(_fM#~WssSH-jC~*-*aoW!=XzPMFX61~>9i5yFL<)@@zgS;4R<&r!!4gL;7&J9
z{=DVt#9y-H2B%TAp?P1Su!q__-d`#|(z^T|4}ZU{^FijnyB_l3&!3vbH;WyVSy~vt
zopccQb73azIdk%`*3t~lcjn%Q=d(k&sEr>zJ4)-H|0*mVHkiSU@B8geSs203+{|lp
z<<^3uF|G&BluqMb+`^%|Iez2V+V9Mdw>07Teed&z$EI=h!(-^M!X$pb-cIV<CQY#Y
zaQa7p(KH?!FWz!1e+uUq7fSX|X28b>)2yRr)A+^jE8+zXGq`xc&c&;84EP<vnj#c1
zje9rR)jJ8y;m4nkv~LvB;c}H#1y|EFeq!?%YVzPbekyVAwO*jZnR4F{AM+XfMSjzv
z#~&AQBOPu}jb}8Vw!GPOWq1a68C)5Y|F(=rb*Cim{H_5~Vn2?|J(<N%8ecW;=3B$X
zcON*yFZ$01bB23xC(hw4gU5%LJ^tdGS{(AO+Ed~2K%IKvgLyoMUjLHiJPWdVb=;@;
zjyk+II9B4_zJOZ`{x%+MXGJb<HYX~E)S!99`EY{P5`H?~P20tu9lZ}ZU5<3rAjhF+
z7k9-n-k|HQTs_5s_+C9$Sc+GLAAJgK9%okZoI^^a!XhrT??-%k-Yf<B5;Nz@?bq>>
znV~Bp8AOy+?j1yNp@3-X_rxgg4ZLChmp@7+Jm~&zcd@A!G8lW27-zq;pj8fmlEZ6!
zh)l*kZ(ETeT6l#>R%Anj=T7a37x_{5H4eom|9Erz%v)3MTkI&YM=gGKs~}R%j1eRq
zQh|W4>~&nioQRM0^U_d?5VA{te1vO38G_!OzE7;>LVv3YGFG;Upk6H=!{~Hn_}-W{
z@HU-@im&>6XsnB(v<sD$2DZwe&VLX!=I|hISJ)dpE{3@K7aayfm0^F+g`0nR_|QV%
zO1BD80zK^ruFV@KL1<lqy`dF9a+Os{ShbTvjLS*B@|`5OkP-KEc2NMuT(@}I`cVeS
z`En7RdPoo+uA3?CC4@*lOER%Y4!OCf{x`5p0;jZgchhxY#MoP&>%>$*iV>wPBRa~!
zTfoq`SS*S-tC~dK)heR+hO!8wyULKkd)%fVMhvm#`bib|kWgap^Do}YDlkO$g^;+d
zNYdixb3vvG%E`UHm_Mij7q^cuNW76mzSbS&7C{Pnn6)=x>?;`z%(4Wz`DD=2Epbs(
z4mHGcsQT^`f+`FQ{m`E=kwccRUmlp_q#}n#%c##+)PVEp`$NP;dE_{HfGo#PLq0VB
zN|zl}m@ukmdp@UtCR@?R{M&S7H1^4_?<fuG@*hgsxhtWRAE70Q;SA*emuJ_{2|6%E
zEaj;KB*YigJ~DGg6U_x0er|HsghEBfA6t*9prS<XodcK_aud`Fc)O$pOU3V`yoSi=
zzcy|T=`k&Ii+OWRzy9Ap$v*S$>mgONY4~NpjiXGoa=5AeZM6=JJY`Y7{Z<Xh7qQ+R
zOJ|};3qJkx-Fooe^FX~j4;5{s4OmLWFcIN*ut3SC?O@)$`JoqC107eAYurU;BKN^j
zDG4hh5FAW;cv66d63#9J`km84vK(ACTMYq(4DP?{E2W{G`#(s>cxWQ=wKR2`9mZg-
z&~<i+NJkTL&6fkX7)XK{VLzsA0uHfh?DS1^q{q)%TvVfh_#8Xj(*AL!%KM==F3mJl
zrl^{`d6ODS^m)+4^3W7csM%E!$TTEd3@K4!|9r~ynTz4#X7IF&!5+%cK!)atS%G|t
zsKsNXq2!<$2*gKNBu}ZMc<ENYhpIBj^O|AWHeWL+@YQwX^HoF63LCzw`CCxPogfQ)
zXEQiFxx?mZB?Z~3h0wM<=0_{mCf+nTGpKM0<RK5KAb|zd$n|J;)YJ8X_PfCpLYi2f
zFy~09%tCIbn)3|qS*mLP>7Xgp@P$9lSyn{8zbSG`(l7DejT1G``b@yGDKYo!hCB*f
zYPHpD8O6j(iCrGfCSb)?=6_f~4ryG9@*{p*#2%%Kp~g?fkgcf7UFR-^ls^@AREe@c
z7k^(*$iI22ky2mic8eqH%1>U;rP;xT_u&sxHNdQXS;*!aqUcjpf`qv)C!B9p%n#NB
zc(DIKoT85qvc2#*BrS;xf(3)!NoO(m>(=%%n8J^EUTP@*I7EP=@?Oi%U?b4xyK+f(
zjvEcpor4=*5nw>t$k-#%5bSKuI_}crMAVksD|@R6z(p%{eptL6qMKKHOJ-RR<7lLl
zP8<PD`o~=5dJP~#sXwqpcLkr={%6V;2=HS>J3wE^04nRZ^fDc1@&6Lud4A~Q0!?CT
zo`sD*G!-(AlpPwwS3lUEi@wAKw|*)tr~lJyt$pQv)XH9bQ~sDWzYG`jhvolG8_<QR
z@VQQ5Mm;`y#h}aVBPTeHNr@L~>%z?pck7D-<yg@E>C-yNoN!21?Y?uI4ybe8&@9kz
z$5O4%6!`>jg439*me%w(*jk*sJ4|N~J9#Un$jX-!_6M?0eA~Yb?Ef}S5}y3RUQ=5V
zts*(Wz9*bxQ=K-vIq+FnD`pat!a}oc-gCmA1t;qWZEet8E(pnBnZb5Ps(ODSae>d?
z=VemQn84=v{DgY+99Dc${=#}57aVdpB>q%|2{M6m#xsixSlg8`)sZ~}*i}dt5__x#
z>DZAshP#%rXuo}ZsggwS&O3c(A5{zJVH$f<;#M&U-@;f5KR4V8V|(rPS`!*1n?_nc
ztz$FAZB^~6Jn+GPzqrv3O^~dyj+EqKf!X(Kz64)hD0vwAaIK30U+-Ru1_mpfGq(8b
z+|LJ7Uc5c8{2AaWRCFi&2pfoGMm7`#Z-%q0X6IrA7;v}P#?B{`9T?XF{P{@&K>S>u
z__~-5nlpE@Tz_-GJwdPc1SLTTyWXSjdx#EP37tP5@8W`dJljCfPzVY<pR{rD(jl9%
zCKC0Q0M@7YF5L4IhP8Z`;@4MbU>g(cXlBn1FTOr>q1TGQ&Cj)g?-w*6&H)s7S$P4-
z8m~@kZGoZ<u|@mK8sI_u?jre-59}-V>|CoAgT60g36BLez_r&?vj}a5beGzv*8;af
zh|Lg-br}^de+!7baY_J6$e%u^SxbT+Z)rQhp9)oS@AQkJ1tFqS`fY)QG-My@Jw63g
z*lEMF#qXUEOzwI%`TK+{a9_)aJ*7egmKMcOD^U?3>Re5Y?v#V^KcUiwWGa-t*Ia!Z
zA_|1mCVyQ41z=G+T7322|Ch5nMQ&#k1Mb$lSE&aTp`*LvNKH5u+%!{sd$Yx1BO}fG
zewh-id(0U2k5b`Oe05HUs|0+L-Zdqvq6{hNmK=&f8gQ*8e2i013W65rQ;c&};8TRE
zrlckfbkdh@Ytm%ERTy(`Ql|jdKx<_^KOOE0ZBe~0CkKOiPQ{Xys&Fai@2X-p9WMOw
zkJ!6S9th3Ue7dzd6uOX#{OuT^qcARfdA|a55$uIMzfwWw{aR0@f+l3%8eHuPQ-q1}
z$^f@LG{~{}y__JT1@p$MyU!OX0Ws*Y)Zcw{_;&JeNF$jE)n2(`w}wejwu$Xs#S|S(
zdykZ>xoQI;#&)ay78Q7bw(N2H$G3-<95^VY+d$wE+cyo249j_MK41Tj0eQ01A=g!P
z!IZ!7OtKRNCZ8?9XBJHmXYhv!zt)56*2g=|5353|?>)Onc1;)xEZ%(A!2oRR&wspb
zt_I3~_{i8N21MM;diQmCJB(v;RY8P*eHQgM`W|Dzz7MO%-rX~TBQ&fuHC-KMJx)F_
ztfYfR`gLvzF#u`xCI{wUb@;TPR+?2#gLF63O(tIeNaK0l%gR)s=oBuACR5>U#8ImK
z1!H(wZmQ!cOoifGy5z@_YA~^zXvR-40Yg@40rj`)U~EHSB_1O~b@pb_z#tPil>a5l
zmZ=V!sTcQgUME4@J>wej1{2^@A!uozRs*vg2T%FjQGocW83&^!6Y#n3%(dHJ6|UZ(
zkiPiILNSdo*hVykLG8S=XeR|SYGTY73tNG|EaEG3%>=S_u9yz}RROlyh5hOMA`rbf
z(6#QX39#s`i07yN+oy_{j!G*5uzkDO6qRNI@fq$rC1pt9m`2Gv6iS3P65GO;T_)fb
zn{uGzt|BZ%&ZvA!V1*2h*=c;r7z#F8jB7*{U_!rgoEE)^?R5CFE*E7C3R=E(70Gfy
zedzRZgEo#)Ekt}k{$E@(5eXQ}fctij(*cLNF`=BFeQiYmZ^Rpkm(NMUc~gp#yTeoL
zvk%m<ngRsqwl+QdC=S(%vm;^=A8=mVGmQ6-FmQhm;pyqH1uR3Kys9bh!jJ9xWM$rD
z1pZ1Q-`{bG07saj^`(k_{P>39E`b?C;Cr@>UH6wDR9+8=6ZkQRcbxnwqbzF(TS(@3
z&on>md2wjPwcrQd8*6t`)NVTr?6J|N`0_!L<n-`&&mXuyk-8=oX#nldBeTht+>nq2
z*O%-E@oSVW9`h!BsMo#qB<dU&Bv7T@2J-rGD?06}KfgYl3a>5OG0P5|ok!V?WxwP4
zYget#IqQML_S-qF6|CTV+vUHQL!EeufyDu#d|k*W=MkSx*uWko8$7l#YQ-hHUf$$k
z)dj~u6`N`GHEbv;A!D}Z1D?+>y(n`?2jZ(;$Vc>-v5Up&lT*SqxO&y%J>kl2;7H7y
z4tlYG4O#@*J=p#PFBvU(`a*6S@Lic86T|1QQx*Fw1rI*Jx-INwYj0_T#@VX@_X=k)
z%?m{*Bh#xeiOG!ysYNDS5q>FkRcRXgc2xX@zhEQA*<eXbI>7|L$(s*Ls{UXR6<X%(
z@t?8NJPn@gy;{(40uN9qn828>T4CR>wPWrLSt?fh|8b>m>dR`LaqQStr>cvdJs8rz
z_F+exCS3exb?e%PF>Lf}($u7UKjs-uE9rO8go*!BTnC3ou@rCmBfa=REcc8=<9a6p
zhC7uHKDQmk91r?z8{`_s?jI3jMz}HHouc7KUg9XWl}Y`Wb#nwe-)%!X@tY3ndoQK#
zWgo>_{l2=#N{wM2Z7jpl7wCZPq3JFgjbgv{Tm6u29LGNM(cMOP=wKM);~MvR6bq|<
z(l4I;2b-uel>A^s`{&=1buzuiFvn1ZsSl>pnCKO$w1v|eu-8De>yG1ZtRQPMKVRDn
zcK`A#8G{@u>{{{O+;MRnYb3qOG`cc}wXGAjM)az~+wX=q!#gIhsO@~2aaIdh^reSv
zEwbvMl+hELdHN5Q<W5WT*IB}P#@Ph8J=I|K<8EpH`%_rWg1=$*?iDO*U52Pzq6%3j
z-$zb9n#T6r&s}83uVI&lL-!v2$0H&Z0uM)9W-wa?W?&9s10z|6Xy0+8K;B=;4X>?p
z*!X$NIj<fTST6f<VGbulLZMMi@6CBEmEP)k$BqpOhEfeONn|*exh+;qZV~gZ;1u~h
z&JH`|pBR3KR{@TLuBRLZm$0KIqqZFdoY1S|pZ}Ia1=N_!S4~@2u*cJ^7I+!~T#Hms
z^@k|KJLAw?;^G?ibVh7=u7n%7h~^4uEXq(eaz)Y9ZUd_-8WT0<-~+2~hZjO_lVE52
zxCqZY3;YiN0RR6Cmv=bTe-y{b3fX(_%XMAuwfFZJp(rDxB3r{qvLab2BMK>_B#~rf
z{GwF)ev}Yp&&n*KWP~Kj&!6W!=Q-z}_w#<ePj^b$mG`OaaEzDR&Rk3mQr7fhxIK5l
z&xK(_o-$5=UZ?+h8e~C`Fz4pDLI+R#=F3GX+`yGN+N|Os3tv1U!*nYcAmP=@<p&>m
zfRflc_lQ>(cGJ5p1f(;;5wlVfO*J2=pNseXJRk!;OL3cXMa<CIcBUo0S^)lCKJHsr
zA_D=J134GJvBE}oR9?@75SZls!~>IMKna_9@b45m)SOX$K{XYH)Q$N^-LW#TeI$Y~
zo5=}xu*!+GQE{*_yy_^LE&~-!V*GcxxZw~>GU?K=B&-Qn9HTs!0ljt7#k~J`Kzl#E
z)0CSuNM6H#XEVyeVGC}5gY$e)bdxKtjX@ToZfQ2(373WYhuGs<eFfm{*+U0S+U4Ni
zU_P@uuN>$eV-X@J2*K#7<*vXAc__<M?dkk12O>t5>vL@)kp0}AtWZV-^BzKG%?|>U
zh6Z)K(GdrWdwlVCa1wm~l^&R)s{j^PzqXkANy6nb_dRE4$lzRXY{avV2($cRM|wM@
zVBpuS4V;w%$u=)T1Di;o*;TNAa<2^hZXa}?lBU9O7jgDjHf7L#7nS|+y(~DscsOrH
zRfX)J%(ZMc3W#k7tuuNOpm#{1DVVGVZ7YpwUw=^HNdHuX!C!e8dL(GZxknxT)0tDf
zSgQs#msbkfvx)HM5VIf=sYCae-b7Kk25=6~W?CzdKvqC?vqet>oW`^Ch5NOjE7>fy
zs7MJcK79zBJ);5pe&F&2(z?*h`U)5OONNq1^B!Y%8c@Z!>=~4-4~MS!1xw4TKx561
zb1OsYU>lT97xv2#Xj^#&Hkm0<{nJ*0u&D+d6IyrZ%K*Ng*`z=2Oabqe(2%>0sxXoi
zR%-Fa2t*XVpon-1wEq;mkSb3FtAcNZ&P~S9-t3Zb;XDQQg-@hTUsDE0zlM~J>n2bX
zI3UqsN&!Zrf3fr@6oLNH0NptaQy9KK-6Qx?1+H(IUVBGR0C!-?yjN%n4O&dCr}LB{
zyE24AxFrQ%Lha``hfU!yuR`8c1v2R0dP_N6Eer*kGd<HEcjoE)m*YZ7pzD%b@%%M6
zq$-y_75L8-^jldTP}7Ov8>yyXaF7Yy)?W*q@Y(5`%;_p5$;0>gH_a1sYuI-`MTdi%
zCJ=chw=v9L4$h#o*ETw}Sm=dgD?ArWprSc(&&Ylm_|#vH;%_bDr2{V)Bz_u$784zp
zoQf2*JrtHxQvHjU>x9zXayJHe%d(f=OdS5qI1LOxp+kKhg})BIHv(Q!?UJX?!f-M{
zTSo5!6Y7^R+h4C|1S3YTTN%svfm6(R(p8oPsjtc%Rd@uD**)yuuEhgau07^GHO-1r
zXnotb2s`VUAH68w%?Yt<NdXcodyq&=`(0-X42;uO%uegEz-eWU+V%)GbYYiIV6d$r
zoXlM{`}mz6K1Vu?Y}{c(I6EG1c)|c&Y0T5EiqXKH`O`f;acn66)>T^4j!ta%#<8Ym
zu4B@TO0UZF*wCL3`jtWTdXRuUNf*ss#PmuS47w)vAUQ0AS8G8RvW~QFbeB(JOtbRk
zMsa)4PYYI!LKR);pOjDF?Qh0RFrWEw;vN)1xOnADgbt`isbV@^t@vH@*)96dtZ4K2
zD8J=9Z7B0n@@D!mj+=5n4k6dEqN@^9)>;H@_!xn^W^Byj_gePfJAR)P{o?*`T{ck*
z0;l$ww52cM;t~AUo1U<uX)a-bk_AohQj2zvv{=Q3dWv~W7g<r>a~p9V7fncbVt04-
zzjfRr$aju<a1U~l__HP6tpV5fPZ-Nh{lT^I3lSEBdk}l=6@{XG8nEK8mHc7iFTPq>
zKemv>hMd@pul2O4Ls`s5^GR14#J03WbveO~s*G+~<{nUowKi?$X+(=w@|Q2xo#jBq
zW7qNZAvJIwInaAhj1J`<xA5e4<V0;+?!v!Mr~&ygg|6ZpJ$mXj-5$cig{~I9HT&<c
zDjXL2#Zx-OfMWVuy;X;}P&B8Sp-rwTta2Mr?;0|p3Zuy+jz(_u!aVgky`C!E2<0ev
zRI?jR#?$6Zzu-Y{zj^HA|4aoRemaIabrux(Bx|&Ah!^=LDwcfApo0DR!?r#htSFpz
zjAYEtkG=?=j(BNK1!L}vDT^K5Jl6E5>+%plCF+0d3>c_j=(~RJjS&YbvY*<p>k~xu
zrYYZkv{RrtP0EEcixVm3GyUrH5=Q-J@-t#`DZui+f{bT#p*QK84T`*?NF<f@RbvnZ
zQoFw?1y*vSdJlVUscA73^*Q@trac8Z>2SxCK^_zq<-ScAl0f#=u?fs36gbs%9CzjA
zL;vV5MH1E|Q41sIWg9~Zh)92!<vYob+>0$<@8OU}H8SmM4dxWk*Y;v~*eif8ueEzV
z(w0H7JekZd+$q5ODfC&7y%1v3i{AWuMi#j_=}a!9P{3xd^}k;W!YFUF=F`!7ImBVz
zKF-ue0ZGLK#8)Va7z4k&4rG)^)XEp3JwjA4*n3UqzOOh6mU49Fa8*FRe}ScVJQYYE
zL=*JnB$10?lQU-n5j|)AUR=LR6$tXyANNT}A-lgl)=JzYWG%)$W0<cBn=6|^EYi~G
zzdbEh)1FFb-F2@u{~<NF{wy;qh9rZY`yTZ>S42ju37)sfa_W#*aLk`WM;6U=ZBV|n
zD<iM0RklGM4G_A&wGwJBhb9i#a<F!(AV;fvEh*xfFckbzuhEWxZoW9geZh``UaGii
zJvGq+`&dC0%uycAT#5Iuyh}lkSLz}XW3?ePV6WO^D+Q#+pCgj|j)KA}>u=R{>p<c&
z&WE-XBHC)WV8zfwK>>#K;jzkkz&dix=FcA@a^KhA!&XK?BWssw{>#*dbQYyIu_cOV
zf%CQNUwaCY+y9R|vT6X92D}X$N+i@d7pcQ{PX(Rrt_moy#NfWd>0H5N68fa~{163G
zM)Q@)9+hSQpO_-tuGW(f`&wg3MUoPFez0`E(=fo9LJx4SC84EXq80WjipX#^zxIx!
z5h%Hy_9C4pp=k^8<f=mo2o;1_6J8p@lOK09t++_&f$NgT*I#nT{|j$@;T~g%XT0wG
zIZP4dXmpWIB+8(s#?a2+U<^#7lauvTM5HgJddEXh3aJSne7fJ+7=CB?+*m;h==Pnf
z;@`u>(9K>8uO1g;xYgMkFjy^*@*H(<X>JRm6!p2273RiJvl!lLahZVbMxNvTKEaC$
z{5-|-#f@Q_JuElULJsj;A9^9E#DxO=mTO;rF#?{)cv8YY88mBfG$y}~6~$RCO`GH!
z!B9o9fKZh*Vz>}L`BH}wmA@To21_HjEw;$K&s_?Au=aTR=MpVCA3M}`aT%ba^bwzn
zfF#=g@BO1?r%gP1K0P=(6Cg>fP9>s73=w##lWOW~c)(%h1U(8ssd?YG8EX+VAZp-m
z8@_}y#XEZAIT)Pz_+HY3LkQUl^w-__Hiu{5;~{u;8^Qs*X`QDl{D>y%3Qq_9H2&r7
zF+EFWLl~Rh`{U>~FG>XQ@VU83ybqD;hfED1&oa;^S&aw1c{HMteP9B&vxwu^yr>V=
z`5~K0>0HQ1wk11sXdLGpqlzDD)r0iPYU&UlCyIG1A|;$Wfp6~fC@|#E0~?=yxkm|X
zNNCJ>%xPs3FQb!NT5#5dw#H-rYYMC=i1?Ryh2{$`8xh7AR;dHo#kPL$d6|*@IpxmW
zt26kIAClocbUHw3#jGVwnUJNa?dh}ebNJwJQ17y<HZZDN-zuwRKm*Ew@AX>eag&_v
zMf6e&+SrCCrCsRJWUul4*Mue9Y2M?OoQxLS|2(yFSf389HePErXZVSyydgL;rfR}c
zbn1TxtaqVo^AP*y%@v&6f1THILj%|!f2=aiphdpbE}ZeZf8oVRM7J?t4G6wua;N(r
z4SM<}V@{p)8=nc0p?x%=4%@FHD?Vn?AS+X~Yp=Zj;I2dLG37_q!SjtzQiTl-x^&qp
zpZm!cF4JFm{N1n`l%@-f&8pC#)t{vFud>^CQ~B^s7H2g$8ZEhagF=I}CmY_557Qv^
z$(B^_NmbBI<LVHwr9nk(e!^pvUC1t^>(!{AD#ZO)m!pzSg9a=`XxeVmA^!VEi7|hu
zFn%`CVq=~Ly{=!rtS!NS(jIRjr!*=&+|XN_Jx+_Zljd8Qo-?BM@fPO`vQ$ut{wv$|
zmlpYiJ*hVj-i;`C8m_P*3VaW%W&5vY=iURizebiUh$r5#S$W5w=?y9u`7Y8S_Aa55
zVP<<!l&?)47Xt;-m*%dNoux;*O2$WXPqL$-NA;c4$5ep-AYEl>90Ou82>IA{loM4J
z3Sl}gl)>iJ-SXyYM#P|1(e^Bd3l&@MC-%xIgSq#eR>fVrQIFV6fbkMHx}lN#JNXtF
zULNcgiw<W-(M{SJ>0Z33==*^sZ*ejhT52rxakHXg%ek8qt9&S)^IKO=l@buA2RqO2
z<O9zM<E+3E0hE4u-ZaZb32Z|OEH|3j(Y4>CcY%>YD8BcI6ce2i%vF&eUO2;v#A25+
z*3XI{73O_<-`hw~&r@$(dXo!H{pfN1mLZ0u3pE<kib>GxSx@vI<VL19r0YKnOQ2+$
z(n~oxB*>{rysb&)MZ}{5#X+)CD2*(-DO^ed75lt!pHe=Q`c}DLH%J<F6*u~343fYl
zNFhkWKmctGUJ1Y2E3=a??i9|+E5V(&BcIBb1kr#E`E>3MHxBT&{)oS;1PgWaRgtfS
zkxPf!q1T-RB=-5Bfc#!EES&G!8m$vWoE=xkBYhOmu6hN^hOjaigw;BoZ52o6q2wc5
zOp1u*U7ok&&R;R)UHv)kyd*k5Zhw`xhJ-?F$5eW?C@`0lF{fB4g;?0@2EQC3BOQhy
z%Y-coT=4AMv(hV#itb9NRc$DvUs9Opt}j$@^Rm)&WS2$qevQXI7*kMbO6d0QMO9FY
z&K+E^-r;mt@MP}q9qwR(GHO!lP)`tEb-qqOe=Qw8wBMv6etiDCUbqH4&gAf?_Q|6s
zPLlX(K2;R?2ou>_)C9_KXzBWHB66bb_EYs&MSpVm89fuVA@QC{fe~2|?Y`+yxSpws
zRBA$9`L%X@=E%?9F)b3Jd%hDu;#E<2WsJM~FFlYqzbHeNR6><M`}v(TRMBp6cN5cR
z25@AR&Lw4332o~uBzu=q(J6hw>V;4YiZh!w#!ryZvnwqzBOfU!mB;Mg(=-6FtHk35
zPsu1H(KD6ifeJc#Us>7bpb?aP+}<1bmW&Sdl8W-kWYnEb`E%))5iA6~af->=sdusJ
z&ATfiMgDTj)>vb>kku*AEJsF0$=HCZvpo79G=JjkoH1-qpHp@SQbL@i5hmoF9I^5G
ztYL$)3DBG{noy4?p+@^drAY!(=(cqy!y6kDVA!{}yx3I{F*)NNi;|*<_$e$T$<_qq
z%ukCNa}ZG}J2CBUFh4qaF`CU&-30CnAYxg*JX+=X;L>T%h3X$i%-;KJ3<1ylNBVgP
zNc*awRj)TQ@?LE`z*%by=~*cmvFBwG`Qod+Igzv|?t1OkS;rkN=QcMsj7p<!W5RCd
zqBY#3=(sE_8o`I<*o_2ZDfG(DvIovg<4Jqg^W0;NfMCB{<FJPW3OS<r^aDS_lRBoK
z^RgMi<I=?Q_RgZHy7%1_%=BUopPgeDvv>X}``aoW=Y^0o^55!?`HZost&dMi132D0
z$rIVik2LxJ=#Q3s!)8>mO9ieNj78M7gq!f9j*7g}*prJG(N~?tF3J$37}j!Jm${Ja
z&t+~Nv1RPLp}!@=T?5dP-3)Or;y~M)?ccVWmNBJ|%P!9C`rs{@{3)cB73JpqHW%n#
z#>fx658l|+g9vqR@t2mnk)D(1yQqL=tT;pQRIQpG941K3l#m#ZLn!Vv+^~ef;cc0u
zv$|lz@a0Q|$1aqh<9ua4e-UfF#`m=Ei4HI@m$Za*ZQ~3F>;rzs|G*-zcbzxe;oZX7
z+l0~6o4AQ@VUUr@cdYJ4nEX|HZLpV49InV($E6me8tT?(u`lORS&o)#L0-$eGDUqA
z|5{$n#Pr_`rkQt@&6R0~gTGhi<&2i`F8Kp9?eSl*6MKi0?N4fg=+r>_u-gwjsdgqI
z?93EaFq*Ty^<D#TT-(j?`z(H+6rrdUKY@AvJr*yatpRt*hJv=7(>Q%$#g<+8D8`id
zwkoMa9UKZ44rIQV#8*tIA=COFFxF&ZH;a%uOv}11c)T3NHDu+?q8)~?Z!cC`qpqpJ
z15(tVe?7x^HT^{oJG>vu7z#Pnz^n#VE(G7#IsG^>INMk#ycbIks~otKs0uf)%+dP&
z>Bdi9Z=uOJ*Nv?ZM3&i@Re>hD&S&CP2Y#V=_)N!z_t>YfpdWKPT(deNpivUqg8!{n
zcG;EEjy=#1{wlyv1>Pp#vX|eRaNTR+V`;2y7~#j<&FDf3M5!)TyybX-+sPa-jr;uu
zOX%6p&Pbs^60K_nr$-&GlJxP|dGlsWD0~lx%0(5hIqol=W>AG2#RQD?EWW}9GtI(v
zE0jSok6Fyk^gh1sb<w<Xt_i#ADSDayBN@^ro(AL-a&a!RA|WB=ChT2X-i9{^8Cnlu
z_&fX}o<V$el=TV1KAneO>id*H_WIMJua^TbN7cwhpBRLRHy6(yOd<j1__1re^%~}O
z^KIKoJi<n$^8>EFQ-pBNG--RrTbN%qU9{IrgspmeVcmR+;Fl<C^}6yNR)6^DO;BmV
zyjN}#etHpsk`xeh`Pu`_@78M6d|wk5+oZqHTdx348x1YrjVmzz4v(qq@>kfw(;`Rh
z*cG7K7>^zgtj2QU+awL@Ut|2a+v2vq@=)~5S#q$k7Hhi2%y)aW8H14APu1-N*quPJ
za^tJRJ_UL=Yn^PtXk%Up+N%)2`N{dI*_bC-acK^>BTpOV@QqtvJVy@Lo8;d`F+Rfv
zBgS6RZoI{k)m~p)p_hXXb1p}gYF=RNwTA}S#ol3j9&`E)p|WuAVvQ!}6&$;l-Q6ga
z(1{5+s2y<lCIg=G55IaJXu`JHJ|}+4?Z&45*;YRCl!311(X+(0SC~9iTv1G@7u#NU
zp;nGbL*?POoTW|8*zMNi%dxNfu=10sw{%>k;gk_a@!uycSk$-xqh9_17ADqo-(XS-
z@<)Hp6pyxHG?5ZB?Bzq4?NAVV@d+u=J#a@OMY{tFHj^qk_HzV_%YF9n@UkT62_%pu
zyWV4?p9GaOB0gbP$IgXYL`#Cky{c!r_TAW5ieIOP**Hda%fUU^CBZm~NK2UM!MskB
zIh!bxST(llr(hxh0tej$a|`=0;$mLQ)wwB5O~&8)UZ6PiW*9J7Um3s>Rz)UVd%s{J
zac@ot+!KQhK84gvr9)WM-TAwhmS!-YRD#^u52DbtT$j$aJ%Sy2{^RkleREiY9{Nxy
zC<^W;Yb1}|_=NHE8%sD%f5-I5nzwGbh``OR9Sc7@j$tnj5V_hHFiY1P`<+XKp)f}A
zV4(FR_MWeEp9ak`HuN{{=a)4haLF09iRAi>^$xaWceee+^!&|Fnpp}#s_)3mar$X2
z%sz!_<Mk?b{+-g{+!8@B7GVf(Ab-V%Twgy8T>phN#L#y#>=uNdg28Or*XOVxCz_V5
zQyZ8TCGGH=KmjPaOMN_~KaWk@`iNbW+QLR|O3V|+_yI0x?-!;nV!1yZ+oa^Tu?)7f
zn(K%7A?v4<VSxTJw!J&i^tKT#7``+Aoz=|;g7q_2&Fm{!(hc2ruO#R|CPw$#M+ZJA
zN{O!S;a$UY|6bwtRbzmmXWoMrUw9#K;X>~z`*rMJJT)pgo(Ym_ism<>c)^)e_?EtZ
z150kqCD!q<Kx2(`kb@L2OqVWXz0cdi`uSZu<rnq<z0rf?qJ2D&R>PZBQ@xD^2fxys
z-opt2*BZv7vv>e~Gau5rMhhp)yNz#malxrM9d(V9JP>lUo7fjd2cO*ytjAyTz!KEw
z+_B|>40iFfz$^wxQb{A1F7QGBwjS+_Jr7KbpOftP!34i8zi{X{2tqqozrJ!f4~#Wj
z>JUq20r88b5xf5igYO4U$(ENqQ0bsv%NxK3Nfxg4cfX4P^U7{pA2nW>v^+)hvf+dY
zG8eDbbxBYU*wYX+#tY;0_xU>cxM6YoubkcyX>gVcx?|PB2ObxqCT_CuLgISb()vDG
z$hfWhw3tZ%Ty*$`FRJoGcYR#M$Z-P1cf1*IEfNIMUKcv03_%c)Es)TwR)E-hUw?nA
z6$UB0g7N1>5eRXNi2N!`0-cez{==4HaN8((tLUE?2+kSjgfx+%-N7?Z+e8vdS&Oin
zNs`b!DlOEAQNZXnpQIv4!^jKg%OMnL2=I1wuq&eikE)_kO1UibjkK#>T9bkHsG%#v
zf@&Z+EB5|ImOOZ#5RGf?mxFG*(7yUub$EQ5@p23^32^Sk<K(yUAc-FhUGLlBqS9rW
zTYM_OOYeirb`Zf#D&J0;Rtx-9_ACaCQ(;2lSG96C2^^PyFC?vK!Fnu@XJni@u!oQY
z3fjrAV%zVmpQR1Q)U6{wozjBAF(Lc=4^@Cw#6tU1hc*;M{L<1&(FGy4KS7ff6p+qN
z47R+a4U`-<riBgzSc%NbobjZB8EdNwe~lJoEQvL$CIMK{Qyq-vsgTaIR=#DS3HFy*
znEZr{p*C&8%?eY6UBwQ3t#<0L_hDx3{3R23P$%Jj!Cn;#{06@JO;X{ujX}8lb5jt|
zDeXKduL=jjxvf%O8Au)v!feX+!t5Y}-<c;=VCFyaHbGheb~9#?()OFd(F%IrWhN>J
zO~fg_Vv>eJ8oA>fd1jEbe)sj11O*ak1IF)L2}0kZhVzGfGx&aY=p!w+GH7|Ki<)e(
z02?zo)xq5i45Y8?9?2(x4JXfFV8bHzRGa%Xad9s!uEkql-cSJHs(p`ijxOP6+1A^4
z9oY*89$QIT1_TH&;cHvn$AE%4B26Ecn}XzDC59VOGN41@|2mezfvR){)aX`B;GekZ
zuxFbj$aVaueEA^{TJ~ww6w)>Uzx;`OH)m0JtTxTF6vmHuO5Vms#~FiFRdU3rp8%9N
z$A1g)5=6^kT)e0Hj37PJL94Wr8?rj65$$(`&=acAIW>wAc)xK^I>N^WA9fwa!Vd|f
zlVbz;NDe^qixdCGO&K6sW4Frl`@$&6vn=ow8$g-F{B=kBEzJD!n+xau6Go+-@r6%>
zG3ZM=ooV`K0izvjGq1`LMtZyj9knWkKp!b_xGbg%6TC>2H*^t3O{?K7y-o%YRb6bx
zUp0cyqEO*_L18rL=A|x{p$~3#89WxAi#W|tV4~cB5b}Na#O?Wr9^AIvM>w#xjx(>h
zSH8;?LQ_>(8zV&zX5G)b`JdXxrw(0ftM?Z|9k;!VZe;2L`D#ts1~VN}fO%1EJ0Wyk
z@MfeAjV>sqnR@MEWkili$Kwti5JIO-Ng_1obl?+{os3EIZZz{{e2T?g2&Il9TyaAi
zT(ozc<27PMPrN4K&J`h4wjN1Tyr>PE{=CC%sceY--unYDx`ois=PrIZeA;lOBz(5#
z5eK^4#N+-zMHr!;Yl&*rS}?ryIfi|N6Qy`bf3_(VMjeMw*AClh!MptmLo=ORC}eDc
zK0sFlvFt6`ANyAm9)50X3xC0leyBXyikTKc!Ou1?=vHe&yIJtH&&51Q0Sn!nE)_*@
zc^MOw{4^mtEuv~6g%>HQjpqzr6ho<eWSgtXnlP2hdXgcC5B=NB^YjiCM+Gk*WtaZZ
zfJ0L)zHo#e`R||QiHMRw!##5heO($5vB$aK<X!<3{?+g7S4&B>OD;D2>>~}}47lC4
zp(%)p=`NSAOi3a!LNd?#O%2#I+r1#8B7~UtPydXGmqIYmCio#)1EyZxi|9}mMwAB1
zrFfz=x>3}jb}LZ>w)8!ik~BpSE3VJ}YET-r{4`f>OxFM=AI_hJW}=8>MsVp&l0n8b
zGqX+iHQ*Yx_ZhpJ7<#pG*l5E*7TE+R%gD8Az*BKN%0EUN(Q8$aZB}Iwx_&X*aZLlf
z2gB>PN+gg@@(>~Wp&SYh4&<(-Xu{$^-wA79N#rnMHMiH9fYw^NeuPJ8g1i;W86P?+
zv@u{Ql*A~HKE;1N^Qub|`o7dvwd6~oFQ!(pMy2v-;_GPBc{MH2@Lo1H)|N&*GviJI
z1_~%%ljWIRu@(fU?vgswBaJkDP19nU6p%wm<7kzXHk^$T9IZVegIIWHss^b<bnq9F
zD=*WAl-AKwy$u<3>(J5Rs1zc~pZJqWXQ%`3gA16s5@gZJQv@5WM09k%t6b=V4zRy7
zyeY^ihiFP(UXuArL>v2zcow2`LHqabuQC_p5V2eSzRffdaVC}?mXp<kdzPyYX}-##
z+`-e+v51IHwK+|3z1IWHHG$(-j0h+rl1g_aoQVDh0096043~L4)Lj(DQL=_HGxlxv
zv4&YNj5$J!QrV)UL`o$hk&=}5P-#Jg5J^OYD4nQ8k)^buWQmGYD)LtE{Cht4bAP{k
z?mge<d7j=A1mBOegJoPZ@B7D@xV?lQ3-X4zQ_%R5sv(4}tP_?)$VBR&_}hnL*f_R=
z*EG9Q2%lHToQZnR#N#{NcC2q=Aw~Coy@#_sq&-jBA2`lLOVQ4qpMEm&@W)X@(`I`J
zUEFv|Zjgxw<l}6GicGw_b-BVUp$LY%GgwZIOx*l;qwIV|26~Q671d;kKubR6b9f>X
zf0zAz6!#wu%OqwpYCemg%X?eh4q)Qjr~TWWzNcabaR*hB2%tV~K)?Ksfr&3RoiTVo
z!PH*i2Q>!3MgRD}ZJ`V-OXMdR7a8E`YmuueOaS(mWHQNPbd<L-D34_8<H+vjDKjI0
zEiF=Q@BHZa-zCnLFJxWR|DHOcr3YY=M3QW7q@lo&HJm}!Mp1?ReXbk;R0jUrO`)L!
zS7rNEPfgrrbi$$Hr3gB8jeGK9sCbs9Uzt;;j#iz#%5SGc&>`KQ($hvk@Al%2AvS8L
z{nvw{Cho%uXSem~Gzz-d`)D7VAmLk={-HT<?ctV9;A@@T1~@%A@z1iGh)JH?7GBt8
z4@)lgWb|IqN7>KQ;W?wK=-8fg{;+~Q%pdq(SrV*=QY>?U&`=dGQOEq&qzhr&(%h6v
zzAnnt?q4&ILcp^JHWCtOLb%ZJIyi=`gU7fLc}jEw3KC8vTNm5G`x9eNq-C^`c*V>@
z?zIYz=X|b7v9N;@clx7oMJ=5BK-Wv<h6=KKI*%TxwuO>TEi-?%CT4r5W``H4V1<;{
z%nP9{2y$8%8m`vB3pesgbMB~MTa`-af(HV~c=27nC08Bgx~5_md{)7jvbUto%LH&D
z<A^X`N*$k9f1oVk5YSX&z`5y_4a_DFD0s%G;h?L-)az3OoI3U;?&T&M@Vo3@OOsK<
z4LNLb@GMn4UrJY$owkOHG#BgAVlsvV`1D;lrivAUr!F-~)=-vYv?FsP87*~6!_HEP
z*iTD8?##3XVSAs?F)K38UP)c+*GfcU%aOCPjaHyIU+So=9vNFG`<=HQBVl>#`+lDd
zRuF0xR9UP^#vqS@FprgF9NJoylq_!riF&S2<`|Lj{jqN??Hn~U4tpX$yNVCByF<oq
zEF)w8Qe0R^QOA}+%>wmJe7K-DY`x+L8Iyc>mHyS&z&G`>Z%p*~@bkiovxmFL*iH(5
zd&*1`KfLSTQ}TufhbD9brN#R$T2m6b$yEzYD052Wb9j*UE)EV{Rzvm0;rl{jwJ~#H
ze#xD!Jg7H?`YI!JtlLVx8&Ri&?+NoZEE4e`P^rk!uR$H-Cpqic@_Jah<6kyUn+I;c
z<2_A6G|(?}v7}tEKK^97|ED3r1Er;DYdcw**e-wHjJ3r8C)*vCB#(2!UO_2#d{Ptr
zx~+bFVT#{xRQYD>4_xSw#45QiEv%JXcQ<F0g8oAV-giH8;W{z1H2I!3ZkeNY1j?xx
zZ~Sp<>ogaBUTFxzyE?dPU7#o>mWGAn6;TRg9vpoT!6|#9ixN)B9~4~ZsH^w2KwHRz
zq{Ki)&Idg-Za5s%rp`cD-W9ns5j-fbOXPl<V}Py9%f8tI3{;CTJM{G?4}SG0r*FwN
zz<E(o!ojOde13}JlqSOmizw~<Id&9WYg8MNyM=`YM)5iI;(L*Omd4!khJu^SPR>fu
zXXBo*#Z5uod^oOBu-Y}2iY<wRTRjih$o*lle~E_`e0JU`-J(Oo$|k9`4^|ms<ByKV
zJ-t?NJUF65x{ijo6_m`3Ul`(z5P7cQPHXrh=N|RWla9`vhkpIEF~WOKQ<yK+ZGfz0
zZ?7;y$3>&@b^JIZtRLa#QSRG7-@hgwVgv&#G81!_=NO^yt!-}}M+?ATcZR=xf`LYQ
zvj({rjc~H0jyKQT7XIA~>O1Gp#Gh+QggFsLsQ%1%$l;?cy#2?imlyNg$*7C4P~Qk^
zb_LZI=h{K<{<D;LMHccY0+LLgAr?=}p7q{K2t`?sK7Mj!Vb#p#ceDSo@gen%pNoV&
zsFgMjT-w0G#NPjIRrA<bFjV3bkYx`#6*sE3Y-6FP!dvEB7Z!fZ?CTsc5rM&5zYFL6
zSU6%Y6}aA!i44y#N2QBI@TMv9ha8WEw5ruEBnAW9`z{{m$pY;4xO;v6BomhwRVwcM
zNyGh=`KmSM0Hgf8M6XOH4yg+%UiDNo`ncs$vMWGnjCIj~854IuMDv3Q6nqrfW0AHN
z;KaJ+KV(Z8=%bU@9JkZ}FM9q{lidK2a%r!gvkn6@Hx;aLv)99Kj@zsK#Oo)n-fs7g
zr6a3ux9>bj9lYck<hybiKyd0kKerAV9-i-LH884)p+b%BUM|4LRKjB&JsNg7@r8AN
z)$!<A=@Wld0h|Puk{CqAt|xC~m7LUYJO6NgewPTSNfz5QiYaI`|5wAB+a$a^PkaBz
zND<W6?)uy@VStZwie!!l6VZQL{ooG;5xjKc2d=U)z)zVkmgz21#g&CE=B*d(;kQo6
z$HKY#NEAgxo>)b|)eeG9OKA46)wEcdSEY+L70>y`T~NWXRN^+RLLp42)J}(o>7ZX+
zx3jve3hE62l(U2&M_WAc&Q=?JXZRF%du7Z>*SGX4u!H5heZNKPYN5^sy`GL5C8RIR
z5b4tG;8?&y%M!9Ct|9m&8^tJLpF&vO&r7yYDoe^f#Lz(3ng4b&#r39xW|yxT*aDHA
z5SH(%j)HqqJ~9<b828b^d>}^vg%aPpS0{_PT`#YhOHoE6xA!y)ngA--D~hT=kn#D=
z9N$n>MvvjJUX?30ux4!O$uq0SSQHzw_@T23nuROA9G_<c(?TUq?tqxfd9(fA-&MiV
zyAIcl>#RXNV!AZu5D8&q^&^oh0clYI+4?Tl@KF2D^(=c59<T43=>1H<A2;2Sb;WZ!
zxPAMnL?se#kNt2!B1;v$6iyZIjI@HYe@52ao+P5x+8_5={zSB#(_I~{Vg-*TJhxn(
zAfoH#G>$BXgkg*S&e~bdhb>EqXI@K^aF348^ZjaM4Bu_WYw+g7vb!%W-mpmcxBm5)
z^YUVTuRr*zW|o*U3&*}J2q59-_|GQ-l+`iV$@6)Qm{(JK-D4h<k#N^TnJ^`BU&(SC
zOAJGK5Vo1aP#}`==c|e%kCtfSQIGu6J*GU!rV=t=93|uW;L8`P6SPnv%Igbzk_&D!
zz5BiZXh4_06V#B`njrb*i8eCsuqagxT=?t$k7QaZ)~6@k3)i!B@yDZC%!+g_Y<PEO
z*uzg<%pI4V9VvR)vZBDFE`|$jx|`Q<#QN0q^?2xd83Uw+M=aSH$OZimnpTP5HSpuY
zbtRlu1N7o`Ii+}W;oGIl!-}spaXn}MKj#Y+bT`$$^kgL$nwQP3Sk$S7UJ>@j4cn+V
zS(uVGw4MuTq}w-3-e}`||4z^23uvequHJG<{N1{%($`~t=-@?@*l|-D9Rp|LBkpH$
z!DW_AcZr@JsupWa_enDF>6X(fa-Cf8E`9q(a-}{-u!fcdi~XSQ^+u64i3h>9e9<TI
z{9ktue!;lSM8eYG+{7Rr%=LBGBu$Eap=p<fL<$RI=UBErddLGOdv`a7Yzpdl6wM1+
z%f{NSuw^pVd>}<_`2Bk+6;Cx%`4PH?Xt?tQ&F&T-Mm>uU9hspb>CU^vx)wtmELdqP
z<6;H+#<!F|UZLTV2fbIXt~bIyqXpmdMy;SS(l~3tosPsJwd}pUMo6IMkG(o?4cD@J
z2va}lIMQ|G)*c&UG@Ec6oLFuHH+*OIMyD|F+2YXKrs2k@u%aTYNL2urW#R%8sZ6|6
znVgsvZ;XNaRh#U31fVot`FB}96Tb~|Z{}<;#$`vNJ%WmC;iuQ`fL;;{SD5%j5VehQ
z<Mv~l!lUe9oqOo1=x`SP)FbB@<QZZ6sO$-Ukr3`|Fk@y_v#{jPv~$QGLuA>Tosk#w
ze?y$gRf{1O`W?L9Y-VDJjG&&i%PQ^RYw&)JQ&TKF8vf6l%VA@xl4^~Uj|iGp(^;hx
zEF8bxQCqLh!skm@zKR$T!Jgs9Zo^g<nuniV>LR|cwA}YyGh)v3j<#;}OlD!*k|#R^
zXX*G#Ve@|P^#I<qj{TNmy|9*w_StDmL;b^+ZFvU)GHo7(MTm2RYO8tKR4)Z1?>g7!
zUjQhLGS^;Z%fuk9-TDy;VjqoB2M*@}bc&|a3bPp)_=&N;IY<wSjJECX%m!HcZS3%#
z?{vIW>rQ$wsEvu4N9U|N1#oJv<DiLvjxMFcukIviqSDSCmUdA9<}u|GCebvMtPR{^
z87$_U?ff6v?f{L=>?i#tR6O`?`F>#x8P8w%E!)Ke2r=F1a<-p>a?5IU?luzfi0q$C
z5cgp!D0<lnG6fSPODb~2oUi#d{4_aQ1T`)q$yZAZP@#8ylA#O%N4ZvyhyK_DD~`NI
zpsbIrE8}0?_^pgF5sVjsd+nijkLkU@bGrD^HF9~v3MD+{jh&;vgb;gfoS$c^gG;oc
zW=dq|qHt5;CCxA)tT{N8SpQlJ+cVCt4%b%1Cy_5#`V88^qu%N67g?HkWfgyEcf11b
zUD`U@>0<|@nWW~}JsP-sPUiwe3k3{nycu$^)fP5I2)5RQtK$;tfw2<00<PIvJz?i)
z3xN(ky^I5DIF>NhIN_;)Q`72uuha@)iD4>pRtXtvNv9V#)+u1Gsd>2<R{#eVHo7`~
zBjJzNAw4}FiWspmxT~(r24Xk#TV}hF&@hye+@LWR2R2g7!Q2K~n*F=-TZnjT*`}(-
zIZ9aa?m>f~!Wy2<df9w`4H2CxcU+jzQpP8D(k*}6Si=<$zbQW%BIZ<b4;?mCLD{RX
zcun`M;EmC;fTm_ulrmK0V7Ce$zxyZrgV@(SY?xW(lc$Pz^c59y&l2#K#QTZt4}35V
z*;g2PMisyBc$zvApo+G8Ry$b5i+y_;%`7rq6(f~(UmkWKVp;;*`<E^sKETGl{z_G}
zsC<E$<|MrO^`~IoJs#XM+PiW7kSb2DlFr>`PDah5<*D2)Jg8l5<IOQ5;>v5QR;_eU
z!@!Uf;~-5Q^y-u>4oV>6$hltQ#z1w9y3=RKe#(XR1zEE)#Cr5}+ig`wng+TJosR!<
zf(wj8?{f>oNtma9&2G3)6Q^vJE7+{yf|F-q`_?&RTxveJ*UwrT_qX}vp48z&k7@DG
zj#4sm%W^khz7Eba*PcG{l>;G(6Pug2sNvP`Emw$iJ&ZO`<UfDPfu`n>T_8|LDyyzS
zvq~R#JJ>QQH5{N@5Ekm{YM}0z+F|_?16;YvY?xEbfr2CR*Yb#(C|uj++;D_~Wjp>n
z?JMHIif?gm9d)$u^XRUdoGnzm9iI^Sw~_-a2TjL5D{ZvOYp4qJprNQd*EhPA14j#J
z`I~}t@QdW!_d^bJY`C*hWHHHs$#4AyQu(@g$tLF60EdCQR~+81V#Ecql{@ReH$BuR
z^ysOunE1W-19>cr3zT=|2d=RU@Wt<$kqa6uwDMjfar7Y<ERD0DIQ1AHH+$DjLuoel
z87Pj%n(<&m$llhLa}<nCw4eKIgpKocUTauh;Q_9&Y^ipq;xnBFHtVh-zB(LH`+&oT
zjM-C{tOztD-}maXOfW(PQAxyfJ0FVFZn`s`(s1~CwOZ~xWAwZ)>8iWW3KUW$n&pqv
z@k@zs>AQMk4CSOI&e&PQa7C~bL&U&1<C?zZ#wI9ha5%b2)&?SFH|*K=iGeD&w#*z2
zGr{=u#!G~EHgN0G@9RY;n3x>5Y|pjBCiu^2)2{n>1+XgYnc99G7QSU9Dc%Y(!JIJ3
za^rkk(A;!AEd7G`{D#F^gL)>I_U2x(>@hpYqrE*`BgMv3r2+I$8OF%Fz2jEpW+6n;
ztnQ7vvC-dSqoU`a5q{wDFRXB|hrbz3Gx>+u7|#7ro$}iduUR@?{3|a4&q2r1?-^{g
zNL<NM9AM+{j{H7qg9rjHH-A5MhK<IghYjEISf~=x+U8~fpyIgNK{AAm&(qdz{LhJr
z!iMIU(~$rkwdc&T8EicJ!(U>mjgGs&O0}FT0$A*Kq(0*w3j<RQ2wa!YP`mqC&*i58
zM}*l!UmaK&@vO0OM<WHvi}K$l4FlA82LvxGV&W4Y7s_@pz~WWA+|tIy_3=Oc<G&e5
zr5u=PI;)E+wD<XOBLG`l{+^5$Fz{mgzm*Z~T9|8eE8pWefam?SzgxG`F@JQ4sK;Id
zh1vnTw^RX8Z+#PdOrc?Kc+ffN5i(vZ?Kcx90W6w&xwWE#ipq2+Y3U9zx6W59d-(!f
z?^xa3*FnMK+dr>a{2u`mniiDusQ|t=D%`upxnR)(ue|BaD)_rxzAOKs2<*2%dR0I)
zK<BKzoh{}{sCbSS{aqvi`h#N!KgQ^xL)E$5ud<4$k*PmXe#0K>brk(4dv(xLS#-q9
zQy#CnElwXbu!qY?F`eVBjr#0&!*}H5(9EvR$170?d5#+<$3JLdHz74~yS^+gY+rS1
z<4-%N+d$mfkfMQSA8(Pnc|ryQ-P<yk`rARZrOWy;A9eKgKG<pHEQ2PYzcT)`*g|Hb
zr~Oh}HT2OW2CQ(DLDRlHheTGk;C$Umb-sX%$*0FE%;IFw_t&e>WtRoe)i$K})Qf}x
z_cNL%$7N9dd#7}VngEj4b|@7j5s}x?pMxi5aSK1Vdd>+OxZ=FWOVqE5&FdE3zv?T8
z`q)ugAY}upaeu--E?33=(8lE3%jEH%#QE5%z1Hv~A^$_qO9Eb5bdJ&=q=1jUlspss
zv4Y(zpJ|Bp5b)EK%iqo{MU;CrMktK8g6NE0-F!X)mu$Q7US?`82Cb9VkCe57rRIN?
zCu9kjWTW*bW4ki;g75IlvwZmcUbQgqn+mQ{{(fHXpbDOM^xmk%<b%vmS$?Ltt{Jw}
z@5DL+lCBpXbi2)is`B$Qw&H!N0#3K|xu_!5Q+RXGn+J0~+Dpw?63~~^mXf@Hh!?i6
zJxrM90`2y`M<Ede%oct$vGgF}gU{Z2Mmb#IwLS>4e@MV<?%Q2s!pW$z+oR&RD;Jz?
zJ3aYks<=*}m`u%8!=Ah4k{Oa*__=2JsO42ve31XVczj45zoyUN)7u=_6?fx3OF+ba
zdh~F*P!qK-HmhFS$AK3GU(~ewh-e(-eyycQ3)Nb)`Wsw0P%T-*G&oN}*0gQDw6P9K
zvc2_d^f>VHMF!m?K&&J4?zd*%)5WiKhL0Wovjp8^Z&W(xtKo8oj;zdW`WQB*mc<^l
z1hv-V(l@Qt@m%L?rf;eN?h-UwEP7!Ho}^nJXFF)%UKOtd;sFXq8FM!$cUwaDqdUjS
z)@tIL^rmUoC@Ox<9e+0c-V(al>TmX)(n3a5%0;;y;=De+=+5~+mcaTHxl_7Z8&}y(
z*!D)z@jzuw*lrdF)MX|#lFf9nlHkxew2y&Ky*K=Cujjz2Ev?~7>3S&Du$XXD%+dDW
z6{R619Izg{R4OBHfQM?Au^dua__wYz?T7*wc6^P!_@vDMrRipeUSx^+w6Fd2P^?%_
zvz^bLOsAmtz4RBPEJK|9)%TDk#RJGPuDlscMHK~`@xhZuc=i2S`%4)-*xg>^zED8J
z%u;S?Qm8Qoi=64g#e9%({i5?xfsW$_d)*#!Owd$UH#|_@3d*v3CEmWKqtVp`pFh1c
zL4Hxo(_V3&O>G*VFP+c8d1pqJ8+)4~e+?<*?mcVh%il*G3}j+?T2K9Op($1+o631q
z*g)y7Tf*CFEW9Vj-=X}#6lIbZ@`=|4;HJMb{89}Izdw!dPAxLUm(6o_m6h2-|Fikl
z7oFKS5EcIHgPSQDP8FoEE9~Ihn!?jBZ?Q3ePdT>uwh3ko&MurN6N2jF6W)&rhG^#h
zZa<6~;{$SJibcLX6pW=m*ydu0Kk~O!-g#q$j_>t(#3LeLLbYP>dPDqKMSnt1H^fo<
zXB=50fGMhux2=~Unov$2(=lXYJ8#`-MgoA;qIqrW7>2my_D(tDb4>g?%`g1)M9kr7
zbCPE#8;jD4PBKU6Xcy&_KP~M5XPi@MnSN|s5uL|9Zc0Oy11sy#m^#3|z?R_a%`Du$
zT6K2Ab_zZ@djC(pqXP`Oj=z4P$-;V1nSIhR`lxZJ@p#1|2WX?W?2&e7qUWJ;wY^*&
zWUokj*(`Jb?m6S?3sDSoFFL&XAWiI}N&X%_bO+Fyd=<%0q+>wk3;5@zhS8U1YKVUU
zV99yk_*5Elq5`+cJ|d!BW39|H@&DfqE&T91lZx{vBAb}U33&XPl5TVgz{ztv+j?^-
zm>q6%D4e5=M?d|RY+eBnJ~K8xU0{F>#7IqvPYSrM<oVqQIe^Q$oKe>xeatR2G>zoS
zp>QbI>Fpj7B-nE%b|i`YQiAR2t#f4X```n6mACc~yQrf?=CL-K>96mp@{&f~Cw_6c
z_V$o$uM<>E(ZYly<wKx08;9(cA6lC!1eJpaCWvP>@ON(8-AA^w@Zs~x>dI+5xGyPu
zWk6R)r*9hNp|w)@`uy{$N8Wbe#&_-h)k(%e`Z`CABT{(pNB3A<wJm(pe{-60iG-Bm
zP20;;rEu?b+`u7CTPXXdpjMDf#CLwn&$|ssq2D#nqQE!-JXn3QmX)E3y+t#{E&;Q!
zp0b=6H*5orZ;4$q4+!XJq8Z0lnvF>r{c~vUHXv-0z5z-ER4Oxmmft@cZ7<4EPKxIu
z>_TnlM1%?+$z2zG_N6qAc~@wD=UM}EV%DnRA!U3k|EuchmpM3ac!Id=nicG2hh)2n
zb48GU!#hoeEav5=%ynd2!JoOiW=+H^p<RA9M<!Yh-S^$eioU`J#)#FttLjSV^|vH&
za8MqjsdhYpDIZ?2k6%vdnTyMxnUk_Z6>--qpReUrJXqmtCOy$Q7e{SY%v>iaA!grn
zly?^Ag7hbDP9NuD1D9Gn=cO_>(5izXUvgov?RUAG*axgGR1cZyQNb*iN5~H6!q}~^
z61v$+81#46CSsr1SBP{xgO#~p%8ZI1=PBdjFl{%{gesoCa)KUL!2u6@?%;|^Wn4!v
zXgxt9VW`v5dh`?f@V4=7GTT%Tn>nY*OUWpC;A-0$B@U#?9XOx*T?LyvGn^&T#QA`E
zzhm=5OPKc|;o7ex0v7oTB0{FsQO3&a)q_KpkaTvT?^-)m)QZb_zcpMFXWG`T5xQD}
zC3Wuz`JXC!bhgqaCA9HtN5q`nx|X16Ts#!jO~jC-jJ<7FbTC|2Bh2=f1rT1$RQETK
zFyo2CyMvqcu;#_hbe}gCaGbN}Ue$dvDv)zBE>jG!*{_vwuf+nKRt}6W?NP(oy(P=P
zX;JW%*?*h%KD2<`;(|@XavIn&m8dx1fQt8DNHvr`wSe~2TRM5Jnz+%<ef~3Z8V(&+
z*G~Fi0gU0FzqS`@VSuj3?A=S~7~QW^7pQCr4^>BFr`2?@AWf@rUnm1<(yu&EEV2aW
zc;chP3|)L;QFiNGDiaUB31qK7YY7Jy&B(}e^>M6fl3&xvLdQ-2Vg-|yP*(Q&LqM1T
z-W?zx*Zji9<m%s#JvMXTef7ot)k`Uu7~-a;LN-FiZZ-8fao%yS)O#FbPQ}eWtoI7$
z#`rSgw=pl33oT7jdnz<&$R07jn`&c%H~n8L>$&mZlw88npHg%jUU~5D79&&4dN!Hh
zOclRF!@_T#pXq4!qp&;qw<)fw(Kym9X9dbf&C=F)FmP&o-nX1fX82=UL+@8<Yj|95
z^NUl;#9W&lHm2(HaD(ficPb<ski6k66%)t8o|!Kqmd88{(X;LeH5Wj1_NMYAAsgM=
z7dOT%n}@d-R`fWpw1uZb3#u*;v$1h?*4q48^H7nS6Wq1W4wf~xr2mOD#3SxnHa=ly
zIQ(Cx>A?aa$gg>0tTt$fne;(#iPNT7Tt=@GG}=Sl=EAK%<{4pozlNW|Ruf!sB_^P>
zO$56_=SOeyGQvHvrrV-s86zdE(|^n#;P$3@b8Os=kd+}?(iI@qneyEn!D9fs<p!-A
z7)E$$$MR2?&$2Mp<E#BungiT%`Ke>})DRU9*$z4uFwpAHA>0`30O9AoRTyrDIFj-@
zX;uLZy;LGcLem^zi92Z(v6PKJubf%wluN<Gx7V;PRyaV$*p7;>Q5Gtldh}PuO&<$;
zi|?h?I)GfgQ-+2d3)fgLWLO>3#@NxFU#dzSU`)ayolRik@0jH35D5(&B|3d;KkWbx
z*3r7DG7KC@DZWB_Kti2^>$Z|NI)ER+B1qyJ4adghSy}H0I4~;cc`eqp$R3yU*5_1Q
zx!LFHrRz%Ad!TG2`V+wa00030{|uLRIM!_xfbG5a-ur#=+S_~Vq-0k{MfOUilq54+
zQkf~MD2a-c{d<Tc@tGkzLiWz~`S-cb^^9|_^W68zJlXJ=qFfa1UfJL5aiBwPHy30j
zasVDiob8u*E`mN3>1ua;ph8~b__W_v04DuRZ^hY!k%QmM+@eq9s3MwPcV?3ax2JyW
zvhE8Y=if$pI;TjHk1y}!yQ4&Sbwq{Cn4BN^v<HPXF&$vR_!Hk_)AfOUj`c*5Brke<
z&ml6)dl#cw@3eNA(t|sllV&2`+$g4C-0(@}Hr5e$d$(Lo4|K^RLoWQ_L>3`uPJVg3
zg)MQ`KCg+@h0q7>xW~2}2v5>;{Il#9R;M+ZX4Izx8SkZwoA=m|jJ>Mo$k8pVC8A+)
zQeFqXam7eAerH8EE<A0==oXgwS#^OUP8<03Uk%q+u%OLj@6THGZ)41&V>LVzT7Z8&
zY~cKa8SVGS=c!BXV!$<NDPf`o{{9ZdmsS{&(@b`wLHQo0F))1Q)EiAWa{o%{^aBRu
zA3!qwGyVVziOX~N&aMfU9<WQ-y3r$!F`@X8CKAM#OVb%2sR3iFhLOtwbm;s1Tc71|
zQWW_023^*wI&fLI64Tz&B4ddb0}5_(6y9^xhuc>jZkx5wFZ0tP#qpO{EY49N^A?7%
zy$LmF5*K)SwSoqb{1P56#wd~hqtP2@-PPdO^Anz9Q8dVB!HK;@jT*(*g(sYtR)vI9
z9g`YYY0xn6HlF!HgOX(DM<#+)VOEo3tnCpE>i;k>qvT76l32Rm>h7z6rTNd<W8E}p
z^_%t;dOQO<9m;HVBT)qy4YFMdb!ky8-Cq_FdL|TjcFwg`S_PCcrv}x&)1qZhF5L|Z
z78JE<zvkVb3_RJ~-SJ^`XkmeDB#Dz1y((&0OYl?%?+As}1Y3Hvmgv7Rs>z1l_SaP2
zXHo_k+k~E*Cm2v#O1ZFG5IefU+|yK3tpr>DIkt8LF`|1FacpmEIFLs&d-a2hN+5pf
zGdfbvgs6+2vY!;=LYeotZ-vS$!N6?!zW{a?g!`4*y^+O@XcjA<axD|US<#m;ILv}p
zqi^GwHF?qZ1v!kqh5$0BGurtuR`lqF@D}A9ANq3ThO6LX0-Qsi6#jf<L%)V^M6=ci
zApO3h&bW&NxXk`j`T((`8Pm29vA05~JVGl#)rkPvTaJGC2@WK8&E(94vk3Z@Onv&4
zH39gPW2+>ExllpakPz)<Q6y>L;M;FUfD-Mn@_U!K(TR<e>q=>2$WO0vT)>L}<#Qg5
zKZkjc-bcxn+!k?kx%u=^!5sp;OOs7Ea_2))A}=rUF-W4<-_l1UYYFhCMu5MXOaNWp
zhV|l;QmCV9#M6>W2@L5Bj#pO*qD~p9u;M~#w7dP?cHz7dbk1iPsKg5++b`x6VHC0m
zvX3dZ^(nyxvJX0hPa?>)J-#czMGmo_U(v}ttd~XgeWTtFqR2+Dpzi&997+kF66j}A
zfd|f~TusZw(Bv_^tJ*(2(!G9VJhM{;j=QHRNY;v@km`Szi)0i~nQE~{e2FS7ET^2m
z(JX-~8$S|rbQDp<*m>T|#cD9?F-n`?C5gV~J@M>hBcS7ECpRn_)xl0FEz7P?3Q^#a
z<bDMZ(6svH(cU!;P_)13@u*W8wRE}ao+%)pj+^z(x3#n&zD$0*w^|0_6w6nn5CLh8
zx<xr8XoK<3^$OibvWUUW+N!dMfbLOqi?+|{fGuD2VxGAinnHQh9f1U-_B`r~%yB(1
z;bg7k9F;><`to&6qy$tbw487+Ump_d=9)=P;81SZzUXGF0=iFk-RZ$15xm6*WeXqS
z(6g(T&ruu7BO|V<DA$JoN$g~OkuPyby!+$o86O<_N$*xw#%Tb8Eyv$_#^TVE%6auX
zYgu$D*pZ1L&Hzr7^u$f5;Ly3i)}m~BY4kMt5^3hB0nAH~Xd8bxtOx1!g6#qc#Lyxt
z`c=dbX5I3hhLgyl7)?>?ZlV|(U{9fCGc$yR5po?yDOu$C{6v0DtuP|sqZ?H13?U=>
z^t&u+8N_T9bK#T{KkA&gd4I^<5MH0`ZLd8%Zz9lTH)oj(?OUc=+>kQ_?5@yH?|w<7
zx;#@l%Epd{Pupw!+cbd8zaeklr%Iq-g_)eM4VjSxE;lKt+yD%Ds;0b;i=*L9Q!yVC
zT68g}<_4+10Vp!pu8fd~A$~<>@1qJ7s4=$A`Vp4_6c)1=zxynLR{SN_BK{s=58lbf
zeX0bA$DNQem={8dcH2B(*|#uj<&UrP9RZ4mOB8jZ1yBY<JU*~&6?+%Kd)<AB2;GE-
z_LnsHknzg-vByUiu_6E2tB+-gaDVZ$oi7s)x;AsYg4g#iw)snPpZ2^yq{p^?(xB%;
zKgrv;4R8FxyxsNZd@}VQt9AR`8^uGu?EQY=CqItec&H-ZH>eA(nUU<#VQffmcO?0e
z)^F@%OUzk*VO?m<T58N)W<h7GbSMhX{l+X=MzcP6=)mhj-wUAv%!j<>{4EtQj-AfB
z(=h&C8|vumS}1ZEPzDhv5~=hDlaC;o?IzKNNbIe~ogg~YH8@{#Dt-zJJQI|jV6O$V
z)|<gfF*Hc;ydiU@?F<%TFE&N{P7|VPo}T#KM}-V=7pq!s%wtK?cqMg4O*j_BaL>z^
z5_Pj!J$MkZgh>+WhW9RLfE4y(I7O8LolR#scg|`BOO8${H1Ac15ArM`ek$bXz@8(E
z-*^qXzc@8WW~2`0!QB|oc`{V_!bjB7Y6E+H@=FOvsTz1NZM_pfq^SAbnQoTgP0U9#
z-9A8C4R|a*d^R;BMY?H5cFpg$v6t6>1np<3LhbPlezZ=4ltdhqHz@Wnk-V_X8Ua<X
zeP`><+)RSL?I~$dTs^=Hf(~k5K34%PcRMORj0E}b&dqR=lcLBP*%KvVD!{=Vpf2%~
z1a)qf{d(g}hBkAJTmBX*L+_(!<Nq;`B9V82|B-zsM>%)aWbCw*;aS(iQa(3QRI%$}
zmUo;IC77@Uk+dkmYTsOzQx7S^NFx(Y&rl&LSH<fTu1aw9t&I(MlA$KN@KdoDhxuk&
z>%F-{0Etm+zwaF6=wSvAtL_at<Sh~Y@9|Rt<gI=Bacqnnbt?Jqb6;gZEH!Eug7pco
zogB90{euE&?nS?JPGv$~1WJXPHbqFd&0@yTONrdo+~$HVvLM>E*amf+BK*|Oiw_{9
zM%2`7&mD>n`2)6Wv`-Wu+tH(k)`|vIn}F_B3U<_Ym4bzVS^@g8rofy!T2y***Ja}h
z2TDoWSvQE62coVbQaMeJWTH$dsVTV->zw_kA#Qna)X%ct=3zu$?)~|FrQGPMGhXND
zXFTxov>UmRGov?&&t5-_;YBB{cF!n#<Dm+(Dv5l+f-GzX&Z%7IN8^2(QFrioICK2H
z&Cw66h!#iZm-<8y9ki{+BvIi3r`@3&xWI-mEs1Tt9%0nXr~PGR69+SN#yCq;4n(nR
z)tx3Rid@dz3(Y@_zdKR4rd`R2A`cc*X1vAFeECobzX~3%agCd~TX3V$e*8z<ui{AK
zik2Hb3J<Lp1<UKVc~Cf|quQRjB+B7$rV!c0L%GnZ>Fzf^MDMWfWmzGGtU3>ly-b$}
zqtJs~!%qUJ&cDCE@~8|-m7bZb@>2l6YZP&E^+Jcf6;^Y1N*2AWEy~KetO$o60D0{d
z5p+!XpKSJB9P-<|Heh<laqZ$;g8QkW=o*e8Sx;Ub>9XAot`ks#g4z06p08pk__L^6
z_g4jEG^3g7PofNjBn|Azo;ZSp&#x~@5s=I`tZRZ=1<q(iIP>U8BF^ho9k==kNUv~|
z`>%>B^eHo%JBLc4zP|~)Ay<^pJYkNEEJh9bF0(#o{UnV73Y*~3iW2Hki6WKQP=`2w
z2AZiU8FZ%lYF611Wi(=Utl8nVCbV^(mU&JihoqnJpWVNpjFu?1PFz&bhP5%}7IhXJ
zN_U*T<>so425QW!cK_&r)|yU<*~THipV&rT=T=64PaO@g&eenDUY4J(CHTYmU^Byq
zN@!CuiDA!y2razks~NiTXlCvgS=%=PdZC+kPUi+d=kZhnsRVg6pb|iT>Y*Z9)o=QF
zPs;#OPyQYp%#lawU(KE`O3I@%-~Q<f9rEkWWewYgV0qNMm)pMNBZt!OGOCvP7(((2
zmyZjTJSuJ38F~{ejjSo#Cz3l2VSt%~s{RxnRcqM@Y`aPzF10hVQ#?k{kSqH<HVB8@
zc0aZLcU%;8so8E7>l(pA5sjsbog7k5%&RJYA%J2CCBI6EMzF}(J@Je|7QO#*G{%>j
z8_iICjTDzW+^5<rIU`pZ<<5G3cA8>Ev9a!j!pnxR6O3=*5RpPNT#2e*KG2~*<lR?|
zUmHSN)zqt$1PK)KzNwU^l?(|C1;=ThFa*cHCtT?NiJ?UUAMQbuP3#Nz%*weL1DLdY
zIpF3him?7F@^{Z>u+W*1=_fZ0!0(Q^V$Ew|WR-NxC7!1f%e14XW@az|OWz068*c<q
zrB`&2uy;LCZg1|EXBvQhlCAr62QSjId~3*EJVe~}u8K&M03b54cod3rBeHyYjZFDT
zqRrR6(WUc5P!wQ2srQlt;eO!lP5Ebu&;JR5e6&9N;;E|tZqJ6waqsaD*cXU+#c@W~
z*LpC0;g;vVCJS=XK@I^o7m0f&I(W-2T`)N9!u#wg1InKFakeR0Bzhcte6K>O3zc`=
z3!}tnQTOMdF8uxi(Mii`{D<D*{H54me~yw0;md3a)U)S_KS^JxZiQ(>=ROPRsvbGI
z?{&G4|HmxR!Zm8=X1x}a<W~<leI-F0H;W3a3;z-W8zdRnnY5tIn<TuCu!lwa^x0oK
zGeu0b&CvHds|gKF?<y*swlMJoPtEuH6GT%!&Izqg8eqyXS++*9fw>#ipX$l{O+033
zLZ;590kZNRMecK~Vqt!#v!5OtCFVcNBNe!;4)uHZ8oql=*nPT{FBIZ~#IjIZ+u}Yo
zXkgbd{Zl%J&D^zS_nGP?;sry4$_&+j%Fl^-ZebdmtlRnOJ>NzAXGL-S;Jqpk9Y?BT
zOaEZZ<?Aua8tp{OVvC%!;;InkETuiN@*9&5y4;ZepqWVdZ|6Z#x(cLfIA^3iAH`z!
zHDB^8ej#@A1$}5>SAk!&Lcd0j4PmvVXY)H!D~VoAA!X5zlwoBs{J07EFYKRl>z%tE
z?}%|&*G3DQGBBQ1n9nlr#hjVHrWHD-5XI?LI3iP(fZZj|=__Lo208;z_sSBmt#;|e
zcwr@Qd-<Muj@X4Y)DIeYx)xw5p$}r3-w=RyF+145vja<fd@j6-tqhYgllH)C5uj{*
zYBi;z9aG5Oo<7P`gB9+$W~wDC0@Lb$^*cZR!}KGIqjdu7G2;cdru`ZP5Vp9``v_~p
z?iOBlozwk_`To$bzc(ijls~OzxP;p<3IV%^MwH*NwIYS>QW1H0S*6FSKhugO?N=1C
zcei33M6p>LM?5_27+NOhX~X=~KKPLjv||Jx)@Gx09JF<+>j&qwVT-le9lr)Tv8<;1
zkIxUuf&D><N=W2?SnasVqp_84>>5*dMxvA)7;_oB+d8&msukU-;ZnU=>!r#2Z-QmP
zH#adQS)c>ctV(8poBi0dgp|kQCK(7D>g78@-H8bVZx%1?4PeZY(J^wuG9c(U@p_xD
z3k%#~d7Arf7!!COROxU-8WKL{^_8FM#uR72eVqF-itWs*IqeQef!E-=m_>aLwyq#O
zW$N}Di_{EtCNq$NkJ@2Htd6~yLI(FK8G#8*^O;eo^&3fG;0$i07w^ZYJ8x1bAN;}Y
z1n+xvb4$V`<&CvpA_G{7rD?Ap%QPkvpG<n~jsygh5^}$t9Kvo_iAveo&tQUFQU$mJ
zafrPyrPuaj1mg?8=d;u`hjE36CX8JZ2eI~yjsFbCFc)I7!^q=BZ2PUc+`|nq*t0q{
z=iKlc6Jc{S_;hR;QyaS1B!5i|N^A|O$^$1b8b{%w&VMTytECsAYEKlh*H;oqOeZmg
z@^Bul|JE=W#(+reI8k^fV%OedIgRlg)9>r)-M}_qRVtKmh{E*e4@b@?%wW2=&n*dX
zZ(;p2SB!P@Mc^afs81l>JeI{EKFs}O2a|sLa_O&*2>d%YyX?`th>7_xrChPu$4E~;
zY5iI#3{U;ngSC8?F^lBI;^W06h$;_r`!p>CFZZTjH*&3FtBh~-2M#^ZG0m7=Mo|cc
zrNwo=EU#ft@;hz3v?$QeW&iwdw*=w#0QCjlgAGjKd#Lf;5h|pyQC1r~AOP*`^_}X*
zTUelL8|_3Q4We(0F*Y(10M9!*;et&&Sl`aq*H+y0NZZ_-?{PUl%+~wmT}ar+0;`>E
zzWioHsXG~uIQ95J_X;(0Z956t2op^u++;yo-ec0UoqVvn_f0}Fh77GeexbLb%!bS}
zQf1$V@qt(19rI2P3N#mE!1{xW1ARJGKK4wH57tCt@rj{S$jYB1SyG-0WjOty$>ZgN
zxIdL0iA^+Ux6aP=Stt*B@Iy{8lamkpqcBx}8+t^dNAy}G=SSPOPAU3p@PRswtvsJ7
z6N258r=zWcNPtqnL+v&nTxFJPTzSTV<mMZSq5?(GiF23dGwAriBI`r%8*4Tc<#1o7
zo=*%-T^Lc@YvYID{epB#We)VMTnOhpFOE#J>?%q}1mJpkLad1a7b=yF-#RrViOR{Y
zL^xOoLE!DubJwGIkbcg`^d=e^G%Iz4DTGx7ghE!+%r^Ouvbg4mm6aS4o;e~$t0xNe
zYZo<Ny%a=BzGp0oEAfZ^E_WxeR1CIsC+!T3MbN$cM^DHN714^MPS%eI3AnoFACui7
ziu#$mRudKoXuIl(5Jia;<X$R}<hw48didn3t%=HLNL=hAot-RDJ<1%}(2zt44XsHM
zcU6#0*W;h#m+-LjM{ORXl}0<-2TXilR8i7#YArSf0%#e2vKc<~tLn9}-m?R0$hqEI
zE=)ohsFgmYm^8~F4X;_aUZ;*itIuc*Myi7D?6+rnxp?&3rq6K4RRhfh?EAkI(t!5u
zC^8Rs1;jINv@ri#14W;j`e?tX1<bFe`l$~N-y;_GWh7byS>3QB`81{r$LKX>mfsOj
z<>2=VcPG?Q9b<D>?;sHdVs4q?wUtm+vTNj<FKX!i6Q0x3t_E<kM}X~avJ&!mW851k
zu8J%)b0(e34Iw@9LdR^S5>oslqTIxyjQo07FI9{i0l5TGFEdXGt<c79t(YjH)^SED
z*B)aqY0MNRwNpY7KPW8IR%FrnfI08(XcIWQ=kmUziGcbpu8x`qN}#9+?7QTw379vX
zo1vg0poZf0<=H(!WF9~zq{3(l{<I>gm+%T`=w7i|Sv@;yAHF;=ykr8B9pR$2<alHv
z9&SC)K#5lA{?a67n}8pmGK$TYMGf>Ll5<QGSfg=GvX_hrxGlv}9Fvts-+12sN&Rn$
zC?7>~JT=J}oc=D@QD;dY_oS2L_4?#+#k+A=Y{>{FpY{t$@`$1ESF;ZMCG;TB*QP9G
zYy^hdA<YcN!iYMk@kS6OE5uY%uslgM1oJeCl!ga<C~n*1gs&w#4BCfpnlBo_$*%73
z34Shgx7AwFe3%152Hrb(SQ>zW^h3s!f2`<7A}%p)kP~zai_bp&1VD1{EiKN10U3vz
zHF)@Q!Q*0$h;$hMt;O3Ba+Z{+blj0TsgMiU+RC^Zj}XC`(#Y=U%pO*}Y)U^?!Udfp
zGyTlA`k=iUA8L4M1xs1Uv9e6z0{z5Io4P<fki4ot`O;t%`*XYuRd{fL(8!HUho`#W
zJ>$5t%~V4CVc&NmTAmArD-SBoyLEu}Smky@@1gf-pWnm%<Ah>Mc{_Q29T?rrUoYxk
zBC^&0^qXkrgnZ8B_NoAFV2k6|o{IiQymW2vGIb#*oI9V{H}qW#oC>VBE=TVXX<H?q
zL}YTpMmFo!LM1I&w7*Ela*Y&JKVV(LuQ(yDLzmY#M-$5UFSE!mkwY^<Hgf1IC+wZu
zCAq_^33K5^g|}6ypqPV!o#lWNj(Ey5Jx|vFN3o3$-z;f>sq6KF6e}(uHr&m07S(_W
z_y0D#&FH{oaL9D4iVMbG#WZKUSBF_ayT{+88K9RmxG>6q8-m~Y<IK&}!I!;0g<^vd
zev(&PS&wl;@%hB#et*<pdxm6Fvw|61!@W<rXYc_2uJS9Pdus58H-oFZiUo2We_zVI
zzzbVFThd9IYQRr-$CWXI6|UcWerLpm4-)ND)mRo(!B7oRG2Uc@Mp`F)uLnOU+jEl5
z6sm%b{Y25kd3Fd2Yc-LN6M&1qNd@m+QiT^emB~@o9KdYf!{J^h2x$(tgf1AW0zJCC
zo@&MkZ#YkmcCZTrJN0cdaRF8M(W0}FZpH;o6G69|^+n*x#>Bh{i7H5STM5+Ja6_VG
zMRN7N2%KSk6BE0r0@`Ok?os*jz>pPH(#|(g;AwwBmo=jTkFd{pu>@WqR&@o$J`;nS
zP1+o%6&1L3HP0*p;{(x;8rp1!9w7bUKZ*y`s<38ZqoBXf4=WK5)u|jMV6<mBlLn^>
zM+OXng^mispVvOg?jQ*VCq#y_T~uMFpWiq<R|ssAu<3dkDae%DzAccg3g?sV#7mHi
zKt20k4Sg1Akh7<3$E~VDHfrx&uMmOnIX+^SSEb>m;<W?ElWMT|$DsH{uqez}`P7HD
z$v{Tr@_VvYH89)BvFK6~0~95AWZ{`Cj0<lrs@bW->q7qN{zWkeY4{SfdRh+btiv0N
z=hR{3?~$vOZ^c38^zxD|2@XQcthFkWHQ<l#nw^xV1lXUkOU${8gS7iqhLV<=uvheq
zA&OTLzU~UIdadH%Qa*Dgo<j@z_&W9%zDUAT2mVe!H9Sa-z5IRgj~2{POx8KNNkJsr
zlj3y?JlvvD^VzJ`hQ5T8caoN+phWO0iG&Is@@SQ>;GgS&OjgJh??7qra(Ps$KaGPM
zv0HH)H*_IxmUSEJk%rOr3xCOdaS)p}SvBCG2c%w8EsYW~!19Z8V4_?O8Xo<Omy^{8
z%2PXZ^rvM&B*v{zwpSKx$ub`(E$G9MyN_Gn1j&Gd90S|NHyPNQB~cB_A;R77#?#)u
zGGIt?j#oNK8a%Jpw8aSn*xgQ_|7IcseEJsxSU?I$8S+}&T>*aY56ttC%K&@C2Xmet
z3AibDZOk<VV5%VWQrHV=DEPBtKy(&|B-2{bTh##16eB!ZWu)QMj+#i;uqbHJ(~8b^
z0ra-?4WuVaf$oV^hXr>L2=%Uv{XGak7Q*vudrlH+f5oxNEC_;<j@w^`K7juQ8n%Lz
zB|+lLQ9_{xKSWMFy6y87pl5wVt=dNduG>*=8-L&d+nl`$jRF9ya+u>|ia1nYUgLXi
zTtE}_cx*TlAWgk_U93h7vQ%|naoBJ`37t!0uQdQIe@t@zs3=g`RuVNL*+5XgL_M7k
zz{a(PBb7oFCS7(Sel4-U_BzKW)+!<t^7I|7;Y8rMN1dk$kr~X*>iS1Dh_KpN<62!J
z1P5L9mvT87!FAuxccDlh@=NEwvkD19bIi|iCl`9SwcTW)FRTv*3%yeD&-o#2U3a~O
zkq)BBujSl%pa*!nkT3sK_#o{}wRgE7Ey#Ux>NDKdg(n)ZHc{g|pt02K+#O8=?~sPw
zGf!PO!WKE3SHulvM@r(vHE1Bk@l{M>mk#V%Sen^9;eu7+t4RimH1Hp1K+ueV4k(z5
zeA!Rpgn;#rw;#FFK;=DmM#~ayusUnbgi1Johm+yT>2?~hr=i*=N@~Nj{&bo196Jot
zM|HIM)52R}x3l;REr4NGs&fYHka;thm0OJtsPbK={15xWHxicQKCl5DroBa!qz8s|
zjvvP#X+mM_olY_xHfTNKp{}gW0F=F7IoQ}VA)x#sztAu%R1Aoo&A!M8*5NGz|57wy
z*|B=CIGq*96}YEXo0;I=Bz=sAhz5Kn-wl}cXNAq8e~$%3Szw)V@fBmSI_wMQn{l3G
z1qw~sWXgFKxV0i&R|e`((&uX!ez*>~i(}X~R*2&KU3=khPCqTw?{PnX71VK`H|~5q
zyl;BMTErDKkZ}1OP@TpK1-JK1e!ORgCzxn~8jl)y<on6K=wpS__3}LCS`J{OVov#u
zR3UBGsdXOD2DQvdS*wS9kIQy+n!KP24TY;GT$9;=tdrkMf{7bWdZsVDkyM46R?5CU
zR(4oCmLqRv!vjjUNy%URRyoW!!N@3=9Z1*QBKhC&g6g`r$JtjZaI7x3Cd-rqxbiU<
z4laK1M?41J!78A~_St1?p98LDdpvlNA^=wv7Ii$2s({v5U6E@GC%7>U?(g7)z>+o1
zidjwtRt#&XXAXTrKHc#H^-p1V<r!^^<4^%F4bhy8Y;M@RFaJ;Gy9mTqXWV~6s{)pc
z*Tez~c%TdlPW&qog|N(*Udr?;u$s^KO7|--{0{&C|Njh^cR1Bw9LLS<?3v7Kuj^XZ
z{JyVMMv8`#G8+;<v@;5&jHIDLh|D4*lnPg5L_;AXGa6J@Mn!)2-}9Vvp3ixn&-uJw
z?{#?zdrEQ?uo$=cg-J>ea(tp3)eBPi?VQABoS_JFK1vF!kseF~%6IQEk%l{8g}-nH
z3E!jkdD-~rVb!_y`R=6kXh?VQw9ZySG2a!#x0!lK*;5~vuqcC@{$CU}7AV6a_N4jU
zA9}c}o^V;qNDd{xPmZw^t3YmN-E8hAeK@H-QrY!e4(Dt;N-B#~F{NB0d5f+Ob0x*V
zUvznVOM5f7l&yw@P+yOKwgzxt7yHsRK>=2N(_8D})X^~cV}@tM07U85y^*^V@i6UD
zsn1>w<ZmgciA^*_dBLTF0?H(?kySljh--qcb=%EnPDb#%S$N%giiCvMhZT>NY9c@E
zyRD-f73)dAqgcw7@O>%f^e=fWw0`DTr_F4Pcmdz`!9&WJ@o5v~*sq1Koh`OEei}m}
zcH23!m<kBiufK#(XkkN;-<`QJ6ZC$)L)R!(!5_6v*ORtrp{jo)<@b;&4*y-9V>M94
z^W^66fGJHp5U8_x+-C+A^U!&bELFH~PVPMEq6zVr>>TZH%we%maz<cA6~d99=L=73
zVEXU&qU34|&}A2YYAUFKYIdW-&R-ql4<`f8UnOufgvrvGq6R;{r1L-2)bJ(h6=$V7
z@FkQcXd<VE2cfb8v|1G;W=$R)iU3lco(#J-sfw#~563&Y$`H#EuUTvWdRu$`vL&mc
zh3kxOd?E?98$0$lE&+jRFHUL6sN%yj!k2Ye0Ro<t!G+Q^yu6$}csW)Dk1a2)9VN>{
zLMrfIz77pFMO*&__bDSpfbB?xm@HBZVhfxpjP(sO%4H(Tu;R@aAD>zW9j>hlWlA)-
zI=vfBGE+jw`m&p0%Mvg%5#FxLL&ILlgZ&qFkZ{}6?1|Y1G5mLF_V}?eV4{9sB>w?L
zI5++EO8g*<W<%dJ%ZGs7C!2$(LKM(DY4hkznIOz&4n}&O0=CU<Pj3&C2lti-6t^ON
zcxM<rJ4Xc+rXR5s#meD?ZMReWMPAG{%^1au5vYr(JrPfpMQ-}pas3%C?54e8<=jFb
zyZQCE<iPbvOI$v=ZGZ!r8yD(UD=qNynfmR4>UA)+vmYZY*I@VzH7{Jk0?LcziLUih
z7%%M%4HIF<o)ogT;VE-`I{UO!AYB5<=RJn~H?qMg|HD*#uNj`4Z4=#LERN8dVN!42
zv0|95F!+{<8OBymZmyXV#omQi?-UDJ5qXmHj&ZsvHjEqWZEY99LR_HUNIfgW+U^Xl
zV=+bO^H`_oMqvmqJ6uZ@VZ&molUJjk3CbHq#;^4Wp^QaokS~=Dcco&5Q#*}uyz1(j
z-D`!g^;kZyq9Z#te!8gs!_pZ0Rs&MmJOpw1%NflPr8T&Fc`RV1f{K5KB5G3G1Ta|o
z`j)#Q2R`)$yRNEJ@$2+08_}%-ka*ch&Z2SRpl7CmT&@xNuE-pG^_3smTVn2{MsT5R
zHZmes(FkJl<(K*P@WVLHP=C3H8!PLz&-&yUf+a(%bDoJGg-tD5YFl{W?O$=@gO(w>
z;)nNFzgvr(+*f3oF+N-{$mSM$Vt_qCv6pM!uEkxS4i5KZeuSUZth914z-aXEs5`&c
zqT!3nm|wX7^xhXo-W|~g&AqzT+>syL|2V}a3I(ykr7-kgxIT7g<`SjN{1}x{{`9v@
z2sWe-I@2=xxSBWNUuYlz&)cQlv2DT_l8U7rZ_-0`cHSY6Gy&LI2d!RR6v3MS?@o`S
zjCn|<$B&5!VpCS!Yk4CvRORRBNvP>zW%}J~i)=x-PB>C5<Hd2OhCV1cPQj7Up85nU
zA^dVX6t(b60;AkQ=F<ffaQK(yGyfI>cWHi$`Y|aS`Zu!0_!tH2?>Q6?KNrU5v$|h%
zd8HAV8|<2IPeGg|h5JO72+}L$<d&W?`cz8NltrC_(u;qFM3O~uZozWj{%Bcr|9w=Z
zDnfzp7x5gn3^DxLQqSX8CWlWczMTTx6quDi={@^Q9Mj7YJ6;#b;~jbTk7iy9K92AX
z<xfjsN<kss>Y)M#%-fZN*HbWe%jkN5i4^hz1w)z|6k#v9T54%dfk9SLaa_tetngiV
zJMfVN^PHBEvjG(JdIhHV@vTR7Xktb5vJ$NCnA99Ep`iKpW;VfO8RWmZ<j60l0-w}R
z4*qO<urIb!h!K|qvE^^AthFk}@+3&t0`$OnKv%Z#yBy*V(8S|>)etM*lC?6ahuqMJ
z;p7$uN1ir|Z3<HdnPwjzepVlz*IEKD6)M2;WJPe|c@12c_kNq8VSvp>nOWYK6!GA=
zacb@<O<YP#RoD7qfMa2s5fV(o>E^2!sm@xE-E>v<MWZ1OMOxp?bWy_OUDkVnY}%;*
zyil=HY6Oe2!=bKP%1BZ&<1mlchL-F*jk_gO>`~qxmA0aczZYiCwGU|H^q^thr5a=O
z=R6V;uTz1`vipn0U)l&#9O%E%Z32%u9%mvz6?@fK-t@lIMrJO@y6kyV7%L`ChqJ07
zFwOj#*KTc041E}TB4Q5VhRBqC;cAeR-MX<qM+<WkjyoN-EFf8Yf$c}P8hC0lw(Kg<
zgb%NZXAqS@fV_rh5wAKXGK6kS`DuW^TklnYIN&7S?=3E^jtm=a-r{M-x$@@IZRde9
zWr?rFtm-&8W!AjeRuy*2Tv4At0hKMTUh5mwkapXat?IZk@<*GOhZyt!WTSGM({43P
z^>W;nx=eznE4$mCgEUYz@&r6yt0I2Fok>4k0j*tLQ5^|1{Fhr27$vKU17(9-ogc{I
z?xUqcC(~&Np|$+(a#6u`+coKO>Fc4n)2@-0M#JpJmj_7!%J@3TQ5q>Ag}olHIv!l0
zp<{o>?wlh^aEYJ3!qzN?<eZPa1->*yr_lFT`IDe?B4d);E{qd(o;}<3Y4|Khaw~9C
zMC~vCebOp|aO)Fwoo4XPyxjM7q>Ta^NyE0Hm3;Uab8k4e0<bvn*!3fWa~gy9(wf@1
z;78XS3iksFcD_(-k&}Zq``+nm@oNyP<6~qe2{ik<{5+{E1A&%*#c#i{V!^E~UoW13
z1NEhvl94ptEuHtU>Sczz_QuVTLl%(8iPaWzm4c18m${n*6K<WPeY~S<f#)3|<h1J&
z2=dyyaijM?LSk9tuWhtB^wt?zh|Y@P&A@7{)Y3BHJ{=y~)MW+>_4A_BL82hkKHq<7
zwoI({S8kP4H-l<;Do3xN2+S)7cO4R6COnIO>Ip}hBAQNmG|(voajp%LBf-lA`L%1M
zTE7YWS=nVSRSRM)C3sB8c!jucTYJBW%HW9ojc(C80SF!q;vRJWM-*!bAJs`UMrXCT
z=JOVQ^f$EXEWcSL<~N9Ky}n9C&p%n?ZClo2!fR*7*9ImiFMk#n_oG5^Y{`fu#D@c_
zjY<-=%m@iTZ}Ya>2w{Bw7rl6R@pw%Hk@%hkeNy9G?>8C&ySPKFjCsIfzA$CY!iN3-
z(rw6fhRB?Ho+y*T4R33q2mw2G3|{{>v}A0Eh!1P`A5-N9i%aaW==?SKn^BxXR2x9D
zKlK~iI2Uf&ZQszfo)hmsc*jba8{m=XsZ+1oxj>hEme*Fq#qii5ubdb9*eYheMskn~
zTGyOn^S1Lq(j+!*#YG>5tLHi+#JN#M{SvcQiVv3en$kCo>){XaZ_D@zZjc=B7_l#}
zMa!|wZw+C3_|@3y6!niAH#gjhn~V^^PO6GmiliQ<FPhBv-s6GUh=?l36+x5*N*4(}
zqaeR0G5%Q?FW8Sv{3)*#!qe&34Pm|%T+F#^VRe)bgnFdw-k-v#H%Yxm6{eu4AaShi
z%39dm?jc2+i6TMC!1-Z|E^Kbfl+1PU<GcXdwe&18hTlpS9zL%NVaw#LEq4SUmq?~5
z$V%X%z}}%HJ6-s)EA(|95`@83ds;}9BzE($Rk4Wc!okozu*yydfmeohv>#;n8#Q@i
z(+@JveJd&uv=BzlQT;j-qxE>}E_k{66&Y*EA3d&Y6oH?PYh###EMmJHv@EO15G^Xm
z8}Jjwkf40gv1B<kulXCwT1G~7!LG)nY%$dHu&!zp$fM%VaaZFiGImUiHmS{t!*y_~
ze6~daNBKl=5HHDiZ*tatdAB5DzqOWrUr<EbO0aIyPclBoT$flsAO*rULa~CZ1h-Ah
z(sd+VxLz%EaX2mw075{$zx|?Z*5*f*VQ!zk7!s(9%;5`c-O4h!XsxdHh~ddhLKzLa
zUg;uuD4H7aLl(bJ+#nz3RYQA%>jeob3T#P1>>6W?|E_)HTFy>&xW%@!8FWx^WlhzH
zQ=dGHGH%lo(>1WHBUG|<QV;A(_jhgipaAtYPajIBCNvLr#5<bm<5IDa>B}BPRIt>N
zj{ed@j33=6QNjSNON&x<{Um5J`v~jKYojp5<hiGSA?_Q+*j)Lj1OZY=?a6i>oI5;Q
ze^TBE#vW0RSw1Mkv3vXPc_T8OP~{E>+EHOOX2^{u6;v$UxtVo{jP1KFSl&2ijBIYt
z*`*v+7)Ta`g`XlLc{Xcx@|6iL4yWzA7@&q6o|3zXo@C5Km5PhYGW@f0piNUs9aH0c
zu{`U^P^T;hB?Xyd$BKKqQ?5GpzbrA2+^vIzZ!HBs7&(PA!@lqx7vuc|wWU^B8|*cb
zEY7n8b_r^v1z2g|ThqEx=PXS`-K{bRy$F0Z^h{ZB(m;dIGnTiV>iAvDl<{Q^4J~eI
zGKK0IkeK!-4l%f){rz1UZ!isgnzwYEyVc=zRP2vH27?0y-zEYYX~=qM@8Y&q9mAU}
z92~cku;+4Z&+Szjb~p-+*5;^T|MJ<>)9eahAyvfNC|DwPfF9k;xK}2IS@=<;EVx70
zO37(i;+RcGsLTfy1ZNc0wW_Vd#vF~~t@4&A_&XBzqCpwcZJP|K(&D)AQ?@Cd#S(vb
zmr4TCl;EHq=+%5k7^FJ`ZnE!ah+CbeyznJKf2^mcSxx}MM??4nuF=r0KM-uHtcW=u
z3r(pD+{iYqAKGb0L*m6~t%h-V=q(MgU(I9W1>35YTMGco*na1{0y%tLOiwVr#SG^s
zEOsgBz)97Pj_%Jgj2!1I{o(d9k?hD_90)+be@kxiHEG1PK7Hi%-y*TJR%tY=o<Nm(
zVu9BlDF`h-q=`q)5uYD+_gOFzcodVFdv&7(?myvu`?_$Nu-$N(^Sy-yUVkA=k#>q9
z(Kz8&>A4?7`;=S%T!cB6%M2+amqf5MK-Zdem?Ub7?xnq`H^Z`&bnmqZA$U2D$W-i~
zAOcu>ii9}LaM>duQ7=#sQP$oH+^G}9cdOiko-U?%+4rPWP(lF3EJhCNA5Ic|d54FX
zvP>Wr@IH<8H6K2?q>gi4_(AAAHrp=$%NP!wU5EaZ^I*6({Cv>t6!CT<tf<Su822{6
z5sdEV!hGu5{=<i7h;2!+GV%pfBrD9+cUp0xV^-rSv(OwNr#4c#%t=N668}BkuWOKY
zW4HhHkzYjGU-G}*fkw!_#rI%yBRiHnsjezr3xvPWy=~+kLumfp(LC14hL(deDzCpT
z5h4}R`u?_t;C$97ZYRcuO3zjSZ>hh;lmt)9>SF`+IdGL)oM%Oj#}jVCZ-pq{>A^Cl
zV}MJR@0Pk{SdnM{PlUUBl^8tP=_PnyAI$5GZk!rs!B0hV73ea<aDFKMyt+QjOj)A8
zHnZUJ2w67&A`9#%*gGvB=z&-8^%_eC7h|qbtQTil(Gb+yu*Fah=L|&!n3-A8%69ka
zh7fkhGhHfs_M8IF(NXW^&8(RJ8Y}XTlLMwt+=ElMQt<n!<brP<E7DF8@y*qoa5xg8
z%Kl9k6_L)34Nh!0c-6l@iP4`PzAN@}(Ym-Q_>;D{!iM=N*Ye0?yiiyaYLigV#eU)C
zo8(vQ;P|(tb1`NuX!rj+qufNsu3L)b)6dr6Yr_t+dJh56FJ-n|`i~6S<hu3juQ{+o
zcPKiL!Ml=bzR)ZgG9D#;&N|1;g&*@gW=9!0)ql`fH7;KVuZwt2w(aD`0!`eY!%PHM
zJXa$IWpvPWIiTx!7Y{C8<P1-EA_^uwFV9^$+6bxLmf&%U53cP79L3wk@j}5b)z(-W
zPh>qeU$f;$QTWJCZ2?IX`cU08hP0r~Z_1OG$*9lbkH^fU6rAiL@?PE4!bkhOGqdG_
zklTIbXu*Uu91rwpnC;Vo+y1VpeS<<cy?xHJhEEo=tm2&Ac3OD7dC|d0Q3Qffnqm_7
z<*;*~h_K5>Er{hboWBw!idvuW0>e>xEZSs_H~MJd_qUzIxfL;pD3jOlX)5C0S?<J~
zOfA@_oeQ64_#PV7x+X4=@Sxr|tYuXT8@{I&1ldVpw(oY*iC;=6ugt3Qxu}h_10A}i
z>!h*N@n6b?|5VWI$N6!=TnEKw+jg#U$-pcr#`XKWDk$%sok|lT<9P)C<Q{H0d>4Zw
zEm|E{3+o$0vdEC;+B4iNEsv}7{3ogfHF2-*t$y1kUA$Qm+1+5G0OQXQKC>xWc)t5u
zZHXiWe#)md>Ut}p%3%CTr;rZP{djdBuhB!P<1THzBofXw=~lg<lF_y9KuwFNK3GF9
zbBWX|;YH@YD{ng){O-Om+hl8ilu<1w>a;R8%^QEo-Jy$bt?#dFyk&@qyp#e-2~|ud
zty{BPrHh7{Q9f%9Dzdge$lXd&!_CC2jtM_?acR_?c%5jBKp_*eCL?v6-B((3dx63G
znH8R2DyBGkD`ufXP6I;`o?~}gbusw)s|>x>4DSwL^1-+UUPvBrUG&k#^7_8f(|#6k
zvi0xikI+PZONm85BcuK!syUi}32d;jDoG#L#2V&4w}M_BjK%#4(y0al3y<_hi)bNm
zLsgu8qZY!dpL51|(I9tZ)A3;rErbO5@2cLZ0nbgzgPUh)_%ZhWC8?I-0fS8ApYN-}
zY~ry_kgp|{ht2qeshYTveEGUyw-QVo9+90MTf&g<jA6}54b*}u`r)(!rVJbE{!Ln9
z%Enw{%XxJO_r~Aw5|P6l1NCB4CM(1kFqM=u^01rD2jRYADKy_rW!GA?gm-<*Pj*Jm
z(lp3a;kz!1<JuqO1UngA%k0XNs8L4L^H0lc^8(m1daJNA)e^_a(YFUSF#Kt&k=qYC
z7uuJqp5EVViK1xT-?Pn%m>sQT?W<-1bL!gD)eAIq$KSNJV&tZ8U4gIv<@_e%_ZEG9
z#o!%059T&B$zd|};`1fO+*Yt3f|)uE&1MnD(sN{xQ+{ySDt4HdT*<!M{0wL+jeAD!
zU5AP>pAU_Z&k6aXc`;d=04aB7zC#pAkjC=Ocg)c1_=X26zdj=n-yBBSTPcQw#$w$?
z)~>p7g~sy}!xm7?9O<;%CxW7l|2RB|fja)e6T4?PEwJ^=B6qhHW4=)DTrv7PTxY+N
z^pele9OPq*@Ao<jV712~|M$<4x<>xFV*>}xP`dMLY5>FUkG#6gZ__$b*Db^|bT7*k
zTTV0{d^yPlU!?%<)9u4`md720E)1I>+x4%0wGaok8Fy?B_ZY0Z!)+9^N67?TVnc_w
z#<3yEHXWSktJ_HN>|+TsM(BX+bNx*$IJZ6Lh<8+1-ITebJ3*%+;#7C|lkH4k+Pt%<
zVDH;H4V^{9Zc!?#id>BS%~ptPub+3+R$tULhvrMi1sOratFm3e@(+=ax~dT&R8@E3
z-fbzlw}u$Ce7I}4Y>{Bv!ghPqS*I?tI!4h;-w;$q-?B52^TeoF`gX^+mBhUy+Zw5K
z1H{l@oxPktM~K~iFRN4af)F@<LP3_>0D5`e@Lo4d5d7BC!&+|%<L3tjZ9?@ibMknV
zSl2X>tyNA_2<RfNZ`>7hU|J8kc^3rq)20ZCD_vYwxBG}prM)A*etKvScIC8R`9Z`R
zD@1*JK12*^=I)UFOu>_yU%ZE3d?y6>UTj!CGD-;3=SxHPQ;_YgP7$1#B;4!m*S_N(
zCpydP1H2}5@j#yEu(;18Ar<u>Z^->GME`T`15bi=8UMtk^?}+Xp`2+a)3bYm&^Kz$
z3t1*3KWAg4HFc8M;aJHOsPKc>Hc)JTGLDRe<6|X(ag#*A=Sw9_tkcA+xq`5#>&O_W
z2=wWd{!S!oWH=AU%n)Pb(s_4J9oT(U3NiTcouF>~uPQ@sj;Oq}+b90AHexgq52^k6
zL2#P5e=_d;MSRcocr(SA2Z60~oz_-U1mE7k`xChfg!}myi(yP!2;Sl`ciMNF(1<La
z*GOF=u8D92YglUHqh&!qY-flCy|e!{RQ@59jJ}`z6U*@FjKr|j4YR~`o<AXNE6W6t
zxP4{%gE~}wAKX;)pCghI-u<jOu}V-j`wq!ysw3NqM>VDF7m=|&iJvaQjIC<7!ZTvj
z;CFNVo}~2)#I2)}!H*JH@O0+ql^b7FK_X6<JZ1EWJmqYqfeIUt*mJ~evnql=p8c&K
z{F@kctzi1~g&o%f=HGVLs9-s__QVB`zeKj@GUd-Z4tyFHo1^QgVE@m!_=>YD#EuZ(
zoSg4m@V6c<4lGkf(4}TR<K9)G0K6Q9#=Ni(j1>wtQU-6m_6aT{W(e2Tev_<Qi@$CA
zdBd8NaN^=4Z=Y-yw1ub(>DLP&s1JMr9!e<nDF`UnWz_de`F5$b5MmOY=3H2nAa%9x
ztnF8JbY5S6Ao4>PH=^pcop?w>V+9xaaVrP@_@*}9tP#anf#q($U=ogbzG45`%f-mC
zb-4-E;>dm2u$7x2p+%TA<gYX@qIh1EIgd$#eeXWb+cG4qQ_6DNadRz*l(A`JnlzFv
zyocWkk<jD+mANHP0J{p>ybr&Z!A=>G<N?P1y}}RQlNE$;-KFkG|7$sLe_v)xuqDCA
z<Lp*jx-d??nkZ3qR=`t#ZY!rm5~#zhV{Xx+@cpE7+jd3~P4sc!Eq_UnanGlu1c;;I
z)TM005+%@czCVt+rUXk3Zr0JWlE_J<{uYQ+!HaOU&lP)=;XO>EX4bBQ32W?*hiBBl
zuj={lpqC2lzuuCIQ;|UhQ+ka@f(D*I?)j%YRpi+9=9le}gJQwY0mpk<koA7zJ#MIu
zavA>fo1V#I|6s~%%?=$*MC)LilqPmf%X-agDS{^FIN$q+k+*;LiI(ruM%V2Pb~7a;
zR0Y2>xWz_+Oghy=J%WtGJ7fx}7Rr#1J3OAdOu?_`zU{@V6x<Ja@}Kd06&Q$a8szEG
zL!(1Up>C}n`a{bU?jK<AOX5=YhB$pZVzmipD>6WvHm&{CtU4Cb2EF^(4e)Mk<(O`Z
z5d_^2uzfhFiDWK)djoR=uw5Rt>ESZLRJ#22GqqZ9x$N1+N;1F!la}RnA2SG*`t{?p
zHs;u(duvMdp{zpMQ{HF+OUbPq_3w0WUaaK$ra?XIe}824V?4lgajgQ~lnkd1*OAl3
z6cm~{Yp%UZ!)AdORm;9)>^5?#sZ-Jg@n)Cst=pEEd1Ym}$BVJQWyt%#d)m;gd~Dz!
zXodb<mq`U3GA`OjPp!>V2d_t~$(VpO%CwW{N$EP^czDXX%2gS0-$jaY&sd|~#g57z
zqYX-EVQm?k0#;eyE&r;vMw8RW1y*@2)LHS2>Ex}0kn7*`anG$W@$Tr|f2TDt_RjK}
zOouSW25+%`&9H{S)uY{8v(?~j6-|E}#RZ3-j?TV2tf8N|$!>j~3eqE<a2t93AwsXO
zTPDp|LDWO}uT-)UczxfsiIKaB<-M6_3{O}gRLRY+CrlA8bf*ptp)YmUE*CnDOj!cY
zOll<j<RL0Re@e*wt~-<zG-K_>@Q1$39)is>c-r-G(7TnH?(qD&E#)l@CgI!qc6^aS
z(0U1(7x&oddrJ2U8-Rw+n-dQ{n~URkvaDOwVNSZgG4qcn4;lI}b<yr8<30M{mOh2s
zaMS1St$DLS6Bt<*AMno?Kqu$-HS_~Kbkh|2w_V!_9C#nxb><8Ymg>{EjaGT+iWjm+
zkL|U<qX)FpNA=ghxQ%qsU6+^MA{3+h;fOizSni+J^J9h-&msN8>v`!aBK&vRlg%)E
zApE~stv^KgxxxOak34h(CzFSp>P>M&>#X?Xp;_X^US*b`b3F8F`KIfmize7NrInES
z<1^8dXE{J7@zB$oBdUHGnc!$tU*LhIPQvlN&dQe-ZhF(w-MqT9#vuQszhbVrURSIT
zcf>o4n{FEYw*5*66$&HgpPeJR>Q0c@Pl?-d(<c?a{d%KDg|e-*r}E8Db)Et>t$7;U
zbh!a8&4r6b@LK4Zlq;RA>-%9+Xr;?dAMriOar37k;;E<kcE!xp4Yy2fTkFP6{~rJV
z|Njh^cQn=w6vyqo_uh~7;CbxrcZ~*RhA5d)+R9rgA%)PAh7pNEQlw#}-)$JBvO}qa
zGRw>!Z~xwN|G4LT@A-VrH>H#&xow*fEIB3SyZxFWPya|*+)>DdsV}%h7aI+s`Z<f`
zYqoh(PH@V8MV1@KzO7%hu{DI?$IgYGe;3JFb(ZVfpK~Ld-^(KcXaKL|npulqtdM-)
zN{J_Dd9dztebQzd15m7zS#My>fZY4ejc6a|#dPi3%0F-Q!Qp7@aDD<KZt_W~p1Q$@
zAteyB<f#wTeUF&#bub}UOHYB#Pkubd_p12JupR`e8T#~4SWy0Wsxy`fpi|Gcs=KH4
z;Q0GJ<h4jv?7g*=Dw`mP|D9cSxFD|wl0B@&Ltoi2Zzv-q?WhnY#qTZ%f2|Ai9Ru2B
zjvSb_ux6_sBaDXAHB)!@>w=w4ZES86CuX_3@P4@?f=qkv*GJ0f!da*N8`kaOMhsiz
zY56IN?|0^F?EXXt?@{j`>=L|q{Eq2WBRg??G!pl6>>3@00zF$TfAV4Bne2A6mlEhV
zKeD4>2OaKsuiGRTDuCte77@(8Qh0H<Rgtp}9sU%LJB}R^#LZPYK{uskaLmh+y_)0S
z{LY8qvScC5z4zc_-=Zv*O{Tnk@r4FktOl9ds)X@qWi$8QWqA}bQ2%_th6eX|5{L8F
zM9`GhKSdKz#EtgN$Ezx7;Kq_%y>+`7dZcsg(biW&N4b5;Pg`m5cJDij$&cdrE+bex
zBSaaORQLCNW~Ia2>%}g;?UJ~Kml7U)PX(8zU-a`C&_N>g_G}`9G^UBpjs94m;D2?~
zjt&3OVZ7g`^6v{7Y?A1Gnd6~`iy9k@C*IS6D?5W__?jHLGFEtOs#M1ZTc4&!nCn9C
zjpq}>HVU{e^YxdL3YzGe8Rh8sFPErmkHed76_J*%-<}pn#SJclp*kUY;PLbdTdtE5
zQkB?+D}HEUtSc|qb&5VTyf}P%pT9B|6sL4t($c{;!CH=ZCIk3ZcrA3_Q5B5Nh*~=3
zL&Lc9|2b}1F@TD@O9g5dD5xA4W4~3Oj#b~cw1$cr!Ii6oeQ=H{8a(q3e|n3Kp1-DU
z^Vu6i%z1?t+I=--&WttR{F{y%k3FMQubF^a_{#U61?uQfzRt@~Oc!JM^|x^SHHDGW
zE-^lrHL!0-alWFcE^-`|@(K?$2d|8ILey6i?TY1tyMNMgt<#$!rNaXH|LDq|<Dw$5
zw&x8QN5}ax_dJVrR`70lhi}v+D!#hBmG|-x4S!5ZW`z|Hkh!Oa`S>6e-7<dXT?)}b
zmw+Qalg9y;epfgO@o8a|obY9}i(07Nr>nY+*BWxpY`h!9poJyg9}*w$(?mYzZNIY5
zTZ2m9!Z6fOG1p!wX}_>K&Ms-&`%GJdxc`!L;5sV4DTDQ@*D3h4rR0h~VFStR=VJXc
zHL+$?`P4H`WxQryTH1Kf1_mE)`+ecH2AYyiRe`Yz$Sv}`jw{Xv=KEAUi(ac^r@pLI
zr-}?F%xEt?im`#A2XzIfbJeiQbZ5eNia6fXRA8_SwgE#Up}teQRMDR{+0z#&jMV%X
ziC2a;aLvK+m#Gv5w+-9n`#SRDHqo1p^8Q+bYwF<*@~@O}c1|g@<t+zNCtTtk3ax>E
zliNnI5G71WnyLx0WX9_L(ULzd)^OYI%8gAtis-gZFO+~4GU%C;;o&I&Cb<SjiEw$G
zU)T||@a8Wm8W|h0`4Yee?R>F4gEDyF;oE~Jah!a<aiH~#20*M{*y~*pQg~G<wM4(+
z7g?B<YZeqofVmZ`u^LSRpWZQa613?h4`+1=NmW>Z+Q=PGWgamsEHueGpW8|Hi+FZV
zjafoa>>%$UArZV;X~Fr;vXvbE*`!aUSORl-jl-0U5W2ez9@rGtMCy#4(7G020mhcm
zPj6%ipfJ<Ln@R#rWLf;2@1tCEcv&4DBWBBoe`oh7Uo~hUCHlEpYKP2#?Opzbw;9}6
z(%SEF(7T;X%TatXs&58o|4u)=YsHBzjr{x0<aLprx<Xo%v!-xg?Qlh;COgj6#b2pv
z`bvI()|%<pZ2~v`aHchT|KsYD1judwL2ee6lZn<hfk~F>o6HT&_;4UQ?I-h3a`$rS
z&%i6jka+5DebgZ)WQ$Io=m{AjlS)3f5B)U)_po;%O-_s`+O{^}Ha$w-qQyTP-(dvo
zG){*aUk02Kd$4OFcbv?Q(u(tXX9&}AWl2v>*2rVkS^iFylcdrMo&<JtL*Sk1+bqwq
zN<PoiQ(G*ZCKW<@_YIU7fP371E1;~9y9@T7-c$LP+;KMi(Pwo7P)(Z`2uNBcg*gf?
zN4L+BV__^M-FNjNkMVZI1-)hRa4d)N0Lvoz>qyeGcGZ7A+E^cwD!ELu{0;LPcU&d~
z4>8bQ-`9h4O13p?=F6n_s`S+hk5|cg?R9lI26|8yeI#1)#xgmZaq*gX76Ynm%dFb}
zQWt`^JMi|XuaGjSJbQen88Jab(T3)x3u6`=*(b+W$Y-X-Ya9HSQQ`Pck%?b)I0+->
zMWd_axDRJ&c|Qw2UeJ(x8BGU<+_;$)UIr}K*AP&9h7H$<D(@;8Iw&!5U^Oz}!I1Mw
zX!Gy?kN>KjJ4pj&sp`{t7a6hdYq`3P3K#aB8a?J)uLD#ajJkT92^aHa7v52M(Ak>t
zo}i2l1hrj=d=|}&3<0lhB=6wE*Ux`EN<E<sr{CD99ly(h9ZR8qKllpZRQL6}XZy9l
zb}aAIg;7>aJ>eRrQz(d)%XjPxwrau1U=jbHE$n!~NboC-R~QR-#C8Abq=M##Z|_=r
zIdI@(U6;;f5&Yt>Rk$OV3U!3jV%b$Lv|ry8bxmIk4R{P6`Y=*K>?0E!9Ol7!_u>03
z3*y+JN#zcIpa~tHMtAr{^5O6O2jw^Xltk6Z6Ne-BY62yRV^m<f01gJ3t+SYy#@Dk>
zA-63xAzMzmZhML#j)Z6sXds8<?EMV;R5gJ!gO*j&CxpAaQf%#<6p-=msV^VYHNi8}
zt*O981Wy#DQv%ZzaYM~%AL>R;s9S|c?|Vd1SuhhP=auk^c#P-HbDE$oJ>D68P8>T2
zc61jUR6&~IgP`u;nxMe_UuB=WB>Maq4o+I4;E<DG!`@R=Q0*zocxEGwE+YLA&ok7p
z&Hveta0@L!Mp}!3n=BTd7MZYi(7>az<*twD+HmE^c=oqgc|5R@-Q+nd6@z@Kn$rF{
z!0Jym${kifq4AYS<$5jL{2#62K{E}czY4?#Dk!0=Yvj=BcpZ!uoX%l;LkF{+av^y^
z%DAmOne(d*9XEy_`VwEO3%0vI9z0g6f+`UDL2rbPo4W%mlm6&|$)yB?KTN9l&fGrm
zPo6H$h%Z$=Bn)8dUcK7+e_rpne(O|?wH~^hlzGZsVF&`2;auDE)N!DLOEsfP4}XjX
zysC9K20vRl&qw_l_`c}&hjpy_*g#6K<qMdCm2<?~6h10)o{f{7lhDT{`Tp;1{bsO!
zyoR?~N(+yB?6=kbqlY?S6Fs%BEx^oZd-<<bEtCv>6;4L$;Xv=*rqg*=u-F~sdiIev
z`jcY@iH*9*R%h5QYX)#o@57{?rVeWPCs=H6qvMPi|2Yj|YtX3MRm2&ngF~UwdxFhq
zC}93j)v?1GoU;`yT-|k$?%P(R7NUi7BljY|M%aL4ceyX~nl@5d#_kl@X<+DJCkwe`
z1IBkdE%<}9G2Ub6_O6+K`JTPf@^z~%=skDb>v>iSt$#0v^4(BEkwPPnpbNI(6FW}^
zgi=ws!X`=VsvIgL_#5SB*#cX7Xj8Y8CayoouRY-+fw^xaPGGVvc%^3Pbmgk!xm_DG
zJT401s-1&^p^q)xDlUDj$)kqhD}iZyTe#36OvT(l#1@Ksb0c#CC`c`4dGz@kBc__a
z8B(gWflI*>t%n~d<6*N3c7^mA((P+!7{$c~f@bX2wa+V}twwqFF{@s3N6y&E=C9VU
zVKa6YZc;$6M4JwMju(V<e$1PdU~Bm9KW^XPC5u{z=UT^|`iWk-K^AfpKsl_+ofo9A
za;%E}V)YMEHdXK`Bn%+1KRsrryExtp`0wh+$J4|T<;rHONdi1#hQDTHh+x>?^+8uJ
z%o0s*pSXBf3Ai3LTfRe72rZfTRNpwy6Jkf}v~S4&LphJiMeSsMtXBOzCvCJqgdBVn
zk!fuSfo}P(=RLS_-FfGuA>j+eE5rO$zr7YPvqd_qD4rcl)MaiZ{@eGE;5Pko(;Uk5
zV`5Q~1wV9I3^U%ICju^OUuo|!0}00`{zDv$$ZeE#Fui4t*zr5F<gch1j4G(C<IP+q
zZ6BS8GVPruLUzkt{o-Q^N{Ri`W-sSR&r4Q2@%vxGIKE3?p~wVkFUxI`JvvQhDRIty
z_%=h79=ra~f5jN)qqGhgZ5<~w3)(hC4^0zKeQG{|r!iE@oSPFY93mSYzLpbXohJHw
zxW4UsVg$xMNmdna`pBV{%+(~bDPp_5!iRKmBk);swlvcCLQYRicXC~rBvPW?t>U5$
z!OM1C&r`-$Qqg<bJ78^sVCfAnof$QN_n&1G{90a<*$2j@+)^iqSB1$%Pkam@kSmy*
zQhk?PFD0AQXFox3XnS?sXwiqM@^-px@dM&#cWlLV<q4vcnyPTrK_89_UzFao{EAq)
znKG2CFhQ93iZN)_>%p@<oKFm*KM>^RbH&2e6GU3U?z;31dXQz|{n_Md8<Ewrr1R(O
z1hKtRLN2dS7a|H<nZ5{j5ygu&LJngS#JACf9Gxw?z`)`9jN;xy`0MV}3^_JQTy@q@
zrhKErw3~m(Zi8N8RA;?xrRo&n{PS7Dk$rUNe8;;mtJ_Dk@;)6}U7R9_<_b05Wf~M7
z^Q{o04iIx0&p7P<P7^ivGAFVqG#H)8qh40~MVu9XJN-xOFF};67DsvLK!e#pceTzC
zp?~(z@rHm|LP9s`VtTSRJmFp0le1xj$X(Dp%G@<an6d__eXG}kFxmCn_#?)M_h+3p
z*hMZ7-^5k^T61YZBk!fH`1TL+HRF{@q3aTn^XHZ7OE)SAJKcC;m@`2{96MqBVfzZf
zbk`)s@3tm<I-hSlIXOwl3)uhc&R!$5EoOT)W;I~Zg)i&sj%k8AA1wTupAoF?>j@gW
zYJkZd+myOrGlbZrhuD=cCfI9y->|4m9Ri-6*z21zOT@4BO}5W5!_{}{`A?+OVO(!4
z^kBd|VH|bU>FZrq2=KAXPD@mSg|-t6?%Nj$&$>D%uV{8C&fB}Icuf@y!xu*@&MXsK
z+8^+2ImZdxFYu}Po>B$Tgd;44-&cuJyEFe;)pEmUMzMn?%&H)q#_wTY#Q=|&3s|Pi
z_#mcP?eSm=1%k|Z8njiIV23fq+w+(JbW6p)1x*SF-#Yucq?8$+ls8`EoEC(k?4P$c
zeo%pqedqnGf>_~FR{-y|RAESnb@H=}RDt?l@!n*D9hf-74^n(YVd#7>!)+54*k9zE
zaM7L<LLbd+<ZuxOludrQjztA1RnNJi<G5k%tMBHl!;&DeQep4&Lm9H;8mrpoctPcv
zR|eEe!*7Y6XJ=ZKLF!S|l}tAQ__>p*h3YB?%e++gFQ1j6_12Hg7H<Wi8?UF_O;iAv
zSB=@CtIANKQsH10C=494{nr>dl)xsjuQ3@^09v!xFUX5Rb$R`#usg~Su}vb}r9cIo
z-NG+av53R*28TpNKMJHZw;2;A6gbRM9~CJi2|r$H5q`#MU>EEp%(h5@S9PM%O%Bp<
zdL3VcBUJ-XsG&f4MinL>9e2%sC<_YAWh1f1ROtL{ztE<m4#|CY*QVtZ;7NnYu1rsD
zDBoG5*k7gr<?ZI&PfscWU&{8Vniv}B<y=nMo=Amep49uYV@jaf<lS(wgAR|ZJjR%-
zwc+H_mm9_VRp8Q|$NhEvx<Jsy8k*JU(6Z<I)b(WwxFvi0OZMpj4o_K}%-4l|zVC%E
zq^bcwo8aFUwfbP0{~@Agn?5wHriCQ_ySrb?hksM70cibr&w0q!5PobmVR~Av31ci}
z*;-tN5XjrJWaVQFk=wkD51DEK_l;HO^Uj8_a5d-H-<zgTi6*KS)3jml>-m)P>kOg$
z?WK6m1#|ezP~Ozkr~`Fc7HQo-3}8Y3@U2WgD`2sjtIn&X!Mj;knQd|gaJ^vp29Ga*
zTl~u-DHe2?t>UnJvZx20F+H&#PFjP`W9y;x{dDlw&}`XwN*9>B;K8v|Ho&-N`o^a)
zIs^r@oVpc4gEN}RU*f!M!6+!!OJxHc?s592H2G1%Q7MjA&0+_ld1f8PUubaJ$@rkR
zh#K5e3J?-LWe1Go6@BJSI*`x7e%9lu5-0}Aq#C0gIBjZ_H9MjW*X<_l8~bE{q8{$I
ztJx0rW_sHAw^1RA^2K;tuL#r_`8?<@vxCk-#x}-P4G@S+XbQ392FXV;mG2MO!6DIo
znSM;_@XDs6K$&NS(5K>y<2-i2^g_Hjew+d>ma*@(I=>Qyrc%w)S8d^n?L+b1ZOU+{
zlPrqK8X&hDUv39pTS!Y~S2n6rgb_-#Mswsmxh#{b=M-fF35-Hb5<c<}bNC8%x`Gjp
za!Rjxj#<NnfW3-^`=!D6tr>CuBP*IO@L9-jw+2r+ewNZF;^4!0>HCXH4rCu3xeFfv
zWQ}HV+(ZPbnV+5uE#tz{+%t#$>;SwXLfN`j1)yZrszi5;8++0WHrB=xP<nxTzoh^V
zu+@`3(N}qpCFHk<OQIF9DrNECDrAF%CSw=%RvsMTz1b3Q(-LMs9g50%#RyBgwFNV4
zd2lSH@@0Ir1vmz>Z*?wNBqTk?+Jh5$@VVL)7xyo7pyt#IjJ=p5{D*E74eRk>j9vK$
zS!r|FTsCw-)OL`l+Y<Iws*M{xMJh9fz0KgcWT%h}Uk8y-8yPk~#*LyXA(45vO@Zz`
zx3aZ9lgx}fz?!JRjjQhQ`%@=Pz-_}|W4Zb#Qix<}ZJOl5p@@|&680t#lUM3qV?97#
z@Rl~6>fpl4^-2==3XH*M{q4K_$zx=KRiT5&XD-~f*viz-V+@SRYvm_7r$}S<{Uer4
z+<4@<slMfLBgn1i4w#7iOQzpEeL&WQ8{hI)R@@vmgg8&hocV|I<PcMgS92{lmdYsH
zfA0UU7dH-`KlfmXycAZa-LjJhoxVIgcI>MG6hDz8V&hiHn4ToF03BX5th77*%+COp
zbDzlWyv=|<!QUGTmHE(mSFlpppgt^I`t?R*o)O<~xvtf`jvu`zC}PFo`cSshXq2*<
z83z-Nn{sXvz@*a;H$<@O!wuzA8Und2$Z=-$_)jiDyv@Fib^ewf%uFPyyR5PzCHTX%
zRlguMIh;%Nu+oE@8b|y%gV`}kFe~IwyAW=sC`*6r(}mHj^dZV;4vgANnD+My<IHKc
zi3b;SVK<kntbYI(o^R7VpvWPLr`8>yZXtA`2wvZJSmj2;^8v0ko5ax6uHzbQo({#=
z{&aah;l;V$KLzc@;%K$^Tlc#PIykOLr+3BkW8jNE<~S`$94LvLeRG-)H=eukoqaBV
z5kqa{w?-*sqjLY~+CqmSzE&NEdO-|ICE44PW$=;)Nqnc#LH5Fk(2fBi{8IkaSb4u3
zJ|zSsTg2!9*2DiXiix1GZ21pa69v3y6L0s9lMe6MYC?>6h+=I1(9VkviYVVWvxS?B
z4!zT>dz7lhu%zv`?e+aic(A77@}dMC8fDTv%jgowyz%$)nH*(w)pAZyHlag=@7T^O
zFC=kf?<kehr-ICxw8I9WbSSeM&=3ih#*Fx4&wRQnhAJc!&p)68t=5xAOhp#EbVvLS
zCaR&=M^lP3hb}B#-$?(tD2FShoxfLx)bSJ7jeF83bm3@gUjlEq0{VL>v!R0~PKd30
zugj_j$(KT2SBER&78UTDDx_jp-U^u9*Mm2E%tCukDPeHXrGSKGEu8qy-f?EXJ~USN
zFPmOa#xrs2LuD;>aOLEc*5S<t;7~_q&fikO-Au(Bcmil>KIQ%-$=(o-im{iRE2E&(
zA<unpb?E5m5MFR2&<Of+wu#<GRh03%lX^Xsj@N36_KIIO2Dy#0&UUqGi0M}z@^sTt
zv^f0aqh1rZ%`2<fUZswAnB*ek7w9<X$a?dfr5Py4SN=B2)IfjPN3vWKbYxCm^`YgP
z!>Zk$GJbze%-Z&MwYGwe_qt*`P{<NyXl4PN%v8j{sHYcP>3E9WYdz(J6*!N&|E5P#
z@qNzM#H4T<Uc4vOcD9uOtI7c>ulH1}I1tzBG@^}FnxxC*Ie>|HbE{*+RNNXn9DAQv
z3;D!6f9w{w21=)LCQ};~wWZs+T*owU?0NOa>zA#e<z1Gt`Z+3II>OHuc|#4|89Li`
zOj?5`zu3(&PAWdp>Y^7bQP6a!@a#up8yNU=Bv5&~CT<+87FWnsLixv)4{U;Lp!MGP
zZtEBgH2iHO<fx&5^nQPE4!42DSbIakXmz~#eeHozsx(s0<PY51X9HfBe4o1ds^KuB
z!Y)N6akQ-G*#6YX2AV9MKi))9MU^+H+b2YXF{*Bld#0=nxcufg8Tv&9pC1%YvYO&U
zg_)-lSv}UUP`ydxbAmFS^FCq~Rm6d5Ssgwcm#iU4LPdCkt`e5HQ)t;+nDLW<y~>oa
zHJo>>G06U^fOqJ_6)SI7NMDQ7X0o3F!oziT_bbbzl#R=E@$6Z$-SkUO|1p3$-d8E@
zcVzIl)E2=bOB3Ww&D(4G!T<?|rJ7glq|nI1{Ak{uVY1&KqC$B)0b^&5GLEoIAca{_
zeV2JZS$kL~-SM&&NKmcf<flZDzvd=Oi2OHlsOZA%wR%gqU6_?7$0~x(?+y(PsdbYx
zZk@(jOqRgSF#Yk7wGg&e)xM=K{NsJrq2JwL0TL2(Dis9+XrX<rU4yTaWHox3Dt*=*
zdcK_DE7`|~;rb_o{b#yJ&R<144d0u=ri58ek1lSkKOc7b%%&dFKFU<ePSOly9rMeZ
zFLEM_p<Rt!U@uvI(&Uf*UQ?)7>;b;>>?qI4>E+4aPu}a??`87J1SqG<y-FKd@xguD
zZ(bt5$T=Mug*jOhh)}2gXJyZV+!K^uY2RV;u(YRJXp}Jo9Oj6!XJE!{^kZK2-^NIO
zgScCV`i&sNs8QqG7$bi4vPp_qKS63Vs$Lx5Yy|v2oo&ZB8BypcC`9T`kr5FmzPzh4
zgl4k})-rbne3`!DsYRP1&9pR~N3;xKx1Yy`jw@?qvC8B`7BNd|)G->F<{5xeNJ>BJ
zyH!%sd^w6?=R6sbwR$gK)&RC06_vVZze-llh%z0{UL<RzEnib^>cdZg?EUpTtEA<-
zJeSXt%VfTSRqX>geVA;tVtdcOO46T)+I<XIBN_6HJ<aaw0k2N@(<9ESq;Q{2x5WYj
zK1|nt*GT)<Pji&Qo!_pK`%-$+H@Gw5Vw_dtt{1ux#S_nX=j0k`Wi=6;{e~IW1w~$$
zaMcAC|1QBYJq8pyVq+)d$cq0x_OqNAq{G#h^5LSd8Ia&elPaEI!#p9g5w<gQnD6)?
zBz=$(=a{te?w4^OgWqfYQ%ZDrceAOKZp?(218;CAT<1dBYozhwc^V`&dtDWfVMdqg
zf;S_#cyMSUQuf$49XQZb8br#mAU-(0TG7gfAD^9dnK9LYdzA;}lYkYEhvvzgO&7q1
zyf>GHa<rkKBTa(k3>yYb*~wh)6U6g^mTOl9wIQi3;StLaJFX9U4pr-gah;w@Wyqy}
z{dA=$|4tYuihpx0acmI59|1ep-Ime<&ZyjYGbL_($*d)u6Do#keJkHnpHSgjV!@!t
zG7l<?O=hxdOQ4*iMSi0%6)GjP-c~U2qva*hU++bvP=<9&nv66Ro^0$eRJ$pFSN;qZ
ziYv?D<JoYh`=gpLsgUB!-z<o~##)-%z2$J*!H=?Yt(x#`>Tq7RoG><Xzc6yxp@0#t
zN~QyCnow0{sNtO`f;+<`2Xyij@xZGpk=jX3h*IkJe<&!1<<}Nls#ldz!&Y!1fKCO&
zm7K7j72^1FoFgjbpb8Ei%`jR?r9vW~ES)7r5=Twvyz*u!xbJ31yQ`uWB%bYhSh7nR
z8*7+qSkJ5BapU{FiC?wA?Wq4b)<d$GexS+ciJk_&>i+sz{i8N47QnjwY4Z5s*YEpo
z1Dd#dZM1%1UI+fns`ZwRE1=*t!RX-(E!@;G#r911pO+1KawQd&aGzT6`2r^$Ofuwd
ziRaXXi7%06fxgOktit2`gTFNVyAo@x#HI(|Q)%CG@2KE_Zk6i7%YS}hEHoF;(1(&r
zsrJQj3f8w3+ZX(&ixviA&JBkRfcA!G$1!s?oB_|IAG~^a`JjKXL!Tj3omlV8ep($%
zBMJ_&#_D0ibG7f!!i^zWf}1P0QUeu?BU$a<>fv%x(&gVOrtl<P`*TB&CSGdJ8(sfJ
z4{v;p{OB@j2LA&90RR6KmuDcBZyUz#y=R2%{qQ`GnRTDGD5+F`5+y}uDUwx^l!g**
zS)mkB6qW8XSrKVi71>0#WP80|j}O;%eYno^cl>@7RAqDYXy7)My9&#Nbc~8|Rx2wv
z0d-FrDTA80u&t~s(wdIGc6*146U{)|=K#tCQt($vc-xN~G&H}feJfE7;K6Iz_Y=Jo
z4C4P;-I7Daj}aF(#V-N;G7LR5C#i*S=gc@UtA%d+Do@0gnS=Z_zoMsnS}5c-6&zrs
zi6_5GY*lcz0Isjy>>J7{7`m*g5~ZVtk6Uw}M7CRii+6^<j0y#vH5&_?R+Ny^o34CW
z*Al|F{L^rD(!^Wpzvrm0<&lx2*fG%85)`NU#V5=((0x9eON3_w?qV*!YaM9``E4GZ
zltneHZPNZKG_?+6vimvy`C9_r+@z%FiYf-%ZHgXp62_gPE?e@!5|W*0_ga`$Fxfhz
z*!uzx9uVAR=d@%2g>#P%u^d!FmZTkHp0Aj(pg2R7G1~&#-iejVyivd@@gs&>k#pp0
zzu^1%gas_zxMm|RB#&t}ssG*99wNi9GBUnzG6(NxshT-~vM6hRC*)rjk~6jpkxXvp
zu)F4&>Xt%jWISB?j%a8h%tJ@&j`jiA$I|rVb0yJjVX*Lt!62cywZ(A1KR{q5N1DV3
zan$1EJ(X2AP8j)qGhP`c;NlyWZ8Gacv0;bpo22F`BK-}AW*;K~9|W~CInsqNSyeE9
zU;YfS@WZ?Gw~QHZYD{hY`=0>PH;wPD&G}0(6!^?`S(t*@&9JBX7kSV*ume43{t_7>
z_3X-lCgAIG?xDd44(xP4r*HS}FA+ApMXNI17;YX&F--Di#VcJk=Ywf~36sF^>q*~@
zAn|YC&zgNqc)C3_$K7*=ICb|z=BD*VaH`c#+-UDANwx}>e)O9rRP|11C3$WHclF@#
zw&VpebRkCV{Jtr|IpNV${z60Oj!EA1$#s?-|Lt@~ZR;d);JQ)$A!b8h3#p5~nK4D$
z?CQN;XE8x=)aI(1yBUDkEZ-O5(lPQy^NN*Y{20L@{oH%&D}9*J<S9~H93n0K3qS38
z`iICLE^gf<tq*FfDz-S&ONwuK?)H;)gm9@2^`1DZ2eaX|OBbbok)bNpS+uLa2~#~w
zd9F!a&`-1}e|5N(ypiN!5w&fIXwhdr?zLYR%KuY4QSq>ebUa+!WbZIY@YJcfereW$
zuguYHK}V}dl8HlxDSCj2_>y}|!%+uLi4$3QBPHZ=iNB8B?|vd<BMZakIyyY0+>i(k
zO(5O>xy5a{)K3V^j@Aj;(;+a%=ZIQC9`T0l-2t9M{lo*7&7z(SG$^&<8<6sNL)6&p
z@C^^?CxY}${AHYJ@Vf3W!%dzl;;Klw+tads;u4o&h*l>R@~@Mt5r^stihp<lGkt(~
z{;&37xE~d69Y1pDZ9x-pWn$wcmCgZTk5Y}r_kY^3mo&cY9{-idP5v{a|8|hzl-W1h
zBclyz^TL|$_AP{e^}(6yFGGapb@^?-9kk$A_yPZ3=5}JH$BAWHYM9_@-=<y{O#vgm
z5Hl+IgE)U#a`@2w5h6#jaN6soCdfVWI`!>bC&A5EALipSN-(H1FW>#E0aqNJBnCd~
zBD4o&-gG&Q6F+#yQ=B(yz(1`{+taijg6%?AF}-qvIQ3;>%ZW4U&}Gkg*sH3SNdNgQ
zT8?RoIC~r%CYsdXt;w0Hj^KVmksrq2drcEN*?nF=RaAphpMRU9*&yLq)Zoi8K0_?u
z3E!U=r3$K&mt&c=eiKohAr~DU%n}c73D|!Bp#nn>$}O6$M+iRkoy_~r&k^@zZrmUU
z6*yZk5%T!rD6u1ZG2mv}0<n=_JhwYn8Qe8LSw3c(AQHN-ihmqiBHYsNST>0&L(=9=
zJr~?2iCEI~rC-D<!Bg#Kq;x?En(ehkn_8xb?Ll?t-YGG{ZT(gYHYO$D;Vk&B6f#3N
z8T%;oKVt&!J2{(kPb<Pte<I_Y@ho96^mnGshXqc<!sackioonLf7U^3j&R#xzxvXF
z4VFreKG=3u0i3xHe%9N*Krpel9%tLf0o4K$Cd%>(V6pRe(a9%E1Ye$C*2_FDSjkC>
za(yiiE!zqQYb{m@9iF)#bQ&)l*x~4u;U*7XDp)fLcp2g1lkwDD^Zc;oc7a11n>-x7
zQo1qbJ`;$m^`3omRuG<g73~msEeEdF)ZK}@SwK$5U5>6R3@5s+zTXU&gL2K}yFX3X
z0G0#8a`;5SE%zKFyR96wJEioz-Od5|t_-GK;^MH~KC^9$yc~pQZ@ku#$_2W69eUpH
zkbvO>_j@Y&<e*yZY$!#67yg(Wp_x{%hbuO_R|$SONFv&r2M77#G@EUp%rO~AzGwbG
zK}8PeOvgOS!vw+ca@Nne0$C^sddL;&DhC%ne;`Wbg`rUIz2i?Sd1z$sKPOrs2R{^3
zT(f6HK;T+xl>L$d@L5(~Nmh}EzeT13DwAR$a$)yWUb7O+DA&&=G{^(pDUvx=QUcs#
z_8&Uhqyq9MKHoc+s{nIF=r|p`9(11jEtA7)@R4#UNBFHGd|df<%5zZ~yyj-^%*blO
z)%>2Dd6LQyZ@2dkpQ|j4zK$Q03($hyhEX=BYE+=aB$n}CgB*Oj=f2J402MyHPxMmw
zqz1}vIrBeuD?kOO)UBOYX^=IgDluxT2{R2^w(~QJaCFwU;b{pS1o($Vg~YWXOv#d;
zGea4Q%ZJ(rYIT5vwf9+x4h>lC=&_4CRpG^x`2^Q;U8t-+u00{H1CLEFr@Z1;2fx})
z?nl=4;}V~nNR_@Gv`+bN;4IaEPMScXA)h|1wuH+6N-zM)&!IwB9VyVBE1Yu4ULT|x
zqOPcM83Ajti5cac7H}1r=s#B1hx~_0PwcZzKyk$?V-o`vtXD3-($CU^?3`NRH?{<n
zvk5h)MN^>#MQ%D3=)#dhv##!c0QiG%?A-f}3Tl_6e;nGP1ON5pn%$MLfJQYx(^HF7
z&=h13(o3L0FMHKSBgz`zB}80?#;G9SHkGO{ss%lgeJN=?R!|bz9WnTn3cC5z0?&4;
z!)dqeM?8wHKzotlQG^K<EWPNfzUP#nWPU-}RMr|Y2LgXxqHBYYM9-(BQd#J5Tr7!l
zvIa)u_WN$PC=lL%Z@8UU2PaEJ{ZDVQ2A`4kj`%VS7^rbyw7$9aA3yzP`(DTzboq6k
z^XIC87oW-{g*yz8)F*xQc8L|dK6!zCf3ON%CC?_+ZRjLu-Ih<gjjbRi@Nc__rV@l2
zUhv-@F+wU^u>bs9U<v*T&DWWG<-z@7>DH|cD`aolVc}UZOPHA&^DWMjh3`5k-XB@m
z&`vq0G9cUnqPOVfn@>o=xx_lRvvXW17w1u7)oBh4TKtcXe_97dwcfq7b9`v78!Ojq
zz1CY;8#Wt{i>$rZ;r`h$0hIjWX>;T`fPi-#;7&ncDcoRs$yg9=6(X-mssgZYcacov
z=7CiXEyG*6f_TyArs7LG0>*NOMR`|Qp)^(}PxzZ4vde}SdpVgwxMA(ZKQRoDtMMQ=
zYAqiznA?+e$P}>EV}F(8KSC_sq2pDlAjZBIet$N>1kzF)kBWKzA)1!!o8vAEVrqWy
z<m@YBXmyrP7_4n0Tm<r@hTH_vakyK*Z`KG5FY>89nk*piHxPbLwFJ?5VYbf3)Ck@_
zth`p9&_M<psOYzG2;#5lGkH3fH^Q98xMaKiFxhiZxpR1200Tvj#Q*9ygtpQvDF=5>
zk=wV9i#iMn;48L-i8LESXisoov19*7TEASd4WAUix34*g;Q|8)$)dF0cU&ZQi(TL8
zC?JTGTqgHzG6rzsUVzsV(^ax1rIjXQEr{RtYAeJh>%;Tp+>YX4Mm#)v`BVQ@K~zf;
z%(oWQ2S>3Ky9#w?47eio+;c_{<=_6{3Q5+3oWOQn{YDn73jJxXenbev8+mpx%IJZ6
z{^Rq{4zOXl;qKK}EW(Hpqxz%yy3p!>^n~LiJ049heS7|yFbWR-65nE_3rWv%?_@@D
zV&OyPd#vFiC~B^F)23Soey~PRo4L4g)91M9oIRpg>n?LkAWjF44laMsPUpe?QEAV?
z-D0TzyyM}twhp8oRNNJ2!G}wh*{`jG#Ie}({CoQzI`kjV%HKP~kM#8=yyltfP*Nz$
z<?KB=+!DV1j<-VqA1%(^-!>_M{|(37Q1GAwb>&*@t$IOZsy~gLZtGERUtIM&bvl@w
zxt8KzBZOv02DE7XQn(QRp@N@*4z<Zr?JQq}@pz(2!Ttmpyzalvvh^1Y?u0oyz5FAB
zlh%((Ib~V=#g{R#SVx2F>wG^Ht`oz1fmSL?qH?IAxAZ)sf(G9@O-#pji6eDaOje1Y
zJU+jrTpw6N1Ao`jG@Xa*uqEE*+LELK)|mQtvHqYzioECGDvu;aS$}<4uC0ikKlORz
zS7>l?-+Srkxb=7}(c23gl`y5u=a8Ka9Y*8Jyp9P<<KExiZ3f4c@%?%IlH71Q_-|NY
zQ!kXkQIGH3dG}Rt^o?QWN;4hCo@xHoq{`xga8qR42URT9kbRJ3qXYDvnhERza#%w>
zsjE4uhT~x=(x)5N@(ke;+gUk0JS3K(%CCV8+clii{dB=fF}_%~TOR!>Xm(gy69fMi
zxcJKH0cjp9>(Hox#VkZ+fd~a}9P@kfX-p5st{*g5ex-;7RvzCNMk!dKnQSKZRUg{S
zH`xzmDWP!i@6SW2TG+>ar}WuJ1L!E)?PeOMjHV-tf*)kGacn@GQ>EPy${35-Uc0KG
zSVsS<lead$R=XZHJhKso8s^=rH>jeymN&_DL>nVFE>rfeUz^`?-k!uys(7)=@A*7k
z8`*SH{|(ugz`eG4U8{p?SieXAmGKiTY&$2}zk0+J=3j4Lu=%Nm#4Jtn&UXrS`y9J*
zF3Aj*K00Y1r>dh$m~re3sfjQ6ee|Us5O9iTw8_(59c@2Gq#oU`f#b)p)MhKd7{{1X
z<^gql#vVjJRHKG`K`oE6%K>=3yIB92spDDKpXBJ03Vv(!T@H{m2Up6&Xp0FoRMoqf
zXw0vSRUh;$?jA4)^>X#7g)lWddu2ZUC66M`^|djq-ZTfB17o~TeyC!}s^}*s7I~zc
zJSAiQ(i}z|q>Xu{RB^mVkYr|-#gzr44~!M&z?bKm`pQfINI<v01)Vb*pK54Iq4B+K
z=(*<6Di3X0X6%$Pd_en7-<5UP`YnlWm}U+GyxSa{K?#Gtn13xX6~)%9%gIkd%;EF3
zmr57a716_~L6*l-2&dn>WlIv~a8>5X2^n4mjNEEh!M=$f70Ejpy~_Xr-_r#RM&;1_
zSajTKH5XoZ(foZ&F@VS4#`5q_vS=&b6Vb8AhIHBpPk`6j{vW;YVlZd}7G!d6x9Ma?
zjljx{A_4#(Q|tS<oTbsDt?r=Benyn=dmWQ@lz^|%txvx?t<A+@PScAcE2N<_e{nr&
z1}t?UQpbEH@CoPLnv>#7<j2j_xfeWUz&v<PWFku(uZU+yZdG0&eKNk(|8p?~hs2AA
z?N&um_mIly;rTgo<nO)wiiai;mV2WhB}xRjbg9D;$LB~cdR*h;yfK6wyUDM!K^T)W
z3!9{)=g0&JpLAPCV~EzG^7r%#qUG{01rdgMa#P~?Nr@aIc)oP|-Jd!E)DIiU@)(>a
zFB``%k&H&bd1ABkg&cm=Ha_I2qPR#d@eUXU?cWHqb(ZPI|9J8GyPYW)9xajndUr{?
zDnn4;tJBLJ$Ah;y!bCg*R>-Tr&-Cr57(zyf{J{8TZoJj7i?*o4fch#5akaM%px;<8
zt<`}G$(m}N!A*?#@?=K(IW7a>wNQUw9nFdR0*V73g)*U}^e2w&Q~GcyE46;8hXWZu
zE2cS?F{4^#*I~-M9+>>+ZkQgzfqGo+HK~HEI5hF=hsFs#_<dTo?wT$KvNmTtS~<mr
z1!?ojh4Z?wVmEy7i8Ke=WDf-&VCBG(a)lp_r*&arCdE`sn*(R>_<HJPapF>%mvbhM
zE-+7KROWhfpwv?{A*(&y=o7V#bV${KbGb=9OH~{=dZ=jSg*GpyNl$6c&~?CJi~3uy
zO`O=eKl=lN0zVSYeeW6?=<q65+}mf86E%|gnt$IFz`=15F3~_bNarP8=_=<!J3OOv
zagF=yJG{b#MCjmWd)IfWfE#OKbW{Ee38713gSZsZpk}bIj=PEn8Dxu}J<t-tR}pyh
zX7Jj67SG?-$-swWJ(g43E{dW<y2;~34I1n=u+Dcmz>l6yhTKUE;&@$yv-RsADzx9+
zwfRe^07ft*Jo}fp4%ev|pLkb7g{bOL)dZ)tzGC8^zicFlDudGUr{bybt@S+bH9`oT
zH`FH0GD+b!7kT|&Pb$3AV32!iC5)3ER!8TCr13foME2NG;cmMSTj4$tJWqZ+{eE-<
za^&}2PBNl`WN_TTf61b_dFaCF&m3|%wxp1+v2pEug$HVGU1GQd!et8T^2joFzLwL5
z3NN4Od)ZsB!`R_><(pj<Fkxv`?8(}_G%5?<>Gu+7{jKA=#Vtj2jQ{xZ*;Oit3)ElZ
z-?JV=MP0wS_b8!lUsinkXDZw~^X*_Rw=_1!M!1>ktKhrDFvD>b8oXom<T?IL27d&+
zUA%Qw6_33wyit=(gJHhIVyiB)$mVQBRUK7BohzlyDw1@#A=O&S<Sd6l^#jULHX7J|
zMWgX?86Bo%4_7?dC65DhTa!jpG|{k(%RTG34&<obeb(-wfQ<z2f%9J}D7~a!IOw1Y
zcL{U)2Y*GBbS$cpoz=o?JiZ!_2t7Ea{pW!|xDpzcMyG{NYh#)vpNZjCeK3mOpPC%2
zj4fwWZ7lXt@vP}QPeYgiFgLtCa_OuJ(zEr-mmX44*WB}{bD1HqshlvrenJ(eGq;We
zHB#|X=bfGQJVuc5wb=N>E;X#m+g9<So{G+8eJ39K83RM)CW2i`9gik!M*O=+ML9@Q
z<7hI0p4f&-g?H+xdTaN@cY=!XJG%=>su@hEdeH1Z14E;iZj7w)E`3v=iuYLp?9)Up
zZBEv}$6Sn4^0O37T-x~M@jd{au}ov}vNcXm)!jNz*Tms)hjfi`0MRF+QWK9gFy-P>
z?_D)@3{!o7;lW{Z*jLBWNBU`Cw4j)Mz=#U|EAUzF|7Z?o8&wKv^Xe!y^u{+NK?%>;
z25oH<vjF#Ii?pI$>KM2|=#j=+Z|Qe7Ouu7e0sBHV*V&y{LzBqcl*D{lY&mVkd)mzc
zqU?=#?7FUs7Qfr#9zT}CR6(I5V=fkOc#^T!Bw7XK`;Ul!wOEIA%Y|7b^R@g^$G+LE
z%DBDygUfAw5&TOv|FtM$0apEG@z42{aIP}S<YS5e@+eyIU2ijonxvt#(Ul5#!$4;>
zw}}g{RfQ+6Pc#S1S>FEf<MOB<BF8AYj}@P24Nu=UUgPGA3rA*^<?wTpkHPz|4EWgW
zx8Bb#fQbDE@(z(3aMmrYB*kQb%ofS+r^f(XmwHqG*+v?}iMSJWt~2D9D^~*U$^i7s
zb2Lv5OCnE|Sg&5;IJx1y?fLB?1PI-HT+&gv4zHgkoBjy=Ce<2(0#x$NAR%_PNb#N+
z$|d+6t2*6B?z^gAbaucLjE)|#TP_emkEJ~pnfcu$ca_AY5_wZNz*+GiY*+}R1Ux?{
zZtfzD%WfIn^E3f#afVAT90l>``!-dM^<8A5!PNe`9AhYCOQ@y1;Kw&YgO7cGb&-qx
z%70SE*L);<n!izs7smw-b@ci4kTJF8BI^J56eFd2;YKcWcjMc-e5H?c@@D*+oVXG8
zNO+6tRde8QcE-m6>L5Ao%*gk7zz|9bdA0~KvZMK_U6n6&he>93FS$kwL#UD>A0G^7
zMV_Jho43!6l23FeO+vB^;Py(Y?{5kV+KHz}u3VfTqj{>N^EnKlHhwTEM4TC4rtJC<
z5Hv-mq@TFr7OW3>l=&Pn9VU#tu=`t_?+kg3uZ!KkYt2U}`)y^S7;)#N#D8BSW=Ua7
zi?ZtNdcgMlXRp>21CF(@bK7Likv-DVT6;d|Leu8@0Lw%M6cXlrJJr2F9+l>NwSLV<
zHop(;d%leUx%|rZk8E5fnSE%rD-}ARa&02Sz<>dx1@fH43RX$}`;Qe?t##mFYvGqZ
zQwGdYFFwN|$B1u($84q6_>vJ7WI*#`z^hJ9$9STcFkLC4()B+&{C;J7YwRHdj<h5W
zMvgLL<0J7mm4h^pcB5Nt;%3B!UjKZC5LO(_^*HAnL4zCCD!Nq(jM(^AiaA1z9Z%L2
zo;)B-19sQb9>yw6IB(-{lcSjfgEY4GHa?|7rm)(0OBWN0`Mo%`{G1D!es$?IJ5gcJ
zEr%STQf5@#mzUG~f(L_2v0?kDHXxPJ<wZUVa`aayo$TgA@QV3Q)KVMrha!%Bt6)X?
zPl<(=H9mG`3zlBW(t_}gvmrHeZ1|S%#rmdBLG;7%6UX`2a>Z?i+S@qrw}>CT-dGq7
z_Nki{#8V(v_;bZ*11D;;7f3A@i(s{b(nnif3iK-t?NK<&jSs?B^X_gIL+?B8buk&5
zFnm4vsG2D+Qk?Iy53#Jn(8`c~t=5{rL&$x)sLPM`c>%k5yCiT+$A6dEmNZ~nq(=Gb
z69LRyN{?UHwI0`bzmt)u)_~}9qdFRGf*9G+#?{FtgPZ-_IRbMu-~?OqSp#WdOsF`=
zGpa6&8?mjRB25D{?#EjtuJt$Qo*iZOmctKu2cwKjG@v4xs+6!Gii|mzM_XRXBWF$F
z2j5{0m^}3|*)>HR-@2x=@JlNqt-mbQ*-{hSb{yV2>nMSDc17|Rrzl~h|Gg6dm71XY
zOWto@Wj!k2Kly28g9`4iiw(FIOaZ|+slzd{()inHAHQOmDn?NXj!bOVf~a$oG*-h6
zXj636L~^hCn#bsujreMVk>-U*S6;|s;l0W&Zfu&U-0eR)?y<)A@x4pAopRV;zkjSC
zpMv)Z#UQ`6zTtIuOw~t70hO2C?u~EK#%xyyb^bMOM#lYozG15(W;&MHEO}G0V`J5I
z4~h<OaVshsUQ@!3_PWPABxq=pcU$kzL0#aCEBL+sn=<<ER^NTGh=%76XL3zd=s{&1
zldhVODt@A?^<P${qvCUE)dh0{s2}EQEU{9<M>{f|xkBkEWAvrsbf+N%%>LW2?xl`f
zDrLU2Ceg9kyxp?onh^{>2rM%4(ZJO*?OoSH==kR51sm_}CZIL7yVulC6D7(v9Lrcw
z$H?gS0=lARu-iQBTlS(R#$~zWRmIS-oaP_L)Ib1pCF`Rr;S@aTs5ITZ#^2-3`6GiR
z0GaP}GhN<N@X(*v^9&l=IN!Kn@$0BLEN}@hnpaTJx2@<zVwxrfd1ogotZ^iBu+y<A
zmV$qC|9doDrG}v;+ieSOT7b?+1qm%?3YISDHVT(1<HMOg7PWZ`h;f+Rp>C;(ZO=sR
zeo0Y4*P`=_ng*62wz7wrZ<7WNhQ$p>g~{Tm$*VrA?Uqp6agnOC#&@Iq%8<DkNxU)J
z>r%Yg65QL#_TyEmnD)jjOM1U3G7B#83aeW}Nu=Q6i;gPz*J9&r{tf{=;&pq&=P?W5
z^SYMk`%Vd!kDO7AeanuzkC#JVrCGoyX_vYp6-AUEi(PXk24pZ5s7_ep<~&>Gh*5$(
zHYU#67`soCHuAqR@2&Cid2mZ&{e&z&ZPL?DZ0RQFFSGT%@G%E*524qe-^-xDNJh7T
z#RKxJ<><4&GXQqal_*J7>#=Bdiz~xK3lZZT8~ouEK=8=)T<O?4Jh%MBgSW4bP%_#T
z#lj6xQR2R#!AcArIrdARjvFB=4QatW+635*y^go27slVyuiH<4A19u&dgQb?nnB{;
zqJ|H#f*91u%F?brN!U+UNlzX#1)IwIik2OGC|etGNw;8<_#8dW@HWi^ZZA`Q)QECp
z!dJ_r!OTfw{$%FCpfAR-+2F7L?R<93{o?Vjh%!k8Jhxk1;5LSn%@ISRX)IWn{&VS{
z{{+GFmv)=F*$C>4Z}iCxGGf(Ez2Z+(V?+(FbzWW4M)<W`w?=AVg^VMKD369egcI}B
zy_3HT;S0yQ?7J@($l^s8L!a}*gq{D@&=Hy;Y;QWe+&eo<a_iT<2{RrdDhS2%O&1Kn
zxA%{*Yr!<hR(;DvZmyrG^Qjc;9MFeh-Ky%&rU~-+Q_2(W`d-4e*dX<j-5T$pBzG$N
z4`~!|ka6NoH*uJ`TfzIO9*BN(#=adxWcI0{{<@rBgzmk6oB@)0uwLKneD%#fvh8||
zm$Jf7qV3Q7Q%^7Gf?#BkcbG>vscfxzE`G9&Xp4XLlW|!GG^a8?^6GVvGP^%#zY%O9
zY_{G1W4zXrzq6FyHa*@(rdhE4Op5tRj3hp_+Bi-J1>@5*)BC@X!g~@fA2<C>1pm78
zuq}WN4F{PYTp4I0rH!}qHO4d&Z@+V&T^y&uoy}XGn0>D&{|5j7|Nj)1c{o(>8^$I3
zzAs~$8DnPbTW0LeW64q?O3I$1L@FX{N+glW63VwlAxdeXY<Wl&LWzW;Mat5q6s3Oi
z`}eud^_=%Q=e<AoeM{MHUKkSXB96V8h)s(&1ig2jQ(N2Hn;GYg)|{1jNRU#DmihiQ
zfbp?2yR`PSHe1@c+uzE3KwJ~Nq!x1206OERw?!s4H5bepxN(KvC;ZkJ8)hjQzyRgf
zqdLty&7V)iIsGnaA!cgYEO&Y7L!jh=*R19n&D}q{PWKofaplGS($a%^&^FsPxl+Hf
zIXhs<{jJPB!bRv1Ip>Bhs1l;2ee{y%G9pVZ+`W<5s%=v(GN}W7b(AR&k5kR*ceW@O
z2{jPC_UG$AQFWj_Za~pRBenVd?)pndSoMSmG4fg}NE@o<8^fc6orpop#P`CF>WJgw
zk>A#rYeBK}3Q^5psl@BUN;?ai>WE+AExjkdYJx|~V#!I*TteSr$2+!YJs~&93@!&v
z=(Nq+P=5Ffv7UWdeb23WqIBU+(cU}_*!_&`_Tt<HLZh+yEmSoS{#|^IFJ_o<)iX@G
z)3cPga!g&3YoU=ywkPS=Ix`_=>dZ~wUzdsRYAG*$PTeC`*zo_HsboObkqRE3qN_xI
zZlx~W4vA7-Iweqo0WLzVKc{Kc#J990a!POuF~M)Kd@ha-tQ9*N7X)t-E7EWL;kw;Q
zOeuwQXH2TYg<o#3-|^liUam0A{A<ugtQL8_PjHhuBoztu)T!1I!v04-#g9E87Hn?y
zdiBu2!6K(H!RIc~S|wSldcT8Um;3JUaiqcANaMwo_v?w37kAm(jz1z2!vCxMeP0bO
zSvg-1^J^k{!<L`@Y0*ubwmFOxdo{=x8BOd~K;q#k_6NDq9zwE0`0A|=Dp-oOrTx6v
zLTuiBsIlyAAJKnyo6T8QDh!MS`sb{_Pq@E7@x37BDX}y6vVPYP1&&<K;aaEvfUxV@
zS;TaEMwHjQ6J&%?V7Op&inmz@VJCb!Ps4SPxLCWooIOhh{zbKu4zZ62H?cSezO*4?
z+ovowLm4t>|G29Cw=N=b=d<)@3&Vt@t8=}AjVj!oG|Zq~>mgJnnEjh?y(H9$<Ghcf
zRDeOdYjfvCAK`vK=3S}pIFTJvZEJ8<8JPBq0+9BUSYPysE-dthn6tFM#+*`uluXyX
zZvM}R*4m<mlJ{>3?hWx@&gd!u$;8A~bjKiZ>5-3b)6WUwB%P})E`|g_2aT_@t_=~s
z7bCB)vim?heZeh!vrQ2Mu55JGHXI=y#i+(j_f8R`Q``G26cj=E<GSZUi!X^-KK2N2
z=`2A^d(dU}D1fDqbWY%ral$%OWOirp7h=BOe;M@3!!tLN9!cU2!F8cb+k^g%P>9fI
zerzNUTX&6>^D^EMJ?pqPt&{&woIS%PJwGD{TUN#$th0Sj9NPV=SjT3bxKC2Nd`L(R
za_uI}UCw+UB6jRvZBy}!IQCOzN;p{-xSu5CoM2BA$_?wt*EjqoRF=&tH7&@%;%>#Q
zROL@Zi0j**o8A8sbiHLWOYt&5Zpr#$QTc^%-(;66^MniHHeOi2ez^?Hht_;Nxc3{8
z8Y5pCQo#+Y2HIYP=Sss$`~IJ5k>80Um(;>#?(jgc@TDZ0jx<ya{gRx&JWuEu`m85&
z@x$dc_xrMYq@eME%FsUY0&$=-^p!@YAW%X*PKhQ;f$fVI?!%+MiMidi=1Bn}aByAL
zF)y|h+%C-)lKuFX__O@EpmLfxi10rb%K0Y=aRT!P;~C2!UN+^Oe~Kiee(7R_4okwR
z^!_1P!R0U!BJ%xXlr-qfmv7PQl!SW+K226pdEwLn8(%1vg?&AR_m-YYf>O_<zGMtP
z{Cw<wxrIvs9=4v-np%(q1C#LTED<3H%q<WUEGL0AJ21#-r4)2b^hSM{76HwW!c9GS
zD&Ra4+`7L}3jDWEC0-MifEt;{Vk6rq(0#6alSZgClvkWGAf8A<-n}-XG(9z-O6qPu
zvOxyyRFv|v+N7aWFFT-;q7Erj%g5K`$bwx{YIf4JEcE0>jZG2^&_C=s+^-`K%bU}l
z^f@bl`OLxNPqQ>2u+M*bmzg5ub1jQ`^M(XMm$`gn__Sf^G--21j}r71<Qw|bsla&L
z%_r3rx}bh#x3?`H8Qu|E-!^m3Cw`aFYiMc!T93}=#O|j;U8bvZqNEyx)Rymt%Z4EE
z_{-nNA86oBB(*lYpg|9Jtj&Iv6)@}=aOBey24o9XW;!&{q0>G*&i|M(s245-wmWHo
z>K*r2hIg3o-TZ#%%a1JRR!dlMbdw&Czw2z{MNJ?XpIoz+Y65ktfqg}3hR}2Fw&d!^
z+VDn8=jnM>Q-IFBss?(-a4z<{-^wStK%c$oZq;cD+B1>6X2~Y-c_Dl9Q@uV6UvYZ<
zPS^}|lBZwYbTNn2rwIeb4F;fdXisbCV^etX&`fmbKPw2gk|X}b7=p&Xc{7v0CO|7r
zY^28nl%%udMtP0k<TZwkSOFW1M;~hI$lAh-C9NRzGlHP9*IY9H8N>NkV;|3F+QCSb
z&s<}S5hy0z9MGZ}f%L$WS6ZF+Fwnp&E$Lzea(*AToj<7u-%b1jEL&EBYF=Rb`%yzM
zJUeUkD4gRr-g3vbZgYTEi-H3gI)*T~*+<P>pTplv7W5<a4sb$cO+LS^0X&vkpUt~L
z0S;Ad@~>`o0J2@CMun>$)E3MXUdt2$yUh;$IR_oU!Ozqb`n2J4OQv_tsu`la&}d-2
zm;=m=#`IWIH9_vi885EZZ_Pfsx!?7oS3(XgT>0-t2Arxa9`A1E!x6Mz8QW$LSS}!J
zkwt^Y<`1>+o|eG8sGg4j0`~AQcW}3UHwBK3-om>XGH9o^&)R#H9pqTtcSv$k2I0NE
zR=@q_aXv-eS^1<bj8lf1)STpDbz5fCNmoT|zA~NpW!we~{^%NfEsz4?)%-(uGe}q$
zoqfsJ(gv=aEsg9=69M6Mu{FAuN;ota)G&Gxz~J8=Yn}ogIQrmFgKVY}QV&EYeUJwT
zx9OXt-(Muk(gx1Y<tgE~+f$(weF7HSLv~Z*rwPjT&^m)iB`mr6TW`tU8cc14PF*!Y
zVp|Krnr12Cbey%2QG^vx4jc*V`ZC^pHU4+gz$X&YGq|P1Dl8$l(x|X@^lNiUenGwP
zWfEEo2L8J+X94GTWjoi}E;ff7^ptdmlCa*%^(4#10$7i{^fTUaVcy5qzl!E06v!(-
z<95RwHhA2s7_{ZVr2dLpQxy_kA=mWOQq3V|$Jg3y7k(tapSr0aM?z(v-|i8`W-t-Y
zeNb0a2s_u(PM0xAXnA+7V>QJL2KOIbaylV`llyxkh1ZgB-KUR7C#y_BCq^~%@VFRC
z2T;>q=8!N*!8fVG&J+YzH1u~LlE4#X*={R8lTd!b$f^3Z3HW}t4^vN<#9Nm8pDP3_
zp~sn_zJYWTSf=S`ZLwbpy&tJDKF=wkA*mxooNWR;ov91?;nEne_LZ;h8D)&UXsEVh
zh7F+;w_7|sWe^L46UDq$P_TdNF#i=c9FRIh*SC;Gg*EiXGJRESit@@;j%33wlG(Xq
z6gh00D5Ab4k&)*9%xcDl4Jt+!{_*_sxXJV6oUJGYxyp(!J|wZ>yyi{n^{?`%@pxG7
z#3>3o`j2^uFR{Q+sq1h4xB`A!HCB_VLB-6H=ZBaat|S|{|6Vnqh_L~C4{NnjaYSBo
zTk;qSu1~8(759;lW^A!}OOP7gj(D&oW1IyVe?Pbg^($ehim2#Yej57nm_*#2VL_FM
zr&QahGPY%m2x#7*;ncB~rUV`~c*h)+D4SJ51v{~}cwcoK5q(%}ron~@{giqZFB!jR
zj6HtEPsg;N&9=@P*|0H5w%1jXf)T63&MMxZ<JwJ(E7N&wh)lRyxxR#ga!r;sS3Mbc
z=eth4-77Y{bD#e+ZcN1i?aI-iZwxdpt>SSpHi7=~>{mZJsOb6Qedwh$CURXd>*_sa
z0{>+>UJvqC!__flr}sh{_<`rwBY$2F0y1_pA55uXhYolAhGY%gv+3=MmC2^?H7!Ro
zYab1lJD!cZG^T+bOUYh`mYac-d`;b-zch3+YK+d+(8R*e-;Q^jFoTFt)m>)E>iDW^
z{Yxb;O+0QiXAwp>2a};A1upaI$UXG*_lfPAXreoKE2`NXstxt!SV45$9cfbe&|4E-
z8g?oa`dWZ~#O<CRNXH}|fgoEQO>}EJblhdp0xrd^VU|lU@HT5WV%4YyP8Pe#_vc%}
z^$^*K3^xXzXBpPWhG}5A?CNZH9V-whl?);!GB7J9{_@ioOkDA_=+kt)6}<GS{h*f5
zKx#du;;I%C*)iqR*VfiB^@B3mRm8yK1Mw;t$iSR)jP;jmtU>0%%iEVT7`XFiwA8<3
zI*!^d?G#ZVAnIYpv*xV~EVnm&!GBC0^Wr<b?4k$=pS?D7Oq+o*by-)wWYO?i;*{9G
zS^^|%fwFvzjt-^E&xxd|p_3Jl#=c1cl==34j6Xm}<^I#7*W#(DySz@G#SPHb_gUh)
zBprV>IFi0bQqWe^^RzHOz;h)|H_B7Tmb7=l%O_NE#@K9iA?JAo*ThdH!s__`0d2*?
zqB7c<*)}|yB0xRd_LN{84ap_i-!JGXp^Z)74I3n&WKn%_?U));3KzP!r75D~zu!$d
z=>(J?OeAJN4Na&kU9FcZ;QhAFbJjKloVF&dG(S(p_}fAyw=3naLT2P2`-?Rk-RKv%
z?;i!1iOGb@C&}Xb)}HTu`PPuDyK3XjKnm`yIw|pAybOla=PB2&um;|d(SVFhGTt!O
zswgOt#``&<KG9uPoPH6ZR~)E{ho0|PET5CYTCvK%iT+kl9eCX@*iHpUoPNiD3X{Tp
zXHy5|KUu=refxq;*vfdSfv?|0Pzt5Ow^fEGSi;+8Q<3lHN*JQ*5l?$0iH9@yB`5P+
z!p|kXOqq2gJpLlL)2>1imA4P880T7m={^6Qw~`f+a8{2sDVIbSj|zWxvISh(+V!xY
zMFG8c*7Y=^B$ji%7*D-w4!@h@#z9d5ALQkFG|x$*+}6C25DRlC?c8wh>tT7Eh0p1M
z)>3Fz5H_6DZ3e-r7uPik$zwqf-<3aSr7#M>);7=#wl^;C&%7ju34Y2X9T{nCe3g<#
z{b>rJuEOGa>*bJH7fEg{mPSu8eZzw%P2q&knMNN)IW%UTzW&HW278|c6D|6tKwr7_
zNb{U5rt$sBJMc~hi(E++)=y2~>cX+b-*05mWCJ6_y+jt92Xmb~<4i!x@}_q6ds$p~
zGIq3kw;Uciq*%V0ZUPApeAgxXmBp8J#!2Vh<Wa{bAhUIl4Zi<+&Hri2;Z5dZz)5Qb
z9M1Z0{qQk1NPP@C_j<b=dUQ?C?Xprt@w@%%606z3efCRscfB0y9ltaw?n1)zFWX=A
ziLqgUZ>fDJSsq=rL!+&BDB-7L<9)|puwdntLFMRE@|etCWqGqe8Hp&zh>j~PP)t1f
z?Ic+NdwJ$S@EJ#vjs89hX)LIj-&((`UID!#wD@kSlF{pVVEDD|ED-VEn{gvV5$mhW
zeD+vS&?-+!A!a=b-dbnZ&Cp0#GtIi)HcP=PY}M@(&MZjT>hWL6R}$_akGh>LrDELy
zbGv-b{Ox9~HD<j^NDdt;ljZPV+u_I;GG~vlD1Y%>gED>&@ebruqoM!mfom!|SYX-V
z=K7&l1yBBM%oTV?!<W@bmXs_OWV<vq{ko@$_PXqj&@y$LQ?k>qs%OFNNv2lEQ!+|#
z6|rM(qhrd7l{_Z%EHIrIKe8c~f=eBweN!|B>WH|E$q;OK(ZJ;0BuvG<3$5z~h8Y;1
zUd|tv&j!Dasu7zDRP=c(Uz~cFiHoi@_mBlPZ20ZobH`K-#}oZDNDK{JVYKSer5z^F
zQzt*D-=~ImSqYZTH5yop-YaT9n83)v0=wB@8b)UYTnIPN#Ee~SGF_3TurI&Rl;;->
zw>1ii4(4j&<{9zTb^K;9I&3@VpUUB#NNfGq5l!q|MfLbmY6k46TQ2PabYyQ_<GY(z
z3m@y<N;tmS99GQ@T%1jzqwwgfl4wyalyUIzV9%RFgOaLY$`?B7?*DP|;a5#0JEiFp
z7dg69`>@A~!}H|Om(koeG;uNFd0CB{B?P<)<610cphQ+zZS5*e^i??4v*(v3%<UZO
zd-R<1z22UWJ=v^*BDc7&8K1U-4M&g0i~MEa=4A05A(9%H9wqAZ$j};22i;gaB*sL!
zH#b!E?3gHWKxm%XXbnAk23<k~nD{(3W$E)q25MJ~TNJSg*d!<EzGIq!nW9q>MP76a
z!Oi>wX9+M8)Oy%+hk?C}e8~s)>ZqQ+Ek$XLfTd!qa_<NRE@=c@j$zO+`E|%SHAR4T
z|2~}F!11r0lOFe<aI2xL;hTncx&Z6WJl8*Pj*hk_@@JonQLtQ|uJ+Od0G=h6{#2pk
zj;N$0iNj<Rd0jo^!<qkFc3@O9TODcL1+M);DtII#t8Z2ZK+!2t{O&gzzO&Evaq(Be
zH|gFHYdP<|E*v8s;7Y^)v|2!m!?^_J;(W&<0qq?R3dSy~VR~v3*}qdBMF;aDEN>Gq
z9<YM<;}0rkC)oyS+sWa%*@I$#0trZsul3`1q@ov3^BtFI85I4x_Up3c1n>?k8|4>K
zP@%Q;0rS2zu8Tc5#VWQ27EiO_mN7COjNQ{K&?$wKWqZ;C^{hc*MLa#~lq$9-FT4-@
zD~Z<x?}gABtRU6qw^f#p3f}VV;O6$1#C*RQuOD_+prfgl>}9Bo;u4<EJl{*8x}SL#
zwbK#;F`oWgQ3?NUnAveGPXg&p@8ur3T0*vP@ll#Q2_yC|Yj_wefx1?{eD9xHz+j~K
zO))J_-pjrEmE|RY3*=p~ZeE;R;rL=h(K-cOidPfS43R(;e4%x3)EtCX>X*3W$zwy^
zjYB#oB=Dkzpyrb;=0L8ldKES!hnll~LL&VVxJlr!r_`(&OugBEX_>DaimL_s59>%`
z>d?p1#aJ_V9yvpv;c(bZ(NS;ij3nL-zWMvd|8?|j^NJ4#WRd@j`0RqJ6h`0KmlJZ@
z6qY7(+|ICM@tm*p`oY^$Sh%K!_p*U0Xx-WL<qVfBDjB`jx$Y~C9pcvWl3gY+`14>x
z>}weus1_T3D=UM+6}!9_LroxT-wmgG&t=fz&-EWX<1%<xK{)M>DCYuEJI?)nBZDs2
z))3wGvdCRIGJBzxldBc^_CMg3#h!=ui_&Fsm}h_Jfow1v^zTkb-et?8SLFVOk1xn0
zIbP3auOb_2?9JcB?U%)z4_1GERViT9zCJJdGZxH9EAriaA&VAEcCLk;ir6mpt*0QL
z!%x2QJ`E>1ywOoJQudRCpQ|ZUJAW1^sYd)te<X+g-B!*bEM+`keZIV0j|E_EF`ert
zj}@6llgCq3aBc-t*^Qs$7k*oN1$h)WdY-K598<-_Zz`4DAB^F6*53o?8x=4xEI?6&
zK|#70?PO!WG5BqYP3KNm#H8CTbGC0O*fM(B{Qg5@Fb`$?YY!sfQ@-bu<7HG_XRL5G
zlQY+mag7OeQ^HFrM(>yJR>PAg<~rLrdqkuDw1JB<F6ZNNPPd{VubXbD>a;O9IqjU=
zyHN#qF7Wv+imKxu!Dq|t#aUpMIkNtHq$*yB?u;uKQ^zJZ(bt2(0?(%kvfEFSG4X5G
zI?HN0{<s$y7IJ_En>shF&I_TSi=^Autw{{rLRRk$>0v?Jifd9uJXB0?k56FOGch1W
zS%#s_23${U5apaZjYqwjy-WkGX-BJ@PqD$Lyr?|YSq+QI#l${UYoLlZ_mY^T3EYjj
z6ti(w4fm`3=efyE6AfZC$rp-DASm21sQfq$XQ~zcxD9EdWlYlQa!#)BjN&)*(o@Gh
z7AovKM=cc4UzIWS#1x9Z7CVwU)R7qT)B97Xg(k0Gg|zNBgZm^*jOFmLf5D$q$h7c*
zVVtRiu{rGM{!>3XN=Nq@vHP@sE!?{7-U0Y*4y>M;?Pcp3_<7;h$(|Z5ESLT>v#!bl
zcs!IoTQ@Q=@5W@{hX^e+w8<OzvcnRF3NiwWB$>Eic(ZqSNfTEEUf7eQZUqIN>4K}=
znfUMJ;w$ehnmBF6{%SL51?Fz2T+8E`cu3+}PvQj)RDZIo=tQD5Oo(m2H=4=h_{X>G
z8x2gXUrL()B27SJWyO}|sZ6|l%%Sy4Edz~C?21`cL;$}{rfX*q6OWv`Afa1GN8aWo
zGhSYRhm~@D`!$&8`oMQzbBH>w;}Yhg8Ud7g?vE20WMEAIcW<C34S&4*;q1E(;9A?`
zJKw_@NH>46M`MzT$I>+<<F*4-Z~Ak?`ZK3j%tl6jE~DVJf=JuEJphx>W7-1)=-6Y>
ztH<|B6}N<!jVSK|;LFI)q@z0i3wR{go1u)xq=Lrw%>W%6OA@kW)bVSCa)z%r37_2x
zc^tnAAcCDAQyV}-sd;{K>jnj!3--}<&;syW+`(6SNex%N{#C=3Du-X&_`f-Gdc;Y-
z-LpsEQ&E+==uVrE!GjhhYd4h>P}TB?mxt4zA0Kg4-kTte+hiX$C=&$ab1KS>FbXCt
z6Kp{TDZDr4rSk8wHQbFCY_8kJ@vYk*dCOKx;?J_GnIE3kz*i&6v&5r{8%;#JMxrH9
zYx^iq+YskJT8g?Jys3-=jlp++T^2_!`Qu;ay{w?3X=mC}B!}|_-*==piedbn_va^{
zS;7kcfWvuCB&6C>hcn1xn18@5uW79%45(jCd~K|V`EL$y)#?&OdjGx5sBQ~LZtlLq
zXQqG>8%{;NxGRcV>I&svI$6Nor(2SmJURYXtt622MiiZgT(@3rH;1n0N|Pa(a`?FO
z#NHFOVmKiYzqrrA9As7{?@}6;#iTfepX_I1xYi?56d#(w;}eCe>uqFlRUtmJ%N0kT
z+S?oF)|dfh_PqJe78&fmN$9FrOQ3tOV`$W%Da>7Z{2|0!1}lATex$Wa;4UFIpTZzh
zh%WKHmmwsBHEPdtiUTDvvU#uU?QbUVGVrs^z!Pb_nqOU0D<Xv=qa%{C=_YWdW@e=R
zx-^QqqV3y9Qs}!Zuw8&+0yQUi?_IwrjX}xry4?lRc(<^q>17j#58EZj^sA(?s_#M3
z>KGY}u-UhJB9IM-owZlDc1h!ZV_dg_f@M*yt9UkAkPRgurT_acr>7<VFfa&~Lm~at
zjnj8n@M`_yr$h%Cj3NyrypNVgd$s!x72zxhc5B!9bwLJ|d#Bd66ewU<%G8pQ1`Ec0
z(;sO`%HrVb#->G%FWAoOpQxKMhP``^e0Z5Fi@AG7t((P_Fl;F333rV#42C9rf5Yh=
zE>}KwQbLr`emG7cHQgA5!WS=y_sd~^2~Undj|z4<8#fLF8AJZ3j}xZH<&p1-9Km!X
z<79Y;QL&>j1fQ6As^hPK{vSL#_iX3r>r6mRI@=gNhK0IaAr!IkuzDqpMa8+_2Vk9n
zF-T-wF7R8y(a*s!_#vQ%%I!g|tt?~6E&Z0#ZK{O-Hi!N9>5UqOk3EO;oc(XPH)eaf
zDPyKiwa>#A8d@ru)ZYm)hE?S{_f%t4uzc~g)c8epG@06a@JX&Qc-)Ck7QCv8(^0X3
zy6JR0t+?`eWv?;lSsr_O=`$IFRP%yNLm8+jZk0JhV!?m8=L?UYqhO%ry$4c`Ozem~
zcZeLrf~H$*!jxU8$Zyx%wO&O7qbvVvpL@-MAlk@9r9V_0d+PF;{6Pcdx|mBDer&kJ
z6MA;GN)1VRn`bpHYNGzjl>F+CY)Gp8s#e9}!&hFRf1S=+SpPXyKQ+w+e8`a_dgAK1
zpJLNRf3AhG-`vZ2IXUE))pp>iSI1wH?}Qv3v{6aaq`Y?06yWbbdx{?&A^Og{fE;c7
zF7j(SyV4A#ox^_h&eO5IIQa(89c?U~9qRZQZ4R#*cMX3_VIVc;xBlL0ZFF=s;OTR)
z0O#hRb5oq${(j%gme&c|ocsLeU7VsN2ze|cb#7y#XqfixI(cn;<|gj`{i7w|h4+nv
z^-Mgga-eSPkQNq1&o2GFWd%PL48kgYFtPJo|Bt6Fns`UVM#?G58jPs(HLh|RIC*lU
zwCR}!YS+*W&(jDfd*AV4i;@PmEU#j0ZDC^0FNs`(76P0mNGv@b4Gh|v*!le!1FKC%
zxV_W?T-8}+6@5&U`1fP3-iD5i5sMuyJ^=Gh-&xrQnOH&f({1GRL8sLNtY2vWTC@FY
zRw*#iFA%4klGSkG>~d0O2|)PySgE;F47`>wLdjC3;>HK<E(tdPyxU&C(&l2I>276Z
z=NK}cvEM#ma0_7Z@gkj{<Fmt0o9!+PD5GOs-$>YH0E&^w?zd;v@x)Bq)nH!|wmzST
zGt2={ew*y<I6}j<-rVt<r4{gh00030{}h*ZI2HaE$8DKiTzhZsHLtx75mE>#q|C@x
zh@{9U5%tYTW*Q`w5h8Vul$mT&DwR=GW>Jx!-@oTM&w0-0^E~JMdcQq)H`LXK133Ka
zr9Ry*je}BsyGLpGut(jY-Np*wXzpfuvxyX5sATskQXryE;gY8{KY&fYW=MR9B+?&n
z`sI<%jiGnb?C8)0Vl5OS=!+$gZ&gfSfy{+;f_H1YElt29d17s-OdM~Yl@cmtB%q<^
ze8ImqV@Mx3LAN0$h7abCO86*q;@8QYoo~Sy4s_N@JC%vxdzmQ?jRtn~6n41TQf~wg
z{#}*)wL=(%-ZWHGOV}_yA<0jRWCU+Jl;Z7H1yT8a_KC)itSF}FxbIAXA*@vnJ1Vsb
z;NjY^`)|Tok;ATHri#-L&Ml7<yUO`---O^>U29fUHVXQEH^Bgo)d|qdmGdEKzi4lq
z2P+0YY*i!u(uc0KxYu7>d2u44VUE3;6>oOlS9~6%4~NPQ$@csv;%Ds*4FN4Sygg;Z
zwKk;(KQvNyx$Gh$k@Zhy`3xJ9qs3EIz4U-;<F#F~jt6Te&ng!_XU8MM?Ju5x)P<qP
zZ}(^E@t|ws`p(i04ooU6oM-aY1<v8h74}hX)PCv{CcDUqJ520GjlSu?71e<YV_W~O
z`D){mlo$a`lSBFLozMZl-zRSDbmc~QTDMDwhY0wjYNRfQSqDaPztG$^=0?5%nr}a@
zap8U1pT~>}v?0^>wX2gJH*!zyDXR(R#yvEHP19Q1;B#E|_7iJvv{QYsNj<=W>GxDa
z#)q_^_j?<wM<_S0y7><7vnQfMZqVtF7%fP3+_>FyhZ{*DhARUHc=6*jedvm`7EJeN
z>D^o7M)Nyg%`1=bAuUO>_0^CjgnN~?HM;R&fKzywR}nw1OuM-Gr)$E+IF21H13bvo
zk^C=eTmTy`|3w`eP59dJ)TY#(h#7X|(;mt~80~)F4Y@QyHTT(+)jAP3HOyk-E(>E-
z*6GA66B=MY<6~5DpBGcsFHbPCh+^b5ox^({X@Kb88;;ZnKHRtT<ocg0V)&6KH}X!N
z21E^YCZ4wC$3gO`ODuvC*zd#8=bEemg6*p9g9ZZl=GUy6)1m}U>-HsToYH_BZ~o@z
z8Vce{{f<f70Z9y)JrT71j0VvAlcJLBg|Mw9?1l7WDeQd_I5M1}0lJbScSt9M@&4fb
z?6L}JbbPY6H?mR#A`XbX{PaKsrKM?IZHi@ZewflR@md3p`>7W{{Vj@)%+2#0xw2TI
zTBA<Ss|g1t-%z6+#nCe0_{oq=Ic({VdD7&m2@CSqo2%U=F#284v`4Z$J{yYp*Gbg`
zStxsOmtPWnvo472j8s6=P!e>iYJt(}ncaIwBr*CHVfw49A_ktWEg{xuLA6F1+eWSw
ze(fXlomVFz-OI0S4Lh}ANZDGh!BrX)Nn)uJ%Oph0u%G+CYlFPQ=bID}8T@fVT6j+Z
z8QV^rdm?&E2mZBLtG^nP!N+YT(<?GcNT2#irX)xg6knWwk#|WJg<trYF`QSz;Hr1U
zgQj|*;_yz-%SaA6L~jVKQI#+=-KA<%QXf8<m4~;E%b|;CQr$|s5}qo$C-aoW01B-=
zj+q9^BXH4pNEayK{UnPTrk@57H8IKTKP8WEgM*c}>nov)L-M%Q2Sd2jbgOgTQUMcn
zIhKEwkkRMwW_?zx5$L$e9G}iqz@aJUVU__B-t?tc>n|_{v5mso(Iy3qu>Gf()TfAa
z#s<Obz9x`NZ_BjYrhubGmxpg%SHKINOP;zM0Di;If01ex(748<A#S%kx-!Hy@VEiI
zDH2H8bw&Y8E27?JjL9PD@Xm>~YXIIyKIr`;D`3>MSN{7PWRR$2pw{0FaNgv6L2r{h
zveU&mH=-1Nu~H>+eFtFXat`59k;f&P%hhozlK4%Z65H?(pf6cd=jC}hd~W{T;)Jz0
zrU}3QVn%BUu}L1hNv~w_dzi_YIcE{H_PnK3^b_D%wWGTv{nj44Q%ZCH6U0fW+qul|
z0On?>eT^g;Y-^lwy~)InowX;&em(+_iCvxavzEp;*>1zUO+*a-5`28)0)V~J@y{~e
zQmE@1tiM{tjWfUFcp9Ams*dJ#--(sP^TkruRo@86^Qp_Zev22<v?f3H=SX0^#iQ}B
zuQ}0}+@jxGVFEpTw>lky#4$ycZ}5y8JBEuUwrh!*01S;h+WS}(gK56px$44-#AO%7
z*)(HV_FawoAS#0GZb|o9ySAb1?^nM*{xkw8B#t=b3Zcz9-M*euW;|wcyQ{_B2wcip
z)-*|ixPOgJICqQ*`&e8BCZ8KZOG?@&r`P;w5-K;m--ij=ZhU0)QZj@Ft9Lr@OZl+W
zpls!`9uuan3lc@M4M1ut+&26IFZP&~GUwVe;c{S6eaEIgsCaJMX^=_8ne8J1mDiat
z<&e#;<t;9Rb=>3UsOG^+>J(X2jv3zyCJS=D(*s|IeT!l9Te^MiM6J<lW*j<cyC=e4
z4_>~?KlXpUt+tj|^{w58{L22_VePuW5gVN&N997p5$DYhwJgX}oXWSuOc(S+{~Eot
z<-(<6&gOR`tQe;&xmUVH2d@7Z3Tj&=pqQFj>p>xQeDpp4oQ1g#EUo`>Rc$1oo8_Yh
zVjKsCFIf1EcWc9JOmQmtKLRe)-}>zFj}wi)D<=sb(1w7<W1I^K1T+pRN#(U8;Hys8
z-FjcO0Pn|GwVxy4UY~opfht@$@NK0f?2Hy{r+=<Oyg|U#ri=Z#qTI+LZO%n6tOZ@|
z^gd35Tm5e@YAA~GV1fG(w_dX*&@{_wND6SFDyJHySDA>vn%ZCZcx!^Xy!d6+a4wvk
zJ>+3;&x@gUJGwp*G+{>2U&rn}7fzkvd=a0_hvCnLKM23jfOEmmKKdW##`ya^89J}{
z@!x!mUrM|N{Af8`6}!TXJ%!?(JII14PmrH1+o1uc+1zgD74o3br|A2K3x&}5YH%pu
zb`9v`R?_(FO2o%+c*s(+BG~FE$aV5F1s;X1RwgL%qIuc_$sf-|aewgViHj{1xLJ5D
zuY{WqznIlCeuxss#LePfi3$pQTB<7a<>1G&d6}9nB@!4g(DRkIhyteyd?%+x1kkdp
zTW~Z}5=*lGjCya?jb*;|i<=6f-BeMPX{r>S?cC+SQ%QkL#!DlgV}$Sm{fF9|G--5D
za#1qupa8qYe>-~Hgpo^}-or0j206TzGiX*QP&q0ppe-+o=jEhdzPKriGI@KyB&%t_
z!}RF)gll4$JM>hY(jbQyWXFher!|1O_+W9FQvy8_e*~v?%Hyc5ou$DRH?15uDh|Dt
zz@o|0v|pnNc>0)(t@}PrXe+_|zh#p6(&)jXukRG`RM$89&G(uRL_4o7drAsJ!rXHB
zM@U#Aslyf*rv))=*Sv=ur17TVLCd5jGF~;(3u{-?hK3_SqSq8<Fy(b)XJL{O$}zZw
zny+bt!oEQ6!VMYh$;<iVudIxLAzuEq13J+1q7e(aWl=0gXa3neW#lJoPH;cfg%QEZ
zoWEQA+Z976*Z5Bv58f9xyx5=zXJ3SR^zW3%wb>U^%YrIc9t=mq9_zzV2lIZWZ}K=@
z?<Y(Cql_fVYP#kN16V&RLp~X+fSCg{c@_D}__$ClJiFHrIyU2fk{1=w`2=<I$+{8>
zFlG^P$Ou@AvLnK+6|tr)g~TPMglqL;yjib|Avu`NSusHolj6SIn4}{ky<Ge3O1%j@
z7dXuJBU=$&T#!hpRz$T`8g_1T0NFI{0Z38AFl&N(x0(X-bIe3sECLYo_<gf{uOh0K
zxmOsc%i+}CcNO2h0H_IFc5GQwz-R3lS~IU?&|{ugu}{(zzCS-!tsAF+9^am>zh#id
zl2^|UoVPLs0fUtB#*gy&g+5A*Q(qF*cUN}ux|>3y$;+k=MS098ytYwU7Q>JVb6Q~!
zQ{b{PPrd9ShhEC})AwEz#;2dHDxNu*LR6%7Ky{=n)_iGnaEuW^eZnOu(l!N&g<R6c
z*)3jdFIr_P;6>L9uR9VrOkwV&F`Z3{G(J&Y&M{`?K@X;g=N@AK4@4rlb|gt*M8I7p
zLI(jeNA<6&767z(JmuC)ki^vK18<5eIgm-h$Gv+$fCq=3Hz7d+=M6HF_8(zI^9u6F
zmo3i59Z7%a#3_!+-+dVi>X^~;(BoKQya_Dyl@gkjMDd+%-P^THM$Gq=UH|#s7@mB)
z`f}b=7=Q2P?A!H~9xr_D{aLJU4Ca}%v1h6Uaicha<K9C$Tr?_D9?3F-)8Z$HOkx5k
zCHUZq<`gZS6Cxg@oi_yfoVWz@JA4?$I{Pp-gcdJqvTQTlWeE2#eO5Pd;>G%`-hMg@
zS{&2$rXDUcfPu?WR}YF4v9L=)FZd8GGHzZe<6<^|Jck=|XSe>vNn|4KdNnOtN*Hzb
z9My-=%ZGS0dATtq$ysSgn-1%`<=!py>On;EbA~cwF05Ov_;z-N4kHhWd83{loYQgD
zd7n(cTeSJSzEA0~)uh=Yyi6BvHJJ%T4Q|I=-XCTA8W_+-kn4f6pe{&FhMW``;6$P6
znL52*Mszp#)Dg(kf&W$uUhiV$#B}#y|0#NAyq4u^WzV7m^B3DZD+4(2pgx;Ct<yG4
z*jcN$a!wn*-8h@YLBoMpHwxd+KV`vFXUXZ(Y}(M>-CuUJl^xAVHmmjKY?ybG<sQuy
zEpVKPh*_y&$AMOR-7iz@X!+AIu0~u7c$eGGN%pYgOzOG3i#IsY`%p){Z?z`qniGS{
z2^=UyZ*Vltgn+UlqC0G@G(jP-U-#T84(!sZRFE;^!lBn;+2xZOkmmW5jh?`Xu~wW{
zvTeAL!|?;x;}i|xnQi4N>*7R-uSIwM1@hoet*2?DDjLwWJR@#axgDbdOy@5Z6LD|c
zz=wnHC=mRH?sT{-0jXAUOXp^I@$TV^m5=_Tz^$USTSu1&sP#nmo45r(reAE5J8DOP
z6KcBYRz+Mmr&mm$)+m4v|CBIn@=#z$|2J3fL)>Va=vF>yA%q-DG!fz-)#3VQ7Jms1
z9t=&-kC&Pg#!D3v+fo|TK`w1VVo`*M9#L|;=_*8V-TY}H(^Yk_R(p7Jmk2KgI&n&`
zoE1mXhgRo|M0JRp(0o;(&W9o2r3`5vOCSnnT$PPghrl2MA4_+BY_7V0&#7hWp4!M-
z^Jml{WpcaR#bN>MO%1jEJSc@d`i4K`uc(7?AJ@^OH9;KFq4&7ID2-)SnGMqQTYH8h
zGo!yS)+MT?=?KcAWybV7t66ne7<?3c<+}))v!*cmS;^tZ32xhM>J*rKxW;CEUJUOo
zv3G=@l1H1>&oGci0nx0W7YBtUa3Ewe2&)y)?5kNi)A|-4L*o4d|4JZD<Pnas&x&|D
zPx||Zvl_s7hPmPECrKoEH6F0zAY<w7>R}g2O&H-`U8n1lLcj3cY*cwA9JuxSA>p+q
z-1xir#1EyB<_u%~Fj*Pvy#}2{%d|kkD~iFqS_UuLUN;WsQbB4t|J=8W+R%FD^ke;E
zS@a!nuzB69f_b6;MGB<pzyk`&+&@JQ-w-tZBOFpiU@3WKQlJY5#txnf@sh{I*1j;O
zT2<7ghFX7rq6h1l_fDs)C}8oa9D!Tys+gr+WtTdq4~K&$Pd%Gbz`U-v%Hdh6*tf|=
z^%CFmnY{6P=o1xDvS)9;DX%I<=YIM(;9vwfAIA#AXi3;>MC?3ZrGn$OZxhd)Hip#}
zGp*u-B#her>7SD7*1KGKYZ|VZKy`aU!MjT&y!0eQs_YdR?+s9$SL^@?w|cyz^0(%A
zU$7^tlF;7HYvf`pfcl*C?dg*wj2VlXdgi8pVnM-wbYxB8Uvo7J-B#a!`Ip=5z2wl?
zO->t+nZh)4zvJd3MVzr=HGH~P24f%Ao*%3*g>Kr^)IecHJeHA0=dCA&T2BwZW$iJA
z3Oa{=23G}CQoh$bBQJqjo`u>U$4p_T$XmaJ7<m*5@?vgx62W&A+KV{@rl2o7M6o_2
zhxLN*7mwx&VA|)%07pQ$zkG&9Qz(1MdO<N<7L{qsN6i&@u}vnVH7L^**l8+rS@+4H
zt@BU51a5BBT`hQEaljNTxirEm)ud54IrzxFN1P}l5NONEX9_7SE|Os^QrMw0*IB^9
ziiHg0&5B!jD*pQLjLM`0`X)$Ib0wHiE=TCWix>c*lFcTQ3*xBuQTj&ImaYo3_Q-Wh
z1KjTWLz8n@6tBcv?!M|ogK=sk#j0!*s7tQp+-@t3%~|$(Dpl*$U9S(cotZF(j$K`B
zOs;~+CTEy0`|LM$c$hC!l4J}{fx2~tDf~$JNmloIvPw<dkZ9M5FoOM*R)x>Qytr{l
z{bN<aFKSe5g#8B95Y~zpn^&xe7}v*N@4EPt${|9zd4SUpYzBMA6eqZmwyC<IX{%mp
z8h7^lVFPHp$bC&Op9{saM`M!%e^IXt+b1j4>4Vr^a>Jn*0&dsmCy(x0r5>kk0}oDp
z5Kwv2Fu%l!@7GF81kbEd?Zx>P8v^xU*At!zOHB^^!T;<{-=E)9v#P>byB=L|US+=c
zu$B$S+s$qrsQpW2x_(ngS3?*6bm-mK2xdi}!=IA#OE##pXEGO}3w3~HQfu$jVHWhs
za=Fscyh+to`OLu2zLiI2Ud5WFY{Rm#6dEQvT09sl*3ElH8;s+Z+<D(KW59uZhvf9>
zu!yqzQp_(c$UDfWmg}>X-<)@9N2kzZgxSS)t7BS_areq~3w~yN^^r;0afSgmmgsh5
zEN%Hxzv&ON%S`x<Ja(hNoe9f0M5GR!(1bUMJ-wxCOnBE|@=NV3Gn&_CzG|Y;gn+)s
ztna0nQ7}!|)$<Yyj!ziA>&wu9q_QLd?+9kBijyUD*t4Nu(0PMqNe!4ckF>J=%8asK
zN3&d1IMDD|kXczH1>zktq6lZVVM&jUP&auy3YD#Vf8k7l7}}tfAY&FxJ016u@iqbF
z47g4A|5k_Nm)<;z5@SW)bya@RPA-%TF&V#oT^(Yc&rGIEv0;%#_GS+a4|2X^f5~aD
z4*r$=dCoTM*q2u2*I`S<2YEtQelw_p$aDwI(>xB0ZBMLz_K+7}G!KVOq8iAp+4{_K
zZpZTDC-;PF^5Zss%4g3cHQ05fDo(_ifCP0qj#Ir`ceh0EE@H0+NoV~D*Yvm$v`bRM
z&I#d$A)U;a%+?&1dF|&EZZxm#8mn>_!TCc{5KFHHj;-gf#G3KoDVy$kcSkYI3Dm4%
zf1?T$&dE1Qj}lQ`X#BrIO$p>5nZIWCLKO@T?;`Wu;YHQ6N&DOFBr#^+YN%SbDk#*n
z@m!|m#|)PevA-v!Fx0>IXVVW=ARb{iXgV%{(bF^$`E}AL^DDq2RZtDw?utKJ+7v|A
zX6>?se=>MSHT&Jj9yPdamM^mBwlG?X<b57@l*85R!`)&zYH%&u?qJ9fQ8ZV-Hp)>e
zkLlgF26wNhL3YfVL9mH9PTak-Ctg4izi#@c+XtwFyX)@Okz5H(7+VxgK0`un9km_I
zf7D^v=;55(HA!@r9Z^;LM8=xbFh;Rk6u4s7*mmxg6hduupNXC_E`}*B%?4?J%&*(X
z&>)SRdLcH%Qz|&@`R9R=gC>-3zPLTuErUam3|rwy74PgU=Tz9I1-5hY^2QUgxGqVS
z6SY;tNcr2DEfLxv*~jGGKQD)VHqBP<)oM6+GrDE=z79NjUBTq@QyyO?dKXErsNtHo
zO&>pv9<&G4Gb+s~pn#bfOA|pIG4I_X*;^lGy&}ldU5aQITEiqqr;gm?vG>CI4Zx*3
z|2<a*35jGSV#RYcJVf7<S!-ql@|w#%CMsmq-4Hrt;jD&W!Q6NGo-xFW1-uNsMMj^c
z5BkO-s`!9Az2P@Kz{^`nSE7E9QB$CX@5-PuK9Na{9K8Wh{PnS(C!-RozWlW}XPS(K
zjR)?Qs++>Ynf9cv88R~L9E|F$Q^cReUt;X;m;y%v|24jBGUgO!1d|=N@`}dzsS#!~
zaH;I0q;rz7I({JY&43KHhjNbx+L(cm^m$Ip{UlsW*UyW$-qQPpNZ+jEW)RmO^qV0<
z5h;HSqm#46@kF_KD_?>cOn<w|GZdhJUpV(OkM#<n<p)d8o=7vuvUv2P(o7z`c4d6|
z?aqf0mfhK2PG(>#zqgNpUJjpi2JW|W;>H8xrVR8FW?&nA?6r5T40>H9{^mc!fhPHj
zkGaN8LC$hLY@3@jHc-BFUEIZt>)WDNrqfK}W7`Iyh(-!8?>Sg0!Agg-Id*wP6jPu#
zyzq&oLIUGkU0aBLf2q!i<tl3f02-^$p5#3e!>Ae>nwr2BDz7*X?hFNpm|=ggs4as2
zRQlGg`R`PlcdvSaS+?>~IY+?JVL?2yx4Uz=X^I*mAIZ>bVFFp(bSrYN^5gs|fxK;X
zAE*Ks+9}s#jKT7PkbP<*FKSBdYWDpyN@cY_{O9`vBY5w#Gx}F951wvV|4{BXNEP6b
z!v3#@V5Bakb#jCYv&=@LtMmJ*CG0dEj0%RpmewTJX}qOtk`@m|X$Giq9om~~0S4gc
zVCK<L%z?T>g>_e@hp3DFAMz(_^dYZ;V>+F{hEKgN*O1FbsSiEHGRHUdKw~2Myx_}i
zct7pZ@}l85^-W=-!uVc2Q0y}iP<_ROmjd%z3<f8tjP5t1d&_lUj#$2X4>u#WvWUJt
zIrf=4=5&ek8iOwENj81|;R-#PdVG-V5SyVkn{K})?5hJQ3#9^Hwsd&)Y)JM{_AFIK
zeBMl>OB+@nE6ATTqQ$No;ue)!KdACPg9a@c+VG#E-(e1S8cf`o-I=()Ky6Z;@-M%>
z#T}|iWTC?*wOsSVnXw;B)YdPL$6xVi!EVOCikFT4Q4cod6*DcZP;U^%%*8HjaVP$n
z(~F1=s^SM8qdm;4)Y3^$(If^<5D2?t-?g+(oycuEKdknfS}3E|zqsXl-NJ%}mTT6j
z;(oImso{UAMW0T+KFFv6!0!Csv3i}_<^1&E-<KQIZ|{dcJ>Bxv^iy}7p3bgQ^$I%b
zZ%NZ&(BLj!K0XR;<Mn*pd~kzGe3aOgaf}v6XT80BZ>mG&!ZabB@gFr);*@OLFda&*
z%WkXFRtFap=H#3FN1fA=wC1vBKuY73G*6Ej?7v1eoLk+beo8;HJ7|&-nN}JTv;5S+
zCRV(zsDuXjs8nZ`9A-qGq1=5;YG9~mXB+H6i{{oDWA^?mIJB8!wCbP=`<N4Kh=z2?
z^Oz{|=@1(R21p48m8t->VlDiVCOrZ{s_;r22j0Ix35@@%3?~lEU6-?AKnri`vtu3G
z(N1tWt?iI9us%N{<(0sQCeQ1HK1y<-U*Jd4#g|H;`iyIodyEMmZR6zr8^etq-C{>y
z?^FUu=N?I$t-ShoU7=;<2M<Q(+&CZKLx%4^h%)X!Sy0!!CVlWMFD5c_#7cOPfrjG!
zbL1%-Ixus_AJFB;-%qN<NlavjB%jzFSIdE##{O;{Tw8Z`;*FT&V-mcds#xAJvK>{I
z_IwQE62_|hpgTp0BrxCGlP}53g&9BT1tauC(ZG#%!q1Zgd+zC$Ik|A-q_5}ZoiuTD
z+e33cXg>+I-S9VYY~<PEQT*{{21#65OpO`!CxPyGjny4(UbN`aw(WP3LTciF@2&Gl
zP<EB&$MXR`>=zRy(Y=sH9sbd8AHR{n>)%6~i3|bE_8aK9VIhkGYzA6J{$vOW9#s7t
zD1>Zu%?C~2$f4OOxuxR-B{+K8M93^a1h;2&r~AY!pmW`k1(rD_i2l{>+nXwe;UT}a
zIct(Il;`?D--a^K7?U-g`$%B!0ab>v1v1iV+m_ecs)Dguuw~_yt-b#^@J`=XM$$H+
zdr!jEz$22KcCJ?n!;kWQ5As#Tly?aOH$2p#e%M)LgHHxUXtkHGByDl6jXFVyqJYP~
zg~ecBSu7vXQnA{pjtgYNbK<ocu%KhR{HR_IXOd^x=@-;-_0z^kKED=xuO#qmF)E<n
zHSHO(7z(~9p;TpE*9P0D!8yXNt(?V@rk?bgf*mBifrZ_=;4r8C{74)L4QXl$j2SiX
z%k=5Pf;{?Q*Ka}}mP5wFtF20=s}wAePC3{&YXBN?OTOc2N?229)NE5u!TrmD1e*>c
zIC-jle2<edvRn;3JW8bClLg7AHwsO_Iv~z?d0H7SI(wY^Y^aVJ3$k*<_W(>Zg`Q{{
zs-Rg5i%qnQ8vf~!cS?#eg$##17KdzAFzb|mK}eZ0c9hb-eMvHdO3T!LszNHr^5(e9
z%SsYjla3~Tcx(oP4Zc%G#mXpn@l(@6q&)6+qW)@D*a3WYckXgbC}E}2p3^6!WH4p>
zx8>B(9l*9(SNiQE8F|(SWi9;@c!Ak#wcyeYknx-vOx&6)!j&=>1Hu^iXqtX!#t!%&
z00030{}h&YJk|df$FoVswMS%M<Ko_H&(ARuk#-76NLJBOky4asDI^UcN$Hz1ii*!k
ziX=%$_8!@L#;@PMug7`3ALpFM`*mK=#ENAT6FW6LDrTH{ccUoE+#l6&53qvvq{j4!
z5-MgJ8$5F^7eJpoGhUyxtzg+YG;N)t3jTKWQ7W+J#6$b`E)=&|!bdG{_wW-+==5wn
z`GnyTNnu=3zZ_}_iMzViSbtQ&i<eD~n=yvT%aa<b#`r9uC7pw#SwtSkN_mZIXq9A4
z#qbr`BnzM#@P*}d$|C2Zj(39nwS-Wwa&m~A1qj}+PyFy+8dp?vFP!|<N7NczWq+Ch
z@Z+ymvlB|-ou+#y%YTm%1`Q!I_cZ~6o>7>4Cq<Fzmk^M%X^N1&k}>3Yh=BQp{d~vw
z2&3KHjqtRqGX!mwxyr4J=1@1I_h`qIAYN<=vt!oH5?(gpA1l($U`>jAl;dSS?9G}V
zaC4g@<Sr&$i1}&?$|}s<+#5VNx?@}NMyEM~(WLNnWZneg<7!zN7dWtKiNSlRZ<Z)n
z8sMncHi4c!#r=m$S<#K=@AXW3mMFjN`er`B7?#vEuLV}Fkh$OV3)gO(A<ln3HL?8C
z2!gLj8;<2HkcBh6er@*CMCd-CMJyTuYlMY_ht>>vo_lA!`}!%O=gNPxiVlXLW%K%3
zF@1u3d%I<uiPa>L&r($sk!AqjLiGdVcMp?0x`nUxI!+K;bN2{`Wqmkf{!Q-@wU4AF
z%b9Hs94AWHKi$*brw?mREG}i{caWb3-wC)q9V4zUGCccB^`KiL)8JhFZ!+m_vaj!|
zF=B7vz&aysJ=iGC^XBk@AEd>0zXkQ-5kfhgHE!^ME+nwp%b#ukNS?TAUur8gLae#L
z`Rlu&F6jQ`a_5MDMpm((@Cb??Ca$}$jd&NO1NB<lGTfh}6G4rf3?Y+YLiK83+htZA
zh`Jm2cU>$=^t*2lR?r?MZboYBh@EG`v)TPp9sXa4x*gZ~-46^C2UT3O*RwGpJId#S
zyy6ey1yg3_YRfPY;qMo`aG3#lmu|Yhv#2BD8|vfkC5{kxXY~mgAqJQ}&oM1i{!J+H
z*Kezd8zpXj_$-*1Oo#Vej-zKgnu)`mHT#eIju9?b&%|%nqQh_Zu#qy$cA}@E%1uCH
zoLI-%Hy3_E8@?72o-YJDiSyyVemxPGAX0s=%-wyV1+8%l=E)sh#1W(KSI<jK5=yT$
zGaA}8VanV0tMmIF;wC<MV76h3@G1LNDKDuBk2(CVx;*J4#Q1xCIvz|DECrvNJe+8-
z{E?f{mpMRuERe8kk)0)^KWz25c25H$C(H@WvO!{xQ{zeDZ*zp1_x7ASJ?aov$DQHE
zJwp8TRom2-wLmcELbEUEse@UtO0I{|7}0%_pG}5bB5JA8Kek*^gHOX-OAcKcCtd{q
z5o7YM5DHKIJt%#uKsVj-_T|U~VQZqRcBNt!d>XT5Yq3=Y&KN$?w<o3uHwmw|S`1e3
z+*^CG;UyIg^lb{+x^9N3<KFr*<vknx%6C>bSVslR*JTecjLs4*?T!w+f;eDbp29A(
zcoo2j)pD7C<_VL=EzSyCxWK0H%x^0}6`1g>v<wzqA~^jPRE*tuV5Nkm<6WFGoWH#@
zjpM{J!Q|wrHG0eo-cDROI_s2SM$hHr;iy$mJrr@7s>BZ`IQX1gbCtm2`_IO+Q!KEf
zz{AV<h#;`3-98|=RS77qEYBt**`T?hIedA70{2e+UF|xr2m{XEO5031;AoHj%DKD3
z5RrL4_R@cf5cy`WhPNyi+#b=j<MkJXwWS{}$pk6_=K)JUD{UT-S_;1};3E!6S(2qJ
zpa@ad50_dU;{|=M^{oO4l91Q&ZAY+zB3v2^*v&f12ilRVgsx6YL-<E8Pllu-TxY8E
zW^NaRrNHwd9am+6h53EzFjWx>|K>>DuBJd%^GY3Gwj2bdm+*6JRfOECNYigY!Z3x0
zb6WHi;JiiOu~T;yA+RpOyj))t)|iaOzHCwi&96}rf;>tvWRn!!q9hL7t9XNQQk3B~
z^Y}ntniAOg&m533lZ2ELm7>&0DlENgzddtU8RTb~cFO0a;oO91v1p_klu~>D2%J!X
ztM46%?r|B&goIsP_ccJWt(mo|hzdsqDVH)g$U&NLzH@WACUC!0TXx^32Ch0AZgV}C
zhq2)7lAIN7klt~pSKm|v6hn(&omWx>M&rn@B`F4&c+Fl6jMN0Zf}1*rUMPXze|7y%
zT1;5m8`T{pNrzs-K)iIl3WRuuIG?8LKo<vNema8zcHZk7d%CH>YkBY1il{Cq>@aaj
z_t$}BmBebVe|?XN*ay`8&;^-Ks`uo*^&qo2B6(0s132P1GD>#p!Mos$XK^<TVCrq!
z=8X?%Aacy;`2ILOcpa!4xzue0k9*h4zFXD=jor@`&xGlL>c#cX%eR@rp?7>A{2AI{
zz}WZrJ&zuo%xem5D>nz*$Pb^N2-6|y<tF=+OkF5?w9PU14gm9tgXbMzIw-w*Ty8wa
z{C5}fpHkmiK%<8An#p)NxZOLFPI@q4OOjG%#d}Mr+<7JmZ_?qre$eJ3mVbNO6Ga_O
zu!0b-lpuLGI$SQ#|L<#+I`H0kEO*w-8ZiCNl+v^|_^g;JHSAS^aed?bt{2v@C2nAS
z^G_`(m^5k^>y!t(LIKBP1J<zfE4SAc4^6mpd`HAKF=?naQ2b0Evxd&~{{3nHX+W}S
z<QD}NVd#CjG%E7N8l1hp6i$_@fv%V8a&9OW+^>4D!g9tM*wXd3%N9`KEKSngrf{0L
zQIz~SgJKPz3bG=iZz}^ls);lxO(u>E>@vG_%L)c`!ynooR)lVfw0Bp-7`b!czNZzZ
z6;uoD7rkaL4+9Lrx3X83$xJqXBjaP1aAr&3#K|C8_${IRw(>kX%Iym1bZxbO6C+O4
zg_BaSm(M>u$(0*#z_qWI_7>n%ZU+ekVj#}tt&=Fki~1~0eLLR+jGca!yU$1%l0u{Q
z>}y$rBBG~+_;dgqeoe1)SQ7Z>GlMG5aXu_?y(hZaoq!kr<=FBGt_J!}XSb;ke*7Bq
zqNMboIZ$Ueb**{M4ylV4g{i6hXf{(NYInvA0s;e^U2m@t#*L3&jzsdK<g-JK77t88
zq2$kLYUK>EX5dtIsX0GNMMwp;elY=7x!8(R--n49Ptob-E<Vh?7QWV)#RT?W5InB2
ztBtVNe^Yfek`G_u^*u)|jlnQ~x`sojfLL!MV-%&yhllxVh`g&tu<c-zWK3o?Ie+``
zjVt|Ya2+Y0ZPjK7tL2@yuRh;NHYT}CFTY=d*)Lh_&KeoQ*~|}Lm|25l?#6m|zn5!J
zypvhkbk_j-PfOt6#c|TQvHQ;0=QU^>?J_dNY5*pj!Ium_O_K#SDN!kGe8|&qGGxyY
zeP~{BU!7qwPj+p1$y@5fhi6$X=(YCf!Iu4d51t5LBI}cfbEN0^up`BxX`{OyjK3Th
z%)YTg(%iFs1akS25f|VY-mVKzwz2RinX}*y`+UB-y8_4=e)dVAw=M+owwH=MWyKi3
zO4zVl5T`FaJs~ln1Dy%|G$ubgwr1sOzg!T+5x*o#bc7BtZ|}nEM>$acft<cYJ_XYi
zz2#e_bl~r(<Un5|C!SLLY4Z585K@X_S*!|}AU7S%k!k<$-{iPSB%Kh(?EW1g6D~}M
zyKL}qvYZEl;N{w(Ga^`c%B<RelL=={@{i>1;zco!Wy`Y<MR8@_4Yi;*44~1U_uZdc
zgIOcxqb99lD4xZzSQEs60jAbF!yJBG>v4c0ZY+V6FXel0(f|4TciW3&R)W}PqvQBD
zR}$k!Y2hjJbeKp?^cXj#pgZkkZH0q04ybg#9{Ea#I<e*i*$qP2cShUFh(iXy-yaO!
znn?!%c81(xPhm{EqrzL!B8#P5r8Dnt(4pkwRtdv65&RLh<?Bv=IgFtu4_QRe0Vz^r
zIln{^vpS*jq&$w_e<dOrNe5nzfG-0Kact<7T-Ok%fXlZ^0+QnBu;`_fnw=(r><tpT
z(u)=Gw1)|=X)Yb=-^Gt!SC_(psxI5+86{l%zOy{Bn+_f_fBf^mNaM8l!rN=cD#$7D
z-;A>w1AMB_l1=Aikj1f1gFA|fTY^ZsMFaz6t3$Qa9M<8(FAurjHK=03?V<JTQw+FK
zzO5qqwj73-__K*>sG~ukp2~(WCMZkw*~`YtBd@yVDxXstsGX%Tcv?;eh{tz-sN7V*
zvA9b+>I-RTl=;#7b*s)lE<GIUm#Bz|4X^z-_h}+uK)Pc>fiCdGSQ?0=DB*3ltogKA
zEew-WqyGI*4<cXU%_mQkv9N`Ee@?qL(y6avhKuw;tb+gE@>3PO_R27|%bt$QlX+m@
zYXBnAqrzL$s2Favy^|-Jj+IuuiMfhKFx<cR(C&&VZm9jc;YAu9kL{)!?>k})u{L}^
z)%U64CfkW`9`SS(I}@2E^Y0Gy_k7;OA)$`s>N(Bd&UExWT>ABhq8S|97sIift&U?^
zK5VJ|+Gxs>zfyP795N%O%~RzyaIed^PaPk$@CTDKi&{j0{dC!aiH`=}ajS0Qw$a2%
zw_Qn6CjcCEI_Ns#8h9^KmuDqR0~7R{<mrn5Q@XWnjt4bx`RP`-lwdX7-z{}S?vMpY
zjD3dDwHo-P^}X^CK}8WGwyl!o79ey@^QKaoI&L~P$k{xogmy={vRqbM!kdQ=9z32`
z!*k~<SXN(Cz{;Qv30rh5!Qy=FkH=Is<PUA)+^HvrQnJ|`;Z~Ng>xe0DEJGEKK3#G2
z8jwb5>rdVRrk23^`e@Y)87i(<S?o!ADUR=sctktPS;Ak5%^H;x%Gl97Jt9~ujG8GL
z&jltdAZLv9`T0f(9WLx0L3crn{+MWgBhLcDR*GxS98*N83i?9e+trxua`Z;Kp9SpP
zYU{^CQ^2d=;&%4ObKs!|6uWkD3ovxuC`Rd%!|W<G>XID`=H)9NkuL_&Auio1+qMoT
zUkQJAxwA-$T&LY`+6Tbmxx9ULcr7+3IsD!$JVR#OI8CYeOMo8x+u()AQkefNJ0!h%
zoZS6w(*u7a0)89WbVr_(Kw8ZPA}oHGyfgawY5Q?=D5>`C{2eBSZdIj{?A`-p{N%*(
z##d%=M^MFiK1~D_P><@_-b->FE^>?=H-+n~zjsxS3Sq}$#5#eZ9`deP`sD^)Q}`-W
zH5TAS!94F>lhOb5)a{;Q=4VWxGwH<z>MB8GiTrh^Jgb*Hu9>wWUTzG=${DGTBlvJs
z<BN&7b3bXX$Q=_aVGKETbMr-;d9lLlUT9|8A5wC7R_yH|Blx!I9QU+4587TFF`n=q
zCg*<yY>F>4gjQGDymKxWmWc`#oZ2u(Hr=Qn5?1-AvvIYyS#sj%-s?d+>=R_8Q^pT!
zv;l+=F;ORZIWSXP&wEYRB<V?GJ^g-6A86yov3fl0NCxCb#kNh8-7&TYi(U1>+-7T@
zhanq2mpA2CnVls;i1;Y|O%E>KJ#^`60xP;g+ksE23#4w!NAFJ-dZ6f&dM;Lm6)E;C
zAKo2bBEK!Q-Ohfi3+WMFTONI5!68RO!IRC)<kt0XF4q|70>kpT>CQ(iXe+SML-W-t
zywfvTrCz85KVpwD;_tIyNB{JODt6X?ejoZ+Xs!e8+S4k}->_iB=w%rZe>S|;y?y0k
zITN-``Ptb_vf$ow(JJd+cGPh@-+6D>zr6UKv+<xKEB-ZTX&64miJ49U*8BqusPw5<
zJ5<h!TrCC@Ey~=eYt3ajdyWBIZu3vq>}Nw8qay}#V>~#o0T!pF8BqAbCB;#K9jiPl
zkIXglV&1uZa`=u8g=7T%+6X(^wC-<h8{k8JS<%O=`{|$-{N-;@HwQjZBPT#m5V^7g
z)gyW7urI5|Ze)QIO)IkbTrDVgFFHp{^Q1O>=R4JBp~H>Irdr;XF+!+M`q>(FX+ePD
zmWJW$Jou1P?;gjnFv_j&ACz#_0ylo{-T4B%xb#X}x5Qr*Kc6I3dO9`XR?0N%oi}Tc
zVv+qRky{))dzS+KoYI7kKN-)zUgpPF6AOIFpCr&}W5;mzI!$=~RavvqQV`EN7f|cd
zrLe|jA#$aG2HW%p+X8k|uta%Bxme~}{4eXh)JO&mRu$T22V4?Di%k_fC#q%9G2BF@
z`w9)#T~DE@R|(@p@YeSmW93jLF|Ouu3=QPYXY>rxMe!+_zo+V}JjM>EuXg_TPM}?y
zYFoA#Mmr>zj7lluWUR}c8=W)=&UH&?caXrC(|sM{VM^GScu?NV>fc=2`Z5xnQaBYq
zt-v|1j2r8NXk?`(wD0c<KH4gc<#BS}kB(E3nH#ZK9-#%7HNuYd)XJbwK^%N%SHrv4
zwxw@6qz${LTz|y&ufqm8HwU!`>Nw)<VoKXU2Puo-kOp3Pl(g<^`)xqOJ|$=Rz%(8H
zxK{J!X)9n_=7IbBzG-5ihxWYqCk9+)6HzGHtBB*~%C){bw2_miDeb~*CKPxmlqtk1
z;d7d`LytQhwU~#Uh_5<e;MnLTTB(e3y7Ij?><si#bb0R1rU%LRb9FBp6?<ll*%YoZ
z@UZSngXF#Xu#i0YzE@Wje<>Fwl}$3Ra`}Gv-+BY+(-CzI*{z0U7nYR6=uDiepT8dE
zX9SzM*T2<2sE!*GE7<r=nW%d|LsFVz0%y+6>MHEfK%HA#hC>9IxR7hkJoLd7dfWIf
z@T<_!TxK`*%~J+m8Myz@Hpm=YLOC?}Khx0ovqQ}uP6p<mODvAz1}LPZ4lFS=ajTQz
zXGK*y4vtWcZ~qEVfjWhJUYfZ2`d^U~s#=)epA;_}VgbiDwI0~CTN7(G#7eMbXyCQM
zYt@?sEJ3qUT$77W6AR{Zo{6=o;<uy6yCW`HLTP*M?Zpc;97#Pz_Z(KnA@|X>Y%P|c
z9P)T>Uy%l;E>7dnpaSYpKb166tl)9ptsjp+sH5`IyIn^H)}j5g1-TYwE7<>jN=+zH
z4MRQJ<YUdG(B)ytI!|dUU|9*)*R@f_HizO!>v<8JV~zeiIBf~1JjZ4>HK?Gg`JT1%
z27<WR&86{Kp(V`y9+Ua7OBn;SrAuV^xv@*(+hs|AOW?{nIe5K75wim|*n(PD;hUM+
z*NOa=;5oGcrc4wtQsFpD*6V5VTh}i=l}rn$%%@*d&XL1alNRpLHGSmgIIT_-6ALgA
zWf$A-EsGni1NXeXUQJf@yjqo80YJ@R^xuz?#vOLm;<Fozhytf?VPAFwge)4qI`~}z
zKd)~N>z`{N#PzD`T&f7@;c|WQ$x;kOv>Z>q{;!kJ|MOmjI${p@es>MFbPMC}`EA|2
zIlaWbvX}$6gv=quHteka8wv&&9|*0S>?cHBzWOGcnn6uO-t*;S0(hZlDZa0IfJo}<
z+4L*G6y7&Z<>fZ;V#fWS;XCgR5K2KOr%yaGfsoqt1f3*q^xe4N<s08maK!Te3~4up
zo#R@JrI#G|ePxHki`ib{dvw1`iJ~z$?Je{ukz&L6gBuJ4C%OrR(jj({f4OEIeZA#F
z^(x%Gc)D3Bvy)iow6}ux-VkJ&lTwRGe@V98CHcYn?L_KAp801%LnwXPWYI0OKw?0x
zX83_7V$A^&mV15%P~^K&`Shw;vibu1fVgu#Azi?}%lC^uIE?gB4mnMcCBIcaAKw3i
zu;Psjo}%f)sQAZgB775Mm_WXto#+?BI`|g{M}i)BTjxfe6CWeji)hxfg_49yUF0fX
z7CjI<=EhHH8X`klYo&_>vIwuu58Wn@=t3x0Eyo+aKjfX^XJ&tVu8}*hbjODF>cH5>
zQ_F*I`pDW7;#bQw^GLoUHWSTmI*|DBsKWZn9&%ylwLEvu67s42C9|1ECOm25Y3?xZ
zCav|0JRiLJLY6f=6nN^)1Zi2tGfo^`WO~-c8{gupNopl6^mhvbGPuf^cf~qM1^Q;*
z>!!8j@)NcfhrAe|S#0>Z+pmMn*xx!Q-298Q9ZJdEG(v~)tXJ|Wi|r&+<j8bmXcK8T
z&B^H*N{2%i%Wl|zY$w<1s<XXQZX@@a_|)9_ms3k-hNj*{|F17z96HiL>cls<yf)K@
z(p{<k&b{sA`Ka%2x4U<dClc1PGW@ilPIxlc&!mHtRcNdT^6VjPSW|z8-PeQ%VdY+_
zZ#ziy_~*{m;eBLanqqcXEe#YOcN&#=bdsWa2@iFP2gupi+x&%vXz-l&+{0X_iwyf}
z`;V`ONTU=dRNAQl!1KFRoz_hjhkLgByc!{gP1}6$K2Qg`DyN!}V-FcbKjk9(c8m;P
zx9x)apc>eycPZxF?Il0G_iIZwoFLD#D35uYtHD7#Gt*<j{bZN8a6MPUB$<DhXEgP;
zDlE(<y&8TyK(ZD;ejR*&n!GqMQn-4G3O8&I%u?eANe@1Uhx=k?$xD0^t|_~y;3;!i
z{zKX@i9GX4Ng4BGua@8|pJEkA{mr^%=FceER3p^uGqXsJT$FuqL_-BC4!+{7GaM%?
zI8z&9&n=S?FDIjG9w<YQTi6%<<OwoQ=U|#v`YLn~sn>fUsthurXU9LOPLUBoLr;Ed
zu;TSwF}=ERO0eO^<*mHU)1=|UjZ-%o*|1PMU*w6H68LW3>ag%`mW&!II&dtH16L=X
z$=scy2-0WC%DKvU(jiGGk-L}+pDlEC=g}1bc}na1gqO$<nhmebmU!^P(iJ7Eas`Ny
z@i<4jy-d0&iunZ{UxT5?>|&oERDcpWtqaZ1SD}G;pvY0009vcDEtd!=z?b5bsu(6K
z3dBD7ZY@f|nLFyV=nwKh{a9(7*T#mMIX0FQycI&t6_q&Cv+^J`n962ez=3T?UmL2%
zh#*hvU+(=I<RO%waNmzyC>Q%$VP}*WCOL*5t&)|88oNj4S^xSoCytsbzLvn7jc)nK
zDGwVqPYul-S%aAUlQU9E8o89bc>l1-gBR<lTadB<Mx-@!?<tT$t)~ZbqJ-t4EJ9Sn
zh@XN&t&4Zl?c~tY!!!RBArD904oh0T5W+>;rAo_R@|YR9Re4v8JV;EWJ0zYE!O8J~
zEvA<g@i1v{=E}T0{19Nt@AVeLV#>0orjs(VKfJRX5T^jm_rLgNL`vY-$LWWE+EH<6
zZ_QKNeTuNQk>c1_Erns8xvqJxYG|9xb}`_95_IdSs7r2=!J_?&Ca<n)prO;1DXDB_
z7%%R4P&B^|!)<!lB5O7A!uz-Uo;FmVlzsoh<}Z&IpYr#MiqWygJ42;fPYq;V*sjeR
zRlvE~EPhpM2AXg7_3wz%fTx#-TQ6KzLJtpeqAq}mA#bAcjBK=E@9RH~2@Dk^?OQk<
zFX<rnpLB}ZdpbnhasGAcq2m2{?&LF(x>)l0z19Ak|G4_pi*B>~YS`dq>ub124`1?Z
zh#XJVg{H@EFWq*~z~k9$8^2EJVFFw1^_&5HkpA>W<k}w^#!H{{9kbELt0zQa8}}Ij
z!)4aj%SQ`^y|TY;1$`v=*WNueV*)oT{*z{Tqm4;k6$g&h>R|-?x<2K*<`DA4UEqKx
z9banD>VGWiqRfSmNAXDjWmokb14`*Q>+0Y0BVPwaUMHmP{%HXeqxXd7936R89JAS0
zGx72MicJ+mmhj?7mBHdX9nXFE#ACxv$5r*V)z5!h!TnS2cTbnm(aop4PV$BZ4kf-j
z{vg&GT&^`<n*7IYXIAR$sy?eAwdp{n;hObu=f|&>vRm3%Z4~bkGA@r-P7jpaw_gvA
z0_eSKjTWBj^Xi(2mckpe%W3p&>%qeW?O4rdNZ0)IAi9Zyf?U-JWh(!4fh6Cvdg@qu
zv*hwyEq0Xj=Qi`Ku?F_rm7+FWs+e;AWvsN|AX&a7QrzKY4OI4I8T*gQsG7fvJM~is
z5!1wO)mUc*hYGHSjh|A)p3S`87uXgFX|m9$im-y!Y$ukz_2kh&lP{H-#17Y(tkwmO
zEP<_&IgrjNi>(D5o1>?AAmKD2KE!DWvCXaYggQwyic~i%_{9gWoO1@W4_N@x&fi?=
z6vY|uGSwg}L70x&Q#;cD@aUX@0gt{A+Njo<bjeYmtHo^Yi9G<jl4RbkbUqyUL7mG;
zp}-oAQsT=M0#3y3dN>org%;oQiwv45z<Dr`xN^fB$bfsU_Ejt>9sR3MtcL=fMe_F~
z)68H<^@mGAz&!cHk7+6RodN;+N;&Z*rqJ47HNV?pjC`8EFYIv!1<aRMSB#9BfC_QW
zL6EPV?CdJziVCKHPB`<6fSL)6_0(L^uT3WvM_G^XZlJ(x*PN8W0Ar|#nhofw`9)k%
zyt4a&ECv4CBPn^~tr1)>c*<V$v5#2of53SyD+NkyZMak@MnHWiYEiB~PShtfiP5J8
zK|#pL<ZqxM2yjI7Z{eOHzLMAbt}O_H2)}pp`G0(Vwq#+OyWavaax?HEQ-lHwhW+~q
zYXg80+j|Lt%LHfpHMyHs6gc)Nbhf!bAKo}UPe>JEf&T#j0RR6Cmv=nXUl_;jz4zYp
zUgO#`-w#SELbMkRlJYBBMyN<cNJdLhN=DgQ+$*!Jj3{Jg6QVNn^Y8iNob!6ld7k(C
zvu)GE6K^8;5zgb(D4}l%qPuW=Nh<?7*a`>FkMQI4oLW{>kpWW2UYt1{$b`y}S09cZ
z6oAnjx`#IyKz>>>KT4Pd-ae^1%##9e^OVXuRIiW5ZSzeI>8yws+c(!3F9?qoSBK4R
z`sm*g67-)AI~*0aP3Y_t0#Qgh{9#28-AeU2T2u~b#0~SMQiP$n-Mo<DkseAL{CwS=
zxxjU_SK*F|2yPoDzqPZ~gZrIv_PAf%u($iLJ={nXL+p-{e;0I-+M?mv`j{7IvZ(!k
zkBY&^Ev?WiPZwLx281!>@j=XKW$|FPIPx}`H>&yQA}k~Eb>{<q5NQEIiu{sbky<$S
z!AuuU@wcxfB?#aUx0_kQZ7FOVxA-y0ql*9+Nxydw1aWQ>q3skIu=`eYIZo;z_+0m^
zrv*ajc+e11J0XkeMZ@CZHXS4vT%NemC5%AjQ;+@n<-oCYk?r9}9WZtEh5sikijRBM
zYYRH%(cA1A5>}^!yLlGFYDdISaQ3xKW1j-Toqjy~)TM)!463a42XW*`95s3JOA$VG
zhJrcEIyjc|wtm?_61vs2`a~XO_{esL1!?FadL^b>t5gblYjoq6bye`+vpx3r{?kQn
z<kcC=-7;`Yp<TYdUlnr2|83q^t&6M8UaH~ra(H#AAwl-K8j1}5HnHmJ;nBZO*N*ne
zVUzs1^dC9u;JxL|P+Opfn)89#(-rcF&pJ|ntAPZ8qe5d>?et-6-4=5xM*-8)wtuI4
z$hiBgEU9WmAHvZuMOyDFVmI}J$4aLLrbAvdJgPLn@aL;}&exStahP^z<c%iaIGqsm
z#1J?CO5FMMpE4q}MWy%pYT;9w)p?d=Blta5$hf{k1&ziPZl(XU@GRVPYUYtKbkFi^
zbt9=l;5Iu$fwMLm>5{hmDlvgA`^=NJU#i%bI9q!Aq&Bp&hJtdsOyPQzp<Vj98cq-V
z+{dv&8)wT&EAN=iAv2lB>Sd*leSC?jrPW#x?mx1lQF{X_OWIZiY3fidY6$3J*24Gy
zG&YRxuz(2+1Ue;2Xc}YWzrC!1M=jrHiaiLtrccWz?I7XPzL;6NY%;n61XzRgfU%K$
z=0mO|IMThJ&Xy%1TckINJ{{Q8IpsOAk%T3gD~h_VYFOpA`xn7%iRNaZyr?yGFsXbx
z`M_TVcSSN5$97oa*Q1T5c5&+1CG=rU;Ia~SFOk?QZ(8ENqfr|JR@6|yEAOXyK>^<7
zI|7qmS;92+?8Uf^YPk1)#c<VE4%YR)w6Zcw#Gcc&T|BLd7e#?LJXxgCT}3`<_tp}9
z9NYMtE~{W5PSl(Apg3$;_qzOiVu}53a`kupl(8Y;y@&gXFbr5P3BS8+39bwBPD~z3
z5V>yP$TlMYug6`Ej9V?i>BhVIV4EV!Y&Iy|vfx8jvG{KlPD?DYJIy`PP{2Ok#h$=6
zPDK3hpFLXvwB=d3H1f!!Ku(SvI>?HU+)96j^FX=-{Zjg*ER?*QuFs@0A#Gp9#A|tA
zYSDr2M1wSHtGRc^F)~0=xOk6iA_1>~gPJK-k_fF6)QFf{Be+c7)BJ`kFz4_&vGkib
z!j$Vj_>8R(8+)0)4Cq=Qlq}1`#VrQ2ed(;dwM)dG$>i@_LN?&ig3BGMn+Rk|JzB?o
z7711rsg%Es=ExGD9#!}zgq97|o$a3%i2g#q<vv++qy=4ydhII+y{LDOGKv=nNqN(%
z5??dCp*I;irXzsq!tgC&vWrAS<%4&NpG-mgtgN`n&yRU?zml5SMIwP;=ESP9DcVyL
z!gK}s;Bq`@X<llX82w^iv=VB9Ci<ZU!;?Hndi%imcKiyFDeK}XJ!*`j<ryn)C%7>2
zH7{s<>p$YB$C>Jj4#qfUBG5bgoD<~Nj(qOYbWjf6`B3tm5lr5WDK*{a!0|+VTB;U3
z9@IWn5F#5v{8ZEjmr8bAk7h|B?`D8!2XoWOM~0|T_LR(!VaM;oqNE=QjCg;xEka$)
z5DBc`355(c_zgY$;Wf^Lg1z3(2NDbr-95j${}3A_MaL=ZJ6SMtRR5lUr~x>3NnbQ1
z*f1$Eav-jK{e5Yk2V5WOWA~wq&OTc<IHiv~cR9lj6O*Spht>4q-gESGmmeEMelD+a
zDRJVaT!^FgYdzF|c*nN<nGJVNM$tFTabb%?>f;4FJ=}US>U7+m9XDdTMppWHupAyd
zG%>6T+nR-d_@C?;t;n%|c!>|+Ki6|^ysnEb5`pc79GJb&V6AhTA8l)@shi2Vu-eqI
zEh~i+6RW(W4O9WR+b#ucZP!6gpv5Kjms~iM-+11cUI<xpVM(vTbr2h)r^YqNjoys{
zhj{l1!>fH!d4kY^T59o&1PflI@aLCs)rsJc*4d8GH42=j2K4$|`Osp|KJ$I27^bZX
z93^TfAUymXCJgzJS$Z^TZCM=sYgN^5NfaC|3KvyU5I`EEu77QrBwlD9&ek|fLC}@2
zOb&{Iuw-lT-1SHrWnSjaCwEd{&amCdz)T1~j=LQ?pCXH@sZ<xzCJLfs=XTydDGbA5
znL6~W&-?rzAt{y=><j$&Tt8m~Pc!!frmo0idMj2X?I^HHYYa^g5QA^#a#o+ZA{@^R
zh)KFrP`QOqLOx0y*6!D0*^VoLC49SuK^z4Xdl`#)8A-HgEN_j<Rz}(8lNNGK6r}a(
zTGxM)LeK7}Q2n<)S8lJeKa<x%pk@F2v0F08VAHdHyGsp>zjxFnMd~2RBR=P^z8wDK
zH=j|<R|n6^@`iVux==S2d()#KkAKrY>kT={$UI@EnfFW=E)3I!>6!{?tK%K=*{=Z}
zTAfAPfpvbhSl@wxB68GwHmls%#NgH7LSAis$Whtr*e#WyP$Tr~V7V5&M=IaFls15&
z1|v~uzs^y~!{ywS+SsenWTK*Gh*ya!Db~AH@Jd#8nY><?KQ?#2blVx>HXExI&t6qL
z^U1jve3ydmn_Hy+-Y~{bn(og!do@Hc&v#y}q#$eOLYekg6ZA@y94^#WN4jGSqggEl
z62Z52Rq307FDo|X)q?tZf9pMe`j~>u#J{)0lg!cH_en1~jf7af^d!=@^?hzrUUDvM
zK&jW$-Y8Wvwu`Z}D%{dWnD4c5PJ03^wkhZBu9Cqjy_$TJtc9XV|LBW0KvF)D9siPy
zna0eV#q$~v`jwtw*a48}c{6=pkP+o|?47<J2@c|0)>2$7@w4#Ly_mCP=uMgX6s~jQ
zK}b;a!FQIp#*@fx&q~JdbrqKz<I3Pp+pDL=ZUru@Qq#s$B>3J8ie9*^h>J4(#sAE$
zpuETPUq`w+BKymx`2^%~q^D4Nc9#_r8Y5h8m#E=jhOA-y8EI77(rqU8SmBAux1G8f
zs&K7;?=<sI3{5SkBw4JjkS>1SGAT#}l}<kjZH9&LJMH&o1_>*OJ$~?H$Wj@0wJZ9;
z>wV)LdP8+fpC#1Kt?eW&D&p?8h@VQcoERsVbXo6OB9E^AGFO%Y-tM}no^*%><Z1zr
zt((`mX%}(p_Ca}gF};qd%%#Wu8yTHlQ$XHi!O>-5Ig|-LeKSzJOi=9Q6VzgWW5*kJ
zy5vbixur<m?%r=AQZK02XkA}!7q6vk+#w0-!^$s312e=Ef3ES}@dQ?k?F(gv#Bue3
z`30tr<AjV&dt!W@1vqy^8s;sDz@K9<Eo^j%sCjAqot@bN(<G6E<7~pP3Fq{3X&xY6
zKBwoCu-pKJ3*wo97J^7g=5|Oi>L*GW?edF5%#rTZ>%HM2KgP~XX;*dhtv|M=W>BRW
z!Z;q4sVeco*ks(`&xL;C-~gl2XD%~nJ-&2k<5O-tR$d-a8yp~vukB>*-D`^Mr#w}g
zwsGPj{VR(%zkU#XC3on{vP{6|H=dJj!j1=J=}wi`Mu@rJ2OoPem>^s*^Z0HrRz%&q
z$Z<SioKP2TdH?O8G1OOHr^$6QLpSbk$x!7Kv7pJOF;{8?nX4zb%fp#q?%==8KVybS
zZFyDlNWlmJ)+7i1lZ<$nFQ@1e`HT23$Gx%orXg%na+@WB8Q|gA^XgydJVCm|VC%GK
zfb_ZyC-n+?{PeFFKAZT55Dm}{CwUnlYodKuhb}!jMZ0#~C|e*bS;i=q{rdQ`Nh?yM
zjt-ej0fLl&OGI)n<!ShSeQ425R_RC3f%k&<p1r$Q31Mp`r}=Msh_H7|={ZS<(O36k
zo9fqyyuvBwtLyW`F?O0s&YKR^gSixL9eRlI(JU#0x~N>piar`g2YvqDlKf}}T;G20
zE~B?D4p`(@oN1*)a(*yf$v;Mfa=kEOS=B*U^MzqgJ$js_M3uh1&J2a<eSx;II{5K7
zX~)O)|F>fOdE~wtD@<AT*7U3DAms7I+C$qIaH-&zx6cS0v?~vL&sI=C&$OIp$H<7t
zLqX%w)g1VIfOquKF$yeS7WpxMV?^Cv#ZSH;xp3#u9vwLj3d)>z{k3gi0)6Uf|L=1=
zc)Neo*bz@{_{j|n%l9+GJ27px^C=%>L-OV=KWZT%=9<%>Fe`Yi4QnFT^WbyAt6!4!
zwQ$_Cq)hoV8_uw8+99)15ZIdAY@4kK7Zm)e7-dI}ThBn{dm*^S7Kk6#(S-km`gnUJ
zC%oO*Hy1mLK!~>?OtMM?yG~eS<?iIh`G{(gI;R*o*{r1&PH2GDxxoF)HeLk&-CVM1
zNF37X{mywZ8faOyl3y(0!x?6J55XUjIREGP?DkPID&q%&PYm#*Qv7S1E4vK7Gd2*K
zwPft09HBi?5d`DMex4m<IjHy~7_pR-apL4EJ^ytfwC*4&c)H8u5jV@^;ukV3GQaL)
zWDr5*oYjJGu>uS-Pgy5$XrLrh`+CNGQGAuXz4T9933p9)-}!Px14*AbQ)ivUF;N(;
zMv7BLY{{gV>YxTT7+6bQAWI^Br0hnMxGE-Uozo7)YC<73M#ND;8dtb0yOi?Ou;@H_
z_TGP5u&q*kK5HZkUhcplMQ0Lr%yf$xT-OE<qxEUOA~}5MexR^@iHrxoV&Y3rQQ*3g
z5Pzy$9&x)nI(!~!Vr#d;s-BS!4%oOdP4OtAAgM<%*hCvkQT=WYm2~ks%Y%3OR;6`6
zSs>*dqJYafq3@!h9`enYh5tn=qvV*=XAWK+y!UwSzx}j6jGpdj@~&6GrdY#kC!gtn
z?ac9%1GVdYr(f&C#;%6vZdJ<-Qo7(ObXC&YWQ1w<(I=Xw>s;&H^I*YK7lms%shfL^
zG5>XI<gPs==<Jv|$GGlW?_M<rjl`IOiNETc?S3-)0tD;?PU_<Nv67v0_U2d;o|Qdq
zssZlLAwOmKb<y9N)u_Z{flEw<F}710Sas&{E5D=zPk!qAYZU~hLPFYEPHDp8Nbyo@
zDg~PTi{C|a0UPaX7U5h?_#IvtxhJo^9@Z@q4ZJMzao-X5f<jG<3^(+gzOR8f-ioh-
zTvpf`<sX0Qq9)uD9;fcFQOBmyIB&&RD==S+89TI~0e|hZfhDR6?6WT~r_5TRoqQl*
z+xk5X-=swjq$)zOc-eJa+Zs{id<_pP@_H`Yyh}bp4$ciBX<^%}anG+ccV3i)`8F$~
zL1{^Z%nGce+gPJ3Xu7PpLJg&h4%#a*!bnr!r`M`vjSQ247uy|F@p`27O8s>{ysZ=;
zJw0v(_2kP__bZiA_3opGFo_KiyAY)RzzUPAD-D{OO5l5|aPLeQ9aNgXa(%V1g17I-
zgDr6i*t%n@)fTgP;$cx)bymA2Dvz>`Y+jPX?1%Ek3pWP|-h-SPJ|31>v32p2>y&}m
zbjnK+{}Mv}F*Rk=JYeA&W?j)E39(Jve^%$WQd9UHG82P=z?Y-n4swXY$2u=u$$5~v
zGq_0JgcH!$|0)!6L<Bjfj?LLHj8pOYgu@(#z~wyfz8Dw8&D^W^n2!CVu7-VHIpt`9
zu1i(l6Q1&;`2?S-@%b657u5J>&Tqh^W)rWHJTKO9;HR}ZL;VtUHkCWg9Hhh6Z*J`8
z#Md5Kh5f&0sD|f#C@XDd@Zh9R9h+yx*x<}<ud6fE#lFp^MLcHMCeLs%ev}D!q~?<@
zg-uiK+Fw<1I+!A4cdE!=3IqNspFRKk;S{y==<{#y6HL}~@3s=U*fruzc=?^&^Aps=
zKH2~L2aF-*nzW~I`!caBuwf*SJVs5XQHOr(8-uRo0C{WNU&7%aC3UWSn964sPU(#@
zf~+Qg9=6RBugfo)<V5_S2GI7Cr^XDiDc;j4_RK7CT;ht-9>)Rdu8mqU-P;V|&)cq@
zIWa|Cs{GQErPoJ&si2qVoo@i9iB;eB$74j|6p`cO(@i}mb%u6&-B%liW^<M&hltO1
zS`vn}U#WU`Nj=Y_^wDNet}azJKzu4`TjKTlLM?v1|JBTz9=s**+7B`I5&!=A>fPPf
zLY=wRyFu=v9s)a^dAA(yB5L&RmKLftQR{6uoCJR9;)1(zjpvCD!fx8jw^i*E_1IkA
zm-I8bkT-NV)Wq3FEUnFpe9o$(ej0zd_x&#&n8u81w&^z$fsTJNDxQ^7v&^#Yo2>Wi
zg`BwIr)dquEG4w{xYT><@R+F<BfSouvWmELq<tjHijwXxW*1RAnk_WwqAAdK-TNSQ
zdo>}jJW!MI`4yEhL~BJ%ih^?6TfySDDu`1yb(iALq*Fi16cgSDv|-j3Vfn<aoDd$F
zzSAL-Ol2@?kczyng$nvR-&JPIh^HhES65OXm6xtZ<3O<{4qvH^$z^^|+>Q?}dSiEm
zxYltx`u&6kMi(Pgca^>&&PG~1t}{s@^6u1>gsNzu_J#V3+YGOX0AfI$zY`%&{d+E@
z5&lVgj>Wi>ao<Q}hgU^0@#<EceJkS&!oFDc-0Lh7YWklu(ajbSC3@}=S^HlRdGu91
z-M`iGFXUN>dT<fZJ`+E;u_2%MoxSO4=SFpylG}ZijujD=g2%pfP8JbY^N*ItCadAE
zR{l}j<Rape?TNK~u{VVC0YasBMiraM;XWUQi;4UPeRh!t-V+~GvtK^5SA|rw5ohSv
zVuG|7BRN(<C3@QCB|pAYLG+*c=;rSw#Gz|$UsQ6+iTvU3yy`+K;177Neq8AdVY@HN
zH!Gonm^P|s%e<@%6&n{-O7>gA?QL|+#ndVyRf6p>WkLz0Z_!J37v2-;jR$N>+iQqM
zVHNAt14>xxlZcuLEhFd^I<BvoeInlW=addKD}p;oKQ;F>jcCrW7$SeIC#)M(bGx=G
z;#iwg!D3lC@m!z%a$bHDk!$d=!?#8O@+lhj%qA7YinEkUgJ(1GNSU)GezO8(U1@@R
zy_H0IT{vT#d@CUxaZ^#bP9FMiyO>4_tBDhO+HVY5z7V{%`IZ7Z<S{75zGJ$qmSC}q
zzi%wnK}c*Veq_@v2db7=0)?TDxUnci|J?H%akRUL`qEPl8&_Dp-9j6P@?7%oiTN&q
zZX+%3%)BgCD)!hfD}N?rNQ@B*RXs#nQP}3ElCr3|rMFKax0(3is+KG=+edJIIA;FM
zRtC&whxeu(Yb9LwYa4rH4iE`y!a8#S(wG|EU7~FJg%}fd6*&_BgAlL(8ThSG3ik?_
zbv_*KAl!2g&HCgG6Pv%x-oH2}3G>(UzqRwe5touUg`aSY5gOWyy`@HyxY=%5++x*D
z+||D{k(E9{@WdUrPrD+4f~9~@^^&~==f>b$oRL2XL;I*4`DSs5M>@E0DD)G1uDq_|
z?wcVFTV@SHMI5SEX1r|%1_+m{B<6&SU&OHltvftd#PHHH<XBAW4`Nf8a^<Hd^F;gU
z4xRLVQSi8TtDjmPCj4_Mo}cgdLtHffeM8e$6c=`-oM&+zBXWL?xHD~CBo4(T4)+&|
zAmoU_vN_u%VRK%5>Jh^VG2t9fC!i*RFxAv6CCfhvIp3Qz7VK+;WkqM5YML<m{2pHj
zlAk4R)fb#SxbDTL2J0{7C<-G^z%9LM?icae|0A=n03&X=k9>2<5ke^&<J7|9Jn?8q
zM8`>$8L?Okr-KmeOpHVRnEWMD;(j}<Tx3OA^PpN&w;+zl-JY|2yGS&0i(89wa^SbZ
z2PgF~K~UygvjnfM5Eq?322G7{VOvT|LW`*&lKWz!PTXB1ruDglH*oTSdCko0-<kko
zSb}qJgwiARY^vkyCVm8&J7#)z2!J!<^-b5)jJQ;8d{(?#5KgXD*Ze94Ai68uDJqH?
z`3Wkk9&^GlbIR*>trNiL_1JwKBdjo1z4><jfEY;UWf|>f1<=1k$@4}S2R@SPe{5ot
z1WQ>`(miuQRGrgMIe3a2it@8Af0m@NT<UEtSR{zZQDJea6Cc(Ztsh!Gl*8k^Z`S(9
zgwVyPYOgOY0A1E{ae8+JnEiNK7r0Xx->&T1aEwm~T>izYU3-<_L8=cePZYs7i;-+u
zGZE-~uvW76SAmazA~o1p46RWUuUH?7p}P4ATYQZg!c83Bs%)2lyTjE;Clg7W`fVH-
z2Qn5yOU`fpDTN8)dA4%`GAP|H$yC#?3E`N$ye;B#s3~!I)O|+|X^xi*_w1lx;dbmq
zg`@%ogjqTE5DL(*nV@)5b#N|uuXug55_Tr<_u0UzgrDE&1Dq*((D`vBw=qZ+PS3|I
zg2t556`<1QbWb16nZDl2t0ahYW-|ThQ-wkpQ;y!W0f>NX24f*@Jn*S%pB+-i_MT7G
z#?nTxA6u<m`k{mElS=;8Q)EaakD0jfu5*3t{?PYm{dMki4#bSF=aoqDQLmTAV2>!x
z54>!I%4V{$d7U;gRz&p*);-`@N61aVbW?OVy?eu0M#0%!&i8YP#yCPB^dw|z1CACC
zKmXvX11956qpEjC=&*P%Qhgs7(*E^8Zbb*a?L8iP>%6bd6E7OovI4zOW`vi$E)3Mi
z<?n3MN0_N3+2DaSJR^lGrCoKg-Tx@(qt801N^mM#{Jar=4$GwvYU?7w`U{OTuZjKo
zv5P)sn{X|%&(QY04t594eH`vph2W{PCJXy*aJb(*`#YNsxVz@E$KS|9euI2JcZLm`
zod&bMtaCNv0w>w<i73?Hq`HZ(ufLSC-fhjK1;b1BUAgz!5xFq@v(McIpMw@`9^N2B
zzo+a;tkXC_9s6au_tz#Uu7+6V_Nd_uUjb{x>@Vu$2*z`V_iloGWX$fZ(kkE@jlK9^
z2n%iWbI8T-FE--&#ZKDYJ&Ks@ASM6U%}3J@pv5ImTZ2)^nQLdN9L(;-{q83V(Hw*m
zYqRv$>+tr9WIvk}&YdWo-7_UZYwp@Sb0g3ScC2rM14KkIt~c{qtx1e#l3eC(-)ITO
zDEkBVFABg#Ybw-<UV`?DF+RqeYza{@t&o=ETu2Pyl{o!Uf>uL*e8%Dqz@OQDa!&#i
zLVAN)vz8=iPni5;9NB^BTcWvJ|1J>}{e(}ojFPmNjkngQf&@<a`W)=EnIuH&vv()=
zOVD(VN>as07MKj&8aLEZNjx;psjGP=LAzS<{Xw?#23+-RHO-jop^mp*h<M{BLA%0L
zA{}tc9G48PpKDt8+VSb3(@xS7wBEm5+|Rz6VSDQZ-r|jmRCTwz@|peOG@iKIS3@ag
zFkV`lUf4xPdw#0h{$-&!P0Y~pMdlq-oIfblbv=`jW|!W$G4Y-_t;+04*f^spGKVeG
zR5Dp;uglG6>=MOkOw?T^j+agFb+9&H>j*oor0{+!^@TVsw1L$~md*sB8H1+;dpKzm
zxkY=W+Qn%cA;EiVZW<$<-%|LX8V~KeQPq2TDG8eS&#~`=vc~B7BeB<6nU5Bj)q4C%
zfCMdz(es?%dm}W?y9YI^@YBwm#HSzg60{e!rql7RMhMT}b@#TE0L`zl`sAr_N!kTn
zGWj2u5mfi<aEfpU(iTJhyv)^=q77I~KD}CQh+9qlBNu)N(#9r+{nvg=(OzV1d14b}
zh@HFMemVP9h&DVR;e6$@G_6hEul<U(A-HP&{7;q%(|QZ2MaJbaG@>BUHjv*C2k!Tg
z&O8&Lsb49e{HvCw^<3chiyAe6hpAw?<!w<~l}dA~`58IdyTs!G!XFJ#<58XCa7~O>
zxJmgQ7mGYi<@wo}&;kS8{UUUs%wL?A;7(y-d@4_?I@z4-m|=jNc%jnceiF3e{fB>X
zZc(5aa`69~dv1VT<>NU`!IHFn!Ctw8a|*QZ_H4e%b)SFVViIY1ONy2{^;?$ji6V_Y
zcz<WX`nhbst*x#+m8QMQa}(@zQKI1p%h$3=1H9dnPa!_Y&@QI?M{j0Trq$_MxBEyL
zBKtVM?UP|y8V_Ski0Er&8ZVbmlH6WHFgJBX6F1~&d-7_(P>-q57%pfZTuw7Y1LLBy
ztgJk3T*~*MH-{?ie*gdg|Nj)1c{r4B8-}y*F=ouz8DlmiVeG?A*%gwq6cXAfDv>Qq
zMUf?xWGR(Wwiaoz+-=B`B$T2=Dg7!*MaVbbzt8a;?{Pox`##rsULN9i!=?Wk!R|Xl
z2|sR8an0;rFX?h79`$)WZtQ0ad5?_<$!j$5Wc5D>PeT@-GK`QSbsIw&nQFXsOar5?
z_MGXs#=?rJS%C#-6L9ID-YXbI!;G?&xi5-rtPm^QKHqBs3;yK!OhHXt$m^~%4`pMR
zSoM!b!KN^XvhPXhnrQ7ZC%C(ejbgUhBGrqg5TCVfMXD$rgBfybbMCTn@>$l&8>MCt
zovA`-jiIAw&5B)m*V))+@M1P*r8$K49PF%nOUGtEr-{^5Ha4vs>fQ9o9I6Et-RwCG
zyhjw^uP|j}L${|&Y`O&$;Oi|X4=_+GS&nh0jfMP9tr}0+TsY!$;^6ER2CkBt<VJ8<
zxId(KzY}tyH>gd5(#F6aqtUKz$xKZ3=+T;UwgiRS<b*%n418tTyCwKK1M@d;5T&(S
z!qSDmKZy?*80;3Q*8YT!M+?_z`I=aPmo{A>poD>c#_EH-yEKvL`qH^7&kD9$jrXn&
zW}w13$K_EEXqYE59DQlX3R>L%%5+kA^XQS+J*(EhAd7eR48#CpXg`r#Pe+@BBG)Jd
zRNN5%Ab*VlfH8ICVyG=0Pll^Uwxp<Io!*d~jT(Te?LUL4N1C`yNJIR|S5;K1+5cvT
z5`deBa`HVRO-y?9HR;Y5Wz1m@@9|j*;Cn*75ld*u9UZ>fB&vkD!=H6e{jdV3qR=w+
zMGZ6+G&Q>Dq=0GB@7lHNtsvel%zKZI28xFsUM#DlV2Nf<<I3GuaAn2TM&lb)9DKfe
zVuuSEBh2V)8kDTSrm_Edmjo4S7q;lFm61cSzb~djn=C=Kp`#-pL>;fHURs^RN5btQ
zQx*!|mT)}AYE$b`H8ej${jQ}(MCr5H{UKku&|fS5p1f8So2t%I9&MGym91v>194pF
zQ|R+3WT_xyefLAtR|I5y^`3ns$_1b4gr-JmWh8apiKIpl@Q%rrH-RTC!0__dr~AZ|
zkl(Xic~pmhR|U)eHY!>`O6#4<l@vwH`C?P^T8w~Wl(t|jGl#<+n*TYPDWKy<p~z?<
z0_r6n`)R0c4r(eEx7X~I$DtVS1I{W0)VDkC-*M9n`tAJ=bUmQp#lyAl6kG|Y6{VW2
z3}$d*Kt7P4O~JQ&z4<;A5OC@0FG1B^rZBh7J^c4YGCqE|PxJc>0k5oBMx5DX3THis
zvyYjQG4hyVTSJ&ErdDYYgMXO78kDL@8kNJwoR2i(Z&^%aJxumWGl4txkF$=Rm%|>1
z?A+;WA|A@W|8hCa1j+)$x7!?$Ly7zCJI`=QsPBHv-S&Yoysx%0unm&K{<`^+y>lcq
zGbYJQ1@rFvM*h1j-nxGtUo5d*4g*dX&Sxz(2A{T~sKe26SQkBBV^BfHw_>NZ$2J(j
zmx^?UnX__e(f9UFc>x6%zurDf3O9mlYx)E=hvZPiaPKYG0(lhf<10nB5j+~Kk+`ly
z#;~OL68Xyt*cDAQ`SO_qwh<>g+_T8|Y<pJkc&j4H+UtH5zQ%#Sm%pv97o_0P7QIh-
zf0Xc+<yMW%gB;+T*KIGzprA{7Lh2hM6<njs4HsC?f%oeYt*<iVF>AA1pvPfVEVi0%
z`eDd{xjQA)lIQXmIOitq^<E84&Wg@|QRV=}`P_eU*$Q}LUG0BK<?6VJ(&U=4lmpGT
zbjL3GDdNa<o1Ii36~&#iZ|o80K(2k~oi?r#o}hFz%xh?%NZ$U(HU!@O<~=Sib(GOv
zaPhCrCk^D@)vY~C<G>p!u_J=oDj4`nPb9OJh9U1~{^{6o01c{Q9F0}c=Ea7kRxz5m
z?@pHC!7vW2>4{wu?52hW;g`8vR?@LciX)&_&H)c%k!XmSI?Df052_YpVEH4aOx%AQ
zFnaUaz^z9e^~3ktMz=H2BKDm17#Km^Ro&>`om9O4Y;$!ZFUN)^xOLIzjbPvp`D3Z5
z2C8-VM>3YP@ae{=aw^Ffj(>X`qF1hgV_K(95;|G<zA)x~(g|ajX*+iBi46^}F9gJ0
z_GDwER@0f!Dkjjezos+x4Go{~=`{J<%Eqgo4!XG1nZV@&k3M>YCMvD}^IcU<3u}ux
zzD65Nq2bi=&+-2>@!6GgKLR&s;m1q<!EJnIK)7kFr<_d3+H??&4%5O6gBPD~T{i=j
z-p=nwXXz-w@!WRBPYXSLCXcvnHHXr5pSbG+8R*=hmL<p5LWAne(sX4DsDD)7OufrM
z{hcn6FFM$m&^Gc=soMe~R3#GI|1r=^S@AE^o{g8MlXqpta={C2W5acsSoEDQJ+p{~
zCyx2t4pX%RLA@URQ}#?e6dnGx?I{z3PgC!P+_VIv$$|(IM<#CbIehcU2m`;Q+vJ9u
zS-}YP_Wl?8OtjnQtCclKM_c=Y<&#xb;Ia4Fk~l#o*8e>_^SMbA<zocbhYADm8|5$W
zZDL>*#o3ILPeb)h0%Jp302&H)y^>oP_*z_GyKs;Ot}$D+{lAp}9ubrS!&7w3lZlRc
zvx16suRYFYxC4xoEZ5i-PRH<?UnYHm>PT39`WF8>fWDR^hUUYXSfCnB8h)gLA*wH>
zUpfPfK7AT0Xr+lu&b&QcSE7WNH1U@gKage0-&x6<gEgo^#S#U)WDwi?R2AS!@whwn
zg9dK6^vANior0t9#TFX>Sb<oJxU{vN2I@{f=;ScS7%QPXp>n|rt{r#3)^>o3mpqe~
zq~0Lm7PspC!>g=-&vCbf%_DW}aq@FE*h|Egs;;9_Z!95J(L{fippIuGdJmoql0|OB
zz|g6kmhkM70qx@xRZL&<=oIk?0sn2X{%rM&3!Qyo1q1Oa82`$qWka6~ZgkJrI32@<
zC%3H}uG%Q0@+BAk0#_Mq+4Q+bc)<daq7I#`S5!hDz0d28k4od{nKwC&@fM&cI<w-b
zh$4!3f8!=bNMriIU}ejKIrttD3UQE7z!2@X&Tnj_k&q-@DwtpnCrQpL<al}V)8LiC
zV|Qt!XS`#XESf=ty^Btp7X=%vz7@VGkVd=CsT84PGsxz1jk|oFjQSh<Y)*^G;K}QJ
zVY9+!uwjoiw^^8sX)zu_?tU^Tw%qi^@k~?Tm+ts8mL!LJ-tK$-s7(ePH4Z82Dwsk=
z=AAcPBssiqVlNVDPe8-(<Gp5=OyH-OV-cyDgsPO<FS<P5-S3i=l`=H}&qFaSD-%gb
zGB0cwikHPMF%j$8r^X=s-s}3%1`<9w#ux6QPeh%7h4b#)jbZ#&%&$OO5>6E><sY9R
zV!rFT#BHL+FsGszx50sg4*WJHDcvMoy4geMM5Pg!5ehu*0!Ta#X}p%MmqQODuX*}<
zBj8K^;rJ+nghvwRyjIkZ@wf02=OiH`;P>S^M|6?Ue<lCQxq1q&YCEu6<Q@lX`dxcx
zsB$=Vz_IaIk39O<<w($?IB>)5v?<}39JUUxRGgnvz~#pU>>bQFkdk{#G)9Pw^xild
ze`6)wwvn@GT95-ho?h!`bIJHrD~ftGMHycv7yhUoFoe1bIZ9p}3YIy=PSm_p!Sa%m
zZsIo#VZ8oE>ZZ>WWUGZpiLOz@_D2u)oj+v=t|#cWPio|mcBcDnO0YVv&tA--9x;Rn
zgNAaKGzE<HTTJuRrs8p*ul$^YhT!|+Ze8*oMU=iV=z0GS6)CmZyYf>E;pw^?D&t{F
zD3EAf-~B`bkEdS!^)HwAd=tKfjsrX{4F0@td6tHgf(81z*9>7{?o!Q~d=*sJ&+d*o
zpotP0=`RLf8-jy50iBywaYtFg)59KgjP)HkS4-l6p;M^c+TUt;(<VtmN{4~ZhD&eR
zZREi5$;~I6i_}rnrzpmD2@~}(Vw`k?1J396Z<@BIBDNoCp6O&_e&cSptqMk9pXf2!
zGeO1EFE(yHoXNs1a%We$Wf{TJJ(PUUd=2#Fz8U!hY;@69lsV1gLgc99K&=%Ge-)Hq
z&s#R$+F|B&{jxDUbqLtdH%`Ndf2xP?g=pcisF&>*oJ@cz{<S5F=lP@-nFpjEE#y;F
zt`wX#0sc9YMly?zkA<h>cPnb+#)tlrpRSpLeZkY8Ligxs_ucr+T}y5BKR6yXy2lLE
zC-b=p)(p%lhLR*RZM<+}Bvs1P9HI>_F28=8f#zj;Wx5jD*yeCTOp?z6BzMoveN<s$
z>6r5;hZ-$p7Mx>iwOT;N#*>lRyO^lCS2U)Ap@p~U@$aKkxe&U_@anG1OjOeUu35T=
zjZCd|seibZu>R~ZnX6Bjm{g$rX)d3IQ}xc|2Olj#Snk2t)H5ay`zSvb$!8*YTqw&r
z!3wIwqT@3fnHcw}islu`K#AFz@0Cjc{u9}<B{++ThO)$o3@#lPb-8=mi~tD2>CKe?
z^Tkjq@9#7XU-&1j$`1f29!(4W_<?~+BaIjA&ud`A>AyG5!~<wve|EhljDf{sBLq=5
zDsp1Ocefu0sOfta@bVoU@7o!4`tz&f_OFENyK?}fE^svUZ0Pta-G6#pk_z6GS-hun
z6yW@phS2AEJpV7O8yHtt!sSEf+&@GDP|g}Z5aMxsd?>PL^ou-3r&=3Vc>%<~O{FL+
z(a>O-#lG90$T(HYmr<t=z$eoxzTQ&<Z>6uem8K+z^-qLOnF|5fthk%hew>P}Qa>8P
zju5fm^SS+WnH5Z}N{#hsRY&CzexD|`EHVpyDHbcN;B|#*U?PuO9vUHp&4L7E&ZyGk
z>Mg-#wT+)rmMT7svdE{BWKce_u=}d9B{-Az+<Bm>g2jKo+!Cr>ir<l2n|gx_QtS6U
zCwD2~(Tl`gvd5)xR|eB5M~4fE4!an+#}siQ`AzQ6hmu&e*Wfkbf(696lzmt9SHLi{
z*aOOrlK5C@wWXSp1&}4~oDg-9$41Gt>!xy&_@y^@=G+N$_<6x>*m5legQJJv?xad$
z{?dX*UkP)N-Jm;Xwug)<ZHq0tw@RY-M%T|@51WCgoYpc%r5qNo7V5k;B8gX${}#UG
zH-ox_n0p@=NvQN;Y;;e$6uK1`!1-iTI6TbCSsq40{%=nP3IdkmvnHv8GeV|tJ$=z7
z^CuA{f6sfo-Xx7Lb|vjn%P;}$H^RkHCwRT6E@_(^$lw?KA5IBm6ZkMTIOy(3#3Q}u
z=VL}?Fl2m58vjLOIOThJGM+-jbrMEnO{WNGY@m@iZEOr#I~oi9=4Ek<&UsqxMp=~V
zk8CdLHiGjZdFp<DWYOMZz(SeF3$I2SA-hl`_+>#qKP5uM;*)KkmdKM(Yr;&@YN-)i
zVoR%@TSmnA^55r@m&&2=L>%)?9S7*K1xAZoiRgLn+@JSyWVBya&=kFe0~s3T-*4O^
z;x*cmto^zatY=MCM^iZPPKeJvN`ZuFzn)z#^pZ!-xrcd<&kdo<?Y<l#o5vlof4?g7
z6wod)Vs=ZOA>3u+hV_baxR!Dxe)7E{E+-HJT>K0n2})KmZp-1(b3ffmRw^U8E1j07
zX9#=!T{?odlX1fJSI6yJDoB3nKpd1Xglj8pjsGsA;LgT)b#V(d+&No$vwhM4jP;ja
zdLSf^_p+iAQn#z)u(zIw`a1*o=`-q-Jt>d*XP;9dxKw0a+k5uxpaE>Yl<TSTO#vm=
z^e~7D8kq9l=|7bb1NhstKcD}fA|{QwweO$Pz)4b-N5r%NBoum8UR6`ZZ*#j=x{cD%
zZpB%lXgNdpeOvFB<60F=PVSeQda8*nf*g4%TSI95BVo~!r;1z4Dt15v9kn&v>-i2D
zLWS(j>}wy?&`$HVOZjC6#<Qeo#9l+ddbhs9bLwcYVf~n74ioQ%o7fHOb0GGeWNWe~
z6=(KO`3^*|aNEy;FVD_%z*`uvGo>_8a`Ml)F*`Pjy|`H`&oF}jbdrK!wrHS@LXX>N
z2`!ur_{hn=V+5YHDJiECY3T5=r0eHhEwqd>+I@ACF$k3_Co7t0;?pFp=t@^@q)u1{
z1QAT2U`BLT=Y%G1jkwR+@<<ym-KimI^_sxj9)}%$`E>kZv%nZ6>R>%dS?a}EQ&{5S
zTEjGA;HlFGO}VBz_|#Ukv?$69cGv|RInl;IDgVLv2t6GfP>+19xy~FSjfi%yd43+(
z_Ah_iZ*8={bS*kX-vSz^l5f4f#mo6Pr>5OUwXxkw;PK|AT<Exe=hy{F7ShgsShDA{
z7WR65Or(u+p@`A+?wkV)UmtDWqbaY29aOg$ij|fi^J`Y2c^eDYa(A5|DX=locW(AU
zkQFd?xi1{q$->h&%Sv*8FwyBo$ngY0fE)_}0@sa&%<6}2@x1R+J|tgs!3p4JWbC1@
zWES4-FBpGkOUF|C@bs7zfX=;keG$mSPO*@e$DY%$IH+GrwVLPQ#L(F7YnbR?QA<tV
zpn(qC-J-PG0V)-4Ycn4*P&bu0b#q7^(`A1WZVdn^zN!e#qcZSAL(Lc8K~<cij6JjC
ztzSN4qPaATjtzxXBTPkQ6p>Z4!6&?V9E}~g6`B}kqq!sDhys3?tgu>L%j+rJw_m@#
zqG8*x?-_d*1<f34B^)vUs_j3Y`^HbhA9>z)N`&Mvf|+4M^9RW6kn{Y&)IhR^bm;<>
zh}XU8NuIo3qgS;x$kK(1^@cCM9ZMi!olx9h&af5C(dA=_d)4vN7YvG5ltB%pMDr3q
zE7-!dxM69jh8OdhXQjub(D%!MBK-kN*f7-~u<N1<=JW(FPnDF!nuU`4+ng*RL)^VT
zn|F`M)Mq4mu{gflc=W6ET`u&xn)%(UQACJbDL<YihPTewRMarJFzH>$wD(fL5sKZ4
z?AM~0)o)OCJkJ8&IjrayQ<TTjllr}+C{Yyuw8OrR=M`^g4})uG$oPnKuVBJk6m4aG
zFIy6B4yQixIoMChVe-?DuPoz4G0n7Qm+Ct+U`BB(hD78rbNr&W{D3IB5T?^g)|!Fp
z729YJQxcxubi!_1kQge|L?4`PHH9YO!YX?nFZni9$1YV9$0YatGKpXcfiLbivcJjV
zIm(sL7yJ^qStD2YM1u+Re4Lwg2$#i{qhfiRdGBGT8|!+wg$d*zRO=a$kVWkq78kTl
zrH~QOcfl8pA!l-Oj)erAzB!~Hl)4mKLfX1A9gJaR?2>EiG6?86YOVa?mo#=ySIF7+
z8G-XgqVR>?1Qa+MX}<J<3_h^eI(0Y12(GU_QxUYCfKidvF7pKh-1ueSxb6Z6v_CIX
z`x8w-ZP7~OiG#A(e)*HkhXM`=2zp-XDJI~Jo?`_4C?f7F4Zh0a`FyRW%kQKC0=`|B
zJL7hcgi?f`!_FgyFt%g5zltu4{zHp9hYIBI#GG~El}tkrYxvbIn<k6oXNf-XkH{E*
zQ}Xgv8$)n=Df;TrKUpM22c3V-FOPpcv?vc244@!ZlJQ>}5#8S(xmUDK0nJ|JoZ5v3
zP&OtlWWyxk`(LQK_O2qn@9Td6=?0+pmiZ{-6$#G-{?-dMRK|wp7<lPt095~f>4T+m
z_%c*iPwSxyK17w859S6CP`gMnk0ImER<WVf5H%d=`L3@`Gk|-nAj<7+6r9~2VN1$V
zN1^EAgK=^OU==X7)@7$Wexb5zOZQQ+%iV|7L^Oa5s|N8`NeXzxbJEvriw3^WoA^1Z
z%G)ogJ)lsjh>bDZLdLvlDD!s1hp)y4@XEB}_Q}smIG;bEXtqHUca@hGkNWe@#d;8$
zXR3mJr_^${c++v(-}qYBDFgVI>_QVbql!P==2HaycsUXKEUl8qFHzUD?;K%u^qPL<
zzbuf6iQ^eNL(L7Lz;f%MZ;#dS=i1_6*FYA|N9k<szibGLj=xiOrc<%BHn)=F!$$I|
zj^FWY4&>#(5>erK;M}J6Y9U)KO!2#&eYKGT!3%U>B`OW?XFg#&sc2(zSxDuoU?cdQ
zYg<A6O2ZT3{tgmD+8B6wo9}fsV+gE$Wu9?M6CXZq!{6~bxLR_K)Aq#}7U$YBePigj
z%})YP&+6cNFIlPTRud395Rt&;FmT)?dA`zd8H&l0BD-r%VWIx!`QlLq=FjXPMr>P#
zcZFInyf|+L9Tm!HjY&*w+$4X9?7j@I(7QD*7nwsgY2?NW2^JQeJe|Z|vJ6vBFHkd1
zT0qL4+&bd~UT&*ZFZ|xCgZ%6=CF=|>6tA?mIMl~NzNy!d!<E|D?^9yHjkW~sPX6`X
zOW7DS(>;+=rG*ZAL-+hxX9bmJ+m=3OvXL<f=>surG!qfHoW2wwvf0s8MvaZsA92L5
zN-XT!=@h#d3=m-AyzbXe7Ro+y(mH>df#+;LJe}a>zYza+?Xhwe+PfOfQ~znA?sK(|
zU&jGRmIGX4Qx-;w&Zk<g<N5nof3b~>HKb`JX0NDX;%FOJ_C+}rhsraHo0-<|&!yXM
zM2Lwhuj(`zOVn{mor!3-t~Hblx}5uC$3V4T{kv{GSH{H~bEQ5EYbdJ9-%+rSjy7A>
zYK&ee;NhD^$7-dmp(`>yg_Wy`?4STrtqcW))YJ9`{Ra@}q!O)siH3p~$JZR-`C6y0
zR)t;@!1VXD%+8w{s3Nh<B*jY>rHf^?29E$VPM52=Ar)VpZxy<^gXgOPvn2`+014@J
zr#E-0W03ua!PX2Z)U63MJ|@6B@7rwGQ%!0(w<TBhd5<`56CC_u5ora*&DXa#{!l@O
zvI`S-MWW~?y}jFT$PxsLMQ2`{C}Uqw*rA0HVT@x-DQQ|;!WX+Ux))C=VmRfG<fBtU
zxGUgOY=0RS1h(jyf0R+c0l$YI$=3zZE+Cr!p#T>=pB3CMDyJajh6=r!E{NlyvpdMa
z7SLJ6CCT`ZQO~*4V{BXif68QgG_{(8hx1?Jf7)`mzap-5?wbJaPE7XNr(+H*X@A9y
z$|RgL)N{Aj7sO8&$G5fRnt_5W^S-7w5%(yUpRl?jh}LL0&HiT!3V6EV-UeB`d)s~T
zked)HyI6F5-)RaD<}zJ3og<(aJ>KD^nlO$}iPZZInLt_`TTM-bfceU<^Wr2CtWGO^
zSH0E*Y{S?2E=iL?*M*V53AQMP?f$SrrqdWC*Zgq*qalO-r|&nj{KZi1Md6z&M`O^o
z{Jwm)N*XhoeSB@Ni{ok|j^VWqBj`9lTEeoE#(Ckdefu;d@jYA+Shdy&9%i;0U6Pc>
z+9=V$V>MFfzDg?P#1ID#TjdEpUtEgTD)%hkdrM=p+NeZV7zbu5`pwN$rSVcj>O)43
z41W5_y}%aWfN5ToYgLFe62mo$77r1y*xEAkL$M(Un@q_Wzm&#11};SIQQrTPdBfb!
z(h$-<g}D$+WpMij(|gS&M5HaFHk}zWfIFN0a_3LWpqE7W(S#Nf9-)T1TIU!*YW~Nu
z=A{IjyI_g&d}J(tg_}!P833-*Kkd!yMH#XxT94f*cp%M{y=+k*9KQZ1GGZW$Cvy&1
zdDh9}I{{IrJ@@sYrC;Z5@|Y~9j1wO#>M0^KgLy<WLmy%_#53b6h**(B+xG6h63S=v
zY%KQIhfkswW#kkRR&@CcaCfR;lk1g(KP~jZq_X>4afBRNRV4SP=%``1u*&?Xram01
z8FBQDBx8?Q>bB>}>e!&{^vO?NANIbKsW_TRL6J>K_a$SgSh6c{-A>+mY|PfpPL1-I
z@odN4fCLRRPEK3SVCaM4_aygIe2Q3kX{79JIt?wzkMA|x=)=T6T8qA~68?MJlFcg9
z#L}V!`KaCc@b0MnLf#W)%vd)|_h_bLGdtfaw@M!bLkm_9IIE)Y!pizr?-(dCe<s8G
zpFX^L;I32rP7T+}ZD$`6VBsC#HLS%z1NdWjt9{{tIwn*W@AIUwF>k|ydBGbVciu(}
z*A!9lYOO<fg1Hu!U4O;m3pIq^xWAlxu^QO!q6pr0+8F+l)A^9V<BRd8MR7kG>T&ga
zBe*)a<az7)nJx}w9rS-fw${WCM@dOV3d?Zkqe&M1tP#XTTG$R#>3I3OQU|Md8G8B#
zW+|i^Ls-C<zZ3Ix9Ng-rN(<CQx$<agPofEkrzN*|KV{(VO*=g5n{-jx$2Zpdm?<PQ
zFdl#9^`$;pHP6c<x+ol>diilFk0VF1ciBo7%JuG8JNQT!P2+Rc>Nl7};c(2Gj3E}n
z@eM&^TXb<UNB_{<R~GR3-ptoC8`;<sopiXcVHuuHy`2|0#RXd8MBd5<Hg<cIpNsF-
z!ICNO$?yLx!7ni~WXUWWZH}3e7fZF#uk69G+cQ?+nxYY+BBO;Pw-2$?40$~zu5edH
zD8Rnl7RQf^Y@9jP_s!xY3%5G1mOjx1pde4{>u6=;^!_t%VxKWkyKhI-u(CD$4*&rF
z{}h*JJl1a;#_gTGmA&1#Z+rhvloFMsjQDF9nWYq|P*Ex?T2d-Ag=|XsokA4J)(}xD
zD|<wEJa3N|*ZN$?`8|%a9;%fmkEoz0&mIxQNqMX<Sb4|oYz{BgqP@uP%4k#Qnpw{v
zhY_qX8UE+ZA!8@q_yZGVwCw2M&l8ftA3}8}IBuCkEPJfm+9@TxKG<2m%~uj7+w^LS
zZkq$sowVri+lp9W2JZKI#E}eO`%rt?9ER9yf9ho@;Mx|kboVF`9B*PS;X7gux4W1$
zPd|{y&hvCKtmg#LV?R%6k&!vvv9fGRxGsl|MzW7jz2!ry?W3Y@dULq!IXiGATo&`H
zxogSK+$i62D>R=3xRg8L&F3eBf%hAxE895mcUZot#VG(h!|l0azciM2&MNOZ&WgUA
zfu91D06NY5Egoh`qKsc}<jZ0vl<G@7c{i7Uv_z&6soagotLSU&bBO`RU%zlZy=Des
zhO_l;_2Q`WajThfKOH8Dl;xJ%o58K_(l^#?qIh+uNm8)u8fo$Hrk8M*DU@^97w|cW
z;Q4rcHMMsuq&{7*57VLv=r^vUH?|2O&&8qm(b0e8vSd0}qOA#pD0I7T2@pgpT~GCp
z$Nxx;<huOm3}bl6=kcmiRRH^<Smd@3|09*R#<QPUF#_$!;_WT${1~v=sifuZ3hA;h
zu<eVB5%kG#x%r-*59zAs1`p@0lBt8QcFa~8Lgt3MPK7GG7#J6ST$YUvi=Qj;ElC@~
z)JdV+5v|<l|D-~@;42-zXtNmMziI$lQyR;*F&j`nmQ(6dJ3R_yUbA;u(1)Fsq0CI7
zT-f>|=4;4z2Grc&`C#aXJ_!13ogKKxiN@fXw3C|&^Xj#X8~XG>|FUL+$t(w&z1xym
zx|<nMc2bPbSr2~Qktj$$!+}-5PhSwpXTh`Iqw>0YbfJ8A;l(s62L_jB{)m%iLuc#G
zK#l#n@TK<H?!9~*NYmge#XNRA{@+~_?e97e=99Q-QGx@xUv?*S+jC-?)4OQqV>&Qt
zxo47p7YCY4Bo!SL+<=9ysiDpEI?#NupCdAt1DmzJb?=(tM(t%4t%^I^V8?VJ_=qYe
zrrhuC9S`NjYe7{Et2)}CXJM&m*~W=B#v}E_6+RqrPx<h@TMN?V&$D*i=fXQ)r$=U<
z@}q^$kCcjVE!Zk&_DL>r18V9NtsNf}z|v3$&2EYowC}DGz4VwHpTf|0s)i6sB)YNY
z4bULxV0QDBUp(l@tGO>TQ5avdD%e)sr$KwF>V|*Wyl7SYR^60S6nFm`<hXi}2C*7+
zWuAe2820hUd8Y?rxQl+ng=TdcjPTU|NZQViK215YT0151SWw1Uf{_M#%c)7SCIaZ^
zKUvx?x(T1%4tZETNQE=AnZ7S91+io9Z28|cNwhy#5@Ye63O(=M&a501!qb`cd+9Go
zqwdPhlY_NXh!Z+jb@8?^?%7k|eke%>PdSut>1v=t>7NLd#vdZ+KI<S=UMPz@wfpu2
zeWrq|@>t5I?P93-G^A0nR}NqC_mr!yP+@jd^I%GYII`6=e{&L0z`e53L;{Tlue<7w
zuDEW*6Z=!2>~v5>kFLq1#AzBl?dm(4#x98ybVsgR-&4X-MWdMST{I{g{uFH0EQJq4
z&E%f`QpT*L>{1D9EeH@6biUdqjki+vF@2<|VzSP)0N+k6Fmc#>H@{v6EkE}BCw)>4
zgY^h2(bL*+ocdF~8fEe6L+OjfPbgS4>(Ih$paZ#lU0j|hhi?YGZry*Uj>1!gUn==@
zVc*%b#j+ZC926~JA8pb=agWsul35S*mLxta)+nIItH$cCOilDEp*u6quMY~Fz&+uG
zBHl1`Igq44#nV5@+F3mVICLj_QY%*pyQBs@_PJ2;a9OLbO`su6%zggVb6FW5P+li3
z`%!VNGN@Rv)Cl69oSq%GQ^8YflH(WlQE}zg@MAd!6F8DIzq@W#1?L=R<M>6WsDGrb
zc++lE;L^p=mTRggNWQl#cGASr<Ja<P?wCPin%vcyX;pj>@bYSvx(0gFwQBEaB_P^U
z(O^(h4O=T9!?~D(<FeiNu7?0D=(r3WAk<LdZ|e8F2~})~<xsgX4?sszu1l0sL*b?6
zh-1^rsQ0;>{oO%xkf^BMA<?Red^L}@sJ>IgTi?VY9+#WLalPdSmiDS>@S?YMLySDy
zX8%3%bjBR?TBZg*K2|~FuVODNO=a=0-~6zLs0C0=hL|}&Dx=oz_iDcur1018pSyz;
zETHRvx4zPl68Z{weuNAO)LE10w%=$0|JWH-Hg_u`UHnOl;hQ4p(<fqNvSto%>pW|J
z6)B*=;|Uqjbw7S+xntkaY7Uv)Np8==<uUeH+^(EtUfka^Bruz74y7Bo=jbivP%ZP<
zme~WGsF#(_d&b5bs`Pce+L&Z9z2v;!o#QOn;a^rDu>??KF2NA+RvOQ+jP3~9%Yd??
zWjU7V0B0|Ii8ZN8VZ|kRs_owuGG|=Zkkbm_c>Af}^q)4ORDD>+tAa)Hhqm5=dkX=@
zvAcOsWr(9YtD&EK)+}jx-e<oiHvx1XSOp%&i{jmc1J<*pQ>0q7(y_uFX7I)T@qFri
zVZ0M5{h}mrg4C4GVT+D8g?hsL_nvk^jN2b!euZb8{0|*dd)rK4VSdE3KwSX0TzF?z
z%RWZt7&=&76E%Tr!_3!SKI20Xr%d^6vSZ|vij!9)4;#a=Et#8sI`X3Rd-1!I3gcu^
zw65hukr6n&eO)ZKog3}r+{R7}{~_&sd)2ATMsUghk5!Ty7cTSF30}yYB&R4{@qb+n
z;nm}Y{CqnOR9B4}?G>0NrC&L2vVU#>%fes1UYD`q@0W5BCn{!07x~Pmy5a_~aFrUc
zx{no$CMR`^F3ph*6RmW2BlLlrIV&ld%7SfsgRT6|ERgikRkp{6^`MOIY<RmFGt%{Y
zr^H?VORgDYUoUdhgIRj9Jw!MYitAI&KD=2bGdQ>IvVErucbZK8J{)DlE1~XZj*736
zDw1_i4b64ICF{s4XA~nQ`bZ9*v!cT_hU?bBFLj{%OzPL+&5YPZzek-Xksd{=I>(oc
zb)ete<k*TDBVN_yjWHT!z|E{I{B5K*49b00_0(s?`Gh}370yg3#BeKkZL2m69Dn^R
z)sqqT6&A#$d}YS}#-l23tk0!_6lRr>GDg(%Qm0y;Ue6~|R-)OST5xIi^ExF(CX~_N
zPIK2}$0s}j+wGQVpy{cYqFcd)hYo8#|H#0JB6)#fl{aZ1uP`qgeuNo+Tzp;KHP3|~
z?tQ(qL6-*pC-~3Nj9Bn9&&>BCZXVQKjr6_pi3&dUP6s|vSds6c<KzEx=9P-@$nlF*
z*xfz%OU|4PM+yZ4X}#+?;!IYQlr|MiYO9zxhqB{YcFX^MC<|bV<yN=RHcg1yPKmhE
z!GW`PCwzGl1o8Ox-IaaYH6dGKRzKc>3;)!9Z!YE)#{c$SeQwyU0Rc8Vp^7UTaLbK1
z63x#<@Wt>K9y=cm*sBxz+W7+y3LdQ7y**G2vrX@LJ>%1W+p_AP^M3N;m3!BFS9VBX
zRZ~oZ;(K*)6XKMu`p1WV2eYa!+HJzSTF;GI?yCdq`vhxNH34L)^0}lMB88qmS+{dv
zQimHZe$T3p3*y7#wGBrGq|v$-zGla$L-6LCOKY7%m>(hF_(e<>ciUQImOfU8M_0J@
zo9x%QRtU2>9&*@{5kFNjtPazMr+$x*iQ?Q@NLfXB^q*5bAF)dV4$L@skF5KbYsbND
zhtw6(#N)7rb)N?OisAkCDP%oQK1$tjE=LL7ujvb2y{if7I>Oht9g)ON)&+7(O$E2G
z|Gjo%GZiwd<GEOjq_HL<DMP7T728eRDU3Z-2$V=vx@s$f_ooc(Hv$E3s&aCuT&4l_
z?vWV@Us;q_%V;uqt&W?OqB`66X+iDx@3|3)a=3SA@;5zgP5d)B?j5xL53860CM#dc
zV_Up+1J7nEJ{62BtZ>$W!0j<^b0Z2UKVs*t|Cx$)qFM{P;&g$xfV(kVSPAzQ`t<4S
zrD1%-hv3+6dXO<8wEEmo8ClLH$$rYG;Y3j8F$p^Z_{kmmTW_ZdZt|9r<M~R%J<gu5
z-gO(oryZN$cH62VgO8K7cP|aAZi$0WfH45``yNgWHDv28+xjA#hBvwXu61#kLWhob
zoz{pNs&6sB(QZJ)sBqn9)|qDTJ~yqBA&i30Mh26alBk$mB<?aP3~;(}v4pdSf{X&p
zomxJcSl0j9uJAp;^+3ify?+!;k}28o!$uvi7RT8nA2WwTt2Q_Ee^PL}Fpp|xuPU~7
zv~(manS<K^UDrS|1z*;sCElYdqkCgXe!I5?><ehvxSNH7&3|sj4Y@0zX5ig<u5t@#
zo*H!h25MNjH()&MqAYHUVDh;6!vbcr443|FQ^nqv@Ip5)DNOEo_{?e60%YB+3(qR3
zAm?|_vKCfx+!c`Ap7zTErndc1dD5qZQu8CtB$p6Q8vnH{uCV|en}T_bbBfr^pqarN
z$BWZ@{tAX&TGxG}-*&PqpyV>}j;XWbgVfTEB1RT4e<&-FDNYU-M=p34x-+0x_}IzB
zZ|3mv&Uu3XZdv?%NPF1O@h{2VXeWN_oH;m3PI5Nfkj8f(Ma!=-Pm;?I>}B^0n#0VO
zDQ!<1Neo$La;h{MAa(sLOrvuEs)<J_|6P;7NoDe`+|~v%<i_<XiXp&iv(U`8Nl`oi
z+f(KQ%82ym?~6a&Bw$a4ZR?+KVH`QRlzvmWjo8y1)=*hx2Dc}(QtXWcac5-hNNE2@
zLRv94D`&_Qv`v>pr{(yuxZhKdP4g=;V{pSPP0$pc1r6GBn(*SFrkR80n?7PJyJj!V
zdYxYjH}YOGZa^n8I!Du_kBI!TuP6JWF&wXwxY_=T9Yx>A_^|Tz603(Ithwuqz?l2-
zO(SVmG`dtYJ5cbEm_G0$dk=>Z{F-wT5_!yoF4NNQCHy;yZu#v_JN6mERYjskD2xG1
z>n)B7NPHkl61J+m$uWTR8917kNQYXTrfRpZ*AdU|j|oJr>cg$YU*Sp3E99w7?Kx87
zCB)z>|6E%aePG>x)o@~DiL}ddI-Gp$8cFMTSpDmT9<0Q6#w-Lal2&&FFI39DAa5nC
z4M<DtL7>b;YqR4#Sw4FKPI)(y-d?Zi8?WesReBIwCeM=o^k<eLy4uM2Cdc@q1szCc
zus<*>F+*Nx>wZ$?*F&C&dbF$DM+ZXYc=;?wrbtQl4aTDjy(H(24E~aSZAj|a@9wrR
zNfs2(A3H`2kfAjh+hUxxVa!w9*4%WG9Qwx8_?7Vo`SWd3j#!Ttn1;~5a0!?or^|Nz
zY<mBbR9e#Q+To-H`5*X1jjR8VvG(HEuBQ)^hi_QQa(|`4Ju+(ayyqYC;?S#Nm6$Qo
zZFtJj%995F26HF+UH_1QbyC6N(G%pIJ-_e#n52T@@2AO|AN(Ot#;-iovYR6LiI;mn
zMNmQGaNEo~<q5L!`l&1A<TSZ0a@0YDp9(9QS^AIXC&=C}`Ztvx&yoelyYDIO(gfFU
zKHuXmPLd;wK@}-s^CSjd*NcnPfLY7dwnEAjDJ^MP9Ob`AhWCG*b*NN_sHf}+9rIJ9
zV#sXN{R>NE{i#bI!{#YqUKhC<IXF!Q%6|*_Rr8PBl2E&g!I%PLCffzeCTB=xxBcf{
zX|9pVkIh{cqSZiit$p~j?0Q}?3bz0An-0~dj!qu!QH2Sn^Bm3V=TNqDd#3NmfVtOL
zpT}vcf>r{@XzS7fImf1($@P;F%Y6I9BjZ(|>40fyde&dk{oAYC^eN2vJfOSk(yTJn
zz5kW&AHGc9b$fGc<^(I+Qx_s<4=O|7<?8yjm=$s*%0y<v8Fn<!v{usYQG$PcXUqRI
zu95yU#<1pMPQ3T0GqJ%z3D~_C9zBzx$MzFvT9~D|kx7znXx|q_cue2n^(dSHE8QLq
zP9I+P*&C;vJU>Oab&1JRdX*7<yaLP?d-#x+_idzxMG<bwGkb2yV8-S<H9@O^0(j+g
z$J_dR1>hSdJdOpiq8H<rLqZfGTsx;_t#n8M5_au<ZspI8j9S`lNBBi>Deu9%hYAXi
z-LI}ubej{W`tt^~6vVKmv`B8tl04Mipn7yKY{1o|A??TB68QG6muvi>JlLup&W_o}
zi)+Jm5np;YA!W8^Dquh!)Q2;8rb_sb-}Q)Wlch91^tK`XTVLmFVaT!{2%w~jO*3Da
z3{Gb{I|tJgV4nZDufe1s`Uc(aW?Ikt^>R|uLDv+Z%=>!Qsd{15@&2OLGcJ#smse9i
zY*2(xUTSt6uSIdxIX+;jR1ph8F1~nQtq9>wzb20VTIaq{;qTmA${5%Dg7C{yf-6Ip
z1yb}jVfL_C^LT>l`aFND<@{C|R-J-<;-5*O)4y`J-c$<e)uq|CYpH^4)#!%@$})KH
zLGM+^5)F(Ud!oN*L=9}-bu+}q%Hm3{YT7n0DvHEYbd?v?LFSBxuPwbiI?7CL-W@<g
zj@MD&2WeDb{KFL$d{F^asirp{dTC+Q;Hbgz6dF*TRR?NwD`BMb&>P2X+Ss%Hc{Oyj
zL8(kDM?Q7EXU%e7V`kOCeO#&Xe)PH^;4avuC98_NHfa9Gb4v$zJT9roTG4~&mVY!;
zQr3B$bJHx~w+@DcY+UY_F@#$EJ~6)e_4{<5)32V=LA{}ysq*VRf~BYTtG=2BPV30f
zp5*A@rycqBfyJh<hxWQni=v6X9s|DqjO)5+$coqs0o@J?<8fn}s4KhVzLilM!?-n=
z=|s$7&%)XJkEm4K@^+Vh;!_%Wa+OHl5wQS5psREUsCdfOrI~@1ieIdRb$RA3fR`pd
zxL&;w8~s1o*iw*NZCGPE*AmjMmAqgo*TiEl{n-+Xl`*L6@6KfP&A`CoZ#lo-=Y{9W
z!s6NGQ9j-Z?uKuMY)&&>?Id+XZplqiZ=}%uMC*0Iw9QcVETrOy00lQQ>QUc(6Tv@9
z1?SllH$&3i&bt||sz?ipa69~v7vsGCloYvahUVcX->GMnu~qlaAwPE}EL8g#5XHP1
zoOjx^U5ZphmaXQ(dCAjc#lU3?+dGzE)2MCk6e5pw69bK>-vp6Id~Zk}5w`?7`Iyxq
ze_7nFV^AIZX`GnYE!Vw0$pXmW6SQPMY1C**@lq;XBL3r1E;nShfYz!8nZSjO7?$yZ
zIirIf(i)l$5+UYbbFG${*eZrx9kORd#hBq}(~eS$QGisHTU-4<2%&VoQ{%n^tk7^`
zY?*c#;B}ZVbMQ@mWPZ<Z_vaTjkgN%e^+N&{3wNF3G~mG&qAW<^IXhhG?NP0-H-m{b
zr)J>>b{u^7-}x{p4oI5fm4Dl93ipuDY;PA6K6`rB!;H!S)W)RkRx>6rGyBi^s2d&b
z<jRlaW95L2ZL$fK;wGSZfic^?aFG=M!R8nEf*tG(>xz!q8iS+Bn2T-L6uJ9rX!>4P
zb_n^bk^1bi5v<Z0^|H8rlAF|pGX5>Gfl7MorphKm*y9wPJi^>Xh6{eYapDmh%mr<D
z^hv}J==2&S{c1wV9<B%C#!hUI;T_z1($4@=J#zMZ7HcO0XdYyP0vqhqS(syZqYp8T
zlwpeN0HG6I|7n_=4FdG`m~biS!-EOq+h%>giOj-CCKnMlcsly>6*XQD6hB0RXvqX&
zUAg?dz?=>8dL91BEbGF-ZNAZ)|4kD#jFtPFzy=+6@+s*7x^OCJsb6AfjyO2#6W`3p
z4)i+(Zd@4Bf%_%xte+n)67PQWGoDOi2Upp{GU<nO;MLuWDcg;giHWY(PO*a=kgU6F
z@7ND*Xq-9GWk;?M*$?**ezN6+1(C#yPX5|(#<hqNAwdUMZkat8IK%}2UO=J0uOD_F
z9bVLei}|(%U3=+a(DBQ+GnpH}XtHNZ{?&E8cl8--G6P7z<Ta8M;DP*H|B+WRTCkI^
z{S~E$5n{wHmKr$m!nnhu4D)Il3?0jDkyB&_<$f1YHG&Ux&&vz@AE1HE4i>?*i!5-|
z*6i>Jf**cgH@_XhMgvi&%ooZttnewE&(p|70J^WMceIpKVWZyAf4ZUUaGwJ8HHm^C
z^dq97+K&n;jhpABg*n0L`&C}|A3`9RIKul@i3;4aJpBf(ToC3H;2gY91Rke_^RIMk
z!sy8(-LG=F;r2lHl;>|zDBCCapWsnVD49}Ln6~GI;Dx~S*i><NbEPZ!h}gRBEZzP4
zFdrOwu=YSMXd|dgsQNYaXh6O|0Ef*LelU95>q_&LgxDRj2lnM@K&Go`ZDO4OC|lD>
zlvzqcXjak4u@nt()7iEtCL#nQbb_<d9x@O-U|G`jNCT!9LnGua2t(N7KUb&QvTz}$
z@#oD(4VZ7&vZ-Vdg%i?YWwBr6U^d+Qj2NFL0F0eT%MybW%HEuLO$AuqKHeoBp$RrD
zc9Dd;1Sl&_*;OVff|48K@D9%P_v!s`?wa-{`0w51MlpJ22oWvs`yD`q&ot+fZW*a{
zpWV)J4pD*Ru8hhH!&LZY`ecLi4QZ(M&^5d~sS0b&Vy0S=G?-G0FYiy6fiqTK1NL4N
zaM5X|eACu~Z@U6DYF@|!{T(OK=~i{9qH;HFWYLD4y5Y$?pX9*BIH{diNfUO{#)n51
zv|;|!zHe6l<iRSI^qtV4LYg)0$a!{MV66Wt(l4n9dg++?sFVt9TN2n=jPzh%t5jIJ
zi4s&WOr}ap(qLJCN`32PeK>dif)SIQGJL+q9sJIN20x8!#?Ou$K&IZ&a<o^0{?K4n
zs|z&X@uy$f=)IojUmUV#H&X?9H{*D=AQ}wrDDZC?GX@7*qgVrn8ra+Xd@@3zL9gL}
z^VO54P@(lnV75pN4!;}!Q&mERCxVmi)AMGK<FGx6S)Br19r}^g%v4yq$b4r)3qUSZ
zMdrXM3WU-RxeeK9z`4Iq9233(<ml1N8m~~`{^Vqhu?_{ME_u!<uJ_GI{btVB9ux?C
z!Jo$1r2?nEmUK9cnZu_#qciO+6lk34^NzPr0)uUB!Sl8jkQqAPdOJuBUdt}tc1@NC
zjqAmo#)%ftNDB}vd#nm)4Pr;E`eeYgNnyianFSne{yLddqymv1()0d7lJIB8gU_s_
z1yt=JY*&+%*Y~e8a`Y7go1F$v=kqO~=k;#u;`KZ@b0g^PxjI3Jb=A4t8f^h-IsK2m
ztSW%C`r&ZL8@%A7Ht4IneO+Jvr<;)?4~^cd#mAf2At}&1WPH^eG<LR3zNN^4^`GC&
zUZ)x1wPjlQqa1U%Z=x^jO3Hx9s*hUH{(nU6g_ui^x0(a(r;}~Cqcq%k$(PetIzv>y
z<qrBe0O0L1CY?FE2^fSgzGTWBCT4!@<*Nw=u#5WO(eEe$TJ6*1H~Bt7Gu>!fiW|V+
zQ%<G7PZZAdh(ukPZ6*p@KU9ue5nyFmP`eT*43#>K6mH%;g8iVu(32BpkUg3zJnt<C
zmCO<OM%(g8t+p$9QyHevXnvbTCXgRYG=*)${9cjCJbnBxKAOPuQQhT|hrG~kxV7n=
zVh!2;t87;azX>Fq%QgGEvH>;?jg`NfswQPa^J9B=uk+|t!9NWiPDr9frbcL#kp&kH
zC#2mnf~u}zUkGA@UT(A9Y|?kh3k^5oKYlZWvphQCWl}7Vr{47A*VP<?&-BvUK&l}K
zROx+uD#QeX(t|51?nt=F6{Z?SulG%_LzCP)8NlIliv;<hiP*-e-N@Om4-pjtrFFG*
za92*FJZY|j_?mY<r`%K@7AGdf9)4dX9<k<-)@GlH2HwR6u19+CuTej?EBhazrcwK8
zlhZe1bZpzH?`(SOfWLQw+PFlJ+7jfUhu?{xJ*Q#>PU=F+_kHRf#9yLtp@9Cz+)u)3
z$F66m*LlPoquBC|X_5G@S3vjDafC3((ujFy9k{ob{`D8W1>&HGuUKE>IFWns(7wQS
zZD2j6Ty1|~o~R8>blQ<UNznJcRe!rv8`f+Op63{yBV1)?7N$>36RyXyPENOILG&K6
zw5$1Z1Y>qsu(#bTk-eRm|7foTx6Wzp7Rj6=Tq4&lsuJ_Wm~wf2;Aa{%Yn$mkX__N!
zBq|2vH!l(g6%F^~uJ_HeHqGH9GV_F?Oy7aD!%M^km8q-eXQ`mOGgn<9Yn~9*5A!xi
z|3|c(XcnBkM1|V&riv{N3q*W%kI)#?8o?6kQ%Jvw3T2%a?LTNN5-dBNo<}#*K|{@r
zgYE&EAW<16-J|oDAdf#dFRRD^wejwHe2+EYL$jmnn%5G+d*AP&LmDIao_Y7#a6}!B
z)1D@rc(Y8XyZ$Y7(qV>%rCJ#_9d&R}lk6UHSRp!#KLlrtvViQ7a)zpC3dE!{NW}@R
z5lNe!i-#K6V9+qkEwf(@LL+Y}^GDG^tRHI!&wCDdrqi>PVxa~esU-i&6nemUyN?cQ
zTyQkkaH%t26&AZqU)eP?!2bXM0RR6CmuDc=UmV7b?7jEi*LAOZuf2X>mn117C8U&5
zQbr|zE2)T#L@7~LMI@x6<abDR!)O?h86vV*`Fnd_oHyq@&-3|ohj*$FkMV)YscmO5
zB?9dEmO0iWyAAld^=b<K@x!`@#hiAY2KdMBsIW+70p|b}g2xF#FnG!2bcdt?I?V*P
z6GS%9*(Fi$x*!D4!mcD|G^hhzT9Q#|njPHB3^#0ZMc_u~Uy~F+b#S<Q-0Jo>PWU$N
zueWke4DNO{_{l1&1E<XOb;2As7>MDPia`=kQ{r4qolpaTYr(<+rhL$%xXKrKM+%O7
zKY&TrtAUTOTd?2&KR6cfzf1Wo14pk~ImSO%gGkGcW<C=^2w$7BXf~9GtjmWQOOP6D
z=lZrY^Q91clE~JSyr}@2{pULMx9(Ro%p=@#6oG;=o%-h-N^q7%`lL5a9d6ito39iQ
z19{D)q@;9ZxElK|Pb6O*1lEW5N6(AH#ps=7-%VBFXjjtx8qk3IN<GqiYm(6HaqIlp
zni`x9&$@Dkj{uy6Kb^l-WFT2F;ay3q25`Ka{M9C^3Euxq#ixViK)!t9&XXcdpwF4~
zygfvOo1#^dKNsbJ5_afIP?{DTJ@e*N;4dw>y8OtO#as~<Hj0b)M3CVw{b5*f0~w;^
z+0373C;=zwdf~+<+AzewZM9}i8ydUFJl{8!!RGyte^W9AT*tkFX=YS7c~0@Lo}Vf>
z{Y>x>KSTwImPM255*qvz<+mmDsDZD4WyE_f8rVMl`XhIjE+ibkjb76=V5gdgm2(OW
zqW<gV8WzxpTaE#%aajZyaE@VXAELofTP*$Ix&dSld@@}8p$Vmt*p2s#G<e8e=03V<
z1O{(!q@QNef;FiH>%dwXoKaOcWG`q6$%`@N%S&1?$k)kr52L~5o1GUjl`yzI*v|Fo
z83_an`)4IiQ(-XZnub~mKt>B6uO*obCI$aZ``b}qqb}&#W`sFBd9aom>p_Mqbr0>c
zzmOsObHURnJ30g>x_yh-PKNkmiGOjKM0jxK#S8v_bhz=TFknwN36c#iHF^tZfTr<8
zx6EY=U}0ExD3&F`(Bxm&WEU0a-VW$dzXkNlzfDDwT5z!7r4!+v0+iOB!u)wG;e$=J
z&+E^c@S)}D8RktXu;PDz>7Ae@(CqS!WL*f*AyD*Q!9WC(JXcw`<}H9N!?3RJnL5-F
z1(e%Vd11mx_29o}7BFs@;}ATf3MCH2-8#<9&>nkhcGJ}Y#y*?oD@&+=Z119<jllxu
zbn(Sw-#>KF>ar#3m?(ik<orYS=uS+9$%ZBpN{8j%ob$;?6~OG)?L1cQe*DnA2z};t
zbBJ9MTV7L_gY>xNrzr-1aFs^EVS0!;)ZQ|16EBkj@4&Q|JU3VH5woJ%sRe+i3rwj-
zKH?DN)X8{t?k~Pai6`Co3_z5}pE_X&5%@f_|3-Be1F|bRC+9kW!Cdj&X7M>exHtcy
zR*jVj>1BLrJ-A>7lFw?|Za(6J!nkw9;BqE(Rr$E!adtC!W_micZL0?ci=SL>T4h4|
zoCh@eR7|14XxvODoE5}B$Ug8~W<q#JoMNu62~>21vLq!if#=AB+0|Mm<nXBffM>Wd
z9AdmFxsUB1W<P$lUciqDseE7FR#;&Kw;=v9d&M&5wNx0Ex{V1nu^k*ATQG!aE9H7~
zzBw!?!CTTcoe|v(lpVNXVhEq~_Zuh(Ok&=29gzSnMpQeUYpH(C0OH~!lEvi)F}*?>
zm*58mq*S{jUF(NFTw%3wd}H5%5y}6^36TsaB8`@&XRHq^UtOk>0!uN+@xbw3Is?+K
z#>+<T>cO$w_1Da)wRo1Rv+Ar21G43l${AzSgEac?YeB4Cc#>}3onHbBs7Lvq?XsUP
z{78;*^mOmX2iV3q-Q*e2qq4aCzCIoJVe1*Q{&N@?F5hK-+=c;ptWA4*@700JI?PSR
z7UOsmdu_|&bp|wN=E`uYg$AYW^v3ReQ@D;>&v4@c14^cdKl`+U1_#+s7blC&;-bB$
zvu+17q8)~vA3~a`klxCBC*aQ?d_PIkL`#ebWgp!%bF`xZ=L`A2UHCli!BAA}{gnx2
zsaja=>!!fFRE@y-xJCTqG2VtfmCWd#@5q^89}2t<5VMHizl@vc_bw{F-iGSB<vzVy
z)rPbd`mIIHRh)Omtix@P1-ax3Vj9=ALA98_-;#eFry9u4R}$G!V;hT9J3$-PwAq5~
zIR4_cll1*2_t_CaHJ?8%l?;DuF+!8{CeG9KIM~3L6Hzy5Jia|7klHTUpjN<uR<*Ay
z>|y3c{CvCP!U!Y~b=Ll`u8R>dU<wPT*LctsZJ#iM%UU4+_1r&BF=k|c^mG1i0e<8h
z@x)$hoCxd@-uh#K+tBR`pQUe_3n1Rlm!sGY5aDP2cJAHdEQpWFeoZ_{5OoCHoycg{
zgk-+A#(N{!&~)$gr`S~?q}r{?J?^Xtv#&Gj<#jlal=bs9?idktyQi9}^qT;D{wpbL
z{9MSVXU=6rR}A$Hji*)LAV9Ya_tI%$9%O_v=Iyv7P+>2_xf9j|pq(gp>9OQP>%=&T
z7<MV--EdKjBtU@M{>zkr4t}J5WrHb$EQ9P-j(<HqqX9QY&o}T%3!;Ywd8KaAa;Rvb
zw6t$j1K6^2Vni<rA*<ap+LDY4NX$^Hzj|2%E>(2xG-DP)IW1qU7Y-;QN7b$~FVqQ8
z&1RA!moJKxxvMFq@05^xlf(3KH~}v0^-Y%Y5=Y!;ZoMtose<f(f8M9FN`Q#ksv2yE
zBy!i?&Er3$ib}4vpSqu`3FqrZHxzbBqc4<?N!JtA(cV{W-UE?DXo=_CQ4t`EOxeDN
zI_)5!;&4jQOsW>7KapvSb(Kfb+Z8PT<0PUJ_ao9~ev*I~sW&E>q<})beU}D5YN0kx
zru37b4R4Cl?Y%!JBD3btKMy655t-_x%}S*}`=3V@6B5cu{rt^%!z^tSEqzaF(uN94
z+;>>CPN|?>RS_L($0+FF^4Ao*1R9uiX3?|Xs-hj8iN}`tsc3OUFhX)k2b>tc>0A+0
zNA`CA#k|d;BGC(@3_dY>FeM(YI_aT-G`^%)5g2G_k}2$$xS;_k{0cewCWC+`gYERj
zNi>vse(HV{n-LIX6!aOZG!bLk-QD*UXsGFmk+#;jF<ei*&!+N>h_1|Kw6(NTQRZSZ
zH_Jy;s4W)?y>dYd%~sy2sW7IZJ#H2zubyBKtrYf#TZDvq&gOgWIZQ$7+j92qeFY#@
z@{MimBnh>)>#My2Z6xhF7_ks%4jX0_#^gv6;wZfRqxzE;vJi{z_|J?E{5#i+lC4Qd
z?4M-z=XwH4oMg8cZKp%)0qv)ETeOhXC!IY-VQNUr(#1~}EMRTuqQyL`7D|4~ac4$E
z8F5KCv0KMlz;>g$og&OcWO4Cq6-$LYG97Ao(e}s!Vttu5ryB@p&)CNc2gW3kcD?#>
z#e56+)<$Zkx@n*nts_IZUxZN?Z>Ew{lm+N&l6CXnt0CpJI^Lj{yogNa4?JUT0YB=v
z=Im5eQT}5)+e;!WXh)2h^~w|-wrO79KOUfrY}f@$<jPj@AhRXjomc5#e04kvd#Q*x
zt>3U-pZkf2x}V~75~qXX`OxvHt$&YH*FF`57vZ;_coAH3%z>MeRad7}7I{*huQ((R
zU=io2c&n;8EH;)5Ohif{AFe?eahYkXZQ*5vV-djnoo>FtA>ydm!NtZTa2}hGxH31a
z4G>uS$KqM82)a_UVqgAs2@9_pPcI0>Am8-1l_sMQlKNnC>j(QPcCM$y>tC!H>^;@j
zdj2LqN@ynRdu6$XwKrw_Mh{G3<D0sh3C@kQLiG;ozg@%jMK3tGx0*m-NQm#pYIdaP
zadNME#Tq8h`<FDfVhp6k3w=lASWve2MtTaihRuqd)zl;zLxij1t^I?H$jWb&<`lDv
zsYe|9+v{rt<>gLYek*_Rzp5eInDbUJ&8QEgn<a)|_W6iDYsU)C81d*~#p7ixx#)?;
z^ojwT{*J7;%@=UmF~N=DCrj8Vhv1)KI}ISjCRaf~e-^(+j<`*&TEy<}C^$E8Umt>F
zl$REFP2eIRLzVfmfSpLcy}f2#4{iz^X}ZWTj7J8s?Z3mdfPK)~%hKeg2aJ`fN9;y=
zaQA`W<Sh4jjJKUN>3N+lXo`8|4G6U3vrNIeZg$LJIg&J6Yb{+M4@Yf}eTDFAA6)m<
zotVSQ>YKfGX6nH8e=~XI<(KeV3%52BRpv1IslBaN`E<7WKP%70rV6`da#p;Jbq-U?
zxMtTELxV=*L`DUn8Ov$=@#zoG92Wh;|FbL;4RWLVBg%GmVC0U|G`jH|wxi4@lYEg1
zhBh0vudjW@wEs)jn@gI*#7o+W|1eV_sHJCi^K2hhBN1G+ons#Rd8*rcS3Cux^>&LN
zO8SBI0>{^fkLR%wQD2g(Fa`Lubbj);4PogmGL@BQ7O;FqGu_iUTil+|QQ-1-1UsB*
zH|p)Rh?UB!92TT%!xBRzm$~Lo%wXX7!k?%m%w5<xl09LIYg_tOb=)Vg_S9cH*BX~G
zK0iC>fLA0?w+v>X-TQ@^JxjP6XR?YFs5AB2%xHm+OS<#$+%#6zaDgZ_xP}RnO8zDg
zv|vRtS+b8Zi~R^we3@Ulfo-n;>ZSS-;YSF^HJ0!{*v0z>m01n{Fqw-p1yG?0f|sZ^
znZ0vZmiOnyOR)^#<10M$mPr#D+^89c_AOwUBlZo(t&DIsMzW>r00G<&Fy|;vE@GBV
zJ@Y&iW^mmnZ+QEe26P@6`#qJtj1BoK@s7OS2JZ%qKADSZK;=|&;avDC_RuwB=I?1%
zn5{0z6^&AdNAda|kE7SIu+}3>i@Vu@uaU<$;Ex)}?Y4~n^5QS{^X5WVy&EU=J|1+h
z^;HA^sdWo$J_gWjy_;2kpBpYsX?5J5QiWQJo7W2uGeYe)@tATcJ_yx&QCM(Z6?)99
z_@X~Df&OVn=dY9ea7)r{xRqNKf{zP2|MS=eN4Z=tXKwlLUculUyiZhMqVp@uRY_K0
zz5Q@Sm`51=-}9V#eozH2>&w<OZm_`tzB5S<-$Y<-!`Ne&unI)Semnkvn-dIftWl#s
zh{4!1jkL%8%HVau=g0Ov+;F+wW43or0tAxY&2YU|2A+M(sw@q>uz862(=}^pSP2?6
z6)jeV{JO|F-D-YFRM>Sar9&1N@8W7R70U2sZeTZ`t|075-jUnfEDyekJ(|0_mEpPx
zamUa{p)J3)E^D_^gsCZ&(l{9vpd|4x|49;o22M`Xl^;sLTc-7@EJg*Yf>*Sh&x(P)
zmu#T+Z53ElJItCYsS2f^50XYMO2F!W&0%pT)j*||Bv&_}3i7|cvCULU!7aYm>OY({
zpbQgyn)Y1{7E~81l_X_>(tI-FqMIh%+Wzz|hqMNq5|pmZbdZN&w~ycP04+$Rc09b5
zM}YC%`;B(R3ZN6b-{(Ri86Mas7Pf~I;j6GKB#J9R%CPF$!A@-$hUy!WPf1W>zv^0)
zrVQ)sxAXJAQQ$J8G{@3bj>?AYf4q`b1;SnKM2$8oJU+bBreBr{6;?wF_C;z?+f^*^
zEsqAn<2|neKGI-iy2aDYPy?jGPDErm>Oj*|F=Nj1Ee;Qt$q=X^z>&SYL1#bcfMny^
z&!4sW@UU(Xt&xa8<CN&JWYYzQ-DkhXEE&SyKgMqiqqN|10_BzToDMuy>af^hVFCx4
zUdFOMAOXRXX#eDj4yc@~42VuQ14?N3wo}*1u)m|^O<y$)O!&qm@A(6G#>7?1OKC$h
zao4QkZ7T3(8giRQo5PgF{ofK+TfAcz)Zr>if!Mxr$FdMQ2z#0goZhYtD>J>iSF1>H
zN8#61>75pU=H?&l5z~g488!L!Rsx*s?}+&G%K{$0yAdrCLWcHVCvv>ARUzl%-Ph0E
zEaB1&gSmkp365wozxDD`1nF%#1wI*;(25R}eG$@vNsZ9zkBQR2X#45D>my5${F!&K
zEmRZUm_*3RcL{@6ir%ZdtCo;f>aO>zL<7Q~T(H-B%ms9>#1q8rme9d9<^82b4MGln
zmZQA?hq(}Z@VXHTIQ0A2%Y{l6sJOo8q~O#r*7*GXX_~(Ui0uy%y8T!QMsizn6@K*L
zJF|28vwzV+UH8QspZf|>HTa_c=;8v-b45=@>Ifa48XV)4qRYW}Jv_gdv5AMhDw#gp
zZVvCC%Y_=AmI9kW^5oGbW>j=ele)vg9Oma!7;Lt3$UT{3Z<)u6PE?&*5Ud2iDf`yn
zo)CuDA?`)4sqCnRG2?R}1>i03{>UXu0ob2~4!1UQAk7DzL1{-Y&{^2cr}mZ`T7soY
zn1eV`vbn{z%@bxYr4fBBFp>>^6>XofDdR+N;-G}#1yhjaJG{61B@+yirEc~;<U}>0
zPDh6Co4}iEmwjm+8`%1_-i9N7oQPlHYWCq)V=(iVv3w-Fh_TFK($_^f(UDi1&9e-~
z5Z>M^o@O(J?OHy_I`*6cJql}X?ZAwn?_2&UhIa$lKklb9b_Y063P+^r&R9dJ>>W}G
zB)r8eD_pccZsR~d#GRWTeKCOFfy^hT66$fbq$G2W26l89KJVPGWdPx$p2~{ieR#AN
zeV{&@9qCCHOLoNTgLQ~0kAu({&f}$&x9<)+>gC$^^2u*K;PJ3Of8J#p*Aah`K3mR?
zE?x6Ho$Ra!=U(?<rx@n&R>WJtFw2f=MF&dBO}fxl@a}Afz#<-V&t&wV0|$Edbz<KE
zQ(dqvAyB4%FXQ6wCQ$*s9O#$tL&pA>IuKy{MS+&ThVR(JLX1k_MCH#5hYIv{AZrKF
zSHtu#ZtpaEwAh;qxjTfF7jES#iR{V~P``<Lo^a}vILVFj19TPpt!Q9cc;9+Pfe|Sx
zXKymz<w2tl<nP;kp~97ulOJ~<WkM5o2gYlcd65re-dUlORG=JU`kL{G8P&$WqXn7s
zBXb{K>s>5VxY=bF@O^O`B3zSm5S9}_H3J+|Di0`dyIZ*7r#&ljaCQi(6A?uI+P~v|
z*ifKvI@-gdnhlv9HDXIu6++!T?D9=Z+OTcP#^94N2V&R24nKDgMmj3<j>d)B@Hp`s
zmfgXL-lVu>ow_T6cDOxGFFvXbNl`PH#$|3q8tr4`WfDV4?jiT`m9$}ZNnUEXBQIJy
z-gI+1RvaBWAfg}NO@`+0L&ipm{AkU7Z?r2(66w9W6p<c52L7pNgI1ydGPg=PnY1K@
zTs+B@1YI)J3_Hk(>=HzHjnChtK^b)SFU^F`M26s~XVxi^Lg=c%rPtE4a!4+{RaI@v
z%Piy~Vso2>k(AauHY))IwETT<PS6+$&J1UXTqB4g(e+DKdrTBj@SiU+0?cGEDOV>S
zejtW=_GOypg(#t!-JcI`2Quil{(CfUD1puxyGLU0l+jqIfLu-v8Inq(n488WQOZb_
z+kf(^X!gd6N|cB;6i=SX_*Ev2JktM7_r|IrOUJ=_qX2ElWxtj1JxvyMhSq-CSXM{E
z%kEBMTY#?hU9E{`Esv@vdxq@&2uLZa=B!Ep1%8SO$r$ZbK#c+3$C(E-(K7mHWiLSm
z3mHG2KgSeNg{@e3m$epJdX6>e|DeLL6dIpqq!Qw1CZA!?At9c48CHe{8hml>3u4bw
zMk2m@Qcip)qig(c8%0}n;N?{t!dSHmn(2o`!~e9=@7?D{|NPbk-8Ep}*R6^S+i%ym
zPiQ03VA(_qSs#*|^a4ev)lg~E9d2eL3No8&J$5+W0Q`eiO7-W|(JujY-_R{@RWBo{
zqE$m+9VfgY4r!qDxCg<pM<|G!=7<}gHwGI%k8Zvf1oR^5U{xWJg8bqmKL)Isz}t8h
z${%k{WFFUCsqju4d1M|qdgDJcu%;YQHu|lJx@=$F3e?a>QO|lW4ozU-bnmx{v=tHQ
zu)HVxy(FRk9z?T|vjL8X;YS&KiAaB?HTp^|5h?Hwvu`&vhesUSIe+aZqDNz?C&w-j
zka_HEK>llUNKXlQU(ZEEx(r4=M_ANR!HH`OZAx4F^+om0g*Z(#x9P=s+D8SA?M^<N
z;7^Cxo)$m;P6Bd&A?FoXt%$(p8A0tH9a5?sub541puK#aKj$U3-t(#=-}X{ED3cDJ
z+|#d)yv$06DXLP4mE+0ZhDUUGw_@a!_CyW6jyTS|ep(cL3MDp&$I`)R@MPusQB@>O
z%vID;5k#E_y4ycE(811&IWvV-1>pzJ<2OsVkpxGt<#8T52>oWLk<L~^2l7?k#EG#Y
zGkyE)saNLkx_+^<MNbh;HHK98US>cUD%n44+|40ocvWfXlRSz&<dd-d>oRUD@-nM$
z9YE6kmM81DEE1FW^qu3(EUvFf)ND-yX!Ldoe`GC<+^kz$)Z9n$s!K(NX_^4vf6Jqr
zEfQP3aD{*5SU0{A=n{125(ankr*^*%5<>zBlg>_4&A3ZTev4(98L$&+_YYW#AOn99
z7vsuuT<(Nm!M8zExX~U_XlO2k7^D-s*^YZ*&P-~|A)=;`e{}iN#t8v5+RLeAi*m4f
zTD?z?oeAi5S@&NJ=R*PCid)+(v#~>dE?GWF#!$=h!E)?BZiG_v4YG>%V<n<tk$XCf
zfaCFeVr3Ht+T&Mu!J@hl=V_Q@PnR-+6{Et+@1AT(dNW>Y)Sw2ZXKG7p`x?TrP@^-?
zcCsKVeqzdzea*OdOHtD58w2QR@~UzOVn$Em9R1$!@4zKq#M!lq8USOMS2f<vi00^O
z90GpdaQ^q<Sm;@OV4Icm<qKm#@rMRzb#48417XCe_lq9nEDZf+%ln7>IuunLE+4{m
zdifIHnd-slsu#ay*#_RY(Kv~3?U+Jk#gbs5E_gDt+C_@5<8Mp*Vvog6;9n=s(R0Lg
z;ekGLvRL~nUfVw<@{W5Nw}1I>YHxxL@E6A4qjas{>XG#yki#sld^FFDbDIuCu{wrT
zNUh+PF35igBh2ACvv+i!U7&$q_Vv*{xy!grQs?Upz6E^u2_YZDO)9iXy5Bu>Y#CQM
zb!mPF>k@u8m%fq^O$Em4us!=+m+`&MBcw6@75wq2a#{`t6^cK<qxQxu;}tKgvO8&O
zxOEC8=5!hbI5U5K$s1nA_l(~xI(udVPduG4{#%g(79Vsv=KWXjUB}pn$zA{O7t#4M
z3eUCS&z<bDXM|PU%h9i1se}Pls0lf7?a~Iqr@Fx7LTmWk>oY<8>`aL3S7)<NGZ{Ru
zuD#YGtm8|fDubJ$%&0!)=FxrI$nbVSmA%Y=1LsVNGZo`xLE%0!L##VUpq5E5*Bbqc
zAAC9yQdY@|-j_d>txC}Xh4T?iz6qOnsPv@o(Rg;G*={xVVuT2)6AIUQo-v?O7w6&C
zXigO6c#+owh)^>*`*yCH5gChwS;Rc#Mj<*~;*<xPpcJ@aM;vBCu~YXI_OJ4y<G}(K
z-w0_!a+bkxi261}*Id@x!1+=4Y|@9C1Oi<CW%!djnFXEoc=;<+P7odVT5(ZCfB@e5
zmTm45Y{;#leU<N?5Q@9hzx*jj1NcKTN>p0d5l{Po@r<bm8qhp^NFOwyiF|ute?BMb
zIVt*lm{ANZcYVh{Osm5~skK^#B5q{8Yvk0ODRCqKmexMS>cG$24-<pD=z_!z$r1)B
zBz!6Fx@x34)Y__UNI&F9iMui8J0ODs-q=i~da1+g)Xd`dB>^<^lyoG%L=OF(a<_S~
zbsiaPLgn)kLSL>vV3Su>Kvq%HVr>`IA<M%>A#zR_tv{jWdM7HP((9~hj5X?DX#DJG
zZ?-5pJ0t9@!J~}s2<FRtkkx?P?-r)Hf#S%s%*VMSUj=b}-$!>S)PSMbu-_|Ql89^R
z+^63TYAE_TXD)VZ%Nx#0Bwme_Mjz`^>!yV@kljVoD{T&%5D=Pjbk}QHWW0Kg{&|dm
zM$Vt-N{b}Is0MFzL83gmox7GgTSr9Uj2FufPiukv`Ak`p4+^LOzv&RZwVOUH|8;ge
zAj1L6Lec9oN~p@+u8L@)jSi)b-C6mv<ue?~YZD>L===71OJ5lZx<24lWV*#&#N9qu
z!unLuT4UFI^ArWi?iEhvJ4}NmM(bWv3pLa^Rodl|Lq&Ttc4(T9=)mU?-KcL5)zOH>
z-n+IG8cN>D-f;JZ9*j8L@yy)RK!)*GQWbB|P(^uE{UI*{ka6gC&9u}+DPl<)rByWa
z<=E-eu6;(Zyr28+uaiWyzvo=w*gYDmJfB@k+HV4Zd9fxOC$*4V&-kHvBO2Pr@Y6ou
z)eLkz<;u_LlhDPPY^r-a71>|%w~ZwL@bJ99>fcC0x1Jp2TuP)Mr*-5KDsB!(<E2j`
zK{6ukT+ejbrHzzJ>&*WBHix{b`Zt$^$Y|Fnqx0Y$EtK>2<+B|R=};d}DQ;{aA<m%5
zOD=Q*VxJx4*Eg_$@vJlQ(?k+#FphV)UapGntonq^XInr!-%?=3PAz07Ku8niQ$qg(
z009606qk2A)!!e-uN5iTviG>|y}0hR*XPYGGeVR~G9n{NrKCb6MJggAloX;=>YEXL
zPF6-%Dl;-l*()XE{`~%ZKhEPk&ig#hc|TuI{TUu@{XqsO8H$k?6ey@be1?<0B#kDn
zwQRFnWI%v9H!HK2gdTj^jNc%Mq8CvVf!q-Wl&hb+{X<t3(Ki3~-aWyOMpTsV8<jBN
zI<NSNJ6BbZ(J@k#O9>a^t4w!b^<jVqDQkeUMhV63Jp1;B$U1Jk<Km<U2Ln3)+ca`>
zUI7(ET2T4(Ch!H4eCO^IGjM*z6MIlj9({{_C@3^~5BL7G?A0Y<208ZjW0Eei$V^Cl
zG+lobJ8BUB`Cq0flx2kPYciBVC*zU?OKj&cBCA}1q@*d_b<fc=pA|#Abpwrej{e0s
zozCoicNf4|(LW{hvj~cc@mw@RtC$OpmlsI^7?ID=f@THLmrNaI#$zV-%Qhg7V2(li
z^9wD#41V;j-cU%VlmOxGeg{6fm;fzDI$~1}51QK4dh!U71=`tMrjMOAhFSmm91HSh
zM8CT$q<RMn^lOJrFQgeko@viQhCByyJ#)EHSCIvdF}9`a*Bipr!(VTLF0r5&k1Z@B
zdkJu2NHKqK#Q?&tRt9W~TE%e-yY_o$3GkFB`Ad+#0W`jd>mPWzgmY(xaC&eNAa^Tq
z%_m$R`~$mE@~+O|Px+n1^3<5vSv4*%t0q0@67sq#JoF3aN*AdNcV5SggDfVqCG{Zc
zQ~7*L=@2fUpj1XoUc+vLtU9io)`iP^vXYKWf5L}@tY}x}SFyqLm4Nk+I$$lTlk#*k
z!tb^X_sgDL#hA01R3{xBs2x-?pA&zAY0Jk-zf#^<?<gbqDq9<91KFgO@@DLiERTN<
z`zrSRaQ^b(7HzoGf3U7Zrwcox8D;GtxQflbxGI@@Q42h};>_482eAU@Z^hA0t5~|i
zm#OvzI+TfWc3L!zU_s^BXkz0kRz&rd-4R5G6X#=f+)s{Sj}<H~JUq3Ao$eg&`8r91
z;d!sIe?P{tw2O5LgL~Go=i}2tF~?~@*clZRpgWD7*P5hW4q#$798OxwOPVmsC%WfX
z*(`QxJ-mX;jQ}RJ==zdKO^EObY<%c2k0m_c_OVET1#~9*&&u&?f{kmB$fn5!%q4KT
zw4Rd{SlSY3K{-_5OV@bSk?<Si4v@X~YzrGW7vBuX(4|7+i0tnxMt`seyDTNvsqBDu
z6ATaLYJlvqz3Hdc{$eZUM^bN{;{ZkL{2u{>>L3_jdAk1dKTI^+X5!Y^CV12QZda0m
zI?%#KBy*ZpG4CrJDxnv-AmeJ1>Xs8~K$(zCAP%i#cibG3_)WNBOYtK$l{yMg%PL%~
zZxZ0Nb8O88%2r_LywtH%pa6yT&0VIJ1>7SS6V-QZ1JSmBs%-IO$X3l&?BZtwlGzK>
zP<uWwxGH+(=PC)}v}_z5&$C0<y#qqWQ~BZZT0m{xIT9$1nmOKP+XT_w@}D%;1mHhG
zo!kUg61-27n0xn>6LvLL>GNF{0<p|5C%n^Cp?Y2?QSIVp2n}xck5m_d=S<GPr$(xv
zAYgdLHe?Iz59@IvFt@|C6){`xIU=aH(9_<g^T0VHt!sRL#h^Ro+tBe+B78cShnY<C
z0)yndQ%X`2ZfPB>rz8=9WU$H5-jE-(&Wmt)21<i=V|&k1G!b51J`wMJR{-#5z9U0t
zWI<Zrf%orCB1pSbv+9Zof&HuWy4`JZki1{6qqm$09J6~5KYT3=O&#B3c7g(g<`>s|
z;!uSWwwtMTA=`mcchfVfQ4tO(Ey)*$ssg63UYW923|fvm7IXP4gLRE7y=FTJe7!`4
zgAYo;tCYFp!!ksW@$7P3{Yio+$G=!IE=xgQRvdf(m@0S_r7M@slflz2=-$J28Mv+B
zqpwp%hFs$z^9P1%pjBuYnJ6O%XM3-Q?nzgJ?>5xF<4x)?{&J_v1s{3XQ$JMUb4mkD
zrIgaE9H}sH;!{z7g#tYJ^)h<<eJYgFg1998Hr}nq#ra4vCFq_$k~kKs3BTe*E|?V3
zz$))!g+RD6*gWrJn=quoeeB!u4iPQ56s9=#XIKS{JWd%k4AP)D=|pw)Q*EHLoE9}R
zRfUEe6*ad5bg;c`>rxe<3mK;dLtft^fs~-Y5tke~a24EYDzVmw9U=~`OYg~$KXT#?
zvycvh_xQeCH#G#e=$Nw3ehNGjZD}z+PKVbK%v*{(jG?Yzhi-GN8kj!l*irtI1{Qe=
z$#)qT6egUDdLE(<Xl3vHZ^AT4kMLDYP6eouO1^jEhdKyb)=fQKrh=VHO?yF@DQG<t
zHy_~DfC|w$?XS8Tu*gOTs4_Ey@|Y_>eW%nRZ2a!)FZ>kXZ$EXe`llJ3py~$XTvUe)
z<8{xj`$P!k^-#_}%77aC{)*GpYS2%)G#$vL1j<!^N*`4+z-d${jPD%<%zgQ09v_nf
z{!C_j^%w)LiW>)oTp|NsN=ZuCR|%jr%2dJx1MbUZ^fdC2V9KYdDAP$8_!%lM9hw<X
zj1MHm1`{EG$411tZ5#M@wv_rMFu)Os+dnK*h76WJ{C@82FqS);c1w3-pDX)vTc;Hv
zE_-mw^ZOFkITBXzzRe8UxPN`_kXC>b>WSCP`MzOmZ8jV!2hAY0ze_^ZQ4XG;cDJ@6
zwBy~I?mwy+GzHDpoGq8-WWc^_+o<>WIR3^qYh2jf6!2LA)%JH1U?ta(Czrp7yMoqA
z_8`Cv)z<a?4N*wE%;B{-zKq9n3-7+@4sc}gGvV|NVK_44|L0or8ZO3MH`(2Qfz)tl
zyiuJ1Se|0;+&$04_1H5FdAm$N>gNv2IxRl%KRj!7^brB|D`h><n>L2R*jH}46<c8F
zzXGifQv{@(>3@Q{%@|&53q2b?#|h^3O4yA_0=gW1XL3Qu2%0VOxyEwYfThf@BcYUl
z#z}3nCccKCAZ@))p%K92=cs3yI{}%pA0!v#7(k+!<5LI2f7p=JjS|)=CSGQ6faSko
zefYVuuQjr25o4G)Pvcxny!5%`=N}|}*mBeILE!5dY|KA=IZ=5X*G+JDsyU|zvVq=Q
zmp6}LX-=2Ijh)u;ywErFo>pC$OJZ9i6%Am_&bSOx<|@8^XkSRRsxD|IFzNRH+OZza
zhz7w;8}+wo!b)*EF!|P^CP4lr=Kix>J~MR%zjc1Ps$@nRtY7-=u{~FY+Z}ja+v>D}
zCx|yps~pgVR_{Om_Izo>Q8R1qHCVwb57DNq8?}JP!$x$tsT-GRy5{=Dbp_`<lkjNV
zNDIWB>+AzgeZz@0k0R(rD|q7X=$x;w=)fYC)_aaNiu1&0rM6R6anq9;@+_Kk5EWZo
z{P%JU58!E#$A?$(!r~V`dM{{D(mk)&%Q=CcSlho(ymbwKeBMC*m^KX-oxhHi8BOD9
zUkg1{X4moC>6hf<sx-k<@Abbe&u8&xTa)W`l?aHoH$XbZN)rmbK3bS!^Z2nxI*tA_
z1eCS52RZdnAt#Srp}%7R_hOb_?d)PfFSGx=|9y-Kop(v%0fE2qj#JxXKM%5^xa2QB
z{_IqETETq;+x`bX6|1s!`(}1T$hN-{f@y%brpQdhr@uI>Zu_n)&K!uZ`L^@K#(yTS
zN5mQy{=-KPmA4#vzX|zOiOqX%%om6DAkMI?RebW`YXPDM7fLLC=qE0y230p4uIzfb
zj+@@4Bv&hOqlR09eO~?)P-|#13JN8ly3*0^!=hVJbWC?`K@%B_Vj{aMpRynW_Q6wE
zjkY2B4#$Z=Eiy#)6~^pYWko(tnZRSihrWw;Y<4Li!P}Q}p9PMxBZ~{+S96p3(ec^i
zHkv9V@X=J%V9s(NlL%*5^EClvuy+6T%nMamKUM6qBa0JNRgcK-ixooG2dwT@TB(9n
z<m*J;<D1cu8a*CIZ4q?kn3&Gm3=zb&)$x7)Tac{zcJG?aqNr!(kC|&85n^xulCVkQ
zL4CwW5_+8C$f~+`^XDKUoKBg_>lx=o2HNbAM5-ieisLiIZHVwh$)|A6kRL^ezO?MS
zB8^hl9eVpPBDA=5c@<;}paybZ<h?7hXmH9|#nX-m!%o%F;W9!<|Hql8gTr!Y=UIWo
zt>=l5)YYSDgM^X!@c#d%_bQ+)(cgIrO+=W~W1&<;ZAWsJKN^Kc6_L)5z85i|3MWkN
za!`H6kb-&E{+6rCsGaejM!|?Gl*`!!<^@ZjdHp@9f(#-O7d@PRvz!F2LpBg`PYP8&
z^YF{zC82q*SE}U=Wbla~hS<)@pl<53u#8`1bT+&3+01q|5Nh*#+eni`f_{Fx^qSNV
z`3dRfrebwy95^@p=7KzWg@>4(Ezm&UTq4HHEU8eZd8bS7lLA^75<2NyNkw^fUEF<M
znxMQU)wiszggEYdHeb7=iQa0oE;?`U^g_IYeL|Kpiet!U>Kve<=s2&VA0)M)QSQi7
z9S$P$FH8CUZH<PE%A}-)DzsteCa<6YZ&lPJEz(LqOGo=dBcM237p~5g(IiSqXrZT!
zyZ8+qu`i8k>^`CowCmSH4$Y8J<FJ21*gHCEKF<|%%fk>jV;k@7WLHDA=2z}qh@>Nj
z;!{qOe#YP&L~c`=P(vdcY;mU+XsDLxby+$HgR^!10p;oHD1Fd$VY3(w?JDJt3oi!f
zIC9apZ<7Wpr4<RLEmD!5s1J)rk|`jO><&M&25NXG`|G`=2I9NcxZCl78AywrzxA6{
z19|+q)^+9w8F?!^I-4=g;6bj)E%WQ@sNt}w^amdz+N1wWU+n?|Qp4{HBsHp`L{{hP
zs@009c5#ZB)XIRyw!x)+h=N@7gLOz!a%e(-n|;#K1_#>~3MNCzNHi_9K8PlPY%}Pi
z|83N7ethm;v!;q>MR312xkAX#c2wT4lL0Nhi=8P4h$vaO|IV*tJZSo&WR86j1BR=m
zvajA%MwQKncAIWuL!AfgVp8=P;D0HJaP)&Biq2K$D6?C{_q5g6I&JV&!Pupa^RGOj
zjtqyGxP8IxwuYP(-fsq$VTRlzDspIir-}i$SPypJiKcwF&lDP=T<!ULX>>uHWK5Es
z!MsB+i&q>l1tp5joZb-$<P_9oejsfLyLEi7`%n+Sw-BqtDe9uAXhub3^1l`A$QHBm
zd;0+#=dT>wswRwZzu&pl#!Sp@!bGT}9D_SYv###*5<pEeL$`u(0?fqpJS8=lKuWC<
zRXmRu(K~Ff{5#A7)p5Twv<8hq7WMuT`pb>J?@2Ob++zW5&Cac6Oe4@`oDF<hz6k|q
zxsg3mS)hWo&B%;s1cFvNON-xG(X`OnuFY;NaN024{KtMn&<!m!qD-yh@sITkR@hl!
zyGP(i<!uAFx+Y_l+wd1R|E=nIE`tEJ-KT4Ie%6Oge_8eF?H2Hb<-`+hssvbio4IdY
zN*|n0nSa9uC-E(gi!yi4GBF-r$=7~?dXW5PfqGMC6yMLACv>oQ9c$*fMG&sh1y9ot
z)bCt9cm<o}V_DX9Y_PE2H(gp6^!S@+a-Y=W=7FJd=fc*o^Kr+XWJc(K{nr!RmkwRW
znkmJslagy#K?m=n_V3!@%l~O7@!5OqUyf$q>8Vw0??Bmsd3$YGR?1C#T=p3=pCb88
zO|N2bO>?9HX+gCA*r(u^1DNG-_ycc+HB3?HjIpA&7O-+8K5Pgb!7Q(gcptmIhCSXg
zx3m8#9TMX6cHY}HhADa5H&~O`u^$q9I@?HekUI77QuT(1nuYquYq2n~XL2{#MvG_=
zPq3M?+&7I)u<@0YauUFrJM0acCJiS0d1^0xnZ-tO!;Y305uonXvWrZGCXgLzUZ29|
zvCiD@Q;~rzu%+t29g2k}Xuo*>hbg^?d68}l$l9@jeL-fHayJ#+VvnqFH2%iKbMr%o
z?AT!I?Q!dEfmC>DppcOf{s$YUxINq*%npAnva-iHsF1sz*`&8~8Ed^D-fB?F0WUVU
zqokc0a6z*yQd@onQ_i?lQYFs`3Py2L5wYr!WU1QMA-;y$mv~<=ea!`h9TC&r9cnNe
zWM{rhi-~y(pytTa+`zh&JTaxH2GtR3`hUv_u(w6%-8J{EAVMwER=z|5?B4S&w`W)&
zxlru$+l$*^2SHwteT)otX(Q6OF&osp|HeCUln-Vyia>QA8Fp(|UOAl44(Bx37y(cD
z;gtLy%=IG)<UT00oYB|>vc`d2*Z2j&HF`Sc#(ommnwb`pdN`rs_<h|QcZ9&@uzK;x
zlqwKJO`YrWH^a_b56A;1B9MRC{dxH<RjBFPR$P(21*mb^JQG_*;dX_mehEVr#2F$+
zneTW&xi#d8GMhNaZtK}z#ia^+b&S4l<L2AQ)q%IC6eQtxAt_H`m<W-7o2=Pv`GL;4
ztI0oD8tM+1&nJH*g0PS%S5lF{hCfPZly7+GK7%<m+E*f=cTVl;Dnd}GveUfagB+}P
z-F%p_;hPT(xsD813&XA-tas}S6aW`-;#}IT3JZ}Z)wm+I!*^DX%toZR;gP+&SCA?k
zzbkp(<B%9k-CS>aaYz|NV$Q#vJ4Aw2p10EdZW5rEzT?^zULtJm^++zDkRh&&YWp!-
z3LfR<TW#;$xR>W0@*Z>wtPKqJe{Pn6#X|Lz;#@NH*~M2p3RMG62I+m7xEz#8#$S9F
zrUpZYj1)Q9G{9c)bo8v7JnRm+uq|h|20(n{AJ>ii7FizH>;7B;n%nv0Gvldn+b+80
zN`xj{KKU*7+ZHAGIU?LY@1Y6()fYB@t=!0&Z-hUn1S-S%op8Qdo(Al$i8ol4v>?an
zaM_Di71(Ltdv>sv2475bKaRfE2Co*ob5B%N;bTzo16LC|Or1+`Hax!Jp)zy|%NY`k
zCrs^<h@pciN61$pOMP$>;E}#iNQTDpN`X5!=^!&&%!t?fKQ|>hC95cKZ)~cn-<b}1
zYA-7*w2WbEOo2&at{Mm)YIQF7NQ13kmC$x|3`()Vx$Zsc;PChD12=XWSlj%R5RU_R
za&pX{y-pqUt%!vkQ`C*~{@MN4-xNx2#C~3xQHS}dM>c$F8ZhB({@|jf8N3Wi6{oeU
z!_qY4ewPphc&<Gmy!>JY0^?&9Dn~Zz>mEbTUl1YRxb|&~GXth|O$_p$ssRlhjM=NK
z1hGvVgIEy*N<WO)7QCQ<aR7&m!W}tieQkB@Sr-EmB+hiso!#hn^RA4W3`r3F{pI%G
zeg@F=x(a={Nw7~)yw1K+7;<bek{r$e5f6rd)oCK|-5iClA9$f7q_sFWngN}`dQ8W6
z$}s7MWFGo)z&<}=wGSE$;2GTN$-SlsUPDTDJ%nZKpMGnvP?H%<de-?!(i9+9Gcz;L
zY!oXvBx3h=pBY?F2|qsXCkNjI9!H%K$MHGeKf@7UO`%8UxAhMf8Th$yUNLLx2W~t~
ze?>oR3QcPtxVxDW;9~vY=A$?BczE39f1Mj1>TWf!uKiIIa@ZG5O$Gnr3IA~yCU^j#
zRZh3mFT&v89hSe^wt`0`3}3Bk#vmhy^%?KRTzLNZWGoe1$F*YAUj+A=09SNdNPILO
zxSq&=`z()%vt`yw?_4m3Pqec3)2>_LU}5LC7C8c16m)%1C}<3VLiy4IGF%X<`FEG_
zhSylP`=2Z_G6Ekxa_#soc6iJ2_z~9+CcZsWY7bA4Aq3vmGko)v0BGGVN63(g3;Sfx
z1mzomR$$oui90J;ZAeXkh0i)Jy;3@J@aKka8gfhRms-MxMrhFm;cIx}z}$rcRDE!l
z<Q_hV&0%gSeyfIeR`EmD>g@~RdK<Zg*}J9h7e=YG<{7M5!LOp<%H^FKxshkj(GbmH
z?8GI%ex5)7aDI`OhUV(J@HWFbxVG^NR?l7AearD5j%g-|o88cXN4@XVnLc&cYnPWS
z0-eivBq3(OZ9y9d0;UogS$l9orDyrw3(L5{53_^&4{5^!*-6FeYz;0EzI6|q<1#L{
z*lPKwSqt*3(xL@|KjI&Git9|BmvL50R#r|-3$_=u1wMA|#Z_M$OjO1$<L6$HMBHA}
zVYi>e@$rstxTs}da`gBze&WHA(C!TnO;RRp^VS;0nF|-Lg@^yc4+LDS-nZeQe6bF}
z{@!EwNSg8fv>hvW@Y3VlYAqU&b{kYUo*Ku)-+jFI)p!*jY&AO1Ua1LhedNgw0aN(4
zcS|~{0c-e!3~p(j4Q^s8r`lR6vv^0fd&1$ib$n8`v9|p)6&^d=541j<!*d4PMKiPs
zh%aihyrnM{yswx(+N7|6&-<Rzt(Ij$wLXC+L#rC#u4j>%^kfk~QE;^@o5YHmI~1bQ
zsT%No(?p`X`4Z0Y!Cz#;i4A$=HTX9MsDsO$_o=48|KN_NZcvJH*pUa%yx5ImHIPhd
z;$Nv+#=pm-RI1=6<nz96m*6r5a{h}Q-TP<-Hz*3ImwLj960KD4rPxpaf5&`Fd%lKi
zB^m4bZTKJe!)hDvJTm;mI?mo0VdA(@+}L6FEy$lm<@~SBWDu)#c)d%W1uZ#VZ^?_|
zK{{uubRTZa$CkU2o`;XIB6GH|zXrX$$S&!NwC)BU^^V@w=>Eut=JK<LOSSnCm2c&j
zZ;&c5qTULYxp1Jb#yQlGECCdu%RNP2Ap%LX@DZ7X6LA#kH-1pw@W1P&j~*oxL1)+X
z!wGF%X!K@@meVI;<R)l#M%Rc4_ipVF@_EmVmL0e8{#URasT(_IUtIu8K(xP5fy>-$
zYyp#7(F#NTcy^u`(r^0jY+|JfoLpe}5NgJY{6!yoK5v&mzPBEJ&reqYhq+7QbwBu!
zIe&e_VO42#BPjpf^#m0NIG5k{$x;BlewB*(?w3UhdHZ_K-Bkh78iofp3ZiX(if<iC
z<xsc;AdUAbz+BWMMEVOO%i?w6K6M4eq>P!f3KJo`%D3Z_+IFPTY%c#3S443pmp=?$
zBZB1mCy@mqF|_dH+na1ZW%Rko<C7a%70Q@@9<RtsAh$o>2}BYRRV7DRJY=fElM{ss
z7aXOKnseTNe(S2pG0P^)i-!y`zNM==k7ZDeR?G3HLu8aPFh2a`AO##=C+p1e%ORaF
z1N2=jYUn_7#hIeH4R2K|G5C2{9^DuC$?aICfzIn~eu90`fRNp({Cg`E&`QD{*|cUV
zS}~AjE9KOLzBh^19EwWl(8q;Kbx$=>iJ;EyHhUTnkzdV?BxMxOS&$_eMngS~Nx?4f
z=^%KxHd%|6i1?`MuNsu;$U|sABG_LW?%UR8wFIc5G&SCK-p6$0lH;4ut)mM8FKb+z
z>Pg7TNi1sWHyvf4W1sR>)`tLdfqjQIQ_$>t7qvN7E!08b7p~MW1XrH9o;IQy8apej
zz4tvGQB!O~#LbN%V~7yTDXxxWzl)_97}JrDF6I2E{TRF{Wl7WjsEz_MLIdkOX{f?`
zcTB<)fE0JDrneRv$T~T@fyGc0RS)NB7p86S;!%D0>`4s-MMq1$GBuEj0N04OuNiP!
zJ(!=d(?EtP#=XOi6m+9n)W%qd0SDTSH0boIBU6m&%XmXXGB%F!AMP-KzRb4oi-<bX
z<4~epTTw*M{JahKOfjHWC9u?mTMZpF{urlVAcrD%nAG=f-vJVKdgB&VWYm&BQhP~D
z0u5VO+pmc3fEre<XU7dlh>v&aO;@lGy5}|0?C_fbO7*)8mJ^8R<*}tyr>9%drCdFh
z#u5eum!!r-)heSMhrYX>TxLPpG)s%VeGKrinpd<NS47vzPJb-Q=kTHPzBZHNW*hnA
z{jY3p1=LSg%np#M!&Mz(23ms6piVsjS!l?i9m<LAPgjSr%HEEMkU3M}zD-a4ilouQ
zY^KnTrFo1wU@I^XXbSO8)@6S!C6KTnk2jCRKdf8gujiI=fT4PiTYCwjh@F(IFmA!b
zE=7^9Dfj|h4m2=3JSBwgsC;Jq=FbAYYy!>7ofz!6=py_{Pyjvrpet}Xo)sQg4;vmE
zFahs_S6L&+x1o{P`yzoPHVEugxVt!S4EC2q&06KT5uy1y&%L8;FcZa;XXiJDfwo>b
z*A@<Rx_)cy-$QH=GH=mvPR|H<(;rlhkFp@SoZpmo1vV(Y7h1XGYX||6Hovm!R`H@=
zX<H9Av%+4hMx~V;1Gs%*|Mk)ECH!btJd^Il3J$Rz|CWdKVc`Z#-0APL`0zDDuJ21M
zkTmAG>`mU_Z<Y6;cgGn1hbdOzcXOk!N!R%DFg+kAm#ce!`-*2-%ZEIov%scTA34vr
z>w;I>Om~>%2mF)K%<m6B3Gl`__PPm07a}KLxaRG5z%0T@=TQj(JTu2E^AdF6Kg*@t
z!NHA~&~B;R{mC1?JV74vSk#7ItCh?v(%qQ&fm0<<ZW2H)>-zyUcWtPt+?L#6Fob#4
z6v<(E1h`X)545#w!A=G_*mvnWR%rL)y;ctaY_4CA5I5I?_8~jFx_#pqrt;(8X;l_r
zJhN69!#6l<e|@Ot<TN(V;r63p!}n7K-(+py$jko&0096043~E}m46t<?Y%eI+c^iv
zaqRIv4yExEO4*|*tFjd$60(WXKxLMZNFnjQC@Cc)J6lr79!328|GmD~b6?lzx$pbo
z=j@N^CoCiMH-4zD$<lyCcsuQFj0A~-SDc=6tRg3+>t@@!Xn-kHMc3Sv1QbF0saG>=
zNM(e;Bdv$Dpz&|HQNLRa0#jA5DZSZ1$XXj_4k>iNsr0YR?u;6IWcXsxb$bhWY&l$d
z^ASC$`o?UPtr1~zq?SP_^e=L@D?Q-9eg@F0b(%IzB0}v=O$l+I9i+BsdL)d@1W;sB
zDWgaP|Ie+jIzo4m*mAyH@@r-wXV~*Drl~@W)79b-ODYH~q7RwyVufF^u?|f`DnNA3
zp34iShW1O1m-UaZ!}_vemz0VM%oR43U==iw_oeNYxeX_r^>4eAlBf((H3pY!_h^B%
zG1Xf4nG4ur$5IPc36LEzdNab49@-CDn98&AfFbYWgR<@f$Qb;ke_)9LGNN{-&Yb6k
zH@X#%HfQj#@bbaoiaSg&<U8~vVuBB%P5(q|2jU^*QqzfG7Z#{hsgEp(5CF4mx6|5O
zcvvKrq`tRcgEn*2nE`~rg#S?F%{MscjC3C2_2z)KvsT(Y3L<b5j`h%n;Xu44$K2PJ
z3+Cx-Q>3&-!O1r7&43vWF0bb}jos!3>ckeKum0jt;gq|Zp@oC_pho%Jc^)Wr`t4hP
zK@#kB%dg_~_TQTc(s(%YfsqTxx42hQpm)~Mk;wrEWTjm5(M5i+k}Gdq5s-n#!`$aM
zb8&ER(9107p&;y@Sa*GpEDO*5+U5%B@eo_nDq`;=3`wOATYQD(f%WS<<;pBPMBi*1
zwRSlG6}_i=uhuGn`mNrTBwGSB=6{wc@)rXS@urqycO|%Sg0XDfLKz;tnyGCrlz@jJ
zO_71pc=+=D+p&pg75H10y(zpS332(We6J@7V7?ORW3;6TRF?h01?tjJ_O{}I^CJ~F
z`hF(&>mU(ubusrnFUvr9mX64+eQxj-Ssb1tYH$~EQT2H%3*YFqSz({QMC)FQ2qtxK
zDc!YrB_IzgCtuI@m#V?uJ3zDS$*|)z_)*eR0ZIodT6YhTfc^Tp=g)dIfZTEWqw7mW
z*mzaL_3RA^cAj)=H3w)xK4+sk=i0uW;~NQ;wCce8k8#PLr~`F!I?|P*c<Aq%Otj`z
zhv)8J@=#hmD7ChmJs?kjR74{8*fa@*`tNXVPwK-st8i);gEB}qq>0D*k>H<DZVPvl
zA$&D)^tkm>8JOnoozkpRgI`e(Y_d!N(w^jq)8ka&oby+3Zy>^h2g%u^;zq#H_Daj$
zQ3cql`n=1TRKfRm%#VRlBaoM9FjGCI0?ge1JgyK4F!XQFWh0UT9?$Bp-&|IPZ0JoE
zVpoFDTQ^M%sf?j6z}oJXr7}z;CZwe_$U%r6ZD_NtF&vmIXSDSpz;4R`7wcJR&}}3~
zbtV~uzGtLctR)`on&{?fNaDc8oV_q`-xxyI&i(19!ohuoqf%%72tr<{Qm#OpF+@J~
z3ipXq1ih*ep(P3r*kwuSvz|7F6R+i$1eWB%Jxa&I---pkH^{8bu^9u6XIy3KK{=3~
zzxpdLj2b%VqE87{QXo8kOlCJ-29!L!y$Wd8kO1@f)k0GWY)k&D2pg3GU$Qx6aBvh+
zuI!Ky?=^x<H|twnBuUs|xpdu*qY0hO$VZPl8o^j4qh=LO3~pv?<fF+`=uhgn8r3O)
z!^d*P*ZD=@@c8eg1-eD_I{R7`uO~n@*O7lWR0M%Vc<)F1!&P+Eq;XMs0s#$f5e3!|
zK9G0k%#v~6Ks^Yk|D$z7FbcDl724tk`na0l6_G7eM2nR1mCF!DV;R}^_Wg)u3IFuO
z#umE#@7QF7x&h>_y}fuA&kB##L(cdS{-75^5^hX5>Vt=&FkaA&5nh=-JyS5dh4QVP
zty@mjgSk6`A53>?VdBZ{qqE1i(61Y;S%DvP;p#0acBVBd2)l5i;_lT=l;Bax!N;Nt
zLFzd-g2Q(ZJNgw7qxcPUmY)0mMN1u!_P${K`Pn8CPdE_g7q^b`#QJR>c&H810S>Oy
z7gv$~<2Ew!F>7e+sI^AJiWbNnt9o$Wb`jx7ze(^-Sw$Cawu@{W(}K7D|ENvsXA!PT
z)YlA3R?um0VpBkgCal`*tq1>@M3N$|v%Vi)Mzy|BsOQ-=p%~vKsh>EE(6NX1i4m7k
zvc*3|v0x3j)|l4I9?^}gU46T|@n{K^U1u`;JV}Nn(<8cn|Gq_vT(0h~-4a^SXm#<!
zNirNR^d)f%mm>Zqb4r07i>T&UNZNFpIs_)O@@qUQM%l`{&PZQfL_as4n%gi^hp@lW
zxODR-w7uwbxU0`1npP1ZInqc1Q|rvK(WmVw{h<6&y(f$4N=`@iWrPIeZ{&!$+ubPf
zxJZpT?-H89c#x;0MGa)^ugu6$_oI?eV#H4cEurlEhFtc?)WDO@j7d&;7)=v0uQ>B}
z3AL`7dKJ(|gtAHFa4O|7^bu{8=6K#RT2$x}J?2J)Y@w)p<M;{Gr8M*THJ=qU&Li%e
z(1I!)jiTA+yF7(TIiDgLo>@ibbmjef1XMx!&>DA+`*$?Sb49{GWDRXg>AU;&kP2+5
zFkIt1`vbl8n$N4dZXMOU&qYrkt_;lqAzo)L{zOqCkt#xV6a6EjNqe%60Pn8x{!mYw
zL+9;+#c1Dbp<HJ!Bvfth@AEM8U&*co^hLALt@F`;(Ty`+D`F;ixLjAS?{r`Z{b4p~
ziI3PpSGnqj?%cwGodacaz;zit^C#ci?)fg7ceeAW!Ve`FzAJg^(z_K@bj7pfU@8^%
zOaCF?l#vp&+8{X<#%pL~dD-g53^jHz|5D7)JVjXQJFo6IxsIy3FRv?}rNt_1ngiTf
z6afyp{PHW@L|c6se1z%fv46Hd>+fAr0B`QcB$f0(s8E-zyGthnb{?#ub3q=QZ?MbB
zlx(8`Wn7HwADJ*0-u75OFL`isE_N_j|A(?<Az#(DSTN@cE}VP6<=}>3AofF#3X?TS
z{@d@sjvWnFjuW{m2ZbY(avcw-G1g;t4BWe%*y>uyP9l#SJc}0n<|9UnQPjOeYkave
zi<(lyBQIpZc#i0Ue@ln$o?OBCGw@=!zW==w;VcW!3}k-fWiViE9gP}iTKKSp4{eP1
zgk&K)kf7I)%7pEfuC;fT2w>4~TntW(%fNHz(!#<wEEwnA;v6|l2>bBps%2xX3{)HE
zZ@(93$4(0MN_}8BfE80heC!KkAfwHAy6rV5*1a)U!G2u~BY(POB2y#-5;>c?Z;o<f
z6LzCD(IS%AEKk|*oF*A~!kJexI>>|BxBm;pr%Pc|;n^+ge`TQdn9h!FG9M-d7C)Ed
zWUxldj#d_HSumkl%#?Q*z+SRS2k8#VV#=mJr=y2uA<QRF8TAyxa1VQAib~|Ml~1P_
zhEwFgVCd#@^BocF?h|#S@vb7)d6}==`HDQ4yVFKEEQ(^6tYp)29^tU>Yc^uIM+)F|
zvb}XYKmzM&KkFLZK)^mX%<yh<D8ba<(DFuZDa<Fz_@Lda3Kk%Bj(YMl4n!k-j?aZl
zW5yH)%j`rVW?A7RzVe*_IpY)c$980}|30A>fw^j!f;X$lCFlL#IDGqYSiBq-dHmGL
zLj@#^x~%Sfu%sG1lB~M%P*MS#G0@FKZ>eK`m6ubv-jkqu&mmW(UJ>i>waoeGNXF9Q
zNUv1$$&lXZh;~@uFjuqa_RUQ)c8mUKRcxguL<F^RSoGtuC-UnFa8d(%e*J|l`<yn2
z(7vG?peSQJUou{)oYlY@Kc=SmndpJybwbvWSQQMfIydMjtbzTDU5#2OHvpQ%V|gnX
zs#r$<*Gg4CGFIGS={?L0pmW9QrGY9DyAng@zvQltO?SIRXQ~=OWmZKG%|#+sHs{t5
zPDR3OT=|@=^eMpT^H!iNf`|p&QT+4Pl!(PENjcHW8N;D}h5CVKh?u!>BaS<lfSG&e
zWh9OpLn7xA+Qvu3j_FM7h1x1&f3B@6^>~=TopW+w-DFivN!)5oX;lUj(VLU>tv7+%
zCv!A$^U7GC&Sx_!EeWju8>zp1&;&Mi^Ni&j2-xqkjHbyy0@&xcdq;TMOn@l;rM@T~
zhjlCJ9^0GXz!ch74~He2K+Bzxod2>FF@kit$?-I5%)wT9lY?XeGoGAIzKQZ!b?fZ$
zn5VO7o7IDZ+Kv13_nvzkb5RzX*VNzXupB}>Q)0{pbd2Hta=G$Zb7{=VRxbSB$92Tz
z9fuKGN`WibJkqHri80|kIlQ{5z^(4}Pj6ug<jxoHzYiA0bkC99H4oFnWxUKE+BhSK
zzw3n3Jr%+nxm_jCM=^m<i+H5}CIHubmb{!GKlb;taaUCh3-rbqHr&4eAd=I~7u?E?
zh0Wbv%9CURw)pWj=`RTU7SKqo@n^>xueFtZoMVH7t>Q67U4~#F_NeLO7$a8ISoTMP
z!Vb22mIbrp22k@>>A&($8qA6iAWVOV9lDct1`>Ak!Sp|I)|h>tmA&!!E6U3b)FI>U
z6Ega+`+nU>*>nwkJdnz)*vtk(_@>$er}ZFMLIV@-{)r0yy2It=$_5Q~g0;@KbU`n-
zUS5teh<1d>k>As^L1*Wf!f?M15J?!Ljmv#h`)RT6;c8a6m~E5)SxyJ$`Rr%TMD`%b
zT)K`9msz1R@Y&tuFl}IAEAY)lrjX*sLoBYRSOLdgy%|5C1wT!l(;7PG5Mr7As^m#l
z*wxk@JEE@zp>8*9quZB}CsgU8(t)f%QI{fl7ioem-x>2!+jWHXo)0H$Ju67xv8#F{
zpb1B*J)7t9wh-aiPOo7lHi&D!&h$J<17t#;`_R4IMzWsW{3)}qSJzo!(}zg|o}C`5
z^vKyo_Ut&C)neE|q(Wq*HJ%KQH!Z#^R#SoI`2Z@lKn}1>(z^eYiwy1z8pY9EG+;K~
zp<|lH2_~M3!y-BAkkFnIy6r&=$GbL$PhRALKuzi|I8}9sJ#AidzL^dlr2Fhy;JD$%
z@es;pD+#U$t)-euF~BTc!_(e9Zg>;GBUa`{g39Vg%l+|;V59PSpz=2l)K5ItyTL?)
z`Q+*tJ}PEt<>w@~Z}P&SM_u_JtJEMvEHbh+js@aGGF1+U^21!OAlo-rHK4`sEF{XZ
zfkUh4Xo-UWEYZwWDT=B=`D!U)bdVj)IewZay%q#H1@#EcZ$wZIN&taUPVkW2q3+TY
z273M{Hu(iaaM0H}UbBDS&Y20YhIfm=tuC(yg<v9#yyf4b>gNW^602iyiYW9qaogRq
zBtqNNN8PCv9*98m{d~N|;iUL*{(=?}zMFnZZI<SPSK8#`Gh|6{*V`iK<A~6mVZQy{
zogc>ea_=^oNI|s$zdxo#gvGoz?~5%0;Ph-`c*{*1-i%c>4DJ8p%bGA^qA3I^EYk-E
zGG$=o(UDxv(?rnM;rq(lBn)33NSP`3$b$Uz%0c>ABBbHH-YU8s0E?j$CJN&6&?J1E
zD&oWbJPx1bT_nWdToCRxIY0r1Q)8NrORIrw<7pAb6>%t1URW6IPy|xO{4<MNYVhw+
z`hvqnNoWYam|RG}0q-u^|Gxty5TqJA|Ik|s7OGy!jK<=j#mz&1biW6#8_RuC^_PaI
z=`hypJ_6VzJTJA3P=_mRHr5jnGBD15)S#GG1@y`cJ%a4W&~iP|YdS?1D5u1p#gkPb
zaf{E+{iFs&2OlY^%awzO+?S({f<)+&Fq*XY(1g8EPFF&SJe&}nm<tOd0^@s|2)8UP
zc+()3X<eoO<rB$;BN!3xbE=2yk7z@%Jw0RHLq*t@vm5<8K?Eu3r}45Hy3m*xX?-d}
z3D}O6qD%Yt@M7g*T>o7?@Ot_>@wX8Ue5yu!{_b;NkrgEMh{^!2WY)C)H;n`1tX{Ku
zAi^JNZ{b{5L)Z>$=(+8T2feleKQ((*h%%`eB-SDzll%x@{tOS{4d&CNA!WF&*5hIt
z3gD1*>0riZJV<9o<ux)AVEL-#NFAdQTzpYtT33gM6a9~p*_M^yy@ZvzSELcpk?xQU
z{qgYiWqD+8kphe_$mtkP7{Qm}-uG-<I5=}9SW!q{4my8cmH<Txy!pMS)oX@>>%$@H
zd2giw7A|MjT2X)vHItvZtOV*@9#k18CE>Dt@DT-f3bgd9iS&jk!hA)2kKoz?2rs(0
zD|&_kF~$OYhAs+Fgft$xkR%8{TL^?b6ADCsA0IFx$OD71HuL!yUJwgf6~p)`Kt2&|
zs_;V=N|O#F-v&7$|HiQUojxO&doXg3?yd}IJZWIu%V361SK9113H!QIihcbKO2g#6
zckGIKbZ|jYc-&CK2qvzy)>y7ff=S!PzjLX3$hc|loq+*>(cezF9<~yoN9vtgJhg?e
zPQ`>wTn32MG)=oXCJKa`zPGRBuOQ4-RZmR$09;r)f8L4~0an)gF$VYMks)QJr}EAS
zaC9G}^E@g9<*iNRrNc9by6tVliQ9&tethojIV}N*J~Z(}b$0@BE+xl=bQnO~v##Wn
z|M-BaEJIlJ^C%Ky8|bIVVgQD!W_#}wc;I8L?GAS78^UIFpdLG-4;rVR-(gwdf&+BD
zDmxC}kY{UP@IF}&3bvk1DbjL6#4J8yS#A_brs&;^>(d3COb~~%FB|l2ms_CK<H#9@
zV~et~y1;Vs-9)Vd3xrKH2uRIOBI|Amb49^AP~WPt`%R7sOtyoB`R{#4Hj($av>n<Y
zRFUuEaGn9Mty7hrd9%pkQqOaFoHhui&<_nw(?JoNGtc7M93tZ_60(t?1vKY+glKYT
z;nMZLGEc8BB5Ag);nqu<p!TH2CpUox3JAX9Oplil9`<!i#ZD8<Ry32UpHc%86)v>u
z&MHzo8*J>_rU8xN$BffAs31UC(1-2uI-+V-JUgnZ0p%Q*V!vLb0{P5cZFy`H={V%U
zoLWf+njnwBD{NG7{hC}Eas3a%)&1_X8-Wbj4o~Y#9_}G8-lE^kDLV-AE&kG}QgulE
z9WZyudk>L}<nRbC*+t@n<^1hb)WPxH{mk{td&roCfkweyD)_(-t9~y@@Pkv2qo8>Y
zu{)8KaeaXrJ_H@x&IJ+(Z9n(CDoX`3^-bz}r)fc`YjEr57d7D18rLhnK?P&CM9lqr
z>7dJ(-{#DIjua$y@mf<;1ML@MU&c!eaCUi*BC<_{_6urE=k8O(x1qT2JTgqcTP~QY
zmPLfx%971(a~iOXKB_*w$qXz%PLF=t_igiMW^1>lX~D4UIve#8E7Tt$u4%nig$D!w
zdjIgy!N+@tj>~d#z>iPJXf=l_R6k7rsVz+p;XCG<xdbj)H1_|VcTok<0`Gz{O9t@k
z^Rps*a>MhMd!*`qWf+(?(OAo4gxbzxxloh`;!H<Bqh`u5D>+`bEXWL!9tBs5)%d{G
z%0K#jCjkgW4?ee6vB1}~x${)b{BTcG<nHbn0^H2^VebrL15vN>H=q0k;SIz3i7pxf
zgnroOe(1^pZd0XQ#|{a@I|awn3)Of?_KlGULAXHGO!{NK;Q^3uKT>ft6c43ZUY%Cw
zxZ#EsJ6F4-7$hZP=QU2@p;?W8dANWFE+2oF;Z-OB2Y9Tttq<d2p-WRFZjTp+RGl8$
zvr56>rQ7}3X*^heaGSw``N8#o<t0g5X~>xx9$SvagQlhIi?6JLaQia9^H9AE{Owwk
z9_`uBAHT1$1E>&W{?I)1fg}f)a-w5@A0@z{XYuOk86t2u;)tT>8+k}H@7(*lK!79f
z7zfScMBxo{_>{qEMfjA5#^^RHgQ}eZU)z0gi0~f`xVxhSYIK@Ba-UUz^pg3Y&v{9}
znH^NMDZ#_T%CrnA79zYYo8zrbmVztY^VVfH%FyroZri_u2ytZ1hWI9Fc%@LxI<l(*
zny-_4CSIyRi%0Ht?>!lCO<0`bIYI>fl6FJgW)iUYxinIl?EAP1eQH0A8VHPxgn6u~
zL!a6E`wI#3P_O90=uo)NYk=@~k^eM6SzOHeU55h9z9yWAR3w3?VY0U4drcU*QKrJg
ztOQZmy?f2kB<P->BWa)2hBnE^iCQEa9NefNe|Sa$Z^yvQa{{_>FDkl@fr5v$nDX-i
zc_iRcSbIzu)&q9mnj>YZ`&^j4J2z-e0zOd>wX1~&;N*WH(rSeO=(@@H+fQnca<)<b
zqz3{#EMiF&QOdw8E3E#3N)6bUU+AI<0NU4e+fw_K_xlrTzTl!NTpP*=vM@J-rvf;e
z*g0iLPJ9rw>Z=UXKZWcxwvFJ0Q~QKRgED+H<bK|gjRS9URk7Kd6j)F@{<`#-GPKc_
zZ)hefK$ojTZ|oWc?#)YyN8Ker@dR~xxw9;^vPbjF>Kj8Ly^4O#6FdyOo#{$blL7;S
zy6ypIW2iJ+ZnBNW!P~2rmHB$2pc5@e$vR^U2`q^=a%xI&!jm9786*HylGxF96JsFt
z*;P%{D}Xo7_)~^DH)QQl@<!N=p~G}iw^msm-1M?<HSjTmhe7qq^Ck)`2UaKCPm_f*
z7bw|cq6UsXmi>ft6yQ$sTza=44R>CK*agL}A(?U=o>MzU;6$#t>t!Yd^OX0u-^@%R
z!9*#8z9b`9nTtqSxF7*U+@A*twfV@5z6;J)$OxoH=?>F5iUJ*Tv<P`%03Gn`ILw|0
zF#lA}q%c4jZZzZ$OW&J8cby+}&f@{xdW=JVyb=KRU8gPg-UW2GJK#gpB?M@elrL4`
z_@Hgv_LJa=W%L^7C*GO_L-;nfs>9jE4Of0STDLZ?pcSRnep6)zpm6%-<dzjDR2Sl|
zZJt|2YoJGPrdJ=Z!R0667g%A8;iXn_&?-tf;(dFYULQ{14iG*4oe?e)Gtyu2t)lTe
z+-qV6dN9PqOZ)jX9ZdMx`ntNVpg~C^2gSm4A*HEsME?ghY*4<pFNQ6n|Iqa8N>m5Z
z%&AZJwe2FU(H%050ZZs!xnOo2iw=;kHqGW+|3xN@R!pp_f1_?e@`H!%wZUfQIQ@%@
z8_1;Qxmu3UdGwXv2foLZTEO4NUc$7yf_x}ISN|OSg<fRP)HY(*f>RzcT?Si=$X3Nx
z*A96W{m+N@-S|aK@Q7r%CR_UpiKp<T_ZiKgj=M7y!yXN|*^(L)A-CTf!aVRhm#5M6
zh(PxJ2!d%dmhfWyBqDpjyyE2WBwAUb|M7S!8Nv@{Qfz!i5I6ILp3aLCDBByq>Rd50
zRBTH~W%~9b&m23<H&n;bWbQ8`(;4cJ+oAKVO|Khyoo`HgjWUY1%@qc3v#Y~-?G&A6
z&vpb8*t$Fy`3?0p6jZ<xN#M#Y`YkY~1!0bAZ<rMvMqRdlh4ZqLAai~A<qN$!<gEfb
zR|D-3x|s4eXdqn;BIM-*LkT4aPp<mwbQnY@V@0^vgw<d^r;tbe;dP`>ebnT|#{m=@
zbY?IsB*OXcN{>Sna!`WS73SvL0kq%_F{)ji2o=AI%9qwE(D|t--@dv5)Ygu3q%uJj
z+@{BFFfZ1iHec2sJrEv5`Ndeu&=)FTQD_ryd=f?dubkaH`(_YD?cGAMCY2#!L5f>Y
zp#?QnmDC|U9zvb#LL_(ul|j3H^NUYZE4sYMC)4qMU)R5QJc}g(O7DvnWwd=juk@{!
zG!sWq!4b!H`!qb@KNT79vwlYNiodaWjf|pB4+Gy$f5pL&<6jE{d?)ILGjILlK92U=
zv<BP|$3cX>Dm^ybg_gz`TfK~#K;6v>dk<Vx0xf0Laa>LhI`IK1ANw$gejjeQos21h
zsF}z7g`i$k>^|H256x-xc4odpqmUx-XqOned-bFDj|w=y{_-7_NNt<V2vUF~L0mJ#
z^+D9WWbn}YtRLvDITf?bK6%jm^pM4|c^K^@IOMTr{6sOC$3i{&@{q>)E52536y2+{
zSr=)YLsRTN7V#C!!JPw_C{EtvXnu><Pn_m&G_wMCu#8_09=o}x>3^F*?S8PFP77Q@
zjrj`ll5fg_^q<NlBcCa>;>o)Moh!>|V=~3|`F`G1tMvulRQ!&1(=mQYxwnc2j%;Od
zg~>p#_p|4*Y(LN`=TL*K3+pIy&3?7wuQZg_{7e^<{E1r6AL^*~+e8(9@0`06Ar1Y0
zzH-GLbEvAU^wssUKj`VO-Gm+nX>gWcIL0u)fD#|XZ$!%Opi=)eOGIW!!Q!*AclI_*
z=oPUOQ%$40Xfh${8!9UW&$Wmd%cIMvO^cR*_c9e`S+Mx3<+UV?Hk~BZCa<D%K1TP<
zvuQA4F=ElDQ<9KgGbO?9xsK|@#anm=(qToJCQMHA5->jhqM$iw6FvG*wjm~h0i%*j
zurJq^03=n(9$)tdwW|8yuz)gQ$`&pBchkk8;K;1Byv`1qWOduZ+mIETsS>gc+!BM=
zwHFTKc6QOR;MWx=sW>npN&dk3OJd+mj%t2NM~(dt0096043~Ex)n6FK?LDrQz4tY*
zYp?HfjmRvKq9P5_B!!|xN-8qTXpoSK6rz&bP`1bjDg8=hgk+1Kf6pK9Iqx~|c|Ol`
z=d3}a^?4HAW0L6;X-*2^|IOqZmNC)iuY|Rk8VJ&>4qSYGC`Af0nH3%@S6S#^4@AUs
z2?*0Sr%kge+eu+-w#Cakx7g@fTtNwA((CB<xdO_(>!gsF^}1POkb^Gr&OXk`SB$>=
zBh9~)MGDtHY5ljfkDLA?Lm;K>vjjbZYQIHSTnbGNRS!Or`RE(oeO)fTCQaY{_C8p=
zq@bR9(a|@HL@%v9{<X<Lj=p)?>QPRs6vCXplFr!+(xu4Z(bREyI!}^K=1Pn-Jc>CM
zndF4&w-wG^%q>%-pAwF#pN^IRZ$ZWLWu<lWR0F4jLb=NHPv?vWLwjYBDd|16(@TtA
zATj<uxm=Y_WQ-aGG|R#7jkL#;*An!bnr?4<$JOcLB<kTUqw+}O{Qd5;k2L)(|GqbE
zcA9jXf8S)TY*K{aqc<Hs;&SxQm)1*9R%_GqkF%#{aVz7uXvv2CH{|I?slk70@95Ga
zdZ)VHD64{7vcJE<RFUpY<Fe!)qtF%hs8V)4P>0FfOQVI~N_4NRS7ACjRJwd`(9leg
zCPeuQ_P#Awq2HFhpZ0H;K7HY8K>j`vU2L4!e6}2?Mz79N42(TtK-UWixt1!Xhr<>x
z<K=zHbUu&P_m0~Q=^B0K0%CURgYv{VPD59d&ZnsqKfz!`Cpi}!_xR5c<E3fuE{<x^
z#Uqw{_HHtw8=1ToDatT`;z*6$foL82t@fympUjNt3B{iGKOQs3Nk<uj@*rKh*W>yn
zk;jH~ZhP0#+HC})HXQxAc}16Q9A|gV@PPr{*u(EcoG1;UXBx(Hc2elnvqSgh$olli
zmj}=A23lb{z*9B;5`}JUNL^Ae(W8sI@w|PSYK=|doY|^T6uN#@_2cd?9lCyrhu+7F
zHjrXmyn4u#LKk9f?%=H^)9V_u@5d6haAqF0j(o05x7iiybJAa#9(*(@O`y~kGyb#j
zsqDJ+Qx^K1hu7ZcpTMqG!>_hT+vvKY<ETwPfAFAk|JvMYZd7=j+iHu<=&+SL=9=^@
z)3z6UeVp|3+dES7F4@BNu6nNIoH{+Y$@3H<rfd2Vs|Dg@Y|)u<F6~HyDm`Mf=jnHj
zuS9;B>i(q^8}xkq^T9?$neOM#nBBMfkC0;aENGgwMv(UYv&`8Fbm!uMrna~2h|2oK
zA-mBU<>q~CG+jCRY=!o-q@#Qge=yV~TwsMQ<Ii2Bt0d`Nc4n6^7Yd+eTItwF1}l8w
zE*@9iBubAD=bS3`7DA_r`(%wT4f&lL2cGB&(c@_`?i<2{v2B7n-dP7kdHt$>@s5u!
z_C(>jguDp2))ziuG6nK%B-gt%u+y=9my%M52!yYWPW=ub@H^F#|MX!-x-xO^Ty(q$
zj>$De_Z+drA4{4vv-ez0Q4LRZMVJWWcAfUUf58H7j^)Zn7k|}|?33KoT}3eTdiV%u
zi8;m=Jh*0pnrnQ$QqR4XSgT{ybusRT8N61%w%F&l6R`*B@6QejBliPOV3Ud&!gjxE
zpRgS!4!khw=6EU$`DfjmGeS%e_Zd}vU4ID8dp})7(u84Xw>$fDlL<H_8jFhh=ZV}~
z_V<Tkgb^a-zo|sq1WlzCJHENB5FOlKZ(lzzjLql0H+y6l!=|K6&i6JW#M>qx?z|<8
z9*1Y=OnHnE_fUN={|{y~UK12}*D4GZsbr;z^G2XqR?m``S+Pg_t$DxLTEC@DEJ~b4
z`0{7v<BchHC_ePR>v>89DlZ?f6eJts-|!E|v?fk8Z2cHnI41%crzE?tq9KeL+PdRX
zxxrXi^>AInI&Ab)ig0;ufJfncK{gwCu|H)8SEHpU^81pbE_fMWR@6n|FDpOdyF+gE
zaEd{kW$B_mqXD+O)gQgKgM@VZhCAyg#BfTNGa<P|9|odV9AiucaO9qEJo|(=YO@Ry
zr}pZ@OJi~ai<BTXGCYf5;FN?pQFFXZNgv87`yZ>a2;tZkrb8>{QdrHb7uz&OMYLEr
z$LqgBNQ%<$ei$zeVg3ovjn!1-J?}CMnh-{rRlHHclnfXhmgHQnQ}O8Kr{~!-BIr8K
zBoSmRhrxyuMhlTt4A}Rpgm8#rW{a<R3$r}38~85^9-(3#V|UG{ni$F=Iqoa<$|HHG
zWB9;9D*WOKjGuan<Kn%kf|Jh_a3+`Y;ou1>IAj+#S*1y!GMqI!?v5h5n5OIxBvK*7
zP;;>0n<UN=O$ql>lpsgGC-=L83PZ!2VtMA$FuZD3-4v&cxEY(!oxiE5Vom;V>8=d=
zR=u+KMycR)W*u{`p*~KX(a6o_mBXowI1ZmsRXqD~{qu#Z`cU}9zh`xg16iIo)(Hfv
z!Q`S@RMoOR^6QiKH73hL{Yag;xw|?(-wBv1JY@iboS^1-F9k^U>4@@B$QTVcsvN;<
z2xhNGzYi-aLZZuQkJ1tub-F@<v!#X@&NN$c8dXGpyGG};2O4l!^&0UFFv5ISlG4o*
zB^X*okJk{I@O<qr5Tav@*}MJ+&mB?*PiUl*Sg|JFe_>OxVKqVW27Aj+c@-#3ryBp9
z(nM%x@(Ojx1W6R5=j3`7gx`3f`HfWzU$$7xOtzWAt#3hZ*+&(2d9jHVgPJ)1j$P%{
zD>LN1oye{JPZec<BNz@QXu^g!V6%CtIsW2{C98`XGKNJrRIO;>MznL3cD4nE^4KNH
zZ>quDborKxkp?==V*&*tEwOL6guF_-8lwHOwU$lEICr?Q^}Y*%XX4gBHvUvYJ`*q7
zV?K45lK-Z2vH@3k2Yn}d)UfRPp5$Joipd0(i14kz{mnnMvL39hn@RHTwpKy$VZAql
z*+Av9zuF&ms^OL47Ln)*B}6)_){)wQ{IVjQnJHDYFPaJrN-4sMJtNd<4j6RSceM*p
zg(r)bVP%v&TtZ|;BY0>q`Mjh2<y#eO=x*CA-z|$~4xwHyK^mA^(sm4UsUXLBKhLj5
zDMa46B-6t|!@<Irc~zFmup({x!v0$vw$+}-ihqDwd7kUL_9#KGI8!9iUKDrYiWK&?
z0;Qra>m;KT!CKAKzy7;0*cjcNEpvgR+oEgO(-rX4n5&`vwIJ}IMQ-cCwZ1-nwPY`n
z$AN6~YSv#QaF?hrY}5e~wJl@wYUB{jtoos#hz~59egj*32(%n7DP$~@Mc|);u)AD5
zICWK=E7_5N=GMmvX>-z0R=s;Wc!U$ldqfP&pIV}br+@i`ixfP>otlclfye)L{?{gJ
ziQ7e6pX<Gl0G~$U&;k=XDyOb1<;GfI`@Iv~r>(_Nx1;3rO%*l_4*ZBq8Zn23F<Xek
zPf=XVU^7^k!-}iR3zqL(&7r%HEYW{=9bT!f8w(6z#m}2$LZiYAGea#ehoVK`exsK$
z{1_{|rOqEYDPsoX-sSF`NMQu^r3{NcV@2ENpDODwnnG;nRMkM55He+rk7ygP;c_L*
zW5ziXxZUAr)NT|+xSQ<#r(f7G{Oi#ZjsO#Agj==tt?8T2Qc&ZI(zWx~+U~sj*%$^-
zUff(4F97A$x}A1K9Qe5_KTE{J7+EUrS$_otaN=QTr%Np-WcgNY6Wff?$a5k&`Uwdq
z&42B<!@!MW#kJS1-HhOqU~;qN5DApGBe~sPJm{!@$LQB>hzeGv7n1}DMejsH$sc(!
z=<60LvC9xD?(|pzbrKejKqzQGKU&|}huoSlfVbEH?T8u)2Q2($7!ye_U}-N`jWNKk
z)THQL79`wH(A94X6F@@eg|-Pv16*HCI_>RGg2XrB9hJd?(DWCpFngwt_qPRH#_y6)
zT080-7%2oF`BlZOYrc*ynLvI!Pr|=xrke5$VH_;(P|fDhhn!<|-8~-xNV9Rvo~jeU
z!_rq-fmKwjSF`Pn?iIiuiP`tLT%ripx?V~RqQdpXspn4n1+mUR!Ao$L7#ij)qfh8k
zaoe`RPJ%}WTaNR7y4@s>$;X2?UeD=a=}bi}{~ICnS^5ccx=5m)PbRkNy&kN;8n*99
z5QfdaZ7V&4QYi3oWh3S2;rN^^+3c_gzSjTVvL{srJU^~&OgyKDW{o>){eJ5(+T&W%
zt|^CSf&XQT9MgmSQf1@egQB?MeVg~1ggkl`&QQ}2>0$kYd2Y5#V%T0Pdy-j50ofJm
z7sZb2fxOvf%e9x{sM^5RWGAAC6m3E2ig-PYaW^ghWRpbBX@#d+a!N=|Wqy=iq6c5E
z*XP1^OJR85mjYHjWv~p#Zy))ww(rM^wo@OaasB6$iDY{fY?Tn>`KCcd;Z7H?N)K6>
zD7$Z)_f<v9lhs!@W2p$KF7h`Ek%Lh5<(K)PY6uoLrfE)7!QJdIUuGkZkF#QJu5s#c
zU<)bReOw=o`*M03B@|%xSa|5`6*7K(y<^qGV}PRnzH8?GRe+%|O)END1DR&Ke$-SM
zAX31xeX>;%XX&eqPkc0SQEGT!<0(T}9eTf;sYnTmr@oo(k<o(f3XhAx+T5CWZ<Kj*
zMj5QvtYQtHYN2i7KaEjSV;H?!@(OiU!D4B~rFsQz@MMJk?x&hy*Wfe7Kz>z-oaFLR
z@X|&>`t{xMCZ@RNPA2Vrr3#@tH#wC&wQ=e0=eYZJW~lk9Fe2}xhCeH@djv(avEc>t
zpvpFLymo21w)ck`?g}r-3MFabQ)J=~N`M9a6uQOgIjci%!ma8?gC=e>eVDv_*b?uX
z5xAPB4&B$BjrDIdAm_XCwQVnf_CR5t-_O-SQM_~S;8`-Viah@eDFTP5^IMl+sDsZd
zopYH>9peYa7*AXP8q!khwXUlpUm}`B4OGQqYD2O`AJ9=TUvhJ8-|GE$0-}nPaXxu^
zd#p4KTDv>0CVWwYbWB*4(<enJP2M|h=S+iFCa?WQXEn^f)HTv!Pyqki1F6P=Gzc0O
zuaIx3BFK+*y_&Wh7N_-HYeHxcc~~c;*{*`ZSCh<>JyK|lv^ds(hz7&*B<G1qWsFDr
ztI;lrBiO?vfZvk_dzSEizZE6i{J<S$e0m+Y>%SdU(W4=;J~-|2sv?4!ntQIi5JGTA
z(q#ok8fv?~HM=h;KqfgeXV_5y^{0l0`QHKMnLo9>CgpKquR!O`?R;ojIT$|@4Mg5}
zFY;kn4g;N|L`*Fg7`M}cE}8)EMvBxvG|6I4%s2RbBRd|6S0pQR6R0?GHS*FYX(Z&&
zQ9bsu;=IAH`+fQZ(od`xoLi7YYU#(<ld;Umd+45+lVFMBlHM|D0|}hEjK4N=Ot`*X
zoO%CG3$O&dU1GW-2FCy5CZ4G<BF8+u?zM#l(zJuORWpksz}PEW`Z5Dfj&pq;PBVv)
z|Fm;zrU;sc)b{e)Fu+{p>gA>hGwhdqWhCb&3~!(Ho{rWGC?8%?RB|%Iru@AA{bV8d
zR<=fdKf{3h9A@v(`=&T$O5MhxD2RvBJd&1E43PFOrjYqeF)n*D+T2V4ZuaU|Wv(*f
zeTXps`4AH*bCG;FgGsoRf4L}a3lm;2o-}^-#TexABd?P$^Fw22@bD<Xj0+FO8d;o;
zp~SB^9d(EgY%KZ)7wlQk^wl6VsKy9>)MA@0=Xl|9+Tl^lAyz1wY*bY=G{Oe|7VESY
z9+(GwcjhZ*gZ0n4U(_|fcd}dTM*jvL^xxHu@#f%w>fNK%m%4^<iR!Xmn&yUsX>rA=
z2u@_S`&51@Gr*qX-`b}dxFIVU+1kX#jo5{zg>nl6j6KV)WNGHc)AX!)oiZLYW)cPa
z8}$*Zkp1YzJU7<UDnn<(`7qU(I-<PB1<Mxp<q;<y1n~!{4r`N;n5<bUGfTx(TvSC-
z9S?Rg(&WDA3Sjf8tqe&iRG4;2B>5iT#g)-b+m@{b;c@<&&s#$(Y(fIms`UAwcJ$JL
zllz5m+gQk#XFv~qMUO@DmH1Ka{_x4|TwyHo4cay&>OsTU>iYv}5-vK(t)owhfIB;*
z<M4VtY`&nwk@JFt?&3X_Y96AnRqiy8V9|qASiqyGBLXNp|5s18O$>Yu7nI@}D0m>m
zL4IN=2v<3&($>8aXj|P}ZIMAiO5K;oj|7E~XneunQdkONTQoX-f+)}%IIOwMER4W2
zuWR)CrBR_qe$%j-g3Z!gM<lsL;K6<|iTp|yr9EA&CukIKKff?@MQt7Ke{|k0GO(uK
z;n|+Y%_#Vtu#)_0yC^8FR}S`!$zxxX)5yFP1^nACe`P5YL-hBnyVtWRqBx__&uJS4
z*@k^wp<EKET}Ue3q@e`qQ69mLGZd6*@wfbqk;L{v+T#E(Wqd#Ir<J{u0{IkoS0-U;
zIFh}{Tar}3J?HT(kXa8IKlA^VR>`1_q4R}GvnuY|9VMOFt%oZvFR5=$<PiF`OOkI*
z_vC8sZ7J{3!_Kfy!xC9}2=!%LbhRc!>|g@N7Jn*Ude;uf@hU)W#??^km<E<9f4ukd
z>cfMUwo`*a5$qgVT;G#5;lk+4f3`^<jehRWcFrndx$=_3<4i4tU7TO4%rk)cqsX3@
zV@han5@%wG)<$ajlFptqLwJ@Q=c@Utj8w0zh5|wdtC5utX0nYiu}2}+wowH^B7BO}
z1|3M~ecRPpxyGFlPp7IPRXmW9qS1JCF>qQn(0b4WCOldfrNY&Kb0Z#_0=h5~uRr4?
zZ3f4O3WfR<b;!K&do1`(2Y$uTx4XQ|QP|L+NN-k$u><2K-!+5$fq&zX#&iq3o6X>_
z+(3ri>3)xq!`cuWj(_i0Z;7#Ec^(<J$xz;9e5u(|3*S^qZ7+=w=-e@yRMJAmjf)x2
z+G;gmQQi}(9}eVspIP13Mn=agM{!49GG551?EgIm{EEDI+NywzgC}|HZp*8I?%;Pg
zdW{!@dEIx;Y$T)0<iJFvfC`+B^=@jrPD7|d3-gT@byz-qmD4(=2*=Gqrye%b;NUDs
zj#E;{!xOh!Z@rO6r?sQ__fZ<&KPNft*`kJr?t}Rp4zh?Wle(++mxdSN4Wk?OtKwa3
zo@bD`B#z$mja?d|!TEbW=c1nqURuS3FB}uav66QVN9t(^326Cwd4n>Z72I5nW)Oz0
zKd0VYCJjZ;&TdyyRD%5{e>IGekR4qsOYxzh+*Y)%U`7GD+UZ-3!gwIo@#F4Ov9&rY
zIybJolgEz<nV``Dc69TR{a5M%-f*S8Wtnm~6fC++nui6-i=J~P$ALB`W8U;J88lv*
z=35$P03OvOxk&+BH?uBXsggqLuSGuJ-^+xrzxwl<vjjAR%r)wBBtY>a-TR}tKs+k>
z_-jj@CHyk)&hNb^hLAEcsrT3{VH9<^`UsyTHl=Q;vi`UZGN*Tz4&M4pP|dDQrg&Ij
zm@*loAuj^ALiy7}iPJ>5=85p1H_h=-sw;dUMF^ud`uozAr-?^ne{+pS&0s!mRQOIq
z5HWZ6yx>_sO-!3S@DMdK!y%_9^Q2)CdR%fU7JH_Noc?nIKN3t4?4N$WCXpY5f{EvI
zoBtB7JmuV<f0|(7)yA0m6kgoxu=-j;nk6P(!mr9&n?T*AMNX%Odu^^HCg;=U2<k0w
zi&uAy;TaQ{oV}e3<4gR0)XfXTQTIT_Iu2vR9$NPyM}iYeCXc7`uta3d(lrf&jbNEH
zRo>3e0nPT`107rc5pgYDC)frI*L3l`%YZREqPo=zXxCSX{5>l*CT@nP)m*pfK{6Y@
z5MPfatT2F5bBo+kXMh^(Pi3AGYdLCOcKZcuCPc<CUaqxX%N+wRG@YAS5o)u^HY$r5
zMnN1w%5U_Ma<<jc{@z+nV`QlhWoN}b(b9#v_4<&m`@6L50V|GWMhSe6Tg!u|H{?0B
zQc-He+B4F@3Kb`l`#0n{AifkXX|kP)KzjPfb9pv+A2`GQ`6DN;<i8T>9oK_@`fJ&r
zNo;UG;j1T?%Z=}C-#59h`G1pUO7ABncAP2G)6-4l#n!;Is!mxw{Mz%D?%B(ZhK=44
zyf^ugNSHlNr&HjkB(xIxm;>$<wIj1@?{;bHiQK+@6x>k0vXuRh6YM!6BBG*#m^XEP
zJS#|nBtvF;ND~+A{{B6x?kxnVGmjcJ)aqhRJFMytKMxN0IiFpq5Qg|@dbj;)U5p){
z({u{w#ik2#VV;`nu#leZ9AT*ow;?&dNlt!Ts~CUCS1pR8^JgYw*mUvpPT)9w7YVyP
zjt=z%isOLCOdhpZ2OKJlK0h}LK<@)T+1*GIy|0WH$bLF_!=DthW4j<`*ED5NQ5vtk
z+#J4;b>JTT{)0k<5O{sJ&lFN*5mqdp63e9nZ?+$;x@E$68>-Dv_(%>%U)}Dx%dCS4
z=LFXf)^!L|ud9vdkw?${=Y)v34kk{9<X0aR#fKfkx=ccfm|l0Tc-eWa{=%cM;#n~;
zRL(~o*scVH*L}^McXg1QQyYBenglpUI>@eN%6MOPrimh`3w1V+$c)WW*!h#K`K*{K
z7RL8KZ`-$aKPw}`d}J9o{?;iNk5xmY%WI9^c3sf+J>N0TBL_LJF9!nV)uEG;c7E$t
z3Y?Es&&QJF@g&nBHa<`T(T>W|77G+eQ|=w`l2O2)9kVAdcWQ$9pY0)&r+TQ#5_;#W
zuZSxNIg7d!ZS?8hx|gu#Pqw_tY#MY`g7NX8|K1$af$^o=@x2N9coA=xa`KQeYQ|@T
zr8eloSiH)!tIz;?!Qq+1aVn@&R*W#B>*A9g{}$o3e{|(Sny&7epZ^rn5%o!of*(3v
zyK5-M_)OWSo0g{rwoNtHN}MR@aqc|1FT(_jSK=3{*Ybts`&RQY4+{EbZdZOKnPFA$
zLGVy888g%6+HZ9z(8SkWu2;?1@@00Hwx$N$EV55Bb?bt`)24LCnvOB~(U~TyH89@g
zICjZF7l*1Ey>p@ngbD87prN3NUn~^|VnuauS9t?X<}k1;v0r>;vnCRUBl!F+v`~Mz
zrplF@hRho(q*Yf<RP5VkJujpIuaZSetrQxl-{lokgf&6-kNeg1Ky8f|Di0?at&ouR
z!BsL>0~!o%_oJm$5H}k)NAj>jjsLR4;vyL#TR$F@2v>yj;RK%pm#px4!Ro;gMKW6M
zi4PlnlEcug-~pSvR>-$i_jZ<7hwrgVK>}G)h~+<AuAFBDJF{8mq$O1_+StpHK8hk=
zZA;R%cq<(Fl1!hhQo%RrexZmUA!G-;Sbp@jLfOXP2){kbs4Vu&U*+Y;#I`G12PCa9
zX4e1x36m1OAAEWt+L!~YmEOBonrOH=<iJA7R>1GQ$K;y#GGWsu75k-QG^F~aFYh*z
zhs+25y+0(E2#E;hYsZCXs5n*k=F<~d1W_ESGilRAxlhv^Uoqe{Y$w)3l7`BY<jc{D
zBgD#`=ROm*fL+L5R>3P0u$nI(GJiTiv^~Axkz7UKk87sXsFoOdHSU+bd;F0Y=pKxz
zAF_m{?HHTroCv6KCj5do-V)4?5k9_RmRR-5eAO@_1d3~x;IQIjVoFT^#VscbC_L20
z0;eEGg06lkdXPoL&zvH5#G1qG?q~p5K&QWJf;$QIB70jTIMawcg$sS6Z_Lohuu08r
zjW6l#szKS_`NZQhq)L7^Gq|a@?nr6ng0}em*B(qyiAC{tpKUItFx8hbVfEqw8<X*s
zjFLBm<o5ZCV_7Ch_TZT|(q_YLpQe(xDb0kdz#*}c-^Td$Vb{xjb}Z1CIjEMuvx6u!
z2wjX=Z;a?K`)(H9X2RmcNv)N@USh0T^_JEhBSeI)Tvsq)#2L?E-&p?v;^_6OSFf=c
z!L$5ro*)AQ7$|0e#?QVJ>vyVDCI=eg)8U^7XBPeuLN^Cw_NxpL_G-#c7CH=&W_$UJ
zi|aD+@=)$=v%(QV{<!1$qBS15n|-(+Hor*Z6=^4>TK*<}F-eV`uh7SjgZov(e=iV5
zF|;0+nMuMtIVvDTOCQwvfKB2W3&i?=SNI-v{~;df|0T8;Qjt}*P&-^WPv|`f{8w4`
zmoT6DyiY@wiWnNt8?)W>#4>kZvsdFR;Z!tyqWzv8_WmjTr?O?9Xy9TT5c)n(%(Nst
zvDMW>?x)4}@YC~z<u9G{{X$Db$A68Ak<Tb_n|giqY0o@iF>K;1>-Ue44&6~3VoyQc
zuA)HFz6D}|zc#d>eU)IT|Mpq4R~M~|Q<uFI776||6Sd82_vfa}wy)@jF3wSo<Z$yX
z5q9;NqTSb+z@|wpnB&mJ=j<>>s`@gaY~mHtE5rf{OI*(eCmqnb%c?>`{t^1~zu#S2
z<1jV^eoIc!MxHM<h;?d(@EPDPaNWy}nSg{}96efyBWGo7-pBx7%gsmL&^V#gabEME
zh8FC!>dt+%Vno~4W9>Dz-1r{=0RR6CmuEcHeHg~=z4zXn<LqItbE6U}MLSfal+4JA
zii$|eqq37o5!#aR|3yVaWM!5}60&D_yuV*v_vael+`@;o9Wf->+3@(D_bv{2cj&~x
z!60Ga3^))eGfspH`a`lU5u7lli2pazCJGSJNI2w71b5z%$jOgfaQ^2J&PY9R;L(|#
zIo?44zrz^>b|W6hnRDi+rAvTv`}U*S&IBk@ekB}M&kI`1vnB%SQowlMa_rfJE-W6u
z)h>RCA7svJuxHmv!|cxyU$;bED9yL2D?cF!;VnfjiOI6S_~~=6fu#$?+&>LDA;NG>
ztSItKj6ASOJr!<d*99M^3+?J}M8W4y&4-rzilF$URq#<K9wa7nJ$hxuVMLvd*8eC&
znad8xnHoHZP}uiI`bYo|CM(HCSA(MO&qK>U;(=Rw`#bbQ5*oRs0t=$m;naIRy|^(v
zZ09*?=XzEeR9u!uj!tNRgU*tgFHIK|JcG3+2(oaeG3hn8zZRg&VVQhsx^UE67gx_N
z5599@>@@;9V6U%la)m;G-u57m@f8IyPss4=EyIDxgGYHeGX(HDZMCmnUK#G+^3e7S
z*9FD8+149>iLjQ_79)E|6~a@!$GGf?VALz4)QKlU;q4Wi?Kd^RWgYu-Rf7z+VUl7J
z4=50|KarzXO#@czs*7GNQGlD<gz(9L2Cg~+6{dcgVCY<(H}6IR8KKL!&soudU;c};
zZ@m_TZL5gjFsDOtS<yRu2m@kn{F?V5>OlO^L1isY2JCM(n=b##1hK=uCG80~Sc;5m
zKKPgcm1T98qTTi3Mc=0F_&<2yRaN}dNMVA?nbJ!|(uN?%UhpKslmNGjHwEvyzyzKh
z1<lRBjo{Cw>*U5DB3#zo#e=`Y1n0uf)werMAosC(A^8Rg!Xt75=1(!9P-n+PPOBLl
zOs<>RdVvgnGeTpXa|}Q<IkWc97QhIv^ItTjfIxA3!AX4v2&6sx_s<2uuUx^1{S5`?
zF7&?6Akv|-8Gkv@+7cS>p4RG}ra*gKpd+J-3XAuX8dgQEV7$a0^BthTH|++T%&QGQ
z<Oe%DR#?G7A+71GXbPOw2-Qn>)`g%svF9^Z*0ANv>%#xK$<WpQJyO0+8&o-r{hnr9
zL$D&9r*xDA)pZLMG|+&KI>a1kvj*IQcJY1XL^u~FB-D0E8OZb#oG@SwlSd8<@$V&o
z%He8@mI)c~WhNHJezXR`lGKoa_jvfU>^`A7Dh8otFN3?1tig!OyzH(F4gzOyuL<FJ
zp=d_&9ly0T%;w(TGvcHTI(Bh$nm<=qQu7DD3VpYNCzn&Pd$F3Jzk{ehJ~F~O_I+64
ztgjVF9I;c5tWpQKSy*;kB?^1rlw*yXw}g<2;g=^?RDrxjPh7xq2>Y}J9l?cIf}qXY
zIFzac1FMHbbw5pEb;`GC>5BmWT(^12y2%6OTS}%#*aC+2c$Bq;0?<9Tn#LcJf!dWg
z+Tn;5>^fdC?)x$e{3I9hv*IM7J27gePiqaUQO=GU=VQSFCq*`6N(}OYuTW)QuVa%|
zO5N)!7I3|$8o#723`cO9HESkp$S}Kh>7KbcnEbPnN&d_SkA!|a-)zT*>Rrz696M$P
zXb0}d<S#Bb!13flj2as<8^<RWC7Z%p<e^M=4|WiF7NXUYy^b~49czsJWCDRA_#G#r
z{;^)H9n>IxS;Oo~{KN%?OhD|kc^~`8JWI1@^Q7$fD#nO$o+@)R22Z(gErYQsmPePK
z=T)v%tYFn)QYqUA(8pD2{`FB7HRFt*EbbpRyClF}Gh+y|g?i>kwFg;}!K*`UhgYza
z4>bXsw;O^ajd)tc`76sWFoBb!bQ#n3i0$6`*Z}I<@1BpIt!43qpA3D#SjL$6RceHo
z0ifgg&)TJ~vkrdki<RnJ!X7;G70e9P2W#&4_J)IRvD?8PPwvZK!mKZiJwE+Q4`hOF
z3t(L>m?hC<dt%-awuamK>-7OWSoV&pbeZbHep^2bFmGMLGCQ|O?`>wn5%+=J+e^M<
zj1;MRQS@c3peCE7YR`ln7GectjUg;X<0sDX?J_p^nQLkGBLk-1D-Lcs`U@+m>e-zh
zy@C<B7}1s67_iwZkIOWC6gzVBiKJKPKTPZw%5`t01NRl>q4N>rnE27(Oy1m8Oei?K
zw!?)EEX`wXn@lFLJ8ViBT-@te{F#&{fiW7~|L}8U;pG%Ii+#jM4s2*|qZfWLf(DPW
zZyt9roWc4Z&@Bv%*%5DV7jK3n4HgW%EW>MNF~`}}A~7otB;(i+KXrf#uBPM8VTb22
zn_GK01H3rV*`K{#q+|*RvQx}SVvAUolO+FvQZAHAl^fvcAVb=lAUn72C9H|_+AVQB
z57PhDNh(w&gLIQDZL)d=`;#qXWQ2H;(gAJKUVjqo7yh=ZylEBN+0yS+8O4u!rzghu
zH4s7fabEs0b~beLhVP|c0fNZ2fbX;{g$M?}F22=au%n)g7QQ{n!pL}v9ww7U0DP}Y
z$-#3R$o%{5mX%Raq#3xwe_oUT=i@(=cKzT)L)!wH|1%dy1-FBqM%>T^lJaAhTu*M)
z-}bEhO|AsGQ^h5lrKAgESs&Pk#dwj;7w7vPWGQrvSsQuoB_8IKqO=$K`H;><{jJ*F
z(&)>(^8umGcu>Sge0S*(K!={%D`XYPqG&H2F;huA+|D$dZCDmU35nM-Lkr~5x^5fo
zbq@}<+|)0Z-zka;@#N86t%_(t;a=sY*Er}+G(D#>E{0^<*zVjSsGw~fcm8D+;=u9j
z4Xw-_5-5;yhl74V4b@x{J-NDZ|K{1Hj+iD%6zp8riGQVz4DaV1R2ss;u@C{x1|Mnk
z_}`xKOp+$Db6nnLN5{kP&;EE4T^0r7wgvcCXd(L_l5GBYc=$DSUY#l{j|O^d9cz#2
zpgPWhez`5W5S}2%J*lpUHbv1d)M?^TNXa)vcX<Mo*$ag(?NUa%sWiQV^SbC{nN0nh
zHWB7u^0*7;tD?2zockI&iKu5Zez`S(1U#BLd&fl8(GA@Xap7;t=(SVOM+IIARQ=wv
z(Ce&$(rDz1Q3X`=La3x5{Wld-+>T(x*P5uU``*5%H8f;cC3#dwj1H;oX%F*Nw9&1{
zUITw}=_vigh{gMT4A}8_%<yl#4k|Lb=I!OjK&`)9!)|?If?-Nm>$YVaYTW%L%3Fzv
z5-um~d*!VUeIXZ9a@=%L<DyH$wk#%EX=bngV`vC{{s~6D6$Dgg7`0X54->h>%4aER
z8^fMS2f_JOBHHD!NDW<NqAj&vE7L?%$T>lqOHv}Eem`r@7nMxZ@m0aGon;Ougia+|
z2vZObUA+3Q9usXoqI+6z7YlIA@Hp0c3R-zq8tUN8K)x#Vi;R4LSC;Sn{+Upb;cwf$
zjRth|UbT5XG|3VUoXIQcI8H_Qb(t`wR4RJ6Hhum6Q7b6cW;dR+rXp!qvuWWyBxJ=Y
z@?Kxq8fILM9xQLBpa&L$>s{4&Br+r2-juk}rymJnCZZHnE&I@g%BPK<P5u~tIBX3;
zRfM7+Tx2wA5$tYYuZ~0m*~8w7ZvyYrE_&K;h$yGx@$N1cMKn~QWRWeo3CK%(xnCF)
zP;64sa(uQFIv{X!=JTXAtWRFx%TC0j3zbb0t>VJy>2;40-4bh96cafSP^W|TFFYZX
z9pykHMZ!7qd#u5{?#FGHNiDQrd1+@~{4}=Pp}urs#0riFPWhxtXrg}uk~dVd8?d?3
zwf^gVR)9<1_IcV!9m!5E%|sm^V7Y1VNw-W|!m}sk1f@<DWbgY<-<~neV$(mH^4i-H
z)O+1d6dYAVnLm8hr4KK$G)f-cvKs|R_|?e}QItcZV~@8<C9kp8+Vv_*JON_O(&fte
zr4ezu?D1zQc6fHjnDL~I1qV(=T{};gK<OMfuMQ&)@bT0(-1OZ7PP*(Z9KngA_yFeo
zn{E#1^v#@Hn>7ca{t@?%qXKAnd~+2`ffLRcnaL6)%|XVp$FWeD2MwRezH2YR2_C)F
zEssph;FamE{h-5vU~9X9UKa;Udg_I#dznI8pLy`Q?J8Cwr2B||kpuW%p6`;*HG$43
zzm^8B1x%5hmpmlL0c4f&{FNbNSdSeL`f_>-8;}YY>Mdl4ixRI7*^rGP?Bo&~esBcy
zYa9_!v}T8UozW?Q=Zs*>Qkl(G?(bM?(fb2&KiS|YZud2TFNPqY*Ce;jYQ|K17KGhX
z*x<6#zV1x2AymArFMVfw57T7jmd74u19?W-T=R7U$mG6%^7*fKtV=2$Upvg%K)KBA
zhSQurP<LLqbic8kMf{S+?WWHL*?QH914r~>@zP4JtKfImjkbdHVjDKtnewyMvPBOR
zvU=<0tA<#`{UY6cL2S?==FPr&iyquPlU%7K`<u015-QP(*Z?nh)axC_ghoeF*Gt?u
z%PewQz)_bS4rMix?wK>eMU+tEb8(VIEWiCs_6a*&lTHh*!8Uey@XwB7=V?~BN4Cbq
z9uDA5lhjq%!hlmn*F+DHXIW=NeQPQdIpH8XUszf*9s2c`in5mHSaS!{w%y|30z0KW
zqHvfFg3)?)CJhU$BGq=oDnV}G=KG^5JWYd?(T0<;c}uJZ4`S8IH@Gb<m2Y0)Dh<Y6
z{kT&SS6IJm>E2H9ypUvCc*;(T2I@AAE7pmttPnoM=sVo}5W9)d`7wqHk42Hdrh;`=
zZK3_cp+^ER9ruTK<ue7Oc<@Mdh7IzyLQ;Q)2?6uln~Rs!Dd2WZgV$G!19-$Ymt}^F
zfTzQHS<g8#XrJSa|Kr68mHN}$3igSCpF7+6|9+6bKz@71`A=NHnZ&4Qy(SJP_qG%t
zaUwyTo#d3REf0jZOYxb1lK|Cy<8M@(iSV|AV#x867l!%*mlk$PL4V*)!JY#|Ft2VR
zo89LJ`DWS!>X0<#tF<|PnIeE^tNJKDMi9KOTD7XA%YtN6!`G-(0x098KItb5L#d;&
zKSzi>_z?uFo;VUf>%mymNTVpYuT@F&MkqqbFuRJsDgpjpaxD0xC=M^(j?2;>D}#*D
z;a)us0@MykIyIe=00Y*s{pp-)z%zZJymfVh6JtWG-P$GLf?(035*u|mX%HiSN16b9
zLn=oPxJbi|QJ189IU11Cdt$%!b^-)7FZ8guWT9^DYW-#@El9Z97NPQp09~&vxI7x<
z;9rk}?B{fC@JH8Ir^rOuW{<y6`CI`&_j+NvAr4488h>yN5P>AA@vX8_2||7BmzIX`
zkas%%sX!eG>;-~KNxxN~AcDU1^DY6t`uh5F{3b(XZ{kc)ni^cKB_+RgBSFm9sTejp
zD)3PD6gYoY2jxx)3t=4!1pni1^a-IsqW8L6ptvU7_eoj9f2YEnb7{1jKONZn>ZOHU
zwV*(?kL^}94SqI$&Hj9o0d}tkL_?oyL(4fq|5MR)c=N4xsj!;~BX4uFCU|i0h03er
zNnpUqS}xUSdwrP9DB=j(kB5k31h1rG29WQuZ|3}A03U)Bx(Bm#p~)t7DS?Lx*P}zD
zZ=@PQs^Gzve=P*~7qrvTT9*lSYM1$@PnkenLC32HBSiR5;VR>)2oq}A=Dq3L%%I|M
z+vy!$B>1l1D)j9M0}4b;=HAgP;Pk&+4&G^GSWHS^XcA(;x1AE@8+HOsuQ`mYNrCbD
zfl?byI<&K=oH8B)m@de8qjH)8j0VDk#Azz*yt{s0rPvZ&zbF)c_oYC*`LXatDjAMo
zeS{~6tYFd4EZ`ZD0^x#tryS)7z(1RB<n+r5;yBdkwRg!NzhoJOtJi^}yI1~m-);>D
zpI<24^O*z=7n^xCj%$M4x4VVsu31BOUa^1+BEpY@R|a^5)Zo3(X#3ebYiJPnJd6+D
z;LY!+Czng)A=YErK_%T9NcJY@a`|;(h%J&peJcq~uLiqb`C9|m-yYw4XK|2QJRGmx
zDFn|A2m6mxtRejMQjuJvHmE2tt{Fvhf{v7pR$hk{IP;9p$IEI#V((|%Zk+|zh%KR{
za)USZ5(j;+9@c<CK4MPz+8}Fi)!!g=%@U4EUi3Xsqy{@ZQq`}x-p3?lZaM$HVhJxe
z-*7z?RROiJzRfb92QZ(dLD(Z?2@_=*oh2g*F!9!DiTB6^mgtk@Z*dbq+iTyz%W+v~
zsud|+K{Hs5<hS!dvH(st(i$>a(ok-2sY&wZJmz^*ip?8XkaMjefBL!v7)wj1WDYE1
z)2_>wiTf>pVBUJ~22~8Cx9ssMon68xRa9wGh&fE@PAQ)h6aw$P`Bx%$FJtkhF&&wA
z&7j*&9Y3kc2cvRkPuQr-SWQn)-LEE7uo*UJAf<4@(=b8dhXqU6sXaelv~!z+=RV)A
zLq6<4pj>%4HoS;+LamMDCKKrSbal1IaFr#WeJW08bpf+Eed4CsRbx=%lIMNPTx6X-
z@wemz`vUg8VpaNgn-Qq;xM4iiGps4Qu=E|A^BC@L=f`I{Mv#4FYOMU>Ulz5xt+`HQ
z4m*>%Aa4?B2#JnV@{_U=7S1VO@GWT;Ykyfiit8}|E&ug%tc)M5KAy`xrS3CW)DHs|
z#oPd#6x1g|eY#ndO6NsvUQc5*n|49ITzweMt+~E^xS92=EY9I3c^Z3kQz0otRDUCf
zvt1@e5No%Jao^qdQ<&E7+tGIC_25XcT;VCz>#V1f?mka0PGPZ2vC<AROvrm7YEq?9
ziizbHI0v~+VJoGaDlT43`0=Be`_}VXEb|4Il%3}k#(gAu>&{;cc&2&X=kk#j%!04&
zuFHQ@*uT8zo_r@5kaY3xCss%YR+19K);>6eg{uXPdydk9bO@%JjC-(i(|PZQ4@_gG
zBdKThZ{*MA`x5-M<=-%N!D{2FxoM2}HRLQ>p+SB`nX?=J4{WFAqUE*MGnmslr&7X3
z59XLTO?Kmlu<dXE{=Snli`A?X6p9pRu*2)2k=W*8>{Exc-`1CN7_UOY2~Afjn5UMz
zGmnp8wn}%e(5B}xQQqM@E(sLKv^;r}D|r;Ft~A?kcW4pg$`(<buO>s_WSz`(`xv%(
zi_x||y}_OLTu*&pBf&Wvmt6+TznImnsZ>VA3RZcKUMOQp0(ZkS@vyE*Y*T7wyY-t@
ztR;$8k#>~`SGwbrbt%(Wi@UM4($qR8?CNe6{FMNIL_#0hrO#md_TbIZHn@|rRZa3O
znE(UDrC5g6945N^esxm<2O4cZJeqP<7q)YE`*JtUW7*@^{&ER(q0?e-&XdRR&_p$=
z&Prdz#<sB=dOhbx>HGEzR_(#V5XY*2_046BP0+I9>Lp&p7>;$w{D1@BTHHSAm;W%y
z;;-knT;fNO>w8%GEF3%=`5clYu#PEb@%E3r5=6C2k*<PB2S%^xwAMGUp?8g;I!fvy
zDAZ}!%6nTKX#4%7WSYi-{>s;>ExL=L$oTKa8GYK2lV{%DSIUV>dmk=%eHBM`KCw>Q
z!nHyAO7Z7mcW%`5?RrLwpCk$=R!48q)&}wXO3{Z#yl7o2dzT4K8Y$^6Pbc?kLDY<`
z*s3u<(rpq;=#-a5Z}l%{F6L-~5j)2?+i5|hk+h3_oF<Pdbt2gl!nEKzzGs@hRTznX
z^B1WIQA8DoW1TxawBU$ztY5RS7}9v4A9H+G8A%jyU+z4i1qM5L8OD#q(cLn0C3hz^
zB-Uiiu5d{UvasktB@;<x;lC`R_)#5IH%{c#S7`x<kEBV{gcJ%d4eZi#)<kI;d?!9A
zX+uWLl`l~rWf0dVdy`TjZIs<IlTvVB8(K*o+i0KU(6Rjoz8H7wpwOr)z5W9_;26kQ
z_E=Ovs69S-d4s23{j#In+=7DuPc9WX2W3RKDJtJuLqJQ1Y4-~K@etJec+RC+6~UIe
zzo?Uha(C^Q$Q#s!T8*OM8|LarGukD@Z-IiEy)Vm|<Po9yWbrxI2O8+{9o|*9Ycv#c
zzRYi~iVOyi%4TiVw2*`5Zl=*4IyzsR{T`HPFmpNZ#;1I3#P`d9zv({)>gNtp>Wint
zT%z)YzlJ#E&G$KfDwv6`?0(`?MP-7|3!8j}dOUjXETP|GsD~ar>R(mk)rWHz2Z!hP
z5YUg7loGEGdgz8Rae9Y{A=vKVe&yFfL<xP2>-%K%QBK+(yT9hfa5?gc<8K-nS!Mk8
zA6C#u_3sQO<Kj#q(6)9w=L7}yOZPUXeAGjZM)bkpA#-T?x1YzylZtTeZ7<6d_0W_U
z#fqc^kbmz^s;wjq?F{Hl>KA1qRey<iZ6ixyyrT1*v8SQ$<Hx;c3+PB@eZ23xi4~;U
zt;YNAr=f`pTd2ZQRCIH|?9WemYZzHe-CSo#L$34|CmAUcT6O>V^3^A6h{yD7Y`;*^
zH;YXEpivy^YY(h^zkL(*O0^5W@1>w5RlYXg`<h5a%3?Qr`X+GUXbkJWO-2tLCbPM^
zRZ!*I&x@TeH^C(D_pD|?68imQU?ja?2Kjl0OqAzrf-?b&n~AmrG`V%#?sRQYBt-b~
z&(3obP%Tn=@?G#~`Qjr-PZkH_ryIpNh-?Cl#OM;i{W^$CYKAAQaSRKQ8)<FIum%&^
zugS(+v=E<%;l6^j&#dJv9R*uOYZ%S6j<~F+fqt?gC>)j3Eb9#}H@jg4`Yfq0+sSI^
zC{bNto9!A)G->JP2%8m5b4mF;@K-{OQ%!c77dQcuZc1(S-_UbF;7rsTIW)gz{^8t1
z9@uU$%}?6cQLR7awmmhMMkaa3s%$&>z<~BQ!0Qmeh?3{zK{g5G$jSNsl&JvxAl|c~
zKViYBZN;S*{37UAk+P!%k06BqmptY9(gKt-I(H}E=0ic=TruS?g3#i%chAcY=1>sg
zHz%IUiTd9SPThAGge!j6=IRH{pg?e)``P|Ath?&VPJN~ztVPbA6BjZAom*jqB!_wI
zY3%^dgC7E5a-5u2Z($16#p|N31{0X3vTsCjv;gdVR_j9wH-R$x^CZh%0~p5-nGg#t
z0pObt4+ucUz{i?adZ<~8sb0Anqw|>`w%y`#{UvM+U+U-kI<>1=1%tS6CD-`D&dJbx
z)XfMwVQWL+ogUV3X?cd4J3m}p<aC&<G6a#Cd4{3JFl+2@c@1eFKde_wk6ltXgaqr5
zfPE$7tfJCIr#+|nLB-bNz}7ee_~^LP<GJlLs~uNx%rK81x;;#VCl>YLi>u;m^RsiT
zFrTvRjhq5t==XZW#9JQ@&x4bh*COjF6tv&JDgfmu|1#$<JqQY0&A6$*!s5EPiOg*z
z2yc|Lnh3}BAYt+GUiE=hR{fxeouZf!=-rtg&mLvMf8j4n1I*Z<u?EcvND9M2-J=<9
zflMgdy!TmDG&{6!sV?TT5`i-B%;peICU|CQ_ypH;K$6>xxo4Ird|qyDTD-#mbZJJf
zRGJH7Rq<b2lf|I*)bnI61_K7WxZB)Ma)X3hv}}2RIFyOKy4%n~2VU&PlE+6LXpOiV
z*>h3?$h?&T*MjMQdF0#)Hs*srZ<6*wxFke94Q5Z?*zeCJCwRz}{6NWZFcW$x1&du5
zVyru8a6)-H_uoE2$Z9aj44jgN5VMarL~hWat3Wz;ldv#!*RJ-y*)I!2KAb1c@1nur
zw9T6x-$fwVEHFjmn;e)3xb8Mqq=A3$n>_p}F>rf6eq-pe0*K#<6k6z^LhOy}pA625
z!<c<dg7OX};GQ_6we=PiP8iQH+iyw0u_sQaUK^=^oc)D)k7HDbQ`a*Js+WXYrfT}S
znrhIU;men1Pla<er+)iLOT&($lRno>)!~Z>oA9~qRCpDe)HWY11KvX_2@W0_ATV*J
zVfHi?jHZ2E#b#tdc2R?~<E|#Oyxc*wD58RgxCrH3j696pJ!7~2TMH(bJH!9-(cm0Q
zg_xtS2#dBh&$z5~;H}YF%bgB15RBbgbaqt<I`)1wbIQX(lVKKjRUr+k;$4ak_N%}L
zp0*}8F<nT^H@j`2wxP35!p(3mHJJFCzIZK?0BL~{M;eOhP<gCUBQ8K4me!+IhJO>`
z!>RkF%mW+$9lRu68l?e-OB6>fdoui0|2jIS#)Lofmmj`M)r8_;sV}jq6!=g5R;>uH
z9yDIc^?Lt83)pp3$usp-_^5!}fdutIdPurMs976$B3!$<PSGGO%UIr#VgOh9s&jF_
zbYT0NmN?rs8l0)yy1DuEM!$HvcYK@00TVZ7#jZk!0xq&cbBz)BsLYw{oWa9g`mUc!
zmUNiXADi7wF#)OFFSrGJb)mC2In~^V4l#%32F~P}f?9OM$vqDVFs}P_yZJf|R=-LO
zaH^Zb?iVtH!MlhcK6%ja^?x*IeQFuyaK{4lER&N}TZj-hTJFdDhYGtpPs{YKvcP1$
z`qW2t5-2~tow>A~0#PeAtL%9I6HYq<Nh}g{Iml4;50YS7L^Gm)qo-OeEkEAYApw=!
zKrcXr00E_5uJl)y@IL?m0RR6Cmv=nXe-y@zYm~jS$2G5ud#`<s@3DzQNmj@xM5PoW
z8Knp<zwAOoMUkXPzF#6EBUzadGRxlU=il?kd7ani^PJ~A?>C;2L8NX)DEug7s{L9H
z7~ZINzY{cs5$cqu&=EyAwM}mxEGz?`o~ioyoHT^<HJM6Y=>$0BOwnkIkOK0nXLThB
zhVX$&II5>a0g~mA!N1+&Q18~kek{`vs-j=)zRr_}>LWirJf?)e<(A_^;(bGCY>>_7
zz9I+BD9-K85q>D}_?^CU-Vg>#O4_PaW#Q3t94Shc8&ag)Q-yW+`Zv}J-|3eIyeeDT
zmp`oF*POh{v1$N~mkCk0a6H7$4|SzRFv8p)&!H2~48Tg(-G*0C3W~3}3l{Rw!sNf|
zEwh6LFi_)*{4SFK<C(Homo?Ur9-GPeHxmFM$J2h9)`@}ex~D?};{wvlmZ3xw17Jb_
z=#Y%M2pBHVw|wiKK=ApaWfWn6wR8F*lV1d3>XFcQW4|Hfd2sxJOm75k+oA7lLj=IA
z^8UunnhxZC@zeId|LH@V@R`QQV|>7JUZRFMrU7A&Gc?($*MkD%w+tF5c)%;P^%Y(d
zL&UBZU7z071yn@+7t>uXaCsr)t=Ik$X{H$1`RnL{V90zPwT}a?nf&%BW-Uil;)*U!
zh3UXj4}-_oNml3{k~X)HtU{<c5tmY{sE|}vof>SuAJhr=Q+_YiA%gK&7Nc3I;C8rm
z+-8vpu1nseWS#qt9N#kR%yQ8NMkbLzKgSp#w?NVs3Of-wcWIiIw^|V96*_%X7zZ9|
zqNg%r`;b932je*wEhwmMOI}E#gDpX)j7Q@`i0$PULW6#q@KmGy;EE0{s8p=xrD=>J
zSpvtZ&bMelP+_=CvnUNb?F~`?^n4uYp=l$=XlMYxy%ysk_Z<X#_GpbtnMR)DzQ`};
zs>AA_2!VcZ3#nhu{NdmA50UcSn$6)+hb8k%>}OwZBDq3bUYQp2$d8G}b3wP%KxjPn
z_IBL{Vy@Tr)J}a73HJ7MIZCSrGifU^V{#kFM`x}bQ_?aLeshqd7@-QT?Qdtq>erEy
z=7cK;^i~nkPcy`s9SUUbm?nEaT}QHZ&&#m8ts|P65iapD6i9CvELJUBN1kmLEv%$%
zBKBTcZ?{<}pni@;sDge2=@rmu6kgay4tJ|*7^afJ*QKX$Bx(bp?i6_mY0!X(6{nMf
zJQ-eB-!G?9Hj&8Ik#lcjX@SwD)!n3m1k)U2Cs%m3kOvk^S0DbR16{|+MIJj6B&@c+
zo|4^0_!6GuumBt^yK$7f{G|dbqOz(t&g>vt<Nntj_A^4N%$aILTm{zF<8Idf-bJWc
z&rGqeOpqq=<&VN?W$<HkH;}HQ0qR%lb9bKa1JAjgj`9ymU^y}OnCBxctZXxGro3hW
z8LM0~XD%gZ`2Ny0u9gl?45g}$|6+qoJ?_tmK}0Cay>mfwo*vG{mN1P-a6-Op(yxVK
zMR-`5*!@YD0p7coPV}AOf;j5YH`Y#yaO`7ENZ2bzIR1c@MW>w`eyHugmNZBJuI|wn
zHM-2e9LACx<j4yNg^&NXo+E%@PjxeOWgq0Rl<#Aw<p=l6xMm*?0x%zluB+%_0jL-<
zPHqx_(x^QAT%`i21}0u{n_`0ypBZver67EG)k!jsQ~;XNgn?o{PEcS?*YxcX2EEtg
zCtn^@fD1pw?1XH%Ai?GLxU0Ar;CbpdUmGYu$8OUz$>-c4zc@W1Zy^EdAI|J|HB*3<
ziZSMBL0;IN@2Y4`lLU^ZGlNt=1^8V;Rv*ddgOVS@j~8h1@aq2LuK61UNIU=5s?Jpa
zByCKWouZ^+a`wyw{{aFFJD#pRuPO+Vfzs<@0<zFiE^bs=KmY;NS*0q1FtE0V-}I}J
z0}t^Fq5Xl1FyrU`j>AM0G`W=C>0ecVnGBAQhyWtc{H%>zi4q6m^{M~`Q$<L1)w;d$
zObPnm>jbdONdW1?)9Y(|O0dO$*QHoe1v*_?hJBT#ARxbVC16w;PCN)c;e3$<{320g
z`YU)y?J0eJ?I;O!#@629uad!r^;KARt27XrgK3WM=`}e&E}yT60%b2O{&gtILYwEK
zQie$~80@0Nc~&*(KRBmac1sSfh;<Xu1PVa*q*woab@2EW5JfX24-0ft&U5=z;h6Bt
zLlgR%Q26kH)szAO5_1(hzu2n+uVE4?n?)O}8Wf~6PbdN`7WWVMs=|q<-P`4JRG2K_
znez=Kf_lFfyM>M_T%B3U*f*jJPs&Wrm^mv!G8Nx-wUz>=39VNuI`qL9ms9A@r3~i6
z)eCNn6kvCg-(YqIuwr`owl!WE1kY3D=xE4byR`INL&pHj5B%nK!IYsOU~Y0dPzCgY
z9YzM}3_-p8vIz0DGThsU-iiq!!i3LtF}nP{`eMah%frghrW*F}JV^oGWF?e2DI0-e
z(ns8Uo)U;=)-~*w%K*RmfJ<MT5ln8;1_ym20++OZcqUZ};y)<X{;n{BBMIXVSMMr9
z*^OTd_K!t@zhSOkw802|OQ=salL_#=Z?ONfq5xPcE#8zW-s`WCI#=;R9vtRBZ;Tjo
z0ZW8u`arl5s0W=pMWU61-jcZ8ayDkLM{OEs_vQ(?bx|+eR0i0PsgG*A+sHz&Cfk7)
zL%8goau|uhLpQfta9iSEWVb~Ut#C60wtJzSbC@K|@b&Z8J*!6E-tf7SIbi^YGdp6^
znIyo+>W!)qGKdDMP31rHH-O@8!Np6TM4&L*vM<o}AG+&mPxtTN-g@?DN!`0E2zU2e
z<(u~`p>AK$gIFK{Lx5w?!~gh!*NxBo)ZiLw{h_tz>|X?~x!hr9ZRLUQLq+nmw>Qy@
zhV|yp+xp;!J27Q}aKR4-!krrFZPbtQp#C|ZKFCvwRjQlWz<uGC6>)MK9d&3qhN<hp
z=fm%1=i~OlcLDY%0&F{|hhKk&imNVEG7#O&3mIVRNO~IX^EMhFbl_@hk`7F9yxefp
zq63edrQ#ydZB#QTL(sa83L$?|aglmENLJ&9%|ELx)V`c=zabM9BJ>;o-YZ>0O!vvA
zC3<Y4{2Ck6TGrZNda>{+d-Edld8nz(C~yOf|7z2OWoQA1C_b@m<R9WB^F!wP&2^Mx
z^FT|$tR_sHF1Vga97l>Siyk#8T0=>JX@miDO<2OLR0fX^A;zg%zHb&+QNyfXex-RD
zz{~cp?L%@0^5TBu+t<feQLQ(+QTZ$y;1VnIdiCWOr0Bokosgjwv=^654GB_*$l11g
zh}L<;D~@q~{q72S^$a)-534~+<pp!2JPfsIy5u2$W(AFiwn=$+R1MB?+1#P!`i>g<
z533(Lzk+gJ2+pc**xSD{#(ZOuZuG51ckAh#6||7!tIULvD!gq?AJj-0KvmxK8glNg
zpd;LQWcq3fAf1<gANxLxCLMgsITyEz7Mu$4Up1mY$(eW-uUDh!+RA&yPljt~Us7mE
zK?4~|;|`SMof=1@yB!LT5Y|zty5R=)qhv75{P<&?a|)I5=KinOU;{l_tSQAdM1q?!
zoBBseX3$%sHsRmmH&M|moP+7-N#JoewfLXYEP4%na-NoHd+*=Je!anwKuG_uoi5Wn
z`j;&su>Ru?8ZpblbW2MGUKkY4@%k^If2NFHU$mvcylqbXEk3IZR!8Mu1P?8u>^8OS
zc3!mD;8hjhKlw^v;WB@))@K<Ny6{|U=^-8F>L+5YK1YQ03k$Oj`&Q8_tk!4ars=W9
zf!UEt9U?p_SW!&*x`y6WKE;yZ#eivE$muUiQiMgm)AzTY?&(8m+mDWc342j|_@l)n
z0gTEX$0)wsLX9Zve6y|0SlaK<7k!ol2r(8jS?}IKtpnzsP1f(ny7R4>zLzS1P$P+;
zmqCMFUDfF9Tx7-i-$7VDK>_sGBBvO~_U8V#VYO(-f&B<_|INMU7dL#w7F4b1F&!gy
z%d=~o*zT=qe4C0qQ26|j=5`#G*kkg>;1oCZvOkM?uv!lMK0ij-uQ6i(jUT(1yuyR!
z%?(gbdB{O%w+imGEi*QA@!xCt0zT|VePv<?ha9vFfBzV6y&pRiUcKHOCxG!ac|YlI
zk_DU~O@-VQR_qAHzUTUVLCm4ZdM7qR7W&>a#GU=gj<LR3>|<yU#*jCIf%*}$@RseQ
zdSxjmR_fkf#7q*yp4Mws4F=0X9pR=~gBUk9Z%`4m>?MJ1Gdj}N+?IvNClQMw&v`Ji
zki@8AlO(2WpS<1kSr%Nrk~#+t^I@BFH#jd@<FOK#S01mp<-j!N6WfT00Op-@?%wrj
zX>8R3Ydn2N4#HH*oX8x47<o!M`bn-VmP{S|y`U`*s|rTW`{aeOihU8;8-emzW1x6V
z=K%%C>(mV8@e##F%53@^?Fm?TjkpO(l>qaCPw>*M;uyDjXz;*6BId$-IXP+1-(826
zzpX1tV#K<8r*4}oV+FPtU#^xC_z}YDMsG-A<)6OpTazMTC7hK7?GzR0GoBCS_>0G?
zc>01og~`~1tP`>A)g)l=H3Lz184PXfiXLL1U_)n}9xn+|V4Qy6DW6_h?AA$^+Xg)p
zEV3Zbq%&6)_(Q||dymOu%gzg@x8hZ?#V!@{O-FUe*b)ruY*fJVOt?mpIMguVgx!oA
zI+}1s%&%LUq=<RudFBwD)v!O7-cRs`+7QbjIdwmbh!wy2lv?1Sh8?aUC@OgBK#P0$
z<4ZY8n9uG0mmMN%7%`v5v*xZIoc$O(%==IoTe##ZofV^s-M(f<S}H@}p@RdN*;)l_
zF=#m){vQSV><As$7{Kae-;^4vf>8xcqAcynSnP+C7gawEfGK;J9vxP}oIIlwBp<6_
z4WVOd*#(B6YsTC)P^5wt7@E!Oh!e3&pOBdcjz;k8-2Tw>iYk}}yThducJkOA-`vl7
zy+-h0_L{4@oicVeqBsAnw=`B{tFB5U8pBT2m{1y738Ovb8jBB?z^E>{0!xRDftN8}
zN4i-N+fn}Y`P>yjESD|h@qoE8_!z1+=1>S&&=>ndmlC+KCs&PG5fNixdr$XD>YO|_
zvPHVkP{@pV*IDzt{%!=Dc@9eScV#h4-4CBR+cwd|>OAg>0Y(rITj9)=D~(m2AJ)q=
z9YM=1P>5LD<J=|1AAgFZFjLP8?@(MPf_wTSrZB`1KIzoXgnyO5v;v}(t_aQ}xj$90
zh6Mw-d?#;awo??l--BiNP&bg4?^CJOeg-h_y6_CK5W<|2?(!@|(SQTK9d3>Q%r1rf
zTb$*`0%B&G)~D%!*KGc?s2ji(Nl<UTl?M}X9$%D-#{uI|z|y172s~+}-}If~#5Se3
zWMywMfb*)?x0he_0WKX$EKXp>65B1JbD0@|Iq;p~Mvop?*%)^&lrdq>x^bE9%8a0V
zcP`@5sxBD+_)p%=g&rfsx5bt7GQwSP_c3#EUHJ3p9OZf64ti0sPbL041CX#;a<GjK
z%&{D8ecQZ>W(igOQVU`LEj>$0Qalwl+}A%GjhILISzl)1*crg+W80aTCT&nFZC^P2
zaU8XLnNK0T#KDM++Tb$3HVmia${5-Ap*W)!3vX*2^toY;LOxpHlFrTQ+)#~P=nbDX
z!r=gCJIvCDY67#l{mz%Ha^!<RmwIC>J*@mxP^uHvgc6x6+6UP?k(WK=`9&prbw|8(
zWRwP!&ZeHHFb*T-*9h?OJv}t>Ju)wyQU|8$&T56fe-NG~+VtrTdbk}Nye7A|cdnvx
z-G}XG5YwVjl};WUC_ZOX%5GAFfP{1Ws|9mNzUEv_{zV-4<~&haHdceJ1J?HHOpA!f
z<uB!zmvPXXeKnY=S{0s3cGsvGFC(3mBT<U!43HmwdIH<K%Ne$>wyp%MA|gKwEowa&
z!OV4r#M?-LXv4vT?%R7Dn^Qh=+=dC-@A=-@vZH{FK~{KJ-X;=cQutQPiy4M-mhD$Z
z$sjual!vQ+8=(&NsNZ_L4{nQ}%zGL_2BnLGmhDTs$n{9eE`8h{hdH%K-Q*%eK?wu(
zh!8ErYWd5kB(uV}q-2gsAqgtEynk?+(Luk4`Q&X|b|7R$kFXpe0U_MqWhjOo{#y@R
zJ1x!$bylHU(n~5ppks&eb{yO#l3QI>xZpuLm$JcO6%gt?8E8RegrpY-=9HYc;YIqu
zf^exa6zazwCX_RQ?ARb@NDdEhRt2)%R#1kCaZZtU_WOY6>zu&`BOmxV*R$Szr35eQ
zlk50-SYXiqQt9;serRA4EODhOL6q;$PY)JYp)$}pV@~w|Fu0TCy?Tl8O>UHOag7~Z
zHH|g7cLhO?UZ=x4fe2q7pQxov<^=8C1h?n2!tjD%Im&-zFApe5oj+8~1>5)Y#HdVS
z;8XO7pGlbrE9)`0J~8t^%64?-4ZH++YE)mTl_G+uqU`=5A71FZY|JuuToUT);=`O(
ziEyal%X`Ww9}tNJ*i^O@IF6MV>Ut7kDmm-XZkPbP@C$I^+`)swMMrV-QX)vFn18h;
z3xbooqK(H{84!{47yL$20+}aAx4Ln{K=oz&Br+!pT?yGHLETF5u%pr9%ZdnKjQ@4T
zM9PCBt?gICLS=vtC8r)Sio-{It9pSj0gg{kRC#??0Y+U3t~+TGa9V%gb*NB;PrFps
z=ok_-{3<J0u8@SFU>zTeJq~l(aDoVPGSCat@Rm$V!HmV>4?DBU;A~r%^GSsQZL!Bc
zYvZLsE^C6JOOph6l$H9PstV8aiuN6Fmw~?ns-wMsNI<C!bl>q+gVo2`($iV8aLape
z@XsEX78KC4PgSUcZiW`ip>8=C?vIaDT_(dF^gm~1vL-awU}t_ZC_v!mr>b&e3S7Qj
zN4-<61vHlmJPf1=aQZ{62<k<F?pF$3kNx)YeAML0IB7*VBb<~MY)yfqV;StPC3GSD
zYKgZkjtJK-B>eiZMTX*8$M}&we=AvIYP2XL!bWmal~w>5Buh2v&^QD-s9%1T=_mo`
zrG)}wHVMXA&eD6{1L$E?JH~TE32tE|dq-6jn4skp{bFeVrt7^Bbyo?RGM{97R1?7^
zQHitnuK{$+>V&!Oy<?bAlSCvP0e0WwWOFYVf`j`oWAqpi$hX_>E3?T#(i?nqUY8+I
z(;8Xq$V8y2NZydz(?hMYn49GRBj7KTq2?JWLh>R*TJM|$<om77G;10`pvl?4&UgaE
z3wqvryCn>|+EsJndv&RAgx|eC<-vVffv@E<Kg0^BI@}U8f{5r3=dT3Ffjg&V0@pb%
z==#}3Lmn{%CC^&I?<pDBL0O*_EbIfL?ki^sQw_nVwy*c9lQgJ$zSiy4ql1CB$Ix{B
zy*V{*rLojXLGezgNn+$G@`swkO6@TKmCU|J2Pu+p$k%(5t#}gQ9QyjtdXFoesF9Kn
zZN=eVz&9^Pr#8f16i>6c0TAzX!@Sg41YEQ`C&l+yqY<Q^oS$w2Gz&<d7Pu`4>a+ry
zlI8uV_OV+9fxG}5+bRCH$M}JI=+5;!o@3~@%k?hH#s~l|>3hdnUO4`sPSA;K3f-7#
ziMipe4;#@n&GYiy(8Vc9eb_yNiXI*_uDq=WX7*C?e!QG87r#v%5c-FPAx@7?Kk7o8
zr!ZdoBrB**568Pu{-IN+H3Uyj>wtHdFokA~8RXZJk8Yj*iyCM|q{+$XK#3lUe&YlK
zcqTvURa~D&RUJ)yPI*(|VdmxIhn49e$U(x6<-ipB;=z`}WWF{C>o>%dR@1=2@e_;a
z%sA@v!EVH7O$$0pY_&cj+XzXUbGh~57%HW0&7Xcy3ohNepT~V|9eGWoD;}skf>vI~
z&ysUBVYWakRZnvTsq8;;_;c+LT7Rt9W^zXZ!eWOkeOwlivXTp(iS7O9pM?0+5$+mr
zxpl6^Wn>PySB}%*H~WcN*@YtSzp8`($K^Dgn7@dBl1$q5`F2!XvAFU$SshRn+K##2
zN#y-_e!5X{E4n(AWu%_12DQ>_0fH5O5Ng?HdViXFbn@a3pA?T8D80NrnZ-YfNX2Be
ztbN1KdB)kgl{i&c%gkG2>>oy26B{F+iI$*D+mdN_aH_z1+`yo3=NDqt_}lW~Ru<Z3
z{`}9kXbJ=g^;$Mf^&|4Ua<fAI_mKD$LO~*q0zQ0i&b6NIMTYqXu5I%dBC4v^2g>5e
zAkkRe>gDwlF_gYPJEB~UC|taus>V%*dZMJRZ(A4A-_eSTCRZat*;^@pvPckmIcR7&
zrxRH?>a-(?uR}s7PHB}9NstjKw!g8l1G%`4Hay<^hS)t8JWaf+0**_ZOCyFINSCAi
zlC<}C<ZQXHciVGi*#5+%l}Oitgc^>HQ(Au@Z;x|jYj-KZ6$f{-6#5Q?G=6d`&8QQ}
z@jS|guqc7mu>~<{gAPRcF-!1nLpNgH^4s#W2@&E-Z<yZv(1CpA9J?pz*NZ4#%uc;`
zLlNRxa(NWJIuRk}=(S440p!it&bRbN0+g;i;J;$hg$&#7riZf(A$DJ)-OG3hz!S-r
z)a2BSJk_mfV@)4Me5FUCT0IrOo#WX@$EQD$_7pC&36l||J)2vm>VrH)b;|S*@x92a
zdymzh@Qfkg`A;E;Qy!j{EYynj^dYCZ?%fn-9!GpT>u-MF^9zf&b^}fI1Bjyenc$o9
zlZg1@jaaNz7UBu7k=*59h`xJ=@r^6f2u>x5k*pyL_qg^8PmqU^io{pkMBG1Q>`r7a
zSB?yDsb)D66MiE%4wd0JPR$|n$yOTnoHBqpch1MNjw0*0lz+`L^GHAoXf4M`1Eh72
zdX$bK$vfYst<o2f?TFX+rZ(~LDsJ>*LgF}b_33w`=?lxqeo;ny%@90P7^>2GJe))Z
zQrXf&!&VV7j-9pNYf=!jIT791IgMm8-QYDVTSvD2>0`I9N`a?Z!yOabe@Jo2+$9yt
z79z?}Cz{D51zBC^V#9CFA*1eD@~>ug5R;dt4Ws`_!ca{F4DDY)%+2=m{avMjJBw29
z85Ja<;CdV5<I+WBzKY<~nnMTbXX$1Psw7~waX4xvX&G^p*rXf@!NI#vm-8oGC1B81
zY9~E)6<H{pHqeP=1R>Nu$cIh>F#QAg>YwXKA5U?AT_rP!9Ln2_a}WnFXFFx(V_V1y
zMZT;=n+2+MoG;pxi-FpY)F5r%U1a-mtAX(<8~A&kL>d&u;PtJhvGeS-a5i7gPVyQj
zT+unXz5PZM+<To~`hKE=&}<GZdPQz{m-~%;!Bi9|Kh8{P{f7e`Hs7D>^t|9qur1VG
z76H5rbJw|SMmR_r?HXa>2kSv<qYNqn^~;vFG{2eQgZ-&GABzK!^t)oF@r4Mq(3`pH
zxUqn4vCx(tCImMg-=wSmAOiZYMp?g!vctjhBWwLZqEK^?@!y{X5r|y8$kKj~6LOd@
zZ8WG$fCLM<!p=h!UeX;uepQDXQbe=X@g0&-TbvNw#~}u1(pT~rIe1~N<%2&*3LY-@
zK9v_^5(gXR>6#c0e%MZOO}ueU1|B#}noSZU;3`AtpP$G9IHUJ!AT?1Ass>3JYYdX`
zII%=IE>{RjMfEGWFa_v4w4*X1Dh2Oy6#On}i-Osql$Y~7L|8hibB*;X9-7(3oxkk;
z582&&yDvr=kXT_3R9OZZ@F{GPF_Lh~F!%Diz5Fy14pS_M9L&npp*bRWIKh_Pq})J;
zCtSXZqU8!ucw#j1dy_O&o8k7;@89G3*7>u?@`(_X_Vf9pJF@VR`$)fujv9nUw2E)C
zk-!=~HNDSm?~Yp^v~fGE4i-w8=Ecku7@u>_Y@!grJ*Xr_O+y2OZU`K|YN7_6Z|V5u
zXo%pL^?s{*Km)F;?uh+BHNcj@)7w*~1k#ml)>f*Tz$k-HX$sKZ)5FfNkBtiGKi_S}
z%V>hj`Cs-Ph%T6GAJA}fB*E@rS3kqEz5e)QL1Qrlrk43+Gsj6F5HTrG^hzC4IxxnQ
zs{l4mhgfePBtvaWxSf`U8Wb7Zsm_}l!gA)rIIb`<G-f2QMcPu}_^w;FS&$KEThGrc
z1(D%Mx7z}llLS70-**(9F$RYUl{?w0WN>Bi&Dk%a2z}xwWF%xvVENOZTGMh8biEu%
z+w777ZU&R{p&2GnDj$4|o0SCL`PfGa9!S9Mms76vttP-4Ib1<?Q-*sgS(vDZ008M$
z#@`wfV86<LcGQUoD5tO;V;2h;m}m?L#+pE|afOVd7y-08l?*N&T1CtU2Y$qengFf$
ztgY5(IWV^}4-|j@9W`u8K2-3~82(n><>Wpn15vkpztxm%pfB<dKRmi+1l9UGOb(q=
zko@q=OqnSocDz2rH1D_(94&t$h5Adt+hPYQNstX2p_#&u6dFQ}dUO_x#$NtGJD`G{
z3(I3zWID9p5Gb?ka_rv)poG4>FsqFl8)S_;dB)EGzBgLR(-iZ-0sH=@_)Q+{1k0M9
z!w&$N>`>O~FC6ec00030{|uLTG!$$U#>rT+FJs>gGh;Vq?AskG+C&Li%hrNQ6p9cf
zrHxRL64|npM5WCAN=YaHP(ZK0Ymt&9S&}WXgwMbC-1DC2oO|Bqd482f#KXqrM0^&$
zD_+J1K==$%U$~A3c+UQIs^=9)S&_Xv$0Mykw}&si-**jsxMXtl97P<nm*fWy##lmf
zQ8fDpvw17$43qsfGU8a`kM-qg7Er$R?+xpMF{>{wH~(f$6VcEig5_Uh4lnrk9?l%@
zv}#<s%dABr7IObn*Bv(l;=!ImFXMU^2YvL~*YiY-zcuFeNY@N({V!FTwhgcx-x|hs
zco2~}!1QLFFa@W-%^xFGCt0l>hK8q2h^S;^=xf$y0&0uL=KX1ZS=ohm$j)RU60ao9
zGxbeiCb8FZL%}~*$bgT?$<=wTTWP*{rZMz4{uZacW5YiwOHo_QiMVC+bq^(eW7wDb
z^InN42hwsCGJW<FksfQwJ&|ApMZ$!AeHxrd5v<ScD<dM`%l>croJPQH+p1it$c+<^
z-^C;eh~v*vX+mYPA#^<RGV`40!Jl*aJ9|%yV>CyJkE^U9$Pg9<Jz2b%+*`ViE+v7x
zQ+&MT9vHxRLmTe%5&U@2v2j;zodg~$aUT=0H-N4xnw*lRAb$KaeIe((Brc{Lvi6>0
zz}~=w2QNMgVdQ^}K@&kz$o_pDmt{5s*cqj3HZ}-j<tw)j5B5o;`-b6>1xE&C?^t7f
ztxyF2+u5$(dr}6U4Mb$j2rwYFnqU%eQ51{JY<S$tWs%1`^zH37I`~~IGER*W!;!zY
z>&E8gaMzdlv{Sd~P>h;S--Z#<CN)0Z#7hCI7V1(N5p)oL(fB1kLLAdZ^x5-!6!EM7
z!y#WcI<SqT0b7y;F74kjU-(!FkG5_YYO$q*t$fY0U4bNO8PM34FDj#jgruT9lMXQ!
zvd`5!q_Er7>FJ+CDp;nQ7F)Zzf2E;1OI=t7g)YoY`MHts32V)MQ4cyqIJIz}a+gKC
z+-cObMHQQ##!K78(4k{%k%w5795xToo?5I|!|1e(&08wyU?VV;;i9O3`!7?Bwlm4N
zNBGZC(kvYc+haEENLR#N4gc7sEh!l9ndwuqnE~Bx&&yvVD`C&LXa%1!6%*e{zAb*p
z0I?U1mVrBzQRK*r04_~+bTw&ve_zJ{ZV&sW*2$~j!hgrvY(+J2xyCD+_qhRVs(0X*
z7*WB|sZNe#LmC)R%~6x@WeA4P$M@S+k<gY+_+L$dCi0bW)h&w}K|@RFx`7x~9BDeZ
z@MEJEzB=7}f2qp|_<ba%i0jml?e#0E%r{zi(r$LwNSQHYO`D28SW&|h7C{$s<+bs&
ziO5ms6ccz%9{IhooQyKZKXzH!XrueHhsF}Irf}@UEmiAn6nwb5Wad0W8@)UW2W-O3
z;8Vp**<U>rlrNl!`#GkCn|zZ5w;wQvSXYKYxg!-PZbS<23f96geaAo@PYY1ji!j$O
zrQ*u<@ZP=(O&so2UI??bg#PBu-e*Utc)-S*RfZY}d0~nVNLG+MabLreR~>bopFGpc
zRL79>C+iD-S;3tnLCLZ_>L_=c)H!WOMWU#DeXBjdy&$_Ud;?T$d7I1b+(t(3Qo6V2
zb%0p;)^z`DDmLuPaS&pvp?B!mrT7j2b&u|Z?W=b(iezwP-y&gAN_VQ?3II<MUuXYA
z3SLgm{c(3r8KsC%jy{oQg3<0R($iuT>@wPy;^eG^O{yE6nn_HU)u458d62P!?B@R{
zULF%F_Yi^<nBd*+?Jav*4aJR8Z1~T};O8f)zuxdN;b-uqV0fh}_OIXI!-bMaVhg>!
zX9VEWvb05HGYO@66n>sF6~}2i`?{~S07=pZj1GQPK{~rHg|aA$Ej;Uumy!Tn6cpz6
z|5iq=hmNxz1QGnL|G6+|D}abZk+|lv5=LLyo~uzJh=cr^1@*iDl&!3TT%t<YvVKx=
z^JhM+Tl&h&nP>&y_@A7p+NFRT2gWPQudKy4eqMZyla_FQVRobZ9XZ^)=9c8g7u=}i
z`{fVO)e_#$guRntmqo*oDouWWE)*7%POYi2fZBb9uks?L@$6Mg7v*4195XRFWussL
zI-8HY?Gunf!I{wnjurx*pVZA9j5UYtD!;VNSrV96mhy`nPe4M>zgyV@W<ar*{C4`H
zIL>~llxT}0;MnK)e0rPA;OM&(bv#i-9CSQYyrq(W%QWgHMujO%Na-uxO%%iJvwz<F
zRp!M059&Wv<V~Uay6gU-`=aQ}f5CMpixYF?`V)7ZH-T3RK}{-uMR2P3#_XCzE(FP(
zT$LqbSZ}k};P@^P45|<~S`xPE(}^!dYmOMhThde3!UthAAbBs%CGg-gx1@CEUq+Dq
zC@M4WpfK`Svonr9T8jc}j1x!)jNn4CPja}TF!tT-7K<YAVb6`bwOfA~!cC`L2j*IY
z@N)Bq`-&m_sNIl5W)C%lE^WEC^eaLr`B?Cd=%N7n{-)*!E*pSD*wP6~j1a0_t3Q!)
zM+h4lIA&@u8o&v637Xk8AxybMt5vTQMnN7KJ$+RJSO$xR%pM^;Xl_tal`n$x5AVBh
zuow`i-Bv(R6~=Z&-O#)uQLOf-)kSzS;CgS-m8Mnw+wYW->Yt0D`<cP4eohA1%Uaxx
zY8J+O8r`SY4iK@WjOLoP>W8$}J%ZvOf>9kSJ-+f1=&mtlCm2A7r(!IPi?2oS<mivZ
z)&r9GYBbNdT!{`@AzNR~?G{D7Z+vcc%~Dv@_iioMcYO#K`W$gwNDT8`wp}Y&FM~Iq
zy>q!&st+Succ^Y`6GQCmQY!0^#n`G9j?HoUz<s9E@oo_jyJ80%ejb;{o8lkR?|SKj
zV$8t4_B3$}6;7ziFjmACF2U_rHt56knt>By84@_z!aLh`MhQ0`kE>fS(FgyK%O^5Q
zB{BP$U>7S&87o^)<_xUP<Lvie3-6XfO9i2r=x7z3%Zf-2u+@i`231*kGBW7dLQI!F
zOG3&ki|}G!eQ4OZPps>(EQZD88`CmX@vZPL`JqetzzEu^da6eb6O{RVK3A&YxeMJg
zUd{So^`cVu(dz#?cVV{o+Nv+zYC6qsCr<~3p3wlI5k(A?j21PVq#%Fjv+<T#I+Vy4
zg*v`c!qgp2VK4dBk#nh8V$D1qh(`U{2eXv%E;q$JK}iE0V`yU~XBfb2o&H!Iv6>f^
zZ`S`JYohbQ4}M1t1E{^HE+g+s!a#y?LV>gviu1azU;b_YV%4dQ^2VxodRLM|<)jw2
zO)bbV9vXt2)z#rTaW%}aQ`&jCKpXGJ4EAHX5uD3E$$4)~4gWeY@}ucG$P3CLxyi=B
z!%1&jsUhP!Ss&-V3p(gDqFFtC#RTM9kF;e)QP9v}s<Wb82W!_veEe|76pEyc4OKL$
z_)(hR#+Ryteg4$?_@`zd9>6Z8@REu{qHop~uD*Yv-lNE)-5jX)dn8s<1Le$gkAz;*
z##(C!SH+(ephcbQjLTNXNCj5!c)k{vbND^d8n=Yy@{YKePwIHAp!Rckv?i8Vi`VoI
zSi$#rNu88QbsYY?#dN*21}Z!nf5o;3;OggiAEADAymdn6fMGlpKSdO{pGAN@QdGPB
z_f~Uf&^>C$Ycg8)j%@fW$b=2oWF^5~9VN{QxfRA$Q9?*s=F}!84CV7|_imzMvsMHV
zc}XZ{c3t_!5hlzBZhV_hrQ(`j-ascSqp)j@O+g|P&c9>-{4IcjbiP!WzM+7<hZOhy
zPGUm5(K_cV=gG*kUyN%}To&6oq#q9*XTqAZYPF@AYDlvx__FDpB-Ug}UD@fughf)w
z;NC1%+~}8X&TJv#W=o$a6TMZPpMEpPQb=gz!Ww!{5=9HT=Tg-iK;yPON{j>*oM>(f
zx_ey+c>^zZ{Hg{B(K-{;7N(5bZFwIvGx)Io#)XcaLjddo4VU`%DPdN?)X)ht9xP=z
zO*^RoY$`o)thrtRV;xrl$kCkm<NHCA-W)4fQ^vtp(kh23Gbg4k95|4;_qP=Hf+c*d
zr|^sZk-@hVyTb|v?AVhLWZ|{V5`zD3SW4HIMit}TQE{PcX!Jp7sWjID);+kR-F!(B
zeGiH8owZ+K{Uy3z@tQLSdceVPZvhE(p>C4+wSSpq`g)q<w7og_uutD$ln_zeMy=+U
z(lU$Da$b2V-waBP8ikUB#L##D3qL-OWtO5#ksquv1KAY{7s*}}6*6k1_N-lD6%PAY
z_w6=?xRb919UMeZA@uW0E`B!r$;o+B<)sPS^B2FWa6}lr^E=&*pR-{a^@}G{-2}cw
zYl=4e3E_{1D}t|6*s*~y?h%k`41}q|{r@QnqG8&e*8ykOAl0w0<vzPHY;bsc@Q|ng
zI_KD^j@;nDKZ>4bO~Q=ecvByzmMK5#iC=P%c|*WZhJv=ls3C;NcT#<>^5M9u`1Nc-
zF06hc+UOo&2o?;xlX(h!c-Y0D<!dlEYE-(tQyMgYVOC1*(+|98@u7I?_YWR4&JMnF
z@_+$sSM^N1_mmg40#j`dhV$Z@fnH+jGy|d}cxf-+@M5_IVKR!ukK<`Z8F6t85I;OY
zxwgWKiJBvi@<s*FA??J`Fd_r~NwOOYc=6#1_pW;ltwQ+Xnu=(42_2-vIMlX(=fm7?
z&OCu%!dS;2#4z1NhnA)L9sL*ik+IOO5zi)yAAh_)a%oH-UX$ldPwy7MYTbp4sT46x
zer<~r>H6Tvb)U4sRS+*T-7ntsA>xO)WM$T>pAT3zd<{D$gz}Rdl{^o{F{bYJxxghF
z%oYTFf9ENT#LoUua~Vne<f}9gQA2~gg-;KeL=iOKbEPEhx)l0Uou!?OqrviqbrO7E
zMX+Pz%JMFK8T=43(?oTk0r}$-p+~i%_{xdoS@=U1O(**DEU7fm2+!5;d?<!jJNroi
zmGWra=j?Txmj;T`%CiI(5jnT8@l$Up;yb@uz0Gra;JP)~y{k_ggSzw;`P!AR)Xm$<
zZAuTuCFjn!NlRid{s{FSP{uWjHx#)S^gwY@S={x26!vFl?iJ@C;qx9h<sxAkI0;+}
z$ZnHH7PYEZR!0@jxy-j#7}0<*SI4}zT^1WWZ^iufRm1Ve{-ULaY2d3$>FXVq!~BGi
z1ot~+3=}I_(0NV+dZ*)m85s&#(PpO^G)TeH+=h}?1%0TvZh22rTL}wFilS__)bUiz
zHeJOGeGucQPi2!*Myy$*EOkf&pFi)6JVBuYNqBKfJFf~Bk8_R96>8$Iog1XNTj?O`
zzhCy@s&4tk5$>@zEj*@rY14_Tt6V9%MU29xiuoJdP7e=gW86@d9@`NExUTT~h02mD
z-VDh2J=>{+R@?RuFYhx1mn&V#Y=718joDS6kStxi&-Lf=RJalF^3~cU43m*e+}OjA
z)I(#L9CgbqV=y>3`C;fi1;4MDc}X$#Q08!B7Vj$8zt;Z1zL-bFtm5v=CvEjG{3vPI
zglGo;+{N^4eARKNOikq@Sr0EB%&80UFo&Y~YqJ)d8u%hMn3DQL7dLYUZL(eUA7{nz
zjGWUNs3Y86r`W24!7)D9FZ5YL;!GT=<f{f+R{2<krEBAn!xa_%oB(g){@xE2(!}wO
z;m<dOv~WD^*oEyE0h*$UL-a&7@#%(bqx&{!VDJTltWHiQm`wSPhYxDt#kjb}MO!M8
zy$%^W?PtPF?Ar1@$r|`OSZ%(CM8<u=bY?~s6CytDoVm2BGg!P(wr_-lKY4ih4*X(*
z_2!)`GCS3=4)Pw(lq%!25&Q8wyw>pbQTO8R7%Colk>fNuuYi#Pzjg|VTEl|4Wfmq;
za3-5-7}Y3)kGUe19SPQOMm_7uhT~)`ulU{8IVgdL2k$-0`_6<LZ2L8wUDWWV<@%jg
z9%3l`Udg_&f(gzgr<YtPs`zcPoit(~j8ZA%PAXwc$X+}@e|SO#Pku=M^kae-hjx7Z
z)S|%zS4B;mO^=l^G1G3#0b4FCm=7^s*A4LaijmlGyb{(^u4-M|y9OO<#ZJ7A10V|@
zq3V<?;A6#80Y}a*vz+U-J?+T=`D}726~S`Y!lpJsyFSkn?3-eryKDu1zi6pH>}0Se
z{ZpX(=NVQN)lbu;eYFof;4AK1CxsiM4`g;}PO}c^&5HVqTS7u=X>q8Z1PY0rT1xhr
zWL>E~tjxB{0?N;MW!kUyOo_)}P~|zn;(mGLx#}%*;C}1BLx(7an(uW~Qx?ZrVYJ%b
zYeQzRULm5H=dK72B#KrKk|$V#KOzFZ8JNN0V@g6s?!tI_o01OUzX{gqA;PomiKZZ>
zB%5OxD2TbK4Lf_PCs`{Y^GXU|OrRsC)9bW9Kjy#T_+Gs*#oF{_Al<{r1S%qA+zEGh
zv5PBcQ77sTOFKnpMIzl8^vk2=739}qSbVH{6K$5oIlbO?%e)Z`OlUn<Yv;zU##5VX
z#O7H2gFA+1b{j#@;c|g+<iedhLh{1o7FeHn`IY&a4Pids_4B1~oY<2hzw@BoKh~PH
zKP=)c4B<tWf+2~{i8rk|lsnUwS&z@{GH|Id0FvR!d`blY7t<pu$fwxQzWB}iQ<?^_
zWRkq?n>zt7`i7c%y=BJ)lHM84A_f${K67_Sn}FcxEObGY18I+{jK6CzV8{KE7#%VJ
zzeT_Ls+zLOgNC0wRUgpdNgqLS*_wcR3O5p$h+H^WK2PX2qXVZuTj<g$0=DJaSFJDS
zMwNe-{lrFnC_8UgqV<D-4Ta0^qI}olIZKO=e^$9baASwdz&=jYkJNwS&)~yb1}oQY
z{-r_k=~S0?0WOS>^!miECV<_9{W~nuXz-s^u<5^cE<D5bK>M7r5VE;<@(38y;IQu<
z>xvp~w7(n@%XlJ;&HVvd+xzt3(L{)3`YRsP5EZ&EJt~3=hWydHFX}<n-mAovskP|w
zh)Hari(#Tu3^~hM59;C=k{@jNP{>=h%_@zETO-n3=N5Fq_Tc-}wx|5KPfJ_ZSwsRK
z860NH#OT6}X_I38U4p2g?W(d=B#B9PgtiQc>cZJ#%7FvI!iY(qLWTB7<DtS*|AA^9
zxR=Y_)wfmz>$j_#Z8Vm}KfBtA?+@vK5N|k1SVk0g3NRngY4Z5zaYAO9xenar;Yt#-
z7DFG$<qdpW6*1su*>tCp4iudZ2_(c5@wgry*!Efp<r;jHM-_BnC2m;#_ZM-jDE{gu
zHm8i;Yahz|GSPt&wYG-Z9g^sBu6b*c842ai>@}tx)q$F@10D1qQuxg?D}V5kDv~yC
zs0-}S0n)ak^)FInFt2gn&!^LB7*?C~Hrrhn{&4J1jPj7fSKK0&^?nqTKBhL7$gKxG
z?3BP!rUH7MTmQH9D-}(CCxxX)>Osgw?|~U5C2TXFeiy!513QU|Qu<sp$T63zw$fI{
zPX}jCF8667z50&V(Q+C%96yz5zfJ|=kY<gxn>Gr)ne#OY*N3^t-q;mi5*B_O{$cP^
z2b;7<|8;xOVP6^XLqw7)S~^+Hf8f!>#M>cD{CgQdUy#t1c%X)U!uX*(OAoKgjh;Ju
z$pGa121VRIka1JebtQR88dAICKEL>22xX4$>XXwHoZTy0^yV-P!z=cDDKs&LfsGqt
zsyNg!PIk&nJeP*Q%DsI39-4q1{kBZsvO2~m?$U2AprIsbWSfPB8FZLkQepIJVBMkC
z;O~(%1Q%L&?mKg^6d1MixS@&e8+G|bC1}XF(nCG$x!Sk=&iQWD(!#^JQf`4K^pKTl
zb<wle3T`(N#-3l$!mF|iV`p4+QJ^89xAzV}tXR{l>?c|{J9gWk(nT8yuwtaKjtS8o
z!}dufTKMM8r&j@7n)o>WsG8C{CJ01x$cXuC;ce&9UZZd-&ZwQ<_S4)N<noM~7rtwv
zZTA`3x2T3&GHurKU$ln9+E+@*TAH|J@UYGBf(pvd7>DGeHF(ELTZCC_VE1tBiyP)j
z_)W9je@CY^e7^DTmbbP#&QUsPEeu)I>)B2uyt9VbEnK4)|4^`;XCcRElLSt5yI7Q$
zTEpfdjS7d`Wc;#5b4<2P1V?XCwoZpzgI-fwyPSy{#=0z8E?4v6$flr}$9mS#YPI7h
zsh)(wZ0yFBUkErydZqQXhY7KVDo@Qgs^Bc)M0cwCGHZOwCY3#!31T5>^U$Y+-0{`P
zO?UpVrrp|4ZkA+%kBfHI?r{Yi(jCd4SsrHX6kM?nC<U+)(qKF?kwe1=GCm?EpIN4(
zyTXn#0V22hBwWsyMz4?|?~4s}EX%YEibb&%)D7^P^O;E^k->`2eS60$uFrTUZ8g6-
zZzj$iUm)V+cVFet-hE}oZL{TR)QSZVY!nvm4~pVH-aAd_ue`U?$Um}~sb>M=8}O(Z
zn+RsVSBX&@YPD*=)M2C-U=CLcep5GH5X2&y@21H5R;y<Z*1jyrF@wQ?G!O3(KAdYm
zW~cG)y%p!*do_*yrjRVqMinXI!8hM^)*JdYSmn>y7hh911t&KL-%(vI+}#?*3}*Y!
zs?(2dJ9X3qw&!JipJgK;H8*1W-sdG&U)tBrmDU@>GeP0ZzY=Rui(S?zg!?ATr{<~3
z4FzLp{qHp`JBSUFFTeOJVp7Z6mb+UZ{<snBShup?bAE|+%RpoIJI+Sd<9eT2gC0Xr
z^t5d>O;}`=g}QF~bgi8=sd(<&DKG@b?@qQG56`pK8~MgMyy#{{-fBH#QEUJPx?5ZB
zR{mwx?Txi+|NE7dx+|yLLdpO-u1yK4Z=7XG+w=yWm;KK2Onq$TeU1T?`n;DR<QdjQ
zcV~V!<{+zb>)cEn8v~BBZR;Fb|A+Mi?;aaHIL!KWH`poZI2{U<qDwGmnpJpK_NqhC
zFV>^+6a$YreHfnY6`5pAvntj{xjM{@vv`c9@&_XI;oX<c|MV88SVN(H3Q;AKEb|zS
zDxnn`=+>oP9h;b9o&FoUd@*>MMLI3Hr#W%8w+9qY+lWoG$d8Wi%w^87<T6;v!bBSU
zd1RnH>%F?CKULPK^_R82by)6wt{xOh91!#CoMw4v<}U@%=UH;uD@tpO^k98PyjlE_
zKdgSGuRcm{i!4Gdi?JnB7q$w^NOc*`ur^)JshhmJ#Nw$u`Rv$x9e5cyE_qmGmUSwI
z&y^_1hAPf-niqI=;Bw8K{?7(~S;G1bNrrpakyGXUvpZX~A;0SkOYg`WYovy=%<ugg
zycBIl`H-dsrxW*4{&mf>946)8cdzyWn%}zE9fO+ib2K@8OVA?Acc3zhkCzMUzdSnU
zY^e!hOAQb1=`69f>^9w8{)HQN=)Q^6&ei~)F9$S~Nh>T_v1qN@PixVA{GydPmj--l
zYdUc~pAEGh*cU`{^5f{!>}a-db(rZEo(}C|$KPXR5(j+*@uotczQiOI(hD+L{nR<I
ztdqECazYpnu5^IKQ7U|#ad4f^Bw%8I=th_CBKUBjeA1gh1@gPj#$o+c-qw6~!zM@!
zl{Rr*zHy5JA-VMqJ14nO`a20*rNr^LaF*3NI|@uSeM(7K)z`$#N*@`Oz|SHy>ih~B
zp8epyL73u0*z)6i?2r_WrKoe}zahidhL0SXW`bC@r`RJ}L>4oR^2O8g$WT6@wk>;=
zXHR|p>Rh;A9{+`1wTnt8L!Rw}i!o0{aQ>tpSNyah-qbp_H93b2>BW!KPZ^5g7omWk
z$*#&+o|8Nn(?Eva?YpDO+KHGO+tt+Hs)D{7jRT8CDe%j&&v_zM0tLgRUyS*yq8+<d
z3&$x6r0;8H{)>>puZ2#vBqAB3-xxmEm8Zhi*!)DT1R3l}^ULAxq2QIzsk%`kRG5p|
z5$RMVhu@q+*Y#Gb<L>sXA8ixrQ2i$V%vm8tH0T+xamm-j8<HM-GmJDL_+hk6aJ>?q
z-%U@_y{(P4CoSa<yw(C^59MhNX%)Qd8&=h@%6&U_Klo9frvp;u^!dxjN$3>5{eIvZ
zJ$xb6(NG(t2Qs^EMiYls(edi1sI}EJ<P4D7_@|NvF?CP9oOhG)ke6FR+7*4IT8FyE
zY0;tU=J>&yPZT6uWN`l5O2@iyf-8#c47gsEF->(;$J-$zv4Y>|IML&FOFiEZHl@4_
zXRFabTUXK^Nh=0s1a>`Jxn&H*qWz9mf?BxMLw@sP4+hqg@9ABuHibL;3SFD5v~e_S
zfh?fMKqrp`O~*cS(0v@ZZ^1?fOQGh~!UH-sHVFjl^ICz!*z8kFAzeI1D6u*IRUfbB
zPh`7a0iYHTlZ7&LQBF~$<MvY;HmQj=iJoUd-kad`_BLJQKk}c4;$}TuDHV+@-e(Ou
z=eT_Sd!~ygh|h9(&9yOlFW2c-WgB=Dx2ryByDmO<^Rqgbq>kyqE;3&CZQ#W}0=+Cv
z2lMPx>yPBC;jNv&YQ}`u!O6-I&XDukm{izz-~5>}h7C@2D%q?9C*jC5d(5@)j^)9U
zp>MMIKL7v#|Nj)1cRbbq7su_r_rB)6*Iw5ipJP*s5~U~^*+pbDR1^`3Bo#^uiL#22
z`!3ldGg%QbvMK9p{QUkskN4yKc%1Wio#*RyqFf#9ysb>3_|Lc8N2PM84CkM)*vNyr
zbI)g7Bbvfm`Q=TtLquJ~Yu$z)S<v;Fi`prZCh%9h-awj2K#^Not>VFy$V+D-BstCm
zPM76AtHxxIWO5O?-*=IGY$~+ssIUoqx)7@nWh;d!e6k#bSfVl0zce_(XU4!ueST-j
zT>@q5@46oynZeFKos={bHiq4qINu;<97;Q}d(VAr4cj7AP%x($L2P?~sDF?!O4??;
z+3&K8<<lAKRI?aC?jOz{bIby0uKixT>Leu?EsZaw#{dL``=_@J@*ubN1(v^`slnCc
z#)=Xh0Nb5_hrCmqsCDIaK>8vLls_{vD&WGP#6DnS_%s{(+U#p#no0|Yj=8+2k}?Fj
z;>Kr~HzQJcB-mEbM++uz<E)+<7(j~W9oOX<8uYz)j~LlO3k^;xou;n(P#JgH*ME=#
zEwa|N>!s0xID_p-!hJp1nU_{L>AyvmT#}&>Fs6l-s>Js323-glv;X2YwMrJxSxN{V
zrU6uB!kkC13qDgB3ax}W@{8NOAps#Y@TIu6&%j0p{za+XZu#<yY%3@{7RE;dvJz2u
zxH7fj5A7Yb&CL#S^9O;9#;??{ShzKuwW<Zsd@$-acA0#~LQVfiG&K~NG}VXNXo0;@
zdCk?KR!siWWMhpBHAH*jZ>kh)Le@_PGx?@L>`7hXc$7UgsLKntg$ihb_fhD~UmC}l
zZZlW8d+xuV-hEAfTLXN3b)02FX0TY@es9(^YIt6OE#<6{K%Gm@vOQq|lWNGYY@DWs
zg_+<jf<Fnm;v;vBa+k5f1E=1;JV^sy#^0`ZPOF27pPFC6<SKS#&oU@=fd*ulSW*sp
zsY8yPLDLZ18dldua7%ne3upgY5o_nvK>kC*@mAsncFlPF#e*AkP=hf=)m>5pU4t~I
zcKt0Z;t$>LrW^FYlP{@vlv)j#{gWDVk8Wc|^hFYPav1;|9=ZfRR0VO>^qQQ&T`VR*
z?5y(|Bg}TkFQ_Z1f;V+ajgu_}2=)b03tnJ`<nT9<WeqA2p6@JS97G8vr~6vIakB#D
zlFTUqFBSMceqyomB^A&$Ds}vvWCKI3=*;`9Dj=OYWH&!W4ND7uq(Uxnz}=vGW90$L
zkaDiNX$_-=(TX*ipd?P%$P)Z?zf%dmZ~aSJeMblG{%vn}8@Yh_L5;evp%PTi7ERIU
zF+hZoV%;}U9(bP{iz!zqLYMEGa{CEJFz)nLe4oS%`EgXitC%8ukQz%Aea8%y!L%p=
z&ky20=ew!<6u>el!y_w`73QL`O8uV#u*baaJrkh-m0z+;RX?yplkQ3GCzV3574YQg
zMI8koFHPqrZ*zdmklSnLPa?p!cW$$aK>=QlpX2w^;DVi*YI>S!G5GJFj;+q3JbazB
zPSlOzhS1@t!rlyVD9?R(v1Y$6!jY4kw#ozX6wWt;h9n@4|I~Igs{*(x4ic8G@PXw}
z8rN54DG2VdU(>Tz0BZHqSFcD2z}x%7zZD)y1HZCQ+rM`T5Orj#TlTjgm?e8udUE2y
z7IodyHc*6DCJ*^<HVA|EXUXNG=>)i*S>-vkp$L;h1MK0AqF^knUQ|Vrg~AsO9SYM*
zV5aPK#AXTyugCmiq`u3+JbrbX$e;oeui2R7I3-|q;RfC9%L>q*G_GM(r2+vhGodH+
zB!Pk<?w^Q|5@eq#vaL!~g&$9Ihj{~};L5#M`S3;=90q%hZ^o!W*tC94aDg=JIZj67
zlT_f?EiIecY;|b1qo{g1Cj;zlVyAv;tAaUut#|eW2?*^D&c*TsC}D8T)U8tm>9Mna
z`z$p<g^Dhu$BhUJbVD(UN@_rPiZSSLn-<ItB*_r&$pRu}i9GdH0}{C_V9-wos$UY*
zR$j<~OYJr3zx(@8diCo+25~*GaNyLOek>0eUE8h8=4ybaGGpQ&)(8CM6p2V51>o(f
zWpNo$g;71zbu7&gs2#X1Zm=jq^@Q*6fRZX)n2$duBMA^xDSItEOc8peqCTH8R{^PA
z74xzgfQ=k~`-^#sKxG>D?T@t*ToWT@%cL8DXXoz3xim%KU7=mEDw2mCzTb4Y>c${4
ze=5DyToHP(?BH|lMDS<4I{x{MG5GPdT3MGVfC)|Ry8jm$xH6-k`H9j5?u|YQDxZ*t
z=U4LwYVssu_JzZT7Lo}V@|pf<8<qppRO|2K+Bito6W&=jGl6||<yhp(!Y#4A<S-vW
z5D48nG_GX=QQ7yshzE$kSX)ss!OR1_zI8-LHWO$xz0V-lfrr%zxi=~o*kHo%s(Wvn
zF@(N4bz#z22HsNqd=$G$3!jj&9orRS_##KS+5AQdE(CLrPTkzWeyVm}PZrwuwVvq>
zU2aK8F4k?By|#=U(VpgsEHVPY8>vBeZis_)6`5s=b_8o$6SwdHBe=kA92d7L3gFs8
zTTm8)m7hz}7HI=0A7XS5r5A>OXEaPTY5T}(!B$#hCjg=tcPrLS1YkvB@5DIA1iAUo
zltEQ92HTWc;|qnnAaV^aQNBAv-XS}F^_wz;hYWez2Q9h5zq-bap>Cd>Dp+dj%xDN7
z-JF+>@o>W31L7=nor`1_E{%v_RReI(FQVU)Vgvk+H9uywL|!i5R3*6R!|9}`%ELF9
z;C|MXg|ECz<e`$pJC7gg!J>|u;GhmYWOMzO!Ns{q9$*fUuk6%?WJ4yG;)660uZ=PW
zeCNskSW=4}cyvKGOfN#Zh!RBO)2ti4XUU!iiq6P6>p-1MnYqfBT}*YpYsyM_hAb;(
z={WsH8$8JGLT(mqVZCgLm1RFB$uUClw#F3N&{JOOnJ>1E2|bh)O1v^bzP$VF`JAH`
zyj&_}@uv8T>Bv7=sUnP#Z%@-ccwV6io);c2Qyy5xMqYS~(07iIJ3kei6BW?}l9tf@
zmeF}kE>+lSJ#LU}`21ch@s<WCqz>Fj?wY}BKXxhIkM1KoiiS8OERmqGA%xZ4VG{GE
zdmntKv75|dT97DmmIS?Cm3eC?$FTvAi58xt9ptZSzSVDf)uH`QjAdTOD7KbA;FDs~
zOir-mxXE)^9V(bR*T#+xV}~hHSzmj7C0q8ZQIML|;4<;oRCaMcwoy$fE6!6x78_u;
z{$r&EQq@iO0&~A(OGj5u*yxmzU%VmB3bv_&@rL!m9`PPbiTgjbZ?-vPL&Ol6Yq!sp
zu)gmNEL~WuhKZ}9VKliV%!3#{tOAU(Tbj3=IxvNv3uEz2DVVHgReOk!3TWXv1@6<e
zW7@QIytlIQuwRK9m0bUn;pf<H`GL6>j5VM?kX^qN8(kays3EKj_@bw>*~go)ufH2h
zPY!>?-f=yPSFlh5&o}NFE80z1K~yozNj$>Zug|x%@AE=Q;~ld~R3k=xhf}58wifGr
zLjU0ZJhzu%8O)V$#0+bVC<MdnvDXLX&R&_@=Y-kzn=08x%p+fbFEPIfn@aset*;~x
z4}@Rv<%cw42kDlHTZ^sO*49Kc&m}p?Ip@N7nzac#z;$quORfX!cyLC39Ld5Q&7g<b
zpC;^MxXr}MQYTh0zv&XgDGMs?M+23ZTQCQXJC}vJy0M3yxVm5Gi13xU?v4C~R_x-4
zW50ZNFGl7&Bh!NjFf%*)@)}<|77!;`xVPDdX_QajHo_60()@#_5oHIK<CV`;VLgBe
zh&d>*MdD%BlakOY)QRCQ=AP;49Kv4CtGvU_$iOor+3E_%F3gYmQJnex5$ulB8k6%e
z8HiA8)Kx~^Snx^XtgjZoFxRofPj73bA*SMf64jAjjEb*jZ*X=DTa3Onv#Ti$w^?7X
z#jy8bPe#~ndMYNcRgbHYI&Y=mBVOGkYwrh!;}X6RRXT|+{pGuDEh`0*$qqd2GJ}||
z!SQgNU(=W$XOcc~pQCaICU+HLhOtLyUf6Y5%wn=3Hjl}2lAypba;TnX6dQ8Fm}=(d
zvH2|FbcSLHND~yQu8#eM-C_!v;Pzj_e#d_u*w&SRA8B{r67b_#czE5-D@-fc?XX#?
zCynAD#3z`HUzosFj_*NO_bRsOENnIIC=P5ADbMXECo%r!zqOOC|FGiae&sL2IFRq8
zd@#U0gL&GqX2@@^V_R4L30kn@Ag}K8_ls9&vCx;V6pTH$FiM~IPopixz+FiEWE6e@
z6L<Vp(8{xesXJu+t&bIju1uhO7{7$s9``QhqN4x>%7qTkZV?d8%=IHGtzacC_5Kz4
zlt4UnvT;gA1mY*DFQ46B#jLMnMf|u*4O-W#L}zab!#%oR(GuJLFnQS?E5Dnx5c2Ia
zo$0g?$O=5_?^N5sKE#%~E`Fki$39e@+m1pYTxNGRAZH6R3SVvU(q;nVOoIdNKLjCk
zz~N82^A6_Y=!OegXMvmr;)IBYAY5-Z(C${I086_PM+r&}ko4%rDN_l;E#7Q8>j6sG
z7;Vr!R>TRvy^2S1B?2%@b;RXG2{oLz{I4%2fg7~AF-PVw0pJ}syPo%n76$HxitA?Z
z!i_TmHg(4Zz>n#?emVsM<V;!q#ZT}<LJ?>1p1lAJ`;aIJH<`ft2q(9urx1`I8ea+7
z|EGfZ=&++1D^RKQA3ZHE3UQ6C$ME$6P+cmv_)V4r=s9l*eG(FfK)sKVw=D$W%JZC|
z<Ncg)m89-RQzrp#wS(F9bV8t$|6;17j2k9KE=BvKO2N`y$`w%#VaRGSX+J>bg>ZYi
z7=!yV(45C`knW-g@HidGciHBLyfe+pV<iOmqyCr>VIT&5D<u~O&I`e}rzOE&JF=i~
zP>CR5A`UI*t9Nz;MB(H46IE3H3LwWDzo5IX&tcxEBHnErc>i0<civWlBUMdr?_QDu
z#V<Eb?A(<A{?Q?#f9HNKXDcKh%aDPZbJJEv8d5-F+4;~fs|JT(s6SB9Btnnxx{KGk
zG*rLhUcMip4n9Y;y|=98VWHf)#IhX^x=y*uU9}{*@!LZpa!v_;z1#csu#^b8pG*`x
z|7ZYJoAHaX1Xbv|+g1{pDF-S4<%SOa(u6~GkN1AgslywU*TE4{3V?fZyKOf`3j)Hl
zr3Df-0hdAYBpy=&<BnM7lZ#qVFxFXA;;jQOqkc}N?kU5W&&p<s!&<P;x@SS>s}KK~
z)RshlRDt%J#&$`EwP5$Qo1occ3|yJ!Za+Gt3fJ*B#UgYyVP=5O&{*FHx@h(MJ4;l-
z$1OuCGK&N-W#Ile%NSH#UztVxQiYv&a~2+n`*S!PH84A90@E`W!VdSS0`8rW44tqF
zn5T!#7!R2Oq1fRTZ>%afP2n7D8|5Gp%PgWyGXrZH4;+zF73zs@FDY>{pl|v9@?j=(
zxbgIdrKyn$i1nQmdrFT3v4V$Bf=K2t(Wk-4{z3^xl;3}pxxfR%6yXnKMa|)=D&L}1
zumTL51;+-zqlKQhc|W#qX7Igl>;fa392{GH>^8hRj@=b#Lu3atIDFtjF3)WOlwV7D
z9k#YiZqGeF&i2_9hzf5%3(iY}&o=$tvlcXHw(XhO3qe!3>LE;X{J13iIbPKAi<cEC
zd*4RVJ|^((?9IU1Y#i9%V8RLZbE3uC+g%$UjUj?_HJ$345HMdOX!Ppvpt+8p4Tso_
zVa+;?;yuO(Kl6fHefoJ(y;FD3c^@OF`SM%x(H<xG@>hDA{o+FxT0D1UI{=Q>pM4cU
zV1eP9FI&7J{HU|b$zcCVht|03j6(m>z~!8A3c+%IlquF~FLMb4BZiIZ(hJ+zw;{Js
z;TnFlO{y8abIlM+w|^Go6PGcljxv~g#*fzgzn@b`GXQNH{m&&91DKRT_uD-`el##^
z^DLlN9}vUif-JuVayD=I6>&9wlyPd?qHISGj$FjVYkp3WJ1TL70-JouOp`i1&`b|J
z6vO{Dv#ydGwvI+wHu0g2zpq>mJ=O)x!=^@Xe3M*p_wa2(9v{-m{IDsup#vvcLo0k}
zC=icFS;xD_d?+?5dS%f?2ZR-VF&4K_p?7)NiSM8Dp&5L5z*d(wn2)W@4IZUMP9E<S
z6v=$(SVbT6t3%pQ<RCkq@sb`z2Hsn8UE@P<DSqfjbZEitjhu6R&5X#jV<;SN!H?=t
zYp2#JEpW9-O-OBLMp5mL33J8#$ei*|+lzTkD1JL`AX34K+}TelPihLF9Jf2eZ(=mT
zks*D3;vPH7TXp)v_gw(_Oa}X(kky2kA;q5l0uH2m+4h7}q9EGMH#qaPO9Lpx{BjQ`
za-#1ypRb3x3ZW9QJC@@6`Or4-iC$bF7s9jC;CO9>(aZBL(nSUu;5b_Nd()m9NiZcf
z*Blc;)#cQV&3hy;aeEnGYsiCYU+^tVTogsW+|Dn5Z{DxJ3L-Qq@}iIHEji!v#L$uC
zjmg8$NKlh2NBKsY4<%{`AAk4{hx`M_?5eJj;PSLqTB9^S%6{v5o~}R~iQP(YD?3L5
zqeotAn6d!MKiCj`+EW6VPbqbboFst_gQC~0sUQj~IyX5XFNsoq7*{Op*OwctZ#kb6
zLStM1#a-BtM2T-A?mzJ)!L8J($iWA~=y~U;O+t$lieWvq^86+V%FE{d+P8_I&S&jc
zFK0`ma}58{)VwCax0MW97cMb$@k~YuZ-fkDDHnoQqa@g_ewHZXibGy9f7!mDz@z2h
z!$&so8W2fUtyknMjt1gWpVg`m5Ghb*SMQnzWb!Dk<JlyTSkc_|ASxnq#%8vg$2DMO
z)>QxKX9*-}G@;4ZOhn$sIdk<VHQ{LRyQ#WMl1OhPiW`fPMc1kudg;eB!Hq|Gvqe@4
z{nU;)5GpH&E{)w=U<%g)!z^5g`=Au!a(d_5S1yMbjHGIQiD^UiV`7Nq9ce_9cx30i
ztUT(cXAza!*Jqy(9>1(8gQ%~p5q-kt(TCd=vm^I)pvt-ELUxl3qRdfOKAbI&dL&Dd
zGfwD&`GDq!8~c3{W}oUB?$`TUvfWPL^&m;-NM(8-9<4{@1)GG(BgU5JIf-j}@Nlv~
zO~90Z)S{MBl7-}v&$Y8bPIdZ_;ZnniJtd%tcj`F}iE_yB>;dlw_YB}=LqccX00Ct@
zU~%K<lSQp}<tUa88G^0t@stx3M8rw?`+(sp5n;h}@6GoNVJ@91VStH<dIe7>RZSC6
z+Y2h%%1jKrT!h%2HVLShl1KjRCp>DKDaj7u0qEQ$%v7}ykTVOJNhM4Msa9@DrX2#{
zAG11;6iGnMwcjtTic2Hh39dWe!U2Mh<s2j82*~8MNI)-H5(V-934ELeAnimE8=Q?t
zEWR!qi%t@#%;snCuh;v0i(Js#;>4pPR+J?zdpN}HGTX3K2(Uo;T(sC<2F*OMa~C)x
ziUc+v+)I81@HbSzd+eh$dUMQ0&|zE%$;Cvz%SZxnIFfpUc1sFr=shfW_fP;SX$74(
z4Fae&H+q<%Duw)SxMy`;<wJ(!YO`$z0e1Zu<AmHL(fw41Wa<naq?(g*AVCB`V<arM
zCPe}rJl}T8euE2bB^4%Qw_%Vt+rSc6FOJH>6yC4j<3x|c&%P`>j)A1VwEc+<9CDey
zrk;F;1Cb&v#~=3_!oNrc(X|U==q7>B-}D<B>ZY~8x!D_nRC{pi$hrvX(w(2kvtUK%
zxuRo6S`8pcvZTRgf4`8#A<KMm7PKwo)}LWy01wl{WIIiTQ0(=7JK|AhM3-OpXR%Bl
z4oR|x9AXnhU#u8+*SndJ;iTcoC4xS%30FTAUFJvgb23d@nM{bu&(1UUsUDasKKm-N
zz=s@_ncm00W<poeWmT?n=z(u<V{H{JAJQGUMR9PE32FXE)#4eW3ok8ulz6mx(ZI3^
z-1BBeGWR}>f1}Wa$Zg+{ty?^3XeSU%xmgesUs9puH62(K)rn=B<3=4MyYGtAEJ*a#
zCST3AHUww}RW<u@Bj@Dj4nHPX(Vr!K<G<In;RkNA^FAFn3L{*fNupy%lU^-H*y*)F
zf;n35eZ~IV%}NalWjK)gbV25^WG%3DtYyCw$%UkJy$;R%;6N`2z6a7vYQY;(QCnv>
zF2po<A}uAI6NSq2JNkam1V(dH-Q<&8=(nKa@mm30$ZJ+#soq8t`W_dECwp?Czk8ij
zUygAjW`BW+vkMw<|8H@0e=HXod*)Sp(~1WzG}_AEOV)t1gyVc0hzrRt@iYq9@FLNJ
zit}0e8u06PU04zeHxlhT>9gv=hr0jzwQtXnfMWNhjPriKr|QQR<L>dJ$_3#thL<F`
z-giS&W|SK-UjJBhvPl4K*DlQJxRStmThH{XCl3l(RXg3oCxqtD{Vd}mk^t{2d`Oa-
z7g;tJ<Lp9(Q4e-{U1Cig^me{KQ7Pd?G?~^~tg|90T*>J$ZJRp0w~Kr{5zL3~I#m6l
zz9@z$^Mswf3)T1UmnU(m2l<g*n@{QntvHIEYWl~RrVb%ICI3-q2%y`&2O0&3#L?%~
z({G9s)S)-!+oY_TAbOpi@OZFN0@YE-Kh;iDhbEda_jATVNK8v6<b0MSy6)GY9GRgG
zD6{OBg@-WG`BDG&-90I!c=>lq_(yfPe(`R*>=O}WeTLsd_@*?9wcxzVGNBGELrIg8
zqoRnSjN7XwWPiWU3z|!d?axQ;srEk&9J*ut{Rhz>kAmJhQKx&6AikFR&91dLGVgP&
zb3IEyr+%h$X?!Jt%&q^PanMSj&*n~M6E;MYcA$`WM^yu&Q)xFx_I)Avi5|@Zk}Qfj
zphWYxNCWT!($1YXCDAwQg^LYLa!6eG-TPQ$P59zrzPw>9g?PJ57@gYW&|Ml1SpTgF
zVaEnAerjo?7$UpSxX<T8_Ri0NPqYBzm8g15mPYZ%*GCUgDxjm}obl(UwSgFrJNN98
z48kSd^^*5gK)uyU-3cl>z~^|-mQE6nj5_H{|GZE@)VEGtPh-`E+3N=Bp`Y=n&*<sP
z;&%!NUu(R5X+;;Tk4-n-vL&FIn;epvu?ooFn*!+$>VacwVM^^jhZ9a(lO&WB&_#CP
z;*0zF?bC6h(~2??l{txL*rv;)_@7blEpiNCzVpg8++`vnR&QOD?v+CtC49N>BMjks
zpoMQ|E)iulod20RD2vXxNk%nVV8FB;s;N-E@1yw37c$F;D9_ZWWMmtI(&$_&&i(i4
zqij$1&JmF1xaRD-HNf%TZzM^fMD+c|nA-Z53=&xtqW_ryP-^dcia;bHi=;-&x^QXa
zDfCgA0s(xCa$I+)BA`H{0vqXhNi@<_#`bj#;6q?q&88Xw<u){7Ri`Bo@kAPrz#4#M
z_1`1^lJH1I5dEk2Zr>L)c%!_x03v!HrF<NeL3Z`g=E-Cc)F^SbFnI}Jgw8#gk4FZ{
zho3u1u`P(|)QYuh`vC}Cyh$9GG|HpO^PE1<j~@4QRd|#Gd|o;D>Ai~-T549oKg02&
zz;i;kY3~ADrkXU{xGIT)86hN^iyNt#8H;H-><4ix|B-u-B+!oZ2X!YaP89g;!-rc!
z0JMje&`_y3$|`@4vx;Fyjs=JH$t4(cq!0?eyvCt0N+UbtT^2;yZKI_~#Nfwrj{oT`
zQAAw+14&CvXrkd{Sk@y$_(W#i>2el95iW&RzV?jBi_z^7KeZv0DR7m<_X#0kC9`UF
zDF(D;a8_K;&j3oPUb4#j2qIfb)fP`1di1=cyWYP?A84xzEFbU-p!(YTg;5=JNZ?dq
z^EZ8ckS*FUrQ5$Zo@+m#UQee(X;P=`ta9|A`;;i3b^|Z^l>X0Gpnwh)CcGJVz^Mn<
zq;fubHuE5Rx1TJsYjkL%RgvA~x-RVWU0A*Jha0_5rdak0rbh<Y-`>_m9mvTtNZrD7
zqYur@bs`cB=t#yZ)BA2ZKy{0){`hq+G%<zd@2oQ*m8-gmg9F;I^|pVbd4&_j(YYG`
zUS&ioS;JdP_S%rIKbw8!1}9217h|&KW=20Q53DlvYC)i5Lskrd6P^9~TrbCt1zmRE
z@;-Ay3#?2v16Zdx5RO=OF}0KxC3u~GBssdz|ILv=QVj<>=UxBAO^qGRg^-TL`e_2E
z_$7Ds{XAb=7{0db$$>sii1M`TXh3X{oq>H32Wl&`up*grqC?4IuccBnK&}awzTL!u
zD7XFhj*+-fvi9$vJ<1yJUUX{b)dmM@88QeMP~%4I540$Voh10k-rF;+$B9DfEsA}O
zc~FuB9K8@m0)MrZ=b;Zck?GE$Y=avwy5upKK#wN@N9Y$3+#V+qa&-J&@rV!E2oIig
z98iZb#(#IeMsT6BS3hRiNB9v_)l%!gLv@(We@k@R*CjqmCh~!<AhIjf9p-RU2bI!*
zLWW9iq!Ua0^)FutY5cd-dtX`|mL*uGJ1+5{7u0tc>QzKg{NqQ@C^yw0^HiC^s2ML(
zmWZc4(<+LN;C}Rq^r^xB00030{|uLRJk@U$$L+oMcDeR7?zQ*#SkaHN5*Z~Gk?f=`
zWi=!fNl1f~ok*#BL`%aKQKV9~tRmy*-{*Cn=XGA^b)L`r^XVJ6So75oLzO%FWu3?5
z@tN_7Q{{ABpd5A&3?hr;FN?v-u$v^zcObT2d!P&aJFNr+XcAcIZ|CTnu7JyVX9e2U
z&mUS5%}(x;*n5KW4@Zh3KH5`1<<+1Ip${UG$5N&6Q5WTUL<$*WkDV&D`>YEwJ$AcK
zbxNbOsCXMWT?td}-K(zV&;z6H#qwRcvUr+2o@bD&j7(dmMPAzK!Bp~jv6DCD@W!i~
zcIu@nICWa0J|ja9{Lk;osSqULr94T8ul1_PTG4evepU}!ZzN?W^pdb4D<b9MYc>2;
zy(7mdNFRO&?GX$qQo!Buy3I9j)lu`pr|5<$eQ^EwU|ZuMMLZ%g5+~N6feiuGuR6~e
zz|u_gz?sct+(}Pbeshz84VeqyBP|VKlYkzNCs_%bSCo0Sg=k{y!jR%Jvk|OKD#~u1
zSHgt5i{xPeEp+F9m#f=v1e5=L3vg{v#`~#BZs8ZSP$BIAoA?W3U^VL4QF}@SubyaX
zBM)d{Zsa|&z9%N&XPV1gW~_?U+J9``Eox!@S*+`+H-*ELORu#0Rq<ashX{Pq!o;U}
z^H&?qAWX@vSUE%uSJbw?{c?2u{msQc#+%K7O#QJ?_(cs>t4X~KgPM4<!Zlv%y#-9g
zx84&oRL84+AzH31nrLb}5Gm7S2`-}P-~IQiBZEVW0ON!PavNoD`&~>x^4)N8jRbXM
zdu<ZhoUe`|(p!5DnFEY%0nx=Mb(GmF<?vWZ4GS}eZc1bVOfC#>@gUUEM|HzgQ=$sW
zjsKPG9{@<>>;KU8Qw>F3uLo#-P(qK^Z)-skR<J7kI#@1D4d28rbhdJm(Oc*r7Y|_t
z06{>$zsh{Mb8kCU(Y0YxaG$LL%DM>cZgRJRk)*b27kO0_=k6737nDbjkOT6Xo>ssj
zvX6M-s)E9yG3RR<q;Yd*%C_DASwTm1=gz7KWz2IQ8CSh4fh9c~M`yLI;995`r8iy)
z!zE;$M_NVkgMzxmZ8j_5+L~0ql0?Qw2lt1!+X!RV)S}P!4uDaEBj+9^E8?eaimm{w
zAUY@M`0`}|#CQ~6c1d2}t3zIH1{6NbBYp{<aR-<?{~<L$m4rbKVFs6fa-p+2Lr**x
zKo{O~Vo;LDiC^XA6Gj|(!Q_+6&|v~(7w>qV-5`sqo0?eFgxD}!#ly;>&k_#YPCgNP
zLK>N4o{h$Yu%OlTT~a>AmJq-HK($-DB<kt8$C~LgqwQximoJwrz`(dZgKi~(JSTsw
zwgoVu#oNF_vng{J+>y?e*dm78|JG@7jxyr!9S^Qva5RVCPv4qV92G_P`3vOp&lqu_
zyT+)d*bFqEZrD`0Q3Nwuw%L)p8L=fmD%z9F4D!o+i{cE0@s+W0(_2+0eAS|BFtgtj
zY}y77WLOK~XKjP)@9#6=Ez@b1;Z76Sd*ed|v0o62&UpN-@?pl1G$Yv~gbB!*j&3{m
zPynM<QpZhoS#Z;+J>N*FF?<lqdmJDofK|q#(Y6#;Gzzp3_9Yp^9Y>u|BLjYP!t#=b
zHf*?Z|A6yirV%7Ie!43W!iQ7GE?wSvh#fgc_o)vF8o|U(IIYmeiyP}R%O{#SaC>>d
zyx~Pd_z?V3Kw~d22F3iXeq_XjdK+@&Bt;G37W>i}BQ0L!3hirpPUpt0X}hLNat+{;
zc!o!k951rR3x{Rx;>C}B`&FeW29V#Iz<AM=7xyu?CYmVmqj`LqZ^l!7pq)$Y6p81>
z<gs(EDJKQc>$ZP@gNHtNN(JbMO!6WQtj&$Z3*t@rwp&ML^g!+kuj0p3d>B=EyLZDy
zAzY13yAX3l4<^Dp_l^QT_7%rAR6Y>KA?@oD$(DLx42DP3gapv<)3uJRBO=JYX~{)o
zQWp;0OA)oaDuD5=N5AgX6T^A$3Hfukbzyq<GrJ<1Ai9kA)<|9w$EBAAg5d$Wuzho5
z2HSuje%h_Qn#L)K@mK6kT-0;{5AVq;y&;6Hyp~2?SyEUmF(vVFfd;uw(nBk;!YH$0
zP`A}m2CupNKHTtu2EU#8ssaK;@O0Oa6KZR+c%057|D%EilmfEv#$BSQHx;2{&?}Fp
zpDPH`@@TM!p+!RCuoxzh*&jv>lW<p+Nkmx|4YE$XpHnOnM<;igqL<?eSp9+1JAS=B
z&57lD-lzmpMKdPmRu!>PAw7HO0SzK$#vi5IN@4Rv)bvkjCCuqLoUhVLgXL?q@~73(
zc<$kI6HaSo6x52<E#ub(_Z<I=mrP~xsr5Hj)o>LQdAvjCo0l#ma8rGSy5!KOOWV}v
zhAOUfH{7Ju=&twq@T-><3A-}hgwM9A;r#ff#9lQ$5L7R^ev_ntb)!8AzH92J!5(;A
zv`P<xqfXzOVpGJ=Uj$}E$P~0Nytui^O&=`YmQZ|V6mjo`X5)K?n&>1MHXq1s0B~|h
zK53AQbyvT#zSPyixPE@mg+2oy<(9Ult?Ofvvt^PCzc#Xow@K7D8p6x+(<!`l${4bo
zlvC2Ejd#=haw!e#+*y0~MB=&%a_0WpFKDlWXAj)>ptl(V)rj+rTeK>cT&&|@x~PL6
z9DlY9{5ApF@B)e1R1K3I`4a}Rb&zXoP{k)1Gw@3m_+d7thDPjhZ_oMY;A+&;y(uSi
zSm2_xa<A)u<qS1Kv|SrZi`pUXhy`??qg;KwsE)C$pCW9QwJ>_78Z-+mA!?_YB+q6I
zRE%t@;_cVOfT)zw_!<H>9jNU*eMAG7hsAQ=#8Qws%del;8{ksm5J&L|4b=9z>?hEr
zjz|0dUMqY9;5yo7ud{8PLst?myD_O@q*}}sYgH?l{9<NF;?O|pvnzaxJStfKFF&>?
z!U`0^!kh=rtK(NDseU^~C2SSXxMFt43LYde#Y;`7;VEHmi<)T#<oA=AP-?P*nw~rE
zx75|}pI+$=>o$3u>Q@<1`CtXY?tvr&2UR?L*55^QOd8`gPPV75*9S!%@YC6>g0<hQ
z8@p{J@FYo4-?Z2Yc0}I%&(TU5Pi+5O+%+nK23up!>^W`)(&j&A-Bp#arK3pl<ftH`
z;%DBY8?0bXztw)2m5k>pw**tu`LM}u`rA0O6$pgX%2^C4V8Ll+?&DlssB%%xjI$1a
zCyGy;yMcsaatynaEZNXxfqY>+2%t=iyQ9fT9;ffbw4GF7M%kCijbTFTb2H&#ai_@Q
z;{@U}R}lkF@P~R>#1L>@{#%hgSsML~QjeJ*U!i}g@8wEDOE|KlW#y8wB(@yRojqE$
zL_gUs&`;;KgzUn(;?OX0eDlhGfV258J;^w);+UreY{#2YWiLh1D=Uoc_MJcU<=q9I
zQ@72bf6?U1PHPd&WobK`sP>00@l>m2cFqi(zbtUJeO>3mMe~#i<3DuXxGD<`2Qy%O
z(w<dvTM$_^tKxRzA9}GsO&>$PDKPV?`DmRHK>KqV@aX<uddwEngoZ^E;Pkf+3|8dF
zgqMjY)<zfUV_TZP=6IPv=Q}z5mIz+lw2`QHi2O%q71qrxePRszyXKb9E_356&a)+Z
z^;hUOzl!eSAREIV5uJGSIT!XTvDj8<uF)S|i<+oOGXgG!9<Rf6PUOC=9p-kA0biZZ
zw!u|Hu)IXJJ}}LJLk1Peew~b1#VT@4BiazmGHH}#Hx7)Gh_yT`%#2pqhLy`>1`z!_
zTbubCJL2E9Penm2*mXiC4uTC}m8mN~KA#=yXij@bZLE0A?}$9}m_Do-NIe}&WXH)=
zWs`9icAWM8^k8eGJ_Ou4d(ZDOJE|$2sy_6K14TLa{&8E@gE{A;aOe#??%wp@{oHIW
zR8#)BP3)W=bi6Po2`O=){H`Ls#6TWY-1LIs6-f`Gmt#Y>-QvJ>pQnz+u6!8Jtv+_?
zu`bN!c7%3p;6zI9r|)021+Y%W%dBRbE@;}{*zCc_g()-hM}{^CqQTHoNz^J0?2q3f
zF)eZ7-=i{FyQ75gNS~&qbTJL=L|BCFxp*+FsiB>1ol^`-<@|!)G$@?qpYA4jQTj-D
zS0tAx=AOwr{!)+z9v`DiZ|Cr#%Rl{Gmvs*OR@!s0p_K}3=4Ihw`~qmpG&Z||MFImY
z+E#M2sBrq&<AJar0@yosJNQSjB>uPk#h^eC72dJfRAjaaqSM%3`D>xl=rn7bGD=WE
zpu_29O`8y2Ok&B(-6V@OBBvW9$yBJ^SLs<eB8=~L2H*R%Ngj2YckCz=q(W7hTB?bp
zC>E!(?EF<jLdMjm;e9+*s5w*6Y_L-d|4}Yg)pjf3A&2IQzoJwSv+O=<^IRNBy63d!
z*Z=Wu-ZL!;+EjRS`P-g;b4jd~j2U}wqlEt%9`BO$qC!jW@NvU7Dg4;~(xo&_8A<Q@
z8IE11LM-vRR^x;Wz8$5-r+!z#1%(x{Q$MKC?3{H_e1ja`7jIN_wN}Fd+ba@$n`q!T
z!WOebh=e<iHMp(ZQpdvTC8fo8G*F4?dy&qgfJw56mv*sGu(0c<&sv}^3^!dOQ3Mo`
zr{{{iq@O05oaBCXO-2vQEB$+@(qz2A>bNtYPzyCTZM^ttQV(`<NJ()}l#p%i(1gK9
zZ46z?yg~b-4;?iwu+Ll>ljNG?e17O4sJ6&ijv9c+Nb05?j_dlnEv)`y02SF5UeVLm
zeb-GBi4Hw?RSbJSzk6d171QLeeF<?j2HD`AR~I&`p?QrIpWRO?{*$=de&>z}C}*mq
zrx~duUtPeK#AzxPlrio}<}d>}rcI}&*flVrWhS)xJr#3YR)#yG%;6eeZ@5>T1|kzJ
zcjO2a|2)qeUhcDi7%emQVmk`f95c2tozuavz7eMrrUW>je)D%*5e4hqo~5j1Xrmz0
zaHyd*zySk?kbzzbhVQL8X5XiYqx-gNbN2vP9oeG6@`-{jrq<`%do-}?eP+i_Z!4%A
z|Dms2NWs=A73VEEYG_-@WM1)NUC+~(!}BaD_;YlmVyl4)($cMVCWu=@l?5^8az_L2
znm9VWe@w;*<<O4>o2}vXnaED|FX|}AmJ)rASoaY(6t_z6vxdciyt2RRobpRs%&xgF
zi?=ops*=O3VgJ)t^9TD>u~UlSZN8KwdWMJ!4{Wmr7EVs{jP*P`?9|Jz{9ObMM>dO*
zXx4CP<@xEG`;?J2JN7q8QV_rP{s|NRV+BXw)^3@WQ9}Cbn8!{@+}P92$SPQF1smPY
z8~MFfM7fzDj*HE#m^vHiZt80VyI0rLRbmt{gShtL)Di=R{i$?2#ApS@Zn_$el}VWX
z#$uRDc!?h2(_8Ic0N`*pc+<v4SzH~(rQzmTy6r^Lf$tUoCC@sl1wEya8hHLi^S24Q
zO;;~hT_ph$Cf$WwcqCC*_j8-=!(lo(Cz)I9rzMCmC?u~8iy>RBSV4dJS9&tx^q@o5
z5(wE`#k1>vcZH$+yWhWlda-ZfjORL!>g{79ZAFFA$$`^xJinKI;EvC(tjp#gU&VPa
zEJP4R4`ukXH1yEdM6|qgy3IiRLXb2=8$UMt>u?r)@1?s6UEFwd-T!bd-H^E@!;9p7
zD@VC*_0y#kRIEyZOo8E;sb^X>7e2}^-TTjNkk00s74W{+1ROj#c*ibtVA@S)naqwM
zx_i~oY7dVIgydV!#n-W6d9<!eWbF_7;O6mXPXdi$if-2TOO_Qklyix3jQpbe&5`1K
zUKm02)(376pE6^7Ro$EIUgLD>#T>mHH6yrJu9%W>nF-HW^z1cVnxbDVT>b2qZU_Ul
zW~tlr7?ERur2g>RZ@QO`4P(l(0nFa@QZ)O>fP6h?j|qR7rSIlU>|)q&0C6_XvDeHP
za9hb^<;Jmj`l4CIx2muD(0*y=PFngJy~#T_J%RTx-T3wLo^#&%AQs2&+&Q;Of8MC<
zD`dAs7j+^ho%pB+i&yu&5X)bs%a-*i@m^V`GYX2QCwS?>P+jkH)w8Sgw^EG9Uooun
zRAiTW`e$9JRbZIQdbmno{Z@ZQ`XvKC4b8b)w605}6(8*f(ra|)kb356StjhBA(Y?G
z(x77X(D5Tr*6#;VYj&MsM!njMOs+&4?B2@N(zcNSmDp+|4ft5`jm|=MxD*X&W~BV4
zHU^Ald0**M!iLZClpBPrsi2wP@+j*7BeK~&4`<uUfhqMJGNNu&=o#s#x^BRPP6Km8
z*KE1)sz!Q&(TEQGaLb`b2{GeG=b>lSc0Abq`Nqv^BOS>67#PCB%Yswdje5%Ad}!b2
zaz`#*8xox3q7zkE@r!Na^SA&3RI?1cz(1=6Ly>PwBmCJgWm!||?j1oa7=5(QdZ!k+
zsT5Ww*0UoKFE{7PER5X^v+u9=X~L%$y~;1mInnw?L`K~)5uA#OWK!6r35>NXPEp^u
z@ba(yZ?we4P;7panCv12X6(1@V|l=X_2FNu*4o68t}0Q_l}`Z<_N1d4WqkO9{cGxh
z3Q2tBn88xAl>*T_(qDerCxE3<rP+_x^H6qC<Ocyo3e<!s{`SrmM6ICh^Yw$Wxb8tJ
zZ!lBfXOzeR-gTe0RHIcdAWgz*v!ErVRSl?ld**Yjtq3|_@77`VQ9$Xr2GMqr_4@q1
zo@_5fk^1M^*3b$?3=^CWaCW4?t&}1Y_TA!`Bo(rOV?CGc;$G#dze9m#m!CUQ6(w=P
zDllt0TNzjV`#+YcX+mWCmp~gvX=D^93PLHWSlL;<Tf0{iww`7h-OnJ4B#s|?kKd``
z%AMOLdG%VbMVMJ4OI{u$v;#R>4{4y3l6k@P9&N}<G}NsvBVkxwc&&_<Ca$e4(*h-_
zu=t`Rys1wC-IUEO?FY0l|FuMk^)D*$4!xS=7bRnpktf4qk`C%?N#yGF(ct{<M;*hS
zN*HsR&1L&JDt<GQWf`7b_e=5hI}2|pV`K^4Cf<gIeo-5IdG+*R>%4GB!Key04e#()
z{Ypc{h%cuZt{Q-(efg3QRSmzvgTFs~b@41i*9%vY5fp9VE0YOPM;-x|yKH5;IJm>$
zde|#t_<WhM_D8w~if1_gQhKM0;@ZE++mcM-koU&$_8basxu;5-D%ZvIR>rJ!cXRkp
zSTA?*q$W}_dJZye(M99S=R7RQmJnilrcB9H3zvOzYa1WZQ0lXjeC<yHK5dQsZ)d$0
zZfNC=5$dL5Rhr#P_4S<fJdQW$KBG3?`_KKVSF{c`J=$mQaK;MQ%6GW1vudNaP`#ja
zyCw!_+eF=?T0?t`_Lg6bT3Gkt)zgcE>d0z(JYS^N8V+0w&N*(Wg^GENnEqG=a~USK
zi%HqQvb9>+i-Ve&#G3an?Kl~YmoIlYdD%enspZhk2Pi1|^jWXce<Z}MhjRm>Y#^qT
z;aZ#JdhYvTclJ=Y6lQ<Xd)*ph1F3o20xo@4Lo2Dpr}1?n*sU?56=`P!LpL?&YJ602
z$-VGV;Ceo2qUQQ6ve`iVv0VF0jmlWT>bpb|V#CbKjw1)EtwHWZAz4;l37sBIipUl$
z(}hSL<2`QH&>PCu7kN+-wYT0#W!W=D=Xm1mSU7A2j*<f>k~>K#6nf>L{QFM2j*b^%
zv=xYMY-wXUEQfo~4?jF}=QXj}gL&hY6#yBsbF=-rAGM@LiUhO{5!1cGz8@0-7TA>+
z>B$lpaOkAtsPs7D7ql0o`2qMHB;yC#L{VOXsfq6Rn;38NCB4xnph`XQ-QP{Z=-S-w
z$+ByfsABY4;&HWv;*C{t7gq$ZO>D+{GHs6d8Rp`)6m0>5#@b2Y4ZN5hmvbqCd7e10
zWAKAB&m8j1Zw3~QbE5q0hhTw;IU+(J`<zdU8K6>N*rzx)ROl#~*NmJa#G_UVJK4>k
zSVh%y(4QG=KAX*7D4Qh&a=B&=?M<P6vbO(G-a1FBSI;Run<3cm%&bw*o4|s9#*P-x
zWqMos8OoCfzlkl$vIm2EjX|nl@NOjYU;2#ym1oU))5MNA@8~3oF>vKe&y4HN(VgkS
zg^prV#D|@af74DGL2t_1sABIloig9$YQa1~a78j3$qX7oSn#H8OYLKHhcmx-QU%9|
zw+jZH%T|U^^~wY_Du(H{{eubY8%Kx&p2Rm9cMTxP!i_aoZ-_odKJ(#f#ZThtpIzkJ
z!Uk|j@?S#g#eTZBDEsXI$6;c4E1&C1f<8>VTCU2f>!O!*XcLOkKZuZvXSYWz=z(c>
z`(}f~E%Yao(a)Vp--+s=vzndz_28ag5{txA6Fv8FmCGsbZ-iD_^h4$mUFdgTES)+~
zORvpsx&HF?5W%+LNYLjXUAXLEl3eI<oxWnK$K4$~M5v$sm}xyqgZ6<bc{iCn!hG<l
z&KC0_LfnRlLp*{8avH6{rRCMc@O3rPjO7qPvp=2=i&Xe16RyAHfyCnLAJ5Ywh6sP=
z^0$SFRLJTW-ar5O1>w5s*`Lkp`}TZZ;j8X?PN5B1-#E<kmZ;w|saxUqjYv#QdXVR=
z102t&Zvy_c5C_K@hBGC;6K*e4m|G8PLl~Qk4d2doq9@6&ZyVzef;$)Qb==nieUl9;
zTu(ZQ8;86Oy_Fay_Hk%UCJt#rW{~^8Gol{}gT=@vR{lSUhq14GU&v{~^MuKTjzhh~
zp&Qpya(jOf!Q{^VD1Qn(<+d=WnC>Ga&J8ZOCXW(~qYbYki!|WKO`eC>621@#HaS!K
zLdS_?KLlm&&Z<MzbsyH5oI%1vpDXj)xk=*N)uhT*TXop6@1giUo*`nVa-F|S>@+cN
ze)sau95vwPX4^NG`HfilwfQII^=~4Hni7l)s^D<a*Q<&6L3mziVhAK=iTT3?lYE}4
z;2rmYBbIx;?<*?qvIBF(_Te|VcJ(T-z4l`fef1adRsRCF==}xa?v3E602LJ&xT}1x
zTyBh*`$PYlTJ)FTX1U)Vd_@@q?p^n)j+h`eGFK>>_bw5k4B}%!oXTMB*Z8(%X^L<*
zQ))YGw?cegqtrwuD8aFm{lu}IzX`^#`NcXjYlLdgigXc!68P#AzTfz3hIp;sD6<g7
z2pcy3?AJd{hGGF`uCrI>h@(e0zW*o845BYSX?gOJAz_W_!~XpXgh<aXU+qB_xDv<M
z>w8@hmea&cl4Jf7V`atO%YAI{!9s!SK1~t!rXGtLC|@GZlTH0>c{m~9N$p6(dj-(A
zZg_WDX@!VcI&13_%MFaj-|JXMDnJQ&L3FZrjqu|L))gf2!T2oimsuGF=w^=ezaPQ~
z<e$f=pOOVY)OMTahc*&C6q$Nx#?K74kL9;=s0e{SSwoQNA_<lQ&ZgviVSyIMP-%ln
zVfgIxSf0g~1d?~gB1Jy40c(9yg7J4zu(uH$$k8W3)FZN`JwGS>-qq?Q$|C_u4FL-?
zG9<t!391^0xq&lL()?$z6c}p2_abo;lzBBTFp>En_NbrND@Iv(GR8{&rb>c{y_IF9
z>;1hC34C_@qdZ6m|EUjiB|+Q+o3dC%A#f;~Hb^?C0KX<qHMd+P!BT_y!ROzF!IbPk
z4pSxrkA!-oKeGa)TzFa=+$IW9Z2Gu=K?xR%u{0!00or^CONlXY*mbH>IeSzEgdOb|
zOnnt$+xXIT1$`;V&tTvEnL!==`#Cmhc$1-S@SnDQnG8h#YLvZXNLioT+am?nl;Aft
zHapZ?9>P7^-IkKHAg?rPaavUcLO6TmW!C3iO+6V_FscLp9l7Db&#MO0BB3%ZHx=Q_
zty7^pC^T^Habc47(178eM*mR=B?x#UuCQUdF5Ed<8GV^c3rgx8UKdO#gZtdB>FuZW
zK<{AG7kOza9C$h@GjdlIE}fJt&%3A(CS&KF+9zp{C@MepAXpuIS#EqUJ7@sCAKY@Y
z8T8@U2g%<@R4BmyDRciW6+;+dduJrR$q>pU<6cI0Xu_z~vRd&uLon6kCtThc!(?Dc
zeszF0r1mPfu4WrTR~6~s_Xsl>Y7`NzZ(7%(f&P+UFa(i#hb!+@En(oobD>)?RA`b&
zaj1_qfFALKw$Y&gQGvVv5Q9{xJY%2t*i;`(RRgPtYAe8LpE`3n8i;rc{VvMTg{4Ec
zMrZr2f$!q+3^#Qe968nRS$>`hlFM`nk6s&)j8J%Wag_=jDRapciJGt=dHBhAo-O>%
z-b1|0r9%En38zx7DwLXVW_zpJ0Uv9nWGN>Ve!ktuk(H+iA{V}9Gep_}(^P5ZM4C2G
zrAsP3lcmA<ND1xRaXV=6$*~x%*Mw=A(1bmQgrH42d9KaV4kj;b-+rP@19*GV9PJ;l
z!2LqsTT-lcFw)a?eBgi@1YSS=_UO4$;>)o;n`AE9!j9&csx~DRI64-=+8zI$?xoWD
zl9kOCHas={m+_Vir~G!0dT(5zpU*e(o(Q#puC<Mwl5q;4uJr9Zzc?H2*v@r+^LuNM
zFC|w+?vsNJt1oV6*KlLq<qd^jHLc;gi$;&Ulob3A0096043~#L)eRKJ?Y%eI>lzpL
zUMuq+l0;}IGZhgb5e=1;keN|Nl2JBAB~sqs5m986QYxBKiEJ`o|G@d2^Eu}{-{)z!
zZOJU{;Kxmq{x9!cwt%HSDQW>6Vo-9QeJ<8s5HBvN+&j1c@Xcbc9;>+!6v@;!r|1je
zu8e}up?&~PGeHj@oaF_@`z*@AkA$$ooaZEeGac$vO^%j|vjgu`o5tLN5Q4Ye%&}&3
z=<+^nxMIx+V=aw4>zIX6b($I;`_c?DBVuK{xfbXq%e!7~8xz6{i@E*VCrlyNq3T_=
z+8EuXtgYu$ix57KJ~3V;Z3=;4t;6E-j$UtLUzC|HgtIA4qlb5!K-G<%k!t=8#A%P#
z_p)9>c>f!NwSSH=Ox1JV<FEZpblu!rB5x#wZhtv!i$;u~=gyYBoa288w`&(#i=~CI
z29KxE=tfYOaYyjh!ZhKXdd4P1KnM>W-SWmQe<Q>SIdzIoFA&$IRflcFh0y&SFXbHj
zMwqf`-Tygah4`c<YDCo)LNno(+sY>lp@U9+d*dYoez!Z_dBaBty=FFrjgJ{Xp=(MP
zE5U?ypFH>H-4VijEWMAe1sK3A_4JG3WEOld&ZY2IP#6W>(iIsd^g*2=!nuDl8#d>Z
ze^O2sM$6+P2e?n`1KCMrNB0;zCgr=u)F_CcWZPJB6OTTai2Z8TPU1v)_Sl%I9ueGj
zRP3Whu^yb<>+z^tl^Z)Gof$V}i=z7chtX43df?{wA)LL12MyI-H_S(f;a3G}?6=>#
zV67NGL-_C^{wjFwby6I2D#lyyX6r(VPh#gIP66CNQmc5IDuK&tCTW`;bm29hd=lxW
z07l)&<}7HHMD2w#A6_0^P#ma!!rm*0o#dkIdEpIczq`*Y^%V`SH^(0kU*GFhp#&<!
zIcZdxWzF#~q5=B^Ywph{!e|gS;eC%)7G11DgYC}HU`YI_(Dz;u3=X_)(pxHrk9V0&
zuI{Hnso1o>^|&a8Os&Ou-Id4GsGlDW?w~=ytLSJcX>sH|b~3snPXXT%;VR({>-B5z
zrs%m#V2A9hCmvT7QR2K$m6<CIrp|s#P_2^0;)5C~YgtNIq!gR*DU=40JQNds{tY;)
zdG5H*EoJ0TAGn%uod&lPee||ol*XM4yjj2NRnSv5I^p<R8aVxpJ3q)JizqX*CAU`<
z$q(Y~2b6W8u5RVeXrUZFtw~H|9wlM$YpfrL(S_E&vyVn^$|LiDjj$%OIu`7G<sZ4E
z3wfRue>Ki3po8sI&z&L~NUN#XlO3xEw>y7zlid|DeriyDTtX8EMdF#tN%}Au6)Co6
zqJ*<Ms5Q5_$ao>pZMt<xANWI`r<lqp<3`D%w5+dW49smfcdXI?7z1NYaV{(4h0szF
z%^WR!>gK|kl4J<|9U57pZ&a{php%w8sx~Uj#a1aqZ3Om7j4r;VijQ|z%11_P;~H<(
zLFZ^A$g0X;z2!^7^9>%!$z|H8bCPfGp>$(dQ%uxv5mQ4io(r!(Ue-pvzhO?-%S_;l
z=)~@v8Z``r&&gc++E`(Kdv^euf}xUf#Csie{53rDtpBPOdg`z4De5zWvHs0B5>nN%
zzaqHd@?A0p7u%*)e=vuM<8yr*d(`n_1}pdO6ixK^41fLiB^`b@_SYHyQpaO=--{^e
zXyDX-S(>m5fXLs%(C&}w=r(X@V_u#b7QVeW=Gy=;xcTKDk8*X)`s&4*{aqEkw<>Y`
z$8G_S7fweUaa2bShM2k_0To>J7<rRsWdS?W5^5TH)v&i{3ok`m3CrEvBBhU50GXMc
zjg6v)aw~SDy|xONtKO~dcF_WY4uz!fg^+M?WV+}6cUc^Ku~zXf&H{?|1&VIURz=J9
z181^5H{h&<dOtnF0{V~q(N3*UL7t_eOD-Z3SaFM_^VP!wLR?)m<*Jp@v$?P{Pe>Gv
zDJ^D0R12`{<@S&&R>IJI-+amr2w_T=jK|I;0G>nTqbIWzQJcIroX;wNXa3W#b$<jP
z@NAU#%_Rl&-jWnXU*$$J*XNX_V*oj6m!8<4l}GY{eCLiV4!p5{ah`<)Kpvp0{G5=*
zUUB17d_Am~7^d|~sfrHXV=sMT7Nv2@$nNa6Y-X(E^$J~Op+l<8<r-7z4R}ANb2r})
zM*RL-O6Y@|Ip}$8PJQSqi8&6DU(_lXaJp^Bp2Rz5K>f_Hx3Eqe^;;&!Ijh%*`d_@%
zNES0#dSv&bhAM`g+ncxgJX$68?}^Rrb~6Q^yCrgi-6D9xCB^8P?<x_m_&I#%JrnSl
zx^yCJT^~>C91;o6UL|VpH-?q*nZPhdqdYxG2(1l!4<9#MBkHytjkF3f23pN_rMw_P
zlwZm0Oi^UO8n!F?5j{p=QbL?7Ocub{KKg~OUIt|C*<2l?Zv<wYox)Dp{3w||k@oE-
zBet{h1f;KXVOHiz=ZGU8dj9_C5SGP+X17bnk#{3-hMYO)O6Nu9J6u9$Wz0w%F<{V)
zGK7ME1EY)wd60#eHk<EbLH4>xmXSFFD4D##;P8kWY2Am%jV0M|3w<$-E7SnkW-U8=
zExGXni}4Qc6YRLM^ZKc(NqtaMe@5D|z=bB4Ht2_sb71>h;Uho7^<kq3>2==#7g{mq
zaB!UC!m$?L!2VS|P^e8hTQtmtdg6~aQ8jq5Nb3n>L6RQK@s)1bF2#-CKQ(cLPV(aO
z&jA;M<n$oLO3nQ7ac;D>IDD(5pC9>Bzi$tz*M;%OliWg!-1x6ItZ8XX0MDIrkr;7W
z*LlxD<L5Vduse=9V3<(|yXNS&q6;*Tsq{6xd5jkWKT;#y)r9e5wsnC+Aq`@O#+1tZ
z`OuR7=;cE%5nOrryLWm!ZJig+8H%y|sPA5B=W|yS*I17q4rix<`eZ0)*Fgb%c}=zJ
ziG(=1Wn6u|`zaNAk8P&<N(o|-pzm{XmIV5ir-W)IQsEHED|P30LA>+3rr?LR6gmp;
zdtc;Ag~)!b7n1ATIg)hCjQ7h1+-ecUd!9;#S)Y?ij`hO$^P{)*#oIDiere)ru`m^m
zl>X_8Zx%r@A1R$rS#sD@vFO3WNQKOkQC03=MKSu&OjA*}JhGhF%h0n(fot}c=Qc};
z<HNbtcC}9mxSb<<w+a&#e#|ArSNcm}ZBkJC%(5c#72DPxl%T?$x^3sNR}z<s_VII)
zlrdO>;mC?P74q3apB;DHfUZw|R1CVS;Bwvy=kXI%;5XWR=+Lk<KCamsV3nha_dMtu
zyj!TiDg59<Lz*lWrSfIkeI%iL{w7m*Wg0y9X_kvpmq#gO&A;*r>ZlOs$onIg2A6iR
zW~2)%pq3j0&U<O#MV%AJeKd7J%Y5L<4OT_Wct^T4o2!YwUQ1~UeY)_1oSgY!MG?F8
z_bF;TC8M(MAsLrUJ-F6?@}18=CA`QoqL$OIg$vs}g{wpLp*TWHsd!cyseUeu?(N!`
z|9x1)+s^=~r_RZ~8COB6Sgx)Q$vXHubINxy+z>Xlm%PQ#s+cFQpCBth!C@KciyyN$
z0^`d!5|wQvv|g-V3^Jym0adx&w95!~hNq7D<*Fg+{6FV278Lv$&Hb5U{olz#-fao4
z>S&?n|Ep1fg1&m(jI&OraHU!N^pz!b4AbWLl2@yPM<sE0@ijAu)(u&+IHQ5q(|T!d
zJGBv3h=rwobC4ODc>lUz1Nnm4hsamf=Suk!*1`bL@vHu+H@hav>2K#s5Fq24l+bSG
zc!0xmJ$se8HPPkFgVq9D4eVt2aPu641q2Hobu9U;fzGVjfqsr^NIl;BM*g4$+~@sf
zvJj_%A`hJVth80}ZwHrhb*%+7F{X;uGHKvW*f;rSUJ18q#kBq&v4F|&Y{QSc)G=;Z
z`nW-p0!AqK=asQpf_7~Bu8wnRSSI?P>d*!`3~Ea9t>&`?;l=CRU5O;*4|KBW`74E0
zjfNg+jFzxvDN=LztSYwWA8pFu5l6-W$I|#O79b%1B_Ys51<66;0~ap{<I~HhK4`7?
zbMfb$krpjwq}+EBoO2gIn9<x%KV|_NpZVEyFDPRE5u>6#CfwM~cd+TCh6ThqC&MpP
zz=aC(mF<_=(82$<t=|B^gAIcxy^`gzqV#aOM->ys56bRxz5sBfB)=uPMHaVzDYW6|
zUL*MP%HNr;bLYV6b2Qm#Y0N2`_pB6IB+ReEr(+p(Q1a_ZP}nDh0SwFPecR^<^V`z9
zjMw)S(6af;opoPV<~SF8FK3##7NIQlM#3D_`Wu%DPK)8r)V*IlJ0=M(rUO4ZJ<LGe
zc>eBf6hVcceYdGNL8SGSS)1N8g+Zri+6_%%yf^grZLRwR@yg#q{O=zVcohCJG3c=%
zwzy}-u%DkGw(IkD2N;{c$Gz!lXF~;WPe`*HNn(<CwBg4;jwEA<+8O^SAcqelr()`#
z@=OutiLNjHeK7*gR!-{f3?2->Yn`LwFip7aVeWS^HG(tNB~K3baN$7zjnbFhGel9u
zep^cJM#vxCmndh;i4zqH=C&8-h^@&Pw5U}>xDM$byVlsz{G_f@jqd`X;=6Uh(sw;~
zyrHJP{j;7IdLtA=jxG{=O<K#3zA}K-oe@C<FB>}ZZ5sNQw@kRYNZB!NGJuiY(N|6P
zv0`LNVcU_hRpO|hWyE;BKIo|r{ID5fLC2y8=>~Tg@U-KNJUyyDlyTAxH7~K?;ow@c
z-wTZBank=;-)%iuCRu1jy0PHkt*nJkCuTGlTfcOQ9&Fa(4$#}hg7*`2OYK@&@S>TQ
zf!;btG&2{9t{r8;`fD59=v&$FINo*Rv(yFWi8@i2S{6K*BOu*B%#O^-Zytobq(Mcv
z(bpgmR#X;@q$OYH#4|MsXD<5CK(D9Zlzt8?-d$X@BOT?&+ljhn-m6r&z^@+WNoT`v
zt$+B7y?N2Tpi%;^Q=vGkdt#K09Ua1UoidN$$M1`t^1JC&*nZY6lRCkUr2%`iZhsKK
zG*Rx^pCc4_^<=AY?-B<-xJItB;TOU%G5+H1nG|@(k|1|igA1qo+@3vi6~@3Thk7S%
zDbVBcvyv@xo!4i0*hHE{(2h|`Y%?1LBIXM`&E|QqBwaXM#6%2TbtQ9Z({$imk?iBO
zEI#}j6_;@5jW~{wsH|nGI?#BRV_1YLfG(5f?2RdsSeP?%VfuwOgcYXRf7TR4{%rx`
zKM!p{j%veImso9xrWmOlGZVsamLm-fUNV?>DP`+7CvC_(ePidauP~ZscssdA$)Q8y
z(EKlBZFre^qT8-q1QRs{4B9`-<LD^IX>k*6xb{2Lw2D;>yOaF{OoSCt;G<G=kc&20
zkA89-J0p(sgl)5)vl80(JT<e))P`pb0-i1Wk|@G_cKCgzGMf0rjkzvpLn$pUD*Hbv
zly*(ZuH;umYmN=aiZAHERG|H%;CN}|P;8&y6-B}U$C!u*(iAuqJ@WKPuq@i?Ry>Jb
zRKr&Jt0xjuDNts0*FbBdJU%Wyr$L<3zymFx{F&sa(0^i?In7D|{lC`jpe<<P!~Rl5
zat9Ukehe0zUe8B-Zke5lN3_t*KbZGb1`U!84>>-LP{MnPe=iRAY2#S3Pur%my5L$y
zGY-gC#un9*uCII)l&WkOmWtDZ_iK)WZ=R}Ps;d`Cp@4!f8a>=6YxH4@H}Ch*U#e&}
zWxGd1oQjhN8p-ni3?Qt5{_qQn8cy=+j8TKAxMkOwxDbzxz;Ne*$D*J*?#L=-i_4{=
z_v6Hxu{TDb92MO#$*F-!^?q%l*Quz~Onm>((*zPE_U^kntbysvGNUX0RLpnk{6Zf$
zh3fBpiurk(xaH5+T{=uuG^TC-PLD8$akT>;GMZ%E%V6I(=S{)G4G-ha&(k6Im|@({
zI5N`I8rWMEbx<Nek#l1;fR9C0gVY@|T4_}0x5{ea<};h!SL`gHrTtJ-L>?JKdKAu?
zcWPk4i-U4zeHI{66i<DzgN(17_}oWL)X@0a(O5d&5-!?^1uVSK#OR}j$GqcIaH2Fx
z<6g2Q>>iMG;1tqCp6BI$^rwp0nD@!8r^ymj0yTu@R5Xx7N9YcPM;>eSUEgi(wS=(H
zJ8L%l>S$v3T)yVB6n>oKcUNw=1RnRc%N1`(>%KhJU7ke@+ru6h?Jc$hF`5JOf%B?(
zk<fmcbWIQ|7yS&<k66O(t`+S*DHZ(5Byc^_hZ}1s>9)62Eg`1<+)=3tB^>%9XJA>v
zf?IMXMEqV_K!QnHTBX7IeVhIJDEViFcw0hk_YYm4w~k|6vRxishkg|)rp*v_%^|ni
zcr3v8>Bnb3n`Kda{^XJ~={GTdD$z^oCO~Pi;hPXaX;c?~*7%Tfkmy^ojXGlpQ1MxC
z=ly6&EGab5$TDvyWU9mR1heQMdf!;}mW()3(l@`B6_2MYyX)BuqB#tO&BmVkDuRX1
zJsb8fHq&Rdsu<YD&EVoe2l(43gc<Rk2T7+o=`TE}!^LuD;P+h8J9<h0r!=&lEgtBh
zJ2s4n`|mLY|HqZ10jK%U%AiDmd9a&a()VksBHaW+xH*br{J1eE0~@`6bkGxP@<)?j
z8^g*88)`)v2XeLVdhEBomEJm>w}nsI7<@-Fc@7z}VcnyZP4mh1^dYernt;C%ytcLU
z?Br)bml?H7O(x0o?DL*8{*N|7s=M*GTVy8uYyI%U5tF+FanwLyRA?ixXI)LLxx|3o
zXEVf79<>s5>%Ytgf(_w<SYbz$*(!0)`jGVa!CpdZVW-WtUIVZaJpSWO-x6`R*4RAm
zaz8QExFF<bU;yF^wHq&V{3AA6tpyzH{YbpOL!;*x=tD#hPq&`r0^#;6(0^O%7lP%P
zVTA<0KCqs3bHw^NBD!|iNuBskG`wUpu05{@(Z-yVZ#QO%%N2P)re;S7dwZD&TNiX;
zpVPe@m1i?VLYJKTdBagc`CVyJTc|GNZW*b1r!_<PE@s4WT^c72yVYLhpQHh_I|m4L
zP80gRom)fZCJ6REpHKY9Xb^9)=2e<IO_T)N{#AJ}MO^x;oKUwwg)FnUWyR~$gt}k!
zQhDqQ!DH^xFnOK|`(&LJi09M9FPWvm!GJl!<#WuH20khXBxSU@E6xzFEQyF2{{<pa
z{`(Qed<uyE4t#$6)(o-9`0HeF%p$?d?mN>)qrhYJ;vi+mS;F+_#)k?m%S0-3GXwt>
z9XK3$q=7?mj>x(jeN0PjjUd^Ti6uVQhWpLmx_8LT6Yfkj2KGS)9NQIfOn^-ril#Dy
z?^!Gm8BN0~4s<3okA5W6uvH79<RHyE^&e5%Pu%DJj~Oeq#M4Tzkins*LRo@)i5Q+Y
zY|Zpw#kX;nUJH$A!UK(`e^~D?6Q%yC1s7!5k&V%D)!af8oZmS*eNJ8_*h1}HZnATt
zR>Xi|%uNlj=;!4dvuD83o09JZrMWRYWpvLTJ`H&Bl-arOC?iVPzckd@&x^4Se3a=I
z)M2}q^GH)I6IObkk12V_kJh<Tfn#fGFvww3#wpB#rl-7i7;F~A>ZRgo{Yz?)AJe6}
zCyNya$_Ar7n}kqvvhBnMX*GyUYATAcV8=6-Jo@p@B6wCax~Km!30{m}SA8tPiTaH%
zJ|u~Wp=q4_j?V!kSU#UEyH{krzZ}a)4lCklca}eSQG*0>s-GUSS@B|ky>-$(J}I=w
zsP{HsR)zcz`?n;N@?*}|j;wflX>^OSI-vGd6-4Pz#EvQm;`6{e`wu^sMdnMv3Z<V^
z!PF|&j5}EfufMt9_3XAh_Q*GyYb>aOM6vfwu7n6yc55HrC8>xumxX6*bVy)A_|}WG
ziQ+!d$3Z4Hl(0!ZPxfsB37%-LjhkhOqeMyh!Zx#YU;l3^YKTt_NFp@1tYk^FQa-SF
zepVG*$$KJdo7Lc~+M#Sp#Rg3I)aCMDs~QG=T3mTwt`2j@-1natlfk&YJ*22o4gA#o
zDe_3S2CNFo%beAeN50+p=`q=4Z2l+6F<?N3&K0H`mqQgWy8mBmV5&B%>jkH0{MLfw
z&XWHf>QKaeol&C|mK2PB+An{5LI?I*IZq@}lyUgd*M+V6R0OtG#!M0w(s!#I@Gn%s
zU18;iL4t;%w`cv=B?$W6oV%nYNN6Ql%WM6WhAqv{DWQUTaQ$nvj%$h<-d20g@amE-
zRyXbpFznQakm>U6JD1f_>66#v1O`1^;j*1`xNQi%3Xu~XE}D4l^7DjcGd*OuCB5au
zJtHXgUOjA^L&nlUo3mL4dPtuiemdP_0w$*(g-74jLVu_4zlXo*BF!fz^6Kom4!^9L
z8PC>6_k-oa?~HYE;ED6h4Nd^c$IaibSm@vl%ji2}K*QFMSCly}3#bhFDmhi8g9i&P
zeqLOl;8)`*E0tLb_|Ui9IaH^E1|s7xGv8|?opIURim(J3e;v_X$92$H<7onun<hT;
z;|`PY+5``nq#Q=RX``{U83tV?;h!Ois=x0xfzx+`#Cb+-G^I!%-dLxEr*-zMeo(N2
z3{Q6fueW5>c$M^^uvrdYb*44_HnRey#G<^>AWbYv9&2PfE`j2%tgDq2D`=&&o;mnZ
z9o1`mZWR3|h!!E&I#Sj)ft>fZwpu<lbg*`82)V$HwCTU4Vzrxqq3k4Sh^C5l7jBCD
zu~{Ud_!Xwbwrv8{w(Ax4w#rBj-SoM)?hA2Jmie0CTT7TYuFs&dUlAD?{5-Yd-q2r)
z?U8xrYzber)8>DkmB+wbN0-p53A$x3yB5Q`57}ig!Fg+s3|3q<IqBv4kKS4k_x#v4
z3y`tiyy?nENi1`Vj4EqeqgS|epZweg>+`N07s?dFEiv`)8q}E}N+qaY%?jXN&u~us
zC1Eu0FPImvW(G_${JfMvhao-%!B-CiP}%rjSbQc6Na+iY3uc*vjB4tY9h-P?11bHB
zDi<rf3^;j3q1p^CpXV&MOl8N33**8sRaqfE_vtBGmnl#zLbpk6XGWfnJZ$^eSi#+1
z$#8zo1bi-vy>R-sN_5Rx4RQX*0&lzRUQeo<0Bf3zu!zh8vE8e<WzLfY()zozl6{Op
z-_O}oZfTNe{Kfb9`5ZHp-&J>}lpBGQmqB?u%P(SIxzd1MDl?Sr=X2dWvk@qA&Za4`
zLj=#nyZke{%&@Zcea0s1ji4PQ5vfS;AnH?pIgS5dg0?3LjWst6p(f?~il*O9dU@%x
z_Le(L&};)##T5f6ia(`uZ*MRC_Jn2^Pbw3*`!qi>JzxMw4OGQ<jD4gl=eu*iOJss=
z*WvoT4t?;dy|v<}{+%A)*;15oiwREoEirB}(g$|Ffs*X~zv!!h2W4tLFhTnP)!8Ri
zda%gK{I^ASoPM%&Z;k_v8T!sM%&jQvft2ZCMn{iHdYnyqlXp2Y1e=B|ye-s)h4QVA
zY3HZu8qG2?uPs>Mo=SVBk&-T0AJZg%N}r`a%yN=XTxNlrC%4B5m($?H)q>Eb?0I@r
zJfnB=dsc|7|8KXaE)7Dc<a=Vd|LBarukBzTWCQ!l*Y-(0p#uB8fc%|>OZ0cSMHMcr
z9MB-qCbWGw70gD()r0P?&;uz7zB0QxVPv^DNMMWtWMPdFo;PdsmHc`yy>2cr7c6fM
zkEcN8=Dh|l*csu#w3ldWC=YDov}wGhL4kX;N2)4%Odv&jyW4CtAJjREyW|$?0LkI*
z^TJSOa2^(y)m9dOKU@L_Jl1nlc-KQchc*^yFH}2{K^Fv(8-#|cn>PHOoOd&#vB4f$
zMI!9D5IkElx2<c}f){S3q|*=C;Wl^Ur>qWPSfkx39JkN{{$);WqkWtZ!e9U6qnRko
zmaRq&KPLlk_4VR%Rc;{cmv$Pw5`&DA|8l?XCqopA&Q1|wUJ#u*x||m;0Y8Vnyb9nT
zL-&cx?|Vu7u-rc~$LcEuOcPyCwms2=z6aOl<nIeWx&h-JD}QOYl2`XPKUEW6>)7f2
z7!?G%Z)VcM6<G+fcxUr2ToaPa6WhL<3PZN)krR61@*os(HnAg26U_dq#XKw%0of@l
zH_bW)sHil3QMX>FN0|S~H;Nb(wD5R&b16YXBfE%gmnOsnq^;cT7YDXa)vr9ml%e^3
zQ$nRS8Fu94Q+0ABVLsEOVs26eX0H!Q9DPWJ7X>@sE=F#E$I6-}8s|xn=X#5{5~>BQ
zo!sBFF37+>ufwAwvg$CO+DtyQPaBpawG7m6$-%v0m+Ia&4Y1A}bKe)E1L5T7mbH`e
za9D(N>|ZDuXpXP!rot$&Obu?mBC80hHaAH%8?>Rjy5#b*4HZJCmMrh@QG!C@gV(p!
z>wpMJd((HI!B5#DCR&y<{5+MJ!IMXU!~xQIZckk>*tG2p{i6z;ifI2uv7>^7W&fY&
z1$w|c&fv_UKmz7^#>~A#R2Wq5xWmn10DdP*LvHO;gZ|aY5*r5^><GS9Ii6|=Z=Ymb
zR7z8a4gSa5W726rHmEiXFff8xe&MRBY7N+)UVlvKCJp`v0096043}phmTee@?XB#+
z$NSnDuRY$=EITA3NlHa3NoESE6bkuhsYpXoNhITWNJgoIj7mm{q>LylK7a3@*L_{b
zc^<b!?gvOrnLst`X?$(5I{s4*P1qN$i^d?%ZCVv(u>YH0eJ)u8F*5O+tNC<s_=8Z^
z!#E4*dk>K5>oj5VGZpr`b&%E<)X5<MyyzZ}{F|?df0qU?k@4DK$=I+Zc?57(X15LN
z)kK-blWf^aExi5jn)BytmPmYJxAn#wP5kw9{}Lytfye!GduGh6Kq-8@^U85exSah~
zo3Esby=|709M7x}`}O-jrAZB(_4V>g<Dek#z4l8LA!|_8&(GhJ(?HhiKMsYT6yW@H
zWxv0JHDZ|x&H2UD@vZh$jAM)}<_ns=i~OwdYDTD0>$56Y3;q_DC5vOf!rHmgjn+65
zz8FA{Q^7|i!-pKqLa^^}SKUsvhMjBR6N4oR&TRYErY*GwG8CpV&u><kw_tLS-J=ZW
z$jm?ep{x+e3n`1tw1W5B8TE55iumtxXx%UFC3^d&{ksyitq}L@GGV5w0QWO9EEggt
z=$ku}6^RB*WaQR=sz{f^f~Z^qoxhv@kYg{s$K4Xz$wl{47-Yc3-K^?+fg}d1SjL+A
z0KH$Arth#y;`(2MIS369#bj>j$KAm0^h_Zoni#$fNz&iE9wpf1l;52hrh{Ym7CVLv
zVMK9#<{jw%MFiI;F78^ffT{X$xS6aVj0Oi@40=rw(o_%jcQO`W70-!P9N>dTt8@=7
zaGKaye`o2DjXADZ+9sIY=Eds+#us-G(*%=sXkb*B8B%uc3uK()#GC%L;^cqR1aE(*
zrDdThmi!;IUcJZ$YS^Qs7M^Ls*`C|?cfSeh^`Fg5U1mn_07uY6iz(vJRG<GQc@xZy
z(yAq<8IY5eU(0PXNt~*$ql)b{MlQ!+#?$Km=tmZJ<x>2A5!NeH3O~w?kp0v%vXfz+
zUc`0V>VfPy;p|OUj^;8#n_p6`gx4&6qr}FhPyOEsdhYJTus}l`%ac_sk)Nh(T$cBi
zdN@K%O+2tmsWX7k2655eJHP1uS6qCwuM881{(7j!DH%ZhUF^Z;rtkF3%IRM+#a{>t
zC8UHWRUiF-UVZ3V9qe!hW#7NAgM@@bXDjm@4dP+^Q(Ha{(j8m;axdEt5EnD^-L?17
z0EfZN54ZQxZ`DaGE0*^WQQsT2f<Ebi8nE4leXyIJ`d#5^sP0E1c+B$Y(M@_toN!Lx
zEZ0HLtGdm%z}ibJW&dOFXw!wX-uEZj9B=4%Ub>kb*X$-(yH1$CaMeYXo%z-7u|~Ss
z-HcSm!uQ0tL^p%-b{%9fdW$sHko2TBt$ga9PC|6!opH`BI$+b=`-`cvoW9HCz)<R;
z4k9;bpZcvKZR9xIR$IPUL|-Z5!*8OUs28}f{?Gw!jDHBuE1k=t-{^YQyU(eeI7e)1
zy1%>*o2%3$9o8ig>DtX9(L(J6Ur$+5tkODg1!=YVislokQz=rC!tF%6P7D+`YQgAf
z$kYW|2~nH&o&4(9PS{5bnZzY%!hCGO&A+USsPc98Wv*x^#(m1y`#;sd+D6i=WUi7p
zwdlRx#<PQHX+2zaYepSUzw^jcFcHMzg?pCblukl?Nm574Kph9ya8>5d))7H=idL6Z
z-xGGRtaa^iYIu-)^-lE82IB2jhso6KUBtHcRgVret3soYyV|v<k#K#T;NjQWO_a6p
z=lm2?1@T^Hblj(fxEc7tQvE<Lu}J`8K%Ku=%t>j#3U;`+pDvhvMO01H%(XavBzky0
z&doJZp<Wsv760fB(O6|~)U>OQFuo-y?Mk7dWU`2-{8bwfIy$HkUe`}hMJ=y$r%-U{
z1;<f6?{;EZIFB}~Ge~q@{xl*qsSG_8H@`PborJAmo=C>sAtE8>&WyXSGLmSSqxNm@
z376je7Z)AA64L{FPd|96gjxARyY9T`Ce}#SU6GaeMsyvl_7t&D!oa57HuKS5!u0F5
zhW(PG#B`ptS;P}Xbn2^qtT+Ee^c?AR|LHMCL{)WUR%<KbV%55nds;se9$Q?h=`G{L
z!^l6${SQ_->TtmA$m;>(L$x3OvxEsET;*m;r>+7<%%TV{?;%2}_WmOyt0|&-+xF4y
zN_m6~E+!0feI=Zd!*1LjpC+iQr=(ybkJ8h>o3g(T6GZ;z>a2zt;^U7AulRO3D9(rl
zdCrdz``b=%jlTIqkOkYd%XZ44Iy*J+Kl&I^dgj%vH2*wNnKyB^cvcqgXCE~A*N+n|
zjYaj28H+@JN|Gysnk?eh>}lL~dV*MX3I}cTGV%0y2<=gj48lzRdlct1MHFY)y}kFC
zf&9$<dWu>sjiXjQ&N|D}#N~tZ>xn^3<cYHjw!apn;OBpTZBO3};hhpdG2FmHD!htO
zDEE*;z@?h!QImfNK?ehyPkwCVu9o!?J1Qg*<90mars+H}bigu%<30!3mLojMPn87U
zFFC8k7mI}F%J90+rre~vkl2d)O$pE*NgVlfVVTgEGl&)BUqiBe<r56kmViH{xaGed
z2J)9~ociKLKJxhUdrx@Zh~sYXjOXSICUWlP-QNbA1;|}_9rC5e#Bqt`tdvGH3)!3&
z-Wp>mL}t&k>@C?Kj`#E*QY#nO$ka>3$olOf<l`K55g|=+jIeF_Ejz|R4$tNoY_1R^
zy?=53?b8uQ(|C&8`gm?qEGvh4%u$jQan`&n<0p;@1-_%_yw;EdmhbOek(VL8MkZSH
z%f+DyPA|P$K9c@`T|wiT9J$|YHjl?n0#%>iR#im{kfSL%r>ET&$o|FMOkSdrkS&>R
zs0$DxC#}yhztvPCvv0Rt>o$-=spr(%|Dr|6mnMgkNo@)#tmGzq<FPcFABn5FHHeW@
zT|>%*uL`MfVSAe6HCagCo-ny$BS}7MwyC$juSQP&cl$U8yF46+3ibyrNt5XUjiz1l
zn&jme>JPuO3UFZ)JZpJGj#Rt$db8r=b)*^Vou|rsl`z_`d`E;!fqc{dZ>~aJheWez
z&4v3Es7W1oY4}u;3?+XQyB*ghqb7H_5AIUM*AMqnpB_~vw-xRQAztf|byE>`s(BhX
zF+LUB<4Gk`ZFg24XV)iX43m9+t<%Piq3FeH#;T+#UF?vwi~+gJRz;}8OBWRD?)PV8
z)yc3B=41O;49N8JsTadu&~SR@bE@Z}1{uesel#q{kjyMplst0C5LyBZ)*Q83<oi2I
zT(904k_ycMrEcyfu;w!3)Kb?byYE%*XSiZWwmpu^i+3|eil7irOOG~b+PRcNA2lHN
zwC>&bUJa-@HJ=->O^38JeU;$wP@g<skgy|TwRdsuqX{`Y)*;Ey`wII0>XB|oyDQsf
zt<b<f>yz51L)Q5i_`iFtL;k&Tt6Eyx22qWE)h&;7NF8aNo`(OlNaiBj*B{w!VW+IP
z=cA_%>6UJk%dDtMn(_TTta9HL!~XAt*AUty&F<_~rxZmp`@GeQKb&^>u_^9e`|vsv
zHg4Qo<fO=gTEPezc{^B?ZCxw<Ta)xo>2ehq;U^RCt?$~iU<>}g3Q2{P>ZD0WrPbRw
zMv@_T;mWV;w)n)_C4a(2mE?;sjOU`iBF+`fmz&AkV&Z6Q$NokNNn_ygTWtG7Pfhx{
zr}&f&?!0z&bfGDc(TuL1&&OC1U;da!x8EA9RZ%b8?#PpJS51v)xz>QIfL8rP+Zt*s
ze3Zp)GGx2reZzQe0nERujs2Qvg{qwa$)>l(NnO$9)~C8ccs}&eWb+40%pIX-|1%IK
z>rG^vg>MNXZVOY-kg+Aa8{X>YiSUy;&&_Q$(nJty(RPKs0GNt6613q07iqkE$+?nC
z6f-eS{PrS1PwNKBjW?M|GySnqX){q&@yBuTQt2qGXKgJkT_EnOM7tyyiy|y_lTIYf
z0(zQe-c}{Qh~2_wo18^N!FPB0=ynftWI8{M8BFdZ-uo5twGWDbCDANHFVPH>OeFP)
zSQ~vrlWBVLwg~vAW;bppOmV32q>#~}QTl74hnH%?M9|yoD;dFQiqGSG&6yd$>8-yP
zb$IMVpv}cPsP1oqk1w~M+N8QbzvY&CYD`rGTX*SL9UzRMe<hr&l!pPT0vl6U<V6sn
z9a`z5YK)#_gU`*?ObF6T;ryd1f<?dcbB0%pKs{#4Dyz+kCvsc1q`I%p$1`;-M$`yT
zxsJI>g|WkAVU791IT3V!*|4GJk|7><iw|x|;e^e;hsPO4MDQ@XZsRj$Lu?Pwp%)}@
zqo-y{iq~5d-p3|?J3KYO8Rl2%O98z2zF+Nx`xj9(If`fRa5q3tp3lfVowayFobl^9
zErt!oyFz(p^iiK4X_z0&2R@F_l9Q`EElkZkx%a9*<{G%zwru4GuYZhzhJpk%S;R~q
zxacGI5?5fpxd1F_*D{X_OX8=^Cj|<JJ}mX@Q~Trv(fHmsOF=;jjsq86RbSGO^<S);
zGPe-!{re}FwO$%g;$NRCXVcKLG1S*%Q3&gT!csJnWpHIVyX@lLRX((rXfe$Q<Me}(
zgQ6c~(LMiQlh6hl>W{3eP5UDP>6F(4SM%jy^JgxerbEN8n325#EMiz)`WHDn<k5LU
zAnmp?4f+#boP(vsk+$A1o?k-&j8ZP<R0<6O-?`dUtR=AV?|aGNe+n=n{yjOOM}wcP
z!=4Kfk~q-!g3RwygxWbHuWc?g%s(@HlvgGNH_Fa!C(4x2`6*WLRwNC3x+$X{R-_U3
zw6Z)PTNziPw{fg_NJD1Qh*J1wS=fggoGd&-fm4QynC)s$c6+|)m+mVEe^b>(8&4{d
zqkX*lHtJ(EOUjsyPabDFLw`KeRKe@@!!{Pr^l|pJ%;ShAdHnWlisM*PLHdl-;02li
zv<Ldef{rWTA-k<|O_eIXvw5i369&k){g)+Ttcd25;xp`fRzbMwM!^POL!=~H90;FK
zgha*Kp^im0e1Vm)37ZjuDK|ysZz$o^_Qk--Fm<?laOzVDBkb>+V?O4nj4%F%>2@#F
zabCDcRPcl`s)nD%m;F%2<i2P^d`ca9KO5`!t@4=+UKXy8r$F1hiO+5I-BOa5%1<?g
z<5<qsTt+Hn>~lXf)T`t7(wY-q%d38r+u)`jM#X*E1C1$x>X7;A5U<*424T4t#`>33
zoFRFVbvo1_%)rh?y=ji_NdCAAZWSo1-D{Z>P{Zr1yze^qTHx@%n;%znRPatWd-j8}
zDhhdn#oOiR;O&T-6gE@AVC!+AlYA;@NKdcge?i9;>*8S<RTa=CWvn!NDe#VI_dBf$
zly54}TAZWeX|eDd(^JZDdCq)@X(teHGvuOc@#;U7$CgegD8WCp#%Sd{V58RScGQN7
z*J69UhszW&KEPkT^Z*DgVi^4IIR(P!hmK#jl}B0Y+0tJmP!MtMfvpAw%TqPFX3u2d
zQ9*GuXaMxLH0Km0D8sBQm6&3Y1`C_*!^~%Zz?nA}jhmEU7P`Fb5-EYx%0_hFLZBh^
zzT^c4B}A(1nY%9`hU!=KyT6<OhNhxU?$l94fJZW=ZdMq-Z)|^X&=+u7dX;JJrvQAd
zzf-~^go0C+<r1rFp&oBK7Jo_}YucIXT>}KLwM&aH;VT`X>)1H)SPoTY3(BW|^T8}e
zlk^Ry<L;`yCpF3<z;_+olh&eG%6LL))B<s5B#d9`$sn-2?q_iZFDmjr3oZCt;F0dP
zGajW<IPr<`^Ghxss5OmFly;cIV6Z%8tF0vV2=C|%_{Iev$+GOBRljz(TDTc9A&%vP
z()y$%7d9t-9{5;hhI0vGPy9>85b*KP2J?JQB)D9ht57mSQtX?PiRVP|q48d6dKf2o
ze_k5)%QnRZPeZ}0r$oTk8TpVUkrN-iABCJ@H^ukEy-GZnh2fE06Z5E*6Yf<3SG!|P
zuoyLeq_af`EGA~r#~iufwg;Whr;SmtB{ctupb)+vs^vDB=Yq7tiJ^*p#uzv=8)O<K
zh<CNE)~WBf@!@pGL7p)qJi2q8@AV%6JWsC<nrq`hf6eoAYeI~0c|z;+vvdJeSOuJX
zIl~L?uD<iklZN=h@?noXT>y;<{}$Ly*J7)Ot))h^A!-Ec<f_;OaJ$?(Mazv3M;`F!
zH?bMwh&KB_uMvKX_wJfv5$1<%Zicb&#Z?Xzd_57~$B*5jJ;5WR{CM9cE#jqZfXzo<
zdWU`IN8`1sYvZi~Sn<7?)6uGrk|fW7W-b8`q6S>vb%HqDrpDjBUmr66I2&0k1<<Pe
z+U<O!5C*s-U7v{PLqBXwbMsjNXo#IUBitv9GUI99R}D10GVRE19TPy|yT3}2tfDYF
zcz@fmXd1TbEYkY?1VIQ>-RvQTtY$$rTYVaY6c29t@Kq4Kb=had)5TFyCewI%P7l1z
zLOUNH6T$-DP39dF5(wFtbB@134{9wECj+&Fq4BXgId-QMyac*ataJ77w=3f0_@prQ
z`~J;L`zehF`+Yuqj?lxqiRR*sO(J-}x3Vejj4UpfDe&I#(}Pd>u<O}JqQDbP;oz%s
z_*-l}>$Oo2#rw>8PCpRCde?8Rz47v(o|A7MaM8n`&ql|@>cmkpb7ybY9tGU((TJh=
z=m917_KyxrAkrnLdW(-DJ}~h^CR`84M73QHN=xBt#?Mm=Zc5l5c-8FrB|Su5qiTN(
zlE#43kL&%;%CHbIxW2Ys4|bQ%>1x)=z+5Ic>7gS9dR*)8{}x}(ugZv@0m5>KZ8QIR
zY6BIaqI0Yc;WSKr9{<wQCI{wUpPj!$1-2%NYg<0kkg68@_F0BJwC>eZRcWiDcD!Zt
z)K-0P<sVRw*{pzax?!rLpc-y5TItUJ)JJK@u1EUPir|!W-M#sX8Z4O0)XOsrAS!>d
z?eP~yh+g7tP`s>;ob47~$?FXfd!X}bz-=Y0cO2PSOw+)t{m<yMHAa{fxfQ&5*Q&1{
z)OBmWtAPtcme0n&7~z_jKgCai0wWWhz`HXVxLVf`OKCI)eQ$O=%PJ42)1QaES*r;n
zR)_019+|*fB*>xMmx|}iRi~T(Xkd)>q)lkPDcZf}wYmnVsJ$K3yYH3;x?Vr4SjsYk
zH#^^@Z!Rj>`nxRMR9XX()23-o3FgrMRz@$)SHX0qvwV@SI<EU$E{N>1fL(2YZ)C3u
zPBW~uy6#ki&yV=KLMC*)ai22gpHjgF9!lq!sVbJUUJThR(!uWRpe{A40^K)qKE~gv
z&_C|PA?Xf8?N!&{t5rc^k&5%J!xWg<sO&Dt1^hErOkBfNFiid@{%%AGmR>1b<8OiM
zA4E?nbE+Wr_olr|PKsEJ*>F(*FL2OP-l{5riY4u=rtlJZeC|;+_E=+ydw=`a&-YVs
zEa_v<-0J^JWQw;H2wNharztd$N<qiZ^Cf9w(pY-Xy=j@(5~O<T+HqfHRA?Vh4Aqf<
zQ2SWH#W_H{+<B}aK?&ug%prk9QN%kv=$q&Q+;WVhb*?JnaN@lCJpp0Z&No-wC<5+1
z>(25mRR9q+RjoHF03UI7kF5~^DpD0_FXS<JIC`vsg&+B)1Bag*0hWARcQ^IQ;ezD1
zdfv7*D2&{wRX<Kg?V<bXeP3j8<+l3%9kM()2%bKgKOIvAl*Z$VG8pko{vt8S37&?u
zE{|6hU_7NtQ#vArd9l1*gGL-^<y3!UqGth-2}h#?{SufFKd0?9!G^%!5?Up><~V%F
zxln6|IQ|Iq=%#V7VQsJYh{8WJ43^e?+sz<`a38LHi_xqI_k0%77+{9jEVfMtt3;sT
zU%xKOm=(Q7@()v*Orew5<j!_M7&kX--YPR^g}topU$u3n@DSPkEclENYW(+gZ;fY#
z=M|nG^ou5#ktubH&J#q#F2_>M8CC?9<;h#HnP8uE?iJ##0Qy%bGK;xvh<<jbJn@Jz
zlByoYWk?I)=cAP4MZ4M2(xO`8y_yRN*X?&op5jM|=%KC3TRAYS&r4qpFv6bsGn|LG
z`C%AmIbj#hiS_FXsdxJfq4BEw_O-iwm}Kqv*I2{_f6qm|Gk%8Pic$GpvVAp=gAWEP
zGV)+(>6A>{paIq%oc;ND9UnqpF%+jn@FG3OY3gpU0emEO^t21};iY7F7s<XB5h;H-
z?C131^DpF}tpFbkKgMj}+R6usosYVP&getZ!R_fbB|dDpr+wzSH9s;845CUE^l>xT
zDm=}R55H`BxwTCNu(6`eXn|Pmv7;FYey8}b5-On=Vl9ZfK9@OJ18J!6Of`?{=0idf
z^^=^R5Vkq-EmC=CP#N-?Dlp|oKdX_lUWzd6T_kFsSLwm&!rbBd$NWf0`PP!wECRlw
zE-kx5tGRHEd*RJ$J}O*)`dCs*3>TzlzNu^LVVkE6<Hvph^swIbsX8H!E7DbMjDK`-
zK&m^K>w+Lo{w+ME!z>BK<BRu$8g$`hcPlM@s}Le8_OM9gN`b9xC7$PsE-LrkS$Ex7
z7=K0r>fT$+z|Zt+aph56jI*1XMX8J6W*_H@39}qbTNmHj2kRo7RgG=Et|*EQ)w8uv
z$f5f%$LISybkP*<`bE`640cug<yIr|p!u>N{jpmYv9AJu$s7}hd!qr{n^6VGgdCtq
z#_FPKIkxUkg9M_sT~BuVt%!NU`Ldl?b+IT?%V{Gkh050x`ZQK$cm}Y2n}4f|v38AL
z8`7lFecbV^yA);B1GhV@5z>Qf#*vUAURjup_M9Knr^0YLSE@Bw50W<`87f`nkg{=m
zdCDp;Z!^}$+P>EVXPkuQ7g>2c<xLA%4p7DVW$oJmn`m&V*u~8BXVsUqLRMTu)F5Q~
zLa1?+h6XeYuWwU8+nDY+xl<h*Pb%kCW$I&)Q`0TJSP`b#;(z<rYv48u{{_BPuT0bv
zVrDq41l4T;{?~Xl5tyNDH^1tqU$X??RQM~y@y4!_yb?_ud0c&HipK~kgO)FpwJBgb
z<ewI(sD=JN*O>BIjPWU<+iTzKYELF8(M>zG@Jdy{<}IfQ0^>g33c5!{#gnZ|`}S#}
z?G~5ACNWdIkBq5lc2>c2@gzxWeJw;!FZ8cdH-jZdxu1QH3TlSQeVo;r*xo6#=a!i{
z5}aB(I_y;OVRU`lixmxA=b?R!wzI$o<D>nx*{UeAf3P6Iq=6iRyW$2`bgVObeuSl7
z6?@$@7!Ee6L8jeVdbJ+mU7?+EM2jk9Urzb-ZC1sMPo<<!>}t>N37`%Yse-ET!17}y
z6&>83oV(fqX_=ojhC!;>q^;p!zNn1fyUFvsVwT9+cYOKes@I9;POJB-C_z+!V?@Kz
z5=(iJa|;Jl&{?^Ty5g(=)wG5o?+{Da+|aMBdQOF_agAkgq#RsU4&UvIvP6Hx^ibU*
z1ykb#1v|D&LnCuf!=1yHI1o~UYpZ*6SI@FNj9CIENr(Maw_8F(eeR-_x-w4J{5L{;
z6TwAiO0t@{C4!n~u2yL%;RkKrxn4*JS6S~^6|d&bwEyunEEGks#R<ALX7S@{+0K5V
z1DO1E@aQ{91!&M~D@$9~AX;><KyU`osj((MOh6u6oVykXQEnuC3w@Hh0T8<PckmIf
z98?DVE0UQwz(u|7|8SO$bk3u^1@bbm+dz>rO=888uW9`$4?1p#`sFQ{Nuh}GWE7dk
zjK-t4lf>>@;Jt~oeqopdF4FSF%7vJ)mm&UeFpC9d!^h9H)r+A(>|y9OE=Cyda5^mG
zYmQj1_Q~?q`(;_NZ*&M?fN{aDg4j|sJbN3UUsErPQ=>kuT|5jp!g>AHQEoF#2mbn!
z8NS+s9l|Q285xjhTzYLN$P|-Vx*G1bg80PctU60$K+jFX6~h-M_-cJDB+pO)A-|?m
z_vSIcmg98IFvSE;Z|+->_WTHoXl3^@V1&d_UWZ|-F}5tmmDa}aq0lk;_xV4JFd1QF
z2%0rQ(XI8&W0`BAGIQyk$_FOY*OW6}+F^vV-;CQG_O5})PJ4fkK4u8<XeG{c7$Rrp
z?k4^typVd^al`o^3-UR3{5WrKi0rL8IZw)Y&^~N;%fg5aY1=e*oqlcr@2rC<FI9NJ
z8`yY2DvcegnTuL8mIhFYis<5f$qmb?TSUep2R<lXPnu}ZM?{t2hwxl(D2V-5`If{5
z_1A`)7oGH>HX^-2JChqrP9D2QDLkm0=N%R5r9n>4g{S%nH}3wJ?f)>$3&D)V;?!Uo
z4sF}m)3cge9CySxchs-N-ebrA=rFE&ftGT8W&{rs=hv#4^z*?bdjDGbRXt><4FG(+
zxU%>#P5Bo;?ne3?nX}MC;jDb!@prtqe?5O$b*&)$C4c&reAC52)8<*@$~DlSEiIn6
z7D8FNgKO=DRjx7y&SW*MMfDj<T}i4iIt6<tFWBqie*gdg|Nj)1cRbZ^8^@8o$sXC9
zW1e&D`TZCTp`<Alsg#nC)Q^&_NrY@IN>oZD)cKYQiJ}xGBvdxp^YQ$9y{<p*`*q*f
z^?ASL0zdNwhYDjURBT^szXZ&=Tt*&pFi_0vvSv<O1UIgwM(**Hf*9>5@AX<bt{%_S
zE*=&^{mc!~lcUnGpL<N<OQGX_jqp3^YEcZeyoohQm&Ln1#=#Gc&{19c`Dt<SN?5Od
zHWsm49`}B(IPKv;ht%oGkG!Q~Xp^fl?Kf9IKBri@s1Y4(MXQ{18^qBmUhVraT@l^o
zH)TI*)3NJL1^3*71n#f<wpk-r2@z`XN8i)v5Zb^zc*sr)v-ei_23IO0W>)0gYFj#H
zR;2u1byFIj&2n;ocBr7tv}5n}19S}U{c}%LQWp0tzIP1^sNqz{yuju(Iy^+>ID2l&
zVUpX-HOo#NzqfCm=<1+j@Kr!ho!u&=yQu7;hHD_Hog=u#jDZU@7W1Gv1&9cl7%nj>
z@DSLY`mlfj`dz1mpe{vR`J2;|IZwqC6aJxB`uaF+`Ej$w2PI4frTscf*8(H;dK2xl
zK3aaJ2w1#QMxd%*pX?586bA5ZD!*)i(7nP_>d#b=zG8ms&qF%MTG$+#>0yZW(4hm$
zk5rLxX3O{vH(l(MJeqsJ(Fm6l$9}!cQ^VRz$_zJkJy<?<<*nUl45xec=G-ajFnyvJ
ze2~<`dyCT86NgN|n`gf-AXo!$oh~g33e!;k=GwdQL{oIw(UJr=QXsAP-(R0qG<dyC
zlt_PPhNW14sT+b+=+Y`*JmR8(dNZRwmd66u@`4P%7E>{N_t;`#q8<V~w@);#v&4}1
z<Cig}ns5usH;#C%i^pkq@G{H_ZVye{C(|`yrJ2YomZyVv^RJ#8<`a0rR8`adtcj_P
z5_3BXZ9KSOzEfm3Ai1`wpVp;`uU>Y3+3}iCxh7D@_XUV<PdK@$N)wg`E=K<=pdiYd
ztHIO48V|G=6YWlF;%U6vldK$dSR8w%P<GiGfe!2X%$BGK4`6o;4_3vc6EcCBHP%QP
zxK-4&n~GxL^v`{c%82rk9LO55hMRH0vyl`E{1ZAZ`Kc>nD_5wv)vPu2&dBCQKGXnT
znqb2ORSuMnTCb)tYj^||tTDN-4k}mWExC142us=JxV6O^^xo}x8YybHJpbe2+cGhH
zeW`p>@4hwG*;`k{_^BeGY_=^mRs>h?uI6G5v_{wOjI2F2DtQ0$ljF$~0vNn>x57`)
z8tGS*nl_0jqwGQ)UHlF=eB#q(Il6#!qaqIf<^M+MWDZVdvm>xGoZyKAjO>5STLmh>
zwXlkx?!t;LUaf)ChQMKWp+9^k@&G9v`F7s|;kS_YR_+M_F>ZquDiX42D*vhY#&w1`
zuYF>T@vIe;$PZmpqS8p$dbObEIZ52SZ{+DuSYb0$$)toX3D*Q(ae3EqLaZwFs(-X4
z{#X|kdj^W*{q6rgd&~VJtS|b-_}5#Y>tc0>VB1RghVI&5erb#dNM2dzB4vRV#hS92
zL!wB(*%K!aH%164E&hGvWe&xxfJe_|L?9|+wRw^2AMsVIb;VSf8BX2!V%*;;g!ZZ5
z)wMnUh`O!siuMVap(DAC^1M+1KAn8d+7c5)rM#Z@s>7!EQ!^mc&(4p-VLn!B7bgkE
zi7`R5S`&mNMWiU6<b`->foq}ZG~vF+eEfyB2|De6_jarDpkMAz;$G=lf>T2E$o(W^
z99jD*u9BA<liNN%wosiXWQvQfvauQ?&^Y9<of;P&UM+6GwnaiT_hxyyzY#w9*qvSD
z&xyZ#GJ4auv7lnh8?#TnhKOVdDXi`1z=p6BIR;6rsNX2}!(n-@TLpai<rA0dXWpGL
z?`Fg0wcC0$+6|y|?M{8iUJewDpLlj@EjupN-5&JyFhF%+t|6x@2P(2<uZJ-?U{F<4
zsPkJNURQ2-wVmKV;N-;JRwphT|5sEV6rhhQLKEIxPdV^SX@ghkI5#d<nC{!hrjMF#
z>%UR5oCtOL&>CIJi&uBFu8Lh_U^Kv}FaIVd^zbovA(<a1yAA&q(-^2&cfL;1kqb6=
zqA!Z12tvf0`(NM(I%1U5?)OS^W8vA6`iWh_5N}S)N;yskpU0iu>o|Gf=D)!(AVLHj
zdGFfy%hMs<9A4cn$qPl7!3~zrMPdE9B+IOxh8qs*?H8Q*u<v4|zp9WJeB<hVL`Kp;
zd-CV2-(7y>=ulqF|0j;MpQdz4(4e<tNAws~5S?q?<ujHfz-gfE8O=chFQx<TeiA~;
z`tP4>Z%Bc$+hvwLR}bvlX{CjqgkhQ9IBVu9gHzvpt2j34VYWYK@Z={ESnz)s39^wx
zT5h@8FJV2z?OM<^>JtT@-|g`?wyWTLRlTpQR~M(l!VdLGiD7(vTgQ2QMTqYkxij=x
z7aokg0r4K<NL*jf=e11<>fGO6ShVXROR+4A_to<GE*cbUzo3j*`>_2FIrMPGmVZXZ
zN(w%l>B9{TDu_$sOwZe(2iD)UPwkqearDDezWd5*c-k@@)>x?r-LMsmvRGNnCwK%Y
zMyW$gh7u>DNrU5V6+wfo^0@VVh0vK14H%yLC+L2Oh7uJQk1h)ZoRd&EFS4JC;0uP~
zhq>rDxI5%zYPKQ-ZESPrTQ%|Mv+5hmEINwZ%O5x8D?#bOZWB&NZ7}u9-HSIe;G0@>
zY5NOhlwM=03xBMGhzHk;9ToK<%dVeP*{XtV3a%Gz*!3Vq-cwu@GJs8f)5XqdReWeV
z#<NwHhFffMoMWpDktjCb^j%UNG`|@8p==tWJ14HJUe2$?>oKQi=o&EBKI)jrNk`3q
z@SE4k#(1<dQ0uuh1zinXgKz)O4ae++A558mPxD~=45(mDUD&Ye5FOO7PTuEy%<v*~
zlllTh6SKEt7l*dd(Qh1`CpBme5B|vOAICJ|{ek`5sg-o-zx7`q;b)1;dhXUM*R-(a
z<7&nB3>x;^nnz>~SmEy66OCqJZM@<nAAji7ga4)eXe%vX%AJ#;=&B9Xa6V5_iY{EY
z5MHT`fT?2UE+-#t?7t%w*C3^hgt)_J*6z2)nG>sT4X)KjZ}rg#)ha4Fiof}DbXa3?
z^K@HGzZP;B0`-5*G$3=ec=KZ`8(c}{d{D4M3wCd~B&1SQ(b)3FH!j=;mVwSce<y0<
z8bctLqhARL*G(H8@7Q4AwXs)Z4i!0<c3j<-wF=LVvso<^*`V5Y%u+R)g7u4c?GNWk
zW6YxG&8O=&h>o-R>gJ#UgG+DT2@8tDh;!4c*8gmf5n<Y|Gph#fBsRg!Kf<s-yILoO
zSndy0{h5`fisVfvCwn7#A>fp1T|QwA4HcdWN4g3&nszwUTCk%~r1i)59BW8>%3jr}
zQNq(d+uyw!ULbhyxR%&hTcbHEwbEt3BHHiUrP*$rAU<>G8P>J|ZF8e9Zi}yiL|>oX
z`;GykbwB?^Lm)s+<P8cvD+@FBYxOs5y9j9kxmFWCpqZ~}ttY=Uh6)uO-dBGn%s7rp
zPS_BzbG>T%h?GD`yVPmoNEJ~tDwDI`-wFn!gK3N$F<8_+><|jMO&AIN93H)C35E61
zH#g>sBA~O0N0Llt-m4gj{o7&zgT@cXoI8Y3Sx4)Ib1w7quA@HnD=qLrBtTRrTo6yT
zd>i*S%w|rEje3o4HiyVmrE2aqKCHX0rqmM=M#TS(_6$lhgOP{Uor8<qpsW`>>h`dR
zh^hK2<JN78hwQ0T<wu-|B8IHrTzE;;PQ1E%&cJk;gDdjH3)rD9^)1|8^*yoEB|P){
zc@y|>tn=CMn+;yS+?pQ#{6x%YHoIzeFV97V--C}Htni7JjrS1xMo^5y-Ry0Rq3*a*
zqe7GggFQ8kq39$6I(+*D?ik_Ho$1}LMiz*X3cccEiNA;?k%O-`3K_wWi^r`(W}X-?
zNxHszx|c{#WBdCz#1N@EUb~PnOVkA$t*$uMM=-4R$X5&)z+`~$MBm{V;zIa1+rso9
zQD4?Il)Kje5tdjKkDMk{SNRml)r}AwF~Y@HzUf26R*%v9V~Y4Z$tQFxcZ@ji?RMnA
zcKzk~$c?uPnj&^NT>V}UH%??%=oN~zFi_`}fFEn8h#P|2lJ=jUB%)Fa;$wC(aB9c1
zDCvz;gv1KQ-&1MRME;|n<z?M;Jax_)kvcy`+~zD{uBe(Nw1)M9ulv#A$#GNd-oGiL
z%rtgyH17g2DLg)9%0fr<y&I9Xm#2vXrXN|`1DA;Eq9a$LuhL**B4#+hWroNc7#+x6
z!HRLGtkvh1_iABb<M-(Gv&1<6yhQ0fHe9-AaX<CKGGFgg7S!;aBic4?b;$X#0&HW+
z^HtTl2wLCEEG6d&(Mgk;q(Bbbah<Is`E}tgp>Q+Rc9Br6FQc()bD`e4$GqNE2UiX>
z29!@P5e-@An_{_maE3Q8%<Q2y+D@KZX+O#WRfiWzJbZk3&utoUOh6lASseQX+1Q}h
zQFJWNOaM`?)Tx0$Eim_bb^Fp*;AgPt@QZXI<bJ@HO}&~ZKR#uBER-EJmivCrNQxj$
z{nvF5Pfgg{>?_|k#DSx$#@!RnibAnNBY~rjie~Pd4G$u?;NG~TTEr=aZKwU-><*>k
zYo3%IVZ{TVeVh9x9*U#?n_C!Dk&5#{b$^6Z`7k$c*(Vq(3FU2+%T-Mj_&K~Sb2k=1
z#<OQpdB>%(_Dpl##$}#1nFzJc2@%5kt*mRdT$P2LU{}-4qZFLTW@~253L|M+vpl>*
z9;KG|0zBL(fR*fjMJ}RXwQ^5Z(NRQ0iDz-PCk4tEPqQf2u0+#0<%`)7N?4f~nK>3i
zfoQyw%X)Wl@KwH_$r(|GYl}r;$a@OzU%vdbSwa$?+*xfRCsiR-GPQlcm<sBBr}J8)
zQdoP4eo#|f9UncP8D4Ing1yAsZQHO6z<S)3QLBN0DYjVS6iuvG5I*o#L>|#MYPhYh
zP$9v6rokpz3ytX?Wdn97U{Awtli>qecs4OQ<=&)?_x@qeCOZ|8q!!z{!cGUfofeba
zw&=p^qs-+VHDzq(t1DMj)`RQfeZkIU4?FTmdfnV96;wBC##aW@5K+?jilRtIoAw7z
zldq~^ZVw4}-a*G#mfP=icQPQWSS5GHLLE=qcw$~FG4QdeK6-?y52Jr&$%k)gz`k?%
zT1PztdqOjtUppHj_F7`pdJZan&kufzanZ-#?xwKMJjOV$=G-B=Qxl6ZTOX{+)yLGP
z6{cA|%RJoC>lB-+1p^{cSEf=Q8SA(6UHfi^GkrQHk)_%w_S!D%9jA|PTjMv#bXq_a
znpJ-JI$#y%u~nDQ#~~m6=3CuX*b-Yj+2^GT-%9a6J<bfs#d>h8@d4gHUvWIFXPKuS
z@80+nbkP6)keA+SjZqfI^ay!9nAN;JDb}ioYtJ$!p=yJWQvny=@aQ4%uXN2IQyW<+
zZGBEnHdwD3dXI5e7ZJnfH$L04>~q^of(l)2QP8^3vvO7kBVxt#-Q{X%bQ*f1`_vZV
zc~;-J*_YoV&g`V1q%w>yjcl~-vqhvYGb68F3;HMa)bL8mLo!D|rfJ+3e7k}LnmjZi
z*QdI@>97Ri&5}jyzS%<gFr6H(p`d9C{bKS~VSHG%O)Bb!Ep}v=d2owrU^e-%Nb_$F
z3@v`W$hFZH0Z!HL7uKqw?~U@iF{c^gyM5cSfWI~{`*D}G=ftw__nEi5<o_Z%bCVAT
z1=%3&_(dW<R|%O?f3~Qwy=Bf9>P~abSz}D}%!b$(3Rt&J)K0_WFEcYiW7H_b8fG?9
zeQP(%AyiM}dW-!yvq4`+gE|XrE)YxgS}6_V{;*8bUo%Xty<7Kd2LpeC|9<<+A%S;j
zx_qH=f%&80l61k$vX3VW{b1;=gr9U+Q8I&tth%{*zda{`GLduM2NHyl|G8t|fqyLI
zx-q38XIU$BC9i0^<;ssR-K78l2UgNVIs2cPsU_Z>GG}?h!i}_-=T^Mg!b&FW^v@Rd
zu)ubmRhN@jvO_a|_{Js;Rx-y@H2Z42ISMQ`9o%+_1!j_Rn+`RzkQZyLx9+Mo1Gl-_
zs>$kEVl3*^T6JF*QggA|Y?#vwEjztKn$#wUi!WSvE6pu2-`-&}uX8fRn_1heQ_3TR
zb#FCAS!Rj3Izgx*Aj1UFrCzV4cKs#{*%bpC*Df+oXY4igA2x<j!Hm@6uXciGIOVHe
z`~q|P#noE7?TxWxs<mZj<45A{#uwuL)AP)|G0my1cb9qfo{(I){3BwQWO2>4^YhG2
zPS4IK3mAbM%fA!zyn@-n_>woXW}X?lQPaWUq#=%uPITR4Z)7rdw_bRlKhG=|7~RF}
zF#yYz`~IQo-<YdhMq39q%`@AS=^L0k3}AlrcvuGUlZhK_AGY3_XUZ3<6)1kx$BFX$
zUt48*n3O%1LI%_YrW^_dNe6wL3!#bCmHuJw%v^f<pnHMo^h0`YSRDfribL9ORR)-v
zh5vmU`?AQCf5@?J{W8y&dK`TC(QlYJtg=7u9t#T@f5Weu?<*adMyunyw~jJ*F?~Zz
zAG46RzG<&4^Q1#D2y-<fW6X)m!KafWSjnTBBJpd-Xh?j>X|O7OoY~wmwDp8P8yToL
zI{!49hRpmlku;-8X1UYxHZp7lIdQ|Rg<qZqJ|6Cl2Ln?~U!fFf^~dbw74=Lq$4?LC
z^<yP>OJ|tBweE#xaB-6Mk-~RX9_r$_?D4-PX>&|@NiCE8kzAyoLeJ|j6FT6Lp&eUD
zUtkiq7mHU?cu0kp28Hv>`}M7Pg7E|95>w{>I_E3XyrhZFYWAT_Z9EWkr^j-#lCf4(
zeB#smWJ!YCKiNesJobE$VQ0riD(-R^rE3b2*CG!Yi+O9IyzoZLkBk*08Sw4Efm&g5
zphbTnx_z0y_a1pd2y>866(7IhkrgEg&w%)~?wYWRw5<5=HYfS8{s+_U(n@lsD|d3&
z02NlbM-RSq<0ebvhtvWU#L4xQtT&cos9;II^60oJFWJTOGJ*fA1Zl>Wp?Zf#g*{iv
zIWcQ~@^<}<`Q;KR((|C9>dJl!eD&KB9D)SNm~n+J-{&%9<GOsOZDkY)B#Auq^%W)$
z#y#D@KPpGoWRE*`rBh%S#l_`ZDMB7KS*VS0Q6RInY}%icOu^po(tIWAE6HuQju^cj
zRV2r{KFPc)pn$NhtUmovjJ(28#F62mOn(1WDZTn91qwB9CB1h@ke)1?lz!H!keT`K
znxo99C~Di#&ZQznO6d<?7vHT$swg)thE!6)sO@k_7M39`baL+XvTKl%6Bjy5eKaw^
z(4A;jk|SRa2HY4UDde<gWzU*TS}>s|WdGi_itHaQCeL2hB<CF8@5uAh#`=`#`N-{x
zq?Ab4I_(46<cMgFPfVi@@})U$P?D6$LlG9=GN4O#p8fVQELaawgFF+Z9m=Fxy*9fz
zAB_zAO=101M#H2|xBM+*RdUeZ&Hn2EjeH{Ac3|`e9gpG)-fT-%BX3?;abdimld}bu
zhvaqj;TOm8oo_*%y!m7@Av%abigrEF@y$1YaLSv<kK8GwOK+907Qa3@l=`GjV1p4B
zeV&AOmr+TpVgH}Kf%;^r#DxuIk|uZ?_lIC%(IOpcM5Zt0>5~mt4{hGGWD2<iskhs;
zw8@vxFJ%9@rcdsTIa*yXYYt%@MqCO_hm_oG>RD^8PpXxid4FTx5|6Vg_iy0PC7(>G
zZj`^yApHdyzmq2j^jJG&-^<Y@Z{3gj(fgQAeh|uHH|PVd3o|rKr*z3CSC_*rp)~Ta
zq3X>)Ro3`nyu$nuhaP$B-ka~WGP>l4_30jqXKgT@cq${kT9=H9q#5mK(IkT+)4T<x
zY*8<vVE)WPmz=Mj6HnQ$K?cj&y>E%N#mMJB2dIa1$m5O9&1WlB$lvbo`>)sAqR(uc
zOWj$U{2=OCv{_S;EZwA)$ym-)^?EUbhy_jZx}$YNW0*8~a?R1GtDUxp@d%I}2&R&?
zO*4fRdMnA4;Si6Y5?h2d_|!^#)*w@)St>(#_{h`wRRULhZE-7QyYnA0buzH1^O`V)
zmDFz4{4^wDi-Vk}TC3Knl0#AjE#6l~neIEKzWU_afUEs<)Z%~2r1NE*N#bo_<|-#S
zJLuZr_1<H$QI8bKIG5v78}Wm%_7eF!U1W`I+OKR~2Ia}Zk@WgcUxtaZfo0_jG;6$C
zGKpE8Ekj1;NwWR)oFp9Y+L)|(1Z0L^`)e2~NqPh-p5MtgM{o(QJ3q((W+kF&4-&=5
zmBEK%n~WBTxF?Niv&RS=3N_i;*e*iqRr=N+mSRDF!<=GoxD_gQj;xBQ79`z6PCRwU
zX2D5WRzHtSOUwleRmj@#l8Ia6Y~<guz}ckEGLLD2)zA1_*)%!H&5;$Wjz3`mw~4-c
zM!z{)g0-ahg4xJL>7|AH{w&CIi#8clFvsTqtU@BUFEZ25=SLq}_CnFh%T-#t%+R=5
zs`34?Y385MRqQ=$mxv=DYCFE=m?EyJDlI|hAJh5*^<(<pMWRFf)SWYZCdg}iS+bUG
zkeL{=vehnPfshh^zAek#1Y(sqIaJckynS(x)~?cd!o1f-s6NpcZ9}<*H4ncrXAX4<
z5?u4dywKw5f?*@1MV%7Y*QsOvE)EX=5;8|{8<em5waEzFi;nEOv$B~E&yPG-k)9*A
zKK6b^eP)P5v)u}xMPCx1oU6j0cFht#mx_`JHA6IpC+Y4SYb4D4ZXJ>MK1&?)X%HAn
zHUNK*K-t;T-w2aRGj~4rIbv*^-A7J71K@T`(;tnWMC?=D!TvqV-qxd5;u)onTYsAR
zf@->nn{Ax}9|z`$d-r2TI$8CR`Q)0y1KJ<rPr>E$%m?#Co{_w_S0n?2VTbPx9_uGg
z9v*G{lDj~3er&S*!OeiNboS33NkhcGAK$z7e_AAxH17UqkVwbf+jIG0%_GE%`7>4F
zax5s`>NoDLK*xnGVzJyFV?@RCi%DAtSRnafV9$;s8oqN0sss=JBbs{IllFdNg)0&C
zpX_QHc4h1y!}$qf{m9vJ$v<ppJ3{vDsL;c&>f-eYj42|F;~<}|Bs=sTvU5<!b@79f
zQ#52`n#gcp47=scfyoXp$!Y^#*j|f>np@^5E!`!%*FQNCz%}jYc}52tWac>qU(6F%
zd+u55L~vuSD(j?qgEpv_oaZaPE)qAAwU!#3c(Gr>x$BOGHfol%YQ!(I!0?e=-tby}
z{1N9V6}zAX@0{+UZEsk?Y<knF6(|UYC>Kt?NlhI2*B-E6as?!=r%IY15yqj@QdtJe
zx!`hKC08Ye9i0w7yceE{V0}?&&fY;P+=N__Eyjth1BW#nHCE!Rl&^YxFclrs@-v)o
zx$ty@cj!Q=7&bL#cMpkC@$$rZsfsKfSe@BU9a-jc&ig&X!_O%&4*RsrCWjBlC>vS(
zS4)B9|5?87Bn7urj;(fV5Wrux_ZN<>mjTy!kOiCVa{q44r7e=e$USX)e>zwWpGx0S
zqEsl5ND3HJ@)UvB#=wxe)>UBIb5Grnr67a${6SQ$DEQ9bKYQ?rBGPAu_3!FZ5dX~d
zvCl>^ym0OQS|Fy3>3j3`-X0XBL^aP8O^D;xzBNmumsM~uU&Vi22?fHI{%o_)C822Y
zzWA4d8kUlkzkoqSgh0*r+xgN^H(S^4QL7H^p*qvvHY)Ch_OfI@lSTHd`dyr(ASC&o
zy<3GQ1Rb+08AI~8(sIg_+f@?_leCW}pS9qnDInpaqKKD$w60VmZG3uH^~haU2aS)b
z-u?4Xf*YS_bE~v2-WGi>fACQk+4<rpC=Zk&{Nf15ff+q0{ww|Ood*q~A$PfNajRm%
z=5WG|ZW<(hzY(;Iq~oX9i13(?8g336&+dCpM<+`X`<X@tr1aH7{lBQAy*H}ZC6s}Q
z|L}Cy!2oa9KYXi2P#`Ilo^wZDAKua1-EBq<@jD~_(EA)JWHT27y07S?NXPid@#n_y
za6e*je^?W|$G9G!tk;Lb-q_pk@=f7w=kb$EO&fel@lMxkm+R6ogj=CGT!dG-Z8luK
zpUKR_h%@?#@667YD6<4-+4<cc#C2h5u_E8On}OX2#{`Mz1kB>T&`c|Jk(8EHy=8$8
zN$Wyk&1S%Rt94Pjf*wjf)ivFDPXl+|OySc~YlJwSKOk$Wht~<d3nitx;C)2rp9r==
zP*hMr3A-NNImaaq9@T<Vd*1;LSzFi#uu2q#>q6KeDEfA%2F9kfHW((_LR!d5srIoB
zPB0fUe(0;BqOkChSGz4F`ul^}v$gRySN8ClONz_E-aM+rVux3W=?YXwEqI>n2q+Mj
z0i*FW&1u#at=((7S!<}^_zc?Fq?Nd7!&{!+Xp6yXTRYFnQ}9J#uaIF79~v0ah5Z+8
z@mgB_MEeeP{0{&C|Njh^XFS$@6vpkc_uku$8@IjkJGP8MiIQEUq9vrI5{WXN3K2~+
zm8c~7|0JVi?~v@3Et?*1&x`Zooa=L4->a<b2{{B&!_S|QIp<YP!F?kB{J>2anE$}*
zU#&2QY`v}I_I)t{`P#$FX0N5->prO+Q4Lints$?M+S&w6y5~jge@Vb}JZo_Z^b<a%
z2LI%0jp0Mc??`7YF^H(94PCoCN4V$(7liCKhL!3$+83=tu;Rs*TV%09RF@7n5Y+$+
zq4X8IpYen8^TI}R@l7InWvhJM62QKbmt8W82Qps7f9=qw!ZO~q2bLco$W!}S6fwvN
zfpk|^RDl}j&W-tUW*WgrdsFDyLN?$KA?GL5Q{$g`c30WUb^*t3Uhg+tOrZ9AWQ<Hj
zgL60=JXHD&LCi8J@JK&B6!!Jl-JYh#U%ewE?HCQAN8MM%Mu-MpajD*@e?^Ts`~p(A
z4Gn;zu924>u!+2`hzM#sQe$l=p_ZK?`oM3M(zC;38NH`mxR5YHg~<*dOmaTzK}X<+
zeN3x!sBlG5x+a(kYe+1-J58$x9}U9-xt%8vGixH#er75h;B;c4f1fT)g|8ZM)b%4y
z2gesaPX7qDYd@dg&eZ{KMQJqd--?DlddS}@+#*`V57X1{(18Q&3NtddJ|PB8?H)(n
zEh6lBg7nHUZ74PA$;@jnBHo@n%*!&qN%*8y+wnJQ!594nzf#UdqN|C^@W!`If<4!V
zL()(SSeqy`vjbg3f_1~G;GRu_%axPm*Go<K;PUId?1_Hjvej<SG3hNr((8SLxRfT8
z>|F|Yczc+rr=FVfeX>R5?K;#*q-uazgidOQ_c*ahWK5VH_(v3o%HK&B)Bvko`=fUB
zQ-p}^wb&s^DtzX}`tZ|Kb@=<$vVz)pmT0*XE0g<<3e(^VnI9$9fzHSNUH`%yasMz$
z5d5g|&`lZhwmb@i@9G$le7ZmshmdvBbZD^gmPy-`9t9i@T{cp5{7c-dG4dFdr^N>v
z4=YmtP=m*7hl}W#mWc#>too)N9X6#KQRenm16Q#Py|WD~M4YM6C(%H9oEP!D{P4Dt
zOzM2<x3boV?^Rg*Q8fd8`NS5!X{y5D1f=q$Y!LbE^pm@+c4E^?1EI$kR3NUygPJXS
zizq!*|0sH%5!Y+;URS6lgY+F4BppD7MUOoB<ob;n-=Q<TOo)<!B~YDo{~<ND486!d
z*uaW+<@S1XUseYFq=P<EeKhzgmr;8o9S1&A%CW#crUY-Sw9jPjqQgqvla^Y$II+ow
zpDVYU5)emk$O?R<$G<sTU#k4ah1ZI|v{m#f!iG=m-#hzv;6n8#_L-eLSlaZ8m&yr6
zh!>8W0B%McapYIX*T=kg;am5K2Mmf3yENEzXN3v(?j3!=?#7QT#6xahDIh`Y_j>Z;
z4p#il{9?2=2x5B?X3Mt$BnWXoiMY(!@$u%jrxR_3vHf|QN&8(Sn0Ry|x4w%5U$o1=
za3DeyuPD=tc1e-on;uJMt`Zl{D8BJ9a9kY!Tln%vQ<4Ni(Jh-RDctz8XE1H9ktFu{
z`}BRK0SVqNZv{oj@nX0>lz9BH6t1tT=m-oZ!P<01$zn4f{t&+9Iw~lGRc&^aK58RD
ze^p`T`^N(KQJy&M@myI<&30PG&Rr2=LcfRh#tY%(alc*O_VU;$RP8MlpAuLej#^uP
zCW6g^1SI7dN!a@4%kCl?Ww1?WieBsz!^*3EJ+B)TG4lF$xJ;1@E7z`k?n{=y+B>z*
zT0Bw4wUw{;{&!CWCaIU%?zKwdcdV5;dgoMdjl~8wkX8elFD0WOCXHj;E*!TJQ^Ti5
zVkT*%DezeY?@>M{gLO@)lrF8PVXj1e!EZL|fUK6@Cp5_7B~qsDXH3DZTEgiC=^9WM
zQ4|oaB9D)?PHdhJRL5W3EVzyeYk{wSQc-2J0_I3F6(p^w<KwS{tnU%pKuW81o9H6p
zK#fVBiG3P)ifwWuJW>~YiPC6WJ|(<$I$M?{R0B7<>&8AgrVs4}n_+HR%J|Ta34;Ex
z2Ik18c^~F#2x$X3&v%l^_>7aZQOK$~wn;ht=evUuRFrjmFkK*HzxiHk4Lfyg!7^mW
zCI-N*Cs9jWQNhl1hl_<=C>TGfzCA!^3=?&mba~Y(_&jylw`6fOd@a2|RlLm@gf;`;
z9Ix5F*Zz?EO0Hzg^HXt$OOy$?5m_6Q?L9k$&(A&-SHuNhKRqhsH3cjGjYZdSG9GGy
z4YhnZoK4Y{xpc`C+F}HzLs-f9aEu{Wk(@NHcG^nyFEIsKuY-$pb4qx$r6SDBRU8-m
z-b<6xXbPT|-K5bpMeN94G$uy~;P3CG$F;wh!hbK?FXao9@Tr1@8qF*&JoDV?>%xDg
zQ26FxOGT(WW^t0tv-M-bdRgvAJ#9?Eu;$hBOG0)#52%~`{!rmt+$Rp$Pn$sPm20sF
z*QIep!2msD!yNIW#gfzIx(S2?{C<+HC52B0mHK)HHWOmz8jfdKOhEbQObu^{1eSZ%
z=-S)Tftq#xe6EW(2AgnuW$8PjSdYe9tkB^Pie%f|`I*ZY!mb>0Uvm_~OdoBJrtDor
z`Bz`K<9h%C)5X45E&1^pzM|JqvVz9W{@a%>0N_9m?VYE1u*QYeyZ?&U(H*WACOZ)V
z*|&#(57u*H<6jbr?unbI#4%HD&we9dtDzF6)Ux45Rc&srs4ZmPz)@XwW*6)@knz6V
zmkD!rEUhKhZ=tA^-PHL>h7jHH@~>S00{~k<q`$UcwEpjF(iY0+QZXN^GyuB3!pz_<
z8m#c*{bnTN7V_WNDpKCihg;X_I%ur_5!?g8agnB*DB&^PRW5yfP=2)N^EqLapp&m?
zmi5>`osT`3<gV&LR5Wdo>cvHZN_XcE|I_QpGif++{<|*3+ZIReo1P)u6)!6Mj9f!>
z9u3cTit573Z@me#sZqjVA^4fyt5sCSI*?0!UI)Hpl;<<H|0X=i2lr;otRT-XPs6V@
zYr~(cbRtQxjo|hbP_T7aLG!zwm1%2fgQY2Js9|pfvH5Gy^lHa48lSH;`<bQ%RKMf<
zJwXR~yV%Q&M=qo8bI$H6j9QS|ZFHS;pd5YhkUqZOa~TE5xPIQepb5&p34UKU8c~)$
zRXlNY8C|ny4icKtfblaF3!}ZANMp7!OE-BLjpmfox*gMihukexe$0KSbjwip&dM?>
zqpG>{Y*-ykJCB@C%pO2JB_-F-N3Ed84OvP}zUpvh?dkRU^kFn0{4@E3`6{}ad*pQ8
zBn9jpciqD0$B?qcg=$mHH8l9UfiohA0{rVeORx1NQHkNdT$}yt=!BkD@emaSd}YgI
z*Z)o-l~5A9Q`QEGOp2Qyh*yJKm0h<p4$UGMXo=gcx`iTz=InxH)IfMKhl{{-$jQ^S
z>c;dxG~$KCwL(;Zyq;DhrM`gnSn2JbTA%`9@llz_FIB+)wgx&@xQO<v9RK0OP6N5o
z{)xKdWEhc}8{pl&gp{STE6&)^!YXN_iHA&v1rzs(+~s9d<rkZOBbN^R?{kH_gen8o
z`*QRAidA%wdvBkpDg)#c1Yg#!RRXV2Y1`6*bu{fZEhg8q1B9nif)-?z;OU8j#KWph
z<WKEg)>*^|K{iZ7W49FH5enN%r=^1VF?*KUQf9~+go;~>B=FUEzj)G+8Y<ibD*r6A
z!o#~(KfU}(U?v(b5*$whd~0{<%(OUw<lQ(bGo}C$=C*pzXy|}Xh9fB>mJ<xFR~P1<
zQGn>d&$7%9=wVO${FfVa+|U)kt+LLb0B?e+|NOPv0V`p0f8#QE;H*Muu~Uvb3^u3u
z{US3$Wt3=nxF;VN&q;jHKO_%B8BB9$^q7HtN1UgOwE)y#j13DGmWRwLTfaL&tnexF
zBa5|%5abcgH_0<{koP|Bz4jnG)GohH%Y7;WS|P(c6CHBU>-C|x#*7mpfc`=apE#8K
zJCL2*DF=1ymA6OValxY)cI$y{e*aE)^55*D9CRu?No2I-fyMFio<v(IczUfbw^2<V
zTKS&cBCYYltoKkxb*nVk#FgOnczN*im&oC2;s?2(e$472vcUc`C9YOT0dj9MTrjQ^
z1b=TOB1c^wtm_L6O<EOTP*l$N(~K~zJ3Mb6p(BC)h6)GuR}#E_#kTTOR}47VL=LM>
zZ2xKUS}%D{5q2NwLX7(*V4oXQQS~YVz5V1p@KJ_}>lzack0c?*omuTgn+gbO_Kv=h
zQ~^0%z8K*ZDR7crS)Vzg26DM}<(~!BAUfzY#nDp+-b1a+o&yx9S0R5i*h>KmPQ~}{
znq^@xuQ)NJtqyPVQs)c`)uBiAo0X2WJhXp5wx+YG4qP;L-^DC6VGDl!cESp97Kq9F
z+d0h<TYg)bK^v?u@=kG(6+!lUSlC^5O`y7$e63+x2k1W?lUR#Xf?G?GY(-|85E0QY
z8L*-UMxLe0XDXCI(P?V(sfH%7m6u)o%5MnYC_}e6JIEk==j76^Rt;#1cjr?#G6K11
zE$jX7RUrK!j$f11fSh~6-P<?`#<OC%?gvyM<D<|zwWvCnzu0tfQ8tFsul~Lh`Kllj
zi<XAIt3eOxNv#yO2~<rLr7ONy1@HD!YP$dx(7f>U#ivda81tlbMW0ZG|Acq({OePM
zeY0W`>cOVqd$j+#c)be56pp#Ja?8V9k@tl7s3}~we=%IuPlncyCw+Y=(m;07RA5px
zgU_uOxEu17;kD&3Z9E|cbDUJFE?@?SogUUW87hJPw1q9-b$$pP<enTQo58;5tL8^j
zNWgUaT!MKY2k7)VUw2zEg|+5d`i&-em~CeEQ~FB}r9^x2flO1#%-Z6YSdazpC|MWD
zlx4Irxo;uc$P{b}dXfYfWx&j$X0Ou0pJ-~R^GRj32`J^#v-XHd!AMyy{Va7ak&v{;
z<!HIh8;-k0KJ1c!FQ>+(Y*gln-#@<v&X*g5gBInZ?N1T-IAQlXGkT3E`;yvWWMB;4
zlW+Ck9u<V}b*`}z7b>iGO>3_09YA~OhW}GpK6o?fWq#y34G!L8suQjOaCq90L=xwQ
zqap7uW>3@N{3}Mig~t)NI9q1c@8^JG^7k!{Dmt8Ie#m$=#0V}iTqlX%Wd_G5y=Qrp
z>9NY&=UbL>yFfy4M_J-H1E{T7u}vG%<LMyw*U4`Tq40QH%f1gZAZH(u-@#9hN1pav
zyVq?1*?Py5{`PO8GA${oOSN=ZfP7E4nB4%_nmat^MVHal&W^qt$LVlbZ2iZRw)&v2
zc6LpKYYsh(@e5O+p~Fq<t;hHi^gtox2wl>lQRMFRNTec-7M~zx?~&=%1$6-`)rrt<
z<oj(Se6I;DP8tbnWmeM#lW04ql8mn?zVZE~-zzj&@|JI~Q?w3v`<kaYh!zo-g!>QE
zSJL3YTk+w^W7-gF)H(3udo!UQ%a$UMOM|uMxY94$X+!uc9@x<ABgS6z?<m-w_YO)|
z7k<!!w9SGvb)#XTmT+T<tD(W)(<c7V$ZJ7QUy|WB{|Vy9<SR3AdRlz$?!m{}shS{0
z{xO=QIYZ<m5n7kLXz{a2^Da3aO^~3`Im!NWjtCe&>5%-378hSCm@i7ufJ@lv8}HTv
zVSB|n{@`UgT*Lfk<U6+p9P4<n5zf9ul!$T^yxzY5lTUMXhaRfKN8Z)QuY4=S>LHCC
znbHi{O*Q73yR1408U>V<3a=3~f9NyLkayr26&c&kA_{aJ4MbJ48-y4s&gqidPOO`I
zzpu%P0*}QPw^|Lhh%Y@YUIFhIF+<K<P4|8^csZoM+gzOrN9!o$sOm7|^gq&XQm&|h
zjnj{O*?rXb*>W@Q(hv(aN`LN>C!q#*?-&$wZqQ(fnNV7zayHy{1|N%!Q-zXY`}F=Q
zT0D9zpu^9P0|#DY8+RJp_L1vnLwm*PvCW<9+U~bFaisP2iG8*z&_@?k`znC}C)sw0
zlPkIKbnzvMO(_|&ugNK#5#Ncwyr|?(7w5t8<)od8dSuWzs=03WgAw~3;#dAJg%^t?
zbw;v%RfflVC#9~YGGj@1sry@+{P@wCM{n%hm0=B49@rbtikn}2$ZKB^z&?f&o);OF
zp@HdM5C1E6Y`T24gT7M;_i$gCJzK2=yAQjb5#8Xx^>%+5oCZZOzuvv`o)4A4?CwGv
ziyjyDm}|JamtPzUG)}00k5Gc(5&N&#<G3-i{9FCF5(zxZFIATktprSA!|J@$y!eQ`
zQ&9evBz|>R<b=#iC6MD9E7y(V!yK0j{){_IV@mt@Behv2=u=;GBO3_dYda)}XO%Lz
zMcOK0<)AX0eEfLNFuf3t`L9kS%0dobRnd2lomK{!MAxq28DSikWgF+(DUU1TvNS3R
z$Y3e-vRq<S6#w(-&#w(3;X@zab<5?d0Fyrw_u-JhH)h@{D@Z6|-<We@6+Nm@Q{h$>
zr7nqgRMst%YL)Rtj#G~3v(%vY$I0YtUQ*b-tK$5}(<(Ukjt1Aq>lEPban2S>mBv{-
zFX_B#)$ojfH<Q?Pb+{1Dre@Y7gZG5S3O>MUSUKXgWMifVBp2!KS(A{%ZB9qJ=8jRY
zdA@^S@2n<VA?4?&9+Ag2#m`(HFH&%Y$mQ{7cWnrBp?gu4p@1u<RG9a=s$&!POGEBc
zI*{~u@=p2>5`H;5b0zzpI-Yv+eR2JP9weIQ@O~Ol#5dWVB(El`WB1QY55Md)fRO9X
zgSWesu+<~ZPs?8F_+IrF(^G=Gz-42pbx*c3zMNbxac`1>g@1`#7IYiIQBmW_bPF<0
zxN%|PvnB<fxF)XXYXK1Y%j70iJ{i-|Fz=W~YIxN%ZpM_|7|ep#FGseKvDO8LvA1$6
zxFC9?BX`@+tJ`#)50;W~a9L2P&lx3rH-D_E!r25eU5n34c#?6IS=Ot8PzC(Bpm<cR
z&IBHPMj{$tl<^GFoOI`)EZ&qn4FTe&FnY$Q>Gp^ccKK)UD@{!bpWqpvoU=2959i*o
zhqfr<&wBF5C>mneo0H*|$RSghR+-3>Ng!dtn1bJDTm<mwM|`f&!W7Pl@?Bk0P{33^
z&Eivkxv=~04Uatnrtnezhw<2RIoy0LOg3vb3wF%3?iXz_0hTd3sy}S9xNvda``$1u
zw*Fh(r+CQ(-aFoZ?|WJr*Vbg8_!qlMaOi$65)d!}y8xd(bxo4^UD|#7voVu|{WzU8
zYo0MQdYC#K)tA65CueAGk(!A8%=Kq)>l(v=)trl+rzn2@!9TElwFWIE^cne709XWj
zrJOk>gze)$2fLl^M<4faQp)WB8cn8DcjoZpY-YM^+HvDZK~~k`)LR5weS^hMIC(LR
zt4k5H;0*E_*(YCIX9QDPiATHhxUg!g(l2rIIRu5b+KB00F!!IaPC+OKPII}?VxTaO
zm_O_=aNyeo0Y2xNAI-2}eV+&G&yUWd<1Gy8-^>hQB{kaQ{a!}QUA^+0M{XYNP0W3x
z8)g7K`X;qOtPHr)TTuB<%p8){EIoYny*@lR@+Le%nilskGOo-N%%ZL)4@ZwxJt+7o
z^P4-C3b&p=*x=zYg9LT=8N`_A!D%t4yC&B*h~4$xa{S~eBy#)P;OhikD9Xbw!RJ?q
zx9kqjBgQ5W)3CQs*oY2j&5o%58eJr^KMj2g%^X8_l>};1K?er7j?FLD&JnkR{uP=9
zk09HUe>Alj+Q2i*JQA-oP5f$5Kljyp2$>iU=2p^bgRkEUcio_I;>2tYulczFRJOdI
z#{Q%h94iSQ-8ei<u(60cTfO{^`ZeO?G`loGrDd2Qv$>zR+TB*=An^-j=M7ynwbq1<
zORL8YMD-HNLrU!Cs2iPbSm<>iG$7q&Y4<_sBz$tx@7yTrM0vv*bb7iP@IyM^zpAi>
zU?kDIUAo+kUffV<Xe&|&h5NZr72+ER|9!ebHy^a3jN7RKJGIoIWJC57cU=upa~w6=
ztT&_Nldp8&7E>T`Q~eOr(idW(ZseM3Rul3frKS`k3h+h^1kyBoBGi9mw%oYih<?!`
zFY0X$-BXdk;XzkOlu1-ZMBQjW&X`Xr$XN}-HYFNP<z^D8scClt_SPf*AdV*s4XP0H
zcc|x_c_L9z#~jTURfm}V(1)!oslduD<UGL_g7ycPdp1eeA%Ujwq#x2M@Gg0IqSG@K
z*_=H!uq0lGzD0x_vOGYB^zNg3Sfa9!Gx>(|N^l)ozxUvU@m*zTQqg<LZvO@`IXh(d
z$=0L07IJ0xw|k}A$u~QUl8R7;kSPDULIYwwo~|j*rUY9e<^E-_i_!c$vuI0bME4op
zT1uQ0;dh?8?^=E-8lxXp=H_ccgVwHz7EiZ(<=%<{Q%8*Ud)+vGp061h8ga!vSx^9d
z7sq0A$1g~AwJJNwqy;(5GVXl2TLE^qNky`Fd_@oc1jgy5wW5Nl@2-~5<$;$tcgHxq
z3Jt8zu@%X-qnwKp%m--Y;lXCRoYUtTRQ1)Mf3v>>anje8ee#uqvn}L@Pep6dfiCNk
zg4Qn7={aZbRxb;z?Gn6+*>y;#;mScinjZB0P{U6NeOWldK*aZ`H=?LCwH$?0zmU<S
zWA#*y43KY`@?3t^go@kKSz6<NBddhO$(N!sFuvzirGrfi+F8j|z{N3ulx25kTHTk1
zOA+?Rt6AGn4YTMh<HtetB(Z5nK8G|Ezmzq3yw;9x#5eU$#|@*g+AzABI4QV$(khIO
zzY9rXkLb%Oqp0WDmBMH)DTve>JpSLYZj>VSMV+C095D}{dNh<Q2?aqhedqu7qQ7mO
zaOuz=BoY5Yv|dUQOlID+>U#f1%@*xKQDQS_Hg@`_(HjX^>yLE1I^B;@&AkX~{yDS_
ziib6fCE#rFmmRO44WgZMHj<&==22u0iawYp4!K@gdk#hpBP-`9nG?B-C|@eW)2CYu
z9_6yw-c21vqW&!1R>Tr=tU8pF&Lsx>oBAG4j*TOCi$=>@)>U*fSo*b=gD6C=$A5hp
z^auHuBq!Uats}aHjHRPVBH(Sa&{1kWgT5Ty**|$^3pujr9*P(i2E(PNjKh>UbcQuP
z!l0H4{HmmcXbgp6@Nw#?{K<I~<2*Cq7)=8n(ItH6QiVX&Rc+6F>mus>BbLJwN(Wu~
z{UP`1gy48SC;j~V5;}XzQnw_H0j!k8xLiX8!SRw_!bO`^<R2PyS!Z)69J#1FvA8S%
zL%wz_8$;{JB7S{&A%hvrqz_p4M+m?>ci+(1sx9<l=DfyQ3>!!v#WNcc0?_K%`0n32
z6-f3C*oF;pz-o8sR8l=ZFniCfFJT&J4{)MQdd&rysZ5J^<N4umPt&RX_jJ$@ZNFTZ
z#{(K_ZiN4FexRIt<JmvJ0H6EDV~AcpV0{~N_Npg8h&<JQ8D-4~oLOc5=d1-`fF~qF
zGL#?0GXm0@7MMYkV0|{bBn-vUzwXw5;D?Q7aYM;rHZWZ0_y%KQkfnNp=7hWee4exJ
zd%(pB|1mmcC38x`T9@0u>x}}Cy>RAOP%jrW=wHaEX_o@;>*}oWWrARG+|(_%od;O%
z?h2%<kO4^!t8n9gLXdX<Hp??=evp2kq<5uD4n`bk((zLf$diaVcGGLS4|b%7DF~9l
zr9NZd$R{x{im2beydn$}w85P`;oCfVQ^=gOt;5lEa{BjgV&Hvgw<|l73e*gZw#x07
zg7s@6238Xipgh}`IkWA9`|7_AlbmIMh4wSY&R8i>`?{8<T}XkfpZ#yytL5NU->F}F
ztz_Uw433><(|~s+7LUUVNN_V*My^0u4t|$>QgZXugwUk&&TJ_%Fg!e2R6?Zyo<jZm
z3RAQ|L0CJdC_xSWeC&IbFhc?rSqoRjTx~c($O&HURtN98XX}r8mB8_)oKW3m9mq16
zz9F)mM{A4<KHi_nz{$L2*7#2cemKXb+8gLXdFHxj`W01pb3ov%fUqv;wpMj9=o>($
z<r%7zQEFhxUL_IuSqEfp=I^g?Fanm&l5`500vmNKuTK2bhSat_75Cl(d=oBCTF9h8
z#6n%@jX*76`(u86S-}KIt><n@{GmWNMIcb`ng$q{zp0f7GX+ytgG5-OfKo(HO{FXa
zMAx{dlJA?rRMO=)P306Qk7+n-yr2yK7GKF^1e(L>+vMh^Jrw8<-Y3FkA`c&}MPJWu
znnOv<1MarRYH;d&(!GljlJH+1&4UyZ3s5fCM<$n5Av`Ka0%!!_HQmZsy0Hc52)un+
z<4p#^@4vb4RWO5&>&VwUItz#zJ1645WBcDH!+)u^E}%uvet(r@bD(^Pjb^{50EgIa
z=*;yG5j!87wD>ZbgILbNtS3XVF#RcTgENU5*Qyo^)gLi~k=ChKZ_T8^aA5K~lQT2^
z;~Q(q{BD~+CoZKB+dATR&!#r^;KZ5It1m)nOo5$h>Tj*T2()Fygeq|HU^a)-ZX)|k
zAn1bw+gu?(42&E}?3m-l&s(PYCUT9T!m)Vg6B}+=^<@1wLE^{%0{{U3{|uLTJd|A+
zhKaIoGnTP4gBklWW5(_wNhn*Nq-;e+DoRDAMTAnam6R=n7SW<8&7-m;vZO4fR6>cY
zMYeDLJ-_#N-gDmbp6j~rvNrh=9bp?V5h3nh*eePjK1b?a`XYl7g3@1p9tMcn`^b_!
zy$arr1@c}rBVlZ*(z}9>)}Ys|L)op)1?JS)rthvK3?ayV;Q3?)y+-cWtLCPx9U@P;
zd76`O>)oe~mnSXZ&SZ7%%a>oQyG*W3j|-9T{)kg!70D9(`OY41Q>kFP%PkkYZj-?^
zl}4=(H(0>Hsz(!3bKlq_LbEp>rpw?d9y$7GsyV2+hCQF2onViqv|Z@&lfj(=i>H2m
zGlPSlQ~fGc=GcDA-+w!p$l&UEp^6YNgDN@mV>>S_vpX8bRl>=feO+`t>Q`(Er)Dcl
zFWy;!X3yCLM^t67`DgiqQ5jRXlP8hC-eo0*{YdG~V9DU5-GRv96cae7*sU1-h!2-k
zOFLLQWKcYjcEF8j0#!>5<y*%EaF!x8v#v}A`(}t@j@c}*NXppm&LfO31S1PKh?8(^
zk?Rjhp9RixyTZn2MewO|<lkdSBqRkjlJgsxuzk*1eX&~%m3LQ<b&_Rq%DnCJ=U^t}
z=CSjv-ihOlQqw)UZ)LHIbms9efe9LEd`~}DN#Ft9bzd#A<uLGgw(;N#W7z(fyo!-c
zz$d#@{jyKWqtTn715(k(aN(~(Z_Ozp%3TUAY(A!dwbEhE^;X8<dd1`XgJ4PQ;@_J>
zOHss!!X9GY0>&V0EN;%fNeb)a`t63FD&a^)Oqy*U1H7WccLq91W9|C@eZsOb9@D2=
zaX(?e$e%1HLkAh0Hw`FZ-BQ8R-c`-&1q?9w%D9!bfrL`4`^RehRnaKp(L?7;4A`09
zEw|fG79;MgeWRsJ#;kXpqY4=eC_PwvbHh<N+-28pwDCI`pW9e>+vPEUU$5g&{B?PZ
ztDC;pTtUItLHDSK9y6eaFi<A^P64x5JmTt!QNx#op$GgwF(4@7PVFIr5(*9Xz6|nI
z$9g3r`<nz~cu7g!KfhTS^;372FKKEZ@#W4#!~Yq>>wMyX!G9`v!=?RI!#@r5ekoOw
zR$>hD5ro4FT&lRjPuKWJ9TlC*SNxq9WWuzT&+WB$Rq@y}i=RPfXn5vL+N4=D6AC4U
z-aqsu<4Cc^uP9SZ+^V4Gs<zC8J(`a^3q>e6cae2@W3MKXHK$fEFS4Mt<<m2*Y6{kn
zqPF`4YT?mXdQF192^?Dc{HNkJH5}kE<^R#4g_rEvCeJ^Zz~-LKPo#O&k^YpXxJy+V
zji<FH1=CDHo8c%Mou!VaulJbeI%#9;6dzN-!wk-|uH;=-*FZ1ojM?CNZOpk<;Qx(e
z4w}KGJbC#Vc>Uz>iy`XTh_AzbIesyR=Nj_t4?<LIemWDeuT2Yy>Sx?jN-RL=T8aMS
z04jc5)U%1(poL2-FLl(1Si-Tu*z?1AR80LcZc&k^iE?VmtG-gKpw;8{+tUqHEN#ln
zIPr>x`-LNWMq91mQqATyDxFlkb#;<&zL|=5q#ih$?Y4&S#6x;NIp6ov^?ipD$~7=(
zP5$L`lh$w~k@vy<YgGJGcbT{3h&nFR6kN(T1n}!y6kG73qP&mB(>x<JJR?C>Vf%2#
z!?$c1o!3AM&w>o4elof_{YxN50~lI#PP@iy;G$wfX!BWB^q$;Oe>53@e0JA~ql@ae
zD&8k&%2WjzB7VKh41n&J{uV|7>R9LQbJ=595yNKw@%3H+7_PJwPI{<@j=p>Es~?xg
zJ)UqEIP*LBj$CP5q+qOE$LR<wS@bvA{VFN|z^vq&yq6^fzxsNf=QEJO_*0dC9#{Z~
z?&+`IbC`^t9((n-aqd}a2&ut99N^3jD+4CyztZ&JJuqHL#L15u!=BaF@O!^${M8{9
zTsJc1<K#lXO!vYQch*@0Bex{filTx9Z?BrO$`ZJ3W$><?HY<oM_3i3uR6=2~iRi29
z;<&ZqtFf+|6*Nw5v9$13#C?t}Jk%Od449KTM{co%lr!8W1B>#Q>-}(Q{=5kOHmxxb
zvbO|o!{X$SN;#aN?Mg7K6vpE>$#G^i7El$$@@<ZjMZzDSm9~1qxVPw<b}QWid{6P4
z9oa*|;APWCd1FFIUOFpSb<-T|oq0oo_sU?jfXaUNaUpzgH@}BXHissAff@BgX*6g3
zx;LUDjQ7tEK1{r326x^(&l#wZ!jxbCjy=c`#%)}Ne)%Lba0q9rrVC4<PS`uyN)W-?
zWy>E&FPlQt9S7QIgd_$M*OopL6~(gE6%Em{rr`eNS?$R`MC>j$kn~w8h9X2A!{r<k
z=riyq)m<cF!!@CoBjVyHHOczsLgR3LW_75_Y9fAfiIWwp5J#$6o>%ol79<#mZkQA%
z;#>8W2A^#b=y)qU{>)kykV5A5uZ|M%p~Z_U0cr%4qeNLO^fBSWu+Pqz0RnDsz47Jq
z9|DH58fZaLOi+1W`c!U$fU=a;jJ6&kzB^%jUsR3>r8j&^z7vSpzd>Zyy+smTX75~c
zLSt}9dgXO+9T7>9b}x$CrO?sMBj#YJF^tINW$sBQ;-JXSFv^fL&TMM18&fg{=BH03
zr>BT$pWgaXU6h0yCdxOdb~E7SgK)X%9g^tgkQXAlRu+#+TF%C1GQfYU*B#wa&iI2Y
zf?=v0nkJsHyXwz?*P4Nhh<GV{>;7q1<8OJ~n7fZQWx#+mDU(A?V`)4#6>@#ZPZ7Ve
z{6sYc8Ni%4ytL(yG=5U^^bPr{gl$~D=0m^eAo@A3rJ+d%_eL$dg`2A&o!hALdk-DD
zE=F{?-Xr0$6w^JnqN+%~?sM@+I~{V>>*cC$%i=3#&tCo?s<^b`vhRy`bnp-|DK4mz
z!`_E!N}rp^NDrATbRML`SW{eILbp7Q-p*s5zemA`uIDGW^D-cuWRg?LuZVHG6V4vZ
zQNvy4XSNM-*8j|YP=R}$68_1rRlAX-j{6OAnRh}N5VGi3ZJeo$^)+(BDMvI=Pi<_?
z5sqKtj!|yd9Z^9`kD%XHK~xlI6%_g-X$(_>m#PPJRk3Pfp-6ij4bQK%x4af(49(YQ
zQF-50F#_eioXMIfg*n9A+)N;ZH=TKxOGcN#G+&utn#e!9`HEC369z|YJu|#180K_h
zDI;GCHyQl>5JYEz)7i8w1w=KpI$bq)%2FE#1{8Jg53s=d#iPDMjcPc7M}oqtwNdKH
zfBNSNO<?x3wYSY7b({$PZ6!$5!MZ0$x(C8cfhp(j_D@y=zr1?DcC*#NYwYtwq_t-7
zMEj{oIES+WPj!+fR_ov!O!WCiF^7xchm!)CRJ2MPtiLF!gKM)A&BAyrp#O8EM1Bbs
z$N7S9s@>DZ@c#_|MSQV<;G?T8$h<Thk2myVDQKf|zdzrmDoa@STvg7pr=d?vt*_ih
zjz^BpKk_+a1y8^EJSh#O;UYhcv9MJW%{M(x{<Yc~Mqi)!-g}USojmFZAIxd!)*tv4
zN3CJ&$p;?a{Au_x<Coume>G6Pe?C|m0Dj&QS18b>q2*$@k=tc;^my^}soF7sg{E^c
zuRc<7)<Mc7RZR_f8&W()ZUWE?xyWt%sHm}1U)i*TjJ?TAdtF}vl>ZrV{yD6H!T()w
zS*@*#!xan7BRv4I#oanT9W^k-(&d0=s50LE_=Vf;BLK0hL__I{I%adb4C>}7Aj!?x
zb7MPzWO?fi%`P=OHT%Z*$C50*sMydeT@5g1_4oQmel;9CK3*`KB7?+XY4@?q01=z~
z`-F`sI39OCz28p?_wT+Ow>}ggGpc^u0Z%eEUXhD$4<+K4+6{|kCY<+Hb<ZY8siGV;
zzsR*(0xvd}uHaj=26FGFptKwnEY!&h__0<TD_-W#tvhZFjRD&t@-HeQ|BjY%B2^UE
z9q&oM`j_M7L-|o5lZvQfdhc*QT^M`(xBaE=wt}0sjk-xY6j11oL!e@rARcv7Xm9Pc
zgdo0W32VmXa5;rXv?)mdwWHDwXgOHI{n*V`(y6j2>C{k?TF;MM-yEFIal|(1Av@T*
zo`lYOvd^q`=SN57wY~zX79cM{Tzykb27l09nv|&gX#e3=W&8zmD42OEv{^<PU-fHE
z%2@K_rpCFSHH&7@pCmi1sv(63A3WPNm&A{JYj|0(&kT}9^6pN!N@D2Si+dx*1u!|R
zw(HC{Q}E7sVG(wjhy!=WL(QKH;2y5N6Vu+N(0=*hF2WoERp`BT@3RGQ`gunGhj%6r
zCCKwf^B@7eCi^e3bA@m$Bg`XqqX`sj<no*nBw%g}?6Rp7#vGBE8r?1yM7USE=5zA)
zebZC_b_k22<%Pd3L|+z^+`mw|<D>)zjIYxDaX<{a?ZnH%elVeWXV>>=UkQAB&ROex
zv^X9Ows1Yc;eW<ySATsE35;9p6ZzpPfj#Z}gQG>65MpEX?wyYWQbs0vbr=N9vY%(%
z;pESZ^-CAOL`&c<K7F&>R3fH5AQ3h>7()?#<Br~Y5~vaMeSN>SBs%kN6ns6(0Q-{c
zbN&kws1nvk^0kq|$1md?w_RZXW5>5cI^G1-)_rlid6zWmcBG}BbYg(=#l}XFW&-Y4
zCx7a_E`v&K>9;aC{M^;^Z~YH9B6?m*F<^|7uxRz+M@n@Zo-dh5SB?<ze&NN!2sb(O
za?s8!K2L{6oy5ygS0wSm8bLw%26_DTVXIuTFCDnAN;TVVk;3m7b~wsS5l7$G&zhLh
zVXJ7Bp_-vIo}b+oUoftO!^tg4w-xDdyOEfrBQJwqixRxL?kdRj!G!OxFdba)y<Fof
zOG3}1%cFC~s`z&#erb-64m-`{or|<((NtRSk1B<XscN@~#bR{Wznr!DHD`UlmyVI2
zkto<T9^=2LMhAnv_ZNcC$)k?(r+|1VHPq{h@Lai$4)u%1svo-)IGp-Htd~*e+^39^
zrek!dm}=0|VJcy1xN)S7q6V(&Q|j`lrGwM7%RG0HGH%#+T*81t#l0U5W-iGvpq*uY
zZEcDQM)XxhX=%`Ks8i2l_elo0cnbAeda7cK>yxWwju#5IxAYxe;CQ*sn)!p%e=1ze
z*Z~AB+!e29tCVC6O<bu*B7c$5Y7LEbaY75V&X2F%uFr&1#!-niRTR{mSb6_dl{P*x
z68i7mcP7-u-w)M_Q$x?F-NLnjIyh=)P_e&^1)UuhBOOla7&}kKnGqdK4Y%q@i8q1w
zFXpBX2x{Q%$nE3v4!UT+MZ4t9UQ_7PxGxq{qk&%?ci_8&y7>1+j4xM!8Dv`VUbg1s
zf5((874JQ|_{gtM+uYk6lEwey`!GR8-S{@{>)N`wZrQ{8%YPQoZu;y&`feJ2j>!2K
zUZ#WD|D03mHdummp`GK;CK}$@HE*6aqm6GqGS2#1TR~aoKA$>aP2A$|<SfCXjbC~;
z4GEAr{5KChSgNOq0xi>1&L1?f-JM~%dBPeBUp{o}<BX@C+dR@AOT*py6h6a^0Bb+}
zG(5+dN9};N<3@f?KS*sBip>XLC#;I<Y@p#GqhhiAed=f<aJWR_GeC7<w%Pjt8lH-a
z>CUR7;L)Np&Vs@=5LrF=J)7eZ#UxX-mm=el;{%cNR2!&Ne<dzvPDO$v&72jif)_vk
z+0CNc!1VRaf;A^KFzd?lj(-`7xZhoKUy_~;*nh4Uds?B6tnl#aLveDr>Wx1d%iBPR
z&`{dm4mISLXxmYDM+P@1Msz&=$I1WYHnZ+S6kO?Gn`uar!m#>dH+$Z2_<wr#@VjX;
z4hbA-I@3hJWl`yr|E>UBR|yo*T;}AbvmSig8pKgY__N>S7Jy<M)n1yQD%$W))_W+5
zqHRS;(IyhWxXZd}TUizKZEFZ*SP0>MkDK*EdDc+;sbF`PuM+<7J{Wc58$Y_9vG|a~
zZw(EP2P}+o6!6^oEfpxhhtcac%-ssLf)^o7{lsZG9A0>$v$bF)%E_P0m3d<c+2wnJ
zzXi(TflDXly9;^od3H$jUOh`F@bMi8n~=duuf^JXD|m7H!NU>1FL3h1`7kKB%E|vF
zJ!bzZc#zF~^V6kqb9nqLrP?7-3cp<?)n6&$!DDY9jcIN)hxjDssbVKdwDTytoY=>M
zHeL0BHq~ZeKg_F~$>CKL?aZ1X2VU%bM9}b{n8Cx4Tv85)^ZMF;2@BtN(XaY<Ty?T3
z@KqEVE>%i!ddqe@)6$jrz*Ebdy=($Oie3^Ok`lPmbZA^HeHF?lt&+WZzywULlpD!j
z5XYMh?OBfbe8?+Wd++!N3*KlA={Kl~V~2t2jOrVH6n(}eld+Qpd~NQO+-x!QSwyS9
zBteY)uGhY5m<f*GE6aUpVo0SOW4=8pgrN!<TNXl@aP6t<-0&Asq?Ss3+rCl+t!*`E
zd4G&SPVtLVe4{8fas9{|ydjD`uW0@%amMiYF@MqHUQv8~8y^YK#gU8ce6XBk3?GXR
zyRu}&aOXGS8D6pkQV)h-Ia|Si?6g$Vg=1nEby{SPvMK=sS6tVfaAAPALajpHN^zVj
zxfpD0NJO^uC5FK?9o7WswbuBH<7kV_9t#giyk)B0o|8idp~)$Md#&Oa^s?N;EI|ql
zEwkR`xzOQ&rPrwlcM06*mo;GCE{!F80f8kPKL6V*M3?y?fev%c`yBO2Xf~Rk%W5zJ
zCA~K*UZfGQ_g5L8e}OE@MLqNVdcg=5rS3)CcPAnQ$M$X3lgAq0jt?$=M(`r_>kdN=
zNgS?DvmS0!K;I23S6i4Gf$3J;f+SHXOpA4UaP*uK#xePMk0=_!kIW#Fq_8w*#z%X}
z=&RriDpgMk8$qv}LyWMp45mLHeDa@~DwZ8j4lCw2g0U6l_C;$+xar})Z>!YF_@$FE
zdso5;qPr#5jc|HyGTTVm-++P>lS#i#G>zbNnDNP~9yv^YR@b7nMh!m_iGn9xjbO?B
z2DR8$0fP=NxZDj;$N0xRVs8?Rfa~ea(^G6kOv|`Bk#kxD9k%8y?Rjg&>FF|C_qi$~
zJEw1Mv6zZ`QYOpt4Czqib<)u&N(HYF9$yuEO+yFf!{DSsIw<#7c|3Dd#TU1)8`uwX
zxELd~NY!P4yZqNo4+ApZD5DOT{nNs42fe7O%?wx@uV%zeq@cE;S8@42Z5+9-Rq*VT
zF@)2C-*5j*!DFR}H@@m1c|D=!*?J~?ez??{+pC7JszUuv+|)(V*8V39eHNrS#Jc)d
zspC8=bk5RI55uc}SL{$T0p6msyq}UaaJcfx&CgYOSQL2sYlW66q$!A%k8P%6--5VU
z%Y+`LPXvcWTA6_#`7KkKNW+=-zxn|qdU(oR;g8Z5b5K}vyVG6C@n!XekYo9JSk81#
zQ95b?=~wT5PX<j)NC#gj2|aXu@!^MFrX}za9S<zt(!{8ByC{{Wx@e|nCX{%~3W}6s
z<Gp7z(RE4mbcdo2zI9DtK^eyvl8>)t%WC2AH}h@ZpKIX?9n&wJ&Hw>Vw#=4GYoYOC
z|3_y-O-vu&d1v50K)#LO<h2n^PA`62)N_D}C6pb<dIfBN!peD*m#K;IDoLT5oZeBs
z@%D!aXB#lKI^WJz*2JaHE%U7<6x_Tv=&9Z@8{j#kRInn3hLzbt%i)!(xSZEFz3s9M
zc<)}*bL%A)NoO1`bzV`%rY@r_)m$6!?euFY8PUM$1PLc~PVc6^xIrvPw}GLKl+(-e
z>KG(rXAyIPgyr*t&vK${!2kIKFVDOh8tJ)RUa?sUDJSl|S9Z05>j&w2#4*mfOGTh)
z909NK6Zy8t*}$Xy?_0O`a&i*OW=}D{IGSe{{Y~fvu(#~m`R1i6=B&=t`~HgKg=FT5
z##Dg%_d{ak6)M<5A6EFP&yV|eY`r9~2EfDj-I3yT%DAHGKvb;RN}T@|c7c1)8j_e{
zS*^B;=u_s>@w{&ZmWU?wt+wEJTr!CD&qE%o@3zZi3vuJ?!AUQhWGl!j>Qk3LC5yi{
z%_WD1EVHe9J|+C<w}dw-M^(jJWH8!UKWW?LMRs%K6Rb6|1eV0)F1D#OIyBdvy>V)R
zT{lZ<osP4BO^4TgHEoo{28(l2-$fVLH-)t3wtX;%D7RL_Pmx5tMOkqpg1W%=*{rdm
zf^H7^b$31-aU$Tj^bUor$^~{v$m7KSlFfksv^Qn1wFIWu$Sh>tTx9=#zaqSF%oHTF
zmp?xD5XaioF@xLFOYAPaLhEifQ?SL~X=$Qj*tLf6Fwl+*JpzO8$X1!asKT>G-wF||
zlDWZR>v7`~yO{HFocmI`Fuq;kyfEH!2(RumUV)}*MgfNDEchh+s$xDz2%WaUQ^id@
z=w4CXrN_^LA{<Vz8W6-!Qbz?AFY=;R&C#P5PBLMRw|={`w;(#7eSi4+*OgfOmgi-_
zqA}c}Fcxu106hyg633nRux>8%$<yP;;Iyhq;c%+}Zn+@Ay{&~GE67yeN4&<M{UO`v
zVv_)N?iG`p+bM{bqHA0CCNqH6?&}&gCV(%?QpISB!e~Dh8na570gsi5|3*y(QPB2k
z{qr#q45%yhDZNjJu>LRfxm$v$qZxMW_a`wtxghZ8?0QbF9v~>rtQNxYwC>Bov*H+6
z*!6k%ml0SpjXe^%h4Hp{k#{(O(?58~>cXi;aL&Pgb;*D*#`Xpe3Ih?3X6t@;v^0Wk
zTg#%(jf!Bth=0|_7)d-e@k>SUw;?E3uz!^)h@pZ<v{PNL6y|mwf5<L2gyGk}(t=FI
zF-x#pwZ~Bgw|0BPOz$*=GXv*{J2~rkaA81v=`E+Hs;fM(H!y?^pL93;crAg|0YZ`q
zhvo2GeE~I;+YsFC%yQ2@AYjCnO7VQA0`laqYGr&hfY@f%yQzCbOfB8r%pfQsrF8pT
zQmp}0Dbguz4U)KVP)I9ur3%IzIkNu5Jp(Wr8n${dC54NN83LZ-su&zuZp<t<fZv0Q
z>wQ=<Xz_37%vDV?>Ku>^TzFytIm99>;WQG`M<=)Cxl&MRxOdjP%K*IW>u7>}au^>J
zQR5V=hVLYOA0Fi~gvs0iKZi7Vyc^<ud;GaN?rr)Sv)R@VDt&n8JXwl3l9bh`D@a9F
z-{AgJ8HO-5nDy9UQVBOt9GPnIq@mENpLTgmhS1Pl_HJE(3O24|xs(=a;*gWeLDv&T
zpz>+e#lP;VxGnZ^U*eb+63-LIxn$`e-4v;v=}gA6D(_}x^mK4%T5?loGaUlV19>E!
zDR}m&t5oL}T^v>^n>l)w0lW9u4%BW?!ypFlCbfNfsLT9>D>-?lA@DtWi<>&OmL?IR
zef5#NLD}_g0uw-T@!On>1~Q{fqTh)bpxutc%@u_#AQf^Y$=Fjdr1Zv^>P7>UO_Usy
zdT#=cDjRPV=+SV;?%RpVhYiqVvWt~YG6P(?8>qsoi6<knL%bpkkZYa8e`j}?LyNyu
zLI-N%!Rtc&8ypNUi`QvLq{;%CNxGd}ep(n@w3EC3i$3-r`AeYiTY-oCdMD`7Le1C4
z1N%Pc;fS^!zpRrr9D4n8U!#^bGJpNK-F1?)-`j`1Vl4o|GXJ$SxM*Y03B`!*J=z#a
zVFWyU2{4hHSbBF2=Xv4Hoq^+;*d}^M(%X!~^G1^+dxW&nYTnr*ypxKXwpa@9&$0n|
z=~G+I=4+vEtI;RlOX_%c3+>V0uQpJ@b-P?!PzxL0xpuE|pkP{PhTtN>7E;w0woW@}
z;)*-%wSWJq;P(ZKXScL$VJnqp-L#E{#MNsw&K_4p_ldukw6twu2t4%SeK<b4K2oi}
zMiwj0c3j&dZ42EiJ34Z#HSpJ!KYqG?QYh%t^mcB{24dyzNxcwL$JNig_IrGgKpOGx
zi=sz1!1pb`BDs@-LEhe#Yhp!^^yyHu?*SXoxR;^3I-QIKSAWNi>+oY+^0BE|H5;&d
z%y^%$Q5CoEZS5Dj!-Ic%uKW~g1xUZ^`go(93VL2;1w5TvW?witozZsyK<Hkca{gOI
z%<6nAdXn!SJDWUm+)D}|c&z$FS&}?<B>zdLhRv`8ZI@TegjmB+gm?H~P9JICXY#Rq
z<s{q4NGmd+#0t2-gvc5A%b?@g&oL`)ezRwMe}4}hvV@Ntk`KQ)DTUm0q1s9MFSg-W
z!p=;ZC3I9St>bPaVmjCH|Jt&DvN7@6zK@|6P@bU~v7Sl5{>?o#o2-Ab69<a7etBRH
zbz!=r>tBoG`qS)Et1my<I@iq?2;An7)tuX^B`k)bUGps)HvVGA#7VT5yO}|SIfb0o
zB#bF<zYofXkFjAall<X^DR`c6txI?#h>3Sk=si0(&MqvQRmtWu1p|`fpueO5t`dwB
z7?+-8%f0GLoc1*Vy8GoZ$mBzVde>a%wkdY!trd1%wJdPBQgqACa}^?Y(aF^E8MgL%
zuWc+%7W@wY0RR6Cmxn*qZxqMvtn9tA$F=Ug_WT}~hLW<1jGu%^LZXtDwoyr<LUu(`
zk<Ir}N+ly(W$&52$Im}-Ua#kz=X}olP2^R6kaU<HSyLt2SAAH)vtG^2)5mMVr)ejS
zEI&FV(G*lz*0P32G=7^_r`H5kURRCPT3Y0)8!sWiwTWl_etxIqss@xX*keJ5Y0>Y3
zh=d03ZTtp*q3GRtb%=bq;^?wWgM9O9|I%KfLOWgAgDF1hup!#33EyeZpDo&+E7jB}
zch%Hyb5;!)zF5s~BO1h`t-@U|PK(6ZA`fN-s)4`OY1ffIG>FDdreQRW4%wCVJ7iF)
z!J}U9re^}Qh*joRFP$g@%9G-(Vt7D?cZp~7gac_&ah@A*Zq*)CY4^`;M1l;mT^(iB
z3$&>J)Zwq0*O<_;rGPBwQW8*VSJU-l>Cl%v{eiU;ENJbq8Zp_11p7k?Ru9eT(VLR9
z+Y?rMQF8X6NBuGpj^4N{$)&`A3}n81oeE$_4e<Rxm1H86@t>)8BkVzQS$xkd`Z&<l
z56;2NrbIa0b5$?sFe75EVjiCs=0cr@DeRY*RH32Oed$&V6Uq)vk^Jn#jaVKxGM#c$
zg}{6C!n8}wXyiSCv#py4%}f;)Rt~7Z`Bk38oCsFr%1I7Z^58?+Ut-gnE~tR_Hz|V)
z+H7cNt~I5eLjbXfHU3;?R)KVXl}v3`4pdn2>0oY`AWHdgv975^8SXztZed)U=ow#A
zaeR$18icc<#zD%EQ9_q&NaRA7@(fj_TSSq<iqJ%ug)%sqk|gupxlwVV*v1iBaTL?d
zJiu(E4B<A`+jPY|$dKplw?C>9NN9y>^z#vA$c%Smb&=#l$LS4RkNZfXOI>-k6PJ`>
zLRXgh%WHlVl73d~P_-1A_Hsn~kTMYXG1<kVf{338bq&%o2wN?UawDmL9j!0#8FpdR
zE-JXHktmBabrxB9>Q$hrGoX!YMg)2CP^XLv$fNIU8;su)cKc@ZZ^mm}45g1G-c!#|
zKy|$JKO~M2K_*#QhbdefrOSBFiIWwP9J_<ni;>;ABu<+APLM$N0=hiZa3%Cn@o#->
zDhcM$+{1Hal4$?evYTcU6=cEo$oh8>8R%d3;)jQ&P?nz4_JjATh$0oJ_jC7u?(w`W
zZp15ta>==eK86#KZWUkj=wo$o?kMKgI3SCLQhwAsbCFP!dsskZs|FZ|(S}R;%b_Ra
z<eoRTNyza?UHA(%EdZ%$OyY?=5=t3;jJ1<ccYw%_#anIIHyT&r`$_@rxmZ8Hwnjoj
zERVjo8R|lcWy-PqbOP!U4SsNcl7u)1NHmt+dT=nXOkXra5k2Ye?pDesA-A^DtnDxZ
z@bI-5+fh|QKI;7i%5o&Mb>}nnbzuy8GO1$)3zg7C^^RBB7l=si^!k5aEC6WiiM>j+
z$|%@dZ9Zm41&xxfI(N|<K^{d(Jybv$J#x7D`CGLTdS)5uqn&94tLoZ<lsP5jVj%s%
zN|S&NS};zt%2U92LNISES_$Qsw#K&YzT2ELv$`vW0)26rV>;7{XzH+GkZYVYQuZJD
zQPo0$l_Cf*;8R4;1hNO5-%6m;tdI}UYZTD8wdI)GOF)5_FMn+;5k>N5)+^am#=uI|
z$I|&n9$D59@0gttK(vR`k}4)C;7I>D(f_U-`leT)9(IizO}V_NbFZSn^#nS#k0P=t
zdrR(;yD}U4Np6+HgDJogCfya3CXL$L4rR}UGoS|iTG1AP0<ZXLvc>mFA@{uRcLe|K
z;PY(G-U{_b(8^YOTqRio^%YnIg>x<8cQl0Z``nG-uSvOtq@*}1=yq|t^<WG?!T9Bu
z&IUkO;K0MT?xM))mR}H6KpURFd0M|D8o>3&$tL<7A%x6x7d~kR;g8Mp2ak&ae43F<
zyU8Pfc1Fj0tp@6`#sO99IR^~#F4aYP=J2B1n!L{f!@97oQl|Gl5r&X1y8cV+0yomR
zBY5^cYado~E|E9%jRCAuN<M5kbD}ca6P6OFANzac4z~P9AI4PPUr?uKN2x#S>+@9y
zu*Bv0*rS~KKqWi<bSr}ejf;_KY%=??Gk;G}KA7pjgbCe))@O`pxU0b@$i5FV`YY-$
zd0!XyzZLh>9;Qc+WTXQxuy<o$Uwy6&Y14tKNW)iDp|nW7S82E{qZ13f?6MszsRMq`
zHf=Niqee=eRn6UnEtpPm;UVb&ZTQKNa(|R@2mf|nSBZc8C+0*Z4KM%H0=BDMev$PX
zxQE=xm2r+wm<;u(K)r$%jJUaSs?e<ARYgV$$DQ6_i?P+V-cg!Ral*sIB54`#bEaay
zKAnP}a(m~VKBob3^4B`~A1&hMvUBCuK9xB6<HZs^2MyqV@2q$F_dNdgUURX}x$ijU
zz39ESP91L6(q3pgKZg^HKdV1j`-NW&xy?9hpbnfoK^G^CW^s=LS>@Y=4m^LuoemYM
zfwQW#z_+X!Jcaw{-yrk9_~HB$=NwhlfZ!Zml%h6`ziBFTdh)RkpFfi1o|{Jo`w)G#
z70D^Qzx_XfO_M<!JHtEuK$Q%2OpjLk&rRZ*yrS10{2s=0wUjR`6q4Y0(hsqE+DY8)
zr(EdvwK2RrL^lN)kbtL4#mQ%M0#|L?KX_hs5<jx)e{ASG5$=so>J@NI;zA$Gn%p*~
zaqCfbr=xbexu=^%&bT&-tF-U+JLf-(e;%iD=;}}f5vpO=lQL7dah+jB#O55Hf90?L
zIa*bisq4muS*CGTw*2&#qy^lgZ_-^`Lj^XP3N0;EX7HyWlq4_PC0tm>>m1oz86q@m
z@7##~hhHwMVt=Bxf+tnvu^-J<f}QTU$&|QReEQr4@*sH)7u8%|iTI}odxuL9bNC$I
zB(kkbvfsex<9v(TbQD2auhF?UdLG}2w=5`nzlHNX4wx~IB*3z*dW1pw0$z9N{a*$#
zDzrMPn@-)Y0H@@M6-j%Sa0oiHvoD+)MT%PYu^1}AdDEyR{oBiUn!@E*o;0**SZJv%
zF-;zl4(koi%B|vrTLWrdujtSvk)Lk|Smfb#sObH*r8WG&0qy4H00v}U8*^JTL=Ju}
zP$e)gZs3{QlUb@hj7YO`p=EhV7UYWLPaKoo#(U7F`GZ7eBywm<Ff~vX_Jmg}l^mi%
z!bPXAOf0ja!P=$T`W+cyNb7oNmQ0Os<*8=>2kc1u<`4lM$-wzA+V(1LT9la^da6f_
z6HyBFuMMimz)gSEbk%%1B%)9w-}Q+Lm5b@CceYDIJG@=o<IjMsY}?uEF7qIQ^vmAh
zC~5GCuYI}Z!iW|xao4Zd@S(W1!LY05(h#%7DZU-Sj6%QcyIkfhfEF)2EBz@U4e6Vh
zwPgn@`e9^+{GSV<>jO`J{@x=E=ijyS`M9#91B}&5zD%Mh8C^CDrIm(H0^*{f{G7<#
zW#rrEynRTUJI6*yKpIjwYh8MhxzGfMs#^4Z3FICtnVV-S4dU1Hwo4B3AS&|>?~lJE
z5$9%9{&12s&{?oh?D+Z6217<p*EMORC&Cz}$}a<>xt{V}Yy!way>Wk;u`Ie_dN#PG
zN(MOGe-3P@3Zac12}XW-c~tph(B<tjS%@GhEo@#BLCYD3!%xZ*(4!~WCn`V40ebsx
z*kVBp1s}Z_Bdx21j3eGX@L*Sfa{xj>y}vuD(Qki<qw$eB|3wEC)T%W>d00vSl5bfs
zBT*7X%TKn{Qi$l>U%t=0WlAvVvfu5~ODR+_O~X`gMMC@RL`jB%s&G4OFa%eTL7vtk
zbkFR_Xm8$^`iU7LnCb@I3q`WXJenc+>|r%jEM?oqaGMO0XUa|to{&c}m*?d3gw&D8
zRYDV+r8?x126Ndb6p-Wfexs|E>S*Fdi@W1-O{lF!!M47N$oEysBM})5wC{Q->1U8O
z#HT!!aPLt<hUQBzG)*+nY;(7mNUbgi=MZ9I<W!Ko_(Kq3*FfHemQqEs2Cz~6qu9$(
z6}^7pV{kP@9i8*1ySjWEgTBpByMAUO%5*W0{uiZ&1jJ8s@{9x6$0fAZ948|C2|7n7
z12S6k(z^P5)d<2(qZ1g<6H(Q)b9lgWBKkyip<rc%0=nEM58bsRBL6-amh|(=$i?!g
zKxvLKY}?&9t|>r7x2@R~g%2p8tNjZ95e-ZraL6;~p`|K{I90I7y&#Rgv{)XHd2RwN
zzk56Oi>siw9sI}cWr(B9e@c-IUrc}@YB7X8QweF!s;UOi3!);{@@x02On~`7TMuE9
zfZTdE{(W-iL;|jXupVOqH^$1Do#_-1qwwDRN1F6Vs>?{2QO^V%W{wTEY|EmLrx@iz
zmgjM@^p~l{dSgJp@~+X0OCzf6zY5M#S=cgD^5;x*W5Ay0b*?o^BK@S~#urJmSi_fy
zw!JkJkaq3b`dcNAZ1*_+7?$0_x&{rD$JKWEL_aalI%JnirZ4Dxx21)PBaaWKq#Hp)
zK&`*u8$r}C6DBOz!2rK(7(HycjiA<OCBBG<51DrE+j@482`=6t6sp|?;OlY+-3l%w
zop@BdvzHle+kB(BL<7(t+@CCN#*Xy3Y<1+CSm5<d-`N0q41SmJ`IclcAyu0{(!mr~
zNWIhi$A`-hn)AN$7e&yaa^M`aI>iclgeS5oiUuI#>Qxj}zJmu2pLS={U<C#yfvF3}
z^<n$J=gWVcR&c9wOP8n#7LZ^%oh1>j2NdOV$fDvOK27tCG8n@G-i{}ghf8&Vc=37k
zC$j;(>cf?9QYtLa<19v;+|+>~!<H){V&CyT&wm;;9n8Q&!&UEpNCzYnPHq=XRAa%;
zK?~Pnnc?5dn5vfN+HfQ0RqC+OU##QoI^!8vX2_+J{S&yX1=3#Go-s`$SnWeEyLM}4
z5b`iK?>nglgjQp-%{Ma`PmSe#wmUPd<qF++jcbDEc)+Q~$$2d8tC91YBxZ;U9J&y$
ztO*NdGof`_%b3X*83pDwW=QaIej}5n0p+Id>w|~ZuwoY9P>&E6;966BcTPwHO4S`_
zE-Gze<wp}(Bo$d<sbUBtK2-+;o^Kz2%xq(X<bp^K+P$!va*E<6st&;&OnbBHsbJ1N
zEb{aoHh6LW**yJAH6Y)6S)?OI1LTlnar)Zqa3WLZim;{{oa!Y+(_Em1*MeCMX-7DK
z?w`Y8`42MiS=Q*?tEL03$>Ku`T%6D%e()Z%8yOzknC@j0Wq=$HMWz0EPIxm`U#U$`
zhL(pDmT@=tfW!7=zr_?6JjysSayyp<i4HWKqZ^FCoSLp-OvMAb<--H}ZAoy$w1Vc{
zZDyFziOQ>0<po*gfghbLB+zAScJh{Ig+d*bRO(<paLnjlDf&tT5iVcjn?rjcd?mh0
zc!VD)NwIbp?h(Q0cB4L4#SZ=pH93Ypf^d?PmNDC!2>P68{On&2Xm}dQbwfZHei}5>
zN+=MaB#K8Qdy*4u3L;+i4v0WW^I?|iJw$L!{E%kN#trs&juE*U#h@J<D(4zhg}1rY
z?4A30psw8geDwu!py>$rrZlR;vTT9Z<v3n&U43+c<BkMm81XsewyOgBPH&*aDj$dn
zX8#d>CkYqlOqDe@RpAm}<sI_?0U(4aa*2&gLD0|pU+zf|fwt7<DjSOseE$Is--t56
zUuVPQe3A&yvfk})E)@nsMifcnmMmnw78namBf?oZhaKnZqTsivDgWP~9K18`*;__U
z0;doMp)u!uaNtTh$ESk|AYs-+<PRbN@_m`>l`9U(f6vsM&m+Lu0cz>9tYo;Moci41
zodi7p`ueUhn-X9KkyGYnWbn}0XuDY{32ri5ms?$w;ciI=yTC0qz+5N#ZZ}E6aw;pk
zMY;;Oh}>ok_g05;LW-E}h%|(*e{oIww99AqC&}Ud8X!>Jqp!Xp19pcrWsW)!AvgCx
z4aXBrxVy)O@hP($1Z7Y8sa6nSo&MJIsb(!u5F9c!XO{<=t9eyx>qI!teg2<=tPcES
z%{C38Re(jghySR!NuX(VMv^~D7c%GG_WbTsfRkGLubtT;f*h;)ORaT1NNJRD8%`yF
z9>dS5sNMRr!SBzwdKtiB*8A5r3>4uFJ3~U=AtLb2TO^3K8A2!Zly7&wA_R3TOgkS^
zh1kwX>KA+fbbjOmjSIUx_(Wi|EkhX&GplL-Dg?L;Z;~;3B`{n&B4GAb5gK}2QvJaQ
z-rL%CuJ$W}LvO=iQJ@0&Eu347{b&RX`mOik?kPfhIZdoPyByq!nUOHzq`*+!aAwpN
z0gTdjEYqT;!ForWXTX92Yw;foRg4I5I@OcNN-GJ~e}V>iE>l2V(S*;<P66gEKlbah
z?t{ZqEeC3@Q=oI^n7gByJm>_9TjU%Sf{OXokYRrcjPMpS%SgyUuh5%-#9?0OI}-m<
z<M^)6j+bic_R4_go12D-qnwb>b$V%1kOGv4OjJ_$r9m3Uw*+ujIIetT+Pl>Vn)b>j
zaA`<E)|q#SFEbf{;n`a`jvGes=$F{h^xqOdg&MdUL#RQ$%EDtr-U#ZGLY}7H6o-LD
zS(f_Hb!?4Y-976Yz`tyjt_dG82)uV;v?hN6<FW8R{@4{DRjXf_JSPkdHs%DVox<8G
zj}7r|VZfbmY+fx+5crZaRWmz=FyGn{pE*?wew?)aW_OAo*zSMwyX)42c~?>k44g3p
zr5X9xcTIUgVpx-YZL=M_;<%%K>6rlpGF^{5;ld4pp%iiU#%65aw$oy9t3HHu691!Q
zae{ih&8@o!eqmEpeyon%`XC+mfo+1513cd|hEnza!Wxqtz3Wcs!C*{>SCIK$(7)%z
zA)?xf9mbpwXuZ${|8ZV%>sn?Qa8s$NY3aZY{Y~O}Kcxe=GF}<qi(~{{J`wZAh`(65
z82*QZ>45O1PpOS@43NFw`_t>4KCGoE=Sb$0UEgfgaZc-@10#p`XBSw9uoLMNg~@p>
z$XR&K=IKrgvr`li?~|ig=WtKUu$30r4-IH%%F@6UYMvK|nkO*Er8GnTQcZZ7VK}lS
zL=At=v$bzun!&;nYuo*$G~v{XI-(0k1xa)RIToUGSZ)`4&W~6PFiU=6D<Hmu4f6^c
zz2sQH?tjf>bE4bzQ~r2IG45^bqecBv1J4pxFiPIyzorg~S|55!EVi&5jH^ppaRvK1
z{s=~v)L`d}?Te`PO$=SBe=%aShAn*&e_VD+4K5lCFl{AmVisnZ1ssVRSY(Cir^ppD
z$h`LTQBT{%xDGv7pe$`+jKX1!$3w|*O#PfHU*9J7@qiFlyEYZ1FG=aLFp;5yG3cS;
z$t_GEm@azjE;Urr{IaP`AVHAC`-u&@ZA{|ob&H&78i-!yt@R<0U~Bwv@}aS9Y~=a7
zifm6hkj%OuO{yjW^;L#=7b+@v{zf=<VTT?bh#OY(?dFrhMzNjUODb5%xE^0yum`de
z_8-5ttO^e=cu`&Uqy}@tAA=9>GQr1M|M&z0RcJrX7#VPo27Vuj3Y)#o0vBK9{uzi-
z0W(MLbXy87{930kt;yI6v96|tZKKK{`gQ8BmpvW)W_<WdY@Qt$XB`UZ%#>k?`8=c1
zV|oZZ+9sBvy?amNqs3&(m4M-igv;9*21qZ6>Fs*N1v!zK=3JUeKshrU@bf$)5KkN-
z(=+pcx<ut#OQj-o*ZEs5a4<vrkyMG>sl1S-i7d0M6yfH2>HDH?7U1`aD6g^Q2P^tp
zB3r8jaGw*q+Sj%h8WWA1q%;J<ZiWBllY9b{UP)p0++>Hu0{yOkTEdVU-j{yuDglW2
zb1h8*Cmc%mE<Sih6xIWeCa~EN;9){fVT>;q@Q9>TZI$eUh#$=_cr6HU+wSp`mS%2P
z6*!-%B`N_GPdi#`TnW&ml_C~r$qVnLqW$DANkS=es$Xpa0VcDboz|Y?11yRwTC-mY
zidr~M9+)8j?`eC@wR{2Cdsd7g=Zp+&epO!^Kd%S|r9C6X4}>7&&bIZ|nk>Y{Jm72-
zP=YJ(c(Z#Rihzi}ZCd88SEtRkym-8#1hQS0YvckkcyR7RW&H^Ph>N<6P_e53>yz`=
zO+n&N63wY6%%cQjE2obzyQ#w0xOv#lk%0SGv19)=D}&dA{bogBM7SAPqvSj$3EF;~
z22OWXq3=#+UYZ{XuGyiFr-{3s>iYe=MLZGi93iwBMDFs^!A{MfFc}zf`id%SNbtox
zG${6m8cbaBEn@p63z;5IJtMbBU=W2Xn2|LgKt;g7Y2WT0ylh`bcasbY`k|zgyFBUT
zQ|%gdMgip7T{c+z$UyisdCbdO8+iXJCI`k7K!W<INg<;e93OT%TdAQ7XIR68&c9KF
zQ>V?^XqU-A;dsj3#ikFH5xSfVFO*=U>!<Hf8W~atWT>mB41n`@p4aFZWuUWr8O^-A
zZ(oI<&Yi8s;Ik>A*lb=Ig7NR;xFQL-(mKx9Q~`8i?$1goDzMl2$$%3Z5d<ye)5h)^
z!8P`!>*>c-AoJX!S;0kRQ1iYXA*xLQzw%qR*LhW7^G(aTzaIgL_FPkc_mu)EY6cbe
z<CVd{Dl*wvQx4WY5d&(8#?XG{Ns-tuB`BPrjvefig64MtdkQWY!+{j5X{8252zzj0
zDfOW^#LF3cSa@U%cVj{Y?ms5LvDe092R;kI<9-L~?HFU|^=wi9uB-qx?3?L7+IWB%
z6Q}>p(-=g9lIfi@<sf!I-dA^#4Mv~#zSdVX2HBwLI|8(_KzDsTvga;6yz>#W&*`9m
zduC~hy|pxmEs2iVF05ln2a7emL;(lIRgI!FNl+6oM-j}E*mDMZfj)W)<ZqqviC7Q^
z=R;Tjh%kP^?pkDs-Fs*Rvx;h8eA2{#aiw9ov8e+W=PV^B^BX}gs%9t;5r)&$8LU>+
z<M_3TJhg&k07HdxD#e=ukQF(a+HF3Emz#Apzn2CO?H%0=DC32ssN!1e)goSD_>->H
z9)oXMrWHKW+z=hro0I-)85b7PD)+c#2nKE2SkfmB;7~E1lVMuL-^iU}5q@j{uTD}7
ziAsAx-P<T!|JEwbnGj~`RIU&B5+jD|GJ&^Q%FAn)R`GGFUn-^(dSKvOU{&*m9vTxO
z4^D5b;OlfQx<%r8kWNipYYwJ?Oz(che4`aSZ&qy7-boh{ZzxgiH{HQpGu;+S?3VEz
z6`Qs0bR7s1<A3!_cO4_#c=6xcQ%g8sRq?^DX>F)ZlDFB9maum1qL4i6Mf~@FG{+|m
zwPDs!KkG@|9F}$B`zD+90?s`hTUr#a1!J!dtP7@0VFL{w72GcKIHP3c`{6lFXb&vf
zzZNut-DsW754kmmU)dMbNwCs{A63Hgy*&L`U00b9&*xdZ@Z++HQK<$91s-<Yc-4s!
z>mHl%h|S_uU6Qm@QW}tW@xaN@Lrs{vOnR|6=^t+G@Y`(Zkvb5fZcV6HS7SCx^UJ|!
zXYl(0H*=I3)PY<S$oAYL9g_#Fz`t)Am-6-E^9oUehkrR()e_&}Df$BvzDd)#jdlR}
z?kX92&&B4lmsjHo^@49bo=@Y?Yy=a}TqZ-1LCA;3Q+4<`q2~M2-P3r9z5o8+H4^xx
zm8DP%H{++MJ+Aqmp21(mS<Cf>k>F>w$dOa}?f6sKap6<)|L}I>l&YglBw!4FAAVNm
zH@-bKRw*Pni!Xn?-oyE1mzR0I8`z9><K7(ql~3ZcxVV_=bpcr-Y+HU_8~V|Q$MbBC
znBSYjZz)EfesNJ18Yi_l9;Xc8A99Z6Py*-iH_e6g$6lyF!}r`<?tw#iONqFe=-mZ;
zoNn{5^ln~mIf@&|+Ku2n1&*z8Xc1St)V;okMHyOCoJ*{aj^Tga7cW;!EaP`<gL6ks
zm4G+co$G+z1RjEP|Ea!R!3U0TniSpN-SdRL65Sh9I8io_>bJ)lZt{YZbH0lJWVb$!
zE5BxN*VbDVS~eSaLHEgIW&!~&2i_MZX3gUN84<>fFK^*wyRq7Ya0R$x^7^*P`W&7Z
z!$5bdWe4Z|y1*vWEe`=l2`-*q3-~teCOJxr8WnpRD>dv+k7V$U0oz=}1#JX(I$zSD
zkE5-r<*(#`gLIKO?cFl|if$0P4d{>z?+}NKfE+ljTdTZ}Ud1abWXC19=ure0otX7~
zS(v;iZZPn89sjEBo*Xy62i2M;cD!Vfg-wZ<Ei?_Acza~Z)!;qM=#iC9PvS!vC>7>k
zJ7}<jYrf!Me`L>!PU=e7SBc6%B-{8K#YHN#-EGUcFu{h}x&7u^3Z$W$x77R9IU2OC
z$aMK}HwXH>p5211q`^>nImU~g4!z}{O6T(ALUVj}imBUDpvU`BjO80Ws($+3PgIx(
zIXWJtt@|hiTTbyDu0?y0{k}0J#uZ+4x}<qvFh~ka&e!-pYh^-B_l;&vs05IQ%~Q(I
zF)1+rTEEIC$BN|3j$~Wu3L#=s&w`@XuGcO(_lJLAL-|7sJg;Agp#0#@fJbUlz?^1y
zxT}%_-3&i=CCYpsy1}JQ7j#Gp_#PycwHR}u{{a91|Njh^cRbbKAII(O+Iz3dHLrW^
z^?AD_BdK5c%E&57%FIYoMm9xCLPjboQphUzq)j$OGBT5u84^GLz8>ds9`AF``~7;p
zj;hvtYk-gpDqW2n9KRq3-=E1CSI+YxSN_xX8~0^V`24rJxX*GRG#l<c{7L}5bxb)M
zb3`7UNXVZ5x=$XCdEQSidLe{{N3~{mrSQnTbN;mYoIKnpNNk%O5J4tvzwe%8Q$p2s
zy`44h6(DJ&*-DKdj^w}FJ~_y(jBHa@g@cChfEEs92;7%MsqL?7^3+sOqFx`ftiBQi
zM8CUR{6HEx4O}c*byi0cUfK%`;{?FZW(5D?l0}5>etT&vA~LH|8xEOJf#$U;zUovt
zRP%gZP{>mgS$tP0v$IeK3H)cVuObRa@kQ^W(Et*%qV&)(ClVp4#_8|!b39V0?1402
zGUDlqzxY2n5;#11>$QAX3GoRzc3D|yp?re!zN9rW)Rk-<m|Y+s1E(U_XDeE$$joxx
zZCe}sGKYsauc#oahp{NsOB)GPRc8Ly)Pw8v1!mMuRdj?@?HH1#jhb!4in&q^Agy1f
za`B)#iVR9e3U1oyizrL*=3gTSfA})@MW6<1XKmm()}@6kW8Sr<`(dElu_7X-OhhIp
z#ILT7kdbq$r{9Aq0Owz<%Y)~M$TiwU%R7yPD(Afy7-=XF9XV>Ybc2Wza|@;pj}uYo
zvBZjsKNK)sA}TM$5|OfPwZ^##HPj_yB6{nM89Y)-i_SD7q8Q%y3M_>L^lj5<B-O<n
z=+qYCw;yVtCAnjxfhr1!S5N9KE7csvS~df*Ky_67ca0NYFO8fJmT8`xH3x4+6x=kg
ziu^3nJ)`D@k?81#W7woQ@RC4CQ$+<W$9x-a<l#XnEL&IFs?5PoPV(cb9svdT@&?q(
zF(4V?67^J9b090}D}Kf+B3?rpnuqw`)RtoN7S{zc;LoMA{zR{U4oUXXO0RWb55l(U
zulbsR(ak4wkwdbGbn6z+<bhS}OK?|`&kzNqVh`bhsnV#zDd6>1G7W^Tzlk2VqQI8}
z%3}*&5@<5}{I2>5M)>?||Kqe8Q|K;?6;_H8L7Uu}b}PSFfWZTUGC5N?Eg#kq&?SJd
zn~(pKaAk+JwnjszTL7jr5oRl1yy&0P>lcly9FS(k?l*=5FyAjs47-Fwm4~~`{*7{i
zTfnKY7h)L1GRijHt7Acwqioi;2XPQ8_Tf)A-UR;VUEOjsf*wi5Z`ptc4*sWoOZk(D
zF+9|%Rg}B<kJ`|)&u3Q`2TeAjzZN}>ptG>3rf6lA`ZGn#WBnH=oE6N{4a_uzmy1DX
z25<kON-9d$<fd^#U(lkT&u0TTL~{7I^L~JOu#~x7UxO3kb-dTMxD23D>!yp{#~akG
z8#3&V2RUH#LRE{Si$3fp3&>Scd$D^#dW*Dq9H4tVB&4fS55~HVc>Oe)!0c{0D~pA3
zK)`^f?gtJ%XsZ*reL-O!J9jItS0so7u8}j=>-}}%)_xZzT;4L~kR%`5ah(I0UFt?)
zKnLdeJxMnXtYZSglwjU39MI_89>i*;18gkw{I=DbSgn$sG=n)OF#Y{_uCGZO?A_~2
zc*eFdMgx@?>+gGdwCYf}fi~ovp}%o+d>2E>*OrY7aS$hT`(l5i7LYGAI5v6Gg19Po
z2xkTtbhaG}`AN|N6^WyvwV&uf#FEB$-hmr5(~sYN+(CvXLtQgMstn-ewKhGy!ws=<
zeoG`zGSHZ|HVmdSf{7dd4Z$WJnAK11$=@QuCx4e~_t%-=@a8j;@-1E{GKe=9%^^XR
z6W5IvZx)!!dgV5izy}laq)(H^BuI5R8g_h&75D^A3uLnRK`-`V%E1{;7~?oc)(d5a
zjEi@b-ZTopRw8$Ab*?5{s{N?WAjS##k0*_qb_L;|)XmORdrfHd>$w8`I7sgC{KDoT
z4CZcAdG11*kWt>bR(y;boS*MF=8lR$4CWHk{euV}GDQVTj`F~I>W41}FN*<Oop&s#
zAwp&rz2GAcUT_OBHy<&UfW@C4YlSz65IE&)p%BdnO*cG+Tg9c|;g4AF&PXDFM&{<3
zYJNDz^R-DlT^e>Lx|jC{5y4$4N~2<10MyGib?5SB;BM#WA@dL-ET>GKUUL$HguW9T
zPOoHP=vU{Ad;$>$MEwmpJB4AL*W^;{tQ@!(x(A;rBSIo2dS94}C>&@T^`li(0GR=A
z>#89lyzEHTu%{7+J25raKApn@Yrui3Y6VSbGSp46Ym|W1slXkMSBjupYsyB9)r7kT
zuH=WON<kKF(3$`b0qW0r_l*6~1V2{;Bv3C6FNV5S@LtLgTB(^6aFqn7URPPIR?C3C
z$ptpIDiwIUJ72y}jSORBlOe)&vLIqGZe6;n3irB}ErWiO;hnn0b4?@%Deu}UUP!CM
zy-`JCREHL<b<|w4YmtZRf(v7k>Kee6@zg}8MH?vptV+IiD?kIAikk&15uzggR~kB^
z17m4DK5>0`DF69O@wx{QgyuWmtnbZH^wkHS&b29mz`+CGBJL2O#eRS&VW$sK@85Mx
z*C@fibce9nioN^Ief(>p&;ahx7oGnQPk{9!JiQ5f>m>rqAAJ972srBN2OdVspeEV8
zqU1z`UsqXJt&SN(QHaDdT&FVR2S#;f^lQMg12|>>aucW<Y$)?IQh`UO<hkmK)uHmK
zMi}!l1~QK}d|pSYK$LqAg;iJ$e&t9EpH2tR{*e8%CQSv3=F{HeDJo$5UL57~n!;^!
z|5t|RRA4A2eEE(#0oqkrS7>8Q!DS&uc1ctP6tRZ=>+^WH+t;`~Hed?+vjw`!x0ONa
zuIc&gOnI0&yA<_Em;xsP9IVHt36Sh#hgoXK!g@Jwe8HFk0)Ny?QgH;}RH!`g`mq!Y
zw~JbMSyLcq-KeL9M+scsM${UriUB^lqP7mB0Nhi|<=MbP-rd>N+)Y6^`(thCpfm-x
z-K1pqe^h{5Rvl?gcs^Lxd796#XbQzogo92d$-|=`0`}NtE_inj`|_*86f7Sxo|C1>
z!Pt2t`{y@U;nm;xOPnW6!TS4rZ0&{&JU#ffO+1AGKA9L!Ti{ILdYfTd>2qlq{a;kI
z+;JN4@3(T2tpfNlaD~TlMiOYYX475QH?fv_fymEC02Bp7Qz%!(p)_{T>)`!Wj9B;S
zwB!T^&&<DOi(#U0*MLW*A^$fPsY3qwSP}zDsScZ~m@rsmbC7J$%wp$_$;Ez-CLnoa
zBwkQL5Y%r!kGL2&jYS`4sHeMS3<r?B2cHE$R9@jfQD-!XB^;v$rS%!Xw>5)w!E9cz
zW-ah%x1GQaP8u405jFy!mqB=DZXQU_X0Ci2Hi3O+#x1$H8^VQLUIB3Dg0daQqW1}t
z*qy-fXJ?-nK&bT{H?27i5EjMi><>+2>%w{jm4Es$&>@h253xb;p{o)(PiC+)eb+9Q
z{7)Z_o%nL*^8gEsnEaTUkD9}{S}z^$eWC})HSRW-l9@r+n@v!mauL&(;g5X6zQ>(E
zji*Ig7y&1`aNjk137c_{s}kAciz1_W21^bDP#Y=FdBRpOrkBa1OkZ^%yrioqE{`70
zILn371g~L@`BW!2GaWGWX;1F!qyzDb(Q@sHf3W_{a98eXZMbS3RhdMhgX!2)k`HP(
zvE1iJnAix~@LfGjH>Qae-fO<RvAg>h+bN6qjTLLbNhZtYjX+wki9H&3=EM%xQ7-<X
zOiBx==jmf&t!d$7O=}w|hz5e@IPA=d$RMDgIxT2H3sRrVcO>4>!lnGO^PGxgP!{m2
zVLU+#6?Fm}A$WRd@nzw~JtILR+s5zR0$Ol!Yq5^I%K)bcqpgQ95-45dWa8PT1$})_
zrC~KD_^jnyI^CrSjLlBx^F!%iELz>b{wp&qUojY-J*^3kHD-0(x#&Se>1_X>d{#)j
zf1)#rK@+^s5^<;B)5F(7z7HH%*<n`Xq)BTD5ngoKHuL8(fISoCB=>brNPS{g!DPM1
zg&U$L`7;=yd1mX=vt}+>M<K+ipBj*?!xiWLfC=trSr&Tl^-J#uz3SJN8qheLV_`VN
z49=Xd@98=40`0rjb&qOwaGScIs;bKhyrsv=f7J3pHmh9vQ&n}Ss%Jd1UBd<{flwEx
zB><$%ofztKHR$T@`}WM41Bkb8M_P6W0&iXV=D>b6xaJVVmaL2e(<8@LZIgxJ%OK5-
z=y_FW?Elmq&dUvta#t9Ny+vVXSTW?{eO1^>8S;LG=YfjVH)hH{;t-$C-|;n272e_m
z`@E0v!gbR-1u54hLHotv^{u0-uxrfW*qOrzOUqUt<NT%J3xDVEy~C<t(%kdS;x9j(
zD%(=5cq9W~LXwmIoKc0tWeyAs7X(3k!^W~{Qx=LoW?zXZQH5xKC1XK;VQ|}?eyHgp
z53HiuEk<-|KuJ2@VAUo9X%~ZChC3Btih+(TK2Z(a$o7M5_r+lM(BFmk_KJ|xv%M{1
zqz-r5+Z8Ff5`fS4CrwW)!2|n$&6_eB5Zoc2NO&p*YbOh<w_}u{nB@`YJt-pGqisHw
zwkQpkOWM|LWmMsvZMAmnXCh=pC26bj%fjHl$!8&rYT!<Z)0)fCghyYmX!)4Q0iPO)
z-eB+j^k4r?Yfd7;sB`J<kO+DB_~y2Zu`3b6nvDJ$<&#0Y_WM*}jRIWlessBzQ4{Ku
z{0y^twLo*|ZI$_NJP6AR7BSq=gz(-utw-uQaAUG(r%_%B)N)Qu7w>4oIr5lxWvMRY
z(=Lzs9w2~LbfU){AOUa3WN^Q+K0LW1d2-xM8N%Ab!mk`AL2P*Sl<c$tnA#|?3puEO
zUg@b}9u*SY^~&gX$ld!lCDi&h5LEa4$K~6~M@`7K$g?uFGl4jmh_C5Tg>Y%#__G8}
zs0tNlQeVeFypH#7g{c~}dmHyG*%HBm(Wle(H9*-5kHFjuY7ikj%Qh6M4*D~#=az#_
z!To1qoMo^Y{H^hNVY#XTp>0+;MotP8r%Cz0QB{K<pYsJQlnL;@w1UE%NP!xS;kfJv
zs_@90wx^kd2mhf}U-mHyINZE=xO-d$yz~rpv<Y(X%#`-ShKL!QiwcDHnZ5JwIgXK%
zG`v<nTyT|W2IL_Fd@Gdzeo4+ztk*=L$6{x4ThR<YL{E*J@Kb^;J2sxEy?JThIOQ}%
zZwA|EJPE5icnH;%)X#9?hB1A&Nw1F-Se2kJq`jyBlpg0a0+9t)>ifRSMo{2yZo5P6
zUJjG@eAIb=kOth%s0Aq!6d1`ZnZ4vF3(I)|YHa~)*vi~&MEwg>ux%d{t!|Zu3BqB9
z>47PX?{LIE11nP~AgQR~G9;mLi{GNTrxn|0U5wxU3g8;d9{#yZ42rEhZ!&PdqniJE
zBxLIaP@{g`UwB3suH$WX-W7bOt}KmbbxdO5-xp=CepC>?>1%ynd@@1hBqb|zGhjd)
ztTugQfe%~(M~LeFNloq$KF^?N0-GjzS#tF}puQL!rL8tg9aW6as<JbN=d|zip8Ift
zK&i;8xWpWFT|&tBNz@+iravfXzh(!TnEdy2YqQkW1BX<Ustv(5Vmvt{gas0xwugP*
z`b9n8KC!Ft+W<Uq37@8-8Q~3&YP7@Y8R{I}F8&J107iC4$5nsO0l`&sqx9@F6+75|
z`fr3j{5->F<d;SR9HbQu6SYZd*m1Vy!=Lov`x&}fW!isOv1ILx+lMjgMO<9AfrK8s
zJtAn&=Cg?j=_lxT9Ui5I<<a<_3)O|ygo{t3EY`7YO=jwg+Cgfo`wPzpy*i-x_}oi|
z^cBpCtQ#RV`GvaDo$};?t`0opwfWefwS=)f-D2-I=%#kv3YO6>(1vm03$NGR7qHBi
zV-eWZRx17~r@AD&HvGNwrDkC97dEO{%5shF4Rv2s-dXZRE$Gb=Gva3ai3R0+vke%j
zp(+`%h}bNWp)Nh|nr6l%Mzq_FK52P}I+IGdfO(U_XvMW7AbuSC{l`(TskH!mKo+uI
z7$d>v_LHd8{vX)Ggpc>Q-q&C(C#?1LJW0TaQ*y759L4xV|Ex+zzs5XuR03%xHQ`OU
zG>bsbFt(tV645#K0o(VMs-x<w2~!Tc8&B1SurQnU8gt=xOmcoUr+AeJD8I4H`tKmt
za8P1WO{5!pUC5+!AespKHf=3<h=Z7jv0;m@OdsaJy+p&uLj<PD-vtWI->^FzI|)K+
z{TO3isO{VR8j!}z%o1Go4Rie0V)|j<AeQ(^eAFgb9k8Ze*7%Wcm`XpB)yeb27&cga
zBD+Kl94u{IPrD6bhT+^4u^*$@p&jGo*g;k35m&N~R``y6NUN@Q%^Sl8uP(DM3aJAA
ze|%vP8bg>?zW)4ZzyxMX-G1KSr~))vDilKGFqVEzx2)#G6lPs`@%*PkWq6P`pxwkc
zigog-7N|!2!~$dVvuWlDdr%By)Lk6Ko)@s47^(k-<+94o>^C96vki~#$iF`@u@l5D
zq%@Ch-_T}E&f4>Z8FN{7)p6`S<$kAH+aeZKANr(vQ4w(CYX;w9CNSgry1L!}maxBK
zGTQZaieOQ&K<7?3g;5H=>DtXKV?Dj6`O~WLkoGRDKC^rp3$5T1NG)2$GB<=1l_l{Y
z_<ZHke8LQNbYE7wXxuvH&++V3MydkDi!&64-kik_-2Q&y<IN2$!-pXGaaSG$o|;#G
z_%@IEGWm&r8{EP)5}aqhhslGUF{vg+{Wm6CHrXfS@((-PV)WnisvKaa60gf<EMey!
z-m&t-(SU(`11(#a9K^JY2?q<WU>adt5t*5LIcrh&$N3#uVB4xZul#Wp^V+P6wKJgy
z*8aCYy;Ed??oL6fd&xSsG*~AxB)|yrxaUW7BxS)<hMBAA*#=hB`Rw|j1TzFNSLIvR
z%0PqxE$`au7RL9c!^_#374(y({!?*~frds|rTO50SdNa}pYa}cNSUc!zp^6@^kYrk
z_M$W}!tt#+JPijM3EscOE2KfSx5n|$U0PtTT$VZbfg9rE8}M}A(r~Tcrzh2h9%y(I
za}@n~fm(tS@mH3Hb!jsnN%_5e`!`dck-`t;TT`1oD^eikeaD?sjTx+1h?V_jg5X(Q
zCw8|&3d*hql=J(t!nUhb{mXD+7{4D^*qkH<30bY-7US$N`ro;mKPE&$R)qOiW3m*i
zx|9QBE)I%YRg?TvB_Q*@Q=5F96tH~xdE##?H&|FsGgs(K15<lL>nevdyk*@FfA;E|
z6Z!G^R=W($(3N;Jxk!V)!v(`rM*Lt%$8!2;yc~RsunK1Ck_OfrZ=&#8f>0MM^|sPO
z0p4$|G&%>!fMk-k<(Q)|#IkrMX1OaujKaP0V-#6XJ!y3C$5T;|%dqV!izYyr*GcVi
zJ2`M}x?0krD*+9zorIsSRp9rmf~sJ#Jg5hqR6V*Z1>K#wOswMS!0{mGnXWk=1X|6L
z{rqJ>{K@t86*D5x4+UL3V5$U{k6TGx_$LeZ-Yz-MMruM**%!N<5@q<^);lv?C=Zgj
zl-|FUBnZ50Qj!_220p)7S*z{w5ER7hHq=Lk#6w*6-JV4F@oFu^Ku`%9uNl+#4Qs*Z
zr!jjQOA@%=6&c9+MgVfRo8HJvZFr%WXJLI-3;t*1a^>l56);YA_-o>(15xF4PO&XI
z&~wS>Ae*@w=-6`}Pp{U2^K%YHZyoi4mUicvQoB05ETEVjf1(3&Tef&3b|YZKyu{-9
zh;SX-_O#L00o;6T=J6I2kWC8OFIYf?>N`#r$B$@(H_2<Fs|jEnm%;vnRug_&<v$SL
zB14y(WGb0~0`JXRY2~#w0dGn>x~@%vULK$CeRwl4e!6gGm#hh89S*S$!bEV-9PDov
zF^AVbk9YBJ6QT6|zW*+qSAkj|+#IRL9CjZ2;>Xg6z~cJ9+}<EO{5by1;JxiW7!dPn
zO&rjG)uGa`Y#$lOO;x}%ChddDag~0|SRI-fiy6%2MBwwIr=z$%-7GRmJ^DXY_^rR+
zON+z}N#A`RWZUn9lgGR)<aCvxRhBC^;R+2*a@dT-Y?wpbf|*V6k|NA`#P82w`icdn
zgk}Xsn!{s`-R6dD1-O!)M7h!Zn@YRrct3U44DMcS_BpOE2g<{hHSr;|=<MnRyJrW@
zK!3=&hGjw;?nP9YJPBh#mx6TC8Otf)(GodAvrhs#3HX->syGpgGw1XeI|cL_gM|w>
zg+VX1OmVS}8^yg4By9Vcf{N)(6U`Dolo6Pjd;jqu&Bc>ni~9kbE~WJMY4X6Q@0+V-
zpLmgV6J492HNe|jZgE~w>|kh<RokJ@huqrNO-d3lXrs7VWsw*`<933Tr8gg9p341r
zBgF*jgbS~SZR}tr5{oTer}$7%9(xw0z!=VcqzU#YUBwPpf1IXR@uAj*n%29oji6~D
z=dtJ8DeMA8p@T)751r|wkqKThgqI&A!V_XYVk}jz@#QnTC_G}&DM`%`j<hB}K6I^%
z%BdWjbF6_EZSYkbp`JGYS3}nSwB@I$uXbp}%(8e<L)q!$yzlj)H0b5g=R8YPnJ*0>
z9?6Ra((B13()uuVy~Eu2!a8-TwEm212ro*@JNmsbRu7)XqMc)|f2my2p%ph{coEO&
zAmQzTE{xog;y&HCOSPPzPs+K^i|8)D<+Sq9g}IvT!wnm>$Vk2>rg4N9^`7jETK%R2
zO@cW;c*p2bvG%a@oF*T-LwC$S#aRa;|1%K&QNf7r3}12{$m2utRaDX0F>ToQfy?{u
zDP}b1cyE|ah97mxCATvLYJ+;@(gQheR@5P*W!l!nkJ_kxMpKO1U|qpvRsD<&nOO4t
zN(~i2#H>w+k|Hf=IM@9j+hGpW9$_k;ZYhY)g<P%hGuML4{Ug4fE1ZbH;7u>0ErcFF
z{iA<%feeQ|ytm@>xloq!icOG_Fd9`ld(EJb46{N3^7CcfD2=@_q~BEpO}tleTXiG@
zOM;ZWMj8+DYm8jFlqZVLKMYV)6(<Ald=BOs!HaAbigz!si6J>l1C@Yj63pqN7TI7v
z#LxDX_{~QGnLLo>Ir)+V<r@i2TjBgj)LqE&zfDQhenj)@>s%5XI&Y$_n<jvKGzo4m
z4@;xZz$We#PlA{<C8^CyL3FviSh1QcgKz^EY56aaAlRJqzRIK!a=()3F(V_39_^Ov
z&RrqFlJT5=q_PO|yH;m^N=yzh6h)6LXOdu~q*?1wv?!WhotpR}DUVWccHj3`lYs43
z$YAY^7%C}O&<s&lK)p<C5&}~saDO*7=6XT`jeN=XUo*s`Hu>0N@dPr^cDrUo%u6D^
za;M*chZNBoNw50VWir@gSFAaiNuwtm`+pugsf4ToXTQ9iA%i&w>2SKB3>wk)lW+|t
zpmnbb=7`f;u=3h<iEdE_wN9IA1&1r6PqE9o7q+#)pX;CvO{*-T|Ea(9>6{8Glv6gM
zeV`5cj_>k4O65>i-v3l44yYn)t_GGbCv{-+U)=ijIC<oHCfcwDr-melZzjs<>B5Un
z(ZP5Z1@w51mfZhX4S5avUA33ggXPR?2A!&S<e=x&_g!2abxw&f@(Sp~2cD;fc}sXS
zSDD1~*hw96zrAP4FJb`R_llHy9w;K8$AXtOUDeU^f+|`v-Vh$~$_nUODxvDG0rw7h
zb#!ZrN8qfk5opygPNsD!q4TyrElg!<=+BCVB=de__;<@gtjC0aIO9K6P=BeSS>v<s
z+76n)^o(buUn&9FGf1XX&8nc3=*2${mKbCg_3rnrC7?V{Ih<3aGJ5RXcc4lTz(t1q
z`_U@`s-6h0>cI#oNq(0_HgZoNJ+#hwmw+M`<FDVkr-%mf<JP&l0m5<Nis{Gp_9yy2
z8=F!<QcdhS<$|W*d&6<UVnGRg)w<=zAt;ZuOsZ@LEloi`-A($8hZ15di#q$vSQcH5
zcyV3lv?)9<4H1&7QAEY2RTq|gq|yDEG8e88Q`oAK8S<IOqcca1bT8XTpw0A9R{H=`
z;A+c=`i#S)uk!|{UapFu&X|Wbq0Xl8b3Va<EUAEK(?sdThXql3`sX%7JyTfEH-h`p
z@<`D>He!s2A6<C5)LX=23I~Jea(Vaq*mWq6N&glP3KUIdsA&f<s1199=aoe?zV~TV
z2XTnSDnTeD6(AzeTtR_N2HAUATi#b^N0Co&(@@O-o_9ULbu&pLVR@hMC(<nFU*(3?
zr8x|Qg?`t36qH1Fr`nEOeaMKu2)Zw|TVwEGFyDz@TO4`pHr!FHrALa%vu7tuOrYR`
zzh3NFQIwo6*?*WqhXm4A1K(^L15<dR<T)galD%S7P8-sqFpd+POh=93S98YTDoF@A
zRMnr7yh($+zx;W!^w<bab&LyKd?$d)jTFk4C^YC~ku~`WqY+3O9>kUJ`9o<ft#7zK
z4YJAoNA>eC1eLacLnR0J5TB0p#p`}F=>Gr!0RR6Cmv=bTe-y`U*?aHp-ph5b>)PC7
zCLxs>X&|J?NPB9?FD0d+k|?xLX2|!bs5ERUt0aWV${s)eexA>B&Urr1b3U*4%Ty@A
z(;3Yn)-7$2%SIgC<bV<Lg$>Un$&4ISH-}gMp3vkx#c(G%b4^J!JC=^$e(#cC2LF{y
zJQ_MHiqcAv(JUhlJm=S8Ix}VpZ$?D7<`;<I8V`=$26CMEZ~k?9&K6TB<R5Qdn<$Lk
zdbt{JmAH`8!*bW*MiWryU7MhhCWJ~MB}wiqZcNnQ*qgH21dJIh;gT*vJh+i$K68i%
zW$W~XxL+DWL6`aG+ZzP2%H8r!MH4UD@_$zN4aRV?wRPyulmMo`brxD{$A|MR()J;*
zncy^gtFZKq0Qyx|Z6Eu{kLB?N-j`jNpq`R;UFEd^MtXdaIvyj44HvJHu6{9svgJKB
zUPA(?UZc)o!4yX8KCO<la3h#Je(QmznILvsR~!xG7sd7qv6?L$M$pKyF(EBq5F6#j
zIt2N}FxARA`^X&zTsPmmL&8-ED|T*JT`Vt-f7evIciAw&QYt^mP)r!_dhO}DWF>(w
z>cac&hYX=Nz4+a?d0`Z;V7vA!MiRrsM=~UC7y@&F#JtBNijPjmQG^I7)G-~JDRnah
z{}Vc#gPEdeQW7)ksw#t$bL|(O3K+rxJ<=%OMlmeEoOfX2x-4$e&t_h3pu_#@&s`BR
z;<!|sR7fSu<3h&#5?4AMHgvoTPZ||Rsf8LPfmQ`nTCeL{8%u}h$!k9kbW7mUf{n9(
zni6_wM=j@j(jo3f@Hws@k{EZ{xFqMG3RZ9J$St;^!zO$@6SOFW{hk$q+!d<WQC`m+
zFr!0?8@cEpRR*8Bdo~Evs^L&>kXRIp4*TE5tEI)sV&~!T4IN$TxM1;d`^}AX;8P<#
z9cq<Bg&$-72iY}IjnbU_W*;5ogNsZ(TojN!Q;HsLpoObcdJcy_S?NoiwF&#8h)Z3Y
z4KD?2W5cxuf^UirpFZEQcRQ?%8IqR*r0(jVl<jLJ?Tv;Yw~fhGFQ<z41^zQy+pUY5
z+{ppVT0@vrrq<qHQpKGKl1H!0l2LMU{@q!329#g_a?NH~4bPQ1><DzGVA;>uD*Xut
zT<+iAQ?oL6oqqNjf!%s&=f33FmS+TJjzLFSn>DZ~mV9+=zdmZOx$l%4&xBXM?6eZ<
zG|}8*U;6c6DwZa(_sT>W!-K|;(?L~Qcn-1@yGaK4`(9*U`Cb#)=b=^}^hg_rIc>T;
zD-E#m)X;m?i>B~ID^X$Tybfka<!k-mqv2xJS)romW>C2IwuyCsF80@IOY}<6&^N>|
z<I$)&beW{Q`Xfg|`*dbW(3k-l?M?Y4LA8YQc{c>>%1LM$+$1#}Zh*fG#%Pl}t$@2C
zLcPL*j6;9V&E%z0vC&GmA@z<md{zkDt$m%0Z$jk~boS^YIfy<n@QMW_@qHaeAISJj
z{%+WPHa+w(b97t^0XQSQ)l$Bdj5`A=`?%c6cr!1zcXc-am0-SidrC&LDYqb(ow}$Y
zO;xP1v4Kv?@0&$i$tXJV!F*`5HY&Z9Wf~{j!0uJLWm$bBjLlEmS!k|_qlDZ#=eIWS
zb-A<iD~p7cnlHAz7FEZc#UmV#e%U~p(f44lI9;@Q{#3E4TLm>F)c8gxZQx&0yrX!M
z4*E%)j@kTH0n7e<v^YAvQfErVwd$NUUf*v#5jiP?jmkzOpL!eUGi~{|D_RS49=^)2
zT-itC(cqSWOdGK24J)#D)kLp&ial$+7;;m$bG{3;fm3?H+UBYn_)PBIU9y%CE;o!%
z-q5gtp(_sY?W1b=p?*_CP}C}P2^7$2YX#V;v1OaYYgIhpaD;r}1Q*)>3cFf)0>H+^
zzJ9l*3fA5HaWT@F9iQIb#bZMP$jcw$zsIeF+3}+L)ekNbk4yB|3f*Es*sZPQalhn|
z{cp|pr^&O#@{7`IuX?TFe2UgO!x34GzimD8yl9G8b7X0zQr8+#{=&0wqB2<O|M7JF
z%Soa$+1>DRq!mo1*f1k~r7&S)Z^8B(6U6TS);q?PSwi{5O@+_361bccx>z7LL1brq
zc?n#WP!`Dc#Kl(}yZ5ztyX#I6nsJ3&5;t1Fp&Jh`Y!(&6O+1O$cRraQOm=Uglx3U4
zde)iWtTqu`WpKHhxH3sFjV(F&m&_p3yQb!LgAf+V=7^sB_>b_t;JW?3uNll2X%E*6
z3Sy{Bw5+W2G_n5l?(W;qO`+Rr^RKgK`SHott)0!wGsLrk#Pjn?rqFYJ%+$+@58cVt
z6Pf*U#IXbG>xnZaaQ>s4^?ULvWORSIMa(P^BxmdP!3pD)|I>HhB^O?F=@Cc`He4pk
zIz07agN@<t$;OHkcX)7BLHWtrw`^#jHhpSq2NS;g%tk*`<-uq5Ri17999TQMRW09>
z2|@!|S5AK9#x)Ke&DC2tu|D-{dr*rJ2)lBd-Ob|0B@ds_y>GcN!|CKiqPG!@`RoZ2
zzsrrX8*Nj)9C`52(U;2xJq%cvbM_wnH8*zG{q|&Z@M6q6lPjU&45(_%T6iYFgWkg<
zE=K40@QRBO&3(ZTN=H^DWXADeJ)f{~;|2lz`>~SFpJE6hjhoa1xp=Xs$U^pwxe%IP
zyEyhz&k**I?yrAb#EX}A@!k`$7eT2xhTzi=bjaMUa^vjTRhX#8n><n`iUHY^-O|x?
zXw7nVay`O_%i|B_i63I9>`-oPuSAEyYo)arSNSoSMcHkwDS^%8vfbA|(O?Ai*6eB#
zzz-H?)y%_^c&H|J<Eb+=*!cd~+YS>Uyrrt}VefA#v~f?KIqyINW6I+Nub0C3FNP}i
z;eZU*JoK@56Qn_U{V~oL=AyWFfu1$3E{9CZ?L+e=29Q)KO+7;r!{j;FD``XWm|NPD
z*cD;`eNXJ49;Aw+ar>y5PLm?`Up}*1N8bSG&%O&@bC$r48@=n^epN=b8$9{kd<HO4
zeExX*QAwO`8rpyNq$<8C9DX>qNQJ)}_vGq*kU~<+)hC0wYAC{L>n;*DfXd20tlbP5
z+$$$kGS{PyiIgMt;noJQUb+0ReX%SmY*Ut0)6v9|;~AGuB^$tK5D}xeK^})y1_p(W
zXyN|Hr)mCNG|=(7!NbL`h-arqPnPy*<Ad7O0>?aQ&|dOq{$i&R7DYLk(p+@$zt8$-
zp1+_$V5%vp^sNeprW`OmTt&j+LqFRTR=8P9+05bDuZr?(w-|@gDfsG?Vpw_y9saPL
zTh~0UhEs1sHwLHcA?H|h*76lY059ggpS&74Rk!)no<)7kUH7y9+AaoAK6%<ss%zr&
z*ranp4hAT+Y5s#opb<o!2$IVOElm05ooc|OVejv|a%c84p}I%>(~`e7#_GRLDlDL(
zj+$!UsYk{T_qd0jBSr^#p6xhXAxy{5<FeujvnJ5e7J5YHh%PE`ThbYEqGRy3E27&2
z%)mn9`P12065g3VcEHn@j>n-!i`rriPrsjg{C6W6EpG-!Oq<iOWy5%f`$kL1U9Y!W
zLV|*?3&Pj0AEKeXf=>JWCM(!CDRKSrBMP$EuHO0;OhXe|CSUJr7SspR`fteS;lZ3)
z=cvsFILMwyNO}PD>d*{vy&h_?zq(H(>*F8t@W75qfT=cV&KNH}OfAlnF^#6+i9=lD
zBFAk&Mzz=CorWF`Y?`V5EKb5628X=jgbk?6s<t&gr(jcx_5Oh~+W1ADE9||qEvP}3
ze}+5-ZO#a<@#xb)*YovDc-j`&O4_bcoyo`=TrQjjHC#M#?JNI1Tlkt7Xe#4ILb^%;
zch@#0{1jgMg(Jrn!d&0~Gt}2b-CeZdtBJB`C2%BN^pY(ooqX4+`BxjSJn@T+mzKmk
z--_~lf^8vc_VnW)H?{DJ-_5E_8Bt_!ERWrxV+%DdRUR%DnkXF^Cw|v}5BZxvh;@Cn
zfrZu4M{8Tu@t^k`e;9)kDH9YclXx5Wng3CMEm93V&P*Hc30)xm7JL#*Tj5s->i~fw
zs(8@!a_xx2B(ZZo@N;<;fRB<{dhR|Y{JrU-v(TeqLQDSuz10iARgCMB@E>_RoS9KB
z^65L_)?vEAuY(1xu}x2d5@d05_t~-ADy@WX!^pHL9}7yqCHzZwmd5?MC+>?dY6-Q#
zy4z-E*0AkZizwMd60g!uI#ihz5+*k~yUKT2fdeRg*Ip-%BhgKtf~;;34C5?n<~>U|
z73$5%P7%eYYgQ+G*_=qocx;tC_}v2THLezU#V(A~ALBOhyJQdr&p4YCH7sCjgvOpO
zngC{<A~Phk3yE!e0yh8IX%0FORt;bCR$=%Cr=GgVYGO^De%+l?GuR)n_qpFb9%Q3e
z6yB41PXs2Xd_Tiy1{2$UmSmphLb=h=*cRSqLilu6)bXvRu;Xmj(%TjeY`**Y=~wnI
z#JjJ*WP&P9Al)j*YH$lXa`XOb^zrT?oDSSpT%}|Jtxa)#=IU%{dD~OQ06sv$zhS1A
zkjQrKvpZ=FTtAN%hEkUZy3U88(SUy9v|RJ{v0)~3|Gd?txp#qxcvaBn+3}0;zEj-$
z+m{IecV2iliOv(GA7gcY!+#U6hF%BAe=ve@&-Q;FbF)M}Bqh8}7$xZHM{oMs8i8il
zrJ0SCS%Rt<+jcl)oRA6_Qc0_1z&8JbBbMniM54Z0KX^<Md-CTsUYaxDt;W@OTelfP
zw3t(Ec>NSnA*LMvs?rb)30AR>$qeE4;0^Q!&JYG~3M((!8iGM4L*Bq^hS**#C&+(c
zjxg{TS*5wcog0akj^x}KqOs+8M{&ynVP>=Q%wAtQ@D#s&?!Pimla3%~hUGG`K2_(`
z=^+|OiFo!N>z*Yx`5nuR{>g@cf69iukI~>O5peQ1&JkVzMU9=X<-ni|HgEsQ&>+n;
zm$=b1Ph7B>Ul&oviPaI)+?}BYu+fplCM>x~#6DN`@pI-z@e@iBj~`GWKz#gR(3vG7
z-sO{K<~$FoiVY=R8`p>BcZ2<zQf#=pb5OjceieqcRx^j}^x<0^n_DyoJ3g4pj($<c
zj|n<CyLr;};MA0M<I+k#xRY%1Dr8g;=c;OEcChO~jlCZ+MB~KrxUp$@2NC3>z0b>v
zpa3s#z@S1L7y9(=yOP&0iVYo!@p1iR_+<KJsl1aLKR7*}oOTq)^so6ltHa1pY?go5
zFoYNV=jt?n)=1!=-3t1tvm`i4Q7qP%<-?NoPc(UVNTJ7SB}cPsB#?`El6GaBAMXUK
zN-dCNFyZ8b&qnqn$o?T!nlLMft&!I4+a={t@SH`p4+jYjya-C#OcO!rxY+P_Ittk1
z@U*zDSr^VupSN56Q55_4YNlS<p@acDN*u&0bm3({k;Z2wan#xoy4c;Mf_paq-J-g3
z&I(=@&-+gT4_|)Ut8Jo&&wd`R3~twjnY$t4iLz3d6Dy)Ta!VaIxtUX2BuEfC@}x+(
zRvHa<IBBB1Cce$tx@jbq1f$7ckLIMxqV89Ty9@bRSU~#z2$xA<{WZfREI}UQ6OWZC
z`RQPMYU7Eq=VTzHDn@^$D`HT}zV;I<-t#T4E$#LL3ha8Zy-MVZGJ0q#hN=#bk$7bC
z*rrtvK4^S<F_fl?%X|NDnOEsyL6w*I2|Fq*1n&EB@{1a3rBXwAuTgQZ-}*<xoB@bT
zeQ1x<*1*Efys1(K4cVeE?K;Lr2it-d_T0xbk?fy&V5b-ze^8pPuhut&tf}|M{d=@9
zCc9aeql=DJ=k-?4oMOO+#LY4LY<2MHWnFqvk|Cz3L`^vGGGVuflOIo}E-nYJ=6fT@
zz^LOVQ@%YlhS0)u>ETl(d|cDKPGBDce=RpVPaiV{1KW%DT8$}qk>o*6zRAGnIdT*2
zVdhY2#wT^uR}bTCCuc4kWuWDu$iUhlOQ<_nH!R_yj}CWxMh>miZzL60>IPav@@gj2
zU6G2E(>or@h8be%z7vTT$pCHZC9R(1Qt?})tG7=C9V6r8oNFa*;McX+ZPYO;D%ho6
z?4i=|6l>#sV!#I0DZDwYK1#*4-{&_DhUw#tf>)+}H*LW@ar{(yCKX4Dp66UvB4ej{
z+%KTmfy2~gY8W3Cw_AR{v_DN7Gfuy*Q%JD`m!*eihjsLE*3b*RxHQl`#^=0sy&b4F
zA0w8z^l)$UcVCftW!ydaLw4wg9V9wZ6Ph28@l)TK8g3_9bPcm?KiF&sHv=CF+NzOI
z*4M54qOv$P1g0Ks&9sA^LyX0xI31k6m7){B;tlLs#ZM}|?I1})ll^^(7M4Azls_J_
zOnANBOQ+7*!r$P|jc<lEaFbsYW@r2%6t;ao(0$GpZVbFr`=_FgGs#Yy{`MkaBe2)I
zOUxExo?5E+`Kcn?+-m#$wr{Mfa+I8)D>e}6xGO`>RS7e%xgNAi9%TtWP!6kGdC%vH
zws&sv%i}{C)7_c(rdVg)leV8v1yK8SJYR4|8V{>{_VZboV@1e#kiumFTs#a9#K=qH
zmk@!N)PY5oe|EIKtQ8CDmOPmM#fqV>+r5z5{AJdyj897@>#d<g!jR-5ER4KgUt~-;
zvq9FLFYmi{TY;YYo>Q7xe8`o4ZS{O88_dV}pJiUQ1npG2D?=;(@@3CbM9LaAFdbhi
zmaDb^nyLRrQvnW?oBFI{!NvwbI{o>KX>&-Tj|DE=TO^2k|CkwO%PjGur~1U1=Fq(-
zLi}gnG!gtwsBY1FiDj<T*lc-lg{L91M_Oyg37OC4`%XnJvf`w-?=-13h2zmGp(o=;
z2-=eiJr6D}u-L4eEHBEM!Wk!t)oH<fL<J)?*y!~<OO5iR{p%hRxQsm75eL5#x8fde
zoRFGl%@%cQRDLpsojlHi9H-tBO<O{@1pGJ0V)FLIf1?`%Ex2^aGboFQJ(l}Hi8RN0
zuiyi0X-x1s^w3GPr;26Lw$A#<_$(_vC--s}4-@jD9W401G_W2=dtHD3YnIi^rj%;8
z-w3?;f1ayU`@+g3YlJ)$ontk*J<#R;!+?dj+PpCTZ>-_mM%{Ixb1V;|e!hhe27DUQ
z`#k^c2TL%nE4OTHj+LmqyvW;c2tM3*6#A(HEUp)Ip<kcOvlPOM>B6CgK;eHHtLQnz
z^37Y<PTXE#4ajA_p7~9OH`E8Z0o#7FWRqIDb6+m9bSQ1dOZL&h(<7w9fHul9@2XN#
zQ(k86?X-Mh&P@l`<nf%@yfIb<cUKIbFB{CXK-iJ1H1PHFG)Oa?U}Z_%Iu;J>Feu&w
zhbS~?UTBW?!bz69e_3CKBL|om<!soMU;uf`w=P+4o?^{}J3D*t<^-{8XClL^sgSVg
z3J(a+u-e!o^G}s<0kIw4iEvQiUzw+t$>&*?x&!4|xF!!AY53g}@2n5vwuSl2#5@ab
zrmw#9oEMnvPi8o7>Vf+!g`=nH7Fo{ghC8_r@PVa`PJPD&1)LXJ>7N#sS^Mk+iH=|a
z*rk1_CB~BiBVlcktElYoLoqqAC|(FokNS$PMKTPya65O#aX@N`oz0;(5xDkOx{{4a
zhIIi$*5w_X5Z;<$X-XFZ`>WkgeTqmRR%>gPv4tCsq*KSmuZqKu$DiNZut?yQx<<c*
zn-|<JjY(T5O2WJAf8Dy;bfNdkqZs$bRj`G}?2kpQ6#V?=e(>yJUFf`>=094)56Ma|
ztBbD6!06Kj*Y9*)$X3Y+vmFowA6z`|oGb^`akWVuGdhqI<P<4qCITZLdwMPxD*%a4
zeDr0r4&3Y0YkAfq3emhm>lRlj!}Qr*_O3NL;1XzLBf%1fIKDyC4UVed?N_3k)1U*+
z#clNuD<weS`}}!{yK0~;dL;G4tPWVPm^XtqNkQlxLuo@P4G^}eS5UUs1!I$S4cziF
zper>~keaCp1sSHYKE=AQMQyA>d{Gt#+vT3^a?%F%_5z>W4J7z9(c$-)O941KDj9#d
zbipe`wn9an3}or+A%S!y=s%zvDbq@V4Z|T?9%KrfYw=Fuh*tr*<wZyLA_|-i7+x}q
z)`RrSM~>PHs*qV|<E(T`A8tBVF@La8;k+qp%zL#uG_}@cyo@&hz4A&k#V!NzFHGW^
z&Cq~9J(ln1^J%bX9rG=chYqhz&Ik;1YeCq}(J#K2=&;q{r?H!}A&}?a+Wv^rhDHbG
zXzJz_?vAXn)vjOwm!0Vo#~vMEUR0|S6ktF`qTqTXA0}A4wFyeCCP9pFPbuRf1Bx`I
z(}R^wK>b~b#z+Pk%BMS;^?Df4xIMwUmDddR9P+T&|3QIRq1*PiM;S2W);Aa_U;&~J
zZw$L~>O+BElEjO02DIGZ=IT<k0(JIr5uYi2u+drUI%C3sS+6xx4SFo#Q$POT+EXeV
z{??$^5o8Fu1tQWzR{#_)y84DuR`O|ULhWV;I*h8PIKEr)(B-`40SSKt=%FngxL0ie
z&FMjB&DYxkhu5dn3)Tj3<J@Mwn`ial<&j${g-f=e(h@Hv*+>P+p;vlgi@K2Z?N8aW
zcsuB>P&^+ZMTPFth7ayeTJX8Tp~kVx4hE_hvtEem!<NwdQ|m6M!4ZcKmn;SBf!}rg
zMVI#!p!IENo9R;ktv>el5fOWc=$08xT}Osvy?^&IG^JqrK;*OXzjnY^di{9916^=-
zu+Oy=5C-(!Hn_cDrLQzKDeb2=BvGnt{GB+VN}=`z_}IZrI=9Z8h!!YB{E7IbKgoJd
zE$PbnZ3~-&*@pWW8W6$m%2>>7X4QMyuL_B?g&(`_U$gd81LxB$Lx;y*M8%cIt_P=W
zK&$7_<^75(kZ634UN135R7YJi{uOHjMJ5FvZ?Y9&quB>G^&K-r9`AXbH)8;q-|?Tq
z7Fn>j#QL`ti$vYwLVxEy0QbZnL@2sQL4cFxvxpKl{QckldtE<RkoMPAza~l?cJu6V
zD*efhaxJozW`C`Lw5sq@UX}<jlcV@gCUf8hn{dHfoYoMn{W&P<Ge2y#=Bj_w#(`<m
z*2<gItUxyPmzC`?9+-C`D36;tFx%&y{8lGR_(N;gY);{Txx5<<)wemYa%9V}&wdLC
zRo<<7Q*Md1?uh1p2Ul~T_tQ&h?+eT!<U*O)rT5dUApXla4|~`#i!I}$!I&B3I6Pc)
zlQPaa%DOis63vc0?b?p>re;7Ex4QLY!w`#*qdaQjWyic@-{=p|nu7m>t!xdU-&sNT
z#Qx6bu;Iw**R`)YO`zX!Z-d`N6D!X)Y;CtU8%BPc-qdMg0+TzYy1AK!EI+4VfhYww
z9KXH4JN3FT<nC(tGryA{JVO8ZSPm}}{v|Iq-&tb9^7w?Wq(w8)SaT$LRpT=8pxTO~
zC~SqZoRUpj&U6vCZaID2v~vGLfN#%@FGi61pGVB|y*~&Fw}Xw9G8>L<?0cc=W&}<a
z8JA1y1_;iI1J2TcY)JP?=2CmZ0Nvn|$7WiG2}W7;i<#GKNDiL(c+j2!<KyStiyr(X
zOj1wWxM|OhvEdXWsaivb=+FxCd^AQ(2DXe~FFTgW_P2DcHH0tC@6$<f6GRpFF*C;u
z4xBmuG3jk99qRWU<~?Qkk0=P)nnyp%iJL-UPkkUA{)MFF%W+Q=$vxLURUY9&9)8yF
z_&*w49BjH_)iy(nZRz0JoWYH!sd^Oi^ECJcYqh6}=ZNsh%kgysJZR{rTTrM?11*`%
zJ7NzPh%8ObQf{wR_-RM5`ADJxgikkAnw2dP7e>=!{C@LcyYb1hwk!L5|7_+QM+_TY
z8wwu^DG<Pm{i?lHs#HkHzGHXh7CSnYW_!wJ3Sl<+C-0{N`fzgl4xR%Y94K#FrSYgn
z1lO1(WY2W!K}K;#S%o3jO1`bu@D>q6muH2Y1I~KT+*QYEcb^+6+xwG`_=qF<N$<&>
zuPKm|>Qtm?%!`Fzitc)&1j=kZ;(o}P0@<goy2T8xLRnk#NzpY@_<T6z@9J(c#QgP{
zx=8TjRetYv1C!F2)*>Wec7hC1JCcpRR;~E3W}1jbtt{Sg;0u^HBEygDA?em%!uTZg
z%qk8-9%mn6!MXVrzuS?%MKDtocR5|w&HAp08r9!3Oxj7H`Z}j0YfucM4R*{97^q-n
zRMYp$Iug*V-PRs+mcYb{Z8_Pks;IU<b{Bjh!I;x|zkqj=NIP2X?N3(63&WRQZRa7w
z;qf<0y*s4wNN0+k;#Cc7I>+R4^diGInb4|znzHE96*1&1tA*6-J%g7%uH=X3<-L}i
z^0<R?qPiwu8~+ob(xaj%pn8#cr;}3=Bb`24No>-^LEnG8r&sHNPGzoCkhU_W+i(9@
zDnUm6?;us@sShvguZi$7Rq;<#^juau1v?A$cz0$}K_@DoD}IL>+FXif&7|vNb8d0>
zb2%DFpDkyJWvgQ+qe0^3Rs%FvaZ)$urNaS<rU$NL8W{0l!1YH04eybA=l&@eLLKv1
zVvoHRwr>8IXS{)q-}%%z*ZDFaCsa|&=ax3o#qy#exD4_0^iz#3gc1A?009604A*x&
z)o&CBaGNW8k8o`+F7CD0_i&Zcl&H+YuOT6$>`;;-lvGloB9X`{>-(f^k(G*MkBsac
zzyAHa&R^$wJ?EVF$>&arV)KgVl8WG|H^~(A^WJRQwf#CkcJY-vf+?eKsg*JD+Y}^r
zw3+eGrY=w=p0qHBkPu6af%+?LDpI!P`)1Op5B8TLx@k{Ukii~zp)(p(^disl{h=H~
zP&{Qj9q?2YeR6CVA0MZn;-J#7-ATsq#f1Osq>mcvukN|VW=}yrWg87^moWI7LMgH5
zAtSEmcV@J&Yoc+R#@=7)05yhkHHBVe<WQw=#^b4hDlD$??)Nu^``3ch&`mOu$~83Q
z*CwM`|AUcx$!3swq>HJ^k&GVlwd=2wRgfRcvEC=OX3*pH%!X}T4H4&>2|i<rXbjW8
zHK|X7yoDr%Dit*pdZIHEyCR2NvK@liuG66J7K00stcuG1PM*~fmPSh>!uut2Xwdk^
zxn^XUg!-oSeeS1-qf+ivs`tNqu`O>kGhP{0+1Xxv;wOj>XC_bnzDa|SLbm`SqY^55
zT~%mM&5a_ybtWbrq`@e-KECLnfWGqXIn^}HjM6B7mxnjZfF)>fmsh47(owN{dTo0h
zS7($Ha(rM00@GwS(McK9_n-ZE)wc<}eahlAqp}%nX^#3EP^D48l^8BUdnx|lS>p=j
zttou7e|hi}hZOo2B`Pqe(1%qN%Ekukn!-SkYg$Q%I6Aq()51S6h5eFZHcl%CxSi^J
zXK#%N63`m+`EYFk>py7q{v`k$rBzH|V}fWoq)%Uve+ApGwH>$?kHPBgRYg~0ek2=D
zFOcrKh7nI*bYyv90^tC^LmPO|>Y+l_ho$S-;K_uB@DIiymv(*KPnZ*xZg8tn_H1BL
zGIf&!BSv7h!zpo<nSh?^7TCG%-oWmcQhG2xBY1gU>hVcCW|UD}5Nq7Cj$Qq9_Ja3r
zLtysK=$GeaKwRvOC!&?sF*&`Drm~R+VC$bM^~!JyznWCybbs#}rV#37xA;jP=p5hf
z__?);1M@Q@wWF)pXY<Jq0bKeZB<uRl?ZhH};H{n2{u3)$a`*SF-A;ONy-LZy#Ap`Z
zH#Yp4<@7Q(G$^OOUZ@MLP9r|b+7o!J9M-LMZ3*lA=rg6utqVTUM!!-U2k~l`@G`;j
zMJ&_e(2v(%I>2;Tt2qn%fxjK>G4J7C#L5TaZTP#i;bS?iXG`x3Zh!N5DDnCN=4<@q
zrV^$N0bU{0@WYjORC#*J0pbESvM=gU@oO!}f0DNGg6AqW9%p1V`D-34`#JkMhNuM>
zl%}5&nyawy*4NX=YUZ&)U+=BJ`&1|?pq-X7YQ}2M*z2{l&treicM(qUQDMTTfzx!Y
z1N$A5e`uLy0kf`D>5@pKz+ma2W4lj%$I9^1mMoVAESfLu*j;`Ke5pwPt?Au|S;ti9
z>5nd8+zr0WFCS`xvPrVTz>@)t_0M2~;+;ioUPUK#m#iinJ~`Xe{bvX>s!>@Woms+m
z3Y<TDJYNH@8>$f2v_`R<z2QdY|N5E2C;qz?G@!pbxh4AYIOdxc;L)70g5{sPD`A|i
z4%;G8+8XFL7BnjTHf($qi&OBJ^ywypBiW-;S$G<|Q_OlH(rX<{zbv_|$w7wdm8l=c
zuKmIGH@EQlDQ#kBMPGGav`~W_?dBUrtaI2wJMH@ygto9acKsikF{)4$Hg2=-JdfQD
zK429sNe2=t8w^2hDzLZH_<mE%0w!4W_CK@3^l-#j{*(hz1uVy}cCj2^!fq}cTxrN)
zfCA@ZIm`YesG%?rUT!aAFRmZ6X%%4t;~ED&zjkFfcOb^9t6>$ZleNBhte6=xdlg-I
zbd<sAsPyj1vUTj@>ocr)Fe{YaR=yybt^}!B96xV#Z(@Uq5M1R&fFhx+r3HQ^pfp$a
zr^sz%V@tTig?l?7E!USQ6|V?CZt$Kj?4X1HoccUzbDY3$c;u!&zalJu6-sQRFaU!`
zz#ykN57=ZesIjIiK=+9~JdfWp0-X|Z_k%aQ@Zo^g@c?}V;LuX;@w8=z^0$1~cbM?Q
zkzWr+3x3LjR*;S(l4b=T=Zy@zc>(ZvBk)xyULK-ENLhzO2ykO&<;H_nAs8@O{m=T4
zJUp2=dRf?H2UOL#5hlNhfJe(}$2p=rY<Wf=+;^W7?$2H<z04~P?&^Ok5R*K7(Rqs$
z1$bcVyIt9y5DBmyxW`1@mILn>oeNz-yl~gCCxxGj2&QzVb3}f5P%ob@-k|4)^S?xO
zivp#AG5&s6gt<IOUyV`znIixNsq*A5dRaJg@08NgeR<exGIKB^NC?=~-ZNHZ%7L!x
zBjYwc1<-ruSZd%c0+Ktq*O$*Iz^~!eG1YPf;FoWu)4MGO4(wWmjOI!Zh{Xu@-&X{S
z{+oLrckKiZwub%OdL-C(4%qb1R|3JK3FGOzrJycI-~A@03YMFy?+BbEI6X)Zrp^+f
zfrPVHS(D*NeNz}yi3%vN$gS=_ECch#H%D`|HQ;V!+OEPvHNYDdbZ>o-g&X*uHYQ_D
zxXo)_-pQf?i*z%Kr63Q~M(+haJqny<FC#6wX+nqJc08>?0sd~cIP9080{7H6>ER^`
zNFON_5wKB$?8#t<xB)7tiWh&kd9MX8+M5R5dX?dXn5o~T04>;AfD2mY>OfGc{E2EC
z73lkz{zjxr3*O=N?XLBDpm*3lSiM9QIJY<}*M4h(QBacLX+}fXxi)(sVonYA{wymz
z^F|9!d#YBl9WsX1O4f%f>ts0Ww)SLGObcw@N%kCmh=I~xoh6=Hb%>Q=vlCXK0)^r~
zSThQs{3`NBjjRR~Ts7z17}NxhBTm9AzfD1G<La88p$4etM-$BVYXG%1o3Xpa3@#@H
z@ZM6;0FY<1o1Ibx;%cCIdJGLj>u+~dHK@bt`2`{CNhRnysrph)&>T{aSngYzAwyFe
z#!!jmpy6U8(;ZK9*x3Du<HScbsJ|^*us4MW`V~ISdy>uJ_Fty=j8>{Zc;oa+$y5{?
zKI&wAk2eQ2L{fP8oCM6e9NRJDykKp$Tq$+R99FD9o2fM`K}nSCsp@<d`2E_~%8}O`
zt|yaEsC-obx2`AKsV|qY1)~b=;7c0#oF?vZ`635wMn99QUNmDnvs}YZsnJ00E7z-i
zbutik-hzE;dJGSY@Hj)xGJ|yV<@~)GA|%}KG`tL}_%)XZU1jlq_l(*OyN)agIJ};0
z=+Hrj8gbK#xHwbb)3`0(F((RQb=^;RESb>9{_qFh^rlc7-Q)bwM+heBW$fh2SkPxI
z^2AsGKuPRld36nb;ColGC)Sn?ImPM7`u)b>n}*5BGBqA(G=C-Qe1L$`KAyKH&6vP1
zlk4pq-`Js5S?a++Edgol7vu8yYYZcwA7dPy%%D>l)@3#FFP~>VDJ5bII=h4C5-sWB
zqNAOpY7GHVccpH%7#o3(bd=qdbL*I!ptpEoC;?>(Bd*R1hQR2Ojeitaz@*^KK(aIe
z`K4yN`DPga@A=IAy@UyjRamYu17|}m>1GwP6Z)`YGNH9C^#^t(m3Q6Ml?{zjqC--&
z^r176Ab;s*2{!w-LFI!W8~QY4NB(kM5AMLtclnl$_<gR4`{6%XkzJ;h6LY^VWP6q7
zPB8T0L0W#7%5he7gGi@Sjp>3!FkP3y<5Aqm^yW5(SkdtQzm*v;bO4=Pps8J-#!nAD
zi5?nYMHxquylr@OV0^5Hq&7W=|Gi?KT&uu_+&-U)dl;z=ImM2(oj(?Fu_qDVV-wiW
zW!_kS<25aa_`=z@_+SNRqzt{gNhBaK8l9npzZM*Jw933hUB}x@e(wC;O+e9k3c=FL
zR6wN(D#wdA@%Xvm#=25=#8wm;ZxTX<wj}@S)k@oV?)&*r%MUvco%vG{KUOMKzfqY;
zXre=|Ro-PqOB|?;mt&~;J_TaK{70WKF`ymT8GavIE_ByEU(Q*L0`FYfiP<zp<S^71
zNgUxu5?mfU2kJH91ZC9XZY&dWb@UQxYU4qV3&N{v&T2xgW=${e5Hr$GQJ9@;;6<j=
zgmWz1nvkCS#-zxS743Qx&OqwrL(ygtoA%`z;EY~IOxLoZlY~*_LV^Hl2`t!@^V9$l
zIbyrGJv)+N2q_%07DRov<CPtX|K`FUZJFEb94NT{?xb{u5V|_wHZahp4jk6|+oHd5
zB6m{o;t!e#vXS_-X5^+0Yt#3pP3yVQtCyuVm!?FKij}ybHk&#$P@XpX&G4WuM?7v<
zsW@6}7ddksC&M(yQut>MKGdBg*zEa20{Kf{Jwk~kL+34diCo}E<&O`2Yb%vPQPKIq
z(cWZmpBYUIy(NH*bmG{2SBS_tX?ak=iwri`waXG_1kojr8<airGU%Meuru2&GPDzp
z53!vWMh4;X602^qsO;c_Qz3O^U~jjzXr>oMsfjwqiN$h=MbSD(SxFt}7iz~Y6pEpQ
zpW#@jpaNQmS=VGPP>16GZtdX<--&w6cYQb>sfe_yIY)?84amy8R&wx+Br=}*ZC$sj
zgq}9c_=sg{07>F(EWH*Hg*-Lt+vP_>d5?Z(B~vvauCD8>Fi4{?P4}-`Gb+gTmB`7|
zpPEo;)baPEtqfY{_>uhLlo~29v}^wTf&z5nvIQl6vdBB)v)IXxWJJ8}_qZ;O3S+a5
zfd&uc&_K=+lVK(ebokhnuhsXoAf#Pp)4Wn1Ma660xsjxS3Q|)}`BZAdm-oS(cE1$R
zvM&~*!mf$x&l)W&GwOokL}r=Nnj)%}>%A-Jtck*SQBR4h9(Zqw+C5@YMjNMlvU6iK
z(Y2+AiliU<!1&4#ZLBLJ{=OWIg@3tidQ4E2vmtoK)7;5jBy^=?USy}eCTg?j=^33g
z0`(VW^vtm;$fRy@zuck*%20LNNc1y-z~k=1FGN&PxT)q7hhrLOn<<wkYX*an(cHcb
zKUL&-?#M(kr#gD6z`kgo1z_Y_mqATc{pU?4ktbYgh)YtQe#+bw{xdAtDRD~`-J6#7
z8$cwKJ6$nr(qsy6r*!v*fhr0Z6K?;ktAzGyg+0sEF$2@2fnI}36{Ius#XB=b9#!tx
zMd-R_2I@@tw+=C>AnhrA@BGg)NN!Gnx>aNbKPDt3)5J(9Mry<Is2CA76qvQO)S1DI
zGq3bh7G-o8s`o9kh$EAa#h4*(2AA^cEP7fMkzM_@y7v?zWQ!7|C{N75*{IndB1{4O
z7o!*Ywv`vv7R?Boo;8C!K6Z<KF?n<`rQYN0_Z?`bKm*M{`kyOLR2Tfsl|}ul79*)d
zW^`_tw`!!>6ujkjoi;I&LHqroQ-6F5Ut1NCto1YnqG7xPsg;P()6F@Pge9Ez!;o#B
zU<&HGm8EySN}>>-V(})qDLnKUZbARg?<|8EBvsN*G;6IV)D+T>kL^4Eil76qmM5XZ
zlJ@Uku(<wrXtM=3oxQSt;2s9<#O_#8V`1byX7pN}_a%P7N%|r`GJ!KyFTP|l38EYF
zken!9jJYN#y70~zLx%JEOW##KWF{n5q)7dQaUKZXeVS+to{9S}vWxPfnR=ckJ>z=J
zaJr|V`j`<sy7CE|ZQ?@WX+AR2?R6MY-!}Vtk|Ct}+lcI_*nvJ)RrWub`iL2O?Q;9}
z)c|sGPEU4ju_4>N)0Hw6W!UgvmhYvK2B042L0*VwL7hsh`*bXxVQSk2M>#z7;qESO
z_gn5vsG{#f+1>Kz_@5xWC9g^kz%idLJca=s>g|_!poj2c`B46gLVED9{CG>+7#&JJ
zB-4I>tqJFo{&q*kR~Ke&NKzTwTR0ydro|%OiJM7Tdf)BT0msh@QhQQ1anb5;$jIdf
z-aM&%G}%B0QvJRu58qqIz1D9kWV`g^hh_#{=wE0<i?-y~&l9V7$;h*a_fLlK1KBK@
zdHmY&e8)nx(CrnxottJJFg%K@43$ZST-Sn%gG<~=!OJ*LO1QM5_HW!uzV+q4zf{no
z$g+&&EaBf5PBvBCoyL`tPB$<FP=Qp&ddXXK3Ge^T?qnG`i`U%c48FNcfj*5$br*aQ
z?=BQqd9ZsPFOAA%Xbqr1Za=x>`NKs#VqqqpQEU;P6gKU|w=`j8-=mNp&lhp`*IWz~
zx@G*Xs!Hsk8=Bx1TU>RtZxMHFUHPH#cLnF;oZa#j)P%EtdaiJoFX7IlQZN!+$3>`m
zE(-tVVfF15>6FeTT=~WxCgOojTyn@d!PP(m1dp7vAjdD`d!%WN9obuWtOtGD@#pH`
zs2%2c%XbC;=^ZwI>;WCpE0KK6(L)A?+_o6H$W>e?ww+Y8K#wj8R;8?nkRgedo8wl#
zhClPX@}A(%h@M65`e5Ls2G6;5oB5?T@JUiZ&x0){q$$AP&6J}GvZ6jOriwOk@r^vu
zo+1`>)YrN;X<G&4zuVnC6u5=Ix|Mk|`rn<fx@Y8^k%J0g^6jeedUPn_t$l0qJ$7`X
z`@@Lq2NFmG{yN-uh#tulGdb<9=RmTGXVc@<Nl;>78hGOx18O>!`&3Mg8<pu5{k6+d
zhUBUTqt)LS(SNOLkG+O@&}NCqV4|`zm=T45`4BTwNbx**<S-xlxH4rTTdD+Aox5)n
zezTxv$-sR-d->7n*0KzWl@dI9<aeeimknWO#^>5%1rdr;+>%^VgjM#rFHtG%XrF54
zX9ibcH1xG3CpKRZmWuXjy(!^92bBvx?s5@D57LA_c?T+j8TahNc_wa@Dj|nX#)+fC
zvfcs-TSfR}e>3sUCms|j{JdypR054L-t9cRR}rK-aHB`Ee5lT{)9<k!5oy;NeTIMa
zf=P0R;?nt1)@7HSZ1<(nsJsWB6RrrgAHF8pfFLsbeXqiZTNW|OMw}XMRs`-DsUKDJ
z!ic@1OG+<Y4!uAkJ9{xD`1Jho8QU=tWIMv}$Z)>`Dl*i`Rs5v{ckLfL?3ousO|<m2
z+gwVBa$)cL^?YSu9{U?gk(EGym>qg_MwF3x*>tL41qsZIb4{lLrI3iu_1Lr~6?Bk#
zX8%)GRbaP#pP#-?L=UxNl6IG?p?gt%lEW!#ka5i7vF%<NbcFx`M|0E>Q@)btT!=b!
z_c?m4WXht`dhAxDdJS|jJ5!VKhXz>9z2iU0BadWmTVLFKt%=lSwM^V)D8L)kTc{VI
zfYLJ?7GuIFXrMsgW8H&)-r_cW+q$5LG(rlZ{-{$C8kv}KH`0a&Uq<T~PAQ{&T}t-R
zQYz{-Gfbed>%y1NMM2Yl`;0&J3&S;n7Fv;f=z4rp4_+OdtjK3oMbe-l+#s%nUQb8c
zxDgEDY5W1R2vs!{YR)UMV}y!))#!Is${EAE#sfdRWXY(bBwdExnTlL;^y*%iVBn%w
zKnflpBNvGX;e==k5>(T*OvnJZT-34f-a#F`dm_|){FEj#o~}#GxMK==+ry^Daq8%+
zho9BRxH{^tO}P?u+6+`#AI0@uP)Coks|?+bR8gGQr^MqzG;sO-da-+xj0Q*aQX~E<
zAwH=c`j1m-a4IP$iQR~d!hQBgd1=X`Zk~OnHp?_{^ayw|tf7X~Yj-bxJ|m6nR7@IA
z%bEl5?~VICq=KlyBX#>Pi=)dQ4Kq$Cn1cgz|Imsv3AIPfQVSjlpg<#Y+0TsTP}QU%
zb*w-Mk&fr_Qrb9>NbHr-$`3RU-Y`q=7*;^$FTd;L&e0>jq_0-hr)f~@!I&|`B9G=5
z6W(2OoWsY~RlYc_nStA%4xcR<S=2i>AsmAt{J)Uej;JeU;9+7QqePQNHPv&DuOAI#
zmW*b9_imZO<AX9cTz^TTjc{9{_RIp7y27wn8E6XeM~M9goW#*>iM;r0nj6?JS8Mx~
z#eeSe^7JU@5J64-I>!zf(7{52<V__XfMRz0ONMg-Xi4vdDuKWN!;?w%w?;6~J8aeS
zlA8|=Dr|ZWks0BquT71^9}^h&%DbiC!G#=z<svNG7-3@DD(M-633R5g)uX=zq-k-u
z<|PjkxNI-zJ(Dtq@JyY$+(*plw0@@kIW{J+mL(j~-E9PY_oIXIv*^+H#rFypt&E^+
zx%zU`-w^UY-2N=2vx%R`{+nEPnGvkx*j{+%8Gu~N%&=(h65hBkNaGU^BNT~Bq;1UT
z1KC>X>4wHE{_#z1-^vRH;1(k)@#*S=NU$ui!D1ATlR=W#fB`11lbDtNd2qMj$9(gI
zAGl0%q@?>8JvidUaUXkh!Aa|~`58hD&KVN@Zs{pKxP;k-`ReL|Qf)hZLtGxFSv5fr
z^Q4Dm(MIF%4|Kpr)Lzvv?+f-U;gKUcN)Nirt6I;twZS3PJ^Rp}Ud;Wq$_sW|dML`;
zkso_r8!D93ZR^hsVM&Q>lQ(_oA=@bBo<pw|%&}ZN-iwW6vz$(v7xU;rP{~Jr*h&lN
zP2RkAshGmpjUuHASQ(%_RIvAN6BUvUWEnIE&SG|N&s7t{8Q`zv_nWbnRG8NO)yfqz
zk2y+JMkI<bg4q?O+@R0@_Uu@XS^R}XOg{X>?%{v$Wma=+>HSd(?A&^)4Ytdecmpj@
z^feO%hqNit`ZeM7H-i_^#;X`iuWmTyFavF0wv3RsCLFzK-)Tcy$KDM2x{0)~K&D!z
ztO1iIyzMUfWGK6d9jUC8nGj-wlKReLRjC^AbJwx4aPk%w>`#01KAHgE?~J6B>1%+$
z&S<~5G984y3_DmMvjg162iDR`)Pc)8D_hBu9=ryUIK6*!fG2aK@CinBuqY{uIu^<R
zk=k6+83SCP{64RR+l~xvn{tT{YZzg+L#M1HiU(rruIxKnt_A{)VX<TK%pen8$eLQr
z3%)H>g>FSPSQ?z=*ptoz;`*V3wha7$x0GjirKy63L7sc30UP{~*-_MUK>$M5dTOK<
zRKe}>Q<aJ(0!&=C$92{P;Z7;zKKU{g__1*-ad+1auv-w0kIWW^t*)eqX-5^<7%KSM
z*2@X1&FX1CLPcSvRF8wguL5C`-e`=K2i^!s8}AJihmz4x=T>`2@b<`qYkhjWP`mTq
zt~ZY*VD-`x?~^hT_=z;m@3_hbOh50rKA(~Tf0BL8U;zmn7v)Ce$NAxTRo7-FRT^Rh
zSAFI`kzfuP{AxZY2!b5ymj$C`;3e@$^@SA@Y$e~P1QUeecvFi0xmj5_G37DfbwCBO
z-)(n!){DTd;bx9@PkDH05Ret$qyo;d*hXxY7#LaWa~07k!u_BG&+nI1;aXo!fJxR)
zC}rBa?Db3u5+9bCR2@}=gKeiR&FdsVPk?$=&YA=|S@ryj?qnEI&zUg2N`zTl_U?Ih
zRp`xnd&CS^hb4~->Hif-14qQ!Y~gA(sAaUdo06jeuev*0Ev953{^+rYHE(sG6^D3y
zf20W%+Q=7cO*vS%9X#6`r2(JjLxy$VQb1EH;y6>NJm}jN+&W{X3Dx#;QE7jukic5A
zUE8Pt+51YA>_;`>RFHphwzW3&SvJ#t3n;<NBQYoSa}>~e9~4aL)q(bgqT8uQmBBHy
zY3=U^3XC}SRd-&~1BFKr$QVh2tAnP^BI6YJJ%4_3bhiO~RD_<3Nh)xjb6K&ug95#e
z&6C+hjlf@O*B=zA3ZkE;g|RCX5D9m1z5K@*D*H@*nrUjV8Z+T;JEjQ<>ymrUS72cB
z;gtW5RyAPg{vzVfp$QDqblYL?0QO&CzN#ldh64@k*ZW7*fv)?rh4d9uNV8q>SyCdy
zqw1tx3cJ<7Li9wurHUEc&MKR*{-XvaJ40totw>-l&%tuB)C?r`_f)8QtAR+)U~!qO
zBKVzo)A&`22Ddm5e$~lS1+zD48=<|jK<oFI?Q)?3*R2b$zU8UFN%4o<Y$-$t48P7k
z9!>*V+#p+dAPE-VxN@Zb5rZPV1;_ItG}v^Lv?hxvgYzEof+P_^P#R-$(>_6iw5`5h
z0ZEF`W#j1zPr2bTUtcKuP8xLD88IoW$;0^03oBQwSYV-CahSjHpEpw@EzTX5gKsRx
z>2LElF>EisedeD}-Anu*W;~ODW|7x*)an`RgI=X-!G<Yt|BU1zY!JbR7BUrvwPU$G
zcP=kSn?fu9!QSOENjN#o`KGj|6+h9%YI~K(6jaKUvj)?|;nlrC=W@abE>u!;Z|pt*
zhr;jIJMu-KUOFnuJ9`G-9Avw}N(69z$a_+8Mi8zRuAO@Rb{^+;e<<&M6oUY(Z!M)x
z{1Bv-l)f~uh_jz)uDkDP0^hcxZn-e>!W0XKd#cnjUKJzz`eD2=I8DTECA{MVekqnP
z+4N=n%iB*8Q>8}mW0jZj?H2;{Emu|fCN1M;iqu{CV}?+W`s<qhJ{Gte>*yy&T*kky
znF!WP{&OhTC45?j5uDN+AO3V*!Zn}d3(PwhfZnjLd#M#2NPl0D3<zArAC$+Yd`s7d
znK829O8N$7QgT<#&3^&^yF%KOnAU^g!ggvcbp?A?m)(|eW*#q)<j{6A(SxsF)-B}s
zEnxox0096043~E}m0ujdaqW5SnLV#@@3r^)H4=r4%5IUeDkS+SGD0ddQYw2EkyWDi
zl_EmJOh)z&*|VR2&vTyhJZC)T^ZCS9?a2o^FQaAnushZ%8c<Z(>}plDh}_=a|HtOC
zg#L;Dv5>T^4n+KxT37K5BHbxOsq^~}+8$Y>IcTE}+X=?qKBvc#5CW}zzUl({r@L5S
z;f)%+?=SUE@f${BuC$*lsh>mb%%q#5B-FsMz&|?KycfAnQoW-cI*UdhmevSJQiVn#
zu0(ptZ%AAIJ5T@M88rXR^trn<st~^USxWpxBf|O9eoM1r8ZD&?Jp1^j3dH=|NU@|Y
zM@&|7ZY4-hql#xJUxjWcL)v_PT3ve-8cw%-XR~VxeK=<jDsWvHZV2!C>%FW*9UZhO
zO6sRjJ3lt*W1D2KA9W2$y7U2kSvKf9I6Q@Vb*tvA-6DgHW8jYq9W5xn^?Glw_B8rK
z>5l;g9U1<+li2v_)HifI=I$jz$25A`F88=?G70RJXWoiD>_iXqg(<#&JcFKavYhM_
zCjpPu`0vKj9`utT6@LENEZVQdo3Q0cgvj}gdwrEZ(LEX6jt9TyP>Sv!$@ZyAknKNk
z@qEPqS|t99lKI2}n(Yyp_Oe+K*2`3VZdMPYMqL)#o(zj<SDbxl&%Ofu5Sp-SavMRz
zV+a4qhAyEux>vkvbrgW5u9*Mb&L|rCX1InmeHleOD)*5Pd02~Rpmxg}N25pSalZY3
zQCyC1p-mG33Jf~w*4!u2M%0P=J+g|nWC;n3auVPHn`dv%;c1ka((Gn?`x-hSGSE5d
zE(aVs?2&aQvuK{VYtdBn2I|@p-)D)+!nGFkX4RE>ROgBPpElnul)_Z>zVsnk(B~(s
z7&ZMtmGi5u-pB8t>Bmby`rej->6*G$wZbJde2ua{YH|;)%*y67n30AM?fp;YjDOK<
zQg`P+=uu!Sk4FPu*-1mfF(;e8`zt7ye#w?|F(sy|if14HA_e0g8KM$Y)=)mL0$+Ds
z9QL2f_xD^TQgA1|edQL_25Q9U&=tQyjV0-qw#76_g4|alChGl76z+IloExUatm9Pt
zpIS(Qt+H~?9AO8&$$Cz7Ws4reic9`|{3QWaUi_&(aeHW?*1wepN13o^$2R&>d?ldT
zJvUpJmjZ*kVU%3GEZB>&lQB(f5|EWL?P3-~iGA+K@F}#xV^m*fSG8)yA!@-6Cm@W&
z?hWqyHw?04ANOr&=sd(B?$oDb{Q+uhowTnfpTLPV*?t%bmllVuA0uP0n`kjK`T8Xv
zA8yQNzJ1GlSqzAN9B9J`J(j7>pr#STi-}NegUc5&h<oD{g;Qq2>hj+A9<SlY(iij3
za@B~z8jY={LmdmYyAt0XA}@rU>M=ZJc`)uFW~H-ih{rs4R?|Fw3S-y5)(QuH6@zT@
zj@^0-J62m;(M}!}#dy8k`Lb~0@JRJu%zOYRW_q%ME;UdbTdp!te`+rdMdwDvgUz_H
z+3VwVt%{NuJspEDbC)=HxACh<9pS|Uyb>$vX{53EQ<Y;kZ%TkXGtOVqmmhoGXqx+A
zR|e}(@XPdakOZnme7Q!8ASR&MF|E%*z<83lf=&Go?w6C~b>2!Cqqw~7t7)i!b-l=H
zI^8J^`*LN`77?OY$9WTavnVAjIixr+BSIDg1+JN>tchWf4I`mto+PYn?`gJv904Zc
zks{Jf3C!&3HRI4kGG@5>ESGyv0UivCUUcS`!iHKcYEHgV#%f8FRqy(UP=#8BS=LEo
zfA1RvcE44@<XRviFPRJ$vlpobJY_M#x)7?cTve<mW3AXDKn13^;sby45ioj+Q~k8(
z)G&Ji-p!_XHLy2fT9l}h$8=wRTUi)Z!?ga2eV`oFfE*LWlUGa?v4-gGm}+))EVnh@
z{GE+9aNYTHdgPT7_M6?b`^vN$#=-ljJ$ytLrr3`*B#sfWg6FS2a~;&M#|e4VxBvw9
zl>)mB5B7P@{`HF8Syjxuc9$Hs4e-c2>y3Xc38M<XU|zbfjIGOAN##lyf@4SWgI5D2
zjQa3tQj<OzD~xHc7m+gpN%HM=`F0Y<qiq@d!%YcOpLAqg|7QgCM>vOqV@X(me1r1j
zs2nCf5V~fOX$+VlF1D4Mge^Qs7PeKA!nB_MjCZ6x4EM%UWfCWpu(r3`LWe>`vEk;0
zhNsGhAxPvwY`Uc)R;_cy?gAYjR%k5B87Oxcx}|T=MFz-YtT$db1wLlO4t4F(Y5g^Z
zNt-)CKRx9zNA*qTARHxD<I^iLkzx#DFRbo`ATk&;(JAc+=O}s%w};<4WDIY~oi`$I
zQdn`~6^;&<DWobTW9xFV5hU)MoiX?%j=8gB{r0ojMJ_5^QgH4YLc&L4cz1#*W?*#G
zg)@^Hx-EQJh;D{37~){vG%SP-_++Pz-(Ub|?XR@AS`9$E@DZziCm(iH(k(A+jTwH@
zJGYps8i139(#ahfZcMT(P`m6D8!&f2sd<qDkXZEc-_9*|tR${EOVJw-8pXvC-}nLQ
zl0Usz4`#;BtEYTu>czwOWJK9TB?SB$j#sPQr^SRgbL{%5*+FkOKD$OkA9PY#$9H8Z
zu^F~Mt}e9fkjgM5Lw{Tkwx35{Kk;Z26-duy?U=)Z5~u8~TmHImJ^M-2nbJk{+XJoX
zrww>0cl^(SH&+Mfg!&b0)`wAwjq%KkL_9cqs%Cs0)&^4jYrWjEQj~vB_Tz0=JUn@I
zj<Qrr8zQSu=LR@;BUV2jO-bqDVe<8g#gA)R@OS$Q*U-)c@@M_}O$G@(kbel22eoO!
z=eYe*R<0$)IjgHInhy`VtCy)L6f|K#OrBU-vWk>wHBgC&;^BtRr-h*;4Ipkj&E6i|
zL~_ONz0K3XLr*DT{RM>vyt%zD)KtBT*tmWz3^+J9=UoB~Pk=hSFW{kfmZX4@6P!=u
zEAU`U8r>LOR0Go&3wvqbDIwnPQgIDCJDjj8_F1^925+yP$|8B<AnDV`=zG!ZVEN5>
zPkd7qT<T*>3RkIN<EmGEGB*cIjLM9J-%*9n*wQvdAT3a+e~Y%N;{e4wOd^N)RUt=R
zC=FewgMbk2CBvJXki&dUhND6S3P+ww>>a!h#aaF2zbCn1lX7k%$yNpWyAqnNQZa$P
zc+&YLGj3o|@z)&LRtEaBOGkqrF~c=Fm4qI99$2^(+-Oy#4Axf``$@X2@cG_W`QZp&
zh;Fy#F+HOU&ik(^&#kgSf!#9ea0?#@elh1TJfsY@G#kbpBX}5!N}khE6oBn7k0ZX0
zk%0=|?fJBa9Vobb;zvpZVbbz=Pg(^TNYqB+vi%&eZY@<nHa`Sm>s_s99+2VVF_9<3
z3!GqNAenrMUIe@w+;EhBWPpzK2dtdjaOZ;NLvCMDurE>82slp$7D9S@-%%dup0BEk
z^A-b<IQ8c5XUJfE<R~vWl^2{^UM|sG7l-8AV$P;sWN6BH#r18C56&sv$ceiz0ijwf
zhoqv&@CmPZPSR5VRJv6?T1q7$e0^!9wVVuRRnv40R|Mfn=Gf2Heku6o!m3@eNQPLN
z!gn1Bhag&cxrl;Q21aJ|*-Q+S;j*pq+LVC^7?0`&@*I|h2TW0k^o7b`w|q?HPPiz1
z*a$Kk2$qAh=TnK6QYyfJFHqg~5`$x|)Wzfy0@T}!2I$wSfUE3I(nlw8NY6G`+WH|6
zS9Gl?%P*?J<0t>(`j1P%g}@ZxpHzUsGP+3yB{c|R7kT{R@PRK>$QH*BDZ=|6nLF$(
z>hJ>`=J~XxKp^P!!)FyrFrpVE(TdZ6%bOp4ugOV+`Aj=CyE75O&pvN9!E1s^u9!s(
zn+yc@jg6Fc5P{%V;S)pDg6niUjzv>4uykA};xr`*Oc)9}FS=+$?YHwDJuhY9hVJRF
z`AbAFEqhy^^iT&DI6kkAJIDc!N71}2i3l~ruG~2tx^R&*qO^8K4#N3=^yW<{fzE%g
zOixhj!!Vg&I??XH`-UQ?ug)lf9IHuLuOb3Vad89s83Y)7*sB_pr2sVB8k1RK0O{`a
zTA}p>pbMS4SjQy~vQ=jsW1j=){r%EJE+fFt#_Qbi7IJX;ykoT;qXDQNcNe~Uod5xS
zeF3x%GGIES^U~|Q0qE|Xx*)+$fFzFzUj73=OX4h^qRKM>l}WKG`fxe;Y9^nVC@BHy
zly<wvz8e5b!k%_~n=Dj#SzlYniGlF^j}`YR10e3V>d3CiKx~$A0q4XacqzgB!*bdH
z@B#n!1Sw_Uv^b3HZ}LOZ(}<SxZUZRj^EA<2mjW)Qo@;+k@qjTU_s;ur1CVWCcTee;
z1Q)yZrVM6IXge$+zZ_x!p$uLNl9dvG(fwipaXeVm1^gXA4B-CBINS6XafmUAQdCiA
zf=ZEIUb+o{RGZ8<@-AX<CVN;gWu6wM@A=&Sln+1<vFY?w7ll&}eG(pLaM1nve5kxN
zK>K1#;|-E9=$^2h>k6ZQPHE@0{Y3=ESLEWJFbM&*jhDGx%r0{84-e5_3xVSKkQYRp
z0L)eQul$nRLexD(SlPn#!RgJY&aeO<cy8Mbm3&%9dW~CS3P0;Xnr_Jj$&);=l-&G1
zTWbx`UhUG$Vb_Do=}^Cb3NH9_M@ECjeHGCW_!&g)q6-QxPj|f4IpLhg5xj)bDiX_I
zZ4>oE2XeEnNB<pU2bVwT>t#1qk*v;_SmB;F1O>LWoGrqG1RpvvLtI1J5`|STTWv@_
zD)q&R$Ohv6&FP^A>j=L3Pc&tz7L44TBM(}#fbc|St=IDnWVkUW?jExibPMJg9xr7A
z?zK&wQtd57!_w02@)b=`tTpd*ILZjuKjb7*vFsr0<+Zr-9t|)mC@6a_!T|l<IYLRS
zdq`m(i~C7K4X{7l)b@oy57RkoVTIcNkcpI_7^m0j5FBn3{rVCe<edpUtKLijb$srb
zjne9Hh7%Bn9$J{Y{L9ITnhI)r=4#_J)Ih~==rX-8Ef}_2E>@htfx6wJ&5uHAa7o5+
z(^j1p&IKt|FutXRm1l$Zyq~MWz>Pg8F-ck&U1@uBTbUNRjb<M`lvD)~%A6Z7G-(em
zI?ns`2Rhi4y+LdJN(H_VNsf_z2lJkYJ3jMb03HTz_d0zQFlRHloAQkos_x!&NhUHu
zm4nI9<_~4Cc$1_eVnYW5<HzcW>?|;`sBKL4Rt7aCb>Hd(9`#TKXIOBufm<wU|AbK)
zM(4D94BykkImzG8LZ9N{Y5qs`Yo%n^;nDEgDP(~E2AdN;d|-#7i#eN2_GIWb4B>LE
zVFa64c~9|u4oFx4P(ZK0SA1N5(7Ab(5l+UlOyGZ_ef6{z7brN%a;?{sU`aeH=%pbG
zFdG&+>A&NKeCzUNwO|rlZ`$>lXkZ1(Z^`c?ffpM2_qjNM1X&laU#d~X1Kn1h+sp_b
zbQtq#>#>l4Uym*HzeDV>{ieH%K1%>>WO_>Xn}{GD9K|3Z!~tau!qm2*LO}mmk1INw
z2%}ZK_-ryK6b{jrt=<xbC#|p`f0_u2BCPW>r@7!{wg0t2OHp8RkLEjWL4<;DL1)Ht
zxj~LSb}aCU7?kH&T*$N|0=t4O<5_B6;Hgk3dXy;+T*fQoBDaZf#Bx8KA%qXeyHnGT
zM<k&9q8#I)Rw6vSi!-(05P<9p{&D7HDah}&zMCdQ0-R#gwqb)H{JI_W<jVtTz;F0_
zKE6Z(<*}nn@v(=1tQ+;gaa9J2K00>czmQ;W$l#u_j|iZt)<e4I<e;6#?;@268QApq
zdiyIxVWwr}?Y*xAh%{<9KmCggkt-x9dM5@t#S7+KS_*KXhU_+SUl~%fig|R~#6iPx
zpI$Fj5n=-(q~@Je4&DdNNr^EDcrJases53-lqu7>tjtt_@#`c}Z%+~)U)^Tiq9Vb_
z-p@s@lWJg5rlwKIBMnw(UVEB`kznd&dxmC+I{b`IRd`R30d4J6mCs`&fWcF?S3YQf
zn*Zt*K~-7c4t^qe5DCCfr9M1&NDIdL?hjTg$iY5+!MQKGWDr~38P&e04H7Mm2n#C#
z8uddTo|Gknsd8?jE>0JQs~x|c`%VDaXk81*gY|PWzaBTer3ct2^-7Mb@?g{9-0AE^
z0=jq1pTidQL0Rt4`0kiIXs<qy9uFr%?wus*G8ur$Uw3az$tb{>y3~=@Z;D`5*houi
z0a)>k=A6?|fKxg5m>ztQhfN2nV;AfUK=Iv;j?e50uq<}hVCaA|mtCa=^g9fob+Rr(
zvPvFY-p!F_7-Zm<!R-ql35FmuyP5e|LLP!<<ypG|B!L1B$=iAvf^o!8EdMM4&bsdo
z;0MHD{P+6n{CGp~`+UpI&sPo#WL*-1vV`Gh$Gx7WG(-54+4uIUvn;&y;)r|D$`5DE
z@n+v+3_+YyRDE4m22{MCMA0AThOGRVpQYyw;ZBy5`o|$DxWww;6KTi}bg60On4BTV
zj+OSN-#PG&#rNgJb4*}%U*c}!hyk$T7d?I-@G?M7-Aqo02GqlbUnM^<0Cer4!tus~
zj$h+zy~{=cj=DR~mPiKRY3y*S!(9}9)SDc0&e=d-NIu;4>;O>CP5zK8D-7i}Myx7>
zOUP%vaTV)J01>_A>?Ik3aBN>hOI&{nd2^Atc9Q~N>B(s2XH9;%Kbsbj@_PvJrqjPt
zLqdRLt+jt_lLrh-#w%QhIuSv(?5@po`ViO9aby2C7j#t?Nl*p0Aldn!OY~FqpfAfU
z-*%M)uE#NHe1F`4JiO)2d;h>&<W&N!^OV^k`$tLlsp)zog3){;f=L(3y!%so)!E<z
zsZJ8Ti6Ld(&S;p04qUn(8!+a`3~CcE{{6E4gmhSJRFyu|2H0^wM%}>xiB80yku_~d
zEP3$?`-m2l?%lH!y-x>4DPMS189Nc?AsL@1%35HCxOSH%(11Ln8k<yLA2KD>vafJg
z6Wk2_K5zEmpg1G2NYsA_d1lk}G;dr3j)z4KlN_mFE+Kf_z-JUGJaJfc$XEle2Ht#A
z#7zkuP87FCS|$)PD$%vFB6YB#%^IAbrhtk3#f^EB83d*SnYTIAf#VMI6Ne-FNOQ{T
zN7shuk#OGb?6lizph!@UAr0&zFW*e>W2Q^Ut;Vo3SN^Jk^(<$PR>Ka`&5PsvqVyLj
zDu~T;yQB(R=@S*gOWTNb)!#Z{iB+U8lq>Q4s0tv&#SC-TZ6xZ#<MdxL>j-zek(k|C
z70|yulE22ijTl$e)b%2p2rcO-r|PIOl*M%xvQTd$ndpdm<mGLIY3K*d;zea37)L!n
zOxQ+lJY;;=SF?-ow7aE+EtBC7i(@fO)Hd?jFpu)E=s!f5s8Bc)LWa@T{HgBTJILAH
zg-5nM6rgwXY_S}k47x+S+VZ_SNYuk%B?&SW{KRv~n&ln*L)w0X+SXm9FyB<;QVtI6
zO<c~L)F**QZ2uhZ(jKC=bjd`KL<5O_Q9>W9i7+xp{yB2wA98XlthT(L7JPFq{^Z(H
zf=Z=tler!gu*Byb=#@_okN*bOj2kJzD+3!dhNG15SaZCC{t+WgfBu~v|40#LrzS#7
zOsF7ZP*cvYj2Yg)`^I^9RRJ!qrna^oc-zeRJAYc&S%H2wnDwla0@%sN>6xWbgKg2=
zJ<S?C+<i0J-Pk4%lUzADZ<c9bJ?O@%Jr)k2-6UVSYbFm8X9Nf~m+2sqrcRtMoD;a&
zcz%`tAixc}-mCF=1`u&8s-)!Mh7+r9FMT}-@V6`Fxy&y{m<^jRL)v&C{Dmfu78?Oh
zdPS}<erJYeb9V=af`c9$2=}W0BnK3?63NbMtdLF16VY6B(1U$=UtIh_4^W9jROB7-
zw@TP&s9Ojc*B0-2`pAK)?3%jS96P-BQ6GGzC<0NYM+4rt%0YD3xk+gYPH-;a{O<cx
z6!=l6X~_UN(3DO|-)Z9l#eHA0p^7+c3fOtM<;lUUpmDsjHxG;^9ELNw5`ZRkj+AZ6
z!Kc)&7o`e(;J@?T?}&mFc*j#ycK8zxc-NiDz$O5`>|bfhTBIQjb)=vZl80)o1b0p@
zA!t7T2|4<oEadHf-xu4Ehhn-Dq)r`SNZ9ki-PR_6s$F@yF_R)hMp`A-8;Zj0irPmx
z8U^rJrm_BbS_#&Uv$;PE6ob{8`y|6oMeq(C@f+A6!r-FY`;J<1XkNIC%Sb1Js@0L7
zVt+``>X@3n$sh?;&x(jHMI;avIVNaHuM9X+-eC4QDflXK)X*}33<CAdT0_TFz=ryj
z8PrR|9&`QtO*v)Io>{h^eWMEfh2xdXyt3eXBfYb|P8pJ(o6w^c>cCzo_MG~X9AI6~
zjy^o-&-lV)-4|#z;fcTlhV=phv<(ju6&+QeOtxUwU_cAX?Kgs7x61?d_afu3)+%6a
zqHy!)CmpC+4B@);RRJ;*1;0knsDL18_0Uwc9;iBa>r3P)LP^%qIC)=XIN|E0*qVvJ
zNYRIMe?$o~UkI7GKO{p|^H@mP+k;LS;0~33sss<skr8=+61028ofeBXfbocg0Lp`2
zRbHdL+9j_91p}q)0%nGALZ>I<{B0#r<Y4+O$RQ8tTYb5cBZh$2dBpz`rv!`+=BukU
zGNAbii4U?h0)f?6P9BIN+|}-6BqEX!f1PbB{FxEV?@lX99C*yFNj8y-Eu!$$31``X
z8o~8bN6yV}65!2{k|Nuz0Ne@aJv&%u1d&e%(3%)I$X?c=*{b3Kr{8fjgK0*fo!=pz
zv?2p<4MG!R)L20gt<+<5FoNNSqI18Dr2)flpXhU@2DVCG11_8qq$$RJNsE?*09P)3
z+|&m0-@va2$xjV|xOH`J{F69*A-{3$>Ka3$#pX}v9&q3LE1zvDy%^kBD4=d~tVYWn
z=Bf%0I?>=l>{)!NFvv9znFS?|ql66_6D2hR=w1BqneVb7;6zsITp5>9vCBB#r5b?k
zjIxR)2R@*U+}n@YUPF1Fw_KXl0mxS{QN0()4Y8&3-gy_d(505un@f=hTtqa)f?GLY
z{iQ4C-jf|vec{^BRGL0?%wH8faRLv<vech^dv?)fXU>e5m3rWK^l}O>ff+nhq_4)>
z?xF9Ke$D6f>4J$+yjKwqJ?y&o-nKT{L+8(&Q0k=C1vWRQ!eI|;P*l|7uJ71I7p|PB
zr_#~^wN`1ti9?jo`ghRHop%?l&3}~HdrceOipz-8*zY19Lv<bQnmg#I)34fz8ZBru
zpYGY=-#{Aus225)Y@^h@fmC&rS`gDHmE7w07uitRO|L$&h0>mu)SS201ci+uHi?3H
z<lT?}-%FoObX6kXnXOO*+`EnRQ=BFckA&(^?dcn6Y=q}zGfo3y68;kv=omy6DkS@L
zC)d%sM4_7>+|&V+skS(E`UmpC(m0skW*znac=%IQs~XJl^!=ss!H{E{gUwr`YiNmM
zMa?-iHCP&+rxKZrMV<RhyDie!P${b01#!8m5X8?CIz7{Xo<ZOIetmNdl_X0YVdhf>
zLz=1+fo9)OFg(Aa5wnK&D!5gY#j8NX2vZH)W)JEsn;?|>ehsakc>TnVNd>M65U;O@
z4x&%tmDXv|b#!RvNAyUnGPwP@QStuj2>Q175r=T;I?DW9-A08~87el*nso@{=!*2X
zbI7F)RJ41$LM??1K{u_>tF}y{3bYNhPF9<!JFW-UEkcH&wO`Mc?PpLz&(Kzn`xYvr
zzJ{kPC4p|RjONVP99m*p>F8aujppWU3YQ=xp!EpK8T0>x<{x(u*_PTx(>WR`GmD7u
zmc79Te|HIe&-t$6>yJHDa>Fq1bH5T?b>N$<A6rI?zqskwRR2Sd%~0ij=TL&rx3>jM
zELYI|u;81avlN)akau~5wIZBnU5y@VTSdQ{d2V8SRM>E-%UaPR1&9r=t?h7KM|Zy=
zD)yIf*!MU6j|;}-K|tjhzXk6mI;dE<{N)!l_K5XZ)r6)zoZKSd(77$tg$)<77C?)|
zd&OmBJS2dM0h>k1#15LVlx0e-O^@X%`ZY=%aO8Oei&ziCKAJ)f;t!K&#4uMU%H9J`
zJ^Z(s@>Gce>sDBdwX$T!+J~>b)9jN4s*}gU68$K#h&C>_%6wMLR8_iQ>ZB~-NrRu#
zJE<`GK_nyZDIN<EZ3{0LlmVPnSVH{?YHW|*wl|7~10$CazhAs61H^5aZG|lw>`oHJ
za!vv#X6bjn{urAK=mcooJN1zc^S&4%+YH<oRkf#S#XD)ZQcMsTddq+bbvg`m^YLQ0
z^(Y1p2TB9~{BXjvK_;w%{v>UqAU}4r&B$@zNE#Tu8{IQiSTWkfueHJEf|%g9SBaXE
z(!l2WypH889vgJw9{5sn2qPU9<-i1_!Dopt`&A=5w&L``O-M`>8)zIK8zxA@li{i7
zBPN`fqtMHWsXJmAe{6S*pS?7MK6l~%ILC!447uqo(@0>Idqm;o0%@4JkQZuK$%Bd7
zNisQQNn-y4009606qk2A)&CdA?LDu(xyCgvci0)9bFG9>p~z}TlR_y(rIZm3q=b-J
z*;1nWMyRhcB9y&KC7Id${Qf<U^LUTP>v3Ms^Gf4^ZxONt7+wjk@y-%Q<Y?(LG5b|e
z$LTop#X17iD8J6NsFFm~-v_n6tEi&#=Y>alQ&b`Nk<7ub^U|oBqoMjHk2-qnWi;ei
zs0MD6S}!#Y$f2VBcjkwfiKwl7-HmBe9WMU6!SQ%j9-TWn@MbTY7AhN`m2F8Sf+(Z4
zyzMSLDif?9_hluc+YPUV-D9<2V(g9;Z>b{EsvHulW}+b1`V%glC&=Kx*}77ttc<o=
zdsMUMDacOZ@fDU@3he)KzU^z43aZZga{|{!MgO{L%?m&qo-TKCCE!)je%!%~$QW(J
zu-4pbwV(r5%?vF*X==#s&w<_pk~+v+?)Q$qE<I2Ra7FH18c1?W$UH1S2VE_5K1Ay`
zfVz+hUk)!KI_;g6;&@XB8Tj$Jy=5?h^iP_}KNB>O#oWo&AND%PDq7NNP{#xW1XNSj
z?r5Q!2|N7JdToRwDq6nx#h{g8qb}Hmghm^RD{P0TD0hj6fNKD7!DrT>FC;|G9F<SV
zr=aPe>zyBJX&@_cv`mwkj1rP_y%$x;h$OZA-u96heA2#swPTcoB$p;=Ass}d(Y%|>
z-q9R5ALcIaKS4rfa+_ft3~Fdm-R17+S92JQ<!6(4tc9-Dh_fPAWt7&WR?n|v0k`gt
z*5j^fBJc8>CE;8O=(+vR!8K0{u&KQ`5U)T)gpj`@TPGz^%CFD3JP!*9kq9odjaEmu
zBN&9e?S#<Pf~3bbx)#8QKPD8~sESSr%l~ry$ca|0*B{@QGKXj4R>^P2RL~y5D6T!W
z8+1ji!0396IpEpdU1_sQsAl$#Y{I}ey)<R#1xrzL$Z9aFWL?E0$xFxjgiX3I>lXv5
z!pUY}&C*%r$Dx2`u9)oTJ~4|0&ncxF@teW!0rw&{8(B1S;mf0}#Z^p%Tp#`81`T@m
z#4^2mE{Ql&3yb8q7@@<#*qFKja5Cg2uEb0Xv382jN+vPG?aeZRc`$&ae|3&LP8i)9
zUN_;lV+Bp8FSU!mFz6^bmiJgz5NXEUt0o;}1COcx379nnHWPP?iqAagpmeN##7{OD
zAFNamWio}Bv4mac#@NxVwkGRfadwc$-zCS$n1GG-S+2vUn9-?ONf&h%c2G7*FLf|C
zhHpwYlltCo(hI`ct4bQ!V9js&`EY;{7zha|Xv8nkCpezTzdpeRkvVa)kDu)TeHq@}
z3nH`h*X6iDWmY!GsNFaGb;=M({XuOKY2WF$g*t8XGFjoG@B_0YT|+n(6TZQn(o3hk
z?bfulW`%vj`YxVP27uT<;DQTY(JME4r`NYwAdx#ZE_y&8Y*=;3j(P7ehK;>f7C*6o
zKC|Nti;+HTGSu&Vqxcnj9G*><ddUL3(-Gg#r0ansYp?zcZ49$3xt_E44GT1D>B<MN
z>p>sscs=j_pP1{#vY7fI7Kk01BDbE`g_O_QZ#1T+vGaeIGPsplA&1XU*zTte?7#i-
zjtuV{)^vHM@j@Ic+*+e`)E&|RKM7pFT-XA3NTKMKq!=3<yHevKFr*C+#pY*Tefo!`
zS?ma3X=H<E%K~ZmL)zdJ*56Uiy@KuWO3spe#10WQA;N!tP$6GHfk^>d!(0zX6+KSm
zfOxM!?=yi^V10kx(eLaAR@&fT)cBGU#t+qc6*5ynW7qqM@VqVTg4^0b9wu(UZ?;BM
zq)@=MHT~kqA_M$#p%IlY@<8z7s#`9V0xJF^1_V44Bu@IjV3y(o`_SynoDMQX^&fU!
zI>-!seCHL0r}$x<&gVFOo(z???6{0v7T^hRUX)rEfR7CM+F5dBkQ&%6eQ;aXd+!4#
zCWLT+-V8>0q?16YA|}KulpPYnq>^{r3V}pZQARf>37$$6j}LHj!f79~g+Cd>Fy1dN
zoqA0RTyrGSxT?7zzcFU~f{-Z0sl_oha%zFTY^Il7G!K~1HMu^`6NB8lg^}4$G{I3Y
zjNLtq55m5!i&8x$pnI6bu-;k|W}F)JuGtE}3_r7Vi-8pQFzs2HVczZ+828uo6NEtL
zD}NUZWZ=6{2%lZowx7rD)N9GZ!S_kFjae@_=)0SC!J>u;FANqqeys>WSnSh2haP#z
zGHlJudrO2GHu%PHOa#26nxdZK@DLC`$(=h$g!GBKE#7}bp=sA@S=Av$5dZfa*CVG1
zeT=<9_`Bk;CeYo}(4Yhf5)n3rQJRoR>|W#DD+$KS>fz4%Dv&oeeTpcm1rl|oyDpQZ
z;lT;IuS_)ooNF424tHrms_#mtK2a7P#H^mKwN`_TSE?#ajU<?VE<3D<mxukYON8$Y
zs)Me794RlD469e`4jwg9fSUgC+hOO4(6yv3JEBg3c43az1KxO8sS){F#;OJNUQw#0
zn-o~+<9`1sUJ*{&7+p)hL4wfrbMZ9`RM;EluhqEyZW|W&>%W4?poI=yp5)bm80#T<
z&oyP(nq{m^#Ze$p+OLDtMi-imJo4X>3GkxIFF!kx0$AW=bbOv3+<w|f(ehM<Kn9->
zuXzf{XKiJuDH?!sPr=d2Fg57j!&GKSphAE8d#3m*Ll}`hoELFJ9o%voy)ZQ@9A4HL
zxAriC3f^1_<5>;(>!NhFefykr_M0C+a+!dlRau^^4iN~iHN9OUDd1_Rf4-)|6xzRZ
z4uAZQ2>GthSJ%49F!9{ynkfMQlaVwGCu%}+kaHOSC<(4z%m}$L0RRlLMQi&sL8G!k
z!@5WlF0K9P*^H;bonHTtY7<Q;V2JM~D`|l0oz8AsSu=>}>U0R4B*L^3Q=O-qDmXb#
z+PNo~0Xqxsii0x|d|$X-ia)6g7SlB2cSB~7QC`G9bW;P2PH$QH`r{#2S0sLj&m7X~
z?T+_u|M!lki~J=PIoRb8o=%rBhx5yA49{HD;PV$^{H_2Act%}N`?=kp8gEm%z_fi|
za#sB=TVW6?C6vuhn1N?ok<-+D72v9!940#Q!?$^kqx^YhVD{qm)MuPB<Xg(Tuh(RU
z-;TvGFI>#PkMVB6rCW;NSlRk?&VT`SydzBGR%o#Qi3#J_x&q`}e?H&Wvw+d?5A+o7
z(co2qbO>9pJP_oc6kq%D9YZqP)2mDaMa^Gd4z9?+oOD)u;=4BNXkDA&zY2h*fggT@
zN>X6_K=-?6;v4$NR&>%Ma{%Sr!scg##UZBfLgM$#9=hLr@ZRG&7%Wx)gSJHxz%^=g
zC1j7#6>1~#ADT?Tg!D;sFiQwZW(u{#+$ZQImCnk2Qzqd4A&6l*LJ-sf!Z>A){Gi8o
zsfgVcHv!|Y|19_=`C%p{mLnWDNhc_cT6ozQgI-3&z9aXz;S6PTV&c^g`myTT2a(r|
zAdq8(?&-q;xWzNYJ5s*WEf$_|FQFYE_CPVhKb{o^CR(Jwe;=oFa5nHJvF?CzizxwX
z4rWjx`h;(`kJ1@A8=ojU8baTSyc6*g1H9M%_bukqF#TjpjG6Bf0|;zdPWCL?z|<)R
znr|=l(M4M8Zi@WV2ai1li%qbK^#$a<e%9MfU+xsL_~WP#H&e@<wk(%0__LGgWkm<Q
z`Q*Y(QHdTL?o37VWeZrBPf0}!?E{^NKQbgIq6Yy79t7%Kp2Hq12<iDge@hp6xR}lr
zt_#*KSx5L%XE5?cK<n;rx%Ar?TYi}S)`8o_DbJ|v(^%q^amH%-V=VHXkm+4_9q{y=
zdKl{Q8%wbDL01)DW2XPf2Yu_%2C`$#gA?jMF%D7Pp+s6EmPcO3FWG2=&y=Ms+o2y=
zbXx57;*w9;lfnr?b2AluEdNnP7bh^K!H=ZKf1k0@HWEqGnhF-zU3W7LjbkC2d~OlU
zJ(&OPw+?(CDIlG5WUyIi95eWgHhnqzuy5JlUhUaOfwKlp6<_1VFlpT`bx!^vOguLI
z-0%Pya52&TJQicv$L9=(`|pfkNAFFl=A0sfrD;K>t<D&>-m{pOku!$5ekxKGUm*b*
z=h}ANbqxE#YWCt-%LJwjA78U7kRabshwFaH7$&BXm%G6}iTR!TN1C<Q0(ZY-WG(%1
zEWcvx-|<7gu=!`ylsDHjfy3bp^!*;k$m$}Te+H&7<5v$EcWv`xT|^>c=+gwI)$&Y7
z;`(3ARJyhN%9;iQ=zN;i9r%tlO`E2j)SSh>H>h6T4cq>um_xiNIf*535hGt!%wdMC
zNHRS}9lrFayimOP6Z>m=-Kg*20`^oUy4L5L8ib@Z>}F8@jS+P9uWYLP!zR<XOCOWe
zfb(gOX63&rEZMUuGDC71yP6WBMvGB}zqB9}zBP?CZ}j`87_DNLd=ufoF9Ng|mPJ0v
zoWWL37332W*0I_LLF#`U2(W8CD9~zb7E_{JXcCdy!mP|6y^wyR0(0<-zHjF|R{2gj
z<^3E3{AKF-%|uiIg?Rni5A6$>p^mFmRR|NjTYeeWk);f3(Jn%Kk^eAiYqtrX8Vig*
z-RbdOP8s&Bx~t3{TE+@3j%p4tvVm3Adf1L^C3u~qXHt1?6?2Pz<bRiw13syJ(Y~jt
z1bE&9W};Q=7@EGZXTyREq~bo@bEYeT*~44E_ULb6nTriB9<O=eGsgf6(Nz($q~zDd
z))`<YE{w(fG(QY)JzF1N!$U!>q$KMVCfE^Xd7qOi2<M+Y{2P&vhr?&18h@&@z_3;6
zi|d^@n7u35rMu0=18b%4;u+Y0Xn|J}Nf(A5wi|BOmGB^t=60W#l>@H*Y0EvBBnrFB
zImL{Y6u@qLv#QOQ3*w`>=R|A8!DDpkeatrnNNm0>6#JY9c-i@u`6Z;FUoqsHXomuf
z1~-2<bmfQBEz<ex&t)J%rGl4pPywzeya`}a5`?MDIHHEBJQ#h-<R`G=VdN_*Rh^Cl
zx*eOiK%)Yfth}@OX@iFcJ1cuiuLuJ};_f87(~2M$6`Ovy0uNIsw>F5UMB(G2tN%$I
zWoQ=Ntq0bM;Pj~M>%tXr(226|my{vE@_JA{6R#2sTPGdcY><SF;*jYPB{eu~o6q!>
zOBq;JS<EtZWuWeE=kp?K4OmY)99m$b0w!svrgnGB!7q=i174AukUsV2hD0|3c$A#h
zQuZnUu4C?n!6y;~5>Fn4Dm8fj!L53{4G+nuf4<4(r9j{iX-R2W10udWDK7R_f^TZ>
z#4r*SwC$qCmov3sj{6dU#;5|;)tis1%(P)+<wrN;AQ^16oDGbh6QE~ru57!J4w#>j
z(UHla!jYjZr^9Y)(7yP@){Ivde7xCNn{#vk>kkY%#iRj}jysh2^L1fxT;LUFzaG@b
z82Pe1B*N=4tE#+pU65W}<9Ui1!p;TpLRLX7h>cF)?XX>cUZip2bb}G7glCM;9VEdc
z*8>m7AL+up*11>O&Zcmg$X4#7ONJrOS3ZO7I>6#(Vny`_P~Cn0<GlxDFedAm;M26>
zzAIB?T^0>)oE;K1Z6(8725Pw(8x?lOvnInUGw54%(n4Ki@MC?o@Jf;lU-bBVKV_T4
zVxkTI<9sp{8q9pI8q$DoAy5B^yITOqo`b5ryT~B8lCEu!5rBE-%Eudh7BE|3z$1Nu
z1nh!c3xTnCc$WaimGYM0b~xzZ0VXYIdK#P5JR=1a1ha4-ElYT^FC}8ik_aJ}m@9>k
z3W2#JgGdFJCER0IuzuyJ4j--XyPqCrhorCMrL|fMNc-fdAE&Jf+L>q6(l+KXt(lUC
z5B6BVPKC>UBb&+qytIPC{qN{odv)xaTFv2*#*^^wIz{*@xj290#{&Ix`SF;36LXL>
zqorJpR)E9z^5#X$7?Er(hg(aI8KkCq;5F-HA@=W$Qi1_H>YsizyU1+@9q~-Dx#^P7
zdehH^#flrL6`z}eAR2tQnzvwDB?<}Ncdm-b@S*yAyrabkK*sBsBad)G(8el8Kext@
z@)v)<jdKDxQxdrO^aMXRHV0SUh!a3OH<HKSq+y^SXs8CJoKUBghBNCFK<Z(H`2HuR
zVCCEWbL9y$EPwi382DWPv5r|=lgdoM-tf3sm-q&jOmr#c=n+7~BsTulc4N5r;d@y0
z>^$cC@79^hG657_(HLaAZUjOX%nzpp{J``wEgv1ZE`a0?st?L(8^K7BWZ3YT4s0>|
z%hhZr0rapo`Shir9bg|xM`xz$==<_{j6~H1(5)Z-ct5%!XohF>uG<gO_offu|HvtT
z6#7;5NJ55S&0(5x<nJ%KW#+D1)W7^_a0-oa`x`(u!gQ+5=IHz0QRQDu@gtprfS_}q
z_2J?kh8;?e|IvSBs<_B=2%zGm8<jte^<lJJ>VsqQD*f1Lj<1ng0?5i~uw1-I4_GKl
z5=YE7>2HmW<mH|eKpQi~JFAuTK;pls0oh&#w0r#LluxYyDw;Unl##6qC#~M^v<zlK
z%I8}4`4a@ux|cjp5kVK`?43zItSso5KVN`Tfgs{^vt8^f)d9k&!^?_WtSI)O?fr-5
zI24*Vy@z6^1AnDy7k{&{qv{3IDD)49E*_KH+tjNKE|W_G_BS|?<k#504h=#Gg7+V5
zIIj)GPKgKKa&Vzjp3fqB3WQO0lw<5632jKGCveh}xKV&)yY+0L2r`X-y!5Mq3h9^1
z<f6#D==5&Bz1t><LbQbCYtB=F$3Wl*;{YGh7#crzdP@vN?`dJP-1eutr}DkdItZY+
zbPB7KlLSh?`LmI0mI6za4!{007DO+jhDj5Rk|?}?)4bpf1%_v96EqEQs8eR^^Dbv;
z)KXTm(v?7gTOuWL;^sogaih-RF_SF9J@CkP_oINs=Ek>Qp2Fx*?cB@hPjV>nrEs_U
z0SXwVm~M{5iJ(H2)s)aadE|hFc3Ig|Kw+|chObo=T~7T^@Zz8XqQ85>`ehFVLd(ip
z>=ngPtn-wU;a@!RShQIaIZA;KaAn5iwggJJwYM^dM+w!A`^_JTqJTSGI<3khg+fN-
z7?pLE(YkDpxK=d<SU;a(T*{C}oD1x{QO8t}hrVIg3<DKBuBEhzTg#$v4S$)((g?_^
zSjI=)oeF&N+0zw_^609Dt#VY4D(VUinX~ys1yTub4ELlwTFNo7>)=yIeI|DMGMu%c
zeg5lF^hE)=$l$UxOf}HYv{S5l|Fl84E~Js~10JcCEPr0{BqFJ(U)pbrbzol7t)rN(
zh^+h+S#wWlqRQ(>Jq}&dg@Z@G?`walgc2LL4%a$sA?7Ye!oxFqz}2vo$o)(i2@iM-
zt4fkkg^Mhe<*YvZr%;-FCPf9!GUdI$@q)Cii=LtBO#{HD+*Bh%2uQ&!YSe+5jAnmV
z8P*jWLTae>x`&-AQaqrvah;EhDt^xUc8~9XZ#SoPMmf|_*ORW!)}JJFgTZSiP2Lz{
zE|#Qs6sn<ftwy&9$4Mww@5^CrcN1vZP~wu)R7bJHf!Zp`T1dVWjm;*Q0?AE*K#f&L
z4Y!hS7@pTeHV1eHy2~-RgNak9b=&oP8;f&XL?l`NdB>*Lc0BDLQL+1|j&^qp1fTU(
zN1mE9T?yR)3fddlQ-$iNEw*Wk<+3WeC+xa#X9o>#4lIg(cUMQxN?prN2C1NB$=Zw6
z(KMjS=Lm$4siDlN&{2CQCA9M6Dtl=?4ZM?%g?Q1_5Z`RzsR|+<DHG1U7M!5L1zr(>
zzz|h*DR@(NfJYv+T%6$cou$Dw6|MiW?h{ar-_homEYgVM`?3<}Pa1GcE!!mAQ$ax7
z;BF#|qf&Q`bALb4K#tcU7`v>DW|mBH+KYsdz|E6lq1$}K4Yo^sc2z=-HLTmay&x(p
z@=KwepuvGze=Y+pMRXwo&)a*47tx$L!UmLR@b`^|`P!BO8j;5omAg66*S6>F?|T3O
zH$YgVOCGI7R_-4eWI<NH%V*541AHugw=d5_4q1<OUebTUh$1R!duT*})SIz{RDulR
z8*V?fD!NJcOEGik%)($;zfG*3TMCVt$Ju1dt<t~XEW%ZOnL+{c(xZ!f5@`BnZ1A|=
z65Zq+^S(!9Q;<JidcT({hI&t&^}S}eNY|Eld9F3s1oq0Lr3{9MAj^2#I5XP<-E^>Z
z$1*YoyRLBF`#*$GYv-5Kg_q~)?!!0d{_z;Y%IJkD?Mpc1`i9G#>Bc;r{RG|Vn7a`q
zB>vuXCkdkDk6mZ*EDQ7%v2V>q#XG>2O^-`+n+L(!<R@j{7wDl*JI8VCJ3z<%t4b>u
zA3DYG^1=tHe{_!kJCEwahA^3Rw@B8K2NCOis!EfV=yun(Vyf#6V40Heh5aoT(kDbz
zW$s#`OOlnQr3nUbhT3`@AHa#kA9OLEA+6E9)6VjaC+I_@a=0?9CkOIT&L7sLZP4Am
z-(=_C*xs+=Z&AI%*^&3#z-#!>EqamE7xl+}dhp$CIgh8E4e1D<+=~6ffW}`<_QZ_q
z!Z86cRuxA!#4J8;U`l2}S9e-|@AuS&uITWS-0Q69a@H?LhA3t<HT1LU!GI2^QdJI~
z?%3u<oNB_Wzbxn?ZbPQgTL&DK9+%p+Zr8o=+Rc7!=tA)y)u2gjIOR?CVxMJ2yoz-d
zi!2;Sg+pffb&xiE>YxQW7_cGTM$g9M6`Y7=>0(M5t2WRCqdQ31Y-m+0CMhw38~xPf
z-MpGgg^7glNlpqo8d0t2p`PGHdW?p6XFV#6a9U>HA7Mv^ij`A_LHy`(akBl9ZVH^T
zD|*{i!GX4%_U``GA%LFfUrhZQN`c-bT$185P87ZGUfc5xL1aZ5&a)v<V3vLVA%#XR
zBz<L%rUE8}eloWtboG+KX0mpol9>kyNJjMYrwAi$R|Tc5J7iG5|ID82I4`<WWT9on
zC5lel`ujLKl0mCKPAGDo59MSFpTGS;3<(PHVLoDH$g0wW{(S;Swt<|OL6bo4g0cT5
zxA*k8Pl7di=7OkqB+x*dOA1*;qx$R!5?D0q&(&GuP?$#B(4jeLv}<~-dDM~wrpw+!
z!9GGr;xczl+L|m{KXvp>7oG$<hcdkF9|@zJOsF)wFOLkvuF1}elOW}fNUrvz2vYHP
ztIm3@fNI21Ag2Zi%DGLxE;)!HfsyvMycs+)cRwqn<4%GTvGw-YXL012H?4S2UkR-T
zw6F~qlb|4XW$l!|B#KD*&xG@~GTM)8oEZ@&gYb52jU-5;<`b(=m!?%v^;y-glgG$#
zM6iOBe^mzAjRdV7c2h+z;m>pV+sWYgR-|raLJoDW@>-a+s3AoGKgmOTDd3x>BUQd2
zk9-bzSUMYPpz{yjE4TioKwP`^a2>-okA8l;%9uw)^96f+xC^OpBDC~6Sws;zF#cgT
zV%9?YuAQDadQBTrHZ#GSq=cNZd~~kvB%!ofg9o=R>40(Ky{HviWi)lkBQi{fj8X<#
zWvml)fj#s?$j~-lgHB~W>3Km$C5Nhn_Sfsda}9r8%}@e*CE8JQgOh@iN*-L|5-<RX
zGcS4|QWe#gc(obRD2T$EpspBX2rSQu`+6^`A$+>>ekBJA3Xv3WE}Gl{FuT-d=B$pk
ziB;&TMM0-_Xzt}WW(-*wxZ*rP4Rpr#K+NSnGP2!Y(8V)m0{&-qnI6j1K(wy+y9}Ml
zNa>T`?+|AURzy{kd<2N7kV*8btsx1GQuCTDT>(UNRgYHeB%+g%qaB+kHBms!W<k#q
zzz|93Y3(i|()tndN5xJ9c^+L^EV@dAsmgns<-$btd;IslmOrYf(n4d`pE(+6Hd`ps
z^EJ@Hquy8LkE)<&mb^_rtj)lb@v{OO$F?3*$rDrW6p`f<vXIj?GqBwqcqu_o9bMqf
z&i|;afDGdg?6S`=1IG`qdDjfp(0jvu)#|!3sH65ouR*36+zRD$kdshF?<ST`$R8I+
z6qOd;@E9{lQa&4y+^2#Dce)xM*c3v({_}Uh(+s{GHqhG@t&AqPc6EAf`)k5-&MJ$%
z8Te8iM48o<&_u40+9hR9^yr{+mQUyZIW-V3-iSvxJp6s%7&4>XK6@oQLuo+2>Zqc0
zNC5?%yyDe*cb)#E_`TC{X&R^ok?s4K<&mghoNwvP1^UjnTvi=b0C{-nr*lVSkjtCn
zv*P=w=#v&n_h^pW@v320_@zNfM2ut==S>}@%gTC`Pq$)_tVU><2op!z-$2P^x|?3c
zH8UH#VG8@--uWhBE{e=+^PZY2{zvc2!yDUZnZm7>t)}zZ!YEnVax**i4Lz~_bn3Ok
zCUE$34KvOGheYLFBua=ybjJBd-D0W6z-fP=a5YH)VT6HogT{RN=z-rF_j`@N)>#1G
z#>a=sCp*>`FPGBaX%SP6rHsI@N4a3ooEsIzH+Q|StfAMc9=)P<WC!$ousVOdnFF;y
z6PPgB(?l=6T;F`O#1OJcVR9l#YzTL$1d%z~>G|YH+xJX{up^WXlzbMX){fO*zxRcH
zvE(tkzMBF34*&rF{|uLRG}eC<$L+m0*&ge8jAz*Ed##F;Lb6gyMkW0UA)+X&WT!|&
zD5F9`(f31yghVJM*`vsete=1Hd7pdEJ?Gy0e!r&r<%52%F`&nhgzpAf{rK3&)wZ~o
zx?optUbrWL9&xaL@+_hIiEEdb31^Dx!cUj~HeVi~LwT>1T-qH+@YRzSJPpEiK*HbC
zXIJ_r{wjRT&cAsak5%++*fXvTJDamURSmD>y^?42PaK%WFB_eREj*|V)b^s+j4^At
z43{I-@y`t2lapDb*Q^B}94aaZ!T<2a=okfQ`#C&md}*fNL<>mY7+w3Hui^s4jc=O<
z3;12$#@_I18iW;D@RpEP@pV@3NG|FUUcyFr#HmLE`KYE}!^11MPjRs<#qckFJW}5x
z=oJ<E1GyLzKCj??osyyx&a3#KaJxqtP=Pt=e2>q@3eHr0cLynD4PW%_46AxifxP&U
zpDRwQczB;C|A~nWJUY}<?y3_7Slj~2JjYgXLi}du3o;$@-eNZtpCW^f?F4`Lqks5D
zhiQP`WqQPu;usqmK?alKZ5id;eQ8(9q!K0=(0kt()E8o85WF?sBUHMMcbb&;6#FtE
z@5il@&rWH=(3IjabGl8Ofv+>ala&SKy4~jeSE2!3DvFusFK^)iv5cRNzhgyrIRs+k
zSJYuqq>H4LMTchTZ0%T{up>iNx0M%r)PZ|0-JmLo9x>6esNO2)MESg;x+4W@px1ca
zx9lMUnwBURpiFV2G|B4+?{cfb$((a%yFM|Z+mj#JGF13ba*?)TbT|p3^!;z~Dlns7
zy<Pl?LHx*hlRf(A3K856#dh6IXF(q#haY(T6hKRTMKOd3B0TEmJH4#NhCF@$`*HV_
z5K{e_ld~W|1V^G{%g1SU^s$=#*;`Q&bZ+b0D`JHzES^xFlljbvl*buo{U=0`PP$IA
zueT~JxnCFL{>6>zzNeXL4T>X^{Z&)hBvp`!VSN5qoDW%x1xm-#OQO>xxfymQRnRj_
z7m{`2M}ohDvr6_!qa)E73N8yOV80m5XIUnIdUo87d*>;O{CN`af^`)b$qbfIB?_St
zcl~$u)pE$+^-5rzf+`&CN+5*Q38Uo8OD(sQ6wp()=qHk=RpEYs=E%DcQFKA)h8SBB
z0ln|mu;S`hg`n#4VOs}rloD?=FS%0*MRf-aBnJ}VB=<0B^}r4!n;%I2y`+p@|9f=9
z&y)lLVx`B0&r6|$Y)*GwDpe6jF#hzTg&OQS_4W#_QU*QfO{6tlC84uJGmo{esRNgn
z*pah5a%lKwDc<O!j_e*B?v>`!gz)n0{O9}SQAbm~)dzJ=l-BwCkINY{95XW%qTE+N
z1NFV;t082>T2a&f@Dc^uT+VZJuM*JIe&>u)TMDu~^Dd~diVBkJC(=Efl~6*(W=jPh
z6&;NUXY!ZQg1<phl|I$V$b>v~+^w97{6girbBeU#cX^G4rl2YcbyUw|)1aZdLn?_X
zM|DBuj%!twI}x#rOAVC;(GVZ+M<Fw9ec+dAsrZ#bLJd<nr9)9P#1-IqSx4Rw^zJ&`
z8Oc*aUyoaG=kKMVOGEn;U3M6Q2=Up2<2Te%PDRqi2klhkbM@ST!vYwjhAq_wVH#+s
z6QPBlnTmF>@km8o1W@L=+(RzcKs`?tmai|65t|Sly{4NfgdC0b^8cxU?!2$;xM!w`
zkl!XvP{9nmb9XOZZ`442d6MZ<G&LkNX%Vg6Vg^R5h6baDHPD34UJ>apDk#Foa^{?s
zIlOO5cr940j@s3}hDA6iA`f%n;nn-*keuUnaqxv28f2YhmTQqiDbE@+13Sz?DC#B0
z_XrZY{;7Gw=$Rz?%HO3h+G7s3GL4e;B1AOy-w(}SIwGhvCA^RH+8i3Y2QC#vtDu7(
zLl0lr@gbvUh&AZ4IRud9BWa(N5ako4*2RDYRouNdovdjNpLFJn`UMqH?>RjWi-dpp
zNv=IvPOWB8(ehc{YL5civ-mIDL3SK}=A3A*?_vf~)yAAt(Q@byI^uqp@ex)LYTxpE
z&=kVl&3KO{%OEDzFS^=SM=%EIwzrPQO<~sj+}~M!Nfa6E5Uig&hy8U6W4SN_K!>Ri
z<+;VtP0z-3UZKC(mqge1(Ov*-GIeV&_(hPBrN8yi*gs5U?fgIP9t>C*gAKm#5k!Y;
zSPb6zY+#WO7WdAKnn29UY~Lrfe2Bil;b-)ZO-!qA-K}xM81`k3thTjtp^RC{ONV2(
zFrnf0pM28B@b8j$JyQ}J3RySxe|>8U6C+in4ed07NrpAC*RPmR<g;4K>-t;RucudY
zS%MAW&N>s1juk!H%Mcg0ki3a8zs0;|OAWx&PBZ<y?>fGaG{30!W&?B3xzPP)P9LgA
zr0)$*FXR4;J43=huVdz?umdOc^<jUW3TF_<Jl@IAVjwfMhD}kzua(5;LGEOB`MXoo
zxX}8htQ5x@cD+m^LE@V(Og;M+Yx!mvS8$s>E(ZTF|NOP9dv$a{;$w8({J<AH2^-v4
zN?pbLu1DYhovs64Bg%gl-fYD|Z`?6}bGsfpIaB;k8^X#m=jEjy<Hak_(hCb$us!U$
z_%2UvC>v}@a145dk?oTz&j+kv*9-^lMSao&n<K^)>!fy!C${E&)5#U=G>P$mhNTt^
z#zzO?gkEf*=V2l9%@r*9$8#iELxX);4UWZ51DGg-&=t+06|CO>Ac3e$gKWmOwyi5e
z7(@G6Rml^p*pg3|p6*L3bTF8P&*qI{=7Zd3_r(5T_7QK3RrRURUSjItojZZm6@0IH
zvhfcSGuE$|#<%}WYwm1h>@@aN-h$vMypFkaqSjN^6fiOsKJMr-gN1!`F}Cp7-iO8Z
z)a*Vo7?u@<r)U4cDobxfOAl{iZtN0c0Vl~2P!)R1ihCY26f+6EvyTqU9QYXqw={uD
z#0uMD7O=Dcfj4qi^k7m@SF?kv3FJR^{>ywzSYkM%Z{slr(D#x(QgBKG#%#PdgG-jN
z4@5~8zq^beEa=H{yI3729@@36d8}Y=t{M;btTBORbh)O`k{W!Lx2ad6{loawEnf^@
zVu3rACU5sxssSadt+-5a9h2J_$>bohK~nxmO7vY4__l^-Trk<h)K?d-PBU<T&1BYL
zu}vayP0Q#So6><px#(MV4lW=Q`A&y;6JbkWxijn{J)lYDE>jC02>&TOpz~D~tT!_q
zYCbZ+*koq>hzlR^o{oM?e@GQlPbP7UnlpjnqaAnBOZg$+&`qj*Km}eOYGmf>V}{)_
z<M2>L5WEStqju+1AjHvv9GJuko*AO7+4VwTZnmf=E2sh`GEcv!on?olg2aECS41Fg
z&v@OPdS&q6?drxG#tBA?%?lDI#en<p`pFwtl%eI4+_#FC+#qsU<ds;s1T02wct{*n
z2G!QXW0(LRNV=?te5jR#y*-Im%|^=Lc=}Q+?#T~PGc}LzYsdgOOx8YWyFPYg>d{2E
z0DRAGVQ-(1g|b9q<*!4^pyM)%BTpd+E)}a2a*zj+V_gr&Qj|ePem_lHL<Anc^o;lZ
zq5zTinbqazmEnnBv=PI!D5T4pnD_=O!ih!;%2=ohJm8cTOB)e~um8z33~MSwaYO~P
z6ipSXtMw-a7$u>gi?u##V|)Hzr-!ZNh(Hs)yid(a8Z5wXCH6ZJGEb!@`Pq;_(q!)I
zjI%84EOOcF_g)R)SWIHqYc&{NXo%#0AP3(z+e~9>G=N;2%YcG3;QZ}3w)QLXz&Nm>
z)8{~jhL$DSHB&NdakSEjA0|M}F73WcW)vuLxE>oDK!LL@O613_iZEzHv)v~{g<+Ao
z``z7C$O@P%TQ^Y#3xW#%_a_w^+10d_k86Q&e_Ze5=PE!e74&3?qye++J@4mII^YL=
zIW1yD_*G{_Z$3i<z1Odkm$r1F-}C+n@iQb~f(1&ZoECg$<=W%OU;y)h+P0*8HDHVI
ziJ0Qmg170K&s)TefF+D5(p#Ypcgqcz-AifkeZA4_udWHO9xL1IN!Ea;mKCzM=xLBI
zKbSS52yp7`(bObOO}O^tFK-ha6_91fVKX^X=yT)$y>wL*4%@~Wc)TEkn!Y=4F_RgH
z5f-rHiJFj}(%OLS(*T>kTQ@VB%-{xNc!Q&*ChWHQHIVa>2su4w&-IR*gBHU?_fVk*
z90;R%bO<TK!#4%xCSB&R_)~z|P_GU$jAs+w%oITBM(~J=hy|Q7+TSUXrUow_C0I^v
zO2YvW(q0R73rKJ+Xsu8o!TsU>qd&fig6O_4$U@Qr221-ZJ+7<5Q+!&r%!VI4&r3*W
zPnbhmd@#euR%P%@xL&9|%L0Su{mvDc=Ah25S=O+i2)+Y4$u3o^*gGZ0EIpbz3_RsG
z-p@yX?rfC+zk5HiUsi-;=iivY__7uosL8{*qgXK0bQg}3oGa%rGZ1`MW8Ju47W&Rk
z{wQmk#aG^R-rHSc3Iu^&u2~#XFqv9ZGrMaA?@x?OVb?W<M7cZ>wtM0bYx>7kF?16r
z41|3BR0be8RMOV(B?1SgLJr9K(IbyXnH^^-01@}IeYL#>0WN-?5gKGbB`MxZoIV&V
zTiDfAKI8+(t;`1<wT$S@L-pfcK_;;Km=X6HjSI8_oh<jMGNDf^wR{&6jp4MW(Ex8I
zD?Ix%-x>-`XppAwYVq6%v|d*4v-D$x7Iv4nu98fMR;iF0)o%#J{LIfMUAD0OBhF5j
zIvLTaWYt%%c?}_dsmU(m;R@zZ{@F0>EF(%~dnn{?V*ozkj~&Av%wrx-?Oky!j7Y(R
zJ+~)GALzqu{GQyH!Zx~VOX+eLkb|ddc*Zw9kkOOEPBQ+)-ggFN{V-ub4}<nJh->OW
z2@gIt#oUQGlS9^xX6cbAvv}-Oj4m{%F^Jx|dKb&KG5=6lPLJlr|CBu#(*c%?%uSo&
zP57nMXJ*%L(xY-yhuSe~9RL=bIe)bmZzrmHxnHG6dR5a^XI^N7ce3Zf+-pDai)-DT
ziy8EYF=~l#O<o(C1ZQr2N*}{tQ9_Bujr8c#y`3gb8CtN&@?O~4bQ<qVUwWP@z<@N9
z+S1&3v><al#rts1EWT-8yX)p92K45jDU8R{z?LF2MjV{O&#J}CoabOfA1=;^{@|p+
zKM(tfTi+IN<2Q{G5|xa|=01^8E13#`HZP`YKP=%9`e~moTxCMKY118FC8)r=v}^y~
zs=s*rNDNa!5Hrfzy^E>yF$E-OPfG*ySMf()1>8#sET~atx9ko>3P?3nm9O7j!<X!R
zm#4P*@yy!lnZ`~sxbE;$amd@i*EF@yJE*dwz<wwjIZcKWJ#l8w>bLL*2AGs(1qb?%
zDUs(E7a7JI8*Df?=@57vW|j2gLWin212~RpLRk6OiCPi^5{RgIe$}1_VO@JBnqFwY
z1N?T=F+WC>UvfeGjW!>;;Z&G8&94CiD%Zjm8<~*bBf01DZu}@ur8Zn5R2|NcdfbBa
zSde&ogj!{e0QxjJdsKQx4ax<VgV&o_QIeA3qQ{mXO15pgKYd0G`aVktKfAz=Ztfa6
ztPm-TRO60+EZ87HZr#Gj2Ww9B^`){Dw}L3Tf5^a~G>Zgz0o{^C7ThRUqfSp}N(`yL
zbg(S2CP9d$aa)-WFPg6&O)l(}K-2zuh3C0Qknl?Pl=^o*)IvPe?(ka@y_z^~<1oDK
z?@e!85~T%@H@;-_Q%wdv*M8<T+DQb;lZ{lZP(j2QjyOKF%A!P%_A8`*BIvoNCN<0n
zA(rpzk3>Y}(Vd7%pKOM0-(l*XdwWd;^}<U!vtR`j>Z{YCxa~)&iupoO24bkC+?cOy
zhJYpnvw6rh+j@=$Cq^C#)HHELoi9WQ5w6ii+&QEM3Wl~yJ=;8d@lu4Nh_DLU98Wp&
zR6!lwf7aPA3QHs1jF(#WxGLhAKYWZyNdw}X1FGK<WYHzgt+|PFB$Oo{OLOwn1Y;eS
z6z{!qC?~wX*;-W{RWW}#C4Y_#l+=_ayC`{dy{uw*>x%~Jm0IyVcaQ=MdN=D08x+uy
zvaE6gV={_#_YqTdrvhoUKX8sq5uI=-NnPF~BZr&fNmp*rVE$$S8Mb-z6(s!rP)I=q
z=VF86hqWL>G-#<mR~fNebf9oOD*B>6AzSXgos+qHBb>)nkhT1;s-5?!=y;F)09Qb$
zzdOG*UD)3v_SZ<9h~x!Sp7``oQ2{QN-c_y-Yxy<`idrP}MD1GT*UwZGJQQXS5Mc-r
zj>5aeG}O=`f#yQlTU2z!EHUJ$y)kTxbPyId)R3tDr4DrwDr!6)6B#X!fv}Si^Tr)@
zl&7W_O0}b)Kcc7UHT(hOyKDYNZm1*YqHAHKePp!fre^=Tp(&I|mfQ}P(LgE>`7TPx
zYaluYy4SgXOksc8&hyl5{nggGpTpK96io<iQ;9JHc^}0Kap~%ajW5V3jiQ1C%WLRp
zYi5w?^J>U^N)2s(ZOeC9B%r|&y8vHnbCADsX>@37n=9W526mLnA!C<ayeR?Z!28I4
zW#4xq;%>J!+T@Z#&#vgZp1x=f7Bei5_9UpHgHLv_Z3&4Ytt%#U4#&*loYmV;9|Tnp
zq2~qTf&2XEKYfj3NZlOj4i*zEFDs#W6^G&-iR_4W!{g|yAv0kAJZHi%KtO3X|1O*%
z(xb3Kab5RoX22(Zl9*3ZKy-sABo0#+@oTsFuwW@O=(M{3urXc^X^504POJaK9liNm
z%!*CHf;Cyl`Lhf<t0MJgAubQ&%)TmOp<@cwQ4^7IWs->PfLm_Ru^*UNo^IXFHvmgT
zDXx^4;>d9z=hk)KDNOzo&zR><fc(wi*Ii>GDE6Ji^ANT<j5p)qs?mK6q8HERKHe>a
zygsse8fGqF*ZhB|O;(wJWm!D>^PL|xlm^!H$uD6WA+vNGea3KmcXP(=eY{8~+^3Cq
za0xqY8_%?B(+J+PW=|^Y=0sK-lX}8*%b1&fLdF2e2-u=WLp1VOkzkUGc4^TP_NV@i
zb@Nd}=-?nQEF5J*5pq36ub7rFX`H0fk!=7>QLhII1L@J1&$`U-loql0__JzxKlGta
zU;gj+>J40=-<NYrc>&v?Olkg6(T93h6H5-+Rb0t?`E-o<JZ7+7eAGTz52_~<&Gh+}
z@K@3-t1Rqu*oT`r*8|#g;V252TM3)P<ql{r#nAo1`b(o6x0H1O5eF>N%YNZ|iiVb!
zd1f%B;Kqvl7#+YZGG+59<9Oip_cBg9e_;#^TONwPw1F*jZuR$(A$<6>znJIKDa^$`
zJKgx8HoX3_Gqu_F8@`*;ZC|`+5_2L9oU5wWg6zb`JKodXcngVhsY!MM^A@2qIia<E
zzt`nF*S~$h_fEH3f72MpF0c#U5G$ksZnw93@7X$Bcs4wTD`*URk3=pPDbRqgX7Qle
z!4f=2duhCTX%y2)pBGrWPX(3vy0u@o;;|7`|5Ce>Q7p%kF=Skh3g4Pj54Z-GW7h;5
z6eF@mv9n^9`S$q~$flp>=;E%!Mq))~-0)E>zW3ixf(8ZL)2$v0Ha20&bB+{Au`z5R
zH#g9%nhZw@N@Vkx+OZ>t5~_9b#<1aUxo6UMk-^LFv(ordC)Poq`0uLMIQFALWr(j#
z6D)KNo%pY{8=HSq65!xAfvxflQhEC|;G7#ce7o6;MLH&xpNg5pw56~0&~a#h5vhHM
z)AlPyQ0rNinViB3zx~O0YoZR>(&dNvg}!6LQS&EUqJClYT5mb@Le!vnz2Lsv<PXd|
z@^Ab@rx{H0km3u|Y7*%3;ckJae`2o>arX)8{J|b+9nxyr=1S&$Cu{VUhcM%0kNu-Z
z=dev%>+~`!B0yZ(&4!E-EW|@rQs~({#(4I8(cEoS2wPTSo3b0jx+9|F?GzR<%@~o?
zpjj12)|g97(VW13G3|A&MN8Nfy3oCP)+%uQv(V{Jlqt+0?4tB={9jBaqBe?Fs0>z?
zX9#QVzc8J#zri1_u441~H-k>`D#M4eJ@q9uGg!oTFBj&QYuL^6H44)qO0Y0|H9P3>
zA53;SOu0aI6N?<rEPgks2x9_iF=G7ln2ks9MCl1SFgjJuA$3F%Xht{mYqA!w@172W
zy9ekYI8jGI;wu3rE;3GQ*eqd17Yp^X!x^F0NX%x{g#eWw1#hG){l$!`NwtZ)n4wAF
zs4Lr$0x<1;rgA}Z6&uRo#C?Djlv^IS7Wpeco19*7)2TJ=GrNq#z-e|klR;qhU{Zh>
zr{KGDgButnw4+Vv6DOE!i<6u0%fmAF#*zQ5=|J4#%5Z)l55T6AS-zz_Xqs}$aWv6`
zNazKZuBUu(PMMv5c0ms852eJt_hp1j+Ipt@b_>8>x;o|dVmWAKovDn~VTM<&xw{dE
z5U{0reJ%Y@4!T#fxKC49f%({oaPO)x@P1Rbb+V9y`N;Tz-|p-X;olnRB`yZ}r~Rr1
zl;ptC)@E<-TTZBd_4<jUp9I+a^&9!LLk{#FoRBp<!2@!#FBRifC4p9AP29DufBa?l
zhSnoKa0$M7psY>?JU$<cp0JXG(PpLd{`vw?-rb#=>?sG*PYJdn336cd{#py)k|4a6
z4ZDr8D*%IQ?d^Xva==A97~b|p7);)Me_Px^fZT(;iVrTz!!tE!J+&!OkSxo(^QBS=
zjwX+=bLc6+#_@7pHx&tRn;rdLh*TiU#@2_XMu2Zu{QqsFOTw;id$X>L6M>wr5-8}Q
z2&N}{Gx}*VkWMx7X;4;&w>@0dA%jZL$0wuTL?;L5xvK_uhH3%}r6Q&Eg$g`kF-nfT
zBoET3UgWz?k%8ShDE`I-5quYfNizHdxSNpKa#e^5p?ZR)Pp+y%NvmI)Y=t6BP@7GI
zsWgBDq7&7c4DOXeHjyWkp{OLoy+cn6)VZDBuX9l$iQO%H&kj}i*Zj?pPC^?Xmr>?F
zPAx#$jwdg)5y5yfd1vE0ZSb(Nm<=$~f!B^Q_FZSy;EBQ-<BEn3JfWN!%`Mb}W$T@W
zlofRdtL;jj*w%T-GAX6%8iI4Iz+|t3CNv+fp%Is~LFr^{eL}A>gtVmfJu)OieSKAW
zfsr<d%$}Us(g*PJ;h)raOoo1M`pX3(T44RScOf9e6pE!Es_mI1!`q#Flh(0Rc$zNM
znviV<Wy{IQZ&%6i=6Bi@$2~F>Cop`zk+JRXEU_o!ddNVOtbG6BhZ@KoyUjy6Yyon0
z_cUZ9$e`+^oESk=0l8a$3%*ZUK<vla#?Wa^AZJHBPCujoVUYup#|<pO!v2&4>5>NQ
zDB9w0G?D_gKr!B>{gz;GP`bMAtr|Ga?@dZ|6N0Y)bYFzhECHz|gu8wqg1U4^pLG!%
zgj_D}^q#VS;&&dsR!>wQ<+-Zl*ZoUa%H(9lsR#?m+`8#rdP)ga-aL9HlUt9AkJ^Lr
zx;bQ>V?209fdKBrYyC2hmhjRkgSIkXbHMrPci0Wcfk^(ZUd8|h<gB&CsM}!%I{E7F
z18il0bNbBt`@7jtFmaBQN;QMWmkWm``F23eZ-Sn33Kvq7zB|2o%M{`tm?>3pi$aw#
zNv|)B7s*~$Dc5H(h4%VCOB(wG!7#n>;?HJ2R4M4ANq-)|=g65GZ%TN9pWk3#zXv~J
zb^PLH(}Mx$3jKjQcI*)9YGF0~lpj@By)$b4Yy#+xVxm?YBb3by3KcZ+qxVC2K6%6#
zY(CQ656fJ~x~zWVUn}`hT}1D$N;+fE-QU(;y`2xZB7z#HQu)!@^3uw~L?gg&F1m5J
zjAE}p?XR{v!H?{g9a?y{bI9X}^@*C>&DcltTI`P&KMG8bJ@fkhHg{*(5%LDwZ~<&C
zrH!2*wY(8yIytQmQ_j0J=8K2%wWDlPq)9&HXtZo-g6YF@X9<UU-VFXhgpS7A%ZJXo
zcPoWu=>b8D$oSZD5&uu!%fYdS4;_(zr60Sc3zx&fs^i|S;0{Ncxp!~(kxL~!96hNE
z22n>SmOs|<oK~-i0DgY7oE6YP`>q308=}dk2k8*A*PTk%{ru=K*N-NWqYh}=++FFA
zU_f@-JiG&W{K$N_bKc$0+OXEr6ZfTw5xrEzrXC0iARbK2|BUPQeWbilw>{2`q^1g!
zzTXx=QZXgI8RJ^;{y%B0<OLRV<Yq<+hrS>Rw)#0H6RHKx2fi^}yu^lBID2no&k3Ss
zAL%qDK`roWg+u=A94I=RXv)?ggan$Lptp<$()@YHJa2O%s;jYW({o{D9mUCe)|m!z
zo$kb0DmRj;9-4Kk5<%({>zt;nGzhWYD%|^(2YFCFlwkd$NSSVozodo=QGGr6l~#Nx
z?p!Z<U0fUy`c)T+p;TZmGRWN^^P?|(pI4XyCC~xe?!KL{{eO}$gF=D;;*4MT^y=3R
zl&zUwl*>y6J#%yQy-I>8<JQMo=gU&aRQYSd`UC~uHGDf_uPcORxv%~hrOKeZm)yKc
zZ4^lGx`!B@g^|o*Z=v`|S@h%iyaI161;V|qaD-kLLH`2)0RR6Kmv=bV-y6p5m1OVi
zJwNvLeynInNm7WiMG~Qbk`$tptU?Kq$|zLi^C0n+vPY3k_KHH}=lAb(o$EU1T<1Rb
z>%K2?CW$3q5JggLolW&S6)2wGy*smw2c=?)>Q{rs@C}y+hx11j$l$(GAf&*DJG)da
zy@?V>A&bhVQvE8Be@v3`L@GZjcy3UgdMtsLHnXK%8C2mp7tS5y7sTBKpQv`#N}?sw
zOI<Kk1p@&K<>FVnF`WO14rxXTbBMsrclTAn&e1;l(otcIfBUC9j8_H)$QmBee^kNv
zqY`aWln4fP_P30i$Ra;c87bti29C3z{A#^Kams$7H^55{BPT5TuTiSQ)vAF@AFRc2
zqLQZ8{JK0c&bmnX=BtB%`%U$mgg6@H%^pdQQNS0?xg2s{8W8SFuFO`Hz+CTF6Meyo
zXknJ??F*V<d*_HI7r!LFTip>;Z>)sM4VktiB`p|H9xt$_l){ru1<RGgN_a&0hDR((
z8!BFkF`XEY!gcTWQ$kkC*!|kQDcMv9f@i*|d?=L0%EBE~t>MZjxR=k{!Ce=`c!%=Q
zR|ePZCT}<UD&v9qf#IgRdLZO19Cw3L7VBl1E7~}e@z=Q?p}`OOaM$z9FT+e(<m&gl
zIeS(Kwaxn2YQ_!VUT}xwIYv2D`exb65w3`T3<^M$hJgS2Qu;_%au{?wGvD7_0n;Ps
zxcAWmtUr}u_4Sp*1B~WHSHH?3>wpQ(&2WHSp|+Z$r{$1q@j+wrZdrVArHZBCCjfWD
z%C$%ZIb1E?$h%@BjXSlI!*vXd;Fhc-N#u(xK6~Y8bH-c}uN|O%9~x!^o%A<3n$2X9
z0p<@KF%-uS`L3!@o*O~dep{`aR2d`}D@>xgC~7J+-FQ)L1lD?*)-_GiX!4&L*qjr>
zf#1o`0zVpo2Hm(0=cp7ebv;&c$>T?zVk?1=H%3snKVOn{OcIA)UD$m{f(J{oQ)Ei+
z8$tI*#gtd)_B%2-2R~ipz|+_7J@9rlf=r3Xg68+)cr1oU?%-uZvDSqz^s+`^^<~Ge
zS7~DSaIaVQ8NHp@8GNqu=Lo<dyKx)3OQL8QXl%cif)QyWS;LHz0XT*q{AcPYg8D~4
zCYD{KMe>cF+gxS<MS*smK6izXq?1#a_=pOBBAtYKKLPsb62j}31+mcAF7(q03e1da
zE{#wmfUj51Trz?mqZIw3g!XQdD^rg%`&}}GwP#dMa&md`$Me7Sj_vE@HI7Sn+dmn=
zIM3uUju~!*SBFvp)Yr%zzZ6_{a~eRbn0h&r4Hxd58lG`ExJvfbp|C#bq7VIzwe;2l
z9LTb-(!7Iqm7JUQ$LVCL9;g=-1#ZQ$W9X&s=*!02^Y4k(1x$KSrtB-7?!<=mZ~EU_
z&99OZpU}U}bI}FYs^YWzj<8~V%{P|F^)>R2jHKPkr~?`AkH?iXv!E`gNS6E2zvNM8
zskcu=bznHBZ?#!#CtmHOZ;)NyAjhIZ+(?u*NdA1$JKMVht4zAwv%dTzFG{!F@LkY?
z;)y7wmA6dTQ5m;<)t3TQO*@MAoz#NpTalMLJ~QHEn3_RDEF})y{BhxWizfV9yDXE;
z#)#+Dy$@<275a{|uL_%MLSxv+@Zg&a$hP;^swfi;3K!oQldaK!R{>`XX5<)f<>)Q;
z6fatQ-1uSWrI7|`zdd7LvPO?j6I11N2Iz3-Z?~e#I(48naQ@W3NRJZ6YNus=7;xd+
zUqhdR>TpqJ;!Xh@1M+g_h;FhmVcT7Xr#-!Dz_g(*G;xdpS={SA^V@cy#XEOl$+K$E
z(#KH~Tg!m+OQVuOMLUuHE308Btr}!Xwb0ERVZ<uWY0;&ZyRcQnl94-06*M+F)(RPz
zkcH&1^lO|IIV@{^l>hIOqJQsw8Dhe)+KCJKjO_S;OTCV3Mg^wTz8;Pm*nz(fiyJ%#
z4pguB{!~0o1!})v+2umD6E8U!r{0g_#M6(`8)^@#z-occg3^8#%&#}LU|8Zp_u$4O
z0Zc0JicMng;`?2=ZAt0R{CLp&Lyf}6FC?fM3l$8=XGLQk-fL70d^krkNODRgL2qeO
zlWq(f)=6GVimT+u7lAv58P1Ym{<-w@{j2O~MQ_n@CteV#f37J!K0t!OBRtFp;yBRp
z`_mHUa3Q>yp7l>clLY&{tKwCPIq{(Mi&z_T5j3FSN_i_!f@PKHzYMcns6A-NQg>1m
z@4KqxW-5`OXSVlexDgNXS5EsU-4MgH?6C!7Ai>LruO|fyc`>(u-dCVP9J@6J!<0^w
z;Nz1QQVN><_{YkNNBExv24-IlV@V=`?%X@>ye<J8<@t4??tm1Aj92jI{~&?Bf}N_+
z-QD=c&4kG-TN*{8-s*Pfsz3{;NZ6fI!uY;>UwaUxELtq5GPxJ3K<cG8Pja(GkglLa
zV!x9ddV0PS7dB9ZeaSkWURk2ZnQ8c&{jEIenbVoajj6(~q|Y-4^Tg28XR@M<MiFlw
zmtP&rR|8%$1ue}Raa5+gd9+hs2?y;`*Lz~rVTsP~{k<9q6n+yp*=4JY)RB{I_O~>k
z)ri)^wnY+0j`=aON{}$7A)3kmi6*!&KPvsxBZa?T#}<@DknpaZ(%<=ZEeH#EHyF?@
zjhT_xT3%L@aBHkm%tlZLHa0rLR6og}e*c2kon8`N@m1S;bU_ym-zVKt*yam^QMpXv
zXA)}L)x=tS(}T)4q+Uq}IlRvq5qm$Lgi`L|BmRT|JV>CnTKz4DK3leXe8fm-fACr=
zf2JXX7$-;1cx`jnnyq+}MHySIu2*Hw5y1Y~u7a;f9vj!A)=ynk#Gp&UQ?mB}M0;wn
zrcNF|tID^JXUXH7bA?&5fDu@f>Ala%lSc-Rt8WfO%Ho||E}5!3MzD33D_+e`9zFQl
z5(+h>vB199=KZu0P=s94f7U67ZN&ws&?te6uK7MKipKE#Yk<g_xEu-%lA67bis8_U
zr*qei8iR~~-_b&IS)BfJXU3vK80)*ogs-|7172@BnXpF&BQ#mOT2%zlPF;59+Hqre
zVLAKWLRuQHusaHR^>d@LW~eKzt}%=#J^8q{Ac>usrUP@c>}XW)P)W~V3~nBlZwH=B
zU?_+0i_LE=NNIM(w(64+$ni72UbYv<oFjsLGc^pDJDwwb{Gt)OZoBALz$Atpj*##p
zi5ibj#d@}j8A0Q#Rhti$A{c%_bfh!&ANk%-I{l71fMJ#pE511)%yM*D+*k02OnYqq
z-V9fOl1FzBs%&%T`R}J(W4cS^!GgudJ17BkbB(T2Nb{rX_pnV%-5GK&qql^l4gqXG
zLimJ#^B{Rmri^C)IQb#Bp6TOrhCpGthdF<m3&RcQ!1wSld13Ff7jn-HV7gN?+>enH
zN2|L6->eOgPf)4(PL1n>P0v$X#Y61KXVh%<g`uB3^B_SZTUsAdd3^*b$gF6+@{Fn9
zs-NsX&^yuQqX$-br!IuQV!<K(TT0fXL2_tRqF+VXwhn*&RCp)HjKb%cU#ZOxku^go
zimuS=!rp93)4T;n6ySLj=W94hw)rr$B5+&>)F%ycj&9Inui$d3&DJ<Mc;cgJe6cn>
zk9os?V=o=jq^dYi@J*2m&W4JTS+pT;_`uvyI}PUYaUP|(GD|i~aC3NYP74Abzi<#s
zrp6`O<xg;Xfm~=`a_o1PCa9+Tr4_$Jg@wWJ?{L5pIsP-fYJ-s`bRTDo{aa3ny+7Xv
z=bT$6*VBZ`{wmS{W;fN4oh+1CYMP^>bNx5Dnyn(_w1fuinfAEF5>J5~HPa963RcNi
z<`xEM9;rjwvtp%P8WiX|e7n?RYMmUdbmCtVk2++BCTWIIP+)x3e*xvjn`G{jD@n!4
zYEWXP?_krnMc$ddKjC!w7P<FaVEan}HE<rucZyiuBC8p*Oz=ukBB`C`e)UsT*t*9a
zZ6!;A!!DnW*G5obnQ7nGMP*fp)Te)95J-Vl<gh-;Woo>dDJHlVRbYg#-p{g+0xKRg
z#Vuc<#m%nkhkI;P;C0-MYMxV+nCU%}DkMUW&HM_s<+CK<l9%$2rlP`h2Xf8lK?aNs
zToR^>CBf^zZKZ?ToId|7tnNe&6J8wY8lP1lL8AEl-RF;}u_R$c#JPbPIm$(4&7LWP
zH1E1SCeh%7&i5tRzgh5CrQCeOKP8yRSM@Y2qD9d{@Bb3=Sn*B0*masyN}%n2;(qoN
z9Y#Aj>Qm3L;RP?t*JWQ7VN6^$C(fJ!zgyGIG+T1u$$jixbry<HqeiQ>)WC={#K<>N
zBPXsb%19fxD1gY9<TgtG9mpkiZ`H$%8)**gGYNE803YAg?-Is4@x=EV$I3)`ald$?
z^ABbP2+?>@wqm#o4X$#XIY`NmN;Gq+CUx?_@+|a|Kq)JZX{<RI(FtOjgMsb)1bNUY
zcO7yaVZ+&>Yr^iTLTF=Z+)@xI4=;k6l0VCH;9$72`y&$(tl{8~A3i6)oo7x>lkae1
zy6KE<PlPDSCZzD*i<XC=)SBLOR&K0{4o|1;7Q=7v9?dw`$OHNN@!M&IJUG~LOSz7a
zz`{IhlB2K!gz;opyzu42Cmhu$*efM*BdSK0FGm3s@)ocA>=!`H)QacWCyj|yO-<MB
z6v4W<oc@=^ZZsF>l^GqE!Ow+XHir$Bz&hWCobM)#?1Hl;cJXqk8r^*Eg`+a)C;g0M
zZV^F~<FrYrtAGr-Y1LAWBv=$-d(yQoimA76o_{{7h)ccw(z6OGKzGfqNKa*(cN#7_
zuOpQ4NnOISm53_nIP4M)IwyfvG>cD5BT1-ADcJN`TW$Nl*NAkykwkEGWhl~6K?_%#
z6a7Kz;ODn5H*-x2XVPQtzid*${7x#X+;18nRx!uOt|Nmwa{T`V7^z}*7QN}!?L66*
zecJ!Hk1U3tO@Ifns<?6KvdK#d9l+SbiDj{JsMnd9!1z=Z7a`~*=Q~}Hb>sJV8!wNM
zIxGuQS5>j+mQjmZm_A(WQAtbjQ9yc1Go8I6s_5q_fBmSbA&k-$c$Et(BD0>H%AYV5
ze4bl<kMkb^ymTu2m6H|m9CPDAr3@1Oz4X^R?JK~i_EY)iI~B1xd*y09tum^d%K7^v
zdfVq&zrPr4Q^XJ-q5RWl6!6>d{j@|mV_5Jtn$(L^MCAkLcgAmX@KVRMnlA;$5H-cS
zGQXWC%(#_0Mt!7^Qc~&RaV8Te;!MlsGf==jpU~B6BXP|3ZH}ZiGXa|phD0kpd0aH`
zO?@gXg30Hy-QpZf;4A|hs~Wu=3Uj+8mk|8OqmjJ(+z}IS;;#4lo-czwWiJb!zU0Iq
zXk9y}XabyH=gMUjrBPhkXzufYUE4YF-XXDhWB9I-x=;C`Bp#C6LpvHohf(KeBiz!B
zp*6svEpbyE`R`t3tNpS`&aZy@YD?c3@)JnxBu6n!e8F36Nm?YsMUSC<ZAP#-L~<^#
z7D1^)bIMg8d&wuy-qEBxWdzf+K^Ih9gmCak0fq0$65`gwv0|ec06!BanjbC#NElu6
zZa?~i(Cc{|>l6gwDZ(hs9mk87Z~p$gTl<sXzt3GIzRkgxcF6)Vqg?o>KuIQAaE|E8
zDNRihAV4j)(f*(h2et=_xTx?i5>G$Ho;aXu2$k;zXy~NbaCLtDW{2St@k>mk#M#LJ
za?YO5MHv>fX+Qqr#;YZQQhSW$P^>=GyU6!Fc4tC~GyD026PF0HN7<H8r3asf8`wvv
z>G9g*5BF9$mx!Bru4B7bbzxv%MeohO)Oda5@z%WMA`$t-f3jFx7jDzk4Wl_Fp50@6
zIs4cG5tQ<9zBpV5`YpSMVm@w?^)vR4mB!2w^2%vUpPRJ7>|80eLi8FrPkwx-{(%|7
z<yFkzJYj8Mm5(n!)v`jKxFs;t$}~j?v81Q02Wx?RCU00k+!A@e7PW9}_fO*2OIw}5
zPEBai{W*TZbDk{Ze_yVsYK##6c;Iu3mL{Aucizo<eu_Nioa$EGFhWdSh+%BY*yi1I
z<Ch4radHT)=Y!wtL&QSBgc2}mfXzhdTBqAES-paojk6mhG)iAPPhM1q28m|R_ec84
zaz#HvF4z4aGFon|Kb}<sT~b+vN@Wi@ioN0Xs%kHBJ4CkA&`k}VSx5FA`q@rCtd;JT
z^{0o}eUqG=F{lcrV87B8*i06evClPU?Ix^FaSCKQse%YoaqwBa2C}1Y_SvP7PJ(LQ
zW>|Ds1@b88A4{!PljCzAUEZtML8L{V%4hOaf!|qNJQ_RRkzMKaHowcX6Nd*5(i4j$
zpuacFE4QPNEO3F(<fum*5p$tgEH{({EUpGW)E_(||ITM_FB)wn%q^EM$n4ziJN7{}
z7An@n>pg+L52m*g-ZYmDoCsxj(fjpE$ft+IquM^}UGc3%gr7~|0dFM`j8zJJyOvKF
zU42-7@=YtDlo4}hK1~t&>k^tS#g!1Rn0#h{WqaRE3K`K>1(-is+8A0>PE<!~ZrG-^
z5ptiX4pnUPsAgH3>rQzkK})ZrI&!R?2sh2RoN6f#vETXV>uZp(<>;#Wyr+Y37!W&`
za$gQAGg{T7MQe$w>)Mp*9-YMD!3R1?{j#7HefE`qL><8{UU@UNqKg<%v5`ElBnwNw
zA8D)3*Aw6QqK$%0dkB9jpK9joGLS;|BYWdqBaz<0e0-kfJ5m4f`k;BAG{l)5`&PvI
zg*aG5ldVP3N1XiXkwvE~4I-<SdGy`Q#JX)`t(9&+A!nI#P4STw#9h5~$I-o&SYL4v
z{%1c(l#cqlXHiK(%)X*v+s!s&b05!7Px25E;?;}?d?jJU`amOXX$Qd;9drB1z7gWV
zg@gHAeG+gwA=6FoUKior`s<b*<rooKRkmZ|pajrk*g9KU58?T>mWTXvoKQIG)mKy}
z4wX``u28mpCyux&INqb0B&^vr?VUgzeikn9EfGHm&fGzDnPbyL(9liyu_`gh4tVv?
zYHEN;$xUepot`BQ&BY9B8Hs_1ff*00&k&J)D4kxyWr46Q_)puaUKAMaowtu=7$E|c
z#N@C4StJtT8&;$bi$ZeoRp|aYN`yJtUEWdti%>r07hBse0(Aq|BcIfc6D!SHavr%W
zM7w7u$et4cx*}R(?wJW<%kP+IL*pMp(w4CEpcR4anGp9m%W0zHm&W{x>^k9?UA8J?
zAPk8*i_zESXNe0d@{10Q8-)0oM{8NZLcl&CVK9AWf$;luyh!Nv7NPG~GLiItH{73J
zE3l_uBDkC53)q4v!KuWf>k8d&Fia`bcKP~?5T@Qm$4yYf_(=(=MSDTGK)LAAShqsZ
z?{S|yuR{xkuQsk!RtSKUj<nE^r9Z?Q)7oQU-t;h778deDN&pz`WKDwY*NNv<3+3EB
zj36P?9iN!N4+XKl-E4H5#LTD1;sv*uL2^?&_Phi??CVZaXj$7LzSq7^HoCqGvfJVn
zyx;QygK3oOo=i$`R^Sx+;K2s{3v=OPr}?1iAZ^z9v(zwkq<`&`E(aVw%$hYI!Uy^l
ze|L!a(ZXWB_p%tl1t}dVnbfPiVDdgREFhO2F1=X@3B1Sy$rqXwTW5H|X}n^5o{tG`
zSvy(8&G7-tmzLpr8b07ki+UK<%nYaJ@BFrYDhN&bp3bRz_(0l$zxw)@U2v%WPkGWK
zVW{Ao3pu@g&X*tLgo!vdXn51_>gy*8Wh`ftro8xJ2W2f~`biE5qzY)*(iDd}76IR%
z&H`X!=cj9Mk_!@(ET4NyNy6ZA#!jP`f<Q>``Qdbj2lTo8)wK+zA*Q_gvXzq%h_;d}
zmzViqcp~6VRj4e`Ew7xQHWPuonA2pt1VMPR_V8okuslpg&d6PTA_{q*uAZcE7ls(B
zc-CJYN-&utYbJSE98TT3EOA>$6z(|dS!_g*z<}xUyIE&RsQQuS=-n#@u-{wfOpgj|
zjGnzk^h<+utD*44BncSf9=h^ZUJaBk2X@eR$-%}>y23?wDYz4H_GRXIbr|`6<hkn+
zC2&2CXK2l3pvSKKoz*rc{2GQ-#+6iH?CVLFFeN!iQOhtF$k2o>?KEop%WB~ACr2)r
zT>)&a>sA(T=QcYr=ghzznxM?yZ)ZHF2x&<>#bQ2dfnGw}?ukxq`0r^$Kt_@>Q1a}(
z@v%h<&a-;C7B}jFivckw6GMW9!}z7#Q42Dhzp}q?GX#dzu&zu=71+Bv#XsVq363=(
z@|F_-QM`Q8A&DxWEjV+xbXI*^f1Z~d4jY3_yYiJcUsa$@h9bvrRTVsDGpL>Jo51y&
z8(LA@^Mh-ls~(R?pdhs2GMixvQVUcpTnQ>LTFSWgcupQ}8hh-x=4l4iwD-O*a;rel
z-e##o$ECpL%SaaWlo_-~oXF>OB|+}HzxEn6BJe>bQ_5R>4|s3v+1%RhJ-21({Ik2c
z!FliJhkE>bpu|<_<)cvrxSvzBpFy4pG$eAeHG0gzsxoS<I!+EQnY9G*u`Us@oQyG-
zyv$%VFQPYRmkfmL%qP9;7$e_$ZQ_mJO~H@ezr!X>5+btBTkPCJiHoPyGWxVkA+X1$
zK4Mx7_<Q_@PTpfe`G+=sT`?xGBY)TY4>u85V$Ui6(#(oiFDJeZ?=^-z`keu}ivlpf
zb)tdh6bIhDAh~rx*%)B2w%Fn0Jg^WQ?fO!N3;8S0q`AcyL8<PQv`0HR;8}RNZR8<t
z?6bJ|*Lx0tcJe`unk)<az5DCt`X)C{Fj6U8bO1P4(`Ys`NC&qm#tVqUJeY95tp7|t
z0jDF5F1!T_;7uI17k1;p>QIfc=$D3I%2Ju}H*%Ty&%yoL39Ie(4<ZSQj|R}>6#0iL
zaD=GNDu^%?<-vbiy@^KC`ap4Zs-)q!3$ezmy!Y?~H(p=(%Kuta9~w53+qTSy$bEuY
zjO(wsQRac{<F9Ud@I6O^ciwA(tgmW#nm?2qFDg0osh8=3cf)V@g;RgXw^9Zg@7Zx9
zPirDo8JjMo@2?I@$k`+p_B*E*n{i{;iSrvrf_32M@K?TqTuO`~PP4|FbK{VF*8q%b
z!xG6|TSJ=$S+<<}4m)$>1yx=5UPo<6U>n)cxkrbYd5I|j3EU`3F1!2uhZfWfeRQp=
zV!+xfQ%$42+?W^=tajW@3$iLJPyP9{-M7n+Mri;Ku09{^C|=ft>|Y@rmam!7@coKa
zVHFSB_T=(BjMao$>)Q$Lu`K9xzh}eq7%xh%UH-@^rwP@58SdQjta!%H$IXU`4=X<M
zp4Vv6fZq72);VT2)aXcE-_y;9DIts>WWqE+;bKA`<8}|{HIDzj`GFtj)Ss*>s%t<)
zS;Vf%7Is{HY4dY;l>lCuj5bJKQitiN&$FM(IncY$Tc6Y|h{G@clr_9lhi)c=+O%v=
zY-?XKd&nS!3{;nywPVzwsKa89Kq?njY)$2-92UmUV>@ckxT*t#u|hvNi5nO4t+^8I
zMDSo&&6#xzb@&|m!W}bsP`=)$bBkRR_enqXkJeU)5Q%bYjuKux5OBv-zgrYl8-E}E
ztfmfeED^lkt$bKz<7I7-ErwikXK6z9)S;^N#Si&Se$;y^^r<9793`hMtxq3Phf$S(
zUS~A~u|sfr--fjW+O*y3h5&WAy#S%J7kA^$0GIIHDw3F#)a~&tTOEWrIBO^xg^>Pi
z>E{wwDNI}NPZ}6ghh10dPFk>w;JxDgG!t`DIRCXoVO~=M@~Z=LXg`XeIvuOz`37lZ
zIDYOzc!~x@zD?0kxG0LHt3zdRsWM3S;MbWBCQT4Zf1~9|62q((*?j7gvUqrGns+Wv
z6AVljPxDWRp;u>cq$Zmje*5;IEJ#!f+}aKV+h&NPSG3nhomX;L`1RI<qK{hezIrul
z^pFIazuc%_R+h(l){9bZLE3O+|Ffb!n-WOc;km;)K_2yE+g7^NbwK>F=;!Lkl9*L-
zQ0LMYdAz~X{Pyjp4hY-y`1@*0Assg_58t3X-rVJ0DF0O#8rvI3&8wxbvi?n2UY$HL
z4NnHwXX!y{N?^N{wlqGfeEh!RvOGTHahiM)tPkyPN3Le2N#n%Z7xbo-@_5<ACMny(
z0JMHgk3AZb#+KRL5}$14u-!j$j|H0{_!pVJ+vJu(&Rw*u7sF(+b)AsW_+ki`Ze;yO
zt0;r7pFA!#zaoS7Q`F1GAp|_WzSwtPN(NhBFmjh1mB#0H9!5FR1L%eGc<NBgU|v*j
zP&}Iydh;-`*6jf>x$@_iS*<kQO`kL^ESJC_!M;efivYdPnfvNJq;a^*K{)7;IL;X<
zTw6&85GIa`M=WjM_t_$a)2JxgbQqs)dIP}Izp2~fCWV7VSBX29MR1RC<*UgL05TeG
ziNzl!aYfLda$Hvk2MQ_Nhu;DG*y(fk7`r6?$DC*|{8#`d-)+53&j(2P`>piQw*Gj1
zg*pP%_^@8kvzv$qSYsUBrGHBtNfLH{Pp@;MkW-^Hrx!ryzf)R;<zi^YOnYd2ofH2D
z0096043~E_6@D1T?LDr&x%R#8weGd&OCqC;29hYGL=qK}kzbTuMnzUqM$tfo?wf{;
zNK2Gxk(t#%^7HR|-gCa^J?Hs8pXX`GYrGn13h-SM<|Mx=qQaPp<4Z#kG~&N7-^Bqi
z@}TKbB|#BGeE8D8-4?<#cSUs`T(ksJ*@e$mK*SF@QB$h>3FvCt=J8hA5=4r=RrF5C
zqwu+AmgHLks6jNX63erIJ40`{68+_HHcdu*ew7c;#y4mm;<Er9mvf=yIT@U!a56o+
z#f$Vdquc3m=CHl3Z8#@e8Yh=8I2I!hJ_%zf8JRVMj#9p^iOo{DP@G&ls=|XV<0Hiv
z_Lzag&Sd6#MM?a4_Fj_B8*bdr+>}=H(iC)V`YkRBO5lypv5rF>+_=Y(BE4v13J+h`
z%@|6F<M-POrHL!t=ycO6NT|sKnttA(SDTBWt-SoxH-0?mCmF1BPTK_R*i($PPl{sI
zwncfTRURz&7g8CmFovB&_m3aw7s1t#-Vn1#y!dD7dBtH>W5|9N82;K(1Vh^Mi(cR6
zLv_=Es>E_5=-jS5{Cq$dHzv$C3O?mWh2pB#{bVEHu5fL;5-*Im%nr_6TNS{hvX*SW
z+lCOldinMxOJUpuEGqF70<L}#nW!^21Y7fT`iht^o^p(3%lJ+}J^L({!X5+QYZnWX
zWEDn!j$*`mA<P}x_|)6q02aviJX|=0@%XQOAH}kTF?>+)n%SB@I7sdE6j2by5>bjm
zbG!(q{QT<pU$H(MsPFFo<|K?3-Dif`;zaTAzF11qMt#s{l{mR4Qy7!-|LpP45X0|v
zZ~hj{=|Qvq%cJ_E!dTH2Kj>X6j?L#ksFAPg!SCv(yQ;1t$YJ!DHTJUvhD)Z&UiQ`l
zSw%%t?icIt>BuZ^AxYuTtNzMRc|G{3ZV}tQR}_ur;t5U((zp`JN~Vs{LF9BGZsQii
zjgID<Ur)<miJ?UH{zf`5ONvC?d?bd7#mXi!hvZN}CEmU3JRL&b-HLm0P8{nc4&IYs
zQ9ze{GQ&K_>9EgA$)zz|0_9bmHa2b}qGjx8?sNbhYWr0#yB&~3N!<sgcXbu9E8fk?
z-j@zJUz3`T9g)I8rAOo55=t0<gtvh?kPd~6lE}dfX-s%C`o5b@8M($zAo~eAEaeV4
zvOkc){O**Jra#I^GEYA2SV#vi*F|RQHCarLPag=MQ^7BnN@hBG=<uZG{aA*pJlfv8
z5&UvW6%ATt1HuS;u>04=*0j3{*k&}@r}|wDU-OQ768-c*&3VI-hI2#={bVvs9Z|<D
zEndsKc0Cw8*vJTVR>XJzCB5VCBVo&wlC+<NKBP=@ZcGqTLP`JXAKM$qxW*g0`*piM
z9L?7&BfnL`z`%|g=2Q)wNKy|O_A>x=X|5sH0%iOeIX0SQPr-dQ<z+m=hH%$CSUGjK
z3RaZMq?4v7s6o*S-qB|W8m|Ig5ad)b>febikAtbGuBYWoDlq~X+T7jVSE~4u-!3fj
z2^C{pa-~gUj6tj8@ZIn@HLS(x&bC=99*L8Dn7h{mwuB8Ih>=xClc^2#vGMi&tk2#V
z&Ze-k$$iG-x;pk~kj-6hQc*3ev30=040vYO$SJZU?7gnPb>4`IO)bl(t0?B6rG4L~
zGm?ZjKAm?ije?)8R4)w^EWqnL{fR--`hKF58B3K0W^4}cupGC5%E?Im==UUyq!J<w
za>?kPeDT7AT1zP6XB5s2k+7||(T=o@gpb8OjC|4tSR`l5bTUYoGpheSZ)W|Dd@ZSa
z(E#3(8aqW2NEr8h`Sj%wRTLQ!2>R9lAkpAc_gIO9TV?y^)ZZ)Pgk;&-m@fcl{#@3s
zyQYrYAGKGlYjWL}dWvP4tl+b7Cx5)4I<h<4dgxXW@mMsKXP(ar4#hLnLVVTm{`aHx
zLgw-qTkrYh8jlrhX_av`FI2^9(GCM&CmED8C$>5*100s|ZD8(H!TsBmAHU3y#9Obg
zH&_h;?CrX}Fg2l!WuB@|xB11fs_dkZX#Kj+f2W3#)^+@sXk#SUD}sV^?@ab50vzwK
zO|6wu!myERU%B53VRxFG>4-hRG099CO<NJwZhd0aR3@Nhe3v3G55TY5L$}xLh?uqG
z!l8Eu_;FdMjioll5{y&bCg-2aW6^F2D_a6D9!h3@C9!M)x69njrRC%>vf$tkqAoWs
z7!FaB{Vm|P@|yR7g!O+OD8)F_#)*GgXyQX%=5R7pS>^Yt6kaf!u~=#1z@<2GT7|AT
zh|=fm1ac)Y_>kM7?|d9M!BhTG^MV;@4}@}U*d&3+GZizGZ?j|K<Eqc$tEN!*&&(xN
zQXIvomzC*-?5J<~{H#NODcsFWsB-5J!&gSf_)b4#$E`sjfjfFlV5zJbtA#{S-U4S*
zDIEBV7PV2z%mg}PCL;AsM36I6TA_=<fd|~?n3k)J!GXVDc5j?8VoYt?n>bF~lJ(lk
zQNb9bb`0r-jR@f{r`Yrjfn2yWu}jJ|&j@@sh%NlLO9*ocHeA1Qgd2yIzh2oWWCX8=
zQgm+36L2Z|XzQM09`u#>?cSAT2p>vAC0MQykbm#dkmgBVe4H{7(k@~Mc@LS(GY=4u
zcW!>Lcn3cUKMs6bUtj=!?{^!V*hIiadoxDSumJjQdiKMUWB@xYe0D6G6HwjGLi)f4
z0(O)(N{%<_LtXVg=AHHg%nhU(2B-<)+t|z9g)aJVq;WZuIf#I16$VsuDPhc6=+|tT
z(gQ8Q&La`U1k}xbdgQ#U2qv)&CH$A62jBA@zqpMP@PN#{ovON`$d_YS<z}D<(lxis
zJne)~^K?;Hm%A7)k9L(Ne5J!?mmkBvO+xs@$gL`H-M>@KVwhtt(Sdc!z-Z?>2Xmd{
z(ms5YKuas#)cf1l{om#F!sd0Jnxz(avRO$XS^jkW6Dc|zuWoR4PZmMtl)a%>8l|y>
zk3lsYr9oueh0n$IqWE_Y3~aNN#S9Ap!{%lhoUN+v^(2a6VRDaJ;)EP}*w%g$Dxd*l
z>C*Q`UU8i1;W+G2u7LksvtA0GronJbwbKNz1S&6Q6X?xElzKOsUKCA()r7iOp7k6e
z|7=%DN{u4kt(%{1j-i1Z`_4O3j_bO`JdS_WO4t~yk{y{wgYCX=RA<gg<D<_kJPCJ{
zQCY9+=3*5MOe@0!Rfc5n-u&0Ad8mRrDSc9212o|AIUmDsBZqYxWiFe)R>ir(ux|sB
zbQtsb$6C-TkE_qG@(fL=VgDAs)eAv%xW?+$r=mi{M{`crG-eWp`8^K2-b;tmPtTIs
z=ZI($H1xwtgp6s-CvGon(gVAc<4?sNE23SzAD^?V1|A!6bfNa^L2D}MU1@<5)-`jq
z42n}wSv!+j9jy=Nwi!8R9#uy7ahF@S{!(yrsLwBVx&b65DMooXtE}re<vD9R6}ek0
zuAXHw1dG+oVQw{5oT5m_6dlsUu8?Av?<0nw>|(=W`%4u=o7C1wQ=0g}RO*b|OCy-L
zC?Dt2qK4h2T=XO(EtJlovUc_vLzcpszlss+*!Q}gY_nMlc}|vS2ER9fXxE_P(^4d?
zEED&WR@K6HLltAu6Q*$Z1>uin1qoT2Ke!%j(Zr5(i!4z~X22LOAzR3j(dF&s4b4KD
zm~oSjvWvw6zG@wB=?o*|yU623d}>tW@(Lim`ey<0`<1L7my=Odl5kIGRRa^r6H=GI
zujgK-#mN`-Wc>B_`ILGg8UG78dtz=Ez`~W9Z)Z!$m|D=TCoV|BSkVBP-gPb<{gD@V
zDS(X1Z<71Zd8?sQ@BxP(YXI-Y9lo`*lQH>nfM#xv3f3LT<6<+kf<ir!y}wS8@PYi5
zGX<!Gc5Wwc9`mvS*MS9lj`bW66s;LCFik`;4z;p?5G#1+(YE6@Q5}!?UQi-9%Omsg
z4A1QKd9<-x`*wRZbQsG0SUn?+vkQ-J*n3-n!hS!Umffn@T>64ds8a%E*J_OoEUbWI
z6QAdY02Q2nHGS;LlqiOOtq8RdwgUIZH&@F2l<}hK(4R7IVT^kzQy%pmU~;rVv2T|W
zs?U3`W)KOOINjj!wgBMHGoOQv+ZEBOz@W$AARpfJTsvg39l$4fif-XX#D?)wu4j7O
zxS1lhxStz9OgrdWWVJjhs!zl#=W<};eed3z;g&F8QPa8nL>7M&!G0y44ddE$zZdsf
zz;kPx#S?#|@s#(^>exvZw1X6fc9I3errO^Lw3Wj47~RVo+nLd8d6Vz^cykc%|0_km
zBY_Rn24*f!W^{Hh;W8R9gXzFZ%_wtmTzpXUK)Hwsca<;MPSVWaFKfw=)VL^aydCu4
z?|3HsS}4f+D8m$9Q2tBwtQSGCO6e7;awfbnXz|5!+62mZGVIq%h4IAwBNGwK%(zr%
z(4gdO0@Q-Hp<y*bc<^iWNyiLkEXj?c9jP;hfo7KOo&f>|_er<vZe+pn?Q7i0a>l?~
zR!3uB=c|`=jL9;Q6(0)xI+B%Q1ZO)>hIR-EV#^kjH-&O+xS%QMd3VJSs+6|f_YoDq
zp%DL5L?d?G>Gv#5Aj}Yc&pULwI`X4rl(p{BLma5&)fCb?VF05)&xsq?@!@jNQIow4
zPPC(##=PHe0Mhxy&##^MP~3P30yVg?SL&zp=}CPMyA5IzB7EqzR?b>p%Yz;H5nY2v
z^x?CdO|>RFAD-!+aBX+yL$|j6qfBdhAk&^~dRCDSmyX^Po#Pe2fUi1z#4J5{PPr-i
zX&)cfn8g`XeG^3g+pn&LsOf>NXVez`*L>(bc{C~T2LV5ZYj`TQ(P1HxPq}wLKTfu!
z1mIsGeBUr)8}CPlLxxYgEL8+>?{5hM-gWMH^^DmK^3WkjJBoWZhamRQupw!SD3(~i
zu}^EHfurya{ZdW>UVO2oJ0@2QZCv>USVCwJ!QZA<y3Q|o+2BOud2#GpZslqu(O^vK
zVOxZw5bkyFXkgkWiQ9VOz09X{*L%}l(<okHwA@tjnt5IdJ!<7Y={M?v|G#p&{D?44
zi2u;FzaWENmuHQ3rR%~Gb+6vx4iUVr$+M+qhaBenXx~c=)&;LZ`ID9%qNp6L=>I@R
z0Zlk7Me=v(f{(X=X7fiejMJ{(+IOCaSK@6-E1Y!U#g~!VHXaG=x03IQ&sW6CX^E$=
zopoXF?XJnH&622~emr`*MhOi|61V&8(FKphmAs<sQh3pSyMlJFGCs4?-gf1bF7V2V
zYNtuc;I?gFzYQ&^Aa|w3dA@pGIQ`sViBKYodrrGP{X<nl>tV|f>1AEGwhdQ&*K=pI
z;^eu`0Ckkw)&A3AD-DPbePpRW6mV+Nht^v{!hzDnYC;<ga<MG}2Z%_#w(MUpKt?~C
z_kyi<bSP)~#n%5w5!J&5)H``7IJxjIZr?XL%;^33B~+(`so8tj7d5GPwrO7DS%Dt#
zKRJ{}tx(2EOPd4rrka?g>|H2(P#@I&Z;I|LRKfe*$1ikHw2<+hW6PqO0X&&_(_xvV
zieb-w@WM|m^yi@W@wgd6d2V*^&loi<vDn}9B10P+#h2UV_ZdOIQGAn-k2=o$X&rU_
zp^byl?Sd~;jbZpHOJ|EN38z?gF{^RvpfPPz@5Kiu5HPzjy#EIY{SUl&bnUA)20rq0
ze(=W>PW8+l)5sy?eAdME-67g&{$ykEX}USI3rKFgDy4xRJ@lP)u4&<7T1wP`KnqAv
zo-8Xqp@G~Z+(pDJO`K!pZi-H`1a++?Va)~&{Qk}jI<%>ne(6o^!OiP=-Y>u1^Qi`Y
zv60%cJzWDGbBz5iJOOxFRd*(6z0X`L^yyWpBcZf#%-vFo6+G;YF=5-QfjZGYm1XXz
z;qG+t9O_9c*mKiV-)x4AO%IQ|Rp+T7sdIM%Hd;Y>lH5qTD;e`LJ`Q7;5@x$avVRz|
z0`ud|kqwz7<nVbMRk`ld7v9fYpPaISyN&U-CvK{vT2jUP4H>d{`1{#G>e%|+;pd9)
zEj2VtBY%Z@NzD5ccs8NO3dX|K?RFKZqE)G9@+*oM`bzlao0eO_1D!1qi6>PsHR=@G
zmsKGwzn*tzY@Jg(+<70hZ&k)^HqBMjege3nchXsI{Vo;3Xt8EBB@F*;hqtr2kx_S+
z<}nQL5SN4fSBO}()q?4B5<A*Nr;dI|1K2h{V{dmu0nt$egXt{D{6YgN^Z_iI{>!sH
zDu=$z9m+xCYYe6F$9*pvEFmdv`?nkJGRV2lqat`^nc)#^R=&K>{mfHOam`%{SFPe*
z9?t(}I2HSy`@7Ks>N>qT<Dw)m^M2+H=YgLL&h}aU)9L0Q4O#D<9*E&xhxap?>5B}9
z#fMIB-<rV}Te*k~_4OVxNfA3gyTItz3f(lQWCmx8wwe~!3!{1_lSlsO0>gKU&0+l`
zrf|hD+?29k2w&8S{R?tmWUPK-A-F#=0YmF2HU}&SnA-8=rmNOZhLBRFRI;oIBzb!Y
zyB-q2ErtPWJUf3eUVO0JI(OU{_|DD!{ZYz?Por6OrFQ>j^zNTktm!ubtH-}TMT_#{
z$HSpjjnPXCO7Stf4pSrW>6aSHY2!v-!3iU|T`P=@K1)AruNs2y=JR(3E4WbHuDbhD
z&?>{R?BqdpAwy_&-zWI*5hwn5%h@h{WsNaz`ReO|QwBiFb8H(VaN=0V@%>~bW@MB$
zcnSQ`2gcu$?xZvh^ym7bYhlfT{W6<nB-S}{LgN{6w;l&7n5yhPcYzhBS|SI}&gy}x
z-&7wD2L}e8nw4H+V#hM(@XEvCdT_Cs%|B(09S=%Hy=jl*K$VT(+6R~E;KuUom5u@j
z=BW%wHH&fK-X`0~p(Hx|?rD2l>BoWh&ptPte$0&#BcUTX5_EX<vaID#7Y7FW$Iv=5
zc`;7DmsRy94JsBhY>vBgVw;j@1XC10K8n%)bl;8!!o#a&uh_Y;Dl@JwAyE+PK5uGC
zAJc`=hmPO*`?=7%QrysJo#&bzg#3{-U5FjDcoxycji=uB$Yrnz09in$zvI5E^*>pS
z)_s`YZLIVQ4>B3CRi4-=f)DQU-*q3?f%{H(B99XJ5akC;pA?E>dUlKJ=29K7yyq+<
zl*o^o%<Refg5oG2DzG=mR|j4?#@^}U6U6Qfzbmr}B#>o5%-B&~2fiFSwov9nz$Y2D
zEonAVIM4m9(Q#TEa(u=POKcHBkJJ`{hrBXqoU%zXzepQ|n?}8Exd|h&wXHIHUKZ8J
zoAd(xwLv~OYTECR2)4brzD03a9-A9ZihTraD0RvTP`e_Eod0FiW}YJ=Yx1={M-8-r
zQ))P4ct#A{-Ai5HHz=ZV9EoYcP8(u6^h0)Sm%t>-*}qj&N~pm(x)>6v4H6MKY36Sw
zk$uHU(t@UfwiC?7PF>n?uE#U*Q<yY*zK;qpOH#$zowvs2m2@DxsAazcNfz_?kMo`%
zRl~}?3xT=eI?(9PXTY>1hh&uvnwwlmc<=k@3&9UM5X|&WYwEKCDriHC7lVvO^TXG&
zy>%g%*4!pJPedob!mwN|3f`igjN)78T^Bp&D$}YWo_TS`Gw=cxQ<kWW<hwL@(I1y<
zL{P>f5v+1==QJ^MqwPOh3LSI{M7veUD%k!pf&G}CHeL&|`S~(V4{nXyOorR2BJ=0U
zi`E)C*tk>0b1+*Ul9SKR6Lza%4W;Omc$p5;QhILxdu#x8S}xPXFm?QV@7s9PKOMYB
zv3s9SFoG<NkJJ2-B>asfLNo(iRF;#WMjtT-mbMcyWx-^$SAC}*VWW$cfz4Z+zM8;n
z+Feh}O&Z8PV$~X`qKi!9m$^E8%plwFd8Py#1r?&!0`I)k!E>M7T?z-yK`7_XeD);@
zzGHTPmCZV+ZOHXZ(9sgMB<#9c&qBo<;mWV2TG}{y*!6?)Rshy}dFhEJRMZex`qkvG
ziTU?`hm+<2<e4Z-q2^SqXMV8xx&sBzy1o*=7;ObN-rMb{;-+Hjy)^;-ITAkUQf1Uk
zT0x%D>M7S^3Z5?z`{EI-hAKBREgxE0!*N)=AIn5RLSR^2QJ*p@`9Ic;KVc2bH87;6
ztASZ;2Q$MA6j9KXule6aYakMjkG(M<qrBr}0I#<krqDjtW*1n)zQZx^HcOK5uXuu-
zYOW+Mzyjm)X=~{34@(dmQp3nfuSy<mQPdlGbV+-sHT0Mp=dq=$qW`>dpRXAKdGu+9
zPi3uPiiPXpJ8cz=Rg(Eplg^Ecra5otURZ(5EZy}(w-U0Ehfb<rVMVeVPloLJy)G1a
zhq53={P*F&5|i&LL*@55BX1ciNPJecG%P^GWNL`HpzBY@Z-*1z-uD1fKW}=KA0vkb
zoFCNo4^1;Xb~s;hbpc?Tirwq6B#paspLnE+d}Zi-FERMhYY9DTowxHZN#f42*cpLG
z1B_SMR#)uTEWk1+bYk-!aXfE7o;#A)%lIJ8{H<Ka0<PLcst&n{;?j$?3^&3f#_Xrs
zfIR``U{rGPba1FJ7IJ<{^R{hb43K5$enn<r_wstX$UOpHIXTv6u(^Q|wf#q;(Faqg
z`Nus&aT7qntZp7&y=I1RM!{#Qf+@_35&cPLc=1rU>czt<j~Mron_ImDO<-5lw`UQ2
z+^A%$>#8i=#Ry{=E9zM9JK=2h>Rp2zm>p`7b9?_whA$drdvO}W?iT-=<QX<>K2~<o
z=XXD2)&Eq;!fqpo+-ubJ!I~Ad@;1Aaa(!g{-nAp;VDoz4(Pg^u_a!sdbINJmG5^dc
z_~~48S=JEFm&ME&<ujqmQ)_$G%ikCdl+`%jbskMgT$eQ@tub0+{TB$5<BXOo!W`LC
z`p^oa96usg8N03(bK2gVVvuOtPl$NwL*)Gs`w98K3<aS#=k+yb8TtMv>K{MXgQ-jG
zJLn=S3`YyYK}*6sL%`voW4etVWJlT6=Q%GkV%WCQO_&!MLRaQ5yEEu8?WHSst!Ig`
zrvLHkL6%<(!q<sTAqzV23rOF%m%7CGl#yQgO#BaHu=&{in@EHA!FnN|Pc1Px|Ja2N
zSS>RuyDup!u5(AEAWMAd))J$XpFq2w{Fm{fn6)~fPZvV`@*gIOEHix1*p$~y{bOA6
z$)rd5=)$UtzClyPGJ_i3(mQ#d37N^Ys=McOAiidkd1UAcqwf{f&PbF6A1rzOl1bKq
z%nW5$tH8euztaKP;-^{B>#%n_gQx=&!!O5lvQ`-bfgI1W3GArlQMvDaj5bi@j>arc
z{9}AP&`~wl#DU_0SI)_!7N`zR(~p=jp+|gFUB!P~*pQldbb(h3KH1%|{w&9gmH)9D
z2SxDUd+W%89A8baE}VG!PnrdH{i=6RO6S9?r!R^feLw{nkJVTUeO7d7oE!Y}QUJM^
zHzz8qQDLLb=Bv97v0+R~Gm^^JIXh_5x#c1SRuk_2b$`Z=BcXE_zOD#i?`&;;mly?<
z)1O=q+sKLeGO-bohehz?)SI{Y#TuYS<M*I^=fds8Hi|Wy7z$i@FgI(U0e85sXW884
z!3@VMLDToekt7?r!(xaGq;coH4V8STr*$s1B2N+xxIKrAa>y{6TmSDyj{xd!zjbBt
z(mJm~2W>{Z$siRHqQ*E+z@i^H{@U%b=yo^s%yly|+`N3$r01OwcH3;QJ4#f*zt36Q
zZRlk9&61K~Wh#OM+U1p&S45-?YG^OnkU`P6cC@Ei6zx-<##U)5p;z*VaO_bsu<!i!
zT6mW@9=~&#L@ZUtUmN23L^{Z@g8Pl4<s|WVLE`2z4OM)!J*OtgMgz8_@|vkKOXDjJ
zle!-rYM3b3HA$V;fHLvfnl?^Zl-}QL+!8}Vqd)1ngU={H`jt?<S63dBkI1APv(&(C
z`9VjX4pG5X{J~VQ1reRS+U9@rQL(U~Ic+CR3lu#viWw1#xHsLS$nc{kY8gvNO>}F6
z_2J2Z@Fpc}7CUx_xk?)^vHdhC8_<C|hr|!|JSy0*QXJrOM+f!o#D0qZ)P;!u&II@Q
zsiNlm-5JezUDVIqx5wUu4mYTk+oK+;p=I5@K)L}9d5j}kcUS7c%!ResqjDr<8olIh
z+C{@<*56~*U;xuX3bXZx$;f*~J}+9Ij->&6PMG~Q1O;<%-QRaK(4aQ2iE@yR-vkWb
z1-~(d>(r0-i-Qz&yEN^v*N={}?%5u<+f2dRv@r=kQqh(0E|F7$jt@+3g<rd84mL);
zl@4{9c;QKs$=3uLZfG*Pkx*_4r8d8m+1#{H;5A=pdYLXxy&Sas-3kyi6n3hpRtxX%
zRy1Rd*Fm0Tz8bY$D+uzOrgS{j!f;K6j5JFvJl|S==%R}?bX0aGyw29bO?hK4zsXZ@
z;IUTJk8x{|%s%x>L43X6+TNIfR&{*f%$M?P*9KT3X1Q3nXyQY|In6I-D(F1Ux?Se_
z25|XWY0zayMTdsHa{~+_R_safcI?;y{{sL3|Njh^cR1E>6vl0`x7XhDHDB9{?=dT@
zWQ+KvL_>&Z8Y#1+A%v)iND(2`_sQOyO39X4$j<or_qopXT<3buxu5&~Ovf0u{iPwI
zi%$*ierpmyB2tSY({(0LB%S2eoFtFRyiT4<isMEe>9_4QvrXXjGv;4cH)K&E>pO*_
zRu<%3|MzdCrwR0}ze<eXFM~o|8Be=UQX|iRt9HrzOrX)~3=MCz6cXL!`oQ#S6+g}2
zDJJmL7*u^KwGLHFpmyCfGxEm~eDr~GiH?df{J0_3DNH4f!aLsP=2g{T90$9b+{=vM
zz;Tn9&c`B%!fY{tuVNCDGhY26q+<l40XL(Vodi)wP9YPQ&=OYTFn?bCJwRwBZ*+zs
z0XetnFs3rBVc!ckx-$#_PT7w#TyW+=)+wQHm;yGjaF^E`r=u|t5AOBh%i}~ElS^6w
zPqr{F=d<^pry0V&`n*S+D(omO^RpP%zm0jYkdO4189>LHlSJwO6ME9U<KuH^2fKGL
z?Yhf1eVFmHAMCECN7vRYZkg!sU|VMLOX{@xAXYKOrp-x%;tt?{H|n;r!R))7vbtnQ
zD=HN0t)@VINgV9vtlQZ8Y1iDIAU$x666t#V_#ZBOkeKA4x`hq>^`dVs*M+!h3ag(^
ztM~_J+25r`|FBe#qC?4)x*(ZKmm*%Uh`(zOsv_BKV#^bjI}Nrv@Ku3+{wMP+-k+J|
zR~)c`xkr9-UVWhrStpIfwBC*3IcDWMqq*yt4R3KmHMKT8TFy)|KRbYLno-iuZ>(Vg
z=5L+9p3nm8)t9M!jcqu$c*Nw&`88}=y{&D&SraI3vy>!9m*6~Z8`<g1YnbHl*xhPP
zO_)@eP0ST9!DjTbJlwliF|QyrB9fy4&I#cps`w`C`mN{e6V<Dji1qA)Zh{6Zux5{j
z==WleMaaI6L#r6;hgreWyXx?$HJ8B1@g2JuwB#8nw}yFCx)nTOR)@lOqLwqo!<g=D
znl|r~HLShN>ej^s5*U=R23hBiVN!TV6Ea!H{<A+9Ai_?9GP|XsgI6c9pZ0!@hxs<J
z;fz-6h(~IGxZevM)t<&01j+hs0-M+^{qS!I5^8YtMCK6P<SaH7@bPl&p?}!cDaQw-
zVpaG<En81@|2O6-+VNPkd<)Am`CWg?L=_Ax`013NFJNyBSB>WEcCcLjbVth)75JIQ
zcD9{<33C%5YKn4GfE5F^U(dKQL`KAkt%v@_bgnZ_X9`ln)9E(0vm(miW+!k$Vrv<*
zkxf@NF{T2FCH6T<4<*q0*Pr$7;VQOKHFZKVjv9u*Ii2T)B1|3@5)`vo$IKK%&OTqE
z0jflsAm3FY6xYU%4+w8!vMXOMU5%!LM-vP0ovewlKQ*2wl4lEZNfAqaXUqVRh3DOf
zg$m&BA#OFOxr22jujiI2Fv5tVh@2Uh0$jNjT(W9J0f$#?KWdpUL+^3LV$mD&P|x>B
z;c6r$Y*%<6JaU&6&Qz+;*=@<eO0~__!67OL-QCw`5YG;YU1hnMVRFzb8dm3Ylm`Cc
zo=Vs}2W(xXU7uu;1MLs4#cdn3P+1x{QsvJD;|W@=W_hv@Zaytf|A`(d42KoH2|V!Z
zM@$~;VOelw@L#@Punz`n&TBFK;suA7%QfHVWZ`GkX$9?iCWtf3RK7JtfV{}X8;R{Q
zVBa5bWQ>CqQX4CpUeO4`TJ2HS;Cva#w0>^ua*!Q9?o@f`xd=m>@1+rPnha2w3kaUe
z<p4borSzvmqL9*~G{W*+1_T2%Z7e0Ypo^YTV%16<o(@K3JZYAJ0g0?NdYl{VoLhv;
zYb9Xqj^A+uPFZmJB_ES|ofm3+)!e{I3b;8A<bMg11vC4$@=wS2`YTQ_XQq(>reO<T
zMt(U6&}CNpaaI6=U3jnMG|7UHVX3gtxE$nJzP;L+Aq0{ii=EtZ<YCtIUF)A;@?fHQ
zzy8CD2rNB8i3|6L@Z-DE(io8lm6$&ot`q~)sP%Vh2}<A`{;DmxToGte<xhQKlmOGN
zr#9&^D!{H|bUXT<G7K@E;pjUf2{&J%$?Km~q4tmFVBLSJkg1(|Ve*?4m^^;e{^-@7
z9zxn^_T{O;j4Dm$$YB}K>^t7D8$$x@!alhaVRdlK66Gbg$U=NNC4aHGI+*-nj5n&*
zfO78byeT7jpa>i?i~g<-UIC|FF5TAxcc0TDZhL!|AUR#zLDqm6tI>|n@j7t#sI_!9
zg(8fbcj`;KX@EJ^-5Z)u^?*yBojG4!37jH>))Gk?aPMKzlvA@l?7!X3*`liq!Bfo^
zJ>}{kCz+aJyKD%jw6*F(=~aL+qj9xziUgmZo;4b{1yJID#8mK}3Q(R=E){Q318%LH
zM(+qCFzU^^MAfANDI$V~5w5DR+u1ju?r98cqFEVcpH$!&b5DZzo({_xhM0#1OyEk!
zgp<FM3dop;c22*RhbQGhJ#qym@b%d={v$&fxN_*D&$UZ~m{iT!Z5C57D7iBIB3TKl
zfB1y)kBh_W-OKDrMy7DmcRbg~LJ@vwa#%$w3js6!iV%Cy6i(gA=PsyG0M`SEz{}19
z>8quEd<v%UCYgIMicKDlOk~P<>axITF@E1u(<a~~kX67*mW2}Q^Mg9$l+fmBH{g87
z1o{KzxE$=Hp`iHQl`laHSm24l-9}Lp7^=yqustCOdx9BWN=e6}>wP7tpBn>aoc|;-
zR2(i#1dXKqoWeCSZSVVv8N&n7-t({2L?LM4h~mQ4Rs8KY8kNJTMsR^s>5pWJAiSmA
zPRQci!F8wWGPXI4;B&WeSdB6PuAM0R)!9ginv-8l)+GS2@;67{+TsS~;@Fk&LTXgr
z6+s{|0i>As5bw}(f+Q0$>HIJaA~zQN=Ol!IPyXjGnvYn4?cp=QU-7i4GquRZQqd4t
zv+Nl5W$Xh%+hb^|lNLSI$6kb)8vtc)v)d7VS~wJ~d_bj@7DfK89IrpE4{F68t54`C
zp;0aDN7O@Fv`^C#FHRvtR6~W(Qq?AQ-_S(M3~13bY2#T@haMQsIns41FJoDw|E3nd
z)1bdmy^f-6dXWEGaq3zA9JcJ8$=w)4gADwSZ+biG!W}bf8w%Y~jC_povo$vj>eV=V
zb?Lbd*ty&<@9pZsLbqK;yFOE+!!O=&7;I{Te@()E@}GN{(Mk`?U?ep<YH7mS?Vt^>
zxT$k3&bQzrY*z2@9i>La?~1vt%e7$mpbmY6=y$w=<>n0aA!>v#e?8<Pq6HTj3u5K6
z$MC6=e@}uusL_&mm-?GHO<3HC@f%Z^#&ab-o<F=pjTBS72!t&SV0G2}*JAb?@5}z7
zTRKRMsz+Eyjt6Rh0PPm?iCV<tRBsYTtZ5KSqDR-+d3E5J{IDHY`xifcP2d6h-du#u
zbTS3csYAKaOD@Lw6})n`AXa_vJx8}+*SIf|Kq6q!dxCBq&-CznYvo6Wa*nQxD_kZ)
z#py}^V1Z4Xjea>d{470kn-d=iqu={K*xS8ssBGbprF1nCNeoDQxh%~)RSiz76_t8g
z@8BEs69jy49}*OEZ~U#I21^x_v|$DmsMLtJQ{0{jr5L{pA+@MN9Y;@ExCbQ?JzQ<&
zw#tl}-_)Bro>2v1>&=n5L@LBH^pM<G&x(3tdotqKRbiW8!93GNjZzmnFq#wWh*2vk
zU*Mt&Xh`i?Jd~qFP4qWrZd~U;y4rnoPW^j+jgC4nKB7ZIUvTfsrJU#>`Rd(hV`cbp
zj_$Ru7z64*KVX?b&yA)p@z*9*DZ!<dso=qeeJJHd@!0!IJjga?!adel2_nmK&!yjG
zLN{BO8A_P>5KY%NiSn<Cz%{BqHFJ#xE!;oY;$2NZ;i)BoSz(HxXvfCJf1eGVO-kT=
zn=XKU_f6hm(^Z7PX1%pf)9grQypQilh7jV6=sYV#uLybStp?iSoG8)yMM_<r2$I>(
zYtWn{f?-HX=c52FltK)AmKraHaAWf|`B@@xJeJ}O_`!`%^WV5A)Fh6SuMM;-@7+Vu
z`8rG8ix&xqzv^`rltjvxea`<fQG^5QLbJm31eEyou4hez6bjIqjPcG<1esT%jZ#hg
zDEZK8h~PhIH0S?&LqSyu9A*_N`tk*lII-yOp_{U(KKY>__p}mFUGzIg$`?kNcbXD0
zVR;mOJi^(cPZ^xOrbKSmi=qyO&4Tbx3TSTpCKF*(1w{D&4e(NkqnlYD%B8&&5zmV|
z0!~G$@Xl}eM5(+4I_LIZ|4nLTloffxb}C#AR*KBb_Z^c&&wH7eIFnV-THHF-+lwS9
z5m&`E(xlL*&`<K&(W;1nQqFE=FK1TgI{KU$kVXS<o38h&s-eS7O|s)18le4v`M*(q
zS@f7IOI8F|Lu3azE*p{-RIhJ+sy`x!4r+hg4pbl^xjQ3?24&jtgK@%U|8;pJaxe3F
z@o5q&T$ze~VW$g^T)02Hd!T^y$KwLYp(HeQ{D+G+9T{W-Z&S3~CL*I5hn^xU5^9zy
z9I&j>hZEhFs#~6lXtwf5Tk)70a;1v3)DAO*8ZQxb3OXh9=jNnNF<A{=-Z6Xb%?rRl
zykLAZSP7j?2{{<(sEQ(^_J@cJ0R)ME=UvNFLR`Ltx)*`UNZv5tiu1k^aL?G0iqe&k
z^pj@|Rs%$&S$<~RUC|g;=V>j=ZIqCCYFV1}KRKjx{E9_jt}*c5jmjLt6%n(j1#Y|`
zjbiiOH(lN_h7-4)`eXkRk?wJwO2&Q(<h2tRouF<4SueET`TtQs;Wnv!5s9LR{b((B
znz;$&%G&2>Rmmfv8PTur-}58>)rCq`Jrf}PimUGSkVA!8y+=6gxlx_@#sxM`6F6*~
zH}q#x1}#qfd}=(;ifSob8w<OQ;q@;y9$QywbQ(MDeCY%odga<dfx?a9X;5;QWsM}_
z?Vuq{tL@+)xlE1??)jJAOyH+u3KGcv*W?U4;}RZ{@(5QdH-c+EO0WMUiy`Z1scW?^
z!+80rqBAD@jlicVJAc2(9&c*z*w&h+;@TRaFBy6PEUSmOi&X^C@sO>oQI&oySMIl1
zwFkgeQx;keUjn*EeE#`V=N^BAub<HWib1lR(nq^a9^~jgMcNvk#)`RxOOp5U$<yqW
zibtookmB~wm-aRD*gy5co8r8N@O_^5dW<RuGRg^y51jae^&97Nv>F(|@^JdaLyoK{
z)TGgN*KPp|5$ih4epVl@e%onjDP%+!nR7+|DlcIB9h66SvdIu_lliCFlODYeNzVRa
z^#{vV+l_1cp$BZzC2gnA(V!c-$1j={&12Kkmzd~8^*}@=Y=fqa5)FT!%X#x=7V|z=
zD}LpaE^s`39lE=;gE#NHz0GuKkCWKB{|%MtK*q(IS>bP+`0wMF-wR3o!bmwmtdsk6
z;4yK|vJG3q&rCsJeZx3b6JX?M<fRRtX6m%71(xyVmv6dtf<`ghzn@>e{Hz7c4>GT5
z9$Um;XwxwN(-_8D947jQrL=(V<peFy&O9#shkPJU@&_hFA`IjuXu|p-*83e3)A+Jx
zJd>p8SM1Q&fR}CS8j#~6G#cYMi8IUFK6Lx97wb<lEEe_E0NsB*P6KXZ_?vn6oDZ{|
z*vgAHazTUYa79)>n6_mYZ=O@Aq`cgMjTO3Gc<!JM8(Dto?Ye{b%cgX%*=Kdwd>#MQ
z+g&6W);s#NIsO~I`1ZRUw-v(ptahZ?Y)SCl-{W9Ga6i7~%0I%^@eb?x@v4KVR}CDp
zYulT~dhl5mi=oE60!-M>W9F2r8mOcX`LEP=;a2ui3EJdjOqbW|*}idAkX89h(r4_%
z*EJe<O23EWjGJPaU;R}<f3v0A*SZbAe&9v~Z_HEN<AwHzj})qarhSe-5^2G$cGVFN
z%^SRxvTxK(Rt2^y!qg>$oABL&`nY{T@9<~k!N!wEl%Yz<a#z%-5$AjP_d#O82R!Ue
z27^YF5~QnQpRnKtyfve<vfA@Ap2#dO$55pR?qQV|;^-Q1f1B$X^xn02qj%Y={u&W}
z8-Cyyo~y?nyyq8i@o&JhUEcE)=@7y1^5IJhA`Q47Wr(UtTr-|4wEdq>m;!{HcFKH_
z+JN7GklU{EsSS6NCr?#2%fsU6$r~q~8*yH8rLA#%C!Qn(KRE>D!CyopHs84kpSLGp
z8Mf)h?X)MKi22LGqcssrQff1v*gU^uqtc5%Zu|VYVULrpZCpG#$=`}c1=ht9Nd0(t
zQb5(TtSq#$MKx7_Z^L7%@BO5A|B7E)seX1kP6nj@6E|xg?!cExjct1G2Jj12EU_w!
z(qQo4_!<Lm7yi`ulCGBNAkM_(@k7K-8WI+`L|Qz%@!u1_o^R6)<M^7{MX?qsFqkSc
zAocX%1GbVBiMK~^c3t~YVM8f+Nw?`}?%#)h;q!R&TXzgMAQxv+mPtZg?ytH><S%%)
zR#JH;`ve|p8p2npA_;n}^d9EA-|*^$N6(UYf8nWKJ3Q(|5-=kGd5nJF@m`O)R$bd^
z{4DXqf~Tqkh`g%QF&Y}gYl0&eQtM}N@w(j#t#{%;5UrKFdT<yQ<&Zh#bnQ2u{XV&{
z027C|M{>q?8%FS7x^%errv?0TtaJ7IRx#+`ih8x}H->*R)n~lty@a2g!JWL^#XzcP
zr@P8{0{8oRQ}r!*8Q;;cV6`6;1)X-WVTuF4aP5q-+;-zt+#s{xL!C<$TtBu<ibYN1
zy-UGO!4d2Dq_1LVtc3^|UKF-r-k!xjVy|WTw>NRC<k!b<#|ncYkpes`f8%lV(c4X*
zw(%;h9D{^TA(%N6;-x>lfEQ@-EH0m<Kwebl8}p(<;MvAtZ+v?R_kEyJ+QCbO4jlcg
zL=F{%!ibS;);`NPo5n|r^i^sku|LgRYCr(AjNQq;7gupbQOa-E80pXni*}nha{*|r
z5EWJWxQ@5q<UcFy%z&J2Ju6~A@xwxu-)@ufKb#57q~A_3qRSbo@zEyyP^5bGBp>Sz
zp5M32!}^{Dg@x!}Hu^$<UgN)EhwoD$@;%B)D?fIW(24>_t`H!bEK}oRL4`c-AK-YS
zz=_JszF6^S5J1emO|Vpz27UU;^(K;+8?E<vIufY~(0;3a$kCDxHL}R9xNGsElVv|I
zYs~Y(rsld&?h^*|5EESBNhBb`m}0%+8Xrj9pyIfo&V<O3PJPd%1(6fTjwr|yfcWqv
z_LrFz9bRy_%D5|x-rvz1OpYP|cjh&fqp9p@_ixk;%Uv;4!`991L*R#jiLSYN2Trt`
zCm51xF0q%FwSW7}^8;V~8AT0jFTY+q=D#Z?g?OmZ`)lliF!I?ASX_8fke<|lm7)v^
zd?J2z`mPXcm3gN{=Ms<s%lYDTH#rnnnukY+i-57%XW6p~f+)O}D=My30R=o@>s!4f
z212DFlP#0NNa2V_;B!?aBy>fiTA5M;#L31MHhyC0R<*ieMY9TuCuDY)k4l22_WEKv
ztpw7@*&K<`S3`ej&T>jC%0Mc`=a=K<k|>}%SNCNy38k<^5`<>u;0>XMWE3fl$^-AR
z^3ABD+xdhsEk#9GNxki}=pl<}l=*LRC}^URTXc_3Zm59IZSkEy2jvkO`%Y>%*Fyg}
zE}a@9l0e09C?Hjfh(bQJu9qljqn|#$$D*EUK$s>Fg87xu5%<4^ip|=H_xOUvL04_a
zq4v=?7*j^M=bJdm^g2kS=&j);b3Mp-Iqo81q>3KA7w`PorH$w&J6WXd3}9tG#65pe
z6_s4SMe8D{jbhqw3*?djsvqr3xPD0u#rj)XMh<GC536E7<%*18u}E#PtV0b2`yW=I
z71BVq>=6}#j3&_CDRWPDUJX4_T-#NjR71sSXJ&6}nZjUe4avDpZEqg4sfP=dQH*Kw
znJZFeFcF&ZR`k3Yx>)ReXjD)h;lAak<yy?(?8BQY6TPbFG>4L>m$xL6V|&bYU)CHh
zZVf4U)2Jd<)(V%tJV7LN=n~$mZw}~cq(2k0GNK6P(tTjgfj%pD>4|WeL)^rf)`kWm
zqDydX+4#4M?>tETxKm~Z=OWXNy|9%>6gN~J>!e=9S17w<FObY2h`ev)>n9l`NHw=;
zcw`gPjb9_GJv4>(4X?p02`ThkQ2XX$DLpvXKa4*!Z35%K8gb^fIP$Z(WJ%S_1~R|q
ze<|yjKt+jecojheC1keoj?Z#Jk`1cVj4_7z{p&VqNB9x>l*#lwGY<%QY{>KcGy=)P
zZ>6^TxKZ}ygP8gyURbL$b5GGXf`dY`I|2plC?(=#m#7OLSQ5Qyi8%nQ*)um23-+Pb
zFZmT)9ejKBhno!v0Df#iQ}u;Zh=PfS@A^MJa5D|yGbUni2h>jWyj;imNSBkA|MJ0P
zZ<Fj5T|=mfZ8cK~p25E}HCOky@<IJQQGrYs12~{ghSA3j_!VaX*7FbffM1eAfFe#G
zEPm6Lb~Am$BAS|{@9gz6+=&@eG?5|SfAYUawDXvk4kLq_1Rq#2_b7<*kYS`nhcbC`
z1=FuCddj)V3omYY+Owb2gJ73$#&=@2Fcap}t1<(;U>Iojth7THhTYe3S|dt$U(1m}
z(aj6b6>n@y>g$49z2ot_E7ZWGz_~3k%nRE}&qz7NI?(vq^snkUI_P$qn=ql{15-Dv
z%$F)UkaqMZ`|%P6h}(K)6lTT;-*nym+x9ppoF*Z*shtsS-TX}s%jAPq=USO26K$B;
z-euEkVFqGr>QEX70km&aMumLSf}vv_9hI+HAt0T;eJ+y#lmu(Jwu@RoWu!z`Z^RDt
z9C>bD=KL@fw_VdOs0I9TPKuc_95DNDNVtVw0Maw$7T+~$f}hi<gu^~g7?{16(K{*t
z+^sCPo?p|1;kzFW$IWqqUj}iS=ZheOUZ%63*3*Pn+a(Q2-CVG0c)^}wTnH>^OO;0`
zG~v(ixuDRG+@QO-zk_O@2xw~z@o(($AfIZu7X51;FbbV!QZo~UF~!=@qC5@Q@m6|M
zo5u_OH?;a{EXAPq2_5g9cnw$&p?I-Uzy}X+1h>2Hih<pqBVS0DG@!V`;mhMn0`O_N
zM8tj&hxEG68IwQ_I9=Z%bD^6b-a0*-GLMu1<;A1gfgu`TL@rdCUljlbF7io>Lz1v)
zTF?^|s{t*ZVIo9XAsE-~_&^~c1p{OHW;FR4;L{%_w|ZO{&S@SKi&&R}o{1;>d;2xO
z-#;h*UA_n~Pctq=c1lC8ZN^AEmnLX7CRg}wio(ZjIikZ087R1QF0IN#6Tb80P_*WY
z0k1|!<=0EH&|Vr<(N(1hHx*V7<hY0fiJy7%x~Uwr3f@X#meYbm1XkM!CJDG8wnVg{
zmWTB8O^-9rwIDU$GwRz%3DERh@tZG}2hOQu4>MG?;e*O%<4-?Hcu+j>yV6ntSmQOW
zF12U_gom_W7LtO8x>)>VivslNNd+DZ)&UFO;wJlADVPy0$;wqC!Xf!zlQcwKc)I-8
zallI&>eF7Qd7ULfNz~77%2{2QH@nDby)F$01oJcg-5|mcy<f@05<M7j3sda7E(0lN
z%6Dl4h|q9g;P->;WLUcF(37$(1Mv=8PY7y65Y}>4^s>|kcB`4XFOIU{(^m1GzD5CF
z-gS~;<uQQYBaJQlp2@=Rp)-8^vI;={?V1_*#Q>aag$#E3W#K?Fn~S7}JTPK0w|wsy
z!o2RB?dF0k_+P6ixbG(iiE^O6sfj^q!1uR3e`KNfp4tINS6OIituejbj6vbalRs&C
zWTDifq$pcX2BwY=mE4vB_!-cHRi??p6!Q;a-mnxDJxWT<cLEq-maOjBFAIa)r(SBs
zNrL)~2g_ft0VD>!KGgGF2K3J{TUaPbz&oVO+mH;PPQ^Ag?JNW5Gknxvbcw;&TM?5n
zPxsER_10B=mIm+Y<*nr{5eTJf_Pn1B(Ej~XlRdvQ-1m+i77h}EbMLb~3m*W;I9#it
z@{)p^esV8JTmsPMn@02X>YlGfO6#jXm4yD_I}PMfKDZNks><{zKy2S*NxK0FC@is#
z8kppPB963aZ8d-~a5pPql>j<Iu*YdBZWwhjaoE_!z&wVj?ToQFT<|*m7fa`a>vqA1
z3X(7&z2}d#4;2I2>-tAFtvTR#KY4zf9|NrgrKf`@MZwg8qw|M0JCJ4=HapV{fqJYu
zzHv$zgd881+7_|GS1&|)Y>&HFN^U%$za|8wFV4D-9cBSjg}bHXI|krd(V7`8EeQWn
zYz(y=Vg|M^S%-d58^B?@siiyP{6K&Co2S4tCNLJZ>kbXo2a2U<Us|dNkaB$~e9@Q*
z>{U+8@y?Us=v;UI$wEGm((WX5$ua@Yoy&EJ$H_2jrRB(8&I^u=elE=xOkk(<X*Kzq
z9-Pd%86f<F2b4^|rDo?aK|Wiw$>$?_u>9wb>0Ln{I5jP&GD2boWR}t#*RH#lH|n^Q
zgSmk{yenpSo*B-)RY-8N)`d3zQ!}@xxFE5D^+I(w3w*{r^^!VtAm*}RluR%e{0{&C
z|Nj)1cRUr|AI9xHuf4hUzSgzf=PG4ol)Wh<Sy2*F$}EM-NF}6vqlAi7(oiZA$*d3+
zMTp8ue)sqPd40|~uXA3{^L{@ke3*|I;X!o51FwUwMp$L6@$(WFz_tZ*7YkNCaCc?D
z^cywAtf=2g>Hq<QgxNbKb$lo(-f|~1(hvtZ8(n_Y5HPcN@$lVneh9~Rsv6T7!lV1{
z3+^HUa3eTwiva-{g94V#MPzi>hq@RP6Y%=?!h3Z-0eCSf2|4SN@jEdoW2}~diO{1$
zht~vf&b~6*q2B-!Brci4VFL1PkFO;y2|{(PI+QuZ09OXq)8}aC+(a2yO=J?r@XMul
zJ?aK%=@`>E7cGFw!NS>bq6iizNw-AD^zqN3ZN_;}0IVLa_my^t;%)y_w9R>a@Tb=7
z{^lZx&`&bM^#x*Rj1Q9=_0`9zXiAFt7eQRAZ<8JSE)KQ<lhQyHeH5xX*O0S?u&Ml+
z=iGKlH0QU5hOFtq>ypforx1pBVz=o0YbhKaN!pP=pa)L#obPWrMKF7P{myM~8HgqO
z4xDY#!=Y9NuWjE&&=@o-F?vWAL3YLObZYf*f;HzN*9TGP*J`Doag#%&o%1bnwH_Q9
zDIssi#NZua*k)x&L|3s{(V+%CNS)F5F<%x(^2>)?mZjx!_mj__Z|!<WkZpPRKu!{-
zg*WV6xD?P8<DM8et%r-3(n^l{NFj8?UHihi0#b;An>wWQak0_={=O<{Y<IF%E}d6I
z7psynLx4UuSKQowicS`PeC(qB8&^U_0iWvY27OHJ@XzkJC5zO3JB^NXD?@jBfxAc8
z0OHYGhNuy8_~lh7=i8_P-`;uq)EooY9L^R_QXzu=5R24wt}0ry2$|f1WCRj-f4cpZ
z2zHa_@~$3gIA$f2x$OoS)f$s$KUB)Y<HqE7FAjBdxBWD~?rw;0BEDNs1t_4}WvwEv
zOdUcjrzrviBLpY#kBf*Xg88zxz=og(?q#_(4-Ok)dg7Qv>N7=Dx(4f{2Wfz#gxjg%
zrZG0X8a`DLri7*JxN?Rx4UByqF1>lu1k2}`Ecw=zFi>0NZ?Rtkn|{u-QTCcbW%zq;
z#$jcQI>a0$>S>@#h%8ERGXwp9Q?Ht5l%WxDc9{2pI`rQWE2WIgVYL0J^<}CG^0{X^
zh<xfe9Vea0M6kf-_Hfm*Bo!2$*~s?SQA7Ttr2zg>3*1T05iKfK!H^`2XN$ZlrZ&y`
z7L-t6`GBKItVjhq(W93+e<&l+<a?`{ERgl_eo#uh3Y;2v9P7?1LFUQcEjvR1t69;4
zIkE~oRwm~*$t&Vu1btR%DWG!fHB<DEGTgH&qlGHu(J1&5EH41-<C!ZR{>n&^EEKO0
zC&F)a+|*_qST$QMJK0H_J1!i_S15}UCTXpOKY+dm#rt}RO6W)xXxVQpjRWOUi+SGx
zPBp>}tq?_IdK^E0ZI1+k@5ja&4Fip{x+V!F3NUTncg3$u6fFwvpL$zp=gH{3b@iz{
zcI`GIT7(NjK%&aIzYs_y>Dg6%Awnrm%7D&F5RO)<Qth;RoxPsPWyVCr#kpaX%0L1%
zQVke2wSm*SgT9Ut<)HnV(DCXK9|(gw)@$PweC2*Acz3fblx+r$te^0}>rrK{ydMP-
z{;B`14N61EXKViR!(7k`+UsKW)&j%rZ^D_4rEul7y^C)H2MnJJL<UeT5dO|Z&i#f2
zB6oC`usgFOf+hRD_YHHX%{h%s8;Qez<YbS+b~fBB4sp3DVh-C9_1KM%qWElNuy?M8
z6&rog8O5n)I9}@{Lo5}6*o#=EH5XO{|7_hOHe-qtk(3sPL}5H-FZGY#%!<~k&~<tb
zQ(6v(x6sE4;V#*V91zP2_m!&o<!2_?xBc#zW0oL3N*LEy4zR+B9^a0UO)zrw!{fDP
z0o3YIa@C^PaOyz&6P{{gI84S?WU~t3udUWhFNqzTuAAQflr_dgy@jH43;{ekmOAkg
z9Ek0S-F4u+5n8T4>dIN<$1(aA&Q3K>I4%jl9ThV|`8=0(XdXWjPcT*O^x?u!KGU?|
z3x?3m8$H0Xg&$%no&(2gxv|xz{0&9k5KV9W3eF1f<FAf>h>0vOK0X~yzfw!ay<1rU
zTbKFJd2yohhzB2Z#ePV<u^_|OIR9qwA|Iw&G^7(q{LnC-%wFy_0EbW4VLK*%_=t}F
zv=k*^`d9pFP?Q07lCAGVsPV(Iaq-bMT8|Vg-}iRoF@PrTfm*j<e()tlt*eL$f)wvQ
zO1!O)!wb(|)!pXDsO7sohxLR&yz)1eNXxgE3#V31X>&VYoC@U%5Ju~z*W`NyedP3X
zhV<kTpqO`~JpYmiI`-x)cz5by%wg6bKtcf8Ljf$E3!*So=gY`ENz2<q*5Tjp34ks%
zA|ljF91)R*_ML8e$o1-aeI!Z{{}IG$=KCcu6dN1(N<|M!=0^SIWFdrI8oT){ObS^~
zs+;tf^kA@?F_=OS#xb`MEk-^Wupc}+*!fKtP0TvD#2^CGG1HfZA+l&uj@F1A)<r$1
zwq!V~D4KXq@2z)`!{br5{D1wrK=CYhfvgy0K8if)0}-)K#%oDqx^Nb;rTp9`4i>4a
zKblPC5z-UXJG-O{a!|lasay$sNjh+q#X<oBB>S3hX+7vMKd3%1A&I}At~IV&DZ-GW
z^b?D#9)dlu&am1_qiHo}ua&bBtR*BK^<B`z^65Hq%wrjR-gjP_&Q}?3k2)#`|LCFF
zcT#csvMfyGvX(Cft3bc6b#Q(st$$y{T?~zsL#i#?;CP5CekGqB?fk5d5QntJE2c#7
zJ6_fJ<gJD~%*{@34;p|w^TXLET=H<5Sh8cFs3Z2tsoPBQWE_`#(sgh|9$nYm+$A|Q
z@KfY$)b~*`=%|4a#99UPnk2s}Zqxw%P+QdAn}!e#@_kyDpokqu9oTBkHDP<JRi!`I
z2!79Y6+ARig1Mh;+x22iD0=_m$V)NC`M2WrCG$!+lqxdj|5y`gO#Vh&6HIWzRee67
zP#MYf%N~ghnowI)3K>W+#aji%r{XFq*lgJp&KahO^@Lq!JCn??5O)34WVs4PN7H+L
zjA~$a;KsJZM01pEFwm>hslwQ0PlJNE2AX;IS2)L5pg6uY;2}j7OVb|8qGIZ3OQsXy
za;M;7i`9EsKUGAZIN*HclPcy9zfR5&1ZH<tZK?27#pg3cyH*obF#RAe<Z291KA72a
zOh*-x<b5B_XO-|tNg??EIb8JeQXj`x6{MGx_OfnK#GX{U-^W*h&<2s9V+kq<$WYyP
z|D-%_Z}}tjLy?Nuw+vr(rj;SCSDMw^Er$+bqs?Oq72bua?gmt4<Tb_nlf`MgkTx6;
zX-$Q^q~o+tiW2JQ{Pt~`l*H5ROvF#1Lcw_T#_y|&cwF@NSk5ak?A;fqa8Qj3R`!Ff
zXImAZu5z<*;kz)VS=cUpWTE0o3iHr-r##33A0`5w1@WO~&+^y+FtK4e7tu>Zy8IWa
zEF%F9uGHwjOSGPn)w-EHAcqT@Rz5lme3(05BSP{AvJLe;RzJwXTYRpz`8*eNdMH-^
zM1ftFz7=&{GMKX1lXLtzI}ECC&Qx5Wz<0g<J@29v4sIA<|Chvy={0MeRXPf8aVEvg
zs7oTUATr9No*6r3LS-!jEih;OX0P-iah%L3e7DVu2~QH~j=8s*W5=#E<a`rFabdXi
zayTQLeqZW)AZd<Y^q(@QaU!t)M_RQQU_jW^NcNRPGt{dPh{q*_p&PN=e&`GXKAC!(
zG7Os{H>RV7XF?EXk}?<$7BaxkD)@GesVP|EzJ~sMDS$_{6&=6&7~nn2$liO&1bdpU
zeVBSfKu2g+qqi+1uB_(oqOzLcv<9Wg^A|1W`Il0cW*A}ZyFXYh));#g9oQqu{K#FZ
zd2e}_3C-^2++AZv5E0ogt5CoPH?raNfhuM&eo6}V-(iIL?WVE2dHL|!{Lp2OyDT_A
zM_^@tWk};K>oexoypUM>yxU`v6%-e0<NRhrn6>SB<6Oyu&2=qm&|}ApO4VkQHZm$r
zbFTd)@gPd^=tc5*4(xfS@|E41#)rQ8c1kncSdLJ)WRu~7Rq#WZjBW#@cel=}z2im?
zgM|ivD>tI1R$_*H4ZtRU;_1FgZkQXk#;GLp!toPluim^q*m@&KcNKWRd{DCJc?}<)
znO!7yX6oZ=PjmnDaUOIRD!YVV<Hy}}Li#5KeN-H^ylNxH3+xQMKhs3Om+e>j9?-Zt
zeDX5I;SDdgW>-eI(tN^IfLp#HMh~+b7NOp5d<gw1KGni0gnsp3mPA=Soc0R4`*4sC
zM;V!ltak{b>;AXoWLiEC8tV#wkKzYcx7D<8od^o2@@#Qd7jL{5wRpt{uuhVfw~!aZ
zI{{gx4NqN^`^1~=qxsh>i6p&yH^jm16z%1wqKoGi?mwcc1+eip*xAoX61P{QABocG
zLVEhJmfvYXEbhH}@(HIj1Y!@_(~axkxbpk*id-RZX_YQ&j>*8-N8ECwO9vS<D;Wh9
z!pO-b?RfZA7MuB)`$b>qVBE#~-JuQ<<a=qiANeMS7O~l1VYKy;fqmx3IK(jE$8f!V
ziHM!9ce;raI{3#DF;(g>j^JN@VJ3VEV3E1edXkmaNAU&4*{>w<kXz_XnvNn8=<bYf
znCYT-yF9hZRtjg#ZO;dJDq)k6z+zvTE>3reGtQ4l<6wCc^KzOpmgE1+38nRyg|YU5
zX-ipX$y<$A)T!W^Q?lKXlO8UVSr!&a%fVS@|GTLHRqS_G)hea=m*o0wFE)B2#9!+4
zhySMWcKg_j&VGIL+`c8_KShMlq}8<v1`T{G8w*lWGk|<|chJ_i@{r!|n{Tk9fyKNl
z-Qj->U~o@!VD`QOc)nyA<aBEyC}-&M<{>h+=Zjrns8B>$Hc7tdh!$k)yiTe07~<1L
z*o9k1l#o*LnQM$r8+!*1PG5d+gpl%MqHQ~rL3Cr@WNxF41XJ@Io!`btYvboA6IMY^
zcKmOj?b;aPep7EHW{Lw3zqzHhso>Aau$KYC+DP?J9CNZX14)xucF98(hYn7TC*^D5
z52bi<a<@4$j>^pM?ox&P;B@biCz?pF9i=j7Ti`;^?~dnkYJg1CF54OnJXG;{6I4tA
z^3u{>9o2AqtE=&}lRCcNJ#j3~8W?@=pIq&thVpFJ&Vu`@Sg=DeS0nKLv~T%gk{Xyt
zL(2^RC_`q4$I?~;6+;&*tb4~*Q8jffr;A$&P9Byo6uqgK<z6EGj8H|F>*eO-wEsX~
z+aRBiONEl_df(0-6+9XZDjDP=;z^lq(M&BBpGw}Bb_=NB`6=0)y?nBW)sFp-{vH*E
zJN2X=8!1DI=bo9gqa*_OZ*ff5Q*rrwqgSAn63nh9o~^zs3f{PwGrNna*m^v7+=!xx
zo65xhRwIPKR{KisVl)-H52y`a)D`egaHZ!+JOLrc7PI?}skmoU??1vP50<F!GUIo6
zvAMi7GHM0bl6TCNvM7i79gEj14LL!YFx086qxDNdGU3XAEWD&jB2%JRq0)XoG9wUJ
z))L&UoF;?lyBA7hoSCrhuG9FLo90;#b;W&qq@Z=#*M7X09#U2QbEl&ynEZDP?KEF1
zpCemHcWqEc&bPV$YOz3~Pmh^)mKbD1pP!5S^OsU%IX1b(X@Ll}9)Gbm5vaP_v>MT`
zQAm%18x6e7(PAl5dR$Hz^F=GWb-Gt5N0|OqeZFRfg1~2LSIPx3d9*<xaO(<%r8)J<
z^qMI$=hkXpZx+DF9m~aw+g2#HO^)#kPNpzkV9k8PK>%CSSo2Wl3MJ8Hg%Ews1e2b&
zCI1%q(4oYqXV9=p;oQm0cZ=Bs2{K7zHOst+Jf(GY=EoX^!(N8?JJ=ZY8v{y;c073g
z)Zw^#+&ZNz)_#lUD<hokh_opf=0c>Zg+q_w2F35&Aj^`j5egX<_t95!Vk+4;Mx=xe
z{=bv9j$AUtWRYopXe9?Y|I5-1tfxoapHpAN`3+(6sbXYcke$XaguvBN2GnGojBUyw
zgTdz;L$(Dw^8b5O_d|gR5Gb>1r6c2v@9UkDZ`t79fAsFgVP@FMKN7}a19)5rI9PUu
z4LlK7FBbe{!TlL`dpiaL=!plus!n0UA78ib(nK~K$-FPIl&z1}b93r;r`hnZp{piU
zk^@^Uo)-8E>!W5X?<<klY#{uZxW+NW3A+&Dt*R<L(Dl`Xt!T32N1kx2Zv!`mD{n@x
zn(Lu(gvU_*Hai@qn*6_2^Wq100$t9KE@Jeg5{>;iU=SDLaATYge=x3jK2aC#@!4h@
zTAUbs&G_D$fdEG({-IboU4&RW%3PM`!pUFH4LS@2P;sKSeh)35!{(Wt&X{w9+!0an
zEJYAsLZf77Q+4oQp{U@<As$3j2JCw?B7_JziCz25bP(<2;NbC@7Y}ESTOM*3LDs~x
ziJX5V6t_RgFKy<-@wY^Nx9_6ZX1;#y!wV92akcTb7Vx8-UEuYzVsRXmKmAYc0tu=j
z;UBCr2?#pv709(q5=@cFtcC|kcz1C`@%JeKa67nNRM{qt+>|5-!9WsD<vG^n-4MjE
zyCbK+nk>eG`<CCjknk;`BDHry2m&shMTzEe2-@7XyVjM2Ze=aaow_1eOiHz=_9sH?
z*3u8AU=lW|vN%0DCkp=j$%8g|^2j~>e%39Ggsq;{U3%i;xD_R}U8hR{3N!Vro9~dI
z-SRT#?kx%YIQ^AWBBF%Y7b{xnD<qIe#DcM4DYRAk^seq!#_MPUx{2*N*w^y(N0YV;
zP8hzr{^c=^i{BaxDnHf1H4T^N-I=nOW!}E@Ra^~ox&rpB_PTf|sFi*$RSxGp4)=#d
ztAo&Uh>K%R7i)aga+$}7Sgt-{bM~$ViYJEe1>Mkti0BqpzZ3Fk3St!UpVh?7yUj7r
zX?(&T{Ho5XPyt&_cQR$MYD3`!>$q`>0cwn_A3i8kgm!yj`kNJPJoqgBcQ}^}=I3;~
z&R$hQ8O<OReQEcPQp>HrXNZHwR)K#il%eIek72%)gn@vsr+n6oFyS$CBOy-(>IFU2
zzYj<_;^J>>xXlD{F`JH1cdO!oi}}eb4J5oe>#fOIZHnzWzc|d5)sWIJnZGlc1pYJi
zruH1>*kwOux2sJJmm)~d%|uCfeyL-6N3aF9jZ-i1o2tX7sQsD~mo`E=%>Q-PQ?UNo
z<(W?gt#7JdbDYo9#PY+^DY-a+Pwe=M{T1q1+ZWzXe6Egp(R&}i{snfh$NXE&Q3v;r
z2cEsns!$Y8KIa)r#YMUaXI?9Hl#L0ceoInDi>74m(QYdKlzBzp?@&Xk{U57m(u!EA
zsW^X3$P&eqGAGOA)lk<zxhd@q5mG@^jyhPvJ}umA!ATW|2YX_Qw#$O|px%eH?UvAG
zI=xrbQw0x4L&Dg(CE?a17L;ah31OG}=c+B0v3~9id9g(VXqM{yOR|K9-(+l%pc1ka
zRYcP}1z?+SxBn@FC8&;Pv8zu3j*|Abwr$}<9P5jopKVkS$XE4G=g8y8>EsvTyEvdb
zl;l~NNX55D&!pXG-u`}%Y~DR0GyZF;5$IB)VoItyIP#Ayy4?C3Gau2Rhhr^Ys1vxc
zw?ZaAR0gJNCZ%istCT5Tvz{jr0Gr8S`ITi!R6nurE^7Hj+0!@0)yx4HSH7r8uM)?!
zg{p~r%sj<AO#1Ai0|lI?*oW8>L}AC5!^&IooziZ#(BqwDfy2M;nuj8VQ9|uiKC%5P
zMSy92a_3WXbh_%zFq{wsV~_2`u6q-dn5|z~w$hv9rBkf_{%!(t!@@6fW{*>}tY61{
zpmEE`=6<4y1wU*w@8=<9oYKfW{IxdA6z4h$c3M~QLgWBrK%Bqx&`?s)1ciy&HI}c}
z1h0A<ZGKC0gI_mKwv*)xMT@28z8cX4Vb=a9F~)(B;1A_~n<pvVOMK0o@x~a<EDPQ}
z$p&$D;orS$-zax`Z~NcuGJ=FF<Dmc&D<X8*ZYK%;pbXEQf5xI=gm=H3YkoH}gKPOz
zYn%BzB`decbp50uJg(h2`8S>kr+Df6s`wWu4|3uLlYWsQT{bGRJAx6h=^ka9=zme@
ze%XE8<4*=9a)}yD^R$dI=h1iUe<&B6C9Lmu8DJ?(Xf|Mq9#5lonro{qQ#J>e4LDdD
zVAE-3E~zkjOuW+)PYGJ3=wRcP>^*%L5y;;fc<Hev%ZZ=&_Fu|vfz)v#SsyX%8HvRo
z=%B)~y<AalgW|q)rp%#H50@v%9u=K*;A#%a-P2EpTcf-0m7CB!B~opJafA*lXHpms
zXfmLKZfRQjsV*Xd=m#BW^Iu$u`1q}e5&wPEcJFf3#gRL5yJP(6!R`8@mm<oH{Ju$%
zhhsXZa8hEbdrc3?kA|@Z^(@$6rTk@x*TLqyW$M>G89)wfzxp(o4dX)-q0PKH;Ede&
z!JUy2WvZ=tlExg+=5`EYsU^X|ZnAIb6(gdy3i4gk;zERK0G*gK33oJ{XJqP`z}sJ%
z!(z(=k@J4L+!wU*MzUaM9qnDXTT---ZskMY)s_of+qA(bS4rvpz=C%srJ~(O_%V~u
zDo1xq3+}eryH^z0aP)JZHC-<OpmUUEQq+R3r)K;>9y=0CTSCYXL`Ia2xL~Cw#{amy
z2qbbMdhLF4*()JDzFckOt)mIm{TX%b@3|0U=N2BdPXuEYHW8*>8gN*>O^9sef%74y
z-_IywFwXsK<(jO49~8Fr`A|L(qBD*)Xh~qZ=k=I8a}5wKc-)-M<i`nfJ3rn{QrOm}
zTB0DR0k;b&5^RrY9>-&-x+g^jGwoj^Dro+paGgAMRZtL@+<bC=&dZ|u#&zz$oEo?j
z75z~>O$hc6wyCU=iD)s-wan4efX<OK`Ne!9s13L>BbzS|$?8;2i9;GNYc~BZdtVgG
zS!$D4|0&>Wg!S6T84a*M{&y=RO&nzXjRS-fC0ri~=Z?+Pg#E11*o_EDoGoJr`p2b$
z!?sJjoz7aYNwsCDjFZNY=_9_0Dpl05rEp6+YlGUzIwoo_i=n|=b{}li5s@hR($R{9
z#Y4gE#0WXC?f)GZP1{er(3W(Qp7wth>(cFui8x&I+QK7K3(2E|man5a;AYb3GVYQ`
z`)G@|9vca!-wpb!Kj|VPgFmW?LlKWRILQxMNbqZPc{#$W4~4W}56W$nkn!jU!O>R-
zuNfHMm~S^g`S0>qz3Iw0QTfctf;P8WQ@LsVAsGcH7kU+%RdB&XJU+=(_y2q-yWiFb
za~wK?i62z)3;}C`;ku~$&UdAE))<S9l<I{^HP|{BGz{<5MU<`=`@hSkxU97Eq)x9o
zlBBl@OUvtmIg4Ca?r)BD!y@(P1sZUo@;*3NsRJQix_zgFDBx2~@VKe0iKIWd?^7p9
zP+B<mN81NbV&wCfP1VG%?0(Pq5p8gLoGUbtqQWlgzN7dhO}Kww%8g0W1cS=bN@P0~
z5zHlD$C5O`nf`av*>`I2%$0b)$JG*omvhDfL^SdE{4?I{NoDk<xa=@}Y6+><m-igw
zG!PuZ%k*(j0ar~j?C$Vv!r77QrW0q>affoc;&huF)^F7DoHN{n!6}1=)Wd2RyY%qm
zv1}<EalcX+LD_^Y=0&eJTd1NtJ^h9As0gy_%c9j)H{r2%vPs~OGC0<sKJC6v0B_gm
zNdK}WB=?#*W_l^1>nFc3Gl2_McPL?h8!RzAI4JDcp#ZDO`ux8ejJTAbebLIt5~i`z
z>Mi>6Fk8%eLv&uHDF0+MlU||X>q>v)WT_k&za@AHvdmH@)gGORKS@PLz)yn~ng=$_
zaph!PAE2;!TF#bBQbGLm)BK%`6wY41#?8IZ&`QXtEwsM|q^dWK-=vCTaqOb-Db3;5
zhu%kIju`+x=N#oyPKscQwk&0%?{h2n)+aBr(kU?T-8P@iDukFX{I9IVzqgKhWX9=K
zT0p#uF~qWgfG5=8p$d;5tyylv?k+FPVRAGzF8dT8v|mP^f4ef<`Z>>TYvTf~*Sak1
z7>u~lE~zo3;W^hz{TjA$OWq8kbC(;gHn0Pm7&Oz{W?M~e6qACyP2o0rPH7^G1*Hcb
ztPLmsXk`y7j=Flz1V8=D7K-jLLYz7O@4lw#R*~;!FKtGQVPooZ`JXO5bVsWW=wABP
zO4$2Zm_^kX%b7(R-+r%C^rjtdPP<OF+C1lA%ROiWPIo)vUY=D-yVK&w7r#HZzI<EE
zQvAjcGb^S>s+a#z3TJQHq@Esc{T~1T0RR6Kn0GYS{};#Yz4sm;>tkemd_FesE6FOO
z$ZBXIl9p2136-x1Wi(J$p`<9v=h}NEGbys7q@rv;zkgrnb<XRad(M44?(<b{FH+v4
zVF)Zg4l#4){2@#;XGhMOe4(ctJG#bs(*QUexcZU=e-W|4(z3UHex%pD$-FW1lLqCN
zf2ok4{2=mD*n8K~d+1_GWy;$<Y0wMt0ZZ-Qhzyr3&87HGI{8?G)mkkT7LR>fa=SK0
z+-G58`V`kjZzS$stuvy6NPO+C=;E)0-$TCz_AB*t^@Fx7R}1vvtoQ`mUAH0Pbmjr4
zsXrC;yG=jpc*y$jEnKjW{mCFv%I-iKEH9x;xp7HbWm3TJ?EHl)mybl?xrE%=@f`Y|
zd>KA=RSG;#yQl5)UoRoi7~~r|d4V3Nc#z5Li5|$<==?CZ?<N*)%2zuI9ulqOD!V#8
zJ-GJ%xW|Ri55(>HqqG5oLPGl?t@qYjU3jzOOp_5;C$XC)m|cLslvtAc#&W@47aEjv
z1LOX55Qg=N&$rrE5V@U-g@226V2b9w7^=}haC%5+)dkiN-TcKZBZJydv{_pEVpcn0
zr5Asz<zfTDXd<-lK94pmg`PZ@<I_$Qdl`?g-)<qwrWh3#hz(#ryI;<3dpj}wGd^vh
zr=2(&Ic57kR12J#k2ejUX(u-8lLycIc~6A4YbCLiXhQMD)_3e3?Zo*oilzani#QNC
zN()-lfU|tLJ1lo}5G(ZxX43&Z#J5%c!pV&qaEJV~Vv+ql@k<_;FMa4E1a(aqcEzeg
z$ozlq!K3eqJ1^dzTRS*FTosRv${Z#`u&H3|z3EP(U_?K<LiICoYx@?>Y-2K%&da+R
zDt8etxxdYs^A8bV``2@Gq8d~?k6(Qp*-cctO|s@a877Rvbt#ADR3Y`u!Rxb9y#%x;
zykrX)A!rk{jDMc0aO~!4*U*<f;>5Ip>#EBbQJiu8?#D_MI4KgP`+ndfG2$ranB_M?
z+&1bkX4F-I^Lw+fUucjxrC(kW{(O>fmfS&gPgjQca0cJ6R$mCO;Vh{~lpn;QDhI(f
zF=g<MtB8$F8zNjiF2twJ{v?F9l|0!Ms|0C_8q#T`uSB<!ddcvGUqp5ByH`uRO3+!8
zeep@l2r=WFqtB!HhuD>5bR_E*30Nt=9m+Gu2%*R0{U*$FM1)u4As<l^w4FTb8}Mv`
z_-X!^(Us>PVf=P$D&?Ufv@JBfZ}>S$xQDToR5&aU)<x&yHf&IY=$<a7xWhk)vZ|pi
zm+O{@ZgKI|0J;KbpCj+(6PqFa78TD>B320}yNX2q9SX4J<L><xDZdCV-!$38ItFlR
zeEm9QSRU%~4$QjP{vqDH(`z9@m|%n8)2U{XJZ!I$VN_6>Bbeu=)Z?64VAT7I?%p6d
z7!a2(VAcIc>{NNWGh{a#@IRS~pj63%0x76s-^m3+Pt)w5+hY!3@#n2~Q;~%i*_BD;
zze_}8MW8x~%nglE%M{f_83=Xm3mPk1B@XSCzvni?3#P=AELRa3xW->o9WcfKZW?13
zRxb;H;qM5s#mCYRSCb!jJc$X0b3dH)rU^mJ{O6W@J84Me`FL$_C<_dqTh4YD69NA%
z1FC7P(vXs_Ec53E8wAU3I&7yd26rk5pV9#-;QI3~#iok`h#jhdWyd8T_ii<<x>E|m
zEpK^z-N_Ap=#u8~PYSZLY4lq&QZPqa4$4vEgO66<cea$tg2lk!_nIcs;48Q7*T{VV
zXuTR-wq>6J^#01uka;5w**4-;{Z2v<d~j;tI2Q?Q9xd-rJ}m?7@jemrTI=;u)E2$^
zlz=g2>!Ie$vJg<>#C^g@3=VQU-;&#^0%D)12L#6Cpk%&n#34iiT>erIex6i=vz1GH
z@m>lrrQO~kJ0=C%>XB+swKPDo`K5yDWksM(yXyBu%L4a6e@s`b7Kn04Jx={a0_8nZ
zCv<2Ez?x8WG)+(kK5S4=`&^<7hfjOy3D6Z`EAZ`S?bL;%zG?-DUsPe_f^lB?J|&p8
zyxMw2fdbxG<a9bz9a_694dP{0AX-?)&)r`i%0?J&yWU)X2esRDr&QsD!l#e@52zr`
zaVN<|P#3OW@42B`Lx#JviL}^PG}yLw{6T{v1;VeIOs8gO0BhQp)SamYkn#4-BkxmG
z2ywe8CcVz5Y2Jut6LUjw6IoL%<un9Fw=_zep*Dp2vw6fsuKR}j!@l-*WB8qa!!fO0
z2hv;LKT`5Hgx*oo?ED)uP)NU0lb56m!^*c<=<Nm&Ynauslt+L@MepmEN_ucUvUPdr
z4GlW=+&jfKTY}f@E!7W~^x)@4u@s656}Ff$h6SZ=1XHCCi!(WTkZ8zS_+E|zY8`AD
zhia`rL*Bw<^Ibj2Y-%7Wp4EW>*8@ewn@wQ-u(XWZUJslU#C$@`G~ly|jJ#8THB`yn
zudJ@rg)dh(Fm^R4!>*<Urd?guu)Ajbk0P5cFl@$WKCN<KuSd8HELlTJ04;jnKpW0Q
zHl15a7lB~<nRe3=Yv3K7N#&N%f(JuKW-oNHf#%o3wlhiAaIfO2?yD+wP);wJF_)Mk
z%D$cV@>8~k3{qQ}p`#ikwcW^gIygz!zn?k6lCTMCe(;?PXjBFU^8Ete97bIG0^clu
zTLDv|)oh6^36=#ZMh3=Q_~yC%RWn;FAjiC|R?C-%=oE=4P7eVT8oU%Ve{Un)oRBif
zTb6=f4P09G&xDY$sPYY-vjpa2-l-TP2IXnXM^+p}P>-F}wa3*G;zzsVzaAEXQ&|-b
zu5P0EY<$gY?JdAeGV#U6h!=K;f0DPD7RA3xDV_z|0BT#9mRC*LpmjRKJBKQUZ!Wwn
z`@Wrk;Q^L|-PLQvPd4@b<CbFh>1;{o&z%<Vc;sazi~TGi?W1v|g)D}nZ~qODPn(1K
zkG`KzzI`Qryw|=_zbJ|<Z%t7t-3*@dkDt>R%p`W}I{luj5=B2H!H5HWrf@H@jOKJ{
zkbZ=g@Rub<6dxC8*@nxRLRF+8O-yN;u2xz4&dEm<(?TRDmcb^VyX5?@p?r=WrSLt>
zZG9TDa(`A`Ycz&2z15A^af#0Ulq9A|5ycN2y;lQtjG@+XsL1p#1Ad6^h`VnjiWyf|
zeW~}2AWw`m70S<yymwX4^so2l^24NX7hxlap7^)%$aYqAF`0_ocvBR+oAagJ;tb)Y
z+V5|5huQIHP;Pr|pD5;Kyo&uJW(XZp5srZeIPt$tGaDH;is6F#h04`O22lKwr#EaP
zH@dzK)U>M>!&t%Yv3*7c;9TD7y`PU4N6}}Y%|{&TKD=j8{y+m4*P@z%Rz55SE$7GL
z5;(VH^3(e?4d&0a46bbwKn|HT9r}a>X4t-GH73#E2WJmCizJ9}>q{%!2T8mXr7gSi
zfeNna#y|U+gwWu=c${OO6n0;=XIQyKg&Ru3cHQGbC>xg@w0&M0qYUe%)3#H=&V=jA
z?M`9TAY^7<>dIpF$3iC`1u6vWI91$QCxR&bV0QAd94haBj}3qIL0O86PoP#58Jw22
zji%(0Gk@vw*&cn!dPY8!-X?}JR`xZ`uM{x8?Ao|ul|Fp88}^DD6-W7TCiA{aikS3e
z#pz<HKI~QYbuQqL#76!S%11X6j#y_Z`;_a$@Jp8VOU6<dLx|RA>nkC3M^@9lHht*z
zbg#1tmBvYOBYUNUGOp%-Hy8P-4=31){`6PN;AK;nuUnW^a3!4iN2V+le!qKlvrbM9
zAKZ-eUzt(C2ao8F)pt_CSMS6r>1*=nFI}{O@3ShF&T_~cd`g8W50*Mwm;&;<KD41V
zs^KB$!KGDh8uTAM@WIDO5!u&<Pd_Li<5VHdHuwS!vJSZx*Uc;9O={4csYrFqmf?5)
z!DImYGA+|ON=f+GOC{9YMFWrgAm8&&Hh}!XD;HzWDWPF#Sf&lDCXV-Hms2ba;gdQ^
z15K6jckb}w(FdBiA=u#H;RQp8G)g?&FsF<Kwh!}|#I^9cFVEehXarAOOI8}PRdC0b
zE;ipoTG-6`IGjDf7#hnqn`Jnv;z78R92~2K_8YHdY&&KGKGlEiILB2{BSLlW%SbKs
zXs~T>b2Ww1WW(g_AT_Mq%qjcTK?`T^aF6+$m_dJ`pu6E`HDoUJYmxk@iMsL2B5|_j
z;P^S!Dc6XM6-OE0Y@lhP!NEA8qYLH`<EAXV<un=N8NSSa^wvPnqmmku4Hlqz(C69j
zBr-<+`htDi)NxZepKD_z0T<{TOyc**SbSw7xm=!%!}X~HcO(E@>kRkLT_odWTOXpX
zK^604PhV*A0npj&pL2f`8TrN*B|<z^(4ED-Ln;+uv^14GKdFY#J|wvd_bTDq>A{Ps
zwE!IFN9*66R6|C}(gkfN654S^kS2!#9!{2(?H^G^lA~)2PrU*@Za14znE~k56dhVN
zQ^jV(La%^3a#(dyL2_goplFb{Ncf5hJ{7V0CWq1(o3S=7{RQB&x2nOV5@j@>-C1rc
zDT(too+tQf01{URkC_iCp^K~M;>r^-^az}7(Rv6Ff8RF2l358I@*c=}g^6H`W3u~N
zFaY^?yRNq)3GI6_!V3QrLaBu_S^~xZUK+}}qJ$!r<H-2LumC=rweBwZM}U54kw(TI
z1-$%zBE04gA96L`iaB+HfbXdpTOV-C<G#=Tu8%+DK^<9+D}&<}Fg^N}SoD*{FrA<e
zxs_Zfx-qm%$lU_UtJ_{fuQV3pSd-{>PAna1>YJ=IhtMN8TB7zyVYH9y)$=wS=pU2R
z@=MDcl%M)ct1?L9`MG`3+;`ZqQna8b=#CkPY#;K#GI6vDs*2U4u_M#W=YBs1Gice{
zPuUwUhUInteCMUv@r#rnb8(<4gvV`s5g#dv><?2bXdBt_eU;^I<~|eX+ma@HI!Oed
zyzy7gOJm0f!`N@Vwk9CEFmSr7Mi>u&+FvfI$ANa@O{0&?jG;>7Jf9K2Fs9Zn?J=3=
zz|_D0>?-t(f$sQDXW@hp&Te7Q!cI=4N-~(7d1?fbuYZ}i{t?84Yh#PngIxGP%O!zV
z-3YvvyYx;(3!=-&yJ~Z89?WQuef9c@A<S+XC7rbp#Dk@m-w$~3BF=tDDAY9s>uI}d
zu^fVUK(Or}TP+{@xZL#8E?dvtan>&;z6qehxrbdc>H_$a=XRX0y#X9bse4*8B!H%I
zGUa8f0(gs8iZ5}H1|-IeJr{op;9+}xeyI^b)bhNLzOc@D8|%pUYeIq;Rm6NPtxpL3
zjLY)-#b_|=mYlZNUJ%Wf3@kr=7RCd2+Os0csF1Pklw8RjLCma{c0c=11et%SM!We^
z;i_4GqSZe^%w2n}N>vm?|M;0bPsFJ({yfC~Q=kx<(36R_UE+A%)bYXWI#<K9t4YUZ
zg^+`<Ae6U20>5XTFD$&J4{jbsPuF6F@vExHP`Z#5cDZlzKH{zq$E$v7C0mN%(D7}m
zO3~6tr+2f~tLeiXbEQ%bHc{Nc;>)otC5tY{c8>=!>cb`@XO-QbMbRoG^`s|V4uAW<
z=vN%2!26#?&uW{+Q0~OopBrWh*p{AB^SYA)wTjnW9=D2PJD1C7yOJWR4z7AgwNjwi
z`s<NDBNEtJ7Poa)goMvWo4yfU6nH`Z)e*xlg<I@DhDh=&VbF_wA<85Lw#CRcDLP6c
ziFHRElb|wkE^;6XpFXe%4f#o=$)L|_nb(?x3Rd~OHR-U_hnGt6&Hu5;;aX6>ZlAI$
zvMw=|=SS$nnQviZMrY-*C7y#+t*3?tHK$cFKIy}R%+23VFDl?EGff^RGcsm?fm5;#
z6%ry+Q(9~l5uL7sC#d6zP?6t`HB{h!eDx-WI0+B?->Bg;*1-EetS5}!X(0JH{mJzS
z5_W~`37l5Y#OB0NmlG>AC|)awmML5J-$T2lfnS;kq+91wOANr(D)Nz9v@)JKA5>_Y
zsfCSmJsRcVhLAr{z?bi#g4?fLirYiofXV??sYd&afazO#n2W3`ie;^|dnRqb#Tyqx
z9y=R@e227eK)34p{S$#bjT`XHGQU%koe9Xro92mJQp4oJ5YDZ&8*p0wO>>sLDKsXu
zbZi$R<K8Io+0cj$7#>nQbkxxdq^Qw*jT6b}_EqIz7sm#Sy?j2s*2x^o7n19Q7RXrk
zpX<ot7A^dJ(VuV7)&eSclsZx@)bZ$9iNFz8O?=&c;7POox)*q&{%Gu1$Ee)6GaM=!
zD2xrQhgkutr2e*#A5h1(q2(hM)nvSM%HqSJ0{}dW+dW1$s^h%b%yN*a8WxoEynX%>
zfZbB>tl<h7Q>q_(@Fl9?*`oVL(r4GX8lPFrxLzk)R*Kb?0VV9zd49uO$rAR*M%>=Z
zL&osEn~(07CE?ba`4u`~2`e64tM0yP_)f6tYsWqXbd>(2P~%_;>LZ6EA7-gyv`6*x
zmqD^v$hUi?Z#~ykEc8a6?NGsIb@DHnH%Vd3-@dwc6ie8*tS5VZN*OnlPJ1r9i6d_r
z*RY_VB}}ZaKXYGD!aw2<^bPYx@K0}Ga`smM-|fvjS!*PmirCqn=p=-%JksiY@&Iyl
zcFNW=kq{bBe7{EsAh%RhqG%96!t34rC2WdlU;k%rdVvQu#})5fQUl2F_^8CruYk2P
z)a%k*TsZnDLwkSex<~#+F<da0!_vdXREunO9He<p@W>Ouq1@%&cvJ?N5A5^FsAa{g
z309w7E?NL%^(CH#GAV59jAQoN$$}4G)!tY5WDbc<#`2ORNwlzQOW@kcj0M#UGh8O-
zkf4y@=$R>w39mBRZoXl{iLI%OE_cl!^_0>pl8qRugl)I?KE#A8#m94g%$Y)YT+cNc
z$ND~Pn;tmn!-VM;mohSTm;z(f>3=m7!YDm?-lydb6KW;vE;E;!K-vDQd`S~Rc%OW=
zs)LCclgDzjuPB(n*!GG&lI%iQ>-$xT`2jNq#W6G-zhMkKncFNwtpsr~z~W@aJ{EM`
zSe_|9Zv@{OlGR?{6Tp_&l1D_hu;T8mk&TZJ8NtQ`ONA;y0qn@N=4;=<hQpiX<gGs&
zLfDV9tiLw$W6d4oAEuYsvA6Joww$LSSe*CZKAy;jls`?84{AA3D>O)XdyfH#KJWhi
zMS>6Sd;9-cBXc3og?bvhmjS#SugWuN;>B)f%~GLkZoCsEaBt5L4T3v8H|0O!#l0u)
z+Q?e+;)`*|&DVlx@JNM|J?#}QYM+{88~w+JIV30VtW_$c&IP-?ndHUvOR+IqeFgA*
zRP>{N2~_xD`|{h6Eg!yZR<}6lBZ$=FTfV>2r9yd3^TEw+e7HLG{gl$W2bjBMkEy-a
z2Qsfk-;VSA7}mShHYQRS2Ywm2-9MubZ?1Bj+qdqs@$G#{^kNY#BNtLa);Yhg+w1^l
z3t&aPyzjt*D7N`&R!R*}K+0ZVw$E4)UpvU^b8i#J%4hM(oJkZg$&GpP>9ZiVQa!1M
zPy#cBeV1FkDKKgBp^-mD2w!mIyj!uBLUj-A7u;kDwA?qiQsXa-7YWP2r(dPfN?N8P
zWJM1)3E3>{-XeloCEB5KDYEEY9KE-HKo34!*vNskDEbENDJ(f8k1?0!U&__#L4-uZ
zblr9_49=pxGtO1OO7kw7<vTstS+H%*I#e7Rzv&r_<tn1<Xy!RjTt6rLmw&vFz*{8O
zhg*tCSeEyja<@YdxZk)A*E36DsJ`64<1OnvRv$b@{MLgZ3FV?k0n#XJGG{sRLm9sq
zxiaS{QGlGs8nrYggOe|Qm?n#=B4efaPaQuBe2@FXFn(GN#hyoP{$i<y_5DAxsO1!J
z+&z@N%Bz5dOzr%egUR^gd4v+PhCZ0yNH4iRvCf_2M@W~G)v@%PxO??eeHhHmu{znP
zh#cKrUi-^5FmPxk=D;Q@#Br!ayelN3&}DhSu2xN4n5w0R%u?Y<oWCF3Q^M&ki;IKJ
zS{QJRdmHat8u*FaKDIeh8ISa}xm4$GK=U?{p$91ja8POZ^xa?;JQem%-t3Sze!sEz
zSa*yeNF`jD3v*FLJ^P*hZ~tl|pX2POkUK`OdH652o~(xS6g}T>TXpdJds%;z0%ORu
z_7eF$qqe?JSb56$>0lu}MYFxb1Vr}QBvUfUXfxK!y=tn1ZxYl!`<6`MjKJinqIF-&
z^nH4-R<Dg=BdEluY7QaK=d|j|)o~$4-QW$UHXe7}wRYOh0va^FW|O5gaN(;GrG;?=
z{{34@soPD!ZC2YD^KBZK7m+Aa`cf0Gis(Mvtpku>`jXpiuLg#<q-JnyXyA$HDQ=f^
z0FSv&mx0Y180GL*ROc`mC#Ithc{5pp#NhMuSC}*~i(QDZJ5m*`7WUkBaJB@s6VpmI
ziR!p{z|>CurZV!FIs2Diw}gnj4K~LZ)zRpq)c3S-657W4m}?hULdk9Gv%&UcbZ#kf
zICez=Cqe|uzrVADH)^h>kJodG!0*+KsU%s<U1<*FDzyX^ACpgN*HrQ1!_l&d(~|hs
z$9#wGV@sI%Sm%H4vI_E2&oo>V6~ipy-KNJcSV9lq{u+m1Wz-BF=4E3SMhTk@JLT6s
z<;?%CK-pCZ<=g#|EVc{at3|rUT^>t#Te75TO(S7{j<%=F0yk<;43(;`=a(uks`D}N
z^?C4|bqZqUz^+@n7QUYXSehtFdA1^t*FOYtxxHh-${rSpW~KFh(yeP*2W4?W-G5iP
z6cbKfqUBel5YV0LVVc_|ja@_h`4YSg$aip`AM>QeI<L4ci+__u`y)1NMw}~jmhETL
zuNhi^%O3~F2htK46XMpBFuX|T;xVgQ2sel09DLPhgT?To4HJ1!<O2QhT~2t~X$E@&
zV|J{JieQuQ=~s>Y^Ys7Tju^!$n?du)<z3G%3Zwfs{ueEk^K|y<a)&*krt3K|j6Kv$
z2*2EyIUGt}pfhx8W+t?mfL)olJY8B4wS^o-h2|INg;IRuQ5q&7R(UfgT1Ei<{w9}j
zD=yJ@SN&`~b=?^DQzBCA!uU|^#<F`);xc`q@mhKKcOy6+**QWi@!;7zFH8#@R_W%R
z(SA+ajiC4GFV@vp-1yqh*h)>70li<0PI%D`p^d@bJ2Zz2<rsJJeB8i@vpwTaEp!aw
z6%R}M^EOW0oiw)dryCQ}vWM(1Ju-m*u9j;xlR1&+jI9Wfz>Lig5>Q>n0Om{ULr8@j
z=(}m8>EHwlvR+*iwMnMIknss|2VV{>7aGdS+{T7I9Zhe>rD#CwsJ*SSnF9?<Dc0?s
z>}c~5AIYav;d=HD`_GOX$kanFrUY@~Jfqwm4lODK1~RVwy|A7Gx4cvcSK!9LZ7&5X
z%hq#&wV|&?7YFtqt}pBU$%BUXN25+U>qFqdK*xS(PArs~OTF=l4@FyKjySLH;nZCo
zk(R$WQGB{`MB$VG`X0G|J@z^U8VfJAnG|y&<MjJW0k;HkHpb5)Oq&8s#xuix54q9n
zbf&TLTOo9(i|HQd(}O5+`;xE%9?bEl_J3XxM#Vq%vIRHv;H`7*$BJQIEL&LSG}<AG
zojK#bn>XqKo(dX_Hs?oO$;;&W+V#ETTNRHj)4DI@I&pE20FG(5JCa-^a5Qf8+1mzP
zIR3fUB!ec1?-WFPEB{I&u}IDMlB^3nseTeC6@<{P^jtZ^8)+1@C-;P((1qw@mikmh
zVHCHoW?M{>#TP7Ofh2cb;0u3c`P4`R-}wd{47)3j#g;jn)NOP@G*rjzzMm*QVQp48
z)~~S6Kb_l$taPDbzWnOD0x=YFuv9!ZuZRaet$OEg)dlUq70)z23EUd0^>M$75|ZrN
zln(ppLI>Y-!`w(oypsKzM)gs~YavmWEpF?=`!1h5bCS}i7ZH4O-~a!I-f@NYwdn!_
z^UfZt8W~J6@0HA-SH;EJ1~WF29^7l?lkbj_L)#i*^Lb}7(kELEB(C@KJQ4XQM^6FG
z>X&zF=BcB8@}S!mZVJrU30iDXSHu9Vsz?D=O|&0*J<^o9p0kSFd^*)hSg+T@X6mMe
zap^+V!QT2H#B^Jas;7ibfw%J(6E@&ma`+r+0~K~QhhUSLGR~cG`?s%58`&C88&Rcc
zP-ZVZ<z%OVBc?}%j+E<QP@fm8w2A@5IP6WU+op=jyv~E^cDi^o=7IV~J3|;gmhdpz
zRSnaoe_OfT)y0<oT!K2ojUe-OIg^(i83*)y#5*f>(eUqyoLim7@Ile)Mu4U|cG^Z&
z$k*xO(tNGuTOCvQ>M8UfXI34ZEfv?OX}b7@E3-@Iwi&qZ3ecW;pn<)2@8*O$=%Q(L
z9&5yJbEwF3l=4y5#7fWB1m{>C)EnDFy<kH?vCTy5tBaaQLH7zL9c>H>i%_eu0$2pD
zr6+lsxctyM*E&oKnF_@AWPVuZ>a%JMha63u{I4%!?4kx*9MuThylve(XCTGk*t)mu
z*ls6nA)~0_xqFUpEa86u0096043~E})o&Qa?Uivjj&W=b$KLZ8=RroHNn|vPWR;YX
z1|cP)K}sZ{lI;BKzORv$Jt8X-LS%-BpMUS`z255`&-J<QTUPSiRwJ_lx^ZVD&t+K}
zwS<*V1~Qw#SBEDSqUYpM$^F~!0`Ewnt`NKEOnnnL*WqKb@<tAA6(=-J3rV2TsB7ha
z?Mz@#tyq+Axh&$r`lG!gL{Q*I%i?$TCLk^%zy4n~8L7|y<MiPXL=4NJ{%s~EaE8lb
zD>qCAz4xLYSzqTxZ=)YR6eF6zBRYeg%jVJues0|7v*bo!zcmLIj2Z)jzeNObTMAu0
zEUlW$&5m6AGM?r=Glr{Crf-e&C6R_}vyH)ZCe*RxI6$^E2Bt4F+AFRS=;@gcr!Rb_
zMJaJ}{p0fh>fI4XFA9mH<$%mg&&f?}e{kp1!w&#F?XAD>s}w;rC8v*A)vaPf(eUD`
zGC-av+qS5S5UMZ#&XmTyh%G!QnAuLCf}|I{Y@MheVsUGuAl6yTFnzt`NShImjBLl*
z82QnGye$(8iAjurx$^ci8v!Au8Rx-6Ku1~>&Kl8=V>$svE(@lH@P$9#i{BEDJZo%O
zn%u@Phr`@$ap49~)+i_C_nI3eeBzkW-WkPo<t}I(YtV-q=GnQ^iZ~=bROa;}X$)ia
z{$iEEr4L*0Ta@QMaG;0WI$9&U`ycw6>YC$BfkVy+6L8vttc8#A=y6YAEl#19w{!JC
zyEeNv+maOxd((X_dO3wP_yjU5FzSJM=PTRftIUYh{&en0;tVF%{J!VGDP3Te%2g?x
zW<&yx)fU#HbC|aXds7<Hf$|%@F1hgx=%y1%K=i)_OzWHXsF}15cu<B<dtatU)sY6@
z)SoV4Q=(#d?y=fne`tVb;T|1wGJL5__jm<klQ<whwW$RmC)h2b+h~!1GxLr9j6aw>
zIkBbGPYc)<uv1?QX^~fERi9t$I;Ixbb+B<<6OzJLi)(sm(9_VSPwzQ4vE1Sy8I}{8
zkhj8-m-3hf_5Kxo8|L{Bb9LP4J~yNR=Se4>@PRbwyFqqK>F^GQ>rSPtozQ?cw^v0}
zf@skF()i37Jz5l0Z}a=*ggQj83~e|*r$Nt*Z#&W^(jn3K;TQh?>d<QV;FrrV4PyDO
z(teYL0mU(K$NKN6fyYEs?(yAo^2^qR(?4WH(p?Jr1&`EV-^(_!#&TMu$fJ4OPlFj5
z*anjK%d0^*pYr`6J36%E5vJ3##Df0GJ#TZYSA~Kfk?S!W^k~a!w&+e58^Wasb?xy~
zg_*h6epklnQ4r;$7RMKMM89$H<O6n9sNkCPUF%~&2iJ=^MQOPZuKIHB!E-9WZf$y!
z{}&@l2<Zsy%EqAvsjv`gn=(AyTKg*}!HgnAZmtf^bECzqeeCb`l;PBArSlCzEXd}4
zk!hP19=S`cYhEc(f(4&&q2?7<6i_It)LX}khA-Rq=4vZ}cfir`{fT=}VdzqgtTP|V
z42cbU+^h&+YIS&%TzBU%$R&FlFM!T=b8^2trwCPRk0=Jmxlj$kIrqlAAiABC(fg33
z2$~z0V&^~N(21vpm$K)CP$O?+$c1?YD4?rOd^OFDx*u=r+u}u$wAxkc<TeGk{3h}U
zNg0nW>0Njbs49+jOnXSJ4GQp0SHH3UJ}>$!T9}vbBZ2$^?6yh63J}J*^q!lI4|$tC
z2)<e&iGDrw4OQb&gf7;H|Nf@)qZZlX@QY$3WNGy6&Vsih5RHyyhdT?R3Z`QoX-}ll
z*w2Whwpm4ZaLe)<XbPc9mRIsRVq}yk+wn2wnG&$qblF-eh#=1Fa)vYi$)YCq`QTf-
z;P@|FHIUU<45{v?&6ISIN30IK_?8DM(4g2{vZq`e5eK=5)7uJYGXANJdw?ojFik$R
zF)D#(Ide$i=}PFcu~e3}p&I1Y%UtllOQB42=hyuPDkxQQKzT!69j=VQ*_Q`MNWiMg
zf99kr@{4rykT%qSV-o}S2yxQLiBc|K!lj0Ee5_L7k|wm{Zxv~D$e_x=p=AHpYA7M&
z@{^EuE$A#DzCXn-ix&R%dh!XYBO$k2jc2TNU}+A!@y|dGJ?QY3@;|GNDnpF)FHY)0
zM^yjMTaNN5{qR6xO1L^owEpTk^n?PQ@!5VKoE4BzM&PlQGwR6Cqy0*ltpQ}RS546B
zE26@umd|N9)DdTLwudmU5zv+L-&_8rh-fdwHh#aTh8QHYMhhFM;J11tr_x&qovIL2
zu}@Y-^N%JDYZU@mkI*@E=O`hgTNGR^K?QwM^*{~2#!&E~X5?0Z64Ix9?vRO7M0vt^
z;wXm+MBN-ya=EC4RGSw<g)8Kc+k)0e<O36^m@?JBzpRMrFC2cQ`#}bo`9!`sw`c<U
zW;OT+H5HLhd*MIEL@8u@)+JG0#T3kWY7gBqP(bx+eX1cL;z)5Hr>DbyQ#djy9{Y(~
z9-TGTpo``ZLRA~G8v<sgkZt>**t<#=HNM}{=?WvDV|8w~|4Ev{%}sI(*FG{j<+@jJ
z>^cs8y(}Pd=BEizMva*se3V93r~5A56=p%j`WINZl1yN@9>*F;CZVg7YEW^51_@7;
znZ7nKfe(c)36U|9=pHUx*j{@DWBiwV`C5-LG|(LkzrHGt;?G;%t$93-o%fedwDB+o
z>wO{YnVq6Yd>|v-Nv9NR^t#xgu>_FLq*x!&Cxm>iWFD9H?xt!o=dV4#0gzKA7iPpD
zh(=#s`IAN(r~c+zD7R+?I92p4_<;)_qBqH8Ec-l7mFYjc-(86cnhf@nW0QE4Nsbz#
zkmsp?o%WXFY>ePG;Zp2u8aIjwTapT}U7)VfHi^{*7=opGuHr8dF7#Ni_xAIF1!|ZK
zYdvSG0bCv#QL}N}gIpAUI{S1kP$d@nx@5ZaL7+AM#obkAG<wqGz<HMis(6KIDI>c+
zR8qZ#W@i{sc|(s^r`~TWnRF)OrZok!{xjp5(xgLqP9bJPhvul)QnSAwc&rC^J#1Zj
zl6J5qqlPto@+@`7Wx_^oR2ND_rO)qm-o&^&ul-9O{7Gds=9;Tg*M-)#$}*3%HSFiX
zj-<!8C#iBrwm*ElrvqDrf#fQe6^t@pJa}LG2i1kC(&+n?HVCuCMq1ro#6F6wI;w1r
zQ3<K(d=vY$!JE^ca7J(*i{>i%1Et@nkN4gazn8BCui9=$=XOnF3V->PnyUt>ELx9!
zl7zH?I3^|7D>;evO!{r`bM#Ytl#dnvxTgtEHSVlWuYJdO4ii(u-u6)Oq9zRn+Zqr~
zxTEyecodT`6l9N$>!g|wHa7(aY5-I0$N8S`gP4g}R*F+dEA?;DYD(~eI{1DfPO7c+
zVf*cZAJ%y_Qft1OnG2m)hqCIAZ=_!KV2KgrA6`ARRP7ulH={*0@aK82A==f6Jq+n=
zbvuhu9|<(oG+b7LRewu1g@rckqRt!E?!P5egOl7$DLblwKiGZp9>ZtMS!Lj~n`Hr&
zu~pYLGg=i&>-D}Yermve+Vz~(z4)5CBtjBvBC0}4Fjr)*@F$EoE$aPs<O%hCN8{x9
zaTUnw&v|@er3TZjP<9ke_Mp<TF=X;aD1&{Oa>ir*Y78f)`nYZ=4qI-XlHV*+g4U8(
zOn>V!?ESs<gQ4$UVosP;_W5Z=*twB?MFXqCxcwA*7k|9P9w+D&TkZNzg~MN?iT#z>
z;ESHK58U&y;f1q;-tG!;u+N%M>QI42`q*@R)&GFy9qI3Soh1)S7afIe4wPdx@BNKC
zm`gGC(IbCGmgV4<k(oqyT{(9A(HgB$Uj-)ky*p#UL=IBfrk0yHE3kVtDrTOg7^WpU
zPgC(k7AB(xN-_&7uug;Jgy%!mnAe{BGNQl9pl<Wi>BZYhZ1{wcPRVjD=0}@N+O#5r
z<ZU1AyoD-E@|tRjmux*YF7a_)BS!}ESN<-XyNhAc^lKaiw;C}TVr6tTj|^lkzuj6Z
zLD*lrtR0N$GiEW8n{Req8cHOOyV~|tV>NRzANjCW?EL5~X=<7Td~uGM1;kn`AjWR#
z!0`^uIh61y(1`@wSA&xT@7H0jZkF?-E1eh{qx7S`4k^fe(W$7XT#v1teml_cUpJQV
zyt{a1pA-~&eoj11+laMV+qX=o_hRN;J@<?2B|&IE^;Qg9GZy?rG&Q-p56eq9S3++g
z2`OHmzPlc1!Td|QPnHk{FjAw|TvM|Id{bwtGVf}`EYv$iGG7m26}QWTR}M?SB-^7_
zm9`G-dX~<~tJl6^8iuxE=ZC~$Gplj4=Xe)JQkO8GKQM;fe|E7&-dh|7xt!V=a6Q;a
zaR}ozmT}B@QR;!>A2DE7bAPU~+Kat@zr3}$_yc>MyQOL=Dh7Ag9>pEv?8mBIA~`>D
zO<}c<CI3FK76o=%^`*^I16ZN8^PN`DX^cyZcxWY51SZArTAp7X!tQw7)GVX<h22$f
zu=A)8hV`+pPtseyVe|Nwv;AZ981033e}*@Opf65ySv7bJ+lW|>$!1-|4ohk2o-z@F
zi3DTG9KCT2*Dx+YZePNPD>_|ku|zl&JY4!hZUW<BusC(Teg!))<*HgaCJ50R#Z|rs
zr?9(L(I?2Of3Qn&b2D8OLEwFHvr4#N8pAk?SK?1^U=6ffUjmW@0CyzW(cSJB_O*mU
zDdgG0_D1u6o}v)|{Oq$gm8QS3r_p2XfZM_FiV?>W&+$XUWBLMplSS+T^Xqj#HCjY>
zN+Xo%2Op%XsB`$>mNAPcg+&%NdPMdqnjbyQ2ZlM%(;srLVy^<UM=1P^=<jgF2ij=@
z)cD>@IAgVjdAptO89c#^X0pR%Zw3<}N?B0exNZacv*a-EJjIF>-A8qb_z6&~Hk3&Y
z-@>Fm)&A)$VMpz$^fh)hyzok5#&sla2YbEeCig}k7xJn!O^m$G3-{$O9J+Ru7LiI=
zLd4#3qm-MJ{uxVNn64*_&pXm1;X=usk$611VY)Y>NuC$R-<YKOUtmOcD6fwYO9&|M
zRkDDJ3@<20N~gc7VMY(L4tuWe=2dFiNofJ#1(nJ#H=f(Fp-nuct0$j`-euWjrQhTQ
zzN^`z6G|LtY+QIr{ILjn!V_3;GtCRvN9<3R%j1xdD5oRwlsM`+`)61^iU5<-e`G9n
zbL^+iw5JiGlBnQmt*WCJAJBcs@wfegM|A0vzh{_8XyM?wIL1VN*b()QOj;$N2g1Zp
zwL}^8O4v}6R#Fho12@N;{Q{^ch#VB|D2rYlmy4Pa7J`eiK3N(4M0B~kNL%ugJYrnP
z5;~nC0*6^?LpffFpj@knM<Mn~i0fHg6T=B{IMpsVCSfa%;!2LZ>|j(y6w`0hlKUlr
z8t(J!_NoM$O8@z2%0~^|W8F}%NF%|TC+Xc%krXQH+WPqUi#lp(+biFAkql4gL-W#N
zq*0G~^sJYGCQ_P_Ec0lSht#z@%e}#5bh7(Km0z3|Vr#G}6sS^$tPU4n&nt3BOiKO`
zFQ$#G!-<3X>1x1d73t;}q<~!St{8fj=%61$TkC0>nsD}+)U_mkCB$C*#)8jP7rATn
zhCgH1fv@$?a2p3z5N@>2QtYiRO3waoYh8o_XZ{pQG~H4~bOF`+$1dq2iNaR<q@#uq
zuqt%KNnZ^Gyj(6z|4#>HJkg8SvINj``F%^hSq<H3zy0Zkr#7PZ6$-x5Zwwz_r-!DJ
z)KPAT^~JV(nrPWvTF=?S6yB6jJBLiv5&N{2$#FGx<X-Wu$1-d$B;6!F#fz&W>l;@l
z8-6Pzt7jAH9KmKFbIFuMs8B<9$60T#GRvXt&5@vgBy$)OHd}wrr-ob~K92bEPZCKq
z$j?zi&0&XrHk?jx_x#2!(j`DdP5<%u=f;`CJVS~SjlDAR-v3f;w2l+iI3MC@b2f)J
zBc~$OmK4wtA6g;TwLe(fYi;l6D`qgzEQ?=qltZMwpSg3|#;N0k554C-%pe*kT|N3n
z2C<%M_qltH4!&P~9?oC27ji81L+t0Ikap(rSB3-*=;84Fdz*PLOpWVn2N_5pUkNjt
ztVAB@uzMP+cEA+qPT39KHxofExelLWV+cU2zTLN;XaZ_(zA^5$0?7N)uc7oLexO>q
zUUZ)}23pn)x8_1Ta_cL;6tE}&;!$zu2xi7GVU4q=>EuLRT^Ss`6}w!EHZG;U2lzU9
z*Wtz@6DmpdTFw+D0@J}!W1<+q7oih+3o$!bjLQ?A5M3fHmvu&5rcmM4fYWXJ_$6$g
zLY<zFBoXcm5Iicaj9`BDtn<ZZgV-(p)fndAf<XUkqgmeH5QP1VbbB*esQe{meEzwD
zklPzL-kWIviobIHEzV6-tEMP^KYav&98Q{?p3#R>SFgDRIj>S%2j<?1s|teR<?xtl
zLw)EeOMk*Lwncp(w4E4AD+oQu@Qw?~6v#JCzE9Ud3vV0VIKTZN028sHl4i^lxVlv3
z(fgGF>Ms21?H>{VOJc!#!!<n+D5c>#nZyk70^!K~mjGar_4&mcx)60_mPJ8?4Z8AM
zMVxsB0fugz2oBW+t=u54F<*A5F*918u@i)}VTHVGu3i0zaD(w<PN+;E<82EBp@?(z
z1^pWxFfLxeC0OI&c0DU8Lxu?00oz6=a~<$o`<q~6$_--8L+{=e@9JZ99$9nR@b2{u
zJy$gzNMw6{ecMF{b_AxkH<GnM|7>z6GZ7DISF_&}#e@N;l9umps|{1Z@=|;>yzoaq
zuKmFJuK(Q{STyC;hQeQcXE-K#;WV?qUeiwzxO;`}L&cC57*{@&5NacUnFmAF!{4HC
z>Xt*fO0E_NdlleB%lV+2uPD2kQ5?((r)Zg?v_L1#@bBAfemJBe9-o#X4vI(TI12o<
zz)gM9h#^A&>^P&Ml8huEG4%RIj<Xi%JGSyGX9xn$!CI$eN&*h&mvMz1(}G_&>n?wN
zPXw;*%9QRzNkHWE_7W#8$p0_mzRyP?(C!;EOt6uHXd_9<L0>J9oG8Gp_X`8vH@u!3
zGYMq=7(BalPYb$9A}0;DL_i5zew?T!0Vl;Sj=oq66glp;J|l~PIDsY5B}5uB4eOcK
zerbU+v963+NgPTJ_ePBC%7DUo(92ZUh9=v~n}SW^&^fK)B{e4llAc<_#*x}U|NG%4
zzo!I<5e6N0o|0i_s@I}>w_iN<%KtsYC<znSeum@pWFhsuTBVG=4kUS8V_?gW1l%us
zl@Cp_5I(5kQ`fBn2}nwi8Kl5$DD0z{g&b`6*Nu%k>%!?ApB%=1DcHy9Vst%64zdie
zq0@`Iy}rreHj_6A*!pCzv2MtL^7M(E(l|XBoWWoCzDxoSw(Or4GV;*3e>iAMivn-h
zsG-L$O2ab{C?TuM!;yW)FNVe_aOlI`_xMR^cyR5G7lkMf88jZJvmfX~T2NzY=RO%w
za^JBWACiN48-ZuOR0BA^l#uD3ECXgM-w%dem4kg^J(06B1|Y?EuA+NT2KY1H^~Ep9
zLiay=N?)8IOlzoh`7@EB<4{>rgQ+Y8%(AflkT-&vR3pQAA{m_2iWB|>k^x&f-1)oI
z2(At2XI&5=gZ}J~KLXJ*;IUOnlF^}pP>s&PSKBhczIo=X;9Y4bU2{{ENT&kFwHk$j
zRvF+UU9?IG*!_3wCngM=R7fwBaCMB7f!MEKqp?F$p!BJ9rd||a19$%ZH#r&DAJnbz
zNmdeiqhw>bv;ds%vYgp0lZL~ok$bynB%pt<%{yn<?bmswW$n7saJ}doW>qByh83fQ
z>$`gII#r?lEeQ^me)?D&D*~my9OHgE0AXJ97c<yN;I9$%q3)&-1hYJgy-EVu>tVYj
z;3)+elRBkV@q#e(LR@*91z<SvqRLjeB*@O{GQ{-o14o?4x0%mWcyiRDf@6;)w0*~o
zZkg~wMBvrZ`XDN(`SG8gIW7STb1|wn$9TatwDk28A{Cs3?^*rJ5{DlnA+<62cyKPR
zjXzLi1Podt&u9LM!B{!#-H<#U5E5=0tl4V>LX{S7*WZf*lZH=G!w@%QGrr(@*<lE}
zJyiEi9}!@d3EHEg%?)JNk=ip3hOllKAWJq7hHwXkIb0bI>MwW4cn=%EsLWP^u9y&<
z^FOp4?TQ0|sF4fZrwkx6RfKt#j|kktm4?|WIIwTTxYNe<VIt`#%UzNn*sFchx+8*v
z(u?k0xo7m@(HlbXilqSDkD9PJA%_FaJ(MS<GZa{wEdGQ=@Wa5s=$Y4ta4>Z#{Lx8&
z3aI-p<*4-YLFKuhrv)D3VC^3*t;)I{WQ1)f9WvzuV#Rl%|9;{C&D!328Kwt39~ZZ`
zKM^45yHR$F9XC|pTH_JN>A|AKu<hDO0+bbITP=U#hD_GMRIW5#ARjU28p09aqzBtH
zvkwmpj(-zu*3yNBnthSb&kGg!s0lf4JX9UPG+wvqKuzS$#k^u(P};J5TGWV#=i+MB
z>pnVg^vV14MQ?ebZA^Al{UI;Z#<G6q<J{%^W9g4y@_8XTPMhVlHvwK&JGt2xYeQK~
zetvc<FU0GaOAu}O;6&(%DZy16V%=r0w`}vm=M#D(M-S}gPECqY{w}u%?)m>1G9|#P
z@pJR|;{tG-rZz0LRSTH&vYqZF6JXjsq}Jn-Ak0-qe-yc|1>O%=g`-(^`$2A5#=)0F
zFi@-J=sBtdK5J!`$#?i5K4E6Ien<$GNZsYCl3KvoevctUkROCx^!BF9iNK3_-j9{*
zn&5HtM)FD(KR7>H{q!JG6y|?R|6=Rcgj+s5X=RrLfH{%WMYAjhbUm3BB}fxug4s7i
z3<W{s?NmE^i8v5G$3~nj(ga4S_4z4&BIJjrm>jt#0cLFb2+jGLV5(!!5kxNpJliq}
zH_RkKXFC33Y?&s|A6LZ3?+C%TZZ1tQuM`~5xSZtGrU}}JyE$Nw2wW}XIXpEf1^ts}
z=s6ZN!9b3K1ur8CzwC|&;VMXQ%`CA=LQD%bH;0*24~W54PbmOaK&iil@mOgXU7gW4
z-t{9D*QXzd#^T_c!QwJ~a+g1$k=X2;U0*vxTP!##4xTBFS!N1kNS&VEyg{c8oAwUB
zr^6(`d`)e#XpRii=U@7ge6``rrbdA5E?-XYTsMtNmjyw4oy^uB+93O5QCz1@65NZc
zPk*zNgMu0VE+JnXko(Q=pnp*ceoQvy_<fawtN%zg$7pq-;0Udv7=Z+=Jn?Jehvea1
z1;N!hT^FSH8BZq^kRUVdc<RbKc~D~BQ<-!~4_3HLd`afg(5qwA5<M;tmwy`ZGVbOX
zN<VX@Qin8HYdNkkugQZnE^CBPM*-*C$G8}5WT2}eC*$&Wc^L2tyww|_54Fdb8Me!I
z?;m|$q%&O}n%r@e88ZVo_~M3B94{FLPvlZGDDvQ<pe$HGZwTA%COCITGT8Pl-eY<#
z2luyJ!cUeP0++>K@#|4!nA3msR%lulM(}S!70wtz#f@Q{`Aag0eu=~7Fv-HXVhNTY
zdMdDm-die8A;TT7tp-baGFWZqKc<bN0u#-@$z!+3@L=-j+{+)*z~1@Zm!2MgtZRPE
z&Wa2p>JL55ci$uE>~^1~20(!SrP|Of8Q40K^5LleF8`ah16}O_X6;fY_CAq;V?X-8
za>+@;_&L5z%6R~@V!FFYL>ZV=T(x}kT^#b<O{1EF0TOC(!Hdz-;59YMHEJ#fCx1Ki
z1@7v6HT(Sub0lE)A_Omf7lv&asp08!0Ll*W95`bVm`55WaHSJLOd!jj<2XRXC9)%1
zv=mq`GJNfg-R0cEkGS7@03v%Xl&S2_gWc9dba^%(kheOI{l^24Cvt`@o<kD8Z1q%=
z|M9{Jk|ss0i3-}+#e_wzC1ALH=4WmM9;lj@29~FHeSvB$a3w|@B8xgP8xtNlA=jlV
zv|t2xPI_}~r-^|!y+2c>CO71-L=#_L+4Y6T8>eD)L?KK|E4utR4qD`rMYA^y;U+!P
zZNjiHNDN<Fsc`0kjl470zFskes|?QimlA}4DxP>O{RAg$t&%GqE*roHNsjJmS0Z%$
z8_5+f<N#xL;cBLH24Fs>5+H9O2=S}~t5SzJpueT}uE9@zm}3@W_ch(k(=j17BWfJ5
z+*8!Y;ieDO(BFF5fgilv9qd<k*K6C^n5%!IKo*XJ_P<CzxEv?il=+4O1|xPf_PS8u
zQ(AAT<!&xD&kV=)t8zkYO}b0{upTrv39xXh5a8hP6D@K-IiZ74_FML}9{d%i^{w6I
zu=R)LjQJ)maOZEQZ=2GE?oGbhB?>QGFd#c7c;R5C$u){2Ko|C=mx~Bb;KA+Nj%*zb
zH`MpEWa!f9LQ#Xw(frqVuw)3c%go}2k8j_`CqL4GUb_8w;SfChd*vyX>c#`bLRVC8
z%jtkwTbECpA0En^OlWMC@t{4dji-Ln2F4iNh+zO8exICadB(~MX?on@f@iehdua{v
zS2P~T-lV(!tGtjJok}{(zUvFG+C$Hl<Kce*009606q$ECmG2+M$=)1$?>!I4cASe4
z86nxDjG`f;6tW^CDU}c*6{(1%@C`*NnJFd74s99P^*g_RpFi&Be(u-jzOMKC^?d%%
z`RB@Se#le_rX<(vV*2@Tq|+uZdT*sw?*AtM{&3z?z58|XuBG*ciwhru{eP&jN(f=>
zPjmi#SzXZmj<V2b;X}NfZG*UjFudN=a$cJx!E*w3<z#-uePWy(KPQ4Gs|71UcSxXP
zU2eG0%a2ge8*gGKMRBQ~PxeMM34aFnzV3(=K-t+<-#Ke>7>bpa4?2_3n|{t&QC$!j
z(e}BlPb6^uQWM#OM8X!<u)M?-LFC=O?5QFrg&>))`~#9Ce7jt7{`xy1%m%KCB+N-+
zGuu&;Nq~fx%=EDqFNAT{_moh`GigXKr>8#<B%#N|>EPcE5&ZY?L@Hyk419bW?QYAH
zaInBIdh3WN+RJYwtHsOW?!)2e29Tif{9Th1oj9br>G)j(<gnXGRp@>Q34xall@tsl
zuu9O4$hVQlNNlIR_cank6}qBBV<a(tqUPvTO$9_nzLq>ZOM>du?%hp6Qt-O_Ng|t|
zh}QX#ZKo-^2u{=t6XcZ!=h;^^3cnN~p7>pYuUr?8XDl+Jsr&vD$^HG}QzcZZskS&v
z>fuAsx~9i*8F1_^GR#j=#>$bupR{l3f%9~f!l;@o-oE4O$ktOqvXN<{jhQ|oJ2l&W
zjmknSU=UfoDzNLA=WqF<kA_7`oZ>k-{7WtNi?LNj><e<MNr?dh<|l59>&v5U{>Zw^
zO;r$k(#yvE4e_X<`-k~^c~}~<oC_RO#aMsxF(XYQJi0}Wve{4lP7llRv@unz-R<=;
z-(rk2e4kt=ekh=C{pyjVMpYCAEmRyDGzPD`m><2LA{t(tN;VBtg=nDpyOv55m>i`Q
z?`>4Xx0lTl!k<)d?SPHlkCSBRxJK^1`&SVGqZdAKD5&6ZX3CRP3sdk;r|2G0Qi7T1
zN_(%FGB`93#A<JvVofVtGD%MfkLN=>T1iTHf8X}N&~*wl9zVS>si=g5yN^t~p;tte
zBdy0V5#Z<8Npsf?MP!vd5YTRrhup4<(rvB)WAxJ&&j*UwVkgz~!$S_d@}dtrQ-Hvf
zN=+>%MQknWxsdux1{)7}N7l=Lp2$gs7jG4y;Xz=ENs@-R(0*r9BXGuMu<y2+0`)y6
zk-Z{P$WLW#Y-<6Qmt3MJuE?X2FR&{zUL2R`DzCfO1C*)+{hmoVXkKrTfACWTmNggC
ze%=5ggSQpZO36X=`^#y8vqGpDvox$f4QM-xc}eb+#qKX|iI4UOz$Yk}iPaC7&)Ke4
zpCALdH<pTW;e6O`9#Lee3EawHeynj<8hZ}Pe#&hkK;T9G`|RHos1Fa8T^p3bJ0EFn
z`)xd6N>HzSdV+!jhxkT5GE1Q$;?wOBc5aZb*?)^)HANSFW%T7Z3H)Ig64)ikiP*pv
z+W8}<Sc*RGySgrhp56$Nzyx;W++dqrnIU7$t8>HftSC-}>Ee?e8*HLPw-P<c$jnZ^
zxkeJfjI?JkDUubPUJW73uS^hAIQ)>bB!skwN9X!~u%PKV+m1uVCWyGA9<jYw5JKT>
zZDBPmxF<UPEAg%|;uR;`M4kyCb%Sus<q-?&s#lm+C5%CCr7h-v%a1Vy@wt;LEXXDG
z6dk!}1g0!0g5y6v#2QTnwuG|cL4F>~5mqC_{5Wr%Ysm*;ZHd5_d~A5TKU6C)*$|zp
zF^>|<c;V8t?4>ZxhVs!A`kS<dm_dm_yfiO%>#awUN7*5waY!{e$pE#{)~eHW1Qco?
zQ!v@&K!L&CIcp{ZFs}ac`R7l7Z-cWRn<*DcB2Qe_J+BXMvRVt55&=h3mv>4ya^r%;
zpj3vqKDPLJ*zcw%fD&-8FouT*(=P=dp1!AtW0lvuES7m-8>`|rKfwb>-O$QIR(d!y
zdcj$OhJc_=pSM}h2=I~<+LJP&i#U%PJOL5}Xha^cJoAtj>a9fs!pXXDxcP*)(20OA
z%CCg18u-waI=nSbRTsy<Jc|g<Ctx}Lk&!_+KbpC>o#XsKf~-x(OzaW?54ZEMeVZ2m
zad@aw>nsUw!oyEWgLolftk(TQMF>RYnk}x@Bs^;(Y}9?>1-HM0?W?20AS+!h-(V#n
z_AJr6G?5QVe+>Or-iRP@ZMm>|KnJn4w=(_I`Qe@_!ro^o2DkB-ee4xFuwBnG{QjLE
z|Nh7hoahusT~or$e<?b+&{@Z9{X_uiaRW4;0wt;U-tX4&gF5K3n|D80E{N5M%GT#;
zQuxI|p62k?!M!xm+gnS8kW>4wepj$Gy!`v`@AA?CU-tR)#nr<2%{(*{>L`QkpWBP|
zgQ)A+e-%~l7r|`1z-1oD!gNXf>CIRj%<VXEeIKJ3a)<d;Ms?-z;yFbruT%%K_6?iq
zcH;PSuttzgOCC}CgZ48H>VVNa(<<(|1Y(j`CG6A`@G)t0c0`<dKJsdmX?iIPWKaL@
zQB=gz2hQmAND^50UfTMsSqja9V~whkN~kNBGUOd0A(^2`Rw_;!Os4$%c5^BtPPk)l
zg@-QktV~jmn#q81pXA!>Ic4g3JWE@h(S;$O?BEYZSycCyN4Y&!!3XXcm+>?`1jY$p
z_Ue*F_#;;ur)X8EJ#Y!@FxE%J7RSE^)Lt-7$%^XcSHo(FM^V;4eY9?LXxy=rN5`?V
z7EjKqL7u#tbEw|{xqCdOGiVjS!o?W8ZCDLK<{en9F~n<YuYri$3K*%kRHWHZ!%M5-
zlj~QEU_F<``*EuxzE(Zw**mKSAHs>ayXnSwt(#e|_DT^^d(IuwEmDK30f+Ua6DE)^
zKGgZkPziCDj0;|fsv&Z$zo|Wl42pyHz|V6^ATZMI@!g|}j!>`H+%~32^xBB>?@)sA
z9hDj9a24bozh$E@K|$)2aFxiE5<(=cHzgdE(M0pnfjmZmq@L*a(h((iG&=Da(<@<0
zPnpTp5|H@Hc+96>36DAgJNj}I@MeA2*DsksN8#lU7s8bgI!0dE#wm}5XD>_Qp93Gp
z)Jh}Rl;9*bH_#9z3xP6nu+2}viJ3IOmZpg34dpvMhNZ#aY}LieWQH$37u}S<D&V;@
ztLnI=6zIC1RPb<{!RI@k>gy^%w@5rsEm|DGo_YTAtY+Yg{2|GINFH|g1;_g@h+w_p
z!9wUCfHY)NFqtEVRQJ}#=y5@8`e~4S-T~8>Ci*_s%HqK*PTCux{LqRbB&OW~jw;Wo
z$aczL=gVHl5(+PJ7e8Lkivo7G2VA~2Dvid;!{(n{d7wGTlc8Y(>=2#!$Gjv38{b~W
zYr$Ob95v}LU!vgXscz0#PAUAn|1$0C9d@kJ6~~Q)P>^ovQ<&`|ft?Qbp5%wILixu|
zshIbsaB)z4nN%%?ppuj1>PlwR(C=C+hABRQ-YQ*K6c%P&j`SW(*zY8yCtOa({+e;q
zv;tvx%Sx#)>|=zAvD1=2I~nIq_s?H35Q0QV?Cu}E3^-2VV!I!10{)#ZoK>lLBvQE5
zbM!O=Cam|*Z@xFiaxY^AYX?8n>Q0MCpJIT8mhdtwjM0_ie<!1f4>~!Ls(YFkuti>W
zIO4Vu&gj()<n;1lV!Gg;xjG~05)&@p7c|1*yN|Wn{}Mnbu~HlFVg&7+@>j()LrkP_
z&_!=20LFz;?72)3klsEfy<vdQ58ld7*YKd~TY6nyDl_V<TouP73}7C7@4Y;U2YIE8
zHns&USbWwRd-az-LQnL=x{n*?TA$9f_p(C8>XlXcVSU_A8%^>`;fDMnp3w+dc8vFm
zpMJZb2Me3<mq(qsQC*r%I+VkKF9-N7@5Sn2^`xWUV?AzgxsSN-ljp+4M7A<pRy}wn
ztw@Iuxk1bmKF|}wjcmEwm7|5a$UR3B&|}7pA19L*yd8P4J9uHNjHHX3qR8;r$Bn0!
z)7Pi02=FW0?3jE_!d8}_nU}6{V^(9|J8lPFSUwsLAE)M(eTSmI!W=iAWu`u^*vp5_
zFX}^!)O`EAqcXGKnFlu=2Sm<f^P`N86dTvAgVN5}j;IbEtk~|%z0xayRol~j-%jbE
z^F#U<4i^Ia<Ik8iNedx@y>htTOb749_1~1v6Yzb0WUez!7?;<`Pr{jW;J)uhk?T!f
zh{epXpJound96Cqg8^-fw#7YkJ;(=fyMy*gd1BCf=l@-+QX9=z2qW*e@gwgS{ic|?
z1aAEkesDKS8?jG3mN*Rr(6P6+j7Td5=D#gkv@zOHIJMngi7bdyazF2${4Rx-6kP`K
z2yHlQZ}TL(2_Yt%)jD}X8uU9{CFqW8<7-^_W$V+z7$3;fIXxkRnSW0GFEh09>-LC`
z;42YS9PRJi^Gz0+>N^f!xT_7*wT?%IGGe%yPB2PXmqS%`-?OtL+8D88UH)}e970hX
zJx{q6p!p+F;j6R`EVkA83b0G!y>(FXekDbCU*z@gj?%$*<Coc~_ELC3pKriTQ9|I+
zWEIPC9c<*dH|`RXM%I}4#Y}4M-RP&!C;5?}bNPrJ>u+i3Sv&eKxvAjMNn$a1o`kdr
zg`FQeWS~CQeywPSDvoiP-YUDIizc6AhjVYpqPWUnRGFv-k|l>O*<BC5Bzx(SI5`~q
znenu2NevoC_t*4P^sy8YerMK29+fI(e_!ONBa5N-3on-eL|YcL)@2oN;$~lu2CD}C
z1#yNZ(;Fhq*`knPRslDf)tb9(HBjx|P3z8Ngek_w>|ce7@cb&7@9v_3R^gxd$9au$
zP??=C+EfWGTlVbemCyk5(|Ge`Srde;J7xsGRDwx&%cZ4qb<FHoR#Vp@!>jD^-5Nb*
zENK+vb^cU?ul<&wc_UNY@^_D@qk7cXg_N*~MO9FOB*JD%6b$wp{u*&#8Atc9KRMN`
z0yk36U<e1$#d33^rBNBrC*E3@I4fhaoA%1d2taIjSUvcvGL;`BRT8Nlqwlyy+WZyZ
zP#<v3*;5(c{1-Dp?a8W?a-UHyGx&N}ho;Ocp`O<;Oi)J-G_Ch{s%<rci1~}%;=xMz
zENh{d<1K^Zf_oDi0?c6Bwfu(ItO%A-Y4Tt?l^32JC3S|I;j)WfK*fpzrd-can$L*i
z^hdh{%TP1iZe{#TC#C?=N0j4qRK6A{n+redX$IcctBR89^6=5t;WZW&#Gqn<R-gfO
z{XqYZ>snOr$i8&zt1Ta_wEaIkVKD<MO@ebO)hjdZr0K_X@!*Mavvy@4u(vQi=a8HX
zet+j2bfs|Nn@PN+(m84$?eb_}qRyLEYS=}l3^v&Be&Wux4M-Q*Nc<u!g+{~i!^RQJ
z2q*78B)v$1L*~n~9ApW+RVY55@S6eGYqm98?4%%JOc{SX#UMi%QD<1CgR%V*nYPLl
zl>@;~yRt>FX!A(4GIk4Osw#f_F`9zFQl!#8C4{JV*GcoCwAkYBuuSJm#)HlGPvu<&
zu@M~IncYf*-COQ$*MDe&u6<4Zo-_Oy5+l;F9H7DZZ-lxPE)!UI9$OdB=Yy?_ipz{Q
z4ZaKfNMku@4DrMCVmSwRF;(F*{`V{m^ri}I*IpUH-(pn$kS_tc>IdwimuTSWdE}k0
zx)J<lPARN}@jyRx@4t~Vv^bVx{*3jaAzW%sbX%5k<9ey`TUy&KAbxMqsipSC$G-j(
zM<%#X+_q(GUY!nh+e;a|_8R~~?VkD#oM7j;#yh1&59gqQZn<H7n0NBAy0>%S?AV2a
z98L@{q4`*??yOJcL887J69-%>HY?6&G9o9a>)`n=J&Zp-{<-f2J4h$1`h6ytz{R}W
zu+LTxI$BA)Gep@@%yz?5*qH@)FNYiS_2|OvX0=1yS2i4-WN@J$W<_=KZMLtjy11lu
zA@cJS8!}@gyQiss=MrURF*HfStJI}R6Bc$jNx!w&FyjQ7>xfp@Q4;L_R-d<aWru2<
z^ja7<H>^HemCdu0aOtq3h+ro>=uIOn+qifT;}hhXPUZY5w<{0+?d8DDAK8aFqzFjZ
zc3JzKtqyA1-gaG6=7eZKTwJ0#FF5|u%&9DDW8ll8=mdca8=<lh0mu2^79ezcx>Orx
z>IBaS9&S)d6{Kj}_|eFtdMnCZ8;Z3*rkE?avFx77QXwmdOTnxbKK$CKJT{hf(whgh
zSHt>?3xr^%`|X?Z5D{J%i@)kn_rbyTyP8)`1V=t`lTylw__^L@QnEror$zBjj(4Ik
z9!>tN9!JFZFDXCsX<pd*5%PVmh$DrZ@nhYW2w%r^`=T#=&}Zd{Og$lq%hRF^6WfV+
zMT!*Ep%cLVsf%~}8>H}Cmw)i5IS~;)MPCl<2txeh&}+G8(ijijw%gvCNacrjpUR?z
zP;s2xruI<=GJzF57T!cOrVmgy2Zb@^w@CcGDGML>6i@90BCcn|{Bw5@MeV|!pNlH;
zI4PDga;A=m7oI$lwnJhl^v~@S+pU1y>*e)*n?yXf+RL{bBLU6y*qxWIDB|DR@%2Pc
zZTO@#R;&w2L4nPG>Ha$<(4_w;=IN&PY_MIY<fat5&E)x}xKt3zcu%g|mFi8&f7bub
zN~5~A!7B%<h`FNT*1DpDD-Qc@nulcYO7>5aroS3IR3_AlYDs8aXyB#mlSO=nn6K0!
zb<i`JS)NYSrS_|M>g;nloa`(!S$5ZexzN=+KO^+OBCEE2tzI6HcxiV{OcRo=yp5qz
z`uJ8WSg&_e0j4#+-mO)d7}+CpEdQJV4sJO_5IwC3N>l<xh)xT;GM}iA)*FJsPVx1B
zuGAdnYLwr`p@oe)KiT-7MyT?981t1!86zQ{Uh7kuU{9_#JFjAb>yoirA=F-I+Z-6^
z+^vb>4$B(~d&%GrxooVWqXNSh?zO~B4aD*3{>sZYg}G}jbKW@>%nt;YHwUXDZ<a_q
z^_YT{lRK+M+f?xOhAeB@x+*>l6|(RK0=J6vp6Ye0K<?$r>>Ya*h%((fK^UU)d_`ai
z-)$B6JyD5h*slavZ?TK}$YwCVd(OhmQw7#{1jEJmC}5}{#Qn_~GiX&9Ty-2(1}kYy
zEDLgIzhu0R?wJ{)E4v>(G*(96S(BIS!ZL8Nc=YP(XEWsOdpr^op@e0_+Dj!1lF+R6
z5!d}~2D&6iWS>!l^{;XJ>M>EQNhzx+&6;81>*7X1I@MFM!uk@qgkbLbUNNG}43jLb
zl{X^fF;oA^?A3Wb96NTKJG#US`fLyNI(EoG(k)@?!eJhq7E%s)v)2qR^XGRh%gW+4
zM^UCk00&$-s>Ow6%rLwdMtZO$jd<sxq=I|QIQ(BzQQKSKK*pfzLWdND#uujaTIliq
zLGut-BDH_hX$qHZB#~b!d-(ThTBM5RC(bDW+I)N4|Kk&fW<k3k$J{2x!L56SyO4sc
zyW7MjRz=``B!7dOZjG{3z<kwx(iE>emwFmEg<zv>#StXCO!4F7jDD?birM^}78hz>
z@M)F`eNbPbRQxqy5ez58w%BT=^dLVn9~X18(k@c2pL}EM)o6mH1pjw8hj^ivud&TF
zZh_Jel{*;CXo7^jHC>ku5ujbKZL&XOff62nz?;j}7@Ajmk{RWBFeKedisM+MoO^Yq
zF22GDK9f>k`DwV3T1_A3xv)riLYw8!L2Cr{_K>rT>m1PE&SXPU{X+?vv2q#pHiSed
zMZQ#@9a}c!dXJPZQ`#e216Z33P+X}pRDYipD`Gc>f_zpf6%2{bbEOSnx+83SBA5lg
ztiBa3TdY&KJ>oy4XXqp2`knAcuFP<iKVjqRzDb!f=cpZB)`L@G8STt*CfwflVb|-6
z|0oAFh!wdZR1SP&dvyoZi_W{-1edPSpgH)NPR*z;g89sd><)~0<CXo9-*gK^ZauTp
z@YKb+f8VwEbp{;S`1QNw5*>c?yh!BxKtkbi@L}(M2D~Xsex&h_9&PPc-yiZO;qXbW
zoQggMB-QRtmyKsc+_J?Ln<*V|J-ns+e31dZi$h^{0?b&@SW{~X(}7%iU``O35rIEf
zj9$01fO+SWFH^KSFdU11o>#$$w}v-*l`gVjJj+z<bFMZXT39)^889KXH3VF79Jrm8
zBmGTV8-)6DjiRqixT<5c9-G01J9=t$8gGc`N${s5wJ?KMDg(WrxN)%0E_~rQ5lbU6
zOP?OHV6-J^C5V*(M*gt$3^^ilei=?u`dLxb&Dq~#$BTy*8?7$yv`|aDMrT1_N0>`*
z+|4pRET=!Y_bf{boz2ZH{Kq-arJrOtB`knfp)#s_9JEmINGMg5feSo>v2QJI3BrHr
zjNnUtEgZhR=SGwdH}3o7s3hzZ##&U#E&onU47eGdzirQhW4Cq@wZuj7k=d<b@}wrD
zzsL><Qa!7|t-tRvqd3OwwZ3gyXyVVcvRn1xyy(mQo4J)o5<j*&B~8d^LUG+<I=P$=
z2jo7)J}#2NoPWszr-&w&i3NxE{ox1C@S9^#pG)Hy>+G7Nx+X}UAKupV6U1w~X>!n}
z46Nz;y<hriLMEc*Li~gf4hGspPguyoMWvMU^8;$W{^!?ImmmTfn;maHT#?7;=Tn?o
zLR#?QRCRu1C<c!`PGRbs3UDj!x*>2t3u3!wNZuS0IGpdjI!NW^=A_f1!~rclN`G-j
zXH61*K~INYd{73<9fgz(cOr;!Y8{6Eq!4Q4{r>KDRiwUeSmRzMV)qxKO$nO}gn2z}
zMjxobiCcI1=zVS6oc(ajK}r^jLv?p8xHTYZGO0k5se}5tmaHNpIXo_=@o?CwiTQ5p
zl3mFp47z!Q6W!$TG=fx|VW@>jiJ}Q|fi430{~nqMS3pATqnVx>EqqabcHOU657kkN
z|DL5NLXy$-f&x1cbB>1p(MT9zMqui+)>$QF6xX?Ir*c5wk72{tNrpIR&G7b9qB5ET
zA9#c~5RuTdm#ur*2qWXe!NNW&$hq=Sp-PpAG;fzs95q3zr-vPzkSYS-w<vZ|=gi%0
zuh`meGC22?2NUk9LcgzzKAAdCZc{?OH31aR(dD+O^QvKmGS5L!qRzoLvR1Dj@KFAf
z!G3Es6w3QN4scb+>_T*M;U-Wibn?74_4&h{w`e;^s@UCcWte>04BpG==HyXB{te}x
z(6>tPm~N1+{bPoYGi~&%rK(sqp4BX|QNU-*z_~NF=J2@`z-UgRit)mO`AWBCp|>$q
z-+#&+MQ5$w(W<N9#-Z}*TsCR^Sz_N_Q*4fs3}dTl4P|^kly>6(|K)=By4B^BnB!hn
zmrXCb68hUp?f)7Ifg#$Tb0N(f1(Ta2UOfsh=}WF|dCLncuKvb3FLNku%Vs_rBM<ww
zuipzhxG=nW=n=oTIcnogiYG+n;3#8%{P{F9Wd6vyuJ=-V%K2OP{6iUxbx#|(GSETp
zufH+ZaWhQJa$4!_ltzi-8Ida{8<ZHK0f}HCGsr8(+0}lR#P{yNv{M#~l%{97GL^N!
zS=vcc(e2`>vO8MJ^!pp-iHs2^haJF_|L8JDy9h>~Ygd>!O;F_5)mD<)Dd5}k;1pr6
z5cr}yBU#S8qwKd0snl6A#qXqA{ta~jutvxy+E;Z@X0B~x<X12SM?Kj|Oo|U@#kWU=
z8~jI^Wnk!!_9Wwo>mkVmG694p)a^B^qFj^v`hM$06PP%h^ies@jleUrqleQgC}CRZ
zL4W#;!Jf1yH+P-`qHN-lyX5avmffoM4N|>Z#Om+;Zz^mM`BFE>f3b;D6k|28#oGv}
zH3?~1HOy%A-o94)ww+?{)mk4`VF;%1UVphHMmX@klkRfrqlig6>}RF=&Rmmj?{Y3Z
z7@o5V$xRGUl*iV}Dt8)y@X}gc{pS{tOg^wi{rX6mR1nnEsn$o{Yvv2z;%Tuucbc|P
zZJbi(*^_*PM;|GjW*)KDG>8jKnl(wDq7<%M*;z#C;g{l6#`DvEDR<kJ40M)fC^t<k
z>rRd9;xcpd-w%Tu6c74=QxS>ZD6Z!}n{qko;%PdITYUUFWirpfq*?kGMeI`#Pe&^W
z)!pP>jS*{<qLKcx?1R546ID;dat%qi{!{Fi^SxEd(4MJM`&|o^pCzXV0S|Og>C!s&
zPHmO)ET)Ia(|(Ea-|>835gi>Q{0=#nH?u<FnckmS?zT+nu;Y=es?&zk)$eR~KCVzw
zXJ7Ar6tzkTt0$=QnrP$upVq2jhE>Y#&4QG)nsth$UY3!0I}vM-uP0OotWv%bUvy`%
z{H4S$6|)$)5FxgO;_0@qO1W5f#l_Z~210b^PnSMx;g4oHp`vz;@;GZPV(}s^{s#a6
z|Nj)1cRbbq7su@p;o3Xbx?Jvc@3rSWTttK<nQ17I8DAk9sHiBEQZgbk8WgGUd8aa3
zlrpli%P4z~pWmPF^LYR9dY^ON=XIW$FNzMIKTUy6<8=|){8jqEl4{rWH5S-cGj@1H
zm;&XI$~jH%*62>f7@xvfHmE16{`B|OfPttV$VqgAUbF1^s9%-?!bV=^2^W&#={0GC
zm5fcggtg@p{XR~xOPburF+&21E`R2mhfF{?H{H|nmK##9H=Mj>u@!fg_PL+U3^Tc7
zG6^j_AZ>YvPwT!q+)YW~=6}Wl!pnRjG2DER*s}leVJ>wjnq+o(J;Vxb?%(V$=nFva
z5&O2r2sKc#z+KPMVF#Pnf6E6GaFEm5e2_9ngkQNGwKK&W;PkGp3+4qu{$SJdq|-zQ
z^E%6`Y0d?@d_JG0&I`k+w$Chw01<}UZ1W`8w}EWW-A*<QQE;#+)>tc7h4njUw`WfA
zz}^|Jf;47vuyJaCC2&j?cpV(>4{zzSIiywTvMK=qOpE8W)l^|YR`fQ3C;$^>B&8-<
zX()U@cJMiyDo{HzLyLTIAaurxQz1|m&VE=X8qKS~>8h#+#_t8eJ+#{*|35i6;2u3Q
zv8e)A9XC22m<U6^TG2qmM?ADUKK*z^MHO5+E}LC%7Xj-%0^W7{3h-uQXV<%vs(=;m
z&y7tHgY&k<gS#<BNI4fd{bo=VM7rk}YXc;p-gwuI<L=5(SLUOC_Z$(1*o|A{0;HfU
z07sDGRe_w9$or!9YVhV|{qN~(GBA}@SE>C)6;8N!7WnQ{hr$@oz=|I`U}wT+HQPNk
zsN4OFTi^}}&WL%w43ou!Nz-gG^GOm+gxKv)RM3D^a(fHC4#~shdBLg+<{IF8X;yi4
ztKXUwWNscSQvkIY(vx@b6ky}R-?U1m!cy(~<O4iPfamUL!d$6f=zj)x<^v6uxb$<G
zPAJ0(yHolU2^vU@?7XQ()q-O6-s+DZ2+-rts=NM@20nyF5yv;$ps(;HX<k7UgnYOP
z9B7&#+28-;@+n<7s=xT+WFQd+&6Rd5M`(h%Q}Cmy-TDwCnMm4^s|H=JmCuD^HDN|u
z`Sn9XL&zA_{l2|i9Yjto3R_xf!r{cE$w4h+$QSmjWw}LyuhI^=3GZpprop?YrACJf
zTvO%3mSiySIl^hTw57k>bwc$LK*jbBbH7S5)Qk<r`3zFvicA!GaLg1;B#Hz!evx5w
z2Zu<8v<6sr{aIgDGXr0d&qwXwkb%|wIz5eB9oWuB7@4-1K}BNRp22-&@Yv5HqExB^
zJe10(VRj5qco3>{Hirb(FRzS0QdR;s)8tPBc?{5x{<j}jpblYl`*3n59)wfp&74~p
z5V5}3c2}Sp6pbf3i?~TcPQgx<KR+1Y-+fVTiG>I()$@wozeS+b;!#{`6$6|<$?Y=^
zQh~#ADap>;1)#Oi|9fH#17<&Hzd*Ihz~M4F_p**1%zdJra)=DLPFj5MZ%q-bm)#}V
z-Y(NIlg#5K@6F&@DtDo`mIAQgwzFw<4byXJVt;T>W}x||f$4N09$ZdM<S?z5VfdJg
z{@9<UV9t*6cO2UR<$)7AM=Xc2Z+pG=w|baDqx`neHUVjHK>LSBeoterj<4iadjN(E
zJ~gC_hy#~=2@+#0Vp0Q99m)p*dKCv`CMQLJB5RuM!n%qnIjiDInzrh7+bMXHC<I32
z&!b1e*Rhik=e6cLP2fRCNM&ud0C@1d4M^+Xz&dYKj~dSygX61fgH5-2AwBo@+b8EY
zv1duTIctK(U{12RobAO03t8pbPcLu9zXWZV7#TsjHuYEOH8xN?Vp}Y#vWflL=UDS4
zz!2&PssSnr%rFu7ET|x61C#r(F}=Ic03>TB=k6%4(Ye|OGIu^)$2jgEk+%7*53lM8
z9&u$0^kyp}=Thw&rka`j%#NZDBh^PJAKRzt?(gy<D_d8wdA@IG@QfZj8=4og5gw;I
z2Mefp&aGfvlJi5Et-9bXbw)-dbda9uZTa`8+6vaa$KaPJSr-oT{Q8oApp&jo<U5~!
zZW)_ZO89R%Ne6U89zQLt_&_f#AMCxcyo5P!Ua(r6(T3ZR`!%?Y9?<<eNEeUZS;8Xd
z<|>~(v|%OiZuy?l*O;HrP|A;^OBmj5Q^@qA7Ub`*|HvcQj4AaFiMM(#VIh_|>Ua|^
z_~=kH+ve7e-7SAeu8dp4k|Yhw%_=m(-}#P6&V^nqXY@gRbjK1l$bERnd5R{8?kjwp
ze{%qn&cKpZJ(e-j0XR|fga)=(LP*CehOv<t_S@`&D_HK;f&Y4FTmQ1{Ys{{vzp=E$
ze~DL@R<P&X{aGJhQsKq0F#o=^am?{FJbr~+!}>3aT?jX)LPd^kRhr*l%sIeOhs$dn
z%jwUaZ23lk*IrzeSvgbK%)x+i+kp-2vE$X2uig~6Am+90ufPnZJ$(M_h#eEk(NGup
zGp7M`=DivES7x!+DdqsBUCc->dfewEK?6L#Yn^ozp2y}><g((uSx`kqs^P9fWH>fn
zzBu-D0sGeWTKR7_EAna&nZ9_R1PWH8wuM`H^s6;Ic58zTZCC2pV>_-6aV??KB;6Iv
zlQWCX9>;-P@f8`L4b|bc27kQ{aSh{nMNZ?Va3S9#xHbD5YS2#lb18$dfkikgQir&<
zp$FZMACl&YFlDj%m}Jg`%t?j<+&ErzNW{~>^8gWg4?la+bA}m7FbH9uwtPrtriNwk
zt137pq>{3~v!F=Xig#DN1kg7oWvw+kRk(7LUDd;i4Ly>y85yp`p-#(N-5YHx5MW#O
zlGwwJ9L&2*ipWBU=>YS}te*-TU;jF7pU#Q2>)mGknuHNSPrC2_{*x?rE6DT|H?q4k
z$l8%8iefD#@)utd;I)3uV167Ax>1;0`}m|diU`pj-WyE-7_%L-#kQl9u6cze7bOus
z+2xCqJpr^ArPU<F1W*w3LEV#$(&*v0Hs?590<c+CAJ_83A(hRfB!7b)h)mk&-L(}T
z8QlAvqe~F!G~SbQ_$P<D26C)_?j>x^ORxLsCxp?(p(~vR?(&FI9$tC%8UgH_myN#4
zh@ysj3vs&r3P?MYP<ZDb0c<F#Mki;*w$7*LhR-RX=PzW)_K_+OCzbbXXi@?lHBGML
z(I+4$96M(QO%>!a`D!Kkq|p=gkz#vJRWzS<^6e&`2xC95{B(1YMStlbnSVx!Xj_`R
zc!Hf81aQ2XXF4c{rdd$5^$&GqmdO-<4pWD$m*h{Gg?RMrr+v`N1~NL=({q*_O@`iS
zaURD_d6d{HM~ro&pzMPU+lwtI@MBh!cFtQ7xy4H<iCIxmv~&J7M&wri4=F?)YgIy(
z)QZp|MH<@i*<82eCk=EW$8?u138=xh*QS4jhHh*9X_E8Pf`)rmPIXl(NI&<Aq)EIc
z3J7cc)2O5a&!=N%e#jBgU5ktRu1#yAf}37L65M)QbGf{J_&+riP<qa<TtN%j?TFMn
z#A^U1-kbq3kJM2zCqC$gfEKctYL<yrGy+9y8RwvC5?U?_96S0{6HWdTj}Ty(z&jVu
z{?J=wL@d=+?%JRse(R3elWG7xqXS~Ini?qP=8(1N+Sa?KKO|-;n?gbdA#o%@1HH_-
z+(CFuK_{*z8Rc@D0ZaDl50%$6kc&v?$|n;tTKMcEH22XA@|J^d%$RGSoQcuM`dT9D
z92Z(?JH~*S?Bib8Lo%uqQ0%v7CZH~Ap)zY51O991tDLMQA*voDmW`}{YFG7pIK|BY
zQwUuuNmfVL(6Wqln=E=avxn7`Y!1SI^v(?7)sUl`aNz!DVyITaL@!9%9GY)wHyn;v
zMc-^)c3&mn5LdtJ+wH#@AU}Cx??4>^b-P`^V^qR{d>J7kNw*kq_&xh=l`$psfe_Br
zX|jxoKdutHMP&e)xBCKvLlOOr^&Y+a;TIMxmb@*Z+6+XrELm6a@~Hg%3R9!&4?6eN
z>Vhg`Gq|X))E!|dhb+xz6Y905=&ywa<Nv%g1-BPoW#$Xg$i$DC7MHk0kENV(yQO6c
z%I*JM)x08sdUZn@n9DZk1U=_5_oo1iItP}QdqvT*Z;B~zJTo*rzLl~`-ty&78G6G`
zLdYcgUBRAN7LdF8Q=V~z4zab7RJ#-bbm)kk4E_r%Xo&b7Kp`ezK!~p76yil$LEa_a
zx@>SOhf{qy(HJHzf4i+maH6okH*=<J*<ecAh&Ekf1WkF8qZ|&bD22sUtdhV6>2f)f
z?(K%a3qw^S3Y%E)gYO#TZdTBd>(Ik^3?b~BUTkyV5+?O}TlTLgR&cqO`{at10i;IP
zIur%ZV43!PDl-DCVB7kDg_NWZO<L}Ow$w4~b%+`M$wL-Mm-?nH+^GjMy$0P+N`7Jf
zbLDP4yI8>UpIUT{njS>k_7?dZXu%fFEBgwsGDGvrB>rddx<CoEP%%A~h8Zug?b(Nz
zp~b34AbC&+;!AsWkt!PLKGif9^?S^4a)Co<VW$po+<DWjlhQ$#o@9A~yTJ_E;<&Fl
zW!fODF*?BcwV&Q~(Zj2~fEn)eH6+{1X+tdMwz7b}5&GE8F5QkcW_WC6L2ORbf{48G
zUFh;S{e1N5pu7?baJ!8dEbwRnHHhy!{`WsR)35A^yQwVjzKMgDpP&gW@mD-z*=Ohv
zobIuR$+1GSs#O}|)`a^h8K{V5j^3_e))KN+uc9N*P8eLHfw;yWgD<o5^iS_MymGVH
zU@|70i)(97=YO%BmHlgxuD<KUtGX0+SXK<3P%fl`q~M|RyIYp&yE;O<l!`bYe%o!<
zOnoZUY;Lk=HLcPgc{n|C9^r(?Z!?9$S}5@BsTLbs>pJ~+b>E_b4L1lGw)?$1K>@Cy
zb6U@5Ht7Whk1pnSZiCRhJDW>*C}3f>aMMGK8H#wl9va->g}c2IhYJsCK)1K{a;zl_
zDBLsQOpoD%>)Z(rgU`sY&)Dbu+eB8#KH%KtYAXO)k+Kn~I5K20{A<OB*udcEvQS_c
z4peI*a2`=4sCHk*C%A9`!s9KPs{}!H-X(_jpE_LpdT~Etj1z?F%R;=RgrU$<Pvma!
zmS3;<667+u;dX4qA}LD*f}dEmQJB=B?(k}Ac?b`%T0VJe#1I3jdF(%pY&DP$H>uGI
z+zuNjidYJGB_O#)fnv19Wf%Bs1O;yLgP?S{{mC^+I99^RFc(w<57(bDJ#zve=Kqj-
zNmvHN`G*s(j1hr0aZ9pYR}f5i9L^*<?*KYawbApRMCdtu!h?8IXp2LS#&q?|!JCVk
z&P~HaFpK32iQ*H1XX_KM+{p64<hS9llV1&j4cPOn9*9Dum33|Lbp^;=EzOX3-_nz8
zgZkXWf#wz*rNE^Gb#-N3O`p}EXM0_eK1C8<c<-Qir76R~yvRnpzdEcgmwEIkNdr3n
z+>D)~0_XUTQ%)I@fbC1nYNeqp>?-)amh@8<@Yvy~Bc^1q*gW2NQcn(4X3P&TC#!+C
z*r|_MaT=g^SlH^#Aw00@32;|1NRW-M_w0$IKxmoM8s)Y;B>bGh3Cxm#p~$xTpf44~
zca2&2bSl96(OpNLSW%#KsH|px7!7I<+d3=AE5Y|EdA<QIDm=6}d~M>vR-YR<UzQ70
z29vef?$UB9M7py764=<{O<l7B<|+cLwfE&V8q=VlC(c0Zv<~zN*{ItrZ~1)W276d8
z4Yr-VS!W}m2gRwLA47>mNPjZkw)&k0g=fE?$^NDfuPHzBa11r*$lC}BZlOWC@u|qD
zEJJX$3UN?1PzMe2agLZI8l1aJ*Zvq{3<r|vz1bXFd5Um6YR$EEf8%NPF*+TJ-@l=K
z%q9U&```!zs8H0U*my7+Ktf3OlE?-Ld|2<iF4m)fn5eVZnVqK4{N7poz7!cSY8T_c
zGzmW0M&#gDOu;{;`(O7Q2^|0UmFS47!P6qAG^1oQP@LOyr!Rp7U519&msSX%>9TgV
zVbct-MW!1Wo$7EP?XE<7jUsT$+uVt<Wq|8)SjzKpH7L)|*LI1)gM^+{y=52!2!i9g
z^y-Q5`-)|~bBQ!ONobAVh}cq0D->P}QH3w3>}&*TMB$n3e2>rp28f^ia%**o0KHXb
zqn_-=!Q8cW87>tD<i@;bD>$kQ_~_+bQ@q@;=+19G++_w0W$eyIb&3$xd124dH%#!G
zPwMfTGiE?u@iN#gt^ie?{Eys|X6aQtqw-!NW*`)(!RH)|hs`HGhfW*(qCdp1&5z}o
z0>^8eaG|^%KsnVYoy7SRGc!9o+Cwsh4@Os5L*t}Dt>bym3-Mo=XTsv|`3islvR7Z(
zWeI3W`*17j&KPzo?Si<O2>_A2@tlZ>!h&(Tef+j*EF$a3$jR$;U~LVyoK+MCpFMW+
z^n_W=R&JJ3T4Vx`lQumlwK(Weca(X;Hji1pm54snWDI$&a!sA0{IK7x;oWBCJXX1!
zXQ4S|1Z@ohDP3YbAQ?htw11h$$}hcjc9%5*u91Jl_0ybCd{KQkGHf2xm^_{IWv?Mr
zg^ynLHDLq)?;|NzO>>xVKYO0@bp!aMs`qb?D>D!qOTGmEp2ggAJXZ2s^?_sCkCEF~
z*Xj35=fcZIXRuH6ZZ%#q`tYd!yDO|O(LK2&Eb$%F*zU?#SBU|7AWbj7!Mr#}H<%`t
zj@M6Nc8$k|O6qi>ob&9rQ~uL*4F?(g>gj)2tS6Jwbs1d{o!58w&7GiMPG(R|5+|`T
zi4mqNF<X1%>TTm5@+kfGt&zxCY#jS?t)YAWfHtJ2=ZBm44bZz6KV*m!#;{4<2UlO(
zXaidvX?0I@H(j;w+d00szp+WRSCx@3wO~f{Z$}^L2VL2>N!=lR6#Fw#x&64B7Bt0O
zhz+^?nf~KjF%0L9U^=m*=UsC(;ZlZUcpRgSp0{g|`g3>~a}*{=6QneuVqbTx!tJMY
z)AujZZyg%OBGg$)Pj1sdK;1y#x70~&!g!%mRe0<E@qe=|TYgu(mReBBUWP@)U$Bf?
z8^Z9Lp1*>!sBk8EZe{H_h6%4ob4N=IW6~YzyF!$y;M?CyShA_dmY0@7?fr%^0^5Vw
z>M{y+ZF`rUbm9~CZv9HE=igz>F!EZe0Z`z@%Z?Yk5?`^<(F=P69*kh*p(6RxJPr6^
z!8uXa(~4D+I{7NDjbeG#ja&<#$WWW<^fc#s8}>qeGIaFOZ|wEi<9A7GBuJjfI_GTM
ziSaqNNzj?cuqbDxT@)$_kjBlSH-EdZv!kQ*ge&8iWza?4-V^Fjd#hDe_DL^RP*FXq
zYCnmMUs~8JS*iw)y>*tv-~GZOOx(Yb?f+r&{a3Gkm?pvx?>k;KrUTfoy01Zn4O7_Z
z@>0GIBO+|Wx7QGV3}TAT7c<wmXE6WQ5%)EcRKXf|q)jkx7^8HuH*18<Vq-=!JL(2h
zVDP)sMPr9iY<GbERa2&UjDh1@k2h8UNryq)UDH1pH~ElC?yCi?C?}04^d14+7;DPT
z9^+WFqg$I+{t|Xv)88S9g#ZrOgr?yKlh|E1p5nuAR<N&g6B6D2%J9wZUkSh96ecq<
zlqM;*j_C)i?+)%(g4f$v0`mi>F=v6GJ^jU-m_KI<%h5es{uUe6FETNM@klJl1)4IW
z*VA)>{T~&9>wdbRaPl11cjnl}-)}5PTOiy@%2pA=zeMiKcUi#PIK``8Cb6OKd+y}8
zep7&!<D&^`4og_E#HaM7|2PmOCERQ2fC6wP3FbsZu3)1N3N_$57s_l(jr5<92VS8<
z_vX$u?4n(h<IVnUC_mqd!#YVGu8sI|%!Y4br7iT~kf80T>Rjj{3yM7OtjC_Zt;UQF
zneomI?hruhot}y2-FO%!n@Cn57F0yv+j_1PhYSy<{_{-5Lzu)4rQ|bP{NB*gx^Ykl
z4VhFdj_$=nZIgbfrY{HTx}F0prXpxZtmmP4c|7dD(3Qt^feUSXyvF73Acl5Ier+Q&
z;XzuJW8zKQHsouk=rf-xfi~K9H1GZ=2WQtknhqV=j=acor|Nj6k!G`N=ldBscu4=O
zCMGU`(#v?4Z@!U5KV&TR`T6kBL{Giskc&e`p53ESKjqM4&H0es7I<jm<qKDK5JDPS
zPS?l7<k6Uf{(#RtJm5YE;yef<=v{gshdfmg^&+8uytF*%;<B1jRmG4>t@6&3{L1K<
zU>l~<C=Y8V4!l!zl|VWJU59D>D(GP`rO>=c0Z!AhtY=<GA>(&@dtJ#y<QD1YCe)}1
z4jldIJ9f&VFRu!J^Z2Tx^gGfQ^~uVR;+0`_FisAgk~Fs4{*sLBUYMNOHbQ`77A|&G
zD|pl~KuEcHnSx}O2U65lRDn<E<j(O+3TQ}-UT0TDMKAmAsm_F{gJM|oPaYK|WH}s_
zXxu|X8{G*~VO|<gS9!KIr%f4Ml=Cfk{8tmbVo8kMagYiU`TyPVNK!%SOhW&a^=Tm=
zzdZXc+pRekLrfcB5K&!06?P<78+}YVttJ+x4W;Euyv6_25N|KFAzwiURc5jKFE#5z
z{GGOTTs#RK3wO;lch*7wUTXH%?=yhmlCSbrGh{UO%2c|HsDpO$t_6k78-c<N-`9eo
z6f~IHewry=8!eByRea2#!_GVhC7<gQRFmz*$)Bc$<U+nKV8W)*@^p@m+)qLMJnM;c
zMNL#WKCmmp+zjw<6Vk7;P*G(8p5M!fiq1HchvDrRP-FHXIB$xAI{O4(B>9ukHZ%Kw
z%PQuuEem_WUra%Pi$ab@^{R+F-f;*1gE<&_)zFnG6oljPVqX2Lh^lh}{QAij@OQI<
z{9?NXI(z?xzKEP03T*$%zum<GWG_giygW`qsrg(j@)BZboMkxZ+%5}fJI)VX=hP6h
zcGJPRknJc9Uo#=XX94w+GqKJ-s;Jp7@%Uw@b?jrc4QXGgIcU6Xz4U-YKv$F36>ToG
zU_TH4cblkT4o;-tYt}=GsJTcD`&c+d?;-gw_hmDnnqF=BJ3}5-FNDO+Wi!E$roUPU
z2Ll`kH(TDj$)VydH_mKMPRO;ZR5J241Ggxp0EI)+DAlE|qvj(IGzZe8Rz8`+!7jY;
zZ*y^kdC6z&q4I;!x>CjOEgpCIep&a5pYRr^X9(2R2!Q|4_d%XK0Ch#tW2jvKxhIFe
z9SX&PNAW|qaB+b3${5!^86H$QMR!qd!+}tqPO+pK9WJ*Y+xc+^JL>Un43AsI!H?m9
zr*T>)&<kCkzaHAeT%Jof;1+S<VDen&w5>5Loai>#NSnvr(T-a?cHp3-F2I)Sq!DBh
z9=V^t^atbg(0X4~f`fV~<r<-ULtqNY<JJsm#aIihPq#(k06WfXda>UCnA8{eAHID<
ze=BTr%4atY?7|;3yQvxgU2}e!PrjdSIM`RIq>6*Lk8G14M(KlXZMg37OB3|2MWRr!
zAP$i5HL1eydQjvLwkdLKmToWh$|8{$2X5DLY@g`p!Ctbu&qv-Rx&Uo{p+f=(0vi55
z^>cI~Wsfnxh0PlM%XbmL8{t4smcr2^pbG)%xz=qGOwemzrCPkjeOJH54_YVaK&V#V
z_P}vwaJ?g+<^2u^AFe!mZq1<suZ#0tsrOmoR#l}8hq@rh&UM~?eOVirmlfYyS+K*6
zG>^TqrGk)l`%7u6h&FWPk}mD+;sE8d(f<)Fgy37&ddc?!E$DZ*8PM_L0{?_()YL^G
zs5xaJm|>y?u|YC=_ZPY0#KODE&u@jnuJTzGSC1y-nvofK2|OUC;bm=GECLdY)d9~~
zO@L#$C6oB=5EXp0G`>U>rZ|aZLu5@THrO81*}w-m%p(`38pO8t@ROsf12i~4@{mP`
zE&we@2i|isNq}j{%Bn~<4H{duU7jf7pp3!HqVFULC4c(%zdAyL5w-i(I8i}BZpx{>
z@1&qE==Af8R2t~AnK5RCg}_^8l|*rrf$G%8Qxt9*-23y>tX^IiDDgZMlr>qnmf|^f
zVVnxajS3IjKm_IvzwNg<BnKDPI7NdxsW9DeLjXxYw!gz7SQH`*Y(3l^@sMs%wf%1^
z6)3`UmQ3YhVERcitkgjs2zp<3%XU-YhMd34D-H>e@uLOXyDLDnKtMBXmI^Z+RI8pq
zNst$Jj~NSAgd5uo_nwrbK_nfw5j7?SYY7HR_pd2|-qPS6>RuZ3lW$HNM9Ki?GH(!j
zg)$uYwfk>l77e5mVtUObcYyfS(W{d^1ZevtWOR9h279FKFA5)%1MjDIYlApcq4}n!
z)}v5OsQe~>`iLbS#+ZX-8&tRW@A!PH!KNlKQtp1pP?v{_D{8DZW@=DI{Z5?8)q*k1
z@@|W$0$4alI|o~<gSkDrrQ)Ftwg$CNAFwDw<Y1p)mo5pg=&z&#k`7#nc3{_@RD|Qc
zed?Fk$?zy;iF8gx7nr)Vr^H&7;2P!c6nill!fA~~b2vSS;Ts!1@l+Xpee62bE3E-}
z%`6!<a{BN;00030{|r}mIM#m@wfEk8@7H+k?R#EirD23hQK?iaQc`3^$tXpl#jnyL
zG>DA%t5TxOGLo`InGIV%|DNYQ&wW1U-h0mHtTp-F&>y1?=kt6YS-kYnu4n%2rIiJ4
zXh|IYN@yVYNx}8~>-F&4^U3(RotCH<-O+yKy9RX6U%YpnK@V?q+F9F^t?=nIWy~#1
z6Xnw<mHqbVVoqv}D(@3(%(HKCzC5UjDPf@;qeLBOTgIN`YqUYgQ?A`1dRnON<9+wS
zPaCYcf$uJM64;P9v8T#I3nFgs8{YlVLU~U}-rC)OmfW8m?i;l5{iX07XAeyjeFztu
zXapuA|542pwJ^V4P`cu@I+9Gce7L1X!wswP0Qx&kgy{-cL}jQ#@T!US)%`TA%wH*p
zchLk>FuD0hx-y)1<t%^BrlDj-aKQJj2KcUBh}oK^h&zSMT#nCZIJfTi0HseI9eV}*
zPwC3z$IUJ5DKBWSNE-k6@Shskyc+kH1WLnL@&#B5X(-I@uvcMM!>xkP^@;uBxaKf$
zASI24cb%U_be2^BKbHGO4@F?GX<^ngfQHhlkR1OJWw=!r#4pwfqRZ-D$ukNK%$(8I
zstrnzAJ89MIKzjk|7QFdM}a+gl=#R;iV(VLqg!mmh4>pE>w|9sCW;I-y_XcwocV3x
z%Vjor8-2)TUJqn9nc4cS$YDNJ|4w)=GoC8k@|c++a49J(mi9viXSIZ<tQ{Gl?RDQF
z)1E-*(%E$>(^81Nc=3Sb-xb2A@YL6B={692lw7SLDv2jHx3)|AED`?9>9!_)){rTE
z^!1yMID)8$rlc<~5U1;B+-~Yw<L@qMwa98wu%@Qbye`ZW?5Vng&!es2Ia91M;UI$W
zI{AftlzGC<HfPDF)e`M7@1KOs2w}aRj@{tKd16m!$}?#VOFTX8OMgrXqKrMkFnnyD
z5IoPI9~5hW!T)TIjTQ@F<3{~iw&4Zh$%VXK8DGtjWFRob9M6wZsVHiK(GtOvS9qhA
zFvqD9Zo1D9FAO{vS?b>{6Z)NvY6^K~$Z7giHyOu++HbVoZrA@2G2S)u<$Pw~1yNVG
znH!9*w_PJ!84w@*VC80{DJm8tSO)fR;f>W(=53RV;E5HS{xV^L@egw`o9=N!SAF=E
zu`)A8hfDUJ+HC@p;hE1nBsj5yspbI=vY@9pj4h?t7@l`MGvl6fAYZP@>%a$AsODYQ
z5cfC6u`=OH$Kp7kA85P9#-1Iv{hA8;gGTsPNO!e6&H<`>@13`;9QZI+wSGFt2*o1h
z=j}2$P`u|&%h{7$sQdCs@7RJNVgipW$aiwUwCD8C9o9UcT6XT~OEHAClKc2a8Yk$~
zE%vFhe7Ko!`E93)A^hYS*d8}?!f(fpfY*Ei$XooyNv$!!#rne+JmR^qR&c6-T|p4#
z-UCS5WdQNup@j#&-0*+QWyoePgrtYO-gIsQR9o(g`nj10iQf<MIz<ZOjNZX5lo$Fq
zZR63I9m$JS>Nf2i^&+^|XqsekSRY!^vC2nk`JmpzM2_l-p&`FM_5ej6Cuqw~Wl{n#
z_by;NR=B!f8bcXwlT@s~6+GNGEP%A4-k%AMl6Y(}<awoniljs48~fi1;;xfVd(4s)
zCLL?_7%x(x*qwu8)k2utP}`Q>D1&Az4uRlcD*QQb6>e`3#xs%3@ak$gJm7BZ7}!F^
z6~lcTJ10d@#h!0fwMPL=YxQDIxlxh0Tg=atB8CyAM7aZ}6p_}na3N;XDozoVjEWY=
z%VvK!@!Lu`b2B{FBan(?RnadBeoElmU`07ohcbqLd`^u@rXt5bVbk&vDR|ZoQ-{P=
zVb-!!?><Sz%efglFCiIdZ@7K2ahDo?wR)dE&#8};trp|D^|E-{e_4vPOdX%c&s|vB
ztB)_wyt9L|<>9z6dB0yk6FS#jJYV$aBRus*rzTwibMI@`Jl&^-_oZBEVL=A)l<(1z
ztx$vvdATI3k^+wt;WiIM4KaGvj=#2A32yebGT}@*_!T!t9QtgC1oeQ7S8tV})jh2<
zXP}ECie(#oDvYpg!6!nhO$Cj!Ly1@H^<dbmmTp~UjA4_LSqeR>U`ZLw4H2W_+L3K}
z49zAe4!`6P-KPd+*6jWJS9yQV8#BL!!3=Wo#|~O{tHbEruf<0XsgRb4Nhw-mjtp;W
zo%gRbVDF&R&bi9VsnGw5Cazk*`DN}7yDUwN36<IN7EnPL_*~AIx5ReiU4~~@ec{d3
z#PFyCRNOvQ5Ye#N8j1b;Gp-M6!R|P%D05y9M&b@e&!5<U^_aK&iW>#rujG`}le)OE
z^QZCH0)d&IKBM!OD3Hipr#GR$%0o8yv8W8-pUjCmjyn`IcwAdo??pjJ*fRzhDH^6U
zEaRk4Q}DHv=B{R~37Os+>dmB8+^po+dp!!S<*505`=f?=37&&a1FQJk*@<KMTKLpX
zT)dyIf|DC+9AlJhv3|owVYzut)WtUk<Y+1(#dr7iua35O6He}2E31i-+fEnWr^}<k
zVIoJ~(-wo1td*s*8n~JMt8$D(8ioPuO&6VPvF%M~;RJ&^DpMY*C%hL!`vK0>Aq`u+
zZ|_U~^+6R0*5i)3(?SRm)~u`lOT*D&aCaoDAZ-4wYB&c!@+w6e>Pu+wxFz#xFHITZ
z{p9RpVNU$XJiBitkcP}fpA8eg714FHdRHe43w$O1JLDov!{VqH=W@ORPR5*PGQInc
zuxyzcp*;tlJW6JK&@Kn3wWe?1eVro?FA5fmc>@aRF4W?KG6;}2cCtzRMZ9|A>rNRZ
zpjThas-!FhE0&3xT)s&nsfm5eONl^>W~RvTMR9CYH#%{|Zj_kj18>h(8}vyA1(wc>
zBE_|eWg=jRI2Vy!=Y7Q*hyB^o^5jLp#Iw=)naThW5(et%Co3%6ug_XMD1;lsLq3z1
z{lvev;&D$2D^RBn1*H!Pz}CiX&zhiq!u#6cA7Xx%=&szk)`XQG?bDClrD6sMV}q!J
zVGk{EsMq4vsZ<`cEsFPfxeO7f8MmIgykL&)?DT8bw{u}TQ)YQz-Uy+;k}@8-!5j<D
z$tTK>a-c=H>C=y+V?-ZiF;Mk^85ox4>Yg{S!QUgMQX_YqD04n39K~*ii>&88cKNZw
zpFiRSWAYU7a7UI+$bM5ij{h)miNXS}HzoJS17?WDhbQijw3vXFJGaYDn;Bw-N{{bt
z{!MJ|$h}{0ZGs>bzi0W|m=LJ@Os#RxUqV{^>NVCvV^F%@wydpW#8!GB|Jmd@LQjAE
z{TU@=u%ws2|7*{PCf93Hc6AHHdigYdTr)yN^HsmD-we>>Ewf3ITPE~)iZs+EjNm5I
zoO|jW1J<5>v92ZUA9107O3ftO5Z=$M&b=oYAgx&4N)cp4_n3V70Xaj2ig5Jtb}?W?
z>N)F~15DWQ{Kv(Hdj{Cku)sAUz=-G0kv$b%%%~ii>fdf`fZ4Fa{G0bOBDlfH%X>R3
z9$%ULYxGthXAV~zRChC?pCg-3X^9PP<x(@dw&_D|j(y|XgG?A3chgfW<$%l*OEu>l
z6%L1(6;8-9!>dIj;?e~!XiFT_Sa*ersQK*Enm<<iX=XByCG#Lp+{MDrl8T*5BHfW4
zEYM-BoNFrN!_@EXH|Fc~;I;10u3ZDH2z0o<%oinq;?Vtly{dW`OuUyUCcqBM@(;P=
z6@sWZtt6m%UKb5#)Rsm4IB+L%bf>hiFf0!}f1b~z3(lLABPy+{KC8-YPfrlRuFdj;
zLGe1s6QpF=9pHu*OTi9KF){RRy`KA@hz|aGjr}Ur=7o2UT9@V<aimdwte-#AMx;u^
zmQND=*pr$kYo8^F!(Uw2Z{4Gfzkdz?s%Hy;|6uRSZRe$7{W@VyJVhH~0mT|Wsss_C
z`zX!vp)B%L9S@yk(*}pDR+RXX5C*qaBt(zPqeP*0sCS+Mm6=Fm-c2G%(NtDR&{o8W
zSgk)*9NPG9?ZPEfFNz(WnkN5+DM2){dmz?C8+mSpuS0yr@%@lCL*qwf?54;3<~pkl
zu6>h&EWDC%kJ^4t$3Yb|LF1Y`E7}N+b7?vHMGB;Hx{cgBH8{3NWH8*)L5{!|{;7Hy
z_(l9I=Gdx%cd0jumBVylvAIEkxl;~4re;m*bDG%0u)EVSMh`1Ya_%OvtNP=cFSq_0
z1@Scv!yk82p&u>3GILuIb2pdv7Fg?`Z`Y2;xvKieI<VXw+NuP9rp~6^c3nh=6BmlO
z48Sv#HgC+Og1kRrO7C^3a8v#hlPPS7_e;ZXx*Sz;Whc*7_FgKSwCPElG$Yj99V_BG
zs|JU-qW!%m^$`&i|19p3G2W~T2o8R!j==TYaY=vm5gpv1Iml`Xd7G(@qF)-I*`_Z4
zbTPmQ!=q5RVupqoQZ`mt3!c8g%j&@fVElXR;a|c6d9qfneUcPt4QNdheg=@wF5KTW
zYl(C2AMAFnP{18-(9|bn0R2j8D$ldkoE4EKn_Z?23ul`k%|v|^8^pQu2NLioh>gjE
z4th^l9Ce{nF>}@9spe@w+)OL=%>^Blm8_kdKCXvr49jn>frbovUd7K`omJjGZy)B;
z!5yjR^CH7ET+Mb8HV)B24dbCkGgmDr`}s2m9I}N3IrP(lK?h7tS|@xrsbl+HHooCc
zw$N8EIBBp^8zxf&&1SYLXejx1vq{Phf#Lk`-|VJff79t-#kz{1ye_z7X>AAfby|~j
zM=fZqos+m7D1#-qyka2iz|K>a8?~Z=Gur<}Ei{WkARy<YkFp({Uh*dSr>i4s53T5G
zsUYs_*zP(oVT;L?pPq^WYA6g%)vWjBLgEFX%8om>=nLsFbcs?y!mB;Kzv7v&bvb8?
z{aRbxQ#fv3Ijn@xZC?Ig8)pfIrM>0ctM9#_tWmVpO%Vg3A)`G#qr_`b&j#ibG_2pX
zo9D$jd2n6suyC7dChAK@y?3zFAm1|d(l1p8TC`MO7p2$qjFo=_kJEw7mAt1crII+A
zC9U$x<tx33WA@sRJRn>rc`Kh&92{fe_ZR$!>0W%PcWbv0c>jfG+B!u98GBpp&YAt7
z>$Z8OS)R1PRNQax4nhe37W{=I<tOO&-%{`I$g#$3Yv`Pas=%rarA3KHOwtFgH`or<
zTOlGfjp20|52P$IJ^k}0>8BDeIteXX;zew^V<ZzNM$$#Xw~S8EZKGy?OdDGwVo0TZ
z_B$(T4|urLB#hG!T3Y(-JZ1s9O%2;m6=ux#b<Z?C`azG6(=^toFo(&4na%NH2CS$A
zoXAcZrPJ8k_!imBK?)u%Z{b=dW@An%?YA1C+elcKrTUoRPDHHiZ;N@NwngKq^p`=p
z#+1?B^deLA2<~s48T>;$ac?Nz5ZO=9_GXiK&AsY()9x4Amu3jguVEVJw0h~ky0pu?
zgG?YIIi5{BK1BqiC7*Td?WPYdDiAkXjgi(^^hYNBCxN^*I&OD6=yQ{QcePj<gUhJC
z_jTKMBBM={U@dH;|NMF;&LQ6j)g?@4f^H5GtrC}%y?-~+1OF3ZZkAoW>o4Dr6!rHL
zEn*_x6C&^EfjolG*JP~bskbRo4HtU}>Z_IBTV*flyW9SmoaQrxbl{(SS?eBR)Lt;*
z&!cksnXVz%y(tEGwLW1vWuc3xKi?<tCgTxZtf?Tljn@G2W?!7`96JazFVh(IvP*Q=
z>S^!%OZup7DIU=m{6v%{OlKOfr4t$JKV*HB(noK>(0ra#8<C)OqD_y;Cmbt(ZZo+{
zg)4t{o=|TK;gG3vm(E^F%-v|xEH|QJdq@k>)6h(m-rbp&C|XUNo~N%%P0_=KO9uk9
znVN~i=eO7M&b%ZnZy#n!FVV%4W1Q}>KaIq7U*CA)w{M8nt4=q!4C+84_1mq@+Zu@~
zmNVPNGwTV9&G7@35<1X-@zUorwUJ=<Z%m6k)JP;cK9|dI*G8h%-eBRqjYQJr40{`$
z7UCS!Z??*d6uh_C*snX^Ncg-Am;GSaMns5`j|JPcp#N{;fI)u~Vc5;S(aG%-F(O%!
z94fB`X<GK>{TG@Ed%eE}Dk&WV7lW;L%|T5(>K?Z*^lBkqOYGRq@S}^+3o4<0AvN&$
zXeJlw&`Px4X}(^1^b4`SVtdwI2@PC6VKAlX-$sN*74AMt{YJF@v58|jrjF5yqscON
zJ`x_*5|>7V`iS%sJA%4Dsli!&pUHlacH%;OfZ?ISeq!Uk8<9emY7ndP6-jv7L8yA2
zf1rAJkhuSs<KCq^s<@~^zKxFWBEEABjnX#{6K}d+e{~R2g-7YD*8<7i1cR0FH}BBz
z#O8zM9y0MN`20`UD664|xXewFjI9|X#C-NvGA$^B<;gy3hH5Y2>c~>*<1$WAGcK0@
z3{}QXIog)Gvwg(xEmwc6<(eX#P1iXzPb(onX-{4W{{Zpy`1QQD^l8FW?vKm8P$e+8
z&1Z_$3=+BaXP$mu^NaYHe|LTGydvIcIzEue9VYgR@jMw;`9sVoZ*tc=t%!dDqNWj#
zzY~9`|AovM&k_@y=3gfS6fs`eJrKGuMnszNzRHf8CuW!CTx)JA;H=xHw85BhA}i2z
z^G}u~LRa(H&X;Bin4J3&majTRNEn{0DsNgL90d198Qhfz&+y02#Nuh9tK_qi?Jov&
zI@l-u8IS`RbcHUu`xkMc+49Ky`%GZ$c*MJzB8RQwGUZK<e+U70)Cr`rV5;aiUEq`~
zZp6#vJl-}-eAb@+E}h4Q546;$jGtv-&2Q~P6s+pW1a)`BUk+&KF-fkolY!u+TE$D|
zON6$FP|upP+{haWao_er8rv;4%J1g+M`*uNtyA32hZp<|{eK`0TbbEG0Wn6f?_&L?
zQX>E-_5YqZbV*^X-l^?aGZRMGjs(6rC4?jCZ}%~ukwSmaQ^QZ?EZ7oS6|J&Q1l7&~
zw$Uz9h%3LB!_mQpht%<e!n0yHlJIJ8qm~rj|FG}csKbf4g+CnZUnOwrZ8vqCB8A)K
zVYMDFx#8ok#555s4R?u8BjX-Yc>N*JPxLw;99f%u<k!eyQgIME52diP$gbvSuK-T^
z-F=%@q=4gQo^q+C(nz7vdLCU9f~kkw^XMH)P*nVdXKXSE4oQ2#a#{pGzSQgeGFQP%
zFQ(}YDzb3>@5J)6Y%!$WkY{Z%S3_b%goAsI91?T$?dbgyIM22F{9pgo{4K~Xd&yn_
z+|4m#kNu@_`P!r0w~w@t+|f7u^`s(pYd-AWE-DAxmx;pv$>^;5ScOd8vJ!4FH@R2E
zD4_7$yqfMkJ+QrgE1TY>g2=k0K>;BpOpfR7Z&lRCS}#FqinKba-X$DUtWw6m_=3cR
z5CgPwb(<Y*(uBszP`<e+RjgC5h>Lw;h%wi#xdKc&@LwBozsX%46ruONT$4uFKGb=e
zdpi|XUlRjM^fj@S`q<T*!32(_&bNAF48X)7#B3@=fnwE4-Q_PPh`J*X#{Jz0yAJ1f
z8h+PC(#8;3gJ4r|%C^a?q?+QK>h8L+JGw9~>-y_)&lK&wi&ye@S)kw$lTNWT6(Yi!
zPq<d=U7Kt&e0{7@sS<iE`wbOWsj3u)Dicu1+TcPBfau_loN?C2M`xk?&WXl2^Lp!t
z)+;pZSh^QMyP=QlcP`b>J{e-dWP8iE@3y${VnbwAxjy(D9aB4>>O&@HxTB8S9=A)`
zUDdAX!z*c6vU>F&ELkJa@AS(aJ&q^S{GgA_yEhu!Bs9S)IUoBZa}8Ri9uN=nsrdRa
zeMsQ4G92z1`7r)kgXpVole=H*p=cvC^ZjLzQF5Stl*<7s0#|d*x^(bMQ1tO>m(@ML
zC{Zvqv<4HEExh;dQQ*4kX+vQI6W(qgt?WF%27j}XliKW8=c8)0u=Z;^5!TL?&?&eE
zChv?4_-fU#Ph-J+=i1+NmYcO-R!-VutKUY-w1o=VUmWHBk;OtvrvEt4@yQPD?~aBX
zDOE&(FqL8JQy%i5<IcS=H0<Cx&m20GD2JPBVJs^Cg5*OU`PrgKTR45o(%#aunj_eR
zc^1wIlRwodn@)YA;d*3@SjTZubd9(QYcPtE)j5V4|BPt}ziQY~=Pw9no+ZokKSjyO
zGoRO0=Kz{q_YU1P<3{h*ES7zT#K^N%_hVdyf%yj3?%iH2=prhLYHy2?Lse0>3W@{@
zec5kX=q?dil(4_qcf?3FH_2ITT^pP~KdAI<c#3Ef_Z>Eg7bAoF++6)!t&wSGR$0T*
zP2_NOKOS@wBNLZDR~ekN!uP9+Pi{YZNpIQ3+I&`0jNE1-R-saAiN0~UOPC*|AN_p%
zy!D_csq|n*w{gV+FVr2bUw=1Ezxz`5*hrZu$#mX_b=utm%SXF5v3k$Z7anX&ymeia
zY>@FSIrZ2ad;j`g&#+#h^BTGTr<E>Bt{W$t(k0DtBtkXia6KbQ9dya1<cN~~%_p8j
zCz)Y{=RswXIScv1`Dtt1OHtBz$M4osW;1-dJu4g%#zyiO#myX95hc6gE6%sYn}Sh$
zcJNUW2dU5|IQ8B`jGWu@LF6K@DK?F<ZDWq+BJ<zz2J*iWBR$D`<!^78fII(MK=4)`
zviZyjk0@7hGRH%tXP>bN3a(VWH&^E)YyEokji$uOGyY3Ku^)|LJe%bC=Q}?sEa~z<
zr%-}CNm~5Vi7-a&$Lb=NHUYAxr*_-MGm@ldR$s_%O=Da+m}mCli6Cj}rgQONxD=_T
zEV`)CYlPZbi7vg%LZnXQjo*luCNKRvmnxBCgt)l-Q%#Y=B&USy?*k8H$Yq~%p<nkH
z!RM5>RLlVpa!=6Wqk|)|q=vKFzd2JQ{9csUHo8-k6z8#je8pOx<l;T3H78^Qxf!vE
z@BlF~EXl7qdXoYv&9!$qa?TLZHP3zhLd41Zw~vQS#1%=0<)`P&Mh(%}L}fppBtb50
zb2_Oqphzx-ZL}X7G6eHbYxR?2Nz%|s^%+s7MBbR)618p85C-;-&g&0Kk^6tY<~6;n
zOg^Vcl<sCT!i}P>_heLM$kWm9wRVN8kUKAghIUbmU?!7)PAgQF98X%zD)&<*W2K+_
zC;J;A)m`Yp!w+)g%v_u!>7+)kT^RGA<ryKRg?hA7Qh^+MC)W~3RVPm+rE@)4Fv6H~
zwOx3N0y#J9$CfOtK?X+dJL<B-7_=(kg2@y`a*uq>@vq|=q{IbU=J76LH17LCsd7;w
zTdof?GFNDlA>rm5Eq0mUV#)4gEly=pfqo{5CrpcMe8iiN6%#yBQE1YAqfAbGIk{LO
zNg?gOc~#dvFoo#xn_CV?tB?(>6~<?CDWv$7iOSRfGmIGx+N?29B{%W7w{x&+la|g}
zdS%+?kT@uL<88Mpxg*wT2dk|%dG@kGZQDO{_#WeI=?+&T7lMOwKDld?@!jLzA3j^4
z>{W8<S~hj^{-(0tr-s_3LI!bmvD^}QZR{<5G3um<d-4PRehQf?aN@OLwiO0T)Pj<R
z)XA4wUQu1X6mtFV-?2YKt?_H`9<FeG4N{@3I-%;07RiuXT6|!Q4MN*$s+@LekbZ2H
zT=tck<l@KnkrfUCha~DxYKCc$C->JhHQ&=9wPS5Qn7tst*ezu7`+x>%xn3db)IoJ}
zoYwd+Qwxw+^ZvfZPJ_I7r1NXDh#J{=@m<!Y1Hfn)@#@@?Iyo)2_lnnD6;j-j%~kK_
zs*dFZk#kw<WN;I&h$=;y6kWWp82%Daug~mCky0n~GWx!5DNrQa5;?9hcLHUfiu^`T
ztF7L{z{o8F1+wYCfF{{*fV1?+ix!=#<mly@yO)z?Nz<_CQ<1CnVjX_R`K49KES>zi
zkxnVn_|OF}ty<taWAb|ajVk1cZ-J+3y(P$d9fL-P?*e0AT5BRAlu7o6Ys=mIVr1zF
z{gLOVfG2OPua@O1kxB_e8Uk!0<Y}LSjnS?E--zSSm{*FVQK#ohrIip_@VRKnS_BB%
z@MBzMM1ic&OI+c5CP3PWTvI71AfUs$;p<gC1@dTyd1cQ>KC*9<&VZ~2frnM}_|b4V
zGQlnT`nPf(Qe_(+iQlk+i>^Ri*^msGDWOms%+F2kbF?nV;I%>jMq8-wl_pPE2C0(o
zImvzAh1zQ(tnuo(`Po1JBuU|#N`=Vp9OTNvKF#zID;$cwt*rY*g5+UfeY|lq2e~AE
z(e;6c6|`%q!4}ctWckmZ%MM~3<g=+pg9y?R-@i=s&h8Z>W!#nmIK?^0fCWL0MqNt?
z?LMN>7$i!b6AfA9_v9dxJ5#<O#{xN<G6!F$ijdAXtcJ_qaF8vx9oBmaS)e`Mf<LQX
znCwh%t@7T-Nz&sNJVFx9vAE&mlX@j#(mmezwU#Lt*>AsFa+1*;-VJ`)&sTNNck;EO
zuQoT?bEE&ac(fVRo+Y;DC<&3pLt!r`*6@(k2H7b(3}(pmAJTqaCrJJe0096043~E}
z)o&QaWpC%$dmsC7hP}><N>M7xFAXGQk0zlsQMQbzkX2N+jP!jdGbCGPDJxk~g#7&b
zT<`T>&-J|TbARsp&b;E_%Ntw}`Uu<Sbw>vYcm<tR55t2;=#L1IQEs?@^)rQ=M+fm)
z8@w_&jRzGyE*E7Y4sI9zbUgT28(GiV*vMGmfxEXNo?!zA)(=`(T}j$VrX{<Iau5$*
zBk|6!2JmoEzs)A4Sqlwrxo`});Nkc&>mc7oUQlGwVNr3_Li_GnJ%~-f!+Wtjm-6>~
z@ZsSC&W%kA>AW7={MCzxW#3vHcMm@_?zLomR-%cTvb;k|)Oew!q)R|zRRBafPet!{
z(nNKRisBEFd7+M*EiX<<2$XzSzrPmNL<y~0bXNrVz}YqMlbEkCSjd)Xc=l1z(e(J?
z1JC(j`eGzFwupe&g}W0oX;h>Z)Zi&}m>&k>*z$hrh(QT!1WT(s6<x7!`#Hfb0H^8d
ze=608!-BrMRSBXZNAak*hCu-^ibys$v5^GZ%(5RRWT+^o#Op=J8$oc>@>JrYlZMCt
zN$!f~q@rrYsK=~jLSQJLtCKb^4cRh5mlPSOC|)2-#{(0Focn=aJ6dHxGOhD3A2Ssh
zbB0H?jfy}=XPoGlT3ImX4cxF2q#~iyhK!?lG4TD==vY)K2Q9s$!eg3Lq@O&O%6D8G
z;v#lmD5{bNhtI~JJDsRVU_sPBrAPvZ&iCU6-xA<zMWKvFCKdG-bW|9KN`Y&3y-7-g
z0zAF?b#rZzikc|*OJ41lhOB3$vu|4!LE7Q+d48Ln`FpaEesaoyXq5tIP^%KO#>lW6
zH)|q8%fg`GUKw!U%|CG%l%YInlwtL-7FrXcMHghs!jV^B&Wq=%fK_VGUFV-#=;fFD
ztUkVSz^W%DqY$VHDa=J-7CZln^Wpr^e}?kFTGXp+KvIJlO2*p}2OY$%+C%@Ci2%#P
zZ8ygn)F5j^q@s+fi)=ls(*&Cd5X_UQ6HO&T<H7SqMS^;Wp+7dyDpUa&zJ(WaT_6HF
z{<dm?Ngpi>v%4jzC<0H=u8^*4L<sY~8P>9;k0$z92YBBp!t5dT2~TSxY&@4s{Jd^}
zoF=_jxArK()RxQ8;;b6bcQ0^BuNopht<ltyLM7lZ=XiC-Tn$`<g|851jZg^P$b*?p
zB^Z1(rM~2*3fy_0>P@?iQT|mz+IJOYXtIq~P_|Kly}pI*lle3xs<1AauA>b8<Ezo*
z9LnIy6h8J#3!y(z#E@wjWhhqiF4#_01XdQypy_agBssU|@6IT}c<!g~{Ok%~rK;Q=
z--b}Ik5ai|j1t_Mt?_(+Rvzr%R7f>%BNTOWE9o7-61@L!T1U2276_}hFE(XNkXX=q
z&Ff%A7;iqS!^R*3W52n?O{pg6ZCaMlrB(%qx1RmTP$LQagMydzG)>Ut+la~8T?*hY
z7FHIWBnCscsT&&v6QovtA>Lh)0H@~@Tc>h`f!~Ewbc4+VE&llu;!BeU`G=n;i+&3L
zy}32{`xk_S6zUoRtmJ^EB}w-uk`F{(>WMcC5i;yvCiEVch3c*as=qfLQW^|2(k>z-
z*3O8(>m&n={l#NLWFENF)-m~wf{?y;{Vc&(8k(P&D3*(HLWcOV%9nl`YG+p~En<)Y
zO3T=vyf`*Ex+pxo$CQS0J|{Nc(U*X~T3k-f_gElyZQa8$&lrvChml0W#9)@qv4CTP
z31Wq(_;uNg5weWC)Ho*sn|r)u83!04>+PrY0Cyu4Kk|Wr%|{sY{6fT^3NV5~>N+8$
z#Sm$JG8#?b6oU7o9^|}d44}9F`>X#{cIus%DPAoCFqQv$IPES2xScgL7>_hS{!Vkl
zj5+*pg7U_gEtdhlj|d6BUD8M0VP@`j>3lGJ%Z>c-9|P#z<ghw#r;jZ5l!dWW@<QBM
z%PiRlM!=l9d>!BGAsjkp<vNdt!j|>WJQ@=mWn#zmQS?xKsPlBH2_B@b#-{C)U<SFf
zw4b;fUBpEcj>#{=K~c~L5vn8$s4Cn1F%#28!ms&1Md;%o{qVN>JsK-a4?jMUmZ*d7
zSYQd(Z+JjA(N*lwbvD>Ti^6F9I_QI=_1d;352$wAjO`m{hk*VQKaMABqi71VpyCKO
zXfFJXnmfh`XnlExM@k#%3LlZ(D&dBG%8o62=eWRU``$!sffh2ON<Et`;|7sg^Q_5q
z9{3jXsG8GA3!O3?6N>-B4e89JrEiru`1&_AqPklX{rCOyWVa3vWT-zj$|=S}E8{Qx
zpsyw>JGmLtS-}I>+jd`IuHl8|E63D|@S3PsG{td69S2H*hQ5D#`M}sN55-qe(Y}<C
zAE%RWaBua)+EoSt*yuX(apW8o-8|Fm5s$|Mz0b9bC%XmV$>liCZE-4U`SxupH3JVr
z|K_{>QiUMJ+APw4kb*vC2T!J$@dD+}f$CKz5r{y#>vfMQ$cVu_u>LPE)SS~lD;h2e
zD*wbk#CT9pdL?o_-N*-bT2`8KWW*tZ>+f_lq9D;a7iv{5KkO1%l2+`NfRvHz;t|pm
zq^#O9ulPs+1XX^ojz5xuYrhgT95^Vb?rvD{YOWxdM;4eL$D~1^8yCt(PeE%r<{GD)
zgkZ{|Dt)a+1|~?fhGZrRBCme*4%rfhidpHxm+xdDx8hKdh7bk4P<*Jmf4?Y1yyy(^
z?UjSN=VF^|x)k)(vYY8jz8Jhrf8$uYAP-4p6fbXg3aY<!<fpf^1X$#6a)#p+U|XbD
zDenaZ4cZgDH1Z|kjf<^`n3f`BFpxiQ(^JugUF(#ToHS6bKE1_yLJ2aS(M`SZrlPVe
zEw{bv(s1BMnSemh4llMgkJSF8qB@1>G37oP2u651^#m0#-cvih>$WEPDNAx-tds?h
zT-`R8N2;)&KXzb|q=jN%o=C}fBnL;B=Vj?))u8?v?&zJB9ba*9H;?rVd3eAf(i-DR
z1T_<=7w^zU4r2+wmz)TY5HUbf6;_9R`<Pd3-sm6^dA``MMhcLiKNVg5NF7A;cg;+_
z(M6;Yx@A#rMWAcswR4<P2kFe_jwfw;X!v|(o8d=AXi$1!yS}XsQ+Pc;<0*ZVOA8>D
z2P=WDPl4jgPwHT%>*1QnVu%{Eo3y9#$`JEOL;Tihb+GjdvPx4lLPt-rpL4yZ40Fr&
zt+Sa#h|?Yy%16fN)~+rerLW3xUrC-!$WQ~^p4$o^Eon%t*qNhUKm{~A&ZGvNQiX^3
z@jxLNghs0CRl8+Xzzus{tu?9)!U-{RmC*<hyRwL_EGkgJb??bO4JAnVIW;aghtR1O
z|EuTUD?=+<PN+Yr05|QjTBLML(8o%B^Hw`$DCx@8V(^!Tz@(;Aw|z{|*Ovl!7<YJI
zKlReNKUfyZqw+J~$C)4oJJUK3VI}w!Pa`KrN<(^flBr6j339&DWKP_#2(A&IXR?n=
z0PXECeaT}JH0_hrrEo?8{uxLHCbo%yTpl4|I(&yO6K4feT?jCtS=+gNTM(wF!;XNn
z37XG+a&6(HJh&EfFseuKK_}*(@3O-w=FY~jfc<hHUwiUh&kr16#gVIme-Iixw^nFK
zl?9`<p<Z5dF3?<jOJXQNC_%NutV==$#(Pp02VB{p+j#FGvMWNapOZ_>xTJwp<!Lsc
z!3=X#Yqov@2wDBR60?ha$Is=fp5#epfS^}QJx^}ZP{-Q(tuh{Qh`uKOkSS&tbfiD^
z)$KDz)%7hA93)YgeG@#j#YzYK6mR7=MPqd1nA!TF9bQOeu{00<*up5y41%nIM(90J
zs;i+*5Eh#7f1RT@v3i-r72OYpNLL^c-+n*<)~ti(bVoO^neSihPe>V}n%etQj0=2F
z9}#ilV*LijaK6V=;j#f*PQg9)DdmOqJ-0dq2%Fdo)|W$ao%#s(^+8tjLp&UK=xQbP
zYZH@4yHAu5^^w4!`lovtI5>_~b;XMR!&2L~Uh~K3q4;^fkbBWQKs!KXGJmj*g&RF3
z1+M5KC*ljaDPeBl?Ab8<mPZHYw4;7+pVmcZ9qKN)jBvvCbwRkDwF?Tm+V{c-9i(8)
zpRPX00k5aZWd*D0L4GLnV4IN+DzVamOKco4OCaTE%rHQwXo{p}nKn{bOIV5YWQTW(
z%n?jvCTKSNxxu2Ljo#^szgpd7gPD%@$*(cY@b6%T)QMMGD8TIPyjKky-27dcc$JwI
zSnm~SAc__`?oQxe$!3Go*F<8{64{_L0=w2zt%<yDiMIB=W`l6>6p1$GfS;-dsXF^K
z(Vn7Lxv!Sl;G4IyH9f;l4tlW5Bjz&|$%T}UIv-_+fzwW}>ArJAyz+M^&hu1cRW{&B
z+2LG+V3MfM1snu5wlz$0Q&Azk+4PeL4k%~UPl&&R2L^g47N=qgdb3(?b?p=<cz@2a
zw#w&)CkhR#?RFI8vN>4!^C%b8ENE8oP4L05x?BF?tP~`E{=W2~3*6v7*w*Dh768!(
z(y{GYGWzL|$hW(a2b3;qOO+%Eg2Tt(_e!pkk#BnGLz{RUWPG=7zR52P?7V4~+B7mU
zT5gxAKZOV3lq;p$FGL_;KsrQ=lZ+tNK##?c7ufa|wc;GaVBdpX(igvykbBLFb}NYw
z$W<||QtA>AxCa$|swbg9(<5V*2K-<(9M+?_lMg0!0<A4ykx(r~(dF7{0l<|TguaWD
zh8BwBgRLAA!n}l>D|h+}VwMwT&yj)AgHh)R1te5p8t6YWB?KI7mhXZZW#Q32O9N?)
zgocytM%|8xK=5`h&UjT0_*Ipf+$TurSwe!vp>9!lW$N(Yrv?Gg!lTnEB4o70+fd`+
zEe?;G{#^~dr~t)JX9A9$B_l!cGTcu|NvN4=<x~VkAWrNJv92d0m(bdonn@|Rt~FVs
z%A*Vxynmf_cev(f;R=3Vq@g!Te^2iz6)>P{b&G4HpwFiy4Gs^;z*UQkNUJPWI5#0a
zRNzBJdvbBlWcy?xt9M2G;gA|^xQ6y$BJbp&0`J_L19I>+I@Tk0iwMJ21cEh>7Fs?<
zpX5I*4|_Im3^LMbK<&S&<|!6!^eHRV;?O7otf|~Zs{<NPeq?+1f`|^Xzjvg4a8Lm}
zR%i@s#w6HO`E!KcOc%WvaTM3x$z6v1XI3rFlb{K!e0}k{9-=MB=JDn$!HvgnHgax|
zfMPM}ZrrMm>T=re)?84A%<)@R^zI}G@O>V?EpCWn+Eun(WmLc=MwT^_K!T}>F$D!b
zBXn#cs_Fbo6>!+}>f-UzfDUQgRlOQx^zm~kv65F6I9gRtnro|r>PIGe%T*fkB?akx
zJ)jEAk860$3e~{e@!j$Idk76xx17X|tAc(0F+$F`3Iu%qk2<mA|M&NM3E$CFg_i6i
z=gRw);K4s3`}B(@$oAull+7^}Q1;w2cQac7uIan3UTii&Pv3L>i`#h*$H)?=s^jvY
z(Os;v%wUSHWoJA$d#MZ_(KR2BFw25+`=Ppe1ydwEm}zmLPYFDz9(^gnQn2+rX)}Xt
zic(B9?mih&1RayKyZTaMupL{@tG;u-kuhzSr9}ZkbcdC@c6@r7fm?qSvngUv^T3@*
zCqV6U+<(UZ@xi=D$tr!H3G!P|Fta)*4`jWQeuHc{U{l<cxt3&tV%cNW>=otU0(Sez
zqzyaRSDI$sK45}I8VHVezRQ4cOGv7{FB9Bm<^FbN9ig1CV?X%wq@loP55K1UE)e-n
z!ss#(nrrHJBY%+u9}2@Q=^fp+IAVA(z!ae)%)5df-WLb0m*)s^tG}^;0KFQ<1{z|+
zF}*jo5e0_fe)37?U)cEFln4LlX=wJ9N9<KYVJO<CAi1Hwh-E(_<ZkWwhc@f7a&rqo
z7$|<qG!Zk0(MblYCWjiK*oi=P-)sC3*reif<M=Grpf#E_UvG$B(5=i?4D!NPcQ;D;
z#Tjfeb%VE^)ey~ZtoZZp=*e#le_s9PGg!$<@8}9^1H@>>Ce*=*gU3}q=T_=xv9!@I
zk2f;(5q;g?8-6)lK<m_>`j9k-G5x;6)BH;hz3mVexEIa=3M;ZXdb<{|R+6Wax}_fC
zDNR|hD`bP(uKNK!%Zpg7+_yWVJYD43uyBq`kQHn%^{9PGTE;38Vvjbm?CeG8aqG%T
zW+;lJOFr(rf~}@5n11!rL5*eqnlC3X0cY)7J)L8}F$><sf{T6HsO~?7_^_vpFk5{>
zDAHvOJIACa?6X@N(Z3ERIeuk;Q(4Iu)Dr$;p4WyyK!p}MTVRw~bBF;Pi&G!^jcj5u
z$FKCAA!?z6A8f0#r|4m^g0W|P_cms)veCW&nI?MQ{_byZ9z8_yS>(WXI(S{X9ePPo
z6V3AM%A|{;2cv=Q2mN~V0Nl3>C-bQ&h9M(-UlKjg#q7%o&R~EXivGQ)6e?1s?h0<L
zqla97Zk_jHOi-^`oK^9bf*!X$w>{3y0P^{}WALw-VaiQRPU{c_&18MIlMG@2+l{;=
z?h~wVl@!^j^No!9)X%SFurPvZVYh3JEISaNay=XmAtQaw49n_LMyRJ9me^qDgp$2p
z6(_{W=wF(nb@Fv4z;irz^%UfWEWZ=n!#nzX=12xxxhFFe<R|l+%HyCbJo00%+m8MV
zy*M=zu#+1@-rIy)@B9m6FB=Xa651mZI3)Ls6+B`ezxtBQ3+|zzi9Jagh+4M6`}Hpy
zcz4bYyZ+{bRC41bA5IN)UHi)6((@c}{(kH!Q9l9bu;NVr9ixtJJ}2Gs#dAS$sb2ys
zix7+t%QF_ss-t8T-+uW)ZeWfK$7|IJ!|&=If@mWVJ<Dl-&*F*$Uy7x8<O5M)qc4k}
z4<e%5GrZ5tFXMrtZ5{S8S{$Aver}@dB_jSe2R=kT;f41X9#)3Dl!U^+D+B{YBGSF9
z*TFZw!{d1F)`0+NxaY-jvs8wN<Wud7cnk&LBG0S!&6hIZN<I2GN0*3rigUTrN(CW9
z(=M0qw=Cp6{1_VIOGGQ5yZm#^g~7yvM>XuQJj5#hIL6*eL?Q{%?89p!(6pHDDfNZ`
zUD^Y~fd|x)1@Q}WRFfFo9{y<4udN8>mf=DNHq;T9xf}1DQV9@T+|U2ARteajA0`<N
zX&^o_cgAFm6ci7YH2WM-frsY<;-UgbsN|aQ!;l4OIJ6L-eRo6^_69eR+oZ`T(EDTa
zHm5AuYKjzna3_LWxSIdfX)>z9_XJ+nlmnT8xJ&la>hR7{qu1&a1vOhVTgaT1hdGx|
zO$QZ8aMWlt-*%XabbWa4cq9@a`z@ooa5D*5#RF~?uxX)(XPiuW8x=r~(Y&JY5E+J)
zFP)J&u8poQ3a0*EQiLEDrJcPZgQj7{_m%fLXzxOf_;s8zwEYk>oLnWt+3}P|w|8{F
zywWMxPD}+te3dS1FjJuQdeNrbcYP#25!E)qt_r+;LoV;Wkiq|2!ZqOtL-cg4Jl3RN
z6})2`uf*LZ!<Rh~^B>iWQ6V1h*czY)W82F;>vJSP#p^zH?`bIK@^WnWv>F^Z&n<RX
zoCLQ;F{#*0gw8T}C1cV=AnzW|*H%{t^2YlnFDnytZpMADy95zZ8}<LJx2VF{0lGuG
zCrpq+X%yYVVKwMC-#FqUtqj~!`j%BEO;Lyn%d2vGHQ4?X>sP&B0ph)iIewOzqNT&v
zi$il&L3~ZaDaAn!yjA=Bi+`FT#|)LJsY(^lD;;>E6eJDXa3eE}*$m}!(L|m<Qie3v
ze7nCcVsOAjAl7G>8R`iXp!C=&!DzB!wkcH*W*YnaqQ01-G<P2pqjd#%RH;;XClC)e
z+P$eC@=Xz+E&1`nEdt~kKdawNV27V6)L!Q^rl>Ag`DPKlJcMsuDx5mb0Cc*a$79({
zQT6TUzSIy|D0wPdl5q1ccK3SDcilV_6m~1;;=smEPN#Lp*@P})f96L=KNy)HJ$m1)
zC1xpDT9`LDygiP67@r<f>_ljjt5NnHMI78jlI3HL)?;r=aJP~i5xTpm6Pb5Y1WG_?
z&!vufT72mc%gZk`B%XRmfo@X}0)BT*S!eap3iKBao?xV*`TxeQ?t97)2Yu4iSG>k(
z$1^_j{8lkWJilHkpS;2gbl2$Bk6C=B1>pzwKeaVN_w`7ptAcP~*f8!a?J+?+5pw1z
zYq%l$(^A%!ewquk^ZWb5T_<Q6JvNJhm;uUsVwdGD$qstD{E|YqztYxkii>k@>7$A}
zxo+KBEbuIMLvd(hoOb!h+o=Mik9_vsUtf5_2zt9Ip<`<!w9O%>b>cleR8%kd;KWgS
zU~c$ga>#a&_Kn2*%x+K@$*h{+bUsW62Q<hT5f(i(<424si$q<-sS)OqD!PR^*$kDZ
zFm}-Xk$VeE!*=#US!1+^{V%54NY)N9dPiHfd??{Msf~&nhPxwO|6uJ~#;jQ*MKr<Z
z9@`!Jwb4B}YNm(WDn?h{XwPO6kNrC9AX8neg+`)6J~iq5!la;YqUw1SMuu9#nuOMl
zsTZTvr7mG~oEg6qG@7vQ*AE@FkJdyvN+S|z_aYYLFOIuZ(24zu*wAmJ*F=6rhsFNd
z&11F>no35`d$CV`1qNI}RD>T-KKS?192S!>aw;k5GuGIxC&K@Sf{rRroD<&r1KW3z
z-cKTE42verN4>pFK|p@%;$}IE;okLKT-W%DaqU-KT3#okFJa0ZuGuqKzJ-8jS>88n
zE30?@VJI0f95Zy7*gu0k5Lse$QklXgM+J^NVJD+gZYyp-v}Ujd%cwnEZ)dPBCaK}M
zWD;7g)2=Q%JA<96w3!xlpTl11>KR;ABBA?7>slf{&R|kYM)G?p3)r2ptj+xa8t9p0
zP}1wmv)Bo?ft<s*C9I=a>Ci-uI&unmni%rm4@}HHqN)AyGNvuH6!&<Lh~CHBOmF+m
zVJ*qCE_e2<U_qy^IlJ-^(bP=XhQYg^Sh#QZ*+(3|v4-p+N0N;iDyfgl-nLr6!cMCd
z1g`wS7W#ziex<0Qnw4CKrF)B5=NJ3XkBon@rRamC!fz@_UaKWrCTa;YUL2jtG1<i0
z@qO)X+A8RE)WV<4!evaKfrHVt=pTmHw)fPCRz@cBH-lYQeqpagShy|}(1FiEKb-iS
z5|Rm3f75h&6=S@xORYwN9-KN}blMzNLP?$ZHh1QKV`QAh;^h(sFy>BXWUo;~?)P}o
zTb{3B)h}QEJL$~?{bJl}H`Nr;KyaR=`i>tOw!d`O&zc3)GQ|l(ISS~$V&aRsSDTnh
zJkMdgD;td3H3;Ys6c8Wdn=H;<+n9}M6x*K{9FVqB&*AryfJP?Ad?TCafMaXvpuQS6
znAw)b`5P0^)VJ_R0}XnJ$mSZ(zlejCrAP_>L3w2KBhc$<H3L{L`9$!p;^BG=>!RZ|
zd35qyd!q18e-W5H)i0F~26#9e(lq2z=>FtVngt8+lsi6QbrXP8cw1>XFNfCuGrGuN
z%LXMbW-GKaLJ)FUblUQb92&RzEtmX&0~ol2=<i2}z@Lzf-@R#aC{h8j`muAv=cPmw
zyKiE!r?$cWL5v*Y)qRyJVUL3`+mchO7bQWcBmZt$svHXNefP+<9}hLVZA#VBrC~6_
z<H|b7A$&D^!|e-vaDfo}B2Y#a&YqWu>SUHjE^UWm#xw;$CVGBNrCttdD|`vg{_<$}
z-;byo2_cBjYX0PQg8;BmpHjd~K()%JR)k3+U?$rAEWln7zE&y4Uu-9!5FP77Vcuep
zl=|eU=YPtOl~%dz*sg$R@%2aM`XnI19e3i5n<{Kbb=~UXRzk#o#WNDx(s1&!^X70Q
z5hnfZUeu&2qf5%t-*}Q_AVO7vsk%l3Hr1>gEv~8}m2ggCGn*VZ7KM38tdhX_4VT85
z3L@$+T(m8WmIvyEWQA!)3b=ck9CcSEp{0lnvtelk_z-YkQGk&O|Mu;1C@3PMc;zjo
zfoes_p?{>CHbn)iiPM}CUQ~2{p*GR$m@?2moBq}OR1=bPd&E3XX`zbh47YnzDj-Jr
zL1|ai0!DxNvW;LJB)Tm5!p2n%h*hMebT=*7>b-kQw?Pjz@-yE()j))sXF50!9oK?4
z(YY@rlnjwPmtK$BA9e85lm3}HrwLC_j})3dFh=(zo#|NTHDI9ekx!A-PW|em%X_aP
zv=7tN3bZ1@yEw79!X*mid5)xfN-;stqQmRFgGunYiJ<euoeW_G+3U=yrpTt6SLEwX
zeSdxf>sJ*G_;WDR{`3Vil<Dw7b>JWgq>94ow(+XqP}X(2LVP#kxpGQcYfJ-_qa#cH
zz22Eq_~XA8al6qmKWCP^E$YyZ!a}R9WWo1Hf~9chZp8Zi<M)lTM3~omFQmjS4u6V$
z2VM{D-1E1zS*=DD&g!chj56{A{R{WP@~Yj)`q+UR*oZPnjvVT=k70u;!v>89{=3oc
zbn#N+kRlkTWuH7gu#P3Bir7?f>_+77C##wD1lae-e2ww@C+vR!0096043}p-)@>Mu
z&FsDRo{#O}v7Zx>P)3VX#v6&qj--@SC`zJ2r8Eg8k@f#;NF^akNM?wvBtpG?y+2*Q
z`@HYtxX%0b#}?zx+QP#%<fy=PCDO*LAa+*l8@*{fU3)j1Ex7OVKfao*K)!x>=yb&5
zZ@N)AUFUs_4VtBNw_KQ#CExXj$8daP!pW}NHjP8p*m&;n>7rFhQtn9C!|Zo!u<&+f
zWZcafBN?F*FKop~pC*^o`D+}AxtXF%J_GjuVaVRtBt$-oUsL`ni3>IR$~r%q0lii?
zSb{V7Nyh`J`ejAjXp$YX=L)0aMV*qeh!GcA@#6X1xE&9aOgnn?4_G16b4+ikjg{OZ
z-%`sG$Ahz18sGD#S>kN(75dl=13AQAQ6uWl13q?^53)rT2r3=7|0c3TcsU7qxhelU
z|M1@B`Ui6WP(ZK0R9*V-x~1+cG0vaLUHgU`Yu58UBe~6yZrA8hY&1;l>^&j06wD2s
z?jg==&StnW<H5wF+CtdQbd)d&a>FLH^J>HeQ%v3zUh0ahryD6B@%#9a3rE#tqK<qu
zLGgUdr2l*m-DcyblL8mGAm-~DuR=FLi_-jENBL1YE9a#ndyjA-Zt2ke-YYb)zbbrl
z*?*co!oKsmQW_U5!kvB@veLkEnEO&#%n!N(!$5y<4Hq_Q2rRaR8^c{A)Y*Arfj$n=
zjRpVa$v2|qh7B8`)~1f@fc$TIZEk7P`AlxSo8;KpyTb@!hRi#@Dy`C8LUZ3%Sny!Y
zIbV;tZYnyW+RdyO89-S&PG2j?i+dSH6IXUo;ov>_h-Wt=o+p+T`wR0SL0_(+chnHI
zeeb(I6HM55kVjiVksmoKW$PZr7-E}Ull@Z(799GJ&6C!~kF%K}Y35vp__g8BfruDZ
z?60u)k-a2<H=mm0vTquISHpc_OZOTKJ+t_j7bgg2?xLh$b_V#*VEJ3ddUog!cgB5=
z6vCN<*}2yy^`SNK_zp)C2c~xn{e5#v7-^bzX~UQFF@5=GU%V$57`#Gf{hx@SS<ft2
zeWN}qcmJmv!^neDWd^^BHDbu)jy&;|Lm%9xnpwM_@j|*Mobgq-IA}?y9+bS*gWY8K
zq4jS37<QVGxw|X@?hA)5YF^gE>G0qOqHY3cUMUh@e^Ux)i4kwPFg;K<l{~uQCy1w}
z?dPKQ%Rv8n?!GWrJruEVeR4Y~1b4QC(aP;|@R6?is9>Ro0=MGhCrDv96K0+T<?<Mz
z^c>qx)k9^UvU)h5D7pfQ8T?)=;PIy2asFm{C=Od=A`vZy$XeM#xmiWn+L-A)bkV~(
z&DS-KbK*F0FTZ_KRT=f%&zRmv>%mmoi~aaXNx1D}t#Aoa!GlLbUU4OQ5M=7y@P#T3
zvM|b7;fX4)b}f2`F6-fPPtS{AOEQSq#lRQDuZ|{C#Qo$heV8VdXTI)~14EL{S<8JI
zxNLfGch)C;L<%bnuOE`fhQGB_IWIM#@TIHAA=ChoZ|yxgh7}NGzmL;eS_=mi>r<p;
z4RNy3{KB2@iWrW#&QRm04X<N^B68mhVb<+^%xzf-MJoM$HkmpgT32?qw^L!$Z(sI+
zQw2XP`L0e})5R99_c7l-8evbq^Zg|;Rcvsp8vSmqhmDVOFGwsJL!9i9y)CPT)7leR
z-8p(t<bGq<rDp=i$IqC~N~q(m?wrVlW<8M3(kDy~o5Dx?r{gM<1}@pyvh;WBf%xi2
zYwk9KY*?Dk#|{mM5Pqqi^?F$Eth#)MZUN5|o5zPvX+nP5l;LNj9wr-qg=7|5f^JQk
zh)GZovN`j1_q;9?M;aGg80e6^p)vLS2n99GWBnF4b?~`SCL>!Ju-Ljh{<eyO=2D5h
zd;V&{;c(uqx79#_d``3vNx^FOP7ZTk3SQ)(J>1F~mb@ard$K6-47|PTY`;28A2f7~
z6<H%A_a}#;F$HUHtno59rHbY1!@sXE*dSTjwOrwrCcaOfIhZW2j33jHtOn*bu-%oL
zFFK}yKM#2GxNa(d{cCn@yq68s`4;kjGibm>W6$#+M`V#D{%*}7KO5YcwPNpEPy@>+
z2?x133GCF!msWSTLDOYfvFuh=y!q+3H}~KFitLu$tgdYXt!0h3TP~<Tsn}|_!I%I}
z-DOVASg;1C`MDZrXJwo`|Kc&b01tF{SxvGZSff_c=l-S@MO1HV<lb$`1}@r$TpwR+
z#7YMX78fb}<Hf37k2@1;^+(6wvs)utaCGFow><v*JsSG`^a|ar>~%o=y?^(XKOfm`
zCJR!m?O_Y=0$n~~!?Sn?;M8DhUP!AH7}RU8UuBx57pFVcD7~VCR+sIrd_n>|?8@$s
zW53bq*3nZ2|MGIlXdO`X5yRJr589jMM(DnuY5(b)SiwU2(O(^35qy*wI?Go$Kv(t2
z3(SqM#BB7V#OhQb<o=B+FAw`de{-x}C9cc@@dq>J>7NC_v*|)~8l{h3%l~M9?3_93
zJNR3DJ@~PHt}y%bY9HNv`!`o+Q*%@>_I)y6;6deJ^^TYI{q)luVRi1u&9G)yw))IT
zE@(a<3F*8$NM90+JCx92ip1R<zbySY;FT)I&LBNPZ;EBOo}^)lP}Mpkv7>A_C!3m@
zy*Nr=Zu}*=Ey)Cu?%Rxv`&n`5*QoVYjS2d_PyC+-258V&la;Y9o&|wt9lb8)PtivM
ztd%+KXs8M+r*Um$#$-j0XOr?QU7?xfR7J5d9>gg2hiqoTa8R!4OTiy>EvK6L*W$)d
z+bA`Vo5~1}kpMgt{Yk%;*gkHMVuZ}5lQq2G8Q`%TGCQIBi(X!HW>fbn73Oyym}SQ@
zKt9VOP}qBkp8Z5?tSp9#w?wk!E=>jm`H35Tytzy--^h9D-VZ~F2m8+t{QXN8*~@GE
zbj=?+ZDGcdh%!WKm2g_b)L*(P!-Pks4FfWi7hg;)8Gz06<BddK21rS!KRKAmh*WD&
zAN?c)BtP`_4PDECho`zOdjDiX)rkNyo8JJhE<M+0y~u#h-$_ERLRgR<`(~T^b$$5z
zwPammXT-+2XY+^tuwr4ouE-KiAB4zr;kgTppmGYh#NT5>P0&1)+VwD#)_eR9oe7O!
zmmF52IB<3CZ0f6jUdU!L-6qAx4Ac0j8=<~ji1Z3~5f|3Os`Nvl$q8l@ZElZ`iR8gC
zo*rs?tS(xem?ylaSs=uo^I)Qc58F%?2B`0Kpzb}psZ?+cz9=o1PH+jJyJc<j8xtKg
z&zPO_+{OlJCzW?JPeJq;uN9ZMrwy8A<&*-!jw`-rJWe$TVUI(9jFh@IIO?e3+|HaR
zaSm{nSSJD{UxAddaxK)I$-Lspzzx2cxldY?qF_;7;qBe1g`j+o@x(qJ)c$81&QLB6
z!PU<rX}>9WK>bG180W*AmyXx#@+HAl8PU-3k87pxJS;N=1Q7SN{FZ--Gz!>eqKDEb
zaCyRRbbXy5?$BOYKmIC<u$=xRs~8H-o5purUlhWl{Zl5)h4NS_wB7ygAO$f(1%J9&
zL@-%YUU+(30m%y{Z@=YHFkjFl@+4gpg?ab$=4_Qv+co-XYd-}yEw>J_(!^2tF<$ES
zLuF`GJz(3gUJJtFCyCrY66l_0d>u$tMUj4&%7I=jJdBOGI6WeTce~jN1YW8^vQ<QF
z@QOB$P|i$`PRd|#oAltWJsMD9J`gl=K?j@vzS7&qA&*B}c3MB;|2Lno#qeUIE_|N|
zPSk2DpsU%p|8uPtsy~!YSLf>C`gJaC4NpZ(2P!Lk{7(nl)-Sfp#^__;uI$5snM$~y
z=-_^JSr<vci6#Y62I#Oi`M&?XGAwiot%Ym#P^iUI6?@ST56doiLR=NM@|q_r{q^yh
z{YNS}K*h22siZb9HKb)H*o@8TV{_N(T2U8cFiC4Ba9&i$k#P&c)yn{aKlc@zeWu}e
zUGBHHFEpU;BOacWZ2*lUapKh{O!4e&`~msTn$V*rSkL7d0Fqtn2wQV}ux<Aa?W91y
zNS%o*&;aK%5Ald_T0&?|L;LJaEet>H&aU{OkEZTc)yTJ2@N2j^Z)~rP=JK`7&#d&J
zSZ{fk7XVMbr^KTYZ3KPf3_atd2g8sXSz{d5__K4vwSZ6B_?&LMcL#JJ7A<8NQ)i8q
zjSl;Lo@zrcTj164(-d5zSku}!+u*>?pVIn)+F%fHT8hY02W{bQ_L(;}Xb;?bP@?(Y
z`|Z+taUx0u+syZz7m%}sijy`w!yE-~{KeY&9TgF*bo)o+MqB(_>ulBfH9;+?=RD~v
z3rhYA*FRpiNZY=Dw(N=qrc9<x#E*(&S8vb3g7vmInySReNK?mP(XF+n;zGF9)Z|G@
z+2V+oO0h_}Dh~L2k8&U7M#X7KUjC0ZAQZI!j7h7&?LDQHfu9AZxs-#$6KxRKxs`1q
zK?xRY&uC$<mgqrz$|Gl_ZE#siF(JQC0YWVaUV>c{bQAY%-^@~L>~uIp+hi|~<K_De
zS)$wMBT_GX*e$K0IUl~L5F>-dSlb&dqfNx~AHnjkUINJ*w)Y4nNuou0^!WLd0pcpN
z!UD59z@%Dg>RT;_#aSI5_PTMxm+9{Lf@(VSZsuea$&27Qx9-@a$25^*l`DI$(+XF2
z>_44fC5V)URu<)bvxJ_yxtrC3CCs1RbF)n1$M3R>Mh`d75fZfizymUt80fs-63@T`
z@0QEE%(LeRjVvMOTqg^#e4)f%*uep{Wo_05&pBdDE|{}6(Hx;Mi(=WLYjEiNSVVHe
zEK$5?u<}W*8K$%XJ7^lrXpUs_Dj1(3xC|IVw*ECmz3$(<qv;H2cXBojX`3drLf)pV
zbudNQ=j7vBi7WKtn-kGn3%(PP>LEdTIVL#5?zHb~=pwy7a(ia|t_i~7BKxhz2^y|6
zp8aOsJ5Sfxe~`aecAQWYkZ!8{=R0SWfE^_@v-F7gpqRXwuY_nAqkVOuG1#xC+}O@E
zMXz=V+kN)SFrh)Z*{87^V|yU0{DjRoy;M)p@W<RBk$gn>?o^l&>eqcy7Em6c-<R~^
z^wAw46yp9~E%{7Edi~AU2Qvrg%~~FH={jGCQ<A1Uxf`h{T4|&3EcMc#u*n9_Z0#kQ
zSbUpLJu}3)uPPm}g&*lxHxxkO<0rx|RA9x`!Vo6@f~@hJ@9EMn1U@||{z!aCN!i?5
zWq=_6^2#d37W(hi!4>h2PGW`r^4wPw14JQdGGy&bx?)^%r|S9+V)!!kM|7<|3>^({
z(5-=<V^(`=7u$PcH6g9l&sHBBwmumD<y1xg%AVe1#@SB1l-0F4|E~xA;gkO0no>eH
z;B0>DyP=I3^u5qMwOtR+q9;NwZONyzzHZ5S-P}rKlAgV_A9RtZ&TM&f^Co()Yk7Cq
z@mAvCue6q&RUIUX6%2~~&LJdUsg>`KXeCrwQrE53)IrK$_A{+}ZWDcD%&vbjTM60K
zfQm~yv?0tMP_HsyM#Nq*Q9U)>N?6~d@`q<>f&bmu8KSp>5V8sXde^^=;O4EVDQu%)
z*Y9<Ve@|8uuQuxj=ZUlvEE&{reqjon?(V5M!b1=zgp5xb&$knHkJEI|d1<1xPPTMw
zLjz&9>0$U3V+Rpl!mQ7FM*~~qeMT>@J|m2KE(Z3{I|<g5^bw~eb;t={EUH@DNIZP5
z%~DnRfe3!)H*4pjjz_UGzkRMY5pES{u8wT#B6@;u>UQ2$gPLny)=!Z)1fxTOdbn;k
zQCVyLq?cU{hjlogKPY=k%y#tWO4#=jc@UVvK2=y{4|<N7w-UFC-Ge>y`iRK&o*AR>
zRp9uV{b$#cHo`N?gYj{0Kk@KEMnffC1yW-ao5Ne*6a8D>x<2F`B+k~;EiacUqj)N4
z*hjRJc-1Y^cj?{`A@_QCZ=8}c7NrH>x%~M+Jh)QA<sCUfumonNTjwfai^c2eaG_7c
z-8bKZV?#y>?yv;z0Z}CwJ#~}V=G8+yKl`X}GJl*HxW{<MAzKj-->tsk?)^+0v~%9=
z%Q;B|7w#GgmQcir$iNw~js1jRnslT3lPMxIKz+aUH3dv4PCFlM8zAa)Z|2_XnjzX5
zwpBd)=gXwJfTPxjh6tRWXA4M}BeF)AlV_{sp~OWkZg3wVewt%Y+hv}3814AA#Zew(
zyC-Z0Jx7W8!;#Y8+!u&k<r%AHQVwq<c@sEt#)<xx)6e+R7m2~ag74>k$l~boFsC8^
zB+<knUifIuGT~PppP;NGi}0LfBgW<_LRno#=fbm9BHrfK!FORYI5B7PbaZTnuv6}S
zE*8K*KHl5Jwp1exC)@k6Ls@e~7~|-UKw&159$kA?jb9qg5_SD?q4UI*1(|i5XPHUa
zBq249P$?)e6i1gFTp)~p7apEsTtjv_1m?tlkVI`+Wh^hTNNg@2Drj+HC&jHj@^c&|
zv6I*8XPxyjVZ1E)U80kd>{A`fta~GYbURsvWR5?CBlofC)IuKeT*hbjn_d!VY;XNM
zmCiseHpU#O@!=<T8Xb=gUlB*tkjK;!TPE@cv7dQNLXdO`XUc6X69?Vk=7R-Q7E(?p
z)sLS^m}H!y$BxE}!=fZQ*wShZ`T9{<04XC%-n%8^|G`%rKGoiw_tM!(wmrYS>chp!
zOqmU;346qGCp6A#Rfdb~IGNM6z$8Upoes_D$rQ)0eU|k*=6J|JiL{j+A7n`N@FaK3
z32|K29@?Ok!cQuCHk{ZQD^K#%gI>nON#Lg6(GW`;LDD28N03HQB+2NpWHkp#JdWS{
zZbD6%G>W=slEkV^mX`9XGVGQ@;d<F?=PX6ZhPB1Ye(b8`Ko!5-nqFy)jD=f!pAaYi
zJ|C)_H&iFfu6EJiHprqqxOhd1Rf-JlE9?GtLX-3}KXj)#OCCCFEc|+FWXNs&QJ;RS
zYLQO|11B{^6p_l5RoJ>ko*a=h^W;0POFk`I9>|+gLQ9wb%=d8x(lPndl8>xDDaxi+
ze?~_YdS14X-!3YV{{_7;&WkZ1*`p)s69?7NQmkyc;;ll8rKEXRH5roopHj0K#k4S8
zvaaKVnHm|>`aQ>i-H2Sd6!}izA1BWiI@?z$XpoVP_UfG~#-xL03il~N19Uz=Bqq;I
zA@_JoX-e|ZNCRdscj2Q{Y`sx<JL|g^`Du1psjZYo?i=tHe4$4}h`-ry@k$-Cb<<x>
ztsgYfI_>A%AQ3YRmh?^(QuN4c0nS={jWqIo&V*gPlqF)OTja7o>ybWH$HN9CXk=zZ
z!Q&^wKvCGo;<`QhWWo>KTNg%+NZZZIeGVDc(3tVqqSv5Lrl|3GXc$n*7yFWZWhQMP
zKOFI=Y*3%nmC`@;i_L(H;}fO2Nv?(d@f$psUh0#QML}O^EV|@qW&qPOE<4QL^}Tj1
zRG%zwnSD`^q(O$?CJlKj?Qo=FRrJg!J#wM#d&=G}CG!5#)s{MOdx$DUQ#5(?$lseN
zZyPU2lbd8Ca`ze9qsuWrc|~1^tf{!qSE(;ZQlp6PA9?NZm9zZL)Fg%E{qO0tJHbe*
zZK<xNJ+{N`IzlTeL4!<8v$)e)^_rl$sdsNNwgV~n#h7(Ql}!7RL8<orMGx3vvf7!u
z7UpjvW;3=aliL$Md2sAmgY@GZTNY+*v18-<XARF4$UXmjv89w3y$(^;eb%<H>MYLh
zOOYjcduguW`vjqtHRKqQX#=~1Ee9N)OOUKekG8Gk3u6U4TfD}sk!!H^Vx_$Zxp9+^
zwv4za{7uehX4_k1a=)`-lY{_yFy-k<8)h-QIGOmqumq3}DBQC#iIYq?YTq_=ObqRn
z0eL(MKswhiroRcy<j0cV8owWjVS8ilyq7s0)W>>z-RZxHhLF|_rH5kZlGN2&T4#l_
zz8lO8$G#JJj|-iY(#0_5IOZD@U<voAg2jQdHeyt6p(NEq4B5;X&iWTDU^70MZMWk+
zJthB`$zB;TL~M;tKhtiG*Iq0lPIlkuS?{(F&W?y8ciXxYUKw-r=nwrjcy^v1DXt~L
z^F$O|cOS3a9chN9m(AQ`=F9Y^>s41faz$acQ1LyY!xT)xfi6d{FhJ>Rp5yOxq7Z4D
zw%ABFMS8J4lhRgZ+;^*0mAWE|nLT;i&C5;DQ+K3Kt(6tyK_g~NPeoCBo5ky%t_e)$
zcAgUyW5*l05&h49L{aeIx|G2q8t(08c0W($gbAS#;J-x-QEsts(?G)$8>Jto^trKe
zKF0a)3o)#7r2b6rFox#wM;vUTyeQ8WA8K<IhnrwGt4^3PO!_m|d;jaXp=4Fm$DiW3
z+39*EQpgzmyYIV*e&R=FtXJjOBMDIYihL65jd0Szd%tdt0Pfg76?k?=5^_@hE-B$g
z@XWH{xsfjjiH~j9I1{DNv|~^92Q4Fn3pqu%923G-r|wXPG--r<sVsOpLq#&PcyiM|
zVVE1M>W!4hK<sps&yzYTLgK!R?cOPZ#JJ5*<-f_|Zcs}GEsKg8&lF+ft)htZPI6(E
zl}GZJ=+{?KRNS>Ud3WYtuF-1>D@)ttA>^Dt%jHAGwb6%qhy2AsvAzA<B|`zP(|^U?
z+DgR$Rcxs_K?3$0|GfFOMG;@+%Ct6kQbFwWGiJUniBtC15*?J4;P&pFM@=9V3LZVC
zo7$zolkHYJx~PN(Y46z5WGcj*hUPBw%HXiw>aW>0WoUo0w;L&=!jvVq&tt1BlyiTc
z*1N9)8<%AX-U%uM@{WBjxFZME!QB+*Q>wV|^+DiEsu42c)){dflZUOL>yU@H8s24O
zsb{1c;r(W=*<eEj)V+z*xUZ{@E}jyz$BRaotd8=bk18Pi*3E;QKh;sOZSl8jq%mev
z3KKc<6wxnrz)!eH1M3_v#i;%<#;*aEWoB0;j6T_aQ*whQ5^LE+uU@3#Z;bgRSw>|D
zsn2uLK4{{Cc+Et)wF%h2778%mSH@A#(`7N%6ugM%x9I<60;jmjpVDqB*dcwWmp7FH
ztIb>*VoyxbKmK9Qt#2xL_T%|%ZV?3!*51ED95egJt1U}UVpO3vcO!YvbqW@Y-<_*+
zGe>NP!`;1es#xu?>nIDRpw?sG+C7REkP^{~?%u8jp4Lf|Syl@CqoxyEXDpB$tl;|J
zeKqX-FVjpUToVkLI{CF#mgrJ#tGYj`2HbEvcfCXd`MW-q4o6#I?VVQzoowp(?&^~E
zyg?mB%O56Gl<7!Nvk*AJt&YAZ^}}YRYItok*8Z5F!;-JKoA0L@OqdKD)Dl#YcEKU1
zSP>XGbw?|<K@9^+)o-2~sDQQKqQ}}3aA7Lmo)Do1u{){)OkGMC*T_sIjseSCD$LGt
zsNu|iBe^2civPSGK|HwvbpC5zum0st-TZ8bS5N`{ZVt?b_kr9BipR@270AX+NDu9k
zgHonb<oSO*<W}bBx#*~Ztlfn=jcw9+V3pE!=>|YBuJgz~uZ-tSuKWW#B{8*{TIX;E
z@Z96^&8kfa%_HvZy%OSxUfNdQwhtKe<2WqJrUY8y()l4SQMlb=);MYloWb(3lO~Gr
zUJZ_~qX~n@KRdTb5Rf`6`RG-k0#2N%HsHM~2&;rE36_;~u+{}Nv|N^l*)NT_+tva|
zT^qKALZ{>LbQXWmbvdj%u0J;-!w(-jWfnie3V}g20*TVHusL{xBJ0PC^KmA_!=_e<
zGHK{3x-E^(gL1v@)7<#sds{H3%o4BW`!bl;Nuk{Rq5Fj%F7&6=AIed-L^01_!O0Z~
z#9q>Jd??F><dq+c895dxq0ScRzY)i5U35}n87Go9m>=E8X#wqJjZ1vxVhEjD;?PUs
zM7lxj7yiTM2<lPMb*K=<N#irujumjC+sEA1=!Y4C56x_&wTmFFis#<U948Ex;TI8P
z2L7C`%n=R|j5(0f^#`~Rt%;-d!=~^vIrm;-hcJX*8h>Y^aD#7M@^dL)Qygn#__()8
z2;5qSneVal;AT?#s`G#es$DC~95xDpRGZwkmxmX&=L@(s{Y?=1{C14ccR{R7zS~w|
z%m=Zc`qRskGz@whaY`2oLZfv!&%>G@5slO-);JnWbB*{OMhJr1uU^l)$dAhl0urY=
zXlQpoqowH~2+m7Wj}!?3*uR}9ZM$L&rQ4q?hc*c!*0xeKCR-5uGAub{OpS4TN7S^l
zzaZi=uYZv~EClUn*SV@LBP5>n9Ue&&gj*%^=S?xfP|ja)Tu3m26BrC_UJAn4q--_j
zhzR}~MkQ-&7~y9m&kYVSA=u1J2K>4tiV*g%0%SK8;}$Yce;pLUjgzG^ZjEBN%8M$A
z^HhjSTORM86T+-u1sema1S0a1zdUfKqIZ-wopD$g21OZvBDYH7S@J>+w<Hy2OsC#5
z$%=qiI_VB`jTG*P1bEbr8zOM;$S&135p+8yH+?pc!4&;spzl*dB+rlioXHVI3C-Zi
zVx25PMl{|O6&m7y00030{}h*ZJk{?T#*NJEy|Tw~tm7Q};9NpOOUbO1m9L^u5h}^7
z$V#O|itGlJ5{?<7NQ5**$W{m`e&_e^^Lk#-=eh6C{an}e?s+ihYab|%WVf-=H7$9#
zSc#{*BvWuONWhtTNCM+_nN&G;1sF5=UZ-B9;N7jtfm3dhP(b79h7kpL3~uaJPoSXY
z#YMRnr=*bCoqt@gT@h{d;ri<{DL8YmiQ`I!G_nZAi|?wG@TMy@y{(c0ufeD~t8N*n
z{CDxC-(zLS{Va9aKTbjQobvr)Sy@;HwTpesQvr4Jsh4-v^uRgexGH~I4hN6XC*w0!
zaVk=p>GUZ*+@8O~k#$@icQSjP2c)Rsxl!`O^)5Y3DfInar>=nF1-FpFa00s1W5QFc
z^|5U-qI`&P@7`Blf%o0j@n`1&;fiK`yx3M{l9Z>2{ENqgm-UH|e<i8R?`nW^C-cX6
zeUuQCIOBI~o`_lf#C#%~ArfSCS$Ncyac5h9?5`UdF!YVkCsY~Yrt69Ek?+bVBVOOB
zw?PvN3+G#tql}<AmEiFpT?I0mE)U-e(}bt&_eZ;&jZrSpm#%B23Z^)dz)ue}p{_nC
zpJil%ebvqlg5Ok;Kh^!8TB#<M{_J`oBu9nat=NQqUp2gWzBt+&p^0eH7pp8zQ+zqn
z^g;Ez8eHS~tqY|!;b`Gm_-xh`;$E-PUs@8NK6rwYD_jGm)&A}Qoo2B6uGsz}jsSu4
zOx?Rmh`6`ad%hvx94{qahSfeIz%tYP>em8w#ILg+u0KYDjbPh3@d^Uy&)@tJ3?(2@
z_haiUKTsODbff+r0j8&J53#7IVW~-@Kyp9e8uK7L$BzI(ow}2hG8I@mxfa{q1a8F~
zEDV+);Br@TFu%4kGE_tt(^>$QO~)JG=c*y?Ma~_!EJZw-TjF;c19WeFR}+&^1Do?`
zO{0JUnB`7|RV@SFMml`ffvV`eFfOu7Ob(l~1$UBG0B6UyA!Fq#$k8l%U8X4m?Hw&u
zdDFl|KN;UAl|jf({+SUV3G3>w(eB+q_N$6z3sGfsB>SokOpBq65J~BN1d#r6X$$Hr
zVcEZ##k5ESaa$khCS3q_<QVyy*(yT7dgxPhp%8o}`dbOx0b0p`Ou!KZxa;`$txX9a
z_d-jODx*IMBS+>|W8^V><(Np~7$1gW$`4MY)3ChNm2iKz98RXWZM=P&2erobA(gx|
z=v?q={E)K&RW*F9IT75L<!DG*3p0mau+zVy^)j&DGf<GQ!iiF;3vAgVX4qc065?}F
z3KPj}q<~Kxm@@cTZ??+}A1I&7<K!ig^Twh|Ly80QnU@K~a#OsLYKdy=6vy-kms?LE
zI~oS|JPwsJ#jHi-Imc`<5ZuqEC`7Zv;z&~%??o!)V%vM`<3*8JbEh!+4m+IWDhpHR
zP4N4swFos$1e{xs8Tc=-gPm%janqeKx7V|a;wyx~Zql;0>nsPZHDA1({N5Ng`Hp;+
ze}$0p?U{8tnG=@3KQ(l1Hpc2JfeX)^h43jNVXaz#3-|ZLEkB?eVSTB|iw&KEut`&Q
zR1x6@)1Ft<LsTPlyE2PpcnX3mWvY+gWIc$_4xd$cX^6~wSs6P71o7GIsb#`>9t`n1
zwW-kz;c<QGn{Af>u9TdhxsUL|i9?$yugL%f#E#Ez9}3{K<`T#J5q?NVZ}{_muL0Kb
z&r2}h6~JKJk(ZLO0yrW3?dr&gKGOE+m>Lucpegy7yVZY!I3(<LK>D0Ms9r&vx|;;>
zq-L4<5TlOb8C$|rDSf;)*1B-;j{sbs&WfzK2;-B<$*ZfCdbmiF_6@KQL{y)fcD<hn
zB&}AWwt4BHM*7U{x(q?MbH&GnrHG<+e*3LI!g|oK&VQ@SBZSui0|s*~VwkH5EemR)
z!26x?N<^X%HZ7_b{1K5rVe?jZqZkU3^1Jf-RE2S2=$Vq!NlE<pF?p=XhJvFt7hu*Y
z3=Piqrivd@=ydvNS}9J!&5ne#t;r%dyEa{06et7E^XekCQ)C#~>OLv-5{2x%s_t1K
zS#(B2GxZG_I}UcwGVc@v^#=1ngJwDSEwwwcJ|`p3>p<zOjW{@LG=i#I<WYD?S?+fU
z8Q~vXq@wprp#MOFQ`HLvRDN*g^>{?a==L98k1j}}B`Z<(P?;h|9Zn4GsUd^!l4YE6
zl@wz09R*UJD#5VS$^O$9GS0+_zbRqNzdyTeM|-t00!y2RWqB#kvpN#K%Wnf?9#rN;
z-l$+ZYwHo}b_!w#EuOJ_lSSF5&5bReRUs7CLf?9ug2$QaJ2S}ga9mPKFP&0@jlBnX
z8?zpU|C|_|T#?76FSFr;O9T*DzVDU{(Sy0Lo0mkZ0*+-Cd@lQ=4sFxoRa-WFG#J?o
zAIVh2-ZEN8%M=j`O-H7U@9X22<DccXCzOy@{itz6n+BX5-JFZ|8DP$9T%>u6GCaOd
zK9Nb(L}FyW=8Uo-PB7Oh1W2hs`M_(g9vv<46dfAPWirBOzrefm!wmoXOx$Rlr-i@!
zgvB3B8bOTd4V(RaRoGG%_he6Nq5Q48mhgx%918@mvpcKdj@?n!&NVFzv!pe1jF}+f
zdKQ1ovKp$dck>N(YeBgyEof$zig3Y8sEs7xa}e|1vwm8*|1wA<Y{?XDKffOCm?Pjt
zN_n$Gqb9ZlQ8fFO%^-P~?nBt54quy)$e1r0$nKYyU!FEcvotmCZLm6W{qnXyt|Vge
zy5i8McQn+l@l3?UsN+V$$!wOx>L_jzVhY&_47T-BI0Dr1<??f*sX;YNmSo{cE>PlN
z6~1bq4wJ;m?@!HCG3}PxP(2B(klr29?<0WKwPEUggfgmvN!Ct^7Erho;&aZKfQzHw
z9~r$=M8NO&0n^qNh^ervy;GqE{}X{zsSEO`JVpO>)6oJ35=BX5CWb#g-4$mSEDOi$
zwF<&c7U-AX*yXLQ3YVpnu4`J-2t7kGyRyXs!8h_8`?sp#tpeA=vWx_N$PAP35iKw*
zmUh>{Q5lrTyDzTUib6*J!ATV+3)B=k_}$*8g#YwMByP70AvCLuiM17&(fccdeTq2J
zEPgcWwg6IU$92>a!1&Hec(98CjxMphk`Lm=28Yt09$Oguy+U4cACSkkkfgll+qf~;
z{E@xkFAbL}V#3e0$s%lmOH1Sl2jZABqjcP8aBmg8dhe$UetrJ;D?f(~%_D}S%QfcU
zIcxcAic!z<zNhCr1=k_B-q3$a#vGLffid+_l87y!wOpBE!HX+B54ld8A!SdhVaAd;
z<kE}H&uFqBXTaNw`rZ^zZC20ATo%Jo-%2OJI%ZTJ|684+V+zHrJ9T6;QB=>oRNHWm
z8A(SuE`Cd(!sknZi9Wvw=rTPwlN*`AB6x9s)3gb86unklV-iN8m`Cm%c@_}b_QzH3
zF~KBD*64a6A*lKWk2MstKr8=qkaUGHZ10(MBr<fe!aJ|*r3WjNNBv_7D#q~itEo@8
zB7m{ZO8!$=hvs)HrzEZ#!RanRp=*X8Mb2d}|CzI)WX|raD2EZ`lKHR9FYzHMJMz8P
zes*k1d+K9(&Jdb@<$1~meBf0{+kF2T2coK1I_j1U5Glv6E1S!UzSE1BVkS93Ov}4l
z7Q)DZzM5C6EP26KXzvkufE$#IPgKKIeZ1>#PvH~b#s1&BUCYPTLw9R~a$u}Jth`CT
z>^XT+UA#-7F_{<tib>ZJL>c+B@=&|D1}_vhgvQr9@Z+uU&VlFodibRl_C-3F7glo5
zt3(-d5+6R(NVL#{zNy-&;}g7i?eg4nC{qyOmJ$7mUny7%Uheja<%3^okU+;{A(U-u
zpC7+Kfx7b6>1#Ipc$R8>VflkF=A8Ez^lDO2l>K?{F)0DyzIRyyzbFPS)y?hvOoo#M
z_bIh|0(f5^$XT~v4AHe3Q}nB3yofu^mqimqU)b{57P>g&o$=j$U`NIlts!->SwVQ2
zg*vtvOX3Jq*3u&>GL|1)b{Kpjg!hVit*xz6_(Qh46)>&~=u3M3cSRVPANI*S3X*}j
zt48PJdR>T8o99H&ir{6Ue}Xtw7D7VK8r$-8@$l$)zH@{qZU|l3n#UuL<A=61k*?_?
zC4aU&{gxP}W&A$f;8ehCswIzqvM&By?TaV0iK8IBVSrsw5gnyNfux(d;POkP8463H
z>GaWqW-3bPDfVM8eXNTkAN!IT{iPtjB}PorN||w9yR=Q8F5+6rMv330vCrSmcJ`<W
z7FTQv4hWH9&cSu~H^X0Cdp%V{Z!)-pE|}`%N=9+|rOOlR<rtj9viE758cI&yres%>
zvEadX(8pCCJ6z-scB~T65$WX<t4BeQ*1u;IngWz5MtP!|M3~$eOVX~TApDR}SG%er
ztp4b<eA%f1@8Bh|Kt>)Ia=&+Ai?9-e?$+d{9@0e8L&25?1${I|%Z+NVC?iK#hpWO_
z3y1#^8`l5UN496w$EaCltXR(*NRzeUOc);s`euOcJks9}A63v9{8nz=H*Gw!6?*DC
zXb9Kyo==slRPpBY>l615=pge-N-EcHBX~%3Z(U_@6nP<`EjmjFhGokNuOv(m(|V>N
z!;t_n*DDPgjP<n$YD=j#6|~zfR$T1r_|U9p`N%;BHEeCXqd^Sa(D)&<J6#=Hm>u1Z
z*J&e=CEwv@t{KEcoLuU8h`7J)uy^`5E&NnsEB1YD4j-O)0sZ|%Y)jx=zWGcO%XFK<
zmd`XO|Fxd9jv}HXxFpPavj$90Y+2U!1s;<RduLuCLPcLsxFACvF2>jWTKa$oi2}j$
z4n(Lb_2g#MsX^S@_&$@q1-z#RF0ET*_=|G7@4r_nI7=k&7zwk$8B@E?FXz;8hu2!7
z^0^YSJTBkxEwMn;T5ieZUIJP!E)zf8SHQE)uQvI%Sim!zeuzzg0NZ27Hoq{JLvpxK
zNLq&lywa$XYD6_Wwmi&gb3huuv->7?Hdx@N#oKp2nyOfv-CgBhC5}3$=N=dDTj0OE
z2>oOk74YAkBMTlAK~Qp)<dqN$q_RD<@nup5Nw7Gy<Fp{|5!|BR(k$@N{!dcMXGM7K
zx<(pq;6+&9w&N8H-g)p-;w+hwt8(P;HgP#};Y=N`b=E`RS$n?r)OC62`Ovm|-DQKJ
zr}wku13=i(YQys@vf$fg`_3kV1x3lVqHY|(G2-Q--~BQu`qP$HX21l?Hvb`&12mZ1
z1x7}FkV3A@`{&;Ee`#sHW-ToYPHgaW$|cN5fV;VWy_4i0ns1A>WbT|9`urU7o)N^+
z>%O$tYv&Se!8@UXN;8A>s{pM(QKI;w`}pc<%SGD9yOu8=#hXIe?|IPYbs`A#$TbuG
z^qW=`KAzP3iHb(|2)m?wAw2v1uj1|MZ`ymYn15SIRO~plC${9cAmq273%#1QNPB1%
zo9i2Ef`K0E%?F$XFnl{^IXhvA)^L*dVDz9dnyidfe>C&qG249;pPpq}T&TEgjfF8f
z8|_u4<#@48gY%io;T4*)|9_2!xkhkIiW=Eex*j@QaTRw-|7cDAmg;|b7<p{oupQyt
znE1yX^G$n=c3PAvT`a^99j`9feZ9biE<d-lpCwFK@n}K9m;qW}kK7ch;KX=H<}R&|
z%=kxUE%tI{aEG>c!J+~u$cB0Ac1yEDuzDc(evdxB#2$D*QqF;dEoUDfU>%qZZWKD(
z>mzzwC+%Da2fm7Remwh$4J=lEg7H0iNXgLFDDdQfcFvA`L01mgU*+ewb=AXD-Dj~m
z!HggJ&AdNkkrQS0h51!u6r|f~MlwI<084T2qZ@_X2yFH*oC~4gOIwWleSS`8pRi)i
z3*iA<q}C$|ehLIFZ28`%a6(T(M~C3ehZhmH+x8cbQEy&+mED938FtczGbW6FQ!edV
z+Cs+Eq3<2qY}{}&v50oxD~Q1jc00(^x@gttwL3A-4T+HO<Z}^1NcGgjfplGHp4xNO
zhLZ=PU%G3D>xJ<;z3XJZjV>aU>Ye>9cyUZKBHwa@DENDx709#dqGn5l`M@1M*iHN@
zvrZI4B~8`mNgW9iG_{MP!U7mNV;P++ErAec(R95_BwU>Q?eT6x0M}z&s-D+NLeS97
zz{!P#Rlbkb^Sy$&nC2I!eo-3U(*5ecD2)9?1*-BVA-E5XNlG*H{=-jWsd;e{M&%vk
zsK13_9<$%*l)oHgB}x1N93(`kL5!auiUbvz#a;&QjO(i0&tfHEzUIO6!+~OmG2Uys
ze?kG4nWf?Vyd-d*+;(ofTO7L*itL?al;A@2^UGBu!JVV~hmf5lRy@lUNB1eC-Q{g<
z_8t<{PBH%x8ka)Q;a<s0`6@87Il7#hL_(|6h2-j+GB6hUYR$>Wv#ct{%??8(#9b;4
z^YxSk)mH!B)`JAlvrqfAZ`VcDNj1fBMR}ZQiLKPFQ->!DQM~`HF7D)K5>Lu1puc$F
z(itTUJfSTq=pQA6n?I%5K}iwJcN<vmp3%h5JBN+!l_+qV(=fZJql9A`+PhyhYGFg+
zwXar76fmtB#Ck#*T>;~I)eG8)Yw~UP9oIuZY}c36Jt{cfsv#x8OhOvTR%HLOKD=ZP
zr>=Kbh4Nv^{Hfz4_$iOyj8`&b<VfmWt|N@5(jRS!t|j5i(_Cwf!$x?bCY`F}ML^?~
z&8K8$Nr?DO`8H8$j4+Gc{hmA25t=%#7x0^eS?7%#<`k$9tkq>bFGB>^<}_Ps2MLR|
z?-jo#m?HZ>j|rhRB4&m&-WP_FU~j4ZkZs8fTO-d8uGnj!_gb_|`Iru#25r);bD-gg
z*f>wc6AdgHysvjSuZ^+Ed#USffxBnDqdJB(@cYQys>&KoxY&`02*W^NBljMK0S#Ox
zFgx;>6Olx*uW~<Zfp(vf8ohiCbX>iu;(CIBomz#vO&NZ1-S7m9hp7hKdVBVSajN21
zhpeu>{6^G?Ek5kaB;w(rZ(*^Ql%VnQNXZrZjTpTeQx*1J9S`Q%ws`R}{79Ej#pk~f
z<hODCSzihGH8%3=#-<JULkq7_2-pbH!>-P!EovB5e{kErTml*Hn@KGDHe&ouhWeKq
zsyIKpcJy<U2;!$Bz9o@1BD6wlGJNm<`T6U;D7pY{U*HMgTCl)i&bieQR%LK2o_tp@
zzzsVgsn3-~7Vu}AkNs7`;NNuyzw0P$$dk#}?qhIPb8A;okCOsSYj?>{1u~&`<=-ib
zzW`bDQtC37Jd7qk&>t!+({iKlXa?N^T*<X}3omcLNp8326$`&;4Ka0{mkj~)cV2w|
z<fQRRf@r1UH%V(5iym{zp&_TDadGzt30(UuFyG}nOnXh&;j-v6hcI*B@t{&M<o1v(
zn-T|T%n}w^<^1M&*1FgF%`*{1<Q+Sq%G6J*qrK&k*lGrsv9JD7--R$o{w(VFrH3}~
z;h@yc7*kxiDZZ(dDu@B$Q^zB;duV;~Ws5USR6GpyzsYl&A1YSd?uo&@w3%%W&h6!+
zBIENy%D*Na+zWIRZ`;#P<88g~mFsMRyl+tjlAhe?Y0Uih^T=1)p@&8BQw7G@6W3@R
zyoD28o`vRz%m!(1B#nEO){OA0eBF4vKRY;HAOBRSGE8gz-K0)&Ho~@5Q{~d$b)a?}
z*hY2!LF=M9aWg$P#N}p%gn}?uu*vn^@^7A?RZ9dV`brx@!~EeoS9=zSN(??d@ZSvW
zvA5x@OQZp)JhR?KZp?80F3`l4{*yMl-=Fw!Mjs!|%;!oom~b_FX)jaq9BsqyIab?4
z`bb^ed3=<G2^$|)o0r{Mpxs&jBwMXp5A)-)jzq;Z8pSMz_1B9<T4%wFuSz@hK#HN+
zy@^|;wLLN*UYc5_MaL}18MIQ66G=Y%MsJm7!>6AiXZ)8IO*D<R-%i2GOkFm!;wmlT
z#H0f6omHAi)m@&jcVv927z<t7zDm2)5x}gP%7l^iA0~2L$Z)AlEfz0ZrO7?bA0ho<
zM)K_BK;Nh?db^SfZ1=3uo<;1;FWAir9=qM*@*%p|8MiU^kq8rf<TGb>bgqNV)cWRF
zK3$ZjT%7K@#i&b)<&Ur*qu-YbSk>}L;PK`SxM9wW?LIzQ>MESzYtku_-bBLO!{mw`
z|Cn(hLhbC&e_Y6HaWa*Brvp))lbu(4S>W0tr_Qmm9_H}}w>rq_K&<KYu+uwM2>8++
zOyv2nC;Ex8Pp~$w=}hUr{jm;yI}a^4841AgTi1^teOjQ_UE%YWXNTSqoAj&@L71IM
zn2z791uveG>#Gdk=buSG^`T1$j?h{n*J|R4*_lme7`|T8Q#SN?y9iF0ludu%tcfD8
zO&P>n+%OJil871-MOmKC;@3|a$f;auiT36}-Pb3^_il-UyUX1!BSM4mu6Rq$5AxwT
z_tmof!IJo+yjSLfp#~g_vUa6!6u|EI-UmacrBQiswelLX2L8-VPwN~LL`JQyzwzA-
z=ovY&VE&B=dyi15i83LEZ$A|0Tad$q-x=2AJ|Z@IO|$M66@j-tE7x{o1<e2Qwyl^V
zV(`U?V{fV`JUo0Tj}jD-ZawpGp915aHR6;HByp&jePfSURKmuu-ECJ+YoOv&`@-QV
z2{?R(<J2h?EIl^p99h)Bdo5Sy-LIuU5nvm(=TL*O@Ygb*98GAh9|;<0lEIeMX;ZNR
z0vtj;%Fab<;U%`><*+OcNk}hka%AYMUhDjuo7$+=>AB>PERWAEnk!*EnlQY{w3TO8
z2l*COzxAsXFrG1YA+lBrL04WfJ2sGD>{CW6T2w^%f&C>~emcl4r1Mli(M5?}Q@%J=
z8H7N;cHs*o5IEBG*R_(N<(SPp9i@VIx5dNHnCgP$=~2tXsfWi^Yd+UHRN=;*R4(;}
z;nR0iCiIW$<7`!E(g6tqru4P;gfcj@1B1TazYOrUf%N>Oy*hkI-iJG$knvnP$ILL@
z2>yEO7rD+8Q6B!vF}atFpZ4l1ADv7PVK%#ZE>Q!g{@dKBTStcL#nZLRYNiN%B@tW~
zs)?b)kMmi5$tbL97ytOj4E0xilUj|muq8IKTjaein#k9#zOSd@QWL>Vmr?&aQ|gzo
zMH0%7wMq(C0N1yc-tXXH@Z|P#^}Z?{IMy~1<Ih>(ue0|#UomZjgp~R9$ZH|PXudRy
z!0@TwsI!!QEry<aWH%rY(P%@F94OrgS^bb-!uzzqdZpxnF{c__`MwnANm{~*wB>xq
z4NcrUmh@j>lM+1MEET!!v&8w#iI|Rb4G3t>@cp_h5A&);o}|;3_^)%_zA`T&j>^B<
z8TCyHNk7%Xl1^B{_hz+pIh#6C!>l{z#6@92&=DcoTB3RFK^hk$#D!{myt)63A9I1F
zdsKui@l{J(Rcb;7tDPpF&z)n(rkyR<;%Yad{KUt?H7jN45&pZ&q4SSc^)z(c_0UE{
zJ8WKAy{U-i9hKLfF3-?xWh8Po&Rbx6*b7U;1$nsV%)1+Nchl}_we8Z1us~u$`RvFO
zS?sO4I@4C!LN8gPO&sL5fS$o@jo}?>+zcuHw!>$L-Wea)>7D}6jk0ATo=8C6s_nGE
z(j@(S($rN^X~36QZ+T=<6w6Tu+mCnsq>m8$xe~Y0FvPmt;^!+28IGsN_A|}X^^E&#
z?jJVCp2llr9Z^B#@s~TZn=a5dq}chMj5C8`?wIVoAzl<|HxOJa7wE}6fk{D+O<}2A
zypqDg4SuVA3vVAR&<RB;9qr$!5KU*d+!@IZ{s!{V2;&9%meijc4@*)(sN6qYe25iU
zch*xT!{+HdE!-R{jwZ;Yf0Zn{%7nZ#-W%f+=jhLCg)OPKje!^E2P1X=($f9^1r){o
zq8}G5>umjDgtu>$y$`f4(wg|fzAFd+q&u&!4BDC)!9LuHZZ|nclPLIle1rEaJvM$@
zVqmf%c+}P+6ryHnUNP(?_Vv^BAD{CMeVsBuiv%Zuk8gsuMVf7A`^QOoY*f<09lHz=
z!#c|T<J~Zg+%V5Ex?zIeRWV2neX7sk+ikWR&A!p%xm%Cbri{_oPiKq~<@LcCZQU9g
z^pO@dlR;20`$6w4(U>PD>cKo`@{~uwd)i9$hEXQDQTp!m_Ofj(dbkwM$z7cEnkFi2
zx=+Y>gg)sPao&T$S^f!fJWa>wwA;aZJ5??Z)5~0T|JpuJ#`b~zIg!Env?#&lxw9g}
z^sv!z!;wHTq8g6}352B56PI1ugu1@dU2eoi3M}ZtMKz@b)F<?Ws_?(Bn!nR?hD@$M
z4AsSUNqebQv08c{|B<xhpWo?Xp>Br?7~JHdQfwR_-bD8+mFvvhF--qgef+_2A_-eH
zU;f7#@`nCD00030{}h*bG}T`h#?55DhLG`^XZK$7_<abGkRQz{4Jv6+A&D}iB2k$t
zq)1T_iA;6B6{TdTBtwSCOok-N@Ou9`YwdN;Ugxay?B}z0zy|N@KHvJ7yk|=1oaJfA
z<S+G%yYi7K=XZE_LwY~cU6T=TbB`X9>UL-OIyNz#QgnXHUmIYmj}N3}#OXrO;6Sba
zuV&_nYn4Kp<%3NBO@SZJGj*WM`0LJlvz0k=s8z^bVwlOi5G|`aqm4D93XHdFzA<N>
zsPEYMaD<uCZEhaO&_?-=ppyk$UCc6hC%1*5G3H;oc#)027PyR02+=3Hnd@wYrPf7`
zGiTKE1%oRz5qteouFTOMrf1KhnCQR+b6+t-fs02I+`^mJyx{o3OqMdS7t)(ze%d|l
z)wD$eDMl<yWN{z!*!W4BecCT(MYqkt<^pw8T$Wrje13q*^@aCmE&Vt1fM8cFn}9lQ
zXrAKJ4jp1zJXm*9`PU5dYxk{Kk0WZZQCvD#l0L$uW$x>C`Z3EqUa<B;eUmCozqfMp
z{v2bPNpHB!T=9>&?(iX@V5s7EfoBMZ*#t9fJi+VYfd!_0ZgrGTp$b%JcD$Ualgvl0
zj^m2#Eaa?B@QX4v6-2CWO9_zu#T4DYSt{M1l@tqk&6=2{j4Sblwj$Nj%umBwL0bIm
z<Z+$Vr)et6cz0m;uAfOW%m-bD8rgLmr2RyfZtEi@lvc|=Ka)7i)ZSOT&i*+UIrljv
zZp=&xDlVg@cdP$0MSq?RE$QMRRi6K7>~B!S-87-gCAtetj(5)=3YzheDMDZMJP#?t
z!)4uk+?OThk=~B?9UleAp;RSPL5d<aD*Ntp^kO9|UwKw1Z4@R0y}S4RctORbjy<P#
z{9_}}GB0pg3{l8CEQi%uPEuj_Jx}*DlY@-suZq}qSCs6xGkx{Sj0*Sro93$vxyUzJ
zoNk$y#K}w2$^Y8;sEDC^UCa5xLz*gYiXP0AAj61{QXZoU=*T!9Xhq{AuYF%TApcW}
z9A50yyx*ySsI7eMDQ^VG$c%-4vtu%(RaVrC`aT7W*ET1yy9$#@-LVNgG<h;`^V5;-
zoK$2)R6pSEq>yL4#VT1OsO00f)p`lmRP35KF0Y&*O0qW!6|y{2B%?n*G&r3>MaZO+
zob)kqvROg(_;ipm+2y?H-J-H0M7HKRUksKYS2{D#3VW)OA71tm^DT-X6A72HLMif8
z`Geb`yVXfwqhsIyd#wb*p0hPbQiimPAE}x?uStqEB&&TNRmR@0d^PVL%aL|T`iXXL
zw8@}3%Sqpzs<?Q|ul8+)0_j+}oA;fR9=YSU=c+v_>W~tD>`gINB%=(8nVt$7DUtq2
zGr&<3>-Xr_4!%_)FRy6s@EM|$R*55&o-f*XQevZ^?yEw+dPz6Q<<}<%U(Q?){j7(z
zGh10GGHT@X7&R|;l>zCUF;%K{mk!a++98f6buyu&o%)8;kW5_}lEs;-09Qb$zmL)I
zJ;ly3nxt>C#cMUDAsOBgoG@5xh@}YEvs?z+q?eEVdmkesk`gDjX*JCR_gictOsaH9
zm(g~SquY!~(XF@03zcRFm!DZpXzP)ovIfbV3PvPtb6fqJot9{M)!7GK8tFdr&~yHj
zA^D^&=IjzHkTrRHjLf8wmz*pkExirMg@8?MxofP^{5ExW$|#KtqyEbc>|>C5yRSW!
zIbnmNv^!5VxaeddpUhz6^4kCVbA{f?)v!DLK4fZSIgi@b{l(=vWPHe$lu-v;c)AD&
z&85-E>As;lRW1$k_&EEfv2I&vweL8_CQTz_ioREV)=(xLoFaP|7Ivs<w8(F0(j|)@
z+3zKu%aQ*3i_>kk+kw8q<)5pP4jE^<H#y{yIJqayZ~bL^J4Cc*>IKoY$gu2^KBsnG
zGJwa)#f{w#t+utMg~A%7kSn9C^zAJ3MNRV=+caCuRR&ca`lL#tOL66*;1%Z6*Z%k2
zq;1hylaTc1yz=sUj*dun{UY{lx?P+ey&8EPo=37R6v<*$ZI8fFR!F2OsE+)!!N*4L
z$il^C-K*}?ED_+rWN4?!CN~=pcX>pf6-bkb-A~1mlKA1m&??(rY>naqi-Dmu39`E3
z!n1Afgg`2|v$4xrV}l|u#pQ!2slLSG-~3w`&685@ikE?SXJLJITVe9p{+`w=X%sXp
z;OrxIz?bY&ndIXorLTOn|L+$C=eI>DcCi!SEB(A=ti(Zz-F*2bTv!AP7nN?^6taQ`
zU8%bJ>H>4!ySJH{Tq39}D^2>KVTqr+K0llu{>9|q+Q;|w2L**WwmHY$EO045VLCdr
zpZPm*-`o2o6s)Ft*d32D$0y1Uy}*~XOt!z<I=)3wz~XIH`n1XnHjf^?NSv)Dbf;9#
zCTyYL!(!Z^v7i|yZ1S??Pxlhu7b3oS7*kMR9IYp@%M^AkR40+5pTxqrCbzQ^1vk#0
z7>=tn0T1!RI_$tSarfnlKgkLdM5(t`&C8oW>}MTid~ueTo!Ri>G@XKH$9k1JV~o){
zu*y}Mwm@X~%6Q+~M1gPjj>5WmBkWfX5@5N&f*{V+KhB917`NO_2n#TRNZmW0yB=)t
z3gb54G)RH|)a};S(}w82ot>A<!-1VASGXPZ5J8S?Dm^&Z5HpMzL8S+r@astQQfL*y
zy0i+Jn_PxyJz&C!Be-$Z{j$dQKv8)0jb&=zFhGHYRz`O{4^~bGnJMUsLG^j`g>?)A
ztcku9pWw-h{6W_ZPD^4qpp*Vb<&!>UinRm_CipPm_}l06usCj(vfZBv(#MdQ=gziR
z0o({n^wF7I3Fi^QRZvYIPd+cvwi^jS*X)FNqlhFH>BqwxzA+HL@=08BkT8}K4%O+d
zm%``4^W_CM8IT(9hzaqcK;ST8UzocJIkkVYEq5_MXIWCYw*1b+H*U_{mzM##u{ltZ
z&OoTyTB&^-MbTn-dfMWNEX+fNP5$vRU}1Ir>hAqw2-!L_>a|NA61z^1mX6brTJuu+
z{Y7!OxcnL2lB@vfh|slG-E{bs*d2OOu@a4S<MB_UsZiR}*?6^sj_Yw7UeB{gf+umv
zS2RWuVz1k~J`K`Qtg%qwv_%T<cR}7SSqV_(KWxm-z$#5Gu9>P;5JE)VhCF5Ld2sR*
zw=M%lZyY|&td@b#FDZ-nA5`G@PfYpxK?ZaddJeaJkwrwue81t8D%NlMZ=Y2;1N|<<
zo19bfNT1T*v2K+*`nJ0LwUyJy`a7~u`<L&Xw=~~90}V{u%HC;7(Fec1uEf$ZSL>c$
z9a+6g6Uo`Nw<pyMVBp9#e`SXvI0aUk?F`UD*@0C<#tjBI&@xb*=AeY596n*mf!c81
z<(1ZR*$^^ee5UvGl`+v(mUz@t2c~j9Dv5iHusCSj^;kv)MGBnnny9+aYn)>>bTvlt
z&p@g<iz+U?JmR&jLKoCafeDQ+Cdjxj>f+X>3O@M(<$F{;4CZ<G2kkV)>h)_>lkchF
zp>4*`o^^T{h|ebVL(Sl6Ec?{kOC5J}|AcxP>47D|cNI&PIX2|DPb{!$K=PT_TbWi}
z<PBO~A9`;AA$eQNqG%1ApZt><%+SSZQLbMWKP|y#U~I25p@E=J-`F#4bf9#HD%-?K
z;NQVPmK=sAZoAHQck*jvN4I^31t*}>Sud;aqKT6ks(<rRG*NVyul8XuKwWI~9D*k9
zaP|BSA619m$`V%NZeVQ#{~jq`O(eSQ6S0y|!}a)-%fb5As2%wDZtDXL@NXI_Ij*7t
zr$WA>FUPIniQmz&N*V}p^nH0;MG3Z2!!u{nt&tXP;#V1@4$1O}h8-$YyqMc_;9QY4
zL?_|(H%|>*E2GOV?v(?ZRPSu*vJVGu4)v3%QN_ud;!~gUSHWk8dd0PDYt)}Vu{U^G
zPY&dIm0WWP44zzDymZbQM=zRs-6xe{D7MX3Q&J2*_sq^1Z(QC#Q?{u0KnaW!Hd<HK
zQ6TEeW*IMS4Kh0;YFC^hX4N?c^vVPvQxl}+@fA2&dR$HRI2BiD#@9AnSpir7@TvSu
zK;kKrkkTy*cr3;$uwIf2M!6ypSIhvuKf(oHuF7Fwl3=p0Jv+Y7*88~D5~%FzSB{O6
z!5ZA#$RohIT%YczDrE==boY22OIU@!tof_j$`*-{)`F>GUn{U&zU!>Zl*Ii{orj;U
zn<ti@6jlk9TjIM*{vUTf30#ep?s-=9m$+X&_(6Y#B{FYB-VQw_4w|Un_=}HogiX{M
zPW`PG*ztnJJAhXVagIKT8nJW4Tk|K|oAb=^StEXN^9vCa-&1N>S35^Y?AE8|bC|<2
zKCZoT*?&JAc=Y{F@L%HUkxM@EJI&DjdBuSbvBJ<cF#G-H;y=QCkjLfdb5jVhS60@o
z6+%><RNKyhc|yN>7wZRkQ=F|Ef9zK-0BQ0<W>3r_@q9^>#pApQ0*8x@Z+Y`0NtETh
zwjm3|)ox};Pa31_tncHkj(lKr7~F{?Sn;Z)!-4K)4Aus!^yA&UkTY{|aN5lV^M+>+
zZhtm{+NvpeGJgf6`c6j7r?NxQWlk}`$q1_llv}$rS72LH!X(Ei2Rxkbrc}H&L?_P$
zhtwt><i;Hv_5Y6x{UaC0A{`77^r1++DwhXxA7`?r8o0sbDq`JJX8^rJt;ES39^BeG
zPh@+qK(wLy;`k;5{ED4+qc-s1!nqwKisF2byqY!kp<f^3pEf3j$*jPpaEGOx-TVk~
zdh2*QSRYmP*KTLWuYl8KVMf+FL4+hb4%`r3<^|p0{*)RoEZ3|HukaBDqvcHKuR;d4
z^=-c+)yIpOIA(-v7zK~lcZpAJV1T2~DnaTkAH?U1xw#&QfOnpnJFrB@eKvC3tezh`
z&UXLVKPZZgss=v|3g|dik|@ddPXHWx?O(Yq#X+r+@^soy$JImK-5XtmAf8oIcq(@#
ze2#zL`&fkz?Ig9yt9ym9vvI-FQBM*Thk6_Sj?nOHzF618hyo^sqj0Q23P<OcoVv<s
zcsKGqQ$bb)RSx^Z%VVX%xH!O}kw8N;jF+BBiQ-RojQ59qvgj3>*MAv6!?aac+6Qeh
z;Ocn!<PLclR=Aul*h52{T8zBbCUJ0El#_4D74YD4OTEGl8uX+*euvyxi48n^1<k%t
z!SO0HWyd}mh!`#t_h|{(govhiEh=K?rLv5cP#WqS^W%gMNI~Uio}jy-G92O`>dW1u
z;R}1>t)}T!m~}QOydI>2^P2W#TQ?0R1({`gZpz?%V9pcnH>!}#G~ut;qa$Fl^A_)B
zIn38x4ai#N&gjKyUNVu6Z8sbZh?NRB>sjU!d|U%^T_pV|g@Gh{$?M;EsbH&qloeH@
ziCf8bM9_T(7L9({9^_F(N6di}S5|6+J<liAXtO?)C*^x5`IT_YXmf?e1|1mHJR46_
zHo&$BvEzf{%5c&>d^Y#AE~+<lAK?-(gr=XTtb&3HlK5G4*N5pLdV6~m8^s8zO6QiC
zYN`;mb&;^urr~){=^i;fWBAj9zuKy+;p1i(o}3UGKGlrX6z(;__wd}_%QEVCKlj0S
z@F5LW(mQUH<e5TuDZg=cQ5}!Ay*(ySOoRKY50+1teZY?r_$uz528^VSK4ec^{?|hv
z*VXK{fJ4sUSDQdhoVZ^-Dqv4TgGzdM6Vnn|&rWM&NfRo(=l1PR)PuCr5u;`i0$YyB
zU$oh&1-sJO65iFiFg1Bt%FqC^owAgsu4=(WgJ-<tmNrIv?o8*D1Cd*@8%+|m;OhD4
z;MOOaU~@MQxMymO5A1K`&hOQNQH#gOomh2fZ*Ci|%CrXU-iYZOn-**Y5~n7tR3TiG
z%a!rV8b&H&RtJx1Vtd_F9kFjpFc|$?IHPHUHRt8!+=?_Xs~a`i97qMlY~WC(gAJ1B
z>L{1%)KL?;bKf>=Ian}R&1ao$;H&<xT=b0^Dmu5i+kBJ)f3a%e4GSA&KRi5nHA@vG
zqkVrgi^VZhe#FK^!Ul>bPyFFItOELe`Iesx6vX#QDc5&fBdPOj^Dzx&6xa8Cm-ZDv
zWBiEh$uw)^{P)S}NS7jxh*``%Vsb+&AV|Q>*&6XWS|xl*RFLr{!Ob&lSfBRav+m!3
z^1qugH(V94QPgg26W=0nR<1C<^EyyC)bc}FO%4+&deR%q{t#;y9!%Ss0JmM-RkYqo
zV~>U5;8gt-G2d`q?c75GvX*P@T4SUzQlupvZ~K$T7k!)J(r1OLhfgAm{3I~(=kQG%
z$`Dc5E+;c6Zv{VUq~G9aal9|td{6XA9}y>*kW{_h65d{JrF$NW;#!)2q<woYajz%=
zqiGh9xmi^x$0q{Pkv=)-&`UTTmb2mgZjRB|`x&p|gdw5uQYenuOZ*czl#A6cNA$BR
zgHMhNqTokw$wB@;qO*2yN`9aj-0n$Lj*0MN&QRnIC+7embN$V~*cwwD$bBwY`ga9{
z*Q5#GJwHU8litSAUgnOt8alO9dC--6{p{6%QKCWq18Zck3E0~YQgyC!VOOn=%jU{)
z;@PoCv9LB{1iSgfTr=iGnohYzX!ax_wh<<R#ByI(-d<%V&VgI`z5=T*{UTP?J#&!A
zF~U4G#AUlG`*NOlRr@aeCYC<sD4rKL!a}|ekLG?htW}?v2)p}-5PKLfyyk)-Tz;&-
z;?l&5A%lsuKVRmEgJ!q8*DV;}%BgExUL0fv<*3*E4TX8a&vV1X#ghhT+V8%nMvWEm
zokEdT=NE}`*XNSczx83`^43Xe1uH&@P#!j%W5J`)(VCd$xntl=-QG%mR-{Gn7R!8P
zg~A(>a9Lu&w?x-nn$C(I-?6(=7VNm>|KGfA3<F$G|K-g4v*Ovn);8r54!l>3ayTu;
zz{KQuQ~3YSQ`BR-*Ki@-d0QWQ9v$jy?H(y_X2bjH&_JDOZZwTN=$f^q<0#qr^69cJ
z6(cvytG-x)B0v9xknc3uS-yVcQN)f+-Yj#4Tt4WO>Ha8>prJoWcKyjX4#aa0$KELw
zK!4rif?;(Uem-tf>$u2?*bk}g-V;JNyXB&2Mvfky>P}z2n#F~Lf@?RlG%29pF7!Uh
ztA}T~E#C&ZxH0e9_ubZC1n1(c2bF_#p}iDh6GW`Q$mKJ**&+&lKINFCDIGjxdBP!6
z#S5!#Rch{A#PPDsIQK`e4z{#k{XTe<A7u&c)~T~A(ambqyGuj|!4ijLwd@38!01m-
zDV4<P_pX`O%e4{N|D#1$Nf;>`P_!v^6-LT5+%^YjBR}8ZkB~V9KW0iRUS`VRLgyad
z=eF9oG?dYn;46Z(!9`k7qug@e@-V<eOB-U7EALB`h@zqU)qMLk1w6IT_qe$n-%J^8
z_$e*E92ZJT{zyeeeB!)>qc+$oEK1yOt%P6#?d%R^B|H!Rm+y8#8%_s?I6SN*aoL5Z
z_D+m4UM_T)c?@f#muvIiXY*1x?=54Y$gT<#p~?QlKppt)mHyJ(Dh<zIYTKJjYS0f5
z`uT&Vi;$f;rB9aUFOPB8!2MJW#OD}TY?0GL*gxakwd3+glxrAGU}{1ua>|OLNW=I$
zfgXPmDq_#SzO>a#8y;onZsvTZp+p2N&8CX*H*z-<o!3GB+if3lkB%H|FXlsECA^Sh
z%QKGF!warS<&snedTb4cxwDngVLvvbafXHfE-NmbVtur=D(6V{s9?0JEmcsN4%Vpa
zN0?Ivm>hchNLWq{p0&=~y7K9;7V}@Ex*H+9sJ~UgT^$wvI>(DwGVpwZm$Tz%V{}RH
zca03zK#qcES-Lv|+ToJ+GDl3I=YJ;UR;(rl4b!{zb}+!|6~4<>#vJRHY$EK!wII85
z*w~K7fM>MLHQgo)aPAK~Cca)9$0LttKd+|a^<B>q=NKzUjuHnZCbUshyT9I8mX7+1
zzN}v)f%F#JTQS>pkR%fzooYfu+V)&*>jXq1O&%}A>fl6loO-sIF19N#hSB1e{ol^S
z!S##|1X6~It#h;>Sn*H)hKdcYUXWkWqN{`HkZo0hAJuXGmkPAfZBV1ds~Mc3jffJX
zvdjh*cqH5H*ZpOKTj43Dw>~d(Gv-`cJyQ`sObc>rR99pFT+yZ9jhc{n)6#S_NFJ{>
zdaqBItj68K+&z358n_z}=o3>a1&1o95H0Q1xLhTxRBW$~Zffkfqqi8AR3=+hIacH6
zq@hv3M^!{TGV!ux2w^GueT{Xs4R$5+RQ5Wkpy_?6<M<mc6yEf&lk&HLfkHu_R*4c0
z{nzxErnW?Unrc?l6t_XB%8k|csfs9lVo&o|`9*X@9nOz>WQ~a<QXV&#>mkQ&mzKu+
z9%9hsV&fxAYwR2v$)L)~;Xr-*IZtW@0a50qkXk@XZR2dNu{7$({y8#VH8SH)*Po+p
z22`S72K)(<#CDJOz9+fAGZhN>;(Ol{P@%+BEcA<G%qH}-n!o^awb{8xErV8Y|E*ig
zJSU2AGLfxlXqee}Bzv)r&kB+J;bUp;6zFG9cZ;qVV`?-RR6jMa#JkhCL@n+MV#~t=
z3ij{Em=Zr%mh$ekfYWVLpHOZ-NX1<W=r}XRoc>VBJAcC*YiV;fJF2)5V$S~{(07z+
zXw0$wOtTrv%ehshTRCu}C$=@eW|--^y+F=e$_!WLA{%tT1`hcHn|D<WGA|?t9`f65
z3O3@kk=ei!;pX}I3`=A`b06$BY$`MXug+1O;I@ARzj$lusKO7X%IP14^_(W?Im5Z)
zmGdm|#P@)AY0-D)3Y$u=%R7x>8MQuw&G0v2aB<g%^yE&a?8SixE-#GGv-VnZ-nl6v
zYyU~g@4i-MhjstH&r~Cfx+E|<=@SI)O>6#@y<eCwcSSk&L>uDbuxIPHy`zM>^u$P#
z^hc(SY<0<+83XuE-h3hScaT_j;{1t!a_^bZ)iX|C_8DNpQTn#4NI&7wYY^!a@rrr;
zT)5+|_GNzMNOxJ>>LqqHYj1j4Ucz)K?4GW6*T;zL-?buFz7t2!^4Wa2lga$HJ&yHz
z0|Wj|`;AqfbrA)#`SD^WVu(Rn6;FaI19`Y7J2di*IC`ukL+eyN;Zk@`l=+DcUiF{d
z(GS~*zl++wqe<n2SXF}Y+AVY>Q<6tA`&x)L>D*cE%2z~9-adQjUK*rAN~R@ZzY>kq
zD{co_YX~U{VpsXm5Xj2Y+H<X$;E+?icSy62h|1ocPG_OP+2_Mt&-fQ2N1XBdg3?Fg
z>}s7I$*OvotXVhy_~sX4hPu5zz34N+kk*>X{!bUKMmFMpv0sRVf;}#N&do&2Sp5dy
zb2_MMI*cOb7h;=tZ71to3o)^3chbuWZ6sJzUc1qni9@1~*ZRC@CssKQL`KbOVej?m
zx32BY#IX=H=kDxIqA%-ER+5<(u9^Rxs(SI2Q0y109&Ya@7K+^TK80%{>;8;>O=}BL
zcC6@W*qI)}R?S3Pwq64&TGQ8eYPS)?fz%2s;s>$uYFqeLc@2oom2vq$YbVMV)^Uw1
z_7hJ^qU8Mo)Y0NQcdsU-gE-@ACv#tSkTBX9pl#o%hK~Nmq2Fh^2)oivKbrRs6OSEx
z?B43BA@(kFzNovKkXGC9d2`b!ardHDU3Y>i#&#6g(3E?KqJR9(k-_7{Mj=DT$axiT
zJo`Nm8rw^3U5L+3r%e(Yi~2h=eN>P-rFkk%rjKY}_1J}@W{Sw({-DpeT^TPLitn?v
z^b;%7yVH^`OcOo)<LQK(GR7O9+{}J8NF*J4a-j9Z4ADYJQl8f;A#UMUE9>`R;`CmQ
z=Gv>XME}gFQu$gX3|~6+RmEhCcyO})<#7LBV(qP4{SNhtc-!GG^P+B?*n4f?O50Nl
z#1{W?y{L_f$bUE)NAZ{>+$_$7y;5VrSmszlaxWD@MHSl(2Brv>W43eWN?9RSVDkP+
z02NMQrym&KohIJC@xJxvI6H>@##0ppsQ5USzUFlN3{ezQy>w+8Cvwg@1e!lkfY|TQ
zf|k5lf-~uQpvg&Y+**jNI_azckww|EJdS@vf6ch0OYI5-6_)uo{*=d=9{<dN8w<o{
z+%7Nl<X_fD>Y0mf@=$uUU!B{G1-mZqBx($Va4+;f@2)C2)RGG~)#_LwX|c45sYSuy
z;QlK-PI9>XW^2ys7<SOVCaPuii@@~VoeO3Cvaqt5d7K@<36Ik)9Xt(UpfrDeVVf!o
z(GJ54GYQ=2{A@BHKeQ4Dy>6^4J0y!^eglP;!z<up8kYxCDe$n#i|}~KLb%sNyfc&^
zxj#CSzPy&k$jb})x~FBK^<ZPlWe*`NTC%<}xh#j1uXbA>sFuZg?rrsoW)#F7K7^Ma
z6kxq^(R<GtIVhU3wk1xA;Dlh<Cu*P~Cdjp4PV>owXWfsmg3n^etKec0wN*x<;A6+X
zf(k(Cl<?8sm3Ye+z%VjaMST-JGx?1I1~#OqUQ}A<U(4%w6<2lq4*&rF{|uLRIMsg~
z#qGWK-kZyHuf6X33JFD7QC3PNR8mnwq0mr?$jGJ=g-S}_w}z3D_79<~q-+^kKmVTR
z^T+3T-p@I&b9B!F!%(dv9E0z@<{8o;^jt@QGerv&+rQcP4=BNH$;3czOF1~w_#jhg
zPzV05ak1v?Q~|Efgp2M41rQslnCkP;gSKC9zX<54L1p<D?|5M)SnX4)-~ERSx1AD-
zYkf4}^JfFfK(#V>%d6cI)}=s0@!@926)pH6d8>5GURC&(Z#1xNFBJ|+J=63P)dk<C
zYm7oV>M&eCeKF{Q0mxU+unm48!>6P7&L8}z0k7+&@)j={0=e49{pTPB#>1G3wzq0Q
zjrNE}sIL)x37?N#pcsP8R-?I%7j=Mo@*r#Bh!GSFeH3r1HwImuE5BV$bRj-$m&SH!
zW9V1Z#{GxPz~RO}%9VOONUcldP#-n|p@k2DpXrt${x_RF<TM$4t#uELSQvrUX-}a<
zZU6>`kJ}d3$dJ0j!P`{I5FADD!M*)-FpTv5%DGh^vSSIpgws^GrKQrfcE=h@ukk#y
z57P(RsjSeyvHEZ@xyd&B#RlL#$tZQ#RUekVeG6~#)P*-jpT!l5Z6KyyXpM(KAEKt!
zQ{`+m;j?Zrjc#iT+k-Xd-HwvsO7C}jHBJ>Ue7WIBQ;{v)4_3JF_>dl4W>4H0)hr9i
z7s}J_G};0?hmOGWd=i9r#>$#Vh=AcreQRKeEj;_uGIH{QHV9c>gM(FU5J{C-j@@nx
zS=E~!DsR*TA<eB<9={!<+27+oBr$9QKLWy!b`GdP`w;WP2LVF_2U~8EyO#}2Wd~AR
zB2+-tU*Syfu{9#%zib`%ryHQ^vG(H;b|vr$Cxz|(&W>#)?*sAT8-URx$MukhJml7u
zI!to%VWIt_)t!f}A&dLbr;qQX;CjG{zqqv^hR%ANh-;@qc9K(LOR^Z;jQV~rx?Kq8
z-380W_302M8=RthQ3z%R{^@kK3*&d+#ueXOfc)$g)~E(v5R5&~x)>;ec}Ilo(ggvw
zcbDJGUt@!bb4>>Pw?)vMVEW=MON0Aeyqtl(4B*myo>WpNf?aEuYVK=T!E19x_*Xhd
z8+San?{}dHnn%T#NZMFJ!IRzU%bvez<AU~dvq%v<zv0tWyD$rIBb}8ht$9o9*Ko5h
zvJpYo-+gy~l$e9mk9{^gHtz|Z>RyRBK@seY$|j0`nSrgT6PqvVPvT?xZ=4+x##-K!
zXZM?!!M?Vqk^OU1M3r^Ig@9&Z9Q1UZBVRFv&Tl1`cE6e@7~Ca-UOW~?volFF)fp3L
z<S<uaV_hM<;<KBXQ5aP<UF$M^Ou)cx*VD=&2J9;<VmA9GjJYXpa?BmZAWZY|a~5Mp
zyJ*#)ef%P5tD&yBy2%(KVM6?sEGwp1wB#@C5W%zZ(_GeVMo`f|!SjHH9m&f-il9*h
zovkmM7rGh&q3OcO_mKlf41?EQDT?81!UWfVAw-BC`XX?d3%B&e7;$up;)!?lOQ)g?
zfn=og&D)v>4|(I9#04>wvNu;07B_@d@7m6(30~~<j;c@e5=T2lTZz9<450nCNwaev
zKbFXtriIcaFwZJ<G+>_reD>t!GrlE&G7T3chBipzn&zELw`B}KvPWTTZ;~MPPa5^j
z_)B4A(sgEPCl!KH`$k`e31J9@@A{=oX=D|Ck{g~!1!WP502N<hWN8xWx;QF>W&hm^
znGK<WFf(bh)^-t$8KM*yc*x<~6tQ$qTPg&n&&JsMisGM>fBop+<Wcx;?=fc$D#T>D
z2sa!S!{7s|rcMnC7+&jjut<yw;%8QQQ`5vz;;Tolai$`Y?&~d+1gWrzoG_a7QUZe)
zz=<P92~o6Tp-X}aWe<^ApH&JgT-0SULX}ao+OnuvmkKGn)1MLU(wJ4WQ)b5=72NFn
zi6hmO3X)GBM+!fb!I?`vS9b-fV#q3SxFCrNi!v=c3RUIMDeCCB@g6lyGY<CYX{W-R
za)Ezvkvxi=c=YMZUUeM)u)U0;ZUBF)0$3+A6tLJLu0MCL2Htw;7<cHZ0eBWX_6!S9
z#1z{}Jv)C*v?|vUqzW1Wy&?E%lb#Yb(SjBFowQJ6kJ!N5B12%Rec(%BP{x0RdeE@C
zHrg{ST%tM{f%xIIuje|HQ7(FQBmCCJhKLpHW;TYNCdDArJQYkh;JJ44vJRHAw%Ocz
zXAIe!*4}#tsbagWIDJKcgiF<Y=RVvq0oMjC?`%~yY_f{J;t)i_d>_@4cj>0^xFi4d
zk^j{2PhnTb{uC14ygqqjYl<1j2(~9GoK(kN$FyskB1yRQWRjj;qB&gS)6DJQ)Ijbd
zF}L+}Na(Krpzil+3;1rh$KZ9G#=0+x6qJf}@Z(p3q`4E8F!pkF=k;$I$XWbZ*y_7B
z3I$buXb!dl!MT44hEkfi_0M0`iGD4djGy$VaiqaQN8sHJ#+vxtb!p%7Jxwe$OVCp1
z0nmvvl+vbXqM}XcSm0I-v>IO#|Go!c11y?bacN?}s!uG-TQyA0HT}bSAAs3v#Qrs*
zffX6?o-(?sSR7?mtMUh+&{e=u(rx`tKUk%2$0}oec4^jbF*+<+$tvz{RmUSO!?TTV
z6meu*$M#ElbhsMM{_=s6I?9ZCefuS^fQpd?Pnb;T@E}5@@p+&c-ez>>lVO#`g`?U3
zO38G<F6sHY%c>a8GJA}=D2W{VM@?F#=rAAPslZdIf>v$H0}&eHNaB4l%dh}o{vSu;
z22@6kU!h;KvPCeVj)B7e8X$6L@YI_&B|LPd<VKID5XQ{>I@Nd;;EF@nu1}v7(HyQW
zc=`#T(5K5|ovr{mpT>4*_bH$S=~vkNE?#t*=T}?d1JH8(Hs-(XH-XUKX^z*qaJa%;
zeDir4RK6MExyUJp!v{A^db@Jq=F%ffHq%y6UgNi~z(EE#ax|@cyugNk8OINbxLd)>
zv~F#1krevNGcj&9Va3LC_RZHGSVES~IJHeo5*rrVJ~BG6;B&LMJvO425UNg(=qMFO
zG$vI9J!Hm(m+7(|M=c=dNyhXWH!*BZoa($9&Wtg9F2s{B<}k0EoN`1_6kFsH?<GYr
zqlTGavc8!)+)Nc(n&uI~Y1{5b{~BhbnW?qg=bM3LM5Kd&xG={5D7fyc&VpjPcS8<y
zn!#}<ULzV!2-8*D(q>y(u$!v$oAH<_DDTtKt4k0>o{jfEKS^iBXMBw`t6>wE{&cha
z{ICF`@^{(YXW7tq`oT^gZxe8fzENHsD1d1_AK&I>vLjOmN5#bt#_&%mA=q?|A2U@3
zyxCuKV4-V4`NEcU{n+5;W1jrTApfSHOOgv2IWN3;_09;|6qDG+e(~Xr>jY~@0yk!J
z4G}W#Mi8TOw%PC&A4=MPsF&yEMZ=1Y+v<IW@XuH`P&tDSkNAZ|J6H2z7XxpqNSGl^
z%53ZntmMN{Nr@vFW&*fl=j@6YlOZg6T>M!#$%lTkPHsoF1@ZR%3upFc8$g-Y!w%)0
z{K(a8VRueP2-RiM`JBxRz?PTk%J2j~TCxlA-?I|NE{ad6NFNn+)P5#5x(ndkU`E65
zT_X5=&;FN!DOAXQk?p^;SpeU7{rBGXhA7&-uvV)urvh(x_$hP}#PBVGZ{7`w;Zr^i
z6VF)+T;L3U%rY#93b)7WGwdXA-bG?Kqm}~qEaxjd(uDAMx3A~*21)!ls36aHiUP-G
z1wH57gpn5GM!DxGjaG`+&(gN6>x>~~WNi@?lCnR1Wl9DGrJC6VH7VfyAdJ~dOcX2o
z8m``|lEYQory7oY6u2CFc1xp}7+QP1+`+y<0Sk)OCc0MjLH)B`&^;Y-)H%z$s&A%<
zvS&>cUoGi_;<<q)kL?nO-J9%sER?X|xN5vA8wGT1N@W_eBvEvCyOyzoGX5?|daEN(
z0b0t+`Ibp3WRbJ7Tk}^z1G^h7GWHahianCT;3Knsui-t1V^uL>?U1nb845_uk3eCM
zEEcly$m$iTp>iwV{AfD`Qva^z9X%|MYaiZR(Ol1)h2*;>-g;DE^gd*_^Sr`(53}ET
zaZCe+4-L4~6;r`w{&M`8J&IT+WKvPht+mdd7p04O2Jk_=y*Arc2~UOj^oYu7Ba@iU
zm6rDg;7@e<-O*G=_ba1g-f}vqE75v!cZwn0D`;r}eigi?B-tFmO2XUoVdZgNMj+i0
ztaNxr1zYxajfAz4F!&GykAjskEPUDQ_Vt4*wp2-94B4lP%kz)*BaBP{YM;=uZ>eF%
z-^nd@pLEf+9Nr_%6f#$%UCta)M~Pz-7kt_EkU@Z+?ciYs3=<lUxO6m-&&8xhVo4W+
z!iq^AN6n$~%(wrpv}+(d-A07n)<r+2D07SJ7O?#0?50EyO}w4GD<ob>7g;}mW5#;U
z@X84(<`A0bAbGc1j!MF2l2vX(s}+R0{OuND)52vo<^=|R9en9@WQp?)4P+k0rA(`7
z;b)WI8B2GxuxF{4(R>F0PlmoeRY42)UeCV!LP!&hY#c)NHv$Zg>l-ajYU0ixA#YD@
zQAft}RVga#To`Kn_@FRL6Ss}L-pLc9ifILznGZeba6U~UsZClF1!ImpHHcEiZC%Z}
zMu~J7j~{R|J)wa+N5B7j5U+?%p_`_Y^XPCR^J{xeojTT(JACXS%j1c$xCO6bI*jx$
zCBE%e!-tWDJR1_F@$PdU{^{#<813A!xoAWc&#rzoV;7e|kIipaB~Q{}F?Z;G=Aa5z
z?|H7%Gb4hx?%H1e<xB^2^T1^B&&rr$?)I2a5yHq;>6KgwI;5Xi^YbK>kazs)x488@
zc)~omJK`&Vd-<s`y>dmI6uZ@Fs>F>jw$gFo5&--6X{LoV1+0t@kDpCv$3oxeXP;>R
zH@)>ce(=bn#tdhTXC({%8{AaK&_#nbmS4;#*7+x&VHG#v%Y?0bU0e&gG}t)k_a7l9
zjUsl|x%4asJj!j9GahFJ_7vvl=WQghxbm#-qnuUZVe9!vt?w;CpIz#D{uOcL6}NT?
z>Rl$<%HwBPlr6#SXM|?knkaq`^uM&$wM0Cs?%w!(og=UMT*X)~iy&4%Owx~BB6@pG
z%)4HjLw@<Bb*8m2HgNWd2InmiQ+K!)MwQIriD9NTU0euzmJ?nGn=TV#c{zD|V$9&&
zO}VBmyn-0i@%}`i(F!s2H#Ie@#}sB2SBwc|0sM2MbM92qDj{}!xUvCEA&+^Ct$IC|
zOYQO&f(02+j(fayzRUzP^1Ag-d-39<)qgn#s|=_TXzIU9*aRHX#9Ks6d9YD>pS?0W
z6OIQYiwnjZLsVqM*0e3$xL`EK*QCjeZFj8{Mdpp5mqDz-WS!H4r(E}6+s%Tn@11#n
z;-C?*Js;rPFTjP7Zhie74_WbZQ~FK!KZam2m6H1G5ht?c4|s$ru%nhhV8f$OLpV**
zF&8<{iMz;Ai}M8>xNW)SK;4W1xb+wDTukD`&aD}0(H30jrEo_hBE|q}7`D`8R&wIS
z=A{==Q{0%j<M}&YJ_ESswW>3>#EE)0y8GTe=f$T(J`GicRLE~{Ew4Sug(>7R>8fge
z%+dJEe9?jm2Zz2hQaQQN-f*{W(+>fZ)hTG`@1{Vk#c>|F7H*7v{8EH#Sr7}l9nLJq
zQNX$)uQRlQ2kjeTnNl@{k*(|?hq?|0?kBA=?s~|JYfVG(?+%Dy+*|$GcRl*RTWmTV
zJ<Nwkqke>LekqDBL!UnH&(MeHK?#0BP5?!AR0$;;h@=10823{i`q2Ge<0z?D03(F2
z7R@!R`)J$k#Bw=(*qCC^C|$k&kH9IFsQ@WdE3b4em>`3Hz%f6qY#}sg@!fP=Q3mBd
zL=73gCPPs2953e$VQh7+j1*gy#cf&f5?)ng$f@)5-diPt98x`&pXTK;H_>^oKt37T
zb?7PM-J)n6(64olT@j7j$77Ro$<S#p)M20?j(?ebKiyGO!XKU+dj)QhVR>IwX=Sto
zvYz7KhMSbJ=B|T)@Jli{8`P6>rzA0P+ufe(7!_oWvFDVUBm*n0Mtd<v8mq#0-tT^<
zicQ5oTAOwC;hJe{gty8%cYZx`?`2m<zp=xyZ%^xk$ASAL-QVS~q_`+F*+T<GG6Ix(
zN7wc0f5xZ06!1dC&E<!snkafA<8t-^3WWLkUNdu2#2-7;waGJDxcR4@(J59cymqub
zD!fq%_c(jL$~4r$FY&9nRgc$qnd3NhdZRK1^EHm{UEdcyuPfgENiu-CC<(f*lM3c0
zJh?d=t&4{`e_L)jVhFvVBLQ(P>%IJY@v+>4dN^deoG2A(1eIT=f>&JB(9ij?I;RvF
z1BY4TucjM={1Nn(+N6&DH(Sg5{m3ZYI9mLo#RN{Q5I>$$HLz8H4Au!`T>S6m#~@xa
zxI0#q?9Hu-Yp(IPv(J#RRI&2>Cm(aLEy{`4c&&*QseY?oo@5l~BRv(Xv4C-A{jEEK
zwXnML>1{^_GP2khtjV!jfv8>}Ys9b?RxtELG5^!WON0CKmDhJl=i>6KbW?47I5H}$
znn%JP48r~VRsi&|-+kSF+W7KK!--w9+L-L}bo@axz%%lsWSNIHGRktBD{yFGxbKy#
zl~#1<O5&*fPevPgeLKHPjHqLwO+xtZn{=q3&u5sa)<UH_^EMtOs`zvQe0Tn$!}rS)
zWm3{wxL|u@%lKAhbP=*x<&m<6kbttU^V>D?Zh9<p)tUls#iVdmiZwiZG^%{^um*m3
z93cJflq`OIwR^|AbzQT7>UA+#9e=mS?E7gZiGef18(8J6VRi>;q{cxFj|Z0B0w+;C
z)FEi(K1T<-V91*q301t}W$W+_1rf47a^ydw!_ybf?wNNhW5Kthc16~_7{A@(LQfPO
zcAwnTke#W7N}}h=7r(RPZpDo7-&%B_v`W-n@=(P1Cq6fqwlgEY+uvvVKLMmgipGda
zDWDf$tmq!v8u6h&Y^^vF;Od8%nC5m_G}B{T@^n}v@;KksT#y7<tI1${6fccE#~(?|
zR?HF~D}p0~4%6UZi{llI?UE>AzsOW?HAR@~-FRMJX$5XlHa(x5#qsB==rM!JF=AT_
zYa;Q-5*i=LKT{7CMH4&bh5Wox!c9(PhLdCoVaFujh20m%F#VZXbM{|E<u%Lt*h3cZ
zlhGoHQ&tFbb|DjE`3O-gP+i~r$Q<_Mcz?cLC4fb2yR^AB{UW?1e{?!Bn}cx0?@JCH
zd^od-`md;dl&Ce`a(a`i8Q}Gnb2n3X5Ivbi);|3q+De)~^_H2!&C`=UA5yr`?A%_j
z;^Py<=lKoeB8;Yx!O6O!{+0uc<2Tm@+DsAmiuR=b^fiH`;L6VrHnXGeQI7%Jf78S*
znW{#IMq?NrO}0(qV8cBJxqhj9nI&{@fB8>W!x&bj6xVQ(1uInRo5w%Q5%T`lmhovu
zkW*qCTPe$eU8(c$PLC}R;^C%lCd@|gAX+4+=MXbC{kS$6sIo-(C_jD;#|^<|<9ltj
zNhS<lvfLPde4U$npG97sFn}jfq7^lnOlUuBGqCn^jUcL4Sk*%eV17=&j%yzis&IBF
zu9-999sQE9<v&z7kx<0Mvy%zi4v3FIIukC1y^0YHr$UxzUGU#<CR9{Bx3i3q1r;Ci
zyPsI1fQ{1p-GDnxc<Ve{!@hV{JZN%Y(IlAyJkhH%8(El<TeXbBCd-cgBr(AtX$sJ@
zvr7I(Gvig8&%rkDIdFz>u9K}^&&iJLgCe3V*sE3eOSOm#OEt5S5;p6@QP~s5H{Y<}
z4d#yh!|6PD^Q-BHmN7DHouI}I6tUvzm3m^Xf)7vY7xSy6k)i*5c*&`3Hq>Oevvv8X
z0G@IQ&iZCahU4@tP42bqC>s8^bLSmF)Sc?KPW`3_n?g4n%9-H6#p<c!84E(_8c(0k
z*rW$+4g-BnTevWJQMc!wp9o$q3_0@hg)ZE3TFFfL$c=XHZdFhEMRD%uF*8#qT_E@7
zGyWILi#D1PKVQX*W3rDaIt-HF?!$*yKDzUx@`Y*c59>W^ewTGl@<kGu`8`e?z9WDq
zMqBqasY~OHy>G2sH<6&1mc}miQV_Lvr0Z?hl|>7l0X_|B65N?h&3-v6gla3dc1(K7
z<IM|Jw&E-#;JkIoPn9NumO}M$FFz}w<CY_5cd?VeD8#-cv{)3Sn(98Hpb|PsbqyM7
zkbqiRSAAbq9LXg?rM3RbsQicblwvRmj$MD~@bQHN-f8QI?rl`TZ@iu?lJ7}yHu)8I
zaI6$MPVbd|OI1Ue3p@}SpbKg({JO>4W$;F6To0vI9lf&LTc677!L$L(lA^O520T+1
ztfgrp>!UBnLpaDlI*=MNL{`8@rWyOI-)rHX(^e^ObI4$r_tj|2Mnz<5l{1put%I*w
z-CSLr_2EZz<2keaO6YtoQ;|GD!rak7X)YxS9DV7t8hT9`H`zAVNAK4|r!K~l(_&O$
zu)I+@^hyO=g?!%i29hx+_CZWC$pAKbsWUb%s$#@1e$}(9WSkHyZ|M&*gkXzDp%iU(
z9AR^<&pM@#UoV*W{y`(q596MQcGJKb%@guPo%)#4oAh_9i3uo9c%5fHsEGu#`BfS>
z1$EzVD1Y5-3Z-F&42O=a?-}>+9rxGu+(o&BxxMDly>Co+)=L{RIi`+X{H%{2_n&+^
zz;6jn)~P&YQab1?7ZM!2M<3G)OC6bNtiZXmzG(68y54E@<!n6}PlVhJ*H;E`P!GLj
z&P&3sz9!O<N<F-jbL7Q=UV!GP5<8{!-4*-A>7f1@67~~<{>tlnXGV}U2xLg8qRSh7
zhEW?g-ivUP6|x34-W*@QW*w{`k6T7tYoN@N0<Jx$ts%{P<nOKZ-XMJT&N$6i73T?^
zGkG1>(Ds;Hu`pO0=eBpB?g&%DM?G85XslU7xwV}`{{b!hlXHXrouoYK+!c7h#kT=M
zjZVwefF_<dok%mukwksN<;4f<?_VTSm=dSdG5OhsManr5r0;&WqvWeKcvJ{1`<_$7
zWy+2Du_1osAB*`mm1PZox{~KzxmEE(i@Kb7H#?3@ln0JFSc9?ay(I3l%IMv>wSc<7
zfGeXG_n(f_!OL!sLC~5a2K|z@-g<D3aBxnh870%<^@=_>#3-P3WbMZQl~KZ0VSam_
zEFCr%aBa#Lki%>9b&gQ<g>YxM8e3WkP*IU}fNmp=4EEiQ1_>Utfch;=A?y7ij3wFH
zAWs6ve4?k`e(Io&Y(NgKTpG9?^|m)s7DJ8@qo-2|-)I>DewWnI3Ou*8H0Xa3M%Mex
zaYoGjv>Pf9T<U&W0$ZB&mxQ|YU8B&UDJL{Yqi5U|zAs`4(ybKjv}^pBwMX_c(K1N0
z(6(C2+-Ly<+rBayi1J|d$-9OSF-X(26ZlacXAX(j@;!S!uV!=G1*+T!Xp;OBo`ZxL
zH15CWx=Wr7{ojv%|F7@|?L|rWYaLcI*t;xzYu8O?q$Y`!yyEMl&HO$Z@9bg<w)Jvz
z?7@s!9GBG0;?zaE6~6B>e}M^zg)YAknOP-5p0<aCQ9sj+`T6$g%o{_2V|SL-<t5^P
z_baBa-S24fyGK=nwi$!D*gpk}`~{-yMM?A^<rQu5b}f5cwGnI_;@35jm?N%f75mp~
zKcH=^wSPz#H-d9d&iDNtn<3&fSi7`4ooT%44bP9q8A9~Y%?&H!(?mmldg}<SmiU@<
zuy|(70J7T(j%Hq*B&_?&Z+udINmR=p2s`g*028T&%*4fUqRM|;{)Mr(#LH6<Ao-aJ
zjV$B#$D{rbUu{Z4e4c+K7-h~JKDmVok8^LlY<xdTd~o|u^u>w)h?$d}@2|E|Acg5x
z)}`~mhzOQF&ac&bh=ej)@&+dg$b5}IupxJZXudSu;r#16ksV$r8PTB+5*34PrK>-Q
z^rQo6&#VWCo2Rat@NU<Kcb7xko6CO^x~$b(>q~|RUIvaEi~VF^YgJ7Dlm3(V;8ZQF
zCNV<T{z`bGdYBAO4sw2xjX#M9{u)uk{87U7RHkYi6B%sY+st>Wj}R}m&pGY286$XZ
zK0Y}`(u4fIU8Ja{5rVq=Q`sxlNrFGQXr9SO7ij;e!=>532=e5L@2;3BA~K@gTjnYW
z4##mur<RTqiI>96+W2RPLKevY&9^#WWtV<I@8@sg?)0Ul`G#3SWz^qOicbdwIpyh&
zzGDQ}OV&4X7v~6@xHDCQZrUIcW-h#scY=6zP%E+F^a4@5*z+X5Kns*47UFlGoFtqM
zKVvS=|3@VMIhMINqX{t^FW-K6X^MEYwq@_y_%e}p?#w0^CrzNmDBVkXK1~z{E64?f
zuMtvT4J5N~Yk(Rxl0i~(mf$t-*&Hsxh?2nru)wDQr}x^=aisqxE(U4XC$9IG+E?U1
zSEJP7#96U)f75xQ#`=cAvIPtB{GBZ;8C8S-0RRC1{|uLRJk@U$$Fuj|d+&AKYi4{8
zmt;gDvy@0wMzSg+BmGDcDP>E9gp?KC$1YT|D%r`%EGzrx-}A?LJ+J4S^ZC3#V>Y#_
zDRi5pT5~&(DmrTP_B+*yuyfMTY3s2NL$^(u+5P)vhMX2@R*vU|j!Qva!l~gTy<O7z
z$IlrhmFSV>xi}wDPbqNvb-m<X@jhv<B-Y9CE+g`23wlSnAqi$rE~qWZlOf@Vbj=Z2
z7Id1)dG2?jB%IfBPJ5L{jtm{!-&c{dq0YFTafFiu3hvxHpD;?4KGN|y`2jnsJ2#4o
zh9!WvwBD|RiW*5gYzTm3oao#DiJbP41Wdn?;JEgW2Kmd`n@i%jQ3OVPCeB3y=98*t
z{|V5eKuw$GcfgChE;!v)(~y8bo{hY+07j(bTYlq76hC4sh};hmm4HFbWiKKP3;NHM
z`xt&x5Ph1|iid-GsdBQk$vi8%r1dDUt55_@EC?ZTZ3(E<nzw2VVn-<~;lodliXk+&
z@AKV90ytbv{ydT5M2F|a&d&W1N4ZU>@TqMQ;K93CK-lI&0}I+uPb5mBMEfbbZevM!
zIiqRRxygfoS?PSm8EK@*6K1yiR}vHht&B}1_|d)DCho76vgqEl%Z<zZQt&r{s7QHD
z5DD*E<f=Hzqc=psFT^!z=vOd%`e0iaMYxoW+g(>gTi`W(##t6RyslVj^@}3bes`YC
z5@p0!eyW0#O&&5DkAC}LAdb#G*)wmvf<s4TKR7mtD8e<z>h@cW5=ir_)cy2$Rb=hf
zu7FEYhPF_BUp;Fn^iu79A#WNUT`UhlUtZ&Y?Alvfi+O2OclWRC-aP{HZLB?H=YR*X
zi1O>F6J*g9KciVy4>eRAfsgOUtHF_yzdax)k7}=%|Kws)M|htTQI8BX;16Bs=aCu(
zRMzzU6BeY7Ts^a`<ioY#=Ib(kClw|1<vxY#;}msNUaK`j8a@o}Zt=}N5z0vASNqDi
zgF4cwW0d-RTn}1`1m}3uRS-2c(dgfxhMIp`UtDa)U}$uR-{3F~eVF<pxZOZN;zF4d
z^DG8HA<^5O9Dzekp`7MJr}1bjNjytQ+7KS-c)yHJ!=Y~1y|(&79I|s0YvSi4f--#u
zel`+^mQ$<4xSf>H0_*gVKO;o=!g6`O=b-=Svk&g?Y2^^{xZTxdKO@kSF1U3uP6a97
z^_*8dn7hJ)ry^&U5j<C``ka1585xIXjFbq9qSstst{whk1PMJd!*^>G(aJtX{;!b-
zX^)M*eKlzWeP1kmY!~DaeeEXahfNk##U#GuRB8lF9i}W{tFp+})!||bfgIUf+#<x<
z7{M~HiAVRaG`ehs@iyL_CDo6)md=h6;jrLb7_mkY^_jTkYWe-Zm}37rG&m8#wA<}9
z?!Gt*tzq+iUAm5?dW>kxbQ(gwXnWkqRZ*13sulb^iVWmNJrn<E7((p#^R`cV1QFvv
zM1`&#H9UG^=Nq190Q8^rJA;>b(Q?YAPPW^0aMtPw@fWKB2o;*YC^q9lRHFvIGhZ2i
zpL=9UItGBm!r(AD#fAd?Yff9(Fo9LYvEbe<46a|xAAfj{38{yB*q6#PgZ%Kv*7IBX
z;OP2oP2mR(YQ4G<nf)I#Y~0iuz|rUf)lsTq)lzcwyp>;YEQuK^Ke6cai0Z))6@hQO
z``e_o_p$K#EHhY=4S1v;(S`bQT<^IDE2O?hu})H~%s^2))|3^j1I62@+m2<1v@BX7
z{H}rt)=D><X)6yy%dXjU2S-1tR3N3y)s_jU6H3k3H?-lO%MllIh9b=Ewkk&i1ryvk
z$7qsitPM}(J}go7e#7S6zLWK|GlCb9VZ}UM3qn6Q$KI8l!c+?`9{XF!2)CRL=Ux1#
z2|8)EAGB8&vBS;RZ+?8v2>R!A&)qns31`i{1^q)-FqiR(Ta2F=!8h(f2yeRv)ac73
z+lX#pw0EeUUf^efJcnGDznU8G!=!CKH*yQBtEv;7yT=4ghBt~nzEp=ujts<JvWw-j
zaSSTsn8C5iR5VgS9fEEe6$za@1Y9R<i=%d!!TNiH^lGUZ+-jYj?`|c7pzW`h+16P=
zHT^=OkcJxM6lI2aDN(>@jjf&CL{<o3Ywjm+AwU&f$AIpAN-)#Te_C~z4c6Xn^i|sv
zfP#0QUU!`et~Q$=?b~Am=g)b4E`RV4`qGl`kSh(`(>CFy8)ApeVRt&Y`*_ef8(rSt
zPYbX4DmwUjIlx23-p5`O50gDTo9zzt(EBsPV0e-fx*{$9=}fAEpwn5_;spk{bmR0V
zZFX+pYrq6_(p14?aqqKm8WYSlvHue}#RL8VY)?MgsKUk2*ZEn_ED*%%9UIlm3m$LO
z9!Bw~0+TacL_;Pku-#M+G&ki3ilDdMWRp1fC&Luso5==Y07^i$zY&rS#})-ZSpEqO
za~%#!R>lK8Ub4gKx||GLr4SSla*p4Af&<U{*b+kz2c-8z?>nc7z+i6p5${+Wq(y#+
zd_l(rzg9NT+$T|Z5;52@7LJ4CO{aeO+Hr$>*6jxm#>Jp?fR<kB77i54L<B8sd0=CQ
zJ|vYw0*-FDS!W;g4|f|fBO~y^;F<Uj^8`tVUU!l0M>t@tH~6{I%nzH3Nz%+$q#*F@
zz{Z7590ayqACSK+2)%4SRGMp~fm`g(d8Q+(!1FuprGkPml==zE($mU9{*fZj=;x|%
z{PMAik$n-^ah{i6b&>-`-AvjDaXfVW=h~^UDheJGI*)F>kcS3?;CBz+;Nf)m&?d_t
zF`zp}y_m7C0Goef^7-5dz!d3~nZ7Cx(_zI!ld4LfyQRdntDpv1pBNu{>`1_Mp?7z_
zom7TA;t!d0R&|J1KWBN0N(#_-Py2BP6>u~vt%zgQ0BhEaj&}^wAfEK6+l&_n@1(D@
zxyfrnP_3l341)}u^6-vj@xp<rVa$GtvlhH&E9pqylY!(@P8sJP<3Kd$WC|fi8?pm!
zYeL6lL7uVM?p!_&yk*#Q7yljxKZ%eQ`Vu)fGAXvcdhqW*^&*BCkLiM>=GYli2YD#A
zdp=~Zg9EL{`E%I?da!z->v8aeJSdcSnykdCfJ=zouby>%$a<Ync-lw-;N+M1bbV!T
z3l`HS@B?sCI(;j+rU2iHjjd*%Dnip*vbAIhfLCiomU@H&#HglTJ>4h|6BGslLh=T%
z+F6=(!A1chOGFzLp2-4%7=5KG#Q?OQS`cAf9+tmn#~GcK29H`Ym&jiRaC4FSd4QKZ
zcu!e<VyBXXZ29oB%EE>~=o9U>EtdlgJHxO11!CZ&KQ;DH&k&mRyfPntmW6t^%BMC(
z!cZlx*Zthc5Ee%)g=s&^fDbv@<tU6F1U6^>(^fYGipt+SgfeNUo7tjxBh3xXPU6Y$
z*$hE$l2>ylR0`}mbCLx7*dbkr-c)zk09YP0#hU0HydzG1)!Kp?YFfr~bDtQ%!~DG`
zMeE}5hwX}w-4j}P?7`Z%W?=wVe6wlf%fz7i*6r#4-c!KP#`T)rbpWQJzG2?WqF}-E
zuGjp@KE}9f_D&%kAj%_|d%;Z@{4Vj{4N~32R%^3mQ*;0<)vrDNN-GFG0<qm0xK(V3
zIdZ+T5(Dj&`Q3~zJ}9Kmf9vS8jGcexMYFc351gS>C1)ymz>~60{CwmbR!-y)DUsKQ
zLQ##2<0LLf&FW}!*qg@OB!(NjJ@sJleSh_<6%OeC8{_XmJB3{sDWtV1(uHfM3tio<
z*g;${WM{(p7ZxL;vcI#S12;%p+%-L{@E_0Muy4aJ%$NRL_o{{te2c%Ck-mALvo*)x
z%Wh3!k5<#(2E`nPA&N%Z$7zf}^nKOpIz5AZ6($Bg9nc0`TmLnt2zvP5XxbrsZVr2<
z9cv$>qz%-)D%;9Mw9q?Ro9AY^i1{j|cXPyP0RhHMw%BRFGA-x0cIPrCNTZfWoYjQi
zApvntHB?}=Y1KrT`WKUYc6t1er6y<yt+|<{QbN)B376jRRqSqX@(0ao4G7*$wO)8e
z0S2Orxr;IDSX9&?dB3Cv44uVZ<xP>p^KnU;)6f24QH>|v+aIdKNp#~0hb=h_{_~a1
z9^JwsCRyGeVp50Et~`6)IWnjUSI-Gh+r<<=sTBv^R)Y%Jy%_%@GMIJ0{`AGOee9G}
zagI2(8aPKcUGYpH15><q?jAoGq@FBjCXXY)#>~nM<zzCrQ!x{NC4d~}J}U9?vl0N$
zk7n_;WN^J}y@fbV0bP0ptXI<U@b#m}D>y_B*1B=Q18!7M_aTCpTLBMz&Xb8@9^??N
za;oU_9yM^3t)CPose;JTo6HMy<nR_>cAxVNE%YRPyH#MX3K5+3O+ASepy+wavNet#
zdg$93`&Mxv!hLS>*Ktbt`i%0r_Dx0*-1OEPc!-0FrK|S5cq#~e`<-n!of#roU4BgK
z;Xv13p+uQL4GF>acRc)9VW^m{Ik!&*^r-lxv`*5%?J<XR(;_yAnRzGuMN0+TwZi@G
zJf?+)hh4*ETkJ5J^^l}eqzsH~%i_&s^q|98;#uy&2@;u;8a2|&uxSYiwf7jn!mF10
z(h?V>)V@=C@Jb0je;d9TZOjDuSmD+Ehdj{uI$lh|QV9&cc@=p{vB1wjdy~jBe1K<<
z+9TUmgaPKa<4b9*P!-*lGi@dSN5hth9B&n&M{oIVeH9zf4jm8Pa1sKJ#+2yWNs6#a
zl~8ecfgSV$6s=_Li-5`fw$Wc<iqM69zi?ci6W%qw4$#{Wg%dh88yvBUuwNjhP*ltX
z^%5+##oFS)<ZE~F)C)xr4GJ@TOyGgcH_^^H_aq=P{8GLD>OsALdYO5U7s{?>aoPTp
zgtwF>TmI*ifNMpKsyK@uMk-69iT=`HK3ei?a7zjNs<U`9A_d`nW7!<#whRmpXbfI!
zQU<TC^4`cOVJM{Bu4ca{2g1qJ47Tr7Ky5C0ivPGMoJpdcNRd;38+Q`#)m_8EkcU{5
z<z+EAq}*pF)uIT!C(3E<399hVs$XC8fjAg_OEfCBQ-&`TA;v<?cwl#5G7D{$fVt=I
zjg-EsK-l{WInNjf@Q-?2dv!+=`Xz*kiy1g*%MEC&Q&a<&wOZ=C8q!cm72}Ymr3#0K
zt_D$GQHMKAndQ3P2Rck<d|0|#70Uj|*3=AW0Nr)#%Kay@&|5J_`Gpk^>71=}1Sc(U
z$qVC|tC53LVprW?Jv^KY7$LN-X+!i-ke@wC9vHlH5}zLM(~}xfOG2&=SmZYO$`&ZV
zqmX8XEB{nMKfISa&PET!&gMj@o>v6^`mM79VXDAwBa`@dUmq?Fq$*V&%%S<(kB7Rg
zIH;xDe!5@*;Qc)N)$}nX*l1S)|3Ve08ggc$qc?yXzh_$RT~Y$Yt#{ltr<EW={=F}6
zg#kR)OHB7RQvzwZSt~vy4|@#N0pD~D!CLAHL&mHk&}F;&=}yT&A**xw<sw6{Ju7gp
z(o7M~9Ln;|{w)cWkDYDHRt>>7W%PX26$O~r&qzNqBL<&sd!#LdiO~9jp1;jq9`d^A
z_g9vMpy9vgdigR$sP-v3Q>q{bD8S=Ow<|B~_>!2TIf$TT_e;;}vkbI;$bH&x!~sr(
zvp3%SG6b{Cpe$xbX(&){5Lj_#0%PS{IS=y;L2#hy4b~$Gl$0@^UgxR6g(Ac;-_j7m
zPAHg^6D8n9wt3r+1AV)cd6Zpt(EtVyH3(V05rgs;@xNb||6p8KA8u~O7(kc7iOdBh
zQ6LSv5lza*u?rO^TU@ve;QcC5@RWxTgi5)6i8FYMZF>>qcJcw%bBr_=lKDY6uCRKo
z@*}C*ZCqyr4{(pK?<K<w4}`d{Gw-I4kk)N|Sy-Ymz}3rI2wda>^~&)U!kbCbcH)`}
zQ@%c2_@Zs{LVyFv!sOEvIA=(TKXv-}I`qJb=<={_mlbkE3e@iQ%#wURx*wri*M$Lb
zr4>(6X1IQHDr@EFZ&Ij18J~%)E=;7wI3zu#hb*rT!BH)<B#(W8(6zHVP<3dhL@kmA
zj92#_Cfu4K`4KPoP~{v3d0BOxo3AP1hhPWIDw-nsQcvrd|I&tAhB20ZG|3^#HE6&s
zcarpS*mLJLP8-aXo>u2m9ReS}zXO>^CrCH{zAp@l)PkUr4|U=yJDB&gkW;a_qa-vL
zY1aMqAU81#(tCgYhk1E?{lJ<&NGc^23m+$FLNL#YZ`jxxW*e~-_xMRaX)WmJvo|Rk
zAm)8a7;nFV;W>P##b0-mXfM6XZ2hMW;@)SBx#a#}YWF<n^=I2j$#??M?3_9zw4Ae^
zN?XKSXkMKRzuQ0>Hu#T^qx-<8I!8>q{N}Kh<TQdL|8vsFV}-C)12qUBm4ABkVFq*9
z8mr=HNyaX|rsr+1CcxsYv3Q}>Da=;8)+es^H8w_b)%t=e0Uq78Pv>Zx#JCOLXQ!|>
zVd~Ajt*>9=K}&Lgq+tCMQ%t&u$47p^;$ND6ysv@>l`Brw7ZfM3(46A|<Y&6E_b-2Q
z{H#<3*T`!DB39#=L&l!v&Rj2c)as<sJsnku$)E_CsTjj1f>WpB{JvtH_ntL}x8cCW
zr^!0Zatza7*$L%ZAH?`h5yR4LaqzG{oVq|{3=3AQ;c|=}!Su}UU(4-Ofjj=pQ(|Ic
zSa{E+lp?NijE0aS%e|@$mnJOmDOO`xPg-_D-o^wrUK5n=C$0?7hAF;Yem;ijJoq+u
zYH<=9$}j3nv{Qon90`sSa^sl2Au-Bye+rW+6c@8T@R8{^WSoON<Jj*@nZr!DSuDI<
zBjL$s1rTG^Y8ua*z|!g4$&+H|FmI+S6~{RhK%Q0PwA7QI*vYgLcuKlOtlpSb_LPe}
zsJE!;c-Bs0$)CcoJ(p$d_gYui^HMpG%8>9nL_UQbJMxTHZ{QDRC2yf9O)dvv&y*GW
z0;e(NZ`a8V`K(|^#7Ah}JIjLJm(^@Xo>|PbbK$3r{2FGCUE7MSlL1r8G1s)&-xyQR
zU{X5E26mS1BGFY?26WUu=qWAFWBtcXKc|atVnzJ--#OowhQ7}5ZYz}~Otwj=`?lvc
z)}0d15xph_zf`N~7y6g6>ENI%%+tGAFprMRf~OQzBys$HuKpL>`&q}YcH$6>)Vvw4
z8<&JO8v5nU+7(PRhX41gUNWe^dRmYFtR(Pf%-=cdv4+LR9?K@(pn$UcR2tJs3HX_J
zH>OR01CuQI=W)f73K)Jkjz02{0A=!@G`CGQvC9cR1q_eVfPq65zt6rnd~A8{7<_9R
z+qdjE$rVcnMz`%<Egy-)r+aoQOS`+6oncz0{u%>hT~&f14RKI1v7Ei=d<d%Z&d9|+
zWrqD>7@HUogL)UyPU|0JaLhtKFSU~u9&`TXJe?#4<e6d1T2T~m(vda&$|ZL2wIFVX
zTZn;&$2+lo8!EWysTn(~#tDpBmo7ANiUA{Tz2~bf4cy$CU~g35hBCvo(@Vca!IJ8%
zyLlWP_%MC89Jk?xMtaB3>R&{m^^5NfwRHyY-O5@rt~ki=xlpg(Aqvu!Zn)YUX3$g#
zH5xZL;Fd#H?Y!Sb5BB5(UZkBB*iGz4YneoWopW)okW36Lf-c{aJI4<HzNzLGJraZ9
z2p2Q=qhb(!BlpfxNls{_BlR&K=>6k{RO{?lVzBtjF<Fz98=B->QlGO*0aN47kK`lb
z(2~BIbyJoXs$UueojW80Q8nK^uQEu0o9U0d<G%dRyzR%l$0`R7vVVB4(MiHE$JuPX
zDM7F@A(a<m3cxTf_VKH!6bO@@XxzRl0-^eHHG#L4K<?A>w~PU4C~A|>*vE^3@vi@N
z-<S%-`3<L>uagC`Z`lKsRpKyde1{=WR26prT6`Yemj{oHHRw4e3AAsOqi<N?p?rtB
zo1#Jq0!PL#wyjISr0(g2rHcf(um1Yg&P5zh{EpbYTOtE_wTyckzG}epb}6)58xOlN
z-BzRSazJ6b5O)8VIy~M!?>%Xx2B>vo+>B2FhPhR5(5|Y(e<>y!Y5!?}ZDeXNzCjV5
zu{oPepU?pF4@sM!cC_Fx>-6}Rp)xRSP||xiX#ipulGJ{n18P}ECgRgoV8t!@q1CQB
z^c&Xais|aZ_pbD>NzOP(Tm3yFO;Cr*gvR(tAAt8GQ@YTMgQdB=d8I7^)IE0SqkU-r
z)@3P0(t9|#_Gp%?+u=Y@W7a=@`(y}w?T^WUMip#qe+I3e#)1D!wRqzeB0L`ehmSvS
zFx{cMvw<msbi*GP+ZZE=mJ^_<xq$;!&D*%#02vVW*cSOmYYgo={{NZxs(@%b`EJkw
z4@!KzeZTCuF{r)h5b`^z3@;kS&b=!Y0CxOhn7fNH7+YRxrAbhP{G4K;(mr<hqFIrZ
zrDY5OLKg0|x8;G@V=_f(rUIQro9jnsjG#sO)wr~iEHK;L?l7KS!bXG6FxdqgfndmD
zNFt{+oPC`(-&r(7x`-lUQkIBNx0oAW-6jFX9T!=&<~K>H(yY4ejzpk|_-LvdE(UTz
zj9sHAD3Rii;xs~oAqaN_zHm+uhVKHe9+ghhA;A!fHg6F_sFxx8O>M~!nYI*)Q~#Jy
z=7O)X{{goQIg)s89^;0qHg+6i=UGvZB)ie@B0&3s$6^0uc9>8lb9sH74P9ukwjrDa
zXjGoMUv0n)N&A=6L<iYW-G1}_@mCmdHvBNWy+Q-gv~nNq1=tab+1fW$sSiOf6;HlD
z;DNxTWbFt!cBIwzv5VNE2mkE`<TJ5tVIrG1y_dMy(O9ZK>`dr_ZGBEmcil3kD|8I9
z7uisO+G@ggW?h(%NGjVo@H_3&T#KxCY$#2dVYcCj4)E@VdXegjG5(*OD~XA0sC}B+
z;bGiixEsb8wUY9cbS*tkjpsZYTJgCY=y{O454n<8L<~)nUW(|t8=0`7l5w1|qoOv1
zUCPbfb^b$Y(e-#Urp1Pe2))5&@mjEj!!ZUD*GYl>W~^^@+0a5b!+g)OCS)qd%XHLi
zkpl3P;S;uOC_!$g%*;g-7`&3dj(^%C$xe7x3`DV^&$`1-bv+v3uJ@Dl+?)*E`FdEh
ztep+X45yln9@7BY!MG2~Y!pc9P<GW}Np^Is>M391=Yu<=Hog=|qD1B$?KgNHv!jNx
z^&92(>R>VI9~ym{8adscvT2j%Krgy)rxB;rAep&yD)tWzdU0$ZspcaGIvi8`%kG96
zY#kGha)_iuAukGs9TPcGz(uZG3_NOZrd8S6f}H_bR?@k1dvT$*mH)UN)Di$Us&U!0
zh!L$F70f*C!j1N16_?fA2=GxTi?ZL08D+QLp~~~&K|@gmjYgaVs2-xG5Zq=#|FP(N
zJo$td^(<faQ~HR9xTF&oc1Kvzo&!zT<TxK<_#&(Cors5)zCT`(ooq;1%*MaSSOAsZ
zz0H(%aK}mKHp<_%u%p&|!+#U4f+%O=R;7a?9=_4h)~R=KpyJz+mAU7HQN$)4&YvC+
zU3ZkW;U_1G*(;(PWD-T}#OHZv<skRG51?UV;6@GHNe_<v6GaWg<wosURRB80kOCtf
z6#cWliep&}O_Nb1%+IO9M*iv3ACh>HrbX|%->NuTJEPvWzoQCnRQTQ9B|cQ-6jZ86
zDT(e*o!2cB!UMHxK~>N>0Yu&Z#Xd_&3N`zaa~!e4gCz^kD*22cDpvdGbx&U!y-IVq
z!IOdq8oPFb?FeCH>eTgE!d(VApV8O8`Wp|9;YycNIYp5ehXSD~UKU~OjMpF95g<OO
zJNw77D0<CUQB3|)4$&7A7}LHHpp17dF}ha_UGJ3+%ziJAru>7-tgfiRX^PI-zB+N_
z9rt9~zfS=@aDH)DOH3UKG-=p#^CeKBBh9_24n;H`{3y<9MjfWUE?m+{ltghcSL=nI
zDxuH}`nknc4TzcZ^bHD-LP071Z#e9f(U;7vy`maTxKS|eS7;-RguOZ&DSs%V*UFpT
zitn@_@VkLfrHl+p%vt>XNlpc&<XK6G_iDr9yP;E(^D-#Hqd1jAM+Mz6$aGLzISigM
zhQ*c{vgp|4rsF4C74+$<kkc}+E}Z)9)OUj*hccx(4lgGvBRTx_TPpf`AozXvr9`P5
zqEa<2Sm;zjwO4bCm`>@#mCLNR<f-J*AI0i*`9?)luhHb>dI^KDB8E^gEqV0&72O@e
zRRwg^hoSyp-JpulFcd|UM{{V(@5QVf3Mpdpcg+R3pfphbQ%WAGBm~IqD9fU+?RmHh
z`v83OHf&s@a_FkXK<o=EX_Qs)=0v=i0W_}reNyq0Lt(qe)E_xYqEF{9n%s;ufb?`b
zmG~dBh;1+^cHK!FWf#c&?0;$ij0-sek0fQ0K|qLlh^r_{&zPW@ImpZAA>%fcRx*g6
z)7^CFuOQ-LYVGfMVF0M|2m6$(H0r3Cxa#i2hXf-<C?y{nzyjFxq@R^SB4LFL_vyIN
zZq(L^JzoQ0o3-k4wU$J-Rz6)f8931RRSvEUT?6o!eB52AErI?A009603|D77)eRK3
z_q_JrdtKMH$30eLH$+kzW{RRg5xtQTl_CixWQ0^gB>$6!9g2pGvZBn4r11Lse0t6~
zzw?avU>Wlae?APMJKp2G29OXu6_O+^kDXSV_6V48VYlDZ8MkVHRP$^1E1Bf*U9d(0
z<1RL|JxMKi5(Mz$lw!=`uQGUjpt<#*3Nr>|Dsi}q02oWZ_F`(5!qm?_%&KV&=%~7O
zX8$=FRAgzFwlzuM+~3+_msC2e|JGN#rP~5>D=rHujfkN%Lw&b`<{F`4up{fdf&~=Z
zE{d~}7R8b7vt6%*{t+<~=4{1b=74Wb*Lp?@<MG?1%|{zoh%0f<7HbV=@cM9qL-CRz
zisrDMP*YkVR)RIVBZbT$&O=JA?uGz9F}GID7Fr=%qEC&rA2fx<$39t+J4smhr@12b
zzZK%fZibx5mnM*$x0lDof*)`4rmGZt{v{Z;o_^3HV*=&INpJ0K_^{<LgB;z3e?)n+
z$W`fBW6(5lj0@@J!P;p05^u&e;^24h-l!2H=!n#O6tSBdy9ziTJK{R=c3Jr;r?U~<
zWJxV*lI6m3&#Qj}zR)38zQ{y>jUlMoH^4y&PCPr!l6hs89^JU!CDUsd0z<z8%Si_g
z<PuiZe<;O>Kgf$L=W-0dZ)S#Hql6u=-cakW+Q)>-RA$9caRX>SzMp&1gdGJPAHQ&}
zW5%1ea(cRN>O(TEQs%$kY^Y=$oz<YlioPe_C%uu-2RYBU!*2%I@Wu%-$=ND4R9o&2
z+?7X#y`k=n3^QyP{Uu33eJ2P0@N{y1s6&Oxs%)+%Wp<?BaU@Msm<v5vgBQn958j@-
z^kg}X9S?5mu;!ZO#ssS@0bLJ0kU7ZpsfmpP)7%yl)Fyb*JdHK+`7a81h_Ns}f5d?v
z*Ny-1Gw|bQ)`PFxuT#M3>)F-97*4FJeQWexj)Y3-DVAj>6fls<E-DP;!UFNZtQ2<v
z{M+%;tn#}q)HacqWG`{!J>BhFGj9uGORY(^OQtStzREFG+suQnHWiRk*MyK!b1VCT
zyDoI?nRh4^;X|Vf`&HOZieM~bx(-!T7otAwZ@n<Uhf2q8`X6T(L)`*>!zV*z@a#2D
z6RhRO6F=PJ&8x*xC#TMVQbmTR-yX-&mynRQTZ}X9tRyCIXenQ~P6odq`9Y4y0{Eu%
zi)=`cG(NB)$CsTZLyW%Y$Yh5gmNIwgmmA9Bmsm@S+E6k$$u0zXF$?1fj}s}xW;ygq
znQi!fgbd?Wa$>VvMeu#F|F*n?@~9tqIWHxa40c}m(~32sIPMb@UzVYOmuHTpQFF)u
zpI9Rdjl^-!5y#30J&G9Tb-*LIiwrE!?k0<LN+3)-ntYU0#&&vY@wkvKNXL~KIK@h#
z>l!xQIHZE-ipv8Ihw4I#*g|EGoebV*3Mf7GLKTl-*Nd7#T@bHZWjTLM7G=^ornp4Z
z(csjh;}L-rs0fe=c%CSS<}VVlIzR*W&K;Ij;M9ZTHryZj6Xo%KPvh#NQcb*edNadd
zlO7cB6jv_3s(`naHr-k2*TVVgL*`p^si5-xpZlf^MSL1Eb@AXYZLB4X?u4c5!&K^-
zT?TiR@cKIrkC8zg<T;dg+O5z4wqN?^;Fhn97Ht;yx}C|G?J~Ubt-}x;HHH=%vsJJ+
z-$nIMG8qq+?Y8XUHim1@C>&N7RPpVU(8Ei`WE|Q!#Zhk)_}f9XTi&gPVvN1M53|Ym
zg{3SgrP35~R-b*H7F9<|d)<RD{|&sWOQ(+C92UGjA2q2^$1X?hf<<~Vn(^E22@13T
zH$i^BZ7Ld=-o2QR_*ENcj&VId_>cy@J#1bfM>Oz5v*oyAfENB>7?(0X0-(4@q5or|
z2EO1OeIJ#hftz3PKb-yzaAP?d&5vo|OG=*4&WsISzYcDT54Hqh)v)gG8XCxU*x0OQ
zp9<FV+*y@uvINtST?So`)iKtkecOFbCG5H(d481B3fAd4LvlFP@#RjlO;g44sGuMm
zXl!5wdjc<CK4YSW4jpR>X)dzJdRy*Anw=HYIENm8XQPUL0|u+|1tc*^viZgdODm|Z
zWqv(QRzdyqU?lcV1piVqyQGz^Ks5II>NRF%6qWKjS~n?xHNOL&yDwY92;cO-#%4t{
z`*JRO=m;Nbu3VT^cxDMI0vsVOaSAxH`X(D&IPkK1RzdnvODI3%DSXmY9{X5qOJCn$
zMsCN3iZp3U2)fWQJh32)6YPb2Vl;X@5F;vI^9tZ}f}9{%unevl9PGGx=r7@!A^i{h
z0W8ZrCkhy(u&OG-fvsneI4F2ufP)!8c_*7G^TyvUwWddnUY;Y=^#zj^Y-w=xolyRC
zk|@4WlksaEoFvLaZhNf8Sir*bPxF-t!kE)p6E>GMPVD7<^3$`<97sNA3;l})QF?^w
z;4I4+p&6Glc=WFsyx`#UT>3>q4qwOVBOgYHihuj9<t)r#p0#+_315Ef_|PtE*tUV!
zZw_CGGljrF(ckeayyzA?_a^DlC^0VKk_Me7Q2*UkeRl*mj&s{;s(5}UXw$?6imVBU
z9`HZwO5?=yzdl)4WlRu!-&Br$Ic5x8Ki8a}II?5KD7PVaOcH$310E)Cjo`-R2KCeo
zRy;DW>UtnzhG@RYr(msV1mXL)(>^G&pun(|rTy_aVxC*Ob@;L&)Uhok`A#sQBWF{f
zlG{ANy4~js>yiQFIM%q^4>O{#WlyfL{UTBIAo$y@eFkua+o+b{VZ^AX3^VV%eiMR0
zTR0QD^r7lEL#}fm11j^YHFux?LyXp6Fnn#R4-1>sXJ1Xyqa=>~ifsE!3~LnJr`1#8
zh^W`3YX&`9$Bhs&T5CjDSkTp36DrUZd6gXtrbiKaMWtkSIvh8)_I>|M5ANir>x=B8
z$D~p5eNFlFSm^Q6eH`>a$b$Z3WCT6_lWjXmW?{s8j04rw77B#S%<nXNNRR1c@d&0U
zCZr2cKL65#0*Rgmj$W(`=;eD&qLqyWU&r2KE11xQSgtHWHJSm#TS^0+%2{#u?78fP
z7+v_N=Fzl`pAq~1oLWu_W5=xRJmnqYy1?Y7`{K(>MqKie*wf<9iS^&Z`}Wq7;ll9#
z6jB-!zPO*Q8sW{2gNm)Y`u324Yn(KGGoBguHZo3|CGw)DkV)2mY-D(}LosC64Hm4k
zHS{?-$A`J&oqKFTb>R4@(Z?%IthlwAMbS>5go4jLF;G8iL(DvP$s;LtOnEi><IXh!
zT*~~?TJ5S0@e^IiXVN)vbZuu^4yO>>fB3OJ@LmgoyVjr18FJwZ()+l>xx(ledz<H{
zzZUQ)|1`It=RtP<nrP*nqF7kS+P#BA3#c{~mm3#(k>yh6+fTaUSaI*=e*=Uj6u-#n
z=H%kXnp0SPNLvy!v6bh-MNK%<O2-|v!EgSP%}A1)G%6{Fye|pT1fCO3N47)=V0^r{
z%S$I&j6U{;VRgSIyi>o#E%-qY<8=bF`QkTnrA!hzB|;PSDVJXS;VO(v&hw@EUGm6N
zcJa?>nI`zBnU{`@iQw>WMXh?WBIYapw{Mt53l`)ZMZaW<VbaK^>#4a)`0BuE`p*ek
z(Ea>JxJ9T0hQx>d>QPj|2(I6W;riM@W_aVowoeNG%6)6N^F$S6OEk|F3hKc2rfP?T
zBQm(MZA9R+vpTZHy5T0F4WFIgyi4@0EE)&2ORxOUz+CCQqeAs$2s^cfyK+_z!}qpR
zKgMYx<<H|R!315XE^!Q1kygN!tq;$iAn9PJeeMz^Y$Lbiapl!+Q^fw<V^^YW$fz$-
zq*WKI2SZ}R{C&wvSkdUi|9Ogx7hg%ZuvJijwXJP0OOrAd&=m4i&*<X%R&tRdn*j{Z
zf7)98PX&$2rmojc>0+(xtox~GLm0c#YIH(L4Y?)%I8{<9xKB99`wWjU_<w%*c-BN6
zeFoI4a~&yo<2%!zQ%_7_r{78jMPCC~yrmi?H7Q6PYf_K%Hv``WrNqCSns`@W<Wf?X
zE+&U^H5Q3kKv7}iMRK(!9^y{DIc%(pds0SvgI~}<A9Q36=xAZ1&y#TShCjZ38k=HW
z1Q6X_cYa@p76xtBit4S@#*s`x$pvpq==2iMBSN+C)7{-V{WML~lWXD}-SCU^s=19;
zx>{JiI2qO%qlQ`1lgIa-v;w^w9&xG_nz&s{=DNZaWn?{-o@?7<1&t?*TeX%oaQFR=
z3&Ix_P<KVt!;0S;j9wT0+0U$jEtpd1eL)s;Wh+VD8rCpmHZ0ciO$}H6Ca=$JmO$?(
z_H2SG*6`Soy}dI{6@Lv`Znqv4!e@S#AH7(tL17(vpQ@{%W`@X-qIEtTol4{FXtx4(
ziQe!3ij|Q3d0HuQ2Rr`Wx5w_+Su4m_J@BqeQW2L~9V-?F>9M&b9nDm%Ai2pVuHuqB
z?z34-QPuxVaBvEGcD=9!?FX8K)S4`=T;fb>8k``;fOX2r-4ZOyw)PVX(&+MPc7~DZ
zJz><WV^ux^pj67cOM+7pi=OI6r;66lf=jlTdWHd%IH$bguoJ^8J*gRX;-6{v_p2BR
z&;e-oYiV&m5XSCj>-<!cVcOYvs*bxf4Tc})n&w*zV&`}TolNd`+V6*jJ66F0#QkdZ
zZ?lt7u}wrIk@ADqEb>UfILI8_^lR+))A3=9@7v_(PCscw@pUW(>1Hr3=bahu!i6vQ
zY<W0r^OMG(**=ocW(s*84v&=ouwls}ldJjuA2hO-$%#=`Qy@q6?LGaE8R>Qp#LW(l
z)9ebZg>P>*fdlNLyQte3k))*7qcuH7v-48=7@1-W4cR~WlYi4;g?(bm>537WM=9$d
zb<hZ689o-RyjdmE)i{G#U504Gd+JCD6eG}{yyo05w?g=QeZBC$c#u|{FZ4(C(nfF6
zPEu)^Um{HI{?5DmxR+LL#*p=4+yI`OY3(%8T_E;F|Is9M^w5Nji<!1K8bC~Grm=0u
z9N`mvd!>uFi+1E@Rm+~o`q2NcQu|243~?HbWcIH$(Y{M=;cb)Bhy5P1_dGZzi4dml
z&M6zDwSGP$e=wN}iWJIsLE#DFf^@~~?8kE28;6cn9(pPa`~LBg%N!$O!$h35PnywM
z3e6v;M(BZ7ASv_ur4i!fD{1fM@iKyJ8{772o&tLWTDbVW3=#iy*3<-dKPRS&Vuqh>
z=!u?da`KZi--xKa-VKpiuZePpa$dPbU8t)zkfuNUl~}Zr>k8i1MwDOcx;Ax67sivA
zh0mA{5)Z@;73spd2vS>fJR6fPxG`Q2?GP9se0Q8U@S(h$&|?<Q@VZKd`_+wuA|Cz3
zmX_O_EG9n^ZpEe}?J{J@JZVxF@wboQ;$u8~ocx8L$PS&$^wj~jd;#n4%YB4XRFD5e
z`~Yz|ximESiZ*DGN3)nV_Y<Z=yNo3NekH<fqdS~X3-a>f#8<}p3E7&p2U)L&h{V|Q
z0@X{J5NB^QwzFe^cs{6B8CN($m`b1TE1_rt<!X`)1Kn4G?~CFo-hwfL^UNp@_c0CV
z(}}vxR`-=SDCtjr_-35Aw0Cx)zE&L?M1>LtGrtioTt{7Gcz+W9JUvH>Sk$3Fd~P!(
zXNWj|sXa6(eu|KTL0W}}8l0Z`CPQr*CYX$#_pOV}5>th$TiVK0fln~}Vz$I65gWqL
zJCZm@?3n7NjIgP~(k_F}k{e^haZz6<Ntt<~Y<W0iCQt?9f?}fNEyfA;;R((MpB4xs
zpL+K3c4gRGW%k5H=m$|bY~c3q*%A?${rzs6p)yQLRzz~iP7>`u{W3e+mx+{Luf*~S
zl)%>ec0>FAY2rWiuOSBn{t`D=^%f$;l_16W#=|W~XNkhBZ%yIXR*4a=t|i~=im-NU
z`AgorIpRyzt%vti=`cWV*Zc*3MaX08NKf;eCy3w}yPy(!jPNR35J*!1mv9yG3zkJ<
z+``?%)twR75APhYkye0)+joDee_J9_4fTg&)tPa{U8&)4nLJz(nl0WuxlC9KO8iOE
zVMS`=xl6yT<l&)Fvn-$1Um`WpjdUc49gDRJmi!0hK+3Kraj9sPAbRpH-s<N>9`&#4
z`_IXNcznGTgB~6JcZa@sF@*=;58f=O){z5+?rfjKmGsC@%xZ+c;lsgeDHr`mWkKe&
z=E80tMr3?qD^+liguT_8u|@Y}VW>P+poPketvfo}%#8(6a^U#Y)uXcD9(rYc&6pJn
z$W=c@3^w%dwFrlalPuJcwq@N7XU811>F36NqUfNwwflyFEC}(}Oq7gqVr%=+<+>Je
z<fvz|d8H={vE8?H{crN%!hrwW<AYKdJXCykeUmKk9~cnPYUINmb`8g)6=iY%xAP9_
z$7DfwocE7(00|R@kJX=hB8R^6UyqFtvhYcaxoJXM5V=gZOE>x}U~(rNQ^Cf(<|3s$
zyXAz@CD($N$4m*Uc4j^L*enOe?$LEZmZF%!@KMi(s)FXuHRs3D<iUl;G3j<y93SwP
zsmQvhp-swyhjW&~#-6n+%K4-)s_mP1#rX|CFV8AY8dHSj!taU`4Kld7A})ORlNQE0
zc0Xo`QHF?&{k+s|awz4uJQyHN#yr{EYLAboLKzFKFQ`u*nfiya(zfYhgNsYs^*8FU
ztDvL(#VJMPlIncq97n;Udqek4C2E1@okJaA>dLs?(wQTxKo9i|s?M+<AVbj$E3Vm5
z6*NosXjgwgMTzLi`=J&T_?XjbmU~YP`w#z{2uRXL`?lfjfgV)o3p7cq_R+vkliSH0
zx(3*A@yz2t#Rd?Ox=l}tO$%8c?f=Dp$p9nnD;0%l8AH)laa#3NZS;#sPu!YlfS*Oa
z7CwG&3Z?(p`+rR6VB?}f{V_QMJYAwcLwC^vPH3}AHJl}5$o%#LhW7e6-G4cG_bq@4
z=EE9)#>n_CM0GuWRS!c0La(0dw*;3<sa^e2y4do#cxAwzf-XHO&d=AaV8X|t^R%2U
zcByx7Ni-oNcf~dq?FDOyZTOaLJ442*%+FI#x;4<5!@YC*p$)u&k*e?nGHxn(^Hkx7
zGLGa6y>TGh!t-4XB$-|v%%^XP>zk9q?NY72E=O%aQc|eS$x$13_Qc-`wHL?B<3Z&~
zCvAbhV0(YSQBAyA(em5IhaX31<aMfpEyUQ8f4<tSjyy$~Vz;^(aGU<u1mc$sY$Chn
z#>=Z>K96O<o`?}5l<QSQ{AnB5ZDyCQ-=&1=rYX9zMiaCXb356SrmbP7HIS_~QUU2%
zCJxmyt<zpv1|KNdZVjGG2cG1q$>F9*!|5XrSm3{j<A&muR*=p4bfWg76!Lk?sFabo
z;G$3VVOJq5D8CWK=#(OcwXNTXLrc7H?#niN*+@&^_cj%cz9fYDV|5>W-1x!u#6%F?
zFu-ur%EhDY{CJS6RywRk0=qCqaM=#<n||$>V<i{5mF?Llc8>)0JAQYWWYXZsxG>}P
z02Xw6$#PoZ3khzeckY<Zwt%*mEj4$`=<s#S+P=lFByewE9+P-z4s1i@VHw8XguheB
z)BHvfjOsX5G<KSSBI_N6#=xIMtk$5<U=|4yJVx)du9<>zewLS5P!AzDS^4i!FbO*Q
z)OY_iGKE|G*6FI;FKF=rVmxK0B;Z!|d}?yW1pKo%Y5pkvM*F;!-pMXVf?=z5-o$oe
zD0xYD*}H0r_A5xQ%=-^NFl*6?a48$ZKrcDgeA5C=i*h*EdWIi<tva}{CK!Qh->yhW
ztv@uTtwynd%ly#X>aj2~V+gX_xl2XzS80l&mf_EYNg&nLl%u`Z5IS7PCWQy-Ab`8{
zQm!Kj+;$XuUHWJMT-s(w&%R-RteRc@GB-((9rm`Q&fNg6Wqk8Ja+L{q+&`Ai{3Aj4
z&ZxD_UVTv1b@$t6!vbv+#$$I*34oRoEkx8`A1Gj#rZ>R~q0TEKclib35n4*=FH<39
zD|;#>o*l9mzWI1G2*S3uEIzgrDs&Ch9+Q{mgm$-=QWD8RaHm`^xrR)I$uBcs9Ba7X
zs!s5fZJ02ea=bio?xP;09_qZ7u!{%cdJpK6!$d$Jl;=%FydIR^lRJ~o#0MfWJ<jB0
zQLq|(c&o@%4{YY|oY*$Z2e0ias?%PI!L<qJgq}YX_{pqe`lyv3+}xv8?+Qu4Y>$&$
z15)7O*5?_=2@-r-4&NMkP7=O^??23yLV+AxF>f*oz(teGixS+@FuFvr2L@9>f_;;R
zeTN`$obr3(_*e$!`tsUx+$g|0EtkDKB?JlQ{cf1m$ij_LGlN@}6p%5we$!D(1Q_h6
z)V3GM0c(n+t1FEHsUExf1@?%7UxR0M(H(h6j5YS`a-e|OQe5QFLot}&W#u59uK*rT
zJVb2$DBvZMe|KercZ+s7Rr|3bOdXoAAGksRPR5`2tdb?6@bt&U&PFAWPl_u4)JlQ5
zS0tbaOT&mxrEt)YGAxnYv_i!7K*!f8y1rZno<De}_+U*1a(@_aZ;sM~x+7uV<w|AY
zFN5*XTcT>9V@3C4eqIj(hosZ1&&$EJMk>o54Rx@o{=)SlmI_rS;=Ka?@<92mFYKkO
z0scGqem_>whxYF+4(9d>u<KF%GgZZn99DOJsIN~S7+QuI->54>bK!Zz%72>R7eHs-
zP+|a=B7gEWaVUYSCPzhJg%${|N`~uSF@)_7lGnbEC_&WZ;o=a`24Ve=^G5MTu>HXB
zQSVA+=zlkELdw#H2|I4D?}^6HQ759n9H9dK%onODgf<A$A_@O26Y%4ZymwAj6=KUH
zDx34PA;<sy)5#~MP$)}X@@-Is2$jsp2wQDnHNB(o@vRwzxVkcIwN!&%xmHD<TrJo=
zv*y(|Yz`_jr8#zY)xh-EUGc>lO(^nazp!=60=6bzuI?I8ga5A7-#va+1LBM&B@#zy
z;1js>fX#0;*j$-aUB9un%Kq-2jC}x?gZ(|H#?>HVwWP2#RTb>FOi_kk05}-Uj2c#`
zK~>ZrH<u5}FiJk)J;i4U$L3>Xh#hJmVf}LlbyX35boqWWaJGcR9WD8eJ*rTuD|6ts
zumTYOC0%4VVF^8V+2`wYRpC|3otZlux#8_j_f(HdmhjuzxcF<R3eZo-F_slcL)=d`
z>$zl05Scq*XqKuB^Xmik$<h*#2&-$dF_u7O;H!L_rvwosmf`*`5xASUm#%29C3LM@
z{p`$BggR-yJ8~O;pftJMn@qI??`x4<kr@hbGyd?3pEL=!wU~Zb{s*wbQ*HN~i}DcD
zle(mxzza?+Cy=uaU}q(BoJXV_+)9e>Q9Z*6if14Dw}t~mNsHfiIwT8o@1_RoCE1`?
z#Be{CGQfOCR>Z+JX{ghYcB<UT3~}_V|8*77;Aqx>9bdO3l$Q)rf2lG;)fc8)5p*;-
zHul$V^MW|I&TOi$jG~8S`?V@ZcMCY$`ue{oWHCsW%ZSh1L<fN{d$~o6&B2gZSQ)=0
z0!%IY?!TH{quEiq8|_xjpi1AuF^yFi6jyTJuCT4qj9R0`=C+zajBAu<PQD=U9(=1i
zS+`1)8msjgy>AMi1Eq`{4+y}Ys_*p9ORKaGEceL-vnkk}nt#2;ngo`#e!h~sYc#i@
zM@`cQOn`CQ?;$oDeh8_b?2LG@PCI7Eoc`*yG1Qj7EsON!gGsTyZczzzFmOWZXQYNP
z=;STG__c`_#&4c_!0t^Crsmgv7^WEk4!U1Dz0M8AOYOT-+!%mxy2>HNXauA2oR9iu
zxZv!oAKktC7{N|d(ADy|AuPJlJ@pmhg5>90UKA%Y!Owd$S8IM6z#L6sbHrgz*j%^G
zE$1CGe4c&Je9PYeO05;f@)kKDuzGf{0+|(j_vV`~kLttKt|;H)k`3JH?q4Wi1MQe$
zVlqe{*dGUUT}<YH*mbq78TuUXet_{%>Mts=Yh2lul)(W>X=-K;gPd?BbH`Ku4Lv#Z
zOy;uHTMl4874oMqpBq#@`-~=&s4y*Ww3w*Q35i#3e$~Ig3lU>y4NUIq!4?b4(3CPx
zsA?!_Xn4&Bx9@Y9Z?V&Z?7rt0-|paoERHRH*`N5~xWhS`=no3y?Ue{;R^|q>IbY7o
zDhZy11;6@wjRO5Q89#so5BLuGCz=`x!j+bPHXK$I;PJbj{nmgNd_VC`w8RTRyl6i=
z)3PowYnnS`oAH5>JY%%rPhnuD29sSYH~R9Y8~u56e86&D<mIVAQ3zJldLO&dqazy+
zaxc{KLn&8Js>8Y%aHaV;*x2iW)Wm~*Vi_cm4S2v=`cMKkT{a2ZEu#yY+wxzRBnd#s
z`$H>NqNU(1-Ob+nbh_}^g^$ht#)iKNEN#m0-_Y-#f-03MGE`jqTz<Yv2s9Has_3d@
z!Ph=}>(nS2lsCn7%uWe|Tj$mn&)&$vQ}Zy?n<PW8rvK?*W}<MJ)$ZoM5qaoM+p%p6
zy)IPC-;Qs|69XCJ#maZQitr(Sr|(l`U2ro0q<&If0>qk)lV8~?!T$gN0RR6Kmv=PR
z-yg^AO*Yx%<70h3eC+N0G9#H;Au=i<iIQYQ6iQKqigrmxGRmm;m4?k%NcJdE_RQ?(
z_wPODo^xOK-1~SupUc0is}~Qe!09djko#{%prfU7e^~+%=!E+^bMjT-{oJs~`J-Y$
zU3P4zwow)ga$Xaxm{ei!b;Fu&9tp_1lh`N5B@b8BZp388s6yWGTtU{31RSv#+biU(
z07AKInbT})aE{%(^Y(%yM9lnE9=@pv_G{*{5#?&|^Fjsl+;1s(<e|-)fJl(}i7%Kg
zTpf}b=^fQ4rQyTV2_x2TWKh9g#kSdNzz3QqgU2QakhV%+5#Oo=G~o&IuKP6MV`|^2
z=}{R-TZtjU9cB1>q3Ni$lNPW91}&xc5MhCGE9${s3h>6*$;?G)gW`@^brvoQ9*^#q
zxa^|<_uOF5hhiPTbCl_uv*aM*16k>lJq7N2syUP_=t83A$5X|J<iVYPs8CIV0+g6q
zo?tzF@V_aPSo%*MCO@SF>JKSH7?oXkUV;J4YO2(qO;CVW`d93Qx0S&1l}IqxCqr-|
zk=8`U6=2}K_*c|G28}3XJ*{O7a*WI`-w{xR6`uCE0do>8ELlJNngEcbY8&!TOcAv1
zU%s<>Q2~zocF^_h0Az^9li#i>fMMR)6^;Zs@VDs++43_2<|fkN@`nm={RPrb_aZ`A
zXYcStxe-`KR@?~{Q-GvdL+?`r0^Ix&>Sr-y1db~<Ub7+ca5?8qN#nRAFui-eJjiYg
z0=L=5Pv^?PxAKC2*WATHyEL`eN5B{=>rULWe<2IyKg+KXC51tk<w#Wkt1;N-38m!R
zAp+AkiDDmR0VpzCk0(tV!END*u!?gs(5-rjMKy~D^k2`FnAaM?V9%)!BKrt%9v}YZ
z>B|Y9k99~T#u!1U)OZWi9%*pnsjB&>!U`E44V}drMvxtWbL)0XLR>EYdU^;06ihZV
zdi?;fiN5aAmL~x(FDTXtU7&%!p|!(*t^w#BHR!h)5d-CmlYQ#RJJ_{LrC*#>00u<7
zyX$g9pt@JBuQ6gBYxX=toBj-gkJtx=C#QsfOHkdf@cs%$k`2IBCk-L{$5R^BV}el5
zC~M>MZ4rwq3oLsqZwN2d2b*0k@<X*@c(TpLJjQRvY#0_~07d3;N&`4A+<o5L3{7)b
zge%)jeW^aYf2PfrD#HU2!*Z(U=4P>5EWuIU8+x!a^3Nxzlnc;y*1`$JIcz-o)3Yvf
zJy^r+2KszBA-t~RYYcH7`+GQm|4f!Hd@4#Zi$2W(!}^&~9()TJN4keq=(G+92eU_7
z`LY4ihkj>@{UX-l9GW+2rUR2+Z8l%BSm2<QLV#M!5@uM|^LF^LHaxreFx-)q8UB2x
z<UYKxf|=8L{&r%}hH9IB7yW8Ra5Aw>@Nrqg==yn^O-^b-qxvtZ_6H20U&tq3erO#t
z*kZVLzgH9Jw&$6nYv{p&Cw#6iW)mCx-D&M*p$X5tb3Oks&;#Zlef0asZH#CC%a4(@
z8jyJ0_XqVwIylNY+?2&f1=c<^zSHU&P{G_Xx*|;nasS!X+8?3@c`0A5*QM&<**dpu
zH%|*~r-rMOifN$A)c1aysyZ0`8M9d#qXiEiC+A1}bTFx_I%V-z4et3K>=56eh1>t^
zMFMZpL%isZRkE=fTv>aN;;&8zYSmL_%(9H|CS`6RtwR-xHitMrq|w369`==muS`H$
z5D>cNs|q0vO*7{>=%H@MGiKx-3mkje|JG<z1@f1^#gK~VAw(chqdkEQoPlICn56>i
z8GT23f*3$@HbH*jItLsZKl3O<M+I_p4U^tkGlJ($A7N)NPLQmK>3%UnfoZK0wg@{W
zD79VkYP`w?1&4iK1f@~{(Tn9xoMnb6fyZ*iZQQVSOu0uNC@^3Ud6|N<fZztV{H#1L
z#JfK!6I@b;qfZ(baWWf}?b9BQyw3+8`m9VphAD$h(~}OZdUlXCSiWGUA^-=R(;2I2
zm7zwCA|D>N2O@q<cd3mE!Wc4KIQc{g+VhK)jVd_7YwC<Rcc~B*yj@gHcToZYIsT*x
z;)1p<s;$^ZB7oIyhVK<ug3^-?oTFphkYr=Kx3^LZ4#!>Lv)CpBe`<KBt{5*Qf6~cJ
zIwt{4jh!v8mdRj!Q#0#m7$0<5Iz=}>m4xWP`U4n~66`l@EAblV2WdA6P4)>XpnmF?
ztE;C3aaEqn8^MBbJ|(&Mr4|8RXvDIar7J-oicoCe7lOZ$jlYlQ$iRqW(5N$qGHfzj
zGu`YHhRW{)PKL~~aGEafZfT`5yqA5GvcE<Y+Lmv`>+W*Wi8VUTZ<qJC{+8%8REk4_
z9xt5*g92c6W1%-%DbS?ZeyIPa1k5|wxY4F4!pOUDUd9j=sK4JSQ@AM!uQ$IG++ZTZ
z!wns(I*KZ^;fmHnLekKEM3z6|yb|0vwHRl`r3MWG*$!WT00pPcynWiK3@^o2zun|k
zhi7k&c`cuifp0x{iEaV~0<{{F?(M$+VP+{mp_@d=cc4$+Vo-tRh1^*Ea81Yy%fHT9
zE(>qE-nqREPywR{=uuOb7Sz8Rtoz<52Y<N|%P#JEnzQWj?3k4fxM*z`*0sn3)%ZqJ
zca;i=h71cEbn8OUJ}QOu3I*_&P*l;)Q2|%-uy=vKK2#190{WvAp`)Terps6bI{nvc
z%(o0+=!~PJk1z>rm&9!tD=5GbST8z}fWdHs<l~eS5;#WMmGq4&gQ!Ptq~`^Ily3(j
zzkeiw*hK{@*%dPAXO=t{mNo*HQ7rM;XA&@SjD7yER1wO1WZOe`eUuYfr>C1rf}65=
zS6(W}!!@b=2TF>@Kvl(l;PPG)h_DwgGldf&g)o_PCczk*_iH-5I;jYRb=SG6m(nok
znVh`(-WW>m4C#=rE5Jt8-K*Q<5^%Hog4bG~F>v%AvQ><ehl>hhW%rMZ!12dX`BJ;<
z4RfoGiZ*gEk^B8qotpp*wjJy=#*N_uXHw~zZ6eU*Ti4vG<p%xL(?#Q{#xQ-8)jums
z2Aac`$pZ%LP_xF6ykKbz{Xsbn%ex+(Rm&ep=3{`($Gti}YetZe7|-QVBn3ag^kgv&
z6@0&%P&c1r1Rh^coo~>Rgs;xOg9X-Bu+SkxnK^YM2rp?R_+*HKSLNOb)5<?s?X~Pu
zax*~eWTo_crwBwQ4v5~Q8^W9)8VM|W0yyS7zV1;K0tXY_gXY<vur&`)-aS7scx?9W
zR(_QL=%0?rUF^=s#p#3qKtR90nL}AIkTty6Diz2FX#@vNJB~*DyJZa5oQ5HAm0oQQ
zu;hV@pKsQ#KquZFdm-bqp8*7n%*NR{aY3HuFvrwp7hYt<9e`)+!&bm1uej(QNNf)1
zIO)`lS6IdPns@3!%J|4Pfk{??u!H(o*H=91q^5TgmmWy=pH=2!Vus(A)RHz+9e4q}
zn7{0-3sgLWz@i8S2to_CU&k8pKT3@YvJZ8jHB(k>bC=IlH7Y0X1tWZ}`T(8Lf;JG?
zs5&dPXu$bg_S@Ft=Q#aHeCmC3ZFo8Lr7rdY6-0W8*prl=V)iW$L^vL5!PtReC7RW3
zOn!%PhjtlZiGid(7b-1yy8rtHDW6TuF%kbGI@E&66N}RJ`)PuFmi5bYm36F%Ecr?E
zY!~L)dgJ|@77ZX<&Bw^NuVFl^{{8-!`Y`i69)`0z8n7&VR_tWY3U+vFQ2gKi5iB~%
zQ^%t~9e77%#opar#%{c`PVIFb#{{~{l&r+n;iE%bzWS3TtaC6f(EIoV<}x@EDV?nb
z!b%k}@1_<p?hvDGnTu1H>9r!6CSEmYd+}PI>G&e1&UV?i_vtitW~9YWHd7T|#E-CD
z7FfiN4oj^F4b5R*0}Xz}y{b_1C<s5Ywt$s)e^oEcTEITk5C|0yRA9^)V+y5R#0IwL
zrVrXJVeNM}d_F3wfQ=S+w64w~mb!WG$e_pyCO%-Fzpt7Cd)>5~dT%dcCvN<0IzhdL
z?agNO)Hpza!{qDdsD+oXlA#Ml-ZbkN^Gpd7N4+wXnhVCReO$sMGXCU+6E-ovRgtaG
zWhI#A)*esHSjOt~{w6;U+Qy7an&<A2c6sjS>a&r&f~{L@&6<z=!!+*{_1y?0L#Sb$
ztK_p)EZdKKB+i%`)LwnfJz7eFPq*ZHjDN3Tr=PLahQFeLgR?2QdOM1+llpB;!gU=x
zQCUG_YCs1`*1Tng4vJtRC-`f1VFPQWTH-x6O%FDL9}`~|DZn!yOR>o6Eo^4P^7!34
zM%eJMIQ$={0$3NNFZY%2U<bBKh9?m-B>2<E^F_%+=&|o<zM)jmeEcL!-YhGO3wD^S
z&B?)v&Wxnyb81*ukyCcH-OXRO3qSCllmlIXWJiNd8W77RbW@+<gh$aH*_35jP|W-=
z!*iMr?vJv0%?xot<rG7L_GMWxzbmSe&B_28T2GHt0(pR*9Ik6k*yVffvF$&tjL>9v
z)}>IG4-oslsOEMeC?|-#469)V5uX5lw<UgH&=0%roI(W0Wl^@T-&i4SoW;dpMG&mV
z3W-0Qh~QGe^X?as1G1{!mhB0`K<Zv<XjCV{ivi_fFK14$FYL)aeMuBD`;UY+%M)So
z*txh*m0S?sGlFNaNWgc!huVtTM3_<zl&#m~fmv7Lz}J(KaJA#9W|c1y3N5-yf_r%(
zMg3%i__P${cIOn1y&}T-p0>XzmmjP?pZoGWkpPWbVma@3=i;cn?H`#W2!SOA!6Q0E
zSSE1k@_mwpYtN3%?BobR@Zd(XG2^b62Rd6kv*lpjf~HsYs|d`@*Y2bGBM<dwW^a~1
zl?R3gl)WtK;xORdWsyIk2wYtk9~CVtz^|Xr=DrO|fKUT#^~X^%ysNl*OMKTW`|Vun
z$JC@?Nfvy<ekw!V*A}+w@ZCJ~_I{P<9cegeosdC0PXVvCXntJ}3Y^&XKOe#_1FR=w
z4ZKHHz|Hf3_t;Anc)VwIGB%kAYdJrIM&GG|zWei%{}k0AZo1hgo=FZKUK#o+dO;0L
z7ndgs`_<vdhr|)7OY(56a#ALpT^;DleYx}AYJ!)M!*KMx0wh?RTva`xzMD&vB;VF*
zg9wG{r^#;LW9n*U^o>`Cs~DqC+>kD`F%uKm&XYmzrt1|UTXm4U&Nke{X#j*Mj<X|C
zN?`uiLDaHA4O#;K4R0D_aQ<Sj!Md3;T&;fIrtn7<-uk$gtiA$3@2f7qXjFzgN`jw5
zwF+pmrmz(j8bSQ4p?=4IySYTUx=O;30wXFN@4u%QL$V-q?ZI8I6J7@N{@TqscQ(h?
z#Y{{fTQ8_R_oOmhHlL}a#pL0t?JMcy?ItjI&(lcgnG&=S5>r_$WFXVhFyjiz6drpn
zpH568!$_8I6~RUl!j)95L)}b)SMYYsoCXP2KPDwC&k4cuGwIMZcT>nN$x8aY+gnGL
zC#pU-@xT#D*#ioirZE0@?fkV-Ik@c4)YDSI0=mIg7U^>)aO_sap+Fj0K&~&7pU&-I
z;of55);COGlbo7Y!6gIQ9h>8`b-yr*%jr;05fgZ-U2{K5SQ-+xCKeaZx8X_xjn#s=
z#;`ScF;rJU68g>@aB(~|kDD`vUhU#HhAz89a?+_{5Wwkt#*lLZ4>`PXpgq+HUWHgM
zN6rcX_A`rQRX~L{>85Da=#Ai<L}0jWyZ}r#zY8%jqeY=P2cKxf0$5hr1Sr_@0$R7+
z@L;A#-Y-$>l?@ESqNBZ$D;JpZiTzxYVnC7Qa&sP37<h>LG7kVdSSz@DxmGbC?HqFW
zb529p3jVt2XT=09cQcEOW*JbUSxVStMFWsHZKZ*=(t<(MK8$OK0Yx~MT`IHF2h&x#
zuk#oGVV|d7Z^}GiK#S`SMT%neAiK}9%3bd-Mix8o8@!JJdFsr4>UyIKW1?EIa#agh
zyhCv`-8en^qsW+k>8}oGW=1+*|L+%e-v16mLkv9%a?BSOFw%ibIf4RCqkY)E{kY()
zG(8Gr8pYPrw4tHZIPu#ngo)n2z#9LZ4o%MwetP^%3sUCxWPgi5_?wmtfu1LH$ly8q
z^g~lEI9li+xGeS!H!``jIi5_1jGvE@(w=KVU}r7$Q}Z!g|NXajc~|LBS-**iFsCMv
zr-aTl9GS!~xmogQ71E*JmBlYR(HbzHA<O;e?+or5x-RNCLx<MOEvjf2)S)YN>;YrO
z0zPu<_=b@kJtBD7i2n0ehX>r(^PbQw<9Wlx5rH0h)b2#n*YQ&g3PcE;^A4*xi-W>s
zPb>pc9x?CqIj#l=jUFl1T>p!I+4|BJZ^MWz)@!WuXH?-<qrQzWzJcGol>1o2gb8_;
zix%ZZsKP(#&4Re;Ej-Hhm7%g1GqMY~5n#cj3TZwxwqM2m;a0X?#L>qrsKx4q-<x|X
zkaDT!1S+ONHDyjG*SOh`XK88}t)>cGpyJPM`$mlpxSa3zEM`Y8BL^((x+vgQV)=QU
zofge?Ha)Y5*n<LU#Ijq@Q6N(qLQ@^-P~Ibjfy^pS)E=jM`>g~8dLmDme=Md)J+ZB2
zqa9pm<emP-nmlD_nO$0J7iUCEW><?6X?f7^bH}JPnUvwppmEP|0Ta4gGe<9SkQZ?r
zGC%w=MhOb*D+P!LS<vI5msw7Ae26lt(|L|o2@WVco9z>3Lm4$CmlkXV(9Cb==b2e#
z_y^OK2231?KEd~SDb-%|Jbs^Bo<14UKUWtvvU4Kp)(~#1ZXxt|+$qRunFOs~#c$F`
zT<Gavp*Z_?5j1^#{6QlkfqAOcD{dcdbYq&YOk`dRc`W*P9)3cCap~~=<0U-kbnJKH
z!Fv)&di+Rv+d~p);vsf%0(_{}IO1eUmn5P-RBLHiOM+>I9X`uD{78$ipuHs_jUL%%
zN~y1rfJ4M2!$(IDMKIY8-n>Xa_pdS3KX4`kAHP#b!OC8wSm&xiT$DjC-KAgm4v`^Z
zX0Li?yD(Y=a%N_jEUG!x+k7QM3Hm<EOR{|tMJo<lBGuIL$iJ;qEhkDDEacu=oAisL
zewJHgO11*J*A^?lWJ7`X`j7HV=_S!v3dL4Jg@n8|9{irzq=3}w=}0DdDHJ?#XqN30
z84=S3dc~Vm;7rf~_W@^Vq*}`~Sh!yq6?n)JBdb-xQl~m?@+twz9#MH7>`p;erT5RU
zw5h@EL3-7*A7v08nr-T_LqTU559N;2X@J<;ix=NEi751g>h|1a6{JnGJ&7OIgh<K(
z(IAo>63u&AeQ8DoF}x1VEa=t(NtrdX2e$IaEhO{oQ3X|GRR64_;<ye>j$bk0^He}~
zH@Nm4*HlF|YaBZ*Y<ggL6lD(BDk6&mj^U}SstEjlZ<N>Q19RwO|4tDS@@p?OYI>@I
zoRt^C_Mb2Wxw6mGT<=JThDSxVm{tX8vOk==L<ev!!*wW1o{R#+2uEj#6l56CnK1bo
z;8nwuw-z2`bfQ><UQ1pHeaMZ7I)8ST&s1)e7wySNIf#eIR-lNA4Ia<lWibZ!>;(G&
zMlu>^61izNA&36VoC;cuGY0R`)acq65(@XLjlH@igC1~6h1K*L19fO1!-Hx?bhJhw
z`rcnD^s}_i{U5st+~xc!9)T1PGw1!9Q?wGO(5TYmij)a7PF<F~kR^|l9RId19~MHl
zo-KJk5;TEaibbe`g&az5)73~8=0kFIa}}SKjN#YwW=d^85j{ya<TZEWM29Y}SBktf
z2Bl*T4N2}YC?z73^Nb@ClATZZw>Q8TXt!PXuXaeIj%lAy=cTF9?9$+tAcrv=Ey_H-
zWh{lpl`7L!^jGm#i!lbld?Of-;5@)tErAvuee~P-ZxVm{AVWD-&j<>bN@wn!6GM%^
z*aMovI&qIuBaMT*eRDz3{MDX2!bs$w{e^uJmDto17Uvg-0D_tgWAHISbnayeUG=_i
z*swh|5Zi$Pd?(s|app&oE!BMkBcqrr+)l`zH-zT<DmPr#c~BA_*_J-{6VtHsr8VR;
z1j=%B;=g7tw3BriM06)HPf7ZwGnfH%3ti%w&)tJoy52k5iA`ZOvV$Tmr}Uv;H069Z
z4I3JDz|M-#Ok#gmUZuu9(}SasbMI(96RO)=5Iz3;7iLP>^D%u~7swfBZz%TDBZiz0
z7c}iAuyY|QTO&kW_&q#T`pc9Skyg~-3RwNXbmql*G(&X2dFWF9@CFrX`1Uzog=!3&
zEV(6Si)%x=;Ng!3v)g!*$`Kn=!C`EE+wAHDk2d@*v(0rlzJb?TcPj)k_hC&gq7UDk
z)B?d<&y`G_*6_s)r4W|oE-WT0Pd2Va6B2_9-8%}G@r87BZhWvEBXHb&&p^=x!KI_!
zj=qby3d!`&J?_s~6jzcvSGERRnh3f#6+Dl-ZVorUqEuo2x}%1tcK<0?ETib?wHZ8L
zO3}Hd<}TKTci&k$qYm@`EwyUb|HgZn3pTg)pW>tkM!exuYEZUEE@JHTBwlPeX89?u
z24^Vd)#~(C1I^`n_ls92aQ6RdZFVL;;XU@IvlD}=&}s0{9i#h+%dlKeIoH;T#~vp$
z-9D@egWOwm_5Y3I$3oReF7=)GrfX$${fG*@`jS1$@n;Mtt9La8r1ju04KwdMA6Eee
z!-n`^i!nS({`{U=mp)v0%CBB?fdYntgd>N?NAbJb{NK5xhj5`+)_ZMYc6((4@;X&H
ziXZQEXgshpg7cp$+_}O*0scwKQ{8u?xW+A!2SICNxawQ*dt{;vu|dHCCd;Gv$=g4K
zooRmJ-QTsZDu*b+pF^Wlzg)*~^~+BWJ|X<V&tCqfdHWF=6!q8-9h@4&t3`2DqTdw$
zv3{-ZO&<xw9Na5|o{ZzJPm5-Leg1<l-f(^wAxMI=A}sAK$v<$9+x2YN!C5?KJd1?f
z72%!6p_1~PpZMZ!R=4RZ^Ei*+c1y$)1#o*^Uc=Bmfir2SEdQWh#KTwiY^N>m_LTw=
zK4XJP+%sLh)9&sPUTAy8Y12#|&JSnlUF@2|b>ar?3|&|7=WW9lC3$l2VL55!Ozt0?
z@SlP=yTKYRE_G<~#g;7W+<V@4>h27F2rL;d*sS9XR2ki~Ub65)_Ac4Ga}IADug)z>
z-^6n&-k(TrAcE?L?5n4w7jQFK#x5ha9sF^=x#)FGBKZ5|GYiBn;zl)pNhBXCG<4{=
zfk=T2ghjmck@>fTbCo~la2TORY){_(^OBZ<G_zy98_!noYO&Af^b=^2w7eZ-<|6`x
z(O$7X61j$JlSy(j_Vnn*9{W&cIRcz&Hu~>+^g5n-<LKr`Yer<{ZhTF$TpC=O)Ng84
zY~uHyd45QVVn!*tB4!@@q@l2A^!7F44(_A<%>48?E4tp8e9LuA3i5~6DxU;WAt7De
z5#b~bgy;ok`xB*LFxhZoaDp0{?Oi=;_m&fNw@<M3sY(H<%JkjQBw7@yjd6Xn=SFF6
z*$OegC4n<+Du~LF9-a0ku8i^UBJFPX9gSj1sN_&h{Qvn@)lBa>)9@odHN_Y2V<kcL
z#!&^~NM=+qoY*rhA&9b12{);EOTxBHK;pYWR&+^xVJI<72=$l#9+YsBgyuATz2ayN
zL{(+`V0~KzU1@qfo8c)5y{eWkZ<lbQ2xeuqg?e!`<H+cv9VZESM>4EBO}Npio-Z-3
zev-&Hw#Ut{P7?fk&wn!A;Xxv%?rFyvr4iei_jhy&QlK*vBA7GEhdMTb?@Trm(8_%?
zn%a`x`?)S8bYNZpDT((lbe9s*<Ac0~eF4&NC)kAN5=jUJC<P?#c`JvE-V?Yk9VUR2
zmFIt5St96~w2#_KzXB?9$j-}5lL6+ECpk1~;;4d={?fD{8M#D!D*eJP3sXwNe(gIF
z$jrXQsq45h8d<(&cw|@(%1fMf+9RcqH~&Js<}d}JCEDe>J&KUDudy|Rm4JL#o3p$b
zRnb+dp3`OdWGHQ@7PBgnK`uP&{%+E0D4=z+S@94Bt`J?S+}veRN9Q8BPgWgSm;538
z5>$ocXoHSw4tccntT!o&Q3HjNrh4mm)ZwMoo#3<Y70|Dp3ybn)8t9@Pcj8lXO_<3d
z{yghNLZvxjM`ndI(L`oBn^A!_#8iA$EB!%6oiRg-R?3>_V2nnBt*Rc#Rp$8L#*|TE
zyLtZRm<D=V>OFC=)d2Lv3DPGh6eMT!mWzt4fvN?*cPFX>B%SD^eSMFDwB)j~a#+-n
z15I-L_$ecJAr?2hI!HkkBjXD77gbT|1Z(5LbYpN$<5^^xqo7cwLG0D;zE8gns2iu4
zKsoo4@JI^<-C%w6j&6d4woJtQBkWAU>F1Na`EUyQ6Z>WUgq|Fd(aC-0HE0T6`feL_
zL&~U_y0Tm=R2m8Bl1nR;%wUX4=4Z}XB}7eiU*9cW6umig#6Q*C49wG#B_H7=q#LIp
zS6s}C_FT@af1+RpWs0v3*R?31GacNtxks3hO;WG0*|;h6#Q9AL6w9IfGR2HPZL4^}
z2WsoT=S|^%00030{}h*ZT#fG=$D3NJ)6m{~>YUS_&*wDIMo}oF@HL{4inLI+2w7<(
z8Oh4(d6be$qCKdDwubidJHLOg*Zq3k*K^<ZbG<)r>8ZT6SqHQz>T1Vf=AT@`&TIOj
z@00^p@TeWvpleV;>ObE6Qyn7=?K>#l?GA`pLrwbqQKe3tycJEp;KY|*V_u&=+2hO|
zAp_?yWr}&&rq?W)58PXxwh1!r@w0jE>=kQys>r@I`rJ<;q<97HmbuD8@Us%HZ8p*r
zuk4u+=8y<9Ir|zbxL7FQJb6|rR)Xr9R8Xysq#^ZTTUgV6py{Z1>`oyXwbX2VkfM|r
zQggZQ+BOkjT90bfk^<DR@nx>_Tg8ynHa=g{Xb0mL<NW#4+>{*Sf%0Uu7<Tj)HFN&9
z#hw>Ti<{B&WM*w<Roy-@?6o{GW6fm?e#r{+1+g)*&GNj$KTk2-j4khr(6>RZqqSnF
zX*ZeiK<C!5su)yMhfd{gwua^iF>q6~h8!0<dp~c42F>)7wk7FS*s`SbnWRG*krD3v
zP`8YRAIqLZeeScwzZIHcsZ=N7kfijaD4T}xNQFgXww9>%sp$59GC;h!GV^xt1se8b
zODG(?W`P^oIlh;i{}R5Wc%Aim8tMjiy?8Zej#TZBG{N_igw?OvTHkaUBwh069k-h!
zs=(-Rf9ovq?4Di3R`$M)2eP}KG?~F-;=!w$%zuPpP2%hYE-`!zbiPEcG{aMx<>b*z
zoS5-@RYa{3!?91#r_DZ_!frN7^0OT`ej3f{q*G$}UcU3zyq769{b<NBYve&o&GE`2
z2XSnW?cfw_H^GCQ!)7u;i*VMWIs1CMIQTOk?+gkt!I=@CbMF0ouqre(zJEyqKXkaw
zwD?W1dNXsxVxIs8Xx-m}10`|b)o^O$ZDUCPYhV3kUJ&O6@5^j<TY@zWM+UFC8Y6ha
zgXRYp7vr^iSghbmDcp5Pm#Uj&BK^3MCCyX>;T|u<XZA=V)i@<JF^>r;!F!>DJ)-!$
zYJ2RPTp2iV^HgeYXJYW?#Il(t8gzaP#x-%sA?frv30r+8#<rFo{`ir7E^i_yiVw)+
z@}cKx+ol-MdU|~RP`NnlbK~P`cokv$#JOq1X9i+2UmQQyAb~{B^~=<sDq;U&kJ`a}
z1~#=^(y|zr1f-?(D+m?v{=N{(e~W=^M$CRvQwk1L2(!vq6+>%e{}iM!&|_)7LUM;R
zcy4cfcHUGC+x}a2PBe`H598pz2~q~v&ECYBJF27aLaEUDXAHdGe|uS{o*V*JQ?-XT
zYG4b)&hlp~11ox(q$hLbkro;9;9|Tc7A(YEXp&6K*gyI?YNLoAsU=BL54G@QAwzV<
zCMH783igY3DPfWP!=iz2+MotSLx+o)5No-Y7vZjgD;z>~1|qts3;G)5YhsLtjZP&F
z3|0KOUq~#r(u2@UZ%rm;j5Y16oDa#XA*ZN8@yiB%?4Gxsy%%JHW6B44ECtmO^N**f
zX14(r%J?33shHxrOCw!zRvii+lAY084Iyl@eTXq`iYu2&KiKqZ;O>3-*^9PIv4;1g
zerbmp-1f|_)@am3%l#_16$4Ar5M0(j)M<`%>7MAeS6X;x887zcKO=m2`1>U9gatx6
zIZ~!CXk$xe@1mXejIixmM2x+x6)r3)eEQr+2iynTG)i)fuv717R_QWp{Lx}vR^-#g
zSW*^Qx7i5y1}=r9N7&$49bQ}A&_#g$^zPxxr3jJ#(9Lz%7U2&PDmIAf;eJWV0MTcN
zLEFa}$3EFX(f@&(_a;5K?q#ShEiyp0@FnLHodo<Vs;A#2>OtY*#`5#-`iL*l?eN_L
z{Ak{{$UQ+1%NJLB9Ldndg{-a4j5gqlUecMyb$X~9`z6v+stx`x{^eK9S>RZ&f9(dB
z9;W5EQZANjB4_h)xogoZv<tefr^oAp`(TQ}-9mLdmn`|Do6o}0Y$E(%s}7=dDuQ)#
zRFNtpYpGVnLb;00@nCUw{rJP~APZ%bTGtqu)Ut54olKb2*M@oH!R_we@{oA4;%9jo
z3v&1GxLh#Qf=*cfxL$!YGU+E3>+Z79+uWher>F@TdK_QRW=UjoEum)~W+5|{Az{d&
zfn0P3>+TeT#;Ox%@32@9RZP5=)~1G#{96at=LjPz<mj!n^T2B|eB*@|s`xcr7&mAt
z0Gsc7Cl>Mny3=X$_GK09(u+Ce9LtN^DB7>*8v*AIS8j4#2`i;eMBk3&g3ESBs|P>e
z9skr#u3iCkE*+PDNN~XTt+v+njRcn7l8C!gEeEar7ZOH}%n?;_KYG6B+JXDf{Ee-@
zWndZl^2*k_Y2tj1uT$WdEt0k{muo9a<IUM;1=@mB#Hq{5W%meML^NbaJU_Gq`&HsE
zad1o$=Np<D8_(EaeY2<K?6d?_iJ?57YZFB8nRcV1Hfwl~Q&noI;xPFlv#8+B1Tj_q
zy5O&oHGH!itxE&hT=|fAq1S7YND;0vXiu<0<6!F$pF0ilkNeis-KGex1Jmj6J1ybQ
zIk_tGkq8btC0Gq#o+gC#{#bv8C4yZZR!{K=V_w!z^peIbvHGHowrsWq{FEf_Mx_XW
z|KdWt<DWT##{2K|V<8JLa>K6H2MU5RwYrtozd$6q@W^L`n?tbRdU5?W0bCO=Q7t^p
z0hcz{-Gkj`xYY8;Z$~OWmIdU5nXvi(UgKHx4L>ua>uqVw<>5!d@{Y#PNiLLBJ-Gb1
z-W0O-`7Q(3_@G;ovdP<x2e!%k?pXYv7k!;$mFxMC&AGM8|2Z!T<`~Cp>rJ2`{W6T<
z#D^E#-bJOD@gZm7O8u7&CTM!7x5LMW59u4u#m7|hW65nfQQ>Z5M3i-OSDohr*2PCn
z#R#IPwJSh4+!%f;2Ad8J@?pE#gZI|%i_yI2UGbEVF<#$@mOs0fA7$FV_kFSu!L8AI
z!V5V}6!A7xq%IM_AD`$ig=#dEoapsj>%^Y_k_WXD+66F)Mk6t6F)%+nV_6>qS&yrJ
zhkg=7$FrU9xVDQUcb8Sa@?{3Zj3mYy+J(@6>vb3Xt_1RUjZ++#F)*uC-5Vk;j1F~a
zS!a$Vh}hHGrL{nZ0gH9lI*i?iXymTh5H`O~RH?harNe*VbItA<Q8fM38XlgNhUA0!
z0k30pBs;F@H?5=Ll*`;lGE)}6zC<+)d(okIr&}?I&10kQNu#aX<T13_ef78j9gZW)
zudft~!^dd*+)-ymSmhs1Tt%bfy2+M5xvdh|q9QeT*Hsxen&Y^aE*K$#tL@Lh#Y^CE
z-A=XVxe5ff=#Pw#8DW^b<yF2$3Ryc>-kfYy#qF}-hDL5WR#zD1x)w?!_)Ij?_|@@E
zb^pl+3Uo;F7gxrZ$l_ia?-17t4fI+DbEYq&V@ZSN*|Z8d7~kGn{^*h>M2|m|*ngCc
zcrIU@IHZ8lwfl7r4QS!Q&u=wc^>lRY`8s&RK?w?e)Hh!@9VqUTHZr$mKyPg6El+V3
zWNuiuo5<His;Bhlk+%%AMaq?Z6jsI9_F(rJaeXLvab%DAGQofPsqqJKHLOTTIx4ou
z0ACM~;gqN`?uVbzSfQ+rTaVNBzIbT}wXa<zJG+drQFFTYAzcF^-YJ_a*?dX&;;`9O
zX9A~nhkG75XhJdm$g!z8BRt^K`?%$YDTV~)E0=p~K}OP!c4RLd<PO6d?Ly}8d#Ypq
z+Fu*_d*eJ3O6Yi9o?@%vVF6>$BVAeRb>R3o`p$<jI=H@Q%}!@qLSMcpR@g}ww*quo
zee-m%bWnIz&>8{}&YriW^q}#hOXXAx9sRUN+>gR-knFm32iHeEJbz&M{aGR%b?**b
zOzyJ9U%vw<hS%uhmiO@GARhL)e`AT~I1*U7gg>X{g+6@5c6?9GS_-*a77Dvo0P^qD
z=5_n@(b}l~f!=KZ$MvJhhV8)PU7nd)z4}OoN_kkj9zItY`7pPzpzgh_|M63OJRgb*
z-F#CA8v8H(>;A;Tx_+COBv*Ybri!vDx)vrXll+^M?V)+j!^k^d4_q7@L#p%D(Iopu
zt!Aw~dj0maRQ=Wk-Czmdb-F4X^JN;l_Ss|UjwA`EF&+GqO8P=St_a>XemSo&dq|wG
z9Mx{u#(b~c_o)FH9CrP{vud+FHV1nLUS;Q)vekzo|K>{~aP*V+8#8;%$))_^-KmLn
zXOdG#J88%^`z%vC%fi)tyRtsYXu$77zG;oP5JDycGzSV;*pp%2_w}6`qEnBK?DXbE
z@~5-mwwqW83604AZ<i|SH71@uJIVodaxcddZWa{(u9M}ES3ziut2SMGnur?lr!`~(
z?T#-qJnkvN(k|S1`o}0?o{_bz#12>!6yMEdEsvXWRgB|G1H{_<9|C*|2n4jQ3Q8N4
zfdaL3%h>EsLR>p>?A32ONUl4$kFQJ$X=htlrCc4vryH52847k_kUXi6$|P|`y5;BI
z!e+w6H|AsT8e52W<+{}li^D-kvY{ljfw(5s93Xnp1|A3A2j)47VX>t{kX3d)(eN>&
zNV(P;m6GKQr=z0Sa_yYg()tEMvtwoSq>MFYj*svQeOiojo}sJbZ#EOYs}C~Y1zMr=
zR7K2sHZRtW8~7GveIwj{sE#B)vBbF2Wrr2^{E$&Ua>`_NCvnC~X{$ZICCq+kSf1Rv
z2qLfjl6D!hziU<YpOyd%Bx_Y@=9Kf`*TWUbvzxk!Uqe@Sno{OyGU!;Yyqz186wmPB
zhdv@8>z|&nx;ZwVcA;Id;liVWuYVVB{zKfmM8Ep%lo>K!cv`nQaw6ESx#u!%govzY
zX-k_h#oH#k7~Uujc<yOgRLuRC`2In$uW_3xG;+WHoPP6<;3|wiBq=aX#D9J&vb@y<
zm3w0S7JXeHN-wT-TA?~g$Qh5jwRo|8WPOr;2xEb;l3(X4<1tM<TJSs{Ut<hD9}ZEA
zhIzt>N)eI1I7_S&Z~0=f${44vj612knJ0=pQ*NIdo+q|t-&@&N&xBlo-KKl(^F(*;
z>6s^H92g%rE=%9YL^$6ABMG|&VoTpn;WG)G5U#rOZhb!kmg#Z#-0K&J@wB=d&V5`6
z;med)iDDqFGS6T>>mTvV?MP`x5DysN{yVooW3YX6wDyHJ2j2Rs3dB$GLTtG1px`|^
zvV~90SB`SvXo~(%kz78c9A}nnT29A}mC@eE?sH;vvcW4WQUD)9xeS(lHNtyqvH0+K
zE(9dxzpn`v!eDXivPH^9NYEeKmKes3tG*c9cv2YUzw*)!ge^rthlq500uNZqdn{dR
zM4_S7W2V|*h!fco-NP?<p*2yzB2b;3_v~nIUb75wrdT=ffFK{%nAA31jSvS<HP?HY
zmj+PiHy;m-<;Ny3FKMAZ2~@Y|mYdrefcbLq(6qcDgwLDQ2(xpR_q;E+%V&LDA7CWk
zXLHtE-0A+To-`6~G4)=B=%eoHk5rv%VazQ1dqnS_42F$1iI}SEV|XDq&$&+&ag{aW
zEmLw>Gi${6q(=|$x@awl@?x0DJs+zkr--3ymD#uwJ=|I)v9f#vyT5|I#!o@Y=sTM6
z$n&`#ib`g;?Rz1C0B1FK#X%KZG>ZCc{9X^cX5G#$qA!8uiFX3YwrWUv@wvQkSPy>0
zmc2df|2O-q&%GB}>QK2VY4wB9$3V-X(G^Ezu=7~y-d{?Zpg)LJG<vQNo#)Nog5Gj?
z`_^a8lLuOO)husy+1CKhezMzBT@{d({a1r@*Fo*7&|CWq3}GcaAl(?Kgd^YY{1-B-
z3;%U(GNI;6p=dQZ_MPo(?VDrvJb%pg3#*eq*TxvZeNckB6QPQZnf~<B9fq(rRl3{G
z&J_v=-WI3jtAS@ztVOGw5y-njdac0>c(bDY*8NpSzZ_>1zds$_Mx}YzqL|Rwq85F`
zRufxGP7CTOGQhm6#<VOjhERxN_k&Yf5HW1~h%yEebRH>R6){Cor}Wd1dTltf#^m}u
znK)-y-PCv93<EwsxAdjieOquW@_5X|Mx8DrZ>9yjKZNm{tzh$JjlkafolLxGxaoRf
z$Pz*wG8z1v^|3x-YK?R=6Hy;ZU8{?%QU6Ul^!yqFB<6it<8grr|2m1-SC?$Ti7fLp
zWkaa$&HtOZh>3!h0o$QK0`V?irA|IGgu2x!nPLkDhI%i5Z8`_+estg}CAt)o$@iQr
z_304&tgU)<9Sb9AQ*m)ROX1vkqD#Hf5Iiq?*3Ajp<G&oo&W&@1m<avM)ACCXUe3k0
z_ov$9!A|Xe*{2M#`)K<!`(kYzFmDq3wAca4Wnmsi>J9MWQ3^E`t%2mD$=jyaI^e%=
zf{ag{`q;4YpH+dCDvZ~^GZ%_-fa7r`{W|u$v&gl*q_3`k&Nu@Wf3yRl{7%2V>aUCH
zG1?xMnG|{#9)}#;?0`tI>rIv&+9=v^Kj7^b8jh&=xhd*6pw^%H#Ku_*i{2&g=au0{
zm*m-zKh5?q)%a!8pQ!=$9oC<#-u@#L4lzV!4%_3;OYWR66Ka^@pFRC?c!UT_I}x{@
zW{*b46Zrw|s$eSb-W-3Yg^>6barav)o0~^c6C*Y#qba$Bn{#t9IjMBx0!^D;|9B|e
z(pmw-OFh$nZ~Z}rY81T9c?kT{+P$>MUKTMyp^xKo2FU)CHd*OrK(?FuT4sb4T$EC`
zulzeg9(72pY>6dsH?rC`rd<MtyF|nqeaFc2I(k0S*X;0U<hXCfAu&8~d+ZhcZk&wc
zoWD}^(iZ3btzXM=Nd#^C5AI_GO^`SD+&x^>VFNe!#<pYE1R+{IdWZ;_AP?m{*U}ZW
zfzGUorYRR6#2@88JS{vyYV<x@HsELt8^v4x5+Auy{p94Vr2jbiTSaGkRh$)eJ`3MV
z@8N*5U}jfd<QQ4}*}yZr)Di|3zU|@#bHr5GnbKDgf5|j{zc)#umasa;(#_GGBJ9^?
zxr^)?C0AVRe)npV1)?}lhXv}65j<b=XvzK~r26fSf$PuAF*h{2t3GR(pj#UFa;+aG
z$8u*BzR}F_VaO?GLAsx4@Qmb`to}p#?au#X5^4sUPyc!q^L`OWTH`*7OAV3_cX|2y
zH<&_s^DOsBZwFCkTEWsy>L*L?UM!S_DUz7??#V?r6VDHZ8l7PEkyBGskBuLiASCUb
z<59z}#JQPgS~m=O$&)n(riWEbAl2K=bdUN#45mz$hpg@)bBkOKlwL7LKjHH--nNkF
z_Bd0a{iK`xuii^_fM$%k4UL%w)=5OtUZa)EJ-SJ!9+S6K=a{&7HYEARY#!Mwv%8O1
zy_+;U9K^AL#)MYsGUkWnMWl`02i16bH`%A3=g(sMRFt4gY3Ri=GW32MeJHG(q&vS#
zy~Un4{pvzJvZ0?y<G(Rxg`?f%5X0fZ@?1LRcG}vl82LhmKCEfIal41?U`;e=TF~L6
z6Z=e_yPjN3i&iVX&`VxTs@v*($p}1~pR917Yb4|2zg2&F+DBf@Jl+>jv=k=J%4UCi
zTS)phy}Nz10rH<B)fW1PJuhGEvoL7-MqYoYl+t`>kn9_;{O+q^2=~Ub4thH}$RqBl
zF|&t<NHhJ8`_r2YaGtaC*Nu@*@@DI?GQ;v=(u$VuW|hIt-~Jhz>8HBLIM-9}{l-Sf
zFB3<+dDuMi-LkV{mE|w;cff>Sh2vlHa&*6&lZhSzWIvxS<LV}5J?k3e-;9wQyjzzJ
z9oI$F*sY`L13hHp0k6z0{uAUQw+xQyHXSIh`ZAwC(?{k`S*NNSOpyf%r_(oC>fjc+
zvTe|KkQCG{G~8q`L$)eeKGnLRjaf_ElFZa0vM?lyb$!bmsnc9rzm7{AURsf9GfE@m
zl`Ra@p4tU6`FlKv$X+e<wsW0$dv=tpy4?P0rkH~&6sT|u?9{}iR@u(mN@L_cyEng2
z5?oZ9#>2&l>olSB?5g+q`f>8ZiRCBNy11!wW4jH{8#S<QbI{$K=ac00#G0h+$Gp^G
z`ivRNPXn6_uNg*`O|##nKI#34k9wm&VSlb$9Wfu9e0T)s$YLemD?d5}D5GPiJe3cr
zBev?B--`rxf48;P2fHq&v}!-rT#-~qW=Pv=Rt5)EL$%~3j)_oak?DJiUZ|n!HEZLr
zDi<}WxguC$ghs(wq~lx=yZ*-L=1@5|wNpQK^O3XS)K$;>%Pkeuuz%y3Y4Pj4R8i9z
zkLJ~ql*YLv7iNblUg$QL9=XOxu~t3`{NgA@&Gt9Q5(TOVyBIi_St&r(=zeACZkM6H
z-{(s|c1aZz3U^rcri&?BM}XGTw{lcQi_z%Sld3rLa_CAxs|aONY&c`#rbvyv5$8@}
zua9h*6;AJ@QKLGK3^j#RsEx&@{w6O~(ZyNVuM#Ovb!py=O+2qk(Vt&*ZJJeuiCC#u
zkC`N8ZNVdU*hHOT6^}SS2~fkm$kDecic(bYFM*KU84c=7esD?Muo~i+-hHV?GSu$u
zsmBAIT9oSQ|7NY(erBrpF?{h}IZ8#bnl;y>LuJ1>^k4fO4cyp*>P_DiD5scl@kPS=
zlzmz%nbn~Qj@=WjW`~ujc)8Wh#?FS+bP9izWso*(zvny8sjE_=JKuCFT`{6GX~iP-
zHo9nE?V|7`U5z@kXD?Uk7@cBz|GV_$fIcp*lKgg-p+VWIaM`HHF{wcN`ANSeOVRrD
z%t6jtO)7SWv`_%kn3}M%S8`3JBWmT1fzB9hs=HwD`4q#1nw_JyM6YE+s?Ih~m7z<C
zIUh_76*8q<@-#0Pc$?ttf7J8rZ+g_eQKRZtk4&i{cR{M<gc(wuR<5)-WI%nXTj|a(
zYDQf<nW|DXV1d6q>Xq-N4XNr!v?>ERGpc&`){52ptx;DKT=~r1i27K;p&Rhtl$yP&
zpp`0Uhc<PSnGj<-_1Wr!m<z8dC3W1>RmlU0*|#Ri{sx`0{rGF+&lY1U%IUJyibNLv
z=A1n6xsgsyDPG?A(}hVr{&HR~G0Pq&>(e4Nf6}STb;qwP38YguTXt<vzT$wAO*sbP
zZ|Rhep8-dAhynY4*N)v->j;*0*6L{Xx{99@#}-v+Q?DIQB}IO7M5>?JC*8+Jl>L6O
z{TTx4RQ=WT#8tXZSiDu;WzK#nwR(elTv>$zwY*^I=>!`maPRqiz3!v|wKG`5cXWv)
zHUCUZnpe>Yg;rA?*Dvc)Nro#+(n9$u$>G()YPF7Nh(2)DGhBy~@d%}PhmDg~ULCYG
z|2g94m?vi;p+%*SB-_u`ydpfD7v75fc0l$?j^!Q;>QuyzD-EU>#t4t?*^GW~2P7)W
z;RK~hRp03@B`8j42pt@uy|G8z(~K3pYRXg`PsSh4Fh0mmo;skYYL8&6S$~JWa#Rd|
zkbK%5Ayfr^Y*anL!rIA7%>xTk6xXNoe0kSJpw;?Zy74dYG@?rRq?-g4R(GN1<1!j@
z))d=xYz1y#SR+zjB1(Oo^fhm8qv0@dB0#Z-z>;kDY0+2#>bf>_L%5C@UX=Nl5u_bz
zj!|dkD!Hlqtn!?fc4CkfI^xt(ZHs2P3!aZ1=gB?y_J;E@#PGeaBH3ZU2Az-E7FA9B
zB^9mW)<p=5VVi(o(0(Z!Jm?fr9yjYI^Xq4Wo!V*mwm&0etD7|@O%E<E46h-t=F|q+
zKBD1?>*#gKvsTDf73vgy`<@6es!m`Wqv4{@%ck><mM}3D{}^D_NgU%5X88otV0|rN
zic{YbzFM^vg**eqL||O%&6PBqs6P1MX@Ui=TYnl^=o}?v7Ok%s@}ME3=5QXZ&m4mS
zuWAR}CkYkNiTp#GY4CpCD}U4596={}Osjln3Bx_BrfL&tcppCDJXLCjx;11Kr{q6k
zk<(ziRtXK#*BoWrZP`A4^mlB-a!w5C<hXcAiJ>~|Yr4uCwvWe0-1Zsd!bJ5KUA{Om
zcm#+lWw3L|zEX$R{&74gwlZ@2$}NtwXEfLQRGMJ9q4%7L;3Dw6UA)~iO&r-*)K0tl
znLx8>&fxA@K2(_1@jmd90OzKc`B(lL0|8<`7K;fWb63vKLRCo^AaC223&v2DaDCy)
z&U;m3!BQOpOHk}wuik5Fj7f%9>p#84*sw>$v|zCmj#%lo9%Oq4N7aY0brr%8d}8^k
zl<k!{Z<0oLTw>zsFXu>)!=jLz_%H5BkPOl*mEuj<9>X~O@NHQ-4NL^C6@4v>B>$b2
z{^CqXJ}#DWND_mK^J`!KrSgb6-B)+?I|JGdHHpv8iep?x>nAs<04i8d)c+|1RZ0RA
zDc2?NI>PCiWv~+7S!s8^yu`q7rs-<?LP^jP&YTKYP{A*;+`;3q44BTl{rc6t1gDcW
zjWp9#;Xiq}t~`Q)vV+RD3GBXU0oPSrCDc%O<D2sBXa;gmtqUEBl|i8HiJ}EHbxcjH
zo7#}fKy<y)k=%Y+G;4b8C+#$lzGIsT3K`IFi8|P`Qy%{V009606qt8B*54b(t?a$`
z-VYv+nfbXMWK}9fOUMjS$%s;vlu{bL2`xk^5m6{Tp9U!^q=+)gN|e3n=lAb<-LLby
z&V9~(z3=;+m3ck(#ZL`3-#Bho{h?tj^mJm(vMhKUr_?4dsiV;3=N_xo2Jp#P&MnN7
z$Kd{&8-leOaGi^^Uwy>@fttdvuTvF~D6aC`eO?o;cDY8J+=kc^AE}xys)XaG5AWlp
zXv608&$OO2L&%s^CwVa`!(L)q;kYXWap&S*l$jbqWD|>x!k98PiiyPv2J675`ZGV@
zgb_IBc-!N8RZ#8{)T0ut3*k|r`Jq~4Fs=q6qg53{MmPFBo%OI3<*_EK)C9MVyg$hD
zMh!PQ#R^)Pskr*lmGyj?DMGF-zj#rk4k<-P;fPaIkmqA&Xzx}d?uF{4-x&>jkoeZ%
z-%Le@$Hd~-zh+=qKiw+jrisftuJ3!<PQ~`!gA1jK7Rc(;Y-r}vLXIkVO)ry*gLP(u
zjqa9M_Gd0VmaBy#9@qa;c&S)=_o;X5Su3n=tm|-))5f0Lk!v&b^$>L?<;knZ)~GvH
zncEz$jn1h<T;80zuv*`~ZEX{Q$hVmR=Wl7F=T81)Xa)trRadhLgMi6<7o5g(wb7!W
zHeWWZg#g7%!>c-gZFwQ@OAl)!>uq_tB)=v)<Lqy=n$b~bw<hI>hBkO^-Y<E;qmKRw
zg*^g^bPOuaUYRe@!Uk53HgZx0{r)vO6DsHsNQfP&W7ER0)YSFbHYLR7UGf_JLdO<Q
z*CBgLO;GkI<QAkTAjtFAPNr@;+&5Jm^>EXGdd%HZDQPnJ!p?R~>@yvKsgDiQ-P9p;
zYpu0qrv$j&_%5lh?7yelu;QDI8cq)dR_}=s#iti{jwPR^gXTxytf-=jH@g*&ZrU#d
zQ-<SbauXd^K|fWL7L}o||K=So@L{@TCUpbf%K8Ca8RJh%XdiE>(_`hrD=*WSD<sfC
zf0U&BKoS4y*QT}^uEJr~jgHSk0Sgu5t%9-&@a+sg=qJH~P|6FwTjBsqlZIyAxGb!9
z7u@Q${zvHiNYB3;L*QD);-f=9rSZkX=N&bAfjD-!{Vx5LHFC$Lo;?_sM5=LvLQwfE
zK_B#X6ymkUXF1j9G!+T>9L{#kYn>);1}+rjxmh9m?%2kjC^2|ld!_QSdWv|L!)>XV
zZ3*VYbpyqJM6lJM;F^>36p_eT^J)KI3)E@X@HL(h#@_dSEz>?z#P;HAgaq9JQ&p>Z
z+nt3FYxXg4baaZi@FDlV<5$d)qhNjZudX0|D$+d~x~B=p!ySuLEARHw--o@A{rQpC
z_<Sr(d6ua6{rfL-y&1HoBAj<V<b`@wlW_ChIihgvW`1(<YN&6r(9c`V1M2R=kBp!N
z;>@$Of)8S=5q+VvW&Hvd1nC>%PVHJEJg8fx_s5&Ub<030{}d-!uB5ywJ^GKx+NAJ#
z|6dc3{u?^0lsRE6q{!RV%Y+$@8=RkfOz^I0s>C&c1Ca;*`Gv@{pf=t{G_&0p%m1cx
zg!wt(cGRfzV+bpvW%9@B-Hkzf{KR&&mK_&=^4&W6o(*fA7G1+zjj-=URdm2zb_74u
znK@|34xycz=~*5|FkjNk8!cgno30p-N;3y^x-$!R_8a1k%#F4yJ?u#EkvZvqhzotC
z#B@W1A%fx}hO|sLu&vFhGSrL*#a-TXAx=YFugv-0Si}ME$nfSW2|nCk&~0<QWq=9k
zJ24z<IkC6&M+CpP06gcMt7@za@VZk@{2DhGPJZ}(qa;fZU(U(07If2K)Dl%uIKqV-
z<%p*T7(x(iF-UYwra`ZN?}gk+Zv5x7Hv8|4Fv6F9UtKn(fjaQH-awIerEYvGy6r`A
zzw(EP$%sCr*L3D>IKYRQpVREjMPgt#xM>+$ppWF2cJVsD`0?$T;74w%1OhDw7EMC+
z;cg_=b=6J~%G1&P_v<B*e=3TJFw@83?y6(4T0(f=WFc|rq%<aW*^I5_*GD)Tv!aBm
zFvb?-8LhiyacXXfc5=n%xZJ#y+>AwF8M*2Gn43Hr7UgbkDx%_w$)-A4Pf?`&X%%xc
zRfOW@_l_G^{BH~M{jBvj#jx@9&4%U8N~jJ#H=>YD#g2g`O39o!VsCY`{)tzH*|81k
z4{E4b^KAIVP^ctK&${o5sa8RmUC*1VtMozXwc78yC<XH5SWgV68pL$mSErln<H7ZM
zL4!OQ{HyComGxE!dv0^m!xQ?jrLs3I2g)J)u!BeS3k}@etz_N$LmxU$4mv+<6>yR%
zo}bjxLTgf|CCd&PZVs+`doxQB!_#4YL6^0WUi!vW{5K6eZ5M1m+*Cr}mjuUWvlKYR
zcYk@4Zh$r&fj?D+$~e){731xyi>D<g+z#$GL_)6D2X0aY;i1OQGSc;6t}v`K;%J16
zyL;b1{-TPgT@xDHo>L+CqEgAp#Tak@&WtP#tKn{Z*~#)<`gpcXE4#Me1Yd}xBCln2
z1h$3T+4n*pi{|%;7Y|H96|df&vq}^CQo0=uY&0}SG9u+z%rN^Oh6filk<xX9IYN;J
zr7J$N@q5g%E3fuJ$9FBPN#ywWOOS@`+)O(p+AR=dtt`-&t&P&Gg`OWx`p7Q`_DglK
z!iVE#GYK{n{4f#y?YUcj#TUQB`<XS0UeCp5S5lzNeJfSz7!~3Q<DB`t!1M3tPx7+p
z;NIKVPTNjhaFD{DCmsMQwg0BxN$B8dVxwy05Cs=GhWHjN=!guL=8s*;qog|jspL{E
zd<l>ioqI$_$Ri^9bS?$5TUGadb=1H?@1#Q!!Zxtkvbonqnu00jYolLZs3JVQ=~BL%
z4Sp_8NichB<IM%BqGJZiko92qQi!ub<J5fHp%^V}H~yKlVV45_c>5`rC)<GSM{i5d
z-j%!&^rvyD(m2!A<G5udzUS#%?@e?KB)%J%&yo<w?M1Wb${jY4;xB*fzPxfT<=c-h
zatWi3w^vzN%?8?rA8x1KSH<}Wu~+8(ym;A{9Qv<|j?jh<jkOz9a4u^?DB~eJu3o4z
zD?3kze0KdLF`<Oyna`!?4=^KGXF1E)h>r4G@ZFxN2%9`VMGwn)qSVz-py?A(I`6vP
z=s$U=cfIaucA6l1Bhn@|?gKWS?QvEWl*Pl8Uy6sx-^3OT59L};pl~xNZ|+MWZ76Wn
z$gQ75|7*@mn`{Z>R=x1b-z$Mii?m?f`yGU(z+jbHlr`es>IpO4#Nc`UO7*2xEkte(
z=jI#tt?>Pa(ZPy6BKSH#)zatkk@#>*J*27E67#3$0%Y@rV06)t-E*v-@N^ip4_CIt
zVTJnI^L&C(uVg=wHrPNY=zIAL`B`8*$$uZSB_Gb1QzCEPZ6p@i#VKKh=2)F0La)Bh
z4cW?Vwbx8qh{}H%k$iJzINottbAJFQ>?>qd0~*_iq4?8cq_Y`ZEl+8^3S>v1SJ`5o
zX(zGksgCZx?A7Rv|J0*+pAAL&UB|lQeh?>wuC**In&RX8rl=njR`l!?yujqqM^GQi
zKeXLtiY{u=V0a%hC|PlJ3w49UrrY1<RbHAvL++?V@FynJCh(g4**Q$SP!NtdOfkWg
z*M}16KmQR$w4>r5I7W%ws*of~hB5wbC=ZG|v`jFqKQBByI!5eJts9o)F^1vo%(&BD
zOGNv<t%~u#CWuzPz3e&(M)2iUYE`(jNZ8kW&8{1tB6w_nFK=8h#DwpW`!Bf{iPc&$
z+5P;pMBnaxKciy|(H2sY`RMfm;St%uRfT!t=uW*SX$uB0{H5GB{d9qNd%5UI&Dlj_
z$3C~qHxmqCS+riyWn_WiRW|XJo?IsGF-F_dcnq-qq;H|2`y#<OC-X>!!Gx+w=H$o>
z8v4s0W`CMoB(f}&&F`-CIeR=yt~*d@5d5{tpS^C0xE}MhbaN6b7FV+ui?8@iS+A_4
z^T%c4Q-yW5DE}%vd7YO%xkDezWlOW3tC)}|cCMShbcL(;HRYzpsF>!kC^%Qmgegx;
z(`%8O2+`a3<gy7BC%Z#3zg}R5(nOp4dJk^gvAZfGlc)#IQT|G!cow|;@a)S_5HI5O
z#h%Qx>*7bqw&u1JR-BJNd@nMG9}ZseVh=5J5&erMW?#Vu07gK$zmvs>gvd!jsLXQM
z{L0q>ZNr(%bT)RJdZ&4(yjcjzQkQx|<aBU%X!6{ra1Ml-?o&BnDT1mPU8?pi3i@`2
z)7P+b;Y78}@w=}@kt&p1WUo&_(V+fUxfk5fxT3tPK2#iqS$lb9KWbxXuQZSRiqVzJ
zN`6~wE(r)Hy;*Zq8}+S9HD(q3_}a8a{(_D)9`~oU7ZBR;RIN#Kh!aFiZJS7^y(}K9
z$?BaD)5f}QHz#!}gz)dR`39VoU#ZuV7x%Jg!&M+`Xg~joKD%n(k~l?h2!y`~;nGIN
zfX=Ow1W|~b{}HC&paemSktYkf+VFcj_bysQ9P2Xm_Bqm2aM>eNUMxZzFL^i0D%VKh
z&CN&Y8HK8V@ew1#Zf&TK9Bg@)E(INRvpha4b!4a=|Lht~L9uJn9`zI%oWEILoZYPf
zpSH-jL2Df}{_U~bkt2s-ncrNRX<Bey$Z&dVsS8KGzPWc_6|k{-E`oJ41x?9GLM+jG
zXxzckx?fTW$BYeDcZuubSjTPl^a(0rf;Kezxhlh5U3F)0s~!Z7ISPn;(+5wG`QqiP
zDmcGxs8e8#K4kcNiy!sUV0~<p;I9Eyocw7PASy(Ifv~8votPnBjxN{QS*k<3Po6NT
zqv7_`d(MVoM!4F0+u!$s26S`oCH~!Q0H^d1qwar<k>BCCx$(OugtG>%L_Ql}KKzL3
z;Y+6IygP3HS5_NaW_F(4Bx#76cj-P$Tg+fOdbwJ84F!i91OEO|HpFo8x}RrsEl^${
zyC}9^2ftdf8}ddB5bI=|Br9ZvqH8;L>QZ#!%qlH??VtgSuUhc08Mns!`HihoUv#0y
zle6UXhz7om#EnsJpzEPP_{lYTD6BiPtXixOhSw`ak=1n6z903g4c9}+Z{L<T9eTL+
zukp(KG#yIW?@uLc*TY^eHusoG3a<F?<55nxf!6IeOe(XwI9$-wr1M%6>8qYgJruFU
z>s9t?k{fk#D%$kOrC>D#Y+<zb2ic-H$te1zzYYS`ipmL2Wn3uQzs4oQ7RG;>Rb)ZI
zr`G;A5z%sZ%;Z&hIoB2jYcuDy2el9qc-}(LS^~1CuH<W_*y7TV#9F64ni#uPYpb0i
z1mmb&kLO!$k$Ji_D6n1~nKj*Y*0Y?r(A>bt<FUm7`#0Nn$f}|4J7aHx2@`Bs-#58D
zutDtia4{!;6_|uIT~#j{Bc7yL34Wp5Aoycy7QI*rw>g@o>%6}Zt%<R+&)(C~>oFBP
z!>ovx{BJDl)EgPbJzAZNEp)`4bRTqiBMbK@uSdLR`WXS`fg_*40xt}ICmNMXL3LvN
zi~!ddqhzxi!^jJmRY)C(t`|oy`+rkoOOuSBckON38wj{g)Q_H!5XBkq>c-ie8AfA8
z2Cra`HL~{HEH1t(gyth^3TftZj5kTUcQ`FtVdiGn7So&jFm#gFy!vmBVPiuT)>N><
zZR*kU64Bg9m{6>#QJrTroCy8e<z$I_t@+L2<?OiLU+`$6WsX7AT<6<)!~)gFihh~6
zvEtE7yZ%hWImUX)yl?K0%^`hj?I-(<Oh{@x@H>6iETi#3L_ze78TJeb2{DKTLeVDe
z8FTOqV=g(9vXwAH-e_b=Q_M7x(LcGLIb@n4C+1yt?%Zlj#na@1FizaOp&EZ9Y>E-;
zc&Fn@k12TNf}|?BM+lQWej|sDO)^UL_TG%KFh#(?p}ljF{lrW6cTr(^6O4(f+Be5C
zP0%(Kd;j#^Zo*7SiO}vJXFLjz(T!g=Mgg~H*>{mvVoP}E$D3=$8IN@m-OK`4=Ca=7
zy7_z!M4y?O=)u}ChHp<y$$=Ilh~Bu6S^w_|!LM@6X+!WBqjj*Oa(aysQg}{T@J3u>
zn9Dp})-xDm2nIT_U3+SX(^?;dQyiW%%+GG8rpu2pw4bB|nHwA8DzA{l6UIA6F8}-B
zH`Fo4dUKk6aj609PXta&6*V)SiqAH5`;RfqPaCy&7#hIY`{~!VE3J%BH!iPLFUA;q
zcR#4RT|vY2PX(Di+Bb&d$qB~;^l?W0bA!iYSn;1=`Ev)IyBUn`F#gnmaR%+zH`WIY
z`lw~`8u%RagV8@fJ-|^m!KhbAy8UXWKHiJAIGDuuGCViwDmC4iWc<tU6LtPZh0mU@
zE!<c78GXZdZA@QJF?g=XZAs#wf@#iK+2+w8BjR(+g8}XthSZdYj+&VsZmu2D-P1M1
zc+YKbFc&w=P+{%eE_Of{%>p-mGL%Lbw~LR7PAbeZ;u1bouPxTW8NskhpM<{*@&NtQ
z*NFwj`iuEeuO}#AVH#vAVi{vR(lA-nSz2NYBr7o=x27PliuQi@j&TNWgzvRQ1txNc
zeVFr7sy6hrjyHzXPcVjrKDUK>Gn0BMdX_u`TIlvSE<Ce+iZNo^I&ktO3z-@|+AFw5
z3#ps7KfKF1!)RF*tZLxIM$S5Je%w-^3FALO#RK1F8PaDw)gRBSB7I}?gEPc5u_>-A
zwXl7jkrR0W51Tkh&$zy!^3xi4z*dodk9~<DCFxio*TF>|EgX={VAa5@N)zut{{I+j
zE!`$}N%E3nf_d9NB&kC&qF8-$nTb68%E8O{JU_YIAjixqqK<ufztt>)S;$k-L{9%L
zK{CWHyoR?x4VG4CET(5zNvk_wdbi06lYRlbK4VU5sHFJ|oWH+{>@N$c^M58niYH(E
z@9(rKjtf~B7oO%Ivy966wGzchyM?gZ$t9|gBfr*JT;?K`UO(N?9VJ0>-r10N@vtgP
z3$J7ce&ive1tX7qN|z!p+V;FL*{X^NH-GAXbbd0Zzs12}NQRV=;&m2xP{q{C0Ds+R
zLGs~!^7-}y^5k*ljIgyXsu=YdpD-N}BAM>g@eHRcl3Y)!Q;zRf#RgvQ4Cj*~WRyS6
zg+)}EWPcV?##5?_7nRS2D(PaRkNDx?+YeO8v-|Qxhb7b?X_<4jR8@lf#p06m+fR)w
zJNU=;&mA?)9~mQ*^rc9@Eh005W*Ve!{pi>HJ?hxHw!Y|?zYG~L`F4$(rWQF{;oBau
zTLXL@7gDop<j7#>;^|^N3b`kUBOoMG6FjQf9;TX#B&Bz@+txvsd=mGzLS==cN!hv4
z4#$;9fsb+JoWWEw>fp1n;J*}1T$bH);;%Ak8lZ7PsaBsX_3USmvU+It<2LXMRV8Z}
z?wnH}X{6?TZ@v$1`nc=BmnlEHqI>MWwIy#2$Qj94vnP!-9G!k;AAClGy!Y;?H{-4$
zNzwjOYY=aU@FP`vo8`2~ko6DeC%uixn-}<3E%_K@#Kk95@vb&$keZSu+Gj*=jo%pc
zIKmW~(=!oXiaKP}DuL&BG>l2t-u_>v56lotb8wQ6)g|xjukbaIH74C2Kjl<svP5cb
z$*q99dgQtr93t;3j7V87iNq-nYjm%zT{nB3N*ePnIG>*}Bqd)BuCCn*ybTGss-U4y
zwrxqQw`(&XAO6SJT)&@=ukUUom~7Q2tD?^Z8ttZ$=DtUt(Zg)8ZF>ci(@uRdxrI7(
z+?q=M3;gBzdyOrkq|Zg!()7v7z;bhLXA0Tpm!tpkuPvB&@?ShsN+rMTBBy@~X^@qB
z?UKI**nw>(R$S!19+|E4Hu+bLGC4<WHtR01!>Pj$^2WF5lKEjd*@NnG<j(pN+`p^r
zP-<^uG5eH4X1ad3m|-JEx^68GUcO<6%o}$%%l*+J8}D66JZ!*AW-6*hN$#?Px}5WM
zr+E!BEoikoH}Q|*#MkRWTe5|?hM|Y~Up2D*U2fL%vY(9grrmQcr)<F~?b>#uU4^{L
zdaPB{po_2+Uz%!Uu|>aE>aLhNB~mbFX;^S%ig<Q9)SM~G2975;K0A9-fn?@YaNoY4
z3H`Cd4qbh8__l~>ROQH!)B6vZ$0W01+uP<LiaQ;Gmo_BvOiGXz_n(_a#c}|#vr-9f
z0Y#H<XPgp5$uXqbS;caJU-sF|X*%$Z^3HnEMTn%hdXer=xj~yf-r|3h0DD#D)L1ny
zx%=0Ha|eTYV6W(H-f+?yc{k2_cJAgNkFZT{AAZ0C?sZcG+cK;$`Dw?QPbXQ(D?1`j
zbmj42lx43;L4_rf$J*4G9TpjzeDjnF_wvA8oGL2u(*ijM?>DshPcm}s*xj=vc%UH}
zVftOd0$dRnFWVIkG5*>~k6nGjji}nDJydsdDC&}FmBQZ`<*~L`2Dft~{@$(EPS?$F
zOJ&jSXlFU&zjR~1_nh3|7C8|WGrSsl%q0u6Denm{3t=|71};3dJUXXnyBfpVZx5!%
zbQ6cgrAJ>Ca6#d_L|El5Q}Cp`oTA?!Bsj8s?oso(z!~JB+stN)os4tgmVBcGOAY((
z!q;5T?0UXOV4n%Nj(@Jda&Us!x#md6Lk@1tRHgcAb{S*o&dK`J^l2j8p+HIQ05=r9
zgtPm$7$ZF8!k3YxIpS>l<e^X&9vEHgv{q;|0$W&NdyvZ_u~3qH=;t#YeDV>?db-gF
z*Q}QWU(78N#SK|c^Rs#JzLnx$^u-Ws&Apua-ZEiV#_=PaC4BI_wBzy2ZbST>U7g_|
z!U9E(Va=L9{HS}0(A(n%_@n(^v}6}628FYIJ9Gq5qIs?Q{b>W#mQVjV@_-Gs%w>Uc
z^MdH#$+euJYJmOe_dmU2XUFqFi*dGYA%ywXM_Sd=py@x%6&T8aWv}#>Q(eN)C}F?2
z5K4pYF8AZoeVpKP5!g{SCxXq*2Em%LG;IDQaV~V_{61ASW<^vny!P?V*KX3sE`?2_
zO=7$lot$(iI4+LCxnH;9&gnykS|ODEnGZ9)9yfX>Bydiwx%<&3eGFagZI>?-Kt$Q4
zCl?Z>u=H}|eT=+5PHjq?v1}K_otFxWoyIaa^|eQv_KS*3p<X+BhlTL)30Rvr<<OjT
z!eP9Cit^fpbqOLO@Yt15NnMsl&YyD<E(ugTm$`l*c7rHJzw_7_pH+l;<N=%f161(l
zNlQuPh++GvvT5aAB|N_MxbI#Z6<T6Zf8uy0P(a&VZQrU4;Sw7^kGoWSd^o^+DOD0X
z<*Z5t#Z_@RW@{(c6czS6oLMF*(hzo7{i4cug*T*xZ=Rt()ZKE{b@#~NS2`(c@?0HB
zy@5@K67=z(!9G^85;=HEG``AI)<m(I$=CTleJKAOzy9#50_4JXjVz~VL7YCfN7I)E
zkDwaKq<TecTg=_OVOATHGMTXh^E8~#8WDWkqJ;22HOV@jI_T`(@7Z5u0JiNRDNg;$
z=+Ce<`Se&9xmn+84y^FPb2diy{E`Yj_~m^NpVNa0CFcTtzY!u;1_FXs_?f0~V%maF
zAI;0LPppm_qtJ#sZG@^0KF8B64^Qdi_ny9V>jD!*#faDMvC#nA)cKN{72T1(<t`uo
zm?AU7=xUggCQdmFU)`)kL&OmFPdJ-ld2{!_F>5Udn!2Q3G@_yF>-P$Q3UjE*P-q8N
z`1!kGNBk9O8rmh-MRe*}!d#KUYtx|(o7qZ6_s5m~(kI0GdcGB+TGz3*L{Pw7M$c+<
z)d$xl&tCyz1f1oPVl;nJknX~J>3|~@{=EHfJy!$k<ewTCD(PUGVwhv<d0l)}WJy$L
z1(vmUo}p88P!;{5=GF-c%1UO-jeY1i^??7&`hOJUZCm42V5)_Y-LbllKGX42*x1GR
zIt6KE&(F?Ot78*$?V5LbHsEyXH>_i);9I3jKn_I}^|HI)Er-}3I<A3ILTJOG!(jaT
ze@a-lJE((p&Ia?B!fH&`Yr%M<dt#lUJWlVBE;@bL263KSPj(q=;?>qz-7VXsAT#e+
zY?NSw!7!JtY|I)s<ntkF)rct894Iu>+-`$_k*s~5kJZq;*<StVm>}wQ9KQTo-UhB|
z<lbw$RKfY`+nwodZkWe}(ax>tmrAGH=2%t+lbhC8#|}2wu6ffn5Ko6*^p-EyH<Td5
zo-Cl0^^Z6aJW=yUg^thpQhzz@6fxP%xS;AbL)bjh4cqbpNOt|AvTyMJ{~=2{BF{&O
zbFrzdTXzChtiosA{bf*Ss}=BI;{YKXqBNO2Kp;>~6Svu<AlcKzReY|CNZHGtv>-ts
z@s5xCv3KGaFWV34#TG)(NxV_O*&0*qHu`5OMG>E-&$c1BfjAIXyv6L86%H6|=au;+
z43^%K?<q<(#8&R<+5IcrF=zIA87U!zvfjwwP2(?#Ql^W^uG1E19sT9U&MN?;fSthy
z+FujZY%)5=W)>*bCEPeIc#%t7j~`liOX&DZx)TZJcxfQO8&|=Fb#~FB;~yId-ZP4k
zQ6J1;TYHw@F`fhIa+k_duYM-}2LJ&7{|uLRIF)Z0$8E>nBYV%|oa3BhkM}-CX^2Fr
zP^oN%P$<cYk|-oaMk$pNvMTRuhwN2EW=4LpW##A3=Xvhyxt{B}zW4q8eneBQ)-}oK
z0b60_#Kc`@u+184^OG1raBhZc(pPmsYu)Eo)(=L=_`ZqjP8mj${hIb3?bZRs)8bsH
zD+9c-4lbMS9z*=Kj4}}|9Z<qQ+<Kx$4>LXeY>43`g4sJ;V`<vJdFFjciwqrTOg2^3
z*UlhHDi!&KOxjSAoOtO-+&?5)>}1Tc`y4{>7Uf#=(}Jr_pS+7Swh@Ah#}fge1w^#_
zFwJ*@3XL;<)-6(7$n(BF4k5-RgsDER8|OfUf_Rpro+mbu6XDcP7wA?H{*W<=yj}{#
zmhXKb`E3Kam47?flxGcLPCjf(v!g)kS%xUxlnq4B-ZMFqyp9w`?6<7#BSVv${>hGe
z8_1(4Z~fRVZX!~QeH2wEGN_%m=BudMK&<!VeM_j@MojQQJf2gUK(J(_gs5&J(`<j&
zho$J?9xci#Hc%7H?+1lh)@>qFuZ<ryd((p>x2i`BP7_+CuU!{N+Coqxh}Z9AfO-ST
zR^JQ~Y>~=Mk0x&;6QR;1K`SOWbzDQ)PL~8U-mD*_#(&6`bGq{7NoH7mp4OlEh6sVn
zc{x;3I>;^^j((BB3P-yWwtMFZutpP;RQ^Q=<&-z}x>wmCpO;ks#fShM;WsVMw$a0h
zZj$lD6%G(?kw|NPpaB*!<Bj4y4DiHg<oSy%E|@VlZ*o||gJ{MB_MX3t@a57xU(q@b
zSPflj7IwtLwQnTE+K?HThGWL{O!z?1iC?9pLmdh)zGY0xVu7Ajx(DVt{D5{`r%BtW
zLleojXi5zSH*?I*&dUjcYr>P2^FP(#ObicWZ$BH%PCxG9t`>qm9utH1U^QTE%ef?7
z%mEF*>D=ohMS$Eah)pT()=TVLsx0RM)&}3ptloP-$s;2=bW{~wzS3I^&hdcw*=I>Q
z*TrFUPx{5;LRF}229I;<d~ma^y*aK_5<2yH{Wu<}g7=>Vfs4WX@a^FVja6<L@a2mo
zUrbenK_#<e#=iuhCeo_-r@bs(rEU-mi&dekp=Q(HM+okGf1Wc~E(c!@c04&cuL=js
zgl7}PL;$<+Ii*EY0WA9p&WavU1D}`lvAq+ba3#v6bR1QL=St(azyURgwc0c%b%}vt
z%vaA4XJrsj^=SB>qz)v3@2;$467Xflj;mc*6;?-G%Vi?)aDl#!Lr_Q>bO<{itG=nh
zuyew_fHxWtefuFJf3Xa_=KCWPos9>}qeUE|B1A|%cr<KwRu*E<?hiigMF5A!5{bz3
zB)A>=xs*te2bQdnZVh1)%!^+6-f&J6D${Lne31%3YuLUm_?rZ|KFhH-cgQeS6Sjm7
zD8j*95n61%CIrV@^b7u=z?*k>miKBYgLLthg}5CVTK1{zjkMDOuY4z`tG87kX-eZ#
z%r`O^{%0K`zoHFDPEY$>*Y3a8t;SOb6vz<Upz@dKLi@b4uPU25R5cv6>NrG!Q`gDC
z<q7(5NB$ntEQ5#Nn%aZrcnSy)#&_oj8^Tih_8L8(2K;#V?P69v874;fPK~%2gG(j*
z8-aEW;BdUsE4GIW*%t>6O2`Ayh5YGZw<EynTvhRaf+qCl)vlW`(SSa|FTy9402d9g
z!5>3Jun!~#%(l|NgY%2+b`k;PpVkZ?X4Zhv+4!A}5EBqOGQ6Q=K>!z8dBSp^D$FP9
z;s=>c;UiB#fM1~oG&_IPN(oc~-@N@eA$L<?ip=N^>BGZxP>lRH26^aOIcpg5%oKiI
zdiJN_vpSRpP3NiTOM|)2f+wZi6dslg(KUIi0m9ifr&A*eEs^Dq>|dEe8}DMV(4q<i
zzEreJXyJz!$3m9^ubG1I9PhazJ7wUKjpI_7X9u=4zUDtvQ<zxBQ+sk0f!z(;$ap~y
ztyO;$&wV$6h4FGkYEm9>TilzZlqKYSsP9?rOD5p+2<NY&DhF84i|-2I{YVH5#OZC)
zKxb!aTFXxc1f>ofF%)e@19`1ahuoxrZ>!lgq5G1cYisJg{caNN{`@>qhnWT}ES$6L
z7sTLe@|R@h-wP<G@PVeEF#xK$27zX-A`rQqn*Qg&D!ON^nVG^3;7hc468=~aM91QO
z)tIiMew01xWq1VEJmqhkXXb}h9#hvO@lEtb-j6XkGh^^9m{0CL$O8<lCj{zwx6m3!
zZ|@7|jNqsH$r<uGJ3KE<bay+kg$CG^SJvD%1VZv*+6x|5sQ-p9HJ9H)c?vjmh!qAv
zZ8Cbh_ckMhybZhTlC+816=`A@7W5%ZKw@>nnGUWVo&MX^yn&`oF2&<W`f&aA#IHfc
zO(a*b_i^CpI?7@BV&`>$9^mA@4m2ySA|-OInQOoQqAsHQ1xBlM;q1L74Z6|=WWQid
zTk6^xD$tto8w7RX@TbVP70JI5{pqEib>21f)JCeOi<b`Q%>CVQ%N<Ah`CrX7z$$87
zsx!Xcs0~d~yoIxDgUBJb^zCDJSI{%OL)YKnwSl+0S*M)XiFnM%4=ZdgqgK_*L%K;?
zz$7WsO_8iZ=1K*gTHIYmt#g*nIn!wY-Fa?N|1~W%akTt)oB1+2-1kds*@p_~GqZg4
z?n>04WnUz_(lR=4_;)`xL4mzs`=9!O78J32b-#tMj1qd4u4gz=z*>_l-FdAW-9AG6
zmUCuzf8TP0=KvXaf=#PlH}#|P#~#<Oe_Tcb!X1*?9LOM-di}7!<S@FI`iO?mR#2~3
zUyU4xHNo#iPGEDvC`x}zOoMS@1*LB^d2Z#V3ER^AD5LrWdZ%W*nC<H-`U?Mc<LeR$
z#<aO(dr~IRP5h3RQ`Z{mu;`sq8%~0X8^sdDf758h(R4V6TSudE#a2~>ND$Ize*c8W
zEb1DQ`R|9<1{%Zg{pC+PB6z&4y(lq0hxS)}B>rRALUl~q%N1e>a7R&K@=y6Z8uHDe
z+NWh3rI<~viB)NUwXH+UFWyD8hvK~9)V700%k!nx(rLh9HGB58;3c$}6t`u>LXSOl
zOg^fy4-av52{DRW%jg}^<80Ap44Cbf?kCUPdEQmknG%t@irQX8Vpg9qV(xb)Idi7e
zKz@yW-N^PY%3sJ&v{GZnuJE`RGn=VFo$|+yJjw>z#eXI2Ssx2#Pl`?J$yJ3qx70&N
z47Sjl6V%vq1vrfNcX^j5pDLWzxP|Uq`iHui&=l;-*s<16LKQlZD!@ROoa*99hqcR~
z-kD3B7_mnpuWm;f3dCpcB~{R4`cDF;nq7FX#*f#&)<h~paiN5gp9&*3MNhJG;^4#l
z2OAu5g31sl%$+Pz#)Qov3AQI9`LR~E!#k;Om0)UlU1!>h1$!107$hSrh%t3++ZWj>
zf%|}GgzEtu*3+gglQ}MgWlL=B>0?&{v#KlVXKmTBYxH^3KRQG(*Kg^;9c_w$@2hR>
zi|52ft8Ey@fA7K6&9)9U<tjp^K!oJZHa8}sa5J@7O9DH+|3i$;eMNZ56YjXDix=Da
z6dNE@D20)|T}b}Pia^mL^(~t7V_r|VGuq$FVCroKtJOt{fZ7?0)qNMh_NGj}<x!Hu
zg#A0Gy%rRK;9{OtnjnPTce?fIXo);l-ey{||ELn2%(uP&#Y+Tp+f25Ka#qBSUsAC7
zHKYW7h&)IBr9D`pDI!{=s*K6YpW28`Q-+Qk2g+ZhiDTDiCOy8esbVj<);LIaRp1<a
z<*}WU#I6kaGHdUsVa@#8Ek2d10H01ACu_-I$t6CI<C!$DPp)HWN3_*JY%o#!RkSQ7
zq0$*6&QHYLU0TmBZQ;RBDefiHj2zZZ=dMy7Pr_pOtMY}!h;ZMhZn@M!0qZx=&5w)I
z#1x*g#F3jw5YrlZh;={_qx}&qRtY9!e>3)d*r!W|OM|YD+D|KEK^cLT36>Ph{_A=i
z&o>G*k1%PRA6LQhJ3qZSvq{0Oy4vG~UuuD5<z;o>Giq2u?4v&iuTU|m!#V5>&vf9q
za$5&~lRB32_Py|UF%{Fg!5p?-qX+*LoRj7d*1*Kh{HiH^NyQ{AzUG|TG5|tjLK{_=
zfcZaDk9oJBiaj!C+?Qiy3^Wf-9+CnP1KH|x;rA&RHK^|2eSLs~Pmi>kv=Xrn-GBzV
z2r`DH=KT`eM}x{>M;*K{2@93Jku)WviOqPcaIff@K(g5mN0>MX^LA?S{QHN1G3#|W
zq_dd<sf{C%Hbca+)toghk=3!ntP0WFZ%rW}Wr|mBFA=*L@+<5dSsCN?>b$xwZw8kS
zo^`1_Ou%Mibhbvs<uN+e@mqdwW?<hV_+g1d1KY7EW4TP0!fLPjk0e|-1DDjdlDRSJ
z*fK)5XEj|IyDJjZRN!g`_^<V*^&P6%u`L_i%6T44ByK8%U&9R2sV1w&E6P|qSNzOt
zRYvU1LGRYJZd1rv>{nl;Q^HWm^Y2(37Es44v29;nOkveJA##*n0i$F3cvYGjfXwx|
z=!Q<406A{qPb#AvhH;2EDIT9i<c8W!IL?^>IGiOl^2lIvV(x<`)OEzsKvD6?HyVii
zGU#(~kiaU-J*@{C=%C3&ZiLB_24?b7uF8#~*qWV!-$*ATC~st){#vu^*A9zAE8arb
z+Qr1$YjeyXnoEgwGX`iG{%7*qiXT&5Fi4F!zzP>lsfJA<2wZ+}w_a$38w)mN>#gO(
z0md+td^gG%IClp7{Il4wLkm&tPVP9U?EaVLl4b-N845yI2AMEsp7y2!9~}Jskg*|O
zVF<l<^ZMT1qr*6Ewv#JpxZOPEVzYnT0EX?dJXg-HqhgZYdQTTv;o3r^F-6n>df5{7
zmHie`oQlEk!-=fGlD42iveSo?EETe**QQW`hU1G$1Xd_;opwq{(}NfLYeKnO`%z}8
zRnB{zEU-);RQhgG7sBjLr!D^bh&J*LyoicsfvW<P;tc~`Sk0{bc-g-WF&Z#)61Qdn
z-aM@*^C>#;=B`iZ*Ju667cU#5K?)1hM(lep|5qF4-zdcwgpDKo{U6#1S}YLIIcuqV
zS{wAN+|1vx{6_rai|-^KV*xkE;~`_sT995Uc=<-yJko|Ywpn|`0&~61j?+e3;4din
zncsW~ao`UhZJ}cYp?cvW@efq+Sbc13Gq{3$=&r=9<5*!@^kB5TCKcQbwe{j`|02I%
zW{N*F!a<5hje2Y$1v<-eOo<;h5XOC%{uBza0b{;+e3mW+rk}Rm9l>oQvnMjI*9)=3
zdy9eAr!{0aGjh%@)qV#F3!eHXh;Tr*TZn$#Q8HX#4=399(t+m%0Slf7oKR$OGCpXR
zbFYrOazwB&z_GT7{~QFk!K8KXy{K?aXyR^mj|N7FoJ}+zt>S^(T*C9;Wi=uE(5usn
zx0qmlQ3yTT&I{rtSWJFB35FloU(*?8hJ?aM7xH&LxY`)=)7+N?&#Y~0-yLFw8h6>o
zqAh-y&N<1lE=z(t&1TNI?Kn_=wT81X6oi>5-}KXkL?{!l>vFur4$(9DsrMcU0aeEP
zbvuCwV+PuX1o513&`qysTSx>Byc%frtsp?rN%J*kc5aAfEgR7+5{3AppB}l#2=G8F
z;<z>oFC1Hv{8{QJ24}n;yy9Ud0Mnedm9aP<v?_k2-?5W`VBvxB2MrqFuIZ8V)|?+s
zJ<L}#agu`BbX{4OObvJ?asD~?EddbV4!T3#D+7({n^s)+HQ-cKF?0+If}uyrw2zN0
zNZk0B=<!qo_S1#lv#=EgR^>;x%JSuaZ)ft^=VlG)I|lA4qaslM@Dl&EZFyK5(<9`H
z5di-tnmsjc52X5<F{e5yLY<Y4rcA;vxA=NJ{%Ru*iqXfz@oh?AA?kH4h(v_r%;YUC
zElH4aYvl1cqyn!aonA@NksxS2Ifg=!20{iyMrfxh%suUYz_y#OzD*nqeEnPozID~!
zQg%=W?fajc_R462Vcp@$N1tV(_4(<Q%27OA(c;&c|Dg#Y>W<7QKjk36P@A~!NC5j|
zqvrMHWSEJQuajg`fD?8{TEEp0L6Q8)bD@+1CoIRv<JyYAY5y_QF_HxS56(<h_EDkb
z=)u{_^Gd*;6Jp%JqY0f4)dh}<YJ=LZIzswgWf)mIza(>A6He4!_C9$<2l!bEj@*5%
z0x5qiZS?APITn%6tDe_|kKLbgdrDQ|OsPT~aYPfkM)AL5LiOQC_UeYhYc&WL|L*}?
z^X@$^0jJ)G8p45~4*J3C>QMB0uKZM}Cd@`!THAgw0uH15g#jvf_`4Wf``=#@XuW6O
zr0ho^NOR0$IR_7QTAj|O1|&Fh?-{Sic>wm{pZ%UQc!+G%=<iD;fSEz;wy*#VG=2Ab
z1+C%Xl6bu)(-Ax{*(nuszo7xik<0$|7d$XH(Aj0ytHOl^+=_>q37qR@AFOr6!_<v`
zmkimIL4=0KE!{SO_k4pxon`8<T`tugp{W2LFWfh0{%Qhh@ujU?Lu$~)emz^oUKT8`
zx(Ph{&jf5{J+k9=xtrdcN$-cUB(RH+ypJxJfPC-A)~-wyNDY;@AkB*abIw2R_FYb-
zyIWIbbyyiv;=<(nl>{JSLpI>uD-#g$3yW(WSA@u%oH9F<3#cvJ#p|vnFcf_B+M<^N
z_)*p5WDl@_diwM2W+4+`-D_}Ua!w9TRY%Wljqe}@HiM&FWi<His@k#YD+^y^Hk1#X
zUO~KCYI=-pXz;k!@^i~yX_(09e2#sZMjlO+WZ6yvoQ^TSfGSBsj-5v`t@az@lGJ?U
zQxL$2`VFU^05N!GUlbXz@gDKf7rJc60r11Qxr|{}1WZZdsRu)9(S1Gehur`H=gDm6
z!*_)sRTZb4WZjLLy`S=Y;A{+w;SH<&4gw&i^6BWx?S8bKwNv+Dyb<Joak4T!!3R%U
z{0INM97GrR@?K4%hG6kpx6gr%2fp+8UyimKLM?u1s;#aXfFqkCM`#5H<Tzx=NplXO
z?^>(*<|zhn{j~IX_i7xBR(I*U*!82$<ilm%f%+iadXVk41Pde|sq107+lwC57r;lO
zdJtfFe3Mwq2$s0ak$U=0)Yj~TYY&$mTr-Llzf(jH6i>R`p0P&s&A!dS+h=t_c}7U>
zMAHuP-CO!Zkya&2C)TUuRiOjIIhp6gUTh(vD4!Tl#8b4oC2Ro^-R+k&#fXf>b%bi8
zTrQoNj~uoYz19}24Tl4VT=TQnkS<(q^uy+AWNz8nc4|Zm5~B8hFUns*zFdq<AS<>a
zJxz{Y4whQLZ4>JHoqZYc+tVHH`Jo$Gwy#xX_)LYSz4S|*g^P&KPgjK!%YG!RC0?bN
zM1`t|kX5!P3kcQ1usV3?C$dC1Gh+Rc0(WvnPT5z_Bf0u(pX*CT5tphOiwb!Ph#Iro
zSxC<#HVbNtH*QWKukUL3_hgeHrv3v{->E-Hd}!{&W42RBTY<@;+lpj(TauP6+C7I1
z7_)~jP=6yL<kQwQuQfsQ=Y>ZWnR5t<DbP7lbq=v~kn#4`(uC;ot^b}?%pq9+p^58H
z=8=5LtzTEFNzh;;@+e#C4-$~Kc|}KS5h?Jlw(GVb!BAPN!@!q6NRiR#`PR`TB<q8D
zz<*zfFw#r&3q3WDjHJ2YkL9f(aZ!vWuQv!Fp>DbQV`&~SFJa@9xx0oasg!@{CJ^AW
z#E&kg`~}2b=Z+J0e;xU!wI|EjT?2R`ed?@Z7LjC0zb``QCbDRJtJC%s9xi7MH2Fm>
zArc4Qj~o&Chjh2SkStnI2c59ZyDQI^5%TQf?VHwg@S!O>D;`mY;~_(gLBCg!vW>Nm
zJn!itBRu>#W0D#SX|wOn+BKw`(kUB5Vubd(Cu@3tRH2vQl{;bXFT%7j_|vJA31$x_
z(mal+!nL%HkL?8;$OE?@36^OraMxYt^I(O_ZcbzMJCU=67=9|*wvWRBZ;>PGlDZ0T
z=CWOV(fAL!^=5Q`?;CaqYz?lLeXa~&w)l>6B+-F`_e=FlbX?$U>v(oYNf|7NX)@I#
z^iUsiHCrK$2bh<opO_UY!MtS1+dOMV&{irhd7;J!`*L`VyZ0%<<_W~AY>WwR8K-5p
z7VyLE6#c2{DMhIKfZD5NumG)?Ru_3n5VGS{%+93j`e6W@d3Xd4SkLEupVSbBYPX4Z
zG#f>rh24|A^^hH|B|XhhQx}Dr2GhvHQi|}xB{&L(IH4h$UMcdJ7<>qmXK3A0024P?
z&OfJkfbo=IzDSV-unykt4V+hiO#f`AFm^sLWaqB#G?j*ee&Xtl-Fgm;(`7rFAKVo_
zggs@Jg^wOz_Z2EAf^67uNui=3)NT-^vZLg{g5`m7u(u*e3ujxmO$osl%lHaUIR(I{
zm1?dHD1w1yL!)h{2n@wLU2WW5pKj`!W(`z=H^&$Zm&f)%fPUt}qXK16cr0IHX`&2c
z4+42cq$Gej>`?ag3{{v;oG?(ZP=SJ!vk?y?q#!H5qw8vxI!J4s3yZp^3Qp1YtD0hD
z;Esq2Yi!Z3{;;o?I%U)$F{R`|_?Rq=J$y!_?CQJA(S9<3Ndx?6SjO?z@&J$MgW2av
zpfVL-cHD#riS2~z3(X4Pw3YYWY+e)SKTpWt***7@c%b*zMhP@zIi^1kk|C{h=tr0z
z84@0un$-*`L*!c2fvS886x~R%yr@ita?%UiSvOS(J$Qgo&vrNO3N<_Gb7_OZw7xZY
zN)3qf1Bp;eg$aA+`gAE>pys_yW3a))VMLXVXMqa$2QMba+vvlq|4L<o(lnqsD5_Db
zjS6(@zt~qE8v@Pu?Tuf>1h8iM?I&@J3WFYxlKQ5N;qQr=rw@{d;4`nq8GVxiGou|3
z`H}z<sC-KU!X$V?d~VxoLxzSjT|#^&4TM4@-OP6V-i=tnQ`13$OBxZOZ||AF!rgoC
zq^KkiwM_{-DN2Apbj@TAdsDENUs(FSLxicbv#h*oYQV_ToshC<3L|$a=`)OpFtEZQ
z{)0&gIv0YtPM<P^{^ME?w^Rvm!KgwYv{x4HF$C)mCYnKtWNVmoGahdFb4jk=7YEXj
z6c;Sj41UC#RB;g0fy^M#aDzb*u3y=9wG1$W<%@z&@n=*)Myo$+$B7-@zB6qNCYV8t
z5C2a|UuD?3`L(-YVhc$<Uq86rYzp5VbKUIQ)uTdhlNZ5d1o7&OvGunz1sth1sqmaU
zMCSK|WTgK@`JSC&ukSE{JU79r702E8xgLD)uegF%O&T}X?=^wgnHb^zW+}MntDSV?
z%npist4ZZAr@>qAkj8vwaq!h=KN=s#h@D-&U?qU3L19Hn^YUd8F!ZSr{He!+jdB_0
zC}#tBjvV+_ASnnV61)yxyf|z{%Kdbk1i*>M=WKgf_@KCCsh*k2hMBN?QZPLP7P9iJ
zUY+HHmOHjbx?0&V#Lf@rYHkdo@md;&+N==gIv+mI#Exyq9>`30FoJNKIw8GV4A3oJ
zKu%g_!<uHR!x(QE!l4quzVIhoh`sVf>g^IXtPxM2zxmn#g1QN{qbw^3qr+Z8j}sfl
z4##|3Mt6ODkCD%pE3?SSWFo)gHV)g*=Wx72P9Hu~IfvgL8AcMq!lE8!;4pFSrxP5W
zdf?1gyCc|Jhp^vu;3FQwVZ{y1f#M%^fvNk&<{`E!)c0=MY%muNJE!_@+m2rseBQk4
zO<MkrMofLz=bU22RMRS`Mm{?5%$(Pg)H9BD)l?nl7-q$sRqN$kyS3rTE75~vOTSU+
zKlLvX{<30E$4vUJ8EZqD@bR4c`U~iV>p69^6dcBou2rr3Rtu6p%WgO5FQW&%{w<F^
zz+ocabXYFPYk_?KzU)@kH59iw_iAVl8+L_fYUz7A6<EUk|NhKhM-!V=I(Qq{u#~RH
z&DSKUuy}I&gQ@Nos^9;R`sfKe_9Zc^%Q%|?Eg=;S7vBFvHH{2Urak7scy{u?NZ=_@
zc&L6RAdwCeTw=p4>o_r@hhCo4M>13qd3UCo=&>JR?hgFo+}PyA;r`=RWVrllUpm6Z
zh$S~>ZU<)YU}nk%Ig`5_ddw*;_mVXe_WPFN^~{&NSkL8f`i)zfaNm*M+wd7PCiS0a
zMQIuzmc$a+^aZa8?V<5F8jcm~TakL2p39F7-4|0!?<4K{W^u&&4IH-bX@6F1ivY%V
z;pU}|7!qv73}-cQvttUYWpPcsLYP#80I3T|uvzH$kF|^gs~r+a!hD4>;={e46?b{6
zk~df9ZzvZgJ$0eIdqD)V>fhJd7*B-CXxqkK7ar^mqkNM0{XJOb)Bj`>cKI~zrSk*#
za$YR>h5o{jtvJTsC;I8Y2mywM<IPyQ_^><K`1E7?l2|Vb&2;7^0ZtDKPt?*2U{HFS
zR&6ScmEAKpeRYcfC5&X6@IFE8fbs3*zA_n%&b>`TB#Z#@{{<md&x9}?f~6GSs4P}=
z`3-|WG658>QcRzSiD17)!|qTd<*`c2x#xY21o$5S0RR6Cmv=PPZyd+%z4u<%yqD_^
zd)<#~RispADn%uJN-Cic5urhaB9fV`%4+a^BD0LFXemOHy=OoFzW;g7dCupY*Xxx$
zxS2asD1qVybK8ARDWlekfY?PvZTL8VubOp~LgXRcYU>6Sbi&(s$}USAP-gs_uhKGT
zuRDz0A*vy>CiljFDkLb`Yo2^^Ll&w2xY$T~td5xHSC<KQNU)e;Hj}m_kLGFCCx1xe
zk;FiFyMq)NhEINa?!=;qW>Q?-<&p^~*R{tttcDEP^s)XCaV2!buFPwNQwvR;o=CqE
zMuE)uj;K{C4$W;$JYP6XL^5}#vR@vig2;i3OoNWfXup$3A@6H#q!W~pIDA+KMrVwe
z<wI1^`>~6iC(e?P;(Nw{_Ap&=^W${$Pgh0X*jndX|B}!ru_XcN8a?1xJp~n2YUpma
z;XU4+WaM_d{l%=90oV)OzQNw8j#}}4DL2E(=yUcx^dZI&f-e|J_9G3HIl-i<8AnD^
z`Ri4VoW>A1ryii3g-1<iKM8kvlF^sj@{vAwOrWQFV5I&C0c}cYX$x_Z(dh0!qysW$
z@WMLoUdti@1qBLbJ`W<H-rpt1_3qO^RIJ-!(OnZMue=|ncxxjv7Lel>4)Eew+h6tD
znn+lXWVR8eg`QkmavM@GhmHH63VPx-QK;kGo(u~DGREwAEQ`$HizokSJ9|yEnLNmM
zqgfrTx)_8c%F+SXe^_tz69E}YjmY@nR8d%cYr19t9qRf8@(&XTXfT8?bdN6%#Sfhs
zm@A-z?NlMm+u>2hc{iT!N(Gd6<<3siIy%U5Mf!KrHBcV+9N&nJ4B`o%a<0bc@M7!d
z6)O>Sbj+ux-rrsv{TY8{DU(A7k6i)z2U}DTqr=hC*=`}!o7o!Ov;A&`^je#%j|#fW
zeon}(h!_3$Hl-{_n-1y>k&y@f;ZVrMTMt%Vv7yqie>msw<}j>zvZU*l5|Xp}PkOMI
z0afZ&?+%SLhp9J@JmZxVQA1;_jnUXL_O~>q#8TcIQchiP4hfM*mp#ubbg|4}Z05wS
zBUJ!Dn=jWGw8)^K>WUrri-xgON!6i$b^w#(^_c|*Qs{84mcaMS9&EHHxum?F1_w5-
zPiVG_BlXO)@0xAjU~-q9CjK{N2Ghy$CC6`wqM+&YiGZ(<Xpa2?%<Ix-(0!R~=Nlx9
z%;N_pO^a)3teFuD>AOwA>k2~>?`=WUY}4O2nfQ)Y6St5n6=ec<nnu6j3i#3WvlBeu
z#2aWlyIlQ8Fk`SC@!#>~8V{n{cK6Lqyru1!dk{rpGzMQ;3;Bg=PGmBF{n>m+6-`&k
zD3N7{5gbv@b+j~MM;<NNpH8hjq;W{KVD@(nLGVzUgb*7mGW&kh!eT8Sll{Bn<-~{q
z9P#sX-!IOLJcRZ#?i)ndyM4w1r6vY2$E?ft)0+{=#QY;0Cw#!>%@YHCQuRUoV=mcj
z;vbfzA+i;EtOxVdQgfbM(Sz(_j%RvjH!(?BUI${yXRILkO)b}9Jx~<<-eBXlj*;b!
zX_hyBU@K|oQ&XFC;b71g{gQ{Pn6ICtaZSfC<`Rxl{dINW1Y@M9J9P!?eqbV`DLaPc
z3OalF=j*`VqH9mtM3yn`j&-Rsfq$@SozC!JSsi$jpJ=XOxP+y(m$#F?PhuyR4yv3@
zp@RFm`2@$qMeN(;de6?H87w5pK?FppkR-lSxy)!0`x{gI_u_>)Y=qzAWLGi;!Us3e
zIPW6%guC0YbN2%F_427;aTy9oJiWAKD7=VGJ?|2lHdw+A?ce&wm`et3Bi-6Qn?=lr
z7FX6~w1OpuJ@AhqlfgFsd}QX6MND(ge)VqWHB4UX^X06!B#0GR%MjIH!tgd>5gB(k
zuy?_!jJq94aN@Jr!hz`}OiM^i*I;Q2OFwF)BsQQ8iyC18yj{zflw-}CO~im2_X<3&
z<I{$ithb4wgDaTnv-w{ga!e?>V#uh%mI#xFXkC61YnbSCVPa+qGg`_%l+S-#3u<Hb
z9ncC}$85e9zbqlLqPgz8yNq8op^Tp;;+D`R_9Eh?OVAh_x^y#StyNnSaQlzG`15HC
ztKkriDR1CFKOgr_)W#EFmkH}oyf*_1j%BfSZ{tF-5IJu>g9neia^;s-7|{}y@qQ5#
zFFNs}TWIVM9x^9x=KWX6gtV_Kol^JVM+3z2OY~k1aG@p&^mDVI$E2&)b}WMEm3p$G
zqO%74`1j=OnX9bGjr+^3sIx-IkJr~M@RvHUCDD1u<=Ii&+ppJ;{u4&Kc4EIzhN%Om
ziMON4FAn6qGjZ>uGEt;A9n$Npst&(RBa$+^xzKuU({bKdafE03=Q8<C4LJGd?_Hhc
zK?dJ?hXP|IQLVj6i9)^_IKIlrPcY|4WsAe*spZn><F|=(Hc@JzS54}!9~MCSchiWB
z{Br24g{G!bkQ$u5lEhJLA%xzHhEFfrDWE7-sRMta)u8nH>9PxT!f3<!yISm1Mbz@T
z%f;iF8u0xw7-l*qiexVmR?2WV)IZl`+P|d+)Tg7&V#?ykYc*E)NQE-u3|`f=IHwLr
z)OZ$1T#{%o{mqy9BdSPaUG@-FL<53%_G<))N~4k0uN%UO>Zt1Ro9ezX4anN<WOLG5
z7715A^`I?jAg8v9h~Wi1uso{Z=uMYL3xgG#>7NNmF(Po(pRNg~sPE@raw{UCkoA(=
zO<Kt39G_G9CoKs6s5ai|s)Y7Pv2~Klwb3&XLRH#pZMc<tBQ&}ahZY_-{dcLAgotI=
z;^fvy@bRynWWJmVGO1yI*HBDGY8|7l+!hoFbqKcXx}l2d8qfM2yF@_(zXe8by`;iE
z*K=#OTWW}@)-f<hgNmpn3?&2Zy6~cwG3c+i2FjTdShg&tA_?R$Q=y>`89hH}xCT5r
zG)7aYSf`?YuTH<=mNJAxvth+@oSJAxD=E~HO9xdYupSOmHU=^Mc~%9y7LwCF-Xz*d
zMY4+*zPp;3f_eIM0fQ_NeV)CQO|YRNOGg%?KMpiFo_{QCq>qT$eNR)8{3xi}>xSNw
zCjhyQuI0k^+9*o>*h^DuGTM)Ni)WI}p)4@^a7TzX8rA7Zu79qLvMYPzex9TQtC?$s
zvWqrKO#JJt<*kW&SqpxTidew$G|jIezlf+%jtfg@S4YylKGE^17Lc%~(y&*Nhz{&3
zd&bM7f;gDYSu@O70Qc9~g$hwEB+4kf<!qyf<ZfyPTS{9(Y^7vTZZiS-sI-53VIz$)
zvRt1}$XG(vUi$2LD?G|n(BpU+DuVoFDqHTXS^(R{g+ZrOb!4&AzCx^u2OZweGOSr;
z0WXgCd|GN#MNS^UFV8J8qVj3B$A<0}(Ei|LO5WV|{c*1C<b61c4ZLmJr#4Lo4r9qZ
z)q*(mV>i^F%d5xQG8gxKyg&y*;I!h^RYaF0Omz~1hH3ewQ(3x;=I|fmlv!De9BTQU
z-Z4*`r!CjB@j0C}hwQKWhQ;<sqr>)RtWy2fXv6(MNyd`^_ibCIx|t;qWnuT!$fJKW
zU(1dzeqR9T^mDy#QzA&YVJs{2J|n~`&6i*8r$OsgPNVZeLP(-kiRtBQCJ<|X-+pk|
z42CS?jSdg<AytN;q>_Wo;FrbP9=&V|;uN2yEO9QBSQTk~<vug`y1a?A5;X-?YvWs&
zYFW|0U+-AVZ!-fg>!-CK6BA(FU-mJ-ixEXV$nW)XVg_dsJ0|p>F-#gRU;Oi61B-p$
zEn~371lcw5NAKqv!RMQy!twS?*lqo37Vl&x$dMg?5jbiHiFRob6QwiQqCB-H0nY@#
zni4`=h=x#%yEa(kK87{2rYIEGGeXyw8ZquL0|+DG6R0C!F|nauT!l9yJlDRth`RMb
zy!-8SH<ngxuXVKE4>?9?og+qvY3oBl=;pEP{v;aZ!#je=9|l-9kvTJRTMz2;Iy$6V
z-qQv`Rm`;87(g&%Yb|G47yQ$o7Sy{A&~S>qZ+5mafGGF-<si@P{S8l#)Q_Ju&*$W?
ze}@=g(cpB5dXElV$0}OmvPWtEJP(P21S43`eIG~d)By|X<jHBC3EIJ^r~X7=Mqrh;
zh&WkKg^h!6uh@{LY42qpu0?%igxs(DbY7TKL05k6*7~hkT1VQo2yQ<nxL0+-z~LPQ
z293n`1_jR3Foze(sj|%AxYD>vwxz)J)lFCb{fo4Uxrsu>X=Yg9bjh^qBg3Plm~UFd
zWm*g8jg6)u79hGc31%MO-m%1#Xx>#?DNTHGXq9!FLmkG%RT5Nsuq#Y1uhFdS2)Z14
z>|l+rjbckALG{%4klXVcv<71H9-;dj@GxyX+C+;48ERI=C)obcy2fjrRaCejjdFYA
zOPV&&DMojc(imW&sO{YIuiP*ulh1o?ln7=IoW_IRF@k4faa(X5FFgN-$qyP4;ZvUT
zCrKt|SZ#8dj2qww<N7UUpZi+il5nwi#)$<|j~d*|5)uTq7rVV$nY5s#=yAt#11n_2
zQ@`dM5Q2SeqT!7fH6i(9>1C6B?9kWgZ~v}b7?N#sE%&YxU<~K)@@tC&0>`2|1$0H>
z*3(FzxL5+1Ex67SJGek{fuE`LlNcCn3VL;_65v_1l0sl34_G7i()Sq>u;+ZvQf)6D
z0;?-C2*3GYnJV`^K0yk69v>_<O~J#b6{fuLGyz!aJhx-{u?(b7KN7j_hllPjjt?(?
z6$Di&r`9jSau5@?U}Jg^4<l@BhKc&Zz<A)Gz<~k<7*ji#;^B!0gVVLwzLbbS-Ha}m
z+@d0g)bvyQuH#{Y<G%2mg%}j=s^)QW!2uU-rpM(Y9%igsej2Wb!^-@E>7|d#ARBnN
zAeBadW%m<aA3jLJ6H8IM14mThbyzB&`~U%*!e_5K)k(u##F5&U|J2~v>Ph9j*_z-%
z(rKCQmxZe1LcuPj8j#z_%rTy=1-1b_@eAw<Kq^x*KYfY-)nRu8dw&o?sZ%bbg`x;|
z*ZUcw)U-g-<?{OgMnJj0MQsw?l;=?m^Hl=Aw-q$apG0s}pnL5QCPR77Z^6D&9K_2X
z?-{cq0f$y<@`G(Z9F^s?FWyjw5<bzQUA$zd`u+2-%Wf)Mth$No->nLDkGk+C7#WUo
zyjH8r)q%A;#|OAF)L^E5VcmW|1z2**^h1>OfN-znZ^x)Q_*mg2uOJGTrglcjH0lF$
zkTw5Z1w8EeJsbLFlLGob?C*SwG6bXZ(Iy>q0yK#`WT!AuL5J_CvxAE<d@fwi-)pG}
z7iXns)tf2sJ=<CDw5}<LurlS8N^3zy%S7(#P6`<6rq~Yg(cnx`!1y;z3l`E28veLO
zhN)KV$YCD<8z-i~PIV&8#0$D*M37*_EJ@zk)Evg!7Pz(c5<yl+%a9aF1pnkc<`<XE
zA%n2wFhVARYN@4>;3EPI8#Pz`OWN+lE4HumKWIU5^fceGAayWM-SNYb+XAu-awmk8
zwBUKlqL?9G1xyUST$(v#0qmv2SeBk92q;O^x%Mi8yUEk)OK}!pd?wFfpCAD)$XC?8
zCdvXmjuc#xWC4>9JR|yA1Kw-NXg3Rq!zsZ4Q{E5@@FB`bE10Q6eRJ3c#ZW;IW=YnU
zv$BAeS4ZetxvHQs*&;H*%LzksUliq5=^*?~_|c~|W%%&?L(Su01}MM9?Cp|9ho>$D
zW?VaQp!{m;-oA)A+H|;IR0D|)VpH4&4^kC@_+rwqvfwi<!Sa=JLyb9fGba*6hveb%
z4JE!+QX}^1R95i1l{pZKmk)j^lYvU+sofWqe_`ZY;b5B&0O{&Mas7FcP~Kq9WXL{^
z{n0r#*trkjUUZ~HWvdw6wR`1y*=rsP`6T?_w2}s{Qi-FOf(USGk9#~_U&PW0OFljy
zwtJJYJ;C^?AY40eI(q*4GG?Q7e){ORDfCENTVLzt1B)R7|LYwqm=gV2WFxOBm`sU<
z8P;$?twc=I%~LBF9T)el-OvPnd`|cv!o?0(8mc9Ch^=6<FRYk+{ER_9x9^-n6*EKz
z3|ibdyNq#3zCGhsU<Aj6OXNIi8DK?0=D#N?OPFHblZl;w3?clrbF>d-gH~QH&!~{O
zh_w$tG5<s{1pG|#VfTn-TH^7U%P;RQU}3)>?#qlY0QMK|bukC$X-zTtp@e($n1Rnw
z0liNjC|PMGxD(Sfhc&D0?zA~<7v_@WP0|O_AepSa_?y<Hy<+83F^e^^IL4t{dT`)I
z)c)7IhG}0bMNjCA&0r-T#S)knbU`P7S-R%oR~lauSE{z|4AvW&`etg|Kb?*o<i`5C
zX-OaZhpt&nWASO?FYQ`&ps+?tnMb>smTlx({=<C=6DHwn{}}5)-;*M>y?@GSKcDEv
zuvbrFU0R;a>CdR(!g!V}W0Qc*>X}^0cAUhx`Zel|2~?o>=5N|ve2M*a9V>6roy39y
ztXpylD8R*&U~{^l5tF`6X*PA4#P*jJ->%l6fE~Vf@IXxmb|gplM%|l9Y+B~Tpj!zU
znmb%}Gm7+J9}nsJ>3L3JnQiuj06j94;U^CL;^@cP)v)Dy+iC1%%kAA`+r7DYQJ_t%
z^9%OsQL{_9@eD?kH?hy%OM*O;?3Gs`gP7*b{Nm=^40g)u!gWf6Hu#%#`R+>ii8V3J
z-=((AVyPDnC3{U1!Sw=LhqC)HR(ve4Was-i?D?-Ywt9IYlyO;++o>a1*sKzJ!_+*M
z-00(~<D><|CgUI7l4IDGdg7A=!$nLd%jsTrk|umf(YK2e8OKaJ$DYg-FJaO@hhH)D
z62MWwSzHZ2fw5)MR?6&Gu-~NfZsxKCV5t(>9PpUL8Z~tzSmf8RlnDW+qrP|;J`?)(
zSM4;`_3U-iBc%;Yxq_j`6Vrg(mdl#1Dzlh!iIP~|p)E|yG|K0Iqy}WzxuC%4IqcU+
zDE@&D1DZI+dTU3pIz0Bw^|xhSz{)-^(}_)t=(z0}$D@O4ph5AAyzzJuW0H+Kk!8b-
za__6(YO_^?xf^}FIwzMgV^rv8Kh1*feBS5&p;i?_m=gvf99OZ|!b^I8-?AaAd)KVW
z3{-(+7px%=u#Q#vM^`1)bD$_$+m)f0D&Xwadv@UMCKj5|5`(R9Az#ylcjI&waA|lr
zs;I(%82^|Dx}M-gaqDzO-yUTcdK(gUFP0ItO8zw+;1EFgXG0ft&L{&Wlh$^gj~U5H
zjHFsz5kzNJNP-q3%1|BD5Jq~%g3k5_?GBX@MqFp+f4zT)gAZ>rV#05+AuZ!{r^X*5
z=%nKH5$i}C9NI0O<dMXI7CJA~M|Fy!d(So<F4^Ot@sWj&WD^&n+r-=HPfH;Gm!U#8
z2{^F4|B07E;YH#bmAIoIje4~e_=IF|@bH9i>gj%d#P_?P@xLZn<nhnMOA3dBB|Yzi
zBS!?$K$A}FTMGsB=Gn5Iy(JE&2lx(&E(#$5Yg)>aw~8o)#_zOw6$hmX;@O`{MbI0v
z{X5UYI7BeJ6t6RegPYf8UvnmjAs-Hh`wmhn=y~|9@Q!oJ;InEd-}6ucu~Tx37#CHM
zr;m(4G)V<Mym;WV)+2?6j2U<S_^XbbinhYXl~qBxML$2sKo*^k3aabd!XvjwZ}>f2
z)j)bhvs|)89%;{&3=F7fAro~?|M@<3z|Y;vDW@x<J;&dM__%4K=bNt%aOLBng7w#f
z$O<Kty3p#y(LzE>dEPH4x-_9`NVzZ9NEw+#^zr)-l99vhUpO{TZ4lZ6<5$~N5Q~CY
z(Ty<*s@o)YFB8ddvf$m}RbMsqn$_>%jXo;U7Rzb4F-(E0Gx1qUJQ|3eU)0l{se|^v
zq{tPt>p(zC2diNo9*JmSUI%q`5mnUuN!VXKnDkD^lC(9^5rV?fn^;|xd}*!QN!JkG
zO<An>rfH$dy`wH>3A$*_AZGt^x-n3hLR|d55mD59;n+1DU3B(}wB8LNGk8odQL-A<
zM$}yqd0rtpD0)#4O9KG8VHV*N2T17A!(io$?o{;hdCp{!w>bz|e^*XSAR#a8SFH07
zG8#x<c<r>^iLxP2xztifXx;X|jc-CE)ZgCs`s6_i5PI$rkbRbfI(f>9?(u1&J+ifZ
ze+4a}cHv}8r!)yg$CqQT3f0iXkqRl(JC-09Mf7>Ct&N)9RQ9=P;Sg_jpXl{(mLSTQ
zdDW#y3vrzsG&a8_i@Gk`dv(rPLaD=vx+bzFs&i<*cHKr4ZP<>T-qCLf=QSGGE1mGj
za?n?y`x-YYx+?JH=sim~lD$kA*{6;o>NB0%iZ?J1Vkau3Si*dQ6>UXV6|JlcOvuR&
zV0K1WSW~qHNV+oc1@kE*Ia1nZrhUI@FMO}CJ<;CwkksN0^>Ia%u2Cu9`+be(cT}vM
zKZ6drg^PDhv*b|~e}jw9cJEl6(r9twq{9?>jAH*l8b!EF{|Rzo2hdFs54>OwaiYJS
zN?XLyuz-8a!9!f2Pdal_V+3GF)HBOieGxSKv9-Pb1P}bQt({hL19(?rC>8fx0L{O$
zv}!2i1y^g&O;kt&{$E~0qBY#ee*VwHNEbfn(jU<~R$>O~<zunN6gHH+-_Gw^Dj)po
zeL6zGOu@OT?zE96BN9IR=W<*EADk9E7nc6j1h|uR_!D=mVloX<R&sm!pp|}k&orwE
z%w4Yi`2jbJP2kdkPpt9+r(XCJ-N+bj&E%)?lni5Ec11*w-{%FV-@A*R2N{9H4Z#!b
zXIio44}~_4G+ww}RkY&-GK8i1w<7P3yrXe_lz2*A-~q|{Z>0|e3}F|iFL^?9kVZ3|
zFS(9*AW6+@E7#iqI-l@QQrO40IWEcUQOE;EjYeTBP5N+mujh}ArWslp=Vb@IN*>Us
z4G%~Y^?~;bd@(Itpxx+kH}V|gf!l*@$DTdV16Q}v?|jB9w7-2i?w-I4CnW4v&+zKO
zwcn`>i`Um_3rpc|B<p!W(Jq`t>6$KlZ^(IIm%Bx~^X)|y^I1OV5DQJoX3+(+BXb18
zc5jnwp1B{h<p;W1^X89O9r$Hzu$5!P1o}&w-o+XMFey$h?iJF3mydi-R6b$`_G5uD
z><t3IBi^4E|CkE+p`6*fEUXYCdy~&4NDvG`%1YXR3a7FP6GVO4AnMKzQ!7g$xPlW5
zc-l<?Z?DX%>V9?*{I;j!nuah~@Jg5mT%f>(s{^c+4xC_p`by=fx(H}E9v-QXrNFx1
zix{@gT=39o7qhvAD99+-{A>F_2JcUO4SpARp!0*JM|iLpglpy+s$3<5Z9?J76*WE}
zYzju-`5+G7f;))D=44>{`2|-r&kvCn&ibcKCE=aWfopl}WH7zD?)G3x07O0lVg7>@
z<i1?B68}Vk&SROG>GOhsE2~l;za#_42z3P4G7_9}Rru+|B@E4uv!6$H$w6n6BBRq?
z5?t3yVZ-Ze`|UK<UP@L0gf#P?ibs)v`fTrO=KxXg#TmT&qO1s?z4TtUTp_`)nz_fT
z4Pwx5>@0NDL<#Qq)=0jJCqX|=J7Q5=0_KG}6PAwQ0QQD@y5x~yf)qP9StbdVqeDl|
zrYM7nMVlS9iv&aSv4^yGN`u7V%9BF<DxiFi({Wya4Ar`azoo9o!0er3!U?5qPOyjm
zbnqg>zgLZ75w&t)ZQ@D5ol^(o;atPrPKIN%m(t$bDFDCYlPesJ8qlo3KHav50`v3D
z-ajl9q4ROfA54@0<654h(i0TGpXOd)qbtFu6H6&g2Q@*0z`vWAMFmmO{2sm?IM~1C
ze)QCBEnuw3b7&3F0Y(k(<-onlkbD8>*jPw}@sq!)LLR!1Cq?WWcTs_Y=gpL@N7`U{
zB$n*ptq0HNaaHFIslw>3Tv1aU5_pU3c;0wjANq{wn<3lWoA(RUC0!!H?$WxOfo~1K
zXyjmFr;R#jOa!t@J|e-N3?T{|w-Lx2Cf@8+(f|(Yr#?0rB)D`s>_MrAF}zi9Gf(=Z
z0UD9@+?)X<FuebQy8pEaJlb#FkB`Aa(-p5{l9D8d^9+wJ-R6t!{tG1=ECl#Dknhi_
zstv>?lS6M0(Lhw_c00f8_P^*V^?$C@f<pyS`*U^zG%!9|_X#J!X!d=}9Rix55azRw
z+6#~waXroR0s&kq0&E4P@WAG4RGhWj99neSu6;HnK=0c%7td)mFsLbC`&eoYbG$rG
zhuZMa*6&l;l%)c!nHriUtLE^byh22cf`<p)$*;RCwmVPcXO<P74))QcXa9UP;Og|%
z2lZnLU~>4(uMg&Qxc=)aZYx|J+Q|EAqfKNXI<BMq%J#0OWh1J4UJXurrMh<hkpNsp
zReu114(1uQYzOwJLSc@-x6zCUG%Mleb~4d{^KOijjf4t3HLIU!I4B6>jY^JN&D(vQ
z!%O<ni-SdMqO#hT2Wt7Ne9|M$K}5^=cic@S_?GI@BFe-LKlRT<2vN+TLZs}n_zp!l
zCw`157sv#Yw{L&p`3w-k`CRlKy8;AFdhX^A+N2G<;}`pJd3(=cOAC7}3;zQE0RR6C
zmv=nXZxqMvy{^5tYhB#y+Ut9aN+D7*lE`WyMW~EqlNE}{PT^Nk3aR@LMMzemYzi4E
zvi0-lbN+aq*Ez4xb3X5nFKXwIj9J58L{fwzL;<vwGv!uoM1U9?+rhi^8*8Kg8bck3
z!M&V6Ikgf(pg-%!YRtWay_ZRK(R*qHL#M*auW$>1Yw@Scx^{DzG4qL<=y^kUHhYnf
zsLTfq4m<*F_CK(azL{4B%7##0Z<Iv5zykssv2lFe)0nHW@O~Q~187_`KUCF+19i*h
zUEYXkY{kz^$@Q5&IL(Sz-|^rAiRx!ma)j^LpSkVut{pwN7Ha?QnI;EhF<{G_r9ZIL
z<cBW(mU@slrB0-oX9e@29qX#5S&YZhgp^RA3))M1=kClfgAS=h)5T*RTadR~UtZUN
zLyDpb8S+eUlysF(_2LpHtK<2b_P7pcbaLg*moUH#AI*fw*=3CU2B-A&r8eLm%uOdd
z)5AyRW8@jbKUgcV)ooHt8_HUiY;GK)11aI$sB@%MjBLB!5+A1p3#JOW8|P?2{Jb1}
zB&=a9UHq?8*EC^S%n0+XrvajiZp8Dm8(3EOevz4Tnm|%tZz<BG0jgrworTIRti-o#
zDRM#sRvzstJRPKlt0(KfA7tId+~3>sIk;#*XXn#3<`QbSbld&jB~vQknCC7&JwgUI
z&JpGt>C|95+;P!4jT$;|F?L0#$xwN->6lqDHN;rtbQ><y0Pk79U6G&aupai%W2}!F
z(vRnh?(?LBR&qSkP>?$8;|-fK#M8j2CwJW35<Q%#qZ3?UQU{&rikSQ?8pxd%BhTJu
zgrD-kT^H_?;KPAS$@y}$Ky{<xx9%}!2>iNA3DzOOpCf&Em0nudu_(0X)L;dh{x=D_
zUx?7iEK(ewPX~XM?s)cSvBTCCe*KB7MCd5zui2MK5B9M~&r7&+LiwwIBULg)h(3~<
zX>^AHINt}Vj1O`_{`5fmT(KJ5u1sdV*UShiai9MV2y?@b%lKU$HZ?G&wp4B9WrlKL
z4_CTC9`G2%v|mT4!X~v-MPNJ&Tsb#U8#>1euI@}XmuXbNeeB`BG+8!qmPs}D4CRNM
zv9pOkZ>vDLw}z7O3_Cd8rMme=O%RThHdl#jsz5tteDB+5PVkTVd2f_f7{WZKe2r!Z
zz<tYA(SL&rdNe-V@Z1uCH*<<P`=1ctEV=4upaeI3AyNtO3yMRqL&~q4Nd!o~FMs}{
z3lD@kwG)a|B%!KI+AlYf05ANmKYLfp3rW9k(v6>%f<P9(p{xu7r1e&;XQ}eTcnmN8
zONBIq7j%V<wGg1{P*CxaMga)0Z4VM<l7$a$E#20_D)7EYpt{3f2<E;f-LAYM2Q$)b
zlG0f!kWurwEE+`M!h^V)SF3pF+xb4TY^Vy?b$&aCtBAp|maqBIkqYp6=3-wFzZ#rb
z4$~9TkpOLScb9;W65!77pUCGX0&fR-(eH^QwBacqgq|ydT(hX3`%5AejD}2AbV-4e
zgpt-=OBHxWU(vL5jRdEdxpv1lrGZwUW@K<s6%2}4&gq|42j2qH>p)dmFg<T>QKCSE
zVD^va3(k{4hEDJLvX>mVRalxE_7dSr_Zha-yBcu+Ov2=^d_07<`JS%vBtgUpdM3je
zO}OCK{D`kl9tP^<uLli~ASo%A&D22~>gNXp*>)7b^v0LduVmCAyrc8f@hKfJ*7}dN
zlt&2ymneCxpboExuNSk#=t0L=oD~a~GI$YrKh5LS!S<MyeUpX(1g&uKbImEkqmSt(
z*}WuCux@u5m^OrXx2VFRYyw!Te0W=DN`k3v_c_j67^GIxjUE(GfdP^D{GA{on8kb!
zc#sUBc)9Ptm(D7{zI7&KVrFmdT&mX1X2vi%HWOmwsRA0P>(p`t0Yt1#IQ~o+1AV9y
zx~HlF`-=izyzNkg5vC34QywPJW9xn-v6cWfjXr;rr}5Cldi&a|784i^PqDj2PXNKy
zvo|=VW#Dp;1UZ7<6wGNK?)MZ{2IpNS5w;(aP`fD{^;^aiG!1bk-8+h){U?e1oIw<>
z$>_VSNt=Rray0{Utpd=<Uu#gy<%jRYj~5&E?%9;JeXd|D4-=buy!n+lsC&g(dGM17
z@H9Rk=Jd-!x`{{jgDe*K7CB|a8EXQJCcF-}EM(#9NxAV^8d|tDxt}3I)db+0ifBTE
zG-QWb5Jn9*Fp`lG-`fwyP$pHhE=81rmVo6Z-rxnSz3x6C;*>Fn5;D0X9VNi^^N=;S
z^&rM_(WJ3u3E*{*Y_XP~D2%N%9d9X!r_fUE_S1#|bgs)Ec6%fQF%euN{wMk<W|!46
z_}BoNZzydyvI_t;KF&^Cd7Kj0t$MCZ3j^(Xu;nk{1u<m<>W`nNDTA}Am3EFs@E|#j
z<Me56cxT(_TYi6rQp!2);&H<eo?C20>)CPb>AYlceQK6s;5IZG@x%ZGxYKeZez8FV
zCC_brcb4+*O`-1Aq&{Q@Ps@&_Gei8b2|6y#SqfgXQ)E(HA2#_K0%DRGU~E{hE%xmX
zO4nB%3vpLHxcc62YipPm!s%Q$^1n_~_67SM3MtctyMHA)v#(J@60rI8l}u6|YXxdO
zThW2bNgo~inszb0JG3H7M&lHY8f+-~fDQ=uTIF?eZ((5#->N6VhA9rM7E|T<+R%TX
zb)WXvHH=;azcv;yK)G{PgJE=A3utU#(qwS0VmpmA3S&XNl)JAe_a|MnVCd6>_uFN^
zu~qhvt2yeO6e-Ha+3*%kVDHIh!S4LRvQBN(a<sms7~lJm9!AuJOlK{>kw*(ymBIVO
zi7Pb}^Hl9K)%hAQXLY!7^64CgF6e#r3Qwin3YZ%E#jOE5mfwoE$TL{F&1dVlzYnp2
zTW2_U6UY$bB>9Xa_Z?#uQX4;ht^o^b{F}T%M+W{uzME3PQy7cku8j6X3r4Ov%@TQ2
z9eM+}y(gt6F%^8K{U6&-?CY!;C6!(sB<)P8{|ZiEzJK{jUt9EG$9AlwSQANbTzgU$
zZ#RxTEi?T7V5}dz{bn_BfM@T2fA==L(lv(t%};n2=s$?1WU<pu<P#z3iM0$v<QR5K
z;<Q#f<1og`GE2v;Mua~Fzgf1u$1qbtU;6grW7voK6Fm<j)gVWjpV=>T43i@rr9^8@
zVE)9UJB0sKfrW4?@+f5t3(V=gd`w{qds?wgmo%&bN1F;7&MJ>%<e0M&_etNeTi$g#
z4|r5y<vM${DjLTQ-sgU^Wj}*eEJB~NH31ANEHt~WPhc_Ua0^C-b690`ltf0VGEl1F
zteD#*=6K?PTO`i{R$k|0ME;@#hTr64<9wztH>1>Yt(qn5!utbPWo4AWuGn>kzjzv>
zP85vD-oK0~TOTR33s8iKC)xW?)BeC7;jTS)@BWR2rdEg7eo%ni!Zn$!)EO+Zs*rys
zYz5=|g}-8oSAZpDTC0mzbC@@$-FwfYf3bk=QS$E?dHC{&-rLl09@Dp~XAeHQjvW?E
z&3QMEhxD<;ur2pR%=0d;Ksss@+pr||x7p*NvIpD8?fwhnz1kT+GPjL|57Ae$x5@#%
zm(+!j=gU~&n}=OxxBg+T&(umkHk5<>y0%An#Xp!UJA8}QrG}zc)E9eeWx=PTq~k*K
z3Kmgr&>_-I1Cc_{-Ja{pLPBfU2wlQo%=E(e@0)3K5P2uVG#kl46Tfs9U)Vb4SK*Y;
z8qNULG$Zb#Rx<D>z@@{WbQAM$d+h6Vp9wtGHSBiArJ=9+pkx-^4#p>8`0e=$3-p;E
z<B1EE28XYv&hHBUVXknbAU<}FBYc`Pb)}>srDgEV4P$EfYyKwriYgZ<=XSaM?UaJg
zxuWgKUueLLWI6ZvHExerSja<BQgDUgj>6k4IylpltN%TK2P*RK_8T3L0;&Tm+R8T>
zAmF{<V5>bJ5YdyA5ByS~!s$$<P{;&ZX%Dkh&Iy1^`_Ic^tCH}gM7+mml?B{h-&19H
zDg=+)g3i64mW0pC50CtdVu!TZqk#uhMByCHrZjC%5>9Gny-ZW$f?erjvG1nEA*jXD
z(}i*G-R1$6@){h-mu8`xi;{42CBN(hNWs+Q!SHl19w4X<Hf|?K!^_nJ1J`q;AVb@4
zmJRrz<1KBp)j?Tke!25AT|^r8y|mA-H4^}Xl&d$8A|75<1!=i`kOoP-M)=PwLQpt)
zAS_Q=0oLg650yWbfx<eKim(9@sQCGy_PwPNgwmfw>fN%ya)aSy;yH2P)|qPEA5Vay
zo6*Uo`gl-~cdARsk_4J>BgbA1sX{|otIO$id6-gXpgqDV4G)7c?}>XvX!y{mz{{-!
zjz8MChVx{g`hFf`bsGtC+plf0-X?&#%aK#6m>is$_TAQAR0r+8hu1Bm)Ijs;U&iN)
zcsSa)dh7l!8I;cdn-RN00<noiKe`7Ba8-Vhzjr|c7KTk7!o0}9=M$G!?5qTQUC-`*
zuGEAlG+#ta(lkL+ENAEk;~vKi8>$5<YeA0Otvs7w+AypCrkCrU3eX38PsTWEflcez
z+Ol9hu*h0fDrQuJ!k<lTDGGaeW7l+ZR>%-WqlN9*B#7W_Ppdw8OB1+-w_ESL!5})-
z(DCveA~e@$vb>Di%MVsZZ)V|*!54QSetMb+VU<-oBb;O){4vxQwle`iHqFRfIufuP
zh-oR*+v9kquJY8Arf@~+Bjxkb9*0T2o=7380^8i(u~!;q!0ASvZTEl()2#^=8BvO0
zw<!Fgv&RfZcDlSX6p1jBI6>c4E(;C;eSL>D_QB_?cF2B971BBD#^-A#pw{a@4I8I@
zP-e;P(s@J$<h_ecZ13_z<IcO{$%Fe~oBrNkT`y$_uUwC{ie>|ijpZ#S)_u^nVf6jy
zK}8^>+-fR+vW2P3nQu9jnZeQX{_HLs@(>|N2(f<Lf;H_2XjL!+W4W~~nr2y;;5h8i
zGPq13J}3N3xoZjm1uuC#L!@DwRqc7Z7&UrXeX#Q0t_dtBRoOq%lLWd8wRzk=j7V$i
zcoEsn1crL`CF`U`LBQ1Got!8e`qHQSdaKzO+_jHWu`&ySfbNP1=^`icQgNk-s~E%K
z9^cT{BwldSx;HKQnG3!8&McpH55TVSDuYcC7l=n1K1DG&w5;`D$PowdMoLQaUmXkh
zHs-t;p2DG+{P%hlVi*X0tJhs<qJyDl+D*oc+(=s2IA&Dd2zHG`bf4GkVk!D9WuK_H
zQS@hx^;|FnU!&IUj+GTmB7<RbbPR{0GH*0~_c8#*YRXA@w;9YTadNui84hW_S!627
z)&~V!k0@`OZtU8#k6*hZacDC%&*}9SJy3YWui)~ch4R~R(xSx<hwgPhIj<_I2WOA6
z%-OI{Q1*KssMk@)Aw>=4V$Mst5T0(jn&7@b`BdRe6C#R3T~E5CayoQCM^>ciW#=D?
z=y&DndI22bUv@gCpr!+oeY;9Le(RL#UW;HSJPw7b<;QAdYr|^Dmbd<+ZOSlB2_N?%
z9O{{mi8#)p4L78`o8=BrA^sa$&N5LrbgH7U5hAsqheh2qR)7Zm3N@>~+K)pn`&VXO
zQ)$5+Y+W?6lNN=RDtLV`;zp%>ZLW`_HKG2zXN>kmdc<=eWHBFcBPEh+ECWsxoJ0z0
z$PA1~KfR19-~<m+b9S@qEYbkQpH7EEGMP~N%AD>CPG0o#l0b}zz6R9riznZbVL=ry
zUj6JF=0);xY<eO?Wcd8kI54V)6)8vBTrqyfhqhX3n3*ET;OBkWlFf!4l~ry9`M2?-
z5Za(?YAR${H4~!>UgJPYRZeT)eh46|(6o=s<Lbchm2Gj-o(nyw{x4-iN(jY!+-G@v
zUma4~m&6>5aLBIAHbFgD7&(4(27-q=Shpumek5|E47aKm!*e1?ImTkDLtPzuax2b!
zCGsF$t=U(Et72$4&PdLgRUOW9hrgW1cu|&>NQy9C0`b%M3YIUDphd%E`p_vpbjm8l
zK`BTQ2_F9yS1?S1^EpWp+^PJ?=-jmh&a+ZzQ2e)|=^zQ#9e7VF_X?mx!j(To&Pb!P
z`g((pCrEJTeR_b2q7c%{CL7pYmO;t$jEMqUB<Ok{=uww0jKq`U{vMB)MeYW~)6IMN
ztjW*2>@KG$QW>nz(|st1?A|_gV|Gyo)r%pi*Ym|tmAfPHS|=VcZXV+?s!#_<w$Pz)
zV+oY*?|AUXsyyP};thJrMg|}BW)XK)5)FMTB;F8HM1*boySHzW;nA@-`S+Zp(Ahrb
z;7gbivWxSznB~#{E-rn&5s*f|Hzrc3k1HeTC)N{QH5wp5owqZiB!hG_@i#J@2#9`W
zK;F(@6V7!B1Y7gVB6_QfG0po_(9QEk|6MTC0_J|DJQ*rE6c;IaB$iVZod~?{`&306
znoG9QR;T1plo&zq(i2rw-Nd(fP+4cs*K75@B0O5<VCfVTQ$vwD23ODP>4H$<uizUg
z@`%=jqczS(4Lx!w+%mA&1CGY;cg!sn&?K>BVbDYkS<ilI8oI6z_Dfe{F8o$N*6)XS
zI~G+@NmL{2xl#l8crc8t6RL>%`Od4l9Z^M_cEh6wJ{STMP#TSA6wzEi+;%;ug6QM6
zAK6YB0skI#SEwnWkz3}M9vcu)UiWogi+K#*Bn3Hn*eIbxs<%FPd{jc0bqYm_d;lot
z<NRFBmC*3JQeu&UBD$E<dMB|Tz}4TNsF`00UEhu6Ww)0{(x+tUy_Aii@Z%YW-B*gp
zw)L7bzqcGxT0Vgf^f87CT>MzGt|BsRXU5~aWzYiqnq_Z}F{l@OE2F)wfSga>OEd74
zLKfYxRRf+G1K%%((kJcmXdj-c@zt<6dS6!R&Rc5?MfuX5Ni%rF6RqyWEFprf`&<wa
zDmMns=nSg4MLERVJ6X(ID1eMqjWRtGjUlqL+1_bN7CFd{>6Q5NqKY`UM{qHQMByBn
zOCMzr&*iFv$=NtWw|Khgt*kNhN*}tDR4t7@a$o9I(c?g+yOr(N#{ts16b|KON}>3}
zj(GVEW<>R2u`V_X;E7wqFOKVyD2_f*)B79)QhIRo;>bSO8~Rs$mtJwi)z7Y9a+4Mb
zU;3GKX##@<yB2?ow|n~UNLUQkrbcrLkD~ZBFgWqC&3wK?7%8Ng`G+s;QaV~^&oJIJ
z0&$|uJ<b(Dw7zos!%6pTN<6O`vqHBaoN^;Jdg}|ICW%&duc}Q-_S1LOixP&=V3dzl
zmhhnwL$*qR`VGqNKJdA6(Ewy}dOY3`c@YO`rPBNK2E~eviZ=DFKJfnwH2FBnje=(`
zx$CBHP>va9S9c5PL+_ldVptUpB~TlAXJ~9vXnxK8D7mZ$hf~%r(3Wzct826EkF>Wa
z*2A=Kk96z8)jETa*h`!!Bv`8PWzsgqFf2caiL46;`qeHC53-~BlM{_!<aa4&7M5#g
z?&?7P0*aRpWkbIYA1grr{!zM^Gea0@b>K(;L9a88tZ34`uCS4T8l5t+wYu!D4eKb{
zu;e@oN|&R%B!j0x-Mm>ZwWqXTyvitQ{V6kgL&ojibf!gy8+RU^I-v!LF5Rad<Czhk
zH_NihBRcdm`tsSe&zeBgy_RkMfeBTtw{wWGF`&GCE;tT*O<>|KYP*%qg#P<JF+Uy6
zh)Q_}J6?R%fL^^Ix0G}y<ltiYUx5HKT4btOX7<zom3T({<7Z5$FRk*%=Oz}^sHV(@
z|3ilHiK?93EhZ$Pek{*Fo(*vtvHv2*kb&o&(c4pJnNdfgpzIT$Jzf1^A9fHY!)6R$
z>fvo>)EGfBXV&FHV;iiE{jby^cOsv}^_&G=IA63~X^BJMeoq(7?d{2{Dq~l(Q(2LS
zTkiqg%iJhO?1btMMs)}n^z%|oXG8S{I18=EJm@evD@E}o2~Kn!XfUf|N4h3tD(!!~
zNHJ;9Nz!L;|BFU8K4suUg86u_Zf|~6ZNu`;Qi%lN&E=<G7;+)uX9KjEvjXU3vKYg@
zJuduM&@5xehC^*B{)+#ig^=MIx&K825l+x5JRV=dA?H&|W*3Y^P|TABj&rw(@Z9{@
zd4XAOq!1UCM9(XRez-)Nn+ELFPkkDwUFSi!Wb{epj1q{L+GDWal?aj)g{v_VeCU}x
zDx6J{L`Ra!dhR$7VdkYo1KEWiSq=BT(kYcfQ{yLn!d-}PI6u$au|@zzy~<}k-64&d
zrH+btUnauDWZ)SOIU#g=w#6)iS{6|_ig<_a5+O#7iT37WVMMh&?&5DMhrR`7evbG=
zgvU6wi9{Pw^mUBGaw!Fm+|Kq>35$~8bznFBB#St@ujYGPYf2uC4p^@GhLWH!tcJ(w
zn*<uNGPoCJpol2vhh$9ul3;ZIR(Z_0B+A%kKC*OM38~C;&Ktz3LqqTlyu^qU`oPXs
zb#qD?WsF}@ey>4>5jL+b{t0PRF~*NJ@ha#KxBB+nHW}iqLejS8WKimXtn>j}RU{%T
zyeKuU0lA?bf9h6cQQ1(<vj`V8^y1Kpmh`wLOol1lzP&4l7CBP7Y9)xse3EmsY)cE=
zF)w~`YI!uDpTu`8kcc!xlv+Sl2Q<f{TddaQk*e>K%bju}ij|8Blnm5`Ts7sd$s-Er
zxE{O5`FbLnwe7vY)UF45+DY%0{!>KV{z|3s1w=$5|9x~w(EzeWq6AL5Dk0&EFV=rK
z5|Q!c8sp_yLs+w4jb2z%LKTl0Pn3O7L!XbC9pD@>g0Syx^}6=T=u^zn{I?iYl=wP9
zRcw!k7cUK!)TSw;!HXFL-$eof8+VKJQh;z%z7hUhWwc<;_oAFt8C_VpW+kIw3?9+=
zM_~cVX!6;s1vIaKvT0j{OfrqZLOW&rov<=GS#Q|dR)j~(%v)oQbH<SO<Iu{DR3(&Z
zZ}uh<WRc2dl+mV~2}qvXBF_ydA_doHF%tt)=r~7b^W*^&Ffk~r|8HFZ6;)+vU)d5z
zDM^<CR&7imYa%nGV2?j?Vg4N<R2YTp*KGVVF@c#toSe&NJeulER~xkEN3&OsUy7A9
z0T!{!uJ46%2!HEJ-i_!zZtrOk3!68FYOi*4I3<hPME(1MY&lS>s^~-NJ^wmbS0W|L
zCxdnlKW2#zXF>-Vmrh7K8$;i(I7>>K6mlZ1b&RLdqLVsHCu`}Ap`Y#i;pj+7)bWX}
zqGMy1Qs!XIZ2kzq`(NQAAx<1EgybzQd#_U{HF|^<a{x={{$d|lQRGu8<de4V55-J+
z>+jzV4Ejq)sY*xpxU(eaGWxVg@eeT+y3T-sY-ZA!z#9P+FrgCId}x+Z8+t811&qMO
zhqzPF#D@r`5Jz}0O+nrh_Vw2dAwH#b|M(&g$}_s-JD531iSE_Eifb@{qR;0ZUNYrI
za`>4SHhmM6vfAv?!~gW*fKlR*5aL3X&sCGNWG5+|4tEoN?AM3%;*%@0?>W##dvQM(
z+bK%MVyJ-lZ9T}?-@|Hgf(>aOD5q^DeW!eTpIwBT(uLE8wu*CFEXd4C=XKBh8H#XP
zu49|-p6|$yY0n;KLLN^ujy}BplTt^~S2fJg0S$qsX~IheBr*ENr~mn0zZrF^&VRJw
z$o$TH%u#xDl12eQWSQbPyhDex*9Okb$l@>Zbg0Q7{7K*DZ;Fks0Ovl677PphT9zl$
zBA=l4U;3*nlo9e@|B1bP-&6m-yWtECA}$_`KFqX6F%irP=+D&ztA#W#xsTL{--wIZ
zgS<hRVk~fF=hg&!WsxUlC#lis_~lB0pe@P(;~0Nvq6W;$GFI91P$SWSND_bl4kfaD
zDMW->1I7f5r`8v!kV6uU^QJr%A{nW*P9~6n^Y5`(sh@jig6HelKx$N_pu5)3MFwi2
zjB|?2)JSV1{+)I|4a)q$BEFWR4*y)AKWN!cjU2txtxp`JL(CDaYey8-A;Kp+m!X&%
zy&E3;5!*+PreDp+ti2*ZKfQ9Sofr)&<gPML4`D<<?j?`@vn7Ef{z$)n4Gq%Pcy}y8
zpBW`cZHOl>65;l79)I8Sw5Z#}0ADM{if+~RWHludL8_dF`3XjcI0vX7WXrIl$D^L=
zLu4Z4y3?JWR;Nc-{&<Lw*>Ixt2ZDOC4Qg;HxaJ|peg^dQnsDZeJ}z{@*Yvc%h#Dlb
z94)_il@S@-ijXT4<VIVk*?k>jRN+icSw~hk6B=*sQaEvi2MKvL|E27xfM&2-!eJ{G
z^m{tJb7P4Yt&12(KaW&_(07&6#Y?QnS^4<-(^!5q7=2wYgkJ>&H0K2d>e-QnhQDP6
zCWxlq80sX{6QDk!Y1yrc6Xj<N`q2mrBj@0d`qGO8kcxIVvN*?u5~n`hs1y`M*O+S?
z`t%4utp9l`oR1sb#|fsm8;T>sXx5L*A_UMK$v)WZ$b;^XNZn0lk|=SF{kQ=i0qA#k
zm-y>=k@Bq2-_<ZF^eAvF%0ig{I(eB94I2DNl79TfiB4&BsP_2<MK=PBRunAtbPAx7
z+XwsN)MU~B00030{|uLRIF?@=hi%E;d%yO4?fri6OOuGCWTc3wq=+=Alq6I(4H>0q
z7nMAZB70;+5!sPsWRssi&$-TZ&UMcDUZ4B^_8<3mt9`2up$A=Y#!;fAZUUcRV2%Q*
z;rYGrx|s&vIi~(O?kY|S-;A-;S5+d<oH$x+{!0T~dqQ_zvX>+^k3^9R@0H21N!`C)
zwVFu0RJW~mzchL6+=h)guBv2t&^DLcel6TDwioNImLX5J@h9Z1sF9(szIgUzXd_Z=
zvHRD!Ea_?1Fa9Z0gUtPAf8mr56{r6>EeS}=llLqC-TtGcMaEU~UA^z91F~=KZSF1#
zxsK@W;C9v~|J`hOT7Ezmma5E=%t;F5<YsSKLk23DLR-i;N!NpITgc<=W<~Oxk+Fhe
z5|tGDu`^C?S|3*Pwl~JsE0go<8xrYRbx8L|tJ_8b48febOK-cO3OTj>;vKnNhs;^*
zzp%_;3{aewciXFy@^x>tN)GCfp9=Mx5+0i%VSa4uw5=NXvn<QRW0MZa@iNjY(Z>u+
z!lf^tDyfqOH+Wfok5Ng1X9bHr(iYJAw&cFGO`Uu#7<LnmRB|EvMfvl38bot-YE-vt
zkaQ_*zkN<?lmDICC}RE$@FObC7UDF>w{&}M^?lVOe>%`#^!K$yHTSn8+6fxuo{tx$
zs&=cBQVDnDJXx%;{?g5%7<&!!*P#HnBXKHZ!`+y{t(UCeW+!XEsY#tI_Nbc~x~@pB
zX9|^~AGAW{rBfWneClLGtdG1{ggn`wB}&zlwMNOeH!^YJYGmcrqyOzZAww3PO=fmC
zwMNB6{^1kTD&!B7fU_E0;$)cj$hI<lYm5b(E5+PXChcQy=QN}Wl5K+yI~w?{k#=Z-
z-bzP_Y`7{m+MdfpZdsMLtNm&Pfno8wjRgv%!ru79)p6^{FvW{ayJD@7yi!mxD@q}a
zRIASKUr$dGDz_?`wXLu-dH?CL3v#5P)Ct4Y&>2EOB9@t>+7e7%R(&OtGGx@XuS3($
zLqzS}E6#$hmf)e8n#Q$AkxikFp65F%i5nH}-6|u%HF=g++dgs9ByOYb>#Q2up<!$(
z3<myNFaIM{Sd>h?Wz^Wt{DW4|CB4m`0Z?>cn!Ow<L{4pbeT_AHh{lNA5Eoe*vSY)C
z$JYsvB?aT%nv0{fXrH34G%E`TO{J>))$o$7RrOCkocc|>_G|OY0zY#UC+ciXIK@rc
z3aY7iUmmBK(0mAm6f>Mxe>N0e#!d?TcF!{o9;YSc_{E^s6xWL1Z?pDUN6P0DFEwI+
z(+2rBYA-XJ;<Ud3#rXg;8E^9@{u}EUjjG7Khq}=OL-b)DTVFGf!-KgFZ$(CFNx663
z@5LEI=EBEdeP=rIBb!cU#NaS3Bjr&dOP3L{x4+J)3tuMgGPPBN#17Idd{~BfwT#e^
z{z7?k!#wd!)2OtP(oc&hkw^}^Y=}*k@vRS1W{538HYcAFKWG`IV$5>`2H589@Jh9A
zis+uFO-QwL(Jm?!aBtpdfbqi;ZI3-Ch%ZEdP|nT{S}I@vMZL%RF#EOZS$5JGk$BG`
z_Z)94&309t{i3Ko9K2(67wJccSSyt;wj52g&y311Sg+{8>Eoub&cB0%YM|k-!uTp$
zo`0)X;<7HXS8}TT-1~{&S@k>TqRMFJopbaUPw3)5h0I)U?Owt;eVo5#<Q2`mMWR#t
zj}F!c9=u{)(oIkVMU1_-X45t|So5tM*1<p7Y@Y|kodn&DtP;BOXNW^9lJZ+7s4)EL
z^T*xlD-l;U?(FB3PpGBtIkg;2#ZA-pAoWe{gwNN6O@m{viINjX92Wm+qbTx>l<vDW
zVtF-LvcjDt?kFAbRlBMU)l-d`FXCDWyK9-=vl0~qeSmpGsF*ek*)wLo6}1pT|G1oH
ziE84cps#=0ZY`V<e-nRGqlGY?_tU-a+(5i8y8VE1Q4?7<nZvt(HWN%!C>}lenP@Iz
zPxODOfxzb;j)Hy7#L}j7x>EHmMD+I_=}n{R$iJmRHzU|WJeId_+@kY^U~wS7CMl@n
zPj#}cLqrSVDeR=x@wkIHw}YXZ>Z1nL11{wWQmsVZ!O7)~TRMqR<<geLN2(xydlvHj
zX(fgS?3*@nbQ20YnJ1fORWN?pJxP4BjZl0fS?qQ82f;J4!jf#Gf?VH7=}JmFQJ@rf
zoq?~9Sg7Jp*2qvs<hz?+mt#7JQIh<-x1yg|_oQp|^j{^gSlQn4Rrp41GHa^mzBNef
z&Uy2n{|+Stu(w!*%ytsZ64Vg(+rxyl(<|1#mx}Q0={aam-%T9!IsY!JeuO~AouxW)
zMfglKTTN1a5NEC}{Y#>b5l0sm(#0+-z)jV;^T?rIf^oL}ie}R|k<s|~M9C}#o?*|N
zf3)-wEK3F%@*NWdvv^G2{X-PYvVXEXc3^-g;?t^n9xz38o+&=s)+dj2qZW|TLxh-L
z^u}S8zr@(o`d`)_@=(7#cx;&MCsE`f#j;&smWV#i@MpG14r8jeJ1;4X5|_>nuuW*s
z6V%B9xrGCAV8125q5jMmp}Cup*EwpDSn#N_cN>=l{l_CwF?@fBOLH}9S;8yC#VAKs
zoR&pEVfHDB*$JZg!GkSH<EuoXS8!rAmn{4$rghd`nIfXOemb>9)01|$Hw0_v$-ptN
zzlPoBFA;ruHYEN(MpD|)aeIlC41Srp^kz_J39CmXI~cW?N&S7K!p&-F+-{|Qdtg6L
zEIpstqh-rV-tRirk|8P$zm1iQ4<9TN5}EU7<8s)@K|C{g7a|2)gMN*C+6oc7RqDF5
zDF+#GpJscYPZDv(clDIG=*ZSeYX*N|Zu0gxr}Y7MNzBfSlQZ||$&=@vOj*hBk_INf
z8fL~MpgAzI+1iVdbgW_bTGzuzwz1aebtFiDtElnNF?(iGs?S<hq)vdOyK(%-AzKN2
zF>hA24q_$$S*He+{t_am=UOBh6xZf0j)i=$V<VHKi&lfIM9HV)_fE6PNx=6-DMPt8
z2N_d4u~613PHH%1?l#&WfwQlEuQpk6lT4f$zm@Mxkr%=~hm@p9;BZ_`37<YM=@VYS
zKGiKlR=<hR3z3sVdS^yG>m(nUH~QYqF;0#o4kwh-O-Q0#u=C!r4goScKiW=WKZQI_
z4PpMnA&o_8FLTdvA@Z<_d(FI?BB>$FKTH3g48Dt$3T5ewk{{w72cym^lh;h!cW4^R
zLVTR}#^tBtWZ+@{vc3<h<S`kZa^k2Q+zTohvOT3p`GENvMI{Z=w|3`;TT}Ar`nWAv
zD_e%_FB#qcK1Yk(H&c~*yIuhbw|x9IXv>igZ*cx;6QPp-4%F`!=Tt_uoWX^GHhGfe
zCco9NhYq=g<wUp9dsR63?2epHP#`PH|Hkm$)+H@&CjMypseur#MVZ9CN@P&+c{8<2
zJ@Rd5K<G@ZHat_rjB2PV<cTYjdv?_6llSg<Z|)t^fzI^zBRZ^VWc~AJaoaKt$hp#&
z!$#KnxWJa=+_mN#*YpX+JrqN7zfxik?VBMo_jp-*Mre{<VWpP~9Sq5ZO2166J0|d?
zrSs)7Xp=1__I&604avdBN?f_;%(16Z-E1~bo18d(ecb~$15!U#W&W==(CWV5XFG*T
z?#sUGBBQ2HPHwG~(n_=h@kVxAeh`&BD-@rr9idCoOHZf8t@*}_d#ZD}SE-~#Zf)u&
ze<~?nt0Frvx#lyALrc5Y#=T6*ou}4ml20?vj=ygD51PdbOJ8}Y<ZMyG?DZC9vR(IO
z>-gafxcYF|F5s*-xp?$=R(QBP*+Ap}UGr%JOjdHFa)PwT(ibmERWC@8f7^^2M!s)=
z{NT$s-ZwPJ#FFkso_Bm?mX<^B;kO&$MqRj@bVQBhR2;2}?qwvEC7-^!<g)?BeRnRh
zimQ-0Tfbj)DCi@+#U_0}{r(SI?GJpyBSlhm;n<ETo(Wp7`2_tv*Z<&L5~`+5rI2xR
zhr>SFFu+oKXwv1aHCkGyM3qWpNhXz*n@X1J;pw$K%9+m^i3AaR;+YhguH_RXE6oFU
z)!x^uepWczUV6PmMvRn>q?G-#;luV>W{$=ROE^u28=PqoB=fwFh|UuHxDcDR>6Wr3
zI_@7%7i#7uiQkf$u}=iB)PFu~=_VjxGVm?Rl7l?8+kt#zAP5_e`iEE70XeF9Q|%GV
z<b<!%izmkfF&5A>pTR+cgi6eG_4|K>a$cH5(@8;$mVK5l5w*bbh17xL`O`#}UR?s$
zUO}YH^rl%Fnj^ou<Cp#ZenKQpvHXmNAau#ZyH)$m5OGAh<uc;~;v9ebr=N2I;4s$U
zAH8J?0lq{R8s~Rf>$go2KIH-sR{X-WbHD_~hc73M^o`N#4sQ(WP7}a27RR?;`X+cf
z_PtoJ|1Yg#BK~Ul83DK&3O1a*Zj7r(o4;&*x=3rRt1{#`E&z4v4vzz~Mv%C*Iw(7_
zN^=#O`{%H>zA?&i?~naPXsin|Qr*h{K2zyWmbV4)^<?ypfUkzQdb@62N*oi;Esppb
zwhO?zQ0RG%vmsvZd1hOZ%7RQefkY`4LClcRA{#ml5FBFn(&EB8MBM*$=tiO-Vz-}|
zqZ~9q^|~nWb<XQyn(5IoBPs;%XHU!Y7WL7PwiIG7!hu2=k6lr3gkZvH@i;tD9~+w4
zUOi~yMD^%t_x;C(vFZDJE+GSboS!s~WQpR2v_zEX-Hjrc?Cw+7>(PT^_RP}3TRdQ(
zQkKmOM3GoHl_8p-2R;`|o8#fUi0BKtu1*s}9p%KZ#AZD#u-&xkaOZ>JH%hggmpDqD
z1f%Y+*F#$`VV$s<A2Q_!hW+kH;9<t=G5t1O#FrBL+{^{=a-v63W>yjdlt-_2<?F(G
zu=ruEsUTFUHM#n{rNRC~@#d4ux(Je3U#4v%gaKj7+wl+?Y-BWGoDS5*&!3&|^4)|H
zmisRKgpDkYG5Um$c(3iBTtgAQAc99sPVKK{<nW>5LF=J|x`0T^U!fvV+#Q^h%w>{?
zR(wd|-Vj|>9<x5ZydZ|ZM#*Ab6Y?O2s*gOrsSCT~cZ@%6mB3%oZ0Y2F3bN-0QyfWM
zxU;)G<t>oJjsdN^8Q&BT^vPqwbVU~#o3o-g#iVg~XiJb@iz0R?Gh1)os)q{g0Y&{S
zGT{I5L|wc_2^6k<j#iKKu(gQEJ(oikosPF$PrOqGzrsq-2T6S}1k{U&waDVR4d1ic
zdn(8{l=W6QTOUliiIH@fa_DQFE)We@MRE6u9cN7quv_@KfWNmq3ip)xwpyscu3^XN
z{X+&w+IB{dTZ4kvt?xy+eyYJ|m)GZ+dxnUN#~qsq3M_O7ZL<T_v1{c|>f576$dr|x
z6D&}`V)>arVa@7bYe}z*-C_)Wz4#zwH$}WTrJ&KossSgPQS%$xCQ#a!bHRvC3770>
zuBq%Am`a%8HI*{Osz6~y#C0V+`#Cbx`BfcL*E7!9aht)|{7?1eH7<$gH`qz8oqOJO
zu#;ug4EMdf!>0n3k@-H|s<2)S-L18!%zv7r;AcuVQLGFJo%#bK)2iS+^x<1hg$05v
z7=%vrDWkD<>%^`h74+8*S#aK<A$MopB5h0=j5ozTrae@~N7B91nF8o@9SoFhQ-;(n
zmsqV$N@x@-=6V$bR5z9`&1WjZYPs1<uu1{9gAC;_KL?IoToSzTpEBHbCUaTnQIMWu
zUj42QFisxhy;ZM-<%Nx6%gJ)6F{3kRWw6AHrxb<^6D5qP?bGsGl)>joCh0ytOW2Gt
zC%=zV#AK{pc2T1gWV!cuo#MB|$1lEOrEA>Yamr(IqCp%EOMw7PK(oJ#S<IH03(Gn8
zWQl^$QqHuxRS|TaX50686wr1p_idD*;Gc)^6NdmH?4WdnXp{qYPK5RE)|ZEgrr2wm
zxB$ko?VT&va(HP|ZI;(&Ib^I$YqR9x!$oGPAVpUowW~Mr)m~WyHSG0p*v13uopGrF
zap1Vo$!a1<2A72|4!LD=BA1v}nt4n^Z4V<Sy`(hGY)DtCQDBEmLDG>>DH?tm%djwc
zOJe^M!}>UNHthT;%6BK)0y#<S)MsVlcu^g+P@Bh!AFVj)_QxEas~zTc24eWQ|Bq46
z6&9p*g$z47nPVF-scBasg0sQyd<?bBI5oK~{7bPJe(uR2d;*1Gb+2yug9kJ6z8ba9
zN}7Rgsi@$Akq|thUDoflV20Pjh{(8$rs&Yw!IdT@h>Rdb%9tB7!tPGZZ2E12;!m6X
zw#W(KI%|-1>T70jTMhg!a4~@y-$3XIYko-ioSR9rWWhX#Y$B!77@to{v&Tg8VefyK
zrY*4GuAX%)ld&=M9mnJ9I(ZSz+uJ?R!HR@K>TTB_8^NgMor;?SFI4FrgL}Hx!IZTp
zi$&Q8k20Jbw)XO%Yv#zOBMj^DVRptgIoA;Xc2_cF#qhu_Qr;tHBRiTTw<QNE86tJo
zfecvt59Y$g54MjuKwS1SFE2DeX}&~EwE_>El~TmJ)w#g$*+MHbGJxnw8rz^C57u31
zf9O)j4gcx<qVy_#v}%sXGfD8^cSnV|R0R)QVn(k-yXhl+ph)AAArJaEoJ)&d@ZxS+
z;Z)U}9<)u|dxsA4U{md)UdnSm=zQU(zn8L>^Oe?{i2@#Yh#s2^|G<xwlC{b;*Ta?@
zhhA1N^TI>m?ML&0H4Yv%w(uFz#j0a(ZCwyAx|a8ae-shI%aC=;yqUTXxSH2eHq8s(
ze3!|2Phlv}*Cu@1sf%AF8$=#P^Fg|GNv!<62+FN}pIZy-!o{UJ;trJ`O<&aC&ufXH
zDVvVJ?}rZZPp#_Ijq^id&n~+y#p396u<G3VLI)ZT-)nl40x&z{aNTs5BnYm$`6KZ<
zSUxCKlAR}ry~$lc?3~j0ap$7+&tM&-n5#v;&k{nnY@AzTfD9(rb2t<p)WLJfR?g06
z!ti}mA+GB#3mJ)9Pl~;DAha#}AxFCi!d)3|%IsO=NMDnK$T1!CCjK-s=M_U$eehJ_
zS|9i(eCNAgF*-OQY`rY!DGr9N$n2=Y6i7a2z2@;!2UDcBk>*DU*th1rYK~Mu7ghC7
z-nb6vw3{9U8%sg?OGm4Ex+18%WHqNubaCNrl|ojTG=wTnF-5&lTFVD@2CsBoq-|?<
z9x0GP^iX@hK#ekXMKrL_aq5BTc2aERIa!F@U;e)1s|tKJDH)$h)`PoEV}8pnIpnt7
z-Z<W=3Y#N^g2(mrF(zlq&8I7mQ<hQlUuxBmVPJaZ_pm+!W{2#=xhc@rk27_;r;g-R
z!RFAXYrfGQY$Y;6flu3odQBG%+;vO7zYuE(g*mUQAKxorcKgNFi9rpRnEH_M;YQG@
zH=+bxQAEE=DVzC!n#kh`Ry-GGjIMvY5tOz3y(ZUx$233_lNo0k<u90^i}8z9){GJ|
z1{uBxyJ*5Gs^RG0o2Dqxoo`LMrVQuLZT~JZYGT8ch|8&YX3)>BUTSAo!MX9la`ONU
z$gOB73%oLi)E1?!K>;dYz2%gC_=Y+@uU746dt-qQrjdh;1u96;exE%Zs)lzO`m7uU
zG)&LMed()IL2NAJk3faB_c37JNB1A#JLp!py;KD^vc)(=?<#|NGI_o<8@MFz#hVtV
z0;LFf8JlTEd}pV5@J_Gg@E;aBEn^k@&3gN?T~z^isMZ&tz2?bcbt2h>GB|HJtPgaQ
zM^)Xwv#Wb7VR9)nC5fVpWxMj4+%Q>K_#M0aJjfDxc@4i4{FM+iGQKTphcsI2`~xLJ
zEwR(%_0RTHMWlJ>uiyAp9L?Hx*Zl)5@wk&CMeW&IJw56UOh^@hSCo#Lv4bTNEOnCO
z-cVrWJ9kR^mLOhc`9BF*^LFu-<MixB@+f_M$@S$QK4`V6j`92j!o<7{&pnodLei@b
z4-<KC)$#cU-Pb@FTc!1h99jH68Wq1$j1!d;^o6y7K)A`|#??$2$g%XQJ$TFpeePHD
zIcwK8JhQXk)leGQPGNtdyIIh*!Z}^A_RdCak5v|JBw-h)5;u3736=VM9%1Wf7#A6S
z{p7GXDiq@=n*9t&q!0W(?P-CY&n`ZuPej4PWgBwi7CnS_#GL(GWR8ZXW?Fl=L=c@@
z6MK%NLs#D5_em~uC`$_b>x&hF)~mXZP76BZmoz1FA2h?;gXjAO)dcZ2$F}|~2OTa;
zhiR&pnc|2>ze(LMe(2agxD+f!hwSiA+2fL?C^`02I<$@tUd_3Jvi@}F*kK;qe8vR(
zln#E|SI-NDoH1AHQ96u&J`kbPYm8sddG9~}&4a4o8is{LdK~nn)!1(`#`+~z*S+dI
zFdX%}|G=98Is3GaxxX+%v<&B6R~~M#h5E_<+QkUIIJ>q8IU_7ilQvbWoDjDDDjn#{
zgs<;D3Vum4M6B@5sbdsQoNs3g?oDKdQ`h&ip`3<zxm}98E1Ux#F5G<bsgnhsyLKBz
zUNOLB2VcJeMh<-ECOHn7twV$NGw=254bUIor~l>+J62d~+=$m~U=F_BryZ{k^Opxh
z`7_zU#QBF}yOkZ>AACy%MfK5gd~z>WK08iI8T=Mr;(-3nk?TG8^>Af?h3>x|c0AgW
z@g%;I3&(p*KD{&5!?IEef2uhLUL1D~qwVHF#jxr3o>pC$ahbg_`p5wnHR<#fcV1)+
zuT;ex*F_-r@h`WIaw4*E2b)?5AIuMacV!XL#n(NVe3z}b;9jP(mGv$^PI)qQJouo4
zPf2-c^QPPwSty$P@m&DiriS;v9M?f+afXw)CJ*XqEY_S<A@o{37hzJ@!KB^3v7XO7
z`0}ozxI0}KWna{<7X6~)y>I5yy(_#>tLyGalMsdQci(MSUr;el+mqG2lMnhD*E$Xs
ziNW&3%|@+@R9t#D-ZEyuk3Gcn5t{%Bcp2xuJM2!yeG~eoPz?cyWGzwuno7aW$E8)t
znu>tBVBuBcwLW$q{h<JU8Ki8?j@heAMU-{J>(#wNXj416{e+M#mUjovC~8yjhi&!T
zP_i&m^!V+|6y-4BW!_zCLdAZ1#i8Y45j?$Ao0wxQj}DcSCr&z1@u@3cdAGe7()Duf
z7yT(9Yty7k&QcK*f8|O|qd3GJ&L!~NRzUGR+Q;?ps5q69?DJvG({36th{U!l!bf_t
zdUU-Gj>d$ToA63w_+$C$ZGy^(8O@~saa0E{{GCI#`pUp1Fv{1#Q3Zm&lW8u$bkHbZ
zI9F~j3p4h|_1Uqi@OL~KmUMQl4-#}63xyo6XI}qi^G*%5x2Mm?s_H>1<ra_onwO?t
zGCHl_p^kdjxxVs0dZ3$p8#bs;!I2}cgo8RYP!YjutJ$EBCS$98lky5^ytnJDW{D;o
zj23ie$_>y!KSJLuqzJaf;2hp#TF5_l+-Fy_A>=bP|81dH0&T<T-rEye=x{zPd3M?e
zl(41J>~1A=9B{hcBchEK_0KQ%Q%um5p<7p;uZ*M*cV6fUX=D4O%g#CvQz&j@r|x%C
zL5#`7VTW&85S_FLce!JRq%)f$jQ^_OgZtH-mxfwMH%LG5y3-tC#%F}L`Kh8UM35Y|
z)`Y)<k;Y#R8cdd)`Sprb;r+6>wTWH>_0B@^Cj|kYu5E`7eOJX|)G|NE8h6TWdq)3C
z2GWu^cV7LX3f(&wcD;G3g1eV)SGuxV;)<akeat;oNNHJJ|6RP+r`WUPF799B#iY}x
zdP`Nf9p0SXdPf1LwI1whe`tyB+1d=f*D9F&;I{pCusj}Jf2y|d%@Tz_C)gGlRA9CA
zh_YvkEEdyT{Jj2J;`)H%!6<cQ^e3@dH0_qc%Ft-V(wrqE`m-DrjFj;Gee_*ZC$Tkr
zW&a8ow#4}0M+Z_(5eJHWs(e$0z_BtVK2mOp>PXX`^PCE6{&04TU4Jb{-vyS;-LS-s
zlqXp?`sES2VVp%-mj}-+o7-tlme^wU{8-%!If!Yn3P@|PW9nbRdslW#_$oy-C0vk2
z>7(X~{qI@euRWet^cL{A`ceGuE*TguX~sx$Gh#OT%=7RAz)rEAKkU9z$fI{p+$%_j
z_cB|yM6L%sY2OVgMiO}bU_x0WVu_ZUE4T0NUK-qY7IhU-#K2LjyLozXj;4OcR&T>S
z3*?=*cgUoQ;OZrNh@YIHW$GDCejPT4X8iQSqx*#LAm7B__wzK3^}OtxMon|9OM3d8
zd?kQ=jLv~8Kc{G2KA%79g_<GSiF7d5;)m;x09)R>Q#5`d+ecO9rs(>r9$&S_3!9hk
z`Sx^8(c}*}wr~oXVmpJcc1;2g!es1RwJ%T84i&W9?DjLkX;1UGo#R{}{Z&szT>DEa
zE>ULeDKo|aX(b-+RgN_eX^TkjnW4qM;-V{&GRD><!uzH@I}%(~kBtY;(W0Zw`d7{w
zq3NrxS$Gc{jwn_~mKrY5_Fmjy|6tG%(-#7EZ+);1>qfgH8`PI*ax04W-fcI;{{R30
z|Nj)1cRbbq7sszXviBzQUamXs^*Qb>QPMCft0<dFXi!w7r81&I8c0MWE6L|WR_2$K
z5sHLRb~Zo1f6wE*AMf`$=Y7t3Jr%k|<rA{FAoGE^n)se|ByQA0m0qa_V#bQ+*?T!5
zB|~-RnR}ZEq56OhA5{-*{gN2bCY+FJH~m+44F@N$-#WGPr7l?RtohHpnFEe`*Y90s
zutM&@N6#NBx?tUZ`%!K*2ebt#NIXbogZ90QxS@0%APup-y6eLMGVP-`@Vp!l*sCS)
zfY$+~mIDc#K^&0o=vZiYhZ7v!plJ6SI<yvIdu~7DfOtau;5!X&(1{wi_-aN6%a;AA
zlXDypO8Q*=_Zttm2wa#DZ>PbY*Aj;g`f$R?tXQf~?lxe}_39&e(}1cmS7gM(1+B>o
zN*gKsko(`Ww0-O}kl+g8KL4Hz+WS*1%ku;w4zoS<CX))%*pE@|hujdq*l2!gRtQqq
zMh`u*rov@cp}v*}Jn*A#yv<ix1co{P{Bm5Tz~zX%yQ1%Tp~ywDG0|HTw#gMUkK|Io
z>R`4jj*Sm~)$<an>cl{|qH&GKlLDpPM%rIb^TUtdK`m8g5>VcZoLf|<0Pl@(MPW`s
zur)7p@am9+J9yT+*T0itI?ZB@>@Eb+ioOP?Bc&m9=TOL@t7P~xba!`)gD?d3-M0v}
zm4((fztzPI$nb`jveN4&0!7rIFMpZxz<z4yonlrp2(7c<af}j$!dDkg{kB&G=ht=C
z7l%oZzQkPFjf#P))d)9VtrAp3f3aEoPJ;eX?(9@i2@qHa`(rh|9dwWNc5y9{z`kR^
zNBOEGG;v@_hlwiiP2`L6Pcj*jIIRZ4w@JhAm44>&^Qz!HM%5C!O$IZo=t}+q83<LK
z8Jq7=15Gz%KA)2U+Gn*Q8cxYU{Yr{!hoJ^^SiJjv(uD%y5B9RE?^Xc&33uW4Y&=92
z8;E>sq5!LQ<%<;sCCKoskk3`ngpcHob6j>*c=0o;|B>o;2p<a&`4+DQlr*2@u|+D_
z+?1a<rK1c9x8ikAZ4$vs@Ma$Q9SyEn&tLbjR)MR3TzNN~NRaaJ(SNd!=%CjpF;L>8
z3Kd-R_s`PEa6|v~4fBUOurJ<X```^Vka)THk<XO^Vn@!o>@LxT=2V`gq)c_Fvj6GM
z+erZ#SHqHm89gX?UJ;L$Yru)qlhxgtR0wFtw}tOA0G2c5X;Ia9P#df0mv*MY#U|xY
znYV_Z)KR;3ri1{^Z<U0W-L~HC>6}R*83Sc?aHHU!Cj3m!OfA-@f(P3*m(&6iFrN5Z
zyL*=w>?=92O{bRvjx9wBqZBh}HxMMof7Jr%g@gK$mK1Q~xW*oofxvH{n?1MniEu}W
zBjO_WR$QLq-b$ANLUssv9Q7bVL(GR<UlnbLZTNn@Th1H|!rtb6a3;bIPmS!9DNTrN
z>im$KZVvq_1LI^lB5=nXSJaBYLuu6T&0!%1AaQwLnHgGOSazaAV^j??FaM$lxHBMd
z$-Cjsq9)W6iidxgs=(gVgABDK2AnzYr8GijtA2-0R4Y7Ef+uyFUa@%$h!%MnFC$6-
z0^K)7R9X(qD(*@wXEPw#&){a%m<EtdbA?CuOF}_)Zz$(o26%1{9Ey9c4h#Cvznaa8
zfSRoV%I(5{gQpkeY^>BEDYf;sp^N|wR$4?pmtnw>pmki_unJ%qe|yFbazT#zuja5u
zbKuHa%E<~-26o$jCnIB7pf>o$JC4)lP-n4lQ(SyIaOzhU|43Lye%_L9J|JKY>Xn=O
zzxgY|^LLq%T75H!<w;Y%wJZR+<;OLV4RT-?gOGnGk0NSb&7G<Uz_DK+r7d^Jz#&E$
zHrCaLod5lmI+=rP{ljbjynjhT8JEe0G_f|McH&Cg(QY#!iyAbZ$rp!#URKw6sdD78
zn3i%Nw;8af?Rb1PLlm%=oN^8tafn^^4-Y33Q^*c&e``@I4C4vM19`7LKx267tH**(
zAi;_hS|}_8X1RLh`)iWXm*n*7yM@LuwlmS?k}yADHoX$*@dz3cb9Y<xf)Uh?eE*Yw
zfEO&<{b<EUULr4T6!!F+8bKx}-@o<mT%f9&*fY~rfkfKTORwKHg!${M8Q)4d;NqE6
zF?UZiAOivdbzTDo5L1#k7tqNDjAs8o!wv1ojNe?lgWi^1I4ZM(!U{cO?p|qaT}bxR
zNqfx%eZY}~b9(A=;Q3MY#bJ#Bgg*4gxpZC+R?nWly+PPSHlmiwNG?Ojd?9~&r=uQ(
zciic=)>ubM9@Z}SeE5Z=Wcs%{)#}2|-^Pe`#47Sm-72G)@*C-T{hnV_M;BniP;8K}
zf*99iC&-peB1i$<K`BcIyc4iCZ>43V?Bj*flN!^AuVad@ih>R#{dd*nmh%$wrur)@
z_vQ?udn>Tv|MTH$JXd5#_aYK!V9BdCJcsO)XSuf^Nr&5y7T(6kE+XMU6U4%v1w@wh
zLcr5x8c5SGpYDrTM1D5*c&PqdM7kCeo(gWKL0y)wcv$)(lAz#v#*2LgX~^~EFnUD=
z_IRGI$)!c)aEe=OyZIVoB6MJ<j3E`2n<mdYg)brD$MqLwpKc)acN^vN8!2EcH%LvS
zEh9HSCOjp_;{f+PuzvL@1;+Y#1v$l65NY+9Xr6Hvkm{dX7n&sl>jkP%q1r04aDGwx
zh9esYiphG{X_4XWc4=jb#~R{wec@E&2s`joy=ozV1i`s7JTE%e5n<Xf7PWXzs1@ro
zEGyB5Z`tyuwIQ1bIat3~^%yr)u&pMY<<<rzw8!>DCJua0v;K~=<Aqc7O{ZRWBCy_9
zjyHV80`W0t_=AG@Kp!31<yfZ$qQY~#xLR3Z{(P*nK$QTz315i6N!Nnsq<gW&g6z;D
z_=9`lsSup&eKsohYHJSmkZez#;Q+z)1e(XXFbpX8>P%~Ef}O^;#Ai#KAS7~&=x|;X
z#&;b)&HsS_Zd3h)l?-lJ>tc$!iitz(xRP(t5dutk1lfCp^1>Bvo+0H<3FzlYC_2tT
zfVn5h?K~IxKn+W6wJDc^Gc09gLsfX#R{SH1ktYD$W7L?4Pck64AUkXwhlg+PFGM!p
z5Q5q|@l6uDJUl-*-7J3=4_^Kj69>KugOsXTTEf<xc(sZyn+D+_MMOW4-&_>_s1_L*
zvu=kpjp}!TF?gsy=i%DeC<f=kjuOK?m0_3oqC!{=9_~6GGB*y9fPg$J0m@Gmn14T=
zyQoBfb!d_OVJ-!JMJfR;=hWcanaZrV7X*-#yMJ$#Dg(Gdvd@~b22|<QN{=~ef@}VI
z1DAyy6zUZ9S`XpjS66<P;tnk^GJV2f6RrR}ho+kTzR?7w-g)g>ZzAkY)?1nJR|3&r
z2DjZ}h+w41C6wHz4J+{u!5*)+LjW;LUCEaO7{kJe89@eNf(&2%k}|~hWqr+7qCm6l
z760){3e>uty>jlLD$JWA+|8_1aN>KiLwbw~n_~Jy4Ml43azE71ex|~t&C2d{6FQg$
z*3)`qG(akM;fdpI8cce17~iPSfpWES-1%@k3`y_AnJUtu<YS6PtA`%cJnG?6>?VM#
zlUp?7+Sd8zqI;Wk1IS2WSLIUFf|5PT#<aI|NNo!rs8Te76Av#1xLXmyt=-P!+Y>r;
zGs>?$RWJcP+nm}eYi)RPGcTC1gAQ5QQ)Dd_Gsy7T_ThyB3ADn^;~|v>&1x}=r~trC
z+o1}hViHKJAj~r_sUUypLx9=_fcVcVb23}|RY?S&(-A;{*z1|I;$7zO$B?n6C`^Wu
zspZm(liHBTMG1Zt$AFr7&)aM*B-kka;u82o6a1K2R*4!+=uRqRZ!jhSDS&^wi-ZQ)
z%Ep_#yU&CT<&XDUk7<Ko;wP;qAu2%SPw%+Z#e~k=jEhMOBHUmvy`xg42zH$n2|P1Q
zkV~1FBadsswQ8}YhDj+1Jt}g=Z<q-q-HA&V+z9{$yEO`)h`_(kIbF9(m|#hf7qTkV
z0Ls12P0uABSSztx&<|k3M8jI%{dqNDkt)*f(!@cuwCnOc0VdRDoqbrXrV2K`^Ruqe
zQ;2M&O!Dcc3{Xp>*(=y9Lj!WzAXd5xX*neIR~*lP`m2>PS8gl816`?lt;>U`dvs0n
z&unve@?V6F%~N@3qFgU`pv<6W1G3}o2<GrCvWa4UKnB|Nf**=rSwt0g|1xIF22k=9
zuc6Z<L7PT28sb_*(_Sbt>ofuKd`C^dQVhm#`j)LqY@+&iUfjqyiU4*fEiWKxYd;>7
z9v;7l!y<V#v)%`qfmZtz!_Qa%PL{Lezgos&-^}cLqhd^<rS`_H^>QBQP2=H8Rbasq
zg_JrdTe|C=TLbUEtS#QTd^KB?odtVXdnYNm&lvt(bU8A=#sb^;gFot3;xIk~y0ee4
zF_d<?enLIhk+G=mSDr37tfP5z9&cj=O`8JICD#{`^qYrL!}~YU`2EMy9ODh)VT%%{
z`QBONp?+CBVR-|!Ih{KZ(Qg2+Z@JP`_e~&dQ%5^K%Wt4>&8CiQCmVpBxl@Xuz)xg7
zEo)clp><UBo6wi`Xnn}(;d}f$unVcZ^jjKNu!c&q7?CN%da!wixBEd;4dRnOuNA1h
zhBC>cyGJeb;B@j49`DHn^m1#)<>}5<R8@NC)x6ib5McVUC(NZDJ#YwlzMj2`I(%z=
z#gx?rzJc#&4@iGOcT4_>63bsj8H;_ZK`}aT;`MnuuAF}K{tzKx^VceR!*KtE5UUQn
zi3+gvuNgv(bEvyz_OGECmORGuVRR@Kys%p*U<4iQo~XU~cMW~r+N`v(ywzt>_IR})
zztKcHTT$=ob+q3PpDuQh29+1@Nn{cKpnKUKTK;a{K*IxS)l^t%py_jn5ki?pv+{!d
zD!6c%>G5DSnHVZW6ce3zYG+XE&{Gv-wK(ia`UT}FX)4$?RqIk5=g|D#T`t_uS+KsE
zy3*8F6zIUMP2?@iqk818*N#7C#d=Gk29(Vy@Ybfea3l2}%JpLH&eeBp*tx8x3V~uW
zq|xVteeIXfE7d!1(U;h<BS$%Va;Hcjan$9ur0NP<{XUN8o)ag=>hWjMf<^*9(yl9V
z0&D2<6I5{R7Z(=l-f~myk~VmSYIVg*ZJ=#^Cl1h)c`y#2J3`0)BSNB{x08)34m(%>
zG}%0C8@6g;LAgaF!hcO!)gKSAVDa2fwQt7oWA2=JPW)TkQ~1m_+5G`4#vM3bUDYm#
z8Oe=Mud--C+vsf(mL)a}(^hi`(-6k4kH5{#2-Ae(DXFZavmBVnr$8O^C=u+QdH|Or
zize8Nc&lu|F=i85>k`Q#hV4;T*jAQ6fV(bE){I_mEI&7fz2KQRcKh}FK|UP<oNB-|
z@z(KTrgpwMR$h`=MG5QKv7dNIGGMfm`uVVDClaV#cG4L2-lKN)OgtQ^60P@C5yXCT
zEct)&m&Fe9Cnv97z=MU^TYhG%5aw)vU3vIM9@~i9abe>G9^Avjx9O{kVA9_w3lc??
zu*QzN>;^t~F!~;*dMQN|<KJIb6MJGicCP3{4Cxjgq-W~<X3651xK`_!cAGL5;_F*7
z)3mjJ^H~n>|0RL#R(O`{dQcVn-accaLMK3t$)gO>4^r5&hJ>isA2p0QF)y%MLx40l
zTBTE&47So)(4CQ{f$dP(FVDEH2~P`;UaIPn!<5|AgRPGfutAyE(u~VmaBhvMq$;b3
z<-{O0a{5}Bq|y%i=OtSlMVOl_#+0z2L;bt>#I&)+Yv;ZasU#rSN$uUvu8ch&+qkzd
zL&8G!UTqKlM}}wIA3hD*t6;NC6+`vo6bzX^5J}*q!l1NXlIUAijO)KoiVNmc?Bw%5
zpPm}iVA`vkr%X~E>uy-0T;-=>H6a`hXeu4HjYYe}hihO>jhEsJD`;5K?x_M^f-YDO
z<Qx|s#ACtQlR}qw(y^oUeb!_BdT`%Sy30mi6Z^(Vk-qqtj=inUpH?U_fC^sA4DIt;
zn8mp8o!D|ZrbhH`IG1e%Si4{5lSf2M>XJgyQUV=2qd=%i%{76c%)uqeIBl%S`#+M4
z3LSgmC5Rk+V+LvBUncN&Buu53_-fLFhRr8Z`QvN>F4*>bVfK(PGe5-F)P;)ezj&$K
z)XW^{*7X(FrN~%hdA~d+NWp|;%$20Jcr##iqbib*jD@$ZI#Y$Uv17c($L>}!Kq_{K
z&{jyo`kz$>rsNT@k(jSR-PTO#|H0?u%tyj3MtH-Tw(_)RJ=pQaYbKoP5Y#*;uZ>wZ
z&MzMcR>qt+vEEO=m=L97;Nbs93oD3fjcRL>$4cmao4e+j@Qb-Gd;FRvCh)@1V856o
z*5d0W`>~%1)9Ak;-B~=Axl7HhWl9K}S+KJ^lf?x6_>`bMW*XR&LJ_a#B~C1wbGYQ-
zAtvzHEE$TQRl{Dip6L6ex{A_%&v8f2F@QUi!wbz&!OYe=PUEUa(7|ZW{;DesD3CVj
zH|gAtja7LlpUo&mn#;I7B)J$c`1pj{8lMuzzU`TCx9uqMIqDQ^&UJJ6@=xC(_LUr_
znajTVCTtG*RWtdcnA03`xL(aY@RG*PRvllj-LZ@WEvl`hMgzR{yI<{UFM(x=w3((k
zt|O^r2@?(;0M<x_nQIqBF>?NUe_<{hoDldKvLugyd+c9rudhPbZo}B~?wvUJaIrE=
zmu3dTcir9ByZNx;>~M#hx-5YIv}e(3pD8@VzpHo}!i{~&$Sx#Wut3>k+;z(k6A1p;
z=NBE$j{OnrT?><EfuP@+PRr@W5EeiQ8~lUA)ZJCRV_I<#ac<<&Qm+y8Ja+9*yReEb
zbYxVwdE=n<=$u-!v=Kb9ceB4$zkn*#2wu>b*+lAW5-aA88iF~`-hsyAX>`Z_mhg3f
zO@udd)q5t_00hRH-35Hc&@1VDz-_dFG>DtL+=nxOd6f-G2k#%KN>CH|(WQ0dfm)|Z
z#u0ruW&3d7`=kz(>)xT?Dno0?ITwMF*fKphc7I$uGPe}vEwYEcfHfqHq_X#;oE|iX
zv(8_9QjDBV7kz4?wuWTvThv^*rVHB4w?}gDZAf5LCF{9uYsl4&_^#h`IzYpF2qrdk
zBme1Fa(`Cd@+akN1bFH|r;NnE^anqXMZG)kR{gi`T~~B+=%<4R(_FRb+%Pg|^35KZ
z_&>KL*MuLYLv@R%RiVTf(qHoO)W@`SWS6I(&!;XL+-j8SZi$*e0@Iur`8PI@C$rNA
z3Qja|%e$Ij(*74w*}sF^CTA0Q^;bN?cZdoNJ2bv6vCkmnz%H-Et2lVH`*;4+04m&n
z=Jt2$@hoyiJ|re#FAFfNzqpmHQDBxUbRf=f9=ZHG_N9eBE95;m6!Q8W1%jBzHk0}n
z5V}(#hmbiN!0APwYw8q;9FrUfxwnY47(KL0@Mni_lXca%uae<9BP;K$-7-@0zGUV7
zdk$DKSkBx)N$_F&;rd$YDl!t|9$7`<f-D2s(KrqgnCVDrUn8y~&xzM}X|-~LmgG$C
zHCt`)woTaVv)V*X+h*_loWu*35B<_eIYiKQ&+xlej{}}k4eqf!d@%G^R)3j?2yJ0M
z=1Os_aFxCO(4P_kc$qMY1q5k<^J%M}HnwbV?ZEl${#!yY`~5hN?x-f*TP$dyRI_jK
zpkt0{moNkb&?n?QHDP~?#2e53oFF({JoO(#6pVIWt5KODz^|K{?usnj@NGEWbhb?l
zbOrNfLv9kl|7qmOH(fkXQok%BenkRCy%IeyQwR|Jtq7OWwGDh-sFvl2rQpcWl=H$U
z9<rt15F^+HAVV^6;ph<=Q08XpcE7<x+sv`Qf>a@h;ynO<*W}=N0b+GC77r3PM)L`w
z!jS%A&7JqV0&qSM4)2J@g8{{p82ViV8lTEs;4D&tD?U*I^AGTVC~q)+xr;$n&u77I
zA!S&+^02I+9uMlGZaZ{2C4kHw!5~GeK;zma_QNs+u&;>P$<ZVU_ZLd9WQ(eS<?i*$
z=KBONxvTpoqfi>uPTbh5Ql<_(>BQwI6HPd{{OjB72U$2n>R}BG+~Q{;`-uoiEwB{F
z0;zxGf%G`>v)q<n92b*adrRja4LN}$ib|04ps`Rwln5v1)*Z~QXv1-F&prH(+hKdB
z|6aE#Z3z2RT7FcX41BpC2BOoIVPEw?Ky^JC;`~FpJt8S!CUviHc3A}|w<GE14HWos
z?+3s0Gb*r--0_$^q6UM*RW~yqQ{mFDgM)j<X^@=yRPa}&I^f9$qmQ@xq`X12?2)Su
zM154R<xs%`o5jhSnM*X-U`=-ayrv69aVB%h5d_eERy-T+O9w}uysyM6eF&?Ux&NtA
z6If?{ajd?egK-O4Lom}2*n`5XPOWLd$?mVSkr{M&qImsMXPPne+7W}Ad9<Of?Y-MM
zCpygjo3(0tW(uZvQcK;(wBaB1-hfO!4fuo2VoK8xc<ekbqji@A9}ls`W{zydv+IPi
zMKyrb?!gBxvm~H#qF<&zP@t^0eBbm_a~R0JYi=yCl_v%ATdP+j(ECuNWN@4TY`o6W
zmHi}m{8ptdGDHh>6Cdn%Wo1H073(YEV<h-t?3XIMssRI+EcX>%V1iols$b;;ZP=gV
zZ~gVCDqLv49m!SC1hRZeP53P$tZV9$<Li|`eT~ncWSj{dfme_k(1OEqhn@8^WuSZS
z5#5ucOql=KZ_H9l0Gl5Xm)`4%!Lh^;?w3_exGTyx^;sDYN+V70vOn_ytFg=4dN>ox
zt;PB%p6XDs{B<TfhZXdzhS@HwF#(^uGMkyK3YQsz2F+aai0FY~AI0|!*k`T&v93`W
zoDbDTH8*`l)*j@oneSx4p2x=58#a|78Mkg-;@X8e-#IvSxxpOHTuHNfbX5UvTUi=j
zD*uBPxzPUJwKRv&11#a0nzC@#Qhib~e*t|s;3;a-03fKZlN*PV0<ODL`%XSzLH`C=
zs@|~zxFwUUag<ja&ilKw9^&0V-<ZwrdY6I#x=7=^zefb@G$f|yq;c4%bEQh_ugu`o
zK}m&Ow*^77VP_X-Ar3pagH^w##uVzJXD_~*=7ovF*P3l7aF|@~`8<~q6Htln*|4eM
zgq`u1bKpA;!@awjUnXP%qjtw6frSmk+iYDYpKsY$X6tV-jiI5rvfYcZiD=vh&xgBk
z*g>t?&|~37;N<=0+lJvX5*_;UlSRoUdU5{X=Z}~n%y*(bvpsXjC-&F={Oud)snZo1
zI=qHpA+>$4l-gh9zvLTykEhqs<B}vfBS!-e%-1_;^YRzs!?QO*P<b6q2$owsQJ@cE
zH^>!|W_`#5TdK&8Q){RN_t7&4`1E1sa3Jw)K?^b*lE`)Q`zm_=1s|3bpa*;+A(H`S
zS;)|n&*r4_t7vbNK#FXqF7O`LQ@bdOqB=|F);QBuRQb(@n;)VJq5nP*>yNjiUQv?`
z`IJ@ExYY=EG+zhQ318=Evc2fZ#abf``&Cpe^La;|iVmdSNuB=9JBViPm?&z0wThMn
z*`<eW>Ex#2k%wUw!{}wB6Xl({YpB`7OHGHR>7ZlZSazH~hI(FKKaR|=p*K<wU)`BZ
z1M7RAH}^zLpxB<BS(LGL)Oq8%lcpjKoV{K`%Im*qTI~nde<GWx=ZMk5LKYQ-+>BcH
zjZULPV+~VLV;ol09Nv+lLj_uxLquQ5EV_UTs_Efj!5$mV9~Y~oK=g`SOcnP$dbzWp
zdE*}o_I75Ek;@SZ)C?R^jmTU;Eeb-ErrFrAbn6$NW{1cyLcMUy>A)gN{ZvjrN@K^4
zUDaLwDMJR9X9NF2gqP7iLV$)v6bFW@TK|yeNP_&$*x2sz71Z)|qQK-TC#KMNLO<fU
zHaM){PTd?@Lsu+bUmZ)~#^QPx^&ia=fh4S$oV>n)wm2TSsP4s!_14#k9oRzz#bM&5
z)TcNsY2nQ7kz;(A_fg;y%hLk$-RVLuJuFz8@1$F0i~yDkG(A5lE#T))a_`h)!)|rt
z@7;S&2rKt6yM()|3Bd!_y`#zO*p8Lq=gzglSWJrwUxt7tlw?|kJR@*o!R3NaI%uMp
z!U4IZgDC{KlFF|_|Hg%VesN}1yjlz+>)h%#(<MOP>x`78LLSVYC5|mCL;|Zel8*Y?
zj|Wp>W8-s0+c4xj(NJu^6edP`z0#J1hur>a7EV9;F@uNN)NxxGY{T;1dAd6u1e451
z%C-w(89zFZ$B}XvqvK(c7XuGO*9SuT{DrXuiKixhg9=!>>UENt5gu%uIlr9vEP}<2
z<>x#qRl@F^uDs5&7Y~;HYdRx`#jw?J^;RWGWsLvBy{XILcrbJb)OoQXj*;t4hp*jJ
z!AkBn2g-iNgV|F2kY$}D*6{b`-jhmd7*F4)s=9py5DXl<r2a-4d-$NCr?^2KGfowM
zAh<$+L=jVebxao9Jt+&6Xgn5W^PxttTN7w(W*xC}@|fn4DxYKanpmGhE6sjd3wrur
z%=oG)VgCaF0RR6Kmv=nX@B7CcTV`g+o@Y45vDf?Jh>Ro^5sAtyvQw1She8^JLL#ZG
zLX^_`wns);`BD*OMP!fg^ZWPp*ZsKe`@UY!XLr$)LrUrtB!5BjL#d?-jOfc8RPc~N
zGgtOi`twtfrFx^t`Xm*sPa3iM7s;XojGg7nj4Dzh`c#^oQ3LNy$&26E<WYjEylLfk
zHI&Mm;@f{q9UPPCdQ5%_sD^Mm!l7Ipksb|xVfv~8_bbwO8h0t8B3akB3Sk;3ST}c!
zcvus*daQqD=qsa!_Pypof;7aecWbh1MGLC1bFsZ?M09v__Q~h}XsA^VOOmeD0kbYW
zkA34L#1cAswW)@NXo?P92MYC|=*P^o)ou#fFst<{_&`I>pVjPR3Jri!zW%NwSp~%(
zx<30lh=v9q9$aoHH-ZV5i#iQEsHpoBPk=(d1`<3eq#E!RgVMvjeqJxBD8n@MkJW-Y
zT1yUp!q*9K_oGjcgMca$`kSV%SFeUTw*qVvN=(3#`-Nc>MHM+6FOvD5Pem8I(ncpk
zO~LNmV919RDl)9=I8p3HMzNzQiB3Xv5E~@7M2AsP@ho$$)u0mcPUhUL5>JQeqE(58
zXDaCTo?-rzI`Zho-wRxO`{-b@??~OXWC~K+H|2XgNg5rGiW#A-(P6c9pMKyTGGgd^
z_Hso<44uBRv!Q%pJ6D|l4YfpMCh%=Iu2cZ!rQVrIXr%-DumDeom@*35Ayo3^11D+`
zKbv?ih7NaJO7EH;QADxJUp`hO5|CLe&#4z=I%NLcYPF4#M}59wVme)aao)PQBUIcJ
z;;yfWJ}Qw#>{XHUG}~4@d_nMTgoP;#<@8Mkk4U4bjFcYs%0cWAvt$9e*#tgZ>W=(w
zDv3Iq4onYzo5gh6)W0oRn1BbN1mpiDhU_$MX|tv-V=<v5xu*>PexdII&B{fPeYtH8
zQ^-Gz3)x-Nw%DFO*+1*hdqFgvDtXPcVGE0LU?k2bV?b`-mzlG+6QQO)pJRU*V03(j
zCp6a>cJc2&w(*k(-J}cjg<K>+P<X>zRAmH7`_RHpiydhBd`m_6D+28O@tR#^&=4+}
zonX@6#ftpC&NTF85x~acjP6kmL--nG@44q7BT{e+)hTr+Kx}ruijJWHbSGH<@fg{_
zFV6@28?X@IMz3hUR=7SKOnh+GtZy0r9zCyToW=kgA>x;M-s(YbMeV7W&^cTsFQDwP
zG6U%Rh|0akqzBOhGxQ@4zwz>FDjg5s!sb%{cWU9FF4$)kIA(MX<6FmOJ0?mtv8z`l
zJpOy312{)(&D7;yJZJ6BgIKOj?7~9z<)5rNkl$;u$AY&8w<y!J?Tg#Mcx!vHa&K*T
zKXLWP66Z6_27gGA(%!%>wjk-^4lQuO1t%gNe#F!lf0irrZeR?1rYjN*v|z82pG{iA
z7ffVeH&>zP24=J*a8;~86Zm}H%%`=7Fn%#S^{L|qc8}k*QBg({viW2rd#!(BL85^V
zQ(HDLjbYB4aSv!Pdu7Yrch@);asEViQ}8C%=C1Wxc^3`DFV*pF6#mA}w-lWBKeUAj
zrF;AROw#}vK|P^!yJs++f0sy8+6-WJWjXPMlm^tq7KqXH{$i{fuUhJd7@)`*yL|e&
zI;eY=D-M32!>rR-{EMCuz(w1cSw=@4m`-cCcwJw>%$I`9YZ4j3>(001bxmr}$H~Rn
zt+9liq;OR@rZ9m-hG@Z&V`?Bd6YbwMwTyjevnR4vGsA<`me|%ARcIG+dGYPdD)y+U
z@l`$#D=_RX`?o?;1rFZ4ev9;VOi?DaEbs~&_@=(#Ipt4<{N$IC4(S`1ZEsTcCrJ)q
z6?bGlP^khB1TEujK5Sv}Jh82JM|VK=r?sY?yeeS76?6e-BEXJk`>DNOx!~)%x1Qh`
z3f!W<swg&Q1pG_<92W~OR4wWY{^%w{UMAa%`nyc<mbFR#;wwJ5bGkT3#)1rUZdaXu
zGqM0XX-~Av#!mQ@8>pLGM*^w7ynfPMR^V0ejj{6<08M+51TR|>tbICL{))~H6QtGa
z&lUs$FRf5c{Y8Y<_w-MlVmsiEWP?b{6JhvN72cU0M}$s+Filo*E*RbPNKm}63sTz)
zB=t;*@Jn;Tdenjk-hYUDNIEYD%^<+z%1MM`h4HQ=dp<BOqpvDG*$v~&|7Dz>P==V3
z6fK*FJ0X;7(?Vxm62$7u{;3QqL(}L%_RTGRIP@TZ9E+skWa;&>ff;3JAq;b0yCMkR
z>&q?t#ARV<M%+qWiU=$*$-mO&g#m3vruf~G1NuJQpFx2{NaEh*+dC!#=gsLC#6=Y#
zC@g?2^fwViEUHfiwuwSYFL$ANr6TMr)@*ukmjq1vPx~14io=3BlVEv(GTf7v<NkP>
z3<i!?HGYheFs~t}HK|2{z;4a&4$%~d_J}-Cpezl$yOyNe*(mT&<G{X;T`C}ZxXL*9
zxC}%e-_PRpT?N|atp0m;MimlHT+mL+lZE#hEAL}oszOFzb=mrJH5d)=P!U>}gNzuM
zw0x@u(JeVVU+dL@QkJ_|>!<+3O-17Baq3_<xOP#1iw1SoZQ>$t6(J>`OYy}X4Pfak
zzA+uC3B;@s7Bf+0@L_oT$YoFi-o_dz{u0)P@lL#nwmlD9^CcZCTN?1*Z|7I+)qy<L
z{4;mnkbqZm=$KzD4LokX>Xa_igYoo2yR~0r2<hIkync-a%Mw0D)_Dey^~%@WafSk4
z9=t507|_78{qucNjuA9u$`&1OQGr!pS?kNwfES-%7ob!OT7UG0?ma_=oQ#qkUz^n-
zl^PaO_6}eptlBcNg9;-R)2y7iY9LQ~Zq1Wo0&bVjKK0q=iwwWrZEaVnfc^Y%G|Isg
za@fTP%9T_&Rk-K!erGax{uHnAn>U5QJV%3RBPy)>ZT2}&D}jvY%;p{+I+R^mw$VAK
z0-iJ4;;U}*5Zu-rKm2+-KRFYe?N5OtwsPgdJ<`xQ?0NkD|LE|{%Y_(3Btz_Ya9ClV
z7<ea9ESGxez=ssPhDwMKvUQ4RaY+zvbGlkNme9c?A!E{3SQ!>9{p93gxFN`%nn(_$
z!=VeN(cx~25T4T25_OIV!Y;q<J1R<tqR+XNrD^hz&iDG!R?{M;R+6;0;-x8M=Gls!
z?vRD}g8@x9)xTp^g`wYK4NYNr;n3;V95OIuanCC|rUP#+By2cTn?PJ=K(uz2BsABK
zRXL1I;LZ}si%q5`(Cw+UEOS5{h-V8^Uf0dzBC<};p4S4*CR`n4P~8Q#b>|a_RV(<4
zUx@C;9)S0{j-UH5A@I8gDUOtXxK7XwJ(K$w_%`nIGK%2`f}}wHl<Ov5bL<qgFV7f;
z6_X2Jv+}`;;k(r8<Skq<D}Exc+6Xc`PCA)Ja)QU>0ZJ$v1KRt<T5!itL-_AA%W29H
zHefLi3Cv#K!n0!Zx|VqiVN*1>#4nu*DxcPB)?eSklcZd-R7?#(n@#fPm?;DFuNJK)
zb!_5Uy)}h<qV!>?O5NAy#u`>5aNF(a!UitQQt#b@>w)L%_Z5dU7crrA&G@bz8@O-!
zY^y1U9(+$|9l0JpiygnIMp2aehd=h%DWLD93yq<r{=6~cn1Jo`mqk|Vcp9~f)2vtr
zifvhH>-m3RT3XmKv$!=pps`tfYljXLCFTt-Pj+K&ruUaAQ>%Dw%c!x?X>BlwJUl|R
ztHGSgXUhwMR&h<C?0)@DEf~Tpb(4=J<6jA!4$-o!cq{++W~z}E{JQ@|C@8WX*F&uy
z^vxCAfg@_{&311(x23bW8g}7QA7w4;*;es;iyi{cr8S{XRHxf&r61>>CI{_@Ra|5=
zm)4s~1HU%SH`bg#a8zOb`unq0eD$H5ql6F*o=)!@b9VWOAIUOMv^QPDBlgEKx+iPE
zS(ml)M;FKN<+M)0JKXCy#2n0x71e;U__0`-=t<mjbx;3u&VTsff{(`0kJW)K>GhtE
zXQuH5GTuLFw1MC0pb~Xe)FGm|;ZO^47XRv>IlYv-i7zf6=E;4p2D@bxlMZM8#q-=B
zi2Rn_zW1<ijA*|aaP)njY89QwA^QhABOd_?T5Bb8x2Zz!+(CBT#|wDWR$D=pI3v>J
zW;wY+P=&(NaT>vTOL&2{p4pHE6XFhUK7YWN3eOK*+hH=cj2l<v-VD9Zj579y+}6IL
z0%aVfjz^1E@q)XfUA-Kv=mDcYb9WmB%HD=BUcJALe>h!SQuKrkb?fKKddX1WzqV#d
z;^S=|6Lb*$=fi=<b$EV56d5j$)ttD{vxQp<skRBaa-vi{YoF#HB=FlZI$bGFKv``s
z$DUs1Mw>w=ORnxGfoOp%1bZ@~05RQ-Hv_y#EG_IYe<Kl&ywY2&Zev2<X)~m5ot>!P
zz0u#;k_bz|dAiRJv7jW~FdhEK{3z_BmGOG7GQ6#&s~y>7MI+IgE&>!m)S;1Hb2d;J
z+85gkDedg2?A`s8paCH?R{V;GNlY1h11FM88+V`~hc(v0S0bpoCGojSrxN7T|NeOT
zhYR&wI!fX$5k&`RjS~^+O3?PpH*DOT7hRm!A!UCTM@~KGVqTwD0(<`fPs2$*^va&?
zq=>#GD)`+^?F~?Zm!o2$W&8M1a;UDL)d^{2|5+q=_a!BG7XK$=s6znR?$Lkrtwsht
zsFp+r3Y4JNncuN2NC*k99(t!~D2IB!cmC^K-`>0JyejKDBB;h!(MY{R9yy$F8-5t1
z4CMMS8zUJ}Bza9RZQ;BkvYZyXZ7EEIV;J|FhpOUeBz9yv%Sah*Wz#wYr-|@k#NRdh
zgan#vlzq=5NJ3Ge^!BO^63ABbUgfQlLR#ZJapzXaNL=R6$rJl2z~Li2X(1tlZX8VK
zkRDS(idb=q@q`LomXZHZaatDD^5YlhyHrtj#)n}2PE}aEva0vEMGkS9Y5ynHuZE1Y
z*ZkGk)xlkL%(jlEfPCCfSXRAPM^!>mZ#WNWfIX{C&x;&Ibe5mxg2D|A#QMMB>-XDe
zAP~oU;+mi`>X+_k^U<QA{ZXsjKZ3PDHTR+d|0N>wcyaAhSvd`9x<|gdL)U=`Ytf{F
zeiEv`y*4{T&_pj@K9D}Htp~na5w2$>C}`zXwM{0MCR)2Au2#9d4`o;$AOFu#1<kiS
z*V<^Kp^l?LRj-d4fxqz?mKF*X*%`inVFWZ3rz=_RABaKB-#ZEJBUE(skMGR_cMTMg
z_K`II2B1Aat0l)l6>01DjmBxIqj2N4ud2BwP>towE?iVa8yyjWHL<E_Zs>+`T!<<B
znB8M^(@_<*9#2=4(xITkTEDxmOVMFQ;1QKDNJa1W{P7M>RYnOPQiNNx=#Z2fU2#uj
z`#f}ZN#!niG$wTIUd7_JCyLW|tg@;gW-L~0j9Ugd<y`I!lr#gPd!zB#YchJ4_D!$*
z%eLp`{4cyr!VH9tNlx3Tk`R9uPou7&Ao9NEj_a?`q1wr@CF+tgx;wXQ^L~*N?U&6s
z%T`7QxxcU6q)QdiS6|(7WJy5vkv=m|9O*Ey)=_!AR~~&CsdkPEn8n|IC2(AtFa^0d
z`CW4hvZyJ^nz4&qfgkZm`t2QH3iW#}FKg_QL8l691)q?9VFGt^LJ$2h0XFArqqVms
zQ4c|hXJCFF3pvd4QOnl^uDLHhFB1_*E<5z=83^l`5z~W<?4tm++V$)S?INh<uvND!
z7Xx^>8>>y807z}S*qHQA5XB!4OQ5t6z@*jk?WGnB2-7+i{=+-bX+D2n@(3eL6o{q1
z>oJD9t~arKH+aw_`HbDpNG8a?*!k6I(g^s+?hJ_6a-b-SBk`GKOwi3^(UQz=1RGrJ
zOX&eD=%}Pmb8a3JwD0Y@Y@uej?W6v}>Ng0;w{*n*m>(0sxl(mbcLQkLd){4&{~zw?
z^6mb&olKze;$(>H1AWkRb(a+CSj4>^#bstaX9Ti=#s7*1^x%giBkzRnEdKYK>SN(;
z{}_K?eE+Px9(*ags?rcOif@Sougdii!0yu<wcR1Q(Aj5`lV&o2-{weOOx^bDPFA72
zIxRXdNMuX5oov7<vuQ;Sv<bkixU0rNQ3vG5+~!@4axrD1bj8ND_mCg@?%Exz4b71j
zsa2Wn*t-KN$L~!rz{`gcw{>Q;0M+D~mA~o7qPQYje7E!YRoNG(j%oorp@C`>H;mDF
zf0Ed?y?f{M4WfUmCft%YcIB`c!#uBa6~!A7z=Gv+pRB1SNOONO!ODJP{|jF^`s*G6
zCLb*Y9(zxN(78nIZ(nAxjfaAyL3T!<Mt}Rjw9UEEy2n=1fBwael5~R2GPdWSwmSW<
zN&~jq3?nmJ=dq_jCrf7zFu}v`2bB%Bd7MeGC9FPw5xe;z`pke5GsKAO@+kkL4jB>!
z(M~s(v8a!iCaBUZP%Zb?^UQH|$O^a6qn=*HUNeWe?KNZtSB*p|&jmH$)niS1>%5LV
z3}R)jk79#p#y^5Z@oMlVlH^W2x`73o+uOv9vV&R_1NkUX4Q#Ic=n4<s!uG#%di?I(
z4%jhpSYI?*6}ZX4zIZnSI1IKv9MI;1IoqgneM3~>`JKIfjlc*po_A2O91qMb-J5jN
zrb3}IL(se_6P(&<)T|`K2PKORb~^V}AcvOAy!Mb88o!iu@>=f%o^SgKSP3eSYUrAK
zpO+QJ{IOKeJNzJA^}*v|I0YsETtK70^m!-)S!_@}?oX3j5`ci?f|NgNWUyyu-1XO<
z1A^>c+B#kkf;op>lf-y3u-{Qm5+`y3N4Y_yqMQgEMk79@l<mHDRJN;7<OZEHIH7W8
z7etF_^J{!3fp0!NQ)fRfT$=C}RvQrmGyT7()3QkroqC^#uZs_wcYSiazO@^Ey6!$s
zizGqXK0C%J5q=N}nA!+4mjct`#M&2UNRSz2y!JRu0K9e%a~FM;2Gh@MO+x2Mu;|4S
zsxl`CV%e`)&QoL|xM=q9)|2i05Sx2poG`@GOWBg{%E9GV_oV&jNMLrm$Kbr#F0hb@
zC%W+{K*k{7<1tS%?Clm7PL~ja+M5x<7c&(BZd6`Az3q!{qK2<L6WI+OtS-b%PzIB#
zB0azVQNV`R=3%OaB-ls(yQ%e;2<994_>*B3=nhn|`lu}po1gO~==o$AJ(F~HQ&|<L
zYr$9DPso5wpv@yTZxzU23?GtkQiB<dYq1d-vQYQsYeIvhDugweYqpuFgYb_MhS$S#
zppbRqkhO;zJapy@d1|Kth!XswSycfZ<)1yQtf&qjZvGRR_>TrxoD;M>q7~upJ+m!`
zE_Gn_(v(j5sR=07K$5*f35G9yOE~PV0oRm;m)X3vp@wS4E+Iq&`x`R9r5ZJ$rOU1&
zl3N$T_jb-sT9M#=Lsi`Sbq(lVcUx>|*8@DI)}hmj4DpV9eJe{E&?humAd+JMOb2Dt
zA9_$A!728FWr+s3iTWt>Trz^da@K_@brmpY($g#_YCtwe0VaMJgJ-VxIzz20VD%e5
z7PzRx)1ZxmGI87MZ|!?k0htO7;>Y2(tr{rkw3E`DOd#a;{{rmyQlTSYW9$t#73Mhj
z6`FZW;gVHXD^-dL5|V<l@iJsskm4CFd}0c2Mb#N6i&Y?&%Hi~KVVlF2yq<0f)4}oI
zM_1-`3Iuwq-*$N_56yu;>u#Rd_Q9nb*J)M?JUM9PO>mHb)bq59_BZLk->><_ub%|{
z?E|4ZOm@TcjI51Q0v!lKtOs%~5}_&7p+Uh=7&_nCn_y?@@SgYS?7)T+@bty>MpyH}
zu`A8ZZ*;bMmMhfwqlY3qGkFvf{)r8|=Rj<0+!VNa)ZR>2$iv^Rm7f7qo7hc#^~(J>
zOu;LBL6Ct>4(jIqobjEQ#iXq(Z{3hEg;O3)mmeLG0rph4l*FMP%;NPx-_&yx821ml
zCF?B(D_QSq{+n*aEA>7a|5G;sc{|=>XXD-AW5F?aMduf8Wa)DH+%|6z&MEOX8;SyX
zaN;Rf$_y@hT|?9#0|@1J{!!*54D}tY#_?hEI92nQUdC+<8f`U7gqsDRKQSRFc6br@
z>rn|4eP#@H^F0Q$E<1rGl8a^Db{RMFe;g6iU<A7_#Qe6g<^krojC-Hvm+^p8%~pC-
zh7dDicDC4T2k1L_`#BI+aG9$3n`xqkV6-P^@?bVAC`Uc8lg?Vk>uvg8U9dF(&GXrk
zl5R{eRX&D3{9VGSWAD~8Z|cJ<!nyq$Aq;SenKT}}a|wU@rANM?O%F7u9Lw%ku47(R
zLkWyRi@2B&udAuZwr@UA#nok(u_-?Hvyt2j_<^Iv_?D+Guu4Vff99XZp1Y>cF|*I(
z?;{+e{(G+jK{@Lpfg67?!3{Rz6`nc#xZ<0lOCmZD&mo_D=+!t@XDCytr~DVsd~xbd
zdbl>QcD=w!$|G29>^riP^DHh>#E9;H)q>tI>7d4>uUIt8p_OjC8QjCExLws;3o6d{
zc+;7?G5y&owKK#&xahU#Nor-9u=x2DoqxIsQ?4vjRyCQ%oy&_3dMj!|P%UXhO}qk2
zC3Djw(x&jP=iLMO=`<Lc_@>69<%u7YO%18ln8Jshr>eSzX;6Cid%_czay-QC?~7Hg
zDctkVR5D81{;yQ?dkT4V_&@_aw@zsa_kV30XeX=zRty}a+Tm@uu%HaR?#dKCXWo6l
z`=L5`myEEscXZ<1X9&wx64Uq$?a0SJa_Zo~a3R?KNiVM0_^GsdWg0J%J6PFTtOo8I
z(Nlre{kZ%{ri+E(4BmJziEr9i4aO_7ga>-Q;g*7ndO82kDUXW%BC=J%IDk1b@c9tV
zFw|4?g#9o6<Ydaip*AYm&Ja#`cn{;p=7{Fl`d@s=<`m6#Qw7Ei4>+Eo{=`*RE)@;$
zoX6F(s?)8sRDgKLD0GT2if8%!jyz_&fG=tAj?;oDu!Hx?3d6)0e)-x0jF&9pyYu@)
zSIWrH)BmTlU}6HF3VA}5HQj!<1t0$xx9u+xLF9jv98<V}*yBl=treWX%rt(?ngqkF
z%xw+(|KLY0v}Mmtui><MpJvW1BBbQx*}OeIi_86b<)*uH16O>0FqdIX87@!fd@CyX
zi(lk!9v}p4;ikWfj(u@b2CoN1X$6^i{D9X~5Hl+QT|Ke7o{uZRDzQ%ORq+CT?P%Qv
zzHmlV*Oq6JM^=I;|Jnsbk0qRFb31p0n;DgR*6|azduf8lsXfPV1#hR%^$WMNpyy>v
zc1$9Q&?Mb|Fpa*3JNNG|$$rO%I4wI4ai=H%t8@rM--Um;O}{|s&wdV+a5r8&RZ;<F
z>k0K~lbiUiB2k}gH7<muncEl?$-@g)cZG%)1~i#c-O5wLgT{XzF(@^c2WIM|?HLnB
z<k@O;{A3FslKc8ZWPDr>e#xkgKlsXoUa|;qoN?qwH*W3=TuPRMu_^WS=|?Q6{YZq#
z5l%t$!)(M_Z@(NEUXt8ro5+TKBpDr!oe)9{55%Sq3(G;{;*NJyMI30ku%8gUD1xFR
zzudK)mIY(SrxU=$h3+q<pZ}~OhMcD;l!#tg*y^gIG2P)oCo~t1v*hkZrFp`FwcWD7
zc88(jb`c-CeJWi#e7_VLeRt^L-QTis3OnN9pv{k1luByvh{+(YilV^<NjY$NYWMxv
zumI9bm>bt9kVO&arWXr?<=|>=%p1kmLWor;*Kfb8Ji6ttRcSLL2Zsb!o^8GqLDWRv
zt|1jgwEWEVk$$Q?NGZU<(J!J%B(3tw&~9Z^8XtPOHdFybDvaJZlXs)6r!z{^N+h&b
z(W8m?wjzWK6rB|=kVHvlBG%unD5&~(wIIi=5)58B_-&{_8ZpOv^jch^B1OjX(^8L!
zFs0`GY_F&+s$rITw(6>eqO1E_ho6$6^hNzK-!wVo^WcQO%6WApoBLtp1RoV@4Of2{
zkQC5iyN&bW@fyfa=I&@-;5L7n+xcRRifC<i>w5ML8dA9N;iDVB2H;e2nz^qs`anIf
z@1>_E%5zkDJUB^%XYU%>OgTv?^tSb{WFakdD)kZV^NJS4@ee<yWsy;!9-JwU(L%5z
z<`P+37raIaRLvz+(EEmo8(BqKC^dho^h&BeaJgLDsT@j0-J@jd#3(IPj`CYd`HaB2
zCquj-O%)Y3vA@;$t%-ivkI@w3FyQ;9C*f?YhWuH?I-}-kXdO;Wom>GJF0i-Dk5xk}
z1^O4n(lk(CU1HZcK~rcr#A<cxsT#_f8Cnq=RYT#TOY`5k=@59!KPov%4Gl=sKB|9F
zL79L01pWHy&`@Gun0P=9xipp<Iz<!F4;3kVBFGG$-OITgQl*O86%Wcyt;r)}yCXJJ
zU1o4WdPw2O_I+d(kutr`OQYr{QK!ufGuV=#9ax#CAjynWKThXe==G-|4s6j3BI8q5
zeTigL!?@2yD}WC<{A#})jm%(t?exwQszkKQ;@+*~Hb%s+ysww&Z3cP6X_ezbN@$jF
z#4hpMBz~ac=alHSr;Goo8^)&OQLJ4iYiM;p_J05X0RR6Cmv=nXUl_;jjBD>bu6>Pr
z?frdRTanCP8X_4<c9}(@h{(uDN<$f?p-8w#AxSb*h=}Y>i1_*Uyk6&=*Llw8c|Pw?
z6lNz?A7BFGlP28!ND48lVduJM{$RzlE)PP6$-wgEp#Z~e2~;V^_fz;YHRP~u{nD}~
z1FgF6OqqZv>JcA5jJwGI`kU80Gb@cDN8@E8gQ6gka5&to%Ek;?SC*zIlE%Om;h))c
zo);0dOPHgBaZqU2Cexh>P<q?Xotcpf4Y$3wso!FS+43G7H4Y&0!Gu2hTULZI-<!=I
zWP_KQlOg527<8=tx@Ww!5Al?+e|iAykmkb6(kEdAu56B<!z*Y|msS`h^#D7(8Y*NI
z*EIy6uqig{;Vnu`FV5hs7(2AouC#tSW&oCC7Va|+E0ha@2YGYa*`S5puzo95A3AiB
zl?@I}P?(<4IvovUgTj`UNAFtnAW`-2*Qbiz6#ty;o4>f&U`#Ef!+=!}%3F(sdSAZ6
zk{*xv{c2zZZB-xPd{<pysAvf-JU@V0o|jFqNo0jfMjw;#&vYOovsl>h{si_r-}&8$
z7b}?i@CzBT>cFJ<slfrOMNGMAuA|h46+VwK2c8PjhWPw|Dz3w;SV{hxwpSV}I0wg@
zYYb`u>4x_74UP@Ws(p>r|AQ5#mJMA0v(bX~p`D`hv0K;?zqd`o&U^2A?QN9Zs0nJ1
zl#jot+QINa(cT|6*`U|$<cS7jO;9afc}+h`1ycL(E2^}zgX{D=_r^vIke+B{6gf--
zb1E7|2A&*XtGYIjZKDBg4tZhg&9oqO(EZ-%Uk>=Zc`eIeP#xTx{w(ei=^=Q1K>1b)
zC!~}NNVW&6!=`FNj8*{yBxH2S(gtzCYQ^WRvn=W$r|~4pn3WM8RFqw6KEw^HYzxcw
z<!V5k{Q7A4RVK*nou#>VfCq4hc3-`N8sz>nx0~l=f%R<L7!MC#aGw8@O;4i+|E@4z
zk9vXwu4MivBbj`leb!{)MimM2XG2CCkF&ve+Y3LcQGR$V?eTgzlmz?ILo@F3aKPw-
zGiRZVAc#`WmtE2$!9npDVKGKds6WwOl+q^zEL>3>a!e$6dTu1$kA(}&PyMlpixmN}
zgN$ZbBSfI7%JHL-;D$Lxu^K8XF_^kCF#5ES2(zuP6O1i*fJQ$_{l0(%gnjKUj(kak
z1RGIP?@PQeGX2jgQ$!L1G?n{>D~LeqNs&qF;)6F_soSfnQn2OnWw@`J2rE-3T(9Z~
z05zEu$Z3y<CDt=RJY7WS!N)Puz7hnXpdYX6;-taA<?OoSHW7U1LZ*x@g~9gKsn<qz
zGSJgjXQHV~0ve%4CaGl+xXh&FsYoLSY?<=CCz44JR8)KC?{hKe>nn-2u#pGDV#cQl
zOC%7!UUC~Vk$~f;V;}qHD?rXLSG{qd8caU#j{Tw~2~JAUG`?esa0Ius%*3b;*Miw3
zNorEStXn2IF0BM|gK8GcHR>>Ug4M`V9S>Bzo48Ys%FskVP_dJ^ryte&`5tX)aP|(p
zZF^b;xW;x$=mRw2ZlIO4oq-G-@IDsJaZDBVCq@LE4bs}HLrdt6fh;JA_jhS<62VW>
zH6}4d8v@+FGy7=DLBRfnFEcJgXpXd7@vGB;9Nwwo%M$WXMIRh-GlmGK+!O?7cXffr
zZ$!6$Lmp=M=i49dt^4yDT|H;354#c_cgm_2fZJ!YE6R}w^c=0h%J&SQ)R)#?+f@-F
zK`rRXt}195U3x0GVhF{9mW8z66rt~cn&XKb72qbv$tUPw(D2sIQC*n;G47r_)Q^>c
z+09tHRs$f8Amu&aL;xz5oa|S$O7Jt#CH!$cz#W@RN4tXraLPD*Jzqo-8dEwlRJDxZ
z_o?qa?g9iLE>-+gq?U*7qPZdcTw}O<Ql&cjxgsRh{p8kvCj+@RuV+0UHHJSa(?d`8
z_H&hH^3(?5VLL+oSt<`1`jS4lCLB`$^UNro(~^=PufHibsZ53|Ic^F+!sQ{Tx7(ZW
zUKH-~Kf2SeN`_st2gS*uav+jo;p7@C2-_|-)`vvMfa{p$rE`%5L=JV;P3Hw`?e5I>
zHDjnTxFt>}Cj$yr*_Q-pxWKhRd{L2N462+YI*l1T6owite5hjuv(yXHhog)k-|P?L
zuM#QfXReaYc3_0G9_Mcw%Eq97v}v;4M-t3L44?YHqXjDFg3#lA0QGr7Av;PEkY1?x
z``PX;wmCTUQaT!-8le`~HBl&IUK_r)v5942A3P#O0b<TRQMg_z3};HNmP=Z%VM~q<
zF*6YuL?~?4f4?9I9M$QGj%`cW<a1xqCsjs}+-becbdDeXZtnkD@MIoi_^fbM;?JI6
zeCKw(oxuz1e3CjJ6K1f&>a2k>EkpR$UHEOemm2~W0t;V$pTbNDrXLPO8o&wT(}yE~
z3${nw%5;3EFpaBMbSoP4A<mZyhB`UGYx9DE;r0}EaTzl(X4Qvk>t%%?E_P5jpj!XQ
zV+Q-q<eXx1Om9ypA2Z!raZpEL>}U&}!!l}}=f6JJg(Ix|T>34{V41yZh!_{KC$n_P
z3@o}ZE3q)^$jAiIS@e>p)0VIX?9-bsK04519wXP5xDSM^qg0$sSFm*Ii%oK$v_T1_
z+g4%>Q1xt^z#*}QHD4xg?UJ<N+fySG4OMzTHcNZ~qU+fC`qUK5+gd;oZDuJvL<euP
znVWTWH?g`GCJD<pEs!ykdlh@17Vs2PkzYYun30C1)KaV__`A1|UrEx!chl~ZRv-Rh
zCKosB^foo%Nlj#y_eUBagyoK5qEt{H&J+DHOar3W>A6I5X&|xI-K4{d8gLF`J-7a-
zLm9)}ju+Qxpl*}(YIg$-a5TGezKT+ZGy!6p&pjF#TsZhbo=68d{?6Y;>D9rsBB8Rc
zp9a3lW`3rvq=z7_PfcSPYVbjYrD|237J{qioW>6BgCVhx!s0S&Fj1wK!}f$0j%16!
zO=VyLK}++;Q*TMo@od)NlNlZK&9TN%5A4;O!|0>0%icU}?Yu0rLkGt$Y5y15frI-V
z0;TQiL@2iyNb>zk4|Q}^i{8_0a7=#Vjs0yR@PCZXR{O#L&))K>YTo34^s`wWhL%LA
zy~LR8J+%+M<|c*8e&&SaKmXxcmsBD6+kqR}vP>|sFE4jjm>U>bqOv{QRDsmuX~K7f
z8O)o-r<*SGK)8isfPTLUOwd0RtzyMNg!NaHz{Ce9c5>|^PO1R8b8BT^Eh~75q~%+c
z^FxV`jY8PAGN46^IfX2C7|3d8Vha$2=s~>g`(kB~aA-8rXybqa=a1>n9fZM$>W+-Q
zr!tg3jO)8O&Iu0-WRDLY5e4a$b>UqtWhlJ&BRGP8&+k5#y<NE~4w}0>@s}l)fwgcd
zjqfB6sI3eK%+5(b(_BVJzN|82=PxwnedGoI03&yQMJc$-Xy6-Ur3~US)LHBY_~A%<
z<Du#ZJp4#*>B>)4h8UYbszWmZ;3Aoq{jXmd1U~<%W?5GTufdac(~pFpHO<E6?EzVk
z_QSp8PF8^@4nI}4<3vENedld@n;gVY2IXz`tHQ<)$q#%HV!*e2Y5?b=05nP2SxB4+
zkr#KJ_nAw8XRwNE<b)zLo9wpKy&?kJp)oqIqmp22UC~*7UI|8jhK!8+l7Mi=?*a1#
zDd-x1CD6O842RTC>S`OQ!GjOtn`MvjAdK#_pE{=s6PLxwsv7E0JAbWT_q#OM$qD{u
z@FBwAmY25@4`_h?o&4cu7Fl?9_gKpE?w)_&v=aQ4s0k)2S;R<vIgn$1w>lg}f>D2s
zZ<j~3U@hYE(d!=aARJ6+@#-PLl?FPM_5XC>)bSgU9+3(VV;nVWu*W?iE!Eqd6S`pX
z+bH&4lp+w5UhTH*kf7p?!{7WweTaCRtekwD0B33rO|~_Xz`obts*hj@FEecEOoWwS
zU4Jl-?+^+6=4Z!U+l-*dXC&cpsS@z5rU!}MC&FZ`+R~gdz|GTUD?qOdK~ES*1|wBL
zwDD-&$Zr65Dq-$#d;h#~(fLKrer1q7BW}-g%^24Iz3?7lQ3jUh+L1p#DnjqLfsZdQ
z8D@R8nXO(b!B=sOfNmCfu>LV-#de7d*KJQ!`id!m>Gi?+3yLzZe}zS~rJW46C*0{q
z><BQv@4n?-ObY(ya$0e1ks)PW^WZT%MTqymAA<iN22abii<uZrK;L%ph^n*#tcsdY
zZ8!@;XWnNs!Uh?f6o0BW_Q*l=#qc?GJ03{lb3MMccYdam;B8(%S-3S3nUuWOA74X)
z9ir38kXuAwBe^IIwJNXMjUMiU>vuAq&>52f^-IN_JA(&3J)W?L0V?n*{dDx{m@#Z+
zJb3tRLK1jC=xj}T{K4vNrIGeUV<@II3}N(@0AFpzx3>>ZV-giMXTNhBLx$mdTJsrE
zC~<q}n|PxSQ+Z1JPWvIiz|q0qTGGOBqSn13!7>Z`MRf*uN)sU5Aj%>&UH~SYINuhS
zv{MS%ta5)`!{Cc4qre0!A8foUm=sFsr#Q9pz8<MC0`-T29(>K*P%za#5;60W!qO68
z;q=WA)I5#8c|YNVJ4#Gr2IHfYdAsQ&atwyRzc|*=eT5ya+r2)Je(e|K!-=u)1G)x~
z=bc{d#)*S&727wb6n{}Z9gI^f4bg{fDIqbjRYr){<It_A9;NJ<7e38?sRzxLVy%w|
z3=lK-;=u*;pOk+}<7Z+wb%D=Y^uW*yT1Zu;d&F)rNSRA*Z_+W-g}?%~60OVBpmU`l
zsyD2UVmI_!F#e_vJQKx{X4H2va-Q5DecLWd#loDq#GE#iVoDF{2Dh-^-6uuT7e7)Y
z{sw>QwA6-$4tetz>l@fw#qamcruCHYr?u)wOSIs^3kfE!$Um4~?mHFy=_1Oxwfdu1
z*|dOjCa9=+FHe=~HnmNwmtbs~whQ=hO=xe>lnO~*#*E&R9*s94%u=qyjrz9+Y)w{q
zUBWG4SJaOlI?D11JNv-;(YlKU;P!d)94TDD4(+lmZlrZ#vX)f+BcIhlDY4|)M!_7G
z<F+!!kl2UaZ83aVXrT_J=e`tOVw}Y;D36IBIy;D^ifu@9G^xQaaT`gQuhUphd!1SG
z<Db~Edv{iZ%+=s$sibGz9yidRceGy@{)OGuJ?&B4N&;(RNxHm{DU62`V`#lOjuk0W
zmTuXTfT8lNU$w>*MrmV-XcwErbY3m0PW&K3%Q-h&cfBdh<{y5ZR5OiT7k+sw><kgK
zO3imQW2dl+-p4Z$0drXRVGdRQZB+<-+N$=OW*SSP9UMkdix{`pSihF6Dkw+%x+{vN
zu_n&u7xhI;m_P}kNyS+O)DvdgLSN5dziV^CVs%!qVO-BEEJYa{<fo-Q$7iv?t)>q8
znN@7~*nZ)|ElSYhxs<7EGmq_<J~F;m_Xo?LiOLCJRszDDOBTn%0yZX+{UoDu1N*P@
zZ)J=<0c<NzyL<g!#Bv!P;^%t)VrRXWS})&K1oBdR*tOLqY#-mmy(auW3`hTo<NB%s
z>^um>p5j+9!gICy^5R|0?K|U6nXLkZIcdF^3|qxs94(0KB2hy?qtNKqQ+aUJOWl1l
zw}$1%v$W<sqXAnn;n7FD@^JT(ObOHVb!?z$b6&||kAs-byG~t_gRTdmR|&40m`URi
z!Be6PP%nZ}Sk`5s)sg4fn9~;aGic?67dIm;BNwi~U|AT^<faNr_=g>({LQV<WrkqV
z2bLRaGH`~CLpNz|7xQ?XrXiY*1BKNV9>zEsurVySUui`RDQ-)pvx@A{+S#d>$twd|
zCi~U=>S-YL6W^!fRGbi4vS1=oDGiU_m0588M+eb6E6CzH7u@W!=WIA84eg@BheU-K
z;BtvX{4p{Q++93;;Rm-gQ04crTQf55@yZfmS)31ce99*IzTx3Qgjn?*S!S@?e=;~&
zQ2>7QM<@E0<H0Wucg`;Y2e~qFfsUty;KkMUJKC9e=zDjAtV_=h=gV}wcDh9%<E~4Q
zYZ@Mqx>?7`2@ViRzx?lBggCITr+?ObfCm%J1-(fBJx)%Hr@g8q37aPURIR;unAlQr
zv*YK12bph~wQ8h*mFjK6M|o-ZrVt}<I>8H4-#r5ZyrkhTVaB5Lo-~Y3Sg9op^Fu&j
z0}BU97HV=9(Mu~CXw7MeU7!|%^;}_WRX`p(UJgB{laYnjxih!=4~hV9tOcP+SP^(P
z4vSnfkOPun?Z5tyVlW@EYCfo;1bGYZw|?i!gCJ<L*HlTscU`YQjpHitUBy{Z#Y7SA
z^?s8-CN2fLJbff%i@n@_{wq_WsS=3q>#kVN!vlSd0srfxB(Uh~eVX`C1$ZuZwfRZQ
zzymGw;EUdBP&0n(z|+@6cw=8(ZdW4<_OVl!>W-<yH@$`{hwRkg=oF{s6(@O!VL6yv
ztF8f&sA=+_xCShIOM4+dudtUpnNC>^Y5=qNH6ug37Nkltz6psW0N){R^`lmrK#1qI
zVshN$|Aoi#Q}ap?&*niT@2?3G9l>`L9_xXw`J3X0Mk=t+^Ef$4UlUZk7U`!s4B@SS
zhR)w3s&Jiu%<om12Dofv<l|8oMD2JvKNcav;-#&u**EH-`R~2@)5*P@b-^xL;uH}+
z(bb#x_^5$+5QF8df5y-qkvHjfi3pcoZfpp>Bf`TYwfh*B$e`+IcSksg2+`T1&o#@H
z!KmQ%2gNrgaQ~(11c68dk0I9&ouLZQgnP7)@1Q9JzRi0U9;XWIkx_$8>@t9RY}R?I
z!W6>$+5LhJsDP^Lf8zS(65wFqMSZc~6vRb%_*OnC!IJYM-hm|nu=imqB=(rX$<UAG
zv8)70Hl~mpNSt7()~Pyn&lGsTds9<F0VX~vyX9rlL4QKw`VCuC_&m1kl*TOwE?!c%
zY8{ub!^*sTmBS{$SH5xJ$e%r~8_3&IxYI~siY{#OI&K13$cWNHuN26Bth5<=wM==m
zrX=3pxyKK`sNWXXNkBE@jnWS%b}3bo^i_=*8EWN=&O7*v0`tg~2*ZnX=;(LI`%rES
z9tw0#-D!fb8AVM^Ps4~xaXp@_BF2!MGjjUIEH7L=Yv^tt!i-WZ+}2*D0W>V0b1qBb
z0{1tD1JcYm6gIPZiIxe#F`!iYcn=$>1jLzsS;wKngwRGAP7JoAwcZ{VWrDHpqzz7Q
zRz%)brWX=50`ni7-1lc_L7^$wojRHo1tnD;E7UZEfQ~d;V#p50%zm=g*O3)fR!J9d
zyBa_a&%F=kyKC4Of%{q*BP()zByI2{NgteimzbTqXECo2tlMYHa7fMUa7WsEJs^Kk
z`u93&2-EQVFCzW`4h>|>q>VA?0gf!~(Dt+%({t;#j9O<wXB;dh#_V;W+H3KZj>Z>C
z@$xO_<F8oI+Td#Z&te^rN>Cbh&lsVk)?Rx{o63TMgbIo<8XdS8{ee;L#5ASNGf+My
zo(0W%#0bWFYD01cgQK4E5{2hYadk@p3mP~4iZ}VJ1vS(kKjw9=QogKLnWYb~ptG^v
z7nKdPfG%j8K&`w%X}1W8q9@}}W~*i>?Q>1oA15~>XuCy8$z1ID(uqT2{;G>P1WhQI
z^`r!ncPOpew&$!;SW!XC-?h(seRG@G`i*>z3h~6n-n<{oh63GcJab4I(4Kej#NsqH
z>d*I{qDf>&s#uZYYOOlFGfsY(Wk!qG?|T=tp5#EcI5vMS*{DMx^{9vVT{`6dSo6A_
z2q!vkQ1Yd0Obu!a+dj(g(xa<-kI0sDoJguo!f}6`8f=;26aRVbLoSHsKvW+WayQy3
zW|UTga52(q$p9nj^43ae8Q@0u9<^-|K9gYWFS{C@J2TpRr1wT@iw8ZD7XHH)LxN`v
z>2E9lvY@!vI(aEteCU%)?pZMn5_rZ&fMGc+y7QOvjw_8H{TFN+H@HlMv8GYCf8p%N
zqbn)x9lappPHN~MeM5w&t+Am(FE~&}*>30UTSDlZW0U515)s-{Pv*r{b0TG*PD=72
z5hO*&yZrJb5yG7{FOxdCkd2g<4<;{$@WN^LjrQ^~JI7h88~?b``w50EZVm}_tLlr-
zO&uZ}_3gEoG2%rllRM$}MI@21J-%r{lL&%es2DwO@}ZMQ#NDpwN}(xwj=T4b_vX$r
z+u9tR0HQMf*)8aWN8?Lwb1KJ(@G`zQPWPH1vI`Fp(l3%mis<$cVlol@^<5o{6oe7^
z=FpPblnmOOSTj7?N`$8MUKOsNA}A|s?!|R|Ig}~KTz6BP1oiAZA@fhfPzj@=%fBpn
z<eM+3efJs(zBqB#{jrol=G9+92}=s7k@e9-3l23f4rhI}Wh#kY)Onn^XH7t1llpT?
z6>8uhkraH<N(#-W3(-~ND<Q^|UF@N+I*b-2dHFly5#I`9l=F9G#O@bqn+_UqQ7-y5
z=SgW4pXoE?_D=<QroZ2k(a?l<Gy;t*!7@l}(j_ZuTNSzTY1h`9Xu;Jjx(gODvItX@
z#<!dzBAi4^S-!tEC`viiQN_xk;gqW1c@;#&dm$tL$x|J`NYm^+q4G#2DNa)1D-m6J
zt`HDTqX#>|HDkk03P?6J-RWWv5ivzIS8aOe1O4akv+E*?=#$syfr?@xl3hx6ptKmk
zm?eMa^m|1VUtW}HXH7&0qrTBd5{&k8WM@OKDFLY!7Ug}6QAMNlUhBoN7)-ujlt{=Y
zpf^)+zz(N^><ccF+S~vpuVKQSh=62X*{s-EDxu<5nO^&ay?J=TjdQh<fEuMnl`M=D
z5#94zsn4g4K?F-5XbmGE9FNgYn;kjiv)wws({2oJd6zD%(-P2hvaRh}z6^S{aL2V-
zkPM#~o;~{Mu86p!yoSEY;ZcqG&00NcGI+6=d!%M6Ap4pdv_jPqNJF7CwDbfSNMRj!
z-3#SWa?HT2L5&DHF0}ML;y4-n%8zL^UX??e{~DENtObyV&5QJDGcp{R3N(FlSQZ(j
zj)W%Y@Svb4+oipG_ujYqY9B2igZjgjXIL^g&{HR3#K|AVpjmU}8NLmV)ch)i*eT3t
z*S=P#HPaYKC5M(BqNI>yPEb#y89k!C(o-i0#&D>$LuH?mBx2mJNGth*3Z3rW*UmQ%
zFiSOQ+Sx3QtOxJmo#r+vEfy?)WD)?lx%G___lqK~k~2PQ)T@+F6_kf2QUEwfy7N1;
zLg>_;@x|*4^AyqCKW}l-7~n}#(np>Npyjka#rLL@l)ly<;s;+EK~s9qOSL>cRK34V
zW~A&F<-d51V-mB5;5A3Zj!Jk?gol_UzUwDtLqJ09vz#G>^4Xo|`^ANtPdgm@+c!kX
zHW>}k@iu@Asi>b$W}K)?@@q=-nIXz`$IPmgQho4Sc1LgSup=IPkWc*lFol*^#LIC-
z4-B_sYiDWpd~4;-nrF-ir8fV+)ytp<#cUglbkCU)Q%2$}&D~#=nMNM}j0{~UTCNaK
zDP}~0B96aVjDAzhi)L!hP3ge6t@Rvvhylsn-gxI`I7PYlkX2v8Oa~OOV477&dUW}e
zJMUJ~EJgJ4Yw7b3wc(bN$+Km8I^;WCQ<ufONYObnYUa+Y4f*?v<=N(FP=qgQt;h5d
zCG5nH_{I<|_-k{;$eMu$MLSiJ%|=!zo*fR6S4T7<J?yOLq75~=RKU|(H@8MPj6V~b
z<FLnZ-@9q^5f!5CpERss-=KUQDX<>?r~$NT!|QrSsP=sK@raD&UrN}<&Y?r58gTi*
zCp)|_6-v!*sFTmzri8S1iv4=04!iw+_vp8GDbJ3bpk&hTQtldFxpv)59e9T)mL{pG
zP^6{j=jawHG}(BQ-M&o?gcKi+n8@tu##&duS)2yBrHG1>T-3lcQoMM`iwae~IHksL
zjTQ;bXXI)8Ccz9pP32G%73xknbmRw)9$h)1AMO`H0$=<=XfUQmoYLj_@{bwNMkN+K
z!$AV6fSXbO^;4the0#!<8zTz)BP-ukPK45t?7o&X8Wb=`UstBhj9}>1Pcs`LFa?VH
zCVJ4K#(;CeuhekJ*)=9}eoPfsPph1^cc4Q<vDDwX9NEy~D89u^R~2lf?7MVM(xav$
zb;J!j4rC)(J1LW^0`+`H=Tb8nP;X^^08bhxy6~U(ITIQc*iS#wGBdspHCV3DjQr+8
zWI==r4_Ai3&@N2%C=<$mXZZJqD-SwWA!6RLr38^)0WP5%%xH@LafH__FS<MubLMoa
z5||DvByrZ^kUYE4w>yRW2$hR$eO6I|I3=ct8|7@sBP&`eEJP3$G=xpwA0YtuS9kqh
zPY%?>*t<jRFN_YKeR6x^5dql3++*{uaiU_3{*7v?D9UKgIXM}>$M=^h3QTQWD1t?v
zGpAP^&E9qzvkxbLUCY1uY&jm(dFS}8a=avx5e$~qyGj79GJ1)7cX*Ljfu;EQASv`X
zD289WiU3{7m!twT`H^7x`ty};Jc?i^I<7G)!T$gN0RR6CS9dtoeH6Ef?0xNVjeCtN
z<J#kQkdcfeX^0esk`i7k387RZBMPORQdvoHPYD?zWoD!l8AX!p*T3gE-{(2c=X}p+
z6z?AwWFHg5m&Lo=ob8k_vBzbnLaaK3k`CXItCqlF@2>+3?aHVjw*5vVg$6H~+x}a6
zDup5ZV>}**sklktbGF(F4W9O&5;v}uL9;!VRLc2OagSK`k!xHV;buxqhijx9eluil
zZ>m(oKOY0HUsu%xmYJr<8w%v{wDpJF3LhF)rSb4nrZgd-p!50MM>781_0PVTeIqgk
zjneOTYeAhz?&cf;MWlk7`X4(@%+Tb!+V@Qx#ImM$CT&;3<ay`k$gG7kbKj_`Vs!A(
zW_RC{t&DOU*}22lwNP(oWyQ8*x=^yn^*67Vg6=);H=N|O@#nS?N8WKgD42@B)Fz;U
z_d8XYuKuTuBO7kdK8QB})BHzXA^NH)FG%)I&(p?IsjtuL^o-!I&%M|7mTGvUsa|OM
zf;QeyPMyj8XAIxM5<3di)ln=ce!CQCW78pfYj%byC~>se*Nmy7%CV`x9K~AbF;Cv5
ze3F3P<>K~)5E_mR1jG-2)x?WsiVZ<&0D7C_M1R%N@TKGPdG3;pIQC2=fPcF=R4I7%
zGdgK_;>I)nzjPY<%tiQ&E}4UekGm<;Z5oCy$e!AGKo!k5zaZx(TEN<i6(>y^s_*xS
zgPjz7R^lQSJY@mT_Aw>1M5?3N)hR)3Ek%699~yH**Aj*dE=<p#RYR6S>7L)5^0>nE
zC}4-1CA92nQn&F|#hN6I+Ll#G)TR36Us|h&w%*as6I4Nqh?-CA_M%wz;NAqo&=M$7
z4JyTX6#P{|w{?;f!1;+A66P$HkmZ<Rmm;W)W({Gtc-L*f$9YX%BV`sKb~I;<Eld&L
z2?X)ii85n=&*+cDT^2yOLOZVBO~ytkQ;Kr;ABL<%;;p=Ca|l;c+$m%%kEdAkxI25k
zGWK`6$V$YTL%-g@B)^j^QZ?@GD7;z1SYmV>G38yur*%w4z*-8Ae0?QbG}l2?eB?5^
zb_D<uZEF$_h@-dX)dlj(FhRYq|5{lAKy*3dsQ)8T3@yHsOOu!&qz0H%qCE&$m$`R2
zi6V>_m|o;w_MIX)dbV@jjWmPe^<$R(9|TbG-j=Ma=4s;bnP2-R@=U=<EX(nQ4<BwE
zb|6Ov{3dw6t*A`AHGvMT7h_ivxiB>$vM4O<H&Oetf7jP}V@RMYGMG3y(2XVF)jOfz
z#K&h>uf5YUhS`JsuC}9WNHVx~TGMlyaJazidh(bNaC^nS>5*c=@W`cyCxWMl#KH%(
zM`ea^jkD{Mgykwj)0FQ~RNGG??B2yg+{}g$Gs%2?cyNK?TX*D9a>fL)dv^=3%{But
z;fcxTVVz?bX6I_IY#k$hmzc|P-PZ^CKxd}6`7;dHuKeAxBBO-D#ciQn>-0hG(#JoQ
z_oo;NDOpz^PJJWNqRP#g59-0xgx`pV>I9?DpybD&@vlT2|K4K{n{>hJBp2(Rq7lZA
zLTS}ho-YLT6l>xKU0rY&?AR{R^p&wuJX({w>oehOwJK$Kiw>v7qn|AXd}eHzd^kIH
zy`T7GaCzf9Q94vO_goa`{=^vTyQLE~(o1B`UiY)TpaZ$y(UZ&Uos6`5PmV>zcN5g=
zvg0Z2I*^|6`MOH!dxo&<R>{fWPC{bV+BW8lHfYRtJ*G@GG4vldoS!cJNGJy;RxYmB
zhG@@e<AKOpMv@7?g93aYj5t1y4JT^>r`u(>mkkVtdN1FT34wMZNVjBCPFM@xRR(C&
z1<M)clM>=@l-?7*Jg(uH`I>M=?WnPzY9S-Nr9F4oe{DpPvfyo+h9=C<85p{SU18Wd
z=@?e9v=LiM%8ulp+6ent0(6zs_Ytg{6B8<vT8YYrL(}i>X~3?bp_`=oY(hy=_Iqkj
zD{<1q&a|qF26Q3ThLlHliKiaRx!l#Qge|$i#fqB-r$#=N475HWC{uGe<vMMI)w8Il
zgta=13nkwF5mrXXQcSt{%i9Pa11IgoGinf=DQ^2}>^Y&Mbi-=D&wGNT{c&-wK^63O
z6a~F7t|lDMUt`ZQZzr0o8v_G{RH4T*x=a9G5&J4pT4&1#VsJQ*-0Y<Sg4bnzU3_YY
zohcihxy5}XzV*6xPL@(3zMntHJ+qdm9!`yWGu}bm_T3j=#!ZEMR*|QnpXv$W4ElU;
zLKnfYfv&R7j{@4I0}^*k8VQM`3miAydWbsKHwM_C4E+I5AGE$|CRpRI#=rOaL^wsM
z7&mDsLrzT*)4&=o8%KT}ZoA)4RQat6a$iw`=G4Q=zt!Fo<@1FPyd^#peTkav{_B*$
zBiDiF`pb6WP#Z~LSNsrh?izjIU8o{3ojhgTANY}2w^dzCL-Z@Loy^Kio=||K+h?1$
z+jSBS?X}W1ABKq$aksnMd=$X8`*I(Lb2m{Q#FQ5H>N`P;vF3C9LWcXf+q}Kc_7Z02
zdw&=Yj}m7OKYY!0fD8jClN220`-t6bokWKDIPttXYSM2+9!3e#?|OF!iAyFfHRXeo
z#I?Zow<iMS;cs>ivy{US;mj1tUB7>d2zeYJE43&GMHXJq_$I#)EJZkSczK$*nH@O2
z@0=VA1@hU|JsT$U4zVXlyqO`AwZqM<q~#!c#qTa#@pr=BS+D-ai&>&uVrKc~AzApl
zUr1bNXq0$vkuL21V~%Kco-5M0CId58+GWjl<AfNwc+k{kfvDQ^pR#+mG|bcm8a$bu
zBvjRseZH+O5&wj<CW54-;m^T!+Tm-wv%7>^Son99_~`BZx7}9?dT&t{Y(;+)E4wai
z`IOHLhl}q}7po+p!C~oI`S1+!toqQubwR9fLTHzCs+1%wYw+KHI6O=E?n()64_ybD
z&Tc2X&q%=Zh}`j9$$!NC?MuyA!VV5Ojw`YA;t<L`z?+(~Kx7Q*we@RoLh*rOQ{xD6
z*gc}uNwZld_J=!JH~r*>sGoA_nj6HyanrirBZ^E=%(_>#Zh;S2%AYqMxhDom9`6<E
zTA5*|K*GE2j|AX8O)oWcw-_`ua<bgG#|pLme!D}Hh2TMG@5v)%F({1b^mi^@2lqZd
zJ7RxL1eAk|?kTZ}LB*}XEUAC&kaDX$CTExgweB&7JJ;&Dg1?nZ!#Say>ilM_p9HjM
z4-eK+#lV*bi?s+I@ZYLV58NmX!5*7pLc+x0VEy)$GZcQ<X2`xWv9>=A6LsNli(*hI
z`8}GsTL9+0CD&hQkOvV-g-@<k;$R}t_vBQm5YR|AO{cFZK*6zwES?4lhzu?L?-+_e
z$mXnL(rfonocG=@mnH?#h0SEiRT6BhZ#h{1k^*nf@5z!~l7{N@>n|TZApujLcsNow
zs6r##T!f~g9BlfzsrI4l+I(}=3wI*bA@-B`!{h1lVEg6H)=U;TP$?+Zc+9gA*mWv(
zoc1WdP7T)lFPG#&^_Rrelb<v}@AGmjEkOwyrl_g6OcY>o@Z)b+U2V8;y^dB*rovV7
ziU0hVlz>w`hwx9<0lN>4L(FDs(3?D{z1pn|=6g>q55A{E{mt`BtzR@CT-<m&_nHfw
z$nbd3Fs}>ooG<Ff*7&)Bv%mGpLsf8S6q9zC)`O#}c=X&)9VjZszZRF(L9%bU(EgS_
z*l^qHB&X|vquV8IOCJp|G1_ilwX6@{mOUCJP8fnz;2F<$4oy&c8s<{{Lmy(={15C3
zGXc3BC9XBEH9@gC%3}9Ueb_d8AyX@v0QaSilVv-!fRyI-F$45~pOsC6Zfy>Qq4#Bu
zz0d+>=dgF`H|fB#J1#Tjp#{W04Ib40u{Q5(Ydf9u+VF5Z{iXAWCFr~B4PdVply+4K
zj0tMOtF9|cp(C5%ee2-U@e5ioZX}}iuSgZj*wh~R6<EOsFLo<3n-=)(W4HRftOz>r
z<fXrmHRK3-2$@=FLiK@*g&ogjU<WIMK51+XewC9x<M|r!`pVOsVR2z74ysV-CR@YM
zbAb%*qw3%wY2mZ9%mxE_6``~3RuKLyk7~!J3hLvmzoQI>h@?K&qIJ8hKz6;^3(+tN
zM5cVYAL}&35S6i;n|iegYR{Z4+0m~E`%ZFKdW^GSY=^*YU-3=w*Fe9~-iizk>lL<!
zJ?6o;fm08~{49YzUPVSIN)|c`@?3o61aW1^eQ9rn1(an|C(>?7z+OX6yLXYo=&<u&
zfd{t*_*e3KS_z55+2@ycCWwlnl3Tdb9$#~qX#Fi&|6TwnUsN5HB}h2bW7SS-0g&GM
zwOYE73*zN1=8hJUup!G?$<hoUK)tf4>KYsLOY8}}_Jf2gmt`k!9w$KU>#D#N%_V{m
zPOm-olZ2y+RMQI)W?;J~caO;7DT1@p%jQ7~34`hq-!^BMLi-<T8@O~4{BOU7Jjfy8
zk$_WwUcNE`_gFE<B&T-_$6Kt+R8JCK%X=zbv1AOHFY2u8T}K)36{>#rE0HkYv(#JH
z$`}gOY!*+yond_2c*0oxuPBbvqI9~mjbJ}RlZl$Uz(^l8|6|!9ilz4FLqg{bVPr*J
z)X<9wA4tljY^fJTI#d4<@dJjC<XPeFOJ&8X&S~}e7E$z_yr{j{VE~y62P1DhUWWpk
zS(EjDisGf&iriRd12|yl8F+=61K%$Ha<x+?Va9F4D`p+~Q1p{4l1Al3?Nh(D&;Lil
z=+>X{L;LhWu!UJ5K%E<VVv3TUekEZc&s{;&KYGwMy~8L&loz{wh39kq#IW3!|E^hz
z9@yU8ep==yA3BgtGoEh{$CGnI0TWt!Fs=5;|7#yVK927;`BWp0Hno&>2l{j&uk6Z|
z7KQ+}>?vw|nI(aHxcf>zT+{{g8jHk)0zv%n-SN$Gyd*|*vkAm))&+RkdOSE$2&=M7
zRLIFvDBrBOT+giw{LNX3&yNXXzib8L!hLC6Irg%dvxg4a`a`?4_lcnE#y#RugEAQN
z;=faGis)d)_KzprO%$6rJ~u9i$l*z~xW1DY>CnkCuJYZDgkqK+uRqtxVZ>Gk+m<jo
zSgfdgO4%=lhfjEQJUA_ncGdO@yN}W#t?_2QO_(_T)k~@HvLfRhb8=K$;93slRkq5^
zmcV4s`0V%m3aB9C+B<TR4#Asv&CBZ~kx^W(eCmq={?|MFWmh&Gm`WT&&aX=0+ky4R
zu2m@F?%d;<{jcfpxUV}k-%<vddV8!^QkBpr=;gTVA{{FAf9~Q<lSSgR?jJ!vWlUJq
zxm;<X3%rw+4_^n%;r7wpA)ibs7;v8J4K+s>SP$gbNGQsqeU4`6C>Ir-&Dex1ne|}M
zL7M$*hdkC*oUU?jrQ-4ztK_(FJ&@sOaVSh8V_nnjdw=6pupxfrpcAt`_@4dJR$-)o
zZn<TL$x5m?nYGFB{1ttuG<>$mF{Xg8-(;Q<EmB2~Pp70z%?!YI)6vB3>53Tks?}jp
zTn)9_4H#on25`>EbpuIX3H2rYa;3f1F!6}{N_LSUczA_~Uu{*wC5otvT9O({{=K1H
zA8Z71GCDzAdz3MzD&c!*tQvk$BmM9LV_>VTW<T4hj21hXFPUyt!$a>zC0Te);JoOG
z3@d_y`5DIR$9}2ebhX9o;~o?6vh_Q6BaMP#-=go@d#R$*W_Oky`KEA5F7@t~77DiW
z3=h7#t%7A-H2*id&7gqysocIP3dTCN83Iy~B4)9DjGX|wQ|_zyISPLNe&@sHG78qR
z#|Le=Nv!!R|J2nl6ikTb{l_?`i~*0!0!|16nB0vht}UkEoii)WS8bH=0GUvV*aBcK
zy>%hx5C!kn4|ZIfQNaC;Ty^Ck08b4JeUe!ySi*JKIWLopPabT^D@g;`88X%O`HV8^
zE4lHP7|5g6qWRB*1pvB1|5P~sDB(ZLZI#Dg%c2akznI!>0D&N?^j{|>tbac7J&Pud
z7ZtePJ-G@n^n<@+{F)-Zo~_=xSS5jwASE%G0N}vO6tsOn0qg5GM0rPv;n?EFxOKh&
zeg~SXZju!6WpDHjjX+U+%~zvhvKFIVx=m>Y_GBbi@6g+uBaG*a9G>*^1Eh8QxNm++
z9@WpD&+A+jM9TAqr32*z++G@5d{iQbZ?gw_i}D4q%{zbfGZ3&#?t_9}w=8~s{A%QM
z7(WiHzMKuLF#}pUe|xU03|1woSmg5Y;mDPRU?DIAH{J8UeZNZKa!}ZvoOB-ieQ>jA
zN`)y1M%zAozQz|jZ?;H8gmEM9yOo|p8m7RziI>i9vUZOTB5mwSxKOa*ec4EX2@p@l
z{MER`aT`zDypSmuCN9USD3DCx(Kg>}CuT?(+Gf9^%FBi0lkZ1YlZ`=bD)CqGtSBzZ
zRfPJ=a-p_W=a4arF`SI`_i_~!#ahYq8fSkly#6v+Iyk}z=E}Z%2W=L?p%-BXH~!#4
zjjtOhYO{t=C2DzkU=1(Y1!+xE7B|Mv>~3iZG6c)uo*3ix!uUPCqk1Bc2P>+1bgE_y
zK<$j~<oaYG{K=B~ZTB%=JU`<gwK>cH%$*#b-=PX&c)79E+YCO`q8u!&Vlsf{e=)+r
z1A<uhp}t)qkRP4?<wSd3(1)tOb|>Bx3gXj?F|L~w1@OfVVfSzueYhiQ`h6-z5Nn@Q
zihcPZfbwx(QFf(z;OXKvu;-j0miPLYbT9<5VUBuE%1IA$1w>;)as;u(Ifj#ZM+kv8
z)6e*qE~r1Ky<NT5$B{gDm?u{l)xMwW{Fkl^B}%7@8s`O3?%*+_u3I9wrLJN45$J+j
z_i=5o6++v+&08m`L@_C1v){|#bnuoKFY10EgrYJ_>eZtp960~nDYcLePXcW9JmrNk
zi}%!zDkX8e^02n|`e8aqN_kL=3WYH}wRFqY5D9czeDn6W4jmGjsndmP_^X%6=3$p4
zW*%a5PG_aVmNysQSTBm;`=RSx+78m#)qZ*8Zl4Zp@c3jCh@x0icSk3sLk16A+Elcg
zp##JAH-!bWNvLC#*Jo@Xhw7KDkNZ8;fs9*u%Y0|V@W2bM_ZhtMC?%D~mVaxlZhd8$
z9xsjq?xv<jlk&LksQtV4dph8lI`e{-DS=!^9ki@Jknxxw+2H&0wf;?AIgyo;m}n~b
z>@-6GODZTIv0DfB(+_StG$n<fJ1+BVd!mR*@btCadOBn=d(eOD$>7FTSDuGAmGH<8
zvZ{|I9mtDsT<gxuBJ=IaT=pzwWHV{=_?$|IiV4$oLSb^KaCLL2Ya#`IYJWTv_=^ty
zR(THtHp-(<sp^}5$Eaw@?2?)7sSBsOqg92+<#F!bshf39Dp-2vOZ(j+T?mTnX>z|$
z#?4v7H+W=K@ug>*d|HSec<(`7M_&c}+Ea1$ZjUP3NYVtxB=ljc7LQ4;k|Nfb7E6mo
zsA2g9<JQ_Xec0}mbh2nb5&u<o{is+_L*_`uk%t)ua5hq;`P!P!eGv{fm~~ah`KwC;
zXAc>|3qG{7GEl}VqL-@E64cR8x~d`9(g@N#oWJdASH}5(C;zQWQpew1hrG`!8$)tr
zs#C-s3f4XL>3zFH9Rq7B06sv$zi8XIO<*T?wWv!Q1rJ8v|5!eyhL!=Z$fu`FAZ35!
z*;h0wcDs0Oba7R~%mk54yB1RjIuUVrVGWn^^RZi*6I9Xj*>?S!>t=9?Y4FaIEGpvI
zVMECT6&%;{T9Q6MfJ3LkD}(D)Bz9b|{kofqdX3pFp&S6-wMlnxpQWOCEJvIp7X_<Y
zY*V#d05-2){_x3#inpgE-5=yD;oj{{d(Be;>|e#DU0J1I#4D<lvb-WrGqYsgss@lc
zyXWYUixl+#FH+Jzn~Y7rrrHPk0h+AzNcY$DBJpywWVnDlx@6H4<|Y9`+RIOE@>E8z
zKPN*Oin4f5c5eRYFMtYxm7gVdl`#D1&OU1!DcpEr;HKJF0ENoABd-S)F?x<WPccgz
z_4O1Y_csEhBu@z*<WfYZozyZW84`v>8(E&b15i44J~B%~0Vgkt=f{5$Mk6=-)6C%j
z?SuX!GzT(bc7k@os2~=1%9}=50>rLTI$!zAW8eKV=XPlcAZgTX+=m_3a<$uR<~ce1
zd;RD_NEjdL+l1?EJ5NC4Ezea6Pgy+oxb$QK4-b0j=wIhzAz+fcO<1==8lOc!X)2ZA
zLI*D|bB!P~kk_W&Ij<;%V-X(?SY~ZNm##6h>jS2cT)5EZaaRJ*@KFr&!a1<pQyLd+
zO#u%r>M2-?qj8Ky$J8@++!BA-CbifEM7{Zp^X5r7c|4T;sx3S2|JA+}EM)?^Q61`Y
zO``bu#_+KOGCP`N|E@_)GzR~9d6Cvik+uIS-Lub>9nTfK*%JB32!8R1x4P8{V}#=4
z5ymBUH1d6Lao~UvNGGW%`2Q3_m4<!e+Tt9zxt%pcvC|OV37)jc(H25ZMf$RJ3kTLw
zqQf6-F$Axua~^hSf_VK~v+?PN8?edZszdb~1Gp9Qkx|LLhOcs`?zShKc;Zz@YJs@{
z3}*Q+lWqv$u}fyNY+YQa#QW}9+UvDkD@`g*a1_9|F0_O~86JFSe8#HIMjwJ>sn#@M
z0TkLU;mn!9i%o(u;V0hff$EfFq46|7a*qXGF<;M*pBu$e-+Su8+>@sG>0y3MI<(J^
zsfQmQEG0gdn9&7;teo2gKl#!4i1)VRF9gtwmD+wGdCh-Th8tJ%2;gP4kB|O562t<}
zzNJ7FU6^Gr#Fyp*nB`meN8qUt9?!X}%=?ZGciA3y*`5=?+<m*Z9IX{bm5XyR)uD8t
z{7zOSjjZ+O&yT(y7r~!@R{sqt)4?pX+hg8M5LFjBgg+>fP%`mp(YJmbC{tZj?(P%B
zFmYvXuj69)#Wlch(={FVULbz#Nr(_CHe3HxXctG}3;C=``*lE~&-7*rSs3GoZRg8v
zBvIS>9@=T?z=w-xMlOC8MvvN|4;R{{(0J>WaDxpx;F7|#<z0mc-ZQ)GJrpE^L$j;#
zeB;`1t6Tf2Z-FRoiZa{aC@hCuBo+FNE^Rp1;o%u_orJZkUv}S^mqWVn(bD&=+Mrq9
zy)siQh6HVc#^k6x5=)|@Ss%4w)^qE4ZI3u^xh)>(GepMq4!6|izH5V_-m8cC!jkAh
z<+K?bQots$!f&h`Iv^9wb8ddW6!so^+{qYK#EBWc*Bu5r5aBpzv{ECDw|&h*$7Yn!
zEnTZGE<y(`#lHFWpPno_pRfpd%tS$xU9PI)EjlnUJ@$RCyBrpb*}i?bmKQeOycLr`
zr$Yp(<&oW5jxY=>O%oJQ!KZO3aA_@1E#wW<T$z@~wtdVjD_p9`5q{0H%0w52+QYaL
zUX#%;82qH?R52j-#kk&}F6{A4c9=?6z{3fly~mo>P>FmntSmzhqW(ygY(1!m|8)k2
zMVwJbU-d2*FHe0?pqiGv&{0D7x8L=TOVY5Nc3`x^$N((#hO58NE8!pi-|2~oG|X*R
zNsCZ21m)hdB;7J)yfbt5wN(ub#T#e#W=a{s<@DAM&0Z9YC+7J6yrtns2e|?@DPy29
zy-O}#q~PZ$jjz1vG^`KFm&=qj0oLfv4)f7e{4KztT`5mPqj*-&3-YG$LN@B)rx7Z~
z#VV&!j;o_B!-309$_&bU4*IWZt6)^v)a}o4YPd}LUB<~tfclY|s{FkwXlOisYjm$F
z3T8bv{W44dW!2B9(nkdYMDS4IIu%SvU}>md(**|wcXM4k6?_%v7*`&*#_OkV+Sjk~
z?Slzv-hZ4bXwe&e8@?#vx9`F2r9S|6Em+yj+@oR)*GKkb^)>!pkdO|RG>20S$ys8`
zRJ2uNDbhGfMuF!&CoUPA!x5gIYV$J`)L|ul_!Y~c%Rv`kQ#*4gXS%`9*|?^&)wk?e
z*=6wYe;gggw&t)BKQWd2PYI!;F)aC`1V(*Ll5Eg3hZh~<PG>}v&^I%0Q|u=aCT=)Z
z5Kc0OpUSQs0c*NXl@|)$s4Rjb=8j030N8M^i)~(gO)nJgNlCs~<Fg>S%D8fXfV*i&
zE@_f6QOu}oZ!SM(7xhP92?H26{XA()mq#lO?j6QCJebOUC|{HgFtZ+7(O3?H-v*dj
zrE;R(ag|QB4gzxaT`kc|m%-56mt%*7IgqY06un?XKneW~%S4S7W}Q^7D3M-|N2r^n
zSFf7EzMvahIyfcKceiHSVjdg%-Qas=xL^u?T5&n*N5t{W8&B%t^Q`#d>|H5)H&bA}
zsup20M#7pF?*mOeEcjTFZWv!`0``}>mY*bu;?@v<ukc6~RGnzb9ThZzT3)KIwS@?t
z44|HUevk$G>ddZgI$;d8(*d$B(!v-LylZIu5(^f|FAnH*8iB#J*^(lX5H2*@mfZQn
zg73on->I7z0e9Bl^&OgPK3vIVzABLw86Ad!XKx$A&~n%G${_*t$#}BC)QSyX4%&RV
zC};@#RF6;Tz2rx^ZI%CaP}d>vzia=Uh%<l#R8Hx`>iqaW00030{|uLRJk@^`#_c_`
z_nw#QUVGnTM#^55qCr9`A|)v+DQPK5NLJF2QBi#liX>4&nIRJChh&eRe?PD1^?98?
z&Uv2aZSj81*hP~CADt_^wQs=yIR2`>SP13CnK}oZU>8<A$C6o<c+>!n4WzZCKj%T|
zy1iL%uCk%^-Rrwn|LDV;YcJlP(cwYiPJRXJDRvy<N+c$a=tFpea`)ptZp?1E#vXf+
z6E#XlYNF@$AVDu)&90Igzm7?4&0FKb@jHQcTI2MfxoM!Q@HsasUEUqO>j@8jEO)pk
zET9KQrE6jbM!B(L%X0ir8XpGOJqk@I)`d`p$~Av89+YFy(Kj;S$H*>ffV-70JWk;y
zy?M!ly<4k&S!tWlf9GeZ=3yPMxi8T^vX2-4s}E3e^A^BIS9x0uQgk5s{N~GsVtiOs
z)AUz6K@ign*S`JJ*MYQ?<f}^8`OxGorK71{2&F#kI~6*v4V=w`51Zuq@iV6<o4Ke6
z(w^Bzi5F<YwRiUYj&J$#cCgUFM{%NP^+0hV{(v^PZhC(0U-TyQ`z=mYW)jCAo_=z6
z+S;&sx{HZ#vj8$nabLW2M*_oBgZ7EBXv5EtmZK}mg199oDeR7u6y|6*<>D|E>Q0QP
zNlOah@w?F`wc;{(vv2H+^am<jyv!ldp)8Dt7r&DdVr5a>3IA#$6(j~ZAB1lfL6Psg
zyBSW)VbIDq3Hn+pJe<66L;JKS25_u6dnC&v>(J+C^{rHhFxzugzF7=?N4hN2?<ipT
z%wC0OlT^s`tT`q@mcT#T<-PX3R74Z5E@!f&Hqcaly)G`4M5jlP_IXGN%{mu5l6<tm
zV$df3uZ}cERc&u`;!(j%3>{U{Pqg7qkNLOzUu1CEan3u%L=_Xx<<V?Kb)eNlff80P
zi<B(8%H08K=)!03sCh#Nv_7}&X3m$xmky!qjpx;||0dpQR@a5Gjy!9h6nVTuSLpL4
zhlDfw3Ip|>x{$E@lAr4_1su8H?^JnL0}XC|46)4A1BX&Jo6Ww8=<?P>y7inUwx4iw
z`+7_t6r2;bi`gk5MgAL3+LJN&*~K&ue*?(-(m$_EQpWmuZHBY~GU{(BsVq2X2=#;2
z^Il9U$m!j<a|>wUK~asa^3z6OlJz)++Ny##PCxkRwqFZ>xE5^QnQIJfQLC^1C8^?V
zOIZOy8!bF~*GVn7$pq9Gh=q^JYG@d{V*9R-jPn(mziR)QLXcg?K9&+S3=~;9E1^Ng
z?V6;zcu{k(bZa<b$)%2QC%>ELQ8Y2$DQrHNLIY!`;l+3M>Ud35`k3N>Bz$7T%^@xh
z&~rj+{<ZIho;5@+KU5v>WvkA`UjjHF7boPqRUMfR+D{6<P{r}myy{ak08=7mRkFP5
z*rUC>>`S*Yt~rRzJ+-oc>!0lH-xsT4QKz7G)1V@9IGG;LIb#7n_jha#kx;`y#mIuQ
zz4B-((9U(U*a8f?1cYpYRFQMxzewG0vUvJzKwo2x1^gCZ8@_x?1r_fs{;X?~!dX_H
z7KM#>Me9fG4v&<v@>`F%jgUCDFMFAqZv3M=6<hf8p%Ml-{hNp^6h_f59|@sE3%Hr0
zc!Vok5tGCsb2`rpprNR6$v-y>2+q~&cT7+~xo@s-{x<NT(XGJ4rXm(#Q}J78#a|xt
zpSpbbP|Jlyyka|zKLM0`WXb>8EQbM;U5}U_v7u*f3P~gZpnh_CB7`i9Dwg(w9uCat
z)^`3BK?P_fr~WiGmPQFHRG?jAKoQ&1#?PM7Kp|$#nVu|(mGeJNqy^I9cdaG9+pIL`
z3D`~UHWf!bWg{l1^i|^HgJQWr4|5Q{(NSa@B#LBx?H(cfWukl4`|VJk8RT|aPCb4u
zjD1VR18yyg#Ee_Z#eiv35PcP#a#2kP^9H83^fN6InY5{{c?(krP!uRld?kPj_0@&C
z9SeksFt)p=n*d|8pikDZO_+K)^UM$BMIv^7yqoE_G0-?Tv$s0(BeTI#`Nt!Rgp}mi
zbAMZ7Sj=C~cxcau;|+!%<LH)&<eY;KtMZLN^lXf^WHS#k<Lxz%gDb@KbB$Z%SdE~w
zS!hJuf*W5ddrD0St`QX?5g~ZU5YkC0l72IsSWy1Jt$1mjh~xNkrQoXpyl%-?AL`-2
zw8{LPd>r(+Ye;{xce4QuoAq7KU1G;9VLHLHWCl#rl{kE)MjvWe_<XA!*zpMY;n!UU
z8BuTNiA_N|`XH%QrXBl%4O=HKrYTf2p-4~uosP$P5ZtSycj_b?Dq7udS(IhLir5C0
zI*J~2*MeoD8ykN0AJ}|5n-w#v*Rw6FbisEoy=ILE8!GLOv$xP?#{skLvPVD{4!yc?
zGcA@4{|lP@ePx&fk0sD54z}t5gU#r-hE_HdZz-y{{D=!zw*)eJ?$dz*A9bH78+I&t
z9m{>?CJ$1L&3yK+XoIoU`7-YB?6`I9t4O*tAC?e&OD&n&pfR3Z3OO9eGOsiwbbud|
zv`7(M=Gx%(DfO~wJSSf6)pcpQya^W`_U-vRMumxmqC=w>xUk_9UzmBT0KQJ0l9#zf
zg{+e7dr-}dPj<AJ@hA%67mwU&vNIKWmF5nu^6=sl&MPJDmxb}0)K&2$9xBY&l`Gz`
z;lq{ceT#A;qL}DzAN=|Y1x{>gnPm~>$FNh)`BBfs@Z~f8hV%C*uoAaSPF&~5AC7N8
zH&OzB*!MJ7L{ordr5^ElWfSHKMV*g!kwTf<3^8iEDIgJ&f4YiK5Z4|^e^hah!TwRY
z(rE_@kOyxx{WB55#Ioc+?Paof_{%OjBU=i@-&d2ijTJ`U04~SS7CD?zzi;U1NP*Y6
z^T(h^1YcOpZkeB##{+4<4e$9=AX6ddqm#23J{9m{x<paLO{9G;&8ZaF!QhgX)h~{f
zEe5ZM2qm0dU|~4^jsl`AJxsHSk~s1)zU9DMWqi4x*DFMX3Z^aLqYrGPQAjsgD^*ez
zl~e6IPoAQ}VZZKa;E~0!3-^L)$JLO7Ii>&LA{D0Hy@pJf<Z$$v_LGP<b#&vi@%^5r
z4LmARS)PpY8@|y^nw8VQx`Q|9Z7g&k`kh~P7P|t@+&xY<+pmd{MMLg4cyysJ<^Wr~
zpd$8&t1Vo=M8?QpqJbt0x)7~a-2Y8h2}K(V<z#Pa;RR){Gapy=pxwdSs9s$e15yjU
zuNqNMY;DMUM9Kh;@LoGwuBn3IcG)h~7bvKI??F(nham)qn%s<0RK;rPlZA0FDM*Ra
z`dWI|2sD`!jSjP`A%9nN#@7Z4S|^>b>RdL4X*0&cm`*iZ=U48$SV%#hD~0X>yG%j7
zctAKYQ5~CR9&5b!reG_>9%tp(W?=dzV&Enp361sF7+GIv;n;MX^<P06u$$)*-eDwk
zJI3st=1<0}2mRw^Gyo|2`}4dDNq9!D{=fED8n{=`nCwjeJP~W?J#?Rh$wK>Qetb~J
zHASnCF`5PBjJBC9ogiVh6s0xqt|~HqUTO3$v4Fjn63)V+B;-8tu%l|5GWyi_?=)E1
z(6^UI+}@beLm<t<{D%VmQ>)!f)3t<$=hkj;G^nA@y(k8+C^?L=+;h^;)e?GU3kzNQ
zRZ(3gh=@0k#&eF58pU3g;9LJj<MbC5)YLs{m0BZ)-+C(>cx^4g-|vsO>tkgU$Synn
z=eiKKeo4tNk+lT=Q-1%(HukIyvZkuO@S}CRGKcOj3uyMNa&y;G#5cjy?`PP#@l((J
zpYr(@klR=8ymd$(Q%bpQXIxoP{=w-Q33m$+tWG~VeO(R(g~TfkpJhO&sy8Du%K(?b
z<zn7eS$ygtt@=`Ml~9|S6I9Fwa6a}swpl_N*($ulm8<87lBWX+4W=9U)za2l|6Bs+
z`{aMDzMm%c#-&?}meWAIo<aS6gc!!$9=geA_?y@~^X}T^33H%hv3xh?xzPiCO8@0B
z{v`bVW0sv$G=~6rlg#?vLdZkACJ<CGOt|niO26_m19`4|(f5}GP+cQoBE4;pP~Mu|
zHI`!vGD40WK|lHNdh6}c%`iy#J{fwZIBWv?TDF&L0{O60Zr@k$=Ys^%m8IFOZUQP{
zY1ZYkJa|5e^>;AyFaeL&KUf|&hWl{9+4m(Uh7UjedvoOnansQBedIeM$ZeX{TFzld
z=i(g)TTcEYR`+j{jgmG3CEHznDUGbSZFV2O=>BoSTa#tj_=F*Z*&Y(;BeS5{=~ufy
z=S>os&!1X9*vOqr9?gywpO~;I;zwu5wJAc|d!Vh%)Bt84Giv;Nz=+%ChLZxqW{CZ7
zTpjfb^uaaih24o44A}UeCgoAkEFlJdMRJ?;;qkEZhlg|YDB2(D?{RXD_)vq2zVUhx
zBN$XF=tqy;2`O)eau<k*sd>G=jl1SsJ9_`x3?0hJ4;~X4SR!<U>;9&O>B7sdxZ&Uj
zbZGu0LI1V>DlseI5p!Tl2TE@zzc)>$!wSylwD^*BBFoXtZhx2#Wbq90GM}Tv`5kTa
z<I?mvf9YR%{DL-+*b)`x3+d3pJb7;KNe1kAQJ~orx4{=4uPPmXZ0PNX^Yr74_}bk?
zlg6(NS00tb=K?)0e=l0tb%Yu1{(W})caI7)0%2bhtLahQwfL$dA1h`Jt{-MFp~7RI
z$S-v+45;8hQ~I%yw+Hg)DT$pFV6XNp4`pFQwI!kB2kvvA^R-%sf=CKbo-s&Ie`Ul>
zy`3&z_qp)#wc76M5)_CqxRJKr#Dw=4nNkDVcn}8FRunF1!PArWZ!)`?G1*G~t?3m$
z+!^*E`O_~lcm_;~b8)d^(gkVir%(L2-BR@3xEmR6Q*PD{`Lf}~Cf+!1jg5WWPtMr(
zUK4nat%px_v13=Li-L5XAbQR$sxUfg!jmq$(>9Tu7$tRQkD<OW7U+D=vi+_Buc^Y>
zBr|TTC@N&TGA@Ge@8-u|jMD&uMHghWc=6J115c+~F`P<Y9!b&H0PYhtCi{x`FuB{z
zEc&GcmYVAsSgw&E{MUh_VXgdlvNYq(NS_q)EvGoM^pe0teM^H9zX0C-xr;YZKo+wn
z{>wS{nFRg6{XY&K62xbJ3+KbO%HgcWm8(5JNWi?d#cFX>2rYY`UK+k7k5dW#`{IQ)
z;Bu_F(Cruz3{_A4n6#{b!?zly4+m>NgL-yejkXvTYg<kqKB9!=KGx@SV;b<^z#G#A
z7765-=qeeTQ^xu8JEN8_Yl6n`bDd*LlDNtCL6O--Rs8ZG{lJM}GIUe9zdquU!AEul
z7ZNqp@yd;DoDHY6pgvMgMJ-zvGo7z1_<ts0R#a`J&_@1N##Il+)XSlb>hCihk(ww}
zyqN5!L4|Km-uuMP%HwB)*KU9Lv~W7Xb<#pu8|*BohS$i7Xf!iAHMNC;&!gt$gB5ik
z^G|VzS*Q}epifOYutLFlJ3GZtFJ0hSd!Wd+;kPE=hs3U@Q!!HNQpCMSdeG=M`!8Zb
z1!-KxyvaP;7#nGcuT%_x<{9e6B&CLl@gukReYNq5>HYkpuMOcjsqTuksXF?%yPe-0
ztBroeOD}Xoj6oo;^AVo~3Fj-FlZ^wlG22h%x3a1!#2Px64ajR?iPOm6SAyDD&x?nR
zewx9^JC8uaZyKmzZp%Z7qoT89%jLUSH2Ac?rOwnx6aVwL^<1`$f*FB*JGR{ca4K**
zW>KJt7iPFd{T;NBM{ekB<@OD(Nw<#kd#s7unoT0~TQ%@lxVN$Gss$vN80XC#*Ti||
z@yFhb>iGS9hy2etOSrQ&;70G728s$@Qu{}*f{XXYSEYYiLP0N=<2_pq+|m%S8u(KI
zQ|i;>y;QAWlHD@S(w&5b;nt(It+JSPnvyYMYXxsT)k>Pl>iFYY+xhNd36!qsiR!Yp
zf_3#jT|FB)C=%43H7F>I<lIx^=}K16+2%@HIi!OAhmRkB#lVmGye7FJla>(PoA-x)
zR0*qWb+f2k?0D|P(E#4Nmax=tMfS9_B3d~`RX%s3$LT<YZ<;oiFud7jZcCLs&V8I2
zqU8J|==vlpWcw|ErV}D%EF*`p?{4krogE>#!$)pc9JYY$b2lp9E6CuH9i0y43~vYq
z8tpjWD!`Fr@{>j?l4xGJ`0gUPjm90PJ6@Iyuzg{owP&LTp2|G^EwXcvCiQWEazYSb
zepkk;qZ@qKYwb1Niet2W))gP3t!N<iF_kDH31aqIMnj|9B(1KBbMfO|bI6Q5ueW!I
z9~0|Wx3SSr(R!4A`Ee$j0n1IPUWpsLnA5QGpd@38W<!7bP)oTf{K>Ua>Tcr1W#Qe_
z>Z~c+rw=s@?xQBqo!8e@?Zbw5+`~<LwWnyTBTsK<%a}le**^!3EzCF@N!Qvn^@o;7
z$@WR`HHLbe>wJEZ0SD4E8UFH4(x?t>>u(B-fGm<XyGxo5*ZSEmYLAc8=6B9i3eFgU
zMt7rG!Sn`?J@r%O%^9Qh7-uRdS{uT^@F8*xX@PJ%BgFa0c9fRkG{39hwgKp?SnD_S
z%@Xmy4pSxm4%1Yf4s<v!=tKAp4~F=aX#xks`}dR$(s+Es-u7<S2UV;+o4oLcc(bRk
zgi&aK*2Q?}F+b`7mQ4L<$R8(uHaL&Qv-Qv_`qE6R)HgUwBtMaTe3ZxuTKxLPs*5&z
z{8CfKEnV>Ai{r4W8Yc4p>N)LeYNw?n9e#I_OBW6pl?m}LekUeUm40#GYNOTXqzeVb
z>%h3;yW;(u`-u0~uhif2Yo>KsrMPgdX+xV#+w?D&Z^V@j#bs;Z23mWDnZ4^NZP>mz
zs0d3P#HGuX3j+4Fw7gcWqf%>BSod%UDJQiP9A?fD2YX)7W*CZ&xx`a}9MC`~@}-T~
z*?6_mcB+iFSS<Oqos$YLLqY<@8(Ro=txtl1M+#^M3HpZ@Zc-paSn5J<#(RPxEcgs(
z@MT)uRFeB1WePM^sh?Y7dPf|S{*Q-YJ(loSXU#r!L<=aIS8D6$-x51*pI_;#$tF_W
zB1z(zWY|hvxOv<64Z(C`QM-??ggCOmuynLZ6J%9>*SBic6NSe74-UyaB_79ZGWJ>1
zfG=I<4LqK8#LTvw*E~GW2$uG-*r$dXpyczyRsLfw@pSM^X53&6;Tp+W>=Z=;jZ?-s
zWvR6U>u>%s5icaPgBj|0U#WvtRJA$hrCOqZ%r*JDu8uHG45n*iQ3vjB9p$;ES_0YS
z*nXP6CC=G>EDiNggZdlk2hW?;5xWG!j-|9T5|+2urJIXY;l5miF~?{fF=xnc>K5~!
znDMiC_Lfc+C^d5Bt+n+;W6bWlHuo07?e6bx+AbBi#x$`?YI{TQch2bVA-549zs3HQ
zc&!YQp-+$O;BO!}FS=BSw|*khrUj3fDJVld=N4L6QX^p$`1Xy<m3D&3+`lRLq7t~o
zEQjr)HW6-&#qZcpb`bZd`N_kJig4e1>rlI3Gr`+78hz(d7xA+q%SAU>5okr*rnl?1
z5RPo?&23-45s~liP3`@z0BgqDQ<m3TiGQjQ&BLy}MBS3~A@A)9Aj$P8rbqG<!NYob
zzL0l-(0zJYZoNYub}&6t-ktuLxMs8^(T;tP_}I0*+tO1WRJLBBlQ;N6e38?0oG2S2
z&aalN@O8@pT6QW+v2+rI=jCyWq#p!D<K#2%J#sKml%d|j@|DmqJVV=hVU!5kTnC)L
zWudf>_+n|^O}zVca^JOvG2+SDZaK-5vcR7AtVio<FH!u#`;4*q1Toyd>&975Ss<Ox
zE13%%AoB0s*vG#(NzmWzVhjQqD0;F;?$;e8KB${SxW`TrlQCjU2aZU?F?F{z^Zp@X
zGHSV|f;2;@@g~`<7D_>mHcKLZ<qx7PrL@h1WtNCBc@k~>LlX9mEKWGR9wlU>74IAr
zoFi^jlu8+?O2XX9suv0CV}uxs&(W%#3xxDw53fSF1n?<@_Vu2gAY{d;!bL+%#I`df
zle%xk!SLX#4~ABMh|iw;HGQ6}66U)0qIJ^ZKzDu5FPV}lVr1-Hpl<*jl7gN-Gdd#%
z(RD5v#=B++JDwYATVxr~z{!6^V_X#ei*Gt#M4KfJd(0hZ;$T9Z<2KfwyF`JKR(ik4
zbB?fzj}|u}v7qGZZC>}fMIf<K^A}I?0^!uV8k2I44cjaBEz<UhK&uZ)%++|Ac<r{S
z#YmYGcgbW1=Pw8Yy8=ZsU2u)?Vy;LH;^9FWd0RqZmM|!G`w>1lboe+q>CyB(KD2u{
zopZ@W7)qkHyr}eJz^dr*&g4UzP(1Z22UT1cLVUCxMBJG0!GUY}ae;!ECDiqRYe@(c
zrrW~HqgimT)?fFsTf%7CGv9RhpAf|UQK%q)XG0lFd3r?_F>H3GdwP#w80el{t;$Z~
z#My%1?|I85@GOJ;l#GWk6i~}j<0E+R;?-cT(gJDJcm8?kZKE)_3dmgR{l<raVdf#H
zr)BZ@(Fj$!a1khw{jZ;#zX|KZJbu<alSf95DZ$FUqVPfV-fj0gg4j(r{U@|Y5&g+x
z%U1bfAU%6&z3ZJYh6*oarq(LsYf~+2aXSe(&zup(tS*MRlP|uqu&5zpZ^|9}JyNh&
zvc=$0y#%fdPO!>^lW<qZEDkfs!t*?i`7bx6F^zSfK?f5V9m-4NNJVlW%^qQ$+b)YQ
z&ptTEyMux@Z!YiVd7uE{%oDVzD0#Fur(R{Oq2j_O`pmDA%1|Ut)_7s4h(0@pM0QK*
z;OWg%rLQ^E;9{%F1Q)+D`b9sq_lnfTh8C9m>t{8<qN~7MU_}K(v{gpup6Q{w)W~wQ
z4Fzr)a0LFFR>KC7{1dF7^pURKVLdEe8*DqoIk?717%s2O67$dir5SS0A0q2P>?^IH
zCvBSOlW4|%*1!-=wMe7@HbeN_7#-++TMPN_7kSukH^kSZ&0h9`Ch*IV)^sV8f`5Ve
zZS}eV8a}yu%*n(Ym@}L&3|mu?U2moSmXrZ9JoZegehhFk$a+s{9TlZHtGQo3(!;aQ
zug*OqTf%|uU&|Odwb3;swc=2<4*p8&O%+MDf`51IL0Lo_dCD02DehFv<NG04Q(_Ii
zrTy+Zhp9O2$sd-ktBIf0PQG_NZv*e5?rcgvOvM2I)eMjQDyWolDh4ENq2l597xn}N
zL&i!QyOQMa+J5#2QG0EHKF{&8RJj)V9It<s{$2!UuPj<>?6HOU4$dbR(=^f2b*Gfh
zI0te@3-<cU+d|VmcgA8h5=ND8jng_dO{mW2+3}Ryz(kwD$EBO9C_H-f%hTd<8i(69
zpCMTra4nlITmDZ8B`+RLzpl>+9BX~4jZxM>Zx%dJVXc6@De<|c0^CsZ;^_0Lw^ndQ
zW!tmm0$F?|(I@fUdK28eUFbvOvx3@$CwrYh5`S-1dttLA2pLC&FU0S*1i1vu3!YIT
zXfOWVi}{-{Y-Q*&J5yl+-B!X@9qXIWN-I>Di$@e%9$gJQA!q?rhd++JujWPtHFf4o
zwW7fDR8=@67C`iDaNwvi3#z+h-&_<DgZad9{*9UiYXb#e-zBUOSLYI$yHqx4KTA)^
z?zcH`UG{s@&pkt^-p@9m@`yohgJV(zy*Z2vyG==W^$@n(jeRV7MB%LAE8#L#Ghm9^
ze(>zqCK_*lhqKllQOK6de4^!N3VxgiTl{0jXx)>FULSUg!Y!5?)wDtrxc;nY&DMFA
zmULGAy|Jn&Slqf+?6YVL&vW~%*)A;8zTFRNiCGtcXpz$o4ZMxPe#yGFk%=B&SQO_@
zjfp^&Cg1fJwMMY}Qyg2#3?sA$#b*@#6am$7->Y<bMo{B#WTknV1scze-hZ_!0tPOe
zEIwt1@bT$|CvoiT(4M&U<`oT5;J;qHW3#>?#5V8QzrL9h#6(VB`FBhdnAL86-(PP4
zDIe$5#r?P;`K@7<TbC#>{OM#m;cWoS(_4!V@8E^C_vJxNZekGh%0({VpFSum-L>-1
z;RA#1BI+jNVqiBvHLsef5A|Z~j3O!gP<PIlV{fK7?0tN<y~9=?7D&|%M~-ZQ2EoXw
z_I(miJigoX#<CvlC$}n^dkDbe8y*I%wvr$&C#X>LTo2Zc4=&9c3&P>fX>V7M0?LZD
zzt?F!pafl%Xi^Y@i551#F&Ak#MK(=j*`^0aSF#zeZuoBX(*7-NCuCr2{K^ppB|V4?
z{JwvJSp-=78zm3#lm)OZ&?2$wK~spbp9+I0#Oc2r`NSv(2|uN`6#dnOLdRe?7gjM?
zkg*G;R>}cWX(f^-bm62!3rRy*92~D*wLTpx4^zPB<Nik%EE?qvwX`I_A$0ZXVX^|W
zNpDrEUDXBV*Y3$@T_xeMY5j*2e-*%~eWI0LTn}!<=`8+@l>$$1Qu5mxMTncE9~!XI
zgX6Y*N=sGJFx8$#Qb|;TI&?quELsng-}I*C&B*{7Jp|Eh$^gx(Mm%+T;Bj2YrZHO<
zz8}1Dq?}I$41G0SjYRapE*1>`S<6AI{J|X+A5>scrcHQHv_2f!E|gmSTMi-@wxpkm
zQHB2j009606qk22)&C#IC3{~N*XDBFdu{H$uI)Zml8TC=B9y2|Mnh#pL{f>Yq-YRY
zRI-JJq!KDLDBp~RLiWh-{{H=(*ZG|Hd5`Dw@hG|xyY#?sHuCa}YqHZcu+BczLQPE@
zSqsN%<bzFdabjB&ucaoE^}5Ut+}4KYoDnH+(G){Xa(w(fnwXH?wvR>8!QI!5hSL|#
zaDVPqXLL9PjQfAPRgdXlVRr8GmF4CTRS=rhBxqsLH#C=8rGpN_1L@*%bEF)1y?H1{
z3-!`AmW6FPh}yfcrtp>pgb#io{8FSs{e+UmwMHHMDm{Py*=|c*(?Hr}A{E~B*`4F3
zbYQ8G+0mk9g-@?{=Bf=+F+9+3o20D+GcVt2lP^}NPLOON8`0q86HHIPtc~fVoo`&z
ztl?I2y=SQp4LOW=7Fj>(X#eCO5n*Ek+EC#KMidPZ1q%sBh;;OLO%q8UZLsQF|7=z?
z4d*<MhXg3nuxZ&*x$k})gx~*o=k6XFNPZa$kNK%k_T2njr<a3X4g2;}<}^IJ^)0vd
zBLxeORLkD01KABtGapB&V2w1@(ynP@jv+d9cqPEQwa#n!92Gm<p4v$GXn?GBr$E6Q
z;EP|^oTfy@T#L^^Zw)e*Tj)*Q3j`iGq(rEl*TPNfk@q&OYB=p97@8IYSgjtOHJhbi
z!`3$;tPmB*++!8G`2lvt+frV;P;gs8z4Qo63B^*=)@{y!l6=>X(W{#1(~fvNpss+`
z%3J(-*nq~h$2V(!Xn<6pWU<VO1edbzga4!ezf*^wvJEsa`}E@P4X0#LIsb~(+suLU
z)NCb!$xyyfuOTQd1KIS=IX`_lxOm{d_~ZB0akrPXqV|b24!TQkb(*$8&$l;2b>nLA
zS~L9fcnJZrRB=bKSR35tIcD?uj4IR;{hs>1mcl%vKYCWs2146I&;2n`!PDUR+-fB$
z<n?FNRi3oQ1(*JlgMXAzDdpkPtRo3C!_T}A1*{=K3%#yZr-+2G<Uyfe32f0iQcsVy
z!oBqGbib<#h*FM>+|DBb)1387RTeG5yK;zM^s+n*tZgWI@5GT8!n}1L+!9Bp{dfH-
zCBboWZ;95BI0j30(|%7|z>LRhD!oSzb#MAD)0h&-9WBz)Icxzt_u(Z>iX1kG>z($z
zCxHwFPyNyv?mhRA{#Jcl7WKjeL3wXU*n92@oQ^aHA@<*vi5VIEoa60^QI-PjuvmZ}
zzd5Sr*X)T-ltFXug1*otDcIY0bh@51!_vRQ4gE$k$UL1ewabWrY{U3P6*V&${^Oj?
z{X+!pi|m=QcLdb5+Et3)GsTVviAm(AL|C|}xI3Jd#)*k5qk#^l2)dCu)muWuxXkLO
z<t{`dy07R>?Pr6z^+CqQdql+SWX3+%mBBXt<gpj=Y`CY{)bKVFp($`KCs0Nf<CP9)
z{q@<%>d_fFGET&yq#;6;xExmgjY@0jHo@l3D<N(y8GPU+>2#4u;8|wc>U7!!s?V*j
ztvo4%;&7F<iwt?Zy*FjH&CUddk%jwsMr5#Gy_mDdO99e`&nbKOO&~*_yx|Zai|EgN
z*H>Or#DP*i+dnT^$l*D>e`H1$<@u9=_kJni>MSQ9EQf{TaVu{=zbJ=CC+0M+JF38A
zeAq7i01LyGT~;^NlVGP<UH#>eDk7FUA067nf|G&9eh+zhe0}aXc7Uu7xh3|elx<mX
zkT|1udrTf;^v)L(Kh*Jk^>6VZHVZyVwrQ(-70?>+V6mf`j2Xj3V^K2}E~mWlZT_r?
zi5T4lqw^XNoZx|@9SbksvBolnl|W64GWst_6J4wMd5(Cou(IT8#jv;vu2;3k`md*8
zqt^0#w*(fx9^qVlZmo*S|16mO3@waqACoJtWg#pe{P4SQHRQiEdc-eF#qGa3F6v87
zu=GsVL8gy7ym#K?6&<G{PKD>0(`FNNON?&2FHQ#MP)J4fOBy6yBNMLFnn1TN#*b1%
z#<?iTIlqf^7=~@nb!4&;L~4-Z3Dm$JJ95NNcWv-^N!>&x8$Nr|i^5ekQ8-{?)g-Kg
zuYbR%NUk$Qn=m~t{<S8sYWptZJRO|kA93#gYYN)>y!Mu(6#Q0xe3GN63$K|Y9{UT-
zu>EheLWQ~(x`bnn%I(+1L|2n_|4wu4<<Sm}t<?hGLf=Yifi6DQTzJ;4XMwUuO`~w4
z!f9vT^?i4BvFrE0N}o9kFy-UD{<cz)uJmHEDM=SIU+n%7Us)orukvdFhlXPzI~H}!
zb#a)$xFB)a3j6o8-#eR4L*|?NiX#top!j#wa~*$c=y9GoYW2`CFU!B;AHNQg65Sap
z`ZnmxlKHb%h>p1)R#6{a8xxsnrA2)<h`%b)8%Uz#(7dNtizXd=`jR@j;yLhs_2PZ9
z2pyUijhlDOQ$f@XkdYGw0wr|$_kN`zWW9jcnMy5Gm93Q-;O2awo8R+;IW+W#iuQ~7
zP~dWHAmrUaK)BdStlNr){W%Q@@=G*fStrf6Hj|tGPQEMmJ)wd^QMUSik&Jx@Y*uRA
z1lnEK$mg3-u}U)c<$6nXIQ6+(UMvNschAS};`YM%1;IZxFI7;lZ<^%BogcF2!Sojj
z1X<a&td&Zzx*%G!`~r7=i`?{UG6nZ<3iChwC6D35BaN{UK#j>}!-HEi@yEjK{+=c|
z#CYCP^K=D{%ydipC27FAvnGW1qYPds1n#8M0aADM_*fMg<E3tKf3%6v$@wlEIKTnz
zHz`8@r#e)&Y;r4lK!9ob4!?^b9Q@5oAL&$8hr#GQAF-oSAnwT&VvpP4ul<9mhb5{|
z75~x~{6_-cFB!PH2irhkt;O{OrV1#(r8~MdiX)M4L&ngcHGC|DzeY7HVQv-A)qBcf
zsQg2UJK|vtkKBA7`-6(Ol5pl+yNxJ_tyjVVTCEUETKn#snF0dy)6>T8iJ;LT;Cr8~
z73AB8L!Zma<DYV1rf7%=tk@L0_6L@zsI6J-6(d1-U2<{;_xry?53QDHTjE33d&irq
za;Ugel3j6I1ewnmf-<=lNMj1vu3ICEt2w@f+tfs1F%+(wO0qyg^;-MFR2i5YlCZUF
z5XGUEH+jEO%^^e}`?+)TbJ{klm@ioj=|r+&EWsQd&D)dvgNV?z+h?`pggCwgT1gh2
zH^ZgItE3`6BFX|cnEU2Q;Q9uh?m`7KR7Xdxm?@P;Vt(vWLa!ty_8ofHbj=hk8Ki%j
zVbXZV?h$^PD}~d^vaeS$OhG#5S#!ii8mXU@Hy`jO;A_~?(0xzYxQ?xFTvl@Dy&uN!
zFqXzxr~KZ?ZEPIY?b1_NCygpuQ{_}?BC7dzv+8C|U|@W;%{GwxAEA~o1|K)S=fdiu
zE}0;s^4QGgJZYpfF$^*UWO2=Ejz?yt2@1WlsQ(6~v9|Y(mA0ZB_8xh?=i@jFZnGU4
z{mY3+2yYnl<B(v({*Pl-%)<B?o~7^Z6EW7EAkunB9+LqI<Ar`KRJ~xc3QT3NCv<hz
zhk6CPCw%e9(_!Jpsw3w)tuk=Q{=xG{MG3rXOgipNGV$XP<7DblSs4CW&|QC486Ok#
z$U!YkG(Ou#%rKXOvi_?oDQQ)l)ND6MDq^Clk^KnVb8ogvS;bSN2ED*!yP6axGI#%V
zjTs|BWZJZRO_4fsJ@&T0h+|@Dz?U^_?)y>a$d!%6lQFou*!N5<6Tixi+|is-KtZQh
zdFfsa1Z;d>GjNuPi(0)m2IZBoV#$q>Xzn|+IbV3X@dgu&1AKdjS1UsyzeRLx4F!J=
zj#f*xGU3RYFY!F90_)u&uXLAbp_F~BypErRF_VgS#6Ir2yZUWDm{alni%Qa+wJh-7
zHjcN|P)CYaOr!>ve;*kW_ustE?W5v5iJjf*@blFyyg;U-Z0zBEcL@{ZI4+?kWstFM
zEAbgbwBh8ty~Oa83I35L3));YAZs$!ozSn1^PwN3oaEU!8Gh5`jl3pg82P8S-qC^2
zSIP6y6>Pj&I6md}K@++I86VBObitF#%2e<-#qGi7<o+xQlv_=EwvFkc*T_QZKV38Y
z*m_$re}fj@@y~vn*sg~W*Qo{Jc{3O_gx?BZLPfk=`g@;3JtX-AlBK)MA>iwzPs*p_
zV6tk%`FcI**?;J4tFgewQKkStm$zer2_~)udWh?G@;*{viQ%3fQLU9UY*%zVTI;HZ
zOOFJe-#BLlvx!GT>J&OI|L1Xd{~KMLPVzZ@_K-FDnwEC{I6%iTiF2I`L|v@jDY9DA
z#Rht2bFa@9(XqA0lxILw2dZ~T^&VsnZ1SCq`0MGoI47N2!>5h^F4lP*`ozH$zv|O}
z59x>>ldt|;LxbDWhQA5`lsC_xSvW&SHqTwYl#Nu(Kl&q{90#mcqzmk@qr=!WwY%mm
z1>8GcvAGHuNliBk;P%u(CyIcjy(Yx5a<t|PFm4{`tL;uh#f#F?4`pPW6=0>Go&tsy
zS^{_0QIRJ$EH|vp<r%G0T}q3<y1FGXhefG~_<M6Q&rJninkOC@PXpi0WOnJT)WY3S
zQys<$Ma0IceIEG_NM4t#aUzt0Dn5Is%0Ut?Z(gys_A%E}hUB8N(=-tvtnY4{Ad4BF
zkB7<J9`SCi$qFjbfLfAO`>WkVh_#j7EAs{Dz6ud-&1A6aG{0XxOF;F9uOXtkz^+N#
zmDb<X;s1{EWy`1}yg!~4v3$otc1@=6YhHD{xICix$3Yz5zPVmHwT1(Sz5WMwu2;qO
zt7H4tsf*&xejcYi)i#hUUw&%cZDm|ZSx@^MAdJ>u>zxOwHdymC!gEed39SwRg`YKq
zAZPn{tTEXduFqY^m^T$r*s~;D!%`5-tsh$Lo3es~S*aZV26^bIZ1{Y(SO6~s?yyN-
zR)}(&CcTj+!M{Q%GJKZ+R-SykqO{2p{A}K>KBKb8?2MG1-z|W6%ae`&j4eSEsM;Yt
zEQ3$ps`o^12%u?3Ry+H$1>DcbGhgw`;J}*eDc2PR@u@1t<Da+%boR7S*p@^nJF>Sw
zuN8!U-P@5f(dJkfh<aJZ<@Hul&~!wS5Mr(cdt8__!wtiZ?9(#@#4i>Q8jcBLc8x!E
zXE4_b<V7fb(FD8<Wjqhh6hZ&N5`FF8rihf2m2D>zz!)py+4DveHfJLBRJmSnI#u)c
z&_^kZmEUpX(-sFKK;+V)Nj8Q$ZQqXFl7hGPiQW6T{UUa#P{S{V%YiE^Ob(?>!Qy61
zm>Ji<COA(rGze_m$Wk@4OOwKgTw?#l2`Lb~JKpx^n_$k~Vq0~g6h53%yjk8$0JSg7
z{SU_kXE!|MacY-><n3EZVjraO`%%K%6TK|32Nds|ks{z{qI`!{KM}mlRVmYPEL3|h
zhERP7I7xH&6y%i!r;?xViV>IF%W7?Un+bUP<wK#lu^eQcldZn>F_FX=4a!;}jq48$
zzuwqS!l75keOWn7=u~NiI&?_mWu;Ig`Gq`ADL30oZ{yB?HA-AKNJOa2rrDh)ideyS
zq(*|ugp}Lgf>u2lki28Z2@jPJ*s3c2a*BaX?dvW3r(~cTeoXzsS`|25o7GrsXW+=t
z<mX+TvJlbeXw;rjMc;$_yMrqja40=-GqObvn>RdBdA&^?Wz16Md?5pBUO75=%k@g1
z9XD?|kg=`uS7d5F16kuMlS)VBK{irR%;ji6RXU;A<SqjP!L70-nu?go;_R-o(ZqM>
z+ly1r7`PlcQ!uzk2|E1l&ui=`Xj!-vJT=VV=3u^d!((Msy_eY3;jD$`{QebgT1-s6
zzo@j{NEOU|${}}ssA!JeNjBZb#J(Fp+-&Zs!Tv||toK10+PjCQ3!0f+o_xFR<0W;B
z_jydLj-!L`f>C%T*LONnL|thCWW;r8ew9D1jmulsH$1CmVdvX@3x};Wu({d)Xmx@P
zc8b+n7rAgb0dbLo(wd0V^`Qob=t7cn+GiaP8;)BxdQrY>;+E{&g!jwzu;D?pq(cK6
zkmu<StEIr1eI=VTp@)$9x}zu4O;LBrD6H|c7TlDkC)H#0L1oXm*oT{8dagb@&V`C2
zYEL##^y<T)Rw7_D$Q;JDUM;`HY0#vR$pldYgnwa9$_HD3=VhDGY&i`-$$sm4=Jipc
zdg}V&FiR*c)Q6mMq@zgfOu1pHKB65Jj0Iz?@cr=aADJ)cF#0u^SFWWGqcx4MR1>VR
zCGN1hx2`sxnJ>BqY}JFzNN`j|tPKQ}0|&DAYNPR%!|^8@ba8HueYPT)gRDOjiZ_$A
z5%B7;LWh(NF8j4gX;OfY27UJHcx?!_(ep{UblAkj<fI-4bejSzthZ@n-;Xu_Q3Plx
zuPHhj*9JU{d~Lm4QX8o+Z5*Vy{aHQsL(X5)7N^Fq@>*V|qfe{oYJHL>?slgw^R~2w
zNiHEQPK=H<+nekS8_78SyW|IRlPwCL`EK8_jRrZftxZ0QYFHjosJMBXEe;Hb|9F)~
z#jV+i6ZJXDa8gQ%ZQW>#-D8`Ww&hw#`=RyKK2QNlJYDwU*0$JR^7UF&GX=+%ZxA1e
zltaMD&CzWnTjU#xz1s3d6P_+s=_Q>+RNmBl$v+5eyly#v;*AF0Iyo1Y9wT7CIX&>w
zEx;{N#3}GK8Jbb6z6NpmUnEJ)F5DjwbuN5Hc&!d&d$Dr?k)mk!J^0j91JL8|4I9l@
z!yihBUiVcYOo(2{zk8E|a#~U=r(OjgBv-Q(Tm`V{m}Gv87zY=`lWt7>Q3CBgq3ui(
z9~u)RJi_<b;Kf<-kzq4ML{4oul*V2PH+h545l^gf@Xwbk!k6WdTYYTCX*Dkd2x2Zm
zYS#FAxHEMXnFRe~;j65wmY}wwa;?)*E9}iZqB!ta7W!=Wx$8%lK&E@7!=lp?pURrq
zVevBXUPv<Ri(UeO+9j0ZY)kAJjtmsqLxhcIM$d`IOW<A{?{F*20&Az7=@tRf*q0K0
zKfr<)*>^(Ls{Jzuqhq*g>uCb+tvH%r(Zh>>-a<{ZUFH}c(z_VhB88cY30GbhFU86&
z`==H=%-}6e$WEq7;dQ9hakFebv@e?seYe645=B9lZ)_wXJQI|iQpAsp+sp2}sx$@N
zDfHhR9|@FfqF4vK7eIOJ;}l`0Db{$MOZ2T4M?~T6Nn<r35bmZr6_&8!FS&8La=AE^
zZbW7gV}-H6fAU&0gN=(q<8wK)Vo=EGdOEN~6h<xV>f}lj=p1;^$m$V;|My;3nH(`#
z41Ri|ZfAnB;(gD){SrgBdBC;f&JxI+{pwTrjs-$o>#VbuI39+jI@l7WaK7e)=#~H$
z%AyF5{o}<k@^OyXD@K4rnD*8{0d8M>apUuplz?n>wWth<>oNX}quN}qZhA<`xc*22
zae_{h6AU68Bu`xW<jBN|REo`Ph9rDGxCr0fE(7U);@Q4gZr&En+_=433Jvu(i3hLC
zV)mT#w){KXd{$XMd+f6mK3S2okI&0tH0Zct?j8nA{2lmo;|Q2`h-eiIkVn@aOH~g&
z2CAH69?aWFW5?^~a~h)x_+2tZi<mNot*o8JCJ7?Utj8a;CM&_1@3c}`i!qw$p6n}Q
zL`;Q7%)GN#L6K#X@7p3{ytisCbp9m+;gcyIWeRG@{UMlBpK1(PJ9u`@$>QxYX~MJP
z>R5F<^4!q`V|-}R&pOY&pFKgRzDArNV{P~Hn<|OMaE(#PZ`me~J1^H+M5Srq;`%y+
z-YjE0T)AF7w?qNj^Igxr-O)sa)9i$3g)utziDZl^C_&}P#}n&2D98)Q(BK;~hT1Oy
zFOLh#h)%eY_<B(b>uq<CSUL<GI3impZlH?yJ10^e8Pl+}>4~sNG`H{0CwEl5S3}Ox
z>ft(HIv$<R*gN=x0Y0ao4^_|AamDH8i=<3$E*h4_iSK2?tmeU*_S<A=QMJaV8g#IG
zi*P|49}AX)ubPLlG*BAN?(Xf;MQU{Y_`(Ag-kd#Y{3<~c4|YANH5$~z`e(b<N+L}_
z{~6Z)GK|ZyBu81^4t+2g9y^UZ*?8-^D)+Xp7IqXqPH4JdfX^YNn^tc!Mc1^U=v_yy
zN4@i?%w-s2MEkJn2X8Zo4n2K+UYCZQg9m;zq!}XK`Lp|-NORELUtNAUOGB}<S-nt&
zA-Zl`<%Qj_z~A$$SLt&3Uu}(E$oX_btZiH(__E6q@A?hXer?tU&uB$%Fx?RKWrZOt
zM6IDwz3i2257!@*#}8tk0h+(Rd-l-O1}pF83{q@$K$>mHE8nFLRRLDVX;%(H+xoX7
zN(YC6daQoQ>*3ykvULhZK-~pZ|D&lo_~P>4*DZ-UkknQYZZ6=8N42?-NQ4evo}V2^
zeN4xTB{h93#ca`RyUK6Bg$~?8uf<$>OGVW{dx423w-*usJ3z$0QhF}D)<*YU;zxQ5
z1*!qr>m@JR!mhhOrqV(iSH1>#ZGWhN`?NtHcB3tXzYvn`j?<y)H@lyZua1}em8(WO
zY++nP-(68eL!)Bbu$_Yn=q_!U8`^9U-!`kV_8}FP>DO95M=L<;jjfqjjV&G|#C$5f
zt%di?ghsM?<#6X&-M3X4wpd|y_wKWF3QU!+Hg<El@$?(T(V!i+5W8U@u<n2+>>s;x
zUP(zoUUCO@Uc(k{u>*#+P8tX*c-BO466JdG@S}|%fDV~!k^DMj@a(|xGiHLYQ&mnX
zJq5Vz|5O_-qK+e7f(qxlmV(85#a;OS7@}ZszG6@XqV2&xd&o;*+w*b{v4#UGpLe=$
zyAo#B@^8!*{Kt7xCzPfu#KE4c@%MSU6>wio=E$a=S<c0+V!`RoHV|9<*_*dWLT#c$
z&yoCTj_GOAy!a(+$QdnM+q_B+6dPvH4XY{6Up0M&!67SD_&@B4d?16ZacbvkPfT(W
z!XmsBO|8(=`hk(Tf(Q|hb+QS*lboH0dKR~yw8X<XiTdNy1QeB!))Ajfa<&Jqt<w5z
zfiCKrnCw<5q`NF(ww<2hSOvr#er;j_A%4e<;uJ|#@5t$ix--quQeSg4Db*b1_qIQ2
zdMXY@&s%QuinE-6&R3REf6buIdvW2snHciIBvi$l<~T|`$(~i4&A@QjS3EEvg0ALh
zLqhQa$2?);`|3thxIN8zn)pf>^;Q1))wPS9|03GW*hZ#M+?`&w>AMhu59~bK|BnX)
zmZp8tSJ}9;*llEQDukd-8&?0v<c02<_^*ZvY>X}sSWJE(h^^%>sos%G5g=yCUY%wF
zljZq4uXze0q^YGO`6C~;@lMh|5KYjsKjgO!QxMdr*A&dw3E=Lw@-4qJSxE7Ub_q5T
z1R<DKcBxwsmse@u&sJvvsTaqyHVT3i<G4R0LKx;I2RF~$W<pgpB`WB$AW|C1BMs)F
zIM-rwSr<%v+f_{D5f_4FrsI|0L~#_U>{D{@WT4#toa4=0AvErPpOqsn2_0g?r>gx7
zL}#eEP+WyE<g2dvp6f}ES7|q%lx4tEVT8WVNCX!AOP^<!5m2G>Ra~;x7#o-Ht?M!n
zg<;XNXLo-{BgmynyTIQVTWVhv&2HfC{}q)}&rM`-$vM8@p{g-{zZT6a$ri`S_IH`*
zvt*&ON<6H(+X$ZvyKRXgl9=9l&Za?zgs@`*zAJK!P*6UrSh-#bHWKSpCvVE*do!tO
z+Rq5}9<GU6##~R7|J_^brHF6GW2Le!jKFsz+EtAvje1F|Ek})&@%@_tTTtEz1D)Xm
zF-#)NH+-~n(olujW?LQ(j}cTlg4gQ0$zXiL;-(k{b@cbNR6ZRt#J!T;lcTA!=yHzz
zH)c%6^2F4#ke`O&umAihb5IV93#9_iTQ%_D!+gUnej~)0*Hl$)lE*d54jIu@O$Zkx
zmA7gcLABH1P5oyD91Cv?;_sq>eDzArJ2xW)H_lc!98*HK+f?6i9V+4~BlXW+GD1e+
zCFuZ574Xvx>GSb4INwh;{Wfic!{>R=eUVgyU-mR}?mHd3>MqOI1Q_G007?91q&h5(
z!*eH`ba3u(`M@Z*ua8OX)mDfi!|#wmjZTR!w69&g&&Xw9#lo^|dIFbYTO+of63~b9
zQ3HeS9Zbl2M`x91XrhK0`m@-<08{@CCp}uu!se=Yi_b+ATv&2RsWZqB`z-Y?2`@9j
z{N2-e^EF!7SY$P-VrqnlGbvf$J=jRo{a9buLdEUSdv9~O=cjfyRDWlxDT;m?Y$3JL
z@cy0Yfw(>+WDd5CDE69x=fJHCo15r3zij7M#ihpRF%jHOwXpz^)ttJyP#ZtnM3#BY
zaQADkrnyLwCH@Bh0RR6Cmv=msZy3gHA{={V?_(Xu%zCe5G*zOM3Kdx`m68%IQ5upW
z3K1bGp(wmBN><?)X-Slo$Q}tl|2}`*pXa&m`?<dN<uE{(&e=}~XO2{0NCg91KMP%Z
zCuNNT656qSG#&VSh={awV<6vu>b%1l8wCG1L5N+}!GyN_{IW9!&~1P5D*Ow9E2aX9
zBcF8eS@*QT;W0gY4^W*pz6uO<X%!!t)IsC7#3LP|y3p>qC}=Cs0xfNHwP1%1+=WI`
z90s*v$my~A-7OYo%=)^AVs(%;)-op*rwOiq(U~PvEc~fGzE@pL2gWZrZVJk&gV%84
zilmJ#v`z=!iP=p@2>VN^_**KF-Pl!b>u-y~;n1<d2yH}O<PdO{Rl?Po>dvnrwxHjB
zwEVzXEo{`>9O-#b4l|dUqY@9<A}M#U^RlNVS{r7Vqcf72_gskJb+N^4m!npIng+`9
zTKgmVMRDlh8Ep$?TLg+K=Y)M!L+OcLt<~{D7@~sPBRg1#EBGzIeNGkAM=6P*b$pm;
zb+)j(&H}TtROm5X1>aW<3L8vv!1Q0L#>M3<q;#+332aq@PrzZv5!xK_lGQk&@CDH7
z3bHPtDdOqm-;x)76NKl7k*hn81Hu($9+uaZp{A(#!ql2!;<uttgQXa7*Pl(fTUQnq
z=~o4E#rudp2ZQN=Z3G;GI{HoxN#TCpbK}zCPGY&ozRtd@Hn_zj*N8R=Bq#d(u21<w
zDEIzZp7PonbM+rAY5ihwmkO7bEd4<I>s<MxWWfqs7xb%h)kML#T75JixrOj9>>io7
zwnF%_2ET!eG-PRxKV($25b3pnDZQsHktj>AYBCVQ3AbYp)AK(NF0D}}MKu=aZO<SA
z5(RMI?;86`;m<^%#Jf*tBrNbPbhd}hX$kgxao$mQ=^ODn$MEtx-{la`xp4WABQLUC
z3vY9eb`oq}q3yio=5QI_B)u`38$72DbtaAfBwC1<6Sri{@gXxOUzU#x5;aGE%3Aah
zir4kSzJ{1#otdrkrg9GC%E@mkC>$Vixc810e=~*qcCLk-Y<3t->BMnu|3mnS_`eZc
zWs1Wh%x>OlHV8D+5}w@{A-WS|E6R&ZaAPg)a*8k;Scetzi=)Sg530T8Pc=<&=~$@u
zH1`7W^Ka^ZNjE2mlV^>zTkaa8L##7}&tjf%3=E-Pc{)X0&^c-<B5e%ijT;UA70nSF
zGh2K!f6fqVpB0GixMhTsHP=0rkIoTEA%7KW_5TqkOD^#|ls3YTb+zXrkIWI*uR3s?
zjhiPj*M593oy^3(8){XvkLCz5U5(>2m)Y=ahopkNHWL%u&HcDk=7~)PIR`pB+3`8i
z=gjrzhH#2G<@V+6Jn=AO!R6vwPV87a;`VE`A^zIVTlzg&Ahgs9W?nRK!LvNY-s3w1
z>U-X7xa-Y^l^;*W1^e-!!q%da^CScD=5rRdOW6@KwD4n6nGdI8x0}w$Fp#H8p1Rb?
z4q6zG*n@vdP+j=Kyy1iacAowzM1RbIrd4xabpHv!(J^Fnx=tU?K};RRTuxlHdUe=K
zO$ZiTC2A9D`UpMe5%A;<7b?l5=0{dE#QaD7aJ#4no|?+90h~PedVf<{Zny}R*nc_K
zIjxHl-*!%=UA(wqFxBSUE(-hBbF}?Iy3lKm@cGfj2ZhLGeL7pkaWm)LP5wC@_-d@%
z&l}B;mB-`foku0GOQ>u0zZ*J8(QT2H*|8KG<1g>D%#%XT+POQFg$|t31tmXk6~c?(
z{BagnWdMzKZMiWzBy1dXm)X)lhCB<3j+29}y2L&Ol8*LCvrYE`Mc{AKJa1AZ56)q5
zn%<+sdBP^(a)~IOR(7XN2`XW=xv0G19XdX?y)fUaAPyRT!obu9WrRA^?Q|@lW6g)J
z>tCiypn%`arQ?ALLdOd{Eq>8q)O9DijU|Q73oaXiCDf1})h?^;po3EDx}D!SWbmXr
z@K#T}Iyj|elPYU;up&F*zq>zWA(S<}`?Q`W_!IQH)lcZ6Z})fmZN1AN)w!-N`n?vq
z*Yv+>@z6u}!?A5e{E8S7EOp|#KnL=L8L^@Ius$`m{&}Vn6g9n0xDvY1wAubo=aT`p
zY*c5&eNaZ$y=`9d(|TwsRSc6TV<5##*j`jj6|R*@{{5K-u<7t$#(Zjs3w2T(!rj#1
znJV>4FqHwWfe~imTPDW;%iLw0sgBP{3+|)a43XSfJm*I<hP3>zp^$M6oLkBD!}^~g
z$fu9(N<&P*n|o0-*hUNYGkcb=KgmR6p`C>zuNlVw48CTb(nfD7zX_v}iFaqhQ_dHf
zBVyu=U0xO)M+Jtot^P3KV{$aY<%9(S<=n&+i*<17F1P5n_e^N1IXDPyutKxd`8>xo
zT@)qFID`Z<kx`?#;;x1b_FZx35n0r!cuVh=wQYt75>q;`FiJrB-QNGkyYx_&a@kdL
zoB`u`_OQ7BfYi4KJwIvd<6xWhkMaxyL}gFwNX4_j%9;;L($h!7k;ffDi*xL>Cq;iP
zY~dfW$1Y(&4>x`bsMb$wLq2YzsIkTtj(?|@&U@)WrYv@QdzA)~@~?3!>e+$yBK^>p
z+q#g|){p#hTopb+dsn>QYlpZ@LHE8zo?bmMx8J~23GUyWzGg(&f!(w!Ph<-n`3q$H
zS3OxY9e3!_J!OXnV>|sm{n3I+6}!REE^(MW>~{5YwL@;%P<@)OCi>Wn-j!|;!jU9O
z)=bh4ubnvGvDd2O8>@KPA+<$6PEU4zTVadX*BmWM3Tm*8U!{08<u6fN?k!Dt*uwAH
zi8rePRq#RhWQdvJ01>c<zm-1Bf>MH-VayvP)bNHWD|*!sp;oGO5hqy?7*qV}xmf}C
z+f=JIFSL+OtVH!lP8N=gl@0%~mIDtSbUsk&CEI_vhUZ*b)OmSoXo-_Fmi$||zr=8u
zB!9jus1OCtPKF<#-;ltp<n4-BpD}XMDWOE(f`D9K=%ENcF`Tb(Zs-V_AnV-=Gb=VN
z_V<Hc`|_tW*xj1@ZksSk20t>I-EqtshQsLxf|UeuXnf+%CGIJ5uuJBKdx{nOEt~Rk
zZI^&uMP>MN|0HSfKK|RsMoZ*ZP0#<X=0<$-!6WQ@C&_&O^7<TJORQ@t{?_t<1HZ2J
zyNYH_ko4&0_RA|Quv4!*#-n_J;C72~)_yTg>Yqz^sBw8YTC<7Ii4A`V_h)xHOp3-x
zbw;AB%tv!X$8Z0Zuy2xR3@Z|>${Hn8;+`gO)6G$q&WgGfGfLDO+^Nq`9U(JrkNd@*
zF#~g3k-Vep5TUHScldk8Fu8Rw=;yvg4wBZK4UHasgzq-F<7ZF(A?N1F9cy5UeXG0_
zy;Xh?5^BxaIUR#!MgzZcU#1Bz^asAUC*Dr5e3J95kN+k$dv|dNh??NHvn`i8XDhKu
z{J81(ngOy_gSZuT#uz!*`EQ+jUr%f?8PIHX`$gssF?Wei7-3a|fdy`s6HSdZM+-9g
zNh#F}oay_F;4=^qzxQz}!7X*{U7UVD*&F%j7<V5Nq1*lz-d*y5e8}3G#WmhXHV;ni
zmi1ly$6d7ha(-nbE2Zh1>qH-^{zNXOs^1W=j;XJ!Z>uIZ&x@9QHS8xN?E?b44;mtI
z_JVfCmUrZg#?YKlc0W07`{R|*3<G^1^qtCb|0D0K3QXi}`$e+z6>MQ#U?AYmu;1&2
zR#HTAUG4W31LQ~c=sI0V26770kDN6AM3yX!?!tlJWWw@^-!aYxNDX}yrs(#S>}%QX
zKiWJ<N=g?#>k8AyRIcx(uO~Xl+R%?NPmlZ|+vSTb^z-$QzFaDh&83qRI&8-`oHI;H
z)_qWP?bk)1YJRrNSQnYvu9EnwY=lgxl}Uo8F2t6see0b5lZ^hfbED<>DA|>-^P(+4
z2Q4qxa;f<Dki(uEk0m*cle99_Eh(hq)RL9qBdhyJ&cRE2Z?;a5t8`+%)pF3WZsxVM
z$=Y9J-p?G5)fcA7ZCmS3(6(sfuIMM3(}#bP`x-MItoNBAHO>b5etn{aOOI67CA=OY
z->h5z=Viz&x#eo&b0eA-Dy$lt9Tw-QzhHsRcs)m+A5C1MepC|^G5f1KIY-IzxLmU#
z4L0h?DkY)X4h=MTo=94Hc8uJ(@$HH?m)WV}w0SRkCk^;^NDl<5PLNHTujzY8aZ)E=
zke_O+)ls=6B0=K!BzdXmK-tPVF6#Ey3)*+>)N!tVzZJeulixP{7k50Hhng9tR!Y86
z!|~-V`46~eNr!L4{cB42sE6H2yD~PaLDJ;f!vK#t(%+~5<+*u&3YDUd+J2~F&@9hH
zVQhh{{<JXX8YW1+bFMLT4^zcb6}`T_-s}`(>Kwa?B8^Ip)_E?hqKeM-m;L3&I4H*2
z(~16RB9!Q`&yv|j6{MLD+L&f@QSrHnJ^YShRKU-zbv_qWkf%~Pm3oPXN=RPS7p*8k
zeV7#F?%JS&k<%xRTuI`imKWb(k5ZDNe*fuu=A^EIHnP7b<U2n_@?Y^Sbe5qe&CVa2
z6;MILso?Xv9)graxWlr#5;<z(&cy0_JSxz^SM%1TG%7sx>DV4O1!~rSxDhR_0{5YM
z4e`q&RM3;LSNju{s7Kp;o~1jepyJL+o)7~uYQLG^)03JilrOjZ<BPE>5O`bmBz;Dl
z+L*JdzqLh`3ich+&f!wU_+O`F@j*#ychR$&<}`K6<9=oB#xzwpZ5q?(Un)a2bA5{Y
z9HU9aCdK?KIjn|fs;*kjTjePKBXk>?yV_Jk@w5nkm^!RJ+srS0FHh}PWli(F(xECI
zXwV(rY9RP=^?HVl5~Ua(>O8ZcN8OIvp)MDo1?}|XS1)HPQ;NY9Crgb%y&!ql#dy%6
zwZinK99@;VnQf>%v&xWK37d@lg}V40_1D>~OpOw3{d(5Nhe>IFD1E;-$N=1a-BWKp
zG$<cG-c`>J8&T5^)f|z|hIoE9PEKKo7PXy&Im))%m^zi!{`97r5ne=x>4g<)Q#;Iq
zZlBaJp<Xs6Z<jMLLE9+XPpd6D)ODldJEihXs6Sy<rKbDMa7nr7_QP&ns-n!|_UTa*
z>hrgG=R2*-@kE{dgtxOkWx2-NCH|`k_3o(g6Y*_U5XjJ{eYt8tWvF>?vGX>e&b~~x
zjO?|6O~m9Xg%u3SZt2GXzjMY^ul_`icLAU){i0`0GJ|SUzoVRDVMN7xH8V68^XBf^
z!}n-)4C=#$)Mk@dL&{1gnYHSdEx5J+jjVXhpiXlx_&OOIP$kQoIM3AD;au>_2OL)!
zl>fBM&*Wx0wf+0SUv5G6DCEmI`)yHQ&Ls__6ATTCPv{hvevds=Bb-A=Welj{x3BZ-
zqLe9NQJV2J1qb*w_C0or*Q3Ht^CxCY%2K*k5*BRA4p<YycD}t)hjI!^DA`*jLTP0W
zaVn16<5pXaO!|9msx?qn?b3ZNs=Y|(*~wIUI7E%S*ifKJRSrJ(Kd$<ROghE;X}5tr
zJ{>xCY(7k#g4D9m;L<iiuX^}lOST<cH=Vw{%0ZQKP|FQ{>NZ8(_!gU3CuN5(rTZ0f
zMU^R)=JCLZ(;TR{-1n+E+!i~vE@?z`$y1kZt@>>Fh!<U=<EcYEEO_1Xb2-v1Lm9@k
z)D<2Qz|KEWHwv9tc=*v@ZsMN=CEv@>og*X!wOV!mlO%B1W5cd5dqpWv+1PUjC}DIR
zcZo_hUd-J;f^Heu2~k{s<2b`TXfS_g^#1BD0vbcRMBZ5QQF?1uq@21<L*(W&7u5W0
z(8rx#QT&R7l9hNzHQcAcwcEZgCDa<X76b!vf0k@5C|GkTh6aNm?mFvaE3B*2YN>xY
zN=~HB3Y7TMpn4{5+0q6}cs=Et;Xct#wne`6du%~NycX9-0d7kub=_23al3&$bLGHb
zga8eV?V_hwtg--pc-jq=R1@CfcC!Co2}3m2G~;vJa>za(iu5z+B&Z?(t`||lc=1A*
z&hg6}Zxmj~T)!|t*sCQ)g!l`iGA=kse5E-wzfIel9vCI~|B+E~`-Gv^P_K01p&6F9
zJ80!ToFsJ59ggI<C5+v>hg^Fl%^>`V49&grmxyoZ@p;@QjGiqW=Q^WIQHevWIkkCW
zgZYT9mk|wT(p4vo*-i1J{`RjM6dN*&qKv1aXvmPJ=R6BH!L*a!YSvZ`Wckhtlupo4
z?Pqj&J(mgCt~!<}edol)-mToWCq%H`f&bdXRb$A^XqPy6aO3FCG+ALOQB((iqKXua
zp>Q~td-X>iTpQ;z%We=w!<0;8)-xk0Y(A{A*@X|ipL0d-CW+zsx`{K>E=K6IZal$k
zSpq-Bv%F`|iz7%|io0WqiTv^%z0RHjusVKRXEss-Tr0A29;7kh=BCT{b$TgkT_rM#
zG9?i;ZN&9t6BB-dyJ=7E3t_X(%ProWQi%Qi)xlqgiJH_=CyT}RD>=S<Tx>1_!QPQ>
zw<bd@3F>%QuOtF3j|tbUk7O~hN7+{~$q>84iG~NuMBycye5{dJ249InlfcD&W<1m}
zb-k7tZdEDCgb&LjPoybWe!U@BikdCT4&t~o@Ixz-R7Bi)hYWFZLrk!4Tki~#fbGz$
z%FQ2?(6ibhcc;D~B=sV@6`o7tl|f9~?JvqOw6NVwXBy(jR>n?3NE$Ca)LgoTRB)4>
z@62<1LsZTl((pPVv#6(IpscVOw%4M<&v&uTk3$c?%*rBP$bZ8l3w3O;OU)}>y#LL{
zmkYOIm*Hy3<97iEH85Os(@yD!A@0}N{N=MzfS9@j@7^3u+>?E}*N9+(%x+N-nN!3c
zP4T6py;|7Gyg1~S&%|hW-oQ|g653kRce<+5@h>}bK-$s>1$s&Ry^A^2)tUe5psNnX
zi@crP+l?S3dN(?|VUeH2&dr>mx`;V_M0YsB7>Ruj`+mJvMSW&h|MyFJXk3?X&vn2A
zw`Qa4-;rt<Vsj#XozRD^g;KH14pUsOlS=>jOdTSg-MiXs4X{$MaAWf>Gel>-pVWS!
z0Y~nP+d_+ZI9UCQOjW2kZcV+uEOuFQF)xYd(_|SCQ8(c6$X<@YC2M~@*r^4cS7&|}
zsxz>!fb&CJmjx7!$AvQ#wK3w6^Ql9CfzSh{{>G|S@bYx+Ev(YUAewKQ#u?yV&z|xC
zFKgWSBIcO4l8)-7&+^`u>tp4fxL-L*HVBxKnEaMW$4LA0{OJTe{LC_}uc{&t9`I`S
z)^<8%>>YS}7x&2hCq2j}f52UNFT=cVk*gfvZX6AwBhcD*VW1OG(R-W!<24-|L)p73
zFKNM{c>KKhN*3DfTyzbN(cw1pEX^-O1M@MBc{8_I=yy?ByZ5g)#$A$!PB^LIruVbY
z)=eyg&2Eiy-K>oj3o^Uil~k}zd6fIyC=2{b%ecoE>#D9w4|E(+1P8~BT90`a1dr>#
zbWGJmjQWN;r+0EV@=9>le1Zk#JAV6Bk~H8JshodqND9e{QI2w-Sjeenw%j?Rj*Elw
zUq*L}qvWUjtB_n4J|R?R#!U@vGlFrgri=dIbuD}L5DRNsq-$;Is_3d$xbUuHDJG`9
zX4mMlV0OpKTxMDsvE`gsY!vt)a^#5lP&+W!InQ;WMhR)A#oU&vT==-aJE?aOFemu4
zUJ;5|^142I{SP)Qzv11;%>Ztu1w6XRDUXvcwfVi1{}Ho!zkXR~5m+JW8Ax==qWbW2
zr=FZ?B6uW6<o=)y%HvD-$$ghbdD^m(ls6N^^yA9x?MxdeyH8tKvPogWlB?@f(->iB
zaU+)fxHZhB#MfQ3m%!#-j;pq$j}jqr5j<~5D_HN>-6)bL2Fu?E)P5+95(_=s0xs}d
z!S7ML&>t&N^sJBLwbvUZ%tVB?f7oh?U?cC71;aEbFEDxSo{SPTVNaN{4=oTfRH*VP
zMi@8LWFnkyjuFwJcPg&2TfnILx>RC>AY9%Vq`TLT6Otkaown^*jxDk0yl<2W;0$-W
z{ayP>V&PV)Vf0IL5GB{PdNcXKeKD=gY;uZdwwz{ZDVk%sk+*jA4?f@}IX}}jL$vHa
zSHg%i!@cnJ8!j~PLe3`g1?SIMLS5DOaq5^UmL3co9qQ+SdTIaDlalj9+gYL1Bi^R)
z_uTDr#heEhx`X%KH)TW2aZa1ePbLW7BPHcm#EoZB>ni(?up{rK=W8<;6F6*Yb82+w
zM*rLu3*RaZ43;O&)0>S^GewDb8*oE*#kM+54KDnmGsPlZj4>y9L0?{r8`2uTIhF2m
zL;Zp4`mLXhu#@xO`_(JB@h(5xKZ4GS=&zaWPxctWF!o<SY!o-#h2A7@ZQ{eZHokk=
z6HJ`wd2BpA$PKEabw=<yKh9^yNO)ah!Z${6^!-sDI7_RIc^+JfhsyuFdDNK5mS5TO
zUXd5sMv@&X4hZ1^_4ZzM<)Uw2EA5yb;Ki^?SMKpuG!)eFnRWRXqH(IG?Z#(5cnLjq
z_t-Cjz`xbk@6!yy=qi53`n?2utk3Sh^*|J1Q-b_{6a$WI5^2540+_0LqcJiqhD>8E
z;e=xhTuHuYmKVAdzea+kS9(bRHM6%1j2PHE96mEUCy2!ELDNHhlAxCH)};&^K+bnh
z^nnM$IGVx}Z*xf+4=Xp<nO-tL2N#X*Uq*vKXgZ(o8d)4PJ2G5hvgljCPq8g66Tw1w
zeMty?8RQQQ_)1Rb!`|2`E&aVHOro#<sn$`zUMnx(4R!jErE<B=IK<(RU-9#vrV<`I
z(mh+A>!Vj{OX};@5)d35I8m@h8S_omN*<IxJWHpRT0E45q3Ye#`7jj_X-C!n_UPkB
zYTX_;O=%>ZS#j}il`1%Eb?f*I3_z0@Da$LDK^&K$LX5OJcCWuVZF|Q66+5PN4j+<3
z>yKdR$rBpLs*1e7PKJRv-uTe~LLRZI2H&FkG_j|0pS<Ep25cjOt~6*WLQX6;B*k4D
z9bcL}3MUv?V!*v8GENCjxu<n@w$c&xG>umw+7QMg_do1RRYt@O*Q*Jub@5QCl$)?-
z;!gI1osWxDaKfTNIOVAx(!NH2N)t3f5i`?X@IO_sxqF>);5EQs*29~t=Zx@VMX{p$
z=whyY-miT`fq}1An$HC+HG%8bxHl!D8rW7Sf2Tfuv9FV*4h#!ZhznSf2lO>jxzV)V
zLC_GJ+z-7!a^4J+y<@&}gce@t7;N0K$q@6uYVL>inlI{Ru4BZ~M&D=6^Dhq@qUidZ
zY=^rAWLp|cHtEoD{j-$M<ZeU!*=51C<GUqRb}5zZn4&`^aoeXJB}2ruXjO{&EOM&$
znE2LY9i*x2=55Jgpz6+dgQlN0aH#0Atd-G4ndo%l*t`LFcC$aJ(E{QMd2cWC*2PNe
zzzWY5`e+a0NK0=5wqN$7NrmVlRq)j=eN$Zwltje8_hx}9@UGg}RTt|vC^|=c)5a5~
zY8YE53-NYhj=%ouVDGv!x|>}zG5zsh>kP{lY9|fV%KdbZu)o#fb&eVe=vA(x5w^%m
zq%=&^>7dqSx%<p2BV%FizZ<!>_}0!{pZHiCx3=^|{U}tx;VR$v{m&N9dy$n8r-c<f
z;??&HWiV+SDz5#&77+*CY8u=$!BJ$zw^~dB!Dsc#Jx|*rMKw)w4X*~$f=z0Uchit_
zYU7n<D{Rpi#LiI9P(!lhDXB*X_`&3*Da-z2p<+8%6U|Z;>%Gf0Qf0XyI(=DfI)jCg
z+VG_!P0D!gW%#=E<{V-F!u}%fBA0&$v_!28P{LA)j@m0f#)*cQp&EJ@5M;ud$&**W
z{E+*RO}__-&mTuQYeE2@SJ}Hu&&h##R8S(^qLZk~^bxHU2CU}}PfjkC!Bd?<rH^s{
z5m0(yyk;!{Hiuv1b!C#+9hh@gD5s1#U+|I9aoh$Cg6DI2Zj0k|wQ^2{lRr`L)|&Y~
zd$I4m6QpFSD5N|;oXFJ6Bc-=d57axX@bsNejoo`1{?Swkmt%!w)RWTS!!lN=j#OCq
z>?MSZ*q4&?C-X`5d(5PzZkFiIG37dYQ~)_QM8h>kQpi_L^eVAr3n=sqXEnF+;nm}Q
zFMq*ABFZGjDxz;WPP=beweJECdh<)C-n=d*(vQAOU1h!;N?$G|UkK$wPWC8Gr?;BW
zdU=#*`4w}p27>jKia5aRZY^h+HWR-mdG_k`nxV<lnaR*$hf-{@v+Jfd;&Jfd*--~G
z{FxJ;i78khvIDZ2eg*A>``GEXUfHIoef8p~=kYn>>q7DUVx=ykoYX(HNyHRClQKB^
zlV*t-2b-3UA>D+V>GmZlr%doC%d}}+;xBP}Q$}}QS0B-7EMu%ZWQ?pU`x>}9rU|b7
z?w3|>|4p2?I+jqn+ZgA@wtVpzo+9SOvc&Sc{}4y{#u8k=7~#(5Q5Ty16yfNytF*Cl
zgxGlglg-C1M%XK1Z9UjBNqkY!2op&iBfNT|W%WNYaZOS+>T>cV@jn0n0RR6KnRh(Z
z-yg^A?CdS$8uwoA#Wk}&Z=+O%s5DeYg-G^{uaKmKP|_gDNGKYVd`?1<-LT6}$lmkk
z_y2jk&*Pl)e!pL@=lhVSXVc%tFJN6}CMx^vX<+2lwBPvQA~tf~g?cPu3Hy3?dRlZy
z4G7-wMWksF8+uT6VKHw7qf>lvEd7!itUvg&^@X~GRp3*1mw&Bc+<ta^)tjmyc5p+s
z^urQnb)YOzR%;X6Q)~S>HAxj(wY&q{gO@RZ`)Bg%j?;lh@#7diqAGB(H~nmOTES8$
zJA$2y=piGrDkC~t1-v4>nCpX9v8;*C_y%!C=yC~(IftmwxUzRWvSJPUedOtW`KL?}
z5tXqt#YlyexMwsIl?}}AfMfNigDk*X#G!H0iUMUU=EL1>n^+@q*V7hdg&#_X*r&6U
zAtj3|yX`O?s989Knscy2u<qXujx8m)(*Ft>o}>qEQezhfkrV9IMG10em4MIng5=q7
z2DrV*V^!nJ4X4ffo9f%h@JC7(v=Jjbe(D_+70d%?gx|=Onv>xiBh%g~S!S4#a&xi%
z!3*t?Hw)f2lR)(N%74uHEI?b(AU0d^LqNafdfyom5R?bJHIA@C1yOtB(YOF~J~)(f
zaf1j+pC5hpC$q!dI|(e_1ww$IP2Sy|PlO}8GfFp=IN{Ow>8bT35!lc1;mY)RA`FPS
zGwPn=2Ac4rpy|hA@QFTj{EHS5(o>bAemn3$fq|2EN3R4Ja;MJpi4%d{@t{Cf5ieZp
zp|hdiCk3nbo|_Ovx8o1nPuGa@!#kI@B83@gIQBwOWKoR>Vve!W^4S6~I66MFc~lnM
z5<XO#T_D2ckLXT>l@L@<=U;vEg8(O@>)Gzr5+Nn?m#?d&2!vS>zIJ)Y!|Twp5Jn3U
z+-hG}m)t1^gT+(>g1913qN7Z8=*TcsxaI9CF9Dacdhe<JB0`8Bv#Q@;G90Mc<o0mb
z1vBTWe;JjK!FPyruQRtY7^Uj@l%A1>QXgM~{v>6f?yKJX=TCtJu{1C3Oc_{6zK`Pl
zsgP)Qp>tG01yVzU+Ign8-z?zz+AESOd=^qnXiipzY0F^0TnjnSA$~X*zEcgHE+N-@
zm1=;putw_=c}U;6@jh<59(X?4zjP5)hv&AJ1xXT$AmCm%u$VyunyTRQ<7pZ|bgu7P
zj3UCcv<IPCTOE=br#lk%XaUz>zbTmk60G*|jbC}J4s``+GFwCk<X3#2)>4$<nfH0t
zq&9VkxjY?a$gT_F2MvO!?3IC!NApa?M|Bu^k?7yHQy-k@4aC>ZQoyZBtYGH6I@~=z
zf8wLKAuz-qd8(>Mg_1*`&A(RC;61_R*AzEwpObea<OdZfxznrKb!tEt@v}>x!3b=y
zdu+N&DqwuoFlo;XRZ!}S>hJqy1UYkTgS=WQ&}S`b&?iZS>v3G%_yc2@n!@St%u*qY
z8QE-Blc8Ya=y5wu6L>w-qxr^x3L-fq%_~$z@M#lq^UO8@+m<D+_9zMrE;vl){YQW}
zry32nQ4`o-Qx=@)qzq3_R333Cmjc?}MQsZPQ_#C6MV4gQuCrKoPX4bV(A#m>$$7y9
zT;H*_-VP>#eek1;+%A0Z<IMiXXSF7v%+h(8p-vHOOYM|jJFtOJympw_WfMqtaqG*V
zQvmTQYZ~qECT1dW#CS>E1ia_=f7zid2dlq>xJnOAV1scRO2*HPA?F2y)~h43;9zc+
zaZfoN^JsJaU`sQGgxQ9?tQcvCIgy&{xoa3-$kuVsE-`{M=C>|3Hzi>r|M|x`_BniR
z|M}|oszz{I)l+>)T?`I<evo^@VFh<nPkpUd44~zB(O8jF82n^Rl_dXc;N@k0{p%_K
zKGX&dKQRHgrsb=X8BB+2EkFC7bH#xERm7*)j=WID7Zuv!N{?ufrW!KAhHx>D@~yCj
z3j#7s+YJWkkvx9SrTw-6G)?OCAJ%1q_qX+4inA~v@q?R}ieKx)N0Eu5yOPYX!gN4X
zVvHWW<ZChv?bm~VM*>MBZuGF@`hRC1J)uW!B4KYk1@&Oqx_oL@bsc;4x5$rTLXURi
z?ygogx^OC$$?dwyBF3(`?>GHVI+SAd*4ysRZV+tOc747!joC;Qx<{R-L%%+(U-0bL
z0SAG75rMZyF(pEu;nkHb{9G9}Afm1V2WK4Y5_S48J>xlpMuRQ9uynP0Bu*PNC&<5J
zQ(G~$wwyoWPd4$u__cDsQ7zyUYW8G3^%8S>rfqMkx`|r_t*LmJYk@1<ctQ_TC9ZG!
z2QwVoz<*SG7Dkq8f=vdowp_6dPrcYu^zi!zp5O0S6(p?*kwxEBjy81TOLN!FmS#3^
zWd)lak=q)8mRdf(I5>b)_!OsTrrY~Eh{$QNYJfuIE!C#eBe+^-V{3E6CjRD#eON)H
zI!yLW6ly7t;kRwHro`j7@H@P-r6=gsp*%YyMBwv3d?d3XOVxx9nK(xEC`Hp?^`z9T
zw2W!o(=Jkrxt9*fyz2PN$w338r@)nXXcjLxzAn+1LXRf>c>-oq)!_DK>S;~7d0g7%
zN-uI}KthV%m2Glr@V3^xulMBw?&#v!)$PQHCR9JS6u(u4?}vAZU-ekRf6E>;$_iyd
z8sfrZ@s_GU7aVb|UvmZ5X_=4x@|GEG3L5O3ZBqeL3-*8@{x$s56~PbYqB{_G5c_d9
zUKP0HyR`a(eFM+(=|%ootf*ml54vYZh3Bz-pN6HkaBaymseMP-k<#&u?~^$c_+XXM
z_pWd|UmJ^4gS0r2m{N59g)L>U)$gwU`<ou+y<-jyGvh{sa%;ZV9hD*PMs0o_i4p0@
zrH{j29>lX`-ag!@1Ziw0d3v{)kY(UU(^t{F=u@HUqQM>|C^rt{G2mfA%?D#}m3}^?
z)^+Mk@E0<?X}b|TUa|w-ysPdueo6oZ-c24aK1PO}S?}zx1+yV@+UE7$8-hrdRU=bv
zi3ImJJlp+TIMBU>#MH|lg^}-Jm8^uPBslS1oJ%)?3mqb}kBbzFqL?T)ot$$d5b}5x
z9P)W5${aQ#J64IK`E;G?+}$LQ-h4<3l;%aI8+b-2<1S<{ll31_js)7LA}*1G_|WGw
zp%GHMrO`7lN*tNE-KQihs4ph?QPH&}ErwVb<Wcb`gS4Lnwt1=34gU!uNzY&UZzg3C
z>z4CL`5Pp7>$CH|q`EM&A2=Preo+oFYh_-_n<c>*&41tK4pG$DRhGJoK><0to5s{f
zlOZa;Y20l~3}ppxOej59M8JFHImt{3H2RkAw~9)lN$t1YrmiH!^6ZIfJEjaV65)@>
zj!L0Vd)L@GX-df0O7<shTOSKY)-RTKNu#i};)L^z6qJ&X=TP*I3RHAw)n8N=dA~gN
zh5DU}QaIBh%k5O5_TFqp?l}VTx4d4qY@v#pRxX{JIim)yF?E7xD&)}2`I__n1T~a=
zDStI6i3ZIv&ll506;SsJAvLK#YAE=+SGe*&b(p!qB1;TXM12Y|C4=!av|;)y*49T8
z%xCS6B(xHd;?s>QiQMXFzQ1sRuuB^fvQl_Nc9D@=$?r0qGwO&_CMv{oTn9K4C7k{q
zRzgAbL;fcN)Y0J`4KE5>b)mI6M&8;(85Jr$yW3)}jt0+sU6-rXhhz(hG3p5la*@j}
zZtJ9>dUc*7^Y08{<Y-<~ssI)7$`n=8@1mhY9S$uD)&LBwJ01nyrlQ>4&k$8i4XrzH
z2bI%|AlIDm-K&9$F6>~956M?S%9-mj+#5zP+izg$^MQ(<OjdY}zfeZaetTHx^NiuM
z!p`BN&Q!GTf~`cL3keBrXD5Mb0;Rtfdx<y&Rg`ew2%D5gilq5<qnjqs^m=Af@`o~7
zXfaN&bd^OcJ<5C1KAHgkam&BP&y~=s$LJhoQW70vKnxYlCNS!k;yHAXjDlOV1R~vq
zk-+;;-rDa>fXjSfy{VdrTC4vAt@-gH#Ympg#j7UZU%MP1A)$x_P91ipTCt+;Y~J7}
zIwoKh*K*0lK^_@ZS{4@V+r<6w@J)^mW8nNk@G-hiK#_O+`9GHb!{5JQ7sz)r27UWr
zxtyOe=vCA5t?KEI_)xgGp2e&Y3?_S>tQ3<*sy4CG?kc~rCzW5Y1%D$r)hV04zefU%
z8jx*b`KPc|b=8P3O8{OX!r9FQqKG(cW6Wi-%_AKJM<hZ3tUl&2?=28QMRIG$CY@KX
z-wg+WxPgH=M^U!bZ+>Kzc!%@-u64}Gv(GS+6NBAskKIll;6<)xFK%sBZD6=zl+ZPT
zAxtX1#(BE9klJ{o0&Bu1HnX6}(`sx0WYUcej(9diUG&*=v1}9LWvtGNxu6e9-&HGr
z<};(SO*exqJT|eg%KH(K>3YB$>-U#ci2)(!;X8kuH?TSDlFQz0x^P$Q^|YD5Cf=zj
zs1ZZIfwfN=2afXULI-1L&f0&=_#w)JlLtlDF_DLZlD@}wgVnJM)8x20+}~)|Ujy<Q
z)^kzj_QR(-P-T$qWotHxn}ofnVli38@~sP0SC_S6$k9rMJ#+;Bd(^_N$#Vts4vKgp
zXQK`FdKS^j^1pHBPh%AWua_}?A2Y(I7g`XzRpCE7)P^(Vrs&)3TE^0hEpNvNXu<Ta
zxgG~bgvXz>iN5%J3CsRhHckrD1TPC84Fik&*fqt!zM9TUSOLq`lip(*5Ro-EJ@}&<
ztIDvie`C6Yk&m9&CfRGiq{6Pwy8Uff%mGXGqc%&J_@QTOa@)RjtZ&5Yb3iAi(r){c
zD}D*%(tGP*XrT_$Z5y5f?0wiptMJ~(3rkp)>A&Q|^)&bw(Qq<NdJwx&&1LxI<}#M|
z&NI#2f(C{*12Q^XBUnyY7q_|X3bt&W*}~DL1|R**xHx)8v3UEQIKqKdjHhEy@s*R?
z{l~S}O6tKlCOK@QnCP>HMZP|N>*1&>SZ?js&N?!Q)h}2UDm1NQ5`kLJY=c$7$r*Jp
z#!X|Mz1${)r#CV73(bZPxKzR75cOEv^bE$$Wu21FPX~HWdK3Q~P=Vb$%lY;>&tZSR
zB@HkM(t}v#c;lNZR47QZ(#;*2$2PLXFn3J`cq)9bu>_|8!~IXWn*S|gQg<{uS^^lM
z;$`K)91{gPLdct*YRj1Z#n<6iyO}_I*IZ}DA!UdYqi5}+U&RC#_C=7+v%p!A8qtZT
zO7P&-okPM4Yna)>3hCuGx1MSy7)UcHfqvP?t;wC6ShwXutIG--{7F>TxObimo(h>0
zMM`vlPDN8@Svf(b&z-UH8wo}_re9mT(nIrdewvj9H&ph2+HG}!1fy2dNskc&$kTU^
zOgQs^iX*G;&w3&pC^2J8(q@7ZCUJ@k;)Mo<5r3njM8L@05e6;H5R#qlwby_jj(zrd
zm-$Z-=o7spmg0B7VEXR>hF=13B7|6|e_IiT55+1P`LV&p#7jLwPlaG7VoS-~qX-`s
z!W>&;IN;k8pV7mqBA}PU8uFA)5iYT}q~5IKf_IGS^fzCM!OIi7io^R9;JwvC6(-FC
zq<$tT?{x|IqB(c<bAtl({<j(aH;@+=Ld^}sf}|kuQ5eJRRs|TCA8hFP#|K58&DwqZ
zGVtpL*B}2`1?Yabvy>by06Z@E*>6{6A^B*%VurdR{JX!ITBk1rnaodi9p#gQm>ahY
zyY4B1Y{IbHWl<4Wxway=StbvUc|}AYkcqH~WAr8BVsJCFJ|HYe5wygAIWbHSA?udn
z@(EK3;QIC<|AZw8;_=9LpNB|ru6*|UtK?m<`R#4ULoFrvcyNqGK|%>^ge#v#M@vH)
zE1}C<i2~n3=Fm2PK>BX>pQ^1g5R__^Un{2q(oaO@bI(%2MLPF_FqHs24o#nzw|Q+P
zZBC!ZSQVly$5i~&<lruU$(hnnHOSuDU+^tl4LFLZTqijdpw@u7-{Lq8EbrC`9vh><
z_k!5?$Y@0fz3EBi6<3G7t|Mk|qcz~j-oYg5DiK&}szhYps6&HW^1jw>zg>A{qF3e|
z8D5RCj;-#}fG+mRH?MScfd8Vx^*8U8AZvfpW&Hyh;MREc17W`|TvxoZEIp?ThrSW`
zaLV@j#M45@-1T86!$AA+76lB%?z{fj=2<q^Xa%L)hHyW<eK_hT6^>f}I)9fz9dZW0
zGxr?<_z@-)w$DQa^aw4w%hPJ0ApPdOy^Rq(Au{OcmZ?DUGjXf4+uVLL;@aS>hA|kk
z5;s;$RiJ|47k+A-0uo~(Yyu0$@UyzwC(K?2=Dr@3@vtU?e$JnKxow@DYTA=?v4je8
z4zn@OFDroa!qx_P(FF24ML%l4qkv?bT~~XWEJRt`MM%?3!7k)CJPTEZ_>Q0>(sw0c
zL(=(Bhmk3yui00b&?~{Y-xv3{x(mU2^)rJQk|`)A-RL`DM}iKg=MyKYcY=t(t4AzT
zCXgXZhkuV#gxI}aBswi7xJr_;<+*19Li&ruo;-P|eVoLimNt(WJk?DP*!BrOL?*c+
zKM){Kc!Hm1)`Fepw7;72+8BJF+&UQjO$K&vU3z*pV*t0E3a*(@H->#BoaZ|KNP$g0
zzg_URIebg5qi3zq2wuzl!w1bJAiYD}+_Y^C=L+IPG({uOeay77*((Bb^rmJ#KejpL
zaq<Xf7C`1>Hp9}Vf}j<B-O&6u1Nv`{*IiQ@;H5%fPi8J3ocJ?bT&Ko_POmUdIPJke
zM6`Hv{Oe92Buq`v7MPGHUqUJ0VM7R6J7V(nBRlX=7>)HUm=S}4;l54}1K<}Q&QzhY
zz%k>c^fQN<k^cP-Vn%{K9H0CgE5^wHxlfjTWfYi^amK}5#tJ>K<)ktE$X~}qOLbDO
z|6oEbwG>+Tj4q@-(&=uaU&Kz^Rr{9sFri8(jw}8ux{%SZ?@Rd3X^dxI1H&nHCbW`R
z+F|Lx8-8NBEb39im~vl|aCi<Q8jUw~39QnAjn0n-0pcAP6G1W=w`4>mJ8pZr3F*M7
zvah?zNCnnnYTPo*%82r6+3pm1X@iCb>n^P;IG)&8-{ITIfDB8uF7&l%0UulZ<sX-R
z;Cm~o*uy_DAiRk3C09!eM4V+Pq3wP6eYcv6zI6=9psT9<{bNl?4!pMh!)*jFzA>aF
z@{a+<y2Xq4@oK`0h)%tYYvZ`L4jpr~3M2YMeza#OMg#tPd|xC=ZW`ZoFtd!i&4>oa
zh@Fq=G@#MA+(*oD7C-+=^4LisCUopSq1v_ZZ9e7JR!NMS$LmW6Cw5gZA+4jiNxk&{
zpG$o=nM_&4t>+@T>!O*FgLq)S?sXcpx(JmeKU~H+-kQr_@@7FeS;l;)APr{UkFr=i
zUB#tJM$!&O?Lf!>rMjGcss;ghc+&aOb^LX^uwU1ER>X8hkEEfi28^2}j~bgc@$L>{
zRGkDnQe(&co_<q>X~A0t-2c%b+njJ-{yYvep;o@p;=QfEcVKtd6MA&@$6WW)87_2&
zRN&SppbBsN!jwik7|;hZ0xzT4PSh};5yBs$0<{tuRC5_7^w>X2miYw_@|s_#$^M`M
z3QlJhh+sy%&S$O*w)3LezWn>CdQ^yeuz%5RnFU#pD%YIE_>qtLy9B)=3e*Q2J*pMY
zis&TVdf$Z#pt-M{^_)}+l)Nsy(PPApvO3E2>9@I({pj0c>J`c`%au%t73D-Dfy4yG
zOkw2B?=r}HLK!r!b9KcCb0d?zd-|nZL=m}D`hz)}GMFD*xpz;B2XQQ^UHfV)j-Z?&
zukouA<XG)cUfR!#z)_w!<RXbW*Ix>?KT!h8>WqKfO}=e@zVo#=TMB(+ZckuLQ37d{
zdU9!$AKhshQR!orL4|@ZGi@`J;6R>d)mH~WbXw(lY^bFyVhA^g(5TzyXq(StmllMO
z?b6Hu+j9acN=lKwDyR%B>7o6+c_QenX!w&VNqJQGWNqS3tTK33b*bD47DE9S1`?&R
z6c9h%y$(f13hd0!UdAp+pj%R<MfqApq|s^o(q@qYEN2gQF9z>IW=`+^;q4^k^^bne
zdyNYA-8b{U+e)LM16Iq&Ba~1f+ul>llB!U0ht5AINCy3kzz=>UQ4j-x?{?%bRbU%M
z7GLva(YN)$3-Mp6=mYnsj@*xG5cUL5>K!7W)kps4;wh>~_O!$iY8?&E6_wviQ;<hq
z3JMc*!>Z^UEi9LDQ5`CrpErECpn!%V?Y~rCQ$x-t7hC(yG~xXBM_G*9oJ?M?_u}H9
zp#f=bhkq4Xz&SsY$~Qzr55_8g2D;GDJ^>XQyF)rqXwzVn#z98s&M|c~rO?oN?}|L%
z)^3nyN`C4uri7M0gd8ilK|@4Y6P>~jdhnp`y#N=hGAfSQ6J)rThWZLtJ1#^Tz_5Rv
z<%_S%h)JgRvg}7SB))bQe+(EH<z%jqPEnB0CrjX4S4GJ?IM3?%1H8C=ILPib1zC_^
zs#eddpbz3g>c4c1p!h=3{;DPl+NF2yrdkXI6%IUdFB~!g#uU3~xf}}8)TB!yeI%n3
zJaNLZzQ*8P_{y|emx9dpm`z0BiYV{sh3@@*#&CXkJonBmWn`Ll|NHNUawtBd>4p&5
z1SI09w+T5)=$wIAJT+Jb4a%@Q_p>&Eu<YgqN-P;Aa!Fn=?2terH9cW+M@&Fo)aVbz
zfP_x?bBwu(38P;bIo}-gOdxKzwb+X$MI@*tE6vf(i)!Q&FT3n8fm=$tv=@675Zy|z
zvalmN`ebytbLE3E2)^ZRr7M<0`L5Ta<t!LbhLk1kud^{6?Xw<j;vt~I_qtLN^NaYk
zmJ@C7xA{78{PI3CKN++nQo*Dd{09&0xo+o`U<BTsgzictwSCX`yOD4$er@kwI4xlW
zg5u$lmtRXD*VnPqEZ<u&<5u=mYA(Rr81Ax=W>J**=bl4<_W+h)f!7YJ0Zi^SXxb7G
zMzSSJ9b-qwFtfW!ty7^GaJr4q6XFEW>Wwjr8v7~Ckl;%Elx7I-9c3jFYJ5m@(L>FK
zHiO+hbS5|Qy#a`s$FJOF=Rs*HJsGwWGZ=5Y4E?VmeK;iez==tj6A6E%?C@Zp#eT6n
z`AG@t!&yEC<Gd%V2;CCVeOfw$UEyxzwy@BH3y;f8p9V4`%8>><kaY$tUunLkAEyhR
ztR|f|vKWv^iSCpOVHzv!v`;N=+6`SAp(0kh=n$B-o%K_n#CpPPdXI|kh6T+*k6m?Z
zxToE_B)jEtEM7FA;J2F&bV`X{%<Emk*NG_~_Z9!ew(QOXE#ul?6vN)+e{ml7QjLF8
z>i!4wwTU7e7T1Q@acyU1j~P5a(rL6tZx}m(F{T!TYQb42^DeOm|L}Fv&cI8gL5!jJ
z^r6Z=O(+hpm>}`|#RHaHkAYr4)-RiN*5-gFF!A)!i%JjU4=E~rW@Epw+I#H()XOwr
zUZpugvAiGGOS7b|zwE{?wTK63kTpOjK&LJyr5B&$zCCojsRPTD*fb$$s>9+22++j<
zNkF#0cHoS%hRh=dKQV^F^sFgSb)bwaCbOx1$E&<!0`F~n!=@~4O`Pu1K)FnIWIUh+
zFS(_B%8jiJb5ZjxauT6|ai4Fq>$Q5E&)iMA#J&Z);oea9?SUE;72E4A@2J7)+!pNx
zh8wXyg<9WqIW^D=jy`_kAi~Wx*nH@3e#LqNXH*{+t3qFC?WnA88D8N-yPlR^hmCo>
z`TNO06&(IF(cYbXiNE?~8QCHK1+$rza-Vvr0(AxzzjdQ>@FDKZpAkDgV|!ozcG^=*
z1;5hT8w%I%;)?l4;#7@mv1&*2$}{s6;Is|$D3tfX>sLhy!Ob-o=fH@t5Rn4hM>W*8
zI%2T{(f1oh^J_38pQK<TM`Z}8?XG67xsUmumc+OlYp}<7n?c34UI?&F)|O9ZW3mJ3
zVL_U;n9X;#Wye7>aE?FVT#qWij>5dqtG-&Sb7IADr!pBDCVc+b55B;3RcZ{(8b4zh
zv$qar{r^8kS|_h&ycE0S&{|cv`UN99(xtC_B|?i-*qepFZ?Ntc2dj^`)ni)9Wl9UO
zL^$?UF8k7WIYzT?c=J%K0ecd2XT(2T5sr;`wbZUxVEb5o_kZVU!Vc6Od3NfT0_>4|
zzGGGZVbi6qdmk#cV4-OX)(OT65Us|oBa45;E(SUsW4hRiJy=#Ro_r<`@&Qfv??ryX
zJS~%3bi3QIc_W>>4#M)lm;9EU?pzJ_>HhmZ2mkNbMD~l``fGB)>{qu})Z;Uz`=3dq
zEcO#i{D&L`)(Ifwsa4hcunrrneQSyIJ1`LiV-a~j0(6BijNYbe!0I_n_lWs+VN=e_
zVk1+su*T|mcrd*QGj4FqtoYM|1v(^F7+sQuvJ;l2YvnCiOia(fWae*7x!666Fe?M+
zYWWX*-rt6~cQIxU*z{v9tC7P&K{7CHT0X-`{~fC`);KG+HGp+h%<HK#$Uv-L!K(Yv
z4=mqmbv~tY2<zXWL(xr;23M34xw71j&Aq;3ap=zo=K0#m_PUfbT&`Kjwl?j;UQX=E
z9j5%ngxEQc%b%Bm3=cAYc0&(lu~IvfP&$tN4*&rF{|uLTIF#QT#zV3*%nW1ShOuUu
z#cm!#5k)FXR46K?l1M4?l{HZzp+pNRk-ZX6zmO#<C8_KRMN!C-{N~?tz1Q`e>pkb(
zpU*w8rD`SnvI2CUtaW^o+0QNs80%gi`Gfs{Tv>JSg*-?ZUF<P+A7txXO#86^<rF)^
zs&{8Pmpq&^(fGtII?Og*AiEuo`Nd}ErYXu>%YkE7gU+#EBWx9cEwTv*XV^FIsn|#+
z$O64Gx3EEQl+7dhs*#d7$6o6ok$B_149vFwx7_G8&KA8uCCUxYv)}d#FMZdN0kMHS
z)e}Fyv)8^+4YWA3#AZjA2Aju9L;8o>>44@R?6}dvmtTDUu?rQq%ukL{U@>F0f7bjI
zJ2PcFcj3!bK(W3df6|o#Klq&8Wgh)vM{O{R+LX=>qv8wK&NNBEKJECL{JS&k$>voj
zLsC~m_ZY-AT1$bHa`ENj&N;T%*%y0DpRa+4*&Q~UTO{GW?BIJRqXqV9rpzU6rT|>G
zviiMqha@!XbKkY-Ut(XJJMrq?cOm%6`Vy0{NQRx~ugFin`N!Vh>$@lWhbZI}UNmbi
zB*VPMP0wZ_E~toVmEcnq2chQs^pt&M(Ax7L`O0T*h+r#^?_QRGL8H(|W9DSo(kgRm
z`@m}WP!UimBt!;U**3_~BtwDMtFi-feDG8=R*1_*3RZlUx{c^$sQvIT;X#G~ypLLw
zeC(Yxtm`5DJh_Vu+@EfT2W=CEQ+z!;E3)JuCHNwbOC=fHQWkga-X#VG45E}^ks|2U
z`Gu~vkOZHdxiih);$X5l@{dWhGO(G~emQeVf%{ngj@!mWn0FoBQsk}*9RdUAghVMo
zBK+_9k9A~l*-wiJ^H77)$cp`>U};dglC{m?KPf2vrsaL$91R@8d7<4>7K9#(Io@56
zhEV>c#HCM~u(H>%H9TG(_VDbK<GCvb4Q~r9+B|ijYnrq{ldc5*4m(C?(iOojeP8X*
zziUDCNv*cdf-?9#i|ZTRsSK~ywX2Hv>I1i0a-<KH3h>cRXIe}Z49KF}$E*$E%)^0K
zhn}kgyU3}3;1d;=4ldXc3+Uilyr&~(L=&=9c`6^*se@W@u<O-j228!`-#mF)7u>3%
za~;Ywpzg$77Xu>}41RGr_-8^N&dkW~c~q<gF=rlb+iGP5&z__Vk-g~Pdq~L9?6wXF
zTWc+JuQ7&gJAYFhh%A5vy3TCET8L+Kf3-Sl4B@&Pcdz9)f$62P>vC%P@Y{n7zYZ8f
zH9Om_OT!!v1Sz%2kL!bFch-L5kP*-upEMrZ!G;YXeNlz624G>NH89i00%6Vhz<X>f
zsQ)gq)cxB43b)@rsHVXLitllm$JN%rvT|&-)-Z&rBO=Lx+;niR+SqB%V*_!)?+ker
z3}L9`{cu~bKKLHZyYyMymUHjwBr-Y;z)ROMH<YCff39DRo#?iO2|Xch=6VC5E?WC%
z+NlAF*L5$yvmF$-YWsIZ>BF~V&(=+C3b2(W>za7V4k~547KvhdaL4)FW#4ilD87_U
zXz;NE>6^Y3^)?-do!PZ;eisi+l7cNZirRs|c}t!+M=gLI9~qgNui0ktN87qC*upcB
zwR=X2Xh43e_g8FWzP?t}N(iQHfLFEcfW<r&3TM)4LJ0i$S9sT$fVB-cdWW|@wpW2p
zZ_h>jI0DXnarQWov<~zms_D9(iqI!GR9M<i#E`{~dHXJFC^~JdxZo)RVKufF?W`oR
z*s^`(J=Gf43ndFh-6lh!*4@A7KS|-u6??v*(^l}cMbId5ojCNQom9T`k%D~*QrB7r
z0J^KKesP5eLhGx8;R}1D@ol2D_u0(=69oYoUx_>rNnN_=o-K{<t~BuXTw+5jGvlyK
z(>z=6n8hv6OlhP#1zzsWwgmPz!WT3DadyL{^=F)qO5@0~sgX~O1t^7}dwlv+_L7(3
zl^-l=tp9AXF6pZ|$gp*u@SN?hH`h0qmYAa;Sz5d*k;++5nDo7tHdRldg}0rqq2TF{
z!E)tC%%DXiiLzzae7(4@Oxm$?6imy#;hfZB3UkD|Kjk}C>emam``Y?aFwuGNPp7Ua
z_+&V9%XV^OO_0YdZlR#)0A+J@jtLx|@p<;IkQe`KT6v%7LBU4H$%ZD92{0VQBQ{&|
z<J-ONBYRI!@Wgge;eYAI@Kbf6`)`gQmI%=714}75XYjqERM8l8Jzv+7I)u@ixBM}a
zTN))+l}(+0XasVSk%Wd`QB;y`Vsi&cqbzmuozF%iFfM=Q^I#tV>vJ*!ntw~<Hq&Wa
z*+~}g?90h4aTmv&p!P!>FUw%!z|w`f3>Ns6Fm72}OW+mh`cO4TS<E}0lO3>u1uxtT
zr~w*8^f>*vtzBLY549vdw&P|2`PLEfMiCNr9y{Ec#V3zkt^3-pH!y+y=+E%O84{*y
zQzejJ0lCALDxRk>;TG@eFN}UNdR^G=Wv`@&n<pCnQT8xF{@jZY!463rsrjgzpss{R
zCLa0|teJqdgOodsQh2s_ZlSkH3Ex)P*lTDpL2o{rL2sbo)qBw?n~x}?sg8Q-xEvE6
ze2Q^PYm-JF=b-66WfgpueeA;*878dc2Fdz-mchW9>HQubRq(yckCiei6Sh1vyE-%{
zi^HESzHH7^#V$$e`Y}@`oOcXM7L}DpKbI6&QBNxJCJ%;Db}|9JoZfMEg97$2{^Vbl
zSHp6BnV7Z<OmJ3iHx4_ah)febfusR7B>k^9JG7k%hr-m34|yvgbNf`(`Wxy<$ti6O
zmSI8F+%}heD@rJv#2f!V4;rqMZK3@-&H|rAsoutXWi(p)<d`d<fde0FTYvYn;6lhR
zLbaU=DxPI0((h~F_~DzQEO#S_kxF%XJg$OLhl{MQSZLw{>hXuVeMazTarHs*L{)rP
zZn~}ZktPn!)elb{F$PaFhG(N16$b@v!!O8b;rjSmNv4<y)cFW^-hWKRh{Rpdvc6il
ztEj<fU9|~hhpXj=+Nq)Mz`)o4#cJXIP9L~F>(9C8cf>2Jo78Y1&Edd-I4$(tma6ka
z)(n>XtO?7;>ewWZo>$?cg$jyY1$mujaI;P4-$0f+I%b8<GDuqJVB5JA5N{4zJH!5|
zd{akzVl!XPbxovi40X>mv4HH;3Ea=9Gz{!i((mTd#O1?BnMFeuP_6PUm|#!CtK*{1
z3ZQ}Xf9vd3qb#AR*^=6|jfU5wL$W5kXh@g*lh-232B9QZ_pJ^zEYeI~9`aJhDPx}F
zn8XHKB_EQnIt_yh7X8z0)$pZrfkep+8?@#_PX}=J6X3J8*iN2`vpi#i6RH6GB##)M
zE9z+T^bqOlHx*3nj=D;*1~_`rvcG$+Iubhm)R<N%BR4x)_TE;2O6&jl+RN0?$-X}{
zJxU2D-4>)<b^x@u-%c%5Q$vsc7UU)FDPT@=NaK(j!1pJ;*X0wb=y2T4YX1>AJbvq+
zU4cD7V&JiGv0+sdv&bpA<spN9LJ{+`1^_p%k=KUORq>rv%!`eODA*JiGxSOv;A=ns
zip?1noZQ`)I$t7*dkcsaaqrkb^vaoaZBoXP>K*GssAP=XCwJ-n2{w%Ot42DBDr1sE
zmHBuZ5xIZGXWx}zgZEwQ*c<Lj7+iccPUVgS>RMMUthr?gbwSnCADa}h$h5rR%|mf~
zY*-uHwAK=wzyG(vcR?O&8ojQ(n;_t-n^~^u6&8@^_${lcTn^X1hy7t&3HW#8fc6iT
z1q^6Ceo`7Gixcu%(%x-iC=tlVkgYa{^$_t>%U1?(^Zlcxnu_6t-K1y6EOUrIkoKhB
zLmJD5I_K1<L~&*Oc&<sM8QgC-ej2xrf}fSY9$xiT6i+tKDNiuWpxf?Kv2ltNYV$v8
z3Xl}TsXFTuE0w08n6Lea@k$coMcvE{BgC-xVd^x$2`A69*PpzqCW)--Q=a<-2>43M
zVk*AQ1h#3|scuRqW4YVC7VSU+W;`Yy`e|nZ8Y|z!3G!t8-C1{}evp7hn_~awb{a!t
zqU7<YS`v1pckOu<D2^NN6>XdKF^1QDM!U6+k+A)x^miwI34B-<<!3X?$>*#~r&EB0
zdEy1KVO0{y6d9ZBJ8uNXn$PO$Qc1XpedkpDaU$-Y-8oLyG=lGAeMQmoBz)ASH}Kk)
zgbjR65oWC{km1_5pR7YdjhP=WqtwY5wDWfBts^X`TvY}kn@K3X`AonIDM>t&CzWtd
zjs-c&!P`vYNZ4!E#9bvVg_^_uM@n8Xq1k!IoZwp$-X~4b59v@)OX+KjR2&ly6aMba
zHY8)H_?fK|&eGUqTx#xW$Apb32lESVlktpyp+iHA47$iZJpD<S39{RB*UoB7;(2Y~
z11YVts9anWNdLru^Evvxn;IptH1&n$Ze@9FGcTMUd&qz*;Ubw)N2QS9zbG;ruYg`1
zcc|$X8Q}k<N^Xlj1veZRnfG6%gz`%_J3pOdz)VG3eiWB9E)3LHi!>-<)pUtOU=RZ&
z%dh)Zk4U3=MN~`I1!YuPwtuv6kO8A7@6N>b$e`ra@K4`%so*U_B-u8M0WF_95_a^<
z;xoQg_YGO9=(QCtid<m8=0tz~;8{6bCeJxo6R7C2HJV4Fi~%Q;QgmL*DB!usv0~Q=
zDtbAeI3+N`0Acp;VO7q%P}&}_!Ms@wEj~VV$>#7yqB=tHr=1d>s?<x{o2QPy#kf4T
zg)pHz`>VyucP0E6R#ny<Lc_GEWQ`kdnPB$$_LOkCGIHs?Ncv%^furn#a}TXqAe9(;
z?+&QoZ^P&Fvr8IyBYS%1>1QlpdaL}DnN-2$F`w+b0!^$bIN5%Cvk@e}?avG4@GObu
zG7w~;g(azfWCACQ;5T=OWh_u}OPkH+>KZK^8Y>gJmSGIanfg~g4pDJr;BVGvk~Wrn
zU*u15<oL;k#`kX`)KGBx+UGM)+L%9jmS0@h6jD9}ncfys$EOi8B2RW|V`$90%Hd8^
zFnzSG{M31M99`zM3bNJ4#B#B`@EkJ$rmX(izv?LaS2_E{iWZ90S~h3+n*&6Tw{UUz
zN1SQSUr5qI`O=i0J{=3#ePUx|TrLeus)BhUziT4vd`*hgcMAv;>ApVSPD4FaD=tMP
zO{|FUpp;*;1kzl0PQ?%n=aW-h!*w;VBYdB^H?To+_3+^R&zzi}9=nuHp`n51ox`s?
z*pQT)Z5j52hS&Q2AGVCD;lb$iHJO|m#JHiQ>>f!&6-lv}wfR&WzjgAK);55Kj#{5}
znl#irPE0+uSrwZ<x!?bF0>Hib=$^Na)v<Z5CG_kcW$g2+K6*a|VB<L3)`+E!;gap*
zZFx#4XSK%p<W&wAlF7N!*VT|{lRg)JR{^#9`}Tj#0JybfMmc(xioeU5jBk2!I2l6T
zdnF#gkG4Cqf=$I!uXo?e>y^eHXBMUEFo15>1%_CZDylZ_?YDj+g~`8H^nINGZu(t4
zGVw?SKL?2&7JfxWRsZ;#pHu*Zv(md`r<C#1&WRXdX%hPV`;+u?hz$?qQ#KB(E90(@
zmHxZ0Nnqv6hF>Q_*zlqw&jEKS;ekYAO^l~F?)WhrA-HS_+xsb<WHUvqlKMJ$e-i=Y
zXGdJJ&saiH7<)}wgFGe|=BLwth;rsP-4|T40H;FYOvf%cyrXer>$@8wc<@Jd-QqC|
z$l1Z`WGN<#`Tm<9J}VYRb?r~Co!`vCD<&GWx}@>G<y5|<h%gTH5Q)!rn*-k^uGMSH
zDHujml`5<jLPF*<=f?MDur7o7#^<gSHnD!EKE5r4Y2AnJlsTD!y}J-8=!qnbHuN!{
zzZSwFnSoN{CR6w_+4TI{S289nMf%hm3ZriG?Zj~~g_*N^RHn4axG&9W`B0NE#_m{n
z#^&U|o7<c1nn@(w786mrElvdQwcIGWX=wrqPkrJBc}O^Q<nEpS9Ti3Q>ba%E|1*Y5
zzuc`Zr4w<7H=jjav>49N<hp0=jUjS#86}@h#7#dc&A7Y>Si*Rz64hk{E(&MQ25}LQ
z)%MhFmQNgCc<~<JzSju&(e1bEM+v-PbaMT}265bQm3+Q_fdvW2jvlFKkwBeg1^#ar
zC9vMS<QUIo7Mu}Xx$yUu1X5NSPbD5EqWu={eTNKKpysinS}-nw`_J$%7kQI#TrfGo
zsf!5}mF~rCX(B%OY19_&MMj0em;Q@qm{6F^NcZz5;<E$l=KBsx;-sVC(ayC@NDDvZ
z_rFRa7L8=4)Fw+I>saDei!Tg#zsGz+PKAU|cP<%zMG9_}6E!c+XTXP7YX7avCt<!&
ztclGU89Y5XHlG{70B)1rOd^YnrK{Q+m3PWwkZa+Z8w>`V>i1h6+)GAzcR7W^W;s+H
z6W(Df$N*DMx}-y<B=Y@qQ}3`<z%3>RCYa-N2*_UB`k%iPx`>Rfa_myX)zw3<)jH|m
z<Sl&t-+BrjO;dPh`9uk?D(rjxzL5@3>{;#c=F+GbvY|>lO&Ki*B~7I`>+he|XLPNT
zLDr~j<*g8oHwE=PuYXO4EjLQ!g1u!iXW!eKmv^Y5@O1&hQqJ7Rs;@uQ#LJ;$s>WpO
zdMchLJDzSOFhGyjx#KzK{_}X5c;8~FVR)#B=7b#s9G1tAcoP)y<8_O|9CdZ19gB?o
za-IPvd?9R}p@e*X$#{cAL(6IDkf31(c>drMe>$p!<$-yAp35{GF^S-l-pGVZMOk69
zTxHy+tdu?eSp)O+Hqos(J<IsF%C&DED#&7dFdBcLi7&p$-C5kk;lhJ1%XzXYsw9ht
zMg(c0*QJ%8f4{MypB$TK^+pu~uyi6oQX5~`9@k5`VgwO;j}C83pkmGY7jZ^;+88aw
zY722ShFmxza?*_B|Cu&tg9UVOW=LXPubc^7&1tJI8&N~|x(ok4+v{Nbo0NEuX%o0!
zG}`p`tU4|nN-%8n*1?IjfoFT#O+j7Xcq(0thM|N-bhFaIo5x%XDjt}@tKu~iWr;Lg
zsJk#WGp&vOtK$#XrkF$OL6X~=DH=NW+##O{(#G<bz~8<HEnp$L%c{&=12rTUj$W$P
z!nHQRzem`XV0TITl}(TaMry^_J?zlL`KoVEVtCnL{UZANr)Uk_q3<(n`a}bJE@!@d
zQNxCp&r1HR3)jF+E5BHdQ8cuv$UFQ|3*enYE?v|`1CK_A_Z{b)*Wk{B2hSY@a6L7j
zkt3*q(WMUITdSzpmqdTbyaCXi#gn33KtugE4gMq(RZNh%lWN)soPCysUe=&t%%Skn
z$!d;YpR6tS`vg#M$#yvHqB?f?^w<=bDPeIm>G0AJ0N;oK&(<$$7_p~~wk1;@H$CaM
zul@{R@>W}N4^0hoKZoXd4#?p5!F@(ITLA7Kl<-R1LB%PL>1bI`3VL6@`k%l(fUCjf
zPhOl;#W+W@zn_RCW)bCWJfi`$!@hp$C{n>I7X^9sR)~0UDE2DJ1)!X@_|K_L8J}<U
znjbab_@^NHmQw)W^d;V`NhKV4sw4XBHUW36iA^=HWW#NW)1HS!CEV-!U#(4<DC*Rd
zmRRbufuZE}#XU*^pDDk$HM}H@ElVj)k2rl{f6#(g$TvCMYSHZ$Gc1UoC;wY2CRxIP
z{TH@d@0Ud>Fudq;O#suR7t=b<TEK;(0Ih@-X{`TFy{cQqk5^5Pq$N$7!;6#^2lo;R
zPPlzgDx&gZUTR9GsE0Ycyl1>3dr}GoBe#Ak>*vEwfggQ0HJX9B7Ez;ow<OLFaEE>F
z<HG>!3Ks(13`+Ih+&t$;Mz7-a6>&2B`0v^^%1pi~>=YC<&Wa}Cp#cHGRp<HfN;|{v
zB-s=OUG&ZGJtbnbD3|g%T>%`~wm2n}WC8*!SE5ZwM3nXT^w)k-0GA^M|6AcPfy;La
znb*!q;F;Oo<byv1@p1F;@bxHTP-yN+Ac;$$pVBDLmo>up=D=Q2Z7yT5&P=s=T`7)g
z1nfLvC4zNk*(Lqwj9}N7Jl%i6oc_SS=XidODBfp;ubC4yg5y<v7v8KFN5&UYUA+(i
zuRW{VQjo)fjt|}w33PFcseAXa_X7bx=Di(XtH%Pv`}ry-nBo}g?wVT1nbRL?EA+C7
z3GdP_NOC)gV_w>Mjlz5hRQni|@Z66HSz!#t+u`Dv*&LiLc!P)rjEL<%Ynb3xGQIK7
zV{xo*wBQYWK*9@^4P1*4IC&*a&o3ZIpi6=4s*4=o;5uZhJK@cMVChi*(<dd+DX90B
zD3=tvM)dy6BQjupTlJ~!^PKMwbPnINqo5N{?D<QaysbPv_=%cG#K3FB@ugg8TvPPT
zVqH2NR@D(zzw42(sLx8{o`@`dDln(m`_kd|w2@-XI0>sx&6g>qa(wB;r6GG`I;>bb
zI^|V!_?}=Lnod)|7)@`1Whpwmf<E=ytCGmCbA)^0ts-XBn<(gT)8WEYt(;`46n58b
ze{rZ)32ViZn#%qdf<gE%%DpTKZa(T9eV5bg+j+<PPA?e3x{v7V`A8ZwJRD+Y3OGJa
zm`qCGr$bbZMPtu*8Dzg2*J9k{@WMiDxL1u1CIq9ecMRn4QANn7(OXpf%%9(qu!Ro0
zD{sD;OOVHnih?S{dusUa^62&K6gm_qT^zXiTLG<x^TgMdtE0`hfsIrj9eQugY9_Ok
z@Y^o7r{rTAM$6SGj$1Nd;Bk$D%Ayj!{iWH;Q>%e<`6``VoSw32*rC((xiV^=7d{<b
z!Qn#X{zQLMCgiZ+$?B%6V95`WpySuI5UM{gJ2^f;a8^_Oy;Bu!Xy=2eA=)@nZN(mm
zVZrYMWf|(aRLoBMecxSA2NgW`X$;vJf&2BBA6NcRF_n8nF|kDlpO4xu9hEVLB!hwk
z&ssI~KUTIz$y^sTeqM5jSvH2R>jYCUR2`qaYwmd-rHju>#iVT~O`urP<a>lF4f%YF
z0vayr;t#`OH>t0tpy2=VZdDx(E4H_||93za%@=mZT^}}sX$AYi%QhPLP0g1+!l#QF
z`!AaJ44A_K=H63&4>`SvaEbPCpAO#I^!9<%2Maiw>2#-!OA`e@xO<N!YvX3Rq{;dQ
zOX#RC=NzXdE~_8=F>+E1RR`VvD&?|4^9*6U-C7d|#f7eUFg4Nm?0?y91_1P>FgB0A
zCf<0!cazdcL&tvZ@T6FPy-sJZtY6f?M=5u|-lePKzC8osTrUAAcMEej<ZGaFLk|^`
zIR9^KdGyyRE67<mysJc01J6($^5Q<IphU|^aU<0VxPrt<!k202s(Z|CwVE<s@jOx#
zX=DX=sztOa2GvpS3_-hZP65wn$Q*cNVg<4(^Don-)$!Ef>iM7+S^T*(y(d=33Z9Jh
z1@f}h@a&yPDYw@YT<m(Y$3xr-<P(RR6Sh-vLgf+f6-i0V-raSje;nX_J>!3O_oyP@
zITe%hH;Fi*akBMGH2|SBRi){W3f?b%E~k4+9LuF63r$Z0d<{}BoH(wG5mEDX-^|6Z
z<@LQyS2^|W<pr93bCeQ#^e#_*mJ-Iko{!G-aW<SfdOlc6RS`k`U_wlk0ABMnt8{W@
z15ZnI&%15%IBdT3`O+aiv<q_RpRKlpY1Mak^{&g}curl4)H_~`p8f7(A#Dj((`QRE
zIb1lq-(tz5a5b(ya^?Jo6Be+#t>R-&1O?M?Q^n)@craihWUIypbFj{D6JC~-!q%sm
zIgCIabZ8j+Vq<I$Btm{)a|aoFmd~v`UB`oCty_u(vdkdfz5B$;0urv)<~54i$%8k=
z$}cPZGlleZ{Bz>hi73t8cVelG2M@Gfa1h>W3d#!AY`t;`Yz)hc8ZcRnO!0?~1|24_
zW_M4e=2vkH5J~(aI=LFReEfN)*W3i!+Y&6*SmGGOgxG`^ym&3~VC1F;#_(n9oeXL|
z0srWD8~HV^!OzoYnyOTdA#AhEC`FTi0TOY43y1ko&^xfn>Y5QGuD%!9dsz&rv!46y
zl?2d@cGW~m)(C8Cwz(PbiD6=vm(1UAK?IZem)_S{;IL7Ip?6mlH#pWl)tnN-9zyA6
z3n~k0E#jYYpAy9@{@R<mqD3&A5S27g!i1m{7g3=TqS!eahOvfXX!Xu{I24#LVW)a}
zFjo{E?)YAojUr(4hQ1Ewdj^=@3!3zv7DX+|5s}<bajenX?&Nut<L%ok|78Y>q4tGg
z!j01ssPSX-1}zB&B-}OBpIbw~fykREnnA>og*eh&4IPRCj?~Qu60kIHBxwps=uMNI
zk@ly<gY{dS>PI+mTq9uQwn9dgcCWG(X*vug=&@anisRSqKegPpNTEPVw2M-gA-I$E
ztvfiJo%5sR{C!NpJB!~Nc{2@xv@bj1aFYZooC+ebO=WOKaZiP#pCNds?2!piA!4WM
zO5d;7oIc{cpnS*35I`}G&+-rnpXtQEsg9J#fuN|R4`f65KL7v#|Njh^hdb4O6vt)n
zy*JmoxZI0tbI+yB5=BT!3zZ0EL@Gk5$Sf))g_IvjM#=XeijYb}Y1v9tR%So{!25Ha
z&+~rH>%2yvFha%sByi~0v#~)tC9FzOb!}du0oRj<A})cF$fYBxWSXgrcDH2&e5PpN
zz`a9GFG&hLIimNCrK+IyVC&zqX&Ok+)sR2cNhANxuN>3as#rj)y7ZOJ0KVSf;r3yZ
z#p9QEdhaPF;pK$=xjL!_@F>PpHh7mDMyU!ebT_J@k$IWfJ68ixIq2ea;jKKDTl!yL
zJD`pdG8&pj=?2hrXg;>rR}nq_`UGk6Xkz{K@4D%O2Eg4>-7zw+gu9sA2ehbK*#6~=
zC}q7N6nxvpJ@85y4W%~T({(4~aN+}bwKhWtqISF-Emy%})`UNnhqN)NcJoWGZAK7T
z@hI3eLlx7Wa-=23>7Znn&Y~wL9bOEGYt2TIP<yuU{kAAw?6~$M()1}E4nFg!xAs*-
z=~%C&?OQ0w`%gnPD&H9X6W$~%W}}XuZ4}FLh4t`D(P!=VDJD?+?A7*uB@G-_NDTR!
zuZJQTyVqN$n1ZZI>*Ad$4Sb`0^quCs9_E<-=a-&q22r8bZ^h~~QKLb+j$2wEvp1#{
zVU;<^erMl#@_-hSCB(mOoYBJuWf{E(Z!Ms&rkUG`lZ+P*tG~@Yr-%M=-eOVnmO!yK
ztsXi>#=Lg_#LkZtd=ej~<u7RsZvSrH)gB-tf7-F_)dRXXEyy?=r@;Ud?TkI=6tq#y
zOlY5Ci4Mk(Jlwxa1mIX!VYMes8*^++_Ydl8<ABPk8P9lt?<+3c!}8iVsE|n9JEes-
z$^nAT0|1xo9>z3&A>&ciwLZa>8aVdBSe4U&3A>J_#6CDm#(19h=VDvckj9nSBYuzx
zZ)zK?+9tISzj5As-KB~&Ukl%!OeScjem<gRqlLZZYgHwCl`%{0P4l55Cd|mpdVV{i
ziEre;l*bMzpaA#YZQZw+a4)0cM|YYA)(!C~Pua<0-KbMZ=xPr0hr6O_wmPPLA;lm4
zDT%@PQXI@sCWMFN37tEuhMhA@4~+)I(7U@+C5XucUk3vZ!zdEkd^4K9pf7^9wV7K@
zIhkN0C2-Q!PZhhgpK*oX5x_`#V#Sw6fSlL!$1XXj;5l7!kH}IUe6;24_J|08uv6lt
zbh<M7EGTAN^x(uVt(>8~>HsPt69K`S6>-_2BUSbW8#)Z;`Z*UeK<-1}S;<ZEs5E_t
zbSZufve!vR@1M1XQQh!awga;G=J|U4u<n0^eQwEtwf5FfI{RjztUwx51#e#uPhKW2
z+b3A$UbKP$k9DPSe<e|t@$b%d{w2cu-|%ens3jcAe;_k+NCGnoeD^EcE)vmRMh4F<
zETJ%eLE;&oILh?Oh-!&05?n6wGNI`fAR-l^#M>r{ZZ~>dns+S{9E6Ib&3AK%pBB<^
zE)l^thrzuYRF;U5W9QEo*qK9O#Lw)S5@C!sVN~i`Eff1q%o2Kv%z*TvohvXy2#;EZ
zx!x~XAtZahTJiFkL4Igc_;+DJ<Q%_vJVKWRr)i1`yTeVPc4xc;xt$-^E_bcJr@96o
zv+o<3`C<Yg!8`J79`PZiSFL#5kQFB{`SiYaHG%bOrhI(9@nXKQ`2@Ew8`cTGdBoRh
z45!kRw>~iA#dX^mTUxHM<3YV)>$?nNcs_aD5gU2Xi`CPr@Gl3(2IzIQJf;Izp21~}
zNFH>Q9X0O=<ihC9vphjShqsCuPu_a+pknwe@8U0RJb3jPSItu+nA9a_^X%fmoL9Ei
z0U5k#v}gLrlg&mD&SOuq%i_VU9a_QnUHI|C4d0sDK||o3$EMvsdGJFrYt|=CL8MtT
zxbdhVL?p}XNeSXbNB5aTX<=cEufAO?BxwkmEFW*uMEJ0wQShU@f(Wk7c$G9#Z2;@^
zYo927<iq%njn927MNwxtPdRhD0Tf?j$=|v9Z~3puB*zdj%-Vx55AYg*#LeYW*DnH?
zIW1APw?-T<Zt2|l;V})y3JUm7$qJ$6wAOJGNlCm(w@~$tqQU;<g4zIUVH_#e>w)u9
zNa}q+jxeV|@1|F7SJ_0+WaHcK(+V;;Csk4PhMfldb4Sc#KZ#(k^Go~EHd%~l9=~Gr
zo(deJ{Vio3qNtm%Q+g&{9)0&zbnkyah1!k^zrmMcXffXWJ1RmEPq4cd9lS~foq`_{
zuYZc8UY+~J6PC&d=XiSE(y1WN^4*A}B8gEyRL@*ouY!vzZ%5W=P(i&{{CYr;6q-)a
zPa7XlMajjwBM%Cw5Y3*sTcBGS-`7@q-ML7@f8WM*SsSTvf!e9-xLy{o+Z7&d>Q=)8
zW_1azzp22sKfr0tH#v0XT~sL**FYo7maBK^G|<RnEZ#q_fQ$p(w_o{b;>VUFI}fDN
z;FFCW?^ZV@6#f$Xx$~YD9?$rOHOn+mI^N1b%2vk5dIx><*|hP;=MXA2(E!fnc${WA
ztAdZY#oa<T>Y#mf?jELwA&>^e$eE{C=Pvl|*q^40`7;Mw+4>E^s=Gq+`dJdbtZ#Tx
zP)|V>#q@h3bw*$mt1{-Eu7)@JsDqUqdMMp?BHi;29n{5`Tvj>i=vB-4P^VfS2Sg%w
ze62Btu+&;->l_W-yKd*>wI)>Ty;b_`MxP0sEIB@O?VKiR8E@Q}bA*a7bnT5iB+Z~U
zk9UvaVJ%GQGg(==K*co%TDh)%=5WO2?*<`zGS0Gp5|K-!BAHK`^K6v`G~_q>Xa6Ik
z{Ctkq6&ETVw%4<%<g<dJ9VH(IFKXioGqrZ#JAG7-n+^!tZVg|5<nw0n>R?*eUeZXd
z9`b5?<`UN#Kz`l3@@JC{ZgZZ#^miQvo%f~R+Tahc+~%&k^Pmo%pLUnhOxD4q)^mCm
z;{Zofu70}cse{{TB=N!1WW4^uHYL)R35zao8omhYpm}cSnkQQ|(N@VMMdu+C4$n1l
zXy<8T+n`2?pP)M09D5mic6pUYM1mR5EEzYw>#E|eR>g;3W$J!v+CYNQ9f1@rGM>m2
zuHC;|8F{Mc7n;p%pz~*u#&2US%;!<@f4P2jPgk7{i!`!<sGyB3{+gQj%VOf{L1}3W
zk?eLck+p#v<xeKFSTwNm@Os&DD{<T+l8{*SlL=*ho3uBzsp09+z$@cz!dTH=H_?BO
z39%BaYIdhds4VL@<8+!2S#&*!hJ8$My`d<0+g24l6!!eS?8AxohUK;^N;5&MG<Kix
z8WkjeERrF(SW&4_hnYbD*f|O*=cg#)OL2k6|Nboz{)R27n|1-bz4pkdLrVcA+5WRQ
z<UdD5+3xl>Wd*Q4=d^))Ko;fQqnA#|O%bxsqLPm@8PFx>mZ8ufjhR^nzeL6-iRhkv
z?8<T0P;za$Eby@;hCjbc@5%c?to<8cD^PC*Klc70u?>hL-AjxXKRZg8U3$TNddU)c
z&a`+>>5Jj>I4i5^+7UuU>aJY~SVG0&%$037MQ}7qMgDc+2+_cEc-NNG79eU*IF>Vn
zF?@|wli<lwLSoM`&r3b#5cBDCYyKKR^jQDtUbpIZ;<aW(Xn?voxJsr8$9C}Hj!mTV
zlDo$Vd9k_1-lJw9Gb1N<sE-G~)lcL}ktT^ZnDF199#d!|_xTo5xY6a&ozwQ}zlkJg
zLZH;p6yie+Q)KHoaqg*4UEIJQg7ZU)%kLZ$NH+Z#^C5u)8GmytB3h;iu5vE9niXRh
zbJG6Fev%#ga{`A8T4#xoBf%fW_8UWxa-H!+IUB0qXySDp{7dY2$=DtJkq$2}tb|hp
z*wCg}%OF5uk@%Epr{d*GhXYRg=8Lmgal<j;P>rx<qCr#UV@#V7u>F`~$+cs}m$&&V
zeh>U3RM=u2KHC{Va%TRP90gW<`&3LK(|ipUJ}62#_RJ7m;yzSnNVB5N<iWt0ELObu
zcd=lbiy^%5G2Zf-&We3H?7hWn*in$pVItwZ0aO%j^wT)ZikDi4AM7~AfxkO^Th;^^
zzybQ@wc)Q=vGM_buYnR5M);_cf6UXMX;iXQ!<7x+*M<D~)5DG7H*#)nOQ*pzFZ;>A
z<80V;WQW&(CA@fDAZJSqg$8D&P0_O@?6}tH@S8hV`7v@oi5AgCg{8*xBeARR8G3dN
z`qu~|%f1WY$%m=XtIX6gJ;8~5^RZuBVuewyF4limi3(m}55kqMa-sF-Zs+;?t9{Ap
zK!Y3l;CaiEEv%0lcb*M9zn)DDzx8JuR0!+CFR2*6`wU*BcVcr#kT{0KwcXlwP7nC5
zi0~9Y<3m)O<w*M@fzmvr%I%VR;CHo3$T?a7*Kl1eEY6X_WYJ$$0u>bC^xNS0a<dRl
z>0j1S^pU|q;)W)h4+WC$Y`1VO6UNgAG&g->%3+|2z;S6A3PksoZ{vF=f&mukx2~>N
zKwka1ZHLEoVd3DEWyqo^&XTr$Xp2?C8dLSU^mn>2JK?_Lk%KteZTPRWY)l!O8X1S}
zKj}hT(}!>B_asns;a2k&Emic^;!o&ep@2`LB%_rsg&~JF`jC#2Q0&M|a?3gjsMyk;
zpLi#Y92D<lr_X8_ETCdTU7dfQ8k6!fM;3dQ4&L6lSp&&!+z$?|)q{z-`y`XY@|bCP
zx3%Z3ChnB)@-*SnhhjT^!TDfCoa}Gy3D`@<TW-%d1D5sSX2vWhx2-ZdPhHm7u%L~B
zUngRwv#GErXr0&t9~CrjI^F5C$}gWlZ@+418l28ocs+7l6|dA^pExS7ha21!gSc0{
z@0I-yBabo?YFUQoQ7-A@&d{>_C|N^bc5q~ld{skt4athIm{m^oxmb45jbM6BPfW3-
z2A=AjWNnb3p-D|bWnDNOp0y8@+;!AM6Q{_ohD;hxUCfa_{>m7nmq#q+SNV1GwijjK
zCk>+(D(r8%n1X_#UaeUg8T<Sj{#3~upqNqo@$!B%Xm)abnwF`JvbaX!kc<I}^uMU%
zOtyf>kq)s&(K>jN@AkRM&ou1UNPEm;U<GF@3r~<ub#a#K(OH9iG}IoBQ#5{W4V>{=
z2YR0AqE|%ug`Krj^l2Yocg`3f+1kS>NsWS596sr_SM^c<*+HG5-vCz}<J;KmC>SO|
zJt?`Df_8fqQ-m)uVYr%-yF#X5?n>U@=J(ntJyGHDo@4{!J2zfE@In_87Ymakg|slM
zxF>LHx(&pY-Crs-(Z!E{%_Cl`s^jhRB@ewm+raxEno_jC4k|Qm9j8!Ku_+_3$&=R>
zzM2)(mhRL>dzS8uhEzp7sISqQENKg7YOiiSrjn8ESOVj%fDF1dTKJvdu!Ub{FM?e9
zG?Biyx$M}y81CONn)&I24QPDXUUTZ829A~<E<gNA5cztADKGPE;N|$j&E%hI825gM
z;oTlij8@;+SLbL0yUdlux%QH<s^!=4&>9vT=MK2v@q-B*wB@jGA5}0Xe8^;^Xqr$-
zwTpRoiU}pGYvM+|l=19#hit3Q!^B*9ZK?b!?*_NmlaiVhFvR{8&tge8p-`~v{<;!?
zecWRUT{E)yeyQ5#p;9&DM?jy2zX^cG73PBLMrjnh9-zOY{S9L*<kxHQR0arN?f!hV
zM*>ed?n|CZ`pOWPmKDjVu!ab`_ftnsi=ocHfAw)PgN!_(eEz5JtYGB8iCW<x5$wNb
z<?qQl%xD?t(obc#f}x~Lz2_@}80WUWsU>fiAv-Dk-rvL$bR|6ozsB?7(z*YBN9YeT
z%G5iLpEzUz(GPC?`s~MzJ%jLJgk^|Pouq#FUAZ|ZxbyKDWO1Oof6+dtwF8XLPeb$U
zXUu?Q{>y<3snxwY>;CtS+Be2hIj3?Sm;vY4V<Rp@ESMg+rE}luPmGalZ~nA&Q|O-)
zI3+r{OpKp4ck4R(o{?2VEgTpzfqG+;#`X&fL~~J&_(g};jQ4V50b6WMfU^7qw%(j0
zw#+IW5LN78B!!0t-!3$Uh(I>|H;OYvP(>mye@i37|IhfzLT+QoD0tpIJ@bdyW%<~&
z@Z^6CJ)ePO;V?QFx@WrREB_`gwRFVMc`^v;82$r|UyPt?ciM#%@+2|%XFSWjs)p$8
zNoqRlW(3bSn*T|?I8J=8&zJGnZ6S)j8F@QCHH5#~&6T>b-wF4lXEs?dx`>Viue<NS
z5c~~^s)y~P#Fh3<{*<)W#1n-RAyN$nK;As1AQ?46%pJTbzhnFzQJ<EnFm7!CMh#g-
zsYi#2Z6@Qh6O2Bh^F~*mMKcXvj5=NEZW|){MJAJ49lsJ^F1C#RbfQ6s(z#!qzC#3;
zncKV9QT@bzZrb?xn^ljvq3u&_I7FD<%kD3%93-Z5B5c+6P(gz-<dtJPMA*7e4OW(h
ziPs#S-mE|LVUB(H()*Ml;&csf$k_HVg6z~XH7KSJwCwxLtDM8crv%EayB~iLu`lb@
zU)t!w@LaL`bk#7yX}|KNCw78(wa$_2P9z0JGs)XAYlLW=zf4!U`HOg0|5|@*r7k?D
zxFnX|8YPx<g|aWG{vnR0UFK^4qXT_Nl9L%7BSKHCd7k!ois<h7M*nWA1Dbt_$y(cg
z5M`p#T)NRS#GVd5{qj@VAW>>rQN;O^;62c%SnoYY-1Kl85q(RBhn>z3g-0d`k1QAM
zvEB1Tg&SLi1ceOw6ppmE6Tb-e9#__fR~8A&3I%)Oj25($1y(r9eiOb|eUD$`Ss}RE
z8dR0XHR0E`i5JNWe+Z6$*Q&sa1%pm(WZ&$r34Dt?&&?f}Cf*m47Kfg%!33$QZ*ff;
zkeeDG;Kx2oyezhRXT6&Z=PtgY_Zn+}t)X)i{plQGB9>SutIB~7UZ{7L+*60F;K^ps
z+Iix7<$3k%{9NezXhFl#P#uod>aWQ6EfR+u7ECv5@?Z<$eOj+x4a~lTz1m{3LhxTo
z4wH-I!=F*X{omKCf%CI@i?RR~+`Wlv<gj{I2Ho+#Z#YZ>*~%mZ_BU&=>Qz%=+g@QL
zJqQvQJ57SP^<XpR&xX5-xQ&D-L@+qhV@AQ41m>6BKYdf?z>Uum81+}gaMyv)PO6it
zP&2Vhu#uAsr7RBZVH}abf7;YTsSi|vTknBUi98P;rtELgi;+Ut{{}w0o>hg!ccf43
z0eqN1o4#RKDTAXqft`=TR6$!Q$Lj2N0j%({Hk($E#|ho0pVxy`;ow%Bkk}%O0<Y}-
z{xmA$-J_`D7Ox6cxixMl-;1E+?e@U`x|Q*PLupORJyi(kxqnjexEOlpo-7I2p^9#I
zdtL9YA%X60Bdeq9CGg3$sJklyYB)Bf@#9z|3ASuIKDA^ch1@ljmIZz4cs=T6)&&_g
z7#Pd^(7HzkPbq(HJJYU-S0n<sR43J-)TmPT#C<u8P$~*7dPBzYU3;oLSTta{Gs#$v
zs)!KDahS58gV9~1HHup_fqf{M-}ay~#>a6xC>!Wu_``3{`4+Sw!znNH)_WD~+BPq-
z)0~P777vlJ8Esg9X1{!z7YRFa*86h$&@f?}C71SQ3Y_Yfex(0h4cFfBJTDt=fXm5z
zR$Ky9Xkj+iIGoWy*FH{(@+d>Rdh7UY%MuzK*u}biTwe=`pF)>k>@dQHkQ1C%v4-%P
z^~+Pow`8nq+r9ItEFFzX-d)^~OozvpNA_oi>ENmD)>e&qbmVV-CLr>}1bAN@YZji@
z#WT)fsy*FwoSy}WRxNW#HQL}Dv`r6pX)I<RE2m=^yKhWyktNVMYFeC9^-=TIPOlJM
zIy%MdV&T?dK-|EC5-Ff!bZReKn2izcS#Or4@?zC<%jHE~GpKlEMLB)>j{%BDEeljn
zF+nt|_^k2jox%R(h_9?Y4a>8R2oB8J0Nrx}rpu^kxxCrUFJBM0dMPD;>9mF48G2`a
zhEg$w*U5ottBs1jjS9_&*23=TPp?@xsObNML$Rhp9U*;ME%@VFU|xvQp6}7a3U)__
zb~zR7qfeQA5LgG{*REvdZKR;v=Vx0V?vueU!%tqf@~wl3z+cP5tA74|srHJKod~L3
zVCVn3nj<;%+_mOB8UIqwR2<=E$H!ft&s|Ph3!J>U%>kjB*q!c}T`fF8{O0NH5|mgA
z9|EfB|JkUc>%WC=jp%obhK~5?=`>pi6u<wVR)~ZgANNU?wazkdF3@Xb#RjAweczWq
zsEppi?(PMwtZ+gpw<jvl1{A-)BU$7qtoG`@@>LElcxbjR$?zo;4h4Mc*3Xu~Z@2r*
zXG?iOkn-It&yoq!8Hbn=-4ZCb#aG6ICIC0vK3IOg3lM2OI-Bewiq&8C?%n-b5WI$;
zx*j3{EM<kc7^@4S(KaEU^cEq=+2Y-jw(851iPK$Y%(?MNWLHt9tT3DiO^H@<vR>^c
zPO5%jMW2mZ{>rKegT~pD^2UBva3Z})gtD|quxzg0%PAxbm+F2W6-lrJgT4-lYRf5N
z;=CSt_Jt6fsr-}Me$N8vul93`whj}w>ry}<ObEP4y;4Cx%%Oh5@5IafFNv6IBP(L!
zLJ<G+ZymS3IaFb}Q=KHiXtZ>0HER-tSJhm8Ph-rW@|2><viD~O@3{rbjzmEqE3mMS
zb(_K-nN5j7o5mRb)_X{G?-c|QW4E4miYXW=u3ZkX`pr1vEFTdcAP8SZkBkqco4`c0
z+;2Aj8OH8&+dH153WBfG*@n&~WAJtz*;HUO&#*NZdv@frAlz`b8Kndp1D>yRYOGsg
zI0)*#s`C;8i7vMBr$clQWJwL)%*p~Ll^)Ube?o9?X^V8|ZaVaIKi^%Iz6KN?i?ZhL
z69&)O$fv?1Mj-wvgLG1a4Js6-C+5Ek!*InrzH5h!pmg9lr7D>nI5y{*nw=5>gPHMe
z5{nT8@_Rk+p639OJDXfb>7pRR(ic*lZ3qodM-NX1aRGIQWWW^`G0+U7+&@M$gs>~W
zrQ3(Nq2rKh+T5TRe6_o4Q}NmWS{~{>ej3ON$F5&CC>;=o@7IrqWXBo+U!Ma%*8(3L
z4qu)NU6z0*mVVD9T?0^-NDB(MDgYn$1_((SN`X-N3$Mum8oWB<Z*yUb5Kzi)w)!PX
zLw%)OlUpGTtggDV#AFFWdyb5{<ctigd=zY0cYp>%_v_py&WgY$J6ZZjyd1b~2=|J$
zq(S<_=b1X0q7aqRkhD`@0djuXoN1JzLFA3R#)3Oy(D#$P`@@1F#P#i#Us<NY1{N`=
zg16#u#&Y6ZX_zuN&xJ9~eo>(*?|PMogd{{MogJk`s=$qym6+T~Do9nvU#kz4f?(4H
z?UO00KtvzT-m{vcVqDgk`%)TSx^3L>;0_7eH>OIi$kIT`DKkI7RTehAsfY;eRa@np
zZ25pA4HP4u-CjE+2eaiG>zYM0VB7VHS4C%O;KjD7wl7Tq4&}OVaBR{9?RBjW`oGa2
z=&4$d%SI&_j;}Q(a<pLKOkq96#Q?r=y8YxzR|bKu&b+f9$#BdyHkRYns#p3x+dUMo
z0@t*KdzNH%!1((1lU2cn(6+8w>UxYSSZ+ztO>@zOJ^k*7XzE6=Bj4(>STqT)C06`b
z987_aeV^{n%@{!jgZs*vC^h(EuOnO%rUx2Azu$cLN(c8yW3_t`>TtX`oI}w~A1ID6
z|8~$AsEX^FuY_oT*d6XU9u_JD1XvvF|7QZm9Nu2-zMAm!I@6)qoC=|o?9^60GYCj3
zQ8Hm@LBXe6PyTJDLbZ_bSB`_`;CJqZL_8lER72f(i|whv{rG8eZ<PfkM^|1}Xdpv0
ztAb^TC>2uX<n}xNvjpGH;-oY;ZFp{$(o*ZM52Y`@JA|*bhSWue<MpTwtg4P*?`_tD
z`o4VXyBG#&5a*4|xO5;^ynfLBmo9AeloCAR0-*j+tUXsn2a-kFg<{s~fVwg%uWOY%
z#_7I~s|9pm;0CRJ!iNl=%~GDx)=cnx6mjQsyEfRH)SsuX(}eP*5ijB*6AXs3NfX}M
zP~+Wi*eR?I>Be5H{k=@cO?Up__?Qe<Q$<7HU#P-*^XD)0*==A)*HYr6zgplYX!(Yj
zsSL$s|J?pbuI}yP%&T+}E%1+G1iybR4}67gH`2vyz>CmxOyt*uuj@QbD2>vfTr}g~
zzsQ8>Z$oj5ztkaqhx5jjH4-qvODa3~iV3^&f;}W#)F6o~;aGN|2&n%}P@B$O^~#_+
zTZ1$bunWx9Wo;FJ)@!du*LpDFVvl8~gNG`7JbJ8fj}15Y?W!#m;bKA=OGO4DuL9eG
z{0YqkHW+%22VdL+pl3&RUg%MR$9Ct;M<ZBZH)*M>&=cTR$KhQ!5){B?N1tfKrbULn
zkX*pSX$Gu&b~=)EgB;wPxw=zpWtPENu;=x#F#uUWroRIcBr3n1q|1PIU<WCyeTrfD
zCyp#1Wevsr8ax>w1zST-%biUB%@7`moR)uR1=lqD6M_y&z~$#=!6)>7F>a9`#?e<S
zAw)>TlhG;$QEP*9L|7&nW1l|l+_cUT#6^Paw%Uk7fN0Y?lkN$IrbFgVi3=7GKdY6u
zbx;`o2LJ&7{|uLhBb99&hH>n9?7cUKbB?{=pOq~uvLX=`q9pm!kcOy`A`)3yNo6bV
zQ%Qqlgs2cgMP_FB{0sN*dG71F3us3JB<{>&hn_ymnjA8Kqv9F158SyRlt1ROK*k*A
z7_eBztYHAfHfkahsvJP~oArrU%{*2qKK>;uQ6H#xZ#01=8^{c7zq%l}h<O>7W>x&q
zgJ|1{268S7u<eyT?Dk{{^HfXA!*=OGXU?T8S{-JHGnmi_KD~^cR{m(<Sgs3tBNlYq
z3{1e**Yl0z=qe`sH%9m)pDy$!z4pJ%#t6DTeEsO+I`+5wJY9Xf4m`AP7F9H7fbQJ0
z0X@(EVRGGJwcAVD;1{N)SyD<5)aigWvcNXhQ88$ldqf*N!@k){7}0~e{v`YLH#8vL
z@5OR+LJRV0D(C*J5a3jR<2?dD9ZVcA+W#d;3qBULjr0u?;K~bQ(MM4PI3D=XC+?>v
zsOmqQnI0v;$%uE3T2u7!@fnx<g-A^}+QBVSz)260PuJhyie!Y>Qbu{3n;P&n{kvzY
z4?WoUD5)y*GQ-xSzZKzz26RSI_Qti-gE0MS*0ql;;G}B5_(V<v&d(5%cKI?udF+Zv
zVJREr_**V&;#80;JpAr2CnF5(t6sWN$N?BZH@0pc75v@LUwr(X5&ju4zPa{_3uw3L
zd147vkXq|%nC)ePa&L`S!VKKt;2moJ`XL2wsH9##Hq8t-Z{GjLZNdX75}tMQz7%j2
zVT-g-V1<a2vO?+CdBNLtQ1}oZ1uV6rn5z@mfHl&CJ7tv*4rAZfoeRid!&lJf$ie}A
zOmAja;{>4d!a7S5i44E)J1Kmr;e=J9U`vyf5RmCr#0OrhLzbSutkNzbj2wB2KN%H<
zYS$F??g({wyEWi@(25%fLhk$1UyDM4@_#uFWOWd*;r`s>#{<qhKQq3)7YE_q^yni5
zb!bl;3J*%*1wYlK=QWFxKq*N(l|8El??-4i0tflv->sRfASr3k(BQHvSXP63(zgvd
zOa#C(wyKfWQwCCos)qAL)xqlMgll56AauHpmz*w;g}?v#+6n}y!-?Bf_EuiP@OdKh
zK-rcY=)Cps>i(b(b~9o<Av~h+#6$AmVu%9dGDLQ629QDj_TIMP2{8yM?hxr2Rs{aD
zXRS7QD6myVvS#a-fb6|L8*2QNfw?i8zxWyj&PXS(wMIz6a@4Ei9b+nx{oFyeT9yjF
zj;x3)UK$P#cREc5ksw$5Y>Ht&6-4h@xjoF0flj2dVl<=%0X1u?+oc*%+PqD&d?5?w
zw8?u8o0DN&JoT7CjwZ}`C(AtlDF<hYNmq0&De%nhYK#A4Ef~jiy_9$rAY=2rMR*Sd
zWW{R_efpsdUS8Y}p6Mw99j=G6EO*`+*|#xEPZutJ^BVo+rUX)}4^~^!sX)q*ViqXY
zgGlMQb^86v5P9$MW#vXH+&Lp5-=$;#5BF#;n!BrjqsKx?%OfgSUG;o+xWN$imOC9*
zS5pPrTTEByBB;<J3Immn#&F%kE@uCbDp+)mXESV2Al;K0{rqMEFJDU3{R|+%Q8Q)A
z4+jc#Ne0d~sR0xn?HhbvO@gnYv-uA`tHXP8L;LG*0I~&dNqQeiP?28~BUn!Y+Yj*<
zuAVZ5uNn4jXCIM31$|Llv{eD7^_CF#f2P3p!}V3S8wmvBu7}tZD?;7e5YM9kGYD|Y
zK2n5KA=vv(K-qUWn5^UU$S5;|ilzFn)MXWT;?Sf+;g^BP*Gx$dddxs`BH2ygpE8gp
zrxv9iNx*?XnU5<&W<X=<a$f7R63~-|ls038!J5>yJlbIf%M|XAxim${*NOTg^?(nk
z8_mX#ip{_|>foObS_-h0=YH+jZX!6I^L#@(YzE_bwU1m{<>1Sy?DwXd%<x8u?d@K1
zGf4Vgcs^^lEEEUSE{GhXgL@=-AhwvoLbfV1!)IyO&E%oZG{1(W2E1VYyx$a#j-JTh
z3X%fWf9-bhbn_UUs-sNP+D>i{M(?z4ibKRL*^ac&W0<(lT9wgtfTw>>*v&eKLVW@|
zhs;zLb_{+fdrAYiwzf%5ycB{6$MR$s-W*Jgw<$>W5C(&lmoKUA7XSfy!_dN^m$*mO
z*53706A0xKR!UaogJq-7<n@wHTs_IBw6@t821c)t0%UpM$jS1jgPEUjRZN(D_nZ;D
z`(k#e-<k-}%bmD)q8I-<=A`PXXat5n38U6J9FUw?`;AAY7uQSqOJWW*1oePCu5>CZ
zFi<N$xU_cTHDUY8&K4U$+R%W_<+DuiB~*7~D53+$m+B9d{?P~fUrVGQQ3j}f-Et-7
z)@xjMqw1o+kv{arq(39j5CDzu+TXKYi?5yL?2fvj2Wgou>5NLWaBjd8ZMH|^a=ZW9
zKAzNtEz0bGu-G;h*Ijbwac>PatJPyQVxbG>2b5XLJpW-^EefX_YFja*)14e0#X2w;
z6uDlpwT3CbNvyi%(S=>gC^50+(18caw}Q)PSFtJmg(D98`mxG+js&F`Z6M3<{r<&s
z8H+n`GQIH7H*7YO28T&4kgDD1WwgD7T~|J{YX0mywjJmDC)`U5JmgboQhqIB%_X<}
zzqgKKtzm|9X<eESaz)MHApauvVkr3Zz5YqePV9$vioGTr9|&|7j9tKDDS6se3%@Y;
zmc~;KZ5qIKGm9VRUBIN%uQNJ{|H1019_OkZG~nd+t2phUd5l=vtp28Q4oi>U|LbuN
z6>Ru<WEuPBv6|!Qy+XbV*x9*%!rH!6_(8a061+N(aaK%=JBcr0l0yM%lwTB}ck!;I
zm@i<&eS7X4TKtP8Hl}iA#!|pD?nFpW^#ZoJqMubVwt|%%8qE#lq<|rpf048OBBsig
zg)$b_Fv}FZF=;z8@LamIrpvN~rI1OQ?DGGxBso`G-E%v=U15Db<M$GFD@2%G_1qTr
z@nl*f=QA}pAjzvkyYv_1!^N!X6KH_Cx=~!aMS`fQZ_)9xE7*<G*8V<Yv|y^gEop5{
z0tv0%E&2bgVzXA4ugLik;JUcht*J~^U^;i}LBP%(4@^iphHcP8uBG>K+nfrR&+t7l
ztlYq&dVSryn;3!EIB2fxqyl@Jj>Jk|-^4z;2E=F<GJ`-heg1_yW#~Unj<|4t8ylv(
z8qiSB3i(vTAfu=ZkFU{}DlXH2vw+BfflYQ`dzPA>o2vvB7i4H+_30q&$gvL|F<fwA
z-MzO=S_vX8E+}f`5Fo_JU%pU)8%je~x`ZngA=L3fCA%C0cx1f0&5+6iI(07g^OlNm
zuE~FrrHc`S+=uLB)%hUhD4lZHF9k>}k53GHzzoNtRTih`_#tF;h|HR!05dD!yPlP?
z0=e|+lfbWnVE3)dAk|L+*rQE@8;95-acOes#-cEo6}<i`yVGC3x0FQvthiwNe(I{f
zz8GjhdxWjH0xWj^R101r?)Z+&LS~f&NJ-J{B}gd1*%Ky5^AGSqg|&E9$3rQQjH#IJ
z)>i<R8O#2&i@eYnt+ZcCLI(D)MY{AvDZu8L)@t@*e$X5f8h=(Q3n3%dT3+@jfXY8&
zf?Av)ME~)SzThMe5qo)UIDHf$rXw=@Osp_0?!M>oAGab{H{WaQ<y8W8{+J7@xuU>C
zo5GXwYlm;GyT-?9m0?wzCaCGRI2<$mtYq+61<pP?wUw==0!>uodsAd7Fc&r3E!|53
z&Nl;l&^=XXnY?>@_Ovwc+?7kK8Bhmnr-)>duNoBUM!r4xMFx`m!r6a>QGi48s;)-_
z8H_FOXt!I-fzR}>E0V!fFo_bca-F3>tRCmds2B2ZjA{9Pu#*OK|F}J9?XCg$e>eGi
zfg;SmPqyKd(uCj2ujJ8;CXhur->o()L2O;*3`d(LjOMC(+f-|V{nMW+dfF=Rk=nEG
zoTU~#QB}<@E7Aq$Gbf(>cSjYR&&$^NU(kX=cM`XAqdqufQ?3q-kRUYPzA)>Q7PuLv
z|5}?cgxX(2?=Ekvfw~OMs=K5X+!1Pj(IjR9PPft>&;L{hnk$O!`;KZtj0-{fy&M27
zfjHrPlMHEV!L@r2X#m|L!oq8kDTLGxP8ltdp~G>|B7=tt(mJ(VR53GXSGmzXK|_JY
zq1`ND)9T<kq=#C6n!yUqok*4@GHgg@D!jE;g@-O5%fzmm!==<~4_`=-VQ!VDv~j;8
z1o~Tsh0|LA=Z2-^Gm1K-3#RF|?w5t$y0<lKb`~&|($*QYN&?ZteEP!U5?~M^B<ps-
z0$jekG%B1^1;@;pl%Y^Tm@rf0w|2IG@aGkMQJ<7Sig5gJ)h!}i*wx$lLBs;4!}lHd
zK&J#o@g0=|ObqZ}!o);ht2vC_nf}%wqyWumxN|_|FUH)Wx<AFo96WM@f;MI3;7VRl
zOk~LiEXjpc>)Ggz4@AaZStrRrJWZai$jmsto=MO#^D~1k;;`l(kb-+N`-L=e|Ki`j
zYuT*!nF7OK7LD8Q#K6`3lais-7S5(V^C82*6k1k_x57aff_2L$>ecDcLeH)6?$-c}
zA={2eX86H1+U<*`FFi`UQJEQI3NS7v<5S+t1L5z+w7lOlpp8#OHVzjsXqDR*2wCBR
z^|or&J$a01%<QB6=rt2)yJOEWfU|<*YwyYt0uzets1*|`Fow5X@<^GE5$KPwFzN6y
zp~SlG^Sv*PV8CuX-oJqs23m8t9ey(+y@8zO$J2)3ugRBu?)e7R>c7tJbB_^8E;>yL
zNg2X=rt2Q`X$d=#f8*Uz6Gk*HCQJ$PF@U~aE}aa=87vjCva$>?pkTI$o3nZPpg17*
zHGS78R({Y<=xGcC+BOhl5Sh_~R)&!?yT5c|p2K@JuE{eXfqp}-J)j49abkwlp3Atp
zj+Ic$4|=q&mg6Rqr3*rLDi<gTop{nqTf>d#^ho~rVL|?N9Vk}j60fcq!kz8^ITSyp
zM~}izrFZ%1K$XZs&8s&*@Ds7!x7}XRqpYfHEo^Ptpb$rMW4rJ-&T7G3JiA1X2Csb>
zzi6lpv{<>O`=vSjdsVB@tQ7+yx}2fs+VSnep+To;wnhBwY{I|z=M1P}-uL-=RV`>M
zQIet!`-@9(JvXa$XGEd2rmC;XG=YQl6r(}S3T}J-{^hGXIlo(;CcRYO`Ddyd?ssR_
z@CSRR%{f<@P|xG{^U-x0AR!QNb3x)Ceo}kGEu4-8iLO?E8nxKr^^rXx;m%w52XW)O
z1Z`GCyY?xbxU(akwk5jw@1j9+YoiXnsceYNAU2FIoC;jFuJ%Hqv`EjmVV|`y2dZ1V
zdx?XU3U({LWX~Kr#FJ_4`Kf~wu@;V4E0j~9StaLN+&2OeKiKqD#fyl_ACNh2J5%6W
z?vac(G6VXX?mnt<kQ-%1dInf-kl}s5drWKwBf^9oyJwSm&~8o^c}qVsER2@dKNDm|
zCG&%7Gaq@;@AI!)H$SQai%wQt%TpF4eL^JWBZVJnF*($QI_~VmjQ^J2gtMWP(EZEy
zj|C7n8(Zp*+VA*z*a3n)2l_o~a#_|@2#uL2&HJ5FgWGuii+V>cWcl{uCsrX5WS91J
zWll*Acx)*O0?&zPAn@theOfVeWmwH&|1=36Z+X>pOmU+}&fZBL+!AQ&?z=;OUXx&3
zaxy`j#EbUUBY$~0DOA!R*QB<yGu(f1>m^>{L&`^$G}2t9QQkqI<7*{>ws&F0f7|>h
z@6SGl#oIE--D;V3V}S(qy@RwGX@aP~{JKK_j4T?xd4pPLrUoyUB!?fE3Zvaj)uDPG
z^2m*3`dFty4OT`NAdXWME%Th*bm~$-B0)c>I^OEQSs^Lew<?AP{(O)>;;Dq}DGXCb
z)yUxVHu;7ojU+N25lgQ4t&9q8(lUjK?C_@{TB0CT3jOVs@*Iv=MILKM8K_MZ*q@dk
z`|Xi5@|HjH!B|KQ?OVyub@`79v)_dxX$NG`z%@gnRe?GR#nUdm_0a&r!x`gita7M2
zD8j3Uoq{?y6y%otHQ}J~Yl4cYJmNUEc|E6&f?jD8i#)Dq0qps1dOJn|S=UO2$=Okn
zy7x^lvu<rTb476TPPrmFu;pH~gj3M~F3@qxNEcj$;(oJyQbOx9_X+--8i-lf_3O`<
zdZ4&Er#Jjd867+{d4E$~1KnQWkUQ*W08F<l+e4;Q(6vRgY&%g6B*CZHTgqYtzlP$L
zGh0+qf0Xo}pbjdE^??bOI%A04Qk)DwNkXpO72MA)sc2vRSD#293}mOLu0*eqkb!i!
z$)ocW6fYD1n-~pn@kP-eR|_@d$)b4p9UB>SO9#3&?{Mw0obs5hs~R#=JTF=DgoNUb
zWHdUr?-Z{7T3(gxPL5)4-oIc|L4mJ`-amGm0nsupPp5{2LdoCHXpt3Bf!gI&mTEJ2
zHIXDr$4WxB7VtSpR}Qsu{wiWwF$0$Vxx6F=RWx8NI^19)jd-3p-uWwJ4jdDw+3dJg
zP%*KxXP{9GP3*~2IV)-ojBDl!M%_y2Hcw?W+AW9<N=ro+)0%^3b&#9GF-6pV6D9?`
zc~F3ie8=vOW?;1U=!f^~@<@*D7=Oel8{+N#nbmW}49>3SKJ1H<Lmg?g(XD#)sFQf`
zbf$(Glx%ketxd@w<8cc^tC$TOlghGr)oBXF!chsG`=n9F3wu`bt2x|Wwm_IRcqgB8
zr3V`tB$1+t=y5vd5uEtauIlhAfck30Xn&^|s$Mae9+#}cB?FkYPG1Jt^?>H4Hk$~d
znPbllo@mEHG&H_Q2>=)tH2-K17eoyKd)clqe#06!11w|gFgPVXK6Z1P4@pS$#fU|W
zVF~eJ(bvOGAb65D@FmWJ7VZm6TZT_yG2Pt#t+$P#-(k>9tcr;A?6D>1kx4ASCdOj8
z#R!PjlYfuraUh?oH^@}6Da?-7>#Nq9A&|4pMl+0A(b39Rxe`Yvv4p2m{@*nX!7*p3
zsX~(pl@90cvS6LSDiS1QyQ2)iE93N+cX9Mc@@Z!|QXR*R&<s)sn)G3#LXjp^fDSR8
zDwiH!`HuBotjTX+)`v8ft*(=^+j!D<WB=!3!<Z*;4m-tL4=M~7x07}M;eEvTf&E;A
z*cZ1xj@2i+z!OnX;<UDkvm7Gq+co_O%TmuO|H!2a*Q(^ge3X}Q_Qm14^6Zb;_otF-
zry_Nrp5%3G;MpR6Z&J<ECiyjXRK{?wsb3p(`(B6VmCoY?X`fYv_&V&@t;$=0X4(+f
zQtp%8K8yRX+d7t#)376Q<8Li?_|>>}j+*gl8Xr&8GD*Btj`MR7x;5mqz{n=Fv)ua^
zZX|f(UsEKGZ$8Q7X35rsaunMB$8`#4)rp_kuzHKHd`>-8#IFg@LbijM9#7yB_m#x2
zI&|U%9g18(Z)(8d#^MICkRN#HzK27p{-5y4vp@c;<JW-d*)xIY=s5mpGE=1_=riuC
zw6|(Giwd=&jQ{oHWBB_Jz6JGzU-5DO?#%15REX5M`8M8p3||&sXW`Wu!B3w(J{Izb
z0;5`%$C)I@@aVd@2Mng8I8&WqUxWz-Q2R<*z3do%gOOGx&~qHmc0LrOaGwmj=Y*$5
zy~pqa*<<E?2@|+MUYhgiHg$Ly)XCq_GKN28{Hm+>ZVK1=^`PkGh8p<ye;G6P8OL=t
zW7G0TzwxbPt21AyYB2SIJ;+u12R<HLVsfZv249NFV5$fsf!dpW9LISl@aA*R>&3O_
z@EEqAO=6E!;hY?kz=*~qu7Ce9J=e~CvTf2Eg_l);`PisM{JAOokM9PvxxpgtcRp4B
zrkM)3GWK##ZvMp6F3jXrPcPx4bN}(5Nmquk5_uNv;cuKfEJCcbWf><6{7U%rTL})W
z4Q2bL&fwL9g9c5ltN1xM{`a=E5+Gi^iN=SsxXuyVxrvo^e2mLW<U^Sv%;@Eh8WQGl
zm+t7_w|qD88pm3l%RGwEBE-B*by~prE;YARY;NNod89|fXBA*{n0qrGE#hq<X(#QE
z(xN2o{`r3k^5DPq=$VVhU)(fH-t!TGfSRqDT6sg|K~X)|MOA18FPZtX*n`s}iX)5g
z;oovVaWnf#U|Pe!Bs~%Q`G665he_`Dij;#q;<SXd(gyyDLwL^_#EkA+oT~QNl7&wv
z3s;8EZQ}EZ7AjXc+0gTP+PZ}_Ss0YL$tA`{gGAKLw!$+wkO;-*@-SHzB<-B}<WJI~
zky%fXvlJp)iE{h=uU7{C1v`_vnFvT`B$)iHo*T`+ARY0!Bm)TrDx`WukA$ldvs!|A
z5!<~12?sM7(7c|t-c-bhmWrg`N|^GaB)+tcgKRR8$j{)<+r*6YB9+g_SPP=4`P~|s
zW72Sg?PIJt0~;Ej7G29YFN_ZEar&k6K^mI!4Bv|;a-g2g7-7pfQG~ucd(GV@4Nthg
zX!pqzQS$ujQ%ac<D5!B;>Eehqj5m*d6Dj3J>bJUs9h;@l#Me*cRBjoVY4f|t<jjj`
ztczlFon%mP*{zzn02w%LyblK{e)J^e$M08ka%eod`4xFk24pWNw%G^^qP>qzUmN$y
zqZCTXTyvZ(OjkuF`<n<OOZ(2@jdzMjZhy+ywwoNZw<UNxq>3V+267+cS7l^#(Kx~~
zL>?BMgeh{o5=dc}u5}qR33&^SUB!_CTzWPey1riuN&HR-TC`C|mrIhntwWTcq{Yfp
zt4kVP_MCo{Vn;#$qCYP&AKKa3X~m<(dt{Lr$AC1;F)EtCe8Rr9li*3<MgGKTIrLu@
z%SFEw4dkj8?G}5N3<lm;-Lq2_P-dH!^0B*`D5`BJQtT)d)`ZVYjG8E+d&k}d(OlKq
z@mN%1W2*_4G`)W!r<IWmI`wnLRvU?B#7&d;X@hOjiKDhDs;DT^BVzocHj*opW<0&K
zmuuJcZiY#yA^sNT!C)30v?tH7!9l<PbPV|JC?~3;>RA>~zn|Ku^zOlP&G(Jq!kPEk
z)i21%i@NK_YM?gq9CsSs)Wm?h_K9|~4+T}`T%swC)<RQD%aJ*Q02#ku6g{q@pxA^v
z)DM!HNdHlAQ9XkhsB?-wJ=0G?UB>DjO^2xHxIOQK)12mTV-H`*YC8pK3k4QWyjMpW
zcTD}7ewstjK4NXu4GPjo0Ff{^74$84b-&FG3y{1(w*4weK{fROOEX3C=#!P={rPnZ
zNHh%}G$D}DCvR`dkYy>9{pN+zTaqO>oezs{j#5LrQtrO2n-xMM2k0g{lq_LV!M3PA
zUlsXNt|iJ85z%PchXRge3po5Eb3Hjn8MV@_EH5O|p)|tF=e{`>@Qu;PP#{_njUF6w
zF%O%>FX+d6P?ap;R<{lz+DIOStL#fV@@^Cx4}5y}dagONKNJmB+m=BF86~ehg4eM-
zZkH^5+04PMiQ!`Mdnp8TB7JMU1X$JQ^JG0{23lfehsT}7QQExd+u={lpsn4+7WLT_
zcxU8SGC>$=KGt%07|9Om@77N<nVG`8wYp+bI6q3(6N(_uaKh*fU*`2H0QQgv)`H);
zQGMeH!2weuw6r|fo2&q!+2!GwqQikw%a!d8)exbwJ+|WZE)1-G3ixdsFrmN7VTLYK
zMBpNa^`<zQz;J53yiz+YGMG=-{W?R0<gTkq*8+_pEfM8}yjjELKfF}!=_Nv^h1Q+=
z%SKS3tu!98Fo&-{e>Oi|L4@<^Yes@~hETZX6%oreijRZSAA>j|kUYMo7tR|1-%~%{
z!j@*7jws!C$B_tf&OcrS>lnZYr+{C1a~GDG$8||akq9SB6S&VN=)=n!25tAO#xe7Y
z)$d){h`^+C{e=7%JvfCTW3OHPgQa#%<eu5&0w*tub+x`8TsR=t>o&EBadvx{%oB(p
z;n<y<pQ{VMord2lO08n+m*dJi#E5X+S26MeyDs>cO8GTxZD5jhQHIZLi4cFtSe0;2
z2b5`xOJAmMW1=R@POaC8P`fLC*N-)A*nZhiG897#dK2{=)jx^Q6LF4<E>;_|6<-*y
za1+3{yxLI7hZ~kpdUadSXoJ&i62<5)J=n?wvR6)UgOlJ~Tv@UfEbEqV)QdAhCc!o0
zO(G9$7Z%|lsRfEj>HX{3OtAc2{{FHhFZj-FWXRWR0<#i1P(h3Ze!XIMZ4u>zIUY~{
z%O08l3N_*D`K%!IW@h*$8$WDf()vZ48sNcmtbbUG9S)+coa+JtP%z%p`>{*|Sg%~l
zS?J|}rJB=GZAOA%*;Su?*iQp|r+ZXbuW~^eIiNuDtPlw3tuoArYQXAL(i^`rA_$!F
zzpXkX3<D)3Y<z?YL!pKR^>?|!+{WYF881=Lr6GP@s-(i0Fe`U{4iAv{I07#(i9vjp
z!`-i!s9-d@b~L4u7veNKMB*zX;GKyHN7NxIgwYSJ^>y+ApFzMMvZ)jhLk7P+@}NSj
z>}G5}g8)3%?K{|OAPwe+1q$xFP{CD}cyr!C5MmGACqCKXmdk;$x|7~ixOf`Vx>_a#
zff6IOe>`O2e*gdg|Njh^XCRer9LBS^?3qo+ImdCFW0vt;hbU2rB27`Lj7oV`LZl(0
zK`PRsG7_bf^*qv$QASaelm>-lkMQ>O{&0V||M&m;{VrSDhPv>*9OUgWQ|(n(!=mk*
zvK<cSLyo6#d2Tuf%)L$%#C3JBqqlc-Wg6i4tJmyXEgTf&J>B47tAQz_u@@WO&Brrs
zoi<XR3$8xN;Ph(Z^l)oKw2UFlG!8g6ALrs?sbyNTr#37bR8K5+relp>L8c?0DeU)1
zzkf>TfbW*NQE>zV%-EL!%g>sEk2~`&gsqF_L$^EHZZW}ixv1N2Z3frySpT1TdI(!L
z$|<9a@Oj;Vpuib3{N#jt+*8ws!f%22y%Y=UR6lb1-<zXh@<#U)83VL<*BY(JFvdOB
z>o*DY7AWjIv-}AEd>qcmc2Hi)Mm}+)_hhRjat%J2y#6&G!L~-{LSD0RXKCPqc_UWv
zD6f|msit9Y(ox<*)C9|NS4+C;E`(|7*7>ZnhA_U^Qz0&Ff}?34q({B2ad3RAu#6)e
zd7DcQEi7Y0-Ry<NyA&I=sakK2X{TfMw9*Sj4K}`*##udiWs92)c`cXS7>IsaU((Mq
z#%+UKgYSRsa6Vpqh2&KRy5F@H9sgqlKEv1=9ZBE=yCQkza|Zb4X6|zgW@6{PEz{=`
zfRl~7XQe6`IR4=1+&TGlI9#YVTKg9`C6%y)ox}iJ_~f#K<unM5IVt9?;URrb;Zr#d
z18PFAbmDUj;NeAjUAV%-K)?&yk=t~1%48SGozTOHx}YYl1|FjKE!dJdZU}z+R|y||
zb>JhgVf%ugJg~<KUOh1|MCpSM4Q45t=%bvvD*Ac2|KRaw8FL!e>gDzeTu?)I&>Hi_
zpLi(xDe}$RXg)He1b4=LQ9^V#t#P=Vhvwy-m4&hfP}0dri$5Zd@{OBs5vO>NEz;XV
z|D}f!i5)!aSQ(U(p}CbS{++){CQnu9;`*<AP0vONRC{Mni;MD5@!R09=@}i|EYV3b
z+$;jSsI6BHKLX?}J0{-xYh&x<V)dg10*L!qALir-IH~50O(bZ7ccw&B^8Oq=INn}k
zDh~L#7Gw|k%)?4|MVnRk{t{D`_Q$SnAkeLBl<?Y34T70B+s*YRh*$Zvllhr;;1;^n
z1^cK#pjPn`FJ+X7V-BZ9{<1}_OWlu%vq~`T=3DvU+b|Jn;P>O0sV!&)_b;S%E1<0B
zaQ>O$A;N}{tkxc3gVO2>j~G9BoOje;({*Eru=<@KfLd!Xn$43q0&+;p4Of5seu(&G
zT*9-RXAM2)p$>%?GT3+7Atx?snD7qt-)ppIA(m$5tz5BwE(Y2=kGjQ-5XVMpA34@6
zfZY+JczUoDKDO*q_H7y^wtG(IXVVry?ZuAt8<Yh0I~=oR`i&Ehmxi-;#93j_&^pIJ
zH*vf<7fpO;OcIkeWxDadEwO7bvr%153_B<3j;^|YiB$tReKKn;!Kf{x+|@)O@OIW@
z$)Xv8yG$`*qS^vuKV|+jE)zlal=7Tbr#X<$Wc+lnv4G|78uqC|Va#ZIEIJg)hXsQ#
z&ko!-M__b=*kgNPEIrj>C-RaXcCUwq_)W~=o9&+WW=06Kk3EM(XoC2aSGFmpzznI<
zdy@*fgkU@skaPB;5cW^?bRRS~!%`V~Qpj&1$f(AC;^>N?XT7B9Oob_wD|%;AwS{3}
z%^7HXB8udTi<jsxGsQ%J6Kgb780UryT^>e=<0M~WjASPli@ehwJnk39+f{=<gH}u8
zEYl*TBaDj|z0bP0oD{*~-6fSTU8V6eDY&FofeWFfmWS(?h@x53RcfcH44T<X6=jM!
z*x=}0s>%?<*QF!sTRdc;;P}XKcq0e<V?2k-jKz^lJ*pHuA%{J;)-QN1$-$^k*X6xl
z5|H^OKuI>s!*wLzTC~yxHfz&v*kwt=kXc{jXrYLH1C=GJhfL5j7509Esx(;Kyq1Ia
zm5|MQeff-?3H0KfJe?oR#oSvN=E1Hi@cgcRMn%j7iEhm6tIB1teN$Xx9lsjVE@^3f
ze#C~ar%PMb16i!s{PI}iojOMQ=A0M~VI%%USYP~8ISk%b*1l7(0j;5Jp}XwaaJg?j
zGxJj(K`*mk?D?vNGs<Z>8FV&&p7@#ehpvdEF9!xfrFC$IU?t6CvT^qbsk$ge2|rf{
z=|@`Yf_qXq<c%{MWm(~kMZ?P2p(~#Ge!m_z9=s|f5XZ)81M%l|(W(&AF42g8rVp$8
zPjk7wY}|O?r&&!`$8GmknSQPLxLN+Y>w>ij9*r1C9qgTl2+>P3r;pO${q5kMIjJV-
z{Vw%^`BD@8=l<N695O^w{}Hiu;v77-7s<5Vqz(Tc^&M?~4E!u_3(8LApyEXNM(M3O
zc*)<spWVcS?GoqjPr*g$fZN`HeY!ZedcdO1f(19<y>G2VOyQUHbV?~+4=?_^H^(y0
z7}E#4)8u+hv6s8rf_76MEc+c?3zCh^Yd-J3{o4%Jc9w94D-A&Fy1Tq;n+ZIGw<dVY
zS|E1)e=>91<|8KR(WQ}Q6J)GPTI{;Q64!HYlq~9@fg!%d;EOf~n|ec!b8cGU;+8_b
zf*wPN>NaQjFXrH&mtByu>_T8b{Yl3gI*#9*9F(x<Ksh_wz$?xg-z~f>B{LcDxGrjZ
z^xr=_J=)NiEo_TYp7O@sZcJpokYDPUX@amlZUaG4b{L7!7rfTY#FZ8FEyMpfnAmXt
zsdf*6kW-esr)frLcr0@L_yJ?Yl#Q4jNe7IoleN{HjnFRhBvB&H2#a3J?%vPkp)^jk
zU(3u0^UpDUPb_CZ#dgOP;d?xE<&8g=?Ph|n+OzEWM;aQeo73u)?NMzfmf63RiQ@{F
z#RHZa;8kp?%e~F^kQQ*4$thr9ujcjohdKW^P&XbRlw=RW_H)5h9UVrsEsHM8Ya=_b
zO=Z_rdq^E#V<%Z@h?|W%|LtX~quL=t>v^g@)RHevizm~-If3TT1SObuF~q9F?6GsX
zgwW$<^YOB{>%Y`ha#(gt>H9MWdla^WxsHwKBWFToM+Z|1rv!F9UOD@ZoBisVzR7yH
zyD>E2%^hJJ+5Ga}=p7!s8@ONQnCQa%`-;d9#(bzr7G2Hn!9$J2T3@Nx+6dpzr71X1
z5IrJ+2|j;-(uNi1GW#@9$d_@=Yw`~ve55!eE*^Ni$}7^wYaW!;{411Cb`!$YS_dQa
zfV1vRR!N^#p}bf6jmYOu#G!%bO{t*-oX($0-+x9KS5AG%t~}99T%LNifylB$q@T@F
z)18WVH+4bx)cNN`Pg8nuMyoB@7earW4w8q9346Un+hc-o8qIt!Wee})$DGX5WuX~T
zd9*#dkZ|+bs+_mP1`c8;vakM{iz|vHEcd{B#P*<V`Y|W0k*M=q`}UwDDhyi|YT1_%
z3ZzATQvE`t6<lt1UMh|b0b}pZx+>!0j@io3$_pX)A~*ebzX%c&N<V*3t|P`b-%t$n
zUx2^td!b!zLJ*$b5D|8;nOIwYZ&I$z3R|{o7+(?>gz_3|(GvUjM8@c!kb8<&xMHeT
z(zKr+H>Mj*e}#V{HVb-*>+Q3|BQ@boRoZ-@?YUx9DA+~(vM>?0ZMDDx^EYPcQ?o>t
zUbAy~z;|LzY@AP<oduL-j@vPnXNV!6j4tWE9>O@yt-m$L94CbeHmD^0CGy|?r%xU2
zBVIS37*|v`$3nBKeUt7}M3FY3SaoTDsC&kY+@EBIxB!JQ!>yCV*Gm<7no)y<!e=+f
zA0lSheoOazS=j^;nIdNOY|k(;aWT7PS*$6>Ql8#CziNU=$!F0PhmI1?pPE9`1WmD~
zB0AXHaDo_`^fY*zFir$5>ej6~!3AyJOZb~j5Tg2Z5%jW2Lfq@-ol+StG&=@F+e0Ua
zi2S`}VItGS4b**#`sec+wI{}-e@+l{ZZXm~@0}$+DE@gOZNvflfZM${rzZ)Ola;3X
z`S~y^yiO>PG{F@st?U8+DIzSRe9lWBems|0AAQx+1mSmYPM_KJml$cP2~24HrzXMH
zEumd(9R9vpO8WLRp)S-f@o9$;UUf~nU(;bDa=F**<#Mxx)`0$PIdu^fTdI=N{>J#I
z-*n`M*Bs~t&|?ewMUh|ld~NGP7A8EzGF^Cl@NkLB3hx%j?x!n#lB8KM6F=8**@++i
zb2-H!l2RD>){%T=ml5pmg!KgO5P)3kJO0Lvb75b&CNiUqiIZ1U+T(KtK@AlT2oK6Y
zs7HDAqJO#O;6j$m%oT=r)P>)HZgObr?5f_~$iRG+s~H~WMKJ08VVPvTJd9_v3OJh>
z&|8|2-s>QSl)_@=fPZ_V$;fzIGf79HzHd)~ngsgfQx~f<l`$sMpkI+iN1cVVZoY;T
z)M_8c<jbnUzHB<BWiuTKHnB_e+~$J+{DFI!+Uk(0-SU;gp+iB--mbJw1_RbB#aFG>
zz&Uu6u1a*+==&O-Gn7OB!Gfx4N(*7H6KbUu=;)GMT)+05JO+K1JJ&OGAnm1^-om0I
zPI6Aki+PF=s?mDYmY|Dm=6Z>-{&Z|EsdU@(TnR~4P0LRT>%%r6L*~dcIu<9Ho_cgf
z1=|&!#LQC-Q0z(C*0?g@AKEUM9i@f_{`YIw+0r0+nb*<I&xBy%@=uMY=OKCZ?Cx!&
zhPbR|{r7$!6HNhUY80Po;?mpKwwo&$a29%_pDoWqZuV^Uqf^>Y=C59mn`DG*XOF~M
zgd5|k{_&pnY8?m|9^lXMHO6Sfs^V3OCJ?HRVCu{1A$?O1qf*HP5??z-TI4yH-=;s(
zu}vQx?+VTj{xLy9@WhH$)?8RjT|e$tWdQAkmZs6A9Gs_JR^mTpieT-;CuekNnBt|_
zweRHO!HZ`;X`<$+d7K!0Akq+mDbc=1N4a=fes^_ut_5~@Dpg*1O~)BKozTQprjWAN
ztX&jhh4gZ3(nE>~A>Z*}n{ZQ9Ec`ReTeT1$6x5P5jE%5ky0)`_vnd+(KXi&%Y=as7
zYN-wy3q#7x`v&}`_@q0O{KC!-{V%UPI6T0@;Z&Us@oTuqQ}_Gftq7b*a_4158l&ar
z@xV7*Ip}?L(!_ZhFg+wzwz<X_^_|O<d2AD;i`Eu?eZ_-9%%s>%y)o3J<a3!3EEK2o
zs@;vTN8bAdil>el!$s+Gc)vXZSv9Xh9?3Z%>4{UT^Dqmw&8hmq4fElbUt7xwcfd<s
z?$}K=7NV8udPkS&;jr7srzIs0=xS*lmYidRi|&!Dx-M#A{E|oAx+VuiEsgS8d53|8
zr_ZO>jjBL8`+GO{nFH=$wvw1Oq9c>OQs{Gw9F|6F4RxnF;BAqfT;xd_*ms;m@*jvJ
z&oj47%FO{84N6KrjRugjAo)7zd?+#NpdA>p$G$TD=xdVtII?u3WIKJ35LA)8{^Gbj
z{G6^Ta-DQhw04Vr`Ics4^<uBWX<2)me{+O;<(M|gI^@s0FKQ)O4R!NYo##Q0!7h87
zt%0L{iVthddr4s^3eZ$|c=skdSu#isYa4C`wtEbd`K`CF&0GY6_Dx#UZ&b$3p<c1Z
z`f+l`YFzlX2Jmak_{G(+3SeB4?#*ePBHzfgrROa9$J6Y{Ybl+wkTqFBikD22DMz;+
zjND*{FoRYWtw$R6>ovC=e=tKzuE@G~;-D?ownZLIj}k}N4cpiJ{Ig_UX=ab`RU5p_
z$qzG*7Dn%~9R12yGvpE<>DkZq*0`78IQz7lAF)5S*^b%IkS!OA&c70{hEm{<IzyjX
z;(+=?$xD&bWd0S$XIpp+@p8qALuywih`h4x9OtyZWJPmkxXG~vu%3~j0%L}W#pPbE
zHg~4TU$-(=lr>r*rZ~a1{`YU<UHgaq`cEgxK3Nl`3wl=YSwrjm{^bV|8+}z|^4A18
zBe>(}`fy7$^=wP{Omz}Y?MJ2WvnELK`oN~VcNW-k)<-s_{SEQ(;)VHNlE%rk144q9
z))t^{^A%~@RuOXV%vRbdkCRH?aZ&fLo8z#8WD@J@0dj+Z(nrM?W2BdnGwZ9gIW#VH
zG<!aILLPcs5tn~$jJ)t}Fyvg683qyt1AN09$smhdhm_l6<o>YZ%yYx0D4BgwoZ9}5
zv_7lw?9+!avM4*Xs5HnFhkg%p1~Na9%sDzdUt*kO-%QZ>^^*&;R)K-asV^kw`aJ3O
zhH*0QePyIzAQw}oiy}P6zma2eo=Yj6ognjG4<GnFz(Mu5e?j`ToBZ$Q`}Jb6ljP&P
z#a*cfIQTALb8Gy{FY>Rd;+5W8Q>4UWjWc~h9I*BrQ2OB8PloLom2jQ?OXgJyt^Ar|
z0=tJVZiOcgkbh(cxhe@WBvIx&XCK`Jtp+3FCNqD?puVPS-iC9iT?>j%bE4U(N-1|*
zw|9uVJD5Yv(D*1;tIgEShsG$`7m}ViK1?Pa6=&RW;-}JMNS9SZEW9`Plb?2WlvGT&
zBR3xtpgeL1Tvl4Lu)XEQ_iD#+l7D^U1HT?YYE9k6g;g;|SS9{fyj*FLyqE7dzBELb
z66d9Ncf4i7N?uG>Tl_Ei;r1C_0ew;Gz+WAgUnWe1WL(xI^=HVc`?@i&_{6Ec>*^_s
zk{Ni#Ecj7pK8NbvMc=e!t|T@6WN+W5ISgbdN;1aw@KIkncUo+7lcsho&uDucN(WA=
z`(J;_PqposEG*q3LzRayqnt+!(R92&p^OluT)dnXpCM%__e(pT<wO}`p<hM#=2js}
zS0H$ZZ7ol|zUy_7PstE}b*Pb#=R_!Lmm7yI+Z3o6&lM|@AJeceG+(T6zZf;F9pvqI
zMTsJ>oL%`VfChV`?vVI63Ci{FbV%eW70NB!-{6BW4LW5j?Obc5s9?56_sUypl#A1!
z=P80Td=t(1en?A((z!l#E8+J%YWc|;+x*}2!N}4RX%Cg9g852ueY+MV|ND|AXJ|f}
z=&9D8Kjo<DYCX#p;yRQ_`uO&IIT}uU^P8B8RG|Fn78^nj>QW6mHS3qS(~wf2>`Iy|
zQM(s;XYdK>Q)#Pt?<*hDu-q$qrH_mX<vseFjL$ZpIQ(}Sqa6)#CG2LOi;Nm2=`tH$
zvyDatY&^q%L68nn>2j+Oi+R+K>ldE6E~HZ~vL}r1{_~K~I;o{{M>MIId1}ElZ6<Z(
zwW|MsF%$0}FJY7))TXv9&fRoTjz#H>_&C(xHp0_<slJcTbSRasj@Vo=HudClgLn2W
zW2E+KpJeFhQ7<$uRPT&1q4I1y-B^w$7)%}r=!w&(_z#Mzt_$Q)v@H?sHc=dukL|i<
z_1A#n%{Jy7aOP5VMINE#4=$E1d0YG?ghuUN5pdF2!ju|}?C^dUX$G5gzP-c`L(2MS
zYvH4trqn|<`FRKJEx_5J`<1?uL7fX){$IX~86`^Hk8faEVLSPyROuFzD(X_%{>;{l
zazDCG^|{qT99S&4X?2GYWhwi~=98WoRdHiW^m8v8Twp!3Jo1Z0-3foAxTMsSIy)GR
zu5dfd*;nGitum&Lo%MY%J<Fx!w|{?H>I|eBM}(BDWm7{dx$mD2aww&-1od1;9s(nJ
zjCHcv)NMNGH5W~&0yphv7KZjv^{`Q%yv3%T%WczR@flMuXUodoblZcr=H~f%tJsvG
zuhYfwU<P$#-$+B}VF&c5c4bKC8&g|Eyo?`Sn@{am53_ddb-*<HfaBZ}7Nr|Q+r6+#
zm+CS<yl9ZV2&aSFUzJB0Q4?p*G))g`Q1y-$UPr7KVOO{0hCneU^}H%i-KtiJqFw~6
z$QmqyThhG_Yd<=*a4W~^7f*(&PMn*t_TT-3sgi`jB^sr#;ku)5K#;n6H?CsN1qXat
z8J{FuYCxs@HN3-_9wBeM%Rcea*Z~Kn)@iFX=}}nEwX8exmV8om&R@LP9wS~=ozp!!
z)YcCEZC#vBg7f5Isgs305)LQ&ypqtSJomngxcy*|aLv+}m{Z6@YICQ<<%oIIp(?lp
z)J+mD596QbGkEaydUJbFMwOC{qi6lvFb4t`EZ??d0X63n-5lR5QtK-Y%@f|kk7tsd
zSDE^N#FEqht!|g2=oe!8ifaYHULAdB?=k{`r#3n6Qk9_u?zpHnr3iwhwarI+y&bln
z+1*=7lc0R+I(_8_1#w7=Xn(%X7C+holi!>brc8N}3nXR)v4EBK$Sc(bW5(=4?Bb^u
z?YQ#UyGaneXFB}$S6QRzi|<vbplLFQv38!p5kbURuX~g^z7U7&G?P@HjFRpiF%6m8
zf+#VqiFLAA2!B1lSl#*ovdCx?<3X_iw%a?XKMP*~9@i^CZSp&LCof#g&s_jdzlHQC
zR$C!9)AUy*e>?e0>2OitI6rQ7uzzdLvqHw2@Xn75o|2>KD-DY7^26eNh|p}PB?=OZ
z%f!d;6GhQ!Zr2a-BiwggUiDiG9QN5!cq+b$FiZV074FNA#MME2^#AcU&)xLmf6qFI
zR+Doc*?#=^@HOXSb(T3UO@EoK8Td+=PJDmxCz>A)QYv}}6wN_<R#e(8`jhbA9c6i^
z;-7a2zo-^CX@*;oJ8!B#=_gv=UiIu#6F|1omHj*cGc5hDr>E}1A0q$aM)QnR0eJ6-
z;a7+@g;UY|w$KMd#H6`U;x%(YY&^avW2=BE(7YyJoEjlE9ZL%SIwFXzPELCaPjYc^
z<HO9))EM#T#DCXzzZb&u{Q;{y6}hl$xv`~;oFLAv>5M)2Ss0Duxt|6yInX9=to~Fr
zMLZ4k>I;}FidaiV5#It1L`J2~7`~Y%M5huGd$))|rNT`#t<eNqFI^X%KQ>F4bltP>
z?h?mm4>I&!unA6*x1Cc|`5;(4xb0k`B&46;km!^#L8PKcgUMoksB1_11o=z<%lB&c
z7rWS)KDRYz_i+JqSv#a(wUU9m;p1hF)y5F-n+e|VQ4lA;Z5BW4C5s(zb+5HDjWPT_
zYn7m@Fmml(&sv?8L(t!<2qKMzBj$su5iKInF!nOt{8Ju@>#u40E3@FKJ$a}<N(|FC
zt&0aYE5a`Ahs5@4Mv&dxJa*be0%G}_j((d|f>Xm<^Ro+$(07Zq@ve;&Zr#l`wklRZ
zuHVKld%rT_vpJwG({nC#Ey&tW7t}DCvSZtqt4!25(3%2X$sqVmro#Pe^Uz<++#?Xe
z#DWrw1}`x=)IYTDTHdS)$z^5vo@<%V4ca<XwLu<N6x>%FNYzI2?8=4YdL|maefaBI
zuYj2~Iw9F@I`AR-v=a_75w5Rwb+@+?>|6`in3(E8r})L2$Z{rfzWbazD4>FEEj|yT
zuj=EgU+`qTo)Mxh`YQz1sUk49mglQ8A72>pe!4|QFj5Q^_*kTlsIEZchxchP$vM0}
zelH7|VhT-f%QWy>ZS?VyRdfu8g%xe{|M&hhwYqCvTF{f?yOTJ>z|7TsW>zU|Xk{_K
z)yeB%dgn4r|2!iI-P!-iJlX_qf~8u+_PQut^h5gdYGW*ag4`Kz4!mxM?b46XL;Gpz
zyOMv{h$+-f<MZM|`PRE(KT;oM_r8q{Ju*Rm_i5XN1Ey&5?|oP$G#@b%lgtJG`r7rw
z50l<jnxW=he73U-4Se(8RYr_(u;s&d*EC}bxTyzHKjIAGymmcp<7O^GdGjt+lv#o|
zo|ky6gpR{ig64i#xwyB~W?uic1!&<+jL_dQP**aMn3cnYYmkuoZUbvnW>w0WH!?BN
zS+P0!02iLgPs?=rZ6GkQF8p<t5eEN+c-Dz>Vf^*PnTjGiv?;kvZC}d5z|YGCot_+w
zws`(1HwRP}hdppFW<f+)+y2kie|u7GV?N2pL#A=M-Nx@MOpm!FHiZ4_k;z_L3?K2p
zHRqlVZf3#PtLS_DQzmF}@y<MVd-S~23;%ZLUw^zX*!-i$5K9>EM+<80@%2B0YwcY|
z_@ZHQZTl?)c)z{ztxU%O>I)|+6-gufd7d|ZCrlSrD+&wldN`n`HYvSsiUHl7^F;67
z)kMXOWl2wc9q=t&hLA6%V`StlFP&0>+H@|jZKVUYWf@s|c^KkJ%aO|PCGzk%dinmW
zz5~{~hm_oUH6Jq82}`1@Bq1=A82qQx9^u#O*C|^XAXhBekZvJ}AhkcIE}yi=ltzJp
z>3Kc8vldQ@{W3u)?OHriKHnZ%=Gm*#hIOF&R&dwJf?q_-k*~$4AM;QVe{eVDt&Q$x
zf0MJP8i<&)fA-#W;vq^;xHvXd1EX%AKb769C6|07R`WFii_=zZXw6VV(kHz+^j%*_
z|HAXV)LLNNV=y(gK^b2}tmDa=pQLwAzO_azfg85{x~?2WJQ47^)@naM=Jd<lm;3f_
zjydjw{Z(>cwcmGfmmVblc|v`opdBojx`$)pWH9g1*GuKIgJg1Pu``Ql3#V#1_Avn|
zFbDEudlnCohfl@m9$RCB&)teMl&2VMjz#tVCo@ET8IY*!Pq4=S00030{|uLRIMr_$
z#zR)fvG?ANeU4*0w`8Q{CoLtr%t(p`86}ZXQdEjcic~~KalVyGl3gSuJ3CpG@$>Kd
z$Me3|^*+yYe?A`<KbN27V1sYV%>td%(~Q=iH*&3OjB)H(;D50KEMS-U=5{Cd7h`6^
zJ9OJRV~qSzUU_|F4Gufxdw+U3#dy|KKl9wd2&Ro69J7rU>9nfh;X1WRMnvPyO7(0*
zgr7F`G?84Or*n?(m7Ex3h<-IFb(}Ro)nM(GjS(~S>dM3K{*;U`eBN_+^=&i2%iabF
z&K<w#(qA^5H@-B?(1<NWVgU_$<72E%lH+vK1h0A3gh9qzrM6aXJ{nvFXn)2w4buf9
zNJL<MKci1BH$>@#K6dh+^i>q?rwgX0NcYb5GHx#xg=Gy;aZCQihTfw+^fw<gWfX&c
zFjO8;`L^z&qPNh$FZOB&o$KeQ2~D(z!4qy4zfwy<$IUajGLoO^PJ4DVHFR|`r1cV0
zQY<OB)|>ZZ$G%4T5lM@A@4;`3O>;bFI~jTiKGEa*<7f?i`7O(T5;h%-tsC9DU(@w)
za&+Vz+2R#FOHOh@W3ip_?D_L2N^f)##3a`@^0S1VH*{{|4pTeht?^0SpPO{iV>~sS
z_ArNDlJkNRx1)`*{yjC|cZ&{4jn-vj5<ztChrLw_6JHpnvOKe7Hyup-*nPgNaGT+j
zll57){tLr;-<w_Yz1o->RVG=Ue!}1YNI<v0xAQH2H1&nS{_Lk_2B$V^^LesWxk?$%
z8$PjLT&;i2vo~6RrUj8$UO&b5N`~#uYunUk+ZgQhN>g)hO^k1;IC)a>HG?oX(|fPA
zoso^XU(>fW@X}BG=Y;uN#>hahNXxIUj2li74cuL1P`C?70(LcwFKgMewru^z7_79t
z;4MSOHorGbJ9m6!h;Gl<3LNfakgp2w=s&2A9ZWrQ)I;@*8WuHa&$rzS2DPlm<(V3$
zLkEb;nnuPu`BIP6qdg42f4%`P*Q%jO;!{E8;bz9?7j10s9{ga$B)ivkI;rAzyJfN*
zxs_r1_xXpMwSA0l784;kB`P4bB<=NP`NG)6%@ocW-_Hmx;VD@ZRDpEz+)LS|Hiqt|
zQ-r?hAS2cH@!Q%kWt46@uz!to2P2QVtjZ%Z%*dTL;rQF51buy%Gk^U$86=i{J-=up
z4C%UjtI(}VC~K~|wrjkbLAcBR=#Lv?SlPc?(XCR%Cl~H8kJcVW_O|VlN#c`?nm2Qw
zB`J!S_G}zwIP@|im_<uf{!B5rMD3Wh9w}fwBfLI$wvWMQbUx#L!Zd?VN#nPRngVLx
zNVe{KHNZ$|GcT{Uong$xvT+vW$-{(mI5MVUh@mi^c;qj2j$wGo>WrF>JSP6u+nNmi
zWbF32m}a?if$=c?R(x~094>{YK31?BV<czpanN}3m$B9~tn8JI98`-9VvdYWFtX~3
zOupMLF%ol@GKD&1F%wQIT=_Z0aElEwxh}Yd=*_({ybvUdN%Kj%&e>^3#)+}tJ^4&T
zS`r5Cam!+}#jM}o)%R_&)fGN|n1u-7<J0@#B!iz5?fX_t=NM(exg3kGtOWb-0s-Az
zX*3rG*6jCMV35zbEGNdX6N{4TUmRbNLS)q3WZC<_3@4X!8*4^5iDv(~`Fc+&h|QcI
z*yg*$@JsSbZ%E`O-nEG}zi5|4-m>V4CABp~ii~0Tt}tGrpVe7K%2^V-?cdlbykjED
zT?679_wW(jR}K&xXCz?wGrg)jk%jO{6^tZg1&B*JmyWN`mVordJJ@iJm1y0TpQj=!
zMC^Bbz_)Zz0;HIV-0VVjV!gFnjlZP`Q764OdcU0n#^xf9$%?Kcq^2t@<#NS{0QF7l
zeeEUin9IcUP!%`f`F7HF*hZ4rOP*_pJ|ls;28UzE@_32sA*!bTsml;)K4bBFzDq#(
zMu3Iw5k7+LmqL!cnj8_-0%eU8lIT5VHl0cnAX0YLyIS_j6X_%7Yq<AF;aG5s_fAzI
zqUN9E!0uOy#7qr;68{Bhuyq!j<ZKclbkaL7OTSkp41!K1HSoyd@6b@ff0<&$X-Zt$
z+TW_gmP`2u86-KJyBbt@M@f><o^TlM+CV1ehyc%1yX9fT9UZ{kFHL-rd7rkUNRz1V
zp$cssS3n|Du$bqVEYUKY>@6XsLu`MmqjjiT2^^!AYsgXZ#KDuH$G#uZCDu)~9P~F(
z#mULmiX&QzMAp8rBRz$B#AL5?M9x|=H1wuD>!*~6D~mzvm!~Mi-R_Z@Mtd#L)FgTr
zUaJs$yUpYsMfHhuMt{#$@##WITx%&PQ;iUj-nqd-ltzTlWNtc6ryxkRI>q2PnTVlX
zGH>ao5!FWJHqDRq!PdP;<|#CZ9<MnHvB!XrFuoKsx7!dF%|SWU<5~p$?1^Z$qXvXa
zTWw^oh6#{Ny01smAx3}gXws50Ab!}-5sRYc7|*@ZWc*o&xIF25e_=C?D6BC_dmjn-
z2$X~hY}O?rP8oPC{i715AEinw`z%mU9WdXNtV>WM2TXD(6yly^?tNh;OI&u|tl^uf
zOGpQuld5LXB@)yQJS^4Uh!1L81Ve&!iAK%<{qNkGL^M7BRS~BZX7^~ZKjP3OxX(_L
z$Ym<TiKgjW-!rVBdiX~Yua6F~e|=L_%{F<0H?#5MgMKU6Gsh-KX=@W3e{W;@q99KA
zCemiR#;uSQ#wGO5P?I?QuVr_~VG?2Vs%tK%(h35%$LgJ#$%J<?S4$pwg;Ct5UpIKb
z3Rcb>hZM6^3DSiWq1xOs#$r+DQgYWu{E+qZeyXHQFe`_*YAnprIr&G*6|6RbMKx^m
z(|ZcUx=K^C5NlS{zxgNn?6xI*P2#BX8gj%vf163}7H;Hevv%*E-GGe1hyAn3Qbgvm
zTTK;>4`<few25rlfWP+s7Mq#Hh!DPl*7Z~Y{JEHUi1fe$p&u3mB3}p+1?=;=-!2G3
zf)SEb!)1XKW^e1?uStaD83ietvk+#o?y@F_0cB6xuQ3^}BPvGET}`PMLitE#$Nerk
z5)VJkC|;fStgjFD?fD~wCl<+ZeVyhA*A@S)&-#ynyOc4h86ogW+TH6IH^VxGDYr_g
zDTeR`*C4JYA@~bC^fll$L%Q}tSk8v848Ct?t4`k%f>1*J)LFVIZocU{%3b@09x0Jx
zo_R<JDYk?9j^QR4`LB60wy>W*K?*Zjqza*vdL-ZBy)njLeC-oC^ozdt2<u)Fj}V?p
z7Y*%{G{$F<VKHjuJiXyTZAb2mAZ-3c>$sjW!uiv-zs-*>(S_bcsaQ`6VwPl-p4DfF
zx4cIt#O;|7m=$Rqv?2(mQ#lzyj)u_r#=NKF5et&KHztoL3qjtYAkzMm0mQfkCP%-r
z;#W`Z`=1Aepedekyl<-kR<yL(GJ4oCRX18@L<m7KZg=tMXBuYr-urau11E%kCjW7w
z2*do{c10U68qWU;=#;z31r90t{tQAGnoieJ$NuTVT3h#3mkSTXj*pNfy+tq`zB&A7
zhCZJDH*363f)}C7$EAL$i9+wk25(ooK0e5ntf}-N;fO=y1AaC!aDF`T{`?pfH)}TC
zGO*#pvB&GS`Ywtg=USxA!)z*&9*X{RQ00f|#2v{7ZV7CgITtABLPccGg-|VC0c?1s
z)v(4u5@RkgCtQ?PdCz%9<MEOJf=|6Zefy*o;@qk&24*N2yCTLOJ}Zdm5*H!aHfg}D
zL(Qh1g3NkvAD)HPzPT1%->oEz$Vd5a$wd_SKUUCBXA=R5^WpVpqq11|bxwYBHU-uj
z2G)toi{kxW*K<2x$|0TgcVNIx3fx_o9&Xz#27$|t8Vy(FQJB40<9&~UEF%qvyl8Qp
z7%~m{aY6z8A9PxzDkwPL_nh`$jRYpwa5>L<D55y^bWd<M1#%omr?@4hpv`+IglC5m
zZbVd?Y~`oo%{^HlTpCVfo}$u?%6O;~XB)T5u_GVky}pjfz_o#=V+~CON)DB(Bl%Q3
z!ls7oLRs)sJnr;WP{n~qiA6#J`Y@RKvqK|T4$1-BxrRB^@N&`n(TR)t&{`+@@S(mu
zDkdE5yMCzQfmcebnJ5jR@g}?7|H`9;TeDg7p*j|*H<UG=(=h+7|ATdv0w(NB{2lg^
zA);`<A=AqM#=HJlO-3j}moH!J%orIlysa<Xl?+jKp@p1fq=ctqq>Q%x8p!?D6#w+M
zA>2O=U*0jQgm7B=u4nf&Aiq{eNvPfkcH9+`A5xTY%pg5yqDljYA4Dx4DKth_t5o<+
zWfcs(DHpcN)qsTizi{U3CJ1#*yX*c?1#h;}RUbQPpxEQUQeccJn$@+7>V#CWc=^9w
z&)Ucs*8FHP<821F!+QlAyj5}dIJ0JnG#MTnwlKw8nWJ)pfo|<>RU|dNV;0g=$LY!t
znwlUTySKAkC@fP&Y}eCPV_`M$tDNfKY^38+&s?!)kt)9GntBH}sen(ZwECzqaBlQ@
zS4n~@UXo?TZu==Ckt@#l_8CBct)nB;N)<u-6n;02E8^|Ukr=b*z_fd-g~$&ToMx|l
z{K8EEOGWgMgf1Y4w9KXCs)9B1!+A<ga>#MZceI}cp0)E&MZZ<Xygxzrw30>i+YN$k
zOTekX$(CqAW$;Fu=e|yq!k1!!z1{P`;LP?refCPY(wAEnTP}{}hZ&<${i}8U9X7~W
z{jVDrUIhn;iQ>{5)dbnMK+E#Sf1TM1P`2?>e^w#{^&4t>7B_%WRteLjDtU0RX1%(Y
zDgYY}4X2adK%9D5L|nTZ?uyIC`Iqp4=gBrcXD#4!x2O8n-?DhhoZ@&$f`oiml@}j6
z>BwFhSXktf#ha(+zdN4ifoRxE`>#9b(7jVspK(|kv#(loM|N_p&U4Qr`)YFtBqb9p
zA0;6n6HF1g&WT~-%$<!o<~TSxFyCh?flY@8t{K~LfYigGAC_T;H~hA`g73vJ8FN{H
zx}P0Ydm>icn9NY`mm*o<CyM*=A@iee*`TF+%Yf=*iZgf8UPx$&AftH8R9QG1!m7LG
z2AWJzMSN~B<P=84O|dh%C)vPi7V^Q=)C9Yxd>dU^gix^2`Acpw8}z^1eg6Ew7++6F
zZb%RpgkHfSDOZslT-%$qwM30!wx{5Z>ox)SD1SbgUd;|BuXEaY@kTh+cHMp3Eq)xi
zEhm07nFE4xF^_JnF~Z0V_Iv4^{J7j$yQCb&iRrr%W;Q1c;dPbou1_)_t`v<cBwk$y
z!zk|f;duizr`OeWYw_XS4>o1TPh7BO@#-o$VE_}us4RgY5<ZYitwt4iaDw`h)VD&z
z>->9X)k{gp5$sv;&sdLktG=bX@ifeJ$`Lzmk)YF3{H0o$gdN<4m$bxb*swLTw)qAL
z9K{@IMpGp0xh#J3<tlfbS^rFt`3VW!?1{TQzw%+=szgYltv(_vzVz>GBSFGMyZ2Qy
zKa{0*M-2^8anI0J##xXL5fWElOm_-^^X`0^SRxgr<-)eFy;jeQy;}+w1i>euDH3i-
zg@s>dj@?H-bX`6+RjVwFZ0j`f<0BN5jI;N(ZsdoSyVrHnYVOoMd%EHHT?(T29(=uP
z^*;X0<0}7Eio)R9O5&0S1wT7or@tN*fQf>6qMeF3empjwyrDsX!ZXURP&Gj?o2|Wg
z^S%TwdMxElFX>^kOYErQZ$VI^Ni}6AQkXx~dcLGx4^{<Nk7um%!6kCFXXBtWF6cce
z%&*i#w4&r1ziMHSkK8}-eTOU_k$x#ZEzm<b>1R#vM-dcNz6)6}mxD)BX;|SyJuDn2
zo3RXwVzFLkN|7p$*08vYr$u`BLXSC<FDec`ruf@YdJ2%p`r}pgK@Vi=*R>a%S3SeN
zEdH&bB9@{z$IMUaA!o=_hyA%E#@D}it!<@*IYUMH2xSU9SdK25%1J||?oC_BPGtn1
zo>M<^n1X>*+lSjTWw86Qnoz+(6~tBeI`!005G<R}$eJdL=J#Ydt7EG8%z3E)C5;N-
zTb#n>ZgLp*-k|>bv>IMV+U<K+M#V1Kp#zZ=d7SX+c6t`3j!KcR?xWlFF`V{lB9ub`
z-G8sVuXiUSu*zro>tB61g<W3Q)vbW?N9FcYR1Jg<OzcUjpdqmJ*bl!VMHC#q*lahf
z0c-hzy!b=|s4ov3&5Tk)Uaa2cmSdWbX($-t3pT{N+?JSNTV=Gp_fSmvqKT$DTFG@U
zBREHVag}3Hfih%|EwX6gk6fPZ8&6~8P*g|{3RKWN($#-*K@+>z#Wp$kncyTnHDlaT
z6&JTUksF_ALP{`LZA*wLm~xUUMqjDIS8OCHLq!w*rvtPFPnsdHnose&f*NWMT@fjC
z(SY;hBJ-o;<`}u+uYT&F8qRM0<Qn8ehNi{VphXWlj8eD1kUX!3>V>DZ)spJC7=Pq|
z@G5pJe-?Q+AEO2(<@^Nh$Eu)IbgL|%2F&%`%#HV}LBwG9ju#>-@cDc;CB6<|gn!PI
zC8^=6ZBF7RPbFAixDlni%EQdmGiHCXRM9lbCnmPKr!Pv?Obi-WV7UB1lMtUO825MG
zOkUl`+iZ+Cq&Qf>@NtaqBM%j@SjRfX3Ckjn(IJ_*&jQZ7TrBc$Dr4=xUk#gTCDFj9
zbH06t1;XQRw#5)i2>IQ3wkksm8fQ+KeK)m$=Wtijbc-U=wyFdrJrKrMzp}{vq87Mu
zIXLtEHwAo@oqN^2B7n2rLoaE=fZq~xSV^Zmy3;-ev*z$YbK-WA%VQv(d-D~QZ*nN}
zqZjm1coAY}7FX^MM6%r!QTQf{HT=!ap)a^_mibuwS|uQXy(!&;kU<msqtMt64h+;P
zR^}Aa;mi{rQ_vxWhLvKM?DK4>e00Big`W<pqiLq_I!W+bnf=&Ox)wn$eiY9jbL{JE
zdwR}693gWN8cX|G5EaO)T>8-rU1Ha)hMtRpc6HP19zSLbb>C(_qilxp$Y5@3BM}6C
z|DbTHjR~JTIK-x+OtCuK^q~$Rv}DF@5xBwxrRavrKiwu!SKfcq`{t^*G(}r3US&d~
z;m5xY<|f!JUry@|7eLx;w}GlJOptyxs~4MPjNjDkriqBveHD6fki3~0`KA54{;?Xv
zIwtJ*_$@wY%}edxKhBKHQadlK2{gifPfp73P7=nXIREC9vVeufnBMfw5EO*OPZ*H!
zWwNRCe9l^g3{I}Oxy2CuHw5+_b>>CQn(e19J!3_ewAM=OD+7?ee&g60xgLcdVn;W9
zX9G!>T=dM?0IHL$EW%%S@SlNym4FHd{1?ubT9na{{_YYvZ9flg{M%V45YLH(vMA~Q
zjA_UoH4=Hj#{=~vCD%kbxKLE%yLs&^eN^!HNEiI(M%b2|J2BbZ*dlu8O4Js8Y*uXE
z{%H*lJXW}Ksk_&s`CnJ@OeYon!|s&~10L*c%(FESB0)ZHN;M^ziYuy569TUBKp@ZQ
z@A36~pt9P<C-G2`rW!8BCbJ%chwj>J6y-;&uKjPyV+zdGe4~~>t;dDXjgOvF1h8dx
zU1)<N1${v|cX{ve;`ARO^EtOwZ<^g+^pc4J4%g$}8TKR)vahWS?g_z1Y4-`Q61`PD
ze3V$<OTznfBksa~!Z>!6JKHiy5B#r{Z*|7;VdCsI-&7w_kgJWp_v-24A-QIT*ODJH
za$j!zoe;x4<Nc+*OS-t^I->QSZ`E(tTGjPjlt8eJj>kfiE-Yt0xdqG$K+<IM2kwnh
zaD7V8oO+@QH*cBsM<)dFJg;`clAsK@*PmA{OxK0;oxUqpOG0S>%E>f*Mi$~O>b*vZ
zx~RHl@N=WQ2u2z|+44urL8GlrG$%<HOaqbnrOu-GqLa38Iz=A*d)gb7Z|P!LbV9x2
zi5P<JeM+~?Q$V`gp0n#Jb)m$eU7;%~fx!pwZnD=aBEUc3%i}R!g!MdSFTN@X2b*Q<
z_CHGSGPbxDp{0joi47^i>e8@%f6_;ctb%IO4$r|DJ^1}`e<Ir~1Ci6g0lo)R!Q`B;
zVLhRT_}dXnqi<zlTi{rooU8`<b1C1uR`W>xPr-}uJUP_Hc2&5QtD{1yudSGE)%zyf
z&-0|o!(n(nq53l!*Y^g0I`y22V$IyQ{xJ&Jwsoh+<1P(!2VAf9iCE>0`<s4`1}j1-
z&*lO?Xo5txJ|c90h6CDO9geO_$ll^HypXJg0@K{ZEsh2lZ`W`gwNb_`6)&|lYT9sr
zFj_Wszz{b+ep3%sQUP^vcfi#IZJ1?kpKm>B1fS8r3VUW$Ffn;(ZRQhgXz>4xExc<C
zW5e=IxldHlt|@bzmZXhNk#pQittM#O*Fy1hP=jb9)7Bt)ZCpGkQrpC8hL!n6jmK?j
zIGCg5*YBf+-lqH7*L2NM727+)YNC#Kw&N8hUYaOra_Sx0PKQK|ELZAkzVi4jA3Y_i
z0V98})EgQ=R``dBgNf=ef9_|xE<qjFca^jn-35~Fk5!k1s$);Ztdz%lRTLZheI+<7
z5GHCcuuN0O_qTB$!a9_(SJU)Lvy%l}HJ&QU)TtqMNO8EmSrKOcW)lXlS%Agtw!58?
z8V=J}-18XnX!_X_wvS<fOx>vBu_#q6A5)0TeIg4s2`-+aO&0j~T&?(co(k6OJ<Q|n
zDg~Y_vDZco7Vw`L>=Q3jhH=k@v;VE;NbsQWF_#JpaLr5y$2?U+|JgHl-%1GM%68pd
z>}eLzdp}lvK0^^?87Ei08Ga0v|Cmp6v%tRhmU6>k3J8>VLH(gd!lCX!`xto((C0-B
z1s&y4w{_ct#Rx9UYFNLZb^zlnQ>rW4a-eNC=qo$Kj_ofZS$@O=wo-wOOsn4EqcBFx
zWnGKkC&|wuXn-~2G$n0T3J=WV{pnknAR&<~7g|Zj*pY~JMLiNY_~TIfqdm*?!fE%R
zIZirGS%&bl4vT?%pbDev|L7L3j3;G|<}f>;cztobDB|Czlztgspj(~#8gS~i8B~%s
ze;U~>jC66!lj>3Pbh(^oYf?u|;r550Os*EhdOPjVws&*%1|g5(zec7AkXoqP<R}0S
zg<ylCyK{8GBO`*|39EfIW>})e!H-#^XH}n8=IFl13S0K{7^7e``HtFm5_WETzCHcj
zJbmCcr?<S3G1#Mf$K#&zLL*zjwr+5NuEf=Bw3uduy%xE0&iy<%SdcSk>F}36P~1as
z%o~FLyIEY<E^ZjKb*+85^p9SjOb^+=fAw6Uw|Q_a7djTTr4oCV=uQ$od@Sz_5Fe1}
zYctA;DPgT8_n8&C+pdi%EK~#7s@A!DW8*{`SJKs!;!H3q9Om=5PlIw<#KAj`9B6jc
z;^^JZjPsACcvPfl_!FS_xUq>HBQ|xD;~6YyOKqClm9CG+X7O&{PO-znd5>bl!df)x
zG)FIq=tEY0Auh_E9sE%o{+j~Wu%33iQtc)cce{B0Hf?3c=i1x9ZY{9m;^gt=NkuCD
zx#$jQ1+(Lc^y#M&H#w2?IHKLRh=S8Qc@nq3WCv&QyWm+TE)?t?5_-9j0w<AFPmnp_
zma+GzD~)HB-`Z<=I`!~;)JfgFiUSW$Ognn&^1{B{D?T+$4?92A%^f<%iPMgCf`Pdt
zm@L-6O%T_^Etk?nNBec?*x$rFS;GgXk&^uuuXXX=?Z*7^?Ogcyc2w@uGCzdAg?R7;
z>B5AR?SAkmH)eVDG>hy6q3kKCuvbwRvr!S$rI$SLKGmDF^|26Md-*tKeb>R^GC{c=
zn!FGd+&8&}EQ0GY!>LE_=)lq2jp>^^30{V7*Z+I7nga@R9H#<w;D0mbVxuJ=#9y6V
z-xn$lamh}-6Bat)vly1xYs?S-_giP2?IhtOF7a-wj1Io~tRZi+5x~(?tvTH$(ippN
zI&^_u2Lq9Z4kq{s!lXJ{J5^a0Lw7V-4E|{2+l43Q{kcNu5eyPEqst*<;1%uPqBaU$
zeHVq7gfaLrczfj`c|_C&{$0nb1Mjq!j+d)G{+j>W*ooT;NS&BzZ`Ia;c4E&X+Kd?N
zr0p&{3@GBk6TgNecOB&4tGu3eRRSd<pIsvjlo7k>s1oNx9f-<rxpT%r3TK_^;lZgY
z82)I<r^2d>T)N3iUKJT!__mVzU{)2QX5D2CVY+CYHvYBef-DlbE%Orhs^e#2e`!0b
z9_kinyTdQYVPwp;aaTDR+~yU`KUY2O^2ScW;<7wA9gS*7cr@{AZI;81U<#}+ek<R%
z%HP@9`}cj_rUiw_-P1!msIWOZGt~J^5z6~x{__pihEIIXk17X!G$MFe{+$vwUmv+X
zNYlY!NXpP+01YobSl()GQO2QiX;S%h9k7;<S*71Kz)Hr?vCcLX&|LxtYPxlBXVgYk
zamo;vjq0XT>r~M(A;5ifNe5To2zKRfGlrv0^Yg}hHMp<Yyz$*H9mLi3Dm*MR!JS^k
z#~Oj^_#XfO|Nj)2cR1GH8^@8Ey=UUF_hURZpZ6naD5Dff34KK+t0bjDN@P?r8cIs3
zM7xmBN2DQTWXql*q9hqVzkkoUulu^MbFS;W-mgQb?iXQwNyqfa{YrUND=3z8wQdyB
z!eL#vP5}ox+V@sVbR}A2VE^DW^Q;z}Y)xwV_UIu)E-adJfPjnvUt9NAEp*=Uo)>M_
z0nOPbcg+PLr-~DX<65}B=7+Y~v=(xrU(50+FfmS?Kl!>r3yhD_yX<Q;peEI=W0k=~
zy<Q7<<ryu+rvBx4b65?jc`07?f0!tGfA{)6PA%-oUzM|(MFkHoUC|n|w812A*|MuH
znlSBLSEhEH22${X{cm3zWHBa6`oc7zD^a(pm0bZG`gYo>VKx|_XtY)dRR{O$f>={~
zS<vn5tzrXg@OJ-he{Cl<c>Vo6%JEGCJChEYZ*^GeUli`RQCt;e8{d5ytQWz%O`khu
z<!oTX{9ZHtK^ac;Y!Uqk0k{d)Z&qt%B79F}fa@V8^uK**lWfI}r`D|Ww+T#iOkIf+
zm8Ze!m5ZL`BpW#Lr4o6Kn9!|F85H`cfQNcaQ3?5ZA}Et(@MQx~ckb`Chja3nj%yd2
z;hH8U-%8feLV=#%BaK|g<)B;rCOqWG1o0+=`AA;?h`;}rJwsjwwu_~*P4Pp-wtm-_
zRZavBJ{=qr@0G;Kzy0M0j`k283OjedjkU&qE^p5ld=|&tu-OaC#&)7=t1|Jo#0m#w
znU}13Me!-Td~}?znOMEM`%&^AOFWd>Uv)%L1Wx5P9G>irMEf4|>l=(M@zgGU8RM)F
zG|Sr`YMV9^UtMN+?jEs#Zi@V@h@k+=i`6S18aERwo4ZST%FJ=GNU2TeCNFI6X|3_P
z(MCik?&y>dGza?~+wAh~JTTv%Lw6VLB6RYd-`jebVgLKPnS35xDBQ!xB;NKA@&icq
zcxeiCyRuiOvpCRr$9S7kbw9B&;g#5GF;k2P9pC&^o*hxLDHm2t4HKW62kvzpG{J{<
z`*ljqY*3!bxyGM4O1$1|ku20|42gKtxwuMJOs!HQm6axl#`xf==c|li852iu>Sw_y
z7TO5@Nuraxc<akY3~Y3elCU>mf&NYFg8Mwbh#MDeo#vDnsP3>48FyMFq7QYmBuGsY
zF*mm_J8;<u-!smzr^hc46$PP|(iSsB998Q*CuRiIr?+La_!fwt*`X&RLuU#7<cyt{
zFB)RU%kBl9+Id1Dd+om5iaEl|_ND+KVTjxBjtXvWm?vgREc0{>7KwOO-=Y4i28gKq
z&FB?hAR5{&Xo_7d;B-mkPF6EORArp4Q_2F-y7Ar4PiAajcWX;0p6estZ{m2b%_8yL
zpRrJIcNs3maXYiE(}%cO)xbIl7G(bMlD?+LftzAaw1+zB2s~vqcOsVsJ3bPAS8F*T
zxtL_ibCixZ4wqAnHnAco(rfG3d2ZCt_+5{cp~L*P*l43P8|bWxWgG{WBTXf$hCfmd
zIxm{jX$x#vAErKZ{wN>5{--e*{aF`_4yX66U}4AZ-}3wi9|+*B_VdV54PE5)bsQI0
z<N(La>NKxdA;j$~85>U4LHJe|gX`X$a7oJ*++8h<CWXKXOI989Y-(h^SjmOXydJe<
zbWv>SP<H=(TpQ7s_VzA!<N*(3^NHy~F|;-;SU%^`hE+gc%g%-6*tO~Th^DgyVr82n
zm^oTV=!;pe(8PzwPG@h2h)O}-bi?P_4O)0zb~skFT>$ot!+T_ArIB{x%B?5dTDZ`y
z=PMc~gb7pjU5;FGFgm5sp4hC36YH%0859d+=Y7r#99HsBv+McGK`yPoSyA(gTNKCU
zehKY!P=HSJ``z=Uns|9}mqS;G7`$0(JBBYR!Y=3P&+;}+sE4wM`p=5v@Q>5CG{$M@
z@!4IlQd$cwPbJT`-H^mbS;3?Ap2}!;-@ecJs1{V@hQ)37NTXeTy<&f#3g+HEuM*|b
z20Kelhogfm8gjb1PaIRjy`CA33uW3!X*|DLb?XWQc`Sc@Pe}tlZ24z57wX_xNbw=_
z<10~o&s#*cQ4=zEBdo+*biwl~Hz2-80lU}htQk(!21Uz}c&|W*?R<2`axofe&Whi3
zS*44tvPWg-|Ip$8c3V=qvl3pOJ;F#F)q{-DB^mmZK2+8|O4^j64BwaIY*nRn)N`H*
zGZQyNQncewpQX8dJQR%74(g-(Y|t;`okrN6AsNt3U*bVgPmH^O0p3SP1X)!x@FR8|
zNgY;)kL|k)#itBV^4@!SjHd}?YTHkLd!zv^YiZMf&jygW@`b)AXa>c`(f!g*now1e
zDQ4?6z&lx6FZCvKL`U^xUG309Yg_ok4aEkyovo)haL*DF{X>t;NNrRXUpKSdWB}{A
zqb;9~Tf@Tcv&dAS4(2_7?kl~mkIS|@dAHGky__DYnL|2g(>tu=_kxaJ*K1#Vng*)#
zjyyU@(*>LAKlW5<JrrmfyM;bu;z~%{xlSovOx$JT&)lhvb(CanqpJ<hEW2^1{DTfA
zVj6BrxN2a4f4Kfvvkj8pXs`Un&_S=?)B58Is_>OO-}{)c3Lif@@|Nt<#<>WUi|<=#
zP%Cn|Bp$E|Tk^Z}qnxyGbAO%VTINb@wb|HYaB>y0r2`9m_%#vyeoKP9yflh8-)`y;
zUWF|0^Qqj~>S*#E*n&_|l#f+zaJ5^7$waQEui|Q`@H^R8Qp5*dLAmcCY)kcnJ*q^Q
z3dW9yL~dzWhWEd(eD}I<gDVx^y{$eiaZs?-Cq83_c=B~RSkBG{b}Q~we^sDCEb5Qm
zDxD!>v^H<KY!ef_5Bf)Hjw)d8%yH{Uev0tC{v}bvn+X{%^8~ARD{#Q)K*)*sCQ`9E
zncww0;OqB-kys>yNxi|{MlT1+*dG@I{{;hAPQ0F(X_iE)v{nA1!30^v|G4ndZvy<Y
zWzHwn#Bp<Uq4Ji_6#0mZ;p^gE;^Tk=3vZqXBy)RCy7B)e_Y>~loYbu`#OZQ|+9`xO
z+FGAHzG*V#dVlC^dn*K0WbJsJ!UwMl(N}VJPLqk>Gh$=HED?767ftK~H>{GoZq?{c
zlL|wJ$%l6>@Um~>y_Poz)YA&@Mr8jcHFh`r67MmGQe;<H%vLt6jeOO$|LZTZ;Q7aQ
zK{RvNe)o!gN-PqlbCK-1ol|6My&m@-e>1esbjWfB&Jx_ac;=KFC&{~UYo)F{H-+!&
zTk{)rrU|cFiE|Gsf06+lriq0-rnvlfjnvQmlSIk7wXefVCdf@ZIigP9CP+9W!t`bS
zAb46`UzeX4Cvm|gK!Y+yj31u193CQS9YegD^2f-Vr{lDK(Tw5gm?!P^UoUamWV|Jc
zca-FcC$j?M8R(I;xPEf*8{tteddD>DJNZ3UWRv%_5grS-g?Gs{66tK_HBA3u@?=)|
zhD={0Tz<xpdM^GmA#}9)sNI1fGS+=J23rkL-d<5Ye(Vi#zT-+*RsJBkS3#>-X|o|*
zTs<R7?F$HHgY>Nz)dop}ickAAzZl?T^VJtg&*I4=qlUR-tpnunltW~zg8}*$R>gSi
zdP*wM3Js<!2S^4vz$a0s54I|1_LHG9QZj$c_TBdZGUb5#t1>rzIA@t24xE2a?yD;^
z&R#u88hia+SJ6X<bYSkWnhRe@|L2ycd71{vydAlFIfLjJ-Mf2Jb6*`9(0<UWH*1J=
z6WtLJ!a_%qcjCx!X9FqivYr`zZJ4ZJKBym3)5H9OtaSSOW^&x@ReMqWck=eoZKo+0
zUA*>p<<Yv=M%F)icK3(PD4BXq+q~zD4m5Wc1syrxLE7IOD3cr;BjYoax1~|qIC4wU
zEv}-A%v1;xum3tuF2nQlQwv&%Kbhh9Y-0~8w4;;pY+-`r**PTBZKH*<$cox+!@VRG
zpSdHDF-h`zYkXdJP805-hvy@%_LG^c<C%X`rpQD0q|VE=X<)pi@0{ZPLDGGbdZC=y
zZ?Zg?>)QrB4LsMGstDLIOd5`dY!ZAkO-5D>`_;#(qg9{3?cSjgGUY|zy~wN?(m%fO
z-@`#Q1Qruq-bG_1qvzt=^ZB#nKJ71o{q|~jzgnUAxzq&NaXO-JZfcG^GwAi>)H7A2
z<)++@4f;uT$A`RTJ-kS^=k|r%R#wGZPOpHO!AVk`t>q&j&q@uhI)7ttrV2(6UQjHE
z{zY<xl?t4=%|<o&y_@F{Q-P)ClzFD@H2Is|ZnWKno$?Si%zKrp45=&Hos0T2<dfX4
zU2b$vD)af(>^50ttO@Gcp5i!57T#2MbG78AWCluKx8y0Ils&rA_vRe=xO>v~LF963
zL;STcYeET@hi$G%(HF^hf#&m9{_;`$z5WlLx6@ENwkgSTk%f9A{wwI)GeK%g@av0G
zF*HaP@x-5uXQM`@Qo0;HgsBGyLl*WK((ph&^9jEdJ2fBgD8OVFrH)n9oBaBr2pb=d
zZ&Nay6nm)L1-nKuYVQF1LyH$n{2#r^8KlllrIoB55^9v7WaoTtC?+Z5K)lbOz~1H5
z6QRGq4sc0RG*^Q4`yoYKzaL|s*T+X~5LM|kJs?Z{TM)hF7_5k+{L>-ZuL)9?S8bN-
z3&>OJ`K|9|#3({zF(A2kgD{n@u*kmukOEa}k^1dHp(1uyRDWZPi%`{D%39Nx(Wtf5
z6KkD$MR?zJ7p;3KMj7U7?SA@LiPF(g+MjTM2DZ%|X_^lts8V_UDf1W=%CM9Bnmn%(
zM(Xy)U9FO$PK8daCl9JoJI*F$8?-8cbGv4Sw6rW0YifQYEmnilF}QS-w@(?<1Et<0
zmsU`mI^vOgA8S!^G&AiceN|Y#%==-Ws6gF%{HFQEZyid!=FZ8J)oS?XA`nrYq)4^g
z`YLo?iB64wsZ88nrh$=W>0qXa5@j^NSMg+{J|%N<eO0=oHtNP?9<0n$rcQMAOz#Lb
zpcru)efyU3jNYEe8ZSpxO6`2B+3Qn=RK*qzp+B7ZsN3i=>awUtZ80zUN*y(#R34h@
z*tZ*C|E`q%n;vOUx`Ofv9%~s?`g^xK#Un;gKJ#<`mF-%T2FGBsbQ^=hotby{=_VLk
z;r?gGq&D?SRW3wE*_hguGvzg#ZHB&kuay7n(WN{yEH-6|8B?87^1*@nmT+lvl8esQ
zqjn_}I#%6aP$4$gvR+hK<Bu@S``b1;b^Yk=(_>{u6xZRJjh7w(oxa->#Glit6DMm8
zrNa%W_Kp=CrJYPXr-jzp^wX)2)jn5!tMsWCEKbW6CT-yHF+^pdhfamw$kiN3*Q0pF
zJGT95T7{X$))QL!bjmOFhqAV!7Il{Y)4=99TWrh_by#Ohr%ZzDSJ(KdQbCNUl(h@C
zI3aCs*tb=WDu1&kPy3D{6*(4@Zf&+21uO~t@-;eC-OjRRQbC5&JTkGq%yKmZ2QG15
zV$-HhXZ+Xank7sbsdNTq39g1yD^F|5f(Es>XKeU27dw@_K>JxxWQ*C50laEZqXrfd
ziwm+w$U}<WX=!V0(f2c)RXRh3Dv4p`lr-xi+&*#j=a8##D#Bgmn~M^)=2yj-MB`sV
z^NHLx39VId$Y!IrNGVds&j)YxX<ddn$1leUQf%;inXu-U_7&8}n18}Ol01-`kl;`M
z&BP9=krQu=q$y#+yr_<TJ_P*m%{{n-iGiw#@N13Y)GdR=`ts9)$Y+f{efJ~K?Zp!c
z6A>yX-@@MGst|fl9WYC=#!@~Gw6LZ4sj{_&C7IH~FnK?@HZ_!hTX-6+Er*NRF}}ie
zVUsWlBg;&?!>u9yY<;Ms1RHhA^})*X9>NIpJR*MaoE19kn+4}+vt&=ka9XLIFt%Cd
z_k7K_1S4EoUQFgEd0nejjFK0|HA8cgTWuC-dYaLmJl9RG`1#ybXj};K=S;p%iCN&F
zYUcI+TgBwu4XNo4QV1$xhW=%4<_L0?Z}VPRPYCmS{ftN#g7nN`VOp*k?#(+I?Xc`8
zhKa19!U!ScJ?#xzJ7<c+JC?=&S29lMcmyxV1_(i+XypEBcT*Icm^cu3^%wCz=h(P^
zun<I!iF9nFOwhw{3M?6&Atw07VlSQ*!iN7+7}`1}Xh@@^mAmH%_ZveE%U=j#<v>Nm
z#~a2d5{XFKvzi5=JVJ$CvqEscBos3&V~kzFMr8RMD|*sOGJCcNBh%Wo-SY|qm%h1o
zj9puXJ2_%OkKYR;LvX51lEy%3OYX1qC666k&zs-8Sp=cuW-0;&Mld>FoHqP|6S;Sf
zOV#}m0lQInzLSj+a+;!>6D+wAUi~yy`k5$RWmlRnv>9SwrrC{WZ+K8q`(8r#oEVB%
zcx<&hW(XKW6__~kqT8lzds?J8PSAYs`YRdYQ5JXOnE^gnu8oTBIx7L=!NEsGwFWrA
za=YQ<IRU&_Ja+H;BT4i$ls09ZF~HshIlCV;Aw-{>+UomT3N!O8g~_W8P*YN~aBsOV
ze)uXjz1|{&iPEkUa(o6jQ9ZJ6?V>PTzK8FTsh7pd$)x&`Hht{fny}1;O%xRj=Ci7R
z6>v0rA@cf}K4=_oLe0g+U^S|{V_0P+;-2Mw_rI(U>r#mgwr1i8$q<jY7O8-(wb$GS
z<Mpv&?(M;pKnZA0pHE8+Q^ejfcX_)weJC>C>+rpjgm`94k7gtdWNO#S#~1Y>v)s<f
zPeK|T0erkCQ<R{-t~4s>p+0Wkc1Y!olficSjHPOUGCnEaFKTPi$AI5>KC6Hn{A$ee
zw3}2QnD$3;hok}2-R~O>-dTY?ySvgBIMnd=^ez)0KLcD|@$+b%%Svb-4%)WPR2`O6
zP5qmfe6FURW$5Zz1r+XV*6j1wz_q&t+!5;y@p0tc?7kpHTsh@PmR!=r_Poj)W8VyM
zDENow+8s1J9825u>6sSfPGlSjJ8OiH7mp5UIw;|KP-eAsxi;9$T;u&WGH}Qs(kl+i
z;JIe9=JPWhD2!^;qcx0?Jilr4Mtv3hTgSV~D^?etYu_GvC1--R0%NgOIaM^RT;<ZO
zu7_jaUJc8unBrf*{YSn<RTNiyHf~SXL*i_1*9*c7{o5nYZLVMP+4d|JpZ9vuUTdwm
z&(9p*S)L|Usp>GkweRVJr+P5_p&hxHX@Mus`Sg9(8VIe~5K+2S5Ba-AoDDx);&jGY
zXR9g=?E1S~<<fm!gtRJ8P0U*%wKU27y0IoQu$t50i4GbX=dayRB(PKN;I6aBG+}=^
zKy^Au8!bXn%^#$I^3~Bl>M}Lq+#@RgVnh=>ZZ8*!i@>&o;A??P`LTuK(~Z*6fXUOO
zcMEfXactSoE1NY@9$>VebCnw2#3hFu-OPlg2P5y-_|kn?Ur&E;u7X?PzFrHdOyqcI
ziXZaPK)AZ=YDr}!Xv)-yzoM8}xoE%M<B>W(9_jL0CZGto4@|#pWWvq!vG&|IH5_%_
zZd1=Ek3hly#6_E#_|JiLdH4@i*iR-;?KF@<N<{Wf%St9BI_~mD45^@(-Q4QTbqNTb
zee+~{4ij~)bos$rWr%OBQmgh7Ma*Q$P(v^istbvt8HG!8e39?<j}pS^{N^rABPQ4-
zzpq#kPs8l1oWay(d~oyiTT?v>{4G>@ndGC0o;|XsvnseyWGA+nJqtM2>ns+)R6sdx
z+IgEbJIsD_NHwnmniAwVWgX?wmzQ9awVM@u;sU<~`Ur$*uO`$D<lwKWwD8<%foN0Y
z9pR-Dc$xE|<_BE{nTaL$XMfHTm0bg>3rDP>!MGbB;V6Z3o_1&C5@v{(^%0`Q<yMd<
z?mH_cOF;MG@69X!O%sMQ$_MTWSYgwZy+!9I#n6^D=BlVPO~|)I?EJFb5*ucRt_Vkn
zF5Q!8yzJm_g6uid@Z-J(BGY#*WU7duOKuOjR(G0k|C=m(ZqXba4z*?(zl1Qfn0|46
z?~-3~=CQN7nqxy?Uh~RNf?x@sT)FbsAEKbo_x_p3X2|q@Ash0OAF?VuCV!m&61*-~
z>sE=F;fyDDjp0^4e67(q_;+HK2$pR$TpwnNs%7O1W`C9gWz22=-pvv3qDBOBJ4~>x
z(ci_cmIn<tc~+RzED)S_Q*Jx#P2jLrew%VPHwq8_a*v8;!KRO|D?>|+krUN_f>Pqf
z*z%#cw~ts+<oi@^Oy3w~MmgPPX<X=%mAbP2HybKndAEPQ&%o0|siETxF8J?B5mMU7
zjt-AosfwBmtlV?r=vfvn{A}1?JM)SIwcVamKOY#O?;^*~#VJl`NjuH{vE)L`<y9}7
zjf@cHwD4b+02eCP>@F*5;)eH_euf)mh|&v^e>ohvQ1YNh)b`wR#HG}ls5l#<^^+B;
z^OOr7e_0QAc<{kSu12k6zyQ9vJhNU_+~_b2xTCy50MT4YLQkR$U|u!6-R3(tl2Y{_
zhv^Do3wJ9^hoS-4_K(JrMLY=P&gfBGCyX^wpT};!(}(`<*Nu_|%klDi{F8@=MPQ>7
z>$g2rAF)3ilIq{_V(apf#&^Y{2%|a^cdIPr+qg9hii00t+!HS=N{XZWQ-uMegAUq1
zYubpv0KOJ(wGK&;!17mTHf+tJ<IKy8U6+3gqG6SVlb?(fh;qmCdwl5#R`<T3)F6bD
z^Op}~y_Lpz_I*2=2_3Sd=0Wc&gdv)Dv@jt_7P~zIwLOICc-HGYed(hJq#i|f2ZpVH
z(v7fcu~9w5ZMjn$JSd8ToKpAx|L+(w5Pm4`lO9r5q0UTB95dbiZpQTr5MZe(im%i|
zjY+^%iN6Gbb(lTje-!ag;>=`6yB_$q4kX>Lkwor>ZCOXOlpuHJYT$YvI<9^THjj0d
zMoVWutMdV6tX}kg9L=D^;^g+P(W5f39kx|CR;sde?so_K4$^U6+1K@0wj4O0xjlO&
ztp<DN_~tDi=r~M%G5;7Sk1m1#0{V`rWBkauQ*Vv*ae4cciLjOezI7dN{nV=gb-K8?
z+$((?nusYk)lh`#t&A*@by{$_e<XONn*pAlE6Z%A)4=NdSdK4O8{>bX_Bn|f;uZfT
zwaz8)+@$3GuW(WaL)lN*$q_?zu->f6*sKhr)-UvI6+N^pd(Ld^HUiP;Id|Pp1wzl<
z_9)5Fk^gDi5yjsO)F03*sgF=aw0Xvj<g;`%RVeZbDx1LejbD^otQy{J-g`#6jgIM{
z%~j9$nPT#d_l4YOb+E)eYV73J$JxX29S`1_p`!BlmAw5L@EREviR0HtqN+s3h`t3b
znil6xS!zO`e@A<9A00<-@88vV(-Pznq2^^{OI+Z8>UKYYjwvJG`fI}0;P!lBn-!*o
z`lN?s3@aU@gB8ge4if0&bPdw`ss&Gd8~by~y0~!Ma+~`uKu)QJ$ADEEz57lKHdbh3
zDniBg=rnL7D*1E5tQH=u%}`4z&_w<t7lukW6M;Teml{g7@Sm5^Ro7kWF#IsMy{VfC
z@jusWPdO~rfAZLu_+173ZiD5f`Zm~m@V4pbeNAMa@R9!Ft%Nw{AsNg6Y``6n#UbCO
zfr21|ww>P;Fx7n6N8z{)B6qD{xY4Z+zBAj->}-)kRHIkCW26mM4;0)Ht5gFl*LR=7
z5=aH}uF;nIoX-pyt4LNw)%CAOC%DAW>@)T+&C~`b|4DAKvQxocg;>dKLI^uYXTw<j
zF|jNqy`q0Y2|0l#P8+*;5a#Kh^QM4_!;h})Eli_<Z-sobpb0yKc$2iH+?jCw+gaOg
zwdDOD9&Y2DT_7sHPFjpCahdC8QgwFIN=(&Os9#+3hk$bvReBlN)$qiZZ~Y3;T>oCo
z*853JvwYIXWdL*c+1Z6!W#D%^<Ym<IVS>5px<E=6fpPl_ALh<ULE*sFI~@i+gk;1b
z^`+Jt^E|gqPWejUkc6<{jX$l#&~NXaK~8Jzm2!_C@e{-2e&1PVxdvj`J^i#gVTEsN
zf7aPt62Zj8sY@b^I)b)MuQcSSC2|fa`CJ_l!qyk3lO3Mb625B)_RS?0NYad)iEb3Y
z?A65NlS=i3f3?wLNj3|38I3=zP~pS(pa`p8sYc=~XS-?d26K2t&M%89<AHL~>^)Dk
z6187`Y%98I2H7Ml&)nNf?|%&!$MP+mL|yp7uB4x)5DF7!R8?~zH2j)~QA!UHl=eDk
zjlC%x9162N8SJ1{@juv7(ocLaKE?Ak&jbQZF2BDvv0;`cXZ5j_!vu@dx3U2~6O>0?
zJy24}iY!N-&w~#~30_4$i*pB!F*tY4ucMd+^qY670sRRgME#FydKUv`yIu#ReP1Mk
zc5a$=UolAtlnv{SIx&#?Litwp;{_rz)vrEW`WKOqHW3>7)(F*VD$lz<%o8gl6mAQv
zO%s;s%j%`9jSx7-_k>S#p3sv#tTDc3hA``Q<o#4+2>$NSKTe<Lh#0Q^+55+5iRsVt
zZ6_@Z!E?uH{=nloA|X58A$4j0rJa+y9<`LWx6&^R*3A(H{-y(o7K_CH00030{|uLR
zIMsg?$L*0lv$?MAUao7;@7t=B6m2c3R7y%|N}7l$8l)0Qv_w=YzTZlsWMmWKC)ryz
zKmVTRJm)#j=bX=Zz28UHoMBWhV?(R(==y(*S%UlTITh|d9B7w&_06x^2t7$ltRwSh
ziH@SLvjGGbviI}+<MA=VEjO8~E|=$sEmL7W1sU9k`lW%CDHawrMvfi7Fi$Ks@Y?dr
zf)|=+Go!Y~vS6|#){AR12fQCJWNMoDz$q*_>%wB8{qN-xTQN?IUF7NEN*2IwA^TRD
zhlWVs64uVq!ili|#!I`y7GbW`=KHOF15mlO0=nP1V7N}S$n};m6cheToOd*Ug7WF(
zzpA+L?d_Hsl~Pem8#yF;B{QKv!-@%;<$;50Zq1TA;&9PBVqPW0MBar&+V3TN;Jv6}
zHPa!1%pvj1k3txjP*K=XpT&=albwf-t&&1s?{U8`oD4jw(TRNOD2RjUX75F7q~TE!
zad+)CeYEeAx&D265%%V8uh2as3-aY>t*1<V{GhZB|7{Y6)xY99%%yU;o!}$5qfrlI
zA^opgdPN~q@%Vm#nF3Dz_d8}of*yXh(9~OQisRV%xoN|dN_g#lCj7I%9&}0@zf_e<
z;8dr4kk?fe7|ghRH{YxWgJ#z&UFuTM9<7g96{Loc<dnV)FFh2w>5XT^N@IN)@0FRa
zH0&7DQn+(L5Blr}c`53$xOAwtrCyhg{D;?hTfXWcX+Ud-Ld9a#7h4XWOVYqsnQ_k!
zBYoJaAJS5NAdf<)+b<fJTKK45xaMY|J{)U?owr<5#J8F&{H-P0IMh9V*eQa6?@2<(
z`;wHAy#4;A1E+OiU3dRv+9f7_2rV~YRjJ}%s>#(}6MZ~S-8hu~-T=bfYF1w)X;@n2
z)u2AYK!NqE&KP+X9*-Q5yy>Ej@ANZnt<McW7t0(enqa|sI>={xBpsxi0eqP(R5%oB
zQnN;obm!KQuhYQ!lx=$1|5#YO0u}SR#+W-DclMQz7PQ^+%J)At!gx`odEXfmgdVJ1
z&vjB8awjcKZ5`R5;`NVhpD;z6W@F6DPdZT1kD6oWu#v5pv(D(2Ioc+~Y+UAaQBuu+
z(QJZ^mY~VKzuhfiDENMO3tb;7RhnZIw=wGL^K9Jc*2ug5B&%45fxRp#nVfPq)UF*m
z^?u$4yPHNswRxE+K5P~4>dA(zV6&=JgB{vsW7luUV50JAo$&a5BYcoNol@)$q;zfh
ztgC8((e(S)oJlM=ls!MXSIZtFRi;8B3vbXe=8&8D!vH6K{aJGMKYPgbcCnwD8$dc*
zJUeMjAAjqZ&r;4iKs-+DwpRlaNB1rA&8yPElgch_!FdPNF%`>?nKKd8n7^eWToVy-
zDUpBHIpQS#)XA-3z`sek^r?wDSXT<fA76IF*2>L3oD1{A?x~_P9m+5{(!8TG#u1ta
z1}p~Kbm6n=>#`I1i!nxj9Q@*pBb2k^K2Gn`fq(vb`3X5m2xWihdb7e2DJJ)S)>djE
zEI{1Ip0)_b+9jUJb2*~1vr|P!UlYr|v|oJX!-=oSv8!pR4$zMDKR9rbj%_yEMx(_>
ziMy{?W>wlaK!!@H*C?i;`S-Z@woffYq5t<C55L*txP`siVKp@@^VR&6BKd)oPi*jZ
z07yW$zgc6Cc+*l>ny@lttsD0%N41gWo6=L?)dLb$`H88s^7wVL&QQFnkE~>cnX$b9
zq$zmrQd*3{-op_-qr>EM(csVMassiD7d<-;NaMpyabV!{F;X`$^san|9mKvk?MfSx
zK-0xo|JUos$w}Uh$E&&QFq~|7r**v;n&%By@6wwfg?Ap;>Cm(V%eh?G-B<`am;)0X
zo)cuqj#)QFcN?&lteoBu$d8m|8sEDmCrFFLn7Ka}tYIh9Tcjb!gR_UNRhk3G$&@yg
zKf?J|2(b3~QzgTR7uCtFsSo~<{Fi3<ZRRaub^2p%R@n>@Ea(_;=*bxA9Pmp;YN;ir
zWF*d96P+LgxN@EaJsKsqhR@0y-n78sIe8EBh7m%>!_%)PafIwm%M@XCnM3-;m&`93
zgM_w8{hq@q!=%iIm*F2A%<-mFVCLq>E@GWap2YOKAyT}~f^i|q3_E^jn~iX_6HR|g
zzgcw+l2u8$qSm}-SQ)oGNTsKVm|Q3RN8Nak{BvL8>_b0Oco-c0z{gij+_>S-amQ?c
z{Oc>V{z8KZrj8R2<2=6+UZD=!NlW@kt=x24+6ohl+z&XrvG*+z86NK{6W2%fl>0mX
zp^U+yWw11*#)W9UwbDCNzmI%9_e4v|${6`Bx_K=_Ib@RBKE>;tePr(#x4-BcHue`r
zX=YCqkk(V0p26~cWXFcZ``?(eaf<C{8LCoBYUl4*Wq72I^feH<JoMfOGq*;VjxLqt
z;k7R%Pl)!DvlsPSlO2t4-_$DD7`5c7rULbVo_^9Pg5b?AWx+V1W)~-aBUxuhjjiMz
zB)e~Idn&e-g`(!%+k-Ef$$7U(iIcAf$wDg|Q|Bf_+`dt&JV0+Hb5vrSxvmV6O)gPJ
zZ}<!mmvM6|2HQyAwb5DJ=Z4A3QG@#RW(KIeu-Dz=b31v`yK~df-4T+EiEI@-z=WS7
zr}e9c9pvFp-{c>(jFQpcz5L%jW+1Fgtu*^~C&^dXv&(hGKa$7oYRHBzeTYryxL<zM
zP2Q&$awoNolMOc*r>j}|kh{P3+RDma^2M7LrTnx>vaDLR!ys4>>gUh>w9_6SQ;38t
zBu$f<%HLM+uF!>gNiIi2<si91=;`a_<+G&sso;R~db&s$dy|mF946OJ+qXF@b5M+2
z`z!I`I(Wc{IOLl$LI%B-c6b!PNu6D}TDZ7h8{Z?%N`G08kr%`HJ<NN!sLZKrPi;K4
z5qEmWRLl53GF6)=$@vNo6`{tcFf7r+^15ceN53Y>tH1Thqigu6T8+222c5J~s`c%D
zX8#nq`Ju_4;^hKVj;qhk{|Yp5b*du2n>|bZy71ca`O!s`{fTjtP*+Vz&>mPPzL+Q7
zUk@h?R|`|D=)U?>3z}y4`71+3#+(#`epjvbh#2L=ZBDxosDVwP`A0ajxG4P_E2=p4
zBq-}}NyNx$z<<(Pbjvy(s$pYov{Sw$6};!vt@1)T(l5xrI7j27!Ztl)^q!Qa-i}Xk
zKR!o?aYd!rP6YwV_2R~eO<uB;OlQgTx8-zf{2>!+;k1YnFwU+J43wiBeS3mkHRw<_
zzuX%9P?$3Qu)OiYdj(1~Uq~WVoQ~}i`<w@D#Hhl^aHg%fGF5r&>D^LEIvU*+irz1h
zpv1L3i;wiEQm?x+xK|p`;V$H-EgCOL$*nk38stZ#*iMO`UH8zj-X}6}c!f0eo1AR<
z$4#f~DkiUIeWHVTH$tRFQ<ggW<IuH?Tn*~Sog0e{muTQ+?{&Tr9XaZlMKzyqlos`R
zZ(XPBga&@9PbTSXP@o3CT+*x$(V-lf6@h`jHL>eU!H%z)O4NrN8#g;d=~4C^)m<HY
z+88S(lie&;sl@DZO|dKnrLi>cSIkizWcOa>xcX0xqNfO!t@>j?ef%zXp^>czZ)w4v
z;N9xfkfV>hVl<2Ly3DIjU%`O;)e>IczjR7x((lK&$41n4_c0Y(p#iun4^+*a(4?*g
z)kfQ8v#F1{hrLf!v(Q{JEqGW)n@al6x10BgG4*!Xqq94hjlQs+Fx%HU6rX$Am&za$
zDw?*{dE0gq^p`n(=3JvkIZL}NYf~|$l<$`X6&*2yE6uGipjDqT+D~20K4(fT`TTO7
zdyWM-T4yycu47U?A5YfW-!`RuZn1V}%UR=*SLUA|Nd}aota9hMHKvq}byTxJlr5C4
zCEi%QHKdx8T(6tFFrgZwMs#910H;l>9D|)%lw6Pd(A^YcYJ1ywx)0MHyuuAP8ZNUa
z{%ui2nH8HFF89n`Zts90>%xy45*G67+8voeEXwU*$-f+yBi8t*Xv~~tQ5#o(SB)QI
zP)W|$EtG~A;!l)zN|>-H4gIm9kOUoyCbjXi=vgOh7JR_C9$-lAzxm2rNm+wBW)`O1
zUF8IEsivET+6Gh%*LNw4O{!GrXhTTvs1tG`2KZlGXHZ8KR)yO4%2H*1)%Rcj=LDOL
zl@8k}J*r@vZx`<&QR;nvdCB%PC%C@y5E}fXLmezOOO~kOpln4VMmMf-g6wy0FTHdv
z%HXc)zvQp&q}}F%C!4DsvAe!Yz4zQgACg%sKYwl|*ekOCyXNMIW4~5v?eSEnYH}w0
z20bT;Qy~dExbqzlba%)p!&Z$dKR)hGH{yb^fydh|x(<l9Pl{IBr$p)ANu4IM7kmIS
zkJWs`9%9j#PbfvmQOZMeZkl6)I2TV#KF4hjrO_q%?%mRqQ$~#J6jK;edro;89tRw*
zC0&q<l%UEQy1wncC4$14vF_1U0!?S~mOl6+Of8xel5^cIisPK8OtahU5Px=YNVg3?
zRqC{Zo|+|!^`cAYIfJ(7{M)$MOM#0z)^g+e?N_4EPb$a?6SBqI?c-@n2d2n`^G*Xp
z!J=q?z%>@Yw!z5=k!xdd!(@I*s=$E0C?>@Jq~F+OjeqHZFS~6!NUAFH!EA{LgvGXN
z@F!WJDq5oHLUsjt*i~-dl|v#3yB%E6*I|j0$aMKy$y}nu$i+IBCW7def&R0mmU!EG
z^T^!CMj|Q6QBSZ-7~}nF%_5N&5ZYTUn;QO?5YV>dX)6(iN@<=FSGPHCuk+dCN*g3>
zE?dh8{}hJrr0?u+H*@sS<OKQUMv0|4bJEf?!niS$Keyza89L}p@2T8z!lwArje9Fa
zFrb$Cp+nycDa0$aLD^}7e=gP~wMYaZSu1KUKQzT%mB6CQwsS;7!SVwi4vJ#;T($@Y
z%@pIV8z0}l#{mIpmZF}$7*6b|d1;+uf@VeM6Aq$Wczb{^H$qJu12^)6*-R5OxE#5(
z{}?x_ous$?d?Stx-toOX?~Re#P=3p&kq0KHKD5pGNFZ)QT=SXL#yF%^H?QQtheqRD
z`L7Hl!CzQVEZoD!5i4}6W$;7cgy8%`F)6f}np%}aun~Rc-N;)lL9Ds*@869@(vUrL
z^UXY)jmOJ2{MY?#5%xc`yR=nJ2L9I`anAfULYlfl%|&Nn+|tUOXmgjvWdG}XI=75q
z_%!XO#;6FURb=-|Jy?v;^?A=Y*BHSjW1oZF2Qf_T>s;L=Bo9Nmk~w)fBcyMAbvCM8
z9K1TEE%aLonA^T&t#Sto>z|l>8U87OkV4n83_=OfhZn#8na2V<<M4P<ha~8ON-c_l
zDmWmsszBud3ng~Xb_R+_!`#8_<cDEZY}G9*;f-R!Y4fq)w##Jj#WJ@Eb7~ObO5FE6
zjD?*m1Ox5kWRWlHcdtuQ9lf8uS8ct{g81|qUcb4;(CWH&GRusP5O2l0;B*$QtrJQ<
za9SRbrg~B5_i8}lz~Y=cKNo!4;49U5F-6GQzKG6D)dYL*Hqo`BMriZ?@}~8j68sUq
zuCreY>azw$UfYcDdr8yn%peu4wDSy~x79(l<%aT;1xASNDEro_tA-OxFM2jd>q39a
z=VCVpHZ+$@ucfQf5c#xNaZ8IHmY+Equ&17lmj~9dZ!4+e-l}!oI$8{@Gz@;s7hw#I
zzqdcHR9oPod1A$<Ele~`ZQ0GW(FB4IyFb6v*1#VtSB2nH2Dnpm`r=KPLM6K9afYEL
zTKaa_r3D(o;9Xt_!^sRg?doLKnP_1>Bld6yjfE!y5iP78=I9K3euQbHjh6RKYbE?x
zun+QjS9ik#zn&ktL#OG$^n8Jc#BCOih3PhNHd<m);7Px<IUUT3q{q+_STMYqzLaKQ
zjpC^&xz^9R*wZ-N=o`2&@4RE;t3z$@sajIF!&eV&y><@|(HA)P;^<6Jvn>o)R|Jap
z>!BrEw!MFuA*wD#=oRV_sO_|}c3-9s>r0uA_ePi~+UGA6WCU<<aW#Yo>LdAw(yo@3
z3>aGe?U5n@=P1>jrT~4s+uNE^=B)?c8`^pLR`w_uMeUHCKH?txJ4o2;K;k71geKZU
z!zU<MvOy1KhLa^FlbQ?n+TwUuuRVUCs@!6U9*D-RTlOW=;XBc%YD#l}U(6S;fy=sx
z%1NzfI?>S4Q~D`j!T0qD`hJy5(n0vU8yx?Jlo9%KGy4tUfYE+3GVzW!1d2mFBje=J
zYtvaW!f?Q$)mO#kPiY}J{#ehi7#S?j&^LX{=KzyO3Prn@Xktv=b*N)d0y&0{t`C&i
zqr{tAbR(Yzt`&3alRhDWvYQP`$r1K2-x?IKmr{q6c+CZ`0e<-P-gEnCV-G8@+QieR
zXo%%H_~(ujHy*c5v~YF+rW^Lr-dn0cL(|DsqhXHdJJGFG5DuLB&%}&_R|VgepBIhI
zoFMom)d)d7K;de}*qxV(5LdT3rQ9__c*L?3+piHwU|1DBTlg<h>7<MQhCw2Ea_Q%*
zC3dh}KU}WhyBJlT5pg4rdWf<aM*EzA9b$_*^8<oq;1c6e`*Tkx(R{_A`r%Sr*!4<o
zQFteXgF#Eq{dv+sa2wVn2Zh@}@cH!D5M@co4n)uy%nqU`EyTdI%o<0!7Oinh6UVoI
z?puemJBVp|M}?)lHJ;D=chMI3WUV-s)Fs|YoO#NQDcWO&k}l(oMcakZ{l!%2*WzyC
z*0OJZ=iXVO;dSdt?KO*Fu(&BkC9Rk6FOc$Wm$XE}Ga0XdZ~;tNT#0W^9Uv&JpFacq
zEwJA3M_k$*AFN~4Bs0$r5w<_aYZA)Mp^LGmycfKPX)HWLcOM~4oC8;`G&2W3-{teU
zH+j&rXg#^xVT|}unJs$sff?>ycFZcx;Kn9TV<V~6<HVxPP93wNW>5&uj5|2V1xL5N
zW+zTe5{#73%?;;F@v`V{;5vUUFg;?^R==MnbVc0M<|a(w)#w);yTB2mhyFEMevbHV
zCKb8us0n0Jjq78oI5A)w78kdi15HtXO~yxz(ZA>+p90B=7`-mJ@HkH7z1JxDdfXVx
zM(UoeEa8OMP^81Y2`)Iq4N6tdv%zo=AI+HJgs$t+@~sDW@VhT|r*0%0$+R&SRTnOl
zx7ruh{NqKu*o~#tN^E2)zxJwn&4qfIb@Z@1{P@K3cOJ|%Liu^cAKM+dQAJp7-Q~H!
zpPApq@hgmwq(OK;?&n5A{!x`UOCh{FW3p_jiv?+!?*ae4<$>>}wI45Ai{RA`{p(Iw
zS>Vpl=enEBixX#T#tL_eA^C>+-Z!Q!NGQm)KYGT8LuSgy#Tv!I#Tt8W_tg;lYdznp
z*71XOzbTtgltf)TM}MY)A(&Km;=u(Dwg#{^2OpKftG@xuQ<Dww#b!FtDt-|Zs&DLU
z>y*aXd0t};4FkyS?|0b87RE_#?VDkzWDy@=`+HY56C>L8q4EnHR7m-c3fGrIt^G^C
z`n62BMF0JL=eHO()H?3(o0Z4Zk&19OKNE6hU(MLF;&2VF?7Tgq2o87cM|*!TAa=b-
zibq`%YcGp_V~eWbVA!VZ1?dcI;J4G2@RCCI{iB+p+G_Cro?F;)pMn17@qwhb(m0{*
z#yqo`hQ6YhFXb5wNL#*l>S4%230bX+9;%~#w_ZtS3j-I9S>2h*Ta3(X6@lVeI>Pb=
zcFnSxSkjwtHT{4*E<3bG=lE)3aq<2Zhv!UiCy6N@v{c0Kbj`d#rxrZM1&UqP7(ga#
zbD^t-GKzbf`*@G&VDC_`Qje}7wm$mol*&+rNbtMb&-{95wP$XZQe<IwlCJxuG&St6
z_E<deKp%W<^71G07x>$9c<K4CG}Qf^zy8sjiR`<YB?0G*@X+Rs)1e`C476Em1%Ecc
zOEV$z-|mHdbB_+qrE8#+Pvv{P5(`})IeWJF8Dnxqj`xtKCJd7OnZjRL;5+r^i(H%u
zHn|_K&5zN-*#PNHyEhrZW7EIboqtT>BdfQ(;)^!sZfa<Gml)w-GQF$a!yIek_vW<s
z>44%G?^`a%M*W;E@6KNqIJj1Mrh!`zmoIEqdSl9l){@ol!%tg5?Rky)z`PztGxYh{
zDr^j=r?cy|ZLs>7z$e}YeN5_za*r<5U-3mF=0}Y!#!Pi3<*qQWm;T8wo-o3#*2L}=
zK?L&N(eA$%V8Y_VW1e@%Snzz3wDajDAT3$#?9Ek7ER&2=I@fCe`O>l_XRYmlUlOxY
zo=m(yP#9OfP_N^>tX6KlJ(x$^%bsa6ab<%p_v2r>`2F~C=Ecnp$eN#%u*+gVf2FL)
z#VIX>Jz%o0<~hJxLbXMSi-8rrdw2!s>9DqXpl3Vh0N1+{v4isZ2!B6Y`Iv`>F`nyM
zMaqtF%`wXM<XGUKh3y}%rAm0;;s0WOAwK`&`PLJ8I%qon;dVfaEEw`@?#*#JV$ZHr
z?p2=JXu5Qg(Z0a1)u&a`Km2gO>FeIg<_kVsp~H-$Pgw|mtI7iJU2=faxA>N|8#R!2
z^6B5Lm$}hCz3!rrfdizq)6Mn1s{>;1gf3c65dp0J^Sa;d7ktm6drLusD#Lx#?zIEN
zhM7CG`(E~V+0Nx}5u^&cHnG7cKYkH=eRFVf2uNkfm=we+A?(Nxfm`n$68S@8{mc-+
zd~v9ULzz5e-`q}p<W@ln+Mcja5Csy1Jozt~Ea*d5=AXksEhI}g#LdQrz=e`viLGCy
z@!UIFpB>Upp4gQB#BIABZd;X3{tlO1xUalk;+y}H7I8r*ABNgu$9!4En;>!Q=?~HT
z^|F(^ddB}+e~t}6T>0_YP6R$O1w>s<C+R-2%llHdHL4SBK8*hs#KAj6XP8VU*_{~6
z6QpSk8U9b_M;rOT5a@C8PVXR%c*}F&`&c2alIE7H#{<Lkw$$3s?PRv`i9D$nmMC2{
z+WPV<C;Y_bq~asnNH=1{(Rtbe=cCtq_ivgfRP$%+eyRT^uSNQ12)S8c=Ai(CmOf2P
zc?E{p**22X;!$n1RCCy~Q<`-SPY|E~+D_b}*N{i{hM#ceHpeTEfx-CHF=EoCTQo|t
zf;72ZdfsBU87!N&;jY~XL0^^Wf5g0q9O3%B?9+EsoO|3jBWO58oE;&19Ch-@>0Kea
zGt5jeazXP5Z&N?fuATi=OW_fzk@)^n#Um3K>%Cgj-PuE!Fj9Di58op$u=bD4$(bNU
z=kIREfG*;&59bNRgtvr=<VF$6YsQGsJhjAd|6gL5&uls^v4BWk8J5?%$QVX9wyA9W
z`iF4ls49$jSwb{~MosPvXCtC5QE}>YJF(5JiaNdYC(%h9_1GiC25Xa4Qo`B)2(c(m
zi6+e&LSV&(TXolrpel9gz4o^@LbCsCe9TNeF*2@nDN)`C8}ye+=B;fbIIrbgUSHir
z_zR@PK6=E$va%&af_xjHClR?rujx0jQ&#a)wFwI@+=h0-(rv`lD}furjcr7IxZ<=$
zlp$U=A3MAXZG_`&ZB#*5J8{2(QYm|DfWdU>o0k*Xh_sQswIiZ`i5rej3|+gJ`1|o-
zT?+j_LMh!Q)o*ndks|m+>$)lv;T(1LUbX)b8@!fgIc4_{FD{B#o!iX7!H^dRG+(z9
zQcAX=73e3zmu5=w-qVLq)Q?mV>JQPw8aT8gc#vqVZjj||*8>;Ng?+VS9mJE4>9AYl
zL&Wor4Tb(JJ$ULCXtZwZBsy$<{{9g?LWDiOOPHV6Mbo_bYOS6w;>STEUvkA5p-t{N
z>`|`+SyjDkyNn(}!?xF-VvZBCb$gofOm%QZYOZm6S|72ac{1~=%_K4OqyJLSZEbW-
zWj*w27$8OiI&0&CrU`GgL*nssS}3~IzqdtWh;Za}&pJ9XOYC+D)z;px1-Zq`HdLM&
zCRRMUDxR>00~Z|=be)?Pc%c5wVQy-KF#lk#WM9S!`@(<5D(f_{ZcqK}tHd$ls+IK~
zw?o`G#<BNa?@tW`no?0O{l^Ku9<8|dR=i;Cu^FFPuK{mqwNtA8lSG6<#L5;nKbEi0
z&&X`0!){YR&cozs;?sqak)vA$!L`=vSm+Tt%<tPsdWp>uYCdJ(lSv`;E*`w3AVSBI
zuZ*FyTRA}gW*R-WO%x8AJlxC-b?~k!`Os3$iFo_+;ja(GF}Ig}=Y^*_K5XpcwK~d;
z2fe1nf6XLu@rp?N7jbpeRaz;y*zm&qpvS=KF)6eT&AqArNyDB}eL4As{&+WkP<zxO
zg9DSh${r-spfLE#R$xJI2}>7LJegb!U$eVUndfQv5dZ0N!CN5=hiq@RUaEkj9{C!a
zM``%ozR2HsjVR6~rswFFC}C{de2DUC8d#A+T3)xsQ6oE@L5ozyGk29y#RM9@Idms3
z*OA0vg`Yp$nFhCh>aAlP4L*UCqI`=Kb~vol_|~otJI$K+N#^SC;CZ|2Xub@(YRY0B
zKGJ~ozan8(QXN(yqgU#S7UQ0JY{}P9Ep(6V(vJ<K<9`4E0RR6Cmv=ap4HU-B$llp|
zy|3{Odp_s2Dj6w7Mrmk}$S7^2K~^+KDj_L_e5H~+hlUbKDqEp}tnBUU|8rgEI_p07
z&#5E#;z2f9kg&_#pm$yyj*F|+*6&b<9Jfoq+jq-D#mjXm?)Ru*-oG_3HAMsTzW*5O
zTTp}>w`9dW_UgjM2HBj$+*+{deeYJ4Ze_UbkbkJ0MuWWn$c~~9+Q9akP>%Le1<7BZ
z=_1v1=-Zr{pD;-U3G)oet9@#4q0DjUaX$l?pCo<0#_ECW%Ib8LI1O+;Wch8J+W>Yy
zYFPLQbcit+KWJsB1sk`#t*hiWgt50nD!b+w;QQmlW#eDkU^d9lHauhq+o~EB8iozv
zN5B^ur^{4`@ExhSe%%P}d5F~c$Qi>L|6eJ$jCJ9o-NSA3e8xcO(@j-5VhYL28vZ+8
z=s_tp+WEYuG2DoD__<-h94>9Txn4((21W9c%N;#Nuqx2qVdkP0+~Mi{zC)P~+&NCY
z>BdHoWd2M?QxYIKeVtim3LVC-#CHWL8bU*U$-d<cEGRs_fG0oGf#R~VG4BQw#BOqV
z=^wIzLq$$)ulnhbc)B6J@Fg9tj%xi84YdWMXUPP;jt<636N()+dZ4*^zRkwc4j4V5
zyE%^0VV@d0VU9LLSemS8ueSrrJS)z2lm?mo-*eTzslk6zG9$+7_K+J)ANZc458}P;
z&+qsu!mR$g(<@l^kP)S%_NZGI1Rrd^)Dt5KrJQS>N-6eGygU)J_1}D`W&=W@Lwq32
z8LQ&(%MP9>i<h*uYXeuLV#S`Dvji<ZYZEof4)8+#2gQ6%_`c(9`PyIQ#LkpEm;SQZ
z!L6+0yB2q<gZNL6SEDn3Nhp&t-G9&)Ql0(sywy};>Pw5q_xEfluK8t3qSXd;*RE?m
z^-T$!<ytAb>Q>;D=CPfhtZabQ*RZrDPY#}owhYKy^P}{pwLEjVENFTz^X5R#D$pKa
zMhNT@!i`t^nJ0u;P(5sQEV@S=!dycAy$KO4`v5DbrvUym^{r3YCjtwrEmMMjh~N?C
z!p80)0_M5v56p)0fnY@-ecD_US9PBFU_WRLVx0ke$8))$&`mM7%2O1XpH(kxn6-is
z+ifFN<Pxzu@Y<IyS5c%Hj&*uUSb;?5^ROeVNrLPcX`ay+#q!gSUhlTFgmYqMKX!%n
z6Gl~aKCjqCQA{#W_+W?yu#_*yFkC+qEza)WBN|1}UVmr&fnsx*c-k|Uy{&@G47u``
zep>`>&nrakoiT%+Lxy=Z`QOOTj7s1AF(Rm8vDPov(G1St82xJ3HbB1N_i$JnB!b%e
z@e#*uQ*fGbD);dpBWHgoh;{B2!4w<PbuEu6@CFoL3HvogTAcf+7JOI)eMas|w1k*I
zJwA1F<(wxEdSn(AW{TjG@{9M@bsK}=$@lxx>zBxl$-y%9O(LjCKR>j^(-^AD1x&wE
z*-^Lp=lU0FqS!hIM;g8uf%_F4*!+b9%TMUC=n0~z`qb}i(iS72q~GJW3*y4@C-+Z3
z<rBkW2f0k+dJQ3C&9nvAEH@5GXlOR)h#@0E)&F&vA#{XGvK>9igRkqKQFz?N@!RjG
zUEX|#P#bK$D9pJME7z{x`&v-~$E()ph21d#nTeHVuM_xC`YNGznNt!?qFz+kt}}q5
ztF&rU1p)lyK6i<oQwr&gV}YxtnBe}fpY`auApYJZb1O?>6^1SU7v@;N1mT+z+(v=I
z7$qcrZ*HSB1|L0^?zDpm2Mjn8pQVeS>&v0A!h9JdZ0k~T)R{1&zmjYGj3{y_b9K|C
z<nWjlCG+<P1IBl(j_i#VL-uGstHB(36i^(HXn4f{<;?m*o+NQxx+YO3<*bM-lSMAg
zJO)&MD>5oCkU)=9uWHxxDI<d`*7I{R15(3t1!-R;@ubDaofj6AQMU5cz0NZXh}=3@
zwO?u#Iv)1b{IZ~e&+V5iwx4IfhONuOwgJ+3&3WRkC!ZP$2u?lAxXu8|UfJu`pJeds
zXgvF{nmVo#5!(6%8PL}DBK@k19P%I9!5CPrfwVWX?~hJ0Ks(Y-jq*(%vpke)_`)@D
zl*r<mwq!!}b|PbStRi0B9+c&MTMO;7pB9&8Fd^PbbF5Qd87q470~K1dv3cq2f&`xd
zT$twfbY)Y)58e|w#XM9@>rfANNHYKq7O%<80TsOBEB!i3Uk6o^g><c%hESsH!^_d8
zipk#vQ&&3Z;=!@Bs-yu!xb!$RSg%eEN$$$AW(Pfd(GjQ!&y9c;wAszIQXRwK2BlbA
zA01p|ydUNogKSc+Fy8|Wyp}w;uDVAbdpc&AyK_uHE9QV&<RwkKG9NQ5u%Ct$r|Y|a
zKQaY}-K4u&h!(E>e$Ds&a~jHq6X)}r&A_*fIFn$Zjo$(qcMH|ha4Vle&KS1^{JAn>
z8}e5h56&xH-g$wBN}OYp9Ojm=p+H09TOtK_Xm8Dm=A+^1%7HZsK~`XM%u$zfB^AS$
zs<M9?>tk)ZT2E`bH53UJ=bqY5MbDtPyK7hJAxFga?ATHQI(JEQm8DU!DJJ|uXNeBJ
z*(7`GjTeApXz46}CKb2Mz-FcZ6~9gG5aX=}u=PD<BYlX9(cQhg4TjoSRjqeNRgVSR
zl$8?dHK~~7FGD$Ms)-LiY6VP0vS3f@!rQ0^6s(jwI=Wg@9Rre>Vphd0Sff*_)h<B6
z#yk<7WI<K*ZqQFIXkfvs8ZOEI)@Y-0h#OSSD&cdV=EE=BSTLLMrM}T$3s(=CjcnqO
zM;2;^b~LhJx5N#F`};IeLrBNb(oq_>dp%NaDPsXAyU4htmj-rND||`rmO$-=Rri+?
zSdikYDnDbXj&@6rrg@q~G2z4V<#!wZ>A98%MMzo=_u9BwTw5cAJ6FuxKM`R;&W(<w
zl2H}py&AiX`d}r>a|~5#y#~;yT<3W3UKtZ?Z+`syfg8t;*L2&40kGF9KKAlb!nk*<
zyPxNBpurQH;bD1zxSV}T9t;H>JFoX6SAh+AD8lK{=Ll%>Tx{=Fk;4$)mxR@p1=8b*
zk)qHiYxwE5`mqIF22bi|cOO4BOU`&MSX`E~2G^hyJA${ZLe;Ga>wFTY$==5IQ^o#P
z@afn>OZY=cWY6<_Rkv-5G!f|uPkm?!ksGJ{Jhdcng`;e}Q^zD35aKZ?!)6K7pZUUe
zREeQ)ME|Wrzb8q0TpXj%%>rVo(~Yf9iDL9mE~ZVu6xsKDNN(R9b7+m_U?}*BV9$dV
zX<@f%vgPmD@E>gEkW|!twdl1F%J-=(o=cb^{grCN&TTb=O_#102nq;d1$(SRkiZ<N
zxH)4*5SoJfkNp{Nfgd|AmNdD&n<p7z$EbOlrl9lnW|@F1AGR21#JZI)k~cC`pBbi_
zzy+45u%Z1*l-aO`zovDWe6Ux2MwQJ3vTSyHrUdh%`kI+t9AfO)>#^1>G|U)Eiq@#B
zzURS;Xum!2>o`#TnRlJ$A0u!JP1K@p;z4#5%_6g_oTzBrdU*97Bhd7q@1pYapv#+w
z`iJMau*y;?x9hhd6cj`Zj}5Fq(aXU-jIb5B{L6pi{C-0SFRA%^du#<h7H>EC#LkOb
z%^W04rwkx{t}V7)nFj+J%7eA<u0-SbOTQG(7=VY*)fbClJh=4R`RLX_e%$Bym9|~l
z00M)%kEZ?M!T5u<U;j7?;%6tv*8CDCY>F}y7(L62)(cYo=N*Mnk}7dV&4meNKZ8ZS
z|La4UbkF7VG7)sE+B_xomjN!{Zl)j8=ELJRV`>-MMDf=B>xK1K8DKO#n59MI$K%au
zX7Uo^*jJJ9FlP+|q~_&6UhopYjc3fKb9YK$2LFYJ>`QcD6HC9CUnq#TcLb?8y_dw~
zPt}(D%IR>c=F#FMHDP=w)w=$j(<*d6SG*zUBpodG7u0rb7r{=`?CR=%X&jTjBv<Z8
zhxac%44WN9vFc8I{Ht796!a*4C-u+2`m9NePGE`Qt_A9n-tm8bO7NjX;}Q+Ttq!?&
zZV<=a!TBk2;fgrk$oo2=i3SS725H5|Byg{MXN-n}GWPJDi*ZI8oY0UdXs?h&X5ZzT
z$9JfpIx~4v>Mae9-!3;(U$qJk{a#_)k*tb0di`S`4$(lYy!5Ghf;4ih^V)v1Rt?2n
zl`l|a>5z7bvD->U79(q4T)Qlxfj>O*Yo5E(L2x&&Jys=$b4pBso&ZfeMNd`<xJri|
zf+aP_Vik~ox%k1?S}jbBsBBZ2r9(*ZlZtg)l`!N$U}HU<f<DPAJ)c4t@OAtxQ>8!|
z?+0v<=gOdB_S$IH77ivDc>fo%zfc9+0-HMy&FLU3PwwK@VkT4-U6h9>s@TtWO|EXe
z9_|#4D`g%r0K2fJ9*cKs80X>`x-Ly0Lt5{pUGp=9oXqho_bzo5$>!1=eMG~zYr{RR
z`y0V+nv!(Q*uQ#=e7ZkurenKMON!MwW9YU1&JyR)LcQ$YL&Q@$x(q(J?eNkB#P29s
zaPnxQe#(xp`WZT^eq|REmokHG0aBAy^V%4&nR{D}7z3x9@2CVEHHU45oa?ySC|I<v
z<Q$8gf$rybc^~PwfY{MG9*1jGY}xGd^fJ=XG)Iba(#r}e*YkDCnEm^^?m;6xE_B=@
zaC>(5Yik(l=cdIy(7|>d{*fV18eZFT>GWn{fWuprOe4m1kgEOrsQgnsH1PLJaxDUA
zzv!sO#iRRgUO}A?U+Z9m`eWN)<}BF9`o;Y7QwMjkR4XGdP_SMyL|XnK3tDFv;~u2w
z;HDFl*nFxM3flV5%nRDU@zME_huk`7u_I>h;R1DJcd-m<aJ7M&v-yvi>!>*S!I&dM
zQ5E$&%?~jCag*%H0cT!+3QB%UOwwa1p@UzS#$xopc>eF?rY+idXQm`d>y#`~ygWn{
zBW%F6qNzZIriJ{?Y&Lhrq;Sqq>8Ilc8`z-{V$e6FfdapzIIjtdp;4Yy`V)B@IC(&!
zh;dyV=i}eL*~uk{JfY?<-!-!!!_{}n*zVuHQcE4QzO6uQ2Yri{vn(jGY&?IpUj?-n
z%}@Mzz>fMgdbxADEXdZ{oyoYUj0*<`_2S>pkr|<B!2@*wQfn<odJ+_IQJ}T3dtjU_
ztbAKHz87H9<ap{6etDePxADko#UV1T-_~`U13*B2o3H4788n*AW#o$gB<0l>e4m*T
zP!~{^7I<(K`W@GNomAXKeiU3apS0f^-X1@AqI|0)I&=?9rYbj+lYyJxPUTp^n?1+o
zvLnQCOOwAgZ__8T^ITsPZ>J?hec^R0C=*4sW0w=#>5XLmjCSZDIZH59$h><<MFh7+
zzuob^tdV^7o>!o7s|ARjlJ({c5JWD6^sYM-P2?|Wd7>lV9JpKCD-VC;LspsByNij<
zWQ=e|k=%qC93Fel6?u~v<(2i06f-)=<9zcnI~~k`@7$~36}MNQgn)&!S<`oN8{<*(
z_3Ne((D40W)eslnqL*(E>+B_ylb07C%>MIlZ+--igmPk<e$~2Ajo;+3>)Q8WUM9f&
z@aRA_odXAVyG9w_7$C<!*?y@fjbWR7|Jfc@cC?<PrSK5Lq=V-N|163z)E+!xW@^ud
zOLYz#g4q9(L2oO!R;L@mF8f<@lUmDUbI65HP2*#vOmq294L&0n6kj87aMco7@hp7p
z?9>GLTJ02;L>Yq6O3kVl8y3mJh6!$(z%-e^F8s{;c>^e$@tKJDyg=?tiO#%hG)q!$
z3zbj((+%M-BNEf;3#4DXf2!}HdD7v{o6(E~Cd}swWN*8=K<Y5EI(r)zNlGBkI6amL
zJAIQp6TU2vdhZX#GBw#S-s;tIg&-3uw!~-)IWCgUVY>zFBiM1}FLe#bV!*jbc^Cc3
zMe@k$TL#ZsIIzYxw7goM0c>pS>$|=zkr_78d7C$KA?J?yr46s?u*$_#;>n+7(vQ4&
zSgwy7C0Z+cxc%rr`*>3K$Tc>ssNr~Jk;#K$4t5J8i!^Ytyw<|>VaLB!dj?g4RwAYP
z^oi?sG#Dz#<s(fwaKHMLN$@UyR8}g?4!fieWLV6C0+SQR!%D0dVg)hlr`*N<Aw77@
zeylfrEf=nLd2^$sK^R+GpRY@E(*vU_Bb(<@+z0{3?yGBxV#+;#9Tn6C>kv;h@75J~
za*JVH&q*;<GL+jIY_1FZ!8UA3n|Se5kiyMF6XJM&&4O@Dl@1sVG;-!ouSE5;<{7Mb
zNwlYmpH1DY19uXPStix|$Pjr}T1c$Ij6=ohqVrU6H?QBq`&1BzyNgL_Ss4toD&PLJ
zgbL9SUH!rx!sxdmbz`&aKR?*DoSb-s3bukG5s#$*aqq)(JuB@L(5jZx>5m5$jI8|F
zb9}{cFIW+A=}MUO>5tuI7b-k+kFVWVDUMZFDV^T@DmbDtf9I(m6$CnbV=^oy@xbLx
zb2{5qac6M*p1D*i!0GTeS*=niz@=rVQm=+b8hrj9|3!t>hAloNSER92s4O7KMFYRE
zO9%Gs(1G(-PQ>$YS$sDxpEupBiAF98y{iRufz>*9h!!r7IToJPz2~)&r#N8Qs81Kp
zbR8S-xTJ{Fo_RHC1QoZWdG^OF=)vQ+=fb-Jlu<SJ2v6mL4mKY7Z<n$w4LU_Tk9cLO
zpwPX*&u-84uspxSp)ZsUg_p`7P?}XS!ZT2x7D~gGonbSbI~Z^@o#(|%MRnA-zwmDP
zJROf8th*R`gbC|yn<^dzY5e0&*3u;>2Hprecemn+0ciSn-1jCmG5+z1s>MkLmWYP0
zi&ij#s!W!UypT5Xd8}?qILX8by9nOb1;+4mpQxL}Mha%Fdd{!X$;A2Vf}j01nL>Yh
z;-yVzsp#AA-{@;z1Ed{@X}vFR4swz`)gm`_a522rIe3<draI|^9+MUz6;#$Xd{Gw*
zc3VyTC}1MRnfp>~lNC5O<aQ-_>tVu_?5iSiCW;wt7c;#}z`L;5@$y4@=sPa$(QU@S
zyKW+#*Zu?0q8OauVd<m9dCQkKl<3$pK^qb~#exIkzuR)%^zn?&p@VBP^-$ILNyP}w
z1`g{U+)m2r<NW82{`@Q|T8Z(!-HSHxIbnHm>4qNK7N^<l-Km8a&DoB}>Doen!A6z&
zPF<Y47j9@Tq>hZpP1aGNwh&=!-znaugDLUU69pB@=xg%S`B9oJWD7c4bKariO}-D#
zBa(91c3Zt6I>i=h$M!1`HWU=}-+pmfSrQ*VeBAkAzbzaV5mL7)*TT$4FIt3;2xCjY
zc-RS=Eo5|g1%8(K$N%OcIUnb^@y2xArS=XR&{gWWx;IcA74ioLOdigYlEG1$nn!J*
znJU<m`BW8q+rvtOtp>?_Es?!C0yeOB1B;_&r3wyOix)K4yd@QhZG9r?EQq+(B<oS9
zh^1P^+}eA;5^9D63ucNe=zP%~>6b5umX)-kn5aG?)b07T)p-B~6-;-dd(!CY(DqY9
z{V!n@9cxC>0dW4ITynot5}Oikp72hYAaLXKkD$E-I5Lfy-ge@6Cn|bYpk|7oe=z!f
zJ<1viFRGA(-~Msa=d1CrR?ZM&Pg+`fZ(6~w*HXMoeuB7h!r8+=d4}Nbz47ho8%t=<
z;+r4Zw-R*(M6AbRX9%^+0TCwu_9uQAMz4M4#>J3Fb#0<E#28PNzom`^WYhBhE4amh
zr}Jd`(><pN-NAbQQ+v%}^YU-?JMqh8D5q&*Naz$1VdC&4@4gwh%t-m)51k{M{zN@;
z3ZEo23_K0iPMgBX>b3sfqm!iWwGOV>0~5q65l#`lHKy=fX8XnbiN7Q%(d&LKXq@oh
zOgR&O!vwOG7)zPGgXG5mhx&!1V}whTIUJlbhB-}TEyKsZ$kCE$>A35Ei5!)hZDHQV
z5PV;%P{O{OjPYEB@@=C;e(GG5W0etnviekZce;f%d--O7&v2CJ@cPVpreg%FMfWSj
zpZiG8T$}a$<uyW_b~8O5pJ@oTL(7qMYSpCYwtMBeDZ>QK_VMlnK|@FkTi{Ac%O%gm
zw9n|T7$&U3*q&TEZ2+089sTcA7ZRxh+*&(vh*)vd<?E?sCK!fu?p4mHBBGqnb-j5p
zL^#Dfqv@Pv!kZ@<+MH|N6EjZ(9%w8L5x3lHu0^sjA;U7-tx)<Ck?I_H(k*(JI7$)j
zcRI^}Q2|3;WB5wY4T`S0t{x$Nig`q(2s407<O$nT{Wc<rXK<ah_9&q!^InCTMTh9r
zviC=(Itj-+R}w#e7$qhXzCPvEr2|X)zgdOP--+h>Ct1=Ne+ks;jANdp!P!Ycp^Cdb
zL}L2uNuD!f#P&3ky!3neaD=TuWPR)p!skl=hv_Th#E-W=k{X?Qa3SOm_k%sZ2(wt>
z<gA7XVwUYd_De}U*yOkCoR4oGA*(q3QiL%@aCGRj`?>4Fa<pZ~vw#7jpevHE<Ha<w
zIPCv$Btr)T>y;b$uM86T9g%!<k+a0YyMto;dZ}=R-#qC0&tc+3O?Owf|2)yNR;a$t
zfC_Gb%#nfOQNl%~VlF9ekr*u>%vL>5fme4qU)|vzBQnPg@1Fj-OvrSpq#XOD4V=W1
z`{Bdm#M^d>^ig1k-52;H#@A@W8_5+P=XocI4@Zh#6g}jCJqk_Br4O~hTbnCFta6G7
zJgB9szlIB_*$-BZDQiLIuwGnO<_s|~ee~Nb&k9)l;~Oz|MHAR;+6+JE&Jj;e4WF5x
z;DM%qb=f)+nvh#{!Q*A;0>R8f(<pI1$Ua?uZYe_p)PHS~>TzBsUM4&UvD_;F1^!UY
zr>OxFm-7<;EU-a_0%yL<j1YtmScM5xr~_OcOzaNh0N?K3KR17ffbO}%9e=#l;b!~t
zeRW|j=*t~F92Fu4857JsFIT9;^~+Ywb)UE)G;yrquc`!OWS-qH{6Y<Q@4l2{R`I~H
zwQjJ(vLsyimX$0Vs|FADWw|eYTM0G|B~Bx}(s0bY=%R|J8kEWT8A%!lz+g;XWq_?L
z^l%ZbX9zX;)bi3!nG}Nh+*^BeO66g?V)J2fOEs{q-`;=hl?d!x6ulqrsRZwZ3og>!
z)SzRrzp>U)3}o#K>o3WxK(%*=Nk@zt82tjng$Z#OEpA<JU#JQzUw;T~_@V|uQvtFk
zUrWN@iRr#!Pj$F>L*VThS9M@(o~lc&Tm=qIow+A9G~wHyWO27Cb-4S*r&6;=1_XEB
zywfYJ4W1v5?cdg@0Yk0JrFR+fFra)jwoH-=T#1>XkNPxWnInPY%>zYH^{RJoVCq7S
z{)I3>du`A#dzQ*ys0@8IU-Rnx^daimpL_Wu6tIjJe78$N6}-gw{no6bL-z3S(3ihD
zP%>9KD4D7TKPQ4uec#D|i|Tn22i*0cywT&njG_jNzsc6p3uQu|!@hUHDRj7CKjE@e
zrU}$k)gFue1`u&4w4O(Y2_hL?f%i6PgR-~rYf}e9Nd3(IEqu`c{Mf43)5j>VKi1+F
zju}E!qW+K{moZc^rITL7=)mf6&*up{jUd^#`CgluDQthl^eda!1%o{i=BLgZ!A!U2
zbm2wwf4=v0n812{xCvt%s@_K6WiZ*t%V`DaGKU|wAEbfFWaReEb%t<H_j2-w@PGVe
zXTouZLI<|?Kz^Av19&@f+{d~f;7Qn(uJ$lGTrpqd9XQK`+605vId&VU-Iy1@JB<#q
z@)d`Ub<m+wO<r$!#s=m~d-rxn(;?BNvF_nlJ-Fv)uOjox78=?64vMqr&=zUF(3?g9
zTdn5ro<4SPx0K;ypF;z>$$F2YN*ZwG*^eKzN;|mPHXP0ws1JNsuh=yfDT5rx(-%wq
zcA%e}W^Vjj7asqneSO>^4cP?(tMYs8pz(*3&SiBS&<p<AEz2zmkNdqIJ$z^faS9F9
zN0=1&bo^BI6EQAGAHA()|1a;@X0^9B|J}EkS7Wo1#3*s-uBAQCpe;PD4Ji{@QU_^|
zVe8X^AIT5%UZmwdTR37FA>iJk3W4n(&$io7klnS7eAIRuFj`#tI9RR>l&$tNH)7cE
zHG}BJ)i$8Y{&BC>Rs|?;k^M8jnHzf}dx{eOV}Vb&_w&}nGC=+Hx4yoe7pY_%<-H0E
zmQEh8kExS{m1~ZMzjflrqBA$YUcUrjUR_q|wL=UlSXP3~-2#|x$}wXn2++uV{Z2!q
z5X=aclPl^4@!nCdtWs$L`c8M!eam>^Oq@hRo|zD;YE*|Vs#!yT;>eBIqnxmP_fr{N
zCn2=il6YFy(h4?Yr)BY<S|m!<#ga-?g>Xd6q1eyQ5;{(!isk$S;pqIMA@PeKe%h&i
zZ7#(E?#oGTds8$(oG}{hq(lm$qhFjKcda?3g2J1HrB-5yIFVT+BZz|Wq*9)sIefn%
zv!F4PPVDQyvcdF?0Jb_DIL+^62KJ97lPW?#lTn^_2jb2O;O6|Cd*_Nw!QDB@rBD0^
z`D9K`^ul%ltaAS2dXmo+`tG@{@|+qZOKNJC4)_RQeU)*=fglq&9P-FMJ!Xvj9{>RV
z{|uLRJk@U$$L;KO?Y%G8#T~Y|$Eu8m$Vg@xiO7nO6p_&o(G*cK8dfO2k5XhMD>Hlk
z$}CjM&%fvOygtu4ujicS{W&<T%u_$kaiTV5ve$B-HpCjIy>}w7W3R@%mw#ZKh<>tq
z>%|^z$T9fi5s>u@v(+2fxUR;9xKv-c1i#S&o>R2^+;>}8>KmDnfcIRep|j!vtF9I>
z8t6F|yxYd^rjOQ6CUGPCDvc1w8ch&y?uz0#OpkC;Zuzp2JSgpL!SWH%ggb`S?bg){
z=wJ)o*L*8p<g`(QF}72|Oh43WU6ctK@ye;1uJWRk-qo65H!8$;7sxO~Gb7>K)hV1W
z`B2=J;cCMM1uD1OT=^zh5V^z3wJeDrIkoJUmA*xRSo5-}v$m{AccqBoS0oPU9&!zC
z(x<=%!)K4ZpV?3>i~8SJ2?8k5ChRHe3>h|=dBvUFIZ&)&(Z??(f`}OxbKfMJ40hof
z68217=)PQm$^K;_WOY=2d(MUog=Thfb%+~XZV@@bZzF<aEFF#~;K&f<1GG?UUX&$%
z1t-xdiWDR+$JdOI;Bhe581p_pB&OIJX?<E8ok;6`V*HW>6P$+qckKAleDV)h527TB
z_Znm0xJrVJmWj0d5FBcmt{WR+mqt}z(<ohMNx&#(-WvH>0NH+x@!E)&LF!uF6W{zv
zaLjjK)WJnTWU;JwDnCOO>3T;7UkW6F+m+Qcb!%Z1Gj@odu0js!*e>w@ys)EhzBgwE
ziJ*{!rpCkxc_g*15&t%i1g-{If48i~P}Z}3q$Wv4G_bEQDY=gXC?fuK*0MMvj9MhO
zolrs+S(@gIQe@Cncyaecu_XGGU%M4jfk#peF}Ie^kwI?0b2KVi8l4V_tmI}>L9^<*
zmOM*j7>a%IQu?I~y1qI~n{go^itk}%wrC0{oPHfCUMh=Lyy@L#N>$Orw$$PM@>F0s
zJ<t^PLJqY**)v(PL_{7;ew4LoDqI&C5}c@(M}8JjZ%ifCQK1}jYht4&Tx7h`9`a5B
z?IZr^KS$I+#7=VhSiKfZ+F0vmv?-#QLH@=VHWKRFyYhabTN_4ank?x$l~C~2BEuz5
z5;{EIeBdCxF5Jx?3;*1VM@M|rTt)Ab&_~Wk+P6&gK;uNy&5W1IXh_X3;Y%3_#T{h)
zT$`y65hgbc&%~>skTKKgw>cyvSz^w3c*Ovy?FogR20L};jJOuKlhBXT8TOA37(#FD
ztA-1m1oZsaFzTGuK=ntmVpj8wK(afi@raQss=gtO8!cByMT^bXR~BfHQu;bw?}91{
z6}8a3M^Hm9Y+i9iDF8~re%RA=RaAKCJth5!D(cD1wyxtfhD(2S=rcl8k=$7Sq@jrl
zqG&#_-W6vIfos8gugIyQm9)SSHF`X<ZSGrZ9WaKLH;X)74+&^{(yOK=UjcCj3{y^t
zngB*Pb=!Sqr>>tlxvMleG^%k{EQDqPUNYK;^F&n8_JPS$)Q{3A<VE(ybZZmPA9wQ7
zmQY5!FE<Grn2RHSLQZLri3yP6F5O6Hz@ydM*~x=k!pQ%V;jUnL6Nu0@`tM<vB8oWJ
z>#VAcLkq@#q(WDXVIQ~qYxkQ9s7%ZxtTuxOd5V>nB$w^v|Hh;;-AW!gKE`nzf5?Wi
z4_@8>-rE>Na*~(A=;cuAjQdpEH6~<fdhZ?szcKKv#qnm>${?P~v-sCX=@3!<g>F|B
zKxCpn|CtRbl-cF+7^Z(=;;r9%PB;K4ys~~7c|!tS&#rl1cjX6`73J8>^B)b0&Tj;G
zS%{(AdM9*)BA2oG1ANK0iZnPMcgv(kUIazr%dA~+|6%y+|H?nO8G+7LT~)HY5b_9W
z?HiPx#SjOfkM*7*Sji9cKeH4-n}1Kl<#kSB(OL4j#zVV-xybhTx7+-vT{bf9z`!IH
z^y!hXzSM5uTB(Ru<KshJat803|4w2O_m-JLybNG=>jAj9@t{L(q5Zd5r?HS|j=wrD
z^?_7*(CP3TC$f%`;Vf>O!S<_XH9n))2kX+Y2P-w~XqhVYb4p<zt5g$nnY7mfev1pz
zXFFMu@Q-4Z6Knrre6K7NKEKd~N#m1*0sJoH4Dtuw%Pe94I(iaM^5_B`7m@47Yi8t;
zdBv`D{|a_FSEeI7SO*HmVt<t+F(C^Hy^mU|YgjP{&DUa38$!pA61kEY(e|RoI8ykD
zUBom<-aCA0>7NO;f5U(pgVm{1IvZI0DT%3}DlO>NG1TCfU_g2#UT5t1FHA?DPU?=T
z792LAl!-s4N7dAq@>t;?Ox%dHc{5)VhCfFNK5?K&Eq}8${aF8DDq4#dk*p?I`x}ay
ztJ9-#6VLs3P3X|y;ABPdM^pe9ADY6`qjkmTV(JZgBsJ>v?~yVUD(lZKb(_$m%r%vZ
zn=1@R(=+X$dl>};aO->OV(1aunYx1%A0|{D<HP6-6wqt`?)>BnJu*JjRuj0!jE-`#
z9xCV}LzAdq|H?rIw01`BcI@q4Nbp8ooWn^n*Z^8UrN1Zm{5?FwfcVbK-S<DnhH8%(
ztlnTE1Kr`-Z#{Py5t}A~<s6LzoqoYcJ)cj4^Haf#T>(re@#505%pNX8@0W4rkOc{1
zPhF~9cVkA+2FvoeLV1wtc9L%Tj0RY*N#<z<v!K7S1o5jgyhyuP<3WJA2E5_+pK34I
zg|1z1`t_8+kC<7Sq*tD+L)+76XVWcK)U9n{7?gxVzwtf|ba-_be?0fY`7Ap!yw*Cw
z$RLPRBP@@V6stkUE_NevQBL%|BX~CLwh*fQ(xRtLQv*4jfAw!Bxe(PlSBtvCLHXgm
zeqxhEs4V8ZTQb0do}}OW#G)#Owr!G|gl-cdMB~U@{XbrGJzkK!p)7$6D|@1;$BD3#
z5dL^knID;(Emu}rOCf2cm`|;yL@-{@3PAoiG?yu4*J>q$ip!I#ZW$6Gow?8}sZ{`}
z2ERAZOprzY9#y12vn7JIjC@SO9wEg3nt$)ZE;&@9y~dJtg$Vru4Wk`jh0z(wc>DvZ
z0&3Y4o<!TpGhj{i=I%^U#5vG=L+ptnGU>{CP3NTs`%4&3Tl$G3$~MD2swy4@tTc<I
z<J7@H-=OM;izIRrXPafNQ${z}o?}1O)PX_Z)oNOxG%D$E;SO^oAf?{k#wW}q;5J^`
z{LmqT#z=4MS2tAAIm(dsvF9YX(J67FbX69)H+MhWlc9zVw$VF>M3O<e_*2hiS$Pz6
zwp7bUK?CK9r8-V~QD9y6V8UHT1vHJvem*}yLLD`lcbLMd@cVdprEP{HqUB0%YW&*a
zi?6Z2dXXmV<D4hU?Qo4zEkh?dnT)D+3>1UuwLz$sb1ITW8R3U-aCZDAqbc)veeFmc
zIM2!^-$PPC)7`5<S|$|a8K$!_!>I=kDj1)%?<F9X^%;95Ckh&zH+)`SsSn;OA9&nM
zRng;ghfjDt3NlFU9jx)&4evYx6R6@ulrL!}ertq`mZvkDn`Mk(Qh~ZE-b6%p{w%xP
z%*cp#$YjB?l?F#<4lrcX)R1<K;jQe`B$Rd`#@z22!0vdx6Tauw(78VrT)7SEDDXcW
z36T@Vu>MF$N;Fmt5#0<<{xByZ)A>QadO8ybxrhH0w4-BrWBAfotO{aFIa&B1)&!o~
z{YWmyh{!!ObVTKf5|W)Aki9ix0&(92dP^CIsO8#&O3xU1<a6(dzk{eL#NX3lPT*2S
z>D>xy@n>bwX3NJ{epFKs2@{&IomD}<cI}Etlom(mLlWbrnkn>3N6P1AE2D<UN0(>H
z1<_^o!sou6rf_KA$>om(JhCjy;Us?KMRxk%Cf2%4U{v<NbJv|dvv+p?Q#QehGNYqb
zR4$vq#mDO80$~Ld(Kk_h(w82|F8^7*N-%){Ibsh!eury;I{sHo*D-(f3iAVv#&GDP
zruC^GGDz>;cs^l!7K>GQ#mnws3@INknI?`%p`QN1^o4>B>~KawcH=a_#AbPI@{WHS
z_WWICgx=B01qa2y1_SU;&3?YEB8rq4*_=vl57W*)zwlXx4&XdC>8yHH2!&?*h3S5q
zqGfi|IEo}`z`ry!Rw*lh*e)}sNba4dN$)FPeL*vV`W~yH-_v|3$S9Do*!mxBOfucz
zl#e0Y)03QdQpJN7Og9<N4S%B*otq<^$=nSij@QP2(Q_ib!NPZ@?cZqF&EzHe76T}$
zb$R-%h!x4zdh0Yy|3|xGt|u$QYyeonB^9d@W<=sQC1`pq&_;I$XFu7a4+nmYI!Dnn
zqRU6;TfPL&(IOt)h;q5A2jSrzjNbWlXm7869z}PCme&}S`e#TNnChx?#w7n@sh1Cs
z1NtXvttmc8M?)7_7|cay!hT_McQkEp`;626%;fTXOw<9K=bNk#X6smEOqWRg_Yqp4
zhJl&iv^L1R3~V1ezlO0A?<Vsr4$xL>>b-{cYC~E@s0~GQ1*3-Yg^efl(6VA9^e3Ka
zfoGnI)GYrZ77}lpog&srYhtd|wiMHX>q)=-4y7(&=d)M_zjZdzNOZ*_Q&%+Mw|B1X
z{<K-l@$0LuM~xVbYDaWV_)7(KJqJB9%QSXT=$&bQ+Y4ILk&}0Kg;C-8K(xU3xd|-#
zR(PYWTLSIb{09BLWeV(mqNKB}JdUM^-92~2y8zP+_*tzKNP#+x=J_Uk6f-*}dYsko
z73O;JR><WQGIR-Ag*FgJus>S<7wcOZurXo;tMyqj$Y<0V?mIq&NvFhy=oK|#c^a}(
zu5@Gw-!v?q;uysICdV&i9&g921LWuOQ%Mj`OVO|q8^FeWzqFTL`iwESjIXjukigx-
z(8MUdA1k-e;vv}fU<nib8%xJDAcA3?ThVwY&Liwuqx=QS7AF@~CaQzn<Dl=7mi?G*
zlji4n&Oz)amu0R|wHgpk=Fz>r-H&C-4zGB!j$ryKNBz7PiJ+QwRee@<026Ks^V{Sb
z!)EN-gV+f~nEY1|_wnxl#$)p6okhhs=1?v`$9_r`ayG5Lmv9YX;W$0@kAaiei4rNB
zJueAxv+TCpx1+<@yuxQa3yW#Yo#^{0Z%YN#o#f~zr$;b;u>kgd^I5FIUc-}VzY2)?
zY@Hu_K8p2sPT95l&10vW=j?6slpzJ}y?=dV3?poOxHC}qANI$-Vj*%14`!=&QeMmx
znEN&^U&wqBiz?p}>E(=vk2x>ALv1Fp(<5a$sh5_q{&w$b7EB2$%s#g2H%?*K54aF7
zGOuEvmPK_B<CUN@-#@R^eFn3uld3;ZvWAVhT&6S5P=vO%3noCA!z51lpC(8D#3oC7
zZ9g+BLIdyUn+1ghtV?L_+~>#*Oxfkr-CfZNpg+rRLOJpcW5^(Ww=DXF?aRtdU0Rn1
zpRj}aRJ4d0Rpm(S#%*B*U%is<hs%S==k&zB%4KYyNrzxh?LTbEHQ0vqM-FVf|90)t
zSjA>f=YCo4rbByDlO?+2<zR0&m#O)uHEfX1qh=+D0r@Rv3L~5xD28@+T)p!X+t>4I
zF-4aNRrS@ym=?-Hr1bLpBbgf*eP!b09t{>$Z1L6}Gm(Yc>B)JQ8+YbZH;^cHlok2&
zGcmuIl!4oU=Z@c0+rml?pPde^XGi<5;oDxO$N=7TMf-f;KP)b!Zrs$93u%jy;}Q*I
zARN2JyE;LK9-BQ|{H@4~_J2**HJ_7)7<T#eOK}WH&39y<Q3D^+dlA{^6d(;VPvh?W
zXUT++yT$eV%Q&=`vTCc$CJn%la6Q_T1yu)0ew8^Vh;nkTU)R8-Ko<FpOa-zc{GaNP
zz8qoHy|83fc2f#OJ<90Rd)X1;Tag<3mMFSZt<XB0A_X}U`VU@3aG`AT$O5LD5@>T)
zCvv$|3Z6c@8!trSMIAWKqszY1XwvhEdnmm$sB6DYs%hp!%sd<AojbP;1jc3hU6Y1W
zzTJ7|S8(XiH&YwMWjVC<J%_=JECZ*%RPTIEf+)xby-3;Fk3;Vg?pD5&fjh(Y)`Mxn
z$k)PV)8@4jdT7i)?{!%g)Vj1D>VFYMyMOxrdEBRrc6kq$wZ+K+*NrQMpAJi)X4a}p
zsyJ1&%6#%>3?>gJcNHep(@Ueg_FMQ<{%Xkg_qZFkr6SOxrSAS&kwKqU8d!{mG?10=
zNz_NgLtE9J_g|yr(4SAq-%|->v|1G99}%Jg$KdRInuG$1+yB<*g%<^xiI^XeR3XA?
z!K5>}or;M4XV>QOOe*puuplP~4Y>I4Xwz~!9`SxJtT<n)i7q~UYifIu3}%#LohHXr
zP-FGCY0n%jH0;A=XK<SeJZDCzeDbR3%bl%DCy#2QA;Q4O#qV0s;l-YIW{8NK3hH%R
z+q99=zR0#4XLX^t`lhnMS#=ci@cp{@v^LVm4F&2D4B)=)A@|rB4U`^OlYTfu8x2ay
zlv=GC0^cs|F*%ilzW%_O5<0ceP|x9kbZ3A>*V@m-e<Xwr$P`6nYNA^Uo<I4X8N=w+
z`|MrDWOUA-e`;Z#g8tsNO3EKM0jUh9)leHU@=q%%${Hpi|NLH-LvyAea4LoGlL{F{
zpMSK;!LEi3sttuFtIXhps9#xl3kg~M?MOL7uZ)y#F+cIyV-Cr^($D{Ck&tF<L`>mV
zIaIj}wX+%KaMjK~Ghk93F-_i<)~ypqgXZU=91F~0%f>;Ix}yu!<3ldK{OEqRx?<gV
zb6DBkC&{@=Ktg%X^sM=rkngts!zO|`{L*{F(o?F8nm5B)y^qacZBFSywiRZ;@6nyV
zeNYLtaQ)!sWm%xza+kH?QZj=G-w{v$d3hw$;20#ohYmiflT^-KF@;6H-$B_)vdFM^
zDQsYR7c`60b)1?pfu6D(S{H()5U&2iChsFI;J>-*&}U)-k4osJ?z4)a%Eof#y;Ho9
z#2oWxA<q~J_kXe!7!yRRQ}#N~4)Mbf!yR2GHe=vm{YU*s$BzmK=FTm8IJlo8uleXK
z0Dn}%zQ7SqbgsYxYpBNoCD9AlKTLy0vg-ZNBP@vAK)!DJ8wZIw+so&Nj384p(e{cr
z9jcVH>_}n|fWmr5#f$|*xb=cXMoeHG>tb?!^mHBv`?uW~cCi@(KA*0&bZ8DMuYxY|
z9sPY?kp<aWyW!#YW~pj?2NrT6kj*Fs2XDB_E-?lgfKn;_dDicrXy>^LB1fHYaB-Zc
z6IY=RW7{7BZ%$6r7@p4Xzb4_Jua<?Ul2IS_?B|?2q_IL17Ni@W5WoS`T957KF+Di(
z`9R#M_H|mGR>P(kI}RihV%h~UUC6p^*JnHNhh|I(TUWs0V67=T?UafxJS@9bmtaf>
zvG(Wd{*rOv^Co`y++7`*f7Zu;&w~Nt$WsnHzBu@{x%_8JKnJ3a_y;8)WrEWR9LTW>
z2gmE2rhPKCfwxJRyGD}*+Gl-L(<BApc*g~YAqj0Ld-qm+Y-1Os<{#1^J`ezRx<jt&
z#aa+h9iPBk%m(je_Yd9F6@<1^CEi}31ro>iey+FU0K=S%#a!P7f$mAfX!h{VUf<&J
ztK&B({9`U=`0`o^w5RZHKVmiEm{_*k!#r+y7~}Fxu|OCMoC0W71Wh>WYIiMFnHT!M
z_ID~j6#?ghKle07s6aR+#Ouh+2jc&A`?55Pg4eE`$BkK3aB;j)Q#;QGUn-Jr^wNvN
z$43?l-;YvZfA=%()Gz$Nljs_iX)giR@6^S$@Kgwn4b2Mc#KC0REUWAXN#NVi4K(~q
z0gs90w3S`~2tlvEOC6Gi^5^N!Z$>C!(|Uc~a$XSTobquSkum^V_BUfbQb4yoHu5%y
zFkEUDblB@C3pex2Iz1XF5M50t{KilOuG3c#Oikoq_wY=L%LfV+JiQQRb3qiYndEGZ
zY0JaKLnaB~0~C<N-Rmmt7K4Th8|5{c3Q%X{SdaaofMJADa)*uti114Wtm`Slr#l{J
zY}Ki-<aWl?szefY-IgskG*g0Dxw=%#U@AN!MsJysq@hWz!8-R49)>EYx-Xllkl|-r
zsp266CMpLASDlsNsb|H;S&Al5U)H_SCCS2+DMvDLSAlN17jhmiG$HVs$m9=3IpDjO
z^V7(g05y_>PZmtHz|tePK5tMCK08F}x|yrOSjl#z=7JU|a)Y9DnLL=BoPFIdLIl?*
z<m*!f+Ax)y@n9%X0SwwsJelnvf`jmLVfHW`C_KhvKkBFm4!g$^FS)D1!<8m8276uL
zuslKPkX3>Y8kMs}A9noW82`4%9zC#{`gwfgs}i&i$#TB?tp-|y>6UXQ`rwZb&+$*i
z16#ie6YGW=1h&0MkJ)Pg9b(>iIVEMdB^+^=`IQ=2R0%#bJ-8bZk5_mL7b?U1D+DEO
zT{TFLF6*tfGXy4+%6*r)RUk^oY;SHP5tO6tOqXno!2h@9Ss{BB=#vtzDUVSFamz*9
zUZBDDKzj^tv<jqOGEQ#UM}Wk`mY(mq0Q~s>38$XlInUCRHa4ydY?&{oj-3YJ`YYC#
zaZCl$c)G6Q4&x!0G0OBO22l45zJibnJQ?calFnCzK@OGBNjhV=tcopEl_<lVtH0ID
zCgs6cTh>aRWDN0b<MDEG%3w3GYE&U12OVqC!fyMGf#<5!^{hxd+>81gly+1G9Q*{X
z&p8@{Mel~pT$K{oCzxI0IVcG}KKY~hw#Gn_4*D1LRS`79g=<Si#DHl!-FV5!7(Qf#
zeHs6u0M|sqAK#Z2hFjt5=ffq8LFMNINtSJS&<t%e%m@$w?ykGJqKg2-H|Srd)62t~
z1NYwqv+@Jed`^5*B>??MWceRDIk@wIE7N+K2mXXlwjU1z$U5L2YD+H*m(|KkJsmh9
zOw}r<OdUW(ckfY678xjfJF<SmgAE$l`@C*_ph2ks`;3pG6l~4jKR5TA1vXODF3PIV
zz~ad1dv%8;ATukoi6+7f(o$!nJra%JN9xlX;n`vky>Q>ku#^!5dU~Jlo!oifnWwuS
z{SpBu;pY4Dr3~ODupZ!RWC*7ZBx(jm2t$#dNJ$6>1I$vdi89{V4f?pO|8@%rfvA_1
zp~o9~aI47c;N38QxBAbW-*pQB=cZx3OeH;h{LlH-A$tSZz1-NO`Vt4s60cnaztIET
z=j&~@)%qY4<EO9wj345o?ZRgq8Q_yEzjmUeKG;~B4ym^AL6X;e=EWZj@avkAtl?!n
zcoBKx<{l<K5Y}0HDOke@mg;`|6|1^1L=A2TbLIt!l@FckxlG_%`@KivxGs1tbk1tr
z=K=KMMDg`vW>{>L)5-aw0}WQklNoEcfmifx=iY7>X!WvcbvdL1R+@M*0ak8U&S{f&
z7iNWgXO6Lmc5T4B<81IrT+l1W)-w^#2D5Qe<Gcs8A&Ps_kf6f_H?|JXC9JT+HQrT=
zeZ5+6&}Pq<-8e1?JT|12naBy=%lQ4~?pjdqRpMGJ#s&0sUjs(;xItO%;eP6}CTPT0
zbJDE2AmT=gUmFuIY^hAp%n~%A^!3p*#gDmQkK-exzQqgk&hMDZq%~pD&UsW(g&Q7p
z)!MNz@dN$0na>zTg(`&)c(HD75O;U7_K?IuqZ-})*Irbh55C!}lg|Tl79XsRTL{3v
zFW%+bd{k)9uDz&pfEO0pmH7>?2m)6Wxc+FQKumY|^3M@osB<}OFaK2tHtT*q;ftlf
zLj`Y#q&Pmfc)&N*%t8dT>M!Vw0|kg_O9UM~emMBmHQ-IFC>Y<_(52&`Kx*cVR2OC(
z%oc5wU-lM<{#bES*{@`%I-Qqud<F+GHLc_TF-h<)C(ClbCPTqJwcJ<30${pyZE0;*
z3f}f7xIE1xL$y<V()&3<;6G^T_0UHKWJ`6OmomvPXFj?3ja?Yt?x8wv`^dtDa^br5
zo%lg}rIk=q5xCLA_V<3M9AqvEzFT@khN;%gmY8%=U>i64nwu&QSw(bYxdt-y*d3Ty
z+7N>ZfqQZ_&lF&Gz+HEKkqm!5nnip=B%tctyAKQlig1!8s;NYs0_bdstt^uiEEGpS
z{K<-k_GA31U*agB!r|sQR45Iie1{VD8YsiN--PAnc?!G>SsWgHE(6hF3lIBFslYew
z{hn`qsIc8kA1ZfK7J^=U>(9z0fLD#Y*QYHi{EB}rbR}92KAhqBmsX|<mrDNW7CzMk
z9hvh*t0(0lEm6y*<24banKt6Coz?=<z08h!M+K<074FG;ss>w^++>JW+Ay4a>p_#b
zB22usx)~Ru4!3i?FMAm2z}<P}9uGAoh*7#W`kq$<9Pm-%ggv^zJYIg*ivtgLVip97
zBQ&7i>im@mH$8BEZA>s8!h^BtSQ*<R4d4qC98kQh509TaUJ=b!hX0;<I?pF*zzp-?
zlhq0XSouI!|G8TQ9EPd$%8DA`dg-@l?(}XrdF8R)k46=Eo<b3j2~&r^KPi%`d`9r8
zPS)>+DgnkCpKK^ZszISd3cnzU2Avc1Q`7zg$QX_N@>P=vjbr+%{*nL*kI&)1ClG-7
z+Vr2p&k68900030{|uLBIF@f5hV8xg_S&1*YtQGh%8H_YB1(l)q*5wUNu?AeN(gO9
zB_a_$PeKuzq)>@uhsfsd>+i#T+{b-f_wT$;wk=y^^e+L9nh$q9-=~cUa8z6y*F<bb
za<ADuu=OJE>nG;gkjf*Tg!5|P>yCC(X0;t+Klc?Ueb9pWo!$Z=E;aN-RZ!;V?I5T$
zvu2H>7PxpP1JkCIai!k;X4_Lc9KMy~;F_X|Vn^Ar;yxNY3#~d-n(VNq#ml{+N&~E0
ziakHRmxrs^wo5|GbG?IW;|816(PE+U{RpQFl+89TT2<Hqz6ZruHmJd$pY=uN2?@CB
z$2dQ`Y=^~}Je7h{RT$-@n98gZ#j91B0s}#IuxZsCZ@H|3u)U3LjqyS-o&PLitzn0g
zD}zs2MJi*<HAEFD@qxAT)LDriz|ir??QNb)_}dnGW@efbOBH_Bk5d3|)}?bIhBVxp
z?CNPe$%dx7=30JR;00s)lBbCRDyRpks+G*x$dSCOq=~?lzXyF*E6PDrJWwM*W{J>x
z*kaEiOMuJ8>e63T8H_n*TwVKqj&R)no#7W^i=DUTF1>P*!q%H>QWj%oh?!c~pqL^X
z9G0CEv%Vk!B2Jk{Zgz_BURxFOdchi;nY*}O&4}TwY_CDQ-V~wYBd@-~-5T3Q9-ZV(
z5QXPX!MxA2|A@fpnZ8HaR`|I?&6vqt1WAiG#)n;|h-+nm`bp!K$SA&0CdwxaTAg_7
z2>UegqQsWh#LW`9CDW~|ScKqp)l_Pg{0x!VQ+mBS&jL4l%Ab8<2;j-<(x$6%v&7G`
z8^m)i3%pp6m{`c=!+E94eCsvliTl|phug!=;UyvH^2eDM4Skh=GuRi2+|r%-&Y#UN
zuE25axHb>gZR<22<YB^MF>5cslNo+JoC->}<Hp_V1sU~P%n0(R(KakIMf|4SGWut^
zpz@;MMPwt(a<0Y_pX!++KWV<?5E~b|ea<SF=dr?k?fbrhyC&d&K5=&F9w*!c##J}4
zvtvt^v8#lp31V_qU9~&R38vwZWcncvsO+#F=eTbSX|>W<$D=s0HD_D<Fe?}GLRkYY
z8XLohRp&O}6;8zZf1WhW<Ay|yuhGXBMyPCB*nHtTCmybQHy{wqi*x?>R}Oj`A^N}_
zSuuAmc%B-lXdw9UQ!FH(ZIFTMc_VD&9b9NVJyyeRDToUZZeP3-7-)|TNNr8whLy&t
zD{cis$Q(7-5YuAdW-DK3)eau4;Xcsr&?t=lA!ek$GX&#8n&s#=UK~-m6d%tlifz8P
zM>UTa!szNc-NiF}$Osc*f8;KPdvAP|Z5f6Laj6P__MRX9Lt9SmFBC@uZ-tP@Fdd^O
zqj@bLi0M<6p+|HiQIlu&w6Bnkiw#Ngn|2Ce;lR1a+pDE8Z=MlV8cm0{?_A?1H(|JO
z^51;AUj_lkcf8y0K}XI&slfn5z*ZJn`D%q6LY$;maOu*KxMka+Pwt{PtehTEXsQ5(
z<Z<zxVsvP}-6A&?A%-8rtX7gLG;m(q`t&&$9WFW3+ms8$F?E$=>7}I-q~7E-t>mHO
zYaP==;Ux*=1f~4c+oFv5{dB3_GIRv?W=CxZlfwCaCG%%jR3JymE!JAn;rx$Ux$&<w
zda4+|+&fjlS04OxCX5b`KFbSQX|nLX#F?(3ua0CL%h<MJI-*QYY}w)=kCD3OdpA#O
zz$K<o&rZM)HxoL$RFo7EoU~7NOTQ+PXV%I|#u=jA&Gv2hNg9mqMvzTz+Gw_8{L|rQ
zK=to2uapx?NQ^Pwq;XFNw9HNNDkTi~76)y1J*NzB+V49-3%XdZxATbm0V6zeO0rs;
zsRGIJ2d6b`^fBH!|1-+R7{g0!8MOtfP<PMcZQ5jjfscVD6>Cjk(f(}<Yn2*yH(F|V
z=+W_IN$VN0%M=@FS%S~%)nTYM%O{vZhs@vVXqFph*eJL`vaeAC60&Tk*R;?v=Wi*0
zZO9z9IX~uqQ<{*m?fQIpf{uu|VL^tACC)H^Zp+Qpg3cGwp*#I_=-P)gI22jo99?Un
zWQ#VcLlr*>711%+zi(hj&IT;pQ=)CGI#6c+k#fVCj@Soj5|Z(@@Ova_tQf0<or2DB
z`GE$w{Q6+p*cSqU36r|p>veFH<49TmCp~<3c<EVp7C08`xVyYZ2bz~yE{9C%Af_|?
z>k4T*EdAQ*ak)_k`ahOV{%p}g#dxNDWQrXuK3&;rbxa41pFH$);xxe5d&R+W%nlEY
z!nap2>EKAG=$L?j8h#c(Klaqr9*&&MA4gYfqodVY!~eW8xH4WIS-sgF$Hi+|{q}1?
zjJ9e0S1B5dUH=oiw#OcMN^5^tM{2_U&kE(p1G32bm%;B7YL8(Kx1W7p8n{Mmkdfz;
zgu<cUPp4e%aaA$lg`kW&oE|1crm=}4ZBpvaIca<R-us_o<~voef2%unutNZMqwT9V
zw%H+0t|0S4tO|<ndd!dHaG~e0%%hS-JGAX-Q|Q-FM%mpU`l>aoP&K;Le9g!Xy&In>
z(pzXS*sd#jyJdl>vwZO7dketx{ODnEaYdvjh8?ah`$wFNwX=K`3B0{tztZrE9ImX(
zN*|_;5khMm+?T&O>;!!r)GcMeV^p+9y}qB2&tx&r^d_+Bp~KqJB}rVczPh<1znj>Y
z!*8#C#ug_lv@0ct#9<oH?8GVYonZ9mFnyqGkeU)uW5_H9ZH-O!Dn?%k{k~0%hB<3Q
zkNB0pCPYvWpk?_-tc_qlHB;VdX$|oi!L?8Ggz$E7%^nxCHsV99yhh}aWgZ>(|LU?^
z0QWDaH)LpjB~n~U)^^uf;<#GL^EKaj5%Aig%=1hq@#7pTv!j?L*jw{1PG8}M_&xsK
z0QN2-zo)YxJ;VYp>sto&GB~jloZ7Wdx`|r;A***)=9m#Mre(CVqs}{*mxt;lK8M9D
zwn&>JeQ~GWs|{>8obLN(t-t`$w{t$_T(lYH?u&_einD^<hDUEYb(pYFvA1shZVHjo
zdrQNtEMPax(`dUnO6)(pN&2#jDKyUpY`Ut#3?Z|9wX-SX#JR=c=%O+c{P^`<DSI~)
z4yNDV$4H$ZLih7k3Td05<iaO+p|?v!hT*hAZr(paRr+RC?loiVdHc8MI?oa@I8hoM
z^KP0TPPfuMWR3B*vGjUs@*?4F#wIW-I7j$<j5i2o8bSJgxwreeMWQ$5Vb93+1>yj&
zQdEbW5tug(g^UL*5{7}F7A3wf5p$iF&ON%xz|hF$q0k$P1m`rv#?y)!vQ2#&N%{=*
z*WMrXR9YgA-C`n?GFdS5arErLDnm34=crD$EfKs;zh|-q*l?SN_3@F_hM0|L6W0x5
zLSuii_|+_StliMZRQ#Kc^r+$S^HWSvKlql=cH~6Dt1n8r@pL@TnVf65!;F^0s|1sI
zmwEogLRL_Pj+NPyUsmsBL6x7uDThfOs0g)a@}D<As{Z!UE<aZ6RvsytXXA&?qi<Cg
zyYyind5ZV+W;Rsn$xdIh6-3pVJ7-O8^`ZRiY3Ahwc61j=WvYD?!h7XK-<;cepuK3e
zzthYC7wcvn6`BYXj<AZRO6g%HwDNYUITr#)Z`_DKEecyh+5wI$x^OR*aX9>n8<7uA
zol6lA$5Z8so6>5!2p)b^ToKEQOg%oEYb6pGjL42seW3%!Qcprx06%_z_+`i(D}|Ya
z>gK9&9gMvroJ)2HLg>HemXo0}h?=~ZRimo|AC+ev$;<bX-@<NrB~}i-XB$#Om-iHJ
zOs=OeuL!JIBo*q)6`;5`*u`Q{8=^+hzqbX5Le??j`P_LLj=8qWsgG(SKAm4xxKRwR
zP58MI+m!J2=rh+85gkll5AKOvF9ClcD*LLb3anf^M%Jv;!J|FG!f#lmp#QLXS9!iF
z4DTmycuML(ofIhJeJhPTqrik>x;nyT_a&V5*2P(W+Rd5@S!CIDs7KaoU{-nI>VkwG
zLXJu2|ErUSlzT#Q?QSg)Uer*kpguxcH2HpwD?*<$%vn@f2Lk6CY8LDb@L~TnTZDoV
ztR}?|sC?E%S1eEJjtz9Yo=LP=T)o`4uQ;MJK_5F_epXjDH^iwwC*8-BRp8;3RLd()
z2Q7<zw$_3HVQ1a|w5X!;Tw&OYHahf5Jyw)#Hp2ct^W|NN>Nq*bTl_7-5LcqVUe|qO
zjBek^XO*EESS#z-vqpx2maKe(eic&)AF)u+x~~Z(`_}0L%YAErzw6(Vax=IRmj{iz
zv_L!hY;{H*17oY@wdKMr;B@Z1!n!4GtQ<%q(%v#q)i1+IGqOUhZT1DVMICtEe3ElN
zi-Gmlch0!7*}zNpv0d^fU8I>x(ZbXjIGQwRH2T37=CYdUuMg?rGqR3E?lJ^NctFn%
zXTT}6y>RB29@2jw=N6Az?l%Q1z0xG@kQROMP@9N8=<Y54D$DQFSk3VH`qmEq0<WDN
z=JlYH5Ls5SoIlNyfewkC_9zfIlU#UB520d~MsG?rp_VmnR?uS)D#M*;GqWB(u@@Hn
zIHm@3mV<1477jQ%muIn2Sr<}~=8183%bW>+J7&7W0pd4VN0fPV5cr=I{%R^<mF|Ql
z^8p8(ZFC!xd!Yq1Z(XmgCWQlvWA+=iI)IZgbd6(;CK}g^uQ$pOL1lkuVWN=(qBg9{
zF|APt%j)g4?f$$d)EyCv9kRzg&MQo_s%p66;=8c6js-^f`6kY(_Sh0EB+b3dK>?}f
z=l3#C5l;(8H&yG}<DI+ISH%`3*xm?}A7bq#o*W6DwXCwkeDI=1r7;aOEA~QlwkL$u
z?cxpI&UR3*dTzStAdj+xcbfm5Xd{iIfBqYP2UyQ2u&;BF!Lcsy*xB>HNu`PDSWjO-
zR_m8t_%2CUuA;XedGd$+=2=9s)DbvfB$?e&F9v&?0It`$<78op`+wHoZ1I||Zey`t
z1h&7^GR6O!AioxKvfiDyf#eEVlbtd`Fsj(2(PlJBK2@z=!=Y@0jhepZY&1Toa^3ms
z6+TH?vppNj^H}yZN2W6z5nS-tyl#7-&LnBZd0~CZaVzLQ?Ni(+zsxD+cby#<Cdj5@
zC0wquMBIG9<AZ7}P?Jl2?pE=a)a|Vv4_~sti4F984VEP$@3ekg`txy8n3c?ZvC;x*
zy0v;T-m^sO!@k(hg=6HZpc@M&m(6iM_d&Kj{U0GAX_q8$b(9?F2->=5zzi{R88pjt
z;{+pjXtGrH56SYj)LYTf3`swOV^~T?h!BNOo|-blWZk1shw&Sx$hO*YKUk)p5MKD`
zlW#jn4s3jHe2c>rAzrPD?#4YtLvQ+(pBMT`xk$;3f4fYe9>unnr|mnTP1;XA6YnEE
z>?>XswHsrN6Foq4LmTn3`<58{yI%6>$}Ia^?#9R;UGEvv^qyGE@_5et;uooXXtDqL
zvS%F_c;uua`<ig|H`VOy>mgGeg-qiujqv3fcnbeLBigU3#&NFfA(<*><5bHS_@Vpt
z6eWI(5YUfd#C`21lS!jp!DbA!<z|2ADoZE1R;x8h+~_7*Ki}M-`OFZ?XMK`RyOxkq
z7P?*+u6C2C`?0vj-Vi+>bGGZ<r%2*v2cz|MH+io%lDoc<j`1Q7#qfu9WYmr~;sWYD
zWH57f?|wfzsK)6U4Yx+pK-NI5=y4C}t^P;&WUB#GWHUCJynRRBF6`f)z2_IXH{CGF
zcu^m(gGP3}3;al0ir<M;3G5~1_pgZmsH2a|#scO{y)C3uUuKl>vESsUhR`ybO?u!A
z<8V6^+D5LhO21M0p^tp5Asw=2nO|vX$7C%hzmg77XD)O54Uj#>JJ<Ya)q%pDy3nT=
zJISlv>M{GIhREkj)8A%gbg*AqcjBbl4{|SLS4#_zkSXd9R{8~LL*6*t@@#4s8PH-E
z_DyA!thibG^<S|T>c8z&X_4$EJxtoMGjNPd{wBVzibD&6kJ4;EKj|T*L)%|9QRAeW
z?X7h=n>4X<@3f`T{$5h%S5Ys!^90$|QSmFeN&^>$OZ0d9^pW~Y&ND}6Cdr5|k2TKF
zH1NZRsgT?<K<*dV{a5bG6j|^=)hOw-IwV@<hWxG$k%w$Kk5~=PkX#nGq;5>A;f`A@
z^9c7Ja@5{iqS|<##9BwS&)d{+kCOiQrfrlwa9Tu9``IG-A0-p!^j#HPG}ht;_i?hk
z=9cV=Y9?y!&3Ctj{Z(Q8vD-rX*I%-xZNE#a8w<7D$M@i_Zz>339LRUPJxO})`hAjZ
zk(FXk&a%!8Q2~4067RK?DN@|#na|%2cB(~3*?(?A8F4RPKAU+sL%!#|QDHF5NyS^Y
z29KXn#?H;UnkQK1N&ElSoG3Hmp+eVtEDEVBW7N|7=~&7lxqaXE_Qg^@iu>v6R*nWG
za8NBZWDyg^?b^gYaY&GolRVb;AW8{+vC5y8Y+0yhrr)+PIS5ljHU70Cddu@s8L2%J
ztdtnI>f=X6sPj%t(MLyUcpE3<q|nMvU9C(@)vFhyo~@stB~;Qda<TV)NFOJ4O`$;R
z^E(M@LO}PdSOyL6*_0X=4R|QyB3_}xywcQ@f6l$pr)WqG|K&Sa#7D*D_iR^<m8HI!
znU9`MSoWkwp%c-Of>eIKs#L9(0(H}4BsV9Q2DuXkmNGWNl&H%t*)xeWN_?<uvgQK~
z%3<qzx_*gJFE*BcQB+c<hQH>Ty;4&`+)(0t-xD#)?H&J>mM<z)>04a`_Z%gBavb9s
zD3+iaXDwbBm#R^phB|qN?Uk|NYRRL`9a5CvZmIFMVhzf@piXgxtO}m_IeTn0k)<9s
zy4@3cuSKo5^lhCpP+i`)0+t}<sjz)7Z9@5UDUE-tz7-^@VIODlfRPQ2sw2xS)Hdl;
z+e1PhktP~wt{s2!yI6_RzWL?y>OeYWMPn@#vDU(?b31jM2^A{aygYpUMMJ7OaJYKI
zT^+=|IrZe;cU8*0Cb~Voib36FjDK@Ep$}iT@-IKmt5ah2WPb2xBkENoDRFa<jtedC
zB!^rysg?UaeYW{%Oewj?SciRJpgiU$QN^xJ-Qi_iG`?X%*;O~>Z=5s+SZB8jl<QC{
z{f!l8jZCR;jbcgRo@Q`o+w^6Jj~*4(nX<m;fGM?O$3#j=s|8GkhIbwMpikNOuRnWX
zqbc=rM_po9j5SRDd~#mJPp6u<WQ2{jn^4I9P-Lx5U}sa7%;<SK#p5G?J+|MNQjb+U
z<J<!zs1DoT>!(u-9Wugdr;Vsvo%4K&^7b%|4Zm(GW=KWOD((+{VMrBwr|gng=6<7L
z#12bdLyFTQf_I~b0kw2^Z0fU=BgUMwOFlNzDXoV^t#@x}Q-@4*q9<w{5wq_5mL6X^
z)e)B^d6ZP663RMOd^d3dyWFO=LSY7!F?D2Y@(Ycs58}O6w%rN0&erb^Z`PxF4Yey*
zdP`AvkG~)8-r|J%6P>cI13HvYYNhV;U_t7_eMh>Wt`qjDrgw5L=iox|u|v}`Ow{)c
z%KJVvIb!_d&Xj~S4Qlt3-8P-dZRE_r-Nzfe9C3Svd*y2<HELSJqiTcWAEMAFF=x$7
z2Sg~n)8w2`rVh53L?;|!g7@_wePUV;C=P!UC3Bxf?VT!n)o;p)pULfmn-lF3Secf$
zcT|qLbI|hMc`H8n2^Toq4cXzWs>`7zQi>WcZcdr~Ac!BLUq9=4*<pY<-Q@gUjGEwl
zxJye(7=v5=zN~u={J8kc@S?UbC6U7`k>4YX&DGw&1`L63qrure*}T-0(XVsDt3}|i
zWcs(tkARu^`JmM??385SuKV6GB3QrbGw-_1wlMWLwqKxiiIlOQQ1OZufxPq3*1u6U
zxRT{9{kdV1{8@L~-XcH*qFNV^r)OGYY_D`gz{!5ns-wkok}iT-_u3q#H&*b_Js^Dj
z#s`wt8N^YvBn;xfh*|`v6)p&$^SR$xLnIAfRP}r>jMvq3X%QZlNLwsgs5kjZoOL!2
zX)6%Mi(XeRgIo(RXB=GhyL*_(<&|-6PZdVz{)&Sg)8;59$KKQ#PY}ZG`fgR{md}5l
z_vV$KIoi7X2e(a66LKb@cNeb+qdR*cY-^1f%8%WTf3$jmX!>$-WKV@KuKV{yz{CtY
zpPZPHxXXm#Pm&s;<H88BZDQejV2Y^H1EsttSn!=Ki0`YN2sTwS-8rXYiXRy}E@(Qk
zq0=Y2C^}yRlmB!c=RPt)WCdeK<sWwVaJ{PgtR;#Vkt@Dt)+RXSeZ}c;5+{DCi0lh~
zDGFtuUGl!o#whdhj!RbI#=DW@$!DX)z-eaKF1O7XRY#+SE|>9OG-R&kfrB{oOP)F3
z=P<_p?e2Zm9())qyKPL@k-+F^MxXryBYeE){pZs#KaRd{Ek39x3CW>foAoysp^s(v
zgnot~?kBcQ4Y^8zf99L+TOlJ@^mAVbzbAz8rY&W|@zMzT=6yV)nSp|T7Pc-Ig~82!
zG`+b^20uC$4@z8O;QWvH)E_5B@HVfkv%y6Ue@2tceg!cQm^ah>@{}k(y!v(NU#mQH
zGhWD6+A?4iad4ymWiebO&i~dqrigDcTOWq1Fwi6N-+X_mI26v+sz%?SA*SXay+xD(
zmz46N*j@=JKmC5&^r8~_xqlvA6k;HrgEf9!Qwrwsi$Q70%3w{8W?GPCfMv7f`R-V0
zjIMBVK5<zEPnc3w7EBm;ne}*I?k^eaF%Ta}ysL^<2QyLYKn7mxt?Q8rltY;2bkV(P
zHSEg1|Ci}11FI5aLOu=2<C%eo{HmYoXnvchm^#3Kr|g{z9}^XE>B!4?T{cbpG~Gk$
zt}?=!SK1Q9RT>&gYgRy23zzP!)a$P?Ld5wfnc722U}+CverThOBA(HzhhE0GI#tiH
z*IyZXpR~%pbk)K9W7BV<Q^t6reRhw#y$ZBOU0=>R>Z0Hf^IxLa1TE}Cy+1Wo@xgNQ
z6EQVC_}_k@Q6F!L*cD5=SMsZYb>^g_UAG>TZjCsl>@Wk5uX4Z8kQ$_w9JxXc=%c#;
zuWkjI!*$>I%+?p`xS4u@JNAn{m}`!1rA1i4&r|CH`xy=F$=cS($6~PTF##sZr!3L`
z3v&l-HL)@C$mx;+ef)lt_VLXvE8P6>TwbM96ZHjSAIM~Vbn%ue_|;k?>AYXVsX#5H
zkCucz8PtP5M`YE1T{gHlmDshfMhip!|K7b{_DFSuSm%y0TO1v2*79W6M$?Df=#`&z
z(Dg`a#o`|VzPB6V9cbFvQQ%*&E>s(i_8zloJC^bF@|xc<QEdz<g)@X2G_kPdPUV{>
zz{B0%Yr{7!%sCmJY-85InLTgv*DBf}C{ElrI8F=mH77C)<<)Rk@x|KA06Qd~30M`n
zsEM7XI%VEEDqtiI$$v_)L+7zoEdQ<71nNJo^fOn2#qX6f965G4aqqaiV5$ZZJy+98
zZzw?d{i~3PYj&8cnLA?pSRGsn@h^|F$fD&?xcpp-9oBE1bK-ukhRr-(tIMxT;@hjb
zYa@H@uxmQ+`}?P=IP_!6XJwKY&Sa$~3_97NVR(3K>aGfC&s|d@nuNjnbw`mNza8#}
z_2gYoRYt>fGml%N01lq{;y2U)7zlRQT!>YIM5EM?HHAF5_<pmWZ5(hs|2-4)P8wSN
z?hQX_%ZZ#723DL5;O<{$VG~jT3o%Ev#dfnnxwg&wOBDf4nb+^@E9G$X-8Rz3j0J`v
zze{h65Kul8HhSr!3_clXsAimGf}hCjw#pz|P{WaYPMp&4>J}n!Ws%7GS+X!%YJ+>#
zxu5p>Nh0Q~8{6E}Jh8d$4)KW72J4;T`QJ2)<9Jr*q=UdbQ5vmgCbYpCc10;$b%Vv=
zkSk~G@nVipEL}(Y@yH5UgU7Pp$cy6o{whb&**T&^@tS5Cw-vfr4@LYpEsUF)Hif5e
z%@c{VAA!svmIzUgsO6s!f>8Nx$GpM?LSNYN9#5SGVqQnL3<?T?Wn!PT7ylAr==|mu
zr?v%>Mryo*FA1QwvAbT(mkA@unoV*S&Cx`Y(BNCak4>fL&F{K0<7bsBZ_uI{{;1{z
zPwVp`yWEUhay<*o?tGmZ-DQS}=fz1rt9WrH{q&H;QC92=U|0IoZ3_ABX^)5;9;EWI
z*5WxE6gGcJkPk4$9etNQg^E0g@V9RLE5?C5OYxL%Urmr#b19T;=7#gk!vw2%PKdvI
zb5SS21dmEOSDeo0M*C68p)zi6u;zED$oCjy_Sex=tB2h1P1R>Ulh1=2*E3z-M;K#O
z`kxY?c5WCSdb!IwXqf}fV;Nyg#<&rmOx!cz!9%mb9aUBWnAG09Rrc~S7pm9iuD-{E
zh3a$-6=@;Ns@nC57#hKRnhY#+<;C!c?0Z^j!mwq|D!cfef%d5m&nrTFkS-e=adi-Z
zuUv#q?*Rs)8-&hJ&GBJ(^!wL;_ld%3?x%2wDg*xm0096043~F2)o&cd?Y(#QUf1Pb
zdw)OonnkiHDM^YVq(O-ap|Urbl~GDYk$&!jB1$Ss0~y&Pdu9Cm{rq#D*Xwi6c^_e2
z+;a(b4*14SdmyiY4=zZ>Muzqh;R5>CnQO`kZZerG?Lq?ZNmFYsH;D+>8cp?b?6_dv
z-8XUZo*=~ZSs5O2AcDy25s_s+ZYX_ll{!jvAH;<t4JR=ooJ%Y`JTt=$U%Xl$e10no
z$H%YyvYaPC>%Z%&3O{*3K040xUz{j>7p5L%=_J6go9n7=KQBCU`}=YDoH*<|Q8|CF
zh5+xASKkY)@xi0+T5|?%Nie@R6*^Kv0DYkrlBl8p$iHI~A(=|S$u$oZqf!FY4{vqP
z1qcGp$Rg&OhcpadDN&t$L4e7(n$K203xOxn<LAF41D095%%{E*;LAViGhSB0&@=h&
z+xsS2pt^S9j5<9LTIny@i1dqqwadSCJgq$B3V!0+upq*TGCTRqXfe3--%@Y2wF2;G
znF#vi6TwfA-=xP}0>-*sb~dvW;pXz34}o1B1TdwiJn@onV7*SaWKsz(UR@~}OIC-I
z9F7;+Z%To#N5r;;1`Zg1Z22q_H9*CR%A_Jp8gA8j6`BXCK<D;{^QWgZK&tU<d*gK(
zsQM_xHIjpeA16gx`ze|*!oAuYa#I#u9|U)pm8*i4XVoJ4nHF%fe~-QtB?pxBb&sdX
zYG8?}r<K%cgLU)J)AC#L@RNPumZuy6{F?)c*njGPa=6Qj^H&rg^UB{|W-kJqu)7LI
zTzZi6NA!I9F-5pFx8&y#L4YD;vQpx#59cos@?!}~(0w9@Vd5eIOk}#>d6pPJO)33U
z#Do&C6D51YNCc?Hi^XC84B?SQ_`#M4WjG~5V2Ny2gB&ql8rB2Gkao3zdv!?}R<<xJ
zuRZ<W6O9fn#9@Hv>-7yX!hv!VugDW)JX9ME7T!1lpll-Elyw*foN*1InYVGE`ft`^
z;y1ukMqzaca~#yq^@Nd<lwgVWJBh}g1hRAyv_>>Icqp89s^3=uY(&fj)+<P0Z&aW9
zF<u$!Ty_(m$jL!fLgoDG0tu2LE1M3?DZz(J=hvQhOT(kjpSdl?$Y4njUdoeIg3^Vs
z39o2L$Zs_8wjz+BhyS+6Uu{J&(};24$`OT&^0oiDsE}cBjLXXurvP49L4MLXA)q}#
zvbfDl2IVNaJE~0bAmmqrJD<h}0W<}UArmC{5;iP!wnr9<+D6%pWVpdHL%EFSDG6R&
z<kwG1mjT^S)}m~EHYj_0kj?Zo38sC8UvxT3L-EF@_%I72+&?L7&?i8Gfe0M2l1~a4
zWlDT@p3^|u;7rJA3c!MU9w+|`2{2LPr2S&CgBiUSOBX!}5W(G9*W@Awj2fB>iUsSK
zZlZ4JS6ToLKNYVoJ`qTGa$KOod>Qiy64#e9$Dk`Oym8;65Ip>x+p)v5fEDu%bkE;1
zhUcZ$1g<3kNOkX&Q+zdx&A(*W*Vk+W-x@5;2lw#<OW&B;==KyAz22;Vqcei=Q<S6!
zr+GmKi@ucpcoGY)Jh;$eX$VF<FU(W>xFI)uY*r&`5_8Om(T5}hI8sKtK)AvMKMs1G
z`Rq7_DU1%}Q4Q#W&4vQkP!I=H#PinV&P-#6c)iRF)$~CxZn^8N5gP=U`5(P0KZj*_
zcAQ|3(gSxciF*$YvcO+Kv%=26d2F`{dP9Hf!pD~#<p1)Rpj=BSsgZsW^Aqg$4>#6@
z@e5P!ig-qdqK~phZ<jDLzAPcmA|1%gXgs&QOb<^cBOlW}Ucr8!E-Vpd(Sf+#nAc|)
z=^$t5s@+WG8kQJ;%{TdyHk75C*7iuz!2!OUh?hMZ*wvI@3#Z4m;Ml(XIzPi{VOnFe
z4&&d#l$RpS6OL+uL5x(FFEcGjd&|VW3fjS>X^uASe$@n*Ais+C1{zQ?RI4Fhrh@UA
z-N!W!dpU5bKRqRt2CDA4vxdE;hDle{TJco_tkq*env!VXgFubvLpfR?Whk`&b<==3
z+CcrXz5A$rxsp<qMF)WbKW8Gx)M0UHLvwqP258fU{+pFy0MW9__^^xW5PdB3V}~Ox
zFnhl=oor=<pD}0t&NHdQ;J15cuY9A093!93kSJzY@~juxDImg~*7)t_%XCm={-UDN
zlNAC_ex~U(B7(g7Px}U4dN|eCZq|E(9lnl^G$s5dKqhWMzhxf-4Dr%F^Nr?&uj4+r
z$Y=uaiXDxL6Jdmw!liiDDK4njdXc!IPJnn(!bet&37F!#Bo8a_fYX7R(y$IS*vzfi
zjM>xS?0#TkUl=d6B_^k58K^<z#uKgE^DOWx&#J^}mJjICT82rlRH0k_k9@}sHejOG
zT@?xyfM{xk@lp#_P>nBVvN7O*>$;|CXXS)oOg~XXXA}=sk+*pYIJw}3x|*ZO!alhB
zF5paZDjtLns3dO+a>L9k_rjpxBA{AoH1p5}52-jF{W%>Th?)0&oU|YYDQ^f%WduB&
zF8#9fGJqF)jF|lc_$1-(LF;;)G#-}o<V+J<_~80j!DDU{DPZ{su6$~EprQ${$|MSa
z8NP_KE>ar&j3zcKj^KfBaW}H3K@hZOU9Gmh%Rq6#7v4vuc(|OcEX;gzAN=lLsU9+x
zg8+l?!z^N|u==W8xl};}($hsK6*cnElFPzPeys}Qweb#5nZ@9BVAX8Bjv`En{mNd6
zQv*2;-H2;U65w4ievb4;30iKv`?X<CfM;rdGo6wop+uaG3h#siS6*NG-9H47?)@e^
zQ!WK{ChNC{MpQuIP7blTkO+6nLPB)Aq#>cVx=QejDikQ%{*?(=hmPaxhyME~1Km}2
zBX4`vK&h+KKj^v!gmwrHsNv<H?b@N)loSHEaT4!I7ifZdzo+BL<MP0j-}3T`ED`+u
zRmZ|dwBQ9(&|9N>3a}{je(-1p5ma0KX^xod01DQ<-cYFs-hu&dd;SpNk#W+6x;MJe
zte?-v(4qvjoQPOQuMRDv^v8-_^}$7o++O@z8EP3bieE1gLBEdwD%Yj~*!>Y)YD&X_
z@Yj@hnQ|fovpFZw<r~33Lgql0xe9QyO$MKlCj$GTIksYe!8<<>#_2W{P(!G&`wRhe
zua@F;JOSz={>4V{;=$ji)URYx74CG{xUKV(;GLTZxmp$vH>t-Jn2S_ER*u#&q?!bx
zZLNj9>nd>WfVcM(c4fHYSpRcQiwv6uJM^~`RN#_k%*Hbl1^5u{UN)aahOY?>d394b
z=xSQM6yYul=?}Al8v4o5{uu3h$bkdB2J7FCgZKJDwMLXgZ366(&s(ohD}(x>`v;3i
zVvri?{+fZo1mgOf9DjExLL9^5-@ns>;QnVT`Ntd?tOTe1LM|x4@{ho58b)4_)a=;x
zrI5knoK4d~I(d-)U>v?_!w#498iPi!075{$zmlQN&{NPXS{6d{*P1R@(nE0dh;E$X
zUT?nc|M{9)28{33UY7FT!R+4PW<1+TVBX=cp?zHnR6;CLjH{Qh=9fCBSUpKl|IuJg
znnn_+oz^qi_{Ok7MVg6}6#!M*OVc@WVi1Y~T=TX+VVCu5-(QXf7!%EURDDJm6xr`n
zoqzv?a(k&puUG&e2}xZk>=uNzfcxGKcfL?&-3Dgq4q@;_!z1mwFFy>(X?#tj^ik-k
z&4zHn#sIt%L66mV;WR}w4@D1AYLnkibL1HT{pi|)fGjrz-tv{ZATmOE&Hi7+wN68z
ze|h#ea{>prtaOCd1dULBQ+q5A(ip<x%F5aML{?Dmd0HX-b(rGf#N>C<*Z}U*-*^cs
zOmO?v{o7&TLzL3gwP#!5`Y;*!BhNmR9-^xl7F#TSQ|^@<KN8cX2cNaa)RF{f;b=PV
zq~6z`6oTPvkI#I1aBjKp?eTw9z*An9$2<O&a<uMNQ}$_H$UpN{WY=s53tSs84SD*B
zBKwKY>LEo3{s=cHUgrFVJpyN~*n(Ed&Oo3}wWtmx2_07Evs}kc3DCF@b6-;YYxWz(
zUDt*NpXJE?qbnF;si!C;FM^^WZIH73M+-FXSl~7KmoS1^u>%XP8Y?giG-*1d1@mk}
z#*gI}vC^wf60hmrVEvbOdEYc@LaQ4aqjUW{_HkqGi#X{cc0+qv<10}Uwsn<`92EJB
zi6*puxv9{D)!n$(`KeR`-0XxhUhB<br?hU`iHrWge65%Fa7Y7=^0`rQG*4qEt90~E
z(+^-r*ORQ7i}v!w(9P?6*%a0u%ln${(h!DXT5fX4s)NRd0vYLvNo=6ZZh3oV1k>h!
zEEiu!1p8kynDxa;OvD;jD(*LiJ$y3m6r@fBYx}eHTL&gF(4rM}*qXrbD(QM9jRZL2
z^4f&iYZ9X)xXFwaOk?DM;SpgQ0?3<KFL}P6#QY7~r9)55VO86m*`ZBp(5`kThSqKh
z6CnK+iY%JPoVqU8Q_ZRZ=Uhp7pTsnFg^pG=NNExK#UirvOk5S%FOM8<SD3*F4HpDX
zwl87HDbt0)&UgsPYHPl6W)^GX;_&y4Ucnr>XrE)LDsXisB{pez4)fRaHvi?dhAF)J
zRLuB&kDF~HtxB!tu@|vRf_6R|SZYm(bh{J|(z2q|&zmk_jyB$3>ofmhG%xJeZwD&F
zi8pnFobHR*wG7&IkM(UV)-V9GZBqgo-~CsQXDnfNmb;#An^VD;RL74xGD^_9|DIIF
z$}+}&>EGCoXVl=CE4q9<N)fu>?2w#8SFzSpUYjENd;DUjoxC=y01TA;m4}M!m_bTX
zo984QctqDdG;&vfSMBNhw`n&qjzhuqIZX`UdVS0(vRfW*2*|pab8TTNeiNHaZA>81
zX;!FdCl9)X`nw}`JJ^E7IGx1~3!HTwZT<314wMQv82h}b;3dB}kKH+TNb#MzM|(;R
zBroSRr@o;E^@+l15-S(*2hJrWZ^^=$xe-HtGg{bZ%++mkgB$oa8yiFNWWj<eFeh)C
z4h&sr&bo{6LRjpQ;*^yvwB%jwYG`19UAOp)kNWt)Uf(CsnL!qgoXuPz)iZ%c^l!tc
zcLES~*>>Q1mkeC+&3bAx!2(&{wkf{DLU5Pv=7I1s8R*aa6lZdf9g3CB)Z6hQP(Ocr
zZD5b@uWs-i{%?j8{O^rBZd8ate)*tsQML>SAC8=CKE(~kQu8k`X-EPqjkc+KoebRX
z=lEs3#seO;g0ap|q@c}VJkN4j27<#V{>Bx2&{VPbtjA<;H>4{tJ37dMmi?s~o;U%>
zwWyOG+>iyzYDuroFIlLSyr9>eAOyq<uE&@@%EQel<AjK0IXEJ8il~Kz;cJ0sOmm|m
zlx6>|PmGX<%+&%XXHhZO>?+6D+V^_nL<=RkLIHmBj9m|TAOY?Px&}MrD&QHQon<er
z1mqTD^aCdaQ{lzKc6@4JKawxIGOi2`wq<KAS<)a{jH{b3B)|nt{X;hx@nA{`ZEe^m
zyO+-*q|6#3JZEj(P>ofCkFvHU<Wf1vkMzuqtyhPDBA@9xy}kEtwvX<h0Jp5ytM)(A
zfMcqa=>vcE_O%hd+~e1tZu88k`~I46hKnQ|^;Q#Nb%(q<0+iwFPqE*dbXuS;>gOTx
zT^rgMuKAd*;-I=~!|9Nl7JTxhm2l?QgNsdU0iTcKAwl_hw}#gqXPkI(GAz&l*rK;T
z>KCZO=%g1Vh;J|Nw1XIf`-~u9jC8xDObuAG#J4G4d%0#GyUi&DFk7)26t6=7<rtS5
z7Y7X}^uDm$ZAOCa0Uv+UAOgf`7u(2>5~00bJhsY~3^z}_TfVusx4qIRXT;<Qa4M{g
zs!ZDi1~oQrmLDfTXuEals;vsd9On>in==6k`^_vzP6B-Q-Lc|kP=s>te^WXaOrd<^
zepH{d+TLCXf2DR`1`_#?(td9;g@<D6V`4pca2<{PEp$&DI9S^$dVQwQ;VhUcZ>$3R
zF-=zLt^$x?$$MJ7%@hdNtPI7@D??-eY2;iTJ1h)-`gAwe6kMvB(p@hpLXn^=Yfki@
z|4tNjP;jP@eakh6cv2o5D}PGAV;{x3qys}_Uzh+qT25d#l?8!kkAz<94pIg|S2~ek
z0ya-;%roSq_qaWEONDEVQklCL)L2Lcu3v7Suk%R4YVW{~iVHOg$F<J$bCTiQ6}tV-
z@}iJ*M)JUyDtfeG_l5hxH4;2ueUn=2wzp65wsu=znNYJ2Ny>N@!2b7LtGrG=aC5D-
zvfX4srC!FSwR=3)P;{$Ae9!+*GUFmFPHafox<Fd;H3sKu7%se@XM>s18#d1T?1=xO
z(4QL=V`%kgj(_IO2(OZdq3$F*3i%M>T-Id-Z%pm(s(R3Xv&8XaNl$i^K!5nN>Wm>g
zq51xMsp20tH%J$7R)rm@4^MNR;4_4|w|-U2QA=3UD!GN{2OF{!ovt`%VE_jzs3yOh
zoxp^=Q>GR|*ibD`efgzGeaH^VTk|RXhMg>$5n~WzLyr^2xhgvJAY!wdFxeeL33|!1
zPqLF0RnHT`ZTIQH^qX%tU%mZGIr1N=_eL@+>V0R~S$AF+a<5sxkFfhgVLX3o(fa}`
zx}U#x)45Xz4*Tmb-S3&97;hK5TnT1Hg5)bFtB5+#?#tc%&SH_WJot$RpT&v-xR(B&
z&E4}0`Q$aq=M@T@ZiBn<A6B#-6dJ0-t_@dW(@paPHz>s?4y$Upu%YwuSt@<EwBXjQ
z%iI+TTa-&_)JGYY*^q+ul#x1>7CiH{*%9H~r8HZ5=>KeBM>v<(Yf?8gq4}2hU6xrY
z<Weec@%<SGs*WAkD`3_Hw~K+ylly7V;C!2@!e>ro?k9P_DqRCgRVE~k6w{(lU4nCA
ziCoD1jm}A5B@M_%HZN3n=+OQLRG%GexzXcq->Ao%)ZyLdK+8YJ7*J*NGp^5yJSY&a
zi+A==2kEn!HI?m*sQ1^q@>XG9^hs^|)iRwrd<mA9yhmn654kvpg%$V^_t~6&&PpPX
z9F_C2P8MY3b4#erh970LKB{K$Bm%=#(?ciy*pR5)s&jX;0Lr=SEoUu4goQA^G=F&x
z)EI;}JG3l_WD`}GefkKH^z@$W%YU3GC$T}tGI$?)S>$?a=OF=3t~=N1t#hGaPQ#xK
zydvoNux`@3D+CZWvb^0#%YzbzxqnA@i=xo>>kkW@2taobH5o|rqJSPo+Cw$sh<In6
z5Me}sii8vAUpn$3wd}Ai4L3<-^55jpO(Fq2j!4%e=JKQ9t<J69b5h7cW87w9Z(r|=
z#(ns`DS%9;KU&qsOCw*^!AE>11n?I;Pl*l?LPe_yp$td{%_+7IB%CCG+}a@z$(?=Z
zB7N%1Tf4HzG@<<|P5K@$eW}!(E*3%Y3{Qv1R`N)DW+9re_g~MPDTc}uV(7kEZgXmZ
z0<vy@9XhK+gzk_az6aV8DAs(abnu@d8rdqP;e1SlmiFef;zUVwrPZq;!c`evU@|!4
ztfLNXQO_;&6Qqz!kW_Y2B@WROci%e<s6)h?%Q6}1(&(aR{z2ll3OaQ{o1Ijs0c9s7
zv-cOvpf=lFhAu5t^eWjRwkJXpVzx9FKUK-1Z(AQj#%$G)?(@5E*}}9yTIacIMw1*;
z`z|jxCq+R2-g8x~rE0_TozqY4-^-)iSK7py8wBKS`-&^HRR@eGwY^#2D<GxdU<Zz7
z0ur^DcNFK)gSWL8-V+-X5&cR>>)n0=!qqw$FL~>OH%|EMn=~av;<N7#?joSO*K5`z
zI}G5*e*^zw9F@`gxVdh<R05K0a9Z6U7{L(-{w3!HWmJ!2wq8~uAnd4;-;pF^NDMwJ
z7T}FT<<rCCccj#iqOM*&?Jx$4dJnG+KE<H`h1F6*Ivx#_Oyn2b1z1a?+xgXsLw?;<
zrq&HO)DSpHwIe`+>Sq<goKJ8_xF+$}-8>~kTfP&mb(aLeN`k1@9fz(g1aYp~DxhYn
zt}&-c68QEVG&<I=jK0)A4!l1qi|Y5sJW5j`1LwutLUDLy#MQKrqaGlQY&R7%&Nz`l
zwNC9rx4jawoU{>$p_N3xT=IE>y~yz4SJ2@Ndqs5WjkICDhX~SiTKIm-jSM>nt*!Dk
z6;P=s2X>4}5It#a<a%L9hL>#5uTSpCp^l^{DG@xpNM$_3@;ECQZi@t$3DnCX^Th-G
z!-Aa1A(T%lqk{yh5l#sTzA`AWeTe753KR0ad6+dZj099i*FI+mNh7|kmyJV>v?!UH
z*J!^22{>Sg8`mL;M2~3NGkn{jP-XTN_;&ylbp<8mGD;vt$*`EjuWOWGyZY}IJ^+0a
z?m+@6qUec=@rxr)ixi9E%<5`-fWN|{#{5RY=rmpHM4!V9MdEVF<-=qQ{s~FFBC`mg
zSDyM!hYpTWzV8p?F9|UQ=|jCM?c4k)Ui3(|0Sr^D!^r&WRYs8ExLOvoj}Oho*xVC%
z`I|!i@tEfFUqd)Es`TFE7!Rt9BMWvt?xzSe-yfM)GX%9Fx%<D~bD?V8wza_ieo8}3
z)W7av1L$!dKfck-f!;=3Pw4OaO<_75`|)C<KJZpM`DGfgp|^o!wWg1TC=8Wq77J|p
z@cqXAUa=i!l;2uB`Qq;g#eSUK%-TZ_K3JIFO=Vz0k-15ut&hhjb6VdyuGQ&+xKEo6
zvSmP4Odc0;&65-+)gsMv{JNlI_v`I}?{uhK_qIWp<SfOk@6kEh%Q|2wN^duwNsB1A
z4>r{vou`NkOpM9*Ys0OEryc(BG)RtkLyL;MNZG)Bk9cjN4d2Ex&n(waqc3Hlir0*m
zDObJJRG+-if^wzRz8)rOH016}Cup-uVaPu9V^B#892NxMplB*Y)3w9M5xh=ec}1AB
zEYt)w`3##D92K&wYMrU8+@zG?&8okNYC;hFT)H#0OJQ3z{o~HCP2o{-h>ytCfc{ua
zP_}uOGHa8;!f|Dn(*NtO8A(zDqRw6EEcm%giRt?J<P9A)8mkDi7AjSTC~9847$GXe
zRwtj7dYlG{lJ(?SG}R$evvV}}1Qj|j9LF^AkroxVM*Wd|Lxg9IabfS<s8C{zo%eYs
zdPFOIsN<X~5lV$6s7nt}BiHm8ae-9^BugzRNWVaUd$-22g{P=dTHrBDsv0IVGUG<g
z98Z9H55n}(M>Obu-vP$hWEOOs&vCRsjR2({e=e?t)1tzv26s{#8^YE;9p8Pd2CARB
zh?L88Xy29BLvs`k#FwBb)J~%Y2mB7JbjQ=9qo>~Xo8I9<;kAt~^t@DIpoL97yOjZ@
zJYdhy{m6|*V+Cm0KjXoT=ED|6k_oYm`^YM&@FEtclY(*w@W6bj?vZ*vGji4PG7x*j
zhhlQ|gA+fgK)EF0oVY0~Qqe97ZZZ}?OeZ!*5>Kgsx<te31UEZc)4=6AuM47wmO_ML
z78PKAno^<6%8Aknggkk^?n76D-0t6Q!a+v)>`(hFF2ts2C&St+g8mjWb6VZS!9gF6
z;oP^}$iQDLQG!Yw)ft{hw)MlomHTGDCs}z>(toPQrWGZTV8HCyk<&PExMaKY*pCl2
z5vQ)@cuOH(S*0UsVK}JFWgZ~U@S~dAl_AS|X+*mJd_B7w2QyV8LX$Cq=;!|W+l7*{
zNa(LzStz>-EIqY&ool)e{YUmb_&i4rUCh$cf03X9-<ab&s3k>^WviWOwW0ztaCp+D
zhv7lhd2q!@L=5$OzBBRbjUr0p-ITPHQiU_s#{WKONuaI=>B(Z}l+i`IGFevxHPGja
zZIFK{iEKt;ds0XRvClK=o!?IY^HS1jnV~)1yO;i~wBQlnjS+`%0V42@WUns^$e`7^
zzBmRiH5C5&>NY2%Iy`>=1~=g(i$Zm)_Dx+PpeIZ{C!ULH08iOB_v6`eC>Q+Z8I_5s
zRQw44mWw7_7h!3t|1FO~j-N~X*g{0SITtSw>$Je*cI^W*Nk!yuq7=?#sEz~zvv+&-
zbwKR&aduNDC3F^hI!cODNA88^MLmA$LY7Pmp6;?Ta#molb$_IevMm;jhLiQd-t1?H
zXxLs)-9D{+C{`WW;!WsST@7KYNi^lnF%?AD^QUMYua26NQ~mZ!7{j?D&n+8XJW@^J
zxY(6ML|=>O(hvT^pvCrBX+ts|**vK{+*?aP^o^#(*+u}xdyko&zu^%bqfW~)BQ>O<
zNuT1kw-=62)lXXez$0RB;o-w&D#-NtTz97g8J_vjb}D4y(YNRR<=L%DXq)Ah??y2h
zikhfHL<I1Nm+azxuTmb#B>Zztr#FFG@vLNa2Ne`lu2zs5DT9V=nwL#YOyJVp4z|-y
zI28HeZPeN0lIRf1@hNaOfoDw2-6gWhXz}c1V|=YJBGegJ(YlyG$fKvLU)mK>xuBef
zk{~~ldiv*xgoX(;s|w$1vr#}1)BWk2)Lf|C>fW{Mt7KTGKYu^xKRI;QzNTlGixE{%
z-|?Y+L<VgB$WxZRyR7TIbYA$~4&`~lCB|#!WcYdDf;(-vH2NO^0RR6Cmv=bUT^Ps9
z-rHmEy*-aTf47lQ8KKgaL`5YDscZ=;iew~}WQ7Wmc<$^%LdbZnC`7iVy#74rk8`eb
zUHAEXzTY59+h_TeMe6n2b)ybLX7IZzwZ(N@5_@M>Mnc$!srEbj%j~?(AflCFQ0;*@
zx|Pi<_ANajjQ$SUq^to5_f=h;xhI0TvvDe+&O?M5ZH8TH7{Co$z5F+If_Uw{0i`DV
zE5Z51Sw@x>;APGMPc?oLCb#!RlyZD08Y4vW=`{%8Un9jN-sQ#Tbairaii^a9cs@Ro
zohiJ!k}q`4o*V10z1>GXv_wd&+rPSe&IAgZC5~P`!-0x3kJ!WdmxuwD#IBl5W0<-g
zQ1APQ1?lYMN2gkrh@+nxx6ySN!LXixqKQ5u8Y=RvIXW&8Z%3l85llu<!jk)OS%D6#
zI1^1ZZY&Z;E6rp>8$)1xL=}ARvlWj`(Kzd8ED&$SME4ckFaX^fm6L2+|51M)e$Y-K
z%@d*l5_86b`oKybw5nV6i^{>bp64+zOK|c$Q@p3958D)?MA%kWsdm0UtmD#W2+I@;
zrHj#eK(k+Lss70l^-ET0n#zeOVp3WBQq;IE>}t01RF9jdvfXxSn|Js^IK&<?zi6oo
zhPy?sbVkfjOI`+)+}=My{QO}SB3P&cE<1nKP-VVQEo>hLy-pY>>I@>@D3Nr)eDp`*
zoa;E1k!~qHe|D7k@3{H>;Am~=|1zt*RdSfR^!wRt(&8{te6n`!zn@xAWKge_>idc6
z{6VSasK*eYmhxO*#a9bT{NvW5qPwXRwUUDjngc}m!Tl8`-zXrGo7b5f^PYO;lt}yK
zU7rZ~^QUN5PEw%yveSR*^37DXwbH$-4ZXyi{$($XSu$icCy$!fAa&k7<EPQp9^xuG
z`gflrgYUfIn8uC@>Sa%XTAHMfL@NKy%*NlEK(C{mYxy&e`tegmk?2@A(Nk6XZT6}r
z$f{-Xl_lMv^451d=lgXNH$KcZlS!J8ezRpHL+2*(`MG0(ws|+9X*&|}$58`@z=2M*
z>M^nKtG>H^XE%{EJ24P&NgWs)FUL*mJtHE5g=qv5yNUM|5x0s8)c{LV>7I+eBt%7c
zZ5>%Y5;iNAwim`!VW!<9_P>JHgua8q*Tb(q62H8wWeP=A!RP_=p{pB6oL{Uo>$=}V
z2x-)nDIHRQh4Mo+H`3~fZl=oAudjNErplAw+aD@}i1JvNt40&ie$Uw?f$bBa@#}z4
zz?>3%QEQ-dx3&;td+xG&-svZH&eL{nHBo{jVcDQ<7h4I3XRJ5d_YV?+g@UY3Ns6FM
zKKwS!>^<S;w%hB!gZ~jO7ee@LXB2?;i+(v%>IY)4)ts(>_6UKJHBaAJD*)pgx_lkk
zE+R9#$3TLAj40Sh=6szm4-_NaJuL0rg#Wp;lF`s{g8AY#E;=rGczo~IF0VU1MEU!#
zT4lTw#QpLJ^Y~ynnEI*_cR0F_pv=3cZvQw*REJAS8c)l@bd|uQ)%|{=Kkl<$f8$p|
z=0m(C?Lk@K*N<H7m>wiZbagaxbJN7R-TR((bjiS>_zPSl?_t6@X`k#(hgqUzo3Gq$
zI~kBs?1&jm9wib+oT6lwzY|6hHP_7Bq#<r9hTfkvPE-Vjrn<~85Ka$vo$Ixi2Fc_u
zC9B%cgdLB7=fL$P;+F7}<{dp!a97vmPj2EQ@#pb{2Z#5p5Yk~xNjXQP;AJQW^TAtR
z2|rgm=QPJPLcOwKYHCgr;!M--=eJA~O1nksTEl)4@{&}FVwfbP%x5UO8_W{$Slj;n
z>~F%BvNt)HBngvpEMsdk-wEK#iIm7#C$cPAW9Z!_fSjiM&2njhD5?%u3bx$>UP;2C
zqxZ#O)NV`NmeeI8rL{Ou_WM@oGI`8T_f-sHWA@K*oLC{Y44rlVO{Imhz!5q=eKBbI
z&w97@sWpOf)#c_;Jv}@=$viuDTNJKFu8+|_`bqqGe?M1cgAv4^>~ISFBLcUcvybTt
z{vlR=_RxI@WPt%&>k%nm5xDq(ZTZ-Tb%N#I$Z0ceb`X1HZW6I941rl`0d6O^fTZv{
zvnDYvNPBxmB`Zc4Y@BGNGI?oW<bCdif_L0t$!5H7O<frN1)LNx`bG=k95x!$IlQ22
z-TfkaRtU(X^7fxA^iZm3BKEnIAByW=fAVS&g6)3k$v<_NAgs_%T5DMVeA0IwUU(%0
zPA(p*jW1Z>&xt?cnZCksEMq8kqDKhM=FqI{@MnkLaMoZ}O$?+$-QLTK3WJAZ*Z7nv
z7pP9J&rJzP!n^TDt1NefL8g{I=<GLcFw0wOv#*hY%((4zDRv^TC_}x-S<ef1$T{Jw
z*JNPBBqpiaUKAt~WB(I)%MW9N*^l@x%YpV@Bfb15Vj#%$B=qSPLD<S;*1CR20Z6y5
z<*%NQ0Di}kiZmZ#;1vuEEc>Jcdn_EBCc7jdK{P{#ky8vjM4g#VnW{pJ&YR1N2GU?G
z$nr&TS^`=pZY&Shsl$N>t~QTXWq_QWv(Mv-6cigj=V&d~gz)oepN4tl;k)ca+mNIT
zcpY&2%e9pPQHKZHYqJ!A+o_8F?vO0B7nKgAJ7@tz)!nM{$11?7+V2rjBo99CRld>O
z)P}?3fv?3W8X#Iy%Mui)2%f<Q<$sjwz?{cT8@0z|I8JW3KXY0c!nafM59R2>x4g<u
zgCANDS2x}8V23IcNu`@F@74n)%NC#4ak_vri64vk)q(f7x>5WyJy5?=9vHOS02-g?
zikDVvz}(^Ule9T{K;jTR8g69_6Nih^Yg07AxJBv2fS4XE7A$J8TM<yRYkojhi43bg
z`R%MEU3h6b^;}ED47N4v9umGu2Fba2mS@+sA%MSfkN72XVD0}s!j5FHIp(-0^Ew46
zOJ+*k&n@8cskq3p3Nkck_gOfqXhO3=FRj-zO9=ho!d>S}hJY_GCKx$XAfPkWJpRl!
z5Ib}BfbF~{1iN{K%tgyVvX-vtk%?_k@quo+NLLeBNrldD=p}*SRYOufuN9mNaC&W-
zsSZW%`aV0-`N5t3io#_YE7-4nG_2{0DokBE@aD_r{K9>~oYq&{fNNey`mDV2=G@d7
z?ehLkTn{MSm1DCFSQN;atc42T8|{2wBW9YKv@2QqOr<55dkyvoNXUTz^S;a>>Q?Ny
ze~k4Oza=zv<nDcPTN)@r)^5oKEGRt7r<Zfm0=^GVWWL+v%Hv6ECWSICTqLSJ*<YK(
z7J2o%=qUoBLo`%9d0u4qX0zt!F$aO5ZL>b(B%o&HsJr#@;dhJQI*Mn_fPCdl_Ui&3
zupEl~sW!)tdF)Jw^m+iE&IBoV#IeJ2&BNxw8zfYso4GBr4dAVT<EV-k17yBl_X{2%
zq3y<=+JP$sbUALsS$A&`slpaxL(?RzleD(F8)XV>IX45|l2(XQL{HahCkgK`C3`B|
zGXaV7NA^0feI^dh`0qdch=dI(E*5l6#<0clF)jbo<3z}wNs5g(3Axe#?t^tBsC+G+
z())FkS}|(W5vN5$s~0H=G3G{aC-F>EALjzK=bmz38!ZX5y(`{&+%|;1kgC>-@ipqL
zchuy{F@8*Z9d1OLH-I?Z<^2`(>(ts`2F({b`LX(+=4zgc0c5v`bX>C8ifew4cWv$E
z$F%L0*IeuM;pP30fe+hh5mIV-{1^GL!A#?3yrDkS${0s3i!$JS4~?TnawI%w%H`it
zr3WW|w&mFX6Mk4`4&CNQLI($St&gAw+w;e7lmH99SbV`E+fPC*OV86MI&`6#$-wZ8
zJR7clw-=M&FMt-tqs#%vbzx+_!j<(GJ4OsT`FpPlAX$&jZ-Yh`=)x~{xl%cCEuE!$
zu|N?096C;k<>^3WS$rv#%7wok?S7XTEQGZsmxI?`bbz7dmO%7<ZVYH-4L9@<#+i!=
zjibyu@b2x2fuL|6bjwOBitrLa^IunOM4Gihd3V&EE-zl(uD`N}H%b&+Eu$QH6SSc)
zdV)RHg%3Sec9)&35<^bEd)#IRwP7wt?v;xzKW3=<eClJ6Ky&64U3DF8klgLJQEE-X
zDSN}bY8^?mNNR)&g4#gsjPD(E6u^MG!6R(Tl9=yS6N?PmP(W+f)_q(MM;CuO-+d*8
zQpAa8EnBofpWEHUB}NDxxivf8;-!(A=4b50s15m=U#T7C!dS~wU?S}ygN-v6B$P$8
z!HRRF`oy9L{<Qb<v$l{$&*<VgNfT`_UnsMgG7v*0ftasD@^W~D(d-D_8Ex>D;)r~4
zLmWLHyz-A?lgBpIiOD;~+Hfa3y^Q)@0`GTO7M)s@$Fyu?p6HFu_kPfrH7}Axmq;mD
zqDujH5*#_MM|GglB1ZC$hZHvL)NvpeDx&c~g!RdfI?(;as$5r68WU|5+Li;A&}SpV
zq}5e-(+f?Hb`MD-!;jB;En3PLM0E)@{;ms-Ra}l<sWKS2+;c6ZUl|`dw>oks>p`DL
zubhg5EdJs<m&4+rf=039Po-@2Av8USmw&4qZpiy6zi(H;i+v}~R<RnuMk1+YPk|gp
zzp}Qj=2pcC>j$S2`VBy&@%YK_*76vsc(YDPMHQR3_HC^!F@%E0jq=sK@@Nsm7h^(F
zMF!XUC~BM$(Dt8;O?6hl%Kq&i^ggH{tCc^I=V=Uv#s?dMsuhs2CT(}!UKRZIicx}>
zFadkD#P}puMNHI>Dp7f=jIZhod`@thLXbqGb%2>7_Lr2HT<=ms+OyO%Y~7}?CH>(H
zaX=AyQhoNewJM_byaP*mGyysa(T585Dq=lf>aCb81r)J~;kd~S&{ENqrlPBejf)3_
z+IPug!ripD@-6_@JGp;v`JsS`-)@w=nUh7SwGRfau>gjD%XP^a3OM7Guub)n40ezw
za}SpS@KFnMB4ib?`UcI{pES}~uDqbX*aD!|VHxY0B98_E6aBRblDI!z#oe?Uz)4Tm
zcW^-t*H5r|7Fvm;K|j69NCyDT)ef*Vl*3E9W>4r+L{R6pi(3N~pz+#MgZ&p|F=INR
zHk?}s-+wnzkjw!vm5y5Mek_A5OMmtDHIVRDnD}-35P$?BJF)W}(&#o+sm<_$58r8c
zJ5n70{;plqYFm{;+d8Ko!J|BgLz;QxLI6Up?dB9wDYPW4>iq1uQNXFbOY1cOwE;J7
z=4_M1`T8e0g^Qf1#+k#l&xnBi7X@3Rr^Pq#`?ALx*^#+P!aL%HDa0>J@g?pRLpHUs
z`mzmHe7Uzpsa)O^NKB#KJpCfrRLJ`x@5v^&{vODCddCE;?MJ_^`U;~$O}Qnxgc)Cc
z7<@TSX9B-E8^nC1gmAbt^0_`cGamGu#CShr7`dEfK|d>iw9{$EGnGu(@muIj-l!1>
zj6Qo@x9J0FgM9X%d?w_T5%|XBXaq}w5+SPH{ODbNu6+0t6Nbzxu<Utb2(ex{`d$ls
zm}1xJG-Aq(t(;dz1$7KTv^M^wwGtmvJcq86dzo?hWp4VLLIb$90<4}_c(J@tm479T
z1=$_W`aYF2fF*MqEA?3(j6L~fMd>OluH6x?QhB5gTo*1|%=`18dS$djaVi_~&>bX4
z$m#>#+pyhVNt>L!x@IHW#*W|HEfN;;^}wt)ea^m<8wWabb0?%YF=O`c`4?Jxz!tJ+
z@6kuxSYR-%u)2c_eczkXGS+S8sT+(X$F6gueaWoe2#Fh$Y!%lOck4oZNWXDGJU6!N
zbKmoPar3-aoiY38bYLxX<xpleH!f82cRm{8LGQ9@x$!t1xXEEC{qh|*a`J|@^L*k(
zWQ(R{SJwfnE<wD(%!4^?Aw?k*n|_}WzpL4&4I>e;zuq6@!NVcDw_l+lq4r!BPtjFv
zu!pbFh7CNp>*~I-Qi=e&exYxeHr5869Y?O`6TFx>mtb3SK@d+-R>ItVYk`!(SqftZ
zFXsNIv(30o2=f?@t|U{nK+q!9z}}A!&zS#-DAg6gPlLNY2`6a5u^PMkQA+&iWcc-0
zK)EP})XdP_Ii>{{|5Yegtng!T%|(j}8*x;1xuITdp#@LM#M<Y&N$9~GpS5E_0>ww0
z_B*O;!G%PNa<ygw%$o}-80e8igI0?)Raq_A{lRqk_<KPd))7`)e=UWx`vN%h<h5X-
zY&8Dlv=GLIB;IN+l13fpr=uP^THp?(u`vM=9Q!s+FPbBR11kOX<xX0lAEECK`$REM
zAZpzIfh;~0A8Sw#)dKl9j5msl#BgUrQQF6ca=7o^-}$a;E#SW%==YaP0=1r7NLD<S
z$E(c-r_-3V;Y;E%T5EGjyk=>kypgMb;zVJU+evNc{U!VF5seh`4vEaHK2*eQL;5&8
zs11AH(_A!dkwUo>Tp`9ON*FMZ*OIX55j=E6`Am{DUgx99`WU2)k7RyD-ubNqN6a+r
zC<kTmgJ|&)bsH5FIy^V`GIw*Xa{v0P$;;yQhx(J2>niv(b7Y75aXpyRH?ny=D~lYV
zTnAc{R56eHy<Ud4K7_a_9*ZfG!w=;1dEOhUIPPP*YmvtQxI^Sp{N3g8z>O<cNuY*L
zhGSoQt{XsUrPQfz76tr)e_h<|)lm1+zp--*hA`j87C7@j0b@S;%Pq^P;fn!|XWd_o
zAfWKGB8{vfhCNXU_*}1wVqI5;pA8$s$rhh)*Ao<xvDi6LT0s@9!hZ17b(jGCvU!m6
zpd#{D3(LQD-1G?f;ZRh$DU|SEQhdmwgc9v>F6$P`xIeMD;(8nb0`G=>&I>7_%Zn2~
zPctat@9%=Kld=E|$FA(Sy}1rs*=3x5UjZGI4I57f0-SG~<gDyeM5F1G6~%&^TwibV
zmaYa^F(S4lTv9|a2W7E^OR{Kr#`$OWcYsS<w_PrwSH#o)??l8tN@L0B3iB+t8Mr&|
z<4*HaK;fr`Bdsb@IAkW*=Ob$d9ZwTJhBwON%aW>|d?5*3?vv`CkT(MlhEv_zH1g=E
z@H+Ixh6vh@4R*N-n}M-U`TkK=Ih?N04H^>=!Yd?RTE#79z$;UGWx`e#r?h-zmwiY$
zxixhETtC3t{y#i9hh#80#(BFY10RmeH%}kU2Poa1Zgap#8cCVnm04f8@u>CLLUUgL
zPS*R=>ldX^BFJOACl41^_jFz|(gav6e(owBCy8B_<MIz!*l}^9zrCb~fGby-9=;+Z
z@L;8ceQq!do{oy$wQNp+T#<cv{UtFB6Ju>v^I^htyWYKd1*UL(##^DJO$5ziT9PL}
zGT>*S0QyfHrZCuA%sr(ejEqq#hx7C4v8sbNl5)-jJ|rva{jCy2y&fW5WrPk7Or?4V
zbQ^<pV!^H#n|W84toZE0DLO1(wq(lIF@|}^L_$%Bgq9uFe=W`EaED-RT0xo-JSuv4
z`|~OvGVQWCWVN3T1NRZF6B~x0>LEI~y1<KrCrZi;p3-5BP(o?X2}7uF=1AaT;YIq;
z-Q!!d=rK5&^URlz1~B|pbtw~gF!Sz;O!g!_?r=Z%@T8>y2yjnieYnkyXP!SJX(I!w
z!u0J2FZIFYr<XI8W|QZFcPB<`8L{@SHPNW94-xP3h*Q_OFyYwMgEhlU_*XUf99@AP
zJi^^gZ5mw2-5;`1EyjZP+pY@4E9rqwlx%-{A15xIcL}&1%!<@oz4MVzb>WNG$%FBs
zoLF~W)APv+8?KX{)(h+E0@Fm+1kY|xl=7(3U5e*G=Kl2UA@w@ov8qzhvxgH?GL{*F
zB)M=<K>Op^ZXHm0AL@8Hk`n`?K1FV0;l{KREFB?p+Th*ss%oa66R)S7Bk1Thy+@`e
z?!;+B7W?F`2dZ4?6`UM*iGvqS4!3Fgscq)oeu>_5VO;np@mu5#Wj=J`U)J*K)dJ?7
z154UdT$p(^T1so*X5P=kv7TrxP%e}{)^lvLrB!q^p2#5Kp4==yRbwrvza44jy3CCX
zq$gX{mjv+lduF$(UzE)PsrjY<4i7dTKh1ODun>m7<72x^rGP{1y~$X6UbGwwt|5&H
zW6;Z2M~4z95MGwTpDWCVZ>?X>)CG%Tj5q84Q^zS#P7b)>|A!B0oU|T(R}n{VRx?{R
zYYMbl__iBu_Ov|@YX)jpBv2=~to5N51<uCBb{hWO{8w`seStHQc-u!=Oiq;oFHhSf
z-V+r>s65s=I4Onid>K-*$rNxKmtFC762h885}w`Pq;bW0cwToK1+=F=%Ou|u#sK#?
z2D3jh7;ruAkMIc!MBGWrc(N{n{#|qa2|RM>yZoO*d<F%!8*?xIIwywl_YCjd(vU}^
z@}x6wM=4-&cJ_$hFL5ln;d$h$g936qkzMCB(1P#@`d7xbl4zW=ec;O(MGQaL#2xWi
z3!42#Ont?qP$;0%^Hi)7=3P-v6I9R!!E49-CVog^{7H(;TADHr-{5kMtJQ|}pL;Jh
z^-AMlTzE!Sx(Y_A`*vyg=)mN4KFQvfGWgs4Y+6N>Di#Fpul}r|3$_aR7Dw*NV&-`T
z=LJVKv|GC!J;tO5J-oJ@`WNKTG<dKo`G*>o{4vVOS=EDW4Oe;^x65OIkjLR}Uv=c$
zb(p7ZSsyNXY&U1&S3t2$PX?88b?ln?m(8%n5Y~c+onCb)V0hoN)UP$_c+eq<o1J6?
zW%6%(j|3<pNpr36X|y`V*B<RF)-;AD-xR%QIwiDR9g1RPR>uoXIohkXCcsEP{%!h#
z5+-TVXneL(L(S7Wr4Ju41^v#*i?5rMa5`Eoa~@Ptu0>x-?Jxm$rq@DymX%OC;zV%s
zA7!-o_SWQ!96;=wizeTHE8+6FEt>y@C}FnxuPeeg0URDMQriZU&}#UIx6H@Q-l66F
zTyYBE@ENbuZnu@to}s-fkWn5(>`zK6YM8;)kw&{#xlMmZMxGv#lSLP^L5VqcGq}Mv
ze|Ar@BGT9StrZ$e<Hg%zhP;txu(48_;WVy*6_VE1a$F_RQs7kX>P<5k?l8@t;#I&e
z5B|j@vxp%ntx)f7oEc=FK3qDiCXb=Ii!FEV3L(A3;Fl<WGiWHQ;dRxK!`wmI&V#2&
zC?nBi_Q=5uELn=3?`X*4dhmrD?>Juc<5_0s6gLB9?UW*_lng4=PE%+8aiOkhcjD3*
zfQ#xgkrFOxH2b(+Kr5LYxxY0;d))&Fb4h9I*dm3FG-Ri#9%dBPZZL6k0+@K~FvT=0
zfiGk-a|fy!P<f=8A&my$!>^4#t*>I3y0<OP!H5nyg=tr$ju2oN-6|FHQv_H1&leHa
zG*}ugewlmI@3i&$3#PKdSW4MA8PvH2dChAzS(#0Nwc*)#*l9sr(yW+cOx>WS&)>UL
ze9#0mJQ_a)_L9(o#iqH`{vY-2!*prWXU1?#a&hIn8$V_l(8WJ4S*KpJF3l=oGzODB
zW$)P7`0#U5aw*%xb?U#j>N8btMo{U^mTcb7gEhC*az1eVqb9f?`ab^J5MK2L^Jg`4
z<LX4=gE!Ovs6tO-<l;pQ!Rb6^*!6Ou=*~fx7LF}=LU6y!k5B^$ves`grQ<>kkuCrF
zIyU!Xlzd&k>O-VK-Pp-&4t#w%<RbTrt$5UUV4~AWAGVt7>r|d&M}tt7qYuky(EN;F
za7djV?7VyP!n2EP_}0RwrLmJ1`77nb{B`xfe$<#Hznm2%#p1>vGtuL>mLE+`#kxRI
z4N&KnVa2wV-~UWq8L;ZWMqQkWF4$lHR2)ZT!E6hzY)fRs)u*!;dy8}+{pv>f!Zj95
zuO4S)He<%nA<p@FiVnCYmTo(Gg#}4j$DO<eS@3e1FS}ojHc$pLX3R5KFpL=gTaw6z
zVrvWk(c5W5fwH{3%@_+tPDtNQb>~1l^slOLObhxnl2(1~S@EpHe8O!dE);NIj=g(H
z3uFj}w=CnVNS~fCzK6n%-aXaAtRkCz;o3iik_<L%$*jKDzmo^~uX^6LLki?&1*w=_
zVn>=c`dcpq^J2?T1=mY&3bY+RG&UW^fs-yAF^RAFP_V-A)Kf7Eu%}z3@;>FnVTPE`
zX?!F!AjeBR=_SL#p0wZOO@EzxolyTLa<kX`?Fv#$B}34ofI|Z&+-P}tFY>Snp({6g
z{_qhpglZI?rsv|pQxBMzB#MQR|DlGmFPRJvNTl{{KX}jqbS~?Aiz0(D?~hV8GW306
z%hX%p#kwn(-N}~Xcqq57Fn&oBI#R|RgBbadg~KnPUQ`mz&L6O6n$Uzup1qh!CSmox
zu=Drjq%e)77G^iD35QHd)@9ENATXOJxNq`7H}`u@_IFJfpGhw}-6n`he>q#-++>iR
z^1|>q3mFVuc0I^45yk@vzg_$jWzldduuf2q4Bi>=DWypSEmj+@jlYxI<l&12y8tp|
z&pH=&c#5HW;?Fiyb_KKz+cN#|Eg5zs+pFymlR#7ZRJWZjipV2oSnz^E0V~eHP91+q
z9O$W0AInfe8izhE#upT@xhLB7&0PwwWmr9F8&<~u0RRC1{|uLRJe7SIhwZ&NW;Vw-
z(>eBfZs!QSmC}+*6b)LMD3p?ls1#C>5z&xY5j{UL%FL={L{>&t_I&+&|9yYH*L96J
zT`rj3$b?l&O)AMn1Kp9eDyonrBgR64P1p((y7HZ?T6bt7p_CUJj$2aD#{|x)J=KPg
zX%{%ZX}cEMxQD5^#h!|u6&E$R<`}`D#syJZCvCL;pZ<9@Dh=(j`Ds#+V+=|muTK8{
zkBG#|9;Pk!(~$lbkq-~5Oduk5A}8NM2bCz<tPC;fs54w}acssEbjmxZl`6VOG4cR@
zYdak^p6)RSWtv0b>u>QNMs-nh_2U_3M>-<3I6bYnXaO#A$7Q+F^pFwe_ws-m9Vt@}
zoER*(1c@T0N=Zx~Io5nKX}n8A;=2R#iK5mJEhkl-o2QS$+B5Pe!>K5(HpM~G0fQ#3
z!ujo7Bs9m48NO~rL6?83-WM<dDBn5d;iN@Eqs8s20}n_jIDPS^{|5k<p5Jxr<w@vF
z!$B%JUk@!SP=Y^FY~X&wm7^9N`ly-2+8O*z2dR=dXXe9fz+I#3^p~^x=z~w}6z!}w
z`gJ~^7aDB9@yg;I=}tW~qGarLilK@44j-t_TD5_$Z|vPKRrOHYeY8jSpBfUQ*mU~J
zvS6uAA=lYT7m=k?(lTx-BR_kNt2t};5?boQXG<NlXTsLT!b<^3IV{PsxLA-CJNb&G
zMMMHwqs-_y0!q4>+7s1g1FF}&+Sv<Q=*USgnzWu2`njjD+AY-v{(DaJHZIpheL@mO
zq9BH%Q^`*+9<%{G*JVyWTmz+l&F{_R5=4oOa+(PQ8#ubXX7QPmI?`T$`Dj-R50dD$
zy0fVS;PGVjps%tT@=bdC<-sHe(rqd!Ej$8HknN`8)u)W+GyPuliZ0>m?lEN*LI83!
z-9(2BC8RCLt9LYH7MIPN+BfQq!PeRxRSDq=sQK|fw!g*{?tbxjCTE;AtS-5V%HEYj
zNAFHwPb!(fU(jYRC;qeor#&5e6$%I_s`b{)oaH!fw^Zz_r(y+``WiwU0y3zg8qdq=
z9mNYy>`jaHv;?0rMV3XN6uKj@G^`&wiu;W8H^gRI0C~uA!&P}nq;-CzB2jk?U+<Gd
zeY|82kEB!rXS2o8@AIU3u`T2Hj@rx81CHj<aWdjq`9)FGIlRa(?>>QF$@NZ8N;QMB
z^bAMGo5F~^yUXkSyGgt#&b+>jW9?oPOq2dDh(c^$T|Bd43g<Iqzj)|w3V)C<%hN*u
z&CF1J(uHU6_dY~wQ<(__$90?v)#FD+u3LL-XJ_%_HMV+JDJF33Rk=}vHXo95I<I?#
ze*qW2Hm>^kkulsWa&0f)!HZ7i?hutVTf%R+aXZS07{fD%&$DW|JSe>GUcf@w3huV|
zoOpk*5fCi-bOx+=km;uP+wKK%pq(6<J;F<dAiNzLIWftN5^XlL9RAFS^0x#suU|BT
ztRX{>19jZ!@7$pRRV{8*YgatGbD0S%6p!G_dTzAj+%>=XJ`dWewA1-U2opw~drxyt
zbE7(;;(NVvd?@45rOmn$Oh^_C53RQ3L2AVvPNY13wD4B{kYgeP;&-^IS*G!z*Y{my
z^1TI7vfspgStAAv=k~Uh(0NgWKdN-L7Dg4`QI=_S2A~veZKmGNi^QkDm1{FZQL{{=
zJNbkG1Z30uPN(ys<FjA7j%*M|VQ1NbJrV}+IH@3CDTW_)iA|PPf096T4Oa&x3h6*V
zI(wT^1(2mCzXo|u5~cQy*a>^lq4#${Ud#_c^je~3<{euawO=&WF;$_1qqb^FI!zeK
z*n67nPnSWbcM@XM^JwrFyRCiul?bvwv4tqDD~lRD*8g=dr$L^gyZ6dgF=YJ4!lANE
z4m~^UBx>@N3c1T;1-{}EsEs7%y!VO%x=<$d;Jhyto{%OzEJY*{XI#0<-F-^P^jnsC
zodFf-Y4T-%RHaZ!ZR5b?9%WQrXp`>5Nrik(otUQ^rO|A0P7n%EMW)&pqul;bAp5QB
z+?BgB=(6>Twu9YjXcteC$*VyMe63ZQjvpf+ixMaCN3t5oJhQlYy#N&o2s_LFc*&t`
zRVDU2S55RoM*m-oJr(jkc<88eD4>vg^FDp~T1f0BR_ghZ3aYYQT17dEXn%&@^JmIL
zv@2}=g-R0|u=jT4R0OX>tQQQ=#3&u)Z+I9KCus1jN3N{&xC(M%_tXSS>LKxVsim<K
zbTIAq*oT>^A!hQ8Mm$;{l@~3?Zd##3`GjS|SqF8L@hhm!M}dq~Wp?S8y)=L)i^PUw
z2Q^Sp-;{@DGzB>fYM-S0F(ALm+H)dA6Z!9pv@TzzB9r2g_AyT;gs5-Uk$$a(RKJ{g
z<)lML8RexlX=e;U%=uxv_;+n|Q1sTfib6X2pt|+$Y@!iF*8CT@VTFiZeGdK{%``y0
zktt5bqsFjx)NjsKSr@gO&plBdW`HWsvSZYoO(EGYN1=eChmZ@N=38KZOcKj-Q@)u&
z$>P@5JY9VhX*js`)Y@HJ`HCt!WC2%6?CtG*BqUWdzxUO319W8N7Cc<Egm3((^l`Mt
zm-qwfVoC<+L$co7+X!orKD~a6?G`ffXq4aB=SN4e2Ty+9AONsAFe*ax6&V%v_=o1R
zXvl|KlB81v(5w?W;ND0^660gHw3!qn!TZg$YTw#!C%1GKek3E=3th6ajrvH{^f9M>
zpA9&Sx_K;}BBNIiG$+H1b&>uwdwZ)B3yz6|ebpWyAzn$EtIm0CbiJZ!n4ZXj56%kH
zhjd6NNGnf?@3{tg$KmIAzn%q8+oXJYjP%ie28#*rDpU~&T~w*>VnMr1&4R0f9?~nA
z*=!f6hzM%gL%iQupk`5Ap4X~_wEOoStB4|?pe5nh-8n2Em;BB?aG8jha;_@`RY{~u
z7q<xYXTbxz3$N#-v{8(jkdxm5AtXo}AG%Fr!MdQ<Q}3Q=q9a-&!+RfdBekh>&bxou
zK<s8ucZ!w<dUE7w65hCo@817c>AJ5C*j>nKSb3v{66(#hgaan=knr1)<`Oor*~&NN
zdbkQwyZzj@K%yW2yl+ulAr(NJQo|f?QbPK*R_*?hE%>Jur8rYlfKB^MF35ud;@B5`
z_p00*yqe|9e<%h60rMBPe>KaZCi4B#FLw~8l~bSR@zEL{vqbd{Mav)^qbhDg)>q8_
z_kl8zAuD)W*=p%<O$s#)bPA@{He-QjR-H~MT0w1c@!i1$2_&jgbv!)g8|EN1*+|}M
z35VK8zBt#5qQCy?0cRQCFcVqthL~^**v)>D;`&|)DF$Zl+pgA(HT^p#Ras*W`0HJz
zywm)M$Bh(N_2nye=IVLZ9BFeX-Ek}8)s?mV+<U5gQSb})U@j`u*xd}U36UVfUEHXH
z|JIG=Js+`k$9->T<(R_I?yvl8A5OHQArx(umV~iy#QNC_nnK<4IKJOetN1n*AsPOX
zm$(OYtDe^(6If)Mv%20d;adOw5@S6p#gAsA`5hI;(DLv2(q@MRJjc)1ef4G?&iA>=
zzm;SR54BH~gqh6Y>GjppqO2A?D&-LKOSBOLd~p|h7C3`zgybiGVz=RQf8Gx-a2tWJ
zaQ>6SQq#C9i?F3Wr3)95v%kOL!kVvkirhOg`VSx3;!kgQ-h;;mx(YoQVS+xF&sl!q
zf4E&&YU9nUe!L{=SaZ=~CIoCA2=h5OiRW$gIMP=#i0@1-t;*<Sz^^c?iF;!c_)KAd
zPH)!;UdFSom3^22;)f(I$Y)OA4%W%P-UyE4Au&T=E({yM(47a2!;dC#>*`-eXWmTU
zZbC@g;G6+SKd=tIl|6y0&eu0~9sY;MP<(YfISgQ*j$0pdVge_OcBgD-Oyg2D;uYL?
z>F{%c%Q4$|5;xJF+2$`hi*IqAY39?U!`mwxdAfQg@v`VlQmNcLe%NHAZ`~Ohq}N(r
z){Fj!^PVwW>^EP;->j3nZJS1gfpcxP0mr8BRzW$T(U4`FS{to;ri%h<4|68$j!ffO
z$^T{y7FThxPf>~o)hV#eD*NoYTQm4X@)Cc(6DRuKK5|^oiwx@bL@s$X&En~*CIhV{
zT!@mGl=bHw2^K?&6}j!_@sw_2xT6yfD$(d5)`^nfu4U-0nEnOa)%TBAEH@vDP1>d+
ze@q{EL_CKl@|N&s$sznwJ3qSjPNPNcs~$9x#W?rpuiy{6cLWG^38GgG4a0_3df@nO
ztNqvW9Eg0=@nV9M2=csWc6B007u2No#IL^QM2{S=M|AtG`D#tI;+TOhJe{BbQ$Vc0
zZAju>^No4!?*4EI6qlUoF;%Dor>9#E?7Pf^lJ5Dh?p%;W1cyBSDMuZM+$Q}|NrewF
zp3D2+2$M!~Rl8rvj1eKDB8VW?$B!Ny;X3Py5m14|Q+nYOB0QJ=-u!IM-+I4@Z~Lnx
zhi-?vp1tcrgpU2sIquC1qnh5FFtVlsf~DDGu{uO3JbGnov7;FJSNdeT=58f)anR>G
zU62Ur2kcCfPe>qYMWsh(u`*hH^j4R~Nd&p<cE0QeN%YWXn>C%JhLUI+$NQv+u%Tiw
zAakcQ`kL`tNH<CyDY!j5X2K$Z%^O?2yhRygWiWr+TSgNF?fE#IexC^JH_u{<%4Jc4
zSMGa-94*uw_>$o*q66oTKA#NDmq#)VrXjK3L}Z%Xr|*`d1KWN`jGnGhM64oV7q+D?
z+8I*jq<mW!N{(bQHwi1F5nyc7*V0F#$A8+kCF+5JbN-V28CBG&iA%jyCZqA!-DVr-
z^kMk(kKUeDwY8nhbdk`YqFnhejNOmOP~G)Db!@i=dSn)NLq>*<hKAM^6h*H2&&gfM
zVx^iW)qkLDO40yzQtG*kPSPR9M|zmwR2w<kD2dB(GteHPyj}as44~A~j=cLV5vePP
z^VxSYP&ng!5q+&^^>d8bd?vbRYpCba--k@}CxQ{B$z=qbHwisAa`aGRTI~-f9YZ7>
z=@u!|Zw%1Td#FT}g!EPnME?skM7ldFFXxY&g562Q0rELAGEhA+VsOV0JvB9bCNFOR
zA6P@@n9nGPRV#5$Yr7#@DgQye=V%2%fu_elrchDzYf)48QYPAL+GQ(x4TFfm`O_<h
zY3Tc`QA7Ms2HNlHvdGy0Ao9j2%cX~gBBkxPrJfp~Z+hYzE>+ur@l!VwrT`uNao!%(
zBu__VhdwXba~AN;UdX8ZLqkJWoXnmz&gV8+eeK-KhPsQ%tE1jD#G;>F=hdQ%ws1{f
z%I#qT|52F_#5gL78z>s_YSBVly@!e4ENo%aU3w<XpMvUAgfcgLS3`G3G_OAJv<1Tx
z%-TT$8SO<<jCL+XH0zmgjBvmfnl^r}Yw_1d_PWJWV*OI+aMWJ0Tw`0vFN^<EkfV!|
zq7NAH2@0Y^52Ma$jj+KoXLzGS9TDwdHI!`lwTO$Xq(rCOWP{4b5vA-_EmRo09BOU*
z8`o0(KE#w}gW}-R+KDa=6g4#<SUB_pi%7BQQI29k{+2V^2S(M<l~O-TuXB^wtdmV@
ziVzDbJ{{&Cl2JjdX6~pH-HTYh7o&CHiVY~}WIXioRYbq~9K2~~IH97#*K&RqK;L8Y
z$<Ly4s4TuehBUzqjY20gr%nU#e`02-bxNaO??mk+5_sVqY@9jRg+U%Ig{Na!0{zM$
zI|`)oK}_n3OlQ9}JR_DZ==zADyyPH{c``pJ#ySWt&su??*zK3{A^hkTS1r}hnIA4v
z2d-C3TS1)UAG<B$+(-(%#1b%mxVgwmn>MqA;7<zj8geUmle}D;`Z6En2oKMWds)E!
z{@Wrqe$U|XX3CG)$$YShKR-et#T=$`3|4zjjpL)#ZI-wdA7JbHu9o+%ad}6TQs16F
z{Oy6;wVG|b&_fdgC#o52ra9h;*ZPK=HJ2?Nyv7SysN!|v<uyU^W)~+AGjZ8Y6{eFF
zFGRMKwc_7Qpen<ID)0IQb7J%<5yW`mA-_^;hM@^0PIU`x^=-ovwLtjBJP&YMw|x(O
zXbj@93J=P>da-?A9URQX3m0UZzRqwOL#LhVro^Bj%u>kqpcaW29<Q(aQ|@B~luDO#
z4~51tjWpS4k@LJ@sYqNX=rsh*1lc{zlu7KtPr>xyZeHjZwp-0`HH7L%cU+TYrm+=|
ze@l-}^TDqNS^s?7m{8K!pBL;ki)A&-H@Fh{A;_n1UVJ|j`dluH#lM`#4sO@m(83`A
zavx0VkMuFXx<>RYU+*F|vS)XIHkTkI@XAI8on`=fW=W$etzhLfJdTe@LXdZ2tau+6
z1D@=a@(Uz$0JDzqAty)}3J2rf$UHOvmBi||KHE6qUbUvY-m(b1YCod=iD3Y%W!vs9
zU*!Vf?=AP{(#0T8VxRrpMmi*B->-`(;f6yis^WB(1lY$4^kw<d;YZ+Yg)@@85K`56
zV!}ZZ@=RO!k804ta^w~oI?o54SH)U2yrsaTI6Ox(jRp$R1V`E=KbRNZ8nJyY4IM>$
zN++agAfkLV``j%-;E^9{ncyVA%i?p^hwe~emBL#*VJ!^S_1go#U6O^l??&AB6sXX>
zB%9Vv5QU>VLc7vs<w5$r>dCLU6yS)srWztC4o+oGql(Q6;C@BwMUfi?`iN}Xh({7Y
zr)=T-lCK0?_cvcPRHeY1H^<AzOC+IFU6`O*tPDiB8sa%chGNDI$~6vYaJLUq+%l{R
zPqzf~)_0Sk;;GEGYG)b1DW87_tEofR2Hxx2hsb~zk1iX2AwbaPOPypl4T!h?8*C^^
zfpaaJt2lSbLFv&g${VsZ;df6`l;R!=v?#tgXtXL1mT%R@{}8m{ftL<J`U?fT2&{mB
zaz&6{_IY|FoCryqWF2lEq{4sV^R1#8>);RddzHDkE)e4G3D8M2xSdJu56Mu0JFy>@
zKgR39aIxdqj5HnO`FwkS9#n%5{=rS03=)XYW$YU>>2Son2QLm(2dSVu6j4qFa`)0x
z|Dy(Q;ZRjRO3{EBZsU5ZtyEA@3Gw{PVnE8t>hSB0n$UIU1w-RA4IF=K20g==kj$UG
z>ldFkqz5G=pf#Thp6lDa-pvrwd8SxJmPCl~J4OuFF#yAIi~1c&M(}v+MUwm}9k_qR
z{HQ>Z0n`f`zUbmM0iRu~3d^y&Fc;91Tr$1Zy)4X-cFhzH+|DG&X6Zp#_?52pDh$})
zSN&hGf;j}b5Ifzo_2E_K6@wXR2Aqy=cAEWY0Z9bQaqlP+bn@>of8AgJ-0w%nGQ6zd
zh8>X~Z6rgY)=J>H9R}cWCuW&j41+*{tCxPYkfCdLIk(0WIxq^)I%RJGpl`Q&vtFM9
zVULPaf}Clfo&ewc1#G}RchAv(Yzl;)XG>a2Q$WVF^``4f8xSyctNFe5N7fTwb<#ol
zFc*BLc{7s*x^rVKyNk(?a{8H};Ts)z-T(C1lP4^=`^a3HPlXJH$p7mpqy^8c$o}j5
zSipbfOv3nj5}1yw33An_L$^6ej9-)uez~MMJqvx1|HSEB-K-25Z7Gv%0vqI`GsE`s
z>cI;|^(QI^<YDJ$%>#uTY>4z5r<lLi0oFA>=MYzESlo%fQE6g9RRVK#(t-%Tr{n_c
zkthW1lgWE^mj$E>>_t+c7OYSs@AD1ug2fQ?E3#rixv_s+hk+)HWX2e`1gu~qpLbjj
z>9m2Xe+lP3Gt?m<-u=Nw?|&HMx4CKF1sf1)sCwL`qXyg4o*D1>+lx&aSvdv?+CX8@
ztM;Tr%5a#Yod3evYHYsr^}KH!KzqwyHNkjAn5&(1*?#{cZlZUCl&lNjs{K=Y$C4a4
z47MB;F#3*<E_UWj_+WrCtKKx<Ab@9<#1GfWF1)*)AtC<28h)#OkCtIc!$5egz)y!>
zywJt|=E?^vNDW_pszR0ou0oBh9?pJz!^_hPF@u(%d_XcaB3ulFu(Dyv^Zoc-^~p2`
zWlJdC7_g;XNf?@~3RJxQ_Te9&DqXN}wg9F>WML4m0I<^y>waYP;=3YsyAH>igZ;)r
zpGr0_OqN)Bkvf0lyEJ5{Q##Dxq&}U`t$_>FiOQx1d0lu}_n>c~o*A^(6i_14IiPa&
zj3noyc6{4~!FjJsrqGn|!mmGc84Jidf8R6YJN{#0u;)~x2?%}N7kSon0kaGt{*rTS
z#Os)+&BCcBVBYa)!{I%%*pJC!vKg@oA9b`T4!UCuq2H#p2D_)QUB~Is<i|KpwvJzr
zoHhdc8w6H;*(4T~^v*H<Wg3pS=rNLRM!?O}T>fHy9P{BCcAIEO#7+=SQn%C^f)<4k
zpEEX!<-D&^c7ON*8?Y^1PQ(l$wOZt|<f##i?roOcs8WfYJ95aqJD&*$v+Hgi_ZY&K
z@0DCLQ~Zj3a7o@iN?YsA`DDv&=ns|}o~V^}yBXWKn!cF+ngM#@y9HY=4q(xLofkYt
ze_+jV`X<v<23#AHaqzv>kLeoq1-LqNU@zY)*cRj(0DO~ECG_@TjdI$KMvYxqURdyj
z4hsXQydW1-d#w+1+41gsBwr6!FDAmdsge$|p&aeQ2m3IkATIF+yFN@vUZ-w+CmljQ
z-VJI9=))3^iT`PSIDk#nNHv_Pr@_SY2DRU{eb^C)y=QW{hA^Yb;U2wtDl}y{$(-Ka
zk4gAg)>Vd$V0>Zqj(>Ei;P@|2K3jMI+q$^RBj02U!&5KxM(w8nkFV#kwCMq?GP$tX
zRA2%tJ^e{UYOM=4(#>s@BnPoXYE6J{<Rliq&3oOpHWED4VQ0ncAHq81x|hQYrZCfM
zx>alq5|qv9ithR~j7c)izX_h1#>PKMmA9YNhgKw->k$1HJ2m>N*0*~W>r4LSBVVEi
zLVSPq#jcHEB3;rBl-YUAC;oojoV*@P))qM}wv1!8y;h#3mP=Sk=F7Mn7jz+Y?_3j?
z&?L6Yp;f!=-3s<j>SxOLRvpmsZn(1O_7Br<pM1UU9S8UszPZH5)`1Wk;<x0VQ<%%S
zCyKk7T+ru9K4G0hgtKzPZi<03nEV}e0<oDJCK@)4zF+IX;g}kkzyHl)i=71vUh%xp
zn;{!flA;aoNf1nMSis(Ne~xpz&kwA~&wd3&ZE)0dNZ|2b!br>hx04D5!D=0|OetFn
ze%QR#%=o>6)yeneQ{_cq=?N|5Dq9P_b-UlPDCYpPtY2GCW{ZKght=e(PEFt%uZS?Q
z;DYw0pkDb32{6;ML!s9+fjbDxjQYk6xesNYyEschi9&fDov8^t&7y~T9`QopuS-8G
z#brSExP-s(m<D7!5Ol<D^TS&cVrTm#0Zb^BFG}BQz!-@|UY{ulefYQ{gGV0rsR<76
zjnaUQaF<wKJ`oUF`O$yMUJ;gVKEG%eqyg6U<sA|a#o&tj7ga;F4zTggkQ0|R!0aAJ
zKvtdvjGZ!V{d-y!HUw>?ZHm)?(B`BMVVD#&T(dpVLQ{v5bv!)WUo`+$)gwt`(qLEk
z^x9y#2GpbA+!MN*a0UngausX7G4A)M|B@CEyi(7aq_1(BhftbUAqQ8U_--t7B7(x%
z4VJ?@wLt&W@~6&81=x4rj`yscF0?hp;ESf(@Ko1P1>3X^P8mI`3v$*6?c2SK;<er<
zWIFI)X;OjIpSlT8uaM!jh<>v}iO!mTgmSBusewbEkg?eZDin*T7h(QuoE~5;Z!y$>
z;_^U;KS6ZxUDok(4<~`VyMXkO_nJ@{9eJ-L-T;(exHxumP@#RFmkevOHu$;m?XJpZ
zfYc3#@e&_8VE@@Gz$g)J)h2kvWijEa<KgpU1qR5^v~u!9>%!x5oA=cbhH!i4ElYWU
z32~XE%JpXYpu|7h>1tsF%eq$ef|AByuWF%H`jrHMMHkaOUl>7b)VfU%oK3-CpTbR-
zEfm-q;ALxAV+2BB<JLb*&7oLZv*P4)Dv)n9s!rTDf`hvhYqZ!_u&(h;>D?+C5bsb6
zkIWf@wV<e!aTx{_UeSjpYr7JD^yJ6hX(oi#+_*}Yvw`*G;3=MXI&8Cu5zV;608P$S
zy15|>xVx)<TzW?bW4;x+$ggzRd8_ud7KIJEBvFM8Np!fR_4NZGngW02&S#g;vcX2c
zM)jx*9a3&EWu^7?Ao+Z&l1zjx)V^v9Nh+m*?Knd-;ei%x6dU6i9kc~2x4WTl{izUf
z?t#>_fEuK}rK#D7uLtqd6EPoq$go$B7BlHB2kx&!Z{Fuz4|+M6pN%*Prp9h7o?2M*
z{7J1g>Cd)scC6X^KM_56`QH1H<3A2Ku+3M@=a?-FpPjg=G)#p3Ma`cte(Aw(X8$wH
zn_`3h1E~O+4_aV3aeUoR&R)DHOU3uVaW*_O7*+1Or2!n;rYAQq&g0}h)uYX=EYRuw
zB_!pc2IqQn4hAu~(P`q(f&~@}G$k)HL!YjL;`LPa#ddzg@Aezp@X7`%Pg>lFeJu|g
z7lsdqng}De6lqe2ybYwA?r?rPF9XkQO7nfLiXyl1k5+kM0RIC30RR6Cmv=bTe-y{<
z9oOdC>)PCF@9%Mu2&F+P^+S<8N}@!lh)5wNLMakOW!LwEP_imgk!;y}B;)7b^T&Cf
z^Sqz;dB0yd-w1<O<G8^zJ?{Fc6;4zj7_T!$2cT&GE=~;RfFj0~5!Oa7bmTX_cZ(i_
zX-9d_cdJZ5*OYDP#YsRxJqj)}Tqf{-U#go)B`qxHWw6}jA|QvTD{<<I#?Xy;=dITN
zV%O^Qd>>43p%b?!C)VtY;I+B!gy8vkj8aBtVt1DdHBz9!Inof$<sOgPoi~KVkWXeR
z>T#i?Zh<0RH3q<A!{qGrvk8k*+q_8E%ZXUDKQrpk8GwrZdc#YFk9fgL<}u4ePV{KT
zYG!7?KK#<=vgETIz_+l!uZkTxQLQQ$+pnj3pcLH_&aXI$w`N9Q?@c&SKcjQ;DJDH&
z8q--WWnaLj2V9K3_HZJtZSiM}KDsa({#W*<$O=C7?e-hv3!F$h?|8J+cO8&oV|f_T
z^%p<>v#(^bV`qN=hbi}79T;UV^0{xdi6`3FNS!~#g#svEs*Cm7KvfQ&IA=zKUL1m4
zZ8`!Hn-lu-ovID#`-GYAwbCN4EsbuLKmz(~t8$>INej|W2W6#L(W9l1kJc8e1jPDP
zQPbyu7FdSNS5V(Fp!U!A7lKo{5zcRVUvfwjm>*_(vZ*m4u5#mhiZ(n*aG1C;9I6RJ
z1y+WW+01BuNZjzR2rm*iwW2>Hpa~XQu_xk)tVqeCDJ7nf50$yI$Q`cI0KBo0sQ-`+
zb>w{HNn_<l>LU98T|K1%GBm1!tePCCI3q;6M?nCk8x-B`;Maif`h~<#KXxJP@89F3
zQ-X+B`ZUASHVWK+|811GqicSZMVEPv5USP}BPS+N;MV3l4@x-!J;`Y5{YN1p8Mlpb
zX(tMFzuD;YE8#|03neW6HHe^r+EoV;6$(J#=I7>W9;BMDtJQKr4B2U<(O9ukptbEr
z?Tc<+)OGP?NVT;DqB`xXygyF{L6zygGfezQ_NU94-<gt#S|2MeK1v40ygwcyRsv{l
z*k%8-JSlWAsnCb!4;ii{*Koeg7DUXA{MBkT(#Ym^iD}{*8QNFmotZg>5f2~#y^wwx
zw2AoID8dvd`E;<{BbkV7nS>Vz+;XTZ=Xj^zUJ4|HoWduSM3J<wP~zlX5(+AmE$_KS
z0iWr%O~s#L=uq8wsY#+d^3P<d6quwyR^jF}DN6zkTX}_eb}FD!a#v*8F%3v1R-MbJ
zl0;SCCz!tpE1~aZJnLG+8W2^nx$IXgg&xbqn+_gPMxhJtonNnNg8xLBS9iWNdMDjT
z`Eo-A`KL--hM8(X{ruFvw5Kwtw!eh*<*6#V@mJp~K~Ni{gE~XLKb1w#l<dE7K2<|6
zPUT&E%d7+WTT@DEPvlUetuSTcvN~dET>bEypbI~J55KyRMM8DkiJ=8NWMp;2HM5MY
z2R$z>`0Wzpk?N>RyW}1+nt2sr+u^1ULsDmxj(I7dwlQTv)njC|dGzy;f1UxnS{Cjy
z(Nsj|?Os`SS&|WiCB!7o8iGyRR?&Y0iYU$8&E1fljNX*oZu)0n3{>BTjaL3jNYrmt
zdBaj2^)d-3=0uo4kn4inT(=UsDE&>9OHK{xXi1SKUt>^Osegb~P#H124hjw_RY7kL
z6uy-81PIZnBs(c8qakf#+x(gml31eg7#aiU&h0B+;!sADse-C442tNWb+CZ#K~vzz
z5-a^{m5{ry$AH8L3AJ$i$oiab3fBgO1m-N2P{S3PoA@(X6guwD(LZVmCEhQ2r5`Dx
z%fmmzH{7LBJXODZm4gaw&3<BpZUq#p8ei(GB#D9xq)%pvP{HpOx6t4pd3535fOsvl
zD7sybPMYvhfs;?=ctRfu)$*4JN^c7y+fdJ!i)*G(yg3sY@=gxfO9dYdu;oKD5faq>
zEvCSB_{f4{k}Rqn@;KJNML^BoG=`GNrl4~DH(Ga)LCinY8L#g6wcqBzw3f9g)L;3B
ze-V*JMR#IcZkRA5lY9IV2I~NO@x;)rK}pmReQjV^h#sZCAD(~k2q1+e&{f)10x>kc
zO`-SQ#^W_)kDlEFVBecLUCb+nSRS0RbK_jcxgUHXY;<C<<a+i@Q9luRf5W_o=a%sq
zA<H2f0Ss!kEgg$mh0yv1&)TNx1w5ns^zbf66R7V<svP<yfX?NI__y@U;b(`-%_q{0
zA=#%&;}9=Dl2*=kyo$}@YT{vciNB1Xc(7Ms%a0cojf;v&O3dJ=(#l*e${N8xlQT1{
z^W2CU^80I))C`_k=~$HGZwPu{BIuXX3COBwZ6uy|78g>y-aPfr0B)58v;}?QM2p_`
z0aK^uaJ|6Ne<?f$kSn|(JXFYm2KB<nb#Be$l*%aiaxZ-_3Uo4_X=g)!{=|&(Z7$$?
zrzwNZO?q%zvYc;SlNCkIG@BE$m+**Bf_kwEdhqH7JHfh>8EvoX8V3ig;L8>g`D%%}
zU?FjRO{$0q9i=i}{^zlV^QOIhvwKYkWK2(;9H?SM@dGDi&qb}{Z@ekK4emO?Xx8vb
zXq^Ea*=qQ9`RxX76p}8N^FtfPZ}9$2_h3LCcV}fSg|=~OU&h-n`?aCKI+!Jbh5;4s
zYP87vNQ2nc#iATqwBV*umWE*+Jt9h^h4Ko~p-48#Ar%`f2n{XUN_|F;g7ocEDlX8Y
z(kyYFV;!3CO*^=tw45HDa}lz(nr1+B?Pgh%M>N59OmBwk4?X%!Uy=VUgbCSwt`(ad
z(EuH%C-K(}7*I0P>W?}i3)0LKo4XXE0cQ6T`)rCCP(;`)vEn-`8u;~1`t>di5Xs2;
zK0#$fPbe%dIj`B#$%IppHTe{<{}2~ry2gmuQtibbm+V3xpFizr+Czab;S!zbHYW6X
zzWFBcD;L_Odc~f1h74xL_92u;W~BZ3;{0w-Zj?zF_Z?3sLwrkgj&MH<lC7Nh(!GZV
zO+LR|`N)b4BK78y_F`=4ZQa{93K_iUTzr#u5e*qiV^bt35$s65u3%GznIDa8G<;+Y
zR|no+j<fd6yU@E<o>M)E0;oA>;_ww_bzuCfcs#0{6OFxa)R)x~LaPpAE0Vcta5l;8
zzrj5ObmUL_nc+2IM8`(G9c`xucAV#>ByG4+&YG%oXP*eVGi_pXjZ+OqD{k+}aOXi{
zlODB!V`6Cj{J_}0VO2P3vj0ZtJzmru5*<FzDv3lhKJ+_&QH2=gHKv{sJ~aDgA=y(y
z3jOqI$@A$^g)4Vdwp(lj(2pCYxzfJUXxd6hsDe%n2tvW!`t5?~IemFoait8p6(}fH
zyH^bub!ePAe1*}i|JHUB1m#dpv~9teDm7S0$3M&~h#(2a^uF8CBy_Il38nvlI^;k5
zq!mvihP(&-<Z?FTQGE4M$R`dmNWZ&Kva~3UhJOw3OTDa!JRhrv+>9f`B+GS$p-4$|
z;{|a!mO&ZK9qcz=mZCsmTvt%%9VwL7UmPhPyYrvNNr!~LQ{b~*QUP~~G=i!m|2SGT
z#Fan0U0tLBPfBL*YkreKipJT`B|X%U#<9Kpe2+DO?!}(F1R6OseY45B-+_#}U}fY+
zwH74X>IM}kkx=iL!Eg6rG7=mA#1*ut4Xs;mtR(E^5qIjZPx}v35R3iYnldY0Xr;_N
zFY{GEF<ybqsksysD9>h+QKbh~^VG$uP(@Uh=K0LCfr3nK<`_qV0k|?^n~(gIcJ%ub
z-CRyV4=uRp2fiA@Rsr9bySXxQdzW4&6-+@=$HE*BcpHP<D%G@UQ5k{1arwwP8Kovv
zF|YkIfyA((BW=Mds9h_4x2zQztzW^PFd75Q1y09@zE?qQOP!*x8`O}OYeHn_6aX_T
zo~G5Kf`oN;Nzgn{L4{I38vCxBf=tH;KWe!OVmV%*A5Bt1@84V;zQ9U_4$%jBj7L;Z
zrl3f1RhT?-Qx;#<_oG60?B!umTp1nznqL?9QWkAm`TaD0O$D)^w+`9ODWPl1D{=b$
zQt1Au*-?WYDg@s0I%Ynvhz9Gj6Sz#p(cje7+0(;RSlA@U$bD2miRni_3b6^JbI1A)
z>3*Stf6`40-bi_rbpBuGUIRXq?K<+DJ)a5`(MJ_e#YyN;;PbtITe;8~B$r<ANd*GQ
zqV8;wEc)pf6&0k%f@TJ@x!ia1an|RlY?_t~>ekatim#?c78%=bzamrE(*DNmRV{@E
zEppCZ%w5APUY|3$<-C)3#Wm^ndn6G>IqUD8yjlF|bHyJyO8{*@N8Ge)#gO~pS<{QJ
z2k^J+t%EVK0Cpa|?27~ul&d(~Br4j1GkT}+tBC-_R4CahToXb8YxEY@C+=ejm8T!6
z9>?IaBGVyFIRUi$$?EAriH}%vzhG!)j0w>2#`vQ-UNmavyucgz6(i6hU-1%SSTXo^
zm}7z)5f=T*wKco3qLX5m9t;|R{&mG35;p;v{&Eo(-~Sy8e-wT@OV|h`^%~tyHFF>h
zSUh&qy&Eewrk!<lFa&13+ZlQvS&?7j*PE@gomfhMTlaFh0TfWIoO6lHC_>%lyW0NG
z*tF|3yV-y~h@S5{{;84y(U(kxag=_<D(T0bNvrEa%n|SH;2b(MVVu{Vtc+tK;+jWX
zqx3+a(X>IQg$BjwrB0>2%f&L7`YwF>sS6)P-H2wMTR3Ow`G<QtpW)gze+}jJbYZK0
zCh_~TfB5&P3mnrfb@;)eU+kv$b-?%N%n9y;e{tB_AKFG~!-sgohsJ1hpovr`;d^8i
zAGmtVaE7T1k0^~Ao$=O&ORRdM5~a)d>h%B@zvZ8}a)E7>YL6BK>qjg}9$CUe+*UT<
z1@`003SCwac3QAobbmL+Y!SaY`Yn3Xa|o|HK>wn?K@$pmWZ(bxS->6T3Lc(zAH{9g
z!(aXaO$ZCj!6Vz}@u^v_^HSd9xMh0SjaRq^a43CfS9PDqox~Vg9m1#ZFrR?4YSf)S
zGy2iAT4f%WGTLBR&z;5Dv+_I*K2SjYW_<SxiJkdj)~^nM^SHbVg|E?`0%>h`VhoMu
zammxatiMSu;v3h>D(d>k@V2_%NG)<6F9PqvzR@LoYcg`TtUnnBZH4t_$LI0==VJrY
z-ml=zx)~t@bYw7(5m-KVVF9158lUsP*KjEa<o=_n4hh%=H527UoI|2AjiGlP*B36}
zDLtbGgDR6_d+C<&GAD-<UJ{%5<v+#=(vMZ)_`$rVqFYP2k@7nCWa2iy+GmqvHmU-b
zNReat5-a$UdQ>=3h!)*la@?<|t^(eCMeqJQvx*aK_Z%*cp+je??YI{&D+7x~NsZFa
zHC*?_Z*-QxfJ{m*x3qRCfoOu+s9VT7-o_SWGx?4YC5#s9uV^ZPi?>QmKXn6lZ{=wI
zeuo*Ub{AJx-&2Iet~jMxYzrqJcJ<kFhZQ-ekKobFityIV|DK9I4Z3)LTK7&ZJJNYE
zJlq<t0G&abtXlrG$YodVAy*krq-k*No!+KAs23h>Kl`2z@kcuz_<n+bhSUQyuV0gg
zQ>#mPDTWMaDk)@qxS1P0eVclqfG7{P{LiS--Hhm1uJK6j5nhy}mA3;?B)IQ-t27{k
z8Krn-+}~#7N1U&VH<ZqhK;(~e*ykIph|jg=KJADAYR@=sbW4^5w(pa_9xY%;-a~&F
zYsQ6;j9*H__`Dn_E@^9TuJ1yPC1-ybii)6>ZA<+27dc?PK9w+SN<cR^Wg~qf#L)Xg
z<v9)?<-m~?cv$Q)H)3RZ$hyHMi3&CC_FefQ2k$ib?Da^zs2+dH&lD(ydXia^W|>IP
zM4u$@(#(f`_#fS$ydaI-E(W!TJCH!RtwS>FwgCEaDMh$*r|(k~$<78XB<OGNa(Wvn
zgl<m$w6oenLTid$MKb>KP^ed6NKPZ77nM=senbWIFo7jK&_V$Y^aft<{VIye?(nz;
z(JLVqL!WvV2Su=#i|`rHmq2o~%3{4+%BX08^VFLHC6FlX`uKE667AZ3b5fE?4ZX2F
zAs%R{0#*6%X(x=N5mFym6k{PHr7Wp8=XKTKyv?DC!Y48aig_OAu~3kngk@X^kRc<N
z$p1-94*B^E*2`>CP+|q&{dXx82>2F^^=6V#Wpr8O`Cbh)s%bMILezv0(8IYQselUF
z#ozqP&_o-d*TeKWv>=2<pS$#-BFb7&@BgE&h1B0fe5AbAfkKse-f4m|vb0mpo{HB(
zP6tKDR&hPx&eFI=@=`%9$GJf2vDQvr*)w;J8$jwoKkJHzsz@&1_}?BsEyVNRzP~22
z#?ba+<F8kq8ghAO!=pQ-iT2x_iXorCz@X{tJ|lm1^q)^|HJL^eJ@UR`O;-nSK3cKE
zZb2QX+i(B3)kHz;9)WOaC#SCd6N_Bh;bb=b$rx8NGGgg!QccXJLaj*UBXv458ty)L
zE`nAS&1zQqmpPfiqM-6O6t9kqyx0EK%PFEuiKnlAA2EaV0mov}J2ixbY(7&FmqXse
zQ!c%x<`A|W&X$s+iXx;h9qr<mLfxzadB1$kVb{sBXFiw;+L}9V&wqx9=nTWIjQE(t
z^;PPldykY*FEg&wOW{SKlMf7bo14QoCK|J-9tA{fdoL*L$BGK|zwp(qo57QP&+pJK
zlhBQ>;O7C>8~8YJS@8K?Gw6I>n-#Vxi>7$SsL}z0I8An-hk~>j%=Gf4OVP@py11=@
z3l%@Gph6+K+?{)Mx--h6*rZU+mA6yP!wcAW2r{}TM1{2`|7Wr0;wUEDP@^Gg1M{qL
z`a6Hq6kZ*$bJorxqC1O~)#F{XpkNZOti)gnnG?J3AZ0=1I~%fS>Baz@o3Ts#!U2xl
z>y$`X<V6~!HUAPK6I`=+wLfkd1NCf^N{PP&bnCZH3{jC8zCP4q$yhf5Ic4$2gBLl_
zwP{;d$uedbFh2a@5}OGy)ctDu8_A5Ex#N6Z4KV{nnCM_AXAC2bv}Uy1bjZ)oDgkR_
z21Gh3a>d#R%>NS?bnM&2!;KkL#BVaggyw5k6lw^!rHo`B-&w)aYlgy9G?_s+`m2R~
zsR1M(F4gSin8WMbbIpC*nINF;#`~*_`XHbG>jNQR7=NA4Wct*X34-2)x|bR0LvG2_
zGv(}^IOpnv%c}xRz_o^jS>4ow>_0sN)WJ0T=%ad?LthwSB6j#;*|08@4)7?nUuwgQ
zgRXjSK4ygEz2$$dQ*}X`o^?IJs1N&ZHd(#@HY42UNQ-cKq65L3>x(HPBiP@${_xQ(
zMyOBHz51O?2l}1jim&oaVRIj{o*I2(1nK8XDYciicYHCIquoD;WxRNl7bnaFab7vb
zzZbON7)NpK?wCdFb7yvtSUeN-#|%AS@zH{q4^^KfX;-l5#wc7siWzJ~V{|1aG$BSt
z?dmm`onzYUoUimUgQ%;%D6g+3OfOza_IR<5O`REy^?Szx@522YzAtIO%bc`|)x`~r
z)#I7~%Li6ScqUgGa76>A$#g#(b+@q=hC<ti>uivEkF#TxM*}EtEYp2zX+W0Qomk<>
z0czV9V)qqLAX8R4?&J(DxCY^z+ylEn;HUM2W^)RJ2X=NHCecI1u@^D<>0EHxQ}T86
z2pQy*zQ{EAFu+#g;pmfy05emA#joPYAYgr9fTe*EW=~KrO}27F>a;2~SC<USuZu>!
zG?*dkQ&!%Q6&~;-@&4ZTRUN`~GaHpESYVzz*;B@l4=QRT9{p#o4$u0c^P`>E;J{tC
z_P$JhXg=<GEwo+@vU2#%UJ7$SOSM?JiliU}rbySd*{gxyp@Q0}f4kt|?R@T6^+Ism
zrKq-LP8CD~?=n}@65x?2_1LZ(L;xot4~bk=Sa-NWQ!mU7nQhhQD$j{RSM6kVrH3lK
z-aYp{&yok4E}6D%#fXDx?Bj-CW~z`XJeDz=zzYOA;*l|DNr<{C&LOL>3OaNSJ%W>b
zAnV|#*p?s#ekL2FC~H-)%+Wa%>?Q!Kp}FP!?b2}k5dHCe7geFDBRf`gRS=|FZCI6L
zWr3mf!<t3AD&+I7W=lL31{H@~pI<lRV9?DoGs0R8o;VT5Kb{o<#Rl<m6Iyv7CEb(v
znpcD3<^U%}XEC_<SXaX<MgeFS-=8S`pblrP%6{B-m4NQM0k0egO0f5CO2jQMGB`Jj
zsF~GD!q)Hdnw*EquyM3n=hZF>_%n(hF!?0~VXSqICzVx!=qgzDr=0@3gqJ@Yp_hT0
z$Ul#ko~eQRUajSoQVqCqO+$E<EDJY3a9Pu{k%6Wy+MTgN6Y7P0n+jd!AadU>XY(R5
zT-<lU?a*&6Xghg6MK*;50V)`}q(=c+v0L}1<aOW{wfLVDk_S=!4qu<g6maf4t7V&{
z3%toite5*0;Lw$W(Iw*)u!u}Gl;PHgiudu=mNSYlALaRQ53L4lp0-jDdTIbA#tV9@
z14?k|D49=rgaQQqwQo&(jDX`v0sq@q%CP_1YSZQ|3TU0U3e%Iu5Nk%nCXcDWWYAv2
zYB~yZe7<+NBL;)_j!9{OUsXU>)ThJ9kPOOKC=nN<0ger6Vs3n@FdRFz%^t1>HiP|D
z44S4Ox=$$~n5YT?wbxqC%Bui6b~euIlPLt15Hmc6RN#Tl(JGfXMQCj;be7sf1>q%Q
zHZy+}D6#MJ_1WoLy9htUIG<3V-L9F>8!1DW<hcm$P8n!a=9R{WsPN?yN6+~lB{+99
z+&z9)5<DBVrh;hAKv{8Ssi#p9?goiwKDHEveu2jfGc;z9`Y$0h_=W;3Im`1%un0m{
zk^eKL5h}2~I@GnMCJ!A~C&G^z^MHK{@9%{YDm1?Pe!=6d97tZ43DRC-hsCcS@16Ii
zf{?bL@GTQrxDG7hqDc(EW=#~D=BI+fv;CY;s-&T`InFWj{stx{q`hSQ#uPTZ3T#&N
zq~Ohy`Ft141uRa-y^COL3jC|uE@vYope0PwAYye0JGjrajMBfun+=>%^!cLDmMhQI
zL~OydCa-661Ol+{6KxG%6b6Roqzi8E-r!zwk*Ckm0?;&MR$cNCgmueg>G$Wp;%AAm
z-4Sva?0?LR_cHT?6YnK!^U+@X^%G_Kw|h;XhmQa8i*GzokVUkP-aCMYGtbrhIByKR
z{V!q*I|)!3dGzFb&LEz_{P0NfQzMu!VU6mb<AiguDT?nu4B`$_#NX6DLwMcaV272n
zLF?YJSu)cgeg!Eb4iQ6WFH-!{TE`6L<zL!=r}X3fX`z<}oejX3koX6eWQ6XIFOur5
ze&L<g;(s1I(ckgUvEL1!=->?V-!Da#-|?JSongjhJz!8xF^6|FVB@Uxa(CHRe3bkn
zw11Btm~ya9Ob%~icRmF-1^2e#&8Lo&XL58wL+!W7rG|B^V|8|aHcK5&3fDWju&o0e
zA3~N*c-Jsd&uc^C@z3!WoWJK@x$1yjYIACP{W6vv9>OJ?nThGHaG&4$xWknJr>lZn
z7cmBxLY6-*H5g&+x@NAnHZ&&giqn^0!2Y$ev5QZAz(zW_gwN$^!N8L<Ml&Dgu)XC0
zYt1>IG3oS`)3(A|K;kq@^LCiUY$u=wD!*aJD@qO7lQls(w)_58;xyJqXjmGo?ZMWI
z*i{obG(qS#6NR2Ug&mpb+MDjukHsqO@2ZT~0Ih52y1V)$=EIV$CN(sO>FnMNKgX#7
zyDc@OqGBen>u27mRe6nIN0NKGp6v8tNgug+CWQ$s;L*``-mNk0oI^sDp*RI<H1uiy
z@J?Wtw{vFpKAOPz51!_eEF?p?Q_vL)vz<9bUVh-eY3%b&n)lQlfA7(}%i&Zyfz5Sj
zJpCp<hXwY(HdV}2hs}kd2)7fHSXLaq5R^TSwR$OVb2qC&l9TPo1B)rFb+>38L4OfD
zZC18P+Ej&15xaXNk7?{o-Dt(jsU@s_b)&{fXNNbX@E_ZCGnmBU0oNpa1yhrMtDhOH
z0yBaS&TOg7VY1(kgKF6tCeKbXo2*iX5yAjZzrZ|}S4NaR(zT9BNA!A{GbzJ~19zg2
zNiJZFvE*cJ=}k<jwt>6EQ3?3{eZRBsUBu4(dZ=WVyNwaq?$lCWC_>$qI%z(A2@`%0
z+S8&+3w=MJnt#_0SJH2A1aYijQP)-fSUjVHS~r+H5U2oKHti=)<ga3MPQ5+^YX$&n
zpNU4VJg~-a)-Cw|#qPSPU0fzGfrV{F@TRRiNWY+H{&N3^6>{U&T=Xo^bfw}dZxadB
zWRx*#@+KxZ*R<It%Le8|&Y~$x5?p#YTUWQZjqSRa8%}$X1Gsv}?Ik|TfqJO?GP0tD
z5r?ILFKk@Uvq|ba?Is5yAtl%OtLfle%7M>gQv?`%q!yaDEep4Xg~I>sX8`E}Cad}L
zJg~RrRp!bQSs43tW4xP_38eVAWuB7w;Ce;i(c+`Bu=y>_-)W5*9z7A_+rP~Zj5)qd
zo}#jF1NL}?aI-<8zM!`)gAg!}Qs_ixWZ<LPuPDD09Po0H=*gx}1c|slcA+maAaZl{
zcjXW#{0{&C|NjhEcQn<17`C_UP1ZH8i+f#reqZw!MOtPh6e<*jA|xeJ85s?sQc4Pm
zO5?s64J3(3_AE)ZWc2gzdp_qq=XpQRdB*7Zk=DU{Sr`k@kDxRt1JAehS*)K0!B(T(
zmz|J@W8HTj-sw_?yQ+8B3GWbwyB?vea=eP5zahvejE4k~$r}?w{)&JNzHQ!-p#*g|
z%dgSgNkA(pV~MO2gFQ!Yh`%)@!E&rclui=~7Q*EcT%Srn^zlqCcV<;^X?*XMdq@Sw
za@A*tTcx11BJ|_(pc=$(dLA5NqYCPVl4WtSvLHJDbBAj`8Md%%Cx&cS1JR2q^Ytm~
zp?{>{gXbIt>WgCjiQiR+e}-XVTG<M4^<_hSyOcI?)fzW!-Jk)F$~kHDB}EWn>oZ<b
zqCu*+2T9996J$T1-mM<03>`n&+Xf7DfJf)@Eo!<pY{^@vq_{|ejk`CNj{+Se8-<zP
z-KIgS3%#r<Srtw<2v9=|b)l`6C+nOc9r7yb*f)~YfkTmlNkTvmIy_Gpbg$|{r(foa
z@hUPL6vz>psL})O1YWoFMSXDV9Y1DZM*+#&O<&Zt^g+D{hj^5X;3J>uz28-uFt;t{
zxulyuB#4x_qz9XT>&4M+VSL&k3LXI$sro?DJkrhg$qY!%`3D`fs33Z`kP=;_2g46v
zMNte15Sd_GUge~L^?lN|!dhK8x9Rs}VI9DU&%KZNx6>fP>rmKgEFF5fwT;EUSpx5T
zLe|qT8sO4CUH4%c9M>^6jcv99N#^<X^ZRMQd$%Igk4qbFIlm9*$gzf(UKRNo+BD#!
zUsZTHKn7ijw%f-HY@qG(hwF2RRETjI-&2sJ0<O%QqT)F=(C_Q`+RjTGw$eHGGHWY>
z&!GFSFO4>Ee1_T;@k0|LlTHt^FG_*c#KLX)wfWY#w8nfr3TR{w&8h1OL+)ZfKU2O9
zaMbVwr)?%fuV?I#<_QkS8i}Z*Iop8Li)5V~do|b<7Fur9JxfGC?pEU-wg$HEdAHB#
zs6f6^_T_oe0^%*F)4Lo$Yj7($eyUtl86KGmk{^`)W?W^7mXztTf(_eAl-sKcAZ8UR
zIM%VuX#O+vCVZn6R9Nn)_MMUgF_CrK@A$Byb<>i_#%Gpb{zm*Flc+Rkd^kC^fr}IW
zi%PBkrEUo+C%Y1y4vB-sDFN!PY;KIaT5$ea4nXbOe!EZHBH&E6V6C&`MG@5!wGuIa
zwk<#6`#%W4Q(qQ4&JBE+(^(Mwh)jSi`*V;H-~mgc4(|<b_^{CCSo$qJ3kYFOWs+-S
zgHnrns^kbC_BK&GSvHwNXM@-Fm(oly{P9LzZ5<yzv+EeNIAjJ{**z8q%NB@18dZKi
znh!UMl$2y$HwCSIgQ>-QlZ2C@+2;L9eCT}s$X>lKCJ;M#P;Ga>0P!qq=3i+wFAnZ3
z3AT|m0gI=dZ|~;6BV;pzMaK{DVn44%2(zy-h$hI;_|0n=IZHxM4v=_JIFS8URfQ4k
zoz39e@6gS-Rgl<eG0%gB0Yy9=0!C1fx9{=!*ipvywo8AX4D+D2;E%cX!-lZi`OVpF
zr+zcmpY8T*SbHD4^rywS!vOx{mRx?~Kf{m-y)Af9lNYauWw1@y8bEpEo>uFcdB!^H
zWbO}%ylA%}&@}j&K7=0dWr`kHWPEqO+<Kdz4`)n7uic>Q!?nn_Ul&@I8JqGQPPo3{
z!&7|fiUDPMP}ue3fZ2_I4CRhyWr-|)G-llNE7jM7hGRev(qzV-Gki%rIqNV&n)OXM
zLl^W^wyuLyEO_OJ^n=|W1yJ+F{P$X?wYiVwdG2;rr0UH%7GD-b{$GEemkrW^w}kiD
zUMf4r>BJ|NdJExbYiO-^3>{*3g*N1+aA5w~7mPF3!dQJ>p^a0X4t6cF3iV5zc*y<d
zK0ZPOTO0n#j@0P@$6W)d7ZKbzE93FqWQQn@r`<Te`G^kenwJV!<m5#rbMjm1vtnpJ
zGkW2knhwY~ZI3(ofDiM3Ty&{v6USefgIvLbG}s{Pl}rS$!^dHddbe0fqGFxVL#;v@
z^qD2`ZdVmV+M8ETdp=0v8^w)L=|^Z#m{?ahqauV?^cx$4kIUers^9y3>}k+rVsht<
zp)hVXGnweKmBT}iJ4H^BX>eaO*FI*a2p&InO!tefJRW><{pf-y4LGV|GL5rDap%ix
zw)Hm@@Uhbp%QznmcBRR{%&-{VJ2&SVQl*GDSDt%36sAGRMc(}9n<Ow~>3~P@pb~x!
zIr8X{8V%m?xGL{&kVN*@MyEa*64saBC`fap0ng4yy=Q!+vA<y?*xg436_}0Au_e%e
zxkTZck+3YzL{AjGe5{HzbU)G4LW6w)vCSHta!B6UYO!8W9clND{$N`30i%+CNBy43
zBY9wkIpZ)HixSQxJCx}_{bxBB>2?KV)u~mH`J{n^`lk|O?dX8-xxW7GRK(h3r{JR$
zO}tpc`jEUphY_;_Nhd~>aJL-kn9wmT)UY>HJG`dHsvbf`lm%tnznrEe@=zQ7tz^HA
zJk$f0+UWA{+$z{`7aDzPsCenh&F?Oi`p~P|lGiP*igb+*)d&|F@;D8|#D6t_!I&zx
z6Dn%>pO-#!VhIg<m$$}GiW$Mql8*SZBz2V2AlO7kX&BL?)cnZb7~V&?%ut2NcuHo~
zq<DdbgSJB-w!Jrjaw6k{`FApgg$6oQchS()LY?cgt{G(H`!#RL*Fev!0yktY(NN1z
z#r9*aIaFFN7#iqNP~0|9dz%yuThVH&i-~}kPrPGhxfFc#MPA9HPa7%QimtJ#1N`US
zQ+e|%1@la)*Y4<R;VYHM?eH3)_!o=AuK^0S&@{}`%-8m*v46SspCw3lR%|qSO2Msa
zz7GgaGCm?M7=}NwglKMc1%G!6mR?NV`?Ek5JHx$5eCw>>*@x*m-FF&zpW-GPtwF-a
z@dtG0?5%(<oF*d4rGX{f69O#7iny<7B%br274&a?ydtumj2Vrm?fs6e$L06o`|Lxl
zAWwuX$Zd@WNBJXVV!udXWANqrSKe0O+t(D>Kdg#gt-ppAlEqM#Y!gi~vx3sX!7Sc8
zYyZ{yzMJ*F5E3W(3k%q+AkOz$KGltcJ|qsi-V=Pdefg(F$}3CA5#;sW#Hx&Ak*t#U
zGB{97FjZ=OkR@D+v2v?@pom)ny<Q%?%8cRuvNan-EMa9k%SqZU1yq@n$~9(RVkiY(
znYddHFwfch^P=W@lpPvgjf$9MtW>PN3vvc{@Bi>r@iQ4r&|Q2uT0Oy_Dj!m={6awB
z>8Gm~{H3r#v#TwbGRhdLiD<~@C15qjUeMP>0@+^ojBokS&-l&uyRpd90<^`QJ`L%K
zVb^D#tjwETjF0p?T+Wf^fW>*lIX4kJA9ORV{zC^tH{R_>W~CYM{1c6Qbz2DK3ZIiU
zoNs4@FlH207fiwE#i8wDvVtgem-P1Vo(_ij8_l78W~QJNv5oW3QGV3&jXI#v+sRPp
zHWf@tFoE@?IqmnWJoxtwS!U#64<lOeZSajYV=#Gd;@SR*3!5x|2D#VtGvI2pdlA_f
zr276`o&3Rp6xX5@`K%#^kAL>Av{OcKsiMWZ*oqz1bTjico{cixv$_M#`V1jOYhoyK
zO`loEV^mXRelpIAYmhHm8G=yQzx|E{EEp(%JkGvsf^k9bb#1^s1E{xZuf9>hj4LU1
zC1%D`j6)eeyGle2pk(MK<yI>bMzapF`)bWFLYl(!>`&_hd&H}fQW_K1yUf+>)th6y
z+pTb1{*NB)?<SkG9Q?<~^6X7&a9UtA+=i(2hxMTJOvQpTt}@~VsZkm+i;VfJ(N_(}
zb-~9eH&}n?D#Pc8cj#>G5@SlHsK+Z%7t(A$mAjd&GM;f>Nb^u#WwaT0XQWQjA%bi8
zh_dS{LrA1bN@^Pu8hmR=d3%fw*SP{bt4dZGTP1(z9bUs>qaqc{$xer0`F`U?%YTf>
zG>iE{ZdSAkx7+KMsRPb7JueJ6nDARQE#}Y}HVjezs_~Aj1FfPxRQ0n=cu#z}p;Vd!
zQ%O?+2dil?=Dbpd%4>X8R-HKC$ca{`9y{*#qCxrNqCn_k#>XKwd7io4_#-g9rjCgQ
zy75<H^vhVVFI{D_=n^j)bwymh;Yfv{b?i@%-(p3M>Z*Q=QhxNeRD+|pw4uB1Qw;4f
z8%moshYJ1?z%#1MlnhpF;18+B+97r{JYZLO+fWGA#cw|=3)X@t$-ssY15RX0d?KxK
zK^T()=d^DQYr=Ytzs*U-T=-n3Y}eaW5hVQ_F5I_Y6P|W#|Iqgz4?b7fSoH0p7#6m~
zk7+GYK)`O+--DMAv-`B9pAZt5@_0tXFNXqZ%6VI_E%Kv!c5UBX5h<Ky=TLg?M1gaE
z`z@dI2qIZ|XYUU_8LXzuS*wUrp!I03<rGZ_YfIGp613#7bG7#Q)Px3ny2P@7?yxY{
z3A>a)ggh2Lpm2Za*8m;+JO!sl5!4%OGN_nSz!v{Y4;z1Lz}CK_2f}Q`F!5YKv%9Sl
z-W{ZTh>)egdy&+Jx1HixJby7Tyhs^4&h?soI7or~$g~Z?sgkHb4$j?0Qo*f`FL&4u
zP=ImY{gjoTG;Z82oRM3mig!6%XBtmyLhprSj^drN=$y-0@Nu&`X5s$WN;fSKovsuJ
zKe8U@K5v`cvP8zil=440zS{6Yy5LUJb_FbZ?d2s{Lcxxd-OhUVsqnPYYw=u+BIXV3
z)wkHIg};2W=1*RwL7-S&v2BGCQf6hh$qG|3qbAyH`IHXm9hhXjIIoP?Hjg|TUGuf9
zH{OpHQ|Yj!bTyinP{9)edrLILbdYcG;rqloUAUCT_Hoa-H61>hDZJx_4r=4l_u~rs
z@b-+2spMxhY<Bs)B4I;Eo;9d*c?N(H_1E*({H{R!jaJ1iIui57pC!NuRK3zgJuNj*
z_w~cS=UV7!Jk8RQ^Vb+W{Ekhux=^rr=l;CLcXV6~Ts-~kjVbuBEXN8sXky0v<1~+x
zbUZNswTgDd9H#d+W-kh9p@_Ux>CHJER1b+tui8sMs))vEraM~Lwy~SKPhAI>DF4EI
zE&vQ@KYd-ks)e-XxtIE~G<-DK)^6!y35@4=_yfe((7fmXL_oX0OjR$_!r4o*ccnP2
zKqmFagPI>&sJPQ4PH-)61lCNGso7Rw(_taAel1UA*t745FIPjgGy&TPc567hqc!Vh
zjVAUlIWE5lC*ewopY6DlHFUjmsMr2PL8jzlPC;Wu%)RNra`T8aNMHQHKV7JSk?Z*%
zT-20BK`)Uv*<sc|75=lS%bAQPHwsE<ZWPBPuQrYyZq}f!KQA-griS-JQbmg<1#z`M
zNzGru8s05kCttTzMH4*%)kA(<`1%psct?vB<WyA4^XHOKRLL=JrwJ3z%{nJNJ!%E(
zAM_7b&MIN;$$(8d&!-u&JKD>i@mPVp?-jvCM@8I9tyt5z9>z?&V#S}!mN3+o|Ej@T
z9#8r{&5eFkNj%bsd)}pF2^Xc2cbA<kt~=Fx_P?urghAhJH<9}QGJ;d>TeeDJN6j<W
z+_o`d@zeat>$(7>J&k9Zlf|)T#UWpdcZ#_8*2LvQ6af^ZJglA<!AGC8_m+js5Slze
zWX!aHh`T3s$eBWzTrnj&^lg@~tIzvkSZNN!mZh8{P3!RKm;S#xC+CP$*@n`M-DWV!
z86KPel?VHRy|@!E%n>nx6HiL{%wWklt#ZkZ6X%&<M8s0&2)oc^<8~`kNIe%gDIm;-
zLYr2+`yywFK7ZbOoF`3Sr^iM|HhpGv7xcB*mNi4L8*~m&*BFDgiKlV<))fZa2y{@n
zG);`_PwXJp8N;ET(k{7Ae;AWtJ8Jk(O%V@Hy4t1fHUj34Q?E9+&oZhmX7ztRG)WXv
zOC(Ys8-fh;=VB?hDTcY9gj8MQ1o6mHMd^otA=oaZhTC2kXT$`#%FBKoCk72Wc(xoi
z0AY^dl2ENt#uKIT(AIT7iPL4*#ZR~C!>su8mcHWyj0*R8((R)^h+P{w`fLe(_#VG!
z^;K0D<K>?B<X7vy6C(FsKiTs@5A;qHMUN%6F@j$hK|t>a;dx%Tw?JMGj{08|3=eB!
z*fCX$C5;Xf#g<R1Ml*GRYx&gBFRvQL(pZIyfZ8z8+PhPbRZthQ@8|faYL_#1ZWz~c
zxIRRD^|p0uy+DUO16y97`Fw)G?@JG++7A&a<%F7<038;6R=)Vf-6yK|M>t&~4-qzY
z`DJn$I)GoemeM~yCj<@-IBqu|B0}!`-nUy;2iQ2t6B~Ba5_(>=_~`f{!i9tT`tVvm
z8ucTsBstU*@w9wL@1-GvyO?)ZjsXpLMQevThCdSIl_v3r1;Yf(e~Rv%sZ{V(;JM~-
zqlKuen9qob9U+3}UXGrv(uSzTnWHUcZG?`Ob*<m|QNmd8WUI`W7C6nNM@=@j6U^D0
zb7C656U;-xvPa~#pe{4&fq6hDk?p+fdC+o<C^l`~6y%`^+S$o|C4AjP?{+)IfL}j}
zzU;p_<5wv#@@d(=_H8fGmE7a&^!XQ&Uac?krB4HjcLmwHZs{kqcZ7e;o&QZlE#*`T
zX=*@o)2jvZ&jUnUV|Hkr))e6#eMctw1Q{YF2mZ<h4-p2e?On0)(?oG>`*xicb@=)%
z&@x?hggDd4!|VQUh6th$PAq7uLkN*q=fV7)`26#@bXLI}v9Uwcz5Toz)bBng5X?G8
z9M|f&H4(l*Os3IZe3()NX^(F=c<AE<N8ZNJ%*aLJpVx_*UQbns`9hC<mp(yoxYQe3
zJzgS|w+6kGZcu^Xe1WL8%t_*m)NaCzyh`MVT%u+WD&TwED)<WXG~v4^guDC@6AT{d
zi3)l~g2TdW4~<f1h<EX6D+LqGU~1<o*=9rnvje&17i{N<@~v00L^4?c8b9yiex(eT
zt(m8qR2B$#5tE1i{Mdmv#ii2IUKyI2FPmJ^UnF)>(-d0*I6?A8z%jjVO3*MJ5dQc0
z67e~4mhj2r1{Ec-bcv%%up@}`(1|}QM3(1^!%G5u5LnHoStP0iNjK-;WqUFK^Tfp<
zZ(IkjDi0oc_EHgeL-O-IdYIvD&$z_?Z-UVGp^#y9SP>40pS(s&WQFs7ZrUu-!ceQ)
z=NPS}2>d-q@`iS@!)p&4yVMP$FcOm5JUp)e)V=o<y7zFxNu5`@UoFL<&81avQ<DN<
zDfL>xWp41Mby(L2N&+{><Bov}1>j%p<5lM71OF>q2ljlBhTnSro3@rJfRYD~V)B!9
zFeRiSpYAUQY++j~8&LsnT01?v(<%t@s$y$_TLJ8eI~P=bDu9Hs<vZq3Vfgm=(*B3{
z6~UurN^VS75e{uR&41TG6vz!*<3rq)VHaCdZe+e9j8t;zxv7YQ<CbHI>0}ic-fmN*
zXs84;?~Gnv2T9Ng?mRyuqXuQ!0jT;<34*WAJuEmUz2;;0cl<{sgM|0NPhXfw;2*X6
za+OUEitJ<#73`rvLiSv0l&uOFO^2DgmdXRi`ou>p_q8C#>d`&Jc2&6b@9JA_J4F!P
zY5jLAD-Co$IkG-Sb->xyQ@`t#;1SEM-xhj0kRHNR&ETUzK!VEaw7n$I-;oeiw}%b`
zEI~;`ofhO)8nT%PsDj1b$a<YvUD%uY+mU>n1}~eot4G$UK^@+Mlks}sW}M06zKIUS
z`OYHWW68ktx4Gbymp+`b<1(4?)Po)=X7%5C6e#KWSmVWN05>uk$CV1!dVS#Wr1u?~
zAo_LKGHJH~RQzr}cUsmMbngd;SM1UTPI6$1p0@!6@P@a9J~0K}rZDN_kEsw}Q*Xav
zRUg>;ds@DETR@S<@uPWuG-zmOQ9rAt4+Zy{Jg4FShNb97eHv*{=E6tL`lSoBzvVB@
zUR%P?WaWi^HXVoyf8?{<mJU^eakpmrtYCkr<GePn4s0vtb8)tz0SkY5!I4&Li2Qm~
zsHlquZw`l#oo3O5i94Nlhth1onbH*JyLJzUo`$`vR5kchP?39B#1`Jqj*0JhM+K+m
z*RQ8GDgiUgiN+3BTi9>p@-D?j8&q2Ns_vJO0hfP@MfN_nP+$0meIQH|8XaGlR@w=J
z^c9OM@y51LJ1%)xAxHyaoZpzfd&&kUE?*bBGGYU>jq&d6X6mpVLcTD|j1wQYZfIXR
zVgoNXclmstQ30OuD&qE&e#YXHPA01{Ysk7*GHF|&3~b+}#Z&y37;X=Kj`(b|hTD!;
zuJw8-f^}1nUg<m=Hb3ieQmeFrfA#e`s<!Ll^ah8Rl_NZuClvorK++0gL^U*mIHe&-
z^%!5(;dQv-LF_DBv?Yjd+m-9aB@QRp7810t2x9&D1c%g7fW(zQ&aRt<;X$o~1ADX(
zZmv!hS91pt+fZG)5Bb5%W3T%>lQ35OS+E`~AV6uRm?t@c6CCw!cJf&W<L|HR_rwY<
z;7Y42%f{EtknkrW%+g*MFO7a{@Ox?wIh|poDeXnVKg?z~>I&n4Fd;qFZU(>8KN}mq
z`Ayt?wW8_DySB$KO(BoX4BXZ?*Njnm2=-%h4U?Th$o7Rh&Dq=(n0(v)<4X?{d1sqe
z1?~&sgKE*3skMCa<}zGPPwHeG6JyqdQ$qOn>6Pnen~dT0FyGB~`yY&5iIY!`?GwVw
z{C_HqRE*)gdGZ)1|1=}}{1&cIHz5?QJ9BH(X(O<yeXO|nd!FI?C%b-pmk=gx7A(;G
zX$TV<wCP^&B}VS9eILgogmBhh;6HD7L$LYw!R%_-KSof-9^M~?LU?X9vOJ~902KFU
z3V7r)V|{sm!}Np@UW)(P8}48L<K2Sg<-V-=G0}hZlcO-6XyxGi)u<1@nv|=y3bSLK
z%OM}7I$`v3w>#UtLm$SP7nDWIIPjNQ{KB3cBIs`Yi}-I?4>s^!Ub431LZs?Zm)H8E
z=$kvCrcrt@k$xWTwR5BW&*8D1)uJe$r$p+O(1Ru)JNfhjylC0y>NuV!hMVmwruRJ8
z1qqG3x4o?Vn6Tr5f%s){>^2H?;rG*p*`a@qLU-3;Qgln+hWipoJuGKtDya*L5=YP9
z(GtXdo}a&df0e}0e950KEp*UMpVfOTD1_PK*7U<9X?(4auhgGGhs4DBjq|HQI4&D!
zER!sQ1Z#%d;WgdbUCQ~M@2@awOAcx)uaiT?QS+5DeL9E;f6fbK6-Dpy?@37y*5m1^
zi2Q?MbokFB?oO1f7}}3l{yD9ufT^tF^-)Z8@Tm!maJCc2Wo?l?ObUv4Ip4&gb3q3x
zwgd`&kCVXry3I%KNGf5X083@|vJSY-$uF&bl*F>^OUYSs%2?nqQ}%5wk4?({E$7vd
z#`H6N<nvl2e9zyQ)la9x>Xi8=+HDyup>=J3Z>NH_(;L1|`_X~&BTRy<DThY=XCwdl
zsp4qc1y-*IbZAku$u_E6kH7RrJ&lspa5Un|o<p3vK$b3vPBc_N>Pq7bqeLBfJg>iT
z4PU$G#fx*@B8vFJ-o{h7nT&=9ZGS5+>B7{l!CshG#Om{=Zp|Ya_%3E>TSk^1n1&2b
zeeY7jfGa&0U;UyWX*6?_sJ%Yii{o&~u2V+Qqg*dPcWdH3RY9lI!UkZ@XZ1Pd0SW({
zpx^Q+(L(ZW$!Ym%18}5f&t;{lU@wcoM~a6wwy#VlxQ!S>z3h37g&<XYx{g_n<%>4P
zwJ<m<$Bp0`<Hw7O7HZfYmZm!<O+`{vvfpcF6S%~oZ})vw4Rv%!kG)r<qISxG2P+Du
z@HRy%e0PyLCTx7GIXk3{kw;dy&DofNN{Zv8gBcl9%sq|k_GqK;`@bVz{^pR~z<k!C
zl#CHoU%snkXkiJp?wWU;1u*oTf(aH4jM(%waO$Kc9!PysJ&;Vmp0QU)xu_Z_Wyb%X
zq9z5aawy)*1c2Uyd78DJ27c&!-S_x98J)Xa<nOQbuTG)1no2<pERGDix4BOZ3%z$g
z@Zhk7qdJ>U?W-kYkrC6r3?^0VJJx9{;baMg+pk{AT<e>MpUi}8<|84q)sr1h<1ArM
zVvaz~6Ls7`y2El#NC{o^`s#k<Tf+B2_Qew`YUog56?IEa0c#V))+-fT!mW{MCLL8Z
z%<^D$kvJ}kMvva|Bo<i02cP!Np9ZQpursv4XHpU`yuZfZm~09B$}`VJ^;Hl#?+)xN
z6~lh{%Vx{Ime6YA8K9v`!U$%i7~dLU^dWY4x>7A6K_OK7tbj7w?!CrhOclh+tG2Of
zlWV>H@RND%HU9WTr&!7U<VAAJuJN3^0BSndmWp~5Fj%>(FO<xM<W%1u&piN6zvMsD
ze?=Z=b$jJmh1jw2NTK*9E`UtyZBE6Ba@f`MO!G}93vN$6u6}zT0rZx8wDl=6sGx6h
z{LDQj%-%P9OZkZf7+=5f&96)fm)*w*zQ|QZf`)#e45tN@dL5U_oR&b}Z$>&}amx&=
zprm$^t2w0e^yXA-7e`-45vQi(661dW0096043~F2)omEY?Y)n^IrcisUgthmOGYJ$
z(olIdL<mJHD@CYK*?U!HWc{9mN`)fXG9t+yA@ut9`s;q~&;4B2_c|Sae%3$V7)q?1
zyH|Py(Ub9}TYhK*ds%;#k73gYZg}T%zPo`#*UO_?W#4RIf(2WZ=MNYGIRi3T_6VTA
zUc<+4QvYIZ9$`0$#fHGL;YJbC=0}f=g%p|bn;3zpYMIM!2)Q*Pcebf~$Od1xOZNB{
zMo{9KWj${ID}mXv(%*Q{&)XlG6vwx*w|xNtK^^)K%->+}&4U~LnUm~~aG*o|Y-=QW
zLwz7R390PS=R%@xA7;`V=+WD-!$Iu%dLX)8diky~Cn6iMPNaG=AVCp)n3=d9gd}Bt
zZ1&+m?-=uFwHb`4Ze4S$FIE>m3&<K;46&n@`t8ntznG9ukc9aNr!Lf5m$-)ev7@)G
zPnQY%SWwX+ceb;4bzsf0X=SewJG!+0b>#C#R^+9_`67r{2fk~_3?-_uqofS!g>whk
zQOL0(e_E0@M7dT6V`l8A!s&il!(R@h`YAZ0Lvcs1ZX7v%iyehusJI)5xX|fl`#}3@
z3Ou}M$Ljx+9a$v#M8C@9L8Fnqv5U48AlO7>)Sda;2Z_#J2l!B`74PEoZ!&1Ul(n@{
z+<EWq9}OSf_>m@E*8PzCWT>~obA<loM6^=-uAVyrsIu)y`#(K0_z`5cIR0><2z4t*
z{x>+(rO&qK?F0$3B(ri4i1MI_pFVS&{6dI;6;@g#li+yi{pTDfc+scfznY5v!l+w>
zpLgvD3BIuJH;6gMhh&`C7P<b2AhA*I0beN+h*pyy+Ee(^V=b0+g;+5(Xi<{(-!CFm
z^UO&v-~>>1f_zx5g#?Nb-aMLwh_H6M^o=A34ppa?zL*h`Lf76jvy7z^VQ8-N$X#JU
z6i@l$7tJJt#E51?yYCSp0JmJQU?7B+&+l2h9Vv^*3$?VV+eFyQy>jJ`k1!f#*htAp
zkwYVbykksvh;YNYX-4&(2>RWI^EY}ek0N|CzHB8EL9l7`$}~j`Mdae_f*0|qBQ$%=
z;WZI>YU~$WtHn{F6`6~hsE96YJgzDHLj>PM`!WXyN%X=@Dq{4i60$zIS^k_xf)e)Y
z-fA4u2={4Oh4fY#=}E=Ckjfx|SN6TC;;%AD;*xzQO<Wamug6sti;$s1>(uIIpDdbX
z%`Q50K@EMHoDN#b-O;IYGMZg-sCd3MAfiegiEnFl+t^W{f60G4x=S8`^;BxhvIf$<
zV^m)&s0|Y)k&)HCc;xAozt|?Bg$jxKrbWxz@RNC(Qt({?Jt1qf?!psLaL?WRjyWCp
zQMbJO@`oat_xj`zOh-h)sZOFZOnQ)0E$<dTu7p<ZK8TZcAfls=^^_EnK1e;`7PIS7
zMoR~WRVYzJ)N*cNiQsJj3rjS~o3$z^Iqb7@>k}gSOMmBA%xgoaU6PJ-j#NeW)IQYL
z+#;g&MhcE5W(+fPzb%*b)sQYdWki5VL?ESa9P4EQchY{8N4!--Q7?maSW*ax`v>a(
z`q~r<yeb{qwA2x6?gZWG(^?2~&p2|G4&WVOGR(n49Tn@YuD5q<pb$>4`iXde&nJDR
zJN?vA!o(0shF%>Nvb`PR5u`!smxU0|1M2AIQlH4goC<pT+L+fXga&d~0@tQD)zE(d
zY$i$NN=QYRm;U-!8XUag)L3&>4Q&~RxE?sJfGW!c9=_x^1E&P~g{fv$6!oI`$PEU0
z<YF*i_et9f&gWieTbfoujPLIq<vuNgoLiEsLaAl|`p0#A=aiA?JA=>@E8=K<=~~-e
ziW#(>Q^GpCmC(Vr-04+a!pI|Iw$&162IZ+TyhHhlNFa2d7a4~`SzE`t!$xRuxT=2M
z^MV2r2xoZX=g*5)^P+`pGib0~A<Q7Jf=45CTD<~=>`0WY6`$fj1D+A(N%m1W#ANa1
zDz26ZCC{^F8PL-}<`G#fI!zWCKTen5&ZI-VRdZVDxd2T3ZX5SnrP0y0q~;g78(6-1
zeAV180I%}6)YXfUXvN+XrCnLU{>0yY_30B8&Pp7%F(HVfEq<F6O6UUCHSp|l2RjuK
zHuKAB1w@g4KzBmQu^Fu6bJ|5VD^utQ{F8l7LKqDhhUL;FOkwBWC}yyQnm~1^paI=J
zLDaz%@r&{7BzE5ZlEgxjF-%|XDm2X$Kw%Y5L%Z%wU@3gNZ-%oQLo$<BD~lXIsxhBv
ziFz}EHAFYH?b^wmfAKu3s?oei#?gW>_k9xcKECuMB+U@4nP<57;knVj`rmRNE2l8p
zWtX3h3kDE+vwhlto)bl+*-DY5e`9Z}ChPlm89?0YgZr)U?C7Ub-%pdRSuEG$?IL@Y
zK3tXXO$!cVMg13<$H~$QSg?R!K{tawbWPGf>&3GmX^BGyjz1Q$yo067#B+M^D!MG<
z$OaSorK#Sx@o5>G_*x*u(xD3)YO}Ml%uL9fo@OZDwTguhpv>Gv7g9<Z_rw7sQk2y5
zeY~=UJz-3@>wT^RGShlg+X4pE=`Gmxg7g<V%B$e;N<jy7d{xKojTz7>ot}Zs$Sv%%
zr+R5`sy3{Q<hcA?rAK_MIq_Os|FE^xt~1(F+HgC}r@X$K9%(?H?B(6`=v&H}<+o`R
zaD3Ad)7MLn1gYC0by*B(;H-Ijq7nr-?0Rf+w&@XGZah3vfC<%EoarqtC4<awOZE|S
z1|)qT@QPL<GYZAGZ41%Jz{{qD73DLaBObq>*=Vz(n{=MDKf6d^9cV6iU4s!#IcJu>
z|ILPC=u<Y$E|P#Rdb&=!oe@!WU!ARe!+|`cUuo~<AVFXgdvkd#6Iyy%bL?sz7pi*_
zovu|(1Q99zH$`5|D6`YeHLQ;Z1<!MSR6j_B^8v*5CT|vmFI4Pni{(R^DG8!N{|NAt
z_pl?|BUa?n>2LU@l^+Rnd&yayCcyL8<J6X3Hgq|ga?f50hY}uZMKyG40Wp+eINpo{
zX;7sLU84k18Gagf&0Y&)PuX|SK64_<_JEj(pfEbh4l#Lyn!x0-Q1v~68##}AbHvq&
zptOB|U*rU6f~~KVQ;9n-IySudw<k;t@yXs#6jauPl$Ets?pi(+<?AFj;3a`BB}{eo
zOlm;nGwTkAUVc=m|NivBTT-aBE$WRzg9fCLwW!zmaEND#@-DYp2373y`WjNK0iy~_
z?yV;U(b;S0zi|#Z)N(Yzu(MJF;$Khp1+)pFv*&z_nfA-0D%^Yavx6E?BmFTe%TWX!
zUJe($kcmfzUCHIYlr+I#IEJjgEsCDnm|n2pP(*+J&<h15XafG}Y0m6Mab(ofPTstw
zgdXh^Ta6%UK?t92Iw?mI;YS80#W++@O>wyDz`7PJs)W5ekt2=ra#vrlCaWSE+q<70
ze+WR#b8y-^A&WfVXypJ!9dV!8_f9C02v7GP8gsuchje4Aeky;^KwJ*vM?LIGAR+r}
z!6Hi@k@tSR+UTT()Y`(YAq_Iz`u6oGp%ahn!U9*zz7mkuIm!HFH43;-<?UHzQ$!5z
z23Hdv6VX5SORviIX@hsbCGt&BLU?&m=VN3NDs1+NdvIR|kQDx5qmMFrd(eoj;~5Fr
zWnEfzSk{G%?k9CsX)0)~yLAPa$jIA`qGjQy52D}XRj=2mqH{WhSsGeoRQ&tj##3HH
z5Y0c5=UcCaoKs1EzbcT?wPn$lUe!k6Ti}qAoW7G&bj)iTqa@U6cYosTSrcH<@5uV@
ztbu+^6g5VlAtBXKC79x&!YTU;|FS1FkX!04yTipq)avp@hxq`2TStl7J`+v!K#A_^
zD<1;N$0~;(anYdZ=~7vpqbABoU5fapu8F7tR;~P{G??;#o;ga<M8|mgb@#`qp|80b
zhKCK!z$DQ2$6AL5x?KDbWa^X=yVdiVoNP0=IGu$nA!?w$qVYf3EeeSH`7g1R88cuI
zH9jrksEz{FKBoqJkVA~3k>T{h=8$J>dCGpT8WKnreKg!6g}QvkJGG_Fq5j$a5NQEb
z^m5m=4`I7RQDA~?z7xAS>`zgbu&Gi;;uTD}pA2xQ-!Xx#-ERiH;S%*K=1M4jiB>A-
z&W$)8^jh;LnL(@Z>!9%l1r*pb^RzaU8I3bNOFU*_26H8OLPQE4an*T#EKl9S_7;T{
z+KtmdOYmS}f8Guk8TGtR3SPtx;<ZG|uF)XxPds-9UKTOB7Q41FjbT-Owhq<YG^p6y
zD<*J63fav@xj!g=gB`J*Y~D%+XkAaP{TwBZc(}|zR!hC5_Nm*8hpPjGS0w0<{SZMs
z^GfWurTVFjw()k!zEqHSxbIcsMIqGm;X&7tu~F)4#yGmhL{o^l_eI7>0f##Ime<ef
zOi)?GrqMuy2}~4l%U$E-N1G}ywZ^9=sZU2&N3dyQa82kloU!0RT>;6`22MYzwzS8k
z-=vK}@8JA@{v8}h>wv8?d;28ym07sb?juHUU#&jyYb7hPH8=kBDr$m?<GS{bDajB{
zdtPFq&NCsZH!k)(8mD$k&diSu8i0R28_6n=0o@Q@8`5|(N)@|2+FGD$0CM9>G)Wse
zlx%GvL^JqKWyslnh`Xi_84R@KCm%L3mc3gZ&6oPAs{Nj^1E2Mv=j#o|0l#(ZHQj$z
zW47JYjfIrC*P41zVLz&VJ$@A{>XJRrP5w+R5zUzijnReREREJ%xMi&Oj`j06`*+kf
zJ+Id3B^@xm;o_b-w}657+Td}9dg|M8DsSU49mq~{^{|ne$9B^+B32l(sm$Nro$mRd
z4gAJp<}u1Mm;in}_DoSaMqLR|Vlv&)rzyvb6MkWIN89*SSZlE9m<LnR6%<faCKEmU
ze_|*-NVh4r8Ebr5{fk+P0=u{84|u+wz{b_@GQJ)BgvlT1k9%B120fMaR;9B)u;o;-
zs+*f%unf1L?YbSG>GsRe>T?;#;-4(b#;<o{3|X$Z4y7beiQ;~ymNJH=IeN*P&GlhE
z`)yhF8Ia(I((0~tnKA62zn{&i$sw%6;6JzUCL$DgH=5WEk798fl~3gSMlfcJkj%vc
zM0n8g=G3n4QH<|M$vL~wG0gD%F4MJl1VDExme=UUFey5z?T=YMFcea`OKwpMw9f3`
z>*g|sy_3qJbLyMKSp0?>Oy#uTG_!O1$%!%S+f_Q{8O>jqVHMps(qT=gcl@XkpE8bx
zVge6eXaB}TYM5(=Vm072cTn`fn?JBIyK*5X%Q=j^8HZ_nRtLXdBTp*hCa|xZV&1zr
z7qD?lyIK|zb&zp4Nbzo;#Nq<>?&-Y0hz%#?yE&gygKsQJ15-v*SOh=uua@>Q*1k`@
zU#eUcD7URcBzu2h{$sYDA)6~$;x!FxD|S^FURZlkT<{y)7MU`o&iujLzzzH2rUJj(
zD<+3ZX0faHL-m1k154Py$p5Zc83OFLs%!%0u_yDN@?JY{Vz1VJsZcbOf#*-fa>J_y
zEG8)BkpK8LmMfWmRxL>h+(Ir~bdy}dPTVMuZ~IDzT-hTpx3eq3zS@WcTJ|z#;?|Y9
z<;;L87}6c=Zz@94-i5llL#x;$ru()x*q9J!u(8_QwgQM;O$y5;tznnxEHqCJGoxtB
zal+qQ3gGm8L!Cz5z;2IgUFZG5ieB<><P32uz>{Hfm)*BEvAYYoFPx=!{%at!n{+xJ
zIx-#o*8go|A++Vqo3UJ|Q=ZN3gdraG>>pm^9;QQsBF1)_G+yMN_s!jVP#&&4Jl_y{
zk^y-On7SED@FTORZwvNO@^IoxMRp$t6FQ+Q-|SZ_fI7cSm+F|w16nc|=^0{1YlAj<
z^`U|&MP~MO5{o?W4|%pf9$`h^5An?vfx?Jm@OJaAUOBKf=<$ve;Xu9NM>S<KM9~>>
zHPYoeIY?)Z+;$1$LWTo#%^&`Xqgs|bpGwQ*!0h&*j1Z9*eKel9;U6P~2z<4d$(S76
z+j>N~!o!cA9Usa#q$P_aM*0fMf5^cp)t`<J^99h_dfC;g3OUr8@ua3eO&(T+bAF5e
zCy2U+!<nO<@#vbDao&Lk@?f~6iBb*-qmt7mG9GwElqsUJ|AQhPdU#xp2b~i|+T~}`
zxw({4+~@#RW(p6C4Sc!P1>)#BN1zgypemYqXCG(tLji>Na7pFjQYbl`bHBU3I^yH+
zN-@JLLG(b@%uJ08;>o%1AmXEmEPr6P^NW>%H**1XTF9YlopbuW7y+din>gp(RfQ}w
zj!FGSd2}yyg1?8AgtA84gb%l>!{BPuKgWX#=mKu?qLexr)tiuYxxBStGvT*)*s>zB
zH4G^t00nhEK6y;4nFwz}tIEC7mC;b;WsAE;+9=A?Q8wZ(8TM>NWc{*LMRk8pJt^eX
zLG=4@yn}bOVN~}7Z`ryU0-wr~o6mHRR>G#4O`|Tn7m@!R5U+vkLN=$*GV3Dwwf>EI
zB?D;A9{VE7t%WkzUlm?q(?uK49tX)48$s&*Y-?6$0varvw6-bKL3D0xdM;oJV(%2s
zCh8K=Cs}8C^)YRP9k=*<{w%<=)$FUccKW%h2KRPhDFum5dkp`3N&~C!E%=!)L{#!j
zm!cp^Mo!m-ecqRw!2yD;glInzUBw~SNg@%Q+n!Bo%rFNt<f3t@gosF1*DeHeXdq6#
zF$ZrK3&?$#XZHO75p9(!9`-$}jF#N){N*3AfZ{a#<+(cq^g__A%Kn)=iaa8pCaY)(
z^`9<IQ$)1T+`y^GJY`7~!qDtyrELkKFX(Lrc6f=6F-+>uJsjfCG=HANZwYVYgF=1J
zsG*qShAZ|-tVq$U$oy)v1vGn^b6M=#>GKJzp4>aWw6)19z0b)4tfA#Qj$aAszj6O#
zF5N^eZn1fAuG<`VWIh?=zu=Km@UFT7wiT+J>UO5Cr8#KdpLEYlltZ|oOg+_3de~bo
zd#1kF47S>DSA6f0Mw7vMGlpkbp@+HYv!{R=OicecnO7=~W?ZiJ{t4m)=H8Rm)Ib_M
z&392rY8FP6vDpT57as5-EjE0d0BC%!XnI8whhpM<wZF;mL6^1XkwPZ`0gV;(!G{;s
zWZbnrRKf=`QP)FF@~D9E*&Ozuu_LK@3p438KG?3SZEGwrg<Isv*2ZK;l<>Rd^CTxf
zgdASlNUSjdR{gT#5r!>{kk>Q+W|I$&x1Lg<?=^;!@jui1+LthUT(nAP4<Dpj>lkt{
z8N<?1=X>8pCb0*L0W&IveDHSmWL>eL5zHr@TG5Z~zzXu1XATDPfz@Eu+T=AuIH5e*
zK%Rd?<qRp_TW-q-Q4#lC+gl94TKxT?UEjY`jrWFLIZ5CHPPZF#apDHh;IZx>aDSTm
z%}0k%Uy2WGj;rwn?Qpekx<+~M<3;Ko$8R7k$p`gAL60|k_23eEzs|e9O2sn-%S&kS
zLHNL|#bXOSh>(!|FtxTpm8UH)e?7zp`R*epRx5QO?%s<z%ffBy!cvsg#W+5AHxh8L
zT~ikXXSv#<dFX+FbM|W(=Y#p(o8~J;I*>TkmWL~0fFpZ(chHa@hG(NB_Y-v>(vXQ5
z1WZ6kc8^v1!Vmabv#n1x+Hj-wTN7&wGfY*zFSWZU0H)iMsv$f5qKkT#<YmPQ*`1*c
zK5{sK#ZO+>M=8)D&-#z?EgOix5l#@E!$H`VA=mF46d*lSc%Eg=0l5}6evRFN@ZW>{
z?`#SbC{1Ly>gnf%BRG3Ko?aoir&vgoZYM)(=;7Br{@hTTwpE$9Dhz$6M3e5^B!l^5
z!RZIeyrA^qZXg{|bZ7s`hwF^U&^X+c)$hv(^b>8DCc?y^ret@g@iqzUdU2gjZu~p`
zk$<IkO&pFHGw#ZNPXhI9^MK(K0`RGMU&#JDl5iz9*QX+t1k(Lw7p5-Y;J+O9@kl*s
z$l12pPYNc1Na}-;&O3r&WF;W}mR=SVV#f}0{6~Vd&~qJMtA(Ik#lA9RRTeJM(TDCj
zL4xPX*SFR;gh8};&)DsCIdEEUy2yQo1cTzPjzadLQ2XWuA3p~ko}PIim+Zg8QT`il
zHML^UrBd2Mr>p=QeV!MslS#0luNR?eBmosicYi6eQG|r^H@-xDCV|0X)09cOBv_bt
zICKOnfxx$>8|`9b2(=JZal9%G)H@Wjs};)dqT29YydN22+bmaQ#AKo3BKczPv<fsl
zLODiLWQgH<EzJH;7Ovh8)Y~nq2G>gO1an=X05x?%i2Ju3giC7`Nm{FeNXy9}W+82e
zppZ6QhUB5}Ud!!LcMa%#c08x4T^rK)&N1Y7;vp=(!13ZGO&Gg&@0e?r4(#`6;ShMQ
z0Oh<438RO!fM=-@>EG9dj+eg<5o#5|Hg>$714jTStHjga;`Cru1=qlus|2#?nw}YH
z1ZaA=XSN|<A407hr}1IRFm7n7o3=oJqZZ1$4|W&;`_hnS?m-oh%#FhSqa(t6lPB{>
zMkClFNm9MJR3Rom=45;e0j_&64w#x4Lm=Mg%JD)~P=089!QGSqBZK(N7GD#1@LRjY
zS49mB0%DsR&T7G{*?-sG=a@nrY3iuSEj4(O{X*K2rU|=a^n6^Jsqpl?((mnZHIT0I
zPK)SNhp9f+lH)u1^7`L(X|7te9S-`isGy_<6P%&P&-Vdfj3nynBQ<akSI)#)szC4Y
zfp<ejG-$~Z$}6={gNlxD*+^3*V0(Yd@?Injf(6RF)8DCrg6nA>PI(2W&ngflVKj(3
z*qU)mK^5wcRbnUq$$?{2`b6+B4J4>Fu-`=m44>8;ZMVw6tE5s+-d{BMx?lSIjE^#G
zP9AYHdLsczur6ixod%2ID!SWOl;A{}&w1@F5n$8L$>DFJL22HH+X1eMFl7EahP-p{
z^`YNS_b1YTPdvl*yomz5bk6ks?ZpqdMWH5|$7!(VWVGmW93IrzS54{yxZypA;+aG-
z8VnCa(aI;~z?9|O>fBd07#Fa&i2MkU``q`jbAv1pMYvP97nwjjjr%$!0N`D~++eMq
z3>;>-wf?u69&V7n$J~|!XbG#?bCp#JV!KX1Ne$Vi%G!M)tHw}4fp=K*=7Kn=Bv&-t
z%iN&mhkffk-)#!cVT=AE8={ah?DHLK`$OGef0g)M$`sgxUE7QlM8HgRY9W4fh3c1{
z6DM`n1TrsuxYgq&1XhYw&8qdw)OaPGGxjCMAW}50J~f5|%aOn1uCPpH5>V+qyk!Kn
z*@g94fdcTFam(d^{W3M-lFNF_ej~UrtHP14!w*W1y)wx?%hdNLnFiQ04Pk10Kz9?z
z2M#q+aI|rS%G3Sm!|@FRh(0J$xS_%WY>s;-*|%4z>KNzv{9ywKI#GJV@jMq?e>q6B
z30|W<a_KwuwMri<Cc`duPjkSlhJGwxe}npK;3S=hls;Igcz%}3V}}C`*Sj?oH>qB<
zpD$j8>wyhxzE|gCHt@Lp@dDX&o2uX5E#0uJ3-_By=U*aL7!taCkp<`gz2z`dIHwCL
z7xk#+qO5T43}g0bAA0b=(MOpX)Pa7_r}K-cEI>7OV_L3dfJi%;$C6Gvef9|T?+-f`
z=zkYeEG5DOLnj=oU-f81)ZUo!eHtuq(vSc7mvCl4myWu1xM%}u)`CZ$zyfJS)mMYK
zSfTRUp)Ri<6o`c*#{`eC0I_VtZoYsG0#CfSUg=GN1MW8nnK>-*aV0vy@gxUeTMTQj
zm?&`N3nSx(Fe^N~JnyNg!vz%11<u^3WO&cwBOO)53byX^UBsQe1{S(^7U+?oV5IJ{
z;Au86-Q+2HCd~)L3J|92B|)Uc_fJJ8>=0y$f_@wELwi+c*W3*fsP$GRl^Ah=`Wemm
z8#{StDNN>W(;&f@aqsSr$2b9d@Jm~+5(kgjjT-(96M^Ad&cnHEF4(l*q&*T80<&37
z_07jb7`b`Wcb5PUn3x_-$cPq(`$PGzw$4PD8mp8x&f^7h!CDU{c~R)EkeE+aAOfO<
zi<Ou00V&aL`dp_NOmVdJTFwx_uVw9-Ssp)hw;$bgAWH&7S~sQxvI*eXviZxPOaLx;
zxE|$yAO$|#nwf2v2@va}c=m1=4(8(TZ=`3*fN^g}{_R5qptGBGQsfnavM-%J&A((}
z$~Lu0;Q#@Sf3<h{aY`8G<+I9N1?54RBCZ*IfdD~8eiC;&M4&#x8<B1Bz<Dgn@@Fmq
zj8Z)lpB@ndx{I=A_K6C>z%#As$Up?<Uk-<k{}tcKGftYutRiH;yx#Z8f(VxGqC(HB
zB|+PS<aEhS8A2JjezYeOp<+00aP+=39P=t$?5t4%v5WE2C%H)QaFa9lD^(T<mu&7a
zsP6dXX4$!*M<kFcd^odUCI<>Bz8<F@se|Y6XxF9z8I~F8iz;p9;XuW?xPNOJ5b5w_
z_|ji8?A`PE)Zf#1C{H;1(tn>8To%Mh{_djyapaNO@^uB69Q=BZ={5nXHSJc0cJ5Z@
zo-n&eq9PbDS>4&Umk43*FQb~5b>M#h0096043~E}mVXq+?U}u^xA(PPUVA;qOZ|w@
zG8;%lk=39Qp+X4B%+3fAN*O&*8Ifcqd&?+$kMQ&Fxz2Tc&-c2{x$n=d{2<$n=ZzE?
z+ooFZRuN!Vi+y8BP93fb)7VedNCWobqEiWj5~SRX?lB6`0GYM07hh^+pkYD9a9dRg
zRt@7b1tvA2-0(+&?Q0zLczdk-s3}2{ZaEvXwKh~<c~wYx4-b1uWyT+9mEdpWpG=WX
z9k>tuVbpT6;57O7I%OUKhD@KwY#Ql-nd$4z&2m}r`KBaS#z6pP?Z&p_We6-?;^>xT
zmV?p9#2rGq0?=z*zVtB&fOw^^j7v=p<c3Q0NuT7PJcR3t44*!<tMQi?%gBLc#`_oM
zv3SsU*w?s~tPcT}39KI`Wg)e&x073524++W#|kM);CwW+{I8oV-0C2x(Pm3RwGa#+
zSdifO7sj}yT0C?mUDeE_7l#Bg2R*ijBv4_T^Hv?lfva1SWYbL%pt&?mXPH2PH1(R$
ztRWd7i$3EYy2cOH2wT|ASQ32X{iRE+lm_o!n;F%UJYZt?Ifwcd3ADs+NQK;z0*Q#1
zLi0yBV5jJYuGTRUbS=IvbP$(>R1*%Gf>36dVP|)YJDhWtbTrGcK^!KRLJ2?TXyMPy
z!I$S1`oLH-wjO_347z_1)p$-(z)lrH8)>HxUX2?f|51s;!*0`-lV^4jKZ_T!H+BK$
zJGf4k+XzF;YOOip`zjLK^=t)w0T58tn(kdE0DiCjeQ>M)izJSf>_sR7oOT!LdT)9Z
z>TSIVq?U1n;oS+Zu_y#|#KAUchX-n!%Azdddy&hte?&}CJ*XF(Hi&NL0+IH`e!Zt{
z$fI9G4uKV2Ad~8gO>gG_FIm?u-T8WCU0k*#Ohy-Ue;zyia+eLfW_q}9F=B}7l*lRj
z%R11Zx5nvkiWM|SQDKAx6w#3^JIj}?4Rr0{Gkcj#AUN!ztEW|mh#%y>Uzyf|=CzrG
zg=Gdnavm3a3~xsCuL`S>D{H~q+nukzMA5;z=Cvcb3>}DBXgcTxX#&OlW3PpLX~0j6
z?q;|2FC@-N!X>s_1G*iHf^1$=0oBhY*-tYA$Y6L$?Vy4N{Lq-+E~2J{jZx+xKK3!B
z)vK0i>!~`pY<)F4pHB`)KapEYUYtaf7@0|*7S-VN^XnNMfn?B$zvP4aF^vr5l*KYw
zsX?kfxz|;$14N^GBc#agFR~|3Xs`OB3XS9yqD#Sh2&agZmKWtBqM_}?TdJ%I^?#!j
zJC6NBObt(x-E>?=dc-&6+HzHZ|B0Lb#k0FeUSUY~n8hkGs@on%CaeM%>FUah3wDrR
zvzB9@&DN0=LA^9W3K4j@yX});2k{!^;!C}_iCq5a<z~)Lgntf(7f{X}#6lIN$qe2`
z9DnxBS)?n&t^ME2_r!LP!G}VmsL#8I;Tc;7d1+-BlEd52I`1IOKk{%H0{e(EMMd*S
z+2P%<zm9JkIjnzIulr(32G&6h8LlKHu=O;2o)@u;WIsJ8S(HW&Ar=W^ZQTS2y-3=Q
zcKwIE{#tzSorV&QE7O_?x)Y$cW@_m_zdghzbTW$X2^F~U8hm!7BfwQ3>TkH}eZ)&A
z!n8_~1}=zBU-2|ogv2dJaSmQG;1a9yV49!>(Uva`cV8&Lg$*~G(K#|`A8PxYUq=td
zUVravPRYaPuF5{@A#$+aHuJG-VT9Xknynm&Jd`a~Sa;1*K(XO<OT~RAh(7Ks9hoTy
zW-;?!L!4BQER`CrLSTi&jM1mZ5A{eDmm9Kwi5e{L`kXSj%LZ~0H;kzs$->H<PX4J@
z8mPbR8ToRY9Vl{C7Ru>mp?q1VN97V7q+EyzD!<AJ3AHcOe3J37LUt|6ke2}(zd!7x
zX61&RH!FV<H1Tk%@|3srE+Z^RaWC)>@IZ%q?6(gyIH*w>sJPF_42lAtvbVnTL7F0y
zUu6Lfx{Prio06>1Ys2W`KgADpWwmEp0&s9#^UfZnJsW(PwoA2<6@vJ+(Cw#gI6xbI
za;Lmw2hwxP3%ATfV9!N?jKcG<e<$^xrwk|jb1JbhNE3yc<URfTSR8Z%+ni(-7c6^;
zHlL>!2Zl=p!4H1nU@IVxO8q(y1R{y5kAfv2BkkTK3*e#S+_d%x!UsY7*SOkwq(CKQ
z_p{qiJlyH2so7HHhnUPYdIwAz8iRS~#gb&9h0a*G%S;e%j}h6`{BfXh!dgJ%xg3=A
znTnBz3xk>ta%2Ex!PCtua;ZfgB0Jc^m{&zWa+tM6h*=)o?(A(OA6JBS>rf36K@8T8
z&DS;cDL_tX#tFVq0+^>}cs}wMhv;1Ats+wb_#d<ETZ~i!-n_R813x4n@Ljm`s<0C9
zy9wmvqsm}Swq8rXNkJj2p)K=>5}4ytuWcPwfnWI(-Nqr(;E-o2ZWyEtwl%G>|I$=p
zwKKt@uulfAw4S)jx2Fs<fub)y8>zzz9)CGg6c6WWoO6E~5rK+Np!z4fCcF*Q%yT>=
z3nC9!Ua8v=q35}d|K^$&r0^%QSYJ8Zum3m)T;+&BJw|QJGN}U<;)qY=NqIQ=RylU}
zy)v8+T)1_uQxBdR+ubyxP=Gck8jX=HB@i>+XV$a^=)gU%uJ%^|I`aT6+!_Ho;thxT
z)bt@=mg8uBi2~fUsayPh@$h~yx^SsIeYnL&SbmYJ0OZT`H(T7~U^+U%jhI7%-^p=*
zjw1^2vI766TLuTlYQZecQU>sAz*UnjNgjH{^LH9QO2V;?iPX^`16b3#cTW0^95g;V
zp^=Y>!8w}X<zE#Bke1JsQ5Gr-iB9|-%<lw2O9g+={Idbj+UWh7l);1dXs>I52@gad
z$kmS525>iqbl{RD1DUz_x?}EaU~<2}Mg5imG!?#dc)BMANmH5k-d&@E@XljYtT+Q`
zrdj>*^q3^*S8Vn<|JX+|u+|d#W)fgC4YMmD;=pIHCRTrJ5qa!ObNap=309Jwd?g!1
z!Co5)w#J$ftxp_9!oT%F-&8V1j9CPBcw%zizv@TB%WQgjUG+hJ%~7cSy8zrdn^68U
zW)5x4eWYGJ2T<d#=Jw_lAAD<3{Vcb>in0vZ7qEH)#KpF>bH3q*bts9c+S^1gx~9CC
z{e!@8V?toi9}f7?*CTfF%?{embH03bR}UQHG>=<eU;_s74qFP-e`xNz(8x=idLWRa
z+IF6q8P=;d1LipPP||uv;*^RmK);rY-w%2?@<L=GO=}OuGo^gazn}v~c~Lf`O={pB
zd?0^$?jPzJ9cL68r47ZykH=ktDPY=2bG+;1KXjKqKuF=M7TmJ3uxIbvN0R5kr1;)0
z`lr8;Q<qi?oRjicHLbRhTY0%+WzTldviG~!NoJbB*g7K{>b-{89+#|)PTfWy25_JH
zk)i?K&x$;l1(p!uOT_mTZ?;g&ze`VUEvkcRL`a}<_zcoQr^d$Fxry%iPDb<{-i1~K
zm6HNGhU_%|J<-9uiCSOiYfjHogY}+}wz%6ph%HCTc(>aID!+H3^Dd(r+)mAJnn-R&
z_B~+R;?FwzBAdSh=c@|$sLifMhrUKEx9J(hpRJ>o;up(2##DeVSBTlZpaNCpvHYuk
zaUGq#A0fqaMg=Oa`^i2_Xhy^KnT~awTSrf9@#bwb5#efB{IuzZF7)WX!nV5G>*$XI
z!<Z@3VZFigxgA?S8fG48P*A^)?r!TiG+@f`d)03K#`*|)!Wx~S)7?N*opJ29NXl?K
z_OT8g8%O`h-n)8dYy<WGIGa84RS6O;ez{d%`Hh<5URu5{+eDwYooSe}Py*QK-Jsc=
zMg@AWRibaV(58#znGr(-P>GRc8w~h^F3)==j*V=ir`t-u6(9Pe8QzUqhjt#F=S|H2
zs<(?CbiX$-A}7EZ%A@b%k`_@`X7%_d?f=lpXOB|y2#O%wm6hNwyo}E9Z?={u?4#5H
z_DxAw6hP!PJq$irL1%7V=FK%B!)Py?{JEMb4+ook+7>ITXdDGg;B8lOjK-HCTx3!X
z8txjf@A|K!#rd=<m+~mE&WCB{J@Rr;y438)DYS{ooOL{3LraCt`Y=|P2FL<&F|>4M
zWD8A~ZF!>?NsV=28_38nJP?&kk*WF}^wWn|T7R@?u@xKIpSfyyIJs}aU)b>vWqC<C
zd6bhLi~6cSX`hAzapa>U8{+{wai;XlV*y4?qwq$?U1l5vjxX*ARFh$iCs(NqteLRm
za_aJrAIm^mq~@gQ5ejU=^TFDu78dNDW+SIEgA9nTD;1L6qr@)s`io8KvSD3wqJw7=
zq(PqV#nCfN)EM7l+t%mz>{!7*t?R0yG$h?rPJLcSgBcDG6^LgzvBIW|hvwZ<aNM1p
z@njYqHu3IpEIT(hrq$YCIP*jbe$I)$(k^Dex=#Gbu%O_@kVl0#o|;NQ@{ijdXJ?LJ
z44?PyCypM)nCLWQ9L1#IOl7ZVl@$vn(Ls5y#8CjF7xYxzJ|YG3Y>(^u4p^}o$bWcs
zPzY<MozSsnkpexd2D_8q>{$FJ@2+x#2v&Y=)SF3O3b-!Z({rTe#6FfC6;@Rj!(261
zwe{Sj;OQ6ZuL{*%7>!DsLQ%aq*1r}J{jNm{z7Fh!yo~3;9$aw@cXOA-yiZo$TCkJ`
zmZIpGlP~zNsN_cZs|0DRtM5n&54#NHTXVR%e&WZ9*TRDR8F3hH?=kZcDjZP$%zER^
zEQC>K%n}cF@YsD;!#+(FJXD?L!N?3mFvF`Wsdu;Kuz2CLQm@ytVDD|?RUIRWQ7)|c
zsU9d`BSTK^&pqTJMSuQU$FdmKGAdI!6-dA=6JnloKT(7`jg&#9_7d2<3~_YLPYF|K
z*zwQbC&1o?w1LEaNvt{Xq(rczGS-=jp{B0N@Lgr9?z*is#>!q>`Gr8l;@i8=#ZjpM
z`Qi$5M4t@S+O!oM(?`TUT^1Cc`k@N#qz~es%<)*7M%J%23l*&C+w-@*b?T6K>Y<5A
zxhz(@ntm`Eu7Ww^XuXpMG$A2(7^iUfpSD=Rn`ZY^FejVb<ZK2VFtqv*8OEi6QGWQl
zA1<JR-MXpvu|Z!CEKL7hv-qcgEo=@vNpmJ*^zvwsgE~N;6H+RirHK90qY4hSRmR><
z67PP}(}x42Xdcx)MXWCue{6G)fKA(B{M~XS5V)t&qC`o+zU>z_&VNwAbVhyTJhn)%
zcjfxQ@JB_A>>(1*%Os1PSis%UOE!Rej#jo+Jc^jsqTT~n5oxR_qBi9XlObH23F<x&
zSHPV2jtis+ievS6=n_b$456E`;pq7(IgIL=c&NXf5QgV;+>CTKgx+kMs%x&YSVw#C
zO3e&6X8eb$u=cQjlhK9t+eaK`I{vZ0gO3&K#{Ib5%WDWh>p$Pn{XTq;eC6DrBo$^C
zwJACN#Q^$#7ka<jlEkP_7+Pv3uA-`zGsa9-20%@Djw7600s~4b)|R3#s5a7(z&%I;
za$1e_ZU!-oGQ#PbtI;%4ShiHrXGMZ<3Tk{}LL!(F--WQ^v<)QBy|h@MO&`z}-g_dC
z1Tg=wq7Ts<`^dKfMd>HU^x?RWEJw{gFLskm;R@~v1vrH-vwf-spmXnF=YGS5F~=<X
z|H`9+#q}Z0!#D^o1?hhUlGw4~6N@Jg=x6}jaYY+^5a_!UA#*N-1?ybZrH<*QfwFBC
zw&4IhP;ZW3qdLQYNf!rEQ!3NKe??6-xzBYW#6zJqI)xge!YSU@*QJH>V&~?)3LWS)
z<QHnQCdat^=2&)EY2kirRi*EUHiTSuV`!q?MfC=^?+JaO0nOJr{JtF8z|XPekc?YH
z2bZ5V1US$@ZpbC$vldz~{CSl!fN>5zVrBK8%Rg#hx^exkd%PyNFqXfK;T%ILGxiMC
zUsA(=(}Fpo;~G$-agffBZ$$&<e16WFP($>_pSm$s4aj$L&%Av;4`E+(sfc2x27~Qt
zEy6Q(_@1Pv06;*$zi*b>iM)<}SyVPl1@AS@6f&38;2WA|Qhad~5k8S+_F<F?meI<N
zK1($ao+)JxXqZCiRhojuHmIPVc9=i<Fwc^y6Nk#u=8$%}C()g<)Zl;4-6Vvl3YDy}
z{&Ez{$aP*yW$j>UV35Az8&;qK8x5zv!sAs$G*%@be2*H)L&dfIB~*YInBY+|yN+o7
z((7nRp@Ex%Y3({WMDXhkSg#;%A$t>ka+H^7VWv`4^Ro;QIMmWPzk2K-XZ40?42<aD
z^5gDNvNB~*rFtb)l>HBJ7!nAmwWf#NNUngx^a?MYMX|*7?<0X{>0fokFaXvR0*#$Y
zu)fGy7avImSN?Me=2~ZjH2+2u54Xdd`}c3y#rNc(O-Dw&5W)nX-IMO~&?<pT_N(_o
ze<@%g-tGdb&jO8h8i5P>hkBJC6sfF81s(Rp<dy_hczjt{R^EaDb!LjVu~2I8?Rfe}
zKc5Z0GW57<>?lGDw^O^*3JrL|MYpmpc9`Jwzl*n5gwqt$R4cdXKq_9Qu7IBts&olf
z3|$KFoy?h|mX850HX2KP58?tE-%tHRXB6Ps>W!hjentoyzWk__mIw4oBc+EX<YC{V
zIe7UK6Hu=!e|0Y51^pWvQGOxvkns)+=xbturP49c|NM_a++w}p6?J)Ve7xVhyT=Mw
zL`K`m+yvkntfwXK%Yij>*UlGtcCd9;|Fif&2<l!a{<tzI2P_V9R_AVVfDgX{N908j
zXq1on?^>4}*yYUSEC1qztly@5lrf@kKRxVm$&?&qetbAmb&4B&4Gd!qd&D3)srn#=
zPagU?Crkxrd4S9b?CS{<P%^AOPUa~OeK$|g7`)_zf|9{D>r_eDT-5u<wjdAb?`X=)
zJ^0~Al6U|suQWs`Ef3fxDnLj>yu9xPK~NY}j3>{O0k5-#=L>xl;R+j7^6*t*aOU|w
z%t^$943)KjABg~M16`C=UqyfceUjAHBnyug1&)Wz5MXFkQvK|-DDcj!%!=5_!*h0!
zCcaSuVU-)c=h(zSwbe*OYfJ%N@6GL9j6dW<efYv{AOVyXyHmO{hkH=ew5^v;godX>
zQ@nnXfX??)l70}N%hLawz;_k+fc<^F^hOF!T$QDLZ>I!?kA||z_|;&rz3IK~h%|_;
zT0IkORs#E<v$b|%>fl;5;`Ejh2NxKV?Pi#j!8E(}bj@L|j1<u!ljXw01y3t{yQDJE
z^4u9qD%FDD+XegcjIt1$bDA!fRv9$U`hGoOs{=g-x<P9rvcPQ3O}<{D1O^Uy0Yqv&
zVD#zBJ0B(oRh!Z7l>$n@eMvQ1>lFh0cZRM1kjaC~$6=%2W(3I83f#qB0Gye;)*l1%
zU~n}<EGS+90=q(ui;VQ4iPqC(*FYX#RitxADIVs+G0Mp7aeZjl+Yq0plLyJ{8M%N!
z9C-K%htt`U;G_5Q-N<M;a7daT@5qn>YIe&iw3Y<s?P9_=`eotXi^|^d*W%!FlwZzu
zhXh8>6*pZL@G!F!w4U)n1mrht%$&Flz&~F|fY^xxh7V1&RCWB2AVJZb!C?R|wNc-V
zNErxx%T7J$#SMZ@?V3jGB-nC)(_V;|hPE|-hn!?Km~-V!JdKi|fZzLE%v(tqdBIB;
zn9cyIT08qZw@5IU!@K!PRs!l@N}u&3QbK*wWAjBp5<G3H-$pXUAb*=jk8WZcVdbql
zJ5i+%<BQ^ppZP?=Bth1}nYf5l`9{wKS?Ghi1ZC8qnlMb2O$qJY9YS1Q{Yt1C0|=vP
zW-PK401JUzo?f?0kke{IQnX$GX8Pp5Rmpr1%UsN>?eqhUV$K%iCj*#TS2j+g<AIf5
zI<?ma2GQEks}AWR2&mTiHf&{c!d_UM{pH<p)aupgO5S67a5DSXqZ$u(So>~yC%X7I
zx*unf*5aWHp6;h{w_RC*TlZuY+2j=ZI<Z;CDNP3qSgM7Uq?v$m$IbTl@)XLiLYG4P
zsSW)+AvCT%^dN37$TuxGg--I>Tr*|Wh7V70DSjg~aCBn8ZzyXLok+3UN;s_rs7;lW
zvlbP^MbO&}l#Zi9)gmQR$(oRsMBA4$P7VQtiF6l_Q8dWYH+FYM1D2{u6ZJU<2y=1$
z*TB^QwEWH2qtA6TAj8o5^9|a6NMkV{PWtCBw4q?c!aZIcF3I`n=8bJ3ru5RC`k5W*
zKSs-m<Ev_L$tRITNoE7#j`4l7Gu4Fp=RE3|Jf{XMmfxma+E<a#hw2YD-D}ZXE)wFb
zwW`3PrKWGwzKo1IjOm``&qkB~?ocJjsKSW&Gpt8w2~n85X~`FmjWFUN+%!=I&e}#y
z(z(nd;zUw?if;|l#G|A~cSHrWe(joOG5tjve;%xGnSDhh6MtvD3MPUtsZn)Td=}wZ
zHW`s)Z$~OmgqBbqC__rP;;3laG!oJ9s7B_>Pvi!Jzcp2WG7R=;sb_jkA?8RA9d&*$
z(jp}({gg}@T-b&auEqaG3`DxG_fHHW-ZkeYf*vVBHDd@xJ^61$HG?(9IA#?2d9}gp
z2a6Is+cTe(DxE}*AL};1R5^~=E3_@!r5@^D1bUH}GKmy3%$=^9okW%vgtoZl2rwPx
z_A&m`B=Sz8qE%dB8p(alqS1d}5x&Q8`LA;SMwE+l;xfW#kr@h9FQq^M$}NNa`Z9kb
zI#Qe$eW~XV$MfP@rw0!8GJQq9=)x2tf3|Q}=G6icaF$Q+H@iG|4(6RqHl9Y3Fke^G
z4@*d{uz{<#g&fH7unfdpnL$?34S@jl737lNqKST-EZln0nXX<oi<Ap`Wd7?~MQqPL
zJTpCjhiBV09AkvPNH}4xuRmrTk$pGcAcn_-$+?HQ&nD&&{GArRn>RO+z?h@{3-@v0
z)zfxq?fU}q`y9jQ{orjxMj)lyq(=r~iwrIk?<^s%P9GbnKkp*G7m6JW)MP;D3G=~L
z{xafw?PhTVaUVI78Z17YEDgA_+rjwV738WZ)j_Z)8Pw_0sGXsfh7O)Lp`l)DNH02f
zc5j*-mWd<!r8f`t{i2FFo@E26pgNUO6HEzfjQMq{bCRHL72uTFvx$6)ul7p&j~cQv
z;{VFIO2RidGcfjJ8xi^<d%Rbj7DC(ixz^?+Kqo7}-g<i%IluT}WdD$77%#uvp|~Rf
z@v-jcg55r1(pn*Oq?8e!Q`o#)WRQT%S`5GF1IVCnTh!$;i5dJ!S?#{L;=mlnraiVu
z4sii7JG0@eP;MR>aK}U(MA}w48y-=D+3Qmbro8NM+}u@}YgY`M{B^60k5hw6R_<Kh
zcaB57dES=&UJMMWRg_L2a<GFVeDW{kg2K-hSzjNB0sdP5MOJfqh?>#A?eu{M4hiA(
zJ!>&|b|tusB9jp=Y@V**+2n)k5j_i%24W!dokDFvjv3N*e7y9p3BcxwKf>80F*uqt
z(mZ>Y6?n5+`JH)%VU=;s*uho|y2tENJt)~B-A}^4mrNAI>&#TWqr@OSpIRWRgaahz
zUuyO~7lTf_RKu(ZF_`fA704OP1zRegDi4e#z-Fm6De}^xf0xoIDg^St{(Afa7eOgt
zNskJ9OD6%rq4^|+0zR;5?aaZk$$+$zsl%-)320F&?lnB%2TkFNA=F}cxNTqeNtRp+
zzEhUJs|pr^k%v=XmQ3W}{JcfvqJuPiC#CWVq=<l=yYb44Cx`wh|MARCb{zP0I<iGD
zh=KcUw7}Vg03SM3)iVWTAy9KB(=kdMs4lzmQ-&$QocB`YOqe|Q|7a|GB`yi40<@R^
zW+(&Gv7#+iB?3@+=SmGVNP+uft-St2K7P3|>^;)01a(vxYmbKv_~5P91D~kCTgSxo
zvT`DPGu*fF<;DX-mNDF`s|tTZOP0f%R3Qgnrx#Zy3r5GYgS+0T0=JsO)4R+XFiI)i
zD1FF-SHAjZ+#XW}=a<!|+3#w>(|bx5aW51g?dCNZkMhI*bxF(3eH~!Bo>KbX7e(;l
zsf->HRfW#eo~@FP5U`b!{4sFukbAP&a?NE_V6QiU{LViBqmlj5FIfZ#gZJaQ&C1~6
z$z!r0M1oZDS9Vvw5FkA@m8qLq2__!7e&Z7|0RB?PewDWbptN)6Cvqvk1|Gq?EgHaM
z>oar1?gYSB=X2-f;h?5TlFA{%5YA}_tCLn0fiWk<c86XPuHRq*w*^B8n@y8CQK|q0
z@#}rpy+pu~EsBDh?-<ysSKl=gk_QDH>isZ&UZ5CzSzOF=48pb0wq_Gq=xDpSx=zmu
zEW+_7Mtz3R&TBF_VuS<i!!X_VI&$!-t0zwjFocpos|Y$NY1k=t-Tt!n8}TPu3J%j5
zLTcg_!rY1ke0fUIy45+3+QilxRR<aXDo9ozQ7Z-oDdbI>9owjFu-xyj^CTc!oWW{h
zL|~MOXZ?sNCAOQWO_H!A!8qCWyYXcKIN#fwfbr2`KCNVuo}ct#g3Rr#{~9l(e|3#>
zjbX%;Po^vW!Rf;hmkI){Di{0@0096043~E})qfPn?Y+0`&AqOBuf6Xv(?k-{A{7#%
zL`j5F5gExUw4)s*>U#(k5~<KHGdnXQWc>Vlp3n0+=Xsy!ykF0I)xYuK;1oYzclfMz
zFB>2+f!*bFnK0<&Z_B@OTo7H2{PJ3b0Vdo{(}9~Geq3mcmDUu(#*Z__e-#*@MbCP+
znZgNu7w%A0-Gp$XFy~8qk|l6B-B`NuA2S?ZG|)NcA%yKb4>ze<TR_$L<hd6ziwqm_
zUf*adA&e+4J^bOIIcPuIdfVW{6eDkW{Z0=lA*?-F_}DVj3{nFx?&=Kq#dvT6nQt@;
zqSln?$ID+#q4yleQnzX?gOO2JJ9|tJe^g6l*GZbfHv0_TuetSv)?K~6P<284FF!_P
z-9ZyDQx_N<7w9F%j-Bu4oDjg5XRG|N!Wbmd;!o|D93@ipI5+!$6TnP;N|~IDF?e1T
z?ov+wL+ns)-<I1cfRm(g*GJJt5HG3UkotU%xPGR~*;zmkcYV<i<sLJHI8U-@&Z$M>
zxxCPJyF-FF!p*zzbFU%zXUym3EG-ke96Q2ee+%OFpr*O;HUp?ENwVoIWWoZ+W7dva
zg)ph)YlEb_0bD+^@*+}~1;=`@WBiQ}?svcMYTcm^Or_Tov!1i!Y<_4T)lL}Y`I*4q
zS05toe?w($c2x5V%+Br;#tfSY%bW#0aIcZ-NiN_(&ass0vRo0o@S*O}WQrc_2tOY+
zF2#j{xr$s$fub1C*?BKRM-R4i>Te&v%8eiAYz_tQ6vHYduc(?Yx)AiZ<Kd_RFRs4+
z!t1(M9L@NcQyWg}!k!0F*H>Qhp+J>Q==o>~+{_$#j+>?n$>gw`3*G{_a{S9=?Hft_
zL&UutAEtvCrG#W5B7|8v!@IvoN~6?``U%!zI@~!BuzzM%2rpz5zu29;4pVfgn})*Z
z(C*kPX0arUX`jCuu&K$S!$%FB?VIS3qgQl0lS>qB3r^oOY?s5|hSRz-BswJOI6Xh4
zE{5(yK3r<W3b^C9T@OW!4!u$b_D$>%$Ib5<Z<-qwF-)#@Hk*eIe4<Gv4mlFYvq$l6
z+;=6UF%OO;3(%ojUTp8q8A*JkR<9mEs*E4fU+!{OqC-dDVt$>sG#-yV(_1a5ie9{%
zYdme~pk(yIW@ca=@-I}jJhxQCS=)(8sR%j@mV7p@kCsJ&>U2-l6YAJnDSKGHk`8;-
z2Ht$6%41%D%_mB!1_lIr^R3G1LSaE!+Sfk{cujPtpy0eFwlF8xSY6SDbxZ1x1^N^*
z;Mk2%qQ)fjrr0%alGOu=P^*HNwYj-3NmQH(Cgbvr`Fpmg2UA*^xX`GKyqfg*xNL2t
znRc9;KCKV^htW~JUIp9kF|j#3qM%XQy_u`722e44^P|cKRoraZD$RUT2i>yer(fC|
zLa9sN?c-HyNaUY7L=U3kh6``+{Btw{Hvyd{&Qf(WmNScqW}{(InX&MEpfQ}QS`9P3
zu7SdS$>w|YXgEojFAC?IK!u7^*5YwZoM@Q~Kn4ws+lRakcbY=p->9V_BP}dox^{U=
zjfUilPMRYs=J2ooU{`Xd7JiOcTK-T=#Q@#T<GcMVpq#Vj$88@H9;w<MC^4>s=2qKI
z*W9s$*rkbe9yKHk6_4?<d`Cf*z03X;Eex1W{?&eSiG=TkKfFoWq>cZT_&!()1?Xkc
zvq<73<FV6=PI4(EJRTIcJTV49YTC_ww2y=w8cNr^@-$IXMz1S=yA=rC`pmDAM#9NK
z2l2gU)p14gM2OdID{$H=Ww|0o!i|lt^lV2}+;6;dPO-}hD&nX3z6EGuLhcghfVeVh
z9^j1hXSRkD4RSAPuWO=X7l+C5It3JUs~YX(vxb(NE)&a-HE`TvRxc=11|Ns${F-C2
z1_yfyRj)hhIO)h4`t!adUI?xgY3jFv6U7+~<_T(OALTu<BqD~dFC|7!zqEqF7T>%{
zPgTV3OZhyVLKu)zaY#1O3Vxh3w7sLDf@H{=G*RNi6HeC;au`^_9rj@ti76#aBqw{c
z?%>348NTc7`vHy~wu#^UMiJL{Slvk6!HTHP*h5VQ7;LS+QLUta9}vGAh%uqTo2jeS
z`T$C|l2TJUWzqcPid)6%A`x^gr|aNj251CJp8Z|A4vY9-1oR2~C6wC4J{1441Yu?l
zca6tVn34PXuoZ2FIJr+EI^4h#_CzO5JJw0yoULqjgXJH>)ScPIC&FUQfA+;~;1S2V
zJqzE{C8vlcUz$xGVGiAf*LJT2iQ-!`k+P@RlZ3a+r_6aS^EF>;;J)-v7&q={ep6R8
zNknmkhH>sN1It&2p1#FGNM6ow*{nN7yrs#!*SKp6d`&T|s;q)2dw+N80qH-4UGbDg
z>XHeJP&<m9r}?lpc{#AvahkABA`2YYVFIEKO@d15yy*My4qxf}8DgL!-}~VUV<<1N
zcNf0Kjm*EanIyvIi1uEI)c{Fj2#sX<eb$Z(gLvZAUTvEv(wk_<Z$ueEQy=S(HWDW)
zsj5qqx-Alad(>hqMht;lpV*jY%Yk;Oer|d(ON38|SQNv<5OjDaEB7a}<C~*$-r}ED
zh@hTWl^cx)5F+%#)|`tSV}E+pd*v~q&F{xG?&}SpfP;(XQOt(BLhN3j=x0W;^5=E|
zYYX#il}y_b!G;Z)4?~|ZSkWL{{cDGvKBU<5S1t#z;fo9V#g9H@!!3uM@=NRWz{P}G
zS`^QQYL^RaPSH4U@<{P{_8n_=%hN4?D%tSg8PE9XI!;V8E&AHkrwh!%mb*SEvSSZt
zjq>I*+<3RvP0Bl57s}PH@SH4QNA^!W%$82Pc%a-;^Qn+7Xj?5V7TIv%Sl{9d0zaAs
zCOQ0jNQZ05(lR?ZIWdu~wx4agAlA)CT!?U@gS6sH{mM~JoO&j6y`)wMTbqyUIXX{+
z12~uyJHv$!l4b`P^TN1<oyQFC&|o+B#bc)xc<}j0+!_v|sI~9kXKfD}M7!7pe+}ft
z)~gpDSrv$(>pTmkUW^83(t4W5fAOK2b<#qttON>W|J-l(kO~`|3IdKq3!v?tXSOOY
zByqW(_2U(wg4c@{c@Y&M+ywJ8(|*!;tp8)RbiWR`2F|7=$OvQ9^b?CBh75XUd1PG4
z)d7*RjU4w#BKV8v22;JE93~|zo?7zNfjzH;na(+j;?$ie)&wU7)R37=yuVooAU$Ko
z;EEV_ZZ9qRTC0d}1vxrQHtIn8Su^sR5phi68S16}RYGsZX6kJp9e7VWdYpByB-#qI
zi1C=HAZ5F)k@*cBsNJKhiQ`hJc%E+{<B}@+=OoSES=IsPLQ0u;_Bt$^+-K`GriM{B
zGrc-usUYHYCS=Y_7M1^!V<@{cF!!}P51$MTmbqWGGug@Ga#Q@-cV9Je{e4bZ&qNwr
zqw#rCloXLP)iY7Ejf4}5ON~5Iba?A0F2bU%gbLkqWpPbpl>6*CqK$N@crhJ%(n=X+
zVN$Hso`Tl*xF08<(*@a|5!a9JRl($3VHMVgI%rn*`A%Yh9>iW+-76ofirRd_5f$@P
zwAf9wHH7Fx_^VsnTJNc0<pH)0%E>fr`X#-YEz1Dff7lD?G^k^`+YQ%UTy$J&CF$Jn
zFa(G2(5&`B4b+}kN!sK^M?MYLv4<AMpcc0$|HG^%Ze)Jk25EE*Xcv9w@WKR)<^Mdh
znb1O35e7-_8XZSw>z;ozHG`V7>(bRfk#KjB%%gsPIyO>72D?9)19Qu%4fF&u{<vS}
zw|A{?*K;|&1KTaZeEq6wptLqJJ8ksI3!>qQ#joGCUl=fNe*F9GliJAV_q3_WmWojk
zc~y})02kQnqrTtK#+Ho=Uz#>jF#U7S!4fkokd(Rk^~M_4AG~AETV5q$U&-wK;c6?;
zU1+Pw*shIj+ikz(oY2Gw)fp=XJ!=q3SRD`eMn)mGGpW<>)i7&gU%{R@Yv79FG+9(2
zBj0Fv-bpSMe6YV#f$`EBuH7%KU^OA((gKxl+))u(iX)~^Hdw>1zM1F|buAQ;a=LDR
zKnD4|Mbf8htRd7r$kKR911%Ry$SG$f&{sfH?eZOKD64KVQ_NS#(pSBfyM#n=?-{OJ
ztw*h)p3Jq%Y_5jp9an!Rn)9Ll1?Q4`WNRSt6>u#!sNk<K=a9vN>}Ya*7wflHt2N&<
zA`(25arezzEB_d)M033A$*~A4=sq28@A6v_@8+%)KYcYz%$qNDNs3#6PsCO0C2j>|
zdzy83m&z#7*=ZEAShU8eB-KC*cUc^w{{HG=&`n5Egz8@cz=4s@*r*TEC@<H;Vl>-8
zVBcW%=zRv<z3t-Ey>>_QOD*9yrm_ge*=;7BEta6$kjh@IB#xl}WLMFD<&0Opx@Id(
zmSFnaAc;#z6ps?ex4-BAz>pdiHaMnh0ok{YeBMYF#^Ukl*n;o|#+3I`<(#iML?;C{
zI1C72?$IdzPdghJVq2t*hHsgHNb}PR^$on3_k+{3>B$F1?2yky=zuB2C0Sagb8usZ
zMPi!0OBEyXNrHbS#T2HxTyh<fIdJ}_-NXIe&l%<^g4L!cO<<w8TA$mS4VmQ56z*TO
zVHm{)Sr|4LLu|;An8y(;xb5sawctA?g!O6F0uL2q5Gff<Uu|N-*Jr-x#2l?9&M5~O
zhn+Ekj>gruc{M9UK1-JO729TlY5C}kTel&6n)H#i*}g=CE0et9PP7sy4E(k>+Zn=E
zpMIuj+eISfrWL*ET?Y{?x6l6NV*|M6e?0h7(mbITVt9l@xR=<Kmf6@VX8@zcbv!#X
z{t{&(Bz|^>exmR}<4;<OKFkEq@@MeO5ss<dy1&m45x$>)Z#c`L57t$$M{8-bM8x@8
z+lZFmL~;7NobqTrcwlltLN9%WSiPoy{kzTtF%j)nU%jFWgUn?c2dFbd`c9vd_Z+7P
z(F72^5UmS|KMK=|SEq@7IlfC7;?qQW-tkX!?7A?@wX=zvX@+=y`)_c?=nRpv@3qhB
zWje^%IL6a;W{BA2g^jH3bA)S`<E~5@IwWmMi(5HALre|%x8LfVCnC8X29*}k;EOT-
z9O0cMqMkfo)Moidd>Z*w@5Z2ke^t8|SJ^CaX?ZL@++mqG+E@L4rkD!t?sL40m*<G*
zxi5deEL|nCjQ6~^?$v?a`nKE0ll~Ib1L-`bTFhvl92kFJUI%_r%I{^D&J&mKF2&TP
zu;8AO@Oc|=3Y1U>n2dQAiK->8PJMAUyv-KWYw}PVI(h1^L|^<z*oD+ZwUx0W+as^p
z%2hJ#OR-FQWU@?%bbF{fpXJ1kZwGu;J;<QLzPfa3-74YvbHV*o2sd{1DGI)=AVHp-
z_eJ4rOz1mq%Lu>Bi$(dzxY;yG5TkUeo=PwyGV^CY`N5Bu**jGda<w2M#YyTF8!J+?
zg=BwIgmA_0AM46GEts#0nc+RmhV#{see{wrY8_=|Sl!ZuIQmlL=NWc<@I;^E(pt{D
zdR!-Bmx(4w(5Y+p!HJI?`X9{P6+^G=?ZsFA(}30^Jl~?DxKZuFjjFQ&61ej*$CLeu
z8W7%GvS%rd7k64b_Y&VJg;KBF#R|4)K=9?W-2ck?@t9GZT0-zTv}SK}3|7*B{*yw!
zcSMEol~am%PKhjzIjgDd=FtGf&)5`lKp3YrU(|geDIov;jQNAS8sL#fxF7f?f(<L{
zKdKKa;%t2DB|%LMXp^oKiaa2O#iMw<W`{C5%C9%@^U;7g<KiRNB_(k7MUTmqP8EE&
zD^y9PMg!`_9tp&cNn${r<wLz_HROxD8+OG}6EbrPX0wK*apZPu$4OHSoSR^^d&I2;
zEB_rV`^+tiZ@Dg##CWyv(doV1f{R*^{nue@ptC&26h$VOjg#<Q1)u3h4Kf^=_96T4
zRmAe#8e^|cZ4}UtU9rs82HwG^t`hf@kVC%YRb7h?mP)nBH@NFSp)l7aK4ujx-S_mn
zj5iGf$;=^Y1~eGjXLRSmAyxD?Y4hCdOvj5c_XhO+>Cma2C#>D3h8Gqth=fsfQIxCM
z<<KWxxWw7+9koRRx9+>8NtxC~D{+TI?0fZrWu;13sZtYfy$O5RdPNV@{8E^V<qW~y
zb^5$CnS@eDmmD>i^fA}8J~@Qd7+PP;8*!W^qj72E{&rn`d|fePJjZPcTRr}md6sJ<
zuloK!<qG;ZA<266vYI(;INj{rR8PUktpE52-s+)?{Xf&<^_Jl8ocw|Lo(_(Th0&II
z_3)lc{-e{>H2{Q3beP*wvAn6|_f}3_EQP=%D{U)y|8}6rC!307uEW&Rr8IPUY;Ag7
z$Qpi5E4=-ZPeoM)N*Ct_9h6p;csAE!4NnUDFA2F)(b-)n^lv2z$39B2Mh4ly*2;Ao
zHoVlqF2miL&dch!K2l7qx6=l?ugrhny*6jW_AOUcR8$aB7x~^O+CqeKSboMeZJgTB
zK0Etd9tF=d6@?kv!V~4^xS&bKM}eLH%FaomaCKP0FBMzJC#ByDOVC2styA`o{|MnV
zhr0q-$8ErCd8lykod&uD$8;tbaNswc|6YmZ*?^G$14W%7HRLfi{xM)PPgo3;f0s41
zfnuUCDUewerIcL%3MO<A4R!lsxX~J@vYW(W)+uB3pv}Iq;C4o{Avxp-Si@pl!h<Yx
zMZBClQ`Brc#VB;CZR{+!g20^6N49Hu@GAHHqmu~>jQB1o%h9#GS$LH_<W!I}at9l|
zP<yb-nAvI7rt=iwYlP0`27L)!+7Fu)mzg1@rsj6Q+Foqpyi3gWMDf)%hnz8AR;cSA
z^NQWifY@#eb=M<8Sf_gJLo%>|U!K;nD@QHCY-^|@<vlOT+ZAaj-em)Fiv8cH3l<>2
zQ6ltJixbc8849@anhkpOs<v(@GKX)H!#O-FEJ)WBxj2x<2Dy2Om#%*|gJ^!obdFOi
zL{DU9PQiLMkon2R&ctg5oaBnaE0uqVEtM&OTLxI+KgT^UeylfzX!^gBL&Ov@NYq;i
zoMwfOyRL_3CYnI-UAZp`?}vy+wwk{b30B~E^;+q6n=$Zz7l`>D+DSAib6Mn-u>hm)
z;r=MHG1TRze!cR&j%X-Ly?yWq3luuP*k2rH1jakMH%wLLGMJPPPl_0_z?FRkx$l1&
z0`GU4R7+PQLrmMcZ$*Ly-X7pTal*k6g5K{cm@E5_aXI7IubUz)(B1OD=IAp6aHmyx
zC<XswoHja9_?5&0tYx#4VM+$D#9Ku<a&d@}xP=xyv5y6OtmVsGGxWhLTU=qmdW=C?
ze{+Vjlm+?@dXDw+>%;SBJ<jJ^CmAxADg(L5tZ?Sf-D$Q<dO%bD?4&UDhw;IWv-K0Q
z!k>i0G1vL@!1?X|>8*cf7&QL!T8nTtc($G<S(vH|#t-R_0{_f0Bv&hTyKiHMzUTaJ
zIpuU=;MgjU)yO<UUY$GA-iZU$7UtML7tz7lDqx6fV383jaEs|cC?{l!Oxmnk(&0X7
z>QMgZ5<@dJBWcSUE-(*k6}<PI21nbzC?~V6GBRy8P&=qR(7Qd0r8k5Iz1f*Xg4s-v
zbSF;L<P$HXpXYx0S(FB~wd)37Av2uJH0*88<OfwIGiA$ADy*K<R(4om0gkNPjXtS@
z;74~a5dWwH=by?65cX{F{gc+Qr7j_06ILI6rKJP!+S4zq6tjc9s-fScun2U_ude>g
zpuokeY=7gmIYFCt?0f4zQ8;*_QFM<01yDHj4|_cqm=(TQz1AoOIi41`?9#P?yD+`!
z+eIGO#@H4>-7NvRj}Px`*3<?`i}s&pL407N9RIvPKnmvKYCfF&M21tc4ePI*5&-JO
z0{`hgY4~l^!o?IvhQ4A3+l`$<up!urB+@GbKGi$t1GbW(WVc>KTcR**+eG!N;FO1&
z)4TquQpup1vhJK#y9h`xReL-kE5hSTlkY|~$*|cz>x?Og!Ai-2FAKg(P@GDOnzkgv
zjgLoeWWN&!me21!I?9y+Sz^3?93ump)6e^ld?Z2gy__z)sw(iIze!mm8NQynX_u`k
z4ew9*E}hI*gHvf=M&z8eq5R2j1r;_KI1<mP5Kh&A*mMCWHf9R^=ImfkVwHnkN^7b&
zYC^1=D(Aaj6!>Q3u{}^(0nWNk4=09`z-+e^|L}?qsPg2kfBRSwJe_if|E=luMxgH*
zt2PbTj9#^C{!{|K>7OL!HVS;-5HLzxq(S`4IOeNjD&X?T*6dLv71R<`w5>+zptkb9
z&2@(=Sht9W=fu<C$|gVK@2q;za@=I~W1brP?6*!*Fr&k#*Xuj4S?PmLm&?ee0d=qq
z`oU+^N{7@{Ly6W~24FWd<Sb9pgsW2i7tTBDf@E6hbvd#TeA;599PF(HDpNc;AqBb+
zVn@np|7;9lXScpNah?Pkg{Afn-|9kpsAr>SqA764TgDcrkm0?`qoUQd_fod!5<GU8
z!<<Nggz|B17%m9&k+Wa>=jnZ$31v$t?<5~$(_Yh0f;05gJvt<IhbXV_W5D<Zj~L2B
z3TWIv@4Whv2G;jkFHP0}_!r)fct1sf#KjsZ+(U&oJJPM5##;f)^S6}284C2rx{~y&
zwBbTi<M3~iH85?ho#uYAwucM%XFq(?f+a>&W9SoWm>L*W^`=sQ`-ocC$r5$w5^ulQ
zBVq#@oqM_Z{j@=Yi~pAO85K}xbh&?ZvH_p8FhatQ40^gcO9!14A?u5ez#o4b@C+y)
z&e12q7?t(4?74LyRCUbd{(c)!Nl5G}_@)V#Q}@sJwTVGoc3pRkr48g66&%vrp#d3g
zp$->=1mRQ1WbPP~4LE$eHJXfS;C=navX4Ip%-oe4m3wRr+?~S)newW@;-^vk-fNlh
zH|4);W?R=d9=P4oH9{GJf4x32aC(x#+I4uD=(U2r1+L*|ZHn-N_}QE(+QzuJ*Tw!^
zuoe6%<Ppp`ClA$^9j0bjstE7q@6SpW0m@o950pmAfS$8hWQ0Z!LD^g9Ruu~nUd%py
zH%AIQS`SUp!bS)`X39_`Kfo=cUWu+Daj33(9encCB*Cdma&y&XfaHT(kLQO(!8bBT
zipcmwbUvv|0Y^*lDK;fNlNN?MgQ2N8)zgIE3?=+!hz0BjGq^Ue%nxNZx31nZn;}$R
z{;4+1GY4C~oKwx(Jn(yNVUeUULu`2AqTAbO2GDmSXiEhLB=2TJ=i+JNKj}+P3OUWd
z{Y`bM?Oj%|@r=!?9sWbCxE)rtSmWL2muxl-gG`XhyI8Sjeu}VV^fh`XnE*SlN6_E#
zB}RAGxj+B?o+J+Coyn?bH-=of(gWT%<{5juc)WJpognOQh@SYf#ye^L)Xe0T8OHk5
zGkd8g#)woOa?j&fBhb{+nK~0S#TZ$wZ2sZ?n~3B4wDHbb-i(dWZ3@*GWB7_rJQLnI
zOn9?BrC+u-gmIxSt-l0@7#q6^uiT9uBsu~vZ`QbP01l_OusY=ZV(4bM;NEZjM8UOs
zy0Mr69Nc%~*ty6qM)dJLyagV8L|Wr;Nm8sn2&`Bh-1)YR;g*wrh*#tnalH5)d2vn;
z5)aI-lkEJ$&^y9wGX1ZI7!_74*dC|{q`&IRiYMzC{dHYfBiTc+3)^Uf59<Q&u!522
znJUJKbECW-KHbEUmmJl`R~Nq0rb~PDOBkkEi^Ja7MFf!lEL|O;L)gf|ZMnr<#xK6I
z#qFY9gns6zu3Io293-fxtLxK=;LEu`oZfa4$JWIi^;@8UP%LZOi33jv$zYqe``7B_
zu2kNVHGk?o;61w`^EKg}T)R$4xQqDE`0<0XI1M(l<H*!%C2_0h)Ku_`F5(`SWw?nW
z6~60TH9qQFOBhf_%pbUP69NW>=CUVsVEt>^l_NQIME%|_gL^aGgp&5o;MxZi*vCuD
z6?@o7#I4W=ec$vDk1NV=i}Ywi?TK5?LvGCkUqRn^`lDXrSst;sLslD1uL|&N^JpQy
zy+8C|^T%Jr-oz&Y?0d+N^0r2=;=nh;L8~y6BG^xi*>p<z-y%VEg3`i^m{#JD3Ui;^
z*#UytXlZ<WLJP|5mo(3pv=f)qNeRc)h6vTtMD1|Ug5*tF&YoO93CS&PjEaB5#OZIF
zYDP0Of#qwSqFYQS(ZjbcZ<TA5xWG@bGMv<a>h4G79ckUf{=1ncpE!>bZW5Z@R*o8w
z>g-e#&D=}SRriF29hoEq_kDW5^h_PPm3LO2O8Q0QGxq(p`!+?yh#&3QC8G`>SA<WE
zoAncdYUidi_D>VlOC?-86V$+|Hm#W<JV?ZO-$_%Foh4A)e|Bs^6_nidytPG!iQS7%
zR?@70i7;IrJNaN$;5sJ#@SDwVBE%zwgCe&;>~tJXnjTSs@u<{}=Atp;q;fvTwV;2*
zCY_bXXZ%$ly={OZuQ^GWDzE3GFs%^#ddq`5$Cbe<((cx;oGF6%R4w?-p9%YUtV4{#
zm4RDfX?Z|@n%J}8epde<Gge;A&q5AmNYxJ5r2lt@c>kGdoKeDx{{sL3|NjhEcR1Bw
z9G1P;wfA=Iab27HULzxwP*f^K*@;3%QBigal^+#JOCdxl_Zuavs5F!jT1F8nvVQm9
z_j%5FKIgpWyhG4+Wq~MA#!~%mPkj5scwrd#!sH?cK@{0V<eDf$!Nqy^49`46Z1t+4
z&-b~APKMj3iXJ7Ha_60`30Po!7}4K6DZopF?6f~umY@WSI5yqrr6tDDnl){5m-&eU
zY5ErowUzL7eJyEwI15pKTUY#kj1XayYTXdfq=?xM`Dfp+VkP8`@>ICGi4f@~=XJB}
z6~Q&YVN4>}2=%t~p`)B6Lc&O}Ap3&?E_Eh*yO(niSx5YiO#Bcdc4!2mAwvPw-fVUK
z4lZIHrR~lYPDx@qc(`4~M*;C9>4Rm;yu`DL@xn1LX(Dc6a;VBl0mmcLH}ci;6Zv0`
z9u)1DCHQqXJ^gkl;OO~c`{fKFqGORh=5s}XC}%m)x}!`1-ZxfTS9*yMDoN31AKxeu
zlNxT}?&^wQ`Et5gj*mpR&1#2rCaMrq3w8Ymzbb;a@Zi;F<6;E&<6HVoPHIGtuC?My
zyb`*%W>}t|mmo^a&4OLcG>AKo(lYprl<}DQ?2eI{G?9J1NqNGROso@|Ryi-P0_Etc
z)s1Dc#Ol5^8yl0g3Cf;=k_8u4WN5xUdEG^Um^(M`@wG>n*svU%_#dH$Y@t3wrBh18
z!K|9!OE4fP@vQQ7SsJ*m>Q_=Krb0Zu+wNT5Z%Dkg>=k5rKt^(X=%@NhRU)){&qh~S
zV}kX`rq~Hj9W?s|QMT?>Cl*Ii&Qjee#J|67VpRe9cx6KO>r>VwrhBFBzU(t0PPJS#
z8k;wSYq29s_BffKDt;Dnh@cYY8ncPItQ7bd1f|B+Y7?v4*KFjnG9|VIo!jo}LPh4g
zFMn4b&?RD1|B1yknG(u*zN`PXnnB{n`|GP^^a=Oy<GI9)DRD;P#_a>qmIzwUHuUbC
z0U<)B{upaCCCKyt?c=hsfm{1nzSv$v!myR|s+yE3@yxtJUy2=|C~iHiKW<3qm6Etj
z{+SSgWWIYb+vwPJ{W3Y(%81bT$h#CCL?Lb|dRJ!sXNR$p>nksPjELijj|Hwo7!l9^
zI$wQXVUIgbx6<`!M#SMy3$rq7^a-z9ysqXs4oJ0)j|}`_NLcI3>AS7fB18;4H4f=J
zqJ)(##(TFRam#<WBt~70u-DakwL9ApNnrc2!`pzkGtzoZNlk%>f7f}AD0hU#(_fPR
za`cG8?XJD$XT*rMl8Z6-&p1L?wN}0Js18wm&P@N*OD<w`d|~TJXGa`&UEFZnQH!9i
z*?+q}=ocecO7;g|uLDML_sE_x4I)G{XLY5-C)%!r^T`tH9WZiCv?=hY8nMyum{LyD
zB8_^=C-q{DJ*ve5Zhw|jA@102>RNMx6Gx>fakC=!5ZU=itU61P=;jROl&s@NUG3wd
z^l&?<ZTDup7M3Mi7h{eF6$#_<%C29F9dvwX?-66|ksua_S)!Z_L{Zq#ZR>4Fhe94>
z*?drx`22}S$b?FQ*Q$blTMGeI+Kv2Mdj*MuH6=IGyGT$ExNFrX3}l%V*f%wB5l!T%
z8WR~Y1V-oIT_s0Dviswog;!P)=~B@n=XAxOTjqH~K+_hV+{}v$FvpnN*ctX(S_~fQ
z#fLu7Z4m6_mfli2!D!;;^|Ad$LTHXHuWqO{tmSVG@m+euIO%AuHr+@<=j(Os^~F|L
zEK>g!RP}@=-@O0q#w-$arxL5^pDn@a#h-uX@Ca?0xVpK}kA%XJgNz$SmKe3Gd6}s*
zMceSRL(hy(Le$-izrWKgz_uv8D{}fbt;tkdi(*Uyk59=h&rx$oaV@81YcJ5WeAz70
zO__LH;jDy*Ibu9IS{z1KXeKA;u*02%_ap=J`X)0>RnB&AP-eyI*efrskB~rq!27G)
z(hMG3g4?gEvE%SWnH#m8ghejGN9uto4m%cen{#o(Pcv4Lhj~BSc3$=HgDFNDJ>w_4
zx!^A9oJ_kWh74WNjx*1xu#wF6<xb~8YNczhg|#@G9kvu#?4*Jt?pU3IDIcWV*1x8Y
zi(~xSe@Y#TCfFu^NYrwGAJ(&f8_v{7pr2&LB5=tByDs{L_Z}C7WjX(w?dK)o-E22d
z;cS8jV<y{^WP~w%^xCiPd?_Se?^Is(kAn3y-;%;V!YEbODB-P?M)h)s;m&Fbwt1Z(
zzv~r2LQt8o;%6Du^7jwfM^kV)XYYtmizsw$R_F0j<d8%h5HbP<waa>va}P;q;hdW(
zE0jmiD+j%&ViXimoJK?lF~qK`(I`|>#IXzU52|L2aiyh6siIpPR6?dzV}}yn-ShE(
z)NhR7I+1{%lM?7{mwUL=QW=+Tg%&iwHbzN$=WMNl6eOdZ{hgInu;Jq7-PLc6@$|{*
zGv(W)!Smnw><^-<a1~GG%l>8zsZgQs2DfDp6H@T%k$@VW<p-|b&PBm#cg2g&0&>{p
z-p|kxR>z=!=y7W^3O1`2$`&4yho8Fifk8<P-0>ZGV||c<_rGZxzDo)S<{m3&Q_)0E
zQ`T@$2L)+cC_x2|N;tFnN~4Mn8J#8CO_fF_82VIDQz)toRgt89G6q^;@151?y=4M!
z#p6WKXJvdH{tpsb+Su{lVs^JB70EZ^2+#W}$QIrzbe5z8d*O#ij`UMe$f3G>?MYSe
zxC|bR_^yMG7U?^Oa!p~?nK|;&Uk#_9N=EV*>!RwFwdTzoW=K3R<}GKUjw>d7(#fWJ
z_@%KW#>?6q%ZtPFt&8eN33}DgU#y408Q!3LvIP{AKObBDKm&JG2$|D;Ong|BWuvks
zd_F6Dx*w#8tiG2i?Vt2;YmZNTv5FP=)$Gn|u#@4>&Ub6}h92@XXTCnuv_^_w<+Z#t
zGI-Xxeb=Ju!CZFWewdC8`V;q>*-w+<p{&*N-w|DeYr9@<V(NpF?BVm>Hd=5qnl&0Y
zrGr1me{OyuK|}U>*}9k@Ex0eV_i_hnBeC_xm-=ZMG@cD7n(Whpx80$cQeG`M_i61U
zZ3TRmN&d5*S{VATV^u(kCcX_mO>?{h9Ac>aDJ5w^^Hddg>3}+XU1CE`e*rU3=jilG
zGSV$qM?6<kgT3^PxpoygGQ2y6o-z3=%3SxXaF+^}1vcWW9UZK{bE1^fH9<Z*5)pny
z2?rVV51zWyapl=Vf%y&%s2Cg=H5!peTgaR9dh6&o*0l9=#+*7dckrtHz9oYN?e%ma
zYdZ1=lir4t)bX><&xuwc2`f&02`)K0_}VUy`YNkIzxuu9+P`A>z^C@?>m)FjTJniq
zQx)YIk0wrLh~ip--RIo<fcK6*&0ew!!tX`zVF?pP^n~&DU-7_@z+R4NZDo*XS!{GO
z0c@y#vX`I&)&JO@&KfGAsmL!!U7wf9!@?=^cQnY~V<_?^D&Xz{MSO1!7y6slDSfb_
zVR(yA+p!yR$aUX2lEC1A!QKl-o&VWFQKB#)<);k9x!h*G?AZ|~wP+zYZv(4QmtOih
zY4q-JT!^EvfjfzJJ2u+jqLb|`Z-*qzBn4fvkFlb<uR7^Yl{EyqthxO6NI<pB-T1jC
zE6ViN-u4x;#;PYn9~6|u(d*e57%0vPCBCi_QiK(<<-m1xfrLvd1HW$Bv0~tC?UAsT
zmMHg`a@qP@6iq$5Zfjg)#fc#?`;VrU$a;5eL_ts#xx0>+T(x3@eWYbY-6ab|d8h;~
zJBUDW;9;%NKQ>hF9DL`%ZviQLw>wMcg>h5qC}p{y9cj%xMs<niQ1dMqX6F&c-{iQ*
z9wQuR?>QN5@yiV1A+4JSHHEOw`sI!&E-oDK_>?gfYzDoychQtcLD;Nn4Lst^jk;0B
zx#h2>c<Iw#@p4=M_BW2a553BR>}}5vr3RT|&%e(48+iio;@I=7Q=SjA7uyD}|D?jo
z^l{9`FabOcIT7@(iXQ?$)!(0tqk`{JYCj`F0BSEL-_v&q;<^X>p*=iQgdK5RHCZTt
zb6-lIOGybM@2!Z-j*BLc4)W==pAkS**{-L#f+BFs%}b~;H-Yy_!K!}doK>Z3qY}kM
z(f_&j(2e&L^vL!XDM<-|d;h8EH+m#2|J3r%I!u9^t-<c<FG4snML0J2h~d4Bj76O`
z1#uIxTW!OI5yhE%YtuP#{N_KSa)znfRPn7_)-MR7$)B9sGbVwxRL6_C=ZxWMx+}xH
zNCbQXpZ&IaNg;UDGS6wVF^JxXUTaTLNd2*mUg?p>bRnVZq-qSUz#ZjP@+8nQUqsY|
z%i`RV=t~ZNj4-v$-C}-`gzF9}+185k;9Pn=$MxC>;l2FV6Ml)I_uk*#Vq*#rdHeok
z<O3tz)zW5MTo7mGkrVs$0+o>4G%u8J+X(!Ut$hu$k~sXN!T-Z<WpHY(>M~>EY&pWe
zNgh(5SsFdh+oysf_q%0!nEU);+;o3@Q5u69cbbkJS4DSWHR<d-Bh&|Wbe64>#c}lj
zFOM=cJn)b@)y~eG|HPAhzVUL{;@<0^@<JWd=NS=w_QuGUmtH5$t$<S3y32bPG+?vs
zWTkGtF}~mV-cxWx5h6z>vSzi(80jj?BP|&tE_H?{^^OweWaHKq`Dh_|b-YnW90fs|
zIm44Dl~Gt$x+OeG8~Z2I`n?61d7wDcIUrUADcAN%C0@{haD_!wXuSzGkyJXK?ovhO
z1(lY$OS-s!t*gvFfeOu?Z42@1)o|x6^)NkC5B<899Vr`4@j`ZKf1ss0xI$NaL_GD;
z?tWU9wAu_tQTDPEiW;aa_|x6?Qy)E^37S7$&G9$P>iHz|JT9dNvwJrhz;N#iPSQ>b
zfd1TPx=j<L1In9d$p*~z4@5&#EU`t)Z;ehW8S;5K)~bO9h!q;PcwS+Ji-Ip%Ysp%0
zm2!)V=P&@@tJxir{nmJNG+wf~f~oT(pH@nJ^bw+c$=08PnKQGBqlUz_ar;v0t4TjS
zeAE8jw@I0XmcDDbX5QNPaI-=0tFkU`>c3NL5d-#I9pz}>rwyglgumNMw2`k_``@ul
zph<eaShb%vj_EnJSWS>Y=g3ok%k+!)@iKaD8rmqA3-kEEr-{DiClg+dbf^uP9k6TC
zg6c=pF-IYF9LryLv@3;<0I7wGXHB&rc6a6&okJBx>u<Et@6aKf!{FI}oQyR+R?#kt
zN|0$#IUw3hM?qK}pUgc?oaB6_<io~%7co^w8<{vO*Wrb<b`6YJY&E}1m%*{!J|jI<
zbbM-vY@@ZQBRoFFB=@NVie<kk`<|qu#iPjkcbyu>&U!Kw3rU!|;45CTosJXbh2K02
zRpC}7eaq~*F!*DMOhKmK)vyN#G7?nqn0>f3tezj~g4>msJ_1IWX-VX*%Bb<Q?AAHW
zjniMB9>1IeoP1Fc{KHlWc9EORGUPcBJ|a>*X$5TEQ6YV5BeR!3`(U)PffZVOmg~(s
zX!x2HoPE+>4uL#Rx^$ITFch<%swhK)t>4{kH{4|Kly6dS-_#;)o3)+Hz#d!FM{Vof
ze?SWQ3);dBXaCV$|MoZ7Roh_Ay4kYeM-p(ZY!yl6ou{>3mJF?6u|ZGO=3@d{;$WG&
z_fODlj%K%~K|s&l8l`#n?S<<}c)CwS-fj6W&FSJuW@3pIo(gX+i3t(K*}u;_T%6}<
z537tWXv|r{SM#j&Bbo?$59KdyVwtC1{`1u%eS;-BB`hoFOob808pX3L_K&uicOiS^
zjs=!|kC}Wg62$S(vC)IE3$!&JcPF<ATcGt_?a*m{0sLDxa5YYTiME#2SV%O+9B$1a
zq_KN^7){aG^mTEW7I)&tPoYm{@R=%be1Cx#ck0E-?I&2!l$t5OYn>VL53K~c-Q|JF
z_jBXP*H__@xLvpKV^f?m63*JV#Er*QOWrnvtoSK))lkjc6#w$u_D~LT<IS;v$Kg8c
zC@bn!EUTu%J??a<zY;fYXt6iwWpm)|p{M7rP^h@y;bw7jh6`CTx=Q*STo{_@?$%@K
z!#iosRWegth-|!TdpVaIz4H~$Tj?gaa+W(@LW~=VX`_RxHoRySh#{Q2D0uOEpnubL
zZj7c4ch#}*Bic*bUS<~s;Xm(se|^r42VsB0%7+A?kqEoRd1I`!U7)D$;z7&Hmb!Dp
zLLfOMyi#NOg0&-=|B(zY+><BN)!9Vwv^z)SjfF90UMR@j{mTol-AZo5nxg2rF3_-L
z*a&4jp)G6X`4DD%=!N)B66{yveu<nmLTT8_1{oy*xD}q)+g>RKYmpG!z|}^0a*LyB
zGE5NFT%)PmB_)vd+_=4$)d&WL<f7hBLfAlFK2dv45^3JztxGM2%zyr|BCAmtE#_L(
zX=7<L<+BJSoi)U!;`yTNVi9=c3e=>I$)GHky<0Wd5RCm(KGXtHoQaZ8tYR?3O7Fym
zE@wmBYH>96xIu!r)CKm)Y6T=vJhM_LhKMx2u=Q@27!EBK@)`Im;r#=y&>(F?9EIwT
zl%NE}iVXKVB`Pz0R3fZd-w^jcNQN8kmc*NXSF`VxGXJaIHhoq*LvY&ry^4P$g`vzn
zSDHSmqVdbYfSTQgkl$5oYqLWJZ{*zVHI>xyDkSV+`hSL?hyOSo#43kge&2}S5gM?f
z1hcw+F~os<ufju(@~{;8@oitLCY)qA1fDw>;Z10tW%wCI$mTCeO{i;O&M|@QdxH^v
zD%X2kHY(wbVzutoW7^ntf?LVQ%^31N*G?`xRL0+vkGZdZ)Irj?v1jRDV?5N5pS{_v
zf~zslA|7byVQkB{l|PLXlvoy9ed$s~?xBN=J^)cbuD`zeFn*nQb+W_+GcA($O9s@y
z+GPH<Gs*yhLn)2nSExu0O_0}}P=|hSOmdZhA=36|G<!2lvCl!`faI(O9!IQwzB|(p
zc8YBq{AbOe*qmDL{!0^t-UxROlUI_#r>ZZu7Rb^QU1u~vMpyH6e@UMq?6YjgYcE*B
zs_n<<^%^aB`6o=-wi@DFNI{zRvK82b{W;?HY9o9pIm+v}Ap#;E?Y0iE0kvkl<Oqij
z3Udy{IEXWO&8sQxX|lzW$T1h$13I`6uOq@Ut`BG5lbovDz#GZme6h7UsJs$%uG~`(
z=UEeFql<y`=PSMcp6Wn+?{DQ(dv%bOWZ*DLreo$^nAXWFI*9&}Tl2$33uz@!Y#R#b
zh^$$A^z~XD#3{VW)%vS}-3wb}RA=dMIJ01G+@g&?=W9Y!($&zDxbH$L#SUZjB0sx?
zv=LG!d+M^73VKRcT2g%MaM<-jo)5E^T9280SKOqCmSXAClm2$NeRw>tl9@kp%AZu2
zJ&-|rkO_aDw;ejte5TKGYa;O3$1g7<B(TQmuphgr9m=?Be&}~IbAl!7cL8Qki5s2T
z?7(V=Glpe-57N|78!OaVpe2a;@Q0k)3_9da&sS?&Fni4@u9+NdZZu}>^W}?V;$F7R
z@4hKRU;J6Klmr_F^Tdx<OVcs8zhN+<KnVewr_8yZF45jzAd9I!1eD8D<YR9sz>P;^
zzHH?WEol57`OFr8CZbU0Xe9>^g@Ad(nqM^KDz?JQKWJe1N%{JYN#nMvxkpp@IIUPw
z$UIk#28TNoIqgT12zXFGxbfZ>T1tkqIoa11-0%LVm)#Rb%QmAUToXeygdk}u&jwMc
zPt}jUC!sZEe{A)kL7FUI55e`?8bhH01KU+a;bgLJFyVPWtxaynu$GuLny38-R`P{$
zLf3E8Pv-$za+Z)u$7U;7MVMCq4G@I##6_bH`X^e3^u&NpsU@bi_lI<U=R?%a=N6VC
z!?Xt<g%Sg2ETADZuDM*xgPn~@ZXw~HY4$ql>PMU`FyU>yJE@fmqWp>)LFV6R`46@w
zg<UqsyzrL`qH>&gD|CA4&6Y7*TF7rlv1Kz%4*vMKvz#3=ZjlpG%|B>GpH7W!_cOyl
z)U!zSXg0ilt25zrcZ!xz-dSh#%oM)g?j+krvEph_9X0&FX_}O9=unigDQ+*W=IFSz
z3bWl^9Ty5_X|IAKKJb=M(H3ZJYVwZ-H*JfOr|$frNl7%Rd=aN2q_@$>{4fjbNC_n$
z-_OzR?f2-I$~HmeO{?iCG7Ee|){%Op7ih6!F&#?0CgAAIa4DZ$q3xkZ=B+=lL@T(Y
z>kyVffk@qlj-;0>G?Ci1!C~VoG}ae3%`XHg$T}S5)G@O{Tg84wC565U^F7{Yotge3
zksbN6Pm2ZR)P0-UF0q2(=~NkH_KN_=w8s2c7CbKZ@Lok?N5J|GX+<?gXq#<g-#*L&
zhb`5-UyC^4LRr?yb1}kITie#x!K)zXY9th9&xOOLCIth-hFEs9o1PG0h1Ksf{sbov
znzbE{7bF|vSD)n3$rr4Uc=Pqs>TzBOsVuV2s2E~z{g>s4+iYl%W8t|l%a2og-c4HM
z8ldLpKA!bA*^we|aw$ba2x8W^YpW;pF|H-Be6NKAw!1s)QksNO%<(v6X1zY%j<lvp
zvvc9?*1l)jyrPi4m9_k!Q4c#eyj{`_;KqhWw=eGqBjHQZ!J9J{dU#_gVmkVr2iG%;
z?r$3x!=p=YG-{f3ar>lJ!LeLE)S4%~3`~~*Yp8Ce(-vKLm^J?h4i-T1wM|`(&QdtL
zh1^eN)kWX87i+CTgz)$C;`OsSGAOlKHeK^j2a)H;eFi&)afsMxHcOF1j?1Trk_;VC
zFR$SXT@u0EaOLePe+BT22~OXR(1G6O^QETFBv{?@C{*08gdV?_9(1Pu34cw`thytH
z2Ib+C_Lr2A8qG6vAzcTjSXJ*+jU{kRy~=0HZxy_I^{#O@Q#V;877on5mIRUW;l|t!
zHPn6N&umfG#iOswANq5pA@jw*j%Pp}v06V?)>r5vai5a&(P&w0U6Jy<6t0PuDktxy
zJ$g7-dtziFS|0ySiOM(dX`##MeVnWZ^PWHIG{od7LX?-^U9?6UDCO}|jWIwb?_Lv^
zQ6*+iy6fHLr;BJ+mXEYBLrk91JLW8|0v|M9*~F`lNY^(k@-!p3m+Z8ta#Mu>7r`re
z%>eH|+P-~4HO5Get^3U^HRv`@->T0u#M<T7O(h#BD4RU`E%c>2vJSL;8)o`3^+jcv
z^jQ-m`A&0_B{Xp(zSP6F*9g5ENMwz9D&~GS9bWMwqc}WVV$jtXy0k80KG_UM2Fgi1
zC$zBkRo9KBQ^pu8_RK0#w}8i5*+-G3+R%``kkNR>7;`<554r~};pnU&)ljMfk%CK2
zzKO>0a;F{YylRaT7czTgl5|0tyRs-NVT{Wgo*7hy+M>A3({x^24>P1MbEF6(EG+I&
zW73UVwR(2PFY6&^cbG+2nj!vh%zQTd1e|%X@w<1g9u_lPjvKtxhnk=#d(s6u$cC4d
zm%8=9$(wonmcA}V&D<%E%<Q1}Z?$P;svagC%5#3uwQy}@^R(POroX&$+VA^U7a}a&
z|9UkvAP_Bb_`HZcHYK!nNNDSVQ&foY;hzd}HU^86UF@N({&^-uRR@kU-`&${6tQ%*
zhEcc89{1t}gjC11kRY1)Lgt|~{2uDdjcl+-dU(3mz6>&0MmxKGO~ml$PvN%{TK13%
zbJehC_CQVdtZ<F}f^dB1TJAV%hljRA>h)N4OprUu_ttZue}YuZl5dCD+V@E|y{hP8
zm#ue6TcpX&+}wB2#12O^SHEg9R{>QbNg`WmiWYiqMPRX&4(F$|l%66bw2vm7tXlh?
zR&zQx*xH+pCD*o#C*&1S`F*43mykz{eD?BK%VB13C02XMDa*o?@663B34@G#ADabT
z!+?o$LCrU7rC@nzLr3)4?~K0oEgu|y(h$EfUcB?VI7V!bWLMPuWISQ_7$4`NVc_TR
zBM~YI@9tS8UtIr-F?l6+tCXfKx`Qi^t;`6cONhq4X4f?1Fvr4%S~nYT-jhxzbujhe
z+rx|UPo^1BYv0XM<E-&7ZPrCbgctcD2X0henr6)ZkgmO7ZiR?fg?!|DocLX$+(}4H
zGwcWdyd{6L1o!8L1oc`rWH-C#+;{uM@chIx>_WCg=yX?>3HK@l+hx`Vcup}+#~KK}
zjIe-hL+Ti(#}dtX;ibizq@N7F8-4vDkId0H>ew!?GEeJk4U+Q51mne@H=NDF=5TJ!
ze|2;JZ`!f&d)wn!#u%=n{a4b0&5$dZrM_q}O>-OcGt=w-#^99voUo7ScLw?2s$ahR
zNozk+zbCli3&V4GVu`A4imuncihhoc(sn**v-D~oVem%O2mN=N3blULb7N&+Xh~*v
z9&)V1jPk`d`-7KEpwvif<oP{B(~qNYT;2VNVdWKHyEohfL$9Wdj;8d}Bz0QTbSC;4
zzsI5{4i8Z<rMfxBfAJkHHuF#Kr9B@R74f`IQJX3F9{>RV{|uLRJXL=j#_c_>z1KCa
zJ+HkUMX9I|717X85~U=HiWHHblvFfSl4OLk>KsCpQC5_!?3px>_}zcc>%3m)J3i<A
zyq_wTi2vyHR$H6Gw+m@zT?BWuK(R`@Av~RiGdYx-Z2h!EtA>0&5u&p7PA9e)B6lK*
zdSap0wluFjBdWcf2nyI)<M7D<L524Zv{aI|&U|;@sHV0NUY<Q1VcrJFdOV;mll#Ip
zdevQ<Lm91vPm5dApJ9CruQlHOYInBn*@*S=V&7YcIH^aznZf#4s!PaLUYBf}8D5!b
zd8UQ9EOy1`2&+C?^1j*|vR)u|Th@(uuW2D79b&&9)7At0UsS$&oI%uF?bAN%*g|}M
zKG8I|RTt4p#fw6{xrDIOc3;zTEre35eJppZ4y=Fk*V%{{6N3-3?Fy$`2wh{p@lrw?
zAv?M=|LiX#GNwx&R429)RWh@tAO32AZ(>Ah-x-3~`TAvfzi%6{|LS)cb!#oCJe6U#
zGp{1vwjHKu__q^hR@Yv?6Qzmkhu%Dn%dIAC`u&9WW_A!Fm0Ytz%^EmPIe1T0<1G>9
z>NCMD(MeboRafp-(7<Q$^|lqy>xtp$CEnFU7ooW|f9S|@bu?xP8;)&hAmUxq2dD0T
zAsm#f<7Ap>a9431E0=60CRmE8kE*^B3i>6c8?<TIb~WWx8tX?wQMSDIn{XfDzGb?9
z;EEdFs)o*&Tx%h=lzS!F`SlZ*+yz$ZeyQT4=hgil_HBf2LdyHV!2zNtv+2>$E>-ZZ
zdNgJ)(Lro0ntV7CH%N?`>J?Exs34a1JL8&gC(#_#$Z>DyFtI1#Kc>U0RUrBB^Mx$S
z&xGR}3jxUkqeQpi`Wty=$~ee>AbMSDH!<ME$?cmtPGr@DaP}B0qao&sSD9`v!Mra+
z*F<@WhznU?HC{wTCU1=LFiSsSzc!6N|80g)IVzLXU`oZocRP=TT^%4=0;dDVPR<ev
z>x^g-ua)3cz4@)-`axn{>Z|R(v^j$KThPAjs025~F|(_>!$f4O^N~KbU&P@I%Y$y8
z6k+Tk+m>uUO0X;(E8i~mhj{#R%HrZdMeJ)4b}CI8C(iYJm*3{IK+K$vX7XB5z*+6#
zNom<B!fAa@7t8Qp!nM@)LyeIFk~;*aL&s-`boaKcdWFlxb5*L&-5`1FyDlS7J3mX%
zQ~&an4l|LRJhkd>FXS-3#J2B;*&K0(t$BUw9TxIHfy&K5b~((QYc4jH|3!GUJ{ah_
zz(&$IDgvJR$in{HSPF;fA0nk^?o|4H4pM(2E_<d*24uA#6MO6e@nH8Z?u&o8$g~Vc
z-#tb$Fxh+G$WMBS_;&Z+y0;0uq=yd|^>~3as^8hS^8Q#R>~1`INc9&Wo!|ADe7BLt
z0hW`8Uh^`O>nr|i3VTl>m)g9}QF^3cwpibJzMh3FBMoleiWeq%ifcWtCrLqPx${)_
z3pTR$N%<}M8By|wuB7R}4k@%u^B=9~<REt$7z{Ms7box9+H)z|OW}mZ$5m(O++=N4
zp0LV_Bso>^@xneQDNwWBn);e~$!)7TmiTVTkaq*34-bb+A^qN@1b2Y|nLB(&%;%&$
z`N2ghMdPy+BJY0apwCc9q2GC{J~t|oQboJc9fG96Vy@}EHBXql@p<57$^|O9ji|dt
zT_=Ng51y>7PZK4>{5J)h-K#=Uia5T#Ix35_i`FMROU21!&l7RlUya<)T%&VnK@NVd
zQFB+hrAU9FB!2H(>SS!QM=#3{1=RDuT#8GSA+Z#B@W_lN`BHs|hs8_@tM_Szi8;%Y
zOP)C&`}gaR%o|+|%xkD<AKCEW$bCg}BfCJk+@c=YIeX-U#WNK&Su`#GFr|_?V;-TW
zHW`q8KZk~_|EXcr+hu>~s505WEqHCu14DB4b|QXHl?Ha-uI~Mor%I|xzqad}HX?Ui
znAf|+rGwVX&B|7>H1a{l(=*Dd#$<nxt(V7PeK@>Yj$9j{L1z6Ja6M#VLN0o=PWaw7
z#G~j;UvpP2GW?sv8+VE+DWNr_a7WM>Z!Yq=T+q@XDKj_UHr+8L&w8s{300Y5*6qRJ
zA7i?tk&ppbTB9l1y4&*aiANTYXU~=9u+b+C?ME)>#F>)z;LeD9WR1zM&e~BU`ea3`
zVB<)g2}!;x_Rn<#Dhl-Z`1}mWq47Blp(tb0sHQ(UpvDd?8o4zxFAd1c5oyapuZ>9K
z+si=%;;S+DyyV-zMg!7F<L=tYSOe0@<=4%2Q+xEf>=SsBWk42X$Clk-)+HxShwN6A
zaX{+_#WeRd2ISRXwx`aQ)Jfl)t!1Z696;$ddYAJ=pX~ed#CqyGmAsQ}@HLu$4KklD
zPH`6Kkxfoz=1MFwq>rF>)kC>8a5kLXvG0WrS)xKVPY+SZnfY8-%B%zKWNJ#goYW$x
zlk*-mMy(LU8uuFUWC!rca|?ar(jb{8R|OwBb)Wc5s~%oQaX|auhOkGGYGe(y|DwIv
zf^E#E9q;>(+aro|Ym(`-GHDtv5b&^;10fxIdvCp8jU(}o_XqA(A{SN_8t^<3Kq#~G
zPg%Lu5Kd$t82u_oUM=?Pjesz$w|><46u1hd+xa_B=t_~1Ov+zUTt!j;NZwVu&JNV2
zr+HCtMadQcg2T614ATE<Q{JiDVXSRjU^<^dCI;n+&L)bZC%j^Tk_;SbVv@`5<|f&s
z6sfz}B%q@@UL42?sQfTK!@<N#9{01W4%L%D+s~1RU|w4oQ2G~Et}GB@MZ=;W)g{nc
z%YL#>+6Lo49Ia?MlLUNH&TnItz=o)@LkBIbk*Rs=iaGN~;+#)K)t^Rj#HhXrtn{~n
z{ITJ0IvTCE+nPB?EU$@!EhUG=KHCygY|1_fwPUtQ(_S*ae8f>G?Oz)G%L2Dpqn<uh
z`Dq&*%o$om7e|wfj?Zc*3k3B~b<wjHZEu)z<X@5&M+!AFAn2Jn-dU_X+O?Vq)YHw*
zZ6e|bT*W=2Eolztu=^YSPOxD73sa(ovN#q;o}GSs*$l!eQ^Bm;*)h~<xz~QZIJPwe
zUo7D?1MkUaD)rYm@hfUxcte~xeA!OlO}}gkq0WY%jal6Im!(kr>zg<zoqP8fOPJ!h
zu4#R3IxqI0O%Ko6DuI97*A#eVn?P%k+?Nr~kE}RfyE{XSbN+MhB8P(sb`<rqC$AGk
zp{-xehXhI7R!}^)dc+uB{$}-j7b#E+F>Ke|EQM1o)whk4jFEh>CHv9=A*^OeHwxF5
zM&tuyAJNsuFe3{desvUv$lBJOr>HW>o?^1n{71*(*$9=rIwI)XIxkplAPdo|a#|Zf
z$Mlc(I(-RI^i}1gec3JtN$vN4&R(YDFPU&zf=dj!4q=eGC69^5fN%M`=wLFg%y`Bu
zj;w3P%^u7u;9`Dx|4&;w3d62Utz(zKyMFPXxp|7Xs($wMlm;DEBa-#3qLK)@CnYu&
zqy!B)j>7c{bgWdy80PCrVXNS|3->Ik2o68E{;eV%zdO5BzPd{zE}<^#j({?*kshw<
zdUP!0tLVLtmBBUF)RLp4%GmP7E!lJf9k&Dbx$b)>3-k0_2b|ujU@!q(uTRjCvog8K
zR6-tY-j_T6WvRkwbCdJwJjT8_tPA%9DxiCtS=Dfy8m@h2;Z<6oBRXIrrru8x62_Y(
zXAjb#)LW@$?PiQ!k^x)`a!Sbf=;(iWl{zY&&JxD2jd7sez*L|^3D<Trv1C&;u=R#0
zKi$FvKV#Up#V1m+=lO=fW`@scI_<kH^40{G*4UP2IVz*4MKDu7ToawT2On?RYYK~l
z`dinpD8o8(W^E|H7G&4$Zuw3z!$4ll1Ydy)N{!d;dU#F?sk%3tPro-qwXD0Nqn9cq
z6y@qJwP+zdKUsV{$sFgG!U);FsxUr#o7bP=qlKX#hi~q-K)+~&$b|$oEFU);v6$Ba
zRn2_H)6^2@7ROnS2+~lMu<cA=jTUGU>?t9FR&ZS#@TcVr4Nn~Q#b4Z`g{#>EGVg}0
zP;ibnt*4y^`NV>h-bPInYMg#JQEUy5ru0mHF?Hy<s>V8UYhumirL67YHjqypwsSF8
zM|}9wmO%*(?3X=LRA69>tgBnRbnVn}@Q~=*OUpC_S*N#+wb`O9?bbwxmO2blDG~8+
z)X;9!di#w&5EA|-$6|qozRX&K(??YCN6K7n{~>_+hSEO%Y#IhGOp?zyRnXsZjX0bF
z2!t(vue7D%ssd9>!wo9*5_%u`6ai!Qe%@gfY9M<}6Zg=RAky&7-n<&<E?<hCrmEp<
z|Macq(+aqEP>XV)7HGYt7qcNm6%>n%n)bJ{*!FYuVO}}V88!AtpiBh?9MARdT1vxZ
zF*s295x~*wJJL6+jINKT&us0NfE8b)GkY{Zdnq0msH6<)$@!=VLJYtB)<hI-2e^)Z
z)8FVs#r41c!Z<&RV5m9#RVodbD=&2VazY7w8wQ@<HWWs=>4!w+9$TzAP?)cIUlH&3
zmGk_pqu@|&M1A`nTip2jaAfAb0(QA>3=cOE#6905D-U~Z5I?U>S_#VIz@?+q6(@d}
z-_M`O_OJmyRrP6Kk%cq+<cHZtURb}bnk=igh94j2?HMH*L{<+JjOX(p_O<M3Ukhv8
ze71D%UxO4JC3gN$nc_yQx%2psCswdrvNTgqk_7$ry@=^k+>p6)MkYea3W)<NTb>0<
zpu%j<`0qw;3>^7tH5zM)>g78f>ko<}&p;;T?p|)BK3<nQ{?`H`|DKGvMTmjruCLbb
zLT>Pn|GX(1WP!M3eeRlEQLtS*!12q32PtnKj4lkDV~20hqQ{~L^!rcN9UtYv=mYwp
zv0dg^c^opExJv|iOtOu-)x7v*J4Rd8V+QjYfzg&eVPt)unk}s512y8=*ruIkD6*jp
z9S#$QH<h>0XNn&)Wj?H12Tjpw_tpNMwlMUUc5Ph6I8VXu!RQ+SrZ|<OAfEeM2v3hL
z%JOZdpx5Zi*rvZGkfumJ{rX7=5qy;g#l?icTf?!3NH9TRN%DpB&5ZYj^`}(Fh2T0D
z_mQS*0$pZm4bxX4FtLh8dNeaQy<=B$bEPqO3q!0wtOzl3;pn>W)gp*5&yr%@YYgSk
zagPX7VbnWXs`<PZg%A;cOq|ac-t`CCbEAYIw~5}P{7noC$#*LDm(j6Gded#0L1FBe
z&K7UulK`K)YNA&l9kpM5LXx+MU{B-2T=sR6c<}Fmho2T5J0fb9{`84J@==_fW2zLA
z;|%We&lsU@$LUauGony<aN>-_Uuh(A3~v5hW`y4@TA#M+h{1O3)b9p{H`mSiJv^Lf
zgp&Rf32w7u2+Vt_@ZXXg)=lLv9}6%-ZVtbPLA^MpGd4=v-&R0?oXW-=cO#HFJo!^a
z5-?f&C#p145f@L3jE^`PVZ__=-|-?z@Yl}<%ET(+gQeVaHpX-PiAklKZ>4bkpeP}D
zoQgw+JM?DUjBurtKY@K(8b5QxO)l?OMyR>9{~gA6n_^GiHlWGE=TXH0#hog6+9aSV
zm|_HqVv@JZF*!8G7~?yGqaDN`r*)GNw!6m<**D1}PI$xeEl)M<IbwZIN`j6N0W-5V
zvWiHp-(O_7jls)7rh&+#bY!#QFK?G3l9<nr>AR?7^UU|lYCUv3wFo?2a!U!4Pu6ca
zYNvs-tz0q*-o{86^XoR*Ma8iA4q>_qga6;YSB}gWqltg9;2upG8$A11G=FNMo-hdE
zx^9Bei^hpBrj_x!{^qZQr&`b`<mOxJWD2C~2=zW!!JD2<+|Ksei1PUU_n@d5qS+_1
zHIFj-dR=3gZHYFr|BY&2oiIa9F^ikGni>p6Kjj27>p+h8+EeXjb6n(_;#g@?gD6kA
zXtcBr>ecREnku&d?emLg!3Su#$k{5sw5*LE8qe52J+p+D%>bk)X*iYt<Z}5_ZFtog
zUEg%i3PnO}&d0W^L&1(sZHt07+Pe})*Iu#4R*S=<4ms*5&RRa?=Bb6EMUmY>$81os
zr*2bwzd9cKS#ccMsR<3){E4u&w%{lI)0pPfp<-C96J?}<RYGIS25f-)-ozaLDRnpr
z2XX~}rJ-}uyuo`LAk<M9nOe!nmrd+n>h`I@;zzoE@EzcINIv_o<LbD3^Pw<0RN(ii
zIFHs2FttBO`^=?|@8zZ+_05%WE?8i9)nDM_tSfh9Bn?cb$`yX5Dlz^a$8dRJJNWL5
zbM5@1hK(OI?Cvisfc*s9mJCTdq*=GG4^dKsiopAUr7>B^-n{!nn_>q|o#^xKTU7B(
zcQw~d7HM?;xvctkfw4|~>5{xq6$DEecy_u;fWs;3Lc%A&qjYOl<5gumb9UNUJtPXI
zLoyYYvVo#yddSyIDz>@H`RTtB#@O#SMA~siUeJ%tHJ2zMy)gPIe>Vjo<;=ZD7~|j~
ze234bK@k;1eBY}m0o+)%%px*o3*X8dmuGbfaAlQY4e8`Xl0t4rhNmsI6`mJ)!YL0w
zJB`J=x!e$X;I^<*V*`zw61#qHmqqDj|G2UxPJGz9S8TP84Yq2pnKyhRjik_>yDUpM
zkRIZcqI1<6Z&aFHmDWh%mcqYE>kf9@t5M6)|7`{TEtBaLgA!1%2#n`(VuvTS=wyhe
z71G}g2W-A44pDX2U*Ur6Nc)%HG)Y)u-h!@p^^_PcjrIR$C&7-gcm<11G)pYS^7@qp
ziK2FQ5i5@uJB(8w59%jbAV+kuKmCFTy7T+L-e_fqkngv(?91k;=GZg(=A|&Y);ko{
zhH;=F#r*~Ch&lM4MC*lf2;;{>L~ry4PK5GI75Dd>L99=2aw13wA7uQ_*Vu7khn$#Q
z&~`Jhd^vD}_M3uNkHlXDcyc4gGf{}E-4vh74j(nXPJvW^6sK)65B5ga$#rcp#hOz|
zh4Ri6+~;-aBFA~L<3Q$7p)M1|A9=m>OO^uNt{oK`yZGUAY5r30ZWC-Nqj&VMQgE!_
z>d?A50caQ5Iv;0nV9{*)wJ<XUD*Kqen!8dU-M+t-?YuEcFRAwrics*tM8eI)LJ0N~
zL*L&^86&C4^K7*x1%2(|4>TE`P%S)D#`}_v@Ae-ZZ9*w9{5oIJV8O`A;O2h<o^+IE
zb7m|tyn#Jmab$XnC?rG@Uud$@!DIJF=B<tp^v%xR2stMPg&&jGi04Mg=e6TFmnj5E
zo`rVTO2)m}_g%C+XoPF^5hgSvVayD^Y&$9@iN=f=R~ecSEZ#URG_(qX##!fH93h2O
zEwR+eNke2m?pH{?B!VLxc7a3xq;aUlM8>(?5NRQ&gezP`aVBu9+5Kb&rvr9Ye!psn
z0q@e<U_CKh3o0LWf;{F%-L&o;H$>CAxu8WQaU8xM8@$Y{h!3M-jRw07@lfzId0s;T
zi`5p@x-*Kn&mxkSzTFUoRkFd_Yb3Grj?&2uBTCS#3w<-{V~DnfK;HS2Qs9?pzn(Hi
zMdvC@5uIa(xR!S(yyUesZq@dCP5)HJ?>$x<uU#|5(WRLOEYh;5mkXXO<z(=6vVNoM
zTSH7=nNF9EmBZsN?-kn>)R6Dq&za6^1dVjXUp+huc(}L}eA<GB4_}$w?(Z?eo%07p
zyEZC9Yqm1UVhh8UpYlo{Z#2TOKgLM~3QCyd$j$8X)4+?2dnZ?%=y2z==!*NTgdDm3
zbgy7ds2=|OaH5}%);438l#f(g%Iv9I2+)F-fAdUKyfH5Ro-e(ftBi3+<wIt!+K|!{
zj!ktkf#BLiv$;4G9MBZWV3pEA&ad(kA0<<Chj)ua`>H}%d?9V5Ob0(V9+-3CHiPGt
z`nGzy8n^=;FM8|iLJl#OQY_{$Puk_zzo>@FJ9DD?$8=HUpeJ~O%L1QDq>}Fz(D1iK
zv}^8^E=FI7-LR0fgzK2*o&v@`=f6gB$FI^w*hWg~E^RC94_<Mu?Nvv=xD981oepL`
zaK<ayT4QtA-7{4iHNZu22-?G|gP?>{O7!(MaEz!h{GG0Wf!jg_j(pm9Tq3kdl93l|
zp=-rF-f3X7xg&3DvnB@ZYTlPh0QL{1)$%@S;NAAFT^imRm~{ECw={ym+l5zMAD(M~
zBh)pn^A!zu&N-hD?*P<&d;+opG(exfvD4w7DsonLw$91ep+@QQ+&WebeBpUIHAhnc
zX{HyaxycTFqh$8b33co>OZ6*RPX&8vc(hBP9exP=CuY~t(3@x%J$_UX*1J=qU!JzZ
zrket8H&@iKJvJw6uZtY`Yj1sa4z&Ycm}Hz2V{RN@wH{@fl|qHnH~mY#cCb&kdQq;e
zin`vE<YOPjG2`apY63g_M>DTk)>gsKgGaX;{u9A(#REe-7`b!m5w%fVRT;Jm!MZVF
zLa^Ph=qAM2*O2klc|wW`yEHf5?i&J_8vj%0mCWcV>}&lu2r405=tS$Oeuh7DC$uT9
z2d>PY^S;cj2wRVvf3Cdegn0v*t~zgvahF#q=NLUYW;=_ECWGhRms|6;xZ7fP@SAZ%
z16lZ%NX4>mWyN(vMb&k=Hu$e;;KIJW(qQ2)Z%OZA#)n~HV_tR}Y;=G3(1GD~OGlG<
zB-)wqQvUG?OD}7fQ=B?@lqGOZHL_t;n+eZq^z0R%TVeO?Wq<MKV(5(=c~$s)#Ww9l
zj!6-Z74FxbY!TTbicQJeL^IM?Y$cOpOpEqe;uGIYhoq4Rs6R!Hva&LvHQV86&KnD`
z^T&Hus|e$4<DeH;02Ao#uTxo7El_k;{i>&l5Jm+euWe^%MwNeJ5L=u%3a)F~_UxzN
zwqT5VZ4EP+F9atK{V+p}wwRmqAwg_bXHNHi!h(i7zw?_JJwnAjx?s>&0EQQc>ux!$
zIMRJBWZ;7-<31aAPi^2w@VljtgYVgJI`yQl*&0*CrXBU|y37ZI_nE8BIXDnl5?M7y
zm>}1#%)#UzFUn%(%^f{Cp%)1zK^qgCm~;GFk<JUY^J3bs-*TaE@@HHX$;gGE9d+LR
zy!a(u@?vl!4^$_f?4dduqoqK7z;Q1xN?raNi~r7xw29<Umo_@qxUOFNGlmx&yxsMG
zpYh|nna=OfeRTX+mb_M>g%?yIiQ3Lff~ftlH?saO!}DqF@@@8f;M7+5a;1`jp)FMr
zr*9ZxN9V!s2YUEG`PKF_iqUVHhHGNl&5SU1JjUnL9e(tWD|STB2qU$#_=9qvA%10b
z_D@9%VE*E^_g|@^I5J??^CrO%^z*f|Q%QnQ=W`7nJ|qT*>lRR2Wr+1WqDwP-C=8F_
zW?85chmfMn`I3JIFby17%%=!ptix5o&qfmS3k}9nl?F)Lw72zMix6g6gSw6}dTI}|
zhwx~;0fP2_3p9Tsj0dmM#7vIMz$1lOrhm5q*4Ts$FkctJrH?zhZ<)wpyL0NZE*Rit
zla$fL6j7|Q>Fj{00`6^m?Ovs603GIuTW+~xDBbu){dtTcB>7x)vlI>R<K~yI-@3)I
zfhw5X`=1hwY~(K$D;r>w-(0{gsw9X)9d^SkD&BZboiH#qKz0l(OMavjWG5c7zk9EY
zcPH83obfOKhM#U$`YDaIrj|Nu7gaDmFJB=XYk&<A6@@n=Wx;Fk;odU?HN<5<6bo%K
zz=Kr3G*2aYoZwkpS{F!zxAZq93w1*rKJK@q(5Zk6Z+FqJ=cyy4A?D2I8;01&nMq;(
zsEAza_I&AS4U`tM`<BZap?;?DpXO^N_}n<L?5nDU?(@8C?5~Z0sqW(10xG87pK+hw
zsEz+lvOSFsp@Zm8Uy6UC424A}cRgPnIC*{%h+)i|cart>><kq&l>V8^-L8wRl?|3z
zMkZJqJ?C6{Qx!*p#tN)7^sq0f@m0QwDI9aYuOs8spmC2~-l0wprCGh!yEmDErj{ye
zbCibBrCoB5#Pv~pdw!#Pm^o(8d9Bzus^j(Ml7!bZeXQ{m+d1>x0%}WY-_G)AAf~S)
zr9?y@%=8tl9dni#=#FZB#Nd3qKycCLJUt9i1C0ym)|hy7z$w^L6VJo79aj(QqT%c(
zUb8?OL~+&o%iPn%)JxU>ZoSvR;^x~c<+p6{vEfulY_}$2P7HKk+N+HV8uB~|TLI0k
z_|Ruln)tN-qT`WLO?Z2)ezdCv=$;BpeDP5e{h#JuvUaE=wCdu)I~I0~o_O5N?vf_9
z3Z;(UuTx{J$BVfw!4B%r{Cy4xYa(yFENs<%6>M-mJRR}Q4!ucRc#4l{pd`%K!7GT0
z;<4I#+3$8pcrRPR`b-^cd7o>_927y>lYNi6Vuw_-nlS5H8dCkAFNy4wMe6A#-JW?n
z6g>RwBvh>irHicH^1+h0=*Ppfw$~1WuIdi=a#XS7@|qpzyF_7fWsT+AB0Kb4*O$_c
zQ9-SO|1GCGLQojmIK;}xuO7R$o<<L4{0{&C|Njh^hd<SA7>CVc@4ff2j&mHxUccLF
z7#S&<c_T@QiXt;*C6t+zl}aKj5^;W%XdtplMp@Z=d;JIZ=lR~xeO=#EtGuTd6ItN;
zV&`h1h5@jPY>#S5OG0bs(iW+d9wys4-OOeHtmX!olUKwcAo6%%@*^4$u}GlQN(1;B
zpnvyCk{I}@6({NIQ$mFL`=KB`0L;_LZ^vvzz`&O;H(PoSVI8c)CVxc0(thuu1WpJ7
z+^;n3W3~{^@8^q|84y_UowP5P7J!?T0;yaFYsk2R-jOs5eXz_gkkCT-z#Ok*7dy3r
zsPUEW|4PyWa+2ev?;$+kRedG;Th20a>iD$-$pKv`Ieq3@<R}+ZnQDwP(=Q{2NPdc`
zv@Y<NSn0m@;soNmNB$#}%ZQmE`SHqC9T*v`lp5mafFf~mlTiO<BrhiaYV=2K$f%!8
z^z31Sij0}YuNEuFdfqpwV*=VxxF50j8)X5Uh>ovn;41P%_SJXC>sr7X+ULYI&jkAG
zR-~KLYl!&MjPULbO}LTB#rM*I5yqa(^I0cvAkEEYTpv_5A!-26DnQKu`__w;#4B6K
zFL7xJwkH}8(6V7UK28VaTS<C<ukRo`-j%gq=`<kutE6Z876x9}NdL6R*+WW;t5|1l
zs>2nY!n75@K;Mwy0r%1YBHWU0a&cA-gsrj7%T=`Ss+r~9I~7Xk9&w&Ma$XGxyHnV{
zGqj+(7Amn6N(Hxmh;82;Qw6Z=me!D_g~iD@VWwefh+*9<kat&w&b!wVH+gBna9S$)
zlr=4AC)TRN3<)}$a=e`hw2<Q*Qy({gfhY;NXZ?O8Af!w1Qe38mZ+kDlHU-hcT)1Tr
z3k?bW^Gja-`HdDHr1pq<YcPUrRY?7Ix(djp&>Ksiz`)U4<{2vN%wWswJ<+190yOLV
z3Q5ZtFik!|z%a0aq~yNft2QFgUJ?`Fd`|~M&Xq;cob2$Ooc^fyDiOwRFZNC4(nCcF
z`_E1i2b^q)wR|c_1Wm+^v!Iv(203_Lq!06_^QLXI{-O+;0h=xgzZhXYG&0QW9T((e
zsmeHqDuXx`)Fcp@!HM_tnz#rLJX<@{qOGkA5&9Kkq#_nTB<B;tp7MfmT=?CMZ33iK
z(J;I@!3G;nk#5@B{4hYB*_iy00F<HsNN(}$FgIAt$-X841Dsw3-C6|j{}0ou8p{Dy
z+)+x8+l7GFPkkwB4G%SDrB3acobZHNU|i#y2;|U`T&q6g!D5cpNar&b6g1!YvpgjR
zr%kT%)R*94eK8<1h=B+A`bR6?a7%z)ALHJ!3OxK6E#3+D;Ds8o4nEZ*lCXBE<KF2m
zJPiMCIW9QN2bE&kZRs&ma5RUxK!=wAw<nKtjQ9#b=+%yd-viRnF-zf;9ZY~{c74sl
zVnQ%yS>SzM2MeJ+Q!lD%m4N}_dtWjo4ARS8rll`sp(0g&@{*e}oJjThH}hQ-+-{d2
z921s@tl;i5vHi*rFj>8;c3vEEWH?h2QWT(3GJ0RuiwG=~ToB+R0kXC3vhj>K$ZQg=
z(cn{o0%^XM<U5k^Mq=t<=!Ozh-uY=^Kc)h0F0&^MvZWwKYfj<e4?LXu?+ZiGcM{Cp
ztYeBKOG7hqIy@Vr3|^{?%@2E2A;69x_H;xBdfy5?PI;gV?{p(`FCD0XC3U6w<{lQH
zU-sem17*<u{N}W+i3ZTi*L!Mm%7MOvr2jh$BGgwZ@{Htb!md*w-h@vcHX}1T)~*ww
zImgIrmR}p9wMMYlF$!SFdQGJ7^5LG{52uZPtONPsb5sp|3cyx;(7r$-!i&fgL`exf
z;F|?dj8+5@>ARouJ}U#y$q%g0^7J8&b?ho96Ato6-TPikD+8$<p0Y6lIIg9|7P;V{
z{G<ZaSPmYxh8gBHD**)c6}$aIa4=j=>{iLbflWK#&3hIGP-juVo8pdxDhd9cA}a;R
zaikg!ZZm)o5nB;aE*x-7JPWG-CJQ=8uc$v$HH3n#L~6Zzim(u2%<3#70~@U$^yfkh
zA&jxWL!wmy?7g^awEZMOx&ryw_{tC-?vI4Ej>rRLkxcMrrWjD}b*rpZ8v>4H(6{!R
z92{pZb~zg-2&wHyZSEHv!aO(+UP_gPeoqyB&u$)QV|T;{-ZO-TvQmbBCRnhN?U=QE
zzyT*Vj{EAJGz2K<wR89@4Pui7ZjWRpP}f|lPhm2IznTXvF+oxw{4na{T~=Bce$-W@
z@Xi1_JAT#WvPl9eEcB8?`~bNS(xKyKZvZi2LV2q%#o_K)_-}8%btG4xKT~53VEYo%
z^D0>s9`tt#KB=BVD(Sb+$;1P25+h!Tt_Z=o-|jE}3mrq^f@P9%QULOl_f~%U2|&$j
zrT9xKUC2yD;pdX82>h*-;(aB;2Q$7>)@_j}f|=<&pO&Q$<|ZuH?k{pf4pqSJ+IAo!
zkuYlYs!b25KE9MEEO0^#Df<0I+fuR}K8JaiN)HmWF0j!Fa)7w@Z5n##cjRjHn6Z|w
zE{Gcj9#a}+1==^ZdPmAD$=^RxoT|U21H)>`o5#kPAj)<3+O$t0nPu(nXj#2B@UFJ9
z_p37i5Sq@Xq@6|7?u^~%q1T2-LmNnHF9w_wZLV}<%MtJJNY|gIwP5*r`t1)W4T!$6
z@#=T_h-k%8B{mmo!mY27A1vpnz$<y)KlW`KGVf_^(M+ugVYVFwaE20O@_hu1Jh~CT
zTxy@^|7iei^FbYM>j2qkD!#~CHHhf)nmMR_QU{0XJvz?Udx%g-ADfuaD8if>*=nw+
z4m$FrO~tw$Br<r=_KNo(gl6e|_op<qLys_?6O!FVHVFg4tnHJ?w?tL_TNpKHxzkIl
zJGzOSR!d*YLH;4{$Hd-P+){-MjEDcLKO4wgO|9GjI**87%*l{iCINXnuJf4U2J*;2
zVS-(83BglXiU08?0SA@VWK+pHqVqvhLW*hysXlvd=GL4F#FSnzec-*0`1>4j&zV|9
zgr>{bdVN)ZKsolK+jSkmUDL+WjIAR_N5<IxZ4g18+p{DnY90A@{kX5@^5I<R+9O2~
zL>Tv!+vOcvM=T95Y~K^vK?ZwmIe9sVkm`Dw@9)_Sq&Qgp=L^q0q%}sLSNfSUloT<z
zePZ84C_eCZKI}U{M6o`P`!tooFRv#>X?_!FKI)WoT8k2R^_Thm@(G|=Z_ux_xrKy2
z(8D=pQ9;$S*`R`9JXrtqnf#BigWQ_xl)fZN1I8&j?$^ZeAhF8Kx16$zL?7X)`0{}k
z!Xg++G+s&&$mS7{sIZUtt_`1F52l0QiDcT`S{%3)1dm)@K0q3IggjoKV*rtQ*9X}=
zIH(S7IsbZt0$eXtA0NBQbm#%j(cS@yFh90`9XP3=Wh-^N`wa`6SoAAM{-Xd%BHPqM
zrqqxyCn8A2#tzOW*TZWZ6yOMd?t}biG~j*Vz8&v54tO3QN?$rC5BBUS%T!_*5S8I-
z#Qx-jhIm<pE1rjUw*5n4E}0IZCD+?p-MJy2;em@Jl|0}!+mBp|VSuSxjfoloUihf|
z&Q-lo4idXlouh-9;2xv&nSxb5kUu{y;BZb3!n$UHPGz&e=YhPZ=9>aQYiwATfRh88
z>90!XSJ|NRHWFeYD-3L^wtFf}a^QTTl&KQo0BmiU>&_ifF!)6jVW*UX(wHNjJb9cT
zi=Vov7b6bZIy>$cIOO2bZ^U0!iW}(5&i)ghlz@<pY5V~q2eXF#f+L@JATT6b^T0(4
za<9c%;2$2&<BUet#qfcS;o$Pq1!?f!em_6XAP@iE|46|d@>hGLf@?n=3%^SL*t{x{
zhr*N;IjLYFc!L|F5j`yjuf*8iX2dAKRpUmLgCY_5S^ETAhE;&6j}<9qnToJ~t6f=^
zQXC}x@h947aG<bEAO3v)kPkPTVomfUfOTk*J!4u4zO`o?r^n)9Zo2UCg;+_*uGgfT
z`$hojXC{(ow3LBEMWhlLmx9U_b|TXcWym+368vm;$m_7lg21CPV9FT~)%BVPJWp5E
z81hu0nmaJ;VHp+@>cyIy4*!pao5Q<L{Hic&HSwujNDhjZ=+)$SNWe^0PSsSS2D%Fz
zM+-vb!Q$_YuAl@G<U6)7`QOz53^jY{-wp+MJ?pB-+j;1bc#j`$K3Y)o*rV|6As;RJ
z%R4E0NO0OF{@&W5w`cb6--wq`f~;+259TBiSYmu~UBeEGN7ImL7CjzVI!76HC`eG;
zE!4*qgMi2}J)@8+Jls;2JC-7$0)|7zXUysVN?gVSHzWwKB)9y_b3++$N^R3u@(kem
z@5d73Mg%}U>6?lkdeUy*PU(i1A(T)5H67+7z+dU7ot{4xp{eCT#5Xo0m>K%)+x7$x
zx-0SfG{@vXN0M1*F3t#+1S-mTx|QI`ro$+8hBVxKW?8vBWCY>A-s@cYi~|xbeeTXb
zaX1~cDJ4#A4Ei!`re^~c;gyZ~Gv7u*n8<IAlBF~TQ3BC6ds80F?8$jI6}e%3YV2Y5
zpb@Z+ehlZgk^@zbHVZyKW_V?yU2F5m2tw~RUgE!x1ut~TPlK5Xl4^oiV)cx`sbo<i
zx>_0*?y&efxGf_y;@4MvIt-y%cYV!lL=uEU7*1g(TM<1Pkjt_+1Q$=kdw-ZEz-$XO
zxW_v}j+|<m?;S9J$1Owl_V-1BkZ2LHr@KVHfr~r4aK->+>I3g(OAEnIf%)-IxJ`0<
zz{2}4J%>K?(mlN5A0MPIPW|3g*&_$ntxE=+1~5Du!(TJW4N*<mo2@n!Xr(^0Rb@E>
z#TNy;jtO&umG_S?@?MnaveAoyI8+~keV?g5=V1ePHXj86YATfed7hd@uO2*H#YSK~
z7(r=g>aCY96)Hn%`w7|51;+LC@Chsithhw)s47#TLb)18kBRGow)n|DvJDlC{N?#4
zvPy|wj8=HaW}^eQhGM52KJOth4k|W3GAL1Hu8Dn-``Tbfs^Cb--9TO<87~6}l<4i@
zncMTNTHrag9cU`MjI{PRu$Z9~=&Zk+$PTX-I9Wvtpb0ZbgwFsQ#VHE(%=^K}Pac|Z
zZoD+lb9@vDOuqI!e(HeyEhxdF=Ys|up>#O!;n0Pge0l7q?U4iW<qNYlE&LjgApNti
z-nRxZj9t9j@pYff<kll@a7!J&@(xD$l~<8FUD$R)gZ9Z0GKIEFBWm#CMA*E1<qvXm
z*UFBK(>}TK#@{z-=4v2n5mDFwW`KNl;nRJ2-+l5xBHQoH52|q1?s(Ai@lo>37Ptw&
z-zQU3Dm6?IRY9|Z=BEz#1X+vDQ|_DQ0oj`Kf)(<b1SzuYU;KBc$<H&2lG7Fs$f>{f
zn}*~_KyhK^1I?Q`^2f?;!zo`1l&UrL-^)T35RTeNNPDtKu0PulxrCua<^Iq=i$Cml
zw{J501)N?cf9)M#)2O9HFDqp{3$GzUmqtzfQ>In2Jqh?L6R6NSLD@@z$A~~KV(5=*
zTq8^ThKs2Y)acj|`*Sx2l;MM)U54%L4KfG*dILP7L2dsSkb-@c0Xu@8`em_2Ze*R1
z`>%r*75=GtGL2Cg@W;PMG$`$mmEHfHog&bop3xL{ORNb{MQ~*g!S0clm!^+%SJ9)*
zC)22_)9|o!Wyd*0?|?jeTi^Ve2P0~`@#yh`KT06gw4loOfdb`9El(RYVn%&J7-Syn
zD8Z4!SR!Vg5?z{kpqOIKiV9U6_*p)|0sFdR;~5QVl!d(<7k!)^r7dPpJWhv$_I?h#
zrN=ZV3!4ZZXA}oom0De39HI!TA)1(0Aq@Kc!J6=`5l-~Q^O=2_0|m%@$5usGM~CKc
z2ste{aHH|xEgw@QD8LwU?8oqJ22}b#>{jgt51OU<fJ;_U0o;0hMasRI&~o&ftoD08
zbYE}joOqu+Bwb@Mrn<|59(QTu{G2O*E=AS8Z%UH~8ixb@%Pnl^K0d&wutEs!=Bhbi
zbWtAMi==N_iE*II)FmdEB@y($GV2K$8+rKB%G#so&xw|Nt>^1j5=V=4eiwV#%7e6h
z{?VtCTxhI`c#Quo33L~ouf1_y9?oR#yPOZ;K|Svz(!U*+L|IiY${eqd2N65Yn<Daj
z=)!li4p#?h^ik>{w*$Wd%skZJ7Tw`TSzC%fWY5Z=&4y7gOJ6ELS1A8Ow*^6TTfU65
zJXsb^F=&YB^H7Az6mbb>j0j5ZX%=~BE{_VcDM_|F;-KRCqv}tH7^)F)qs*O45lvYU
z9sPY@38M0!?GswXQTKxGyqZxQIu%zq?nyy_4AC>q!wizBLh_fPsuDcv++ls(z~zt+
z5mVf2C#6uW>5RNsEoJnvL*kTy8xj5)1>hbQNTc;%MsLQm5z#^ulPJPN73e=1n)s0#
zi_+#LnA>&|QRq-HnVlj*J>#D&A6Hovn{=I8B~S%5Fj@KBc2NzE+;61Us+L1<#EAqH
zZmXc~&#4Kr92$_cmo*+qt$?0aW8+;gC!rrC3OHN)HDS}<Vd|-tBHF?vcRIy`gsLBv
zzx2IU8v?#s!Mqg?Eql>C8-S2d>Tzcy^CDf)D^?}kK$K9Ezm0`oJ5<m=g4J)nJk<xB
zMl8{BM+vPH{XvNlQbDD8n5LZoz|+acEi(v@c1T>l*dR<qJ(}t7n@So$c=*Eo@6~wJ
ztCa33wuXQ%%+Rhro;3hV%USF8Vm#V7-<sL?9f#i1+Tg-JGKAZrUMC#S;L(N|CbhD7
zdDN+@F!r995im!45zXH#q0*@d*jpl4^s%U_-MKI$z^v6B%k9FUGG6UTF<FvmE@->9
zR~bROqNM}AOcA}rR8z^|CW=aLC0y5UHiGJ}x560DD4=Pk-}27<<wMuPvimvS8i7=p
zDzWRQ9Lhd<v1fdN11)>zKfxJc1opUdCngB8sHZ1O*ArkstB0N6|4=uAmesS`k8aAK
zg7rsGZ)OTKB$L^VzRwU^G*p_OR7#;Q*cP2$BrlS`4KRl(Trz}T%Y=h_D-!7CF#XZQ
zx;AojBpIb!Gl0IG@w>@d;%F5kY2dG6Kcao1BrHGB0E+Bmv+9IJ(8W@pjMX!<$kC#}
z1>7!xfa0u;z`Ou@F6fMZ2IDFsCBx7{5e8tvDBGMq&x@YB%UE<#XA@aW&Y*0i2KbcO
zIY=eNjc#@J2-Y#}Anv+x`F4B=n4ZfYnvdr|@BBNeG}Ew)Y&EiF+{5dGW6H4zZC6$_
zcR~HD?vp))ZiN2WfQ261u-q`J=3qom?HsiF{MbXRTrR%5>8}fxx<wSVI1D=bm@=d{
zZV!o;psg}_t^?cVW!ZE^RA`7Ud23^37ZIYFvDp~XhEv(=zHyuf<knSPwNtXYh*<mE
z85v=1I9)$8({*c$TvobNV6VS}99>Irc0H#B7uZv73P-GxL%j6j^~|>shexryswJAh
z8WTR|BCtp{>5V=%dUgxh;8%E{L8S>?<?3U}Zd2sp8)YmhcQ=vF>Y^t!jvDZ7>e_Fn
zTchNljP|!58#j=_Wv?%W@73XRJLmnp${w<@x!So@@eQQ;Y8l@%VRd*}neSgx+Dv9L
zDrWS|TSsg?E}b8_s|G(_Urp0LmrIs2d|hm4wvGhtQ6<$csY2-uv*FwS-XkLl4+E4%
z))8HfrBDVpRhYVPA5V_^j!+qm3&#trBgAA|_LM#n;KYZdDIB_ykn>YXMh5Fhc?i9c
zh7AcSHFj;x`v;M`Iw?++sq4u0m29_;b`@AT!N7E3X#^p>c#d=B*+A?#NtaBlRe;OO
zrS{U7al}PQAdl|j2J&%`^UkdvB1pb{)BN)G1kxa*oYIoDi5MxEzHvNDgi4#b77FY%
zV%FuYRq<*I(M=al@BOC$NkF#03@^y4%l-}jkaJi;6ZyZ}NTc`t(2*cz2yo4#IO;Nw
z3`K<fo3+_R+@u4{FS99w)oX1AmOG2cg-5EXN^5(_cCUHZv^fD*e3m)cN0*RL8=AjK
zZ3l>xwPNtXZ9J3}GBZE1SV8hz7mi6SQGnP0Rl-7@5~w;~WT9_eMQSBCYxV`G;OlrC
z=N5$$DAkJm%yT<@mm(q~g*!DQ<7JIy&2Z2YRI}Z{bC_%LSI3MF8Yl~m=6v=<5nd35
z5`Ro?A;W(vlM~KkpiDx^{rQ>#^i!UmbQ<14d`I`EHYMr7gz0QY;AsVDC{gZ{+22Fj
zvMw>2vM_>oN!sjfvOFY^3(~l-6cBwu@4*Q<W~g$lC1?@lA;in9pwojAC?46_5dv7j
z*lnRet4I!f*1I-^K2bq)&8sKX;q1`xwfC+8Q4YTRaw?w&8Ys?dQ4ajW0e;nA)3h37
z!H2V3#&d)g>~3PkmM?O_0eu{Wp0h0IWL><u`J4{$`PZCBxOiaJoFtfskp+*?<afkW
zhC{#CixmFL3kXKDiiV7ZsxsNW-(^g|G-y2$Kf(|CSB5*SW3aGp=T~=dzyeEVzQ6ex
zgg{LL_pZww3#wU3)q@7?z*H1cANHRJ#64iKH?hNlN%rpJ{2UITJ86J9J}U-8KIQLv
z&tbu!Zfhk>lnW$V6<QikNq`i#GsY|q3q62wjIHAa$5>8lvmcVMZa*rw(}e}b55e>G
zVZ1=%-25|lUK+MTyrrg$WkJ`AvTMSF9|R4naadj~ggx5rZ5)w>Kt^-B%YK4DWu12+
z__r*ywg{I`zmWrePf2dlD`7~gJ?XA>n1?>;yM$wvJUp-}t9GFkgEJTC%~{J7VHfMq
zlCrM=DA52<_emUhXOkAo-zdS)wkMdAi8y%N%2E)?CkYxqms7$^2!KTr12uf{aGz<&
zTRlh${zE6n8M>5VZX|P8z*ZT4HSBr{&Pv0Dz@yVtO+>imIepY4iwH6lZIbKfu|N<B
zzB!Yt0>?kbx+n6JfTQ^tHFjJU9%RKFzwb(d@A4fy&W)<T>sbFb-05&%Zhn$_xJCj6
zqpAsfhC29lsR`PAQGgKA05A6`RcK7#p#Lvj6B4G@5^ss&KqIQc=I(V>aMJnP)>WYm
z1?t)Qbtjb|V+U<+J)#PKKP~b!j_QIsU$v*P10K8?ONC0BN${_(Rc(_Uf&a!6Mjd1c
zKmoX2<`osNUF?oJl@9QjdV2OmDFK=vCcmTjMugC&zG%;61JH4gN%NQ`KxdY}ucMtZ
zT<6*3+`eWA2KS$3f9yW&xtI&i?WRgF(^E*1p=1Q-tHm#IcoCpa{=HFoygU%NX>950
zj3DsfYR*t09_UX5Rtx0Fz{)`W<zFJka936`IO3@i4Db6%biI~<#@52gCQD;z_0scu
zZ;FF65)6xqB|<=Y^t$-?DPzcCyNYkAQvj1cZ>BY)xuI=?+FhSy45j69BJtFR`MXSd
z`inBd#)3fo?t&2r-n#=K^0JWAw=SF5LIEf2%)IX<89{9PT1l<03_K26lMhUqMS7_=
zDSk;9!4VO|IoIP-(C3>WRb^O1ZZlQxHP1H$nXWrlyY><g(GbB7J+tJd{r*%$%n(kz
z2>JbVUKCocbe`~b+$1mTcbL(p8-NEheV&h%5D?E>R6PB8Kz?!(<2b}>0QiR6baCT{
zy|wgdno}kfIzcF~VvPkjbu`zy;SD!PiwDt#UZX)z%CsT^bO2G*j3|8-2Q*g(*+0po
zMdLbRVyn3j*f;FySXg6$<Bvw)D(Pd;x379#BBb;Wef~>L=r%p%@l#sr2V+pJs4J&X
zJw32Fadwz=g9a2FHvL1dVbJ@T4fi$A=>qkn>ZXeu1$+|e!sKdV&@uNQ>1z*kAPW=t
zA<usc5t|#`A0MSf-@9$vbTw<k<yr}Y_NirL;ia$cs}Ne07%-kyOQ#JlB2+&75}85x
zqzJNX{IqCBtpA;8OD(9nM{6l-{~PHJy*v?CLxb*L?2O9G(ga*fWUZ3d7i2Iq>4wT>
z8dRmH{7TfS2IO2<eEs@m3EAC~>2IbA4QeAKHCkt-0rr&@I}ay1$^3=VAAWGqpu`?(
zuRrDLaCBO@coaWEM(jRj^)l0-CfBsmp9`u(jjL*<wdn*I(~gaum!UzMG)A7+MytUi
z-1_D0k$>dPCJEb5E;Q)m20zFAmMTb{dGB{2a*=F6<<DJEO@m$u{jJJ=RTYE<;)Hh=
zmdQ5r4BaKFv}g+V4M~bQ63pxEg}l*TBa6lM)AaqMMfpGTRz3G7fyT&-A#0xvGJ}X*
zvv4{FCG9M%E-kA7fe^sBnYKlqU|W_?2%|%_C<7~pgH_<VOh6Y)%?`PfEm7DtfgaU=
zTmSG1lL~15WdCz@WRIM3htRkFi2>~|ikB=tyfd4cmTI5rDNw^>UyK)}nNazvs)!PG
zB4h^7Fpv}|(c6ii>lI3wQOBTM!PKA1z@_rx->@AO`o{5o&=*fu^u?Fwl`;Ox5Hjgr
z$eK!xMu-2h&Xi+EpPFrqHwY_(udI3H+8-M9zftEH4s{MRsZrN~C7A$<DcWc2O);pU
zsLneB7f$p;Pd34E6AweP{PPdK(4j@1`f^QqT<HG*009606qk26)$bd}?Y+mbIgWXb
zgL95O&wY%Bq%ul0w2TT3BpH!VLS&?}8or`JNJc&nrHm9MGb75DosszY{rg<cbzk>$
zKkw^)z28}f0wm$I7Rcn1EYeSMqj6c>&OPknXusBdQsuZNM9GPM;Zfj4=8u2e%8kY$
zad9=y)k~VNnfvJpVVw_^^J;k9(~v|);r>5P;xs`tT75`$Qvm6)mSio>OQF4VvQh4P
zGFTlRD=1D8LZ_MLgwGDhpp%2`Dlcx5VL9UpO}I`NQCD56Bj)AMnS7ByH7Ch1A>;Jl
zUJg-Iv;61uYaAYl)fHFy9U#N#%B#rD6Jn@!k!TjYLlMn;S*Wy}B15)7p={E3aTKh0
zwDev)0lhL~uhhIlhI>zJukAZ8fiAVjY8Q<up+^IINgl&wkckY=*`_3g!bKKm>zq{3
zHu0dz5*JPI7r0oUupo_k#9z)zw5y^z4f%J4|1@EcFMPY;4_SnFDDYrDrj9=3%G+AE
zX+a=!;K<`Cd1Si$Xh+@(5xLz9dKcHD4d;r7r1#v!qjKv!)2}HSsPJ`r+MWaoeD=`6
zA1qKrC&Mx_3#pnYVQ-2dVILKy1ZmR+odlHlu+Ht#TP<|Ls%)@Dmj;ZH7nFKFWmK3R
z*m4(7L3_8$J^N^)11mYnJv+9mAnSuY<jqeM#OBxgu-si2aDr6hi3n8`Eh=fq<W5DH
z`4OGjQaw<Ym>4)xsfJACvy4{ys3<GqW3IKb0c<;3(&#p-j=p5%W-)2g(9HN5&72}b
z5H%;hu4f^kTB%d97x&T7$b60K2M1#y^|JpgV$(psD{Oj_%xNgI`R6jQn}UI324m=_
z21@>?EwgQoimbOQ$cI##!I@pR`Uv;QXmu=s*uB-y;<CUIV-GqM*GhIYC}^TJi+>^+
zSrioB(`F+V25{Y_uX+1fO|*x_qTr6XHrhXW`jCtf0~&9e6}-8kiLMQ;HF5Qjk)_I^
z=T~|euy_9Sy5}xUB)Yonx~M`ztw$znbdOnp&|dwfKU??8>{Pt8P1KO3y%2ZpdketP
zdZg}?$tbaj*JDyw869}vf9xcWC0LA0iq2SRpuD~to_n<vkzY`LrxDo_f`H2>okT)8
zIqj5)tFq{RgS!cjmL<&V|CRalOC9kn>*r85ap+L)K=>aKOF(<Uy*x|}mB^~hsICYj
zr}+^Ft^o^Bzjtu4msu6vrAG6#Z}OnQ6T`f3QZ2we9``uOUl~QLHMhw#Sdl^S+mjE>
zEg;c7MCSG|0Xd(u`<s7u6^pz_#gFtbK*p?4CfPv|k&ipCw(XwA-o)Iax%x6dOYFyW
zpSudED=l_%hiDfTp__10aTDN|bm3IN6Is+yS-6z8EtlT*skFNK7QlZ+a&J^RxAcEV
z+g*8~gT8A*G+0s^;Pe?Um2Wf&<Q!4HC{Z><_kNiosI!j__SZHaJ+2l*?9YC5YbB1-
zxo+|>PG2ww%9(TIiU1MxPv7mTZ|DR)@o2_Dp>#9o&kmccIVOY-=dAJC|CpppDtn#p
zt~Z4Q?AegV8Xt1WzI%}@JVpN?d!t)&)dXfRd$LOcHwygvCCJQqk{)cmM{a;-0(l86
z@~WX6D8jAe*NMe(dI4_xHsOoL;2QPn)$>|bl<(x&WGFdC|LdWr8dPBfW6|k+CXUPq
zXJS?BJoSryMQ$RmgWU)!Q=g8-AKkzR@#+7)zCBErP~|Y}KVS$uSUw?-2W!}&TkMfD
zazE&Xfqu$63Ju_h&_L#x{W4|~;NQ|}+ehD5Rr2!_uK|3W(LC&SX%Um#e9AoO(?t)B
z&H6<3)(7>RV78KtIc)Il#jn>&ztW`>@GW{@_24gu3j2KZ47P3TYio@CCpw{h?%WeI
zJ=n&1FI-uA3X|9Gq2d0kr+dqUWbb{Z3w$={#8K99%w4MF{hp3WI<6v7oKHa)N<`Wv
z3p__KLN|8m%*9;#XjjdLq7)t2U-d$&$mA!M95Iv3n|BMlWEQqxMo0(V1~B6Ce21{J
z>ksYr<`-iiY7wdtPlM)@qA|9sgILt0!1Hek7)C7^$apJAgGiGdZT=YpShW4(0Z;Dt
z*vr{4yM|;cbYYr}=u;o&7&6%ry6+?Qm)g#cm!m=%(%r1O^c{QszG38?X&aV4a$xmk
z9tB?A8htqs+ly_twPg0%(T+*0)!jX9Kmk3gJ?!~Ry_jyHpm(5CCw5Z8?aYZJZ5Z}D
zlYhRY2Wzu!|C@Za2Rmx(8ZuU;1wOMHcBYd(*!zQ)*E&=Cu!1^HPxHww?o^Yd(;a&;
zB37P=d<L<NG7e(~UK3gbS?-0gf5)U(Zti4N8N#fzD!4zpkU=XqM^fkScWlq?=M<rZ
zVT?G{xBlUt2E=h12a<IAv1?~5Ud;6U!h)Y>9u^oR!NpVge(Qw;*l3^RwxNkp?3u3d
zn<x?qY$|XvdF6xH&d<h*J_-|<x{b1mWDpTdmhn8}6+bZR-3(!$@F{Hfl#=taPwKGu
zNu~~Na0nB3+&ir(F@u>rDN&)QtAk~hyfO><Cl(#SP|IGJ#fTdvU+zSyfs7bk_+Qp9
zEL=~gGctG{GyUgrzj<7B>)X0FI?PA0$K$R+TBJp6mpbOqx=$6z#X{x7yyKXdkAK|=
z(;qBEN`stTqXJDNYCIF~B-VF<=yRBT1q(4ReMqOMK$?Qr^nIAdco=-6rKW3GXB_sl
zGFKU%kH62ZDW1Vf-j)|7JX^=uNc=*o1Z6moeB}Z!Z4UEQD}E&Jx{1xK{V~XSs017{
zwP`Gc^O$!{$XuElGZH*MtL3b&1b53f9Gn~$v2B+obQKy{kY0MLQB(;59;R7kuM_@Y
z3vp6^;SL+J<4*e>Xhi`2=hgomC#+z`zncQX;yBP^CuQ|cuOcw(bC{mpzlObk{p4p;
z6&G^bVe`W2vLXzy&NoK9TgPq*AHNWz#EY6{y;2UzD?(sB*PYA@Tm4a`Iqx>{Bc*6-
zX`g01{D+(H%F|&+oNepl1+GG<dR6&BXgD53E7}T1+F8)ogxG`jTl=}%^RZ+V0}uR-
zQO8%a+0gsjhP@LtqDY{bQku+<hpTG_4(bm$P=#;rDd!S#WaZ4)_@G4rYL<J)#G1L#
z{-VRJ`P~wzW{3V?sVoIZB%0;FrtzZCl;P|A`qF4F<othMlNI1z`iqxGyZBL1cRb(o
zkFv;LkX1;iOaV3n((69C384U10^H6~Ky0^OA9==#hoEo%oN{ZzTklscpd3;}s)lmP
z2W;?ge%+Xpr%DvPskt>T#G{0i^nJw#O7P%ydFpvkt~ip}qoH=ZR~a33m^&T2O%WED
z{vIV^638O>Dbc=F6_x5M{(8zy0M3^_3RgL$k^F&Z#?%)7ooy?*AFwL{Pns`}Q@AWz
zSPr~jprC=c>=!P#TPg!rf{MXYO$Fo}J?i@Bf+lKs{x7)llL~0P+Knf0D58Z6%B<IV
zw2|%0{zCU+HJG|>G?x`eK*{n|A)P8zbdaIlsJ={u>sdN!<{HY##jY@R!gb46ka}X@
z<&&Z6$?$>5UKOMetv%O&T?Ykkmz8(=rVWHNe49zS8Zz?We3h4`i<V7vtlev<a8&xF
zmil2L^1L){Fc_hS_A#Bq^R($e`|}?iALTSqeRYN%%|IXZK6=|2pr8+0%9e(%pUFtj
zysyIMkv=jE3pJU{F@yl9_x^rD3*F|JI<@PSK9b0n=b-K~0n23Bw1Q@BWES<Q{lhVR
zWbJOCWXoj^k8j#bs9m9;owm%A!VmP&1Al%L;s#(ZUB})&PC?&PGpGEH>!N0}%U;>f
z7_iCLAzDG&@<XoIP)8*Vy}<-~mb)#0XzcBC%#ez_uMQUJl~T}LOmW#-k0r#kem(F~
zkcwt`ESMad$>>C2Imf_bE9iP#@8?=XLAM>9lZHFh(8-u!;Wdgiq!zai&C61dO>A|_
zpJoEOtWpsj7-9`!-J@n_%Cr!dAyo#wlR<;($F^;Yvxc>2iS+p&WMr@4f8Qis1o7<1
zh&S-C2B)b_t&Ua_YNo7=+f}il^Hr9muf(h&uHl|(RI)k>IC`?0F*=UrhVnYtWn01R
zhG#MSbX8>GVwcSE@fW?NEW!MUm=#<}oei8CR6>cw>t)BO8}vTEE;o%JOR$o&J-9zc
z5zXxKn(}$f0k!ALgPphL5G|j?pA#;Rh`pR$?)&+m`Pb*DDgz5RmQoaHr7Dfeo{LB)
zng{{cVVw{D=?u8NG5vU*2Ztnt3PL;n6NZ(=j%pe+1LQ7bqbvgvRQz@SQPU(5IO`C8
zKHwZczaPKDQ8#{cKDCNsDJ2R^^cnw-&vYmd>N%l1$${1lFaDN4APW2MnSa>z*&KNL
zk4k;#V@BmaM@@^5iNZV5GogxpGYB2OzH=gE8C!q%dUvOdD9lalX;k=U3b9uL)=Gya
zG4G+IBR}w>u-0%=e;?5lRy=taBf;OWS&m*U$r%yYJ8d2*e%u6-7~K|c0_*78zNswG
zYeYaz`-qfPt}(D-dbR7vhUim9WO1Ps5f~F1wryK90-ZzCtf=ZY-SdDS--AFAaHXjI
zXty<josV$5$y1B;2&LrsXJ<t~>UB{^>~lk?eApPqvam`YY{89l`-wnh(UVIDaE9=B
z@T}dh>l<`;R(FAl+ahp`6F*TIWdI?5g?9Fbm|-d6E>82E2>9H!Q+M9bhvP13MUU)Q
zVVk)1n2(?+NYrDKQ^ES+ZC>kbL|}&pdI`5pFN#9-{qli5Ecy_e{o_DoKL^CxFW*(1
z6$Mw;BinuA^&o|XjgJ(|1^A?UzBi)8U~KyW$wpBRx&*#eEokxpudFrts4otU!Qz6e
zmAcSAoW%R*BQJ!#%spewi~|AvBifH#b%D{prkLQ(51HANOxY0}(2Pg4ud(VvRmc=I
zPfQSoq~woP{*nO6E!#EnQU~k|+~<#;5CVes_C6;jDTs|Z??^ta157uMC$3rwgTI53
zr<%Sr{1v}%+(^^`ekR=^W-Sqryp-+i6fFZPFJE$6&(k36c8Qyok|^}Kv__9D$O7J}
zm~8fr2EqGUD!5g|Ahq_W<C`n;kjq5TKb1{`J+Xi5=5@tku`>ITp&%Y&yfPi5qqokv
z_3ubI;vfKLbL7c19<aFHvynkG@S9b?5p+!gX#VY=Z+9tzV;0rNVe4Gthzx({TS;h9
zUQLnzOn}3K4)-^=>V$@(;R11Kh?Fi3lxkH1*ERhUPaf0YB6_o^d|3t#=?a?-b}Iva
z*^-lY8x1tiu!ITxmId_I@YcQw6)>}2DTx%+f!TYvyWd`v2kTSWh2<NnP-jmR5Ovc5
zm*e(4@oaeTSh^BbCaMlQ4?Vj;ey0Q30Y<k-9eBWPyYQdB3K62XE>~ctx?nXsBOmr$
z5v=k{>8G?vP(kE+eYHs!9DV<e&BYL4jL+tK9#I44BipWg^45dP&N<bg?n-cxLVaH>
zL<Ttnc1o(MKBUejtQ2i==4_I6bMkjG#C+7`&|TCAkusk<IdUpc`O9Nt?Ybs#$0ayA
zelvjUDa56<Sry>XD*Wxit_3zWp1fTj41tB?3Z1P|6`m!X=}&dg0;=eGFlsP@m(lHB
zWqxYF{;NH1%1aC8%i>tn+Ks`-TZiYHtUBB^C_T1pp#^Gc;cV8wOyJ>x{C5g3)WNf)
zB4VLO6Ta3riQN8U3UZA(T7k+$Q0O%NVnxw}dR5lpNoI2pyGl%x4JJZ^i2Sw=OEUC_
zo-&_fqQi}8ht~dLBCPI_ykIA#0q&7QSFNY%pm5HE@8DY^h}rph@s$(dsqE(Y|8wN<
zdf8d&LL&72ihnhtq7DKKkIYL|04#@Vbl>|C!R)=*pBLv;At3S7bUZr)OyZgA6vc_K
zp~Jj*{gE<+Wf3&I%@}~U9kdlpQiq>I=e~(H6Tk{Tekb5K1GKN5!Tf)#!P8gqT-6I(
zI$Zqy@q-@&G+(%BOKPcs=lOe`4g2JQEmq~3vOfc;B{ZjFPO4CT_>6J=m^3W;OyYY_
zGT?B_w^Qm~Dv)<^V^yzO0?PeXzhqi7VArp|Lw-KWaEkwi^wUl;7*M+Gaa@W44?BEa
zww+djn#84|APW(&$na>R4FNDc^c+5Mi~w&AT|2A6Bm_b$ZPOAD0enjzSL!({!g^KL
zoi0T_ShDfovF-xkzY#nC)E*BuZ}aeRKe?d0{`8#(0suwTzh}1R$wO$x0g)6s2Vi+m
zbJv6E&|0@Eb+Sel+GLWPywuoWz~Y;Bcc(cdSlqf<H!Tg+J7I_a#j`-`-p$l`ZF8{4
z8A{R(rQoCXa?lG;X3%x-qq9bv!IE$I>+Wm`I93()^<OR%q{w%rc=nsZ<+X2YT0|T$
zy(h6snlV8-bw+?{U<yXWqgK*i#NhCwj8_x|Cb-FDYd}gefkd_TGXwWU!H8$iT7?A@
zn4BMInw~L+mP;T0(xXJ+Ax=^;ERzYI`m61m-fIjN0gcZd+!hAbf%wRL5;N3cM3&&P
ztvvg3*-D^N2rg6-U8)C}q47`nVuzd&d_1+WEtpvdyp$4(E>*FB-+u3MjhkCO$9t*G
ztyuuBM-<*@e8mc_rF!uhYX&eg;@Q*E#1A()m^q(+W`jqFdSj=r0jRz%QF*<=2kF%=
z?*-U6Aad_;`OYzYSZMNWdVZ1*?*AbU7TI$`jDB@~`6+#v@b>gMvBnEQal3tms<@y!
zg4yrIs2=>>dsw&j4KENB_zAnscwpko!#%b>dO+j4pg;AD7h(uzY@$89aGDw?Qo5=O
z&Mzz_cfaR_DEGdAs3d;)>JoZI;HEAtjm8m^x%i;UX`3v~QxKZ%+Aha#<zjioy;rL)
zZ1v-KRqM(NA-EKz7<8gi2U=>)4s){cgK^{?j*tprNHuPI*X5!EG1?81?A820YWUr{
zyF&ziKd@LfWY&T1^EP!c_XNPEaafJYAqK`@b29p$(}0I_`ufu>K}bwGPP$|x4lfVW
zW@*Q0kfL|+Z2u`CaPz8fzW5jieVHFi3T0?u;BHUK6BLGHG>uL_aY?ul&M^AXx0RP?
z@9`zJ2*Xo}BE?skQt<i?<AP@%6{3x5U-4#(fU(z=gANQCAT*co{<}g2uMcmY+>I6m
zbDp@b`Wvz!^69Rh??Ec?FB#IXNHL&Izba<ykcXI3+2{ETD%^i2$j^RP93E^Q`+oH#
z9)zwn<d^ADVcX4P6T`JQh-GVe5OhWn?B~w%mFiO=kb9Zy4T~fQY*+sf5k`QapIUXl
ztf`Q2Nx`DYMGAKB&bjy@O9?dDU3H(Fq=I0coFiY8G;}eoTdp-JL(ng;11FNH!16ec
zq`y}dq*aM&`kN|{Ty3+N-9d$ccQrgIQ*y8#r=c)nqy}G;`wD)NX&~l-)huNw!0NCM
z{mCVD=$bJ7TX2^KtXg&Hmc@A3NK83GEG2>~OV82)867x()AUu}eMPWi_qQZZkRbF-
zaH8ld9oXl>P!o$IKyApubT?5lT$}JGlzQpHw*VG;S%eb28gDK3Q`dwwtdT!iUk{Qy
zql-9#lp!2vxR0o)1+D&{mpx_mf%8EUuEtjd7Q}S@BNnxw<7LW_gtP%1s`z8e<faM(
zuU~6Oq-(>R>#S0&rXjeLq>7#1rUvTN(*?CG6i9HnmXY9K1Z9<f_AAS)15VC|6e39h
z`}D4UEZP_%zJF<AA5w=ox6l7pxhWu6Ky!<HX98mco2<H9M3@duele1#4K<!`9kp4_
zK)s+<lPE<3$D^WEYg1Zq)z#P9(9|4erL%KABS_Hy`m#;tpeC%lg=eRE&|$MMI`Ysv
z5{PEY3lBz<VNR#^My5HycC~NszV(v8a-n)QXlrgl_1@!6l>k27@T>bh38w!s`$mZp
zA-w$If7~hzC}`fC{2WPwwG%?!EkbI5i$RB4gBUQ|7wVpZBf-x@&n*Y$l!4$8ee+5s
z16X&RA_ayL!87IJmD%?M@TJvQ93N)Dc$%xOI8uk{-NvgmS$LRdBL=iBF+et#Eeb!l
zHMgCm;qu~gaQ|iq)7(4*<TqRXll`d*|3bKqx2j4(HFNrK+II%T=#0#Be^CMM-3Kr0
zMvDVq)lUhDG6vK#8TE=6DZ~Efr|uFhMc}iTT_#J|R(<)mJN88?0si~lK<0M>;3ux;
zxM|9Oki;2@i;e^c;CV1c{m2d02gFv>=K%IzXuI=NMG-#Xor?qRv%`o@S~M{W;8Jq0
z(ejD{G!Z-<l+;<a=6iOfdON_2weOqfD&(NIul?<*h7J0}w?dL?4;_ZH&%7N=l7Vpk
zgt)&UYjlAkX)j$xI`};|(v-U?1q2gyv}gA+{q02k%7nW)B-URv4}B;B2OC3bLPVD6
zneDe%c%E<N3wAUAef{EahrfnNqF{k;x}co#bI}yagvH<Wn2Q1bv5N*~%k%Upwu~QV
z=%$c8A}|-V<=0&l^KiC3^YolMLF2pPOyKlc@^>*`Vdx%``lMm9KtDRHDZSEf3}Sb&
z^(r$Vs5$d_*9o>o`hOi7k(Ii}@cf*DQsxl>z>$uyY$z?!{dYE}V(~^m4(8!5i{t|m
z|7l^T*gy0h@2mS2rVU|YE%-z51P_=<JOBNlwL+JwWjXtEk0H#hni6AfaRViQwbPq@
zjb77v-CMZa0J4}LD7blWfh;@Ks-A0|j&oi@j|m2#K5HqReTfqqo!T8dbT{ZGt&L~z
zC+R~)=aeE}CC8SoqL~J__?QqBjbGr<huY8B{TvMr*u!VnITFGQJukY73c~b2s`h5$
zqega!EO@Ns*USQ6D%bQI)^)*HxNzsAM0Oxc1helTvw=%^#>$>hT^P_a_<22?9Skl%
z`IeKz4wr=Tboa370_SD!`_XCaP}L_HtEI^avZSbq&UhX0Dr0DvePIW7Em^^}RxV)s
z7V(TlUI&uOEjsQ{IN<%Q9b6|8c;IE!zZ)~fH26>Ax_xUg2Taq?-xWH;2TkV-Wj@%@
zAfEHp?^{ls;4a-CI_@q25fc|GtH!9XFuGH`T!srSlcQNUEQMgCtYMVr78M?o{@L7O
z;|5#aot(p`gu#2n>-UB(6`o{VE=(2T0X>6|o$oV5ASreinjNNq?}vX2dB6(|;Ue9E
zQ=;Irv=e8OPJyPW>HoS@_y8{~WAf2K9I9!fU!$EUAk`_98zL+K^p!*DN#Ahb9a8hc
zREh#OZ|vW%SSAR(b(Ig3FG@oEKLL_@lQz_a`)Nb15S-59caPMThDL(T?fi?{Ae!+x
z=gk{oaDPeLKgA;p<*OW8Efj5-r5+}+w~2u5jAX17r#wi<t7_%2Y6C;AJr%bu3b`jF
z<gbe0L4g1JzKGvi5a`)IH$fMN3*#2Ww`htG@kVA{W@{e{Zt!39$iP9@p?u>9CkSA;
ztLyAp32n%TnKIeE#n)l&R1NYIC5ZaIgTLNY8&Xo8_NnAaf$HB>U+q82a4=xf{{1^`
zNSEx}roLYW{+`RcHtDDet%<b-Bn=9v9?#NHRFH$l#NbnHHEJMdnsC<YCIzz7nnQN6
zD1b3P<%t7@2qX=@EA`A&s6R5HgbTw%oVngo)ngLq>1=m<b%zSZrjv0xF^XV9-@(F$
zBSX7KsP`g+2HoC{Mh*7}P{+)ND-YI$wvI%9ZUG$-{^rPjwNweL(tBryKWo8iP{xhb
z6&;8!?tkF$MH!YJ{ANww;)^{YA)1p_4=4{k90IrU&V9LjTi+N8)VuDIyQrZL<c#km
zXC5`E68Y3>zCeKm|FS)L=M3P7#eLRPX>|~N@o9ImDHZ<Q{&w<hiy>UgSilivi10CT
zJm2gH72d?m)eo5)!-;q2b{%IY0c*$|!?*TSpmyn)-m5kNy`wA_&V3;PaUJ(^Nt_B{
z++_{6=4PO|VlnG|MFWnc9f=QqLIE%z-oaUE4w-)UCdXDaAT`inXb<z2o@R!c!bP_H
zynCwlt{r6H{Ic1}@2mx)CyuCUZt-X*-Z_2yaWcdU>)C#CBExZq;;u0}2B_T&YB01W
z1KwJD*Ir%{xV!2F9r(zA=Fm~Wld~G2dM9b3Csqw?^0Q9rX<I<Xajh`iDGexUqYLs)
zD}%D!-0@U@3$Sl_$d;B%g1|28(^A$1;7js${Fi9~uAk#LXDW!$quS7}VXpx0hC0E!
zo>@RsfymPBC+d(JVOhVhUm8v(e5|;YWdYF-8VknGsX^x2*Ad-U;;?6~y`bQV1-v|1
z|6o{26@rF?Xxpy~!&2dAFBvNf_!kpb7xG>iT8~7Jm_FnM7w@nA*VY-Z+TY!L*i8uv
z6OJ;onzKWaQgMDz9s}I@V>Y5z6k#gD%S*a^lYTY30&ll#D}VLIo={4`gQo52cC)@e
zbb)ctmf=x=j$cd5O#$*S>*!G8bbE&WICi=^?<&BCP1WdnzYMq;>zXDc{iJ(ystqPc
z0CW=~<aT;V!IhJv9v@$K(LF!hNY*_>hyMWp0RR6Kmv=nX{};!voxOMVy7zLgdtG~d
zj*(F`j8sZ?ij+bn5|yNHWh6=ok&zUoQ2D%#P#IY%m6gaQvd7Qw&-Xv)an5<X&g=Dl
zz96LpZI=><erkh&zT!u$t7`4y$2e1%%Re!_Iwt~u#S5vS#iiIqm4~?@Z%trarDgZx
zvJm`uTCvULasrmvdD4E{Ut{2RR5)3vAqd&$)w+`Hqj2(Tzsdm(V;C&@hxCN`0oWHC
zW3mnK=OKA>PXdfUo1ikKq`(9B9({OyKPVIXLwXeQq1X^Y_1VAVL~=rW$cpK`npapr
zl+q<^)c^#=7E0sD9I$S3g!QOrEygQJms{Ck0H5Y#qscOCAb&3OzvQ3I*xg3e8{aeZ
zp_S8CH`9Ry4*fmrdR4Cz6Sg|RT)wOa!$!()R^Kzh!1<`FaX#O%-peBzNB8T&kT9xr
zKScol-pKM7lYLm-@dL8eZ*{@8so<5x<8^Ehu8v?<gP7k5ccJ^rx}Z~AHd<1@iluA_
zZEbiljLor8{oCSo0KX7N8HN>1aoY*fYwa=2AcCN7$)p2c?^*Sq;9ABaSpOSXX_&->
zjY?%YLbQP?yh<=#W(l*>6nL=1U<M<*$ancoGC)qVW-K;%5sT-4pY~8{77Mb7eK>xM
z0mBD#TX?w^u`iK%+qk&@VFbOShwaC-;K}$qtm)eVwh{Gw`%B&htnqGZa`*`?*jvh7
zqSCj3#rKBv+NdsJj&;cW!~z`-y8Mx%NG)Q8M%to7`&O`-?-%aNUZTT3QJ3!gD~nh_
zTw{<>!5TLH_o~cQAv(Nf9FON#Si(}D-Z<;ZPk>7YMYa^=(BLT>vx)cE687NdUuQly
zCXmh9Zgaz!1|Oft%z6wiWAf@yHebUG$z$q=&K7CHmpg$@wmhpCU+Q58X-ig^4=VDD
zAEN@kLL8a)TEh-0(S~33vjMxk!H*;w6)tEVJ^pTd9s7H$mCq=H17uD2deufyAo$&j
z$X!kZcs<pi;&_P@*rsbIL)$eVMs)HPhdmSQcyf$&_$D{RdgN`0X=%XMV!J{PPiEkH
zZNno|&kKL6J#Ufksl)RjJ5`b7O`Ytzbde$<08wR41$%ka;Sb;bK<z)Qz!Ir?G3$sR
zls-A|&HEY|2L4MsQ*wwMT+4cU4|WKFY0;&lwnAhuycLxtxyS)Z4&N^Pb{B!wD5*E(
zJQA!VWi)D6aKhx#F0ZfrV&GcqegCK(2_!SmZQ;)429PwK>i#7Tj#Q!g0s;v_&jcOp
zuHuEW5@E47dL`jRa`*ZEIwJfryV1kJApp9kXHK1A+X^X(qROtBM96vOlKH?|5EfG}
zP{v$j!G1;f?WaT{#FJQxBD00y+?L1XCj;c6jd~^VKspgtQj_0>%ZY$M^oa9dtpf1h
z!S5B-6M;L6Rd-K?C?u+m(jMt3fxB(A;*t;vp2rbo5<|s7k@dD}aHTTz4I$#%WfG*u
zs6S3{mIR|n?!z8#s-XMpbBBNu8BB6}q>cAU!*Fq3WP~sg!aq!9iO!NC<WKU#*aaC7
zdp<sv-c16(IjJVk6?Irp>|tnskb^e$&Pzhi)Zyw0(Zl!6DKNNTVEkE10o2+HPus>(
zp!wox=*bo;)O9!fEOl3eM;srX#d>K%iRkEWNhca$$E<3_Un;@kRu`|f6dGvlvCB|D
zN{6Ri_Vflp6<Brb!UIljzU$WAzvXGc@PW`nXF^n=Qfal_kD&!}lHLC8!rHL(_dH7a
zrUrR;(-Y5kX~7<0-T?l59q^5w4L8suL3pFhaDoE^6k^SOS^DTfwvBv=K@1tRrkK_|
z?=hfQHPiHrxdD9mXwzo?P909O?5{S>VZcOB@bY6lBe+?ga-ZI|sYg3?QGWl;dwybc
zyI$V}dY-oIyjekksy#HdQ$t$7{<+>sOb>&>CG9S)04i+P)7?`mss%2Vewj1z07Rp@
z8QvZ$RLAc=Ft|d4m;bd#44yUvzw<6@6I(Q)-eSpq1vFtUP4bwOu{osbls(b=Lj@bt
zM|3|q4Txnswh=vG4!hnwxAYIALek5@<$WbYIO)@2vF2d`+G!^W+^Z;XLE>tzvWyB?
zPq(nPy|#d_FHB^q)f#Xv{dnE$OA63yH#gS(%L3N9I=J6mR)@M@H7JO0D=^F!WgY%l
z0B0LVnyfGxnu;r9N@7G|aeSnC{|5`Od+mGv%~>K$7k&8rN{b)HwV$```_BTzz0Rvg
zRH?%9d(np}h!qI6SdP7(1sIvuF}RnMA@j`l1HaQ2u&UM*Hrk)f!F#SOlS)>Cn81!7
z4nF<Z?9`*J2?x#L%^87{-fjwDTv~9HU*r>>OuVpFt=|lu1-H$a7|8*PZ+nZyhY|c@
zvFDX99%exQC?xIiLmD3Y-@7xaIESb0Wj~PC58(MDW8_J`1jN+d+_4<Agg2SrFw67=
z=rbRIqI^-fU-fR#Ph}0iA@0Xi*NB00=X~YSJ|U<OuY4DEeFJ~b<<gq=-4qV7_Ened
z5`eD0gx%gD1f*E)q1y1*1O_BN<pxY~gTQ!CcK{+FNrQyNmqI3xDU?uy6>$KEs#~^9
z6#<295QDvpjG=6=;hp_mEZ|YsK=rvnK-%LYUWuD|+I-{KofqB&nDCeRhv^Xz5LfSa
z=NN+5wXl|l>C4!H294AG-Ui-VwZK_3w3(-YeJYsTKkNpllW}nAI-cDARJ56D0EQ9s
z=N}tQV<VqqE8n%Q;p@S3;?WWMa9QcIk9Wf`X6bR<OmuA(Z_zwW3T)GZgzH!B)P?&n
z4S{5?S+i9<?-@^o21O4}PMIwR1-D`A(%EA&c`LZDq@|SC4PB6LDs=VXEyrH*I6pDd
zS;3{$-`%bGyLn%8mTps*OYmg%vIl_^%Xo8nt~1vm9dPv+@9b!A#B<ztm0fOM#t&N9
zyRLoGhMtk(?t2zp_&2ij!~aH>af(U9E`LlLf=7jPQ(b!TK=)7uCi)64t9Zee{F(ud
zei!6>eSYE9?|ja2KUu-Ef2D<qGZ@grdu`6Oe+Yl-^giI_zE!;Ig0Pe53oQuocif{)
z9mNM5opgDO*6>pa+R{9Fn?6D1HEBLDf&aS4JFwkx9sgA{zx=0?4l>*GhkXsF@!1IJ
zTccSUxM6qU^n>km@X$`cch%0|kDk>Y?MWse=@*Ih3f(kl9ct!T+C7W6zHm}mKf{EA
z#D%ew$7w)b2pAatJ%@)^<R($hF(ZOXoNF8_4f0M*w0XwP<NOZI6&z_SsJ!BP?S!c&
z1T3Y`UN%|8cUYU%1@^L{hpR?gV#28)d(3Hd7uV(<6GWopZP-!g9mzoUY6^@9ojCJu
zb_Fj}v!;xG<v_t=<B56v6qps_Txwol!`YsuXY5GgMCSIb?&Urj(B(nM-zl-#cVx%Y
zZ(-bMF#MnX{aSUHwYJ^Mux3IUQh^ctNxZ1ON&IcIhB}N3e=Tpi$&8v^J8o9?@}v42
zZ8j6>WcUSNM&@Q%&_%wj$6~Yu(Hol=Hf7Re_-{47_R(oJ#H6ArQI;fxyhjRrrLsw2
zg!whBig6&%uh*#Uq9VvO&Gv()0SW%Pp15V#y9GV}owVfmMidnf-}T%1V>2IXi>`2e
z=0ZgG(a?`E;wVwFGoJqz5v1h;?YqW#kk{F#HjQDD$a+5E&H+avT(FsyIBUR<&b4mi
z?!POIZjR(VIjK&BR>v;3;U5BM;mGk*M}}mOjkiG7k|Yt5UGfYE^@Y%pCVGZGT^_xi
ziqsWUB*GmfDgC?>Ve~h$Vf@2Y1$0C^mF{FsgtaC~J~2B{G_-wBnDc@nx-5Fya{LAn
zT4KG6#@NLX^Hinx`$%Qv?q%>Vb(siQ<fresgAypovM^_tyejG;axq>cZsu&jE_c5n
zDHO|Jv&*PU4b3Q77!ePW!LK;Y0_TxIDf72=(lSY?W1!UY$f3>s#{^GAxX7XKJSE<Z
zFm<$aP>f{qVAHRU_%~M!$fNA7K$bm3LC*BHvD=DNpvUplijfu3>>A%l6sCz<L-tKd
z&S^sW@1G_OkxFRvsM6y7>ojyLUDxL;Hyu`gZm@jnQ$}OjR<E4=>8Qd^*Koi_3tl*F
zs4dv2q99L+A4pdVS$BVPW0WwUpl|X1&k{9MH*b;~HK>K$-n*KrTI)b~^^eXHaS{qQ
zVtuyj7y}*c4Q&3wst5YC<41O%AS2nyg7vHK7zj+JEYWX$m>Vy2b$PCiat&+=i|q{b
z;Abt1a=#%Y`!edzf7U=zk5ZTWvl-|d)7BdDm@$OPo(o#9rJ(rJhmsY^48*wJP{H%h
z6h0PQZ*jOpMXHB_MR$5=A=ioDT%(}?kDMiphL|)_%9n+hn|5?mUf+1EVKWzg(!;A~
z^)=D0cb-+kLz?JL#+B2-TIS&ObbY~ENfXUQ>zMAS(m-v>c9TB+<`6ReJ-@S(itPT&
zEYaUiLana^#WwsbU|e99z{E>MV?up1EIBHOUGP}Fc%20-2VK!f6r!LezJ~tEc?Hzr
z;bO*Ev;dK!loz|Z)KS2QwcFMATahJ|hp?Z?5{~HeTJQ5ABMIpeofd8}6nXG!MEY+F
zK-|S*77awySa;EM`WrtQ+a2Z~SzrOZb@%Vt@~9zRwFhc%x!6!9YjdmGUJGb;zj8j<
zL<RM_Ai4Lk3pkU6$j+8Yb6~wNvoPnYgyP+IlwFbO!+-L*{4)qMhw>Vuxu=N=D4Je!
zOMa~tQ|vSA_FXdrqt-3jKNIATAzpRWpl%#v&v5>7G~5hA9mG!+%Wp-FDPnnq$$ywv
zfM@%WWdQT>k5g^mB~ab>XVso(R<Hwm>&_LN1Mp9l{>b<!iqa3gubXq;z`o~B#YQb)
zkR>2>PkLGi{rlQ~_SysimT7fvHY^w*Q$DW5T>|JqrlKKt9us_sOe!xIHwE@NlUK>D
z+(>jGyZpv76UbFR9y8Z5frSTGuZf3npl+LTVIKlB*n3^C8gSj@*1pc`{8v~IaXPHa
z^D`3^#i*J&TsH!V9`CT%^BZ`=H`fm12qviE68ofBV+hBL&&xl_T*4*q4OwxCF+u2y
ze8+ZXLue?d5I?svi(CBqG+6hT03lbJ<9lok;B!<&GwII+{zE6FuvMP`pDZf7Yf|*V
z-%r`FWquIfN~gc7dAxzG{N*&}8P@}?hG;@1dp909!r#!du#S-^9s_n(dT`s?#Z$hr
z9_RUSdGFTa>)5NlJKxkE>%!-hH{1?xv6$EGjiR$W>sVg}<?Rk`U5E~A8%!cMU^Sz!
zJZ-zzFwZ$?I~Ae>`Wx4o4Yq&5embQm6@FX8Zd}iv_88O#@3zOXCh@&k<#ChX-<x$F
zbTaIRU9{oTp@cpm&Oxl^g-cRi$U3&@Rp9rng#omsMD?tdVa!t{(er@l29`&)k{7dM
zz?n10FMlZ>!@lwVM>U_=zydECPDeFrfn%lWF*D;SEcmK2+8;>(&-Z(eaqQ88$%KU*
zA?F$F<6g?=6cr}0<RbRp`9_ENQ?ve`S!c1qSu<A{WdeJ0gq5l<9lkOf`%S!<!{`UP
z2aYr|!z+G*aq&D2z7gNPyW=;Hwf)hva&2dUOg05)gX=Wdz4rHF9&r)d>%E;XcbOGD
z)|2AulxVPUSVN_HX$iBpr})TNu>;NbOI6E7P2fq0THoKlf;G!bPj$cM0I8UVaemcQ
z*dg8fre$yqn`mjw-R{5%+fUcqrtnaqTZ*~Al68}Z>%~in65Nm!)^Y9mVG0!PR?hP#
zGXdw>8QNtYUZB1ytCN4L0UxX8@+5qj;YxFP0>1h0t%zcBIH{-s^|91%Pb*kJ8=rh;
zT`vIr%te#dN$S9(%NH)7&IY@7pWCw{C<Lin*^EN@)nTgEe0X~WI|wET$!DAw22&Qj
zjejX*V13!ibj^PYh~3hW4`UaFsJ&dF|0rZgYPKdynRCI@0sFRJFU26?Bq^h(jRfdc
z6-$sA4_sR-jxoO`0n$_3^W9@fAb8{HJNe^$pqnhnK7U0DzEl|O4ckqE1t$|<e{TV>
zHS^Rrf4UXY4!zlTg+c=Uz$hBAP!M|8`Y3cJIWV$(WNNNR0=G5=xg36BNY)f>FRhY?
z&S~PAK{^R`e&R<j<3(U5aAh%CN)h%1vZctllYnOQvW}N71|=8woRYh)1Ojn!iK@jU
z*c0V^N9V6N<U1YNE-tJBxOO$)dlDHMR9!IdPDyZKc^*SAR)w67diCusWC)LX+u;6P
z8uovu5OlnVkYO8Xc{NuZbOzGOoLFUHUFsYuTZIgSjWXGnWg0-2W8?p%CJzp4YdJx)
z>cHeI%W1|*1-t1xgqMdDpe`z?t@u3!lEpl-Z$8w7cU3u(`?C}wQd=})cakRbSO|ty
zBN}WgZ;IbPs{|y!yKMe>G<fE*hsNAZhtT_ZyZ70vfNQqnq{>-3+?Nbh6qjLu;`y^}
zT~Ab@fcdsy0Zj`E17;K~<FuidQ$|vblL$fTypnYdTA*YtWx^t_3-Iu}jHVk2oCTC$
z=jt-RH7{*XT(=(7zrCr@nneZ&ucqbTlMFEIH|6krVF32n58JvXb=c)w?I?4c0d9H6
z_7F3T;JJ?tL9SB+l22OBI;$|CRo*E2UWy46Cu=CYEuui<ix=#VZ)-uSXz%Tfs~AKl
zP?i7frouIW_R@V7bWjX>p0@EEAo|glLFX4#m@iv6q<D`8gP$YP0^`iUWr{n*ZIjpA
zl-j>1ouz`qlvmVw8*_+VA+eG(si6KqLF@DZb=Wp{<zx1sIlK+H+1{^4h1@~=#hFDl
z_*1j4bLfBtG(PlB9`>QYQE4CKAF2$$7dg(K%C&&U=1J#^+&AxusqU`+KY4g0bof7|
zMhmF3xm{=@uMVWnj(kOuG>E4N5B&aU0UTF&KfWm<L7N+4*X|!8u&0l?Yjm^Dfr?Ty
zJ#iugmkwvKI`Y9lMbWjW&Ai^r!dYbFqYAIj;<Wv{SfRRDjT9_o0kS#MdaBvVU^Meb
z^!LRD%=)OHP}mc5$n2nv$@VA$vGb3DRNMge(vgL)S>GIH+Y}e|wkp7nE1-&ItMFfr
zdEOJ1W}s?n1mmA%;Y9heHR1LU-r##(G2F}yIP$jz-HVn6dEV`d;pD%#fMlM5RSf`X
zw-)mO9|>qIkSO({FW~W3glCRc09{E1Y?fi75RToos4ZH?orhOH@}^=it@;XMeJ=z%
z;zl{WCRXt~!MsM{1*Q;W&97^0EdbolzK)!ut>cr-Y2w4RCXnG@`KytM2Q*8#rOQgz
zaiQSwo|0i>7|lN+cBG#JQ2y&ba*x+>xvO;50U={Rw14RpL{><jKj(BxdmS(Ca@}iS
zWdzv7%i<rc1lW1<!^&9X8h$swOk{tQA?RA%G+cPHf|)*Jb|Yr5;%!+1W1njbAZyF(
z8<DQ_*l>H882{@P+zG<!)p-rzWn0Qs+M^jvty&<w{KGOnu6w(C;h;Wn3$$PUGCYbM
zj}v%rHL`@C=#!WIRH6q8L)BZpMEt^nuAKjSS8fT9?lHWvjZY6U@{h9ce*K2Ir*m=>
zf){aZb^ULGCv>4@@RFE~TO(%Rr>}yKE#L~i(X`(kI?yN;taLu42rH8q>ADrSfd8$W
zzIXxCfxJ{Dr(eCL_!sdMEf&WGJi}vmL{5=5oVk^sTKe!4p7?a~R+rTRF72Ouo1~}>
zXCEA41i5$OS=E=4Oph$!bSs60zPk)4=Ekpd+5f;7dCy)JD_y`7A4yl_iZUSmzQ|DY
z!G2u9Q<_tfzK9297RVn?)`Dn0<%8VrgE%LzpD@#pMLf&7ig!Xn3mOH@IJaZNxN+Fs
z)cjXV_~OF@=|&lJkUbu*{fm7R4?FtyoNDzl&LetvR9~GA2Y8-;kFFla#||EE{kpM&
ztBsG2eJQ5_HNB*mHDU@U9DY<78MKC*bfw2|+tEO*MK#S{eg?0YiQu%7+~nD@tpS-e
znlL*U{yyybU;NHw{*mEu0*d>)_{w&k3foS&4HvU+a%-truH1DdRFl-~Ax5J@S-sp`
zc>F)y#&Y*Q<#J}!;rg&vB8URh59|)^V=UlZZ=9VZI9ZWN=B=#2at+X+sP$COEaH_}
z#gzdOY^caiK){ky1B#B{PO$sDjNi$JcY_ifNHZ$#eW$xRs1(Q1bJ|yNAwB-4)SfLU
zUQl)FG$I2ZbvQkruz{cZIT5?m%7v~D#@x6<Btt|LhqZnY0qMpY-D{oaL3dw2z3|^%
z609!f%B#;ap;5<?qgH$Pkv-dCTe1iV?gcyCWN~FdI$6FK#{LSR{2JQ^mAgc+5WM11
zyUE*z=Rl(Hpb)w<pwSUT+T>7NK0D(oJKF85lN0(!7~P4e;L)j5gI|R2f7YD0puOhY
zZ`M*p(ebW<pKT}Az^tUPKX@k>;+lQO;0_W;rG^V%|B=-oV5~m7C71{8O|cjYIxUHK
z7efQm=2fAzC8vY6i4PSEw4Ghbl18VC=u`4vRKZ9p&pG9(03vMBmNsXWMJLNnwCrhA
zg^aa}c9nucNb}2zON*^MGHKW!8TvyNj2E{~@FfeQl;hfBL4^uP^g*eQ7nd4PG9O<~
zFc3vOb02=*Bq^bel>F?N18VU2CV@z15=Ub<9gS40lu>hm&d}dhH89fHS{*(ifuhpw
zhk{S3qO99rW4uF&An3a#y<tNNvFtgkUS>o@wkPX+Om>o>H#>g1Twez9B>+}HslRQZ
z^+}SEmJaj5Q|@G7-*#G@mMVuH8=sNX-=cxcem5<6y;KK`^6mF|J_VHSI~>AJprR7~
zo6Yz3Z0hINqxZ(1ipZgy^OeS;CQ?vGBW{=`Fb3qMG~X+s_9L&d{QlCA-R)Un!D<?~
z8GoXPYpbC3vgyvm?{qYv`)<%xNDD}^@!DYps^|>Af#LHaEp)v>F1Rp(0q>E*aHt{?
zSzeQvyyUUTrw3j0u}vS?k$G6L=r##CzdW$s`G<k5mtH$}iT~ecyr;G;l970A?jI2Y
zZIsKHA0UewK%iBggph>>ata<X18Z$G_e0nvnqma)4Q*><M=6_q{QD!srH$-mB$P57
zO(2Q44VijSQDf@iOS{f9(9FIjlFS(lGHHSzYh^Uig-BMxwNxz>eYcG%w;Eu}QR6DV
zWKDEm<XWhMFCEF%GG)4ynn8`f_X`@*ME<QbRk^R4Ncn@n#{M{SxD(Y;B6wF5@$R5`
zQBG>04~g&Cz8YA7t9gNctgI#y&EG+dDkCE6r={U$l@`#NdP%I?fr=K-1WBoXQ${ke
zNiAPQEWrs5%1s+l(6#o2vh&OG=t(eNVUvj^P;z>P+6UCpk|+!?qNPxWT0;nru_YA#
zyphrGKt{2pELn@2x)b}z#+JBQN6lO1Oh+maonlhF{_GVO65&d;de&qC>gl6LK3A!t
zjhw!r)uIi&vM~F%QJ@7lwQ_~Ub}OTdw3}0Imqu}azncNWtL6~!e#RhqQW2FEzKc5k
zq!M!u54Wj^GzYWJl}MH?3TTvz@;hH@9IJUo&iJ%q22Px#A`CZKWbG?^Tr+e5^FfGR
zHN*_ax%qFBI;7Brnh4P?(d*cYg%<OcNr0`<vPJRX;%FyRUwv=`6PzXFiVPhC(0#~a
z<9|>DX)hORRYkIZ=un1iawi6hqf+mlo)JVDmu?d;B(Q>jOn_QKk16c4*m`)|Ltdny
zu<yB#5*v7&&e6RvV*(Z}`xS22Z$WpzZf~D+W&@<aPP@cs0tZ<pT4TLg(V$>zK(r+r
zaFx&nd~}TAzGZ2v$4LTu!o8fD&c+5+8sluwe2m}%MW}POehJq$(JN1R!U`2PDLO6b
zh7i1bATc>`79VUa_2S*e3U@zN*pd4TU|?`W$m!}BuAplf68)0}Vn2-w5lIFxX>G$&
z<KK@jFukt*9l-(*2I86x&*{TXH*<N1&!6!g!MCQol+Ahd%O!uc=mA__rZhFh;4&AJ
z2Nb56!LG^IsaQh~EMg~yv;99|;&hgms~?#mg5r38+bvxvJ-y%I_VaG6g3UKI1Th28
z8u!%B1s!lvlBMt){KED#PDkamF+;k*+o5aTIzTFX+Ub_^2fJ&#@3;&L3kX_lxZ+>5
zLG>sh(C_*Lw*S0Cm9QfVupAJSuCdpKd!B`UZ$)RYf2wx=*J@axzS^Vy)Q8QSeOb)R
zYc-1%+yfCmXI2<(Z&`V1%K*lQA`uz)e;7nS%soyvuuJHEdbU{$ZXZ^QeiE>N?Frj$
zCg0BnetprMFI}`?XR0&zm(xpF-iIV%nV;-Hd~kBV-)}lhYCAU2B33Y4?l!OA>l|Q{
zy4&>L89H3p{qgM2TWeU!Z?|#|8%~fs`a$9VA01NmpP*%xY+yQz_9KoJTo96fq#EVZ
zAmuYDdgC7f*3U9g`&@W{KU&vu#+C+(eT{kw3d|7jEo(cE5+CsDI@M|SXoBMCU-9Nc
zEFeuk>1xI=0L?}Xnp0YuumG<p;?G#&!?#=QX{v&N1@dv`CQ@O0&4do01Uvi>00960
z6qk88)NdEY6CwLHW9-`)yKFPYI=4i!rG-$DviyWXC`F+K$x@L*B}Ju0BBAvCMrBJ;
z*-J?)k)l$Ociw-`b*|@n&h?z<zVA<B*p|m8K2nghHhv)e&j79Q^dIeo0+96^3TwI~
zjgE(GcbPZ?RKGCMj<s2gWFcCSrYr?~&uRp3{nf{pn@?J776`*3d)eM)WmGtMt<7WQ
z=tCvWbH&z=BDj8ku0`6LhO_E_qA5&$Ob4=8y8je|%`OqEWJ7s4%;fn=ebGb9p-OG~
zNeT4)qbLOEDT0+|z1Hfs9v1(;e`UjCN$h_8Ds8QYGP)n$8=pR@hZuwP(|hEkv2>B7
z+}f3@i0t*a&YP=;RX+};C@0Hc%Ej$-ZiX6^+sZO>ujt{}=-y8c_^7z7OZo5jOLerg
z)mGS#=%L5>s99sFEM$tQy3+P^=+ndIRXF;Xy*oqG43Yz9-CS$uT}`CCI23ZZNguBE
z<G%{*6|ka=+3)V81=*uVU7KSKpj{Ur?rNums@j0x=iX`~NQ?cT%GVG=4Jp<)Hmcym
z>CyDUR9$43I%W3mT!O*gpX%4!RS~g&<L3-xee9$r$gc=B!i?^A<99#Qut$q0UZCFq
z>yDlunl?AaHSdaVX?hwsUj(0;m?bFK`RuKjt_d8rd?a6m(jnhk$9Fox2;W1bq{Qq@
zaeddndG<9;urnxU3-yiBIC0)FJkbnKc|39^CK=eFsbtsIXbhoj!GPsMOawk!Mc6OV
z#^0N})#h0y*!7_xaDJ0Hc8wnCiV4txm2y$`P?8A-wFfnZ7Fa-Uc;wWxeYy}o=_?g=
z(gfX7z2*HimQdc9mp7NJhi|X8UmJ=uL51JNqX*-y(Nt_2Y3HwxUw^ATII<=v(3HOG
zXk&|w^<vTD;s!Wn^1V1{r!iU-W+!^4IdHY0r{<&^V8;!2@#K?67&AC@QKS`EXQ;W{
zuEhZB=T1()`)3F~ov|1B`|WU}uHX6KBLmp(NNEiZ)ki@ow0bp`qDez_N-@O%{Jw|g
zZ>H*Cc;M0g*B6$eDEQIat=#=Rzk!-57|XyCPDDl$uRWr6l>Scm|DIku)3o1R1MVZw
zo%h+=Bf$T_+8(AJf@CO1!;DmMsWhtam>0L-r^<05pDz5O`XqWn<e_!9W{sx1J!S=c
z?<}~ijkXBqn)?GX(6=1FHLh)sf7!PtiVd}}f!wgQ=bAY3g0cs<k1a*)Y@W~SGnyz_
z{(R-DL4Ir#8Wv41Sc>DL&G**v(vj^G*k4)jkE1imWWKUo3Jo&Ys3%Yz+9tv54YS`k
zRh9AVzD_$7=c{cM=I&KVrTQtu4?`Tg{`o$GO?D{I+1LGOmogTt4rB2?I!UCy5f&OB
z0}{?u@=xtiK;*PT$lJgHB8X;iZdV+zNvkW=@gfb8`pE@j-X93#PI>neJV2E9sw&C?
zDkyPIC%lO-M5g}DM?y**=suzCyO=HwLtBe)_oF6>szZtmM%K1aXP1f}bdbcGgO5{d
z3%?PlZ-^=kut8kE{qy_~F|2D&mcJ|hoj7aLFwvfAjg0ws%%5dKh!dk#zn}R=#5shk
zd?BrHV1<lAw1WU@>SIOY_Ix9<1D}kK{jo$h^>dY~Egz^RA+z4MCW-h-0jGQ`OI)2=
z=joWigL8Ld&CVo#B|^??$dsj6;AGsnubyuII0BJLXI#9-iP_3J>*l9yOm6OOy(9gH
zGZ4wjeknCZ{5}2l$3=BEUT?1W{$j&Vj`v6M)0(zV1Vtd6HM83sUCa2T7AQ_}99^<_
zpJsj_)|Q+yi|AwF*{b3`C5K7Q1<yUgMWOGARomaDHCnQ;I4CJR`qUWbX2igZUhrEY
zTCh8^{u~qE0<E-`dVJ*YXEhucPJ2TfV-y@#5@kYh%_wcWV1#q;G&OYJ<yVAE65&{%
zV1`^OBRVkT4M(eA|G%Gk1H}HxWQ)K_Q!L_(y?5AokV6TZd@<6~OPq^q44Mit#WdrT
z;>nC24o7&}o3^!^aPv?<YCmFvw9A4n`*uF#40KhdP+XrA=Uk#Mn{GA%|A7+G;PDR5
zwiOqA(sy+c-Xh($rSFX4m~VWt>{Bzx<EhE1jonX)Hq9BSgssN-_WHoJ4|f_lrZQ?9
zmsoWW13VIUPfr<vKYWu~LgrmgtwQ$Q7Fs*O8x`pDZJ!Ya=Cs@o_E&RW(d}0B2euL`
z+dq5xiyL7{fBKE!wO2XsXV#X~QCo=I#P;1K_DjH`E_1WGRLn^nyRiH?qnQXbJ1@6o
zn;|TDcqp0~>6{BYy;kndd_?rbjoS2{F+g9;Nj27FERiG^oSxwDh!FP>QR{u755-$c
za^HN+BZzF}KbKZKB7TUp`dLfpBbehmpA=O>sPxJ#mOAl>pdP>0KkT80@}KR?b+=q5
zj3=^OA8R!eWYNRY^CxtX&^Oj$K3PFn{uJLiHrq@z$Ss-i8`eR|F`u#?r7Ggf<KKmQ
zWm*ZrCmHhJjdZZojWT}7q=wk-c>UgyZEXba&b$EYgW6C{dvPRnSsl@@ur5qW<S`Na
zX*EN6NDJbpRt6{q+$BWLo&CDtYX@N#Ty%ez6}K+2I+DyKh_6ZZ-72D;#C*=fbi>mO
z+|K#2ydw5KVV=|Yx!0+S*!L#rnK~~6q8B~AUD-`UMtb1^xogjeM~l5DEFv`V$t+}I
zPWB-o?C~IO!1@J|dyiq}Gf2k(IkU4+zL~h5_*J0jZ#S{H#cENA8y$5by7LUjR-&7w
zXR>3wm!NK1-sjw;fis^<^ga}~6YZSj2U4;F#9aCA<>S^G&_BIl;U42BgjJhgc5mWK
zBEfpS2D@GzH;Z!r+q<um;4S`3_GrB(QlDvOP_5L_UuWKzCislV$<TBEB|1!e-5??o
zOQ=CIlQ)I0_BnB?%=Xon8*d5q>0>Q+%ei&^x0QR2brU{*wFlLc-w`&VYs<r*sbXNm
z0o~D}USd(YaA?f_4@A7PO!3D}s_2ScuG;akpNPD+dfV!TPlV^t!5+8wDj0~gO*iv?
zNmPu-sdk!;5p<I~3+%;J@b)0{Z#U&N@jKvDOwHst(H+E|E8!@kEMn#59I;{Iz_+wc
zmxM{8#Pn=hXq*!Kvl=V(?z|=H8yNY~y59-M;N@<GRf?#&*A=!Z?;UaJ4wZR8V4B#w
zPP}~iF9kfQRr)Ab@_|6tt;&0}pM;Uw;Jd?i3NR4${B8J=t1pJ19cH%75QnozhI5X|
zgSEY4^yStu!gr2(xZ>*{!j;;%_vEM?!f2~+)6FJ`9m^gpP->bZ;xusk*9tit$js*d
zuXK|5YrWx@`i=!;<gfjWs+BZU6^Umwt^ZE=dYv~AG+sz1OPmV0q)I~*?+>AAyJ_M_
zVdQT;RX%e1Zv6$fQ?gJwO%L(d_>+id-Mhl$$WJaV*t3UMQ5IwCRT>{u%@CdOwA>??
z1j(B&BC)fVsSqklz4FH8FTt6L=?QfgCKX>N>C`QwB5kuu<$L{qL=8=)wa-?JbRy~p
z<R&P1pWiyYwPFGJH%oED8&ZOFldSu`;}Qi?SBpmxyO7L?Y_RChmLgr^I~1<QQ4n^#
zc2!$AA1N~SxawPu4CxaU+32}}f@KvmgnJ=BnH1)gC*DdWrN;UP`ZiMV=ZgQobpFL;
z3a#dxr;QxBuq~wFOcDieJ_*E@R|}Kvv;abQN`c(IKkJcWI|ci*zx`TqRgBcgyKyo8
zt1`)Qz9ll^Kt+nThxL*_668+nABDXNYUHv=wJz&FRJ^$Bdr`biiX6-PO_BekPD;3b
zp{q>G;^fN*TOwLz$hg0h$1X#3^8D20H5csU@bSkP+rht7GJJKtP}n?!w7e;OYu}VS
zPF|wExEv@)3i4cC>FA<EmTYP<wop<+mht1O7x@**7M|;xzX&~&8vE+Tif$Fm$DZtL
z8&M{IseHO(>0?MPIq|+_Ux6At*KfJt|4)@<B$j49Pc<Ux8#~#2S2f@o`Y=-Ok~&$a
zJ@s~Y%$R)gpYi580|wS?a|#NNpp%-<FP={KFePmVKL^ej=)ljE&@6CfkhO(t@8p-8
zkz#?A*`sy(7<S;Rld#k#KgcPsIWfj0+bF|4-@=VhUhFhiVya7?3RZa6%wtX(dut>!
zT1{YbRH)KUU!U}~=Bzs1XHGs4ELd@28x!`b)v;X^LsChbzN6oVP427d^t!N?4fRLW
zjvlX<kRxNtUWc}`$<d&#1#)3l;47~yxK(dN3d^jd)bg{*epflRa)B*Q>`pn=5nxQJ
zmR}I-kuoRazLzjp3<Gk0FGb%C7?b|dFDAQkm}JeR<R*<xOL4eqWfMcmgrw9sbjPHd
zlCSpq+<sYO50d`im5{m#xmGIS^G8Wz^8FsMjIA%0LFB-q&&D5&N$*#uH;x_GCygJs
zzkGki0YX0n7EOg3lbVjBgzF6kdB%0``i(3{L>*)f1yvf6NkziPlv-6uQO`4eCw4gE
z<@%4hJ*i8`YL$P6{_a%rglW(BtWZasx^zgf(93`fDTwFPiwlx9-uBru>W*kKs3~6m
zUYBI=UFdsh^(P|Pm$FU!ngf>lIjIghYm*;0%gHFqedkzCbagJKI^am1a$aVUCi&;d
zkL|`Di}0fQxo5)GW$2rf+wC^4P97-z&*0-bG2C50$6R^K9)8Sq+UH$W$+QhKuR}$o
z(YdRmy8GW!Sc|!eQZp4uQY~cR!3z}BpY7-U=DHNV>5MSbW-6KKdi`4FR#~JypLic|
z-VP?5SbEKBDN=6aSLN;u8Xo_2I&Hychx7*q&&<O_$dMP;qGn6vaNXoko?9gFc~jS#
zf)PIQgS1h^^__C4h@j6}KIP!Zd*^Mgv{_>M?ER__Npe_Nl0|oZZj18giQD(>{7S_6
z@3^xeK#t29|C)`*Y>=`??0|XfGa@LF{ij7&4nvuNzG@U37$zJ|wutEFJYI49-0&z3
zg{PK~4lAwkuwz#p>*yB_T}0w4^(qY=8|R`&^R3YF<i#Oj$Df?b`^^5Z<7g0<lr+g0
zw}c@x<T>y5IZphIh2erLX|N);Z5?#Cgip}a5z1E{OqTC5zidgvvMtU_n(Hm_>=+C2
zJ$%sen18m=nueEelJ-OzSs*ulXX}M{0sOWx$rSda;Y6mzaoq|wigtX;t{Yj5k<+(+
z@TStR`_9f=F)TJ>x64ZYRu;kEw#4xZ&uF;U=iW2@&>Xr&+G9;-VyKhZ)x4A~2dUA5
zmgtS<_^G-%@F`US(et$EkGJLUk6kP9VwQ#fUZtg<7L-I|<qqqhRq~Kncgv7=fdyjK
zowt~h#8tPs=q-E-Xyv~n<F$r`e?wE5Py3}nB<yVs>Qunz4L<R8LM)7ngo+6e(y(l}
zxbkVWB1T#58p&-;EM3xGxT;hJ{j5VN!#9+`jDECc?iiEn`$E^-vM4wkX)}JiNg0U^
z>Hb-POc<z1rY}vTB0+$+247TAC7bGfp2NiMf}T@|mc_z{S!SnlRdL4Xc4jS|iGb}M
zDSX?x@9`t{@;+-dd@+zDJ!P0!JVtLg7$b*-80XC+U(}$z^8J9YI1`)Fes@Iemq*Jn
zq4gyf)X}ubZ9a;^M2mOd0-YiSq(9Cx+_YH(d&VqosA)6tzNfmq?w%r+-kGyYq|=e8
zJ@}<^ITI<{F8>}FRl@8RAuqAdbd>Eb7OIS4!o6L1_??OhG&i5q@8<G!$=ki!rz@Bk
zn&B)AGE{|(qrZYxBm*yApP&!UFfr)a-zCtg3ciikbKDKIpl(q^x$41!(9<h1BRkZv
zWm`+lgJCVK&Gm{<yUoJ4H;0>>XzGYk&f2-)ur{6_&ZkJ|n`1UKFM-vdj-z)f)Kt}V
zAj52=@m83_DZoE2!(RhwQ>!0ImFeKQf@6sxhYgFbMTdLmH1PY#+Ql`Jx+oHT5)nAa
zhPF_~(m#20s9wFXe|D2De$KD{Da7R<o(JP{7d16;>r>0DLXIv<m1|zpj4k1DAn90i
zxh4djQLo)E)P<CEuN?J*B^FKnG#pW5;OzD0j1|eccxOB>LO)}LaJ5b1hte6a2xX^C
z+v;M$U`?f{mo>Z{&hO=a&4AZ7i3HjU9jtk^ui0P72Fnh%dn{Mg!h-I!56kRy;7nx1
zr`@(e<>IXw2`*ajU>NQ9O4G*QPi^F^k1cYFat_)1Yk|%_nICsm3z7$$UT>PPMPC3t
z|F*9ddb@}y-kS_ia$8Q{h~hv}anbf<8*W}6o4mc5%hNQf^~o*692}_3s(me>g%x|n
zFOfUx@QLn{f2hReUthI_m+Bc<>*wEbf0+h?vjprSIo!I%t^1sHT%U|m@--CUa`sl$
zn_E4B<&U@j%zUkhEH-ug%nMaGOis@=`U9)@ZWes-)WnHJZi0bMDhTg(*6sBJEaHm_
zzuo2L>ww6rvkR19DJ9eIv<7I^OkI;LOUKJ=e-AAfl*jz~H`Nn1K$&@5*4_U!pmF`l
z@ry$=&^PeZJWv7J7VAvztWpOr>BxUiLKbQ_6NBrfIM5`S7Uh4`(0L(TB_oD{9Vh-i
zDK6lErmq(#Wv2$8Q+w1(gk@k&@P>!6I1pe*Tw$ei|J(fx4b>hgRCsD=>$TdVN+iqv
zX1NNU?Y^b({h1_=X?m<|Uu%oUGwl}d+?8R}Y<Wa+fh25g2Rj7^xjLM>k$?R{C3IHD
zH_iJ>z-{nX+qR81c+qHmwYOOTM(a|dbnlC!E9L$kuUFQ1nfvf)#yNR-3qF%{QV_?L
zS)1#h*K_y8|Is0hqjJdb?8)zK5W_iBiw?$s70#Fz`*!EkAU7D%l2IZC9g)Ky-+Nmj
zFh=R!wi;RZTgLDwG>PF+aXD?M&l3J!Nm)VTRJ>gEe!_u!ez=kU*K%J=%rKVSd~Z!f
z<etNS)k?)7<a8>lYsdmRJDZmbbA4`V_(*4*p#;8W{Mqy{$O5N#;ESRr1xdF%^G}?W
z04I6a^~+Z_666A=ts7)e6qZ-FpDu}Yz0BZ}L^e7D_2^H-W#GK^ji2&eN#tyxYubo&
z>u*Y&)|$#7bMUEGW{?!LHR=t;O3gtzV?!*LkikP6yFQkxG$g+b-3#KF!|nCIVohEd
zG!-97tR0iaTC@13+#wbMh>0WHx$pOl_sFfGW*MySw7Wf#!orHyMcOyCW#F!Tw6(CB
zf@?ARo!a$TxTzHMU!t!JwoG>>{i~#6udh&d>Psd#G6_U{u?!0H9(!q%vbb)qa6gT!
z+Z#0%OxOP5_Ma2bvwuy4Q2XvHmMfWPfAKD|IfMdsN%gWgad{MJZ%&YwW}@z4;@kXB
z6ij+eCk%KfK&a=U)A1oQsB2a?<s?v%?4sfqab6McSGmnCyJ^OqbB>jyAq(ZZ|M+<Y
zl);}nd;eaR84~@Dd6>MC#htQGWvo3aaR1ft=Uj{#l(t_L4ZBQ3=c1_ktNT>ZKDwc;
zAkYjSN)PD2PL;!)i?pcG3N@U)S^w3~-wfUz=LYq5$>YEzpJ#}iI$X^pyRHP8!PD`e
zbw|7cO4d8quKKEuy+m5F{Vp>s8;~WXk0|2)>YX{ots0mt+n@F+-wa(oF*|72mC(%A
zJ$to`4ij~0BkzZ1P?Hl5yD_AUbw;N1VFxs!-KL;n&%;DMqxJC;F;%3#8MzX=iGe@u
zW`@gLnb=m!cu;y%6}buuw+VACY~Cs@++D`R0&=NK{(3cJ-x)eU5zxlHP{2--1qahm
z_c8%>-23)l{`od-JhENmk)OdrMw;>><}I$DePkcE-KztIFr}K46myLH$=b4o>u3H;
z)MUeybP*)lkZ}3BIYNR~>xhfek+U$lVb6J81at?VAwAis{lfO>y~&-&q)(t;SP!?9
z`)~Lzwm|Upug5f2X=1-|qhP@*J(Qbrsv?^$Q1t7-8Kd`_ppRDh{)*JYXM2}FF`1T_
zd@^gJ7S6!RpA{kA!Ftd+5U1(Q{f~dom2H(7Vc^_H{Xo+t-2Ui^vV6KVc2C?d=PcJk
zaHjN_VVf?pM1PliO<3dR+mJkw6Iy84dyBo!To+%fMQO>EHjs}ozHi>41xIh$3GC8=
z(T!n=U!k@zIQ)EcVpI$3t5aR2bF>k5){_68GzW<nO9#iswQ%%!^WwPuTIg$f3)3qc
zY^GZkrgv+hTdHW`W^V>Qe_ok$nhGer{nycTP761>&8mATnwTvg)~a>^UUrzYCauxJ
z?N-BATv9+#Pry#$7-0X43y<c<xO4rv<meWvj>uYSu5~t0FqnPDGlGF#gR?*8#nh0H
z5Mbea8VITr+$cVv3BOC&ShZ6HnfB|wPM!gxSndzinVPsmQLWARqKL_FmquS52SgmU
zId&w|0k<qSr&M|LKlm*#y%%`?xo$p+dyh_Ax0p2^G*mbj<!<Eq$c~~o+xR(k%my_^
zR=ZI#>$lNtjtR)8z6&!oRmVr^XEQqcW$=#iY`-NxaOi#YV=_byyN_F6+wxrsaswh(
zH;Or^WmG)>cUl$sNfo^-3nf9=^e+(C<6!5LzVM$nRB-PGld~g10>1?-9yMOGMcwSo
z&ps1n+^*O^c7P#{=BAjvjk>ll_M2|@d#H$$&vned)QaMbi;hzBc^kNnd?0ed6yW4F
zm3ifo2zCptb9a@uK|@0As!lC=aC$VOC&q=r`uL2Vn{5pxqe8p)e`(;QU*x<^5=LhF
zlN(q0tZ_DO%WARDvKY3yn9u7gjCJ~Za^rSe;gj&aWa&vNjGUMM@r)LRa!kg@E8i^9
zS2=OZTat?N1!YBPO~PpHNS*kw)e?J8GZ#*}Qs92_)nj2N5v-qB>wW2i1*%8Cj+B?k
zAY|!nCHcQ1xGc7#Zv$8VO^4*fb){sWxBKt1+CEXlrn1F1e`Moy#Yo0jfi(W*{MNhv
zN(@I!^O}Sr*y!GSN^qUEG|Kb4&ouB#;N5QL#FC#}J&&JV-||BW3pg5&G|DBggO!vU
zdB7ay)4Lr`K9T}&7cD6?KoT`(V;%KWb8J6SzhC3J6e9Z5tBiG|(0iU$(0q-B6VrqK
zomZsL*#7;8H;*)i#-l{vtYG2k&`^gIA%!``UX?GOrIE6hUA$_H2{&r0-S&@C*c0y3
zs5~NrNbd(N+qpVl`t|La1iCa>d@CdE#wm#6TNRhb&EdR)wH_m}(zxfc{qAi+SuFaf
z8_Sq7Lvo{5ga4p3%;Vzkjx%Z8{7}@8bIlB$w=CZ_td&7&^rn8-SUH?&^}ph_ovV|Q
zBL02DGHA{oyR@WP9%;)t)DgBB^do$T+!P9IYmcVC&{IU_#3If+Av09Fo)>w|qM~$i
z@V5JTC0HE_PW=Af6w<<$&KLesp~sRw6>Fe^LY8%ILz^j_#wA<Y`(;tQ+>hsTpeo+G
z>8JD7o5D=Jmbs*b2L6Q$u0OC+!^P5_&$Fvdp*O|wKiVpXr7wJ3&&#XByYu@Mi#w)h
zv%Qdf{FOXHol}c*7HD85$=P=Ji76U?T{pVStBA&b(Mfh+G?4AWvm<QM6ru_5p9@(j
zVdLNxSN@lDY-u~odso#Ai!1iMDN9ktNE7X0Lx(1;EE?0VZ8C$h6P+T}uL2L#P{Y=H
z3^<%HwiBo{!ylRd@~zIO;_vHclDym;8|FCa6e-2TPx-b$drvhOe12k4e^eWqZV_uX
z9c1EZ$W~J`33aSJzGC=hm=4xYDSZ{?a+ztj&!ks}I_#xm9F3T|=*dnV_ATb}+GmBx
z(!&}Uy%_yQ@Ut#fWSH$FmYYK*T2HpsfsUU%;?~W{dJw*qrNx>zhqzDscBNT5-erG%
z+xJ@!i`dN(IuF?x_qlWVHaGt#1hgJ+chSd8UZYWPz6Dy8M+bMfGoWUs7?mHbk9U_C
z0hAq<5V-jCsNg#W;x2~Ne-G8i0zSETVyzW^S#7LT{Z9)l*KY62hWg04IIg;ZZ4H;4
z^U8aAwUF|ccgy5GJ($=WUbS7$28D&<4Pr~QQ9dqVc~xEyKLfVCF`cr3MYzueqi}89
za-K{-Yp)BT;I3m`q%Cx!wX5omXhZ9RcI9pxu0M7j`CO35!QQ=(p`EP_vZ|5ik*GF8
zbA$5BqyWu}&&%thwGkN0EHAyoKtSD$7Q+`{Kacvd&s-Z@Q)wo9R%*ig-u^|STz!^#
zIlgkkkQPQ7v%DjoX~2i);vo?NsN;Ah@q}vOKWT}kw{Gf4wc+*B8w9Ebata3e8Ca!$
zK4q>=71QfU+rUpiB>x-b2~!4CJC|--aX}f{t7=|5eFUa>^a^TsYl13bpXt`EfU3zk
zkM=$;ckl!U^K$)qaY68hX)`$}F<xzB+ynRy$A7JVrGfqLW(4gXQ_&meapA#9uFn7L
z$!O-$K&}CM+46HT*kE(NNoy;Ra`}|Yn3_6XhwID-+?GPWU-g^krU327dbctz7aZZc
z+Hg=@68{4L0RR6Kmv=nX?;FPLz4so+I`%ooo}bIeUM+-5yHuz&6pEs(L}n@9(jc;u
zhLsWxg$9zyp4lrZzw`U|d3~Peb3ga%ey;a*1?B$tJZzFcR&C9C(ryK`jKxKJuIGnI
zO7FV!2MOHP3=?&hkjH%Sr;X<scroBwRj<)&iC=g5)Fe*HVt%LZsF?~k^frxWrLDKb
znwW*f<#B0TZfSO@tKfvBvd(HojRi!5zXsJEm%@*r3Z82P93U<q4XjkR!1DLuE>=lN
zm^sh8Dy*<Ww@A@@U8*_M=G`)w+QsqI#4unglO3EJ+$@PTGmP6kv~DaBgL$&eeZ8~n
za4V`PJ$uj$eZBn+efLChW^nyV&mDFYS13zA`eq9LTTDMgpNT;5*@Ev!CJso(Bv0>h
zGR2Ik&|SX~VX!#d*J@7Tz{*`sUZxroJpK4EKuS*-Z({DhDRAe6w>Y=psJ;od+?dK0
z&Ju#V(M*TD0T<j($i3TBY>Z*ah}2j~Aw2kx$F+&z#`N>vXV0~b(eHQZUBM$kXiN+^
zsUGHmPo%+Dr4l1p?(PWA-75&fNxyYhB`>0c6LY>98X+X&c2+i35Eq{nI`32Ghq3YX
zm%=X%v1wJS@Pn`*=At*B-0UlWl_NAO?hS^J8#t&G&LaqEu1>9V`o5wfcmF>_21xNs
zd(SE@2#3M}zd~^#n1`(Rks}SDxO5}`o24M~!dD;v;T6WLtQljwf&q%zHkX}0DM;_P
zL#TkL2+sP5sCqZ(gQ}<&oL4Uhd;PWfcx_QAUNh5TJ*to8cU?uSszT6Bw0^DZErw_L
z<RjL~`WO-PHa~J*2o8so(lXM-arfibx^qADaJBt*eVei{9EAVz-WZZV!M(*s%bR*I
z=YH3q|56x-cJI6P!&wRfomL09_UU2ocVuK96T#uLeAoM5OXJJ2?OajDdT`^H^OH0Y
z#n84}dEA?2QQ7}3XS1*#s%<_Ew+e~jy?fx<qrc_Ac)mH%ewl_pKf^q}F^D6~&RI5i
zivr3n4{p*Lp+Wyqw5%z!1Re`myLdwpzix={8t<opp*y#Km_CR0Kko{4QAoHIbSpM&
zf(FY^do>=}O5uY`q^_`r5|G5eI>e-hi#4aunw^)%E4}&bG7V)|`0?r(ll8Fn?)1Z+
zFEYT`fxuOY3K~PV+g#kL2kDdb<U(UPv<?KH&o@<tZdg)fU#=b+>lCN#AIjr#k{!9<
zRt*xaIc1K2^iXo~2RS%X0S|_gD4H&0{8ia5mc36Oo<mm*<NOt28a0vW<)V&Z-88>T
zL;4th9rH9;n}mJOx0xqF1DnR?TaJes;Ok=4ZHK=ke7JBhZM~8v6kTE_4=Na9a{{ft
z?Sm4=`@TJmpVWkSV9Cp+PD4z}m_G>1R>lIy(JR&0wXiD3&LWs+gc;v9W7EAV@LEX8
zrz&eBzB1E}F~%5%j^X}~)l~7`UMSijQX5QL*MdBbnt;ali|qJA6|9#WRND%*vDK$r
z^!Wi(O!x>)$(&b1M|a?p#9P{Mbc|2a-ERiZcQk%mQ8GqM`(GaO)dp|8iN)A{b2!W1
zaUV<~gUM3U&ZR>O%ee)2llEGmfWqdye~OH1|KgY>aV^x}4)@;gYl(|m@0RaU)G>4V
z{7|usCIs$O6ZfnLl&NeFl~}KiWuxIjnQ?XO%jB%@<OIq!QO@eFj;ZDith6{X8awU9
z9rglzruR1dr>>3=E4}$HCN*SzR*GgV2h_w<U8H--aBQwgjNGmQ$^mjt><pk}pP%^f
z1R2}5aW!}sDB+}7{GKscD>MvhuU?p--*>N!+>04SkeyS6`;D#O>O9ByV4WJyyJyNI
zStx)?tM_TLwnD7@w%N95RebEfV9ZICMQhet_a$>HxO8Y*+Lfw6YH`V~OjHUlcm@p*
zs9AxZJ5(^DNg49|KPP`1h~t8ab`UqK6|NhP^2>B7VY}`1Ip*ska7uFHFl`6U1S}}t
z8z5nF-`*xKCm}R>$<=<y0ff}TUhEuG#F;yCzs>9f;D7a1K&n3wG+?*GbVdPZP8^yK
zl;K4`o2itgG%(b@an|;?JlryVvN;o6@EurZaO*Y!Q+H2OC3!h01SG_!O|aw6d9nYj
zI0!_F67EahGRTv5qP>u0LyeSX(X9iPIANRhDer+4R0PKViB_^8G3s`3?i&lJeN4Tn
zBQ6P*Sgs4_>X{Mbeq`mNss-xgea7zmCyu`_W}_4|n9+GG+;VHQITT4;N&6hcP|+#>
zrRpaWX#N9Cwu5H4ciTW)hhG#+&00dd-AuS8_`KH2-VBb*jYr7~!Z>cU5;!Em43=D%
z{E-4vq}MB(Nv;Ut-`OG6^|8#*`TXZhp0FvHMP?ob$qGUG2<1!ynFZ$>hI-l}Oki<k
zuw&~sK~xoI*s;y9K%p&iZ^bWT{7L^WdZJPQi@q}+PTj01|8bTG^EXDpR!f4%Kmbbl
z4mlGOY`FV5v1L=c5i0wbE$x%}QS#eV_lOh++D9k-_iZqO#hZE=!*M>i)rEJ__Hcqb
zC4lo=t08nYD~2>3=fnQ4tQ@B%E<6vC7H!^ah&WQ~q?j%r?xbk;opk3x^aHV#;BEs5
zZwjp1Aj*fG4I<85Q@q$e-@r9?&;VIGS{^K@^5L9;oBW3Yeh4iLt_1wkhw8_m^hZ1S
z;JtT>@ANAH7>rzX)lApN_h(P8MmF+6yyWCtmO4SWZe3R$pr?=1-g$}{oA{w#)o>%Q
zSqMd1d=HMc>7kgTu(g6k0FT#iseCpijF1cb85w8wKvPsu={YKZ%t@N?3P}`er8ZTj
zx_Y1rrP$QY3*b{`_d1sVF=Qy)6}=y%A<N@L<l#6$3~=Y<y>Af5v#U=e-{sOkB@4z#
z=nG*j*Kj(<L=t39Qheh98qT^OCNs|pVW5S9_1G&Z>^`^C@PIK5JD9~covjx}>B`^J
zzI$ZwZ;G0KK!Aom4XzKv1@w0kd!5umpWm2c|D3MPQeh?B@?U12C<=A>)%fS+!SFuh
z+&~W%9ri_BL(jz^d-Qnr@hJtE@m)4``bNd3HvV|QesTCUn-zJ|-+LEx-2FlN_dTI8
z)8>kjNaZsX4E;yK`&6yG;dv@v*t3iJ(tXiek8#~PQDsms6{V$0(%>L%A}`k?jgV86
z<*NoNI2X|N(bAoUfyo`z{;jg0)rJ44^;N}p=dvKn3>um%7qhNU%Rxx9AbwA@8U_f5
zguz)F4hFoL_~xVlGHd))ZxI=yeXdTyyY!%Y>PA|aiXsjhrA=0TR>yaj-u2U?dblrj
z)4P_9gez(XrZOirka{!2Mem|Mew&B?shc2y%JW;w{I@3dd39#qF*Cpxk?wTeuSysx
zH~XGCp#^S5n>7t~Lj?bd{AXCLjJ+}?UcE20k=a)w%`$2THVf8Wmu{)xI7hYB=wTiF
zk{PuAug3^Rn;ltwB2<yL>BNtX<2pF>b+I#Q#2Af9(<~?4)v)DNZH6RO7xf;wnpzB|
z5Rt6x-5@|l<xGACudyy}pUHO>BAMZt)QdEuDl#e-_&=Ul(E;z;_oqb;=9oA1XFuqs
z4i$~xbq_*x;KNSj-#Ki7{RMV>hhM6L`+e!RjJw+4zS#bcG0qaxw3-wH5e-b$G$d&x
zX(9jc_S2c^1hiG^%0uXU9Wy;lJ8h^5@6Wpr=-UChe+3#o*lIv^@|<CDt~!j<M<U|N
z0A)Mh6gCA7I4QKAy4kCSM4F@GJzgv5=}%~?d{RgH4xvK|e^oHcCw(({vlaLr_?VsY
zQ^&T2uNj6c%CP3$qNo~ch0U8ic3!F@!!?>)Rf?5_hrX98MDnbV^^Hwwo`nosX~ux{
zybAdCvcKkgnH6e}PHr{TR6|1fI`iiBGIT$re5v4p6<YN(H;0<2;=_Ci>*H4vXt3X~
zXqjw<eLGoJ$@DpMj9`wrd{z|9JDOaJ_FLh_J~5_tC1uPqn79@s2_d{ilHFR*3c3<A
z(qmjonCjlOYsVZv=9}6>oaO+>%3nOeQ;JYg2z2s@;KpsGU!H3ZfGg7NG0R^S@L6wl
z;A9m$NUmIu_WRM-&x*>fT#$$6pq(7|T^1bm*KhKmbJ^<J>)!leSvb9^-|$eA3C|j{
zg~Rp|5V?7Hc5jF@niqDz?zCdSp{pV)Llu?~zZZDOFI5r;l}O=QC4UKBJ&rR&td=l6
z%qgDoSsbP}tX2!ESBadQTsz^-7DzFyTjtgmgHBuAuHBbc2)U)U*4uZ@QD8FD@vA}v
zoZe!jr)(>PY8>yWuw^rdwb~El_z6S2;pyN9-W6gX$T`=+%?z%ma`wzB3&F;Y?^<W#
z3gM!1iRJ8lQ`nK}Gzoq|n0;|dG6<pn_uu~Fqbzj39Eh&HC?x=C-G)bYrGJRmK41C$
z_L$%!zvzN|JRcejpMLf={zn|Uob%KFoiUzKLu*E5c`?@+I~TaNMu^{u-F;2Z7=?Gd
z($9`@qrC6Koug|Ect~2(lDcJtcK=gR6Ti4Htn^j-o&*yDYSusdC1ivLE?O3@DqPsj
zX1f^g$PAOnK|RG-Lj<lb(-}zQ#NiGPM!jSf6#4XAtYbFB^*PsavI-}9EaRW-oMHv>
z-hin)$^eU`@I#+QIPmMsd(Eib><H2QayOQZzAiRG?QP?L`_k=Skuw~a58&O{by*(+
zQwe^ze{taTk)+Bu8C=je*!_J@S|8SomQ9Z|IdQT@>Je!R5A<%zi!MCWLyn202J010
z?ET7=T4uxtPSWeYJnQrzetQ0CyCfGjOp}~v>HTy0V6b$gmj+EYELFYXLhv|6fvPEp
zdlr|;d(P9K68D@)&E`g!QLGEIn-D0}I!=8}8op3>MqW(gfp^!se<K%!(RgxD&Xlg(
zH||>qv6s`i7?QdxuvG*xT^vJwiBz2X>Kk9b%!mKxMi-R~#L%cvvQ*$mMN_z!jVDb2
zyWctxX{F*=61nE7#!E$ckNdfxKXiWmo(#5dkc2RMz|h|g3dn-F%p1Q8;)qy+L+FYW
zrpOE{GY=`K;AB^ROy}iu%CG&$-^yS$r}JlT0tFrCtU@<*3L{j>_LxM49O^5`ZtqS|
zur=Vc>hP)vyxl!nLi`o5a6fX_n?n?oi#?QArq`FWAT~D_qKKtemBP}&6l9mCGTn|5
zN5^st)g+UIDy^cEN>LQdxY5K~rzLPs>)P0bw@OHyEWW(!4h4rpAF~Y|lfq-24xeOp
z6%d&YFHY0zpL+O$=@q{WHm9+q9`jJe(^45Xc?BvGTpAdDypn}ZU0l)WTWavg^QaRJ
zr{egdH67U`d2Aof9_3vk!(`BQo%jqDH0uo~d!8s@*G?X#1Q!jM{x0rr4yQrg_4}=~
zQboK<TQ;X;YeIkaP|8DPJupuUJsd3~!H?~s-&(g8u4uJRy&lp-xCw(_%rkm^`Q&Tg
z$fE<@<IJjg_4??P6?P7NsSFQKPGfx;U07T07}BUQz&UA=eDXULya|o`9mPn&k-Wuj
z!%v3b8hQQHqe&GqA>X47eE;8<n(&l=MtB)}&6THK4JU-OeO{$e;B(+$#bd$*GN+!}
zju()j{NBVtppXKIe3o@ZS4?sD9GjP9ggO%3Zyv17qF~4MnwPTUX5g6kLZs_!z_a$G
zd@}v~FbFF7*jr$mQI<r+TMgLn-DEM_qYK3_Hj9dEODvXfDQq*+1Ve{i{H-D#I8J;i
zo9!ha>rl5oDO3}xGp>$SWNqwun?M<f0kU=mv?nHLB0|RWqot=Nf=TbDI=QW&^8Syq
zO`s;47CA00tWyUAX}n%N%nDww&vTi`X~MxrCa{%V4O06DV#L2%fxC30f6)yMXjQkY
zN);(%aJqhxLDU+p7d*OSr_|xC_?jo(nS_YN=nsKr)>wFcYLAwLIxg?FG;th|2jMg$
z#OY{_I)U~uvMd=b6EzPFcS&PpL^vggu*Q?|$6O;UYG|oZ{Psy(9K6N$yVn$~!8sVv
z?9`@$HIdZkc3#5Rdirxp(zF#mBq-F`XDXv@xAu-_?fj6jycnlbY6T_tzY$sMm2kf;
zf;QF1iDcW2+#`FeP%qTze1?NQ-{0CZ=2}?b{$H$Rrl1uVzJ&9JzEr@x+3eAlEV@p9
zVov=~0W@X0h2G(i2lw&k9!IvV5U2T7QlEMOu>+4XzURu|gpBU{_`manN1|N3+XR7^
z{ijBr_({QIIFaGQ@HCNP;-w>`M&OOVduzRs1Y9S(uHG6PCt@`-&Q0&Ignf&osJyWl
zoVQ=<2^$+GPFEXG#^1Dn=M>E&ce@C7i~LonyfR267j^#T>o!MVM?<xIu@D?|P8=bn
z3=n2k$L!ZBnnO+7@=>&^AZCy5aw;zwAQlrx|CZA8vb(dv6G|LE;HILqRxwC~TsmEQ
zyWA8me-yoRgn2O&C=xz*a+pxF%@QJ5P4RL2<oSjHE_jItdhGu=O87HIhot(Lpg=#r
z&vKOm(bt6%g0m-xLfwkUoN{A)5M+@_-@uL-`y#h%@1_V*^>2?h2pfZ`>P~6#5GyX+
zZHi6Jogw=EJ<z{?!U$Vh<`_>tV!@``6QqKuIYRHqc9Y%RbRQ@uab=~P83J;$dF~Ml
z#PI#ij#*BII5Tj%@Z2yHb}CM13#Bd*3z^Sfs8t%^5I^-wx;+yTO3SMFU;QSY@Lm77
zrfUG#v(ckcpBN!^?X^KE_aEZX`!zYye0?;x+0@uxU___XQO~fTe?&riz~=3$`dBMF
ze(1h0Bh2}qUpRJ(0c{}xM?3H9;r$Vb6Z)QvNdM=0|JqwdJibzHbWvLmm-#9AW=9!u
zS**2JN1GYel1y0#pU@CkXeJX-#E4;y-=x!Yf1<YD#rEnt8n{YdZGXeb1i#bD-*^nz
za6PczQJ{m0mbf^|)ALMtuw|j|NjE!gE+vhv22!E5xwvmeni*%ZiUcp+<piamCiNs2
z6<dCuD~$Za40E4@l`j*x@kYNxsOSL&CE-EC_4ipY;zj$~m%$6^59teE+$kXGuDR~Z
zW<}LmTc-4P{IJXo3HO`V#TH>}9sg1`B%<ZCpNJr|{9W=yHt8aL?b@lSVRo!ny=|cG
zD+D+4p9`tAI^egt6?x5y6C&qAr(RbIL-^5;f_ftzJZdp9BfsE+ifmZKMq^R<YqZNe
zuhxc<X42K{Jv=BoQ0KJtNeo2KxBjXP+DIgxB+>NwVDU}jV@sk0<p1d$cVE_m@Y4gX
z8sY-zY5!s}9v}q<=7b`{5-r5~Z>KoYIV~DTm}nf50VO16V^o+HE(-XUz4a1;Q3F>t
z<*FRg`3_d5ZP&tmxvzyxH|e>tA?bBaumWbDB^y)xw7}DJG}d}e1SF<=dtwR{VN-iD
zD&)8pCabjlUWAFEDc#-HeuV_nFV`d{i?l#1`rUI$TmsAqDYv)!DPwfhQ~fHBHvSS5
z@q1e&!8U6Ya<fGRpE~}q)TL-cc%=UKtNYT(wb%CL-mHcs3zI~OoenGxHqKqVA&ZtT
zx%YF1$e<nZ4(!p?#V%&6`mqvuc;!6)ClRTEuq)MC$CW8?tT6~8O)H=&Xy{9goEB_e
zad2t0Qc%M~?mZ|%!js?Q|FoZKqc7`Uj?Yah)_!SRb+l1J<IX$^#a0&*?eE`@B+{VD
zYRL2}R2lX^4hw#zb3|DEVHw9QJw&a{CfzGnfr0(=fi@;8MxMvFPq*vir<eV{)=5=V
zvD9|-BvH}H|6h6})ey{M_m|$0$mqS`$f>(ZMak`^*6{~MXf*G8zUrus<Oac|QF9tv
zYhC(w(s>tU;Ks7#rvZUppXx$a8oZ2FI!1?0anE}yvSK5hH@a;bP1R_)AvxgccHJDN
z$MvG;RJ0(0YG#YqR7Auz*Y0q$#M3Y@=Ir-ckZyVM>aPkFp~bJA!{!N0CXNjGT4+On
za0#7tqCn1J_pH(jx(+LvR%##D#^aX>Jgi4`aA5rKryWPF5V8Ht&fY+6c>B1|wN7i|
z@#l)Oy4=<%F1autP3PkIH~*Zy$?DkXyZH-4j5XetKTyASTMPE=Hy;JjRPpxw_vX<a
zYpi@+?sWO7iB6vb%_lXKQ0T`L+A3~??uD%B<{=F{<KX64)lh)@!7S<_9UF+0cI-V+
zt&T#TH6yJIDa=}O6*H>Zz|$w~;=@B^FqE-&cUg+UHG!vqhsg#-Wro{k{;Gm`c@fX{
z3t;Yq>Bq(fYq+@Yw=F-dg6<cGkEuCxprp|;sPdFGM%Ajjr6-i|rfAhUVwnLkW>e9=
zGS=u{Q#+X8LqdskzuxP@1)^7$T3z$l3is}QKfdFG0@8U_B?LAN6SoG_B#t;(A#ZPx
zc|w{Te!4iEP_6ku$W1ZkZEpvDkRtc2FO~+Ajc?T~`BiN@OXx`ZZlG1AVdKRq2`nDt
zyn3Pddu{R33cLCs0fL#Ca?n={)<e4-dkhC^$3!nta+wLREI4J@E(*icN&MrrZ6me!
zWkaeORV`sxbvd%6P7uoerVqANj@90g=^4A}ZUL3;%lhBX@FSs9`498M@mgfLzkC{D
z4w^!zn$s6<)I7IsFp3$kmEYK!>|Sn$kM7>Dw#0H^zwz6>ZxY68S^pHr?3y;k*p28b
z=hInH9=_0Wer2R~F8uP#W|}EfT|NgLS!6=;uUCS5{teX*6`gC@a>fLKwufxobLshT
zuA9<dJx~h^p2(`V#?W#(a#>R6FR}O3#oyMReYKZX+bG4d#)!P08BfaiO-!D+cfPc;
zr<SqYbH^B+YsBVDf(^$P37NIPnQiYnYr~$}?$-Ef2)j?8-(0GhBm8VF3+1Q3)`qy;
zETb43;-;^t!<D@=L{VYErY7^&+I#%|yXtccU^kKb{!HT};UmsOkqdcSTiq`#UdC;J
z>Wh<)!?uhQ4O-7W?fCYhc16%S_5B%rJRUf-N%80iu^M-8ca>*pEq}>Hi{U9f3^-C>
z@-Ph%BV+`(H-^=g**`nevri8)UaCFetNlcJn0a*7ay}7kuc4LFPs5g~N9@FgJ|f}p
zU}k|-C9z`*pUlslH1u6fR!Ls{N&Ml6PMFzLPux(~NGlwq;^XJwLA9<P!phG6lmEaw
z;yEYB->!pHIBHA1+G5j9T>mecQSe?1p{Oh$<GnzEH?Q=S?{YtgFEKCTDnEWE)RPa-
zu+#I!-`$>0%R9RW@$>I!A`5NAlXrKveHEmjIQz5N9BUUbF!eZ@Lh2;eF*0oMcBJcE
zpn^@;+IK?pTFYjS?LP>Ervf);LUgcB#C~m`Qx_3%C&F~f=O+;qm)E%do;Jq%c+8uA
zb`jUjI`gW;`-q`+PJ*64w6NF6sO7)fA4Jw?D<_8We!@$`w(Eza7OXC_GQ1w>CUU42
zy`R4g606H8&))fJB0piY_>S67;<&5j!I;ruLZ?kCmLXRIJR5k0ir0P;7i@bq^X10~
ziMiJMd+0v6x}l(#wAxD~x^_FtMNJTAzUk`pLmeKXf`cm3{e(r(bRSuKijZNQ$DRx_
zP8r<&xqZg~5jE+$u6A~sX!KS+`F&OmmlB(qSDFWjTgQ_mwNK9y^5!yIOg5^aV0EMQ
ze+Pz%{9tC=H!AZ)j-J=w6Hiq!c8@#h0(F$wxqeUor{4=i09`<$zdhOEZ8Av}+d3#y
zyEMm%FAi6eXIGYpI=3TR6O&ai9e-|nqVF%FB}$^#TxW&IWD~6jVO4?OhmX-?4O7IX
z?1KBYS$~LgTl3?6Bb4Fy<d;aa$qbRtNERSluMv-IDj59#D8W;CqmkI7S%RH-P}(fc
zh+7&D9u}Te!d~}E|GbU!MBys0UQ9U?_NV5^o#9YI)GMV5lKdi3Fg3%u?hFfbqr|_9
zWzhADJ=(KNa+weiUDk>SW`paxZ6dvzB!vGqyK>iIg_vhwyThNw0l(^Enaz!gpegre
zwU+!LvbA}_omRN8=&9e#8=#1t>vK}!y+&|YTAW(W;)S{V3GpToMNmAw>&i)tNTwO}
z>JkD7vAF*s;*A21l^yzCTFZntDt#{$+XazwEJ(>EMghuZk{6d^SkN2(us<kM7>{^X
zdb8aX;FBZ4P#wkwqBlKYDn=Bgt9(`JstSm*rAejS<v{heD`#)t6UV-l>vLQ@3YgvU
zWppbWHzJaEH{4&9#5U8d(eIcQ5Z^|mZ@I$@`}cG63UM-E-IP6ZN`Rh2cJg;eSqmUn
z$^8nir#zaiSz_u9=>8x%OqqvXAH&XA=6I?i(%L>&2%S=Z;C^2Ik`!S?-{oAV*hzwX
zR7&EtE(P>>WyiUm5=C0VqD0eOWpuFi?uj@+@0-P#%#Ap4Y`a^g`#x0_m$NA>eJUgr
zHEG{sZ<0jH+)W|-dt_`VDnGI;sf7Ol0096043}p-)o&QaIrhjp_TJ-|$FbMBt&$L_
zRML<n(x1wzL=i<uB&3wkl<blE-9knxN|co-lrqYmfA62?xvv-Z=X$>1>JIEWZXpTj
z?2!f|T@-LL;pii6RfI^1Lp|RIrNKcpTf{|46KeiUaT&f>f|LuhqxXAdfmI>8F*#Nn
zHuW@jMdqnMBGUPm_sc^$M)8;}>OkS<S{iSk8aSB?S4J)<z&-r~nX_8DFz{-R<IPA7
zaC1JU^)pWi^0)TZ7VV<JDQ*$r-5J`zQRygXazF(poQxT3{q*4UsE>MG8Wm#VGRwo|
z)F739=CsTnec=33d&e=G1~y$a>~RAWFixKo=pY+_W}d~rn?w2_-+4vqSF#3#M`e6z
zi8TPm+guefdyT+>x6y_{RSOiN1s@pZ8Gwje8YykX1Qg79l7dp!=O1DGeb&PORvm5z
z-z_zV<fD0kBu^bUx;qGu=Ig`F`nDJ1`T(a^jGwl3=zv<|3Eh)t_29$n{@^p`Eg@N;
zf^SNk3jgMhczb`>1<tNvW7Z-o;N13Y@|6}9f?H~<IDhLv{yEZsV!1UiblHCy=B9$P
zjhft}ZJJ;~>f?ER(FQIF2PKx3>Hwc&%0-6&Rj5Bu`nW;V7AVUdXS`L{?+*+6O#3Uq
z==?TX)iGNrIDG9%#TPC3t}4~N!Yu`*adN3sQMTaq!Y0UEKoedUEVm|pCWG*JIl~Jt
zTll5L4GvuD;Bob+%6T#yT-%WlsI>n6rh9K&gu7Hh(X7$a*>sBjd+mhS`3E*IbYeUt
zGgcYu>9^?}J9~+W5V0i%SsQQ(J9jBSQxUR1mgi0MED}tidf<J@8uWGMYZ<!aprK@?
z;hr7~+8(vE=KpC0ULWI2D6%p@5;P)=CAo0EVqB79X9Y6J3w#&q#No9&H%pNpFD~`^
zrZYaWgb;6$I8vT4{8C+|zSQT(DwVz|e|}52J}c?N{Z;_J{YhZu*Ac)2pX?t9M*_5;
zKC!45$peYrvSZ100_gW)pIy`+I>?h^-ZHGQf%ctB(g#j5&RXB;(;l+`p1D0gECfkV
zz|7h$E=fj>si*_b=gndG-#%TLQw#K>>u-o>9AtEI&%a_UWDZw`W_!5qOwcC}n5S3|
z3SdI8<&_w^84NTq*)?bP(&J5geg_l@;8{V6N<gqFTvE4c=(WE`JecmDwT%?Ov3RkU
z?<-AUhr&^rQNw=X=um}c#SQ_K;@<=rEGEEdYc%DbI!2r<O4Q;q6u?R`?)X7>W0+jq
zmECdpAJOE>Awp9Xz`Hr0zWk^*g6vg=<*ML$!mmTuQB*?!w>Y&KGRhl)#^+qq$NVdV
z!%>|tUu*=hO)ti|^r|6TU08GA&tpI%@8vyfCj~I#w^iINRzo;<KwMoWgM?<g!@BNP
z3n0C*iXkM*04i@wOYZk)My7j9qF2PoSYVx8O=dHIEphv#W7JsjQen%qYcd&s?1|js
zk*p7CWk&w_9c(xq`7+U8UJ%d7<u16$>jSZ7%4!nCf#+gF&KbWI#4RDoeoWPRaA3RH
ze_H%p_>ER~iRYRSj+>ZuU*Dw%v!moslLg$!$ou6aJy00Q`X$flt2Efg^ze0<GY^hr
zHtmq|6TufVqMtWErh#v_&!pQ5FBY?sGiD=1Q6j9Xg7*Lo7D{U$?(OBnJEaL91)hoF
zsWWfg7^G;>;9Y2GT*r?xt(5;BFNtHvPWKJjgSv1tQ2QlgnE+m32<Q6dDTz$|ijmPp
zy5Qij{gXop8C|Q3eG7g_Vg9GojQw%z=f4o{v4kKdxQZ3FN6FyCS8J<Te_hy?#QtTf
zTL{-=KW{&9TNY2Zb39k_&;^B_G;$WJ2;R2xKL09K4zDREZyVgD3wuvC@7rfBie($j
zueyZG<CxYrRRd35NFmxzw<U|AV##2@Qn&&-DRAGlIIRn<Ker5+{}sp0mXdEbUQ)!1
zqh`FSIl3Ts!07M|FG-Xd<G*Q<sf15bW@J@*bm92b0z1!9DSUrqH?K#LGJfLw75JYr
z4en<B9n3u|gLk|dH9}fcFymSFOXZ6+;9Yz6Vl+t>Tb7n<9(_~AS<`0y?ejEvEX>IF
z`G_3S%0s1H{;FZW&BtqRBK2S~MaetYMjjJw1y>ekDd;8LGEbJ#hZi^IJ|9t3z}(|-
zJMgDE$_YoU*niXqvpFi$8)ij(x?8%g^OXkLhx}Y+zGVOx4KK(t4k_aNE;r8lGn)8W
zxv5m+j3MyNUrTI$u7sWqZqrHJT3D`?Gy2`n2pR+{d_&`vF*BdEoa?WJ&zGX80mqDC
zX0zb{o0AH@K2aPtc|!}`y$(AngqZ;UCXvmwH5IIvAe;_e)Ize1-MDvxDTMMThGu1|
zBJiCiouO)B^7l{HZ||8wj28LuqJ$cXkyWuFLlgb^?<|;?o5P?m3)|KRH9W}Oa@F~z
z2J$`huQPgS0S_Kmw8_@0p+?yG1LJqqk#m_QuU<xngwHX*iu={jh)=rF&Yps`a{IN9
z+5_yX)4XrcsfLlA(#MJjRZJ*3^X~m)00$FN>14hde%vXPRKl%-9KV<3E-wRI*hC9=
zbXlMK`G@R(=1N$!<zdOHi6sQ&`Z5o8s^Z?Y$?Es}6j0Y-y57y(5-!y7SMD-VMTys)
zAr;|rNS0!Rv*#>fV)&}9Lxc)0_FS*>caXv8uQqyY(UveEwBw}UBW2XhNm_c>Ac3~}
zM2&i=CEUCt<{L*SVUv)5&qSyw_US2fUfpX6-ux4GE%l11wNW6o?}QMx2->=;(JaBq
z&gInHO9i}qXy}<ujQ}RQW;AoJ0(`D2Tx2Ve$Ef{-k1KZbAu2tv*g*i?^1C;kktc_z
z&nYYVq;sR^P{<@x7y$cPmQ_clEJ`$=3%H@cfg4N><i|Ate9GGn=V{2`C;Q`mr4Fq4
zE;z#RP!%0Q1$8uy4Ww}7m#UNxJ2PJK*h)D-rh{yTqobXh1Wrvg3dC$Cp?=BZ9n!uQ
zppxf*Gb2R|6VJ@l@RJx(mZ=~mj4+1=-?FCPe?(AKua3;E$bcIns~mm_nga-5)fVv)
z#(~qHC?Ym%#QQde=@dURu;P9-slX(JmnB<wZvMJTd_G!O>soILyRdBO6tVt)1Q|7L
zXIdjhQb<|vWK1EAs$@2lC4f`M+n!`+tr4#R(k_OdGlAHw17*FL{CGdld70|SfQM4F
zZ7T<i;oz`rOGG6fUf=Najq@A>=2};oz1(OFx~ln^-amOU(6mHq<uxPr)&?cMcxD9N
zS_)@_vv@E`E~t*EAYs14&xX&^M!+}f9i1Ax0qw$M`ORN5p{cdGwR*B4g!TC<%Rb=7
zL;Tiskx6F!5$N)umCX=Vo{ZVWEpcHPqo;K{jTQZhm@j<1U;wY%W%G|ja3N_ZS-s>c
z8$ui7K{t{CEXI`#ouhK0nFnLqGgb~f=I5AjB1RwH5Brin@^ay{`I{J*G)~+Svm9d0
zs}H|d`YIoZa^V~ON4IVPH)ifT#WtR$2Qh!t&92*Xq2ozB%fZHjUz4tPWNGWc@#lYs
zkL7aViJWiT-ebII-(l%{p^*mSCJ)7TDRJY2D&HHUb9^`?mz&z{MS~Eb4>?V(+-Spd
z;DIZb0B#m_X&Gaq!Ju<`Ygpz6tfzSAno!Buk{MFYzTWdiV!qD)i9C2)$Y5aFR}kYp
zaz~R7=z?cExA4dVUVN?TT0B@KgtyCT9?uEuf^mf65G{xgYvV7U@sbh2+P*+iO$Qa)
zvythe8b3yT6qRku62%(@GIggisnE7rP`K_dKhA8*IpjqX$AO@|jc<LZ&>R}ic&SYQ
z#b!I>jlWAElh>p~Jgjr?Mty2g9T|O(-ny&xObS`nM#=H=RM<S^FxTEHh=Jr6cRt*Z
z!EE0^!6sfRIQ|^93H>dE*%A3CbKlD17LODCyE&-v>f5NNoWlA(Us6;M?2|()6&KcE
zJ}T76m%3^Mieiwxg!H2Yc?@~Fhx(r~6?!ffUu^Ca!+TG*3;W0`qFgvbYOw<q0#8lF
zj<`x7xAfD1*E^K(s@Js*b<tE9&`Z56IVy>(|4tU9Co5w>;C)$Y8x>9zt)^YMCXHL<
zFk<q93ZAdBn@rTvg;RT~4iBr!;v<e02S#Bv+|}cKaQ}T>5N2*>ALN(A_la3gSa(uz
z%%wMZO`isR<-%JUNb(p;V@{wZs3Tv6J%3yu4FWj>2XfbQ|1~LodZ$zax0<|pQF2=k
zhB929@J=gWtdFR+Z@ng_2bhlJgy}=hxcoDw2}RVuebc9=L<`$2<W9WuH-LS*yDpCo
zE1|-Qhpl9oHae%9i>HPe!apZL=4)Nbn18&x-;+fLn`93q#bg>mfTfnZV~q-)HvB4?
zuC0Ttf1j0pYBh#m$0`Gsl2lRQ(|FGp1058JT0V4^%M@G+xx$Pc)lg2r?pltB4t82!
zF`_%00c-m)_4IKy9D7~FZJe!*e`P9SJ5$WT+@K`$>v0My^Cnx*JlDbtTT{bL-dTV%
z_@}xzQ&7|DwRv!?CSHDP;Ke&f2dj=0DrJ#^ju$-Z64*3QkMfmUC<<V8X=85mDh1Cu
zj-6_>rC`c0k09PffQxBY8WuVz7<urk{BI{!eA?w3<>g@sf0bXhUJIw-i-7JK4P9kC
zv)P{1yUyXZK0LF%3u<`M+(wC)K@p88a~vk$EP;5p!KKqd4J94^?KW$cL$yE1W5-|x
zK}XKC5~o#>cBU+jFp)u)6#Lip>{f8~#1+o&ODf22_)`3cpaeFsvi4alTSB_@f5U>|
z%1Bh_iapgA!QE}_0pEHpp|<~iNVSI&wpb<)PCO-JW8{+vlLAYSUpdh#MODNhdUR}R
z93Kh^ZR2MOu!OYH`T^G!dHm2Yn!|K+y+2Yj#>Q1Fp<qFhW2sRNNr&30EfcJ`=Y!Sp
z*e-xa-skfL(qwU9|KQ18+)TLTMSY&Yd4Se6md_1c(#RpF?XJ|cMr^K0>bj^5klOK$
zVK_q)-Ks;bX1rY_BH2$XGNsT#pmWPxp-^#@{~CXzpLvdG)3v?&u+suIs$7Xa8!U=L
z(f5?E+f5VSBRCe=#Vz2gZQ#bm8^Ty7!+Tld)L&vY^kd!QedZu*YFF&szur64ikVG^
zr-;(6nsLQ>>wA)MHOa}Ij8B-d@84aXBqF}*+x(m`1)lPkN0xf{F`^>bK1O<qFjv^-
z-ED3P^o?)E@ERX_^{JjDl}r(jbv$jqCawF$$(pNjJv<o9|BCpW_m|ks@i9en*cj|L
zY}(G<$&F>?G*j2%e}ww@e-eXW3@OfY+gZq5IOqH!X4QL!a0xYM;kaW2O`FahNJ!+s
z+?}!4cT3F?Z?Y5wbD505zkD+fmn}PvGCh8Io^gRtSh#Oo=w}GwqNn7?blLEv)fJC{
z4NJraBKW()X9M`=q0e2tofRK2#vbmoSRpt=*4&ru3}EGMS)k#47K~OnF_?aBjVNl}
zeq86JJ~;B2m3gVKpuweZ?VZewD8SWu9}V>(y|lnN=>s!{`?Q-ZI+M`SniUGl^k7e_
z%X_zcW{gp7qEMePVNPIM?~<V&NCtBYm)~JVWv<0tz6vb3#rcqJ#Y-Bf3SLiMBAC&Y
z{qWN>Pgt=wJXd6LGYw8ImNtJRvEYkt_Z_K@?D(6%Jn_XBU5FZ|)mr<oV1Ez!Bb9>_
z!vp#cTO8MgUi&X6A55^|Ny-RGWRMFNOGw``*mPmxCwpOOIxAM5`{`xVvjJJQ$C4QH
zsi0n5<A3}R8}{g?s!YxC;*X3gGliR}P*s%wR^6E$2Y*&7yprO_U|MhS#9tlon<~DO
zw4Vc|Cv;<9Zx_I(i^jtuIXdt#(mVd*HBRI>aYLXlhm3{opGA}1bfE5$QiAy}E<EV6
zsx-nOgdX}vid|$KU~bE<R`%I|%p2czG{p;JiHt<=+*56EUG47~-N1{}gJ`^;B8pkh
zCqHiAs10%FB&?qv=R<Q=*_S6r#L&K#ztD9;3z*9UZon~q<iFA#{<vNOOO71e{_3$7
z{JX-usdC+Wy(=a@2G&Vo!p^$6(r_(ct3B$ZQb0!eS3+yO-(~P&NK5gRBU)fG=AM@M
zR}j-gul6+v%3;=!3Vp>-3*xvZ$s4u_<IU#M?Jw-)aqq<n5`Ur=gwS{8xV4HPMH1+v
z2@1IJEQb@NT?^dbMXyMDis7xqB?;$spQwx8>%?HJ4F+~DwnbzK+|zwF!+Dc3UTx25
zxZbP{zl|MYmj@)#eW_;oc*T0JAN_MJ#aaid!V}lrnx!$k*Nb0EM-88Pv)*BSt^<=&
zvl~hd%VMSo<JiCx3jWeaDz|f_!mj6U$4{J)!$X1H29YWnxWZz<y=$2Y^HsN^EicPs
z{ew-#vFVzaARnJF)T|5Frl9-7eFY?jJ&z8}YGLZZeLF-dXi#SQI#vFSA|`bAQkNuj
zu-q+%Wq-XM{JLw@eQ-hveH`b04&K+nP@lh{vQzpXy;8C953dS(zr45nP?U;2uGc=E
zG&KYaIIpo)MHR1nH}1|jLd8zAmgRwLBbYdDnz~I}4W|b<4K)&}*jDr}O;gMS<{VgN
zC~_2J=6H4_F@}nkZ%2#l?wCT+)}yi|GZfr&n_tt=fr@+X?|yJl!yM%PG|=nv)X`6H
zbopGb4nE(0q(HC40vf)?OJ!0tkfpc(ouZ)*UevbuuSpP~y{@Ol<(vl2unBH)e4&NM
z9`Q7@zXG_emOS8^rGb;jqnQeyY2X*b=744Qb&vSwW<;FVz}uD2P3(73uw#)mg{|Kb
z&hLw2EYj3KX8RWw5=|=DT4VmZ*v1MRw`^QJyzX5W^^>C>2`i!VhtJj%305#(FQ}n4
zK*6}jv1YpN^0-s4(p{&@3jV!+vOt?qLo;pLU-51-_=w~gvA59*3_X0hq(7-*SWKTt
zq@g&Da>+=hRa?PYD!t=Yh6=`i7X7;=NC;)av~|X=TR~r<wA@b{WwhlCdQMg0#|96-
z0}Fetz?|p5OuMh^p3C~PfLg|ha8#!^m23riMrGlT0u-=!JTyFCjTuM&I<}mBVF^sh
z$+j*G@;IL}C12;VLIg_HSSjqYglnw3_uovF#W2~en%lQb6Xn^tc5(9n4<6huYdkEC
zSIoA0UDo<VTo8U!M@s^zc|$)x^-=->_sZ|*?<cC1OHa!x0(2%l9kDSLL%zb%#G2nN
zMES&lw&FlKm@y3c9RDhe53+qbeIsrXa)&ReuVz_5MPPQov8RGKd_Sxv>U{-$#7=9v
z{Eay{ulUKleJFtMk2^o)O{k|IwoRxQSv7;f+OuE&wDVzL_7*M0mPY!lrn{@Ip&8iL
zz99uV@SyBu1pCVuuj%yM_PMcBrtru$E4*Tz^XH56OG4dW(V6|v&(kVRU>F^rFJ!Xg
zwF`ao>b>Q3fsJ`LSr|>gZRO#C1|wGF-ZsSis4JCz%Wv0d+pWf6`IUD{SB4pl3K*VU
zI`Wj5#3{`;IqSX?M+uW%_dO?{of3)7uZYu6R=IqZ3_-1V|JDOV3>eIqSYw+1j_8?8
z%Ng5c2m(pbmDPExM5k?I-jg$*h_2(D3Chn6AmPG|Psd!AiMwIvDdaajM3c=<$=`AY
zaOnNg$i2ObM3ab$;$!h|L_K>fjhvtlk7g3jcD<Y@p4UDvwA=HYxPExco#16XxTo}s
z%QRq)P@Gpg^5@<N5nE-WIP;$#@Vt3_rt#=3p~q=5r@ruucqAjfJ#d5uhWC!#v&fqv
z9D}~fSa^&RQ7iF>+dXNZ*_Y};k(wbGQfwRDe@zl`-!)cNzv;qt=JtTkt<!{N(az4?
z;=e@1**&ZyUb-NDEXIBNvuVO<*hTnF+%$2^i8(85j0)Q+_Wk?orwLIuQ^nZeS%T%c
zCF`RgDj3eZobqLzA<QZUe8<D)iGlAM-ydh9!tnOo!uV4&gr3%D?Xiq?{t3G`Rhy~<
z&f{0pf;Y?(y@A@_YriZLok#D<-Br_p6HF_oLfU2twLA$S608xI3|5awMr*_Mr4Fj!
zi#cNEm{eiwC<Fdk-nLn$Mhkc|SFTrg%oAOytNyC?B=i<<y5PB_31gOel$|1r1b>2D
zE2WVM1)LHWIIJ{*<8+Z$Nz4+_pB85<dx!=7YIVPEx~c)zm-+IV6<3ID(_@>H<k(P_
z-9%>pusQ@C-?@uCy-NJEkRCBx_tS4Z4R-l9>ag0~Fwk&@0jqzJm34%;FjaF8d;DVx
z(Dv{<?8;!oqw0pPW!pC3@4QaCGzkh++a?^Y?I7Vy;FiMub-b7$mnsx^T@6BcqU)`7
znDN#_u5@Mte%uqZxcirw8VHI@1$aGWK`l<Ml92}jX!6W8YvrLT{I-uP_~pWeGdDle
zSj`1-%O{Wa?v1Jt`XghwUy1{J4=JfC%?RPiJkp_wDHT|=d!l%0J)ig4h!-LqB52dX
z6+Zby1q5t6gN~SOz!iIqYtMSc&`{7RcQ{N1E^_;M>ZI}Fj?S$OPxvLVlksS@iMtAX
zKNMTIkIaubQ);VeLDH!3<3iOdR~6W>S2%DjQ~+07M-`ke%3|}gO4$$IDnJ<+shV0L
zqZ`>l!QiJH?y$7}Zkw(GWziY#61hTHZ8ks}@m9buE#7O%zg58ekxrb6zX;|^{Q%=t
zMU2cl@6zI<3QCK71x<Uz(EpOXis@5j<dm(C$P-Y5Az{|q4u1)hU>C9edrB3vg4()*
zCe`50zl}dX=1ZZp+uH!%trT2*&_f|}sDs)L<Jc0CEG{K{oJu#;z|?b@4uyv_pjBG;
z0;kP-K8?#q5>>P?@(L%Bz@`O?#pi!4Uzf*1Wg*T+P94ngyBw3Yqz!(4>Gup~6|j1$
zyQ*$c2RrKHj`XklbxQpn1J{E}Xe3pAVq-5A?PW}li3jPzl#_d2(FbLmtvkKopRbFq
zo!R#0Gc=g19kFw<QN`KwydsiYY1sYO)=)f0A6yyR%ZaCI*r3#zu;&d8Z<+JXu!I_d
z#&qm&ISzHa)3gvk;?u)?Pw!i<0mk4XF{yfJvj$$!`>6UrKo9GqGRxN@O(CQ?nDd&K
zCQd{qt`aRY)QjkKe3E4jp>(I4|83R6m!<Ziy}C4XdcIqZr-Tll%lhA_uW6xaqEAWt
zW?hVbIGZ{C86eUt`XKmfV`W6QWh|MB>HX(_$ktiH#d8ZkoG)vm>aI&$_UmdR{m#1)
z`y?wE>-ohn;kJH0(&|)3yE-1^Z#5S;u!dr>&*Ji*v{3$&wcYeOUo_1N4o4PSL*M!8
zo^&QH%=TY8zIU%8dYt{!s7bPcO>I0QVLvsHe*+^%U6;k_yNiEwlx$#n`Jq`)k~;3!
z;AA`bTMV6x*jj(e*no#@TizTa1?P5*aXRahk#_$3^`#kWICJQZqP2r6?%i>=!qlA;
z^Vry~k)E#S>H3-)c}5wlwZkS!#cPDu#huKVPS&tFnw&X(QxUc5g>xL=jS;m&E$-_5
zR`BBOvAd0x^60!-bW>mYeY$tvrc+^_R<Qie{{F2VSuCwgl+6A%N{`=Dm*O#C3FdK*
zNv}kuao%WSGdXI89)Bu%zHpsS3L@)|p3D))j123q9*)a&>ouEd=XI}i<SiDr^bo-u
z4LL4_GzKWHop@!l1K^lj(5UEEL1f+iR^Xf&364h(WmXo@fj6k+p5qyQ?0%EJyV!~e
z+DlaI%Bw7(wbm4bUT;975k~>Gw@hHSb^lq@_vR41zxj477YAmQ^1HlPWP&K$9T9=!
zW{~YQres{ljJNGo&L|Hv!OstWWEDlsU_-%DbJPd}h89fmuH`a8-Ybvn5xaFybZWiQ
zJ-A4$R$H?Dv10;x!H6MRlnDgmK($@*G_j~XpT;#nf=DNlSV)60B>lQ>ow9qJh;Aah
zgM&zLNWdXij@KCK)B1bKQQrv%%Tk$EeiCTBzG7Ce-w1@gL)s!Ex`^zl2J77CjBxly
zL-w6=L$C{F7#2BA5PabQ4YMJP!1=D7DVb~t&W)2_H~Ci5O`bnI5M<8?U(Ozsk`Fe3
zN4%rOV)-BF1sv3?UHXjRblzweOTRwE{pbBOYq5{sYSMaG+>8-6KDqID-d-P~_jS+@
zDt)K#DW54R+s6pE>^8eJ)aZf9yh87j!BILrIdH!5HY4mQJQZ(2(*uJY49sZ%hwgo9
z!P8`g5qwqoQs5~K>~XxKqH>a+_S#dg|1=4r8?$Q)HECdzcfjsk>0f$}a&S_#C=<+<
zZ2b~aqzgNq<uys)ou+F#pMA#P#ROC0!kzKPx{!5FO3yoHmL5u;+k2&g8Q8kK(|<Hj
zVJ;}MHp6e8e#WKVgz}sPW*ZNQ#O$Pkn3s8bg4-f}?=z`eyN6i8yt(aJ(3lQzk2)LI
zI4{$a_SqUVQ`sRcfup)US_d|5w|%kOW0h_g{%pnn0S5^0zvOg9UI%iLP8pS1G5~w;
zku$NIxu8--;AQ`1Z7{WE^Yis$g#Q5m0RR6Kn0GYS?;FN#A~Tz0kB^V>vG@BjLlVj;
z6e*)3UqvcAN?Ix*k`$Q@QDpRaOVSc86dJO3WS4$^|K8_0&$-Y2+~>Mp*E71+`1DN?
zZWLu#a2a%}<8EYi<KwGLa1v37%o5^7N_o9QmZmx``X=7E)W?kbewH+cTYMNfBmX4x
zvKo$3|0IoXWCeBIb$N~sekgVal?^efL9b9x=KXUvjB)Z;_9(4`@JQ+h|0pV=y`M69
z?cqRaYrwJQ3_(1J9=@`kg^GhIwJr5>oOr0fEYYDXjHK5mgdMU}@i}ZL#)4xlj<iYI
zsrHEA$LT4P5U8TzScHp%5D(1LH;(>zB!(&muWaiD3Qk;(aaC60L*}yLM%HQxaHV%k
z{A{G)Mfx4lKu>-!Np}y1^{z*=35Ric0R^xB{3oVREPz3!AkQ8NX%r}b4~)4%L1sZ3
ztB`;oK9#3f9rKdG<fE|RlT{S3GbLYX&k({-50?$r6|#6SXRjYULBSrm7|!p;A`rK3
z+qkqr9u0bY5f|)Kp+B|DIPjk+s9D;fm3a!VUn4pd(4vZiFL;gYeu`u6Z_3$PJtYLs
zC=V#aQXzGkudr)S5;pCTJ)63f5q89bx@nIZtk{nHeYti6>N@F`Zs#eOk5@L$N>GR3
zIpRfdku<mxpWQOqNX2G3-`a2AG_a|TySuAX2FE8a?Z5C(4fcu!Z0|@-q*xyec_$=?
zqZ|!RAMa=YMv~&&AJHIi{K?*HUh<I399_`7wR*0!)Nk{9Ed*Z*`I}a(fSE1v-|l(S
z(8aF#E<#8LCAanYnHCfwP-kWlvqFPAaV63?Ru{hpqKY^ylyS3a(tAEi3-<M~$F;ci
zab%6&$vbf>xI6mRTB%J7o3o$0(`yV6<IVMFvXp{Pf1`y0C$-RiCPK40&ImktGZ8Gc
zs<=^KmO}ZU1sS|Jm+oo;eZAt_5AvzlAz?87Ia~{OJ_qUZsF~r=zb(hwcd4N_?MU8}
zk2I8-?)a*-NT6okw*JpgHP~{UzEVA<iSr^GdG>z-B-uje*HYB+X#Z}$Ejb!+wK>3%
zdDR?e4JD<=sOrez4!&4FLB%!-=cuoR1xn{0wlIvS;b2pF4P`<FO*^;82EVevrq<br
z6TWK5=n#vquU3RJwPe~@-4Y7xi$l()ul9MtFRn0H4yo^dy$v~FiHZ>>neOwd;5gX#
z*j`l{$sbBLKTop6VbXVHuL}i5C&t-#h>7Ec+h&EYQI=?Y@r}4Yq72Wxw~AU@1o160
zT(ZX160?qh6B~9bVL)fyXrww1W=(T=jfE`n?~2kX+eQWOFwKlsu(QI6FWK!1X@Nhf
zU!+|`<&l?tieKm865(-p<4~8E1)PeK858!&;)nJgBi7y#!h4WQv2?;5_794Qkp^kh
zDWvjz_irY6uVjCkJ!+1Wb&21i?WMqzQ^@qd=M&vW<?_WTMsp-~R%EAZOJG2DarTGJ
zAl=o~Hd*jAke)$QuGokoI+FUL-*k%Zf9P!#jUN#Ia8_F~MF{CT)uJU1&d@_mw%*{?
zC%_<C!J^8r4zD=Iw@w_Lr3>3nvcGaRgZ!A{WLgOyc6Y8z%gCCePlZ;mL?1E*Pt7s$
z%L3d`;Bbh4%{osnzd<ZyTr+{&yPst;dTVgYDN8$TXpX)!jXXqcF~&XGuzE=?D^BH%
zsTBs!(feauUkbAtgVMdy*p$PBK2zgGrh-{|!hsZJJ}V>8*2UaDR`!orcp2k$|Iu%H
zl|c*>dD;*Z>2cPlbxQ>2wcA<e%V+2>e;n3r{$v23O_Z?gopXfIHZysNf@!)q$19^|
zB?D}}?3-boI87)UC*M}h`9-(6acaMRtUiRbBMOQzL8zVC{O-!lDSF3^WMh|ZJ@kov
zs{OcWi10T}kUM!~l1_`a5`~!_>f9f<lKel3U3x-UK3~S^O0CWN$MbcOY3??Bc)puB
zndjj5@X#22;^mzU8~AiFd6;iw^6*C@H8>|lZ{sLEUP=AijaVHRlo;I%x&4~>smQ7{
z;5I@}S}ZfSn$d>Gywaw0>nFsUSNFRv-x{VXiY3i|+oz4&_kHDiWNr}VW6frkYQuD8
zwPyA$16qh`Nx85kxsZORvb88?W{AF=ZJ`*tR|_TvuIjFN_4N10X0KnJ9isak4V70I
zqG6hAeb2<N=X86KU6uV>!}JjmhG>@%8n|n%zO)~FOYgP|59}@(rf*O&Uidn%iM>~o
z4aBS8)7$@L>B4)2emMAze?_7uY}b9x$l+|Kvo`;Gq-Q@$ci-+FS|g~57T>#?jKpU;
ztE$6E@31j?SpokbxkUpsn$L8cUpJl3LTGojkJI<Q4;WR9Qb(hz;|Z&zZ*<GIbFslk
zC+Tdga^@%Rsv&vl*z-*uKj`-k%1;>Goucb+yqwiAKt&j%-q8ySz4U(~+anVie$lD1
zOonuMDiVZ7F0dB&(T#3YPlqi`(>?v8^n(IbA*2$}BX@9sUawuXxXtx9UDaQF`c63o
zw)^r<ZgU!<OX`n%eEBj<w|5#l8^=I_4O2ohm&*v<)^WUE{_H&cVCls5&)Zb+gKGGv
z`{)?`qYbBc%Yj9DL)`*f^<8CL?|&kHp=E;p=WE*Q(YR&$K!nb;439Dde|w(EES{np
zEO}g$Y57a%r)I2IJfwt89VX4`9Mkl3f6u*kQe_}Hb};Si=}|=BdYJ-^Q#167Tk1aK
zTx29$s)^_Wj*2J|u__i&nWcwU6;4-3GLt81Ownvj3OMT--e^2MM?V*EkD}7XLPj|z
zZkse$fc*3R+P?z}^sKV%Ju~;%NI_;t^VlYNoS6MUU%Pgh-pjaGBZTB2J3q_3P;`=q
zPDtEhvj1PYXk_!uE;cT*;X7mUp<X$ZYPN8#`SXwdE}TVt<s>(GobM!?aI_qfi?l^u
zf*8r0dAwEga(pEFb%~op(sJM~y!I-3fr<3;aU3Wp<R{C=A9u~al?C%YQyrOmEM$TA
zzW&$F>&Oe_Hnp?KvbY_-<)_R=Hu5`Duw##c5Sef_;g;?eSv=W?ss}eY$Oz|Ozr&S8
z$mzU*;Lq~181j4F?J~qk_Fdj#wP}YK`D{mjN&}ZHHf~`Hdg;$i20GZR7k(;1G6#Jq
zzRM<y4(9-=^Zb0Iw|Z4&*lsEE(Qm5Qn5Zm%Z;~;@MSe2;O?KJ#Txs%pTkWB}HnOna
zr@K~0cO5zIHAQ(xl_j75nbE7iEDN({KmE3Ug5()ls(Hp2Ir20?bnIr6gZWp_%$6Bp
zQu0|<(@K#7=`FiFSCB7<ouTv)w{>EqoA%w1gBeQXXTJ?njp6dJxyOHB&qsoMo5$kG
zov%WMcP?D-i&sEJ`v=LhUF*pQ_R&F`U#pUa%T;=O?-ju>^DVH>LYicy6^b5VS0@wI
zhfdEQR7Q}|)gIrwGGzI-Cb6~3n&e`%fqL#<3Y_{Z_h@U#k*+LUd^HX<GQp{e`nHY=
z-W$4iPCk_<tGRzVFznMJ9qer<^kX!TvwXF|YL6nBX1{riHA0)z@4dpV>On)gREOzp
z9%ZuC=|k1$JvyYfq3ZqxiZ+ft7+PL>tU@Y&Eb+XntV`b7-XW;1r;97B!;>jqs^qrb
z8tQ)!bjhFLQ+vh^>%)H5LOpMUN)m=%t*z6#WX0Yj%F7-@xFr-WzIRh6tC(^$%DZ$)
z=}kBN;&+>1Hv6~x#Y-CGu>zV8=Wbnc!7)H*e9{aqe(%(iHfoaRyVA`*#Ojc8r&jjw
zuL3S}iccuzYLaHTCv<CdwMkJH5Asv5IarIoce}jOB)i-rjHzd7WNT2qNaVN$QrQyL
z_dU}jS=yrCg(+%~+wFF|<9%a^MO(q7g|nI@wMk+$>nVktDYdvwi?G5kewJ<8a+;*$
z5kB5H8Aa0R%;ilsgI3VX7d{dpq(Po?^O?DHRE8{4G>sgWvc{S_`6oIrs*w!U&yNo+
zijhfD>hB&(TVr78Sbp|PRr0{2<I<MJ{N!;llS=CuD_r>`<MQ^63fY<FT9gsNLJmhb
z-lpYRA$j26Td6W7QdTWX%l*^@J<cMv;klX>Yy~MP`9~B;gPyK-uli0RPi$i!Q;{V!
zb-RkDP31_Dg`@QEXXgpm!B}*ya!7?o!MRv28S>so;fVWbOz^+IGSv}nfs3N5fsa3~
zC%>{L1`XD-<Hv!9{R@5OSig30cGoj8l9$n=Tq%kR|Lr?*<F%tXIQu(CA5967Wr}!N
zvC8{Q8mbiq^}yRWk+}pP0dgnnK;xTdy!h`NgXs?~VDUV=r@J~2`SxaNTInu6Xb6-B
z5IYI1TzQ`NjKV=y<5lp)RX*J7Jv+j@*9@6QzFJ3DFp*ms!m{e}`JfXxD_VBc6k(rQ
zY?YIi=`nhfyeg@y+)**{{ZO_EIK92kcH~aegWWdrsRi*NGRveh@TD<IYJR1B-`G#*
zoIc(!Y{UnN!=AHen2gcZi{dl=uj#YKxA!b?@?lhLXllUP2yLEh`mCPK1V8Pfu*7Qr
znM_~rWL`3a;W_oi%UgdCYAIQpG?IB?bJZ)PYtR7wLPRm8aFl4i#PHoch!^I&l$O}6
z4Uifw+PxGtO=R|;;T=1`i};L|O{vAJT=CFjlj7q!Vrk%g<kxgwNOoNAWf#)Nft3DY
zp{yms=v3A^(GgxK3H?1La!L<dm}a_DG*<|+E=<^0hYup$0j073bWwdrGKcj!14M_?
zW{|=My_h}aLNU5{R?(At*qaHHT@%$?=lRfRz>wX*qzf!r7gPF~A(>RaUnPnk{_mH+
zN1f9_6VaAn=*Nmhi?+FqVglH0sB_d=N(WwceBlN?Y*7BO=&ai+fI~I>KHDE^<0hM2
zk&_1pWaRu@Vy>^lm%eS6pSWn_V;IHV?(-V--03@3b4n1lWx5fyb6TsS{lxL|9xk{T
zC^4TqBLuPJGgq?nv@lnjX|Z)>Ev^eVtKBLQ##@KFhPtg<X#3=Od0z<+V!Flq?)8fx
zZcAHODz_G1*kth&dVG*<kc`=5Dh9)x2Z1@QtNBQ4eE(lLen^xW2KYY^$42cp;qh5C
zH05NKb4d$e=g=QFb8AWDme_mEtn$p=6odbURoB6toh9FOZarMxXL6oxrr~pL_~^W?
zAgTvTw4XL@fSpN)z)yV|x@`{}36B)QF&##F{%2`qp5|S<L!E{!>a7zIwZbU=E_Ye<
zn+#0vMOC_J(ID~eQ(u>WC>X3B{X91<i&SmGew{T9v2M-sHnCzz+I4E*gn&GfDw^*9
z383MmLDgASMhP5olMTIPrT~^h)=!eI(XjVPe;r$<Bus~Ea*iERgjayl8SOqA7#B@n
z)mlnnd)EAs(|47S=j1(e4q8YM4&shyl!idCs~rEBGAg};LU}8+@YnJEYo-xtT$>3W
z+@nOnE*Z%LUQ=x_uRK=Z|006`!6QG~cc`MZql>@rn>H@`oe}=oDvLYI8NT;cbFWUd
zWbyfI9k3;uy`{XA!`y4Gy*lUBu<LOm`+TS_hR?5A=4_NlnyQUKbF@0XeGD)0-lYdV
zgO5i1H3~>v^wE{F)__Y_s;bXkef(OKmo+F+M0#uY_S`QTD0SJ~cPY*Q)x)oL&74<4
z;_mp)5OGbg5%-#X?ifNZ*Td4*PZ`!(XHRD<Xd)+LNBr`D5tz8sHGa#eAfb5ZofVfR
ztcK(j{gg~#)7hh&*QA0wH@=<tbx{LRTPv@f2{46Y-ms;T9R)s(*$*OXSMzyo4)d*C
zGZbx2lWi}gU}43ZBR5SAS83kQjx-Z+&}r~`+CzcN!<NH0WU08T^S0ple!x#SI+}Zk
zf;%Nnm-mKHuymcv!|Nvy*lE3Arip@WZI{*yCn}@=SCYQDtvR~gZ@PCJroc4d;^5XW
zMR<n>=X7V7<NIVxd*Xr$QetI}=-A1F-}1c9$F|k_x1^CV7Zudy*)EBT$>MVWgH6k{
zISxNMbVfK?8K2y{g0+6G?&mMg0G}0eG-TUmbLS|n?ib&SSyBRt+6LY8zgP9S^xnfO
z8Hz~L`u9ntR|K!_z7ovsG{@$xo$ejc3NZfr{lyD+L9m#&h`cT}hdfVz0<W7q4vuGh
zn4|I|e4sl<?mu&M*zG@Rt0;%9oY-FXb}ghOCplbH%~3P(XRY*a8LXR3E^X!IK-?zI
zl<scedai12&NFE!>DuZ#i?ARr=4%mWG7y=q+Noi%0S64t+3P+tp!?yyU+wBZQFy4U
z%O6RII&@D&U-&}|8lPeLP(Yw~o3hc)E^(wiJ@NW^?gBB($~C1uY6kV&?~{r?i-N_w
zf9?%^mZ*zv3K`Qd14q%^YqKR`P(GzRi+?>s1Ur3f&j>fgqbUbw9zqC}iaYN<yD?2L
ze%UPTUvGklq>zcV#p~dh-X7sDJxye9ymMcZ!vw$F<mUVh1n`8Nw>VIJns7WP?R(D6
z7;c)2x&>o=$WdJ`Y<VzE_;_0^eJwJA=`*|2MW=Z&S7h12bajR}uRi^A_di1vj-)@|
z6w3`?$M!;&w%-J&d%l#(4nyz=9|)7I;=;KnD&BndbA;)=^DW088{pYO745MaC!|>;
zAG`mVClr-k?<=i0faS71*Ntx+sO;Z<>)zKz;*p)wlv$EK^q-rSZh6U$6b@lGVsx2U
znJd3u|4R>X7cy&n2idUc(}gG6QY*w)4*{dx-Fk@Kc2qZ4j}30zMp<=63{YarIsUyv
z7ld?ZA#WusSh$6@n?*9>iaujWoU<<e=9Ve5c(dYPS;dj1W+u$qI%Frb>Oh%L`YENs
z3NBC8+|Lvi*d{BS9(P`?uTgGuS7yblhJ{Yko2&?434GVmsSVBX!#4kHSTU8jW9*j(
zJKV-*AL;JV#_P1LpP!s&MW^(=42gCQ*iE<7%zkS@y_NDSbCMNxr92eP3{KdbPy51t
zS_>y`+Jz1tVT1npA9Ew&Yti<=XsK3K3kSl@^R~;fqa-P2opm@5)NO>D&o$6+L{2O7
z*91H6*v|jZbKt|i8I@19dua#?6kgBxl>=$4!bg1n<40h}1@a;<4Kbvwtm4!fTq-zs
zps!Q_<yNX9`{<g8T_gR-Mv)6qfd{lw|E`0V|8Ua%a82}oYjQjrzZRY$Klhpj3W51C
zvqPVjCi+Ug(RMQPpsZ14^x3#D_<SA@>P~84kvdqm;|?z>M>prrUJ!-0f!$TM(;6_Y
zyXH|y@*%$C)xb$7ar6gPXuZ?XKxSk>;T4h}+sz-Fv(qFoa>0t+|63hqUk!AkIt1{|
zJ!rZ~OA7RM)`Qb8)j_v;Fz(AHhzlZNuAZvW(7Z5S-BP8FM{9P8**FS8Poj2Rp`#2K
z1hP+6k?Ii6y*4RuUl_Bm?mMZTkcGcnQP`6~bwsUe89qxD#ih7|SG-@yVXwi$gtevy
z0$)|CnLQJO_|VgP^6M4Q|46Ez@wx`CDiX=wM<fvB;8tH5s|bgaWOw+gexKB~OS*5p
z9{-92mi@<-aBpE;Gb2h9-6}Tw1JyS`|IVGN^Sf1$8LI7jVqOzlZ|Tea&5%aa2I|P>
zFBFKlpDeLIM?*E$!E5oB4D#2H1qC}&QN8?5vX#(+(-*~3zsLXg*MKy$Dm9GU(yGhi
z(?&qxXSR=@<nUc-O7T3G2C_yQca}2fAi-%lfifqL$|vG89@48mQrfMn%cl#)^YIq3
z!ispJ!aw9)pb7D9W8Zh0>4BK^;FHi&!Wz5KybvB5W<N9@{*$Z^@_N(LC`)BrV2dAN
zaHWB|VAAS5W&puImIVi`RM5q^`Rltd8pOYFZyVfggdH_UqxIA&xOK}(Drh$if2l2#
z(f!6auy01PWs!o+1I{v~8)ztCknU68Z;Cw^HrEh0R8gbvA-1n*b)PoZ2av;N@Qr_P
zcbx<k<0BGI^hFJ5d~Zw<RRw;^95Z^nhl<lK(kCYgbvzZ>%Juj?Fg73;vlL0i?U*f^
z<?2+#g);BI?r)Ab`opp9u2cvgH{>#GS3ynQkGVsu`KWts*ow=dD%ShW_s82S;l7h{
zDz~KtE~J~O9P(F%2}|{!syuo0Xxp{lJZS-iKGss38x;75GF%UwmVvK6TXb)k1(p|f
zZIvif!MH@g_w%=;5Yrsu*Zs%>?-ea?=cOuxue~eNKVJ-q`#kQvxNU)Nsxk~mU6r8N
zoXQc-B7`e+fu^ch3rLmzWPQlA>X(P5wpn+s>Ml=hjG?s!LUi)32i=fIXTH*{I`>t5
zaA!Tmv1|_G=d%SH_2fX2>#0#?XMtVOj^@UEbG-R};+WHG8A!ith&>bjmze4F>8r6e
z2fq_f(#^fnxK)rSk@NC5;mOR~@b)|KV8}?QR!|BS9wlrIjibb+eY6jLk$`fQRjb}{
z38*vPneUbOLBwpV_1w(^T#?fV{>35&+ofZZt%2`}xB*|)I9mc-JN<S#KN80I@D~c4
zI`zcEROWQ42s7l^()%`C5(NC?n`AS5h`i)hY3V{!{Lm2zXu2wZTuDQbTl?<P6Sv&0
zN$57g?pN-7r&{=+9BF>YCA^Yu9#EtDL)Zkb*Q9iw*v<om=vG;c-R1Pj+rzp4_o?xn
zHB^fOT##qvyDM*+OK;fm)VMI)2x~QtI%T(VAYw4Egua|blzp0?q6`?~i1@2!jaW83
z^KEf7UHh1@IQd(KLC+A*NeuSd5iE%Bo$T=8X(mWn=NF7;4B#%9w~~L42?7-fzl}D%
zBVs!5e`4v^2T$I4yC_9Qc)s}H5wNd=pdajx=(f~H-mH{ZM(IC-N>BIEf7L@I8T!8P
zD%8W(iQ?SK|5o24<(hpUwU-clJ{ju8s|Qn#>fq4yWy0i?*tus({Y0c2Yt+Nzx>z&K
zBbLU$M0~mSpyk8F5J7pcRBb(`gS3l68}hpr2&bbxx+MW)gs8c2+k}q}R0CbuhsWoM
ztxfL@yrw6K^+DyD>7TWc_O+@t%wnF%<JS&xe))^&c8Q*nchg4O#~15GKh6>Vg6kb#
z-ku?twZ=+MwQGUvvQ=o<^*JJE`%Q=Pv{^!MULox64lU$;aNpLMGe__xSP18(&l5L2
zXpLukY2ZJac+jnNjtH47C35aB67shS^Tk$kNBJjLmLko0qWQnKp4@}WM1dMh+m^qY
z@ZQdUNQ0aw#z!;`JThA$UIa@0RZG>xT&Ah$WYhw|7npF|YbOI-vH~|%DQe<Yh-+Jd
z{~}TO`!=Ut1tZ@0{kb|AuYp8`XlL>0CE~KYKrpWiGwi-x2<fd?$ByLs$iofG#H#|!
zCv7DxIOqHI_$fwpn4GrG=+gO1j4?ZQ{M^b0@6st_p3Q0)Ce!O=Kd%tMQE`o(8&<jQ
zyB<luLB)SpN@krs7~s8dLODu+6ZVN$9xnb-h3^HoGaGg>VsCGm*%ytq@NfxRrtMZm
zZQRZ;WeH3OA@YA9iU(_@*Y_>8QQ+1(;W+t>85M4Z0@5*j=-K40&tXr&ImgCPsa1YR
zG<0y=_Jtqfm+tZFzE#0HXQBRwciFJ;aBY~S>pB!2va3zmxmxf3aqXZd2kPr52haWz
z#M9rwskVQV(XHTo*@ni6fC~alz2(BIy#1Vayhs^;e}+E^)m{sIr&oKHGDShFPZWc{
zGImy)UfI5v2P)|zNhgZML9|`<*r}(C-<-*Z9rp6!i`$!%YX&5-#cKFLlY}z*4wP4g
zRq!L9srFHa(+1Qp-TrU4m@>R}XuV<Buntk*D$NIHrLkvj+ofw-tM`Xw#J3d-qP_Tt
zjj)$2+>|`F?b)vkdxmWrZ@LNtJW=BEU2-VvvdA!bp^VdFhF+}lq9_y@x{w{FfTb75
zXW*!UEfHzo41~pDqj94_Q$`6rHA~mznJLKF&l=96CJ70dw<2+U%7``|6j2<f;96XQ
z?WsU1G*-sSHC9uQbDJ@DT7Zi0*9tbT_(@~xx@t^xCKUn)%jUz5t6^^KnXfhZG6)$B
z4*mcC`}xv>v}0--ILv+4zUj9tu6p+V7^P~W`A}kiQHCb!y~FzBo#nA5ve)mF01dl%
zxYIZrY3SNmscccD07_)UgzexehgmE?JtVG;+DFQb>sR|u@_ajNds7R&vMD)#b99hj
zw;a>HnrlKz50$4HYJ>CN(rt3nsy>uu>~0-Ufw%YXyXS6d!z?JZXY&RFJgs@3Bdw*1
z)Ht!!#`oIT+S}Yq@EhS{{qD2xe5m;5NUg6WwGm|Nb(m4a1lQL)#}R>Q2xARPlG&?`
zkwH1;VOcZqnjAdyz*HTvJ$>~<wOTOR&otmG0IaN>FcRxfhtKxUi4ILPsCUW61hbmM
za}VA3i>e0PqMtb&IH`%i{fytsf0*N-X{+olT@Aby;dL(-P{)Z6g|Wi97KrB9;4JV<
z9S=%If+|<%pH}yLyR5z?%$<*p$n8`|{hG#+{MC7!KEOM4v%nH59iiK8<J3@I$m~`h
zCWrq40096043~#H)@>Mu?X9v`_Fk{O$8+<djI4&J$jGQ9R7OQgN=p>kGoxscjPQF>
zR903pA}T(6@A>r?+}Cm3*Kr-^Nxd@gkZz0&QB|cQqRtB7)+CjBJX08MX%5CZQJKK4
zW1O-J6!OqYL3}PM;f4OoHG^}DWazv*S=kjR3-Ou$+I;{`K(fDf>~KEN&7irC42~~%
zU;R}p4Tty}FZ<~+f_nP%wvkXW*qLs~z`7)ax|ckUezuJY`AH5p_{k6_mU}2pQUbo*
z>ij`FI)PNUHF&b08-w<H1$|2!F`%GWtXXA>L94IUKO`y}L%q<4a<^+D@KjTVjmLGE
zNFwvx`1#rhLa0-I+FcU_{yUR|xWod{D#e;PM=}D(=kaBcGW?)0FcO^_utqdd4l)M4
z0LV}Fp}0oL1C3F(by*8rgq&~xfH4UGAE#P~+rtUG)psc4u2NuwxlvKpQwUTB4QR5C
zvcbK><N9l-De<8XA&dWAGz9;Bb$|AjvO@d5?5NE@lsLsBI<O|j0A_o4XW7d$f~$_=
zgDzSsY{`53;k#me*wB{PV&6jxiYbR5ijGm@4sB_NtN}fEa644t>j_FIb9#H1lue0q
z-&@NIa_GTtHT_!$1vU|7YJT%&BTD@Fl8XCF8(rW#Ibvz8yo_@H-j&wsq`+gDn_R7r
zbRc2m)Zf(cS)_AL!HMvoz#;n{&TJ28!<(cdmklqBqAyzOYr4xjgsWLZHleHyulqg?
zwg?U)ZL*~Mu<i~qy?A_o_H8ZL+eSkY^=w1tERQd~$=oKA>AFhEBbu=Iydd}O+t=vW
zrKq9Pq-{dr%G}KZ=9-XDII7l}Ttje4_dTT^+aliIrSiV`Mgv@Y`e&`p+X?&2Y;T!6
zw}{1ib$hM|X~6BlP2ZgHKEg!y#z)TiEn-GjYL~)8br5G@-FNlaZ$gPux`W1an{ZEv
z$URD@4tHBZOd`*W5dOz5>^Qb;6ANO69Y3$BK~eFf4yX1w;Zry{>>9H}h$gOtChw?1
zfY?E0`}Qe<ZpqW3#DoIpSEhanxvmOf8e2Cgb7zUz$))<S0Seq1{OX-Iqbh{AgbVf^
znI|l58Kq^PP+}K$=543PDj+aj+7e8=NXVQN$?!i%g@21SkDH6Dz)W**6sc^9;Iz4B
zvwDgeUwY`6uKrFL>im<RE&Hz!dX#kfO5rp(q_Ft3$N^<Y7XH;5rME`-y*I0Cd{2un
zh425O+NuP$Gt|ZId>h0wzTdNrg7mns-NwdqmlEtN&!Ju1vqh9HBou_^Ghm9so)V73
zB+%=1c8rtWAvh>QwgQeZ;b88KFHuhwA*}LIuk{-W{MhRH$!vWV{A7V|R&+}NYD{*n
zeEQeRug#v>=GMFL`H7)&R~H31xu$q#QIQ%8^_Zw{oA1HiQ~Q;N8s&j5O>`HIqrnbL
z1_!>~X2UPby%wFx@^GB5hFg-04vY6`-Fr36jz2LjiGQq@0~IgzXrpp^thV^w^M@NJ
z_8xqQq#Wd6eVqQ_k#I(QBPb>?iHaM~J!#(Evm^@*w{+;f_%dUgx`)<BKl5PA<bo96
zr?PN%E=^VN7ArP8d)Xqmgby3)QIS4)$inMvsTXT4yYXca+G5ME0yv&?+n!!W7I139
z+#Lxv+{{5Cu*xKaTi(Pz{w^*H$l%R`#4GIBT%#mH)<6V{(*)dAl92_!gB{Pp<~Xpb
z&8aTOd!qPW|Kr#=b6Hq)e{+%YCKqNp8Mbk3K@8vMJ+ZTMR~GUk%yg=?dGLk5*Oxc_
zCGd}<vxjLGW#QPiJ~!(wK3unMvg$}Lg};wYGgU;%f$_`VvE#G?xa-uh-Ot`g<LOe0
zj%ssxU|=5q_(?<%U)LE7TJ@F1#w!Chl4J#F6lO8Cb{58;g}aDhEqUxe?@47Fq6qnB
zUX_^xB3L!a^_LB!B2Hvx4SzLHf=iWRU+xQvVJf#E38r2W_HBM%QR<`&F=@Gmqdwxe
zIAW%%$wnE|Z+<oLcUOV$^Jmklu>?NsuD%&5rGiOus`(M|s^A!Nqm@BO3fI|D<_3+a
z;8mvNA2oAoV8BxRI_`=z4!tbM&=I4Gw@tU>PX}p0ViQ%zukSLrQCsWn@@_T!;9-q@
ziMSTLx+G1giOJ#0)~1pr7d1S!mzLUSP8(QZMyB|vJdWyWuCu$OhFi_wy#M_}7kn*G
zzsdDez>$pWIinV8_$_k38Qi1~9WQzg&mLFA{}rZ7ZvRll4bGh>)jt@5qPoV%9BvXm
zT6Q_lP(T%{*ZN0_9R%>QeO+Dlh=fCS4+KPWtKgk)wB;8yjG(BEB-_+P!e{HW>9aGH
zaQCKbk^hbnyngn`qrZxTUvr%k>B{?ef1+l7`I#{c)EjAib0uN!V3W=0<FeQ(VZ1I)
zi3~c2)(^g`QpB%W?c1dPNaF2AuWs%8WGI~q@@Q{Uz`q4Im(HE|_lNROeb!ns#2U?=
z*DjF9>8UGn?%jg;LHsSlvTtN~7kcBGp1B;RYiawg<iLZg!$i{SE6AXEj3_81WU!{>
z$@WAyHhg2EU{mfU8LC(fHt2bzan;U+;BFEF{=%mg5u-&0ADB<9c9O(CpW4a}v27DB
zR~xu%yNuyhnCbCb@#46l$k-z2#1wHGjm_$K8$;V^zk=0PQT+2jMLA_1CL+tHWb0>*
zz}3(0iUyYm<{$3u=*j(sVl0X~+%FhG$@b6P`E7f#Zqt*Ci!g(P-MW(0mjOPaw8!OH
zeE6;MwAb(BOGw7&fakqn04nCW-sUWBoJYE8`rB^}^>>)^@U0_Y|M`>YdKU-w=x`%f
zNo^uE89JM2Mg-Enq<aR&Y}n%&qtD;ZTS)$`?wNcML#P#aZl&JHil@~4Ki!SpMwiZ2
zO*4Z53};H4M*Z6jfrISoN)_9PHK9@Tr<Xol_IY<XDUB8vJ{IC`KeLURbDs>(J<)@>
z;q#1?B2>7h(C2(+%NFX9HqKc4rVF~o+_pg!+r&;*VQ>A;Cd!j*p}f6Y7bH?jh4jv?
z629)b4$eHA=#kWTp3D&)z@76u=AjG3N(zcQBC~-Qowh5ya<pMvk>%Bl+%)l_&-SmK
z(K^DZeXo8jYk|6C%e`FJ5h8Od>dsl;HAJiV+K$s!3z9V(_ZF@U5KKjNA(L-ck*;RW
z+Q*lg;KVrcfVrxjxY(VZ)g!oywAH7cKVjE|LATITw1EWCT`AEUUbKQH&YcdoxU2yM
zox;<yr_xZx8MDBj?kgzi)9;$hQFU;q?7Q#CQHQ3!?Jrt0T|rAPs(yGnsY5C&9i6IY
zJ9^`F-beS)3Zh8bbNqa(8tj-;tR0N)K^}dNyc1(qP{8{;JWnjtpvyNdHivr<saqPe
z{8(K<R7PL+SAJ0i{yEE%Y=u9_s<$({=;112(95N&u~3B`ru)*9yd&rvw`I>Chc(om
zMt*mvRRu0D*bY7#9Yt|p-*#TISx4<Dg@0L`R3JYsRyQ|)0?G5T>gEP-AiHIyW%d7*
zp>ZQg&C+!m-DfP(r~AH%7N$BhR)UlvC8>UCBW4y!e)PzA;<=56&)%4^WKo7dsle-X
z%X6rL+CgKOhXRhtWx2ZSSAxXbuGa5;7LfIU@9Xt^lt8tx;kYlH1ltS;kNZz8BF(+*
z{YAP|z;HJE-tlTh5I<7#z$<DQ^-GZ@Q?5`$T*X9q8I>ZqF+Bgmr?ZOG7J6EK57EH5
zj+$<mjRI(kPwn5$w2o@2Z=RI&rGt_j!gC}?9)b%SjK;P$5cAQ^vqwc4V8E|nR_h-h
zZ}8c?IM26@mg}^VzfdxPW+q6rddLBr+Q73mWeVUmOIZ+LXMsiMpP`cNvJg~|u>8xH
z656h>${#$k3j+0aQ8ewBg*THr$p!UP5Grsp&%<XAq+3N4hkliT>*>=S0){l;k{9xj
zx1J3IRVgdj4$FY;=#8&Of6&5utWEJ}G6#gkhm>YbN<*CCd+*or^pN3aZOl8&2{(to
zn_Y;NhE=JbIPVH03>s03Hx+RM--)ALT&B`c!?^pvd<-*e$fV}HP2&Y>amx=U8Kt3!
zG4673$3MP3tI?NP$q(J%xCf#KrQqoP2y%|(9uWFtwqZgi2#A&1kkl*%*Q!k_Yp=3_
z4)#sty&(*C)BFRj?NYGRUD&U-$PVUGu^%7viGth{o06IZDM;&gIZ1z)6JD5F?3=wS
z2KAHkJb@b0pr0bUu4=*!FPhJV^zuqTZe%B$b*eNNoG!W&EXoVfG)tqygd|Mux+eWu
zQ3lLA)pkrI_(3W$@)!=623@|#5!*8|aG>FKR@8yLz%M|vG=5kX4!6+!c|9fz4qHay
zL1{wp$Xzkr(@-8}K7Y^S6O)G`)|Z|yqeb9lzu58-HAUE;bo9~tOa*v)r*1K|OB4(;
z2ida}lwd~ufiZ(G=^t1BHmy<<hd}cub)RFDAzyZ`ecDVJx(YUHOwuLb)3VEP({L5o
zJ7;R?6R83<+Xf_Kb}8s`_EWujTovMYJBa*QRT$x-4Dh}q4TV1+Q@#^agNRShSgY=;
zgT^a2|HT~{;JC`cwyRtX#Jib>E+5o{L@plwoYQhJ`SNP_j<7nANtO0v#@hclZRp%r
zEDtT75_(D&>L9|^pImOI3sW8?<ir&P@QGJActt@S%<P>!xi08~1N9}QN7N+XjM7^*
zBh(=OYGZp-vLPfL7C5QfLxQ6X^o$kTs$gPG+qLNkuvC)GJLIbbdxL!V`X*F>hFM5S
z=!g*r8hqYJC|81vB&S8C`^xZP>#>2lwlQpUHd-;2D1kBYW5S?c5iYh+(Uh$igI!6o
zgT9jzTnRUGk~flrbDEr`oDaw#UFdy#^d$+tu|CzAIV%Ock#}@lR>;uaU;8k+R1uof
z8rmRQ41$WinNn3v;7i(P;q{9OFy7}B=o%sj4a-8)1x6-NtQGR)!@3;k>CJPWw&jLe
zU#Y4OGA7WSsp=_jD+^M;ct*k>?S{KIUZ;GXB12oriHrj`q+#1wE3t{01|ob$C<335
zL8>PwQzT0g*tgCe4zpWCk<+(!Cn%6%y(hpKmx=>#P@SyE#}@Pmo$t9_Vhk6Osrddj
zih?{p&#&~g-$YT!98H6YF;pkzdhG2H20m32@7$#YqWI--d0U|oRGr$B*=Mj9c9IhQ
z(oAd+u0||%ERsfmqxm_%wemvMmt(zF|2(Dfz9h{;27q*0;NgHIF8FAE{?+ZjRG9uY
z%2W^n*w-sO@07|8g8KI(!qsVT!e$0#h!Fx->**`U%XWiweh^++qQUH%`9=1&hM+IS
zRiXTf38*R=KR>jj#oU%|;$$BKSoMvf4i=<?6nWQuuk2}Y&?|;3D);oEk&VYjVT%&1
z7Z*)FiPK^+)n>h_ay^jw^qJE-W)mHc7_qBwr@^muBm$hKb%8_7na+892`xDn@qF;3
z!Q7lX9|9C~K`{HfLE+L2x=t;~=R;3}x1`mhPY37#gE=GnxbraTJauohAcq>0ZLMTq
z5!!HAJ5zkH?+5a0a^e!RqQ+i)dnDd-XoJb*mQy}`72@_tbj+Zm#`aHwJb2G(K~1XI
z5`!2f!Wk|;4EjNZO#;fxPqt{n_v+MJcay&pqxC7Gzdul6jic{$4b(NE{Jd_r$@m~~
zU#m*Y@Cy}=JUl9QDnkR95>M4%2pu89#tdE_n54p&5=9eIcWZ#(^LLWp5+;aSDRrx!
zO4K+qymY%bQXNjGSH~&K&k{C=8q!kZs4-K^q}=swHTX^IoT=tDPYg}`yga~7gFR(q
z<)^Nwfrr`suiDXzgr0ZkLC$I#eBnc4&aZ#oYT;NsYL>iA#NW(QQ;VX-(=#fE4&3_Z
zvyRpKDzjG!Z2{{<>p(jEoba4d;ZTK}^;J~IpRW^=VL_|8H|cS0zNc7hjtZPh&kG4D
z-z0wLR-AZM!+^D(#!&=mtH9>Ri<TQ5+eDx%{bgYhCOjaZ8NJ%348xK8E2|?Y@C)v(
z_?bdxoR+{Aqkdi)#xGlmyvU=(4}FLLR}WUqvtibIh(j4hUR)g+?W4lz2(LAz)o#on
zxL;8?NC~p;l4ov6&|of(qr>gRdobyhkhpz22@V+s{C#kP78jee*J<{$VUfRiDHGZx
zc<-6YD!fUDv+tjw?ib|1@{bq(t0+{2r@f)w2V)s<7_EW-qi{}a<0N7EPF@jw1w}iZ
z%$RWP5&95AN^X2j>*0CkN(E5x_}=I*#Dc>PPPKe{%7fRfmf!9@ssP<brXG*%-Gy0G
zX%ckK^5Oa`>$(r<75?pYJ>?y-J(#oR5Y-7s0X&Njzd6t#4>8|GpDP|<!(#T7_6xp(
zID&yWAthTLBqa0_SRS(DT<h$QeucugAUrIY^N~F0a?{2(OmbjP$_v-dGK%68D>aWR
z)8#?_v_5&sgA02m%E(#Si(zxtFrm#a|NQ!{YWU(BH$Eq=87}l%9KX2EkY2&10P|I0
z*-J&dIIo?7k55bzzocScHjP$*Y9}hSwlIFo^^Vh{Bu@%|EY%A;DWeE4XI)3e{PyBY
zYNy--^<=QMdX$Fb>OY=wtnsC}CWN{7o<8vQrz~EcTK1mVBEjPzxdCPe5ll|}W#w~I
z9?#HuX~YXFLwxBkHs&j$SmJST#vn-%YdpHzadS`^+H#TI(HCNvH7Bb3ek%!2uw3ot
z{iFg>Twcj{N5yfIb$86Xk}|fQ_>sllqzW6mM*UC7N#Z|dcZ}sml`(byK4#}NHQ3CM
zx4U;v3ZKzd%r1>q!4H)pNpCDQ;As7tQR6FV+;-s3N(PH6b}GuaEdN0hM96n;6938I
zi9{-`IB!*4^m3?T<*+u)mHa8^*e!>9GoP(G#H(UiY9&WX8eOoa5f94~l*hhz#u)G4
zRmDFed5^W$>VcWvi*Mab3Yc&G*|e9bD(?L1FQ0kK0D2GUhio=0;1Q+p`a6UQmN1*A
ztu;lU7UJ@&-&ql7$Xv3nTvNvO?|1(w2m&~HRe$ruJ4JlTioK(7S_!{=boU3Jo)J*Q
z#uhPuQ^fBY9uy9QDdOzE5nGufMqrwy-It%Mh;1udH2cftu+K#3c=ZKi;8{88aZN`N
z^O`YzjeaMM*Mk`KZVVa2{?modarYGPz2gT29zB-8?w&yrqjF>jzxPMNH%A`pW;N^^
z^b^I-X_L%@wq*FUX|U82DTjmW5^^-__hPn;IuoVCWVp8}bMLT@EY3?`=eoeigBd5<
zDY*2=P$_@@lwX519=xUBc%zXGYqe<Qx6zTIx{iI9gs~J}`=lG~WXgmc<_l}3tBt`m
zA;R1AxdaxqYEGU}qrz(A_|~YKF=R=X9NcCW$F`Xl<!T$23Cp@GhDn=7|NO2gBlurF
zv9Mz-TWbFi0l~fFnh%ViGyd5Xt1@BSox$Q5qFzTF8a*P%BVYvdy<hDP745|mKXy~c
zDYc;|wtEDJaslq;MAetp^WpV!e<MzcKj_@4OMXw30V+)+WM8rH;NSpqH*MfJvYOa&
zbPPej5%-qf{yHZ<>78h(8Zd)QF>=yQFoX|%Povvp*>SdEYNdnj92$^v+oG#5fY*E}
z7dxr<U>8$mWBvI#^yA8@D}lfD;r&fbmuO)YjJQlw%XiJA;|D9~KC|n?Q$N!z<wOP?
z_}|_4AK%TPE-KDhS_?fmoqX=JgfA_Q+WK<k6Vn`0_C6fMa9bC0zP~s=pGbv+23w7l
zBxliHGA+~nCLQ?RwNZ1Iivm06+l*Y$oJNV?lB7*}bU-rY-4)@A4I;JTc_e9L0y%p4
zunc%<!@v=WY36S$gcoaXfLZYvDy6YkrmN9{r<Ey>xlb+<_QMwodHnuEqP@+b=lQhY
zu)e(Th|3%iQuczr77Zi8pp3!qA(}ASA7~ePbBX|hszZ+S2hnZUEiMgcK(Sm$hw8>C
zQB{_o(gQ=NV$VWb!hQ{SU!fRvk7bxB+98d2t_+~M_oSzh@6@3{BkgTN-VpKH0$VA4
z=tG@CXQ^Xl)FGcl5nSWnPn<mFnOgg+8=dMbGmJ}DgYtMG-&)UZVqNs9X|`P#I&SY!
z=*FuCBHniE%X>PBu&a?(bsU}Oa%d*iV7w|MX-)|jI<yi){aHa`V(o}SIk97$TNQfs
z+?)THHxR6^6wA1STTy{`Eu&|O3S6IZKHuK(iLkJ!WDOQ=L6eMbw>8C8z?hLGX?r&&
zB=A6<WlJNnf2!AQ{8Aad3J7xlUM?fboFBXqp8AT+%+Cx5=qp1v|2~bM!><Yc*Ngjh
zE_^{ZzTb*>Nl^kj<Lh#=VY$T3r5i0}CqARS$vL*4Ka${%j>4q;>3Bl8Ber)XqaM8$
zFQ;9YQ-p3U4qm51H=>hWO2JK|9u=jE9Ilj9glYLdb5TL}(UIJTzn}2dBgenF*2~Tc
z@J=SueM~JKdA+R&(>JY0x8xS=Bhuu-<6F7}(#}Jy-V>jf%IZ=0>cocTkQ}_*>2g^b
zDnjSRXbgSMeMWziU6~eT<>1zkOWF6dH|XX03um>xz96Zm)JGG7WZ`{lO$2+%Ta?uN
zOLi;kD^fo8wrTU9KN{Yo7QaoDp=0%H31-5L=-%IgBlMy&p!=b3qpP(N?f+02@no<G
z@m!nzn{Y)M&fD*L{&t}n$v(1p<vH4d-ptE*-2W*BC(hbl=S{{a`mkr^p0rj}7i&@7
z3{rqR_T;Qv*CNhQ(@@^2Hgq5@p-b<XB)pyXFhD||P(z@R1f^F8BImazRB=hdwm^vB
zbJlvK8@N2hu<JWoj%A$Ch?0P8hnOQm;$KiM6Yy;fccHzjuHPQ4iv!1GtV@|k1KLP8
zCXpAq(X_MGu~z}&AQh2WJ=EQVg!GW&U)?^$W4P0HZCVUEzc)S)jQWNG?IM3B)%K&n
z@};sVUoqfl*=BRsZ9~uhdMWztA4KLN3DZNfqA>m-%>BRb?Z}5Khb_Eo2zh>R{9zF!
z3R357F9;@gqP+43r-Yb4XjWMA8V{u?G!A@}tiRiZo&>tES_coK`r46R?FS+-aQ4Bh
z!0T?by*IYDG5$Y96Tn8DEhGXDkKMoahouiKG3phxPK_a)ZYC4!Aq>HycRyY&=to{N
z6h|7OCXsaQQ8|k^A<(z<YTq&$M8(A%8N*&P$j9N#rf0n%v{;sQC;c2kr*wNh#ahjw
z_&AaG|4|5nHh0<F*^EEvMfFdMa<&De5WBU%%V;m$zq2rA6*r97m`3zn7?x0QbI1Pu
z(E{Lo&aok>@;_u@zM#KHa|PvPPQ|$X;D?wXmx=>I<A`cCN_#1D4Ou;#ly^|zhq~b7
ze!D(RBG+zYHD<GkG7{bi1>WWZzinnGD49Vrsa898EOyX^;f!_ONnVJL|60o$I)|<g
ze;mlSqJ-P*SK}HTc;OCtOMYnI0(#v^O==RO2C?DXO|>Q-&}JywrMQ0yDQTXQ`lCP#
z&ikV@<SckVoYp!o?%E3a({nAT;5<E~MqAbp?c88_jyca}WexS(UT5)LWQ6d{7kO4*
z+(74=lV?@3iFC9I_K6TIFrArwGn|ndUd|7Fm9N@Ctf#&rhwj}FEbO;&{yi6X>|TzN
zzfTE&o3XvjQ#QDG>g&1p;aremtoSMF3^gF3?vk~;9MIxz)AYoV3%r?!Rkgxs!Cdrr
zxmy7j<bE&`rZ~U_&R-bmaRWWXyms|Jv&{ns-2(f&ow;CSzBP{5feG;G2R_!1_+cdS
zd7)@L7yQSVBUT{G3Vk<z+;ciB2y4~*#7HY#u&?X<tu%=}a7N-{s@pyh=u34;9=XpA
z&awyDf(F=tQ@Av=WJeV2u)D+_4<4XM<S?VF=YVu~!)e7KaZpyK+?N!^3l$sz<x>M(
zurjZlho&T9-%#O)5gL9l-Jchhr@#xk1J5#!OUQs<mg6GNoB$X|J$Y|l%n#F65|5&9
z%7M|iqO-<HA(%B)?KKS$1e>bu)H+s0h|C!=<1ZC~LQh5iElm-)WVtWHwoC~UBV<N;
z9*cnj)wzz;c2N+t)|2tpSAmI$p{(qF2}p|Gd$aA1IA~Ml(JE!DLeH5)x0%zWfo`X7
zZQ-~ih;Kdv3u<*xxb=@v|HwhY(lMK06KS|Nc{ApZy#}a1I<OvENrLAjn)g?AWkIQ0
zU9|n0Ce&;T!v4o9kQI8`&s#$tcv%I*nnSc8Adt814YxXoC||mr`j3}6UQ!il$Y?`k
zAB9TKfF{su{9O*B`IlSrSX25%ZJ2U9Vdgog1Hz=S*dxc3;S=BWduj)?;d~tLiZ#6f
zl(M#U+~-mOJ#{Ce#&j*n<5mtD6#($%iRnqoQvv>^A39_=P0)0fvlz=a0#B+3>SHvj
z(8jRte<E2OUTA{NEGHRMJ6dF3$*2N3H)#xxsDi&}scW6B2|RYt>;A){3bz;giCR}B
z$Z!ihtYBpd{AS~CDPF69VUfV5a;hwpxn#s}Z<&Jq%QJRXoGS3s{lw1SLUB0qWlea+
z#SGrW>zv9$%HZ!Sr>tBp09E1TDT6^~z@(qw9eR-jMbv*J_f77BrYlsT7Y>-g{{R30
z|Njh^c{G%L7={ZW`!dGZ2V;h@FN3knJoYt}Y!#(KiA36D$&w`zN`$0EichFW5*|t<
z31w+VsYnZzto6-b?>WzT&wI{qd9VAv#3?S9<H%a@Yc551qr@_Mn)b7n=c^s4$DL%7
z@-?8wYtyC!TD>hDFCxE22G~K{%=YR0?^JjwQPW-T|F31=lO<t~R$HK)jIOd_QNV4!
zb^X~a0R-WS)ErS;aQ~eZ;+?Au77PD6HTH>P#)AXiEj~8jpm#xA`JV!iDD}mPNd)Zc
z?|L$I*&41mux!>7WMHS;>O*N2L`;mWX?gM63Sxp9zZxGTz_cXONmrVLa|g{Teb-w7
z&)R32`r2af!8(6s%}){vjeq7It_L_W8FE142tPc~qzwNJkip&j<Kfpd0OnuaP9Jw!
z3HQNhnk$_%|JrTDwT2C+&d0U)p83r_5}V}vCRzq>my0+DZe~Fcq4Q>N!+W-l>8R9k
zHyQLLj|Jb0v4reN^WqIQS6bSi{992hE`w=<vKhM77SKDJMTyh<&>}mi_C}<Sgo62u
zoqv9qgM;&}=#jLU7HO?5UE^m+SS&_eJOJh(DAGkcF1^qa<LJ9`Ac%yes;?uh&zV80
z{O_9by({pt%MSA<M-o0JdA-x(HiM?jh9S*ZZk+EK^&qlISgoHtYq6gRxAN`c%77O|
z-yG+)btU0}#7vW_Z>BI?{B`Zsc7BX_nle5dK|-6t&hE(wQ=lxHnY|+lqUN*Y>aH3R
z4ljo2q%51jnaw^|6j;Jo(nvp6xLO87y<e<0%`t&Hg)@)cZAG!e@}YTTj0|RG4c#8n
zGJ%pyp1U5O6+?@-zVqzWvgj7)?CsNQ3@`3~dRdSnj=r6y?;EOR@p?tjrS@oJ*yU2a
zeK<@4SDX?{Ij~m_eR<PdtaOcmf8RCAUJpss%Cy<|!9gAuo{mkf_`(1Ko(CI$FbVj^
z^iYVmsRHKI#W}iGGoWIS$EH|W3Xf-~x-793(KC4W$LJUaWD9sPcMB77Vk|;%$WIA>
z7Uh@zac96#I<a)+KO%NKDXZ~yB;yA5NiT*W1K3R#RqcPI@o`puZqXMquGxK$T(7`@
zlx_LNy>le|wK><bJ6{=h<Rpf#mSjND6RXCbT(Y<|{b|CuiwXu0?%Rr-dA=6mQ7usp
zm4?y^ukxxQ&q2bv{bUAsA9y3;Y$T7)J@=e)AF85b%B`FxCIhUsYvs>uR=~q0R(Hpb
zQ}FEciI+P54A`W2{h)k?BHp-XQkmkWhK`yEd)#sva7;7n2v55b{-Ou37LuUi-W#Fa
znS%`Ydf?AoQX&}#jlCyo`lz^3V(bf>W(?ap7x$a0DWjh}OVKNxh6;7Oi<v3LFmzkj
z`S>GcTw~Cjlwzumsu8-2yMGyj^y>O7l`s`_$PnC+FszP}J1^&_gqy%;PdnFr;;OiN
z%H}_pAPsacPMTsbn1J1R8}5o5s+e`9iP`l=1Jf@3)h)<21-AnJKW(lQ^cUCP_uh<-
zUqv78(>7oNCJt35k5I5}Zb6_TijJzz7e_SSFkz1*UFpnjHN4AWMxD%~qseXGm9AN4
zkiDn+S?p&uv^KcUedZ(`AI}~M{Agzmf1f{V?DVGM!#U088C&TndL{7H)Ur8*P4ESX
z-=^Y<2itbo@Y9j}BlIqRtp(IsH>WDDq+!Z~nLkx&8i>ZrJaqw<u&*%Z)}k>DOEYhe
z3XG{^H2&4zCd7gj^=s@Tyl8mxT=44=qB=&1nyx#0l?6vvG<;zD(U2wc^3)QYhG$j7
zdo&E$kiuYOeRiSY8Ay+DRHb5J(V3pLm2B9a@aY7X3Jq^)bpJTBigS*7Qj0tJ0h~fy
z2y!D-966!;+GAK1_bDq}Ij#%PetM3)A(e`>Lrz&%msHT}yhn<R3xL+Q@?;MgD$bRS
zT8iyfMuoZFH%prU*57)@g0pH!>dEa?Fec+0*8#uKtpH}E6CwG$YN)1YQ|Cic#NcvU
z=A;jRY0s@^<ed~WnQGwOHYSJhav9A=jsV*4W>-GBr;5%GBOJH)%V6;49zhcwfaALF
z-WLj}qHpe%xc%RxQD<Y;_IW`7H6dnE+y)igv22*yYDUCcU7wy&+Szbp#O=OIp)xiZ
zZe(6-AYksv*lMF7Hl&`t`up-I8QYIb!p{&%?3Ou4w_0XF)yDks2~9Gxp4GR=t(U+I
zIU7C43>H+c(-qh^tBBQ(XD(##6vx*mB5%k`v7q_8bamS$1x#1!y}48=hA+n)ncE61
zVdiCL`;)Em7)vYNpQ<Q^!b<rYQe-W`Hl0c1*OSBE6Ynm_?GwdHxyP>`7g)fhKa1!q
zC5uGLvA>sQL{M$Wcats20vt3FRxvpo&ypaVw!9;PIT5e&UgVhrxtHKxL?Iz*F2=n7
zo(M_>za3pqGzVM3V0)Ey(m2^`GSs{vf?m33qdoJ@!0wl)g?ug%X?J+u&V-6$P1~X2
zNLe!|U;CAv_d^N~5_eLM@`>T)mq*gnFEF9}&uhZ&Kq=foCzYNE6T>L}LuK#OnXt<#
zWyyJllZ%l(&O(!7SVrw=pRYBA&zLOQmq)+^Z=o$shsBZmrS`U`wx(e3-zt^lPQc$!
zn=hBjNFc9#z`(6x6Chj?eEF6_KyPw<g+R9iP6>AW{=@mN54?E7<u6RY-2=SJky(-$
zCO7UpC2Rt#o_~x_79?Q4+F)Al4g&gXNejHMHU`?#%klw50`9U%4qxjig~Hoop6PoV
z!|#w?lB4zn?3n9zykbej3^QIULmp%3as)eDPOdLkRQ6ZdNTcJtpqpbo1FE7b+^;<&
z;8YeD;nXG)8k<=by$EN(hv#*{Z6;C}`?Kukp+p%hTlMs$k3Iu76r;a;wG;+sZpt{?
zD2sV%TU=q@2!=oM*poT;Z-zdwxptL277pr06CWADiP*mHb3;TN%|6Kd>#u+n)8gGB
z7mXl{b|JMqO&S+=1wE2{qKHW=Ea|TkjiA)@G4Fy43Dust&eu}NI7I&yEfQt~w!_a0
z%9Ler@yq<GoJle&OjY*Y+F=AHLJjY{IXS1d#>Y0gUKuZ5XFW>}FoIL_v40D=<S_sA
z7y9XR6_j6dZLMvD5tQhupX?Ws$JK>|^6KrXSbLD1cO%^h@;{{RV$c-u?o5P}2aAFo
z^vemEH;mvh>c!t#r-&W9!dlDZ)UYeI?(@lyMj%g&SmI4n!gzxCe}QvqSfu*eZZn+$
z_Q!etHUyF}WglV3D2M-!DIfR8#4-Rb1U@_{q>LF!p|*3SG+e%YHr8W=0X`1mYvyh%
zql$q-t#p_=T9qiA6y3n#KW|h}%MKN6^kEj*XlUTJzx@fh1IBPcucAYc!~X*pzl^K(
zYhb{QfTI07O<<3N=i`?gZmhNqxK0b8W2?@k@K=1MVCLA#oCu&`=V<x!+?RCx@5bI8
z@pYzf?)~2WI~*>x+_tUg($mDHwEI3qVNBS+HPW)ML=B@o(sRSNYog}%n8LSuW^mhR
z%}}Ej6%8i!3h#ty;!~avuMf?e!6|ONNX!4I$m1FQ^|F&D4&`T2W!uf6f8V!zjwBkE
zJ+c?KU!dbsrDvyjwgsGzI^(S!K|@z*;e~%ObkrQ%b9K9yB@{oFwLW@_h8xP+e3hJa
zS=DKbf0tyzrfltG#v2+6B!=qOE~{g4Y+i1~0~R<YKY8+SiZi!~4Hf26$DDr8iTeR;
zD0=<skku#+dG|QaNsUwSKi)n5Z-21i;^&FGzISQZTkqB5eO(QwZ|A1T8v;yIv$PWq
z({P-p^pD|o3KB2g+p=pLKxp>2q7Hc)dMxcIj}uhIz6k&84T%7k+O(9vU8CY7F}dGT
zH<Zzm|GW8E9)PouY^bdg6+cw#LF^_nW;PcG%A5z-suTJxJ5deyd^oHqte}V)1a{1i
zvj7XK%P!Lc6dd~=bedcyhugmJ9kxybILGL}bVr_oek9R<bsJ^ylOJoDya&MI(<4K-
zO{!?b(3Sbll1BN4f;Qyj1tVeQIgwK;X!hh|Lf$4R<oOUUzf&HdCeG7Aze5=}Rgtf_
zR7>K4_dEXF>Ssftg(vOS5*e$GE)8~AN+9S_T+6nxL1+1$k^_T`LVb5t4OWR`-sMg2
zzJ6lCvb}-k*^i32rc!6mVQw*;$dSE#ZYK+b_Wg6pj!;0;V6h6<5E1OlbpM<>W(kA!
zVwt@n9R6F3*aYhdqxK~!Q-@8KAkMhK!`CW{x7$Y^7r6-`*V*g!#=REsQFZLR6{q(v
zAN%-GxLFXp&boh(wzGh#@}HT@AtbDGULj6AB#4b7hkgq-nu7@M%~z&7r7>!(oG)sh
zAX+#yGH&XdL&{UNug7ADNTEOC$uAeg^`p-~y21?NHojRVRZ3yPq!~{dQ3xaTFW7WY
z%;4ym-7nt%Cg9hqI$wIN5dLUTm@>J<ggPs0_j4NwD6oCv9yLxFi|>tGe4@ex#-1!n
z@1P{+U*u*@g^S=X^#{TuWv0+{B~WHMR1*IaYIt0BTohYMCKj4>OySh`xXu1@l4w2Z
zGep`UhN4l?muv2tz{EO#?!%)JSfTg6J4r$uB|Bn|{&hBi_0`$mPBlxQ<r6%2wx83}
zlWtXheP;|8t6P^PZc5;<wGR%<T$aF|y$-7$Mj1m$UHXf_MhW!#u!XpsB#GQ!>*xAO
z#;~X0svrML2}~MY!3aD+KrSn8qrfHx94GDWOcR#G&DZz*%RMB8bViZ(^PLPx=9=h8
z^_0Z>26yy6r4z9(W=+;n5(Bo!az)*_A&DxL+Xn7eOXK@%R@uEzjiA->XW%<!0@l_L
z_MiDk!unVK#^xuDK%{#AiQX#&{CqcIYm=@l8m7<2usw`mWZX9()KUt^I+UhTPROCn
z>?_aRDn{@wdHz??XDLkgJ8dPiAdgon#`k;88$zn7)+3jzM0BOOChUw>#FXaXp2`=7
zpz5vnEHFwMA1;d~X7Q1+wC8m><$)oL6h}#QZ6V>}5~9;fGQRDvBPTT&g2-z5mG<5;
zC|OyW>QSeR%pWGh1$Pah_{FvT>Dy%yvlRv2=BuFV{D-@?orX{?U*SfMmqUfM-EH^d
zRgq~fx+mzpAxsSI%H3Qoj|nsKBFSMC9CEm-_g=^d4&S5Ltog2h_p3yD7+X2~Z{V3I
zurmVpZ4xVMSxV?sm-9Jd9TlsSp3Q9H>`!^kB=77RGTt_mY;$MR@cN|0sn?&3K$Gfp
zY%iBG{_(QX-leXNiPM{&S91JF#9&bWNTV`NFISb^=F>otr;WeJPdOemcky|`Ar<Tz
z#kPCH8c5+%$+h+~h8kP`l~;^ZakSW@IFZxaLz#UC8<&hBI{AR_%^#}xb2>J<)?5?i
zfB&7tN)zxKbNAFJr{F5OlJny>P24R}9=jsc6r}C=*RwaPVFLLF(}t>rFOTh4&NgL2
z;H$IdliXAsI%_L4;;)4l1Ekk}5H$lcm1i2$B~;W%IPi06j~1$pbv^C*W(Fbr&EDKv
zG^B-FyNx+%q46z7Ra&1pw2!Sf9pL0&YtU^4`58@Ax%fc-(Jc!wHduGcnok|+0_^IC
zftqOGul{W!+Y(CBf4+)br;hOjjia4c=$I>6n@0*@fg)d`Gf$j4E^e5Oo~hM9KGyS&
zY;`tNT5pI~JE@M}LO&J$$ydh#>Ee&CUa-NwIXJ87s5<5=_)Ob*((ps)pHe<EfL*#3
zRx$1zzp`b9)csOJp^x)ED~|x+=Vga+UUh7yuYV<bl!DIN%Hr?+2k_5Ea+TY88s@$(
zx!AF+f~A$aB8qwd%GPVn_Q-Pl;>&y|_Yq}0yx#P7;uwH~(otdhQ7WE}<ryH)D<R|d
z)|TE+0HipXuxmYPSl(zK9wV!O_VN=cYu*8;w_mEA5mLkU%Ge<Yl*Q)1^+kj(0G^QD
zmY*y+UTQzz*z#T)6RjMAV#)#fbW^TH1gc`rpq}gIVkxx3J6o6I0K6Q^)&-?<yx^d*
z<)u7HjGB%-EawW4x|*wW$5mw%2`qYdrcWHZHz}HKkO0`PD{$y;CmA<p(c1;x#L(|z
zFcQnyP`rc1YJ9DPfAe+8W&{x|XTRP;RAPhDO!smPLlGHCWgB%@31NzY#lwjl7A)Sr
z6_I~I9xp2x`t$_}phekuYU&CWaOZ6P@rEpiZnIm(e(A2pYO`y71)-K;mnH40-5`VS
zSJ=0%^ybIe^^LcahAcobPW$O$4*zpEKYVnspAVZKU2fZD&B=v53XKv>X*5?=_G1<B
zVXR$ZDWl39w&!x6Y*XR%OvMdHeqQ3k8I4rYayfG#eo*@FmAVvu&BOx&pZV}KVUMxz
z2{TyL*0Xto3juxAhKoOK<Hw}D_~fo-CM=w2+cR)n5(Uar96kxG#-~vy!h9l`u=&4|
z*}?Y`=qNEOw)yR9oSC<=*f?bh?N!=~Wj+$vSE8PIbXWjme8T4?gH7S7+xgL$PvU5G
zUu!aSRuE|`=*b-uCQvHxReLN;9F?yYXYd#cqqOGVpVz}oV5xP|ZDOrBPJj25dUHku
zg;JSY|NSwBg}V5n*EDf_Ypyt%Cm@EGvJI?%B^$%k&?@2cL~&egX+?eWLJaSawG%ry
z{6D%Q?ATE`aV*kn7khU{9Pdi|G4Iqc;33iV$!CT*e)PNAHg#13W%zYA3c4}iO-0v>
zje+7w*WAc=^r|GX_0Jj#Pa6S$hsa1sxj3$?NPek(hk(7!LVqL*jiC7Ht;oKW5_rp!
z^04fs6fP?GQDU4pz5SGIm1md)iUl~0ToRQ=_kaB>YyTO7kx|{=m)|5X<qb*xwKoY1
zNcIATO@?68-_YpE$*r3Qbn;i$%3xlooO^ttA!r|aL+#Ndp#9<HV-*xRbUG9@Xt2%@
zw$9R>ygn1~-hZtg4iy}~XxdOZLp6lm{5*1e4N|BbIe%TuP7!ww&E1RQGlYyDFU9#{
zB5M5<9RK-C3A=x~<>t;9z^)HhbuIFxag*~p*XGw`q+EG8uRLJ@3bVCCPfAI+rdsmS
zn@(jcdF`bqF=YUJNnU?4AIc#2ftA|`%_=A)_xnr0k^v+<I(c1xNf!0@*2UR0s^Sl;
zXRp=d3}KD`u0SI@c~l-9Xnfa9!QQJ~J9au5LTBfoSjPngj8+>A9C@gQuh+A=%+n0v
z(b2JnCSfHU32!@A)l0>Fg`&i(!-jAm%l*Bj9T^9-<(^2rpy6&tV@!d$5fpjGcJ38W
z#&ahc)tRr=@iTLBV36Y}qID4z=>cWb>0PF04rt)kv^yI<nlr$7vqnq&WfhE4^D=wY
zLPr}h4ZnpK47e=@qUR!2arkw_@pWf3v9F%pI(WhuT2%>Iv(^;MKHvSfXss4r-tb|t
zZk-8SExoAUD58d2M!V`2K5OBLfG@>5G*dVj;NVsNObs2+eQ(k5(MIOoid%}pOsIeQ
zBR%LO6-|`=oBay3vB@s`WYIq+9Ct{k@tV^xFkiKew@e%BlQTNMEto<5;C{y&12i;9
zyg|!}(#FoPNb!pc<`DVu-iKqG)G-d-So31qI83`6pEqv-uf7c2?P^!YYk7jndLdd^
zQ1EBH<%}iNdz4qJ6ErZdMD|_qaZN1ZI)3}fTNZ@(614lQHE_Lgc`JJ_9koi_O7a@m
zP_9^RU$a&N=j3-~RH$&Ci;lk6SR8JvW>a#Q8u%&o%W&I&G+g_Fc%c3iN8|E@PMfUI
zz~7zYt?mRWid(8>>JI@Z>2;RuE>%bJv}Zc(q+mMBBjJ;P71UfZYX3%4$G^W1alNlr
z!7GZ_AFR=~0!r%wPk1H`7w;UVZ<r_JC9zL_M_5*1Nqj)vGEBubgSminMV#LK?}-JG
zZ3W?XOxv4<sQ6u}`CM4296s>#DzMeFf(xvG%6T0%ToxleOO7O=z)Y&_F-a?snAvAk
zYD2-*kG4_IHA*2<S+*y062N~;$D_4tRdG`5{!o*PB*st1onq7j@a@R@u*FLSm%d&8
zk-_0j0#E%7w`hQnuzhJ`zRGya`9|~35)o9Bez`8s6rfb>k!eB@8NJvZD&xllF)i?U
zhT|w3j8}G^?wL}=tZ?3kJLmZEI#FNdffE~2Xy1a5Dk|VF>ZL-nAH1lLU^^y!ods!m
ziiW#_<T(8*GD~sWDr8H2uhkRg%-#K)KXl08kE>hURoFZ@i>bpeLM*}HU1WEt9SI}C
ziWAqwaU<I<XKZ^HCl}(+)KrcTv9~IygDlC7zdjk;ztOOO9X@<b7Ye0tcF}nK_Zcp1
zmv^vJJYfzyt0t0fL=y04zr&z3fg3gJZhCiddP{BZe8STZNql^yJ4rQ+8~Z0^Vz+vl
zK^KF_m6<4kV;c(v`{ub(Yk<yRwJ>4DbG>0ky*Qq}e$`z31`qm8H;CTQVuEevxcdiw
zapZm)Q8s^a6-G;J{4`T+3fv+~p{EauVNbj6Tul})_E!{58A_T$(p-6@?_W_2>e<!k
zUBid(f=M@uGfd#7*7coC8&Nc2Pn`PxjUONBEpPV{FaeQAZ2NN!BG|dt%-z~q06YBl
z?o7%shSg%W^@&?W@S2$YyGN~p7`tsL#zoQ?A~ru#CmM?2$Dx@W1)joq%`E)*@OcI#
zxW3S>GY~;PxXbUzD~hQR{(2jA8PI;dQhdQz1P^QvDGb{!hD#ra&Rp$A@G&a-O>>P1
zE@m~0ZQUl0A=_iui1{1A&9V3}C2di(Hk~)@*(HIsotBNAD~#aE_r#*8K2dCVQF#1j
zf+W^G@ym_AY6#z#evQ>}dd3H@BYo1>38>EZZ|s<dA+*)l|J>CnhM5H+bmEj0$|!E~
zapN}xmZ(6^h^IJGANC#YWJ{xjoY}v1_YHtcPW~(W5yzaFy_c-YNvN0pY?+v10L%uq
z$b(7=yqWQm7Ox?TCo}f>TCO($ITuBRx`UFqbdp}UwN(yP*mqkFs2M=gk&730dlGOV
zd~-l5$7_AuE-s~VbH0DRG=}XYg{flpeqLruC|G=Q+lDE9cx&z+lkQGL?L&cX<C$c<
zl98YIbVMJ#x;yB(5z^@7awhv`x-xP#RoM%T>BE*Fm4@^(623D(5zTX21#8vMkLXS7
z!&OTA&B$pP46A(mW%3HgJ7f}^qC^dVWF+V;=Prj`A$`vOS}E9K9C1&dWdJK~{*+tU
zDUU?gRjO{|YWSnK>3nsZ0bCKe5^C+Ph~cFdrrE-rep<If-=W_CE_i!MC4N`Jz=G6*
zL}PWdGpY)-G&6*k_gp<c^^mdu_}k>)z8V<e<pOo}hH$;_-nh+mWjy({&8aAwj^W|-
zptCNVe6i2wQ^`?5zV50Gxfz;xZ2eT{ky#^H|9zy-_pmC)ZHix{9@oO7X&dLF?l6G=
z>IrQxe+vFqNho*`tc}Oqj|a=-7=saC3(VN5p_uA|-esx|at|NkQ#@({UO68%3e>3B
z{U_JbxLyaZjVGsu#+yRp=}aE0MJm<|y2$L5)I}G=PjcULm;iSL{w1{0u!$8UQE8})
z(hR?u)M_(Oo&8*2cTgRp{+n#A5!XdvbSe^`o5LQ;n39U525t;L&ozBb2ity3+|S|U
zh`-R?CY{q7_{d{$rOO{})EU(QYZ(?$q?<D?&S+po*2J0p%UW2Heqm5piw%ExG<e==
z(~&ikc$?j#iR=L_;k{A-tKuVLXx4PR<9e{P*oKZJ`bGR{sQ^)GYhoXB-Y02HD*NQB
zqkG!9o`?y6lG?l7>waip!PNW3#3m}vd^ezdGqr*x#pef;(mChxR_V>HZVHN9e2Pli
z&*Ax`q+9r3j*n>Wp^|!4@J7J46PZO;V2&(3r?u*6#&>@-d4P<XVhKfNRaT(O+(b4`
zpyAp5Lqbl^6fl^q9(3@!6)1bGjv^IM@xs#=f75hivEt`~T1TN3n3>*hus^4UgvCz_
z<4=g_@IKj1<**f)hD;YYWOI5<1J$6gNfOUH77DaDSb-KR$nw+?RkULHsF7BQW7LWA
zhhGG(V1Jb67jJ(R?7Y+6KIbNk5^io;lMey5XWSdxXs?X!)49!&j;oRUugYnV<5{UD
z9Y)=HWE3LupKkxY3SU*ZYUgMGn6K(LO1D?U$sL)}6HIQb@;~N#sGJSs_j<CztmM({
zUZt9b%u1ZyEsz(m$O8SKf9{iBvUup?cxKnq-<E78y{BXs7R-^~<Q_;TA?s<#SDo6W
z7Tf5>m!XB0aO9Ll?BTaW%#MycWn{M4^7g-79+xLA;G8$fXOD*zR*Ao_4&JxW;-*)1
z^pS-H^d0yz!1GlSR~L*^Cao7*0!+iJN^;Dh)nhZo`I-clztIkPkh{>bEP0ArGhqf!
zv7*fOWN}=j^tfBuW3ffx?p^_3J2UVv*}^J3CWf8gF0@#OFSP`eRm*=YWkQ^vg`|sv
zDE<!s0RR6Cmv=bTZ5V(#_U70#n`54HI5y`wRv{EELK!7O8Oi7~LJ>s~4Xa2pqGYA~
zUZs-Ch_WR@GD0Hz^Y42-*Y&*D`^SCX@9@FwP}hM??2&EExky%hICy`mLFqLY5}x#H
z_qno-?bh&gH#n;YHW`K6v*DabV@>Bu;Bz`u%60yU?w~FtaP!<KKgEHVo-_@cw$dXh
z+1o7__v%7j=LBz53Olk(cYAqh5r>+Hsb$JdI$-pDne*l-8*=|}QhlAoh|*&1oplU!
zz}ST#diWF@`tuBTTqcnT4g2=qcwS2ZgipKeCC-LEixFbv{xYMXJwAKi=~KYs7aM)S
zDl39JW9MInvm&CS=5!F!h6<H3aWi^0bSts;y0S1kI>Sll+GnE;zfx1?n~7|wZclF&
zTRR7O>vK<Ca!?DVUH+?Fy~KvJ<vhFH3%C%cqg~;tKrLVkea^?oz>ezsgEe9@dC;+S
z-<3HIEl?NS@Hkw^j!yiP{~Gay7b!`G<<FLq!B<Wyx!RWl9sX+^(!9WjOdoIel<y~l
z@XusHwL_dJfcXjgO&NalfUHQpv`K>B?Jo}TdUK(oKtEjYNdXl4De(DV1qnb6m$#O~
zjesg%KiwpVs`>|`lzm80^q-RpTIWH*0t~HJD8gu~ki&k7Kmz9a)`%L!i@dYX`M19k
zK~aC$M@JTkklxatC~=DqJ+>RR-*s9HeJ$@g`LLM?$_^hFv3NX^nLDIeqbY$>KOEqZ
z$S1<~cMC?R%lzn1f=JYLJ}GoU+3F(k5)tm~+jaMTz5vRjkaJ5}rIGFFafapdL?GQ9
zQ`pxjh~yVsbM6Yupj!)de0iZnuzSMhLN6waqM8G7o)lR`>U9&0i6g>Sf~JL5qzKAR
z?mBzQT@Lv+XIF9W>}6m&C9m;U6!{+`9k_W%9+g{kiGBM-gtFrOlfN&EBmAD6VZCn(
z2&t@J&E+P+kwbA^cr8h!w;v<@R8vB=cG>3aUL;6+rEskBuM}c;yFcv`ql}gbLwCNn
zlVChNLSNcj8s)PL5)OPJ08v1$zo7DG=VCuQlA&wtzX=0Z8Pp!`t{SMQilmq3$j27Q
z(CdFZFy*K$QsZEuQ}$Ow3MK{ry?CSruHj=Z7LLiGDk~%IntSTVuch-+@qgNoQ?Vgj
z=`D{+ZXWQ_Y|ubHi7X=q{uDTwdQ8sei~_3k`jT5*p^0#fDTK=NI)JV<B?ty9B2VR?
za;64E)bc3alyX-WQZzEd*aDPL0WEkiB$|jgHPTq>y7d67_)23ws*IY#hPbuv6Op>k
z#n?By3_xt8O#i4h0VU-2hxX+VQAOSKov2Vlm~g%`AiP9C@i-Ip)&L@kNm{in>okG}
z2H!-x3>B0(*I7D<CnBTqX2CUO6KHm|kv+kqik|D(TSoJ1BH^nwb4P-ya80oEyZ>=j
zWXaLreZE8;J#ZDYf9(ih;`omo6Q_#E7q36Nv8ambLPo0&4FlM($i8C<RYeu5@rgYv
z1ax7K%E$PFG<b5mVt89e6+PWm+g$!$38_1rHm26lAbddXD*l}cYQgR$His*qN7>r3
z7q@887VuOuOIZckP%`ow#pF<H2tQYlx+z#S2%DZcMnJ;7yUIEnr4dd3{Q5yNQ>eER
zb$oYL84b+Tsq@ZCAZyPVvkSDH^LI}lG<hf?^S$bIS$QJp^wDD^Mio;iy6h+*Y@~=L
zA&?`#L;#t7l1a|lrhx}63e++vpnU7+^>q?_NTb-@!{QAMYzFBq&LTN9v;Icr<vIsK
zvO0^bQ8YL>dGFK1Fj;h=`<7#LJ~QguETMI)(I6}}Q&5g9gXWC=1#ZjY5QP#UZ{H2@
zT(NkgWo#GnwK5dEGrfW7J{wDJ2?c1VI&o7gOcJGZ?++8guV8E<xyBko09$i`qhw`q
zG#ch@_$O@<JD!*&BXNofZN2#mU;l}qi{mcOE?k(ycC%~g85Wp8K}_WEvsoc@j*IT;
zqme0$5cWbM`I|9x42ss_*#yyb$`;XUdjgwKXI*oVGKSGMV;zyb{D|H@_L6SeI3{v?
zRO9Y(BY19iWH((cA8OO8Y|U^O$Bg2Vl17RQ;ib`5(H<*a6#g)Jzbp3y*6h~ln6h91
zua^!SXkg$*2OWO>_bq)A3(Jk}{|p8&e~vNaVj~BVuIx}g*D!_I;(sN#X6OUw8C^*y
zY=_TtCb2)gW-w>VRQAwWJ#dH!v2(()B3jq<;PcSmShsyb`3Gw~(8}7K6dcEl)c0@2
zR0b?yj^%c9&&zaSK7p+y!-NTa(m5tTv-pFp2%az`^6NsOS$_FzO-95Md0R-v;4fC3
z6PYC(r2{dVeNlRj4CvRG(UPt83bvd0?5Nu;1%eXoNBkb__{l<5*gIquQ;50gzI2=d
z$LjxuD$C)}=DxRL0d?!x7p=ATAA5H^(o^_7@jX3~Fonx$!dqA{O*(1#fHr7l6g+0m
zq(```w&t5wbVzt_>KFMhTCiWN=EwO<^eCC9WbVi<dX&1HmYV0Z!xIJ0dfwagXp<7e
z`QjfA9bFKA;y6kMiBqzR9v|tEm8N`wlRqPRduhGX<_sB#GG51AcHxl3JmbIee@y5h
z*uK9-M~056>$T?BacCpOyXAZi3o4%I40gyQfwu~$M1u?i`e>i8Q{~2nTK+XYxJ4uZ
zQ^&GjRR;sQp&T`Jlgfeaz<+ib?L^qW+bt<Lml3^~uKAj5#)W9j1KnZ4L~vEhzLb{C
zgqGw)m9ztR&{}@{(*%hf&SyXBpT5P6E^#WgKK{;&9C$95@@8tnK8pT{%6BXXrzrI%
zMh=gj&;{Ikv84gOB`V1FqHKtKT{}BBiXTl&s@4Av)&L2cyr#%hb`<J%`lH-m0Tj=;
z;8(q@4kpYwQA%o@Xhqm9pOhqo;JD5c>qK=phVb|c3tZ?;U4zxQkq9#URw1dNq7KjN
zy0^Q&^Pq1c&kk7Q#n4^1pciXHYVaZMLuBtZFDhSk4Bf*aft0TJJGVYigHw-r5_=T!
zD5x|zC7B?F%s07(e#EIk$AQ8veQ$pBtSsJytSgPiRQMVfBGf=)f%(SXR|3d{PrhlN
zzYMake{gu~sv7)JKYDMsz7PuAVkc|V$|8ftw(dxz1_aM6N#jq#$bd8KuA6{7a$s%G
zwGdJVU59)1^wFZIPTSG4H%<Xj%G$(p)79ZFx|YXlFOJ%iTAW)Ll+Zv_RI|LX2AEj9
z*f?b@iTsN1oO8dfjC>jku_j?nnAcNS^s?H8w)*XEJ=o!8+lBE;ng9_(u;4$<b<!y8
zcFi7*W>rM@Tdhg^IT1qp)59P2$smVxvEmgMb=2^A)sicQ1cwr2Gb5Sgka|uPM){?I
zY735sVBTa1qR+aLr7w>nG6k6Ph(uI-KmS60kQM~9DXK&VDIlvAJ*M~lL?r7L)+BmQ
z8@vPGMl_cyB9Rl^wJCli#5<yK!(ovE;(-kvTi=wBV%jcy+hGz){73cc@zjM=?R-=1
ztOR5#FX?KcOh%DS3ty}j^x#8i{qrp;6~x!wM42`vqmu!4i%J;=5SaIBq)bc|m6kZZ
z`=&%js(GBrFU^dg$B=CH=#MJ;FeuG`;xh?_+s%Eo|7#3)(*t{l@2MfzigzLgKtda7
znuN4$Drj~NSoBG%qbp_)i&TP$=#9Wcfodi|hZ1kTqq{na5j(^8u2%!CZZuQcY-n(i
zZf+WRtD{<C0=3Ie4c!o$NVb@wfv{zIXM=`1n%k4Wzpt8rG8nDTzVk7KK>hokdu!BC
zS*Z@A(FaB3(Zu5{&}s_e!(-%sbZST~WbAADdpTr6bBcJzY6helqWW!qRdjIZD#LoK
zG&(R8Sh=ZS27`?U8R`ELkb%T$oNBu`a$gA{|By3-?sG+Tq2<cx`{QBU>ytw0)X&RI
z_nFL~t-mNy+ENJ#IU1Q<h~Pt!m$lLEc2juJsZH{4Q9#PM(aRYI>?rBtl96?SDF`VP
zC8rq6ql`EEr~Xyo(2s|=FG#AHLb`KnH14r13RRLM4wd}FZnQZ}PrRdnr0;(*PBJn`
z7gxH-e|`qbjkbJY?Lvd6YzyvFhPx0hdjIKXH+rx$H(6U9W&q#~kHyA*2_$ki;X&-a
z`&5hR4td`QfF$-cd{2rfdgJx9@@oDUYTx&4b#GPx*}iR>;-V1J6QfkrRDY-b4mfh(
zNRtY4nR@qbCJ3N6do9YOY$vEgRlC_2_M1RoLcXe~6&_XHp~QqUPEkFbUh@h>7=y)$
z-a0*FUZmTw&hyat7nKt?5MWnq1W^|~_dR{ZiIj13R#$C*Q3t%_%4Y@*q1SIid)u20
z$&+VkIv1v>4aJ!=>%xX0VBS?HdXgE9j0+{EGX10)r~H;b?qmS6$8C~FY8g=M#ezKv
zViQ!6pw7G>`T9T{IH+EDm>xa!P<^v|bd0+4oS|a(oE|JNSNZfrZDB4Pt3$UVzf-j(
zuIHQ5^q}Zj-H}6|*DzjoLoKC^A?g}G!{D{sx)62zCF;*v!46%ke|2lQm)dA^=l9QL
z9Vj1~o*DnLgsn+XPJP<$qLv14tKpq=Ae`c*di~5IR`dCZ{>=V1YNNoseJ4hN+}y&r
z(&O`3P0UR~(rPoc!#6f*QH26?`cDG0sI!=LM(jH_hB_*~<T`Qp9c}pJ>#6^A&o3;D
z*>jlA`!4lo_j9ucT-s2bVO%NpX%ef<m==hTD!{(U{OFsA*8;DH%`@K{$1%&l^Y_2(
zuE#dYlG3NPce<K--L;tS2ZqU6U@=<Fn2n#L@U^HNf8joxUwJ-?z2(5~3yJ@LH9W1(
zson7xYxf)nTjh6*`_4+gi(@DD_3E$dHkU{sbSZ6lacTs!3$Zxa_N5!E349GC9uhqI
zNbs_DAHhx&9<fzA^kO_8WA5(1yYr7wTuxBu9l;DP7idLw4PeC#>8x2QM0mx(=p8lo
z4P%SY7~XXMhB21^iR%y71lPrjhxu?L80T_lj9C14jH#wC>SCb=D6a<Y;WHV*s?K%t
z=$snEWI1OJ;=ZVZVnvi`Xu$~f@os&=U5{~0dWpVKk3$^-(KDH+#P3+^aChOWut{wD
z<>h|n-D*%9d)W8KkM9`Y1PhmQ<rJ0~m*uiAQ56J)&);juMllzMp0)!#Gg#-~^Q!eW
z6^Lai{@u|uhRu(2sQtS;ht(Qi*}o{J0=DA_*FXIOb2jZ5KlgYZi<vUO$@mfA`Mx1(
zf9eEQI%rk*Ky4ADe<k7?_DUIwD;eGHHcn#w3F*?VAOB#cvUB@pC6&QHQDuVBZwi}<
z=K9!h{V$fO7uOjcr341T`|Jj+r?D6R)mIqAu3&<)Rb`St6rpg>*vPosEXI<$v{sw9
zij9uRrGB$h1e3O#{g=yrV-Z<CZE=h1n1x1yX<MTLB!7Hp=_Rp%<qLQ{@sHlZy!yRK
zIBf;!l-Yj#IDQe+s?Ip-Q$&ZF$_`TV9?Qew&>QcZ@k<z+p}oXcA`Xc%eq-*@kcTt5
zDx(bV|6==Oj)k|6GN1=i(>JD{$-$NOn6%2W6>Kv`VpjrULW&39l#yw2aGieXSAWwg
zW_}<$G`WohrBA94iFV5ZgX552IM)XD=O$13C?7le!Xsg>8XyY?Dz0j?-rT|z$g1)i
zshr4J_5E3XURemCuxMIU(4l`Pd|zR9JjfxX!>9PU47h4;Tz1vNAxC}8(NcvE8Gknx
zUks3eusnq>k0}OJSe5!#yc>_)o?JPhtsw*a^LvEs-ZG&G@VO9MEP$5vk~r2^rQu`*
zF~O&c1;M$Z&$~;7&|WM47fRjIz}mT`aX^qA?Qx=R9v=}wVINjc<1lGhS}^=?D~%J?
z&PQ2)v=K+zd$OeWzLbVn`OC`pZFo>d#M`6i7bKC{4wnvmmWJ8>t~n<KKJ;%Wl`Y9v
z8ntPQx%1#;Ak%hTa^gK6aozR4{c}SG4GK%hkoL<!Ec@_7(@X*Mr4t{-^+XPR`Bc4R
z_C^NOtbP6DuL>chl+mxrmlaT72Re?tWTEiPSUl4c5p-UZgNZLj30>LG^;S|>4(JUh
zot7EIkwukB7Rzk{s(vda*lR8ixn^25$1Y2vZcUbZitVb1H2V3LN0tIaU%i#tCn=5C
z%M+5PB{Y!KO(pM5Jtc^0ar?%QCWGukPRr376A?*Tn{Zs40ADUVW#|-<Lp=k&84ms=
z<m{4uT_r;m#y-CP`>a|Xowv^<#AT5YzEh0C?x6t|Xk+D(hawsw5x$*yqJ`MM`0F%(
zCc<SJr^C3YGLqDmp)Yx?jaW|pTs3||hOgC~7MWcH#L(CEy(ET$hOCsn-Ta^p@%1Vz
zFB4P|cmJJ$Q^GpvXz-nbijukzTuGcH%d4Z^k2_;MJ#>%_8^2{nwm$6Qur>OTuYnXF
zA57JA&_P`{A7zpZjUdx#nKxiY6B!6jY-IOS&~U80<=-DBFzDK*5*JBCCl_?TB`s+q
z=a4tP4-mkV-}`{UULvY?asQ~2uZ6rnB)srnqd|%_`Ti6O2?YuHCG$*>&~tNUTM4`w
zaFOjb6&ZJWOTaeI`LQPYkywdcTsH%|Rky3bABd=gbs%y<NEJoq@w&y7n*;IjlN?_+
zA~No`oQyG1ME>F=9Vs~rI4V+ttB%n`mZuKVWgnA4ocGdhZy&XQzgA3iKWEiZTtU`;
z`QxI9e>q+b?_vR^SP|g_zZ&|wg}pbZ<wf^usyK60EFjqFk}(aZf_&LaCtVnD$b&WM
z%-;@k81TAJ)%>W0Dmmpl+u6pj*D*@<N>1ir`ImNwcu@g0ze?IW%{oO*9DZTY^U)0a
z`z5lowB%61m!RBz)Gg{|29D$Bwaq{>ZwyY&N~6?E$`Tb!%%Gb*ZT=(E6dXIR70ZN3
zA}wJCi)<|pc*bQOXtPR#lCV$9ou;D5f+tU*Z;l(<t;U%59;3lo3!jA7`vuWLbAFOw
zBQNxoygo<y0DwCfJ74&a4;hv9y?=U@4=#CVckeR+h#ac^w|j>dFP-0WU&Y~}a5BQi
zK8OnaW?y^FyqJ+^mVCpYHXgQxWk1KBHvuK#o|WoWI<)Jwqji@a9w4YVvLM+QdS7VZ
z$Iq`|lQx9GUs8Cud^A1!b-58J$%iz=zL>!VDka_>Ug86z;dY1jJAH!t{dJYAqZfNP
z=TaO0nhzo?J)dRn^vROSb<>tlPpI#g=7N$l_#j>Nbc2Me0nB-{eB~<}rdAezTfOhk
z2f}vhx4p~s;V^f}JcHOYRmr_$DcX?_)cy>z7c%O@k;5w2T6-6%PfrMs6<P5?W6U2+
z`h*_58auM>S+GJ4vE^>Bbl`&%G0o1lpLD^_d8@CCZi9N-J?B^4Sw4tQOC;7A=|b2|
zhu&OzI$)k6KZq^lgE0m56pkt#uzZ&ur!h<q$*Z<arN8;$R#)L~cA^frd!<Ly<uZT<
zKmGeA2RtnDh~%VIQQ$M(q?i95CMfDi;yKcW2X04=)MR4{3|`rHSo;Sv)XJJ0PI>Ud
z$)j!yo1e5{wIG7)(s@?s`86jy#w!4oynDnqytDzIquk5O$__Uzda^5e1z_x3J6jn}
z8@|so^l;wg09_e{n)>I0@Y(#Ijm1MP(B0&$+)d$vT}SE)&eRHlbMnhWe2!W`^CTE*
z4sgTUaNTTLyD->NkC6PBwV<NG-_d^$FSH$~D$T)(LPxl}&zmMPJXFc-VpZn@C-;z$
zpZmq&SW&s*y#z8y(dzFjOX9)VFT5t`r8s!quIs<;Kn5i~j-``g{Gc}c_V{TFN!W9+
zy!tqS43}Iv`1KV9;2`_e;ZIXi5LCK+2V*CLy((>Oh9(G(w0L>NgVNAGAA0Hb3JLn|
zstyze2mzD$K!%u^3|RZT9Qrj+g3(P;=Y8eEFnoq$sbV4voB2&2T6X5a*3h(IO9Ui6
z(-luy$U!cHy7MtEGQ4@@^B<e17<_F#I~#pi9(=OtJ7>vcIJ73JdaGX?`tMxh%@0z5
zk1jqP$cGFoCX}{yFG;9%5xd}#p$JkOYnKRBWLR4JT;oZ<3+kATX;;@P!Ck)r*Fat^
zc#&RlnQ~YfG$!?On}?O5^OSky`-@sIw|YRCjv@m-LmVShTLd^4ua!;V(1!bUe^iS^
zWFh_g>WzE>Rd{IY&Jk3i4XXVQ&)L$+L5Ckx!(~x5@C~n<?><g}fe6jif+@M3E?Z9y
zVpfM?Huf=94IPM1sy)=xDG$^TYSGm$b%+j|zm~<P3vBc9>si$bFw}WsDmzRAkcPS2
zDK<S=Uw;PT*A-z&Kkv+eSq<>~UZ6$CuMb%{?aOM%mEb5VTii#2CKv>G**2;efJ8{O
zf|ZmqC{Ojfaw=&8j9X8y*%(4L<!M#ZTV<dW3EjN^O#>Y5TbM-xjew3dlK1xk0zCD5
zI$^X=1DGs%HcQftA#!nb#;2J8c+7HMEleH$_^0kiWhQX1HSUl#p9-Mhp3pZ=YB2D%
zWI(5y3iviV25&tT;JV{@|GzaAkjvXH6?6o6&o`TOO;-gjQO(0Xc@Usvb@|D&7XShc
zt})NJRDijIClci-L4g*R;V%Iico-i4!qGqg!sWo9mURk{I_&>w$cY9Iv?d>N(g^Ty
z@F$xSk^@nlv}*}hXrTIdu*l=SGOQU6m9aF-fbb0?md8aj;0bS;dONBFr7>}V8uxaA
zAjA0j^kdr2y)J6JXWn@?Z&k+VF>z45HftPHNQ1_gd1=@972$SxjIf1=2#`MHW@;wU
zz=5gBFNIqH4oKwhWmFRc{2sqn!5wZ3<cKy|Y|6n?r;H*mYdl1j+w2Wjra@*NfxtU1
z3tTR-T5It<(7!D}D4Yavq;r@YYn1`f`_U0?DjYDIBggnA7vRG5@*}+}Y0%>djb4jo
z0qL8AmVNdBg|qE;!)ChxOA1Qf8_NhFtrZBXRJfv6{3k_Q60Vl1{n3%YK{Yr2f~qYQ
znl!$=sWBD@dLg$P8s>B`RV2+ckz)d3Uydfbd5Qx4we#xPU7J*Y)pfs<v&MiMxohlG
zEDWFiwV<H&b?Uf|TQJ4g80tD~XI^p(!3UM5+m}bzs82)!YNM_h0b#IA)h9~;u=n>b
zHu<kneWAr)X4DXRqD$PHO!-0D*tfVnevNw8fxw9L459r^<3<uM9-d#3N%zCAQ<q6-
z_0tUl2=d$n0XjY)H9oEIXWXF5{oT&JJFgG__Am^)@bZGsxcJA%Hk;J(V`=rr9P}Ya
zLA%o?h8yy5QuGr8TU0#q)S=etK@usEDki}NvK)K^&koYTCE3@ij<R~7b>Tm4;{^_o
zY@z-;??ev)dq15kPtyf0$qC(-4R&C?gE1F{;^0@(n2rmBE-at6{4{FF4qIlAG_y(>
zpj>u6$}d6(^sk+69w=o40X+Bb;1xz-tEhII`AdOEXNQ(_t=WK3-kC1y%nW-C{j6rr
zQDAawx5!HYHdxs${D{7r1%BLD?v7d0hF^ZjC!CE9yj_&6)K0R&<-X7}uj91gUtLO0
ziy|9b&?z8r;W@xW-=w;WPa9lXiz^SEW`k&>*Ibc(oG?oX2<<J@0zL1^Rq3y65HR|i
zc(0KgIu7vvpflD2^ZNCUb0^ush~9^P)twivEGu>=^pk<C;mH0+oCA&o=YHY}<pb3_
z{VJvZkzso9N?_bF2LuKGmfy_AgI3j2K$9XFYD147KDx{a>b?VYmc9J&=6>^4rLQEI
z+s~o3B+d<FruShX1VL~vnd;b^LIP%$JQ~X>9^lE-OT*s~g6sq<rYb8EY&P&-c<s*%
z5<N<#5BNnu(Yd;9o|^<meHr3D81jLi`|Nsdg($4!yriBD5@Gj;UdyJP{&0*Qbh7mp
zhrO*V4b4?Vm|1?rb3~XQ;zTnWTMZ@QC8G|;e3J;ww_QT4c6?+-XmT1?-vt~#?&B9?
ziEz6rR)6naL4d!aHS~GXP!h!BZ5=^`kuqfwwktw#;+4yFx*8d1YfF)O7DI%ee@7U(
zMuefj+GZ?nKo-28wna&25<&3vqvSd}QDCw-Kl_+l9;(Jty9Hkm;g`)szv@>pFj<)s
z5wTMMdT+yBI!i>5I~}j087cv<JPO=OvJ~N6RcVPXkf3Bd(otAL3fktR!{dJ{K~Lw|
zz`lDV@O6oKT(q$Z`1wn(^cWFfLZHv!vltm}Ib1vX_qQ~B`j9&GE>#5%MbrH2%gDg%
zMQTd^C9~s|!<mi)s=%F8^YZ5rE!cx}{Yf*j;OF@}&Rj$typH}mbVynoxKlJo&MwM9
zh6#PVmWc*D(EQlv%|L;S6QB8Y*5u(@%IC2{GffDlo^8SCb)dFt;OCod1&}n$cqq$5
z1gcPC604Xln4g<rYur+V=8A>hB6lLBX8Vi1veE;QT?<F07nR`9*RBfI3?jtJ$zBw_
zst=CzuLk|PmEqVM95~-2!fA8&ho6THp!M}Fx{rAT2>&~t6O%xM$CS7#TRkIiWVtG0
zZKnd0x`7W1jfwC-00030{|uLhKh<9x#_b)hot0~Eci8LuxmKhQQVOB6Q<Q!csR)S@
zNh!OGs3e<mk3CwVVPt1z?^XQ#2hTaLbKdXgIlDcvUKnox%LB8#l0AxWd9S64PP`f@
z`h<+A4;z9jqnSRhp%M%|zUdHRr3z%H<sn;cfHE2J&Z;0K&}By+JeA6jc)*)xJriK=
zr2p}WYf5mEP}`)}s|Zd_Vavbq6!^$35j1SC1WLvW*Ouz!LHA-~R9-9v`uc9EKG;-*
zp^t9jJ2zyZaPoLp;{XMwqKy<Eo>zqT4HS<eIcbnglHlswYXr`sq+|Q46yOhj<?WqT
zJd{@+zh9<n1Txe!fnR&&!T+(=!7p>-@IxTQfnaO|`)<<KdG^Xd!D$xbj&NZZbO<!$
z(J+FbLp@O^sj_g(e}&n@QvlBMRhN9_F@nP>tQV8+$v{Lk>6q|K9ynuWRcW=G=YiXS
zu32kom=*N8b*qvSUi6k-dXP#1WN}BDhD{2*QCd99Ul#DcvwS+$h5|EDzx=xD@ZilD
ziKU1$!1Gv*KjbZdtgk7*+OJDM8BYjW5~P6_Y+oWir2`yMtdO3(BMwCjIoT6M8yHn}
z^hg*0M6bG>m{S!6qJG0pW$H2}fY0gYslk9=zU$+qg}qSnmT6P7Z5~S(TUrg?Fa%?r
z<ALQr1R>YjdvRTO8fzD=Jz}e22%TiJ`p6-Es2w0g;6f*`HMS%+u?q&E%%_qO$;$^r
z!PcLS299A3FJ!MT6zjva%~KT)XL*2kEaCa5;!!N`seg6Mx*klHj*2$Ua)VE!Y1><-
zG0fM8(tC=c2g$g=s5KQXNRwN=TCFvX8L_?Ji|*;do@`o*T`LE)FHF*X7n#ILrRm-4
z2X)|(toeaMFWG=0nC)?9+!XdoTK~mmEgdjWa$cA2WP$kX(9yO_vsfXQ_08S{ZCE_l
zXYosi8J_gG@5$_&$LvR5x%V$>fro8;y4x>CIQ1{<g<;MjmbG3Xf9|Ljs5qRQdsD^$
zUM@%7T;i6o;S+b&t|Co1BF-2&(?AdC>j0zL!&U6&9?^hl6-_uNt9LGlo*v2_tur!8
z*RjfpqM4F(4KV#Y8#m`q2RFtG!zAW6F-@}<PaF9)K!8r&`v?OaxHxLBxtRXL2H*!f
z-+gsha;$RQK(t_?StTc4zJn>BDEghusSY}NUDkK9XhBVnp@l)378>b{4jqXnL-Fxj
z+kCmS@b?HVq3s$Sh-z^jw-6%3?>Jh1hEKGxr%O9+;SW8y)r3cfJ|n?u25D8CmktKM
zPsw$iWrXlK_T%(q61ZzM_C;N$1MTC{R6Hv){MR!>JJUpj%yZ9fSN^2~{7uU%MN}5(
zU){Doc9IC4UBsui(&@pziTPG`A{$&#&8_zNOMprGE8`q)3}7zKn`IZn0WF$u^X<|I
z(C@~Q-9%x8hkkEXO>;Tn0AI?|AyWcK7-gnhFk*tF=}%1}m$-q>=7E{<h#G9It?Ede
zW`^RW%r)jh9Mm2T7CyLN4fG#-oRP?5fyt(^5Puq8z^XKk-!4}L`dGBW&dmm*mu6Yd
z`0c(&D6LskR|Uz+qnD~u*+H*1v7L2=AIf^I|CAsVD4DMrGqBqO(;WFFS5pMxAUSTo
zs*?&dG^y<LlDMFv_nuno>Amo3!6k8vMFm<H#@>ddbAzS<)5@f^2ryVM|J!a+hP<*d
zPMP;OxFa|T=_keDAPdcXuQX-2aV%Codx;06Uk%4NJ=_OvS7%?<#3(}+!<PDC6F#V+
zEtSA+NWlB;w%?-<l;J~zeU{f7et0{8+m_Rlggxx#E^<}M@TxW<hFwPxFnWop()&_S
z&aP3UPNxEg{1+N!2819t#q`7Mx-@9Mm-mo6uL7?rS#|c$grPV<Ey^lT7Csm6;k?SC
z3L*3ncbX$aA>wu9j`yY<7~|}?*T1Mjtu*}sp-6F9iAt}lx~l*+z5hBgKB&Rf_D894
zhb4f~Evw#BP6?_n98xg2K>&SWpO+`k;=xS+9yeF5GK}h^MCIxb!Tm|Z-k*t*;2Wvc
zl4Pq2@wZo66!=JR&Gcz=N~08<JT-@LcBsLHmB6@TI5K>p=01t~D-G&m+|l2Y2{0>i
zcWRTU4lI|mUq))k!UNwB_H}h47>MRxD-Y6u8K0-33BGdB#^7^@sh9|@oX?ft^=Lx3
z*6+739?Jt?@xg5h2MLfB<D|E<HWWu+;TSJffJ55l<UKkh;1I14;aS%KZJsNS@~Ra<
z$dcd_O(KEU-SO-nS$fcN4*l!ORDyvF>*#|^MCcd^AlBF!fa|#)4?9<7xclj+nb>6_
zc)y=H%D!U=p$Qa6*EwYvKUPXgMg&;5F+MqK36M=5jHj5ZfCo);o_V?&l)4vPk7A(!
z4TBp`%^4NQvnXg_J*ooXZvv~N3n}nsAlEO&L<Jr%aVnB_b0zp(yLEflM_Mlf>^4S}
zK|3Yks`ZE*Sii51?#VF%sgQnWKT~D6_#%(Keo`882L=aL7mT2iK3{v;PYD)nT%|8g
z;-SrK_2+F7W4JBS75~yz5&Ylv<0aR`fOq5W(yX*GgqB999FtdowKCQ3UcN%$Whxsy
z&ut7j*DPr|Kgz+q;)8hm!@N-VLr3Sxh!N!1>8f5jDhq!yEUVM5?*Utg_#2pE1bd%P
z2HyKB4F$E4Ub&Hs&}F1oSa;9}^xTN$!^TozbgJ*dxsZRD%9o;h(bE**?XxgCQHF=}
zuJVzkdW+bjwcxmva0;v$jGS&!lYrYtvm@%whcRZE8976K3RGiX1Md2YL0;xBuV@a0
z1?`P4=6McKEL^z!U$QXdGqDSHn}49v&^l(zkN}c5TZ%r;3BtW*oAX0nebg;whKa?S
z7@!wbR`Y@U5HVzXC`jx#6+fRlrSr@X8kI&wgJgJNAycZmJ#?H(e1ku6tJMJLhWqI}
zSa6Waby1?qaFVKR_P8;3MIV}(w9nzSI3e}ci^C;llhl@W5k8!}KGc3Z<(X8?2D2wr
zA|1$+)E6}?)Dc%bP&#&X<kS;p_!!hp`L;YxU3(nw!jqv35!wFlt3NY9!h`Ur4Ye^U
z=R41R0i!zbTAwjY%8m}E6MCiHxqee+E50by6Lf$^q<EwTPXp)f__#Ng3{kCpi~8zs
zYQuQ3PJn>-U+mST-m)tf`>8d2!BfgzT9EE*7$(BLfyEGi`_FoGQx6|HCRjz*g2M*?
z_RWZ`VwjNEVv6%OYV32`BT9*yU}jR=bRlU86A!z_ztQ!X>h<<!z3GMqtZoqWjC~fc
z6j!R~7&KD9$=#jpbk_jeMa~GfeREimk4HEoeFfD{cr`7%T^*+Uzum9dn!*y})zJz1
zWa=r~8)xH;)S*B$C@{)#61&kp&ro_V8#`I#rR!5c2K$em8)k~**x0!C^;*el?6u9c
zbRH5JoUe}Ain)zqSuMDW`!6(N-_}2Qdlix(<H@h<uNOzKcBhDwivpjpD_)CuD*_1)
zT<~4t_&$tDUq4OcHtWC&r{}WsN{BF5TEv&NGla=c+2eQ@zhlXbN4~r06T#|iLJPm|
z5cd9Wr5t+PjkWx!w{mPIK-y%dg(hwY(;Bl#ZZPh{Qrg`N!j2H&cAQV^;PfCiz(3TJ
z5ITrWTdH{9`J@KD0zR=*8-tjhjg{(C&tYt<u9+adstP~1O?z<~L)g&vsHCO)Z)~NE
zOEN`T6$08c8Hb+^VM+ICD?~4jVbrKP+{iH%@Dp}Uf2BN(nN|tQRcB3LO_IMoza=OG
z_UABP$k;H}L>u&pWBCvEx;lYk-=PF&aH26gEhE^rtiUzQe+K&`gUhiHRD!zwv{JF(
zeq;S<)W9kBd2A=(aC@4YB5W0e2IJVqFzJ@1v;DyfSod{}I7*QMK#@d<fbTfw{Ji<~
z3$`VUo4JxI#iRgz4-Z(CZ%kmZ?peYn@0PLbR+~{hS9y5;CI4!6#UD(`p;BZeaTVJ!
zW*&>6?sB;xUR1GQ8hcwk$>f^6j%D;)F3?NM0iBtcxZ?L&Ot0C)?EdFXtj(JD3H7cl
zjPD%LPD-7}+PephnRNeQ>CL}XKm3(}IjQ5q#DxW{e36;CacBo)mAdX^93TU)HkI6t
zc`adbJkN9p9<(sLbwcUzlr&tCrA01GD;V~PnI@8k9`2Zb^j7wjhD%y;W&b{}V!dCn
zu5a}WP(VKZM0`OCG83MNIXA6iZ%<tO&##0D2p`_uh`c5R?W1!pA`6=sk~VOs`^f@_
zh6T?4;+BH^2a{?J_W!Ul4MF<~0y`|>>V3-#Bq29^C!u&{2RrW7;el`71A}Us;hk2J
z(3;?Prt~Z==q3d`m9*i8wu5z~y<2$b_|WVw%R~>XtADnvhj8HVYr-?92oFtU(Sp%t
z2FPj(XN-Ho3#v6IWV$cl!RtV~{7xAY$h!(9-M-Eb760W4IvL|ZO2Ia#V>jQtrG_nM
zq99BuC0J`n;-Q&0MVd#A9k{BPAF%z}?JaJH5B=o9!<#zC$al4Sz<g0))ANKVaMkZS
zt1g5G{l<x?=mXqvoRc^_!@mz^?c^VR)4;>=BmE=BKXLGdK5=gpGal|JeJGhehlfCG
zPtmW@ypSb~RNJ3R!hg?9<o^4BhwLXj6;r4A!89e`r0&$N2lz9sEO+mLZ!PPMyssb>
zD1CUBXd(+PwBPcHJCblc=VL;9+Fo$r_|@{CnLKz}J=UBbm4bO&a%cgqD6k}Y;7Ojl
zJ96{kpgFq?xHvF6zfTm0%y^%c7g@^SRjnR7bXgX}!)BJ(3M8P<K19}WQ5DvMj+wLR
z$U{Q{fABYHNm#Ny%6=k;0IQMQ4R#KSpw`ilEL$uEww@R7S#}ViIyb>;tVbD!C*3b~
z+sVNBsiy>oWfF{~Tt9H<iy9<dzj4EiP7Zn|!^e_n)j_eaWJf8L2-}|Wsk7zsz@n$f
zyE?57J&xQCx9^c*Hp#Ep$WIaM_i-AB=4!x__?OM6mAjk_(0&lZrwlpUwj;v$UCvge
zOyY#Jp(<>_lHs`uXs=Jo?-B=O%kv3^X}X|;zsaG?p$1M9yoavyYQpEVR?8`U15m|1
zcsU?W02vo`+HV&$Ai+X)P`wX>?opD!lSBdx95!OS<e?7dJPLkukSSoL{cgs5kN^iP
z4zxU*C4tymQCWhE5tPJdE?eyO^wTlP#C1U;m@<8^nsYY>p;W<mx={kW?5X<MKBWS=
zNq1K)HBDgsUpK*Vx1Yrfoz-nORsi8AiFEJUO`y{I-N$iZ0+^q(X4*b44T6;wIgDzi
zkb)CdF7H)^Gr~C)FOTknn%YiFPg_&a68CcDBC3GB>jy5Gg90EXr2c>nOhJcjJO8Gs
z5<Hx1WgimafZv-e91A-p5Ze~{fTE}X`0St}2IVcRve|g_`BM{c-Wrq2oR@{iy(x#n
zX&NvF&L*REQ4`3!U}QO*Ck>10<xDR>EKuEE+$m?dYYai%|1G$<Ny5WiL<rfWK^tA<
zxU?lBST)*m<B*jA=4%VX;$&v@Fiw~->R<$Hm#gom(TIYXuUKS7J3C@0ZAN)lQ=m;z
zD@%A*5S|3wUu_iRLh=IE^`_Dk5J?d*`69*#RzLOSjI+5BbusYfsRsbGK40_%A96!z
z)e`@ETO3jtk@c--1#t9|c2V8kt=~WOBzL^VA>FGnv!PrVaFjd^{ec+ZXRG%-V>=F=
zeK5@%A#4a~Us}!inzu30l<<<jEjaY~tit<ovH_HkId{J9UBS-Kcwgzs!=dD6fzDUQ
z_2FQQX;bUx2`tLdz_KJ5hyF$LkJsJRgRTwro)O;;ER;Pkp4AeEH24h}`9A7GLSO^^
zclLVf;jh7awZw6#@}9L&CZ8@0UX4{MH6Nk|I{(e@-{eLI;x8LUdgy?+wdZhL)HHSI
zVHyi%lp8JiTUYHMZP>Kov{5^<M5XtwFuOCzjY5}S-0+dohPa}b^Z%yTs4s6c_~GWb
zk+&32r_o(4m`K|*abEl{Ri)6mHI@g5f{Ndd;I}m)F`r#8Y-@*#C94PPAH<=nYTgRf
zL7K1@pXlb_MvGG2)zdgqacDk#qOE&L16F*6XBR@~(f7?qr`|B~Ae?)Fi_2vVcs-)x
z=qk#Hl;Ve!$|HHudl@Y;19}a>9BPMk3z?AT*O2HG30~x}P?r#rs19P%v!hq_SkR+B
zx6#f{UKE9oYgboRhfvYmY-vrb=(ax`Y0uz8RM~dHxHdARW^M$%J;II(3W7LTZ}TIS
zYuIw*IWoMAKH=;>!+}C0I$v!@3!v`9dQ~!_WH1~Yy|5k6i3%oeK9k86M90209N*JU
zg4TvM*Lo>##JQdp&N?WB=00{^n~NdA^6}#8E*2a*U7YJHrXh^djmF#UY)Bw^Zt3OP
z1`cU{yCT_`BZ3%&m@agQk>Km?jF)BWJZQ_buhK|E3>DsVawo44!SIO5#b_ozbWyOx
z;rXCA%AP52B>yDB^&$i78fktsCmho6U@w8f^u7+&H4vfDQtt2-djZ6lYn$$3hDWLx
zG5B{45e`f76JI3>qWXEs!SAM$h()5_uB?d&xLis!ZdwRkcyHa^c~}Znvzfa1_Yr}0
z<S<3xh%j2lDL-cPmPW_z1{9AnkYM)x!g}Xd5fn=*TuF+SK^7O(Hd^&baL8Em%!Zp7
zqRE_+5iXKN&Q3usGPg-^$LM)&DZ@TgpO?Dl+%GxARQbBNZkz-!hXR~!oFtHTn5)uD
zW(9OmlXhm%i3}YLwFlb`@Tf<S^%=XWB05?i_Az0C4AZ|}uY1Z!B5gn3F9Q}z=#Br)
z{LC12SW3HboP?7?n+jU75A2l@PvPnMvt}A_&RZqz)3y}aaV+DhHd8^?S9%%Sgf!v7
zpKoA4C5@7;He7XuR8fjRIr>hk1y07Ml_xr7Q0;os%Lt^3?(fq!__?D6uCb<#n{Q>2
zulUI8ZA~?l6)u=2!mR_{4F7p_N64Xf^qFt`FQ}med#iIps=BbebCGm#zdY){dVK1!
zzZ$xN@+R$$>OtzWw#MK^d34IC?nbYq8rrVPPD=^b2M&to@S`vVRP|b=>`SaF>Z_0}
z;d*5N`Qx`m`IZz=$<(FC-wRZb*{c)3FMKqFUX-cu2UA4MuBXXCValj*%hcvn4+eQN
zb=a>niii(KA97Pb35n;c*7SP<+&14g@Wx#cEqmUHpF6LBVrrjRaCHKpQZp?#4Mk*f
zujKN{R5@hbqEs!bOo7~JCVTaM1w>`+VRU^VgZi_)1uX(7V9Ivis@_EbvFFP8gg=u)
z1~mbB7c(jFr?@y_v{D`w-SujBdxA%rG_>+j?<nwZh}AA?Ne=lq+|{wu+J`K~ON&(N
zDd5k2Xx5)w4*92B=NEa1Ag}1^vDPvQ(57&GT;rETQ<+%q=^uiK`$X0+{bUME@34Gt
zWtBmnO|{NUC-R}Dv!k}PeiXQD?xvWyAcchA&^VP8>~i=9Jyh&^)2__-RC|Xcnjc)c
z-($#$zH;q3b8{ZRxHh9H{w*HWwOj7E4Y49~8QS+JvH_M#6u8_UN}y93_`PX5OsGqr
ztJ&Hf;F)%%!_jSVboJV&ZVLl?G+b2ZVz!Mz^x7U9*D+C~o&C=FXFm<He@d#)v%+Ax
zl{FYQA&j~QBYED6ZBsjp{k64I3_(#)&CHp3FWT>0!f1bWi+WAvrs&v&0ffdpeumpG
zh{#;YlG()@)H^|wx5=6Yz~?Bbx0%O}tb~Znjs@$~q<4vI#u553Z9x6VsLF@lbUN#1
zn66XbM%lujA9}#bXu|FHg9qJkjC_*oy-roiE)=g*(t|%gGbB1PaVXc7hr5GzgSx}w
zqpWdD7m5Q?<^AHgQO%f@33Y3O+V`#XznDQC=&?|e(9-8Z;;x38YUW$ihWi>;%b)`}
zGcTX<B=13|jc=X&(({+vaJ%o%-E3{h&ll;tOyWRtp*#4k7u(d5`2i1KPHk|$o_oNN
zksVp+KC#g|N`vN9-s>d?Yk_#0$)#tUY-r_VNkn1*Eqa&Alp`^t2~szM9Zy=aB2oj}
zcfTw;ME)qL%63W<UOGxRp$ZlhLy{X^pP)yDr|J_<_Gy4aflvwAo(0kINga|jWkgN0
z;$|vN8t_yoa@a?N1?9Uo75kSnq3;sL+2I4~5R;a+>CVA|BFeb<{{RcpId+!ivZp#U
z;lCd6mSI6p&NQ#`j<6yNy}$;UWiosicbgJB!-B%~wAH_)vm?vVk7|VxWME-@ntrj3
z1+^O}F4$e!gWSH<R~qhm!CR`>wZxtk^~qZir2@Io%!gTVmI@LmDDHFy(X*iqDSLFS
zi5ta9vou&Zl0Y?Lu`A;T8``TA%HTPMLl$OihE_Br*xY<)=KYx+jc;$gb`<7Cm-Y;D
z_`f28o<jMr15+G`GeGmn+^JoE;kaXQZba}qGG)i0%89ry6mYdR@FSDv3&O=BL~wNd
z&nNy77t(aPA$QAA5Q+AGzckcGfUKnR-{TXx5!e0q{BJvikd<BA0i!$uNEudq<Osx}
z<we_?)-Yj&MDu?n1{1(kn0<QVG!F_6ZTlu*BZ@+@U+0w^+wGC#CcRSryok%ctn#^@
zIEpD=(@y~c<UT!Ra`YY_vc}Ph@kmLa6&f0QPjv#6R=m4;tcf4pqW8}m)xsmW@a}SZ
z4Fa59b07I3Ac#oHES!Q)l4wHc%bsQv0(j9M6mq^HgnYaQ)mY-BkkaeRM3d75IF+Hi
z-;iDy-RQN<d-O#b*?FHkANY^}3RQp4UQZW69BEsdw4$=;dO*xKo}S(Fa+OrSvlm0f
zk5r4P0dh$C3v1XKnFxv-6`$B7cX?#JUgP#j9{s*>nRDei5u#)*S^tDdAi2l%X8wwb
zXgb?7?~^JCesf00bcf=RqN$$`C0q&p>$Tb8>m<Rg=JXVqa7py+>~za&yE5A8e6Gy#
zfD9GfIehVVrO?De9g91=Dl%hu6drU=9q=*x`wX8-qnp#@z2XXLNF%6N-_1({>Kd4x
zv-4z-cr;Y>aS_nJ649$GA)0Ut4Om6*di3Ld?MG~Z1a!Xrv7lyw7D&GGK1^REheFv`
z-Mvc*sA%ulbjO@F#1`;`KFE|u|GaIU#(X0nIdL`;qnR!!cK`Ru^qK<Nn|ijVppAgK
zo<%H2<mv(Ect_)efg-x+twWGWBp^ZhSp8fM18~Kq^&II_L}9%N6O*b0R2;c)I?2xv
zc*z-(Ek~3P>xPwHhlU!$JogYky~iN<N7g^xEG2X$h_)rOL<L>^8xvv^4B)4$f48|t
z3ArD+#iKi-gc^B^jW(Gm@YVUd@oJtD^1~NB`ubS`8A_|%UA#tt@aYqi8z+^Jg89BY
z=G$_pazNt|sgDA8t;C*w_^pV%7tS;n;APOblQqkCNh7F>R-#DhDxy3sOZS6?lBhEv
zEJW4H2wZFaEgn3rfcAIwZy;j{WZEH*Z#-!P42c${gI@ATiIg+bFd%}?@C0TnIvVZr
zjns6;N)Ba)eLGDE7epJ0wvkBR2u`q29!-nLqP54*Hl9TCqJxU9HUWE#01LbBpWh{o
zWOF7=4d=K}D>3MX_h$<D*w(eC$4H@e(#~V9DpvHlY4lN77zH|B)RbB4?e>=1`+h;^
z7*NEA14C353goC|OU2AcptUC_&wXX4K`Gg}bM0RNPI>#h%&^*r{Hch^d~%&iO6Ao#
z5dc6ayQgubTNM4cpj|g?x<p-(wK;0W3Gm~|)a>5fe|v}-*JHghL%rm-X{Th5LF`2P
zar;9;D0#kc|D&>T>cwAnyuV`%;qy*(%Vk3W^x}FCwtjhpYCcQrc(&011Zp@RMIPlt
z&GGmU)u};hShg5$o7Mnk9@T5OCi5UV4)&sn$N_3d|LSQkBYjBv7f-)Kk3)kO132_<
z4p9G`q~sB!^guI3q1If53l)`ct)I^yq_XE+OV4T7h3S)b5;!tAkiMF3N66t}s^+BA
z;*_{9w8<uE&p5H6gne1R9^Cs)6?}h)i9JvU6uP=^u)4A!UvJ7sA)|4s;9_LyR;xB7
z1{{wiXEUMIcNv33yFb(`$+!FpWVPXP=#6@Dc}5f&_RD1L^$c~i=&lysZ7om?4-CEa
zn;t2{J>s`#^VHxP0fVt!?+Ao0M8OX_L__}6wHCcd)pj_|Wq3>zNa@A79vigCG^ON$
zXw)+GzdSnS#U>3nW$xx+dw>@0zv7h4`DB&)tdMqQMn?nw-1?eZ)JTJD-n!|}*R50A
z{a){rC{hPS$w{YJFB<d+tNlt(zeP1mRq+ho-6KshEA#saG$@R{U_R98A9cBUG;+0o
z4F1N&$6g52pafF4nn%YDHD|sdFIJ5V=H1^ozRS>{W0y3vwAE?R{Wa<<gK`q^{&!~J
zkPQv$?#Ca!98ZTFnQ0zy8k1m7A&7qIF%5bZE?4hP&w!L-N|#tWi4b|P`SHJP8k8rH
z@H8iu5qUcZz6MVs{0{&C|Njh^cQ{sW7{@bO_ImBTUVFc0oI5i@Leh{#DM>~~@+(A2
zQlgB8N<<kYBZc=Sva&a!tg=Uvh<^S$*Y&-g>s-${&pDs_^OaVf{<9uNgM|Yp-zlkV
z#}r+^H}(HiAS12mPmdTaGV}bJ7GBta`9hLwH4jxlI^wTl^&l<AJA0_LwK3q&m+`eO
z1}Y#_Yj3}&gbp>Lzv%S#Frg&x($1thWuU99>CnihN9Vcz{*`U4X!_o1>6WN6oERF~
z|Dt{?CZ|}A#lL35(mmZthT%%^VnJPjo_;(2xPfP?f3f46BX)N$%qhalb1R>hoOhsW
z*G@031Dv>+#V@||j3NjQ_g{4Tx)a}~>NSeAa^dRzC^L?E1+bTJb`FVR#G~7*CQ8q8
zV~T#w^Ug>Gxa!Y(>hVElG%Jm0+e_xfzhc&^9r6mG`0IiBF*{ZqNDjTRx|JU*eVek|
zM&!Zb?S^=1IU9Oum>uriDTp{r|9Uu29<+aH8l9MC$J%0t^&AahOv>!z^}H(&RUiJy
za%ynmr5!2J>qesJYE<f?87mLlFNS~DP2|G;fe$nehKr$l^(zgZ40&Lak~pQx!;QVR
ze%zs*;>g7aln;aQP!JjRm|Vz%SKYq!a_dW?@Q1uxQhExYlPFTi>dS{m-dqzSy_3Q=
zR&G#31-NtNgV+^o0o+UPTJ*%2j3OT5N%g*pu+H#<JK91BuXJ#9bq>j(dB3NtoTC!t
zyt(`+@uUde;{3@H6Df!C9%G{){FNcUK9<bWEQ%&s3om(96mVv|apnAJ6_DXSr#i4A
zhAqoUy_`LYn7E-{ZLOsWl4jEZWF-k)f8%{u=7KWzXANCUkyV4E8N{5LrzD=9NKpDO
zL<JT4t_anGI%pR(%i88i;n<P!mx&6hsB!DH+rj@dp!^-%>&``KY_t3p)?KNJ!Sny9
z&Vv-lPC7IAPelehM9`K~OASwdf9hxGq6IZCUb->3%Hpeygps*WH5@ZPX1a$)2Si$X
z`i#QlkkjG#$$%s^e5UaH&&gt4`0#1qo5fXmy#Mrje{+BuTHbUhRt(++^jH1foH?$5
zo-;4fNjz$Jbn)#ft$_hNYc9FV#-@nB4wzdC2CCu{*4#sne-Tjm$#20uS`lZ&GGa(c
zDrn+iCFD~FP_0dOdb(B-9Tz`7u3J~ai}y98SFY}c+V0ydv^9#joa1f6aasX~j}c``
zl7`@vb4%GHToJdi>{}JTCW|i92Yuzz4dKu2>uJ~56tG6FNzukn8i$kSzkHxG0_t(W
z3{Q#z{yomEpKmFFW;YKjWf>SjQnhwY3Pm2joJonhqa=zknB?`+!3a)N^y;V5$)Q=6
zP^_FAKmOi*_=dc-5nR@ASG|-egUrL!DV=UEyhbW{IwE5P^n*W-Z77m)_Dxn4<pnFo
zZS(UwIAsWO@$^@v9!sG|ErZaf&TVKuG<y4JiXk+Fys(R*mBilzW737UH>jsHnzrTX
z8bWmH!}twXapZJ*{xxNBf%?`U=IOJR-Jr6v^Rhy{C|2&Y<6rwYNSz35|GwzF8-B#}
zj?e}Q;}c_-#r`KL#NQUpu-qwt7R~JvD!~FM&8na2f4PrP_J6ma6#$@ejeIydofij>
zEfkEqjuS&Wj;7et0JQz)ns(bDA?JHu#+uq`!t>8wmMB328fT}7t=BnG)TjScyZ=1#
zQj@flqh|niyKYDQG-5~Un_(uS)CGbqx;~KKMIT=L3oK1?V?i11Lx1}@7Kz1#%Z^sJ
zcEPQ;4Z?!Y88GY0h<(A@0x^-IY3_}BpiI5dRBE^#>zfwpcV1o~9y(JP{Z@71U~?wj
zZ9RH)5qz?zx_F+bRaEpA)6<2kLUi_B*J+Uc+{`KS@HxVznRl;xxDI^gdu(5@XM?Jt
zaFPH*K)t_X{O}C%&hSj|!Dek3&adyXWnHB%@&~=U%rixVM6b%}iEG3A)|TUs9ha#s
zv+J)ontu?S9Oe6BgSFs*L#5d-o}bi*H(uG7-W?}IO%4cc>(PX2QXaeZ?s;kki8;K+
zYm{(sSd~Afs|ndddWIu$Q&hiEPRF#f!$j@5mJ-LO6bLyh{`uRU@6?uK@|tgAzY=x@
zw5Q6MD4_95ODs2jgnBH5dUm{UfZ%i9_sl6o117`6Gj)!CrIxq%FX*QA5kl7T^bGUr
zoBV9OW3;QE>flvyN?@#;XdZle`+>VUj2?EVGx@KJdU%<X<#@4^s5#=!I6JHc7D~S!
z>^Rd#U3I#-!~bYI;W%w_>Z^+y91&AoT5oQo#*x-Pi$u2)l|8#v?MGF?!E3cMuD*s^
zevU&+eyy2!$=<D`=%EUAL30d0A68OtHbwV#xHb}c#jC$;eyTw1i8aE<s+3w**?K(O
zxPeft$jQjKq5|(6Iv>v7FQ8I&s_ZA?>j(wwhdJD=DiHoqJ;kE#6*X{aUG$83EzvC*
zCqpt)20{1G=Qi9=sNBIKb81dCg!=jMqTX{#Kp#l{FF`VjI>=P$?pphako+F>VgF-A
z*md{5@Hp)yVx!t;j6L!bA;cT+bD%>3vi9<9Y=K0=w>Xu~G4>NdTwo6@XH|guBVm_M
z$)pjfs;*;pUq2B7%oDHOZREkWFTQ~!{gQ|)Y!V^|)es9VQxwJfa!~9;<E3-_HDQn0
z<v;Ce2}=VngXyob&<Dv)*0<gg>nVyKdwlCQubn(sRb+whdP#)f%Ob*3pHe^DQBTy?
z7z?yU$iPmemj_v^ONcjDyM|0IeI{luEoT%Bkl`U`tYzp_DZyD^F+J+uMEGBt;v?yi
z!8a;#V}lC`Ew;R;W7aJMxv!?R>7g_XWighUeX1a2eia=EzSBwsP4vpu&`QJJxBC`@
zZhs^O`jdoJ*4l`&f|KFHo>DMYYS(c(pqeN*@{nb|+d&N8_R`zdF9}6-CN^8bY6yST
z`XA37yNK$DgP(Y<Bw@<t#iV^<9r5Pg@kmj-9wJt*^A*iU37C2|zf!^XnXq`YU(ftn
zAK@0(`XFnU1gLNrr_vNQ5f{iiYZHEdA)@M8!d6SfA#pf<i$qNep*KaaYUB(N^cpu)
zhIGY2dRX&%mO~ryCCiYV<KQ=<O!WH$6RH^Kw{FX~WbPnl-VDx&(u@$EU!1!5&BWkz
zhcaZ%brSil2SrtSM+vn(;JL3&6l#`2|7)i0A+FdC|56zpC$5b;#C0AQ1-9*0es-39
z1UZ6j@FjVIi0d;dG8z+sq|24T$J)LS!4Wah4Ovsf2?-<fgRCO((}c^l^1%>sgJbJ@
zkk2e(b>s+FKOqd1M|0}i9lsGBL*1QfALog3@u{t!1B9UK=PUkp#u4K8N2+gp&?3=x
zPTWAHKoCYa`X0{Aj1uQ|@-$~SEfM>`ag29G04faj7)H>2Cm!cpj$q(2G3fim=eeN(
zRNqW_?`S(gsDCsjw|rh9yjbq~(<Jai8l%UD)~{2<BVn5PbFOOypN$-^?=&9-_C$p<
z7tIm|kErB%!wupe6P=TdB_BM}@?}_?o+m=oWy$3wTi}i0lqY8aFNBQSr@wl+NN5=S
zXkflV3-=!-@;ONIf?l_V!&=f3@%=&8ta|`GxK(@|8GOV8>!0SXJCrRGi}~C>_UYST
zpU{r}EHNJFUs#_+p+7_jo#MS|_MLG4_qMX7*WADtv^{+U*Eav7mybs)8R6T3mUb&E
zZixH5F)5I{LHGn`bi`9xAc_9GSjGwo9Fp^ktCqJwo4H!g-|g&B9zq-8UPyu?LC?3c
zRMCQ))`*ewAO|$wU%Yes8VSY|FEloPq=&{gw_n}=&IR8-_N+9YCxL`*+P)KO+rXX4
zxG+wJ2gseRR)zi~C{tK$iu2wHX%anUK^c6Y6WF=h@rVRpF9>Kolx2b>Rd4x(Q-Z)#
z`G%Qpjs&?MEE;7LS)t{SbF!qD2+T*Qv)%FG2Dh^nnF71nLAHx-jMGI7IDPfb$13wc
z)5DD0G`yT3xU#YmrY->@Gt?|03NOf<j+vMgCPApBT=@<aDQG)H2`s+D2Pgeb54#-V
z0V9d6JO4XK27NlWr9e9Ya513ENw4Pvd4>W{pDbC}=@MvrAWjI*zT17t-Cq#g+c(JB
z5(+RU;CwelMHG%USQFkyMBrnXM^JEu5>z*_N1d1zgS{M2T<#f&!BSU#zIT}lFbT@*
z|6!E`dMV)pQPbjJkhyZaS4<7|)|qNgq)CI#h4m``LP?l;xgcd3sSd&iJcV4|$wDo?
zg>=k4Y1s2^wOHVb1{Ak!^{G0f2$_+mpVnQI0qx9s20I>2_)}r2WM8WSM!B9T_d@01
z4hvrhN@_t+RB!xaWp%(_Qy0%b1^63Z7kG6}3(k4cyGajGV7_-LjCxcF`pz31w06;k
zq8jrPe2v;r`y#>S-sT*LD(Kx3;-(GSVij$>e&|8WShGiLrwV8cHl3Xw*8-Pmfw-$Y
z1e`bM(A^rK3KP}}@9YOO!9!@M-dAWhl=^jav3*wsm%DogkC{?nTmH|L(ffw5FFW*=
zyr>$qoVgiNs-O<3%tj9`jv0Z$>wi!51=QelisZ4wFH|73hhgm1iZR$4wIup?s)B0m
z1<TvH@=&As^Uv8T6ZoieGzj;pLc2O`pGb`qD9h6?H5!`2K!1D+HC6@q3%w8YHjBW?
zY|Dh?3#QN*WPRzfhB6dfHEXz##|1mYf{Pv>H-&;V*L}$=3LxyIlPRUK6)K*^uW@jg
z!ko8Ej{fHRteudN@v<2pmPrQ2m+qT@$=<O}=3z24UCEEi+qz5*us&k^a?Kd*rb3y-
z)urI26JuFY_cpBUVx-r!HilkyHQ&xiaabwP%W$A)!$YRKm12^N;Lc2goJpGqgtSQb
zKK0|oweAr42g8OSJlCne)WQ$jjQ`U~|3N~DbcZJss)lf=^k2mY4>zzps&V{smj}1_
z*)-4I*bUJ+nwEBN*ukS+-6iZXFPd<j;)|RH_#)G9FJZz6Qo}z-V%7NYT4)mc(Zc`>
zQa!0#`sl#1<y|wKHy_>`$z>_dAVB(gf*#kdRYKMzj{Ua}ADYoDw2b5!fJWML@p0*C
zLX1yHPuQ9d!^#Rq9@Of?>;85=bJ;qgsj-1Mio}Oi;wAG;zjndVLgVfIkNT+4E<SLi
zlNZxotqYu1-30-(@7)ahW~q^eT-P2Z@?zK+>D-nOJxDlMe$&$IH&t1L=1zqxFYac{
z%{<($3r#ka4~_P3P%l2$*D@t|ad>Fymb#`cESpx^QEh3l(rAEzUx^ostYbw&({vzy
z{&7;W(pEezV)OW~8ZS2OFS_BuuLDV6N;<aHZpRUpSg%j}c=5y0v(8p2+F;_eOJ%DZ
z19mds;CvRziykE&=DC}m87_D%KmQmL`jv-;Yj5uVkdRud_FFBmU--G->O2eX51|yd
z8So*MUoX96uNKTz@R<p!v0=&IxtG3`eE5!<8_GYe2~F+X##hBReH&zj#+><)6rhC1
z5;TFfPBCIP69<;uzwFe=Er2$X;>k~pH9_S@Op5a&2To5uqs<=Q%$;Vxu&h(ywvKdo
zY&R#`XwMjZYZAmjAuqY9G79_?675hZ=R(z6Wnr(HgmBBy(An!z6qqrsQQ4bG!ea&L
z9^zxd_;_nxi1}d({7Sv`BrlO0?YF1jOxz)gpSG&Dq-s*&ke&#3-{QfA)z~7;6veNj
zJLh)_QQ*@+@clnGdGTtpPt0yxG5l+6oWagQ0b%C-|7hd+aI~F~kfayKOEia{n=??L
z!)`e>F^wNB&b;3NW#ahbZ@<3<$L4;NCC@UK3!tlZwUbJS1ZvTA+{~5U^zEwJTK8c=
zOy9%CXh}$-(D4gO%zG$s%;{*%el}t3y8EQ@A-xo`T0E3q3ZTG*!L<#N*=8v&YvS&y
zlfo6X$v;DHH~n1XRNiMpQFL5AJ#Z*S8hbOMpR4_&z{mBHw=!d!{i{U%y0|$RISv$e
z${f-JQ`b_X)Ei<bJN;0i_b(a4F23w(tk8tEOMe}IDv4vJb)Rf|nhY)&ghtG2Z=U<|
zyOUY%;wbvUO;|!#7SrE5)G?N8L7MuL+3f)mnC5(+CGUeQmbjG^SlMWU*~5S|elAJ0
zkG6WgPf`xquZA-P&1wUi$>W%JuOyKvF0}pkc{z+pzu*7uz7EjLg*4pKl|n~~nAvEG
z99o8X`uLdXf{@oWec5s;OkI^vY<Vh&7i+ETAFu0zZ^9`?77b|>awH2Xhs)u*viteq
zB0b3eB-mP;ER8oVKW25-mBX<+S=JxDcERCcv()V~(pb^V+uUC#i%yNM;cMdh;M~ZN
z{#KrhYqv?CoK<CUzq^;?&1QXwTwk4LuqWf;Wbyf5zA{)we}VMf+W@qW4%obNBO_mD
zF?l(Tj2>}EeiYLYz#3Ej`ukBbo=@foo4hNHqK~vC=_3i)_u<DQ`(0#AIpQ9E?2;5t
z|GU6!w@83DrJvE3j*O2k7nDBOFNu%lj=PUa0$jeltX!Wjjpb*wQV$7AAV-VUUjY+<
zos=wZO-pH{Uy`159~Q%bBf@v%4*^)e-JrYEDuu@3IVne8ilV#2A*Yik03Ms{j?y)e
z!nSPB-_c9LIOX_9aMc+gz=+0SGD{N64~f>y<qG0#TE*+Xwg8Oe^DnM%_WJ)MA9R$(
z@Z-wGO!D4c03yreU>;iud~V7{)04o93GO%g#{~gQn5ZI&55)0(H_49tnH$M@pV{iC
z2>4WA&^!B046lz;XbLGLeDvw%dc_?AmM^eG^peG}BzG{Zzl{@xVr!hf$r0dT)7R2<
zUKD#LcU-=f#({g^ST|^u8o-IJMSH^_5v(EU(gtU+<BzTj5!t2&P$!kVv`<JF52x8(
zPU&UCfk<WR-wpb}=^C9b&?bo1GfQt(blFg8nkV{^l|Fp+Psp)L7Qo3#u_u<%tmwNP
z?k|4c1@}S@+wu7G<NmIS3g1~4{F#y+!@v2!3(VeUY2En{@9$={OkqK{l^d}vb$ZZI
zlx?Z!&5IB7R!nb2vEc4gsgqC5^niI;lOsHi2RjS&Z#cYWLC{RNA626Ze*aR9p@AF!
zzKCM6V`at9yIhhFn(M;+vt-RAA#RjvDwO}6%8GT*^~nj1I$--^Z=BzC5_)~R#oVjJ
zhP!<`EOPC2K!%oDc!!aMX(^XZH9ccP+AB6p3`5#rzNYpeHiHWpLaPqD%CVz_g%gSP
zoHkfh9GUs;$b}cftR99{v7@!wy}rqfO;6dsQeh#^g{u~M>yF+W7*@sQNV=y5r0>u7
z($I3@3$LvVj*6V9^p)GERapzFnlyD1e{<rF;19zRYn=GIGJ@8-SraB!l>=fo*Qa+q
zPPyI7g*6u@ii|I4!dh-)xbNou``)<8#n+PXUw`w97s8rwxaM(kp92@Fud2`+)^g(y
zzVOcFCJH>b$zJ4<%7s^w1$8QVcu<z}S#V+`1*YD{-)vvwLO!qWT>7iLm~5@7|J#rP
zfp_JCTF;WOe71bYpaMT$+kaE{)^-Y5bL<Y1n<L>*$wNh@-U1ks_H?|jT>};e)CFHf
za^u0TGe0`21+nmJQNCxU2DGhNToPC2!S9XH7Qf|%u`ICUbYG+f>{qN4aGK&l+_mzu
z<e3Nx@$gI3cxphe7i+cfdtM}Qmki`5h+>*lXvJ424R~**tRnD$4+~4D1^t}GFl9CI
z?cgB|xKSQ>YvvX|s$Pt;?^O}U)s*q6D=r$KoFCE8a#sM0C*Li8*)D-n@T)q?UjrV6
z8t^n^2;w(oHBRXf2^65Q%qY390k~V+iP9j12|Rx@X)7erh2Z6Duhsz5lk$oJ8^Tx~
zY8!Yob(8<~^x6@06i{FAxw9rLinZw-?_Xb%Mw50O`BOF&u(C+4^{Em?fn=BG40dGv
zZV{I^mrVgV&-_VKFELDy^xH}+E`zCgZ}Z&wG@)vXNGM4_92sY)kUA=ZcA_4tUH3F$
zM;_B7tvYdJYBb2%nJ9~A%N7Nf#I&IMs9<E(Cja~M+#(KY$l>nNAI1D-TJUbMaci8I
zB!2GAP+lySLzT5U28~nNaL@0bg?f!7=1tp(2n)$0P4CmH9047WBA1OaoRq?Rvg=73
zXL-DGF7}dlzYY`}jlN~IB8AZ-l`EdX^61+TY&Gyq7sy|{S9mW=<JN+YiwtMwarKKr
zL%WwAe1CQ{^2SeT{GKoTvqVWARqZshEA)1OYk)1K^8gvmMYY@wtK?9acZjBJt3C`W
zY)w1!jEonvs^fa)<?!>J6QP-#UT3@iwHjkL8Cw>5G!5Nl@#J%Q;p3qO5K`2j`E!Ac
zZK~T=+b_!CqSM96NtsRV<?XyaxtV{A=x;rFnv4&7wTE-c35Xfu6gbvJMk51zEdd>A
zbWK0wYb63e={bAlY$_Q|d2`P2{FKCV_nusnw*$a?bHgK6oAV-IGEV5R1Tx$cGLj1h
zIMSakY%(H^&l`uh$%f*XQds$ZHXgvCr`0CQMH-#LXRfb~i{i^qhs&a#02ICX<e%Fh
zg%=vCwx^Iqa9qUVuG?n*Crw+%QBn%OTHouOdL)Q^3_~)e39$J+1OKd-B${=(4f^Tv
z<6cYgB8C3|2#y;Qy}1(DJ^Y^U*bZKdO_LumItrlpj_K{S@8ZZ(76aZ4+(=qTv29iZ
zsGbPgZ!9Q|ZFhZt$e3_p_TR;;e6#>3G|Ur~ZN$(uG4Sr+5)M3Y`@iV=`vk~IvQk8^
ziDK4a<1gu_+3}y9%X+m40dz<GI<><@@Xvg1-sOFpoPQ!#YWvgxuK%b$@|;c>3*;4-
z-*&U0L<-gCgpdL3HT|k9mnevr-%~8}E->SJ_3KKR_w+$r^Hnz*2;f&?KL;l-CKNU-
zice<L2UWw5uZ#ckp`VE2>8?^ntT9Oc;v2dPZYc0)SGVyZHHK;ij*PhdDDisNFFo*E
zrIX>W<UxxBHAOxhM)cQ->}m7R1J*eP|MQ!ir;ocQaBg$GU-}Sb>YFa4S*Jb~+T>En
zxoxE@d5pN%<wB6)5nb3D;`C8Lk%Z6B1#|1`GGT;8xWj0d4)A*DN}r14Lf-i96H$vy
zs8YkhpL0M51~_rub(6!>iLbloI+*chl~{0Fw>G4o&pwtK&WSur4m0})S<v3Qy(-;F
z8*a=_xraz|;zc%AM$v6-c)wuT!{@seWFMPIwjbue0Jlr}!MSXBdF3{3h`$yHPZXcM
zQpka`9|RUt-P!S2<<D-09a`{uWJT*xDhJYYa5w3xa^ReqrKDTxrng7dKH0OG51L7x
zQf1^s@p6TY7ClYSZH>NJS-^o?QpW4!e{tfTkz!Knz@`r~a&=e^aUh#g>B@t7E>xa0
zwGiLr{N-O_?N@|3(Xrn}AoVW^pRJ}z6sb|*Gnuh@oA2fvdJ=J!o_~|apGP#P;~H=x
z#LGRkmlHjg42AW~d2wG(wnz3;4LIL0y_NR>7Yd9EtLH}Zp~)_J!xdKzp!J`2uo~sU
zt*ZAWO9uJzZSCw=StSivYj^u39Yw-COrK0P5yZ*&x?8%oXh6$6$8wxLH%_zHth-Q!
z@b0bt#MCe9aK}1F@W1Um7=Nhc+}K_bJd?|(s9mWJdxZ3LT1I*B)EcpD=P!z^UuK><
z=c_}`1vk2rn|*1A&U%Ndl^A|t(m6PiqYm8<mc!P2_>ea#m)1{F9LKiRdOR#theU!=
zQ)iAJ_skNKQCt%EpEym6XT3VK7c;eA=MlvE0Qw*+8cCd-IsQj?MjiBSwcirmFN9;G
z9jeTWlIW8u@Nr6518$21kS9`v(a&jtNEwyF5#qD;;o}+*v%75l{7(_QQlRT^-X)D~
zJN93<%GZGBI@;D}vqjPCUdq|;AIZ4qcdO`G5(OxgJjO0=V#pm+(C{`(1|3iLEs~=t
zVAioDMiv!Eg}vi{PF$76h|<jULN-n4zLV^|F(8ih{L?37EH}MfQs?4)rY6+0iVpNV
zkU+19+U$l6IlRQQecseo3$}ex7dUuO63vaOn(FV#Bk96qT_&S8+~RI;ZeW(eHP6D+
z(TobnoO4^-uU#ANQX|8SN~Q2-c}-NpVFmOOotk!ip#z!OE@$sLOXGiiX$MFDQ$QZN
z6MNz#bipev{^{u@X>{gm6w&ihK+ijVB|+|bP&RZk+cS`iUxvbygH#nzCW9Qdw&{Dl
zzxOpB86)F-T1w<>sXV6Dwn@h+>H}Zrr5GhW8SKlk{*}%tkL(2Z$urvxKrzwSnh21=
zsn1K7VzlHiR>vwVy~6+k+T!WF6J#*llk_!IK^B{JR+$qwz4zFtZT8;HTz1#_HJueQ
zy5G^#4HW>0J$%ts)L#ZCQ?mYUdnS#x2N(~@Y<hdFe2pxtmJD)KfA>D8CWXN(Eu#}D
z08KT4ajgAhTre*_nwu|y%2&%RC#nGUH8W<9pCF^{UQabbK^)WAB?6j<08Spcy~5rq
zjsKi*z<9IIvfFArtDXXwDeBmtDI<;l0{{U3{}h*ZJk|df$L+nYz4xBib?tEvl~6`T
zC`v}DNJWK8Qbrj?lZqlEBeOK{IYwlBWkkxzOsNnhME(5!e?Q*i@jmDII!_*(w~l6e
zr19>D73;t+07{)NJM@B;ka2t<koT$thI7WySH1`E(^vQvpRI@|omNT24^fPmxg7Ah
z7T`ox?cl8r1q|EyY@9zy7@fLV62or+gw9O;b(oV!D_N8EaeqNP(ercS^8tW28h!pD
zJo0$J>(G+@Iet{#)@@0U0nR@z3OK1Hhb@j5y+}iRc;Mk4uklYb2)=o?Bf(J?b!4yZ
z`L@V|_JuNQrM@({zkhdl$E-Bkq?-mN6my}arPYY@I|~S`(+p{LkiuIwKePQlaG;z0
zv!Kt`7GOX3A-lUl0$X|iCZ&b3WAEmgeY8q*SQ>s^{li`yL)rvXqmHqmoN;B<pp-dm
zy}jIXXh9Tfc60WJw6Nk>s&V*wycr0@h;j6li(vDC_vvdvtazaJmeZpJQ;5DS<v~dn
z#yN(H^Uj{E81nE{c=;Yvc*R5?#~dq!H+=p&2VG>vr;+50x(*Y_Q#9=jOc%u2<YYeb
zG%J2nS^4K~ZURRG3!@a;1Ta^*bnMJ&HXH!EshKikup>q@YJ~-G{RYb^O*3{}>yT>c
zQZa@f)+hQ>qxi8UBR!N;i33HnZq>SG8^NtYf3{&dev~LOs%fWiqV(w2g=$$N;5W&?
z(tekOSM)#5E%<U_9%IiA{TxGR`cQb{;tmq-F$j6tT*-}ZnqFiusT)G}HjQ+OGznez
zJhU)U<i+^-{u!?)24EkAzd0F5C@H>_KkdnflONb;PHr)P8z%JI-PibVOz0)&HeC|N
ze=sUZ`JfL|)Eup&TqJyQ)GH%KlppP~J|36~(}#nenIo+m>-N4`p)T_ZVCL-ZzYT)=
z-~qEU^M^O~w`S`!78OL^6L;cHy`X}tRq^x07bJ}FSNJ@qD}<(9<><Aa3jfxEm3K+;
zW4-d)K(Dtjeq60idM8SS2A>1E)a(41U6-7YdshSv8b$Vc_UOUHRgMl;83APamg6Zq
zCyH!QZ%X%F(*wiBmAbxK0i>zi`8ew)j#mG%dY$vqgOa2j_ezcmVov_$zjwPOaDCP6
z>ke%_2qq1b6&MQPC7~C*3BFRe<>b!?m)Z5;a?;m^34UR`?8A}Q!6t)SJB>GepQXTx
zdUVz)1`#y1$!!<)mBp>LHSSIyDZneusd1ELqpvzY(6iaeq4kpUtGj~~xVNKuyk1%i
z_sp3|-Zhm+OCQOwj!6pq;A(wfzD*oilegD@(N{qCq2<!)KNJWy>`#eFlt6Op;gSc2
zifCUn_lZtk4_<sh)!7kA99|dn|7W3uRxcGiwLSFU^u-GoFK?E{zBJ-lwXHIS26)??
z&(ed=oPB>*U&vtQAp?ict}3|nO~Gh&Sr4>@Zj9;Om&J2+iTByPRncvG>{vtq6|TFQ
z-K8FsL-}vQWmDd2I4=4)_wf`J?t945uNuhXLygZ<H=NZ`jWO`b-w1v14lnM`VO7Ad
zH(K-)^)=9BHG20Ec>}1get`1>3Yc~1<I@~EO&sUXO^zEefB@}`K+^(6JiMQ^-l;?r
z%OJ?wsKgLVe|+ITb6g37+t$b5P_<B}m)E%|$q2sgjIVT}D&vvfkn5+eYT+$ye2^b$
z45@!vJh*0*F*`rsM)-vmh91T*S3^ypz-4x_^NI@g4fUt&E!M(!8J{iuLQO&bL#=DB
zoGOY(FU9Zm)53~le|T+Am_be|)|cN=#hN?*)nA4*@ps9;)c2w0;QFfhpy#S83Pjev
z|0Sx4VjMQPP6sVuZmQww2@^Hsxc<6tNK6B>v{V!O9cl1x^pf{QPc@93I$eHnQVp#%
zjxT=Z17J8`!rSAfhE0`9b5GBy;*TYJcIn^^eoD{79c?wV7favs?x!;T%D!ZD>IFdR
zy_fnjldAY6p+RDYgA&rdUug^Z4IoN4IFo&9<369RTnfLXfQf;x&MGQc!jY5|s^3=?
z)cff2t9DQh!;Mo*J<Kg(Hs!qEDJvC}7zq(zP?kl8ZH@1Otu2AynR+TeS{cO~Du-F<
zq>!@HW3wa85}Ie0#7zp7@Q;w#vxx~Y<So?<byKs1;P=a9qEQhQBYmEDF^M2$cbT{n
zizRp+`xG<St$=q6-Wwe`B#8eO9LAF00W2QAa!l;KJch10kA+I`<G!V5{6Sd&uGC+C
z^}}-bO4Y6|UW^a<PG7lxWiLQ!v`5s-30d6pYhM}nYc6aU95;L<25{(Q4$sn%4Eo+=
zV|JKl$B=I~S<YtCp#Hhj_bGa56wh9LDxSlNzkc%PTQkz&ULiNHlBp!VoX;Al=wrrp
z{&&&yeirb8+;`_{k~q43&0RA&!-RIFqx_x?=5SyCdw}4IC?2g{4?BOE5mz3cDP@v1
zhbM}q8TBzDI9@n=;Kok|Ebs`rqZ(xf4B2#{U(`2vWbVXGEoHz!r$LSCVN-BYOUX4}
z5X9f1j%B1W2DDo{S$mjf3bEE@BLf2hC|hR!muZ#(^Q6RE`*KX+_UOK~^CSEi@V7u&
zVjm-V)R~w0a+*N0Mug!#27WweJo7SxfeD4DzliTYX$;O^CSL5^OhT8}vHMp$nD9vo
z$2Zw2BOnP>1XpD9p-P8u;+vPuxN!RT*JgJk(3P3`bXSrO^#(g6p0%^!Q&N)ig-$~l
zq^q`F+{cTh+n+93uCk)IYjW@zTSKrpX?@JQmItj~X<h5y!jADp@-h9d4d5*K>}D@p
z9%P$smb_HLfl`7yRiAD*fD9~$RYo36Qv2|XtjmS-dQZ))`t;$cw{TGCS8inPj&+vp
z=El|CiAlM>`f%Is@HX?m+*qy>#-fqJi#9c1ck=zB!oa8NdR(SF*j-D<-dx3pk^214
zo+nYEdPv)||2_|@Tz_)zPz4EV>~HdpsZl{#@$BqdZC-TS;qNkw{CG2cCHPH;9<U5b
zCtsN4#eF+Z(%i=cP~ng@|N9eqaQMk}jyFDhm|QmgrbbW*i&j?F_9*E=et$|L&jcSv
zIDFen^Ag5?zsJ(MHu!8()a5T4LBih;(scel6G2Jo`%xw76lhhuYAU6`kFFMhQe2v1
zSQgb|5WklKc_Uk-e8>1vuqZd)_o+BWMzWF^wJCraulAc(3E;x|+<)C3l1L3R9T;S$
zz+50>BFo*4{QE38Ju4uMbN+f>6VtlTe|;fNK3xd!O{JY(pO!(1e61|TK3xbFz1s4r
zNEpLbqgfBn$fDb5{ZU${E|jkCw!HmT1czdGcTaqi!%!0w&5F0WAZq7((n~-L>vSo>
zFIMGo_s;!hDPMGfjrvzZJy0CStV0d@`4zG4ed)Xy4+T0p{4=Y2B#`z|p*2%a38$yq
zL<=`jV82<Y*nVdzTn^7|o!q62%mr<)(-SE$FCN9F@ktt4mXx-)#j4;?Mcf^WX$pi$
z*c~vnmc_NB64AwFs^}M{(lOw!2YsBJ?8$O+NH4r?mG7Mz3LC!8h#Jv@Y8icp8;tTO
z-{#twzNn6U&E1a~&QRgzq85hDY|NQL91=_$dGWMM?sgwpA2w;7JKEo?fX+Xu7Yu%B
zqEbYF(ZrfQ1icO+f38tPKFRhe-*zqBZ?f1J{Lugke13m-&sM_p3ze3Zk=n@qgkJGW
zzaeantTXi3;NJYy{HK5wZ9J1S{q)1A5yXF{OqDpRAo;P_<4Vv$hQEc;4J*bV&>o-o
zT2K{ZFBcbmveCimtIhEOQl>DR|MKytdR1IahDmKM9gMisy9`^*V1iP0V#@~SCwuhO
z{)^Mb3~A{DlZVZLvHrH~t~NDPnGAiDRjq{rhks1}y<`D;^R2H)QtDWmeADgHeNE(T
z&s}l8O@pEIT0?$2b!;ma*?Heu1Dnds-9K*yI4;xQ{>wofM`)Wss6q|T*&ZxmdIG?!
zY2bfaT^(;0EGcw;SHao=x?7!mmJoI9%)rATH8kO&`P8r|V^L1Eqn)QEoO-~NOYB#}
ze~*?s{&6TGMG1awPqu`Eck6w3wyWZ!G$q#sHhH{P7Sa`4Yza29BB!``R8b>;$j5|7
z7Du@0TSKcY!G1(kBv4NU9jl*L|Ff6G;N{3CwxyO}8Q%WjDk$R(yNt7?FGP{ouOYGd
zh9$5xlQh{(mGIa^O#a7XLimQ{b(=NV60RA<_3u|z#J)u_*Tu8^*cUlfx69BHZXGk;
zE5)OL6+`uBv|4%5xIyQ>&_)gpUpQW2^+OJK2@FG)11H`XwEZvaF~DsdiGxS_WwCfR
znl&PU70o?U{Vs0g%Wi`8H(ZcG65qq)?ZHe~&dc?M#05Z2yW(&tND3RXb?%WC=#j5r
zGGO~*8pN+n1~dmt;AZEHn0qXAC^6us#QD+!jwqkVznCb7dtZ7eq#CXhU31zkf$SE*
zQk?Pb@oN!`)H-JLYSSM=u3#x*&D|Ux#C_$qRT0K=`{AVqfmK4gJmAGzz8OTNS>HKP
zAc(Pg)t=>vD})d0$5^LTQ+RVBo-1R!09yTH_<b>Lg^-v@i_da2g=V)ch8F}j_@k~H
zVavZta2xoY^eHfb5E1Hh+{S#KH#78wy1Yubrf=Ck#bg4*KKhQ?EPNQUbL;qZ>KdWx
zGVc%&U<@Dg+wZCE<3W;eQ+4)>bwWWcm!G-K2>c^8hrj>e!gq(9I&Gr=5%wiZ&xa^R
zaPWhp$DJBZ<dnI(W4?|K^AA}PYgvZybVqL~wT=VNQ&uB?_tRtcC${UyNQUsJskx|g
zksUE*)5uX4MwDxx+HD<g06QvvZhE+j9e2F27eBb231_9f|HaW8z#Zk3S*3Zljrz#Z
z%PU~UoWb$emeKm~#%Oq!se%nxdzL&>Bv?_*p|UE0Q6D1NFF2ZJvSIJtno?388z#io
zUOS#hg}20EIZ`DX7Bxk$-L&Pv_eVR$B{zIQmYMOQ%pBW>_de;LVdcV0ClY=XJko<(
z?02Si>|n=za?<PM32r>`%BgEJ=)vuJO5fA~JO1{O-1csm7l$k9o+}PffTw}>=wK`d
zuH20r*}Tq&ZGveo31=x#YrmxSVkal&i4BAZNN?nJ-`I(liWIQuDfIZaoeL*DCH}m3
z7Qo@;>OqknUHBX!=2;NPjnmgg8CCBI;!#08e%3f$$Z&HC+F!_ny4<1>X@7;V?X2-F
zCQDuT^Z4Q6YwUbzU6Ec_7%qZI*96t?GwOoRt?f0;J$$Iyn(=UvOAPM|)NYCHB!jJ&
z=McG+goEYl`Movb*u44iQ~zu-Y>kPlY=6Lyzbo!HUbrNQb;&IHYSCnPur3*Ovrqv0
zqrS7RhDu{(q5sF0Kr+<L&>WrH1aV8<j`RZ-vKXkH>ATyT3~r<4H=oiAV^fU3BCoR?
zek1RWmEB8*t4pse{db69%v*+`$6@j~6K+*?GK36yev@qd&qZ<Op~sEexeDlbIEC}$
z6*7beX`it-6-Vk!BU8qNBGx=~GFYi6!(rLcBQ<>z=y<w2ZbVZV>F|{6S=NpBK4gh5
zOpwAsdv2x9D3y&|&|K8@)rHRNL)F4AGU(b=VDz<56?gh{vkdp@g6{Y3#=>-2v<djK
zT&AUtF+G8u+IuKK-sZ`C@|qm(6t@dH8Lfe~qd#(U8T5eqZ-QR`hCGs5>JxXhY|Qz>
z@=Avq^q}3@I4S$C0%nGewbNF$@Y(siRE10`+{y9u9m-Qg%RalH5ndhKC*NB0>V`f%
zI<#rPy-W#xFD*s>TGzq<r2IbZDlmZSr&Bmas+93xS<Lq?FEScMbSifC8bS<XTw_|P
z3LfZEmY%;uM)I!4Pc?$Z5Z!-UkA1^O@)x|6q^im2c;1`dW4{S#FHA5WJf?;k_Z-za
z9+5F}xUbo}!4$HFUUBAXs-r0N-r%*PWb}I(Bx@jN4szFuiyE5M(SE71B$J(tv3;(K
z29XxPmd1TU+e8CTpV&VkFr$s>UGa;gCK?b+dp$&BH1I6DmE)#ES}0w&GG7r1aL~Py
zt|LPO8Ls+ld3#p_Yp-cOu3)f)q&Hmq{+-uA=N%6fMpD#JYdI~1cG42I^i{F58*1Qx
zZWXKLPAVv!bY;t_9!oIK_hMUlp^nD`<sLlxsfZ1}KBP1uE4b4<8FGbB9SeKXt~4gg
zWBi)`w%-<3aIm!GAjwP(nHT8v&9!CmxXtu_s-qQ@pR_Py*rbYQZj7%!?T|nb&sgnu
zTdkl)^sz{*h6;*JO}^rY7eOP2t7Cc^RxrAy@qxp-63#t)&l;O0fFtiiwB*(-L6pp>
zc(+awp<hwOM1c=2ymk1iYAqpsaP&g#Nd>%Y6{)>Pmji>-V_O+REn&p{NSvRBJZg;(
z?K(xzjEx?7jjPg@V35zeeQaD7j~+Ik_AaHvTW@$C88iV%ha_x%u}KD}U1SBtcC8Y&
z?5Ap${QvKLNA5ovki?QoHD!mcpG59NjIA&uz~*d)47NmZ+}o+-Fn?>Fc*|qWD+@F@
zqFP>jXs;;xxon|ma(yK(s+6SjZ2V*Ne_4H!p2E1jHo87y>=SXoYj1JE6LUxnMP1QI
zL40DKC^g|TNpvYTi7EUv14A}h8))RmOdpG5RaO(kU_`=WCj&DGYi!zjgG$0u0a?F`
zTPKJ}#ahbqGp6wLZR_Ti3|?%lns}CKG)eUBWmzt6F#(oKW$h!P+$eQ?UtZ?)6mf|u
zx5-t+1gboq%~MA?Fg5p#&nfNCME2V!PIZTkf$0HTKgV}AEZ~XwXFWSZ#H@AJPc<1q
z+j7|tH&a&B+x5riEzc~WEjpW5BX0x-8I`2(&CFQ8iT=V+-8|v*Wb1G3SVI6ICa>Z|
zCY1Ovw$OQVfw1WoN>u)40BhUB{ZeBYaZ=+!f5YXUgeU8Puw-`wV7^d)ylcb9ic0P~
z3Eo~J-aK?mbZpu1lm&UENp=Q&b)kZ_qIQ{>uss;E+f*NTgl;?CPNqjmHLZ6ee^!YC
z?+9{EB^B0Y?KMco^q8L&thny7PE?#JZjvNZ;qFeh$T#ftSbfpg!0+`x!o6GlKtq`x
zaP=JvuUMzU!n-UZ658}=5*NRirmqKu`x^O{`RNhv_O}&YV!$kwpzUdO6p+$6JYs4?
zkGaZOKgCxV(Ms8VpmiGs+$qoYp14bo8m>!?b5YD_-*Q3Hc32mL?B#QR@i5@Ho~he+
zDOR)?dv#VhR2Qye;B)^h2D~n8$}ISv4G&fB(2VBRh5eDL-|FlcG0r(l>s}=X*6MIr
zoh>E<8@P!&i!&jY)qly$Wn3u8y)NqLM23ct^7$9c%qa9_xwrK#5BAF*Xb4!)fn<ln
z_Tzjk_~6_`-|<vFOi)!{{p6qnZ9;GMubQ!9b&z*=-Ww9$dsgKB?x{A&guWd(oydmW
zI~zEJR0MEQ!jGS%p$%u%!;R(tvg3&>0qLXZg6MbqX!q@6E%>q!`+NE(C(cY>`c2*N
z?6k)vau3b4U@>-5hTel4OQKVo%sz<VeZh}K_lGpW)uli2?IvFIRMGz<SS*G=dNgIs
zQZ%9Kj#6;MV?GS^Ny>crKmxs?s4U1u6X>>u8!`8i(9dp5)pCs#y6hAG8KJESf$I<3
zzw!y-onUzb_$PyxzcW8#me+*fdtX}O4+<iYbDnrbmBXW-u8j!jYJwhpW4Zi@5ccK=
z>=2BS$Ast27f5?Gq2Tk6(1{QcyzID1m^P?@Eo`>J1ErcU<Pxd(Ohyb1tM}9I+ops%
z35ySlRkVQGB>K=~Rvay=Gy}UklyT;YbF*Q)77U#ml1dqrM6lRmwBV(RqO^gtp;_9H
zAE@xzU|JgeoYn`If2*M<xi%p2kq(>?+i&+PUKX|9C+(`bt$|i2qQc!yk%3b8d8PP~
z94hIxYr7d~q3pJR>JP@ca585_<WIjm((m$pZQiMk4sv;aj!9EMPFkI77q=q*YV&@*
zphCv@nWQs0%6j0!mT7*_RtYoe__Bfr$oMh3O<dT83Oxm-ZhdjeD52)l7<o(=X_Gur
zhB^8$+j`i>4plHDId#J4t1e#CAE^5%Xb3<24>X3&sp8|yu7tD&1tkI_UH{}5!R5lQ
zjAGpCn4&8oJim{EDK}HR?d(ioP~i88%_I%{6g4OQ+mV9Ixx3=G{xb#tz<0;*EovYO
z|8oC20|lk05@c+jnS)TYZ%bE^Ch}yFCyl~&Q7mc8nVCQu)OwjFh)}f9O)28Sw^A~8
zh;S~Bo(H(dY51-6oEFYB9zT<_TL-B=&*X~DEn!Hutzq_x7GCH3rfasKiO&|N!gIzf
zp$ZFas`hH(pYNHk&5YDBHQmGTQJ@t>2;BKa%xdCg`QP4etyNItt=mPlH&)==`hI9D
zO%s#y3j=N$E8^s<fTVo_o4{Ss>dL&E2D<LpmQB)>+o&J*u3-I5@GEpmKFnAhXBU#h
z){jVHQP9Xc8N*HRNT}zY%z`Rj-8mS%HYSX3Mh9#1BsRhAwZTKimsC*n<}Jmgu8qD6
zsrQtcwt{cDA~pVO$|zt*b|gRGK;ct0GyIuW(3|~GULZmdqadl{Yaau~1^BhfY_WoV
z4fivAlk!N>3w!eK!ZP9WK&&Zs)DoP|3_0rTkVB@RO_C#iUx}LYN%_<;OW+bqIii^&
zgVCE+{=SlXO9&L5?$l?rgwD^OKf2wN#Cb8LzW?N3($ZLCN2IO-6il1tsyB+^=csQV
zwl964P5KSle~<)_<?wXM7Z*XgyB;xFRg*LayVB14ZZtSsj>c8@1@VkxS7Bn(7n+El
zh02!`7LXt;%yrbAA9oc_x^;woqs@MkGjF<M4(dk|TF%n=@M%@#h2fs>v;#`Mn&T~I
zklAiLcYlLxvA6Pwp}*g0DJ;F5X&as;7ZUt_4A^m3W{6$prtdTzJ|~+|JyU2%KQwt#
zg9RN_qau!c{7MUI(2;%|Y69Gb$9>ceGos@|*S-48GqfhY+4Y9!#z0ZOaZ+QI4o?pr
z5`H~AO<Vuq^=W|F7&5sE_Yn`*iOQB$yUmxTXp?!AR}bBdpz&CQh{E6s0ZpX*y|NQD
z=dPmu!N-QsHMKZxnYcvw2HlX!d@@So3h(SU;53BRRzveGj}{4wvP!Y;;vt$HCzON+
z830YnNMly*2N9@dAHX0wK<hmaBDAwdA6(hkivpQvi8M1&=8|W<G!ox>cD|WDWW}1;
zmAlLkQX|Lu-l@N#X@*toH!PyUq~nQqLz>fs^cC6WxP2`&Bgc2X@1>}4`7E9Hi|9!r
z+JDl8EQqwL7OCF@uIs^H=Ea%kFivRj2_74dsGx;S+X_DC(F2yhjxNJ{M+xV1^dHBs
z-K4FDf8(e~qQJqn8kViO!^EV<k!juPbmBwh_F@VT1^7N{{u-4UBwBuJ@TtBpC#Dl(
zxMi;Cf~Y^+)F+YmM7zfQxL?m}h{eQ71#bym=;*mWB6{&1@!$!&mBy_`f{{_~%-cLN
zjM_5U`n&ZL*By$KlM7!H!mGh_NA$_?a?Jl}d2}B!@XscqB=0{$Y|81DN{S9t2g^Qs
zvi6o}b`d<EYTr$KaV_QXt=5Jcd8FS>^>2w=N>_y%+Ixwbv6NiDPg)=pWJ@V&-LOlM
zic?QE&MBNa?#Cjb1(#OOIi&LT5heOmR;$GUqH1`JLD@|ce1817*><ImXjr(N=TbaK
zM5Sp@XI<9-!<#B||84CjPHNR%`jaq1BsN?XcX_W4?_WN)7BYB8%x`l~sDC|5P)^-*
zmsL=QKrVF|?p*`KZFRX!I519F4?Bp@98-g~h0;IFRqu&#@*krJ#Yw`TMd#)9SE``f
zv~pE#%OGK7J4R7s{zUNGH(zIwRt3&`<djg}VIoe)jK_=TGqHZ4jH-HC1!`_fe<%_9
zNC;Bc*&?^h5JA^mGA4(Vf#{#$e^xR|jP(4p@hJO7q&!NGRokQthczd>Qy0bv#Rrvk
zc5ZXTB5i75x<m;IUH6zXcuf#JOq$jiQa=dmvj+TvQc4idtGX=qeUeDIzU<jmwLpj`
zhK%N2RfNK{q}Se$J`rpmGBOW_{Unl--+Z{orU-K)@(EqnKNHXP{XO`@XNlm|lJ#A?
zr~qqW$L9W2&JYrLH(msuTP8O3*H?8gD*$PmRmdOC?*xm5U6o7UDxn$wAIK%j17*|v
zqlD}^;#A)*uGfL<M639!rLd4Z9NEFu%0&A?MBgQ8TgcL(t>etg-W)lIX8_Tzo&|#2
zp+N3iIX$)|2u)ovl!Jr4WR}dUKZ*TugEwM=8Bsv@iFjI<EC}Bczt(?diQrhPEIa4U
zj9M-trwu}6L1<}E*X!;wVekrLdc#<8xGU0jK|mIMuNbG_{JBcRN?qdr+{TXk7CbIj
zM9IJyYbsq-;yO{#+7?!@mkZ-s-`d(tN<+R42d!6+4wXa9_2P_q@ljsW$kAQWkQ8l}
zr1Y8|M;*8QsnsFjv-!DkzX>S_zecxI6vv2nMjPqkzVYM#00030{|uLRIM!_#hV8w*
z_Fk_&Uwi#7ij1sM3WXBBN(e<#DI}Y0Dv64Q5|xBsDwGPPLPUcivN96&`S&@VKc3@w
z?)$v1v$>R0e;`f@{JN)!`fz4)zVtUF-&07PH-fx06Dj<?7<cO5Syu97$Nq%+Ibkwz
zzEI@^w-kJ<b{))|U?<g{@9J*06(cn|9y&BLN?}#nlCJ+G7uh!;;Bl!(f}BgUfBQ#H
z3PvgQKhJsdk^;ru&)P0Zljg3>iYG&)kjpH@Gehu`N*nD2l>1~!I-y2u;dv?CUEvMc
z_gjEei)dy17B5e3xb%68R--g7yj7cjKS&`1n7V_GY*8fXt7OwPdt^|OH-Fz?T9^zC
z`#TWlNG10uaZ{YiWkIbtD`-U%BTLP04rB+YkndiMbeHAILFk)4t3{;*dEuMwx{h)+
za%ZIC*!4DfJm*z>P_<c_3=eT)b7asYGb?vAN!Tdj=+DBhk%hA4X3nhOoG5M5`Ba#3
zq8JtVI}>6?<>g7iE#>t;{_2p1feDTOTvcH7LDb>s69rP4?$dE`Ydx}bcU1D8MK$DI
zJAF?zMu|-Oap!u{Q5u=r{NCL~L<@FXn?0%4%47v^rGj&rJ}J(|J7_<k1E=xn@&W->
z(o*Tp$Is;k<ok;Z4BAtAh^=wH?fgZJY<XtFaxmPGd=dY+FVfloI<{=)g;zDmiP;Cz
zReuc06;aPk`JG14vXL|Kb=M+)26HqksT+~abzQN($)*VB_1<yjoi?d@dzVJYj3Mb#
zog%;6*8&k+EVDkP>yTlIvHv2i4asHqzK2DUK<Km~qc@i>+5GJ;orstLIVF5TVI;;1
z@(Cv>9bUTRH+JJ{rDz%{Zd$h`rpX%aF0qdX59yLAzr>cdhU${M9k$!U->$<_|LF3C
z?Yg9=-?WITx)#Y|NERKeU61QgSFBkXb;+y$ozz>;tx9gIuo`#SY=az4o?_)l9Wu!v
zWN5KnfqbjD^8#134Z<O`gJrKa89l7|cFtUijL&HE9D8O1)?#tx)w7x;r=S2iaz>Cm
zQoR00NtF$rTT1I{9Z@Iun3Psp<uQ{VN8g7}d)h$3;s`ynjw<QDICovLaIAS-;{3Aw
z=z6G&7N<3|Q_0bl=mH~`F+%QWVSlK{dIX2}WN~g)B<*~1&edI{L$Kt#{6F{C;h&Kd
zi_<qb^3)qzvchdP+@NQrQx;r@ZVCBH1_2rJR!~FI)u%jAuRWaPyWbj*f4LNepAje7
zHU*S<=kddY?eP`;XI8M=8R>AsT9^!Tj<xg`7sNyzRWn<|3a_v6Xm;8NkmokkO*9Bn
z&^6^AFIxbJR4F?@)#fJaD+>~}FHykg?WdH-1-##|PxDPU3ptl};LhMz3ancM<k%?$
zZWLW0ShvuT%!S;~bfzgtPki-RP1X`4(y!mu7tS~HaeRGZ&`Uw<)E=%da|<MFow(Oz
z_pP~&ZM~!1bqfAoqY5Pjnqz-X_l1*XPn*x%Z{G9eFa>!552GoiX2^73%yTe)OZ?gS
zEbHES3M7a{r<Y$%ac=mZZ1lo+;`6Zn#VcYIm|yf}OVKw4y}w9h>5p0B&BDo;)jxtL
zZ%y9hoNj_5!A>@bdrQRJ(?bTArUW4u7v5|&V+>Kh_|>Fet3;|p!r6n1f^g5`K6>BV
z81ij18y|bqLqdA>ZKMzdX`w@V)w_(axoe}3Vj3ehvi0^$I8wkW$9vwu(Fk8_+|62Z
zn343{Ajz+gg6ZDr_RN=txO>oS#^ER{cI@Oco~0AQg)gxT0v?9gNyp7`&XFCF&j$){
zQV2gRDXdq%8Q`q4sOS<qC%n#1=oLx{qxj21PWR&mNYAehpKIhogU-Qt?Ki?8Eu$6m
zqzy3CnzNi1%mb6CxDe_k5tQ*dXdHN=53^TqXC!&~@VinvF(*wFH@2(O><;RKMQnC9
ze4Gz@{B`;9*<!GxH#HSh(MRUf)H7@y{3z8ACTDMpW1GL3y}>9AvHJX>Lp1_me;Fp#
z`a=S@ho0R~zCpvS7=wfDmjtm|u}im&kit9j#*K$#X?XuKX3pmV1qT(IX0vZdBUd=)
z(-RLGDlV@7!E;3jmnQU0ZNz1<`TiFAr{*-A`4XtY{!kbTPvcXE#$@rNt@{?CNkfXr
z)7$n#B3O#~cxCd59HP#icji^2;qSjV=`?;ZaCRuKoT`$?k-J5y()u*~xO?K6{bq4w
zeLCP5Sg3&TTUrWxHqvn9DZ}fEatRDb928y6P(%Uy%FyR<8vLL3&Fp2Cg2tyH71LBD
z#7-w)Ex1O*4y&Y1OA*pg<SCuaPN71Y62W@>7Yz&J1NZf2W#D^5ls1v9jE-$@KS#Uh
z<1yRf%lbxH9C(l-n31T08|e~)_Ko_GZ2in+ep(KxL2~=$kEr6=-`M6zO9PZU3T;$z
zmxuXVnTOYW)i9*Wc+32a0glW3VW^T<z^mAXx*~mbs4C8BABr)Au6>td%CrJnwfG!A
zPpM-d==znThDOL6*k-5Sporxl@m{%94RDxwH3%{qBS7b)R`qcuoC<ucG|Zrhl@|y0
zZyGX2dWGMS8dEBgVlpCooiw2&@o3xGb`uQ9h_A2tPDOHBaGXb=CRD{3&mL$n#izQb
zdwwS<<Acv+;w1-7EK0eaBJY^tmz#>ma~>54h}(Dt{?b6vh6j1%b#q8;c>N~vxC)d@
z{yY)dt$}!#2qo2v7SNyk>^#t;g3Vs(=KyCwn7@qk)loDVJQk8-iQjjg8P0O5;{6Xc
zhYM%bAbD7JkTZb5ezMLyPhJ(QyQ=o?+M$Z4QLRCrgn*$~(*wIiRKYVdi+g{Rv8~!C
z;m<xGDPmfpZ%hSAO>fK39;QNm<+|dbI{@|YLHF<?71$ISI;(w9#GuHk*xzyB^LQ7f
zR80jrVKl-?R{_uMqIvrHtspvBKwn#;jOl?ZLv8VLc;0Amc|zF={byrMJLahPFN}*d
zu~`NY4D3!-npQaSI?$t(MumR=VXcHbNfbK@JYZ6^f^*NtLT_Is%q%P>WSkQNF0<`%
z;j)5n#>+c<jw!D7BcE8~VPV{6Y`-e|9k_9G#7#3>0To)+PALHtG;Uj#r_}?pGkfZp
zOXX3WYOr8nAb=DtLmh`WfThNMZ1tKP=n}omzd7;2>QLog32T7$WlDH!{o4Lej<Xf|
zaAQ0^Ozh|~0iM*erIv*<5T1+HHoL_E&L@XM5k%l#r>Q~7D=9R^{@LS_z=kJ$q4bPh
zmJrYUU}PjJiG4xw<wZR#u%FTj|3b5bsP*AvH>1U2-M8Vv_iSc(^Tu^o<XXVDw(e8o
zyeL998C+?uWrAYrshkH3=D5?8&gh;l0=Xln^T)K9ATS_5XSdB9mu(F%U0W{<w`=RG
zdKVaRT)C0ow80GS)n6h4#DviOhP*n)zywFzKdkFz&9F0l<M<UW3KH)5UPy6Z!uG>n
zBEL?XqTxbMo0ha7hK@E7n_8K$bf5SBy;&2Oz~S+JCjp!fR0v)QVTNzJt>;%?6C7uZ
zx?fz#4}ps>(mbqLklYq9-1yoUbbePYy6E|l7<k6d!-N&rm_2{S*cqcG_FD#f0v~i1
zcsBOAv7t*S$k4gP2wtJ(KP~0?;J~@l=HeN4^h=+f_JI+Y=k6%Iy~PXNE2RvULmViW
z*?qOY#Sl_4Qgez<yojxh3Yc-@!szb0<nQ)|D0tL&^t=c!k`1<gEd0ccTXRlZ?!Gm^
z=z@P@84oWmt6KakN#}*NYb$GHfB{lnq8_yC@WNwvLH*cuK5V+880@v84^bVu=&wiD
z?nReyn3eJ49qWgzEBX3Zbju21o#h2qla`pT3ZU`RlzyqPJ|_R$C--OrAJ%m;?$Br!
zM2rOwkvBv`g4T(quqr+@1pLUa_)fv^rC{69R2nY5Tn=59<wwiUu)s(qVJHnhmR|-9
z%QmXTUf1|BpMH<6?2rg*D}pl}R`j4l@|oPU7l6ga^Tw)!q6lG*AM|b3L(&y4dD#^K
zyv+A1o7*mql5HG$y~%p`5zOH=)glNRx+=6zN}$HGR?5#u53F4a9{%Sk$W?!)qgyBi
zAy-GKW(z&ETyLlENEgDW(3i*<Zy6-~G`aASss}aQbIyBngt14ou<&WIEJ|BGS00nl
zgQs#N?MSr<Xu=DBzUIgwP;^Q7gQOk|jmv69hDDJp^eBX(P#(cOrd#MW*51QWIbcW?
z2g4;l8^tRM$Qlj1Des_%12YfyWyeWCf&6e|pivS2?ML&EMd?9cBa3q3j3n-+^G4}^
zP=a4=(J`<4dgypn{(4)aG}iI4y5z1<kyYY-VugbS<*0)xcbH{C(a{>Hl~zILexChj
z!)OR0rVf1Vl|_I`-OG~}su28>mZLSfmOCOh(k5!;K))d*T+&?)Cz6#V%Z}-Tb6cj7
zXtq3T-?VOj=B*Adqsx!?Qw`u2CjWXvgaW2Y1->%5X<&SzsI%a!0aSP&z5TXT5jT@V
zjS5vY!NYdOqv*aNZrt#anKV>Fm2p&N=SNK_>nX0+yl8~IkNkY!^HH(MPFu1*NDHOa
zms|`>jFB9%>v+R36&^~LcV#teK~jCY_qEF=5dFa&?@^|VBYLj##sgYtZ4gsWdT5Hc
zH*}J^ZYoe=%-!(tz7{AChjMy)&9K~@{l4kD3ib><pPF#h0$=t*0Xc7uM`}{@MgFRI
z<1)_hsZ0}}*Qb{Ba;<SmNte5kR7K&xNx|LK8hFjrtmGy_pfxf+`0j62l*hf6)jpyQ
z&2-xqJ=Qhs21Y*k!KDVj?aUr?>}u#d^B{US64-gX<-^k@RaARl23L>@KHN^(HrE5B
z<c%fuJX|}sP`~x}0u?tZX&ScjR@hY+!vAr*Dok`4c0X)V#II*N!-Bo7aBZ|-q`zAQ
zTT?sLpLNUQUTvRD+es@h>v5lcudIS4$9*ndqp}b(5ps;mwF0+(!r3k#Wt`bDG$zk4
zje)W=Q`^_hsbYDhVaKTGacgS4oFER~^7U7HPgx<E`wM4Zk`g`-e{tzC6+wFQ-V-l&
zS>bnUDbLn;MNrF_d@h?)@b+iO0cU+HoIg6Msc}dF)($^=GPC(n?e4lWa~Wu@<=W}9
zTOQs&A7Ab`&V!ZQ0?&qfz?UD!J}ItiIkz!3VKj*YOP2&+ybT7luY0a*vyw$LtC`{v
zQ&u?sHg~L%26(>;MyjsOvnzwvXjC#2T;KHFd67>*BcZPJPK+d6#IABH?Pq|{6EUZZ
zNlPfCw1l=6i^J)F#)@q>9Ud2b^%{UB7<wmE`+G%^OxyHo^VWaFe=mI1!_QhEpgAeP
z*FXfz*F0Z7c(+Q3jj&$4HENE=zeh&C)Cl2SpP=grwpGIZ#e;$KX66W7@7bibiGn}r
z-PLzruMi{baYamL&5+{Vd3T$jAgqMBthHrU3DpIgt>KfVuw3L9<6Gc|PtabG%Kla2
zZ^gQ*&5owfPxk$t@tY6V10Q<z{Q65|KAXHhb=?GR;g=mdCHY{%O&OBVp@WI+(v27a
z6KEHRvZyxl;LgB$H+pt@*gt1TkUVOPp+x3=f-&4U_rOehoQ?t4#jk9c95aGvU-9dr
zP%dm<rEF}bFd}$!<$sLcM%cidS3+0JiS~$<q}|p`_+)$9C+xK$T#4_2rHdS38+tdC
zo5YO3-(Pd=oebe%S4O3e=Rl&QSH#;<7T9U_a+ba@z&Y<Y*3T9ka0^J1x7)!6_d2)v
z6juX;JGb|(Q{aGIn{v&i33l{#wlJvn>EjTKSX_u62S!g8m5AkWLhTV(Q9*z{Mxwh{
ze*eb-x?QZwHeTEqVgEtL_?rgvSH1^Z+d1%}C-9(zB`;*!oH7eCY4|6loXg_OiByfU
z_yeVUI8VQIC3~&6*Xg_7Hu=qoSJi1+On3MZlwI<`uxpLa?5k(go^wH=CCQH3D*!|B
z-n5=IezG+&QYT1myvf`(X~9ncO(w;xLs<_&4<fSO4)VakzI98Jj}T<OzYIPzs0&SQ
zFY6{gKG@PScSt@JhTk;}GNVWrOA!JA9<6*}Pc@8sVl9fg`Q+JyKDtm(vlTbU<i{;X
zoZ{(U^PTi;qmLT8csX0?K6XF=H{*W1)k>8>_Ro*0xs1BdA3ez>xLXkR3VS~)cuL`W
zsRe!1R~;05a(=Znm;#*{YW9WoGB{1|Nyc^QV6B{8+On2M@7x=H&sWHzoX)H2WxLK=
zPmlO@u~itCXBbz%-jhR`O}9$kD;-S5-sP+j7R5wP5VhjHJURukdiB5P!2hFfXXi07
z?ETl$?82mo!)F;!%ChMqR%X<f`JXsif2FKMm@A>OFzEhwOI-;47wEx~FNtjKt6KkJ
zsqi^&<Dqp%7g_V$qJ(Uv@hRqjCZ$ywt(Cu*^1tiiQc!VH_*(9ao+ok^_*9X#-Rt0^
zoq9+JTreYNWPuATfn(d%K=E_=PiayQb5AFSlSk!HdvmBotXLh7BKNz{<<g+X6womD
zNgnPk%Hd~UYT%^ihbRpXeT3NW3CsGVfL(E3{<dS9=;2;{x=1qs<6(I>|Ido3-*x7$
z!iW|wDSZq3rDg~gOZwGU!)tk&<6*k}o;LX3Sn;)+8sQu3MwR?tDpn-oqk7eJfZov)
ztG>qQ%`Z2cd7_NOZ+;gzy>!r=QS38ZXo4DBdiTOo72Nfgd{!2ygOf*Jb^bSO3TwN4
zJ%9GBal3xR<jF=I2()H?v(++3%}^tPdDS4ag_EwGRR?;n<huXGSYW?#%z@B+H3Zd)
zyX$Fd!?@>V=DJ6gxGEl$$?{tbEY;3=49l7@N%7S8m?yC3n@a<OjygEDJMXv<sezwt
z|9Nzs2KeT)BDR^RW8W#;R~N6T;f&1BbQvZq<etxw@D@~uitVuhg-R9dSoD72yx$5l
zk#ubnjcSlOyd!92?H`$9q)X--tuSK3n-^!Q1|I66Y*jNwc-e1QtzEQ2zC)j!XsRj}
zZH=BDoL%b$Il<?x#jJ64E_jOho(dj4%F)jblEGbP+pg^j*03zED6S!uQPFnCaF4VE
zto=F~b40A+C}^m*u9^zwf|CNXQX<IK+Vs|7$qG4s+ZTv4O1NV<L7yEZh;FMq%kefV
zG_CX*S#D9p(E}=FP9|&p)0DqA?Ti&{rsa?$rU2bn?fRFWbHFM7*M>#H3X<*}0#XBV
z*rQ&#wdgl9Ub`J(>6!#0;*EB5m&wARr%md^B0a)PMk}Iofx~S2@pp#Sy!*81G-v24
zQFHTZ!arj`hHlJmTec*6I^DwO-IfTiKOF^1wFIIwT4p=^#KGFGIBgX2izr#RKPvId
z5*w+Vn>;p&;#b9A-{8_2Vl_~I_wt&*%sXBFIuRg@gFBB%S{|DsynT8mHbq*%gQIn1
z^F<2$f2Haka-JlPt{8jT)tkd$$EN7541)M1BtO0yGC^qACQ&Qs%#nKfLBZ4+ez3_d
z4t%>hK}<D%d^P20hL&id%tJ<eNTeIoqqR*EX*QzTM~h97?`?0CCdh-PDnFqcrBj56
z=D*tLDH9|bFFbqvmlI6%V%qE2XNajN!~DM+Oz=uU#Yjez1M+Fbayw7V5(-|X`}r!2
zaqS~Z)OZmaZfCsos#E(#6lASrR<RgkqR05s*7dB&470K4qFW&DKWyu4*>8k{=9`HU
zB^DS~f1}1PFA~C=Uf<mK-VhCO!#jn{n349SQrtm!nW%5CY&NqsL}zGsl3N@T{1$Ki
z+32=H<W>GOPN+9Ppv=P{#d${TNC~e0Q}vga8tkXY=^CKklTr89Sw>I>Q#Z0?)1hZ?
z|0j+cYu-VspWN@si0a^qlhh%4DE~?ewAR!IVQ!SAwt*3E1K-~;w`9bK&^MD8w`myv
z_*z3`8zTf0)qZo|W<tS_<4!fEGzhBQQf^3Lgah+yqk0n-IP|3!GqvkssK+#Kd6*H~
zl!h&@_pcSb%-G?+?Rt2k?QA6I!2}a#(S5~v?ARD(dCYZM7d^)>IuuPZ;jg#MizA_&
zuyB2RCL=``bV^!GN6MK&%c2HF?c+v-LJvo~x-O)c<LiIMut3t%jbSmF7wLR05r*A5
z$UeNc=TrnMVxuqnt{>xrH!W(X;!z!F+-Z;J%V0wWYuSlk@&ag95Iixip@Z+kY~r;q
z*ukLCXmuoFZI4vg7f0H(5$wISuUm@~e|bt1JBKJJOPu+Bc%3%dlvDV*?r}kV-mQ9e
zZBBI^uguoI)I#LWDq+h&9$Zigkr?C@1>2U*hyDa=A-KxV^MNcMh7J{n9_kW<oBcb{
z5kW1mvTv}RRp7_sSEom(?n*%IYox048%?mR?0I{@QUFi(a;0T8OTkM+!f?k`O~f$o
zdAuV`5UC*}Vecnouvu^-C^=UXcIHin-y12=y>o+_EF%YVdjYY_=QMF8n7u@4%>$2V
z;*pM*JUV*i>INTc;+;zdGv`$i_|}b!{=KRId+~km8#%Qw%rdfT>jp8Lt(ka8&!&Wh
zp3CFf(OTfWuQ3wAC;^vl<@>pZsEAydu@B?ZhV*{f-@6Cad}`LUO>b5ii+P8v=-+9>
zQ;0h}wObn5{Yi&$SQQSZ+xA+m@xIvh&s;~SES4T~r+=YS$Mvp;{Tu%2;6%euf7t{%
zWNbQC|0+oXO6t`AOzLzowjAxpTP_dl(w7AitXjD1&d@Wl=AlMGm5e4G3J`wG6r+Do
z8@(R`Hr$M(VW-a9*{DTD@HBmTy5C0!2hOCH{4LZ6E%1cLYegysFK+%poz{Wm3ipN$
zZwzoydm+r<Ss78)UAw*gb+I*Q@IZ>X5qw3OPVYaU0<$aKreA7xVXyrCp7aG{gg#W3
z_dKQw#;!}ppZ2fK-|ZBs11hFyKQ+R;d`Jz`nL8u9J9VMK)ctI%*$g?)m1ZBfsw05%
zOx`j>7mGQMxMaL7VE?dz%E_dGzYYgfHVNy(bziV4&#Wb+&lHj!XEczuSUWxEuY-N%
zqh@RI2)EvZ<jxNo@X~cp;#tu``3&ce<TXCG@27Tbo7X`1qlmG;uQXsazHYl$${Noz
zRAv(1Xn<+(>o)B*59R9p@ck68H6BLGWt>~fzoeoF$$*Q>FboPQjy+_Jlpg+bnuF@N
zpB{C2`jsL~1l+TonyfLknz4O}TOB;_HW=j1%i+_LCn+VP*6=)8wRDSH4OC8~Yi*Z?
zP2!7f=clbvUg3K!>x&BZI@67?@vZfvsOjvkkJgA#T6e22Um3$b@sfl#1^wI%)#q!i
z!FuQ=$9ftSA*<IMg9>?}n_%y}5@`+LpFz5bYyNgl=yPz+7%RS3esN@0w#MwcDc8?d
z3W&Xx8`HLx9y>HRZr$v#g7T8<+?ywIsL{~#Z?0P;%;sE-(gUr~I+-Qa=Ohc_osMlx
z?j$i9kxQvx1@7+<_rLx`3Y(I7=U5j%5;=0>D|a)2JdX22vfL8j>#6uJqosvtwX7_Q
zmj^b!{(34rMig9ay?(Bf_08ia4Tta_0k4je<9rlhcwP%)c01ACTv2<;$0XAdxx2S4
zUh5Ntbjm)z+i|_kdz|_00vjx#HXCs+?j=9UOfOCM69dhPgU{aA{V+%FRUR(WAztw3
zBohh#gUz9_gH@Gs=1}}{fTnYd3n9POhkuA0X#S`v(-ynK47=X+E?$dZhjq^#K1sp;
zW|h1@Z%i+kg1PKk`2Hpq@M#y1P>;Q9E^k%&+CIAGN5l8>Pi$pE&VbMRG@;kc-yW!C
ztk6u58aZs3VZ?wQNsfwogXhhO)z=M66OD1}l>?36n-26{ZeazC&CRyzrOrn_8X@77
zYx>`#tHgJ4;R^*J7n}Y2X@PELMyO(aNExqLCZ>%UFShevCrlr(75pqQ#9vR2>Rgv4
z;^Jwa67}d7g3R^pkY+T*&mqFZ)qa6^Ked58J^qpib{BHE6KsH}q!N0W{9nWZ`wu^Z
z%RR($Wld+?fIbu-AG3U+Ge=BTXLWNr_Y-@hj&1jM(Z_Xeqy9;rSwi`XO@s2(5b^tx
z+Z*Fn8djft4<1#UA!;^`haPPEOz^R})enOPqXN;TPsgT-k#gn_$BIS>QSs%6Xx2lZ
zWky~n^E7c>crZCB@;l*wlX?hNdYHcbsHEo56cHn6*d@R72hn7CL-Bd5E<U{98(L>H
zMSPI7(>mq(leon+5dYjo7ewQ1_)WVhBA(@nQQiG%Vq)LbdpZL;;Ihjp8!n$B=F;W^
zIJe9aV`J@>KliQii7|PTx8gKG&y)B`n&lT!6I3Ghb5$EN&mN5q7EBX`_SVuYUGu~%
zJ^sz7)U;79mmO=aJwy0=Zxt23w@BPSGXE}phZZ!iR=>CSHbV%p?ArRR`8T1@ADO|P
zuZg=WjE`g=%@SfF?490Ie~8`Qk0a*ZY2beV009606jygV)&Cc^SN7i9y<8Xf+9N*4
zOh)!7QlYFALL@08yCi*;(V{3Sl&tc36DbiT6e*iTwh;RD`}dsl$9c}{obx=-ldVyv
z8!wl!<wJkm%B^;=JRy;5&JtuWXC*xD7+S%IJ-12Ef@okm8uu^?RE7}wj-!rpYgjJQ
zptg3>0=?c|na-Cah=_C~Q?q_!k&Sm<@qP4geIkR0BuoN**2h94gbl2rWaP8Z5(Ahd
zRYqn;E5RPxB}LnrO)U2F+s%{)Ca7a6i!mNmgc^?s_P(Jl%qK0RSm+50gnj%TbI(x`
z&h~T{xG?_3g4ewxgg>xBZL0kS^&Jtit8YeKsiFZI#+)Gy0tX!8J?a{3Lxk_Ip1SU$
zrGqxf{73#zxu9bf3peg3KugxH>un+QAUWfy#)R>}ZEE*^@8bm6uDiln&%g+^%-gKv
zt-R2FRh?~(od9NI-Fw9m6TCO&jJFKs2mQ^1mA3T?z;#C=C-^=KBwBM?*_sK0<b5@3
znn(o@Jusvj+Q0_s!atU!OoSohd+zX>u>v&d)>)J2IiURznRzi-6jbY`kDifMfP38{
zb3GTh;NS({>x1p$@LXwxXv(huF?&uNnvvjvj?@XlD-S6cP1Q<D{Z~JYk1qD+@q)e@
zmYmHa1A=Y7{z7{dpp$f~aYm0HmNr(Y!B=D<r)(v8f3^b5IG*Bn+!laFVB0^YA`cN9
z7JVmZ3E*mXz?^AH2!z%{mTM*zpwE1&Qlo$XMkYlqPu4|%V?=_nv7QLu$VPk31BlQ*
z8TRqChB)Z_oYhV(Q399ei@VoPDuUS4$<_C{l0YkVfz16t8F~x-rVMJ8z$dM6Av;?d
zj@*;0FsW04)!f3>BUZ{#m!T@$F)IT%ZSv%Abg6*>8&fh;Re{mBx3*i{<$zBrqRnZ6
z0v=?o2>D<&phIc>g+2118Qh*Q`ilxz#Fw2InW*6Jw^*pMp8$;tf0;uD)Io0Cf3!1M
z9R>^QC|zSj(AdTE%dS)dGHoKQbarb(s5n=R!Eq&c@{+eb#zqsy6cuH8Wwhbwl4N%5
z4-$MZkBcMLYr>oFT&(m|T`(4$VPJJ21L?JGZrQjdFa#fXx#+DAYcG7fm~&NNdt9Wi
z8EL|5O31F}2fM-YS<cg;$Esk*D|(jBLKALUpD0aOF@l$nPFzS=gO!tK4;%>50LR4>
z88>qQ=6#X9H4g=dy_JGa#_DjYisY(#*BE{^(GKNkQsB&$@(Z<y0yX)pY5Omm0G+dk
z$ptb6R7&^+2G>;}QXw>~-^CO{Vu`0r=G7o&$|3wNCkY0#w0mlPnZhIPhBJmLY9Q_S
zNcqt(1?Zk*;gNAQgKtm$O+tiKp?y&($Nsepm~09)=cSuLz~7pyboFG=uNijO9VZ5Q
z%KRTbUonFw7TUpC31xVr!!ND!hYxBE+=fL@m_a_fm;0215^z84SatDZ1CLk(+=^%h
z^%kROpDz)1i))onNp53y<x2_dt)?I|ec+zFj{>m8I5)Y7k75-}IVXPZGX?8u-Yjzu
zIWRjZ#AeengnxGEWomq90{a{c%!b`$;D&4EHYINbCx~21+iPqBeuVk&`&%S|t}5r`
z_tqW!ChyTRlFy7GG3~TtHJupb+SWIYs?ekSM^`j&6O94b?g?2(2*II|LDwf^jHvZN
zRu1tdfI;8XD^59n;L~M$C|1ji0w~?*)I|VP`&s4ZxOgDz7z5Ll0T#rVVm+g*fx)*&
zx57)#u!HMJ^0|?4R%9<&e8L?wf`T!-TLCW2plo=XckCf6qDc?-`0Z*4ow{B|H05+)
z(N!>eEsquTS?sqci{1^s`>rZe7PhdnB-PP;Pgdl~yd5xb-vBfl1~_YdR<T1j^4Izq
zSka!ZmhxRg`rvHmaERYz4omr(cwe-L1u>trXzY~uw};qxJym%GtFFQW+D%!IWQLuf
z>@hvCNasIC34e<ff2y&MTVO_|gl{K_&vhZ?>`v~@;Cg&x<wII#1vC0}pU%jJLl>I(
z*|*b{`tfjPt<u<3X7rIe*Pbs(2ZGku#EjpJ;j)5HWlzO1qeqJ+$N9RnA=<4w)_!mX
ze;aRG5PyvsHH_S1ThrBsY%Rlw@uds+HF4fM8=cI^<7;|tM5z{(`iV$R-d)DE<S3mt
zNGvER2*Nxiw7}!2Ue#v68cqrkmwj8#f-Y=F%Eaet0?z3bGs(Jvs~34H*SWAF>!YsT
z?*uhLu}{?Wd*&a!!+YiMMFJZlU&8Yg^EE*4W9=wLvxB?5sGxC>-i7W;^9Np&*8t+O
z_^6#04T`SH@v%2!N1QI6VZu+<p(DHN@oFF~>Klx?J93o+)vt#|zp_vVHUaB{M)&BD
z`r}*VY;G>}WYBc@>31ram^YV;Ow*%jRDXoeiyNItyKsW<92FerdA-eb7*VmFewLjL
z4@w!N2@{c}LZ9yOO1J-*kja-mvY0b3az~9+_6`b&+`N(YhJ^(Y-r24^iR444tYxcB
z&QhS>_D1H$6;@P3-8p}_njfX>&<+zcD4=F+=D%BO7uw(s8_4DnL~9?0TThOvK~P_d
zQ~xSEx)Sj|u{J{pnLm`@6gi;=q~>G$nfp1B`y-xoQ$-Q<bEJX0l1&Y`GdI`&26H1;
zF89IQ2~l+O6D6syP8I6rn_ny^@Svxaam4jjabz255P33I6}YWG|CoBri^!=>?!oPn
zXorP#uFOppCV7q+x-9Ua9T)Peo@i<Gw$Frbm$fQ<``MV1zgGZN<%Hh<d0PfO$xm<f
zJ@7BCI`(|EK@c4qmej-sWRd?09x$Dv3g>6-w*oAMk;3?MTQLQBbTdzLMsh$EY(nPq
zs^>+JP3#e6o%0Il;7}0fgo7H`y?s`uQ6+{BqV%H79|ZKy-%H@oiW(&CIv3Y?Spqe*
zoD)#@Qbb8^`KF8B6j*fS4oFXyLOq&A>9PY#=z(Oy&439CaNaAwPSYWc_B3hDiMT7H
zXihoJ+5{?GUv=U!|1N`;?|Z#G_JNExqpw=FVd}v6=5K4|A6fME+RKp+LseAyGeSvH
zOamCi)fS#h%A>MnFOHb2YDn(!!sF6^`^h>j#YJnbfCw46q{}`O<o#etIzn9w_K7qe
z4+tb6zqjvku1N~AJKMD!6s!$?*N+4&q!Q6Z!QALHD=K0zG`Y{*ssoCxVyv$V6_EyA
z>>=GWDk2zg=m~1+f!FUcoujvuP&WOw!s?q;bn0x-^{g6w5GZ8d-<nK9+_pR$m*c7E
zUwY)4*>0$5JJC{Pr;KQqm4Zg8R5USi=3MSaLkK<sC1dl-DBm$_Y~~>a?b^)BZgj<<
z@qPB&og-vKpJ5=!Fr<c#R>}spdIQ{x*A9ujO-3z#=bUP3RFPUrXh#>TF<e}pCis_-
z(VcfZLED|mNQh~H);Zr8G@n0vRvb=7o?is7x4J4Ju8WSkB77#G-?I9Q!b1M{mxqL}
zRS=MXte6+&gbAD;I(mxYtBfL|?d#Bz9O5Ce1uK@BzytRR#;yz!ikl^=C1}c^OygWh
zp>`8^9PZV;oUDX)Z!BsY6O=#&B>R@g4ioScdlB64sfeupq<yU55k^cLVUr`zOklk#
z;XpDU5v{#Ent%D<-6f6foU6ZR0`vQnOO8HMK$Cadr?j7NB5y8k;SO^X_!*x!^K_3q
z;@`0T=pD<9Ok;Rh)>e(-3~_yq+AE7xBPavRp0wytt}2?$GY0b?hwt|K$e<7(-|B#i
z>v(#+qt>jBF?834z0hBlLS}y(S_e!QaGqg3#V=g|&YIujR<tG12|mX|kTiyyTWl$B
z`2x5c4Ad#i6GfU`54<w;dvF7S^_x9Q7|c&uG5?kmMv<#ZF$NM(@w)ST8E#@2Fxv+*
zF7^qai=t=h{-!>|oZg71itaH2om$1P(P}=#Qp1t3ll2;7d!L&z9%%@w_xNA8H}RnF
zD?EDL^&MD_5p!;4*=`sJzdt9t%7tpfh*IlYomeeaDspAQ08HC-{v<TAqfJRw_t!_?
zVQfkJcoh{4psFU7C-EyQq8_{)Q~9|S6E}tL2Lts1&k?^#Yt4*?zi_(VmVJS_9b?mw
zuGWK~XzeH?Mn>cn+5Muw;4Wr4+t_c#s0YQH&YrSN^oSy0q_VfB1V83z%2IJa7lK?X
zaziX>k&~9tP_jc4o*eZ@O0rr921iKg<C%Z)+#cpN64r@7-PvXB!><FI{Ent78(a9;
z>9o}G=1=&y-t88<C~auJ@oP-r?Is>?9rp7y-5@T0{hVOUuokF{znS}QWgXX%R#^;t
zIE<HkjV=wb)q>ZlXAT}b^&9`&-RDdm9K+q~EN0yrH36;sQ2K1Rh8K`Hi<<eS@ZbIC
zENnD1;S&wzg^}$lzRxe$)ZcXmm%-S-Qpz=e9hnMc=da*mY~!8p@6X}PFOywo6*XYz
zfxA?m+zNiFUCV1BaRL8Cjeq3-KpoO@snp@&W!ymbW<jgT5}u!+xSg${4oieXw546k
zxC=>Y){1)t7jm;d=}}FEDf95Oso7;bbk$DAba550`aGvs4OIAH>Re)^y@JQQlVWW9
z@f#1f`1<U>E(*-jTK4>Uu!2*?t|r6I2EM=%o3e4_AHPI=2<ov|#qIXrP6^Q1!o5AO
z%vJx>ku<$AH3!(&@cN|m8@88r@Ibcu3sJIaVDiCxIBs(dUv~8rAg0lvZT$>43r|(}
z8pA{Lnr9ui?YiKUGeL_Uhnw1K6{<kbw{O;(P8;}#xo327p7iKZ*;Nz22{M!)GWT^t
zoA{fW`;SzX7?2)g%knNQGWdtHG%9;+;VqM&qGcX3A;RyeXrByanAZyDHYe=h+Kc`b
zqA4s$UM*0#=_d(fS9_hDcxliLV(5~178@#3P$;|PL;`Z}gw`yX7OCuVd>Zze9eIcP
z)Y!Ku!DoA_>XI)VioYuo{X~rm-Ns3VWkyOc%f~KI{(>H5jy{xhpXNpk9p8@ny;1}U
zH)d3%&4}RKpL82HUexa>t#-yq5hOE(ONx4#5LKD+vfmURx|l6YWnUnI`@XBT4FxPH
z&i~lO$b13hbcVMuK92~SCF2y`%WO!dY(CmOQV8w!YE4UZCc^7IWY^*fcJ#sJfYrho
z5fr-BUMM9^1m72HTa64{$hz97gS-46?^VOv-M<9jSFhfzZR1AmEh?->*d>tw(Zb;S
zDghD>>W&^J@uGXy3?^cB(umj3##Nk&2!@e)Q6A-dC<9f-RaVL%CW%ow6-^?fhh!Vw
zvJ*gEA5_motI8oMkH8;i6N&IZW+&&bfDn>*vHyO&RUUEA_Pi9?A_66(DVUp91hJTe
zI<-U)P-jYwVcl&-*rwylq2(1r^nKF~HHM0arkk_(X_OM=*o+B;?3F-?+pk0^q9oMy
zC7@(6jRaRCzGaY0q|m-A;_t$l$VhnhPjmA(WvG7jx^0tR2Jv5{<#_u?1w~kVV9k$F
zfwAIGwpaaR(ZT)Y23(73Xr=-?`@mlfs@$kZ^{pIQ*5fnNpQ9k+aldGpJ_`8wN}b5m
zRzMq(0ks96sK{<W>PV)7I#e_nd{r+apwiYJ#{PTi=yVT#X>pMTq_qy3Vls*-g?H8i
zchx`>Dwc$6c3PksS4Y@?MF|BJw-@Pr)j<5snI-}R9mp)bq*J*>LSAu7dGAS@NSYv;
z*e|UI5p<W6l?}*9g(kMKR7VqS{-}JQsBHjml$8Q&4ymBd2|2@(4GomSl_C1o-4G^8
zmNNs+sz|<XwD?J&23r0-xaUC>1|dFwicfH<p|P|lt)nUG=+~P%{*)$wb$(IO*(5bI
zQNLUj|9|YIVT?zrjNwAa!jQrfHI)6y`s?LJHRQ=s$y}Xe0yms@kxnP8A?6=fnwLGu
zh<zb#uua1he0l|BHrfBp5ndRiKU74l^OF)1HKw5Hr+;V7SQUjm&;GFSK^`srsG`zv
zn88zC)~B{)735xL;3}~xjru>OJ}%KRgHf$r|E+yeM&1|akNIB`MMWYVX^R?Wpw~@N
z(%eHrpN4o<Uq9kQIZG+ho$O|?@R8fB__87ryen9+vB8F{+#F|4zcvMm$84uf0|9Z*
zGcw;G(IA5DLHlaIe|~l=x3Z;A9!2%gC^Y{4iAyOG?PY(Pz#&_bWyYK=>b5jzJyu(Z
zsr}a`QhUY(DB5+Zg{(4Y;Ml`$rDHRg&h3z__}|9RvPp3~bW9SxIph|8_u3kkMzHyj
z82XQ|J0wmV7!gHL`o341Z*F6y<iSbw6TtVUK22Jt5UPnKX+C$Q1*-Gpkdr?^Bj?pM
zawtDyuZZ1S$w?2-vaqb(A228u_xA6;%!3p@>RKktFo2jEx9s465jZnATc-DNpa78{
zEG5qvAaKR_vH34U_?4HKtW3{})`T^?ou?V#sM=C@$u2{Xm3Z0PU(A4BpG{eQ+0Ou$
zVxpvX>bpU=;;zKRGaAG&q9NdNg8}B+9ThPj10Zumwx_yp;(!0xV9po=m~?$FiYU;B
zh<6{DIhj`QcwVBH?Pq#euH!z|H>3yE)=UiyuV!&Ca}9_3lk}kdqP6B7K@Vue-yVp4
zI*MP|Gr*qs4_8O_$4_q~b-^RJUy$~64^B15<IgtGLF$8posOM4&>hwgMZH~yPq5yr
zc^g9q!9o|A*Ohc&rCfy5wz(BcCU3EsIMKo9i|OVEGPL2pDx;rTE&bTI!@leFW^`~I
z`g;^tw4l5#!ax4`2(~0#$GX>%4!#K4*hwGJf|DNJj~kh%uwx<Uz?oP&pzmF<W$n>~
zll9%#yXSsl`{sn$&bQHlpx%Drn!TFfLHF_0aclwen+}q7q0&PLW#bZ4s|Jkzjw;Ic
zTf+K^Cl7yZ_&0~<cYBA-G~f?G$nA5~3g(!2DR1460U)bxUGc3tWHqg7cgCz?S2OuM
zZfi5bU~3N3cL#M4i@Ee8A!;4d+&g$>PLT=zL|L5M`bLFN|EVKqBR8?%Jr&zZzzn^$
za@30<RETo$=WIE<h1v0+9{(K60+F`3L@E;%IxUWbv1jjKwVFEdjbp4pGmt7Ic83Cd
z^(Xufd(i;yZ4o_jY8TiCOjLLP1!8bJhs+DKU>l(tbeF;bk~~?xGjG%&-{X&MUNs$@
zjEZZ#Ce8)2SJpg@#MB`6;xfafZF*psY^-r9<OaU-+p4>xRN=7cdHE1eMhIPfWXImd
z1CL@f373aeV2UP{(Y}`nLJY^%l{xqzA?ZXDvx^EWzP-w56~qEhDypt$g!02rEt9D`
zePpP7FYTT#!v>K0W<+L90QCN&NlZURhWDi3n@)drK@e-1*-U{DNTo{tRc0cC*xypG
zwLcu-Hud7$gr5kwaV;m1Yn0(JVi67G<A&AoAT@^lVlXUS%5Wh@8OmdgK9ylSQ2sIU
zJ$sl07!5ML3UyJ2s~NU};fcJE#p1Dk{+Sez1LNrK?NJ6xx*Pq+$M|3ukDW?Aw+yiC
z9=BEeS1+r`6i4zB00H@9Pak>8!WAXI;HV4A@T8A0A+{z6G3AyulP~4qkd1Ql#cpMA
zxS3`jQ7#PaqW8}gXehwe)}n5`1sUS5c%}-(ivnXUbB);x0_ZNk@cl7OhO_^jC;6Th
zhwR52lU^>0pc`P5XZ1n_I3Db~pqL>E<jW=zdViGQ)E+^C>uXiW>lk+_KO_w?sl^3V
zrOJ>eyv%IPL;)Aoq5C1pGSD`ExM;&w1+MMCWTw_mftQJQZar;~g<W5`oZYrnq5k>>
zU9Czg>>OU$MZYNrOJ;^E36>OSdVb+B`K3DC_}p#4f+;{f%lys_Ix6IHgnBa0YXDu$
z^+(4q5`c(mlQQm6q0i&O_$do5Xn9+x_NJW(y*^dv^_0}1f$QN=YLhmcxe$E$CZiHO
zRX%7XmZT0<!iO)pdg=n%e=YHp8VTlQTP;3Ts6$aYqR->j2gQzOf`2e&P+u-Q^SM|Z
zk{Xg;-tIMk2l97n0#(TnYC44+J=EctUUQ4*Z9{nZwJiDPA{my$FU?JL|LZ4)-mcT<
zpMP0W%utM1frCM0zO#%}=&iEp8cG46H)f^G^{YUWW!)Xe4K>(o{#HF=YYYa)>0Zrq
zDnRb|aJA&0KFGJ+^V@9G7*aa6*TRtsbO;3BNh=}2mzgi3F)1d{8~grKh@A?^M4j_^
zkV}NZoGkAA6%)v%aU2~kAj6D~rSkCrd8pU8`>0~KDOmfIe#v~K42fmS&NlioU^+bD
z(RJ7q3M6Mt&!>=}BJjK0Z7XrG(mato;cW_R64Juq+DgzXXTB*JF9-zH_j?Xnn8KHW
zngaDEBBZ@dxV*lb2c+T?4&UN31@dq7cv_tRpA!CkAsJSf9kyo6dSwEuo2MRTT$2am
za#H0QH!U2OlnWE_Gl8Tfv%^Q0WTEr;op6S%6)d{Ts<nH^7?$4ss4j4j0Vl;GC!euV
zEEsQpS%1kGJ~q-!_=ZbC*8Rdm`-|>k#y4D~R7H)UC{85yoR2tE-AvtC=lOzbh*ihE
zF9O)`46PH57J;+DkFI;-llVx&bAjtB0Byew@4Gb!LPgcI4I}+8JTO#=`DZ8wTQ7Gz
z$g1*#DC@wfmY_wP7#8#VX{HhQ>K4r<_wWF_l*oyqfhD|lc{aKFi6Lyd#5MD|bAh>(
z!?l=%Wjyg+M|9Tb-4Jyt%x)-n7ck3HQUh|9@m$fms0%E+;a<nyB%ujraK`ItgEW`%
z>)jQ%<1qtpV|fwCQO5w@KR$)^B`o2y6{8bAvHB1`<X$Q~P7AkxxTnw+F5;s)OHxBk
zdJyTbqp*qZU^Q3$c4)6H;3|oI5A)ddAj(Z|%GYKSbGXcN`qla`{78^>m-#_m(0^C-
zdH3NptSU`}{{=paH{7_&koHsuZdG4Uy6|fW>&X^A$&)>UV}6VCLR>oFo2*f4-8+xj
z+SDJakDbOR4>tAPKdBAZ1%H~xUzx%7W>#k>WK81M2ubX#pR_=`x@OGr&je=HqL((;
zGLCQ1%QdwbX@Rg>=U4Wf5zO5G$;D~X7@p1EA2Cy|35vls?~ZT`VHpNTu7{!#{LWrK
zOI0aN_}zB-#RzjhW>qQg%YShg_t#L-2)L#J52@$IEIU46GR-a457)lowXFx8Be*mm
zM~QE|?`%8fHLzI3ZZw38rd_k3WU7OM2k#@9v}WvTwdst=_d#5!UFz}~PIX{>&d)MO
zsKM6fCahKZ2JixxMOmGzRA~3^?(=wc4|5kD7f6;Gz}vJ;X|2VmK%@C2x%etQF4O1g
zm|61$FQ9)gQgELF#~62O)TR{Sb1L3%w(`E<btOE@{8|*ad}x1kPkt5NR6}#0qwNbW
zx}ff;m#GGy*J#H)>g)0JyYC7v=?&ngS~5w7&sD*P{63F~(1e$%54Eo^4B%;hHFMY}
zRA5G7bXes@3w~Jd>alaPgLn}`aK?EN72y08zT;1QgL@~8ycZx3;keV8j#Ex#$lyI8
z`|a90JetjFe|*I^oN&3WwmDlFxTXgyeb(RO3LY=E9vKefpDJ$dx9%swK6meGUyTpA
z#`KI!`koQ|OhL`TIcX9+?8WFfe}BYz_Qg|^PLJX>u@3TSCzar9z@DAZ&QCavdg`vm
zt}(po{6IIuKmYilZ$ZA|MIYXJ{+!__#|b=Q>yn>|m?BsX{vP<&{uw9NW%*9iPvP2>
z(<@3*L^xyM^Il<R03UeD%5ZOT8egc<ZY=&n0B&Qkz<$pmTrr7qdC%V&{P6SV7jI$&
z*d5*5kUIArFOpfKEpwd1f4#K*%J@(LMp}z=ay>@y+O1z?=gE1TrM2N)hp+;)-D)n$
z9UjF$MxFYJ9bUvKeez$Y(&ZscE=(Pzj^jCf5`iKsOL%poMwtV>JXnT(tUK&6i4W*E
z3g53<!3hRUr7UrB5ZA&xOgb=)|8DnhwYj~9&uMm_=lLrOZ@x+NLi!AT{=e!EYfbBT
zRc+Yp=>%D@Qzbq$Tbaf4v~-HZCH~;D&uqEv*<~T?r|3if{CS+ry{OewvyG4UGLmX<
z$iUVE!9ZlXi0>Z{ITCC`g9@8B3kQ^CVALYGjcs@d?<!JL?H{8>10KO=7Mi6&KJ-IZ
z!~GS!*v~}4>OMWv3B8_b_K$b1uqRc41#9?~R%d^=>x?LbKY~YxRvIiCsJ9efuj4B0
zVnIweGy3mF@4G}tDTp;QJ(Z#K2Y)_d*7sG44IMnfvqV!N2^@2bwT&Iycu>;OfC<Eo
z@``tKeZ(cf{Ay6Qi3bgeq&9F>mvSL<bJs(uHzeR~<^fy9-?ZrS#7?62Ngm|6CHALD
zNdl_9CA?)C>Cv;c75lH6d}tq=8)>{t9Nv8T_PFpFBdT7=Rq$34K!&WbeL<JSVbZYe
zWbk)p)E&@XCg321;_qn@^N)+eC*&8}WXgul8fEAluMj~L#l%N<{>2^XAE^<i*b#f!
z&9NWW;>fAN>gL;P;y}mL6c*RTg+%r3thb0#sER$GyKG(@<m2gXL|))Q{{sL3|Nj)2
zcRZEvAI633z4xBSJm+w1&vlHXL{X_wND<$%Dj5~2NXd*!D3YY9VMLCGl$D)|22xg(
z72$V&|30t#b>H_NpXYkNue<rS<St(|WyYTB_5{Cpc{n`H9{Xe~%J^DA-Shpu3d3W=
z_*}P#0<Kxe=8IFr8Kc!_qgu<<7%w%lYQCOQ#CD&>t*S1P4EB{B8}iCD7zgz|teg^+
zux=u`t|nKSLAADSc+{iCaI(IU_2{%RX3j5#N-D`QL_NCv1{8G|&WuZcg&R~Ls2=`3
zwMT(5_FH7+<7qucO-jIfe|I(PG}uu|`liHqk#|`46{{hm*w?5o8ybk^%l;G`rospd
zvsk{pmdv<Ads8)%qJ@6ZKTpeK)EMu&a-*t}DU4M!A<a&kbnrv>uts)|I-~!6xi?<}
zm661`-CrX`9|4AiSAP|1GDhwU&x(y2G0a9DXZdQ8;r2zpYwr<l#?8ZrC9Vw{Gc1nC
zog_I?;p1r*Y_VR4VWMUC6t`&%+LEQJ?R{fxb<=E75z=E!u~l{(YnU*clyaYoZZL(F
z^m|fJg+7DM&<kX>HDM&g`uRzSTOf(Dx~odskg?O8Qj+$Y#yIo-y562?E4atn-EJy3
zWK{lcv2D<%F*I3D8)gLnQ$~+Zmg|ujiy2a70z*cOh+#@jK|LK#A2Mi9!pRJudjjU>
zBr2o9NIEB$-4@hS0|HI)WX9SA&lCzbnPFMOVX;rt4zX<C{yVjU%;+B&=V~?9WAxOx
zdZiBAVXc7Z_J}z{#>VN-qlQbG42wp~>PM0G_~teA%-hS5v3hM4>07A^BgjQEY3j8-
z9=dZ~ZcsH~tbN>(dXP<)@j|x2{aTkj&W4H}=rGe`BuVI*@dXGo+}vL5_rGNiz3#t3
zDS|qTqyP!TU0=o6mu(S$ccVQ59^N@yTcO3^y2^LZbD+DnO+T}Mt<w%k_hy=|uGL^{
zPO)XZ+Vh)GuU8zsLD=EQWZA>p?^GG({GL4x4s5trVi=i_Ym1)iY!1!4lo?6=$<Euy
zcwid(F0y>a29E|*$`{xa7|Y`$#V<DsVNQ7bx`VR~Hl<UQ<6@;553)J7#(IdL?!Y2v
zP$?Z;O^<~h(8U?_#t$AJYDA$L>D~NXkdB^r4$BrU!VG^IP3o2_V(_!eWUq(;p5$*5
zDca7<c-miOFDogIFIu@rt`89~_I-Y0;xRkpuEojxct>$aE$m2S8?=VG-K+N1yOwId
z#k~5XwN4zQbe)Vxf2?q8znGuwvEQ|+Z6)olI^s|f>9UFuwZe;L^#=|?Uuz>qqU=sC
zis8%9n~U>wOR(q`e%de?Lda>m`HR+zVO`MD#)hL7=$dS@yz=BT@l`XruQG#q&s_sf
z1+UEU{?*CC*5Bhq|K%Yui6G|s;lPc)Qs%gwvAd|oX@)Sr6mUjnlNhoDSe*q9nSo)S
zq@S>|Km<$XtPXM%gNH9kvFC#+e#$rruMuNG)mmTolC5GeJ2sXj;b@B86%jnw4zR*+
zF!1=pDCYM|VKz>+CJ4Rj$=`jE9R?3xAL)7`hHYi{A4^-Api<zGq2?71Tv$_+JjpAL
zVWV$j*3W5(*d-?^6~_hHu!m!pqQtS`VzyAWGYvO27~|nCJop^9G)!ibz+g+nbMbG+
zXmHtibE^O!9Ajx5Ger{Ucw@5iGR7F+xn7BzzU0SvyHX?PZb>}*vnKt8f-#o*v+vIx
z7KESzW%Q`I6nOS6@!K^RVP$^3+Vlk>EXKdy@1-k^KwmrKbCE{K9e%NAJX{!w(|Iy^
zrZOnJ@vC;4VuXKu?r$^PMbKe6yI*~mERJ`wdjFiJLT=-^FCT0~QJS=cTAMG2gw3-f
zKWeFPq9yRgnuy_&ZGW4{f;@sw2%kQcNd=KbPv$id2glLLH5c|PqHk;AJ-=`&_zeQ*
zTWut;IcML%(-<W<U0F46?L~!U#7O_Jha~o8-imc}Rz`~F9iz{#RNQs_oJEe8!u(j>
z`C^g^y!XwID{Y~IV}f^XZKX8A<0sr+3aNtgQ)czJ9~C=IHq0GcmO)UnbA;K7D$K-l
z=w|U$w0Iw)wz|q8jCS1Ba#{^*jvU>wc%O<+;S2jZ9?K)Ai6(M>Tpe-SbM&-+QSl)-
zj`CPT5vnH^ul@H!1M7Q@?-f}a;a8(ARnS!l*^eI9p8BeZE2r6<t*;s(MwTyBOhOq|
zl=PMHPA&XQn95ESGse`^T6fKUWpo!S&d5L0#un2vUlwzWL9Dqocju-GtXlU7&u5b$
zmOAK=M5950Ux`!}u8P5h&e>j19h_@CI`e*jhU4ln5}z&AFt*0%$5Ren)Lv^JSt&39
zZMR;{iB;-QVE6`kr|5#y-{N3&m?^SD_mpQoQ%8f`A*l<Kx^OQ&&?mjo3>GAc(~A%d
zxa9P`idWOa!$+=3lcwfK{*Zb*K}-|N3YwpUH1x3ZUSpkywgp;kd9KrMXrfoTu?bVU
zxF01$;*+;TUYwHi4izm-wS4N$iPr^nM3h@i&<YCvff4_m(n8qrHQJ{>>0mtyp8G9W
zp-oWOJ)}ts-m1p5$R!e5WVA*Cd#w?9VQ<jzv=)?1h3;vMXhY_~myYQh1Uyz<xy8Pu
zh2ARbIsco?{oau7OBeuxw>w0e2eh!G`D?)>p^29Z4+<iW0{yMCQhFs?perI}zEU0B
z65j)OY5-$v19ui@Ef6%V=$lGvs45M=UOfhU9eI9&r&AO4>GY4W$5gQUYyBN*J~|G~
zb_jm6(ge@?>Xn*4CG_O4ud$M)BRZh9tmV80UKb`VXQwED+-Ae~R)!9~LVdpcx9ZUI
za9w@xj4WiU?L1p}={RF0crtQE4Z~|j8aT?O5G%%EaOW3r=G2?8+oEcy-yQrYNm&99
zZ0q!wUju3X`P;^6t0HYtCZxGl6i+O5Mnbay(XZ}-;ub1co|;>4|4JC~L#J#iJpnH>
zb508<Wvuau*j&acgm<ZR^PzG;@UQJ`zTQe$veY|i%FmCFWv?s9cL_A=Dwv4QDByY7
zoyPk)Jm5G`TgNI#z}zvB9BwWTkwO|Fagz%HUk#oXp0q|~!&_<g3$jSmDY|E>#fgiJ
z)6*OyR)}$J3}WGufsOPx7b9T~?D{r%<jn>vtQ;`0Z@D0axIV{b!ELLd@c8aQiwBm_
zT`bNQha@(>KfT)MH#<aI?raYfw?tNagKaOT1bz~6tLnPgvAsJtN+;R^g!ufe)NwJ`
zIT*UX`pXXAn-mv~0dvH4HHOirM6pm6eco&9Y9#n3zwg^%j&`={z-$pw3{p<bFa}pc
zdQ;!Gil=5McfERfVWSAP>rU1np95$4hXuLy%&>nv_Ip98FqUKVW31vh!R}T0Sg61h
zPjY6pOO%Cif<@6?B7qB<$MWuR%9^6;`OzlvG9gSwe>g05mm7OZbJr?fWafPJ%*dFB
z5PmkfT--d(gMHqa`%X!lfMwC!)>J_V7KhB_?r-CRQ21f0e?ATLXc>yaq#(wB+zPw#
zfghu9|0Dg;ra|!KQl@E}AX<Mq?{$b0#6|aPVUJ2<9O-&dVBaqY8v8IIctr@pujbOa
zHW;HKIQI(+uMmpz4%DV32}6-OTbDm<gl4rpEe|Y&P`<zZqvIJ76zf^#EuS_*K}FPL
zORNx<6ik=dE{VcV!z&iLM&K2<OceYegsAg$m)t5bEC5nKt-l?-ne(iNiWAdQ?G6sY
zsA^I<!v0Gf=jVD(_Mf3buf@sHzd;x(lE>fanMgwSHpeSbTPos?*a{x@5`p}cZP{Fz
zQn)9je()<B6-k0m&ZcpQVooHtDU5^3mtQ??ADbv>F$ov{@j?{&^PHwSDYDqDw7<C|
zkAlY;6_*}f5W@kLK(#u3d8{*P+rtq>!4VZVNotHZ#AY40#0@E+ps1How~GQl!RvJe
z5fZ53Oa6LqyAm|p<D2U?QV>x3_97)w5+Om;eG}`IaWwZ0jn$cg?Z+te#XC~?;j~q3
zcC88;Jfl4`wowpKw(I-k4{6-h{cnEIMHN^2ZqH<gQjmU{veaQJ3*{~c|KMF}*wg%R
z9G595d{W-1m@5azYMF;`4yof^ipElX2L;t})=y`}6cA=0Ba)e_0gg=B5FbS<thXJ!
z$(OGP*39(l^|v+gQ>{PE>=+fLGjg4;uP9--MXn>iUJFIS{^mQTsNmlBgo`Uw8Mg)9
z{Ih$tk(R-#lf&e7@NN6kkJhOme9QWM+rN;&THvIgC}|9V!Y$=pnySdT!|&77se`J|
z7ya!TnVul!cA0}i4fnmdW;O2XVw11lP+%qv0Ta&FA>Y)%`{P8rRFEEW?b3EmgqmRJ
z!?uFA%-r0X{%4YVSr1(X<fR24Q#g2=-SJD*fa9~8_D~;vY_y(W>Gv_i(k<3jqjj1v
zsxt_&Kd+CgA#AO4`_1uOP9gZuf+p5lvvNip(?_CtqIpf61vZ=%h$phN@T2b3wPSkv
zcst;{u_>GBd-g`jO_JKE`|Q8acTo?vS`LAdx2%9&ZA017+W1uFY?s2&#X_uWwMLmW
z-hA|VuFT|U<O8>u4aGWW*GtgaUqYaK#^0#ulQw2`U|j4<!s5Yw45n@)vB@FNu}d2f
zw@TvM-)bT1ez0QE4M3RjS#52xHXL{Fr_*IL5j<GWHaN%hUi)_`EN<EuDJJeMJE?<J
zF}Z7oM#uS$@vj$pwSdT*JAVYL;)PO5_@XZzJPe_Ioz_gQoq3`7Aw?OHcfwwFMbi;H
z8?Z_4lqNF#bGe#A6_Na|>Vwn?I&L*5h$}tNKu*c)0MAibh~4ZCnL13zsdm0+_g||+
z`1Yx1{kc-`*A6pW<w?itx1TQ#Hml)5WnXiAmN>R;-u{zDrK5Z&Yud*KRZKiFlUM8)
zf&FQxwBlvJWXI_Kq#6|{behNoMhc-!Z}w9V1IThWA4|EfjHbpva{L{9xR%=8b217j
zxHYUGenSc2?Pc%QZ|BC!(%#SpeW3jVmrt0jBI>`oUy44;0gp88Go>{IM$FW71UJYt
z=fG)bzY#k+VvflvNfC%x+)JL=FN@0zN~~xoE7B{+o>&E2<K=apho4KN;p*~)6tBJt
zPjnA623}fW+gx$ZZ8j;akWJbfY*}zzV!h~j87qA4e)gAgR07uqEF+g=RtTpZQ`jA9
ziH#T6d_BeNA;HbN1P+R<5G*caOWU^=C_WXtNuWa%HwW`BrjS>N?nW=`E_Dn1;@Rz1
zdQSwt7axa})UOb2RwVPxljfj%QpMig7RF7ZtX+q^S@4x@<XrD}GYCP@B>#;NR)^&z
zDRHktX@k$#Aty7aZP+-=x>^YTisT>V_N>Con4La9o|s}J()~yLQvv)4G>rc5H7i^_
z4+pZVn?g1BQnqptKf2XlhiG-N;bA>5`_^m|Y^%{F(O>d`x>o6G&@wyzzKq#2!*2re
z%_jO52|jE|y%P0+&H)Y9zgzz%(vT9{9rfoTFI1g|Of2#^!TWC4WF!|2f9xnF-yC_7
zkaE~zR+JmW+N1|*=ZvxMQB;7sCNJii<fZo%@}RUT+hLcuF~s`Mr>`>LMTf~TByHdW
zd&S#EjzS|0f67x_?ad40{G$3UQ33Sl#<4y$Ho~<|)h}F?ybxoLaTl8xMB}lKIa$qA
zEWmg_*^CcPml)#)%R<<Ym=r%ANQL1rU-rajKHTvA9F-_6f-tT{$7Oyh{_QV4`S&(I
zYJ?kiZ!-}^nw!vF*>VcPrn3q*T@}EnmW=95h#1(i|E<5VmjV__=04LZK{zTn>eSSV
zV|8Cgn1DP5za&EDFB}yDbx!2FfVw1#Sw$4PKalbMLZ{dySr~0h`LZsMg6xlZ(TuBP
zILBq%=PU?=f1Ooy0<+hg7yidNb%2Z)k{pxL??o_g`lOTPr!0Q`?tk}i4H;^i=Dz=Z
zD~j*)cb=VoB#%FjbiykC|4y=Bpt-3-4E7C<*+n^uxMf^8uqaMOZ`44e!XI%&rxvpj
ztx9+jdv|lXAQ|T;o@@xxmV}LNx3DYI_m$%9avw;L!9PCbBN!ot;#-bBF$*fp|3~0p
zsV<qBzXpfQK1rjEr{uq9Dr#_@@){a-C8L@~2zGCi#hMlFODS8_A=A4hU^<BmdT^I_
z<d_^hMkW}~nS5Ewj%;`9CPVJD^acAY1w8oe9kH)X6V2>~ZkK5kyln{=^d~7{c~Z5y
zTvQw7Pm3<Dy+eWY-W=zDBFcDe;8;1r%t;l$(oK~X%zl&ws{?E**y#O9lXgZ2YYk3E
zvky?Q!(J`9?XL<hP-gjS?&-oQXN&hI=KQ4kC0%*^M-}sF?~dm@)5E6v#Sy<_#t8K-
zi<h2I!|BV4*EsL!!|b#h4`&z+k*bCF_YSF}v-sMdlu!el+6^1qqbA5d@-8jBO9NKs
zWzANr3=v+at(2H+ienri1F4moQ2zEzNmIuV$$N_0L|V=8c(44o!gE?+E!%5CqZmSW
z(2o3-&jPvn1O3j9+DPO+=|3uBh_7w_Ppdat!te5L+W&inf_?R+(F+Dx-`RcKFT)C>
zec63W`$%{Yq4G`Qp+0Co*Ui6gvW94@qMPzd5;|CVUTr<D2We%mSFfiDOvWYFKAt9F
zAR>K7B#SPt_&ME6hyyZyuUa=hPXd4CA>LIWA)wnePGcTuc6f`ZRubZ>jZfTMr-hRf
zX;;Y}bQ~5HKWl%4gggUhkrV?B<cqg?h2NxO=%X3!`?NMf#v+V0n7wt+Ym3SI{dBl!
zG<mqM)kag~zY(^#${5}~dgS2}9VAWHu&%>eIPWR6J)Tg6iQ5BSQw|#ltg24TVRDC~
zE&PgvoGjvI^6tL<OUH%oi}o2&8Zf?3HXS1*F_p1G&G<maTy5nZ7Eg7|2Zin3{8SX(
z??}ROrF86We>iAhsD}QV5n+!m3Zc`AwO8f<9eI<5>&Qzgu+V>Yb&Q!4gWPK^ph1VG
zaN?%C24!SDm36r$#EGgIK@QPwVCR9;<zd-MpwPqGqxIRKF?DNQ&v7QFC`MvGJ}N-q
zsYl~K4i=cwpAW~X1Ct-y54z;bK|&^fNn31@XcE>I+m%MZrQ$_*$uSvp)%~qbT|Y<s
zBi-}f-DQmm)9oaMV^WxNVX(8LOcP=MT8~LdTO+S_Vtevc3H;tG{7<;*H}R<;UYL8Q
z6#}2cmsSmnA@|g#s^nW!#M&o?^sPmfIDhasDPl9zOQ*M9T}PiH?A|ojH~q4}!3h`M
z=I_E-bnDx5+joj^&L@q{Sy|v_TGXIc9+MYxJ-%(TQ^bE;j0VW5=3qH;xOVxs07QLn
zq@MZtn@Af@HGaV4%SN4EhrS6ujK{vM*CI_5o(JNOWYEpf>vhiSi7qd;uJ<mnDV-rY
z6K2zfu9`yXa?>WE5^ij6GZXjlog>z@xBf0+HwD`W&*)ZfE|jM%Fw!0V67M(v(e3-s
z1V*k(j74WoY@Xb(b<37TqHj^eF0z+~GZ&X1rG#>z?2N=7zQiTsPP;tck##gA-0Mi}
zez_W|R;7BqeJjLhH}ykjtubZ__j-5Pug1TWWd$9bRhV!&Qk!gMjFp#%wfd&m@#d~~
zreP#2+HMF&UN1L7n7m$gT0J{{^ZyW<?PY^V*>Repxe=;YBx1(v*b$`nH+s~0H6mQ|
zT)69~cs+W4#_k(CY8`%U9q#3Te}ULixDyo@2UU62Xsm|L9-9E^qg?p>W<fdP6Epw)
zH2CMwt%g*tQ^Sfm546ccWD3*IH~!qLSS8MZ&KR#ZUQB+@nP0YS=Al5!yONX6;K2E7
zthz=b0yx&YMl-5}48zvH=Q7W6qPbpytxrk_Y*VT-hc}SXo$Bt#7tIA(@63-ROJP(~
zyR>-c3=#Kzq{8VOH>^FwvfmyQ!OWbrMfwdx^c`<Cx2fZSsPuKO^p~PI@q3^7Ax}eG
z&htu_m*qoIea~YbJ#h>%A`-~bhLF|ETHcVukFm*3|D+#CKwr8y_;Hm1Mn@N0qHG1B
ze90{$bCVQIx;V)eZU(Ub+fiJT#O(9_0d5zBWMJA<)qZ+OAEuQ8n{J#DM!C|$-Kt-*
zsIWCU5%^Rezt4*WpU4-%VaCtey_52Iq#r%D%=GcHLfQ_WW>IvxTwm4Btpq{K9Tg=}
z`VcX#*z6=Gj(ff@NvrgfG2U4vtQx0}8j@$Q*&zv7r+xYH*hd8)c4>!37U|>3W@(kh
zNoHPH>suTtRz=WIN|eZ`KAN)GS9B7k@l?0+m+g`oG7o&%U%bTtXN#Oh#4ThY@nba3
z&qo94W{Nb6p9UD{u-cKyEsu+P`42iVIb}-ce9yMU5I4n-x=;O9z{xEud-gH&Th}VM
z)S!i#-<;gH`lFPvTdm4*j+w{F+HuP8CF6410h_i2WfV|&GP<pF5h&YJK@z1v^L6pn
z%Xuo;RZ=e=bXyNO!OteszEO~BMCSTdt%~dm6`Rg-8ensGv_)DQmFb<Nstcdha8kYF
zmz|0scALHzIR3>5JU=g{_OfbVrsyYIS*am9MMBDp1!y3p)&5#i*2GhFEvr;%GA`+)
zsdMZwK{=neW4wtLlD2>HqV6H1X!_d(Ypp5PY<!%hZ>5ccdIECViDXDTW_f65YK~10
zQg2XnN!ZA#;#?C$21z?iBLA5M?B#lnhAfdl8b9WkVok=CE9+zR9Iaq{!RJ6ri4J(?
zJ}7E68e;XHiA#me*2v$vwdEQ~7eALc3Zt3#-@x7G8l(gW^{1<-M(JYz8G+3a%sCKI
zyX;Wi2snS6dH*Ft7d)Z)bFD{p5x!>Ks>t1RC>%c%qjE?W`dl9`%c+teAO1U1aexlS
zU*fF3ye|4*b@@f4YhvgQyXIC08>|-DtQ(N5gCH%<4sT|UOkT4^NB6u9-spy95N}90
z(dOYetgV8UiI!2ravO~M{w<qj_AmXgf2T{A6tKO<tIPX^4Zgm3>tj=;g`<k=YTcRr
zd*P!OZTyi9{w!C#>^!OoiL#CwS&BG9BGXBu%>84;L@PdPX~3tTs`>b&5M(-+H_UHl
zp1U9>l>0&r@6~meGrW1w`9qm+fX4>CB|b-nw=g+6{oVKS7#qZQvi5mDqT>~BQrgIO
zW!U{QHD6|3BEDrE5P83uj%BgK<zq2QSQjC>-&}Q?IG4-6+xiy}8&Oy9Yp#He$&;!1
z$|J=4b^!sN)6D*;o_O+WHq+Cj{M>m1`-zQ;OKD_T;B-jmn_4MpY?HDMlJjaJQaqZg
z1HB1c^$_+vQzwC!`#*-={8K~>nz+a9JZBBApZvlq7sSA65jcFVqO8{K&0U9vr&e%2
zD&fm^K?DMDoVj+TuD0-%T6pO%OLz@M$3)i&;dsK2E6rzK*0yqG$rfo@;`sd4(hjNs
zsx8-!Ia<G{)nNN~n$w@@MeeI3$IW<Aq2M%j*R7`Zy4Bg^lef%qe_{{&nKWk3KG5)>
zx!kS2A*WouW7-TC@)-N5G!A4M4W+-4I87u)HcpUi&0v1Q;wzUbJ6iVaUR@qgPFyQ-
zF*3_GMaI5lzX?}XwAf5>uVHyj^nC~^be}ZAZq4qDS_TW=JzV^FA*PKuv-{Yst<EM0
zl?lllY*{9B9Uh%n^{9u)I41Ot^8pPnk_W4OPyQpqyewEsMf(Xyl_D2HiiVH-UMzjS
zxIj#>X+IQR`;ADHW}WPeH-?Nw-QRJxzr<bhG{=>+A>wKFr|sAO7-8OAF7!jq9C35Q
zTGO4wKZyEwtSZU=Mi7%o52>h~C0=~0%A9l@BU%DvOT#`>@!rb1a5vj5aa3l8Rj%e2
z(Jh}fXW>DGjsLs#$Kz)R`2ebTYrzze?add{@qvO@^rKo~7Bj?mm7RZX9{fXm4m$Wx
zV<!cF>VB>B)|?^Y?GjGJxz7;u&-0=*hsgM8oL;4BH$x<ItJ`Y2%n?V+S<T-BlW}M6
z+*!Mn8Djm7ov-V6{U!bl9skI-YzQ^)ZNDZtW{Cpsv^#^zi-ZEVT1I<{A#xZZ*Jny*
ziCdnP-X8r+gcxNh(n#G9mBmK<<q>m))h3-qJslSGc-8*f9%F#c@M&$Gka>d9#Qvt@
z=qlKT`iv$%)`wMle^O`0U!q$--{-|oR^;)!77NenLGn4*wr2wi1jluT&fze2gm)@S
z$y@6|{@`R_q|ZMhSpR*pp)3ayX1A;xNY+K`(u+_T!DZsaxsS`|hB+aUTf%;KNC#zm
z1K7=etq>_Xnsa_1xiJ@(|M{c64p=wkJ&#~rg`T|{zMTuaaAY%`9=OZQ!Gwgyacx$N
zw+72vt`op>k0i4l$|M|q_4R;Y2pi-ivqF{qg`jOwP&%EfjUi*X4uc+cB<&O87<na(
z%|g7}($uwKE2j}T=)-|+EY~CW?L_fE00030{}h*ZJk|df$GLX)$R_(5_j2zwGx{8(
zqC_$(m7<W+_@be#kQGIwlq89ky%M@dl2u43%8E9!lHJemzxU&D9*_4q@Au<8UeDJ{
z+u7`xS*1G6iI-=vi*m!F>bXCrBVw>T|LL%qt2*eOF-XWA<AF~(1$kx<#ews&NRap%
zb=V%fXr=gv7Xprc-qd$Z5}v*|rkmDGhG_NuElU&u=na$+A9^AUr>_XRjol{0#;v{A
z18s$1{fp*^@d;U|QTicrCyESv=lTRrWC+6^^4^*wht|Qg%Y}<iqRH_1htQ@S0-_+H
zty!JRt_aN$za>+$$*`Maen>Dw3=SUHCKq^82?7g(pSur{fn>bL@w~k_JbAIXxbKfL
zsOtEUpIN9wN#jNj0~JY_jp~>4Oi_i8rZTsO-l)T@_fG31IcYfJ^{K6P3mNDq9v!KQ
z(SRNNj6d$CvcO@hu=b+32FMv~dsGvs3C~!M>%I+>2b;8zZSB*V&={S_-I=Qeh8uX@
z1x_h|*OkWb<xdo#C&_kdN>ky`nh{xYl_JEi^zXH5)`m47U7q*8*M{aQhv{h{Wk@po
zN-o|-gV#12UY7gQKqRr;v)*3?m{!`q3oYnSI>eGDolA$;!HJV^22>&4h70s%7!VW?
zA6dzz3!K97jCp%9jJJ&oEPY^rdrM2k!)to*!OAbRwMHERBMVg@{HF^Fv}?g%?F?YZ
zCVtjiQ4{8Sidsy2bs_N11hr1v2#VTwP-Fhnf`|)G?tJ9Z12=>9uBWNSF!D!d|A%`N
zINwmUrEWqO;!a4a4-%$uIR2@OOCA+uUjHo#O3;O;t+#p}@7w^zVdDXl;o1<+#!eCL
zWx$MILg)+~U~+?aiKDa*ur<xiioB<T;^`i3Q4Mnlf)k|bBRU|+OI0(Dqk-hV7+B%5
z0B+gGlHJF2Kxy_;YV8sgWG|noIP%H@Zid8m`Y7mtw3CPQrHh)-b!`9Hj(wI8pE#&c
zzuGs3_l(V!cWTf&%NHcyYzdJ8EV(T=sE}#aIMmFi3|u|$q?UQCAm0A$Laq-5&L#@o
zznd=)wMm{HUGi2SV0itg);~>nsH+_pnj-<i>j#_n^I3t=-je9Qhcw{Xs3AwPt}wJ5
z6aVq=y(RDuKl^?)mkc$^yg{dabAqJxLJoV3CHOjZoR58{3d*XEIXWT>MDf#OX;Vs;
z@c0t(xNt@p<PA?rRQ&u*gzP=EIGJw&Un52oZ?9E?PQDe<*L&NU_BgfOmu>+khsBR?
zBNQOva)E{P{V}G%;=qlbd~;a2-F=&9N)~iZotM8O@RzCdG<Bp@(;Td<b1$VOO2O5K
zs*%;I%gk9K{b77AK$>#NQxy+!NJ~hM@Tg?Li-e_?G8tfxkh8|aqoPp#A}{otDhXS8
z@+UQ&2@vAw3@I-Vf^yHdE$9A`@WRiNPuM*-z^j218PE6eLBy*7KCi=UxcKHL%{9af
zV(vEF-O|nlwsj9-IhYN1e!ETR-!%oV?-82i#cU8ZFR}g2E;cm1y=C=a0@l<PuHof>
zL~woEO%gvFYW2P$3`r(H8wuGLzh|DHkBEN#`G|y$H*3zh6UHEun9G0d_%yK;8JHDH
zkkHB|rI(0Y5AA9ayZ+dY5^m>&Iz~HL(J<`6_s#7_km|9ZL;v!b=*}ux<o9RAS4pm+
z^GZfw%U$1Vxu%P7uPx*3U&o3+IJonM&Kts0y1Gn|&r^c`PClt;fCaaHxOo3ouK`5O
z$Iu>f)G)CnOLcoW3+8*ygtu=nfUPI}mvhbEF{P|HmkRH*;OG74-3%V+gP7A&iL6XN
zGqB8Es<wayBOZ0iT@lxZ8~SyOo&ScJ$K|9-+PYYfG%Uu*jn#u2l2wj1@!y#-OnPj;
zBrDEle)V-?)dQYL$E@(?QD%id$C0`~R-9l9WIYwE3-d;Cd-^>mm@iMngjmkA;&k&^
z)%Y?4TB?73T;4v#WH?wH(YQgv_g44)^TQeN-QZr#Gwm7Xo`-Veojchur%<;tmzM$2
z_6f2#IA@tQzr+r98nUB`1C7~vgAU2Vb38W({xYrJ^K<kXbKv<;FM<p->2NOFZ(%pi
zGi5&fbo=PeiER51@N_Y0a8@;;Qm$Z;c_^_UAR(U%7sl5!a5oLM#fn&t7A-UNx=Hs&
zm3YwWU0|xhgbrxC$uRG>{$t{=yKkX(4T`?y4{6ocfq;}`g$o?4IDRXcP>AP44*OH}
z!;#uhEa;cyX+T0F)48sbQ3810+f@Bs9~DY_7rlpq*pN?ga-?Lp5Ed4lcBGh7LGpK}
z*YHPn>}C;5wY(&Zd;!7dGYcqi=zIRhqb{6yNMroS>mCtQ_Q|W{(xiZWy194KZ!V-Y
zUz^^sSq$^(idNo5T43ZIXB+v52N(W%ewpc7i;3l-m*+NVK`(_lb|sD%TXNSG4n#{}
zGE3xM`lu$@yX&(^C-bANTC26?ektS|-&prLOB2GrM}5j@5Ja0qGYN2$!BDxaY+b&Z
zaAp4)k*>AEXt3c%MQfBChILAF=i6#R!lCFxp6(*(0l(NXd)MK&p6A*M8#O^D(Ca2N
zilWBl^KF4tMeN+qEce*02}S>wWJPV)VkD_8iXN$i9(`%QR1!3y<=UQzL*wGuEyz}A
zKdFr70=ii#Bbsn}{-x4|LP=~A=XxU;po*r{bs`52X#sD|JI20bY0OzXzHML)8NF4i
z_ZA9Mz?W2i>Ev};Ec<U(Po+d1X>ZS&OHEPWa2$yqS1pfLWs%-Xhc)pxZ*pcJuQpsT
zWXpULrhpZ%{N?A=D0tSaHMilQ4s0(@Yc?%b#PGH$yUs6EJZ@Ne$vun)$e-8#W<m)Q
zq@dk2T?dbcS5aR2)8X4aNxSdsRj}j7@WA#vG@K!nU0E(OAa26NVmVe76EaMiuJ5O#
zebws+679O+SJoix^GOZwesr)~;bfqwyuW+ldVSb-^{)H@Ep^o5i<HKA20k2`Ex6xk
z0K@W%eWNEd@GaRhviKVVyF%8?q@Oi{_2)PL=FHN>&$q944G8EW%i8<3#TLe}k`!;z
z{8S6Ms_cv%78uxn{CJ*=oGDy8aphIVBMRDa{qvf;$3XRRr?F#8X3)?XTwi^hif5l+
zc$3b}z~?R%_uJkQV0Zo2fx5-j_jBM#wmKaXBnM6lH2^%BjMYD}MH?q%ls&F+(~yr}
zHjFjN9FohLE`hT)s!ZlMj=58@*tp?q1z`c&3;o@uQrhUEmSrrlR}+(nti<Ry7Qpi>
zw9q=0iUu4Ri;8k&42|}b%r>xu+;2v(p^bta`N_45FO|`!VC>TIKud5nI3Qltq=jKp
zhNJBM3dlA0k@tM6B@8btv*smeqJehX!I~&(TvPp*<dA3yXXJ!d3RE;uGBeAeHBAhE
z?b<#wd*uI|edgqxM#jSTk79kp1ki9`$myV#C2;Jmj`E#V#eQY0Z(%YVI43yUKH6;o
zZN{M#k4-ArIn!oxLVbZLGO{w->SqB)ih}*MSCud<B&u@j^&d>HUE9^#*erlN{r=40
zumaNN-*mTKVKV(L?s&s-*&H-qrb+F&Adhx)kEChTUc&9)eeMP^b5L5F(rdd<2E|4`
zD{T<^No=x8zn6UzfTPN2rv9KLGUQJ#9c-K=8fw@L!W04K&N7V--&~8S_tvvA*Zv_s
zNN-!-y2`=Zl??ebc2PXrl2<3J|CcB}p3d8KYy((O_EJ9G6GHM&*YuNz=7@<a8{{u1
zn1Sl@qTQYeKI9)WJ;msqBknGg(Z7_M!m)Ah$O0A~tfIMiG`yT6>UNcX9UV4-j<21h
zkN^(MPE^(t+B!$1M`;!ZNt?h`6_z;bO(g6dDNABa_)C1LJUw8&%NVYlWRE{Nu)?%w
z*4z1J&l0M7O?lJl>p>?>oj&nyo~c^qLVtVz4?$e={w?|42vBb+ac<8aW^ljIpw8VH
z;)aW2kn?&YsFIZ`@b{Ty>L)iwHDpZ_)&qiRTN4eTJU`o?==;Ug@!aI~vSf-lcQXU-
zj~YOjgH&Zo^%v$MBPs4f?<CQ~x0_|{s-IMH6mOl}Imi_K^9`A@lSEjIz_fFzK5RE?
zS7E2UXYQ7_SS$#dAeb3;hFa_N;m3<0iO1=0n9LeSJTd>97<;i+W&dS8_#_kgFfP7^
zIguvMC1d)VxI=V#y;$X-k$%+DN2^%os~xv9GhU1ne?6|LY6a?ot5wZO*VCoMlIT7i
zzl3qZ>1&`~zzhSFG6#%DhhGv-`=%Hf>Epy~q`6m+KLbL3em^mPtChGqUAUWdVx0IM
z<-edhO9$&u+x;b)-x0sgmh!|z|0Xnz*)?2(=#cp6-X-^?_e9_MD7Po{38FeAziEbp
z4t_ztSANZXB&IsTs}^e~h=mt-#73{uKqcR>p0#6uu)pG}LO(T0$QkmSQ&*;e^QEiq
zMz4nmyiB$cvz;Ow4FAZ|SAFe^QLdN6dBa5U#1jMN=4pasWkk&NrZyOd8SmM8?F(TL
z`{QYj&kW(DdE{x)8!GhPdExC6`;C}23IBPw<PVX_=YCy@iwc*&lAh-#{vdkJH0_=w
z|0VW3`{|y(i2^Hb_joFcei3WqlqEMc%@MWjD#2p$T99S3wR2`_jL@8mnQgqeKzvgl
zuZw!G3H6N?HQv+-Vw;GyqEhA(!PogRa8_LtlypvH{XR2EM9Qx-yU@2nY%O?p=0unV
z7%gxO1%8?$-dC0LzI)69rQEr<x%$<?B(P*>s@n{aX8&|%hKB^@{#q%6=IRjhNyUVl
zG)tto%*Ct3vqAs#mvN0JWQdWzX!y4IFY)p2r`&RV4w%=nuT_>K!-2;)&YITD6LQv_
zb$ixufrjJuYQ<}65W^9W`lD}=7$PX2R0Mb+=lj+1%VKKK#QWIgJ$;2Z;L7(TdLu6^
zIu2}{x}^$rT+@Pv`&nR~W%`GE89%W6JU%n6r3#8QU#DKaWQESK3rB+KLJ%8sXXs$P
z3T*jXl~!xZ1_}-7lB|z}p^hBwVD6&=bB@~&-&$aYb+58;<7QDvFRq@flT-nVt-<#=
zIyiwZ^~3Z9zO|sfAa%~GOBs%?E6bYi=7zehnzlmA;@}i|l5aXw88*4v)t2$|!Xu-X
ziSDve&{ZGcpA@VNr(Qd#R-WSrC2vly@5f}|kA3Ra_s5i>R=gp3pRf?zl6g`&KO+aP
zw!|&;1SmuIttVb~7lpxI;M;jeR|N=Wb(ghBUA^Cbo7O`aQ6T-$>%;eopd&}h+uyAW
zDP48+p>8o4*y_an&|ewKD0(?&#ww6(I^MapQXJF-==XMOtHRlfoGZl*DlqL+-@#HZ
z2`ff91zWhtV9-JPaO|QgoKk!*SGXt*eg=aV+m_Vf$-43_Gw0M`r>r3NQ8zgl6}Orw
z=hcEW-%@N+3dxXQ>(%Twwhro;sVlwORH)oLX=<#a0o1Xy5T>Idgr4z}$#&BLiHXW$
zWfm<sw&C?R!FnaoBJnj_Hqv0vjG&MQg$lk!;wxaS0(o=(4C{|{u=M?~MzLB4)O3fY
zAN8n$Q=)li<NyP%Wf+ycbEU)OZ>&-Z0c7x6+uEw%tP6$5LVj}z=z>deyXaFP4LFq(
z>(sldJ6o?bRehe-gQwGB*#$Y8@PWj4Id4^`^d7`h{e%tSp+(Q>qgoV@%O~9rIj#>i
zs@v`RoYw=(f1(w6SE+D;uGckwOdra7OOppHOkilP_b+doHaM8GoaGeNhxJA8lB?7<
zK!)tyg~uH_uvcoZaoR->GO~G23~d5<b=9Lu!I}n%HQTCkjC6rfKiAcBWR?3{WSeC|
zXb@1eRr*H_9Uga{An*6L0KZP2it#8KTq=!=*Z!shVoQ6hBb+UPrph$dJ3xbyR~vT4
z^k~5@P80VOZYww`W^VkNhX(vV1TR0lKn50#W>@)WD+ql+lJDcyfx{0wOxlE%;q&P_
zvR|7Od=biNoGPM%^nVZAOakO!pXrS|*N3e@oKoAvEkXhJR}NnaHm`;C&%RzOYqWxJ
z8%pj?V@+tk`swYxr@YXU?_Db!Wd-W?pZcgK>L90<LUed76YUChF?1CxxHK$ftEQ|5
zhZj2@S4s8}S2r^c`aZUVmaw6kw=62q`m@;W^0zO{G0R%9RAo!}<a=XF&7dL-j#Pe1
zy)e&w{q~HWU9trvRm+hc-&_aU4K~4J2T0hE*&F-*pE-PpI<0r*whU1Jymk{$=0ulx
z{v*=I%%SS%R}=Ma32?n#>oIth2W>tCwl?(v?4BP@iL@1izv0>iq?^2WF5LZ2nj=8_
zMy_95IE0~fV_ou*K0X}KyF;DIARs4G=E*&FKDci>M0<XT9|`;Wzmo24fVt|fT|QBq
z;B#ZTa_}`jCO&m96e%-<b|o2~ic74(u`kJ6?gc*vKC6GU*kKBa=0##HG7H3A>fMCm
zD1IEsj;KytG6CP4CGQzLQ$)qNvhQ&;etexSZa+se0eQ;nw#>9Igi`sj6!y1#*q>Ax
z=ybvuo`gTVnZM;Np%@~hTYQQS!+Ysz9p&qRBHMY3npVNI_%r&MSA!1?BQ6S-a;^uS
z$~kVU!d~W}V*h#GX<k%VKIpo`%?Kz7(>E&$zcNQ`d&Nt7c=2+Sou)#KAxJ4oCR!-{
zW`?|s=?od-Mdl{Cq6bQbFjynR$#Hm^IkS1Hsg9oyCzcIaFJCr*>zjXR#E#7}U)#3q
zSUJFl<70aTqgf0fsr`mH7kz>GcVHv0$m)MSk#{QHcUB*`A*rbZmYGZG*|EV9{7633
z_jUA-9{7}NZ|fFgK~?V^#SzW|IM2<xZC#)q)D+(wWDjCRtJ_=5Y@G!0%-);2<EuWQ
z<)Zzjb00}~`e^6=5D-GE%IS#%iMn9-KKadlBX%r4boRdIxDd+DXBEY(=)%w5^PfYn
zbKt;%)@K(>g)w!B^-0Qe23(|1IP6&F#M3glj9bYfxa~%0*&{aw#BeQ+avkSJlMmgp
zXW~T>f1;ic2Lrau?x9>8<H1xh>(G@uVmNaA{85QwI=Ch63#|&}#W2CVSaRE1jF7!7
zqUuG5?rj%lgw*-*K{lt`jI;z+zAG^=R-{94k==KWp8^<pt6B4Cq$K*W)}+~eS=GM-
z$8-V?31QPng#INyX`I#+$<8XGLC5o1`>BJ%Xjr!3vY}K4U3S$u`bE=Vntz8K>nRb;
z=qTH^DM${FI8Dag@uq>=t<XlnG*P5qi`7;2T!)*JXy+)7G<a_CG~>UwVp#e4l15mC
z0{&|0y=}IY28FIx|8}ku$FY(i+vl$p(ckbOr;Gy)4qP~Y{#AqoPLYG>n<kZTivl%>
z=0$_;n@X!9|4HJAcJQ?#RTZ3&*B;}Ir@_5@qP~2qxzaB_S#Hit6;EaNAKm?u272?8
z{QetcQSb`oM?i@hx+VMce-xs_*WSEPdscZ||GDKCjawame<SU3U(JIz-g?^KTFt{3
z6vvb;-8InTRMm3P7#%VzZ);kQD4;X@&!72~n)uK5((bbt7?Amnz0-U|5vd80a@M>Q
zTy8d^DA9D`18>vF{$EO1u=M#tmK_zHZWuu2f-ba*ar@E!DkEifhmq)cZJb1fgwi2B
zNZdUUcZ*#WdC$~|zmC$u-F+hK>qhh;#E3c9Be*&@i+^mqE)C0%9IHqn8A8E+&W8bF
zWQ<68zVBcR4L6*g-Eq&z2$-F%g4_AkksM(E+O?X76im9t9kCwLQx<Q%no-AJX3jfp
zn`y|l=0WwLPsZTn)E(aWQUiILGYWp@(U517E;wwqsvFUh3C?FU(WhM~-{=qxJ13GW
z4&E^X@d|DeM^3HPoT#Hc^<D?>t#eRm|GNR^`{i%B`D!7@=$S{n@!F{4P;&IOJV5B~
z11HC`wJ@9Id(gs93RalOe0*2};O1M!taze@EeWkvC;n-ohvi)seFJkaV4s$my`Y68
z_B?|0K^=#mZ+bkCWeyHMXhUf#TF9NE8?F<jhFM%St+Id3!8{}?%sEvPd*2N$tdUc}
z`(V)+N4J0z2OoPz_iErf>(tZD1&XMDL`h-A!2%-RC9|>3s-tR!NcyWxc^u?V&G6lA
z0koq`VH_u;Xo+j-YguWGqdsAKZesyANzb{@wWy&<JpW6-(Y2VJdO!J+ss+5tO`YA6
ztcvT6)H3`OMevz#pL)-4b9hvn)W3C`3hwV5J~9{2kI7^6x8FWC2gTH$a0?b?Trj<u
zSIFeTPhRQo685h0V)^t@_hLm<s!e}4^nrvwV#2rmWH*O7LzQV69|dGFX=kXWFEd9s
zm)Q8`0<cUv8OiLB$Ig}u<=^H0G6QNS`t(-$F8Z|3edL!6ezvhVv{7)1Y5vC{Wu=|~
zW&9oEa$gD`C0<^TjvHkr^-TNNt!#kfyQpt6!X@zDQg^F4`5W_;a+9~W;RYCx&eRW$
zT8lf6x@}U-8fLn1^Gh}PnE`uAkxf{!D3(%+TgCH+m@i|Ou7wtvLae-ZjS80tHk$>D
z`jCd0T%S5dOlM4>i3seKi4;QnJ^uBAo<q!>k82nwOibX!xI*vXb^%n#KJ}wB^E0z4
zbdQr`v@yW_YYm=Xc+scD)087_gz2%}<~G}h^&sCv;xT=}gLesU-rl9J%<Wl+w?t6a
zL$XpD)pwW+b*Gp1RDb%x^h+g+HAEXhS5xh&dMi#O&3}foqGL>-iXo4xuZF-+ax3Ke
z%#K5aLo7zt6HF@C<~-{yhH&7|uAS@^Y#2~EcxzO7iuvdTSAa{g0sOH1EBus6!s|I7
z=GdiXm}}|1CU4{opm}rqi+yvf_)+D4w6E$cv!uTL-SsQ_ppar>6ts^O%L-41$6C)Z
zQ&VD9ve{RC++pXC-@jO}BCx}cHDZCeUuvvuI9LxP@NL<6CJP2O-`N}8y~GswXvA;3
zs0)>k!u18uv7jZzzO8uUKW3?C`(k&HF5I}7cxU4&7W@`K1pofQg4O%~n+PZA!oI((
zXTKz};BL5dIL3m6#?;uIj`0lW7yMOtr-cP0*QR7n=Ch$*m717?Gy|?o<-~@mu%fnA
zmt{4b1EV*tNM3qE2iw7Jp0S&(_^VN@tKtnOK3EzgOIXsO=je93Ol=bG`J<IIevuoi
zV{>Xm`e|_N+|D--21w`<cl~qLzBRZ-|28c<m<Ec2ybnBA`>pG?_TRRP4+970xt0`Z
z;Hk4yDDoCNjyHHX-3k;y=@%(#d8s<kvfy03l*@t2mI)nY9zy6gH*$4xS{oMkCprjs
zapILcTh6a{gt2W-Zaj6bHq=W#$g)x4Mo;e4jKEnDoK9ws+4+_V+?VrXPG0B1+V+{v
z>4#VOXk@Gnj#Th}vW-8H#*4}QtSu39Ytdz@xiWH?0vQK_B1R|qux{?!I`0P(NDr&^
zOp2gDl0uWvN}m9xT5kID-#IDVo_+3%h&~1I@pkso^Fo-zy}PL7qzuacNRj_HuLY9&
zryrfpT$K*)mnGZ@a+tA+YM0Te1@Gg=gA4mbkmGQ`#ijOjSRWr~l+vIDSHjM`Z8Q|a
zrFPlUxAKbkBbLAEdzTg*b`Euu$Xkoay!!7-eU#8ZkZdN%MgjWF)I<j%f&Q(1;lCP{
zG1~EH{LdW};8O{5TAYx?gkudMSthFZS8B!TO%ny04f`IL)k<TTv!=f#sv*VA>9n6O
z6?ocKws#cDBE`Ah$ihh-BTKc?MhR^=-bf#GWXfYy=G9Fj(;E2M|6ECwjSi6dl)V~G
zDIlfV=MDQ!EtFi>T5PkK2BO((wC<-V;tqA<OAkTCIlY(%B5UZ78f+vS)ue>~4!b|E
z{iKchq3d_M{HBB6n#O0NBo$oqF7B()D!)bscfP2aW5DO)jc0-_RFP9GGNSk!4U1WS
zZ(c*z1MUB^|BOVaA^mRKVX=#J^q8Xgv<2!zxLf(v##%Dc>UpD_*cfQ(ab;#@+yEx~
z=Y?PWQAg>a6E{p<8EDMC9Cahy2qs(2xMC$WQTcI1PU8gz*5u4LxN92&YFp+lDr%wg
z!8x-|KL+-F?%Lb<!vqF7c}G%tD0nAlo4{u>11Wt&TK^uJ!4cO9=eMsYnCm(;{`EE;
z4?j-c?d3s$n7Y^L2M$y$^%vSW*GWUKjFZ`S!&m*hpYg2WJu1FxzZ~a(R|mNl+YR?y
zn8U`Bir04KRP5hjEYnR}ttT5^<oIb0uR1E<j73vXx}LL%>zF1QTxA>E6kq`?H5w<<
zC8)S*AvwC?1Q{hW&wo4IX92}G{`p??rr<zg4wr|s3OabcY`L<UU-FO1-*FDoLb3Y9
z6)j^$jOy$=+qTIP-W4`Q4DHoK_jdVU%agLW;Pk$T#l{j)g(`bTSOXd6Y7PR;;^=+4
z@|PFY5+?T8T;R$kqk@FXqtGm23~l*rY&^Hh!Qj4y8M)PcBJcgLP;L#z%Bt#V<y!!c
zi)WEwtO`CP*{e1%NEk0Wa$wrg0?KU?3Y^E4Q0cbyuO;5UOwR<e`^uO({0{&C|Nj)1
zc{o&mABH88eI3i#4P(tZW9;(~m6Re<BwI*DD2bHHQW9k;TJTfZQ)m@Ar;y50q|hRg
zwIr2Fly}~LKi4_e^*!hMeDC{tRu-mbHo2>k7la#)&9uh|9!ly7!^5^XuXvB*bW)jQ
z@Uu-_5}y+Eua?9UVOwlIQ=s!TMS--KFE@VJ-^$JnwDR&f2bhdp@0_?QM`n37O07~K
zWWU+f8#kg3G*VlWoaUrSo{>{|dqT$8iz=Teoep3lWUUOHJ4TAc_Q-wA6_e~o8HJAD
zj@V$*NmyK0OM>L~Y%k7{`O20j>isl}t+A=9H_L}#jBKC;CW}4#%9b+E33&b73TY$x
ziF{^4<bRipE8^aKWz!3;^1E?cf$}%=tNi_?q{x7N>-@p5Y*uJG*Le#|Jl<yfGc}Kw
zT>Ec^b^QDkyJI-uOLB|_oVorRoO!`bdY!Bq-1caa?Rl?L_ickYP`N0|*OQB^`8hSR
zwCoc*Sn&8NX907tgIdM;+~)~it{h&mfN^%Z_l=k|FEivWdv%FB?l%$hYx(a?;Ze4#
z@!px$H7wYM{XML%I78I8wao?9ePo~glTEP_VL?Z>Nytg>8}XQ^`C=LSf!)G)e@cG0
zDfpAN2M$<H5tAYV-_LFsU=v;5V-?*@bZ5L1INdQpyqWy4&h5fmw&V~0OE+woc-yWu
zT{J&J*!|O5D%0D`-hER!gR7DOcb~xLZ8wI9SFRm5FZjM>NAK$J3RGrbx-!_`YiNL2
zy>rC(AES%CUUG*~?HLoOM?U*^_V-&NKb@h)F79B<e6LgP5j8<}XWDVs552^Wm}&3q
zuqW&dhC2K6(u~m{w={Eh=SyPC0nf!@wM}dl;T0<<MT}um8Trcha2FwFpT$3VfMib&
zrwx>48A0=<|IrDd=LC;VDCMDBEn7C??!mkAM&POluere8Ms$Vo%zcljVV6YJPAwE0
zV$^6yUqk+5V&Q!5*5uu#?5uEopY2RT{HN;?b^B#AaX7+BuE^><+l_kC<aU|?NJE-c
zKxQLxSD+v^Qe_{T7E<1wcv~NvVwqd7KYTzuit=*aqmfD^+Dd<y7+!`R3))*#50a>{
z+~yY+P(W-U7wt5YTZZtG&FND~4Md4u5#s>0l*q5ze6Yh+4{oyOzDoV9CmMDAJz^xQ
z2!~wBn(G<55L?)x)%dxNSZ}hikuiUR*x<Q9-g&75#-{I7npYj+D6nyc)pLjVCv_#h
zQAr2p!_^0Dn017n@ZLLFH|mI|-25-9c4?!q!e@DTL>(b!pfT85KoCXz*;lp_T9Ejg
zz1Nz*o(R2Ep~3y~0TFY>zwfHF7MxUUST8u|QF^}SiOknVqHJ%qQ(UAbZddAVkzq9u
zH8QR_%36<zz0tytu65C&8ghC2md6A!x%a)BPU2(YN|!d5CW{Wr@*sWdmn2bk?(lq!
zU@Jk{xjyf4fd)!`cQtrUJs^@-uFts8+)hX}9njk^q=CCbezvbn8j0QAUkBj*oLG65
zts{R>9rr5jo)=$fBKjYCI<BAXB<i#4d2**|s9UMP6=MI0&^#ZalT`PDc<%W_^;HNB
zkDt*?eWV`~&y95zT1sCMdp}H$-5*v1e{xz*w9-?e&-K8LU5|Q*$pVWGvp_ZE4>@Z%
z`?V3j1Z0z)sILhjO6E4BF;yIAr)F7v>>wuW#rxXJ-x8ad!I4>Es%T60)Tn&*oY-6T
z)|@B)J>hjIQ+Um96^M^9{yp>SBF4U-%ip?gkkIbh-Qbv{g5I8}kC8InM48i%m(Kh{
z#GE4SY8*ucp_Jkki{@VvEi;F2D1Q4$yb!W3t#nbw)q(2{5mLRx;?$l*MbS~>&K!S1
z?ja>y%Wit%67-rFUf%0$7Bo(L+vKpJq*@W{YA-!_{p&69Bd77*qJN)=aGU9~Z4(Oc
zt>zy3_v}4k{$FEl>$@++q-_p2w~hh?uku>qz#w5f)0*>c$uz+qdKr$p<*_M=!N+4U
zL^v#q?FeuEM)c{(lvduOVzHCwQf2L7f*j(@sd(^%U{BhZuMnalV$oFo_qC(M&5xl}
zy{Vr>#EWQ2vu$$F>F85EdTpGLmrcHC>^V!E>fd{~_Mt3NZSB2cT|N_@O3TM;_~(gq
zdx5(YEm?e;%5QhJnIdAAUXu^zT_Do=(~nhW%i!GHtxs2MrU{D^Tl%MU7Ll9(o);JA
zmx0ZwjbE4GcY>+y61kCkG3orUVWdAv8WxgqTb~Qg5QY~QOVLGm$*SH9%|8UC!Lyv!
zwch?0Vd8qh&BTq5Oy@n}7j%(=RifpLqPkh)P=ks2_-lT$DsHea-Hd{|sT;2C`{#*S
zhyD+4WkO`w+vY*#4^p`AWWG5$VS!k+M%;2)izq26`t2F(f)v1O*r6A>h*US|DcqSa
zPSzYfR2&^7g<UrcHQikolLqe+PS&JIl3$yTq^Pcxg7rDec;8@Nvf^6l{uSjE@|tYg
zXG>ctjt6Bgj^E}Z{e$lruI7~`{|am#s@p7ul)Q7%+$#l0DaM&l%70XHdR$Zg&RHoW
zjy$w6R1zj9qK>&pA66tYy!*2A7o-r^ZfR1bDn_14Ik?fqU4{JM)>n8qkAkV{k5l9Q
z;^ehN-qOtyYUBzf3~o3ejh!F7Y!5w^Bz<ny%Gu7+$ihaZ#foAXm^F(&r;Sm_pws+Y
zj|kGq%WCw)Li%zj@;_P`Y$;2Yss3DY#!-u`;%>O0tsxKXqS(Z!7Ao1ftZ2uf8XZz{
z!PH*4P!acMyE>nyE0VPDstJ0_mywZ5VY|$|Rq(GzM}NDc3c2D_flA$s0Vy@Bf6HWr
z8crX3biaIDmAtq8n&~QEBQlt|J683)ItpHtYRnYVNNMxSwCbnEBv-!P?2lkgbZH#D
zee#e7X_is_Qqhn>1`e`2p5E6%@Oo*Trk$FkeBup3j|3)Je!L~uv_v0wLQ+m03)Uvz
zd?+rdy<tj9oKJtf|BMmv(q`B9U|rJXowY|;C5yZra;15m#(@1do(2)$Wn^@X&#<+p
z8JQ%*I-oymii2Wo+ZMI~8S&$Zr151lGB(auSb3=hzS=CLX~!Cpf4()fQ1+OSeGbFT
zpDnE+xN%fCm0?8oR0J%otYwkMhJ{>*Edl1=W$RL#j7W(DxBa@iP03YZaevTe%gGyG
zzV1^oCbJgmGn8`}WbAlE{&UOaNYm?P9)K|^5R<U)qpdOdW9EwM(*5?><0iVdLfM$S
zt1#w!PsV^;miJfWe1roS`=&nE*Bg=2lhmYKhBo<b+JU!9X$2~U<I<d{M&!tguGO`A
zH1bu-Gh<fV3X~V07|pgZBwzO$3Rve;$*NXzawu&Dgj!1OL<H)SE!r2}ZjKfurOBhW
zxV%?jtLw>XkHvcAX@A}E4eZ~<w2D!9<WC2%e5QlxVcMkcnL%C2V}tDOO6lRG?GCUb
z%bpypr<3KCsW0TdE&}tT?(L-y?6GC`d|nf`I$28JQ2eb-2zSIZj?D_%Bac0~!pK#X
z?3+F0|6+#(MkbTn`(2k~P0HgbB3zN&z1XulESQ2T|0s2(7wzz+DOs}WkSrNmo+3Ga
zKnAv{(;ufMZ6Rr4t90j$B)P!#$9hSxEPPM94EsCUB7Fab!8m16vaqP`$Dv|5?7fjA
zk1F8aJ@pV<D?ZX~wNhXJhj%8O4|yM{0lB8#8@38_k@Z(Ed+pVt;%~kGXJuP91|+Lm
z!>Qj1y^gWRnUYkv@5?r-b+N%|`{D<*?03XlLG^;LK{-@iJtcoQ${KAiloH%VAG2}0
z#n!b@4(cuK@h8fya3+1>QkdX4`&&-!mx--%*ix|f7tfR>NKf_ZCDT9H-9>zJf7RrW
z<~#So(bf`C5pxM->^wVg<kUf)AF>$H6ed0uSRnq}qh#fRMW~4@$+`N9^Sv@_4&3Fp
zK!5Moz`=4JEF|#w*mcO_kaPC$+Xu~&eTP;q7|I7Uf6iF^P8QrkCZE;j%#iqQ`x*Ud
zeh7GNjq>A>g9TTFSMU)t(0`Of{IV5-@B_)eCJu72ophd)6*B{IpEa!)B7)=BFHH^<
z$YFP5`RLbT7Kp@ZgFcoRHfi28h>@a#wb<-?ivtVQksFIz^u=*)?k%<B5*44zDoZjy
zo8m;P`R92B2~?fZRXV&{9++W#_r72X5k;<L)x45;|2yd&pP&M$16JW{Tuq^#DxOSy
zl0>by+r@iB3Ru#drJF5oicr4F?21k)JS=&T_w<D#cGmi}#Pu-|v8Q%JaV-Tg^9~Ek
zUn`;g)6rMn<xIG(R1(W9lE$pahnOWll_6Jk*)cDXi5*q)cDy+<xG?I==+9Kap7E>A
zmD`y}5RBJab4nJ|4m<CTnyA8JC9_t@g9%saxJbw;IrJj%?6P;NC?0&ugY`^!&vi2-
zbE#k+P|!J*riN8BYnQ%oV`7_J$EKTQ@^G6!9eZmz4N@_EBd&o=L_YSN+t#Fj)o0sm
z1^>~o?=|tl@hB5K_uCJTjw&M8y>jcVd+NB}MQ58|W#aLqarh-kWeD@%aXA^S0j~7b
z4>E_CFs{p{tfi^oMM_?(j4>U5w@cSt*D}RGe)pPNgbJEs@?%m*=`h^2BBJGhDPm3;
z+)~-9ije3)uhwi$oI5F#@bRrF08v1$zgC6TyxR3w6+XNnT;Zl#5I^hxtk;Q!#E4ye
zRu|R4$E;84eyoLwa<fFE$1F_Ujh6dkMnlR8%OyIiv{6Bk@z8ZK!=d=d@mHNR_-ZV9
zlUb#W4emDbrNd@$^Lewhdz(78zxF%g@J|~J^i{p|M00#RV1_4C>Ui=d^T6$8I%se@
zaE;KhfFO5CSVXu6o@CW$wOHz);NGr2^&Shzx8=*le$?Q2e#iS+4IMaF`~EIVwggQh
z)b^|+9cGztKjcqnW3<aA(ACrmD$}9^S$TArDrW8ENzq1T!27n54^~*KIYQafPlsdU
z1@E(qv{Cz%J6b%&8aYzNl?Meh;q5IjIqj~6`<+J5;x%kAC@0|Qt)hv&Tqm!M9M=Sw
z`_@lOZrPy8;@3ZYWlgAP>`MvAr=u>2U;8nGjnzUd*Ni2a*!I-w_PPrim@AK{aJ|IF
z-x=@Ym9Oa7H!8KlHAx*qr}c^(=Gb5zZB;ctO^1J-@w1cuH1I{~{CTeol$+en3}?`x
zWoP2Q&Rh-gJws+ara<r>cXh#L4Mg_P&b5iEqQ^Dw?E^a?OZwYVZF>#S=+u<b9%VQk
z+Lt!E9Jp|xTH5-iI&5xQC^3o@VWqz1`Ev_E$n^ZkcNuk9)4#5h$&d%vcAs??T0nJg
zrWQ4l1}EX7>D`y)@bl=*<0Znt<bw0Ngl08RwR>mM`eksbOZSssHycshTJLA1)F4iY
z+{EQ5jq8E~GjT`Q;L7{`Kq5dD%^TD$Ylk>_Xg4J!gvQ2kk9DO^H7a1}1hed}OM-Sw
z>6mi84O(B8tbEC%g3lSXe`d=iP!K&RwtuY+Oz(bJu&q@>=B{WF_m|=r2>A1Y)@KdL
zf0}ML_9<dpO30{!o;b4UYwSyWtr2_a>9Q7k4o4R6tSh@JhUiyJ|INczm>YR#-@wT=
zXRnG+Nx6x^&plivaJv;MuFphy%2Tn@d{#6-Sqw#=E0WtLEHP2E{MZCt4#uP6#zlf+
zFx}}px+~NYT?0X9JRD`ABKt>OLRt*{w%-aCPg}sl@u8hbf(%aSH*Au%62n57$Gq`A
z3q*A?rklH^;ZRi)8*)Gl`v$sxCjT`@L&|?K3O3SMb1(fpSC<%WUiwxXbIcs`<$Uu}
z1O;zCENRxT5r=ak@2Y4ibI`mi6L)w}@G&UVV@HEHu&$tE@QNAQH%o3MmQWCsQnRwu
zMFK`UHj7G`o8kS#Kl4RxQcxEdKQs4J0^A?=#&7Fn;plC4LTRZKV%u`X>MJEN=d$I3
zW*7_UamItr=cS-ePaKJgl7c|k60RCi7D9!H%d|o%sI6OkVsI@5D<-m*d)_vMh8O>l
zJM~hK+gc&;##9;x&UbTS{Y|khrT5n5&r%S^<?oveWiat)%sNua6piiu_Nj&x<d0u2
z_qUKmmYhykaT}Af*URYg$0-m|owZuxE{CY(`p~3Q4kvB)M(}^9Amh!exV49=*fjJ#
zKf#3w|LBku$p~rKgR<JVULJZ(ih+tU6a4mvR?jVxfxDe`f5uWpoYYxfKJ<fu?8Hfn
zgd!Of{@pR76sUyZZ5p}0FBnMQsBkC5OBNLeKi_oiR0eAc-Pxp$0qrIJk^wY1FglZz
z^@~+7VlrjDsFH!>MC4V8zj8RdWY@uCJ5(X(wew<h83PW>5<YN`QNdny<n1U!4IUv!
zSdP^U7_7gx=;Dw(3?t@}!9&B`k9a5DW(ICm>S$1>6maoudL65WhJcxQjm}{P9!>8t
zIm)jDeTJ=!@>O;0uKpb`BFV&7(F(1zM#{(|t$$7&*1&OxRr!1z?-V-u9QkOhf*VFh
z3UoKn@sY1Rp!Pfyt>uo}<hoRFVMDtEKZje_&YDDf|6t<s!;VtBC{?sKu;uMPYQl59
z-gdgTDc+ytc3mW|h7c{+H|7_$VAb>O8UIUDNGx6R``!aJbnyIV^=-K}WMeySS9`H=
zeDf89++Z49Cm$4=^k_r(ZQpe0R~G(VS2&a;ppM)yG0{R79mEta&!uOY!Q;g6Nmi*k
zyfVYO2e0YC>w5g$dbT;N8^!cZY&6jRP&c}3LI=`6G#`)6n4{!yVOif34Tx_|vcA7a
z7c2WO3husPfynWUBQdM!@OoY1m-AHzKgssmuX`<#e@6aLz#TfG3aw7t+|mJ8sOcz$
zWrdoFt6LXKX`;%mTd&$#2j*f<rWQY~Ft#&QaL!8;e^Pz*E$?fCHlp!2?V2@ywNlG$
z(ll{5Lo+FZTN^`CWk+qc*dQ!GAkCmy6aCGPMSD~^9z0c)c4^KAHk#QVZxm^wW#=1%
z;~Wokw_nc=PGMtOY}Lf7R84H$DENBKB04r4E3EQf1Po=24G4Q^f}9LcyxFb}g{9I0
zcZ>nwBZ`+E@oVBr;lsu6Q)!UZXI|jh1mv9Cwdv&*I{F<yw5lyv14UwV=yUl0z3}Cg
zt_~eL=&yEE{82$fQAo(XgFtkFYdiCz1|mF1udR(##=*QT-3y%gce{tT?*COsYYoq0
zE`CKU*pDll>;cpzHSTn{sDrU=u*s{D3OioOq#18uu<GfPGZ$!R3-K*9ER#jhdipna
zHX!!=kEMOT8g{u--8rod1wF?b4#)zvTEw~;1vR)2Uw_#oNP$M!+|;s{Z1f)bpq1;X
ziWiKMUrlL}h`Qz-RvgO4M&So{`p>E0NU)JJYlQ^N1)?X;&)YzH<+2L__mpunH!5h*
zL>zCvf1Hp@v_Ybsu$9|d&b{CdXgk5-HjnT=v46Za$d$h0B>z<bt~`x$nX5&y%{gQ5
zM1nO=s%$<|SR{|4z|zcP4k8F(uIX95V1=S7X-7sl73<Nn_FbkhKD%!?wK2vD1y%Y#
zGF;>^sVs9QTvr$`XwMxe-z{<J!-E^YSIc68vWelnR2clf-c@bm@E?ZBiY#v#3{Gr!
zGo}e+{ht3S|BYEduhWKk|F|@SCDg2>_X)$?$$wRRkOdlJQw%EGDKPTv?|d^Sj6X7;
zx9=D+hl+p8rcb&Q9Lp%WE>tCgkVDb4h9TxyeADEf-eoB?7T5Vsq>JL`(&2r~DKmrz
z2HEhKNMY5Iyo8&pIeyvpV*J^DGmQTZXMTAtiAKZYmof*$5U41=!DWdV7+rr2JkLvF
zOSfIP?s0L%aeuq8B$ovV5hwE-;gUGx)?Y9H378J#Dq8BZVAGU#G{{>L%s7gji-069
zo!{7H@x&DF=hx?s`A9<f*@L0=A35)(UAJ=!F-5&#ja6;5Bto@Qefm43&~46b{aVBn
zI|cf=g04t{`xIpt^(h4cc4q=K?lG~!WbduiVM%B{R)1stinBjj=I74rWWwj$rsh``
zQjjiO8G7ow3?x#U)@RX}uxT(!;l3gT6K->{&76KTS#gLs{egio*5ZpjDimB&rMkWK
zr=rbic2a=DVf?0=XjfC9s7`(7a7!KnLalixq8XqXe2MCGlZO7~wCn;oMLan5<;N9g
z24<~`+pY@AfG4YK>w{BDcz8#>Z%&_qMHX7J*)L`AN{&zBKS32#XPoS}mSbRrOn9Sv
zjV%0}f|4qGR51O9xS}D#05Q~>SIOynU#tpu@2OD5(>~v*{hYZWb#J)kWh%z2N{8i>
z)lhn>;LBop1`g}_JMO>DsibyK`V)g_cr<n;?mUBY&h*fu<*ya+>EuHS!$}>FPP_Vu
zY+=CFUHrdZ5hd7<u2Oa~)<Er9)89Io4D?+yLY<2;KAwn=jgzC}pVki5t33>?bDpv6
zS+4@_`l%xBe{_89-?qhM854JF^m1MPsi0?SPx|?{nn+WZZM4W@qI0)b@zN?)OirGi
zIa;lS{F%T`UIA15TBzxY+NOqmYL|<S?$?IA`A@IY8K#&XbIod%qal1_tKTm@9dwNQ
zZHd!n!8Y@s^Y?Zd#5?Ewr=D<lo+4bZ@SFvosgkJlL+YpxE`Q{_S{J-!%=WHiGbA+x
zmCb2s;IhkuV~fgkvETIQ9h###jQqAg@O`R*%=gE9%m;NLr1XiBMzMfIypP2_A39S0
zC9k>lMHdvBvxxM#1$IWhar!z;2XUe2oJfZ*M4X=%Sdx}#wd(Yk-mHlTiySZBgSzN8
zWJUAlSb?)JPoCf9<a~*ntxbP)5P7q<lpbP@d7-mU#uhYDCqy@vS)~K3E7ktm#x^Jo
ztIU|!(?WY7fB2DLZAA0sNnD<^fkTBr$tD{ud>#ythPM{BI1fzh%3;GR;Jo@5V=WX<
zHOtTpG-0}X_0vfTu;tli-yi|b^IAn_j+`FzUmPFf_XfcB)6!18W{#&`$JCIC>d^hQ
zKaNNQ;^ogRgl^LWck%`!Y0m$SwHP^3SOQL;KE6wEg41jEgcQFkQ$-;8wj#0~P!$!8
zO4>w+WqJA#*qj{g;pGzD2q?7PWWTG?fTj1Wxb*`?WF$O3zVSX#6CWEGF|Uror7n+;
zXmN6iTCWaY1;;x9JRZGf>NvTn%fYWf7OCN0diT-*<KGzpbvtP&{h>O&;)FETUbr67
z6a?JNnSFgTR}C{~ggy8&q;S1slkN!?V11ca)ud4sKX3aqO23rAmx&`rp&SoB?Yj8P
z?~4kIPPYoZ*(i>sH~st%rE&!0+v6&ysDkqMN}fU#F<cAY)3IBSjTy4Fxa_hL)CLX&
zFsLFZdTz3%pW_9+Q@2XI6cypyxtUKcS_tOPW6N*OTH}kgyG?DmJgyzn`g6-n5W*|m
zRC9M)<3rmyp%`Z>lDHzDgl!anyrgo*=Qmc^F>|J~NPu&Hiv<(2TKF+b)wg-=WQCa{
zclE0VWYC|UCVfAFA3g^cS-aO;V$rS1_@kZD*ryVtB*vKsIR@Kn=vzX6S6{@LcNARY
zKVK2jzz=pc={Z?w0q-2~bv(Qj_|T}&VhjY}FPlGSENg)c4%;05TPcM*GoDS)o(tgi
z@T>T38RjUw@J5ZhND@zeKV9}FPY{0fw{G+co1?|4&icH9BqxW|_zY(X;lS9-yy-ME
z#5oEEG*n7}z0OUKw^A6&@2Zb|6gPvpgJbh84+-dyc1ofXBG6h><U4zgh4JFi*@tox
z5R!iO#8zDlJ=GdHyXh==PxPwleHVwkEYINmAu)*RH6|qAF~w)T#eTL!;%IbSr{#1*
z9DFVw@$qX-Aziey)o)xJZ)t)v)0q;W{ylWBV2p`~HCw*?<B@=;botEqQAzOVmyH>v
zFtKNSrfdOI0t>g9r%xwH!SvaD+c5(syqgo^`(q^_oxe`c=L`kwG}t%h-Y{^jZ|COS
z-4bBb3Rw-_m4>2o!|UmE23YQS^Rjl5xYsZCr0k0f+;V<(_pM?eKx;_ocB3SoPyJ)B
zV#%RFK<1@^00Y-mAKx+BECmJsbGlYpRJ?t-ZtUO-6Z}3({!ZYg;7*)T>L|AYg8B^k
zy^BmBt#ISjRZjmp+^-rIpR9=Ju@$pXhfPo$T$Xh0v@~u>BpmspsElV9w=^9IG(jg9
zpKEfI45SL>uN>N@g0}(NTO8d@aJANvr5+}WTf@G?e#=$SwXIs9WW5PK1k5b<i<N_L
z*rW%Kt{QstOm7_CWCBM4)34voQSp@J`)x0khTAWWEq@Yf0^)hfS>HB!?5ZET5-6sQ
z`;EGrV>3*^)8?}7o0uXVrhQOR5Y#|h1tT@R$po>Yg@TuYIDJ{Us@Z=j9WBT92+r~`
zP->w4oxe>PD)+kUVtF;u91&lAp5vFwQ9I?b0u^lY*i$aX;h&g`rVgW#fvmB-BvBt#
z{0{&C|Nj)1cR1DW8^_IK@4dpYj_sUdug{wXr6`fUEh;0@kg_V3kVs3iqEMkB36XS2
zB1$DxL|Mtmmd)?{{(SE1xjxVHT-WD*zwVd&{_UMc;}nFywbXI7G{WeB-7N;0jF$h>
zl{~&`VwZ}0lYN~L_-uH7jQk-(Ehn%3*dr}WXP4br@ixYl6}$M8PgL+9=g8|Xe%jcd
zd9QUw$^_LPqhAaLs)9G`#n;RHI=Cvd<+6I438oWsg8k@f=sY5Xi*Y(=?Go1RerO7M
zNMO$QK{ad}9C=&QrGxg8Gsl`@&9KLP*0%MgI)rx)5~V!4c$$-U>`$OM1dp9*Y@%zR
zXL|7P-DMqITrw!xyWav8s}!W^uQcF(Grpd+LI)(0$MNqjmiSDzPC7!PK>wkAPn)d{
zO4QmteOFsyU_r3mDxQKs*62M7SGD0#;HcfEX^q2?yQ0b)D5(C@!T#~S7VPr&k-OLk
z{CjydB6)}c>wu?U72-7EQ=72h{f@xx#EnIk%(`Rn_AhHzQ?Phw!S#S8Akx=n+xL!w
zjvHKxYrd*OV(v>=W;Ado?LW7Y3lw<Nz3&OwtcESe=)uEPz!&v235FU4q8kb_MoLxC
zr*S%G|6gFPbd$>HJq<7{LU{S*$Z!p82rS~Z!GO;1>}6gJm>(?P^!%(6c*P=mWyEc8
zzWyu8VY@n>#m(Ly>Qg|>uI9fRg>B%nhg;^+H8q?~l^kc8ltl~o4*o;SKs9-0>)LWv
z{LyGwAsI>I>NC?*y+48ey9ai;eOE!vsp-?)#S(~V^73{l0k(bel$RJIBhF=i(B}{_
z@XqEBZafb>U7yHvhMf%l7fJqx=S7g9w^sS8J@BCVvgSG|WjJb_x$q}f2sR0Ww)eS!
z?K_wKpX(_hsbcfD^DX>Hj2OGQc%Hxov~1avvI;7py2{~Eyx`bqdAfYu8anFLB^v$m
zP)YhQIQ4`ZjK%)T<vXll)pc1Se}f$Mq($*nY~Vs|wDh5`l~&k#dieeHTNxa-x8Rg_
zAYo(H?$RVRD{$*|WE$_0MrM+f;?Db=$hMq)Xc23Pw22dj6CzUhQ{0hf<jjek7mHM?
zM=kK_KB<zwM*{W!f1K6Va)KvDYHW6!1s)7|o%;P*95osN*~vkikafTQ{8XhmA_U*L
zAMX@{mP?mB$4^dh491Q%=$K=6M9agCTMR6;bj5$cBxG5Sl&`;KhMWf*?v6W(LdMmF
zDrCupBK*F-R>%xWESp?IpNinKo?Y0CIya1NdAG7eo1!=|ZIWAG1a@~T;x`%bfOI^|
z{TYiX?n@svdi+)x54OH;zvjsc>r6w_D`!lQF8wn8Xs|HU-fW5$e#VF3j>N2LHWNH!
z6}{*QVQezk^S54602Ia4lryo$kYfxP<tYi{bt!!IJ`jYD*2{rONn@zbPkcNkC5#h7
zgTiMtg>j}zfz3772+uZH^$Ms8qj=%Amy&=8YEt-a{;)Q}!o?xQ?zO@wCHdV=WMRHf
zX_(y5W{B5w>QjNIgrQw0m~eqZ3=U%BzP_gnG2&26^Qsj_%A>x53K?;{JMs7rkE$Uk
z<5d;M)kV;|?}31XjRan=DR$#+qGOGi+pg0oBDnqH`<tMXl3+6kp|wQQA>@3qJWxp#
zcA@PxAKpo!YJP`Zk1ZXl9mT2p%SDm)J1%-bM+Sn+?i(sdbZq|?CFSoYhJLm~h7I>*
z(fv=^eW{6tmE2B_a$V*<*pkP)4doFeq!P0^mj;RTFZC{PN}!<m!~McG1qh^&yMiy!
zz_EPElV?H#ssRJj?n#PZdAx9DeE<zlN^i>_pOi$_Hm3l$VkNBhvS}#rrr`!haQFa^
zH2&>MIx?B3jEon~T=@rRSSNG$&JiOSSob9Hw&gPWX{SlOO9*qn_f&oN30X9~bvV!V
zR0SD=%TskXX?V9YI;F2(4*5bpkrS1wAbavun$^&7=tK5oBV7T)4SQW5w5s8sl+Ax_
z9CU>J+Wt53$ttk_aUHrks*X#Mo^fBd(Xm-oWNh~;CCsK=H`~k2%%>Y`2G_r&qqfmM
zH+5JEm)?9Xl2y<|c43K>s<9zbwnlH%tWrkq*m&9uMGM8h%m?Ia3}M~z=%-668Dgf!
z#{TNsFuQR1N}{h3Qn#~|vIeQ(durx0nvf0-3JLn0QZdE_xxl*nTU6mn=Z*LIp@ZpU
zyZ5>i#u#loOn1;ygU-Fcv9f4gT>W)h$F<o6M!XVr7Z;hlI8G}qB<bPgLHDrFwWbhl
zJk5LSjXIwCI35vo)x%BIMpEWGGgNp`G!KVsfUsLTxcZ<TE;S`Pe{V5Im2OY*OJ?2{
zF(frRR_j4uG-J<`ehci^=#;c9p`hi;Ba&*nE;!5iwQkH=!trn0i8^gfT-&M}5~Ht+
z=A(qJ52rPLkIURli_k<F|HM~zCSU0PIeo0)An-IkI6LyWCWf|=W;RM{gLa1DWid`5
zzb=_Wp-vM{W7TTSg__v6&0->C9}qg}Qai<5->f&{Ij2NHiHEtbM+FdeStsdfuqI}!
zQl<?3)Un4d>-ttM8w~X-c*sj>B4u6VSA|=u@IEx#yKHTPJdtO)atRb<haWxl_ca-`
z{b~L0_S@i2D{Ve?L<6x`UQO{2DdDgT?ML$o8`MPQj_%dfz{s_`p0&g(u$KKW?Pu06
zDE+tj=T>zbxBq@5wpA81l9Ro&7qc$8C;P9r8baM2vy>l5;gO8hwfAdnkiXZe`Q|}Y
zEJ*#A&;M2&7UA)88)R%i9NgN~?yZ7LSKIiKsG@k@@tgNY7x4F7p?l<RG8i{Hd^~;$
z;X(I8VoWB`%GRSlyHy!?rLy*ov-3lt=~JA=4j?i+)LGS03AFfL_0~FWW;m5ydny2o
zEs^zFGFE{zoPJ1BorJd=y^?>15pZubVKFY2hcn9tM=4<rC^h{$aIVD~eu29^276?&
zHY{#uMJOArX8c(X>RMy#Zx$90JsC6yACB4S%8I;%lj~h0t?*!`qmDO83g?zB&-o{^
zprTvS^j5nic8%ShJEtg#aEA}cGP*3N0?WWgLrWaH*Y@dloj7b0-xeeavmjbCxR8Fu
z0vmZfZ)aW?L;VG|-&>7XaQ4%Z?ZB`(q9_Ih>rRWJ`IGXH@^u#UIty8KZZd~!FxSlR
z1rdl`y6LK`$cpEcdu6-|%@CRp-Sgn7Fq#`nq~=>#(YsQ!`Gu?*+I_gh-%kkP@2?(H
zr>AU?Tz_bs_kt+`x9F*UC>KQOiH#KskJ%v_8`}~(V*+tXEZ@g+0kClIdE)t&12G*x
zpR4$rfFW?=sQnl}-n@127GL1R5@T#Hxz8Af8yqCxZsW&+gAaly)^j0Q?6}sIea0|&
z^1W(dm=AT`^5$m>x#2r=dNQ)t2rZp2Bt94L!GV5vTZbVp<a2aBDIYY#`L^aIzdL*w
z^&uyff98YB?ajwx{ux5bQpk|@f{&T+v_8ZNpfHjntSj0OsXsoueO=_kE1vVjyt@!`
zvNFnd$s6LE)6%kw4?lcM5>&k&2qSFheH`sM9Z&a2iH*(jBT`0g$-h_x+YNpy+;gL&
zqVs#HG4qEx?-)3?rb!gDk~~YS%QTG0M-MGs5yZXQUH7PL;&^o-^nUgO8a|!z`?Wh!
z2*o<5oFdmr;IF^A-Q;c>Iv$TEw|WS}t}k-s+8s#<-iS;0lcqt+|Ml()UJ;~|#|rX9
zq+xp~XfCmhif@e{mtNP2fL-1ooI6bhO7XT^CGS!3=3!L(jx<rUPL2mQSjoZ5q1q=q
zgbM2dVm0Z!7y{=v@9mtI$8>*AmB2PCn#}JX-gH(RSu*>Ve>bf{q1DMaSW`iiDYHFK
zV9sZM41Y=NSAs6dVaAq5#VY3mr4<#DSeI7QY3`?t*7(c+OzBi`_@xh2FH6C1aOz4>
zI2k85-}}AKmI}(r;uH=y8PpH%8=uKg!P2n*OS!#NT$;{joO>$^Qqt1NfO=JE^N1?6
zT&2QxM^wz{MtKx@y4kHPt0DPpWwG!VDpH-j!)^^IK=2MJmd{)RR<8s2wrSFk^Kbi&
zZE1?2rat{a3!&g|XxxZOA`Q2PDSy=ql;CUM;HOor3IBeXnjcbhykCk-nNL;5>G+G9
z4~MkC7Hr1#xR4I+>gu?FOJwXgYDM>!&_Q#wTlPV3LsYHn)7TNAf&>Mwy<FP55WVf2
zcARd6S4HlB=0a6bKm23bK~)d=D+eUb$QUDlc=(y~s2c8`>DWS_)dP<xmvaEqU;1xG
zlx2FT<Ic6k502^j=s5T0n6b7g#D#)?9I(^CLl>bhGMol@lBjn&ZHpPKUdYHsC{pmS
zqhyvOXMk_M-s{by&7pPb$*rm$3bqa;2;}e^fY;nEA+*{8`zGm$-!5z722pl<f4)A1
zwH2S|vRPq9u1ny$oEBn;cUl1xdT@AZ=xSkU4eD6eTbU>=MDl2F>gv<QA!@3S+5rO6
zSB?7ZYPGP-KK)bGB^?Agy311tfF&X`WUx~UJX|*`K8|R?<yXDk^>Sve&N}6C)N5g&
zF65gAlN+)7G_1JPZD4c0g|v7<3-wBI`_siVP<HBS)ci>sILt&pd@Q4dxcP}ab(5;-
zJ^szIw%i8E5j`vi&S|1(Rv~1dmJI4G|CZ`r8yNikp78E91wl@0|J2=9g8OqZKdTuV
zu>4Z3kLlKchTi^1zG4b+UFY>|*OUzovQKGg|5itXyJ2IniVP$Yx5~_S{Qum3@1iei
z*fAd@bs$0l@$ZYB4wTqHL6qv@`cxIGGS4R{T8V=DVJ6+`ER$c~GuD%%R8T#hpx<3A
zi0Itp07WJTeVjMXHM@{;;9Y!E;7cAjAMx@{p8);~6k3y^#+<j-`>#D6%L%p1^#MY6
zfRFd?X$a0LB0F>Qm9>&=I4g&QD5k%d&Ly0ve6E0BF+(fIvX=?xuc^<&+X*O?3pbp;
zDu-}u_4{kL&l71!<kz^7324oXEpc9uft+k|ik`*{@%*HGZo7{)KEBmD`7T2Woaqx`
z`omL1FO_2U;jtBtz2&$f&?W(`-j^!Xk(0#E*g)k|)0POo7Jo*<TpaaQQ(Uv3CWyGt
z;%Yw#OL#f4@o!>?;`H(IQJJC%BF8sRJUQM18T=+61AIlmWyPbzAu&m0249*a|1?Ly
zm`8J&i7;|*^@Y(pCyCsQf4*-G&9ShJw`h2aAX==*UJsY12+30|;rW-%aBajP#xs~7
zBNGxUuRQ+|a=te|PYjzP-9-b*KX?&gKV|ifYnHIO#Q!ke$rOEZ!mp&ld61GN)ZEcA
zM;KgHw0l}&0`J!}J>TuzD086v2>G=@{LV@*(I%Uqok8+cJHUm92GfyLzGcERO7aQM
zbz`jJ$(|8-K!UDWvQ8P3r>}qVT(>6~BRt^<&nh_*%$1Hg$RA*Z%HrAn{%|9Vy%D&0
zvy>B8tLjt!7O~-Yboa@@1w(kL%-567a)QwAuOAlYKry@CI=9n?@Gfg2J0IbMa+mR!
z?H4)Gvr39?&Ta_y)@-F`kxbtUE_CP=;{w;py}`Tjbdc;aXI{SI1WCB6Hl~CdmpA>q
z^F*GGz;V6PJLO4G_s+Rj63B}tIbu1qfQEFxIO(QaBy`I@Z4q?j2gAW!OJ_X|w8{Ct
zGJ*@!y`4NE_JT-uGi90mO@-T3pT!CXHx7pS?ck;hBlqx{AlX<dgxp^~>Kx{V0x2h1
z%vA*B@b?xS%sf}{Fplq<;Xz{K(j)0hqR^#wCnk3pAV1b-^1C`8#-oz=c6}E^_*;k5
z#WxMm-OMT28OD$N{4iHQ0)gVwECtR6NPoX8%XV4-j>ZP|JXK6Sd`TLXku*SQ(>jkE
zNkSk7)#SODew-W|vB#oXA4}hkwAM1`4e7z9?<3N(xXxoR!sf4!m*cw(;vS3OaJfmZ
z<D?u)O*}eWDEg4$)IBUxDT+$2)ki`{6i{}j^B*y<hYuF&Z950WaAul6y@*o@&e21O
z3cY%8jLnPn(v^S*r~L~jW?xn?$nS6d(Zj}ajsVG6Nem2?b}hP+artM%>l|KvxKORl
z=&aIsRWI{`NK!$-uNI3toAj}Ny}9rD1R2~<=gAWNql!BwUge6#`pEj|PEUdydPRsI
z)$7!uT$fZ4MK-`z+npCjxD{|h_rHk70u7wK;x$rn)&MV-#0(OKR)I}I^>hJQ6BU0h
zxH-)j;JVYN*^7Zn$bGBZ#7NSDw58{hwJ}tv>b-h@<&-j-KR#Yz<JH0b$G;WM8`0ph
zV>VU$3K>O`=4~R!bTQjhWtYrCN5Fu#lyII3!n4&kkZSc{av@~X^+7uHv^Mct)vBT(
zrcyF`Ssxm?1!0UyL)<@S_F<$?4P-rc(U52Z=oqO`56Ky$a8$20kwpXQ`CVo069z~~
zd%<zn-2~Y^E92iqC}>NO9G$bGqM_x>r-7HI7z{1AlrN?UE^DC&iA=5+e2#Gx*E2_(
zt9W|oiYBN|ob~G4sgN%Ik!bqJ0)E}qep?!~;M#4x^MC>sqL<f>R_j@TS~!~O6siqg
zBO~@d`349&%5kXnp*0k2C)EGVX`@VXd+#|W?{c2C<y-Ot8M#3*85?xKXn)eWKR^$w
z%|~P=ivVhN<8;5b4ldfS;@cRYgFmNcTYhe^L8P9RkJLsTc>b*)=V5wf7x((lN$+f6
z`}vZ^F6Q@NPd@H%&eg#6i8oJbb#1Y;zg2ehh&D>znhrSfs6pZf#USv6E#7?F(#ZKt
z3zkwXm*2RP5&!T}yx<*My#6Dln_jDl6~Su{J0cXJ9mKunNWLx7B=`F&6;Z%5%#k^C
zP8Jnv4fK>OTMT>lq|TkuK<;jfztzl~juJ5u3_N3tbLUkL%Fxx(9m{8^oGpT6r}M9m
z*xO=DW`XAU7F9f`?R%2?i4SAP&nud<+F~zxq^19`3g8hhlH<+^%93b}|6?0G*U4_$
zMk2#;gEaq8_X-j8yiRY|W*ek7kIj*?l;D@c$mE^+M|1^pdQS}ldH>j24qsjcXUYyk
z%al>VXqY!IHws90+$FbRN)AE10x=4wdWjvEO?(67foGm~)s#=kz=E}r-`njQ@#v{|
zUal8`-B~6V?r2GY_0x$Hf4ScgB5S4#dK0W+&9}3riA@4Rg++=%6NQAINa=Nh8Y|qO
z<@fF&iQ!Y&k!WwpK;moC+{N4TmPiR{QGIG8g1^RL#}nV*WVja;Ug=<Z(Ads@b>&Jz
zpn3f2Y2SK<VaZiuzu~wAp4`q+^w8o*-|vTndiiz2&G3PWP?<Sg`a{gxBY6<@tsr|a
zwvec89IrHBH^+;N%|GY0xj;I@U*S%BO}tn*N5183hCFJiiG&;{bQW)XlfCtx_|$yP
z(ICeZ+tR<}*luD6ZPljtDT2+!%U5C2H7ut1w27U5se%<*>lS2A7`72g&Sj<g%zoK9
z>G4#^hXqCBDYTv~zX;JoKVPqXZ48O+uPz(ME)y-;8GQA3dk8OyOB0=%#%R95%Xa?$
zA|WlDazkC9pD^dYs@<As1m$<>&l_bIh!T!H_O>yDME!W;6c5P=?pO1gQ-978=6vo|
zBN8LTYvFBoc7++@QP&Te*2pX|A)W2P^J9$2(L1@JXo8Mzn(lNIW(oCs{$lE76U5bp
zsjB(Ibm;t?$vgddhL|Yr+S+t?irDZ~^q9gZ4OtF#R(EgB5bItw#%pK&BUZ$|x(Wo+
z@UQh}-G+=AV*F}J+UKHKf?a-g@zp#PyLYY<3i~ocMB9D)(fVtiaI=Zb(Tb)bSa)gn
zkl8F@aN$ByvDOlis#J1vqXZR?jzl@Kewrl?3FUrTpR_`ljgEX%%{74Mn*L9fH|7YJ
zi*|nf60F!hR99bWZGe=uoelLD=84}moIgi{*r2}3oKP#&$EMQj5!><>h_zMFsu*X-
z{znR%qDJ&!{>tH}&io>=QDOb3b4)I?Rjf6vr0GFLit^;{$z@`7sbRx?8!kwDaGn%D
zql?la#lDYHEO;xrl-Q`i14WKhpD$mS`SJVQ#Wnn_NDj9W`lif>$idZyo>U!h2~ZRA
z<k{fgaHHne76D{sw*Rn8)`sk)dsX=ccI@s;q^v6x!cv~sEd?HJs2)!q3`^!f21o3v
zCKVAl@6x5`Mrz@P2+nG9lVCBmLHuBxC>o<hg_`-aK(r?0INaib<I5jH$3?~Q(cbRJ
ztJ|8e4O@x5=f;EaH=LI*mP=rf^L0vvjV1)Hojz!4#Rv7;`0%Y4nI4w^oa#48f!&d3
zU#&I^K-t#aI3!#KZ>BCk%`2gxbu@a7(hVW3J$uvVV!9l%+cl=k;wiB1Ug9z(iQvzc
z<e`B-3XqB4d)w+H1p|h=JAC(uf_Kk2;YwA)XjA!weFO!%YqLi~n#Hg=Ht3#iv@(2x
z2mB7-ry%zf>orY33H0n%?DCl;qquj=(z_uF^k+pm6qKb9sM>Ef5TXi3Xvu#(ZkpJk
zGpql6UK%g`!)QGc>X>mn^#1T)O*C)2(y=%ri-o`#YHFPZoE)BqHxy~XFv59_uZ#ko
zjyZCYncm}N)?4HMOdF|thr7!5D581obx)Cf+VFYGFEKN!gM(kIc(?Z`!KHWaC4FmM
zq^0jur!cvZ6}RW8rv@3T`;6JhvifNMdb054Dgz{5Zg&X^Re|^_exvIr46yq6c}_=N
zDoEA^=i*yc;q!%dZFmdQZ!hNBczM%caW1*&lDRtOC$Ac)$kOomQ}msgdO8XcpA|^m
z(LnIq+E%_A8Y;^&(p`2Kp)q_&<_wD_hN^tMGVJN7<RuT?5i!9P<$IN{w`wsx`1rxo
zsdNx0hOu+V6r#cnna{3j!}z9pPk8|ylPg3VJ97^2D7{r>^;id0>m4S)MbIHx@<5rb
z%M$!t#z#9dbg?JRfUTXE4lH?Y9PYM;CGDuv+MRkh)2VW8-#Qu~tF5Zw2WWhXSttHo
z55`9flFyn@5#;;t_wy|_I5sHmmM^Ri`Hxz%hV}ZG?b?{ssA!7=AMT`1F6x2Uqx{Cb
zSO;OO;`dlT*ur?D6UUb{J%lYfYqB_LqCfe>MBUcaSX{L&`o@SZl;Y3-GJK(i+0N=m
z3k9oDoXO$QIH!XEF0X?d<;XDhtSKY)uEsCcEG|-wHiQpUS7cHYFfrW6SwF(u9}?%s
zze5Y{0*+sHL`q`Cy3JIxWi`Hjwih>eL%}^FqATZwFs#($6A#{6jq+yhult2Gpdv{`
zOVCK*>55`p+OQf{77`^V?9_1D{}6d*Y>t?3bdI~#XNv`^E8>2^D)8I2g~x)ekKo!m
z&utrMi&(~sP|iGMn2y|E-*~)|VNg~q<2P%A%`Gou`QIr*wvjz+cDA3fHA3L4VyF$|
zoXSl^_sS!OyOO8m<|Lyilgfym1uk1uIIL2Y0dHB6m;!B%p<Vu1X*dK3I*_r(R7Mi3
z_b+0b$`YeyKHaHdhCt3P-_e>iV#u}Wa5j3e!pJz!)ic0B!0i1?`b4fU>=*hzgx_YV
zye+~l;VNs5jBBeMbuRH^O<5@U;w($$O{-3|SW_#!SJSy-X3UN5?7ChTcGgPCO?;9!
z-7Vo6(NS3Dz=8F5=`U`yvQ$dPhx1xru|WBb<<JjrSwJ=}J~|%BQn{S>e6K>SIXpTp
zS4!F}5Uo4UHk?&psf_Dr6)Y#2V^L7-=a;N$BE*I6b7A`mLpZyPC3%w>WL3TkP_oB}
zOX;&cwkMVuyVqV@ZJK6^lMdC2Ii7zA?K+xT(d{LMj+N$S%BTrWc`vfQIrocTzZ<UH
z*1gDZH6|CY*qb1*HX!oVN)rKX+5F$@78wr>+*tSJ8iN+0-+4~r1;H&j9rgY50^`<8
z_0(m4V+i*WMhy{#jMlJ`W%if_hWO_8e^-Kxz%CT|tlRDbqq_D<QLz64W0d?Sp{>^t
zek~z)qzk_?s?<du?mM@@Xfzx7^3cr?MiP(nG5wPvsa$_xXWath7o&OfTO%Eh?i&1I
zukT@aJrMQ1ZM(>rk6qxl-oWH+j?J6??fncTK3?H<<BJTTO{zW>?`YU<`Qlc@^FhYq
z^(HaDmL<k{o8~_2O*E{m8s#mU`pfX-t`T+^TV`bXXIy*IOa<?<`YV+yV+_aJhxQdI
zvs7|zHagDgL4~v0Bkv%k3C4ByqiGxeuvE?!y^7Z!H9*N4m#rI$CK<*L>-+^iuvTuK
zUOlfFVE`d{`!H;tW~c}?yxH=Zt<pkj+ICsm0KZC_*~{ksG2*_M#FhMGuk=c`D0TPI
z2al&)?C;`PhHiV!up+@(8DU4dn{rnV?>D|b_Uqz2<JcRq?-h?ol|N=5Y;GCQ#at_#
ziozBd#aDA`g>1Pi{|5j7|Nj)1cRbbq7st))z4zwci|caj^*LOnr9#QBtYl_KN<+zv
zh8g)%D22!<@p)GwqL3s+h@_A$^Vjd+^LU)|IFH9UugB~4)ce>qdO%Md2BJc+@Z>Gr
zIXwyepl3(irPG#n$!hTa(6nrcJ00@Sj!W>H<v?bsQGqtURiWFKf$}z;9(`_feI?G#
zjRJO*D!n<Z3g>@owDpfNphyl+lTivUdhfJx|6mIVDCLUT4SSgoB4_zoM(`o^xZ_*3
z79@~(bKEkhiy1jrSVn{o@}n~<L(a1uMA*%HR#_^F1?4Rr_I&3ih^h}To)GgO!r4Ev
zQGC1E&^{8pXy6n^>vTKgZm|+!R;J){izx?kBdv+{4vHWeb^HZm0|A~rzbZ9yf(u<L
zKsI+jiJ`}OvQiG03DDH|-9)yU2bsSV>Pq`7f$W|3y&Q2N!0Ef&ArxsoRBUx5WM!{3
zx~uGX%H|*e2B$p(n$Gc~tw}k~F;7`kyk|DC$B_Wc@v-^_>jLP)i8NYmqa3O=j^`GL
zC4jw=n*Pa5Ar#iSH~#=d0rh2^JhSry0ZLsf3O4OT(6!LcBVo@KQE!97ke(S4wj|9j
zpVSvac;pooV`pW=?e~<yYM2Pj8_TmLCKBkfb?WOE0tEE^yM$3hISE>>bW^D(rBI7-
zSpUbbL=;&qpQKQy3RVWU|CBwILAEt+R^8RAsLf2mj*m_qj&d1|x$w&&D!cp~;kG)m
zeyBRZlR^eQQp*loM|pII=g2vs5DnzjP~mB%O@V0K=LCC&0-6^8P_AA;L2K(_)Z)FG
za4RK|(~(yR8ParllFn(O?vp(SM3c0js98*8K3o|&41VJ9plKnRdZhEozf>sSPmMDg
zQbBbk(HeWFv{0;-rf_bW4tOvB7rhH3q8XooTlC&kv?2M3bk152CU!px>`Wsel{bB!
zJe5?$J(fh~q#8g%1X}TJS4FOGxGyC&Qqkv(;5=h>Bgk?x=j;BihHOVN7F4fL(Y}|0
z`6E;l$eB!SKHjO04F3y=ai*gp?`ytQO!^pT<1rddv1H^c@&1-0Sqt?pc01eO0w}Yq
z%xYLAqfvfCh7CSVH2MBnmq?Tur0xvTT~O3OJsZ6}o1Pkoqc?h@!@?Z?JGW6*%A|pm
z-T(6W8L6SCI%gGjPMbs0&o|yj)5&N@R#1~@69I(>&@i(A8mM2+?sz|-j=p)R<S;5K
zp(`2TdpDbCaOrxlfI+_+8rn>F(i|g)$lIWBc#Z~w23I@svQ&|!(lg=R^AZT>z1Wnp
zM1#)Z^$UiIBqV!vvm@SK2>p7UVL$na2BRBd8HHB}sIsr}lu{ix>Qt7}p2(oVs{)?(
z`Br5#ko5B2raBYicy(U4$czSThMyePHx$uD+syWMn`Qj<yQj<W#T@8jBr{8i3h0IA
zyl<!ZSG?2F3~W5iL9T+cKi5GH1*-*=|2X&&>y}PCT=v5Z?#-k#R1sy+g>4s_?Tg>o
z^Zcz!IB5pVPCDYzuO-k%jv{#>ZwX6Gu?Xat0Qj<d(OoJ*6eV3(JYV*E4ZD>(qG#*{
za6KsJHX&9BSzXlr>VIboOUYrN&+f+H`(kK&W;H)@q7jPw&eMU+s`b{PZ>BI~DokfA
z%ZuFo)&y5n>0xQ(_WA5(6R6_vTQ<1HfwDDz2i1qt1ON51@;)IGSbKdxz5`=H#zw||
zr6KfCb;?<o+0+=)FL$&>xiO-z<?+eiP3b|s$T#eBfDv@(vMmvMwsGEjyAv)?(!u!?
zp^>A-hEVW9$ZaO?FFxp1JuDML2UkM&^%qYXfZ^?#$KQk&agSIG+s{o04tJei-KQA9
z`;G=~6Pp?QRS*3=Mbm8zrR5Tj#ppxe6su`++BjbLpjM~#^cJ=<&y{w(M-M7I2;)|_
z2k_;yj-ssiCe{{jYi_Qg2O29?p=0OY;WV98>nD^=jP=FVT*-A^=tML+-PCmaa%`o-
z*>@Y*o2N=AcP{C`rLTC=+|Jk7_}uiwrJEaA{L0VlkH>W2MIPC$<@QI+4(n!nmbigg
zl^@6z`=AY@&o9T#-WkL^M?^XdYc?>ai2Xqm=Gwqu65~h;8pR@R#+cs`+{DuGm@VFV
zDn!h-+@S87!1nVEO)HjcVhQ<y#0Whqq^6}G)*Aka4W0<3&<Af}N5h|rZ`Nvo>)B8#
zoBh*Rh6}HcPslcA<GNUzWUK{`+zZ(Z5B$NJ72NSLJ35Hse|bRYjV82C#C>}-Gl%6&
zHf6c<(Zi)dsndzpnqaX<MR78D0o#%3{N8Yi9zNCXUY{JHKtFT;jcLs#%)8@eSJ5Z~
zFb({&QxB(rxiZ^Qz_(?r?w#;6g$+h{CiSJyg_{CPc0neid8=6JM+g02eP%d%z_Xt7
zhz97FkXmmAuVJ$73psbPc0k(OyUL-r$*@1@Y;nW!4XhHmkFUwGLhXIGMZ%Cecqg}g
zP6^n;vP~p-b$i%=A+*ghOhX;=qI_!#4$*<|;DrC)Dh?>WlkfX1UJZKk`Z38EdMJ4O
zdg|IME|}K27aTaP3X8c;r$XK^!1iWo@H+-x$US2or{Saur0b)R7nPadbpJ0NUEqWC
z#d`Yck0kj0aJ|j+J~NOLu5cCS@IxH~m&^B~B#8Yh{k7SG1uTR_R^3Ge!EsNceD@>~
z9E9T7omkmmKAPeA`)VN|o)jHxizC9vTdkq)3+!;t?>U=uqzI_Azu4`pO9cC}PsRRh
zTreI+t-azQ29B9$_8wa%fT3?Bjc|Ym8gFylsg0C?4_psUF}4w4pSGmu<56BHVBjm&
zsh5J6CC2ais|dj5X>06fzz?SG%f-<`vM?lF_jaO&0BUr6Zn}>JV9WJ2gSn?1bUorY
zbg!2H={mtv!<Y~lJ2rXQbjXA4#qZ1_B1DkBka1CTK^S=Mj&o*MDME*DdPY|?5rp67
zCfmFf1r7h+Kl{g(V6Cn7?<yw=R(N>m3XwRxT@H}!xS;|~*pV=-g9M*<3KnG!N<z+%
z>yCZ4MEG*n`^3lBs?alZYl%%#28P%!GbG5X!U<9RBgQLg&~>TJ<9DMh(03~rB(15z
zU@Uf5Hh>I|1&7pnx8<P3?^q%2BN;AuzLg3Wp}?*8f0MfoC_q?c@0h$b1?qOKc|VZR
zgljp!mFONQLL-Bg=|Oc(sQs|T-(#%>AFR%_`?D*<NQsZ2`?4l54#XU0DW}4T(EX=p
z{8b>T)Gx)qPzyLXeipyf)q$4yOO31@1fXMP|CmLhf>R8mr{9Dwq$J~0OEM%7Z@(#1
zevt|U(h=^FI(@i0lTn1bs6yI#*Xs5>DjZPXmBv+M2+aovLt>-VKx_2%oKqwfcqN<p
zdJ2p|Q_0BuN02(?TyK<D<e-AA+if!KKT|03jJAD1C4<;=H$A6+dk^T{o66k{@ce|S
zuxA|^&QEacyJ)2e!bjzJn<!@BIs85P=qefT;<~IZW(t@wQmz-#nM1xPeY4aI8N}04
zOHA0+VRy*LW_N`-Jh6Tfzc+&nA@A@&k*7rXnYUJuW<-ODd)3Bui|Wuk$5`Z}stmT(
zH&{b*X)xH7d@TN7zkc(&I`=Jk@b;eAoBGcOO^4W7KMkwGcrc&4kgPO3YO9hB9j8I!
z3oak7^CU2FTXH%1@6UDFuK3n;(m-cO(8}Ns0nnN<r`riWa4WGNalb=@22!@6w7CjU
z>f7a0f3tvujzXl(0U8MWEH#OUQ33{I9+}(Ho7i!d)4wkKHizHrzFYgN6o9*X{<PQ2
zDNKuHC^kLX9A<B(KZyDv2d7m9>+Oy5u|D=3hGa%_NamE2a#NIr{TXK78-Zi^^vpS?
z*ehmm-}WtA`iLaxi}oe(XU^feXWmcNFq=Ws)<>1rLNTDrnCA=%TEX=%T=|=D6`=7z
zsSZjPhR8d$G7}l=cvQ>8P$?Tg!4(r{U0eVp>~o$-Ic?z?R=NadSqwCpITQ<J_+Ta5
zv-A@^9rD#HVt3au1-;yTWQ!m!u$no{)9g)$jJ`+Z(%YIq^AFzrkNDX@Y-X?hz&Scp
zBE<U1F47nV*iR0{$uI-)k6R1bo(}EVO>NRHF#^}H>l1K;9(E2$e(hkVLma1DYq4QN
zm~j+rv3k3KozFksdvxzME@yQAB9pWsEQfn?)k>^jBrmNR!;@Qh#phS0EFK2n^h^DL
z4bMFGd2Ao4FlG~vG5u!pp+X;|4$BKjsQki^>UnBH!3M5Oo=KQw)Q82H#5{SeF^oxn
zo6CA&9k=kgsQ1fR4`wnF4{BTVVRgSObHcUO@ze!Juc&%m5L6*#8~C<hzXIb_waeCU
z{!<t0Eo5}zkBr%XWxxf@Ablq<qwN|Vx~l(_@tO`yj0~L*XL*f_dfXM`Qe4A*dKw-^
zEono_lKJ|B<ZisUzUx$i!Ww==e!Vg5q&7rcxvvu1)Q>AFiwN@kn{%>sqvh>aDoovH
z4{%Z$!S9{R{nl2shIe(2xE-*k!q>Ac#pA`_aU*Az6Aio8amTk3q#wOn5L*4jY{%jc
z{J@#*J>NJt@TR}PVv!D7&_XYF>W26)oF{&?eGkhfKFfPgW_DN;J{pP6YY=B}*_TZr
zyY;qkN80s4eIHE_n+VRr(*NLDx8A>t%-hB*`y3PYu2LXm_>`x-=se!heDZ9-T{<+*
zC(A39Kmpf)w>GVJ7jUQSD?5Uc>Cx@x5R)<)3it*#jYeoK;oo{5T&d4yK!&HRT^WKk
zfJZ`VC-!L>w+}rP$kxh;Si-v-OdgS8QIJx|o4ktmXBnM6CeDns`K(^5&#1#rv9YV~
zUDxo^`CaWiX*<x4tA+RI^wmNB=21JBgBv*SGwy2*8m#F2)u$}W|9q1G<zFk^xA5hk
z*WMlb%Z7pt*BefJSB0vm5&z&rbZF$$N-u4W1NlA>rj%Q%g712<sl-)!<ke(D;+Eh>
zY^0kWo=-_&_`A^h#wP~E`k_+5#e^5FeN%j^s!9UJ^J6Y`W=zQJCTrKe1U_Ws_vXWg
zM?{En-TV7i2QzXEU1%v-=0}I*oKp805+P1RzsVt*1+i7~x%I>fqMK)yygGUaa3OJV
z%)^=uJx-1-3D6Tpe7W+i=o|r9a)MLg5C^i~nSY#@PZZ4wcJA-fC4j-{6C?T2T&O-Z
z_q2ncI9gY?m=t9oz?s(HTQ2=Pi2Sll_7hDKUCbD>o)}R94v5-Ot;>g|dt9Oi|C2@{
z4k5t%MFq<0UN?NZ!;g*-LQd#q$|4(%S-x*mD$qF)EbvfH5Dlg<ygI)shwL9~uq#Ut
z;Gkt;*?hAQ;{25PT`*Vy5m~y&ECL81{m^6A=@bzplli=(mPrX=f5{yNKMC;bqCI<R
zq!?;+v1xQIS4KIu$>MowL{J`&Xt9o$KxS7w<kkZT=w@`?VxB(<h7WRG6l;`1PqLhF
zGL3{Xb9Ch<E~`RZd9F!4hb;OjL2h4FP(#-XSlayu)L^8~zGQZf9J08Z@zRBZj2d0<
z=;)s%!z%7RrkN>^Btu19`2J|1-BX5N=l=0&PvW^#s*4K9GWGsGkueI|`&Yy;!A=vH
zlDo&F9F-9A8a@_>Ya)VLa`Vx9TJWYO@mfN&GGZ&ORVj_tLPx6JNH0li!=6)P+JRaG
zWOXQXt%N{D52|uGCEw_P!+KRgUpf)Rvoz@q=Tp%$y2Mq{n|ctYsK6=ti-c;eRnNwa
zQjt&1l;;3dK&rpNO9s%}J7nsvq=qE^G8ANwQBmO3#b3X!8Nr!{vP`T->WFcjKJaG_
z6|E>R9{ZkU0*o-nEh9%pj|Yyo?At*_=$ki-$9)Xy&J+67JIH9!DX_IhP7BSP@-pae
z2dH9onBLIQKwY{;3tMv(G~Ji;(yG!7Nb*%a0f#lv`!wDTNjeRrUO}>qjWP!*(saGS
zKW-KDRWRzSR7G8ztn4SHY2cOHVCR32j6M{+tsqGgkj;8&I7b!@JP(@s<b7607J>0`
zB_|b8oiqPK<w+W-iQM;o@mdXCxo%&GKb1uW?^=ZwIW3@({xNnvNEOBC7X<|!5Jwpq
z3+lrx7NC4*R&Dtg5h)xtFp;VjKqAksHwk{D!PAP}raLeKI%grDh{toFr+hi=W!W^y
zK5+CGAwn6QKgJ^bj!2J;Z7hgvrZmW^a(!|nUlFZqFYhJQ{K3^Wrrn)8%^^===Vrtk
zdG!13z>8hSU*h$a_x4yEH3yp714Gt7vWRZS{(u|nquAlZs;vv3%^>)Tu*su?(#Y+G
zw~bxeJjQR3we#y?Gbm7&q5C^7jt&>=pL^)>7t>vdpVICI2s2e_n=BPUo1B-rRIRtL
zy^#yt*R271wiI0>iv<x&^PaKiy>wu4Tr4=Y1cS%BT&%<g`H<nkiKe>m^njmPHPopw
z1vdSeN4n|UNUivwy<|88D7(w#ueX~(k5X)<<|G?pp>cN=K45^7N1qG%r~h#%&*=gD
zAv4-VU$3wyivh&HNa@-M8-w({yB5iP^vFSpwLQ&|0n`jQQoVN@fiR1n#Nek5+?7AL
zk8ztG-ovL|9hVHjlqZ|^^yxBg(m6nWc<UcGEn&;+O$I>H$==R4nZt*_^3P@|(}VMm
zYHvSo19%&sc>e~P#772i{dc;74tB>6{>gRK2Un|Cf4+-;!-<ayKQ|wv1EO$>t3<UP
ze0%yi<w$EMKBdDRa+{wHj_F=5jpoyXKe)lVg;NRMnKxE1UbT%qIZV<y8KMi!N$0A$
zF1^Bz-9e}+U>kG2T_Kg+uLGT<Z_4egdobfY`}_r+x3P69FZO7c4$QUYISL;g!d5G8
zMUI}^#*R3USCVSA;hInQt{rF$`^Xa_yuWuF^Ln=Nmrh+9*iHu!)z^Pufi^BS=csgW
zL1(YUXb~0cu=W;*Kff@G@lry0CLPosEHdF&qQa?2Rw>&jvsg+TaX3JN9zr^%cp{6n
zzz0@a4U6Y6ezUy?&%dAtkr$r2%w#P{eN!nC=(~Vby*?P)5X}IWZ7nQH>oh?FTEq9L
zEnzVW_ZakC7{RrJW5m-^6V&x2@=yF(#$2Cdr;&~^L65)qnod6jzKGV1j5n-eCoWSz
z2*xsl=JpyvA&3Hd%CGHj%3j0PvzWzeI(EQq>a~N$oD{gh5x)5}X#>l~#9oP*vV#5N
z8-0|c8W3Hi<9IM@3#*;65l;Qg2GyL4N6Pca0Fj)0-0pM`oO#Le%^eQ-w(p$(o>_Ic
z&TviKHi;hK$_0+{R4(w77klWpM;)$^cdl5xV}QP(n78RQJm5RyQCRR;4SN6c3VA8d
z1Yz}$7unhPfTTi7ye+8)tFJPq>u)o|@qJGwuG#WK;QaSkp$t{X4{z5rS7CuAzd+0W
z7Xpy^SY}XKS`~~^%r;{BS>d%_O*_R>2x>Zl)J7^vKslK70adbtTKlAP_o6UxWHnxE
zu_M7jLP2R@6(_9MM*rpf$8*asj@-Y<L4q32pFD!!xZ#wl=(^HtaR|8gc!ldD5w3cA
zzgEiQ1tG`yL$par*ri!j*i=r0i}T;yhR69JgV9jK%0LE)M_eY{?h!$L$TpL8j{yAO
z>Y$7b$U>ps!(icmoUyCcuGphh5agJrZ|>KUha#n)V{xNIFnls&oarqLD|Th@>#hQ@
zmK<6grIO&Gt^Je$K@{NOg>fxKCCGB4f7<_u1X@vaTC1$$kn*?bYFC3Y_}=UOSY)FL
z{EsX7=Q$*yTmJCFFrR<<p!t}@3P}xuF11PUXi5W9Y>GsZG6}B5?HBDcQU|+OYn>(|
zSzt1%II{9v6@E7<bHyf-L2#0J|EmBw@EZyI)KsGmQNJtLxOgdWg5dpSvRoc$W=+{Y
zqBJ1Q==7`XZ3;YVU}oyrPyj|U!&&+a3S6D-4yzE>0$qneS56xxP_m|7CY{iP#u>k3
zPwc4B<hGMXwNx2m?=`4Q324FPqgmrs_&<Hwl^r?zFOSIBOmXci(gNevy(1ilbb*m!
z<f@Q05zxt}9If0`a6Yp6=hMF&{<*CtdNPFsg4YrxCTUcNP<v*Q-eUkhS2K@HRjPtm
z(z@TaF%`bE*p@RqGlC-iBX)sRYM>l#F|4|v1$xIW5AokOft3Cszmlu!FhM;#f51%(
zhS_#o`z2s7l0Knrp+JUhor1Bscum;6u&Xos5rEfVp1smVG7MOTp7`od0U2x~r|^Oq
z@H*ziiDi@FoPX1$P&G32{&3)HH!z3)cKz~?@FByO+UM`h|NZMOp7!O>UFHxz#%Gl<
zrw$(CN5YLisKCHA9n$~{8d$wz6spryhmS9xnO;Ax2+NCv-ZR%}AfoYz;7CyehUYFC
z4hym%>fC0fUqyqSj`S-BmPjD)`TMocJ_(S@V^rg)q`}W7ElJx1BJ6f%m7J6n0tFWq
z!ry;$UNG0^S*)o56Q@}vuLuulT6HW++R)$*y>5ilA!RshAMwD8#tg$6HtB3z<}ls$
z>gu@+MM$2`^s=n_i`~&@6Q^aF!-Jn1pQ^sdLxF5`x3<#{Z1;9I^$Woqx-Zqww8_Z9
zH!~eW_NO<ow>!m;5}ufW#Fox$!%=C_c3Si}w|@i&{c^EJ9Wzi`(LKvtECDY*`WVD4
z&)^ZYr78~308%ekKdVj`g}g9U<;?SocwK9L?z#zp+G>HLL#+^8eRC$Rcyk56gvKkl
z|J^G+_{Wa_I0c|hfOl{X*6{IMncekyrm&K>$bx0^LL+HAU?hGWuNTyOu>RZxQU~5Y
zNPfx*7ey}?zu?=znS~6aVAvRfD1{2#g{(09n13*oZ3F+-+uxJPVGL32_=Be_Oz>)#
z)gAimbv$yygZ>j{1pP@j=e|6m2T4JfS+4Old{uksaQ<0CpvhT;4Ml8Xmu@*e?_mDN
zA1^y^-)uC1!HEvbdZSfr>1~ANFyCLiASX1yjMV^aICQTUrY~T|VOB0G;;Z=Q_W@3(
z_WGbGStQW6FoXH$mUQH*uHZwQ>o!VddeD2rel?=(2PXT@Fqrw!G9HXgDP*(hL7PR>
zOuE?!=3C0ynVhnOHwZXd@Ac7zJ-e)L=qP{2c)n_6y8d3oYt!Fv{QjT=x$BF;dr56r
zb$PQZxBntO>FKb`+)xL4Wd@_KBvfEgJLSW72rT01Yfn${KhTE5L{j5&Um5Ol^`%Jf
z@B;4d^SD_}QX4KOICM1&HsjBRyEr0x7I40mh&ivD|MbcyOOQzE!tbRRO<tM%SO2hg
zAm^Wshobu#1+IR^trE`m1?ny0fiAWZrO8_0W*J|p$MY3GWxcB+qi7MwTQ?lf@M=Mg
zv)IoWxe@%?EBh}Y*b>fQ95OzYt_c#Qe=2w6jp4+kwX;PG%lKvgxAxPrnxG$Gq4Q(M
z1ism+E5J9mjNkfkE8M?~0x#~W1U~ng#6KmZ1b^pP#j6Ck_?<Bdbfw)(T56ucJ@^eJ
z$`1d<?*+4JI~Hqzty<4;G-VnOT%XN$?^weR)oMkT_mUyAJS(KRbQWKr*(Cd&*}$*=
zba#EsNrnii?X+{Ub2!CMroPmE3$J<je)Z7*ebC8Gh9i0&zaFhS@LHb^F(sHv<tM2@
zBF;U0@%IA$=Eu=Hk?!=!HpeCDVXrELZb;o33R}Vxh&OAVmocEu1@rTXDylF$^r}-!
zas`)skSHN0#e`guN~~`T3C>ASww{cw;_IcuT9Hqf(W^G5?n^^NNKd>S+t|5=hbI2)
z77AoR8%MY4C3g}*=7#j<(vJ<iwD`}j%MNU)S#I7dqly5`Q4^dd<ZYbG>R5htC<prU
zXl+Lzi2(aVE%$r&(4l<8ZI6v6E;Rn2*wN^r3T#U?2xXBOP(%pb`&boT^u%uMPaRbS
zEZH^g*OV}#TvOJt<wQQj^Xj6+hZbeH%j;b*x04w?J0A339KQg%MD1wFIH?R_J`rKH
zY%HkSExc5)Q4qz494_@1RECwW^Tib_tcdX1vMVc181)!hjeY%~1nYda4Uqr`I+4LW
zqns*=o(!hRPUI*-OxOiAIyWvPXyp>v@j@K^q?CDfMkztVe;>7<Pw=3uow?7hic6tG
zzXVO40+nE^E3s1DmJg{kcp~0MGH9DKOW{ql64+k1im&MAM_;5w_=gSTQ1{i@sINsz
zFk~MRBONM;mSVG<a-PW}PSz(fLi0+{(zin~!$26dK6nvz<A@?UJHOeN<gN^tJikls
zP!dIoIY)!NxRlWcRxVu`dKEDH`QPBSo;XSzwaRK5Rzc!Hp4x6*Do}gv@YKx^NtBDL
zS_!ui(b0~avYY_|kd3^B1p1^=PZ5Px@vSPl##6KUp9%@qWV1;gm9oex%huxYM|Jdj
z&D1x)K@}b^9bNC@kVnetaT{x68YuRx#{Qc7>fnEyh3FryfNTtZysTfQp!JjU%3eP-
zz=xrI%y?E2@ddb@D*K~}+$X+gdRb^fMWj^4c91ga`$?L9+pC4V=Y~=~G;2ZN-%H%<
zt19Sma2)vNQBgkcEZuUHHuTNDQU4N6M7Y9Po+n1y2qJ$)xw-1X{{R30|Njh^cR1B;
z7{~2n?`*Oi9B0`3cRNO<sHkKlp+Zqe5hXLCA|pa&B}7R>(ffOBDH)NBLPXgktD@Jx
z_doY@UHA8TzMs#nd4_NIeyJf=fyaZKdD`gSh8WwqQ~FSRP9?wXAPEKC9)7CUsEtII
z(|!6f41q1{Tjj%44OF~NYQgSkBhOpc!VmQsL%`R4*IEk5$o$w!{|Rwz#Ec2wVUWVW
z=lEXtz7PtUOfmT)iD@B|5xE=j4***CI;>c+P?4bpPogJ}CbBxi(p*t$1|QS{Yr7Pv
zXn2O%@pvK?X@lLOS_&Qf9X>Jni&0VGl1h!$*8Wee=i8VMm;-UubbCWB1+}*aQqfaY
zM4bEPTsUD4Jk3d#lYhuaERxIA>z)!4l_CC&vbKPKuEmL)V;ZP}$%Z>BRt|M4ld@dH
zEWj!K3{@wVgkamqM!lRQ%HXAYv0Sl$7>P@&fm3RTvrkAa2??R5V|Ln=P8PtH#9u>~
zS4Hm?mEHepbD}YyPNI>J1$d;(kdeL$O5JhRb3$taZ&w^|7pX9ZtRuUm@{N_yYekY2
z5+B9UDcdLajm)9+*yp-1Lj{y7q%&jg-H)YFe@|V0MTg#?#cUlDIb>Vz$T=Rig!yY0
zOzx)Ap+b-~F*!>H-MPkpOEq8vV`&{M4=OMN2e4K=IWB=1gJ!}z&oDuj)-95ixEZ`!
z6E_q)E{ZI4ZD**WtZ=Gc24hVI(5H?EyUPfp^&4!T>qpoCUEBLknFpY&v|Nl|L;wXI
z_qqRRg8;jV7Y?p$-7)x@HrLu6ZWOV;F-1>hhmH)-voF<5p~m;AoKhSCMTWK}@wTu-
zi;{lbeRC5Kz%H@gm}5e`#=Rj)FWBMr<gIe2lg1E~;E?(wZ3DmA?8Gy6fgQqRx-QwJ
z83E~7-JF@y3NBxfdp>GAJD6k%_4d6tgj#<2kcQP+d^U;q&TI_<!l|S&BOXIIWLf-C
zm~RwMx|LUK>q3C(=#jgv2Mu6)$zk}#rw&|W@n{$ifdKoe?9YuC>H~XQ2I*ZyE=GI(
zE83-j4c2<>nV2^8K%DbGg+7yy*lv@H)RIg#2ry!{&Uey-k@Oqh!n;SX9dJ#NErAWZ
zvvxap{HF^62fmD#8UMh%NO)yX78~dmH4DtB=)!d1rgVMsEH>e$2Zn8IFlJm_@h4pe
zI_{Nzlhs<pj&QF#a>*0mP>USVkxK_cEk}A8Cx2l=gUtu5vIr2^r}AhpS{n@eM^6NX
ztYXzhzLUa+>~JpZ;#F^EZE(EAz!N;Zjx~MJ*_-%}9U77ZG-qSAz}#ST#L(t1R`;`b
zx^bEVXnGB`9(-ExKuqVea^WUsKr?MzWa5GnF?igTtqC56A0xvrGXSp2alpr%8~)Uo
z%^6TMA*}mfY-l+n%-;yT{`@fyP;~-aYny10n%j2y_&5`|Z#NA|-^B+<=c_KqdC(wl
zyqIxHl?A*leGbRQ^TQ$a7cq#H25p0%T2jJT!S6nPR{g2~#8^tdd00k;BF_<%cUw7Y
zEeX88c2^LztwMB@oT<Qh*`w=+3p+e|EAF_nO9<*Vp}Uul3RwG{AG!-1a3Cj2;JW-a
z2yHoK|1*sO60Lq*Yq?yo-a&t1oh$+z$5!3HOHiPmF<jXvfCv1_Vvh01ioq^_x5smj
z$<Uv7*SYyP9~kO>uXgDW2j}_WoEwM8Agt`Tk&E-gbbY8<X}%<^x-^+y<0r!r*C!Dy
zBLa|L<rxlH(jf3dvv6rh1GfFzG)xl{0vlqHzI4@g*u~*2Nov*r!PTi<?@tPYRl<zi
z=?z)fUAq6lREq{|e;yyr+OZ8jHKzu=qRE3f3lopk4-MEynLQO?CkjG%M|E<r0<<K1
zTa*#WK(TfEMwl0aM=XD<IXe}hquKetx$9(*I1#~cvRDG5`%^7%8Yn}rcYZEaiUPB{
z_5`ELQXt0I7W?e63do8SobBzUfY$5*xu<7j;3{vi6c<$$7GK8-zILZVW?#|Xn<lc5
zmu|al_PHAD-#w|>`ilyKId40{_sYSkDTf4mBNDh@P@<U^(4hKn4ng9yJltAm3o5A6
zfC*+{1?E6aF#lX(qnxY&ZJYT~`HB?qJ?U)d<E{mxjptm-sujVYM=(d%kP0<5d^aQl
zwc(Wl>KvU=0_~H|86VoHAfY)>UtXXC?`w-9qy<!f!%a5a&WZ+@@w2eg%er7V)FjzP
zBLY!p@x|k88WeCoe)0R5J`6lGV@oqvg%*z5r;BfCU~kOZpz_@S#@dV)d@;4Hyo?%m
zG}B=0K)Yhw1tTaOvC|uuR)=OPZPFr{25{lK=`g<u@LCF;x!9`?C)DzH8Y<A>G^uBA
zO`$1B!Pg4r<0Ob=As&{vL<I|*=o<&O0emsGPtZanpiZ@@ou*UZvd?Jz$F~4>6*FXk
zF%l%PM%;R*ssVTWUeWV>%wWlGvD~YT1ey-czJ*8)jQ><mb}pJhRFzSIR455NJwKo7
zlq7;wQ~URPS30PCGQVpxs}2Ed!_EKfl;A)b?}bmLbU3o+6T44M9VCXDFH~QahhKeT
z&l>vZ;G!Q?d`?>pZVUu||9E;kq?}6Qa`;Jy*J@v`<_f7oNPVOYQCb4L{~i4Jc90Hq
zS4Hvub`{X`-+%QeWgAqzYHK<4k`4tDVo#s@E5je<8F}VvevpW(d(|06hdnxo{VSsq
z<eY2L+MUe-I;j;RJ84^els}q$H%<Y*$gidN4>Ccoam(JvpUuF1HF+SBM;=Z~73usw
z{u}%3rg8t_c{3nBtZm<OTNeI{*6CqXSisbNU+!||H3Q0>J5@u6WT2IABFQ#x6yurt
zTzMi7K%^uk_fxhcoV>bNzRSJ?TRp#CGpG&VD}A%cj35qfS5^{*awG7iruEzTH!zU6
zVafdCjtE%Wv(P<9TJVZ*zZ^b2H-#?gAKV|DgyBI~Vo4mS8^2vBWiUQ$0(D;!BZ7Ad
zLQl|{`{Gfb@fCgphtFGi$hmavEX9)_NUI};JaYZ`+R4p}mR82V*{>mS*@*|1+C|5|
zX7%CE_Y90*h%kcFcdk?(x8MZ1Dzh9~Krg=2R_0VxogsK<{45lTB)|)AMILpYZv2+P
zUiQNrhG42|LTut?1!78+%iHL7+@m@DUHeu~DQsp6T774NZmDE3i${&Psx<Gbsv>>h
znPJ(dz`zLCHyRHeTzQT^2sFqX*wlmiiPea=m75skapeD*cg6lC_WCe5>j9NzW`|S%
zA1p@dAlt&#mzZefF{y=WU9kKzLND`P$Nbh9mMr|5G1*Vo`9tM&!HcV(kLU0z7IG+O
z^Hg#tCfq3V@l1jaNSEg949Z@{Jgyi@|MKp|_T6{cRk*GViN$WKdE{T%l>o^Pxak+n
zGSxM8`II*N@W5E42}_vRiypnvxDo9BcD&W}n-(0U=11smU&JiT>^}&d8^h8se$8`t
z(SnKfi8I{(3z&m^d~}271cnCQNn7=6!ugxC)>l^Nv4+6)%6CU6F?X?S<4$Ky*q?au
zJhglt3)rsovCC%$YyDc)I6F*(k;yY&XOic!7je52#I5GBFeZX@qBjjn*k{cQ@6Ka(
z)sIvBzAs?PXLPBV%TzeRa_AVPYaYwGQ7Nr-dkHflv|nJ4p+a_J`=J>11<X*z^P1t&
zWvn3Hg{NJV3XXmf*O-bIurs@bI;YK6G0meH<!_xS(DyUDb$Qn!cJ^kj@Eh}W>{%o0
z?f4sHQ2)3&PvKp{R6;sp&w2mB?k<<7_HXsVAm4$~&E+MG>pO#%desKz68WB3OV9v<
zyjuj3X&GzU{G;|zf&nPG25+owNpN&!O?Xmk1)G1~x9S+k2p9U_3Ea$5hjatKJHHZF
zvE;Mr_jdkdf?YG5zbod{AimB0k}uynMwAI1e;>{QS4%d7zgw$;a2M0|xi`NtMp}W>
z6+<>SfIrxMx=a=J`K#Z$mh~6={CQ71U3!bts(P2RMODG`oglTfbQ7yo-W7n6I3X}E
z*Xw&c5l#?ty`4fB;J;jdfrV4t5L@`$rJaQcz{^(c^_mgv0;C0%MtH&LDnkToyb9b3
z>hMjIWCqK=V!g{P{BTn`Fw;>~1)gYhpD4b^0##YEv*$n%rgz+`e)mKfG<!#gPj|5a
zf41)Y!2u!Iw>PHY)*)peZ%i{YZN2YV=H*J+>}{YK^n|9&sSF#VwjE??PB?Ia<}no`
z3XdG6FYIblg1m{TC|+A`IAL(uxjRc7Xx1M_#qyM(=M3TXlS*DtCzvqI3`@eTD??mj
z2}<xM{1lT~F+W7xzFw3(ECck{^>Jof^Jn)&TGT`ZVX4nm{C9*b2rLNZi9S$*ws`M*
z+z*7nN3B2wTattH7axS54=F)x>JG+V4%;Am`(8@$6$Mz4^D7=SR)%Bl-9y7<QE+|k
zdhemC5}3c0y2)Cv48n5OT{lVMKu-|;$~dbGB1f7+js>g0O)Iw6{dSTNde-k!);l6J
zh`*+P_8`LAw#}^1_oYF{CHkH;t_EW%vbIZ!s!-_@?*E5N76OW|BG-Bn6qx58toWk_
z)nE3IRh{J^Sm|T;S_c`LQkN?Ysz|UFeKaAuMji^v2_v(9RQNGxee8HE87?s}jTLGr
z!u46((_wxz_;puA;ac_<kL9pAt(Pc4T<7J*HCIibG*O^{MHAdVVS5uODsW|$dpccL
z3%G~UnWFD%f&GZI#@A;=khm5XCOWAFT6Hy{?A|)C@vYzMqox|Xyjr$k<f{!yU!P*w
z78|GY1a(*5Q-=(Z$ne-oZP;j>u5Sr5fD|#qagTWt*k@KhwW-jC$(4f5fXXc|czyHy
z2Qe}X8yG7HAK9|OMwdD5WfL%A@jZ8qn*vtU2)WHCTCgXx3i?C=T-_X2pW_tZ*9j0+
zd87$XzB8VnsF(o~9OM2iL<LgHj@Wp68gvaPON-0UA;cy~{G|*P(A&X1?w%Al)GA>!
zyhw*yl0fB?KNJW!-(4<Np$<%gUM(d#<{&zAgktPY0iz>zf^VOz05(0~a7f$&?n}3S
zEjvesHKy%_7w>NM<TtrpzdS79PyLCFAVUo}sJ`}+leB#+Ke+Gv%N9@)nA%4CPaXa|
zakm+X5{2^AZH_a(7Enlj6&}y62EjA^IXvO~kg5YFK6(}~bhdczf))`*<<G1&#IwM&
z#+Ted-^^jaDrV15P=-va&mvwAmat%Jp`6I`=HTKkaFLU)2>bM+Gor~gSn?(RpP9eu
zFm*5SW)58*wwX%?Ghh6P+pKEHeLY8q_X{8Ir|*#k5`U_lqrw{gg|u<pe$osgR+_(z
zwo5^kC%&F|k^yZi*!JwBs~ND*mSmsN5r@S#P4$%&W+d%T=T+(fxcl^wjak<=81;Q&
zp3usQ78YQi{9b_l3OO+urGoHV?VBfVL_it#!$Un;7#xo5+91U7!7=`yf-*wvD7c*D
zp-^B7NnBZNEqa`=Tqxffcb*-o$P%IxUYbB$tF~3U2P<&@TJMsIWk;ds-EaQr+3IWY
z<4<PT7$L?&aW%q)9hr*d`!sACfwg~AnVt4;tk3IITL2$Ba`#|0yG%2JO9Lf-Wok>9
z#D{hU*Czy2loFZg>1znCCQ}72|NX@Ly`o=p*$~iYw;s2q3Ij0ESCZ}97{oL+Q<e<p
z+0YNEBc>Z0`p_+F($>~ei}4dLAE4&3p-2@;^}zl5AoZIxbdyqt^SKT4XnV7v#D4$J
z1*Lj$!@rS5#kddmJuv97xr+@2>Iw<UbL&BHK6}Z5@1wXD-6B?KCmTB4eq<>zKo{f#
z9{CqunZ%cTU5x}zup#4gz1WPeI*>28(RJQx9`7pL9X4CYh6s&x3SplPSUe8%x-7Va
zpN|(iMdctMXQemF#ZB5UJWQdtJz2(cn+I*SB@+;LVv~Y1T^q=xpOc-WH9Vu>&e4~q
z?C8|zLR;2)Es$$3UJ*<FjkBply(9{8pt*(Ws5?8gz#?RT;xX|TFR8L|kLTk=%<`U-
zq8~LuKIVzr8~uN{rkQ`Hm<|`p94{J*cGrY{Eo<lZO$^B7@TVTL7;Ypb<fgT>LW5<-
zg^LR-jL2Vp(Dnf%FS5fOUxX*opmc4|+zl!-g1foa3Xk{@ed3*%J%t9{E+O{~FR-A`
zhj!HX)bpc+#<Sx2AGbVl<yo=!2Uhgafw6+SRRA4!&t!YH#qT3GBm+VW2q;qh(+P_y
zK~&(sJEdQP3i-Oc;V-MV@)4SR^deChUAt<@`nQDwr3ubWCl7NXw_t}lji_x%<KEms
z9SaI{3GOy}E69!F=D#q{{1rhL;Qsyi4`k?L%r_I8<v~lF)(>~z7DG8}mH7_dWS}}<
z$i6YdhazTI{k!cYP{$k-7>SVK-v>rDDyIPY{Z~+RRZ9v5kGX#k?$rQsMac{Onu6#?
zpftmRz6??rW60t!*MKgLZZX>cA#|lH+_0A>i-sx;rOI<OAlH;oxA|5Wg%dMh**VFf
zA(jTqriU8vc-rIS)*_VhYt!IknmoD~qA8Trr2$E*=lk@UMN!rvz1N+i3aH9&CwHC<
z8FHR0k2Lv-qn6wq%R1&tNG@qYY%YlmJO}5D0yQPkGriyj@>69byI=KEjRpnooDG}a
zAt;Sp=f{q)l8GpKPIKRlbqa(y$s|7E*^aVl!u8WnRZ(HYhuo+zDkv-5b0|udMF%Mo
zOYKJL=%A^sjEfizb_jWL9DgW>R3o_+6zWI_k$U9(x@cf5a5vlbtvrhCKXLd!6Eb3X
z@4k9@>;I-nw?Ca<P(a_8c1pJvP>^ula#&rF7W6i@neuH{LfRMA9*hN1QPa7N_vsDV
z@HBr{#;rZdNTq#`**FsorG0XFqsOERt&I;_E(NI|-rHXXd;@6c{^n`Lv#xq@<dSIL
zVhRzR5I*^N?;9G@EIe;#*P{=&H*Sep=c=NXNHOiAK^poXawV1Jm?3cNR4RaUHKZK$
z*V?<4hAc844m?>m0+s~VLO7+440Kl(xgu$3iy#9Zq?y3+x}RxvVkG2qNU>Ipk%p4$
zE&r=h#h@=eBfai635|Qk^$P5yB3+ALt+NLJMh7#f@Qs9&9@*Vid`3pYZ=7ZrSj|8=
zG`srs5((M7qEzvRl2Ec#-lNO+%s?{euh*ToBy>1ZWsYZ66)o^PDb{VL!-tTkMdv+8
zC`PV3-qBPA)s!Ar3XY@$bEJ71xn3RRR`<C2dn+Oq4!m`!kq#Qcjl&<N)lkLM_MObh
za%h#|JY`_ZE59f_KCyFL6}76<4*a|=jZ}HH?sUx2!BM4if$=2~#it+Jm+CBrdQ5jD
zc=pp_+rCok11D8bgOEeKae@#^?;xC&EThB2={K5;49dvo)N%Em^Sr2ZHf((96dh{b
zYUw_US47RR*Lg3^vLTZ?rwn#UIy49m?aSa+K%Y5I{1uF1K=touBrN_j1F^@KqS=$=
z(5A<9=^e)vTs7DqsXLm1#R-)`7YSMPr7UGy$ZHChI_m6II}2ba{_SG^F=@p5-ei?4
zZ2(v3<YWkm0Ju+E+R6D?0@c*K;<IqC#v8_mtBr*KBpc>?*%ic46DL7LD-B_~+~4mm
zTVs%YmF;S4?KX72d=t-j)`i`g`>K34z!YA45^1g1g;0J<f61n9ANIg1(O~CY6X-t4
zXe$yYfDG2O_Nd()#Ox$u1`f9ygUhbvbk$>gC|y3vEy?2x#vk;&Q-aMH)?QtH9mCCy
zxc0Q!N|_I0LBTa&5ZwqKMQ}2I;pISJuu#8N*oRdpMXB4y7(!fRq*<p28+y1m*iUD!
z2OF3QK3UXe0A~v-HeK0R&}L7h)2Lr3*7GumeoxW>=F2)_6c!lK)A3b4)Y5{{;&tJl
zpFZTm6r{;8Ac0i7u1iccSfb(gg6qwCVEk9=<59s4JoVTY(V&=gZ0&HCv4D~uJmDd_
zlN^5I<mR(FBE$-u<we<T`>VQ8B`wKxkZ}!vWGixnz|nxa&5G;F&*}i5Rr5<Atl)PK
zMf>g!ZpTA|1^(GO>cA}TLL{HtFZ^bXiE`?x9{j3w&(0?;+AyWMr=W;=3Ey!gCzDBV
z0O$79%#}6PhGOT1@aoA0eC>Vhs=VVc9xPdO;c}(cmS=fPzU5uOjk+2nxKu~+qPFh;
zO37MqobuFN!e<`GcbBAB|NV|DoNT*wy-X8KROjYT&&}btBh_`~`hMUK&ZtgvQ8gi4
zW>;<9i8-A3TH9cvehL?9RP_{iL4%9ii2~AEb9gU}$IPLA7LU^y;Yz@0;NVk{_Skj~
zAB!;?lAD{ydAemByxvnGGP^cz;@KSj#UuUR#`Q&ffodU{<wAwytG|j#w0WGbTqr}1
z{tJJ3#n^%}Oo7_JoZlTv=JCvtwzH4;R`9HUx_QMs6woTVS7K|qfY0rz{r2bgD*k=s
z#JdbLGJH63wS0nc5#Jkb$M%%{H+~aeNLmTi0MpIK>;c1zxXlBGz#5ak_|9_G#rhf&
zSicT(s2EwoKRqA&>T+)rSG#|U#K}SeI?o5W0k&nlY3RVk%uEI}?MCGu+^-Jgs=w#b
z_OIaW&R-Mr|1qKi%{O8l9;g8iU88cPeiaY+H#)-^!;J2F1e6sqs=>F()reTPb(~)|
zrO!r#6@8tUU?+I00!^wPVQPPHaeF;y>R&e0Pr7odu8j!Fd|D?{6gP03Ixtkb%#KnL
zrVkloMDX?wkvVPu51--|A-l_PAziUv&V?!!c$phP$^62Ax*jFkH(umH;+}V%Lyc6x
zADJKXqB0@Iu&DLl1b!59+dkk<voaifHz7D!z>Ma?HquJ`1rT*T<Bq<oGJIO`i(4>Z
zMf!eM;&*QdA}1>)%RmNYI2_i|JGIG%q=sZDU&@5hla<=z1&_D<@sPxG`zdxbX4&{(
zSgZ*0?3UQ)>#GDuZWf$bX5&JY8%$n~*TfLh?EsB>BPB2?{km`PAP?I2?m%Q-jRY#I
zl^5EOQi6|in|rMX`4Ibp=$fyrG@1$AnKvq=1kG{U#}4ilK$vz?Zfezb<Xj~^UaO!4
zrl)1p@eV;08x%T@%;nG#EBnvq_bI{Yh!*L4=Y-LlmZBpe&GIPT#3?-Xt`Y<(Fs+K4
zh@c~)Vp!)%MPyfJyFwIFh6}&{*~pQ^&_Byq^D~Odi08qd_XnOSLxo4T`(ASibpH6;
zJq&+UkmUZ8Y_)MJP?8aDToomSyfxHW$EQ?LK#EgB-)$nK{YgAhJ|lxZnD)8$&Z#3C
zX$hlyKUKl@)rBErB#XQ)J$!-~$!H~yk>^ybI_z=Wdyqj|9+l3Yqt9?r(VG-kyKCn)
z;H%`Dep-S8V%#hZyDdaRu1Xel#kCY*W!>l8LQp~>f8)=p@oS>DT|2Fr^=L3pZY2BM
zP)4Jx96s)An&=G8VCf022@^TR=ZwUO=t1^PifgSFswghg`g&0tUUaf?SKn7fMZ*4#
z3$EIz{r2-;tH*U=S;*kyD@k?KX63VL*`STi+{&pXhU$Z99gAN`I0@}a7>WBZrj0h{
zI(6Eg7y>S3A@&c~*vjRLhUDkkXfS)k-D2Gs^o?@xybdx-o1gY6Bx|F!a*Ht;a}2m{
z+AjBPamhI$oBWbJT8Mk+1r5$O0EutKzGjF~(fD-&&xU{|^056oh&7nO6-|3SvMv<`
zQ{Ow9U!@|&Z1JUMkLZATGlXs<Qqh-5O&6>48t6@LnURODIdo)g$lCN%kap(xzdVtu
zh%x@){+fU0prPdTxtN=Ry1s26#$1)qHF?TEM>h+wXDTeVn$bY7juI4E_2tmJpJvH=
zH!Yx!|8ZP(3<*&tpRhUmOCWRpsI=2t^Izk6XKlZ!AqwiQlV;iCO})_6D<>>KI>hMK
zSAJDAlEE@mSiz1S$zRBdmb8HD9h^n2+f@)H%gWz^@*B_Xv|LwwVGao!#AB;cN=P=`
zH}Alie*FHryZ@kxIfSa!uJUYCKwXcm*Dm*d!*-p`fA98+4!5#o4*wODL)~BZ>(;BR
zU|D74EL$=ii2nW!UYHEJoT$qFa_JxDR(bCVcdi)(^7~!Hq9ss<)xJe?HZwGjzdYV6
zYzC~&u~p|bMNo`yI~GS}gEKprvL+G$IwqK-5}pa6EY%8Y?MVXoUdb}gB>?PG*iaBG
z;YUt6LzO>P+2Mq|=+Q(0479wKp4%fXWM}1NSsKX!PCdH2t+t!O`Zscd&?7dq$2N2|
zs*D5v35A|LrEdZcFdO=mAQOtIxn@|A#sSUts4d0C7$oXScvA-d;O#Neo67baVBYvl
zMK-|*mP5#l$4>vk`C|#zv~_l{n%$T>TyF?|@AliXU7f-QqJ?{8Z?l6S`O@o17DM=j
zVkM544B^;gO`S!3cF5~eQkt?cfTsc{O;;!C@r^*T^TY%JbeK;L%-z+8`wdk&60|xj
z;_dW9zET3jo!drWTGfMdSEZ@e)PAhs&>VVml>kP%!a79<^}t)`AgsO{!~O>V0RR6C
zmv=bTZ5YSxz4y*u=inU2%;9%iNoGruT||k{5G6!IwusCokzPq;<UB@586jI{Mk1M+
zz5c!bxUc)Vp6mPlJRf=yg@(CsMtFQ6yD_Lz3j%y&KT0;wVNr_%H{&xI;hk@KrnH<E
zyl#m4b&3BE7Iy8C%V<9%80UFja!b(!3)=6W_cN_vqjsFMiF!<sOt))9&8i6rK8;D9
zpVlzex8?e~bxd$u;BWO{lm;MA-=EuOHZb4APeqRVGlNfRfm|=W2GED!oZy?<!tQm5
zSiCV~f%~im0Y9Qi5b)5Uc;0Rodv9<=UDJ#eRs+*N((;pl)`N(@<w^x=RpBvW{%nx$
z_Q-VqGj;F@Ws=HBrG~VBZ8usP*+FVm;9#bXI^Y+Id&j@hK(e{s^Dc8v7<McBcCeEO
zCe-(<j0ET)M)jC2O(+-SpAro}?@xr*G^e)#XX#<EhdH;zj~mSFUM1=a5TUT!?JV6V
z2B^1G&=U*cfp!Lg2*z3h{B>M+^D$roqV5;}>yLRsDNm|PI)DJYRmL66pP9kpcv*+y
zBp)1|v?XmT5#ZlD?<e>GRyh2x!TFwv0Gvt|SjBa!K}3id64qvi8KX6Gt_DFMtE$cO
zyQ;yTvify4aZcbqx^qqSj4;pyD^tt-Qw7Uc$3!xdxqu<(xr2$kDEtejO5Z6~g$Q7&
zc6r4O5hsta#<7Zn$v?xA2Uk@gGB!NWet-u`afLg~{QIEr9pOLe<EkK+GRLzm!3Xnl
zbV08kOF~S2b~?#Y7218;m|ukOgIJ{vm&Io(s3~)lFK|(X?BK$==syB*|G20PFQW`}
zeWnYoOHu_N(-&;{;X)96gU=H?CJPm(Zd~D>RfPv1GqPUeMPS^RrQP?99Joqf4-NHH
z1OM*W>e(exh>LUo6)L6xM(GB$8H@zT;t%8A*DVh28*!Iik`#gKt?KvYKmr6T$@h4-
z?}OwR;`vDqWvEWcYTVc$z~c3C>$`s>;f|qkPFf5O-lkp>J(x*^dETo5I0k9(?-@@>
zp;H0*(s`X^M|FtvDJ8#<kpbqe2-mZ|s&FVW<Cra(1Pi4eG&W|kP$J%1M~~FNrCK-M
zmaGBJVRSw3F35pc{yn?3D+J)aSc7gjYJyC|q+)84JRD}~RVrR30H4K`*2D}gSSnQf
z(pjtk0)a{Q0*@0xR|H3HU(<&7=F{C_b&4>qFH02`PXrq^)0GBqT`<a>ZlbSMf}<)7
zh0$3=C}`AcRa)2&k1|jCT0U0>yAPo!Y=Vh!F<)kKID`zZ2@c8JUO1pWdiXA0nh3e4
zr7a|w4ItnUJUc*xhp%58?vy1H;1z3Y)>1SE9%|?LBQM~gqmg~#aIP8*2+t<X1_Ou`
zFY1Lq!^8E;R!4HV3ZzUmAJgAw2>&ILI3l0oK{fZ9?eaAoEY1^(Jc<nAk|!T~r57IF
zRM?d7Y$`&pk*>&5DI>U+?X7!Z1qTNN+_dy;<>6-jFL(1GBiL{~5W;4T1O5lKAB7TS
zp!ybvIL8|!_^Z@*k^a0gG?hhozvz|(jN+j+_t^+8Ufw9b<f;Vf_6;GgUBuw57XP_B
zEk-b2f3l{Wpa^th&E+;;f)Kpot(yIx5rlB?JXx5K2glIy#EfAcDEqnK^gPrEB;REd
zZbZm|e37<v&trB7y|3Err)LC_V?)yq`DB5Cyp^<=!T{p&^d9}QhH%rldFRJtX=rJk
z=wf(81xET)7o%bg;Y3zCwLVb_+MM)XUoc<C)LvfddZT0rjh0I=pRf-!Jqt|56Be-E
z-_3&iY5{b$l@zM`#GqNz$c&k09GeLH5XWo>U~e@w;$|oUSxxU`=XX1>&FPkHr)~`P
zeNU)z>=1;-lscEc4KJ}HV)VZ6cMRaw`Os>Yd;G9lBy#gw#CwYPAt}WjB?BNld(<80
z%L@$}r?1lFHc_PI(uRB-^x>9;pduxV8>)zdkKePjQsn;5vVDywLzkWVoX<^8Ag{9*
zR=jJaoI9oe=uwLvXq?Du{&I{B4t~h?Hh9@W(Tif1*<#Uy+rFI1#-Yp*aQ3h0Ze0U~
z(SS*6!*)MtgxKw*tTTXS^pohv0Tq;(+CK8lOkGfG{wTFpMF$NkH+nYzrcqoJOk&Q?
z>j0@{UdE)62I8i>?_F|vjmg~9jJRd21HVby1S4*05GV=P8t19UqNBn3ake(x->HZU
zR{Mwj%HNWZ<7&s22r5V7ceQ|yI?vbs<u>*QlL<{N{)RR7XlP5E)`EMRyLPd+H?gJ0
z54J7KgV^IEEu7L{G~rXieF^27zt}nxMKDfw45LkG>I=}-1l1yg%WG!qSk(fv+grOy
zEO=@)^;dxgh(6CWxgoZO9no;JUr(6Et{pf@_LI~AOJd0}9?ey3<MqA4#&16{nmYNw
z@989{F>dMYyuX6&@O0YHDlK5y!Pf3lf+T1^bKm%h=n6I?5$Q0}w1{OKate}8Q-_Mw
z8#%J0%UE&xZ$x`{2}{v?XwojG4jZ%Oy5--Nv2P3{9yj|HEbsL{ccJG*h!c&D@Y-0$
zhI;M_HIdga>igoMe+Wb<|GD$x_rVp+3$I3T(EW=IT(I#vj0ixU@^N`qw}PF1K;52r
zWD|?wRkv0@N`PDYFC4n+v5J+hvMQ^`ZevpA;f%6fYLH}z@y!v|Fsm=Tb4M3;F*cnS
zLz4_@a8B$;Du>)UHY0xTcgY7TsPTIyR%)mUB~KkVf{gxR(#^s1!s0Z0IUTfrc}oSR
zchr3iqc<=P;{d&@X|!M)f5>^}3m&Y^&-BypZepoqhaq7SJ=mnW=|2_6Lj>~$;%Lq`
z#zMs{6tl<xD|hWbh+V-!gs=OHa{;?p{zTH&!)_)h6v?wJ>`{gl`M@L>G8LE}ZMtGH
z!2&V%M{ZSP$`D|rtwTOV4f(a&|7}UKL$276b^jYB5PPB9)&GzNI@B-Fm?d#STgBt?
z0u?2&zhN<RcZC+5tEg|YNN@uokU5&FR1x-F556-LNDpyaq?u2NJn)d|c1Vw@BDB0P
za48UC1h&RImxUDgAT}Z3v(uyk5ME|aGfy$WT@TOajidY!ZM*V_K2ZTIg>Fe68DRmX
zdmC+~wSquXTmLZ1N&y^y+}Gx3Vh0Jfkvk1vgn=NC*)=Pw0GDNOy258Tfl7h9xSmc7
zW-Qvra(3lG&MwE{#TFNs)q2_6_(;IXsXUsfzw!|DAJ_JPI}ZeOI4bo-NJ4@#{p<>x
z0{GyLCl}4~f+kI#ulcMLoZfk5(}yX5pe{L$D~TWCUOY5g^_BsbmkB~8DGI=H?C`^O
zCqY<ZSZ%1FlLM)|G{%>_iZD4i`rhAK817UZ;V*hG5ByitE$>ql;nyx9kJm#K_=D7Q
z`fn*h^3%5)O*u*smeK2`{X`u41itDnx+?>_xitA?l`<Ttsq|=|k%YQI{<+__c);(j
zcccmL@q=7||9n6Sl1}S0H62g|b~~NTwOSQ$mRr)KWJp6(?(;{%;slTpdX;v+N)1}?
z8h<nYCj*td=d821h(O6A_K_Kg&?l``w!6pQXUo0Tq*WqFKcLb{*yFfB#Nb)gz5btg
zz$vd*r@qH;!qwO@5}+0G`&xTN7_i`4(7Qkar*~9>><=^{(OV~3zDWsQUt)HUo!iTE
zhQQC07qvm4>{pMy91cVcdZR)K8ZaTD&-&6&7Zl%(Y;k+z;fY<2M2@-!ga>p6*51*B
z_O|@nig#3CiuR9J(+mmNqs`sc3-m#DIcT5EB~{RBwfT0ziUjpsIJ&H63@+hJ3N~fc
zAaPOfvyY29aG;}|J5vB@AL?7S;?;nebnIcz9>*K%hQ_A4455nycciFD4Ma=?!d;Ej
z_WCpi$MnPq+#>j2r(aV8a|gRieP40V9b5R{qPa07pM165x1<VJ-8Uaw2`NI!g@m!Y
zjm97(+L>V}rV9S@;%Wu@vcR6<@hFDh1d^s6<!Ef<L7<Oy_lmb9tjKa^WNVwi!)8xE
zj!YapI2(%73>Aj%pOTN))J&i((BSAXMrAnJ`Ls=-j0av*yAkVXP2dU9*Q553B3QQB
zb!nI~1AYA#=3HS6?p@yx*agbNsK_<yG4CC$sV_Aw@x<PpVONgbjg^I@TFajxKaDx~
zF&v+oG=hPH)TAfRq@g-73Hy1onX+}afUJ4e2+lfi(Kyygf@Bo&vG}EV%5~=TcJ~QG
zFf%E&v>g_Q{l*blSF6`4+c<0cLr#Xks3&;*go_Bgo&PM^7`RK(t(W8d)C;ilPQ;;z
zR}c)_?Xui+sF7^kZLi^D09_-SEz(qcP{JYpRhCSPdOk;nWEW!4b~$Q#T7etJ+b0ec
z>(ZgqVrqPE%M9QT$z_&ah#g-3Dyc83rbE*ivw69n^?@yK^IX&kCOBiR{v~aa4$TjB
zxP<>CL$EGeu@ws)1j+afjDDs=4+6TS`FP1-8g)tgiZT_vWw2PXyi12jcT*F`P4wXK
z?Q^#h+%~ZL>{ayPI64$BYbxb<b3eTJbf-5+c^R{;bYqCGr$s{?Ay;N<bzyh1TP0Y3
z4vXLsT8%nIiv)ut_?B69fyGk5@4UkpCa`l<X?=?Z84dTTEjj8yY)k>ZhW9I0Op&AU
zEu=wuXNDEdm1;vixmdEsB?a4jzWcV%mj<as)=?I?wLwGuaJTO5Pn3=D5chF&8sug{
zy(@iL3xvORTE7hFr}#a&9*JQzDCYW-$@^hVIH|yOZ}sXp#kzQKY2KCwEe)%1U$D@G
zk$Z4XsC=68uqRpiTo?^%jmdbzTB8BvY`y$|xL=fQDL00}HX8Ka7OK27HDKVGdH=$_
zMN01-)h$hZT10!~RgC)^5*)<`=T#LgQFe|5Q8|90MQ>85$3}=G5a4p~oUB@*C<M-(
zAl{%uiJSYP+RN0T=L6nsqk4_<tXVj`*p?ohNjkBr0P1k>o8{84_kSr)m2s{cW(;WF
zh|_Yql?Y=2PkV9Yo0K0@UiwaF7!l(cJAYnRBB&sH%eOV#6ifLIaj!fkG!)(yUAabp
zQH~ip#hzV?U}4?NG!F|hX^MZfoJfFYwxcbp;Z!I;LMrJ`J}YY6x%Op*NPvAUR;PsW
zs1YBA0w>S2qe}AZ`tiM-4?R$3yfaLLK1K$0o_FR%(kiF>M5)z))6Ol=Opy*<qkJV%
zYPpbP3c8)M=U?mrV+8kTdL-(%zfI*gH>%krCntPTfs!C?m1zb>WWf4&!$_AG&C~46
zHef2?<F7KYlFNi*z5gr^J?29{`WVU$>hX~FjXYm@iUo<(Op7ln3m~(Q1WD3yJj_??
zO@-`dLo$+91~+;H(XCPGLGE=NSe%Kih}mneUOyFv$QQzBaFQuLwg3kvKBvO-b+}L;
zef8jCrYMRkv|N7XkAvVvu~A_!ZuD(<yCkwo9C`k}>ha1N2bmTR%B_ldP;07i!vM7;
zntH^Pal&NJGY&`T{Nmw5-W!zPMtV}n{~T{y-Ekb8Q@KjIoyd>ANZf8zjFv{$vO$-F
zZ{xuD$8bobiXeLRi-X>5K?Y4$bE}38;6P5jMxJLz2wiURIA7x_hi?4#Upi!m2mc$#
zYpLo)5QG2Qu<1YYsLhQmf_CvxZ91L*yh;oSxO`w1k5xnzs)iA%eiir^d~W!^ZV8k^
zgEtS;P(}jc!{>khRE1}1{}{KTB$16n*rSSZ9J*CAIngIZfIqzwZ?gZBLh9U~IV%%X
zP|*eZv-Up-;LU8Re&dHU8ptZS5~ZnzZp_hkntmn17xBv#jB>IlrtR}P#?u7!wyky2
zeq0@<I)~aD&&i>K_APapB1B}<C!XmntO33G46|5?JkmM*>kV}!5d{RP7xZ7&gd0ME
z%0E^WP;OY9#6KN%RPI!*nYF3~yGcGz_|=rqA02T&=6H3~@VF)R!UG+!43B-HVW*5v
zHw;8|yj4e`8&{*tE%rmHbI;N5?l@$bdFA5Y9CdWK74Ze~kU`SPz)jy0kE)Gv7V}o>
zsQo#m!*p05a{FAahcm07tzUH#6?^vx9j@kE%f?{c*QWAfk_xh-=IDDrML?;;W#Q@1
z02Y5UXfuwgAekK<3*J|1sQ6M*OQ)wHELdqj<(XGOYz~qqM5R<vLt#ro3a1fli8o=T
zWh&_8?aX@%M#|`7#ckE7bR%#o8v0R6RzdGRPr5YV6_DLZ3jI2jF=&1tPs$9(qZay?
zBU;-s$SWrdBbyilo%6k0ccXErvD0jSYMUeq8$Z!pc-k0D=iZKdbXG=nK^ckT*F}-#
zLd?tsH)Du@<9G=emCzLJbxHSnew3AKaZS+B7`P7<J{gErK>7K8U7HD9DAFD7D>E8{
z?ws4*hHW{t|76O+=4D1i=wEA3es2W9d=op9PO_-v@6bIi4k}c0(RV@H!3e@eb5>j{
zrBUwR9creLCCaTXqu9(vLpb1JuzWy73d!9}FL^0BN~!6pW`1*Xk82;q{!}yVLxhfD
z{O^cdEZ%_TVJV9t{Iz3vqp~fEytzm>hl7T&v$}%yqz3>Wy#^b^1%;7)TQ-T808&7$
zzhMSDl>d%dKmy<u*__$YMF7dAsD9{OSiqJSV>!K#Vz7PsqeDU;FDm5VpGd6!gS~5}
zj+*f^0Pa(w1+kIbNGzxQ(g6E1HsO8O7$xaLLP-;~WfKQd6_>Snm$Qt?S{zFbt0u$H
zzcaq8vn*(BAYQ_HZ$1^D?t5xp58~w>7DiuSL<%GQ%~k5l*z-R*mBw;<;I;qMYgH>c
z^m1plH|*LH_QQ)rO@C%TDBnBeA$f}$C5ITD(T@FteTkwjIrdT);=Z4IrNFaGd6RYB
z!#ZLSb7sLye_zpouMTgVmWwwiuTytX+}8zcDd7IKLkDyqW%A5<-*2lFp7fuJ-RZwD
z-XY0HrdirxL#O2bIADq5sYX5D;rA0uvRfSq+t|yCWU{sN-vtW85yPHQ*BOlc>T$19
z2QB#Co~+pQd6x3JiO&A`l__jMJK#(X(gb|7;3VnL56VJI#Ex~@B=&mLwwDp72_M>u
zTAQ86D3w;M`!35)V2>0<Xe!e+ATB16K5>4KqDiGgjISHRJa5$%-eJ>#s+FR75={?<
z#s8u{ZQ>|aX;A5Ec8dhE<1TUWLmd<%>JSQ+7{QD-Dyq76)Is>D1^TbHnc{Sqv63ce
z7#kb;gjlYt!<T$p-;=)(C0e=nx+`u76VUarZrve5X-L|3xNs@O$3wPgNn;RuZgk@L
zZp5B%I;+rC4(3p}lDWm069=%g3KoV)Rw5i*yl_r7|27tY{!5i64`5$fIo(Vi65zuF
z9<f%gml#`!x}F$m0MjT0Aw_utu-z!VW$N$_E4%n>{8-=sX2(8~LA<C2?xj5e@gW~D
z-XNP(O`8K))a!_wG>=pv?r*05^8Gq2hw!sPym=7IFtf9Jw8yWdpJ5aYTq9Or)LBLu
z7{V?cZVv3+>*qslnr0eBpD-GY<mbcc-!YX7YqL?hc(7PC_{uEZib*-Vb-MO-1j`*!
z3`x9(1BFfZ`=*v1SlmxlKJB4V%#8P7N>`0Ch)~@!J;d3GiIwJCkXOerv*{>1JhL+J
zTD!Tu812H|*TskBXii{s!W)ln*egL|`AW*0#&4Kpmw8T6&LrlV;=x<^N)f2Ezj-}x
z>cxzE7Wqk9Q&<G$hsPs&McDR{Uw=Q_kEvGpypGtO#!OkBog|%BfQi0>+j^uS?Ebg&
zB{$Y)u|LO8aJqh!hq{Yzu-66OF~?lv$SlQQm_y{pgY0;D;9gHI_bnX7x?fCn?LJ(<
zX6!WUlpo5$(+H8?>-)yBpY>vgw4X0xk6eNu7c$6!Y`@WS`*#yqah|O=S!N02q{sie
z9V`n&=%0+7{}1d;BujJkr)BKz_N(~!OESP|Hj?jrVj6ou-#XZvxr*&Nt_2wS$$*?r
z@Y;;eEaqw(A*=Lw9b33rL{eIm2E!~`35oJKEG_faMAzU3R_3z$FZ8lBRGvC)^<8fP
zGsLy8#vj?n`h=<#PyLgEt(@Uw9bt=@<iCYa<*fg(C>-bdXsi_Ymg~K&V_d?92&Z4;
z7^y){&fzCWNx=mzU+dDcWh_u9i$&rM4O}Yszfx5p3E4Y$nzs^HF~`*OESkG?(CNtF
z^z4KrIGjG#=AONd1@TPSJW5~y13iN~t!w*WZ1C_a;@AeJD`RkeUk4NTwW^-tv)Bid
zg-o1!uG`pky%#K2maM>_7s2gcBmp6hDmJI3{$UGjX__9a9B^?zp5gvJ33&Ojx#h6{
zHPjw!cNB@{f_Gzc?Y>XNK}gC}g7zZ~DF0EcX4d8bx<mNXr+VTrCAt`AlS>C&w^d5~
zxcFeZsPvJ^oESv*zsnUbVt~T#%<-!t0-$Sf`@z04G0?H{C7)Sj0{!13b)hGPfM@m7
z#lBoI$mbU1y5`3UVmt;?yI)0sI%3~%o;PA3|JK)sg}?!#30C@kcg3MMAm04Rycmd!
zbT~0*azXZV$+>utgvj=Vv>In|;0qCp9y`DTc@11P>myRo^3A5*fI|X4&F=ISi}Ha3
zS-|4oQyJLePW{}?xDP6^$I>z40$@7n+?Nq62L;RlVNdarz{~SH*3L!<o*j(0?aNdE
zqXS{0w#-tHy%m_9@Kyxe{wTHtbSMFX`Rb&sj5IjAdie@iio?(k;YepWJdm)M*Eb_&
zpytP!{z*1T@VH*qk4ser-1QjAIvqK1#r?M8iIV~<!5)2lECE=3j=$QmP=NdyV;ToV
z8L0C-n9$rw1f#)=$f-pM7*|^a_4{Svq0i=22rmhg7M$bsD0oO{vE|6kln13J{EcQN
z8t`1C;Krmd0c?$Ro&9|j!Fg2s!p#$!@Yr5x_L+b>kkzorlb{UO9~LOAlC{9$yM$ff
zaSd>vihmi!j)(If*XGj3wcw)X*=tX~YC&Beht1PQ6^IHzjxRN};q>nx1M=az5G1fm
zCGV&PzVek<qhz(=M15^~{ZTS>2waZ8;!FU#;-zKA$9r5EIy$qZjzKmmRw|eyK*UdN
zW67tQaM?-1_6D^fe8qUwk601G{a}}dJWc~v4E_r|dBg~Wy64qgt`i|vRYTp>SRIrF
zx5}cg8^iU!paY|UL{KWRZyVfIgJln1WxoIuaOBRME+7)YSx$0PcwHHs%Y<-3%BFC%
zBIEMgG6G2CKty=49Ne4hu#L|)g=Fey$<&Ml5SFn*;TI&qXJ9|4QHLpL_IGVY98ra_
z{W%O7T>_xEbn<d|gDFHD{YA%TiH9?PYX9Cj%nG(Y9iJbFGzHq*xpN!r%CKnhyX@`h
zHB3MypE+H`6joF6+`9`EV5auksBw1}1!4-%Zzh?*dw+Tf<-PYmb)Na$JBKZboi*!U
znZL#W;9BZfFAY?z8a!k77?4ZHoSXJhV<5G&db6LBgds>vHM3?%vZfv%+zXAMgXSjf
z7hW+4(64AbD8r3p9h|bi(;ERedWN0)PY`sKIzsivc#xe$-<;guKl4h}s*+?fFEF1-
z&m=SQA*(9;VDmNr(bDPswR@b9J5WG7UCxI>O#*GrvAs1cX5A;^nBZn!ya<__ADxY?
z)%y~F!4+GzI8AjL*zBu)?~CV0?>!fIJ_Q*-(<Y<(q0zsXQ=q@0v;;rG`OW2o$LoVp
z^t{TC-Cx-GizN@I*7#7phs^i9cVx((ab1)y?Z)`(4z_--=R+=Am-G5(_28MWa$~9g
zCrT+x=JHw`AL_vKrXXcKSZF%Abm{mH%Hb;A4xB3=qAR8N$zI(LfqJ@jM7KYbA{+iy
zQ++;!JH_F+(y9yZa+jVCd#_WfSH&80l=;w$M4oMPRb9A#P%u+sXq)0xpDyQx<3j;<
z%@bY^b>MYq_9E9b71BsbiJCFwL#-m-Ow~*}AjbIJ+(DTZaW1n3eDLE#3k=3)o#EP0
zHLu5>YDkY<*K~7e%l5povA@EBMjM7R7*vZj8TY)x@kj_iKN4~P6RBt|pxC}A_H!^J
zg8YH9r*Ztq|6Y9>tFRW32V~#JcC#SQaxKqxDFI}}#Qa&{KTUWoHuNMnmJK;IYUq&K
z1<(oh+N;McHKE=kGVQ>ghwl8_;9pGL^HUrCYYU4SP|z<oF15soI^6@pg{}!93A_D5
zVp$sSCEj>ezMBgb1m<a#Toy+7iIzOvVGVd8)o{D?EjQ}dCFqpKh#<KoTfZCZ8t}vX
zAy<1k57MYUbcwn~6iIOev_^K4AhPK9=CQlH$aLs|pewUDN)GxQ(40$xSb>|}zr*-Y
zRcvVd1z!o|bb~W_JctC{Hpk2PqWBTj#z9j2uYJg~pJp=b6bX*joZ_TS6+l8MZVi65
zlIT~0{r)rNBw*bo$JCYzBB#}hJZx!FNO?*0zKbyl_IFeY3y%vS#o;z7@-=Bh{r(xd
z-60aV30Bv}N{AqqC{JSdX&K~yHBVK?g#?lng<i+ciK61$Y*kivvWU8gdviB}1obWU
z-j*N5(9fj4ljYWO=zjnJ0RR6Cmv=Z7d=$s+z4u<1Yma-~YjclXDD7k?l8lU~6lG>p
zN)$y#8L1?t^xl)G5K+l!k}{K!5%K!>`~3bm&+mE8`FuZ7k_-jq4f-(I{6&9EM-E-H
zN1DqVh<F>6Vii{OVe7<QbF~V2ytebqw7k742AtnKw0%1TR#SRLnlC8ex?133A*f+j
zR~c=kkpfGuan)gNikL9{y?mCej$KIvdNq{_yNSgi|EVb9&5kS%S4j<gd@3xjx`hfZ
zMF!eGe=A|zpkw#3X$>S(qE|-_8bI=e4_m)IAs|~Oi&c1yCOWxYDD99ognEUacEq#F
zxNhpZOKgi4MjrL_wi({Y4gBtYc2Gfg=Y}`D?OMnkI%<>s&<Jb|wkr>@5>dpsf1N0+
zjkRT=B8G*=p!=!z`IGvM{9KV*4QM0prg9I?G!u|@Y4GUVsfq`^AI?74)y7+*Jh@V_
zrr>|y^hewmRZMTZV>9+c3oYEL7y2X2K;l)~s_HH^Z18^fO~Y3UE7L31bq|`uQoD<1
zWUU&`=fp9T-_S%uuTb_TXAAhjv!yFxQVkayDsl_&X<$nK&HLP%H29snXON9k9gnJ>
zCtt`=$2V67wI*h1pn0X}WH_rj`bs;ks2i){_`Sf$-P-}yp0E^4d{sl|Uvlg(pAyl1
z^2sH`D*)r09UV*x)bP{_Q?Qnv3Vz7YI#JsT@ako#Iu}_DD^KwMdY47OiE|d|U)KS;
z?{P>M*QlbrbiifLF-0t&3AvLYX$iY?rkg%<tD;Q7nWYIk1-u<RDa1^$goPK~^;>ol
zktk{%M)j9PS*5_^!m^fdq$c{{RI&;d6zyBs5hR6zXWahGaaaPatY9l+wK4{^--+H|
zDUN0j@{<T-0IV%hQWMVzD3bVAS6NjQ4~r!8IyC`^=vOTM>Q%z7utNtpCWY`z$IFMr
zvjE2xj#emrSHxJFfJx+{0P4<;xA{5%JfrBgoBmP29)&oz*nB>e3zV8GVh2bdrOc#p
zDxlbKPmfC%Hy)eqA51wz1OCcg<8L?1Vf&ZeL#rvASgIm>+icPTZu0r&h2_fN++P8$
zum7<lQT^C_@^%Xl(IWT#Hz$RA&V}VT`LW^eKvJvOeRDY6;rZ@nup}B4U*9Gf#)`JW
zJSktq&B2&(sc8$d1csOBdz<yKpw{Gjzlvxxa6jHqDbgT@H@^wrqh_+;XgBLz%4bv1
zS~p03kt~X;*QR;)rLy3T7wLaC+n54V)VkxXND-8>CVpLMX2F!>1(|U*Cg8iv_dsd9
zFb;>0FJ+KfQJ1W^r$XEWcK?`ipxzQfN>|?2D?O}e>3wC3XtFVM9}r=xn-@gM5{ZiL
z%WN1qxFt?v$q4+7fBd#^5ya2hn}@%pvZHU;diGSX5ri}@Sd6_FK*L#rQ1TTH3_bBf
zwRO}GN+x>G*B%kTWYzmQPMw^XF|<<I?PmyDj3V*p6$Mb`E^VwpmK#lDt7J{b44`Ug
zOM+=1KW4n_yPllRgX3q{3-yi|K)_Dp_ICyRNbXQ-Z5QLiQfCg2FMp{(T)2bVQu(n|
zv&rQqoga0tHiVu?r^4QDV=n75etar*Iydl{0IC`9@G?-O0uKD~JU-5k3twGcJZum|
zi5pSZcQsMq`vd#VRZRihb!1jD?2!-_ePxxF_Mm`%agJ~DF#%-Ln-B_kEsTP7jwyr8
z6evF;L6Pbcz~=H(r_vWh@GAcej$e25L6Q)EI?q86^P`ewy7k2Hf{4+Lr@s2o>n@!=
z-y?{|O)+%RX>oiN#J12TuMf%^?nAc0LU`|}mtN_x1a7xZx}7~th5-?~_&YMfc+<SJ
zmdRZTTl0SHs<}mm#}V`4hrbG=#x03J?kQ<3tlatVRU8?5qLi5GABv#q<A7|NTv>eV
z@!h4)iwxR+2|v5bMN#7N;?AGj<?->S<zUJtGVDy1kYTtfh8A}i`e$=D_B6U66wJuL
zG$7IxMi<Alio@48rzxU;{gaV_jeIzvFvE080=4chsq9Zz!uI`^LXwVT@SjVObJUSS
z?--{|mU#r!Zya_|J46P~OBF-Alce$Z=**EbmC9I^K44F~NQNoS+_C2~GRSqCKBx0c
z1!e6&N))~&!-0EqN2-p<;cK?nvdv$K*x1!0d_q|t<OwVFjtmOO_P9rqVO<sb*@CI-
zDf)1$)cjRP_r{(Ui9DH>RL9UCf1@Z&6cCHA&0)W(i1s@Q=r6Q1P;u;2=l2}S#yyWb
zvm;RnJ5wSn|By7X^sM)nj19i@95q+Dbbx>sU$<|PC1|1G_dQFb87dSh#CbSdD`QO8
zaJ%8M77C4B%XUNqaLg6yJ)@w4rulY<pVnyO`9PjCMP-K2xl{50eNhGN$<n#&R2>XM
zS)%k6BhZ67Zo^h0{%~*2@ygV};ndf0-NnYhV)9Ifo~VlNR010(t95Wz@vmCnT@(1e
zO>%URq=vU09OZk`b&zzP_qSV{DO}iA`#9{S8Va^}J5Q?V;G%g@MB|VdWIpE1{A{g`
zx<2v8?BldifI9N1a^4)GV<n6>7pr4)-i`Fki&|K6Upgsk#R6y#yXTz;)lu8`<y-Rr
zP2}Jn8tV8(gRZB1PVT=p{xSG>ay^p<J{{OulII6-HzITD%_ntiaT<O%c~}iCZpHAc
zv;ZVpT^ys9t7D)29kI0<B4!UCXFnon35OVmgs67v7(Sf89MP+cmr@1_Sez{3RNbmt
zRkIpK$@eivY;c>!OCrW7!V*p_MU9@3Rl_zu&GPTOipU#znoItyC47($$<1_C#g1oX
z1wp}bc<-C*uTv?Ou-{Gm^qyEEdYl{id0<KkLq2T#d-J#@G?5>ez0XuZYp3(&78|_i
z5^nqMx6cx!zt4o3Who=Awc0`EjtDxoxCS+9S;8dMwYV;kfCn>JHSco>q3f3+|JHc`
z-L;y3YEeq~m+@oXp<sSgX>CoYxVOPOucm2je?{zj*YxJXQEqJemY3!l2yoT;J*me{
z0T(t`RQ{*Pf$q9j$7*E(8fd#_m2b=8m4(#V3xTY-UeenboKFLeM-gZ1AIV@-Gq)v^
z9WyFs{-NZ|Siq-W-+UK7OQEs+VSmq3MvO?S&t9^%fNKXM8YAQ-@lI;+oq$LNtf{}4
z9eCLsZZ3;>*TsrsTR`1KIrnvXckb_Yr(b3e^4N{Cb4?Tnr*x}FPOs7BS66aw*_r|8
zc1I!oYa*D;lQEEQzDBomSbgbs)fCdkILtHl3nR&QM$T#DeWqjD(_hObAeDDMS<F@l
zvwfF~he_-7pVJCn{VpcpT;3_GvRM%I_FPWSQer@bqtRi0kB#BY(^IZbg9NZA<idle
zy$qP(#G>D=Xbd^?MInhE{3sWeP$PSb5pxdeNm*qWL2_2jdz9uwo!$H51In22wYh=e
z;9o;XOwEhW668f|8M<`BLuNE_+T(RM*bs`H#$Vf*@nG`sIX=r#7Hm1=?)PcL0ERwr
z^6x0%#^@L|zumfQm~~-qL4>yfoFg!Nb|P}4-1%x1at=F2?y7v6_LT}39yhx(4sqdZ
z*#m_cPEK^s-1NZAj|z#G>t98`;KGRYNJFC{E=+i0@Z!ca1-2Y=-OJU_g+2s+UR_5X
zTu!#0|8<H2gU-taj)L6Szr$m~N0bjw>_4Of0u;EW7BH_I&W*3Pq#u9$j~`E7vCrwa
zsSov!XT~~~xv|}iFNDf0h@74Ax4Z20p)Q872XF9TGnZG-F9{+1_1{s>a}yhPmE|$K
zI?0O%lKn#6EQL{dSSI)21v2bg_EKYr;=?aVv%~LWMDXaz!=ZO=$lzi~E~(Aq$Dnr+
zQ!ihO;(^b!ci&b>pe}FhrN6=7!`iYZE*XjAK#?qa{38+w$PDK$5C!oV&)8yNqXbs{
zV9ZjEBf-w9l}^byK@2QCbVhoY6xO?w{i3&#Kzt;@PW7D-+W!8ftj#Hdv&#J@j_M@%
zeB%+NzFio_ng?6%49McN_j1|^9uhnb>|@{8CxTHSde!9T@@Og48_Kex2U(f6<2U|_
z;z;jx!l6+GOwaL|;aJdvn(QHxB2^q8H0kN4FDv2$vb|sPnjSc<Iv!IwD}iwgm#<Ap
z5K!>MkE&EL5=<W>^o`6&V)vyV2NP_Rv0meC#2X6|3>moUIfhGPEnARRW3&q9u%A{X
zo*;qTVxsUkmn`b%mGU|_5^+!Fmssf+Bv^5~<2BGIhb+f*Wi9@x;#%}+Mh6WtT&%Sp
z>9J72J=UcGg;pCr65o5usEiDJMzxWA8j9#M?!P5IQ3D0eF_+mI=!5lISgw++5=NX_
zWn5~~#Ix#hc4<Q!eDAjv6cHn!9DZDx9?`<6GGx17K>_IrgYRBK%7`nk)wj%Rqjl4d
zZC{h9U|C&k{EJToZzxOT2n_2Wqd<wbZ>#~VsE)Y_aS$=Ow>k1$nJ!W<sy(=wWe694
z#3>{$6Y+_A)99Rp9+q$u{w&`!f|9xKKF2?+B6IokDihE{5!zhU;R$01tV^DLa90gu
zUrld%X|0FCbj7F7wKjSq(^->_V0DbVf7y_rpof_+$`wkEnnC2r#c%q&8mKAB;i6EX
zi;<4+@5Mbb2a(9Kwz@P8Buw3Od;dTOFKYT6Fj%mF?$pBFc|#h=_n(hh&oOPxEKD=I
z&JR$gA7jVGr-?_0+j0MtCN>J>c09}j5KB#O@aEM-e5$$avb+Y~5O8X*;<1E(d;9M@
ze%3&zvv+M<<<!uW(ZVAv#1aZ7g}<$z(ZK0dNzR026}+7oi(`$JuyyO}b(2MPOlZj*
ztwI7mDuk^wKP^F>wM$mpMjg#|dKZf%DdM8VRCy?u6%@s%F4+aC;kkkL4x=@4XveFx
zcawk>?AWRwKX+6Wr+5sBuM?&4!B#>(fzb+7Cbv!7_!9BJubPs&8)6u<Bpht_#S#n~
zUz=S86?C~+f5ufs7)@)O>bKvrgzYWwlJ*NIqr-Oh%c<-F*m+~md#;W7pI37SRt_lP
zS;?ud|H`;<<nx0sn#z`t?I2z)cwG^v-iY2P;ATVT55{)1HvqR^X&=f7QNWRoJGA>I
zOt}7dQa>dcKt?NICp}pX)6AJi?`>YAH+spqEXZwm(AgQ!340kt;Wf>G@MU_WfQ6Y|
zJPka<Bp-1TrLgpRz^#z>KlGS=7mif7Sisb<ODsV}0=H6H;yX3x=xj|4i(>2+a9f?R
zXwqH`$vKZqOT&KCcV<USvpAYVce(B;V~z+WCSR>Sc4CIE<g;Rudd>_keY3tSvL=LW
z#D-Eq<r%u*DZ@$M52g^_AQ8oPUJ#YWHP*iGo}tH{vDq!DZVGvNFSdfC0J^K3`D?N`
zL%&mQx^F4k1ga@V%Xqi*;i<2DF=F$->3danSCM**p{~oax^Ei~9!rwX<}{n5`ycPz
z@=4Pet{qzXmUNyA<(Q&(j6R*GUyq^OWKK5%S6(B&1R+kmpfLL*?BoLdkC{b$>9iq`
zJ|%or?qtV}dQ{7@e~CWK8yV8D#}Lf^tG?0k9~;UX7n_FQzw~Rjb!POR8Njul1fG>|
zte60I|I!Or>F3`zHwaS<pecWGF36Y_OANyvzWTXFUu_8_Iag94KG;4~zKI2sE!b`d
z-C@Ag>-*}4m8eik3Ao@Hz=F~T5(|9(GUAceU5;JF6bL_lf34ku1(TMkl^^yn<7|yl
zq8Nb!YZaH8Jxo~8W{=wY#pf)@m~n-<wNf9HyxbfPyRsmy>`C86CpLVrdB${{q7NA(
zd9_!ISkSh@fIKzMj@5C3nguOnklc4^oQatg?^ZcIh%Mp7RjQ2PtP2^)ucQnYQ(5u9
zL(Ws8QQXL|FP<bdOM?BUr$3O$Y^a@a=jDULyciO(eim{_a6LL9rfG!@MLT;9O5*vE
zt!Q7>HGLB7+B_`x`v*Jj$q633_EiAwZ|tp({ip{Wy(-V6<~i_3urx_jR0tEQ-YV&*
z>p?}Z&0}*FF5K~9cYlVrFxsnd?;&io<o3{a<|m`MaZ|$6L(?rHct3c2=eb2)$V+EE
zS@wqq-8LN@SFsVpR#WX}-xyu^$#x;?(1y3iYKIp{eHF+3R_3;X!n(lXY7D!`0vIln
z@Z|bsNz8W$OOk)212U0^T@7^vk$>vb<%mdWT<camw)dzG1bvF0odF@t3<;^`3718J
zH|^*PYaI}>^b)!fD2)CyiHn8j<k6zYU9m$$2jYsV)0}RLV8)}n_d_QX&|4!YS5Qj_
zMjyq7^6-jb!9>N$e;XVqkY<`LanOOw92K6;N#bbF`leQP!!y`y6Aye!)q#u8Vh5F^
zBvGojYhv!9GH&rsQi%Df1J4hiGr!a>g_8yW1xvC-%*ysOO*^3rajaaI6fVhNnl?!E
zWUJy=-{w-Hq#k(nl&err%b|Wr*oqRjIy&U#yGds00qsJk?kiBhuo;~+zjO_3>OOj;
zTb2ax|LC%aZ&kz>nMG{(xwP=a!*e>G?Ia)${_7s`Q^NXn8TDHm9#NqBj4NZq*V_5w
zwyz}-@W_bQ?j55#_@|KV{EajEKo=b?iKte_8xxuNsT<r8-(lZmlR<&u%*0zMZ&Yxb
zTkm{Sr5?6L>NPGtpaReHf5w#y8~h5^Ju)m$!YmH^c`hbHIOfzoa7aiE#n||q7LJlI
z+5L>1vA+>KioEZWE3b}a^Q6BkB_xz!`D+n1Yz*o9B#1l2HLy1>!}d!t32jDJZF+-D
zfwH-?<It=II`TCfejY@^=G&^e`TxvdaI=wWTBRng9V$F`n~8*L6+T{3X%_H7Q1sDL
zsupU0QmFd3Uk?{rlGONF0B~B>c_K#(Jvk*v4U)Qen%+Dbbsr$(c?>hLK?`sFvZ<*T
z&_*+t;<uwaEg{KAXYc0gT6m~l=x*vm4gBQ!aPPT6OR#DwO4iu5;f)7r@3mCa&>Anj
ze`ae1IvxapwpW@MnBpt#AFP7k8CXJ0a;<>Bqp`-0UlZ30T{C~(R6_qZ^3P10t>CX&
zEq9%Q22wn}ePjA0k2Ytoeb0Pr1ufd`H>%jxkwfyMn}3-Up3c%|uxhh{a~!FD6CJ9^
zVEeW(^Q9<qS?^9fP+<k0@y*69kwkP>8`fmoFNjNi1Duybtf0Smxuk+u1wA&){z+fr
z!qa`EwpS`v&~x6m=hhVh{)@lH_7qr<^5lp4+t-#L86-p5qN;?C#vHx`lm5{qi3w%K
zp_X86P#7-!Kmp6t3i_y{bM&46W~tI#mS7^PS|v~-hZgrds2cNQ^xLVpS)h1>`=4av
ztY)N9HsVZL_18gqxOnAmEy{*Bo!)Mg?IVe`3Bgrw+@8^yW`h3k=FlKIbzP)?RSd_%
z&J+yVm(d*8TZxw%Ex_e^=W*+15tMxxKu9FE(jLe<$zJ+l4yT-@UY@KM!cA5Bw06%f
z+O}BT&x#V}&`P=(G4pn#4+l$Iny~lK#?qz}KW{YypTUR{b>PF6lHK+GwcWJ0_eTyY
zr<+2R)6Q9aU2cpuV0|!e(@DE3P}wKcX#zX8Id8HF<G{|QIz6%c=QQP4x{akGCXk;$
zcWZ!=4L$vOzVR|O(Vj*>4QkwP3@gh6?-oBWqs<34-$cb?8rPM?QMLLF4?1-;@4yBR
zoRXqriwmpi5i?`=klP5HBjUB+?q$G3|CzU+Kh;ccJ>^}n<&Yt~cy6*u_47ZvuwQp-
z$*C@SeitdVsLcS_UXhp_qE_hccCyo|UcGddV888gx(3it)o`#VWSM?VfIQQm`++{~
z=MddlKm`Zu*QRd&Ez*<1lI*%CzS4{Lb6<Alpu(`eCtI|~0=*}yCB;{8gx(aOvYYiJ
z1u|I~yBci%&`--tt`Ay_(%oI{$hE)qVeNHFZGP}P-7Y<vi7#q`9z%QLW*nps15(g=
z<jox2JfvZh-s7Kix7S5pSsPx{baXSz_K-PxweEG+7pXJ!DpmL8OF?9y3pVfLH=m>L
z*_2UUYc)&nzU(n+y}=_VQ40dabdD}}ye++xd!GJhpY>GyNfH=M98Fp9o1<^)`?|C|
z_J_WBRk3Ol2MHqj_<oZg&(X!%G&)^BFVef2#lNTL>%pCow=aE+=jo9%f(LzPmg)Ol
zv##4|>4EGn>xm0r=ILGMY}@+@t8|z<{AVgz7jhRx#t+{5L%;BE;#_;o8a<aD!(!5;
z14Prb1MAlp=owsYEIn}ynD3HRab`&yS~*t3IG--k1uWlip8v#%JH)qy_nB(LrLaF1
zcR7~nZd{&J^WDs-aYK}2f3g<Tl@&iPIr*2~wfnZ4+!PCLA$%0s+OG+n{YiJ3Wmf5h
zRaOE|%GppkyOREeqzNoOs2?-+kN!J~$!jQy1K;Hz$~~N`0YZMiI>|HZ^r2g))$((=
zkZ<kN^1grSV7*@G<txgF_3ZZ_8?^JFe(s<bB~%^6n(QLT+n6xen^nuhkRN4b-pLkE
zse#b?Esy>xW{h(h_c%E%fHnqitpXy{AoSVqqd!$yu|cQ?rM-pFzAbBi3ac8V$>{%c
zY-hue`aTiIIbmFo`+i!ZOck6y-YpWi$brKpY}Bt+qUgk)Y4>QGDg;ruBlFX_&}BfK
z(2^>S850I66FjOQJa~l=bC(Bs|J@z`c3u+8IfONu2Z<2#@!D)A7eC%rUI3XkY0SHs
z<z3lCgzsNd<9s>=u*0C3D61=nhD<kkkKZRkW=3DGw7w9Q?N})&IiP^&b*{fld`Sem
z;_vRU4~5aefXZLjriep{FBI#SiE!*0Lv4zeC?5WB<cX~VVS_L6lSx}tp?cO$PDDc-
zS%0;=?D(#XlkJ}z6xviFHqVH&QBo3{MaQnNUnb&i!Bx#&;c8IMzcPALR~k*@-v?(N
zR6}u{Hx~KM>L5pEPl*kZMVTr3^ZWK1ICkPD^B;c=7zo#S$J8y4d3F3rrAAt4o)mHL
zL$fB-e5O7L*HXmm3DnmCWF1UYv=aL4uMHn=ef~~~SHjV`!<TzS^>B6O@OK+eUGVg7
zU1J#~U{E7vhY}A76I}90#_#oDZ+1;r+Fljxm*G`OpWoo-@0wR>nq+9$BiEz;nuy0w
z+a6?mPDU|nn*fnJ`jF6ZC34VS4L$akSSm*8<MZ7nJ>Pt&z~o@JMdXn>21Z%5URc)0
zUAR0P4Td0QC))g0MiaAF<{vfLP|$d@yT7HCG1M;F<~;Y)Lg&^Tg;FO927T3!SN1do
zYX4%&%~Wj+Rk$ah#X-S3-oI~BlFh-8Fh%V>rGq}pnveX#^l_igQgmGv4fdyhh~}c`
zVr!Kd$FpQIR+QN~e*6I7**>qirCb+l+%!+DIg(INwkl`+l_l&sGO5w~QWt|gyOv*E
z(8VR@@RMh+S;5Jikj&2oy67t1rdg|?g#)El|IpDI#4cJHnu+ToF}lNF)msg7L$#0X
zd}R$&X&i(cYaP^hd!_U4No6eD`{(^LIU69PU$&4{(Z*Qu@R5ou3iw-{(=^-K2DsST
zWldT)dPQTx&bpV9cugTX?W4I36zbM0#pr5axqO`CrXNBmU6NP#QOE`q?cS4GL)9?k
z*@^we5u6xRxh<HXZDXGImB*~}h*+J_Y$<>EA6=)u^o^FkH9SA-VqI3Fj8@McxL!>D
zK^N9`u;!n)f>*@?9|Gt~$P&R9$|KQ9JGq+m{CcDn{J6($d8S_h<;hiL!)(83uRdH#
zo|v(Oz&-sMd<=5<YV<VC>&_BQWlwn4V1Olr5{4FYj!R+8Jh%G$v+FeN+Tm=UZvgKc
z&--5|h~rNd%^R9jCZHy3q-A;mv^4EdHDeb+#r@e6MuW_-JNCBB9y$%)|I0d8Nfg9h
zYqux<pIBf=PvywmOAD~8yXeKh#)}n`#d6}ltWdk{QOnhj=8yzRO6rCjDE~37$Rmpt
z<^(MYj{M!|X{>&|Z6BHOt(M+@8pl{crfJuJqLLX%wA`=kA6ln-&Bw6bqOii3&2{A_
zJ58aOweeJH{}SEfKjWIgeipbopH!lpX##=TA;t$XXX!(Bd=_lsEa3iG;HA}TV+i^5
ziSg{`aeCqQqg-L!Ea0Q0>$@sp498qFw~OEVLf_Hkc;xLZW;j{u!_^XC1o7j4QrgQq
z=vGc4vVC66&||PJBmLA6)Rc^<J4huo<Esa`<B7~rdsmM$SI!VtCpmxIIo3@xZOCyx
z&&muJ|Mtps#u<Pl^ZhTi9-n9f&OSdo)|o)GHu%Dc2`ZHQ%{P=!8KFIq{>E$~&I}Jq
z2Da>Rp~AlO!S*LZ<1|f&+zH<;%wT(6#9zCE0(ozxy4&7P(_Yt`KZ`A82I`lY`L|XS
z;PY%cVfN@Z?Vw}G)LAJOpw#c3RHN&|l8DMKg{e7O^n^fR&^;DdAlll9fId7_7+hH6
zSfI&1XKt1`!V2pzh=IwiWQY~H^&m%biRL0_sc~&98#uGGOdoS5gMFaM^0dldnk%2g
zZH1leaAotyi1AM(_#XfO|Njh^c{tQv6vq)|4b5OM_8G>$kKOOsOUP1+2yKdr-m+G<
zkey`Tm&h)WQkZKi6)CAK5kf*lQ6XOcp65RI-gECc-}Cv}onLCMRNusAZ^=v21u?@|
zj?(Wh-pa7cmSb)9&=!UtiA(tSh6Q-O$QuVRD+4a>-<?N#bZ~pdYckA|4Z?>uo^;+-
z0_K0Nfo?AJ@LF;F6={tf1V3{eTQE_AGMkAqViE(i{am$|?%fNb`8U{%2Nj`i{tg$@
zyIt_-BhSHN4=&IvtMW5fR0O{1qkc-VOi=W4FtjC#8=7tHrlW5wKvgGK$HVO15GtdU
z7v8=P%9iZMJGSLP&i^W7y%aNa=!EJ&=EuX`E6#J1f%0HgE5FCKp9M-2)gqOWctC22
zyMT^S9$XBi1YhN`!M^R3miJP8z`Dn}=0c7f+^-9(Ka<1(QC$V4DU$@y5&e?fU?K;s
z%yEvs6`WA(zEWb<E&w&m3_MlzaxhhAQ7QL_3w)ucs<WF2cdvaq;M*??huwHG8&vi|
zYgJX=wco-(%!&Sx@I)34?9%1&kHo<N`%@=+?umki%=g9qW?ASrbE;rj#e=hzkN)ti
z7#wqLw}}2E3m%GyZ6uf%Qs1ZUd#f)2`jH>D+=b*|#VAfqhC+Z_M}+No%1L0yV|p#^
zrW}m;%i+H*@&jJ1p~p#562AA#_Lbx0!K1!$HE%!=%tqF@gBqlu-b6z<qhB6AMoBLj
z4hezq;{H%AYiY=BW?jzjQh--d(LeTXiU7-g_1b^GWMHr>T2^F55!^MNzAO<E14*%-
z){33?+V!nHuA)W>(q%VBS<S^^Y4O8NM@#`I{^_wyk;?F>zl@hFR08f48pu-LDT0TD
zu`E}p3Oqf|R{w-X0`ALY6)L4lkcY?hZ4{`2hu+wT2!kY)s;#snTPeeKJtOP%v>Kdg
z5vN)kNr6jeg#gEhGFaO9m|V4@0%nHuw!T4uC$aQ&SBzBP^89R8&_@jjOby#jE|-Q|
zS(o?42CIPWLEV&wYg(`_lI8uoRR%&=20HKGQUM*?m`-n19S9<hg*i0Jg5N8(k10n~
zpd%y0_{lF_i2um)rYuqpvJLCW?9<Bd{`3uj_<DWVU;ctEQA!?ob@z4ksVTz=v*1fw
z$^gQHudk)umWO?&=et?Wlt8=AT&UsiPW<+_u#Q%FC_hiVMK)3Z`nyEE8&w8?`{(jg
zq*5Nn{yQXdCR-LRQp;{VH8O<LN=+{%j>rS{Bn`(@OM&?Ix9(d{48gwr<bk;sIhdp$
zWNXhPgH2yudOoKStY4XWCH+knin#IB=lsRtyP?Cg1u%j+BB5*XlMHm<YGEns5eB2l
zM?*MkBj^udRw5NjLmE^5g^V=<ERO#Y9m0$NUl^#hp-+LF!T|@t6dXjBF!xaKM)17V
zUeF9lf_`qnq*D+FSiSH_%Y17H+?48{;|gR*3z(;S&CUe)6T#N2*A2lhdFr)ziUhQV
zw(QD(yn(en@^$+lU<fH{dgEb##K7~!Ad_{<5*EYq@}FC+0sQ=+_`v3rD425B+JDR#
z#P|*cY>4O^07q%+L6wI>&@8#&GE~<{yZz6{Zs7$$Vs!h6{4)XQG*vh<UiOK0+%IQp
z<1m1k@tK5lIs%9#nhF>;%+Lxp<)la2Fi1?(1m*KQkali3%g=v-_WtYZ$c|BcNR5s?
z^_&3*c@jS!Ug7vb6RCXrTXI_uf`kWSLtk@&pT6OvbjD?xOrhodaY;R(&B;DLoxuTm
zHO7P4Hp?{HEVbA1h%U4O{4ic+fi(@ef7gYUX$eP8KfNEL18shvPL<Z~hMH>UiiDUS
zw5AWdGB2NLgYam~jmz!3fWQ;@d#}e5jhK8|*Na6PoZVN>yqBVfxudxPj_%)SX`I^3
zM{Tv>%-?8P#rl8PLgykgUU{BoAG&f&xlj}CmQUE07X8I?%9{iXzRc2A=F_-qRy82y
zsnV1k_Zrsz^X^gcJ2SNP7rX|+hcsYcifvl|$_iF(VkURWdWz;j3gUIHp~9ZkhT{ix
zeqgb8{%e$woTNo@F^@6rqeAzYf5${<^Vmw%*;Ahd$7xK*$87Wi)gj^Tws%y;SB!G1
zl<U-mPc$oR+~n<y8n9|jHPn%(Fvs~~$JNC_+GNi*KJlm;d<|IklM|W1Oddarc!%E8
z9zLgAwdhfWO^?Har}vIxatSx}hsOJ90Y_@gri@h~WO?ekLjEB3>HTXVUW+$03+a_L
z<u(=gD4vw>{&4_%bi3HJb@LUi;qbjl9s?EFKiYLOtKcoRkd@^THvOEYQQUg+zfNUv
zl1(`_)7y)g2ptNnH|wO`c~Chjdr%qd|2+D_uJQtVHJH$%N@%0S>7-w#yjKF-JfDBc
zhq|yXulP6P>CLp&6@i*VCzZf0CeN*pwH?#a5h}O2|A^MsDf}2etq2{<rF}25Td|P5
zP;dP+^)#Le#-eaGMF>BktRT(u1j`d#NgFe*rR5u#W^`&OK;}`tpRqcPSo!>bEBQeg
zjez%kSb1I^Y*m^}i+JiWg<98RY4b(2e`_)k`wHct!1E#hsi6Cq9q~hbV?{P?FrIC)
ze^eHnl_PF3v{hl#{PNfP%aUmZE5C-Hi^xK7Z`iLfyK?L_mja)oK?JQgGa<M4tPI>N
zGc1@&E5)pV$M3p|C#^Sn^K{z-X|T@HN)PhBi!sWb<}bW-9{WS8@eJK14S!dE;;mm5
zVe1zU<~#`s!{B<v=Y?YwxNGFsTaa3a(OpgMUHTM{`CRPy_~n5V1U*y}8$|_J#J=^<
z_Qz7No5##8%($iC7W$(}F(|;EJv$^)nVyODE>Cm(y&?&#0THAv_5y5)vu%v0D-Ux{
zbfS$6lOaxJQfrD>fE5kiUU|7uh?VpR_w}2QVXD+fK+>}S!(RHg`W4;9=3e+-Zf_vL
z_K#QJa(@<J#gB#_?Qy$@xs-@yCrXhZr0KO+WPKq<Va<KfU{HZgO&V{C<Vk>!KiWJ}
zUW7dt*d8dis>Zy&H*Po(Bw%Fz4WV$L7_&Ya=fZd3J{F{$_JEWo4rX-QVvN)hEU=>U
z^?9}j*!r~mtUI4LyjP$X$MuzB?JrE8_x`NMqLIvA_8c)-v&b?!R8)pJUbr!fV{XJ$
zdP#cg5@HbiWzkctz5<)!T^hM;^%#>Vi&Q4oio#NnRr(N9HRhxFi6gW331*x>y5C7p
z6cXQ#)IG?r#R_Y^0$#_pU|wrR+vd3<(2_ste9@>53(N`rL2r&QO$px5&$@)+pu>?w
zY~lgt<NMP6?`j*i%*B<<_)7?E_>9vpRX1RwZCYQ5eH~c5;oncAQagHzY5!MQ)rfVl
z%x||0cVV-s{nzB(h>%LXvTic<7`rz7Td-ZY8{=hgxzm>~2&*p?p6WP0#dhUOUVB*h
z5_8pd2`T&{00CJBN(XpaF^>DPm&QGMvD3MPg-|&GAa@P*1tlP?D&g8mMT0k3;=$=5
z>p*@um|ZzJtJ{wGlyrX2`STVVA8Tq_>LEbTzw<8&1UfOgT*sdF@psr`tLGsGBm(pf
zPn7+Vdxo*zNpgYh_gKO7y%#bed@z5f0p104V*?wfZa6s(V&FRd@Afz^RO^U)j_rAc
zEs{i%`2P-Ly6uZGE+)KC+|=<kc&ry2%Z}i*_%e!psj4Ce)$H(~`5_0on{Tkoold<&
zN#hvqM}WwPAP=xEU(a}J)Q=qx4+&v&nZ)ks2E9ESkB8d4zlP(~0ZggL>v^5q6c(}V
zD#5c04~gD%4}ZCRz?8#Ox4!1hVEx_FYGc=NU|A&Y6Y**gQ@6W*KUC-&=37%FPg~yy
zL>6b-tH2Q~@N(Hf(dl_C$g;%Z>Ggd;p_%#*`;B2=YlRICZY^SaVh+lVGVFsBf}GPM
z)8p8weJ<xsw3e~5EqQ0ncy1`oCl2YNN$i&P)d@q%pI9UQ?d5qvZm2v`J@w$t6lUdf
zfRo!|6)O|4^cAn=f_hUH^BAG8SlVgjvcq-1vEkXnJOXB1Acq_d_f&tw>OZmc`8ls+
z&V9H3n09l5hD+)C;phcS?|@=F?btsoiK^{k%fSg#;e+*akC!lI>qFO-?dhPK{;HeD
ziM_z%cGz65cp0ncGg-1xW`M#3_mm&a98j-f;AWEd6AP=fw!Uh_2%XM8+V^BQfKggL
z<HNgEjM1g&_<Zti`22QBtGk>XBA+<wmYV;;Y#0*)8zoub(l@RNF+FxjPX4Z~%esMi
zj(+A%*v$@>u}&V^vuse}@cs8sfi0~4bD_YZHYa55v3hZ>mJKq=mAE|}bnrVQHZkEW
zH?YWv-8i4Y2H%L*bK?~ZVEynnF8ve^j#{p{PnNU6jJAAD$xB8kHA`CA%;W*X%NIX;
zFR+1$8*kS&${tAiG+7wINq|=imIo?5*n#A)B7uL!0@6=oXu2;2V8XH_<eoAIgt48<
zxYxuEr!9oP+Px8i<Y0!LFq^%wQCpd~u)zuDb|+c>+!2Mj8`^@~qnr>j&^Sxi%MDFN
zQGJ&@#ep&X1tIG<7d$(o_mT7(2Zjgwxw$WsKx4^sQp#o@G)Jp;r8DuusDMiG{ZdKj
zzxQBBjsp)dliRz``4M1w*N<<zIHVymB}Vcp@Ir!avc8^_Aczw(AMh2+!hcGPsW!X#
zA-0}{fsP;yQ9oE0)6OVBc|0rr{$(PVxgMj|m52hR+C^(+htFe+4xTu5L=@yi{1yvc
z#i4HUhHW@S1voSvvP5RZA*5w_+ee24?7ExZv07DFm&|@`yu<N+e#M{ms!D=`kh6Ta
zqB^va*j$+#q=B7ea+JxC0<8jqmj*Ja;Jw^0d6QKEy31+R!mcvFQhTZM?yv@ARMo1V
z+wl>s<w8quLgk=%_sUAuuqMo_b86{1sX=@xp?Ec20bZ(@|J)Oz1x#xmD$j#7Ai+uc
z{<j_e);W({j^EdU75gNos8MZre6;f9due4bU11X7J*)+9x%j00PUu5gzMjVF4&Ntf
zp0E#f)P$IkL~F$*fGbi}veDiufICSXUu>bm0J)x!m1zjG!~=+nrUHytw6^9W)u4lU
z(ZP^l40k``JTqUYK>x|3Y5RMXp{Aqjbc4MKJa%XJZ!%T|#?B8U*<O$bLTzT#aT8N;
zde^4Py;}vM`E9GNj!D9g?CT|8M@->G&pp*=y2=oHN_IijS`=<cDg81RFaw#7mz-lY
zm4G$$NnD=-9>lh!8u*yafOj!@Ac#c)dL}b|whYmO-Ak2wVGm3}Lx^k}>?8{zc6O9*
z#h0|Q#$JY}(x%{IEXk!1PJt=s3K93W^ax+<fAesV2}}lCj`U}cfq~_t_so;MC^*kS
z(UN8i*B@kNdew?U%732~Hm&h!E-g}Z=8qBdDCx&+)rmmKSF!(OR{4-jEwL2TjDUIQ
z!&tVl0I<i_CxnIxpayj5?=8O_UlWg111LPO_qj(Ar!o-*7Eg40J~IHPey6jy&T+y0
z^-=*|H6b)lyIJ*6+yJb^)RXn`%+RLEAvX6&2+_k<*ian6@d<@Ie<B^!S+B#12_YnZ
zG>OHF5n$#k?=R1n%a~Zt&nf=bLg??|(jsAQ403`t^!sJrVOMV8*gaB(P+c3}Hw7hq
zIJ_yC@i$<Erl`@iTmOI%@>I3ORh-g;V_6<4{FckK50c#d;=hR~`|)oTqjFu4QhYu7
zK5w1I7izvnE+?Xw-bcTD+0p^sqD#U{{`AOiqJK2)ED@PKV2gWlQU^ps=pHR7Ga*a2
z{L~UPBH}94QrCZ{4chJn*#%L|NMYv8mkC}Xx)t$NM(&U{EW5vU42)qz&Y4f-@;Qm<
zIghJ#*n2Jbn)t_N!)PzszIS!TK$M7%N{i9^pV5Nv?^G9UUAa)}R?kS_0U~np55DWW
zr3uEzp8dWS!HuvhUTarkiD>aTYxceZO&Czu?4hRZLkEpG!j`9rNITbdh|ydVF82Jj
z?M%ZVii6mGk7GjUN429Bc~b+z)he65$Ka8#V6zipQV5A~o8!(lYQU?4g<@7;9wf?o
zmYp$77|m=nS@rpAK+>Dp+k1}lBJQu>Sy?qi(9-py%4<eDzN3N4bwQU8*>x8@AKex~
zd^z*_sk|BxaJ9zGl}JGNs(S12i=rsx=2C<03Kg`+%RL`#5)ijdkHwWQqG<P;OTn)X
zRIu3Fh=#`akz<!*%o|rRlo6!g)!s=3u0vNF*E<BzyUHN`lqoUvP9s^DrI`xSZP&tP
zs{~Q0tNFdui{dCrNz0mNr;np>m(NLN5z%9Jo1Cb1ag-AJVOhDG3R+xr`(|T>kkg|O
z??2HJNT_PCp?H)E4^*yda_{8%w<;yoM1X{FGZ(e*{-XkEy7;5obrEFrP4;YYISEC*
ziQD5$(EyWWNB)<(qUdq+%{zQlG71q+d@<py0YkgZ7!sRBQB}w9lxr<ybnrx>kW8Ki
zyvYHHN4jE&weD1Yh@K=WE6iYE`=$XU%9n1sH;bWry356l^^(YRTV7R3UlX<>zn;(4
z7Drl#-?ya+Nugcb1R77SCeRtq7b-Q1qvYooF5mW-LRQyy*)lL`!Rh}tIX}uvpqVch
zeMQ@)P?02WHG_{92sH-3l`fD#n}VMlKK+(LUW55FGxJ&ysqMp6#YRH;Kd$tq@KI2q
zlGh%?bJ}1|-<$L95(yEPYnD7jDCm+$=<N%$+Axvbpo{A!A!pd$nCGCNU4w&8F&;YL
zw)aNR3=bKN@@b^XOiH1~xrALQ3p%hhB~UeHPevpE#bgd-OQEwFJbkAw=z=QK?<4o4
z$td{FSvMmcDKwV|9bI2_!G3}B8B~*z$CGaX;cb%0Sc%FK<D>^YKQ@vdATs*mI())G
zNfPDsa+hax>%qf2=R>_a$SAMv_IddjGTO7^V#p+;5A@cv-_;+Ik(H_i3qwB%-J&tr
ziv{b$^=fr~d>R?)QrOIGck=E@sH4R`(}zFdY|~fHl2Nwj{lq0L3FP)}LsfTMA9R0v
zzr{(B5kvAh{$V$9^mKXPXEX(anRy30h9MHtc%^AXxFv?1d|Qso8)BexL1QZA#?E;H
zZ^9C*MG^i-`DI-T3`Va;pLOCTp*<DLX&rSUs5!51kAxWpQa(MUd?gZy=TrH|B7!gq
zc!ocnu8P6;=z|~b%1WTPaf#CosYJ9pnISoD9|q@F8b?<ucj|#}IRB=cAToLrmm)E(
z4^<3ewm+rB5d*!%`G*tysC7{)Gp9-)9>0Ft5ML;U3~txV1wSI7-L6lC4|wdXuNDhT
z5!mUUlP<GiwS4G9$8blmh(3&pFiAD1h@w7~fNPO2d68p)jcjtS9yD997N>BFBE}E4
zlq_am)PLzQxywfnR-){ES;!)&@6kDb>Ukc-+`djY$gc+gQ$Vc07ndWBCn^i0hYyt=
zo|wlYR=Fp>(4-5I$BmhX%!QD2(4B869*=Zx<NlW0>w;yJ^?3DvL=@`U_o?3skGfY^
zt*@@=fZ>EoOIU><Y9uUZ&&%OapjYV9)p#9%qpst@KLyZd++?i1Bp&%YG-P^GbRZ{I
zm>6XxfL2)Sm)y1R$gy55gt1c_1cSXAp_w1)SDN)joW`TkdiKI$S8WKiHcsN#<3|??
z+a^^?@hC<}ZGYgl7KGk2)jIN)fW$AVFXH~;(XOGy*i!{s@OP7Pk1K$H7F<3)Tyf_?
zl|E55?8aIU$W!8Iu0}viE33(^(>%z5;_W;&rwOkH(q7Fn5KutoQCzGKFG?8HXtGPy
zgv*(}3}}iEoj>|*BaW93`Rd$LL`IrmimyDBHpGX*U#I`!>E=Tm`nyEp*EFE+<Q#!A
z!G~sTa#a(f38>i8+C->E1IBM%eIm2Lhm`mK+y2jyA01W?+j!@p0soS#Z&*nY(8V;q
zMiXrTv`a!>msef`B!?!;urmY{ZqfN6o+60Ou6(+3aFq(rVyM-n4Fu#<T^ss}L_{Xz
z27F^3RG?#$@t5M^NB>NSW?l+H=$_r~zdAb{M;5uT=n~0~#5bj#-WUs`!qi~<4?a||
zY<iPAy+;5gd~ehdcNamL6UB*Qj#T(;&FN#9DS#0D{Yf=*Q53y6cP+(~3WS(o<z+2F
z#585G`FL6sB?KuRyr)Bj?qf?n$G!<7`|TM$*9bAx6rcY2trivj9yEW@RZ2w8$MOYD
zDB|c}&*8Xe11h|#zG?1$SqN!u<)|I*6-QnSs$_jTDp0PuA2!`DjP~A#6J}Q=kVMj!
zg}oOQTIR+$K}G~QcC<tl5=e-H5V0zgwxjdsmdm$UMbWhK{<+GhB;=5_mz`l}Ufhm*
zCbSVQidGy1SFSpeQ8J^412dBb%>9|ulw;WGFMFBPw<}~ctDI47Zm9u(uE?3ihKeEf
zFLjA-VUoyV?O%9Jfd)u)<HNtxi=%|HTDA1uQs~RAD_(P38nC|Gp`0;H9L>BBu<5ui
zg*XJw^Ml+qfyiw<?m{Pln2uk)N#4=byADKh&5$NE*A}0=bWH+X(sv`$t5Hx{on=74
z4(HOBE$j_nmOz(N(vLKHQIL{pI&=01E!c{;5gT_Up&5%sq0h+_^dInqM4r%wy9?%0
zjn7G_g=2aDrECg160sKLIj0Tmv{<4RiHvf5<8~|}1x0k|2J8CkfXhqq%Vk%|=>7d~
zFBp$fP<GY{uO=p4Se@Mye&P`s1#%_+Xk(_JY0Ep7!AZKn<oS8_^Bfu7aA)xf%9TQl
zPIcb}c=bRsj$AayA&F3suXYHp6xwg!*C(8^qvx9?4&fq_D7KoZeb`45!MX4Y+RXY8
zsz05!dnaC!yCi$Em5f5;Upm`(>qDwz9s`A45+$A&`JDWdgfbJ4<tM$=ho6Vme$am<
zqxC@5mP`C3<kSM{Av_p3p|Tq8`#b;lfg{RRO#)3@7`@}P#vmJK<feX(jMQ=?Y0viW
z)K%R~W^Momg<ifTce%(&QYo_f&~Y&|5O^|e?KTEaZ51v~SCG(U&)x&zEsCzbPO-Mh
z+}S6xex^l}grup{hLU_DDCpjlzEKheH|!G5lA0w@?A~m(bT=W?HuKu$fgc9P_79y@
z(2zhnE6lxZU4qDED&M<v=RPWO_EFnAI$vjCFm-0X0Gf-qtKUn+AoE<~yC$MI`eeXl
z%l(~zuDe8g=#A<_S5c*hSF9L<CJ2>l<U@TNB6Z1k^kFPV@iFhZDDrksh`^QbB3^GL
ze{%zUDEb)06Y3#~?%MVbYCPdV!;rh@<JX-z`|PAtS+fXwFBr>Ywu(nC5qF}~qx8VM
zi7tz^Mi@2T(Enw71dpaWf@}LpdT`0IkEyOw2${)#RQo%KLo~*<n)()9@FYxm(H;>|
zp5RyOTR}La$2F&X;IJ;dX$yGs_nja*P<3ZQz!-;ApIG)reA9t5Gd=V#=>^f)uhyr{
zQaCit+?rw#qyvYZ;(W{u1yF}-<CgDEeD(oc)Wzw*f4|muLmEF~zF{PL)&Pg9ey6?>
zE!PG+e9<X`EdqLEmvy)63J$4PUg?MgZD=7)gcSu65JmZc@SkQJYE>3^yEdc+8@H{;
z;@Ai%C8stvP7sftT76zv*x{v(=YIT5b$p1_d5Rwr@W^stjy!_bf?k#S*%c2yBp&M9
z^$*8`=J(r(%RSNrg9<x5MT-w@8G3GwRPvx>jl#|*&YBQR<+*uQkPj`mx;7Aw@FKfI
zoKn$yG-3CGpTQY!KE#=Il!E8vLytmsT{yPG+h$kx-5e0$L%AH056ySxK&1yK;CJ-=
zl^}D0s|FwHs!VIOtS6vt?i#9yga(LOzr!`0<wJ)z(}ter@FPj9QxRhmRA?7q2=_1J
zLmuUy_iLsKpyGJx<tL?7*c;dR-hPu0#WONKbITD#J?Xb^iv33g^~(Fl*4zk4hG#ps
zyN-z59W&^|jj2#xafp3mkbwSGycL`p5JJ`I41x~ARFG#l#I(zeA2m&}8|+~c+2N}~
z6CxcIa7Q-QivIE=@b)`jAu5Uvdb+7u&Z&c5;KdoYB7q&gdE)NSDT*wGZ-2Nnstyb?
zOq>mlf=JQg(&MoUVyIBAubXLD9ZGKh*tIG~M4Q)`>74n+k=2a~;k0pe;LP9^bKCK0
z=P1O5&Ter;V`la&SXPJI7MT0qVIdU72)Mog2}EHxUCia6LS~4{!c?~~>ha4?T9Y9m
zszv|6hT4wrX#B;O-Y$aT>Bjr74wF!Gji*1)IV#X%M7MfQ?#!X1CdybO8P)4&6v^MC
z0zOrNhjUgG?Y)+?yjxBZ3CGQhpWX2<8@A+jMsG0`fD^l}`$7_x3T@(^9?*bdmx4n9
zf5lKrA}*BoxD;ABpclGQr2*P%HOibf#ZmO_BVD;;QfRW6{au!zCQKh5w*fW@#QfYw
zy48Az!^J1Ewo)|V;TFG!Ymx-Q43ntNH561K-?UelpaoNV)K3<0kx;qrT>;-;6qN5j
zGhAM*1;^ISr1)Y;$l`eI1#MAjRBqtCLPynxQL>@@i**wE9{>RV{|uLTSd3j5hg;CT
zO*7N9&oq0xnwj?Iscb2PiiAiMO7$rbS}183k`P*K(PB+XJ!NU7q>?skmb4I})i?h>
z*SXGn-uF81?|0wB84vdeOt?rgG<Pz4W)1)4NF2YriHVagOXVYUxfl~Vr6lQZ19nz6
z`#zR4aeKtERmGzmY<9E=niR7Iqbrli5p!5*;S{jN{Q?KGp6vY<dfFD0J^Qa$*t76L
zpJWUgbI{@5cKhr4b};hF=&iLs3j<2V?ps`7<G=fK>eoAVAYEtW`Rssby^Gt4kues&
z53bZo=Gg;pPOkOUC>DN;yXQ1*$U=Sc4n^)2dpNu$!)|*Z3m;`(+Amzm#6_W9Z8v0v
zK$i%7q`ioRlZ|rA1%3?lyiREM-ynpfk9mZJ@+>T(4CyrQpyT2Q;sw3)LP#*G6FjSC
zqRzI#>$DwuDC^Mg#%vaXOHf6vtS=Lv9CK)0?N7s3B#xiuXCd6ke=c+57X!x`hc7Jj
zr{cP&SNP{gg>WY5W$o2{44hng_Qr=^9b}tnyUhC}1b>3&B9otVRC^poOBL5f$(xCz
z`<sLyd%FGRu`P5Qd=>p%-ANNC=3bjwnJa{slnM)@XL@MT@O)qSWp!+`OuDDAT?k?G
zgGx7>>ES?};X?~k3T9=wFJHwFLdA*^_lQgyjvoo#uJE3WS~K!d&)e;x&GencslQb8
zq3R{aJS5@$-o{D81NPAKyQ<~E1}au_W-Ol967i|}+y&BF_As8V>a-zM7muVkBzgT%
z#Vf?>*YEDyK|_E{lhh6!yhG4?(X&_;vkcx})N-){r<j%!w!1cN{8Ikv_+tXjJ<=mP
z*=q}1)Qoawmucaf<}>m;w-WGVyzznTKwJ1uwR80K(nO)%Un2&GfRF#Y@}HQrfjsBP
z{znlSX!FA0Rj@1p*Ya-XOdPd=dn<KrSrw||Nt5$EGNO6sDg*D0YBq4nmVPYp2L<>2
z+J%h_0zRErQ~UC=HB2w77&c!{!TUZh2kxvTAbGki?1zOlG%Ru*j6yZ+@$OTZ$tPf5
z*>Z|~lNBfoF~7zvQNy#jx73v8s$%&QgWG1Ct-zcW7pnh>jH~Bcu1Jqm#pjx?Xg6sI
zhV{RwE3(OWi`NqEB}qj0yi=1;PFcddvnlCCo5@&6&uut(o`^B8=l2>~Si-m6QN(e3
zGH%vS{b%DsLjNpoM{AD-Y)c;TYc(a~W$EpWGty){q$Dd;injpb<ub*$0y4T9hj*@c
zMaFx-(^VIlTR@9Jb4Q&U8QW#z1l@Plkh}Q(&W=w4(AEu`F^D3gjM^vC+5!qToHS{s
zUKBva<hF#{Rb=eA`?EGJPaQ|DS=k-)5y066^#7y@YPh4sQh7nC25QVknPo5qAf>Qn
zwlhKvpL))f;62ksn$i}_tT8@389yoBJgSC<-|EZfPH3Tl_dH*%IzA9Hot%&FqhO0g
z(lMdA4%Sph?#RvOL%~dqN()gPEqCAdwBE0aqXU(Di;nW4y!&y6c8xkJmuvUQ1W++;
zZA9p^J$(4$x+q5`N&^{3(#KX%Xec4E=;85Qe7LDl<0s>yiC(W3K+!WAKK;3TTSf>U
zu3l8}-ow_y<r?F63=;IPeY;Z7hJ$=KnNjB+Pte94iL}OSCpsGL7%)r7<U=rLu9&@?
z4zAt3-}kUM16MyFcAqNe!w=h<kD<!CctX-D)u5VzV?*Dg=MD0~an7o2FJ&seoXD(8
zh-Bj1>Sm!0TL7u~J$=j^DmI9B?zNlG!pASlXAXo4AdVmBdd7%`wLY8U^4_vAwsDE_
zaJ>K?N4X>?APx7q7JsOTXXCgzSNwpH1;{6Uc#-a|haL0Y+Hck7U}4PFC;jIw;N6w@
zR^}Hy9DjCT8>4`OzgH8*;<PNmKmBxM>OMN2NF;gfCv#DYut72Dk|mJ;su;YP$H27q
zHQJv;xM(9K(R0tz3RG<mrz)f|&^Y@MTc(tYO{9jT|JtqK2I2X+5qTyGG{zRTwsO%>
z_R##Nd#u4S%cE~`EE87-B^q85&3ghzF8gTPK!agNMc)@Du1PC+n^nZc<H0Mv&OWgL
zjWt2V@eVAU%Bl%W+Q!Aczi{lN=)aDY5Zi2>$in)67oNLMad71Pw@Di%JGl1B`n_ot
z3keRU6Mcakj1EyL-d$)1a*T=S;eHmHKF@GsJ!E6G#NBaY8+#aKFgrX4S@^OB?!hPv
zv#a@4C#vk>ZT+seCvRA2M0Q+cEycp5(y(R?Ga-nPBpj5gMd#`7{5LAY#EyfvC^t?B
zA-Zasl5&)V8lUfIyqcz?gi`RuJMV;0_H-<eWXHl`N$Il{19~WZLH~QU0)XoDfz;VP
zCceBdY`VXZh7TgiQ*U$uw8c!1N(C`-Nz1HjZ7CH$?mT3VY=9bDUqhE61{y^DF3h#j
z#b4vMP9I|eSbtG2;%;Q1bb-&tOhau90FwF}bpV~=+u`${&@m+cu$z&sCYJC#h}-4@
zoUux3kYdpBR^?5d>=1QK=A5mbeIbOwX33mY2la5{2UoW(&(-kO6!Dx%vJldHblVDE
z(r|h>=hLCJWc)6%Drd2!5N2FmuLf~xIC$&QRJ1Y)2Rn{t8}!&infd6;Z!uKS_bOg=
zX<QY-IKrkV+#ZaxYwj<(uZ!Qdeaf<wRmJ=VPiQeR_MlT=WBOp94#rA;WZiWpAos4r
zwApDp_!jr*HP2ZagIaA0C2y->@b{;>hIBiC#P7L6t`=I?NBR^wsi2f_=F`>dws6iw
zi#VXEiPdWQ&e9XgNYs`yt~RrUgA2;&m3kVe`+?l;-Kva|1KEz7%56Yx?F;y6ua4Sz
zO|vskmGM_=?EUp%0~zFXb?ZYZXhRG86VR=Um!h7R1k_u@V)I=R2Og;5_NsG_mP)H&
z*ptV6>MCofzbeK!uAzntCncrRm#d(pf<nApzZFy+)hsK_AY-c8e?ETKRWLVd_rJVA
zD@f~<;$P7v;}ElT%1)br?{zGmt(vujz@i6-oF9`=BQwOWEsubhhZ<2QEa8+`g1KEZ
z3BRO2`ln{2iZ1@^#$ydF;qUFOF}iLfoc>z<TR5PKk5BZpmo-?xbl%zT@d6UI|C8@3
zxkyA~pHELCc3OaKQ$@L?83_d=iawKpB>Yt&wOxZ?0qHxhzBh6dJ-26h$SY?uuA@4h
zo_r{PXr*5k=eLnCpHP~tX`zNo9^=@aU;)Uc@2CDgPr~}7v}?sY3i6hI=Kf>}Kx<Wp
zPxl}Ry*FFO9dcC1@vv_8>yLb>VLy5?E!sDzNoaF)lLpGg6Qs^u<HPoy*H|i*WNe+y
z6<kWw#L~GLoyFmNNUzAc)B<W4#`t1zrCAG2@_$mZo%wLKPxJTpS88ZyrNOq)(7~j2
z?d%UsKBT=|_mvw<!N?UGqnq~Vq6@9ET33z_9OcFCEL(N#-L%`IIfRO<;v;T<o!~)t
zX-oSdX$^eg*L465X?QSP>Dc=*9`K573!V&UV8r<QqSz4{Za3U`w{)BbK?!TNdA`&{
z@6_Mb#JhTUL$mhK^jtoyXk8^6-l~OnZn8dEN7K=CTR~VLO_cLf5nU#|+IVzi(PV%N
z13!ACNL>`2U#ilnckOQ-OmL37P_4$q$a4)=+-N>rUuzg?r$EIM2jBdd^PY(?pOqe0
z%ZH4CS9?DfP;ok*b@}2IQO<2oNKqmRK<B^2!qY&*K7X0Qvs>BtR<h&a%x(dE9IL%4
z|AvPA!LINE3J0g$R>ru#7r;&_H|vHdJ)A?ovqJqL2Xm&i|J~ha0pY*?IcVw7@%sM7
z#p)}#$bG&`q2P-JJaU_tsZ~M8WU>2&7aF-Z8h+y$J=zkc#U7{@t!AL6l>TI{fj&yS
z>-X%TTEYG(7uUlB3~W_8YHGhrAM5R!swA4NfWS*>pTCQVr0EapgK7H6VRlISMp;8g
z*~K%0Z%p)`&FZ+8q>m$htN;(b4NM4%$O`LNc=x%z@nRo+Ozlvf=o+?xz!L9IPWM@;
zJvHxKyqrG1sy>)>uD}+CRgMpzlw{+d89~XibS^%am|U#uX$PgNx(a8l*!V#EL{j57
z4*vCvpta4~!8*4hLZ25KeY7}F!sr~#P@HVBKWh)v)nN)^zHF45I+7}7&BoH%yOE|G
zA?z@6DtWk)jZKcvbbNR$v}wo<>&_Fx$)5>(XE|&nk~Z-jDNLjl%sx0U2f$3%WV7QJ
zQO>(X)@cmUG0;?#xW^EnX~$lb^T$}|y?D&K;GQ0)mu}tqb_u|`ZmVsjbQY>D)=AEa
zqG7|g4bf-40Ct4lB4^|?F=KGjW!+LLZg@FO?AZwLDR=2`If04KUhdx%A=JUc7o}CT
zMeChXOM-@WGjPox&3n;OT1be|4AgQ4s1=VHAvMxbf2)@N%rAAEuy^=SV*;>YU4$l&
zLPw>lNofN`3g(Y2+dxzV*wl9Wn9XKAL?h)RtJje6SbwOxd!rCuz5CWBewBuGUgW}`
zZA3gW{Cr3dD1_jYkz9jODvnJyjf}>sqSuYhoj)XnuxsB?ysi}$_biAz*|~*)mLUV%
z;!oJat214XCY5w?m*KVNtOyl6?fa*!PQ?FW`L&PDE3{E8HApwBTp5RUlkRWKwSzv%
zf1y)*w6Lp5FT;}~%IAugYpV3@py0!BUduvF^eeikni8XgU9$-#+&o+O>o}U9&(*;9
z4pDh-(~3C9H^b&0)fPAxBK8c?)lub@=jUS&6>&?CZh+eb8z^Y@(kS6mFrBE~XH=z#
zSEj5RQO5>uiM4j6`>3J3B8__RuOdpz+9cn+U=5X%v6b&~$*77-Tm1Z$@S{e5>1{o0
z(7YIa;_fsFC2AXw@+6fpai~&m!Bs1WTcJGnOE3wS7*0S>fHL;l{3&iRwSt^l;~?WH
zB3`?AEJ*Q#GQKX3`czhF2@l?~mg$K&e$KmjPVpfsSh1Z^?BQw&j$990m$gI;8aM9%
zWdh3E?Y}+!#sY5d;=8lCL~Qjs8ya6jz>$i!?=uk=peFa2YNkv??|12QULICORa40y
z*NCE=fA*O<C{M(j$$=fco<vmG>)f>Jo`}yWt%@BwM7%$wSRZ3e!k+A+kIOa)ptjW`
z=g>kTE+M;FRvD9#to<VPw~PS(?HBG!ixJHY$-y_w)i5CArD<U$A0m{u6<ll~;;gIx
zg%D>7>X-N`wTtpRb?N1!L89L2d$G~gT*Mm>RY}7i_<Sh#sAAu_N<wMlkrCom4ZOU%
zW1;&D51x)_jM<ox@pY`q4cZS)94hjZD{SULDm`QUi|1tQWGM_fxoG43B~~Wk1w5#$
zj6UEHrH1{Awx{^_bTDJVnb&UdJjlJi@{~JJ&`^moRYsxW0;<dW55YWO%-eOMPUH*m
z<FbF{`>A*!e&|H69}fmcX5AM|sbk>5rvZ_LH1v5hL>w2*#as6EuKlTj7wE(9=psHU
z+!U-j8p4ASugIlA)0!B(A(}hjPDlF5`8N|2c|hD1T63SIjlC-S)-5(=;A}+a_xKVX
z^xjli#<$lIdAfGs9t9@aJ6buO{lJ5dCpXES2-8LPrX`&ggG_AZJa7(S@nOufGa}QQ
ziXIUqOFleeVffX^s$+Xa{*qtw=C3#nH|I`W+nB}1S7oZ6o4fh2cQR#+e}jf?3&o!6
zY~~=N!K6>cRRBWSz|$|*>S6xy-UG(kTy%aO+mZTA04+C1UMS6@V@ZsCkX@aKx8uHA
z2a0+j%zMUt>?R$9GD6GmuhYk&`UL@RW-K6elt{H+$H30z#IE5seN^=3hh8qUgt^nV
zY6GVkc<dX*SQ;4M6Zbvm#J5<%+xVlB{h3TOYU#XV?PGvjW0rim&aj5leGcoYM7g&u
zhuf*O(*V=h%Ex<#tU=GV$;UXKg=az)W?r}$ps}p-R+sxW;OW^k;HkpK0PF4*-v9K`
zL`Gg_`C(f)BhlUyx08+1d!-*s#_QvnzxVUMIorWoX-?+i5;orXa?m)nkBbHphlZu4
z?LoiWB{IF6jeb>sMi<L*@ka8dn9Oo}s0=o4Y5c~<UDrt3$^;H-npM4dxK0SgYMm;x
z@7QR(ueQ+W4+|e1$a|{wMF=H{i!XFkvhjwq%Lz&i6H{$v_v{ws>hI<JhT;QkT+d00
zXGSpa&t8|UM?|?DTDsOHOOK6=7pX0JG*RE~r6gR50T}(UP0Xp3g;Aeutwx{Huw=L2
z-`q@q&(R4bf7vYLjz-KOiMXXcJF@F?4nS`T<x)fn6YFoMhJIY6gB;~qImc{(^k6H$
zuD1+q&(|Xjiaa_^XRpc9M1W=a)>1n;3}nWh;lGVi$J@1eRnK+-sJOen&fG@FYP)tz
z#m#D{?sfUVzoh^!6!A^>&g<d&c$4*8_L1<l;lwAp$VaMYq>s#Nr{TSnKPeX*RZ+b!
zl_2q22zhEA(??`z*qAa-J?BBdmL46+`~V?XROq^nI#7|A88UEET?P4E%Q<^S?cwFN
z7|q51bTE^;Mmm|Oj7tLwwjT?&hXm=^+>MFa7_YZ>k8y$`ivRgy)--4b40*w1B2x>m
zF7OwGFH*p+nzQF?eC?q6-0l3>P7UmgJR!HlM;;$d$9uo*vITSHA66UAtE1hurKj5(
z<Z!~f--x^17V=EPujWNjP_<x)9}p#n;u8;~DjwNDdBUgjYxb%k<8M~^({MT5-Wy-<
zX>9|sda2UH6f)9@?tKfc$)Qol5rr$atRa2VokZdT5}p*xjU6S(<H&`<Vk;wSSh}Qr
zp{oQ5W$Sk;XBWxiAFXRe@r72v_~E-F+>eL@M;4L$!xYd~$8yhieJiL-rt4GRsv>Jd
zwt==)5x06J{MS}&33txUpQ;X1#pfC?YvcAS;p5|3zaj;eP^qv=s*I+JgthzLe_N-F
zKe~&P&1)^7zQF3G&nE)%+PZ!%lu^N5MvJ-~S6RT#jA9c~Edgy7jTX4otDsg<spRM<
z0kDdGq+8x0;LeBMTN<+ncx;zbU3829u2uGZ6jTzB=$2Y~IYJdVD#G=kD*)RCC0Z%3
z33y|1;iWkNMD(HV(}{h=hm})Hw?2_m#iE3+wao1#TyR>Qk{!ecGnp4l53N$gBfRE$
zzWd2oO70E$tj!0jbzh%`6{#Y<PPvD6K@CGb7}d46^B~`RbonMNBJOBdNpESV;2#fz
z-R;MD(3<S^MePC+2OXZ4G-+wzzrOn7t!sJk-JsEFKc9q_&BL005t=ysk(W(m@jxqe
zTi1VYNO+|`qpaqm7PiGD&)q+54$HGXjt!n8qx}5?4c&e^SXo1#g<f;8>^*e(S&$n3
zqSJ>r{m~V1(C<F2r{=J;Gb3qgB?TFKe2Y7uQE^LkPgmOmb9j7P*4W8e9a-yBlRQKm
z^ugs@jd_JRJm~mgxMsBmCVm(X^GVV}!UC5Lje2u9-fG%i8?1@n_w|l;{zpfvyps+)
z-kU?yqN0O+Ia;`TxWdw569Zo_TF#s&$Afnp*4R{vd_gf>_S=0oCSL0gzWK~i<Q*Cj
zoq7hkc+0Ud_?-g_=|7to$CG%lpi=c!xf2zA)xA7>P1%_9XXR!&QID7>*4MWDp<=7>
zuZ*Jx2YuzX|7mdLLw;h<@1#;1{*qWztUJj;d$A)oS@nFFkT_oI9jJ$1hARcrO<YWl
za~d)65Ws;LqWe}Z9Sa(>Mn8%8{L<;|yEA_ZU})#_$o&I!EITH1J!8HBHqMXgJdtMs
zs?wVx^v*NT+oVId_kjU!@OY>8Zj&VpRQ6e&6ur;>vMN_H)euvwa#GG2TEYD}Sw|Zu
zm}tDTs!D%@As$H_KD|KF8d5#e9MVs*FxyG4X<m>a67OXV-g##YZ$eytAE&c%i-v#K
z2Ny$h>yN%;^4JE_mNsW6=CDydF7vq69|Ih0Q>@#4*%m&uYHe^8=U~Zn{2{qr2B=v0
zS@8C-9qcGR*D>qDLAy$YB*smBTu6ADU$Dj=+{Fi!`1?6HeA{uJ#Um~%#|AH-(h|b5
z2}+<^s_1)_8*cBu%E6=^US0t$LU7#RAQ2nG!H?>>k9`B!m@x5;a)1x;bkUN1Bo7X{
zUk^<_A;ZFgd`lObJph;ej}ExVaqx5Ru@B~%42%ihuF-rIpxk9-Wl#YdH9HU6rW5H1
zXR-u|%>el~+uj`!^+heqIC=D#h(k)Ej<0wJuqr;c$?Yf$(|)e~r=v>6Z@*P9?)ePx
zRkkce{xuW5)y%>s7i#0@v6EZz4S;fU_1+C4Kk-fZG_xs90}}?hZB9)96uTD$-K7lt
zL7jRwEJH!xd*^8G*8vQ~kA~Zd?yI8a=0Ia4VG~g(7Z3{&Y)Uzrd{Pgq!U8J0@2aBb
zbfLK93V?GnrBg+BXm~Tkqk}T6g0x5Slspo^gGa0Q6CG6a{^#S^w^hXL4LfSr6$#<4
zgThqfxGs8A#{F*FDxwqp>6;#w5Gw2%+@x3N;7r=^_Fk4e>iY66mCx8ioSgEzKlin;
zzPU|}b4V7C2x1?OiF&+C{O)(6r6xw`$!^=bPzKS=<jwqWJFs^M%usDn$K&gD#O(Z~
zaqO0NF7K@^$Tuul`6HTwH*$2pfA5pRcL`zyJr`TBIv12A<En;nRB8Er7p3sR&aa=o
z-m?Lzao-FBo`~~HKZb6*EQPYqO4l!Ai0<3!2(O!#BoqrdxQ6yc3MD<R-~W8V8p?>Y
zm`pDss*E4GBjzKGSM|gc1@o-o+W6sr38z%Cw8W3HdaewfcvMS1zuyWrl-`mTA0^;V
zZ|~UkoidoTVvrd2%Mvax9qV1`OTZM?z7W^vve;j0`t)CjC3xI)wzxg2g2Ee>?Z$(0
z7}<O7aLf-2$VxZuTzN_bzb^4^ea%)tK{4ls=^hJszkcTCS`QUe34r$3@rt;u4EHbj
zCxFn`C%h&MRPd9Ge`>L~GDe<E+$EMOfZVYI@&Ac>dNA{Hrc$diQu*e~PKff~#Acr=
zNm~V9H<xYFFIGXleUvF-86S?gh-WPpi1x`orr~;yfQ3CN8ZPd9i1eGeeAG_`pEJKP
zznxLV?_%q-#QyN0cDJ-#$Q2cwAxCEC6cTYpTS&iqfd>nTTRs%esvx&|#YLrN5;`sz
zxL&uM2M=Q^`xSQ(&_uoR;KV;NR_Dw<%bUXk*}#2AL%tI5IHlqXaWMt`ws<b6sxb#C
zito+(1FG1$`eT4fo;qHeGFo==h&fPpbbr%g5OIa-YtIA~O>FRqnCxF|4iYi~`RF%9
z%yiMw{+g+UwD4c+X!_=`;95zhR0#>+<^_5DXQG3Fyp6t8S#vOL4gdZ8I2q?$Xx~EY
z*TpLL6+u^inSs7VjsHNB8m^DMqFdTZMbDgkvy+2n;Oq6#$2p6F^{X~y3o2<C<hki{
z$B-G!>W{kimZ_tW<o8AWrFuvf2D<K?HiK?j#2Jqv4g9L(=#W}ON98jXD||G}!9{LO
zw>eJ>Nu4=ct4bN@D;D+o(PDF;hnj2NNYlp7r8{*)?lVz6Va&HM-W*nkeL0>rse>}V
zKc%bIve5oxWQTf(IT)rHO_|tG@r853)`N{~3=Z49QQU$D8%!Rh{{BZrdQFFM_cIPQ
zR=R&+-{3*xtB##cjWlEl!o#nMykNI>!yJmp*H)!iSnfQnhpe0tzlvM>DC@LgRJx51
zmsqv8HV4qLu8ObfoM?b6J^z$GJ|qC&d87~J77VP63{R3;Xo%OvK5tE3WC3%miEagw
zObnb*clLf`h|(soSW?RpZl`U``&rM#zNbsypI&K%+eo&)isDwl5+q4*;#k<`@+!wG
z(+D3N&D_#5W(Dy}k2)Tj&&ED(s{h*pBRq6*zRlTTYiP4p-=zDDjacYzk+|OoJ2%$z
z=MLMzsXek>t<@ZSk`h&CMK;0?3%S*k-)uqh;M>OPY7RF4uFI_3ZHP%7inAjh?O;XX
zy@^64E^3DTm$NX_042x8#<kn*p|+seSsJ)_`j1|PVU#{zKHM1EF3LBZICe_;axS`C
z*4=gIi9G9s(Jo&rfGYx((u3Aq6wGVzEw5(dh8M;S25A6oo{?g5l3YxkmWWo=XW{4T
zQ>J@gioD=aXQswA4&Ix00Su!UD8H=UNm<$fnohZH-D1o^Zr8|NzdAiU`1VSfkAVY>
zm5-apXR^_J@YJdfWg7Zz%pru?iPkp>lLy|h@OR|t^7IBBT=U!U@`$|y+&Zhe=#Ux<
zFQ&zJ`<>Rr)MGz(4w*VY-imh9Dr+XLm<X)Ha}<1^E*|!o=m2NZxc-K24BVK!e{T9a
z659P&JDNEJP;svB>c;hS+#P&BLw=VkZtn|<ZY&4zSds9%e2X3)xiMfXy+{RX^$(}7
zjRM#lw>N9`4jQhVlcsUGT@n8W0096043~F2)n6FL?Y*vb?LDt`U9Qc2tkO^<MM^~}
zg|bpaMH*H^OQ}?3lo^Vj`aY=?g%TMdA$zZ~fBrq^yq?$doYy&@_vhnh;Cph#9Kb5P
zETuVE0RyMiT<#R{;-*q3rso3;sJq*2G07p1d@47XM&!8hyKC>_O=kvVMD}0$YAlQ2
zm)P?8ggDWAeZm#p5-TW*`;d|wC5=6yI=uDa?C3uD>2j=?6>zyr3{7-OqLjKx<wh4a
zT(}Y6xjDoVSVVRX$a+Yif0Fv_#Y9&8wB@E#cY_7Ec7Jjmo)O18w5(8OIaZV^Tpig(
zvw-=%u2(&C#n3|YxE|923!dhE`!6Zk9OlF}eeORmioZh|UpJB0>cp4tRsCxQTP~e?
z6&WFd0;HEumI7Gua@1zg2YbvQUvluq%d5g@ydiX(%0E`5yeOCO_-G2HJe1MicO<-R
z-FiYdmkkx=S`@MjP2tPVl5!<c5;}TbmQ%XSjuWWeff**yXaBv_|Ev(&AK$u1;t~gP
zv2=_6kTQXzN~?o~oI=PIzLlYx$%)xl6kd~V7=!hfd82%1LELxNlFaDkLR+?UtGgs)
z2xgVbz4t)?`wrNqs9NzLe|{JFX0j3JkI!6G^%cMik!~+G6!YTYX$y8uDI>VuFii_F
z6F?eMUS8=sek>7RYB-ZY2Z2(TH$BDzDCax>V`)|ZQ|kifKGNy%Kt3dacb@<b@uz%G
z+AoC0q5d33pACUqFC(t9aP1u9Lq^3;62?uJsdD%jg3fq_qoTGTj(KQb^Yj$PuxC;M
zksO8)E%V$hx=s*Bs%5-=Pl%v&znRbQa|6iz#IX-H3*q^3yG#9PqA11izWmJH09@V-
zq%XV|!sm<j^odR}6xeLktHy7z*3T68DQ6PO;!4wfeKNNB^?zvkNCTfLk=>n>B$UrM
zvy=6%1m5IYK5HFEgA1;ChrFK(<JpFcCV5FId{yS5&*4e~WzWg2+m4B#h3XZpuldsG
zYn*+eQG*84|Ms;oIf`OS-@DG&p0YSE`j9)Ag9cHatija`F_eC8+qO|n9)%>$xNuA#
z9`&+xusDe0z~S*Six>rrb_)4e*sTvujRfD^K{6Vi;8Hn!MiK9C*Bac>qYwP2@~90d
z5*QepTqko;2@R&$y_zQVVfyvwGY@(su|aTH?pTU4l1o%L4hzyi$|op8(^eXzHe425
zDON#G!BE*<mNckzqdc8^DTA)3-~DWFRz;2-f__YqG<Ze7YpHH6hoLVvbwsSHVQ;xC
zUw%Ce1gcLCdw0lVy70z@YZ@9T)aVub%*X)pbT>-w|Db>dX<xFqwrV2J?s@^K7X}cS
zd}U$#6Gc=Kd%tPapMow6B>sMTL+E^xp4V|f3B?-cLXV!&!Yj7hHsp*O!nTx)c|ZM?
zk+qKM+<00Wd30?XFBH(Bm7G{n>Z*bqd#t{{^whyOOLO}<FBw7Yqj5=hb5%^*S?VY%
ztBWRuRz33}#_-UpWST0ihR%E3W*_G3;w^``QpZpeAgzutnN6x;`NPa99RWS;=sLgj
zFV+<DT;`-nW$I|(vSOv9uZOaejL@OSW^m@3m6%9?23C$Qlg)+oFjX}1JpV^?_%Ybe
zb&*#Sza;o%zkaTZexBXt2S+Tx<nWT}_XJJsDhy0Jv7&=o1Z|TwpA{fk-LPy_6L;k8
z`#aC6gJHuEks!~2{y6sVTNDb`muP&O`J#m%Ka`2x5d?@J**QD{3XX2<t}xiXwtw1j
z**Y44H}814tS$xry>9l{o2h|}nc&RMUI6hK{j)Jsnz)<%T{W;l4HpYXLNw^spnIOZ
z@k){=o^FcyZ?szl>;IeVO%1e$0(~`BYc@?xr>96R^(o=-6J^b$6l)0EmRR`T4h`Iw
z%zN#`hyp6>-cnV}wFa$rqt7yN>gaRN>7ELc9EzVCFgIOWUtJfl#qx<7&RunM@pYF%
zInI(^*L&8$?{oWLK&C4GF`l@}H7CCIuOGZVbjli{%z7dWQ&sT7oX<c|w+MPobdaBH
zu!cfsx&h}!Wen2&(Y95Mgj&P>?ydsXV0-^fu9UwLCfw(I*?gHFKW|(w@U|MD-NEIj
zp^GA>n6xLpkKjhBjEPq)Q2_e_H&kA+RKPy%9Mc+U4!pR1Vt7Rxphvjq-qpQwIH26z
zOWMnd+l@zZ3kw)9H-2nefx8Um_HOvjX2OiqE`M(SVqw4~Hf>}504Xd`e)v#LZ<Ubh
zx2}1&%?iBuJst0)NuZjQo>F-G5)pOuKD)|eO9(95809`Kjyl`V@f5o+65F1+=<S`d
zfL`m6!1+UBcv<d*qjTH>;m=>I7G-Av78iHF&|ek7T}SPUw{Kq{)TOTK+NGF7O5deg
z(K2Bye8?n`pSD1_Z-H*hNi#USGx#y}CJ7loYUPf2EE1kq%?#=`ukmGIa4z?{5YoSE
z9eWzQMBEhKWn=o>6zpSz$*ubYv7pBMLd4Hy;?-_<O0J+Oz@u1x<2HUgo%t~I{l!(H
zEIE17A<P7xPF1+4Ch_6^0%n29mrQ8!BV<Ui#~6+Z1=FP>c=5N(*2Ib`W(-sMQoG*8
z80=|H37=AVP{68tiaf@GWq)@5`1sKXss^9gwNG&4RA<+~OKmnRzc(q94@PizZ$;Fr
z5N@PY(EY`t+0iFW^C;gNI=J%PxwWXujTW_AV_n8L@N3oif=R|2NB;bby~M(eyZhUF
z)q}WDHt2(8Xq6${YrMB5k&7Gec9tEl65v7KTPoc}&V~>)vi0u;BW{#^5xl4V120BB
zHfE~*Z2(Iq50h-;*VaF_U1p^4qYdtVHhRJUvgBHCceC@LJL$*+uXsVU*gw#=o@4-~
zyAEhIX7He<1H-_(UI+(bn<^v<X^>i?#N2#@7vDeU@FowF&`K|in!SStLF`qrv)lPl
zQ@^FwPD%uw6-)xQvd}=pLYFi806#7{&-Whp6vcAx;I8Av`tW5#`xxo20OoApWUo;s
zh9@Tv>7Mu3hXYrZhr{Ls5#p@4=d{S!yJQn4qN@+wHnM)6uZ7UH;ee6*D+!#9`LFcN
z92GX5iH_yHLBe8NudJ7Qr7&RK%XL<ts4$df^K<-+Fq(&qd~#Hl!SN4shYvoXg7#2j
zf8{w5bo@T+BE=?$_43DFsa&Rli}A@BtGlAe-JY52#jJo*J)PSU!l}SF;-pTl5kvX0
z=nfQAM8U`DVYMfzAZazeWtc?9mGge`Gulcx+2IW4u~e818D}yLlE7l_;mLz;%6K~W
z+5Cn_RCvq3lD1)35;cu>hqGQ&!IRPU=Mw6u!1AniTqaT)-|{p)RcKPhOQ*d0@&xqZ
z&d;fzTh(RpQeaP*o6?#dyR#qm_tuBGMW(Z>19F&IyFcS-s0K2hO8s)7P9F{(ZnWFJ
zPXU|Vv$ExDG|_r%3v0GB4K!~*>}1}dh}+{{I4eqP;ko5c<eg(Q;Cg#7Y{Eqe>)<SX
ze7`pKM5UL1%rF4YCp=EfYkgNc_%?pKrGxnn?M@XZ4Z)&BqC9G^3VPLZ*bNluVw-V+
zgYzLeJYT%gC3r{`#Xp4!IX~6I_R-PN>f=VR{A9Poiz8~NJ*2tC+=z-|ufOJaBpXA$
zu7tq5gX-8jDMq(BO~qb^+VqvrCcp@Aon?2?z}vg%ds)+{SX7x7yGh&(Mk;28>a{iT
z!bZ7Y&8bxMqxVG|^D~D$r$;dcYaB^9y?9FM7!|X>P90!;w15=}EiJnw3T|ifPrfZm
zMa_m^OULD`Ag0#H)`v$6U7mez=#<pM;*_%&mJT!E_i}n>=58&N6LBAV@j?gZZ$0$?
zwguozN@0}5IV}wO$9pk+MGNhtFQ`<t0&p?ENstQFLLZS_3kePi7APu=pK!K@^Wq|6
z_l>nM$8w^wxm6v<?`}U@Ut|piJgI*zswt@T>~5V)yee+)t1)`NXbrax&q&y5Q*d5h
zn@d$k8NG)*hmUF5fSd8_l#2&6k^U>U<lHv}WCfm=BpVw@+(~BA4Aa18n%jMrNwR2R
zWDz_LHjviFX=-ys9j!dG?5OV~@Tg{Cl_JFk&PEiUy<n$?=~q9QQ@@C!(9ds$E=)FX
zQEkViZa!7yO7s^X%t^TIj84dzDr<1nO0HF@QO2aq_xr>Q`S8_^RlCA7*5H}6>rQdB
z5{_-mUTkaNz|X0bkDGL@VeOGqJS-HkIi5Z@zl8<+QYfQ0e*k1RuJ2|1lgFp=b(QTV
z%Y@R?kS(^S02ofy?S2WexbEP5_~Y$=i2}(aa-9SK+4P9woVhgqlh#}Jp?ZqY+@<Z8
z=+A(F*L%+W<(0&ArF8L*_A%nVrGZyXmKE3)@+*^=$hhC_`!NpM5TUd@^-<%GB{apq
z5>1v8!w!2!#Dr}>Vdp&=xvXpn+G)}axw}PhYh1WEN6jB%A?Wr5-NynB^t{I>RU|a_
zz4JCc<`1E3II!o~b90!!lUws|rx1q9H23M5^bz7@(;1$%{36TD9bqBA=JPYE=XhWB
z6Af_dnAJKn*tfjpok0sP+P;~qwf{Lt=$?AGMe(jFEO~r>wzZiX&EjI?Pn;VeK1|=A
zFP$<0tE{-~c@kWh+R&ajb#<J`)GOIOx77q>vV;EF+~L6A)E-UNh)JU0sGmiBp)pt;
zxy`oZ%#PQGlz&J$PZJ_Kf4y}jjG;y_hy2@`4a2=p^jF%?5+#(R<<)2-P!n)wp&Vev
z`*kcYhh6^?`<)_V^rz?`e?_HZYY7Vmb+l(`o}DLzniTqr4$`5g_oj&?jRjka#??dL
zFA_FKk9mZ37y^6MX_v>%%qYx!Lv2QRg<!Y4+7s$-2$32*6t5?1{F5nk^l@UsFUqIi
zWw#nYQPzO4PBJqd;So+<eZY(Xo%aWXJq<twhtAV8m{CiWRFS^Qf`UC!yGr|LVBPpC
zmbZl&zfW6nUkqWxRF)&egWxs2vYphtM`1w@3*n=ROdQz2O<!qeqd^PF>J%lF1-b5v
zp3=|YMEkDSY?trqgZ$k1%nof<tk62)TI9oxk3W7Zt2ESy(CLs-;h(Jda3uA=mi4@N
zfOA6O#dj)P|Dsg+IExJ*6nrTc+{}+V$j3_)!>GU;*eHJYCOeL+AB>+pA&A+uA3WC;
zs9^fqY_a7r2TG=ijcfG@p<gmONI%en-Ns$xm%edgnnGR}Swk4>SzmfoaOlD4JE3$*
zWo}ed|7y1>Mg;2y-c0pJ=z{dVy>!bI9?X3zxcYlu6szs;zRF(FfsBZ>^d34N3aBqk
zEhdViyw*sa)m0tv5|fmnFY=>|cY#ugwFKs^3eU*Ubb$B8!wYf4f|w@aQb;CCVYGw%
zmW4msa9llfxR8y63%X~rxrJnK{a|THQ?51?|2~(Rt0jzbEOWDlx^h?*aL{r!UK<*J
z%F6TjiJ&1y%Z8XL;N;lS1%()GF!^zFTKJ<V#<rzh2|K2UG|pyAyIb0DV$xo5)lwX9
zy!dTHEmK0*)Q~qnKWW2)<`DVUH!}8rR?ne|t02>3>Xo;0I<VBWyCXJ65>@{B?edRR
z#dy^JW|X=%uiHSSpNljW@9--pv8&^u@qVjTdtEqVAvb%~S{7;Mv-w-DYv9-~)BGd_
zJ&5Kv4&CS|k9_ITFH|%sxSxH(s!)OoS!I7Llgbrv$LOSj_IoW9Eu8hqdP4=l=6frQ
zpNeQPLcg+aw+=e5>#UAEuMZcpxAQk~DC3=|dwz2Ry10h`CS^Yw#5%}#XPK$sLtVw-
z$9h!Mx#{mVwC0NfWCfZnf>n_v_x+K>tyBy=F{EymVF(!`g=0$3)$nn_*wc4M^zpT;
z+6SXKIs}S5k(mCajzv?`n$qq1*t^F=`p6+;I4GnS;>4wimv_Gm%2cJ{{FSp~!80aM
znYzV>O^$-<PYYkqGidl?r0~zTTW0Wfqv(DE$u%B*6O2q(p`jzOhx41g1>`>E8ZDUA
zLhH0i%fEH{NZ<Rnv24x~cow_b{2pqfQIW;BQVV@tziFqq?R^GhtR`>%C#8c5E?o96
z0;o9S`|q^ct+l*x;K3h}wcNNdGW4NQgD$@DZNQ_Otbx8cxyJZ_4ra#tRR8hO#@F`8
z%i{;EVd!6JJ&TqO`mVblV^g4s<jrp{;b9wyf5TdTrbrttB<UVjAJwo;PfWS)lMOuZ
zkqV+OYoS}ju3I0fl#xa9>9Q54EiAn=Us@8>!isN&MZVPv_;p33##hA_9H#eu&zRIi
znM9Vi;dRpJQ20s1M#&b6&w6<T=V+jRs<p<x!{R9OrP`B;%@#NV|8u!$tB&vPt*h0F
zBBAGpb74ibHjuHj`O2m$RV?Dq&bny7=Et|_?XQWkfiRaK=3#Rc+->HR-u;>d8IqiO
zWovw#|9Y1D&vPaG@q&uJpZ^ggiLj@S);P$QqPBKvirD|SWb6PjLhL$`QKjl(4NFHw
zh*#$FSn)DvQ@2hF!JHdd?l=tK80U7aa+?e~iPqdBox01|dvn-3W{r10{Azn*lO)mS
zB-5^q^NkFVk8cm9asr5yk5h7I#4(fGkUMkVZ$@QtTzabx15Wcfx%6BTMUCPwn>YRa
z!<dN6TPSz30$RS=ZW%{m><$Al$GicCi{<<Y_EVM+Q?;$3%UTEnS`wUh_75_)Ypkbx
zWm>=%`v*64YWa{y+;&3c?;yj1$;?`=-5juJxaV>(H&)$AsK2i|$S@W;yJ<by99&3$
zi|z$+V9xc(!W()0jJR#2pKsmPd{>)Ako^Z%Y>i2u?W+94ASG-?_cT)|&8!dmd5{^u
zoO<#8@#P-I$cFi<+EEjr=e*qdEp>%xdz%<^Rq;22@V%SW3?^{dedT=h<N_f?lN3H~
z*TJAN*J$de7{f}wfMdm*zl6m1t^1wLS{N*{z8bgZjDQ*~_)-7g3=x0m_u)m$?+k^U
z9@EcmM&J}aUAZB7idby8cSQN^7slQ*87?;nIyj!sIo%pNL2!5fH4k)u$GA;UTHa9T
z(6lah>tezvvG>?QYu>|RMg~QFgUnq+xa*YrU|q@(Ve<0JQdDppqvaR(=V*RI2uoUa
z7f~D__|#g|RIcO@8~f*OeK~Ic>avM(k>Y*C13uQ~1lnstsLsj1d6foJCwInD{d<Y8
zCEXPRc2&f?3+5u{qi9gV^d{a#s)z9MZvHY?TuUSix^|T?(O@50%05`Mo2ZZC*i?VI
zfe_u5<hkvFKJ0C~cgNS|H^C|-`k#^T55n!D;1USxgI;2yxc%2IV&~6+*}qR(35nsQ
z+9UU<&>+a)OpWa#zH;0YEHm#QszOhCl~btTdnoqg9{(;Pvd6fyG_Z>}#j+8M!}Z`#
z$NbCT^Ie47Jsr8MZQVqxke>J7bY0NIvALE{T}02xwBkwoUgD=@^W3#29cX$q+&gOY
zn}DBvsw+-?#N<11lRjP@NIBJUG{5#YA#ROxhffU<PP=Rdo7QVXTzu`Qb3!-qLP5lk
z`@;}XUMqFN{<0Q?rg{Cy3+f@_H<X#In2r*rvfC*#Un%g=_<Xp<xn5#JuH4Z#o#Vu#
z8M)JTG89;z@HOWu`$Jr|p!^ouGf8BKari&?*8~ysykAAq{ls;V{`pUXQ$(n{FWb8J
z8X)|EMfBLS0V3+8iA-S143U;N)6c1(0qpAT>?}uz2=k#+PEN<?h+F$}$YW>KVV3}v
zvue+p4@=)1!5RFINXxy@xX`BtVv&St{>3q3%DwJ-+S3I>@7jTK<85l-^1w_u`@{rs
zHx6&y6Iv$f?$nT9R;ofCbF9o<^(3)Csxeq9T_whTU%h(ML>0bC^-H{jX@a|XL`2((
z8Tn#Gq?cZ(Kx5gMj9upp(akQnIyK0GG}d27l;|oDaBFvu$J03?OF)ZU^_&fbw<i2@
zu22S&RpJ?~`~L`s;A{N<QaNz4;<xbN24$Gyi>TP~ae-*@G&i>)xNtvZgWA4MB`8p_
zUuB{!6VshC%AX~85hjgh9mAF25Ir{NN6jiB7i?RmmCug~HKJ|-a!L^D(R!W7jTukn
zPP>}g31Om<M|SpSMc6L4{C(pD3)(V&bGqI{!jB4i?`2~Y;iB>bv%x|(JTqauDt$!+
zs|n3l8tW8+p2WzQOXEOyrD28G5HU=iK5#5lToERwm9DnD<wDjjhSAf@WaPi4a+YUK
z0nSo0<JU{_;?3wEv4IVeXrwc?!=qmTN=Nr`ZG6s;=E^(XwXNxBt>E_09-|7NLjAHR
z3PN~fUEJjt0`f@y{E+z;uOb{u8%)=)CE@#~h3ge;iujh-SIcItpMBS^d)u8AK>-(@
zSDa6j@WT2Pv%QZMf$3ENufT3GlvSkwNI<v0H0pb+V2*OsuNqY)n0hjqK=CHy0q5*L
zC+*ennBq;o9nDI>7NNR0cv}*46fW-&*`R^tsdnGLy-^0vMY%mPOVU^u5XV$|l!E`w
z?RFFRqXN5|;*x5w%As}k>9M42ZG6A&mGwIpHFzc_zxQvB0`i*wk@&u-i_v#jDLce8
zphW1{+^mWc%DhZyJpY`EY7?@v#|<fP^6Ad6w~Cd~m!*egrBxsMZjB4O{ih9Clsd@|
zJ5-VBRZj7vWg1o<Ubk_wNDrjkhc7jAsH3Eo*RF6rLrlAEwC&YZedtv8Npg6jfje1r
z|LvSN#A{yOS9YxF7}K=WP-F-NDfN9VswH$R%Hvd!Dx!mSYG!S|oHq8m*ImfbGs0Z%
zn48%mCh#VGet@Mw2g__D%Raanp~@xRU$5?)!P$7BF9U1&+4oe{O^T8cPH8cmA2KZA
zex{)N5j84y$_3U0o};7La)f<q4+9DpLJXg*<#x4<I#<IWL!7$4lfrCb4G9JLD+vQs
zta;nFT>h7a8eXv_&koo?Ph`x2a5jCEa(xl<PF5e&xg+`R9kGSqrJHp=kF4eV|Dbbj
zTnE3U4W^V^*}-a|ZG%tRTK!9A|4i3ZEiol`F|^eVvQjr{jw?{nw5cn3@}LTe7PvOu
zGPZ~6m<%neKe{OA_$iKND31%K?deB%*~4Qlxw2AY9W->At&fux$4}AilE&-p!J&=l
zAaBsZz(|sCRt_)z&E)t>=CFt8EG^w~iY97<nT@o`0-^OaTctS74&I5D)(eiQp;I(x
z&HLV$gtUU?*sOvbY*T$*9Q;HDTW{z3Z2msQ=<nDe!gtjc1U5aGadKC}U1s+Ob)uNz
zW3y30^{fpnae1Xal~%x<))nGLF((|{bRgB!%?9i?<zFl7m&Tb?ZPlzTe9*?~mf==m
z4H<^90r_h_+_Q~s@yazps1s`Us8_Lu|8h1RJhUQ$?f0sbIJ$(O+Hue!D;Xe1@u!V$
zun-DeBrBedC&7Bo{kwm01Bi|qap@o6K|8sCb=7}JP%y1lnk>kGR0q#FuTVA&i070$
z$1V)!Zqt>iQdSV3_T;uNWrdjfRZloCli;|L<f4M1CFC<=M7ExsAu?4WjrX^c;K1o8
z7K$Dg;J)&EIy|PI=zi9!_b!hFeLX8q=abAqCS55eBC(!e`*{B7bR-F!yu9xl)S7{V
zW~P1E@lTAP{<lLLoJk-jdSs8bxEbg$+~WkYx*0!eC(OKcNk9&~Rd?yIDVRM1=b4dF
z#=e7(hQlRE@L-+(Qp`IOXgkYJjPcAcYE=T&UWt)FZ$pz#xS9!kNp@u!$oR)-@DvU3
zS0%wl^RmPJSB)V;{yNLcwk3u_?&iOnH<I8{pdQmf7Gtp7vO*N@VFIP9Db?gy5>!3<
z+x9fv2z)yP)3#}|fZnY8V~rLP7_HmUcygW&3KWBynJ!kSQJ8RgZ6gfT2V6rcqUd10
z`D;l*G&>Yu{$SVfK^VkN`N$sPp~I2{$2lGePOxw~eS^tM1fGtxm7h&DgzB1Ke#=j}
zU`O(7%`LJhba*LGDA5g};U)-h(RqMb;$5^rzbN#6;;lT{XaKF-Y=TTa^1}Gmnj5WO
z#o$!){`@!L2EY-0<+iaGKb*Igk`HJShmf!4+O`@7pgm^&(uGG56gTN!vYREtIuGx_
zLmf1r7SluC?-v5oF}L##R7o&<7;q)+E)AYV9BX~&K!Pk<6GzM?De#KaEIPT52F`u=
zZ?u~W1OLCEv79AoVAhB~eN~SJ;)6ayX%-?-UCyl$o+t~e$A$K$anYc-C?p|bvnVti
zD4iHElLw9C5pPe8=!2Q<Hr*0GF);Y4>F*S+01K54wVdtxAoQYm(&vFVWS5SoPJ}3e
z$HzUlx3=g5yK=8dST`B^_g3u94^e_EYO$`zy7hs_QxKC(B_Yb2N$kp5W#~VdW1PCE
z52Uxx-teYNK|<d;J=NPPkh(9<M^2RnQo}<cQ;ISm$G*-jrc@Qe{f3h_uFbW>voXA-
zNERslc|r2+YGBbOA9ga22A9PgXBu4Pp+8WV_>WBkgjT7SXN3%4`2+K@-17<`AF+Yg
zSz8nSK6vCgeaQgA*?d3UJ*Wr^{{<v3J5r!?B1}1uYzY4Y0096043~F2*WVw-?Y**B
zwvWxn-rmOw8KD#v(zmjHNuiQd3KbQKN~J|9N{B@Gyd_1;%nFIf-pb6+zxQz;_uj`n
zkJmZpX|nA@sD_gqyfj@nR{m4NBUwFenF>8LU*@d{F_6a<D<1l6e{~ov?iI5>p%2M>
zhg(Nw6_Bu^aqzO62I>_zY9+cDfNs-k)_hJyFm<$xW{7Fx%<u8yX(K~Kce-@iOex~k
zcodI+i6%r;_<B+ejo{5e;Vt__L0NADaYjxHEKx^TZ`m0`DXeu*NxBjuT)8i=x@&<~
zUiO8=eiK|6c@&%Op^UUR%_(LpEfgFrdZnCb3X$=Zm0L^7$bRR$C3Hj+50##8?|f;7
zzb(^itg$NCA~3A$?VyRZFdwJbc5^g%&hbT!t6=n?`h(X#8b~!eSh+TBfwweAO(|Vf
zFl>KGm!zQ%pY}g$+=~SM)6|(9aZ^QxS8TOhxhmAH&Zh4T1MD+jvG&`kLgm$czY+lz
z7<7s8#CHOBL$BwX2&#gTnY+pdB~Up|(?@GrVo}>7^-zflYIOgJ7r7{+yfk7ZHPjMK
zJlU)cx++*nUwpajEDw=`!y_|yEb%bDLar)78D@9>eUo#Ng^KBuxzr*{grvzCbW|yU
zWoB}X_Dl+-+ATrL*Ou_yvXJD{O+hWo$Fn=8#KF~YQ)=H+OWd<k=6c+xh(n$mHpEAW
z;L=J!<KRV0MECi4*|sTQk8@tYHwQtCt>hT5?XraYx1**Fq&y1knkIfkY`{c|q6Cwi
zB{rSRe111e4syrY2>)enET@h?-P8k^xgKA+dtMe?oe!d?-m;^TznypfDsbcIHCg=-
z83a0<-G0Q31tuctr&z3jhuw*Ac`b!+0ajl^ycu!+NBrJBodjAJ_OYrym4vgf_*EZK
zdKCSws;*We@LFfn@Z3vrC<MuD5-9&i*yqOQB%QFp@Xs{;LtUbvnpus(e1(XtZ!>vN
zYYv)^sDOo{2#T{}9#Ybli2s#c>IoDvM^|3!A?{=$+&JA_?fH0-aQ_z?M;BlQF42c&
zMH>aNdif03h{qzqz1W(q^Trf6j%ao5`pS>nC_USoxJV3+P7GYzV2YcwtatA|*nktk
z)WiVYC1S|5^GRZ`3Cg_*=jYe?@Y3`MYrDxZ@to~L(w;hF^aiCjG<))5PUz72<ZCO$
z=FiVxS*jU>iM>vcv6>q)-`P?=YyTs}vsXD?QjFl~eovAqkPENnPo+^==&-cy-D>)>
zA^zTZM`^d?#E(jU9djOfjBL{TtQ%wqg*lI1=XP`8l4w9(t|kMTise63x(#r8ifW*c
z#SX#3W-aCej4(T<*%iIb01{0<-!MzEqbx6FOU6qkSU$3`wQbNxKTX8=c@-OmFYKN@
zCc=WZhQ9ijT=gMtzr*U+)%EpfDVfx(taz2txVZnD9tJW}(`lF4pkr+mJD|W0v*8lq
zQ6D`-j}Ikg=Cfgu<XBW_<bcBHad(q(U2s$c+iY55gZ<5jqVAhqxVWJ5A@Yna0`7%H
z<p;9kn$_7#*Hb(&;CaH@E~<-#h<D9q|JYGFapx$56(6iPwg0>PN(WaD)X82i;ee}*
z&28`P8=y2cyrtVq2T32Ms*BP%!63eHvmlxuELm?EL>YD991||}ef_?qu08SRO9dcq
z4C6b6+W1UkGD@l922=G8o-j@!L^&oIb_8f6+#%KX9v?3X?YojWB7~8^d}hg&vc7-#
zed{@EK73+5m)iYT1U1h#rQaH*;yBYc?lt}maGi^p3`i40hFaQ}eWg@PL`er9`nv&~
zo(U_gTO<&tX_s<5nTp;V3FVY&eyqq$OZF*lgo#eot2c+K;LlL8QDP8;UwD6Mv$!;*
zXA-yS`cNV2J0CcsA_OPC;XleZWKi7R{+4+M6~bE+iXR0EBZOC$K_Ooj1$k8yQQlN2
z3dc>hSBaqH*fQ7OHaT>0*Bqe_qvDZU=$F4bVz{PmuKSr=0d41;+2qry*cx2^Nuxp>
z?w{<^2v<ckrSM%yXrzMf-=Lk#9!aEM-?Ktwtow9sZ06sM+L(IzDf_jA6mniyY#5(b
z0()tzhu#@&)Y{$8Fq)9YWI%jl_+}L(QV-2BE@>ldkvu&;B7-}ErN3q#s6yjLSRLnO
z9fUToNG<%9#R}`!I*%DOsQUkOEi%!?e+wguj$?9|U62ypqNf4LSd#|~OnUfV#loH=
z^YWO#U~$32R}=nObX$Xl^)Ua7{@PYLMI5VS3nv4$aGUMa;q(!G42RBZs<2bARVm2#
ztO6AwLv`7fEQWAl>VFi&sf4Uu4oh5-R1EjcclR3`K}J09>}CdK)CfPyVSY}<55th8
zM={25>QD9>`K=7Mm+j}g-mL4_)!by%ZUPnEU1abp6%>`!O?|va#f3}nb9xQTu!T!{
zuGC)@@{>Nt4y@~BIrWp{R+>4Q6ZgfA&#Pi+zv6grl@`4He@BFjT3{w#=Tg=#HSGVN
z{(Qs<O$;sDryUakxcmMo`lhO3yxDE@qaJlM_3KFl<N_^`ED5c5)WEGW+%mGDiuV+q
z3l18VD1066WfP``<tR?x+il8V8|K@cmTrmnx9LtLi>QIF(c{KQA_dX;x`X7nB{Ft(
zwD=^d!f9m1{*kf*a?_nX{gthd@u@;_sZj-IXDN$Sq%1ZWg^PMPSmBoAu{x<KWn>u%
zOmTdcg5r@7ws1Eq{7~wy%N<pMURKJh>Mi0>(T;A&u(CqE_j@aw^?W~jBU9W@Q5a_%
zQuw^3t#D^5wR<#85i@!_;~)9(!yvD+FMGri=_Xc(p13POE!$GCmWv1OLq+Zx*_K%9
z=|4whlLzHWaFo6k8*aJZTXyoYgh`}uUT(Q8O0IW$4D4cro4{=SB?e18a$JsxkC4G+
z@I*)Ty?=!KMG2OkM?g07jl{wbDFl6G<Sdq4Ae4)QzWLe$<3W@W8mA<lJ->gggmspP
z-^zIFRt<r{_7Tg~4`SG0B>t!Te-lKLh`$!gng!ZEBp<n-ErMHuWuDH<LxfsqmAs&_
z1)?UrDvv%FLfNfX5rzQ+L{VDjfA$gP_`=QVEA(9eKHE--CLic0%FINHUly5RNAdPO
zT-yAwpNMafDd;0yTJ%e~7EG~eYAQhV1s|gM=ktv@`w2h#(y<!C6w#DS|A$X_;Qz97
z@H>7HjjV^bWG<OtW^n)e#}-^T<*W7l2xX86n%Dns)NKsj!{Iz1B{{H^XsT~>bBJJB
zIiDu1YYeNG4Et3GHjD;;&Mk`^CGKsHO~}7&gvR)V^v4fa5O@Ez?wz6uLNW2U@BEk{
z7IGJb`N0g0DWPT=$!UUdZ@{T~S3|J3%S$^6Gr^^@LMM1-hPcZxE~{K>fV2GjPy5I)
z!qLH%w)O8EF;{upXIRkyWYeyOq@4^nF;Vd9EyrJi#VGdJ+I4-fGqvwNTtyFEr=P=;
z28%>fg=v`=mp+6tL!S=0(c_cFyUT1RmWjkzC%(}*J?u<4bxNO|9?LFTmrdJOiGvD^
z0Xd9%sORJ{p8rJ$mtbD^rz&)KFYL#CElw8>W1Sod{d6c4uh8*4Mvuu=S>{Kax|msW
zdL_v~kD<?1ceL9WAnV?DbRbO!|Jga1+yFgRxqd&t;K+n~qMB4+1s&{cCO<yTphxC_
z>*QQ3GgRVr?d40fp>s~lr$m$i<;p?bPA6IMORQ|f!9^QB`SHw&1q>+5KC<}0f*pQu
zQ(R|<si<9dVZ#7Md`;*ZFqh>-eBSF(`vfX#nw*&A%$ZOl3HJL+-0<xF_~n!q6_?%}
zyS_$c2J872<tPtc9Ev@AFXyEe0$DV@>TOt1dC^_dtBnu55v@!H0$S^NE4jHNk`*hi
zC${ED@MEodZ;$sWP5fPMpU7!s!@>-M#-~UDZ2t0e56d47JUO_dNx+2z?Kz(x_s<HV
zJZbkAB1!{RCFT0E)0}V!``{^eNf_^}re&OYHE^x6I#INO8wM(`;|gs=(K_|+Ozul{
zFmKg14lUwEZ0~#5Jn3~GC^p|I9;A+ot``>j#`xg7DPM+5S`tSNtZ`@Qse}El?VlkL
zegrK^FU8qNA=kLA@3D|NdY7r=IlBdrqV7>rZZCuR>K*mnyzA#*_i{T|E(og{IcMK<
zvIuHE9~?kYN0!j&ixMMYxJGw4nKa44vgjFm<8F1FY}+7qph*P#3`19Y^%M{`S)0IH
zqK;dVE%y#4h+&+|Z_PSK5#Kj&UyC=^z<D`V88<%({FweD6-!mZqs`tImxnZ9r*=9;
zV8=!*n|-dSe5Z`?e<hC5A2q?J(0Y(NSQ<Q0qA}n0s^ZV^-z1xUEy!Qfy4w9k1}1G%
zH*}fRv7~o7*!&I^FBmMJTg}Qs!Qxx#^(+mz7Ytb(_1DJ3z^VVem6ykBj+t|PhFa)(
z68?0HhYr5l#MVFDt$_B0>LR9{RD3h%)}i?8qH~+JncXc#m=)gi;9}9nnVSNEz8QL8
zFZVbq-cG@G7s|mmH?^T5aXXIpuRa9k4i}u`Q-=I%r<M+f4odcGKfiN$oy&y1?~IwL
z;NYb#KlZun;F#1%eK4CbhK4EwdOTDy-!boy8>oYagJO2sMJ8Z;l-zH!RSlg@J<CTN
zbTG`(BA|273|k!qiBxrUylA+*%rveIQ|Da+9TW>(uT9+WutOcz-v5Se-L>IfQsLCn
zLZEUwJpHq~21Z$3YPX!ABH5jd>0Qyf57#|BU6rB%fxSCr<C`_%Fei{-7i<aHqZtWw
zS2Zy4v4bJNO&yWDiUy9cTVc1oSgzALf4)!mjB#J*JZ-AdF2;*i*!wXzZ?aw;1;dKl
zL*gmeCMxY@^V<rH`^e#UeCzsqeV8l=lZQow?V%|-Yd9|nE3t{GVK8#*>kxk#Pz{(P
zZ<$%c>-h1B$w?KMCRsL{%!#8gzV^@w18a!-%Mx;Tl_9qLEa=E-AsAiw_=Zc+8lKXl
zn?*E~P?&S8;K^k^3|=|Tbf?1#jYRQy^kYTrYvEA3>&J$0lkwvp6Rp72cUrYjKmnxj
zSlx6l9b~S0EU9W)frsyZzOK=7&|#N;#Hu+@T<mh4oBd#kH?zSF!|OfD@V}7S&V~WP
zDKw(v>v|4qS;YK$StEsV1IP9&D>a1IN#}v8-#~5u(uvR(34BejEtJ^wnRcBr|4=g=
z_-MZRiDVZ;Kz~sDwY|Nx!@G^Ld*}c+YtNU0!NRD0^Y1j@{2(ooEP6?mA|Rvtud8iY
z0Cuh(D+bo1w5O%)9}f~15OYZgsjS$5mMvFgL(0c#;d8?!=MI=-W%gtPWiKxbC{i-!
z)f2ReJDa$fQ_WDN{+pdOhZEJO)x;h>o1pdATz#xoYYM0PFUYrB*f3}IBr=2?r!7s5
z@1AEcg=X}|khd<(s1iv#$!#)5YukEt%GkyP&%96i-FUzNi-OzRIvhr5rx(5ozDYF3
z%>cFPEmm|0IB=WsfbbCQUDkNMR)-NzR-H}>_gEncmeiDfRt(Un7KipbsvE&|@1Hz_
zrwc@T&`~j;9sM*%h3$6Lv4-d<sAkCxn<rK_9o^0{*Gn5<sK4dfX8=c!uSGmhXNZQt
zybo^Zrgdz8tX^nifCp}4cVRI_h{fMN=~CNH^Iv&b{VZ1>T#biHO5MhY13Rg9F$pcS
zqt4qII7RgFpZBUpdgTy7k?LxSy3|0c)vo({CteTQmy2i93kC@EnDH~-ucOU-*jzMR
zTAz2x>tQ|O{lt0O%x8nyZ)v=Z#~WTA)<qihG?m7B3EQ?VQL}BYX*<VKPECyIAVqvT
z^EvGvLMxHuo>ll0+UkBs=MTX;SZmX<=~w+u<bSO0%E3VzouScLnF(!JXq}OLncq%a
zZuR;8?ths?y@_31PuO~XU0U_7C}<^+(%33d{gROV`sU*A6)OBcD|c*^{zk+T*#?qc
z6@>Xvo1OecD)PP-u5pbu6VY44g1R?X6E|geYEFn!@#{~~sps6y#IH+#R#ZQIAR=fS
zZuuTss7YZI>psy$WO)?s;xqe9%t_F6ozG~3%sW73S8pP?mowd&wl@&&suQkR`5O4Z
z`p%10qKRlO*|WPWwTWP_Qw~cSRL4;LZOV*Q6XBIw*t+d!3-SFz>%y?CI?iR7XmH$b
zBK-KQD;cfZh#H~!n&iD|_;LHP<!!BIBJt@yY0jz+Vs2@t#oi~X2wM9<4oo%^&*gUS
zYuVdH6ls;(S<I>+;_s1K&fXT{P}1f>dg>2?QpdKH#aacp|4yBOu9XN}Z8WnI{YkL8
zojjOvLm7(+()4kzZG=;FgumCTKH_ft5wD>sCH&HhKF{0SPLNTN&ILz*5y28$^1rw!
zq0BDcx9wsl5pKHjf!=43=oU=iF({y5P&~8w<FPK{d~u?z&*32=h_1qsOO%4e(x1v#
z@AnX|xb0GHUX2jE&zDK_bBd@u+dttD+e^5*r%vSQj1%dtd+(RcC}7^MWgxoqC$VIv
zbV^}-lCYMF@jH4z0X%YDSNlBri4Yg@!UIRAiM*d1?E-q_v42M7S^wfMLMt`>O||4K
zvDbH!@zPFtEGT#n?fp1NNblqe{x?2H6iSN4^>xaDOE=25>eCS6Y^9~tGx3Kwce!Ka
zh_4*R+T}w>7)FUpeP`RADl8I$w+l)ghh)*qMHuXf7$+9HX1EN}mWiX(+pe(@vdEth
z{hB2>MGWRtDbH>CM{HGi`qF|`78>`9SgWp16MeJsCNcNv@ZmgJ@iapQ=gO-OelwaS
z)ERTn-?e3c<VVp4Mq?Q$^#%(_bIubMOJ|CeM3}(ypk3eWr8MF<c~`pe{3W)n*t7JD
zv4G1Z3sq}Un2u}ed1$vtux3up@or@Ub=F1uuBQ}4LP~|dl`j)J(CcuhmIHZD4u9Q9
z+lZK|ZNfI;{|Ix_jq?s?xbg3BWp0<=Mlgmpm>e&o!+x=pfim!+TVwz8&Nq@sT-trk
z_CJR8oIf9yJG=pL_3o79?UI-!O%BtHm{8AOvpQZW0R4b+4OTWuygIQl`6R&t7vt=V
z(sx3Tx%sw!u~`Bdiq^hIPqIPi(h<)SYwLU;K2<VbDS=<??p|#39H{61`@1r1o#S`i
z?}+;<fy%(7=OcOCsGF?XB}v%`nYz(kd)Xzy-_htV;K>JV^TM?lZW(-$w7U8Dm?Vtv
z#umq{ZGh{Z(9_nrvgleB*5Z=ih=Z$}H_bE%U|^(2oIXSzV~=acl|`h`!zR9Rxn2kX
zL6bG#wkx76u-ZP?PZ~@uwI1&OMBrn>^k!wh5**#y<n1oXVD{6EPd|Odu`N35Y{)GY
z+|An7CV5vDTtDXbTmO+nrK%>|zG*cuDcAH=F3RC^$~eoFx6;^oRluNfzb2~VTH~K)
zD<Eg_hNQ(_S;TGX=gm1rg)aZi=h8(K+%A8)d3Hq((%uuRB30Vp3+vr_M{Rw6U+9<e
zzfiz%r)Jb3i!LI<l7EhisbkbB{Pv4*3WWVt8%!+pfTyQ5e_zl-B<t>9zwMN9Q|MAp
zq?bM%>&1>a)3l-Z`A>e5j4EUvBoznR8^G#JeogACE_(O#`OVL&!CgRUSM`FyI!}8Y
zSBx@1Lbld&OOXcJLIqPjcNpT#@&D~Rs%eaOWq#$UTeYxOnW)_BW(dXn+nY;S&5-k3
z#rCi-71ZgpjO`r;IM7#p=JAvTk}ex(`OZ*LT>5uM?k|009`aPp9s~q-dT1<oX(Qs{
zg(rq#de~t&zfXX$g5lD&#~oL+vG4lz(>t!{Kv4B%&i%vIIL|M3voui~VX7ZO&O1=C
z*l;^WG}LDO-BK(f>%1bZtYdgMMhz@hYT3hDw(wg%@bGRc6}SEhRST$6pnU2m{l#2c
z*yLqJDXUO%>Nzc6tx*Qd4|WFp>9fUBjPj#9H#N~7^}5(FPz1BJIR_oT+rq@s<muiN
zb(l09?sO66Lg2UBlQ9{#=y_XkP|Z~pMdIJN>{b2}r}OEizv$UQElEmoWk?CJ-|pX1
zIo(VvWQcZKeP)B!U#+tZA&U5ViZSi?_hs7k{`(iDHrQa3z@LSf89C&?{aRSb%1S=;
zquqNHwBE=1Pbh9YD}!49ME>DrZnClaSSU-C6*j9K<#cnC#LrBps;R^cWM0isXP(%4
zAG_%x5!fYyWw}I|2ipb6)Q_9bSsb^7$sMN&+k64=NOZN>#0iqpnS4*WdH{8=`a#NL
zUd)!QJlSt5M9$3%r>439{}O`ZqOY)liF3d4w;Mv_*oPe%+mZ;RuDxwZUgyLJ-Mx2@
z6bX@*%53|pu311*deoNn)B>?|BfvK3u@L$FXIh}oQ*%6EdTM%nV3cTWnk0))36V*k
zGVL0_n&Hy93p}MmjfCNqpD{(7g~+?pUd1^KX1FT9@4;KH23oXOdu5HF5ZS@*T5#Ul
z6tp>)MJKc0v`@)DUbX%bB!3<0exi_U0xIK#cg3L@+P>Sv*ME?LWZkE_g#*8hp|nhQ
z|61|_ZN;ND&iT0@>H3&d*kf-D`@k#aexm<qOPj(ncdoBr4zM<JE;K^YpKTADuh5f9
zEdH$?)q<p5QXC~!!3f{@8Y^g>jAYEJ$<3}Q!Syy-ze2lfh=vkzxwnhVq?XI4K{i7n
z((iMNR<w*EF31{D2Ig2v$;A)0Y1f5FCY{SeX-^H%>$NE?tc9Jlu`4{Xz$;9$p4s+u
z!q@<mM|X~`-Qy$&CLYM0$P^|w1l2aiHtIuT#5Lxi4>vhz8`ov&CPLEbavuo_)rZ_?
z4TCiyUh-{~+xtCYqT~yiEUpj2`Zy*oQ=oN#kBoah#M-tjO4b}3xcu#%9(um~%-U|f
zfwVk!-6U;6j7()RUG6`jhqmLgfz=B9<nbH2h9`I>$g~?@jkX%=A-VB;<OMDP(r@t0
zQD;b!YB65)H|X?mDyMAu)QSL^>EbT^Dq$lTTIV#S->3@<+rdlre+0?cY3?tY6H??}
z2f-6{xw`m$1~;}W3z589Qf$k5GGuPd{wJ%+y2xYrx=_O<LJF%IwMPGwA$esD1CwKP
zp;Ic{^*~LOth({eeV|E})QB=Sa6P4q|1#+x-1HP9cTLSvj0)t)>!oWAVi$Cw8}*J9
zNfjse7cF^HZ_1OSU(#z@?&+f8Q`=+H9tkp8w(_}pyaFja5a1p1UKcAn?<Ku6*hp47
z40y{%Dw0NDoF6r<=;H2JcLsZg6gl}UF7sjtg%qdnQtP+YgG9Ty)jX>VdHj-n#?Jqg
z$gZh-l;Ash$oyNZ-uqsLJXJ3oy|`7GEE@Iyz{jeO7M@!sN(r*$=;;fM24*TG_p`mP
ztz*}FvJa2-PFFedq=TE8n}{lDv9o?fS<nE}4-OU=h{%)unOCG3dR571oBy=NzA}Ks
z868i~9(mF?Zm{}#vKpBm6w;I#WQd>LJ3~h9E0ANq!;D1b)yaY=lPnu8BM3E{1)TI&
zB-2lah@VSQCu?M7RpJ<ou{0HKl*vaSb8MsRcw5y;_SSQb-+me+m7b=>QbHj^dvnd=
zM%Br;e9OHvbtcFQ7wJ@SRwA$OUO98;i#plY%^N=b$`mr+BTKK;E0HJKg+A|!R3~k6
z{WrU2nc;A&_{298Wiqc^+UfAP8hMEOa*6b1bL5c3{BWW&$>GMse_U0KWHG(8toJ_)
zFp5jnDwE1&P{w4Jw5}>C^4~Nq(2T%=X1YI#-;~L!pI7f{a;cD9v8xh&3k1e3J~Dp#
zs7&%3<}2<fS0X!aoz{4|?n?r#t>?q<DU*JbPwfMa6q09PUyRf>pm?A}Yk6G{W&=mx
z&F>UQQrVd+r55;+%ga?ftVD`(?Y2zNTL0IW+d9q@Kt%7-!soq8WcHTC54ksF$+J;=
zL^YW#5uB)WTInr?Ea&lKQelxHSBt*0q;Xh6GjX=foRdNdD^Gr!X4y#ok<w4w!C;AO
z$zS(oEEUQ9YrMjt8sa2fS)OP17@z_b@qIxGWNUn9?P!7s`QVC@*Po9--ZEPW?SeeX
z+-NW2s3b%>Rn-3P`(40b`SX<613A*?@2u)BRsr(HzDVB1KwyKuS%FiDEa^^$iAig0
zAf-BkB8M~p4nN{V_g5LRTt$T=iponKzh9QOwVlA0&Bcyw-=xVc{HgRym$*pl`pGl8
zP6UoH&pmUJlp=$?{XU!v;2_UQruVg$TA(IVb?4OxNm8Jyb3bbt8@YB+ch*_n0uCF0
zNtq9blZ*C|75>Lq$pzlAkJ}Q=A>!?@n=3?&yw2$zs(77+{2|@m<uzr7)<P$?)eWK~
zeYfj;KPL-0eqXUNe!Cgce3Cu)GzpU{<lFI2Uzy32!}hCn6{bj$N}|ra5F*dq7X9({
z8#9^I`;7M|#T0T`D~-!Jf@Jf%_T7!5EaaXIXY&27uJiH(zQP^V0_5T0kF8`f3%NVx
zz3W>#6GVQcytuu<PyQbO0RR6CmxnvmeHe%BJ<hRLHpjs+&au~dP*PcihKh_LtE5B`
zNk&E?l@&rmLn;z-o>CcQl$G%&rHoR@4!!<^=lXqr*L{C(d1sGr*@m3>d5IA0dCVA=
zD2|#+TZJ(9D0RCx7Z=uc9%)G)H3FH7R-KAZiTIk@wMXF}7aqP(y>|A15fqS9$Ddjd
zks|k*<CO#tejW*ZcIrPvm>l%mG&e-R)`u1)Le9K6XX#>G=57dv^bXcv*#xA;+0JL(
z<HM2e3>C`}0}$LeL8%WQ;C{=!2C>Ql=;6`z^JuUEBo8m1O?M%nS3SqMq8dT$(i-**
zTGfa4Rq?Fb&ID{GU|PXb0$!_kiw;iLhw0+7n0<Z(JfoNLCaH*s5vy@5kJR;Hiqn0I
zLIwdx@3g<UmMesZ#(957HtT^&>zryr2LX%AzPyOIDUA7fw%i+n^<XUC;GKyQ5ouXm
ziL)<7@Cn1$X+lB|?zG-`&31u^ZoWeszD$cEf8vKI+ZGzw@RY7JvI!yE#qthCJ#lO<
zRZhMgO9PJr5AWzqA+$}l2+q79fq7y{rWdSe5Fb9&U}7MQVb(uPndc>u#RdwacxZ6&
z@84pnNn!N6+y^ozr7>6ZUy||w6^_4UR^3)Df}gfEh4>0=Kw4VJds-zGZV%soy?Rv?
z6XGw}sn*Hjnu_A?<JnXw5j@rGnIeWIl;&C`kVm{He61mo3P%?cOmeftaqRFVc2$Z3
zUaZ`gEF4FLg0T{6^<xS2`AaIzQdY!?)ABbDr%+*cumARv?~>RZpz4#YqJ)7PdQ%2(
zP+{}T0bMCAX}mCexMW&O8NUeg%3o@t0>}INZ!(f(kS~!r{hNgf`iO-2makEv;^U$F
z)Wr>G<H7n$+gTNTNIe7IHZ+(T6wIy+m%~_U_n9AlB($cUOl>Zt!RjGL^?PyhI9BZ=
z92cpEvc$uWhXnLMuWA?1u(JaC3(z0lP9o#G3VW9m>3X2na7OW@nj)UK(B`%|Ssl;Z
z;aek;^`R_f%s7Qf3EKzH1Z14nKz)k;WPi6lj3sqJPoEMN44CPOxM<?cCY$Rgt{T9*
zvBkmb70Os-+!oNqPeIRFo#^pEL*R(0oNS0w!D%<{?HNTBTooDgJm+ErVXNfp^^U6e
z@8lU)Q7$b^R1jCF-)0Q;T-2yX0wmmg<GOmfi55P#;=ZZpXacHb2Oph(PQv@woNMH0
zT3DA~U0dX43W{sOPg!=Wp$%z}VLnMgt;m|HX+JZld2oK2rC$wy%q7#e9HL<ERo^>)
z$IW4@0Z(2bos6e6Ty%csYoeEcVeWrn7BE3=5Dq*~MwbJ{=?AZ9puwppx?KKrNT?eK
zFS<=emL9U>4HtFf>ShU<R062Eb9U$MTV#xLyc#9*Sq)FzX!SjM9-vGn``7IlGRo1-
znWL>p_?M)$Z)-0=&yr!>OFc4n=JscaB&eX>$+sGv;+C*^yrA*-D>b~LTbD|#Q9{SO
zBLhM<mf&|*At{ljhO1=3sMb*hZ2s*2q0!S4y4s%#eK<!#buFV+RvCG;X5Mmje}E<M
zJbxAc{+TM8A#bzSOBsZMf2KX&mT)JFmq)Z;1#_;F7WHBzvBTNcxy;TI<X!coBgU1{
zs7mo4U$ht|=mc#jAz1>ue3;GepGtV?;9#?BlQ2?Li(+c#0e&TFBy1g5#K^i>!#GbO
zt`gr}{9Ow`EY$W9`Ko|QTV9iRvITI9)h%WH2!PBor{KU(@@VB;e&;5E7p*t^dA?f*
zAi=z9W#qXW`V>n(qARWQP$koK@--cp(j`U0+BcwBubleS8+J@DvkDqjro(0N=K<H|
zrE&Wc@zuKDtmxB0lV6Osfc?zNJ=TU&7~jiTpM8l1HOn;?dHc*kk2A+M__72#T{Aml
zlE;jB@zFE)b<LsDqr^*vAdXC~tkaL!nQ^vje6L8d83^w$VZV1*6nSU!c8nqu&Qy4v
z(fV!*Fk&B??JI(pGtUonzhuIxJ?Wzr)~2w~<*2!6z0N!Lg`LREjN60{#;cZ?Ky@Uy
zi8lzL7Rz-D^ApTyOVcx-<}`uM6@4CseMH<DmG{R$j0GLe9BA2h#2A#sojpyj5YT%5
zeZi+sESP_!O{}Qj2x1yOda4ZwV$$~>?W--UcxJnh$oLi`_+nCj^VbUj?EhoiHqgz6
zjkKi$yPg|DKj}`%j!*p9SGUnyd5s;PMg;!i);EMCzv=JaDg4+x=RVkM$%)0hltGya
z16UrODs_9nhaD1c{C*U0p~`J-#ywpFxOw41dE$OPd@IZB?z-+Hvl-XOk5&4xblyHY
z)|d}V_w11MzsrlvJJ<(af<Ew?&o*5HKK#+QPlVr%A9L?`{mg9FgTEZ@?>$2Jux%ex
z@kJFu6ssq?pYqm&!RtpZKW^c}$4)at?Fj^oIPKDMZ-oY-H^xp?Z{x>E&I_Z`sYHB4
z*AouNr9n&9viQIseylFZ&2KCg!Z5Rr5C7=v+}kR+x9z0>3N^7`Wp5S6bhekHFD9rU
zxu6o3SS^SJuX^0Xc|=j~^=SpMJSueCPFfWB6Y$f^)z=&Mi6Kiq@Q1iiLAc#yZ#f?k
z?=d1AKD-h~xjW}R?-rrLDU<t^uU-=Iv{Lh}xs8%2iRIzGgSuc`BgwZhRS13f@0d6J
zCxtWFs$O>Ybs>Y}+}5H%Vf0VB`pe*w3_e)V>}X5Sh2Ko7Q@cGy@R`cWp<nxCk*+l7
z(;lb`qgT^8#sWm~60z#Jf}%W1i=WTkvR@Z?c$0lzu6u{`tH*I(B?W9U@VV^brVA6k
zw|?8K-#7DRZKY2~5l`}^O)DPMg&e1^DHTGJn5`N6wQH*qKIFCE$sDZ<mzYbA^Mp&`
z6@H%N_9M!uI;_v`d`B1F4G!EBnw7=_fA&2iTvx&VrkKCU-*jOxaWs(<zX40DJ{>md
zRK;{b;(L-l6}}zbN#9J7!yALVvMPLP$dYp`D{tM8#4S@N2SeqNW%X@l|3)(QlafYk
zMQCvBtV3|t9t8|8l`akpSH}-OsHyvI(jZWEtB|RUB6f$%FHRR~pj_HeaIKRbaIVo-
z8w{23ykn!&xu=>~`JYC0zpy?`P6(xxXeeVxv0SO$6AFsYL`7!*)(2=i75zq51x2cb
z$12mbaLl*pzSvg-sBP}N5znuRi*GfeZ<}kQ-SwcsgrA1s(rWUd=8r1c-8k4h`&1ia
z_HN7+<u-=8$IN$Lz9V7Dd*K(ov)UN_Akecx&jhl@@li>p8X6Bsf6e`=jr=1rUjF{3
zAV<~VGqxrpar4W7t=Zc6Ea*nnyJ9n_662gY&_l*Ug5{U@E@<Iyp({7vtn=qo$V#iN
ztvXiFm>eBBv{3(u>yztjbU1V8WaPuk>R6H_{aUnH6XO#fW*G?p3>R9N(yG<*yxf$V
zu8jtM+q9<Gn*yNO@s}_0p*kuVspg+cAmjW8yZpB0b>2QOeg7y@9jC6J?0K0@LgAgl
z1BYEL!DBk7PHuxb8t!5_U6QPVqvuTDHsx3XDagX4G;{r(^tW_&2Pz>?%$(73vnAXc
zUN{%<RSj$2IrNR#Dd0QxqbJwCSi-@>6Zh%}YFM(#@qWZ{S?o^WZGQaS5?+RgHoTN4
zVg6P9{5!Ey_@DWQcMp3kq0_7|##B-jHHeo+HhmPs{|?Kf3Rhaf=keA!GLs5Q<{Q1K
zIwy=5l&Vwh;w+&^^vc!?14<aAQD8itO2C?l^4Op2z8n1X+*hnZ5oZ#g1*XpNV%+5R
zyoi4Ql`+p^1>+TP{!v%nuS`xfQ7cq;d<f7qSi56`hdd@puk6ZL_X5RL#6EE^Kq&iK
z$gvn%6fOTGXtu(HZ4Tb;vn&92!{^W1?~%cCo5D`Xx~?+F^2BGFPIS0hFmE<#FNOWr
z-4BR#E-@-!DCBOwW&!yPe^`~gB(PRiDl*V<fx)Fa{Z{_7Ib;}y1zx%)hJ>E{UWwat
zjJ|?sOLek2yt%yXTI-AmUgCEMQGY(m_$&U$^2Bj7P)i!)%Loxh!CExW3z=oOsIq3g
zerXEBJ3c!7CnAKOr?%{Vad(!{MPTc>Az}(oHC%l+3=;6?mob|l*EvSS?(iMH{wAPd
zqBT~WB8c0+Z9O)zcb+k2d)m?Nl`))cJN$fS2|vD-6ZC5@Utn-=B=&|X8bf4SdeF8N
zUOdoC8)0l*Vi3K?U8mxVV0&<Gvqd@&@~1iPQzHIlG;UDyZuwydBKFKJy&l{s+U(8s
zk$;u3lPD#?zRM7vqkG$HA1-83%GDj!|HnwpH{vXMV*uecb*Db&abirk$Zy#OCL|S$
z{Jw5t0B^c71%=o-QPZ2dr*e%M-<~<b&HPv&46fISROWEtg@*D2PwZLo`SAPrciQ^U
z(HpJcu$Ke-=UWmg9<rfDoplONg&s6MX%4U1$bsT4*?XGRIIy6(Q@q(g4|b8ZNol%r
z;Nb1B&<ju3z1DNAPx{5WFAi#c&`9P$oq*DV-`%;f-%dqngA)xlI@LYP{>Fj5k5^Ka
z6?pM0F(TpDS1Q=tn2EdR&54`BD@J>m_>q`Mzfu!Pg^BoYUw*T3;mUz-%MK<%j3l25
zs+6Jv`Es<PRWlc!Y{5eQ^&TqC{}C=*uM0BPMMm!*a-(nc+RMc%A}%;yVz%<tg@MB&
zy5e;_D6u0!vTsTVD?B8)PmAe-*OM>*x_|IuX6C+x080^MlHv2wf2RYq%_f(HEcsE)
zFQF*3OcVuc^hBl-b%2HW;-bKF0SpiRxcf0h97+GZ8>ZXqz|@p&PLU1)sk`nte10c^
zCJ~;L50W}i>kc+$;zZoT<}Y_8NeTt7$`1^E(uNJwYYykv|F;z3?_C=Y%HU{6NF4KZ
zZSa`9_DNn%7<Eg;bEG_F(RugF8R<}MXf!7N2y_;~shY5XKNj+M`vQC6g#+5~aaa9m
zr}b`H7#|s1-LHT`1Rtw;KW%7!rEi-zD~5+RO);WU6|sWLReRS(ZCJdYt+5;+fl8<O
z@Ate@!XH{U3TJz?AuXqT<m0L&s>rm64oRsX=X;)q<qA4*Ny($sxl9@lxlNeXpHM|9
zHjg!Gpbjv4sY0S58*ur%(~dX&BorLBQDJJ;fd>0csruX3_vGrhlbsD2-&B;hireTy
z$u#Z!g%Ww>5jx5h^H?3V%ao)1`qn)=)K(yIR{>k@kGk2)Xd)L^{gLwZzRRpS@*}cF
z5j8F3RLKz()O9xB=;TU+t|E(jJ35q5NNkpB@<I!nB8d)4pa<LaeErU^@8?hK7J^0-
z+L$?TvA}eTKCEqHv{|vN^H87NZr^boG#AS%zjed_*l%7T%!!ilMW3FD%|{))qgB+c
zTVV*-tOjDX$f@Dp!`$p;Qo6_;?HQrQV+;c<efFCr$jBI)3@Xvr#o?Z(=0+z>;Nz6{
znTTaFa-FDrEvc-FXL}<DynmR2_Q{oI3PT;kc3HhK|DuDmK;MtbKIUMV2KyR4G*IF%
z?YBg*4)z8ZPS$l>z<`CtCWRgi)O^6b`0JuJZhR{DWKas=nBUxs#r5y<C$EOS=NkoG
z?1Vfz>Ht2|29CSvXrg;5ompp81Gya4HV<yIglF;@{|5Lq(MjI8uCauS?))Yi-x@5z
zLdS4UxKabp9g4JD)ghriU&N;o1uJkWJ0Nm`q=9@HhnE?J%J^ttqm6=(6?{Cu^wiBy
z9gp%6qI|j6ch1B&R{8}i(2&jZZ;2%1)Y0u$YHPA6vrE8BE6WOw+EvNR1gPQm_;02q
zs#5sG`{~+3ycHZ6&Q4D=Az|cEp=!t5qG*_Xu{qSs3O=mO*L2OO;Fs6dZ!NA8F~&iH
zw4iPUEe|QLZs#iF#(+s};y+%zqqAnlF=7d8X^G82W=eSG^is{zTXt*|?e-<6TS8j$
z!pZLg3K+xjap-0S6F!c%`)I9i3B?M$RV*>`xQL6VUD6gAqu(@Rd^!PQ!xD%Idu8!>
zs~5MzgK5T8RDXJ75WtMw#3i2((s)@iwW+UsjB$t~lw{8Vz)bpQ(&jITi*`R%pI3cm
z6mn!~elVlMBd)*WdSr1t#<=+<NUn!bxZ>z_AlL%RGM2he5k#@4D#gs`WGjOj#o5<>
z!yIl}D_z!56vmy^`C*}y*9^M{!v{16%s|CWnZ3%Lh-*rPhqr0JWLPjxe36qdgW<1t
zCv1}iG2_9n%=VB5hRtMg0q=TWD;bWg6yD{-OFyhXMH8DCV{b0~l_@fT%<b-}iqbqd
z?;S69-l?5ot9o~M|D-Xj`tN6J?B>Kp0@wH9EnSRHV)pbG7RIpk0P7C1UUp<ZcK*=a
z@;*i|$&{j*Wdz%5R}Z*LvEg=tpj^P6A%<}++mXmAL(r=A&mGEPK|{W)<N)rk44VyU
zUsIe6fo;v|^>1fpJjI_YJ?{6NQD&GHWK?MYe7uckMJ$={0{8g-kcn}|(f7Yz?v*tF
zwzGOSDRpa%hp)Udza~yH{v;Kj>PglI@{X2V1&39}-dOH)#G)xihjx8#@~R#T-77Si
z)LCH!XF7k~l03s0Nmdy04Ap~l?bQ-P_rHvNH20>RakC7!)t!yjlQdYl{kkHcW0?_h
zFT-hj+C0PMLC7t+02*NOxl7ft%Zwcbu_k=?78&DzWy?l?u6xAr*M7l}WyYy<29(9m
z%M1z0^CRiUsIdAs?3V1cWkzC;&{qN7Rff;@uaOcfy3mQ$ckSku83Lp#^H+uc7@IC#
zpNL4(h0G(ue;>yGW%St|)jT7`jK#wwmuFJCVC7sn&%bSj@%J@lI5vU>O*9@043+D^
zff}on7RyyePmSC8ZBwlH=gB+kC0iY!qy!%Q>A%M4Y_$s;J<E<&2Gy~~@3g_M+=4~8
z@gJk@LYQi<E+^hl>7RKkpbaX;ekY#YWx{LEqwWl|aHB|)%F)?9TJY-%*=#(G8LzYo
z9tvLK!PESADMAk@5O?~lqjee!ey*%JttH8iYktvzdAt-jF<fP0be9#)O&51>IV6b2
zQGRKvp_-s+J#{>4lnq~3*G*rXA>hFeCja?-(*U<Wf5?2BIMAadwp!U<2yf9?H&DGb
zAj(4fk=z?j)TtnJ*t`}-ox3$_S(EBeY!c^73*yGk&$p%n_lu&Z;^X*t=hdO7hcob>
z87~SPRVbE_5J!gKLZ|~p9Wr6CFVu)1zxL|cwJb<rQ&eYJ|2Hx`pcg%;@Djwa@Q(dc
zYf@+s?UxZ#L56MZE_N|P1e8crq;zO+z=Ov7jqYZUp(y*?wgYNHm}nP0d?-Z@#qt}z
zXr_>XZ{@A<-Be+8H9xmSo>u`cQx_t(7Lj52Vbo(zqA2$1XueSJRYVVA(toeJ$&jPI
zWWe-93>9}g%`@m%!n(@M_21U-oPX2kHE~h`n`fmO7~U#a^+=g3;(<D}<=Bok@0Y@p
zgV~?$SxD=B(M9Oorva7u=`-qwWUwbSbN=9CHN3PqwoqrG33ZozwPr8LqNc`Ju6d|B
ze#tP&+2uw7Mw9=$tHJVUW9Pah#7q+h`4S7qDz#v%K$X_P5(Qj5$$sb=rxtQw^s;}W
zp#%RojL)i$DPr%e{c`DBZTx!7S<XjM7v5ZHI<whO85h2|g&NfB;BHVMEdv$yHo9i&
zr>S7rSI(fx^ST(rpPl?7kp@dy+_e^Cs_2n=E91Ey6?MMHY|U8GgX1rGhfdMe(3!qq
z7XN~Z2b*nc1Jc*KuTPk@F@=nxw9oXriZt}79nE2~GlH|59FFuis^e`h#)nD=8pczE
zOx+YsK*zHtBWm4SvoSA!sF~AHZ}@8cT^=)FlRUC8I;@E~?(H0>MyV(^U*CUZ(Hwl0
zR|YrTr{Kfm-t~m7RIGohkoJ9$4rrvo=K)%Hc@tmtdWYj!-K^*8I_J$YbT&C<YGL-R
zq;ykr9c(ubb$C%?3B8q$7M6ut7+-WLJhh5~gr)B$ZhNetb(1L5s<#&2a<UrXxu%Ys
zKYXZfe^|jydS;RHCkmdJ^YQy*PQrr++hl}yTf?K*?hk1~6b!?CnM2J=7!zwJeKyY;
z7W<#(onY6*XVD+Ox9*e2YOS*JnrGJV{`h4hPgF-$UfrK()TGdfmYo&$$Qro0w#+iw
zlX0hrLB0|}1P>;>VEcE$8pc{?1@>2wP=Mc5-cE%dC)lj^UbVG`F4M&A&p1`lK-<<~
zV<Ib3v!!^xOj$v^H#5(VZOWK^)bHK>@_EKgA9uk1Br9OwsVLH&qKG%n6w*%`d|~YK
zPus~RZUxSb&m9Ci<uSbX-duj_bNW-;)U%@3Ey3JBqwL5wSxjotRM6@lp)U@cby-zd
z-wz{NyV^yh@wmE1CCB6x-BnG0c2DWLPtDDW<9H;{x_;w8?X5Yw0WHdqpbo$@ZTn4&
zD!RV&ravE=SfmqK__IEE(ZTKN=Ee;dg|IL-v*zu}GX1rAaM;0c3)t1Y98;l4KzGl~
zO(3^Ickdi4c$Q@jX2-s?9PeA_gGDHFN74%Y+1C6fa;+I$?~?gl+{=jryIcp=16Sz3
z`U2W2$4tTgVsE&MDH}TP*-94u^_R|NQnsKZYYJqgfa>BkCS*VEx+<^pm+n~2enxVy
z33U7w$at*3!kFjrFG#Xmre7;9>0M7@cs}ecpG;g}xDtlh#CI>z)iXkEe~uf$q+@Cx
zPwWiiQ^M12OJ0lg=D7&f-zG+odSdv?;?z%u=jTPu%!mcL6@kFsk!}d#sWT;Ft=||=
zRPRY>m(J7cPwanA`(*$=*MuTxmOe2~54^jd|8tIB=zf&Y>}UXrF$shFT00rX2!{yu
zE^~CxdX*sCDt%}v)ueYfHZTsdZz`VtJWD@i8EG1-pbyxRQy9yW&IqD>SC7h^rT@7R
z^IIrg4=U~iZzk`mrPpnvr}YKR(&M~t3M{heLBlauw}Oec^tekMe)C6X=@E6MmP?T|
z;QOoN7jd+Up4+<`cQk*NE-4doc4m<ZwL6GCFAnw7i^ysk^?zpR=8mR^UWHTPuR!-?
z`|J>%-_VlT`S={YHoG;)dEJlKHg$#_$oWE-w{&28E;mp2_)`;_cup7CZmWix$bF-0
zP8iJA&d<}QHdNep5YUC$&NY@_nWOZs!8dzdmKW%gTFsQKJRJzawB#a|3A(NSecF)5
z5`B7hM%_V62W<bC3AZ2rNk8UOzaW;nOn(~XA^#~}8+vN}T>Sq0qC20uGps1TLYFVF
z098P$zfBo_ss*7^J1Zg^rs(>yM+XW=SLtf4%nJp-DWLCSH$EagL#Mq>$$#+uAN|Ti
zj)Jrn1>}YH>#fEAp>u~zsznf(;bU^vR`+!e{<|wt(Ze-Ix5{{PV!J&H<Y^bAM>8~F
zDnzt8Vf|hCZl5%@y~hfq<g)T2Aq`+prl7UwB0X85QAA9K9TbA|2=jsJu+rb~*c+DV
z!J+!3rU4Fc{@UcuXd^=w-?!S(%`5bO1mDhvM_j;a{xZ|WhzvgWry}X6*XWwE%0HW{
zdB9%eWT|qQ8jPR0-WPn730gislUbVPgMH78CTf(`Kyu>W`Ty#ffs`}B+U_L?-t67m
zU)?6bWxB<`_ZqD5U$*FdVJ;%r&8TFF8j?Ufxu)b$4IAum*&~-1Ed>4iUD1y^RN>x-
zOPeQyIG|Ug(fqZP2plP>4(|z51^KsY<moM3Ao5^FB5Y6;LKVaV*3?yD=R&)-;SL_K
zzLGwBzfm0Ky_Yp+f2n}Lrku>$3w&_d$fol6kR%*AjeY~KR6zdr3-fym0x%nwmhnne
z21cc?3PHIFWQDkID{mt}MXw7-K%p#LVB1Votxy5m6G0E;KnQOAEU`LrOCESuPBu!m
zsQ`yml=J=%!r<C9$j>UJ2)s?KnZTn8x#uUwQxZgBj4!?W<ZUG|e)M9(*IyN0N!9Kx
z^Arc}*3vuGJ5*pabn7Z%Ru!xl8zT;TNkSW^ibtO~3C?kxd3xeL3BHWh5c!j(!L-48
zvUN@kwv`h5V)NBt@7Rk5>fi=g=o&Q?8CM6-5F>c;mJFn{I`L+8c>q44XWM^j!m=p$
zvMOkRw_DV{-ct&2LHe=X_<|OEX7$%?WTC+EC2#%uK}85U|EResMh8x3Ol{pItqmvN
zHEmwCSB4YjySP@PbU||PjW9Inz{eoF!I2gfSd81qw>5wYnjx{@PSL1f*tRjr+kphR
zvu7t;EoczDQP^Ljg9g)C$Cv(luLecD29GS)_wjA^`#6=S4?{x4K`DE6(D8n<demPJ
zY}$u<)3OXf(P4qhu}TA^vzI%W%JksCa_gSmkBlL}ztM8%`n@@qM|~3t^*~6|ll)=S
z6!??7qZL)Op!|pK<&lkgFuUkkP@`%ADW5`)92C-qq;D|tD4hn|Jq$GLwE(VEjRXeO
zYlGJAiLvx}DqI<OHV|%N2@Wfg2I+!2U_X*_Y*kGcUKmc^Jw>qs<#KP|vtl|B6%oqv
zkxLuepB^K=U$uf#tLB`=uiD_wJf<(>tO5T60096043}p-mR}gh$(D@lz4v+^d*7GG
z9u-AOA`;3-B@vYdrBwD#R?^={gh<_o$Ou^}WR|`6$oPAEUYzr}&bhAd`F(xAI3F9&
zG5|jbl@CJ(ia<>{BkX@#5+1)8XPV$KgtwFVq&HRy;P>==VycNK_@4jpRo>YULM~wL
zdo1!`5S?}{;JE+@9jFP{4lsoLAUUCwXjw>I_4S(F=75RJ+mXhuhF~@#*KRr}4Km?5
z?V8NYpv}-Qenr+00`pH??xB)`Xm_Wiihc@s|0=y=s>=Y>2G3$bY!c8Rus*6$xP&p!
z{};yMVE~&nq$FNWF$gKOKE9_=j5)chzxh5*f-C~nw^KYK5FqXuWFRnw&v<hhO1hCi
z<l>xtyrd8)g->n~l{fIjtjiJGefp5w5tF3zln>HHg9pTH$dH>+Y}_GheehLmGEUm!
zg06J#TX~l#&^DE0A6)~$Un32Ni!a&X{&(kR>XB5a_5`y0NCIH?u{`!J<S?{(#LI-Q
zP$M?IC{E7@7^EGwWXsWK0(Ryz#eOw3i2b2<IL$LXKxLul1<2^3d2TvUL68=OD%)pf
zWa`4E^aSOOCKWi-9+}mUp+#DmC106pbYN~&sq)_>8D#S2X_W5JAm(OAslI7#=(v_&
zDsy-X%Z%z^m@TA1k$b=OT?Ms)@XhJ6uD~+pHE8~K@hA<-NY<d;KBEN#B9z~#S|%}z
zOgmecrbf>eL~K{mH6bT2>eZl2KlW#+Y0Ul^HCiO1_BXQ{AQdn-m&x`88{j{E>m*R4
zf0Mly;rbfDar$Y$wGYBstHjrAX{b?#M&vq6syejTQw^Sy_=O9+TPj!?r$U;Sv+y6=
zYH;tR;f_A(5AHIaG?qR}g>GIhyB=^}4K9T^y56dv#2GZCqs9+Vqgr~GYlYucA*p5a
z^fi1Q|6V<=QKC<cW?qCaXzQy&88bc0@ysRs<MCJD?qpG;;8QP{=F3&!#-@w;SM^nV
zO5*I`18ExcW~L_KwXzBr_DGPs<gMc?3g@SPcF~~sYo{++zE_4NPjCMynk}6As(sbN
z99m@UV|KkwQyIeI?26ZIw{g73L96&B9a@oeRwmRc!PVm``e843aptk5i*eQTh`n}F
z`RWNJ@X=zgG504!sqc@RPd&tdGP$WVUyl>P<3X~=?M!mi_UXoVkI+NtZ%<<FR0t6+
zpJ)8b_Uizu7c{WykzqpHv#@erkO=P$Clph7D3P(JQy6s!GYTR0<{N(@fZ#F4jN9H+
zXe41lz4$&0vYIsG{NY6aNl7w#jxK8SD9A1t&p3=$ch`KK`3N99m5}wunilQxC;d(C
zV@0_W9v9NH6~V)O>R#X^9lGk|uG*-?j`rAcg;WI;K_Xeuz9#J;I&^3(WGI&dos6l-
z%*;`M^e1*o$nOx^k%DWtF)q|nKD~!w3UD+cue{KQ2|bUJlG5JbM)ipWP3e>JU_;t7
z|5MM54j0}oPw3)Bw=P;fNPR62MMZs?DYGnSPy5L2@gMxCNL<qNWRN@<8l~$q%CI8e
z=?4dtcLb4PLgP_GcX_a_JxVIS&4wm_2PTG#3!}AzZY63y@^G?AU}klO9R(T{bXGfw
zpq>TCOoteGu;iiW-MP+*j+F?z|Hv0buV=0x<6e2_yyyAu3lBHyk?Fqh?VvdN8tA7m
zYODY>XWTyj?c+fK9R&aNn-XZq1DNjgE5L=WFa3`y_)zol6t<RiNi<ECF`b^N2({fk
zNA*eskZU~eqr%(LD9p<K!kr@oU_~46#?K2Og^1Ci3VK<zD-ofQHA;ZLsRZlro5CpP
zsmpFcoE#c)ls-J4LIk5$iVJ-yB8WceL(vIN1(aH#>1KRY3F>K|ehRA-MV?+Kuj+>>
zq7%=}eo<ahhUCuIu3jr*D3r72*j-NoD(px*Re4_p!pYs2BgG`pl|;j9r*;XbA~g2U
zz-LvURuc$jww6RAJe2oe`VmodRMP!h-0DCStNJDACxx6@?sqfP6VXaLQD*VE2FTKu
z+!A^yjkJ#pXNS!ZQT(75p2?>LO)%s8?Vb!;L?Ta0{}PdA!Nrx8a%~v8ZFR=qNfsUZ
zT^pI7O+-zUTw7;O>B6IDV{fjq%OU%jXp2}`B5KpAFfCcq1Ix&woA+MGp$q>K)387S
zvhEm+xugrwF}|c`zbJ=tm!|IW2rHsub8B6-C4g_;9hSlj@@PP}C}v|$4%wvHd|r*x
z2eWa$y5T7~)Jc=d)aWgPC=#vdzi^UZ^>IT+cZ3`=I(w8Rw?q<6_H$WKhLC{gO=v{K
zvMh>o9B{Pg5km?=ZP6tSBq&d&oo*G8MM;gb-zL_Dk<C+?6E_w~AhUZX<h+m!`kd=I
zV0BagIbDD56aJ3`Zac@F(w3!=RC651$Ql>wn(RL1H%Wq1-L?At*^<aa#c${V9UF2R
zS?hZLnFQAr?>qj}kwB@HA5Fh%Fd<&9m`dwAB#0oc__frEp^^EgpC)e5AXP^6F;H>;
zT-k+x?+iuJ)3qBVjK9c`@`dnhrA~dYvJG<8sTD?{-7IH3UajFjg5L}Z`shR6p#Os%
zGa=+_x_8*-%ryS^Zc^_#3Vq15iT}`A#*Zu%x{jgqy|~r~SK@;>0LBW*&gYvvh;q1m
z)NZpFZ>syA_E-WSXjoP_&xH%=;f^^oMqjaIUE0SJmoZq3ljncF#*S#^Wt)P;yD=MA
z`^}s<J&27*<kRJ>DEf=;p1)8(R(xP)s0P;shA;Iy%dc6GZ7`Q(faef)`-#<t=)4Z7
zScPiYK4n4@y-|h^TSM4nR&B1im<~8<^H*s|FrXu^GXk5#hOmQOb@AR#+F%xcYe$!p
z4kbtb{C6;I0HY7wmWfK&f|sxSQ)nHiQJIjeWj{k7W;mquBxzg|46iq6N6b?oMn>I-
zM+&+zrMRdjI~7f6?z^jE+f0sP8);5ls&2=6qn1@-!ZcvRi%BW0XAe*Ga`tW8Xu#YF
z=cAbh)ZrPqtcQ2}Hg3SNDRYyx3KLqemWa|)2Wrs_wM(^|_-`(;ekJb&ESi?-&|r!h
zI9RwbQ=DGMCpx<#n=TgNFI{v4YRT0g;-eUwlldynmSY@{WAp{zaz7%+;-v}-oDpP>
z&zEt(&Cbka^;TS)ay2ZeR|U4!50P>NmvG^G)IDksy6|1GLVdL(DnMpEXpy(PfVbtk
zrA74j;AN(~thHa1f$QupcOm5h9#a?cdqQpy|B)+iEUKpri5+b}uO`jmoF}LEYIH_$
z4Hh$7^(rMWYmB2%dpe7=49#3uANz}|734*Y=_<jaTC=v&z8PF(X+noNaU8#~=F`Xh
zg$R^>BG%_`&ESVdaXFDwQ}|L6xmT415hS+`9^Uqx!S7tp`iSIa@gpj+B_DqhAU4de
z;(F!`PV3H)X~(#L->oq-qj4v|rgB#76yGfVNp5c?B4H7?RL<=aURDI{TCL27zh?0t
z4(eB$RF`qR!`YCu|L=To7<mxfIfsYDo_owZyMljxbn=Pwe!e_4aJkc;dI8_kk4s6e
zUc*oNyMOh1Bo7W|IgWlc3;2yEkL^awH}Kt$Y`=@Y$^mt1%!qv2B7T6ex23FW3$Lv1
zbWu7e2R=_sNDq^jaQZsdT1oyL+&^#Q#iFe&h$ze$fB&$I$5%a;DvaO5`CYs#_i|)_
zccP>3^VSN!%JoG#R+JpAP3Bnp?@Ggqb3=iFE^D|9=iT>y$p;Yk^D9`8gEWNxaV>tf
zw2nuc7~gbJrbLhA$9hQBQV<wD^<}$Y6TkWIJR9Q@6{0kqd2v`?3cMMj`BW1B;p-2B
zTl{)y&^8mdn_;>n=stJO<}Ka9eYsUl#un(%$*5aK=Dd=yBvjt|n34?Tm&pU27Q=p?
z*%U2FlK}B{XU}_<<Y@4E-`+qaBT`AJ(<R7Cz>|=vX{plvTtW8H-ld8eX_tP=OQ{xz
z1L1LXH}ok{w>jnP2c5&{s-PS{*?Do8wW@Y`yF!I}g9K#*hgp$+hVg6$vp9Ta9~-yp
zph1?}=I2`q*iqA|W1r}n#lX1r_C*+=LoaUkp4rOgM1)w5GUfy^NECpsAU+19U3HJ%
zs)-x<eytCkyCw#^8bQzOqZm<$R;v)JFdsTOWXEoHK@8^Z>o>ejXGXQ#o*HNK1(2c6
zTAh)P7^pLQ<|l9+MnfIfuLqP1A>)(FH7U_z&>ryq%*SF@WR@Ip^p2_sI^Ws%G^bk(
z*k!i@&tG9jb=QQXrrSgj;$XGCfr*3oH#M2!lbi@LM)a%0#gP^Ms&k}69I6!WHr#dP
zM#Wu`5@Jr0h(<Km@lk>VQ1Q;GYNqlcVhzW4%45>V@l4L?mRLz>IuP(JW|tr3whY?U
z+R7q<#+|sY9a5mT5s+PAB!mnNkG`(=mPgmMbb!WQ1}3cxT*K3aQOF7ZaPsGh=w}ii
zSSZT@xm<Ci8KWpt`=vzE`$<3@OJ~Lw-S%^o+xEvJ5n`zR=PS;w0U}zWX;u`xO@NU0
zGX6pi3G|hDVX^6l5_%$V<(BL=5olh{Hc{kCqCC0N&ne$2qpsFkxL2qQtra26I-1g`
z$e2m{nyU(Oo@0HI9-|6lFMChltCm4tQj(WOMpV#x8}87bqYfT<7aWeN$su!JaorsO
zRaChibn45XCa^wZ&B}fvk23JI!p97%sCfgwR6x{${}Qex$G%rUQ!&if7Bf^3Lz@uC
z&nJ5OIq+h|dX^%3<?%MYvqu>nTM<j7@&@o~olku)K|uC_)=D?tE1}$D_LmOa*N3^T
zPZtzV5Rl)avsGCdM09y|OsYJXw9hxw6KVVFp^k4%EXNfPKP^u!pOpdFUy*C(-QTDA
ztj@c<1sN0(XIXr8)d21d`v>>NDWbmb|0TLsN+9QJCUv|XhH&A<9edVr1yu4;cccHB
z2pU{oGp2fN2$=Cm*%t+Qbl@vdv>=8LC09FM2z_q|sbeY86VbAW<7f7-BeiVEy8p-v
z6lVyb2fgj?evw8WX8h*aTo0nT)he@UYeVRjE4b$RT@q=3m`~Is+r@eQTD0F-Fo4Lo
zDsj0waWt_~8^1j@jQ_cDm!T`r0RFQ6ICr{O6fF?Oz1BVtVO6&kfOC}uIW*XzkD0<K
zfGg>vkH#AI)&2R;iykDXA2Tjd20`?Yg}3w94KlD>ZGHFlmp(A9$;j)u@}j@r2ZxUb
zP{M&>2CoP+eRy+o>~>ofC%X5~ozP%Q0}EdqkA!^!s3{O*_O)h1qlerK!;R_S%CNeT
zh8jTr781QI!Gdyv$IE<z=^-zF24}p80hw+^*6K|Ll<2kLa#QpmSZCE#=3dc*K?~8-
zmU1-cU8Z@Zi}OL)OdUCG5vB_jd-+#79S$JnH|3wpY!AY%B|}nFjt)o+uYWOT*v1!s
ze&#sCa}X}bh52>0YlB2rozOkl=evZ)vQjNQoVO})v!>Ao^8m__M~|lPwO>}t-RJ2+
zoPqnkp0O6VrXTYB#_}7-2htWzsOiD|72QDZQ%ztqTkcWqDZ^<cDF$Ln=|K8zMZAB%
z2Bc5aw`#m-#y-)4lt&;Pl!X`%`>SX`z;<czqUaDNeMb3Fq#YgPUtGZKqSZl`lIdHl
z-UK#3IQ7lNh7Q)ganQe6Q-kn#_!2|XJeKPH&Vc(G9b7hvp+D@b2C>2K-rtvA##l@!
z>iEm(00PQBnYXJ#?9Q{ZJBDl61ku>iM35djW(LCeOjIGPcJN|?+$P35^-PMPh#rJG
zPqUt@QGwf09v`P>{$X?PeLVlWcn}H)dug{xD&Xege>fp(7kf(b;x|3Q0IDHrjDH)H
zq48t>+5BiSh|X9DW^gzJEyotsxNMZ+P*V$$xrZDkGPh4CCosZlY(iu9UnLkgzB(Nz
zL;-Qh6RC&DnBjyjop<I<C752QJo((45=N>{6iGHSgO*=*o*IV|Bwi1tI#f#qxBspb
zd@W*uAVIE<*m5EqEXehnl%xTVQHF>=g@-|`u1;*vkqG%=<-DD#wBT*h`XI8N6^cd-
zE;TR^A?!_@ysgB3KiO^)*8Z^pLkv%&ZS}q%$xv4h)E|UlN9@YcBOH*%HN7fyivT1_
zRgQ)Shd@U~sOxtXCp1t{6;uKNqOPcA+MZ*Ai+}8?|5|W^<INzS76t;?r(V_hUC0bV
z7Tg~b{_#Lv4S65bD#F)czGf=K0<On?*wMG}fdWIfit2qu7-DnAB}NZJQvQ!f_G$r0
ziD)K0Ii(0TbLs{E39>=`#QFmPFCjQi;<LywRs{B=m3M}H*`f2f0J%}PFg&|f@LkMG
z5vI0(oL%YRfWTF{r*F$eAZDJai!DGA-fAUN{5-=20VeY08Ec~Od5?J>RV%{%8d@6F
zb#A!xx#4(+p*RRJS+zNH5x`M&CCWaZ7gCR;@R_Dd0Dp-zS&%CMzHbC-a0T%LR+dnx
zL@fp7GX`4n^#s`c{HQI%MGzVuPUu%(l?L+NlJQ$4BKX`mXa2rO2)Y@U`ZkATz&Xc|
z%IOyo#P59l7*Ht;I%+J-vF397-sMOA{IL?m9FZ*UY8HW$<N8Pb?0a}*yPM5rdu8|`
z+b4Q<R21wYZsgU?D?rob0+V)A6?i<66}Chs4u^6@$_5V-z{)+jvC>u*q9PA*m+(r!
zDe`$%&c_7s<1r`{4^abs{tt_*1W8C+3+S+$AwZY)cO$$`9a<Fw(Q$1lu=!+R;V4Ih
zqvfr3MIxH8bTdP;Qbii338}|*42jURA}${gr3HHfQr#IGGGJhl5&ctv2x#=ye`EAI
zP{aCd$f#Ear2a}s`c3TL%Q43W*yoRE;BVq?fGj*|OmWw~OaN+bI_88;J*eJpx|ua2
z3*l4-Pi!74LfZh1kEA?+&%+ZQ{}kn*d9;}<t6d&CdwAQYS^><nE9-?YIj~2Qm+~59
zA$sD)d)2f0P}Zc3dO77_LeRI)GFTdFG8CIu_Pwk!Ds{KJLKZAeXFna>lYj}|4j~l+
z3GV&PocSan3l%<QlEofkknpNf%Ep%jS3%U0-$e!nZV%nFZ59R}!xRnfSQ6Y^K36Jx
zMH+U7grb&j2>|!M(Z<+R66_9L<nXqa0<#o{t5VtAP}Q81IQN7EcK$2UhT@XIPxiKI
zQi2_tv@(8jT_C}uId$#ZJ>pQ@d?n~THw#oXY-I$?k|591>*nZfF{t75PMKgj2q{SF
z^M51yV68lB_=isv8cbThCr(p>xgPd_`<XrvN{cBp_WS3$#+;8`=pMFE(jB`((1+SO
z%O_0^LXgvV_JIlWI#%wtM%ZfsxHO=Mcv%I&O_i?ulJx?1M(m30Lw5jc4VlX;k9dJm
z(;?`Z>KL{;Wt!i(ivfej6($*BZqQMG8n-k38&ipVn@6L7L6VmAU78^dFcI+x_NDB=
zT!%-9BaV9T+r0F+c>^0*no>3-EY)E#9i;9b(YjzgCCuQ^cNk>V)g=vrtFVws_1)nn
z9Y}PW8;jVlU)}dl^~|+$jD<r(K8HpJg5TXrOQd81&08to)hjBo-zhf~gUqzy?^~sJ
z6;cfFPuugopJ5F~b?#!p!$>V4T2>TOrqaPqsBc46X(P6EE!L{-w<a{;GUg}jX@I%C
z<<*BL?O0Er--dyLCfto_Z(((!0)kQ6ZufdOwkheJRr^2#>c^X>@4TV_?q#b73-iA*
zs{i;)<%iVayI+ZOgVX__r3x@L${ofu85Gq|fjZD@E-<VAB?F~g9wz~^QA{ezCz=11
z8eGfFN{GtY!}wbzuQJ`3z$&f@xSwWJ17RI@hmb!z*m%4(w=(Sv#-3%TG!>)@zpv5-
zT)44~)xUY5oAhoT+f?D_DV|jU@ldjFB4_?#bb|8FM=BPvV=LMl@#j@QJE!iO{i7``
zEI{@}dhRl&oaf+kuU{F04kx_#+uX$dWs;IaU$0_ARPe|7j4~|moeocZvx)T^#W(7F
zSjRqX1>BYBSAw;_pQTakCN{f}@b2W`CYD-~PO5WJ0<YoJOOMMpu>+a$rRRjUv9IZu
z8P#Wqu;~;)ewJwqE2I_5KzDYrdE>REfIuSDDQ%3HC2wKP+RCwFcgf)N1m(>LdLlS|
z36Es3`-gqW<}pd`CI?}1H^G3H1n|w;en(-njrombonSGb03M~HX%h_sgpcRz$hz)e
zYOQbZh(=1#>0G|d_n#sN7O))WEZxOIO?g%gys6<C9TV0#tpHW3Vyid!$l&F1?^oGG
zT4-(Ov*=Y-050a5S7jSyAhXLiVZ%cYKmWwZz25gw^;NpGOAF-SIbb8BD$4-RKfbq1
z`zr_MsJvabDJcLJ+O9i$Fv30Oc`~zo9+xSKDsgL2f<<J=XD&}>s0@4j?pUQPc;{ZA
zEPg@-!44G;DOD^$8OoA%M^zShcKWVwk<$QfS~<Wg%L>Oke{Hl?$w1Ps1)KW|T2L<v
zXk)El1F0c}S#N6@pqc3Y{@*!zsP$@QW4OoxPJzA@A6KNI?PnWh$x#L%8Li!n*5!iL
z_>(5*a-|`N)BASDB}QnQJzXoK$pe(*m!ePjNW)?}Rp;;-X83jH^EXXLK2U$wSpLUU
z8pN$R7iv;jU`*h)_GF;|D3}IX)oMw@ca3{<MVtHcNX54k5-$W3<lFyon@B?;PC+>D
z#|E0u^iuj~gyFGFHp_#3-Yq>k=orMv0Y2jP6QArwp^o;dg7jx;7`VQ=d%2MloJ1p*
z>juSOYP6)Lf+z!@lm6BE=5T|PjMK5+n-XwZP=|1(T?T5hS}q&p@WT9$smL*DDd1;}
zx_U567TOLTRpe^qhld~9E0QOrq5t|PnSy*d=!(AYBts*#|Bk~TTq+CSZz;HbSdoXa
z$FY>MTEdY1bK^;Ss5~$di<chWRRn&k$Y{1;5zwCH{crTRBE+|7J`T+%fLBH@!^<X7
zh)Pl3PJ2Xv#Vx~SenbTI`%(8IM8v^*kb64)G!a(L#H^_8D1n{*frJNlBw$4|C@_Fc
z3Ha2*!n9pg;8TYGrHwvG*il;^<}XqL8<DfDgUhPGw|ZxlohS{zJ*waQ7Ey+r5QF&4
zTy<!XVB_udmw`JuH`GR5l;MRpL(IisO<+G;+R2qI3#kq<OYH8-;OL|$r0%8-F2fPx
z>~G~D)X~&_QBoOHzSg`@u-ApmG5M!uPvs%;xmDQfbS3EheOhtR41;^=K69383J}{p
zz<;of2s?R6Y$eeE6}VZiLAnCy#EF_i1p$&v|6E(~)`!U4LvM#`6@b$J7ynGX0-S&!
zF9#GzAb!)|X7Qy0Y%f~eXa67zTXLI=jjbe@wwZgXO;7+w?bk-i&QkF7W}erqsR3*<
z`dqBMArA)<^1{SM#elo>g<MOr0f^7sdK4Ta2MIdU|K#0-VTAQ^rG2dd6iR;(*D;U<
zz3I8^A{svMkzsVNtv3LkzPPc<U(#^cliYKxh#jgVjwKv;V*s56w(8r)Qjkoi?4UEi
z1U)u3oO<2{AlKDydNWA^bao;hP?k|abRtn$fyV&&JE|pp`oy5l^h>no?k2|QtFG{<
zlmuN_0Ug?$qQGv!Y9;t*43oLk$Q^A+0*xb&ZRt-6!;pXX{Q71B-hOQ3-tTYvpd@r%
zni&%Wr}d^Yd2WC3qVc6#kz@L>-o%oWx6BJCH#D<)I~Q=yZ0}Oj_I+HKF_a5-azXLd
z=3S=4Yxq`j+CwiJfQg=$dOd&GLF&{H-{7ZB{5`*63e9^AD)P6+TBTV*wN1RuO=KIN
zv>Tq^sM7<be|94yIn3}W&+^>E`#X5t%!TQSL0#xsRq=gN#sEJP>EGadyZFz(9<yq4
zU7*+Maew`U7IGPgne#%sIOT9au7I2l+(^#sX>Xte-Od@F;>sP|%<KM<myX(yITN{a
z!h;-2UUWw?9@@b_?hQswCTaoUV#Hy}`fbePxv1+&m2KS9<CjxpuO@J{87b(xtz(Dz
z>3o<>{^6PG%`QTsnoyasLVn`q64s&nSiR@u7S5{O?<I9r1J0cpEW7%320NyEfSGh<
z6TiRK@2pp^4k;rktrv_(F{5|Bd12`r_`C73GI9}hu)IX^)6}pZOI|6ws5P^WdlP=y
z@!eAc^H;HN<8QTNj`|c2ew|*&sg@F+lEziR=I*yMQruP8<5r(YY<3M7#MMqHS?|wX
zaJEO${Y?BtN{cJ^n>E~n;mCzzTm?GKAIa69ufxr?8`6o-*YFs+?>bRRDscHGGee$H
z2Oj2|Bl9VJ4YyPL%9{N~86s^Cg|ZQP@UYa-w%CC++<)K%)mJfP@JsY)(TN_!86)l4
zE|{(3w%<yve`YCxU&HZgxw;Yj&iM1SuHkjuV>r68N<s;;wCMN9lSgqEx08;qayM{>
z<)U*=1w=SSXSiTsGl5$N|9RY$wuzU;WsT*j6Cpi+>T=TF6uwQkUmsGph5z6Q{S#eB
zfS62wrjDFh{2`0A&sl+OoY8(ep4M*Pr=Ai6sAU%L`hg!jXY+ROR~N?#^uHA0e*gdg
z|Nj)(cQn`E9|v%I@4ff@_*kFM#~$yOl@=P5LZR##l9AFkdzNG*86hD>Wya@bre&v+
zGBP4FWaj7h|2_A-?z#6oAJ21c@d+!EU)(Zz^mA0lqVFF0>VMg4jEt&Kymwwi_s<I1
zE$2)%Weo*#FZveEZlnSyPF9M1^Iau3G{35&>!(B?`~y=JB9&n_k-w>KZ;d?vg<&F|
zgBrQZ2C{i|;KA{&%e;EoU-D&!Ljhm?X%N*hpRZfocqqHU$y*z+NshmLWioS}7ReXo
zZZdf&fn+JpyWe4(oIn=4|FVc44R4;ukGA9Bd~?AAJ^x*D%7rAZYu6ajn<S5a{Wu&f
zetcg2wQ`Sa%_)2RZY(o;BAXRxo23X{)_8V5c1qMA&K$Pg%8Dv@;yiZP6hTI$Az;**
z3f;;+noTRhftHr6-}<L2z|Iom>#_lAB)I3)svpFOR;KPfO%YOn$9tcJr`>2#os27!
z!aNu1ZV${jS0xWo{hCE%;`Auz9FZv?o(JXW{BD!5k%!LeC^=yYMznhE%=3vOe5i4X
z?%yeTd3cfYaqu7uGy2$M{M%Mb0A;CdXLWbU!F>S%kK+ef5!Zh*)Xyx1P+#eBis}b)
zuv6w<d!UXTEzalKRHuue;#j%=lH%lmP59R-Wi?J@S296bWfn(0bf9`6K@RXQZ28;@
zxlm$))qwS|1ls&yV@iG`2iBLy_vT1E$n8sfspb(W6p}ok)%;Tqa%vpL&@Wyzy?sSx
zdr%r(5!T)nJ0K6ul(#ruweTb9t$SJy;j-wr4U_eeUU_gkT;J~US`b~_!&&L;$|J&h
z1NGS?1?ZsRmg}ApMp6`7LpB_WXlkJU1?@FONH|FN?;KGK5nLHRFK^;d4bHbF?FkNe
z#sWT?pOiqjry1v?m+`0%`;~HE3J((rKU+`cNh0RPJCat5DoE+fCS~hSWniMD3su>X
zLQ+22so_CtDCybZCgp8aC}?U}&~uYPT+vrr^4!%?@NhxkqJ}!?x{=P-ev?IBJOhvB
zj}Xx7TQ3OixdgzKCZ3HxEsvbjcKTX)h)5u2^QIq(1pHE=a-6*i=u5g{hJGCp9hJ~?
zJG7|*{z)H?8XDoyn;f;JY8(l*|2V-PFs%hgivqB)2TJH!e~e~?BMIG^PaPBZs{>VX
z-@a^&;F0xu9s`9H2}S4Imkx^PgJ$i#jm)YtqU7s%x-w5h*TM7>`H&%)7atih9#lak
zuKeyVw2A1%P{2hhO@ON}IwcPWt0GLLcmA>}0sVNQC(5L41a2CvX&*kQqM44myyYP^
zq}C-tEhT9TtlYo4X9iSJ^VZI<Utuapki90?X~q~-n-(T0<5ZE@Cc_i$Q5-t7mf1&+
zF@bvJse3T3f~<`KBns)|5oh}AqMpAdKxV$2@^D=l4er?OrSVInFs15VIbBom)$6f%
z(u7CJY}Y8CT^2*(QneZ8R;F;7^V)Fj0VQ;#8dXfl@}o1)oBVY2OhHsc$DQSYBGOCQ
zvk<<_ffgFxY`&*9g^kGavY$Qjh$oS6C4rR|d276qeEZY{#B5rELx0O6V$B<_wdysp
z!;r!w#RDc#^&r<pXIC1D6l6p?W%rTuAN8wW`Ctsz1L0<xY*OfC$EU%)^W)gw+^u)+
zM~vab%jb^o6(o>maG!%P-zw(YpZL41%?SQhgm-V3iXc@Vsr#}nJDABoKHnjIBUnuz
zyR)b)i1cpzHHu@DuxlR3lTZU-)Kp>XHp7dgPyWggaiWH6oB4IoM1V*9_vTNHaG|u`
zsab{&8u->FYESmSz%zh?8OP3n#wX;9$1`ZbL!JJXb+92Qtn%nw-C;r{cIRrn|I&g<
zqj@(e*#Kw`z0WK=L5CjFt8K8;(LwK1o$RBP`oMKxg??L@3N6GWA<=KNp!b;Ti|!Xa
z(4HBiEqb^^{xU6PbSQ-uB#P*N2eRrx&z3RE=;t+Z#3{>49c5bh5*x^K_OLEcz9bzj
zOkO14>AyE3xj*OIa_R>bsX8ECez5Of?N9P#l6?K~3p9ZGH9yo0Yr{D_%199YM2>#>
z)vA$&20Q|NoS9X%At}u4ZvDmQ<nWH6x9)GKp}c5FxHnD<7PTuPQV8vsO@m3z_&sV!
z6#I1O!Hg#GX`h#S8TJ_)t-WFz8%qt;sz(h4Ej1y*H>z9k<~T;sHR$iZMGb}j_@w{V
zX+YT8&akh}3^t|XXHZy24Q97n?rte)fPVdLp~=vB?3%e>svQLl(6uz1uH=#cw=&Aa
zq_T`zF)tTNdeFcn#Vggd{3J+Q#yO6J{lSI@GH93o(7?%Ki3F7lB2=7m8oBgj4Li_z
z!1YxDEqrpNQ8E@Jg2~(#qVN8T*>x7>{1-?E9$xCXGx-Eyt9iq$KC_9XouXED^rQy?
zmV|XNWdcMwGD!TQ*ug}Cj)~{SGJyB*#|m>z>Ts~E<x+*jKTNw`rl9scBTTaR)7zg^
zhqw7^Bj)lHaJjRe*;|hp1_L<f<LA}j+UrS)@`IGn6P}RJFvtQKtP;hUNoo+U)f3Qq
zg$kU&;?8U?8+0g7=08_cgO`cSZ^^aPaHJ?g_`nekkcmrLCcIFEjZ1uCt<1E*c7QWY
z&xsShN(fz-=TZeR8tIMsU^+PN9us{bjSG%3oH)A^t^&$g=`Kz?^q{<L<mWlc4MTb)
zi(4zoz*rqzYM#dk+%LTZ`7C(h<&j3K#b9Mvs(bl%(3u(D+>jkH_{s;gwVN_$n3Un~
zc)p3nVOB7mmhB?P3&5dL`{sj{c#w)b`C`kK9juFMeq3@80;6JX>#G;>u<hwc7U<%D
z;v;9g*-nc<5?-3+p9&tPDurJa>~KOJISPbA#K8aB@-I9G9-7`vPu3sg25UQ>S7VM6
z;QC}Ct(^%ElU%_Y%auHkZhI%+?w%w#GUaK`O5(wd6!hYi8XxSen#BdrNP!8{e7eFJ
zJh&^~baCkBhxXz-6V-=hAn4ies;e*X(5Opk+M6f{Di_PU7s#>@|F#q?wUwdJVS1|C
zRTv_>nhmt~{d@2FP~G*HGFUCxaPd2eg7f3D=B%#@06&D~zr0rgJ=%6(=PTkc$zK!r
zEd&Q8m0k<u)2guNl*E@bC;`@mc(v2Qc(6M+X+4yu2Ks&@YR7jZ!REB$pNa-$XpA}b
z=%%+i;OGr#m{p{qrc5oa*g_Tj#lw8o?Ff(>JSDR2CIcnMey}HAR0CR1=c6%xL>L+K
zV7pc#3!^2%NB^>`gNDo!G4&A%n4)@X*7iMbXgtK-RG<!0#V=3uQ)>eG?!7O~q6$D2
z5#+thNdSH)kP5i21r=VK>sp5up>89+?S?G@IDFI&%=7C&{_$?lAI>-kx<cXC?n8iM
ze@tz%+I3;#!2D?Pc_lC(n18H(ga9k`1>-u`^+9%<uee(a4{Vn1$r8WSA^!w}ZIq57
z^k}R}*-hY~(C(?hZA*2SD7sUWF^z$HEuU-dS!FO?YXTIg2HihCrT=UKxWHtUXqBl9
zj_1m`=8y^``gPs53o?S?aveMByUK7c6W)B)!GkoX%eFeFF^Cf3%$?)P(3v4@S>&z=
z|7;nD9;F&XBWFnQ#SeIx%XOPBc9R1V0Y6y$+Ze9ilriyR#zR4eh0~uC($Jvpp}Qt$
z0<HXpmzg+~z`m-8bIeQvJRMno>0>4!xySP~YElu@+)vpSRSCgcx*_XMEfesbf0&wa
zTLF-i-YWve3qcdd$l^REa4Mdov`tJN1XB1T6pwR&Hun~1&SzsN`M2`1HA5D>t7Z(i
zSLngG(qVfv-WWKa1}ZL5$v`6$ed$^_1+<ntz8{S@hWET27stG$fR5#*;qTB@jM}&N
zSkt~=uDdxA5?>_XE)7@4%{xD_fJZkCl}{N#bE{U>PJtK**j~<cDSeG84Dd;OngIAD
zm*~z~B@C~2=1cxi_mI0J2lKf70V2JNA8}0!Kw^pMTqj|SY<cjP&B;v+q8gabyBy+!
zi(dk&A3UBW$6VM`f6j|RMdB{eewZ8Rc-w}ajLwm_$2M=TY8pZ*WBK!}2b`eYQYtBB
zzCf<NXjUwK&HxUE9vUf^V+U_H(ODd}NS0Y2O?;iG4}mXSp1WRRhJm<>9%s=-az61n
z0|(NBiy6E3mjxNXI*IeCyy61+W9Z?(wA;E6a(6+rNSGGZSx!St?r-u`)u-(ceO<Um
zx0XzGi3-NUB-$>Q&60=s<j*Qb>A-cH?>9MlD1ePw%8nE~L*AgvVEoXl4YrPhv+BFs
zSj4o+R*~2g`A5MlFTbodNNJhoRatLfc7gtHavCPcxGWdLR}oqutJJ^ZB(;XEX!|I$
z*^QCoxO8$Z4{O3un7?zx*%eH+o<i6};5%7EG;5mDP!oJ}x!u|(7BS7cS<NaHU&vJR
zIy17x8c^6#a{275IqYnxnz-uKK{9twr&$Gu2FSVQUrtk+!9HE9nyX3fB^#Sp3AjX(
zV7Tf+!>srurf_aoV!7=d+4KFhmFy}J)?OrijE^73EO@Tb7Ob?9qggarJG_V>U*IxA
zJUfc1D2~~)>Nk-m<1OiBrU{T<?7$enG=in!##m2>SCJVu9Ja(<2_QOI+1>Q-3no@<
zuVA8fk9^jNS1Ef&9o)UYw5LQ2VHJ~K9*Wr~V}vHI-C$pJU@HkLDZf03UA35wxRzXo
z`E|7BJou{y@;a3Y3ZMJ2k9uXoT~0Mv`QpO!zc<z3i`GMSwX8m@<!ALWlOP!zoU73D
z;#Pw@zOyj{Wxd$Df#uVlZLJvnmV9!@5mk5`GWYNsT`y*9^s6v^suPo!-0Qp>tO9f9
zd)e7VJy?}RLe?O~d(7L-gjwW~GVJzTS#6H!!Dek3Gu=6Qu-uZWFN6_1h*lTu8YcH(
zH){E=(c=2BadT<CmjZamDUdp&)ZK%f>ZOX^Jvo5gTudy#entuUK98Yn=*2E@9Sr5U
z`w8n38shZN!@&(M-nOJ4z1V5Hn%}akpRt=>Eln=7iV)0w``l<*ANI;;(pM{F7)yJh
z=WV2`2#UmaI=Y4Z`}0``Cn<c#vf6PcCQ}q(%6->uw|xN9KA*qi5HpHZ(akDr%*aE*
zzzZ)U{!ds>s`mQ}eB+q6B9kNEzB8OlRL<`+hcIS+D#E=t6Ie)_EsKAt97K-%!*Lw`
zg4J&uK29r`#Atb<OqJN>ASkml0H;2TaoLr>(JPt80)=D@iD9x3T;dTmeQX5#jdQ-V
zH2e$O*7VP~{7VM<zvd2gKKX&wy&*}*9sG?Q{}fR&ZZ88QUmC?IxiPH0i;(TUvVa*4
zWzP8wNJA)t=z~-D#xa|plO9Kxmawvmd~s~Yq@hrEb)!?`CswgpH0+tYf@MX?j+48k
zU~0STN$t)gHjBGS7_eT&o*5{({dZCd-dEHW-uN?(8PnX-!H%qBIW=?P_QR6kV!dU<
zC_anPW&3lCU*5oK+3FtJx$V1n!#AlT>i7Qp7qpE0x`iFHOrE{_R{|*5-`wrTEn;OQ
z!75?bcd@C0y9G)~5>VXxC+i>cGPcFm<G7$f0gQo?k%wd@pw3>0efIGRMoe9dtna6U
zACq&}PQ{2rQ2CIoW8i+C>iB;2%B2RLXG2*A@5LaZ<;)<H&pMVGADGmdNej<Pd(Ux*
ziUBQWmJaXz4J`WZ;M7JZJv^aydH6n56a<|qk89CwV;P;EmpX_{pvk^)ziL7RD7gPf
zw^Z$7ZbGW*{$nhV*^6hfv=@Q-NJ+|1Cn!L9&X@Jw5IZ!a{B*fJDGc;%JIWtdDS@N6
z`-x~OCzSC-rH<YZhS=N|*lwW)g{%|}yK~$iP(b>qLK23`8z*I#U(*7Cj;?6fffv>s
z6K@Ms2m|fG(A?5>da!%9H^H064--K{uX$&Mz<Z7)aNU&&1dER(KHd|Ab?mE5^j{&E
zTv`qx@Uy~g%4|o|auE;`HP_fu5r+0-k8gO<bHLY1#r&{rad5KVb-0)%3~WKH(c_Of
zp;#%f?ZEy$InvmDurLsTS^tefgJ5ph5P5o%RbCpJAA64qDT)GtB5=OWj~61u>~l}C
z$^v&T&w)c8VlX4;o8+C%4>u!Bx$X+d1MTn)fdM)R$YJx}6I&OAlTl@Q^p=WHk*atV
z<B^0K4y%5;I1y;C#kc7fD}mO5KJG(qQqcN!S32aFIN<MWs9qOVfk-Mb-VkOP$oWZ+
zHOWhYG^<Kos<j%BMaM4^S>+%zCc(MzwG>?4eDd`4elOB!zVBiXssOXgVwv56GO(2D
z{89Kf0k*XLn!eg8!Lf;JKQeXY;LBj&tO<?;a@WiXQphTh{Z8HH9ESo_(q1^{Zm9vu
z{iga)ZPekM;p|8Kc|{;zn=ih2P!kxW4K0t|BEosu{;Q}%3CgHJe27*Hr1X4v3|KVb
zgiFX?U#c?DCkkI81!_TqlA+5}qz#xA!;M*ORft^tClIsm5WTaJWy%9R_+1|%X<@4d
zZsBJq-tcI_X9<r#ytfSDuIzH_p%pc7^x$ACQ_%$N&XsiZ3cx(3%QfCf9eOxPVlrJM
zs3bpF3llYlTX)A!9etn<tCh4Lt@h6gj9mqv&X~X%n(o%2LUoX)3~xncYVbAi^4nEs
zQ}}s&$xUOwpQbDo3JU@rmhOZ+yrOIdqtw@TO19J>=!SYQaaayKS2J1Yo}0miKuXH$
z<7)8jp3~J=-jeWL{~iD8iW$_uaJRm`r~>Iv7$Ous1z-pFR^a!t8Eo&ZCcm4-gZ=M8
z$L4%i;OV)))?8->SA}Ku|CQoEj4k?Umc=GU*Z6Fs{)8Efgp!&g3>Bd6U4u*f+<Wq{
zV#SH2cc!p&>aJyH^L~#Xl@*q7-X?$NP`}WlY6>5%Dm+0?8h$!p$1BC@kw#@q1|iM_
zN<*^SB3mRtPBvdN$CeFc<)8U8`OO&cn06dD5`l+-s@lARoT#Ublv+qMhUypP93|QU
zAZn&jKJuI!Wj@{6HN0g6eU&v^Vq4s>7A;b~vBZNCjuv~+uL00IW~53na{&DW#Ra-5
zUeu`jK}_@lK)PdG#P~M`2ujVo^qHFvHEY<v$$g1|ZbMsKq&XFEkB9E!NPI{_i+-oA
z))1J4V>#CgHn7maNX9XFK6ExSCi~ty0~q9z;cjT1!vw=37-J~-(2wUoZ5tN#Vc}GD
z@cF48?Dcic_1Sm4=-&F2bE%X*1S?-lb#CY-H?U54wWsr<J-V;qtIm30Ujg&c=V!=I
z{8s2pF7TqwaA_CIr@FAipuJ`;{fCU1IDSYl;6=uHr<iZi>B1`}|4?b?O|ls$$3L6`
zFFMg-&+^($2UvPqle}s6$iF|{<qneLMfGl<RQUR|As^2jAIU+5IG%9Kw&?Pr7Y{Do
zUoh1Mazc;GV^<n<By8IHl`Aj0?ybe&L)HRLm57Ft6gq@`KjCt<oEK>ZwJtduYr(oi
z<ikg|84#W08<$2#KIE-ptLyt-6Sm2@=KLW{=+>46%--Nb3G8gX0}h(-{oQqrqC+g`
zWWs8VIS)UY_a;2KwXOkwdkGH@v9ck94|&Oph#xh|_h!Aw&;WZ!elz<nc4S(3G5Tk$
z0Fs>+Z*(=(01N$ktGBN?(Cav}0bUP5B-uCPH#Sd#O9RbO$@!cpGgTqe@uCpITKh=>
z#UxOp?;ALHlMDG+<!2;^3M2p4;RB&ABuIag;>+gEjk?+vvyPOCAd&MpKMxfWq=fgr
zd|}Uno*xalD7PevE-lM`@1!7sYe*m4=Tp3>sf;xy?3g$@?ulPi8X-c!byfVZ9Ul_G
z{rE$;D1q*IPd+wmBLa(*QSGERKRPk2TXa@Q5|x@0y6bC*kkp8&jU@;m+Aa~h=^aT#
zJ6fsb`jQCud|%B4)(E1hmY7HHholfOW*!7z6G7kGM{H|R2zl`KI8`-BBcbBG-Dh8k
z`+f;*UeyvonTn^Mk3Ez@$8mF?*{De{)*iL+C`lAOjqKTj+p=g_Jl2Xsj|7)z`_8>u
z5JQPCYf|+i<q&RSAT;_W31XE57>rdUkc=f6k9_1&b`T4n><9^zle-fnXC=`0%O~_y
zPAMQVW$B-YgBqYLmq#=BSQ1I4uxUDIC?fKzYv*LU22lPTnEL4@g~A4>8t>ELkZE9W
zgNuzO#H6vPM5{=nda9K8wl*BHt&DXqUe^Tbt2x?t7NybnldgO#PbEZ=bSZSOR0}j{
zk~uRgWKiY&C!gqLC3F)1AR)(78`Rg%8Fo3#qO&J;d#bGQ=*N91q}0`c3rD6I#MtFf
zE~RORR|*~tNEr2a@#uo0G&9xdN;$MK@P%tC8;?F#T7Sq`*M-2Z!fe6@^2k{9n#Ykq
zJj&iYLoEEJ2iLnrpYhbmBaH<kLmmM<qLz#zDYWRroE$|guZRNjF!pUY9jk=m&4z<6
z6dC|ed55rps{(rNm2!-}1&8G8wC0^c48cZV=8QzT0($)XObF{cMN~{zOE$tV$XqB4
zTX?8|T=J#X%^xWsCpVRU0V^25dck_?{`%Qj?K5W`<WX0wG{w#V0KUQN$6vW9pgd2Z
z@Uv^O$ap}s#xfS5{f&bqjer8W6IUvJE<^@}dFXuStOuwO9KpIP<k8}*wj*ncQYh#4
zv#GM-{eAAnM;(!qM@Q2RM&-FkBFc&cGulM}HRbaBld*E>J`XcFy-ghDu!dO2{{eV^
zz%l7?zbtwl$msNLSOjhV{BM?N7C<1xIB|tl7JdJ~b6QDE2nl``x2W#l-+%qSw6UHH
z+P*Dj!J5I3xDtf@$EyGiPuxn=Jui)v<eZsW5A!0XLT6j?7y#|Q6aTeDNFlb@ZIN}r
zjTACx=GTt{+*7%*9&=9;O&1x5kwZDr6V2mY^Lzm8wXd#E)JdQZW_Qoe&$6RKP<VZ;
z0)u?Q((1!nakOTr+!%g=72!3tBQm5hSo$XMt%X?(g?+o2X>*Dhl^y&;Z<=lhFJu36
za}5wdqz@InzZ)2l&ETtF;}nKqRzDN7wIGDnm75FdVi}PCgAzMYF9SFki$*1)1kr<=
zK0o@a>CvkzBNNsG`rsZN-qS)9K)Bx0<Dmq4WaN|YRc4?M(?<AixjjDAspItP{4O1$
z8SpzrU#bTN@iPC>PxB&LC@$P$qDPt0d^K`BdJr2#%~U?egJRi^6y~3#M;xOZ)DQmC
zg|EkX;x<`$(AJ5QmW4g^DB;%L-p@Ze5KtE`nRb{P32~q9x4O!Je(dV!*}Ln2OAC?Z
z`$H}inUcG^dYlpIiLFdnk7~oUT_1Nz0WQQoZB+8Xf(cQlX?^6h*M?;pi@x|0P9)fP
z>*$&{GwMGS>DxW51)=tLUg}zMB5U5pp_5Nokk6sR#_i{|;JZz0<Y_ieq<?~KHEutr
zT@?j)6=pQy(xA*3^Ara%B1$t4C9$LTEWO{=E^ESP!%fY!0S>fwI7u(|E(eM`z4n5a
zUK6N@)&bgII1o$uhl2nA-%<N-<ncVvfG)0qm<xY6Q1GpSHxtfW=wP{FmA|eA{QJ<E
zcUy`R5snNR{&V6+6JrzsLElJle|lca&Xp6<7AzGh2k@X7x7BljQ6#|5`l$srbD~~y
zq7rW3(>Z~wj_(L0SaA2<D#mf4!TP|4x;K2tu!z=VYMKbOv*eMXGA{JiPdFf-Ljcja
zj;rVu5#d6v>p3cn8_6#DtK@kLBK|Zfp=0huD2h5)uQtt%t~a(kwjU8f=Fb8Y8%ad4
z4fk{pf5?Nn&SreJyC8xLTih3<nTYU{fsjrW#Ea5veRya8iK6V8Ru9u(1km^!Zar<w
zhh);jYMGyjqZ>K7mB0E3z_MtWWpaWaxx3MPCp1c+nhvv#Kb-`iWfe)1a1=mFK?{;;
zrIN_6IP$Me*M2WHr?d9@PY{)l`po#|Nuetx{;b@e32>D^d~Lc;2vIUd*4ICfMvl&&
z!uo3jNU*9oEk!MYikOUb{}#z0wY;XtSxF)U^{m=DIEte3yS5f8&ty@8c;bNec_PeY
ze-?=B7DG`_md}4`l0z^3^Cq<`i9nThdNNX80(E_jA#}c#M+GhOx2FI_K)S!!N$~B4
z^hwVJ2{fYnd`_uf0nwaUmf(*jf&Y1*0EI?L)TN2N5ARb%lmFrOF0$=ABD|Q&ktBu8
zZXR?9Z^faGLU$H{3JtJI`8hAJpBwZ8VaE^UE1}CnCGyPYG(mS<8tYfzch2H~SC}&%
ztw%pJxh1UyemA-ly(nc-v-2MZb82POhFfK|+17&OVml~%D~tXn20!>1u8gW9(svI}
zXhV-!<Y%e`Ipp*8iiKypGSal}IG*uY2kbk{eiiD;qbMKdcK)x*$nE^q_1Ga@@O?|2
zlR7MqMkM)}=3XeH&*5e&CBu5KupRB$wV%)Lj`0pgolr)&8{IseKlI_0IH~^1Ck14k
z^r!t=6&`sqJohmCZU9{o8^MA&MHIWH8A<L_Lhq=h9*OoELh{Qv-&zMnRHYbMS6Yul
z`~u{N|Ee*_O)>b!?Wc(T2LJ&7{|uLRIMr_$#_hfL-usAijy=E6L8a_OvXv51N+e04
zXh@;Luc1;R5uzkIk1Y+A2+1mhvdUI|{(Z0adaido&;7Y?>g!WRBB7eNFT6Y|$`ZhI
zxbE6VZ%s^J^*SmwtBzk>O_^J-0yNot^17;~iI$HC*Y3HgVe<RZ#vNY)K9jvVIo@hu
zLFiI?=N%PH-uCxZr!WnAd;8J`Tr}{E=Kl7bLrSPEd}|@km<FkyOl)<})RAja;MGGV
zMQpxsA^5!=4K6Q{yA_z!@zjSSPW?S{XnOsg{hY&k9T`?Z0RuIRE0@~&EmImzef#E(
zfd(q(!F@b#syNwlGA;gs1o{RoODL$&Kp>!PvU#rxKHNSL%v~#rUE1M}2UY+Sv@$Da
z4k#nBhi&yAA&kEy8>d)W0QeX#+3+4#!sQ(Wsatpi@%~b!V$%hH*-~!0-4R9HuzOS5
zF$X?u#$7WfYyoWBMtct(Q$X9{drdTHZrnDa>3naE0P&zlqN$wn=-}hTcqfJfBaYHl
z5A7u&J#1D?nktJ%#ZTC81+Zaz$;Xo6W=pVm-m;11kTiDv3Ez3Efd#wX#@WfLS;8bk
zO;G(SNfgcvOtZ~oM)sXNpFSj5K%18fF=8o!`|96v8NX%1aEnLdd-~16w7cP#`bRMw
z>sU2R^kl-dy?;1n%+29Y{0rjZX;F+<=m?P1XTmz(FedvOW{|W{Jr?gSg8BvDw*GTk
z-=D7ZN9La?<Q9i1&TSUPM2cld$bBX}Gql1xw96E>$4;C);vuwt&rJcH+RV6@>CWVG
zs|mc?{_KQJvLMD!^13YaGo$06aYBiq39KF0(~N2tz#qz-UrL^{-~*&Yo8=ipS^KNG
zB{KnJZr+i}@RSu_Z*7TwC20)uUK(D0C;9P^z|`>Y2R0nj-eMo0W(1e`Q+AG4@nLDd
zrHL&!2TI&(R8QhH0&YPWaMj>LhhgLGU;Q~zh)KwK`Jy3sZg?SZzL6KXrlJoCeB{DM
zJ*k$A!iJ#v^J03=WnR3^aAt7amj@fRjfK|UFaW=Osa$=@y!cnA&gUOHAMT6D8QDWJ
z0Ji@w@w_eI#eD~R_+8%d<F>mR&*ka*kQ=f3(O`}jcQ2Ht-tQJbXRE#L>K^*A@zlK-
z)nGovrT&s_y@L3%?dW37ydHdJu?zdf!jB?X)55i<g)k&UR!H}{9z5cep(?fTqnd9F
zb+ecVW~gpy|FBUH0*g-Xw%;j$rDIudnw&&&I7+gKYk>-}Ca-KMLjtHV5E0pNQw*s_
zW2YS+Q=z(I=k&KYL0oX7=4UfX;L~u?B)NlBIB&P(@NHcoT#m6w(u$Qt-B_JD5hE(-
zZ<UOC`bP+3k8$ZI@JVCY2eAvi>{KY%yYW8poiI*OH{TC?E`xHu_Z*FeD4;b{I2TqU
zg1%oqZaQ{C4tMM~lU-|~fNPonYtQ;zm5;w)4&9)DiZe3r)SgkGSM<BSa<3Tfcyzrl
zUqcZ$IUamc^@IYg-=A&2#3O-mDelYcWF=fvu+ki;p@6bFn+nZU64|tQtedQqQF+1g
zZF?sL%39~mG)koK)|NEdV?PzFZrnLEyhedO*%7ZvB^fLmW7@%fMir%b9@-x<r9!m0
zJ?qdzS^U0IP!v(3h6*yuaf8WJ$hR|2?As)dAL+X|hWgZTYB~3A@)#9%?K2q2icvtR
z=9P_yc{DMXq0s+<zaH%0SLJ~_6|wX`8%m(Q7G{+j<+)7i!GE^SZ`=qaEK~l(!|OuA
zi#NTj?KAYD$d;GcQ&SmxhD{{8y|i)LZu|5ZCj(#{AI@+URl&~1&m%q#8}MbUg(i=R
zAv`P_`MjAy6*I!A$qBMLI6PmNTEb@p1;Vtf=Od~}x{%ddTd#vc3W^dEe8x~2TYKqo
zgBr3&lX}h>>7v?bxo5n*2`GK}Ro`$`9iyC9H$My4MX7>Y_oWF_NWHRZZ{wzceIuP-
zn)`II+*9~G^FA}EEtcKl@=pVc_qGY_me9qZb9ut<SIl8=MP`UpiYD3@2<B+T>ENEb
zMrFP=7LXFTJR-KNiSLF?xP`Mfpvoe&4ScZ#p=?FEt&J9zZ!cl&*{_ZI2P8U<{UCsA
zHv4&8kQRn!GKD6sYN3#Z=vU4I0Dpge_P-RMg;%3m=1jM1qSo@&)eT($!u0n<5=9Fu
zGUIkv#i?UzhLy1dnFi_Z_i}4KYhse%4NCqwRjj=?^J^)B20ll-HxIgLVtCg5GuIQ9
zk<+U#p#Lrn?m7EwcNc45s9S}+(s4!HugjPFq?!hs?xywL8d1jt;n3LoD{>f?9T7mT
zqrv#oRZgaLz9g27Fp20&<J?S>bxk=9j!OCq>}FHL&v}05nsdc5j`QR}n`<<9%Kbhu
zWJv`*g>Sh{1&Lt)vj;Djf@#1!^?PT-fHIP0ehEH2Er^r@a~F5&(!h9jsQX*35;~JD
zSX)<lk$FqnpS%eGE55?~_B)Em-WfQ;TF8kheixsp-3Evd#~|S|3MeddXT_C|4I?6X
zNM9WR$YU>$vi8ei<lW(ShBD0f!kLR-{5Ju*XJ`#2E$j1nr#E-4i2=WhbsgVfO@P5*
zZNjEEQuuB7!^WV0f9VBJp0$0yYzf7Vx<+}wBrxR~Y1S`zg?_%;LaN}a1uO*`iC@$e
z$KHSzL6OHx^xQVEl_y!ipU<;Vl^LQ~f68U6f9WDUr8urXFvc8?i|sVxmKH&S@`hh|
z+ZX8`k?H5`-k3pqn$P7YjY4?Ia-m}DsYQBES+G&Cq8UuS?{RX<5X2XCGfcyBOLWP<
zoW^P~rr`egial?l0PZL;(%CAvOuzkCljBvV35169<y}+f$5X8(nfni}(0!tmMo$`<
zz;k}@X#cakC~S0kLYeI^U2WoN(7qeSAa*m(?6fKmme15_FLeE*&!*&WzRGG09l_<<
zGb>zpb>vL#-f#xIm-x0%D8dN3y7>FEIk+&ZZM4fhg%O7*#3RPP8^VVr3+A)7oTx~q
zS=78-=iS-rrz&2CpyqSP^LHf&8Y}c3>0x8R6Gs9HUw0UQyhPm-haDW)dQRT?ZXhe(
zIQ3HM=XL||?%#CVL6HLwTu8Ub?P9}#h(oWhb?F0>_t%SaA{;oN>V(s~IWT1|=JKGw
zK7`ZS?6b%mSYNcQO<?_8d?a4GAHVeA<qhV9FNZlWUQNAWqKO;ha+asxp40=6(>{kP
zd)C*xD}!F%<;BFNmHRbfdSG{ZKJs`FC!Ws@%;vqtk9%%T%ubY1;XjJ+zB&mm%)8og
z;_cUU-gea~XKkkf--cz`m`N_oXuZd<VNDQ=-1XXdS1G`w|401G4{lsij&mu~7sd^*
z*$eUtD8Qk9Z1)}xUX&6fq8CnzV9C}qj&FP@AReWZ^<~`;@%$*?dSgfwLtfm^UY4MM
zU264f^D2J)&wk;)g|9gJ?5X%!`-Kb=oHI9l9|)jh&Fs05KN2Wxt6%>rj|{uR1|Rw+
z3F7r<-ws^Mlfvl3n|<43$iUXI$E`m`2+dUeB{-sF@VLgnv1$)8Y`?jxRCq=hyNx)-
z8+OZ~q12|)cp4d6TO__-d?11c9`E5ZF;>8{{$kxULo%!}zZ2d%D2mO8i<RUY74d+n
zd8UOi8N6qUbW`-iu{vhB&NV`5y&pCj_Sll)XSRDz&n*c&Vg7d;^?@>;WlDaN6HEr*
zdY_^MWhs=~gmo!DRIq%&{g~kmGDL76$c(R*Mh4}Iq_lN^YO+5v*nfx&Dc;pLgQI1!
ziO1tg{snckw!83U%7Ow<-y1AjZI;Kmn{BmDqZ;^I?J!4W2?bPHex268rhowt19}&%
zweXF9V9QZ+Dp=nBW?q)Ah;H)se}}J=@Vj34SoIJUc=E;>cV#Led&N;+xgXm2aU?r|
zeoqgYZ>vhL+*$XxlNE#B3Oe}OLCDM?alPMUZ%k!8R>3zi<2N<UbTRVm?<=x#22kC}
z@%w7EDrUJI_Fxt#W2~?7mvdJPAusow+4FVoRB+Qohoi_S*Inwkr@;u^sAas|_3G%l
z<HoMEXJj-GJLzx3WdhtJ&3vXZ4ZLo6U*di{8HKyAH(3Xm!jUhB*YYlCVw3%op9h-A
zxOhpyhq2xaJ_d`|H*L|vlHzkrK`CTB4Lh7F)h$3N=;|PCL<=umV0&>-nT&N`LM)P#
zEFs4=c;4TOgxlK+hZEQNRduxf$zTToDZKnF`u9jE5OhaLFKq+P4GHWLP69abr^s-s
zdi}ksh0o_!kuXH>y|TIh4T|;b#!YicNRc6NY`d$8qBWgQ?9R~OAItT_q3$HC`d%@_
zyHg#zgYS%98d~Sh+p`C9K5JoDZ^zrJne~4cXFsB*W(8uO{ZAEYY9ZzMWz)WsN~q)3
z{qwk!6)^Ni+b%e3B3I(7nzon%+AxYPll-h;DD$bGj;jX7jahy=e_k3FEbT+O-K`)b
z)uHm6p*l8c>U(Azh~uHqNBd`ttsqvAIfcZmhO}&xlopyW-r~7^HITy!YPa<~F`}!W
zYpRQwV>Ca;l##dkx6q(^CemT;kTNEBe4OQU=fuk5Q||?0X>jOQ^6dphCHxojp!}6A
z3#xV7Z#$$$gMxK&8T_PxmXYICm8om=<IJ8}q*ee@=&xxfd3n6H#;RYRyhyjQ^(#*b
z2FOyhy8QT&3`(+gUT|UfO^=h&5!l5BFv>}qH};T1?}*8{iT{4lZx0jH2pa;5nw83K
zsY#&oRm%9}nNj+my`N+KVlAQ0?$?^Av=}lt?%f={{~NvVSkHj|Qwx}M+7*y&B!aH;
zc8o*I1N0hW^##S>=I|>+@@`$M5UO5bSTX7Br|Zq@U7OW2hb=DCab@EI*dsLE7PZh%
zFOph4tbWW4K5bcjD#gf;_3w2|iMav#cyhleSG_41KCt-06vKnfkHSBU<PXtj(n{B=
z1x<mY;;rN}b1rNor75XRf2WUTyMpZ=6Y%YcZ*ktpffIY2IHn6n>B;?$b9ZZuLFY!f
z!|h9Kc)l_ydaQn&&dzbhv`Wetrm_w@dy2E7_J1EwXQ@uob9Y}7jfypb>81P%vo2<=
zNUn>1J2*}6tC9R%J!A+g3agh@-!Y-rXXSU1t+Vtilarp24u+tZ=VCyeW5lqc1rOQQ
zKlI~I%a5O}HUL_R$C-vLjJU?-p<mQLPnRejS{>9i07}@-)bthxeA+Z??9aVKKa!O!
zd+32ar0VN<KRUpGoLpi>7adpVTeG~DG?ewhkM#8ONfQQC(6BH)QTUgBV6T5WL#`gU
zA4}WaqsD+TEc@@@5n{ka%iBJG)b!wmUB$Z}`V4q6w)MbAKSpHs7vW)9&mFq|jHL{B
zF`(lI_3=}5Ce+aT6Kh~bh5pu&qXk6_ct_yaE+u^yd_21GU&iZoefv}JAyJGGm#wZ8
z?nhP>LTw|8KLuo8){6PuV8jfsyK)Xe?3kqUWm$EJ3@!};F^U8e-nE>Zm?Cka?tV7A
zjB8{Vy!V{Wx5k7;KhA9~7vx6vcl?)g*YzApEw@X1nUT?3Y+6@_7qh5#(h_uCIA7}F
z^sS2pqxL*c)OO;>Gj}2lWyN(tY~VO!^B-3HnBSkU?Xv(1Bt|(e9Mb_MG5*kI3OkBF
zRh;sd7ecK=CK|y%Ho)^eFaKtwao|7Zbc?ZgVRRjb2JhV)z+gV(KUuN$oSAW{Ns&<$
z!=Hb=H8!CQ9hFT9>9yS0TCwJ0n<IvDEZjL>iP}(AYB=w4jTa+A^gm_#N+A7#NS`T5
z8)6c8IXE);@%q?hvMEgpRiu?Pw-1w`ZpLLv=bHffO({?4Z;`>#TZB~I6B4*O>^he%
zEQGc0XXBls<<OoOI5nR|0^c_$X!^dw7@qKcX)#Cv`_Ja))@PEyYD-S)z6KFIU;2A8
zHeV6rpIPMwuGcxW$ob;jW-&bL_{y~IuM#>w%AZV}B0-;(=Jnbi>w2^(IO-Opf*0$z
zY_fFLhG~-;p2d7gwA!*DD*as*se?*{LXS2SaeoOZKP!zKe6*v|ht*L;zdcnteFL;U
zU8F81%i`XxBMdHlnn;?rDi1%Q13A~sJcaV)F=;I5WJtLdZhoLPboP!eY}q`KUoowK
z>d0o4>Z^^xiju8g<H=yu^KRpPX(e3RQ^2Rds)NNR=QB@ir@%(mz{b}u%J_DkFC*iY
zE_S;H94y;P1#+g7yu)P`%nVy7e0YhB2W|TPbnVdtiC<rA{M%Jgz`IrRmpKJR)+z!w
z<>`Zrt;v03F?B3U`8svDje@EPU!}&l455mnzHMcj2EMia?8Qw`Q7!(f|LA2S_!Mn?
z=v9Iyj{bK!W_KbLj~TCA*`j9xd<_}wy*IVc{P<k<?JHDF-BC!Z9XEx<G_$kK>->IY
zwE2QuC>4G5S_1AAnZwVv!u?$l+8Fd-st>SI@s0^=k5u@&PDV&DrO9r<BL@<SjeIG{
zFcer4C<G8buFGMu&bjBqVSG8!WXz2m=W6K#csO;RxY)7*`2#i|NqVA#|K2#Y>|D<;
z-d2fA>hujba{B0}H4$xO;+QUD)3buCy~o~2Mr^<$mNrGF4VviQA9Gx!#0nHkQn!l?
zYa`{aq#?J28fJ$(illH^gQ)MFPX{HmG5nOciuJ4##-}iC4x?E^m9$*cq!0=J#Mo^5
z`dA(bg9@g5Zq`t=GDg|jtBL=tD`9uNB#J+do@v-(4ITrAakoxrV0FZqE2lS!pmL`C
zvpb5`@S(TAqmDrx-ADIjct7OBoloz!w+>pt$ljaT4-cwh-xHp6?=@ERP@5?hxnu=J
zO`fSe?aEkmJgrz&_b>gH*MJ&X#|oUvko}*561M(IIqcsvO?NcwNcXF!!N#i&Avre{
zaL7hiHGTgVdO}(m&(>`;;AFJxV^NaB$}b0Rn)#Oy5k=+a#=Zh@bR44^YDwe9cQyAn
zEA<jl`T-Fa_W{&AIY=0INuZR7olV8S2r+q9C%j{n0I{oUWnxvL*gO3z@7&r?;;nH5
z`(CE?T)Z*n+xQk?3}oJyw02~g@Xhr*?X6@9DjY(Md_02a@POl+{@EE~v{Z`7v$cTJ
zUxTEV8P@L~8Tj+@_zV#n6zlRl(j20@XY~y1xsciO)A!=08KNq&Ii#|{3{C}QJI&9r
zVMm(y`3J-dQ6_1_ap}7$(5wd6OqQ5&BA7j`?eH`)mj0-mP0bW8_*sM-Iy0hVpitE1
zsYyaqo87B3%mjoM6K;Er{iP56sY-iP_miMJZR&jV!Wi6!44wUPiGDoU&qOzNoT%f9
z?ls~!hU6+mwwn_3^qYy?v0l_4#8#dlipD-8h>JSEoG?5~*EvN9l+Fzk0>|1{^qLIe
z1i^TaOM04KMQ>vL_u(6{=D5@%u4xF@@5))0c}>u-F8l}fZG%L9$%~iQE*n6IL5yaF
z+9+Ktd+4mka6b`fKIss%st*qu>Tdm)_>CS&7G}T`y~G_oi`!|T`VjbMYh0@T0A0jB
z<Kc(kZo-9S?nlXh9xwzoHNErvLeIJob$KzrljtcwSX$zt2Mw`)FDcJD>DOi!0ve4!
z5p04bx?!KF;CA9{pGEaYdRTLUagyjqB5?oH;zn00l(Byp&$$1NzSr9+>80s=;*#bC
z?i-yH7+I!Y$$!&A-;$Hn$Fcb>ap0Ba=1<-fNMC*vm-ecj-al~A{qogTVr%Lb()JND
z{Mrz0CbjgEp7AT>x6qCj!d9k{nK^<C)7M7(Z)7~9e`C?u_&2_Zc(p~@_Z1TvE`2ol
zDn~7)_nF(z`tddr>E_336-m0#)12d-xBUTK_2h#_k(qkpRq^RfXWez6@%ydTLZ9pO
zvRA(+J5=ilw`e=no5>r1@6rx!nb)W3+NBB;TkqEqw<AI;j9+R4U%l<Sy61-pYmt^w
z-jF(?NZqwSf0+dNg<~#0L^^Tev)j+YgLTB8+_BmHW+d?3T&l`+_ZE>}@*w9<SsmfG
ziBen@uLYc=S~|N0?h~@<I~3f>^+X4T3jBMc35}Um*NfsF5^tNm#Y9KziQ>{OPZ3#7
z`2KQgS@!v3LieB4caF{m;%2Dc``$wu;Ar&PnlY@52w`<AF!<X@$UQy($mq2?;Fxe<
z!D=~iD){%ENS|inVBL%yo2ELb-P@{?bL|<yAQWSFbg_kqQ6IL^x}XLrhi|@d+E_*W
zEctP-=6x&it&vbqo>2vjmtT@!2-OhBBJAJX9eYDe^i@|fc&oxv?UPtn79=9s1E@Zm
z+X(Vzsm|lAD&VN<v9>3xmQbD6c%8WLo|xUoY};q90-v79UrXFtPpsKzt-3{gBzFB_
zZsvQU400Y#k80%`3Agv9z4=m~h;6LhjC0z`(6GCW<*;ls@#et$)5$X(gnMFo-m!;D
zFcq0qWwhlL(RFdtztq*w#C9gJgGnSMP`o{VOs3#9QFE`lY#DlpXRK8ewh~2{>MOR)
zvwla=SUM)k8hVK!@xJ-*MvAb~GW>V`(t9FFX6k}ZYCoaceqBVMUI8XXw%2`8`baqW
zyw0rLHc0p#opFhBQGh$wUY~31YbR#SA4I8gej|$d4b%jh<RQChanHV%4nnAX{HXHO
zcVa;%OzGg19PA!AV88JFGf`plPHd8MlrT_vK+MX?L4m};UVYOZA~WB%-p6l@;L&qt
zPu?yICrH*y3GaG|a<eMCrMU^>!sJl3!etrIzn3SvlHX6<Yl^kw?3g61x+j94e~^Zw
zOuCQg`v!@gZ0TWlrWrzvJ6p?DQW{>xu|$Swd?Qrc<YZQwW(mhSj@G5UQZVXU!R#k7
zOf*ipE}f|PLo|6R)HYN}f}Hq{d~VB8!oA{t)yau@;_gX>$K4{50Gs9oVspj_m;J3I
zn;lDpUSrn2gOL(&LB&gIzx7Wd>42nQ1N$mb-NlF>dc~o%*l(9RWr~QmIkiM*StIhU
z`|0hq6Nhp0>h4#@GsF+?pSmF=Mo<q>C@-xQ1DmI#q;j_3gp|3-k!EIQpzCdH^#d`u
za->x=jeU+#nE0VvC%_7y3K(|TwTQxpfv#tgv<1SzVMm0X2RkrF=jNXC6on=S_sP8H
zOT?u+o=+|ga6;_hn(fg=5g<NYW}-!}5@&luPmGlCfE_q2wd9I`mg`h_@#!@p2L`qO
zz2^t!!Z`aJUlHg(v~aLCf)Nf(C&=BsCkXM)mAW}35g-T592Ik8hJ*`0751kIgWso$
z<NSOgP$qtS<kWsvh)Y`D^Wupp>|)o;S>+UgI6mgkyVdOL`oU>dEg%7J%sZ`jtB61Y
zdM90R<btF0os4gaq@W@9D}C2)5g4hAKJ;Ck7o7FTUVfKl;gNLWkE8EI;8`t+uR&b^
z9{ISh{_s@*F<U=3JRk~j->lLDM+D)r{O9YJWtD&$xU9d?Nemtv8_iyB7lu>qX?Zqm
zD$wHj-O}!aIFMwUUoig`1zJ<GV4Rd16eetZcb7vFtjenu9c(3_r|0+36Hg70I`lel
zidh<j%#UXM*C_?*w@W_{G-^RXlaN=}X<6vbbhZh;Eeo+h!X+af8z7eF`YE<;3b4yz
zh<eFY0jy6;!w4H0k~H;#<1CdRBiua?<`m&n@B{v^FbW(#@+>punhF$reZ0h3t_<b-
zRp@WKsNk7<G~FOr9lBFTj;mf&g$IZGoo6le;nTQy-0cP}@SeUP*m+zXW<s2!<I@em
z<jrE6Pq_}nC|o=+8?6Z|^-Cosb%qeZ`o||ZhXVHvVD)$m2`<^V|BZWL1WDx9z8Z=?
z9B#Bex-((}yo!{3k-FCy6!m!8inxqmcl>@nH&<OCRZPUcdt?m153^=z%9=vx>DgzP
zNQTmHBo^jl#!&T|S(tIV1!z1}T1>N`z;ha>JI8wc@hhR(99saSZt@przM(+Zp{pwn
z`wijd+nc##-88r^KE)!dP6fS-g%NmBA8HqjVjb6gUAu0YoX18gG=Sigt{xRCUDn+0
zp0<I^%V8Y{m8h`dxMn>)tplrKFLvj}ZiJ%a#%~R3D3GdT+#k=T3ArVY6bjWh!I;tO
zvq2IRsPc*5{$oiAOxw;(w<m0Z_eFZefu>}rly$}=eJRlIX!;?Lz6ruwE?9MX=s+J+
z5YLtSd?0nM;Np<)CYTwmeb4=y1aYu9*IGPJ<o~UlbDQ4?#J<qsHcw5s;Vkt#I`lhT
z>gUGxcY8NN)IP0$uk+O4%Fd4QluRbfE=UPfd}#yUA|^@$CX``hgGN}UB`?a@ecr!`
z!v=)1#qK;aQG~6um0-a~Lg*P5+4j`Y8dz%Fryf|!g3|MuTcNi_(RgCxh)b3gIG6pJ
z+G;NWDT)!;UL=k&?V3At#%Qn@d+xu&0%7?5?M~Ggvm|!uwpCbeq=8CnLO)LpAI$5!
zj%2@;#8D46zFm(1PHtXQk?Umxbz|rEExJ-@_hRjcr96Oc?=$6YzcnI0u(?EZixlP`
zi|l=GO2EI0*;<!9v&7FEr%4u6DI68#Skbe$gv$2pqklVlh^Xy3i?9Dl;{N~u0RR6C
zmw7mpT^PpgTlT>i>x>yQV-PW8XC4wQlw`}2vbLy1Da&W6EGaEYDWz2^Yb2ra*do#*
zAw@_+C@GZEH~*gNyyslk{XXY+-*-`RMp{d_HH>aApgXgl*Y>Q@_MLb{!nk42XIE}o
z!HqjhTm{|6Yn`5ngc-z=&~ZpE<?|Oy==dJkz3b%9+O6pZ5q4Y>as$F#XKgHjHubr%
zRq=1F+7nribXgKU%MTs&&$WOX2`7ynj`QP(^K*M{%qU}lVpG_6F$?hNoDJ^#A%tJ*
ziF41tC}YXb&*v-tGY7kv7QdnjQH*&br)ssJjJv9pravv1!A#UQ^(r$7oX{xUzky0Z
zt?NrSd_8Ce`^RV3-cFN5Iq_3C97Mw7xu={$<;@^ucl3fyi8RLUn@L!UB%H<QM$tQ_
z@Mg>_slZzn#cnX<ayTmJP%`RxXO$_KmwC<|STBdEy`<c%MioqF2#VNGn*gOkWZ7k|
zJgT@29_|TKMdz~S=%Fhn;Bh&?*Of`YOB?oDcIm5O|L>ThTV5tGsm%!5Car*z?|hH+
ziKyd&PL+jc$|m4_p?`1S4+YHsc&wH*r;Zb$;>>e{94L0n>kNCZh?Aj#kthCYpnD9p
za#J}6=8UqR2ec?*L^WCQs3aMOPwrlQ<TwZJ-#>e>tBQ!@{{#vcH^?}f+506ek^`+_
z(fg&#l#zQ#C$Zh0f|?T#<$D7-FmCD9D^f<n<dUQn$&(bcdAihs-;V>{$F&2(t5xv$
zHe)`WOImn0y|Xu!w_mL0-TR_8RU9oaa`bhj;@7tU7v_2A(_K1aUw%@<$dbJ=hnLXM
zw>0B$?<o#2_0Nc%7Sli{r{cYJPiXk``$g@7ha4a<wU@gYYod0)gZJkoZQS4TGqn2$
z2NwKG1JjJicxB%krx*)5#wHtRms^+sx%*`7(&uF4rn^lQPSVkiuq|TuaT73=JJwXP
zgMz!xWIqhZW?;d?w=ZPAnZT@-Ps@n77J8+$_?ntBQC}c4W0Sur<i&Mv+MBP1?&1O?
zN1rg!vDJEf;GHS#E5Dq9c2s<+xk4t#P6xZwuiS16GK1%~H;?{(OT{<#OWM!m>)=ZK
zMfx>w1{`}%y#5XvCdh2@ubb9EU45CmgJ;d*<gZdU-5)f((@m5sP-o%MTKTkWD+~A)
zNfN7!&_>a_g@2rwEL>P+@aNfQ3t;UQb4(uA#@sW<bnInVXkaURtRu@3{?6pDbakYo
zO87nhe=l{=@KoTflI2#=6Msp2E}M>5gVQ|5!gNqm$MT%<lobRe2Hj8WrsKb7E3(r*
zGSO_pph-T{8uA2`t~l^BFedjRo-|=%RBD!ln4S&zg{u7KQ)FP8yI0lVRtCOMU3zK$
zfelQ~|LpITW1#qqo<(Fl9W`6&FNh{wxG5Xunm9+t#^;M;dU4vwzePS;^ePux(`1e5
zPw428dIpO^X*e}Hs`P!13oBKkf{*gPFKjAv7ImZ|_w$U}b2Wf9$>;cID0B=9PMVJ(
zYoW;FFW)PS0Lbc($BAXyDBx1mC;FR=6Yb~Q%B%tWxkay3mT4o@hwFVU(?s&Ug>e}h
z-nvHsA?zv*Z{FxzEJ{_!oz`d1da?l$Jce22!Za+|>RdJvql)q7U*a7o0HPa`V=FdO
zu_<nmcIGq*iR*l)9ti{R$G%sxsnEjMp!c!OT|~571A<{qT<8-@eJd)Wg$-jP&fguC
zFqqypz9oVSK?-iYcibs>=79lma#R5qldfiLR^WnvSukeYB;)114&-Ik1PnVYpygF$
z16?jHA@_f3VvBkxRk21M`6-b{NnD=(*&Z3Qw=~eBc>0OtxEx;M>t3<8%^J*SNy3!v
z>gZ74U_N3mhXHP_mU}l?!<pjMQr|4q(5KtytiV%QT(}d|{=UZwa_g3PWs_Br`D*l6
zN+fT6Xo_3xYX$B3t%@Ba74(txa!a<A#a97&Z$~~@0wJy|XP8MsudQY;)C^@Y$tFj5
zOQ0o4TPI#GU#pD$V@9@_Ry_V4y1mfNo6o7$^VaQ0iP#=qkhCR87AYPsM<#Y!fTM$3
z`~Cr*E}k!QSLVs0p=IlRomq2GxW6U3)=3HDw}}a@{VR({|FcpTPcnxBUDwA4Un*kr
zlIYC(?Q$p<Oz)nRHix4c&tLzyLlNh?Gc#dA4zHh<7IeR229H0UY;sdqM901r%Woyh
z<CWUuz406~c-82td-0P3F1VK7RACU%RGJvl_S_WQ@BEA#Xiz{&mXz2`KLJ5wy5~fg
zDO_CVAyHVVfOE}`S+)5Jm?1fTl_Fybi>otl97P4}{57!BJV_BdN7}4<?wf$6X1%z4
zzXE!pilgNYB|Ih;(=Huk0>oX-v|brS3~?>4sR}0Izc#+(+C&p*&P!aD=B|h{QL)Ak
z!j+LJG9!2BC68k<e6ODtD`JetL4WQs67FjGvN`J{2Ogbi({@)?LccLVn(G4<)bLCh
z?(pP5?g@#`kqb&#ruFB=;15-dbE0e2&^e$^iPz`q6Y=AGiASBSI&#kNvAh4WVe$D2
zTa6APO3Xxrp3BuhdD_9RRefyOt#bQ^%@Jj68IrycD$ILFH+Nk9_k<0cUl(N8yOL0^
zh-KVZPsV`4ep}~iHqZm?;k%v+3J92Z)TdBz&6#a~);?f^)3X(edCIDo6Hoq>?xKZn
z1=bE#)bSpe<nDdX6x2|0GHy&rlZr8>iP`LKHvBp77o1I2$L&f*pWD7su`<x+Wy~)&
zG%r5X6SCAmZk^qEdLs?fK8kxA=y2e3SAo%!08Ol1dh*fYS#8Xw%HJLh;lPQ2=ZCb`
zkg++vq^CE8j*3d-cc?tSyUjn_*EB}P=orzdUPA^xZTvT7CT#*ywR%T2k5TaLxKU))
zGy{LJKU=vR;PL+v&92o@3q#+GzI~O)#0!~eW3D{EmL=~U(eBd1&&z6+mafvlM@NoE
z_Z{HPkG`j`M+_B3PquBn*sX(|VH>wDlQx5>a~%uzsx%x;lXH6R#KKOI3NvP@888jI
z9P{qeaQpM|!NeOZWGx@F)bTTi1e@nEe^+VaM0NMF;$9Zsvff-uC0Ib59D7}Phc?o_
zRz^2{VPQ$@rjg?>EFkcJvbOqKIv$c1-u=0gg>zP^U-z7_g!{!qE6!E%_`igoPwNZ|
z{nn;WMy|7h9W1NU7v&i^o$M@sljkFu;n5p^F0qFEfgj<69t?cDxZij>QwK#CpI%*7
z$K!^1sr~N543s!_H2hO16MKCA^9$W!1Hxq!8IR91@a{hM>Q<g^zL!2*3W;(-{z=)M
z_ACbGpYHH5ouZ?+!cD$cC%GW$DOGHEfPp6cc<aLpZOpl#TO%n5u;Njhqq;2vt@k_U
zx?G}R#oue@Av~UEpROO=HciKrPn$b0_)*byYwV5|ci#9o3hYfyr(?**Pa(5JEesxb
z)iV+X&^Nt$YL7G>?~4Xdw!S7~Ytzj;9s2?HmYNeTBxqxi@yfsfJx$~s7jXU_1(1?B
z8P+;L!}Oikvre_E;Wg&o-9NSigo&NW5a-Zvho4{Ao=g=~8u=xGZUFc8RQALs@bZeJ
z8+Z1gGR_`;ZV<=;;HnwFcWBVU9sT>Jqi!hShg>Z)0cn7e@i%Yx3u@u&ZTY?SzZLMz
zSz(t`wOm+5p<J7?qhOoTv6CN?31}Bl%c}C^LPMm#xAS2#e)eupH+PiBy|=nW?u^)g
zy-99P?`cgu&e^OcY%Pc0>q4VKcJX{c`IO{cT@CayOw14nmc>T~*BT#vvj(3qQTr3G
z)zEq@r1tay8NB_YvT5aRYxv?X8su<X6~i1Z=#UbmaY#bNVfz;=7^NSnl-Z<$Ho?_n
z7rLbIn6{&WYY5L5qO|6+?MWEEZo*#mfD{Um*H!TkS^`O~kwsXpjG9#v>HWS^nDla~
znyarR^qR)~wDTt7Wo}^brFbcnR$CtZtH%NkkL_|fm9B(^q}j@w-BP%${<_^MPYVby
ztoW|lsfeq-J$x_|AdRhjoEtek=5Tq1T2G^iB1&EDQCX%YgZ=Dxhtqt`Au52D0%Z!w
zr^%|U{U?L`uFHN_eKZ5PVuwyG2L-JDdn?>CSr$ogWXZH$W>9x!jx;_^z+#DN;zo5j
z90(q?wEt@g@j1jAu?hmpSN)QbXqLm6Cm9A-Crx40S4wsAH~}3*b~?UJl1E{=!sQPc
zra-Uh6BA1y;5)Z)k&Vs-+-N9ODA#BL??;&rUmYf(byb=`gpLAg<yUwf3pRlt#ed@3
zFB8znuGLyYNf9^Ie7}+?X#(M#`!dH~5YV3Z_{4t%C6v0J*158Z1H<0C7YYdqm}Z#Y
z(?lVn+H2=?4q+TfNA9Ek9SSIY{8_D;tukI-$kiX#=D^rM*w4Oh1!O5#b|^=Xu)*W~
z^{f##R1S<~MS3dY&o7IwF5OeXCDVx=Z;RRBd-y6LVq6j1H8Z|{7E?o~+slnD6WFky
z<9_z;NhLf!SJE@ROC5`yzDK!uv7!3X3-u+diKxqzP)ZunK;tmGriT`6C_4xzT$PkD
z3qQoCo08F1<9eC_gAJFY_T;Slsf>SK-{>6^q+oTb!<9e{HvAGD+Ep<^!b!hX4b|Ng
zJhg3Wt2%{uFaHxVX<P;EO^L3=GA;bj)gj9=WW(yK&ix~cs@N4aJkoZGimE5de|tKy
z;i&<;-<_t8*EpY6t=UJz(q?bFeNk+1rmVK{*~s&SZTSY*y|vNfWpKMg2^+lXjFw!y
zsEJ0F>R<P8>1eyTs4!uU4I1oqI}M`982D8xp`Xk^4-xI(73(<AR!)3sL#5z7>IdaB
z3k;l<S32VUfCI@V$B25J6eMnbMrmkcqC}j)v6IV8KuOiPGbmLH*}&G*$<V>=ax1ge
z)|i0N(L9o@B^6KnoS33mvhbrrSfPr$Dg4SgzCvn}iX~sIKGwfv;mMUYXXO@6p^+Ik
z@$&)=Gt2uQ3arva>&mH~SNF`I;9%Aq)lM7FE~m*(=IUZj(4ElT`^{m%-~Hyp589Y@
zvt`*}yDr{|NYmcA+yb(VOQ$iMjulBY_uszK#T3h^*vE>N;Qwex81*}kpAprX5At=f
zf8x{6j&WX28_F>GxS4^f;SVB?JL}^8%W6hNkF7v4<;gErH3Lt{S+YLVvyd}Y;3S-3
z4HHgPRuMd1&iX0^w284$ugCM;zV$Z1a1(3F)nX#6O177wrGttiE1wnf_#d3vyOFw-
zi9Rm+k&y%@cF8YIDJkGWduXpZNu7yX;{VDQ4bf2-=ZF9B^85lx`M1kg25zxF`$^)Q
zHnw%eoE`84Xr}FC`{Xe&?oB7*ycrGIY3Kb@k^w4qds!R?20qK%wE5`^Exbw%%n!-~
zIBla||D>LdqDPX%{smDmrL5CAxDr6WJSpbhQaWB*bl9ZDN5<Sw_bB}}09fO{%`;US
z7dOW>9(7U2gBnLq9xMm2ph2nhOBx=$*=5!IL<Lis#<?z+0seBDuWys2VU9SrY)6<f
z#x|J6$0h=7A3XC*5U6<N(#;j_E0u8Y@n(XD7r=+W0H5GpTKK9}`C;EC1-!p%sR@?}
z5W9W7#K;8-dTlr>LM)R<@y%bUS|7Qv=}+L1^DSijIND~ZVJC+V8pY2tcW`0DW}11z
z4^1p|4Rec?;&Fb-KJBS-o-b??s)-8H!0WndD@Cc&NPn*1cp}IKIBI+cHF-VyS?aRZ
zU0ISSm11~d<gGP~Mb^62MXO@X?p@nh+m~Q{{EehECu>MQqNn+lrh@vv4L8(fOCYV^
z;%D0<D|i?6J1A>Z8FgO=tKC<Yz;S<ZgXc@F;QqD~a*|Joc<$^G`@TVO{NCQUGv<mV
z)E93ju^ubozn^()awf!)y(Ts56u}ZuaiU=3D@9CR*Z)k)NCL0V8Ry<jvw)Bf-v0{z
zDImR}!k=0wfqHg^QNDZ@piw#_Jh4&%lU}%u=D9Dyv~nrdVvIQylMT<76cX^w-w!t|
zSdw_bFb}@-dNhM7TNlD2;D-DIZQgV#47p(Jk``kIn>YP4*;Xfy0?Lb`j*im!-wu&}
zQ9d&ms2#23-y@Gz5rkWF=`z^xM)PX<5mPuM6ra1_Odf@n91ayeAdBVBC3eq<rf_gZ
z{kjrS9*t`5cJx@t;qtW&_cQO9z&)=+zu1!U_*J3p<Z~%`9AUbySZ!wl^9%J;ro8>`
zzOVg%ev?P(8#}!$K5$^u5gomArt)}=9C$Ttn1Jr93(2KP90(AkVt<%C&I~@T7~%E7
zWT!4QJ{AZ39QDOZ@5|%efLBJTi#+`_UuC5Bup#)xf$Ta30#evJTE1x$F-`r#yP^y>
zkbTNj`cnuv={=rR?5~U;wl#eDw2BRZy`9cOk_zZv*>}gjkc3fx^ny#I*zhixB3OM>
z0WWuj1yLncad>cB_qn&mu)Uy`=If@2eeEr7=M&VhfN5~wve+1mDtDALDJr32XZe-}
z5e=+olH?ta8AGK)NczmU62^E9Ka07li6o<UU-#`bhGhPw)OW9mSl5{lc_p8W;y!VT
zXF`oZB1gA$%S&ZUpE^%HlS;vBj`vjJLX2TBFK}`F0140g%r^Gz*20z?R=i?_G3X3T
zmb(b5qD$u4@o;}C9yur-wf?9vxL0-md2XhLVmlx74!F_qu2vG0UTzG^Zcc>@3F>H7
zv%6sZT5bF+R6LzJZVba8eSVj9Yhdm*_wH@0=;$^p?YG&84NXUzvQ0F}X!#>@$BN|)
z?5!Xr9X!egtEJy}D7__Ps7Zlqm>Co8TMd#g&a&adwQrdw*%b7tmcG+Y(?K^^PY3#5
z4t#rLG%x0(h3f=2h1LtQ(7AQm%~{9<64&P074dqGWg1^EiO2szucM#)Z<@gLE&JOO
zAE~I+asIT?VO@M;ec-*Jk151N`&gOh(eO|8k|~Oc9*%uViCRK7gQ=#J=DVA<QU21u
z6JL(%;f@q((%Bg^DEC<!tV^Jyw6E$&%WFMcCPZ&r_1YXvO0V9s<>h~&fQW<f6MDGD
zUny&%#sY@!{p{Phj>px8b#JO)>7iIg|Gn(nmcUjivD5BgV37C=(fx^f_{w=+tmB*&
z=(TpO{cFv{uhN+zE_1r55Tx97C&?OWyvA%gPw;w?i0Y;nCc4=2XwhbFiw#`MA?PnO
zGEuHmgnr7Fg+n%9&mA-7LN$!IZ+geXoi=VO)~M;=Y{BglsncAbUX*;E|B8uLg&k@)
z+8KE4zd+NcYXCHd^A$JdGm+E0mOSW3M~lXsX}MDXt~xvOdwiKV8_^WFr;FDIBl|9U
zHUk*>TyEbp!}G6#prFmRROI?(gbqvsXe*l~IqYO$^7UtKc#DDuFS<7;3E9G>xX>%?
zb~=u3t^c8_L`M5#hJo2jY~h}rtNL9fI%a-Mmi<Fj#~@nd?pZ-w-n+;ty6CKpqLig?
z3>{U_5sPEmrU00oDuaqqG@McH7uUQ>#ABbk-=wtzlnU5;JDs880qLMaugw*4$$Uyv
z(^UY8nr)6=g<9B^Q-oGZ1U!`7txDesF!El+N4cJYi~l@p4w%W|lD0VU70UqT{LiNm
zd2?8mRpovdWH8<>o3{D`7g~jVntqOIVi^BN_ujLTc>l=AiPampaPbCv&y>Cf62*#>
z+QKC8fk$HDEZV@gJ66g$$!a(q=(W?SN(_&5Y}5>7*}#^k{jL{gRB(;!p?d2GQC$Cv
zPsrtzHEe$VP4iw12|xS(G*HeEL7^jpmIiZHkkjY>WI|0D#m-1MNB$GWpp8lT`hHfh
ztK)QZ&O0SMr!9A2TdgpTzZfX6Xtabx@g=VhRx0B9#jvOE8-#K5gT^r>eM^{rxcmHA
zsRH^-9?-icB!b6=HcWYCTYzD2(Y>-}0*3epzdaWtf|Kb<N(V$N;B5$BO5}n(GFz$@
z3pGX2srGl=YhEtebC<+OTO*Iz9l3{krbLk-9ANuk!VEl&`qpY!%3<owq2r3fV)#*a
z21A0)K!VL~4(0VIo6VeOEB}b&p8A*pr6E&j>8nWC(kF|atvZp0oF%CAF+XD=z!bWM
zT{qFr%Hqk7aw*OklBlP5D|f}H2^?If{HHZU7P%A49<>Wf<9p{aHa)@w;*a_rOjs+6
zkK30I@5`3K-Xc={OFmv-X#drh=p>6;UXh2M<jJDx>zWsFXE>m0)D%nKEQ@dW<CYH}
zm%}Xo!t79e4t$-jdpMLPiyvKTlho4Wv5~y`_?tF1WJ=_&vVS6r9lO_!sAdw-M)<!D
zLO2`5JGTVS66LU4kjcGM#PiQz5AH^*uwi9Fk_Y}Lhi@fhG_Sr>ME*xxw6?by1FLr1
zk3(~EIJkZ7zd<!3Zo5NT<9^5(i22r=ER*H&F~cH#O@uOf_oz!%+Zn@v;QX7PbOP=Y
zjK5R#o`f?g&FKsYV*tC`cVE9J;J)z1?=`-vcz(sIi#EMR@Y2g=4S&7@UTMjn{QF%E
z6})z-mzNtsoCM`XX|f`!IYswBysUxbD~7X9=Zrw~b_mKxE1~J5d58VW$awd>M#X5d
z5u7S=5p_-?qMfw1zqAGg>lUsg?@u%WX3?NWc&;+WcpInE6t&Rn@G9%YR3rERAvHT*
zlF)2w{>q3V760xXVV%BY1QXTfI*UrGSpDihRW(f-UgofDz3Yv@{Ppdbygh2TDwsr7
zFwn-8L<2^`oDm!#Mj0IcppJf~J2;uk=~yr%SgdDb4BfH|OJn>sQT$ZDLCr=6E~K%U
zN#~3q{YG$I_kJ=qhNtcp+Qr1{wtw^zgxC<Ub<3r%4iqe(j@4tt>EO3c*}cD$*}!xr
zHl?a+A$bVis3fqkEZ?pwQH}TC6GJN+X0(tc;a*MJql-qbkMVI^IAB0>H1Kby;$|V`
zd*y5Nu&}<FIh<w!_EmrP-{$#6R6}LxcTs)Rzj8J9pr0uWG4{kJM{6UWMwW4Au0Eb?
z2ycn7Hv@vrrLEyB=(snP8n|9;DV|!dA8lo64n4*K4kv{fn9v#c-OXkx+ROGdr`TA)
zY6XwWZ50e0iM;hW*J3FaV%8DjYD*aMkf<MD&qVY4yF!l7>*HwMhFc%KtRRUiAW;8?
ziFQ8GC4T$#F@mK}V+UKqk`?y$fz~=`ZRMhSqErv(1uM7%TW#QyW@XieWF0)?7!hb*
zsEbGPT=!q_<3i)=!-wkb=%AT+nFn<z3loVY%kwk<6vy@(-z(5TqKwS){NGHp{!}%<
zN#f=9K%+lKsXF-b`rDlwH!<+HFztv@CqPd1G6i4Wy}@StH$`9P^(VVj{!v9+IGuWZ
z#r79W{2j6CkX08IDV;*UU02w`rkb5a`CKN(r_8vD3Toj!i9=jQfGq^iW{<5s#X#Y#
zy{3g6GJg6UwWc}D7XC;`{qt*~;}hqs+4N~Oe34hPd})X+oRbqM_aD>7Nrit2k#|UF
zl|N|ua-A)to%sF8@D~ktM|oy_x~_yNe~MS_)3t>u>rllff2g>~7*NglOhB0ezd(fr
zfI}Z7%jf5{&?6@K2{Bd<pZ)j8^)3QDewenn@jC@y<OG9loitW?2aP~Hz`?2aS@M%)
zj51QLPG7nN!wqemc$k3=k(B0hZ#8jzd}rH5Q!#WdJ%8=oOD+hD{d?*-rj7%vYut-E
zgpvO6&-N<@T)0`;o4r9=4cDfB4Q`te#I*uxcdn(|K)K?!6AezhUexeD`g4W=z9lku
zo%(1Es~@N=yO^(xRAoy4t<(Hy>A%I|ucbA3U+zhnBNH*yY~8%fJRfcljTt0oS;2py
z7B{r26;W!E^<u1;4@FAqxL?0o!U4U!zK4+t*!e8$q-qf#4yCX!lASGK-QU9YE@uMX
z?jI~~ALT>Mh7+G`iY$OdN$8MSDUS`^&voNB@?&!6ji6Fl3xFd!)Vo{c(A;XLJKsD%
zMivP)AkQy;d>#7JbY2#dBt`7Q9}A#p)a}SyLuSz2lN_|AUk0WB-JevyC5XABg87;2
z&EUONw`nv_-`?N(cO&l#;R}mKzH5!9fOcW(-n~+|cKuXyZ?`ZWe)enC4@*-Rw|Yi9
z&Fdk@Ha2d%OcF)gtN_ovN)y<#vIAaRmqf$i+)r=ziD8PTr^hQ(69};C**Uz9=ieuz
zH`?-glgsesg0l}f@H_t|@dHy5Wh)+sTm82LuZ$R{5gj-XbimkILSGWCFWt1dp(BM9
z6Y~1lPBuI&(6{^PEs3fY`^1{QOJf4(`SjONHgx~h&4{`yiOXsi!)ZHZ(QQKytALLU
z?R8%9MFvvH_2X0$_Q+wW{l+g}a*g5q<Jd0#H&VEMbgBKC6nS)&ldfIh@&DSR7CEh}
z(x_%&n)0`ZfPc3i@G_h<g1RYEFy9#&9Pm>*6*i`Tt?%fTlRV!34*&rF{|uLRIMsg?
z$I0G%kL>H>y7$`q9;?)^kP4Mip+XT&Qlv7XLRKlelvI+0=zB<oB+7~i6;cV=^XK35
zoIlRz`MjU!{d)b<%`+W#7DT5Q#;pNkadc`FioUZ`2ma1o{BdSh5I@$B`{rd!;EnTU
zgT10UkoF(djju=u=T$yQ{gRi$qhc~4+F$6<qbvD!^|&y;KivMM<C!$xTcvW^7SUnm
zU2Nc6ClPcVlbqUhKo(7&`F<X{L<jS%YNr8PQS1{e-b1F#qj}7klu2JYJh$4e*<>$<
zd*3=RoOl$_-qNUQ-!3{R@-Vztj)-G2lWCC~k0Khr_lnxIlMeRYGTGgE5_ozYKkk!M
zLa+1iwcCRZs@F5V<cv#V=t9G{61p<J+Um!<?-U(eO>~y`?~q10*T05TXBF%?Mvkz^
zro-7qjkCkeGFTixYOHxt0BAs$zZLfgs2UD;(}5-Aoyu)bIn4d4lIC2Yh9FS!vr}CM
z&Mv%o7sj?8yUJE}=1h`ML9E#>HckgJ6I{(tc`D$W2`?=rEixYdu<4u!t1gHY+k9-d
zQN$*@z7nQ=8kop`(DrJwE^y?%-Q!4C!qUE{;s@h2air^-KD)Ude3Fr!A68OEed+z*
z!t=GT%4K|)-HINZ39}TJl~BRy%xRlT`4pV&;+(PW(g(4Zc5wsTsz^(AJ~JGtjiP};
zzM72&aNalUde(v}2DIKIt{G5KtMBIN%^wXRu;;*(-k=)FM0Ds`mr>EN^?k{}A0t?l
zu`l4LCgJN$t8HrYRP@N*y2LAG0u#HEClsR8@yZi>U$<E*o)Ov1Q)O=ooFXwZ&PHSm
zT=JSMFQj6<3hU8VF=oJXxya{2GZ~{fj%Ef4P_Z$7uRIT$Ln+e+f!Ed=IQq4n?S+aq
z`jf}WUw&JF=btRe`s*6F)sLCW@Q)T=-e}}<hXp`VKQ)*Cg$9OA^6|(AYNGq8+~=P!
z0CY>r1?W82z|_ElCq+uhc;rm?VAel?>bpBXN<?d5z+5+LZaoRF*tV2X9WCMQzsdj}
zO%2rYEq?3wLKRoV`&zE2Swf}rd-pf_WLz#DidcV383z}d0$<l#0!5ZI>@us4A83Kg
zzM+bkE&GxG$u~>jd$K~BRa3{)%ARlP8{~0}?@ENqPfIxYGg`gYh=jY#UVeydk;Y{1
zmw|=dmN4}$;cbwP8fp(rJ`0kQz#XIc9lI(m;Y~<aB)7CGo@r2R2`5BwY%irf`?4jp
z6&IaKoL0uX>k(0cD2NxAqMixaTY{Lqm+QMmCG0B;5g**Zi+#e13_}h}D0cfa%bBH!
zXQ#WGD4#e``tIW`$I1b`g6{lWcS-@v6IJ{8<XQ3U3B||}FMxc9_;=9{<#DgV#_1Rt
zX4Lm_cMISFxRRlF8!pJ=^9swtSErW={!f0lW%e<^D3@jI=y7RG-I2du_v<{dxw^oI
z^S%ZA_)@*dc1aSq#Kt(-Z=5A61~(KYkDJ2<#)It@&&BZy#rfastJB0swP=4+V{^#!
zdB0-7FNPWWPI<VdOc53vTDZk7n!(=woq-!-MKC4O-usUE6d_x9@5yMZDMWpq*!xdi
z7>~)w%H<uIB8L9t3~f|41-rEPlG5LT$V&2f(a1kd)F0P+5_{SNUb5BwT3;Z5x4E}W
z3h~bn=j&dq|J7;?d?s61gUk7Fp(x{9&7N7JU_5T?HL5XiK3$I9&CQGBhir$9e$5eF
zHqzACL?gJ<@gzUx1~*PjFsL~t3&id_L+1u&4IzD36WiPUT*&%O`%GTp5|Q~(hm^73
z5Q3xii_`aWVwCar57Nym#HoAU;bpA`aK~}X`%?-B>c+b248=2{NZi6bU0VZCPIWsJ
zG|!Hy%a?kE-!P+9ZpMG2)%vi!cUMf&Wp<P-q7Os}vtVOD**7<1eaK<GO5xndj^Dkk
zN-Bd{v5D2BNvu*2GLjPLu3GHacGftnb(jr<pL|l<!q5XTL0P%iM(mhop~mvxF%E1L
zsm&B_(1q8{;k%pt*zv;no1=mfT)6&F!Qn_3T~J9CYu#MKj+tRgUi;g*u`nS?u4+^V
zq9S@X9x~;?Yep>dO~t&(`zW|{BvJ=Hj3sv7@8ZCn7H4JUi}-P2A9s(5f)2RK<YoOx
z=S17g@U7ZDf~fal+IGB_4pLQKy_R8Ir~*!<p3y=$u~EZ*yFVRriK(OX3*6}E)vD|C
zQW$a8=yjD89aK)^+rURW7_rO#Z!M1~vVXAROl_tC$wyppX@wUb5H+7q28m&eMCSHA
zmuc`TjCN7vBtOP(e)C9YLL6&$**Rx!rNLnzZmSe-L3E5;eo!1QiF+;%t#V4yAbsXE
z|Kyk;_M1eyUbmITbbIeb?52X?83I{;3gL(*+qE5XvKSjAnJ1V=1va4%hb!iVaovZ|
zA*z@>T2(l{;`XIN&~AHIHYHIk-Dip{5(-FTZ_HrcP6hMJ8Yv(5i{Y8^99cy@MV#|}
zcRtyL3Q<A<Y;#rO_{c9^zIC4x9+>%6SQ0`7`w3@jb-E<FW`?K6W+`L;6+zC7Dk`u@
zJow&ANa1Hc-us5XRj{P#V*f888tkc7O}F-y!K5rIll%rX3@Ae4#x5Fsaq=mXpva-=
z>+cGW3rYC+-XeMXa~d@Hc8kSvuSc1GBpn}dGS=z_waHNE@G80HE?<NKk|#vsZd}wr
zxkCmvKdb04NXR6VUQ)z-S&s_OznVC(?ZCT>hjgGrS!{DuvJ$G_k=p6&KtcUIb$h+(
zy0Gthey(1jGEOB*<9voTs&F|og-Ytd9)T&ZSFcp?wuDN`WFr+NKC}id$mzrLha%b`
zy{dT8)OpkSLp1a`UBM)8X#f_HB6eMqYG^2%V#Cx*!=;!S{r+%6$a^?tkhem@GEMQS
zDoHwO`~GTs-C+dDHZ@EW3+gza%QsqKOvmg;O2?mq34BRq4c;+8#)EP)jm6q@v?gWh
z^p}|exqW4`<O2=7wC&TUw0|`Gm!hpWPBVvhX$>E)ZPUc>*KBGuqG))vGUAWL9SdN2
z=sJ6<SraW1buy}(sEF0~vmdbnTu<WY*e9!nkv^GE_E5Bu`#}WN{XW3K0?d~&)IzJT
zntwJMY2o)vXI_+=T0(?J{b!!FeXYj|vF=M`e7u+5a{Rd^@E3E;2Q_M9gqu<S`gjrs
zKlpjWSIP=}B+vO>u-3#_&8R&8B^B&eQFv3}X$8Djcc1XQtbs?D{{_6<uY`e~6;b)I
zR`Ad0K}b&?83$&ZlvE1VqvG?wj-+%eXuestSvyr77o99Lztu=%9==?bx?%;pjSX5a
z9U@_fhO^{v9dRuEM+>&}w}PH++1$xWYM8>Q=XF*<7*F>TS-<qHAizO-e0`G&{?w@C
ziEQ9Sc{K}0*0?2PQG4z44=ZCv{fVwGN7+$r<F?L@OiK{gvtei9Q9>4Z?(wf8%=jxt
zCAZ1i5_Z=#>~naifb1<Y-eiY)B3h(s(sdBP=Sdpb<B2?av<4*^=uHwnuMZXsgaL4=
zTrtU1lEu+8Pm38le-g@R``lc_03J^(kXuWoQ1PW@f)MKf@kB`e<>}oF;Mgmok$YGI
zLt{*AdR04!#&8}9uQ&@RrFiJ8ZWY6P=bwq0SDT38Hox~gggLD4KTyN(DuU`Pe_w@$
zy(03*<t(qvm_eV#Ip(n|LU^jP{7-ZRK}31_&1LAAft7Q-|GO^&xK8t6z@|(jhNY`h
zvyYiVosZu4nsHt%-&gK^yR(kS=;m{IUtt3Oop@M$aR)b+uywsX{rVk2nJ5;fvY9~4
z+!L}iD<?W_Dn2sd^^pk8wzaI>X$%%8V%7;Pvf-fv4sTo^cM^f`ldkM|U<6-egbqE{
zW5ts1!>@lN^%7i0(gi(iM&SC5d0DS$9j<(qedsndKy10i^Ox*n2-bl~Q=@Lom|%(R
z#hZT+PIX)2q#6uh;lcadO;$|kIW`lo@M?qz+VA2NMK^%h5!(l1#Vf>&&!5vmuD^-g
zBi}~tGxfnT#L54t-ZC*Reg9uL%Q(?;V9I-^fIc+5?aTJ%ULr^n;<`)26NC`sTX^_I
zJ<vZdaPyMpBC*<^QF*=lAMqboT5Z{~E)?puIq@bf5P>2QH5R?o#4joSh>=iTU<<k#
z#%;Vn?6r?eEt#ApQod?+vn}a>b8?-dgX{v~cK2+Xjr;;Zi(6`DIj;l0A6WDb87&ak
z!{T$>y_Se@l?>M&E*+5mq`rFd@&d6x<mVdXtPqu1_wU4}(m~%ZF7>P6B4OWLbnjpR
z6HY(78z4xcLy46C_RkHA#MbZTCuLWe(LYt}@W~f6P<X_V+fuqjD9+~8G#z0<O(o}v
zx7%r;RX!^HuyvXE<WdtJI>U+%#sd4O{Zx2Cm$e;NSS6^AdKPZC*ikWh{jOC7DkL`^
ziSOFRgvz^b5`Al2@X6=#OB+9Jn6zF}YN9YBhf8SZ-L2fXwZ6^3wTc36D`!&!RM(-`
zPAjSFdwDUiDrNtD2?{i)j+Q8zu%H8XQ*TukKW3TFzN!t=g5FEITjGzf;<(TmwyJ1B
zY+ZG8vj43KHJf_WZ`82i%GdE@>fJ(k$u_)A`k*FkPh2fNVZ?#E{Y<Z3*d&6=!@lB5
zV;WFb;3JmM#)-R~xb|6fiDIC(xnM%124uO>;*!(3vC8(l&`69pe*W-;@13d!wCAMB
z`bP6&!mR@)i|&#*A4=*C`%H$F5z1jwK0g||dOV!jC5=6YsLQvq$guDHax+(mAdZRY
zx$1?>;=(ucyJtelpl5aO>BdSSth{)%xaEU9?tEW&@cm&jgt!l|U6c?(Arc<0y{mxp
zci(oFg^=OHfbmd3k|;*x9jvHaQbeE1;}<*g$#7Cd<5G^6INoZ>|2^-kj2ALIN1Z0g
zuqpn+m6%}(OnlbdB{8OgPqe?}v>(s_hLVeeU7Zy6EqI*z6|IIVe9IQe9GcLVsS<bN
zl?;k<{V3a}ua4=d4i}(X6Kd~ex8MFDhgHwspZ+yTM&U)7%j4g*ATBEKaJ#4io^|(#
zYkQ%I5BR+ECn?(St=opozEKgMeu|8DiKXDtHk1D77gX5v_<B!Yv=UCse7bqZiHbaS
zM`DQv8d(17TI6q6#w6NT8~e51Ny+lRxwDrJ7c9>UY|~Ul=cvst?K|jr^@`3mDQR6$
zyX2&?F-i?@<oh;F@ao{Yz-m7C2t9aWw1H=DKM9LBC67G3ql0$`TRmRz8^9-#!S;7L
zWXz0cjz21<i`Sk#Y|N}Ngfuaen3xk9IGf6lyXK^ergKA^x|57yT`aTn)htc?dTT67
zY=<tg-}LnK3o!+8*BJ+;0xcY0ciz52SQlYJ=uL>PIq0~B6l{y6;CM)cY+tMn8csy^
z*6d(F<kf7?M3Of8l5#{YmeWzI?%4eO6aWvq9GR0>weeMt(Y3!hG~62SHhh1;ng{Kx
zEDbEyMyVS;zU6EDU}s+E(X3?!&v*MZ2E=M(iE;F4(*#ZY+gZxu+h_&UXv3LZlG@mR
zTGn|FLml<4xOif%tfAj#<&U{11x1n@CayH9;OzG5$i^gV2yQ(%t?i|S619cg>Dv|Y
zumjr>trymCh#d9ttEMI<(JT2DCuPv$a}j*4wua9a>KLoFWYoT0o2OAEhL^L{96n`Q
z13pqEpU_puTWL9)EhYu<!s6I{MK5cxe(I-@5u=8sl)BN?Z)})Q_u2o5pfxzqLlk4)
ztKg4$wi@fG1tR*<_vg+<RxmPGZW7L`jLW6jZA>O31b>M80Rb~BSlz^BblF}J@w&JF
zZ0il;QD!i&M4ctrXBYCGGgyzIQdwzl9}O_DS+qjNZp}|ccV2d$kij=8O&g>>{$&iM
zPraIL1UOW-alW!c5|!s|B$VZ*8ObWsn_t-jH0-fwX8$9G+`LrN<F#{)S3jgx2JSQ9
z=_CFy6(bRxc<e4AqrAv4w{*_ys<MEM)v1T3D+E#N`1A#-$R);cZC9VrPIKt2sfu#`
z!HXgB<@tKj%Zyp)SU<*s8Dw0R(sQik#PWFM!Dn*IjI!0PL=#mr*l;haGn<_a6XjUr
zv22MEYZOv%=4uKxq?D06Ma*c?@b&Eq#}eb^<RiZEBookVoqBYA&oZH!e7iM-vdEyH
z9w-@YGlrt{`j<^?bHt9trPXlr1xCmq$+t?*7+x>x=&Ek|M~s;aE?(L+&ltJoo<4Kf
z2y`x>z*))|af^H5#GJ?4dk-#dq}Lik;rTct0URRMzsy;fi=Jh8l7{m5<P1S&#J+ri
z(ogVtCjDb+nqh<&d>l16YXBG8Ld|wpv=Jv0r&hyhGmO7iGd=bX>Vqyzox*HW9U&L`
ze%Y{MnsI{HJkNfMJ|wi>pwqTpC)j$=R@EGuW^~wPchs)=T6xH1gN}F=BgQl5+9#N1
zXy$q(U7_f~fhv<W!GR`5`F|eFaaPleNp`#G3;DXxr&KSHPi<#B`K|o!Zoo97IN0P(
z#Cly&n5S+H_3B|n_<s{Fdp*tY4E$a0m8k=ZA*@%wCigRFNg|aNb~6n1Ewi11iaKy8
zf|5{Y|BW##^T_qf%nXCj1<|7gbeO2xv+cvL9}Ml^L;vmiILoj$v7I|ir-Oxz)9}7i
zBaFN9&VsLc<`|-E8_v$Wq`}|RAYfe@Wt48ZI2kIs!1zw=Wm<KhLGC+cv&$F$Fhn0k
z&sv{bWZ08Zi{|R7aOQc{rdvGYjM(p~74|aAj04Qp3m@jR;Z3R~Wy*7cF?6l5)p~4&
zG2I>g`5aXnD&%C(i@us<{9X~uS3AoD!mhXYxsFgkeK_$j&3KA&)FH6sS`IUus%>!%
zd!hwbz1w+CzL{nOLHD(Yp>^Or(KR%&qzQa<(gwM}Sw`LKW;H*1R`~MUS2@8!6HH|a
zS56qtGdjXrU-N%qgN25Y;rRP&J^1>2!Sq`0$@8BFE+uh*1;2v|jYk7AvRh4UjF%ag
zK1hW#PH+KldxmJ|aWY7CTuiVFTV)*ip3TG&!vpKYnnmV@)S=z**1Xg_6VyfRXJY%n
z2WEOj+NAyJz;cu0=my7i;PywL-IF8;{I(hiGQ%WbuJhY;>kSK3TvH0-jS_-8H`k3m
zJ4u4?His@*da{9I$(bA#b`j`JR9oT@Cc)O9H%=wValqz2ft~(^qL7es$KAbB4I)+l
zvr%T_0?y@+F107bLB5mku5FMSjLvzw6H+{o;V}{@?=K1Lsyq0yjnu&DnDE8}o_tX6
zBEod?iZndyQHj1MtOk=-OiyjP1wh!H8hY=mEJOyYS+cKFgZyF{_Z=IBpgVpx+Rb}C
z2s~;w>)}#^%YtL=r%)L9$`9!L<W~f_%<&U#6g8L;uz2-sw<xfT6;^+WQUa6EJ(<SA
zYOqB6`CVR8970bIu-ZtgK<85O;6jfYj5%-|OInZsk=U}TAN8srU3p+%<xvvU44T}$
z#Uc$Ydc}rei6jVC(wcp5pbl<6YBK-n$%1`?-LAACGQ802D%H~`!`mO5&&|ZkgZ#B`
zxu!mva9lsAFXWg8{HcDtBRon0j6V8b2tPo9GgJTS&d#sp<lk!}^UsRFRBTOEK0<}1
za)oO$A1Kh6)_&`cnKF!YY~3fm=Fg#Dx^CqzuK7D3$MUO3DzI^nhDOsvI%s5c5Lc||
zK>s^OeW9TSrAsLwm81iOS1Mf#pX)#opG4$=2PB|fkKEq7OBb$|P1m}+>%rXb!rdRp
z<hA>@Dn6gr1v|lC*|BRJzA9|f;(J>ID(4GtUiHxfl31L*1l0%>D#Vqv)^dH=l@xI#
zQ4gN-1_uOhH32-#Qr2cdfzNEw!+F7a;4Sv?{e}oLxYtzIbzrMDI1hW~DKYCoc%z(o
z;d2WZq29OsN}|G9*-~<!kuDsh{Fml?6rlb|UA{O$g&emakvVA{uu-^h{OK`E==o4y
z)5}VOu#p4}pGP!^xiOuSx5o+&aJ-hzVWNT6m7MfDs}$(D9;fHH-Wr<x_t)g*Qel5w
z!MwMn1{64NJM;UwH53Mk5cOl)P_^Z%0`GrnP_bE2KSI$4b`8Oa%cB&y6+E35v{4B{
zH-DTl++zc&KkU8iGPR&?i-J#ewJa>eoY-V}&<0d0y;xMmG@<at=;zJ@V&FdAxy5qx
z+T3zuC65~!p0$!Sazptb!X_l{GPey>b-a925J7_2&Ww?%T4sprEk4Y6Yz=XK{x(Mw
zRH3Q+*`8Itzl<=Ip|V(pHQe64`e`st8Cn8zDLQwGi8vwgOU$)a@N4nr;rSdz7>bIX
zG_U?m@X~i*-@4Y<4b<Db<$>!VLe_G9L){!vu!YZPzQhtzf3Xb2*T}%++vFLNJrf#n
zW!oPoTY^*exlAn^N$9Eyc}`JfLEC3vA8Y5X_4Vof*G5)E;nVxf?g>dYJasN~xket~
z_#Iv^sTm=VyOP+u-Gv>GiPe}gfB`BA61pZX{Gcg#*-@X11Gm4|NjkmN0y=y)rropP
zf}T^8+sC%8@qWlQb$=goaQkY~r<KJD6*CUsw>fZN%D~Eh{n2J1*HFSsKgI;od8PGS
z(j3TfaCNtPsVRK0p=JvmoM-sYy`NEd!;XT22_rV6CJ^yY@Zh@QNk*`KUU0S-JK8-<
z3i_jN0?A^tj`p5E8FqE&I4G-Z$U4=>TpVZ&eXAa3a}K=>V77gfk;{gTUEyQn)ke@r
zyG2yF)-i;?6osGK$%YdtVSXwiM$lxh@#%Q|3xZZKZ+%LR4WEb&xV8isLYUX&?~C>w
zgdPs253aDHqWDkm_!a|*s7e(liw+X2ty#sxORVVFq$|&CWB@z<%xt;jK0*+A;#%LN
z*ih)}$BdzTedzOj;>f#xjEG5iQJvw!hU@qem)1$F%}*U<=v7P*nF0KaW6#+zKdWFt
z{i+@eOAsD+4W|g2o79`DChVwOS65=dtp_g^+6Nm_W{6OAIfdB)cHD_a9*f55!d|<7
zbx(Weh^X$_pCykt@X*&2@Jvt_%xgIM$|M(whu^Mk>&f9nJCl9|(F`4MH;9iv<FHJ$
zZgBA|s^Y>a^$tG+4IP+sRA`g9yh;S{ZVpRi;=$W2VO<(8=};50oGmiKghiIYgmxe=
zir#$W$n8RhqVut=L89yMr>&RIL2iE3kG?_7P0`?Y|JC3dTUpRBBjCZlHUVsVw!us-
zodzV0TO~hIS@AZ%wLsmlAex1TooxXc1Z167&iKcMmlQuL*sKcS!K^T=*gh&G796Pi
zcYp&$(*Ld}>4@MT&YYCmja0Zds5_!E#fieQACp(ki{jtGKl(Z^wZWfhV5fH`H?mT?
zB7(-naPes$*Dot==zrlK_v;WZ9(~N$tQ#(YZhS+lx}6m8SZ=7DbLK}=i;fEmR4KfC
z|AfM|FbecVre_W53*w@$_>@1Z45o12)UVN_z_~kFDm!)x;r=_{Mz~jGaglPa^D{FA
z0#}CkJmZA1yC~qXjQo1suX`iTbVv(caIgGM{w#vWs#JThL;>&cdz{Ey^EfHi>gvOm
zVtCA}oU(aT5sUv-cT$-saNKO2v2mR^4mFO|9@kgKoAqJaz0D{<y5!a-?j?zgc0=FG
z*HtjgX4zZgHU$zNy(w#xm&S^Y!VMG_HJt8hQ)yDuhCz#l$<A3By!?c+K{Jws+M7zN
zhkCVPFX!%%xj%AP;keac3m+LzaM&K-_Ld6gR;aa_ObSSK(K{xat%1^yJ>M@Jqk%=w
z#=bOhMVykHjeM@Bg&wJSHJg;^AV~#@79%A*YbGU`{)&RT97pz)kJBOeJ(*PLt&9n`
z1AI?dQ!ybke(y}b4t#De_CJ}Xg2Vgvn%~+%!*_3ESC;>+<<`{m_Qv<BsJ1w&#xq63
z2ccg_UX%4f)g`<5JTnQqSL>3;PSY{_<h#V*5e9HFU99Y)wmPN`3A5Mq&@uJXN}BhK
zA;>vQsWogR<FO*#z9_1Lj$fVxYhN;kSet_3b*>s%tUwRSlheUNXDI#JYNp_URBlgO
zO<boZy?ypC9ZzR9YwNa{K}Xk>$Gv=7_^K{1M>&R$Zp~&XI;Sn5W#yg2>-$<bJ1e>4
z&vzQ$EUrr*<phv_eky|`Ou@u!CGAvB8ny_mewVKY;Pbm7;BQGmljm-)mB%Q^SFYd|
zxz=k9SF2L$btxG5ZPSbA$28IVV2eO5n-%yA8OJ^t*24BHzQb*0>KL)P%V0yO6&!un
zBK5;v3tOerm(p8Qu{gb6rm5KqJWpOzF1(?MX2ybTyL*(-A;dn_ah)|tMIV{kz4m{U
z7Xn57{p)cmrE>cnF>BZrufZ=DLdI@as#xe2X&ianIV#3u4M{H2w|8o(qoi^!rpk%o
zH?xH(?jb7(uX~&?{z?s9j*QeQ1PJ0>7A@vxp%u8~+8s&Qpo$U!G7HWboY+_)NLF;W
zf;XLcRw;xs+B~PQ7hYsW-jnR&gUnWdFS7iM43zM?@J=}|@+`4T9sTn9mL)hY_I{3g
zqJaMc0096043~E}mJJlf?Y;NT-s2tCYdyz{(69-~R~cEUtW;J-*%28<NK;lyi+Uar
z$==CUR%Fkt&%gH{=eo|h&UOFpJ0UhC>gmEC)UVA!4Tm>`ukzg18~$Qgo<W1Z0&gG6
z{OxAY-x`2=k74gy*}@ohiT;sW%uOV`?`jso8bCl*@xk1T0Ct2sKk}+vCt}|7I>e?1
z0Z!Wb7Muqk=H+NmrV=rX)aI3y(Ec(2yOy>3P&OXS-6D0&mi!C(`dUOtl+ge}EFA`{
zrZ_RS<ZjN`m<i;;)D^>Ab$#fMb6c4iVaK#x<r$mYCy}{S))anEJs6|GJ}X<YVD)>(
zoe$L}5hnlpYu|Hqp<&xzTvLz{yYxcyEKy+s>D3!%`aGZm^HV*-FG+M*)yhPSdfYGM
zKIuR4u0uMo=Zj=|y`;w4Qx#Hvhm9dJ;*!*T-Xv(<O{DAeqQpGKTSLmNhLLM%nQy`e
zZE!LEw<Gam4_zDKH$QLLk2p#LV=0?9jFRYMl3lmah@MPRuXs125qE-e*GmfoUM5TW
zIBlXOPH~1?-&&B>s+KI$H%)*DnZHG!)=*a!vdQ5ywFph?;S2?3P0-|d{`hy)3L4YI
z`MBG%0_lnnY|c#AfL&E5J-6&7RDA5-qj}^iN-(}FWJjq1Hs;aV!8;46=K7C3B2y(A
z+d(5u3{Zz8z2un(7Jt!iY_r!ZmTJ+ll(~M^DIx^bTO2D8nnmC0`H8cOwV>RE-*&M7
zh%l8f+!bv*gVsx+Ot+c3P*<PKhsuKlaCfC6xBs0&g<jU2i4EvO<>?t;5nTvie1*Ry
zdSntEx7XCW+cto{pI<Mm8o|TFPjW7;_#`?UU8kPKJBn6zxAGQy;z7~(3@hdH33MPl
ztz*!196hxB_ul*>4*F^+8=Wpqph8CiMR=lrqhBHzL;WLg@Jt~km*esT`jwm0h_ZbW
zohkEsC%}#ajpd0PwaN)p1uZdpj-Nrlym`~{&O{Bot4FBb$xouOsr<?oWwWTfsD6-D
zpeih#)>BSwn?x_YW%(6uIgh>+xVk(1R0YOtVmo}EPoe$S-T#YCTttWS^wW-vDub}=
zT;Y$3X*B06i$X5rGP-@pOg`d}GF)F%bQWHiK@a!Sg*QD~L2s#vOnJF0LBHN04(~dP
z`pFl0iMgzyDgzIy_evE(=cHhN6XjpDLZbf66lnv^eer{iw66dX^d3#e2j|i7LZPqU
zU<<t)v~r%`UIFYlLN?t)7txkr5n@g7HhQZ&aX!CX9^Q0oH{K{%LIYlORca0IqPFj3
z4^42&gO*N<-sjn6luerV7!6Qhb&n{kcSGeMYMv(ZwbLs4%#Y5iv78cnfBVL5j!9Yg
zd-7WLnfW#J)=8=9abs$Xg_%Fa+DR7tf00vFOE%C_oz@zD3R+B4`OgAvmkiMN#pumv
zZ=uO;D$FsHbQtT+yJEL(WuT6J!fX2dHX0{38S{9D0b}`3bLsGaH2Bqc92#ZYL*K^<
z1=^T0V{0jHKHWaja4~l}CCQ2cV^*h7>uh4h{4f8G9HWv375Vv!Hy<gn+(NsH)219)
zZ1N1{k;hWt#3R7UXHJdHrCobm(aed7oj%_sY$XLFOMkwr?9*UX`yVP|E^}jMdrMFA
z>7^j_o^0{gQ95j`gN3i<C@+>~dN|O#SrV#5eqLEyV!&*^Gbacf=f`xC`rA(COTr~*
zE+q*qW^816P@gqY5M!NCcd3bygt7ZNuUFo%VmPnA0hSZOShPBofm5U;428R-Dr$3J
zZn_IvXK#vOG>qg7-xNt$sVh`fdB=%enh;{tFBQkGr)b3vS4+Zl=LA2WGdEU@e;=Ml
zlEkbh@9rOEl!E`-4_&_`#fzB-QI%K!mckldPGfx6q(EPI;MWUYe(b4RPHAVE4ED(?
z-ZM-<8a4?&LK6f*?Af{XO5%Mv>{#=7QU0_v#DD4e)e|O+m0yccTqsb$vf@Lk5?5s4
z?4P=@$W>A7RN=O?SFI9u=*^(9Fj)?MMaJG+JtmID*xtSQb5jND>>It;FeDF;ZQ5l<
zD<v?C+p$+>L~vN^Z1bXRyCQhyScC)-rLfq1zQ5M`cx<M;IFTf!0@6i-P5WP@u^}l2
zk5zjDrYV?5)ibOHS33%Vy-&+xIft$+3!Wlk9E?93A4TJVb9J(EkyainImKH_YpRYJ
z&e?@T+7LnHSBCY*O9hPOe)$H0P6Mkf;Gal7p#jc27RZE|5*F)VUp||lfyqWU26rcG
z!Jd2iCyfqejB)ynv3a8g_W1nm%hU@bX!^iB`dLdAOA?lDE-cr;^n%7#>3#H|K>n1P
zp}!jT=34u+6IvQr>d5Azz+VH%68pR$LBwIyUp9rGolwU>y7_2bIY5-9LzZA14(kgQ
z**VEY#1>}wR@M6sI5=>g-sUw9bJ>!bs=k27;(Cv|hYpcJ=BG?lLkSMkGwn)V+Ec~4
zyjBA4zc+#f+V`zbLJsEFKB-4b6|uM4Qa{d}Hij<9vPxpZVXGhUmg17K7=@3X<e7G3
z;QyVcE54+Pxp^#JWKEX9#AJLcgcwX<?uBn-OP~t&eDb?o+hHM$B~N&BlgR|GPRug>
zs8GUOse3H%@o-^#Z+&rYBgWvv{HS^MlLB_NWB#yCI4!1sffD~T$r!5VO+=lZ$YGkc
zp20&IODO-9X}#}a#z32OOl~4n2IF9IuF|~Jf;{P!uuFSj1OW>14P%F;u#~>E`MIT4
zWZdOTXA`p#FoYI$X9!DRs#f1p49S#mKS4BdG?)w=<J(7<DaEh~Nmn!Qp#!E4FZ$YH
zL+F$`-9+9M#FhnLN3*Fh0jE^@?w+|Jm@1W9j}iH>cCLt$<83T}^k(VLeE`^D$aQ{H
z%!N4$HFNxnVS~3KTt<J@02ba9m~i#7VRbGR#~5STA<Nkz&)Eq92g1~1=LiF)?!B8(
zM#%v@Is&bwrwyRl`D__w5H-ffS}1PM&H-^Y*K}?L>qBXOLEN_BE=u<{!?kUT9kl4;
z3sf@oVDtFo_N2)wI&C)?^{|v3Y`X=jusU7%6LOsC!h!!U*#B&OYRwLK<IvfoyE+iB
zR!Vrj*NxUcp5SCzVS~>2l<qM^2NF$ByML*Eg=}kB+_cDJgKH0&>7OT%V6w)NO^Gys
z9NCt!-u;ga(o65&8XD1tO<Mm|hW;spqJhiVT8|CZ*YkCUbhROfHYnCTei137oDDB0
zvB9YGwQ<orEr^Us|JwC&6`38abr5!81G1WH8jev5Vkn6w8Fw}j57S%UZa-xMOQ9!E
zK3~y<ZXKsyUBMlsdnR;QQJ5V9KOOVCy{G{{`Oqg~=k}4m_A@hYs@Q>q{S<UPuK__V
zntX4KC?RA}504phK!~jCrre@BxD*+`xL->JT<?-t2fuItb&43vK&U$8zWeaRkVFIS
zmnEA&IC6rjU#3Dhy*iZCh-7IM(Zb^L8TCmzF1Vb_7%7!Q1S5)DXL5z<L9c%$c)f)S
zoco-TmNkjsZ;ZyP-(>)Kv+}2jrQC4D^ktmb4+1E7nNj<4F#+1bo8k0=2ekJ1#pfak
zkk?W);E~S^M)xzgL{MI+y9jq)sS==%gk>@TD+oKd<>fB&!Ih93+&_NffqwsQ72O&e
zv@Y<66&nbEcl~0<&?7upc$?<<oZ*1~u62LmDiVYnenMFe-gt1WsegXjffKw04x7Xi
zh2b2bLw!*j4+-wFM^~H=_R-#XTRb2FOiKL*0bB=jvQ*z^T;zu5;!L?CkHp~5rlMxe
zIu6n<){hiq@jxH)wKCUO98x6iua8XP;ML2zAhT{>&{p2MuW2d)h5@g-7k}a4hy~_+
zSDGLEfASC;9VOxZdG<Dq1st%6q)1xD3xJPw2g~hHDY(%a>B`Q8hk1nsV4)KNOuUv^
z`H3{lMeAE_Y2aZhw&mSsrZ5OyIJ+=DC<D3ua%<5+c*vHwrSC^XA@ySB9XU}sXl4=W
zv~0k`zDLXX=^ZiHFVtp#epVjr-Of&}sSzN$`Gn`Nr#OUI?Xb$dPyj8|zF@D60CTS^
z!?_(LK>Fk9;WM*}aDlQauhxtRO{%Kvu~w2mHlvx?lT?N?f!?iF+eDbQPx8cDNWr{C
z`-M0&6)5|(*{}ai9X@{#$@aI9hJxGD$FJL}LK;==;`K5Oxbg8%F};NhsB@Z)MeC@+
zZeJsnak(atZq1d*n9G9c;_AN#D{3I+ebw~kH!YYy@8IjCD+id3&5*4Q4lG83lPcG=
z;qwH)R>>iGc+gzIy5od{i6bL^LPQ<7*JsjGw<r&w`)ni14hNpkd_9b==|awcUK7i~
zo)rA{-s!S9APr8uINhKJ!-I`?H_3{iklxxIo1+GHF%>rX>;~|$BXj@Q2Su38-y=TB
zP=&G5ou_d}5zwgjsklV11awukt-}T?P?B#>)FT0mIte3R6qMl6&WEAQ93==m9r2#;
zGeC0TDRQr<5@gt?(64?}fRBL<suegxkep||^KM)b9_?{25T46{si29HO0prewpxqs
zhbn@-9s9zYAQ{+E8c56THiQ&K(%J5D1$Ysn9ngrEf;-t+lKj+U*jE1axK&C4+Ea5D
zFD!~5%-d`46eNQURq|RD$b;1WFokcFD2$tgRL>pgslD>39U=!t^)<&Hxd_5B7Jr!|
zv}DkakQx0gBMa~M+Tvy7c_BX1y5i)4&$m|i#jpI6hJOBE(N6qafZCY99erj9RBw6c
zmg}Uz`_`j#T!L)yDnXOG%-s;&f-EdH;w0f}u;W9Seg>G1o1=;0Hw1+QwdDj$3Aiz|
zX#U8T2AVyY!=}C*_<v;*@wSjS6z?<lI@D7@g6f6itlj{zIKA%8AyKg1m1esAW*Z@J
z%-8fV1MH5E)%oQM!z_*^dRK7+x%g_7lybm}2wXwJwd;Z~e3SQCTH^|$#Q&j{aNhvz
z)xS-*M)QMJ7j8YvdkM+=^!cCffIduGFaBvO<^}vJK5eFH0eM~d-;-=HeTXf+E#38x
z8<-xXRaR)vBl!BkpOx-<;HPHkbNB)m*n3)puMYf0#JD7N{YrH~E^EeNh>;Vt@p0x~
zBj=GTq2HU7cXU8X!!$5BjUE1LvaVxVUqDVW%YV|f&;dz8SFzGbR`_vhs9S_(2`RQ?
zmi+vfba4Na(aLko@OZ6E$IopUAz6qG)$VJ<<62SL<Vr?Z_H-Y-u)2b<SZT;x{-+Jk
z_Z*9MfdQO`pEkr)t|6Xt3DVBBTHxMOmS{vr4=1goe%{O5K=8NlBR`e2;G#$9l~<H>
zp!}@h-lvi+B%m`up*~9!iiDRUYt?AMf2Qja)zCJgf5Re!lSvbn&Q$y2lW1VVZ$h0#
zc@Gg?=^lO)sR8UIf3Ixw(Ln6iQ;UJeDS$rDVXSCN9XcN<$p(I>hNe48554bEf)-}t
zwtQI~)JvcDz!PeiO|LLzSfGOCh`+Cs{}BOqRF~!4fgbE9y)t@|22LD{KOB3V2-F+q
zpN$%+K~B^oW@3o;fLBlL{<09EF)p5z!cGHZ!cu|DWqNqvlXb5%hX7I^^yyDurU72^
z$%Q^eM%WM~@!H`Dpf20UbBKZ#CPqlQ%G*qk?La1Ee8+=fw)x3BFK8h`NMPA#mIXqs
z3Y+S^@X(`Mu2dgL2TyJfoEY3=1B19ng<>pt7%1o`DEvnc1xnu+!*V!a<hIHF_!}J9
zs@Q7z`Z0i=z*~wpt(-t7B^P_n4F}qDkE3F97@_WKisc4BH=Odb4B-&K0WQ@3>z73)
zc>9XFMC&RKMCR<U6g^dg@0A^1IX*1#uYASCZ-W=KRPIMaE2)7|AX44Q%m#h}Q-9)8
z`Jp06n_&l4g_a@rL5E&;$Z<aFe))(X@U52(r+cVEHK&uk<Rk|?=GofYl@bQhjp^@P
zVyeJ;Z#HjsgA*unj-RMJBnq;e<ix016<~FI##kc34H=VXkIxt!0%wbDajkY0P_>v|
zk9X&R--L!>y&7@wd24y`cdH8Q?Ykb$so@1DH|{8hH3@L_<GPpfM+K%<*l7ny{E+I;
z{@{kL6lh!SzR#Ccg&bA7b&gg67-U;<+`TIe-_?EDdvB=%S3vM88X*Ks>J2|n{*!^t
zm3}5ub~R{r5}%?uCIW_cPCA~wAO}lo8(vm*YCzk4N-tPL4Avzdn)J>e@N1ksTi+fB
zi65%%wnfANeK*Z$5u^x0+v#}41I~&&-T3}ZNdkP0v??h7DS<s7r?+4-9)eE^6z7>p
zf@3FPvLI9i5(hsCtezl%*ok(FlU`Er#`50-y(v|o_`{W<LMFmID>RCvN&`c-^z$51
z90bpFosBuJ4unjl7aG+vaFjkyQ}5spZj8pCMz3gqM{)g_;Djt>mwuA$z~Ld0p>NaS
zt0oLv`JXsNClC0_1S`ixJcO85jjF3?1KDeNphi#uW~|Io2T?q9^0UVU6q8_Zvq#lg
zKoL@ZzhK?2!@~%^`VdJ^7d~s2*na(|2p99?tRpk<@LcmIYg3mVEMGXnbMu1|a421F
zq{rjo@BZSqIxhnl_i62NJ+2I-k~Eu~G#p6863ZSeAn<T5%5|np8D!5<nrKI<fsM>^
zu~I3(x-9?h+JG{QwYemAhNwW!$K~{o)`nm$BR$XDstn5VQSp&NO3>cf)#^8Nz%Qzc
z<<-&3ke3-E>K!Q$AEJXk+aD)`^+3&12Zb`oU=2sQ4(>#s8IbqyAsGk_DK1A%lpy$w
z^Ld3?Nl1&qsa@$H!#T6oHl-7aFsB_uwJRYG!<2?d<OCUL=6sn%^%WpA`+{rCoDht1
zlsfVs^fITL%oXc<a&U_r$H}qG3xzX<1`btZFg<iPQ~QZ5%=-^aMV#k^hCn^i)=e_Z
z;0lLtYs-MBI68KHkO^)s_A}7xl0hnRtX{W93Kn(o)J*HtFeuVU9q`)_Fu93yRHg?x
zXIyjD?${1O##-v<ZW@Bbe9d}(yErVy8-L@)mXT4<{0}7}hVX}ePv>ES7~}+a&3fxj
zB0^V*`5vzT`sCv!?U+P>%5tFXZ9_L=6JkoQYYb3#L53yxq98c#HcG5KdXA{o%`HDI
zK_Jq-`6S0aAE@a+kw~DcMURVn+B9?<z<<tmX}%wLAl+Ng=txfo>abR#AG5Cyw}0%C
zj0(8GZ^WeQ^3z^4f&P!;KUIA&4+|1td&dD8B9El?pZ-7z4hi9{Zh8<i&J`TC$_fEC
zx%Ry0f1np~-KiZP>H_xtefm}>6S%l5a6by`MTy}|-z$c7fIeU1$Y)vxaO4*39)&Kn
zN5|}Hx3msqNIu?`kEI2#lR~vj(yi!Z{A}O-izEp3%~lk!rv~+XX)E*db*KxOpx#@f
z4f)qzy^}vj3C}NAFZX1=MlpdG&#VNrAxc7BvF*}6BK}kGZX0?FNps@t>kQO_$z0TV
zF>VL(W5#)qw>}^P9X@|#yEVZMD~~<P@((%m#<Zj9<2S^BbVpx^qzMRCU+A{5fk+iT
z<FPX7L@v^#5F;LGK$Qed>afB(!k=<}*;DlgvZtDPO`byoS_O|wg}+`!C}j771o(y#
z{{%9{%5`<%Jv@fJie5onxfA2p_Qntk($N=H8$_TGcX{$LV;MO?%evvP_8Z~av|w_-
zM1+pi%Cq^umXOrzQMJ=cQwZ%lUXG6WgPtO2vWxRvLRvh=WdgSTAm@rG-~G8j0BB&s
zHU*cEV-&4>8JzP-^G09$gH=4-SE(!`Z7(7rFH9~v<u4)>`naKvFg$!U|7tr<w}jk(
zOaFf4@G{c2B)=ZUfQNOi;~vpEONeIrDS{-$Dq<5M+j%Dw2SxtpI*z6<A!n7CJLTHf
z5REd4fqexW<h))wv(B}Q{Om<}b*eTH$AYu(<0I8zw&<!^bLBF!PnBdh^>qtz3+PUK
z_evG!H)txe!&VTFp(RiHwQZ#2<#W;K1D{{|?w0oA+$tiRH)Hta_#VRHw_~}kpaRPY
zQ{gq2*AUXpTCQdv3Sd+_q9J-w876LW{1Gc%N5mZFZ)!ABLYwW>O|DN$FyL}3A(&+o
z5i&CkG&Z4zrDB$|I~+<7Cg(6ZpT32Z)sk&aj?+NDq(>^dpCX*P`nN~%$Tos`THg|V
zOb2W0lq`2!6@cZpkGrATE>eF4|2Zg`0i-W{mL1ks0P9)zy*kr<g!JrR)4eB5;Q!`^
zmFG)&aOU%B9dDul-?bk(H1jNwGU*!kK~^5vk?$OTIH^GOZBc!OA3LNju9U^Tl!Ny6
zkp3H?)bKiBbDPA?3En)_^~E}J(B1LK{2CQ4uv_?-#-(t9E#;P-YL6_~t3^ytRM3HR
z{m5w{JP%<1ZqQqV9q?e_)>XkI24KVS&d(h1{S#6CbuwNS4&UuHFH2{Fq<c4e8K?PS
zWpKC?TbF^$p-*KZTUel6dadLRjS!^1W=mpkl>t}6clj(`c9?#f@-V_m1V~p#aqJ&u
zz|^uc?*0-7w4EZaJ!=(%H1+38&7Wl8%=B$%dv`8)Qe7s7Vd5Zn*1~<{pf6^#Wg~K%
z++ZA%K^dqa3CxohMni;U;oNVQ2!%3UaO|=OoBb*UKL*2`{UT)Ho8PN9M-%wrdy^0y
zLx2oe9z7X<j9Cu$B1FoG$%2sbFE{7Awj4w*=;2+y$-$Qp=`8LK!eAAX;L0wb0Js-Q
ztf|!p_rJZ<7Q`Y3AqmdK8Z1iiAhRp(%7OwU4H)xo8;L_n%oqPp>?+WV7k<L*tpthp
zmfZHzCE(Su0j41#H3*wY=dr=7z%eQwiQ)}ONOFnxNleATvHn1sc}q3m33R*W?=1}x
z8!5+vlkh;n8*5Q9frF6tD}?Y#8NiIp&o+b-fPalDQqYb7p(<RnFTLep(==%*&YTD@
z?!l#=6(ZQvaGM*=$%CxkAC+^fM6eZ%^02MdIOzZ1_vbwn!7kidP2s#cd~u>93xC#v
zBevy#o12xO?3twgt!L^m`ngO&e~<*%?DgVa@Tx$Y`(2WL)<Hh53Xa(3)C2EBGm3%g
zszA_^*S@H!4i?S9jsunkAU*S1VM;^|e(76>afcHjdE1FM-w+_&U0457ts3NB%nZl*
z5#ZHBk*<!ThEO`=V8_Fb1HWg+CFP8GcxP`OudGJ~{+fNW2`(Ji)27(|_@WAX({!5F
zj7HElVK*1os|E!B__YcKB{+S;Eo|te5eyu?V0H(m2EI{KUx!%bKuxRYj@BV#$b8l^
z$EK|cA2YexH+CiAic{U>+8JY5EDAGSSXBnLB=M>^S}};-Tzk+KYz%fTG6C!XN|1Zq
zEFnFL4{GPco*w$o7~bp5rCC%fK+4n^>Z@k#Ff`s(Br0tTWR33DurWE1H2m;TN`V>*
zd0zMbYchf(xdbtn1sO=~qjQo@Tte(G5v|!=jevMaAfshj3LuRBs5O5o@}MJ<Uu}#G
z9Q?0^bT%YlwjlfR!0A~uzCJ(M?Bs#IMxrCpiNo`EODYQwH__xt#xS`KLx>`?_6%5v
zKnlN!*r`AYOhrM<H|Ve->_s2mldKVdI7X+bBbTYM(5>v}&7S}!kDhvm^W}x`fUl{0
zNwk>7Tm80KZGeEn9*<sYE}+jYGH;rs!z9BSyDBdsaG1X9{{4A2II)%0&Rk57o%dDF
z(+x9#JHM)Q{NFKxUu~V{H7W+|)sUA(WvV`8C3adXZ__{pt{YKgWWc^XE*V~Vr3a!p
z+vXSFP(TG2qf1XeJ*M(gWh;D87p~nO*f4&-g^2ql*ZIfMV+kbQ$k!aYz<2ryS+si@
zF?wQX{aKzKyF2-rdh)mq)L$8A3$UL-K2|^aNd1)#6V&1__evuHTb|&Li_Zp;5fM4I
z6fZi=K>kKs_NX?voNQ0=`&WY~k6p^J5~jmOdzq%D)U~17(5#kGvj+8I$=xvfMT<=`
zer)f$qXlMynH0qyKhSx;di$L^TFf)VbA5496V7(gHnds)La*juxn5sOi@lrfx%~Tt
zCX5di;D3LcLH9KKD`dxMv0LFHjc#=sK+imy8T4iWb^K<WyemP6*{0;l5;ZkoB|*6L
zT;?*$*Ak<IMblyL>z)Zpm#D+CO<$~p{2Kaa^-@&<Gd(8D?2hA6PzRO4f27>Z4V3en
zs6pjBdaU-U`p)bNBD4-l>=G8Y(4dzzNeuA}7#+o;>q9jnP}Q-e1nTafUWFnpA8s;Y
z4-d~O$bTfjpur$7+}K0+q5@PIo-$$g{BN?Qm=mBVT^fJMlLBi!rd)A)nHhW4{bP7?
z2oKzy{<rR?Qer>oE=Qm9VZ{PxqD9RvALRGDXPh<asW6@ao8x=z?3jShuYsSuc(^KG
zuscRigGt$ve-s9AU>@fAQ=K1hpu&4?lG2$Ld+d9M#x8^ti*U6y4>;(RTbV7*(<mKw
z>sDainRG5}=5PZaGdB)m&#5F1>M>w{qM2UlwsK>NR%Ke$ch#WsmE%3(Zbs~o{lgk>
z8D8vv00030{|uLTG}T`hhlym&JkMO$baC(Hn)z-NQoW@jGzcY05fvg7q6{Td5kHY3
zN@P}iPo@;gOodQn$~<Oz{kzvXYwfewKIi#7)tA%CQ`poXSxEc!P&ga9{RrqnlLe5H
z5#vv$I8`A2Zq9Z+%Yg>F+EZ1jLWs5d<Ar#VDulF|m(QQ%M2BKnD|Sr^qo8+X34Prv
zVD&3x!uCBEvK9HUaPOliT8LWwSQMuMw0pFVGeg{{;JC#%-cRD_3#CZV&_x9v&$u11
zkl;mq6$e|&W+hS5^K{1f<0>$vYU}&QlMkh>nUd~HN~6vj4*yHDQvr|n{Y;8O{OCWC
z3O!ys8C2QyWWR5q3LMXT=Dpul5XH0&S;b__qDj}aQ=APdkg<1RNP|-t8GooB-@8W+
zE#+$4SW#6WnrAcoNvjCD<0hx_`z8_bCN1(LG^#?(s{s62z8DJgC{nw>D36v6<pi9f
z)L_*WWq0OCpny`ru=D<kXlW_Q=bbSbxWvPT_Sj1yKDpkJL>6TP4rjV+zmuWujmI?K
zO=)zne=z<_JPG}^{MWN9h63D?(vFjfGU#>j#u%@#DjIH6opZQIh2_sP#+o&<sONl(
zWaWJ|<k2?$#Kc}5lu^D;?;HXB<}o~@dX<c%%ti^AuLhhinu_U`AtL*bw&2~nD5wS^
zu#RFHJl%J+_RvvzG~UM}bi$W{n9--pd|X;E-n?+?%5?=4_UztBeKQ3;*0D`F7p4ub
z>Lq;R!xfPb$(BK5iGretd*ccGx*#P~9q1jZgp>jcR<))m=&J6pTTP)JeBzptJm;j0
zjux;Fb-tn?T|*(t%i{*{N73q4ya);XCtRXP(4Zi7nxtgzj3HdA_!8ZcK|*xh?K)F;
z$SAV9SGG|fpzEsg`}|cB(lE_x+(T7E2A3{m_|609)AYiR^QoZF%8HfNEfP9YF5fR0
zYXmQ8!(NpOB*e5j-}Bc`30=5pxl|}@3^peW-ts4qP<QUhzcIKx0*jjaFYX#cet<&d
z)P^#md*UJ+KTJUMv714|O~#-Vpxw?wQbxYiu?VXzX_VIX&S3A7F@&#m=Ft?D(0$H=
z)dN-%$la`b{M@!Ns4Y=@KCdgFk}y9p=~W@LcPQe}#lOZd9A08VekG53KJ^S--OY!5
znR~va*BC>zTnF1B6Cz5ii7w-n=R{^nWie90#*or$e0}Q^0ja$TeZzEi4^m#>8Q@np
z22V*Xl|pk_bO|C)UMQnO%O#gM9(Egnjmqu;`j65mbwBVJ+b-kg1f4^)YewKU&?5NY
zpcML{=#+c<?F4@5{iSy#CL@U1<4_%1CIC=CufL9h>upP=)_U>GUY?LWPXMgboyNCT
zM3BN>ujh8$x%hZ<Zg-;sfY_RJ!NOS~WWCOHmB;!MHcg8v{_TaqOSG@MdzK&di7HT_
zqzAiHB4(@l)DWh>(p|DG;6<!8U$@qa2e8Jvz%xTN2JkEZxfi5zqtAcm#nrTiFz-?u
znUOht2>X%{U*gS)V)F88xjqhI_o{0RD~S4V@YX(u1`c+#DsjNs<-`!y$&MSvI_SZf
z&qs2#HkeWK<Kt(L_#j5yE9!JJT^CL^1khy~GNFLxm^Sa%eb{olX5#*F9dJHEyT107
z0r8nwC!IXji;X_X_}WU-0aYF8nDShD<ni*7`YpE(Z0NY&k%65(r!Cw%?D=>b--R;N
z)6X_z@66cd$Un6pk;kJm>);0Nc=&vpMeql#E6hheQcnxw(A9m+H`j13lRK@n&6n8B
zaKOpZXPWRR)l!gS&kA0BQ>=ehI2{kA`@nr`mnIZ^yC~MOxQHL@{oyY>S&b*V^F(I3
z(SV(7=OnDTfIIU!KUjp%c%o)s2ImhA_|ZN|dr&invl(S%hkCZ-3Kl8Pq7G|7Imy;4
z^zke{{c=gA_H7Ton<J=dqgEY=|J^9{H=Mzr#Z}}jj`ZPECBJ{`8>&N2USaBm`oDN?
zU_nj{%MebH;+3Mjr-D0A<}K4VQ~2p4tXRzRUwG-X*%91;3NgbIulW`x@m9u6H6a+q
z<J9fGf32ZF-3IfL-2F-1Q}pO|&%_u`uBh@pe2@bFlP5-rUY^7?SGuljWKZH-R0Aft
z9x_N@eQ~=bb`tj)%(E5?n8pRWM1A)=lR<xW`?KcuB!0wXMo_qN7H=}x_X?X+gF8bp
zM5o*-{819`jTZBH{NbK^5B?{n2G{3hL(j(k#mfYw`8Z}4@I;wbr}V?B(DhY#gjg|+
zm-;&R%oQx*p<fp_ltNWtzQk9jm17nkrkCMqf4qX<E&q_vUqb@*<<q<k{j>N!j|Q$o
zPuK89hfi50OeA<Ak>d$1bND;jP~^c+>-bd0EmU$;8CH+$KlbXM$5$Vebnq)|;RKVe
zlCd-;7z;KJUguoIlTF%>=ANNLNjltXjw_0A;FiIaKIbL8{Im*tOdUOPa_X_zcR~@8
z4-d@+|6aytPrgcKJ;Z=!2cfp2OacCv(VN~Bv5Lp{?l;d~VMPD(kSU#v0`M$JdTiML
z!&S~UT{UiELP9DR{VvAJ17p41O#Ar_{5(hGZRRFsWU8HHZN)ARdD-ztLQ=PIW5%17
z{_CtL#>v*+B8mtfF}dNPa5|Kz_ch4Rfdh>z+18H=5Fy&jljZjiJ&IYe^_QaOLXB3J
zug$)c12?;34}~)fh+HZg{q`C+`o!#_WoIS_A+cAIx;7aR?L1DrvYQt@ed%`M&@2H|
zLn|nDADK{j*%z88&WDET-k(>^BEYPBhT)YeW^_16;|*hm0J<%Vt-W<609*a{E9}2n
z(O9OKuz!&dI<LQX@;63+6P+W`-WUh6`EB%>vM7Sa?JoFeDiC14U0hM2lM|I8%gzff
z;^-u^8{cCh0gB#7eRnv{jSd#@L`AYlp%E{OXKscBkSVn~#xTHxqPwovyZK3@;>m>n
z^?L2pFSf26i{wKQgPwlXtg`4XcETyKi2z5MxK$sY6F}~#OZWdOBOr5nkt?Kwa*)yS
zMYQ>}5K6F#boaeWM15yp6^^XR!FQ&O;rzQINHR>xllPJWB0cFk^YaH0sw!KwZ9BwJ
zWXap|pDs#BGmi7e^13_-9Gkf%azqlzK6G4y+axsFWS*bxpa_L>&Eqluq>%IT%iXsB
zsiM;-+w2<omEne#K0~~N43Zyky!pwIjDp==^u(l9z)$Sx8~^XJXgKX#VeB;uy2Caw
zoFAbE=`DK%=^W*dP5%1XQ7<ZDe7#-2qCx?kc&!6&3q-{2<h1{jy*gUScMhogOof_j
zm%h1&E1<%QaS0C<HIM{1Z_ie;2KZbS^;{8BLTVN&aXNJxXgTy0S4^rVcu4uXDI_Z+
z{l9VCBpDhS-;?yVqe&ZzQxsXl8C1~tT?Jz^O&ap^5M`$q)`Pbq-z!e<S4GDcPs*KG
z(m?J<lbH8-8^E@U=T*z&YRKYxmw)C-4WyfHt~b_>!T-L>o+ELQ(S%D_W1gKlYS55o
zzQ|?-3N9%z_D9L+aPgVPa=WO=D0Regl;0Ry$9(@~ULd34v##V=8#3}*-Jiy{Wel9k
z{S`8Y$;j=oV9L3E68b|bbRVuXf#~|72tFn<sxftB{Z^!a_!Ks$1WorrCa3r11z9yD
zAv#cQc%Fa)D2Xj=&-Ou^b)Nj6F%`rqXFAv^E`_A&ryn?@ebD>ns&W4X61w+U_94bE
zgbHjLxZH~O0lsaPXPBdetoxM}ixRm|_b{`(ci=t{FFS>IRV$!@JzgG<1{shMol&u+
z;y&1AZF4lMoQO`D2i86PF^luYt6U@Q^!X#~ugzQr0X1&0W+zR3!1BKCVlC1!0r86)
zLbsx1kaek9+o8faj85m8OjW)yeDC=4nkPsK9V_0NJn(fBqiD9>Y?3erLYFb6lUW@7
zuWMT2P9Ou|6Jcisqm3Zf$&*9eSQydmyHVNO%LI{GM61kgfMblT;R+@EC~TLvD+`GQ
z9)}?-uNwd<ZA7EYi#$j)yW~aZYgX93_Qw0{5C)cI>1ui9d(jf7Hp{IjHn167OY8Y%
z2s{k*?=g86#5jd@k1epl&5Q2>Q|Ar9*q(MzS%?uWNh6tj26pINd7E&J!vO9O?x($F
z+s3U`=$~1CV*_i>O!0T>`j8pJTm7hQ8Na-FwT2^-4Nk|nCsv-<1Eq25TG!w-?rfa2
zX{E{rQKzHLpZ})|aJmT(&mF>DSJfZad|?Ha8lCVLzjPqKP)NPc=_CGt;pO=(A6EG5
zww=mM)`2AH%UY#VHQ3vkBiw}=tdOew-GdmS4P`l!wgn!2SlyKfW*-(-pkq!by0XLl
zrL%+MfwiMpkv#3=<T?x7*-cM(!AJ}I)K|R90;e&`lI(*@PF9Gs+Ip4qQWF$%ncY_#
z=CO$R%U9CPSb?=9PH0?E6G#kFjn|l#v3OjGt0a>Zs&0M#JQhKNrU|Q!Q1&&9m1<cR
zt;_~Wk~Jl_cGF<{sSUsV=sHF(|5rBnI~!Ero~Q^4(SUZvp9?Z+TiChd!Fi~N9jyLD
z1Wzz)K;J~>cyKx$Q2JWmxs`K3z`wyy#gEm&IYGR>WQHExTmLFljPHdcADQ_vX?1`i
zckY||3^4i8QTi5v3yzYS_)<!#FmUn1Nr++u7uC$&pC`G%aD>ru@hBDGYsWkD(cSR<
zNqA&x6F0mG937IJqd?AG4~MXWd*FG5Q2B5j4;=Nn5oMo90g=*_)*8eNjZb8Xp7!!W
z>-gI$hJ6&s4G7_UdVm$)`AKN^?cs-ggVTSnu8?70;U1;1aW)9`kw+cJ1>j{~U5nsb
zGPpU0exJ_ZfI`CzwW2CPn5h*^iMURN;8@2^VSi2-tI$Y%WhxARs&X4WFfvrWVkt?f
z<bq=_qXU1<hyb7Zc-ehkGGHAxr!_xu1A}gbz^O_x;EZOw=>AI${55MSCnkAdcJ!h5
z&nyWzNlpq}FHwUCyX<Cr89tyFQ%zX3lLC%Q6c?uFYEThf?w{$-58Vr8bX8u`u;70t
zSUFn_R6ni0vgj0mJy?m1Z;A|X*#~c)Xi|gv6w7wZQV7U7u|Kc&$U<se!-X@<WOyt4
z#8vf=Fg(pr-##TJ2Lg>(qpuo}A*q&{?3f@5tq-{sPuwIzMwhnc`+H>IO*k!9a8?{r
zwl+>BcgutPS;s)_Q8I``Y@IxYNdldp-jM(UMX(K$%ldYP0yT|&^yibM;N}M*E#)jF
z@DJoU6+A<MH*2e5R?nqDs6OaJG%E?H{01yz&!})F<bMZh-^c*p@y$wICl&CSzN6@H
zQ5~FUf8JQv$%0I%)7>-Ks-S+IE3o>A1~hq(JZJ4Az%nke*xsxLvRCLWIjm_=E1@eS
zu^<PUpLq$S^JECob@#RN)dV7O`QP5%@~~;pJHFIF2ElM|m+NI(5am#@k;bk7oeojA
z-Z1a<9VA#^%&r4;h1b;<85AM#*PDPS*_}EACHIGyE|k_vI_3XXgzwtv@4|T~pr>Z>
zeb1;Ks63MG)y`1@!`(@5hTF(Mmv^eF+s**U4a0Wa=E@)@u&+Mbo($p9%2h>;h7f<0
z?xj+-GK`)Qd7<T_27a9>vafgm4n^z<JF%Mt@&g6uRy$OH$=JY0w+MjueaLK@FbNU_
zXZzUtcg{_;9MLf{0?e&WwQ^M%YUhS6ucRx&?Y>Uer{zXa^ZJ*VM7lD(*O2Cj*OZ6H
zb~zrl0><FuS6xaIR0glSTV@>j1lV=R!Qs7)F*FEE4edLn1lMS_<L%-y;M#Dd?R20q
z6#K3dG`ti+D%En;UtJRZ+hTAMjW7m^+xP>$3kq=e7!|j57J*b3&u4#c8-t+Q)f``K
zd64=cBO)=&4{dBFkZ5NN)1L(*gBRuCZS{k};oscwU^yVdj$jPxWjwdm(g;8|T2S2i
zoE-xHzTnLp*x~Q!mqEq-vLIpM%M<6x1p152a#N8;aKrwHd*dHzc;#{KqL?l{3?FLG
z#;8VcEr<5vU9=Q1Iume*?`s%SmRq-T+s@o-eNWN_NI+NO2yidXW6d6+v?4cv&#rqD
z4cA1$^xpou3(Aw2(=(-LMkav5)%FFKcwsoQ`tsYb<S&eM|5xcW0}Pa$Is4YF1wqHp
zF@nGOJ7&b*wrJ~N2zM2VyvBeZ9+-ANv)R{yU83@Ne9Sa}h0Ft#rW3p%?&-eQdaDKV
ztI8?)H=qwMznw22#Bzg8|2?k<pFU%y1|tI*V*2pdY<^LCg%i3tbgqzwny__#lW9eJ
zJ<v>3PF)h_06&76&J{{4rs??QDxRea1O74Vk0V&YaA`{Hbz=wCbhp37b3q5Ju~r*y
zb7r8r<&(!<da(>~oo~APb)b{3;WzI=Ch$~D^rm+9V-0I1E8EH1KxS>0pnt>&KLsDx
z$o?I|1ew^Y(pR*Afr;v)#=`)sGVe~ES02G~!%IBqY_!0vY1@Ihg&r6R3IuBt$FNtY
zZm}=F*97iIZM?GY>43*qWYt%33X7&)mU1L&g0a&~PC@B5rt>k2c;Uwk=6Bg?K`xF4
zPbO#Q(++Q8m*&WXlCC+-<^E?GA`=bPv-;eGH8-(u8nZ_0%?p_9fXae}zXrq(n7e+v
zw1Fx8{JY-RxrD_NVs8X3t3!KR)-%Un>)3vNBTti=70kJ#KdJP(I(#KI(f*~ZV<F0U
zriUf}VG>?HOox`K;2)AXlNG;?J@b|N<?6D5&DpZMuliFVA&g~(^l=?i{O{`H*I%|U
zro&N(SDC1At$t4!GkF91>;6ysSRNhFE$QSB#Ze%$t)l1RmkmtC`>w*vUAsVf<fmOF
zkpc=FN&|%Fo0z<%d@HX91Bhu3=0?3I!;gvkx_I^$HnfrbHE@{`UV9YlUa=;F0`+>l
z_3$><b0l_)^C=T>gv6%(8dHNzj*d_5Ido90hPcH~F+<?1o?kvHYVh-tZh3$oJro45
zzt#j+Fn;sHZRVCLJmGjQChfWlh(-Ur35VFBG5+bRw{0pg9WMBB;RXYkh9qQ+-rWlv
z>9QQ=R287@4*7mFjS>EqKPa=i&IL;u7XLe*LV`}yY8&^--7wTw=C+NvL87WIC7G85
zuQXcyMr`(gjI(Ngfg&%==p_eoCn$sA=kIYclgwbLbuF>IfDeR6n3B5Wlwm$vk2n7X
zD_nn;720JZ04-F1FQ`)j3(Z=+1L5qTfEj*MAqatemVn}<rxH}L39O7g*$Z65pK|u`
zi-1<%C|`xT5-dKq_v?1!g7RIj_ncQ1gY(pb`-Yj7VDNTT+ISW>kg#UyXV)Yk`KXZJ
z)}kWp#DSpW8$2L3ez@a^hZK~qCLQ8hR|LA1>j}kI`QSdCSCd7xGz_r>KX@pi1h<A`
zE1zuh!?e>Q>WqvmxN5YGTys)_pSp}Sjs=2nN;XVwB!vLMGarS?Uz9-GvB8{rR~RmH
zR&`3M5@F1Y#j@T>8LD4%Kd!kU3IY0N*RtE>A?Ndr+)PCh*hi^{8byf1-}i$-r$QB>
zwdU*3Y&jLko^IVMQ6mZ8ou)s&-lq(amwZV5XH?-YH&dT8yEL#dZ*tqQsDQaB{ZGqY
zH8}sjVxj$}GSJS*T`tw63ZKMMoo!mkKuh{~J0wyTyf@<O8+P(XYu(%9!<`g(%fR|t
zXortIvXM?x>^pmTOBq}l)giA_J9m;ygmXO)dwuIEAXfXO>gs6?h|?4PSQ9D_tkXXE
z6X$l`1M@ZiZ$D@N6@`wJP6b%L@n_fGZYsQ3{pAuFs09|qhnb%9?QlJss(4>i9cFE%
z3)YQvVB+WI^P7gs01qd6q7>AD^?B2Q2@yT$-F4LRlsO45W#d=hEm6UY$zQ~ATOZVi
z4nNCNP=N>aE;alCRN(D?qP9I`2q$O%d9Ze?K&<YR{WMO2;?w@8zSshI9-_<QFjs{S
zLv+KjRb=o;e_BP}`TswyTaf0xRpEJ^?`PV&Ds=2MOSwO91Q&0c*?@y8Xu1!6G~y>g
zz~IUT#2G{PQ4?viU8->6+`1*>hyoljnxI|eF@YfwUJKjPJ98JGveJAY2jzSY<?^mO
z9(1C#8+no71J50=$8s{TYN~x?Imra3PRsXRI-(4$Oowh3<%vVGz`IS4EE8b;70-EW
zRS}LS#HYS>6$B24FDrD9OrSUT<Y0%70^~fBb&4+Fh65ZzNtUNg0JC`LJ-XxZoeVO?
z$H^?<n$U8vg3AQ{P&@}+NpcV=dax(#EFCZo&&R!fyW?4d&wUcF%YuEXjCSha9Jbl~
zU)OOnV+hfEs2Ncu4Y|V>=Aj?Dv9JqSmoz(!;QTqA=d7GkpsM9fj*)7`t8TqW6}K~j
zlsP+t`T;R;H8H)XEb<4}3^qE&^b=rQkgmF;K^O!R|Itk=&fzT0v<a2-0HK`E2g&^c
zKyWT#lviHD#f3boPjqAOsz<BVj>reCgJ&;&`L=?OK_fl)gdtpv7t$?z!438uK`wPZ
zYk1Ai9<xqHL$KDq!}zOkFKDi31X!5-!(Zrk=bFeHK;IE_=a(U@khK38%RRS$_=LA-
zc$}p^d_5RGs9((lLPt6NWl8?S^Gh7Y3xo9_05e;Qwq*eQ_<n1zpf$XboV{REr3-GP
zs=~WR>A<sVX@U9GD*imcH%?_s2R8k7pL(Iaj!8dc&?~7}!AYi9+Z%WIsL<K_99`b=
zqXXxNU*0X_MRB#Xnpka6N%d!$Q=Z2TK6>;!5G~=Sob4h@{%Apt^=Z;Z*A#XpfOsan
zeG#{=au77#@v?J|J{VeRj$&Vyjnn$q7I2<piYt<7n(+OC!H<%&gV=g~_Zvg~1)MKW
z`^GARCbUzfGo-I{W5Vn+x8J19<F`*1rbW5Y!0sVIYd!fh7Iav>W=Lut9}et~%KWAQ
zB&n5vT|LFvZw`^H$d7Y)i`ME@j)NL7@#l?3G*24-cjSvx$>TZPoi{A!2~vlGcUf*S
z>j-DL{AYaP?i^mHm%SvZs}8QYN(ESXGoBxZ-@N%`4zJi&%?>J~!eny%h}^pld?}K=
zc(-E?*I2gR^-P-z*AZczucQ}$<XHAvUt=Eckm%XDGX?0X7CUAf`tekO!KR7Id0hF)
zq1-3?Dc~}mH~(pJ5U&f8Y-ey;z@^?a+8)};#SzylZ`1St!j*4%Pz?1K@u#jdR{L{g
zAird(>!OX|{6#Omr)V$XXO3_4-5F7X{R-MnJ=TBl&5G2-z_ZKvp^ZKF8o1Pelh`7}
z6Eu#O9(d56{$>TA9UFb&W2_26wXw`96_a?r=s7E@>KcAF^~&9_TPiSMTJ+#P%QRl}
zS;4cp?;rl3(zPe!<s_I<L*``tS$s2Tb?QO&2Hwrx7xQdW8IEWW9o_HE;p0Lb6RbU3
zxU$ZaMb=J^w{Fm?l>9S~-!b}jUpJl()s?$*3nVFlmB?L-1&2la{aF{f+5vjRA*7_n
zG_MGCK?kPa|69T(^hf=hEErG<Ce@U3R1wlE<(~SNtl$jfnd`^<7*RR93x&5-0bGL_
zvC9c-xZ$ectHJ~(l=|^NT)vC~Y+E0@#+1H}Pl)~(^5ix%dOE^<rX@ih${$X>6z$){
zOU(rah2vQfb8H}Slt&(P*Iy-EBGRG%w)9kThuD#iK|^3vA`$duancz-depBbEG*-~
zi4rR`p8ClVf&NESl=JK^w9aeG`%{1$MbcX6W2@wVm>j`{hchC#H@=A+&v=l7(N@aX
zIXSTTCz3p1#)Pyu`ScP^`OpdGQu-DyIba#xx_O(zjF#{FHYW=Upq9QktDY|esE%SZ
zjyu4L7=5;PTL}rFpC_XK%snH({t=938^?}{yepsYHWfkdPF(bMxlMrbdbv6s0ZvrU
z{`SvcrWguJ9igsz62QMBB;(IG7pj(HxHP6Ki3a60i9<mIXtC-I9(CbCM@}n84KPR}
zstHH(YAykSB9@vxS^3br%X%0&Oa^7W5b}JtM1YKKeV_JLek7|O$2})cK!tHe!)Kl4
z;N<2yr$n_NdilV)>feYQlIu%Q>fc2K$@`+&;+?{%SMon)O(c(=_=P0>Ya>FjT`Zj_
zpBP%e?XwRQD<Y4U-0ucI<biko@$T#Z31l6)zg4SR8QD0ErF9Y&;lb&H0Xg@jP+*^)
z`dp6+y7%&c=;<mY5Dg4*lpm8u6QM_c_OGg;Kh2rtce6>5NB!)@W-E(6vDp?Bvr<rR
zva+hrUsagtZ=3M`MnHp1lN3u%DjJZq{KnNphEw+%$_*|M(T9Tr?-}UT5!-ayd8Xr3
z$Y~<`WiHDjo^#ji+d9=zW>1kg52pr*8}3duy{CwRmaL`^2WX&L#Z;2`CJmaoixO5?
zl~JDu`Lg<~2I|Vs%xV<WhV)1c;)pK^Ssgw6@Ps%GRreRRv{~uGyRc-3fd&;6$)y-R
zwx)r;bg9PGywnH2(Y$Lvf2*Q6`tnkN+ZrgpYOYCQ7Y3v$t9yM7YG~w2*HUD<I=WM%
z|5hXuU_Ga+`5c*yLMKO;+AdR(sxa??wh|-wKL7v#|Njh^cRbbKAII&zXZF6AdtLXs
z_WZmr@->oZ8=+-nkCdcRDl;OXP^gfMGK%#1km6^DC`DGtNJzNW&%ft!{y67-Ugz<A
zzNB)?5X(apjMeR2>c$8K3kjtZQVY!>XuYbd#Fm0##>g)w1r03srK*2+usQ6F%bt=H
zrC=2g_>vT*2^j0YxZEjT3&1xf(i2XSG0Uz<1EEnBOt$^&KHPZ=__bvrCTppICEvc3
zu#lsG1#6gBtruIsmOXhpbXXnJ;2t0(FiBw}N`y}iWfl<o-j<13pNN&))cI;06UMH!
zrE50awtzsP$lM)wHEh_Kd;a@R4s5%#u0Fxk0yKv+77;Hzc5x{%Q@(i}Wxd&!T>8Zv
zLhG+-kz7<TmX={&2c~{>r9&-s{e(Hl(+LtQ)=HRh>Y>Sg?MbBXO*7BMFT3~68#CE4
zR>0!-YhBv0SwsA+x66fX&0y_TjkfJ&S?pNRa(lBLBgDT`%JHeA!72TMaGMfIOyb^b
zS1_Fgp5I{qG@(v|u?Ix%AVG1g15Zmj`Gg(3B6x;AKL!ZZAE9Kt62^|D)^&3Ea{_vy
zNxVV|05wB3uBQuNn=Tg;gk!is>%V_Ymvs?%SMk|?@H{uh@~5U$LzEkek9xnqM>7Ss
z+#bBLIUDBFM5TN*;|6+C>{#wG6Yym#oH(4wh=sWtcWA3~!=Urlb^Ik`c=|d!;!HLj
zy_y`7W;eqHUD00iR|<__Uy4Zu>-G|Qr6%VBM+z5E+o{46KMWzs=)QOAp=s1tbnKNr
zg$pJm`;`;q4Pj&bKnk<*7gUMx?}Kq4C)5bM{Zi{~0Mm(P{*mJO=n5N?U+zs#V9u`Z
zZK~CWmYn|0j~btlah<b2p6urY^`>op5n+Ac`X$#@>@kX1{hqzns>ul=VUsUagY|&h
zjz=9m@C!LH*GN~^=7i6EUtKc>bfKg`PJG+!4^nXd`hkXHobZd@S;=Fr3%;TUCasc}
z5ww55(DY+YcsHn;L95gO{YO@Z>vR4guNEZYj|+0a!l3j?W}*)8hN$+vzqF3nOl^%^
zF64rZFt%f)XWFpO>(JSHtxY6j+ov<$iyNK`M)?$~Y6I^U(`m7uZ6xg3bMI%4JTMk4
z@8DCW1&JeF4yEM`5E%bmo9@XA;t8>AVMbcOBV+U7`3fW4KR+1$p@<J^ip~`Dw^KpJ
zx6miqm>I6-7Yx+!2!NfMYj)8oDtOmjyqgot0<2YUdM&>Tz^gVcM^OeU^z?Q&e;r|k
z%i>nOAx(mCCDM0$f1W11P|s}<v}A{vGgr=;d=!G}H_cmFHk#ns^6Tu}TMn3=;|s4F
z69#W4w^RGqDbSj6mjAaE7aTgVcUDSD6khvkO?H=3;2Pes{OUY6tjf=XWe1AE>ndiM
z+;bFwZhYn13tkZUS($KaLL7oSTv+WW6bLB0S#v*;A7&-p!sRYVKmh)2hTsMnY}N#=
zJ~j)$#tXi;nd(wdcgyvzQ6U*}qAi6kd=rFCnH$>d%rYQ;DMfa{n+($VI1@K!VW>lb
zmW?-MVQegA)Y^;;tbS3Ce}V{fT=HUZPLPMyk(P5+T4d<x4vRf@PZXXm*o)|uD8LQD
z9-mntLrF}e>JXzikjn!UoQ4#^C~^4JsxKK(E+K!9TYEsE3c=B3mErW5`+{yA88-9G
z%WvZ(A-H?uPhEft)aIX5EflAKHBqi6^@kJ$C|C&H>A-<gun#%yECozA_V$^-l!41x
zLFAh{s=(^&sC%ZJ0$u(r%dfNLAdh(8@kPEGM62j?D%om6KU-d;O1C_;6aF!d3K5|$
zzH|27geL6i=C3XLrU1Rox7~{))dAkbB1>6R$mn`rowJ|_R~;l=a9>HVgEHp|2WY{L
zsibZY=kB>5p$$8-WC)Pl?=$A14f0g6Yrj=gz^x&<yHSAxUUy$B*o5f7SuPn@2^tQ(
z`0faVW>cV{DrrhSPZx+*$~Njp@SwXAded=}0zTd4OjEOZpw&Okl<%erIV^X0MD;a6
zuGMY*&OQV9^hZ(U@KH5*_4Nt#@8(H4AcW@r&JdiR?c;l*O91Bhhpg#jO(^qTubee7
zhSb|H)SLbhAVV~y<HHyQ28X;?kZKcfz|9(Rrx4+hUdYGJlN7iq$K6L$L*SEr@?no1
zB81b2F0Q+ifw0G`Ue*F2+7pOH#_Eu}rq&RULjtD%eaN$)0I=2czN5NV9fZc_$!oDh
z;3Bifx(CwWuR!qGAu)B3sBK8)(N+Vk(a(~{CTL(F`~3H-3L;dvtvrY*$3eC&fydLt
z3{s9BU%Mwxgv<!mz+Mq$5Fb1)BN1T+fgWdM4(ua9HsLYntMdwAbV{w>Ez1mC230K%
z99Dy6Mp7)&Cj(dhEc%_#HG_Z<x{0NMDs)@4{ujz10kOZ-R-eV2fmzIvUoUrXP<!Kk
zZbO0y5Xi173@6P%(DKo~ka88+HeGIg7B2uC$NBtLRm>plPziSMpfXJT^)4s#b3tZI
zn1k{+8iZF%kt%odutw*`3fNh|NM>=7euD<@y9}ev5)^>#6Q!u*-xk8tHa?w$qd}Er
z=dX4Rc}O@D8c_Ut1z|lm^`*HHKzS_8|Ilk0V0b?qbK>}KB)$BMeYG<{nX9|E4@C+F
z1!ELT{+mFMJvv@KlL+W{urj@9+XGa-$jtJJuSgmBtnGiI2#8NF6Eu^=07<2FyeaBL
zs-N<Rv0IwLqtk2)*CRy0ZM}C#|8fKJAmdMuaD)j+WjxQBND+b=?Gw+h30EPB3_O#r
zFO30a^}DY034nFPcrTxM1#(;EgV@CdBj{i%_qM;z2bK>K90H@NkOqUxwpE%&uyO5$
z9e+7DR9@zr@ngl1u6~nT>P16{yx@c66FI@j*Hz;D+h(M**p_?og8^8azjvo~kqub>
zm#-c7tQ+yKRv>*BHvla2sov-o3y>bT%AZy0M^4?a`qb;M4-6NF@S?WN;A7je!m9io
zk@1O`uV~eS|FuTEOYUQYYi(R%+2*4Nt7FWQ{X{(&qqEjOxW@ou;{7=1tO-PHE#OCV
zvM%)9AJX;`-a(vB>fbTpn@0Y+`t+#Lbs*t<8YdjzLQcAn8qlm+#I60zgo2k2xCg~%
z{QbLuFtuMgg_tfNkBkyU?FO|$O6uF=&>wVU{+q$=cae*T4a*=t<$yNOa07jTLUcq~
z{}7Vtxs2#9<mV5xYJr=&i?Q47b)<Lys>!g&3i3{Dsf*WI3oNt-$|8){5d|^3{pb8w
z5g&c}3*|N{Jd?2tMG5Q3Ub9WpSIO&0Qk^W5paT^eRK74x+OH$7G@<{B+c%JgY3HD}
zK}~q%=v3=cw2rt({HOC8w~chaXMcUbOB0mF3-{1;=ty37dE<Zs1AOGF*?PRo7n!Ul
z%g2`J$TY8}#pwb@;4f*g{*Xig!@qyHc}6x6$NI(jE?#CZSmu-dh^Ii3!4drv+ndNa
z%<rvK3JWCu*WltCONLYI3l1}O+X(+&YG0%#8^jhmespQmfQlza{tk8RAev^b=_i)h
zA%ly#J6BW#d^v<UHyRn>x<mKk>49C}AT6lGdyzn<<Ee`28%9tm<cjm3;D+N}?riZ*
z>d>U#7NFS91c5gzjMHWKAWM`>21ihbxgO1HN4A(j^<!aOrnvy{rZw_1Wf9@ah)PcT
zepV<ARX#d*R}g#>W<E@d5P@_4TjiTZHn18~O2qF7LB|BXr1Jp*Lcev7q&jl|-MRWu
zbDRj&cC0sjB@=-6nv<Y_G#4B-{CxVDz8Fa7WDa}xsDaOB*%4WG9uTo$BKdRefxcV&
zI~8Ko;D?f-?t~m4BqWF*Ok<XW`S)eDi`Ht8Zs#vMs4W0ghNC`)IB5{8i$0>Lqy{Ob
zMZXwA1)<A~=U_&tEUcWQwYdwcfy+0HPqj-3ZXVfNWpP0s0$VBHTV>RMCgY{UYb658
zFLU%uI~1U)?ZIXGUN!K)z+>bzA_`4hstc`#N^nbeq?|ul4GOP{=_O~1!*zpZf&;1y
zUJE)?)eHo<c<iqET&M)xwC8$c<b;D0+MmMIvI%gkqIJk3L<(e8sKjK>UC!v3d{jP1
z1aaKG_rqy2F#k0Yk!e+fGf`{5djr+szY6g%{jYMM`)WCse4hv}&YgF8T1f(0i2~<Y
zIR$vocjJ_~4++#4>s)zF$iPvXr*zsw5%}{TJ$h|Oh97?q@$%lLK-`zNW*+5Az}L&0
z`oAa&NE~*Nxs<614eJjhwK!Fv;Rr4BxuYh`G|n()^-)1==JAJgPaNdYynML?sbHxa
zJ-T6_4X*a)cKjdlAiw9p+wbL6kk`|(h;Gq=I~oEFgS+z!!Y^~XscJ#PTH5ePq#mg9
zU20uBOMshcHcOBFw4nP7@vMe}0W9~VpE#I7gs=&7Lx*rJu>Sib^MSDucpvWi%Uh@p
z+F6Nq#U@%%>rcJzt7QV*#uGi;@gy*?PY#K#qrzz}Im!Ka1P)y1z}XvWz>Y+W;n@XE
z==*2G%X0&O?~|UTZm|YLSv*nX{Z4`3rq8fTCuzX!5%;gIPXoqf6H{9S$*`>X7nX2l
zpg8JD^Q_W<Ym6OHz^o29hieS?Tg{+Ta^B*djRw$IBm;7aRUy1~W!lHe9Qw*^&Rk6=
zLHYgyk2N(F7_-uysLwWsZj%k~JK5?G^3x%Oy+8qin})^?x0-{>?fDaNo<umN>Ju;%
zBn@XZGz87N&4Kap&}+iB8r(ke(=C==4795qjRRhpgGl9-YnOdh;pIukId4q?@R52I
zz<kjhUVpP7iN3>u*rLzXk3wu<Y0V=29%l}w6}4yWwv|EC%w{pkkB;z&yq*ki+~s?5
zM#@V)C18H0+O=ggg>3USmtJu&gN&Ft^j?Spz)g<jZ}tz+fOn}O*T2x9<A?k42O)AG
zEm*VQIW~?8_PzUj$e9MR#Jl6B3eqt9l`!CJu!y#Ni1(fO4#3)fV<TaG4;&R*ZIrqH
z4}Dm0ODV_=;HwjVzcRBJ<i@So2RhTyhS|&IJuL`0*s3Wgn+XHb%qf@Jvx#<f9C@Dn
z)f8re<Icst7J$gj&pkJ2+h{fW1s&>=3209JeoE=!0saAsUB|>Wy2*{3qY9hAZ`ZEr
zz;q7i54@zK|7ROz<C3r}Fg6BfZQtH|EiACQ8d^)dvyI9>LR=5}8^QkyXzkOkj6i5T
zwB+=23;h=_tnl-hAqaPyU-iq~M5v_r%qRR?sB|5R_sp~b9G9iYo+GUyg&(SjY$}^*
z-Cgzgd5Qt-+Yyy2I<kaRWbn^M=xw0l>dmZ|uINMb<vX`##ODzF{%aM(hv=wdW??F>
zPY;|tBT9NACy=zdknQKU*3rn)^2S6BJ!qUsF{qCEhA=YL*cJ|~p?ts7$B!lHg4pt-
zCnUixBxv>bXt>Q9Dm-;*$#7W*_Aonnb|$|<`kL-PlA2gWYx|mh{c+KO;N1i_g}+3P
zd5Cv7JzGWBM1HqJn>Kg{E>yc8Y(;;eQ-)IMtEhq*K4;BD8;+Yk$v-gFhhFgBR4T4m
zMdy+<PRv(ofnVu+z0!?usNqA6`BnNVDo+birIWQljUoA(p~Wald8;$o61;|rTgHX%
zlv3fZLvtDR$OM|O{%Pd9#5(Fy^YH4JCKYOuzO8oArqJrPj~4uk>!`R$+eE@^O}L-b
zlS>z#L1$H!1cTP;sQ<y>{c~oTaQD&$w+CP5P@|%^94E9l(eYJ#kEL!3{O_%O(fh0g
zl<lzZo}~OO^j_=Y+q7L@zSJ9?;zM0Tuf2cyRmpk><uF>d$yy-8XC!I);G-q<#m->Z
z_f!U~qxWpCmI4{pZU+|)Nc}~_MJ%1QA2VWX8HV{A$2FinS?zIB(F&S#%bCTmlL@03
zUJYT+BEfYc;}^#Lt0+@g>wLZp3+6?a%<~#mhv%0UTx)sP(eOOZN{bX$tYxZc&rymx
zcydMDIWSL0xp-QddDPjl)yDf?+_#9ZM=;@5#NsAOpXzwSx5$Cv>cY}L|0KYbh0-Po
zxgAuWVR5-~oC~|~b3R<!jsQ(OUhDbw3|Rm9D;e+Ed9hXP=o*iDH5jT!T`O3bFeUG8
z+2bDk7%AN&%TiAb2%}Zn@jlF0<Fa((dAa~LNeU@QsZ)i0zuRtUEwEtqx*Hl#PYGeh
z-Z2I`wyMxm{`tqZbT*8q{YhQRZ(;0V^{CU)DLnLl^SL*5ngg5icI8gU5yhm3U2~jL
z@F1w$aAwYh3+p&m@~JXR9CK8B9X4%)2R44c%JOI)jH6xrm_WD$<~Hu$y(x-^Mo-U|
zxIsP)$9T!e{fQJ7J5s{E{1*o`%@eOGUI}1JMOL1s%(7V8%uU9$861QVZxOA;g|PAX
z+IyF*<uT%i$WCQC4shuf{Ii+DSe&PM81cCRcD2DNJq(Wrt+_&hToX}Dr0>;UZM+i3
zZn7h>a2^j~O+$eeEaKStl>Y{j>y<Hg_kaW0^LUuZ=_OxU*n`FA7L7;x;jsH7a_-tG
zsvvM^t2v563X2z>TGZB2#k}l1|KssegLbLnomD*<EJ~=*pjeQAdEOw=_%0HF#~>&E
z{XIEMYM~{KxJ|^iWR9mLwh=*3_VdXjJPKG7@4>HZe@R$-r?MW4CkZgM+irYrikNAv
zwTIda8Iubyo+@_S?e*8S`hH+a*Z?6c^UMqdE6Y+n9^6WSGY;&rcQsTn$Je)*9`tBp
zv!hpJj3svc^N?3mMLrJ8P*!gJQ9#86uV~n|rE7uVxs}yZlB$?y%B2;~qgogXJ~zq5
zOa~U#Zg?GuSHsHdA20qJ(!w4;VwkJmqX%L5@ay&S1g!TLcMwrS8xt-+N6!{EfK08G
zkSINM%zeY}cAc>{c7INH*-y;~e)l@H$GDQP&(`|)gBY|iZJpFORyz}@N-{TeJfwjI
zA9f*%hiGB%4s_j+_eX&9<PdMU02x!NVhJd{OU0VQY9^)Y0W>Qv&)&aH#+X-Q7M)LO
zVwcDQ*VapEyWT6&AYMtv44qB<u6`zCJyf1|{@2amLg<l3<s>q8jxKXSHAEddKfe94
zjA{-Q#&Zr@qGXKeIIfblK^2n<94#l+m_x{a_E8sXH87VE=jiT9WvuCqMV%s_1(3-4
zF3q|mtn{TLTgvYH%qUGb*63M4cRD!mj}Woxrjv}3FC;P7iI*mrt_5t6`#Mq_37D`^
zW>@e>VXQfDMOIC~0uqVVVvAX-Sluu#YOgFe*7Y&7k+REi{WLj6<BvG(XzupXQ8Nb2
zeZ0Ru_nbL&-jin%8&$?SWdv!}lsWX^Q=R*g8)gs{I9AQGs))&#4}~X(Rv?n}$v=5f
zW}r4y_zW+kfSuHH9TT`ZgYX%h8QZr(gPxu1Ye&OmF^)fXq~4VOLkhxm`W3@ypnM{g
zPv*BI#%80kN9n^B^593@8TADK0X5+o{tR&}B1p>8%AXM&oUd8OpWEf~LvHl)MG>rx
zGdJz78Z-QKHx#!VK;RE|*U_DOg4mbLXRZCFEI^Mf6uCKK3i7L^Qs0JnF?E@rcV70g
zK%v>{a@Mj5xUEFgm#}kU{X$yuX&kH&Z@O(%Az%U=Dm+`APgt-^!rw(Z)>y!B0CMi?
z8H3dKS>ueC3|P#;q<g<>S%A}VNVwC}2nqsOJQwZgs7~wAPFoKa;D7tEs_&5@q!tjc
z^_6ARDq>D3p3V$}zghvjV+OF@^0>1<V-8*KoO!5wml*_3RuzsC3_!9<zf9%o7+UaN
z_k@KeGl)r;cQi%l!_j<M|LZ$Fs8g0gT=Fmzn2280(f_pTpL1PC$Gx7Rh*hq>buJUg
zMKF}Mlk{NtW78?t`Hx7heH_j<oC&PiUq>nK_SPc@{>Q-W`2~6XOFuHun+XVvhcl*E
zb>J^iGI2lO7&141ce!VGKPowO?AvJ_uqqV$RCHzvk=~&EU@BmO`I$uO`+jZc4!&bh
z<}iokz1yFvy}$%><eiftcG^(9+5Xxl^bgX`7M*p*i5bKnI}Wt8XhA^!gCMWmCB*DU
z>~_Q?Gvt2DvnjID0%i4Jq3l<Gku>A9=HqEBFpXz^%G5yxtMZdc58wPl&f%k8&`-0%
zGOj4U^)MCoibS5c_+||;{&=zb;&C=;Oa4{4J*Ej2iu^-$wRD8;*si7&!VY$W+iC@&
znvgVd^XkQ>O@udllNR}k142!IXSHx?g6yfmsB=TxNCG+NzU^*5GnM(C68(e%p~le&
z(@h3&SiicRUB(UTr$a6*Sy15e(4E_6&l#cqWVAwS056<4xR`#chYV8ehR1G=GC`1t
zk5aH3KWGTbQ(aZaaJZ~EZji_V!ByUm8ZZGk{ADL+DOv;GS{JlgCbB{$s-K)WCkW9A
zjvrTMNpM#duQtrV4lOk$YFpaEAh7uKiJ=DxdY!foqmMZtKdArdhX*2n7H%mtjH^RF
zzS>E`nG4L*^8&^c#b6{fr?f6q9R~1uCrJ7{kZA83YTqsnMFZh&>7wc&{OpbReq%mp
zj`#S=o+SZ`c`1&JEkwYr)Z+bh1mM)quz$;mQefd~ba5q-2<$iVMsrUI0<nKN{8Nz(
zv=RjE8oi0|I}m&8S1bf_?Wm#1f*j~L`Phn{Aj1EwUG$^4MSxPOi*q9@!1?;4;mrO-
zxSepP#QnA?B#hlINsm+nUeR(U!E7SvWX}GIR1^n036JUdVI|1;k*cG+K!m4xznZoN
z_rRMVIpw&+D&VDXy!MBeI+#AqD5-iW38jVOVr|1X@DEn*nc^eC$mz}S%_3<)ID%Ql
zE~rA-3JVf5NdnLE_f0XFEO6&|*JQ~Mpx5*CU*d`e9Gtc8y&oYDcX|KAL|Tb3Zv5{G
zNuB~<Qv|tx<|#mDa`v;t^CZx-x$RRlNde;kF$doPMYs`DK)_3qfi`&h!_jU{2#l(!
zE)-RU#CN_-n};YcG|VozG)x7y*Oa|vClyer{1knIM-$|n(-Likwc$!baYouB9FRr0
zB4{O=&=tq9zT~R|^cAAN%Qzk+bXyPct5e}&?nAfEU%F5dW=dO^QiB%OMum{;RG4<a
zdAyC$hbL3P8DnMysQlbzk1wXe#8-K9TSG(OxE#ROVowBPYQFZT3@U7gL@i`)8^NAI
zdFG!6>QM2Nq|jqc1>;cfyzpidC=H`bhOVi@vK9T7RIMf?UqqsNZXr;b#pY>todl8-
z$Au?;QK0G7Y5n>P0KB%M+umLhyc_BHt5Hh^R?&T@#CCfVrXF|0WSj(*alO2lE(y*N
zdyb!BF@yZR<r?jB63A|G)Cal|Aia@M!}5+948JUR)@MKhoh1ctaeF)v1bghZSIt0U
z+(qbGv^ta|)w;1ODFbs+u33w*ImASZSZUrN!Y!w+rE_cYpfFHUJ>qH(U%rbT<?|%K
z<1(ValU^xsoIi5m@a}rA8AJDkkQ#XRWC`Ao6a(Ic(fWK-bC{48`WE#N4`!WPEgF*o
zaADBrpCOw$cqaZ1+~mc936a05akp>%x-ww6@!AaHMGv|f2Ps4QjLD4BGX^j(c#+ZQ
zYzDaEyB#OH6ru2urt@X`GIFR4vl3mVf#(aMu<H~BD2N_nTE~we&xc7WKci`|oN4`b
zSXT~4{JdVtuw)^{2Uq>h^U=W8pe@*fC=FS1#iQTkzoI|seWEVAbM|A_ut~9$fE#li
zmHVP6QN2gTZZ{MGsF91l<w;_|mN+bYHfbK6-Y{*=c0r)QVpHS{y9jh;9{uehwTMpd
ziCNuu(G)~iKEytFDF_Tj(!Y2vE}<Q&2mk3jG=cOZzgaFS@IxlaOQ23<8Fj&=Wfwmf
z1M@uwJe|f3S9{*nVN%QJYO_XD^*<xfU!aKCzh?*UD!mJ5E0@s7Qwq<cG>m{Fp65yR
zBNjLl#T;^KdlALx)|=vfhEV2Jd-G-=BUs>!tYU;0(G<<R7Q>eYaQghs8P1ArWao-j
zsSn2=)F|r%Ep1C5zK5nydhDYkXGWUkt_;qjcR&9f=-jUl?vv5jir+tkyVAb<$HQ6l
zRW*<G{U>@b+jE@l2gfp!_|@!ty3a2ZzeT%}%cuv_t0uHEfj@|8{>P^p4pS&+T*X4}
zNnPmg=CjjZo<T(4bv8&k{X{R#$!;HQ(E*F+ziah_CJ`$E_nnmZan$smaC0J62ROd)
z{9Cv=hBS8j{;>Qtib@gE(|8|igQcnOJrna`<aFb`bjGj|bh+A{ShV}ECw21fopb+!
zkn1kEnw}U&do@J)^y0Jtm8~PDTJ|C*zvWz8B7H{}#&}y&ShT?2)HP!3RR`jqC20_H
zWDwoE=w^LCnhLyUwW_<BKO!Q=f#U{!Ur<_*=`mFnD%^gMI?VR?9U}b0`^NtK0rYmv
z-94(YyZn-ExH<OoB|?xrM#x0_QUA??!b^ghaIfJOd#}P{Bz0YdAg|JoUU*;8&6!Ps
z@>21$_|vCQ&VrIZy4|1A(#QRcwL}WINDoRsFMN#t9{>RV{}h*ZG}Zqf$I0IFTGw9p
z+T45Xai5fs1`;ZgjA$VZSq-x?QwfQdA}imbB=;jqN}@!v3aO+eQRdI@ulG6c^L(H4
zKJW8BkH_<+aph=X(Ze^aJ7rm&KcWnv@Qc|Vzov?{uR_|OWc&>)V8g%>&ujW{7gSB>
zqSms=JC6C8Zt7;m{!ZH*|5^_oi?LS6&OBsQ_#O`Jo$F@J?IXC>^6DXfAJ>hxH;t_8
z^3S>22YOiTrQga=+v(!ph^|cg(`MFb{CUqm_m;&o?ZmBkLI;XW7Z1Lw7M4uiei=LW
zcdQ2UGK=?5v~lg-M=$DyXRP%C+W*GJ`&bcPqo1opwQ>1?)aKdL7py3{o(8>ffW=e)
zP9@A&3oE-{MfR-iU{w~IrR%;MVqN-V9==pfMd0A+u%yvWR@ZS;|8DsYtfNJZUu^}b
z*m3n&)~hqGS$>*vJjVNnS#;@!Rr0|UjJVXKv-`YZ^^88ZVgEV8nrn&tdZ1MkDv8JJ
z_B!^kC}Xuv3ArCx4syLl3<FK<W<N2SyQP;E<(e*^y8jc4`JpRzRjvj$3vGMuoZH9Z
zmQ6GWJNku{{kb*y437r7H=dU%;2&gdVDAi7dHj`C<Gb^wP?S0j75cqAx#c};&AZo4
z45#lb-_k?oH-D;OjE|?Z@8t(pk${Ejzm%V>FY7J|dF@uiDEHP5$&e8i_r6=RG>J)8
zt(YOF^tdYaz8(I$P5UED`pd>O<}JTjattPGWREJ|L{qYzWInO>h;P~uQSyiN@8iw*
zN555YZ8~4&t?3um!uj>>tqn7*iyIHEZHQCB0dL*x%=E7;3p4ts{{&}Q2D9=C<3cJp
z*109&wCZ<O!QE;Z``me!wd8+AJ1#3D+n=q@F7_wulelk))$S$MDQ!oJi@7qc-e0Kr
zD?G`1e!+VKzdbuqFP5kK>Xs6CoNsJPdiI-TRLLymUs^#-`F211@?8;c>noz8?)+g1
z8dh$kedZ)C3Xi51S}EfD&jgX7&KXuR4{vNL7Y{-2aJLvdrvQPO#&CP;EQ?QwA#&ZD
zkJ!`s{o{){c~nWLl)ZX5&yt<@-ktedfS8?SGCqXLgI@EQdu{F#%Tw%5&aVz(!m;*9
z)W_dsgfkRM#r)WbgAzwa7Z*ec;dj=MIz`3}_i}w(We&n--TqJ34dO)B(I^(fn2cee
zP=``sF5+g9fBCj@Ny2C)!FTPi9E=Z5b!Zy#5aU;hDq3Dj5gi`gv8Ue3VZGBL@h6p!
zFeUB$AgnD*WWAEo`PVB4$KIOwdlW(9u+xr?VS-HD8@P5}mV*rUl69)Pc|?fy?|xN&
zx}ZojY3y0@+e(H_w`07vtQhe~ErMd#r%dRL_7}eVN=DDoNaAphIN_1&-P@L~O3YWS
z571!AV|2FOXsA(=koZsIWJa($QOj!msxz#BKb6OMPxna?g?lwZ*M(>j>uPq=zxgYn
z$wQ+&fFesU<<=d%mq{gde%;~wt5g~NQiZGgZ;*-pkX@on{o2Heme-P;V=73JakVJe
zrbra~>#NwT(IYO-Uhm$vPYwMO(mYbd%EbLR`Tx2*4G1f8u!Vt(29{pO@49QMO4R4M
z>UJ}X2-&NhX7mdb)b;!49UoRBZY4fSDLYOhPI<O^EV^l<LSxHz@2eVwjf3ou+Q)Q4
z;F<&R?zA36_q7;%9HbD=nl~z=rx?WfZ=7Cv*9{Tz*4N$DRg0KOdudd*XiWG%ermP)
z84X@PU2^Z}=@2hxdDN0#nGjkg=R-JX#vmE57`I#0B~CqZZ!7mUC9<jt8o$3WMU<6Y
ztKl7e;=i4@l<%H2CCKz{C&>~E3{;W>os<lTYhz<-&W@&pp8oH-H#yd*&gsdx_}Gx>
z*VpVCJ8eQlZT=ceUIlbN;9pu;X+#|O;b3@TgE0}qmq;ovx5bx3W0FQ^jEJ8DoZ`(n
zbmGzipM&OKJ3KkzDOOWrM6fo;y#5qnL}c4ZmVcC3h1oK@(!3-i;&xZUqo#j)1jZ&c
z^`=(gg<r@JKh=m3KJ8E2ah*!cehGHz%e2RMjsLY{nTEu<HSKYC4AqE<EWy<QpX~9_
zYjcCZX#-+Ew{zNuhh(BdeO={?S$ll2@;t9|Nsq|eN{uM!6eEb2H%IDU*(2<G+qI*6
zb%>3t*Uh;PvJ(JUK&QWq{8q0|N9?g(!Q$OMAuXaS$Nj>qy<IG3dUn{x`Bjh%RMMTy
z(j>AECUudvPBC2qKV57KTm`*5T`QSF>O??uKU--aCjt{)Qd)?WaC4g<9Zy#w?6d6@
zPPqtz`|azmPe?0qx-{bQ!fHh#S5orR4tX)$@!|?L+---n8@o>Q-IOIhHvd*GHj_Z~
zahiSDV_V#jy;*w3g+xqNF<UK)CDA1^DepwF#o*6>;nu6gh-R*1eYDdgNHa*v^fSOW
z!*$%5WC5aX;#H+EpA@oEILz*G10P+yALni0B-HM`FSf9fLT{TVR}vo+42oDvy3;(%
ztMihs*7Clgm#%7^v<<dL>P#9_ez6Ybst-4jrQpc(JLbNLHQd5O_I=3gXXSI0cW{i8
zz$TXWmM_o>GB0<{$p$}Urshn0ov9|_MBY;)`ejRqr*zmQG>tGB-Y*EhI1(%_X$8Lh
zVu2hTjz8a}elcDCu8=WyC!zJ_1FL3h3)F9B@>*xiFfH_x3M9=*$R2KO`JQi%VqxPE
zCI1EHg@Ul23PTc}hx84{a+rg7{6l}rogH<)XN7NClfXscTznK^hOk|=V@>rO_~{w9
z@0}kB!oO^jO(#r|!F(EM`kM>W;_WggFOiUN{MGx&J*FsVpc@nHyy&Goa7>vZVKK}%
zeASc*^d&6?_<!*sMb+BNJ7D>JWUnh6h&RE}>C$IxtpZ3Z(x<w9m%^I9Yp!#$CLpn{
zHuh!;VNrmka{7!kaOT3b(OP4CAqC!7+#rIQU*3<!U1iXDTTa}?#~4>`8^7yM5QT;5
z%@ciEve>!4{a!e~F>d(<nzQ+fLGztk;1l^}&I;e=&0;aYbget)yGk53ZiaJ3T4bbM
zaB|>{Wx!&kuaB~h1nR0>Yn5H(!It!B?W&awBweh}*O8TkflkT%y9@;^cr|Zs7H6R0
zwZ5N$=<@sO6n!@TtcX3fA3w-W(4nQ#IbA3wg?ef2X%k&#kTrr-KEI^H@tWRTjiNMq
zo1dyw{7}Zmu*CHv4Rp+y=XZyh$snuiCGGJ;6(|;S7`(hsM}T_xrW9XU47~Pnk3Xjh
zX|3_jm_|CLj8AO}J1d6@u3FqUsD^!V3+gT1biBE6G2Xd{3=wI!<XmrclxH@P(r4*-
z_@c;Sn4*Big{2eQ95rxru;fdn9s_*GzuY~as0bQgbZd%<Cj1(equ9b3crSJ0hvyF^
zkllK;_0%blA*~X$dCb7G>Vp2(+serJR9Dd}L`C?PhHMTUV}#PWLnXshP+*<!ne~H;
zeV>Q7+`D277FUOvo{=gZH+*VtZ`Q()W!jopT@#Sc{`Y*xZ&kdgHD%9C(FW&}jzF2G
zCfG8%)LVW>4GHN^Pxl(@Ak#?s=+FUEO!yZC+}^K_FWh-n#A6-od;hocs?qZQtV|-a
zv^6k&I0LWfx)@d5aJ6vW4BO?Oe|_Jpf&LRU+ti|TVVgE(vir3;Og_Y?eU8yYZIHE3
zO|~w0qOO?FR9isfTv1}8C<VSghQ7fux`^hro6gR$MCBoec)u(PHdb;-tufMta>%7B
z&R8q-^0_<N%~N2;W433qN(X0uuU5Id%^LnQoe2i(sZegc{)Cv*#<ob_pafGJWRZO}
z@)D>p|5MD#C8>?8kNdtoS;55V_`_N!3YPOj>om9)sp#psJK6Ani927?V{>w-_{+{V
z*~g-QGQ{4fYyd>-Xx?<&PX*bcX3)@26Zb&Au`dGXc;}nFLZ6D$)Uj*r<LYpT$p}s;
z0cJa<TVFh<p!xT?PpUy`&}uurrLY62^_XreUPnQ|tB{~O{VGrkFZp!hGjO%c?-Zj(
z6Z^NWwz%Y}jBuX6+xGtgjy<(7z0IqMV;>Y8EE*JWcL&!Gl?kATt*GMB@_%xT*diD{
zC5Na3UD}s>0Xe;d!41p3)ukfDLB>Z0n(F?uwhw><j^=kgE~_Ct$@P06n-na1lKbM8
zc{`w%kodS!6)z<i&V?fq$hMFCI=mfdUYRPnWk>~U+$ZwA_{8D7{=cJtD1hf?YH{*{
zGIAqL&US^1;?%169QRjD?BtS33{YC`BU_~T#!ZCLJbk62%$W(Z4{e3k8Hz|)JYDC@
zEeM0GN8j8UY+&FyfAPmpdAP1U6t&>QkNLiAV^3Wh_&@kB@#Ic2Jbvx@p756!MS=Pz
zQOh15v!(KU{v!)U&ESY0FE4a=1l!Wst)ck9*H`<J3>IEWY|#znfyl9skE(ZB;ck;z
z>k~g|Jlvc8fuzoZG}#EzKV6oXc^@Zo*;Wd?mqb#v6nS8Dx$S%-ED_?q`H6}R2{I4k
zTjMtI;9T6#JNGIqVA}hWd!45wJe!O@D>d<8h%VK)MacrKLL~z|sS+r*NGBxyc(L8~
zca2E4Ib`XnBbI~WXwg2F@2Aa&$uFipy8Pxah!LuJx<(v)mO_sf<oLlRQG4WXf*FK~
z&3gZJieX*TrPyWz0o?4Iy;RL%hU4XaZmRpmP-c}<wIfIn4Ws36vXe|vyk@7ag^m~`
z-&+;gJru&WrtI`rLZ-N;&Y!A2FA4`XQL)2x5fnL;%3RMi!Mbfe>@uUG__LL6x-mc$
zUtj#Vzf#)-es9I~e1=6Ky<w3aZ6k)@Zc5@f%NPxe#C*4DQDpgm6hjq9@XzQKeOs3M
znALvwP$e;N-ZnV%OjQEwC%4x7%rQ{BuxZsQA2AfW%L^~+Ng`CK;$hQe1_szE1u>Ok
z806fi(6WYvm<(h7;Pnh#<<eX=KoSR0==0>`5h-M}Op|W2Gq9-tZu81aaV&IRqbb!(
z<GYcvm3TcJu{U<VzpN;Mlvi;vG;vw@?({MeilgIOeR}jFApwHvXVw-Y2dXG<Fx`=k
zjh8oA?L90B+dnQIk@I8(t()?okm*?3k+DO-j)b22`;%E&3K01^f2v@HhBtRsPybbx
zf>I{iZ9^+1M7KTj_Zg(&cC)FZtE4o76;!YA#VJG2>Zprt2Mu<E!H<>YW$>cXCTwM}
z3OF0)+)dhPP*g89^){15$!^{{4R2M1n)sfv=%wL_1FzAmU^#@VKHpL2wd@P=qj6g%
zX<!fCctxR{jM5YJ2d*vq!tL$don>-#{2=SNoa0o$5^rCeaF7Q6Ek<=aZKT8QJ$H%u
zK1GnSyaq4q*Mz8vgxBf<I;6)o2wwiIgroX7s!m5Kkg|Pld-We34}O%M_;qi2&fA>A
zh)JO$f<0OkAq=?r$=qm+SHb5v_ppJJTDTy5gx)g2K%(f_XZ?+;FpP5x2#nK)eCp)Z
zoCITBqve&Z(NIHMOsAXwb{&l0Z|W&AG{H&Zy8TTvYS_#6?9o{*T{KWDBo6;HLAOba
z<8X^QWO#~b>tE}Fd!8ZP_sA5Hdo&c%&S>C%G`C@`haO_r=A50sZU)CCld=u&nuzKz
zPnIj!!@Q8=h<T1V&a$*c_V7_K>3pHzu|p4qC+8k2Wm`bF{ae@Xate$F8{hFh&_k{=
zy>jn4OB|_By8p$RiVL;%_ftdk5V>G_Oefb0*$XVS-FK;&suzm=(5s7bRig`?7p(D4
zx@*^vs1|GwiL0#<)Wz1BJdT8P8$50feW<lg3+dsR1(6&&7*=^A>T`ezEX1ev?$pAt
z@!R4H%RW7Hc6Z};Rp7W=&49bF7O3AZhiZ6I5jXT}c1tV}#c%y-hNgw>Lsi<Rnl)jQ
zdTpH43hcE`_0=4q;(AQRwsX=N7_hDMQslHn*a1uO+HflJwETX(*s2EKqr3-;^=y~V
zKPzt=qF_#a(}9N<RWRJzE_u@47IG2tg(F53Y*KQHPI;yTowi+?%(b?7v%NAta<?Yr
zXNqFQ<K!`{`tDq-oh_0DqC&oAYCu%xl8}0UEbhGyH_z6##XZx6BZI~2nD(pvB6?B^
zf|o7-t>?1EWOH6Hd$k%O49p*H{v(0A+4;uZT|j$$NbGQpDy$lx()!EA&~~G<gg+k`
zU1|BO<-Q6e@+l_|1&bgyHE8_dX26-MJ)6~_3{G~t&@N#?$UAx;DijBPH*Otr%~AqW
zDmN(Akq=HUf{S;gGm-8tFF$fu0kb}<w|NWlAmeW5*Mwg-*fQ1Hcm4+%JRV2=$s4$!
z=B!ZC=VAk~Gp%p6?Bq}#nIL|HlM`Og&efP#SfesJVR&bi3`7`UTvg_P$Mp~u83AiJ
zoC|JPX(f%<zEM{Na#mpfzKmy=gRNjJ>RdKCMnZbx%bgd!S3qRD_j6W@B}7g-c=O$s
zgz3yPE~%X>;P<XASwqVb*EfXUypSh>(gn@NfbtdiTCjrHnq~o!&%1{luZlw;c}4JT
z3I~+dY+U_p${a@O)!qA_i6QRJ?lXQbIk1@)U`6<vW22|2tBHsh*h4xz1q(URckse+
zRJ$2ApK47`3lqhGnt=G7XSgs_9i*URYlfnn-z5*;iNMigIMA?|8_Xrs_y1~5@%Pag
zYXLqH+-<meR{SjwSmpe;1?Z-Dm{=G3GDH~4Q>y0antTxP^f(k>ZGuHs<Co8~LMXh`
z!ZVb~kH+;=4-!mFFnh4?kYAk;MrI6?Mx_K%cDDYU@v;|g4!+4hR4jy~S<c@A_l2Ns
zuLEMOF#?><QZ6rh$nN#Ppk<^8&U<gobsu8j+v8!qyhR~Y{6@+9Qc?6>uu9fC%z&Ia
zN4rn3FkVEE$%Q3i$jUU{8Yjs>Z;Gy@?yN9Ay(n6}_P#hgN7phh)-H3q<GWGHe<Ha5
zW#{75I|+=lx!mp9PDlIBdO7kMQA8!$#MO$B;6AXRdq$LwM4svra=R$>5ABJr^O6GJ
zOii_A3k~9%mbMQEieV-B@G7-hX{>*3f5$zM2H(@7Dc8irv3ATkhF@0}krIVnq0Thy
z3b7lz)hUi3le}O1?#aRB#`#9N91Yt14==eEOCTU1oKMq79*aJFGv1R%7`iJnK9eB{
zUD{Q>RyjqSeYeY%)nx<`lgcA2GDvtfc)g<VmlF7kbL<@+8A0KJkmHN1QXpL4IzIZT
zj84_TgxLp1%bfa{eYss4YZLgsk4&kcC&cQ}%yM4lQzdazL>8CyU#2B;s=>UK%lzP5
zBbaMb`ul_Au<+l?f>cFythHSq_i(`ow_+ckoqkP*rG})0kF5sm{`rV#Gib0sWRdLU
zu{=lJieNSF(nP^)ojJK!8Zupbf6q)PVrJCXvMYyzCEu{W<IDaEkYmeHaaM-NiBEE4
z%~a6RPgxB)(_tTe$ee?^>^}w8i@o2p@aEje3GpsEWSnFvHw9D?v?9@ORzL?OtJ0>n
zL@+S6KwQ<CQpJGtR|ZW^7xZEwF&%AV+?dEMG8$5Y{h!rNA4K&)k~0q4_tzMI%KJJ7
zTh%eQNrx)`Sq~>acy;;@m_SJ~l&!l;1C;_kAER^hq4_|M64_%4xAFQqt4vK8o4oKm
zBxL}R2OG9(jGDn*@!^_Qe+u|I6Mwz(Hb76>Tc5rqa}*{~p7d!_A$u<QjG4ayDpTXn
z{ME2Tic1;kY8Mqkyff*~)eJDS7+=`qVui(tq`Gy%THvdy&wr7pk1Iigi_=G}ajWoC
z?5Y7REV6yMsN1544dg|Bt2`T|?aK|_ZJ>=*RsNCjQe7+~)MY~{6O7Dr-~6{~!{1Dz
zc&)Pz^yYToOmqbXCBo6VO&h`^Id=6`TIejBS@W*}crFmb<7cLggzfTa+s7zaDWsYB
zQqC5U!jXr~KWpLik=`eJ{%L@IXP1nyzb)7^u5P#;ss+cJ<Qvw1)i7`SQ#JFvEz(G1
za>1QcFfLD~`u<YEl_Zra;k&kItIl?p5u;-K&`o8Fk4iACKFv>J+2XB90O3ogz(9V<
zF+fxveP2J`8ClNHA0E(;vDO4VBCa_!QU*J1+Z`P8ZLvA6`7VdC23kK_9loYZg4E;M
zQz7BD(0V}<FH}-T?fvx%R;J?6e!u6-6$@J!tSP8^zCsPVXIsoYEJZL+`Ks&s4;WJt
zAeW4&fL7wh750c9hc+J0si_1^Dr9fGexeMa@LPSym$*TqekvRG1ypz2>E~`&0)wgM
zulj`pY|+U<*8~8cZJ*Q!Rx9B6X7*O!{p>hHwG!Y9VPaLsb;(|PGHAm&LcTIf%z~S(
z-l?@Vh{=qIz3nFpoq^?^v~HfcN$N>;52p=W2mHzY1=1K7{Uws_Kg$fe?o=7;W(~cb
zptmElBm}4qY7bfcV@B4d|Es)gh3V6I(GJm)$TzAJQF{27Nu|Ad>hjwX5=CCCKQ8y!
zqS%Ha`R9L`o916TaX4C{)5Iq%=A#(g6G)@&F8`P^`qgBMA`2XQmaXKm%(1I;rHlZ}
zS?2M&gzS~`=3wVJ!T+>M1i3eu6FSjzOfkif=8fLwQ0Zt3t>F|#b=X+(PL2hp?2U6r
zQVBB@jwkt_KPL$8khzt@&lZ_yy*>wXXqjQ1zYJx^b^)a9dM45A&xXfpjBiiQnPO?o
zXFzxdKNM5<^BPC9<L771^B=gEJ@R*I;Cc=pntX*ta!Xb~^U%RA?-&zsGq#`fTI5A_
zdtwpicMeD%)?TukHikj$-5nX(yl|ToW!O7%;e1o-Xwd;<tZfU^`Qy%ungO=SmV4Z&
z8e1)rJi`FL8o4qKyx2RiIx&8EEmE5p;y=m&jr(|S=yINMtD|r9Js<vlexL0iz(BB-
zX2G@$Ui9CSiEqdkz?JvB>wGWL;ZV~g%lOHQo#GD|77;?2E3wmxq0#X#qug8f5FacW
zN5tDgMBvcB=V0dx8hT@cmb#SraXK*jxJ08UEMj%J3ii>kM(NmV{-6BNS$Od1!jKro
z_)BZ3BpQVE<ZGr!1hCrHOKU+)0(B^(v^5%`WvV)pZ$S{Jg!j+C*(?bK*NnpN2aGWM
z^zGppOJNA@aCKtcBSFs7+JMi%2x&B0)9uS5m_EL0?M6ds6k98DmHafse=iGuRpy9d
z$VK{%(jyrpdBlAWuQP;%ZI6pigcwT8SSxZv<xo6&`JZx{A-bQlRdEN1Bklp$C0+}8
zRQE2bW`r0bQs_t!?`{dGC?q)^QB_1?iuS~RE{2ea2{rwfA_@48ZETlR#)O*Mts5&1
z!MDLmEw6zDl3>u=Hxv~JPyBSgzP#_NYu1+|xO~598#U!Mst7bbt}ftah*Kd=LD3O1
z_?X7`SRz^t)gv#rYzZ?&^*jIMoZqsT&9-(re_tIHcHw4>B14=L@HjA;N(M#J@9Q@X
zO)w^PF1e2wBEl-^vJO)LC%)^V$ddv~-J~limPU9iD;(v+r-ZWI9MT(ZQ(=+Jwz{a)
z2(C(l*B1^b!=t*Fbxu$lcgQ>Bw$Nxek+w_JBUA<Yy9W5i{dHiqB-P>2MZ>>aZgXP$
zRk7{0e0gG(F7BRm952nHqd%_h)nb$yQj#R?w~gx|P-b7G({2Xl3~a*JCaYs<=a@5{
z*8mCX!}l%yj3Kx_J@Qz#26{5Lp>D|lA>Y>u+}&@2WXAd4uzXE)c2l<h-C>BiklDbt
z0#jINCq8k^qo6?0LiNQBL!6hFd%tGL3>B5DHs+tALS8av$DgN$D9cz?ltQyWRp8U)
zq#!M@o^-jDH5$Ur=)t^SmL+`pRYN~hw6W=1@Qsz}h9LfJa9lrSg|*xvW!Il-V~_Sn
zQm(Ec;!XzdEOfI$a@(V@MZ5od_kGihnE@*L1>GmEFws4tcKd6V4m28U7#~=A;0${3
zq+>4-#9P@CeOm{f3`M!5X&rF*7OTHm=5V7~;F4OQ4qlO$WbS{_0=wjpNX9bH8PRW&
z<~J|r9RJYkODM>Fawg+jr!9<L9IzW4*2dWdVJUGZ4Ww#>-I<lKgY(n9gpZXrLL}3J
zB>Pm6UvqTvkG&maeV*;Tx=RaNNE3gL?^lLf_T%mAH`}3)qgzBXf{M0&HR?XdW37E=
zMVz}GLJ~tayLeN8E6%xlN2T#CI9#yH+zyo^Ls9a2nz+5UrHU~ofs6WO)l@+{+%spL
zs+v&8KxF>jmm5Wqz%iFx&~A(7iRKB;D{467>)6B*!jD_GzS(R|u*FEnLE-%6`S)8?
z%I$R$T$pJe%-C*diwOUhRSrBVn6RN{R2H&<D11KT`v#D7SzM`_poAX93$s;hvrGY9
zo#9&tfeEXWwM<b3SPWeqFSVayzOD6{Fq8nCOr__J+?PWow_4Ykr$3lwFfRPDjfvBO
zE1xzb$l$syk(}!Hh50`K0096043~F2)o&EXZ5i3up7*-f-g|zJEg~W-l}JXEBpHRW
z%FfCN$w;K4Y`G5^`6Ug?mYtF^BT7I2p1;oPIp@4T?}tw7`j-=T^r3X`=|ae5ZpfM3
ztJI~K#~S|XSNOlzgFAjXuI<TOK)&3US!Oqb<!8~DpJLI2vv#R^>HQq=JF&ilo?{yO
z*x?{{@Q5yWhYR6$G}uAS?)gvFohgivV&zGlsRL7Ya&P6Pv%*m1p=}tL#uoT8E@w_?
z!{&OI#yzToKscUeGw45yMMy}8f0fY&XUo*!?p8*~-z%Ji`}0`WaI7C|q!yUOs!hU+
z1CVrC<v_B{BGx21zd|vj2@`2oMc4n)!4>p-J?_*JHY~&Qpjt%}?#e007e>*7VGYCL
zX3GyuFU8jJU#14U;>JtT>(Ic@;N{1QGOHK^ooUj<jylxP{9R^~p$1>JfWZ!~b*$_9
zpT7#8>cAn(QS|XJ72F{X*_7cnv7g*|#Hj%_C|7<;S$CHb?0?26naOQoL+Ag~A2n42
z&8(MFZakFmGP%sC`S@?lRn}qYV4Er|^Zb~aYN7zkrK$U>_jj=de~x?SwN&9+y3^l+
z>lC2RR-Q3SwTC6j_HL~=s(`>B`I9I7D4=oXi;o9Tz-JjUMV_t-I7o#`8i!E8JF5Jq
z-c(9R>8s5+-Kh+R&p+t=SV94V<pTx%t5gtPuSmABQ3j)7cG|UN3J9W69h&i`0qW0j
zM=nh%!A8KBo)5<;AyDo2+lDP#5K<Be8w*l`6ZfL*7{(~!=h}bzI>q#GsK>eX{y`;p
z_vCzD_%$l%YCbKV>CFJ`^;6Z~Diy)=TW-v0J!-IZbABLd%LG@CJujR*tO&o^K3EzG
z(7?zfpJmX=gD}VKZ0GYu0R)XkmsWXbA*R@T{a7X|EV~35oWc~KjF5LHMU@V8$6Icl
z++_o;{v+&$_vPVA8#{MIAUzBjw^b|{b3kWB^xP*ldDt`89q}DF0H@uLe*RLy3C7kv
zu8c`?u-tJW1)Le7Qoi>{rW6kHi*>tyamm5r6{!yrbj(20?`$C6%MJL{WyYmPvS6Ik
zaVKj0AWYCzr@g+#3t5po{(;A2VYe=@VRVue7?*kls{HvO#=rTOE1N8oyAN+~(zAnB
z<u#5M!Gdteu>JC@&oaRG5oczg#R1o=AI~+H3xg|{OtVzC446pR_B6$CLhGJr^|eS*
zV3iKcKek_&Oj0gvU*ZDB!{UVmBnH`@0tar*%7BJj|Iv~Q+)zBT6=aJez=5<uh6`e{
zFnoAKD}tRD9O=(g#72n2D>Hv}Ld<@j)Vj~*KJWoacIbBc4iSO~D<Sf1a?qvx+()`r
z0Em&WcRpSMeykgWhW{rAn?*aFXKI9?AY|Bp0xtyzM|ah+MtRU0>eAzVD+2ti-y%MD
zNrUz8{I2(t3b1l37QLnsgOd-FLWKNfVfl2cT~o0lyuIkAz@UJKcCLE~jQjI=&^%8H
zyQ~Bg6F%={&JZA{x?X{)Oaa=wG&9Qllp%0!+R3t59BOYm+Zv`R0^{!-pU9gk;L#v*
zF=K`Z6^GqfL$sA(px=rUdR0Nxyf{>zAOSLQ?MdmqN+9!r!>(RV9lFNfm+PL8gf5#^
z!OLpOp!BuVV6j#MZnF>{Pu!A%pbHJS@0XR~gnmg4veN=e;fpeM#nKS5fqP^Ytqjzr
zq`=VwIzaY+RtNbqaBjoDpVv_ta-14Wuf5WRUy(Q4m@de|cJ^`Sz3)mO#UA=;GEN^x
z$ErJ>_V?({MrP|-BPEDTN_2M?0H|JKNhpYx1IKU^9Klr)G+WbIXyyTWSvz)`>gC|F
z^J!b#P<f!6@w@&s*8r$LY0Snvl!FJS{>k=_$$+@oMWX-}LugTHm(g^QgTr#S1D&=c
zVTy^I{-oLve3@pYt9oUj#;v*M@E0PuoxjDLPiqA3OgA6e?8<<4CM~VwD?EJTx=e9I
z+X#LusH|^oNQ0Mw$*bveA|Rm5+TVNF2n;!W54*HULH+3QLjN>A(9Eko@c=Ud^+kcP
zST{*HDZ@U~D$WIYQEL44+(wYl`RtkYJP9h#MA>)8v%ryoqV2FxhEQv+wqxZ$gx2O8
z6g<1MFyxi))f8<A5^uFT@h=FVPP5f*;rbV&K7H^53&9XPS})od;_-k{Zd{8{Tg85)
zj}a>y4PaY$XO%ly6gF~4_`3oouqkGxMNxAD@Mx~wN~ISD3KOzJbVx3_)=$mx<RE}?
zA~N;h761{7_oHMOAx90Yd6b_5NEs*$nX}@BzO#(=^%nDFx_1KhmO~g!(@N1YKf}S@
z<(Z*ut0nUH`kX|zb$uu|G3@+g&Iyx@F;xD9pX7cMxBEmceZU`gYRqC|hYyzL{+=#a
zA(z}8Z3xoQgOVZs!Ei1X7(LsSX1%jQ&bHd(yX2z_w@4?ry?hu!`NXA1%pX?BO%!A1
z#)Uc{-lEJcAV?42GMm0fnyrwpvc)BS9MJ~F1l#NPBxvCM!&vqIe*7S}!u$F)0d4TM
zn5fo^qXdEHgL@mR-^o_z3T2O-(Sq+wE>5W)dzg`DaH02$Z)Em!acYliH30<o1iH<3
zu+piKcN6}L<RllW-fB8c=xm5h@O$(NTe)BEF3Yz-HX<lLr*qSQwIC-Qk=S*NYs+Cb
z?CmVMUH$cJK$|-Fm<VK2cCTRnx$JCO-km02iOch?6jO(UrBwf(p6{5Vbe`uMme1sc
z69o-dZmB`xsmDTf6^j_BUgaY_nKAO3eXDiJrYhj{U$o^4%wq}mV?x{ML*%#8Q+j_r
zRUySZI`b#X4EBat!IEe;Nd9+rFvw+81y0&Wr9YdW#PY(3^^0cj$(i^=yqQN;fYfbi
zDjztC*{l9JW`KV~wk8=)#`P;h%MS~=@rR$VDWw31MZH(#yFbr`b66|Gx0O??lEDMm
zDq#?14ZkFZtvZPFy;lOB<AUl^FW+ItZG?ZS{bcf`_k;LIM<tLB3?1#<>%$!K?bS<L
z8p-xwgd(J;6@eri(j%_Xi`}>>IL7K;OOE)L_l)YiBB<V=RaoKb#<q$&wEo&ZBx}Cy
z-<{f304)*E1-<Jpv7qJ8jN-cm<VgL)M_R-bAY|jRhl_VRmY_+i^xQg*Og;MJt&f#F
z@Yh~S910|3#v_kAMPfp*y>XM|ml1OC(u~Jcr>_-z;7D{MOJ-wP>($J~b+Qn&GJf-6
zXEP>k^gU)G?>=@Y&qiW=RR)rlZbp4HYr>c#L`rHqA7b_LQ9qBU$iU@K!DnWS8!<=a
zQa59#r&!M{${!Au27KQw&+Y04tTR-x>E4THn5Ly-uw9oFSihLj`f{ZKqi&d{5)*B}
zWHqeb7UHC!<lax~kGTz4Re5{tOj0veb-{f-*H;o)uKq0DVQ$3APb)UvVQa%w;~DY9
zP6_C6>~uNX*NFLw-`*J+L)f<fzj!gc1V~2W{=6A%!no-y)+~EEFr|B|>K9{3Kt~`x
z_Y`lz+#gpR`uwgFYrkwOvGt7zUxM@VQFALcSs#|Rxz~+7bevPTbBqXnHd+3SIc=E9
zbN5mir(Vo6!<b&ZQyjKR5VgD;!Vb$A#b2C#jeYeyX4IrE4m%q0Jb`)b7!$qeAAChW
zmew@tLSIdQ==yYC$G;sI>rz%0+t54gpUz|jy#xWo$ONjw#7<0g$F28Q#0TtkyK3P5
zQatqazZ$x0-i>9-a9VrV3}Q3il9mw>4-P!P7mPGtVT)dFTpl)`Fsw7#+Nx3v&e8@X
z6HonzEy={{Uym8aaA&Irm6gRHF5z};R7W2s+GPEEcx@CL)Vw`;;)N)beoXE>?EMxC
zr1Dvlygz}po%%!7YAFg=CkRnxGVihD3_`~?4o_jKbHb-Xnnl1#wJ;*_^#@GrsKJ`T
z>NNJB%wSc)tT1@#1$qhR3}W&dJmA(bi#a^hlkDRVh8M3(izKr@VQm#WH;TLFF;_*j
zyJRK=PEXJG)4d+Xq`w&OmryKX6q=~->kUC5JpYs5pgV^3H!{#Pg?_^vcqQT+UJ5{T
z@8^rls}q=dhN%2cjb+R-_pOZ;qX2{%FsZYLPGMD#o?lEA+vmqgsisN?e&DTBaU8<W
zVC5euwW&X>Vyik_%EJ|WAoG*CYGr2@8~UR4K&f^e8^M{+E>iFTec(H>6uJe>Nxt1B
zzGo97sWdMCImrvHx&N+)S}tO~w<Pbf@NQ$l+WuO`FL{8G?yEQH-8bx@%KIBpl{;9l
zM)VI#c^=qvh&a)ezl<GSj7@cn`-{0}CAFs&aRY@5pQ7yX73^31slioe3Lwu77<=<_
zgIF~hKf|?#T@UxGR1l_u8%4t5gj^haIP8D)#@;$+h|k@m!qGr&(AMTnJPz1i#ct7y
z{K8U8#>8;ObWpSDKayF;1<lfta=5G8Sh6u~MtRKv;2{ku#oBQ}L_xY<kl-$Ma{^>?
z&oBXb?Xu9<znrk)y3+WNeh;(b&9ewS!ve!!$sW(@Iic#s#bwHUZ$EZPj-g|m4XDG9
z%GpM7LZ0WtBKrU;peQoQv#;j>d}D7#*9lG-_Bs6PLjVn=e!8;W@sbOIB7`GeALRtK
z{7Z#959#3A&d7UdMjjZjmE8N|!3nPg$}L}tF~AXL39fG`d@%L1eS`WACp7dqFcnNP
zL3C1|NvxwFtVh<3zF*^nZ@&sNyuYwOovM0Kq>l((<$u{e70Ctl+#ctjiLrxhnrQ~B
zrx>)3TV-E0$ASA&s|L$o4p2?m<Y2-G@R%P*$LY)s@lCE{w;6C?FF^NSj4=^R%@63u
zAs)!n?U&iG;DPm~<HnbRC7?i=^<4PAk5JBvaoq3ZgV6B4uZe?F@XSYoGj~D&Gz)7k
zgoO%%jk9EYp{p$XGkceEpDYa9vNUl4`+mbw;8wcMpa9Gyp`c1hF;L@AjJ|0l1|u${
za+Pn2FhhA)<)<S7{tbBj4x}c)JtO|G#(m!-b%#iN{zHWMHs6D;AI0HMwOd+BrwX{e
zjPdd&Nx=Yhn5HwC1T6UyHL2oi@ViB3pmbUmh_pHk+AWfBVw#j8=&cS{OYFXl<tu`+
zu~PsJNrRbRi~;GY2C$aeip1emAVto=cconxRx-*;URr2E8us%x%cvTxX=*&luaV#P
z*P@bJt(xE<sVOM%SrdBPr<j8E6~UuSF5*?QCWO9F7{A1!3ydWml8y9A5Yv*?T%@cC
zNpWS@vz;+G)bP1*{Gk%?k1IeDuLhLQ(J<K`G62b&arAfimBHPpny2NQ8mwm~eolUE
z2mxG=FkxF|sQzowEU&2oD=&*E{)iYu=ar%Zre?|j-htBt*@|#2==imGH50H5DCRl6
zqXgH_>YP(>kb#ycH;=u4Ca|%TdbR$X66BqryH=`81cyG>m^Y!O!2X%-zjOB#L4J)=
z{+PEg)Cp1Ex>{-q8Ygq3-Wn*t1%dG{6(&vyvD?9h;!S~ho2{($r!4r(1c&(*QNqES
z=^Z?Zrmzx4mpyn|8YoJYJ3O&)vOxzQuC&So<}7AXK0J|t(2jtm7gzq0{TQ4x*AAFK
zN0&w__EQ{w@Y%T}g)*Xw`z;OI_Qv2~Ga22ijEB@hWi7@Ib`<O2dde)%2r2~UHq$sn
zAm`WF76LyGb!&afcsXSVWiBUpFaP0#BRNSTTfsc2)q9!gt(+meo|P6HR>px6-r0$o
zkq<FdxgC5GV*qnns_EWjHn{hR<|~<kABEfzvS;`LFsyPTy1|M8K4y;<_TJz}X<`de
zuEzk>9}mC#Ge8MFOVML?HT;O4tdh}Jh(Sh?zd$qpFRa_|ufO{Pesslsu5`XaADlAC
z#M@o7*yFL#ME@{;RL$bRC)=Y3X_TUP{<AgYkze|FMIC+=;fd!h+tLLq+h2wuALq$`
znDkacfAJw7swvttnz|spac+^iex0nMZ2xhkjt>QdZdH`W>%dNTi{`b=U2>SLR9s^e
zAHt1l)6LFm!=IBcMd)oQk?`)9!oA~sh~+^4?rTeJc>fAF{q`yidR~`R<!8x<ii&$N
zn>H=@)2aE@*@YfCi4rWMZTV2aRTJ}UZ7rBn=XsL8$$(t^cXy^Q@S&^Wp*_FI`+I(t
zl`7hq8Qrgm{}%Cp52;Ol?D=J-2`wkK7tGUGkj)c?p7+~)D8*8g)^JV(nmLcACE2o}
z4~Mi?*FE?V-e`2N?1l#PxwI_dt=Q4CCIPm_MShgEbCS#~r2%;t164}(Igo)RmeCw1
zfI9q-^@R=Xd+%9m&$CjT=yHJRF+V*)l)C90$e5xIYPTiHC)v1A_QF9sUS=T_PB+Bz
z?XWr=nUn~U_{D|T#^aRdSA~$1<xHnDmpV+&2KCcS;83EOrToCMFsjQ+D111l1_hE?
zp<lbXQQOXg&-HsE$nNn@uST01aQO{&gx2vOi8haloZF)4sgmn|=Zn?g#Q>^0Sjme-
zV(v|RkQGA=VYo{#Q`ErdZ)!tL86PsaX7`x;oft|`=)O@Krv`c&V?LyZ{76PCXW2Lm
zk6c1xYG3U8xo;pbZ1TAPdcAqVn@O60jQEERdgrJCYc}J%-B*IB(ps)yVuFCQW0HN8
zo~c1`tkHSPc_BnIHZ!@LA&y$se-EVXbLo7;#!X-lLFsbGLM1GSsOnPe^fHS&SX^I8
z+2RvLyQJ|{={+J!{+HgJW1|i|GjRsgwW7#^hbP6NnuJ*1l^eGgsYAs;J}g*@A^K=x
z;WT>*MCG-U?Dt0<<Qwk{CoPDfMDfRE<P{0j6rJJidsYK@J|FsB6@^DWocbo75t8V{
z_!_;%ga-I(I&HS|5|I4yW%)0^B@yQoyZI3}P2d;pHsq@&AiDhHlZB_GP`U7mq|Xmc
z;C&`l_eMt?Z5;H*epgAMtr?me={PNj?dQuG><~v{2@9lxF)7p?U0>Tx)P|jcx@CGG
zqOFJTA7w8|p(JmyC+x4ap-l4hlxhtTc{;}&j2)3ekqS$f;xFldZO6Q#92W^`Z`yq9
zDUm`%fy_)NL0#D6J;pP3mV}J0$X*W)Nuede&g``gU7!uMt8;ijLeHEl3WHutBDWe*
z{0DbE*ohGSvO7RR_(nbdd}&Ga>IxRGxT6P8X$7bwmq@6$>o`{CBY`sTYl_*i`Y;hg
zx4ZY9guW^+DoZ7iP>7Mrv=J2s2NDjraSoGESv(Lbvx#VqWUoBokHJy4A^MMxNN7r1
zIPpx1IO>Q$6?~%`gL}a;p;PBbNbVd?nk|%oqFswaF46)>mrK2|<t8DmHw(Rau6Sf>
zn)3@Uv>yk*M9iD3iHPBKo63y77`i&=$73Q5@b=TmP&QQ}diFKJ;1W?3m7Kq%z#<25
z#Qc=_-70bP_cQ@lE-j40Hsv<ghyV>{9TA_o#nFsm>Cq~pAky`+hkP7>L7$O#WC#H@
z+r20}V8oAp%%3l={EdM?i?E#R03IdNc&HL@@}g|qbOC!41~$FSQb|&HWW{vf?BzB$
za*Msgf9xCvg;{T{q$0$SHSLd^f_HG}8zU~)g98KUMZB{6fG7&sjag(l!-c-Cf7%v)
zst*t9=2lP2h$24MyY_acI8jIP-6Ka#_2CCo%@a;G5!8hDebE@tfsm6hW!@(}NDSe}
z@q7|O-HQB=PL8o7U!PkQSNG?bdgew}X4U?EJsV$Ma%4wReUvJeOS*6{9|aDj3!uA=
z0rcb@HuQr?6Ra4h3o=7yq?%-Y^vcp#ji;RrU9%}pRovErwCIqE=mI{J<5_h_t%41m
z9&@}X8=(Wvp;d8KFL@C+`{%CUYBr=ecawdAMh9f0&wZ=^$Ad=AHv>KU*%04a@B~e=
zHe}1%j|<!Jpw90n{&gQ<M+3b+czzyj;I&y&t$4wW7|+!Fyzjz}@~-9Rm6d40uvhs9
z6O0>arv1}0-Oop1?ap8x6)os04({t3!XcS6M02Bkjt-i<2^s3rg!QZ+fn#wvw3r?c
zaN!LH`Y3khtg)*mEPOMdmpqI^KQA}MOrGaNtnS;XjlVQNR@p(sPy&Yx@}qx^i*X@u
zm$iY!EDew|IN#L5gF`XNlRp;cxzI-L&@-Ht2Gq;gF-QpE(BArDeq}QbZG0J&d@`*L
z!*5oZ`89Azl`3m|sfZg{MD@b+RCSm#9@|p%#G&4UeJ4`0c+k6BwF$9C>X5UV6vO%e
zhepp>NXO^%qQ|r$4!8cQfq2dt&C`EyNasr6z5i<X5P_lnmFzyB{}sxV4xiyh7X}vU
zEr<D00?Q-vT&x<LoGp1EH^q%=HU$HhSOn2s40m1rm>P7-d}-!C&x6jgKlSxLCWHz|
z!K5_Vea<sV>N&IUqB{MDroL6e$Y8;(E{9nSw0^I2-9@~}X`TC~=mAl*U8vaqc~cb#
z8uLNPF??vkxS}SyT@+mznI5G1stO4^v%2lh{3wXo)=>Al7^*6953F8Lg@KdX($6sg
zr1+fp-$heA`WF^%7X4EdESh7UlGOx}1xI%gGaCWD<MJw3q)`KdN0+JDb%c<`@#*eI
z;{;T(Y)En?s)5?M$%aB}Vf5olm}7CJI4ZqCKY!m&4bc7XeL@#R5TkK8_4E}Yk_mLQ
zyPc{AqVCLw;Z~x^d|@w+#*l<Yz3`XvM$}+_$+b;zQ52m(%Kwb$B#?B_^v#3H>M$MQ
zFlG@ahSu)(TZObspi|b%Zj8C=P=JXMD@b_6EaLQ9EI<-@wQ7X~v1q{1ESpzR4<5On
z4N1PtB8AS4Ti%|(tpRb%H80)02<Z8Gj7MOO6mq$}9(50|3F6;<EtaXp(df<-`#lC}
zbhJ9aICkGFu44|x^!eiGA7#WR=2Ozh$h)(a-b)KS!`Do0q>0GJM_%AfhBOi&4w^~t
z-$nlPgKo1YM6@w4-aT0=jh?10-i~;q4g8N>cHAUL=-3vmNJ6SKy4}lIEW7VZvh2(P
zxHJ;V7R;*JvXw@OV!0Qn40M65Q+|7AfrMtMK-_&lN3L)urzP(D*tsM}ohhmPcUc(G
z*K?IZGt~2miVyT4qPIb1)<FWn{AK#X<&tPUz0=C|us)=O)Y>QdNucXdzUlY-B+wz9
zEw-{*eTa%$JU_Xg2ReeR4QcziaiOxsXVV7*DwPowU@d_xA3moJMnok0@?c}lI0o4U
z6*lMjCHD7wdgywtIC}e)Q*%iW;8@B1<h%VObO}4h>gh>9+e}JwbO3<o@cnM*M?$4I
zjetMWcvP!?;--@$z_eBA+QrTNyk9r!*<BGutzCa=zq$j^USA$D_9LR+!wF{%!$pwE
zru-QW4}eGJ^WlL5;^?tu_@QN4A;h;d^gX}{ATo*l*0`KF`l3=iZ$Tk|UUAgrjv4{X
zUYQh#i6EfYX`3s}e|V8*Fs|E@1R$*KoqYZk9xWi!Xn_O|qAFt+9;N_jRbAsvX2Bz>
zO|7@yF*qb_oSdxr5QC>VrCt?wVraJDQ0E6OE_A+oIM%}i1F5*c5}Q0xR9YZq!7;*t
zzB}vETMp~PT={BvX|D*%>~F9Zf5(o@i>yLsJoMp^UGAlmzQX9|tnoJ2HXGtme0KZC
zS3RibJ^oLVUkH_Mdf1y-v!U-(iaC^idazmIu1h;EfO;By{p^ca(Yn)bf$)9)->Nf+
zpsM9ZRBJyD(X6o`0oHKq1Rq^6WIC<=b)WO)2{XG?DJ<yoZ(9!KFFLR`Vpp<#j~AJ{
z>%92tw_mS&%V_PX1FnuOZ)jV2(5vnYp}LzaD6;iFZ_b=Hv?;CoCjR6`?DV;mi(@Qk
zBbIWc+EW|;8FV-|>2M>$T(ed2X;#!WV>N~Qss(m@CK1v1_TQ_H?bHAx8}j0Ik2AiY
z1#9o)uRYo4EmPa>J(Vyvq)!r3y0@(fP9GzMrfaznU%36H@V{&*?m;tOY^)}jo}!T`
zJH>^12D@mYGuTmO`R@#KZcRwubbk>>;6j~Rymx$cI8Y0t^qfwW2Hfc0k{|oaiJn9(
z8)R&7pk=SW&mJ3Vfcx&_!|;O>Jv)8zdv+Tq`kvyZzB;20>TDNXr8YRxJ3Q8k<#M5y
zLFXA9;?$w|DBlZVRxY$d9Uu_7KX>(E^H~)Ib=cetJNjIo3(1~lb~_WrjSTZ2bAFlF
z=WXV|n}i!&=<&T|CeCCY)Oe+3>O;C3M0)tm9vS6AOS>Mo8uz_Bm^QH8-C7N5^)f<V
znBb7ZAxpFCBYcSWUP2HPyBeg^uMFMk#GwfFd%u(T1or(QaM^N96=)x>3|BgEBis*>
zk!fE+G$3`7`Ej)>w8;PE>)z!?6c*wSPQDRBa}OV|_1sj2k1p@<jn8;cT1bLL6^Ni5
zndHYB{;HtSq7rHz!HaU1npZj9MUe;cudF)0U%$zprMUm^>S+lT_m>evuijl49JW^l
zqcayPIW72+NoXTw^{yE5TcXjt=Bx_YbyJ3yEd)@#kNJ&>_xpFl_1@CeR~2gC9jbbK
zToA3ib$HYAh=9Cmw-&Yc`}rRL0RR6Kn0Gi8{ujrs>~URt?{zQYx?I~a<ExCKM5WR&
ziiV7gq9mlGY+1>QtSGH}P>PU}RFqMQNMw|i-~Ijjc|Om1KIeJPdB5K8Pv?K?_Fp1p
z(Dtx8ttwF&6{BRkKh#q}HT?MUT%|0YR@n9FuAd4PzKsl?{z(O?N|{f`f5@R5&!&3+
zO{y6CJ(yjRrVopYM-RTpl1F~-VZwsE8d{XPdVap54{Vn!RrstG@ZJEA82g+W`c=H0
zOZlr0K29b>HNO<Ftd}+TbCWveFnuxKeB1!coyh?*d5Y-ot*O7`xCZuSZ3!7#G60*o
zlDFZTmGJ%t8<%-u62`tvTYh|%2AZj##>@XI;hXJ>uFM4_?7nAU^owQ)U6fHF*8*h>
zHqs|F@saW7GJi4Cq#-a>DmZ)q75sT#>txtYGNvgkC9aeiL7DruwCH{nRE$<#UXCW?
z5J_TSZ;&z6eV)GOy-yW6Dw<vMPLpx`vM*|yn1HL)FkTx_#eG+#L(3e<n7(?x=L@GP
zz*P7~8*4Ruy;bIT;tvw;Sh-za@zxZ4r8^=z($w&t=$2IR-6Sl%U8ColZ3ctqTz0?e
zQA2)P>*bmv4ZL-4b<>QyIpp4aUFi2)4cp#XPdPkMM?Z^gF8Zt%a9Q=AsPU2-h7U*;
z`P@~*{Rsh~5qTD1x0{DK_Ny8?bR6~?OjN~%^_2TIL;y;#-&bA6z5W^{@p5|=TpzsB
z@9O|i=Qqaj%U2Ea%38U@7nG1f>6>_d5@02G+dMy;8vb}Fb8B;!BG#~*Jey1b7$!Y4
zNQhU(tLBb{+@=aRE;TyZUhx0=rbWXGD)=_JEWx-#4wH_yls&u&u%u!v#=cbr-?-iz
z0s|SG{b^ToEF0is6Yq9fzB1bS%SCT~E{UJ*bAJuS0T9Y>#}5uG;a4H=P>l=XxOwFL
zH|4_sPoH?K9+FhTkiT*7Y2l)Hr{+a}f(1aDKT%iDSrN}@*{j7C3!__#Zru(7z}T)&
z=|QmyX!?Ce@jRChE<7k{yxm{{ANCl`bKaB3HlNrN73G51GtAo`0v6!m9&c$hB!`vH
z{N?Oo2`IOGWPMAkIo#=Xc{sdF7CHXw7tc}@z$!zDCOt3*7Ns*jpMOYWn7u&BVhJC9
zI=lJ#<b5-s?o*p{yCj7+m66PviM&|D>Jho3Z3evSAr~H5OCl-JS;P4$53Yr;8&%yj
zg-g*6ax+8;q-|rr9k_)DIVztli-?<o?UawB`HC32ResGMmEpl32fBVsC7Zz7mE4$!
zHBof7|D_$T&4aQf<5!|sP2l6Pc3u%lQM7oucI!(R4~CRDy1$PwhR<oc^OamhFlbpm
z$?^{mUVM=b)r&^3&JjKlStN{EC%qOMi+Pdc<D7Ub*a*^(-EMB>6GqSFmj-H4d}z!$
zSaW*85C{UNZiJ)?Vf1o_r)d;FZsXY2BY)ZuzSZ9{THPpw13NZ9@G26(Qo{oGJ1mBv
z?cI0e&KMCl&n{&-o+4n>xQwFz6&gHlkJR~6M?{<ZsbnXTAl^K^iIyc#gN~X%f9KMP
zs1ubzdHqWeSI+%mj%hT2QD@@_>#IZz>*gQ4{fvkfFRDHLTn*s6s}HkPArZO#SdV?b
zErfT+g0|$%>O*hb<-lWYL~JRPeBQw5FZhet{o@(>;Ix?{u%Af?$u`Wnhbu&IsV26=
z)LI`79!_w2>?DNo|GKjGw~Au+kGP<H3sg8`ob6*$D}>dPddy<eVmRI2SLk?$3Vi42
z%%y6=cxxXeeV!zNe?zz5J`qTT2D^)bA8UoN@!!M7J*Oox-Z;kI(|`&RP#*NaSp<I%
zywlDfl)~#x?8VpEso>8#QKru<id<)JU+;I7!DA<`ia#0B1Bb#_H%;0^vFahu=a~<(
zSjp+0AK#(}ZPjy1_w&T?g@0tYjj=p_`}(oHvRV&93(5tO62(#Y*LkiWf&!BDZKeN~
z>Os3;#NIOr5;*Q%!#p^xfG0n1xdxSbuwZIh0XdTB7;!MI^sOS!hAE33eyj%<CG@nM
z=~AdH_K776m2foUZ|c@TJ)nq?Lx0apV`1g!fN-rc#vNnX|AUJP*?|t#BokS*lDHNj
zP^^MZ|Dut96BU;Fo_7?a$YIzOhZLp^Rs4SM(ER1=R2Z8+!t*j*9@j(@7T#Y_!#L-&
zzoqA>V0h%ep$Q!Ybl(0Tcr{2J58N_4XzrsA{c*FoTc#9nXiDA7(n$j?+1EFkjOl~L
zeA=<i6^f{1C@ub1nuPD2yx(z!8vtSTulP@2B{aEes=M}%gbJ}7X~wcN@GNlZ{Hmgi
z8r5!f{UKz$QA`gW?WKXwu7#1z&&qiDsz=?}A{n3V`J#F;(-3+LSnX6&RB-O$*x3wM
zP5kN@x+Lsx1Yi9M@_cCw-Am?<xgVp6c9#z&ciI|5-p%%>qOVo4+v{y*OROdelszLj
zsha@1Ny($vJJm3<f43ivQKvJL7Fft<3NF#{jrQGYxGThjfAI$ym6go}w$7RYt4jEw
z7g-(iy4%|?IFm8&P14DXZZmjnZ9i-ksE!d^#>Sn`lF(i0gh*n6In?gWIA4EV9WBS~
zj#r-5K&y&C$$k4R;6i-e5ZeuP6m9G%`Q)yS#-#j~4;%m!yPvE$UQowdEH+#E*wyf`
z{4bi<R>t{`#NI#`b$qEzEE>pB!Sf?bU4~ZxeB9nfkyq7ldxH{LLRJ|Y8saQYJO<e9
z*?W<gq=w&C$+3hCMeNM2;l4Boke5XJ7QC*CE{#97iZbS~rQB^fc?uxCx=mu!E>$e8
z_8+NGlEYVF4|V?j1gH+P^Iv7mO{ApK{kNN>@zRFY#F`NR^JVW-yFW4f2W5KJI7<Rs
zRbLBCz5qC1TXK6h7lRj6Y3?WmF`T1ic@k~`?0RWF`CC&7{}mnMvG^{GQSCP>i$ejJ
zJBvGJ9TgF8JvVflCgSo)RlBYg!06p3ml;0=JgV4{PB0Wi=eU(cDm$Z2#`finiSigA
zpZ4rPya0M86$L0IT0roksI#oM9L7xC^SCX;hnh#|9z-S!P)rc}%+kcz+XtMLU1T22
zVNO3DaLgS3oKpKJr7DfS%hX=6axPpF{?jG&$qcTH*!2~cOX7I>i;VRoP8>|W^Y-Q@
z1}_2tR6wi0-n$9gNuWk25*~DLU{L?>q@%T_K(CYu(q0q8d*^dztGzgIEZw{Ryp$<e
zHMRIk_K2d{#T^50^f~bP9hTS^7fisc>upImT?Bg~{jc@AaNz#G_STbg#z3hmDT#h5
zjJ6LG8g|~|K&dMe`jI}ya9SsS1M9pHa=Dqs{?z2e=~eZU(|txTo;NX*V<?1GpX-Rq
zqnzkPxm26)XatM<deSO0iFmD(w;~R?FgnR$?9)?2nA&r1Plyl^uM(nYaZkCicuVg5
zq@^L8N)Y{}S|*4yGqqtslRPNXuXtlaD-BF;i%)%V7sT$9V`)3|_>f&(q;kJK4J>3M
zYu`!<B7gW&GD{9WLhqT|MsEy2WO-1Uv_!y9d_h_h1OjTb9#wAHYXEv@x92JUB%tWb
zLe={(1bot~mufJt4{AF;JQn{$z$#lKl{0OE$Ts^#_T43YxPRcC<q1(i^!xU5uW1tz
ze`(s9d?V>Y<c9&-#{UHIh~p87j7LH^_kD-*-EJ!625GvUyC#U5J03^sy%t7eHOXD+
zVO03fqP{70Mi56`{jRkC5kc2PGlgk&D%3XZ6=>W?#7yR&ic-2_$aBDWOnq1n5?sxH
z_I)Gbjn^6c6HyGE=6^<S&eMaj=JeI+GeXFdddBtpX9?WEoABQ1pdKJ^i7vmEFovqd
zKdg3>!Y7-2AJ|d#7=9p!bMv$?PSpNwtQ(R>N<>;@IIkZ38!9VnYZbvd56(`Nv$Dwj
z<od0wX$m-Mw7<-*62;an-1I+^@+g#KRTMTrf%K#IYzA(NA$#dQ34105bdubizuZd!
z-_HJ}3s1zc#jE`9Iffr!J@(>)$Oj4xOl{MO8k0a4$+5`6?}{k+*}b=Wk^&_WEwe%L
zQh2jXlCCtag#0slLo_};;A(l$^fpi$2g~KM9!@J`tQ5D6uely%e$wXdeI>*2&Be>-
zmQ*m}bl=BQXZ66dNj_TFN)9i~Yj?D7P{Z@<9pip)^}tm(4CVLBqt1!UW*R{qFSYXv
z>6tKiipd6J8VZ;j>tpazSOZONp6I>Sz~HsC*rnw~1?1beWc`Yt;j7nsefVtj;j>ds
ze(rNcZ1Rk;9r;Vb%cUJBo`2H^%M7+XrCCZC^IYZwa~ByUaZ~828wMcM8x)Z0uZ%w{
z&*wLs*ThT-C3%y>H2AQZMm<hb!Lq!;{e}`+IC=27OsbV3kTRWm{;sNE?2#ymr{}cr
z3CHVAR4pUOxX#3pd`}hK=9&#AA8X+*on6SMYz(FziRayY)R0-)dzPg|3*E7D-B`&4
zLjTs5cro<0&sMA}J&95O+e(0_swrfzQDSPM)lof4(qTYM3){YyN_wc7!L_UQ`B~r8
zG2raGSHwe_*v|DV+FrpN$c3xJ%{m%rmeKX}T__p9#JifX@moMT^fmi?YG5*vmQHge
z;eVB6-_GwApz&}rD{G$y_D4SstoW;rwp9WPRc-*TmQ6;cwi@^$Xx^bYL=7W$ZrUkb
z3b4)@K!*()DE{hHXKkMfE~uWYi<kgtoiwh$QKXJl)BCy_<&|+fdq>e-NlR$6-m}p`
zP8~zrs%`i9D5686Qqc}$OV}0~(j^zIhWTFSnckPlqx9d$k(u_E@VQ%m>T!!I%13F^
zYZhgYi??0T%+3<Db*c8wvntpysdL1Xkr(oJ4~)c8Ex}G<y=W)D3NkI!m)pM<L&N({
zD{I1*V51mh63^gPPg=qllbi^$Tn?m%GTuq+@U%Ros)VwJ8Cvfei71k*+}>ReU@a4P
zIDw>yh3Q|JdU6OjNC{dRI0evf>{?WhwgN8idhbQd<-=+wdiic$fGwPUUEd7kF;I%N
zK0cirNB9C~-n_DakNYlu=}nTwIsrq^4RV}}c~A|0p>F}U1-dTZ9!Vq7?X<ccnH}|m
zsyF^iH;3>-&F#7yq%ip0-NT;MY?!%WK==3pgZql+v*U*)aN9L&C8K;+bZho$!L1CA
zT+e>D`@0yL7dOV0PO~s_Sv;RnjVX}){soD}iDIM8)>6S#7L*8iU^2vS3VjpZ`ZJay
zIN~h3(h<#qdm<7mqJm7|mYh>8MOGLqs#soI-e$qgth`66-x!0cjZo-a35HLeJenmT
zz=~{?vsZo?8Uv?>!1}Bn5uM!{<S92<G4;xs)r&<&U_{PwS3V+$8^%AX7VcxiU9Q#x
zuLO)>(7@x__GSWBoL+faWV-?H<kN31oHYaq7Ft3Wg@A28YUR&6vZL{+`#;r18vL{<
zY3Yv?z+L|Pg_4eO;O#fFrHMf_;9&{kS9!sYN6$so4AyaCP50|0o1X@7W0*C(+J+xv
zU4&MB1iA5dVS{B@kO8nI1{^sy!-s9%8_SxKcyPAxmW1P?J|yqrbxmpK!}4F+&U}h|
zc+J@Q{a6fx7k9V&26gjcs8-Q-LLWcAaq)!^qCRAL#E;xw<HJ+=dkto{67VoVH%6z7
z3O>?VDJt9f(W?Dk-8zFC=d6>nU973F<Gp6y`a6Csc(ulpv5km?DcLruuX-SM-#@tE
zi~#o8pBTP(R0x$=c218Z>VaNeKJR-q0y35Ql!aysGdQr>c%8=Z+f<2!#G3>x$}C&`
z^HBuvSBTYqV(4vcP{-6CiXc9C`%-+jju>t}sWHD;LIKYy<|F^T6GU%sCQ@sTILbQd
z@VxV*fKRFX-j-wrkIe4O=*miBe}WoKLZ1S5hqaSxcM4%1tD4T``%*Y(rv30F7X?}s
zwH;3x3!|lr!QP7jGFbLlHKzKzE)1%8BnRn;psc8X;6<7oRxc}^y3?ZzXIYNg|1%NA
zy=CDK9WKkG<-e5!0nc=S_kf-G@!ewR5%0NGB3S{$%<jrBx9LJ->N2ifXXN=?m4s4;
zZ#>QP>->dxx-jizWmGdNf$w8DeAud#P$l^)%hm;52>)-9>SZT|vqvbo9WRx!5QpTd
zl_{|GN7wsvbZN|-R$FBKt%4`-b?jU|NC9>`&AX0UWU(nVtWiit4aJvsKDzRN0{#NK
zwLGTfurFbFIL|>HXL7aU9x3TTpU{5xT|M%+d5t?I^rQwucVFpM7U{vF+bHkX8U>sZ
zt9qN9M#9GDML8~pRIsU`EAlel-S**O=R`RpM~GkfZZk%OiDv%h^0P{~VAHjyzFZSG
z*pw10%k|-a<i|wO0A-ZB)pBZcvKCH{$dY;E4B!rII7Z&4g068@;jx>w@mpM6vw8>(
zJX*oVN?#SvOqf6Y_*on69b+Yi8Tr~)B&OejPYvaZmv60@Y{USMgwFygM(}dS3BR&;
z3|*dI5YpMT5v@A5u3xA%h5+dskLj1xk^HdHd);s&#!kFW;QnX=9{D;#4I~Y0c(r||
zvr8MT-QQh4!D<FVR>AK++}6N|q=Mc+ac%r4>^V20Y7WvFfttfSB&?U|xLCsAo$npW
zO>r{|cs0NGvGgVqCT>0`e7KK{=_{9Wj>-W{4}E+1%#(yu$^B0KTS=IiH{n#D3ZUg9
z5UOrVLf;~pG>%+GzPt4H@bLuzk3ABSuQrfS_{*QeyC18f+6KCSkF6zqxn*(Z>J1HS
zqF$r7K2^r8bY6D;7)!7Sbm+gruYnxD4VLbsB6771TlSV(LTQ)F9id(7xagBx??IPG
z*)4BivdI#Xw&3dCL^Y&Jy{!M2ErU{q5!KH3E#Xl9m{&-iD&Eho?lGH^KsO`h&h%nS
zI5Cy}ukD5kUTv`>+&U+Un+#0Pw4JpCp}5PO^U2ECmKy1Bn6bad_q{%@;%o`OUOos;
z3RXg;6ZfdSH3U4KGkQgUXbA#W3s!ozD<Y8+JeFO^i=RFQb-sQH5ck_V^_r0a-ZWJS
z;?Cm4Q!}k9SE2!U!gJgS3i9ZiOq;z38*sQc&vc_EfO5%n>{A6<bRxb8Id_Q#e`g7*
z+^)2M&eqQxm&K&f{>aX+&4El9xh*e+zG@Cqb*IzzYe?cyd9%{K>NR?_d+g}z|IA@y
z;2ZU$JH=7)X;fBE;0oRRu;8YGOfyLT;wv0dA&LcFSHmY(m+00-UPoiTn}W{#!BZ15
z4Bep*`aUsTqH{QBF@+eKLgMBP8NPRguw6PrpI>;1UU(=g(&&;2_?wr$ojyv$g2E89
z;(#T3cZtqE*DuEK)#Og}yn`T?=2osnY+R-%b-!?sG&hE-`N77^n+O=)MdoU9TA`nK
z$JX&C*9eZ9KRh7zk{{JUsV3&(DxFxKL@r)8gk|coyQnQ6M*793J@@}dCsug=SANJ4
zGBY)WRhN12%!7&@tRyCU{iJGO?lldbJg?ti`JEf>PiOd_HDpGs@qwc$mNYm=%;*o`
z;zl0kf4q<Pupl)x*gv7c02-a5{9f+n!Y<MGJ0o*gad*3b*Myb<gpyx1G>mZKP&+TT
z?KB%+77!|ZRG|;N$5l=}N#(=?-R(@9cCcgOkFrIgralZQ4{XFh#`#F!taU#JHu|aW
zVXC7t0;jR}=t)kznD4?C5yXY8F^Na>OsUZK;v)G*0Vfh_j%#Kp@ZgKR-bQ?#df@Tt
zruoA;#(kM*AM$_kVyf8a(crxdU8)!3^E|?ZgL2fE$pL<Jq>F{KEmJ_pyJcjY(bp;V
zk%tMv1hl*(_U=z61<qxSj;eNYqeRIl%wH13lLrpOTsNZt&&v}O`Fb8~)U>@@f1il>
zdV8+cxGwBF_Q!xk=S3YoLI3SbLg>ocWUZ2=3zDIH8-^G>1^b5QCtXA^;M1v`X%}56
zI8fUu<{*IK_ek=^bWz+N@5xUf=z>qdd7hI82>8Hn^+|}mIP&&=dZf~?16afV>=`3(
zyS-{Se~__vI<1C;uO&KgvpVBDO_7L6(!YG3RZ5|%zM;3|Ssh5@A`2uc2w`tR>`Gmt
z3_du&Kfb|72ZW8XCu3;BSSt|_v3x-eG5oSq%T^t*`A_P>@BtAN;)!2dW$3#4MWR!X
zlMc)un7^=tG3PnclJ}qdR6yF$6#~D94um{YZV%%W$B@jAFC8S5@Z-R(pTy%jaOnHg
zw~{jwc*6bE-Kwq1_*lAwM<_=JD!J)~>jDfO?I;sHn5lyCal!3$Mqi4r-sxL5Nn^4`
zb&CGDDw2QvE%~gj3nR*&g|(+;G2(~dPCg5D96$7^)HFpGh)Et(ks9)-M{<cD&SdCW
zMk!ye00q7jIsRalSHR*H(%i)v5}r*{@yaQqKvkm}hrgU6UZ2z$t+dd@h(rIHukX@>
z373hIS`{T6?Os!@i`GK!XzkKdnpCLE>c4BIql_Y_&8wdlYh%|9$7h$t^+AzRo7!cf
zf}V-_et%0h;xO)S-y?4T`)UNtPui%Ws3O_uxw#I$D^}<7vZ6s)TH({{wraT9Hfl*X
zSqJCbgxDTM7((HQsKc_6I^H-(e%jWggS=9)C*5BdL1;Kz;-r)Y9^vy@N~Y^z0sWfM
zIYko?oW3%;XG{ar=;}6SvUTvDT3<KyoGDD_HUBe8AtAp@<;Fjobny7LQVqFLGlpNv
z<tP&U|395-q|N1x7<_1qS;D{qXm&-)+fS0wOF73dlcJ4%1tLMOi~+oh1-*HT$fz0a
z6~M;GYp$8?Mh_Tz`}5|b@wR+2o@PncT}dXPd3Zs2nS&*;ylA3|1&}dwz)`8tTOEG|
z{rnBJmf&1+v)Go6j87li{d~-=iail=Hz-V2aEVj!*^Z+m3}jM0cc4fKe|vevdg@!j
z(g3+=u3Q8CXq|Pj3|&{N?Ik^Tv4S+|6BSByb=+1m@<*gq276<T;`6py!J89bJ6P(~
zP`ZOoeZEx!H7kVVCM~RBf73L-*Ckaf>kX3(FcQInszp0baVt31xLRwuRRwFeEi2o_
z3nE|l^!J4!OR%~rwEF>%GNv9Nw*@Bg;sUpr`j;$A2$Q3B`O+0J{*`6;@Go{O%K36p
zlhN;n5J#f>Nd<)Tk&nEFEXXJ2)tx;9aP`#Ql2%Q5Jkxg2x2|TD&gyiVaD&0?j5^L3
z7?wfbfSx;fXBO$~W-Ny0jJ!k4@AR9EkwWihTg<QCouyy%lKSb8YXL$=Nxhsl66jw$
zcJ90V6g}B!=%0R{IoPf4yWmF>!{I=_6c79Fbdmcei#h`4kXrujKsrqXpVf_Dq=<Z_
zul?AbUF2v6do-IZz8(=mso2;{k9<byDV}W~&L^3I_xvPpRfixZ1#OMBof)C0eCG3u
zd}RWXhMxX0E(FwivHyPinNd19QcP}I%mnVty>G8v=0hd1h$m}9U+5GGC?Xs*hV>S)
zx?TA^Si-6qHv4UizAf7#Y`M`06izq24ol*~!s+(?Cr^yi-Jc2dRq`3ZZPS!_wuc<Z
z(LDd%_3$K}hda4c%FhsF|D&$-YOtfots0h;nrV88w!ObzI}JW9sC=yMWy6-INqt-7
zX6f?xEDS$s(cq%bewpyQtZ44~tYj1G9Q{z5=XK@`0|-bP7q)o8f)nQIUz(W~=#CfC
zAd$@gNX#BDU3plrtEc<zvdAC$CgJ8lpAdcMLDhbz)67T<kMha4TB4ilah;ExqJpk=
z-aic@GfMYlbYG2Mp;y*;WWPAX@TH{AL`n}6I->l$rf+NXHZ}Jl^D#XbZj9#?tz*J^
z_Wrg&T_&tqT>1X-upT@o>r0L_FyXLi-4dQ*#)82!TsNjE5aBC3`tJi1DqS5X`3<w+
zHH)~`#Bd6@{0IrA$uOfz>;C6$?rgZx^RrDgCk6N(+$pb$W=8KRCceng4QPE?oG6{E
z3xyBE(gxR<(Jg?+>6gHPXY<V7PUz{vujZ1s*Rxr0EoCQX*%mI`qdn|y)T0CRnmxTs
zZmigNr;Im=!h^n5ckWUd`fOWGmpP-whK^01C0QnXD8QoKO%T(8_xY|*#*{Z;k(ONZ
z<s$+}b_x3=bABTfd;G~WGG)iOn~@(Xz7mjEzWe&xS8dR5nt9zF%z<SEs?#iFB3j$0
zU5;_p2E}=SO!FR2%xR@E1ttmM#<^6>s~uVppY-9Ij|(@>TaroQoFXWtd%PE1wV>FJ
zOM1s29=xF}!cM&@iiXi*qy67B!T*8qN#Eyu=yq*1WM+>z&Ji{eK3viS>x{*E@m2vm
zcJb&{e=|vJ8%(j`w$+4x6_WSk7YVrKSWbF2NTaWzQ%IDcCj6*xSYuZv;^CPW&Bp$+
z_%*TUN!C0W<{$kL2nt~M(W+n2yIUS(Tg6S4XUP!9!%`#DEsSrkz1s9XTLJIbJSEz5
zYr@^?vRcnAqR5*Su1K3w#MJhxv$@uqaBCrv#rB67{to~E|Njh^cQ}@97{*cdUa!69
zYwyi_nkBR;6`Hau3Q<NwC4EGQLdw>l(m*|r5k*#{L_#UqWQKhHy^j01kMq8d>$-mD
zd76&dHGG>qxiwuOK`C1e|MX8kD9;rk%QQ{oW8W!|>p1v)_A064!L3*((<m`={_2Lk
zC$}q+d+240*}K)jy1LG;`m_XD9qjbS^0zV>oWvNot4afh?-hw;UY8=vD`#)LxS~Q{
z(~CB`@J$nk#~M;4zDtvLzxbv~Yp9Veg12H1W@tfHYuP%OO_tR6;NazKQ73CQ4X@7l
zY9lix#^#fm94TZII;43>lk`jbRB_r(2l^QYo}UbnCtLiQ7qgFPks9osAvQs}cwZdh
zcKewEnd;rx&MBr%c0@koEP9{^IiHf2tXW0UDyEn*@V+*w^7(sI4!Z&LS&X(dXeg5o
z@*Z^`#dJs;=O~*~v4$`%tTOQ0OC`^-J4uTl&>^{!HY#jaFvegt76*e=$ef#*BdI5K
z$WfE(E9xIjAT~Hl$8lVh96o!^zIuxe`QV|c<AVe<EGDX?xo%J+mp4*k){SeEE@7$u
z2OTZouu!Rec1n#rQQ9PZ(n*_Kn0LG7v_u0}LTku?r#fl4b@R@XYwyZPzGm>b9^fi^
zI<PTYorH68$9Sm*+0}UeFlU4%cF(Y6ZoREeDjeYSZ<SXgy|cZ8?M1CHWpHcwx3fB_
zKKCraWHXig9+$r9W2zPE&dqI4ZdN13erx-5Y*ZwVTaNxM_+y2Eh>zjktZL-@jcwNk
zwB$(HAg}gpHEV3^9LViqS0$Uf(xRGVq{)R1`otM)YZz&Gd~*FtCB=>zyzDzFN=Ak*
zTu3vqM#Daq#L^gLlBuTg`_ilcNj5Q5CJS04KYB$nj8}==JZw0=fsKdch{{&$_-qA_
zdtWyNT~Z)<BxY(0e3{AESq^u`D^~bdn31<KB}XpiJc@8xStVvo=+9TFSV1@PcG4qP
zSu(WZwQ^+AAEKIfn$x`65}Wo8nRC=hlNsWnuKy+m2!E%9ouWG|!E@Ss@mZK8=_OqK
zh9~$ru`|Cnz_|~YuF?@QyCO!;9U4n`^5_GNIfpC8#t(4yWxuLP2$L(L)Aqxj1GLiA
z-YSPF8U$XXxP6eJkb&tFm5$^PE&Ngfk1r<;4gpR6hoAD3if$oikM@qz#Iz3Xx~gG;
z44UV$z))WDNcqLR?phPHn%YYP_npmA?)7razK4sv$8zm0g=3QTJ^n_3%Xu?wFI->~
zqOy~0tG#h@!xOZ~7yBw-JU7Lquffb!?aU<8N0VyXv2j{ea%E@3v<WEpEljU`T2E^4
zzaC+`Z;Zz9>sOqIo(WQK_3#g9Fp$^A_SIB*j?ntgdJF2GF-GsTnDO)ZtHhO6o8)|*
z-?ZJ@ul}sQGlF!xcX4Cn5`l+{#))5l()`+ubpj=fplZDm!1iUHuyzlAE*$ZL)~Wll
zpB8Kg0rLmpe+p*^v(<RBfARygeW^KlG93munh_-U;`<blvhc<~y7C*X;cfEdM*{<}
zE`=m{EQ}M*56vf74tLX5thVlu$<#;gTZMl=+J=cc0xSP2HhrR9b~>}GnN=SP1@^wp
z_(eR6YrVB_s-4zW{CM^LX+4;fj87-&{ve7)5*xoXx6oQ7l2sDNbfJ8EaDz*FKQUcN
zyTEAnj;7nfI_h#n7bXg1WnNP+;q#MyL{q(nHd<mj_Nh+?{M-Dr3WU1}wal2~-Z~XD
zU!B(O84n$_9Z^qKS^Y%(3}q^t`dvb+A{a*F2edKoQ#ZQT|05wUCi+M;JA)=uxHsUM
zmo}>B)a{41wG(f1*qc`xf{8;COCjx3S{Q$}o1rG7jVRaUoV542N2I@xy=5Pv1!I>j
zTvOJqM9$V9A9sb966u`(m3-#ZLb=7GUB!XT#NYe($MuI_5Yv}poIXMmgnj>^^}pW}
zGu^&aK6aA0kn+2(!&d{J9hijqyBi6oU$^P>;%W$L=`*KGx7Bg9`2B%Lrj5iee)`Sr
z>+6YNExO4!AJkwtG3_r(*GN<hL~*Y~H4rK~rK-MMYB2HH!S!0IkqEC)E55?fOnm-f
z+_im+DqNcP>dquJ5}Z+r(`j9;#LX8P5_^(Wu;Xr|X6LT=M4WS;!XEMi@#Jouhesb3
zR;fB({9aAOZ%VZEak7Ij?>}#ErA0-^`GZ_7)y+h8=6~~p-#Ur1k=)wv7nIR3%4u4y
z+e(Dm?eLkG?;;GZJFQdfRl@D>k{zL{ZNwH^-F*rv-NfaksMt|cC3wu34V}0DKuE|w
zj@V?<OK>ztT8U>W!n=@?emuUN_;!_+xjU|pIK55m+O749_&ahz-+i@%pv;U!CyNgd
z;}q^g+m9*0aZqLJzgwL|%ayEa0w2B;BHsC@ReI&|u}su8)$21s^=7{1TRKPt(e?*&
zZ<B`s<=qul?=Qrkx+m*y6TgV6;$+H1y&Ue=n&@<9_YgFV8V*^8VWQ*TK=w;3Is9$^
zaeylPjo1^?m(CbDO00+nNFJ<`h4d`z()3Ut5zEK1Yt(Flh%A@-)N3t^>eMc-FFpfA
zJtODy6qzaF-OuMgs0}g*zkO8iir^1|m+4~cpZC)Q*O?F9mOEvTs<lGsjSUhDb|EWl
zxidrsx$~aNfHWq~n{K~8_ls~A&-48BaE?$C3pz6%B#mg}g8%vqhKZWaJ##%13&arn
zjSX3>(lCtOvv>8$D3Lo_Q)(2jMBL~kl}hZSFen#Waq8p*aaNNzzC`OEQR?0#5OGct
zJgncSwX`WBZjpKW!7Ms5s=GgtyIuk+&f2ZH<I}|7)a`foZ)G4&Za5~63P|9$a(TeM
z#u;Kl`{vM)=6Z53Lw!rFpE$e^vuzmoGDqlt&KYF2W+Jz*%w7y_5yNBptL7E5i^QNn
zc-_u;7Bc-p4!4|z81im<2GAES5iTblbq<QMlQ-+A-<8Tm(eTz+B=F=vqISUOlkX@e
z8L)ikfR(K%p1#huG_Rv0mrma}n{ttdOdYFbPU{!J*O5-~yJr~4r=QIDF3|W$nYQ6O
z9oI!*KvqwGJFuSg*=KKLq%1(XWXh<Sxr(4vfag_b7!$eegq(qv4TWsnAEw%Ax>mRI
zWp91YLfUtU6ieR}Cg03_;!3a(!Ok>>yt8iXWLz_UYoD?hX*p@@;CEC6{5M3m{L$ee
zvy1;z+q5J>I_5AOdH!lm52tm_`$8V_P)7Oo^|8|A`pWA$)|*5@B=}phAL1iZSgv;!
znaYw+ww^UD5)wnXe|ztZjRNH2yCgM70eN!X#8)6*M;wRGRlF>BqmT_skCdkb6iF4&
zT#bQ332Y8p(Yl!{OjeyRX2>>ICbwUS7#EC}Le_BF*&bOjGUfR5z{xlja)fyxL~=<Q
z)wk~%Mt_nZAD*Ls611vDZep!{u@WYWZ?sDjdIzP+M9DuAeDRuOxu=cE%^mW%YW6$k
z<cthS`||39l!!LDIk5PLaH1k=>Pp)LvgJtcM|Dis{dLH7TAj+zt*HoqvD#vBM1d5}
zy^wmiLYF-8VVvXMNj3Bg*o!-vDUlVn)m_$edgS&I?c1h8T3{Ghc<CiYC7Ew&JM?oI
zkc?aZ8VZ=|;LtzOVjV_RGQ}iu*5r=?d1K(sd{vGf=(C+y{_9sG|0Z88ITCM3x-5Ni
zGTUs3$L^!O#km^fUE$arj4g(w?QxgBEvhEiqa$6XC9OqX=BV*KlVwO6O~USrvN<^E
zd%UAtw8*@^kLeGl4M;8RB!(agaQj4-{El7PWaU9-uU}RAq)$U<6MdW|9u?}p8Gfiu
z&MX)xIrHd|ZHC!43_q+O7|P>s*rH9g*?36lk7|=Y8S|pYIBl>f#$^2Ti8d+Dcv>^G
zM}u@J3>%tXvcYEY6RjM3waJ36`rrTjsiaxl*u8}uTWrvK)$d-fMUEHgSw8wGN3xJU
zyRI|Zp=R~G6Zf(vSr_}8vE->Z$@O6IkAt)wYV9U|b8~5sueTP_xKHqrIW3uPPnT`s
z6W*?D^;wmaWqf%2eGmhwp?@OgRjw^w+I9|=9HWv?i;Lnd96E@W*WYNrlx&f5plnF&
zw<4)9v;Jwg?=0=pO*7-fcpDr%;x`ntOP<tXk?q{+$_Rr~1@ra4tg*2n@0DGn49Wc3
z;K{R8PS^)1gvJ?LqhS1g68}9(l85=x$+2Eu@GkzBTX@w9CO_XaTpbc2C6$VQuj3T}
z#~0bOwgF36550ZaeNvE24}P^l_?jT-4254#Sz6+Tt?b3STY1U*u}e}@VHBLJ^eRg&
z0-FBLGMUn`ldO6xMpsuTNZl#)a)$&k!gAJAnq@s{qae|HRYwRu%Ll?l^k^u4PG#`*
zSt58i=ezc<)s^<jPF;irG{P&9vpPYT-e+dH!y|+;O@rWQcXI>?Tqrm`*-6wrkUi4f
zL%}5z|6QSRW*8!`9(q;XNJ}J#=S1#NF!Ih(_sd&TSf4VF?)Cpgi}0bECi+oee^z!u
zm(LUvWPRdekv}xK*HMS{K*7QM{a4M8n&3cV27O5RBJIs~`U~=M6x=SnXZ@|t7%wW1
z8QDKxrR~;TT9y)_AR{ftQAf)d`R|RDF2pgQNcpK&t2_n4PkzWn+%<xNB&&N810#AR
z|MYQeq+p-DMzP+Se`9#{a-_zV8S9=8H1k}bpt(Y#YAnkTTeEvqUwW`Ya`4%=yIm9n
zJg{FlsA33W>&VnbS9Z*#8&~Mt3qh1e=#_7!0Vr07L!(VNA=%d!x%xo}PMgzs|2i9>
zKOr#fF&j6Yt1o?I3lRnrYsPP(d3{{+k@7S1;(_73si&2`2o|56k{Zm?N0i;2%Re^q
z;&KGt=@3p)l=+^XNZzUsE35436)GQQK1R75UKNFWTVel+H6Q3l9p@S4<j4EDp^hRp
zaePW2UEkiIhn>p{bxm{pSk4GL)S@8)J8AZP3dwqKPFiV-`YC{+poMo@zLF4lcg6Lm
zmmX>)552$FD~RgA?AqnmQurxUY@K7LhtCIeR#W;Ycz&{=CE<oNY)l=US2XmH^Fnf4
z_?QrScC~~{u5nj5tiUHzRu6>a{c24n5is^>PFhRIqLs0T!E&w6Q&-R9q$&!nwx<XB
z#$_S7|D8+0+C5Fex;LcU#K6?Q`0mP@Z#a7El5NIDJzT%f?wNH<9Ct=8rAFn-gYM7E
z`k~``*eqc%?)g&!p9*-B@5LzKz$?{4#{xZUV-b`oFq1;#ocWK#UW&MsZeSBOp@(-H
zmi-epOT)YEfJW5@C3JXDc$qioBfhmdnt7cJ4BWCqOk|Xyd^L8#{gFO~rkU<0mdhaf
zSD@YJNoCw0w7c?D*#Pqsv_>*W7Gk@m)@wedqPB5M(8OZ{a7b2%w5!Qsbl5ZD_<j`x
zzF%CI?qmpw!zMkizOVV6#w_B}oC@w;J^rS7-VkBS#=c4^@~FAALj}iFksW`bL#f0F
z<$)#9ftCswnaD~Fd!vfmEdIYrPa5OU-adx60}A-{wo}o6Mir{&`SycWCWt$A!cRFw
z5z~Dy5=Q4$k)oe1oiAhx+WLbr=av+q`{dum%lE3dryIrOJYfol*V-Ff{FFe7n`Jd0
zSH*_B?Yny3m|^d0r=Qwym2htBEr-nSDkwY1<^MIs9Iw;^97Nfb;X8G{*-lXfjW2J<
zb-7tUc#mt&QC($xRS)6IGo`|vtNfl9g@(xQl}49o%Gf)+bY!ctG7?x^LINvkIC1Uz
z!z2x5bUQe*9+_4Ick$m*9YtVQ{aq0^I%T|`bXv8_RzS-_t;Ev<z*$DszOXVS9JC}t
z<jv(V5q;mfG9IvTOFLz~MF~TdUyF;HWl?;Sd4PNbl-Y6c5-p1O=Si;jbe943W()np
zDnL}eD=*$y5p$zzqwj~L;F6tZ-unh%E&H{vEnWfjJ$?HsHP`y+$jArwS3ppyywluA
zdAy+VNLOTt!ai<GuUP?L>sOw6hg%-vtqr2P%!E;()^GUWGO#n&zwIpK&@a`P9K=Tf
z$Cj>*FFXKuj{0;3KUt)cb*%^F1u*=Ft+7@E7^cp!{7aUBvDo#mk|+5vyWivb(Qz82
zjx~Q*sFKFE=yHQ1dS0BFl#$FoNyE(&CY8oMDOm3)9d1kE#&qEAqYtJnuwLhLmZPI2
zN-x+KQZhJkzb^7+hK~j6s_rCxeJhSqs?5PIE)JNmzdY*PYmSa+OO<!7Vi0vK$Zz}3
zhRKITcl@@PW9PAa?Ys1%P}>x7b^|{f%#P%}Fd@uvZTmZHuNH<>jF)=M4OVm;Rp0H=
zFvHub1x>XKA>3?f-KD#>7X|Kw$CzcABDB}fnJ$TfFjKkZIA2zLpJmMv;Wb5>J{Poe
z1aUG|RU+{*D{`DKE^uEo!On-83-zr6NIUd!OhkhX>ltk9vzCl;t>%ruC1C-Ssu*ql
z`k4*JO_^TWr;M?%|D@J(7(evRh%f{{WJj)fMy}Mf5p-OP!sF-p;Jf2eq)Raeii}nK
zp9dPjCHINL^=o`MobURy@;xWIMjW&(*5=M<gViHjGd_H)Y){JO;YQlwz`~hGLkLwK
zW*=wZ!?qKHhuckfkYOv4A;M{hq2Ub^t$n<h%XwWBy~2Y8v%T7*nFe6<C^NxFUhH}3
zdETg%7f%x8W*_JqAZx0nD&re3PPcHxu|MI1nicPZoHl*z-CdvLzRHUd>soKKJbuum
zB<96}^l>y}9W$pMA1p0-inWRauv|9q!BbQpza|Ir?a%UIqeH%e7a<5azCNM;dOdt7
zjg@Zv!iVsE-cx};DUb`F?VSwQ1Mlr&Wj9BDXbtl9{FD-g=X-%ZW<x#Px?md9+s2O%
z0nVH|{X`(Ua*)hf)P(|*wTOkU00QEk#TvaAMfJjm4LfUf;UQcz9V{#e*WGTm(=>7X
zrJ5dloT>|%NH+JYU4pQ>`*zQxwLD|;u1CxFq%JxRt!s>UNCBf+xBk9EQfOxsTrt_J
z3(>TR@Xe`0xZ1#!yWxs7{`-5dc-&DJ-+bsl4<!kMH*-bY*hdCaBhqCDH|ZiZN5@7k
zM+AGge6>1u$YPF63Xk5Yi|4DsUJvU<A$o;3RK!*ey*HOO!%r8%<}M#t{)r*2j!Y~x
zlZVl?Ykzv8F0L>MEgrLzzz5;+H)Tc&=wr;Sk9(_&p9~UjTCyb3QC2rNX`l#BmZd@#
zZarM$;SAcnUK%D>W;3Jplu*mD+%W2?2m8OX=1GJ!Tr2(V&a1EGaHX3$Gp%c!s*W9Z
zi;{ueQTaQzQdF3K=sK70qz}eTx=q@)vasx`J5;?+1#c-s8*RSo<L8TnOg#=c$nFp<
z)$LS)t$FHLQKSJ1DiWG>+vPCub0%RhK^3DaEfqF;hH&b;HFq~v9+%UaLR;0<a5_W!
z@93f-E+u!-XSpcgbpOgkOP(46c*D$lnvL*lVr+JfLlK><)w926)zBCpX_{7I45fya
z2-D|^$YBaRoGYk~`~P&Drf-=*mMgpZ<2EIHzT3CzL$406|E8K5u9-qou=Bh^mlEy?
zh;j{=siC{(#)@5}8H%gVRpr_%L+16Lx53(KVA-TY5dP-aW!FWa+)>89KJ5*=PO3ue
zU;T{24htNUE>OwqQpQwoj`N==6{JvVN>o&6s8Sd!mzq(AmfckH*S%D<1-tDb#%NI4
z@9xPyt_)d%U8`h`Gi?WJ10Fd7+hlD0-q$IEGiWEntDB10)AEL~;09o(s9;?Zp^O8<
zOtGmP3UFm=ZuV<h^RXJ|_$MjKxWnOb?7|5-n9EZBYRv)1-%*P0T~~s?;kBUNHW^gM
z+dr@1vc%;)Grs&OMQmPXON%y?#^FuBiTy&B5YOiiK4qeaAKcbzsV)+5N_80+=dr|9
zy0`ty#}x2jkoXtsEs8+as6DC6K)?O7`G7T!hr8Q2hdmJjtA@;;wr=3hpi4C0V>zT7
zM<i3s1+fs~BVt|xSkAa<h}6rXOC>n)8aqD>#7<jW2?v7bdPl;$WN?(ppj%6Z7jkYP
z*Z0wY-=i|d-$tczn$G=p;Sv|_W_7W|{-xn#Q04E)wZ1Jsuxfe7f&+!V`_At6r{N7h
z`^*+QNsRhc*R8H&!?S_H6L-5TaPeh|pmT~iF0W{8xoE|LA7}Mt<18&;$?@q*<FY7j
zIBMK{H^GGMv!lubdFIeL!gn?Cj0k4&Gk%7S3CY6ZGg9p4aQ90MA%uhx!av}!$(Iq|
z<Quy}kC~x?p`N*{g@Tfeu3ky<jQFY%<~q<}3c8u@P_tY?==)U*9Fb#0g1vjBq?suO
zwYKtS-4p;d>W%1T4@UG@Q=h%bHNhlR{OjvNe%Q*U?;CGrggn1~))qb!#QtE<Q~%6|
zbn&LKl@m<Z;38Npdd?UrXJke!<@gZSV_>t<oEa>FtsFtKMi|wObfm`ef?uV?G)sd8
z=Z)J9Q~ivP6?!IWft?rUZY~bIwPHnlgQMoFUxp~QH*9^8&w~h#^*en+*syEUbfMr;
zLsW5lB4{5E78d2rryAJ7*{n`!88$%0v%(Z(Di7?(n#|9dapGm1?t0-M1F*Vj1*&uM
zK>k!?^SeeaP%SMqW#|mxmiz6|MP?pEO8LaanXU0fL&aJuQ6JV^gIf}Xc<`!e>u9_z
zFANec20K#qF%|V6C$V;pi7F;>T9^;6jt(5dZ}jlG<y`xXU>?vL(U&bq@*}q9Z=>a!
zZ+|9yQlq?<2M;tJRP-1K;DT>TSU!&)B;&I`O)K(3QDW{K^8rDGO-bzyBi8n3i`h}h
z3|@Tu?}xBwCIt~Q`Y#nv>7vxtMBhM(50|O@i-QwFh_$vnqokt?{ip*+Hof7)>#M^z
zy<J40b^B8#^SlnMN1pRWgz&@nHOGO9529%QWxw@stq#KI+s`mq2q2cuAuHmDI6U(9
z8;+&x;EVHdHC_=x7<j5JN^ncU;>hz3&u|_5n{}`K!9s!gw!GiZTBNY^Ms979rw)F4
z_Xn163ZcIelTq!`kiIo5SKy|D*m#4AWF=uNhg7?YHOOG_?b~&S4(K4Q8a_AI^xd-Y
z$eL@A1;d2#i|Ifelm{urB&3TX?n1WON{1Y3!+bI#l626@@{A(-M-0Q0TR-Lel*jr+
z%dbXj`d8|NE6;gIApB`&+m{subhFNtx-hNrMX5uxtXC2okuPpe2q_^g`d&KY8t-UL
zf1|Ij?U97|Cp#}_E5j%tWMyBCE_7s@?zk|^Ku@0WX}BE~o{}p~4p_@yZXZtBeU-ss
z=GPOG+f)##lFW4OgC5ddn@?mumqlcwv9-}=RXF6@$+?8-qi=ieE!`V(81^$yAJtQX
z_sg-}`GyAIl?m7LJ1!3nwj=Ibt7=$yzPkE~)et70XM4@<6>ui>?Jt8|b&S#Nxu!N@
z2*srv6WU^mXpl4eJs_n41&NEEPX~=qcK-VH69bAk_e++$<ERGQrNf`=3>)LS>J)2t
zx)N}m_9G@(1Dbc+rqUKn5ThDBA`N9Y#WRaPv(vy;-Az%;>}I$iv4QbVlQN7WugUgx
zsN-B~u<3nCb8MzRm#+ybK37`Hl2YoZJr}KXT*U$wOA<k%NmRT~d33K(Sq<-IR5@Fe
zY1o`Nlz5|tit)+pxMzP<@L1*Y%2QS#!e}1bTBulkkf~R3iHchtUsW^%0h76nlJsR%
zuy9SfFO4aIpY6HJ_C~<GkJ<IuNh;XR<%;HLD}t+^KR}D$65jS_C*ruMsM(S+BIF^D
zkFPvS;x<~MhOyAY>!LD7Hz_j7o|lE{?Z+j*d@P}ma>b9YM+q-?x~!uXNuwwxhztv}
z1oO6I{ecuEOlut-n|v*SeyxaI@}ZVsX$+m?UCSMdn;$tGbrr?IvvGp<M=a5@82+n!
zqXNEkW~9&S2w`v{g8I<f66G0B_x#u-kAQz&rKv6g7$0dD+b(DcpG=`}4I4RZk-ekC
z(#Q*OfoDz|dw|JDPkhcAul09VGIM|;H`w35vr10~eD2H|X==)Vso?70JU4bUO}=o~
z+7585{uGy^N<%f>Ds4`m1qzDB$E()^-S+Vu&d!pk7quV!n9GRQrVVd1kJ9j}hAxKL
zUmS694v99|>%gyLQLSIK#u2rM`4?-sD9ht@(N9qZ7<jc`aTm4#ed%qBr^CXyR9Bod
zww@kp8;{An2{6Z=9liCAE<&jH_{`C`jSe2iHVwX9%bR}c#-Ypof^d7=&wKdyDy{j<
zvu`v>Gth<UH=h4b0K(OByFb^g(l*+C9Th!o3a^p|9=3h_U@yoYW#^_tU-amko=y|A
zmjBpfwuui{#9|!Q1<@hDb2)g@&;%Xtx{JMc^Md<ml&c~WJye*2_;PL=LuR>5I^!Y_
z;whtrQq}aB&u1*sVl>8SYq||bv$?^X^z&|aHUsiMJ}V<n7=e4x;8yQ(E|^YNoC#R_
zhyMWp0RR6Cmv=msZy3hyy;t^L=ioTUvDbSUiPDtSBI-vfN{Whz2#L%}p@Bq2k&1L)
z4I>pz(v-?7Gkg8~`~2~I?)UTF&-J~&C!aW~9sFU23tJv%i-Ze<^SkY{$vQ3w#Xqsx
z<!Od8Z~fQ1ZVTbpckf;C<J>q>zVhweHd7>gOO}jO62kLV-TX->UL+-rB_3E~isu76
zFVEZ;#F4+k(Z6r=!F~6{>xXS7=<>DBZ96Uqg^r-tNu~n0;qW)1+|vZt+nUF94hf>T
z`?AE<_kxg~A6gmQZH)BMon;|eg2>^Xs@-))7`jHU-m8TfWBgLlQJ+tODDh~EJRB$r
zRSgTX8Gd7&%d@VZb`gT-8(r?Maxt9z&QzxtF=3H4bpF&gAt=imaalhU2fz0oR~{!O
z+Fa|dmR%4=|7|_%xK0T)?40d;{>KPHgGmR?j)~y5RUSK=kQ6fbXsbS+H^PF$xnFBf
zilRB_ZaMD;X%wxKEx54S2t18p!lj$VFxM72H+oYBlFtrwrtlfz-`m8Jy}aUh`XP8+
zQcV`ItTm4;TNv<L<T~TgC=QpXuS%si<nSQB|KExn2BZ_?*gs#8!0UZK<=?GWzy()t
z<KQ3$G+NEOV&f&D9AV~qOk4>Y%tBVjI5TkJHsjid6H*{Kvr1O~QO1gypX_@W3}h@;
zlD@gph+x|*=dfQDk+V^It+W}~8tovP-ynlMCIZG2ht<I0?NBSN%Yb>N)4oxDSy;C;
zXSAiMqkk`@+18u^xyL1z=Xb~<=ww*e>}?HbeUP%3_F^FGu5^Cp2YK9ixy(-En<hT(
zUwvLAi2+rmpxv21il`r&67-hVM#AdDCKWFj7}j{u`(r@~PRXj%GwXHW6r0NyuW5wh
zO$BFMDplZcB|$7FT^EN|TE&ZG7$JAnPNncVRSexRDtpmN!RMQz%@s0C$k(2IdEvSm
z5<Vo~wByyouOcU$t7Jm&Th)4xi|Tk#aLxEMLmyK-XEM(3GDdD?O49C34SXouHAt*5
zz(39IQ-T&IcvAfHmUN0H(tZjG%@Q=kMP7@$sAdYEi&bNDv06Agtn%rKgdqmIj2g7m
z&CqswLCY*m8{zF&bZ_4^#PM<`!Q<xUI3e-)%eu`v$U9u3^j?&X1-+8go!c!iWAHiM
zkEx5ZZkIDYYS3|Ezsx1KbCx(DNN!|K>Z13<9Sb!{I^6fkE@rn|p~ZFR^{&elBs*>1
z^JVG&ZTg`ZKC(8r@|<J;bA2jotTH@aj?v&*uX%yr%@&2HR05;3sL*HJ53KxdfTsn@
z8$zQAth`y^vGW}jfpry9T`~ILOgK)fT?xoUbkN-UsHpuN{&w4ED!z36`Sh>>*l}pg
z(f>6Sxv`}U*$cW*>_5#DLAL|)u2u-9P|;RqJeNPNjjrDz*1O{E;AmAmzFeM)kU{O{
zm9I6yY!cF&eqx6rBkNz0$0%6aUwv-zvN{evlAB5$u*2@p%5J+K>LT*&s7+3|Dmwl5
zze$?2Lw(58=B^GM^r<;o+$I$fxNB5dbIK02H|ljGKWZaN(vRa<n=G<ocXBv=x5H6c
z{)DwpwXm~7=*I+I8j(L7``6sFgCEDI!gB?h*nR)U(UL)NT-~Sg?Mt*BTn9HxgzndX
zYlqsru$l-CRX<iOu(pH1^q2k|LLJHtFWGb${Gjny?a&wo1ZoAQjYZWUwC>KSWBl9@
zxgJpY_##lRydylXSp`y|F}q(CutPz1|A%Bpz<Epa4zENd4AQ6rS}pU$j5_6h$QuIX
z<i4;9Uj^`eI=>K?IZgE4$@>*3OCa|8_9JUO<*-0ljs=HJ5cRv7eTc2L2o}21m=>}O
zA3nCbUUvCMFv#PQH?G*g{=mImm&>GK-*>qtba<3V(LZr$vd<be+w+Dim-2{xMJ0c~
z^C-c4Mm}D|*cx?zH+ZRKO5loyfRm5uC~?hX<BFW)RydfScIm9GI9etd#~TYqi8>z)
z&%Ln(KY1*e5D`OW*So~}kTK$iZ>dG1t|fBkbffFoMR4`HwNrT3KO!mM!=i7j1yUZY
z+BZlMLWZZyDgVWB!pq^qri<Ur@yoJkh?On?tCIfpd_|MQ`YPTt_73LY7fQ6LHsJ?X
zj<9il<TP<c)q~hrYKBcV%<?r7eArBtvVIahODJ55(0?UuhQ?st%L<yjc%LPpWKcR!
z3_i1+DT_Bn7e&{wGk^!`ch|UWpI#)2w@s<`Pn+O`NM>GaCpX%|{FYmqvLob5?&g!B
zCWw3gcJ;=?+=yS*HPCyU11^Vt*TfGQV{XAy<f|PwBJ2{ro%qfP)?TByfqhGSIqi6u
z(})|ZIy~Gqx^bh5^Ud&+2`1iJwXv}|bL0417N@{x9wg3gm{K{;M9j-+T3{?UUisHN
ztB&MD++3~1GBGB&FMdv-eCI}s-+|0JGXdOsu~EJ0su5beynK>;c~D{<mC-CJglMk$
z!<(#)z;VoHTAh;@lpPK6&v-?^`Y%9q@goB&H%AwLHu7RyM-+dMxEOA|3i&n?$$;fS
zw-k|bJ`59+@|s5CDDwG}d{m2p9G8K+dJp*F_o^ZLRe%ImR;Mt=-qO)x<a|ZEM*x+~
z&N$O5N$k>Dl}0Agk?j3x{G){s9+g=n7|BV)%zcB;Hb*-4%VYnSJHpVp_hr+Cb25;<
zb(w1`FCA|*bobqK69w1vJXL#RSy*lPukU%GA$<P|jB%%l;V!9B*!@=y!|Fv<5w3=~
zQCo9kI7u8`Uar5EH7Y=zeX=&0*AU(EWh&>ExJD4>z1H<gAlRk)ggR*8<G&xt@k|m5
zV`D9wzo;N<DwfxSq%CpQp@q&Xjcu~6CpksbFnU&yD*S|oq{RfPgue{VXB`PYXRD4g
z+2g(j-85K#Wc@zyaT$)^-5op^tpTDV?K+R9Avh{Oz5E*_hjZHJ?wKv+RoJroS1pqa
zair!1^Z7CbT=TiKzJ#ug>hiR6-hy;2F0ZBbeN)8C=&7>K3p(Jwf6?1HkdEAm#T)sL
zmC+P1MfDM-pqek{Lc$k1hQdF8TkfL@3)hP`@)M}o>uB~;cP|4~qCU9~0@ZM%w6Xm5
ztR6(B{(V)HGs3}|1NXQi)p74IEs6**K&1KX4UTRjY^&e-wkJmeQV-u3?pgYNLuRnS
zObZiIjhyyD)tZo7WyAAh&JYbJ5@!S68N;UOY2}*_S`aAR6Ml5*zm`3r72cUOf!(9H
zqH|-~Sa3XbkZX#Llj$6B^Mo0S_I)l6;MGN}K~&EPCkC=FPJiyrGl%}>JNFnu6cpXP
zUw(CIZXWd<)^;&V>`r%$cb}yox{I@_GJt`dkwWIFXRM&zsovZ9l8U$~#Uckf1DATD
zuKkd<LH~crNzWqnz!$ddK*du!{*$e+3(B#Dg=3S>5q5p_`+dD$q)EpaTYFsP1XMUv
z=V%`K&>gFE>n)^V(|ftU<+lJoZxyXAhx8%FitBJI)`zWi<WYqccKGSK?Yy#&K9Z(Q
zyK1&j@!Z>EU~7{d1`~7)Vnp>3+rI6+*C!pkeew1*x1l|H3hN%8Pt=3$3T4+RGc644
z<a#t6VUJ&f;<ZUj^HW3x^9_>Jv8U;Z^VuSMu-^WDPjpkzvoVxMc`5HbEo;56-nGZ)
zCxy>6+jQ|he9udd8hI>^Z#^ehW{<!(($vzW{dj5bu=tHj2K@GcYrZGiBf)!XX4`6Q
zg#Ikwrp*$^A##7lz76&`Hn_#>_Mj$S?%FcQIVgxtTEfCHg7(O)Ii$ZVK?Cx+j2+K*
zaD&F%`J;M?Ywt3$qxBV*I2yTwi}rYtn65VJ3EyOg-jU50?W<HV^S%4Wx?2-O64#M0
z4<`UmmB{JsH<fY7>;9Q*t%Jl5XGcBmG$2l<zbaE$5kFKUm5xSt6KgMKd$?%<hKdF5
ztTZ`z6xe=vBlv-6U0>e0>kt7Ohl-+`=F9L*Xa9)V&=X>cQNHH#Ra@Af((yPZC=Gb8
zqg-h&APP(?iU!}>;IWG$y_;VWIR%`p%Rd*g%1oT)g7|Fkbv&$atFbs7pIzIU+<Kek
zQj_KR*v=X;mtIlFr9`o=>D2kupbA!4N|uOMj1|6?zIBz95klRw6{!l&08T)$zn56I
z*MB^{@u?*YHz$eZ1@c4w6kq6xhuK8ytMr^&VM}lu9HV;j@nT*2>dtqZ_lUC9As-{Q
zSYXRT%BEApToADq);iqujIdqP*tV;}9GOS=ta4D~1fi-p*`D4;a7<0y+QDxQyHoy8
z!V}o>J)%JI<dqMEQ0i+Tn*cMIKGZp6LS@5vyLV01^k>4|t>I5Yvng^p?howeULX!g
z7v*%<cM;e0i&Hx2rkKoeUBR<#j_??n^<6Ljiy&p%cdoi<0vXSHzhA}75EjGp@rH4|
z#DwtK!Z|?`sIA<&gK9NR{C@I#SY~d3XkMMS>SeSsPSE`xSP)ahmB&8&?<Wiqo7V|Z
zuS_zL%E#9JGhvdr8TrlEHgkkH7x$;m{{Ry~F-7+}g(it|cGXu3`^E@~;3lbsQ6rqL
zi8oArF+upM*S{X$GEQ(|;I8i>BNzntouWUUAQ(=gN7iheB<2LJ<sF-6p!#Cy=hFTO
zf?J-ODSL35$XEzovnG*&<WqLpIS!M=?iX>7N=s%5uO8XiW|^h_-*;2Ov}KZrxa8OJ
zaBiOPr;WZCDp}%1!qflu#!M0E-K;{o728t2EO&lvyVQU0(CTXarU}<eA%k(J*)f%t
zQ<z?1h<1zSWRuVt;>dh)H!;P5R6D=>ssl8n9MLU}E}tcoRi(U+9pl17`l%2v0~+qJ
z-wSI|m?y0KJG@ghc<@T`uW4|&0V)-gI^N!2AZk1rX_NiD@H@cuprlzJ&Ed*7_Byg*
zbEIK*R0lt@r8HapH1!cqRSj`p!H&857xU`Fg0MVX#v!_t7vUTKq&NM?fpcFBBJ@l}
z(D_%j%4(d7mVd7-Zx?dngr$H>s;3xY@0?^iw}*;qhbS{^PHqgH?lSmVE)H`(_2}tA
z3jR}ne!k-b5BQFKi%rm$go}IZs9zKX_x^U)o9gqS&iJj4`XecPsY~S%lB0lM(|wQA
z96z+1^sa3?EQ8alYUn{vbWvO!V9lIb@@T#e_mNGq$hJs$WO+;%^u2+SJ{lq*sz*<p
z+$j$aA$F0}Rl4})w)4gfh+*ir+Qy0tiqHu*d;Qix7fK0^B7Mo?Xiwj}^U<O*l1)^l
zdUbShP^0;a!>9zb->}_oZB_;Q98a{WjV{JAh}$_4Qc%vbJmRLWjt#plC%yLT!gAEu
zrcgx&LoHu77G2YTf6$iY3r)Ic-O#v=y>A&}#Yn0Dth8_@t?j9l3k6|Mw^>ZSmqSHF
zPIJI-ZQNO7xY~S@f}nM`<+t`IAS1qOdvLKX685#lr+=hkp(cMYP)QkA_BTrX4yR(=
zFRY?=LJ#F@gv)EJRI$b5NL0GJJ}QK@-e$QQp!}JB#n&Z|z4+L*foV=d`OiB0kvSUj
z0!n31HmW17s(*{h64xDj{$0;LOh>0wl!b-5CVE;9o@^SSqiMuG{%Jk~C-%nl?M=|a
zK`tfhvL*&RdshY33>ks1^54j=A#JoiUC%3a(g@beZmn(Dv(zUm)IC)_by358ElNj&
z35C=q=ao{X$a$2WuU$>S?9CTO2Q!x5=UO`h;~!?Y<oYS<DW@J(4XfWqJZHki`PTR3
zRtvO&cb%^3(msZ57R;_^B6{`ri~4V@P>}UAw9(!GPJ$g@we~S_uWa9^FQ08NAn`iy
zk1`E<RO80t*G6DRuj|uq1crCY_yjNYhFAIQp7(z-5Y%LP<mOMnca^KdF=a!1?0jea
zqJoa@-4BHOmwYX9#qeCXks(47T$N8o(BS`Wg4Z|R9-GecSY%AmP+k0W*AqQGu<dyC
zZj-tLLIY(3-1gCsKC?mIBu@td4UwXrISydFjCoLX(E!`Re#N{S(SYNlwE2K<4rtAY
zDjtZ_#|72}P3|?S(6uTSv0re&?vv*ef6$iR+27)pghDwKEUJ(F8Fv8n?9PQlB};qJ
z{>O0(LlPtY24>6_2e^Jzyl`<&2Vd1CoZr0?z?qxZYKP+-VA?b`9BZbHm4^EyEAFwO
zM9IqEPul_7pK@h8c4&e-@{-V6k6~g!VE%mieR~8Inr$^pQ-{=8sj}%}J)u%R?%hw=
zL-ku|bu&v9JJz^va}@i*lH@XpSs<7E_g96S-kcI_*UhAzX&GS+4CUR}N7&(|+-1%`
z1@a&sx-2a7nPSZ-WgecZ14PzG*!mn;2JRV!UTyh#7I(cKSGp|_de|w69w~*v#;vZY
zx@@Flg>q=`2?EL4`dpcH;&}W%^;MfLJNd3p|88rREiTV|rEc0U0+Ds^eZ4E#$yk%$
znP+d>AVGTi1!pHeEQ5}n`}dihY<5vOd8pMI3;rTKg}1rUx%^;zOXJe{##5QjGgkN@
zYSZ^?lpU8ZsL0)oXD1t;UjKf_zzRW$x2~+F%@bQ^AD=1GVJDAPw;Z+EWeNY_M`3>r
zmh!x+-PNd;jpW*1DYNs21$I;HeR|%F5It@V8RDzh$nZ<oGm9t8A?rms;;!9Kus=9T
zqp}uRqY2!L@hi-6KP$pM=XMuyI>v(AXkmdxWwx)$$Tvd=cV*s6?{|c9?O*m6TNYRi
zDVmf2&6=XR@aENu)>`7VslrjAAM>o&+QmvYwwj`FgvjocsA9S8c6_OjInSE*abJ{v
zW`cTQ>!1@!tt^S!^Q9FB=2<hAR)75&Citit_x5b$N0z!34TlouStCik8a`KyQC@bR
z8LZ#MB14&NzAxulMPQbETxJaC%=Ry<?S8Rjr|g}^TozbWSN7ZAOlQJZ$CN>e_OWhL
zFUm#CFR=2u>WXSanW$1M>J_^FhjlWzIoq&rk##w0OLK3!5&DAo{v?YGv&J$iZd;yY
zBl%M24{FL9VPsE79_mI|_(VMvV#ZD;<gVxOy}|%*>*d_gfHBs81LgA+9uCsaB;Px8
zsYknLhL#_e9A^a#oZXiGkApN>r#)Hwm=30b)4TPJ6Re+x@&bHZTx8nF{Pr(iOFnX~
zX6jbr6f1Gm@R*S)H#zZ>-<tEcAvTqi&x>uHVX>Cu*<1<_+49n%?SQ%=qVt1lKDf-W
z5?)>y&KKY#SHCP-Nd(Yv<NmVowHp^$tgfAxFWu%RbNLb#%Bl>YEHkgz12&S|B<kF!
z6N04jaV`@HL4zeOQ*AnTvy;;z(z;P6g~?G$cw}#oKCE6&U4ML&gKT-6Oz_l+lJ_OY
ze?EGr2hZo<`@;FT$g`FI+6tw_N$$-V&dx4+NFDby|9hO9j2~=x%M6qt3AF>ue444K
zo7NaIk>@23O%!_hf085}-!zR0dQfq$W&Uj9dp=TyKRhRHpEP;x$Cb6GhbeI48Fs-v
z0kSTd<I@yn8TrxZnSyUF1^T+aA3i-6B2SLb*3tyzNV9c~r(E1AcyRfy`pm2dxm=nD
z36csVQ_QGqy9NbXzvO}`m15-K(`PbmoR!G0et*SPc`2x;SJ=GgkRUBa`LoxSs*t0b
zdPjD0Qn1CdN$Y#CB&iTFomZ%&M%q*CSEMLVU=h;4Uw&GO<nEtY$A3(nq`$Rzzt@d|
zQI`X`%&Riwf#u7~Hcn`e78@)EL&_=eJz&jqHCUFky7c?|&v-2|Jt6f-g7K0^4t9S_
z+9FTxIubT$uct#2`fsx6y;LN$8-GaIt4M}iezoyuw=UVUeR=<`Ha%2@Mm{aPtW0*K
z(?+|?sALlJHCM`*KK`^Eem#0rm1K52_pgf5Cqo#*WpZ9iIj*^ONa>y$xlJqbW7~Qf
zX&3Tf(3FFY<0sN<&ai2a`}eKzv=pV2-PbM)XfD#B_D7ZHn!6_1Vy|vkIY1}B*gQHQ
zt7U}tGrirFceKc2@5gCl)eN%O-LZGmK_=?uxBdPqp+o+?zTQ1J(1;AY?)8uyGREwM
z6CpzTbV=hI@&3gVM&vyE#5=<bQ~b?}{?zf9LT=9+o+|KUl0wK!*7Pz*YTZGrat=LG
zz$G{1)Nv-6x<5T}ouws2c6@B-)Yd0|o?LXfwwp;-ov9DrOS4Abhx=0Z)eT7IT(ORm
zD3kPW_>thFV~ZSTF13<D15)%Mo7R`5dFb3y+1~^Jr@$i)n`3As$7JE>o(Kl{I=ag-
z@E^d;&TnpLrIEL8o>$rLNGB~RueJX++95f4^qF8gjU;XRL$yl{$RXjs2RfqcF+tf>
zAel)c=|<A+Rr{!<LQr9ff|vt(es>v;aMH-TvCPMM^V(!`sNkuFBM!JJbT#~+z5!XX
zD$y<_RD=8$-l4MTp#zFP*{JN1(kCBsSI#{8r9!T3<Ewo3-T@K+Ro_y6LM2mn+m3~q
z%aOeQT54pTJ0PLiV@J9Jh0NCZJVzClBoFo<eKDBlfZRKRf6OoIkpIc-_IN5FNTw=E
zE`0THz$@#@U*$boWLvPzDuF<DQeJ9>RO5_2UOW-n!LP1KUg|#Gopf}Rb-lbeeQlaO
zVvGDfyKYh^Lq*J_N+sU0n5XacCCk}ktSU)N^}H&{v0;__UHNuG>T@>9%Cm#R!Jahp
z7A11e_9H&$y#5dY@$*$4Dt4&JzH5+{EKe5SeRGC0@*m;uu=l`^OF&FHXV3bGWu$EB
z)6E)u)5NPf3qy0wrQVW|UG?d_6nQI0Vz;*H9C1Nn`Iw43f$!HGW{pP0NfC3+j<v!I
zgojVphSj@lai_{!;R}~28MR#F?>n(Yf<>#oR1<Fl?;K}gMwS2>lBnuU^<N}}OnO{O
zO0BUNbL@*m8V|Y6C8=G;c#*K<RNKJTVFd;2=GFU$IY{43KPt)=h=U>#0pY?{=r}A?
z&beceb?@%?=QF+Ygh?*<Y~e~veE9Wo(Et22>jB;QtqJcuv1KrNRx-^3M<mS(xI+K2
zdTmDNLGp8if3C&*)t%;0x;fKrRyV}Dy17sNn9(f3|D=!JrDqP|`;Ju{mwH%-2x25_
z^9=DiRrJQrI5WJE+4Xul_&ZD2v(>FJf0}44J02JH-4s$)%X()N-m!`=O}=}=F-_=*
zejIpjZ;J59s#nXB>siN~bhW)wrU=*VKMS-=P0-;-(eqEpCiFJE$1mF{;&!(l7emGb
z!Y;p4PQH6eVB~BLsW?UW<g2Q%5{wc2#s1OT+&6^DmNgY8bf$=)l&I7zvrOoh+)?fn
z>m*2*$kT4VQ$)>g(TvJ4CbndHEdLe$ov3;+F(}kDMTBhRwP+hL!jymOTCN-2M8Ij~
zgd;xF#9i%Y_dbOhAt1}<#<|Mh#Q3L&EeCXFh!p8pJ#~`|+_F0S)%ao`acG6O;H>H_
zVWOx%;upg}iDD<0SLh$&V=V9V#?^C#?xReFS|J98^4#)s?1l(+mA~@}x8@1^qo<zL
zT%_aM>%D&41xAS7*$tF+%NGe%H@BEgbUJL#ux|1n9VJBmvs!m2nGM@ZS6!l|8RCj-
z*ihl*7-2jVnqG8<9Yv)a8o!^?pfs||ec;46@%o;fJW<Vo9fzI>^t01oX(-qlr87xH
zf1Oc?pXbCXp*5oJP6lYKKbtzyJw<qU6n}mm$PF2*+}^br`sgL@R8KvcA!zlIN2_Ld
z&>=~Ull-j*bCEuCqHd08-kY%8vYHR&ch27&u+zhe)cUWb-3vs)8X~$ZUjS(<=hs^n
zQ^D<=eE-@7HpHdhaId&01o^$+)*Y3k;`|Qp5!P3Br1U&0T*)nphwPm)F3A*3T<^N}
z$A%MSI=f@~pNSzQFq_X$kb?ZQ9gf-$xu7lIP`IcgfvF~e?ptSd(P?n)YsMBH-2Kn(
zr+=9w#4ECBE9trj^F90_QJoKo9DYsrHb}!?tE?;WgATY-K0Zqm7l4_CuW6O)GB|B4
zU&)oCgEQ8Nwmt?zP>a~Ds3a?gNzHcGq76Dw2(dWZc~}G+?q3hTWu<_p&ZfN;`Z`#a
zygcYclo+xU^LRK?mC#2j{(P^fgCFWHwQ-%|NIXtyz00SH9KN-%($;}wSLTLUcS%UH
z2EP3CS3`sIx`tF&9sGQ_KX`CN3YQ*gywLcl4%Gmm5{WDwl%4)DOjO9A+&8x`Ay5;!
zVNc^q*mbd~)7|J?hAiT2%=UzcYa_Pc<<|CGUFgb}J+aS~hyJQ>UTfayz$;^=dh<>S
z3?2>M<Y-dFF`mAwo0oj$mFOW6t6fy&XB_+WNkIiVz40sU)AW{n*F|{q4L#U2E~W%N
zS4Hopbrw%!3}Er6;zhEl0rGXfO|O(yN2F}o#O5$V=-#ObVG}jPw0S_;g@YRC{u@R=
zP)<h!&&55;`E<+;eQw$IO%uBYO0<m5Gq5@^u)3s+fky`#egv%7M$?A91OI}JK$+to
zJnY6q`UOfZqd^CD2H}1K+Dx=x?agM686!3#Zr>BrrM?rmsn)WZiCHdDX`M%=_#XfO
z|NjhEcR1C56t?%g_U2xDU#>mA=Ncucq)-Y;Qbr|(X!xl#G*CwNETd>hirhmA?UG%x
zLu5pm`T6%epXWU1yytV?_q^;@VY20En(%WYx9e458ZhSM%wCn5Lf~1Nzy638#MHAK
z9Mz#g{hv$m#x>^PP&VpzLR1GbPO$80Vx|FmbSSH4mnF!gJgCwa)dfDbdpF!-4S`ho
z>xIICH5^yDFsbxa7l!WN9xtmhfX8Cgn>Wq^L^4HpllJPtMUl4r)-)>YSqc`p89|47
zzw~RxnR?*X#9Tn7=|gMxr#p@=Ht@YwJKE-w9_$mIa=cB}fsZQ1RRvtOaM9>#@=dZH
z1SIC_PoLL-ZMrfenMt-#;Sr<D9;gdY+@RD~r2>OOmu<S{Y~ha0daZQ-wfZZgBy0wh
zK*{CMlRkAj_>kPopQxw}4Qe?bHf)!Lx0S^<v-)=6R(9`Ac8(@|)N+2ed#4z<vVA)e
zOR|H?B-3KPS#=myeZ0J#O8}TviH{drY#}D{UplI(L4&8Ce!~C@P-NwZ^hjIqc{tVV
z=b!>^FMnrVdOkz6+a4S66|e>6MFEpa9||0KuPvDx(MYT=mP)PMw1MX*Y7AFTDS?IU
z>4)^Z0S5b2MPQ+b4QzZ8bm#F#1!z~R3Q>Cdo1xYaAbjf@9YUGk{?tbq5Fg-H-s7>v
z@a(n873QYHiC3BQ8@`f2de^<JFNg`xhcjHg&I2_1&)a^m6a#tT4GCu3Sdeu#*O8lj
z4X*4x%L2|M5angEmyTn_v#O!t%p?M~Un~yTVl4<V{$=w0=4|MGF5<ySiZv)7dUsl8
zI}aqQ{`l5=mJN@K47Yu@wt})lvF*`4?BG>UY33ZmhSPH>G~{auHYdNfZ0lf#VRxhG
z>`iP~zsvT<)<g>^Ngn*vaD17#8umPPe4Z8E8x#`~o6X_r!!vPzm*<FO7j4P-8>}eu
zp{z`V+Z>qgTpxaBG)2U6c&xjp!HT2z^aa4#4F3L|=pf4v6E)<hS5F&QaHiF)=W>=Q
zTuxuFFVove{FVci#XuI^YX6$`*l!cKb|%0xoaqITw7fBIQkezYC7URhH=Dq^bj{Zh
zaTSa)J7VXP-^@t(53L528-uH^_Jo)HXGZ5E)_`5z%=qzVR(rjeF?cwP#ynQ&VOZU}
z?jg~`j2(mP9X9@F1bf}c+_ca^hSaGL<%AVxye4e=uX&mVtNWsPc>G2g*Iu1G$YsHT
zf_t_F3i{K)&8HxxacP2aX@<xAR0<19zE{he>oo-OyTb#Vs?&_L%bHI=h_Is3aP59?
zZ$n7D{#7-E_M6cxMQ`l9&x&%NEl-*B8^D75L~=iMj=@nZS$Xy_8ww_p%#Iv10Lp^T
z^9a?y467pL!7tA2*fi1T#5zZX)-3lrlv-f4T6WJfxp83kHt){qb5sb9_rCCfw8Uso
zJG1j>G$(%539qq}q5>A>?b#u@!r*i9cl!K^3xC*B<oF-z!}lHeKkM~Z85!fcih@o&
z=sQql>bFH7yp>WW6&^4l@3{+cd!~7@BRPDqzh4jZHhi)<)X9v-yiayGHt-|iPTl%K
zUk^s9rXG%>YyVGjbz^3uAbx8(|8VG{E+}$!pL?*64MP*dIV@I%*7D42_5aj?IZ^4<
zJMY+$S;Mkj)|iAF?5j#bJ#^rP3G29}3n$(-4ai=9Sp;o-7#mNuYQwxe>vG~87v8c;
zdsVU`ikWn+Bq1+tcr4T4`~4XY7QSTRbW9Y-+dX*Y*qj!8wz$?2RLF-F&v>d093|0d
z=b?K#nOg9CktOd|l>k<#8Yu^>Nn>ir^KuS%E!b&yGGa7J2q$uGC5>pwV&86eR%sP2
z2oW<>UiU~C-F0ecK0D>nd||1wn_COQC&E`G*+lS?)w<!V9f~+Eyt13Zr3IWiml}AE
zh+@OtGpp1zC43MjXKF;zf)lN|X2tVjSgC7%HhP+jJ30U5HG65n<x`rI+p{Hb$VNSn
z?4^vZy|uc+3@vDO+Lxo@Cxw&($0V-rDww=_)8~<cHYij?lY1Ryu%7RL--e@VNYAs|
z^pZ&jBJz(*7dy+LR>;_nF;NYCmo;#tVq6Diw>5rWJ+6TEQQaqU>NRn>k({DL(t|NE
zYSpu^ib(!*Y}@tY+Bjcey?>j9J}6UPh?(<|k<T@KH;<|=D!NWSs1u|@F|&}$ne`M5
zd8U5W=d~UdPt|nX<T3!QGcA6P<CO6-U#idEQhijt*d^|!W(e2+wEBy*s^I$alcYOd
zR2(LkeLf#V12rDUg*tgPto4#wRQgNBiB)l9lXfEr92W`wuvZ<6dk$W92{J%m#kTCC
zeI{@<?`xe=ng%*}w`9gXHo%qxtD(b!W-t_F$g^0ZiI1O0`9;1q!0`gP&dZ<7Vc-d+
zDzIJ)&9a}~Qz$UNlOeY9_p>eGl8Ee|^SRpCqPaL2X=Q*JQ)A_thpZtx@i`-8s}3$Y
zils-~q~hdN#?~tm0M-XoLlj@@Ak)XP6G<id*x$)W9~cFAnwvE@$)<~8-yC!H^623s
zrsy9Nx9Pw)9JRx4MF;Idna96*Xk+f&7;Te-4X7kF2QfX+!Js%da~*FD{84N+&C_fH
z%Eh*W&5An6_960*C`}bd_Uh^KsM<ng!hgwp&f0i6)gW-<FBzXINE{`+Y{6eN->ceA
z3nQ-{I?{4o0Xf<qH54ATg@$#n6*@RHksj|VbvQ~24Mx6v{o`i~^K$C+)@*gmnW`R0
z>lVSm$pdPpmbM^2kZ$!uN(~*^d_0IWew+=|JWgA*fee=!lig=jkh+t7mv|i;e)1^3
zv`}CJi@uNgc)BRqT02;EA$XB-o$ncMAl(LD-I=f-Fd*Z3Mj|iwr=N_BM?+S#Ep!Md
zd#75Mpop>wIW8kE?-_|#{nb47&>>@;AM3FNIn?($_n;@^BO&j>LMvIrQ|Pg<lgErS
z(%)EU|MDIrc5JiVVSN<fek8BKaWP5s&HA{>O=p5QEEQvw^_PHnxl@&0{$dzi5TFsA
zGfkW|{MR5QNC1Cr>&lgJ5|a965+<+yCh|YlYKCcB1Ao-P!Vd*Pm}ut0|2K7(__TZ3
z{id@ONb@FaT2SQ2)4p{hj<d6b{TBV}U!yF+^8+pJ&TeijI`D(n?9D83*_-LEZ<z&b
z<5Z`gooC0>Le`1@=(EJ0*a8c#5p$T{8BR8zWWgl*`I~#feiNn=4YZ5u=D^xOF@J2%
zguj-AMfXR~5PuFHjf_8R1_CN-4?ByN7>izC{>g++6NBILf*Wg0p~)%sqFdl!#<y>K
z?{4>;BHq<ruWk`Eh4#v$A<^Z(8T=_s7b<T4A`Tu958iXY1SCb9M>ijsVsNL)5DMqV
ziP+G)+zPLZVUXu&QUd8GLpoWWe>r80D6xEhq)FWvW`wuqZQ~zi__nzEXSa?JdYXOx
zvhhYx+@YBEyQGidGVna~i0u#JNEc81z!D9<hz8I5lyx(b-ri419ULN<1Hwi|18LA8
zEsQLyUl{ib<@YB&8zkO!ky}~T^zO5F#iWYUd&Zfwa~bzv4iNrD7pK{G7{aMyeQ5)p
z2F4;={wp8$0Ybuu?aTWX1NgDWx9~PgCBt%)LuW=rKk-n0F3@tD0UYBvF3H52%HX1W
z=o6CfC(LJ-!}Z&!ko?MI^NGY9LdwNFeCKQ*!LuMCdVMz)L`6?Ie$jYLyqB`yqq5jX
zU^>IodRQNrPY5?9gd%Yx&nb4hZa)#Qn4_f{st>&h6w`_CFA4tpk2nP5`-!c0Y}@o$
z_2HPGd8)*p*Te~(tf@Bn0b;&!o%|JTJ?OmDNb>#gfk0|JQ*ze;k^V^OV(|`LsN>es
z@}++!uJW%BD|#_V*xgW-PQ0uGO<7Xqxrtwh2HBpOp{^k!QfqJ>xn3I{=FyrdLv6&U
zL6%Cf(huV6!<jnMRV^5b{r!r?rjtkrG9GWcHA0-fI(D^^t_4e!g7bq9x{2lTr9(sZ
zW5nm0i&AGUX+m!I=sU7i5AkvNLdk&oI6*#rE-0c+17`eL%;t~x5?pgEFaKNji|}~8
z+b>RC0}g1hIa&|&5pL6?)>pSq5x>24c?!;`L&NuM>&pQH1iR?qa!>9waiS(_@<F#6
zm^z{<S!jsxeRWM(LE<;@Zy2kJEY%=c-(@zcW0)}c_r@=)VwNaWV?2q@Qw5(rGH;xk
zMu<DlR=VU){~>}pOYfWTtAfSh?oYP{#|Rml6I<KE=ZRCzL$5!bQ~~if>#Um$CWwj@
z<EIyHFA}HwZandrRtABR9(q~TByp(KNH<b&g~*LAl==~%3=GdB;9@;Z)J?}r-mF?B
z!m2f_l1C|UMu400wtj}N5jZbL-Odd44@Y!w22()(Q;Gfc;8`N@o}-<}Zx)zODRq$j
zO9ltdL(?y8{t(hGzlh&8Y*5qj-0@^A8Q#8O%354EPxzM^eX*?MfNwh%6eMNIa8K~(
zBjYoRg!{|&@81k?ftZNO;X_qQu*al6eqm~vus><PZ^n@qmJgmM%kN(EC4IMUZOU6E
zx}Mazou1~0`EDVx2~H*GY*RQt;=~Lw6Ps4Q9TEb`h%lLtHHxr~`x)z=Nfy{#<0fRm
zOM=D7gN3tEics$|pL=?(zATIC$cRrO(6l|s^zAxDI3-@HaHWa^Vk>PahhK_;YWhzO
zX$3_%@uRn2ZG;Ps?N}YA{FH$7XD0nDoQfcM+B9grGcQC&P6<@5lLkw#<|hiwiZEQP
zUa$X$AM&FN((S&=0&gF2H&I9tZhwA}{N%6@j6_O0HI^$tj+N|vc{4@m(*7#g%S8h2
ztsh<l?o|Tu`Tc_QGm0SMRaqO^ECLb9=kyH(DM0&A=hwy&MG#)8AK6zS29wA4%Bp@>
zhMAL3-kgb4f@{&v!du@;fYc?<v4GF2aH=J9LeYv0V|U8*GDM^y_}CR6<`H#hbFuC}
zYf6DVQ(C)4ugF4>b;h!XoEALR`N7W<rVOMF_MBzL3a~V_Y}gj81Id-7P&Ou2@H@qn
zkjSkB0Z+FUseIOh5KEDFhx^pPc=(-b!*w!j_87eMMPco3o?TUsRMCX=3W@v<EoCTV
z-@kugjd#vxRvf`LZ7>=cOW)R|0>pz4ugjwhVT6f@H~gmug3?S(%*kpX#xt@+kE6kw
zX?XtbBNb@+r7w!zHQ?dBYKrqQBe=lff466i4+~~8^}dO%-J$+Brpi=}p{reZT1nd&
z3I-y^zBgz?<WI9^^8{ny&}|%OD=`J7q!h<CH(hY$`@C;szA-pcUU776u>hTiDx0lq
z^q^^LXj#!_V`vZHir>s-4Nt{_1$>X{Ls0SE8}Ba}!Ko(pJ}EDN>tE{Zt$X$1=l*UU
zc^4Y=Z+w4o><%4tFC>KLDpH|GA$R%sJp*_M=V>}EHej9B+peZd1w+RJ8}60p!~0Wv
zPe*^Yg^a^_Qw(-0-2d@@LbpyECN@!}%+l>3P{Pnm`i?$i54LYIYFC3YMe<m+sy)20
zU2ba-)ra8=glWPTGQ8lSmKcWGLq+GG9bI>HL2x3>V{ljop1+-1IC0h<@<*3$-D%f`
zz;iMtwap}u=p?M{z3icvOVCsPwI-bYH@|P%fE`%lx2AsOvxn5w%-zum>cCS|Vj#~s
zPUtqDwJN%02hkJ9821TPh*gkQV2T-F81Hz|H6~yO?YHk}2n|snsHj<1fO&;cQV{Z{
z<+v?$INje>eO(D|IP+fe=i$J1AG+~;s|`50T==^!SsuRF+>JMV&WoaE+y~T*Y#>df
ze2Y0qLm9dHz?EJ>Jl?;4%YP|!FdHfAzosD$uk{~Xaq$wyG1AklN2>s}ukVQIdys%!
z`-S<QBMA?9cBQR544@Pjk?3)kAB;YBv}U!Cu;YY=U&}iJV!GG2aa(bMm1`}JiHHb_
z$GX-Azq5u5w?){?eVHL&`9cUNh@hlwp~&a2R`6_R=Tk}AJdqpg(G<rmf+wY;jCqzU
zVIaCW_NC_pu^97Dcwa9G>woBY{Zh4rw|4~A-M!L5@J>!93zw5np_Q`U$=d>Im<RKB
zxmPhZ+E;S#I!!`b!!3oYdFF6&o9agYhF-?b7w?#tx0A4(ytZD`W-zX$fQh0L4Bb)Z
zB|cLUuFGRP<nLex6<^z)9Tc5qh_VZ;?$RRR0}G*j$BIm0ljqGuPw@qYP4I`ZN-7EW
zr78+u5;6ss1F5$g3RW2Y{Cc`-n@A}1dUjkr+611#Kv~2n6W;6&$xt~%LdkmgKKI8M
zg5K{73F>4)&fBA}8BHYo@FZUS-Z5iXSl%mtse}#BtGPd@(iFjOE>d@u7mUCqc>~Xp
zeH{4W8}T!zPz33r)GUW{Mi7?n+^HzQg=W$n&ZB0c*xz;asg$@8WL%gwV=LoEo}uxJ
zQ$Iw}^n}JrX&DVzmYM7RZs0}QjUM2;FNP4lJg%~t24jar**$*n;iC@UE7#WiCM9%y
z1I`+PMvWR>JWc@TW#$_juS=lR+hyvjJVUT?;s|Y*6+&*2pGNFOlGt@IFePd2F8W!q
zvN3;22sx5(9=g&kg%W4wma@eSVSbU6*fJoDo1T+%ZfMFN-})EZ0>2r+`WI}>l=ij$
zcU#36C&^-{Z4bwdwLSh>S-eDU7eOvv@Av*P^5`1>@^jM#1Ms^N{LFkv6qCwSn7`L3
z;Krz%(XBxS(7F6Dr+`Hqo#KW`|J5ks=2vvhTb>5sqB$RPP+tNw^WInc-BCgw_udws
zT?R03$Wy%Yuq09rZ}f4^B4f@yKTebV2H?N9cQ-3aVXw*ZR%#9fJA%iAtfCE|Sk$%u
zHdzKQHH(u%N|kXU<*dJBi2>Mz4L7N!$l~5pM_c%7RWP`Jxc0`7!5S}xl`P4w`D(pu
zA;GPx_{QO>;YLG4=v{v_L;R5froW=Y=3i>~!H<>w#!W+Ldr>(#R;q|s*EhyJX4Alx
zCyU-eJTy4&wWa&mIVBus5_B36(M08Y-==btXz)HJq(9q-j8XE6w9VpLNcX&HRc34i
z+xxi3!s!$=@gDqA%C3!fr?WR@O&EdOZ2t3PC1so}`mdd<TN|H#T=_ix)EM^IZ~36O
zy5`USMXJqR)4^TUJ%f>HCQz;UAfd5M1q}~MvouQSB8z;AD_k{&bo&71mI77Gb!Zj%
z6RL})?w>ODUpE8w{fE10erkBa-1*g&WL;c;B723BX$~dB9e49Z)KTl@xr~x1T~yKR
zeBAKB0vPMkpVgPDqo3F@PJRVlyth5l{Y9fC1m+>jRt*i*Eh^lVa9Rh8`rE7ic36Sh
zY(%&B#Wh?~2XnL1v@w2VTJvj<HFQ4e554kI11k#n6!(W|p|{Ts)uGP>MCAVVGwIPl
z{mwCsaS2WI$ua#G;tsIRvhr2MM-ALmN|O3?K^@EcE(krY1lV5`xA}0!TAbszY4=A}
zd^xR}FT_rVusa2Ii*ya_TrP8VTEnTlP&$=^PKV{-l?uTZ>d3vNlv!Mng6yP}`1XTz
z2=?##7)e$~<2l=1?4X3P&wt!Ldxj3~k|K;LUp4$RG$XUpDv$B{zm}iH&|%olR^e-$
zD!#j=N~?C0L50T*>$+oWc}!2BVzvri>@DgfiAbW3-1a&LcRE~pvCrpQo-&T-p3pog
zA%?Wj!~jQaIwX6<z0uF0V3xkLmRJx8z3Z42zRv+{C1}Sv;>qZ?^x?s@s1ROy`*e%^
zTEF{ZTy{^yDB-<1p&Ta_KFnX|^^tXr&(H0bbXts1#N5pe(?4EvVU){-hn{2r_vE_+
z0YBx@S-RoSA`1srY?l4+Y(4>wM_G3(&&%R<u1xRYkF3aa<=+5l#Tr<mQ^$H_WpMxW
zMpsWV3tnRrE-&0>4cuI$+g6@Zc&78VnAaLFp8iMa<u0~@<{T#L-f9V~m7ecilwiWM
zIhWY({<DN*XAf_VHW$b1ECM%L>8p&R@%5F3u9om+_Cl#}mna%$7S47|{$unP{Ac@i
z&Cf<IU2_{q6G6|~h7mU9RYqlR_ug6_3%DI+8^Ab8!hX>V3G$m&#<l9EgHs31fw5TC
z&UHo@bwB<7=oi3*YK>eEE8m)dWhp<j<p|-?fnO};Qp{-nES9#}&<uKV#V8{6f+&0c
zNyx|qGgkS&i5SQ<1v@E|{HBuvn6aLnv%a4NUG<8EQu$1wHXz%bdYB&@&r#)B=UDOn
z5AyfeGbX?lsl8B^%!esIjV6Q0>==B?;$Y*NE_l}y@MMY?e+LJpW*+1~CM~;wBS($F
z(97}eP$Vy|8#1n+ZRSLW`Oa^*W{hAy{Ja#mAup!gUpWwI%Z*L0kBhy+jX+tex?V?u
z7i)=298GOJ7^e7$yNAgLbPefHpu&s#oA-*%p5w!wk7=Ej*J%)@mdeKA$&0yL44<9Z
zB7lE#oIc+s(}0;xv%#c>7qt(+l%uTi{k8+tH(RO=LDe~2DZqvgZ$A<kt5g)mB}ymX
z@tuZXKjhReImw6nCc2C78k11e@_4P+iUD}CKK{m4&yUw{UHRkWErJp*?8klX7=VM~
z&gXX30(k0ljOA3iD2}kYj(m4FfOmPLDU#iS_&%wx{Lh3KR!c3tcM>#!%Zj@-ITD2M
zYFnZr!%YIe?c({a{hkUP+X8kTauCMLwkuj0?UMMbq<CC1i3%lm8+MtAl8|zv*s?K1
z8qH_FN#VXVf9-lXb$phDr=8`WIjhRz_>n1=F)J#Nvs0!eeu`l4){6|jKXN#bb*w2u
zi3+DHxPNW>D~bt)+Qm_Q3fO%j=yiY)6|Ap)(2<rF$1lSzLvFK*Sn;r{t(%t$XEZK<
zp4%pYLSnJs;@Qb4eXKo#U5pBC<J9wJg_4+mcyQ-?3I)?fCYG#psNgMkw2n_e8bcRz
z&i>n^j5YerX>+br$nYMQcDW{lodO&YXJb^b_5_3aAf5_!MO4Rl6*-L6tB4e5s3L#%
z!hPoNRFJ&gy4?O*9#5%@@Ru^FWAtG3v2Ys$VCq_O-R7u>SzYyYF18wYu1-8ZzQzD(
z4n>K+G$l;RsJy5gqlvdDSKj1qHiT)#ThWrLWc)|*w$OT_g+^M9=2Z)ZkggpUc}$Li
zueWF0?^)B4(poZGSS<}oo*V6(kx<4Sjm@T2!#X(WViz-#VFaZ21skJCDww0Jk+}Y&
zE{cDNG2M037`k<6Gd|p^D44OM>iji5{2Id>teI~D9n%$!`{z|r-p`ci<kiQ5C7~l}
zuS}t&)OhSwml}pVsJf>|)khxxI*w<HX3(1^>a}A{N9=i2H2Dnmal-0Bu)DbhWIp72
zTd_|A{dN?y2n*<A!roKvf@dtjbLCLVQD#ld`|sqOd9)s8{UqOys<Q&#7$t>(lbYyU
zdRM|BK^Gl|Xp!d@tikE^$qJTFn%K}UEBk4y4jKw)E&B@sY`Ax@JbFnJ)AN1|88m5O
z;rGcq1vde{#SUC_TF^w<T@^ZE|1^-^JQ3H<MF*=3xz{wCH8J}Td(2B_bqwqgnC4y6
zi>{1yy}JT6@%8VAD_8qe&_W_tTjvoSGPfj8<@c@4iI%+EuZ)88T(TA_!*o#pA+nXK
zr-6-aac8<Bl+f*xrBpw&4V?0O>=(2{9Ua3sobKny<AJw?hYhC<q=ePYJlLy-72skY
zaZVbIS&6WTzjW}I3C>~Ou8O)0Io{BR;^=W<j!U794!1;<EQ$?O@P0+^dKq&OjGNeF
z99%#LenwKoESoa^>L^cVQxU?QSKn16_|YN5*IsJ$BN?-T{ohso;=y~RvqBcKbcoqs
z>?V+*gp`Fc??XNusBF;cJo*~oZ^}W}4S|X%-rByToyLNh*Q6TTLIITfg!<#o%cEV8
z;g)j}tBl8k4Eb@%wfE;dd%taz#cq#a%iS9n8K$)+3Q^$%u$33w?bnq?HhSC0@zOtx
zr|0;i<f^TKzLVk*Zy<?*_v4Pll4conU9;lH|JLT)AQ+y$Qyg2>xoI1B&oJiaE*3tw
zwStg`eRDa5qKLw(tzG-48Lu4oc00sbuHE@l23sXWaIxj;Xt>BUL+|-PZmBj4Fk<?f
zon9u4nfp^`R@Y545<lB6+*h`M<=l*<_5dNgTOB_lI5y4bGxQJL7j6z_ZUQ_lNdkC9
zJk5J{WQM`Pt+mDPy&3Qw(@Skk<3py?B1E|1EMrr^`0IBXX0VzhKWN{_gYWo`ET-1X
zG15Zp{wum<3Mp?3>R<bD<5QD|*+k@D2EX6Xo<9>N(0sh??Q>-=lsmE@IIwSlv3nwn
z|B;&sgg<F}6fez*Jil4oEy9-=9s_$gJ6;$AtFS?PyDbM^P3m7idvAr|#B=+nmyt2V
zZQsT1naPgastXbotW4OF)FWV9Y6PqC6(KsxYw=H<)(_~+xTSouC`QEyc>6N<=C`t;
zlXC<dPhdfF&Gpp^1vHR-us9M_&W3NlSqSsavSNI|^-qdwG+6l;Tz7pfzW*iX;B){x
z`o86SoKR*6;Rkru2YzA0{{a91|Njh^XFSz?7{+nP-YeP1JjQX3z0Zx5B9#%!-YP}N
zNJV8vDI;6TXpr?p=Kq&6B55F!8B$i+D<1E!&-LP7*ZsZdn|_{keIKfS-y(TSTLnzF
ze)YW)qC<xycjwY`7*N*R-iI8W%HZWT$Z|V|4q11kWeYhnA-Wo}rH!*Pbhe(9G2_{X
z&YRhEy6du_q~cqmk(*?=9l`XzzIh*7=1H~+(_usOAHBy=1{r8l)h%c5)1&yX*-yum
zI8ch&)`*op8Hg|0N+?kb$mVX!_e?8JM3=oA9y?8f!3)BJZkddzmljjIaF+`)KM|3t
zPA363{eQdWUzkvj!SRHLW85fgpe^diaS|Mwv#Qf3v!Lm|9B=MpyvP*AGdHu4fU5oN
ztK65Y$Y*9E@aY#mROY^Q^4w!37}z<+E9c6NPB$@I>jv-NQ;)nU)>8tuz^FS8*&Imy
zIqiwNS_ja#BeG(je-UBir*hb{98Ofma(_WjNC^4uCS|;NN`#@>N=?RUE_4SA&M6cV
zL1HmW_1V{nAmdO{9zVs6RBu?PPDqHM14!UUr!NuYG0h@P5-$?h=e@&sL>xWL(XQeO
zCPEMUNh^jFKGfCtw5#_z9tmB0TOF561nMmLr|-D-qt)~?QF(0=D3a4|>ETZz{G7cQ
z&s8dbtVz43E}~K>Z2$F1!Ba}WU~ZTo<tB)9PP(~UMM)z;vHJ0S^GfiE&g<b9Rbhng
z+Q#*)${^E+3DuwMNT7@}ykaXZikj-x(^dQk$mEU9v4UO_$jx;8Oiva=<g~fWgjqRs
zMU+ZA^E?@1E7RFF^2Jf}!#eFu4+WGk5dE-FOc|Qb*x4}D;n5Aac`NOUB67%)Cc7*t
zgK#Fk&3-@vab0WJkXKYf)jcn#zfGzD=J&Vv<F+KS)Ty6EDkSvT)QHx4T@_4h3u7*c
zNu$~kK`)JZ60!)&rlpcohYH;tgDVsn^tstE^nx@Q-SSp9stVD71eV6<R#viT=`dGq
z)dey#IGOXbWK<KxNx0n?wgjXyaDzTGk&KFudo#J&YXfimujCSAIb=X&O^CQkMk&vh
zB0?r~U}AN&L6S!v*+fyd612%k*LZt%;G!O+dSURdK^_gxyB3~&O+rsY8$5ZJ^<iRc
zWGhum0a41OaSGfd6h0q(cUc*rW;lyc|CRzOeRMJ1!-I$-jx0@54*`_699Jt!S3pON
zI(-~W70|q9&x=2o3_$C+o3CM@0%9sG{xvjBKs46tk1hWgKwHMipaebzRA1^n;9((y
z>c$o+3nvYMHZe0uI8q*cJp9|CJXaF6Yy8Y#O*I7DUo;;xYUB{f>5tRb3322{y|O9N
zU<i&}!~}ngfZ7`_x-kTapx_}diP#oHXq$a6dM!^Dc^dq_J>o8abW)6|BL6c4e|D@R
z-bn^k;~%|itmZ-1`YsgJ1Vh+9fOGGomqx0k<X-FR9LU;o_^8<lL!i^mIGX)X5|z_-
z9#l<bL}Bw)V%fBYFn5r7;RRU&tqE1f>uKT8gqY(_Ux@)+F}<rG*DQ{j?CM|4cWz-}
z4ifD4W(IJGwjzXLD~7~=K8Q*aSi)i~ZGP}g0T}eq9Z*{oMuFcOJ9u2DF-`Js!%N`+
zL^<ctmnQ`gZz+pCXXGFz%FIBr;{<@zHfx>U{pio(P|wPHZP@!SAOGGkqrhAJ=KGS7
zd`QfggH}N-4htUJJscdO4;@<F;fl6ANc#3Bl^<U%C5BnJmGOxlsIZkYl%C;29?uGi
zk>t0OOR~QM$lrD0=qHnqp4%J<f7m~R@VJ$7vW$Hsl2;eZ);A))cC#YZE=DfiwYQX%
zldFn{taPA#<f1d@5ECj=%^ch-GsWR2E8T;1ZCK6n6uqv)fJhgUzOH9gQ0C-c-#9m}
z1@HFhM`TRVp@^SW!xuMQu>y`SbA@CrI2)%sd0_yDvM**{J$ddWCZFisBNVL(54o(n
z2ia)Q!27mQ8rD|q&UEqV{1FZ45^{W56G?@Ny5cNYXg^_9THT&FeGT9ob+%Zr+reV)
z34ZU@{EB(m2kP?VtHYIk^?OPD+gM<OzTw#YA*@N<d8e2`9ae5oeFl|HEVe#Yp%gcc
zNk`%?r3I=1pDHmgt6&}LrEpT7m`q~#{Ed&)PpE>gzT=Tiw>3;>vvK)k`ZQJ(ttGi?
zs|qjd%&fxCu41RxZ3dH;XE1+>TfTCiR6yK4P>HE>1#=w95Sw&fzyw<92$W+gkWbz7
z%2I6w3$Ua!WB31yJ-clBR-{WA&J8|j>s(mICj5MhI4Mim)2Eq>)hCo;n)tUle`py~
z{`*>UTzCc3>?+Az|4N3N78`tZTgw=`X;#m1&NZx|aA4r8D;aDb5r{>HS1@E;bS_GG
z1M7J%Eo%0c1Wsc(|7>gpdse#TO?!9?ix7}=K5>%-5iH&>{9IQt&mU8-AKm|liLO-o
z{Mb)|Dq|Y8M5Q$>-AS9Jm4*sEEf&b(aNo<3nDZZJrPncMp|H|N7S!nQm)7~j93s>{
zHSXX&vVpPkf0G}mr$JL$XUgn`6+w`#eV6yaCiWoK-Q|t}E&60b&d8EhgmY2X*&?{M
zF*b!-UXh=4C}&>PHvX~#41au`=+pQQGj%;AFIrBI3fi6cFMN=P4Zmc)vzfbCwCs;^
zuZN6C+x^tt$3%H3aOtHn@1sJk3shG)8kmug)5f#B2Xc@=|DdgFiyEB~-1!tt&xZ2!
zpARfC%E8n*>GZc09MVrcYmslnfu6g!6D*?%@Jd>1;#L7IVm@`~jp9R2<fFTMIGvRM
zf=67VA1mxb-<y(*)&#jxH*PfI{X<!}lX%H|?HfJP{oQU?Udw~rIaSA%3}oTftGF8v
zDjCt~@Ads+;e5z>hB?{rj|?OY;otRFGoxd?XRrgF`_V41azJ;P3{d%hZ8<!{iXP9G
z%=v^JKv&%_?yg13K&A~DJ`y;Pf_02kW4#d4Z?SSP@R5NUPNP?&p`2)>oFgP!K@?@M
z>lr`tmVxU5jn40Xav`aqs{!6W#gJyr2<6^Q8F;pTa9>mq4>}Sjd5YEokD4n_nR7MC
zz*WX>y-7(vG*bPr%&t!Yy>!mF+bkpt_t~>O)7SV>cu#RMQ=k;Wd%S-;QXmUbQ~Wkt
z^8(16@1yZ3K?XGntCgGB6TtKbMSYoB2yuk0)yAyIqW0U|<V#27;9yClHZm7M8-Mw>
z48O=BQ>E@k(}2A`#uiAQIU|Ows_xvl*QkI*1=urK#uPxe|E%opLvb|huBqKqLPSnM
zSwiC(M9B4`+LyPAM+9|^!7x)2icOe*pkuL@?-nXfd3KWM^7Tx<`x<0q_)Cvp<|Y}0
zHb*l}TBT5K|Da|+mof^B_hb$lQ-)XDOv~9CGAM9Wz>Bv>8CCd+p7Zckg{pt{URuSn
z=)|eZTyuUZXat!JN=d0h+m|msM_J|2*{w7qt6>!+$@z`PfL0Se6^FdYb(Tj-w<Z!y
zIaSfR!0vHroHpe8Qt^$aDWIk2xn~D=RnXh|Skg3~E}To6)MF@AM7v5Ew1$sV5J9T<
zy){`M3^<mpr>_%Hm@N9CxU7su3toh^hye(!Jl>%ZRzeQV^d8+SWE6efXD#x80WkVg
z9dZs(LY8y>OgBnMXx*wS;QqD&_@4g9a5h{C#j##vC^aS`?`u-(H<}D#@yEsBd{rf6
z<47)Q?v_I>`xhM3?2N$gO_mHtHWA&5pKquZltF7+z3kWD83FM-$F^g&B3fOgb;vv+
zfl7Ma?!RO?2=R*<gv59Sl=bqi%z0T+ByL@weOdA#lr1MmTH@sq+f;I@3j2PPxct-C
ziRU1^Jz<(@9!EgZ0*Q4_ah#~bys^7|%m{{9@~SxB%b*%X*Ye|m^eCnN+he+9BWPv3
zqHDA!g&Os$_%=RnV&~!(GoBKS;PeqeyYGCG2!E>CMrim4)~~?VyjW)lMB^k}rWzhC
zOL8s$?)^aNU>>4((=!BuZASTHdoff+|2>~Kb&jG{5hM{`X8`a2C8)Ma3!}BOG6p2&
zHHx4(4ez>|0aSFmy`ski(7s^*`Wxr}QNHtXoi(cjcvRc%EgH{<6scSK^L|r7kN9)n
zQ)GahSM)YoiQMRXmfG?g7aF+oj&3Hzn*uz>yGIy0IZ)+hPJ^)#4wkN`G#?7qhrC%@
zE5BG4gx6dSS*pOnsOs3!g1dTfCTLu+W`Q2X(O4E`bmE}ixUE08LKn{Cg8OsYaA;bM
zzL5A72jBd1U;h2B15;E%LBdQ_i1PE^b4@24(A}~5B+ID-FCJ@*?l^5=egi|7PVCUY
zjSqz`wa2u9h!Z|p?7D;<8c10xNv45SXWq+P_qD*$M2<s)e-_grYOt3OXdt?*=~D5K
zCeR%IaX~d@9LsMzb>d_@HT(^X6kAo&1Qtnco@DhNOy8w0q$Y?OLT;n7xL6H{SDGU=
zyZ?tNc$Iets8hqkd`jKclsYJ|8^sLtBZ}<VmcSWSYS_npm}&W_I%vPT?C74{L$Uph
zDzkQ|;40VcDw+S(fJ4?MneN^Q1>ay&c#4S{C`++JHh48?z7)#m)Hy-vBHzsmQl^G5
zhpMY5QdL3h`Toy*KEEhaa!idhA=JQJJ0bIvMHRlMIwn7@o}(Pfo16PKNDT(Vc;?Mm
z6<Bv0e^T}14+YK`SG;qi0j<h)sf&y%kk+p9>~`NG<&mKE?L2B6{MWdzM&*t&#LqlP
z<ZM``d{QP$9BjeC9NVkkI{eDOzuZ(lmbFTulPm3h`-~RoKb&s4Q9uTj!q_RktLqf=
zDsye;DmpN8j4@$SC&O;TA3+z-O$u+|Ozz#$eb8ia^vhr;2{gidJp>)MDbt>X>};wG
zFz_|4k-?J$3i0A{E@yWrvELK+4VN)Ok<TRQIV}migcJ|lGogYH!O<6woni*2z;`!3
z99IHkyZnX&=c%ExOGj;;zzTLatBn3UBCy&3Q$Vc0`>VfvL<5ZU6<Y5U*&*%jb(6Ub
zMK~Vz*3N7J2Xgj#P2rUsP^sd||JYFx-Yx2F^;ywD?@mWl^e;}hUQdv!`k(-rw9akz
zefwbKj#B)T9yc@$O&0AORe<6@DIYd3GXRYQqhekK4}1xILP_nBhcT1Uh$$^5xD`l!
z;oTuVsIHi!G@O@*_9Rl>1w0GjuAL~3-{l8Vdg-TCp1u3eDd4)P!UnI$Cy(wM768Gi
z<BaUxa`5z$;|{eJ2SlEFc<bndAWWPuY!c0pgTJqI${74Op$$KER-H!#ssm{L=0?gv
zz!Nq2g1Df;>mF~3h8VmWYdh+FT@E(3t%U^?c_6=M;y>pr;y~>Z&DWM82iFR=UWQil
z!h>@i%U->Bh|_e+xz-~GEsseT&N}kLb%xl(fyR;`XdZB(TSXpnb6;(XNDF}Ty{LqH
z9a2D`d2~6rK^_>+i|CwV6NG0$FFO`pWk5sY7vHl01!yh&cO{2k7?QpnU8!LvK=rkQ
zY1?~sURwB8b;3XtR2lD3mm)c6*!*<a@D>rO_EicB?j3x;85d)^a0Q^UcZs(8r36&9
zM?cQ2iG$z1GhzGHiI6<^J9qdU3F6++*bp=%phoM!C}C0wf=*<&<KL2@IF{CdF+vhV
z$4>P;Y9ayiJO4bTNo9CMb{}c|AO%^aF~{*CWGHb6>8Msz1)<@MkI^DBkX6=ok#=vs
z%ffFlY-X#0{inn-6CYW45#w<4=6z+@R-!y}AZdWJ)$Ofc#RM4sVBVCvm!t8WFSc+$
zG{O6~>a5XcIWTbYY)jfwhQqVGv$smM;rsk(htG&S{9VL(toJL!O7#TuK$I@<hestb
zw<>_E%%!)UfyyADv9I`!lRoU<coVo4t_YWc^Z5Nb$q-Ca9;3hq&~m-V@57cNG`VOv
z*o}}t_Zpu5+B|@`!^ovr9U_RGsmfY7s{}TEE-#_N0EWlEF;g^%P&qr;NPM9HS8na3
zw%Ztjf<y49%vnX4&!b_l$tS@5x|oq~-wi>N^Q8vfUJ-s@&Oc@8CJppM9fAZsBM28)
zGJ`k;cr@$Sf0s)F!n@mg?*tpcRGAAmU6?#LS0trWWQoGg0cU-NL?gJ_5@PmLT@DVj
zddp8c3Bb*@wG6KaBk1_sFge{W3x9SkxV^Hu!Bm(^`@6Lfd|nigGt-d)=gNB~#9<Z)
zC^op^&SeDoE;;PM=~7T~#KKSLGY%?p1Xhgd4I$hsS@_;>2}mkAxNJ#Tr%1S;=1a0R
zg!r?DGM}{Z@J!%mpYiq-h3Rx6X?W5ABrGY_q<dnJULBm+WnD#)NRNBQ?Pma8wO+LG
z)52hD_S#y-We^*Bvz=(Q2Jj*S|Lel%13*(E!VvW17dD!ZTgz|_K<xL{)bpSG@R?<Z
zQ11K}`%!J3vOotAx?o7~ROAK!!@EzZeU~x3gQ47IF$yF+)=bMS;)17Qr1`UUtJt3-
zg6HgX^udDvsQhg!4)AHV(tGQ&hPlQ1-EwizgJCku^sp}r$ej}J)2Um-0!+0PW}|gs
zT!(pXD4hWyD9X(E?i%*C<mU#>D;*eqm|<QjMF%;fcP{*+Tf;&gX<Q5aqYcN}zNx-q
zqXD~b!)l*&SFzk}s$?8V8}7I(2p!4Vp`3B%&OB(gg7qf|$s1qRg2I^0?2|Pcls6aE
zu-Au|F_Fa8f8U!mp=?t(A<u1va>38G-9>*1dwxga#5rC~xKk6CZg>ALMZL1@dy&o}
z#!>w7cdD-jh|mX1F`b{K1c&z%B~1Qe0_=xGm^#&A_6Ai**v%<Q@Ee*3%xC{#c4fIC
zR~6MkDQl^u++vJUe4`V0-gE)uGm9uKO;LmQ4K$YPQ3I4bCa)33?K!MFJb>PrN)5E9
zW4Jr6eWFZD{CDl<uUU*X%p%X(PZb&oO1<dwTZ&$e;l*y=S<I$LH8OHS1yqcTI?ChA
zDc(14CccTB!R%R?zGm2~0E>r^DYL}`jIQ0jE>v*_J3JOE9ksWY)UNbuLNm2k=N*63
z{QWbSTq^Zbysa{1L`c^Aa<pRGzofj7;SA=9sbW@xWI%pSUmy8=z+47xq`aTcV7@&0
z5mbA;c|#6+SIYYZd(@t_>R>U8g|^zev(A!0*cLZF)Yym3&-Fw!Xv|^j?{}#@LP=28
zITcl@{|%eh!hd14pT}q|MaC8xNl=iP9{#U*2y^z;Pjp5Ln6|HOkBN>FoV@KEEPHDd
z6P(|8u2A&{^KiE-{^U)BSIp(JIqKtBN?6oyu_u2qrcoOQ*K9?I6n<9y`tJ{{Y1(xs
z9xY<UnDFXouL4MmiPV(TPh!~&p{GrDmN3=2@C*%J1z55>JAOFxCl;KMAers9f-T=p
zr?NgR5Bvm&cK768m`7?|q1w_aR^RiPTCq?L=GPxH^_I+F2Hd-n8s+O)iDkA??Fs=t
z6Ev41X6G=`;7}{Q+)b=fKwN0klmIMzSIYDi{$S_J^L@QuZ)0mzv4v~JvT$s1@Ilg*
zznHt#CuV1nUF?DR6^=KIvLLdvtDX3B5&H(pZYo1m=uGDtg!s!qFg>a1b-*&#%bK89
zdW;5rT-kj?8IcC^!t(DeiB*goXv;PJ1BcXa^edgTl!mSx!)B}PHEf&p^{(GzI+V*Y
zk6Z1Mg58o(VIAsC?6#!+F}oysbn{w>c;ay>aD1F$c}-&*E9!gpc=rV(>a4ZjywfiU
zrKO?oYzuZUs!KKr%Cs!V$1FGfzK<j@evKDxETTf{fl(!jsca~Yqp{EuCkf(jMcZSA
zXizHe*|4rE4s^4?B)7Im0_64tzpHV`dWPMx9k|e!YO?F7l>~4x^8JVkr9)z~G-WNz
z+=zL6+X~Mv0a9*({|<T6BhxFj6w()7)Y@_xB){U}kJ$?)j~GUj>M7TpGQy9F6!N5h
zyud@V?&p4|L1uI}N{;59@Bt*E`$_C=Iv((^o2u5m*^mZ(B3FHq5Mq7ZcdY0E9;CnI
zdZ%P^plM9%>s4J*<a_>Q-s+xD_UV(RF?cSd*kV1j#3_!_?*VhmI3AYcuBrd}z>UOh
z^@gho@MtdL4*uI-9!KWz=TaW=qJCnKy0(oZYJ5ZX@2rx5EA>JdlezpT_Ffo$0zn$h
zo<6$F>>vrJ3!Gi1S_M$G2<?Lx2V_z1$FTBcZ7Fzk?)r;P!9C7jyR&90D~D?5Se{|l
z(y-ImmG6)%f(}-b&KjF5Aa`kdPv2@8(0;}zK`0hO%&Y!HwP+%ea5(oa-je_)?2VgO
zc<{)3^Lo`KHxjDtnB3~PC=VrdGu+K-66i{H?BI_`G74?@*X1>+2$>Pl^)Un~RFQeU
z5z>^=t1U^YTw4+_UHta+UAr_QN;#TYr>P)gYRA#TTV!~6e8<)Lf-Jfv_T~9fkSeOE
zyKQ=`Pi60)jo!!2C5QTH7w;XCQA5NMaPa=A1_zz587w}PNAeQ||3ze}p_^KNjniZ`
z;ri+6ue5TC$fL!1W&MpBTIrC|b-k+%#v;mwUvCl7&WF^}@?<rX<9YN+0*f9LoA3&A
zmnb2NhW%!e)M}_=(ID|i0tMc@V>PQbAtCC(ZB7XWRkR}782xAqz)ZA>W-6J4LWuQl
zX3v$8+CaLD-T^~6lefclq>_YQT9?PQEt63E{XowFUL(+cS59<$NJ4^@&MB=kipXr-
zHdJ!L2$;{U;J58b=wVCD3AWn=WN)-j`{UJvP~jB%s_3&4D*AZe!Ffv(T{=^l=QeT>
zp!n({&wV2DpeeRq^b<p^iZ?a=8I9qdxA=z?oFeLb=R;Oe+mCnxzW!3AG6s)L7d;;}
zd6e{~#!x|r1G(9FI^OO$2+_9LaX}gclv`OE;=i}=xI(eV-2Mk4`K7n=9|0Lex~lK4
zmNt!rO@1b|Z5u&pluC^8tR%9Pyud<THbSY{|3_QtvJsdC%7`3nz@x!STC_}R>y)qM
ze$kB+hEOMJ_%bt93@w8PQ&S)fD9Ft`zhZ6(c7v&M1~_3<wdwO^M2{W<r{9fj)fj-P
z;%$>kHUT706*_U^KPFgOdGq|TqybzzVa{z}!;5m6^9nxlvciY75JBoR0Kr>9Q={XY
zNG(o9p(Be8ZtfF^?qmg^`SaMI(VG>$UglS|2xSNTuIuyl`zf&R$>=IoIz7_1OS|mw
zjUA{4NK6?L`q0PuzDex_4Z13IM6C4(I~aw<#y9KeLEYkA6?48VY<yHz>3tPDP_Lcu
z3wG88ydw9ALF6LV#zjxv<H`>9D+lsEChc+b2rS;up2UU<;@@l2?&<wgl?OYuVKgQL
zQVw@xS0)V-WQ*A#u{r8~8HYBg8U@Im6KSS=<;U%wv|)p&58uv)IcmYX(Th*stBg=|
z#-fW0gxR3AH_89Tf12QUGTm)1@fT%mC0=-tiVdDfmq^HQX+oZg;aZ6CU&>{Z(9lgf
zHaM--WWI1&1Df(5<+Gnzp^W}V{#Hj~gU>2;K0f2>P<vUqOh#aX66zy+W#}dwNDM8U
zJ8Y#65u7hyZQR|aXdV1Ic!`=FKANuHKlWY?Qi`c8Z-3aOcuf5<<9^N#<@scL%cE+r
zuzGUU-k%zVKEMW@0SAmF`}G@qP=(eJf8nB88b}Wa*g<bNfK}||c`jR3IGyLPfODdS
zVLPn#kRvBt{f*&1{8WKi*|Lg>E;_KbJXkBu$pvQm&uS8`sz6`v+uP>)^gwoYII;Pi
z3pURRj0Fj(z!br^b>=??I3GsG;M2?vE>4`us9qUD(+ZvV)R~|(G`)h*%mWuVssjFV
zR|by!faviSX5f)8HKZQm1>>&R*=Ib;;KC7}E91=yb(N<47&kxU82oy|@tzD)xbBNF
zV(g&WoqR*xYd_qr4Y%>SO@_`HiDa!%4zN&TJFnI+0A(_T4-Z?CA-B9{IBky~e=?0{
z1$zmCe2lrin<N=3pZL6-4CVqS99}<-R~RNwEDFTzl0fOBa7$VeH&CVcvoDQ{Kxs+y
z(VR&V^xoH{{Hy1I=QggU-Cknw{f!Iu;wuR}r#u5qws_&%AttYEUvbD*DKnkuBLU-d
zc1zfCe&Cy5>+`sQhlz;)>Z2$2e0YZLIn?e4amsw&@j?l>@T0)*A2k_@NE;pgS_i<D
zV4j8Rm4rwip}7tc8RT7sX1;d|!lXy(iBxuJxcKO5O7tZ%l&%y@ScD6Maz;$Ln}rM<
z$u4aE+)jqD5}BSgJy8(k0=JC}SqR?bH#1jL1~Z&mUqPH0eAJ`)vM@#fe0yn7M6EJp
zofDJa4i|@~1JAzqNXo;HVcwLcQ!0Qjzs~I*jECeWO<f1<72v$-RzDM)Dlos+O@4J*
z0xo7T8uCRb!XJs>ezPO0aH>nR#~?%!t|boa<BTPO@U6E@hI{k5X*kmNEM$*EE4<%@
z?D5+1FIwuHpVgt@xH;EufHXYWIX?b?jRZA>&(BXSXu$Irw)YhtGVt~2%~#Z>BoMT@
zYBMCJ1ttrN6BQ=1U>_=dr@(^*W;zoI60X|tLel+E0zUy<XjlY}ohHHm00030{|wh>
zJk@O&z;S!;z4x&W$2lA$>wh^kRFpC*vLZ5`6j4f4l!&ZELsrO$A}jjeWK&59S&5di
zvK5cF*PHwExnEqr@6}vG%d{^sf`@C@mmYShf%bj}?e_#Sw6f1X^xH57KD!AfJ9l+>
zEtSLm^OhDk_nwV#voHlm%1!IA59;9X*?ctOJPFQvHjku*V=#HV&OKR@2&79A4!#1K
z@aZYxyw)KAe)7^!VSOT0>qaD1yAvTGs3Fa?58z4X_pmNSB3v`}Eu@@NgGJZGIPaZi
z&~v1pWn)|&qP)^%a*n7#!WQ^`e`E%(RuhGxr`4g(;5*|7X#$u&x*NPSVFvq8)*PyM
zuLdWQcWv(MSAZ(|wT?k<8eCxM6%6B4gZ*j06aOX2!H<1IUccpNKqUvY4#=y*j$eAo
z<t<V$+PJk6B29z-&yF^Q5-JcoMv}N(AO;8zN(*PEfk0Yk&#}J*AaqqdR2mb4q9=63
zxKCyv+ICR%${QtMEml7&d7dBq^1E42XPZHhQ?z<wiXuE&433Rn;sX96_jB~e&7d$s
z_+`3-0u)+=wOjVE0{+f>h@Qs`5~S;F1f=A_|B{+V!xct&lKt?<Ocj8Hc;EcFH?qJg
zKp4=Q-@=-GR-Y|70YnRD%7}$X!>*UJUM$w@nAW|<mmmINpeqrU>}4bg-MzN!3`<K`
ztSpa8oGAvqhd&e<%Zh`+%9TWJd;#;O91rlhYziNebhkK^MZsxjT(xf09F{v)qN|0Q
zz{!MSCXPeG;N&7wGGH--ZPW}4s4$p7b)=%Ld#)g)T?>|={rH8|Xx6tH?=gn6_wz>_
zr3GNVXMMS=_7|3`+Zw~0WCZ4!<H0d?eDK~Ok1Z(jH|E8Vp2$3I2zTv@IcMm3q1*Y*
zM}F~HOuT0-*iqXM<^#0uME7vP$vhLc=qGa+ZLmL%d~*kM<<6Bn{Kf%lEtwJX><gGu
z_O*b7Ndq{Rc;6<$gdGH0Vilie{lPG=a_vwH1Nil*-{f95E11n*ei`nygbge)7EKlC
z!@-j$?B*V@0I#@yQl9M!mbUVrNh`lTd|A8dH<rN+FSQ;e#(At^XND!N3xw-|!r<lb
zi5@11(fP|8ma>8UwH(r^o6`lm%li(M>oUQM9-iNJU;bfJVJ8l~JgE!2gY13mn;5~d
zR;I2{l@2nwo%A?9Q(^a$2d0Xb7=cuk!Z?4L9_*`bQ1V@<aOF(ATl+CaxV~vMQQF1;
zdEDQKcP4b;;jpvyVP{6zs`0yWoyr7Gb*B2mr*uH0Ec28~6eIX|oxgwf1v4y|ifG0x
zX@i{Y$zs;GjIhMb(cfgn3SyspPLxM!10w%E%4fg?KlP_VMCsTeozik8P(mB*$80z%
z8<}9#Gi`a-I}X^*{r>VyIR#42x4~<FX1Evhz1#N{7YKOXd1G^k0{P!XpV{qTfoC%J
z6#Ke)V0eYp(6>Z}M{~xzJ`q@<%=T0XeH0(~&G~EM8Dto)%KgbhWrOTuPPO-y{BX>u
zY_FRY8J;J<rCah~hk+tX-i9p!xB)LFWEsd{tyk^+v4#VZlsdax+=L+Ow|VN9P%Sw0
zENKX+T#)_v-tW;-VQ^gk=GwYNg7j*N<w_qnJfUp3GhGk`_P;4^dMPAeJ<>k4n8^#X
z`}LIx+Tx%WsC}hk2MH`a)U!%E`Cygsy;p!s62wYxr!p^SLRAj;YW)a5@Osr`{>LT_
zy5-Z;R9q8&%c}qEW)%dgO6;-Qs<PnX`>FgvjwUoca8nfACj_JzM(wgnIq+HT`1vbK
z6B28(1G5W+K{TjT_QA9~u%swXk?S>~Te<c^guE!2tQFur+KS-#VL7yCRTISTp7#u|
z6oWF|k2lg{mEidwPnYx~B)H)GR7u@i0%Vwib7K|>AZl7tmpe{^uHoH|`Fc`tv6+kS
zoUaNHx5SE^?r4Ef^m0k6ybP>dyf32kTNQ4$EblEgAw!h?S&2nKIdFD<O42!}4r1*^
z_wIL+fzNkU|D&Qjj9hVx8U9Cvw^uIjdmc=IXI^cyOQs62%T}o1ZMY`%oN2u@1=^r<
z<r8R~P=xbsVLrSIBzQGipi)WH0Y#UqXY=Bepz_p|)rJxoXwB->1$`=1oWbNuY6+0R
zp)>lpo(yh73T3{Yx}fjB<y$eO47tVW)0V~*7*ZUGD}1g8>^XbiShA}ER|&h@n{*0f
zm43UEDP;f>29dr>vTDFC{$h{pI|`)dx7GV(>;R)8``X=d>aclqGNZna0yV~x>?Dd2
zd?3+(Fl8n}Lr-4w;Q|VTI#%tJ?J|Z@&e5ndEkwv~CfmB3Qy|)pw%X`n3f5+`t_e;W
zkf}3ubMP@4F1>z|<2Q?eL7k)>UxNlXRNG02<Y<BZUt#for2u+6Yb6V3G~ls-!iTa{
zP2j0gy?5Ns3>Gmzy|<q=z=n}SRaB1%GzIba^6ehcx@HpprD=dNSBhrg9aS*%Ea}@k
zOarx{L4!4+?RR}la@M=HdqO>OzA}#np4inbbc6_(iINLliweN3Q`|K-NQ2FrJK|kW
zsl#Hcl_fVp4n8-n1Uk;p;G0DGM52`%?5k~(WBw`ue6g>rS-;W%GdTGljawBgJmc8c
z#)Kg=Ofp2Mi3Ziu@w}YRl!4?FUZiKk4`-%sBv{{~f&Wg?ABAQF@M2JYTbINEF1P$^
z+i5iTE4`qc)T#)Ch{9;w3`Q`x>izH5v>9}l9H2z)Re-;BTc0g%Y+#Bhd|fs%W)P+L
zW5w~k9FUDYE7pI`V{~8bCXOkX!Ba`&;+oeoaO>s9`=ZcE%x|w~p=%|;v?-gV3%wMS
z=a4TIslLYudPP0)djN{BPR+Esiv#TKTFJS24bMNt-68n`1H-$E+8n<{Aebj9Y5YP5
zKD|h8R{3NK%(=CW{y9Rh?$otvoYaT&-VyJfWio}6OQbVJHv}N-yT4=5i6NXrdTk<B
z#{_1zKi<;4#|INZ6{S4x!}wXn_{l6UW02%XPoJ*fhFij%%<8Jc_~3=r$B|h^uvpzW
zBO1>EX8zf{&kcrfv$|vaR-X;wU1^ImOC2k0vGzOU(tX6A*@fW0l?`EyfnAZ#kQr<V
zC;wX;=)vtuGt$k@?f{LQqTz2D7~#aBQiodpF1%c?(@EsD0j$s$Cav+&!&$la0n4`=
zaMlCH13KacK&@tsS*+j0f+Y)L-!T{B=k(5$x(4aPWYhz^;q3;Nl3(kQ=AVOwLYt*$
zuO4KoVC!Ej*D&~!_-ODL!t7&QE^zPAgN&B1HNk`x>_I{MtLX7gjA^>pTrFD{R(O-N
zERHN;Y#qCr4m|yUEks91#qsLGo9?F7{=q-k^Qo4-l^%mw0#8ai{}n1o1RuL_Eqeib
z#b7&8Dl~?9wMs~(EbBn2E!O5!G>>&;u^v0>Hh~E~D!Q|HS_hVU6#LH4%waC}XTMAu
zPGR4InYcxNYeUgyEy3mF9M<+Z=*<nu@0dh1tJ8$PHoReqwv6MM!xl)T%Q<Y**tr2#
zX;`2@oOI#G11+=I-^5Ajy=*g>cc4$GR44@!COSek8)mUDoGeYZ6Xr0_rD^_?%oKQ>
zN;8ULp2K*QyB{lSE@1!7ZA^2gkRj_quxpd`_FP?S^ySDOY&6W_2CFg|A_vCC?O)De
z%Z0VJ&Us7Nc?P?M#9%GRK7fxn@14h3^S=~0#;#!anHG!Gd=jMH49*DOn8*Cn(&8-=
z*D$5H`DMW|P5Aum*q@JY7qGRBE#*IT8<;wa={&o%CZx2Fb^mMngS}v*`<EoRiPe|{
z352_8K(BqM+Q#T2Hr5bLw6mgv2y(gKwPGTCif?DyFSCqUaJ%mnD5i&f7U~_8O?B9_
z(a<>(xq=bAKIM_r7{N`dBI=pFI*iP2)$$6jVUDS`bHZ&*5b;a4#h_9Rx|RO(ta!hU
zF|g_147tSuZmx@(ywYkA^#;_0Uj4=Bi=-6xhq8e;p;0I?RuxQcGo79r*~Gq%9Pb&r
z!vP6<irjS=R3Sbg{?+SyblZE;YghdjE;wTyt{#0w1vU%h_jgUwLwIk|g$Zw72vWJC
zV8NjR8R#2Z#Q{bja!hCK7UqY}=$*1VA1Z?;>9V`qC==WtBu!}E6@bTCH!9POlp*_r
zi6&hN3&b9{MHMj-0*9|5<e0AnU<x@`Lm$Kj4A=F81UN*%iYs9{`w;<Jc7NO>d6ff9
zE9Ijs>BZoOt=9qMO#qf@FGX4-7szk7{To37%zGjnr7Q^0{cgr4*MJw0?kRQVi&DVH
zcIWkRDgoAIBAnkY@<EMm%KMv)vhd*1)bRpi0t{Ag#dZ4$K=Ztx=;pW_c((hwKXoMl
zjYqOSnMDXvjkdNFofKfV?T^HUTmtB&jOv*+34{Gxk?yKLieMtu-7>+g3|CAfPxR-D
zLZ`UpXmUOQzSaomzR6OCplW(^rgCxEZRb{B9IOIA^tKrPom7F&xb6dt-y}gY`?pn-
zvl<j83ZBmKPz8k}$^1?hGC=s%lf&aggs_Xmy@}asAYX5wV&f?XpLqX8c6e)oSE+3!
zof;8}GqPp)>*T?d#^>F0NelX$#WGCjG{I2$fH6{1gvb}Rb$46Hu(iZmAxqYR_oqY0
z^B*XIxj`UlteFCvt^@ITV`NAiqF#G1s|-2m0U?*mwc(x7w65GyZIH;6arsc70=h4w
z2Y91&fHAh;or9SQgB)VZ1!Oh2CpDhbPNKr}xnoySKI_8IL2rlbr|O_=dE^*NE)`U`
zSXW1X=!13^^>4741{m1A`6fR=1^@aNmpp|H;q>%hft&7{5U%8{`vj*#*C6$Nv4b(h
zOALK>k060~ft-E24HfVlE(VuOQ`q1fz7gQ51rb+LjNabV0pf$-@^t?JBwxQ4w7l&~
zevgP9zTVo9bfQr_JJbwzJ$>!GL?pw1q<QM4MKaL&blQaa(jd9_vNTbh407_SXBN+q
zz<u{n8^69e=r&93Z(h*?zO$*o_COtSWgmtq^qYhJflnE;wC(>56ev}_t_%!&lEvLD
zEMTC3efWhT2?l90_NUwwfHLWrH4tF|_Sg7+RD9Eb$ns(DxH2i|)Mlb<i?aYpNt34Y
zc0>@k(vs~jEezr5KT`PuEWmW1WN=`j8sv>p?p?af1zkH@;*XOoAk^BF_T`BR?0K(g
zdG|CO`0ni}*6lWjb0aGI-xU);PO-0$qx3tr<7AqE(s6Sjuio<3%U6W1e-X|e7kh9U
zGyX=QVHzlP8e9*{m4_1w^d%hz3wQ^6W$5go?fJr#yRnljRDX33EbsV>Ut!FB;MZaX
zhih7G#P3Rid&%hNZzl#c?Q~#M#Lx`hOK+eACNc0)dy;v^fEi)PW74M#p!Z!vFMqKR
zbep9%w-8y;9rJVbj6{H$xuu&+iTuFs6UWkVk_~Mb5+m>1VL-ccaD^>^8_1-5>bxL3
znvHB&^>#G{vAzhlWg|9-V4N&$cVI_&V}Qt=U=tY1p{KA!GQ!WwMSD&gcElA^R@rmc
z7#6bm6~ZDnG2`^yP$qG9G<j#gOwwy32rM;zCp5Z@ovicuq}{}Zvi3G=D6Sboh3r9}
z48}RkH}izoZ+A8%P%IwVrEdsHJpVbyG=IUKr;odHF|eW3dj_<j%R9h8_KgiO=RLL=
z+sk#mh!uJ0ez=?W#sJ8dim%QZJ;E<=YJOfn$%<sr1DOm(1DKvI(wDvZ0srI|@L9`{
z6{#1#JYg205BmbccnkAB<Gp$LS|MtzsN6NBR_Ti#?Ar>a3+w!jAFPbq#b&^YdgH{T
zX7}mA&kWt&yR2vNoxiBDmfoyrUu1aNky>3y%$Jva|9Anfs1Fq2u46^qTc4h*l62vU
z8Fq*5^b&sX_GgbqDjRD0R6k73r$XH9p?fU6t9Z$=oT-ctY-qo!D#e9B1;1bKxI_}y
z@lqfBz^in2w2BFb-zm_6vINH?xm$nnpl0b9<7f`lM}MlYo2&z4f6MP3@z}!46{W{4
zGda=GCtp2;UTFi{+WB?iNjhZzgeB1M3m0l;P%%AyP#gZu%W^h|Ga!-MA9529@u0`S
zjcgm=C~zu7GgHoi5tZ#D^|R0MqL$rq$s>^zV9p-Dv-pS!h2=E|b&c|&=R`uer3wWS
z!wwR9SD4Wyse_%>qx{HWeKI%V9T`$L%P#7>v!aDFS&ejS0_a4tcKwGiG6>Gt^F~at
zq2aWir6rOOq9)0m$<rpo>MuNa>mmoTO!_H7cU2f2r0?_mJgfy-a$;eBDO||AjY^mL
zM+EIZKDzVT2`!LMYLl;I<w2K~+^ck=#E_`#8`-FJ5`4?Td9>;HP$PkMz{)@Zxg78c
z3CbZsATdb)9xp$VtW0t+;gLd*q#tF=xst%YSEevqM*wkz{<R>n$)JeLw*D;b?Ypn9
zC-jZKAaYs0-+Nh54#n`YEx1UNK%d!q?glP|NRNr!w{+!^vth1}m?8;GQsW9_)kRSD
zp%>Q5J_^XYNj`337YRfk*$7rV6-A;N<Iq{Ah$`IL#>lrwP#k%-K+#$pB_{I*{>Mf@
zx7fc*zg;H59Q7z|kxdevN|6{jd|Da#?6zwE5TgZcX896&V^Zk$sz}V#gbKR$@$Aoi
z+g|D-`$)KT%b>FnCAm>9YN(^6-)MIx8EQOyccuEvA*OyYn#;I4lG7Imir1yU#`yfN
zvdi-5<hn}l4i^oisxLII@tp#-#n-3$(iM<nla8oeuO>?G>{TDG(T18k*^$rd6p`>i
zahRQ+7Q$QFhTj(Hz$9z=CUsH?Wlq~aAefNR)J<3GfLBzYyzO7Uz@>~<->2cT?PRoQ
zxmh4JuM7PlZf6_GD(D&M_tc;v1zEMRTlAah!%V<bR`5Pml&&9Wuo+E3A?M$W(UllL
zI6H@$p}iW4sPg13DWRa`zXSdxO+z?W=FKFsR~^07+by@8O+lAVUbE+XX#`Ins^6)V
zB_fxYSzike3OW@jXnEes1a9v69zXbwh~CgWnA(^jqX(~D{DucjL8N1=Ao;Kc`lqTK
zOK(m_zM`L-j;aGNu3k@`&(%N=|M9+4X(6G}7g6D=g8;$2Uuzt34V20<+gI~M1BFz#
z&V3FvgM6!3>-3o#XjWN5!o^G-&7WuH8Cx=gS85H<m3C>M5AEl8rm|EJ*m|awIMP5u
zn^>z;PDIR=&MGMrN+{*Np3>nQ8e~;-4A%ctN4ZrBt{|y^ZW+cKcy`g?K2i$RUQk1c
zVV*rrO){ulWO?7>M;Zt@T-bZLTNT}!Ym(kd6-Q{<gyCQt4G6D;k0->bpnYLK0~ET1
z5MdsopJmd3lI-dEk)n*+n(qm0UEo7h39X7x9yCyQ>WOM@RzmM&Zr7$AV@Ho^zLB^X
z4R*K|FL~N1qOrExKO%h$=r+FeN(-57_uW^Qb66hv?BnF?sb9x=s0F@HoXucaw^BpQ
zPY%hR)^d&Lna7F#J?h#k0OXemt<Bsr=#jecqW^^{{L^^Ug5@oMe0JrX$J``Qsfxz^
zM#VndG0UcJS{5LcD@D?2Pz*`^GUJkCt-#YRR*X=*FgSIawEsY;2qImz%m|>=VBcb2
z)AuBpLX_+TJL_&C#O@Cn7gRg3l}r228on|Cn(1TquONW#SvT(WOMH(FY`(VfoHK@L
zw&xSF-h9aKb#{>2&mOG5qiSSI#TeM7jaFwuxY5OH7iNt~J=nFGU(c94jex0Si(~E_
z2fBgcJIkKF!=|oDruF9=f=z3TrF9D{>ax^7@iC<htD4m#S<mf&t*XR27Y}A+`Hf5#
zJBeeet5WQiraRyzQ&~3GK1RfGqEhyyRvu<sX)K+dXaG-wA6#KSM~_zd+DSaW9^<wY
zR(;N&`XF0UX3bH%g$tw+txbg+@UZ0TJA8NRgUaR#Ep6j3ezl?Pi8<#RoU4;ufBlIb
z>}`J-(2~23A7dk_q}=bt6%KdDkofe#FOS$qEndaL)kv<5Xb4}Il{%z<aod5?F$p^C
zE4U|%E$fSrar{TK_LmDksbCcY?LFm7IAJ)i+dBCRt`JF+`EZ;Hw!22hf95XY!qe9!
ziz~k3;y1+V75j9+QazwkrvDG#Z|#3=bo2-QbY}+7!Gk)`U}YsZWcCM7yZQy0iu}g+
z@^zPE@3etX`QY8YFAMm%&h$|+@*JKu+vPQ4qYVp*H`81y7w}%nV}XmG=W(vPPX|N>
zC~&3Q`rwPI1zf_vQ=~Qf4<7s4HD%b10_PdKeA6Zu@F=0;vUed%c<+UMoC>pKaHkew
zD~5mY;Xpk8g~tk>a*?TUB%BPd<5H@Q)%?M4W}n9<{nzlvy(*mSLS#@m+}JqkyokTl
z9~u`(+rWRPMMu#bwBXK@sv;tB33oGa4&MF!AFlf8MT~VE2|^s@!UJTMao-tT>I{Vr
z34He-f(}inm(jlKykiA#F0&mqkETbVpC6l(cr<~~7-g#*wu;{neE62K&VY1yRQBs1
z)qv{#kqqai*YLu9trHtDOvv_7k#bBC5v2Zke+s<5fxpjic`k3tg5-8v@_RB9;e7cM
z;kJYSaHSNkizh_4oj}*5Dek2Xu^Rq^$yQtVH{)Y3TO>G8!}Y-L-0#&uN3wOr2+^Vb
zQi9aI{amQPp`N+fTn!dnikCW;>Cump>ze1E@u0c(gJ;HYRS>SvH)-F`hyo8p5tZ`!
z(6fJ5zZG_=!u>;1HJwdNsJe3{MMg*f4Xal*M10)7H;G0U3*A`I!%42IUfF_(-@z$P
z`kV@+`K`xBD6=8Io%Y=Ww!+9;`K`k-ITc9$kNH%g2nQN%R6FTL5=AHD%{NDfltEpo
zKD|+w3z_bO^%aUZikH8^o|m_M=g9Cy-oL?v!b0>0Zn#S#i7!1<?AxyISb1J65zU8e
zjUEs5HA<rp)$&6hE-J%y(aq+MKlqVgN@7`wx*Xy<{<UyVtnzl(zWx&P6-51q3j8_Z
z<<a7W(}zu}l_BZ2obxwsVN@71;wZ<Zhzva@HRM=TVBx5JghsCjqGm7sVt%ZI4CFF_
zHB1F^Uk<UR;$nz=w}K>eL>V1e&*7|;RR#T;m78bYOQ7@9RnmEis^~%aSjD|1RXDq=
zj_xvtG$L3c&rT+FRQD%ctDadM?yB~VJoAx7gYJgDv&%&E+<s{=-GK;)gRMP7SLKjx
z*fI+Fqlt9q1zX1!G(h$@fBH!)1=QHf`N(x%Yug<cSJ=l$kSDvVjQ+VI8YxnDJhMPX
z(W!@mJrl`LLSMZ{R*`@NkK7tbAETgA+F|kR&lEr!FTUD5P)0X{4tE+?X(L<hoKul*
zIxuc+<KG~vil*27=2=ebpg<<o#~1i?!HJ7N;Ez{BK4-<d(l&I^nOr-rz-c|WP-*$y
zWmz2sJc<-hwxObkiq*phe;I(*0esbeyLZY~YJILARAg_d-Eo%P2);9xzFs)1iLwWt
z*5(tbD0A{(eul0ITsY!zTs44%;)=ht9?R5032$@I0apyBm;0S#w6)M4!d`79q>V=Z
zGd*qf65xuY<I~zwEi_Wye0m{{f{1=s$E}{5foQev$FpNvsQntFu!{g0ozuQ4ofk_3
z{szhGE_K^pakD>~Q>lS2GJH%n#mqrsDb}vRLJJMl{0=EvQbnmF0v{|}%^}T^Tw4)J
zLhSUq2k&tZ(2+iAfdM%S_~N*8mES`X>2-<cJeHA1OJY474Ersh)A@7F5B6;jIQy4%
zKb1fq){>j@_E|tSv$5@q5Ou`h|6?F9Ul1`o=Sq36WC230ZB@r>RS^f*u5T{+9B5Od
zb#!LL9B#im-C#PVjLfVaU&+<q!jEAhzUyJ;P|le%zUz+?3f)zC|L5j++-Ea&ZwIG2
z$g{5h-OZqgl)frI_uAizrQS*U6B9>+o1SMWS4HH}bMyJY8^JS}{YS0!Gi)?)(imoa
z6Ci`84(?+#Y+c396xexWMVP@O`^<9w5eej}n`JBcYYW>SH}9*p1`zpeIMC;!D5|a7
znZ6#y0LD>65<7zch(X|Ba7YLVdmPzWMq>hP0twyzih<Cyrk1EDKU%v=Z=d173^)Ci
z$~k6Cq06_azto2tIa@SH?U-hUgP{fKRa+(yEwE?jT;#U@*EmqB3=6O>*REAdnt)8l
z?o+bDOz5oQa%?m=3yc_4&%7}+hBk$a95-P))O-6!z~)<K&>NK5b@7Z59Q{r7n*6(p
z@2DaqB%EW0jD=Uzs)dGdA&9JdFk!n3YdVP{e9REMgMLzXdI!wd6qbkQ|G>l3Mlwta
znc$Ay5EnCb2ZZruclh^@;u39j0YX+xK+m0Uk15gsG_F2t$X9H~-^tu3+}vV>+xH89
zJ{!^p@<T?Balxn96OZMfk1dSwc*J@7p1wXrNIWd1c=cdEguPw9<uSrt!H0~__w=Cp
z$k)T3>0{ViUls3%*^J=5Ca&~^K@Z;I@uCXtQ`nb$n=a`(Mkq^u5M&Ub3;zQE0RR6K
zS9dto4;Qyb_8!@n>*5;s+Vgv?h>DD&lp>>&C}|QYX(+3o2q{z=LSz*8q@rY%Sww@Z
zLN*z%_uuoJ=RD{6Jm-9dcNfRpN$XK!s>RWXZH5&LZm18p{m_Fq<u^X5s!tFjbE%q1
zTiAe0hBW4~Ll3IXZnUFZnj|n-@^R~XHmGaO-jLX#3)8|AcC`1?#73tLDb)e&klcAn
z<HUAdxcz6bV_<5Q;55Jg#zBn(J{%+$&G*njYIrkUTX=zZB`eW-L4Xr{qsigC0d&~1
zZ<y{z{YOMiyt;9BJr}4QyOdTsLxTsK2Ly#2mI=9AzQFFp4Vl09&acGLporCMxZubt
zF&Mf(bJL@BU={dZ(UJlUyl>js#CI@(q__854>~V|9uJ&osL}zE`OCb^tIQCV(4Xk^
ziw~p~d{=LJ>p)3cYSA|%R?u8$^)u_e04$4C-}{e42biPDRG;%~P}cLxHF8`K;`*3M
zMf|lvu=7!K&Hy{?@ln?;78QnG2mRCW^;)p~l67F6Hz#x%=}&TP69LY3>Z<{!T0rTe
zuT0Hw!Q?p$S+i16DBdlocdJ4ZzQjtcdamuADw|;;ttSpeAD4bOZP0{88Lm_MF}$F2
zf7LIdO#-w=DJ8#tP$B-k7i&`#KP2frP_eiv1vfJ|XI2xaFz9l%yTVlvrs_MSm7>?f
zoJPz_j0+W{oh7%KMF_#~Z%l)45@aEkR?hlZjS5w)WlYJ{!oV``<#g(uJj9ctM%GDD
zL1F#xYIiA7u;Zn3ridy+%$D0XZ;+?}E<ZQ0T^EBBfrkB;J(ZyTYGz0NCMwj`-MBTY
zAOWj8gB!YvNl+=B9w&U03MMDxs_a`Nq5PWHRF1p~7+U+paIVvY?yl~)m?;e^JGuL|
zWs%{$j&%|Fz9z)EN<1#OBm;M!ef}3rrNFr#B`LmPT5v7GO8ITF97w$#Ot-C7gU6XG
z*M`Hjp=STS!ehG>;OBwDr|te4K=@ttnf25G6V@5w^O1^B&%qmUj#CrlsQa?%k~H`k
z(Eq{rkrJ?6deks*TMGhO_{kpgG*}$0vw!-X1o0il|8)xMz>4M0l66aTsFdF-N|93m
zzbp3JoNIO9j+uXggt8ux*$+!(d68kohn>^Qmj*&`-9s)!A6D&xM*C7#;qWt4afcr?
zu-HDPsn=@&$_+mnD&A8-WT8Y!*pv?G#~3@V958~J>1k8$Q8m~WLE&lhqeEuOAyF*>
z6PP+~_I+eZ9cFS18zOenVYtlqNbhS?7_WPCf}=+R)Z87vT@k0l>;<i8tw?iN_I2c5
zNT)&t*pxIS)4<$$yr7RpfXQR)CtVaxh@RJ+6K~alML)Jzb%6kmn7F$xQWGAD``B%I
zsttjTJh5%6mf-bVrt5sFCiqLnmc}`20!@3S4x26Ed2Wr@@57ofTD(u9HB%id{c}ak
zc3Oc|SZ}1`8onPkj=Y+GstP&cU-H9ht-vQDIx5DS3XLJpJfrR^gYj(UI)4FcD2~;h
z7(1f@@Aq%hF-cT}$GqB_<NDU{EAVVTzrQ-{@MdJRX~@DdHDJEL)EZK|g0*-_YEa);
zv8myz1oXGYYZZ~K;fNvYN4Y9hxK~!*&F~k7xz%o&mA_Wd)vVe*Zcc{X(Mm(FZu7t-
z$8Q0pM^+#k+MB@nR2dwETk@#)Ss_LyhneAO1x4GEy4|Emut}*}{dn^Np=ag)PjA8!
z`tr_>w4GOkfxQcAgPwngqBCOm{m)xM)gJyU<rDItJYB?S{nJ4hoq8LUCSnOYiA}eb
zCS^c0L1M>+ug@6lm(I!@$_DtVeNS_}lr-q>8ag$*@R_lXV^#U*+8dSkz8BxMUjjH=
zm}f?=^)s{>jLkp82nhFfnI0V!g=}|`q~?NQ#wl-^FufEDc&G7}Dw8S<IV@WbA8q-~
z`1@Q=l&!)XB+1PiUmO<%@^_~Q@10|e{BBlH!G1G%B@nG%A<PHImf5%}^2Zn_UtVl1
z5;Frs?`$Es!3{AhLfvLuV~q3W^=}t9n?l(8q2eD$IH2Q8j_l;~-;62e@9&zgnn1><
zvz}+}v4ReKO0ydoVVLpWd%5t@7zBfZ8aAji!z%Ai@qG<Lj2e%m9=fbCi0o%ou%B2a
zmOc+Uosay*7^#;}&<-|&BQ6K)i$oR)GdsKLEz<pri6KY%+&6|Ge<r%+Xz?uJ$DO1i
z@a#K7Jl0#zUcnIZ{nnjJ$0_1C-_|2}PkI?kZW7QHWdM&PCNICG|0OD}S;)VU`@#s$
zw-=N6r4Ji(tK<`x{t&0U!zO99?Tr62ZR8rA^ua5+_h2M_gdl<pCQToGWHe?!Joc_?
z?SENU&uh*6A|~1VXcKonFfOUB*!F1aLC{@O1F~K}F;BbfaWVJ}Lxg@>{ac<cG*tS@
z$A9}yOzon`ItIUB{EPCx{#0HU{1k8VTYTvw>Yn8|RW>|fgbzo`s%6q4cA8^FE2D=f
z@p+zj=fow(&By)*T5@!VTCdZfJNcRL`5kcgn9XfsZ<WmXyLV~udeG{-R(&U7&@0<L
ztY1vzXl}c8P@M+Vtad*FMLP%_x$a;o^O7J>T0adbUE`sr&ZRqFw-JtYsWzQ0HN^0t
z3b%A?9VqJQ*md?pD>0_+uyZD~j&Lvimz$ff4aXO#MN*_zB79ILXA4sUkzne&!0|~7
ze3-T-2-SQdn7c@$PPQ$?ve`DeE|V6t`38#A-uXlf)ZW=scl{ILwo;tRqNfSv!<W7f
zzg+7-I@0>(R~zxF_J)x2Au0$c+0^?8v=T21cXxJg?IiNZKP2WKX~2V#qqj8wYb8=!
ze-m0=pNW|r*B*9_s{<>ZU%$brjX03mJ?IhLL)hLncKK+e4(|<)u_YU~6N^?e1Cs82
z#J-?wl-IFp5Xyb6z1^*Y@FhPy@<Q`F@zpVODB&{&R3eT!W!>o{ip#|f4mbTEv^xVh
z<Y^T6JWoGtsrZ?wJ8KxZKCz#W;^+V58m|i5ud`xn`xk=C*E{a)sb564ao-(@F*0bR
z4}T-q^bitk3l~bR4-r&bK^}KkGI%t}E7lM95?qn-3g#Un#My{fstYewz=6Gq|Kfvh
z1oz-&lDOL+q7Dv@O{uGZ_UDWT7goL#61F1x{hSj-?S4|0QKmAO3~hbae)1==Ty#~+
zBJM9SX<%eiEusvn&$W!ZWe13!(2f-j?I~h!#KS#N*GLfXe$_2x>=zLQxtEfdW{5_?
z?S*IgNRS-zjy66%M3{b_9Lr;#BNj|FR9+`2LG@lm4>Q$Kg2Lz&zF@dOa5QC$drB&S
z(iLUi*0euFI#>B!rU(BBGBbObN3J4_57?#+lP3r}UuX3To-0I+cVo{_Jw@0wRu#mR
z_m{X)u72f4J`;G;;^}Jj3Xl<1`%KtziikTHRpYyb1vqPk`~CMRKwru!eM{LHg2l$H
zJyM<xe%~AT`G-{jnDP%US}DvCpTG9$Jy7I;j0S9VbdiUh1-%;fo(n{m%JDj>9bDjC
zw3MTqF9#Iv+9<xJf5iT%kAv||>)_uecacIqIZ%svvNCvng)kLUQQvTZ51c2GV=hI@
zLe$fR9f37W@Ok7NbDWhRxCsf{Kjn~xho%#YWd~RQX`#G1BSKKtppct-TLyCOS!X5_
zY@of_0e)4BfQ9b-+(suE2=d?Ud)1Z$&XI3?I`>)(_NTB`pOKP*q$8c>H=?=VkaC7g
z?~(+B?@^p7XORJN;;b{<!a8W$$A2#BurwsJ=A4WXT<aHA>W(Yo1NDnh5_9sh;Bc@w
z;p#>i__Z<0G08&^=7bi;-MJOOez5oGK&cEQa9TfEw<-kLNo{-E@)W_r^XWGeZ&|3n
zS@CyAvk3HDZW2`rAi>9Lmk$VUl>_%vbH?`@#K8H`#nkOvRKS)sWCur@Jk$r)`VK8f
zfY6pS?Wa3cA>POD!kHWen981d`O;GwTy>V8D_v6qW!^;B^yiB3o7^Zt8Iyrr?h_xz
ze`tV~_11&Bf+S#mv+FfcE)TmCidvZ5wLo*u^LpV6Wl$!*-s#)9b{9E6eB^?4AWOF|
zg?LMb%B3w6mNQC_HN(Z@`<w<mr%nZJFjfQOcVE8F<tf96bGd}<KRT?=Hhzv;^Nj_h
zxh|OlWFYBZO^c)H!H&^smC|@^(4m!UbemG3PBLtSyh$G(cp4Im)igNqpo~>gL><Ci
z7opF@0GgCF{S6m&A?7o@F&xl<eNMf9<3|lZ>T{)MbeI7wvAWL)=4pcdE16~$M??6k
zb8=URvN5dheCMlbtqoc^Y?|SAhA=%G?c={_3i?tOr%Bs&;C@ww?fH)e5O|T*+vA%B
zl+#6XY)5pUcGHPu+Bba|`ZoPy(^r6j)YBgRE;I-cd^2BgL=Wzh6uigvtl(f#=vURX
z{2^1VR4blDhvGQS0KEWfcu~ezVj4?>76-nNq^&woHW(2y?q>r_<-x0>4m9}1Z*O!w
zO#`k_6Y}E7w&1Wot#)&p4$LcWVSR5;2J`Lq)ZIC@@QiD5@g7A7Oc%Dl9+*~ugF-u~
zn|o|waO2Qx>swlou6D$Lt4snW`<XY|b=bnq{=FX(Q>mciQ9pI9j2GS+i+++%w}pU)
zLepEG>R=>!n6K%;JR!nj>iLIm3pl7O<2a)V^Ina$?6!>z7G8sQ0gr89wqpa&^#~P+
z)c(2}P`b#__$t|yEMx<lx4cm_WhKFmxLAj4ksNq1%j(z9gVs<p-JiBMMFGxy{cgWK
zf)B4S)S_Bytl+<S_w_0#WZ=a@S!l~vAza;J9^bs)3Sv}OD>~UE;VRGJUSmZORCp65
zd-;?l)a<#W`tq{~gq?m~xa=y5n}k0-*ZB@WdY6rcivsYS`yERPpBQfI#-R>p0K>UN
zh1DNiu$kkDOk<E3{wq_^yPixy(VnZ>Oov#2RvW{dcts372VCX;OSOP)o1eJ}lNX4s
zPQp*5&x)akre9vgV{`bsPU(?=?jJ(;?WZSU9%5KlC1scQ(F`s(WTR4K8}Z?1!Uq8r
zF{Iv#ZT!P#1}NaR>bqFa$P-N|**PwX{!(#2>9(ezl&Jq)e{O)$DeIl-#t=o3u#^AM
z6HV4~8~LP5(_hAw*}K11(?u~SOIW^j&=|Ij(dt*m=NNxuU#WJ)ilXm}aVN69G3;wn
zsB}27%$Pd0=)8WduK$Ibw7<v*RMWg8IxUz{w%PkB`Iab3;Atghk`XxAyLx3`W<?_&
z&xMRSQQZ7+w&O&GAuL##d2h;RM<*YFm@Hl~yjfnpcv{vF?1p>nf8}uEzF_Z|(F0<5
z%kuiq);t6FvrAID@*Fqf?ICWapJM3ONb}jJZvY5^@4Ytj;G`aXnQ}}VT|*1#Y7P4E
zR@E`QbR8eY{cX}sR+PZ@)L2%%1NvZF%=(!76+ebmgr0RDlECEnaGpm3`cQC|>d$5>
zh>S?f&EfAQvGVw1*>^AXU_1Hf>w^+Pcx_LW%bzz=XcJ6V?F!X{A7A(I^UVuk-VTqn
zJ71)6e@Fk4$(m0~3&}gR(kqNx)C6Vrt&>5&Z(DZz&gep^*YWeRO(Ix(D@kb3RTfnO
zcky?=(FL{LO<x4paQW7rI9l{v4u8E3?$yfDg}}dzM*9z9SkXJr#x13QJprfBiJ#Mj
zAfacXE8XHq&$SXf|3d+{h*T^)hU&u4!<BEe7A5e{OoXOXnIdk!Vji3oqzgQL@$PA4
zDXjR;Rr2|U5++B>PLGD^LVDESjMBZ*_`Idm_eul_Uvi81%U#ih%FSP%KYFwtcd5OI
zN()j(4Sw}A<U(CY4mSS)SU{)0WzQyy*FIVvV&AKRadumUXZm%)`SD=d<N-PKOT2n*
zy9XI(U-pxZsO!Pw!s^k~UU_tBcDR%1q>5ddM(Ux_dT`-Mjp)Y$1yt5M#;R;h!I9TF
zx9^VVfo$TrtjQya=$rfa$Do!P-WFj>Ip?nr*)wOa*_$Y#skP*71%7obDd#$GGoud@
zA<F~8tR&3c8#x!-t&XnL0FJ8v48X<m+z<T^B=mcD_4b}b4Ggk3^>%PD1i_T+(Z&hN
zXlc=(bWe?n&hJZaSMeKxTeW+{W+xS-k*+;5&7vY-aclC1A4ZVX`{tJmI~nu&7BY2*
zsVIGGz`?J^7?f*RxBf05V_v(`Nea6rZam`V)&Ix@1a9@n-LO~1ocPDq>3^trruOMd
zZ@MWA^i&NpnpCkcCOvWMZ7O!SBphwOYz8bJjb#6sQ_#BfbNCBMD!$)8DgH6s9QY*N
zwWO0NXm4-+KzD}*&a!qUrFvRG?$F*ddp=O`q0`Akn!h?WZ`6t&(Ig;9-KG3tKLxY4
znus}Bs^K1<LorQb1VryG_?q;Uf);&0a!8Y^7{VoYZrBmv?KwW#E2R`{*7fb1iX!8s
z9QPCXNdQy+|B8PHQE+J4fnqkNj7GGtajx|MzQ?s&=h-MIoB3u;(VK(?0n?gFlK@>>
z-cBFRs-oiY1*`5FMbzUrzVn^i5|r8P^xzvAuWVP4kfkc17-uDANXQaePSwvhsgbc;
zM<>hNP8QS7dp&03v4nWeoh`ffs9@lU4>qUQ?lI5NZM*+0K;h>SX~{Tc6cyUad%0Kw
zZC~EI5!DW0<68UHAdiHxEc3HvR$@3Vo>@4S4>13(rRUoVC0rF=4pWg3!MzhfuRV_e
z{40~oU~N%Ebv4!!VY(1X2<!dvF$OsJ)6vIhKmjX~J?`Hk3t;l<m6Iyt1k7rBxA-p0
zBmbR>DW6bY<ass0n&GpCv;MzY9}77w^Y2M_G+&2*j1MW_Znl7RQ63)bNit~8a-@?U
z&4sI_+@70^EP%6&ecRGMX>9!$?$Al+#E5|FD+jX7AzXMdRPL-4wkvZQU9#iA>-N_7
zkFc7<kH8*_)3TEIY9#Y_NeMeD#xPcs1I?i9{ixWHE^!nLh;!H&!j7cI+@6{yQ(zG?
z7_2W8!&(-H{FSx(EG6Xt8kmA#+&bUpd!iV!zEC%&U~SH`kdMlDOkm>OZ5Q845p2~a
zDJCg$U~X!Ae*nJ;xOjZsx_(p`oomLL7hiLrPt4J0Ly^W1l<B&EtC29~ZE8`;NZ>@3
zd%MP_CXL|4-eMcWJ3_c}hN*XZ3>V5iNjG_azzDwCxK9iy3*mg?wZ}|p+*rJj6@UAe
zAv9{Hs2!{k#J+}{VB6+(c(UN}iwFLOU^IBkx9x-=X5@WhzopEJ7w_`#5nc05LG+%d
zhIWE@n#!}Ja+41Q;~Q***L>6&y&H^5svvTk&*tW;31EV?+rc(w1Gv(ARR1PL5HIvR
z=YJ9;h%@(|d`d{shos$or%5J)D0L~4wCpN`fiK?)$58d*NqvFShdqMWxU$~O(NP%9
zSMT-xd9Mc@)pnHi8G=ZuXPUQl6+sh?hv#Gt=|PRVdDe^3wK;Zv-DN?dNH(Lo?Gx97
zFM%CHp-w`0zxLX4<V`Ugx^l&oT&oMS^pa?~Iw5>M8q#~NQyecSwHvma(S^erJEkjL
zgz?t<_skE~B~fU3WUSXj7l`LC+P6&#<0Y<()=f!LxDYF6*2km^g=U@|BKJg)E9*kS
zQ^ED<8|qthxS0;!y1ZQq!J_zRS7<_it_;?RkmfA!(?R)d;ovg|G3;<R{P5064!@=?
z{aJsB4mBF>lPqT9=-X%g`x%!4-pCO<*maB!EP|>$rdASohW|@?@w5U43wP}Z2&Tih
z${F_XU6M!&)iVznRmAsaB{&<8(jk&|)T$s}3japl9#Q|Tgvwm=RE3Ll@V)yWtniaG
zw$;U)tC}I9DC_Bn*nB!j+P&GpLzTe?AC6aC<xoL;A5IbN9y*xF)4nd<ltp~@&;6(j
z8Aq~@dO9fRg80Q_+jmRK<8!t4I|X{GxFu}U_myy6i1>21bAy`#8r~gDZg8aF#G-Nb
zj_<lq!>YCQ5lIm(reD`*?ovZPMIHk7=z&E1m7YKIinue@T|moE9c_l*xj0Yj!3pum
zQ}9U%`@}9huJzKu5cA$wO_};&xZo>u=m`m5OI>qaF{h%ngoNq^F9V3q=4NiWsEp&w
zPTRjQYhtDN=9(OBL*Qz2sou6*1;sm^uCU$FMB~510Xbqu(EY+V?Sdv5pPdhFkPy|v
z==%j9G<c2SuTE~&`M+e``#E=&#Z3#3$2V_c5i|i?t@8g2?x~_$#v8@6JG3w_E2)iL
z))WM_lLxokQBZH^vUsAB7OJXkkT=sZ19yRwPWdeqG#Y=>z>}|uOK&S5O_`g6B|S1<
z!9orB2c6ql*L26JAneFLTMLjEc)3IVsv559cF&V0G;m+}t4m`90VY-FcjcF<p~CBQ
z^Va9;=qnwfS0@bcYty!=)ao_ez15_vXs?DE@f+?Wo&Z>?=)PBTTMfOBAHN><L=~f6
zANn@h1aOOIZ>Q8wHGGt_O_O<21+|L1&$5VGLf}}*{-=K_SWwcMDWar|L(h006mPJE
zFT34{$9@z%GhwV?=b(fm=RC%f{Vm}rkKbP1N>$u;*I>FTTmju)dvH!3wS-E8)k*y+
zGJfkdZR_7Bi|l)Og~|_Gf~W8FO*1hvicuZ~`0`0(x^{@e)}5BnXTaU2p`wEN8G5^u
zXT)*alz(fCktOWP%&g|3DC5V%@=fikqIhib%r1xj>y&_7SB(-0-%47MgC7dvjA(6N
zVKcxspNNed(n?r<ale1}DnI%&-=mhr17uG}r%DPd;)BVJda+JC*f1E`Z(<7oY2JRw
zuYlil&o(!ibK$>>r<p&k=}2k+^r^#SIqd!K#kj~Tc1$nVi3{37fQ&V_zLSj%&Rmi;
z+SAC2)PIzW$_ExueMx`R{j@YTDK-C#aA(2F;7vuZm@Htg<-OU0CP|Eoj56(XWX3x^
z&wLa;%whiMjByG`;Iix>t6~ll-ZPu?Qz$fp*WNa52S177t8a%)JGL+(pOVjwN^UbK
zEH!T$JTHnb9rbhKteKFcs#8|rX9^yM*{@YRMDUC><FmkVCKPWZQ?9%*fsT;Q^^I%%
zSo|VMJnI`1MlU4HmXl53l>Cct>fS;)oZOT0>I5@hCw1ChxM~dcitYCu5(P24%QDf!
zm<5%C%-Gdtjo@s;a<*iR0Qwhurk#;x#n}osrDk6vU^_ZXI+V_j8*5V90~Oiuxk7nx
zTDu`soeP-b&F4eU3?bItR_u7+i{)7ET5kTJ)^2lRlovP3I&#IX<-334n#b4G8o=V?
z4;MCi^P;2PQczbLC&pM6)(_YiK!TFKvn>lRep<?kWU}SP#@{Inmv{OwEv#be|A_~s
zZ<bv8zaFIo$ryz?ulY%XnUaA<9=z#!a>KDOUJRGGD&YTh&BvM*MOaSppo@p$o)&$6
z415|E=yg~R{%&}fN?7t@u9VDyGwTF#e_q^7EQcPD(v}LxpYvkjOX`maZXs;(Ds@!M
z(FLLV4CP0zd>AewDZfWr7`rR4*@xQd!VBPv6_Mb_$uq;+D`q12Aa5q+-5)xXI7|Ex
zU=~2t=Dp%VM@3PsY|=h9V~vM*uiMwpC5Y7{miLFM#Bk!q^I}OCI?OXOE`H1vM9Dh&
zBkgh$h+#&=DnA|WC>_qua1%m@FAwzPQYEpLloi>~N&{IpT3NoNFqVdoZl6+>#wXQW
z#*{lWxV)h}E%>i6HVABM^!~ISR|%o$kH=|nX5T<nP@f1ESF1J|q{^auY5x6e4;pZj
zJet&guHBVE;j`s%c|1xj7>cu@fk@3nI(b<PZ=0WdJXEfL9QB2%X=XIIeeR=to2CR-
z>3i$vyjH~0I}*_=mNa;f;pH5AOcGC({F71YR>FH$`(;+$X}~&d>9(&;3hf)eOb4xy
z@bpJD;iZ!_cs0o}=I*c_4^j7!IH@Z5BY)rN15atd^gh4qPlpVy?DD$XzL$*qDmqmf
z=4fj<UsHJNNjbD&zJHlDQxy|0<qGGz(c!h%fm}XG1>AQ37w_O_3cei|*zI3OhXbGW
z&t@+vp!x4C`(Y7ve30|E*=MURR4CjvnIBTbTiMJ3VYV8m{qVz;{3%`NzUXz`cx`Wz
zOZML10aV-=-}h#?Ko6KNJYwbkNW#2R&Tq?(YGO(WFP~$KK6v_tY>cW?#;=sMfVf8s
zMP?`+Rv`xP!Z*8>@<Iid44tK3D{JFpm3glHVTO=PEUhfxC!?V5NLyr?HY%JA7j%v{
zg6k!>ElyriMUA&D-=A>mU~&_`x__B5H1y@3c({XtPn2u}=7n@{kL$;dUw=$s!*@%T
z-QsHKUU@^tbxa$Z|HJT~>Si!;wA$BsO&7%OWpy|0*GB2{Dx-k`=3t$dWD{(pj&g=}
zuM$(VFz(eR+qbtYKy=Q(R_2B}n(91U)C|$YnQ=*h-wXm`d4pokzgNc*t>{NR%v3a$
zFOgpG1Mo_F)zbM%9l5PqW`bPQ@rZm_ibD^8-8Dalt54N2MdVF>=OGFnSXUO@OIX6?
z6S;e%yw&l400030{}h*ZJk^gE#;-lHHz9jnuIn0E`5c6Vh?Fvlk{KyqB1xi9G^jLD
zNhFn&M14*g+A=FLLS$xh&7a@@=a1){^E&7KJWnpic*gsw;WDP>9n7$V!D0Jyt{zQX
z+Nl{x1r<C~=T0ksX9=BG-cx@On&_z^errNP3H_qm$DRLLf?HpJ`c#w#PK7Lut{Yl|
z?n%Yh>nAKBOk(q}eTF&~UhR*KY+j8UKAJ7%4p_pr5Hsx)r_^v8Bl}tts}u%KANuwD
zt0hQ2nB}gBR7I@^zlP)!#n3#vaPZ_!OQ;jtc9PRY1=|aDzTdu67*C|>8QcuCgaO%(
zYF}k#Jg_{awHNqNC~Q~l9c4=x?sM6^Wl|Au44m-uJjIQV4tm}cY6hT`%nmfxC}8fB
zqlH3O*imt0<b-@8fUDAzksa&T-~?0cRDdrF$_8zWexnHxT=~PKonH=R)W&$3w-?C<
z8zXJU>jX&MkKySVlfkh&|0$<EW0GlM3wP)}79e%=t5MaY6vngWH^2QkP5znwQs%5>
z0YPW)=toLRB7f261eZUPWWjTzp!E^!Alh5+%Yv^s9(!|k=dFqfve~kg4W65Wn)&xj
zZndJ=;AZbdF`gh_&fcfXbDBff`KG_cz9RVa9jn07`U&zxRdimoyBRF~+o5tzN*KSL
z|KR!N{RCOjJ7`jR*A$4f*`|nIK~z~Q|3vV?BxydOo+>~wh5sTy<Ro<Rqv_Sr_56KP
zqzRWsUa6-EM1~$cxLcMFtIY$-<af`IrBuu)tu%&F@!l_AFY@9a9p#j>QcQ9W?*A;I
zU<{YL_|LjK@*vw!OBsjdIZ{6+Ug&qqTKFk$FOX)!jnm7IULF@-Bu#B+>IA2apxJQ9
zNy?K8A3oYp9^tS|-W6?Z$_+3AqHTkF%Y9A^Q_;DU)I`BUL@{?}n<3!0AK`s8P82z`
z=TW;PD@tVK{p#Ch2<bik<~gk#m~8#oSaly8YNsV{yWMO6d)vJ>JbJ`|R@xk{*3Img
ze%g7WZo2_Y5BvO4e87QTRJDNXTR73<-Bj?=-}>N?mig7Oo&&8z9-g2KaA8?N(#co*
z^r2cOVRf%GC&HS%q^xWn<nS$7c)Y}b^LE^Q%p^{fmi71j=C=y3Pd(ceo5g_n$9(ex
zB3$@a=tJ0k2Yyt3>1%JP%K&1Et!n>kE-Vt}$=&BJi18NBE)cbP5EK6BaMnd`<W(In
zoqHvOnHTE@%Omx`^}!k2lG8lsdS-1IeOMT~a@OykTcZb;zo={b-r+^AnlPFqO%%ib
zxL571qeC8jbmU^sDkN#^G7g;(Ltj2eiLg{UFweA3#BSin$WOM%RA$9d-q>jP!Uj6*
zj2zLAY!JZIGza6pBuO0b6S^2HNC#7Iv*8SDA<W@ED;`giMz(Cz6SrUJLhw%$p&W)V
z&em?{N}ZNLJ?F<xong8#w)#?N+gcI)vF6O<=yqAmh`Qi<#y}UcEzc*~Y!St7&eaJK
zee(FQ+C{KKNEcSI3%k^(h+&Bj+q2cF3b^BN$9j8CU5F2R*>Rv*95?x@?LPWI5gRK5
z?6M_wVQ;{_h52=o`07AQd0wv)CcHP`>$lT|!izyiBv1<LBTJsV*HOWekiPQ5E4px5
zuqj*9TLu@-O@!V&u8KR@hmt?=(BbmcGjBj#7R@e3o>Ayk!)pa$Tbw-Uz&?}sYN$^R
zZ*JMN!^Kqt<H)0}!>{QO@#PM=rg07KKcAIGf1`<|QsLPZHhOTzgN$JvQowJX>#b9a
zsQ6!p^5HvOdXN@y*ClvX5l_YUZ+U%F8yP*hDdE=`(85aEy74RHKi_<n777iU%)QCL
zNPXxUJUXkSp@LiOW;Qw5>0<Va7xwlc25`1Frz+V-6@}tsw&xhqQPv!f3?~>uMO03)
zudf=K3yjNee@I6G@j_#<GNYCH(A^DD>iF=;mENQLdZ^B$TP4S83?7=hjvFUv;J$}1
zW?$IqVfN9)<;J}xklCp}?hvhseTRQIQ@84&OyK9wn|_(X{(tqKx4LWLHp{zV^+tO5
zaPYG1;0|+`Y{;iZi&F7YF^3HChmL-G_jMirxejjfB=^o0Q88uhHfN4qbmXY~Dg4ce
zfb{x|p7-L~Sit7t;O?S}VK)wr#%%>K{gqQwyGa{U41QCdCF)@P<;*PFG{E+kM;rIK
zYU5<+U+x#XsTkCeV4;1?63TC;e0?LYjSko241?J<k+SPQ!L${Quzg;x8GcN~xhxBL
zwiq=OkI|r?-Dm|Z{H-t9#i-c0O=~vfyE5u8e_z|5WCbI~BeQv|wb0kdDn7_i5!r+*
z>4i6~K<WiO=!&f-UU59fvg{;>TydeIw0tYLSM~hhSyc_BZ22$TAyx{j;)>&bXIR1g
z#J-BteQG#UXAm^NBZjeq6N7zzRxrm|`r%lXD&GI-d#FS}2#tp>DtuD0f&_t=jkX3V
zXunl=#|;%8yy)~GnEJyKJRQSY&A%$)M-ivACp0!(mzyk*kYEWH6nNk81}UO~49lB!
z!3(7FC6|)}3YO5J-Fh^FR{^Wo&DMl&o+N#9N{VEw0KATbPKSocVPMg>>izYDq<YN~
zpYs-g^{12KEqi6~+eGg!ZniFRw4UmJvY7yQy5$jfq7)7UEnF<lX(A5|el5>qCxBv9
zAoIXR0;4=puyAV)S(2C=)M;P=7ff|NU)2}Gr|L()*i}3sS>ir%<^-;TxF^?d3_6P7
z26^(^hv__$^;ksdt6Xz<PN{lRd`<}W4oxoEhh~#Wa}u=rHZ!R447yKa6~L^M&t$GE
z-yz4}7Wqpln8Ak5dx^*NSE0<gpt)4dr=<G3PK%NNQ`jml!hZfSHx7Ib8|j>{CX;B)
z$&4}+xcJ8SCTlz=?mwts?S1bv`DUMX=1oo$*f*K-SSo`Z{qFE&#e8odcWGZRd*^Ko
z!-K8AM%!7Dd*gqM<mR8`mEyp@x{9?hN3XnlH-rUiA3L(4R3}+h<zaqJW-Z9>EGmlE
zrC?m$q<=_YH~GeGaBktK5y)f(sx&z)k=6tMZON?fC1oAh_J8d+ge#{LIlM0{kmKbS
z1V>#5$ef?kW+N*+>gvyIe5*fCUaL#b;Qu>J7G4=IUiZ-eR=vC5F~4Sx<P8o!x%a~;
zDc+p%GY<^FHLj<<#EnUYYx$Zl6^)Z;(p;{xRqBKA-`wIYA7)9NbpQ91tCM8Y<-hUH
zCi;+6ETN<kH%mHy*t^%^+BEq}sO8yzl?<5U^CwgTXUSSdR)a(7EQxuh8o`zfFrSt>
z$Cfrrx;!?e4|mRy>()`iR6gm!pMCKcbUS9rjc3p2rD-pck@vRC<$CDBSrKaGYkwvg
z(Q&k{_wq8y^gGMl)=!6N;l8kAvU8+M6z!#`BnzI{k$=A<o(?b1^`HI7I#1T7bf^VK
zv*O1A!FP`&>9GA*?3t@l3*-+6DV?EFHf)V&%)brP1$F<Mn@;#Fl8bMf-d3OBz;i`T
zMWRJC_@-DqdcSFj3{oGs=V;D_<qCOWsS`S2`ZW!I6BPX9&dRMQ&V$eIWS@$%(E;CM
z1J91>vY@Gp5r>HQD*Uv1rk2RnUeOcOBW=ctMwFm#+KLa%sPf#fn_U}ZzBKIKyoU|1
z1*x*Vy&{Nq@ZwtB0V+sT1$K(uXUCaH>g@+&!nmHzi@tGC3r_pX|2!qhiA9-)Nxp|f
z@b2d~vX8^HfWPZ}I`s}0di+a&H904WthdA!zEZRxC8}6E&yxplT4cJ+-4MsIe{Grl
zIhqh~;adF<(^a^d`}G5X07<->;CeV~lO~9_6R)Oi`Egz4o{7)y(s(u+?%fs8gxdV$
z;x5MpadhkY;HrJA5e6<Y-Mcj4{?I3mhfE<XY&@`i?ISsyKFMcA`>X*Qvbwf-If<Z;
zP4qDpVFkSF_WhS$tp=DX=RS^lDT<z3cSeA(BDOjTwYQFFz}rnEf8{1|oMm<ed3{hq
zU->Fw9bHWj?y{79vn+uo&EqZp_9_^jQms^$r3r5Jhq%Y<rSJreOXqs0D&7dWSbSDR
z3!0tZblQKA!P|;0X+G)dsBTaw7uKT%V|um^9J^&vFf`<Qr=uo{jU3s0poI!yUve04
z71p5VqmqU}87e9`Ydn+T*MXV>ve^a|aMHkLOUjrw&NFWJvmB?vVdq4C1&R{7_tz^u
zd{4vN-rg8%MLJYG%QstcQbzitv0yd_I$D?~vfkCugU~6RV3q<EJW&nhTh#QBvRFG`
zx19lN{Iq`>aj9XPTJOWm5j|W?*0ucdL?6_pB#feh)R9?I+}(DCf!WI_EpBcIJQ2fZ
z9cwf&?0d}qa7BH*K6qPJbifF(@~iWLloq~!>guF)NFU>R(|_bYH->YZBcfN`sd#FK
zPO-)XeVh=BB;MtlLbc+>9QT9TxNumxZ6RDA)7Ev02d@0d%S~n3?EyN-Ir1s|0INO*
z<&FP)bj<<=d#|qH(xf3f#a!`?Jp+k@jA|DffS1DqltcGv=)KE+?LIp_jH{JxKcj64
zlvIXA%rFgiUzbg}%tFUqkGZy#&szd7-qI`SrlIXAjm;dKIw+L)huC$`3f|rhk1kB7
z;T7?Raa+qYakSuV(N9BbsQk$<Mhxj7Yn@St3|$R(lw1;fa>*LnCl;y6Y&z(rc+Rcw
zni48SXd>q~Yw&PA_~%#)6$j%#Sjw5mV@HNam2;;xTsXhbkQu9mibAK<6S5_7%)3o{
z^=E51OuumC{)h&qnw{@fO%_HQo$9H8Y-<R8KNNV(N*(2IwMpJJ<;LGFho+V`TEp`g
zk&Vxfsbc@jw1wvCMbcU{<a<NE6<E$QXWhzIxPB?+;}PK@l5I!NrQ}#EaL$m-R~S}A
zp#$Ex1@lWuL+j)OZdNOJz!YqWqbeY?)Fw+wxr^wV33Q1`vIN7f?~Y#MviR2`<<7>b
zQR0oCN2UmeCA2^J9s2&MG%{NIj_Wl{6Q$Chj7?7fXspjk%D*Rp+f`g7;+N)#%gP^O
zuk)<%x3h-!v`G{V|Ja9wyjvt*6y#vO0s+TggfGOd6~?y?K8MW?E)&bUUkfk|E#QUS
zqa?;He*C7QS+iY<0vYXu$5*#?P<+&iJZ#H@@4R%kH5gNX^DZ-FL##Q-WNPS+Y~euL
zsu53VF$z$g=9QWkn!#da;xfkv7PN8?ITx6*Oh|haTe^0dLh`d)&9=siWUt>XlKOgy
z81^vHmRe&9QqOnX8cClaXQT4zY8{KjcKd^`#r#dcqNTI=@$qpoW=}D*VrqeqbV&)V
zePj$ZCqH@{i4BqNk~_J3#21JQwk7e+?8Y!X@w)N7at~>D{@-dIhk0Us)?1Hi@3nCJ
z$0;s5y%y5t)~@|U*XM|x)qPits*K>#{+j9L9iPZPzHOYWVspej6G?-vHAcYw+1@wJ
z<TlyWbhzVWDU;Bc_pgpmF$9ZgqATj-3&MUb+1f9TN$eTBbFFsD0KTSN>PX%9jmT_%
z5&rrhlX&8&MCJw<fL`d$nwZQVgjjil{Msu_;#Pw_`L<0Tq}a2iLpeGL<(JRbb&WEK
zZ}P#dQXcxipQ|gm_i#7CnUy^C^w1pPxa6o8+suHDW2J2`D|-nSgG&oH81uv?!e61*
zg8|=+%*^$g`iX{T3xBV#Ss-*u{eG}?to)fK@tt-}LxkDEE{<VXB%WN>6lDq0gOd(d
z?33RABfhX)nibAoB9`qEXUS<g7!Q2Rv-KV$HZEN&I3!8|fzV}5qZB&4`rc)u**Z=v
zf07&@nV~?1(1z)qa&$ONWrnWaJxLV&s~o7GV}S(6zJMd4y3ix*{a9vhiZE4sS^rgz
z4JHbnrj_Q?pfbx#oh^Tc2ogNVZ1iJ?)@uE;F}*tAbF2G$ZXlCzYb)ne`OE?QcV7LS
zqv=3*i<v5EKTi}#|5v@yiwlzN&+QIBstubqP|uq>EfVggyslIU9ys8UQ>XNU3Ku<h
zDexa!CQfT}d|q7O1-tLJ^rKCv;5BsWR7oEN9L?N%H;eJZEzPo%e{X5Q{<S?t>$O>-
zwN~3#aF-yY=y-1umeK;9{;!T#PP0K6_a8UYaUt+Ez5M&ZMNMc?bi7=!iUW2k9Ejp^
z6M=iz8Y+qvG~t~~fX|s?PLO`wxu?5P6q@3bUMQApfbg@Pn|TMg;ZL_1-_}@h_?Of6
z#LrU$KCenT;pNK<Zf=hsaM((M50~U3r=SLWAdYtj$MM11s!`7zQ)wvAR0*GKPzTSM
z=-Hea0q{8;O}^c+8k!r_&V>}K!|omF7ou+oLDk9mkJESMAggG&TI{MiEH+kc*IgEd
z8NrVNWugkeAG>X}z%6y~sVn=*JR}PDjJu`>Llhz9c!v$MMjh%mPfdOl5r-Z6|N0Bs
zl;FDm6DMu~4WPYt+!y&(0&4EYdkhAu04cTfkSkULC`G)pr|wGuM`3Cb7rz=%Y8u^l
z3u{8m!nT9<k7OW)GqP>xd-WCW%5f^UXhP@RwcVaAvMXHD)>h8egg+ZhCVsYP0r~YE
zdzr=>XcdzVn~SD`631ZTaT#r>_0w<9`=S6FYQ1e9`s%=JWOR&et`3AJm#_aRsRUD(
zAB{9S>cVNYf8Qhy>VolR4tMqlW#|!04>h|)hkiBxotHk-!FkWqeOk>b(7MeoJ2*}c
zW(q8ei&rtAcTu@b(^?Jo^N*A~c4EMJYTY#FA$?%flzcr`st))3kCdNa(FgB{@RxeR
zh9G=}I-4q|3G40}KiQV955t!#gbp<tfop<;Pu*cHkaSh-(dyL)Cv#qPuPS4Ru&fMd
ze@zAZu??nsSPbBpMHlFyDV&UMOVAwDhP5h3+8dhmL2WR_ZMMN2l(#ScDOkCKa0NE{
zUoU<5c_8mh?q3Vwv#E6Z?;Z_a{CoSaC6fU*Pk+AgjRHu_`r4SMs|zoSqhxYd`kFU7
zA~d?!68_uvC`2G+<^C>{x3|mF!Azp5aKYRPYW@tinR@8LfqMmV*1S5fCpXpk!Kf9a
zjOf1Vo}|J3g0G6kiJI_e(|DU&oHcxw77o~AMFXn`tDpY*pbD?~Px1-;vIawYS5L1M
zKl^P@zFZ}j65LY>dD<+v9$Fctlzt9v_|*SPtdf+4n5*kKGNso;lo5N;mJBVpA;f<)
z;<q@+@3G2>U9<+Tv%Aiu3~0df@S5$P)(b+y<J-JuudHD*M%7hRT^;srByQd%*ddX)
z)N34K4L9nydb+x(!gMp<uf8@#3@x2B>}IhB`-yE?uUGb7oUtaP>*RNWUsF1scFGDm
zH`-{VT~LJH?*V$2fvx1WIHo4>SwXjwr2VFpHQ*DKx?kznDCumqJ=!kS5(M|(h$p#a
zK{|Lb`tzY#Qbgd*`PdcCvIj05$#^OS-xAn27V$2TZHt-g+Q$Kk4)5o9oh=T%r4a{j
zO;J#sMbcxK4M0>jP5<s=5eQiGam-*XE9&J)p9vKvVDG&<r_FeTAfnZeTKbO_6OWH6
zh^ttDwywaGiT*0+K6gU-AHjyQ6kafbb+D>1fin7z6RPaRC!4L=kRiD*sM_Bgj0>!H
zzJAXN#s{^c?}@PC!o;Bmd$Y{oZqnSz{5?yA^kE*uNRkzKDtDbN{A3DF`r3)%vopkE
zqDy<?c2<o4`Y4sM$`oj|+p*VtoT$FKE^T3m1^pU!?P=d^0_MyGc>(JIBHpwq%lkMB
zDvuu#sLC;hE$IfI&r*LADp$KMjVrTYOx?m6xyiL~XYtRS1=V`Opv#_ZeIo_G^#^Us
z+O!s)UDx;JxP70HWj?7qm`y<e`H)(&#0Xlzy6pV^YSP(_n@B%MK~)nRauhRy`?T8r
z^6!o0J#Kfu4*?Wh{7Iot#T&vJ2br_Z-W}vXrsMLvC<-do3WpsTF@WHp*ROoyddSiY
z?%9ew3MQYvnN{Xz0QCvlxy*sTWYzOa!{_=bXu`LgcA!-s4j-XO-4_@pe+4HDNjtM(
z_q?&?r4`QRIeg*eJTgj_QW6;=4J^2t7B<b(!hoR*A~ljb$4T9QGy$6^R@4&RRq<>m
z1IAlazVA1jBoz-tR9rG)!w{uR<?MbvkfwZe_ve}>%gxGrB<0z0dE=zht!O=%Z9d2R
z+B!p;%;a3-ROP_o{>jBw9z9rh%X*h`1(STVDQ%(CnG=0<NM46rI{dmG^dvQZo(yFU
zO9bR{A=~AR^As~WWPVpZ`0vgldH(WI_dF>cG#OcbsZ*v4UlhLa$-Z7D%YVH&)bpGd
z*#d38`OMQmt4^Wh_c8@puPqaeseJf5;&}3?0}WEW?6*4TvErFy*YftH2;i^L9|_y;
z=)k7y=VXfxvEl9FiF-p{LMY(9|Ay)+9eBnz`rp8hmAt9NU-J8`Fj^?s<Om$r2DZ|8
z9zJ(YjPuC+wfI{E^G}gChNr0@MLFTFHp+#(BVz}gT*c7tW{Ll&qg1dot#1jr&x0Rx
zn%+-!i=*pXm7+fqRET+Bet>#*6~?|l@{)R45>GvpvMGO|1$N>#TWhcKW7-9(qgtdi
zx}12vgC$A}=$~ATe>MoB&64zLzUb9hmEY^rWT^!Ty9eBc<%BWz-EdvYEje7<%l;}y
zSqq%xM!m~IL@@Af@KM`^HTdeNd^<y43p!u({AFM9!}mgV7uLW^-i-9gt~1br@C&<!
z(mlm7){<7QdPND@CrqyzhiHL2ThXT<6iIaNn^qFxRl$7QZ*8~VY5~)@b{FHF6nb1e
znTKao@jJ!DyJ-Uz+IwtM(u-wqlU~r@^P1|obL)T;#~c-wmIUQ|%4D%%jO9UFqXv4a
zQmL)&+F-ux($$bQdDPle(|sph3yXb7jSY)Bz^k5_=#;5|n~$Y4eKu($5qP=U)l(Oa
z4`%58c&CV$MT>V`5u{;hbh!8KqyP7BCrXmIlyS+s*Seub7Y7^`FZxC4LE@LaRz<EV
zm^BVha-Ps}P3qO;>?{U24a=D1-&Vz^EOnxP{?o&^?l(r}Tl8VlmDc)fRt@tEG-_|k
zGSGb4B3|C!5N0pSg)D4X(Y@#U=tM39|Gn~1tNdjIw|{T7*^!}%oq;F6o@X+U&flK6
z@tiSSc&k)@7gust_xaEmIemQa31c7bG=;+Wd6%AMDki`A^y?wJK7O~#ZIQ7shvj71
z+4LH1?D(6IM-(#fV&q>JO$7^}*)inksXF-aVd52OZU!n55r-pY2=GuW^rVQ=u=slB
z{lAKOSnJj;#%KYEYO>=z=S{<qf5m>RGrCx!+U;C@%MyCdzfX(XO~Z}~o2h4JI;h6>
zXvTlD6<qhA363k$u;}G|79pw@(#<{G656bw_ptXSzRNoJzQx5{vs(=#7J5JUt+$3`
zf5%nbpS1Cz?r&Y6BxUrh`S01qBx|UDdvn|ssc4m|T4q60K)*$!gti;jP^QH^k`%9n
zvTcWKUoxe!Cbjwfzy)hK8ZI-oUPu!qj|~`9@{6Iov7OoAK5N+e`J4I11a-V|(5JvD
zf*;FIMe>eQt--sxGc)$5DlXHL5?{-(<1H?ysemRcFy!KR;h?61v4Y;=WgBP7vb=Q%
z&xTvU>QcWKw)>T^cJ7GQDXm`8h*Rboec2Lzn7ZC7BNY%0H`jiDaD|i~5b)ZOVhIYt
zhOvK)<gv4&-a_?L2XWfyN#iyFOIYmr75hziHI9xa4xhX<M6A~6qCd!7$(s_a=~_}!
zXcnCy!ap=ll-4mf8OZ<yRS=B5&f*w4mAv`A+%&=BwMg@}B_NkjRj+z3g4~<}jZ3Pt
zgkPH8=6608@W^AI`$<nByjq<g^T3Kp9H0L?nHIkeeypaQhuwTwF;~VnQOG1Bu1P%L
zyJHUdMX}cY(cHL!#pr!sDw8m&Ex5F$$qY8WIdD(p-^yHexPKAmVG_^WTzK{Q%s_w3
zu8Q0@EcmwnL=(5&EU{%r7h~H-QxI^M)1-ATl9P;*HXH95f}At0+IhwVVv^lY^R>^C
z+EZ6|&h4BgniLxZds~blPC-5GTF4~n#^Sd6x6c&8({w&2S=$&~Kk@_>u5d&mz9wPW
zf0EGOQNFq3_*y8C<)19$8z5J?=xlb2pCFnI=ftmf8bPw<Mbn?7-Q-K<+sxpSapH`t
zkZOdL5u6rr+O%7)jr4MUI`(&NjF5A@nk!Lg2>b)~!6nxlNZqqs`zH2|5p}0s8eGH-
zVMb}|vBa=<r05;O@ciT`VYt!ObKtlE&_y?_4G}3JFB!>|FWep_Zp!dlmCfkG(o{dU
zyLJI#!)N2xa%hzBs}hw>4%Y_>E#{9W)vt)SI^*G}{iDSG=gaGi2N@81Gq=O;#%E&m
zQ+4|AsZrvN&pCnn!3_9*jO(TF#s&hArF!G1QR2(iPtos&^`J#NW&sDj6Y=JM_3qNf
z2=5mUqJks!K);5s<b>TX;-rI1rPb3hq9v`i=GYP)PRv(q_cHAy`ZT@uPy3A%W73W#
zGpFb<6|%P~)~btGS9`C<#9)H3OlQ_t$kJhq%GF)AzK3}IRIkxldy@Dc00030{|uLB
zAk}>o$Bpd0_a2vP-D~gvaqSQ-Nis?zqmWf(l$23Dh|Ew%A}Xnj{=X!nl9i%JMzXWY
z=IP}*ug;tA_k2D>&;5eWd8mPYdovxg^#m4FQ#+z$`v?0FYn%D*rYf-4EBnwKnZ))L
z1fEQ}{TCCm@t^T+R)Ok${|SE#na0lcDp%(*uVI0UI?qjam0{TUyxxh5S!{AIQ|@Zz
zI@a+y3oJny{MyxjrBnaLimMlCs^T`WgU{b21tll}l%-IKzFNSBBu~dUC2wQ;R>$qz
zKM_G@p!#$c*AiB9q2Ur&=PqVVKO*a-Km=Cz_A?!qma&JvH=Uaa)NqZJeOD_^5e_%L
zTs_6~2eXWrNV<HT2E2s^mf}YhVE=)h-`KOi*k`_+v<8kn(9O$nBEnh$1n0V*1zlak
zh7$U88XD=~$HDEa1J4PN6UBM`SnLMY^Wn>RVkQHeYhKwrtxSNHVa@Wg@-3{HkM9S2
z0TYDr9&0B&kcTSPmpYydyI3fv*r`v0ED$_Rcr2<a4;>xc_R$}yfa#C;u+0H>5HZ|=
z<$5^~PPw2~p-Tfjq7H$d<2d0X4aGg?pd3_r8+o64OAE@kx+ko6xS$|MWVh{)EU;4v
zmI{Q^!G?I^QdB+<%v#0BvD}x1vNNu%L5CQ?#ouBf%Zm?|>_4Tnxyi!DN9}npS0>mR
zwLJ0jr~nkQRxb7sWnqGd42an*aC7m5+{=qXAjvZz?aUwxBW#cVQ)Xp{P|iOOd^$xy
zCRt{Ab5#azM>33GbKwLdwP%|ICvj*ieAL{xD+8V+uBTl+TyXVj{#oB-N!Sr8J(ejg
z3lGE@qL29UK+;@?`y`Vz^nFN?&+wFmWGSxAiwb;z1tmG#70W>Cra-~)J6X`JPx=wT
zDgZusxhis%gNHjM`Bul|fSjHZXDuWIREzpfiCP4x5WZ&<Dk=}2(WHs<4kD0ka+B*F
zK@m=WU1lHTBfy~-^v8cZ5rY6@ro%kyN+34WvQcWU0FA1H-V{km(0;PnPHnFOjLhbC
zw|f*J$Mvf%Tci{mGrU`ghpK^K=z|y8rApv9KnZi6k%m$a8zb{h5|E3f2ED(iK)eQ>
zewnW<xXkJvkRBw%cY4>(&zdB7!+h<K%DNo*{HUVlA5aJGra*b-CuE4}bqmYCL4Z_h
z<+o?*HGue#%o*#c0WEx)<J+=|aDF9P;eDtkG$qyfvfF5Zn#`VuF;9u$Ii0@#dRr3&
zRBz9@dguVFis*ltYRW*<6x5JG(SiqoyQY?R^<XAhJf4`M0{A2U*hF0|7+1ajXaAZ3
z+<7VA$&IUm;tj*oC;K#EkDNckj~T;IsODDxb2V7#UFH|$(S)16LP6=y0K%Wv^Nwhd
zAmxJR6Z=JV(3~y!IumLFqdgK2th`7-h1+f)4JAYBHFGtuFbZ^6R|z~hLxLi|=A)Ue
zYQPyNl90CF6k_#V1%iPD=OwIXWL%Y?SNAua`L-!EhgQ6!bgIFVSld_$Ap-n)=(F!a
zh#6eDa*Imott#Z7RgTv{(r`l5%kj$#Gl*RzX88K5fVv@Lhz+e6a7dq-NNP6&hx;rz
z??)vdoxJ|0mWdCt@$8Jc3N!GG>Z3lksR;5eGLv`mSfG(^aW~P&3~c8)Xiv~6z}shV
zk!N@ti$7|@DamLCECap5;!AQ+c5Q1Xp!5gUwztNl<d!M;y{~HV>z4tr*^$%fAH}O2
zp+1M%6yilj%7R}@0f*=COQY;nJoH*Ct6L-m(yV{KNePgEn3je?H*0Ftl(YBg?z9Q?
zkrb`7FN?sHj4H`59(0J7D1Fex*#uJGUNI}~5CFM6dmR-AMkFkBIT-%{z|?<XGvp92
zO!-&UXxlO)cWiZ^lo>!u1=rPUqFhkJ^!vHmbrxj4w)nj$4ugoMP9Cslg$Rx2MLSJa
z6x<e2eB!z>q*7)NR7}%D#xz@&<#|@59Qclsm}>;dD%PEb3^btDR+bmx!-^QVhtE~i
z8$$X%DdsW5O)MjB_S6|wR-|`XvPWpb05*iL)>}F(V@zd=6%qX`NT4S8Af1Q-oIi1A
zCfRQivl=k+$PZ^hS%&XIa*ygmot1_`y#E)>E4jNzLX-tf{T>hIFVq9cq6<8oL-AN~
zW9}l>!HfiMSbc6-(1pDh3F9Xo_u@236t$i-X7uC)`}N<Jy70YP@9^yID6V7iuBS1C
z8I@<cGRv3fK&sQT=0?g4zRrC+(Jzb{DOPHIn`hR6o(`wQZjVJ=)o*J>K9?D3NJi1l
zhiHR9Wmx9<?iE}>saxA)f*Hl89n$_bp#{A}m6^S}tN8r4CA5Bo1zpQiU5q}i1zgoe
z8wTqexSWW(ncor%;yBRx;n{#Dh=>#Q#6N7~`!8zeZq%|Ok5L+lQ^z#nk=dQE<0e$d
z(uHK$QNo5&<7Kukk7~fZwVB<F+tlbrm!%Ku8+LR$d?=6atOj@=m=e~Sph4?X6J-(f
zoQTd{RgFlk0e`;{XM=S2pxDz})ALQ7i1yUV#`inwV8upyS#ygHjb)^CmSu9G;+p~M
zuG;F*>=q*|vP_ROTDC%B<GIm||L9+i4UnNbP<l4yBqMr%Fs<-R3J-Fuq`F&snGD~Y
zUvstmWI{^wG_-!zyy*G9=16r-GEgDe=EG4eXlteH;N9PRsE2+!<n7GAJX;BgR;jQd
zX+}B*qOAZDYkEXpE+@g*-H`-^4R$1WGhJ7+RS+FEK52g>hy>eKj9$AzoT&fTw#%T0
zFgp0cgR_i6g2zr>9K;J;h?2Y}Mi3K44-4F+Uy72TI_lRvUphCUU-c@VUKc}q<obLr
zQIlYFuv>uK#Dm<&o|o6GNgxiIay_weH83UnT<E0ZLkhaTw?45-p-_6OPkV>eU^7G|
zMarEY^_Mynsi{h%{dY@ptXI|k{rQpxLXQBNmp=UKlba0Ep1jU;TYv-wd+P{AE<%VV
zX?W>rfh>AhsyZxfP6FGxFFISh!iYWZ^>xYLawwgw>@9qi1b;7Z)M+$`qK=f4m#VA?
z$k!qLr|TdIm}Dkx>u-spMp@eo&T<75Hd;hAWKD(#5}7i}#*!$1o4oLgoroODbC|=r
z$lzDv?Q+Rj3e`7l6UzgY(B}R9^;3cB5WlzEuhUW*^@K7q#=KWXS4BLd%G5Mqq;!{u
z(Mbli<_rDQ;Z;TD<gVdrW=){SmOFj@WKqlquQgkW8mej&YB@}+1<pAs!`EZwP)L|q
z@l`nzDknV;*(0P4!EB!uwbJC#)YSE-!T*tvrZ=&SVXqF%$x2?onoB@TftRC}zmw3C
zcB_hgnl4=2PLi3+R6r_c^9sp~WORd-n$3Jc4^#)g@;O8+qBt<PHOD|kCUK2Tb<PH$
zW8srzYD+{E)vssQ21v-MA|Y=5ogwr*-S4n}jfjkfRDEkNl2A)txb}{YF?f}8vmJ<1
zLYSPmw(Ni!;`?uFYdjN!!JRRN?mi_{suFf6*F_a^U8@m*a{v#WBxM4(m5^x!hnabz
zGCJ~%eUg5U32Y^QuCQEGLe<`mNc}7kWnMk^Ya`AC1YJh-q^gw=mzdqwK2ZhqIDL##
zKV<?Bc+Wj3(N{vpzkbaUDV9S>aio}An*xFToc=CpL=^VM!b?e92HE5|e-t=Pf!#Rj
zl#8zvQDpt|)#MyW^wPT0l^8{VYe|LP4_+%E@17E_SFWPyQ;5{rj}a7*JIGL)d5?f@
zs&jgVbqgTBde@x*HwyfC@q=>5R~~K74Dk_4co5%9wQ_DU1t=m~tz;=VR7~J!oBzUr
zro?@d*q2NoXJ6G$<9iu&$jZ7R^e_`@2tpjMi%sC+O#@6gNE$U-WqfLBrA5s`)dt7x
zO`vG0eA7=@3iSti-d*0egUj<SQP(d5P}iBM(xgkEk11nxrtkmav=`HL9B%@+KD!}$
zhFJ`GQk0Tk4KCm#^WRf7hyd?S%1Qmn7e=YiLxa;RCh=0X8mqws4D@oC*xot{B33H;
zYkb_JxbNE%qv(2Li20Q#cv6cW-K&y1drI^huKqkNRCLh@)-TR9E*bJ7i|ijAmu~mr
z{687vR~3!mMM=&(?*MMpcK8LpvDAZ`{*o4%^fCljDlXrq_J6%$=@yey-h*3&pWX~E
zGXTNIm*azS*^!w%<7G+nPk67P`Q-S#KDfmsT=}`eg3g$={vAF31uu!0@Nm}G2kT^$
z)Pq?}h`@Eo?nU7@e49?}+?PZ>pxLBLxF64e{v4FtsPX!Ni%G69+5OOk$}ZKn{?F)8
z^KNAK_Te$yGt2o-p}sDNviUubmfeE}HU}4i6DRP=1Y}X0r33LMY`g{?H0WN}b2sfj
zQ@DHm@$56(+ED%`#%g~BHS$uythSQoa01___WV=Y;LMQZrQ1k_biNOLR=dA|NBUe>
z*Xq#%vs9wD(AqAppA)8VH*E=@=aJRoG1UV9WR1$GcRP4dZCHe0`U<|Jd%s%hg(m3i
z=h)Pm*~YVej<6<|{KZd@M$GKUn!r@5@ha=kHhu=|{l0%#!^tew5mz5+0If|^Y7_M~
z{%-&B=xe4;yy%F-@aunl5=qqjoHW0McT#z9-ErT>H6^07*J{+^6-DF4O@VFvyOjMM
z=e}K>sX(J#-dG(t|MHYcU)aV=Rpfq~X;Y(V;fvDt@5xX#)7ELnyMwPvTSVWwO@nS<
z8GIJ*LI&>PF}e2f9lYj>-L?hG9+YtQf^qdC3Apb+j`}mbi`yFUJ#fsXL#tQv1elUY
zVCA*vtZy0>+RN?2H*U^=J`hG3^A$*tU&m3BU`vf=6HNs7axo!O-xuw&x79%Ch6{(k
z6b;&*_fr(6VnKq-=#BiSDx{_J&Cv4DB1<~4T2X#B)caA<=c%qL?2P?YjgsDj;!mfI
zI~?Ia-=36CIcBMVQb^5fhy8SjyFmE%pD|9<bKSL~VUG%kDN{c%D5OVU6wYrcXmcY+
zQp&}ei^^c_XuV{_%ZS7_6FZac^PtfmT~WHbO3<@+AIqHzCM0;;Su&i=hqCTPvz@=C
z1huk^imiSu$Y(L%V*fBdVz|c_@t&jv9T7LMm?LaRm#wBLyjl<mx8188A0a|opVMsF
zSq}6m{AZzYsW56edAq*4m<ScMTrKj0oai~NKjFh$Q8dYOgf;XM5zcj=cw;ThjRs<O
zC=Bcp$lsrO{c8Xbns4+T=ndvUb(hUkYmp>U`@E#T5J7}XkwFX&)4a(4?iPI@r!=zE
zKYl|09uZpHYYWw*`O$U|yN-US4C+nf5_maJgy>GK`>!+vQF6-nXV(^G5rv_}ecD|K
z{E`)^<`{)hKec*2Z>&73e3F^ex}yZTE^FVccSTU_l(Bk|v;uk?_dfJRhcdvC$=mPv
z#ZjBnU!^xaiio;t$TXr?1v*=b>+J}VC{akaGCf%drKm04oa0l2GhxTlgAPa`-p7@_
z5!Nbby*P5l-;M<Ff(eo4Nz#b&jFWkgN)0(izVCahL57cFg=RsWGU(yiM!oHWB-Hy7
z%%wmbMrgBM)r-iX%VN6bGlFEa!__kNF<1jEMrbt#|Mjq&q1~&}Rx)a_<Zhh!s0o+a
zK3)o_BcSIc9P{`QbrdPjeRRlP8${8D$pn=mN?T}R(M9SgYgU(0a9IbstWTcF*C8Ta
zC+88~HFYG;`HLa-i5?hN6HMtGmC#@qttQ{9I-&}=5m^>*09!|MgJupWqtyEkm~Pdo
zqXysWJ+dA~@Zd9D{Hm-9@;_;7?5?hk{tQ2%Wb0t?x3Z{R?~MwY?VoFV=|e_$3-aPQ
zqX4YpN`(64RFPDu9@Q&161q#}VP9iw0!LF`63Q)9k?c3iU^^XE6tdH15l2e_p)U+}
z^HQp)d0^k|AqOR-`H)KLL=FW)^X<=N)T*EcnAZGFP(V-5Ue283Fa>ely+xPlRZ#x{
zBK-GF78U0HEbn$T1(l<ZkT<_F@-i^xHAs>|Eaz_Y&Lo&Zttj11zd0gW9Y8^hWuoZb
z^<%}7DW-se{dY6c6_G&yo!?!#{KzBS;rLphDWo2k_$|S&fLdbNR*?`F`eD~c5i~Fb
zrieX#&m-kgOpKjPqCX>g$Js0PbdCZHXAjZ+=#fP(dKAq|+q?Mc82wd-n-uUhh#&Nj
zmO%lJ{>#YeUc`Akzie#CP@wsD;mz4#DJ0t>H)K4~kMEzUdG)2*1UNT~W^3{!kjqWn
zDP+49ORA1tQPMMkgro^+jUZ7puB&@ZR(~90ec$=!4GvKCcg)K@KnRscJ&C{3Igh38
zTsu)~0Wes;lko5kKO&jG;B{AA#)R}6u&sOy+<Mj|Nq=}y>F_U}&eA`apBwWYVy!WV
z*Zg|Qc9jc#v`K52mR`ly<Ba;GKN$g+2ffebOm>tTfuEJ{UB%)hvNogF4WT|d;M-;*
zGkQcdkwlzY#eNc4e+9`K!nRkm-~1>&qF;>Aqq(t)=?sw;fBoaGJr>c=4`tILY2E|h
z?vMS&Y)vvyL54mwnea-gJfuQT9X&2q)BVM&=l7nq9MFT_|2Pe6#kTOj>*lX@nEzn3
zN%5T*rS-stuA6EqauwH(oOilKvw~&ud&&$3>cXcTa?IwbWqe-ug$4iC687tAX9#nv
z4iu0szjn>|09rt$zm4}-ug?upEn)ULUN@?wbO5<M^|)+2g@^kvavTs`#2&SDnMKBG
z!zt!efAxoBc<|JaPNU@lX0YYms`$^pTn>@uZ(Se4%er1nUXuHb;lG?9!d?qXyP{g}
zPk+MKcXJX?uFhfEHa}!E8Z}|RPu8k;(K~#c_tnKEhB+*%uK1|DnkINgM4QNX)ZxX5
zJ|WX-7Q@DoJE2$u&K++k*w=O$&)Ljt>zbOuiYO+r91<EpDAo$Ln|p#aeEX@LSU-bt
zJ(J~Y$W;f6+Gf(K#2f5*ou1F>jv0(mb7_`MTpi>mf5oydzQ^uf+$`A<pT+EJ?sZKT
zk%91T%j76a50=x}zravEi+v!Zh-fI0;k2RZ$A^P`*bn9X?r|}57{iyXbA7cWNdLAJ
z*>`CGi~Tk?*?nsstND*Dq3)k|WDiSDB-0FGrxq&>zl{9GvRpEm^Q+Wgm@{f6-QWk7
zyJ_?wwr&BN684*>`Kk)!ONY6F{)}L!%7vyhN*1w+Ft@8$m{p-}{IF`mvoY-M`!{tb
zo-JV(mlg6EOjID0VLFTu_Y<4j+jRHC)H0Ufc|$NHN*RL3r3%h?{KC514;H1H|G|bT
z6HeCQN>Kgbw6(?2DJ(_oT!+>BznDov+uwEuC74bVvnn||gN@Iz{F#he!_xm2Z{-{&
z0`Zyq%;oYq%)^grd(M3WONeZfS9_oczwhzF4#NUADBptb58uLyGsmA@r%?n2U#>!p
zgNvBC=wexB+YY9oR@7MMp#atXw?nk*mas(Kls&!=sX$(gr}|q90e;C9UcC-0SagLE
zt2-|Zgt6Q==2j=bxV&TK($pVpG#8mU714qot$ShWJ$Z;}Rk?7nZWWv1EYbVwL<doi
z>YR#1<l&^b*H}#LI+nkBUF^L90~o0Pip|NEgXs4D<%ZEsOtE2SGuWO9?1Y)VE=bBj
zn?i@@ezP4cjJMSK>KzuSS2g%gy-F6wGbXmY&rw0=9#cCBQFiEPcI4r;kcA@FN)^H|
zHI%QceHuT@3A?G*i$N1Iu+r=pUl~XXZ`OhF)e0AUR}>L;`%ebM>s<YlmFS@LX!Kb7
zT^`tPTYg*CN(KbB<vH>=8Q@RxaFOSEKG?ryz3j*;11THZS~PM@;OC=d#~vyGifa$D
zz7I=-ZBFJ(d4CoN@D#H=Rwe|u6W$6kzLf^2Haq_pb8O&+jynypi$cC*K>Y1j(l8KV
zA<=o56QqS`9@A8cL!K9JU3aH6m<i2}E%$N3mtPx8%T1EtAiu;}yd@2@Y$v(DM({vF
zW<oyeK52*^wrVW5mVtNJ^gVhrK0u_hD|gpqVE#t5xp{*OB%gS0^i^8`>gyb}`<vt-
zJX)f*%2^g(te)fwI3xsDrw&gpKO{hYqvTHpWjV01NmD+RF9JdtS?SY{72(*YcM-O_
z@<7(sUasO32d{_Ry!72l(7^uK$MPBhB+NJmC5}r%y4B(#Z(3EjMAz<kOimF*Q&(;s
zdMgD|0t$~Pk|g-7@5-zoqy&2zDq6mp$iPo0zdSo*GKl1eeO~iZfq7UEU+$EJl{~$1
z(L?GmX#JQzoR<XUk4uEZedS@ZxUF;Jhz9f@t~wI@fDB@TYq#>*6~JM&OF-LL6aFUW
zdc=fkz~f=ux#{2C3jgiIo?O=iQ}k$n_JS5X8OjN_wNZjgnzciJ|IMRWHYdM6(g7NG
zhxVpUWw_AxS;V|X3q*I!h}kUq;FuNmlS^F{B16047c;fskl&k9nK(n}e;q9-?x_Z2
z8>WGkB3khM)T!t7yT(AQj4JF@BEgEEYaxfeCSV6UiWh1D!s+A==0}sDlyV_fVMQGd
z3^+`z514>}bL8uvr6lO+Xm;~CKnBZ49yu+86sXzLmH4`V1UB<h7R>Fckn*EWJh#Ra
zrbC#O!oB}-dTVz7-WVcKwogP|I%)=V)Q-{-yK3-$LE@awwj5}`q0JU<H3JS8I<^D7
zs=)u*$Za=R3b=GslO(pyAavvJ^n{}d<c?gbc2E?Ciy7x7*LMExy(?{dGnIfp$UuRG
zjT^+sHtM@QW^g*$mMOPb5ejxVq|7tuApKQ`)#+F>$Y`uDalb_X5ecc?Gwe$k(^G+7
zejYQBe;9D|>1jD|7+zx%o@vDs8Ok#s-7<yP7pqmz^khK8vmp(5S8#g?@6CQ{Q(!Lg
zJsQs~1&0aBl?6>yNK4>b+oT@_PPEQ*Os|T8t5)Jl&38J)bIY)x;j;;_eb|X&*c5^+
zuYjyuIZUY0OD(sTVgl&s)HiB9ei)6r&pfZqigvX5N-jMG$OyMLzVm_`W?3!`tWL9`
z3mKXrV*mX5IO0!E*kFfn>c^D}Gwg__V5z%y9|kyq?S3T(6V!h^6+t}Bfu3)a^uKd7
zhP>P7BM6UZ;jy#J&5<|`<nz<wtCF7)EEoqL>?qjAyeu}Y?zwWH#lhh%<r{{;&nlYc
zI<$g$LdN0_4+m;2vvgRfH-K02pXCqjPGR9H1$Bp>v!g=UZl-H1`f%kL6GPg^FPNZX
zj&i9JJ4&;)>u1r?2da;^Bp63B@Tc^~Np5@C(bh~uRB@ah@Ks!8pJeXG&k-Kq+kV4_
zZa9+;W`5R%er8|uHRTDs(W)!3I-d>YxU;qztLuXM70XjBhkxTWoFzZLWU-<4m&aXs
zZ|lI;i*x#E-OG4>prL!<OE#oDJLgcoqYbay`u0KIDy~9%rYw+(9j!jLj4lt*hBHhi
z3~OSWICJ-i6nh{$x;F3t`!ucvAJ)C%mQU>9T{n96t+8^Td)qGd8}3?gL_FY#)Iaau
zO1@*4(#L_)j?wZ_k7>g2D6MROE)BY4H(s=TiW9XDm+u`qqY3#Y<<>_Z(4sxB=%lOG
zI1$IqJi)Xz4X_I5IDd+d4yg%9{5W%u3(dCF7HTE`^XS1v-G{OCs1?^7ZTI3vS0Bf3
zPsnKi|9o)B&m{(=XfC7`Y|4Yas~*nof2$7Ys;g|2KNBh*G~*H1=S8$cptAK-2V?bJ
z<McnwXg#(0=6^PP=*Z`_xilelczo`mCC5!xbjJQmOJO)a>Kf5*<@-p6IQ9^kJR^2w
zKb03oY!W~@$_H$063M`*cHz7$4JYChQtqHv6hiMJ#uJ+Nk>TPU|DqquoJce#m5Tn6
zFd}Y_{8bbsLyAj8{NxH3a&g@87~C(4o&}Cn8!wY!iNavKM9+in*aR7K@`<BQl8;hH
zKmGG@D@zwQC0@jPy>`#&sswr<!=u34M1s3&u_ppg@*(<(vRHv_Nz`B;Cc0Elf`!LB
zbtcvPh_5P*vy@F5>4*+|tA9g+?$1|RYPkgwXZcU2Wn~%U6w|xh^_2vo0;IB#Bq79G
zFdOjws4OyAqAq?!Lx!>G+{i9r5md_h(;ubEq4U4Tm!=KLKvj7Abu|)2nUmI<7Jc$)
zOfub7If)FVF;>G-k>W`3NsPonaRu~=zTZXcHyOTJzoUzhmqf4Cm?TGh6cL(fNpe1;
z4lFhSe3F7v$nuAS$oLZ?+Kz6mcivG4-E95kCtT7fYNXp(b6E-LGSi7URA@lvUh4I|
zTrwy!EIs&&j0y_zo^huM`NyT@7LR>+Wl=z&9mUr`6-^n|2NgMK!D;)~+sguSs6`r7
z<H>3$zUR{2EJtl<nh+)^3(BL<QYqfgH`UP7w&^=Z{B?lc$E>i1lYl;qrip#9B%w2b
z;WuTobs<2I-Y0*HfW)<PGou4Zi0Pa1shxg3kch2FjQ^~FtVf=_atS4&TO~(~uFD$0
z_0XEI#yg5AdybpB;s6OzpVIjx5^4zVN`D!q7!eVxl2t$T9uj(*?GQfy)(A>QvLYgI
zBI-1c<2U9}Ly;{uy=Pf4_#XfO|Nj)1cR1Gn7sl<qXIA!ltmm<1e9rSA*~*BJhLi?P
zQ7NPdMe19U5g8Q~3K{vl71?`dr;t6e*U#_YbDclVb*^)t`*pjxg`ImYq=YgwvTc29
zRFJjZ!;pc!06Mm*)5B&;h;uZRUxuWND5LECLhk@J>ILqG?bc;NN}ER=2q=i*hFX|3
z8S?ieFewNsp_!jbs_!WZC^<k(Y9ovc1)2TzYXt;!?O`q7D2p7TNvjXl?;ykLXEpK7
z3IxRM;&9Fsmqx0CMlO;p6o@om*P*|th(ZeY8eG35iPYKk+mhrcFp~971s*G)!q2O8
zjVJdac`4hLw@MV~o-)3s8Y_>Sq-T!a6%$5z2b~8vMJRBoFN;$#Kn{g`2_JbTCxG;a
z<;V3`$RK~h@<5N3EGlJ?v6hbJL3j2=Pc45VL(x#-?O(hysP0KvbyYbBN<WsntrSd#
zY8OGnxOORYCFZ(jEXIsxH$7_dHOXM9sa#U=R1%%i`~0x>KRU!EeSJ)K2;jwXymhdP
z1WJ^W9b_n>Lb}Rrb*%RROuy<YfX!a?+fqT6fxLl7f09@wC;((xiust+h@!rWhc+$F
zEaT3K;c7lH7)+>Wc*V90p>JnoJH09va7RV+L;o6$;0hgiN}xs%z2TfLJ*YB=yU0DK
z`NeJof2Zk!f`9QNrmT*Jw$&+|?!|KJdmBR_y7SsQOYxy+roZcBMJDlEheqsA#u`9T
ziC3WV10KZ0bb3NDWCCAwQLQWL(Fb<xFP7B;+{oMJ&&ThJ6L>)R-vbJ=`oJ;aqmuuW
z6Pf8f4^PCV@J4CdN6T0D0lF_+sc*`T&K0JRn+#@fsW_`5iyA$+#!qj%q|b_;I|@_A
zJm>JXh=cz$r1apX{e-&tHD**$_4(_cKlAwdt2>YL?&!kT(I*72X+{(~{di^T*&^P)
z!^==MtOEy@-wK_5#ej0xzqMbwxP&`9+v%Dg(1Cp$bB)0f^vLy~{$|Vh75x31l>4Ti
zw4tit{3q%+bSUm`jY@X-8g8Pye=to-8xF5u^7UV$MM)~Mz2t8j_&`sfn(H$y5MPT6
zDfOjATGd5GW<uMzb-KX`4-PG$)HW3^@zSFGl1i$F&8W~&wxdvXgeJ74Uf%zDkOsy4
z_Ab_orAF-5m&m}X2?n$Dhm)IW(8VXAkzZ$MP^wu+oOp}|*ann_N&KNfygp(4UyjnD
zuf~o0?1eNSVby1`NQ4$0(r$e0_?sTdcM2L#WT*pC`>pJeE3{~X*Jp<#gb`_Qzw}<$
zRfokwRXg)ZTGVywrdjGfW~9_TFPhRsf?Lx~)be-fkd0!|4l6e+YCK1OknS7_1o=H9
z$M(@9E3QEZVPZ!*s&PN<SxG=VH=@$Q!+<8I&TaY1aH9J2u0ypsMBoky6bWEuM1Aew
zMRh-OAsrd%*j!g4toA-PL9$FJ=ZB%5%oI1We48rg!A1nTf2Q3{Cz#PzKFXid=S9VS
z2A2N!)xeL=&6>Z01??317bm6jA%W67h6rjk5ayuIH?(9!b(_zlw3Gx;c}j`6aHJ}n
z4rik#uCt?W;#F6Q8U+#k1^UZ(WmLiEib5lO8z(B;cjUZytPt|N=1X*IQUOzin>^H0
zTxhVWxZL2n2uibY^$&cg0v?Jd%fHd{pio9UEccEW+W%!*iuJe(eEGaa*wNud`O&?V
z_1WU6a}B?C(@F)hj0^oI?((5*o#oKaI}&K9Mp-K9kP3vG+W&ns!H=j4uh0+aOCc(g
zV|a?63W&)P{f#aNBAH@ZmiP#1bU%CXsX(a;aCqQ{Z?Fj=p_H3KjFU3xs%(YCw45qT
zv^<RLuNFqrKP_D1T;<Rn4rdde5>>$a%Xe<3ilW@=WUav-c_ihjbCYme4P5DS-gU+8
zMd?2^?zx>%L|j{G0W*3;_^8p+bi`2t-Rh%0V?9Se4vvO5lbeaa&nr^Bd{z?O$Vfy1
zfyzi=fV^??9tq|Zq#wmcN+Ad7CVdtfRg{=55U6xS9TMJ7R{r}ejsE87oBCW;Lp_8?
zUys{q0H=om&&-Gn`ZSk(^n)i6VY6w9S!Xn%mu&X*37;HtW?kL0y+%Y9F6LjKr)ojo
z?~yWQiaeS?jPv4GNGRy4Z_L3>ZO}|VX&L3EfR=mIJ-=0x(7Ip9sO@E4;Jm<cE9j;o
z%5R<JD_$g_Gh^`}vZDua|J8UW1rSi{c_p7G(<F4M=EHZ=OMUPOyK`UDMF|;a?4j1r
zC80VRrU4N{L+BJUd3cXU8S!!)$b6?yLcN1wY-K%0Fd}OC*C0t5J>&S!77|5793oC3
ze(C^a)@)zqmXy)Ir_>_7R%)m!CA4$zUjP^Hxy{#nDri&-nu7PLAX!t8-Hsqbaie&F
z?us(18meqNn@m9PpXMwd@2>AS8u*tdD5FoTzIUJhkw-JBP7>LH6fj~+dzH?hjMmaf
zJ=M&z=)DcU#H(rwtQ!AKd#tO3R5LE~oRpP9<S+QgTZ<Inx)33)rAt70uBpzsul6Es
z*;M4ULje}0B*|_zMHI27px$L9gmO~C40>lM(AzY5xwA|jxj#y~uwu%GA{afS4pvgY
zA?@`&p2Koz@xf7n;TN2UFZ1jD=KB<A>qtuU9gsl=myhXWmNO!mFml5q9SVdzqttu2
zOQZE5!p~Y(YLwHSPnXb3h8tdbi&4Fj=v!v{sg~c%c=Uzor<s0auxGiZoa`Zij!=R4
z(I=Dm?0p{5epWJ+xmJ%G4u~Q0<;NeEU4G)12T6B369Ha-qWjn{DuU)>HVB-$x%lub
z(}5&a04id??T6q!$R_8L-OHvbjJGFi%l{4rs-_Qh47deQL1SJ}iE0-%uD1nG(v0A{
zg2WS>MqU)PXfr`NHh>kTS)?*F8iF;oNQZJUH@eHNedepgFcv11OkKWd01P1`E;VmC
z(Xxu;GjlYINmXSQ>?aw3_=_`7_UN-AdC9?JX)ePUPt4Zq=5zWG0`~Z(3^Ow7YQ8bA
zG=yC}vRBtLdmmW8A=`<aWI*+A9}AUt_F>jR_p1La=m9z#K6`$S7EPr~HQf&F#%lVg
zIpi=sNXTu0D^=8}uQ^xNF0BoFYU%i9GDa87X%2qls@%b4e6Cu5Yp=)1_U9k0jp@L#
zriDX{{+swM_fN9K&2nryh{(xnq657KgzB<{HT+Pem!-jQ7N)_Pd1*UM8-y`YiwuPo
zoT@N2tHR(Ft`OPGbe}~Vcnyw~)N?Q4^+3$lqbb7$p9VDgU)|MXFrVR?%_3gS!un&i
zsRo}ppM2`wFHLa6qf?5y=5bxjj=4*}6&Fl@)4SlH35<;NjNWN;I9t_Dc0*tnZV{wp
zrdp=~%w-vy$J}OdC-0XbL3w@nB=*tOz*GaoXz&b%foVKCMEs)f+z?KQ-ln4Zt_}<e
zWf8>hQ~1eKK5FgZBe+~k$nsGWb@&!Ud%K)w3a@ONroAseimOI(hmmVYpl@5yy!CVv
z7Ys>zN^Bj+twvdFV-J$R!m|68-<3%m6YXAHe>91Mx(2^dKM{C_SkL{7o5VGbx^eq^
z&fvV^TlpI2iLjD?`?)9e6t1?><kOTrhkx~oBUf*#fq5YR`^vYw-1GLk&+mN;IIsNc
zhERDmczykQh+xb#p8L;=+jVFWe|lBBFw9vMlvKPbtv=1*G6IIbEmD?nv)AvVQM3y1
zJ>j~O%shwFa@UG8hpgZliL@Rv4az|5bPqq&J%?YH3HBm}t>H`OejfS2r3}GT-Fxr<
zn8!&>hC^@jH}JaV7Y)abD1oy`TAO#r0<PA`9Z<-#jTfp7Y3_eVfCZ12^8YdX!^K1j
z!*>o+p&6HZuP##&;Kt3brHpP%xMk&D?Ycs0bdr$oPVcS=m&^jQ3Ej*1y603gqY*9Q
z_R!xXAO)D2xiHrnxQfpNZH-gL=}=879WK5Llp4S3D^2XyaZ@UxeurWPR4XePrT$VL
z?sNN(>ez4M-N`w<USF8d{SN)B)x7eM$0-@u7qN}YMn2!aI?94JE?k*D_EZki3oKzS
zkP7YPVrL$)U`ItfpN8Yb<lvF-;nd;|Y9uB~V|Mf}CkicW|GY0p7Vee$d%m-!MS|EF
z%bk<l$hP^#S(3FZa7^A8ADN*;W}I@)F3UW~-$_d_eMtsflDzLX7cihV&QD|dKky+}
z{=CZdcQOzV{4P^2iwW7icY53qBY;w^TsDV&WWX%n&wQwf1r4@@u?HpZL09dmw~rgk
zfJyQBd;1jGQU2R5JDUMvln{8feViZzEINn6vP(G8D*v6k0d`_2?eRwrHw76;j2+*Z
zGUY}mtw%NK*Tm5Q_w;cBCIhK*Wd>Li59$=J;HO-WM5%q-`p2)xz>G{%y8JCZ)Zs3@
z?!6&}bftIp7T3r?723!hw-G=l7fW9q&y+!K^@hiD%w)lQqqjZUd=KL0bq{H}D2Jkc
zJ`;~vl!cNT93o8@gb}mtj{^st6p*E^&T-dvInX9D8`YJHB4fpJ4H-uQ+HCp2zdkPy
zXXtP4@6#4Xj4#_6%FZaGk)U5Qy$*^{Mi5F*o|ZtQmzG4A2vrn%Z7!{yUI_|`4&HtC
zQphHB+{@6Jh_>IczJAND0tPFDOul+)l$w3m4?9gl%}ZI?zE{<t=}YA_tGz6GSru_r
z{H!`+5aYY-AVC5;kC;`l-*U*}*LTW_lLpd>^-bq2QHQHH#b%iU6p$;^S5tzNCK}Ft
z5KP|XVLb^kg+^uq5~gletSHk&-{hMM7b3Lbc;e>ilqe<iaAIjdSzHTE?QauFDbNLD
zc46Y4Wo0B>%kV{CTMJ2XsuktX=!3dCdUaP%6<O~OX-`?zL=nFZ*y|lLgfVo@Al6(B
zT}qVidvH_}ou)0aKVFJK0(rzej*W;ehSR@NIi-ODKjhu`OhpC)$AY)D4G|gUVG*oc
z>gX{&cdrH;1&(mulrlO+M4M}OKb-I;qOORafmKTsh#rfvyt&&yY@Pb-Jgo|<uv))r
z@!1&ki|qYWnTbg9xvh3`p8_fw2zcQ|Hi7ezul<8m)DU&U@|)R*GU(f<v0=k_6PTw5
z|65BcNXxXluVB9f`t#%3OcZVcCwT84-?dZ}|8jxz%8A{(AmF!5^GzW1fdb`r5dqcq
z2EPy;;6jUHgas6A0<Xpz7+<s~pi!GUPHS#-Xd$*C1y?qKt?_$#9`$l)W5I}<CU+ih
zcUgaVuFM#gZe%fteUU+S2YdqOzI?%EbAP=LH!_Bf@+F?M6e-kZmt&tNF^|1nwr(2z
zL;+U(E8*u82^8@|&#}{O3!7}+>D?nkfw8h48+tV{blvJ2`*C|(m|H!k@A-rb+oN$a
zx4ndrR!A&OX(0oAYj~;KO-BavXa3C>y7*B{NW#@IUS_DQ>8-eV10e0_oz~<q9`s%)
zYpy<l1zMH8JQ*i3c=PdE!mmXRB>W*>^H(q{G_cK8a84V+S&C{&u{$$j9P>{;IK>KI
zT}+rfHw?jZ+{ca8f)0&LB!&OlW(A?1Hnl2#L-<CE<-PaX!3PA!?;h@Ch0QO(o}q65
zNrTH%E;1`PFD@|18o>&ESE^5v&+EgF#y_nN*Jtrnd|o(9nH6}7x*KaV_Q9q7Uy9u{
ze&P9S0&5fXERek5bmsbm9z11sZM1Z%!B;P96z%h40eab%-x1n+(3xmD;x1c`jWnqI
zJVs)H&eQZ~+#_^B&v34xB)Jz;?W9c8(X)W4=yIp~A02q>aGr|(<S4eJE*UJl%nUY5
z(`(#jIzT79<2ffggZ1A#c;hA$3pg+r9OM6}4QD;*16vaou$qXt%6cP~U7bgM6cp12
z^_uu@zkwxe&e!=C@g)nWmfZaIGe!%hr}wF-jILr1xb@xr;;caMt(hdUXn|OtbhASF
z2G-9$d)u>~6{b)6T-ylO1S@G9+qj$C*r_!Myy!I>ta$#rp~$WY+_h6<ZZT9~lihy*
zTn0M~M|H~-KGOiV%uLaMerlLgtnPZ(!2#JmAI#p%Y5;q9#jgcLS}+nZcRnG+1qqY)
zPDvK4!<U1}=MLPUgB;c$Mb8Gg0B4Hi&~{LVZm-QfIj!{IVOq3dT*eKt43UW<|43l$
zmpdt~!w4mkWBVNnctGs&A#3h<64(^H{C6&k39>_FS!=6#p)G=x=Cz*$0T;?|%WJTJ
zrYA$t*JVCPu$@#7TqA;0OvAhO7FNjcpP4&M766^L=-0KMh*05EtJWF84y{Ask@ar{
zVId3W>Agk-=MDEszvG<nk1y_k4M_+*KI^`-2O@k<3HP~{%>|TRk<&Ci!Vt&*=E4#$
z5!%JwBjk#?Avf?t%S?(Ws16Jn!-yJCTbk2Y_wv9u$N9{WsJ-y@8k^(0&$~JI{jDE|
zxcT5~@VEPF))H`MGv4NEk{Wp56yCn)&JWx*&lI&zNrG~N2)p)cHJJZ*;W0<K0L)SI
z*XcZxf-&c4N@t}S*wxva4jJr$?TcGccdMi!;|)!F1sxH-yfL17(;@^XRxWJybIQW;
zg*&~Yx<nWpr`9jNBLXA1kAdeYIau2AeW)5tga^l;P0s8W1BTv%(Wffqq0zUa<KZ9?
zA{lRSN6LxA=G*<>^_3N&BVVL=!;u7$s)losk0d}MgTGe#KLT_fk>@%(N`ish7rkOn
zCE-$;jlJ-?5?HnODW8i~2X`Mb-GNjo@Ze%BE4NpH-+>}&A+8!=aOv$xNr5z!vtfSD
zFI2&IBmM6!$}WF~8jA)t%0N{950`4B2I-ID+b)}FffDgjLE9f$I8#7xciw{tYxNFa
z?|5s&UyA<q{i|{yanLoR@;edKN|r3{X6S$<(@~}rDg|f_|L5SuxO*RdK`s;Py0FKW
zIhT1&0S*LFZ(7KZpk;@i?!obWu!iQ#6nhn6k8_6LBYqO3PDS!RZqtXniw(wSUlBmH
z>sEkO7ZF@_2%R4f7(!0Uwc{ofB`E1?(e*z~gzsghOs<7S(4xgcOet0Z(&L5R3sGt?
z!G;~nWC37cP-`I5DMNzb$h_5*3X~0W-4o6R`0=_;NLEA{tRyPd>Q|M(C6d-vL!S&R
zk>8dFHkClMh#rcNB4~%&?eF|VhO?h-RXW}%!L2*DtIj&fgGx}6?*b16qAtCda+Xkn
z;Fozx$9DI}C=k<C<V1nt*Nq`@UIZ9hKB<>tC<VHL4QC5(Q$XZ^)AzGMits2QnT2vu
z9B#jwRVj|7Kw9-Y+r||ISU1*OsZSDyFIcwI$2$~g&KLi6?0`JzHB(mPr3HXF&d=(Q
zI|clU1CScM98{kg^=Reh0cNp=xnX$<++H1^u;$5t#SLGs{uwrK2=%3J{Y3_$e-9<h
zour}WpK(KV9s{s3SE2C7yME!kUn+A|65j7|Iz!__4SU~))+p<cf%W#sM}o-`;Ojm%
zYOl18osqKVxYr4w|Jan#EO9SbrM)XWPF%!R_H5Gqy#&CzaY>|HKom5)y(2U3Ok!SL
zpTvw<cXO!U8PmxeAxPVl^elB4!H&NZmfkYM;L7*+Pn|9bf^SW@Z8TLcwzLpe9C^bC
zj%6C|&^z<Pal_&|KdUw@zq)=msT;ymmEz7cZ(ca@Q-<klWdpWtTo|1*ZU9AAjBoLD
zZs?D>UA*8}i&YXYS@FmjfWTSLk_}casBL}v%EhP-i{x|pZgWN-2<x7j|7o)W@#XjB
znD{2F&oAn1{KtK8q3CxwF>Ti;eisUSb8N#t-pcw*x2Xr?>yDA5ZcL!yJk;eh(S=E<
z8T`0stq0zzTNHOU2B_r{Id{aWAL}%1DW^}<1vTM~%#B1kxa)V>?n?SFcF}=9^3;wF
z#Q(WlB_Ku%n||6-VMD*M--EZ0gm~=MTf!;)9n|o_|JiLmi*ZcYID$&ALL2tJL02Nm
zseq+JG)Ssv5+g_kwx3qfh6k}v*#9ft!J6w7Zk!08#mH?Fy|eLJP~67mGjFqvZMwBF
z)V-U>(#zlY<g;mk|DT=|NsTQmZpMT9{;NeSb29qDs}M~{8TvQWb7B*-P+f3*k+Fo0
zJBR*D*wg^;(8lbT?hTCk!%tRmd<FB#igb*>p#gn|EkuH%H?WcQ!)$X?YZzaB2PJA#
z9o!gBti8Uwfpzv=W(n8W#NHcIA3GbO4!N33mHD|F*Z}Icn0vO3=>~~M6WP?E|8Sgx
zyx=DGkjSmr{g4WTbW`*PUywjC%kHaa-X`{C`@xUnBh+yBJY&U8B@&1z=k4(d-og&~
zmPFLp&;t3`CkF0vA}EuTP6vc;V=Ie?kFB-RL1YjJ<QySFf$fJs=Sy}lqh|KQTvr&t
zGH{n`=G5TIC~W#ap@MR5^Zh5)ncz87Va2$n8q5feA64+AhMy<Be+TlhK>vTWC#r%~
zK@yrI^XzCK$>sTov=|%M{Yrc?)};cbFR#9~JVLwsN7|nswBvv^hyKudo!xx;**g7V
z2pt3tCDw|$aKYfES8jr-%DWs@)<0ZJ53TlltTJA6!^$9|ag?AktS=h7z1Cuct!SD{
zTr9j0yr*m5o)=0G^0PZ&y@CmD&t+5LkN80D&7Hn3c_rwyr&&LHlLcahPYp<E3cy+Q
zWg78H0`MPtHJazj2GXa<#<`n<5YG^FDflu0*mDlWRGi@eFVP0PV?qdi*FHYiM<T!w
zyTr!8AuiB0xYsg3B?{~LR+7i*2_X8n(qSfo8=lnS@guMoOdfXUB+n|s(UueUv<G+~
z^`PE;J0}T950A5mT~vgghS+i!8$LK>%V3p}DhXv`jCdv=0UFSI_OU*G;A$;YeorqA
z4i^r();kg4EIqZw{zyT{b4qj+zO$RtUXc8K%Lw3PdL$s}$p8PtWX?Rh9CYN71Mb=>
z!I#`nQof}Klxmc<+vUi^PS_pwYdp#@7Fw+R<ER)AR$On8PVV}nX6p|D78Q^ky&in%
zi8zF|u1v^CDM3VspK^eqDnzsg>n<)zz&oo0?^wr_;ctaQ&4)ZS=qNBBpH!BDo>Eh@
zrnjn)!|*WcOCb@ALd|<`UzP@@56!K-L?TF3@Gl)IB>}!6wD(iF44gUfC!%zFx9@!x
z-@v#!h`pM%3Kx)r2ZdWUK1C!rh&u=@8EV3JA-R`7&&fkJG4b4|!|E^>N@~w2)&fI+
zOv<4|0pwo^&>nAAhl?q4Q8aEk@Y6wN<?@yyRII-F$}g+|dN*$T{3xmi!sZekS&B+f
zN3c0ErKAB3@{T7m|Lp^R_VV?Q+RAWCL;U5DZFN|;`7I~gV*sD0-$nHZt3degDi(z(
zb>OcX4xcJDg0Q`>D5dqgd#ZG~e58#858X2w{0;!*Wzp9*8>_-g>(;r+4kDOvYQ(2Y
zk>P<#K!jp|Djem%;i|u@6Tvali;jQDpb+F4Aaq6*lKx!Fj&x84J0`ZY<_8q`W|m&?
zi9;14FT~vxS5Sm@%L?-y7Gu!f+iA_=qXMd+BpTi*3;bSdD+8yDq2^-bWBmwaxY#xL
z-?KAP5WnS4U+}^hQZ5v7uX`&&{S@b79$_!+TMuT~$TSA!=X4$N0tBG?ryndgC<s}r
zvqNi7j3I+Ax|`#L0+{6}TQKh7fdm(ZJgXDN(B?^Bp0*_iv1`BHCj4Rs<-KLTCVO`0
z@t*GOu#tt^O(6qk7O8;OoXq7~LV>FI=)2R;q(L|_HPN7D0rN|ZJyUK+fyhLfE!jay
z_%@<{+4*A+_Ga*_6?Z=w)SvU|oKTa1a1zm#GE#@94ZRqV_9Vl-bf-oUQ894xz458W
zaTFJC)^=j}3lK10^h=LQ7_RpG5t^Nt!@t{?xzYImc-eH=8}kUl9Djg;A@dUMt#*$y
z=r0D%GXi%;ocJK}YOSVg(+a-o6Tp?cX#{h0=~?N`+;G`RKcOyY4Hvl5?^7sX1hcbT
z&FNH}K+$=`6XddvS7w*1`Rf|Oifo2Ld@T#4neb&>JzU45`_>PLoiG3jzd}>R1_St>
zvs9x$u#U%way0+<L?5#DIrXbV)5437tzNVr)^L@8Qqh$9eGptFOZah{3M7|iGDrJX
zalLywbidj50bBTvO=8#vMy_CWIXAU}7ui%Mtk~;;&z3az;SbAL%=wo+CbP?Ux^>d}
z<rH1WAKuQfIJtmL_i7hREiU1wuNx8P|LFh^)$32*#A)oo)I7s6`Xzi{w@NynjSdhM
z#qUSm9>usL|5Q~e{lmMNPb7qAYeRQW($nl`Lzvqgn*i1ei+FpR?IUU~Z76jX)8j;)
zn76B4vrWSSo)|mYVBoI>Vf)oIF^)Ry&4Lt<o9zOQy{)U;`K<|>r*;;)J@PR<>K1{m
zfAhG9>Sr}UCryZ>8S}0(OU9L%Q@Kp>dA$4Fok_<!4Y<g1parKb$CtVesx*9<#}6eO
zc7JN30p?WKB8-RYaoQ7ujHBP@@u>5*Q6J0IAttD6i8#=Pdl04z@$GqhxGgF)oT3gt
zsGsD*pKjb`j6*EKV*$6)lxe4}BEh4j77|xdKmI=e0096043~F2)o&EX?Y;NjT<*oa
z_Vzt4rGy5Rtdb~&P-HYD@hfCBh>T>1R7R-2Pe?{Y%ghLsS@!1V|MSQ5oYy(${dqG7
zPkp`fYYr!WyhmW&uL1lY&+0pJ594r+D7pLIJU$@%h5kk_1+MM4V|Z>dg0I+gRi5@*
zz_oJY(_FnMz?EM(<>)?!56{|HuXrxvRI*K&@G==}Mn{@9|ND&}8%>oudS?m0iB49o
z%95ee-=+Cg<v8B>Sm}lN@G{P`@p+G}ojNe2oL{t9n8Z8sn`b86R`Hkb@nFUnHQ1#y
zPZ8KVgEwbenN0Jo<BF97EJDqyp!sR+oSy4H+=Xpr+H-jWcM7{nca>8Wa$<TIn~G-f
z*8#E`D}38{msip&a|aR}%s=Wq#5s@mr^jaeDyKmV-?-T?6%v7aV3A}Hvw#;)`ncH9
z&>^PF9~U)giO`Db!=5TF;l9`EP5gc7(ckIUL7B%@;N>}yNR!cJJd)-DnM%iqsvh_E
z%{M4R*?E6E^`=!kCF)?RG|q$)xI<$?G?XFYLrf%X*E+s@XEOb50Sn6Lb90H$CBTbc
ziE+0DxA0J+cdu4G8+t&|%q)>5fJo(;jxY-vH2k{TWr>dyS#J}5p3PH&>ro!7K54Y*
z?|T82;YZwPyB3vS*H(hAey;dOeDsJxa{q2oEnalvxxR1LM@3jro_%Cq!hrnwwACzX
z_)y^YeC<d-MVO)CiTvTqgbsf6YMJyDKnvS;r~73T!Dcf4g@O|cTBwqpR5unvy6m?1
z!Uh$<=`f2Ie-Il|E_37CWg>#atph|3mMQ@G)c2;LdJa@GJuT(qBZj8gZGubV72wyT
zr1IJxZbZ*MZTt0;1bXzO>EzKU1*i{mD_LjYMXzr^wY_j!8m(9LNZ!4#085%mvJE%+
zP%ut`^Ww57&nvRi^qm68dbKyGst6#{q3eS5S#s!lsdf1vry>N=F>VCS3ZjwDOs`op
z1r&~yLSBaN{I`xiw|qz#3FP|yVW3q)vUEIGUP~)MNnB!7&Wb2f6r(rh?<b&HIwq#Z
zStSTg4eGmLD1nszB|a|dP(jTq4qi@M1n?<Xk@=D*g*qFEXUcj>C`mYh{M1GTp3lwO
zMP<k!qbIq(bMtEG<O#U|n?FRDFL##B+muBMGPfRevr^FKkTb#~-&LW&M<imwS03GP
zGk+!|tbs7|g^`Gz`DgWsvx)etfcCwaT~iR#M550VZ3BN(p!v`B&+K7JXp8p#bSbMA
zN@}u+t@76d!&s~0dUj<La;t2#s8<W!Jo5NU7g-x#v<rEVQdQ8G%YXOhhijuc)*I0Y
z(z;OjJ$sB%l7!Ndc<Mc8w9()7R9+h+eW<v4KiU75D!TC~aPqs54*Dy%d@m`)5FA?`
zA-ykZC|&lH$?=`~=$e1-RUeJv(eK!J$7yvGTNG8|?X8V$L+T|&<uOPzoX`E)LPihF
ztc&R5v=IIyux$M$!1?i43xCNJr0U~yg7uIln%cL~bG6P4zL~XYnjNGdjgDf$>3Rxc
z;L%Z0e?f)d-qt+c-4t}hwYa7GryA;kx3&o(<}i?2<j2BEL2f=Z_bdBV&}@0&R0*#I
ztcHvXE!vO~>lfcX@)Je0d8BBtGspt)2Y&vIYU;@Kb<KjXhb$T`nssg~umB5^{&nqo
zRU|RDxjC6ChRVbvIx31R;C<r9bMM7SNFh1G(|Vf^QAN?LR)hsOdg?!UK~+J&G<&b@
zwP!(WYBW4|buHkD?)>%oy#(|%*L7=sbOo<`9(kbglR4NFB-UD*Dxy&(8+D5R7yPl>
zVVi`*=HN+XH?&rhM?&XJ?x=G9#x!bGxqi1(q0zLcRX|P_mABXKvWQy2x*7w=Qq8D9
zw?r#iwoeM(o8Hgc1+?H9;;E|t!VD^s3q(DxiJ_F*$4xbJ4A7szZzZ5$2HCQyEH}r6
z(4%AeU2X}?kg(Lv82Aw2w-ER9ngo7S*$ic0Y*}H0O319|2M{?|-<}i9g9d$w*5Jwp
zksAV+BM2C{PuxD%Xu*!|Gj0$4{KE!+#Ay4xwM^mDvt9p;#hB0mvUz<KA3N+ZE5UU3
znLwF<r!|ugEwY!coqV;*2GU4|(bLx$GK9MqO1;-`pAv&c&q_A9n`9q$=#ddb(yY<^
z>YKw)bLDwobY=sOWooVNS3|glN1qxd{=t*0G<z<uvqI?jqY`UDLpVfmP{<SM#u;8_
z*gwx?g$qLB>)oyf@G7u((D}#{Tw8~~HTV!KEVmEnYnJK5d*(F*C7MnwV8h|kh8Qbk
z=S-6tSoFb0o>qp|U>Li@P^I;Fiv>PgJIC^z(SrxCFZv~ljAQQ5bJUlX6~xYBwxw;l
zpc52RxhVY)tI=!!?5@NL15QT?dkl2J;e6)|<LP-!K_EHw-Fa4!y}jO=TBHM3#pjg<
z&M#q<*PeIG23esDMQL1+)d9X@&HPW6tJq4!KFd8pY(P|SW-Lk9hF}GT8O8N=ESc;l
z!=}p)oJny38q(TuudzSQ;Qkht!hgWBNSXtZ4Kk=pxmxgQJyhE~fd)d)<)1yI%?T}6
zOI<cKw7{KQ_0#POEd-U#{;~+<0?wvih4%HDz$`rX-&GNMm|FW!bYg@XDvjqXg&Z~E
zYNV|0H+KeTeet<!3h}_pr(G&uOB%qEnIL$onh~hlV|&jR@WP$R7TSmu4LHQg=dmQg
z43Vhg;*~-^7=Eb`odX&G!kI_ZlUSg3#kEM|JwIr!N%AQEr2yj@-n2LgHpq&8#PViC
z06y1!zj`)@0x97g2QTC75czet(8+^BaOIiawSOllz^fy|XM2?s><2HdcsB?`dfgI_
zl_CWqwmB;;oVh^;Jt|T@DhlMUV}*N0$<V#7j_oPsfv?TkSsiTRQ0}BDc{hO!B3$0l
zO7D2#L{g8))gcK;CYFWoIY@>qd9K4IfB3-fv7iM{j}!##e;*vFOokU_!J(@P0^qD8
ztsEUH1EE^hL!}~Q=#YP<QyeS^+=RVEvs76y6-*|FE07^^fu;4@s1VToTjcj_l>=V#
zN*n!tGB`I#Uq0g{0#AF7Kh@z>0M?Rbk>oTo&?P)L!pkBCQPzdy$6XacEIPY!mWcv=
z3p1__NE|qGQoDv;D}k}r70z*c3NYVmd1G@|5;opT<aaA7!+o`ijGAf+WP6K$?YSxq
zkJGLsyWLlT#48qeFX(B&mW4g_H<E!kJ3~iLCK7mr)W&mkXu!mi@&g?oWkKMm2<b|I
zD)?KkyxDVehZm9Sxpu>HAn@2XsjX8DFuo{-7zZtw<0z0?S(k@|d4_xzaWb5#$}-Eg
z(uOsi#GF`BMTqKtmi<<C=Y6yOsxeMFaO*Q3B&Mqb%$@4yg_#r(EO~N?d|MYzYreZP
zWK94Dn?Sl%8V$JZ%zIz{s~%X(Fq51elz}KwN4Cc_Ai!PN!dJ%tD*11RoIIog8|kq;
zZ|yYzdwPraRDmIQH*hA}Y7^m#!c@12u?D=-n6`MLXbjsAG!=F&6M@;bI{4)*1+xAY
z*BIrPfW1fi-Pn61C`t79{(OM~g;g0wY+@KZyfYNMz^DqRqJ9JzN0C8CCa6{36rl7%
z%ZB-GRk;2&G`sG-8i=O`&&dn{AP;Hm$w5`9Jomeh=>-XX8I-OH`kFzR`@Xw#imLG8
zKwn{ilM3t^R}YvUF#}d#IcxfQ62$0)%ME=~g7kA7wO>rBaQO1sJ%vOPkj{jvGU+LR
zGy6L~^($1c{K>lb_yiHslX70v-jfA2Sv$$G3@W%z54PEzRe^W$&fXbJQqb0D_D?yN
z3ZJwZ_|MxaLraHypp&vFI1zdsA&Cks<9(FN0tDEYn&jRr6acRRCRcqgDrkQ_e9@yp
z5vIM?vG5EYNRFlvidUn;vxBxbSUeRVV?gbuk1QLwI~{sC^3x1%dqPt;jXW@n<U8(W
zVSsNRWfIF{%|M?lWSNpC3roWFexf~_*p~Ei8(G~9?u?xZR5q3Yf$J`b=ffAV-LX$b
zg<1eE{;fDM(k=;7Kco#KUQc7u7w;{+I0^7~Ftx9iDh_uBO~t*UMz8~KcXvFU#~>o|
zc2+}=2<Qtw7QDUCg}pwY6W1h*!E&^drBaFzXbAg+xqfcJ7)*CHe>i9g^H(mMz8o$9
zkxjw|VbwL5#F4&Xk((ya<XvpZbB_-?QWV|$@dC_1$v)!QYh%dFyLUz43lC&DjNA2k
zWnqyE&sAhsjbM0x#$as-7kILEweZ;%V9BB5c5e-hz-1zSjhw{}Z!6op5&|nR?z#&T
zdDjggB4k^BOpp~8N&a`3zSm)O5{ufsZ3f^dUUK^GcP1#NTB!`$e8h}jZ+xLj8vqL!
zs>l6cfM)*XLWcWau&{ADe>_kh9<!uji;DE%>=oxy9o2)Kx~|x%+^GiwQ^GCdMYND}
zG-uAFXAqO7+x~M{Ll1&lsvC1p(?De;H`jo{2v)w87cBKa7ZS$a8*4w?!n$srx;dQv
z3oG#tNO#`Wfe*KW+qS1RFwy4@TeET#SpD&_(rIrUAO#;AZw_C_PO-!+VXvmK0%^Vc
z7X#YRp?bXjwEG%nBfMAX`SX9+!I6O73HI9X_h9aZ-<?(LwEx!Wz`JwU{CW!S`F1Tx
zHaWv*zOjO_8@BpI-&nwgR=!vmS!;o6k=;9*f)(u3;LGi@$R$in-mYo1O%uuk{)@X4
zw}R~x>tQ>Px`HVbNNXOq(*%|uf@k6iSFoWPqj%J%H4Hz~+V{9$13uloY-qo_g1K(a
zd-w2dV*VvHJOy4mcZ_{$=}+h?HdW4XpzZ25))QIm;J-$JC?Rses_GgRz5eiPItwk}
z@%6*B@f4t1LH{?db<F6EKKJL-bWpt!#OY4h;foKs_>9a3roLV|wJ=Bzl#!}Ed!l#l
zoQwT!t&^MB<-j}kq>GF&a)bL^<p*^*U{*Q3_uCfsi&q2xL|}$a)l6G!9(6FNUYN-<
zp@9ouZ#7@s$q%@D9*u*W8d$F<6zGy@;f=KWo8Rkf&{noRY+S1f9g3ThW!iMWJQka!
zslW*nBda!-q*Ngp*~Pzfq6Z_+Y|Hd8Zty&6J&_edg38eYKNYeWz(1_d;|M)3+(`4R
z3Zy5&$hSj(h-^&IbY01Y$Ab@22d}R7L=i#qN5^jU2h4!w9O4Zc;|Gk(k8fCr2;KVK
zg<X4CA&&0cKf!20D3kf%_N`n6e$5!Qb11R{tNSm}+t$KBjodOYJE;Oek7hb1)i}W=
zhmGD_UlhK?ZBDPqsDRj<4QqoZH>9stdQ)x0;cwm2nBu%L{FtPzyE)DS6AV5XXW}H`
z0?|6=P@gj3nGu@=BR-(Sa`R5FNyF?^+tZ+aWnd2aFvnBG4-ZrO-@Mo-3)y2^&*;~b
z;UVeb>bjmFG_4D6_CA+`YxjyX|LUoLsot&2k-vnXi?k<jl&k<3PdNCzNmYSo&uq9k
zt3<%d_sA2m_ljV+)O$FbK!l)mIp548F*w$o|L4zn0`&HM+}AZigyfS4j2qrbK;zQ6
zW2tH?KwQ0fw*MOmsFwFGAKZ|FD2~W7o;4zve|_#k&!7g|&wr;R7t6p_#FAp*Csk1G
z=Xo)7Q5~Xb?X*}YW#NX?M%<rVb?}zTt@IM6fXHaQNQ$036lY8fr5jLy%|3qjdvOim
zO=6V~+VNeb?dqSdf*PR7KJce(uO{S(Srj$QC<0^P#A3>T1}s*WKe5Wzf-4reCj$-;
z;0pb!T12cS1n=tSQ&H3bKVj`)#ZqMm@^-p$R!|Fii4>8(Pr7iUjg7^Sh6qW*qf5Hy
zwP0$6AnTj159@4)dViRZAguO&pm2f~JQ8)d$Qxw{Iv<z94!WoUr8_4rV5i=KKsr8m
z)fjlLT<EZ~SA)AJ|L80*X+gTgu@;|DQ(%ZBL{^EYgNeoGU1>Xe>oQ5PKB5iab7Oa%
z=wo%5D>^2ed_)6A_YT${l`sQU=RbD~#?*ni`C8XoK?;1EW<A(9Wd<CdR4N9C)ZvGw
z=H)qEHTcdal7DuGcaQ(QF_lhG2R`As2TW5c(Aglctw%D4B83-6=@!&rzssBL1Kvuo
zc&S;UG~OJ<(o14Ic+@~rp<s~OCkMHSg`*WM=5X=+VHdF}60B@&v&U9QLBipn-FZLE
zfoy&Jf_=hHf6g0d<?@KYeMz(8U#;eFy;@ZJ53>q<pH@2YZIKt81^L;WQ_bP<g~#)k
zTnSKNd-iDw3oD=!T4!WyzLRSh{hnqj?#v6y7Sr0ssHd1d(EX)?@SA;aqrS@n*7yAE
z=7Sk*T|iT~F`Np6*VHPeIOHG!%gkS=ufvW!D3D-brNW4f+uHtpGH~bXhx<}iLwLHB
ztnplo8HjN<4M}Q9!mmHH)(6!8;i0X!GCp#c!M5H3^|5(Tn1+ePf2vFPNG!pG?aoea
zQA;d|+u4f_Z$62|3u}0~hI@}YFTg|gtZ7Cr0jP|V-K;pYi68r0E;~=gVD$*zx8ThS
z+Aej~O}yK<`mSo?goP;x?GLs97B0|HZ?<rs-Nr3*eJT&0G=cP4TF#7IRxoAEZa*tP
zgPxn^e6#=07?N7lj_)mHgle7$q1s>D_<i0pS?!fZAX!s&VnBipoFAQ*NISTVm%p(a
z^qMw=_Qs%!!f%_H_zkZA8vfhD7w!fORgnx~%PqvcUv>ps7+gMs<!<8H&2kFhZvY2g
z|1A;Yp2w&b0|swvHt@5q!_l|j=tJGRgEdp)(^y%-_qp)ybv*iOo4X>9J_w<pgfmiO
z*ae1vzvbB0agdp5E7<Y4Q4z^GXP$nn-IP7;fWsQDY@#$@)u;=q`^r_)7uvDi$A&PE
z=2d*m{GtIZQ5SMN;@>d|KgX^_+$Ybvt>P6qnZ+haI^f82Jl1cm64$WIK0s1j#SigU
zaZ$Flp;g_)e<ZvO*NJKQxL<G;zngRK!xKMk$mx7CQ$PM4e{NoMZANPqcMmV=KKDxt
zqDu~iin<Np_wLgNkRn#`v>@I|w-Z{xLjCl%JLe~^Bf%asPqX94X(~571~lQTDSO1o
z@E9IDW#vtHzJ@mzs~>kdp$R-G!zX>0{@|anPVKjM*YVfl=V;Y_X+V#U<tL_pllb!Y
zuCn364ZNVs!K3N?&R$Nwh$Q#T;JZ>k?qXcr#9Ii{KcqJ)@RuiOykYnso^mz()k@Gd
zzRT%~IPnezMifg$wvWx>X;h<u^%NQ;9ks{dryK<&EL6Ju`{r@(=#FTod$h<-!0u>b
z5E*)Qk(T(*E#j$(ZUcJH=n(Uy8Qc3(bqEcnyesEi#wDu@!Y)qIquZHYPl9ID;C3&=
zVd16~y!qB;U)aZpVhKW-EjntDW>Y1)nz4qzVty+l*2#oauNx8<BUORuM{-e0-oVAO
zJMqugSP+A9Z?17a2^JXQS^ulp!q2MXoQaNXsPMR7*@h7bq*c}{Qm)aU(H0ZWFQ+)r
zmUm<TVnCh0b72k<esRAJseDa~99NdJ{j#~xo07`BZ##VSx%z2vM1UUYmppsk8pDIw
z)ZOg0@2Wt1@x=ko7zXr~M?T79lo$1tvYBR!sQ_a+&GJ4uCd7<)wEDX6qYLt1j7U3o
z+0@dCH1dNPo%(Or^?+3Y)M?U=`1UJ9^V39k%Xh43qG8cPuvQ2atrwa7*djn0Ls6Yr
z2RrIJyQ`ixR|HjrX%9Q%1o#v7$%x3sg=$zQHaDxqP}SKxt}l}akoxJJ#Y>C_HH3Gc
zh}@7svXYzf7s3c|oS8vu>Mk$pooqCo^OZ*Jn;nFQmkBTuplADmksoR5jc}#1%A&;2
zX`Hza39!G1QJk7AfGT5^&8-6E&^OoSdpX|;z;>|csHv3@ik~Ufs$P>vl;ql8Q+;Jv
zf1Ee!B_o3Jqa7>*9x5Vk)+=VU^~ykSR9BD|7en>83%cYF5Rf3%e1ztj3RD-pKWA(t
zf%c>-3^_`upc5bTj^Fkpg6oYK)7fw-qy_IjXsr>^ct%Rho=g(#QB~ALfikEgF*}@Y
zR25|(p?CD*+u<*5xMSFBSw!>h-_}y6I?8xwXer#O4op4FKPUO*kzcLFr4eTeVt+AQ
zH{nMCzXrC?Zb1sDN;ud`$5I1*t0>Xk&e4E#?8W~$M-)-Tvn#u3WHgaOV(j~~JA6AG
z|ER9pj)0ur^uApAp@~lKDcGRi*M_zn3&CA=%1D6q{`aaNE%bIWI6i#8F1&j0$bVXi
zh?>(~jr9h#P+;f1Qa_45*yv^{tp$<L!^jVX@f_NyV{H-#iXjYcyot{&R7DRA!&Fxn
zw9r6KvtEO_F~qn)t@TSaBz>v%>uQ1)npigJeBf*f6~VV{C;n4MvSuVKy<Zcxhw9ww
z+u>}uRC}Me3>p0xKmGSgw+3npoqTvu)eN5g!*5CYk<qt$Bkq&8Dac7+oZ|vJ72F@V
zgr)_MQFp`JX74pMR8ime^k4IiCo%`uxhas*FWN|p^l%~y`R`Voxtlo%ZRtuh-c(2I
zgAp_<txCwGaO%d<HgovMoi<pRs)iPA3fIrl%OkA)<<by`1rS5_v!6SwiYQ5(ZP_VO
z$my)2$$nW2FzOtwM_WW>A0QN@c}EyIV2x|;To#Zs8=c_cu7YfYefExu@}ih&x1^XJ
zbNKnNl{Aq<K*tGcVVgBfXl+*8QR0?4jD+Z^|NNwg-h9(P^`USTukOxs%aS(-_SJDZ
z<$v<%`#F<O!qPu++=<i5{23KyUXwo_;*moF>Y>uSqn%ha?YxAa1{Lz&-Z|-JAcLq$
zzcUEOXRuk$qMsS1X3))4uTL72K-s##=i@w=G4ti~&-N0{ps`dBpNbGgpZBJs{NPQj
z^#lLO%{<u2b$6?K?Sv2mq0ZvQ5DlEv%=ZXY0x+b(-%UF6Bj%6c#APcwD9vc=ud>5n
z;9AH;eijefcE}EHk)wyxan}4--A$n>?#q@o#(@qC-r}&iO%F=Cvy!csP2h=x^smd$
znGq9lSov!PJ-APPq2^^8Lo(O1Fm#t5i4rZ}O$5_}*AH^ThgKuFB1d}Af^Xw=HqIxi
zRq5fci&SO}jS&b<$gv-lT*XH<esbMvp##p9iE|4khA^h~PR^V%kJoLl?y)^i2bsaf
zr^X@-;H#48^ya5YT!+Tx7-f+bE*V*d(0$Seo=86Niqk*w5Xb%pO!sI(rN>jIRaPHZ
zrpI||IKScrH(s4<GNT1Av`zdNst0_tO!?lv<@i-bG3~!}w9ww+_$;eO7bNbt@;gK!
z?1BBPMN2OYtV(j%&zk6h`H@}@bIY$-Q)07tV=E2BTj|9I=Ia0l-RHB{6$dfagWaqJ
zT{OV`n^}BDPzSbF$~pa_M=?V`rAB<423SU?Sd?#R!|weYdo4xAu?ACJYo1-SFutE~
zZk0wG66o%2@HkFmIaQnX{spw)#=O-4SG3^!-QTr~&;DW4Q8p<>L^`-Tp=v(5sR@k1
zyQizt=dgmG1H-pI(gB@FKe;nvC+AKng!^7yz<zyL8(z3W4~+^#+3W0@uzPQ;PWG`S
zOj2<FwdDW?U<&p3aeb%(HR4}Kope{QH(Cj{pF$X6*vSIci5h@|F0+yN8dmMUQofMG
z1Q|S6*!vI#j=fqhjN#hA{<2^aa!bq*Ps96=%ZUPKvrVo!32k91gD=95oo59X68i_&
zc`_`eU7g%5K?5r{Xd?gcv4cY)?Xh<TWYG88N4#W03qi_*+~-C(;1=tlvd6d7;lI!x
z@yGsj5UFVu@Nt9-a+Bf+K_hA)NL^(tuBC_0(H^HKF+5QJ@<YaFOEq|P?QQ*SDMm09
zeK_+B@xs46B_*FKRS@8q$}>x6g5-ic**QLbP+?s1m)BB-kEvNAlZGtd+4lE?Z=?Vm
zce<}a`<ev(L9FF9Yph^vZF!L@ECdTyRB21Q9iL5*y}C8X4r@Vl@yTt%@LVSM(uE!0
zvWR?wOU`fte^O3(N}(utxm>HYdP#(Dtet*V0z7bU*{a*QL>w5OJ*pnQMg)|Qih}m?
zLUFjGXh*Lk$PG|v3QiKC_ILgdhZH^t&cC$3NmK^3o9v?lT!|1xVt-vsCjhP46&@#@
zWkDPo$8H7@K}@VxTI9AMI2yU{4XBWVh4XuOGE0e&Z(%kkLJ@`n#gFAR3JUNoW?F5P
zjRZ*zk9lVnMPRV7!q=%#5p4BOUbIahLE!*RYDm8rcw;H9nPxlu=6Jii(_9t8OV%sJ
zM<t-_mGkAg31t{4!L~$6YLI8&Xnd1H8hXEn;$>Mx5T=ouV6avPueMwLP$UDHg0H@#
z9X~63c=}ja@lL+VRjcmrmxZi=yw>w#>M$>ULy)(S0*+F_5xNrc5Swq<uGmI~8*`_;
z7P2&8-?et;WDf-x&643{sh~i7PF_O|t_df&r5tT46d}X|M&kW7pfH*mtH-1bD>gO8
zNlXNYTv5=G5zvHXJ;lr4F6h8>k!SRm?3AHv`-sl;T}}8O0096043~F2m2VivIriQo
zndjKYIOo_S@9h}TutG?ZpHaw2$q0pz(4a`jXb6##o%f|s$taRhviBaLq@RDEKc46F
zxt{yF?(bDADEeBCQ40jOBEL?iDL}xZu{V8F6fp0-O^L47hELV_4~<QVkRmUs!^fls
zAv|60N@8@O+;bpBxQ7T_M;7g7W+*_@Xx`p>QXgm%hKiC<CCCveS$&>Jfs}7Pieb72
zFg?T&-V?42O=<d%@+Zmg)7!nXo&n(b%<uFQG%7%+IP{`&mjwL5aZjs<0icq-ZrMZy
z1U(V)(K1zNjKH=spBO@Zg8`fGK^4GXrTg>tml9CEy|24vMTMwtWlRI70<LsB6Z_^A
zfI}zog=#+)l069f(u0*jeI<(fMUgDjI4N0e>KnnOu1v1hr%DjXdFr;U9RW6(=)b0g
z89`lPVrba|A~eD_VU|S_(%sLy{=8!ZQ=X&ugPatBe0xqlyLBHZ(MGS|N-%<ZYkd3K
z7UZE?=5E5m3Ljh>$hg{Z$_O4F(a$z_m4i&=-ko><almyxnTiZCBWUF^{9RNp1I}qe
z(~4^J;MrBGgtSsYHf_I(7Kb!Eb00cp`DP2zFth5NIZcI{`T)^GC-9(^c=1Dj#1vwq
zvY}zLY6#-0rG9i}l0X^>3g+ReKt^=?=S(geLgwR+Bpq>aXt4;0L?;K)gHs763Ur3R
zveWtsqumdu{nf4<4VXm}99<ket^?pJd@KXFg~7IIu5aqy3aYC7$f1QBAZ#Qk^ns-S
zaI3mqDw$qKYlE46xHJ$rKJt6qvxyhV(#8B0r+%S=wd;RIEexP<QSl$%n;W(h#AeBV
zH_;zwr@W{A4?x@eG~3~1b`Z((+3Y*Dg<dn!(v8m0hlhiA&+9&Ch6i~b4*%(Ip;s>2
zDb>H%1D1qYxf)dl&@vG7DyZH>#p_bY-ZXmPqrz;j&V_?9%^$eDwO?qt#+OqFq6@L@
zeCziUcM)G<E4&-yFZ3^^78#1wfqwVAK9_sjh)A2+^LqLXbOU+QHP)pKlk%f(<!T#<
zBBks&es>KOh%!rF#A|~`+F)V2?FzDy?NV`acNGoaERD|((*n(e=J?6pIVAV@HF15;
zRWyjfIJ)?oCT#Eu3SQ`)K(ZD2R`Kd9Xjfz9i#Ix&@ag1FPwkt-NKsSpky{s*QRYUo
zg1fmI@T4(@*01Lq5|USn=Xtz@im+K!ZL(>=6{Ay^UYm6yQWK#w;|~{64aDbgS-3h#
z+nAnl>A(<HlLV&L!3DH<{@8Hxk{TGN4L@8=dx($}gB%+i_s&Bl5pORwko`=bKdV%V
z4s*$P@rx{=<tDzbB*rN4>BsN(%85pl^^#3Zq38n2%PZrW>_&l>@IPj?)@`Ut#)|>9
z(+jBZN4xU76J&T7Pp2O9?=u>ZmNR>KY5|R@44)PAC4;X9JauF5MXl-WEMm(R(I4A!
zogBYN(5Mik!8X>9)=pa0Jg!+nS-1o}En`Tq_8>X+$lV`kkzZ|{W6Uyoee%+$4n7hX
zJz!X_zdwvdTZ>pQ9$7&(HVe$wEmT2+;r9VM&rvkVT<Og>tyR>s<F0tjWfeH*qq!5V
zHI6cJm$yort)a2g{-G)_l%ZzAHu5{)Bs#pZwvZpWjvC%t=K49K1YPmJGQZPKqrQ44
z^v?a*Kz(sFmeC4IQ0Nyztzw!*(?1Ys*}OK<1qbh8R(~RpCr11466etuoPy24;@jxs
zI~^8*wTj?&Upu}qXc5i-dOKZ)=?|(-44kN7Q-riw<u37{Wwb}^)dr``Uli{3)_iwU
z0P?n#*8HA-in?l#zP|hqJ<J!qxrNGuZGCoK0c8z6rbE1!&O(ccN$X#bCdk9maHY-<
zbRB({+7lyu35S_V=RSx_k^_sQ9UQ&^ztFtVj<;;A^qAh*Y?IxNEb#sLvvAgI3#DV-
z&%E8tfQkJ*z1@Fa7Mg?O>J5+lMh`A*q_>nZVIlHi=K_{xAa~z{dF_=QRK)t6TElx5
z%&<~C=H^8iC{$oxqM6%872@9`w}sg;tw6r|Hk=F$UT2+kd{2W3nY<`JQNW2+bCEKB
zWJm+f&bDJi4~O}j`W<Fd#f@31_of$WOGCqkD^q?q9Y*)5YgPq#vGT^{6r(W$7%;IU
zuiRn4cGW9)e3$sJFKr^BxJ&}Dnmu{d5W$4GZyP*3{aye=YCCqXx)8ueN3wvJ!GcwD
zj2J|B2w~n$*S=Oz2(b42wR-L(8+JI5$I+HS1e?Yi3$6(hAmja0rFZ8zvBV!urgj0M
z7{}MdL^gf`Oy@D{=-%hXQqK*&{l+VSwV(-@y&M6iw!UM1qP$oivn=22rX<!L(CyP^
zPk>udv;ow2eAwZ&^p5UWJZ8k<D$VzF?;cKy+rn)Dj6Kl?|C1z*iI$ekWs6Beg7<=r
zY=RIrRvm`%?8sml_KQp9m^8?qetvqsa36MB$wx43LJqSlkwk;iW#D^an{wmEeyo0u
zaQ)k?0``Su7d-Mz7HCVj_xt#ZV-mPH9Wt{L=9ZikRzo8X3N0t*yAvg`V8#2>&RQy1
z#)(J)qsI#1&RWCjwI+q#`|R@QjTQ-GJ?n6AA(seu=F~5i`4h0A{%gl{ZOGWpzJZm>
z9c2g$D8V=HNMq3l-47Z6N5NPX-VhaCNl+$~F=T&F7Ax*^J;``l4LcOkM7g#_hVo1;
zzjK=MSQ^j4KnzjGShs13Qt#CuN_Wmt|EmI4xv$|Z@2WbcxqY*3{gVa^@gIN9ah8Zh
z_Ab!poz=jY-lh9`&}u_TWM`ejq!N~<ZQmoBp@C7TFTL-c&;>GeSC|h}FqO`qv6TTD
z*vfY!UZ!?^m^c<1XLd#v>mbx|_sytd@|VVRK2Z?}kg+)(Ay2|Y|K$Ie-&Mm-kVg+|
zcLQLy8BsaGB<#$>r*nhl6ihrZX}WjG5E2#K6gBUYuxSs;k&kR-OspzS<i9y8;J;A5
z6ep3eYL@84cRDIqOGT&0-8v&U+>(6ewj~J@n!h*GwxNJEb)_4xI~aol{y0;0vns}B
zd)D_|gbX(Hg&B%aV>o+ZowYPo1xv%rKX^_rg&B9hkomM^460&3rk?OAV}iSG!Q+AZ
zum_iO4lpbjgK4Pln8`6BrZ-?CVReNElmB*ix8;p7IG#04SU9bKom-jfeffnRb4K%?
zse2oP`S7i>FiSaXIQDzx3xyTb#1-ey^2Z1Uc>cu66J;=MzZik$s~?dVp?*Sfh!OZd
zWEHEy5iqgy0=J&ctRb68FBW2FsSvv)%rQSAi5bLk`h|wlz%PTdcT4T5VClL$c=?eS
zrulMxRneCLdJ9rGzcv~Ia#SMb)9Za$50<I1kA(%QOy(u6RSjW)>vrHWtswTZEy}1c
zi4EpNZ{Kjp1Gu175MgnX7o*Sj*Gp670MWCp2|D`#3h~`x(8P%)$2!NN(wrdRboC%n
z6#?%t4R*0*W=t~N${)$#gle|a;zS(-$Ru6SPIyd*<@6LMK^Z6bn{npIS{(q3Lm@(q
zHGk1)8jBZx37nw)&F}MtAbqgf-aOqWx`E~nnAhg(bAslwuz^9o9<=0ij=;NF)c7o&
zamh~(a6g=toi(Tne*12W3w`THJ9ZlhVplm}#3f&?Ok5WvpI@{X?YM>3ho%ZLD|3Ke
z1!MaYZykth7~b)f|B95yNuMvCX9sUvkEON-ZD@%SrVJ#FBd3QBpJ!-ghfysR%2km)
z9&WMuW|p{s4CSYJ*)+0)j#jj`QG^!YOzp->`&JQ$+5-RJpX|{6TjcoDNlnOeP_K5r
z^9yOGQ{S|e<^WrTnJh<pO?V;`C~t%NjYxjW^%TCt0n-`%uSNF!mA7{7VVu@q<fi*$
zeP2aRh>H2R^5&ohq_zw%OiIuIL&es^;zdq))b5li_dy+&ZF1PxQ)$8UsH7s}Fc*l(
zoPU1UN*x+X%mdo~;^49U7fMGIH@Ht5GARF01Lx%P<^yi@u;u*c{vkOY_*PrD_}yO(
z%-C<G%f4rT#E&=Q1gChQ@5&)!II|j5Ttt&jP?+Gjq2=UHloz=Ed*q<`lmf4B(_Q%b
zm>IO*ooV!Z$p;3T?bSz)P@wJ5Zdr*eD}-sS7)7A`pjf}(mSZnxBz(0lqSb70;%)U=
zhG_vX>QD0PFCxRC|4z=-oZ^5Z{_^B`B_T)~s5g`KAOjLeuojiz0*CSYqWGJ_@X^;3
zA0<Zyg|WyGi3o0BdSqB~i%SIRQ{n^SS4j|Sbue2Yj0YB*rcbh$?S}%2sM_Ba5}2Nz
zo+c&m!f&pMM^ryC5HSipTKAX)jA=oE`GtHya)?ncI4S`~`ZHB^H%U-4R4dr|ogebF
zc7NqPk%Th7TUPtxNbq{ygKb<!5M~CLoljLt!DN-f4tF96LYy_Chhv4H_Ozm1>{mSe
z5V%%Cn@xhsi=RXjehWi>KZ#e0P8x)%ADg@}5>URZy|IoLfu_1A^XLH?uqb~mF}*>8
z-L{JJHbhaNy=>lO8Y2s8C$l+;2pPhzDjkxZ6oYl*5nOMV96WJ9BDj=IhUocS%7;n`
zXcHEue~MRtN}rF9X80(;fWJp<ZkGhf<`3lgAVrwA^GJS`Pl4Mz4H2{NrNH!;V0~o+
z5nA+H!;25A!JzTFHCr1V>W(W6P5w~=^lRXB7neHtq{gSUe<px_gDAZ+K?OcPp6W|q
zQU^v+OMUGDX|OYMlO_;V;iaDBK;^6kq=oQ%6%ETkk~waviJk;$ip*-O|1^Q~S9<cm
zuq^1DFJ1rOxVMLfib*p{+OV48J2CuK4zzroS`Y8(j(gthHGfVADBrUNEo<fB!Irb@
zkz5k2Qp3C^-spnPhn;Tc1O<3%UY(wvK!To8Q(8wseTa24p4_La2#%ws7s)0hNY2hZ
zl(g47d@esFq8}7N#)bOe>N8ac(hfZQ88d*M;f?rzWFqul?LYJ0Uj^t#JI_SW0K}xZ
ziMja^;c-{<Oyj5$h@6}qx|9mQKv(UV9!><>qUTHo>_kwmIp8WMU<j!7g;n%85p=c-
zpMKkxhc0sR8e_B})HELUet;uF{CdR}XT2;4cVB3T`eq0`Yr%r|BNV|z+J%?TLmK$o
zZ@BRDQ^9AJg|W3w0pjj!*10q7%}=?DvcDD;%x>Q*%v+I%?ia1A^k*et;or+UHdHDI
z_ZBUFSeFBL!52-bn<9WnG(7j$q{6JDD_8NLER@HM>N<4`g20++Fj0^SM^9H+h&-2p
z`pJU=X`FmO<MCD1dE5{#2oi7p_LqhuI#K1}XStv%(BlsCBSSE<a}1kPB*1cUzm3X0
z7P$3AZBW(05YBSkHfI@^0_&6u0s9N+VeUu_`@_9n8T{~uBbqA-I@ijX-o(>@AThnT
zrx4)l!QpVHHgVWBZyaIr`HgHhU7%ex2axH^PS8Fl3QwJm$+4?%AdBnNalg+9Y>lrL
z&?}2TS;ufzmEj8Vb)L1IhXVnW?XZ&=moS|7t;+K2nMaBThaN4O89=~HQfru?AWT&_
z+IO(bATw_-Ke``x0Af6wN532M!|`7oU5~#_B99ebu25R_VK;TWbSIM+giq-cO|~bH
zJKz7XMzQHbM*q#pdSM<&YY;djOPNGOggs(*j_E;wME?D<FfL$LbAL&(m_lsrdtHC!
z>H?gcbLZjW0D)hMId`OH5Vuc%|J_;D0l#&zN!K}6=qfc!QB9ab5cl}npJqA`fFY-5
z*jQltc=dBuk45C+(Q|eE1==9duhH?!mkAm(u34d7%g7Lx9eIIH8+zPMC6%)<f>Y_2
zEQ5Qi$i3R1mvX$cAhJ=!dT59qsA_J1W-hNIPo<cwjk`2K(@W=>(=;8pjkU0$SAHS?
z6z9c{9nb^@+gHD%@N^*m>k3Wm!!2ZIba9}jR0H(N?WC5j<DmJ$zs~5s--sMLxOhuz
zKosYCR_1;jG|^YkSSbBPbT&S4IOV9rCXXShy@wVQ#3f#*Wc@=N+CMl(i>kx98`H0p
zU(rHdU_s%604=C?&nu4PsKHUuPt8~bEldUB*FO5;pjx2EGE_zlI@8leroYj`1$L?W
z=>a-m2p!+Dc|idYug~@#d+)N_)TZV*Gk|-_$dStk1+2y=L#-llP`>a}BJmd^2;D9e
zXYD3KZ{t1(F&a7$u>B=;y_gw#X5`w0eaPTAJ4d*iO9zO@o0k=ltnmG=v}rpN8M><c
zB6?2ILw?3j8kZn;kQ_C0wtq%~l(M>KW(ExK^ySwltjU~U*C0(^v?Rd--%@>vJ|pD(
zmM^XL;)W-ioHW&&s<7KbDPnYHg5V{eCf$cT;JJL^=)99ENNdoDJ<4W=Ip^GD?j>F@
zpZQE{{!s;%jxj9=(y@ZvWDT8#BR{-ip{lo-ssOEt=PW6O4Sol|9_Jbs0NmS&3yGhV
zp<@+!whJ8a&3{cW=$a6G@w<_=;-d^w?DzUHF)pZ68%Glk?}MysWoBtY%1}|c@+mNt
z8-mdp6;t*7z`AZXZP}{?)_R-qp=CTEF>QU#-%t!zGJ~Woi}v!Ys$au&oEH@Gx4ws8
zkO0M>FU)!GDS-`FgshAjKb(3P*{nS!36XE<WiMqZf%3_x#dg^Okl4o=^IZ-PTAOk4
zD7M$HSEfI15rp7SMPSrwI00OA?yKHqR0j9{f%KhLVIaG7X;qC%105q<7Rz~Mu*xC_
z;u1xmxL0bc+({Om{(TvBlSu{4GdjEwZ&8>%D{v@oL=MtxmKEpPRQC4jD?|G;;_#1F
zMg$8|fC(!3y5Kui0D?~7T|-G=jfkwv+RI`4#*03QVI;WkR#1Q3Sqg-lw+ee6D?!RZ
z{NFw@8PG?KF1^usD83}U-&acoR&;ZR_*p4%y=P<M?MnjeH(em7R;j|@i`!}g^lHG(
zKv<`rk%r2ktOr)fBuK#B^V-3y1M{k<W`@+>KDIGBlchk0>VwH*>h2owQ~r2K+;KU0
z{Ka<B`WYFnxaYXEwrGNQxaXOXSa}#7YTmA)r@)n|+eD3n+MtkQef~?n0`O+c+G?p&
zU<8xsSox^~)rl^mEzcAo)?IUHm_&izFo#s*>v}Mj7JBW)Z6Z)zrjBTCkm2N{b-shn
z0pP7SpYgX*0`K@d{lN$_82Fl(-yAmpI`M$sgX2ojm^W>Ud?dks(VZup2taGon_VAJ
z2J0-|!}wZNs5J}JKfkjlC$&^F>9jHgI`elmgeZgg<$ry!m;Z!H_aBzV%D{g=r@3fU
z5mNgf)~k@IaIVhiMd{R@zBK<n6S(9dYooRA=tC;J@2Gq!d{hZoiAU*92+P13rOo(L
z^Hdn}OrG@!A;SF+@~gysc+fo&_H0$i2=-+&7T@$&1a+H-b=7v_aP5@G<{^R+gil;)
zIiRZmUFvVzgIk0lDEREzeLP0M`CL;<dv87*Ol%I<JmCW||B{yi6I57~bdKpfCkqSx
z{9Qt#oN(&vntf6M6+&LCNm%avBgsSW2pb<GESBh-uUS#SMY#hP>rB||4>c=QLA%H)
z_V~5iD~4cq++WPCQwr`ReZRB8vxe-q-7jc#-4KfN7r8%}NrK_Ld1z<l7}EJhpTl~;
zA$X`K1-562K}lxunY7_|$f4h3(`SkRg0F=WJU)oP;u~KPaikS3HOYUPqYa>^!aK1k
zCJg_|hWB~Z4Wij6BN?_+5UA)*UT1kI09IwhgcP4Kv`d9!UiHNupWL>|HMiu0gFVp_
z`g4=$f6r{kta=Z?8!@5QepMc5`4;*!?CmuA?md1-2X_Fj4>+-FU*!Zg#vNvViy3rQ
zXd}@@T^|}wi`CB4utD=zy;+C;X|!YeXT_wi9yF!sB@+gjAn`_dInU!MRQ{!$-TPu)
zP?uy=mSSUoqRWZWG*c63jT@n(e_03AJ&zQI+`vJ~22aD`k7MZB-hk4ddOCo++t_Ar
zPXnnTdKY8^N6>Qo2=QK$HoPhBnz`JzgG4uLTFTD<K%c)}KT|cT1$UgTko>*25$zny
zUh+U68sFyP^zVQc@Z%f{CNBI!CJv>JReb11AFFo!QO?nXgEMy?v`nudCr(FhY38(}
z?iQvendvlPNUl62uX+VZiRn>3y7U&63iMib@YMi0{UYNVua^)7_PZf|#MkKTrDE5m
zes!3=NqwA?G>`PH-xj4@x{g+Ra}#q9tHV@D%Z$V146?quAJw3gAnY##g^e54VCgc2
zSF2(QQ7T%ki>+xu#zrN}t8~@C`{ZYvBQq1obA5-9`u|!H`v|kDfhr0#=^kY!hm9i+
zCqJa`SM5X&PMt5isZD_d(nQsQ^B97H{(V=kZse|SR9Ia-8GK$(c8n#ABAjPFvFum;
zh8%NxPitaKhF#0*i?4r;Ao(qo5n?j~h~47Hb^cBg@EhF?SI!+l_?!Zw3`&QPVy3x!
z0w+nZWHTr(e`N$YVJtV&Z#aUueRkFI_^t}sJnay1X9VFEzF9)2JBIL^^hvy=SA|?K
zJ3HS!f{+%!MzWbqAl7#$vlb~TkT;a`gOxgpENT(Elg~^cbr+|1w>_1CeNlK_ZEzG(
ze*Eg+iJ}>V*C^kpGFJ)QYFui=bH)%q{~WtG?s=p@q*R}Im<X4;={E~*j3eSLXR6NR
zEh4R@l#kz}iQq?H63bUGfhddaEBao(j5u<fBy#WhAGg@B+c`0b`1;5^J)*jbOiOWj
z<u)ilk~MQhsNFQ8_<iC|_op@FgC%r@^C<vxOz3Cx^%=yEU&QNr$_Dak;dN2wIe9R+
zG+xQuJcrc0>M83F*+e9CSbqKfBnQLZ>0Z>f1*9;!Sn1}iZRBWFkY^rQ4o0f(#0D`e
zBZcqjG=>NMAnydT(=s2(0@viRawp>zWRuv?8-8*ZQD1BD-(i)7^j8y4m>;hqnN?Wl
z;hQvoL;L<sMajVMt|EPs;yR+uar<{9FAgHoa}sX+mWHg+b~*dL4aBN!){C>A4)|Q9
zq-4US;oo~>KI+R&M070aAnPp#5Ob95W57wnVU{@dtom)li_D0O-C+VE*ZHe=ZxSFs
z^TH2>oj=IR?wWew2NrPEqq8_JO@N}mB3IRdcad0^XX@M9>>x^i$!-b5!+Ct~j!6a$
z3}4P~BTsQc+JQp`3Z8iQPcZV=Ct)1S<+?}X7r4PWQ%H+O01u`sNe!wP9blIU-d;((
z5XpQqq_9H@_M^uw;0^<rchjrP+46%J2b!3fCIyAj$9xE>Oi+~=xpwN1Amn4k@wsQD
zVEE1JTUM<su=-ZrJu^TUoVFxVCXPsfNCwYBiW)n7y#BN*vP}e>zVXK~8B2j$X9{KU
zJ15Yk;4Y23h(W|6t0vJ}3R<HWK01$c1NvO*ucnYBFf|OG;|-AlucB>FawIR5h7#AG
z=175=oL`CB8!6z7lrbtd;D<(c2LkRO0kWfQ`M${DVb!kW*fn`U7)zY}yTUC4CoiiO
z@KxjC#TxrDf`Kq(^Kuke?Z`q+^JW6?9={mBz8IB%RRpMUUCSLz3Lq|cvtT?}8qA-m
zx<;>y!ch^Q&?FKOOkxTx?^MXZ8(ag;>2wJwZz{lL1}Xzrc{^_HfE*mqI%L?XE(Ng~
zqg3y=s=!3E5dWW;0<4EUObD*PgVJ%6qgfne$T#*qcJL$-TmtK<US`se@w)W7t_B72
zCPO?;_P9tsG5Hj3K?Y*eN>b!3)!^djiR}BgNuW6zmiI494(bb;4mDY-LrPA0Rksrb
z;(Azjh}H@qx+5ofOhE%?t7t;SPpJc6vPGdj4H1^rdk11aX@J4GzZ>0|nh>(SME^cV
z34|X6rW{q!gzT+jsY?txU^<d}`I3YR@M<|R+LAP(xkfd|HB}GJ@X2q+1gU~O&q&t0
z9u1&QJRyB2832CX%jxZ2-`=i%yXD5I0h(jazE=GQK!)2ZM@mS*{p6lS#NZzHkI_s;
z<`@DZS|`*uNdm=5ystTx0*5wsjV<e_P?8h65VlN$m;0BtG_Ciz#ZId0<8vdph%t^u
zwUD6N^>5OMo)V;9_qA8_H3rLPoPjN8NWffn>YaL=95~N2Z}~49LoOloZP_bT*m|LP
z$*UF*=UBm>PR9h|!bnnf2UOtRt9vOFF;RHI+>?FJ%mlpCP$}fH5;$FT37v4|1Fx5b
zQ64fT@U-DoY2g(`;HJaB*I{IW^181s%zei2@!a<H&J*%r8pTK7Q@)DWx$r%b^EQSu
zoP>FfxGacLwA>0bKcmO5OD)?>7{P%Jrkd<N0xX&s<ANAA(Sp^FWwJI#&>tS}grrLW
zyRE6X#3&BSOSBDaucCq^H;(<^M{yX|>70HP$&9_M5>M{lPlck~1-blm5wO7q2d`wZ
zV@}OGAzIOf@QPO3KO$EU9)F4pQw!z7Jn5RQ<tza354JEnFYp3ldJsMKoExLeNZH*#
z1)y|bE&mfe7i<?fUnS}DV5d{xe)&?4!2bXM0RR6CS9d(sZxpuoytugb=33XqwSA9S
z(jbIFib7OE^;43OQE5jMQBq22pp5iAG(=LQrDRqV%3k5;-}m#p=kuQTbDr}&kABD@
z@xnSj7z(;eC?ts^MfJ>o@nyE4{Ck^&h$tsW@7W|Tb6y;GR!7NnJhg$0%{N(tE%U_Z
zku_eS$>R8%M|qcAuQjX{H`;JHWsE2loMq<-5XWyh4TtT7t>N?VhLjQiexh5jLvr3g
z9Q$W-o?ALv!TR%^Xj%H4*u9><lYL1HcSd9<E~Hq(#93Q@YWEv*h18$fm+fMBMfo6G
zR;vZrmQ9<O%=VGL^e^4tSs{idG`S9aO$*ps+m&|w=?MAwQh>nAYhviv^6!F3vN?o|
zZ&!(j3G$^Q&91yi3|)?%NWb#a3_^Fv1mC_rLt2hO#+qs|B)i$zcX^mW+%JnvuBw0J
zF0Vtyiv42vJSk{^`ho><Dq~}@R&1EhnZa^V7sv3Z0$Cq|1?<OYBJ1Yaapkb~ilT$!
zD7&;`oRc(#?kw4vs6tNsJf6Lx<Ci#6g(aNXolIeK4I}=EB{w>Sx~`9kqM(PVV6{uD
z2^c}$%D4s|Or%v;4p1b}By7Wjfglsu@abY<%sM_)9$Xn&-YkJJLHwn2|BRtZMd{`2
zM}9oRn(A9yAc^sJek$I{H3ot6HB;l;1hF7;G|lX!6b7+Rme@KN!@8`T=Ai{46kI2_
zV<L-+Es0a_mi{s!^kSlq>@^X59Gu=ES|g1<qsMwZt~24)Ep9L}5JQ;>9vz8!8T=P}
zN&7(%6ZE_vUN@BzM@6MzpLlN?{<NCfc0-2=Ietx>oA@ZmO&Xkh{8kR@D*e}doG}8;
z`W?Q91thTM7Uhp*hypr%ui{>8HG<<WD=X{eB=PC{)YJ<!C48pyJ#n<c2-+o_t2%9@
zFh%gu&!oM|Nagg6yIN!f&o-59{j-OP*&dNrU&2*z*e<eN{;CnAjaR?zuaw5I*v(wk
zyH#;XcXm4Uwh_3Rd}-PxA&VL&$;P?~Y8V$u4lBJdf>0ib$caQ6I$K}9^6HX0?mv`!
z$m*{Vr03C_lepyZ=v6Jf`>27ghi-IO=`kTZOwqOKq5^6WC!^hmG|@OmL^=H+6Sne(
z8I?IGp^Ev6#85eHZ2s8(Bfg6XVrtq>)A7ovC?&e0$3+LZ3{&lceU0HpvFn5EAQhCP
zc~{g&(Xl~u{KBeV#xS?!6kxVi70D7VUX9bbIPOn~O`SCXFVgY&2WvHa#(VCO@g+Uf
z&h{Ox_ArI=h>`jkJ#~z_y^Cd+p^rXyqlUfpSm5KN?V2N}fp-SZ9vj_gfNSk9r?$wM
zLA|p@rY^T8O4bL5BrF<Wui?`^Yh`nAH&*?0^}8m1%g^)C*ky<=ySnOXSr!oCUOtpu
zsfGP_bV4()7^0Q!FGtT!mQdW=$Hy6~jW61cPUfC5#MYkKKZEI3P-pT~z(7?8pZoYW
zzA#_LSC5<tuCj(ghHJj+T^+oxx3y&HoB<B>%BXz$ZUeS*7H`(b(Q$QqwW~^@J{H@q
zWWDDhz##le&b_U4^x?K`SQDm)9+$-pLInUS?Rs+6lIUm~sny0iynJuf^T(@?0919B
zx18Ni$DSQumFLZLP_D_4@p~BHr+52Gx;-7gziHNv*`S5S^r5^;M>~*|7~j6DR|j8e
zojY-Eg9ciu(<P@;?ZBN4o>^_w!OWz&K(7^QXhBzwY$&sX#YgAwl-}0H^!SF_<7O&&
z>|e)2lUH`IXKY>lM5h)qPKFe9gehX}exC2t7CZ2zzEu<%*TjUc|5;tnqT%`I^pz8}
zcEE_75=<G@z!znsCOi40F|?s5xh>ZYPQ59<pw^|1G{Mj-zn6Jk-uP#cYv=NNLg{#?
zP7V1pue`WBB!=hPp7$;=>>z!5Ze7vk<@t{Ir!V<Y2o*eMWHo;SjC4`6Xa`krkgO><
za+VJj)69Q7$pg5=hOFb8l<|OyQ$ZIOH;$L!z1OP%PSHm;=cOs4@iiy&d#W7h$!Srb
zIzYge>H%)WUGgaJN=naGFOfr&hYS}@3E&GCKa;hahTD&ZG<dK2M>fultUaD+3&wXZ
zM?F0ygU_mLYSy*Ql7gd~Mz1&9K#mvxX`5CmzN}bk-o>0DM>BqRK9R8jhH6dtWm741
z@)Fv`Ts=+3`+Dm2Z?}e!w$hK+YnS_XOf7HWoF@PKv>!SjS%Gr>$((Ir6r4`ZwakNQ
z(s+li3QNcet_#cP`k9MkvcD(0%kVVm!2dUEZLlSD>`w_T&=Er^fz_H#(=()3NYu}5
zXaQd=Ciy1!i(u@JGop6xbEG%L-}#!d1(Y@S&o6ut!osIYA+^KvWLt5irD}>fcqQao
zxWoyfV~4!e+|vc}q5WN#kzq5KRV(qh<0XKRysg~S*GnWDO~^`olNoeVK8Nyd<HvRL
zWRV63JF+>ycRth1f)9}~r`F%#L+916c5N``z(b?6dt&Ta;4W1>R3*!Ydr}IUqhmQy
zq=nzB{_!%ei9v_!RlFF;zjI|uI~S&(TZl`sGKHPbylWed@M7^z!wI?*4+@G~Wi&rA
zfyLj9)AF&r$h78=PjBW$eYvX^CC(<WCF!=#<au74k2^5Sh~URuzuS&h?~Fly=ic>G
zA9%4_&`D5EQxFeQLL&2mjp37H{1aJQJ~T?w$UF5<2wx;iotv9uLc-~Hes>!AaAI@%
zywaEmdd_Zqek6+tzOpGd+++DMgKf>`*GI(ge#ND#|IC<hce+(^dbI!s#N2wuRw$0<
zd?)Ocz8OJ1&4K5Oqae1NtZ*RSQ*cG&R*^TymiKVb(zfI+Lbz#QY`30*B%XE+xHw{C
z1X`*KHr0i~$Z=?MZgiX!vI4gTPE9j_;_CG@O-K}tY@)A`6IATsHM5DXVt|Qrb$RAm
zF{C|QD!!K{gK;K3{QSubIE&%;j_QizuUeMu8x{?VcY65k^<se3my5!K3KYDnaCFr{
zPI<IACb#LV5d*@Brfcb%5_r^6_w}a{1w1zSD%n?t0lM~TAHZ1>3o9Himd`37L*=va
z4*>@32=f20?~oKGaz4stQdCgZFt>F7^0}F6`)0!yD#o%M?{zm*MZ(PwqL%CIJ@uZu
z&P)a`pPcI~4Ohb)5vzp&76USV9)7=6EsOJdqGCj;I%cgOj~?8{fQ6Wr5?&uUWNuwJ
z>%E|XKc#gNJBk@FNNqDZDWZU@{&eg*w!Gig%zHbEvKv8#(du7MI~7q=KKgOuLv5^h
zZb=D`T-MVZmD4g?mC;V%Q+bCB9l0;5=|5f8Wlmn#2MwE5P+mEki|apKY|HPUJ-x()
zhqc}DZrfGyr(wUY`fEMR-E;WS%Z<jMyYcdxBhhM@WY_8}B4&V1qeA$IWdh8Le1T_=
zsAIuMt-u;HL%baM;=*%7Q;07Ycs-k`fkNf0y*1?-xa&vCIl_qr_r89}PAb$y)zS*3
z56KMF$?ueQ+iM1upD%2&E7rmv7B3^eH8YTZhk#b&V{<t3pNHDb%i35dSCf`K%E0FH
zuS^%HmS82^s92hygXk^hKR?94u=%wG_YPUX5f9ae^DF2`%`tAL)-dpGTNA}#&>Gf7
zC@fiz&@my!?!akZ29^X0_oTSlLTeXoI%cOX%J+JmQ8{ghe@-~*&fg@Uvb|I+5OwkL
z-Y-Yw#0@aE{IS66y#OuVUEkjK>f+}%)7g4ky=C9U{cM8U4t_iSs#a>##i1AfUfXNZ
zkyR;i+&$3_UhX-kWN|_lEiHCj-0?{Z>ui2sE$O#|u;|aRe<gKM&t9}{PpAgU^^`vz
z)3=8j`*{7na60ZD*er11mnvT8&u`f1XAd7n-lAug4#vkA8}UUcqf7oJs|}I%@Jr}L
z$d4RtB<e-}xv9wGk+0Sm8Ey}n<z{Ql4{71w90}QXH>Gh`;ifedH+u*SmoZ3Kp^5yH
z78laaNuXt><wsK$dw8Sn+NsQ@fni*Ydmn!m#m?Zq4~o5ZpdI2BzPeNmrJbL;Z#=+{
z`^6|T)GRwNFd8p@<fDq`RXOYlK`!i6bm*}FJNVEPv3V=E3Z_z}2cPmUk&@$E4!ZXN
z%$3Dz4Mr)U@a(nkbN8mn-q(3r^@#v9d&5TmF?nQe@rc&=K1!xn(fyAoEdR6C>)`jN
zXn63v@RjuwzsL(>-{ajP3D~IhbMtC98N9?!JCS{)pFAG0#gi<u1-r3mijf%=mB(#d
zFR65sXZvA|bf*pMdgPa!xy;`dBTtvQkq%O1zeIngv<+;?QB>J>n1Z>gBIX;TKaq#s
zJ!eEWSc6A<MbO0_G2CMQW7K2SCvu;A#Cw4pE9h*zF46Z%1PdOGO(ZRSCOa-y1h#ft
z!p4fJ5PcgVd{yG$@r}_*uJ2?LDf*T$DAzEUJH(GQ{Zqul7u{sQz&2yO!xkVXttn~L
z$BX`-wpjFs^^sfLe;8E1HwT>p&Wap)9z@<lHddiONFw+BO&KF|aBE7m*nXZ1*Of@0
zkS-l0H;bgT>Yg!!<SrjyU1v^w{^`|8dHrG1*Rxan!z2qhj(B?(=yPDIyVs@4oqtL3
zd#Yh`0W2s8O`I=xX2%Y$6s~mNG4g|}K+mCOQz%^%QFi478~&0iT#@B7K^`5%=#{pn
zU}NSY{C#1GtYY)C{<vd`G-NcLbt*T3($TCV@`g)ffMR`f;F%fn>44|{U;`5fw7l>)
z=H?>#q0joZb;}&-w6WMH`?fI%UEa0AGIWvTU)1llS6?9IT-owI85jenu#iG*$Rc_2
zT(9B3tR>Rbg(0C*!Gv3kBeU~`i)7jUg_}-N?D(w6g@_`U(DMVtSI8}qBR<hGEqgeS
zb-JUj^|cXvUlb5H_iBlxRrZXQ^l{?ue;>M51sZ|bp~J;}zHFGSeKWFjCpR{4%3%DN
zVnF8o14h+@Y<Op93ayjEi_Kex_kBFWfWKdOH9|7kaq63N!oClD_^Re>iTbiGTn#*0
z<KfSN2DUsm|I`TJ^@H(;Ic^!k4V%O4EPGD$`jz}({DlxUhQBs(nl}In^JkHW6BkbF
z^~wg#i{J@~i2BS820*(|(5o53jq;U4LN`mr(5Fg8ChM_2RIXX$FLH|q(}Ok2l4itl
z`l$Rh0Rw$_;&$XswkRLIoBYn&=P!ZDs}hF0O7uW-4Uh4c9Dba*5+&5!C5hVOcb6Du
zdeCaFEUWD*h*?_4w|q#XB5_gX{@PYusCtuKEublkQ4z*}e>lltx8<&ehJ(70AeUwU
z`l7hNbFBglX!z^km7zW6x<Fq|@_oE7hEs-_VO%!yxRo{U7R|2<VyDh`(tn8K4U5%&
z)EGrvurDuPJxYg*(R=o*m`Y#(LzNo8Lm8h8uiDx-MhDr@7Xg;bx%7HrsH@LC6+AWI
z7jR5m7xJi^j(2HO(LgAmp+Zm%Z_2SM_}z8k`JpE_-QP;%xOdDBgE)2cS?lU`wL%wa
zB~|{OydaAW*5&U?*fdc?PGYT)qaKVNZaiarSPuV0J4KmY(89!v0$CC4`p_1^HM2fV
z0nIj+n$=k^=dUs-vmMt5KGj6J%Uvb>R$CU=Jw!*wcatuCB||tPMbPW#l(E9UB<$=J
zJ=~C1u_3~V0U|<n*@e2Q*nb7`=GPnGl`Ui9wF*X1#SpPD4pqbVx1M*IP8(vjm-A8;
zjS2PI&yFSCQOD-?>vD2+417G5!}Zn17&Heuf83hZKn>-gQ^Qe4SRv@)c{I%gko}rP
zg`E}#`kqLl@iTEEOZ3X!DN_LP(zuf;+NeNdMhPEe;%*HK8NYNhSfQ4FPxP@4Zh6ni
z5JD!>75VHpn^^!=T*Xqkla8a&=Z3z#Vd6<kdcWvDOGw=2;yKf$i!G*e?=uRScy8m?
zY5QhtPzXt|Nv+Yt;hNtuzAPqsEbiZZ;*u>y1nz1c->#1@ztF4>rW&CX#U*(}AAl`d
zAjhFYA7e84LtbYx&|st`+;|C~p&(UbO2h!CEpFV`Z#TewE#&3!YCAYxGDloxGr-iP
z>SHysdgy$nCw7gmJ;=L<>g>3qkBWPzZ4XH4;I&*Yg6E?>6h0d@wxsG~a_-KTx&0dW
zG9yN>nBf3Na^fSNFY9YD|Gl->i&RnUPLY-0HV3HixY|bO>tcZ<<=f`pig-Ew-x0Tc
z4nSWjXzU);!CqF^ef6(0xRBV9v17XfaCOi2LcBIs&QxDI?j(VX+;3~&S~x&1N6*yF
z2~D&<UTP7UDulgT6judK+Qa##B;VcM8u*&w-m22bi88Ijd4`wmfph4^Lcl#W6#Q}`
z94co>yH6pqN*4B@W8=Epi%%6(lr$gKb_|eH97|tLHQ9lwv3u$Cc4aiF`Y~_8d`9v&
z1|2ltU<c9>Lrcm<3K+?$C`<2eC!%ZrGpBX|<f^J)q!!Td+a?*M8}uJUsZNwcbO=Dw
zY~U(^7t+}M#H8nB$q2z_Tx2}fLxAFq(9utFQh2HRZR`nRj7U7N@@)33EpV${kX?U`
zf})jgJl{|zh+|1~snyc9aHP$LdNNQ9dER}xAk05WTuibN{bpqY)%lN?QVN8yEa+Wb
zsOKahKz6E@gjhp<W?`~cKOZjIdikAKnk49EXFrk`t$=fOg8xn$H#X4!ZZ$hOK}<Wp
z<D6`_1W878>eUnuY)V@5@ObSwk@H`FKi9HP%l#3RdjIYc$v*bDMDF<*(e@xk_M*Q9
zWI0rM?fx@Iirja)oc3sxh$z|i+_%IW>RQKp79UTM+?n|~PKAGoo$bd3el41T^Ify3
zNr7=vQ~fLby5=83iv8&4NpCZde;@MXRQ4az{A<n5n@Yn(A&0?FgNH15;^o@7G%!e}
z=U-g!Wb>O?^ljO`R+a^{om~UupMKIPg0(+6ZII~j$XS$3GzD2M)A`Y?ZgRVOH+i0O
zfDkFT?Xqgv1X|{~PPU)_On!Ou)HA;P2SMFRQF-id0(o!GRE7L$Bhxc@>~CKBPP8Il
zt4*6RaJ0qdDVsNu?$2q_K2`k$H7&>e#wue_9^Ow3j*{fqm{I|sa6fU@JndBb3noOK
z>0o<ztAt!x?3q%V*+*#o?s|32nF)Vcjj3T4NyI%l?cK!sJ|bMnMslvv2%;$sW63r5
z2(yiuZLW5G#CcDxca?5N;756@zx2MA@NUBmHCy_KK%)oy8af!@b>hY0z>#Ofy@twd
z`49Std5>ngNGJmwj!Q>+q%{#~k>z5(#{EPPx0B28UqkrymqIADy&-O-ySCoy>nGTs
zy3T%-HU#Qe*jwG0Hp2echP^MIekWFETG1;U4d8aX+q0s-?ZnMzN7nkZ{~#ECCenfX
z^?@zo`d(JpN8)r4`<c_!0fJ3HKJ?*TJ&3f)`S<DPXJXeik0RZSLE=Hc1&i!qUC;_S
zCpokCD^a&HR_uV;Z-QDY!x~`dg7vkpE!py2M8MbGv7vIq1cwU)kH^xXLu)R`ZmgSV
zsa|WHZuN&)eO}2hyg>(Ym+X{{!+VJ$IgS{imcK-B{z;`MnhtF6?|_7bJ|gG9QY^p9
z7(px3`f@5t8_utx#pU1mPW%k)naar-C)&%uc078c1xdp^Rg8q6L{?+44v*C&@xZPk
zwAV-r+!uK#g%1o8S)XMKc=@M^-w~@rgmW}uY^S`sU%_ueGR$4DjdzwnwrkEd+?qh;
zFS5>^876$Ir^OYl=ZOPxj|}7YX}}pi%Gv<Ozr@uK8|j863j~dOebo0Mb$IJ?d0%G9
zDABn4#lskVHi)~a?Qkws9WF-d`9zzJ6ZH#1TEB|fK}XZ@OZlK0?AVk*G<}~SI=43^
zXSs5Mi@`;qv`96`vN<8ph*Jc2#uCQLa)Wa>b-V9^D)2k^XK=roAtJB6QTj*ag@&{H
z*w3C;h3rjF9n<*d3FixAUnf@b!ynk8{D7_sJDEy$ZHWuS%tcPEd*y;KuG&FvYF2^A
z&z;z3<=No2hcG$5Sp-}J(9LI`3S3k-V7Jd@2lpJV@`PeBcpKdIsz65t%yfkA2ikMO
ztlP}|sudL2^;mvW$WLY1pfs22Ai=%tM*=EGMJ3_JK;0+R`^s?ZTmDUb30@H2X}w^_
zLxo*O+qUMWD}!yH((^~o{2;x4JkrQO1}cS$Y?pQ`gS1QA?CS@DFw4jvdUc!z?w+2k
z-(kwoCjRm2O+OK+d~eqxt)>8HN(T-cja3FaE-31~CI)j=VtvEYN<bSt@wM=(G6YZ6
zx%CqiNbS9t+MTKbfj(-@wS&q~+d_Oc;gE#gpKaobjn!c1lQbR!PZdzm8~L3-A_bvR
zwPq@u8gNO@YlJnR0&Z%e^7XtjFtM`qp6jG0*z@`N)9$FkwuH-}o$F|DrD`mIjb8_(
z-*4bnFHrzkK&QV0@T**r|56@gRr2eStaRb=r+z5>tqym^K8C%IQUYtOw#SQU`cS;u
zKe6dQO(?Y5yp2~&1=OX)X=6VOVU6mGj1Yfqs0t41len!4=>`F<&oqr-)!+@jZP)0q
zd20uCi?cdxX60ukY+%CNKZh_bpXGW-lf}HpG@$saPq0|5F)+U$P6z}Bgekgf-?*g(
zGedb=hm%ZT(E1nGFL5Shl82|bLUmx6cj?QeU{mP!xwQA5vI$%{?)ZINSr_i*ecrf7
zlm)KWzeSpcvEZlqs)IF+dayMxZq_7<1+V3T&PDW@!-#1J^@67Xe161dUK6*Br)Zv-
zPqc!dc{?AI2Zj*5`g#6#6&Bpo;UpK0Y@w=^=c7{?1N2V6-{<FT3e|`CgkJ9ih<1&P
z=6%P2YUAx4dGaO@?YC#9{=Oafoy?*f6E%XF6Y*Ke`<c)w)Uo*TgFVDq!~|TIHG(5?
z%tiVA40tUb!1?oy1FUS!n@ApEK-brImsSMpf!9#%&+fC1ASb4^hwUT-I^D>_>PNMp
zbJE2+Ue*a7H6*7Tn>2(NjuUmc*{Tpf!F%0ss}tCS`sWJ87=W_2<mppca&RIfIecWd
z6J)DLFAWvxL9_R&43jGq=+f4@6XxOsyv#eB<#Xv!+7K3)tH%vB?cLYwrX3;X>gj}I
zq1y0_3Dqf6L&U2ffkCwtM|kVZIsZgn6NHqWe6uL;A-!yecAuGd00U274t%Kw2Ij|k
zh`M<)<kqO^e2@dQyxHFAb3g?`42#lpR&wJWK7+Bk=l1Z*$}Z<XtRk#V&GdZRD}W}+
z)b%Gc?SX35ST@d}fqHS-5-}-)tIFK=Y&~WN8MLl`mKGHhyu6AW`ovH<ugbD(9DpV6
z{Bksi0wJ%mvg4Y?ai){E@<=eiDfGH$^g$SUIXC7Fc~DSDf^_7lCLn^FbhSIk3#&vT
zGGxzDu*@V|t+(11w$QG&`;@c8FpKWCHJ^g_`PBooU)g}<-n@pZQ!_-RQDL&vF$#J<
zPm=yMXbm<k<wa47e~A0Z!lA8OD7en1T~v^24St-TIX?dPm8dlKKBj6!!K@~mrl7S}
zz&2Ub-;<Y13JKrh>tUndz+UYGpU+sro_9?4>p#AdJ63dmEc+;qEj1@g!n-VB6JgYm
zmivo5*Vkony;>ZV{^RJeWLdzq=y;(UFUH7Guc3YMcf`>eb*~=FGzV=@rM|V5(`3xm
z`*A#F;>e&5HsL=rIOOm7^}N|Xl68nuzv8txPVp)S28El!1%~VFb6qyvv}auS@q#!;
zD6V}b)x!d|KPLNUBstLHWps6n69ol1O+RM(v*7C6jZe;Zabn&%vjK}D3R(;~cvf|r
zg3^Vfe>Kl><3ri=y;l_^FzTsSUic1ENY#DuCzr*G!k((AeOCfc@Au)kJ!b+R#=9ik
z-}0g0yq}E8MoGM4aO--;853|@*epohE`Wc8*8ZodB!%vKV@iw+P2h9648OyIAU+n+
zqy{cZVW@4Ba_c)|u$bF&l)Na6ytexk>}RNGK1x$BJ8TR;HjT=NIEdo9_tLNQg=Mgw
zCp402Yz%@~ds^s+#E`32CNjZB7A-6DnYANKIPY2NX|h!u-&*Kx$T&*FsBdq?KRjT<
zIWDx>ww{7g<zd@Tj>@4#{N#G61SV)w>a%>-N#J+kSpR~(3fTGU;GB*(6YlWw_$Mv*
z!x6N8<qat%jP%HU-eJxJ`vDGy{$438I-R<BIaC?%$C|z3(PYAXHv74~1yqbl_*D4X
zLj{wZM^lTGm|)U**xRX78g*v2H&?l;;!C!0winCz5&gdj&U&(VKdf0Me4QE=rD@#F
zux7%gb%UqBoS<PvZiis9zdC;SIljCHn6Tt#$R^4mj|=Ikjao4pC>w2)`Zt>iS;0<z
zN$Cn`|FX7q__QYOn-DrJ(aVIgk9UGLDl1`=+-!H<JuN()+vxSq))=x}4<D2aR>pM;
zDfipoXk&%O`T)0k#y~mr{@pKI6>KUi;XJ;ad)PlpZi+KAfefuUF$X18Y}el{xOaw*
z2AdV?+1{JLHPTPkky8zQ-#UxAPw8S&kDH9jQB!cdq3}0<Kn?!~0096043~F2)omDu
zW$(TB-kgJDk8>YX2o({PqL(6+NVJq9QbsgTO0=v*WfXq5mXd@bvLkzwmGS!Xx&L}T
zpL<-_cWssFvQ&pA@-h|mq&XWv$5lF`ggQm6S+ZNO$kM_t_bSE+JwtHsW?A`?r-a><
zL+2_%8w=~UBnzn+!8XkoNm&<_aX_YF_D-QTMqheXQLSMNM2p|<1$z~I$^bq#gWAZo
zoAh_Y+ytiIcfI#vR>i6why8NB+89aCyKl|S6kcvNweikX#RO>$EtXVm)NxP>Iv-{R
z$<Db~LnvyvKXH23D62M_2Y3eSq?khhos)oTrW!s--}%B`PYXFMwO!mFS-=|YSHAs-
z8rDaL?}!)E#7mpch6p{O!d>5YrA|ERXxupYgtuB9|NM9_^V<esE_~#_U0mwu{&;Xy
zSXT{omx`)N3jvxRT>RtKxA7im`{op;f^_7BlG{u)*#9{#{LXbXG?z})w#-n%e;S-m
zD{N@cu<+?;qL>=qJAGhvZ;=8vNf~9RgwvqbwAQrooGQi@YA<P4%c19|zRpJ}G}xh_
zp1E4Bf*%fbsIL~wpp1Un=l6GL5Et>>Gjc>34?Q7C(l{iM`ro6-lIt{R`m50CwxWbJ
z|9L}QhA6&q`6s6tMgvyW1IO!E6p^Lh;(JB75Z<%BucYBf1GDVm5|e2KjQu@mdhHQE
zp0<9lt51{$_P_TJed&_Nj;Qv(PHMa;c=7T1D{TP5s$<W0*UDj(M1Ivnc1{#-a3YM8
z0nQ}Zup5`jVzq6r!uDgVcz3(C%WrD{Bk_gI6K*n?=T;yj9?paxqP~s?4p1Te5=~af
zSqdwJ53Xp6G2my<r|4=<g*c7G;&2}c<o9rTRb;&h1^R?l2a_ydrZ=BAHAM_tuZUQ-
z|6C_N$!p8=_L+m7qd}`{j|dhBt{9oqtr4B}N4wng%|Z8~RoMdvVYHyi2$&755H4Qf
zl!;g~AP?r5By|X)$VrcZ%wsD=TbSv|;x1FzXQ*)_CSCyDqC<LqM6D1DmSy|w4NW2K
z&BFD4p8PlxsaLGRw@Tb9wsWPVn82p&RF{xleCWN$_jVus8qr(!s-KuKh7M&{-VR@0
z6qP-eZ@z7vsFxa~({MG0?zf6LtwuaZoBO&=<QN_L9^L)qex(syCYma8+PN_Bb#JJ&
z`zAa)tMkcJ%?P~H?7kl^<-`NuoK$2z>G5i+P>)cWA!P06y<_v419y|i#@8bmuqDbf
z0=Nue;O%kO6mAZj(jUufc*BTHVb>Pxq79&4wvzp26g&PVd&IJHGo$Lvri)+c4dAnv
zm7bj%J2uAq$V-K@;34VO7S||!c*JxrTW^^S**b$5BbQlG-pAv9B)dL%=~fur_{)aR
z2LxjEZn2|<?!8?9n-pl2&;RvHj2*9yElgzFb7E9~u86S`1xmMWKl<K>9ZQX0<z~rn
zV@#m*1)<k^aCYYSuYIlTIJr+!FNc*EZ-toX>hIEnt?v)KSPSC7!X|xXE`C1DQOt;L
znbif>%V+NGByl3Q*Nap3TKu@{Z>N)0nl9WMw|=lyfD7e1i|>EgD}deu3n@+3y0F~s
zctlK!8^3WqHDA3ah|3Q2IwSKsa8}|>BF%vZ#ry&f?O7B;neo*ny5~BuzU7{?sS_`<
z6c)s|`-$N54E8UXK|0`+rpw&K$A?Ov4I=-W6-Dds@4ovQ>wt_**u|+oeE8+@8~cy9
z#j!5HW{!tL2lkhW&Fg;S$Fr@8*B<VcM5Y4_;)e&wkh*8{32MCn9-3jW>(!G+J1537
zd+W$hBG>V?vQH2jw!Xi9Nmv#S1W%k_tR#bN(5Vy$UST}EXS?uCxs5%Wza{2ZL54Va
zv;I@NL{K;Q%1Ez?Jo=^#s4RXWgHOfM<J{+>==yF^>%Er(`cpm6@cbdeeYuG`ekF12
z{J#1_{H7uf@kRck@aq8MbF%H7A_-(?i(J?Gu7vXRBRd(LbYPmpGpg1_3gyl}YflnW
zL6I#Lf0ZBWz&z)fEl+u6@XrwqCwd=Myq{+!znNDT9J-^(+k<3LHP#{4u}BRwGiR-4
zuj|4<hkrnxmmEH!MA%T4)G?i>%O+J*58R!E!|L|P<5rK1cqao*Y>!`2bLicuZympt
z;;w-7^QDgzytI(HYVg{t=M?Y~uW8z`R}mZY{El!Q*Txo4IlrcKePCiT(kR=vao^OP
zlP~Wh;jT4>p@w?~u;<X0lb!C$_}JXcrG%4=MOhtt+Flz%lQ}*!c2vP*oXP4Xj${n}
zD?QaWY6KY-NwF0aRjh5=RkQsV8Dp3FBGa`@;Qims>@gNKtccI;S2#jO_w<aW?Waw_
zH2h|^$Xhj}l{<2LGbLkPtJyBWFJ@5r;&aJ$4|TLYv@<08JqdptZH|}_u>cVsrMgYc
z>R1#Se53ibHZJ*f#T&U%f%a}h{gr|SK2R!pl;fd=g)cw9Nu&WN5A!z6Y}P<4y~hDX
zFEy}r+?-SL69D~i%bCr_8kqi5RMq{98kV!{CpgV$;3p$$^<qUGb7TalX3tfyB!M&*
zl1_uvRtiUZk~&V^tf0u9P(sq57Sa8^8@!l}3Y}e0!$<TDRh6m=*sC=rKh9$b`+hXF
z=IX0q(!b!Zf!(rrYw$JqZe>f*vGA51b5zBsk0;3dJEZWovRqiLk|kLFDQHWyRYB($
z&hv9JVrY0o<hli~C0N8Jl+kM{qxik{n!Q#+_~z7cN5df+<P>=;j&5-0;u?w+f8s;?
z?Y`xgpVJ`k8IMxSTLnCsL``xI;=)wQk^KSzH1PFv`7nJ+9t}+Xr8lUuqHyhLtsE&D
zsH$#pZQU$~hJN<^>m>|$$izAHXAJ=3+VRtYT(WpJh*09>rNgT?E-Q2d0A$O3uex0+
zg%1bfjSFm+iQ>P*Md{oC?7zfAE}oXa$H||*zIpqX*vFjfYve%%(`ucLTvstPVPAgt
z`p^tPcXKdM<E{lXjFgAGa1p^+TMkWOt|{VPz3;RBc5@I^bFE!EC4{<yZ;Iz-#)&2?
z)wN0~a|qmNEdKtz02a(Rhzq2R5=yPYXY&u5!Jces%^(AQ{Bo{FhIQ*Gv1^3&s%xGp
z)Yp2}WY+WI!BfFIx6F<b2_;81sVthnz{|qCZ=yUnIm;emer%lBwz)>d!`1}8N>w?w
zc5tFO!)8|g8<T`5!}$cU`^NAs?M<HG06VTq2ZeCRO%wJR`<Z-~j37Tb%)gh+hEl`v
zef-a72<w~6GF#n@U|(P;S712{R^_}`3Jshii~?$37rZfq;ev-(JI^qq;R)X`VW)Y*
zByM;zLBSBt)feg<J;8*Z{&8;?a9<>B|Gw?)NHhSoOONv}-)F>!+fJ(<Kfg?vU$RP$
zqcZ?aJJRmDB?go(_bmJQZiOiOywf8-R3Ew+rOLH0FksJzDn4iBb;6VMqpEX)0@qyp
zB&SFW=<}Sio971|=26T<!viQ#ky1yO$IO7)F0>OBO7wW{dMedpLJzEej!C-EGoU{A
zNipII172G=!=7?N59aw+B0-J;uL$$qWuj+7*NPpzitD=IHF(uS;vfT7drF5lB{Ac2
z?&HIX3A&)T<5%UxI|jVyU({M`#ER>IPFA^cx^VIt*AvMtjF`RPBp$ZHhIAd#>_5wO
z;JZ}e3y&d2{PlE@(Cp?w(NST~AFevU*)(~$Dwhc-jJmgp^>d+&NV#>(A{j=X#5vrJ
zXU4l?eZ_lNc+rxhI$JW63<XyG9a+~|a4>bf$ytXFxBWLJ_t%~b=fygdKb5j#Y}XCt
z?&JI@!dT{edYuGa4pXwWo7mCG{#op7tpKvQdb58%PJ$I><AaZmaUj>nZiZwFA>1W+
z$+>%48-y3L*wY!gaAscDvZ`JfpLH?qp1+_CT>7h_5^uS2HB{X0#5qx1X_u}(C#wyj
zw{kL-T{gTW?EC9<dvT0?+{Ulaqy?#l+)Nb*`0!}Q%iB}tl4z>Bi`sTu3qFXj2(Lx*
zqrs*6_`golSlBo9Ur&e@$ovy?l&uuNPE`iNXNxSR+a+pz_0@vJV~hTd{6hGpM1P&-
zq#U-r7^Nhh(t@CZ#=ZA03S(sgmF8L|k2Op!aiKX{pf1C8WQ|)C1>SsL{mQ9`UIXRb
zq!ld?u#(}HDHFr+wP%S=!AiJ9NvW$1)rN@4$;{mm8{T+xE}d~u88dqY8Xt<2Aapr1
zFxpEB!y-DZ1btPpqGiFxeUb!rWj3GtJ!R0$#IYc8S`F#@-I%wZB}18Uv~qBzEK0@q
zTq8$l;Em>7zE~+8sGSfyf2u_enX1eDv{<x|pV+?^+NlFKuZ5;QT9QYp;#voxC~f>J
znWy`+QWs#~mdE=Q6_Ik|p&T(n!X)whq<TUR&L#I`Q=OIY56e^W{M%&o<b*qS`zRpq
z<^6?WBOf()3Wsl(*TJkyZyI)}8bE%P0Cz;53L<r0Nh3iA`=qQZPhB;H*|gU4_dl!R
z&ril>tKW6dvy=GK$!ZM4CuZ?_vl?<qe=F@C)4>n+^}^fIO`z6|Gh?_$9k=vw<#aab
zV0cmG>#K%l5Vrjj%Ur4k)~0`ckQJ$ePot;xueX@P4o5R%Ntz}~DnPmP0vS`%6d!c@
zQ=!rzMAxTW6XQp`y}2o5yx&AH+zth}h%?e-|1`0oCn4rqxHd*C{i)Veq``?TnhZXS
zTIg4HD$Gqw6IV`aE+|#dV6urDA{#VuI_KTZ$7vh6?ddCx6(dXd!>OB3_SD3XZ-0(m
z{Gp5;hVfbnw=JRlMq_I6D-Eppb24~hUIAw<9e=sESVF07w^hgnXQP#~Y-_~iFsSMu
zCHk)=+`p@}^YsTcEV~+6lJ-OryRUiYmd;y3-cZ}Peu63zUmmcKf<%xSyn5nmhb0V?
zRMLYDRnY9}wW~I{{8(@<X6i(qCA^ToesM>w5)NH+y3E+biCa#1s@5E`1RnX@64Bcg
zvHP<~v~U0uhFPW_9O1VF)>|e=^uEbsV)*3cE8EtHH{w+9PcLY2XV`Xc<_<aR+M9k-
zcx0A19o-e(VZXughtXXuFJ+K+^}e8l_#kmUDsoV?7a(U?P;j_M64$;k`|_~-Al_>0
zOmzhVj6Jlr`9>1Q3nfK!&zO!8=iTYrnHT{^dll|QJr=<f^<WMrnL29!To?Bb4Jvri
zvDpvV2%)LeZOewYKdH@@D6z@e0wRKZ*GOUlxQ*fbiC_7hR8ki$;%9_8yq3-K)Dq>x
zpT4ivbF6!)49`2OB%hnXQ@6b{idVUDG3bf2W<(G5nq+2!(V!{F?|AU+AaGy@FWovN
zxtppsWAkjM;zr#po&ShEE1p)<GTnzARQ?QY0k6X*K-QgVd$e&Uz1v3kV6c^1e6+g9
z`nfTz_P_QSa$&&!Aoviy>j%}@wTI!$nh_lMRnk^yvkChtSuPk?PxW>+tSomjf<2Ba
zdgaS&#6hPqz3Rqy)PxR@Z_YCWZi>;l(vE*bMIY<VgxDf#X)|}yZ#F}C_?yKgL34@7
zjHDg$*qcHW%=$mc4KRS$bb8H8-SfmftAlsM4c`zJ7Zz-mzw1MN7f0>>@j2pkoJ_;J
z(oclPwzQEfsy>v2-a65}ZI%!**uiJh-blRPvNh&(Aq8$7CP^KhohHtSh<9J#_LI<_
zEp^?iK!L2>o$=2)rU+&KkHnY44q}T=v%kU}J$RQfL^0hoMcC=-Sa&h^68De%c6ceQ
z2bNcZhhCOU5MucUg>p*zh~Li>Q)h1K!r*O{3zWKX!ewVcu}HuGp(8z>^FdS>!XpF>
zE|`oH!#f1~b2Wzv(uucTBKLKmS%3TPh~+Wj*h1H2$l56JRJC;WyQ&U6ZP+Qck9nL}
z_-8P@J~%;qqfe<Denp1D-IkfB+{cN82k*ZsElv@}g5GhqTgb4Rze;ZR)HvZB;O=%H
zafaBRc89y}1qo(U^m8wLnjoxF$AWK}&k^Fccqe>&wIO$$vp>FPl2HA0T5W=Po(Rs9
zAh`=^!zowKq<?p&h@I6(mue;#h^WKTW7oH9fmrvL&yB;=giANMt9E6HC_lWC!kwfE
z-rK0!CC)QMmXvwNsO}1p`!%hxu|)%>;vW79_L?RBn>$n+c6*J;{@jo^pr8SFIHoLZ
zlII9%D@h)nR61l1og459Q->6*Cx>N*{t{C`yCGr|J+c|Wi~kzc;FJbOxr5IFVOw!K
z)a5DzQrMJB#B|l*qL$LPTbxUT!X+&_MPnw6ed&C@I!zV4FQ$5udY1{QgQNG~a<d?_
zfAqOLR#mXoM7HXI6{0-yzMVTS8$S8m5NB~-1;jiby*(<oPSn|3Z}Ya~Kqu;q#>%QP
zBposBAFHLqfVbbR%W}AoNsN>g9jy#KWoKMc6zNgWbJhH<5-)0AcA9-4tPIN2@obTq
z4ESj9qFv4{J}gy1?#;zYz#a0{y@|$z6>FzlBh>}4eWu+g)m;f@rREw(I9RYCtWVRc
zUl2D5a11bTE5WONFM&{cHl%htyF}CoW69(Tb<;*gc#`?<gQpq?8b4-nll>`*bAQgY
z+dNW)d^-EG&L}Q?7Eo9eFD!uqg4#a!t|<cj&VaZa&W-;KTs}1wD~0xt>1m2_icl?-
zmHsr84?p$_$ft_RqGQYJ;%yHUAx2|Xv1*+k*DI`*yJO`r?@POiT#F(Uzn!QtC=kRU
zZD}J_VFi4fvWsuOmJ*oMdT3c+5XMZU(p&FP5&g7Y><iCV0){Odo!zHJ@m9(Y5A#@M
z+<qwKO}@J_?DkVhcz917eb;LSh5S|VxLLx(byF4SIqA-GcT5s(PX=!CKctQ=a~BSi
z_Nu}riSNtn-ZD7j?{OeGR1@cKPWL7fY9ODzI1|bshdB$Qwok8XW7Ei=_>admU?O?=
zKRRD|<lnsX>Y5uFKfWw6-*;LIjK-edUhPys9-k?#^#645H}kQ(V!b3#sF^=3dr%2O
zn7a>;dg<a3w%P{%4L=MYu;eJ6R7N^qW}h5eJ#6KSi8(&03)RtY2E#9Gc*!=7_T4-b
z++6RQZ&yKqs+YV+eK^%oykGW?;bRK6TnaxMQf>gl=~tfN6%ACf<Mmvj(?_jHUL#tM
z5mf%&`r33{6Q3Nt8`Q<GkBeo#{EW(`;LNa+;-apN&lm4DuQgDxw2g79>x?-B4L3-v
z=#lVTvV7P-JqnsUQjJmnMg@Jh4%Z{ABs@hl1e`F|!+On{jWMHvf4S?2G;=bhPBycV
z{^+2{;a3aQ9F~xpX*H<jL`Io_zK@YKGFD%i4Lvhu37VB2O*zJ7+<(&VNJgb59zJQh
zbUW7yMk~|*<P4B-@X4odTn|<8E$Lbc6U7?zs5hVP*hE6Ee-`I|dn@8+l}j&#;;dm$
zkmF0AS}nBrkKbvtwk-A>Zc9iju!d^p`NkM~O|%vKu>XORC{D@S@tn=Fh93VLp{+MI
z`kh*R#%!Dy@on^`rK8sHN}hkUxkwe8?)>m$EM~+5*YfNhid)0c&c*`MVr68z9>2V$
zbcWD<Qxz3jU<Eo}BAy%%74ZVkO-g7*JoQB6k=yIqRv^L8Bi@oCk36pW=_TYzDtmRr
z{-H;fkh9P6yX`euT)Tf`Q)}Kos$Ee5U6zO?L<!Ipt!hZ&BgZSZ_yg%dbV`eLZ|sH-
zj0L1k9Tmenjo;lqd}4xwPHkm^{{U|I9!S1EB7|P)Ti+_kvVxM8zwo!?0IzttUZ*|e
zNA`E`TxK4#0mDA7Bd6P`Q1`~;cNLWf?~Qt96kTP9@`Ab@(_I#jtoo(?LpdADAJmns
znP-R9rDsn)Cd}c;o~yeby=269S~ncM*g3%SOyI|>Z02y8@mUjt1|81pv3P#_%?{lH
zy_Pd1Gq4z?2^(lE685^>H$`r<gM8^Yx!uzg?h8;_tA0)q(;TsKPmS3@COj?T!W|RP
zJnbDNn%qw~x0i%*w6TH7xsZL*-NsNx5j-1M*hpw~y{=2Xzy@L~el~0B#$Yt$`?$nA
zmpa(Ik^hX?;LyVF(X$aoFzh6<m?+UgO^uF{sAOdWiivYHXPY4uw+Y&7UFxH1Um9JU
zm}7;1JW4A1CWa8a&3aWpZItRQ5+Gx=i4A_&x0j_nFaQyW)oXOT(^O_5rjPDqHV|JN
z^JwKZ0NDv&6(y@VYV-Lehr>~9&=!2~+51R+U^suCj@@j5n*C_I_v#uOd||X;QeUP(
z=9@5!B9>*UX?)_#qYv2Ou1_B4P#6WwVq_0W7OznG>&|@`4B&v5zQ-~~m-XO1%gQ#-
zE$h@JeX|2s4|2k#lScovF6n`&-Co}PgLKf!#`_@l5*LVHxft}4R}b>0^P1h%>7jn%
z%PWmWZlI8*Y?HEe;j;QW{=^^#*imw5>Vz^caOU=@cAM(Lf!aG(YE_J|z%KBLvce0g
zikm9FwCTWhk+@w#BFqq^!`l6JL$ShQu2dzQ(}9HY<Q;tHSs>_7@|4OfKeX|@cMnq0
z0oIRMLob(DVNc+(lxSf=uz1kc{P`ytj338bKNZIg{N4>y{H{W9dCBn}OX5a8no*cV
z3Mah&#{EI~g)s2t``yZOAcG$H>7KTKT(C3N>RXq#D9HH?lx`O!g9A^|_x0aA&=r#?
z`Lb3Fs>Or)cGi$!RsUf{;XE&RRfxxbiID(b!O$aur%2$&FH^zH!w+w`EWYU+mV&NX
zQH^g@66}D0Bswzzps_xfDDsnm&ZYx*ils=9Jvx}pa9$ABq!z1w)yTqWM$L9JArj~Y
zOLMxl2|?he>imQ;If&nt_}E;H1XpBVX-n9Pz`;m2wkz@q5c1q$;O9OP+)Go=Ahn9Z
zFIap0$5#;y^2C$QZ+MQdKwXw<gg89-q(7=$r3A+_UJ0HOC4=b4hrBu#lHjB|bcR<}
z1=h8H4y6Q;!99L_X-q^KV&?46L|j#cS9*$CQmtgzS}#M=V3GyR>-W`6SJWUwSF2IR
zLkFCkD$;A&<bc&Wg`p)t1E|Y-q_|Zbs8+bJ>4>O2j0-!lMz&}|;MsGB*x%@apypx}
z8%Y6{`nEq@CTqj$S;6t1TYA9qJg$7rP7#d1j@-T$Oxo}R_r#p*6lgmR*MIve0a_k!
z7PKM5t5f7Vl6m?d`26sj=qP1SQ;{?ORYe9aX-CnzUIXyHlWjbissfwWrO0L?I?&?c
zl-#Fl1lNRF!7o!4n3TU)kJ;%!X?Sz>Y??7}j+vQe-cW;li-o_EyL2G8wEIajuPJ18
zf2wUcst#9MKEyF->%dVp<>;bBGmz$73?iv&fWXLll7BN9RHk!7C|nj0H^x`Y_F4l-
zc17Vvwq%Gc;)z|3phD;7fcyYyO<3ePw2-{fSB4VOU7<jL+5o@k&>fl}cq#Qi2Qw{b
zr|DKovC{y#Dr_t5HK9DF@$)wU4QSzPKHGhr26U3f3^{z7V5-=?KeIp;F0Lj--lVgH
zGjq}YsrNPDr|yHdj?&7&QKfsi#Mu(K@0r((E~-PT-p`);GYY`9qLwNhX9+bK+uXY4
z)S=)@d24yQEHrR@d&c|F5;(#}lxVVQF#2iuoqx6@RGw}L<IlDP`+z7(j(;j()Gk|c
zqC*5Y4kq^GUa^GcNrQV6<;uWv@L6BR83CAo+Dp&7*AkBP2l97&D}nI9u&I^;57aGo
zPdAENf<_aE+!F>xI3WMTR>F}LB*gJcd>sugOMGlk%8&>B)}v*<XXs&D;j^^oAvDO|
ze^g1ySPrCL7WH4)@{cNV^^dWG01eVHj+?nm24;&X8XEqy)N5_-LyXS=PRT#`m?k6z
z2J24Vt05y)L9%<y`euN|505TwPZo!W##b_RjJ;ItbAr_Faw?n+;)_Yr69qd)tJsCD
zKd9CYL0zUp79be*B7<*L2wqQ={*<ZsKz$_X{&QN?0(|cWsk2WDfX6{ATCl@Qs?$f+
z-*yh>kQ{20d5o7I{9T_b^fF~pf7^*hNnJLBa}ZNQ-pdP`xiNtn+8NZc*xM1q?@Yn$
zXo78fCKr5sWG12QmP=&`nl74THig(OH<ewT?4ZjT`p;&mj7mOJWwUv^3B(+V*PlDg
z3gWF&J1lbEQ*RcoNB+KR3|}Ls_ii_1h8yh0_kH5)sZKAliwY)<z)ns|<e>{A*!ygX
za_jg(t^J~+d}*r@D81v}#a&1bZ|OubgGPQ)!yGo>GkItTAuBeyg;ty3L?`ol+|wTF
zyJs$gxlD$zaO#J1JvSX};T=Cdx6(&F_$N~_-`@cG_x8lKimXw+{4$2D{0FHO9eb6<
zTJ)i|p7nTP;0pEfbZgPw$q}lr*i)GXYkgqxYb^^9`9~cpc1Y@rouG~;e4Q^Y-QZD*
z?qyN#W$MS?k`g(|Y3hC6TYH{pQy_eQ(rm=GCF-{2A9erH%~DIM>E7JR(F2qEd_&#Z
zMXD?geTbT!qh7kjWO7th56){{7QYg`NUe}D{};A6PwgzU&yvp5h35Fsw)9hr)K4Rm
zF;)Ca)c*kh0RR6Cmv=nXZxqMvJ+k+n7ngglJ?}BfE=p8LLPU~?G>{?<B7RE9h*U(;
zK=FObmc5giRYvw+KmVTB`Rh67JfHX5P>IPml}Lg`TWt^R7whC_4;v_sAKD_5zDNuV
zeIdg20Pjyzd+X$<X@-q2pX`uvxCzy9b0QF2G8;!?Hps!d!XlNl6kvL6oa*f_0!U}l
zG^|-}lI``j4<#O>1l8*GG(CR;47~IT%hBE<=i-B(bCys+x;x+d=S&39c~kjf$9|j4
zuUXKmt3d-rDYV<QM^vC><n^!I>>Y9~|B(R0Hd+v0_%Funu`+0Rjc4{t?U56tf(0Ku
zqz9En_wL<(Jh<^NGZ1|!fQ662y3~geI>9+ypMZzG<K|^1E|hS?xxYX6GBZfz(%AVv
zRDzBbQeBcC6)c|b>h;TEg~v9&v>c0ya8Zgnt2d1rmRV;N)o2cYZ)-(iy{jUKAD&g(
zo2G%vmaTG58xF{R$;ju_uK=-}SrkT2bYQ{E<y%(52{SJ@>OP%S03(qFHNgdX_(|0z
zk_X%np{b*`v4VpvgIHI1%LsvzmBqnRJaBJxtKs?+9Q=tYvwxky46|E7IbTcofNc3x
z|EC!arr8UZ!gE={uzf&-vp@i7S=t)cnQ_p=M{O@T!ww|&Hja%(A&`<9NEH~Bhq8w^
z)T2lofGc$`#P~!(F|oR3uvH#*{bhRp+~)+%7ItS9GjV8lYTR(_m4~%pjUEb0ZrHQ7
zkdaB10Ba@&Er}g@IBsxVBQl8x5{LIX1sSB^r($6JL1P@eRzEsJZ_NkPho@3TA4o&X
zmGV%(LL5-+{yG0kMgVe)7o^i<WkERqWqRi!1#mquUO6uz1R1Mt4ME*<@Sz=}QD;{K
zizr6hw}v86U+|0F?<o%KT0V-`uqi={-%it~J7U0o!21=0mm*Z|{mN#s!h?I2QDfh-
zIMmRdKD=pwhva18TWL+okmbLE=rkoEGG0A#h+73zhoftTtO$VZq$JlyNr9@>tK--F
z2=G^FxOeFk5iag<OLC1!L!^Ra|B5LQmP>@&X%k3rYnd^;+E5m>b3-1iF_Yki+TQl~
ziYheS%@n)!LJp=<()$96NKifYRUV5_2mM=ja#Hu?;rpGDuaAhTAf{B^{hx*=w6dlg
zl{>5eg$yTe;KEcP=EPELJF_;>Y72d5iBbf`GW~0*@v3mNf68@kLkHZ50fjDUO2BmO
z&*tYdszB@a4m?)$U`Dm6x#iye{`Q>aZ=WE+VYS}H<v9ZoyY=I;nV~YAofuwfksv{q
zR5xeg1%SC}6Z5xa%CN&C6gkgDgn5+)ULzYrSa%}d&HSef6Q8BeSw*XW0#S%5K+p*8
zq?xZ6^eTfQb7NT1btT}MBRv(YGJ=9!W_-pKWsnY`w&oJY0oNp6?zgEij6a*Nm8rwS
zZX|iT`-u#=`}&MkWf{Xx=V#jUok}pomM0THw?BuwRSkxn#-LbmpJgCZ5n6A1{7@7W
zfd|kwtU0*f@40EItfK%aJx=w_k9Z-@OGPE5${3CWjMj&|k_TJm&7P>I2Vilc)k@`|
zF?=yE>j_zxg^jrnJW3gKAh){mi>PZ1m#%;8`K~Sly5vJ|qu95|_gmF#e0q%Fa9bKk
z`A7k2y-O-Dcaq%ZQWAXjoDsMkl>1J|l7Qh1VXlwQvM{F!O8UteL)enM^@_em3=(kc
zFW8&Mu%=5>S#uW+fp=5<l(v^J{60))H}Y=*Q#NEtik}0h?lcf@R}+BY8#U9?VQU!8
zs81t@KS1W{i|p?tUdS3YvW)iL!fr+ySkO$7;n-HLxaT=8h->0VSK8abc$-#2Yu626
zeq_pay6pfQU<wWWb9)b)z)ar7vl~GEd*6E3X%-Mk(5t*IM1gR5IkXeX`Vf}q_0=_#
z0rF+q-*w1RAeZ96$G!G?FuM~YoBNFhd`fym-YoB7R4h6T>UVX)JI<5h+968la>Mu3
z+w9j}{dUqZ9l%VEzEwTC|KFB!ZZ?MPVokUq=j=UgXql3wwys(wXR=D4^-kWwL~aV{
z*B{b`mqUxMCOQ_#H!V(gYQ5XWoH`#$JxSC8oBSznk<lr#(Uvq@Z2J}_Dq}A9{EsHY
z@owH$7ak=?q}D{6GH+o<n_e%k8fn5<{oUMRpI&l9T<p(lXE!kk%=}PerUo1jwEV|y
zTSsoV>@mVRxPiS(t{XI`(}1{+x-qZ(1hP&$lZ95q2If8+T9@yq4&6$Q{ied-unet>
zSLSUuFp0%GL!|?1@Yty^i_4`Av%;cG4jtLRQm=|%GO$sDY}?5n7Op=r|M!(*1=lw)
zk4HC^*=tonP>D;)%6S-jJ*^sR(7S<IbY8cjH&O*+!md<(%_yck%X;m%$0o-1+vqd>
zHxh(rvyRMePhk1;EX)xyTbLOsAbi!B1kVTs2HI>>SZ3?j8Y%v5EPB*4prU~YSNqqw
zC>Un3fHiMFdh!l-D*t%b;p0U3#hjL%v^s}P!SnGiDZ7|eM8e^eQ34>3?8UE_7ckR4
z<wyMd6sS=zWh><h0p#zttbLhV#NwhQ?z!zzAaiNf9BXC*=y{u^`UEdyUHQ~1cv>pN
zrNCq0Zmt5OnO`L<*jBO8PVvWbiqvSP_-|I`ZDmNIk{^gFTf^o&OsuQ}Xix>?bkD_V
zJa8~wc6boBfl;zvEE^x9MLJuii7RY)pg5DBnQ(Rsqh0DKi4LGgH!o-jT{@!#-)|Uy
z3h~;(sOuuTC5Vh@ZL@7ku}l#Xh;*x(Nqd+Qx-qyY#Ed9-udY25Rs<fGLw48KDbP`&
zBf<Y^vZ9Bv4EH#q6+p%7BZ-Afg*e^^T;00Mj^d2}w%PCCAnF_Ev#d;Nbonyf$4?9#
zsF}X_l;}+yh#c=`){&w`vX7*+j4yB^9=7Gvb__UJkvFp3sG&p42EMku3tXrbk7@E{
z$b)cPZkt*h1G0Tv2;Y-=5P!&(f7n5JC^5~s>leX<7+3H9{pZDpzGSX4&uq%UcJY1H
zlbI~2!g+bj(p3P}0C#@$H#ul7NF1u4XG87b&V4r`h0ua-f9+t39C#f~$#g0^fIg1J
zUfJytL6<i~?`AxdgDwx{8&CN;k$qX$RybZ9S^hbuzLq2hmv%k3h5qA0-l3g$M586p
z!U-HMzCsQfex9xFBk~|=pMy!qw<QtR{7iTOy*xZ?M<282d67TmlU>pK(g=T6mqIak
zKW_{<9hp1$k-Jz%+gE}tYRB&W7r}`GEzy_f$bEvyt~dGp&3|&}thhFJ(-00as_kpW
z=tNL}<wRc~!l76z{N4O<1vqCJqS}8#44J-So|nr~M2^j+dh&`&P-a(M89phFRLi5&
z)no9;y{G?{?`J$nnPoljQ<X$(iiu~ouBsrRy>YXP@hWhim32`uRtnKZ_@0w|OF;Vm
zvJ!bi1knHD;r?=28U^2ap?*J}h`e5xNB)r{fdT_*BlD~*ioJ2K+}f3dnzS-*#U-f1
zZE&88ZI?p|4Y>*BoT}*i(nuIRQ5_yH5MKu9<B+2*Uygc;D!O_0_MY3i2GD+tel+_`
z0SQfS7#7Z{qSEAg{>f1-2>TlCZa1QczS^#KCDE!OtwP$y<S8APx}JbB(BaW_aqGH)
z4pnsfvz{7(LLaW5^gO(@gGU3gw%1kcR8iKux$t8=WXKSvDI`@WBeOT62Sx6XP$unm
zsoFz;9*!Ba89f!W<(yhccaDgD)A^HpuN#8U<f|pzWfkOq$+hklB>@e!edKXEVgwrA
z>NGD;s2~z=0HZ>U658XU^fRF_1{qCd%>AD-I^=KG9H@aq-#<BY`$ro?dw;ppo|-ah
zE6N>w93q3hQ!zW#ju}Iqr^KyzA|5$#@Oz1Wl0ZMA`pXx&P2ihBxT@uhA`17vlG7<B
zj9C1OAL<L4fY@LzTbZ8%YQ7&C-(k*!{ylI{VBR(c!HWxjCTrzU-E`KOM|d_AD7Ky?
zS8fa?hw8g8QOcq7-3<;32dUA}#e!*SkNtl2^Iiq=GAM%2py~bi5+-X+lh3|s1aBUY
zdRfe+5O1;fWB%+m>~_Ajg?fY$q*N8GBwUa{er!DQ?JC3M{#WDe_o(*sm&v)>R8tHI
zS~gU2jxCUd#PZy5VTM3?qouLDR0t6a!?#UrH^|cBWm_6s08Ne0B`<jMqlWTv+qAM>
zGTpdS;nGzAt{@64AsZg_IHrfDMUN7`ByHTRS|WqWUAE-Gi=2qdCtIiM5*1MB(~1r3
z7=VuPwIdAi?C4U64rjS2HFN}WV6q$rkeDH`#aPCKCjP91QF>AXvxYfo6|WCNoGIbI
zj?*D=Yi4zl2Q_eCoupK^(}M^i!-rrODr8hf{ZgAi4H?$P!S`?Lf^uBW@P~{Y3|H8l
z-O@(|f$khxAzyTWCZw{K(P#~e`IY=)FMtY!^z;mZwzOgFu}Wa;;|1))7Tb*?dMZe&
zpbuU&(uU9~mz^=1zt}yzC?_eM5=4y}PI|^`!KwS7H4w!x7SPs}nQ2G~cdkZ<pPbNy
z!D}8JzN0PJ(^uz$yp}1T%J4r$M?+0Gqxj)aKy@<qweaA7v0o_QL3_bRmMjhE6707g
zzFb3Y*1NaJ{EPzdLiw!13>skP`)Z}8rknh<#OpBgV+vTL)O~9lpbim>eaFJmhsg|;
z6?~F86z~%2oy<qoK)0ygy3T8y{4ulSYiK70bhy>8Z9Awz*oRtk(XPMbnS#A)HVI1L
zE)cWPY*U3hT*xqeeU|*+I&nAc0VRz6`Dpm_uqsIMI^f0^=gE`&Z8dY;R1ibyu-ni|
zg8%%Y*gLxy$-3<9$sOfXK;q9$+_EP@-;lKOR^c-Fvk*B}{Vp}68W<Iw86m=*HxifL
zM6Qyb*bv?*UZw$uiPiK~KO$KCiVrG1y-vROD(@CWI4#ty2n8c5BCz8!CejQy$yx88
zm*^JJf%N&RM|H^r!0TEv+)~>nH;h$%e8t27+~2;-OQ;ioOkfYP)88e7m{p_W14dX_
z|NNxkwF*od-|t=|P{7nAY4@WBGt}Id9t&7hhS`z<h4p>!UHh?n%9EWH9;7eyJvUK?
z)~SxzC-<qq`cO%~A3r-BKl<08CIb&5roQ_mOARhmW#mV14#4P$ApLE6Jp64xW@utS
z3pv&LoOj1KV49;qB|bz6WIeCEHUCBjqOJ8U?0Q^aO!e|a*P0^m&-i(cx-o#)Kq!M&
zF*mHVYMZ#-R)mlQ#c$>~CJ^cUsVZZ|3r~l0j3Px8;dGTqQY$wLuq?eXXJq7uE1PNY
zRkaGxuMtr?j$?!B)WU<@GXn6OiS^auZ3Q^3ZYN8paR3^Atz9~^CIoF2I9pY_eU2}5
z<M#IBfRQ^9?7d2&@LhTS1ih{TG*F(vO?>BsVp;X`jHcosaihu6VZYAz;6<_~i5s5%
zy_musD*=|et8}3!_IcpfnP_T^2ND)_rpl)!p#rZ`YLlb@y%%P0S9$XRYpe2+PcG8%
zRU>6hdP4!~zkf9^(hvXwo<N}aD+BqL>K?R4D#E)*YRy?vLJ+|x{iP*R4&3rt&SV-Y
zfx+S7#8ILMbUzhjl~cumvQp@Aa}pkm*OJqjT*Y8%ra9!x%)Ym$oboSqR)z~6Cme@*
z#Nke8F>^}368!f*pK-EY1^AzQZTrG138t|X9n;>*ARJxwTBm{l7sW)Rgl(iCLBDmr
zmyH0DvJ7%!<wP(HHIS1^m4;e&a|`=^0xWJ>(mRckVB~kk#Nw<BY#FG`y-gy5@kVc5
z3Q-M2G8G2mKn~W7Mk6!SN#Oq~?K(@YI;aOXmUqX<1FPAo7|nMiIOQ8@IR~0>(%F9|
zs2K<M_^M6ycSvATZM;m})Pf0C3uEEU{dYQwXPV?vg_R%F$7O%$0PoX}Z}aGt;PwHB
zD|s^{C}OadyYyNQMqDSw@@AFb7}39u7(s%3;sYayHh{Djboz~1cqkk&HP>k;!l5&^
z<v~gS0yN8e@uJE=zI6m0A0)uU(c28Gw1%KEx28#XN*Q{7|M3hzp#uJqT+Q_LhEV+L
zUiLv7W%ym-eCFB%C3uIkdbN7d2(l#y6;=1}uq0UP(&>i-uU~HxA1@jK=iquqj3*ux
zMTg&#q-DX5SDc(@V+>waMZ=6SO7MP1)}p#j66{!)9+>avro<<WWx60m$X6&m_-0)c
z4kgQcPJd<$4lIr)Oo|F%dB#U7pqL-NAKP{PeBT)Ev=sYreUgVqaVAG)W;mhB`1ACF
z)4o?mvZN17$N^Jf$Fa&VW{3^bt-8XypVz4i;kqF*pk^}96m*jc-rs+yn)THPcpaj@
zovD!mC1)G)xDPAjaA6LeR68T^*$X@t!zl@tT9xmkh`-5aHR(2Xej9@6uOYt=9^&8?
zi!H2Od54jIe~5YQV+f@lGlxGv6andfFD^**j$l^46}Dvy0Hvqhx0C_|!Qfm+PsP_+
z>{(^jt%tz?Zar+1q$obf@Ixi>xFt+uGrb~bhYZ`>OH(Bc+^|V+-S5M@ioMQolRw8n
z1{d94uLs7Qu)>%fCiiCz`}XAROpT%e$h=b+bRK1g8tpN?n!a@`-=#S`##$eYFI<%g
ze9a7#?+PAyNN!+)M(l0$!Fuqy#hBl=n;s(LaIwbI>sY|EAN{0Px^OMevC!Ou23+WR
z6;)5IW1mxB`1cO$fMV@lK&%ZVEW2-u9En-ORDN7x%n{dt=9g|k@=`nG<T-Zg`qWiS
z{3yGerl&SMYE>?7Gg>Ei$bJ>5NLj(mylkK1K4^iu_qFWlg(b2;WbQrc<Ynx5mEV{E
zy%xv?S>~RToF`icih2A_U&6d`$s2htn$XAmIa)L3FIh{G{01vo#9k-fS$R;d0T0;>
zE2&?Mk~bx-@P&UDu;MhOcNfJq;Af_EuJNyaau^lM+=9je<|Ax!n<H8s8f?`CPUUxy
z9nSlixxSdkZoR0^)?QYFXW9y|EmBLCRuQYKBg|uy?>UbYyQ@K_cjDiB{_n}|&-D{r
z(H!O?e5&8(rz+gYjXC-+C<BXY=1b9ZpTh*MNzMGVRRxb1rLj4d7`ExoP3><zhn?I`
zPe0X6g2yqOR7ju!Q;19m=e{wAWn`x<MjR$VyGuK-U{4!HgI~1dnxDhYX<(#7`*(Rw
z-K5CZyc;{0TasI0H;)asDJ0%MNrcsAjjSsneb_GRu;1~{d90`E^@!FO0jPNfS9-4v
zVi~6scvXTIFgd*+2lXx!fZM*gs7_@BlauF@o6}#!wxT~OL{Jleu{XV!Pk0nNYdKUA
zwZCr%MT4A|RaD^YA*w<)rg5wz`0<jy?lLxLR&hefMHzx{#Z|KulbD_`J;&F;6-*`L
z$eYAOJoGBZxTMqn#g2|x%dz*aVrx6^Dg;}VASj?~r9*ledn!|JQS7;nUE5uWeb1o;
zVgJ~Uinz>T5etc($+DZ69>vh%qbC*N?uDJZ4CQkeqtUG)!oGJ?Q0rLkyi|Z2OKkxu
zk_*_)`2i&#*u~fk)Aq_Xad0~69h+|0BKCZ&?BJL!1uB1*cOlIV2UotwcTcY^VJy8l
z?u9QXQGv$!vTq;c!R8+AhFjbUc3H{su|GdGlAvo)J1Qg(ls?GyvDF&pLp8>7s+a~P
z4rdfcN6UfKFOjL&gbgg{U1QEdFdg!e35s~XEeoZ8_Rc98ZedlT?eSvX3`i(7VOaU9
zEC~CbxxW&z&y5_Ob@*5&)M#3&esfC(?z6wWd2nkFvx^alZv4Z7LirtqweHG*O%@?y
z+<_8#pK|cw4r516qgCg`g=JvHzWIWE2NhbgV39CZ<UsKHote}ZX-N80J7u=-`OiGO
zTW*(eqEZ`y_Ol++FmPe+*)d%@B$p;{=X;48DO_>+OBR-f<J=h>M^zY*WJ~EwQyX3+
z@H~CqV?+u@-<(c!KgNXO^l6K(IP)V>LuQ@cPf|cH(ylX`$AU!ub2D;F5kz4ps+}p*
zr6BBEduFsgJNo>UvB{fN1a-+Bb+1a50<nw96u0O&Q1N@)2k$<Kp()-|cODf>!E=h>
z#`H&=h*!dLdd*4#as9R!_M4Of*=YBb$9mj|J&P?qrC$<p@0F;@=u3loUDe6Y?7WCS
z`-N`pz87~iJAG6wlLj8r4o-`iAFasCup2qZqUj-e=LL5e7!0la`-dQiMrDnPn?N3k
zQYYlzH<1O~TTk-1B81Tt`}>nkCJIQ9rki%-j2v{&3WaL#iK1Xerz8ERm5?y^7thh}
z^6)w}u6U$F9MK~VfBR@<B%R1E=Mta*azo#qx9LeD#a&0Q8Ak%@UODwM^12dGF!*AZ
zOQeuPTF`N~OGNa2HScG~s4~!r2JxgC%b@zMFpGc?5^_k94aoXQfNa%=*FXQ1MGRIS
z!UTO)k(WnTBX=+fSWjtt-3ydQ{(atD_sD8UNhz|;*+LB(gbklEuqdGQRh>uIN7ay%
zVVq}`jRpiP2htr&QbgZ2?a$9zsH1e(h<}T>wZLs?^i~V~zR#PMomcTvM-liGe#f6W
zaOw8oh5N^pQ9q0SpreX9ih9AWwrZ#kx#l?%Jw7T(`fc!W`lo6rx+%di=?xjqnYBN8
zCP6?!b42dh=c<UeK%+c(7a%)QckshG0xA=DWT0<KLNjJIEd>XRz_B;vjD0u(N&I~5
zgij%$Xhb%8zVE+Bn+#8%_939EsW0nH4tNyx>6dXyl`&k)eOlWgOF$ZaiCtR4IK(te
z=CQFifhp;ma^hYp$V!{gz41vJJ>@cKwJ9=zPuaCq)_7%v$-JSpJ0XtfuDbm`_tOLf
z2!rFouawY<Q1dLK6Z}Xxz|c3j#RQ7Zmi{A6D4?DM&w%hZ2heo8Zhc^i34H%f9ra;V
z9&H{wJL^zDjn>O#DtAmwz+XV?*nz*Ys5AWRE>z56yw9S>b32Ver1aA4$`5H2cVV5_
z{k4fqlM<?b{irb<PIrD0moJGf6diE77P~|)FS9fZuQmcU0wq6dk~p$ICz9x}wnq+X
z_pAv}HG)slKP_t|MbHU$^_s8(8VG&a-S;WO5EwspJubEoKxEw~+hjooz^Cd+c^xo>
zbafkZySF^(-EMd?A%qDAMlSm$-T}CrWUhYKh7$!w=1(+JvcTtM>Q_VCWU#96_qM#q
zhE|6?jC;pepw`r)P;lRi7Z1OwRI6k_jzRMHAS+f_ILBfl#$*8Xp)+lLsnkg0f>pHu
zS3s!0iW4ggq-fM<Na+K#O`Fq9?_jgX>TQk@_q`@nwrJZ-4=84`uz&YgFeY<c&+}0h
zi0`rd>=B|17a6;2SJ-B-x0mfADWh0`^N*Jq<p&+uc%vm<tu}y#Q?Kth%dx-}`+E1y
zHElStMEU7(*as~9nF0<vm?1FxRnbEeZSd}mY&!4XN^ZL@OBMc@88X^%M5bgdXgNsC
z@0=JRH;0+4wD>T?Vot-Ufn`mw7PdQMnlVLokd%KzbY}(|SzVrc4w_JIKlt~G$pZPs
zPkK7HeXg7MMdg``G=Pp?_LkPjGI>i}@{$5#h9!otsgo)i;L4QADyp$g)_nRiCtaQe
z=GA7bSaQ^1vrF>i2iq<3jl3Faw=xz8{a_dNS4<szllhn~8t#(qS&UN}f>;5kc2&$R
zLk$K8j3R$VQ^4SnhAmnbHsC93ZuXH?gL^+5iZ>@H;o{7gpiUq=EEUm-(G;n|H!3A>
zcc6x+-FTxPjt3yMI9XlCSQYfV@ufS-G!PT5<3i%$fcG5aZd@M;Ci}Fl9oA_flr_+t
zagqbfSY=zcgGdmS7w_}gg&x+0B>IHfIf2pnV*RuL3A{GCgk(AypfRy8%(90I%H^Hh
z$(2NqE*Vz1e3A(m-q*d4S>p!Re;-S21BkGGF#4165;G`laEts=<ppB1s8pN+5$qp5
zUF6SUg|ZSK2k#g@$acy;eDf~>lG;Ywj$CGk6Uh%MrD+8q_-}T6@jC)=QgtPB6&`?A
z>JSa#R6)3FBXwaioB)p9d|X2xIe=rluSxruFf4sol$kn301wys0s0nBm@yTz(ohry
zno4>1d@=!^sLx$k+2VpYY7JrF6bE|+d=wA}AXIWccTt}Qp2{(8#)wIPi)2Y;Kb`=7
zmz+OIC-H(P@A*&zeM#uqJipbaO@MM=<Lppcez2y$*O%ul1%FO&)|VY8z?(pwbMGGt
zfKiuY{>PWn5P0lGqwsA4T=Cx<<x>)ZheyifvgTyq0`JzBib?`>oUbZ=J}L}qd5o)D
zMsi>$@aX7e0V33WiuK7Y5(NvM*XzD%@*sC=DTzIb2r9zA2bL_w;ZkeN?(=;v*`f~=
zb!8@j#a?H4mYD=#-Uc}bjw?bskzau^j|7(zG<&+OCE@C;CJMTjO5nZYS#|oHDl}1T
zxrUsS0;}#T@>j?4Fp6@X85yVnyLGxtyO%UHSasvXnN$Gc*UV-}>cFNxXmI1I41CL3
za%-U>z^d*+(;{OH_#XfO|Njh^cR1E>6vpkHy|>riuf4su9idQKRzpZ4QK6-bii9Xh
zi)@OD$S>b-N-{!85|yGdvdO6U`S-cbxvulv&v`!QKFuqpV_tDe*yhY3>wkcXv@6c3
zod=CTfAtEjI8hm4b5_QJ)l`IZ#%$KFG)95%LzdsiRUlgA(zv0Y3bn*y>J}DL*d%R_
z+wP+ZFAmC9-j7r;4ovnd2AaWdzvIqZifV{Vt=N9Jl!~eFo12w7%n@d4RF=}FhUGw_
zh|86VVLBK0Te_BzP}^~p=AsVk2{DnjGurU&3Z-(Kr(xyZtX_1kI%GJFY?8UPP(^n%
ze$!syaZfo__?0@e`c%U&J7}Q5@{%3%9B?;h#eY+sIwXZevrn6<LFe9hN<yd=JUiz0
za>l5`{@L!C%L~ewHVHeB)nx_R!uS4ZR(0IF_d+Z-O%Wp*$qN$F))-v+8XCD*4Z>#D
z#;X$YNKv{lsOf5r>GV4Z#Tlx&eV9RZLy0VE%y3tJuQg8454~Nvp@M3W*IKu)OM<W+
zJ{7df8qF4d8;28=vC=Sb%vwzpH;+^>JFd6Jy}LXgBRrKbCA6woEi4GHpsiuK64vMu
zNU0tcP{bb2_7?-8yx^aGG?Vw)3bC=*Zuz~G$LDx0ZMPT>3`ABaoXfC+*OP<B@evd_
zyc(R%Wn{+W$Kb+Uu)-?^hC}WOa^Syx*Tf^74waop3V#m)+57v)e^klf{38Qbhr>&>
z^%vI7m&O5Iit9P|m`H(s%<1Xi#aY^l{rLkY<N*JdpMDSZiX-{ut97RYCTPkpZuHSb
z(=e`AKb4RpimeL%h0YN_X=5?b^Su?8XyqHu?1>YGG9&LvsUP2HUuvndn@22A<1tdq
zo+${P;<Sz5ga&BFTR)zyQ?S5089Q&4c7FJbI0(N8{X~1J%XoKuk2%D;)TTF3`7q|q
zH95ogiMBhL-zU1z43Ud$6;~s9U{_poPvYihnzt?G=c7qeJPmuy(EEW49D)x%O@0`l
z8KkhiZ!|Z>;bS*TcoI2qG%|2#;NLe|*E4ECO^OLxm0KD8j<aFq@pAV-&Uf17^M(uY
z-;FWCdu;QyM=aP_-M2JweV9f&xn5Ah${4niS9AQ;nQ`oequ1n*G1_GX-%Y-Ej4;}7
z{ywyy5sGQWlL4WVw7|HO8Y31XEcMB@$3ADkMxVTvYnjtDufM)Y=R*zgL^-N4yPqEa
zM2K##3$wKDZQ~tgpA7KV&YPJ|fgX7?p>mfm&(r)Jv^N`XG(h&8#L@Lv=)fo~{Fwj2
z0<B?*)$u^1KHevPG}%j~LxcZ9+_fJ|w2Cd6cVE%;(YIGZ*80mTtwDn2y_Viz+Kou3
zK<j!vY(IUrVO!oR%{e|it~`5%7R5RH<t_AZEH(6tQt>KHGBRt~J(UitVHLwin{;up
z>P>Ro_$p0+c_=Jzh#oh0wmIp$>*9e=cq_dT9c=r>|KvL}!b|(C7VlRb9Ek68j?AD#
zn?+B-Vha;I?reM@7NLXCyvgRP-1OK|>K7Whn+2+Vu|@uzIxs5hR5i(`hyI1Lk=nv+
zNONn9<t?PbuY==s%r*wF-1yJ>&<Hyuk6+qPbD(11?Y)OORTxpxVt1qN3nx5-n{8}9
zXd_@~&(q(+Ot6=n4|?%;9e!5$$qlJ%V_7$1a6z6K8lD#MrW9V#IW4%)oYz9YxuP~j
zHx`_3O?h?Ln-A_SWjfNcn&|4M-z<8Y6~@hX8FU`-qvK7{4f8-v6bl+3DdA_wOI!DS
zg%m-Y+28rrc~k@6FZ+M~UBZE7jn~Pdl|p!QC4lo(v<8ZuTS7d7xo~uMCS8lK2u^&{
z`)ww!fguHJs|}vqh^gweU!saZN!o8&qg5TxtR**WFye(-*@}Owk_0qOy>;v^se`hU
z@;z}UANYOVRvX$#!RT`BU`wDnsIKhR?$`KnK8NG__e2?RH*0I{+M$mAbWF?62;h3V
zhc(+DSuA!bn)3yy<BBkwrgwl4e!p7ZrsP0@2CJ5_d%8OO=+ZyBEeqq3_z^L+B6++j
zOE2dhP)D&}Bq>xTivHZ4ySGaz!ad9*BY(37iY{DQ7j{A%6YqaBndK|t!qQ;w(3}Q7
zOeJ|#ACv_3gz_6d3l+Te>1<tWT+=P{v~}JoX(+lJp3wZJiW;}Oyl$_x@Z-;)pXpm=
zk$b^9H!DRQZojmz8nIDP{`pvP#u{*(uS@FxGSft$sanyd7AmF_3sluBDA;5F?`7Io
zEri&{$ZWc=gM{mR?IXYBQLsybKhl(nEukF;SZj4*t);4WhN=kK-nTz<=cqU*#Ox9>
ztOo|Y4$tBvO8DoI@|rnI2Z!Dqo`Hn{KBR7QV}7Cxo6x%%mn3yD6&fs8P-Teg8Zmp-
z=2YO!iv6uox>zk<TzuhT3_1qa{&FcbaI)n$>@Cy<UG5f{6RRdrt{Ix&tfda|Gt&z_
zH*_&H)XIwnGaS3~Tx74527YtabzrM57WZ6@QBJaeAV0>rziD7<{NWGnP8}rc$aigX
zp<%kCE|w`m6QiQ4Q~qo^I5QcR?Q;V7A?(D-)usup-2O^eMk<8HR=v+yTj6+WzT}-D
zO~mRw>(x!w#FvElCkH02U>BF}9Q{NSMe<*~sv6XgIw17%!bxki-1t@c-B}Y@w#tpD
zQHIIrj`5)}YgEb|^cuUN0gL{K`<GJ`@F%+A$RPt8v^~C;sQo}4*MuKL?AtAezV;XI
z)OOlns#vV<YN{H-y_Nrdxgm*PSBB@l``93^#pC!hD^=9-Zh7#sTNs^@<kGy24Lax9
zoP9c!QDPi%pgDyPFpTuC<hFtTR%_-Y8znR~bnpb#v!g+A?)T(#Yus;P{Af_5faFS}
z3$OF&A<6VdCo|9*2XyaTxXmJurx%N~uil!c$^U#%qEBxPS?LgxIY16v*W_8a-wn|&
z7CrXsPO}0}l3Ce{+cLnLlys|r$F!qr%D>)9S>YXjW%1KgN!W4q(EJCxiFSQv!Ja~3
z_DNJpet{UyxW8;n+W4I~3C5Bkoi+Ve0u-x<g|R<*xn`p37qR--d`s`z96ae<RrPy^
zAar<aDQxeih*Ienk2<bc;_`Z$+Qn5qaPe2)rfi%co?L$w@wLVR6+ey-$lc??!-$vH
zYUyW*&ll!TRev>yBwOK*$Im#Cc}u5+Pkfdz$tq?@=QD?Af4FObAsgh<JL9$!GsKW(
z?m+l@GdRxmG;U^N#)5|IT?zgf;-Yd`jz)qhm`r;2=<2M^or*V)zG_SpPeQHlM75Z}
zB3hM4)pM0Lcb2bXTw#h3Q4g176EeZQPQ`=tUzTa#Zp$)F2u%>2kt$ct_#0!2e`Q1a
z<Zs#*O5KUNo-rbbgSI2H&Ilnn4&66nW@)Q;ojmh$M~HC?$1BsqM%ZL1GCLDFMRRD(
ziEoYjNmy~Ud~-c&hyi1_w66RyT0+;?TKRL|i48Aw8iM-`aHQS4h~)lByEL1=V)Jm2
z5NFVgS!Zv6#S1NsEc}DCDI(QRmE#)`89$V{`cNO6Z1?Z-G5JD!6MXPVSIPiEae1I2
zprjA$DyfK{roA+!_I$_Gv!4k*mOI+gIeOT){(X8N`#V}wQ;yhzZ9mcd{!#g|kRD7f
zUzAPb>!2;_SYLJX{YV5^hHE8U)`e>8p1EdP6D_D@qDHOb0|9~kvUdb^ae3QPT2&ZH
zvoO(Ryp-BQR4p%gYhBYpLxbm_#?m9&=y*l7->vsVlCN76znl&f+7A3$qRXe5nu|JS
zEp!tn9+pn(mr+rpRZ#IE{V>f^M*UAjW;dbUZQOT!jayTlvgeCkbBH!m>8{(6-Gq0h
z@s+}>+Mv4FYf5UC6ZWMCUpTGBFCEfWTTg0X`@cS~kmxERwYt;WWTu;lDLu*lU_uiw
zuXMc#{9Z@gt@$w1bKyNP{QTp&rxZ=Bh&NO{|4R}<&YE9oK0SmhNq^1OO9Rf4&rI)+
zJ|~{<DsrG5_&~gLNV-qCt_~?jB6v&7OM?2c-@&J<m*A<|S)>0&4c*6<G(wA-397+#
z^`L1VkrH;1d%KDn1e+e7>`ZMVen+J)_OA33rxQeuhaOP{>-r;1cT+luya$hS1ev}N
zVW+>)wl}NbPg^vbo97!MQ%2{OMBxCT+h{GmB&!0I^%e7XmfsRw6=p17roIx&7AO4l
zPAKC=$~uPV+IK|OnOJqE-GfB&QmM$qCnX$=@Ax5=^`5w#`SbCEe?!Fm%tTSXHI9Tk
z6wfbQ|3KVsTqls;^n;MRy450~Oc4=HdJoE5J`&rTy;9#kA11WS1aeHo6_Is1$l5^d
z6S1weLEU&^lu)r&>kvy;z<e>-$H*^)RjT%HrGRllH=k#dD1!oWc6og6a{5Z7Bo7yT
z;F=;<YkhyJ9+yW0pGDqS&o`n`cZvJmg=u1R-yS1}WeSe$bntzZG(@;qd^qN*GfOZY
zY}*%doPtoQ!1td0KZtqeFsnSKc_Nwq%gjv%3Vyt}-MtVsOeiyX7RRtJ5dVAzDu<Hg
zaJsroKCXV05V`BRUEOYpxXO5kccX+Hu0#ht+GjaVXl!~Sc;)FIg6FP()<U@~Jmr_9
z1nH)Tq^37l?4wo)^ZmPCGuX-E&Gp?zvGLPHU$B}jLC}#a#PW>oGZ_d*&bCGA%@VRt
zem#^wz(8KnYxzxOkijT*rYnehp4jLS!DnsHL|WKaghaSV!*58?)<9x`Xx*R_L+`;t
z1~P3-AIXyf)A7HfHoi*)6k?;BuCkGPqYSs+Ws$;Li}C+14*Vgu4Sk@T7Uv}Q)r5|&
z9Fas_+f+bd{tDqWRy1(;>pIeF>d{!yZwZXO_SyIIBOMvX_99j`nwLCwhNrJKQ37`t
zSb}1b8OV#h&7Mmd{G^gii)WLD1R}Mr3=Rh~k>z29%7@npl0kjVuUCh~A#XW#?bitw
z@=2Mt(03VOGLE{z-H8;(*WC9+Q4<^4^10KbFHn>W*(|Ah;ITL!{^P!#=gLV|9@*E(
zFfLAVN^SY5|4tnD=jpPaiE@+Y+agprE2YS`gh9IsDG8is+-D|vg_m?!^)~&_OO||e
z#;MXbM*@tNmumlW;3wt7T{v`@DWul#NBfWNkc80ecE>~oLGrSS++<RhJeg2)QblI3
z6e=#9Jp535tv>lWlde~a<d^1~aurR|xMj7=$o_yR>Bju-g4lOua<J0**qoCrb_rEp
z``j;1cI|l|FQBYOQh59Wm=DR}-sFB-*jXuZG?qgsJxPP?6E^+&V}Jsi`tAA=R9Vu#
zESqP5OPicvxcBc|fdWR)3a#^gB1h7+j|(%tp_1QTbLn1bS3-1U?trq7Jo#y?CVy30
zm)vQ3|HxZ^RUA>-{y|4fkxXbRVvGvVBlTk+-j_V40oIp3obo@F$Y$!yVDn9VGBt8l
z{S+$|>yE1>TzaNLUf#{o9a(KazHrpz9T3sQGb>ikyjyBykIAhfpBsjx{Y$y@a|iTM
z!lZX_G*W}St{xD71V-dp<)a3sbVfLCxL3r(P>ZagHuCW&8<Coff4C=_Opqt!(i+pL
zP3n|4n+=B;kzIk^!E6uAaa3r5)#w_P{MD^@D!0dwEbobJ@+hETQ)mYNcLg2Nock(&
z{xbuz`O?uFDK=J^{+#x;^o-70U!p5oQ=hcf-YDB~%^JG{*WCyx)gkrGoO*SXb;;d@
zs)t@Q+Tc1xNzO4_hfJ^yEtR{VO&%(V97(OU1*f0@*C`hrQu1t}#YZPK($Q}*DK^*+
zuadoP#=oSJuU<{rj&v)K_h;RvHuTtGY`#2;or6juo7epJfHYa^wP|JBirt!DYo>3q
z)FL<cS`DS&6C^9|lVXBD?eL9azbRElgFJO2p6~rP7LtSYeDKNZcKBIXaiOwBm86Dm
z6Z|eWMvN!gMuaKbVf2iwSM+9OGNm}2mFLeWt-H<g(%cnW?7mQ>(%GRv9#s97xbrbR
z&Oc&KVw$&s?@+3Ux(kJrFI_S8a^*nY#g9!*PBsYJCbd=Qkqjviyjnc9mlyHJH|}@5
zWep3i=-0RDCCJ3S$@KoG{P?TCaQ57S6~ZZ1F)eArB%i?it;(H(2$#C!SMO;B%`3L{
z5(oK7@rB$V!e0m}8zcYL)dMA2%VV32){&o<SyOmdh49%W<okLmK-Upm^23OQOm-mb
zi|y9@q=A|0geMI?r{vyGSFaL&Y#(mMxC<lYK{NepUrRXD1o|x*&Jjl<)&(@02xEQo
zmcq#>3xpPY^4<JokjO5XIDLmx7}wUFbQ;Jr$L$N(JkRdUCC=D6(Td**p_8)FR<7R+
z?rusZmMfoW8rSu#(ryYt#Y$4aNzM%EN0)rF11D&FIR|YYhY6wO4PCuRxG73Xe}_a4
z&C{IgLSN-<5(0}fOZef}CJ4Hn!_YSThxW^$g2~ld2yQ~V`Xh8r@GhHZh%2Lmki?73
z>h(gf(~vavyKRga(MMh_ii|MYSiA1Wnm%QEn}zd)jWMw4)?(Ry=C!=5g#C3PxR$m!
zc4ipCUhQjWe;g}L^SxhuH6nz}bAdD0#f{)T#k$4n1Ur7LQ^;Ui(}#B?prNPG5MIox
zrSx8$;AWznc7G>~keP=)q2`9@y=%GSyvjPrrLiS`2@}E84rk544+aRi>fDnt!VQL%
zai3acQH*tn<bRAYfZH>ly*J%?vF&h8`};*vZ2$cvXI{wwyCuVWPE+~7?r|hmVn_^&
zGh>U(z4~DHzp;0Wmmf3rUl+EHh(nHImqN?b$G=U3EkeKf;TaP6-HuHX>+C#Q)wb(H
zyy(BmrLO|WO0QRog%r{~qv8zL{2tejoz`343xYp)GU-H`G)`$<s-O6)hvp7z-?Fv$
z3#jPTi&~b!a_R0()1UN^^D^Ic{byn1x~%6gd@2hoC2P&`W<5xc@H{Y>6T#TgX6fZb
zIV@j4EPv;j9y*D~We^dA(aTe1x4bCOX`#L8ZPbI9cDVecgE)fHy1Exl<Pob?eBoe^
z9*o=vxuX&!kow#^J6>7=0V4|E%op@<{j2A%`nQt!kJWm{pG^^swTEIUYxP@MU5K>Q
zkcLwjuZHuyA{?X-uFmb%2lw4e<IL$YU}1H*81_vGtOvUTjy}={;VWn55i5%qcCF_V
z+mt~O6R~s=GQex;M4Eu59G14t)Bd}!0-3D%k<mm0@P~}3E&r2)+LKk2%0yK#oiTWL
zmdg;o>Su;S2nyJn1}e{QR737<O6Pp8A!a4HlTV$Nhgf}j?mv2Ua4t1^RXG_!<gH5i
zsHFm8pPjFYzNU_WzSHH88H}+<$FD$iQ32_BdyabWYM`)h$0xsLV^E4*AE*>7qR7Wx
z@}HjuuDB?!MCO>_`9rt%f38ZXJXCaeM}h`^JW;wK9A%2GVU`K^A4>Sy_WC04aSaSN
z8+wpC%}^^dp3)txjNyz(t1p%sNbRXA^MN@6ZVdC-_bVd;M=s8{sUvs0$jd;A1-d@D
z1?1?f;PF-m7h@%L%sMf~bN#bGwkpY_9j=1H(sJKJ&T5#v$Z^uY)e@;CBY!`ntH6q6
zxa(u1ib03(ck0g3FmcCKUouk#0h*@z*LhX2W5X!-Zc%`8N6yszm<qZJI%{^-t@+Lg
z*YOEoz~8!U$<<s1HX+-`)SVTfGM{kv&NYB!^>MTMri|8m;vU9r@^Fs(CzbgEDA?TD
z)4p~u<866U40aR*t|O*`1^~}*e~yRrDWU4PoeV+9!i?^8hSfMwX74wvrLP2G6-PVr
zyfpIMl-wSS0nJ9-ZP`(Z@PF6d9r;)SI=*Ud5Bq`a^7e;u_Z1+++Mb^xC<ex>e^13d
z1BTqwHhk-qhowu)SEdqST&Zqf%D4{5%IiMN`%A%o;_rvgCj^mBEzRA30LWYM)ku?|
zpzrL~?A@37p?G4VH`xHlP;}m-Z7PTQT5a=?F<$)S`#1k%iiTfX1NlmK%0im`2~#~g
z4+?gun#~`eVX5=v*Q?AjkRaJ~q@Qr%zY~9Zs=ivnCzrjoe~%RUo`>E(Ho$=nhHrBl
z+$`~ueO(LldkGXoKVJQDm>uHrt9O!~TA+VPbV%M;9KKU@9_{<t*8T}C<Daqxgx@6o
zO`sP;>^)=SkUCZbs@nbfo@S0;^e2?x)QiA#XSa)^7b`{$LyMgMnt{CNmcx}Lj317F
z4xF@Qg~dgk2P}bRNMX0BXt*c@!HwseXM<Vc8$Z-o-)#!1g}j^mw*~QbASolJl@%Sl
zFKYkUnPT@D3Dc%_0W7k<sr>522Hok;13I-P_z-z#e7~3g%5>FB#>LsOe`;S?m9`0N
zB+DwdpW;W8rqaQk^c>Ld3?A(&Hpc9{M@#1_ALvHwdR}vJqFk;kw_Vv7AJv2${$Arl
z|A{Q)r>0!k5H)ywpx6i_AO3D(aNz@|()o%#=htCR>kdXMsu66TZ%yVB<-_&Y(dUa6
zxS{s=#b2d5Lnx0@H*H+zh4)YI>Ue8jeD+tl-r{74OHUuC@yznV>$THD(^}qBb;sQS
zUkng`(TlN=o)5*+IbH8o*7$9-xz8fX0Ke#T{w64{ou94=7M$ltS(=YZrl<juMxUyg
z`tX5ze(sULUjckgdK&-VQ+=HAxo6~G%7;7sA}i5?Liks}_na$8AHGM2LSJ(6<5W$H
z1rtpemU92qj)?0cnUsy!Kf@2v!ivGL<07Cdv21wWrH2^Gjo=(k0St`a>pl5e6qa>S
zieedh*!F|leWgeMBNK7k`*p?PbTB9OsFxmG;|hy{b_gO{`lFtBxdfi_ToF8>sRsoO
zdHF>dAuuJXQF6?s;MG|2zL!-Gtqr2tO-n-XqsrGOe3b@uTHRsOFI^m%5GbDcDU2}Q
zTEA`=SzLd@{k*DA7t438za@@}Kst*j*U&%?svD(sX5Q=KiN~XZr`Gy#GQTO%Q;7oA
z*Q?J~KI>xPdG*{q4RO>*cvrf~%A-}c=J4R0E*i5l3+jR;aMbBs`!_iSOx|BvdLX6;
zkrjmyj(SOK_I@C+NmUW$w;XQAx$2>9bGgMmiZmt){AoMZcpymdJPcmbfu*AJ-R3MA
z+%&&crw(N_HauDl{-uYye};<JQe>gCGtJV;Q3bMsH#vg0>SK3Lg3OVva`;l+{vmmT
zD&9*vK9hQ{kFfHI0c%AHa*Au{#jMp(+#p>s6KH_eh~lS8zbQCa#F!VPtd7PXysAq)
zhDfj%<{oa6$7oN!-=2AO*p$$FylgQ<t`D_-_^JYSIBYeI%GZGC+1jS<Sw{F-r<|_5
zM-fZHo{NK2O?=vvsLFKI7`My0&N(P4VGBwQkEd!vNrL%<`(6_;?yAeVxwhYr$Mt8s
z5}L3ZEQ(?BHpPaCo_^<eWr$IBDCSgaB7j!p%;9YYj!-E!FEJGq{8>KzBwQ0I@*YXo
ze9dusu~+Hm8qd3mzffJLH4tTdEO?`@1<VeoZCk&fg12-G+az=~Fdc4Q5#VWwkpjOz
zj;5**%9``FH&RE#s>MY{8Vv^?%{gxMQic4@MaLj!H3Vm#t$)f6a6Q)@FWjjL=egq8
z$UGIOJ%1&>BLHwt-7ve$NEI7DTU_xISBA97o=U@NfVJt2?Y&7AFmTAs--%E}e97$t
z<Q(uW$b03#coi6iYA{}UDv#mXtewmhE70%d8?O1I4EOx|B1Lo*NLfwu)>&Ag>`b|G
z>1JgVsFXh#T`!C9a0eBm^;Qs-%9nS~P=dboyYVAyerfQiH?h;&3cJGspH0>)!X`se
zc1%hfJ3XbeV>GR>LB;-+K(7Llm_LiV7>S_GepSeb(+WwEE_?w$<-w)A<=uFuAU5*}
zJootoxO-eW8Z$wGs7~O$!!&+8nYt0wnGd85aqY{Sk%QrzTe}Snd6BbKCE9l%p#OcL
z;O&Ae*45fL#?5k}U+%r<Gg+XhMtJHRy)3eN51RFHb0B-RRgS)#hMhhyLy{DwvAnxG
zaIlIMZ8}}rzxZefI=Hx#%}WyBK9*wq6Eiec^RrUIEkTkMeK95C*cA2dw`2?x<}UGv
zc63_cqzpEH7Z3w`UbmrMEF*Yo_xqb_Ss?%I^QL{-B1rIkVy`m906o^wPaMhS;7fKm
z;Jd~nJx;#IIav&#?6l`M9y7y^jw-EljB7sLWLi}*g8@&c-8EvJ&7fitwUzg$04Drw
z>W{u=K>wlT=wlV82;d!MsvY4+qETm6tT`h*>W>Fr6fwnPr-+;h4t~7+*x()fkrC|~
zDgOk|nBdl%>9Q}5e7KrJ`d_-kgbWp%g-uh&sBApPke1JjYe%a;1zlvusi4CbBX=94
z`vd#Hgd{Ik*qoKlWV4|7(k|h9AB^x{M%`GoHxKeCUC!<=Sy8?9QLU_p5!xO4k|G~*
zV~5}QEKMGE+zoKqJN?EG{5dtd7tOfwKL7v#|Njh^cRbZ?7{=|Dz4zXZ9Ou~UcUeWD
zM5UBA@{)?Qmyt+HMWPfL6^V$f&X1Ootb`~+Mn*ETU;jRT+@I%up6kA^>zk-hdPXCd
z2M!T|+IE|b&>fNa%XXX({)+v%^OLLK-TIp#z8k`CVRhWqW<HPyRNl_S@qxDGO%|`8
zAx>=dm9^{TgZTYDr~1|lAY12EQTx0B5XrJED#wrJ&;?>CP7te3WSr~1VSp`vq;mh9
z<451YlTJNXh47&+h`vkD0K5x^-5lHkxV`<cQ%sUDu8hgvzSBU*a$t{IeW?Jp=55-y
z^il*LJXDVLo}?pOdc!c&IzjmGmY;L|EsD5p*XZ{(>7X5W^JDEtLAYl>4$9IKhg9E=
z)5bq&Ab%d^b@LK}?13UP<!A|roV_`%olJw#I;#v<4q-55-2KryCyB_R3_0%IG$hLN
zbw*YRgHkh<@-b8z6R)|rj_J~HwTCwEcvA#l3rs5Olx0z1T0+raqv1$lGj;leC<gxY
zghsZ@;oD<OkM`<gzlQg^ksvX=&UQ$#d8&X-hbSzC_4+tzR9qGnE)E&f%OjIDiujtH
z*c?)=kAtm)e?+q-AaC(r_HeBd1{38O8*BA3)}MQ&v|kdN{Nqdye^W*T%hu?lUHa&d
z2;6tlOd9Q!_`%<QRp2lC>xL354ORLV#)KZqAm=&bkcY4uGVhz`J~yI)pUYZvTu~16
zamPb<P1Vt#H|P?2hKAgoY@~dFJotP^wMO@AfH|biXt0?Ep|KueK8hl$H;$H9Ue`pb
zo(I3K9UW^A$oKVfC_!xObXws{E!dwiaQ3gJBjUrifTsgW@K(=AxX_{vrUe1Hh<yei
z9b+bM)+vMfgfIVJpAK~0Puk6h8Dd!8c5!2g3XYaG*ok#fP#8;ms_Zm`?^5D`!b4Sr
zY98MwQl^Us>+g(Nl17+w)Vy34r3TyHhjBT9t8pgOf^+VLF%-5OPTO-(9SSny^9QF^
zV=y<;B=MCA8WPg|J1sS^`M<U~5j#D|a51=xzM7)hDXi!bizb}wIGD}d_3$b<Ah>(h
z3>1%?uXE2eaj<b|yg@+^O=VtokCZJC={D)GYMmB(b<B%DrLD#{^)*}a*I6P)kS7qY
zwXntVP)%ODE}q9KeP{d63I^wUHI7JYW593qKbB7vEF^j=>^ei>(582G>Q35tM%mSN
z_Jj^>Pn>l9Yz|zx!<^Q#SsVF(x_&VaYC*z4lP-}BwD^k}${T6JxJRqRL{k$#1^#Qc
z<F>|;Jfrz9!&=C$lGpreqmKCCflwQFYs7vp-LHCD3vBCm+_GQ0@_q~^<C<t|d@11Z
z3F*;9_1y}gEL&x4*YRC<EXNua;dvX~wKTzb?&rjiy&`z--C=uDVvSXXq&dx10}3LR
zX$yt2*frUA>`H+(3M#}|SMOFwOWDVZ=Ov`Dxr05pHrX0$f0ZRxd#V8!%ujBAEry)Q
z+K$LzYc${L40+(F3dUdKm`ksPQKe8~%>`=|xh6Ew^i-hK?YEvTFNpu#kMliZvc^)g
zY-E;@GWu?@xTQT=h3`KMBA&bi?CkGOJf2d7oio9G?=vT~UCRtq{Q$jB$@G+03a}2(
zc-45H4K!`}${}$e{qp4y!E`z7mU-niFT{e~rXkB}7YU4V+Ug@!2DHzIew-6$!hPo;
z_1bzXaEt#TE|y9me}2c0o#u<g!?ipPz4BI&?&l0z9G5`5;-?p<_2vnVm(Sby11upv
zt1k1!NgVt<Cj*Cm&k|1RMQg8?TY$;(^moe-qPX))pWWYemJodt>gvL8frIlm`}2K8
zP@X&07wR}me0{p*)bd_)IFZM;@#qKxF5A|8DxW1jY#%R_DKmp`n7m)6fDmGIt@uO|
z=Lq-qh=Cb#Gib7}^^6h|M7F*SlXcBJv5UtHwIQbXRGuF(6vB@pAEhe>j*G<Qwl2TQ
zZziC%v-0pT@xe~_cKIdFWkQAPI`4>$2|V7-X@$IAg?Q`0EY<T&Xe`lsw)>eeHUwrJ
z)qTZ-{Dup9KW{Q4>8<d2O+{neu%WwHj&K8p#m%B53o1YA$ZUu=!jFi987<D-@F?l(
zFJxguHT(A$o%}{{eH)v*_d6H%a@zz4d9ovs(OlXeV~D+}S2DuyaAA+Bby~(p4kUcv
zu5v=a5V=9sGL#EkxJTEM({<$nSH!lY%mf2?X-=Mwzs7~H(FzCmk8wk5yFqlUvH?bH
zcRRYg<HA@n;|t%4PTD&TYi=r_<5Jo}jFAdA%H_K6+g;#;R&`ITj3XUiEi^t|$l%7S
zA;-4BV*(&TFOACe(y(^R@47rE9%x;VqRG4y#Nxq|zY@Y}IM~E@=#Jzn>|yn(D(Mlz
zQIXrrb=oxK#h*XCjhh$svSts&#6;lDCh4Qtq7S_zO=(*d_&|(5?0w}aioNNz)uU1R
z*sGiV&(f10*Di@hJC%q*X;eI*U`2uw3Sv(tDg+?ku(Q@pPXf~M=fmdM^fCMJF30+G
zL9A10yS0-c2@&DTN#38SV0A1WF+L}RreRz2Ha}^6XKObqctFLH)n<$10mA6ytl;9M
z%OW`PW^nNtD(u!-?D%+81YTRiZY)U3gG2vRobNs=ye3*O6)TEi$twvt{EBcKKcm;N
znTlX3KBvMeF?1;8IZ+gquwKuTXWh!VsQt+w&-f)U^jBB-Bb2c$_`8yKrH%?sT{R#`
z5_<1uoJRsxkj8Ido_c`_nP+0T=6|K&_GEtGY>p}f<fEq_KBMBr&fp-0%QEn4sy*{=
zQVre$25~iispzXcIaXvW2im02Ww$jND6oAT+UcMV?J79QEz9HCcyNFHJx$nLUSfYz
zq>udiO?&nqQp6Bfd}05z7S7!C5$Uy{L7I@~p!+DHAa{4If|Cw%+h_Mmf2YACeokzg
zuQGxT3?_d_pn#9@t|B^-4&K<^$DXX*`xLW;()4FtRIuDUGaG1tm+$Xo?>eQ59lH}R
zg%7O;gY}&7g?)yQnF-y?9ifJ;=@xY7Zar9BGM?CS)Cg53lOxer)Zu29%Vg?Kg;Un|
z<&-32ggYp*DMV>tSt&8W{|*(?18J|QZ6?TJ-~H|22~Auc-=g7HMupjP<2xs{%;4|$
z)hpRe3r8rW%ONkQcvd0z;BbUFOr+mSJ`~jk?fgUTfiNoka}-o_ep#U6nCjYNFSL>O
zgyA2rN=2smZk_wqR=DO?Vd_QI!6E0FxwEVFFfm!f%zT|dSJj5;ofmZQQM#J@!HS>m
zD7z^2bRUpxU3oJsRR<=a>o)%Srvv#RLAA|)fRCC|Tvl;9;2*ud)G)4vE9bs%<My$J
z2Wz`%qKnSTTn3nLDbc`W`HqLh@2yc~liji9n>Nz8VyCja)X@K%YkseQ4dU|kH%+hj
z7fa?C|IaC9T-<jp$I8-X#Xki7!+f<6<{9I5Gfoi`ey_S7yV_t+-Egx<uqG_)v-LP5
zWN|}HZG_Lo27%>y8Si#$;OK4h<O8~r*uXuUm1$sunrA<ApBbpbtSzqVmcA%neD8Q=
z#btwGIc9Z@8C4uEZj=9hUl0|ZG2Xvxtg%g7`?16`6{ItmW$rKY;CVplLUpJ$j$W4)
zoZG7mzw2pwMw#sJx}UnHNzWQQ|0K5FmsEmm=K&rMU1q54=qP{L3|v3^z(e+l0u*F-
zawiDP6Q0b`Ni`uWKDED!^OuPnOcc3t%-2p4s&aPGv!Xzd^zd1eUTNIB@lx_|>lhIw
z?o*k(kHC{l7m9@QB~iE{N_pxKk@rk|*W_I*Smp$pkEMx2#b>vZcyS*w6=3}QO^YSE
z?$?Pgl!?MHT!YDPs)smt#Io5<%o3~oDz$AEg|S`9(WWf5n>hFCxL4>F3p769nE&Z5
zgxry+h=EhxgkO)TV0W@Pri=gDo*NUu=6^r*!yI}DnIb*KkH5^&^H^n@=Wae+_uTuo
z^jj|xG|^V?V_=5c*S6Krq*r0hLg3b6?tbDy>!!$>NK;U~1NLl?=Elj}Z2t2v28qI(
zyl=-lO^|l(&_dP@PF&59cfa;_n7B{f6Io|rg6)4cx$%EzN9l5$TDtHUVW9ad&N;;x
zS^SYl+;6jil4pDSOwV7!Oi@XG3!5>HSEUI0MY5uh+i5DKeu79~y0pFVkP+M!n#PVk
zW<kndA~p5v6k-1DuE5h3PI;dc<<v6Ej1I92Vvi?h2*=7Tc}*J)ajH@N@P=c|XdNhg
zcw2jpsPW#%V_a>36O4)jLz2v3rBpE8Ke<2@{nma}V{3q{s^ZHM-Aq_|!C)EcSt3UJ
z&m~8{rlalHSW(JnCd7Qv*<)42gzx_1{|>LEBdm3%^hpO3@K`44(kd2692XO~SVx1I
zwPE0E9%lHJ8Y<5RvBEg>YjBk(4F{5fS!%a3<FiYAx!^b(ZhyR*WizagHLP3n*k3b)
zrE)Ir>}3x0?WlV#c2OS>AD*JHI<54}eEODw85dN&o%U^&*2lg5yGEXkv%u6UM1L<2
z4;F6?Wb3@7qLr5s<WS6tsF%SF2NzbMaYJN0xt)rD^y*}fBsLT(a;Nl&@FVb?N5BRa
zD%|J;(=YF`L*@Og1t)DmSo2q#TYBl?kamw;41)u!1GSfJ_6Wg@v*r@#>(!W$2xvEF
z<3h#LFtuNK!kDG9XnvxvMmML?(lLK-R0fLN+AJdq9VRdP(0pA~=kUgA&hg;**wp#T
zG%=(+k!IUysf)@2eeSc*co93IH|XIgft}&nH{x0;co&#x&=|{)Z0$TATOlbZFy9{T
z3a23EsqfS_XF+7R{}&s(APw;vp7ru}6vVH(Cpq9J1W)-WA6Y&*<h#(9Pe@WAeyhVH
zI8_)2`o3_4+bQ5u+lwP7*eFQaSNdkxxCnZE2TNue6d@It@|<lI1=~v3i!XbLAyI*;
zV_HlZI<^l!1?W*=*r0JDdO#coeS&Oqhg8t6bmZybV-!@-el~Jlm&9*gib`3VDm;vA
zmyLf?&~|3<v*8wLG^$;n`){i{ta9QRTaN1@$@MN{kGU)&A67K=^lD&%cY9fh#cF(5
zBigi%kVoj6P3ud~X(3uMDj>#44?lL?PCiamM24X;sERt!=5D&lVMv9B9jhf}gAzt(
z&s0oRQ6RhV5}*1g6{$j^In-0ixYfUzciL+;F6o9}8Cc=U0_}T*#me5RCbs^i{no>}
zgMZHnzo)^sBgla^q>7i`zHvKqsE7@9u)9A<$F#$<VNPvzgfYT5A8^q}xPYhLe^f*C
z&7QD+?yUjWD*?A|H0fjQF78WT?-;@EE}OV=vL<xz4C;2!X;|m=rOi*-1j9-q=iNvx
zocNGgv(|?O`?vQ?uD>w_H_c`&<g+$T)zOQiy=f@QG`{F_!W?NcOtK~wIv7$+6|L5x
zLE_Vy6OD9B)E$+$tFrR{Ge3ihJqq;E#VY@(=C>8Pdbh@F$moKxYiaxW1u6_C?;5f=
z06GzxC2FU2@wFs0qmP@4lAgt>J|1gOhBEylQ*<Hvh4_2@wJzcd={xQeTO(rXl0@Z2
zU8L^vkaCmJLFh=;#j6fBxS+3Pny;dZ>zf>>H_$cld7ZIsW{C}Gdv+GoL{RW>>yEZw
zbu}1YUsn^uWebOpur1s<I*2SBF;*5<#+hpY4fO`LXuOsYc<-(@HhEk-P%AGF2hYV-
zp9x#=Oiu)!*`<YGZla~iPZEjuq_*y&*dnAn)cftC2D(dF`cCMGK(*=-=aD5F9NTp|
zR{5ej*!UC+WXE~YIU{o=veX9Tm8eAegev$O$6D+w*>E83QI_)o8<^yk<O=Lm!Ecpv
zm4gZML~<O5fC;M&K2@1$^uJR=(cys0O#EX+92whhmuQVoi$%=ujTI3aX|*$erJdNu
zGLX=sVU1t40f%S&<S@2g!TPdBDnsj2Yhg|yz}53uQ8r2%iB$HsI<r<rUmE>aCjiUH
zfY+Jz5}=i)wysz1Wn{?T6P-&Y(5ol@Kx~Z|{D<D#XgwHY#9)*C>QXCgD(kq(IxGyE
zea()%d?SowG8bejzgyzq2d29ruLW^ka>wR{#!-f_n|w<c=L&y$8n$dt<U>f#o5oa^
zKa69PdC?AI3kY~u#ny52VD+eyoLt=~!|l`AE4_!zQ6D0@+ogpAS>x|r(-TG*zs|>H
zUdl1UbnuN+wezgl#)t|{Xdhze@~gbKI%W#FQO)U_N0@Q+zdidud>CXbXs>=+Xl4o{
z+sOvr14{(Ei^8VCuzrT@q*BVWXcM?pq>=9r&k@z#tlt_`e=*vcWLosQj4|dTZ}@w5
zno#fEa<-1_W~j?br2REB#+})oKf5L;h`VYf5mnw@40E@Mbx)Fv;A{O*B+dOVQPf&!
zN7!^QZcP$Qa?6HTG%MsQR2U^_?cI`hM_L$ss(CYlzJ{pu*m!=__%|`Bc=g(cmL^7f
zv#YXOvjIK_HU=H*>?0EDw^47h)ie62)QlHv3{d|{w<nmrmoSN|Vrm+wW^|^mH5DkQ
zgZ=7UQAN^E;;-8puAp^QjM7IXm(2|62;P5gAyB20=n)V1@^gC0xNwv!LF_pVFV>!u
zODS(B4AvY!_2%7UhKbV<{UU8;j?1}@6b!Wz;T8es##e<hHip?;-@TICUooFP#gy`u
z7*JWeR=h5S2>WT+m}sew3zx`Zo7Z0m#XTk;DU$ib1Woy)VD$<we3R}v<lIESZ9^qD
zS1A$c<dmPc!XsTT*1tJJZ6p%Lyrg?JR1&+jsH3kx>EU(>-w(sR4TPdON8+cmZwYI6
zWxD+2YCH|TyoU2zJy8*oQ<Incf%wjJgMY2kYIq4fifp-FPZX!;^tcq)5<$67g(Tc{
zF+Rh0x$8nb@kY<~s{EgNg1u2=k8cbGi<g9-T+OH_xTkGm7WkWpAG;@0#6Rkwj^~w>
z*L*#}Qooj5wr(cO=F>Ztcy(}6q)fl&d;@Xk<h`WH*cRd}vqk)}yEcR>w>8rA8;O|e
z{<L=sZA6nT`Sf3^7P?iooqM}dmrd&D-kUc%h)6Z-Gc^;M=yj6iKOy;rc<&#+im|nm
zctP9NynUS}{Gts${&Q(2ggZ`eXV?Bo2=U)mypo}T(a13}tKci4(tk+m>-%nE&NDXH
zhFt>z2MN6!4z0x8hBI#qqIwBki@Y-5gX;K`s?mN}@Eh@a!C!oHa33Lf^GHvBgBnbN
z`s^O_cM#KQS*yOp3=pO@B@#JSYVb7BOLkrRgIGIU8&}c#o8Z|f%a{I46>*!~3zBzr
z5os@)J(ayi2&uW{9hIu8IAdxSJX!IRn2i1u^+jlmFq6A8^Y5MtOw+?|cUkukk8_q;
zT@(KjN2n2bwlXSk$ge*(KiW&2?0iSWu9+axM<<3-?kb~UA)I&XhdyGy`SkB4#VI20
zS9%bivNG7nmv)z$2Z$8sH^f!S4AHwO>r7&{66zykN*_rM5vq%vagPqo5@x-h1~!^1
z;keRq;S-4?L>}W@i`&RN;oC=T*jS^8`bUMq*}7u{yWCF~!)HqbSGty8#U4e>FZL8t
z3;z<94Tr;<zB7R}S@7|VSp{s}QT&FnZ-Q{h&(+?4l?C|`Ndt#W72vE9cB~vz#JGZL
z=X*akOmT61DG!qe=j|eO_Kh>d@on!DMo)2|Hm2<1wl+Boa&1_>lrT$Byk%<bUvpvP
zyvDB`=5kn!fB*5G%mP8@$jl%eS3%y+SVk>d79qg`yH4~j5iq#%_=hMz+WGs$e6(dD
z!h3bS_W~1=rJjhk#tUMHeZ?h|$)F(I_UPKYl|1Sj9W=B~7-dNU2VHi{;H!&vrRfbe
z^fjo*le(fvKDwd%y{rrd-(4J<%j7`*X|AogHsaVP`o}J1QX0dXqHCT`aA7bhYu+kW
z5}po!ThfN5q2;_>)OvOm^f~(~WW;13&QI@s&LabjktLB`>-oXOlj}IrE{9HI((3nS
z8Ql5dENYf7i2Y`9$q7M<h`VC3)c#cl?>O8ntM&^cy6Ri~5jkZvUDQ*ozby-Xnv{B!
ztth-hm;=;CRG<~N6u_Dxhmu;p|HzHvXv;bz^teY24$)^{_VOygtD+@v|20YEIF>Ze
zGiky}Nh($4up%70`n0)NWDxZwo2kTB8_gRdzF6H+f*;S(pRrHm@OksseQ}Q{2;m5I
z&EQqRslr9c0Xs!_)jIEbq@{;%v}$tAS5>SD+w?fDP6?NZroN#cRCK2*s=r~;K(Q;&
zLVu777VdiFjIZRD0~dbGe@xLr)NC2(dTL<Pity_^O2=uH)_+1p6x^pv&{-GNA+=Qt
zf3pn0W;Vk$u1SSoYvz3YS51T|l#9lf8^WI5l#ysogR}4Y%$x#kNLTTa5AGX*kF$<T
z=7s@$coyxrFH_()_e_b`${2L9QwOKijp1?e+-A~#H8=`ChOG-XM)^S=i?5@mV0Y(o
z@#)Y*{jKM%8+IFm+c?g+y~P4ov;7x1?oqK<o8VV|V}#-#Zp(K*5SW>6urOBF$FOq0
zL-Hd-9H?e*QggG0%5jHYVuefY8JIqJFJOS;&sxV*Gi`7`*Xx{omOktwTFWUMG~C&|
zr_`#>79yK@#V9xRQQz}wYrUNwa@?2SdNS<5^*}GG(pDdqy;ih7c5UpER*H=cu*YTx
zgFhEbsYtr#_VU9mRs0cVQux|zkLknC?+*Xd!-L{ShARH@=zZgz**a^FUq2d~?kldw
zks6N^ChJA<L4X#c)nyMZS?w}*CJM5aIdym1a^Nc|eyHt+Jv`$YH?}^}g7$Sz?*-dI
z;zzZjNU5AX${K0^IT&hypV4|-*Ls-oI*3`05o3p??Tscv&sA|&SgG@8A2Z2%*+=5_
zZ(G=>s*Io3S4J3hIO)r79&+yKE2~eig^6;>lY)y1kRKZ0v)e03wiuN8y^puS_SBsd
zZ@x&w#rw$X>U?3cwq@Oiq)}_MQOj->`HADrrtf{h4x*$v@pRVT#TvKn@4V9LB#hil
zXHHvZF*4-zSv8hoK;eMKm=+TsQl#fnesznHiF+%4OKAaKw-1NiUB!X;F^^Dw4RKOc
z#84*Ok-&Jme?sNaWx`HdJj#bAPM!_o>DPC&0ws34dnWrNv9~aeX<SmAOckJfUkb29
zR$+gT&Z!<k_FMV$+rP!gqb&5;<B1kf%v5^evH1aUheuPkra+9O^=DNoHJBr1<CLi~
zS0_W`)yFr==fub;i<>Qp;^xSaGrM=seUz~`B{%xlMlo`TH{0)?j~P-#_KzN}n_>vo
zI{ysQ7bE{FsBM#dZHj-%b5A5b&NHg$t%-{&V&wNZ(JfR>Q*iEdO!||^M2h7p-!#+_
zBlj_7+bSlQpu;zQ^fEsy>EWRfYv?FODs4#Y_T)7|t;e7RHnNk|?n&<Z&x?_ITw~vk
zM;qhh2LB^3eK^S{HreO%K8uk{Pj8S~g2o_b*@@3PxygTpwz>Jn;-n6dcG&Ko5n`zY
zi+9adk@oZZ-c^>0lN-40XA1R=AW>0h6v@s<KIkgBEZ`wQ{;2BUzffxkR@eM()^GXA
z`m_3{vIQhbd+|;q@~|OVQ>+R`2|+UdKhNQ7KP5>s$KUShGKR?BH?;0QIU({ve_>gA
ztrVFxTUvAIvjLb~^W<U|g~-y~mimk)X)=s(_!AsufLW`j_pf#flMf5dZ%UbvA$_y?
zO68pm(6OQN%ihl-<QKi3x*m!g`AN$sy-&&j4P(?_HC3YIhsvHD?(_0wR=djSZDVxk
z3trpcTq#BhzKG3tA5<V!d(!#D8|au+nz^E1BTi;DjJ580p-5g2WJG*g$%ow&JLWF^
zlpq;7JG&MyD3Q6H6a&k`mE8E`$bt;J6d9SfRFSwvne^%YantA}9bICrswa)4$;ZRf
zy_|+B<QusH%Nrl)cwhYGXxlLvvXtt(@w2olDI3vwmb${5rI}_Kimzo!PUoH8{2XfJ
zk!I3pT*3fcu97u%a`L2k-V=c{lWOD%vA<<`TMQ8A8RPXYT!DOH@R)65k2?8pHM0jj
z(*U(PUG&?h6-l4%XVNX}G|1Ao6E@16hG5f~)VDNMB4u4AxdI9`$>r~uoIYuYBJH#}
zwK*m7o@lVg=~ykYkH>gwaLEwdnj;>?<;tYXvevUO4{dU7tz-6&cq6a?K|sF0jQ#Rt
zKCeQm<dlA+@#&D?l1mnySN5)sv)ZW&D^=2{k4a-7Q-|zd2shK8F-EvmLXzvODtW}2
z^>MEPg?zXmtoi4a32N%D@U~{Fk+P2Aeo;p$WRDZ`Gv}M8xG3<;UDr*WjP&(YeRzjL
za&JA|;djIgftrrqY{TlLe0-%4d7VP8(raWVH=Bd#4%p5dq(QpXM>0jbQ%L8~V~6xD
zEO1MxPxM=_23h{bI!v}lhh%dJ{i&m93De#MztdKlWOU=|7-tI|@_zsT0RR6Cmv=bT
zZ5YSx>};~P<5<VB=kGQmA(a&+p^#`v!xkYCl7`R_Disk$IJZPf)LT|aLRr}(L|*@X
z|9GC~x}WR1KcDZ4L9gzoRTIcpJ9U#1LBf+1Bd0zuG7bv_bdy_5f$pKL`1@QE?#XF>
za>-R0t2Z?q4o)UOdGdJ*-X&p3=H%EPSrXEn(Dqak1DL8iOWt{bgkfLG*@BuC(NFe{
zOS}(&+Jpsnk_`!?S{XIN+!U}RPSJBB2cVHWC+{|;glxJ}_rp8n(9_dLI`|#HLFO|&
zp=Xt_D?CM#(@qw1U&hIl{{$#?{PxgySP}Db4r_+jOCzsG<DRxzfY0aJ`1A-xY<(Ql
zSCu4*PWG>M`_BNZWd_@Y#VX)hv&m`WQZc-BAVBEI0D!$o+83Ue^0;*Tm`5ht7Q7YO
zd0qM~!1~PIkAM2*ux9#WZ0}7WyguJrvU&$VXV>`^GJ_n(oQ>91J}iJUmwL7)odEdp
zVzDw@N*1q7u~)qf<wI4gs2k3P0M)}+|AZRL;BDVjvnwBYaQnB})$(Nm(m%PKb>AnA
z8j;hcwI8@KPv*za{3!y~^60jGVU$8^gAuKXvz%BwygC2-h$(DO$RPwgCGbzEqAo`^
zJ8lCnzg$;Su+4M{KhP?MqfZQva;UMP-Q=fn)_N0|P`#<#>LiM>i>&6VvaG1W!youa
z)da%UomooeMKCXj8j)~f6ZXCOlirkR3<YgG+z*R|ks0Tgqj@*s(_7V|f$K(aOIxVn
zb-WOsJ+yvRXqg4gF23Un2rz=lj?|>MP(d`AcFGZy-h|bM)qVwb8iLx++t1i93E-Zz
z#dC&Hn=nph=et!aLuei-3>AOLk2M(y8Uzn3ig+E@O{g@0ZCc*Dfu0}jK1(otYhgv2
z#gOkI4Fkxg7yR3Dh!49?bPl~KV?#DKjt@T`=mYGw4EZ<2i}!!pC8XD~<7VZS9Aia&
z7;HLqcR7L=DJ?<S<>MT<BZWS<xKIx?0@k1W(BMUH@%(l_11^jceWZ0lO%JXHIGpNT
z=0UE|q1BWEZj|~KMfc)`F0>4b&5HK$;F0?&D~?-u@RjIIo|jg-u=Z$_`}=1e{FxP>
z_HB{}19nf*o_6bimtEbrsD2)Fx-+CD)y9jG6Z}El!8(w|T$B*V$cusr83D2H_>dg%
zl_Q2v2d22$S=5bqQQ)noW7bE0RJ!h1FkPVybaBirehIu7$0woBGc15&5BGIMduhYd
z9_z@?VP3TPOP$H%5kej6Gn1=)+Hl+dYnkIdK8$Uf{VZ-TjQ8%w|GW8K3-XnhM&Awb
z;pfK%{}DMN*q_5h-JGNaA1dEmFpA+vFU`WJdU{bD?EUK$y-N$ESaT*SH3hI?U{{QJ
zm>9k?waH16(E_Ce>)T$70?2;Qm0Oiv0*4um<-V;@p=|$(lG8^)^ez?_DSax5y{k=i
z27Od;c(9|Vq*@3$l~&!{wWaZ(#FqGw4^)_QW|m2=6~;SyoF?sJGWc)xU+CFJDkLhZ
zX#8vw!IPf@+RV9R(L+fm)wqQUmWd3kS?gQygy$#L=1p?Av+k5t^A9TAX`9V*GZjNh
z-CrJUc6q$a7T00GtObdaZGSS-#4+y2uAiUy6p-t#jAfp_7VIcp$n{^4KpD%<9mk{;
z(VN1`AswLwC6d$98AqfrPeVV~N=*sNY4*KUU$kIl+|Q)wtTa*vpC^y#lW_ihHmA3V
zHl$J9=d{dakm4L_uWPD|qI7dd+pDzUal|LF2_9L@<h-zdpFSB4c|>lc+37&OOX)r4
zL0M#`Y?AJhQNi<-*`v>9b)Zy&xpaGl96s%{j!BwVLDS6lcHbZCf)GdEL%BqG6!I^m
z>v^b(FSdDTlSB33dX4|{E6xgdzk2EJgrORGiYQqu?9qqK-nxNCVv4xuxtiL<9W@MX
z399b1GJto|y9bW9E24U#%%Fd}8nW?9M3;dfaCJGc+eIrObJOeLy3cB;Z!Vc})Z7TV
zw+;@!7bc;^uG`9Yuc~28*F@JgYh&2)pmOEUbrRC|bO;_1QNx{EE2DaBOrU$XdYi}^
z30Kc0m*#n>Vkc?zzO$t%RC3hne6vu-#hj~;wS85P$v1<&o<e}f-Ry1G4lAQbPLz3~
zE*T}fJ3NY+08T4E+`d0h8QtC3gpRk9Ft7UO@Tr3U9HCk~gsn0rY<+&F-Bt<1&5Qja
z%K>EgCO%oSC?j2Z={^1X3V29|!lAGTkgKZ#85=wb{$#eqF(!vciy`}<f*D9xczGKO
zkx)ckw|9*si=mB+_JihTklr~fX>nW$RmrQoR)Nx(bZv|6_zpAh5STmUQ=*6wTGHS6
z!zHjjYW%tDb~E@TU@I}$t$=qV1lyYJMe*LgNw>4QX7HIBU$%E%9_=So>bC6_#!zN4
zn`r?vsC}_nF^*myRaiNaET0NsF8#CMjA4Ldt}-{*S>({Tf0<lq$A`r?o=sYnZ1AG1
zEJ2G+7Vo~W95OWELGC$S*I&m0LgmiyRN|DuqQOYfrC*%L*WUG5Lj~ZbNJD85zcgB_
zo%{QKh7Ao^0_u;{ZOr+I(mf4JNi<AaPxeXLg!j1PCCd~D2;|5z_6iZl-;yyZtNF}m
z_kAof<$@^)YM%9ptQAF%5u4RCeI~4CNo1QCFadYg%<^p6E%>IoO0QUl5#I@gfiGbK
zQsci$r}BicR<ov7Fr5J>&gL5#WgCO(@t3y-Erjrlu?HiWV8CkTGyMK5M)3Nxl&2x1
zAm&X3_gm>O;PPAnQS5F6UOqo)qyc`keSbml_hANnmiR|3zs3*_jD2-E+0TbR1lZNv
z+Zb?HUb}RaoFQ~_o=S>c<3*Njsht0gGU6$k+C7UD1JKTNol4Z_#j4CtC$gwasHf2=
z7`vhmFW&aH#-?rXm9DOrNsJluGtR6R9nl9P8~=vAOgxx+cv$s;JPYz_t(A=Q>p`<;
zu5^#WW<;jIYrpI^Vdj}mp8f86VC#AGwEAgo6yNGoyPnR9ccx8lsdwoDv*6G6*gstO
zQEA!q&nz2`h5c&|ch`j*hqelQDdfV>47z*6k8xnEvzchn4;^SImp9mYfeVWZGwi->
z;zE_9l@FAHbRdtbX~Fn17m~M}vcqa_6ux??@#~s4BsIDo+*iki6<?QRs;qhNy<e*9
ziwteZufK3QQGy$NCa)c@0bU%LxTUkIt_=ddk%!0ba$|{+U8mD_KHT@v?#9GNEugC!
ziJ7wBjL~Ph+7k}(BRBU%a?fck7`}btb{-E8vh=6>p3D%ym(LpFWaYKs(DaVY(<wZ-
zuvfs%xLpvpS7oiLc2S|r!6srxk{3N!>jyTg3ggt;DdUigjhrw!-BHhrtm(P)+&4u~
zwBQsu!G#KWBmbHQ!}+j#bWgXHgedMSVpU|2rGgOi+{a_v`LTLhEBkJx7*?loc4sYW
zLgzV~@Lp8`w6mzX+ICa|bH)<K#oIN(#V5}_O<oYQSpOB;nn+>Kou{6GwVGgi{J)6_
zO(C3nu5X=qMH(AUyu1)!rU}2q#XW4Ch0)@3bWg_>8RX*fl|Emt3HH~L#d<G`Ad7K{
zHp^{UWEpNaeYrss97jg2D*CqI*uq&hrHy^O^=|yP=^;%hA<SZ*Sc>6PWn|)~4tb=L
z@TbxVQsKF(qpA&xqxh@1S=Mz0OyJUdBH>DfKk5g%i*`z)y5@wfnyL~Or*ODEdQ1gQ
z2gl=~^HTVu$>iEscM_5>H^waqX~9Llu$=xjX`~N&RrV!b8DF|@xu}0#3$9C*bNsH5
zLBF2Dp}&vFIORNb>cGbTY8bbt=jF;`$eL-sRh<g*vlpjuf76E8PF>#4i*mSR{v`O#
zYgPQ_yqDycrvvSd?k~GS<nhsGuXELfYS{SXmflpfE;xGgah~;5z{qCB`942&+<K_(
z-=R}_;AnW_0;7c@PPXpV%~(-K^G7b%?uKo6RD^!tZgC}iVm00C?W%$Nnz6FM83y3N
zDK*{mO9^MkX3e5cYv6uy!T1|53?cLtDfmkc3HjKP_jv8nz+V|csdWQJa9(k#*UeZN
z!?G%py$99trh4=1C)_4*F*;49tVS7+U1Is?Nmj>je$|(Uv`xX2mT*5_f{cPr(Zd=_
zYRJ@8bs*J_0HeZ}?`8Iok!(2edgPl59y^o5^;-$Rig|ed%K$RYt8VClGZ}X%e?M4$
z3m~PaBrVI4j6BINI1b$;;pp!o>(YM!O7(XJ-1#=<TlsiWuv`&G?YK&_H}-!*KlyE6
zp)&fF&9{oZkjIOkwKLW(nt{{XkkhV0%E)mc#*O?`7Gs@$FqxE?f!JC02stkj-X}KA
z#XpcnG4rCzoH{dLGiW`Lovehpyj}E;z7n`ET;iMp%?ygVqLVsu6j8i72&GH6;5)ZB
zre_|Rfp^_OMz<^ljLUS`^k}OPO79FK=U*^`s546kIuhj3TjN+eiyA-fZmKV)b2I~`
zuz$D5j>w_4ZRwobF&?DqvR#<m;Lc)o%-ca*SyW}G^Uagw#Fs;n%CB1h3NIH2TvwGr
z&+k0v8-!WW<srx1y(j?hM<v}``J}NxF09P(H51ld4jc$o1?U@kTp&O%iMfZD4>I#H
zVE^XlXL^eWSmnIi`*>aq&A&KVO3$p*iYk{KpRbrgmVy>cFp6SimS@^*^D1pvoitct
zZ3;nRb(Mxx5e#F?%htWRLfaQv_bB<Q3B0b6vHuw(gbzx*1MZWTX`ZRi)UyVRq4{dP
zqTRdz*3$2@V>`J-%Vwdpv{Q|NzS1<DF^L~D-ncxScUYorKd{=qc)<w1w%;6EHs`}_
zTjiVto-EPMJU{p=veyveS-+Rw+SpfS9e?PYLY8TTR@Q=Vbq(QbnD@t7F&?ZT%`g9V
zeT8OuvZ9?m(*Q0zJTHn5=EjS<a#+E#N;{|^|Lpi5efa)zX3Tnm6F>PlS^TY7qe-X|
zqP+X{VfwzfnZi8|e0*VyPVvq<O|ILe@NbhIu-I$qaip@N<TNdvp^pyt_$M<N>Fa^v
z1&gHF5;n{`YBZwF$bg4Q&Lf>gy5KZh_j`ef4X+$zE($hf#6Jg4+V;rlLKNdNdMC1?
z@X5$w+f*j}qOmBt^NtQ2Y?-~>pwEh}26j<%3(Pp7`Z&!}Mh9;1mK&etXT_sh4R1Ar
zH=&M_uyb>PHazSQI>9Bvil<L!8`!e4q1VOO_*IHF#C&*l;GzX9zRB(xnW|vNoz3A@
zi!?20b7FN>&t$~`dXkrF3@0`@$g}r5Zv5@u!Z=}0HjGZ?3fgy=8)GZXbccUaA)z|C
zxU`TB<qp2e-Mrx~<MIj<mY1kde`Za$){h;}<#VbiI`CrkOGiT!4JvfLd1-8A$ARKI
zb!|?a<wG@N6-Ak^ny_QRj{dGQC#GemnWa?lW0TJC#hn*5;bF{VU_cxf29$UfaC2<%
z=)RArF=#@6)9QoBuiQxYL^|ol86hMLEFb#)qrm16l@H5g9<(?#JX^mej6c77+z5O_
zf#1T#Cll9rFh0(4Qt0*;Ji|N`vU-IAhf4-z<bLv^V^x0U!oH0@5$RYm7(jv9X7=*b
z0X{UWy=#)HFM-;+C03mF6yS_+$jn;g#{;HwtBuqR9$mR(8*ND0@YVmKxMT&feT>hU
zqd*#4C62Bi(WU@Xc$wh+LqfQ_!S<ETYZ>$(p{hw4Q(%q3s$;EA7=5qwmPJg+;`Kc%
zZd{HO7_z(YFIjI39$nmagH1^upYQb7{18fkP9+$QX%t1z|E4vM1}Wfb(9__}<rJ8f
zo{cU&Dvnoc*!NwoRm7&D%~5w5HGx`H{~|&|68|Gp#m{bdJ%4=2VOM`mc);)P*Ul)7
zyaS2ja7r1O9J?;8Z}2Yb-Mee|R-{p3?)1{&M>5jyh|{tOqe6Tuc2}*)VC2d3A&T;<
zxcR{q=6qEx2+vq}t;QgSsiPTD35V72_*TWY;wxIv-6xS8%q@@AB>qhE>*|=$x}`#H
zNE>QB^@cpe6;N4-yC^VE1D~gITsttP1L}(B;<-s1J!L3PAj^z`%kR|JPI2hL)9CWn
z#SM-g`_vPdpGm>J_q6uBwbX}O1s=Bt6-b!sU)X5cM8UjZrCqL93}E)r^;aTX8~q~8
z;E_?=M&26DSTJb_9AyXFBYKtb<Tl^GyUQt<v^u~3YPT`G<YWB#EoEc>U-x~T=}$q^
zC!!ynD@-=H<1nQwrh+fd)Lo^0)xh4#iB=;X0=6&_fr3#gm>cTzbYHwWZnExJ^xE)n
zp>f^#x#ud_YPN9g+Ba2nDAVdOK!Eh*7`ZEzDyYwJA}4Z;j17N1F7Mgs9T{l_AK{V;
ze&#1Gaa5Bqnd0oF^VAF)zh*sUC##^?QT<q+gNi6WZl2{pZw`B()>qVBC*#iQp0vRQ
zIpm2EJmP9-4h&}(=zeu7<9X`f%3z!fx{?AP>bjXjTYr^E;1mfHo;U0#TS;PZe_PD*
zesd695qWudNC^u)CBm0zTk!d&cR#c3&4C?7?aOKukxAo8)2mcL<Z80C{GenG%M8cT
zL(VJUg>CyoTN`=t(jV*7H>b^jS8(sib_02oIMMNBppO&lA4SyY7n#AjnFe3(m@Hnq
zCup`Px(V&*_xyY7ZU#T)0+Z=)$>8}`qqKHY2DG$KrdMFt;97w@-_f1Ys8Yd{bTe|5
zww<~E@RvM*evRqD-;$De<o&apQK3Z|mb`woaV-dX*Sx*<LJTb(YD7mRW@w+8PqX?}
z6JWpYqZN023l81q_?qx>jJEtLDRyYi6wYjJ%WJY1Mpn~WvEH<wG>vly+C5ZFVHY8~
z$hlh(@80(>JF7B4tFO34Z{ueIdqS8O>mvCv_l|IG@~(cG>Gvl^5A%(od*Av4r#4=U
zIPq8HL+E#!(5J`Q<Pjq%uyNz|+RcNzDh|pkQ~PNaR!J*b8b)Bpt-a^<6c;`r5)%f)
ze$X5@m6WZ88bZaysQuG;4y+$p=A<4Qq{XqUlXII5AhFG%aPSZt?msD9d~f6@&Gea6
zw4jUuWXH3+yI$OctgC|jv&|#4iu8XA&Ko{v%5Blz^qUz?Hpgr>V*E|Bi{NM6-mM2F
zLpdSimza?6VdD{{$SE4*ssB>DO!R=wx?nQin-QmsXdg3g%+MSf&UX&y>%xK5!*OYW
z40tWw_Q~O-IT}CB!_JdW7qZn)q?#1aqjstCue2)*v_qq+A4st}!27E30}m%XQu%UR
zV@v+fZVS13X)b9))3$Zz!7MstZD9O8H?&Nf(Ko3%d_o(Pow!xU9O$sGV_5XI<|<9<
z@1Nwx$qnzF<rAtT(II)yXLs3~|7e~kb|W0ug3mYdqb=m<&~<4?Yfvg3-ZI(J*1kXm
zU-!}B9uqqBT*&_IH%O0nn7LIGqo}ZdwGOCf=&($_xTkqLBi1~+eZiB93U$_1HM?3j
z&S$y(fYii<Hs`J;9losz6VG1j<(kuDt%V1_?S2+aywQ5GN=FlVrmh_S?+ZODhx98L
z@~~pF>+0U4pD3`(J?^*^!+=90AE&i{uwlHra_GZj6gaQdXn)+E5jj_bW=h&P@YUt(
zc3J!sSgx?G8Pa9KxUAUhJ(FBGK8+_9&T0U|u6>bq1Tz|OKrPc29$efpKOxty4i_`L
zLWcb|-jU;&JF<%xA;C2u$XFfPBRZFjN;hGW$)02Ld3;#=K}<2PSPfn>%Z>9(vmt4>
z>`fP50Sq$HU8HHKf%}_2rE_KM__r~l$|hS7eb{~LCTmpTs_Z)Jv!k4t7_!fs(^?oE
zWTW4w?^T6JPYpj^CvGg)iu7*h--0(~kJoQ!SB3sB2b=b2@!)lBy}EiPF&vg$OK1F`
z0%3KzFHbx1qIq4W^gA&L44vAN`RASr%!O7*4PE9#cdiK{#a#;j%3AT)q^rP4&+gy6
zL;U!<HY-8?hcrGUGAwu8QUT4yd;7ed1@X*<^!8?DS+sDGl;N#c0ZB1yviOh?CisZG
zmq?JqJ8fdGdO1}=P@nO*WBNv4TROV)$dWv6llt%IO1LU~e%)*H(L)rEZaLm=6RwCi
zYcFR>i>QH%cfpGh8*$v0I<RtphlIw1gFk!*)!^z-<q2<RNyL=aHO*(r=ox0eO>9UV
zvPf8zO-N(#oYO+Ln+oO&())egOo8<mN_`dHGRRgnGWnHJ4Yx9Fnl5Xhz|8)3Kc6eI
zh?X(|9R=#h{blg#!V^vS?8NP3^Fa<3-}>%15vO1c|Cr6mQYuJ(b(YuWQb0R9UjdyC
z3QD#cMymE|L0~Sf{n@FAbSFCQXohN{=)CvR3Rwr7QX`*xUQt3@%Jp{+bW|LQJm931
zqYH*zl|iIt5)Nez{2~re(J{)#c(aB+Tx|Ut#y7vg@7hb{jp<ax<%2sqyA6Pwol}{M
zSq0sS%fT;&if`nZADZ7Vf~vOSZ!rrh$oQ30OU0gwEde*e>-U*}a`=H{TD2;+jCb&!
zYSBcmDyC2EVg%$Rqu}}7YRDRK?sqwtCN8OrQ9FD9SV}LFE)}cce=PTJFY-{3{;}&0
z0cA5_Cj06ex2oa(Xf?y{uhcMLx^srU(+mc!gB&G_)R57+TPJjljGr6KBIx|hA;r8h
z+IXuP`b^15=+cq!N)pfh<xX?p^kT1a&Q(Q`LT36a{qm?*XTer3Zvhcuo2Fk?so=e;
z*WY7b$)M_M$p?$}7O*tkI>~&OjBQ2Rt}MGsU~G3Ni@UQ0<YqCwyyT{gPepG$YD^bK
zmUs`ke<mCGLffUc6G{kzJWnoK^I;)FeGNCK1$bKJv6c8KVjyQ>&Q=)?v?-Ocw0dI>
z<3(%vlK;u$hu2nL^k*56H7L^k%n@^V*+h4Cr<NSD#<e{;$+<*J_{P7V!eS0<@wbK&
zugTzZ*Yxm2>rtAK;UB*68)oqBec;VbdTG?==WSISZKm;?Bu>y2%ph^KYR}q&IF`;|
zO&$_#A<i{k{8L&25LUGP*H2DS6umdPY`Xe`*yS7_;cEm?L-(8VeTOjOU{1Q@vr!@=
zjGrjGOn}qoXctu!z{6~o%(K5H34Ootak(N>`0J8hMfTyt`#;E!Zn4i0=H_MG0WBsl
z&yYBfr_Y1K{1e-XzRVDX@zT}AqA{GKn&cQpbE0uaw1LUm3~}|RblReVF;rZ?bIfv@
z72E!vY#)9)LujPjNxQMn2znR?zOvOYqu18QCIxIWgtl;H7JZf>Xq^<SRr|q!Z&G$i
zog_^Ya{To=v)>HhzD0A<Qx`harz+}9m`xJA#oNZkNd{2Se8J<8`YO#w{?14`>u<t)
zJlIa-tUg$3aGj3VU!vW97WGAkHcD*G<bB@Rq6Z1<SwV}n^EA?HTcDjACUPTt9yO8l
zAT4Cuf!*aZG&838Jv6JIM9nUXf~rJa7!bPJnJYC(^IIk6LMVd-Tfb;=;DiobeBKpX
z5kE=`Kjm=#naK}gXGq|l`z|_g#ftZq=cS)ChL!mk(Vu<9zr7E4s=d($JtTWniVn~o
zhwc)Qxz|JNtLmh6>1f03)#zL~>pt47p;^kIvM%Cx&Zms<A}t^@)qSc`{Yv}m+3#~%
zxP$1t_^WkRUJHyAZL;j%x6$gT!U7MPzYynF0*6HIZS<r0@>An1|Ir-E-cJ=b|3@$|
z<&!?jQh_ey$+urOnrVd-{SNf}pNQ)&_0CHLn&9qA-*Jz-ktUz)&*x;&LR_{!r*KYP
z6J*(BBhu~aXc@&3lFo166aI1JHN8p-(4@w_hy1H(gTGo-Y#W=1XHEW(#H}f?@Q=mj
zhHDvZi9LCiN$oB1D&Eaqx<msMSw)7}k3OOac02g7&ovM^7WJabo$8<@OJj`<yG;wh
zr^l;#8i@E{&ET8N>d>M2`1GX%7isPvuWt8`dPAi8^LBUXtHFp}k;m!vV+6-X^$)uY
z-VhtMtebX16?Sv=jy0}dA;u&P)n9DnwKvu4ZWgP6P<q6grOO?{bF;#+PvLKf#?*<i
zPqSng(VhOt{kVV_5WU3mVf_ukJ>j#R&xj0m<lE;0@*fiq&Pl_2Y#@9+pClV4Dg!U&
z?XrdDGlG3>+^(y(kw_kDKdjPCf&;Xz11faSiCbG9_l+;VC0N8}Zq-ppU=vUJd*ed|
z!Ily?`~BoQqWjayuD(l35bN$NRdKJ9pge804OVF;?ghm(9~@VNk{XxJ>6B_>gfoH3
zMzMt`IVK^f>!1jlGu(W7H)%v{&{W*G??>X;w9q!)7Ya}sTs3^%uZ~!2RpTFB`b2Pz
z4~^N#DL|?arC(2?p5Qdy+o$dOnGj976zY;84~BWW{M%>W5WoG!rPBU=Ax!eSj+t+g
zhiCDlbu$x<gi92uzp|m7=sVzMy$~q}!KGiK?F8Nt?#a0u_R>jg7r&J3x*`i~%y)LL
z9BC#zD+7PJ%zh<ysZWmVJ|_z?Y!@cN{<aW03*!0q-n|4b^@HB$zcTPY00030{|uLT
zI27I&hqGjf7|SqYHwJ^U&lm=CveUOsDN-tmieyWLpDd9*BBdggUD>l#>WCDj4W*K$
zLY5RF6n^vXz0Y&+J<q-Oeb2}C*hI_N!Po2)b|$A7QvGb@>ALGpk;)L1^YzyDpKsV<
zS6=_UxMq+Y(=A*rBBTsE|LyQsxzWjX+S>moz4{CLqzHFb(Iq8_a!^e85#G(Fg-n_z
zCwybiZL`@Bp{@kI`(|PuB)@0BlnYxMl`+g#=TWj3JD~`1f0J}6ogdgUM}sp3-+yNt
zJl>$`dqV*_D*5N^oO;>mT7JIn&g1NB4d1N!yX0Z<xZ)z8Y(Lv}{2YIb;w0NQ5Oh0*
z<-zHbbHV~~kex2VuPArr7yD&Oh}!Foa?s?YH*far3tLyzQ#xbIH2cX4EqQgCEF|Ro
z_heP^H#YOL|DzSd-|TaHR@!2EWgz3nhmuo`!|dhJ57|vy=GdZRf+>F5GGMOleLX;E
zlwEZ2TYXRdJlkmX`;ysMGVn07$KA8W*?nDsHdAJQ**D{a)18M&5R+vvdD3^1tv$2u
zQLy4NJHcX4+3){IK$7*^v8(MD+q5a?#`fY>pgGY~X>nf~ZtIw(2c4T{PiGWM?C|3T
z9q}v7em!X@Ilps%bntI>k#J2}#}Qr-yjVVTp;8JQg5Hr=uFkRNZ9}qmU*&^N$zHEL
zEGhV?tx@`KX`U_cK4qLHBnYyLX>DPziEzZ$R@C^`UpBdB*_#)IAnYhBDK>xzP7>F2
zXz9yr)pZL?ZcQSP%b!B^Qz60#eRnt4_$nY!eg2jRiGh3nwV0A2Nr+KsJ?wLj8;I!_
zLtTc%A)x*88Pf-n@LT(scl!fgaDI_F5HKwXcV3vbe=U)Ofu`!-*gt%5QY^D?!AKgc
z+`6us)=GlKz{~L{KS4NJtK+!tJ{bs||8D;JDhcs#Zsbd73q#~?TZJQ$a^MhkU1-vT
z2-D=G<OPN(eCzs|$e*eR-RJdQ7c>*0keYU1-Chi|LVZuK4OWJ%NrUcPaZ-@A{Yql3
ziUdSU<*pXlqyklQ%F9j{r9ode)VWui2;+fe-|9B2!l4zymc0uk&_3zMt>-HZ4TiCb
zgQ4oM|J3!Vk56P^`B7=X$~Q9n{g8Zt*rfrd??lkmMCF11v+oF3rW~Xm*e)vQv<|HP
z+~LohPz37(f4B2QD?)FS-{+wPZP>kh?VZ*GWjHA0rfs-W8KjCo^szqc!XW{-M86Rg
zSU9(@*g-%A+HA6I<gN7~Hm8y>5~~I~%aV6q>83*av(TdQQUh?NHa`7Rqyb-qvSM`a
zsR5m|I5Nvi2amZLE{)ymVXOSBRRiTTu&$Zxy0n1-kCm)P&%V)xDBX$l&O4eQWzp(A
zwb=+>T1@?VY+(S`Ws*!xiq^p<f!#Yxq?zzWD&p(#KRWEL?TFJz)dsQot1SXCOlU1}
zmb*U7gcJ1ZS`!+&(48RjMj?_3VnVl5mSjvp%zrDb_@^!`_If!#UN8c;wtz~~b~c2O
zt5-gy=z+`X0pjde1{CmJPYgHT0R0<7zC<qR!Ki#!m?)bLht{0L>kSt0ZFJikaRYt$
zl|=jgOv(UCWLrCg1gyZ}_)WW14SjIY(cWhptqTLx#Zn!zHO!}d@p0?ZgZ#3XRk@qA
z;P}<?-|GggA<iYy?yjRAa5JSXIviC&vufi?<Zc_lTIx(vqAs{ok}d{yD8RYq`3q-b
zZQzAbO0y_M2dt}n)b8X;K;8T;g)2Tb&?>)o>F>vNP}XWj_(<ddl_Zh*5RwfPrCiIt
z@2m+CChMfD2iw@COWs~<E?Yxdsm&#WDs_-&j=oCnTX=Nq(gp7=3s&%(ULTe5j|$Ev
zqFplC0+_xz-hR@KQ`f)H)jAFo5Okkva(+v|@(W#gHffeHIa>C<X1gNfbtfhrT`!3i
zOO{{MKU%;g;)(kun`B^LgUOAt^HRusEE+aVvjC=fYujQP5nd>qr2o|*VT&Ux;7`N`
zkTBs}4%8F_&(<}1BpMmVo#YoMzXJUJwR^{c(HfB1e!1MJl8jYZ$^Jf$0H;#QnhjrZ
z!}CVrdW~T+wgkDKh`!7QA3?sAi|gmv#-wq393-Pgd9Cb~8|Ltwn4Z}u^PT-FD&dDm
z0~r-|eLm*#&<r9b4jAM{SFyDp9~tZZ9~l#DH<c|-n8KDa&xmZs;3KkFTf_p3j1D6N
zgH$b3*ljCjvc-AoQB%@U%K0S{%5K_ee)tp%@_6~Ik~9|{t-e}d(9=f3Tjzsv_}`j<
zWJJF5W2sem!#=J_sepvpj$|%PBNIq57U&o@<H6hCY4*CAB>Y<Jo!(Ml3>ud{MmkCJ
z;h9ty=e%nql<eUR;8rq*XVH&>zm*AKL~h77=6w>nZ)09$-(<ooc2Q}Ps1W`*yeDdD
znuMNlZuUIunb1}>HS2D<7Rx2+Zn0Km+yz&=79SbG%qjBM%iBe<*5857UqQxzpz_?`
zyN%$&uND6dc?7)ic8{YkT?SvbD~a?jF@P!cb?|kD7|KL;uR75sgIn#3=k69U;7n=c
z&v)VCC^r^ZQj#Q#!FmO6vRxVQpxPv8+aU>5*4XzaWUm~aD*1SzS&9K%<^Baj4w9%l
z9Z;ZSBae2+Hg+8TNQdS5B=aFXA{tDGmrhzM;3OCI-#`H!%+J_8b(E7r!gw6-T~|dc
zZ;~RXgwY{l#_G#AA!&3APjXbZRKgpFuL}*h(qY4F>Mj9p5>9Ok8BzVBgnXVcj~%V)
z5dXobb6|yp^_B<8i}A`xvwBJKF{T4gbT8YEPX>=f{#3eVOu>%j^~V~RbeOg<x%Yx7
zi`)AWue|<A!LEBAW6v$=u!hZ~-O-jqbFa@PN~J3Jar#=BA!pxa1+~<!t@7w9zc2sQ
z5h_j}SYvbM3>{9Ku5#}RRX|P3;Gg#zsyMt-L(!_F!{c|~dHc!~@!65*%>&<6(P5sy
z{MIizyso~%;})cZyZr)pn&zqDWRdk>hB*VuzNd5yNhqW6tKwZF&g$qo^ha9g3InRx
z=g$1CQO5owd|#4yXt=*Q*GZh$2ntWn4mj_mpb1OgA~lzW3ft=5E{7U{t4QF_&^ZcL
z=eh;UuhT$JhxSD}7l(_}Cp?SNRq$!dLHi9iHPHQiKu^mBCd|Z3z8=@2VsfWOpx}xI
z5)*x$cj_2J1M$mEY9ke2YyJqmZLW#tU7KI5>o$h^9bTQn)~cB1?`~SZR}=a2!^D)L
zOu)m(Xsun7DuU0Or&cbSs4025{DuJw4wy!qIiaJ5n=H&u&~!9$bq4Y8(_t29cpAO5
zN>;<JR;4GjJ`J>vYk9i=vMG$`$!$;WQNsjHe^Bw%z@w^v{wHK@1_^m(L7t-OD4*=&
zqVbG|9eL$vT}I8IFyOzlY+ZHy9CvpvfscmEp$7$LBF#bM$i@A$#_F8^a;D}5RUPAQ
zr@1!@v4O_*P2!uDI`a3ljK-;}p?Kftrz_EHI2C@cXL_|d#vgb(ZYrsY{BgxR(cjr{
z$vt3a)-yG9A2mA4H>HBU%^vApvH<Zz)nT85)bMd?e9g`l3VsYPJa5JX_<Z#;!9iFJ
zX~#YKZ)PYXS7J_%lRZGCfL2Lgsw#5dC5%WPR>DG_o1r#a0EQ^ufs4GVSoUyOr7BJV
zA7~lZMLGcZJoegW=}pC<Qz9N$_Q;{Y6+BnN0(gGIuQ9Pz1vQsNG8VVXU|D`_dV>nU
zm=c4lo~(i=;?E1LIYGiSnQTe|4}g)6<K6-<3XY22{-)L<g|nh5v-|4V@X@f}k6f*c
zpJY2KrY(ucX3f_5?`4C5_t{Sc%Sw2`q^>V&Rsub0^8=md%|Z6yq<qPLN|>-|V^4OE
zINEPLHo=!@4pom{W}Y-xMD;|&rloN)<h{O4+g{onRLri%x%`sHtwFoZ($|Y&T-#9a
z!yGdh79ji)tdhf$dwTzxuMp6&f#=IRiWzLlzPDpdtSq+Y1ha1H5-?mthPNxv6jCn|
zGM#*7F!z&Zs8Nq74nB9!d9G>-v(22w&WDUzaT|iz8KPLOZ(d$nzyj{G#W(jxlF+Qt
zoqX!NDE`U3xPeV$f$y1w#J)Syc<X6F_rVrXtn9FfGAK2H=t%eHTc)M3)YiX%Pnv*#
zhv12vt_fH!^5g5xQrNoDn!<mOfWn%J7NK><&{18h_+K*-lL9YY-1?M&bqj|MKiXgn
zvRm6up4~!3=BSeDX0{lP5kE9;dc_3!Xh#>t8A&|j+g4rME{295jBTR!GofE-AG!RF
zB(7~sRf{_;j`MG3LaS$upphmje?MFjrAXd7TqFrB%6c_qc-{!Em{!%c9+E`!jTLLJ
z^hn@m-mG0N>y2RPSip^)?viM7(kbm<u_V5biX9Jn%>WCB`|D=|B{6K7H|=jC5pP;n
zW8WzT7zeB9)2~S4&7XV6;=`q|>_cJPv>F2@n<qP~yChL~Zb76nQX2UVc8!UBqC-qf
zw-H%|h+L@z!nunazJ85q%D+elZUI#qDTavU;Q?!@_sID5_=Jw)E;^jvvrzA|NW?Gg
z3STpS%3#Qjw4`}OI&4-foBR+Zg{K|}kN42!P*Y(@s`i&5NDRw)swqh0mDB!(m?V#*
z2V9Q~w;6K!O{+!e7t;7S`|A3c83kNYe4S3YZ3w?rdH4G!kx+l(1NkUj35TWXo7Y}8
z1XzOdUN<skr%mrRnODL$<vcDsQVgM=tLqJyr3@NNv?*hgGJcVmWS5*b1V8DAUHh1_
zc*5jKreqog$AfDQJiBHHpVGXQ9L?o0z}t;`%^?-cq#G?9t~CVhT(c7H9rAeA|KWLM
zQz`}ya%Eb4HUz~NY-_hu3i$4sV^$=G8=p6~XK{(sA>HDoqd<uwT8Zlz{}@+APc1`U
zaH2yj(?PZ{Pzkjv8$};JQbQw;6~E9zI?VgGC$E)O#)p(*pTQ(`^lWvs6BJ~CSmfq|
zbB)S4wylEsaSIJu8Q<&$Ll_Vte}FaQNx{L0JxXo78o0~$e&^0b2E@1JdnpoBFn>rc
zGOSPozv~t!o{l$yV_ZtQrFAM;|0C5q-ar$BQUniXsxiS%uzzlwD;0N!E9Lm+X`;}6
zS$p@_On7@%dnJFKisKFG*-f*WD9bV@kYbEsV4&AiIGMw-Ke610RJ2g841xkJOn~ZF
zSN)u*hDY`bK768~g)RE`e^jkz!Ec>iyo#x6_<)?3Ez75cU(!71Z#-u~VdklrO$%xm
z_)cN6uvQbP5dZ9Usww=o6yNw{vpV*u7p|Q!(L|+YlZ>UUX0SIcjmk_>$6q>zE^pE`
zaB$>!;7tK@kkDWz)ZbM{YbN{1gJv2A{_pSAhH7)*OV2yj)vS&?<aE@}z2xwJu_h~b
zGaHUXp35n%Q%8zc>+5|DYB;xSvV-!D4O@He<gKKtV@H$E`jiA!94fA@f5qYIa3#fu
zwN)J}j!H+X*i&&LT_rYiD?o9J=qLX<H9Wp$eeSh?9N*4Mdvy8%^u8&#-yWleuMg@8
zp1IB8>!8R1m$LvkqR}9;qKbTX^U4?ZDPfIq%$RE;K;!>Tc?Wr_VpOKPkRD3`t#x}w
zJz@bK-qjG;|B#ArmnRhFyJaz8k5MuNbJn+gRYzDu#S%V=(BLdGa({RqJL?KivQ8qc
z<3APDuhkjNN|MHgQvcE-j*pDGqujgVDQGWZxt&x)#QTSd7gE;(Tr6Agf)-`mIxm0X
zlDH&N4><O=*RkQet<u;mhyN_4m+=!t;&@{ER8z4%8&V1HjnYk(kT}v{b~IQFMGgiM
zrr(+aYwF?0j%5Wj<t?Eao+cpUv-6RBCv(U)HDbNHAdl_}+w7J1iejUHQEO7C8LWHY
zaxk7Lhx@t9&mLA2!OBfM3yjTX;2)pooir_j6l$a+pY2*)t`bOFY&C^79vcsjJtpI<
z)#q<1b;9V{xg@!0ZVGQNpLs?pC1I9B-cX&NFxDsf-qNUJ0d2Un%lNi5P8^92z3eTF
z2iEtPIO($BbYZQ2d#e=g@261S-4MpSZAawPIsDh=GB_>umxyNzG%cIfuEkK@`qA|?
z6JYia%gfjkk-WF-(!r9oC_%kv`K8bp7LIL&tO`ja8s67Q2o%A87L6}UH97s#hOs4W
zJxLTzK2%VDNEFEj4rdHiFyY>J7G-z41P)w{bt19}XjD1gK4`*(UA)(o;zA|xO(>7U
zfzJf2@m(bRcxD843w<sMRucHYcA{u0Neuf}S?h0eHG=8n)W%2^2^3N`{Or9+9Lal3
z;&)9m;Qb%RemSxP26pc`dRRdMCr*73+nB-tZeG1>2dNS``=-5Ra76-@1jX4QI-I<l
z%6se+XZ?lqtm(-qNjw~&a)bGf4w*iK5fUL1SYRLU>&b5-+BJOh8i=C9zopLF@@CHY
zW!}B06p+T$JA`MQbUF|NjN?6&B~eXN%1%I=gek5!Y{GvULUg?JpQ#Iyn0Wb8m%<@3
z22YKAcd9UiZ(%Y1S|lP~cXGRHUM7P|&bF4lrwn0fZ~Kd}3L<KoCM{hOl*7kDRM+eF
zhR|tHrY*Kt3JWI`bPP_)<K4zg2NM-T@P5iW86hW)My>9w!8rvKXuF#1#K+;hG-JE;
zPicHHLir$RrGy8ZUi1{q7y#dUdG-7*5^`rYN5~SDvEv78+plp0cpLm_Y3KzR<=Tzi
z2Yx7Hd$Q{9<(~#%{7yk9_`M7=bl+)&bWl+53*&d;DnmGZ%su$&j4T?L4|11Pso;UJ
z;Pw^;L)cdF!b(zE9^1+5et)@2#XVD}tJiPjj4#|C+UBN!8|FvSiRV<&>c;ris#rr<
z^<1w`nd60$UHQLW_^ToH7)zV*))20qm7d-osf0Q#=MQ2o>Ud_cYkqh=9S*2XE3N1&
z<74+T%SVi9`2E1;JtbG@aQuP2Oxky4bPlnr>=Dtx^ZO?Y(?|?h{an~RIG2Ljijk%x
zT^gvF5P37Ekdq@w2DBDu6}+Pm^QAUc6BF&Px~;V}f^N2Fo24if+06`B1w}1vS4m;9
z=8T~DXL5f~6BP^Y+ETkNYvGoI_n%y?X2Oe>>h^RWRs7}3wW?rJ3&WIeB-8$93{5<@
z!}8av;omQ&=?`Srp?lD!-5a)=04ZZuB>sjP8v8}Sch0!>*M5yM4Hjha{4^6)RY#Sl
z|81Kd*Fx_LE#%v)P2uVN=Ub&Os-u{e!nyHyE##&+XY&o1g5N-xb;YDQCMVX_9q0H+
zrhH7!ti}wkyS&|Jszbv=LGD+&Ir+kar$4Rwf97Dp({(vx2Mssvn|f+ts)6Gny;EaG
z9L`7Ut<u;_!$15xw&W<%@TD(T`GY<-Nbt@G$=cCyMfTSGz5$Mxv_)F&jQ}Xye^R#)
zX;|MM`_4R86(@`)zHbTu5Ds~FD)5Oqwlm^wTFF$boITwea2;UYPE`Fb=l--biQ>Jt
zDCk$P%9`~M;Csh?36X9!^s`j5v|6u>tvze5-FgY|anSvPudy1czTQi93sb}%Yo$)o
z8-T<wy4Efn4_QS&I9hvO4)2C){q$-D7*Kq*Z_jfoy50`BT|kw=uXSBhMdbi0b~J5+
zRa7huxmI@prBV6Xnj-ZSfap~|r0eTcP%?aHm0TtfbvpJv|IdTtuiL*|Y<5tvfm^N5
zx>y2l?lL$MuM1GW|38(>A<9^E{5`AYuNVf3CDkWRvVm_|b9>!Q&iho8dnKAoz^q3R
zQ^o#lD6Kp?@jgcps|m`h-_?p>Mybu{y9slU8|~c9;8Q>yf>PwJr^2XW8^49&ZVrP#
z7mviBk;4;f*u+nkLimaNckU*~3-Wa&(i#z2{QebL<tl6Nh~}f@3JWthMbUF))R1v^
zD8;UAuOPmysx7OiFa<X`iG72CB-AYrsAY@_pb0~3p+UhErb9P)+isRd`O$mh{*3~t
zum4HDBAEp{J-BlzR#IqR*_D$0Rsc60AC&rU*#yQXqNC7>h+}f;J|)V6_(Nzr7uDYc
z{6x+aNkvN{{cE&<PabDqQ4gD{VPnW0CXwDfmq4nFLi2T}HOOo^HsQL@7<{efhQf3t
zaPLQDp)p+{taSdw7yO9{jww0ahwg~upVZu_7y80DerjTigDVq+w+{?;TZv<e*=FBM
z&TH{q=58L@ej|8zMfD~BtQe}vyP7)ZieTf>gHmc<M)1)^<}AHY4C`->nRxIL&`QdF
zyl{pAhck9eT)!rUuUX#Qm!A=kNa(-z`78rW{_g6_xFCj??bR!*IP-mnxc~9VGT?Do
zQGQ^K7<Q%U{(T!Ej++GE>^NM@;rz8G^@>Mg*wov%*X9JLj={9G|8e^H(cFx;U7Yjm
zc6N#m50S(zUVql{E*nD4&mI2JAdb(|>oWM$h?wJR`)0hv5Qq%7<)G{0c&nh*HoQR!
zlS-asA9gc@<rKTfQ{obsHpljg`7MpNTYMBJNQO}TU3Qg!mIMYV>`l05K}LmC7uDI1
z2GAgGALVE$iD+(BSez$=vVCH_V)+JOb)jEY;j1JbS&C76BqN94om*;pPa1$+bLG$8
zd?NbY`ytEBmq#Jh$a|}I7=V<93gJqa6t1Dg{70}-#6Lx=%N<M%VDpD&C08$L%wL`K
zF*sBSyXQtWhiVx>J-A<z_9WrB$;mrs-IQ^}@8O%1Gy}NtX)L7d6sHea_+66VKtY?_
zi<@=y4In@^H|k@K4AKH^6;jPrFimdbz%_dV@ZOjgMeUKrxI?K7mN6AOkNE2~A2)!n
zeMzcaD)K1J<|i~URWbXHwnzb|uB@#Rg#HKxRQ*yr*lnVQxsSOnZJ02C9V-sC?|vv^
zQHGFrj;T88Uktw+Ze<AP+9N8D)+nLTKP~k<6B_<j{u4(nH-sO~k=b`oD&xm&V87JW
zzzq4=lGb%}P_i4<wqa9nMSs(+12USpGh@oTqLB`lnA4pgsDcg;*76BWYvPF8<fV=S
z4DfyGy5ifZf<xLJ7iTNAP{1;wF^$9lVo$w+8OL)oyt!+qwy(p46fEl>FoIzR&5Fjo
zs`zZn)%l_~>rifrCuXLe2`KYqp+Z^>cNH#O`9WQe3nEprjyc9~{%GK~i%-<hD>l4e
z*ls<thx=Wcl1(6I*QS<64|U`}VYa|vtVg2u!Q1~uvq0Bca@dc<{|Kv|<0IqiFln$e
z&N;*s<Qa3mBJMPN|I<Cj&TAbWPR+a8ddv*uYO)rL@6&LiW0^aqNDG5n==(LD%|XES
zxq`qS8X9in*7;YdiSh?9LdcK}_fx}mX-a6I>(ZLIO>r7naqxA&?mspd*`;R^Iex9B
zFD%maX;_%wmOSSK@V0?;O>u;V#f9Gu%<I)KFK?ex6^H+kr)|p4=g{!}AlVJ5s+cfy
z*>Ug#fU34vPA;8>1omRnn+O#&n6uba&a(j;&DLBAEK|ovc{5$PJ<2GmPkc5Yw*ihn
zX<7a)q>e(!pYnl|b7!_2?tP)U0d95rj@{j+hTb;orr4J9`13*74m-sSuz2T~<HKlG
z)Vi8#>S8N{|GbhurLNfk-><cQb1k6ag49)p@>ywAr+hTm90gc0-}82=Q3daN^Ojg}
z6R~z1t?cmwfO{FiOD|qhaIW*|ueDFbv7*X8O6nXyj-$B5O0O~|dA&<~-bKL1#uo7p
z_5gV=b-64ilrS%Np~PdS2woFP*Sf_AkZ~eC@Y#wYP8d)I-=7!4U+a@{UjB~_o{6k`
zA#?@QHMDqXy;%^$!!9Jf8!-ohiFxjha5?;Rq4d_@bNrZ4_f|D&lQ|SxN_<r4lR>9t
z;Q<wWK1?CadOxl(gSp|>hKIYz`1yUSYxsuMnDr{#b6(sGh{tU_9ezmTWgo{!ze;$~
zb5(7J`w3HsBAq8H=Srd3z{%EM9=v#q^6&jz4-53FKI^UaCt|pJ!0ZcmUR=4ipLD{U
z1w2lZEsXt=DDX@E$cG$W)NVLm9avxjvjab-la5KCmXUEvEMYa~r)-Jw5;K9L4<1$|
zUlzyUh8xOWm8<c1V5z|EGsa+6@Jv5?Kn$HW9#GQ^<3o#agO&IxCR{%~@g~Je49^eQ
z+)47`$AXJ5f0%kPLC`07M?*6KM-oCpY|aQ^@7Su0Kb-&79VB16YA*q6Z65W^R0`tf
z&qZ+~ZbtAez1q%0lz^?qhi#X+g;0ccPMtZ(fL2G*w71owIFrMz5#uk64xxm3$-@j#
z)jQAHby5^lxh`wjF0IAYQudXlGjwQVofE0{62-n*e34Wjia&=%7S^Ao!;epASDlU)
z#q;kU3$3XmpvR}qKX1u&sC*dLe4<ShGfz_=hnI+9<+aAHo*F}#)D7G3B1gc{5YgT}
zW#V{lXS_zNlOZ&QMJ2Kh6R@Y{PhTh}PyDhvd|K<D0VHR(d8%-{<u*vT+BPPM7q-%>
zsKo|QG&rdLizSBt2LJ&7{}h;aG}r$Z$8ECr-t%L9d_MO6TqG-@qJ%_5JE28L5+$o5
zGrn0BrBr0SZwO_iWEM>$G7=%;=lAbD_uO+{_ng=3@p!(hQ>tb_Nf?JC)N2Mkb>OJW
z=Y!ded}wI!;mfCB5iF*a^1T$%fqTKuGsfQh_?D+MH@i<19c!(Q9v;+&9213r-`oOt
zrITr8w~IJ_O|b9{DAb0&e+4=J-U*;ro!?^j7YY2~)G+IRRvY|fM?PoW7sRYt*|uBp
zQs@}2Jx1E44JQx(l^4tq!fW(&%M-RT$TaX^{xVG)%DC`Jah5P@4crauOOnOK(-e~+
z9c^fv9`%i{5JCSMhD*h<a+q=<TK>mIJ+rd4_U&g;BsmRl+7>5|uRUK$Y_ik_qaHq|
zAO&$$1f=#{S3ti<7w1;@YQw_Ju_D<p30xC13+^daMC<$)x@%XpVZCvjVcVD_D(wjz
z*w>(hQmr&~$Jg3WE5O{s79fp3i~sAI`mBsGYD=BU5;|Zk_WR4kk_>)L7kp<)N5aT!
zs%n*yI*@ABwKu9m78MSaee{!5#b*QCiddI*;6Ttd$K8c;Xv)*)dX=JvDrbzA#xLta
z*kbBFmuPuZj!n#zGyq9Jw!cuvKkgBa`Ze?*NJ+rJ%~t_WrF@a9RMkK#Q!L}RF+ETi
zvt<8lsfd=FCTR}znke94yL_QaA3P!#m*-@a@GpmduiZ0Eymv2PXLybQ^mu@!?6MLr
z^qxI30c6x56J{+p48dQ?QaZUs8E@X?biR^7M(2iizm8=YL5=hMaltqhq!e47lYdS|
z31vmAt7XP;!X+lgR-c5t$K|~`H~J^*0wy;%n?O_a1^p)-B&;~(AmDC5#+?lxzs-Cy
z1*fRTAL;E?F^D9q*^s1(i8ID3X7gs?d*#GGonlq=uFHrlxuby%a<5!3u9`#Z;kL5R
zUsTb$&s8%1lsa~DJz*7}qk+Hafb^k7RdjZF@UD?t4P%>Ke|QG~<S>6?(;8L9?ZNf?
zy+TPSE=gmKY6h^-DLhnGriyzi(pfJ&RmKNg7ynudTEKsTz82TFsUje|V#fzXq;Ngq
zHg~dsV5>cY)vrltye+>aazP%|$c?>Krz{})uyzl>5((c*zB-%DBZuFAW!b;JVgWYQ
z|NKLIRFL`CQ6c*y(s-bDVwYip1?V*L1s;h}M%kOs-p`MU<MBdUf6s6W@XW7f{+FtR
z-?~K9M{bK?d4JQhRZk0$b!A`nN>xOotnArscLY(biY%Z&u>f&~?QM8j0q0mf?$0mr
z;rKS!u!Ti{Mq5c^sWbA}L@C?NY{!E$;W?LYJOkKyjLnlRP!4CGQS)rJa$o{Q;2ixi
zfKcZxH_|<1aekSz;NTxt+_XTw%_$2|-WRK!TPlq<VXPPanK7f*l>1m(HVsBai#+w7
zN#d4I3w<5JjL7HxHBD{a9D-clU(M|o$9vPpOMJofSatNjrcHL{Fq39>++RctUqsll
z9^Ooc{?an1|7M#(^yEq-Z>R_=^+)b;T3#atPf|Me{W1lSEBzDjTL^UxJPYqgt`Xt>
zv4Y!dOu;YXfzI1hL1YZn{VG2AkC@pN^fu|X38Z30{PGR~tnnZX<x8v)Iz_aHb$^Y4
zMbfkXm_9$=_1>$v-mykZe%jG$?QRUA)$&{yjQEh_=EWBuKCcrj8k@LJ*BF8Gw|Xvp
zPhKn?vAE)PhYm>=_3z{5jG$UhxwyfY2Py8J_SWa<@u%xzY0*_f@LMu9JF&=xZ25*`
zD<>H6;|rUYlgkDWy?MF5X_6BkR^Wl1F^s6G!7CDU!~ovZ&#LkXapHEn_hs^rnQ*)&
zGuPppK6uf&ystaKf$|skGK(xT<0(hAfuz0qAigQ!oyRIWdaY-j{BJiaW+|lC>=@RA
zU$<Y9A3tTsxG?|yLtSjxbFs*w+*c1oZuq9PWU}KztK#qpUv@Ng*t6C!sSDXg@|-{J
zvg00;0a7$KCnht7{dsU!7j~MoC_VVXjz2fol;!nuVe$7y!(2{XaN1K2E5L#0w{bN*
zt>wWysU4#Y1v>C9fyTzr!htC(UO&%$;YH^ws#kVf>Og+>`&0<##HtHzc0U&Qusz!6
zV&RB3oN6<-j<nvG+r2ODkE8%DbMRhYP1FW4o~ZN=Gj6PKa2{sdEr<@r+Nt&C+90f%
zh37qaaM-oyNLYywo+Y-pcrH-k)WmQ$j|(r3w#puE;Ss@H*^%43E2tpMnz3BN%7-&8
zA<t}*M6qO(&nf$}R9G@UyI%K>4?h_b`qm_IRM#EU`(#6f&tkO?@*nf#nN;C3Uq48o
z%!{*=A7!XO>VAc5#RAwPZ_v(mUkc~GoI0z>K!p+=Gp3*lLHxY#V(yYAgAV>$VHGnJ
z$O#EzN$L^8g@<)6^PRGIUhPIn;SUPrHl#fn<`%()l6c<A&vMAyG8&-wivrR0*0)-`
zMKNNj@cqcTJbqLmDb%o1;q|)rj_6h~{L4He5u>h%CcdHr_sCSJ>!z|X+ex6RuQWTm
zuM&n{dS#ImKm~GgPtecLl6Zf#ipw@%8LtiABj}${;llW(ET1H4jP5wVXE&;XEV-M^
za)q?v$a8bO2vu2>-5I*9tEq|wQe7N#*R)|~o%QuwK{@1#?i11vQp5e(lT&`uI*?~$
zeO-@D9(T@JSoxQ#Bg4>qu|(?z_chA#IlTg^WTa-k=+nUT^VN&pS9L*?bL9ERngTZF
zG^H6$Y9f<mLt^zoJ@_DZ>_+LTBL0j`G;1Fs<Af{STT>r>U{|IY1S~4yv&Lr+TMM<2
zoqy`uzzGA$G}deFolwT*I9lQ@NeUh(rKB(1G=#(j9TDw!Drmzu5+-LuLEBA=b=B=g
zQ1`C)FqDw+AW5;1cN+yiy*@U;#%lt7a{pOg3{b^e(PuK+G$~kRlh7XJZVHya<M@uV
zt6{!Ff#8=GEj(Oc`Q~B185o(@D?PfZhWn~+viW@?<5+u;;oi^Ya3{glDPmL&8@EtZ
z3<@-{BT}d<k_F&4yG7$SVRf9ov5CB2QUkRVL)LSW01jL0{Nxi?N8j5oY?@rukdSY`
z`-0U13UG4wt!XtpeKCA0)`f(2ulzIH4{vbcSHSd@8*1p={-(%IT^Wb+&z+BcZUJ%J
zcNng6ZS?c-ef~G2fPt}T+wRX;z(L*P1&=*d@v)Kk>$36<z6@!UOK@9)y?L^yUn~iq
z_t$a$_g5N!6%Xm&5we8obU{1jWEG4oWcYfwMI3Ksw@-X$wFI&A+(UOGm2rHmZS3o?
zFe*0qT#_5J0F7In2kSkQu<*>Re2KFFMtt$BUU_N(;qQkgD%2FQ)73k}P=y!C?$~aA
z+5$ND+^(*ilSdMDa#uhnI})$@wv}mG!1u5F1J6B|LyyYVpdncnoaQOd`0xS1VLR<O
zYm6*rN$#-yWyXMy4tA^x#{jG}?fSl_Od6vu>ayITtPznS8nwGg08D!)XcGq|@tj+s
zfSUO-QBrIldFciXbiT~7+FFU@LU$&sY2*TNy<hS1mR@tnDa|~UY_{Q@aj|f+V~z-~
zvsPRYF^BP~ch)yNgt1=j>X9JEU&KH>OOc9)8RWPWjxgL7#BK%Vim25Y;;A6xiP1b$
zaP!?6l+GrA(lRX7_NFt0icitl>JJlmxjN-!eTxrE_fPK7Pn;pXy^mIy(Kmtax18R-
zj=UI_ODbO6H%r(CY)jycGluk(%7RQsZd_WrJmInH7x5-f|8&Zb5fnM)D#>i&#2>l&
z22mMvgtbBQXuN?D_=!HLpO0ck_wUg;6Jqm3(aQEV`ZPm$_%Zx)#9ubF8*ycn=v*KK
z6w)*omkgkp^u(L(AuE>q*gEJwSR~{NzCQ5XX8^q{#oA+;EXegf=4tVhW#V8)><i;|
zec<cAYLQyajEtotts_G##00~x=}^-R4^(@9>=`>Vo~9Vw5hkq>t<^C{IUnhPl#R&w
z&2dav5x&d*s2v@?*;-(~tf~iPCj%A2C`@>cw;?+|i5}%#cG66Wb)lrcsbPwa30r3)
z4(u6Yz=Y`({~nSq=xW|P9=FJd42e5ZoVGI|<x<Arn+H1JAv`jk!q0?K>GWv+ju{VM
zTk$hA(t)o1Vr%!EnUJo$-q7tJD~9y4Ybdm8gIkJO`@3=`45>cn%rCwP+py&7eUA;F
zzx6`NLz@{-6g0il9b?A>r3bhcepBH<;4|OZ_sm$e1|RCWIq{TJd7?%N74Ek1H>KQS
z!Bnl|*G9f_W3%d?%y=Ct6gMnhNIK7oi`^<L90|Pm=eP%*^9KsB@(*6Q9K(kDe=c1(
zS;L1UZHB_PaTHjZ@*4AbunA+wKhVX}3*f8qp#M&oQlO4w_0HA}UjG?k*{iir5EVB~
zxLHkU!BgdHT$RT;@otHUg7<(B9tg-jKXhCRRI(Np9oV_?(%&ugOvgp=M9ve3d3r6l
zkXBnZ(ZPc!Zv6^bmlwmWTQ{9#EF{B>$PBa7@P?nXc(n>IisR32yQ-!=WZ<JyOSk>W
zhj%U~Mt%AziEU3gbPSZp5cK`)X*zxZjP?;#DPoqvkEb8{6|s=vfwxZC4QD}I`qC(`
zk}r#MhX-Gm)04qhE}35Bt`OSQY|*^=Rt{@luFE)zk%6C;Di9$lg8ZVw+eQQwFuUK`
zvBQ}R?w@Y`mwI0m`D6lG_5~<n0V8|q(0ww9BwL^FcN52iP{YLsuaz+Vz|Q6fvKIX9
z5jc8MS`u^Ay`{=bRFG6YyLIuS78FG8tfpg-#@)LOn=L9y7$eqNH{?YD71@29W^}Tc
zm=k_q(?|{D57PGC8Kc0JBb0mV9CCP?e%NfNMjb!3yd=$Cqe8IML|~7+JjR?2dPg(V
z#CQ0<^U-!~NIrdy?xCduu1t+zy<bSiX^vM`9tJwFhyJllYoH>&w~}%0Th>BG`mwTF
zQ(eg9+N_Y8qJ-qG;<a-(D7eXCe5_)_uMD$}#1vL3qwaQt&~<()-fe%L_N`bS{%NJ@
z*7vJmU|Y3AdJq*avn(zg+++xj1&%jcCP}E?yh(QdT`C6dRp_`AZ3M5s?MYglP{sE7
z!{?ZuP|-4XM>iXn30T{iQDokzp<1STux<hsnHTEmC>!sR<jsP~)?{@YH&6-lBU8~W
zg1LlE+Z<jF*(<*#X&}$Il+n%%3i{`nlsZ+?VAx#4zcG0uFRlDaW6s$)S9kahnN)!M
z;xW>mMh&dkKfu_u!8J%d>r$a_0j0S@=CidL_|*D-SI};C3<x;LwyntmrZx+083@xr
zC7v7f``Sp@Bx&3>u5Sq!q>89F=rmBwYmc3xpfX0B7~THqswI>U`)z;YsE$I+lb+A*
z6)?5@r?*6dC8Ykok!c#JhQVEp|6*fhks&Xlkblq;a?Z`Knz*SVCC1#%__+l7zZ@OP
z=&^)|<EtM6WH$0+e?CiHtuV4Q#}=elZp^9Gf5qRfjHzMls-aYVv<p|zExKq4wsXDA
z&3;NK9^)1=;lzni4#K4sW|mMtVfD1*mjZ^IZ`-fx%#8oB+{rEbVF4qqYw;h>$z!JS
zzK`{-YeaoU`DfZy3$R@d7HwjYLpp)IH@O)Xh_;&g=(|c5aQ3xCN1471#u+nDu((VR
z5@WCHifRC^a}M6mJ|~HF+eSxwWj+!SZc=PVoB+6oS_=w4i(&1b%a1hN8;QYNyT|vu
zq=7Wc3Ptpo2tG-(-%eLhN}J8OrtC3g4sis-mea~YcxOwCy3TAXttQW`_O_@w_<qXe
zsNxX7`Jv)_^9^rl6tVb#UAAT*boR%ai_&~(eW?x(D7~jWRR1nudfpVSKm7Y^ww4=p
zZ(Hs3H+oO|Cs&jBsL}-XJjy6*y}^NY^L};S(eG&8-@IFg7mZ;~K|p8`*>L&v)bN>)
zoiufNYWWK@V_-Oxa+K4I1<NL$y;pqDOuPL^NZ&l(2)ISOtGSt&aPm8&?W|xmt+8N4
zM|IE;IJZ<?e9p^&{hi~dGeob`Yz|CtIa3TFY)|BuaxXgExZp{<zCI#ctWUI`ziI%^
zm*o?-xBVkh^N+`hKW-vam+jpmCiS7gHC>OxW`!{M^w7@Uy^9dCZ*rA&)`z%~lw*U6
z%LEPz-_1VMyRof@I{MG`;6g;N)iaMpqQ7WcetXPEBDQ1xY?`tj*vAaEI(=IpM0uNP
zg13Jm#?H<3OWe|hIF&lG^pkm_z=uy-=D>HNfE==1z@-bjbO`hPEx(DWl`Yg)kz+*d
zAh)65WgYnJzUPaY$Zw)cVqcNooe5&|MRiXnCLI|3^hVGocaAXc?)YufGey+bO}o)9
zX~Sv)_i4M`b3|u)$HdsRS)x>@nYU|`Hdsa_JB3-y5w^JX-Xrrlg6vghH@m?jYc_@6
z_il59OUNYoKe~D1ddK#}6e%jav0t*Ezd1+L$omSF^eqtAetTJ!lv3a^o&9#9e{%#W
zYxkLzmPO*F$*UH18U-er!hWz_{Y_+lI0sU_%S3R++r66iv><frHeE7po`{oD**(Cr
zN=V(@LGJuWhFa-sjz`262(=Lo3kUBtLftc3&0Lra9%DcBHO2oB8dl+3PoAX1Qy$Ng
zuefP~yyoLS?v{&0LSbHNbtgR%#Z3ZjIT|4T_s{6A>q|s-{BF8T8%8|-=R>l>Pjygm
z9nfOs`Ab~#7j5+W%!Hq;7v-8Q)WPA5j#oqF3K4%Jw5c?k1-rsza~5*dU}f{Kg}urD
zh{nq@rCXxd@M&k@bv7n7_~=iWC1<Y_PBLm|wk5Hnp`_2qkswtti|7uxFhhsAOmSP(
zJ2`RpV>_18F%q0}cM?h?Ghl9CPJ4<4586})v!4hcL7_#P6kcP*WbUd!%SB$i@=iZ5
z{+9~8wRU7G<6*`ftzCYqNBJ>ic|ve8Rt3W7U%YUvWWiTmk1K7M1@UB7<K>?u6(GXm
z4)tDUL!K+}^J0S#Zi(hPG}NyQF=Cy*wK43-_dqzQuUG_2DntD*-%<u6ovSAwKjK8W
zFXbsvC5FD?l!~>3$}n;9N?$%d4`!xIX_x+yz~QF+-Wn%msAJB^eAB~=4?k{>9PpRM
zW1a)C_qHm7NUzh%5#Zl=*IwQf-SFt}@-$Z?KV>ivp3<^x6TnPzz-r5k9Bv@a_F$$m
z{P-_M(EW@MMw9AxN1al@$nFX8kH3{6d|Pb7O*;`JC-a$5MV0V;R=V=1P!&*SQt(U%
zF>G3~S6%H^#x*8>p%cm^@JLf!N!=@fGnFTQ%oLN5f%ppsoT}i&cdJXLKngzu#<5l=
ztD%0Du;)p#8tk|3vpCNti%aQT6UOlxDC$#txb=oQJUi#*I^-gUH&>PS(XNoud*)#8
z+7?YX$C#&7Un-Bls-?fanS#06D`Bx)wP05JauXq}h>?2UcgD@ASn=GA`m=`u>@i(K
zJ_$<rFt285RYe<7OjfT`R~t??+lF_uso-c`R%Q3HHr@(%5AA5wfw*A3?`@YzI63<6
z&)pIo6u9J?+i*b-{syPK3SCjf%XHc)og`f}Kd7JEf5-r4x7Z1s*{6<cp{-N9j_KmK
zHMw!+v=IbZ*A1%N(?I^M@s7$H^^ES4(y&|;xEDCMb*fzxf4f^KE6M2MuKh=}S-Z@j
zv_UlCQ!N>HmZTjk3Dd!3_qTz{D>N{ibP7p5riE$8Sf@&(weiQRA1Mkf7ErcL-jcar
z3p@9^uRJlN;={p^n7fM>aQs7x+s$8Exa1v&|D3dNLR4*QSF0t+L||0cGcA-~Q&;RK
z)G<pfP;@cK3i9k*q#0DSaD3;cX_GM(JbKN$lwsNmgbSa(@U|vn0)1WT`bMr){+%_~
zXS^9)U!9`0iE5(%l!U7Rqb&0F2{r||ZwAd1PBFUo)$yI?s#MYyQA~`t6nApm3^xg-
z>1S+e$fbBzfv<=Ub2}_=sYq@Hs_glqbaN8Ul}|d_(X--6SU|+%b}P`o^7V@S9%bZw
zKJDyCED;p118HmrtiYAs%_D2WyRxsH@v%z&Ky=RZ3C&Df!c}SeZq877)YzK3YE>~z
zn{oZp<#W^$lm@rZ2gl3e=G6jQ(ECkG;tY1(IcfprE{uQUJf!fq%L_SSu2ou<H@j=T
zmjwv?Ogus962qkLEW?5h^kB7jm`$P=KsV`ad+b?ZBo}lXEy-Yn{4&S62QC07*VkKw
zy#z3LIkHDyju~FJ7z8TZp+UV)7enKDUi`6d{5Cx&3sgz3YxS0z!_zg}voTd1*oEAG
zq9a+L?)oeK6*PmFf*R}UGc0(e{(a){EEcdW2`;_%$rOyEPM@00WWZnF{LZ_aV}a#>
zFA+Lyrtsx;Resr_e?)a`n%5613*=Y-dF^9t0uyBG!HY-#5V;U8^rD*?Y!@6TXF`qP
ztI?NZ;hM9AvV(DX^HFBFSNAmFU6m1tZ@SL1NF5;}&#^guW#6cut=ZbmXaqJtnX{MA
z^b(%#_l2V>m|*PA8?i}OL(mm}q0?CVn2-$B`^<if3EsVI^vHZ*0BTPU^>&?YrWuxq
z^}ErS;QfCBFHdqAfXQm^)1<2dG`{-%X{%~XaBq^MTKJ?sd=GCL%rpH)d)3zTt5Amt
zc4hgK4L|AueG^Zismu==zk8L`HV-D4p7AhAchG~*d5wy$%hR+X>4c}J?l3_v%foUy
z)P=u1_680uzi3)_rmS~xF+-D?z^koBy5OgD<kXzvJZ*h4;N{N@W{@iy5#3v<1ANX;
zwbTOs(2_!<tjz6MAVVUtLDpCY=o7#G2~J<4vF#9^bdX^Me<hBE_!rs$A%`F5)c>Vr
zD-7D{iL-&-u<z4!M{SUrtMVN9zDldh(k-+y-2`G(@j2&VD*Q7!G5(%!opy(NY;``C
z9k`C>eR>&8g_q(N`T~pS;P}gCU8YqI_)=({!^=&DPm_*ky*lY3=xtQhu^cX7tUamV
zRz`uX?2GYIOpFkB_teYNM|q%FU-f*83kAOC&D<EX-`LA{y@xw1c_DjNJ#WjR7L4xc
zbo*Jz4EGKD_x*Uw2Sb1Ojvsf^f*spWg}8~b!m?f&GXt9dyqh>S-THzIUp7U3b1q~9
z&D$2HRvv<o!zwIfVoU~WrkGX^XLjH#kFpHx5Q1we@}!Tb3BDqyA_)mjNNjn2#CV?w
zh;a3LEN<|<lkMV>G7fG?_Kb1ABqRpZ%DZI2H4W&$WXYMt#|y(Z8#!5L#39*c;=o#^
z2FTtB`&XvT2jP<kruR%sf<(1SOlPbHv}`dK?m5H{Mw|7*h6QDy=1|-Axg#3j`{pTI
zR*e9xocW~G@<<kp9DQW<j%vWzi=tx}l!ah`wQuFflpN$ABy}`j(SYch-ET)rg`wa5
z@_l_X1rVQqn+LBnU|_)7eBMbEy14U4PUR_r;{1$zk%lH5o?9%q#48SO4-D+=5mE-a
zYvhAI&ox2#!*}4Ek$_f}X>Zvq6}Tzv^iU^+44&r%Lk>+!!Qh%cMNCr_?laj2OZ#ep
zZd#>}AA>B&ONaECw5UPc>g1s0W(v5Ey%ByaDF<EM(!7`VYk*3i)L_j51$vJqol>`w
z2fT3F%<iuy^xiOVAhl9~7JhE=L9hbcwdkAwdqE3~#`6kP>$Ks;a%ia2eML~}c_^82
zngSQ{tpYlFbYMKkDb{#Y39LB91onzkVZA`3P>5d-QWH<97RjhUZb2pgpZx#-Q#8}(
zozRC4G3KAIT}V*>xzZ<{MH_Z-|HyZoHUJ(sgxOG4@N8bX9Rk|$nlNfxx?}{rv(aVA
zF=~*xGveZQTWvTnB2-~Z*~pu+J~El1>X28pE5<}r8~nU_YMy>Gg;;r;uWg_Kdxe_0
zp_B?<TS|R8Z<xcpeaIfIVGURfdr?GUq{3^N?`ysi0H$d>wC-&1e1@YVc3GMNJ0mUl
zm4*RiW5SdUhiJm_2XE(`*vXI;(b8g_u#u;V0;V7D*95`1EcxDWb+AeZlGKp31c}Se
zM!)zq;o$R2jn<_kNb=a?e(k0u<XI$`OI*|d%S(?LIv*>6qDe>Is~?tNWd7ma?MihB
z+5Fi0#eI4Bu=V~;AxSH!);ZiwdZq?T1DbvjzB1rhM@m1eX$4WYNJd(*s!)()8|C{%
z3|?C0q}a<^!QWkk^AQROs*QCI)&>cJn1flK%aSE1oZm)3y)t;IeYoBc$OArhk8InY
zTY_wBN2sik5)^1EPyZ5Tg^1G6zLp0qL3gcPS>T=mphE9A@~?H;_T$UU;vANc?0a;@
zMNA$7+n71)dFN@(IZ4(#?pQ$X`gj#{qAbjr=M6-3f2V!i|HR5$&jJ!hX-{n=r9tw2
zgQ2~BGc7AD@jOoxfKB?WK)a~~%uQJ4R`|6NCD(^5(l_|UR~S-xKSmUG%k`Yd_8cPe
zu1jn;BxrD}PnxA;NeJ3Q_VV4l`<+nJk`uW$Y!07q&17h13xHSZMQyXFabhqb$F`cm
z9Ii|yq-vhv14hGUotW$i;(q`D0RR6Kn0GkV-y6qmnb~_h9^-j<tjFG;+sH~wgrcaF
zBo&oHStTi@=v$#sR*RBK#OH3H>?ER8B0Dm(`}zHQU+227_c_<O&-?v4pXmJ;i#07l
zDKw|!*`Oe3)p6~c-Zo77GnLNIcw0c9W&f!#S3Y?0hx_TA;4m5Qkw$%%Vh(D#XOzVx
zSApwaGdY+WB$v!gM~0fsp#DAc!%sa<7}S5ye&2O~6l1d328o$Llj2*)<5_G#XAL(v
z?bt^Oa-I3L<YNj7SO4pq@nV5(QztIeFZYlP&RZH=ADV#P0hZ<T;zi<$XYK0qm%GV5
zr_R)xu$cgb)up{ncaAuA?Ad^*<~Q=sn5_I}Z)4aeJF)3Cb%t=CQkoqz?jZMZjKuFL
zHv$)@`<1LGCy6#hr;pyPWD=)rzM-NKm@M@$z8Q=Y$!7n&dtIBz-K_6Q63!Yzy)FBN
z%IHzTt#Fu-TvttQd+6n@HDv&sbSlP*HHV37f6VVc_AMu8k}ch5b{jzcwp^cn?*U>|
zrP=M<bT0Ww*`TegLm&2C7rL~Lt&f-qYj-*udxePFahGL_t3F)MYRfsax|dM9$<{Xz
z_k`eX|FJ2rQ4iv_22gh&|4FDk-#r%5gM?KEFEwes9xz;M{wvh$CcgivOHhAPLwuYc
zG#LHBgtr4H%b12gh{~r~86OTc61KwQ-bJ2F_>f!HK>hQLFkU(|R&=U`FkdUFTl!NM
zdOs=uF&OM3{8rDTL&Yaz;CNU4_(5GD6Q4G^Id>89^;>2Qmp&7d9k(Cav*<$dIomzD
zyj{fWf9JOUaQI4K_D`WTG#!{1bXl}i>LREPHUgOUoe)qn2<_dh4O&qd9#_wG5$${5
z3%|YGO*HMha?l}O3$_I6I5k*(BkoOH*B9H}L#Qb!D!Ei@!WYLi#a)))i9&+gHF(1>
zV(;^)j+O-meDn(9i?jJbynWT_P4Vg{*qxr3R9Z3M+u1GKzVdVvi@O6im&6YejuQrM
zlkpnh@~4J>&2%?mpFPC8+%-%{g?Nm5wW@<8f7yvEoIQl%o}u#^{-eb4i|5F%YU;3S
z=ru*jqL)~w5fK(}`492qFl+0+Q*^ixl87y7zX+(|_h4H+L3~xzWu5G#!AM>9VL_FC
z;@@P>Q-h*O!a;F+Sg-{Rh^fiPuR8|_Edw8Em1EO{b@|+p_S<TZJu2m~@AVK-WdB%c
zbHHEXlEDe8j-VQ#;-~Eb-$w|8p}S8C6Xyt(DwoWYr&K}7E#*H~!!bh9cxf!{=K>+}
z-q!i!qzdr8y?KuK^@pg9IXT91Y?;tW6>xP9RsrdrQ4?F&2_kmGmW;w&7LZTXySZvq
z8Q%Ik?C1M6NqC<3-`8)z1_HX0ayFqW^@Yv#o3p2hbCMr+ri`$Ia+z<s`7#w$x8Fd!
z^M8q0>BnCdnmNHDIFh;k5*3Cu_)H@6=Lpu_s@GfkxZ&eQ>Ak~hRETbN5s_S2AZ)Ge
z2Tk;OVeh;w+^$jr7vs$Cvh&MC0!zS~s&amKa^urR)gUFf?(yG`rXm)2m17~37{3~R
z?)WV1Dysxrwtg9?w_*c{UB7L4)(HcHUGu(aD+P`$H~mPSVTZDDfzaY*5ilDQJ<7OF
zfnwF9H(FmfA&UrLU;H8lg(4*fUj<NrA|N6pFwPCzE_^)yVL$?SkH?LVI#9sogTjt6
z3tq@yZTte%rQvsn#~Wc23Z(IDNE>*=53=K2>vm<!LhjLpT22cJ6wqdNd7NJjzf2O2
zTDdDguXD7yxd#Q*eaK&dF2c}QqQ>c*LxHEX%K6453J9DSIv_MB0%1X$N;VQy=!t(H
zmeWgtkhN>3PBe-EwPtNl&!RFIc$Gy)`6<DXqOafgHA%n&|EczbE>*C#{t_+AM}?W+
zY{@&9rJ%32BJsly8f+hMzGN{-1y&_y@(~|dh%STf84eBj<RRAkghK^-luh~<f6K$)
z=xy=4>@{K7d9-iCUR8+pxUz%pNr6=l{DxFBwShnMF!4Z^1|LF|X!kxS0qf_mqx86y
zdA8c{;-jWI+~{Ev%YMpGu<>*5z2{8mKOC~*PA&tuYP7#?=TZd@zuCDby?Ssc_kdg1
zC2epOD?1xjrUvoRyOR?C=|h<A(Bp%1x?pKyUnF^)4*M3T7?KMH@X<$$zBr%<MpMzH
z<3<{Qe;-w=y)y*A2jL~g;)d|Augc@t2m=(KyKEHSVg!9!DUHvL8-tBQkj;<tTJZhx
z$IST@BVc<jbx?@M3_Rwz9nNs+z=%Y}i|rvs(4hIP-sPDEyfx$>vQpCp_c6CZ&tHZR
z;=nGu7)Zdhz(=RnJYBH%j8$*!GXSsVu>5o`Yw&9x4>+}?3tvN9hqfQr2R>SF)Ml^&
zzKs3h>?%xfD+=Eln!|*slor0HZnj|7wdaP01QYmH-S{%Qpbc*}7|lH~wgdSN-u;d(
zx}b6UvhOiV4d`jQ<y!Q^4n{9eZ#wOz3)()x@6#MrLCiyRZN%C&a8Nj9>HH2I*!JW^
zw~-eGo>{(aDLlRgT<`WrWjxaY`k_O=Upq;{RhKa#jRR}Ib}C{k<sAdEyA3QNJp_Pw
zut;HLu7P3JdXu(Xby({XMNzd|BogAit)(07AR_$PvqnD}fWm4{>+078byasv-FiE?
zr}TTTl7K2WpXj|f#x_av%3O1;dua=LvL(9~pHacw*rd6agALcM&+7}O*uv3Yp`XQr
zDDbN5C$~)MDr{5{a`%e1fj~I6Fcc&Qk;yab3PJ>M^V7wDA>Gyx=RL#2VJ-!4H!y+?
zjtF7drOf@}4lCz8Ss{DeMGP7XQ+=-76vo1c0OL(h05Y7;+)&9E0=vGntzPaT=yukh
z)qF*Esn-_W#WY^%_KrOr`&<O;)w31$*b{L4QS8O!Qyjo<vwPzG7ZLPoT?e-7tsp_v
zw_#>riO@~c&}jK2f>3@-*u~!xDDhmk<Ax@QQv*gXPCpgF?R=gWLlP|@P=46Apz9Y=
z>RvgWbXEjKw`6voe`yY<%Tvla*lUPIVX=^JD|)Pt9z1<;-V8p|X$JqiKaiWcBEGBA
zSNi<jHO^ye1{=FhX3X6BMW%9dZ?fhPLHnhEj6GLP;WFdbTG7luq^r=<-Lz3*%=yG6
zS@OpO*4@1ypz(E@jNH~^bYe&t3pArI+PRs)#@z{PJJaXME>i81-MlawA7toVAdR7O
zqvIX6iDfdsqGfZrq6n5MbEYWh8N=hxrghhjv*OH-PsbF!Meyuhr=t7!jo|X5$uExX
z?D&J~nBnzE1ljj4Ni8vqR{TQKn^lq%`7!9Pn7k;KT#^o(EH(sLw#HLDRa|)A^-N>y
zZBe9r35_`oh9Fo{6fd}E6?%#Hrg7MaVOgkH+>2HNcrM+-&}QMqVy^rI_60E<e=N4M
z@Sp))?^k)sc7qQ;zt}&*XcWicBM($A3mbsw7n#LELjj!5xhL0NE`hc;-u7je>4V=u
z`;);=L0oit``72KB-*^J)Yadw4{z8MO5*H=P%|{yN@73?S6^Fo>z=Yc6fh%vSn0yp
zK1^+Jp~;|n`8_gb<sItCsWpBjDuRLySF$W(WwD^=j<Q3c9>nI`1PAkpqV0jxF>G^k
zxXX5VcV^7W`pRm?1tBriE_atsI<J6C`3Fk&JM>`ZPEqM2D&m-}koVtPISQVioxdyS
zs0TKsXNFxJCGg;d+%6SXCEQt(#O$@ugVpk9>!~Lt@xPMDZubc#yeVpF{@zLtu021w
z>&_b~G^d7q3Lm4Q(mxpZw35^29%j03kdwi5Wjj-^zsmUOOaK}L>%jr<PL2&{Wzq56
zi5$CCs_0vga7_M|9(>ty>`efNJjQheZsnn<VeLSWT*G%gaJ#_G9KE7|@moahw3*Xz
zw`Zkpgn>S^XgT0VDGEk$80^*Xq+{~t%xUMF`tY6S?Ah&O6qFB6VBjHje3hks-9**^
zK4e!IHP<QOy%tu(_-GB}plc7Z78yYKB~F8g2ULtsk8;U~Vc;#FjCZ_VhCuC!60^Ca
zjDv4Im3$9qqS!6@zn0QQkn{DH_~pYY7=1)K`n-h}wnin@438RtUx}=&_eNE$Wn41}
z=-0xm$wP8?KN~|4+um6!T@A;-%IuWeqm9nZl`49zCQy*L_5IS68n&d`hOK_AjcQFY
z=I-B2!8E&|y||c$<`Z_I{;#z0O|Rn5p$Rj<FzRTVHyyQF>E9DBYvYLc;Jfeq77!U?
z$}&4jM^%}8YN@<7a?*QVxv5!#dtXLH^KNylwXpDx->rp39G+oqCRR}4BEX0(Q^&p{
ztB00*HSyY=<f!|W1RU`t`x{5paYJ|PAz=*$uDemzA}tA!swwi=bxs|xF;%BUO4Koc
zruK#w3$U}m!{yO8b&PcAnEEM5$BDvy5j(p8js}Pyf0Ut)_Sz!D%JyoQpEWc1Ud<X#
z*)IQHXP}NLd$(to?@>YJ4~<4rKGq=RpPlz0pN>}qoz~5tq++{tszqazHEfnTA+a<^
zL%9iB^sDO>)Ko6msC~&AI@hm`U#~;MxkyjGgfsH!v*W!a?SeHJvQI_1yQpE6X}@hR
zp9~tE65gVB+!`tqJ)JbSsA9)U3eBul0`m^r3~9Ps!$V>B9ipx(=-pYqDt}NEzv}$l
zprvXJ&q7C(jn^n+b*hzLx2rIQ1>Yllh5%B|c%D0DK*hpEZTebOLEL$txYv;fK+>sG
zyH%8M^kP8x{f)dBxNzxZnm545q|jAAR_^Bs1NO3AO5E6ZpU-Hw0D$;w+LLSz1vF3n
zW~h?Hf$hFmuZJHcpn}avW7$LwmpkVMRnM|v?~B&pt~x95&r(b_@sq(*e|;8RSy}PW
zGtop|iWNK@U%xLcPYRod?#%{u{v%I+^?y+qY6-I9Ip>4<B(bjb>0$p9%Ve$=yOGp8
z3()v#(MGu}j?y%C<g8jE<2S7vTccnB-zV;k?JyC;9|cn!in&Xq<<X|2Gsn!~Vy(!a
z6{{%jmvD2o<X9%(T)&d>w8aeMOqQ(OhlTO2bLoqwre$&?|E%W#(+vEH;SFD>h49KN
zQAzsjKhn)qsk|-K6nq|!oOrJ&gkp6ziaMn%xNG~kV9A0Bh;Mr;S=%IteblEzLf2R^
zD}9@L?j92;DP!7{-w?o03EP%1l?`J8THUHY8N+A(O_`6<_%X%X%G0xu9d`yjh|_X1
zhK$vf_ZOP@&{e9PwWpf{ljLRj$IuAE9bXyp8uOujlTD+IHWzkhu_!BA8bOop(ZXX5
zyr|3}!VpX0Ms97{pC2m>A^54&5wXj>Sjb-Ic~yu9KR#Y)P_s1zB@6Lqvr)XL;PFZ~
zIiD9j{4ME54F(V;^zBsibzY2#W!-M?#gA!m)igD412|m2Ho&c8rH^Y+^$waKR=E-k
z>K}bL()Q9P(0WA=*FE3gJVMyE(SO?KoIX5zWKqT0%!hgT&znvO2_qxb;-3UvACyj|
zu77r#ACG2C9M4(t-*sckgIDYIptdL{#eIhWx-aKXm24Kpd!c&5x?y_YdV`V0?kk8c
z;e4wkQp9lQmr_?Jx*l{bjQdf~uEr`y$!dcEar{M}7<2!@1knvaGx>o+c-YtIWTcxU
z#!Q^N^EHzReY$cbMXJL1a7)U_+72m{jeON|d@mE$Usl$mPYYwk_ZrQCFd5Y9b!`1=
z%!Hl1+ZAtjh+qqMaX}DM4xgrK8ny~Ep@q(xQu<L81)SC%d(NeRE{<f^ni*Zl`?Fq}
zr&kPRw%+jAG^>a$P8I!zeY()mtFx%iCxM$*{n<iiSHg6(@2g(n^ny#_2X8q^;#aj%
zA6Y3X=GGQEnf=y<^*SN8?=qz@!GYqt%S;*XOC$u3aWUcMZOd0}0x~!^w&XV)pn{uc
zrr-H8nV?@D;#-^|i+6GY2!Y$Gc*1KWQX!ZLds@{Mf9c9&qJAnK=}|+61(T~)l}u>7
zyW?n7uL6pOD2KCZ(2-AbY;r<H4<6Z9iJsg-!9#;4yY3!V$8+^wLd@HGzz^J?c<q!h
zDWmh>_NN+nu;%B(@5cI|Y#yWSZA!(V!V#%|qYOOH_jggOUmxtW4t(5Wpp50N-AZdE
zwUEvmA%Fal0o2I_?oZWI!T#p=`)5?Ov7lb|qj;(z6xuxc^judJza7qLs2A43MDc$I
znU{?~qSEi?Dux=e?Oza_Yu3RN8cQ+adB)(juWBt#o`$o_v#rlHb#d-(>*>KJ6JSJH
zxoEM`arVYYB)L%+J>Sb8P2n|z?ia;{wXJj<T(Y--mAXUdUfRQr<}gMk$cJ81#~AhK
z`X-t#T5q0ZTurwCozHPqH#9X+M)bDKoqIa?bmk$E-D3%Lu2pq&c^a6uew}>gBW?Up
zlXLC}g@E>p*G~7%X<+h8%cYPNKMLg;)-G285Xzd~o}t7*)g7|Rv-J!NHkj_!xeuUc
z>o9drmVrjE+Y+0m)G@CjMRh>Y8oVur_9pac;I=Q-BDI4w<j=ltJiOu;lPUH|3$Yp)
zaMER9wp<l`j#Q>=zPASM!<^!uCe$&$xF;|!QW=#ZUp%}!Zw)u~JDX3Ksw3-d3)esk
zC3HHO{9llm4G_bw>KC@raqrHEpKl}-@Z7z|Ge;$DU?jYB{q5~E)EpPM*6>>zH|^WA
z?h>aBB+9uo|8Z1X$seKX)`&_VOB#=f<O&zqH1s!2P*kxnJ!#vf|3onKvfDd+U=1#<
zz%KP$8D(Rnqd8bs<E?-I1)u%a5MI&Nf9eSp?|n9_sn6%ZlTTIC@2~9Fp8e;|$`eXB
zF1J>>ONkS8<IT&B>H+pYj`{n_j)K*7iEIDtX2l;3=`Sop0q$OAdFann!1U7hb-Sw;
z$zmU_^1BiMt`GPx_m9h>ykV`ayXY)A5-ojD>JR~B))_A6W@+5ep0o3D(iGV>n>FF^
z*a}R#O?`JYOJbmYnaZ@l1UVfQ>{dTv39IwjT&kwTv74oXG8_DdoXFZ;C}Ly@s%bp>
z16E>4-~DEbzuXvUEPtR_DbfOJ_vL4J7KvcuQ0yqzjZt#kq0FGD${ad)PCxEhBaDJ&
znYWeY$4I+ZTded&&B5hT>L9WTVNB!1{XUC7<mYKYmD$~95cslk@4+_$=nWS}TWrV4
zp}l1(v~p7r_laAMe#eJ{3h8o&DHA07Gp&|ZaZ|8gojPs3nioqSaA;{NOp$mb{T#<p
z6NnrQ^5b6Ny6=3+PhWLTlWY)uwRk0`nRe!8N^IuFrGCblE3f{N3p<>R+rSt`?KM>2
zI&xt=8)rax!yLJPf25fILnCOZJ05lZFekpCNpjmSERaJc?>D+D7{UFQHm8+pIWWW1
z<ZO`BGU>r}i#s#L5MH0H%8J>*ftz?Dng+J9V7`9bR!adxn0r%2`@77JTi4%~eRqcy
z%XyP6b<P{WR?4EkavMA9%og3+v&4q|#rjIe1q{G@-E9WzM|M2I7Qp5d$bpU$Rmqf8
zeR#m-;oCRKjt;81Pq&P4V*bE^b|Xc7IQX(z{<JX%>Zz~<Hk{$c`I3gxrWIaT=H2n^
zR|W_Er1mcxneyN!xh4m0TRq_QwVMf6=0pVv1$RFlKBQH+^s;_sf_PR)XGbk3_8ei4
z@|fdC^<<8{zfUk>eBf`7ehL@9WPk8t8~<udIP@%*O`ZwWy+ZO|BDqoO&Xbxyw}mjJ
zrr$TdN*6B1kG6y-tisM8f@N=7g)vfoPjr2#F6^e8O>;lz!MOCf#Iq~B_REs}iwRv9
z7F6!ey<E{@9P)}(j}k*>;PZ#4t979CT!(;oEI+Q_y2yHKK^!~$>UoEqb%6Tp%Gzor
zK}=(7+3_h=5>2J`wvT<&hTj2|iDg5p@pXPhR<VmT#>R*{i=Ea6h6zEB8xz9ux6YmO
zDzX@IDJw<RLL1x;72gbI5y5@xhc{R&%A?aJO0WQrHe?-;xoWL0iq#y7XBsRN@mTG;
zyTorTD7C6jliM$boMH;vmLvt+<@gEjVJ%2ypMNe=BaUwa6T|ISxXJJ4t>`^m+TiTD
zO+m&=5+kmUNmv^zqe4shrwVIr;D{j>XPc$a`bbSrK#~e>3o6Q#%hra4)!rYqqGj+&
z^mFgcldAZnPtNZ$T?Y;w`dikrRu2FD8&0a;L&MAKVjB*A)dBX8XB8s!70}H%^X2(o
zI_e4C3QhObh1^8%5l&eO9>42QLIh~w&Lg+ON>=>zld>Ln4P6Pf*mb2<Mi{6z|NUpd
zH6~PCm7YIkO~sDlf!Ub=Eu^M(Z}IlkgR{}JAAGx%QEf13q5YFK`YV)FSUTy$nM6C&
zl*Iq%>Yn{nF<sR5+gr%9*#N?usK0_rRPklOPaC;=y0~V^H!|*|A;>tU+KPWw!?_Oo
zVhc4UuDz+?re0$Nv<Sy0jYS%keHutgj$vY{LFDL=rU_8qlubqms^gHfk)hsGCYmlh
zB7fgC1;q%+Qs>veJ?9dL`Z6Y(INVzsWNZ#=YEFFX{;h%TJVGb+lb9HF<;gm--U9OM
zysh;gFwoSnV;7G)6BUgGw%y!e1w&e!cFqu*SU;fsXJe8s?km#2eXW;(u|PMA>f4%V
zDYIeM^DrIEJGN18ARk~;uSj=9lO|epO*;;UXrWzv`JLa+){rt;IB@H=CPwFl$w#jE
zm}6$lNB6cB-icX5l!t3#c`AQ}>lr$lGV&UX>}^2a`ltP+Sq45yndA<sQAIYMNN3UO
zHqhaFDUp|8;3WadNxpe1x=nagu-4hYmMexqa+_ED)MQ%hv;hUzf6rXb`ECO*Po2Ku
zWv-55iFI}RBxP{}^U{g=b{o*NeD&+}KN@zJ`vlu6NucW~dk>!HHsB&2N#iR}!#}Cv
zrtz7=$UX6si2eV6*R7~aF_x<MdeW3T$(9dQLtxtu6B{UcaF?q8P8lP%4mp4D;lKuA
zp5^49))2ZBe!pr171^TAmzt!PNEQ0<k;+(WxDY4RJl9FVkQmCBfrLrYTRV5Hyqq;`
zN$cw8`>ue_AeZfj{p2k#_aL9g0DdZ!JB3x`aG0)?pI6dO7MupIJUal9tzph`7o_oR
zT*<Z17oL;i8NzWEMFivq?@C`ICy75U#yDKHFDF*XHcrpAS;65~vI^hY#gO-p(<bSY
zjRZ%oyQwjo72Nvc7FdWPI252PzlPRI6lyj^iRf9vj-c0}rtL!b`Lnd!e`alj-Nb{d
zCVMSlA^Nf0yrCcp7YXL33AGWGH?JG9-!=ywG1=c+#rcr+s6j%tMk~R3_}a(IKg|FR
ziR^E6T!k-xwG9YNHxs4J(_>%hX0TkNyS=@R6MLCLPj_8<PdMsteem{(DJ=01-*&yh
zj-o@s&(7qM#6O86PO{Y|kl1?V`uKfTbj##3ymmf^NSUk&eIRE7quDJD>5KnJt`|1j
z&lVMsx|PZ@Hph)237IyU5=-R0<>JZYFRw_JoU$YNpN&AA@Go^wn<rINpRm?q19^D9
z{ms1<4iat4jo%wJOXkJZdNh1*CBp*jbQJOpp=_{M%lqXFnY!kEwP$Z9x$dW(_-8Rg
zxO;0SIqW!1u6gF$Page2=1m=DdlGK|VPh==SLLTjVoT+PgAqNXoOn`r(xN`R9O}NB
zt3OG46(|0Ea;A?Atd4r<bW9(vZuEPvb7q2!rkuOweSMJZrZF`dCiS58&>r5^D>>ug
z+c2f|r6Z&nLo<!#s2(^>(Br;VkCTkzmogiN$4Gy+#0yPxOt^8OskFavoa7FzRGLa3
zCok(4ZKlUE;cCdHRIS(J<V5<#h%DDhQjPW5-vt3CDEQrX*|5CQ$FSz%1^H?6@%FP;
zRyTElXf(_|=QlydX&n9ZjpZ-dd~#RqFCAT|$zVQzFf>6r4yw`ES?5UG-o(t$=XIdk
zsH;uv#w6+I-?_Pvx<HC?bH2M-sSWYHP0XC2DY7uC%He0=64{dF*C02m1(6ea4Hf>=
zWYWQxtyACrkvCQL3;UXAfnD7EP3to=By#MWSZl+IryKJIBce1R^Eq~&tN%-$i#fD^
z{1F=(dAeC9H!#3M?as-4mUE<&(TB~2RvgH3t{}3O$^e%u75$9Pc~Z&c8o@rsiE3|M
zSpuRopn#?B;?>+ma>EBr$tP9Zs1oAUQ`(~r4SuF6ziuy+9I<U2@2YvQpy+at@<w%d
zoW6F|NFWQkvW%Bpo8iML$E_546&*~sI~;Y(X2sgPRfns+1kriZga7u}(qS-5aVOtj
zHoO8R7CGTU*t7YK!JRr9@QcNF76)@+zh3q(-F{)bb%Hk1u$=~q-bb(M@^RsG!i4<#
zqoO!*LyF3~tOf&VrV52k+_;!1__c>7jvkZD?&tT^;QHB)(rY9S)?FJb9b=WmL&72<
zr}n79#$Nv&H@@*<d<8QloJ$&qw&ewR>Z?KA)DzAdx`Mc<lS(~fB8zEDc0{(Q8az;Z
znAqkmgf<z$Cco3<(L6bqONCbrV&+qSago9(la_WuMT&yy6-;l2j2iq8009603|DtJ
z)qfP0z4sp3u5od%y}##PWVEhOk?fXHQprw9LlKb?3YAbqWrVt)L}i9#|77owJ@fPL
zc|OnQIp=-O`@ZM3dyGbQfDirtJDlklCXIs5+`ABOp#Y8ISra`Y{HSW_#PRxV86+rZ
zv;Rku0<bBZf0XcA5WTeMP0vV`LybXY*I77l;Bbs)VLDY9bv30=k|+u&PvuyaP!SFW
zS9tm?3Pn+}s_9JyDMd7Y>qY5}TZ#}F=S2vg5=Z^QEYE!zl~Mh4W6hOhC14IXr}E^G
zBmxd?h4_Ce=$}<?dg_!iBsVzGw9iPPC_|dY?LBJ9XK%#z&)ax-XeoCj-Ao4Q=$BA`
z(GieYLR#NIfEw8JXX-wBEsM^7U#I=Ohlr#OZ8$o+5WsuK(?3~S9vM5T4?kTbBFbu%
zx6fN59PV4H(t4_Zezy{zFtuo)0}qJ{Y&x3oxp8*#o}?lY?Fd_py|0P%S_h6aO=>}p
zeoF{GO$h~e{gscG&_Xq}rrZ_vI#7Q4YXLut3L1<&tNJHE3pK4*RF<{rfnq-S-!Er8
za@gTmU%sz}LhGgN`PK};b8n^Gbet+GkTD+3v)4k0-#c45sTu=`9Ppocf*Q&bWe(%7
z*F;wr<3mc_FqrqTN#u1@N7Ba8jydBR=(~83?{5U)$e(=td5=2cf5l>9Tuel*fyIN@
zt4NShq93BmNI;Z%vHgka1T;DEEp{c93`zY{C#EOWQDmjy*XBVyTK8Y)8l{**-Tg25
z*hO{3S;)T@!KH*;3!)8ddQIVH`8(-*&()B6$non0UU_tzCMjK8#|#XRa7*o7Ra9>?
zu3^qEjn?f8?-aS2L2OJym7X#l)yEW58Usa9n?>K)Cs#8tbGJ#)iC0E(O=~fpc6=z3
z_(3;K&kVeTCTpyk6cPEmAno~97IY*#IcRdu6lN6hEzMI3$WWR~rjoQxJ$18ptuMwD
zg2jZucU2Bm*WZ<Q$sM6a@s@lF6)}Zl_>0w=J2J>?kfKrkyB(tlb&ZSd&TE^}UKz(O
zjf%IezZ7Ns#W1Hn0vj(G($?!Mlqh?V3zsJouf`^Jf9nfd*c}phF@9-pED}X~9WcQg
zDtjO~euVsB2Vm;7xk0g+5DKbk+Ndn2gOqZoe(xZF$}>-=wRri_L}b@n?TZXR(6Z>6
zoW&rbnSF6soCmE4t^A~1X9QhF{=*|nCct(?wChg;I~r}$i`V030-euHX;&Cbz{`ex
zCas$Zy^A4_-o}`qFIsY}SjrgmFKy0#cBVs*l9StgRG6UDthCvBpAj54T!dTs|EPwV
zV#fuh8DaLYo!W;hhEOw7DXHVVN=<nvE<}oFggS@LM#n+}V61jI`h9kuN@n_V;WwTU
zltZgLZq4aK#~*11R*NxeM`1~MejNjFP5YXq=;=e8?r3_^f1T8a@Bdl=PC&80m-{gQ
zO$l4x`W-!3`dyg8das1adG-3ybwvg^wzX<6H=qmLb@+$DhrePL-wztRTBQfE_Wago
z#=5ZRVkZ58t_Qou(o#`2Ko3QMb20*1I>2aiB>Y|3FcuYY)RJ+W9+qRvsq(BkFy56l
z5ZX40sYnJ)P}vzEQ_557VW2iBJu_1?^PR(5|IYi}wq*dp3j<`i87)X|(!Y0`vVh4x
z?kag%#Q?@pqyuj~wcs}4)|ueyB}^@W0k3bx2zeKxJS2uR!TeALla$aZ7AK;23^o|S
zCdK+E#Zwd5hK7X>9AC%w`}(SVZD9iXJ6IrTS_2qP-LeyUu!$+UD_@>&Vg{q18DW0{
zG=N^8=(hT08_VunZeLwsfnnFB(@snpKzi3b*zs=%GblB>e2T;dmI<t<pQaOGnTMK`
zB)bQ2mTYGxE7)ONLw2iGhY08Z?S0lGwBTA(dnw3`6XtBE$3!~_kiSFKBF54|E|g@y
z6yt_plyt{}U;-S^qiuKWrH6K=3->Nd@&GlJ>3+Q&0Ztbi%zZUt1g|LO&PZckc)oK&
z{C1u?obxrIdtJf=Z{_%3+Fj*?p7B1;RRMK~ezLFA*op<FMken>H1mVw>{4X=12wR1
zuTXot!3vhm8h_uL2|{vspr(ni8sJ>mqD`CFVd}-sc3!U#oM`lmxl^PHw+=7H5o<WX
zbs?}-;E@RMgZQSIqbe9x+&SWMksF@wy;hLsF9yx)=L)TaRN)MR=Qe*5540CNZ!EbY
z0qaZE-#<*^VVah!ysecNz9f9DOL-~@)r-Ml9PN0>_;yD~R)HT9A6jMIUXz04PuW=_
z-FT2-@eIG3C;%cdU*r|EWuU<SSBJnB9zHua1&Hhwf_D4FJclS*Xs8*H&jeNYIxK%r
zs74rCreo!;C*&X^i~B-VzA7jOPYmO4i^8i)<_cdY1qgq1Kd#9{4aB?h|7D*MhoXCD
z;vIkEU|Zk+LDU{~coFq?3x8@aL~KWwCip5rZCYed-KshW`*{(ZF)667i(s*(Re@FF
z-3)R90g6PhR-A)05K>Pl+a=@S8@5!gZAAoCC$rU);WAL=+U}eqrv|B?g<6^=HNagw
zl~VCq7QX5Av&LqsgS_BlVur9LlrN+?DG$m)=iGzq=o$frSRc)w)zX4g{dI$KAq6O5
z8h<P=N(5de)$>FC+AzJOT@tb%2Xg&#n_4Nm`}f=J@_{xTunf_BkP@H>7bPb&?H7n}
zPQ-mu>F_SE1<BcmA1Z<ApMpVVX$@FAhskaY>w_{!!xS!A8Pu%08logLpg3SeQ0DHg
z&XD*eHN#ZEisP!+sUadHS_{QYY8k_?6N=8~jqos;CxSWo5P=ZS_;jGx1Tq?H#SEM9
z@N0k>{;MFse`ihpmg)hR*~x2+E2;u1?uQ$HmO2Eg*~Ho{0X!a$V%M=&1@DnCV(w{G
zU|CQ~ee;+E&XkYo-Kwe(8f}Na)TIpjDK1(M6v&`A!<Jgth6m(A>NDd|gykbv$GH>9
za7!_a!P@{2mvKbXuD$X=Ii#qtGC&4inc<0uvnp_fONKiYCj(Ap0Ycx|P2q=96B>6{
zhU)fLw!b6xf~%*0YlW~WQ0I;F<cUgPEWp^-x-AUtk!dX6Os1fFGfnMxFAfGKUSgBu
zd|*FnHy_kT1}2iAf~k)Jq`Lb}TNH3YVq+WK-gGjM;<qxwr{%z_qapBWAtMa34>o+T
zCPUAeu?cf`SvaD$S751h2eV4EP>Px%LHPyBso*YY5SiawKkT@K-P7=RbvTLy^J3#i
z=j?X(O<c`3&uR>t*A~ig5+(sdxmss(g#-`?7whMFeqd=|<=)um0&rF}r?Ab40wTYv
zeH~Ci4gP1!aYz>+lHmWY&rBF<O+Hs-{OX{V5;{+3$6zqmz@nF0Cjj3L%N~tm8l>_+
z`zA5_#soHGg!Q&V`GEbBR`;VvBUEJ}eaoc|V{meo`e^9N15@TPZt=lmRB{YQbSj-O
zXda3WelWH>zo1w57}q$J!zeuan2r&=So3^N^kM_exc<>2*<;j=Umr7_E*Qc<w6I;9
z1v4Dzz5x#Yqg1w7y^LqO{-wq&Hq#Nz0IeQ<Kk+5QR4<wPp-fBq&|_@N{CArcj?-qj
zc0C%T`rOueOu_V__$+hExds}jD(ii{<I_)#e8p#H5~l~WA!iR&RBU4+%TMgVqnoNC
z{OVN9m@WkWl->DtVgvibCnp)A(@vdHS{m6T=|bCMtFGent61(#jA9>CGxbV9WX%3-
z9q3~w)H_ZrVP{>K+5b?#P&FQE50RO4z{r*-E%MU>RxrPAKI8n3TEL=rzrar$zG=<g
zP9LAgBFYxes<v2TZ!5jYPW@UCUa;lzxnveQ^XSLU2aR`F;Kw#!If@qCStyn(lbXTy
z<<su#X{yF%ZoDY`U8@P48M4Byd#128e9oaLY6GTvh1tOy(}euQ)X@_MCa|b$Tw(J@
zZCLF$`_-3K8c;tNXr#P6hM94W9O{hfz(Oo5x&w_hV1g<*8nG~nG4h$0@qFpQGQ}H9
zzkJ^1@kQ7BG)ALX#Er0LivRktu~;o<zg@jrEXHNT){kIkg1YhxGY2sSQ_irn?F10d
z7Ew1z8NnW0c=xHgVHk_>{q3LZPJq}3k2d|x5v+4ALw%EB49jvT^KKtk2MU`~ePRCy
zHc;kbVq!mmrQ|tAKjBsfUY%%(3d$%ZdW_msNS(saRuaV*Qv-jaoZ4ecyY>4%rN#UI
zU_T|Jmt`-jLfLf{dAsjpSi5IJ*~-ow7MfGRoL7j4lou&OSmQWG<N42^`r==#d-QeX
z*sKbqG_I<jrkTVn#A;)P|1DsVrBC)XXsH0BW<f;lsVS`Nb5a)N)e=Vg=7hIZgfbx3
z<s8<3)7Y(GTo4wrg3(@a5_M=*f>%@AhhiK4U?qmLy4si4u<X=t*cwg=Do*0Q*tO1K
z>>}>xcv3bn1>sPt%1uS!`{DBMHp^}wj#qd^=eDq`2_ktkV>p<3>oXp2y?|Y^UJYUn
z-@%B*oNr<d;$WI7LF{PZB6d~Z#NwX(9?%k!o?WU?01|6dd$sN|mbviU{Z=6@bWz?3
zoK{l+N$}24nOeaj_6hIJJxLE+4HSCmTzT*aSv5agw}#y*F*>uR!w4pi>*fL#<w5rB
z`6TD=-92wLv+Fh4<=HbYt*$q6@ZVF9Cv=kA7_aDO2cckAcwd(`U1K5#12d6l&pqA2
z#Os;@dj7D(M1$ppv0t*VQZ79rP1pmj|5o39e98r!%H>OJ0kZJPj^Z=@juu*u?XV16
z^MG~xne$pwvM?QUsVUr<9{9_{hX~WWkVFWaNd6@QkHT<QlQkJ3S*m_h{XIW4$j&9c
zO_qUc-7OQCE;F3_Zl2+nCkUhe^;FoLm4UEK#?LLjtUz~6>f4iMVMsk__cq%~2Hr%T
z{65pm4wdyP7Uywda9ZdFotcRYm}D)M2HxU=TlaKthm}b{zY_8B@!j|ORmFGr>GOd6
z!!v?{Bq>OGW>TGgUIwIxR#}SLcwy$k);6J58gBeu#X{f8fTG$SKi-G@(0T0Uu+%wO
zc-;TiOi@%8D%;(HXM+S`KkJ`%H&uDKu4AhF>Xj^v5O0p(yDtnH4w7{#JUB>lJW{ga
zD+fewQQhVSQFv6OKm~p!(0(Y+HE~uR%y8SQn|cz^F<MVF*HD4y?*s}AUMPUM+QDN1
z?UE4A;LIAm>w{{(eXMTy-5mWX^wFC`($JT8^N{E6oyX}dUaZTk3{p*60ZHFwAdQ;T
z!>~qxu=6EcQDi)P`lGLwY%d2K+{I*8K@I3)u_ow^sKIHHNy?rDc`*FZM2V8u1pS(3
zSJe#yY<C6fMyKGw!o9psQA`UGJ$*5UN)6cYn_cH5D*^Z0?;k67^KiWn<5A8MEeN?+
zDRpsF8BV6Q{Ybi@4Nt{7+T4eA;DX!SfyAr3zRWFSez!v#TyK-oO-%IRK98wY;<PH%
zo4AS-I<>*Kwjivg+z>8xFY%Hz)uBF9N}y=>?zh~*EObaFP!(!*Z%L8>?($muv)*Ze
zc%#MoS62WRIR2;PIsx1?3L86aX~Jehp5N6t62v>b3;I+}fc5-4U5RT%P_!?d`kPIL
zJvW%l0}uh;GZmvIK>|DzRX-nh-xQip96IWfM1ZPCDp5yfR3KyR{xLZ-GdLj5|H{{Z
z06*$4ylHU3f#J>1UYs>%!1L>+3(;8}zWLfq&3u#rAr`AcjjZOtJXttEUQmS}!#$r`
zE{TI^@~OyvQFBl;vDYD*;KAiXbOhlaAC%1;EfU-?gSZF$u~%)Bq2gr??n)^$^kzEs
z-YDA5(L5uTF-D3IIHyVDQ@4WI3h^o%SeU_k^2OrkTnd1O_~Xw-Ctx$j@SiNdnS!R&
zC2D@REEF_xch&MPP^-(V8HV&s;h-?XRLV<fFzj{k7oyOhXix33v0WVA?qgvkGE0J$
zuI>xlAqI3jfcbAJD;YxQ`4c;4Md9d+5p$J)EQo{C{iyL}5=6h{GveeDf^Fsk{itDf
zwD0}>eG)?eu0FJ+7k+#&{;-G7<p(E1KQ6KTwFd}sW#2z4#0@&<SaP@5xRAf^*DL&4
z7=)Z@4e@7Z1@&8t9s4c0QP}Fj^0DV8@XXBlb@CN@i1Q7Uh;-pb_>9)5fD&U^5w^&8
zZ2X7SKKJ)#x8+77_m|zi|1^SDo+Ig(3zo6DzWB5(0ynxAc_Yc|pCLH%zAH{xo5CWJ
z_l)b&aU;6A{xnZ5Lnvy@zgqIJ3p=c@E;^dSh026(d_tEEfM64QmpMC)nms09yNAMs
z_+^%>AAiz^??>Ou^;&mRnHexk7IrQ)#klYq$D<FTt{b60^~b3ePVJnZhd7bIWy!^I
zZ#`%ZhzPvoHczD^@?BW#=0r~X`M;`~bYbPq+2^m`Em3{(&(XhSPNcq7!}C!`7qm&z
zXTQBzqb61G=g=B(p&7=-I;R{R*ifyXsI}apDv7+baLwgH@<r0bqvARs#-+>a^LmH+
zsYTt=PnsKL%$eH+rf9<nN1fUi7xtj0Smn+uQQU~}GN1GdQEiA|8>&9LN{fOv+dR5x
zc#t~dW4e}XEnswc?Okw*9<{v~BFQB3AP=XCsx5*R<Qrtf$xkt$y2~p6^<uoJuArgU
zWcS{Pq{>wAx-ud5e`zlh==o6FU$>MGE}DR^W4&>thZ%8QBJB(f@u6taG0{vKO}I*Z
zea`D7D|*~!bkMJtALa7&%IV~4K-&+Kl81lTkb7Xpwb@w#)Wdv9to5h{TzaNHLXG7>
zmtz=*c5@r*Dd{}g&8`8fBg&`q&A8Bex|fD;&k3W_mR}zm>WNU(yea5)mm3WixNKc)
z6G6u>+9nvr69K#R?zee34{{Cm!qGa2A$iB@Q|+!q5aPU~5O9MRDRf_to7xsf-PxiH
zP6kA977N$$P3A*|Q4Z5#pZB6ZZ+FM{dx?<p;Im)&Cw^3#`uf3ujTE}}O?$SFlL)as
zJ-%IQ0!ZJj@1?>KX{0Qx)w9S(gcq`sv7r`1C|fj%UC>Piv1&OtXbTY`!Qjht%~!&R
zAc(p<!eo(6mRr^qkqE_}92c(1iJ~0Yb7A5y<<MmtPm!vVM9BJ4nRMr!7@A>PSY_>%
zM_h+x+BegPAU(q;&T?D=rBA<L78SxF{LhuCgR?}4c~qgJ$s>tAUI@RpdQ1_~xUy@J
zcJVA@4vwlnFNKb`>vMajDxsebSL_b`(g1vVFHP7<X(Ud*{@l1j85P~TGWf|y6K=LN
zCCb~%Ap4=M|CE^V=x4qYZ>)qCG(1XiFFz=Y9Df&DbmLSJIcq<`bV3W*d;I9rt>w_n
z#UJ|1cr`Re@Gtz@s11j+?gnM<lSd|%YLPaa>L|aMtfW=11C?oxp<BiZh%fSMl}@!f
zqC1nh^SWObm~NU5*y3^M{?5A4SxExg40anNFzLgCMZ3Fo?25=Qn6Adzn1CoDU2>6_
z0p#ME1SNYE(K26l#GnoV{fSDuD|f>X@+vP-hGUh`4dbJewaf%mv|3tn_PY^y+f05f
zlvhUm!uBL@cXgE0x>ov{)dW(#DI4CY%80mLI!x=ThI+YzXWjq?$T)#1XH*&02Vc;A
z%b|*lMRT7p5COLC9j)tNR6!jE^)E~PRZ#mEBPHi|0463}?5{VJ(Gv%2^O;?oV`-kn
z^~jPS$U4x=5GkYBh>Z`b@i?@gIeWM88VM?MhW?W{u8h)r52U-Fl}9~;7l+nrNZ@dQ
ze*Aom5_&el&hAK%MOQOLXZsdN;KojwD`Zwe0)=XKQ`V)B`Db^D8!Tklm^62~ucU~^
zn39sO=SU#M0}nJeck4xhva6}Pc*ZGxF!4(iLDRGZAJG*OpmI*7O(6v&knt{6vsD0n
zu}j%!&_aU2PoV>x3v!4Oy?tfNix*w`<!45hMuOKvIipgaWzkr|RSoTSPNcnXwOiYP
z1Zg?XTyghgkWu%a=gQAmP~>Iv+%OIj{J4E<;(@(13MD(bhyeo{8-4$hQUOrU5G^Gk
zFNHWh)bd4U?Lnu;F5K;L11PfB=E~iaKpqz^cIx_XQ#ZXPcorD|&KW4b{ZlK3bWg80
zo}ON#`Yqy24Ja5q*H=6vP$+^<SgmZHy}L~9$5?BG5=>x4hDolzOb7wKMy*0&ky=^#
z*yGr44*lBN`YLo(0O7_5BS}yHQkCLU@*TvC;a5>VU#uQK+T@g$z1ccX6*%y8M%=>)
zPFGITg%<OoL7kjj=cn`3$}L#6DKvx{m*rJ93J>bE(NlMwou~HKR31OSZ2*ZQG_No5
zaih-8k%iwc|58IJ65lE*2EZLsqPV%lff^t0A08@Spx#?~^~5t*A25<qz6}#Qx*hIB
z8RA)@$~?YZ97eAXJ4b&h-F0L|^1aI)5jo3LAx6epj#GNjaGfEOW11Ol(rc>g`mRzH
zgze?|>UANIqkG-Bgb95)-IBiJyiN^!^ReW%rY?Bji5s|E!iaudR=-Yvb(0!#w!YgV
zO9yV>5tzL*!GJh!hxOXM-KNIyZA4}A>45T^A0+nu3<!TeSEhxD2AMrMQLY!Q4WBCq
zoK<@0(d^O2dtnxPkdMpW`^pU3ATZORd@z9?5u|NAex=Z&A%(|Wfj70F%f+)v^)fv=
z89UCty+wx%!Ui^Q%vvDqrYbTNOpjPEQx8R7VL(4$MV{OjrwOP1N7=hy(4+ZqJ-AHI
zgdR)3vl|uHgsDRxhI<$3(M~66jqx=zN)>GGkSNpuC)Ndi4o?PTeaAAS`#dYk7H)pR
zZKeSoE%Y&C%M7U5&d;^>FgvQ;+6&|TL|{MPVXvFVh=j*OGJe}|A`UMHuV3Lr@XdJA
zA{EYroP7=F^o+Ps&g&;0qH;tC@>GxKyTXhrzN-!ddGH`-y6;rl9|SnKcdfG_mIVcx
zq@-TY<VCoyRfnl-1TYbHesr*r6~#Y!lB~MShw6BQADQS9V8QxC({D9)#8(kI;^85H
zY^{imd#2TazCuERshk519H*MH{Sidr0Ud`E0@Q&<hL+>nIj&uvzwM$)6h>G_*tsNL
zb<k2s{hgA{jRFc>Zm~LwqEAv6{qvC;v?VZ?CFSrSC#HQ$wIGhP3ERhuZm0p>jSsgP
zKJy|+$Dr3SR(nxXXInz6qZ&Ll3wwHCw?D0um*$HNq|g_Sl2^C(tAXdXk}ZxbfK2Kg
zSKQsDQPs6?73s&+;6WnZ%r;LD1zul$^f^riy$Mg>*4zERXSRTxr6P=So$?WROctGd
zHe=k~tOnMN$3$}KL=dCpN&W92k8B^^3_46whl(fFZ!;sskjqpTdq|!FIsjNn>3`~A
z8ue8Cgo6Ysb!NSjC83DM{hbZe?FewYl&r*PEs3@|UWoYb>L<My!(w|I0X|OC&oJdn
zAp+M0G%BQmzIS@m&H3#5wLrql;0kGU)cvV(>_a?abQ33ElGA`Be^HLR?J{U2zMdGc
zM-AB;wHdE&Xu!YLx`wi4S;XXtJI8lI9gSGj8eada3FDuP!W%{9(a5io@5<H$B>MYm
zwJEbUOpxBve8dz``c#JJ`4$37JnT+;%tQx@!f(#Mbitt;uCy`5`b5;~nRL@HUKgCo
zS1WriD<ahu;c&t=BB~(V?9JZRg9CS>swM-K(D6TQhp#>+BKqcSj2LDB=f*yW^?UC6
zi@EuynJ6NP^^xhg$!r9Dy>|jbh$`sc`VmbZV<Ni5&(lFkGKSpYa7uco3L1N#Ci~wf
z0`erTOwWp8u%}pTe<lTwR;m*Y6tNP}X(Usyu@7K2lhbNA36Cm!n*D7p)lhbmZdLd^
zK#<V0P(ltKF&GIc*2>_K+xD$&auf;ZC^-u<p?EZ^d%$77L<z~A-j_2*Lx#bCoe!sk
z@#tttu70;54&4zybkNe34F7Sm#MFhVpkpeE*B(2`Auh_zfT}DqG)$WRRVh$LL%b@%
z;ZLNI)6&zby|rWr&=Tv>c%y{I8><UWj7T882ayj-8pxn>-qmvKt|H<l=i|KEg%RUg
z(A|YHG8_pg%hNW;p^ZOr4+NF@krGR{hIkAazIUpK1Ww8$&yAk_nG0NqSViMCe~1it
zIv(}qa5=>OqFLJSF*73XkK;eMhYVcV@F;>q7L|l9g=ie1MF$g8swQ5Npn@8&qn0j>
z==eQ?&*C<yeD6PZOYS4VrmkVW6j2H>v9a3+J^4%B)*F%R><7rtcRnzXErE`t>6ibh
z7^S{#|G@2c82~ruZg_xJ45=$cD`wSnP?=q`E;cal=AizSQ}MTi5$9dWH+)8)sG(&Y
z{doo$_-{#x4`~XbJ{Luuud6Sy_s!RXaHmax>B@cQ7IuF0=ArcFM~5%iR;puT&?93Q
zabZ0e!^?|k0~<-KuJsswuCRV|oe>;dm)KD>=SF$+=M*h%8ZmmB0&I}h2snOv;GbA<
zpgk8;GzUrbSh=N#?Pro9B&4=RZ91?b4atRSEwNhczd%DTqgw`GyJ#!v^N|Vt4*&rF
z{|r}mAk}RY#zpqH$lmL6U9NlWb&o9}krE-hqO_G!8lvb!R)vfxi4cW`-y13`*&~s?
zQj$IU{Cmzn?|IJqoacGQv>Mz?4c^jTtU$V1t1cA!r-)jgWI}!i^?tczX4CXWf-hG}
z>VoHzuu!ZI4%IKmi$5UeW2Itez6G4ufpuP~yv+=H^n3HWMY7umjFgP~MQYK8G5H}0
zKYlvoBIh}I#q10APBLEki;6Z-o!Gt{i`>Ern}hr^KXqdCp-~OO@mkQR^WTQ3)dtor
zQ+FwetsfIw9Fdq@(FDD?$)8RBYgnX%!u5&LA?$91=N=9pO<<K<Vd43{f{9#RO8Gu9
zie*>Z9{1_gfc@9)J82oqn5eZvn4#PxR=T?@sl`eIsCv)*LUNa|!=ane41qIPiKur0
z=>rus@6&td|6IhTg)YyOe)xsusznJNGo*r;mrVENlZ)8vcCR_M<Ubg$nfbB*dkVN%
zhUt6CFJe7)?xgEZe=+0t=BC2N6gad=d>YHWh~cFx&p+JhI~m0@pR8AhAKz9+1_+DT
zu+CvmUe;yomed2DgO2Jj)2}Bza%vGvj*`gT#I0f+s#e8~!(=dy*k9N1V-aHv8_BB^
zS;yQCUXHFiM~2t62@j8kEMY9|mc23#o7n5$P9wldhE4~ME@q=;jQ!$oyln9{CKge`
zbKOi0mP62Nf$|FGz4znm#56iIzkWP3Ib0Q{G>CC^u!=1uJF=~;&?8C1nDF-ZB=~UN
z@`e4iHH@rya$j>04)u}9l`c#q*o?9*Z27g04OT2@xG*yziMUxO_X8?$K_DyJD0&my
z|Dh2{W6Y>Zk)uldIT3Vnjz5ud+{Q||D?W^5u%MX;v9MWIA_P5tb@dH_4yn8-oXvc~
zh61?zziXUPhQ)D@tL~;d|EKyWEoXoOX(d%QhYl;jQsx5jN+<*J8f{kywd6)NTaq7q
zU6nw!Ymb#%2M#eTee%4%$b+)YtdG9?L4e(JKRB=3G9d;o%9~<uJkqcyDqRR70QT74
z?A0tYS}+c%Us~WpUv6n>R<RSHr_(KhzMKUm59TjP<O`t0S9{36Unzoy+C8??o%adU
zb3A3fA&8FW`KO~GMQ94z{Jf{012K1eI}j5kjLrtOA6L^?gtnze_P4~ikyqlcn2<_Q
zr0?U`bzejg95@^9<#q6&QtFhz1tAG!8=K%#&!Y&u@4p@1tA$4dt>whA15!xV(ZP;M
zS`iX(uW6c<d?@ncaZafUX*675>L<NV5h{eNtDRg0P-R@h=~Gl$bU83)EizLPQZCn~
zhe`{gQkzQox&}Ga`REqGNRR+Ld_Ph(IfRk@Y>VuH%L*tj!P0c&Edh$64GN0HMA4s(
z-K_RNK$B0ezu`_&0zC(Z8zGM3$dxSPnJ%h~gvo08u1}QVurSMC-x5jWjXPu>!mNU<
z8kO?o)`@T~^J4>_ur%u9N^DVDC!zgN;MbNyf_H=adDsGE5NnW{VeBt8q#Tnq5phEe
z)R-H}hnr*((=qv%$7aaL=~38Yy-_lJzWV%&vyMDE=#$)%)vAszT)lrsfkJ^(e<Xg*
zKUYBeX#ZL=vMA_DT}wh_F%@PCi?v&%2&lLJfr+s_6&aL~0zzFhp>EqNEj3OF>5E~*
zVVzWD_UYr<*J|2u_)gpY$T?-y@_`t#AgzHEnWuM;6Lg`m|5{k2mI`w5oF5z_X&^2Y
zvsotteTX_PBA0xaguGK2I*sP22*+eOG=9Vo`mP4p?6p-zMK}I6vL2<P6VZ$h+(T$!
zx$V%I$gGC`I=ac7zd}KN{&o9E9{?VYzJb_KHRR#fkydZ3jx4-d_`6Gt;THQ`;_+NH
zq)>VG!Q~<~^!v-X6`mU=&?kP%&LT_=3E7(F^V+GPPA}Cn6tXECvl~`;O|OR7<bL3;
zW)aYqZk1EhOH&9TeV@f?tD>WGtBcaja_9)h<sMZQGYEbY_K-t{ge*$_$;Pirq4DIn
z-N|G#;5@g5f8Rtz%@h}=JBcDF@cv|4kE$8Gtmoj|LsLe1C$e}w-teJwBaWrtcbP#J
zS;@!XHUV8vz$WOV*wMni494ycrr_3Fu6^gV0@~1?suFaiLq>yJ0U_R|V05D+tD-{=
z&BW%Va*xbntw-`mt_vn`G4HgG=Bx~o3XA1-=y*(1$o^a8A8Z0s-^U{Vuu3C7N`dr=
zBhxggSDylM7mZ<$!-ICU6A}oQd`WqdeVO)XFJlgOkTK|O>`f4#5<&MLwXnqCw`ko`
z54G~A0S=w@yh)!bh?>WB8Z~+7fr(wz_KqLGFTw_kP&hx@P$sRp)H6WqqCZk;p#kX>
zi_BaGFJe!}OBeRz;PTycQ_Wr@m>`hkE0#EsoRGh!e-I<|u9h|Y{b>lihRw7d1y)qY
zv3u9^$Bb~(N4hML)es6cYxZV0F(OWLQU2SBjIb}Q{MZ=T0OAkXR0a>yp?AxZy&g`C
zuw>Ek=c1=R%rjRvl$ESw*_#D&t{XTwO?h?_d#DFCTfMoBUW?eMTPr&*2?x~VwEK$R
zbwO`k(r@ABFD$jA{&k}=4h~v9*e5El3qD)jhrGi_u_uviH&b@z%07FFljnjC<jwS$
zi-~k$dKVOxHP17^TqAo&bdxrOJ)&->-!I1=*vV)&QW&60VYO6{pbhQ&rSJTu)zE$j
zdQ2*@Fo5vP@He+RTCg-7A6B@~Me{zoO;uc>2f25v?QDNFp(mO%$o$g~Ep2V}SQkA5
zIOmH(zq=-!?=v|n$vr`<&z*Qzt;7J-o|fd)Rt+fm*FR`6J41U=%;d{^ngNCrkF?<}
zH9*H{zZ^O@M|-c6bEmG00rEJH9962JLg$T%s>$#3G}6c;zt^rf_%|W~$e0S|>ks4N
zrWR;P6>N{|7#QKjn%|MSj}$0w%apz_zC^o_*|Yhhi4k5grl~30Q2<pX^CtJN(Ej5~
zUl*-p0#m!V$G^U*gJ9H>nOFN7t(g{j{B1omT<rFy-~-hGSHZsZy>)|jX?#po@82%)
z^gLtnm|h(&;u<}l4Q$a$GjDxA;KmATm!9^Or;%auSdyarzkjrXuRk5Q#@Qg1d(O#6
zj|>){7MQBV>EV}?*rT%h9B}Qn*}1Z}YT(Vsd&$j)0o;qZ1O`L6faSC$>pc!NFrmwR
zar!?T%sd<Ws%yyuwUob;lm4nOODRuVonQpRrt~0(0ABbL^FiLZg#>5ka!A|G%+RD!
z>v{e;9w2>be*utygB>PPCwBocLH>LQD?jv81w>jg74Wc)-Tsx#3ZGIoCY_@M!2a0r
zk3Vfx;8fn=X9ItBm>CP1<X04gH=4b74^0!Hbf9y%)14Faq~a1PXN2JR&)klp6e5`Y
zpnESA!40v`@dYNGB7kc-BHVtE2=wZ^-SsDVKz^39K7L#b;H_x-I*|zGcQay(74Q&T
zu9|BiB?(O=ZS6NgL;%tdO(cR3LOvZ2X{?a~{V6X_HYp-()Npf%F7d;)%^FT&b{Qb9
zNe~>&iSPlhUQ3SJ4c~(412>Mz!fdMa_n=rJ=#_b;=4lIo<IT8&&VD(lJD+P(xkiNj
zYd)7R>=FT+lehwVF9nECh!0szP=S-1zgtKvqR{-6nn+$(gg+o!bijoK-uG7DePosZ
z+}+RKJXuO`0e6h!ptCC2U((uBAtD7^N7F(T_YomDh{q;1K@GZN3iV!qG(5QTa%&eo
z3HYYZ+cia!AygfwQFl%T<Rd4%yo*#p@lLx!fv@_`-m7>kN@aoIl0NcVjts)2LD_&4
z6lnaXB<Q;$2RWwY=eNhmFw;tUWS&d~E2+0(#h?HUqZOIiaq4inR_>bBga!~*Y;=61
z6(OqO`{_C{3aDzOx-YtFL6c_el72k_&SIu-+ip<cN|~cu_g`&ryy8qZxT*xR{}r!L
z-%;S+{#kWuo-W`8#Xs=jcYIk(WEev=1<wAvJlb_aA58SO+c?=(KvkDduI)Mn3KT|^
zg>((US*y&j?VAde7kjM4GE-nL^J0QFjt2jRQsinbkwDk<fxo$xI`otfUq-kAcrePJ
zGZ`Sk#Jca=8*4JSm*CbX3C1w!=r!iZpb8=>H};4rslq~)q{z^BV{j6a7AK66peEwr
z)K3p0#G^~5A?HlsYL2zw?Q0~cIPLak)sX<r6}iQSrc7Y%VV)DqcNK{FFji42BM<aH
z3({D1O~F|F%I41%A`qG{CX#2Q!F;e=i0W$!8x;mC{r$>Nwf@&l^{zO)DCp%re##Vb
z#V(Dx#w$UB*jt;%OhLGK^G@2gL#B`|#yKJ{Nr0K+m?y&OcrbBDT<?-Mg|?E^`LKHm
z5F6Ikd8LdEd>L=5m<*V}pP|Hrm_<1VbJ?Y^vcvDcwaT3`J38*U_4L_*oh&evTu~|X
zTc$B=f7aF%Gl7>|rrTT3q``Sfk8(0#oYq_|!d+Bo3@xv4y*ivyV5R54v3&IvZQ~rN
zlt;%HHiP#l(r<}D+f2fhVbp`kabm%0JH8^CuD`IKQ3MzVG@rizI)QCn31A~y1JpMr
z)9335f^D<J#ajixvHlmYJ%paoplN}8>|;7Vh&DeJUEi3;y6}NNs%nftgs&tuor;G@
zfi+{JhYJ{+O4r7%5kr`@64sd6;0BNBnuTlri<mZGvRXTOw-=w=9KXyCnXz9OhZ7eu
zkM+|B@!AGZ?V~;=c7O$ZO5WI!tQIl*zMqlef%-sk{4vJB!vta*s)a|MEMV8Oba{#S
zdXU=d=vOSq0N)hDT1bt5v9@t@^Mx5*NYmlf`6~F2He?*#H{LLhJ!&fuk=D?Ki^=g$
zs#n%&yeUDA_=-Q6a!2+_*Bd&Z%^M~w8njH)YBdOrHJZbM%~)Hld$oaMR@}*D;4jUc
zv6b_N@Gne2MQAFWq79s}w=1<T&C$3C!yb}cKd~TdCvoO`T9B1sr{TOkO|!qcnIxn*
zjWICiD4Hy5f{5(u96@WG_A|2f=Zk<zj3s7dmd`^I=(4{Cxv>q?>e<3lP7jS^P2-zu
zX3ZLKoe~{T(ejNJx^0^~7&V4XvRXFf8frjRe63X2#ZH>C|6t0J*C<ARPKueOj0&&Q
zNCUDxUucqX*Q_$mj9@ZbP-&?`g*uI2f}YZKG%j*#7Ord<`;;b`56>v@^v;HWhH3@v
zrq&;aart4aH{|Wxb|nfVj;Coc$!F2ftEvZ|>xVGM=bFJoMd}c?=Wc^VLNa!A^=Xv+
z!y#;J>F7N>P4yjq;_oY6E5&w+OVJYV4`Ek>bspmo8E##3@T|S{4r`j<=IpB(!t~D;
zeVeo;LvNk!J!j`yjJHuvfkkK-+t=fg)9_vmE}Mmw$cWTqc|`sbcT$Hj`Oj0Raa<LS
z*<^pM%4){`7>LBE8joNxqXgdPe5!CGdS+=Vq7_sA_w0tcz$j+!O#j}@k_1PhI5;2W
zw__Q+Nj4VzV_1_*4%7Jv6}XtQ*EPGf6BANZy_HTI$KE}AO%ue3a4)ta<0^d*#@+Sh
z#l-yyOl_Moz=hkn9~Xw?oJ{*LmFx`PqcT(2ru3PchBnGDa_WoeLPkGU@Ka5;Yj7Gf
z%KEDj{ZI**v{hno!h=}#U=H@Q?I+fMzB8oz7Xb?2rQPRuAHpsZxq14xe_=$~;+J>}
z0$7}ukB<L5j0s{rvv)QBU;)ubjw(M^gtTBjhd(x>n6)c2VdCyQw(<6N8W)oySo#ZT
zyZjx)w%KO#qS+U)JWu?C@&E<UY!BsAdpCg%4csaDQ@V)#+*YyM-6IbU;?nWL#Z%Zp
zE9Z5#$Yt!kZ>urYQXaCu98D8%oxzr!4{6YDuVPKLk8kn5lY?c)TL<&yeqpmRaj!#a
z*D-<Yin(e{Ik=v#n4R@<4kJe0(lgNA!Zz6hZ#$IBf_(2`ssYSn%;VD;S%3aveyb(E
zzqMt-vSiCQbBBkoS-P!tF43cqy)j=tAQ_-HD9S$^wuoisnI{TL;m|vmh+pjcWWbII
ztri|$#v;ETu;X83L;^9ByCp}Z;n7-}u$BKRHj~ZRgjSgma|rd7Pq;L!f8@TkzhE6Z
z`1TDZLuEzG2ROyNB&0#PgOGogu!UK$&wQ!MXGf$PafhovNr7{buEgl%KkVV4&6ArR
zTxjxVztNsxDM)Gl)mIfvk92rHF3=bAAdjGfy*PC#SkzE5w~@u6rtr`2(w*=q(lt)m
zX+{zT0+M?x*BMdxnSY1(EApfE!ro8U??{4QX<hs=hFxgfRsDtlVK;JhQ)4l+kc1wq
zLyi(ORzwl-XJb1egg(W=Yhf8l(9fIyw)l!2-G3UE?f+Q>-7?B-xg;wIvo>E$odda$
znMP8T=P7YC`Ux9dwwDB%i;b0=Wjtu#dJX=HvJ~1q?t3Tnr6d@(H-;ZMghy`c3D5j7
zX~fDc*Y$=V1tnf>`%Pu}(UM#~lWVXn%8`wfy`3%v_v219-xt}9g75q}uI4C@sIqqY
zI{MOJWj}Kn4?@UGQwjzg6cKyBNUbl24BWdS8O4+$f(RXDO;Q(>P^9xU>v|zsc(WM$
zgCHS}N*J+vrV1k3+v&nYI3Wi{LEM#QeUj*Uv!RYFpDI#yX)DrWSAfGw^OyX*rIBak
zDvs5dj2Z*&uN~M$0NI}98<f8?C^6AE`g5o{DmKnOGH_fOj4zsbK24EB-y%o)>0VM0
zbLZovU_%lx(T${!*(ji-vpP1X`lzV?l(&qJIT?;ii}7f26OfbY^e($`4HWHMni@!?
zK<f7Um4+@Qq+-zQeCLxUs=89m8E3BngMO}!S5k<`DEjK4d7u`uXVFc_Dba$yhj$yk
zn~~6^=LaHZ>a-AjSNc%A$xg1%EyMP=t0H-eNn!)0h0gWH*ru-NL-y_JC{IB$G8y}z
zsIyNC{deDPR_d)0^p5s8pj<MFW~DOEpU^}~iSBZ>RRD6=>R(&2sv|4hijW~*10nM>
zTXXa#psi!~UCc-w<#F_BdD>DC&EquJNkvoGzW3;l@lIW8$bMHXiHrs^iHKL+4Ek##
z?M-&6qs@S-bGQdY^fe*ad%V{S%$9lkV;+!E!R>;R)^Q3baqqvGqfX`!@@B|;`i~k?
zpZaJs877UCCD}hNC76RC^`dIMqbjOdbr@LF5=OOYrHj?~%;CP9;gnZ^3bN<limIXV
zAo9jkdbo!<=nY0Sl<iSQFUiY^^Iml5;QL8yRR(joY8jT}Nl!pY_~Y}}^}8_2)Lx^6
zNHaM4j5d29R~`w!i7S*iJ5RfkpFR3}!4$?%M5#YDkwy7DtwsLb^bni+Oa~5{f_<&P
zi?wMfw0%&uXl9HBjH~BXP?-tLHog=+WG#-GyL1D76S&|XAM;=zuL*GRKc!W!3ZeJo
zvr+ELJYY&~z*(L*h85GfizYMtD1NtOa+v`hM$0~3a327mncLY{$n&C++<k{-S^1!f
z;i!_Q9e~xx4@W$Xup^((x&IDa=7V(Jld|z~GzcjkBEQ+igy#Ju58iyj2QhesSL}&K
zkaEJJ<M+L7Z18G;@54MknCLA(cHxO3cpjmYmuoCy->-Kl+>PRc(5F+BSM>%EBH>N?
zT04%p?uEf0hxy>(<lCvZRehLkYh{yHtiwLbwj>c1`QSfOns}pzJ_P62lDo${Xrp!Q
zN!crSSW~SwHVo5)pjo=>k31)786j9_L>nG{_<!Xd{h|v6KQOQC%6S?+li!ojDm-xb
z2cG#x(1lzMBhGTg6`E89e-vjK9wKVE_8p7Wfl9?1i_d(Uw5=flof?FPTRq`hODozS
zP+d-YVMPb&=9X<iV|eh1c@n}Epbe*(bK;v1Gk{T~d%CYAAFQ<%fa|yxoHR+C6SrW5
zhX>dL6VC47lfzBS_S1sYb$rKH0cMEnpZS$O$Oko7uDp8xTNC^kbvb-mcR>fk89hcH
zei&f4t;`MAglmL$`8Q##z^|hGTmdHl-u-eV?tGdMbXO%+M4BDC-{mzpyc2-oe=~8r
zN_P0WD*`jA<p9I-_0=zNyMg}9RlXKS4Oqs_w4Xl41vk$w+4qJEf<*Pi&4q0$3<?+A
ztYG7ToUFBt!dpV{NWgZasgw$*?`l=s?c~kyi3y9V1;UWf)^A@ONCm>>d6BIqUJww7
zJAZy!1il(S|7cF8Lh|Brc;Xv8d^}WQ^UzcbQrIFI=Qk;^-=#w5bvYk&T0h_Otx_EJ
zn=TmncTk{Zg@t$EEk8_%H0n-UNrIcn%ekZF6p)*mxxK$l09-sX5*}QZ0?#*|oyA!c
zxL+n<KwRDpO+6A>o~}DO=V?%-_kaTb1?q5G6NO+~ftikfj|>dI`Od!ehyudT5`^u}
z2t!$;X5uqrSwKE!=NQW<K-GIhx?3*-b^QCZ-<rxn?Xpf&U^fMxKe>)Esf)okyOo+#
zw(?+p%a_B2jS7#=tIqE$5Qn3V&-}cPC_sPn@vOOhRG8uZ5^$R;2~5+4|2;aX2xTWy
zGR^X-pjYqZ@z_@ivQW%$NH_sf22ySu;Magt_&NIb+R{)sMi-S9r354ngYBP58c=<D
zCbWc02IBpmhfLg32JYvc6A8+iz^NIuUO6QL4@LjeynTTPWaO0+*rf@!p3jP&)XGAl
z|CxR4wkj}c_oPrRSqmPkANl+(T@H-jo+&=dOoIE@2L?VJ(}tRttL9c`<UwxDz%=Y3
z3Gz;{`aZSOfvxr9GNFbF;Kc6GI76=rD%ICRt<7{H<8z<O(=7$?c_2AEqp1qNojxo%
zS?IwHQMnaVqzKz=zDdz!Rd_eM5fE>$4`M9s!5Mo95L$D;lJtuN<qe5T^KJ$Z>Tp_K
z;tK)#{3049j*~#<guh|KF+)%;Hx2jHP=aszse%)aRiOKH-L<6?M(}p9Gk-Ny3Br|M
zs65If0zQ~1NOh+{F?OOxEL#a)V$BmAp2~1Ymh7S@0pMq#Ju$dbci)JOjGQBYX+~_I
zR0P1$(9K2La3u&Ee0)0YfFk6Ell*VC1CZBvGwxEA0P$TSJEzHmT3?ED1)ni22iTYO
ze<T2S<z4>wRTdmA+?Og%j3H7yaq7Aj0rr}JLi@HfNap6p8+jN*V9k`oyJ$s_`{pPa
zLzM!h=>s_h$Bp3{<Y!+)3NUzM#l(GH40`#*XO_K;;rh#W^UfpkKv!gFE&oComO*VH
z$;KEiRguGm7UW=HF+*1N`EFQ~@JQXWli$s5JPdlVA`89U3p(@je9(7hj-O=}fG9}6
zG`lDR`>b(KsnNV}rhw;K>wAC^k0Dl%IcZ>Rk9XNMv~&M6VwI9Y0TNl3;uL>M0Sdh^
z!MvXxRN^<}rKtcq(+SGmJ(7T2{V^6d7I>hL<DuM4151rqpQveZ_&Rqj$z`1hSRZHo
zD<aZB<t4a<@`%CK5q<*&aYpcsm>yM%GJ?AfVi#ZAi@=W~Td#vF86f$p0BhWkA*{G9
zjOrB$L6=z5Bo9Up{xzSA0(A|c?%;(sX@Vd)4Bf6{lcNX4QzCR*_Y5FI!8^CIMgZEJ
zvkk5K>7ZklTt@k=4|0<Mi<#m4K;t#P@}Z9oy5}YhKke0rucykKW}J6$VV7nv7N7^B
z%i@M{p&pE@{>j!ofCr@nUa|CB^sryyWFrTU9$=mGLw%=sp&rv~_LFA-nDp2_8>|bs
zh<^LNr#$ee-mr{1%K%&GU`^484y5eWEY{oP21;j(=izP~j9W<IruXYW!emY5)DFJg
zC--Ss4lzP~(>-ackJ=#Qo8`P`gA=?@Ki+j>7c-1*b>&POXhY+kcUJROoDhhsO6RfO
z1ziz$ch6L6fqMq2CH^x9Oj*$e?4Pngyk@nJpRN{6bt`o+T;KrQ@94L`CD@?2#OXzN
zwI+lU7tNgaaln-cMt1X3c6eRLG3H>U39j@WCPN1}z~BAQF|r3I6nx4hbM<II%HO01
zq?;U|>{)={RN@8|on+g=6B;09*~cLAode{;UA6OX^T61KTIU*00~j%$bDv!~A?eI}
z--Q2o;eaaFgRC4X@JrBr$z<RHzoCl1?YVfcqTdh|x1_?cgSE1bty~Zl9Bh&Cg%7Ol
zz4<=PQ{Z>Ebzx^6H@v@HFsQ~R0NGCr1nC}AK#AL(N<7U2|M4djwYu(x_V3(*G*=3|
z3V2bK&C3gk$8WmU)C$6#;O!Y!Q3|L+!X>fKyzpwt@t2ONFx(}yZLf}~Lv$v4>UKOH
zZoJnwx9JywQ~ZCPzAaM++e57<-vsf2Y4N+M$yhPyaNK=H=s$JPzTh$6=*<uO=4vM^
zoFyRjpt#1|S#@9=E-QY1QUIc}tS>}KN<n7Dj|e?)br7HL7X5m6H?W5qo|=@Dh6j9C
z{dtb611@{~+r2tL2o~J9Bu$b59|k_hoD=GB#4My%9WM+jS~@7)LKZsv#O~<dREIkH
zShKQ=BEaL`+}66|`^)uzel>id4rg|Auk_4|Lcofso%elt_#XfO|Njh^hd-5n7>4Z?
z*?Z69nCIAp_dY10@l&W!Dy5;6>?p}9BoZy9QfNpjO?h9*NM)2tC8UgGWX3^${(<l3
z`QD#rT$fIhcd}wX6Q-FiHr(;b_;EC^>(d(@#0cEUTV-v6J;4&c)#<7j+3HXw#;c3?
zwVsJ?7fsNb^wHTlSPi2As>w2Tba0N3uh}PSitADnZBbt8_!P85i+jHwe!MZe)K_GR
zt0&VYavU`9`ti-j<7f1draPK=evKKjj@w0^G1WwYLD^H`I|c|+W$Lq~%yHhV@yV!;
z76QlXM~>VyL{Ee4vEE^GL>0|w<j8BoP9mzMD!~YX$|<+wyDZ@2A>7=>uY)D?#oJz)
z8sn<v>!<v`Eioc86n}qE2c0D{?SXfUQJ^Xvc!kdzaW7g`_twy`ZQ_>8pWnt<*7;Ax
zhiL=nX5zf!30*v%JZxU@(-`TN<}8_jC19zH5xKT>oT{{{K6A<#8CNDZUb<w9kL?j3
zS{mud&i^=NHEIMCxvu=r@9pr|TE}{VrH7fPU)$!nj8MP+lBV20d;D6tMVn05L&fp+
z8gFY25GK6XoD>2UXXJi<druF`t#*tpcGkzzt7YD-<A8605I)}0L(|ti`%k9O!PD{Y
zlI36EQLqkQYos3ZN(MF$T%y5MOz84}I}7TP9<J63dKm9@nW{Ra4eNKj8xEggLA2DO
zr!JF@&o9CrmV{|yI^~qoR1FJ0DgD_6UAj2$L9&h3sl)cYV}WNU3x}QCu1SjPVr0b6
z*d<j3;_8Mx`+u^~?V?q})Sw~dXTejU3kr~O@<?lKVL?T%v+bdx4(g-IzGRQcfF^p_
zzvw;-zxeXw^0>8eqQ{_M>qSZQY&h`KEuMv4QwLW6?9fCSjhYTA6vIRB+2j8$W1;$F
zWs%K84IE%*-8)MY#&3ss7n^zD;+N-%U8(9|N$(u@e#sA>jXP=ncY*s{MK1B%)v#5<
z;>3(H4@l{Os%{@ZAp5z4QMw8;vI)*zx}4Y&yJXQRZotplH=$;S5>~zv<@#7OM}+Zg
z3vF>H;C?@7)r7ACBHz9{ZLPs3#;1AtR-Cs-#TpK;%wRd3>MXKda{e!IZ2RSvAzgOp
z<xuTm70H0iu6G+4njmPu-u+jhZ-*m(r+Tk(Nh7>X*Z%;=1i^l?%o7o|sBRF9iHMVg
z_WqhfEv4gxdr|sKMfDOaD|8L6(2~I3W;Ln6U*klX<;lb<*(Kl!X}B`*TMROJ^-4mS
z6NF{My3!kaZLrqttEBL4QGCDqZFVYqk|;1y<G5XG4WmTUH;1Z3;Fmr*Q`h&G@M_$6
zY*5=80!<g0hKj=QQWmk3Jv2=;bq$`2J7xuS8L5|TB|^~geE84NWrm>QKBol_TSDh_
zk+aodK`hs~NYhz1N7z>WkgoK$#6Vh?!q`y(1gO6KLk7(gDcAbKg6l2NW2|e?`IH~2
zTbK6Cba24q?}3JRdke&Lz1YR0$qx&=uu^>`E{p`!d}cp1N4fOH_-l{(&}lPL+ZV_U
z<K9PBZKmdU)bCKYDvA#edvf2^HuB)Xc9Fx(GBXIz=Dq*El@IxUl-j$N^P!{EP)2Zx
z8K#7|?`DMXA-pEPuBMeA4Kk!gM71e&V?K}myupW+x%t`tae`28S>>DKVTz}G2b@VB
zewZywF`IW<1o~wzf#ZE9Sgnv;<rU8lufnHRdO9ND+r35jV4MkTw_k9x)E0o+b<OcI
znkZgp=^9;9H9_zAIxC`I0Q_+WZhIDpLH^XG81pJ76kZQ($bBb>(~MU$YH!5hGj(As
zZ4VQb%k#F@wF}{#Vu8_bK1l@ktX|Kd#KbeFy5a;;VO)3ob$H);DcpI!%wx8hfssW5
zP9L_5z&bs`ci#(XP*w6x948sb693uD?pln3%Qa&+mdPT^gF7vMEdv^ydxy=P#L!;y
zW<zt29I|Qc!>803Fzf9-)~zp&u}?P(W3DNnuOm#zWY8F^Vr`BF(IxO(_mibeoD#Ub
zMg{DOjiFoA%k|t&60OQ?mFhz(P<73_>=SQ{x6@TY6}zM$(kc>Kv{DVhoCEH^gN^ZX
z{PGE}JJJviX1LDpQAeMcS4K{>F&d-P1lI`5qIh}V#JyY%JpOlb#4Fzzec!i~dnU*M
zUX6yTZJKz?<~9l)Fvjib!>j9M6yWT4>4><VHcn4$u^|i@pcM;VtEy5&O_--_VS)~X
z<HzK$L^5FWL+a6w6lH|3kNctXi-ubp`cgK0VPHvq-Dj&nRYVl^-TS<jj-1TIciTOf
z&={C}ky@&T^6l3ib&+})YzPb~>0_eE?ScScK%c+o)FXAI_GLsW(F`yrjK>3KO+bIp
zAt70-fm>g`znqUVgw(tDN|6DkxRUc;Z2v;txkp2Jb8C%ocxQE#%EJA!uTXtHHm-%?
zIL(F|3;DLU$|!XEn4>TGxl^^U4mt+yOE!lx&_9&)u>Pn8<o=z_a#5wBMS@G*?;`^b
zgr;vCdufUOt3{9XXu7Z(^C-J1!$ejbR{APiW5DM{*gh3H)=j&I?KfuPeL45bu4Eg?
zci0FQ{G-FHRod&OA`=nU4L?cDErGD|P`PHM9%!uNrwTqT<k<7C$uHCnl^)UE>-_Zb
zg#WW`>J|p_l4e_kf7&Cf*mRxIdwnn!f0-nP7(;YL^s81iVC$sPbfl~SRQw;fgx45?
zRcF08v=Rurqgm&vYk<<&w6OOz`iRzV7!+8|!pw4>iUe*0EH4WEAecZ$Xl2z%S~UwH
z#f`776zPMJw6kzpjD|~De0_^F91!W9A!Z}5k0a0ddSj1jL3X$6Xxml?wED72AFtN~
z)BVp}!=O48lWzOpPj*0h<v9z(J#<8s@i`T}RY4Vf-@24c2c+Hc+%&d97kT@h=e(Gc
zhf4hB;{8V*pe*{R#F<V5+pl47Lb5c9W50-CqXWpTm5m?1Yh&A7uH>1+;z$foD00(w
zz`^KCXI7+YVL8jH_`tVC*x&hIlteoVQWj6`I1M%7>RnDBeawr^g>xNqDJ+bv(qCTq
zRvpWJ)OgpVabP8jzKm(i0wZnHX4MciNToZ<-#9l#xJt460^b6O&wU*qJE_2;RR6jC
z+Y#cyftw@j9e|Wo#P|CZib((5D7jMf7jgUald#7eK+OHMC2rpG=&9HslEwT^7<TA=
z)iEI;@MpVIyP_<-KlB!4vOW=2-ND_~+w2i;;(DCmlg77P8_gijCgNJHdAjjAJN&5b
z3HzfUi8~h*tVc&`iImMnGotToVOXAiVZFCF+@-x3lIqpOz*UZhqoTIxUsIkplPrq2
z-Ouy6j@1xL&xSARb6<jF*$KUU#llFrdus8mrLPH|b6%JBoU_6G+P;P->O$afSz%9K
z-Aw$Ke<4<(#~KHoiRFLl<Oe()?yZ~sKnQJpz}anSjlngWPJ8z7qV+{)iP_$-#K+?S
zpGwoMupK(K#|(Lp!LK$f|D=<s8tOXe*KY}h$;zLPO1TgsfArJqu^&X>0FnO6)e;>i
zXmbuhoS?^so40T1CB&M|pS~`!K+QVyRgX7u!1nl+^y;pD;@X4lk&f~fkn*@4-7@!&
zVCZ<U(~b`juMwy!o@@@*;rqo?*>l9o8QDG+oe`qzXv_h*X)}D-!MmyT@GPNJ`c|Vv
zdW_(gwe7|}GsyD2b~d~>LzF~5Zg?RzL8$Rj55s<$LceWSYN*}}v3A9P@KNo*M8>ae
zv)6Z+f?(cRIo!o2G!3?RHn>g`ajhGRU;bLyGlE`gE`MSZg2E{pv|}?wk8AqVx_u_l
zZOb^}%sWGbC>-CD{e6y5eQ?F5c$x{#Meiegcg+yLuG~J<V90?fO5tvBG82>0qSgFd
zvxHm^eeJnJoVaY>wO2u&3IEiyGfEA!#Cz`*Yrl4JK}jV@rS#6izBx9!OzQ0%@mMWD
zHfl2udN)4~Ub>tCQ8&(7p80=-9s6Nr>NGF(c#aHyeQk`OGdC(%n{a@BgYVatQhqE`
zwO(;b)EE`^lgG2?Ij~wMjUz5q5XmO1m(TeaVW4JUj_Biri?qnQg49K@IarbqS851_
znZSmlgIrLn4$rDD6T$jLi!yV?3=!gUxBinD4~7plBrWC_L+g{fs=uNPV0&ls^4wZp
zv<Qvn#IF!XZ9(;z=8!(B(`OD(F7QL_kiTM9u>``tXI*3l=|lBI?rJ^<0aS*+Uw+j<
z3J>I}<+W$@@X?TFe|JO><-wU;v^UZaS6Q^(IY$q6ojVrauU~}BC&#)jrOP5dzHqVH
z0<Ygw#}n=*5e(CGt&fJw;~TxW_V64XmD3MjZ{-q$W!`)%Gf5F2i&wNJzNJIRamfW$
z3vm>P-*9Xvl@V=P?^Jf54mWK+zwQJHSYH-ec3(mb`hRO}C-2em>NDlM`Hv)G+cl2L
z_^M+p-p`<*fsPI1*BuQHN+aRjP{Y1*4ba>CcU>0JLq^$s?pjS*Y!tmdaMn}{jA!m_
zr$9aM=uG+U9g;)CdI!BKN*nIs?rRTD=pn6l*AVYl1-!`^_jKG!!=E`b)xtaaaNF5C
zJN`=viN4$|9@2DV{26z;oNIt(Z;#v<R8Yn05}nDG4|*tAle;Ua+7Ned9ZmCnsD_n;
zzjjYwG{76Dzdk37jnQCqHtOJzIy?@FsPP9FAt1uDZ0&vqxF(##x)(ey#9@!NpacWY
zeL9o)_c0OEy?fugcrB<>-{}3_3<S3@Ge2aTAd6A-A^3|n^o4WRcoZ`6F<InqLANR5
z4@kE)nb6R&t!!`CN)xO~_8#otXbw}}+}AZpx(M2~dvbG=3EFQBuU4D2fc!SmmWhS@
zTGij!IBA>W?loFRz%whHKUN;v%cYNJ!|s9}j;1h>o#`+*Z3BrnYLDFH4Zt0;q99qr
z6gzIPcSyw8qDf;s%TK@%*UzN%&X=3O<j1LI#Q=M(30{9LYT^F5Iym#qi<*GyHss7#
z2O^`{c@JETFj(Vhb8ms?{_zgaken>k1iHBuoiM`h4?ImvnvEfSq9Z)|H49gC&-^Es
zVg$AMGG37x12i{HI8;YCAk6+<>=8R7Y`%3`EWMeIdb9GCGMtV$K3S?5P-KV|ugOoY
zp*mQr%jr4k?+EX2ZIONr2I$GE5HI4<MEb4iP4;<?P%kO-Yb?{pTvduo%2HK)j=Z@^
z<bfmP6mHIL+M$OBC5D~HKFA?}opC4Zx+79_oC@6rbrE&rKMAT^0ynkBf~O)J@l<=V
z>*^XB%7d!nd+3X>ZOJmb-wa2La2LuXUDZaiSzL4A!hB~o-9P%{g9F|Kw>KZ})kMlk
zz1Jty$BA>rw`FbjI6$qq#@|+712J35d+Tc3h-(8EoyaK`q?hgu{1m2!&Y`BLjL=u4
zT+!~#@K_cSEcVe%bCq#T?@_|h#2zxo;q2UbZWb<vH`~S^P(Y2uF{>P}5z_o>y8Ojt
zAazUSN~dsH*c9aKU-5W?ENHQuTOtCa&`oKnx1|s~{cOkH`%`4Zch=Ko`UG^MuN0Zf
zNi5Xu^{ns&o4nHCvq;9#9-{uz4^M}RVste7l~m#k>7W~8P_)$!*V#ebx3w1Gr*7nh
zw8k0oT!4(aQ;IFthxm`i+wmjd&7{S>^E2d@zE>LUPnO{FMM+iGQ*KEAF}4p8o*_kR
z#;#e6*udiA;~j0MIl#}Z-cswxCfN=10wcyY(1}uKE1#GlF8Dlpp1NV0^zGC;m>*^h
zg?-9$YcnQ^xr>9Bwr-gsSN}b||9hnsE(@J>FVz|)MkTU0AK(3#lt?bNaFDV>_`l3L
z|A+x%@v%LJbB|1tv0taMw(YS*cwTo|Sb8^cQicP|ZcmV#6onK1yt05}VNmJX-gY8D
z##;K**f{y8vA5`qfd#&WSZFL!Y$3d+mU`FujFWxz9aB=L%^}jzmzyS0O>}dbDC_r*
zk@1%{{L|+!hi>lfM^=WHiTq8zgFI))$e5W^!-f0Jpu8vI@(I6(q=Z%T_uPGBWU=9e
z2i^;F{kb!8@#?-hawN}a?rG2%xt<f;N}CqEEGAUA<nB9?;bQ&wYxWqKn@DEWeKA4I
z%A3d8fvse+f{%+&_ZWGg)F*=FV*-(=*{JHuZ{*r`CH?G;<K#(3UuIwj6E=3Hm4(~C
zlS2k^Y|i;{^0Y~ux$zDr8pt!kEsZ}&I=RbtMg0VsH-D%-Vw8bpRx{3X^d7Rn)6&eJ
znk4UFuZUS31Ialy#|IAek<;Itb{^~cOBRM3+IdPcz*!&p?nO&Kx$MM%!$y;7((U*8
z-aL0><UR;rrerxt)_+;2JXp#m+he@HTE-h8UUJ<4vv`=a&Qj@m=s!z3JW8tB`OFZ;
z|H5WtR7c1lL;cTXuK!4b;!htKYy%u;G_2J;I7;?L_6VArb5I=Z`$uyK1H``O`xe|k
zMn<f(_1W*wNvYL7=ewP%k8J6HO&dZd$ee3t8k_EMQKBbpGSk}iKyi4={ZRZ%MwkXh
zU(({CwjWE#+-jwVO*`Da*mX~lzIlpCTF-eY&8(^R9p~t%=$F1y-@+zu=S%LjiRGuV
z%{*rMIO+I${sE~wJWB=z)Tt*12~s*jtcc|YbkV7D{us-8p6uiwIl_N(5%rUIBNz8?
z8fqFY-l4Z~P&Ym{Mrd`5P<g9moF43<LAk`0J!i#5?LD#hO{0w%RWaakNoh(4#H*AV
zwTIl)om=m2yuB(;{caHWM@!cM^TdM{Z@qY_3-ZzZE{2knabAAMgs~1%|GdtRQsJkV
zEUgs1Z&H-@6_?_!c5TG>{^4vD6QuUvxoQ|zCPURdIeYe0t~OqOsr&hXxrln~`83$!
zi5#W7cCo;}-P*WN-oNf_q6j6do9K4yw*qyxNAqIr3T>1`OzGMPh*976leu?RD^t?9
zo;>>DsJ*}sOZ)c+ic>vIv%A85s+0xgMvL;$M!00O*n=SnD({T>P>PQ_HJ94BTjQuU
zRC9lX;<OYsDN&wg)}cY2Jt7|%(5#IR$DmouO)`|?(9<KUW3?z1mClL7&N|@v8c0i8
zB}bi+*wYlWM2FgWUTNdjejOz2(I|Zupg_?!{2bSn(4`zxkB7gcXh@n&i0&v<q6)+P
zLTWhlC@1$7b%O77(ey1=*;GQ6nsc*w(8Xmy32pr>q@$w;_K5pH=sPtE@8v5vC5)&8
z3iB}=tMxJXa^J^3BMr*PYcM%Of<dLOZL;ckWC-uuAO1$<YEu82u0_)1n3REvqxBgs
z1{8mBKM|7Crk)f@DjQ0eP*Tyyb#H87;$4|6xAjFGs&m64S?|9ll<S`C3qQL|&>s}d
zub`t#)kd^tzbiMT<WGicXkIeI8$AnE&0BOzKu};ujF%ZDsAO1Gc+3Ll-&$-`*VL!>
z#~EzA^2m&`f7dP<nrpSdx87~u@di}$>AM`g@69Nc!YxrR8*Pvrtu*+9G^EUZ1oX2n
zn^AgYh9%#m?6B!@d6V%QBdVUYK6|l@8Rb_$th>&ez&`VDBVR8VQ$xII1x`#;N=DIJ
znX?899PTaDBF><82iN}hb(~2}`x+Zs*R#N@>L>?829@R?y|;K5gL*TON{=gX0I{XD
z*-Du~ZN2e3Yrxi!BCnqA=icjxog(I+wp1EZyP3{QwN}!pH#!Nsx6e9a>}Vz7KVn1;
z`d18bF|?_w%j=#6dOJbUB{?If$&hNeDfU@WLY?B+^i0(x*$G=5IOB778c<>n^R_Bl
zDNvvNH!kl?biy*BBY#V)^{5)3dnPmAB&grUJs;+LoG|C|T<Fq-E=7wKZg5EvpeoyW
zPo#@Ep~xuuQ!XEkx^eQokh&I|eAvZ*Q1_N2IGjb_@8;8{bhkJrN*RA8W&T!->YF;k
zsrpT4GN&fx>8!9bUaE`8CoZlqTljCYwXOIwE_JG2dWeBb6U4mfL{g2G1L_~{4lmMH
zp={nKB=Wh<6RvzrU5m3U%;q>rIs_|F^1R%8RBX9nvfl1{sW1zb!<rXGM`bAPi{=^A
zwY-qu$=J9v0Vtc*{~mfrlCrlSx$-QUAA|o)haN5X?~;_djNdoJs4Un0nnw}^u!h(r
zMDh>|zTfC8@p=)J^iDClT0{_9Sq6??lJ>a0#CA1DB_Cz0mgc8!DTrNv0$Z7ec9^?s
z-$G|{QAOp~?}n-fqAe~ZeZbuoHy6$4i|Eagl*QNBonHk&jHy59Ke7b$qlK3Ly&5Nt
zO8?G_#0j8zfHySqi4Bszvg~;`4v-z`qic_;2teOKk*l3;4ff|s53lr2@?oouPASQc
z=6?sZ_c&SOkH4gE2~Qn)*;J>!WG_F4-~U@4pKS%k=y4VH!DmF=*y}g3#{AG7uW!g1
zw8YBnH6rY{p9uYAa?ds)e%R>hvJF>Q!c#{5Z&~sWVjzKU^9nA0?6AMR<HubKI0rL#
zUJmXj8hj62)l%Tcs+(^r{S_@x9^Kfmamyc~Ur_#uvIjr7bQ!cgspiNqt~CmA8zWd8
zQxASFc$`;^V|v}f9sm6PFwX?{Brz`Xt)|&b0Fs~CYu7}Z;fC$v)%7`3#HZUArbOBW
zK%Gt#9cC~1Y`<H^(Bc`wt5!Lv^o}6ThYdbD8EXn7-orbR!{>-QR|__NEfhku%&00u
z&=mX<jXJX*7y9EOQT}qlw+`7CzWR8^1YsUOG?JA#!MpG3?glv#47^Gb&DJ-;hIyyH
z$TeIrHD<@AW-UhObnTVomrO`}v(Gfi<OVBeQf!-w7{qlFygqGZf?4H!$G?pSnrl90
zFIyyzm4>b>p7Jp<?VFjNW61~m7Z-do#22_P;JRPfT?Qm36cViq_;L1CSy`NkByKV)
z$2V?fplXF_M}fW|RxN2)3EL+H&ujiNZ88kRC0$*u|5^ymvAUvPUP*&?Yx#%IMaK9$
z7MCn^Oc*NjQ~rjIvbbN!`s-?HjHE653*xpf#?=7X4?}Ho2&`h~1~wR>l)RqmZz_g5
z_wKi+&MIJvM?b1H+6Zm&Q8(kA#WCOV<LkZ%C0N}S9}QmcfkTzD>^u7<5Sd|KQE*TN
z!>`iq{H2YsG_O)-`&~(#KjqAE)LjiZ+FMoWd`93=IQMU{fHbNjE7^M@)e&O+`}!FP
zBiPI61&l??;6|sxNMET2SoYNHw}toPgjlvT9yx>!xfX4h)5P!Wt<uS<Mo>BHM@8L~
zhxfY1T^Sp+@ouH=p|E))5QDX+efB6~-0`03^_M#6%sff7UNlCsi}`<)i!!*ic0I0N
zqKkdjyA@N-8CX8hv5L)7h1kA1N3~~k46aw)^s$VAe82BubvM)ys%;V(XSd*I=BG{O
z-I+*wcw|bTLLD!M7ya=rH$Y;AjtjrA$%22;=7+y(;F_55kz>Y2@buNXp4DxFfR$qh
zI5@Si%a&!b?1V8Ci<j9y=rDz7nZENBT^kn9TAfw5GjP9Tr^gkx8P1tVtRdIvK+=v+
z`uhL_H)cLx3O2U@(RkyyUpNgdJ9_8k*D*218SK}1!V(=;zik$s)J1*X@U_pmOmy5m
zd#7yP3bC5az2-S|D0EaUKl+G?{`&?891?91p%n9|DnSqKbBivlzrw`2=pNr&GPa<O
zx+l1=)rVe{;BrkbCeA#qed~YI4k540V@|X6QM`NWvD)_we3{U^^pH6Lk&_$E--H;T
z%kZmQy~09XDJE0uUO?}=FBj~d7+^3->4DisBkbVjIh(ZLo2@PXMck+{0PD!otD5=-
zIQVm}IpYiqE2e(hmYg$yf0tINO(`9_6f-rNB^@AL7}YIeVt~_+v_15AX;9ESu~8$$
z0i`1KfsZrw5%Xy!*L`~}MDTS8{k-phnfU>}r{#K3(#ROU6{e2*cih4PA005tyYkxL
zV>(WMaXY*Gh%#ai3vM3!;(%=Xi}j~Y=q~K{#1mCp<S=|dXN66*1AM0Jw>LP@u+*r%
zt?{-b@;MtOm!5S%tF)IT?YlM}YL5lD_b*1t{oh;1);U1QHjPg>SPQkEKWg!$@<SoI
z{j0Tr16J+4*|e9v;Fb1n97Zfoyx2UM+I5?SpN4%kAqnbO8>s$;6q+JdcStvTy0CD!
z!ZFBIS`Fj>b#@gg3=>a|pIdjh6WFyan3Ub7j8kfi#KcG6iL!luofV;g1{uS7@VNq>
z3M}5Si@$*|uJ_@e<OkY!X<C=r%Hc?)@!PyfPl9bSM95eY_<8EX@vd%Z#GUfr*|Gg4
z$tkT-Jipl<lU3)3!k<ZEU+~;no~un{ThPQwzLR!1*?p}(p+X!#pZ9ey9)3>_wRm3>
zcwvit^9GXrO%(RKrFz<)wUE32n&ro{m!Nb*<Kk~;gz@A{+IVKxd(xk$Y|mY*B{-+5
zITTtbh^K0gD%SjNB1dP|J~$g=gG%A3$qWI0oVsiDA;-C%yl?dD46Vi*`9D7t`99>q
zT#0Yo2AN8-Wlzl~b7^b*4*&rF{|uLRIMr_$#_c_hna!~e4(A*k+xM}GLXkodO`;-Y
zMawD*MJl0$?3G_u<on7fBZ?v_p<#sVWd8d1x!&t~?)QGL_j&HmnOOIcoFXP5r2D<=
zT`k0`j3+K7oz#c@vTh>$-x#20Yet%Q`7tJuFWAh{qz7vW!M9^eH?g&^rddX7IOaQ_
z{oyE44-RrO-6659V{so}9=tZzfk^~<D4va?!wRkV+P0>@SfR9{eB4Ga=2h|{i*ZU9
zbd^kvxIh2FaHq4>et|)Z9`Vv~(peY08%5Xxte3I7ej)dnMTaq|8->SMUh9Biw&=BR
zh9yi7mmX$S{)Xj5w}_C9bzsx_lA_Ya0_HNjk=Shb6ASqu=Wq2)8|Kx+`KkH~SZrOA
zSfcX;cJ^BZ1C62$^-Q=Gxp*GiR`Nt_;>r|uMf&sY!7>`WsgG~-cACdHZKSIm>VIQ`
z$xr4<+B8_U6ycxNn8z0WxIW~$K8NuQC3o{ar$PaBuWul29xJq94|r_0fU(1~M?scU
z2-q&DeB#JF_DQ25riO0`J1*mr=iEa9=a1Clrswn6WiwCd(+kVkcAX%ByrUGzF4s3x
zGhD!)s&!Y&FRox&2lkoO&uW1_yGc;%*9DB{a*;!f$QpL*)!zAeIW5?cR(8+6Xb}rF
zk+w{7+rW0_DRVD4YeK_n4{alT3Hzhhy6sNa7AEFXJ>QZ-hN~hUTW(e^W38Qxga`VJ
z5D+^#erZqx*21?Q>n#7lO4n*su_sJ0J^3}&SXl!|S?lY$o`115Vg0Q@3JdhMZ*r)I
zsspd9uM*+UDmG-u!(RP`6+Axg9gXf)gTSGzX3_d}%yja_gSv8dXwP|Ok*2E#XSFMN
zzf^2uQgNK`B1$;nmz=p^_ahQK6Ti6ssviUJosKNq_mLZT?R6I)3X;IQcPnFW79;#u
zFKX4U%LgLvdR%!4sz7KQK2Kj{0@{aDu}6**fWIX-CQn!uUhqW+z3^gz#8bc5jk*M2
zi(Y7P<B19^Tsids-(rO`6~tam7a_3zM84o>t^y}^QFc4y>`=q|mS2ob1b!`yJTIP7
zhV!1MJw^&R;SuK_&#6ICpr5{DHS$CmetzL#UVX_8>?b@biU!0$rakZNx}P%KGX1hA
zn2!&>DyROoXO#pzYO%r2P8m2I(pV|h1aNezq?LL~Lv6^n$BCc}JOu?W&g2TfhpQ(H
z-DhN>=zKuMs_nmee#9XmMIjIt?CUgfA%bJX=)=81%CO^FSOc|57~JS;1BUPAVU=4a
zZ51hl*bw%uF<KOk*PYC9^;Lu&<vZC{s4DOxGL|>`v>3Q`ZUZrCWiU3XkZ0-s=Y!xW
zkI^s*h#O0{+!|8>yOQe;F%MPY6MKAA?NcdmQ5&_}*G7WRQ-X6bc_d(Ry#AfUFALmn
zY2?;=b@<Jed_8_n4Wb6ci*wuLpgJu3Izv4f3Wp|wjz(!fcHU+A1!;NM+Q^^V-Jk_A
z36k3@yfoqQtK+s;BNSj?R<E$^X9{#uTAU3XDDcRg*s*I-5h|@D6m#EDq1I(MMLdHF
z>(R`=`2P92^1?HHx{wA58b`jdh-<^tbp2zgX%%4S%DG>DQX9fzW;pR?9cbXJ8#eVK
zf!{Fm`It>@7!s(J%gCU^<M)D{74Ox6>F|xYP<I_r_4*b#nV}EOp*zy8)ipq+ukP{m
z1s!;3WrF+H8$wsbpum3~WZ+J%k9uXR1Kwxzopw$cgLv{27v2;9?t#^fw{>Vkb7$*8
zC20(vO$PYfrD*~G&WO(OMH<+|U$f$R2ylTlVIt+Z7IcR64Y;&ZAz?SR74pCgLNEBq
zI4)_y$qU0z2~HG9(c_AfxL^*9eoh^WpS8f|toc<Qj0`Q_=6l0*ETFXR&6K{M7IZB6
z(5M$lu=3Y9??{sccvSyoYb?=(_42CG<Qq!B;QeP;pn@gn%)eG)c}RvYY|rk~?+{@E
z`|j`OWC?u_q$+!@HK4<>uBtsu5^S5d&rQ2n0%ulpQev$d$mqW0uW%5Co7?a959nIL
z+Kc~!)HhV2RPT~$c?CD{u`=#TpR<69!fLt(Q3bAesUKNC!~hauNBMUoTfo?W>AMD+
z5=e<bf853-hUhu#eMAc=_G)2aFjW92{`J8)@g}@mV)|fSwmC#_j^DXtM+97O^WX!+
z8C<i&&R$x^9Li6>$e!ty0WK`O=N!XdT(Mn=BPPWR&hCFX8>J%&nkVCg80ieibvU(2
zlGhA8*Mn<2TepE9>1E%m5hm0le&CeCH2}rPyqxIU!oa70bgBP87IZ6;lpx9qAbO|q
z(w+MPkW<XyRQ{0_y^gqWB$FS5nav+RHlOoCva3A%n_xENJ?C)fw5%xv{mSxri*vy3
z)S<_^|FNOQD%Z9K0}}|Be^2;p!~)k1mb?=4*pQ=b)6xBhjKQSv47q~D0OMQb1D8&*
zp{a`n%r!TS;2S9-;ym+T%zsYRpC-bF&R2JZTQ?iR$=dRi`rvu2#wf3Ay_^+&zim)_
zgvAhwt#>JBm`q?Rk!SYI>|#Z-E*BS$*%|<qKUF?7?F;63O|kLVZx$4_Jg-rkrVpxp
zJZ0?jEtv9BLHW%r7L?ZO-12cw51K>H-9FY-g<mF2qaGg?)YZ*vZEvp!CK0r&pR(WM
zI|HWKt!!D4%saHNvYZaB4~A|F^N-*!Z;)^Quwg;lTs*33#pvKv*MDbCV+_B_dnD}l
zaTesX=gpQ#j4m{rIF&wYox;_mZaESD_5G_VPE1<Sf%my(VtK2x_|HIThkIKrh`X49
zg~?wBh{ijH7Q7a4-{<T@X_r}1ir4$YmQ&g=(6ga7QMrUSs^1usQeZ=nOZa4VS{q&o
zUKDnl`Ge!vvzR1)u_5~(=Ut}eY4Ff7Kl+%&DlT>ZWO&|3c64XrO10@l8Vp|OdUf7>
z9misYRX3+N5XakZjmA7Q==)w6c=pUD9yjigc8$b^O0?_FEIguunm5P2?~V+}&DQ<!
zSRywHEc<#YRG$hfo+gbg!HmepR4;~6o)_6#1TFvmKmqX+F>Y7^6N>ClezrNnhvJjq
zcVq|!qz8RjA51c%YSx5x<&y*y6>)ZtpBx1y6vNqhF;+w&S911T5I{7}zK*3dEvSu~
zyV6>~hA3r~?BRKWC^MM9iGf)QB=`T?K2PRAItg*k4YNY%k<ziGfgnxb{Wa-`cX6WR
z>ioYuT}05PO3<~K6*4>{rJp<cPj?B2)Wr9%qUfY)@J)#QH$MU-#-z^iqMr_xe*0p@
zklfxt?1CB@j&$DerC#JmXJuX%yYH7kFRFB(jeXI8{V|i`fgcITXqVN&Y-=er_v=?}
z%o7br&o5<Z<q$+8YKc|%4$Gi3Uot%MA~oQh@{*g9gAj^RBi~ndkV68wE!!6_Xn^eJ
z#KV&R2_wbAWJ?rHM725AViyuLK#`KZB|s5H<DUILuXM>H4Qi%bNuvfVdiO3{v~5E=
zW?K_eYKq8JN~pqDj11j&rQCU!#nGSZzIT46Dk1X7x6^BP$uMeo>)PABl1Oj!J?AxX
z6*Q4E%D82w2~m$EJbJC9(YE2AyQXqgQPmAC>%%fy@WCr3dD}i&<gN0gkjYdHy{A|4
zr;1Tv>ba+{2$Dl#T#d1|1L~-b#o}BIPJ!a99jR8MMAScKbfDxc8I4t_nhnQLVOv&I
zJDpzv4c6RHz&16JXZ`Lb27em7W+ykASt_EdO>;+O3@J#}{(G=@xHgb{2cC>xR6_3)
zlNMsWQIOS+qKu$o9SC(?V9BXgM()pECz_q7B7M`w5X&uHDEy!hCOoBrI!t!u<bS84
zfF0sKwgGw&rE)&KQ<#M8Ez3N9Y0%L8M7e?lqX8T(3w#%+riO~1dcVJGMMDxFHLQi6
z7(&FAo6J5+>gZS^=T1<iAwwh6-9Gz_0q0H4*4<D?-6H<C%->Q`v@P3|ExRdjl)tPQ
zD9}K!1Qn}-jHt*t2}WE?G4Lm*MUE?wQAkY3_BJ01iab`{SoUwPG4X}fkdBkl!5r^R
z(H2c~o2M|daIYB*core~lVsFGxb&pcNdr}8zjHO1H3PNW36E$p8FA^qqP<Qfp`Xf9
zUKxJokaC2(>Rg2eV(_E?&?!+y*89T`=5?8aK#PEI!m2tlxV>wyQlSFs!noGvxGjKA
zNWJ`uOC4qWSleM(B!`a4nEm*nVgV{0*39gaB$Qw6{BGlxBziKKvF*B|1r)xeRcB|a
zA_lL>qC|C3bde*gU6$1Xy8d3Cexs*?9%e9AT(uBDghP{Vt#8a>SG$@2N{tfgwE1FF
z-N%VCBTSbTBg~<D3)MT26;Yh2F_qVu32lG2e_obk4#VAC8_pT>$V6;l#f*OiKfzij
z>C<cmCU4g3ZxV>8q$pEr)aMr-p7xymoQoOENh>AZl8{A({&&(n+dtr6j!7?=jstk_
zkD7O&N}=-B{wik2Qq1bIfT(s5z&BajT<U3Y<T`uQF?OU6vzht5Q;r2dLMorJwO14c
zC3Sq$H5$dD*y0U}l`&9nPwUF{7Dl;#g^5!2Ke31duippQn1Xo%cB_gkh*)&ScajcI
zV3TL7ovY58z>81uZf6t-NU&)1>Bk$BSg@s}pG2lHj7yUL*d_5G?=_q^>((UpN@Cmh
zvG+!>HQN27+K>|^9W>IBt)9TXnQ)Ux1S6315Iy+Dhz&^<>)H1hj$^kt%-oTKA*c&E
z${xAJjBwHF&z817v5`AZlY>(Yz|oA(htn9*u@eQ@Zo%&upO2F}&zL?mm`B{~G}y$I
z^S#);i$<`rCAkNBhWb#fzRr+zdleTEIXl$pK7=he*@smm=|Sh`k+u=fKlpBT1tAx=
z0qkJO^>Bk(IvhOea@Hh$5%;F*YkT;<$IND}=i?peU}{?AiuC7k^V@n1>3ZGR)oZtN
zgKBjlk4zad)|kaP432u3&$eL3%D2AYin>tt_xH23!6`g6svvJh^f@-$*UM;h=U-0z
z5=m?LIf3ul^HfBNl7%VeKUHX8*MW#L_a3;P9>WQ>TBh_H={Q@Lm$$-YZHV4#d7kX~
z1E2h~dnLP|3YR=pdck^?1_75Ss~pe1;p>qf%_`bn;;W5s*!V(e@I|pTcGztckJ^4{
zhGVl0ceFOx;k-tLe&^4Z9y^TS!vXt_ez@`$Z<#-p&3Tmyr|;}OC=)k~t1yJQeV*^d
zx88j4<l&-%KSR2E&E{8pd9`v__E0~r<9qd(^<4^3R&RJO?*ED}D)c>C?-;~wat4|6
zl_<dM%&V*`^cCNu!NerAeFz_Nw`(E$Yk^62U{I?1SNzniKksCJ4dZ)k3~HIvG(mi!
z@6bZ(SG@CS<q7+yQC#r-x%rX~GLWQ5emxq)_;pkD?3VKH_?xAScU(+lsL;KXiT)eL
z-ydduJY4e=Pp6p)ubF6o!b7d-0nZWKy<Ci{H8PI3|EQTgd|4gR&u$p^YLDWM^}9JD
zw0_}@Y@8NKt!f}Xq-ejc@ePmT2<=%Zn8yEZJnJ9}s=;{DRc~Fp@3?$V^~QDeS)5t>
zVuaUG5?IHo?VC>d@$WqnIffq2;j@oBw;F3zVSi&Tvn=Nre)w{X^E284-XoXFKowDi
zBNzAPIuwlKT#M9T!mmZVH!+E`Bv1vuO1*#kAaoKJ>LHZcbuQy6t&LhbpOoR8^xVy?
zi&OaD3kCJ0Pb;`<pEh5Il`<60Rvs*<oxu}M-9GwGY7NhL#y5YlQVF)-ujH{#oy8CM
z+ZRvY-N46VuUH>ZQ-W9LUBApO&*6{E?Up{OFrb%H0dDtm6yYFGpzrUH1-xe0N3Eq?
zMr7*v@w}a)BCyG(1-HmA;WxUQi=u6rk=w#&uZ98z*lNluc3)Y>{f`-9nNqBXA>Ovm
zP*(wzlK<-!+FZf;m-<;6B-zmqOJzURSMnfq@_E4v{WW}NgJi->drl-@nR$o9Qy%=A
zUDTeHY~UVI_;#i`Zlw97b|9QV9-2w**UnHGkgzrN%#IU$XxO7r&%S^N;U2q$50o*Y
zLwylmK1BrNO#HfX{vZ*;ve+5boS0Gc%%SKC8$rZ%rDl)37!i`F=aL!}SW!j%>3}2w
zVWg$8x2a=T4pi=aIcF!&j-qQc=)G*BD7RBIUB6lmnz@$sjyQ3m(OUuAj+4a@)3AE+
z?F>24eD{vwa|1VG_h<C5i<Lm7%`z9x-IaroHCMi|fBMe;w=@_hBaJxS#(yzAk%O@v
z$Z92@fC^uW3eC*QqHC`^j9A{tfnZ&oL7TZCT2>G%o4razruQ_976ggVYm?yhoLLx!
zXxPc{krj~PwAu%ma3UCeBAvc9BZ9c?jdwp>RYbL#@dfpK@-Uo5pBrWsL)|JqvYC_0
z=+Z8HgrP?sY!4-ejqQ>^3|)R|Q){Yd5ql+~+@%1LSr4~%y_7;}oA~uMb#=5g{qdw1
zj}jpLZ~H!;ltp;yt-4czWK?rSMQQl1GQ?aLRp2EO(USxD{72tup^)y$yOtrUFwp1Z
zACe=FhDYXqg-B45@lH|p<8^8<dgcm0vxy?wyW+9C-kOHuoJhhxK4jPsYiyAkQ$inN
zt=U&jY9o4RGX7;d1q94YG$J!p5b1lH=>7m5w3EtGVJSj`9oND`*IY=*+UHM6`(9o2
z^Mp<KWjP&q)|Yofj-ZZQ9?G=GZt9|&_qONA9;bt2!67#1Y7Jy*^tEK}Fdf|s<>}S?
zqz`OHwLjND6YVcZ+xPc09eJ~$q>Ml#c<Ffg#&Cuf3d-${-zGvwp~jpY#Y9s`UDs{p
z_n;uI?`*Yx_PXfTm}vXNQGl(T*Y+s1Q4o1fLg2?X9c0TpFcz0<26u(E_8elPqBZa|
zNeQN*#){)#8r#j`<NT`J0|6@9|3}u^IGlnGY#GiJ{^Mw$;lBr#$0*2Et^0>phz4R7
z<Eh}iW(i$m5_%9zK@Xo-dDC)L(ChTiJF@w#pyqw<3E^2Sr2mVrkoSc=GFuxaH@H}V
zjnJ&=rvObv|B_ekJt>JyTC)?hysaRyYmArmU%ryBh!tR17eq?I%ne}{R*+$_-^?*v
z4b?1q+)o&1MJ6`Fdg%+6AX1q{zj;m-$@~tiGW+=(5C2XG$&9dsma-uwIdx@382e9S
zsO$@NLE;`y(5eN5n}n{i4l1Bt`4%hJqpMhw1L+ydF$-v2%G}SIKt$c?*9TLxSwQSn
zG`YCd9KIj4b1KP^K}p`eem>S*z}z=HET(D>`RW&@i5?QDN$^94;c-65VRRpMzG((-
zv}44F&Z0<~_V*V@CIMzQitGu?0R6Uohi6j$af|qUI3F(n>7K9mbe;g<Xy7<%Ys`n(
zG5F&nCJ6qujhRsm7{v6k%$JU`Bg!Ld&C>@2;Y04W`|7wUtekOOzAVLrh}!+NL*9b0
z^V-Pxwr&&XoBTQz|LQNU_te|XW}hImM!u$dO&kB?_fKwyp0l_f)8&*lvLL{w+YM%M
zW0);Fb3&&6E8cP^lyqZ50FvGg4Y%zv0)_y~hpRF7@U@7~LRN1CU_Sh(UskdqJoH<R
z8p#>JYB6o@;%ot!8Ms=MFl+!Jj)SGA*T%81xRTWVXaU%smZnfnH-MzWALO1a&0)gg
zhR^Q@3jpt{^4B|4^kLv>`d^=)%h(0?M^P`s1i(rKKhnIW2MYW(1&+tou>Q{`dMEA(
zz%k|ah^&)(kVkBz9gEn)UJ7W?SegVtRok`W+7KOj@BQ^uD`14<auq@UaR@>+;fOT#
z03Ck*GD$KIU<Q9KZAr5eg0Mwm+Y0!s3v*Y3udphzf}Bt8y!B^6h;tzO>K)gGvpm^V
zo-J&^npGEI?JETCfXjw2>cC~C3gI$04sbYC`LtL_7%U9I-yu#1P}7b4=HHyKJ$XU-
z^9NywX_>x1psWKuYL4GlBe_A-$fnG=LIm0jzF)U)*M_`L@qxxNyr5}qNud{rLizn{
z(eLNAK|)f%n9#%rA9Du;X?5FRtzGvPi;6ZJmCQfnU_^jv#8G;0Tnt8+Z10MU(BNWZ
z(C7&n0q{y~PH&+~K;V?7*1c>RY#+55NZ=8Kz*d%F_Ir{*cTQN9@uNY1awew_yAUv%
zirkA6lZG?*SbSV9X)tN9dh;AX7<`=Xve{J0z;hMzK`uoaG)>DjZ>oyGq2D(4>w0n^
zc4puZfu9DZ!jd-Hj-tRo%zGOwPlUT)Ls>o9XdulYlFb&s4G!^77BWl7!=(CoD-LcN
zh%7KgXb+0PqY9SFdT9mtnfSs)Q-%gNKRDTI8cKln8+6f4LlJf|neFB>qy6Kr_A${C
zNsv97`BlME32p?9-5fnngObvr>v=S3u-nIK-+V+FY9INYWU8aV;)~cBxpo=gG5<4V
z9jyZ7u~^13VQnDJISEJ@$bq?whzMi8D#To-pV$_u4XojW-GRbHh-wJFeWsNJYf@w{
z_?JId-$yRCE)k)!awOaElNzkBN@o0etOLwM8C~m7@*oiDdslZ@9gdW(4u$U31^4qU
zgY_>JKqb{t`*@cIWU4RDwn@^V^)UOBQw543?OR%+{O})dJNAf*tkNN6QY4djQwbWM
zObB`J(1Z+2H>`6?57yVS+{s?bkS-?4w%(`-+ufSeL+A7%2(Oq8qN_mV;<fMWY+4Xf
zHE^+r<=?*(d##_mqyp<#vESEuw4i1WdN)lp0@Y1lr}0Osa7{T?dc0c`cs1YN>9;Tj
z=?|TMK2b=ZUbB2Q(N+_Vx{_2W$NtR+^TJuK91@(9GO_i$N(TCTg_LHvDIE44yd1Mc
z0v$15eouc5n9jX&{7n=Fg+GoK2+FI0*;G-Ios2p>;+#8>W(3ewvL551q6T^Ky=yYb
zBnXQ4oxPh2Fs{6CK#xTYrYv1T_YbJRO3P2(7Yt?)T_fF-RzrgA!+eMRHk80urYly)
z+6<b+^OL)*NWk#gYa0)*B5Z7UrX+`%0o8p+nMJ88M5Y+3@ruerFz54otq;tA=VzDU
z<$peG<l5<$D#<~hJku!Y-~RG%`>-@3s{)}MrZ=M#rJy{$V)e^IGcb6yE6s<d43wP)
zuWfn6VU=r~a5KgXv^2%t0%%GQIG5(q^Hu}`dap+qdYFOkmECPVN{XNpzbtrmOb|jF
z_b3q6%|O^;z$=TO0KzZamHzA_!0ET_lUJtzG$$(V3jHO5eU@S8eq$cEGm#_``vhP(
zptKtMCI^IvX<<wkIY7<Ul1z62n7rvaL(Y{2b2Fp7hU2WD7i-yN#|H4XlP|abo-_<3
ziaNARGJ${E@e{d6Fo=);>^YJt30?B5$E7zJ;DYjlLjFoqFj>m$zR)5L*1=xCV~AT=
z>qy3nAy!jZ?D5vA<Pd`jZEil2$_5rf7>h67ZvwY6J5nB>5``K=m70~`YuM(gz;plQ
z8$+L&BFDLTVGvrTmwfVE!<P3Qzxj3D2v&~S?8<r|1Z|vF!fuDxFrksXJBIcefwt)D
za>8*zAaW^@|9o1*#C-4CX_Oj*h~M5}RR;l3;@7pIH>_hD_v_9Oc??1JNbLP}cLD^{
zCgLBjY+xDNKZLKIHh|077QbEy^MmKWx@qdAEo@fG+i;{;A7n4rX)PD<LL-YwD}Ocv
zNVYAd%$w-LjvVult`Hsw*cDBClg$X@rn@d!6zjoEKfdmLi5mp?HeK5qnBZ_$Y}j`h
zJ>ao+Q~6WP1$RTvdK%6%!w5@4_V*Mz$hHO+ypiXEN8)?9)J#}mdU@;KUI983blw|3
zSI-G`sg4Q<9<f1}*x#KNw{^kOdskpt1Sd#%uobC`bHL1)`k^)vU3kkgK)HF26Z-al
z>$zUU39TR8To@kdKt||D<>7cvSp9k+_nk90L^x`-a*%bvxPKwCuZt5nwHx?5WO;$%
zDstsQ+Hex~xQ@`dAiOH#Z6Yf_%>Pys({<5?aGiWYTQe63zCIGv7)^lg`RvS>OEd_!
zIbfj>!VM;_B4NY_0?=%scK6SH8kh)2eR{Wt2hQ?edu87!2-oG#(3H$+;HhU_yk*Y|
zOy;h-jq5@nUggDBG)IN7KN$j2=lI~1BPo2<P6QqeKbc&~qe50$PUMFd{IK@k@8`uT
zQTQ6}DRcWc6^JwSp`7;#kY|j0w(5xiA<X?2mpT=kW}H6;9v6ToPZ;eDd&MCj&2op(
zUkdoN*y3F~1VK(v^MX{IBuG7t?hklNfzPI++6WVZI^~@6q3+T^pY3bssi44stIOz`
zoiJ$MFHIoW%R&I<Q}^gY3OpN>n9w>W0z&<>gOa6k!2D(_Nc27h?2mINu9b<x;H!qp
z&rL*N9|}{S{C9qkLG{WAix{AR-O_zy^6=)8(K>oY0UHTBl3su~C}BYbL~%t((JsuF
z`b2@qBKsb~iUcq!4O4CRD*?vHW}YfUg^LyQB(=Lzpz%8Lm0pH2ykHec_~AhXv+Iv!
zJ9f!{xxjMi+N26NgQP)qBNa~b3#Yv2mV^HR009606qt8B)$bd|IcE0e*z0hNbDVSR
z`MHf~Xs66j3Wa1unMuknBS{fOqHn`ibRH@z$|z(-q(n9u;pg}7^T+eLU)OWr_jSFW
z7h&~0?+jJoOrlR$wE+#7<(JU+by-L;_FgZIQ-zt!^qinp8k{M3U-D>C4z9l|E^F&h
zgL6+b&KU-4!Z?{xmbxepitiLO#&?k5#UF9WNfRwN6!}q)Z$$y7{$nvIQYFI?3107h
zS#5~+5H}}pD8l6go%kA64Pd9)Ud)!#0h0yUFI`&%h~{Fyzp$kN{|<sdyQVH&ZmPIa
zu&xB`XQ>NA2PnXK=A!wyiylmEURx-eREG7tbFMuR6yS1FvD}fX4{H=w?OQEGFm>r?
zz{gWy?~Y7m#u)<`pKav{Nl^j!o;mz8ZweG7f6+6tFoFjkCBNS_Rt0S_%dYQ=6tG}H
zDyw&l0i`?W?`=>8MS@h3jk5-9?jLH-7&C!mrD0FKl-1z3;l|jI6d4|CpNnVX1-KU&
zC{^pI2KsDwbG_r$;e6*E4#)<0SZ{hn<&+w<DB*l5C8|KCto-{eVG8LwF8aLsYS2IX
zlRlS21V>rRyU(LdVJIng$$dx_q^gp?sGU}Vinp#qiruE5J6!y%>!>OmJL{v<C8!9$
z4D&5lc+8;Kh@m$+M+MBq!w)mQk%Lfmf#ttsGvJW>YQz1O2z(!1#vLZ4frrp5#Gq>i
zO-?sE1>Y-!b=|8V(?oGl;~f%jCz`?V*%$U}#Y$j;^+tI|h`@5lWsP=LGwAK8I~W;G
z05gSOsyrP6Fwz*M(cWbWC#`OCd73MNNz%+>6rLAon{r0YDW=fi^xt_hqXH~6mav%l
z?11<=jVpzgrr>J1fqPdg2ibVuQimL7h}eH(OKBe9ut2?^SGX*gjF$y`eaHaz^$yO@
zGXUg5zjd1?OT*}2buB{Q8pgF@_w1lPfby`H51)Y~v{$Dl#CI%VW07Apf?i?}3XkNL
zaN_WsOMd<>%REM|vUW+DHi6iD>msRXQRq&KI8&E3jhPB0%q^;!fWZ>2)nQW@V)!51
zgfdTJM+{2CDCdkJrl^(Sh_(>;46|7dtpCDxS?}aI{+|&X{uubAFjW9hg^7t8_6xJv
z{qR4f1w&ZRe4C(&=ZE-sahs~tUs!3ujRWGwhT!fS)qOCI7y2t|N(37xur-eF{vq)O
zu*I)e5UtJ)Ul+}Aea|MbJ(WLve24Ubr}-Out1u@-rWR-D61VGIic4eD(FgXU$2=m<
zc0i@19cym<EOxu0<pq|a2M0@ha%-QlL2*REDH+Xq?CkG?ojeP=u=kF=dHgX}u&6F$
z_s1<_Xqc7N%~ltb)Bgo*XtRL9m&-T17nZO`f~_kW^*Yd$;UB+$H#6MGd0Lyqw1Ta9
z1mw6<bfCH^)O9|A2|n@%<z{QFVIt$DXMg8u!`1ePfJYlRkS*8Thz|OPh40F)e1q49
zBQd0^3wLn9fh%0X4QyhieY>N&)3iXE7p=Up$ALKi>A}F~46x*#GeZ*60)--$SZgyJ
zTweWU63&Q&r3lN$_ZgbdlCp0|cOMQsZHwmyPcwo2-W{_KWi+8PR5x$^5)O>7X*0bT
zVg`!3&A+Z<8pN?qJ@IM8fyZ5I4ksU0kkqy8a5thsu2PX&y%rPv9BVgC6=etBgO7ZJ
zJE+k6tM6h&9TU(@%za>R2kesM|D$w{3K`Jhe9fB~3a{|8C)RVqjR=|K`#Y%cbx(0P
zi#`iDj-^ZYws6CE<sT~le-!Zez;f`4A}g#ojysjE@<N5t^kBUW1vWl>)^4P*flK|;
zuJbDVaN*GXLPll^JX9xG&YWO}KgwLovfcu)xN(7Q=c@ttU&+5a{$dAQm@mXHGz&tl
zVmGJv4>GWCG;-xCae`ZT`^=)LFkE<3zQ@{w41bLriVNRz!QYkqRlOb&2yU-g&|M=z
zXGkjbYAg@T)%vHk#EU_qO7FMAdnD+a$x|^f<^#81!as6c#Q`rDGI0D52?WH74*Oa2
z!-Vjr#C3Z~__&@|v{Re}>deVfMg9W7N$j5H4wi;fjzh9<SJfd4s_rV53Bolc3d2h$
zS*U(1{x5i59nwNd(j|F?ft=@gHZ4UCc>lIP_hBQ!`o4AHifbZZUc<ax&?gU{?hy5O
zjYv>%eR_3LObqa+O@>ZtD*_+>XrgKw31oU-%mg>%;m;Xeo4i~Cgvb$w<^;(QKNTSK
zIzs{+RK+F(q?Cc+$)G+(Cqn@9X7;VCQXqDr^TJF%5q4K_>>s|T0dYN<hFS?SFj)3{
z>aUI}2<NwW^&Y1{Wc-9Uu2&Y~DN8r_KB&Q^LVwQGO$u1c>{e7?mIJfGOV^bgNMOUZ
zCDrkcy4@dMk$KVz@FjfN(QAkdtPQ2XC!W$kPx*Ch$$mvBXt@`pNT5I-vs?7Z3Qgc}
z2|e2tMS!${kBVB&6yR}|J|;Y>1!X75EU6VrkZjG>9d?uoF|kaQUQ`_j<Im4d98-o2
zCki!-P6Y?AGTo+ZT__}b-3(+^fu@@(aqLVq@arHPd90)l2Fqsl6k%1kq<=f1NR$RX
zr!=jC>kWX#&NYyGhZ?+KzC-f+O9e?A3-_CzMv#?Z#(?irgPB*i+W4}mptq3u+KJx;
zh`|N-Z$zp?J#+fI{O$gJmojr=;6Dsl-g>bbEvZ9p`2b~?Aq9HWKaD770$erkf3lNC
z0?DMQ^!q;Bem6;E#_u+T$!M|EbDAW$8RaP$%ApSG1&YDaBc@Oh@PsFMSsfU!<DCmm
zsDP^3v+5E@Gq_+|j7^59gJ!a#v)5H6;CQoP+FoS_I-52!vJGk=H&fU#l%fEmT8Tr-
zi)N5}>zx%_pDM%-VG_3sWML*cwMU-U90pxD6Kvn80N=MsIs0M>P?)pbU&?6?U&VFP
z)k26sJJ#oM{)`ATeD!~{Ib{Yejf_L?cx9-rsL-jo%MUg*x6=z1W^m0@;Imd90TKo-
z?uaPk0K>Xu=0R^WxNOHOa!Fbde9Ly0-?nE0W)D4oW)U+mGO%CtyDbk4iKC`<2i7pr
zzVG8_N=+e4G-B0<Uk*yro~7)RnZ<-{4HRRx_1RUx$EdF+1J(r;YUl7b%sEW8;b1?&
zBihaJ)dQ07^eDXt2d^+3hyAkDIe@YJsoM5Ccxd`v^W|t$6J2RXLbdl220TVn-_1Bh
zL9uQ+ac=4>o%Ulqs9gjD$rpq1<3&PX?me#nOF*>0o*g_w_r3q{h=!2~oOw`_P<TlI
zM8?|JUdoTruLb?qDmh~e2HxZ~p<q6E@oOdT_>muU$Mw3SEEz^{bt#<Fa4$D#oQ!X1
zaQs0(s-&eF(q;(wGNqekj2z%H`p$76dW^1l{_Bb|hapU=;P=JwvVr@JzoAVmqx80b
zt6G1p4WO!h54rw4GrSG&OBLZAp-X*IJO4UeALcCyG1HPbSiEb`Uza#Ye=pKlqd%qx
z8jRVDyZISF$?uU8{&p|@S`IOSs;38GcZfIsCjP?=FUFYRPIu9}-`@&yy`>AR$!Fdr
z_^x967{o0&^jqm7FC6;fW^{n5c$Gn)zKq@3Ivv~bq>lbx^ua&B!#aRn5=sd=zleG0
zuy>U&Jf#av5&6fewL$tUV`^Z~JT_a!@A&&u2DWhh>)!te+K>h^CW;?tu~)aR#afJ3
zW4jk5i}KR70Ph63(cRNnfz`pq(ZU9-ls`TG-VQC`><^Z%O`5`D=d?^?1llq8flA$=
zE1FPM<Y8M>`5TMDeMl!)ea0p>&z}_7put0P4(8OI6WF3)W=??hS8SE{%&UW;+w+aF
zJu)Ew!ifKD<-hg}Vuh5H7||^%^q);%YW4VumDDuNY*I(CzVXX8`>#=<@!y3{jeo|m
z^B(F^rD3C3b8On1As#C55|(quD#o#xA0D*A&p$BlE~0i>76lxlNxnGxI5xzd@~GM9
z7Y2>Bldsh%u+^L_%8&br`FwU@*;n%$v)AuPY!1_aw74<J&Cs7%=CQRq&+YzT3dfym
zO^UYt=!;|4L((to`0r0~gWR*&RfaW*ngJ4+UdcLLEii!z6%rX6qvx<Z9UWO!VG^`F
z7>#XG+rC$xul9)W0+xL=)GqLdI=C0S+AVi!5<7h8*6+)27qP!tZa<SU)ZjT`D6VUL
z3i}rIZNfiw8OzD<7W5ubg|~Yyzj;zVjgf<JTlCl!%#+kA#6?wwNbhv<)T6VQ)u&JE
zTE%OaeXsIApBNQ5xwqY;&T9@^9EfjX-}r|GlRghV7$Jh?*VU_b`SaM_gvsZF(OZ~Q
z-btMbGa?win%hyvu!xNj9zS+hWQ0M6vh0sfl)*pYQ-1uFCG3(+3?q7sgM(hf{UV~u
zP`50u%c%Aj>yE76D|nC@GBb*tKEx?OrQM^E2Mnv2=$q-k`{Y=GYJ14kkVOd!CE6$4
zS=TX3Hb(I>8Fo;@Zq9#*AwW|;kM0N9z+xV!`~5tyJ!cVIu^YSu===G@>P^`e=D9Tx
zK2^a5Wm_Z`-&{pdIS`~gsL2RC!(59bdtNXfw@jNbRD_EzhvL3J$3ajR{C*?D4}KAG
z>?ej5z+(#HULRtH&Z))7*a`s<6<{s@o2&rFcQ?5hq*#Ha(Dx?_5CYBUsBd!C3P7HJ
z@H|bJ9d?KJw{$y+z(uv4D`_GMkdc04>IudHm&0XF*anJ$N#ZTK+nhXf+}asfmBR(k
z&Ki#OzYzzT<Ae|2H+h&hzHs}J0WZ`viDmyVmV&d9{QYU)<)Nxrg5R5iA6Tj-yy})@
z!2ie%>&Pv6NY<yX%x4OKu5t5JL4X{byBQh4W}pCXyo%l*-7f@+a!oe&+zKENJnbx=
zp#XF5SuZiEih$+nMe~^Vim)PaHa1975y(!dTSgjUAfA^MF>`O*ZyCEKU$ra3aG$H_
zn6o%Y2JjuTN+CjU*@&?7YXXeKCYJ22l?1=P{UU97s_<!*SLF4W5<E2*dAwjH1Em)6
zD}&AI@ZL1;zg`<6_!Vad+})Cem&@;G0vR-*s4e%VmY6EE3sCm?_{xK+MXA=&Yzolt
z`S0GVtqyz-qcR*86(CJ0NjkZT3Pa%>hLh!F;GY~7V81~C5254}#~Wzy#hbk~r+qs|
z6u7*}P*R3-4{rUz*J=WFf+Mamj0S6!m9l=#L=Yj~yWx6M3wEBSf3QEP1=-i*9Pl2h
z@JB#N+nA;e6+fh`3_^6E*@7ciZbc2&!dv55)3o9Br_CsjIz3nw2~M{2Cc$U%0MFFN
z+A!9bUwT%>5S~8IZl=8=gJU_J+~T4QJl3(s0uPOWtoB(spj`uA-&SS2P^ksYPgA27
zxB!@z{cqt9Q9z#K?aS#xO$ZlG>sL24h0C5}4UxAf(5JDio2gHO&WBNiZwJi4{rC~z
z^hXrPs;S{51yaEMKK<i4%p7(w;S=4jQ^2kN{=owS>Topi?yMPu1sw0rK6ON&0w#{R
zElj~gI3(3UWl69Ax6!M2tb#RQ?y65PaZUj?y(?TbhAn`zp!3LAWim`h^t8WNlm?H#
z3Os6?7O=EKsBTxHItabJ)B19oXMMXGben!#K%?xvPMJzoXsC}}OHSs77Z>e+?EcRJ
z{7hFDbjyiQT@&>#;pY~%<utc$zTW~|WXs|%XD9*f4VD>vVg#$3;3>b}Z4S2>)5$$v
ziV#rFe!HIe2i^M9(%wD$x6i#=Ij)(>g9hDUEcg2={eq6aW@gQHuBf@`l&T;Lg)^UU
zc|UQeGfaezSKj7pUN+lEsw7~?gC<x{u%R)EHe%l9=&eh;(>V@_fo;;Sez6n|l)QTF
zzugR`(AxG@F725R^n~yyuh6*=7i*z@gFk@t5ADlG4)6o9cH<b23=g7Lm|kG($KYAp
zod&jZT)^(4B4#tpgHkTDca8L$z@YW)6k|Or81Ib6*O7Qpaq*b1(r;rB`!DTjaSkI?
zUOU?7tjdc>-DPPGEXL5}tr9b_wu&k9=v*0{=RvkCyDe+gjX<B;lr@(>hn@5<|8O#!
z2Q{CK4nE^-2s;$NB|Nbo!!F)AeqIIRL2`UM!@TYp!0mjtfxI6dFh(gG>#L*Oh_-Am
zKKorCPM#RNFT(nczFe|@=;Cc|bn9`bx-v~4G`ihstKr}15kHuEJYBfa^{G?ZuCaRH
zU-gIexyJ-O!?vXInH4uG6^?kw{!15P!?#cq{~TSe+VS+igWPB|r%f?$pDv`btt=aJ
zEYT<BD&KTOa3ki=c5^M&I&f#SaM$Z+D|Dgdp1Y0R+~^Qh>Zy*p4hVo1UWoS}J%TeJ
zv+Fny3ee$%{~l>Wd#%yQY5gsF%G!_3FlJuVyYJC5yMi{T`JV7~mu5t*cW$L{4e=uO
zOx$m+$66r9Ln{_e!6AR;f5M%9d}vrK@VgpS3#6nqj-U-D<bNTRNaf*2+y^Tj{Y9EE
zeJlA|`56{8HFJTns*WFBdg}lD#W78&`Ta8NTL&w0Law{mk_3=FN;(xjPlF?eL)+TT
z*%9MjlN+D>1-JENzLk+i1JAb1(NAax`ggMFT&KSfYI)i2YHmz}o1IFRMyxrJS$lor
zNRlve+y5l1Z;A?8r|RQ6Cb`h%<-;9)??q6Ab_u2VAr)Q>wMQG|@*tMO;o^CCF*LmF
zDSY!J6)L{jDDKqbLx<Kb$%)0|k%AKLK%>ew-;Bf^jUw}-*}kStZV3sLxrauSU88`o
zq+IZbmH=|A7@OB>kwnF(8T{QpQ{ZO%+DebLAZoR7{JbMm8Wnn*lwPl<Kmv({8wCj=
zQ)V&xpt&s4xH!KVS407n6L_|>LKyi8yEU`yl|uzqWBczFQXuqH;Q=X5Q8Zir>T;T^
zJkoztFv3<&0khs~k->pt$j&zTZC#84`ZJiKW6(hXqXO2!z-2rtUzxjVU9E^7vTQKd
zZu8&+Vk7KNl0e-ib&XDc2}mT+-It0{VZ=iyxWz~c5jv*=Jx!F+t>J5TEYqkUKCZuq
z$S8x-cr2^A<B4ciz$&hIJHK5!b82bBOBNZP-Y{9{RY7@Kq?_weG$3#E@4J3d4vF%=
z_kSs`h6Eqxul@gjqu>7G-}}z;$V_BJ_O+`zdU4pJvA$aqvh*t!lus(4JsqET?2<^x
zGu~Bcvrr4(>}tpia92b(KlFQ4=a3P@1^JIQx3wW<PwWWQi-6`H5s4BB8c6W{jdQd2
zb)f#NWw3{r60$|fDoKhIG*;<AnyA%<Z^@eRS57ITZ2$S+qGu?G`3~Wb!h#+caX4t&
zSrd`WQ{V3U*C;5hee95$z5%@1i=TCtQ$cAH$LF7hQ_zI7ts6Pc5T<t4hqex=ph6$+
z$ew)^wE0&1A>TJ6VA2T)8w^%O??=B5Vc#{-!2z6Dp@s=O)ov9h&Z?r=r=tgp+R5l^
zro|~~e+=+aq|HCZYN(Xm>i&bXBov+zVQ6p=;JUTL8^053=nJE99%q#rl6X$GOX>l*
z$o%|()d4j`37c%Fd#8fr>G_qddrjd&{3oU;UNxk_ZGE#NM;X~O_#9&?GKC=_H;4Wl
zRTML&(R0C`fO2;})!I923e0t-`o%a^Wc~V8$SYO_G<6v7`ccXZUOT@!(qO29q;AX}
zJ6s`)&bHwedue9SXTru02Z`v}eCfOJc}e7{cY)(2#SB7hn$pB9l~LVF%ZJr!F=R1C
zRzHI`1L7&xtYHNuRJNx_sJBN59p!TsOPw)=kkE2wr&&c*leV^DZqJW8cj}*%sxXDp
zgwF}I5(N~mzh^==g$soju6M7UHwAmX`BypT<x%dy3ga(pHk3;Z=flaG!l(5z*Ii^e
zBvEXWFENZmgpGS8O-%sD8Cn~Z#$`|@&7oK-a+7YkD|BD77l6BJ#V9RW3cXvTzj$4>
zLQh`Jl+fqi_K`fdlNQDj=wpk^P^0-GU3lhnTc$0xEwnF}od_Pq?DsQ$xiU+SE|5I5
zl5PT553?t22#6w~)9p{RPW+*lr`X0gd^U!vf7f$^w1tsJac-W`mEZKJDOGnNVPi0g
z_vBm(7exC+<}S_)PS6hvpS{FuX9R~&6ePc%;YZS8d*8eE{Gx|&EvijEFa(Z*Z*s@4
z^C6oT{HI=}P0$Gz!TOwk44~+#2S;oy4;s9^U~)`ql5WsbUr}gm0H4%)pOE))q1mjZ
z4c9$?=pxrghKEx0fzrmtrgMw~MXpB+TK}7&yA5GmWm9^fWF3(-_<$W<cQ#MrNSvd;
zIvV+buvZTrAKrCJUxf{s|JP}=XV(JV>_JtJ;xk=Hxy@Z>JIR8Q!i+n<5tr!7`NM8`
z!nz>wyhQWVC^Is8xYO#N%3pd&&{6KBD>`r`X1)G7H!~`yGsji#TBXN!Ro?EM)82ls
zL7OjUm=LKpFTCmMIz5w3m>hUU8+6Rac`GMzNOu-LVcEYy4|r^1X8%nKJk(l36Eblq
zG&hT6NMt}0ohu4aj#@BX;rn9T8;6Q}+(ujd7}0#3TkPcEc7D8Cu~~8kho1lK3HkXE
zhuWrmIqsg)1oh>+!-i2fB(zl*A8f*mny+~j-2OuY!c+CDL^=*JN*6prZ&}dlO6iH&
z5E|GT&$)$2GNF;A2b4XoY}@<Za<+zt1|Oyx58ljVLi$$;4&U)RP}{4UrTBtvA9;Up
z4zI(EhD+3=QfE0(OvdyRbu%iwPxK|o%rm1g_mc$=esLk2?A>(2C<P1(j7TeOEC^@R
zwd)ECFPhd1w}e;<45TfW?`>g4=l{&a`{eVXfkLCocUly9d_ea#=Px!i$m`)`KE#je
z+n7CsTQwm0!wGpm;tn)mJQZx9A&4^9>uZ(`G+-fBdh}lc2dXkZl<as{2>sOb-cYV2
zL-6&s5KmDqbkLQ?TP-JoO6Tq}cbbynjLIpy=gr*6-MmxCsZkWsAID@L-saq$WuMSW
zJ}**B4G^_T#G}zB{3r7pBv>>r{A}IBhwgJqoI4gMfp$gg$hc}nf(YFkzZn<!QP5AV
z>)KbO(5{!hn}(7kz*$B=c2E{XFB~NYjZ0*ZOx`lfBs&R$&-D{B0)<dg_xj=!W;v95
zh&biRM}nYZ_y;3H!YH7GjnBzk9*s~LX6Lm@@Vn4$+R9B7DS_~lsWb&N;P%NyF^mL%
zPI|w|WyPc5e4B>w6-6YFw9{#8f&|AssI5T_;>d|p-RtVM4+z&p%MM49K}hAa-`GP*
z<S}EYd3{<L+5LH`=546~JNG+^`D9BYZ9h###t;<*&ciIVG8D*`$a?N=FN=B{56MY$
ztD%=Rp)B526qq<R^e)m*4n5s{yDKqU9jzbG2}?dtg<;lI)5dgp6y5(^@3=A<`4O^?
z$y(9C`~W`VSDgY1U=H=Gy{~~rCuHN(K@*m^nF;j^iYT=Q$08d-K`HUYA2YZ6+zmS~
zbVykVW$Evk8R4fQ|7<Vw+Pm8DUOMshqvOgbY*=*XYCIJQUqX-NR&~Jd%v|J9I1!DN
zWG??1p`wifVR^LxJvilAcgNzk3Sy&3x18sqp|)<{hi0q>5Ec`6)$6t@64H(fnPR4)
z?u)if)sGE<?Uc){$RIT|^pe5AxPgkuFj+Ia-x$P2E$=;`sv`nHslj$16{*Fr`a8^;
z0K?Ozk9M`{h-3QoyO~T1Vplp>JGi|*M_;Dtstb`&S3g0v$VmeQ*-X4pTLI9Pchcaa
zk`RNZyAw%~gz&aa(~4Q9Fedi0_%|O3h5iVx_RdsAORm0RuNBPT^u^SyZzbx;>Q(Y*
z&d<sy-lf$=E6EHDB%`GQ#nh2>VNlh{KZ=M=!GSfX*9^*05%J1SHN^EGywPq;4msj3
zK32e)gI?Xws!>c8z3EZujJA+Qfo|mG5H52VB<#K=%BzA54wvx~y2X$-`AdY<ni&*6
zPTce4wK574k*GNHSrD-X4!_O$Xa-%4TvrSBD<Pao6W>@d57O?g8dct|r(GfLzHo;k
z64aLL>;1@z8ZSP5hBGz;mCd?KQF|4T&-~?fX*>h^^0|%k&^J?%(LQ1O_`Mujb6K0(
z&9+1@<BosZ8oaH8^D0iuQWlY%n{)i<f716<^l27wnZjS1RNTpYDKwhk>7`@WMW+QU
z-3z)8F!sgi*vgPN3ieBKa60i2W3khz-bDi7T|JRofQcbuo9X;<`%Vm>`Ef`;1cSYQ
zKa3B55JnBxs_gol2C+J3Mk-H^3E+b79X}i+h;|PwFrHBPj<qmEu7))l!>jX4hX}s>
zD01<rmjc5W=Bzy0e{RVL9uq#Kr3>()Q@0Z@^~Q~1TCT@84yhPHM)^(gkX%j_Rd>Ox
zLTC)*tQxU*Ib{g{9Z_uzi)BXy<+8Pnf$!L;i1ydChX!ztiQXpCz=FgkN$p=nM=-WN
zmZY``eJE-RbLTzGglKPB)z^jwu_%!jV%^&M&}JDL(W1<V!ewn&syV)5Ru3cBe6Q=l
zTSx1rt*A{p`>XlT_VF%k{AK(Xry*UaJ>RVLg|<$Q3wb|Nsnv%44*&rF{}h*ZJeBVo
z$FoQFu}8+iu@2`P&apk085$}XS(SwHtwf5*EHXk;LaCIplS)c@9ul&W$fnF=&y0|t
z-~aa?*L}UN*XR9tR~gQ@xaw&GlDQz;WxIwB-?(gB5LJ!5W8}%w%%s5&ig^FN-aqJ&
zP0+r`n3u@si_C<)T{PJ5ETJWeE}_13&dw_zQ_=5asq^t?so=bCW%Adb1(fMg%4vzR
z_vrYa2cHYOwBV#>G7)!W9_7=)^HWA@(YA4Ih7oHmc>d?C|IdI~bT-X&c+9C4HG54E
z=c>|#mz}H!=$EF^XAJ`yYHA(m9lNM(CVfqCa6vw@4o;$9D^97|O?RX2y>Fch%PG)S
zoIrHXn?QrxUaW*Z9Y7ygjx|r}Qoyg>zVu-O9X)aL%Y0nXZ?x!z;$qGxGW_e$?tHID
zM+M2Xk7{{FQ0}Oj*;)%S^!7bS|F<}f?$xZd7Y-gnMZe{Z>a>vnDa;8Pof$_@O((s*
zvPMT+ZgIEMPmrLQvn+&}Ku1?=9-r2|HH9L(8Cl{-HNf6%`sv>cI!aH!pS6a}qTebw
zIl_1~;Mlj5d)@X<ps2~ppYQSWD9g!1i7ALW1T<XCC{me3V_Hqss<;<XuX7aF;s7F8
zHZsH*n@yolGqnki@|I9H+cVMVD>Z0&)3a`pI*k^e?`aM?^#_fb(-?TSqzaS6kp<Zj
zvuGJEK<F{Diq3xA&P>!-g`D@Mp18g_^mof}Y=Ox-N@o9oH;z?-hCiGqnWpE_yBp?x
zaThnxSmChkAAQR3Ao-rWJ;x#{{w2r$*7q$mc_EJPC`}oTMP3M6-@AmSsx-%HYwg0A
z&irNWx~l|j9z*9X@|RI1+Y^(NEC$SpXH+6`g8)a8W$*o^tf1a5dGaDEOju8fk5!}>
z0p9T5nA0C!MRS}NsuOydv9ed6nnZgP;m{j(^kL09I<?fOa;uCLTYedIFx^%WT$gK<
z6+1T2#rc(GZ<HN#_D_CtzFh$r(>Ko_mH3C+kk4i{|K-Fu7X8enT@@e_k*dKR+=bN@
z2}?Ab<Hq>Pi<*wi%EQbTvGXa#4A`FD%{Dp@A6E8p-KOiNJUCmXAJCvMVM_rntFAZs
zv3$!Zv0|b;w0#x6Z_vk#-R+I7IH8Ecq~At;;2glirI$Qm4kfJE{j|>(y3>M~Yh`Y!
zS0*0fiD;2`DLYnP@Xp(|Ul`+hEIV?`3lG%|S+BCkII(hXV{`JBDE8Ddn*P)b4-C3v
zZr2WTV<T-(R2*z1FmvlH7b7YjN;x~$3Riite;4RZ>YY+pOyfm%KLb1n#{RA0xWJG3
z>z-tq-6w;|ejp}|yW&BDS(e(tjKc;;-zPIS$YPp(Zx-hs;^F62%kmOb5c{I6c)QUP
zkHs?G%)QSb53k$pj;}ot#@Jqq=4Z(%V6qK1<jO>OVCZG4X(|%MP^3nbWlIqgGZ^N;
z?N@-*2R4255pnD!q1(fKSqY0>GjUKgR)n^?L4F@gDXe7d=+IpjRZRPkao?%S1aQQV
z<fJZXtYqQvl~`3GmQ>?W_-R=Q9{;A}iPo}M?LTR**KQh^TM}*h?iUrfzWzw<{zo~?
zsWj=BWdjMjO+RHVy{HEFX<Hs-V|nbH7apHBNX7^okFrZ6H6ZqZ`-DTg0=81$w0L@q
zg4sO3MjtUELuOiV*pM#)D;qJh9{!<;6@2Ho>byjOYfR^?CU}*x?~fhBFK23DS#6=a
zc?Ptg|1Q$<G*<;HR7)UeYf!OQes?V7HfT`7r^SDkq=tP;HQuTTr(!e(HKrC5UD(iy
ztD$EQF)K5E!JCm(>_046xg}R0<jz=R-0M-tq8Du1td*%)-$ySC8%ZP3+H}A!{?@=$
z221bkI<JLs6pRWOnE}K~SM%&TOu`6ck&`|)J9B>c?;riFF<k9-Q8c<q!pfzuuN(d#
zV-eAB1Vk^Jz#PjH3+5COwl(&+&Y6{jIi9$_@0F7&*ood8?(rdEle>_NtyNWQ`b!jd
z53d;%+!~I&Cq%-Evyw#~rV+5L-s{TSNoG)bA2-=4r-8i@^ftJ<2ag3-YX3UXZ3Ypp
zq?&7WM2z)DSJt<yQkWx>>%%&02IGmeDlY{!%oWeT9%CScRb^BL%l|Ngz5tF)>OK{W
z_LsQpL*#C3e;Y8!C!2w73uW}4r4q*RfI8LiWfQ%79jlHengN&W__!ER5leM3Xylyg
zM)#TG+J;`60%KrJlqQ=z_DejcSm)C?Vy^8hDWPf#whuXf-yW95?rjP%1VsHsg0g<l
zhto|UlB@Ui<#cI`<TceronVBNzxOi|SxkUG?~CBzT?wq?eot$*G#l`$M%>`?GlnxO
z6!n055iG2GtKD0c6Bdj2?-m*Ym|zIBwAB^FzGgXzEGu!r?azNCTpa-RFPL@7&G2DH
z@vZLlKHM-sYrT?_gMiT90Ht${yRk{NBt<4M9!L{+JCd7c1j71>g(l{#Sjb0)n?sH~
z@RxeO=HmxL$n{WI4>M)J;%{4&E$`=nNY0d~Q(Xpd$SK<GOXxc4{j%@V3qBq=wR`YT
z4}$^dBT}Z5Cl*jyRw+xi58QBY*CBZmnm%;>$%(1a8bROr-#HTF#0?so1y{;1>45;9
zp2$?*gla`I`PXlAL6VWjnCC}bC_Xp5fuF5H{^2=P_r2i)hUVGfcrIN?Yk#WC^t&Hn
zeRgb-JDdyF+-X>-hYoCx?PYd!q$3A!?BNkQ!v$leb$KP9wP6p=p6>MDJo5I@Df51R
zE=YXze!M_g8@}bH5mT*~kuNttT&Q@;1q#~9iURj&;Nbo3K~U!^^0AIxLv@1-j;VY-
zo54;4d`~YfLT&?@Xp6z~hH%5CWGyRi1QkRKmt@v;{~=vj;T0nU9&lSTZ`!x51xhg%
zyW;Qe0`nJd!e+L4z}M%<eS;`1==x4nV`N|iquh%XFBthCrAo}Qk4p=pT;6}(_F#g|
z__KfSJ>Y}QKe7^94>aLKQK9JDT4vyVPF!+5$PZE9Z$~(jHDUIorQ?zcD{!FFv}d9M
zFka$&B(RABtp>B(+V|L?O3sdm-xPoY$CEtJa};>j<z!XP#Q|~u@rArt$3cwWh3f%A
z6!6*OUf`3$3H0P~9zFpfXl=5rn*U4&&CR+QK~*l87prKswh)HS53e~hg2-UE7Z+*O
z!wvUl3VRQxiGTn*tH>OU3?3)58ZJNO1?tJZK^&_XNbG$abA6KpaiaGF7i;*y_7UDC
z`i?kc5i0cA8%dz!{>|69o*#B9n^GW1!X++3h3Qigy#LL2*}q=^j1A7dP2k=GmoDnv
z-xE!O&vmKjBNjo(2svygvmp%@nu-~ZFOgtF2g@Uv2!V7tbu5)x7TV4`oL{;?f`Ew$
zCACyxc#9A#<0RzZ9Jw>*R1gUgaX@{rDFVi)$E%u*@o@a9PucMl65!x<gF=WH=$;yO
zG`=hkeJQJbmp_u=zk(5IJWc{$h~`TfzEc2_b2+>1ItilbCM{7_lCUY``N^G;0J?f}
z%&)A;&~@s5+pFk3z@9@J4?n5|c54ovwxwj?l%ef^Pm+N?Jr9C!o-*Lw-PY&G6nNYu
z?=(b^h3|z6^-CKn!1wNXyl^80CIwE{yAtGpYf8QIiMbjGxq>BMm?pT_Pu?aH@u2i}
zalSK@2&$Pj9`6on0r|zL6BRUhxU$df>*p+W2!8nF(_TF)*yqh<Hi812@?+tN$<zRB
zu+3A&m<FCH)t@i#RfNiE83IBjK}AwpC3;dD_+sCSt6300`LDRIV>k&;b8HV2({;em
zEBQO7z4IStjIAt>1R1?Al=X*oq0mC`TB5Kr*s$-Kj4UL9igwE#Lp^<PdQ8sA-sxX*
zx5`ucualtmf>5<mngN7;V!gT@r2>fyRBvk%3G}Znl~gSlLc3n<!6{Z%c)d{^N_EkI
z_8INB8-PH^nZG$!Csg6W&*nWBwu$i4V!5Nz5a4H*`rMy*RT!Btc@%b74c@u@aFl2Q
z@Ksrs6OK`ZK~~SG0oR><9zJ1mYp*e6(u&xf52?b%ZpzKOno2N<%qF)N8pF3)rTq$Y
z6;SuEk<=Vf00GVaBFfi|!NW8DOY9*P7)UC98yJa)=Bg?cC87yPHDL9cx0K-%t)X;D
zMi$cC&+IqcYXZt|`*F%omEh;wh~`sIq#)exa=5IO3G_tQuU@`SfSShL*#RI15!(w3
zy;>$f$#-gO^H+qzz!1-7su0`^+L++uHi0j%E}H5XC_s^DoSfEeen`C#?^)Sy4C#M*
z`IFZ0pm2y^`}{jDh`H@mu$s8T*<j*Fx0iAtb&Qx;L1F{;AwIzhBV!n|7J8oQDGSXw
z0ptJT7=hLComKT1fX<*{fGb`GKIT?A3j1v#wKmQ~-&g>FsOjUf?NXrjy`R?Yu!?YL
zm{xvK0_f$boOTG2fVi-|6RBB?NYD=#q$UA@!x9yfZ_LD?{AX4-ug)won6Bl7t1|-S
z34Li!vItz}^%CpfH-SW>smkt*MqpVX%G_!y1TCjJhDQiv$OECUSV1s^=LN$L?L%?!
zt0Wv9j2J=e%jz2BA`HOm#c<*3FMgm#6<{YtMvxx1{|d;p`XFi=MBVGd2Y1e{UkEK8
zL59>7m0$4cgLd^qL%0qP<a^vs><}75@cF&f6|Q=)=lw2^-jUsqQ=vuGlcyuq#bn)^
zCAyF)@!mnCYbOthH?$?nCy{;AXBGL_b>X;{&dPosc96UOk^Z%823g7q9=F=z3q!=S
zaE~Zf@G~o8@3}FLXtgIh%74*@mtjjuhMFu8J-3?u&2|w9(bfAEr=krZ4h*U-V$4vT
zDSu)WSw^&N+^F8EG%(+q&(+gpf`k?RyPFm(2=kVxUM?dI=AVmP9S`2=0shlTI$mo?
zsAaLHZU7a8=30N>m}da#f}B^rkN+b0$>=n$X)XBtSu9mDkpa%0wL-F%Hjx#^YiS~0
zTA;vnmxucZ1314;@j~6V5#M`N3ASUJK-D+!7S?0f$zO9f$F*IMx2fUy>5L|*i|^64
zH)DWX^#Rf`hZw=9KCj+sfdXT^%KVlW7$Bc6a-I9*4wqtH<H*-2VBwi6So59%{Lg>h
z?_kIRE#BE@Y`7^PaZRUXQ;rcj3UtrnI$0rS|5#ze6EZjjtfC?Lj4)r9)~cScv)9Y~
zwx}K%Mmd<?;SVvvIvam>>v2wyyEGqgq>BW<byoP~1)0I^XD89YZinO9QWCGPk|51`
z?%(zbGdyi()3NjAfsCT2atS#Su;Nl`qt{tLvQa;1uM;06q%?26c&Gs$KO+~uOR_=s
zO5E1p6n<FEOYA(&r~!KCJNKEmvqOjY*QUcG0-zrn?q%Yy4$WsThlezBz_BH~viBiD
z=$yX7q_aQ-&ZsP&(@wj=<%VhRscs>d`ZKBGdyNQ(jrj~E__?8)4^8%o5CON=XW`aj
zMDV)uHFa@;2lN`Rj%8Sjf%MOiK#y8Ac*Y<@cpJtCS<;7yi!=$~H&M!Z60HW)?|C=*
zviQN;>rxX~O2OXOYlxPM8lZoE>7DKnfcnVm>+IpuAeMPg?zxp35c5vqIS7K_N~$d=
znv;Rs$%NuxJNZ{uV=!Z$Dg=J5xZtCja-djG_@o)A23o1PCKh`{fLv)R@+A%r5hL8c
zj$vxRS|Vt{P%8>fSWc|LA9-l{VCWF2P6Te15IdO!anR45a6m39Lf)#`OVK(a%vU{V
z81R*Z_h*0Po!KOSea>?hu_SenVbPTv_TK{`ae?Eyca-60O7!idcnz?=D)WNfS_TxA
zzcP1`R6#jM`E|<)65O)yvMlhDg=D&KK!1xGoUj=X5tblBt3|rF&TTm`3MdnjKdlbu
z@x38mSI8jgK<{&?!9&Z92VyxB8gQY@rX=YP1)ibj1AlGF1LiCKPdAqYTJ-7+V^J+|
z{h(#^QCAVVEaRsZ%*pUVBQyD~8x`^{U90T&BS7h|8YBN&GVHf*d|p#agKvN36aJsu
zinl}l>z1Ve%e;5C<^dg$);l@$^0P9qY*80n4pHFYi+8@nX<gtt;-2ubNd*k|7vh$z
zclf<hpM+)V0~6Z->*8Bgxb>>*Av+fZ26Zbsz8^LOa>SA&@roMwX{28_O(sK;?D0;2
zMg+*u1A?R2i6B2<{7k)*1aphuTFeds1f?Dg=08OQ-@`NNE_E8P5j^w5p4S+vu_0Pm
z1Q9+c>>Ae#B*Gkn*Q8vzF?=p)B3?T|1Siw6d5(4!NIB>$YGZB!;ZK?yrMA_8%n`5L
zv`By^bMfTaQWK~SY)#p4Q-hal+82E0<l&}r$f+OyOn|XcSy17+D(HV2(Qz7;h1D7j
zrF<pR9nQP*e!rvw1*_E}H~XYuZ8LqLk8BFB7t-cNb(En+nb^G_L_sL<WPpW~DYT1@
zad~zVKr)YHC?$#mzn0Xf+F27Qw!rUeKduPRrL6Xvt#CouK_zliz6o5yc`avm$ivaW
zUlMs!%peeyDMhz4fdlVlL_V0}p~PO#Yg26#IT<=t?!Rmdo{XH`lBKe+uhrY$wRav7
zBRtEqjWdQv;Rb0h2{JI?b4#?DK7jBaT=wY@HwNu|`DZ#urNBGfB$nx9HuBLYM*3MU
zz&Vf56OV(%VdIL!5v~(IP|{pZU<(z%XG1Vbq)7w<`Q$g>-1?3ByFB818H2#1-DVfJ
zt%TrJpWq|axiOS5FZnb5g%P~HVq)@pRRFra9<6HIJBg~@{FCyr$q;V2KMMTtlMhUf
zGTS+BPoajyl=ZPy0|?QviN4*$4RhD6F1q<nqk2W}--Rg~Ko=?0>WMWc*l_h`9i~sA
z=X7pUo}JW(m4ia?9?u4!*Xs;-<xZldPHOJPkM%(OUH6mmBg{Zal|S@sgpR88xL#2l
z-MLROvG}Am28ca*?v>)#F|<ob)k1)z3;&dZR=jk#kzY+0KV7;qf@+yHMSKj`f$GPP
zwY=;%kWAeYt8W}bXyTt;wY@*JVNO9#X?AWEX*g5*fK6!-os8?ZP^M_Zr|%|%guly(
zw_9*2uT>8kXIj(go<ak6nnp<DnMEYyj&tT%Tn9S!biQrhDiy|#G!`3a%_Gn5Y#u57
z+lr<qSXmaGphBE;My36uX{4m7d}0@TMW+}8EA3jeATs63f5M&<NP6QSeQg6n+kd8&
zih>r<wuD~W7mgtx%>M1EK3s}A9(%#v@>Uc2bYEUQdTInwv)d%j2_&FZs}_-mH8jDi
zs_V?qwIRfu{!6f(KL?p94q%Kdq=4tWDgpcXU&whww{}bVJ0yR8!pN9Nf!|DGSwklV
zk<N(h%TvzP$im7SUH?}*zH>8ZGUaSPLK=}$Qj4!g^cQ`nwsgpVvACRZp6x}dl&3sZ
zQ(6%EP|te(=N-RDZBdmN>_PU>MXvpVHsob6PiW;~5@e3DmSf}|#FVhWo<i+F(g|Nn
z;=gFX`>p+168+ssru@*Iag8p7m5WOzb4DG)bY5q^>h4DLi+cX6(CI~9;<f@KCDdVG
zqCriXY!4FVQy|EGYyf$y*)}I>LxdyNhc;|VdXN=`)^BS~zmOE=eXsW3RD-%im)`uy
zUZkI8P5f-+5VCAnIsCg;71}QG3KZY#Lq4%oo+&syg5-p+ziHxBh1sm9_^_#d<OpkQ
zD~60A!_=uuQ?@El<XRGZBw`Rr{&?v9)L}YufhV96pREjjL(lDA7XCtzZ<f68Z%rcK
zElYD<|0sdq>9wwj55JKd<(t)f>(hwZK|hh}2b3W4X|l-F^bm516@6flF^7z_g>c@;
zCxBnIs0L~_f{f}WP=yT^kfr5K{v%ujFcj)IF;g>&c&=8~2sAGuvmcIk{_;}<rGKba
zu<tlxo_1_r>iRNr@)CQU>VN_;j-PN}u%1BXTc1!fPp=@+4bi_S2Nj@$aNw%D;}miu
z@JF8G<u!!v8ufOwS|0pHtq=G=oI%9op7do_{6*|r&Ob>rkO%g}J29oa^GK~hV3LOZ
z79umNX(3U8hYE+#bUwcYr0c$=p5Mkc;-k~%l5d2Ee^kX#{Q4r&kpBExX#@jEYE4gF
zs*{6NmKfKExy#61C+5p;L?+-c<Ny1?P7V@p4%lQ~UqR|_iixc;v%m)9OvkqgSx9P~
zk1W2uhP2oQM9Xut!TzuZxINcpA%S=F-)Q?^glpnu!@4yGNS>s5s42+8XoKlsm+cmU
zV?n!EYIZ~U7_0x&W*Jz^7d`ICxeG|Knq#)1JTSpJ^Y>_|45;68T@y=U0P$zDZ?rK!
z(Brl`V5TDjZ8-Mp<N8d{U19s_mA3#)9C;yla$Oo!ZKJ(g1X-Xs?1{gVfgtR1eVApO
zAq{#3!2{GiY!KYFXrY1#!-1bQ$f&(E;6vv#23<HHbLD%AX@Dqb)67#lG^OF3|39D6
zj@{rMDlRZMBo0(Lwej0DX?Xl*#HTco2eJc{kEka|K?%p&n~KxY@Tac!-_=?^I6A<5
z^1hx77;PqLSbmiT;leb@y*>i)+q(a5MXN0ERwvauQDvaalXB{{jv$oO*8n{h4_;%c
zKOX1HfNfH%`ZKaHNcG;_J>#hW`;F@`o_(@VFt)DR;3x{u|7M;o^CG}v^`zatJ#t`u
znIXWxL>x-xV-x4&ltHBC(<h-F-(FMV<~*P$1<D$&hAGXeaQsHUkzs^9$o&2Ognv~U
z64QRH*r=$3;`525U<E~}J4MRj_m>59cti5qeiG2@rR(tuN)R+8ayW(&4^=HzzsIA=
zP|f@sOO027Z2piNAur^ixze@t>_-Zi^|%zc?DT-vEK=jPt0E}8#g*p{X~Nyd9rREq
z64)MO4ziL_g4;FJkj5P!xEQjL@!W(0$>;B6`;95X*NVyfqDCrUuB@9M&S(Mm6W6O|
z&sD*>T5`(gJPj&7)vKOvq`^{*l7W^j5z1a=^8|gSL4ca#;4wE{0P`xQ>;ZM?Jib5N
z<O2=jGjY+6a0U=zH?FBINdl(yjT?u}X^>1De(d|x2rQZ}d9J-6fv;Ul-wPKi1R4uA
zM%Drl@^E5LImu9|_oa7qTN94p4nNV^@m$ej{!Jf4GPqu^2+r50z;a${MkUD<E`+Q~
zU(_c<%d}fco)8JHKD7G4CT|8e;v{m9F_PiB5m%Rwrz%)}*h91KHv<Q`rzIsRJMWwi
zoo#ke1UH>8#v})GcyRb|Q`4XZgnfE`{O5jI7>|<ib-ry5r77Z1rx10>t>={p8WaUe
z=tmNFvN;_4;?Hy4P7MTl+3}p;c%kCmV8$M2b2v)*S9Fh}0v|HOlrrkJ5s3@A&r>(e
zcJ4LiP1VGX*Bfm1qx@}1!AwTFN|+gR2YEc|PEdd^p=Gr^yBE=C`NIj~Go~Q<XnCej
z6%S2oT$e()7_s!CI2&slQ+Ry9^!vef8F=gvmi2^<1AA$p;PboC1UjxhJN8>v3anl+
zaz^X(V4|^Kg=o7?;H>`u_pKkIVBIj@roPUHZ9RCk>(4o3pdDxNepoLEwcBPBfqDX1
z<eOLC-kktUjgPJtvGGF!=Sj~!OgOCQ(yf7dOMo>-Mnhl1ZfKl5_%Fp5hm~bBy~N!>
zpv5(X?Nv83Y?>QS{>sE*m!JE^Q)7*w`e5bhY14lQ!_iCOHR(8Pe<2}J>!Bg6PZx^y
zFDxNHiYR36U>wHM5naEE8bF=xszAumQ6xq!2Dj$`4wLN&%`ltShvb653EqloB+G=h
z79ftpwEfeUf2rw%BR}uuQ&-y2PJu=$c}f5~p>}0=?j=3wQ|Px*${0sOzn(o1`b7XM
zs&>A5w^kSSb`f+cn-@@8+;BHzu>iJt-+ue6tS-1jNL{@}TScGO4waH}1uzodGAZGP
z4xB+QU(=G>L{mCm`6iSJVC12eUlt46km}Q8z`t)7_V$7$<9Lq%w&eK2F4{vIXsM6B
zQJomEDn%K&1YsO@x3OL3&j1aCxW23nm@#7)tyhkDoyB4KkBiukouI*x4(|a9jum4a
zIKnU6iNoxl^c+a0Qz4Y+=#l&;HY~|fa$L(*5DOIQKA&`j3ODR}7o`I^u%=K67sf3?
ztfMpd@^Nk|Wan&s=#bcr6@)y=>M9e$j<T7zOXh3AQ}F{`QI%X+grc9wzc^tmS5x@y
z$^k7f2<Bk%aOc5fYOWC91c_iit6!Vd*EM%~ew||$8y~jRF_WYnC5p97YDJ3`YC@{Z
z+<(*&K8&&;M6G-whTZ&~>AS~E6PiyaF#oCN$Kvh#r2ZQh$Lf=}R?1a0!QVBHtLU8o
z_9eln!`4I+Q&gD62dz>dgzvr_Ln#hRYfZRyyj%)ntjhCZZlQqV@vpbN-wR^19l9^g
zt)#ICNhVF<mph(hrE^E^n-Jz+m-$2YstiW4eykIoNrC4o=9wPL!q`WP?2)T3ve-WR
zb7Cr~6v)y^xIV8eih1w)algn~4kJZ+Y4T-I;3_Y(kFT#7X1!82*kFps`ujZejEgDo
zKL7v#|Njh^cQ_Od7{|@Cv-h6o&Nz2xuY1od84Xb?Sw)eQUrQw=QA8wJA*HgCBoyvd
zQX*xPRAfX^QrRm%|9<~_pYQX$pYKO;@}Y$JOF2yTX|fM?(7?_=UbK(xG}vC@)V-dn
zfFDj@_)xJy6L}-vZDu3T;Rg!|R>g|wv+HKCjgJ=YrwwfVu$~S-b$c{)jg(P_p1)J>
z5D~Q!NM#YX=-`^Ga`W9D6<o1Zh`4fA8yWiNWWS0S!tdqYnk{Ck*ya(e?Q)5Pi!v4m
z29phe+(?jnD58emZh!7+Um_#_VB)@Iq7hUnu^%G;P{Xo_kDpvl>fooZvV+?@jbK-O
z1V?O>IxZM{Jh5`u#Y>EF@7q_5VMHZ3RXa}u{r8p4&j{(^Gp=_H-vdoRyR6-2<v&fd
zfAHa#e!d<)9XK0z*wqwzj5NxxFtyM@?DtR}pFTz%3si5jGlMV}HytSsBK~uI_~MY2
zKDs;eo=J5yhbrz*ua7(+Vy>BmU9pKi4xc$;eQ}coloJmVV_mhecSO>$d{Pgky#3>E
z_*lZZY_^vg9oo2W?-s4*P(7S>N{Uwtv4W(Y!RdWwBrLhGa5n0$E|$CqeK8zr4JGr$
zu<ubMbf2;vn9J8e50&?3H~bjjuKIAMtAK=)-d=GW{$vd5cq?;51;A@<Nh0$$32QXQ
zr<NzQkvUj=qu?w+k&)9b>oX+0tX!3KW-}2zKNa;zz5{>+_eXz>N%-)%U)HO1P24Zc
z_+%r+gn@f|Ew8`S#*}HN5S~_bY@8$=)U#)TA7lI8%ck1c&QX({Jg<s7U9SF2@MXd&
zyS!+=i$rvZ_Gs4AQ$aR~yJ1biOc=@SIL6zcg~i)qD_##Opyi6>>-Pan;NvAY%M5Db
z_^I_bi8-=(-T2cZnky50cd49^_^W}J*CymEXG-BIiB{fx5)<;X1usubtK;Ega}sO&
z#c}1Z-)*^hfYVd6=BNLvVeuJ?wD}QHOsd$@mQxQfP`6oR<4;v2G+dhFs9l5Gr?d~K
zo&-23aV_`4Hx+CP%vkc*6F^H*&L;=y09UpbU(0@@jIq8VrxeY3@zsyD@;h1?U@`F~
z{!qUnW?I|k`hDQW2l=_R5jqU;O18dTLQufP?Kc|jmpC!0KzTaryfsWFb-KGa$RU@(
zF&S1m2M$Th8sGn71$B&ndhYo$_-{+#o~S%_ytlDu!rs&h&R>BI-3rq9rol)hjlhmF
zGGvdmWJ`Du<oZdaN)p#znH%k?XG86#45=$WEnwu<m`K|}38agP23f7<*;svZa-9X7
z*KK6{au!F9*!Ztg3vAdUKkCaYGKXLK>KZC*#qizHY5Ii_c1%D2XWgKXIZ(3?_LumH
zVjSD!6WszFIMN|JsCw88+Ezd~FG~b>49kUab#mah&bTboepA>&a1E~+62?A;XiQ)o
zC;GL1tJ~;i3YMK+{@yRw;P6q`a|d5=VO!cJsmo7Iz-?3Lc-5c~e&zHMPyWS?#(U;&
ziJF^$_wCdQPXi&mICXDIipqnpKCg}XTWJic@XYVWJwZHXQEDik$cxU$*j3z&je!->
ziR*U=;&H3C1%GaSytpW3;qb%=ekz!;#~BNvpRCSy*J}dEJ!-RK!OjRYMgqsiEd<eh
z+}gUvP6#{mES#=%8iK-`ob|%Ng7|?gi}81jFsA00crgN3^9Kgh=T8N3B)3Ab<AezM
zQ0E&A*$m<SuV5P0MhL^!$R_(oiK0+p=J<mgIz;oisnmTJLY2a|j%(Az&{JjWB&RJM
zGA5ro%060yof{qP9@L8?m-$|W$Z;BI@AlknRwRrDpM|;y7bNh~^o7eYIW!<{Y9!tD
z6G0)_Wg#_ZDID>Cp_=GHgPw^}`Y@*`D$0E4sjQI3j0g^6MJXB_9eb{;UL%Tg)@o%P
zG+8X)u(zqDmkN&_*xNLn6~jJZzYS@x<ghS?5V-ap6}<BvN!a*`;|*%Z(TNiZ7#|h`
z+v2FO#pIoi_!bEan%H(Y(NPJ9aqv@b2o-XI-BuoXOX4^$IebJ)1vQrsq`cihg<$7k
z*ZfE+On7GZZmqN`YH1GnJ8q*wYvRr0MwQZ-GU+yOO+yViE)IPO_ossRvB1Q89J08>
zy?aR6S{;9fyr{l$k_x2JAJsB}a(K7>9NS|*4eXlv5JA69h0<$vy{3cmXx5e0UU69y
zb1e70%pRbElvl6m(Qri+bIrD`e6EG37hn2qGoZog+&98avdTDMru4bs9}$IwPMh{$
zp}|<-fsv<sRq$KHwe?p_NGQdsc#tea2a%oE^XP7>n78LDdv-7xue1hd<gNBdyp~mT
z+d>VmUz86WNYz1~;Sv35$5kHfx-BT9r;ZX$w8Zlzx)|br<rY7`5%d)(&9SR$pypQ8
z#3DVM`qtL<;;Rwlx`yhyOK9RBar9U^uaAqhk6=r;F{p{UJ00ZI!UJDApK6&>Fg7Ks
zVDgIzd=xVXF&xvvKjTuRf|aZJ3H|ZzMN>Gc9J_(Nk%&ci?|2SOQIPPTXsj5~9AX#)
zbN%t!NFg60^i5E(Y`XGK+zt!aT&h}KY)L{=QNh2zxfJxSf3v`oW(m?CTNuzzLb>S+
z2ad5*&`SFE`S4aN$k1u=d2UC>*>xJ<UW)5u*Ox83B<HN*$bbG?e^bcVUDlpn(xZ#n
zFFl5$c>%bdtrPR8CgbaqpMFMe(?N2uZCXz(fV1RB?#u^dJhI{2hLvm*t~}wdyE_9w
zZaHH9Ac~BX-`;+&?h{cW&&H0vi3w6SbKfkek+FAJk0bV`CR(0$txZg4g86{)2lFfv
zes-^5_McNneyu(Q)=MVbNNW(h^ivzb|K0cf0je0%By;rfAQNmZIXyOz*G6a2oQvK!
zl<=#>1%}5rCOq)AKekqvh~^4Bq5DhZaQeQsm)Zv=ycPN*mZ+(P+g$!7(f>)|v-aw6
z(<&x}O#dt36w*ZUgp<p*0&(>J!OO=J%Y?I&8G41^)ls-M{5nsu2%7aby;E{x!liGs
z6wCV6y%EMUSfwS1=EX&2Je*8eBg-OiUr|MqyFug)wLIu&OD<G?2=Lf?fLal(g7nWK
z0uO|_FiLy7eatQZr^V1am(!I{M7i-*vjjUfQsRCH@BmzO7~G)}rhsY0yEFO6mRYkW
z*smVk%77-{@RJVya#((A&OT>so;AIT=WBePHJo*La(VEu403U54_@9e%bFT=8{G8W
z3LaMb=HwSiAwg4e-<FbTR)WJ4#foYLhqOLzA#qBgM06M1r<y62#KHW|T_-KUudCvl
zag;djtaTrr3Y=m+kIg)N=9LB5Kd7u~R~5tDoi9{cv!__D*|BW83KkGl?D8+<n+VpO
z)pOyunPx2#Z7iM~G>1}^gT^v>!uT^zr@q~8hSjyX^zz;oGtfH6(f#b95Sp*Jw_Uk9
z%Mxnd(6o(Y29no<v71j26}yU#bP(rRZ9*1La^g)vmgjW6Xf{6{&uSOy{<Fa95jbzd
z{A&V-E?c_G1o2@`!e@uwKbKfm^o-MXJ56A3hyA*YeY_~ErtW$`Y=u?dEG$>pY7Ad)
zr@r#d<G~`fWXZt$Y<PY+B=rCogHu4^Vi<u3^WVNzWBb95hXNwFGOLZ?Ki8GF+?fPa
zR`7|OHRZ%zCrCbeMn(`)|NGzFtpvPs^J{Z&CKo!!^T*O28Ny_wKqVarxNdu6Ub83x
zBUJ;5RThR|;obD2)0Kd^ZQFm@<?^6KVRKsBb2>zA-_j`*O~9Lk-*hW`K4i-#-%oL;
z!@GW^mby;_lyCaHeui5BZ`5@^*Z59@|4J%0Np0o92S!cWD?@@<9%=C4UK9;NhxQS3
zXL-<tCa~K48Z5YDCK8}TgO22Ht+dCynD|n-wDyb$mXuz&8QnmI4x8JVi@ALGW98K4
zs|BJMnDS+M>pm)Y?i@D^E9A%D%Kw$R^ogOM_+^T<EENpJN&?-w1rXoeD88X5fjgq&
z^>f+`;P6a@eHK{=1#hi)+j3PB73fcTXD%ARHkmljE4S7lhm0fWNK50D3kO?1xf(#9
zxY8>RbrF;RJV3+0s4hSE@u3Vd@-*k?<P6|OK;>r#K2iK0>c7YqCWp7{jPC37Q@}c~
z%YK<l3|U{y`NW(Q(Bjv|#|AkR=&wFU36d7a>}a`Euv5a9vL{4E4pG3n%v1UpQv%bE
z+ZC2mR8ZmI`yHy@6xf(KYAAV55`&o)#-lE(xMAwmF23Cq__O9Pi1kZhO#FqqoRezk
zb?wyI+6xpAJ`^jV;30#XY+BA*K2gV^c$#bE8wz|C9m+2lk;RIzs?;02nwXTHME|8=
z0Ng>p>)s^G<J6yc){37NZf$SAx^a&I^t8NkclK1odY)5_l`n{xa<`}N>vIFh$ex(9
zG*-roGwyUEorI-^4gVEdQ6bT5-J$boDroHa*dsNMj2d~B(wE;*!Q<J9f}7c@SajW;
zbB0eBIj(G{dYz(y^$p+WmBngE36;jdKs`J?!?|>DEggy~>!*Ag)KQXs)46ly`p9lu
z=vYHF1nH8E0hu2)kfrc^;Lhh&zVwvzxS1J&dq1^1V^R}cqgp7lp$1r()uQL_Z44#;
z#J!z7M9eYXT9(#jfLwdb%5UbFz=O>6J<FonsCR&-#U@L|3Xf=7{){OMDwl|836ij5
z@A_ItV=C@_^Xj3PuQ~Jwbe;b^LBgT8@?;w#72_>6JcPO};2US|#n4A&jBcCr6Z~#~
zu|fSQiW{te^2p26e3dInkzuvTM+|VM&>6Pmr`8a@KH#)ShYoJ~ekO0efP(*MB}z-8
z0PIfg+Bx#NSR?Rt&*F+6Zq%*YGrIb3-(;-o?V{@9GJAyMZEjs06Y1GZUiB0gLh*iE
zF<s1wy~ZZnM8dgk4NF(+nQ)O(U$MDX2m60t(-U$hVu(@>yQGp0yxv(p<4;}XTyc=o
z?nVvFAs+Sp=xYP9@{zGs|B<ma-QO=-R}Il9!SL7x8xRzt(;%LN&hc{kE=*-)r8Y;k
zUA2KHF40YnC$!OgtnifBZaMVx6LRT^vw?eR<$~PKM3iD5Ah!2Q;@h6M?LoV3K%`8H
zM&j1O6uX$&HO->9!$j2cwZ09k{qDea=$-}!*l{UmxeMa{ttsgV-<iN&ifK-6>bQR;
zjVnx?fG+gYk7d)C&~>t>G3u8pruJk_XSK3n2V)Plz?=z!`#&BKO;N#&@VSlpqjRin
zYbRjo1Hc~L;8LkbC0tOl5!?Cq59_6#)xG24tDYFbUd=x#kM5^q&L0;UWx+|d4o*RU
zpM2ko)?SdsM^?(Tm8pJKY<IPy_F4vf8Gfm_)m|F!)!gZ6^nK6z>tWp*d)yjM^Tqzu
zCre^0ePXA0)@xS3n1e=5=_-#5Lk0GliDQRUclbQ}b5>%|r<T{lmM{>hc>Zj-D8AqA
zR{r=|1FNd=GW&mOmJsc{yG;4MFuttd^HJ`6%92xGuOt#+0Rk0?CSO|w@ljV`*%7A~
ztb<z~<+QK*j$wX?n}7*FDqm9^7}(p!daEPQ^lZiq&MTgIn>x;e1ZWO1ebvcIP%3l!
z=x7EF_ETR3esE)g&clrxw0c-j%~!Z^-4p_Q{W)1=E?nOAtb2pZ7uL@M%TGDxO`t_H
z-e~*|2kM2JoGhvvWTn{!2EE>D0veSymZLk_(Vg>d$S%1NmRfS#2BSJ-Xu8{$Zn%~W
zM-qysHfD^ner`;gk<u~-c0;KLTF?KnGS6J~q#KR1mIuz2Y`kIw_nZ>QhMSgI0&IEg
z{fB?Ek~)r3Uve2io%-30p$1DV%=`J^y7yn!tY_quPlO?8R3G;Y+qTHs{q|Qoo5vLE
zY*LIKVTulXqk3yHUM#S_w;wK(@}6P&ZeAKHSQTBTmwYt>M;2IIs%cN}9G_$9w|t$V
zPSQZ;fCH=4XMq*+{&Adq$pY(LpuR@lF&YF&@-fxUEwIvkEj<0_mss`7q0BLM8ayP8
z?rQ8^V429VY5dr|!V(v*-n}M?3j4ji`tyPpS>M{sN*x#3u&Q^_Rak`zlp^h02XvQM
zo$GlHuHVXm8x5yFPdzk%_w^$?FDWmx_G-=9eQ4!G*NC)=Ru=<!E34KpZTFAW!Fe}+
zemgfVJYHGj@s0u|S1x#2UteJ*Y<`?Q!OMf?r7?6*X$t)4j}~iAWy9f%?Hj4xyx0{O
z*fH#@4<1a>U+)jI<0((QhW)Sj@!<Bg%w3gwu(Ye|#IHjf=$&!1^3sSPt~n!e)l^Im
z=1RM+oVdh^u^q~O4=KX<u8DDn<G3yq?Q`IztorSz^l~rdcOvK%?$H)HrUUR6jx4JZ
z@I%R{qmP~#60{HRau3vjA?KDB#nl}$wCU8*m3(m|n5zm`{U*ax`xqLJ9UrzmIzM^H
zR1(7pFYMZ4$v}L`nAtBPfbubnla{}wu<!FisE|GxDCd0!ta*j-`<<wT-c}jBTQ$F3
zZ<qvcD;omR^;bPMWJt03tsG9Qb&4}CBf;)-ab7;pMDWiKk=JYgDIoR64YPzq64*%3
zj0*6J;dcq&RzFW=bXb2(Y%YcbHHDSR9Q(y_M_fc-_b(OXGlRs+bP_NtQhk1oOQ560
zg);GVYDkb;d*<XT68KzIZr++Gg~v9#gdcdUjwBvFy9>%>NO$|a`=*-=D)u@RY`4+G
z_`K7ZdD&!WWpvGbpvhs+g!tUaFIrfn5K|=Rr~}Xc@ff6-D&VvIka#dj8`sUKhbL+1
zLa!W$XOoW-o*g^Qy5vg6i~$3tgM}U(9xOiSv_%D<jNQ*lk=8{Qn}~<UlJ!A0u4b0w
zqAEtdw7cy$q=&BCDFwHs41f|-8a&XdhKF~A?ykK{!TpyAHTwKi;1+o~5g@ODYoyO>
zao$_y-~}726ipiZ^4cjTdPoy>aw?~<AEjcemiJ%veRPoa*v{tMs)bF%;!3<E8WPfj
z8~VBp;fF;~k%NXd-pC!x(5s<gj(ef+uMlHsKH?}dbBKgEu_-)UiH>!)3EJkGrqI>v
zAg*<vj2A7p?s9jdqb03Pm3zSq?2Vc^OILaKJ)4k5wWZ^KCUs)90~Wy1`mwO-tuE$H
zeq(o<q~TUoA%4NPR=`SK^E@q24=K*h?oYPUQ1fwljpri<gss~+^x9M(v%`Mc`=6v@
z<J0<Br>6kX-5YoLCF`S2YG!`eHUoSS6WnKel?jm_SC$=b>0?G|Z0(;JJ=~<q=9%fd
z%BhD0QNd7soOKFgPW6&;vygHjdC&%=dwd^T{?bFKiStvr=ZWakI^@u}(H4e11Tc=M
zhsQUxl}C$d;EUOhKch2j!PcchJ6Ty5t@d$Tf0wU<{kaFX_Se|LzTn;2;eBN6h+HBQ
ziskSzIA-pvw1vs(eMeM6NqCm@^~HFM1UhZ|TDJMJEigXLpGoT>qSvhwE$>MoZ16AP
z>2$LNgKBScWnC>y4G+2|WWt4R++#BF^ENP}>(F~6OaoK(58s+=n`P|`b3Mj+#Rf9h
zJ$ff!u7-_?G_$||hFE(C<CGj!ZD8~6GqH9vDwv+(G_ZX80i$0kI{)TfCJ?C1%twhz
z*p%7aY4>@EQMU3fAybzL(q79{y1P8~$(RXOr~PJ({5X2Irwl;<lHU0<_A;n^_|tLE
z@M*@m{z?vaLx7B-&2EQ-Br$|x)pWgmj&U?;F0l3p12itPyI({xOgE`k`8~hD$ghf=
z&yKeSIX3q=J2w&ZE8!6F)>~rS(W!iIeAfybxPyo)Btbmp93N7CYl%^`8y&}6Eupe?
zOOUY=FVZJ8{5M=)VsLzv&wf5{0klokA}+_dFyvzNa)HbeLoWD`*#&(IIPf3YFV&D8
z4MiG8y1f?}7xcxu`u3T_R#|J!`jjP>j`e}gyi*Gds%C)Aj(cYC(=Aql&3Be{ua}u*
zcyXRl7bSNzWzH1X4qu<ve*TvgBdhdB;p!Y?#;8zKa-Ati*mKEF`i!$k6+@<k;#tO@
z&DQmixhB9Lc85=%G{TZ-AzL1KH^Zo35%UdSG={#Zvpc*KzpyS_TptOMpJ4z+ye)5s
zF{Fm}ixF+QSh3dwj{G_^&DcBgC$s*k5k#E`8VNbx$a<|FH-1cTn!)kfG3=6_5%fny
zBrgeEWzGKQP_w6QiV>NttMoqG5CRMLcD9#3W^A~s*9d7-jAzEIydV)n(E3;vU{Tw`
z;P8<maimW%J{x?X$j8y4qkc3;abFk1`GZKl+p{S~l&RU?W==YU{S`?uJMfXgectWX
zEtzS?fLB@e=4cwUoz0ll=k90xZ9h7CG<}*OGhAkwL!d#>2E(_LMT3mOdY7rKwlj<p
z1<ml}OH@$p%l4Qv9A;Q~uN&u)n`H#?)qRkWp~8WmT%TO;ePg`Ndd+n~agGr*mg}s3
z+W_))?|U1mjxl7O(smlU%`;vTZja@g7(hVSJqe3zKN+F7hdiF$Utq|!gj>mFP#}<h
z<#vGV1Y_dq=Be#=ON>gc*22nWeVF<#6i58<n^F6PF_tO#k0Hy+cS)38AG{WJoY1EI
zW%z2(2DuX0!1geumBP@2%#{O<uX83D4Th@0oEq#Px^Db~{5f67)h^~Gt4%ZB-iL%(
zUk;e#_L2JeMh9MZd<xr%GmIMUCr4}=IN`m2QOYwl9e9vrQJ-^ajxp#k9P!hh8{YX}
zRO>oPhKSBImG#~WjBQ@o$5Z|iAmJi;!l#b}>C<A#fA=gg(p>5;X1wAB?#9v!4UQzB
zMfXVuWdCE#_r+;GZRdyT{?M%5HQFGoJ@V-D88)EHj)jv2g+SoOIhP)~HY_N%j2X1E
z!>%V^-Q6OEVYcU1%&RIQ@CWeENisM=*|@JfMoJVKq)KFk9f+WM-B$We8yBo8{gv39
zC<e=A9*QMjw4l0`_nvVy0SJd?A|8<?pjOy9v@b>rW^2k|gAXsPO^F+zj!QyS0V7Yt
zTnkR>&nH#y<p(2W->0TM(hxiJ!r$qiCTuz8WfXi<5Y|VD{dx087A`I>hac|Jgv5tW
zdQwG&A=O$tY1~W!c*55$(^;C3*L&!I-DeR{?tz+Z50&6oVTXM}gC>03>~dzSs~E_9
z`8C&2t^z~y7Ro|jG~u`AyJYhLaoF&HOfS$-gCACXYy0H2;LxVIaKUSmF!3d1#Ir&j
zbZKvQy*a4`oIg%DH64@&P7@L1`kk5(dXr$`&qIU_BJEt#;j-}A)hTvJjR+dQt5drg
zh+sF_Yh#fu54qQ>>dV<kaPIE@8^RUZkTV=V|8iUrsuRMvvnI)q)*@PyIY@##x{?-E
zbQO?HD9$jM(S?ml)SNwAbwJ*vle;5Y6;j;=c|NmIpxJNw%qayuh`8+>d3RV1{?qo;
zO+RM<Yc3JhV~tn+J(5$q!b1ZtHkH`@h@yhgdxPYJ_XaRh#Cy-YQxgg{9=s>Fp9VA9
zyH@tt&|u{QFPoMJ5mL)wnaQ9-M6sA<$`?9(RWE(s@j)AQ@J%ku|D;2(`OxFc5+k^^
zZ-XhvW-^>E(`7#yXb5+{_NW^an1D)Da=^%A9XRuF|B_^ZA#7V`W0Krp2D@*~sO;d@
zgX-Wc&TAQl(7??rLz}UHk%E+C+qLw;<zk@8vV|eoGPAxn(XC-6>cq$mQ3@n3e7i}A
zrGuhe=ll;kK;<u)kfbLR*i=4MaWsMk#IS20=d76^&N1&PDr5ksKe)oUJQZ5nZ~eV*
zU;`=>HT(-=2GE~%Rs6@eJ_LmfkKS6bffDkOVBSv@@afpGDa}*|MACKdZMkI&d#jwS
zwwO_%(!eF=G!Wr&lM6SOoE>x>j0pH_rw=EIk>?Dl>R_E(R;Rej4wBB~_Ia+}rLyg5
zqWxYacrWTUML%o@GR6DS&&B9~{fk~{+de5s{Mlg`?PCW=a`hZ^J4i6at$MBZuQ2qF
z=};&{J8)ko)F?Gi1e#gslLQtg#Ol4)@_B0uu8a5Y^6_c`fBKPACldcMgd4vt?)SHa
zztl}alL8vBK{0AwWOF%#jii=i^34Xu-hXp)6H$YDnccV2Rz_J8N)PiNuKM^tmzIiF
zB^8*lI<>SQI>$=O*;B>pX2Qsu4`nWq3ed9olgb`THr%VjEhg;3gg)UcjqSf=z{|Hb
zX}1d}#+1uZoErfOPVw@;yDACE&+ao{g>vJ=c;7}#27ub+N5}HxVu03m`y}5IaAkDx
z#Ly`QT&sN|mt-mozmkT-zGU&>Bk#y_qp{YI^7+cx%|$-gGFjEFHOqrbdUHJe*;epR
z-+Et*88<vPQjlk`^P<jzhST+0OV~2AnZItF4P-@P>(#n=aQSSrZ1IQ%_?ACy8&z3g
zDDU^#xp<BTf3O{$-X~`P=8t)TuF)qM&9YV1sKJAN#YyZGPjeVuCocAkbBv)JL0bHX
z1SI)IJ2_>W!8*PG@%1CU3}L^9{91nkN{23{$&H$V`(}_ywrylc`})d+N)m9OX=9m?
zl_|_oLKh5->RJB-0096043~#L)qfPm?Y;Nj``*jF_WmB1kPx9lW|HcskjN^^DygiD
zib5(4WJJUF(-0*iQWO#j*?aTz51iL|o!9d`@AHV&AG^-d%ZOyF`*Vu2^&mNJX*2r7
zcU(4}xG4RK5t(1OHGFbK7rw3j^d0RT!~+`HnkDKOQF-Nw0e&xCc*R`R^~7xqSN@ie
zmej?FwyLuYt(tY<U7%BS;+|>zgoU=76+aUi+0PXI*;ofIk38HS_nX7#)_d){PBWnc
zKY~I+E487uHsK82@&ax-B=FvUg$Z5gPZpNY&<06{mq#s+F5^RHCvCY4nbD!Q$*zye
zv|zi$cuWMX;%xj~yuHCJC`)TkjDU_7v;<V-^09B=)GoJ_u>e+-;WJ+8glmF8+^K`&
zj$62phj(~rG8>9?{mgXAUK6Z8HSRLAqd_6Y4qbo0up^q3ml<J$6i~|Cdn+ZJ7SV8j
zKKa{{6LAPH3MWKSfW<)Ok@O=v<i5Y$g*wKC4$|j*M4}XUywX3JI8KkonTD-1J$R67
zEIIbjYclMsQ_3J1Ga{O#%EU-7US#=1R6W<941Ah`r9O9<(2*ob$KohHG#>8!q*0Iz
znGMonr^H#1+d<K&^OgK)t~j?L>xKqIE3Bxem$RZaXO1uFEP}``jdVtvTLUcUn!}k6
zv!j8syQjjVg^*O8%0}`Hb=W<U^^jSY6G<%Zb8q7jK}S_X=>L+`p<6dWx`W7#!joQ=
z>o<y`J;K<oAKyq2_=MZU;T{hfkZ!+id{-RZr${pEXOJNNh54_2A9>M<f-p6MJCexJ
z?oqeI5fWS&JCRGvz>m7#xRhBmNF%eT0{vBc68v)WOzhn+fac#F>WycSMcl%_u4Oxs
zfN*E`DeHHF=<TU^+7>f8wAZ1xOg4-JqkD!dVr_(x18?O$@vHJ^ush_D{0kE3KIfra
zm=r-lx-{X*6AI|!(<fn<<<+6uTQ+m~u^1ALtQe1US3+?&^NeoQs6%;To`diu3B=mc
zR~*x=j6BT58%M%5pj&@)F)mIDh5lRK#p$hz`UPLj^XrnKXy8Xrij53f?T=jXn^Z##
z(cxL_pUKdXIbc2PEsF;BW(C_u5>e-`97T~>3Q(ppl*kw4kkMGC@8lK<N!T3UA~<UT
zCkLax%42y%VJ~@58?1qZUw-0!zFP}EZhsG`|EYlb&XqA#9wwtr-zSlWeYD}X<dQiH
zrxL0W$tXx&B_p4F)`LxXI&gJr>@LMf8HE><x(=VFpwlmxltdPEq4xeQ_h@ewl&(8Z
zH}H{yJY&bbI*;jt@3y|?zA#l(Xdg7vwn#x@rDdN}mJC40RlF+jj2il-b9JhEhJw~4
zB*q%kjlg%`%Y%~p2?*X<-wLj#pb5R*c0xKPurB8+f0u`dGXHZhn*<8du|G@j>@bCd
zcP*3ow}~j}678es>0}gb<)LYy0nlD%bfb8Qh&FBV?0VcZ5Gnm(NYGz^h9}3Ll?sv2
z-r8X(B9Tz>ity4xvKdIE9zBz^Mnu>Wn<Jr24ZR(mR>OIza3r|zfZ1IlQsPK6Kenih
zM7}$fbHz|$yy;<}HU|;iWgERJBdUlRgwdIrCMrxtA9_oV5zu94<~{GU<WK<H=o5nl
zD$p+u=^n(?PzSbEQ2jy*C9n-7)zFy39ob(RVFIdXcJ#xa%PyiQe&S@@y%{P*y*a^J
z_dyxO&Dna<xeB0JS>Jn6ja1;<b2XFEO9}Cm5QqG0xe-tL&Ot6w;YJ+go%vq{)G+FJ
z7Vl<8O(L;VBtt5^+`~CN?kA5Xk1o#+iqoQnLGgO$elv(xGgU4dltpZu>H5@_CH$a)
z+h{<98MOM9EgJjFphvMI8#P7a_;;UuzjL|Fpq~9Rr_Db}6nwj)?VHmNoEHAbCENiR
zJ<+~!M_C-9k)tbJx61J<&T7!70K9ghuNO-ZK^viiYzj_I7`fK$UQ|2=9e2+EXD2Fz
z7}7FV4<vra3bUEwy&sx_uX6bh<}QBp_EC_x;m3Z=)>_f%c83Wx(|H`s#(B|$&oUm8
zhkj!kM8n&%v?dTK-<2=^j2peMA=T2;4q{8Z8Q5tZV{kh5G>XNH1D%sBB3{b>jrBE2
z)is|of+rEI<4;sr5#KfADY4K2>{E8)M{>C#Y_S(TsPbb%GVLdp9RKUXp5Hm!nYg1*
zYWHt(?iqTN!!bP<B-MjWt!M`4Qw?CMkSol*ffjvzI@_f{{fb$aaIl$X>Vu#S`=<Tt
zZJhrc@xL#^t=O$&jy5Xedhnm2rJ8i$2Hqmwxc<@d9oA)ed6$fp9+cCz>i)U9ic8fw
zp60qyj;YCyjE&#d1+DP0e=H))_(Ds_?tM42@a0Oe-7cKEU>K$wk+!vfOXWWf<k5YJ
zN1VGPP6*e5kF;rIQ-gUt#p>Bde$OUc|L#&F{LzM=lqs$(d=}^Y)4WGA`U~E7(ox~$
z0c{X){v9-SX$EH+FSx(2<{NGlQ^bF*MGK~$Qj+WBrt$b+C4=O_pEz^+3z3UfT5!y8
z{(g1AB%b3W?PYaw0RJ9hHbHFA1R?qJG)l1(c!%HFR92xOJWIGuD#TI~rg?7m^}iU$
zSEQ3Fk3Ic^_xyBkHf*Lq;i!VLko7puuw6gQxNj66*}Lu@>_mYT;Ui)8vg7#4xSy#@
zOyhW52IfQeiwtJB?i*9h#&LQ<?ZW!bNgT_bkLnF1gGguUhqfJEg7Z!MuGb9y+jCFF
zz_td&2yQ<6yK4fcp$jZLGCGS(-!_f#QPTkWed;#hij%l;Qo9XJ@;uH@OtMyVSBDq6
z<=cnNrf|_|+fy;rMSRt!=&x8h3DUS<?>&<{jngTn>nTbs<LMr@LAq^3Xo(wSRmq;g
zFS`W|UliTp`I%hi5I!PgYs!+I$IjyQf11CBVC#7DrKM-B?gZ#n>hVs!Jckc_^Qn-_
z*u=*>M}u7+slh*@pORk9Jiga&%aWgy2E}-%Ul*ZOgI3aK`v;7R`1!Vw5iF1v?GKRM
zrQ@Lrq4ZUzCQ(cH@h)L|mq|J#AJkvmg{y#)F^$!0(G~o~u?UB*>kOzx`WUU2stVls
zsI~4fyo#%<XAPvdGa*Oj={GsK%FxQBd$h5C9gh|rQ_XT@K|jRbwH@VE2Coy28zP)r
zc=ckH+~IIGR25NPA(o~DxBWk#UpAmYZyBeQ-hSagJm0d;*oZ0tN8}9=?JKmX=6W-G
z?-6cPr7C!(s#FoKiE7^yq@hR0tMJpeBzRG<C3n4<r6LruyNp!lFrX~15^DbgKEzaa
z*Pm-r0rI(h>%&}`P#c?nMw^=eIx7$^8G1(n-q3p0(OI$}w&dF1WjaDghjDIAz*hl!
z*i(k~__Cp*GVSVb#v({Ks3&_=O96b_KCUG_<3L_637&<g#Zc3MkRBTm1t_l{*itd#
zMsyvLot}LX=*)$W(HwjV@FgVvPyh`tlBwv#<YJ`Ju;Pkrf`S61cK!ESDxMGZ>6vJ@
zs>!18zUkd1P6{9)O_&uT2%xo?)Vs&4<j}nPnmJdo0;uj0i@3Ech?FMw-yU~YKo4~?
zJVnJ7VTyUZxOrR{y{B^N$;c`pA%)O)Q}v3VI%qleAFCMR;O=huNvDFW*|~@bH<Vyq
z=+we{M+x*j$guOymMWr~Y~;v$s0<v9N!JfFNTIrrk|v`a?mZyf*vz0&g&(x7eJvF-
zD4y2(mIFl{CHh2CtculuVwff8ASj3ArMRSmh-CD#O<F4LHW31zEG;^u$fI)gsLlWr
z3Nq9Sd5JHmLsO`@Ycr1`YAe%CY%<qGp}VCxJ-W$Y_``w6{jL%!yj&?hqoakm?oLO~
z9oK~0b@i_q^;A&S&ve#vEZT_oAB~uwrZ(6KbzSHCq>9|R%J<)Ss*Q}xTkUocb>U`Z
zq{^lP0qK03yIv=zgK~Rw(rfqWgTpIMgLFhhl>z*dewYp-aJG7Uy=e%s8D6Xw9O@{D
zQ8luQM+Zf%TG<|2HHMq!<0p`k22yy+s&zV18_kIqH_*6ZaHswl_|cNlwU<o`k+-za
zn=2FaB^>~wSI@gi*^rSvtF@n<izc$I!#fLy%z*vNx32{OJAce+mLt3`$mq+dN57rE
zQUMXav=zFNkyObsx5g?G3S@rMq<qsHrY@biIwMX-B8q2cx3W}Gb^Em=`V<R@{LXP(
z!AArAdv?B0%1RMk4ebbK&9Hz^3C-&lb<|PlNxBxf6&d7@Te7`F7BKYU-Le5rL^2U(
zntLCLA`kbNvVqqYfX{H3*s~K**x!R+_-XjiNX#LNpzAwxc1_2eP*Fv#Y(~&$%Y>M6
zShxAX0@NroTaOi$5$!_7Rh7X7+<ReH#P(Nn2zm8yDwkIg!BMBHeP_$?{ipTXB@UQF
zkzky=>#7|3=WEq>?7u0@rzoQ~q=gDRVK+j^qcX^NC_>+4a~*3B{Li4>gbJU6*LEeh
zN}|Qf7M!E~bTBd7q*L|S3?klVTvk{YMa>sK1-gbZ!DhDTPcKO`Fe}oIQ}h->_xLIt
zW|mn%&Zyd$E*)UZeQ|w|o*(UvfA{@b0UPKO2Yja30W`xahaEe)(csp2)wi4M5LGTa
zTPTb{_edaDx&j+=KW_0=MwkQctMFNVkT(VWAJ%ibR~b+^ElvCZ9S&F_QVxn4n}9`X
zYKDs~4La12o<bGifNz53jso7sP!;WOzDZoc^8_6EWj?dR-4w-#%U6wHZ)>}STmB4w
zNA2Ez_aJu2KSIZ~*k}lM#>dyYDu?i<FrTN^JnTS-ok}%jGX%|zzaeM6TXCn98MW@`
zY=G0))$_X;K>LL=ex=iOSYjThmR=AWSk~;fXu7Wti`Ap4KL2{K!i*c5p1=nFQ;FFh
zX!YSJp(0`P*&l4s_`29-5*u*ocOJg(s|WQJKRc%KCb8WY4aW+N*g)2kFZK0DU8wFQ
zGGa&PuvniwskA^g@GVVASku)7&DK48&(thp!$v9w@eORiw0tv=sZ<9N4d-j}KCWO3
zp7yrHUF`7L`Lkt(oDM7$&dZ5BUB?;^_+^hyvV)n?UjH9=v>{5&dBiSg3kx#}{WO6%
z;Bi>2=_v(mu)N;U+L=lNpEex=JaJAC&f>m&{D~IyO4MF-?V|;Le$}%l{&7Jn&4-_z
zMq1GDvc>EcfgUc>eXoBa%L9)-RHxx>JNYmXu%sHp07nG1U$*?=f#K06mA%I_p-qqw
zVfl>_Mjoj>^L@(;XWmmLD_Ar^<T1OzvLQ3vJ7C-ESjz_;W~UgGo>D;gB%=Ul84HB$
z?eoZK;)hh$(Uw(L3P_)f71q#YgJ3ncN$UjxI2kUHoytLhw(jCD1D))U(KTkCWGn=l
zZ=V*pd>}*dHMOPW6i%p;9^{QH6ozTLoTI%-WEkAQRzkhGVXdQy&rewtHbh-b8yv|{
zFP0=RS;_;OLQ$_AK8pcIz9vJP0vWDIeH1?aoELh2`~9&_mjL#uVaD&YWLW99JE!rT
z4{rb6C=iX5f?gHV{O6q-K(d|qUBWH^Po!IFrKvKYb#6Ik`=th4U>~BF+Aj!MWs_Sz
z2W3I2OHf$|*MO?ixi?-t7lPyMKJu5(%fb7}7}g)ZG=MEk^Hvx|1UwJ!^Bbv=hy2g?
z55MFg!`D+0qigR(!EQi5*<w=x0>Z>t%gxDfLwwHV_9<})^)`<G;GhJ{@2-=JE|bB-
zDb3YbTN28~rgIygDnryv(37|kG7LGL`Yy{W4JE1t=H>jVpqTXajmaSjxE1=mJas_^
zYO)-6w@0eMR@tmg-9HL^Ay*b;B+5c=(AWD${RHrPPRITrQxnpcL|Gg&<Y4Yn_r-Eu
z672eSnQ+Wq3odalV~0!R;n2S(-qa{{=%EvR`yJDURP*xHo>vNBuiM|>SEvCT&5pbI
zsXFkfCNF`#QxTlclKy;fAj6DsZUxmx7g}m7N3RYmLGk%D+kt8_XrGJ!wg09bIG)}U
zVK$)*XA_KF%GSuhkeoKrIiU}2foxUo!z$2wr9SPLC<VIX8NQY}7(yN6*CRO}RH19M
zihg}ZH^+BXm#QNp*cGb&^VAhJ2>xmpm;8kcfu^ivvX%*4`a&P%uR(xpd2g3lKQaVO
z&gNO&F$Es^XmtD`0iKHMwnSdl02beUdG?zaXuD3@8!r;zgBomnSR}#UNd`u`oqlxI
zwBx^aE+S073T}SHN(8odShb&q85Cv`Lmti(py%+g_Kj{;SQ)-4Qt@DiQ|Zj90!0L9
zJ)Res6sio)hD>)pvrxe;)`otU6anT320qoyDnPOC=Sw|yRFLBeaJCLmgIk(>d)NHr
zAn}HGn_V~+#8;m=eoasXNzbN7KJTR=AW66MPXZMZ<riNpMyr5sLrz@tq8KD`hVX<%
z?aaUYYx$wGGUSU~`S&DJ2qy20*FJEgLd4yDUO@s%kn`AFbKoc+96fdjf1*T%F25&q
zzuqZ;*!=I+{!C8L+k3raYS0XfhZJvH9G8dBPAYl<4$LsLP5#-OZU#a8P9q*%a!~*8
z$luSjbWq!lNgX#ZgV!<~^s+TF5S(54=&Q*(Rz<sYF|7yS5Y6YkCM{CH&hSU%7HI)9
z{qJVOtup`@z3&T8T1o6A?XJ@tj+2;)*7El=+yJ)BDVa5cqHt7MfH<)|j18F8v*<fw
zpnqW1)_lkRhU^2=>%9F~&F`~yUh$^T9j$x%=_Nrp%rU#?r0h5Bw)W;4{R<OlJpcCK
zi#&etaKF&7C;khj{=B`?V%`|M($Y&<zVX5*mvzAu^EOOt^%bd)Yz!w_PeeEx@jy!^
z`}p6HHcaXX1x!vG0sq?XY*Gd%%tXEFRc7hH9C8Jy`7aFNs4lJTy)8DdVKwkKJJ*Gk
zb4t|nGaCX|S<@5KY8IF{=bv|o`3H8s_OW%&K?A5&U{I=j#soSEnTOQ<eqjj}G|a+f
z`XIB#>K!r10EwKeWw$E^vCy;!2_bCyQ2x|ma_$s8;Ef`)Nz;EY<7cnVTsp1?(ffy~
z*Olnt-tr9tE6*{^rqJx0L7Og=XE`05;H3pDIXt9dVFG(`gk#lLUl$%E#;E@$(SZAv
z7t#;*&tN}KZ@>I|PX`Ve+x;a@Zejd~^-c~^=df)uzfr014tHW3YlOaRVs^Ho7RuNH
z_Nl^N{YI)bs9RFJ3}`p8+J|+7V%sIGb#+iAn^_yKTOInqeRgAqQ^+?sa0TOc?K*rr
zK?^K>^M}8aH?T@Zrpp1vYZ#s0{jl52S`g){Z;__Ffw>6F8L%#HV3e4;AJ<YfVOg4X
z_v*n7Z2d!T$l=4=nEYRdkYHg=kbT$9llXQ6doF5A!>~pJ+tF1Y&F@iwR&ZB_x9=vl
z;+QqG<w6J7a*~ob^(a6*&=l*bw}pjI=;e7d(ZdzeBF)dwWO#2FWVQj@Sk0q`a9(Fd
z*jU@MRPRrQl*ZW7M;HxEe^EbYw!s7`_R=w(3}jFU&&<zUr2$*vj5jv#S>P#Cv{9J7
z2JA7Ejr-k73uey$G~bl50Y`t7i^VN<fIXHa@rVvQ^s_vI-f{pbrM4<|o&>u~{UdAJ
z=z*(2A<LbH8`edBJ6AiCAl~)C_~s@9oMhb{(_g~_G!%A93L-+z^1aVuc1-a8c#%UK
zGaoeFI2hEXM+D|W4J*PpGYC~*i|`BOhl*I1!x1kD;6}?cW4fOen9~dMN4EvQKkJK6
zg)IR}X$LL|39>`2pI2hUV<FgMZg;DDLJcmR(xZBAaloFN%?B<<i$KZ1i=MRGYVe7j
z7|$%o4Ij3-jvfvXgR!<?>1J;=@W0n8DD;#E)Lir&oUTj2R=cxslfD`lS%(+Lj`Knh
zU&|lcZYl5;<s2ufsDYKv*%)67et61blRtM)2Asm8_*ga7pxr)tecuZK*s|3*!?h#}
zWYZ$6->y4(EgOF2i@gvq@k3qOA$d6OHgo)W(axTK8&k>jBJf;YZi%r+0n|EmZ*mC`
zfJ>WEKeAgC=GR;v=^s~u8#e>Q#>xoLX7nuGzD*qV>su`|aH&8_Bzw!NXd*1S6kV(v
zkp#EI2s6Pqs*t?dNp*`QftlQCQY?=QI6gIfo_~%2f9@Uhe1p{CNdJLjmBz9V%>OG;
z3`k(#>cloJO9rz26{DpvIiQ)uaJo%(uvpaV&S0hh3p#U}?zKF43TH>|bs>Y$1##MI
z{F)GXtpE9ac17?`Nxr`*NdZE(kfo!Q7IZf0WR!X;fqcJG-uHG2Jn|yAh!knVC+uJI
zqjF_vI(TgO_z_L8^XRELuc!-ln(K*D>nadj{X*?(hbEkx@|NXo)&rr=$Z}_0HRx3=
zTjJ%`f`KC+Duz=Hps9CI?x8CI&fA@{InAd9g5Ri<{zr_!LyOk0#hnOcF@Ne_cWJ`E
zIwvU)OA{C^3gR)*B0=tZrnfQ9nh@5@$z>{!0pxfqcYY(mm#x=M1*sG`SJ0PzCJf;I
zj097dsX8dEoyp*c-}z&<nNJMvHUs-&biMJgIw<CHt2e}`Lxx(($T<coEPOmL^M<Mp
z2Z;eWkWPTziDiph1yq=vJ(r{Mg9O9>a&G7OsK5h>hc}vq&4DDlPwWMO1S+p<9v|De
zAHQZz!0}_|AZt7)C2CBBLyy)Tel3#){=J_=3o^|iF*nQq6yFZ7+vmjmdL+Q*>fYX6
zJH4+t)BJqTb5#&Hz0&AkBLu~{areh#&7r4bW4=OH1=uKs_rFT;!itBaytR!v+<$k$
zqAOPklnQE&EZMLCIW&#!!3GsTV^V!_Tmei1Ny%Bk+gRGroBc;`Q{mkJuNS+XJeZio
z=O?nwVn3}LB9kdQ91mfvpT8&z@1^6*#@V_s8cD4Sr(T;uj&XI1XO%QuQIXaiJK2t3
z%_ls-EzDr{q19COc?sA^&N85u{>9lu%4u9a?eK9p;b&WjC}>n9yJ%F+;Hw4O9~>P3
z{AJh+vNMH%?U-vGbNmASd^FPVWH|<Yztb<ujPXOjNB&I#j%D0!wON$$gDGUR+#_U#
z@PgW_75j6kE4cC3Me*!G6Uds`=Qi%k1w906=XbMJ{9fhF|6Vbfz{P>rUB7m-f#Bz(
z!!O)cao&OFu0@*0J3hBz^uECa)W&#=W!hETn^}NO+usO|d^vHz&YT`J%0z_Z+*a@l
zKSEOpcMak0nWy=eY-nIh<66@G^UFAYsq-0)Ap;0rGxmIDvyT0DZ*`tEc?tJw>-79d
zFaSy^&8Bbe62|?SZthpYBEH?{-S#n3ADHcUh9^Siu=ozmf{?@od|u_kt=u*}I9iF1
z7N$>PZwa-7ESdB85N*l8jH(`l9B%cJk{ZFTrxz{j)y&}^Mvbk`UDAcEbjFQ4Cx2sd
z#?Gy$=4Nq<wv6@aqz)Vjq>oVQ?#5m>_o<$?oyE_dQ%14}bilM&ctwGx9pl?QBmDZq
z48E_~Sqp!^)3eM$W$^&QN-_`CcKOcWe*SUe1-jbs)qksd!y^Ox9`MOGM|K9E_IS^q
z^H>Xb=r73~<g3E}@n2C7q@Te_bXh~ON?H(k<oQwST@5&!+s!xOEHn81^W{T&#hS3M
z_c{$Bt_>HWxhwaYJcCDjEIQ;X?)Y_tDTd+fSA3V+WeIBZ3@&Neb33P$0=8Kt4YC8>
zIG?CRru_H}ZhTIWmrIKRoo-Hl);ardnejgir7^SkwJ~&lw4Mxk-=gCWUmm~@OmUH1
zwde4JCUI#2dooBCRTl7G9K=(KNgW&9^Z59RMDG^T09VQ#LvqA0KF7N0Udg+FA2(k0
z)16QUzg+Vkuh74^eQ(3~lHnqLw)d!DwWK->aj#W$M~&ipO^d_tr7q!r%R?3XU3Pd!
zxBEcyjej`biGEiWjuo6;f=kCRg9uF)dsj)#6Zm7Lrl&t^SMf&riCN|E1b8bw<atJB
z8W$cRHo0W4<8qPK-9%Xe&}gN4CAZGtxg)~k>W?<@n$2Q8`(QQr5@qmpRDKTU?=y;e
zxU!8uP#QRy*Qg3<+9+)xV;;|IzqQYfN{e1($pot@s6uK1OTM_=BJMX=`PQJ64(a^3
zQy`zD0v(B$*djWXa62tFS4BMrl+<I!@?u6AUdg&S2t8cE1E$^ALM9l|-wGNDEgxmb
zTG)Hht#l1Po^WCEcMCJ>c*49e+N}gG%vSqpe{SIa_AA<_|6)Zg793!IPzge(xO)|0
z8<%t){=}lhf$q{QY|Q;qgw5HolO@wM$oxXM8l{8_HIo#DF9+@Ps2jU6Juf;G(C|B`
z>=_S=;8d2GVN(Q;QSrd-S$f2wsq1@Bn-67v!>L;33UDgxet6^~Ms)D*HkGNDABl?8
z72fhu0MjWf<LEVJRN8uy!2DPc9U><>zm!pcBQM32KHX(S{!w1!jr+pLD?pt;cv>FZ
zyu{y+{AEXvYorUTJ4KNZt5^$7yF3uP-#wuo=0b`_0{vDL3Dop3h)KFZ9`rBa?;BHj
zkmA3QJH!Slq|tMGh`vJ}YU5@P>|^6YmX&$UV@)#Xe*gdg|Njh^cR1C56vxf%y|>FX
zFW0@-p5JrL_!*IuRa7#HvKk24Em0&Dkun;{EbIFfiHe9MvdS)-Z2kOup3ig6=XuU~
zKkxVJ_@bUq<fbfm3Km@|E#kwPeNPBAS<7Ix+KFt;CU~H2`S#Q#KmcQiEya4~WU=oY
zz4G5m@lYyaDr@c{gl&KA&Qvau!<b$=jn7)jfw<4cr^2%$*n06O*W?WaY>A4HWd!75
zZW{YNULuC+Yu&3~h*!eaXZkWkL=`}@WrzR0m?ZY_aa`7|y97+xQ`wT@sR+iQwlc}i
z(wN-EEd8z5s+i_i6^8@MN+7Qho=UF4VTQiB*+XM$*yO(c|Kh$AK(F*=fErO2le4+d
z@6SZWIGagnQQ}1S(^LDps|=4t{ke6Oi=ToKuf-l8_as4^rf58esXR8Fat7t(Qpd)r
z_%PQQGN=>(rtSZsfEB#{ylgwGj;ZjvC&w461MWZkN97PD43khp#UE>6Uy59G(fgV(
z|MXWyA{_xM<KU2QkkZ6-vD}k<b=uIJDbW@Xp@R8Hjuan1qKOr*^%Nx2>%q0p!iNLD
zs$!yd^kYL1O>7-Lmi3=7fSB6ICM6m*?8D-Ic8!l3n8^B>-%cNmU@L3PmuX%N^AiwJ
z_Wi4l1qr=);(r@}V7~m|nH33}9lY4s*GR$YpX03_zM#VW@~vP}2nn+n#Gz7}WGsY(
z=4NrBF@y<-(b}9NVFKS03Qg;YSaX4uuTO*tl%JO4H83P$_rv##e0!pdd1T93ut=N2
zmQ4_GyGjjP*S_PSdq5uRb2X?`zGVs`oYw874~W=;dn^9o0uDR1V0B8e%@o4r?t3ay
zR58zsX$tw?V%Sj*-RYW6Q~3T<?<sd80UOJ4jAxGK!*nWpTc1BS1%DL>SEeE*j7`zK
zi>{d&drf<(A=J|p=+8y;coryN$)SuouWHv(Zhy%L-%S&+KcFbgmnw%v$8^jO`*)ze
z-41HiktSd@rE1&}EQ?L;D;KZMpFwu%@0&NS8iR;)Qh%T;4%3f}bk3jIM6}M4gQ~rZ
z;bYeQ@sK=8jH4?6QF=)ScRjsygSx3uq&6IOyiOGJGtdZ|y1EavsbjYyjj6yR|8L?Z
z``(>9zKH5KV*w9_<3G$R0np=tI)V@QFn)`N3FX3UKyu*ru~Y>hnhgt#o#w`3h(-SV
zn(WZw^T#~b34x}KoWTehHq4yXH^K2eJA95w475IG1T7X<>&lB6F}aMiPo!0LAWqv$
zhldzKvHS91#UKr~r7qFQKEw{|4GE(~=?1X$&g?HI#|CP9GcP^<0Xq~wvTPH3s}H<l
zGHK4#MKqf?VN1!F9UL1w&Tp^lLFB;T{ef#^XjQ8po54>uFlinRIj^e+r8~x=n*yEa
zq+qFsUlJR*J|<3MF}g5j^YiPd!W$$oHKqTe5gSBDE(j|0=s-!{IbM0^ex%jt*IEx7
z8|dJas@PO@Ac9nWdz(Cgyj<F6E%28WMi^P1OyAH3C&j8`kDccbec?q#FIqOB{K;cH
zxU2=Sp7FgiKbH{kusdEuBsO^Kc_(N7m==`WH@)Nd-(TeM_5J?c32ZR_eEfIV7fo=y
zZuV<AWCICUlEK&**&#_!LFKKLCU{JS7o_-aBTrvAkFLC6hiJj&kB?h5;1xrm)Gz8k
zq`s*#v@MDQuHrY?SgbXG$Fd@$dzS{*FPQU{Msk8f#j4<Zk2)m1`WgQH5FL=#sr22?
zxF8|K^|IRubwD`OA22<qhl#AD?bk8fKwFd}bZU(PV+pqfndup!d&|gV&4LF=%l-cm
zQz;POTE(J$d>=FxD$Y&I@j|WMow9Kf1+?#7k}m$l1a9W2kiP^U^mx4%{M1W^^XFVh
zcIGUwX34)4q{a_X@^zocv1E9d6q3;Xg%$kYQ8Z}X1%Sr3((RHK8ICRSWL1W;Lud4m
zwn~8@xGJ0t6Imp|;*VcbK@?8F^VP<1aS6l6e7xzSauN_yurj56++b~Y@o-bR2)vg6
zR96~Fg0ihAhNkp95cjA0ldXXm^cB^f<2p!!quHJ(czJn2I-J~=PA>s^)yI_|kV()$
z?iOLw;Db?8ppx+)N#H|;QXIud@bE{=&zpYykY1Vh=wP@sq+fp)bc}}tH{O>i3{(lg
zOPWq!yHp%7Pt{#!5FkOR)5XUuqC)V+Z24SCwG7DE<A+`;kU(@}$a6hS7;b;^t;w5}
zg;2%}yG<(+c;du13=~Ddag$T0hb#wLr(F6|qe-AX%6WmKM+{B`&J7_k@=&1q!`<Qo
z3Gy2nf6CpH092;1RQSi9uQ(6(Zzz$0?I)sL6f6aCiVt<O^_9SAGs-S0mkjU4iX@`S
zq~Xfz-)tKXlwt6M@mvjs0{i8zr}k9ffbU)}tJoR=3h(=7;)f}qTDsH6gUW!oQ^!D&
znJQ=%+@0GhPzT?0u2usbvhd_yh394@5!R1e&Hlcr0WwC1W(lKsFbk^+mCIBEYvThK
z22(Ua`}(sVmP>LlHS+4<BU2Kji*{t!m1uz;pWE`=9eFqrY!~03O9G8i&wisRZD3_A
zF%8{SfD@b7^8<%S@O)|h<|{2-NcPwKm_MfogLb+hlPe@BzkK~<f4bh@9xgGcwJL#i
zN`+A32nim~wll5l>cdLdjiT~6Wsozzer`021QDMyb~=3xp(?%g@R|exOcsS5%?Tt(
z4Y5%qv>U<1Q0RtcG6C31UzphOs==uL3FQ<nfJEo`>xrEN&@Jn>%nwn8zzHJb%rgKJ
z>t!-BN&rvOE`iBJ0))LAVd2xD!peNUx_$!zXjU)L<hm$<x&Lt`^#Uqz5?}L*c@x0L
zu}$ppt~`iw9-a!NHHQ8Ov6_Q}%8-@k&z+r!2eC3E4g;z&pqph>NxU)?mQd&lSY+UB
zfXja>r;OnNvLtT;N}zJi+0#Q!3fdYKns9-}ke4jm+p4Vyt+J<!?#GFOf^D72&WXJ~
z_-B*1cog8z_~V5qs)7&{uYeuj>;K+;W^}4Y4qSaX!dnb^;i@?Q=>T?P2<dIVPrQnU
z7CX;(rB^s$pyILlnN}*~`MzHF*OUeEl*_>_7nmSGSKH<OMJfbZ9m$j)!2y@1F!ND2
zI(Wver?)9Zg`K;&jO}D;=-_*#NVM8U==TT9s5b&6pRIoL>ZT-EY1pSn#jGML??<Vz
zM*%jhuhClwi38{0uk#mm7LXbKw~1lP2*?*!6WTEmAa7YuQzEAjjxVo7vJ??$?iZda
zP8Na=hI@WDyM7|h(-}9@j~YSN_w=ssu>x>|jaKlW{1B4xYoUMnt|1`kZ?>geKEMy_
zKQ#IE9T`X3Znl3hfT5fYhoos9i0@Fg&9&%59s~;y^zj<N14?+8tqV6ec1(HMb@w5k
ztCbJO9oC1}K0&o<6C9xHX;e@sJb;W{`%%W4s|Rj@g@<;$*nnlgX|A_+2)PuN78x_I
z3(8g1sY+@rP~}A=et12Ka5-q%%oyuJ-03S1)(n}zS3Aa}J#q}02=A*WKhS|2pU*Zi
zB{M>9nWp*0dy~iu{?&iTx;D@ve$**Z1{nI_{Y-pi1~KiuaBSUK8^kCqZ?#A0K-ey~
ziY<N)Y4?phWQb{jtvI%dey4@AymjqoaEr(zj5%RRSqqqM)g8G?PYccZY0)nH%ZNJ<
z!|qO|CUjPOa-Mdkfu~)ml76DA$Z0#m(tZw2u&T`H7b^dUv_B91x23*@OpnQ`VR0Iu
ze&o~NrQKcR3CkAw%JB_EC(-PvBaH@#%CoMh-`+(U(q+#cDBMCceJ|*2MybOYk0-6C
zeRdI#s@AKq%)7{zpwydZ^y=XL(!lEX<y}N2FhniDga!_`_PU?APJv#}b3^FoT_pTX
zCBE+tEtqZcMaT<LATwC4quBKyl2TWd@@I_>bhb*%xAMtwgG=L&5H}4R3@AH&D2M@W
zToQ>}&?7_IlahM%WEzMUf9m;{aUWa>@MaO|Cc(Bs$Wv}bTEO2A{y9_01UVXCCsNLm
zp!WD*v++S%5LjhXijQXj*ApHmBe+R$^^``YRw*4&e{wb3Tx5fs1BY+$ol%3F`jp3C
zAJGH)eiui7n*)@k*W1Q1A`FIl>>qr|0NJ$;Y4>`$K-ywfYFCN~M?ESHN(UI>)W~x_
zQ8^yiEUAlTy`~D^;sZMVDl<XGg1klgMPB&baPPq2KNT>(jywG@iy4e`(<Qbi`JnIL
zpk;833aGtNO8lhB3i?0a89xXWfU)dmtxaAPs6o`O&8@OQiOHYFcd~o>5O+xGD<go{
z%Ms(85e}e=KMHMI5e8<Lf%las2#_!lXHvY*1!2_pYeO@lU?a%!IaYxH(eqQKand}X
zOT608$1DN%3BwslGz5^m;HU0(lou9~XX{jLrQoesldaF9GKBg_pFCd82T%DmY>bDc
zVJ_m0h}w=axC+K6aH|TywVZS2(<(Bs)OVo9d9Qz?$a-EACJ4vHqVI0qk_Cfi-VX!8
z1i0Mqv6vq$49S^a1ACd|;Aqj$Pq<0K-u*|Oxo0j4E%qyyh3?41N;9sEJwXMWD%IZY
z(-Vh(y=^!jHASE!yXX8mqzXok7e2kWkp#8mj-S-;N+9EGA*tg=1U=!<%fTSMmrtq|
zUtT9b8#mu-b+#G|hCGz6^1;ECl@<mDP=&|P@*_Bv1eNqgDxBFeu%mUwqGXl`xKN?%
zBj?FLV>p*9IwT7P)6c4C%}DT~qw(&&D-@WI8tqS)lY{u}h$bNhGPvEiE?Zls4x<Dz
zRp*>M#Nsu|OJ0zn&7C%i#HtBIHS>RYuN5G?NN+n?ivppuO$Ut=v_PceeAlscMF>0e
zt%M<y0<l_=YFe^7z&I)Nb5cPW9$0H$07*c$zYP3HfuM$Bug!j4uy3%oA21>Sk6|p$
z_B#q3p*i2Z@kAf!9zNInPeTQme>r%cirLF;&O^m2=M6#L<rYq5@4kNTXNsHMCWB2+
zoXjOE0`7MlGRN<#f{((nFI<{ru++0AX+;1$zEy-@SyqKBNsg0zL=w!btl(wLsqp!R
zqy7zUBE*N|xepGh!cb!RkGpGBDCjF7DNd_`Sl6#F68i|?Tyy$M^EG4mFRmYcN2o&S
zE8@WUIR(geXi~niWenn32l`vvRbWC_I_gLz9-7t6Jsw$@Ky(pHl+OqO-iKGeVY!5Z
zyiAt!tY=LC-*92ItyURm5J#EKXW~Fecb<I^Yy!p3OMk0<_Hs|2(!bNqg0Nt0m{@nj
z1h%Kxf+QCez%Hll%A6+;yqYie7?UvpMc!q9*JJXqc>W;|QIiFlw+-fazZrx5pZCMr
z^>_&Ta8p`$nFb7w^>H|c8H3%X@HcM(S;)TcQuO!VGIIO0qLc@ZF}!1vx0gSQ1N_MD
zlL^gHL_+%IJGUGvRP3<vGd__5C|ND;sn14lBA#^h%2d!Kh1FkA6bH9EQM?RHL+EIK
z?6_Vzz~R3p8uh6nP{F+U+aPKhog_T4_@xgJ_a@(9u2m3%*Q5=+!WU49MLNqPHxNj8
zfQzS)`QhLE0h_$_B~;+e12(CABj{;aXfFB01HA!NtE!<ZsELoGtxby|45xF*Pib?(
zrc_~0pTa82>&52~KWhNu4Y6vs4cLI2%`=%ER#ETv^$j|41Lz-4H>P>Q1o^*=8tcYa
z(4g&i_VxDqFp@1p>*vb=5`?2K_4QWJ7wslW(aCzC&7Sw2Bas$FdYWz~A6Z6+ss%pm
zcIkp2q1RY)b_ZcUEK%X+w1ke#i?ED}>4JE)QbX*Xf2=L1(mpp`M90PKmp`7?0sOwX
zGoL(Gk=28E`V7(n`l8cU!@E%%l&oKvJ?~#c&b)NbWY|B4+BEsfd5CKRNi6AgO2RCn
zI4Gg-Wc>$iD3XHH5nAw;d9!m!d<u!Y@m}=A#TnFR(K*3%R1?sZWJ5R4U&xn=*k^p*
zQ>bsIv{}g>XZ_u8nsoQ_5b`qrqd<+vBx>y^d^z;B2G9l#L|K@8LuR%Lm?~r^Q0m<S
zIB#VQIN$Vj1i#RU98ygQUJxHg6W+30JLjka>1x*g^7k!>8Q(2#ck3~<VK^c}PE;Kp
zJuI6XXQ)BuoK%>RSHIBD?Rk@h85A&}cuSo+my1-ogFu+oFEm1CX{1S*0+D$;p9{a-
zN4s?^c3TC1?OA%9t8*3^Iu<5mu=ENvOKWxC4F50m8s$fftsEJ8E$D8GKETk9d;2pQ
zO@5(v29rM5N=e{STxa{_ObaU4@=rSS@h|kY(TkQ<BNFT$JzAVU_z|_2^qq_%jiK-M
z5$><%sKG8yBr!j(6P<SAl53hBLpwv)_pyE;LPQ5$tQbQ#Iw(=`?soq;ib*h^q}x!1
zx1GQjbnz=%7421ru1%na4#&NyQB{S@sv}p~|9nG765G3S%%{*`Zhd1O9~J1l`&jUi
zPd{p2wUR5^HjNVaZf;H#5P(syRLE`Z2WqE&$FtzdZ`6Y*V<0uF42(JYWfHl=Xn2Rv
z^wHp1H1c4(YL2!t+)Iy3FxMVMt0H*={^ic2pIt`Q91@j4)qv6}Tk#Y1AKA&-VqQcO
zv{*&)KNMk(<YaZ_zcKWDzr(!t$t6@us=1F|OA&6+-(Kydoj{js#Ef2!FQXsW9a|>S
z6yWQ@lf54XCQ$~SRuY=BiZ=1wI@7W)59jhP{h$s_qd_s{*GzraQ18$_iN~Ju;9B|P
z$vMtHXjx2&SxWE*nw9On8ueKYbS!aEe*)*wtoFw*!z;GXA$%owfUz7H>GhmBnz(?v
zZ^}dml6TR>W0IV4HF&T+`8}&@brJo3YnRsWA`Q0S;XOR2jo;%H+rPIGm(lg@@4K?w
zv=}1zjkd8yc8^0li#zvpdx-g!qHG~O=9Obfb~cfP^(*7V2DvrVH~Sym!DvQol)I~h
z_KOT?w}d4y>2IJ8Gr?k7SDCP8y`v!SEdx)Tqcl3>w@{O3VNcQbEEv6P;JPin45-|`
zBv{L~i)NqiLY%4WSnKf#UiktXJdM8eILwy@>-Qz<O>S{w9i`qYkq2>5ba4)mUZlnJ
zKBj7q?{Z^~1wQwVvf#kcW$i#@4n5{__LTN~J})-?k&?&wK^k6u^?sfa&WH_&w&31e
z;>U)0B%HVJO2Y-+)ad2}CT!A%^{sfgAm$$Rszy3U8t&{4KPzit!OS;W9Yjimv6gDh
z-70r!s8bUDdK}oX28z4|Dk6p@nwZ^)aFYf!+)5U=!HG2n#Yyp^5?EUOq3HTRX>b~w
z`KZ6ejUk!!R|4#%F}AC({m<k|!^Pvzmf0ThVyr)mS@g$n*eO++M*Rh8$PLk(_~FNo
z*)RTjr<o~>Rb;V-R-eFuc==zEP)|WD{hoU!YoHvKe&N!v8=VYr{B!g>5ig9<)^Ys3
za#{iF^hsuY*)0Q>#P3O+eWI9MVZ;nRQ3=yH=%b@CA`5+S`leKO2~5WHlEX)gfX%3-
z3`COUfMUB5kjEm8NtGAO^YIa}hU&n`#V&aWK5TZE<1!B8A3o4Mrbog~HPrE+|D*`t
z#u>WqFv((n>K>ha6hOv0?%a7YM<75YlXhTTJ|0VMx@pt*kb(^s1zWpqszRCQ&gt7u
z^4P4}KV|P)bu6lxEZ_Tx1Z^kMYYy`$VqWjHvRdmku*R_bdfsRXICj~YQa>wU<DF9D
z*6Es9Ust^hHA@33{5uK%B@nQMh2m$0WG&3MZf<;jNeki=nG$uBRk7faNqM>$EsQg&
z(Q)d6F6fX0g1TQ2G5HI*R`KVxu$~|~+IR^AKs2&nNA0R%E+@k}{phqXN&5o3?9WE<
zs`!RWS|SO%{QI$$x}+v{HvF7iQ4N3}6UQ<(Ny0kR^ERKgsbj2(-CW)qRG5e<j4>1;
zW2CZ?MiK`F>$RNtL@Q_lqo#9u&O&6&JO*cTb6E{*Q_hfEp*Mx|u8iwl!z8Tt)Xv~h
zI|62V+$*^KjVT0t2)nNwOu}wk6ih{U%VX|Oj@h_U%-}n{=q2YOHLP$*=y}rx9Hu@i
zZYS$+24#=*y%hP0SdCme{nG#u?4I+99Dx8cNaRW2{jI5jeM;E9z@E>IbxcT(XBe1)
z`-8FjTT;pxyM^wIN)as<Ygl-Y^wSg;#6~?_#}u$WziD^J$r03hV$KEcYYKJSHkfmo
z9M)1$oOikYH^MzNT4Fn30`CJ0oo^ws*b_sXSl{P=2xrozZF{N-@cy_Fs<$kS9s8MP
z)H|{d{0dK55g!}Fk!!bGeg{in;<b3M2~l>?O`LaAqTkCua_#Zwv_&vulV7!*gL`>F
zi{5g<n+mtR^>o+_1hBZbZ~9Oz9ylocpI_e>fCVe=w-HG^7&T0*J9i&1h*-!<5X=Cq
zLVH#IAnaJ;6i@YX7%yynm^B!TL}1S1c}6bdKJ0g;%9ia5UhuzG7;YJB1gZ8U=a8c`
zSjhA(b=4AHu=Z1T-`L~#<QulbvWb7u<@+2sgEU@v#XxJb@Y(=E@9{DAmCT^((xjSh
zA6{^NJ~_cUr4Q@(Q(u?(_Mn4AW!>}Iyg)lSco8S74-Hl)+UE@4BJ*m^BG$}%^`Izy
z312<f$LudF@NpDrv^rd$Hp&D2DUm!3Z*<}5zF@T%&u5XDx|mw#Rvt(xRvOyj(S_S?
z<!OV&6-0r%=8P)J17h13-W>|ofxPVGq)EmNr0t$S>isqzP?f(!f9Z!dM10*bVL!Wr
z5WYRXsXomE%d-9PE7sa@ZHcYudIJrtn~RJelG@|GZYH*%W-Z7_678wap@S}7eDv-a
zUKn~NU{PtT1(i7o?aHSZU~MFsH2H-WRO3_~Gv8~%Tivn!`hxr5&A;1uS@wKzbjvz}
z^PncYt9z7PTg?Q2QrVl+rujh8@~NW8xCW?wnjM}vzyjtG(k|o&{4nZS(D?bX1{9>&
z3<OQG!r63}q%WrgV0Ro*c9qZor)O@452M+kqju?GueBhI&d-SaZBmCdpYPHX94DNP
zyP5RRMhO0Ndq>U&ssnql?d6<yE;zH(qZH#S3?IKV3gs%O1FLjL_;xcl{66<z<ZzA%
zoGQ>d95+sZGlo-L+b?+F8g2QD-DOd@t$ppZ)C&rT+KuHW<?QWyrm30xgg9tYw>-Eb
zD3G#MaF&$I2ek6<wj}2yV8pIVgWZV&995EaZl(NSuKiVNJxvNUC0EOb^(dhI{Q1fM
zJ_~@yp3H7Mmxd^GXyGhj?>*<pBi4U{(ED;3|1lE>mz}h@Y7{9T!BX))5QIU`e7*Wo
znhZE;PV;_Ir$8@#Wu{P?2oz?7>&4xdg{G&d&4>*J&?Qo<*`_EE&jx4tJ;MW!%i5Co
zMGDNN#kNcbiNj+R+joSwav(uGYTi~(0h>X#A2B-;;M+Ckt~M+WwbI$2<>=Jm^ds&%
zj!Y?-s6#ACy9&^C_~iP@lj@Mo9m&78=SyIsnxZ781P)C0H!=s*fhaoP{QEKviWQvv
z_LG%?<eFBW<D&tBv?r(gkIH~oPFT@|9sxuhA&-e&6QbRx4u3M1g*=t8kW{h?lxQ3;
z{PRu|4E#$P>=p39@{#M2G^Z-WO+FPJO4kD1m5KBi7CBJa$J6<<RTX51pDtF1X+z1^
zm+d>_a!^9_Yaewc!lZfWa%_+eM4y%9UVbeP3Cy_D@P-J=HGwBR!gQhZ%7lq#qylJX
zgg-1DCW5RaJ0)n37lN$~BM*}m!E;nbc)NuN*7@H)PZsGz{4jTAPy1fI)YUrOj|lr%
z4qNiPHvrZFb_=SV5`27K{tdVHANu5Ir<7qs$n+pA#=cSliv9lBKf@~U?YpF7&L1Oi
zyUu~|E-JwzODQ3hN&*0{7d2=S0W`@_m%yeBT8M%<m#s3Sm^z&Qa1ubx>)J8aT_u<d
zJDV9-zBj-3npjB-z>k<rS&lX(c)G?q+^`@I;+Y!9@Iq9`Q1sAhIimy%`;rb_;gy36
zULu<h9jTCFd2wxPMiJ0XN7?=Ive2N&Ie9RW3Qvq!2U5)yp_EkR;H`^;^Q8<zHfdDg
zJ|amv7OMcGvj5qfFO>xN>G0Dug9-<`kM*uSl?Utn7mw43iGf$MV`gd+74mMzwwx)K
z1OJ3wnx-ZpP^-CPxa~`YQ{%S_SzqDdw)r84*lK<lRLNOOH>3jNz)LCdC$jLtrtnDU
zE)Tr9q~&&tkqYmH^(hspGQhxStfQpM1ujm`2L+k|{%+c2#YW;llr)qUf@g!BjLXBC
z;Q$jH0cJG;(y*1ws9f}h3CcBJgzsTHOzeJFn*JyWN>{s`Y~~ptDfK08qXL13Q*RW!
zJH#QqFy3<KH63V6NrhOjA)xrCtFv}m6l~qk$30`F1*z}GULTGc!QyVK%PpJ;c(KNp
znmzi5-0f3|JNU{FdM~=lM_v>HN3s6F>fIgWP#(`=I|f6T`^z@1y&wRLakcFn{5y!#
z*+UaOM+|_j#<wK*DnGn`>FPG|ZW}pb=Ve@3q7VNA009606qk26mH!*ZZO7g#%H9X(
zaP0Bij;+YZ7D`G{iHu6f9z}#ADN-a#k%n|W*{S%FLiPxi>^*;e|325}damnvKKK28
zy<Z_G4?C_I^S~C{lctRAEzJJM>~s>7F1QOBpm}j_FuRwfZ(Y2NxlwPWd_1WGK?K|U
zK2a_>ZDD-f?Bx#jcw?osv{@S(f}KTP>vKYI^dm<T92Eq`S=<Q6YeQ6rgLdH(J9rG@
z>(2C1f!S`ho=27zlrL^hm6x!=anU+8LK`)FXTQnmPoo8aRo?0CnXHh@m=I($Km!%2
zyGu1enh@;mlVMWL0y4Y|m2nJo;90Bq!t1vNG~DnZ`7pD<xkKrP{LJZLd-UvCe{T)A
zEJ+_*mdXsDl2ZJS6*7Q^Udq#j5p@`R{OeacFav%nLNSOJ2d|e>2AF)*;SPrlQ^Nsf
zc*hfV2)oY&gw>c2U#3am*&f*0Aj1qhzq7K&j97pRe>KVN5()Ul#Ohs~m_fY8A>|J(
z8#MLYml|Lu!8$?I!TC8eWa;v&>yEI)$)eA;Q3Yz?e%PUCT!{tdv|M!Q&vSyP;Gg+$
zeKn~4IsGD_lLf3ePQN=D!3CiVVm^FBs=%-qdGTEyD{$4Nsq#PI2Dj>C9CzYXVdMwa
z)pDH;3LT<TE`R5N)WK+mV<c55FWt?XEM$lL#42?LF+R9C=`h_lMTD`jTGzrM4oH-}
zHLZM&A67?#mg0(t5D6c52Mai%yo-zK#D)Oi?1H%FP7y(SCFF*nFBkOvG`~%ALkOI4
zB>1RCgzW@F1vVpYV9DOFGSd+TYt`l9H#j0(lkM<wRpS9i=a-RswEMx{C4=t8BmvS2
zhCdf+^Ma&=W<t@_0VtXoN_fygfVofKY||Y1K!(Jcdp=kU8cdm*^O^}TO1kA=k<1TM
zZ~qOA$BM%wE+qeFD*;@XeMIAa2*A?DsUwF9CBVwJ+2L6~0WKDu(>|sn1TpqUlD~hE
z1Rc?ROG!Hf=o!AA=w7`KUf1f5Dbh*<d*O!LI*|zGT=!q-S&G1nTB?$(kqj8r4*T5=
zBf`DXFY#{6`+-%0s9TmS3yNhJS)hvu9n8LSN!6lIB2GV__FWFPa(iE}nySLf_vzEC
zjbb2gGo=zHssP7G4y!xus^FlMiVJ=#4phl$xW?m(kUw+yuU3#61lmQ9FIGx`3(ZR3
zt2=mDjs9g_N+3at7&V7<r6inmzpdu?RtdZa0g)eY>hNqB%aE#)0$k|lt(_WWNbY?&
zrL?IIu6jymFH}myc^zfkyKEK6wmrK1g+UX<x-#xfm&w4TiBq1{q6ApbJhkX9uLac;
zMK?z8%7O{rS7X(I0F!V<+Q(BHidE8XieHg~oKT~6uhRtJ>tB8)T%-eemm<!In#jWk
zc^Tg6z4O|f&b=q+b;0q%{VL@pd6?!GR<95wKm_Yp_BN&u3HY~Zb<qlNvuuL)rk4sR
zC6AAlB^W@9sNJpFzY0*_uu*2DqYUSoJbxn!1}&p9c8v;(urvM4>S#S492-|w8_xp-
zNmV?^&{Kpik&%K%Iz_m_uQ?hq3y`JI=%_BL2r>8M?CDwLfp0|fcAlFdsCaxHCU+_T
zwR7p#rC&18{E#jt>4hP@9`)z??Wh1JyL&I`Kazs-_gPL=vxZO-A|g5ZTplE+&ufmm
zNr2*?AhrTNGPE&PG9Da}gXmmi27`TKFcPDvHz-Mln>$Wo$L3_gimJLdc2F47x}~{B
zg~?#nY38RgCIdxH;;}c{1mJB7-_P&6hM??x`wj_7gG|7O79jy%h_ybj>fC7vH20WP
zSyH9INr8XCu7MNU+6#UgWgEf^9f#w>_L9KcCfM8lh6U=9J;MX74Iy-V;j$Z_1Ryc}
zfO5nDcTU{!%h?8?NA1<(KgA$AyU%AdhX&Z|UmD3j1{lPN*RvlIg-&_GO8fa8?0!hp
zioPX)(nGe)*Xts{;2%1U@vdVpZp6E(c4MFr`RTEF{XPh2h)OfxT*CS|KloS(U_gDY
zkIAZB5M-jm;v%=_G2vpNqf3qkaHgYhd;T3icxQR0DNW5{B`jB7_TAQp&nxVb#2H>_
zedet^aPc3uDeyRi)TalzC9}ReW;~$qVzWodV;ZBgr*Z8T*8{$U>!u+sT=2WUT&~7<
z8q4O@NOkbng@Z=<KbZD%Fed%mGv;IeuqEjeZ<%X!pw&n{$vT)FTvguPi4dN}&S=!s
zDzfW9qf?e=js0F8nl~|TzMaFk&0mCc`e=iPJ;`M)m>KStv;Mg!vw$^yyH>|grv+b&
z^SYdRa9~<n<fPQHh{afqnKVjh0oN>JG)pKW$W!BgE@dramK*tQbcvcEG?poDX3YS%
zx#@40C#_;mk?lFJ=QW_Qck-v3D?MDqT^CTizm5S*mwBhB23Uu?62IQ2gAvNBNRF;e
zENRS5(4tcvw1i$~c+t`Uy}qecqU;Xl-CKH?$3h(vyRV;<%cTXzS90r2R#fn@_<o6E
z0|`QI(mzXap#}cCNvtK=)S!ln)^8e-U?P3p(h{SE^2eHVQ}Z-%$gS{`X|o!fJ~mYv
zX+aAL6+NV@UUX2bD>CYESPdjDcAGy8p@mC7&o_sR(}Ngf&3x%og=U*#vBXANNGwk(
zBt<d8wZc}?M}Ji~vXG(arcMW|Ts?O@G??J{L;CZFX;fjl)hTgr5g~Oc*J*%>1=dBK
z|I5oG0*d+;ryfEN&3<Q-y0%#%Y^GDYN0$hUq5emV&GzP1Z$9T99|zzspDflLCIH5_
z&|<002r*tk`o~H+LD2NyPqt(NIFQX1xUF!|yv{#xWrz!cg9{H9X%oOkAfuoxh6$7}
zxZY&O^MDOa7^QVk1tg*wR4)uNgU*$bb@~im7%mI@o#mtgRWf1QD;|6E5O#UYpNAhz
zPL5q@9aM%6l1eNGBRdS<k3XXOQUH3#*-C4Il_6iiC79B~0gA6u(>(%&AZ)a*c4faZ
ze7}x0?EA|JA3PtbJUT24Hmn=0mc2?Ks=VMfM8yqS_Rlm*ZTCZZ8CTtxCrV(--<;5=
z%mW8{CW!AsMIryquEj*U670Itap;Edf;jnKsPl*zu<xIgbjaL$PuRtkeLZ~O^v1&e
zl#m2GQOwpSRVhIkOIN`q2LZS}eDD58Z%H_NYd_jvQi408TC)<ff^d>s!RIzb3VNMy
zeM)jw21Xi=`?nwM1GB@swtk8-kX;Zd$oN|s4k_ULX2V1vhlY1}vPc##c_qmGEmDE<
z%0Dizd=J1wt*<N<a`I45>*e8RL4XRMheAWzVqp5arAq0g0(_CMs(#f+fad=4k6Q=D
zf!ogG&@o*+SUuFVPe>s`WmS=m=xGUXOwT*}=DiXW<33*f?5YY*wse<S(j;NZr`&uI
zuL3d|3WIZ&YS4a-F}mrU6qJTmW~KuHathu&Dsd-4>`Q;fsHr_3TU$t-`auBN{1mmk
zG<7&&Zr2yfBMUM`gMAXVMEEh3!hT>>1O9H^snFMugCjk^4f384!El*;cF;x($`Wxp
zn58_7yz3cl=-Hb;mm>D(KeS<;{iRuexdOayJZz-4_dNMh`^t&EoXPMr5VMe1gw%`S
z9~ugYFd>|GaT2Ew4vs<j_+N^!u~9)VRVRYLFHwt21qP5&l3vz*5f9&2KOALABS3Ve
z(&}EFf?M7t%tIY`NS&+6etAL#R5qP96F&o#T_klWui~L$gD}Qzp#(&~a4xxXhH$i@
zR4sf24;N&&Ri5-IK(UOb@!F~(P=_TP&Pl@qM?u|8JW&oNLp0dse8})C>GAP=8a%LP
zbLEsCmj)$@1Nc^wLApF{U|3%fOt=NEttCi6M-Q_T+b9__=fou6nkoQ8l-H1FpePW|
zshLtOkU{0}2*0S5JVgBJ&pyJx5BODgO=5qM!9-u+jN+gy+_w7(I{W#cxY(*{kU|FY
z+smZXt1=L%k!Uub&k0k)^o{eeWT=mEu4HDBhMxHQj{@zP;PNir{-0W8=t;LJquaap
z?;^z?1><R8-}sxfyF-SMT;k>+%OwGcb!Fm5i`KDQqt;)?!VO_xywFp*J7N&=+=2MV
zb`BdW^~)INF@!^X?|p3S4?ueQlCbZ8BN)vU@&>sWfb{gw8_P^#_(I+--MaA!)0RHs
zBA^WrD?0X+b3+jHgt_Z3KdGR+o27p-mxaNzzTYp-C-FlF-(j)u{QptJt;i#S?+xIl
z>8-)DCcI$X{<DSkM>pln>`1fjgg(epdiZasa0AbD{Mi+JKV>;BdDWdyA08die8geS
z2}d{i=LoF>6!Su;<F?cTtGhB~K_YBGdtKzvXX62iuvu?JQLHWmWqxlEre+57syz3{
zB7GDxTim=vqYfN4%0Er5!w4cT(+dV`x+zB2Yo)HR=s>X0TUzTnIuOOh<a`eMMp-NL
z^oe!S20e+ld9N~QK-<)rDW33^lK)FukNJrf=y1HOuY5`ccl9H)JMPy}+$Y(vZ@Zc>
zmpdO2O1p#E-TEm{HhM<sd_NWW$W0Tdqs>>|No-<Nvhnyq#(b>n=Q#t5_ZsjeI=;28
zbPZECSt&j5`~fq)s^y(5t^upsj+EEwD_H+R+mpcTR;=DlPeD6H9rCqi4+Xa^VV#@_
z!q3+_F|y`{xxzXL95lYQ<Tx*4Q@K99I(a=<H{V#3h93#)rp_g%$}M2#q2F)DY7Sz{
z<+bIyBWf_-<k_2~IgdS%D4~BcIfAV_Nj?>FQv=T#Nx$onb66@Wv%2tV9Gm{gTv^ql
z3N}4=cB)rqG4I+I-q%T!82j9O*`kXo*fO5`H-Bgr8|O(rK63gGrpU2KK!ZeZ37gO)
zZOmX}DN*<xw||&jg_{$@p1*un9e<;{HiOaeHy0mKo5Q&LzTB-^Ab{t3%Q8KA7W?7J
z9~RLvkL|n{@2a^*fD5BIi`s9q*uO51QR54XnE5AVT@GFX^!6*gv3Hom;Q0vkQ{pmK
z;jwhU!hVlC<L+z8qjMM~=h@sG+bY&rqj+N~Rv9vz3l8Jc=driWMlN@l*D;N`Yh{aj
zc{%u3%+Tf70yf|6v~~u+iFrkYDEMyTLC!trR*C&0#!_YRE;?)*Ycpdzdl2y8Lx|Cn
zJiUay6^fR(U)seuxRV;6rYM3;VPq2d;WBoam$1}pM-BbET~h@E3J{?3FLIW46?<$M
zvlje`22yMT-`Z&?K>t0b6EQc|u>B^{#U97#pw#l@h50Ob$jhg4_(a~o3bU_<YaL(!
z^#?inbz5>!zAe#5CA)>y|E|H$)8c?p{g~%|KRIYK**Y|$zk^lW#cee3GlTKVu<5`N
zS?F70nrt(n0;7@^qLCXb1c^pi9QKlh#3a)9i^<eb_TRFD?GJVk8E%X4nv#L1tVdiT
zW@+GqNS0W36DL^TBBg|1mVrc%>YJZK>7bj#QMr=L4Y>w6KT8B;fFrzv6fMI5eqSeg
z14emZUQ-1p`B56AKew>5?=r%&Sf=b~2_Jmh>F4qblZG|fv3^l{X3+k-|AcCe0DS8X
z7CDSbgMUtmaH$?EG&v+{W>*Wr+Qh@3YXZ_hzxFBo=M#1ytCV)C(}{q_%gnSbI%zO$
zJDr+P!U+_<?gQ*`2jJyB{MFM;(y%OJJ9=E08y0$82xIrepeEzlp*}fj2)8vT`}mv(
zuGlmc>hAUT*z<?(r<{@o?JNE%J*W5}RM}!t<%uMCsV|*8-YN|VqMm1}O#~qS^XK?F
z7il=QRy<1MBm-tzC$C5y6oT%s{0w0kS;+Wh%GJ5Y#sAJ|9SpxD49&7Rv<9qu9yG2e
zyuc_2ogbO@2X^cSk0Y%E<v2yau|CMd>+boR37P7&yco1}D;;OzR|31h#LfCw3b12u
zdQ>1n94dE}NIC!Kb%cP6L=+w-%Bcele@Q@S_5qH$2L$;35dX@pP#MNFp8I&aOTqD!
zfmD$qBDhoYRJ~6pz!jm*Kr|!`H%F+Z4&7FTq<l9eV>(qp7Rqr-XJlc5Z|2^?05#Ck
zd+Pt{i5g6?d}N$hk^|_nzvU}Qg2GzSnc66Ih^1h0!J!Hu$Xk`U^pFJH8dr_E<1~Tn
zwr`?tQV|}9V=J7$NN~ZpXXfiOZ4gSfxM!)O1i}wS#=rk0!Q~dslN<}WU@H1ECgZp=
z%=%Qgez-yc{>x5v+Xe<;>@pD0x3{mg9y+Vab!y-cWPX-l2=I$S-$F-Cfa{4;pT3o=
zf@cxEcYwVipnZX6PDBDENwzjd8x!GYZtKr;2g$(BX8(*ylK=r`rg9ZhD!}c@LADb$
z0;-mQTP&Oen14QSve{M<A}^Z$v2Hd3ONSq|@4{4ou=m}wI<oMAB~Cxaz!*B;cHs2F
zmEoqRc_@WV5~>uq@=nJX!`qMTk?&NMAoH9-&d}fekiof#Z@p~{3n9{D7mF2v%P9Dx
zwJJYc_Ex3Wj53DjucXQKlkz~zdv@r74Lg(-V$51b#-OP`y|hLx2dZsiGyW6Q@JLl)
z#CggHvJ(^PoakiWaaMEPu=GDn(N&7xJk$t&FrU4nx+Muz?+a*>O<E}L!!(^`SILlJ
z4<8OMivu6ms7ZwSJViLzy;k@f8A=pm9t$msg5&qAfn<{{%8B|B1ECQ^X!^7~cS&3X
z=)BiE&s)==2ddQvhxY!b<KN9=zSjg{PUdC{(-C@9b--tx_Y*+Xzl(Zf`}n}KCamO$
zFC$WO`>q*62B6{Q;C{Wp1<SRse)_)0p-Q$7S*+0*bT@XWv+%RSLowqDx^N~GR{!{2
zWU>LcsZ7t@X~qFAO4Vof3lmy7t&6*wuMc<BdAb``XkjcMU~sFA34I8?rH^X$pg)@L
z{cYV{O!Twlv%owi)X&0e^L|nn^y;m|{LidnReu+l9#}FVpG4{(6k%QX@J{gIi0>R$
z$r*J%=?@Og{T}XNbJ2m8O^IGvi*Za!?(oITBpiCk{pbC^d~I+Y4!~Vj=)_iQPd}AY
z#i6)csIY2U3o52k&4-unQAC&Ilwq0?vAzq`Z#C3{0~3V!@UCx^4Sc}huUbYF?cV;l
z^qwYs?zQfy+a96l7CIyqJY__QMx0I)yBfgzBUU!!;BQLjP=dm@H;jlZ_=i*6R|A9+
zm;}}rW+{z}Vw}5^jA$jw%9itoIwZ?W#HQgEDOKOR>sfVisJLPL!KFP9wKCox7(2X7
zsrglY<8mbqEkyjKCf1RlHI%9H$Bi{gf26l%f*lh&sveam03^65l|9BRvPt<kvqg7A
zh#56B9j)0{uLd{c<B!&7ZBq(7^vZW|EU58atC-qBHAwVIFYu$GLQ5YiR;ndfk#$@3
zs}p;CFA0M)>e|%k?Ug{2wo`2A&@gYthcl``R-nPf2GO9quU<IU_p&3U&`a)admfq)
zV{^vs6)g&C9}$w)=R{Wt61&Il6M_3{{d^J)J(@ffcd$g73vG>Ry<i{{fn;|_q|$={
z@%>QDij?I>25;8vum2$c{gRS|%U4EZlaW-^XT*anZ*EAM<`CeF+HLYL+r7C-GtOoR
z=SAwS43r#e0x)W|r97KuMiI<`TOJ*JXjYmgf|`W@?>`5B-Fd=_fG+y7jfnt~w-z%z
zkgoz}iNuq9vFu3W;?gCHUO}Yw*F14RLj}ycZ9d)tPQ)>ScP>xehi00+NnIn#psB=A
ztZc`Hh$Yq*btgrTrAJ^|_XA~+kzsr96UL3gG)!^1#}6Ry2V&XuA<A$h(^0;viU$?G
zahJJlD2ArpsZM<MRt8HUovy1mK16DBU1mKYj<#sc3jg>kgM3GeG+i)1%3DaMbl;Ic
zC$sTFS2LBN6;#BWHU&_}g_n-lkR&RIcPB0nD8nDZc_nh55W*Dei}q<qBMWM)b|EVj
zU{6XABsmMCpxsoh8+T<;D30^m<}Vd!?{Ro9uCgD6`5HP5u*#tryBiSTNPzoKPvgDC
zMA3!N-f`1-d8GO2f<5=Qz1*zYhfK1>5aVE7?^hZ{bfrdvgWhk?^DfEJ=06fgYf-a8
zyy1BC=$gV`T`^VojyE#COp!nc>X)?sD53s{>3rKIRmhlp@czQEB(nM~XwYh;g4{hu
zwC$$UK=ZY+(ouS8B>Pn?ZOVXvmb<^ZUD+bRe|CBDrV27he7t^<rip;ub2B2ARW!h*
z<~-(UDU0wmS9Wp<MAUKf@?1)kCa6^%a$@q5L!q;dObekzL>-~5>;Fd!n!0b+|2ZL#
z6jttB%*Z05)v4u2Yo~OeG-IGy*iHd8$-H&zi6J7vF4a>t^SU505&raym?ApMyG%+p
zAfjPU6O<644=r4aDb+2C=yj|1%=vl(nt+H~owOKS{JUf8Zj48)1{M(=+yun(A^{|H
z0c^g+td!lrque;lnFLQ|^qjUez~C3a<KKSwy&mAve~bMMo`6Th&FqY|%Z5;`v?#uI
z36C0T$u=y#@@P`%2K?Id&8=Wl?p+}~A}6-}Fg1`xjR|P6-I)xxOcPk7q7{)NTcO}?
zycGHrsv)|1mkdXE9U3I66;PX=M$EZZanx31sCM8Z8Lk+oCq>uDqtVK&$!xs?=uJg`
zz{O8wxSivxqM9RzZd6V3XDA4vq1`KKPOr(3?e%?u-ANX8<Ik}w?d@0PLnW5o8)Vq}
zGHL6xEsbiY%-niSIMHmw3nfuoGMpTl%(;{)g*MggjV{SBA>4rvDd}`%5TkyRE+Hj}
z&Ui^RY5qrpN_>O9v6dOaMS&`(@Jex%#1a+2%eYA~TJT(&vowUE9!vXI=3?jvn}kW#
z@de6vg)%+4ae$Z*k-*80{RnZDC8=;uQWg&m_w2h2@HMTp^FBcs^*l_|3FPjjG!$RC
zP{9sh5K+-kTPcV<&Dd^g@z+z5*Ei2sn_^&mzUobyCqIfRomYvvm5Ci%`Om>7&;WM+
z${T&u;6-P01@n_nAgoe@KB}-lAD+A$qt4agMl;s`La4tqWBt6p4(ET@1En^4(D&m+
z8>x@~QnR#ThZBF_>}1yi+>dVYuW4*ZC1K{@oMsEQ8`lsUZ>0+|8d2=zd}j2Zp6jlT
zK|SVMz4)>{T?cXl6*6bH8Bs!7(}9VPuQ8SC&E~>BZAc%NRK-f^k-yQs)UCxVOis#0
zdRRdlwDlEhRP$-kalY2iqUFyhi<0-p+#|JsSx_+|uZtReGhDYA*{GwGa_2Dq?$HF`
z_ii|7PKBQJhXL1Q8zqs;{*Jw-CY&DZFz}e#rerteG^F4APEoe~A$K-c171`MbM`;p
zq@d@MQBA-5C_}cl4>Hkc!0554t1ETulzGk$h7U3$l(^4Tmb+)wfz>!XicDIg#2s<{
zF>`F3QrExct1w7{%(wCzJc}!o?Xo$evyUe!sgp(hr|n3v?{(|zxV2@<^)Jjs@s&T6
zcOMQue$c80yLWgxt{5y+e7i$!<B!ZxPI->IzB1kGeJ+**1(YR9wr3ZaI5tO7u27##
zZ&C%<!8F~Ip-YsovOn%kB@2|XO35rqOI28F61=c@Y>5KJ{jA3#mMAr9FYdZ_5W(NI
z_pDs_5`~q@sI~so3dPG_KTN@$2vGdb{bv0VB`KG6mihD=C4bSdCuxs6G1m@VbJbX;
zVB#J!#qk>y{sH^Wz;FUMJD-cP`?gFus<bcNt#OMY6(&y{<08PDM0C72XNB^|DtF63
zVV5G^R`~j@g9`W<=!6d?ty07X{`=xNK!x<L{;c_ustikECyow1T%-6k8ao{^pg|0G
zEo24SmEirOu7TdEb&5g7?J?dOT6A_rV(a~$2SnU?Y-I1cN%?YKCTP}?9s!la^*J9r
zyfqexwB6XEfIvmAKOZA93%UAx>AfO&ISTo>ecqw?#ku`wzkx&hM#8(qL=>T3)W%!S
zmkK$auyT3M#Dbox(CduGD1d8qSx!zoH8MJ2=ihF|hPp3YajjdD2O$Y!#^*X3WVt*;
zbLcGxGH^4hJab+i7<EtP?h~a$(F@BC(L^p(E|Sq)y5|Yj0$yQU`Sj@f&@_ep(H_U|
zwM|6C$$`lq@55KgjOf(B5tc1&UUaHDhFwrn4uq_)-u35TLQ4y>aXgEBXd-if=2x36
z;O;q7@O!=FjMRBPrEdZ#(^TR`Ua~AiQz>3DA+RCFe0-ePfDocn)flmGmW3b{Kko}E
z90<QJI;?_61Vz7Sl5pPZ?~-OO)IYIvq5GU9o3ob=pq!ZcngTUh==fR}U=z%Zc8~rY
zH%$~nZnvIDM3~7!)UZ{J#U>9j{Xl>2=s$7fSyQO>-z8b_4VdD%U&x2%ukBEu^xxwc
zyVW*#yDV%rlp^l40w{o3ma4VKvG75g_Tz`-fQ7$VK*C)JJ-a1(eXLpriA}o&My<-h
zQ{!tvLjl5wSaiMnOr#u=dQDH$`a>SBjo?G-p6*AhA|{)c-4xLE?#FMX<`tl^kUK+z
zK@7Dk7dmsB;!(gh$aYxa;b1}V%a`Wj=zjnJ0RR6Cmv=msZy3hyz2`B)F^_%Du`=KL
zSWzL_qe7993MJ!5L}`#@rc#Q?&M1|<Z=#~C%<Qa?>@EEKd;f8Np69u*=f1A5MWw%x
z^g$KO+qy<eazz<Z-roH1>!BpJF5#>y#z({kM97;Qe^lYBEjr`3BZVngH7w)kN!T?n
z#?~XEBv5bbe>&+SgW;ayQ^J3fu+Mf<N&j6WLnzUaA%8#?GmGDFu`VZL<u|6IdY9B-
zc(T#=xfKB`s-CIwbWy{kM&*yGJkx-C*=2kV@8z-WciXQDdepEQFBQ`-VOsDgx1q30
zKoP?aat4fwsAD+}#-*c|wPE9ueD|t@61F%lSbX<@I<~ggdC~2bF8G`KSCs`RW9GWH
z%eYQ8tV*Vksy0s_v_yygl%G_=3SAmK`E=AUgJn*Q8yEu5hpnSUI8?En!AGT@mSpUo
zfQi!c5r9;Y4-QTtsu*v~^-gYn5+?Q5EIjHP1&oTF4cXIFF@)<>^_+?-#`NUeo2_(1
z2;xb2(dwa!ef*a<pZ-M=yY@R*|DAymylr`huO3vvwv$Mmm>>b0G1{Z9dS?Wu^&MX%
zFsoo(PU%#YrqY;X_QB*A%*OC)_WO&JStZQ*%KdEba0!ej;2uR<$rv0MIn`<JDPsAK
z;s$xIgs`%l5Av2W#&D_tC#1F~j|oj}wVJK*V4zOruD)dij+vy$3R40`p5#&D`pJy3
zh@=AlD<hyGkaAsvWU=a4(PN!OyQujYoAigrj6f;>?pAb?H1_V7@gmwhjXurJ!s`wj
z0*4tQXImtRh4`F#oJ)C+Bv}1pukkPh-cpN{&}IoNMI-I@`L{F3QFe*Gjp6<GQSs2J
z+B|?oA5C=d_gF(#=M?C^I#VF^kzFz=S{M^cb&uhd*g=YZ$gnbW17w{zSbRiB5PMuF
zrWvzI1txew=L#EuvGw?ZAq74R%RfSh$fN;YmhmOc0t9B<Rs$65xiN10bZwqTwBXQC
zbA7wY0CMPEvl7GDv6S5)a+V|=L_73Ed4AIenV8LNGRlO}Z~K;bThPI)qg09MGkSoV
z;>CFe(_xw?oD4BdIv|ys$~f}s!4<m5xigtm*tH+|OO7kFKnXa1Ov^+Us0^hx4a~OC
zZ~3f8n$u~);*w|6%d0vd&2f`-LU0A8Ngd`^Ql*9SwsB`g>a^j!R4><}<X`lKEPGRI
z0}TX~g^q2pYQwm-RWx#B4E=RIUC8e=4aD}F^kA+BfoOP8i^A50UioxT(w~zCYD3el
zmMgU2@Yda@*%?*nn#_-r;VsngFYSn|9Jdy*()!p|t9?Y~tEGeubEx5#|J(JwAWe9h
zQjqSd(uMq_uzO!lriL|LBTLl*4Y;c{&&qyi1gZE|x5$-64Jls6=Yz~OKsGw((Awn*
z<oOXfmV^ds_-HG@l=fa7;vVajoYkE{`Zz=)Sy*Y{`k9h#U$Q!6CLg{}Up$A{swPGT
zU!Z}q3gtts#cE*7lg5AI!XmO}A~u@0OasrDtCaJV)nJxWVaY#W84)9W?g`GI1;2WW
zN29OE5Y17=rR2Ga{3<@Z*Lso;Uh@RB1nQ7MzN}sQ;_-DvKHRqY(;<48dR;)W{X&9_
zC4x&lY$BI68f@;{G647-io4}Vg1EokmpnALkp!JLud8k_0?TJ_qXTn9&_B<!9;UN{
zJgV~QnHpw-i1nZHk~fJkP)F1kw%J2g{&c%5d$2%CzP&=FED@a26oM2!Q9(+%RB0<G
z8$>!x>@Fp%LYVP0KkmQO;6BqX<nxCe2DY>1&Bj%rpjgHEpaLzB{=1Vpvd#(7tl^g@
z4OHMR*QwU@2s*f=dM`&^lpC5X8eRQzlp*#wT^MPG9zr`#okSdY;IZ_fopgR>ct2<`
z#2>^6y8#+IbFX;eX*yS-eX<g$Kd~<K7GZ`r&I@k(iu^$G33mA?wqF-}cINaX3#^;3
zb!vSU06P7UMZ#M}=nzQTwCiDm8TYxq<yaip4*fcJ;EW<{DvCAcEOJ0PqWbBok1zxi
z2y?-BMKG`6t#p6H1<PW@#pcVRa0~t6b81-uw07DG_<OlwE<QBiL7^DfUhw+lI-mgZ
zhr1eIDDy&l^)Wg84GExSxZUMEtN@&TX-l<Pe6T1nyJ+<t5BGAI@+$WfK&Q4+_>YnR
zxTg5LJWY^-fZ()ZU5X;SIQ&-c=1)P$Q_oWveIO0zj>pC5<|_i#1e#fpD+Di^ovvn!
z%ffU<cHb3kB^aqh&+I0NK%C68>6ABeU@^&Fi{Da$FIRrgKFvA+J*=nh+&?J~->qwW
zv3X_q5y;WE*dz|;rRObqxfCH%MU%oTp$aRz%!CpaJh*O&$1F4`L9a~zuVZFJFu#*=
zDPCU^I#1^a$b_iCNV5Rtv=j;c9zdK{!=>PM(BV1@4kDBewmSGok-=CC_xNv}G<f~Y
zkH6hPgx^UwG&;=HfbgN8J(5EfXk|(Ek7G$tUiXt@Jxv{I(nC@oI>|xq4&~7$Au`0B
z3g;|f)&%3vNim{X1aPirQuMk-hJ5G9>pfXoFnrH${9~s)Jn1s*c=?SCQNL`rrLDCg
zsrqoQ%c=s*)yc-v^pat(80&eB(}f&@PZGzvA_$Yt6ei@6K`RDk760hLuDG?|yEY||
zkv=1wt3ig`N~hQ3?+qY5de}EMR2h7?x`ryEND%r87i(<*fO=hNyF9H7lT9jTyKfVr
zlh%3~;iN#pIqM8bVHFsP;i%B7RDokEzoYIoQsA$>LIH(Q1tRa9c7MO12)hn)Q#5A{
z0d4W+kSJA#1kT!(@o@qyKi#SRIcf;KkzLdSJj!smmaWUGL<Wl6H&je@jNs*J0L=+a
zC1|$(En4X(37kA{dQ#6B0lfsR1ha%9n2P#8cDW=5ve)KiMZ=B2CM%D_s8=3-ShO7P
z_Qb)}m)2$@-bP^gv97+}n*e$abrGr^JaBM&@~7l}|HVUf3xE4%!8m;S<^2*?_~H_7
z+PQ29GAHlwiR#I~>n+95aB5oM99?PRd1wgVX9inDlcm6pE1O=>VjW2r(k;N$4S_Ml
zzWLKM9`2MA8~<8PBI0pgFLW9xkbXFJ=fxojczQ>L(c;K!B;u+tN%a^7ZpGYj{pWcA
zo@sL_l#KSGe00bDOX>yiIyb$9xC_Ivk5yrnv%k^zm9h-kZu@oAvYl{K5Jt?j$2de6
z(EBlYo!cD<wC^a?`VI2|iJa&yKEH%kmL|Wu@y7t<Vp;Ple0U%_?lCT}bOk+oF|XT{
z*#K@DIz8Nw;{vxteYJ(ORrH9WeF3$KK8zeS(<)G7gZDpQJZ|n@MU&{ft5}@%V02eh
zt00^S>eJK0G9Rp>3U{fC&nD;s--+u;h!j2GM!4*r)2yP+;2t*nMF$e)Z9ZL-p#jdn
zXHR}pSwSy9+nupu)&V7h(kG1TyGSs5!YvDpW%L4vftAj_ZW&vL(sT5;kSZY+mRQ0P
zs#7CoZS~|J%xs+3H|AbL+;+3u^92@Bk-HH@^<^zMM7!APdu9n4p0)9aV_86jRDI4Q
zAJu}QqwZ{UwsXjCW%BuhxH;5tNb$T_p(b1pVrmyEoI+}fjOZzbvuH_cUD#a?O<+Wl
zKc>7MLztN>WauBxpfA_OO>=@ZfUTQcBlmF#DNQYv&5)Z$^9)v#<i^xtd^BUaOTGu0
zHZgoLKl2;iv?@6}X`>D<`5zgNTx&z9yMy`yCMVJG9n`$?s~Yr0&8n|hHy~>lWW9Zb
zC(%@GA73Ae8VDyb`jU665ROnISDzab=&@2*`SpPeQ|i)AjP?o0uBdNzqWlDEl;-Wb
zqfZ9hkdU8fz)SRodh5S$G!y98RJ>%?M-s3KzFsbmd5`)OjhnG@PoRIl(01jUk)Wj3
z&lI~>k9t<nTc5O<K))#TnbYm>A^GPFpX}<IP|6U!hhXCb`kzk<_X9T~1W=B>Bp+)-
zZTQxleg#aTW(7Wl&qh`E|EC_-A=-f+|5;w!Zt)v!t*P=Ov8Y1QjSLmh&Mve#804;;
zm_n_Kde2mAsQ^op#b?@Uy(ryUCg()<G<u>k--ORk8RW>WQ%_0#Xxpwbb*<<h)N(cX
zoOF&7TpREecK$nv9(qaa&}*ATr^9hOO{0nsGe&E5`_u@^KFpb`kItcoPOUNhmEHHL
zP)m7Y?=Q64H!J>m@B;cYZ?HM=q5|Bct9pFQa}4$VRVIG8bP+Xkv|=_x<>BZUdgCGM
z1S+muUeC$4jE<i4@pR>thd{Bd^!C<CRCI0Wc2D98S{Uv_lXH#$Oh?k2yI)VCdCG#O
zi~4J*{>}s*_e~ClxaOnl8)i^CT(=8ecmq{c#BIG%k%RD<7bmu<|Dsvp529ZZwov?K
z!rNQvvXFA2$W|j@9^JlsEb#dGe`u3}Y28D5S@0lm&VOTDL|1N}dl<a1i|TO45E(*c
zz*ynKp|PkX^lJI;&l`PISoFW$;@L%MpdIZ$5RO|x-)e{6b9JY|yn;5%qAp4U<+7xG
zRL?3}D!v-(%|(Y9I?b!mtxCbk7qt<3b?a!JxoKwgA9_q+k)5Xbsubk685z0_ZlXg(
zeB`HfMr_uV=Cv8O6lms7N^q$BLk)fFozH8tVEUd>cc}{`LBZ&v+{D{mG$2^Yi03sM
z*49`^$vG?urw`lLU;jjf@w(*IUk&2Kj(2A7GOXYs(fsUjQA-*uOz_pto-Q|5^U?SR
zDGv|k-CzElq@u$Hgg0jh6Fk^LkIPGMPds#2@dzCnqQ}b1^?$cj^I^$eJxW?cJQ&aL
zJe8Pb#7>O88n1aLfMH?xD<YZk(8J-mcT0r@(~)ps=$OM{L@(|CZY)c{@vZveiv?`h
zHLZjKdM6Q#V>rfwV^IP)n(xRndvao568>FQ-#LJZT*O~GO^=5QsaGsVNZeTF(NdnM
z3liAL39F7P>Ua><dN$9~&4W#w4X1sklEf5ZV~%fK!^7|Q1Hoh2eAveHPpym!DNIE=
z-0H#_9;|}HpY5d!V1KP1SVY~F!R&JLzni8?LcE%q*Uxu2%vj=;nbcJ|j7mqoZq`c*
z(nWGrLfAww#fWz`W2y2OYn&#rB}f`NJB3Yj?;gO4Y<WTh8x^r16e)`%4KiTf_{-Hq
zLIOKox7BLSr-BWweGZHFl!J4R`_Jkm;j!$J-d<KMBKEd9a8&7(JV?dqzj%m~!irim
z|0Q~oum|Sr)`c~SP#xiA+g~A#eJdTa?@S<L_x6gtlHydrgNwU(<)kcDi{Fm>oU4X?
zIDePr*%%SZgAO;~`3TtAA=#^3+3J}2AMLgplnh>)sUIGGlgIwtp6NRppn*kDUvVV$
zsKX~--|s=;ir7@4%S<MNCYHL|vg#nC1?Q${Led45F~SezX2CH{%$}aLY2>LkJic!5
zllQ&~_TzHj;vvw)cpg|#>FDZ#WuH}Te!nWV`ygY%x={o3_vR?MHDUk@5_iI!0*Tn+
zhwtY4$JMcRHHl{Z8UVp~W@U0K5xZVMdz~*?4O_ZuN~T$%fLAZci+`7h(T;xV4j3R|
zS)W-(saT8vKS!~;wME3l`Z}I?K3Bz@T@PZ4OGYrSar|pw9TCHGI_d85DPk@Dt>MAX
zjbYK&V$#!|i2YmXReWk9i!nLqj?CdqpnOU9_TeB^tmS&<Z;cChtl2?hMCrH*WRe3<
zW{oLhX6fOp0(XV54Yu$UdK(kK?rL4V&!&WlQH9*)T;#&u1b2=-ku(7(F~wSreIAdm
zZngkXK(4>fxJiSJ8$bD~(qs&uCg1*k^j!|K1!(~-iwU$Y@Ic=a8)I-&;5Z_BLk8<L
zoUQLDoJ8oiUx`G1H3Iu^$(aTnDeSh-#2G`j9mK}=fu9m-KNlr-Tu4}#z*<|j**DJ7
zgX-mu@`w~eD9N7adX;bh+X&)h#vZdkAoqgNqjd_LkeMs`=O%=W8n<rIp5TCsdjZyj
zlN9hfu=Qswh#w0hC}{g%;R2QKNA@l?0rYJ6D@!$VV?{TMoQ{}tgSg+Nvu*kSNt#X)
zOT%o~#iT|VZHyZ(<s$v}0}#OR-kmLf%Yd=8b*b2_aKn45qn^FN27uF8TbGrl#=3L|
zwcl@YL&!zpZ{xT1;ktWJNCIgC&8;ai9v|Tb1z(!AmLfd}Zob~&t2>8&AJH<Te!~sN
z!(!56`*p!>nmSu(v>$Ec;^V)1gB#ZRA`j2<@ALRFr(gd{3bINmYz%kchNritI=7s4
zK;cKTm+qB*q`7P_UyaBOxH38p^rbe0Gucc&yE2WieSE&*#?K93*=3^7QfmXxJ;JjR
z+9l+J>=!hFg&UaZk~WRp4}$N`sGC*O8q!>}YUIen4HtPip4WfXf{~9dxG<@0M3PW(
zuTX^>9vWJWUD474y-|6y3j7|Taq8~9zi!-Mr>0-VSgZ-5&)Tlw{HP%$`<bS60XMjO
zt{&Eu*Mv_^X_Nj0T8Ol^;N@lI0WF-$`=LS&=r8`LuiQolq@0ke$76Zm`ESv^S#=Fa
zm3fuL?ZdFoEvFsb1$cq-pSz<+y*jL2U|loYWQ6l9mjuc`@&Xype%jhu9WIE}>|MRV
zyuZ)31}kpx0lvyyc4$ovzU8UhnB!-KLBBStUQd1y%3!85$W()cc?$V-5gXXr+8Cvr
z5`ad%2VB+0YViFh$4N^|4xr2P<M+5E2vYam>vPx0VAyJX@!K9JxPRGedzXWQVY2r|
zP}zQ-Nmr7$9pwU!%H2h-MIorQ$QQ{8B!fxf<`IoHZZJOWjsNT<0+|yp?lkY`AG_E)
z8-#B>uyjGH>%g!mctl97X7P|AvM-~iu#*>>|HP{)MT<dg)#!uaMG~wiey!%4;{(6$
z?einz5@0cP+VbK63A`+ef|GCpfPbs=OqLxFG40|jM><GwC6XK>ZYKyYg!F{R7$qU^
z0liFI4+$b<-6%2p=Vpjz&<9Q_h&vZwW;sKG7TK6*dW^!b^}525PEs1$)^V4|*~q{m
z>?jZtAp-ST6u)o-86XfAnKOY5!E}Elb{G!8&D1%MQy#KVVb7KM^#&QfP{%b0Jr@JL
zYh9!0Z8>mFOfqU1+3yqVRB1wx0EQNV(w_<f)D_^Y+pW|fsQmpzIRhSUmUKls|CERS
z`q*peyVQVdfhzmIKX{P(Sx?B_=RXH+{B!L9b%<aHo*n3v+|Mb2D-kqGfU=_B$D}o&
zs+Mgu1(O1r6I>hUh7x$QTwY$E*8ri#zg!cA($K)fi6piuLw2_O)sO9(Fw0mncsp4J
z{Mv1J??<Zu{c5OB?Y_<p`nad-gJj`0RR@hJttzx;=o&`;I0#p>lVjb?<REyj+a$n3
z6%5SIdENe_4OGV!X4}~a@bURO!(vBO*qhWNo#51k=t_q}jx_|hW@$Q0Ev^c#Q`ZLk
z59+~?znZ1;ad{|B+cAxOqyqi2C-2$0=|f>X^Y7Y5dEjhlcskLl45vT+PT`C)fRFZb
z*7ITt5K(jY?9jXYdkN!Pj^9II%OUW)y`=&$4&A!s=Aj6UeFWY;V}O(X*WIG*6rk!3
z^+a@wJgD;JJTk2Spn5p0B%-DO*FwcMgjx2_HGB1&5f=pvPhF4{{w)s_Ujy3%lCp3~
zCW$cTM1f+HD{CJD<zb@u!18NpX|PjyJIIkpf#;$%&*ORtFfHra=^`NsYL$}oM@lKc
z#P+j^Pm};O=H=>Lk`jPKP7MjYr$AAy>%VD=954=EP@1?X3U7<IuD`6Hz}(f01)`NK
z7)se@jCSMT4BNESn@kF%(cDQ7FqZ*R{Gy+E96zjuD)zVqQee+Dw&JL!G_=gF5<kTA
zfNx{G_qrYh3Y!Rt`XW-0bt*7KyN?sJ!n&I}{{iG}td)4};KA*B1WwA972G?8^K~i#
z5>&-v{eDTnd*9~~PhuFsncv4>#}lB7XM46JO&oH#hO^sG(LwQr);BM>0dl<K(j_Af
zz_`%izvKaGIMVQSSST2Qvn!>_<>4YQkehp+xpNQckxt9>Z7_fUoABXBX+j{p`t}Ix
z@;~HuM{toPuK|1*u{pHaCI}6}k3$<*w~+tdgeiNt>jSgR=in|S0r<{AojLVk6Is2?
zsXJV@uamZ2E|)?+xK;U@*-Uj439fZ=E~U|f(iQ5om7~0HF*G4Pow$jN=XdsoJLrN3
zUD?L~ZXR%zTEags+(e{5xVqGo>OhZESc3cp7tF=Qu$@iVLVjni!zWf9SV)Uo!clQS
z`G?r?orY~B@!6x+FMisPG!U`8ZN&k<rbez^GTTAs=#y;bS`WgxOXbUh18i{OFE4E(
z%N|me|K^hA!GrLoAVg>2IV)t}i^UsVqk`n%E1VlSTA(G9HMo?`0#vt0s@yZEA#EUN
zXpLVBqA$i>SM6kmK*qKwEe$mAhR~#IcSjR&8#+}DTFk%{fB8#1GadNf;?okN*Mu_r
zj3Z)AOrU)5KLO{{^pI7prFJSt18zoN-5kBi1iX%Yd#N1^;3#0IA<v)zpF`uF83LJr
z{H{zy(S->Z2H5HEC#XZaz|$j*F-(v>&s`M0%?vl)RJE&w)Peg$6@6_D6GSa~yg&Au
z6}W<TC{+b&ut(|iZxmsM+V8%;-xAm%I)XE%2GoFVi+xq{DKqrmKQr$T%LxX|@^QQU
zWKgG_v#>E|fy>QJeaBk3KwfCc;q8B9=t{mOM;2s-jE8+YpJurstG%8|ONtDrn=|tm
zGaF<UM~E?t^FmL-7Nxb71RiE=4()h$P}+Xq{K|_DOkXL6OkX2G#q!j-!c!c83(Z%z
zZ{UYR=6=<?dL)<{pLpe3&k2Jfx4q-_1VLomM*Pt(5hfR;$uap{VE(WA!(cNGHe=L|
zdVVEB(cN=r!(;aSD8J<L+c07HkLa{5@Q?_<MegXg2JwJQK_vGXV^Q$^+4%C-6(aDF
z{QN0lyx=h>6g8?S2HB&pB`Qx6VQKsDcv?CiB<lFfFW@AANe$i<TN6Pxl=pu8cYZJ{
z5#};e#Dmse1YOyFy)Q6sut`V|bX?YR>yAnS`<uVng8Q8A&s1R9eH8~ENhgke`cDeJ
zi%&(KjwHg9W|zHxyFy^9QT0UWoisGknBvJLM3_Iw?Y|Enpf0g`-jG%nqQ(mu^%jZH
z+Zg4cYjyxw8Q#_0w3CArVL{!)<|H^*c5j@PTO9J@v$?X13D9d|xGPsp0^=VkujoP~
zpk~3+guti(C(imr+(pQ+X8CjNN&p_#aJteNu8QEG-+qPp7a5}MZ~Rpck_4wrflyMO
z63|@ur_lLW4OG>%MVZ5;;Dt(E`O1(oc+cPUED2VJTP2rY$=r|z_wJY8Wm_t6xLUBN
zz)u4Ndo&bzlVl(uoA$f%f+~D9KHR<@t_ekaGlZgj&Nk~_wx&1}fhjA*xFA;xj2=a&
zNv7^|dB23hp)4ZE$PHY+GjR~OG#$NoVhK?G#`k7>EfI9u@OkT+IxzkqEFtHlJk*A`
zHYmIy0?osV)g8&YP>ZzHe%kjDVY>yh@)#m?c3(2eS<wR<-D{p6wF<EPl*jIv<o=v$
za^}AuGk`PU?(bW)6k*%ByRJe;6)MNg7`Czy&~<n{#c@LsOofKlb4!$=RhI8*k1qgm
zvL#qAR}sob`?;v56k*UV?9BQqz~hPJn$G)*@aVIiSICe&d}uO(rE?S*5XzogwonB0
zZv1WeXL8{GD0Hg!I|bC3?*#_-D8Osnw}i7MGVt@?nGQc*Lr5}cYZ)dfz?^yPQI~#6
zs3;!<Z7_t8k=Kqc?((qs!=oxSSOO;6%}yuV7{Ua#aH5sp{=9#+e8{j81+c5}nzuBB
zob}foID0wJJjZ$a+om9#$v11duWkqjFU+eyBgjJ4ee%-|Dn9VkmnT>;8iHx=^ft|m
zG{n&C=#&L=!Q(>x2E8T<#HbF@%4SPJ((J3Z_Qfm^mUi*te^C?&_x>OeZ7T^i*})5E
zUFjhW{i4gDOaYqItgplS-2d<8pDpTHD&P<_J{9)^;9fA=c`aTX1g3UXNsqS>`_bMZ
z%OHU9V%dmfkptk?&}X$bwu1DBy?kf7??-n>g7HybgrT>*IArPC0ur^dF80?20oM4O
zLA6vI@YfzPiF`bRSW$#VaH$5spSR^Ma#H|8u-=>u?MZ}xkJ02ut3JFFC7iT*#s>ze
z)3<-$8bgxV8bn;!^&y$gQM7-Y2R;N=z0xrmMIvaTo+Mi8K}}5X=`U8?Q08cUxl~~k
zQ5TmJ+TGU`o9Lx)6Z`w8ufCpEoMsGJ$h^V2J*Wd(h6s(F7CUrBC3(|68b{1>MvGo4
z>42KCO@00{3v9UAwbQguB1snY1H>q8&^TOmQfiF}oE1eLnnX_{&v#E#UG6;y$K0AS
zs&p7Zp^?m5o;-^@ZXPkapm7i^zuR#tf1rnIeTQ_3)p;cD_LC`=bS>yCI^pOPN(YI*
z4N986Eh3RY7UjepO(5S$W|8-!1<%jf4xg%*k^cbz0RR6Cmv=nXZxqMvy{^6Yxc0m@
z-(wXLnN5_RN~KMuh%z!tDIr3cMWrE0y7wT;D3KABY%)R$A%6GY^E$8ddY<Q;^ZC4=
zzgmNdjr)zkb%OUjEtv_-IhYGFsecF=Dkm#;QJ}2*OHy1vBPe??3G;kiB(9#aI>_iu
z0UMzMy~e(b@RQeKhYo3(;FBEKd%ng9*l^&)AR{AGeWjUM`L7a*D;L8wt&Bi$qjlk8
zGXsQWv7`mRTO;<mP5LmtHiXGH_Yc{<WPq*)=edDm2H@teHu?vKux7pddhRU)=<IWd
zj#_1esp>o}g+>EdimuDQyubjrwbc3`kQq*-Dm@DEHh`0dlY^J-7@<G4)9ls&3w(Na
zf{%4nAFct*?sH{~5X4{J2dCK}V%HYS(X;vxTkND<Y{~>qZ_*1i$s7<cs+wactPez!
z0Q<r3Ofb8Cof@~u3H9d_<w;NVK+y2H15*Jr{9WqttQhBpwyNXj9(d_NT*{?A|KeES
z&DL~3&vjn7YCd)#Vo4W-Cu+`95?FzoF*GMtP5?5F+-;Nc&;`n&j@KVb*<dvBwyJ~=
z2^O9<SN2utKy{1uQKMOQaPL<*=u{{Or_-I@-%!&5p^=-jBHK8j$Ay;f$S({h|BCO^
zFVqH2uD+Ro5iUqC6A5uh6M>M;(~V#Cv|(EeQMn<L2kQ8EpB%Ro1HBL3=5x(jux=16
zq8P>p&Dx)*7nmi0z2-TxpV5L22A$hBwgR9ksMs|6QxYzJcFI~e)&f4wz7tpcNszyB
z!-UGZG;}<_uF1}=1re;)Y~42np`;F6wiwGn*;mSX!Gb329uL`ZVN?j(-`UnQHOWIR
zzeOmnYQk%K(U>6*5itD4bElq95d>nEweHJn!J4#rl<8MdxW*vow!BXXcHJ`-lHR8U
z7EKp#CPs@xVMWL`YP&KF_KF^|Z_@&$pG85poFqZRM&tF9Evg_F9ek%^pEd+PkzIVL
zBMoNip}EO@YVhkJCr^N;4rH{Q`&ecm3sqtBKYpE2hrVrpR8A@DLc<zl6B_d1TMz$K
zq%`4SImTpZ>OsDqJ4ibzK!oFMy*{cI@I1FZ>^H0jw?2x$_X|;k`e&m~JiBz@+p7JK
z7OFn*xv6^A-d6&i|Jr^$AJ>I#?D4;zR2u-pWCLoCD#H~eqlnN4df+DE|4QJyArO#s
z{FaI;gzY_e^n{x}q`8m8eNdr*{`Z98)c`dxelJp0)~OH4s)qXBSB*isOI5%*gABBc
zM>aAh22jTJyvan|6ig>>915qZ1Dh<xzT%JpBnGZoj#Zg~-l0E<HSaYb)w04uG1vgI
z9-n<5f7AjZuN=yzz1D;ZcG8oR1_qG6>1`LImK9{Vm;6|c)q;&RVw>lx^g-}QouAXN
zHE{pPxalLS4fpEzk2kaELjkci8|?t#^Fmd-I8qy`e#AEC2<kyUL(e$DX#?MA=1(>j
zXhYoTnezsn+HiC3DXF8v2I|W<Naw_BgWPGIfzw)=aBbKb?mOB-PceJjIZbW2<?C3o
z#f}UE?a%tts%(MX(m~TXSqtI|z6j}3R3Og(-;f2D9aQt}U|T8Igs;vqR6AKk;EJ-*
zmN&5ja(C57YM}-M)HrM-)B7xYvaTl6)((bJ?;0irsY7{5<ky)q;xOmgB^Rq}2MoT3
zLNRP)a8Yz>2saXf?`PdC-!s|)`{7s4I}=pFT)W|(&oU28Um*^!ytW0VrRBw!%gRu(
z7}9<fSs?6HK_e~578X3mBWwOsg2yS@REO9VqVT)mKq{LpJU)9Z;6aN5TrlTx{M$D}
z*d%48oX@g><U%Lj6iaz9_|9Lax~rE658bkLM8gL1qZC5oPsqSEzn*%fQ^mAF@4(fB
z7XWJ)$y}w$lF%MRypEFZq4B)X^G~t^=zHV3f#?te26X|Y*4$y*_u9?>&D<d%=wzEu
z^F|SPKe(&@fyxApjU@lGfocs?PjgSsObSB$Y}}nQ8PhcGyk7&%gH}*m9s8!dMgT0$
zUq@oV42?01?0SaV3Usz#ds>mg3+IkB^W_iB&|3eU{gq&03C@R}zH?yUg7+C=<As4U
zw9guZiRTFmFy=NnCDzOaO(sTiUOGQ%U))?5tINzm9f$wOOfy4T%SC3-&?y>sF?Vaq
zyczT@vO8w&W`wMu$PZ8UPSCbX$1EmUnL)2;v-el)HR4CBd(|ezahku-{kMKsOkpsJ
zy(VYFGSSlUAw{uageDMcJybnt0#uJ0d#08J;-vkl4S9QqXycZF%R8-1Ao=R_>5<xb
zBA}{$Up@Z-jpI5;`@(Hwpw!O?m&?r&Je`|ebaKAY63aIzyD}O>TUyOwv9f8x{`m1@
zD&9S`_=4?q<bxF0NRGIA8-Eb~iLoYiE}b-A#dn)LyN$qnM^yKoJ)^{n;_;D%_%_<%
zZ%vuGjz(bT85({rYKUlU+%Hrj+(Oe+;L;kV``W1N6ZL$)0Yc>H_pJWxdRm1CEo8;m
z5O`Vz#JpC&5u4Z~rW9OgG}T3Zr@ChbP&02B*%;eP+)5zD`fMnt&8ZlBNE;b|_}h+L
z)q-x~Vyn4*u}T5$t>WMGA20MlifyX<ihU<>=Tl+E;=ce|M0%Kv0HF_o>45=Pd_EB|
zq^OjQiFb(IQd3t?HR{2>K0US{&20n^d(CW7?qkBUQJa-@s~&VPefHm*@sSvONd4A&
zy^`3T*K*aVRTqZS9~Ef+*Gg129gd+&BjNpe-ZyGN2d;blc(7CE1JV1re3-Snj!+1W
zTa8iD0m*<q;|E*b6JpPHd{BvfON_BU%+~eMhIc9LN4V!&h?UMlrZ<MoM1<7y<?Zx6
zS9f{5O8wnJcyM`hddz$v;Lu(3@6DQUee?TYs$TC2H4(!pfq*uG_Nc8ti%%15s%0DF
zIX@7j6W8Vl|4)P#%c<JKJ{n+qj9qk4pp`HW8LSEl?IfbLrx}g%)giRr-E+Y3BXP^^
zhx3<`ZX)J>B7f^|GED0Kc$dc3MqK;DdqRw@mr%&KSth@U41xT4$B?0&80%=v>c8@p
zNI8_l%2T8UIVr)F`bwXO6RWF}9!}qhVapqZp{!~!;9Taj>u3j&Ec&BoRc?S7@3$|t
zJD>_{3rX`XW1YmF3y!7p)q_OHcHbV~HWerz`W{|#rJHb_3kVpC941O;WNRK;sX*Zh
zCvWB69^%NBMgOaZM~Q%gMZaYqDT8hykJt8-Ux-m#-xU6&ae`UvyF;#`GVC^YKP&O-
z8xbSOYsS$xLG(-w3d?0Fft}<(D@lcZA~F9LLviplaUe?dNs5>fc+cLr;C^X<a7rfA
zzRJ!Lz6*ESrqdOnGJos-RG}ean+*Bh?gw*3siu&+j<h1&?z{K(Y2z@l-XO=w`rkYu
zKUFX7QJ?_I@_Da+KO7}~e%l(nd*dHM;&gnWpPm9-{Ai-6Qa?^4kF9!N@>?XHSw#l=
zqddIn4J79ZPZC#+H~*1%^p|*T8NRsROCESq_PgxLn<kD%n*@1Ut`e4&r;Igw<e>9R
zfbK=}S>g$njz|cs6W>3G?@$z!120qY>+6kk#K!rizn8=r;oMxRt&*24G^%*F*G110
zXYc1)eEP%$U+(FVsJSwbEcYvAckmzLnsrQRI+caa3F&bU{z!xCbbaS&{30>xSTD8o
zjSbS@-y?nTkp{;Z(#o&Czl2g2)h*M66P^_%_n&+t1qtFW^<Rdp60#L%EXvxrVV;e{
ze~OTT>YP<0LHBi{s-U>+?^8bTzBia7(kuzy^P!V<R*Vqf(5ZW1P5?~B+|2cYB%ztd
z$6s%a3EJAf_1`EL1eU*U?ktj$U@2f^=KYfeF2v=0u_zXXo8S1|*M=lup)}k;UWgs?
zLxzO=--|-_%z0DyCJ88FsFxi(&IzS$U-#*2OMsx$Ax61&2_W5kc6_e@4@``@gs(J8
z!K=g#4~iKjA=CEtx$@t9kb6k-B;$Qqc*6NpIC8fn<g_S}as)}hZqc_GI3^DzZ+b);
z7bRitOG1iEhamWi;GL3OMesFqJa)ES3XG1?lB#NjAvU-)_RD$tTqX?LWc`zdM+&nQ
zDg&b6FfTn`AFB#g=g-*3#>>Jv<pgS?fdmAa-{Dp$C&T93gnpu}JkVIT9ys(;iteww
zQpGqlVezcnrEk#+u=($r@P*T|;Kgy|ZFz(?gs;$&p9(3#2Z5u5r4{m^sNrWU$*u=_
zm(|B&*OVdRRb{}Kiz2uu<%nl*rE^qYS^PnFHQ2F{YnHmI1b;U9|699f06EQ}QH~NC
zz;V}Tk)cinxK%Z(?B)!C)cRo0vpw2S^CWxecBUE}O=OU|u0(+}M$bQaxAZ`&fSO<z
zt`2Wc$-L0iGlsPD4^wFG3_z92v?A)K2_Ax4dm33x!0Go0zl<dXj`j|ETr|{%lUsdv
z#9c9gwX&_7qo+(@vS;F=`!rn_yM?C1Doo&R-?7ePE#?q#A<13HN)Oh(WJMT{n1JX?
z7w5&dRxsH_j(9wz2e|f1C$88Sglni1fqMX)<2N6(+@lXdPUq4*{V3pEHE(RvY6Bno
zAHLc7P#>zY_PRBs8-l%kg^jDU9k|4GmB!c5Ir2KGNi9$x;_fTHq?+18LbFK!*e!k7
zJ^J6kwpZGa{8+xNQp^GDJe-F=Q}kibM1@<1u7m28?sbk&9KcnQr9m!34??I9OY>=p
zAbgtCwvl-QwBAk8Hou|^Z(@(JmsLr^<E<r=cBBn3{3gnB;|*<?<ujRys1g979D~y*
zha7+}*i28sM-y6%j~a;BtP>8c8iBmA4nRG#!|C1x8RRL<Ar^9l#9gH`)nQBykjK4T
zrm|NRSWj7g|5CI>D=XwLr|q`~EzZE&g>EI_Z|s<-9$`aS-mZheG&^YjFtzQuhXSa@
z1*(xu`LL_vU*<Z=4ssK0ydTubK$qPkp`JAo3RurEH0`y8HU8dXn`9)w=;A~~2A41@
zrzUqv&}=|pV$`08CJYCU&IoTjAc9Vz<8mqTHt_qQFiXK>0pMDh<qfhC#qraXmI+A!
z9?^c0rjwk|TJxo|pj;H2taQANGXOkSovb`4%?zZ2+%E#Yi=sk|wY%k-HF)lLl+e}x
zm*~+}otXJ7iW|-zyez<H4Jn3(9N)vI2@cQmg-rB1rWq}{zjUm?L+GH1-h4ZuW~=>j
zN2DmW6m4Pl@u%}xPsx_(nU6G?&b)m=8$^+_Oj5Wa+X6nk+~3omFitZZ@^cv{iK4aB
zv7m?J<`5poam)D3JZ&~jU^;kQ1pC$<-!Ky9uq%}<%zWlAZI1>+`lk;fnA<F$dN0=u
z#$t~>D5+hiU8xJ%T=-4|RX82rH*lJP=Y?5uhFB(K)o>`=`&k56$9ha3g`2|L9p4i2
zrdd$-a@eN!b$b1(?Xf+JCh+ukF!MPTcC_}<{U{8gcu#_NZS1TGOoxw5u248}@qUQS
z#4S+_zIN)!Emjkl)A)Gyy&5;Bxf~I!;T6ML=kw>9(v4vcRluc#i5FFQg^F6U#PHMl
znH$ITjUi6#>yr5gKBPSVc|_S>9A&?33%}h?fvsD&7h5|D;Cg-Q-N$SaIC|Uu^pSHE
zaNLN@Rca)3n%-#aIwXNUMY3bES`-L<`Hx?ZLlCo?im|3g5_!Xl_bd$?!Pn295|<|h
z@!;{4#L6F1*kr=Pzpcm!%HLJJ((4pLQR-d2IzbsMG`w#5@EAQ`DXplaUKrK3z5ngv
zC5wEq%|mDGjbKB@)deP+2woX>8NK>Y4v#y$@!YIv1Q#CNJegiAiq4)U|7w%v@km6f
z{d+DWP)c0?dZ|qe<%e!$9dcK|nTX=Dk~Kr9+Uw2zY)Txx_S{Vwlu^WtWUl@KdYo@0
z)BdTjB+4AB|G_!0h@ZB;N{i*DpQj#PwL3|n0p)$lnN}sNY|>tmRy6{DqZS+9%hGr}
zGxpr!C(1at{l=n&n-MG}iTbSe%AiSz?@(=;3O;^2HUHp}5wLB$@a`i;4!sqta|Xjz
zQTITQjmAeK=;Ao{B5$)i@+EX+SMOFs_WdCTJ=7_nzWm<4kwpP_&8tb*Sd&rXm6A~A
z4SJj<_PZWU0iU)cZRi(N$EONInHK!UaKzm7=bm$ln8s|pHRZE9rbmwUDbu+<F?Vh>
z)kFz(O0QWCC2FAU&QD*4%uL{d1fR{5IVH@T*<O*Mtcjt6MLTbdnSjh+wPv?sWpq|I
z^>V+XiNj6_UXA&t@Y%K0tHxUeJsM&^(Uvsv?2l^RgkUo;X}=OFxvYZBpR)f<k+tZ3
z6FY7}-wVG>R9A--Rphmr6pPW)Lh}|H^J8%fD64h2EiSHxp2>Oj$_!fAP}}yB{Ko<m
zy#MfrCaK}HV`b>myPEiWZc6sVM@z^(y?B1#xEgjpWs%Gj(8P~#ETuV$tRUsd-GPl-
zWZa)7eTl_Y1MLbv3T!xT4eaS30>`|_^uENLn%<?3_a9L8a<vJVyc~V6csCi-B_zla
zwqz`s36AdVB4A9+S~km-jO3DoTSl4Hu<^F3KYctQQOKh<O_q#J?l&&4-B-a(vj<Bo
z#{qV_s>qqQsUd@%u<n$lGNy1o?TE<*=saC|eR97VI=>TG$gNkzOL+nlw`l+q`|h$e
z4y)o7yEM0X7X>`+Tog*Q0k~<tiA;7@#jPzf`THy6Fi||)sI3E__S4~!klQNw&Fr#V
z?2I&uee&HZ(F{OzePib7Q^wIUiJ9B(lBn9N9jWykAgDHBO;AV~zi;iiwS80!e`xjv
zdZz*;z3tKWAe3;o%g+4lauGBx{8{kt06@X**p)N;6fr9@O!Y1bA=z<XMTQB$3-QZp
zjF%N~-}lE<3XdRu_TcJL{zt&3FXl_)&*br?U-~wsbOC&{H`pyYiU4`}ZG7a{a#$7@
z?W9QK!>UBaPt+A_5N1E^TCX6Bp%T6Q-{0_{&H>S*%=EtWIdO2yW=P{Jrcv4}6K;I5
zX!XL7{*T^-uZ7MlNg?wi;U}wnTo@~tW;(IO3Zni##*+;aIGs?{7H7kW?_*UDo~K&E
zM2Ejg|3z_h>EE{K*1&-e9tKglwJd>SX?%fe2VL)SEO}m}a^UCiXVqbu77%oSndgOz
zC>B%8qiPB`@Z*iTEiqgc5c2!^9n+m6I62<^&US_alb)TesS7uU#49<|39-UxTtgQ9
zb(j-Nx{fbBn=^y&kIsDcYZk&|+!V(XQe5~!?axfr0W&CCGMg~g5<-I~+SzXNT-bW4
z+)`)66r2q2a2_re#F3v;G7EFus4gG!dTXF5M2%4oJ6H<huKR(i`NF(7;(qp07=7;;
z>j?P!gM?Y14lH<X=fi|uiCS%Rt{MBPw*$*aD7xZ%`6-njWlj6eWG)-S;aWb$p35X`
zy!>>EAx{7|#%yaKB^kpuh1wU%QFNa!9hi&>A>sBy>-A81V@S3h&ag@(VNrF}6ysJw
zG|pq$&-ID|9VaJ7eD0Gl@n&F3os$sq1*ckw@1%fOEj2jc8wqy^h4z|n7DoFRN2^%|
z3V4h~q_3;c&#&)v@%J7P9Hrb-n|fdbt(&B_j$9PP+nSQnSK~!-U9d_1n7<KtYR^gx
z%+vEjIw~I5h#@6pNq$P)2qHxJx;oAX;lakkl`FgwXv&r4_N~Vd`v3c=T22zi==Qj5
zrX!LV-EF_QHO~;Tp7(`BQHAkb;*72NpcHnmcJA^GF$BqnBVzWEBG{iTvTNd?3{LLL
z_c3%c1h-c*J9xZAagLp_T8cvs8^|7xd`5;Kexj8av=l?(YDa<EUGk{H@?U1Pk|FG=
zmY%CI6GwuqoM%EPU{juRf{dIY{N8*d|C+M|zDZ)c+ODC9f?2uG<kSoS-?|M69F@cy
z2ZAe#WR;M~YWX<T(h%PB{w8-8Ng=}?%kx1J$~a|9z4LFkA>^z`KGU0%#@2CG+Aawd
zlyK%cJCte&rTZ3Ws+(o;8q?u2M`=~8S+tQjMt_Ij=o`50r5yH;$o2)usbNyivcq*<
zBe*z{S-o^i9<$nhKHDHi#^Q|^j3qLRz_i`D%-L4~kKC0Ao)S~Xg!~-&d?5<_yPxH)
zs-lRIM}H0$v(R-iomLi~M}b6%*LSLB6j9-t!lGWk29jf~y6f$YVOqA+>r0gq@_4iS
zS6QHmb!rSt{eS5k?fvuATC_5H{8E3z?V^PSA2@!tp$VklIcjF@sDhL&DLqZCS}6Q9
zcH?BaDKIYS-QUfkiWF<hvPbIL_<TE0(z|do5RnTu9W7VIWP^kQ1D@J=^zy-R`(ShM
z=+u~y^HIa-l!od6CvBXbfAB6MzyjJ@c%3#6t0B(%OP*lU#v4%*#PAMFAgPRBsM$%z
zRWiQ(9j}F_l>W2ur|U-Q4&OE2mt>5*v6R&OQ4?c0*5l7xSwp-OdzbECGM;;@n#n`I
zudI5OQ?)b!-JE$z)e`D>&1L5|;aBPy8&2kXH%>sB?+6nYJ+6FH==`A|GREj?z(H4l
zZ0U^j%?o5y6)!dmomIu@e1`m^nE<BKqg{`lkTE%-B;?;Ny6>M)3;xpuP?g7%u*rpt
z@#fzBcPf?ek*-QBiP;A5^}rUbcWU@y(oIo=PZ70W@oS!vwE>=I(!&~LHB2#ml=*AF
zJSKizuMbkUfp#0UlPyP8QPC>wZCQ>C3Lmgbe5Pyz+i$1+6UtY?8xtpI3o;~;^FZ&T
zM3N0G5Bm3QX;8+BqnEb?HHo3vBk}$ta{&5xtQ)7lDIqyUm{rzF1osD?N#tt)nCt!3
zWA{@LQ~2&(idqmv)40Ul>L~ylh5P>tSy8|pBmDC^e+BULviFuVUH}q7mXez|6;S`1
zGKXy<ANrb?NMw-!c=GyX)TQWt;l=cC*JEzvIHi#)mP){VeK%rmzbqDndZrrraw4s+
zVuvoB=gH63T(&%r#;bpRF=$?5$E|~ZvS0pZ4YuWqp4-@^F!SeX%3dWlOiWvxy4hd_
zZGXjuxWgqdJw$+VS(O#{6jt!LlC407rTb4Bk2oIoS9s?i%Yyql+%n}7ErEHYLFZ_d
zC{`BNdZ|-ba6G%bhi%#dI?lN>?TZsZM`@^G(_+C9olEVF?iNrx*d6xvm@r0$1l*I{
z!-D)3rB9h&nnQ~D0&y}-2xa;!tP5LM(6cN{S6#^*jFY?H{LU4`F4x{B?jTnDPNf!R
zUNZwu(XX<%hDa!=&J+Dfn+<~_YG&^+nt|z;CclezB&@#H_Th#EJ1+TllFpnmh0uKz
zn@XwxW~7#h4XJTpgwK(89y2Cz<wU--v6ldDS`@zyKAc!k`_<7e*aY~SnL`$t1hBj7
zH*GbK3vVa<v#g&s2JhY=<MkW-xT^bLP=S{R&6>hYpPn=Z+p`11^;`In<MI~;-&9^a
zbRw|ceT@QTA%DHo&H0g}r`JAi%8w31H_07WD8Ssas=n&RkCEJO7^))#u=GXA;t@p(
z*jE;|S6t;st}>3Slp`cOJQH}+ui6OembP~_Eb(Lbe`2K4qk^bHi7pu1X#@(dMcFA1
z0(dbj^-tdgA#^`E8NQ9t2o}v}x%ue6b&G#<jZ~2^UJg(!<$7ocW4lSDCP8}LWsYjU
zZzA~6)$V+tzacE-{=B|BorJ}5YK|pjF^pe$UC=9T2>az9I}GXyVv1^r)=IoMD)PSm
zG}mJQKQ)wZgnkvoOJvu>mg^E|zG?I*<Qsrh_9<PDY#}VVZ(?P3Sqd#n>eY^g8o<J`
zYtgF{!nnNYZro)(8N6F<A4IqtfW7$h%H>@mxUc<N@|7uBOc^dsxM*SkzN{lVy?2S?
z>xGFd>D}@uN?g38tZo3GI(rpakBgzjY|*PEZw0LPWMo%UGXSX<tUa1p;^^NU=Evuw
zh|f)%{q7nVfTZM<NJFm#UdxQmuG_7IB25JZ)rFp4(Q_+HR|+$ny!Cd4DB}+e_rw>c
z4B$WYZg1^d(kQW)=^^V?6;!f{YH59904ZyQ@^?jLasOUnlJ_H3%n{9Lb6ht7VN2~z
zrA2ZWe59aFzf}#>63;*Jq5F}oJF($azC6Z>Mmf|?lko&Ovy-pO5R7d~uQ;4jKpwp_
zV*#uhcwo!VG><(-Fqc~;zjK=+0-H`=8lA&`Sk?qSXQIH$;BEP3Qzbkr$gn8NsfE4+
z@&kTV6etm9jx3W@MlaU@%E*`&8eRJ=FmcHk?#0Vft}iR&@yPJe&_Zo2`g|$Z?w|<>
z%L$9wcdB4xlG(doW;!^wFU%^@-xM^8(n-rjstD9y^Eb0~@RJQq{!bv?M>Lnit{hUs
z`}MkW(v3P;8=x6cf65$oE(zzS)46?5Q+bkWg$@Qe&vH9nvw+{dYoZyi$arIR{ZYbh
z9V~izPjj-=5(c-k7b#n-<JF{pJZ|;cs68ZoKDf>b{`zg?P{>oqb*W~a@?kC1{(MtK
z_M<hNis*4(9#Y39j+MLzHJUii;-dh~1pE&G0RR6Cmxnvme-y`M@4fe)7x&uxo_ozu
zRz;Lj3aO0zkVu(@3Q3Ysh_q;+`8`QirBY@Rl|nXIk)MCyJfG)$&hvh~U(o^k=LZ-x
zaaZ>)n)Dt`?8wQY=z9Xt<mF{n<~7jCNXxmjO&w+WxT2>X0c;qo&OG-@18vh?pX&;$
zVZ~Ztdj=N`hy}3}{zDoVn(d}&XR3n9TN6JYa-_jmN#pk_lj`V}v+Qf?ri7iVwu{gH
zqrp#yL(b<nt0P0Y-z)n71<WY^dHe7g8m#^utPnh>hOtE->Mrrgp-*X4n?^Pb&YXDB
zA@fib6E}~{>l~9p&zl$X4U%c#$i1Pn>Xix#v|ceERusp^G{xH+18I<Rz)6s!Q5pMQ
zYw&*)62W^nxHLj6Y49&b^i#kSC7j*aqIqwdAR0e;ZQ904gVO0_zrIREG_;%UJoJ?h
zvjd;KKGz5kI?GZnen|mCzNH2_6I{r-9Myxz0VGJ>FWu7QQFQmKi}4QZC@XKSMx_8a
zQwlo0nB_1xXF*>ioCOD&g+zA{RJhQ+%pAxjgZpN9Lxjjo=&>h4?uRH9yk<0F9x6)V
zTT`XPM-dxvPQbr*Z?F}Z@=5OB;4OjIZ!Q&|rZAvcx5<Hr&n;n9r}_QbT``P29@t8*
z`bWe@qT6OcOYqU`7>HCA#p-uSt{We&64@L->^22hz#!`|efM)=91-YjS@BvWtkB&o
z?YTL)@6NF0iWb7tYqt)hC9M*9Q9N0t;^v?|U-r$?LlCv=Y&>|C{}HxX6$5;cW^f{x
zl;GhafPU2%6*E=Wi2k*LM%gY?I7?A|;uXw~DeY`Ji&hNi`?8>m%fb{gwk#dAcjiOq
zoyY#};@f~7l?UH2l$pTx#5A+^6&}1z3;&OWff0pA4b-FsP2e!!gYB1xxUs^GMg1%f
z69$!;=lqvw42LYvY#m|Z#-2WzeZ_{%xXI7UL1D=VURBj|h;8M<Z1!r?SCK5(TmIpa
z-Vr0<JBmNbIyupB@RX|adsh4ru!H^iv?1vCns+;;aAI%uXKf0d9l6Im2YMq6p<O=r
z%BmkH9^Y&d#`2Z}pSo#XDP1vua$D=4e*!p>-2TC*H;fB82!Az;(*{uJqOkTTmlGLk
z3{-XXc<^+x6ibVw0i1oK?=3yfi54-EI|umq@cVO#voY2BkhOSqr{w`IB(6M*%}C)#
zj#+og=}r1jXV>u}jfWdsf5w4gt^n3H&vqD3>Va2y!u@BR+&EJm-po)Zh$pOyc6H?H
zfkl{4PuD9REU-VupEfRpE|15(pWEm`m6xD{+-F|Ym`V56G7-W3qvfA`mniUNjq!E{
z7e6+aX|`>-B#M%b8a@UODd0CEszQIpj|vo);t)Y`bO;Dhc^^#y!=RemYKa0^v!ZU$
zUMhi1zty+(*ifKQM!u+dry%Cb&0VQ>lR~W&QAa*W3S6!ZQG32g2+4Au?R=6l$SZlP
z%V~)WzgB*VR(J^G1Hqw=vVXE@C~|ar@^>=4WNYJ94i&+7U8LL}@$xtr)9(DfhYWog
zf1cHstluq{?pWDb1w7rdV!Hba87^(!-L^a-h6lP#Nm@4*@eh}8Lh2+L{=5)Tk#Lv5
zDvcjyS3a%h$!o`)hXNGH3~HCuc`J#We#Z`6<50o;?c?9WZ7I-D6}Nw3mo(N!poNu#
zDtcbh9NwNmf%7jCavM2hF}>IzzxIq8T81uJat~8rD0fQFzeNt!yH@u`cdFxqO$^LR
z-g+=*v3)J7O&(u3=%-K1XrhW)Ws1ZPJ*be~S@9JWP)44ClH{v}zkWHLq@?OYhm7F`
zna7H#NBQqlL>37h_0q4n+8BV$;bi(itrC{+*0i6vqm3S--%fW)8A98(XnE^eWqdS4
z%t_wSL7Z~uh~O~-doJFz#s@0+{p^^oPqHqG4{mxnC1wmR*9u%*ZmD8?i?57}2pPNo
zNZYZQn!xZhaglsU4L|RDn?1FWjD4TF1I!MYLba0a9eSiXMh(bujrfr9lk1C%c-IWr
ztBP*0TWO%~&xhO&_GA>9T`*5sHiyf-(kVlu8t5ss^w*q&jQyVsU0v)fp|fx_a95Nj
zzB|Ls^$T>dxAx?%l{70*S6&D@)USzFFGt>VN$Q~Xip}}C_1qJgYG`kf(!#f1#;WFJ
zB)n4H^T*@xI$u=WT7jg6HwGN1=7%-$NP|fF`7wa#0sA8}JX%=O@s;)Xj5?~-w<>yj
z(tu*F!*&8S@$ZCG1M3G>%#u%eAa{!f!xttl%Ghe+PM!qq$P3DN`d84(ju9HTX)b3b
z7iyrRU*@oqn<8$wSyptJmkv4azNx)?ua3xfF7m3dJa&sl+XhS1p*qUs4QWsfgJ{*{
z?O&u&TkF}Vl`tK&--n&d?@+}9zOn~Cb&8>|vXrgqA`NODN$g2p|CbLtNc>Z3!Z>a|
z+%eTk1CMke>;ICJ(V0V`xx9}bUz&<)7@VU)d7()M;iQE17rt1N=D9GS!iuNEo(A%)
zHa3p@iddM`Q4qn-hTTys-0=$lXDW`o@ad9A!4KQoCr23Z*L3lx{9*t$@)lrplEX~b
zur1f5*9h5DhHO^003Jm{!)q(jNbxzDozS{OT%9J!PHj{$(h4QrZk0r@-mBA2b$^Jh
zLp-XXd{hWC)tyVP6US>eUgl^JGX%4L4_(sL3XVs)-EL?R#hIr=l09`(1b4Ie@?@4J
zJer<-;ldz-z3y8shcHeOk@3a-DxDT!8mQT(xKjwvh&#w8O^g##?n9IdG8UlNa!1>D
zKma|Dh9}bhjuQ&FJ@9>?IrwC~i;X_bk3UQQeQNqMLGXk{e=?{ugBwdVEN}1d;zUyY
z&FJk@1iN9a=@OS21eJ7q#AR_~_rs2m6RFe0gYfVBO#MwEMXzhy-C9n3A(eJFb$*6$
zsMS$kLld~uwRf~Zh6AI%3DxOco+D}uZ_PO<ngBiQ4*wd#hI=$?LWT~`6Twg97I;q?
zgWMtekm7t+TnkO{Ke%s^SUFh~YBys92lkJ~vRATTLP6fw$`i{(g#8Y?AG?h}u*k)?
zd6XGB7T0uLpRN#zF8AyDKN^B=(#7C=+nKRXt=Qp$*c#Ed`F*~QlOb5k<Twn?GNIm2
z&ZLtq4EXxq7sL0B2C%if#Q$Rr6OO&RbX;DX5gBM#{=T#`0CR7pLi=JSd=q<CU_P1&
zH6wQ@@x9iEBI%Bs0e6^ivw-Zu$K%Y{#U5n))I%S#`7Jvhd}YFskezuaqgnC0Hi@}!
zKo5L7>kn}0Gh^Y)Z=O|B>=-hd)0P~r2VG^Qo>$A6k*RF6-fRyCaz|*q>Sou2oY>2P
z%$6+3Mzhv2uHizhrW-9QB@{SV<t!^Y%Yw(WQm&WW=Rp|WiAw8Sc*@RX!rjV>D{-wQ
zIURiH;ro~)eS{1z9IR*u>e=w(ceC_XJ^`HVePkAwLk2efnf|ptcC4dclfLCBh!Yoo
zN^G$uL-Jwc+8>gfxZ%X!>t0uc(3|Jdn?H-XK%`15MZ|Go@ks8@1`ZJ%%QfpBjL-$+
z&L|NFRv!GT7WL|9mMEUlJpVp#O$WB*qzvfQ@}huA;%JqzIBHrR2tAgs11G{+A4+ZH
z$J_<n!LTZUf2VTtRP1%2KvTMya2CMSSG=reze`~cMqc=jO$WrTT2EaM5X6J0o_2MO
z$)L0;J?Z=xZP<KmOlL7)2)XjEiZJrXqxo2L*y3w#nC=ZW`t(Z}^Hvkz_8ThTgUa^Y
zhz@N?j@{ko;3A4u?@BnB!W1$7h{0$5Rc)}aidBGiG0gG_{k!%|3H|KP`4M(HkjHk~
zDmY96!>!h6ol+_o|Mg|s@<SasDdjn$t}TT(1AVT&JEe+c8_#Z)aM6W5WHamiEHWs$
z@xcQRMs@6J;CN}rMTX3ZV)2+ISv;LZYpqMt!2Q4a>yMlwL;Nsdxtb`CV^?X3LR?yS
zZXn@}hXMuKS?2HBT~xrvkGC{A&XG{^+ymx+T@>({`1zyvfg;lBr>85~b#Sbo_Qc?h
z9-O~8qUqYJggo7~2lgD+#q22ORqZl;VBEd>=qR%aiX1ANi1jAphF)Eo+cN`*6ggVE
zMOPIMXPkBT`HPIUD(SOhe+(h}b~)d_t!nFia<2G-7X>T#FeHsQ8^aSR(}suP>PWup
zq!nLA!Dat@V+qeqK<vfS#JS@d_-2xN{ZkVKT|Jxs3EP^%hT<y?7msLS0cVv_&Lavw
zMPD|K9&<S1xc`^xMlF1q9=4znNx^rrdv?r*TEaQ4kx}xZ7WSGqNeTWX<6nQZw%;45
z5Y%{0>-kX<%3MDqxz~Y=xlubs1pz=|53}goCK8rip3K--uY>hWosPYe0LF!FC2ziv
z@Js#qV~=u4XwI*p(vU`jzG*&nmPaH^h*=U#k<-N0?GKNsaMPjS;Ii+47YRiSo_kt{
zt0Bp}r6Dhr4xVe$+gS)L>~aX`8oI8GDf;~{tZL}+(KuYwdQuY~`!9E6hXU#hzZU)2
zM~Az`tlyj`HSlo3VO|X_Su}E6bIl&2!!P>&U9OGlcq!9v?bob0uGw+EU2La=?t!ex
z$XGROH<dWPUs)L2XuUpx6?C}PLuBlbRK=Iasa$m>d^p~_o$XZ+9q8{|qH`;haYdrL
z<q$tRj)*w*iAmAn%Hut)*1Af#%d4fwIClfyC@tJY$8|63uUdNkPyyvaFYw&ixk!XX
z2C_Hrpn>g*$F@MaJUTfJc@L;f5~g#;Hg{&%{b=H&xadO}G%8p0ccBjwuch^5LQ?^J
z9~9eEF-u{dXN73c@mAu3mh3wQNr2UfoO3^pieof;qRbc05^BW7>H}5VsUY?C)jm!M
zQ4}dvz1<tpN;UOb;pa%Og1Qv@n@vB2@Sco9yp;4Os;7v>n`3t@fq$F1p+~;}{#w0y
z(CK9tmHcfkeCDeKBv%_1*0S)U|8d_#m7U#GFQ#z48Bq&x-lnFk@_-vJWIJ7YKh#Cl
zWlH~E>tPNJrU!Qw+~>e^hweP=4(gzqkdM}E&NYMc+?waFv#{Z6&Uolx;|FSjoI~E#
zep5)QnQ;g#W5%rIe}ZxatyDG^4vteKQ^;03+f;Oh5$lZax15Pbs+fPQ@w<2vP;Cp|
z)?def-#SW|?L)3p<5CanLANpNE)}djVEvC^ru<B@;4ddcYfVN<42@x*oL)zD@?T;g
zZgW~+&<mnI#xM8PMI)%2-TE|KXNfRd9BnQqza`3#zUGVgX9y==*sW?BED)*8O^^Cc
zd?MUU$GsDR41o<7DLiNY5G-zxw-DG%T+{g6+SF|TPuy3J^BK$$+O^Ar18M`r*In~H
za?S>z-5;AaBRflol<PF|NPj2VcV8L|dZ`aHeshoL4l_h(xv%G(&`)B~@Lc05D}C6O
zt7f^ia+=8eEAse>&<K%q>0QO1XL@kstC|KKrinJ4g%3&cV+31_anS%(54I;?t?Xl&
zCWfmsw_Cy_!JMg_H1Uc8M02-d<-!z^<eZ6w#WcY-d#oeIg#xyz37y@7(}Z#G3(4mr
zGejY}+=%QWgJkmdDx<B_gg~;O;X>scaW4yNI}Vaz!QD1S{n<3ZTgktYmNZZBNtMK$
zWgx>ux@YIrjWfidTTg=fVipMshBg`K>ca4GPLk~M455%C-=34bO!(R5Z5`XI1FH3Q
zxAWU(iHrj+);Hd-5LO{4gKdhmLAZnUbXL<Gq2FBF=V!L=%YWL;>;_4|(L>udKlFz%
zi;Om{9%Vp>yuW44nk2wm`|9+y76=Qw0KHxhMl7+2>%4MQ3yP)p8fjiyBpjvfa)&=N
zp(&rgrsaE0*nI1dAz5#kFl`CDy)A_W8&94%C8MJW9_YrfUfGGo0+&~V+t@JatfY3v
zc@6OD{P0+OdX>28cxul%Hx6u!Ol2Np(14%~VQCxq7%<T3zfaXMTv*<==hmZ0b<lXa
zgT_JMfM4y;)&B0}!Q!t^j5GhJ!S3Vv9n3k5SUSi$oM*W1m-ogybdIaR=n)n7JT_)z
zh`D06uTTJ=1XLf77f=I%xT;4ti&#+4P48u?x)6T3Rn}Bkr3&J%0cV1Du_48n+HBn=
zj6n(PY(qO#VZv=*!NHLO@5aqiHr^J+)CaWhQ(~&{?YEuE>|QQ>ck{r(*4yHEIAGrY
z{&y9Km*76-UB!d@T)Dz~K1<@`O+{zp>Q#UtHDmCd1V6soZKxM)CWB_G#16h%6{t1i
z5@tCnfUEr8at3eY&|h5gYk7kT+&vxUw6q|I9XKKPbfW^c>gu$KOsYUk?zr8@JYn2b
z8PYS<tccmQ+s`$bsY2#L8(;BGQM}7Ys0{2?M*pCm<?dUmkPybZVC*1{vxj<vt=983
zQ;Os(?W6`?4=78L-je87&zgQ^R1J9_$w^5`tAj1Oa5p_i8cn-*Zr<9ifh*<Czu46@
zAfaG!%gDSeHXIRoCjC|m-!sW6lpN6n1O1Iv#VC&p8w-0%K565ie2w%R$NF8VCdX%q
zE8@4GX3gpY>s-EZSzvm4y>E<{7i>MLgm1r8UgVe|WBD{oT7(1{9153KMi!J&^=3=t
z$6*Sx8aU?r22r3=khzp4S{0+_I?Rr|*2DVp4BwDZJ=o_J`)Bm808c=$zZy!1_f7bn
z)5jE-#EFao17Mq}^|p`IK+-+uhlA<{c;WZNuzZ{mSk&FNAx&vwgLnMRi|Gbv@}uDD
zkrWdU%}!g;-bBLZQr#v|Hw};zvo2|^duVu@U-SJ`Z5)j`;kguNfCpmbB_u{IV0P)a
z&&l&TIOEYuOa7~mIm3pLQL0oJwk~vu_SZ$y=)22Z^7?3^nUU*P0q|<>3UA7!F8VDq
z?^2keV9TPkqe$htKl-+i+t)q$=i{CE*<s}MUKe`7;w&8w{FCzZU-#QRdajAu`?c|>
z*Ud~xXKPrpcWl0NO&2>iNAvDItAVo5Z${aEv4-8FMqI6ZI%xH|=9P7d3O2ru`Qd71
z10Ip2LB=L++<&Op$>!)f554{DIYMlpj>aMEe}IIilPiYXWu?&NSMzR@a2x2nRyuyW
zT@&4w6Bsf-3ZdCIFITorHV~FQtZvSuft)=jX6~HiMDj%ibv0HScy;nx<*b?-vR>0M
z6yyCzG-Y@#Pn22%J4cz14_O73$5PpJ42OuaroXkhWNTp7xmxo{PYDlB3978-c2H-F
zE~H++O9!X@8>AG>6i~NWx~PscLtWBn-g8xr4zcb%FU$&M@iHwd5BXN8+AMNiKMH7Y
zWLwd|o@q(k+kWw;?xPLRJ@5IrN{|Mb8;e(7M~PuL?VNr8PG;Z(tx5az_5BMTj!`uc
z#?Fqdv!!aR&{!Wql3@oZuvTO+GZH}S_%41a8#d_4yWzwvOa-RG;g+{QxiL(2@6@T!
zY!GoNN#eSq6|C-%UUukb!-nlUA1Cs&!;!Z+bw(DJz_!=ae`GTgI+$!a%frA9n&;V9
z_U*O+nx6%S^1gpWFOTRArg}Cg3A;kCIBO0sQaCpHGA$5Q)Pno>gV;cYv?*h2qZwQk
zx}BX6Fhy8Yk#-(uWrNcD`$C?xnnCBP&an2{4<fBEeOpxN`une#Z#Q)@g)O2I5%i%?
z1YeZe>m_GaP`?#qs##<Li*t>wyWNY4#2z6zZ8lbDNl$fSoi~R3Eo_UW)o-aM_0@`^
zyICO1SNHf<4`Uc8R&uam>!*GY4vzoXzyhhA@8+s&jKF={lTP!2A!@9sQ$W-^7HD!v
zRd13r0@=yztRcBEs<2ywZs0Nt(EEH`T+bSUZ$!;0>B%YT{@A10!S<{`%l+6X%4i53
zN%=B<`Loo)+uAWbwX7g}y=rkP#sF@|DypQ*%u_iTrcQP^vw`dTPwBX*4-Pp7e`69C
zsh1l*F&$=OhtnlBa^c7Hp^}d)%Di)#8f^M}_`xtc1VkSRTw&CQV~pwF#N}401^UV6
zAE!AWoWFZz*Ev0KV7SNiX#W~D{yggzab+$zTyc6|xx608<h*RU)XM<pL-x~IPI5!L
z^XRc(H5BNqy4)qq!3f@IJquendEvd!3o&q~Kp@Q|`!Jme_6|Rd-%!s7FDFa6zRZw8
z@k!VV#WZFhaqKct>fi@1bz0a$9vKLxxWTONED&U0;PC#N07Tjq*>~BHLCbi&mBXD4
z%wAbp?&A`I2Z4v*RF3OH@njnB+irH)zM41U?J5jW&&|#~@zn*Ng^*_PW1Qen%LZ^?
z1pJNn`TY2z1F-?pCF&O3@J!~^fA<W<AV1`XrT0M{V7Bq8Hj(3nxGzC6?mgn*9-I}L
z#-#%rUvKuT7vcxc<;=tfMUvp3C6%f0OdA%K!nqYm0>FD`V2^8>G(_b#n+PRp!(IJu
zGdFKRAijEx`RB`m?R-35-L>8y=8GeHiiE)N3&+C2KzV3)$<E)mRU00>z9OglPZ)HH
zp8w*yr~nG}7wS9$v>`F**`Lx#QSg~G;rQLH2*=J8PQA#}28o;gr9PbEaOmjxg%E9J
zxSR7)AaGn81oj%{kseFHg&f9k|MMz9{(QR6CrAgxFI|l~mm&o%PJ$QSv#Y`D5!tgW
z0=f_^)Nt=;hzwYnC(xSH)WPb{U1iP@U9hf8?>CN+gEx#4*=8b|5L`XDCUlGpUVe8^
z6t~EOn7Ntl^J`jAc5F)Gq$~v-Zn<q^98!S2!OAE1khEberSbUh0SY8<p?~-0RDxz_
z#f-EYI^e}evF2;ggNJ4wWt_&!;J%}CVS<ee)T2xB>@E7>S#q4=YJduinZ@tFb%P8Y
zgG%aLQwH!~bre_YMOEnX)Ocf~PXVQioQ6UsM$m5VP-R!I2IY<);*zdV;G=5u#Q8#F
zxKX=ZYi>XttoMFQmmH)(X4FzMS<V!m5bcb^V;WFpu;-Kb0tMvRIiH@nZw9^mP+8iq
z3AOLpwX=FCa7I3W-QL3jHtD7J1>Vtu8Sdb{^dt%_Sxd&q%~^uJXE-@;3kkAx_7+nA
zkRfG&%Pu613UN`3AB|c`P@PXrjnpOs&&!UrktBeMxY(#e9NNIb8rnJGrvpd)Bad_H
z(_q&rha;@K+TgM`>CJl{63CYtcks8;p#4Yh;g208xZytWT0dL^I%^{n6Kv_g`98vK
zY&QvfT+_x*Usr{cjV=c~uF;`;EU@`$wHDk6c{(oDpahJ($-**U=@8H~;n@F16GY<T
zCWgMtL!Dctm+}f7?y-ou*Vk!4;E_yDFqMX5^PLkqf9WtfnHOgkrw$ZbqArY447yF+
zuIaDO;SBnwG@+;lVcqwRc2Wg_&d_}1&rLd1{4ToFc25PwpKQ6<!Nv{jS|rlteRR0m
z{>A%}p)yFG&X*0n%M8-0M>yU2=^#`1?NsP}Md+y`Wu#86P-_D+R+y`3ki=MCnWe7)
zJ8qcRCES^za?U@OBstLF!`;MG*JwFdFme9;eBcLl<*)nB`=0^YYHYY8OQqpNthw_L
z`+F)wrRmYRg8()CYDPO|C15y5$jkn2C2{dE18dx0Dr`HG`u)ZMF<264uTQi6Kv)H5
zvA&U|Ld3sEj?%m$@WRo7MYy7ukUjN*^`5O27<GTBX!$A#5j9q08`u44?}qSm0b!Q#
zaAWJ)fB}BE@u1U4A!d+Ro}Q;vT(f{<e(pMQ>$&kWzlhzWaF7_t<eB=|V-D{^SuFo`
zaYExqabLZj0m7^5QURx!IqckHDO3E54LDV=3MRGo6RqYBPBd>bxMN$<;IWYfiW-xW
zC_j1$s@%0;_YzYWi8nsqvA_sThHh!X&Yi@B$oC+Q858)NcDE#ZoB_^s-ufM5^?}GQ
zHGisUX9DxbN|v8){73x}D`39kV-s<Elbrt1B4dz#MoTv(|E0EH5C4*akB9`q+xF3_
z5#;i{c6_nUi_quu83mip5Mslg6Zdu-fxH#L&t^7HrIar7fAP6Ty>9pTyk4^*+~#&Y
z8MJYZ`k?c8i??tCRYy+Gk;A|cs2+#Eu-=%V{;O&C+SbuVHRzCk#9e9t<msHoCf8}|
zIFq-rYTYNQlHRcvQE>y{Njkx?*L0nCY+=FGe|o4-XJ1;fWa`7W(;s)&)lE>Ta=SxW
zG`><Dc01ZV;?jpQ+ovTf0prxerAHzcNZ+U<VU99l>3ZNcpjl86IYteQoqjse{DXR-
zGq9S4cU`gnb$z$$`%Psp>2Pa0^o#16R^@j%hXUb65vTIAep8L-ckT;R7^RNw(tl&I
zo@2*mHFbM4e^Zlcc1UQCj!}0Nc;5BBNrvAmjkldTep6G*Ym>X%CaK$71HZg9Cqu@K
zJFmTb#;ErGfrlJ|r>WA$3yDt)bz#9=;r4&><J8ahu2_UJ&r&~s9G|v+qXTHUY$KpF
zLA?|b!_;3hM`aA-p5$cEffcJioTv6oQajBey&F^JsrD23=a|g2;o08(XEQ>ksEsWR
zEJe|a)RgpwYLyrgRK1d$oN%6|2Ius8sbwuwS;R_OLr@D&8;$Yqah#$44*&rF{|uLR
zJk@U$$L+nc_q<&9;tqR%j};}UQ23FeghC3HB2i|MGD<?S%1)HfeG-)r8dk|3A$ug`
z=ile`{PCRgygui=-+7`r-vhpFVrAPo;}cve5U6$6#lm|DQ_cz8oZY*Pkt00EGTewj
z>KS!BR<w+T{N>nRw?PNqxo0;DUJ@XFMsEKI|0)*g${<sAmH`G`_C}FJ3BXX|i1W@_
z!~RA>`%6|PaC(<$dLm32Oy@I={<^GVZI&;~VjG!3^*`^`Thn+jjPN(++r5FsjWIrx
zDPn~^0zUan$M8T72!EJ<d<%Q|#{}O>V~4fWbU(cxN^qo<_>uAXHa0CPU9QW@1ugTp
zrCuFVf|=93b`o;*u$pw?yH6Ak1k#>VYR@Xda!vrl=NJYU`{Fv}{)i7wRfo+)-%x~j
zl1ZzAAQRN(t~fKv@q>y0=Vmot5qzG_&pW(hhM2y-AGjs~7?OMal%)#?2J_sUt2wN|
zEIKW=a$5+NzSRHSO2Wab=gFbHCG6n)Tf5^;v<O@<9100^#eu|!)^zb{PS71@X&NmS
z1Fe0TN3->Dke9A<li!U8+AItomNH60&pjO{B~=_a2E25^NAp4G=!lbLqBO|J8}X@V
z;ea4g%#Qx;0;jBEH<Kr_;Ck1p`lJ&MqOk_4ihBZZm48>|XS_V@XYKl<{tyTKqN7av
zjtGH0f29j&qXOu1Gk51RD?%!Ff_A;32$a6;nBEFigdR{<d~i<@E}qd8n%*l0meSIt
z-|g|hCeC*9g^LnAtP`-^8z}+guZR5eb`zjxO<vX42@ijyS(@|4r9dk^^jxd03Z$+a
zP99EG29Z~ZDrfX%fg7xb8-3KEsxNDIgA@_&H>RZ<q{@Nc@ez@PL^3#@ZT&gEssiWA
z&%f7ZR)Ewh{@ILP3go_uH}4{n;1pfrkEZK582waEeltRaBQZ4gYsV<yQJ^o!wo3`<
zvsllV^{d06r0r+-0V))CX-=i*;$gpMPVK2$4alK8pt0+&2K4;QbU&?2fc=iA2!jEd
z5YZV>iwn_$!kUrinQw{EeISPO(2^!B&WWgU-qwMlUyjk42C6V$p4O<Xt_4hb8bp^?
zJ<vEnHFr!_gStO4SH<PEVD|MXkF)ZIa4s~k;T0l*yRlA?VvQz*XkeRXt{KA##?$V>
zm1IyawXL8nXn<i2|K|%n0B=7ZDc>Md;5^PRhp|;1p0Tta){Qg)t6S0TZ(J!*oy`3!
zcRv+U%I>W^zG?~+2SaD@ZWN$eIrOY>li|Odu=;2RGq^6o_e)2e0!_ca((&-^^ik%p
z+{UIET&$PeI8sUm*YT9&Vx3ALK}%#e3owV&P;%r#HVH_#`@EH|$-}!WJ#(W9b7=a~
z{F`8*2KI_B*6=_Qwp|~a1I-)?*MrJM3sgYk*vIDC8bQFx*uD+RHs8sm@bu7E0(6n=
z73|5J@P2(*OTxt*wziHlMD^prjPtJjqhniG+QGs(`M+jxg`S$-+^z^=O{zMg4ucp=
z$@Q-}5oTbU{u|lXC;%zt+S!WKVVaS`(cYC!Q~30{-$x{04#HPMHv0_LXvLu?S{?mO
zq40ER+$1IgWtxfdr|9X?z1|D_uYa0=PXPae{jL&VZ}!9P0ShxKTzusEdA|wNv760S
zmWjYajr(cA<E%)>nK4PW0buZi-KD3-f*|W%D7Mwjjy$&f$ISHsa>-L$(LB3=gLs6J
z$<2vmE&G1$K8r#6Vo}<R2^WkGao+q|$%!T-;GEV)V<@3R-{_`U;PO<;Oy&H}{SA9x
zmzzeg{L(rMFUSDWcdv-;8s$Vj(!+KKiVY!Z*V?HD-wo{Wo&aygLQZ7xXrJ-PZUg9(
zYU`6vUBVWV^oElTa-uAO-G@JO8Ni8aS#igte_<BV!5@7WI8ey8<<(|ueK_((r`buk
z7rV+jeWfs&106n4EE08B4;-%uJehr-i?Ju(%5%2hK;M5R*g1^og4R%6mFMkFntZ~?
ztGb*VD63(&PP)D>n3T0<s(c%w<;Hnz?3!UmjINLCKi$)TIM3g0b=$va_tGb$v7Phe
zg?8)6Ep6bQV0p|~HBTE|y`!<k!+{E}UNd&}(grPqIop3?%e0VHL45UL4x~=55)<mx
z0>94FKMIZ3X#eRh+%aw9Kyys4m4UW9dD7%5daL%Awok8{LEMECF$Pp5IJ9WOgXEFB
z^lO_mA8oArvLqMEYqpBY+NTLw0cV87^R{VRpDVo+S-Fwn-#1?@zi2>=LS(wX96b`B
zJfsjR&4V18&x9Os(}25AMC*vY49Ma@f6_H~UL+GJB=lik9frqMojqSMBJZ&)1))BC
z=;3?<)5mCaIJ2(je1)4C$^Um+<(0uM<QP`B5r$I-J7Vy;>pm>#&L;lB7e#*LJpOA;
z>OB=UVggm&zOka2Zvyg&Ab@=GALD-eQz3RD>;vr}JJQSg9B|7@5M8|*DsL`Bg$rNt
zuQW$E(4IWzeXfy0=>Ei*&aH10VBT*WM7qU=bWdEWb^9)iYBmP@E$>o5&m+u$$&Lp-
zm(9uhcu*9%?(N5OI#GbLzrb=sf)BM$R2hAm5JOQ+=9gmd6qxHf=bt9C3l;A<-f$yR
z0+kceKS*wqp@Xw^v0sZH`7s8yj|590<LE0ykw!8w1#=5p91}p1-zv}E50F9O8=giA
z*<=t8J~pM2Er>o>+eTl0FN<C|eQqyJA;W`&#`MlrA*9aggY%e>Lpd*UJ_Hqz;Zu;{
z$vr1U&=r@aMQ%|A6gQfp9oa($*<@Ar(=(#Txw1dwwj&NTW{0?m2vfkS{R{`~rZ^fM
z$Di{lP()&@|4wn(QNYRWtC#0)NfdGFI6BUNM{~|6+ZgjGur^SVuq7&u0$XZ@T|Jf2
zCx2wT!A*swqA|mIdRZiTiE3idPC&VqPjf~SsZhGd!iJGS4zWa+tQG61Af>%b_Nl7s
zaHn{qX^K-GjbE>;61=a9zNIeo<d3Pte<PQUgi0x(N!Kqw&rPeL5%D~KlR6Dh4N^HR
ztBFJ0;lCL@70HPB{zmmexh5>Ud2D)ppCVH5$k4?}Q&66Zv!d5qE!cN-$@adx5@Nk5
zyIcPb1r0DC;51m&2Fg*1eTe~hG<D;f?2kzb(u=>W^>in9{K)$I(0OHKDLTXSPlAeq
zdS1->-qQn@kKuN~9t5PC;a<wEL`9G>Bc8!*0NQOMhHZL8v~ot+H-LeP%GjM}N<$2R
zEJ`)7nkS+JK8qVXr4)3+NJizwtPzN;nwdm|tDutkz>y|A1xY?!il-gHpeq(1{d`mf
z?T+g5${Qk~iLSL<Wexz&eXWONL{$+(jeWpxF*P*T)KT<e4nXJ82LEXhRrEGct?DC_
z3Oeyo?V(qY30UvuIlD5bf^Ox?FLpdrMhCdtB?LxHz(EE)wgXkrc*Hd2mW~qg$QMeY
zXq&<l<tf>!Z$y-RC2oDQKmiTuO6<SsYYNu&-Ap{JM3mSk&-_bN4jtuE8ncWw1-5>Z
z_!u4ny7u=|2~A%Lz1ErdUK?i$%uejCEsJ>MXYl7HbG#_}7JOFKFwhhndOu&&sZ~Pe
zy$4Ul7ziR;HXpuLD^s}IsOEpsUlG|9@;Mp0@}Xj{R}b4bO`+e`Qc6k$hd%18KkHaz
zM-ScGxL+a@=-lIGXj&tW>O^KO1QnT(E@QXE4<8fIu?eC-<RXU}-K;CUQ~%LYU(_w?
zahpKLwUoPk%(5tyvRm_8$trE6aK6avDS-5S=iiHgQpj!Z=kb28d78(M;kBFQ07~DU
z>sD-tBM+P3Oz|2MwBJ3)Gpb)<p!BhGEg(-6(Pt{jFv<<mT>Ct3navo3TS5UBcd#%L
z&Uw!NB)E%4k!n3qEMpAUdI{%8`~?vQ3@7j(>Yxz}f35C4Yy_&+BQYY${D>o@Bh$|P
zBkj@I7gt!44B?XZq3)((K9sFD_T(K)Gp%EHjE-N20ciDIa0ssEK?}hh=e^QeXv=$w
zlsW|sVDu;Rko6x<bi;-E$SS*o=EnGX=)h5Z7-_qk7#You?zCBZ`#$+fBc&fbI$x{@
zf!^G-bvIUIzu@zZA-k6rl;OggMW+WT-O|3KP-b+wL6@o8dVm(PB)kbux<Kp4u#0_+
zs4GwWeJUEJjY!V<Kd;sSuC$Y6wet+9W?s2jj&Gc{TypNqH&Gp!%JNWXFr`O!s+P8t
z*k3eGl7~vfRc$z;EBkuboDN-)TOGTK`%QcQEFkCJlor^X*yF-H{f~w(RV0e~&(mDl
zgU)O?X@TKKtG!<yZP6aLs0`kBUZla_0^{3ln(*A_2xoA?Chg-$f0~cOGVMR{q8PBy
zglXxsp35s6wEJnv3xwmVw65mlTkA*z&Wp-ri^gowMwH6Ctiu1$eAAcD6@v!&t=1CG
zI&ILB1YSu0s`^W_`QC58zj0^Igj?lUd2Z0+hKutXnYU=ls)xLLtkof5<*Yza(FQH8
z*Sb$UaGRz*vrpfun+g*S(MpH$n>6f1QGX``J^I+(y^-Zf1(9K=u@~K&v?ckk=&c(A
zI`=-GVPc&Ep$kVYOw?}CB$wp>6@Otw-;P~%BPLN`V7yy3>&riyt)Tk(o5z_^f8FBa
zP*n<)J$V}afR_&CR>f+ja<L*#PKBbiG%}F(J>}?Vr$gsH)Q4;KupzaVdMZf+Brxxl
zqo)+nBdq|XEw&FF=;d%Qn*xOd<K_vA?{XMW&v<3??*T64KAiqZCQc1ds#Wa73r6%h
zSnt=00x!zQXEhX>RfT&}vt;576WVPvLe*~NLu$pByUJZuK{NnzPn)oy#LU6UNm+h$
zA3I^%)TILW(x2unHLS?;$8i&%I|AtA&D4Mct}1Z#u4ZfD5q8vU8|tm7AcS6g*{F?J
zAcApAy}%<WPL$i2JeK%P7~S(YGWRZ-2z+M^kH+$FBVxp3Pnlv-#O<Qz)M7;h!kzl-
zUTVCkvHE$P-V<@uR&}U8o|g!74CIXJ*E@U=!Nx7qE{O_dMtNPP3E-ghKy{vuA1RdX
zyV)uugG?*UbC-S+K-g?WkljrH^>DYW`+Sl`$5#JXT>MRd!a9e*>^?!n>9*B#UqK$x
z#p=4ph!a7BdpXV^NEjuwcMV=kR6t%uC;yuI5P{xi@D-UNiY|1gB|hAxh?c_M$5;;$
z;od)X$0#mwB+IU#{J2mF<uAzFyuYpjKGZy&UJgl=eU^#3?~pQjQE}<f0cTZEtMTN)
zt4O1p<)51bIf*EF??dh%r_|u;`yb)9+OkNHf8ot?n+h6KQ(uU!B*FcC%{3LCa_E<L
z_?&RE8oDGS99||z0bx<fZTUQTWO9GmA;q4Iv_i%w{dlNQH<g)XIH!OXdO~aEBPeJq
zh%v}me#gU{Cf*j9D53`U!!J7bQW5{Y7cG~MYJdRi<nUUW68aEd<#Az?ifsAgpBul`
zgk^r6f#exHBG%BcTPCQZSB~j~@%`H17!-2rnJxi+dQufVzN(Hs@X*=kZ|Oj%bjQVG
zfkbpA9wh12G>{){+>p?$2WoF5L~Bx2(6JHg87^fFWEj`s<y2?@Z0DzywNq7*otBS@
z&X79F3{@ZWPc#DW%!*nSZ#DG(vq`e6y*k1(80Y`D!}(4b1yUzjNa$w|q|Ag<QHqOF
z&bx;I%;OI1-6u(C^M<p+1s@7JHIurLaMlFun({^Mu946kKD<#Cm9$gupq&`O6y8Qn
z6e&26Pz|?tdI?zt^+;#_QGa6!`*R3aFAS<7kzVTo?VY+OgIEMYHO-)$8^0B+sD@bL
z^Zx6L#v#px2-UW5GdNfJLnWM`iZ05QwdpFzp_}eGOy>D!aQ4bxmF=aSe=RFGX!%kC
zohUQ<BvxPstyq!xtpoz1=a+w0mMVlUJ}c}bMVo;fdq>?@MrEYaQs!yO!iVzl3G0`v
z&0w~@adhmc5-N<QPwO;bK~HQO&jqZT!r!{btg%mV=&H)Yn4g&&v<KDu=dP!kg8zI1
zwQ61-kz7j)-9@Hpy-RZjFY%^e=gxDEtS^T|d)J?4wj<i9jx8;Z3KL+t9dA(}DTBgp
zU+$G}{Ep$W6fO$tm;mo&VmZUO1j?JbwA@`Yjfr0i3`wj7Xg}+$wYOIkU3pWqk+8am
zrB)B@=?8!i^V20yH-*roO`(`p+$zR$X-%U2HU|AytejWv1d!K;c542>AMB2JdnPI0
z7*-?2ed&kz5L5in?w>k;v0()g{dj{BJUg~`cH5F0)qKSqXIlPZ)wHvA=OzqcPtNnV
z^*Zbbom;SY-uf5I9osGVTfh*^^%8a~-(p57)b9uNJ^o@57b5?VtPH^VwN?2CQwAif
zTg$M!VjWv%bzc7!sSkfO4l4)c{-fy}_lhNd{)4Tg99*w`rw2#6L~tVB>ok+>t@zsS
zYnTYF;*tTM9%PGl((^Vg({4$C)zZ&Z%;6v5!?v3)oZ3^-F#cqomVNI~<m}`MW^Vre
zM_!c<9LV0#8Rws(CA?%Gh-F;Cl5(uaKlAB;dnG-lR6IgUK9&{9s=bWiX2<qu1!%+a
zz?6p{=MS2(-;_l9jU_B~*QdhkU0NWKop1Gl=QAztN~qoUl|^hK;Gz9B(1H#Idh2eV
z2HKlRwS02yA~sF97P3^T3D6SK>FAb1O9|Ic5i?oD+81jzpUP>1)#tiLTi>d&o?kaT
z!lW0m`rB;TA@?*Oq(fVLTlxbQaH!<ePq{^GC~}G!6VQMadS}0L-JRGwj=cT|>qYF3
zRtl~wNga;o*!TAmx-lgw%hj9*i&)l`>NI&lb;#hO<fO^|zzke7Dz5P_VNEfn?i}e<
zAewo&J@6jHY~R-n-zZ<gVoy9v3s#`QG_HL$y=WMlspm+r30}rD<}b_Jl~dq3zjC+o
z;3)Q<5MNk-Vg<v$j?PN}3e4ASI(za>U`nriM0rD3vFXsv-<pMFSh;bX;k)@S%pjqz
zvKOsk=}BWA-@cJx#^aMj>Wyh^yL-J)N_`z`scdMRVJE?HUa_V9eZR4xnllueFMlyV
zIq`UZb2V7-QFw2nIFGI0`1|Eh!6ue}j%wp{Llp{iYZ+Vo7BKZbuJaEn{$ZY7T}36W
zDxg_8cPOxJ5xbs0^Ni;*9c0nlg<ld^0p7-$Gn?ki*lUT1u<|;3*pnA@=&K(QW?UAt
z4SQFx%d?d?%w-v&=6s6$a5Di06x@8Z64o%?Dv9=zLMAW*Lh3ga0ysZkt`YZI$3&jc
zyC^!bK*;Nt_ZE|tfoU)OE4R}dm^k&Wo3R!f^wZl!B{3_*m4?ZHhKw!j&itKSQ@{b3
ziSZx#Fg)=5tMM$Nqk|@?j5i_ST);3!IH<X;1S6frx2<gHVegnyQQjXO2ngy@4vJL*
zRf)$l_<9CVK6u>Mq?-@qvm)#2rIes|5Y_{1m|*2oxkQs4KYTG0ju)<11kZ09-{Tos
zU}3yo@7=NhNV88^yzx?mQxvW+u@P2q9=I!SS1$w^UA{(U@`{ijX*#?$#|~PFqr)lX
zA|Mq}>=Q7JgTSM~+m0kI5DfZ~+1M!tcSZIohrPprki#k^B8Lam_--t4;3VOy=WsGx
zH4cWEc^R)3@_}I>v!u^cY1mc2$5*W$2X2iP3)(XLFu#jb_O4PEzWQxW-5bC`?X$GH
z+7|-w<xY0ddy+hu^4(~=C#MKXPdC3G2owTbwe#t&cM8B6(x{*oqX_ha7i9R4h=6lf
zL;n0_MaXD?heBdXusp-V{N=b9EY5yO(zL-t4c|}Eo<1eG{$En(Qi=pbCBKTft4n~*
zUgvkUU-5v~-*=a|ECmDCOy39Ts{oo!k9o#Jfc$EIeHmj}h*hY#b-+dqj9dyYC?^r&
zzGS?CbE+J)EgVwR@Fs(DWPVlI302_paG}?sR{-DLwUbZYP@u<oqdhc<1O|DLjM7(d
zut+Rm>Uu{7jj~8n$3zO)Gcg|1W>kV^+@)Ktwd!Cpn)Ubzn>xH)7xyP8;el)Jw#oZs
z4JdP!K7O}K1N>jVrV7arfZL9tMch&oPOuA<Wh85X#q_Qs{ahkkeA@2i(WD9CyzHHN
zk96SeuO)v=;T=w-Gp&nd(1P8mpAq4U9t<1JiwAqFfnQH-deovO6pktH6_hrF+=`{k
zJUj2*eC#v&Jzf(YIj82P1sKCt`4458a58i&*xyiW)_{uT_lavR0BX<PXy^!0;A3*g
zWXMx>829bl|9EGQ=lt<lX)>iiLSoiMYi%l=9JST_>b2voj~{2wnNwhCaN+LPMH2YF
zGt$X1FoW8PwBWa56qpM;>}SEH0!8=ilkA7g;Qo~J?9T`?(3QJ={yM4zVpw&!p@TUT
z=jKP<xk7@a+QJgXB6%<>xa%O3Y7V*Ws(zXTHCP(ha{nzP1x<Tgc_j1A!94NFx_`0?
z5PRPm#M=wOi~A}{;&JBC7FJU6r-cA9nI?yRC38Wyd${qGl{tJ^K7aq@Pdq&Dm(rut
zp#wcSaVeWAGbpW&`YzX}2!^NIWkT!6G0%rNxqQJp{BWq5cDq#pK9I71k4yB>s$z!C
z-Iq+^^)c+_`8RUVzUSofgFj0&aSN6S_nkgi@NWv>Z^(cwOSb)+)_=59#y-Y>dQCw5
zRoHXOG70c?`t@!+h!JV#yy$MTHUYn1jxG6IqA;$n%rtSF1!Z3>Ck7#avP;)YmvaT-
zGlR?UoEsY=(KUOg=mEIf@v4_!*#%swvIO@>>?lj}*_QDRkJV+y_xY%BL-S9@Qo2JN
zNF%2_aqFTnI4!%qygtAR8HN3!r_(r)>ix=NH*Oh$^vP_s*<FlaYNBJUoy39e44!y=
zwZsq(6g^nwy|jh#SyZh$J8__{7nYR=dknzzQ<aru*$OssQSEsj69;k&O-lxD17PTK
z$2WNW#x@QtT=&mqN2$^3lQGu%FsNA>NSPVL%sdbJ8CbBR?S4CczdL&1heivc*xqB#
z8B4;a7uZnmx0BnZL%QHN7FnV+i)hMbzoy=mvmxb@W8r=}x-hkC>`SvpAMG}m|88n5
z8`3QuX*`px1H6Se%-4L3c41Reg#RiV3aT6CZ(q}f-1W6R&yr_o#;;dADpJ^xmuq9R
z{&8&}9G?P#M+>wY;pfvM+S$+{+azDl4lNMjm=I>ITBc=3DW|!U*pVQsTbQ_o7G%!G
zK5e+WMtjyYzV~A#JF1P1uu-FFLabPZVauMsw6nJ*D%Os1AT5diRwIlx;oqOOgwo+n
znpw0@Dvu5)x-+&U%k@?RY|#X-sP{H)ST`|PU55*m<w$rm?b84)lM%JRB|79L;CU_G
zof~nMif>ncR|kQ(cN6*Q4Cwx$u1DFgc+i?*)W2nab#O37>3+eC$UjtA#8Z|J{iXku
zpT({Y?~@Y;zBVwSM(Lja&TR0Z45FpQXdxAPUA@1SNU)&7?YT^sxn1blX~Bd4Y^dO^
zf`#T>XGJ6DSEjAE_|eAT?2zt`7r(y5x2Q+Yj<$#od%ctdk!HH=<@u)+z{EgeD47F2
zNob5-J1v9;1TzUK9u#<aZlrqNlnaGN`Px~x3#0yl>cwJ(9ba~+JyOBLgObIIdg>2~
zqW!;XBucu;@KsrK+hv0n#nA7o$ypXdKTa*w-@8Nx_ZZ_j9+q9`@AAbfIyDlA96f2&
zP9nqgc(*<#d4BZ0kgp~oTM9X_#StvmNkB3zN#NSySVnH+he1U$h<*HmyUBMFl&all
zx|J@7{6+VkBK(#`T>jq4`@2aXTShhfv@V1e2adLc3GaAiVGz-7o&@Rt73<Cfh#<#+
zRQ25l6;Sy>$=VnK8N6_KzITjbh{4}(?PdlJDck17U5+9{KyyyiWSKb1UEFp?tBPn$
z>M7|OGX*5abnDLtOCpiSrC+05@u<zEKt0Ws0>q4^CmV;Qk!gk8Y)YFl+G-PYyw^s7
z@eut|s<JG?dp$3UG9{ussR-fwN2nkbsr1o_B8Rk|+?p?{Rzc%;I7)79QK6VHwi0YA
zkJ!(--JFwGL)U{3$Ku|oLrDF$pTCO&G8k_2t`8%jIKdxrsgE__<cg8xrOP-Z#v`i4
zjL1kq_sM17JWaTBiS9aUh9Z*dBRG}%QqaX<Yh?OP3-IyhTTzV?qTtV%<A*7z(CI{c
z2$K$s+bvgxw&PK}Ta3x9HWeuik&75ybwOOhti`cg8Sy$)&pkXzMO+@)lhQ4EFho93
z-tm!um>!oWdU#RM$e1_Tc8CAR??{-@Jtm?u&XtGp`cyPW@U?SkHH1zZ-1dy43aVSd
zjtKTrP->bEIn~A(-qf&nPL8P{qlO!2)Xga9?dABrR&OwPY5Agn&Ri7<dHG*FzCuEy
zNqe495&&XbOb+_`siFn{HC`f{8dBqRJ|#mmf!*7JN$bZ|(Ho_bmE~3<diq)&*HC5x
z*W#8tZKYIE(Z|Uqqr=LG!}Z{4e+g6IJ>a^e@JIzIcfe_v8bxG-OIL02F@>_w@FVK;
zM3kl&_wXZ^0{R~S0RR6Kmv=nX-yg^AmA!YidyR{0&(GUPC?iP-5s9d7s5D5@_$t{A
zLRKZBvWn_+$d<jLWF;c9_xSn!d;U0&bKdXwInUQqy7*|-<Wm!96An-3;ZQ(KYj;07
z`$(X@*@3w2I}`YOv2JUUmWaOL?+3MtL=c1A(Xx;ECLr7Sh_v1<kG!MLc6m<oBS%5r
zmgxs3;E4ShCq&DkBIn$9Itkq9c#B@LiK__|UUf-|R+B{$;oLVJec4coUp(QIpb3<4
zeH^1{l13-?DNkt^GN5zU{Esl!83W6T<Vw4T6v8HqRT(y^P-v%QNP@pHD0=?r4qlT$
zf|P?SkN#W5TMVgY1(}WEM?0x*L}M@NzGM*;`EM3iaH6}boCy%4BdnMhD~f0vaL?Y=
zF}(jT=02$d@b6*o02P}sDhlBCe7n+zb5gl5{z}Cl+skIJWuX8%HL+a+bdC7XV64JM
zqY)hZoL=64g%9}_K0mlB_ZE*HvOV9wZU~;7PMxpL^B}td4)eoy(b%8u+>Cc5L(o#x
z<qJyWLOzC*;XjyOVb?Yij_f;S0LeF|^1s(`pd8J|jrPZ1VV3XpY^Zbeq3Hoe5q-~!
z_CHzFpoBigBs0lNLKAvm|K~c}$xUYDC*)kCEtia+%d)3WR@H;U`^CAQJzzuwh8|lB
zfn|8i+K-0wVY<*?D<`UYnjU>y2rFQ#uEAHcR+DeE>p(Y;4wrHiEn=8F+dF-=4foEl
zw#gvs0LvRym!v<`$a>O$YCF6KpD&xX%(<-%IvM#-f^SlxomYBOwH-fj&v}Oq&j~G<
zNl!aX^L!hx63ky?D;UOWzVLCsw$Xy?ws!lxUu@#6l=18)#xeZUiwMl)gC?9+TYvbJ
zW&<b7yHHC8P2fx%OG-`zO_&NQ4x27q!vm%6e$xFng%f2Ru3bpcfM+lA{&Rl0iYG5i
zo;w%%56@l-N_)z!0jHdJ&*zS<;J3~ER{~?_@L%8VmzPAVL;MjT<})W&@I!RLabo8d
za5=(QY(A?x_}BCluL`Z;&8@*ZS#C@CTSJqRlo&EtsT+lOFs<NH3eU|$j<4XSOU>36
z_{b2JV|)L+!U}G~5PCH{WDRe*v7Vy*Obz^3jw|JbuHeabJsm8sH*nHR3wr^Q8vOBU
zR@A0i#TnBtde>5K<F}*eMGA3McrCP0Ir3%|_e$)V8Z@Lrw)__ktvINH&EbLpftWSC
zWH2F9HI^FXeK~Mq=DP|Q569{DCa>cc8+HztuhSsYg=bqA`BdPLz4Vcyt_|D>*-0dZ
z(;>&F7fT8pNg#RK?&Md)EgV0E5m;my5V0>HvN2s5l;xTYn|rtMxNz?JXH$&moAyjJ
z=bRE;8cB~2wx>cT-T3+izA+<)lU+>Tt(3rUjzNF=Fg2PwZ<2OqW)BjXAAFzkS`iet
z=w@cm(;&}|p7tR!JK7L<#5yFT2s@<kr4t3T$Z=A#Xw`ue*~#2nITEV?ZbIEoetYOq
z-`<H>m3%HFYSNwA&ZPk2B=J)L_ZU$7*QAViNgi~A!HV4>oe0~JJ#YEcn9!}14XO`i
zyr?WAyMkMf2qlv)95y@5=<9PM{e$QEkwJM<NcboLG>2ov_15+v$qU50TXupd505^4
zG?f4n@y6*IQtYT+HAe2DvoOLE7E81I2+%)dFfwAqiRi6t{f(nV(SV8g{WdEC9CGH;
zZo0#TF4n~~7R-nvfu(EW#ij(%OYB}RnC3>W?7Jtra0wJZUeilGN&tra375PBc@cMl
z@nDsN6mtE0?alEh0^HL5FC<TZA04>PCE%7Ujov07{OLYKfFkYD1pYw*bWy5XdB2h@
z+RBSRmgr7|Q*B+T(+xt%`D(PMQ@0$FcXnHhVNn43CmS1#eIn>tyX&%R0s#%*&(uFN
zsQ_<6zvrZ~ilY$A)Uf6g3aGcqvGW6+65t*;R~X0=sH$9GG}K55IUhu)%{`Q1<>2_g
z=ChJ$bi<5dv6qB?&qX}=POAc5F?ViqR!AYUjl#r_8!E^pvngThiYjQOyL@!zl|jb8
zc#CF6RZ;KwXY>42HK2_832R@HMe?>xapC1^=$Tpt|N0aeTG>t+Ec}#1>3-5P3n66W
z`zv==&PM~xnr0;*?jxYs>p+R)Q%8jy5q>!=TEJjS%g~rbMA5&tYvymMBZXp@#B1H!
zFhkB3o}N`ezaIT|d5Nnd79Q3o-T3Z*wf|p$nY0oTZx!Az`avBTDL9Y6$MwNpfSu1p
zRT*8>`&*xVS{)^JAJY=9H-z{TGJo%~k&sEz@vs-IWb{kPI@6{B1KZ<E2j09PAqSgS
z!?bZV6uRxAx%CYo!#cR1ic19@s2$U(DOE+SJUfh9?~Os`fsc8kybAK<G1m&cPeQSx
zbvfc!Ou!%`RY+-$gpyr7qJ{S>BAv1GhMNMW@cw<K==}f^dZnqK-uqb|N%auo^rB56
zKAOt+<5Oj1so<sJBq)PaEkZwZ_L{<#kNLmr?<k?PA0+9{OA=_}ae}-1swsqX5EO#7
z6p?VziQ32wAtdf;#8EwG3N~`ql*>g#6tVfds^u;ZGW}tcTU>7nPixT6w=4uy=5Q+S
z<K;c5L$Qpq5@8BHZdSOyg&g{#NhLPsLXGN|42CP@Oo658%)-Y@GH8(^J>hhB4rerU
zr=l-6fr%p_@oiaBC^7!wdP`3uzJ4=C-^j!Su2hPnoNft(pDiv@Vj0377$eE8FUHVv
z-bOWrD2~>vBF1V4XE6i!^Qn_2#*h}sa?-O!7_oSt;2*lXg55ZAysDuRz=WqP%Pdm>
zZ7TfIR64qeIZ8S1k23+-bAid4J&zaNVhsEACT#~J{Yx<yjm99+d9{G;FBh`3Ghe#e
zLj{Mq>HIiTjUc?O^$UG7I~vw=@rd-IhMy)T&GjXQps{ED0*3|*dRTjdV3$Y@`RL;K
z&0Yi0XXbSsW@bRQX@Ay8Mo>fBTh1<N8UtvMPK`6Oq(RNMlnzW8Q^PT@EggGJeP9>5
zFnp?a3m31HRsH;n3IyC69g`_~a91_x_RG!{{O!X|DXS1F_&HF|akWSn7%Z5Qaxcx}
zhuObcyD?HhVZ_CEfm=H8dbuof(q{^%(B7c?sIi0j`@WN9u+f1{`9xXYnGrmH;lozo
zxoymh(%M>`tqtMwxkq=Jd+`6NpEKXD-@;rw3@xmvwZTl<Aa3Dn6>i=C;+M+)EiA#r
z?U|967F_$%I>>)78=J6GUrL<a#F!HUdXF?}LVR;br(Q}UMrkVMzEZ!5&DVtv*=T7(
zZ2qyJu<ag<&=(^U-M)zh?dP~Y|6Bw9W?020whdw<ZdIy?Z40~U`CXP<R09Y*_gYRb
zk7Bc5i(O*EwlMdC=DFKR>Tu=dn~SGEj$_i#`DOHEx3RKhVyh~TI*g9SQbit^!k&gr
zGS1WNU{`+Hwk{=-AwQVLF{)?=`y#6$8_r4v32&I+Rtl5B^`@`tf7EjryHd1uU@;Xe
z#E&N5%2tDI=}PX_ta+?WwSGzK3N?7#G-S{rtHDI}GumI~ix|sNxc#_04a_Pv^>uyO
z<tdTAxO8?2`;SKMNskvTP-f@fxjCx>Ji}T3K3~Cx?v=GYj-mtfNBUFom<l}24CGum
zyM}Q}r(I&|rib{;Tl7T|Dp1i;I4fYYfk`{Csvg+K2rtfRY>jx4pn+?AEy;2Vo8QBE
zzk7fQ&Pc@XL=^7ww9+=}rOytwzSy~XCW8gC|Av1Uqg95+kn{f5-Bh6E7MxE?V1@P(
zL!S$tO5oAqr|Zu~1G+!@oo|=2gO$qdw`KK;pcI*>6XH$_WdY9FDR(#l-sm5)*HeUT
zYErOE6CI?Ko|b&o#sxZterGw$6ks}!5d@DiK%$4LWvUJj@LF^)O<)R;T2tKgosJ1;
zkA0`BuH=QTS&eb}9wOxC&M7YSGK1SI-N9RD`JugjyX5N?BB*-L`uBJ4f!odtgGY@8
zAu-FMc3g!B9>I!SvYTw+(N@@+Zy*emkU^?LD+D;;N+6gkaDtBAg$IKtL?Iz>(Zj8i
z0OC1Yp=T&ukhY9|@Rf=KT?IwEp_Tv?qk9|YI=JD~n0gQEQweY}vUpM5MS#lwl^#WV
zUZ6P<>dmtx2@~@|(K}Q`u#GME@tNa;KHF0LBR<kFwoXhevL%8XlO0dlTLI9YIe+Bx
zKN+xM9?X7Kv%9W%;JtsM5VS3L9zPi)2dPgff|#!Y2ue#DpG+2kjfVtd8Z!dO94sW;
z8!Ez+OH&?GU&P>SVLQ_bvjS{(@H=T7P=bL9F>`$;33$=<;Louiir}&E{nX{h$}rB8
zw62Xw!a2hqihjk)@IxZ5?wz6vh<R=)1mBW^$7!W(#Q#*FH*#D(@|G&x4o}?7`X&vP
z4&3c2FI3?>tzA&}E;l#r^F6{eWkKuhFU;<m8dzH=^+gYnftIyk^Wh^oSUTT+;*uU2
zOea5A%h_l^ag9+btjWU{%1HK?Z)8x&sMc~A(*!Rawbbi}iMxF_G9z27L*~9Jh|JUm
z?%KwA-ZTYZ)n5Iaxtn+U{~DK{y{-#|pBX;AYE^_EMNu^`W7Xk8%Jcq~Kz(3nJM2gN
zsRXOWOE;r!)Il)2W7dme2$%Com=3NCd6lD%C#%TdUG%Nxupb7L&0k7mz9eua_quaT
zsezX3t*Nl*09Q6wM}0a-U}ZdgZ?Z`hyjS%>^p-LF8`F&)T_k~8T5E+!KM7cV$Z`i*
zn1H``S%Ab>5`?FJF03t41ZuqMaOR&~9~{bV+uF^o4?iY*TJGksMd{|5NiS2#zHH)~
z`$!o+h35xVl*@qS(1r27;$41GQarCED8cqX%V>atBpe8pO1=BT6dueHjz`%mLP4?m
z>jOa|(Bynx(S5)am{j^(7k&~!gY#vbCIcU2#mD9*RG0$8V`piB-T9dM8$rqPV~69v
zweH1TGlet6dbiKfa?s~j+LBJ9gW2~E3Ff=pe9EroaH38I@}ys+c@HjQ7H;3%6F!?j
zuw6)c;)WFD6Yl@acs_&)A0dl;x7xigSIX=obxA-;=gR)xZo*A2?m?ehcRjS3;r789
zaTtj&`Fhpu4<093xPQma7&1#_u77$g0tdBU$%~XM;00n15Z1n1XUn9k+2;gdSUu>;
z?cP<K{`aR~`@;YMbXcI}Wj=^+_cvAb-Nc(dXFq5u#NZvjBJITw+@NeR^yXX9Hh#wP
z_`DG^0!afA>+fou@Yyle@Y>D}u5+e<dit9o2tWCcd$xKHY(0HzlVeJSgwoMz{dEKI
zm5jPEo4^QqMM04!7!`{COgu)AF#y9OPO*GnX<__x;hPmkDrAx_dn3?MACj1D<By!8
zf_h>zLz4Rr?jAkvRvfDb$~$6~!JpQ#mOpv5#kaTd+=pG^mpXJ|sJEMV=g1Of@$Ou3
zY1$V4D!SdnSVR|CzLq4My)%oI)6ohEzTd>JD>eA0oYsMvJ4?>z?o41gUJtS@hBolB
zQL0!0qz$f(k7kpWhcHad(bHdY1Fz`B;_XGWVe#Q)-|Mh0Oy>)wn&##@E_UH{^5Ru3
zaNQBVLoZZ`iD~ES-DFwEyV?0S-wbQQo6hBE+TYJ`oq>n1S}WFYCygSneFrt6n(<02
za<0QwjSl_Ic(R7ikiFVMDl~vUUH<x_Z5OV>+nF<*vxX;p7Y!3u(SYBa)@5O&A9#As
z;=<JM8qRE6J3{qB9sXpU+x}WQjL)*4kZrM9$FDNge`S(Z2Oc7w<Wqq${N$h2<O|d5
zc;M8bJl-raNWOg=t!X)duN<S~_I%#JMJmN;S>?&#A-v|*=RAdD?x**%R&U}yS&uos
z7pOs2sK4<`#~GYr*z%pSy@gwsvc?4Jse!xaoxtBYv-rVpKk|yt?cmH$CEnLHsDeuD
zSh>B_Jno>JU9o(h3SFG?KicK03Wlo0sim9+oFmS$q2oF=;%7KVB#o;;Pb|0njOG$9
zalUJQA#T_IQgtfjMO8qkw%4B2yNnA*yJ^VQ(4s3`3xc^$BskikYx>~9D*n3sZr)W9
zdL(ISAkq0$8Dw7E@E!12#~Y1VvRxiAAYa#6+MWp|$V^ybpSRz{Z;cSeF6lF&AKVtP
z3kFKSWfxld-ftV9_slKnXJJ9~nX$YPPZS~A`G<_;5h^sfk<mWJ#EQ;VM}GgetpK5^
zdN~vKsgYd%PJx{+JE}GCx2Zd$017qM<MTgh5NF}$RX#gT1izQR7yTwetFIxmj13*~
zsg6nh`-}^{{we$U&S@ez@l<Es9iT_)zgM#EaPgplpvVf7bprfgZR2o`WkijAHojij
zyh#1^)g7Tn1R(m`s%`i&BOksPdO=ry^iSrF<P8%7+?yoZ(45_aY-gu3t@Q=bDTj>H
z8r$-ak=Jae^o$LCDE?`cZzhZy&2KrGeU*o$`RaCM8cw8GKILC?MHI0!S(r%`%7add
z&OviqE|m1lOmk^a9I-?UPQ1>QhnBFQ$P*v9Q7F}&9?=R36d_Y*VT#KG_d4gkFcV(H
zyj5{4Y_Ak*4v`S5Uyz5Ze8<y5|MH>Pd!7!ysnX~!*JanT0|YRoR}AL=Ab>>N)P|xo
zWD&1#sS5Ec0kqy7`28+d2rcx~HP?^IA$num`Oe+^u&U6ZbpRJZh7-JPOD_p%|3Shy
zjk^N)N7WB&u8W~Hgf&NnD<JmOHto=Bim;w%AGE9_fecPl#_Ucip;na!#-jsDz&`S8
z$!ph7*A}wV80|>tp^u1h&K(kfFNvuKmqI#s*ck4JsG`GvnA91JcR3Sh%+@b1gKEXR
zKe92Zp$0*6CzqcZ9Fp%-oVp{6V!Zj<SVz^+s&<5R*C#TZJQfgUu`Gu;;#{{=o|Dl?
z{iMnlOamyyrr9np0?O~|#dG(oqnBDWcig8n!P?u(fVqK)B4a}veJa$EZfQ|SW|cOa
zJl{D+EvASv9_W3VUsgx@{39jz-|IpQWk|E=h!S#nXm-kKRvitTsDIp9tq&GiRsXDf
zmC>0Nr%=CibyR-$lJ{(%Ax!i{9jme=A@48}=k*;jI&7-#oIH+!8-L$Y@;?$fBcp3h
z!%0T!=9EuE(*PY8JO)baRCc}6y5e-VD!R9Nb?;8QF{l|<U`jqJXyI|$+1z&|^d~U1
zG3Sv9RBdE-GbyPchETiw;lqk(_5Q^pBig2LSaN%&DuaaXC$gtUy_H9|f}ch)7np*{
zMT<XPjmoHI&BkSPP8#hwWNaz5>!Bi<8^|VK2{mecuZq%>K-=y~?z8-6K-I9-^v+HZ
z^*_5J!Qvu>1UUC_WU`ro^Ld`=$|@oPyIYk<>bX(4>N{L}*c5KwmR+c0Cm^#!H0N}h
zn32ZB(t(CYra-ZK`{97G9C{gD8<8x!gL7O~y3o9PPP5odqy0WI$chlUE%0;-&uo7Y
ze7(*D7TW{16YfeOs));u!7r0BKc-V(08K!$zt0~u0do<vL;t;%K>0rh_S}vd$5Qh(
zM(vt*J(SC3_;I@!qVpc<v5i^89O|MLTJ{@5flYaNyst2-|LZ_rmDs@cB^%imR0CxF
zUF}Lx6+odxnZmNJ9n80fb>B}@06K2V+n~aWBwxj?e+Z`rTa6>O#=CynJN55I*(om6
zAMuLu^i>+jJuT?snPLRX60rojQa042cI;o?77bWfuWL2G`+wiL9B8<h(V-pshkdfN
zKv#WsDX-H2%J;{UGk?$_u)%Auv(bW)`i64TmOdPkvtc#ip++?yTWZT1XkaKb+USd_
zK4_Hb%Pt(-z&+XpFK7DGfMf9DA+7*DU`SQ4k+WLD!*!l8&r;EVt3i(pu}~Kr{Zymh
zRsO?u_Wm63+4W+h0o~y6H60NDV^PVx_cw09VIY2jL=DwIRi9*~10~!vEFkb5H=J=_
zG~M->q&k-Eg$!+Y|3>E8p7c7LJ6w~gKbi`rKJ?_N?`T1rF_NNkNyS>yj_Va4qk=TO
zXxR-<E%@0#M*BeOE4G-I9B|f{3VK_<eBNr%ggIZ2)_TD{Ou;@ob_S?Gxn%j(`mUcA
zO&k2}d@zh93BPuGyt|LUe%i{4mm1*r+$N}5?l+c5pT-^%PX(JQUk>o@-Q{fMOt_2R
zB<A{o<MPShRG`-oKsEG49omE|d)oYFFg!-^jf4|5I6kV7rx8*I<~V`s4beGF^5CkO
z-vl-Id{5f(eoBT)(u9%V(mb{i7{JH%m<Gm13mn&^$>22IsoPP#h`m^EzOcua7ET*K
z@+>V>gD!{0b?t;@Ebqlf@5|0~FmsQy{t2cA_|I<f37=JrNmlo0(HVLes%-o7qH~wC
z@&DrF&DXJdmJ95Mo-=?H*6Q-tUlq=p418JE+QjsnhMH99nZV99^zjuYRbZH<8<oYj
zvC^3!kxTcP!G0lXX~13uSS~zWQz!4%@gJY<Q=>gFZFa74FqH)QPmb7-9jPIEO8tem
zI2%Njyu9W<uM9&QNB4U_pn)=L0ovar4&e39_x)z440T>Evabec!B3+3chv_@XuYiX
zX7Ym)<W1ra7R~A5TUJ!>`U)336ropfBq;&g@QDq}W(GJ`Hk{AzzypS2lP2_qia;M{
z_^mOB3BCsCnW?t%Lj35;CGK6%in!%2P;AHoSByn>F75iJAK@mUtxo~UYO`vOlURYk
z6S_lG69my@LH_pJ3P2t^C~s=X4*u9C@w%`uq@n8zbNdv)L)-W3q6H@;4l;dytRxB%
zQq{;yNC94^(0y9E#Ra4qTfUQi;_zuAqpXxx0VoH~ET0?ThPMR_GlqT=AZkVHFvh3=
zuRlfd$sFQ^ST^tJOU07lWO(PJJ5d3SRmz_EFv15@A%Rj+{L+xLuO)yZKmmlkP~EEp
z0r;N$yHY4d224#2ZuoR5z~oU8P(CRHo}!E+!eVmpNbjWkkyDDG8+KZr(@6vpCbZ;J
zKFh<sVAbd53QExBw4XXDKn$EZ90VdMM6j2TxyK}}3}w~qKaDc?!flJL2aY5~c>h?x
zFy|-<5?qofUpFM+>a@q(kvS#Um-UNYzGXLG6$T$(*N}p<o)mkUA`+01+f~t8RhYW=
z!!GWMG`#FkO)FI2ohRm(E=QZxfMX&GOKgyV-=l}!h}3Fe6)<pvvPuU1^ix9HyXQ6)
zl^VNLt_G6++YC$A8gO65F7tVyJQT)8ipd=%!=CqVvql?t->G*@xJD%bI6E?u*jvc(
zjnz_0FF+e?ZCWrH8U=WKLEq>*pE`WvmZ*QAqzhv8(;HJtieMG~DE7UqI@C6IGd0ob
z!;2TURZMi0Kz_c@RAZS8zj?!sON<*p()z`(QNqg5evBWHBX)iG_}_7x1|wJ#A(MO?
zmEoi-9bI3Y8ldgIbI+{-6w<k*d@vF`d39X~+s&^(bvDPJ%NfHNkFm$E14*F5->wxZ
zqynOOzMD)F#vnOCSDt&E1V&;;FD~mUf%x14k#NrhLXA@_Zqe;}Xw!|rHZ~&UcY25J
zu<UxG#0@V06UwlZCOf)QA`3KXL4VS`O+old4upm(L5QJLPNBUNXz?FXbKT_^gNE?N
zO;<%=8@D`jnqC}QGhAN3&o+gn;Xq*zCIzrR9#JG)DF8f)-{R<FO~G5Po!#jk0Rk<*
zO~+Gn!|Nnj+5tCH_;8{0xzns1xH_>fUae*ZMaqA#?(vwyQS%!K#wM~rm+g=EN2%Z+
zr5_?oO`vkP@to~FX`p$^IOowYk1fhYkIo!0fl1F+@z-6Fuvjdk+dI~Wu};T@xPCK+
z2Y<AyNOBUuX>5e|jWyzK*5=cx$Bp4h39t7_Rxya|4vPA>I)*#uj#EDT0`PL_Z!%dB
zf@QIoH(%b&;$yrjx=VflwsYmZj7$PB%`5z1u4WM*Y1WATIgEirZd2+ZTV4?Mjfs`G
zwSxNzMbcedGJ-&wD$a~1F7O(SEjXpNhUXX@<K5vf0++i7swf-mpj|WV;lQwt$L=)z
zmLnTNWL)mTWCIIOs&&qIYOmwo29ci$t_E<nH|L+_4g+XWn|kuiuHpSh>#7%`^`Uuf
z^1#D~w7@ObQGM584d=O4Gq}G_556of%2fYH1=N?17RyAe;_8aQC5?=FFyHqgP(6DC
z)3{m6e>rvqmxlEH{I<KkIVdwi+rEsIzZd1^i(kgA8B!irJ=Fnsj%$CP+?&U2=(0N;
zl9q6jj;nG0v)b^b%R%tgy=jb(Q~aS=&LS>Su;x{4sSQEzlw-n1e`8EsaXpa@3pm-g
zebwTn7HFIjsh*`9#>n?%Mm?Dp@JYU9`=5KXAV7bs;zB_$X8U%bpz-89ZZvp9ogAzQ
zmVy#vpV^wRCDu*<&|h=7<Xopa%diHhww}I5$ohb_8*feO+@8agCPm+?+iO7h{aU&I
z4oBgPDI4GD56<D+Qx6?))Tu+#Cr{>Wy-)c51dpjetvS5il#<&7>R=FN?*9B}BVHf<
zWx8hH99~~vUh;1@C)@FzzRY%~1II&|uS#E;!$U5)2DKQG;eP-C0RR6CmuDcAeH6fL
zS=l>#T=#OX>)Na57};sqQdvccNJ$By!Ye8yQIV`dQIS!eKZy!ui;R-YQ1;B*_w(h<
z-}y<o4wOw^?8O%rj%+>c{DX)2i(1*dRReDq+LhB%19)6ryhrZAdAz#tVaa}LHE7f>
z5!k)w8~%<M@%q%tJYFdt-}A1A3QD78UzmMIa2rXxm8bO!c&u65?et?*a5`ra3sIwZ
z-*d}=!{v*(Bk4_4;G8OO*r{xvyE}$E@()_qwJqVtFBbWd#Z)16bVEMBasod!RAzBS
zXayf|dD^$%ngXu3@tr5erf|Cp(QZ|7tN08Locs_?2C*w86<nklT!B5HW0bg#yEL8u
znt)WGn4Zq`)qit1|ML!UrmYP;w_^5V3X=+O_{PS(X8nVI*cViAoB1!!Bz?SO)K(b|
z@k<m`9-YVS$HdOJ$<ZN7Nc75oStKC8NqF$5Z2=b@ay&8YMUUL~tEb#wCc<Ni|2X03
z5<Vv6OTP7v0f`ZY^D%oO6x@~)FyFa?=Y~x6wOKQv^ij3ioJu8VA+kOR8d=3(iVQs-
zUSmcQYH`Qe<dwj5XM7Fkw{<)~r{}CoCoAeo^0xn&Mu1jlHoaz!Eqt`tvt4I^4TUzz
zDckcBpsC+(w$g7K7uQXS>lfif&!5qlXsL=&SDt=BmYyDEcXJPJC+<Y)iqu{nX+=1g
zn_R7MiUCcl3|#Wb=0Q&v+$Y|ZE5O&9HkBJ|j7SG>vGo<_Lqk`UjypOkfR9m{Y-2Gq
zvfAz*Tdd|s_BNdEbc_nHqAZwwCY}`yY1~{PL<=IFyWe2X8+i~*o?8u1VMAT?#&`72
z3ZrOc!{1BS<RQBHJPYq<4petS!0=qEC=#a+dk&uR@btqZ+YQ)>6o;IeMaRU^@|}Z?
z=zu(gd`n_53*kYF%TX6hPf4O1t2${noaMn_UrqSXG%xxP-yZrcRT>@H^x|{6C=Uq#
z%o`ZPj|^r+b$oeb(N>AcG4C3AC>IIbyB8Bgc>~$^10KsEwvZ!_s-zXbG|RyuS4J4^
zf6G+E;jVz})sI>4Dpi14@=V4N6;Y(qQ(P9NPC&i9zZ@k36@g#0$avXZ9La>d{L>~w
zL@$ZsT0*`A2;HY*g&_&#ujezBMo>lvU;BFtWGjK4aDXeXf;8f@x3fNuk&$*|t5uOS
z2~@Qk9r7Y%kn4re^#Bi5^vL67OwPPAWc;!Ed30J9-TK;yU9O{|=cku6&Ph_>??q0I
zH@@=d!n-<Vo@O;<<Wlyn*?|fy=?|)w<`s~G$Lzz04K$RT5-CypSq*%x&x<u(A)tzf
ztjz_F)Y1Ig#sN}<I_wneWHl8gqUIA<{TSRdkj@t!jjp4baA3Cgcg;f*qR&Zw6aGyD
zX*Kney#uvDIYy_wK~x15>2os{$!Ve$Vi>8eKo|V>JxT}(CZoPqCT$^6O>}RgLFnO{
zKGd^)asBa-f{rb!Yc*A9pzG^Ty{<d#2Jx!Df7<V;qMUO(8on*7qmfAW%vw7DirFBO
zi#!#z4fDGT^wAJ^amIN1DI@qC*BaYzPeuCgEd`Rj)X=^fNnTz*W0+)&*cI$TMZ5{^
zBW7l*sK=|9{g;sml*SkDVW(2jqd7N&M0;h#&U$r0>X!)w@P$&m%2d&+`7QYhNdn@S
zK0~YVGKEK{7PUN!D2V9w%h{_-7DdLcTRRt+LTKQe_+v*hqLi}K{n;adP9OHs*->Q*
z^zsGn%(yc0NFK2X^%O)+DuW#8z9|H<+^qJRC!)cKh`1L)oG4moB`w&^6x^yTi*mLJ
z=)|zZ@0H4J{OPvxbN($8Xue>fd~rzuHQ2{gRAh|e(a6OvC)Na#3hs2@`7Vc6LH5Se
z*g@<i+nJByj3)4Wa>Qc$vkY492+a>jSi+!nllymwF?i1}{ylnI3gz1$R9ZEmgD*Xk
zTz|)mfN7VfIrj^3G%EH<81rC)M(OLtzD`D<Z+qW3k4Xf<9(lI~2UdVdN5xMc0kFtj
z*vc&dlq_eUJ>$#<U0XxNUyT96__O@ekMg3zl;Mt&d+e|p!E&D^3WJL^d}VDzoGA0H
zp2);r4#*Sr`QR3}8z3dDYj-p&l6&<gbTgR)*4S-#wr3iGn=(s4b{+$|8d6RXxXuB^
z3S>LR8UslBbF{|u>L$L~Nc73D;{Z+_y~F!{>O&8l{muMn5ieNQcO3o84)h~_iho4)
zVd?cs-Vym}{I=7k=;Q--ILsYmDdDUKb^CG>=l>4i&}tLB4D68l{nJsNEL}hiRo95o
zRk*<cY}{#%4d9+#r|_%}%vR`*{F{F4g&*tr=`uE0SXZT{nd-pt{_;T;)^C`FTUugH
z5*zqtI>s{PXoKpfLsT8z2~643u3|2p4cspsVV`H#h6^d0i<X6RnDpSnQ`rJGu#zB^
zF$8J>a_aw}tha!L^(%dTIl%_0mAxS|!<yh!eP|}>@G{oP5!o5LpB)_iZpUAA(1bU=
zEiL>uYglgmtu2vn>=2xNAup;;1Cmxmlh5#NV#K3ot)8TFK-^n{>WTdt5To7N;`911
zcFfPg%qxr&I5WDZb9&Svp*d~M`w1P0nxgl9@m%oe5N+|9hdOY-RY-1|r-z1xtS9Sl
zcfzTFH)G=SG&q%}JuhXz2wl$i3EDzD&|Q&dw;fA^Pq)k_O8#R48`q8liX%L5UGz^=
zq#O;-+VZ?k9$^L}vnBe1MqcoWKUvV$pa%7AKF-g~SwY>QTKZW7AB0|CKCE#{4HD0<
z9e?#^2ebuD`tBX%hv*X$V_TwXpc7^$qG!PlERY(O&npN8HPt!EpQy0ans(sv6bJN~
zguI#a6oQ1=__$O5Q9(26!QzoZF34WqD)Q+NhNe8T<XyH@U>vuZ%(}u2v#|`i)*hm8
zoxFW+uNW1s?^y)fIvz;86q?z@BMw$o?}ZbGRiP`+YN(=v7g|bcM#jJI0(R$tjKK%0
zu;{FCoOP8CX42xr!n-9wOg8p<)>&0(jmQ^&OcQ|2N_2!iL>gig*Tbk@ssMb-LlZHA
zuw^1;R+B6Pi(5)52L7s`J@bhD*DoQU_&()HN3vk*n^1^utHQU6s@8`AB49SFBh&p?
z4lXA(^09qWg_NuOKBa78kU3S?AZw!lJ6vCU?IutmsOtLU;aYK^-i_yo%2xy}v&-d%
zXQ?1OC@+8Zx&(An2X~5cC_y4AL0Pw#3X_MO?@I+s!GVMSkpx1BU>thn*!zQOkaOtC
zs&}O{xFnow4IUwZt^1L|o(VNL*=&r3*2%!{GbZyhmMXv-Dy}V_Ndr!E$K=fpSy<?%
zqwmTkLwp{~rx`zW5G<8hkC~DKvn-7qjwuQ-dUH(*x@f@t{Pe%Sm=r+BMArHiD;18h
ztA0v4rU~if{*w-pig2G_zue>s73Qv8=rq5f1@Ba*#sz5vs0*7EULB=^c75)j(N1kh
z9k12-sHX(-%1y-=<<#Kvel?~zRbAjFbaVO9h>$y3bMd#X8a&eWFfO^L2TrZ84xi&A
z!KtD3XZHW%1=6p*RTMCQpPEcHnq4I5G0#t<AE3f)(oJFGL_^SEJLSP2qzoXKN6_@7
zLd-QQYpK7xp{cdhd2K`)^10gT*G{RzaIxd~E((D5L-t@KuL7knw*|&uk>NVEStaok
zK(FGpx!W`qActLRi6~WusT{$`8;6WQ_iZ!Z0d^Ib_c+pc^EeU0D)|GY+KoV!?9pCS
zqzu79f2Zwd6hVn@UCB|!7;O3_M;t_yA>JTde%eJIM)z?uKR9U&u0e`*Lv|$i`N|=z
z<X?Z(?GuT0NygyRlc0UUiwGu4eJ+YYlJHoEaK0nW7}#Ct!n5}(!6CX?QdO2HxCZ{E
zU%6@w=WCT4pNJA*<i454A(9{@ZS9v3KWYrA`UxJ6pB13C`;wc5JTJU|?KYjIU<?^g
z7y=K6$U|SR-f*lM2b`Umx8NEyg4eT30ir^35QRQ$;KIyc@x!5_EzSrIeGKI@D3^h&
z&4N<Hv)h<mz~@#j6(it#$aEyjMH)7(HG|K_u3!tIKe?km01VZ9zUIUu31vy|mv}mV
zWAeSpOu=3N9i$sKa^l57USyxzL5p!L;^bxXz!eN+m^8N}6+~ey%xhFhX&CE>;A9FW
zV2~ZvCdM-^1RQTWL~QnVVc*MbC74}yLvTHNq-uu%(1|J9^kjX+USHbV`S4%g%Q_S*
zevb1&&hscG)Af2REKJ(RqR{}Jt0uT!QQ`&h!nSU)D1<RHrL*2;{KumU4y>Ds+;GW|
zA&Nq-$2KP)70>L^hqHaxL)7<i!e}gyQj=s8ron#VbU>mWJdpb0X4J?AbGr_mdy@GH
zbAM`dRi<AT7GrJYIpSF1+my)W4wfz~HBH@RMOhbWt2RS8ZZbn!fY$khus-ZaNQ!r7
zv<`%31YC*hV}$y(*%ucghq04S4*Mq$X+w@(*BSgM1Bj_@b33k#U{6JkH0;E*;j8&+
zQx-{j5M_$(-F6zo@@!{V<#M$Ev&xG5$xR1W=L>du_f2Ab?o+)*T>p5)ciGm_^Dkyj
zADdMfGK10fA83mU(*(EOH#TQCHnDl_tQ-7yeq+D>sn`7(4PZKaxhLW01~wB`v`_K!
zJXSeHbp7n50X-`&K|e$`FgxZ*()jsBOz+hxXZ9g==&Tk>2)wzD`3hE3qAo9EveBBS
z4cye>QM#+{8S`~)YTH}5``#+n!o~B|X@~}?>-!0ly6af00IS21wskBeK(F?oHw|Lg
z=?0R$*Rf^xZ{H=Qwy-<Hw&sLcHE<%jb^K^p$L_d`PTox1#x6)a{nHty1{Z~W80cL#
zu<^5(ifwu5p;v3}$005?=-;R5SS7WIt@<mNHU}_(dz^Y;Qw|lLC6kXwifmz6NjjhS
zPey3A_N<mSpn@S=$ZIc?znEb0>mJ(>W+?gljF<O?D)6YBYT|yljhVOkyA~_3!jNlA
zyyP+k+Enry-S5%?Jl!Kvy1WDUW*NL*8&RM!{V2D5I6YjmE|uY)VTbfCP24h#3|2in
z|2CBY^gj8VtmNbZqdm9V4Hs2lb!t(<FM|<+KTwOiUASQ<2rnwTslf2=U)f^4Oh7*O
z9FG0sfrVq9XWoBO2FuDv?{;dkz~;kXBx247)_m8bXKj>WY}F_IY6UASMY-{v#QC9E
zE3PxQmjs(zYqY<I*}(ODhkCb@Ak^gBepU)3!9&WS6b%XoTr{n>`N}5@0a%Rof-ngt
za?X6+MdAWIqyIkAEr<Z2K>XU<HX_tUq*@QybHi)d$@o|6V!)H#zw-DV5d!mHB@KV!
z0TeXw%tA#1Y->I0`67tmNfH+kl;wj02KA)!cqtHKuzcNqo(NgH)$hNJ<%eDyO(%19
z894oY&v$Yn5j3-}ucdMb0)^-sJbYXhRyfxirt65{80kk9dL{&dA=<LJ{c_;n7<$t|
zj0B~P6shcB5vbDYby@XR00p{x3A-~%knuYHfv&3<>?O#Y2w)<BS)Y5*wxu#8UL9Bt
z^4bMOT&3FAE0kcq`Oc(|iVC!?u9wknNW$&TCW+YdB=`dy|7BZ{VJWmw%rrn6`nyoc
znvn{unH=m}$)$kR@9amVxiT>JMpPkvCk1Hd_lkd%qe3d*f4*{)vOpsl1y6UX!fX8!
z2L^F9XkLF8%Bm|5y`djHx!+QORrdm?qaF=j4bJ<&zo`J4!zruh6V!mpXx+{bqYlhv
zn_H#Rijd9|7(M+jE{R}X{9{q$-#!1p+hw8zJu!E44d2tCZID>Gny3Zy6u)}bWFm-f
z<I@d9bx4bLr_EdHKrB%)Y`v8P2OLzNZ91sKX`QIL4jDc8eeMg7->fo(>z^2NHB|>a
z@DQ%&Fo435ah>Q%6|iOT>9Crm!NTM6V$y~o1Z;P#dzO<yvy_%a+5hifY`L&U=Q{=;
zO62n1TTtMO*odH^pBjXB@;n~y0pL!XxYn3S0fmi2N$f^c_{eo(6e~1>0|}F=5rq`c
zS|2l2sQJg!$>*uIhm9e7`c7lzNeTpbY#F-TB|*Vlo9B+-#vsDlXK4A847!f~x#Ri-
zNDQz0a>C67PJTLjTS0^j_C_)OnGJFft-71FA=?CM9qJ?1{_)rCiBbOpdudQx)6}ki
zV*>R>Di7=5lHg@wbf6-?82EFqm&#R`z@LmO2j^{xu%qWzZQC+G;O(_{4U$aYUa-G=
zZv_Fa>we07`->B5nFjS;txezvM_*b!iz4uN`lo)fW`vOZfnLIbF+34tnM<*h2YPoM
zL1)@B=5S8xBPqccls^<{XvNEd&cWetY5xk=`Z;dMQ^XinrBlzEeUb(ZZsCa?)%Eyp
zfBgpDEF+kz9UcFONrE3LdOF+j6IUBBP|uS!g4w}|t1hhKz>}BbfA;tv+@&(httJnk
zAl2$-_=Yen%P)w(lUT-6h%YR3NC0`4UpBYP2*Sar2XSj|YxwSY!6!|g7<`=&ZpaGf
zgMjBR+$BzJ;Kx!IcM62=hV^E%a^T^C&8uHhs}eTxA|oKH-!=r5G_~Cu&pANytS86j
z!X|!i!>;90wE+yAG&$e??4LIZTkU(&wTUxwb*jvc>%%1xE`lo`6TEBlUrTk^#9gGm
zI9p5TgK6`BNqJp#aOPCZjNP3LeB6<*RNGY#^i1F19Uk7mVm1i^@-Nr%AHIi3<_~n?
z$d=oewW?)IKa?+{1+C$OhwlxsP3piewZfiyrFra0oqtVO>ncv}KdaBLrvuN|Jov`-
zeqk4Hq^l&4t>C`Z0))RewZU5X3!^RnPfVu$`k1re3NG*~aVua(3;avp+8m4+#1en2
zh-bSm<Ar>7B!PWekS?%zxzC~l+x*z|-Mn=PZ>855&nwr2iH=JIh9ZOoj5MmeJhFuE
ztagw7DXj@~6aCALVo|uk<J*E1;UzpMF3kVlO%0$vzvyyu1>r4nu{9d2i@1=o2V^p7
zKwtvf;QoW3aoWC}zi@^ne7WlOhssOp&{lkEX<WSr|7P;;S%~%$-p}+-uYHvUi+)aA
zck~DFmflZKzNRhVQHvU(??P!XU`MAFGy4s9sA1k2B(sd?&pRbv+*E@~`tEDk-5>bx
zdzT+|_b%g)b(qciV$`6Fcl#A9X$;qwa@{vjy@KzqxjWUmQw?ejx9WZsP2hyF21-`*
zD&BTwc9+F{D!4znHl|9P#z)>x+uh(;$MdD^yYy74P<(^qfN#+ZURx=@6m@9>zxw>c
ztWLZt2!!iZcS`)m-HE5`YNWSt=aZF+pQ<VF^Jm27-k?8t)9TZy_4U8_a?BntwFNS0
z%MGWxbj{<@J0q1LmJWSiD#`Gnk>Ntwk2AZh7xBTwON!T@(W7?fl-|ft6)4nt!&lR{
zgv*X`oVc~hfOd)4RHnXDhB-%nL7yutICb82s@0nbO_Ua!e-c%Oey@C8|9xwC^YrgT
z-W6u_!hXM@_c;=*p0RmjjBVg`j%YIKIV+MjzfzI?g$SgEKBZ*mE&PtpyVCm^Y$#4)
z@1-9mL|~Z;4>Ql+#(AGBL}D*EP{6OS*}PXuaB|P)zekrI^<Ngv%c9$f952{Ei_}m8
zo!E^CZeIpOIyO&xV#0%%MhYk@H3SIs@eTa`oe@pg<}DNQc~LIEsMakT0^D`Eof{az
zjIKy$Mfj8Wk@(=RyN#2IU@DMiA!Edf*0_E|?dcRidGGAiq*4_Dw_IesNoGSbL%M&`
z9|@t&DJ4zyy^7#t_rms;IR_%m(BJiZAcFRG`HB4!QiSjG3$Mv3Tu8$wT=agU7^>y0
zoW8Z70ACB8PV8mpK}w?@!9*zuWUoKU-2YPnW+&t<g?)L^v3IYxi=Id!(Yn&9<=+Zm
zJpS59@h2bZ$O?b(R8s~e8os_&D53~Up61+nF#_mMopaT(GFeoRVMep@P=r$o?UK2B
zgwWeny59{J@+g_P@8{%aMQBqed2g$TpxWvT&SM)2=#pA?nV}y6-tSPZ(bpG4OKZFL
z&o&WI8Kc;lN-ZU5v&|*D2JJ$D`Zi(BMMOj-w6q5s5Fy>k_eR!dNi@<O@bhzyG8*vN
zF~=7}f~J#Ij|!ehBSE_|-p+h73R3y<A(l@Cm;{T$Rp?|<&#i|+=Fe17Qs{w0FXze7
z6B|VdKQ4z@WVhT-exah$_ZiCpf>ij=T*bS%Umk4;eUtg`lN#EVeC2n}T@Cn*8z-+j
zE21vu)No1}4TVr<3e*Q^Q2VA_Gp3(_ep`HtrVmj^i5p@`MR6Kn^*k%p+l7eC;)7Fy
zc{Nb>q3rHpFD<|iv=#-lkdSjtb?LtI8Ype!T#tZ{4ouusjqoC>pj<A(od=m3=;E7D
zhS>k~!07L4Ot&`~9qD$r=nmFE3irOgTSEpgBP)<rbcTXHB()sST2)6IStVs0>${;!
za^v}cnJVJgKkTTfppKZVduuIk0j$|Rb#m@eMSQyDq3N4yC`sx-16_&{2psb(py#Bb
zyRT%XIImGr6W2<TWT-J5_t?kU$v{PCS3Ru9?~_see#@%^+9sgMv$ZGh-oH9>lU#B;
zh=?0$m_BPZ0avBFs-8m>)J5RA!qcUI9<rTOT~alLbJ4c%DQ#plbnZ*0ZmSH+bNS1n
z=WPnfOW)IaE~+52$kVENE#jzdc0-%_q$z|Lj%&3~l2D^ng0%i+0Yu5@VA*473N^gy
z`o<(8@;0}pT7Kq07Yv6J!kJCMZ)vz}){=nS9%a}#7||hvyuQ@Qd=qH@FkEl#sDPqh
zXGS%>nZ%#?ifq5sFoBr7>C)Oma%e&`$a&%UN6dCHpLU}BpLeSy?h!pEgOs-kO`i|`
z#{46XH>XgHA!)r;Hg{PPwT^z^`0Trm2|4&2&dD_bkL!=7hpohsCrf<)uT45=>-y3$
zCT0W;Z$Gl@whJTfiu&@!az@Y-`thMW1)#o3(Ifk&019;yu3Y}-f2|c0Be!?}_|tmN
ziYD?Ry67_j*J@bc%bJeQOL+`h@E`rbH@VO=dhJs@M_57e!l2$XZ8s#bJM6HH*?}Hg
z+&FqHlNCe?*W%`^4S_Fp9~a*oBO35d?`*xv3ON@p2#23G0D<EV>E32;<5f==`%XKu
z!s&X6Jf8ddpikSo`I5SdJGKu^4{fu6#I=G()-FA`#C-5Si|c>zl?P)^HTPIxV(*KD
z3VuD9U}@;Pq&tqMO^rX?uge0zzbo!PcSsk4zMDi1V12j)`%ypQFf+{0W_~Grq65wc
z%Y+YLRrt)10i@n$hVh?OA&qo8z~YnplW6u1OY}SOPS}$f-mml}IULpo>OqX5<7*$*
z-bA(Uv0#RC>{^j?xE8$dOjPb|`GIlxzce4QVTSzE`dPb`v_QUbgl?T<3cFJ<e&I?W
zGvp01bZy?&gfi`t^q-A$Sk=uP#UbU)AbNg~V}6Gw$e&F#zm+hL(I41*m0yAdf{GS8
z=Pzr3R&s2O4EqvhxK{ikypZLekK9%m-cpC?s%Kpcek&Lu^6E|8nH3zWn=U?#R0n#q
z9p4Pf*RY!>rNT!kJAf&-g-T&j|HmDt6Cz6+SVED|7N-gu=tf5A#oVI7kZ8D|7VR$<
zx-{n#aey7P{!Gaf%Fy6mMuVT79v%4H{xkeEn*&04o;f|OPy@ljnQ!!-^l-`KB%iG~
z7mS7^elFXu24<WV@%1STVD`Xjm-XA7@O-&%vTu$G;l<%29G#4C_lwNP$-O*q@wjr4
zYbq6dl;#?B<d`AN`b?b0L0-tqPB9JHO$Ez*)}yy#S-_gEBHlHK558OdOLssOuH5}P
zc#v@iJbZDw$+4IpgjzC<pIfRz+V1p@^1E!%Z$b*GVG@KyW*zG0TMEn!54Fzk<p3cE
zU1#zoAsDI7jNh`Mz@vp?wmouOux7PEbrleS;P_PWonvJ18YwBB+Qkjm5_9XPKZ(L%
zY|s1pn`F2lW5dsz#RD1gQIR1f;&6HIS)C<YGE@ec)APOKg-P2_zdXw%Ah=1nwON)7
zB@w69IT`o?Mj5ZSeU*Z{bce6j?Ic6?1Kz?ICjmJ9HZP)5NCqUWgs3HgWYDiK(fr;h
z2(seRe^u;cA>{I)WRo5luAHyR^Ex05<h-OaV>xo*SU)aX97P5NHtJr^RS~dxbk=!|
zNdfA4Yc<_w|M|+ypVQZB#NcRK-om@{im-Cr@CofI1>$>YEj#Y*g7~!bD<4-0Aks*q
zbz7;zvo_9t>Rm}-XMWilc!dbsb=>+KvQ*G;%IKVSmIkeB<{Ev1%HTylZZ=v?1y1`z
zzQ2QHfbXY8XhFUTgtpP+hG*2^Yt~XULz*l!9e$?ROQC>K+Cxn~D;j*QoAqq1mxK09
z*VEa#s&HL6=W(}*I&h#HJ=7(6usnO%#vp<Ux1#G<sO}ojl={?0nWzZH+8TxT1=OJb
zQsIk|2b$1G*?q3Xg#Z~>2M+8>QiG#!`if3&X+fZk$SKVzCHNlz0RR6Kmv<o5{};w1
zd(Z57&FfySd(Di`agiBO5#=i>$%r&)kx~iC$V>_mk(pKL^H!1~83`pLvNIC0fBpVF
zf1LCD@tkvBj~$y+Zq2YJtbOs=-xQ(;?dQBd6sD>|bQ)Js9yb-f<X#X_;@k;~m7lLS
zq!M9vb3XJkGZogq9?JPtWB}g}+kY!KuLdU^Ty~2$YQl8(g|j^SjG$IhJ>U|J1O_qF
zaNbrEHoRVTTv;@R8w4hw=2s+`ypfdem`Z^wJtYRNbO4{D@^o=wG8|hKXlHWK0DmmU
zC2SSId0P(2OOp(3n~!ENX);KO*D)L4H-T$&bb2};83ednLj4km5TshUFG`UPHo^Xv
zhRR5=T{rusUW+n(6W)du-=TwuUGI_iJ4n!>fjU`#Du4zb`N`d0I{Xx77S}LU1HP7$
zmDfvh(92Lx9A-3yH2u`IzlKCe|7?(Wk|qrr8KH86T&D1T%x*Z3Qx&?01WU8uih}&>
z92W8_9en%~7n`b;p+URR{#%0}jB8F%j<(Vv?1Ad@lh#UbC*pjZ<sBZVdYJ4}bej%W
z?Nb&qTNGgO@}2M8l`OC$p^9&>AsviA?oAlkMF28k!^DDd8`vE2C=Ka1f!*zmqsvGR
zH1zu#&kX#*7CVFmzXY2=vP`?=4HH@5<&u6l`g9CSIP0jB&S?T<N*gmVLkfZnsk_2P
zIxte&(GIr^fRCHEcWiWtL!85$+|QsqJnOx<v@!`GPNy_=T}Kp({X2w7Pdo51^J0U!
z5DZ3$R|AsY2*Vew;Hq2Bcl;4^<9tJgG5oot-xe4u2(M!MiXQCxf!7Q#E$hEEf?ir>
zYneAccyqKGEQ^ldRsn8DDGP=`NN7#E&BP1cGxe<64@Yo60}Ha8vLT%JsNHXWmlJM;
z77w3M9>KHw-Ub?Y7{D|0=^>@dY;fLki0|94A9y~-boNr#PH_FuzIy99Ggy6#3_GVh
zgo_3U4cCw9!+-2HE||r3_+rKs_h$V&{<3vRpqr)-vYyS<d?^MHXjqH=tK5qtl`xmk
z>v~W(_9$v8U=#aOxU<)k=`*fpxndmLrwgH&3je6=8YXnF?ytqEkGS<T`NUN{U0CJK
zyD>!ni-o>Zr_H^7jX&w-AM{Mqfoz&=7^!&?8_BpC6>L?CxAXj<jBIMd$6GV!OG*~7
zOJDC+j$Tc`${+f4ws~s<<-{<RcWfTpRIT@|m8!+c*(}7@zi5H&gwRs0_Z&vK`*p-O
zp%L4-=rLqyr3H((ojkv~%wSKoT*?>J+c2@q0a7P%8aPF6?e%e)#`2@v_l&N8#$4$$
zM^5U~pxE81sqM`qHp1VNaiO*s`^0}VNT!+!0v-iQ5Ice0)X%22`1NB}!H?UI=~3aa
zCxzrzGLD7jw6V&^4PiG}m(HrxX~JPAl`2)4aV*L0nT5*iFm`z#>B=5+P1tseS~&A%
z46BvBcT&t{6sy?I#`(UD0#9PzvMaTZVSeJKTC<(w*#4nnjxcu$1c$vJJjOnb$q!gR
zTR1j_DP*yofBi!PmRjz;vAr~o?Y-K){7QHRd-it97IA4n!nBxNpz;KE4)^YtJUfRS
zwmNIwXQ&PZh36V<*(WjUr@!qT7w55{)iHssATm^mN<P(>o5J+a>_vw=3)uH&`$*vu
z63kujb9M`u#wJ_Dd=xAev1l$E3;uaE=vOKX&;9cYEAp=WA}qIzwVaYLpU_i-P2Md3
z`tn(9!ue{|bGa4lYQso!`VAuFr+u~I{W6Em#8;s8-D_Ao_dRdbud3j@M{a6iejYpj
zG^Ss%a05GBKd+WeQ-y-`$m82J7O<=I9*uJ{+hDM<h+QI41svaUd`Z0X2m9i9YYe~1
z0D1TMvMc{8Lrd0;^X@yAus91>sb>D|u<OuIwXCDcpvJ~m9ND;x1+bX*7}hg^_ty+2
zsct2py-j?Xne$Iy4EB*Dodve^tKVJRqXe~Ud?7hy|MUfBpzw!m!0_QBt8%*{xP=W}
z;9uOpg6-zaZF)JNBk<DO92Z3>yH|Ydl>Rm-bkIH#WW^1DF|?*kDu56l=SQ1V1_%kI
zJ@8uM1&uF6>9z<3czHL*Sz3HM1c|uuZ3giJA$s(RrK$qBr8!;Dd(8x%JxQioyn+x>
zuo<t_OMoY~3{SQ0vcT-V8$42-LXh$-)R`lh0AWTS7*-P5z+vXiB;oZAu=yFC8S6oS
zWS_F~%C{WgIC(0wc|a5jp7UeFMg&+bo~<4vb3>wS>bZ0c3ApjmeSZp>0D2`98o8Yp
ztjxROH=aoWUXgmJmPUX_(Zo1oSALMNYR2O9WnpE4t9NoQ0q$(`dwgt00Lrga&bd~}
z0e>QW<V*qq0{hM+UVkhEsRfydUmOTvZ(n)%&>sTa=YO8EadQVObSg!7b1A~EaJi1t
zVG6J`J$`5*UKE%wvWn&YR04vrKRUis5l*b6?pA##4y&K0xfuFXK(C=vte&I<{i4@w
zn^dIW1}ks*sc9kzN1xQ|{!bZZ7h=oAt7X74?2^SgKN<Ml6-5hrRiL}`LD)S#IXGhZ
zI8WDH0|stSOC;tI;S_a!$@Ymn?8?Yz8>yo}m%=fTu2vHCvar29psoN{oi@>YrzXrE
zO<w%wssY;WL=%mAMPL|r!dJghVbqNMaJGsj+zYq+_}uN^pXxWvHfg58CpORi4_~Rk
z#WPi@vY`S$u0P^3O40&_mZpJ&Z?wQZn%wv{nFvDPTSquZ+CYqyJN~#|2R?LkX>G`m
zprlzL%`{vaSmI82?NHQ*!wvR~Q88pl{z+fczNrmA$9lN#MHzs*^&-bat2!86GEWVq
zYJ=mwjNJ*FMnI^vJ}B6$0efF@54K*^g1rB%J}Kw`jGJQ|uk0wmVXf4V;z0w2EL|SO
z|4e}L>Ggi;ND4%Cq?l<>Xo6IkZau}94&I}+MGAK*5XAS<z(9rqmK&4%g&j@7nkj0#
zaUcacjMK~<$Rs$!VI$GOZU)p5t5!Kl3XCPRhw`^7!$(o=+qp4jP*!Ct*Gba=mGf%L
z`Tu-V`1n-#!yYsEtLDAY@a-ROh*-G=_Dg~DN%j7Rvt~fpop8(4kObA=d3-gKg+b9y
z|4iK%Gbl;u$Q|$`LhJJ8(xMa>bO-Oj?32vkp0B2_)e#l2NI&bX-?V|{Jlk`&i)IEf
zpS}c3S}4J@`kReS3g0nXYXkbsb5mfV{YM&+RRE`?F|~u&M)6<cd+tV4P2p7E@$)|G
za^T!4sV5?^ia-1Hz5jF;9U_4FabA-Qv<S0&O?<<M_CL`1#=%X8X7V$YrFsbn`MDM{
z#m<U|F*E-;o;QKYbma-&c@gNeE&qL2lmpGytp@T=0JNH9FdO_Q1QHyKG$3-JP4mVp
z4F3W6$!*n`^YFvV6p2&s&v2tM-U~*C<ru8`rD|X-T!6<H%oHi}p!ic+D)E)Z;8>Pt
z`Xht|Odh;#kMQL|{9hAB85)hi%Huk9cOV07s3hsrj_{x$<Czlz!-lXSacm){c?CPs
z{yQh&|9x1!3K_Tz!Jaw!J$Lpz_R6=1Bch!fG4rxT&S3_y-jdZ+lr@6!z0DLC4dO-)
zIstdrF7JeA{|QRQO1EMb%CaYyc5ovS^h?^j)rU!+`!6oHAbj>kqg?$5F2tc$ASo%V
z51-<78mmrz$MYO~q~epfP(uB0-v&QD*wY#~l0h2BBR>_3gk9!BUXyFR70v%Rp(pUV
z^PxFhro3{$$W1O3^~mA$X-!?|+v#tWh5f<P{^rR(ujE2c=EOR4?(2Ye{`O-7ZOgb+
z<R*QJlN+4~(hy$b)q&4vud1ZUtl={=jROhM|8$zvH_;=tA*4Q`p1gAtKf|m0UQ>q$
zN$nDna$?bj(u&}ax#Vrgq3@vqCpRy0idOTMjnaa0v1`rewlkueCw)I=v+<#qf(LeF
z2x@^6rD=7y_jc6m^P_<wn-4t^_G0bGroq*{p({lnn9%rr8$E-){7A*h^gypJ4f?~B
z7=1KYP)68R_M)T!V(Mc|>h7R|!(3Yj%RN@~wYpSnV(VXB`sZ$jGgQ#_!;N0@vm?KW
z_?p3WK_sz~&3;dU3Qe8?MG+|+NQ%b=uN4wT>!-KhS$(ew>IYbi6e(QDVNz$$Vapw8
zwnRBBGE5V0%%&@94{)Q9&pie2Q$<jI<~6<7hMJHqaf*eI&x>+Bi78VoVu+`tXxV^K
z6XG@uM<w3zp$>vTd1<0JvTD4dl=F{6)-HM<viZP|1a=mzjAN3h^`YP!luv;S&m1<X
z0Rcn|Qjpi-l16ue^6M@}Q{Y^<&f+4A5GrP<o&Eh+1~s&D$b36bfvTlLG$~VIwCd)2
zietMRav>{Jv7V)XywDk!in}|I5^W1z6O%_5|J(7$Hk1NQOKt0U>mo=?gV7l<0<w-L
zgo~z7!0TM|>)eZCD3*EhtI}x&l)rxe_cEe@t!YUSyMP4ZZ>TAWsZc~-L!l#y8x)8R
z@o;&KOClc2eSd^Em5^KPg~Z2pny|oeT485|G~(rbn38C(f*5nd|14B$LWWcH6A2Aj
z6rm;UJ(Q!0$ebQJWNj*JDATunSCm69ulWkTTO=agS6?0veWXJ1RpI$51$p!%VZdh4
zn1s^*4(@abr@>T?nzSvEfE@3N=f?+=5#1@@(|?Z^bRBH;K0#AJPkA+k_*2wTebxCt
zE(Y3gYsHa|(?}7ubmoQLO4LA$8=T{jCOV*>#Lu_eR0%mL_~uhIDQJB9Ps1S(T}V|a
zeVuKhjO+~kJNI3pAYP_d=36Ox;BWC|?k80RO-DOf_2p8K*H-nI!H_<jv2YMR%dd*;
z+iF}F^C{>$?X^#Ut^u?z9?L$`t%@x4PEb%d1v%FRha@E$LJ!+#=gLqbG8&IAKx7KC
zUE-L$_{#`#?^^AtW>7-|CLdOA9ne6_MHe|_3^7nBD0pCZPz}{=p3FMDK}Kif<K~17
z0CcIMPn~b7p=jTgQmO+9c}(T6*}VtojTXPNd{qtk>E(xex)YIAx8&&xGZW}PVqnl`
ztA>=b3dcuvR1o`zq6(%bCUClp?WM<0BC>cCG_5_Mh^DHds@axJAdY#yCE1RM)bjXt
zZ$%PN>g~p!LL&ViXXfU~#HgZg&i%yKDso6YVdL+1b2@nau?%0$RzWe*%4Vz;Qt0ZL
z2P7Q}I_S?`btI=LBhgQ0p>cb~&@h|lf*Fkt+0}pEc%4;38P$U_T~@+~=hmWr8z&u7
z{WWJYj1^H(Y@%XeE<Z9*dt}kxX#!O%L|Vlf0UZe1KY4VJ3uSO%;Rj<)V3PZ=s(OVy
z`ea*8<a1#~v<8xux3LMFO{Ar*_{gENAs0*^mNBC4*iogjQGop6lP^qEWRZiRWL9F`
z20q;J_fG09fT^w_i@JU(l)>P-&iQZ|FA9sxkx>O;u~fO5c~b%fi}<g*4*$j<9-bF!
zxs5^Yo*uREJz}V6I`8|y^BJ5rb)?Fp$ruv1c^)<}5<yo|QgWS}CUB}L8JpT}40<^g
zrq+9ek(+pI{-exMeEI>KZL5h9L^T%PWsDX?tb;c9vKB`0ws-E|n64Ru4*N{u>tFoH
z=JNgcrHB!{swIr3-DChmL8U|TA$(|XJ#h~b{fYPH#}qa48$bdF;f0wa4~mj0;(d5|
z6z`B^nfvX&6CBuIJ7#WjBJkNIbS!Ed_tR~7(OIq!hLa?wj(K*3(|+&=OHJWBE>wm3
zbLc||V^86RG8@W_Hw%%LoWY+IZdp`&>A@lXNN1k=Ea>Hh{&xd4bNIQvA8tK-rwf<X
z555|+Wkwe{jyOi&{Eh#iUM32Yb)jAKmCrRA6B@DOGr-UM!Lj|6J=;=rz)?Q4jBWRJ
zR6J=zAzWU<A7&p1J7yhNqVmP{Cov+{<7Z;IAN<8%b{S>-3f6{3kCBiX4o38$LOs&t
z>nh$O%BtBmqXiB}<Cz}hGoY?rscTgl8~DM1=9^O|wBWa8gX^Ln1KM{o@U(B%7QPU%
z>8L+JgU?(~_%7{dKsrnFAEd+>Q1YBtd$k`8*c*%`91k;~G3GzKKY|z$^~j`-&mSrT
zbtJj|iDp1qhj-U03~om&NA4)QT%kf?Yyr`*n*qrfUkY*bWJc11Vs?pqRHztUwRbaN
zL{7$n<`P>hD2{tjSUp!0C>(-Uhu<?I@BeUf|0*^ldirMUE@MsDOH6rF61W}p8VI)s
z#&95y4%RD-eH19;ugqK2W<oio@AqGi;6gHU$13Ch-EEJ(tucDy%;?$Ao^a!A9`xw*
zaD;{u1z7g|9JG{XL6Tkpw@T0Op}4_Q`c`=wkm28DXkyBW+A%qY*<yag=qj(9z^MUI
znFN<>QEbTAVpqo)gCI&gSGCN2Ssg?TuOvNNWJiA@t~*x-2qAla{?ghtGK7AT`CNO0
z6ZM+f|GBs-jK&H(MP5ge;m=7Cn{tdBg%uR#yFU^^yg!1EM=6qF!jABHPM#N4QIr)z
z0>sdZvR$mtI!W-tf-&KI8XpQyu+&0s5(r!H>QG7|f#lXM5w%)=v{)O1wgRP4*LjaB
zF+UP4_kTPwJTHJ03tw@RJdr_3zrOB~I7osv3*#S4W<n^B<N1$qW;q0-PnX4xk-(BE
zvg}EPFk*{QH9l%BkM@Pz+xy%mLESMuQ3Xr{3H)C1j?N~ayPqYso4ZL+E4v`GcU%-H
zKCUZ><yJ(dv=ZB6mSnj5X^gX{L>$cp+!P(YrGz+?kIugtCIkJs{hJ?2l4xdmHBCTR
z1qsy~6gL#B!*kn>JkE4!)aLv>>_(v~>b7mFJ725;uOHLf65M3bExko)drLL6`#*`M
zjnfp+tI3^?xG0D0!<d4nM@T59TP;q2q6vO4DvdRA<x$)15AM?E)zNhs_UwDyRG{x=
z$tCv?kZ<b8Q*T!_kgP_S35ACS<R~>AOMXR^wfWtBu9$*iTt5%rrE0;FGNyXaRta&3
zHy=G{t%=knr~JGwXv2ld>yIoVl+mO4YCp*)O=Rhj#fOG<fJZW-<9E3VYT?xQ<s?f*
zT`V(2KYjGTj>kvPrCk*{Qgn0o+fdP>lz-JWj-8OeHU9K@Hxb=ZH%wEbQ&Ev81A(E|
z0Ir-cy#KRK4P7qtDml5OiB#HA_%nYaNG@8b&$viJ2~}E0m%}tsW8dbCoFoP!b1}a}
z*vaTRYxlLtHx%@N%fU7EAi$hNTwa1Z89mcxIdCyu16{7>XlfEQfhQu4&R@@yQUCP@
zcXJCex`8JVPv9nCZ@ts|{XR0{FZDjw@Q{e;_3HIIt?8hom9&~MOG2`8nRmo-W#nJd
zV-{FRhg$u!>LRuz6yZ>JR=G|A`6B)AYnybqC3x`q@sn!kM#hQ_sY(t>bs7H6Q!<5_
zt46!~4iS-WGG7h*O)0d~W{~omYzka=6H2^gR8gF%-_^855hU(^?NOtMDG;Wx5x#%(
z=08UC?&}pm*TNKdImYRLAGKVzH&;R`hq)&#<GD~xjN*W54jq0*@aIInP(TGFmAqG(
zOvuFKkzvVhI%sh^i^l%roY;*=M*GkjexF15#Q2m6*d9Fo$|hY7y~<9j%t@KUJx!Ta
zo`#!1ybTJz%`c1cM=I^Voao1+5XN9EU;+*$?w6X?q!3s{Iq92b<Kkirw4DzDPS_ab
zA8-~&oL6HSE7m(OzQ8K$JTky>uhw(YMIz{pux!Z}%^_@+Tyt<W7=r@`Lod3k3nN~#
z{cfLAqu9~l`&VL8jbZeOfpyHF0D5xAPibGt1h%v4lDo?*Be>ie+j{2>AKI8?eJkiV
zg<;R%-6KvK!sRa=y;{ZG=$eIy39(`d<7@sV=_zRlvb`#OpJ*J2qsiy^n)DPlNjR<}
zz25*vj5piX1X+>2EZ-rYt_kd^^J!+wyE{S9F$UgPF`@h|gXR&AaqPu&yV8<geP|mG
z4vhN5fbQ_U+L1f)6XVTfzb5oA?{hk`Uo1D?!gp<nMlmN2V{RF@f2*I<gBKZGooZfd
zc(tvvQj6>mrp)dXTGgTp#CzoZ$JqbkqWq*@WcwYHJ0-d6n2Ihe5LI41kX*#=Y`eM|
zJ$o=+t@>@NkvgEQwGmu!_cz`zVVu7^y%W2oy7E<TMjL{=YW8e9K8OG1hz#dk{fO<e
zq-IY!YeQsqC-I};FWfXzs9aO&EmoYqd~N8h7R0RipXwW*z{OaHPoBJ7iw%!VCC=z-
zK~yg(>964!&Mt7^>OPJfZ17#S{?t<%EZth&cbnlS-k2Ud6_TBd4~^}=SD{RUGk!dR
z_f&`Rt-k<PK&iiy@})A*@aXrA{K~mh2-iHs`>0?DR~#jIKUqh(=kA(9WhE+@zxXtr
z6g-Gi{#x1}DR_rx<llXh_Cym-brI~22oK=SzdzNiDz@V9zn*{WN!5f|^-tjgRo`*r
zQA_0#lMcMmCDGBpjsm*0lh!?reYo3Sx6`*zbm85=tn<)@0<)9W6Y)FyaM!t`C8>!$
z_?3$*(yg@`5GkAyt;ODlyJr$yH=DlU8|#uO2Y;x8E5-FhmRcVk3To^-1PAa-g!qxy
zeCqIUxM9^cqYpn+StwLtG=x93I;1~nMuxGA646r5-|-h~j*;EW!?>-e>qvYk2?}3+
zwX$>R$6cHFayCXs@CuuG*P1#tIJj$T&?##G|21@9&~<bauX2@h&|y@AV+87J-;_c8
z%GYy>ZtN5IZGY9lIU6GAi#e5<g%9E92JWPx{Zlxv8UFH9x+>Uh3>Asp`GH${hB2nJ
z|H5;tZ-&;*s6fM`BgY+H5942L0xXM7=J2vvtF^}#DiGY-YxY_4Cq8$-^AS_+JnlQJ
zS$ic{8KP_`FS)Wt@%2Xj{Rxf>xP@`RB_lRv;F+I!FySzc?|j|j;V-a=$CK|b_5>(F
zq@AhR59%adtITwgePanPwk=E9+ouQu4Yx0>TTJ5)Qci8AA}jdX6?FgEZbhKN=|i8B
zX7Ip*@sPlOe!q60(VDYC0lo`7nCpm}!+p%0vX9Sg;0{_}0s=7wc=@?cqUi5Dp4J~M
z_rYx&I)ALuf(;RX>%zMK+v^KBlkZeQ_!t9Px*7YNX%_)_YrM!E28%fBkH?sP+IFN=
zzgs%LT^`H>gZIx%FXINm*Lx|!%;@8=b)2QAJow?J7piD0`1;KZf4&>62otep-nS+P
z_uWFxXkq{M(M|N(><4y)?px~YPnQE(=F$BOtebdEN?y<*8!l8mxq5d6<RJ9PQ{_DG
zZ7Aj(v$;Dr@4wtCbU}1Z7VfteH~If&Kq(dBzg}_jqdFO;#uxdrP(4);fBVsPG{<3C
zdZ<PKB@f0^iGH%+_HH$V{~9x@@QcVZjT1t@-{ht&7{~&Po=dh{0xOCxE0*#|*?}Zn
zw~lU!$$}<c8KB<HjvB>7JKnX6BCuACzRxBL?=p?ulAO2@;mWZ3JyQvk#&uvdjYAf+
z?lhau3-cn!zrBWYb5f{e<x;gHK^7F%%Y_5E`BCj<m9uRpWl@Vny;+-+EXcGJDc-FV
zK<TZN${Q^5sFca`=|F)jtm*Y7Ti*~u-LqADhY<n&+BNcxBrgZ|4%#Lkxw-@S1@x}p
z&QwI9=bw(cHp;=H#yhU3ibRpESK=c5fil|8WtYAqQyyYMc5TaMkwCAEefiJStD+dA
z=xnKS0$fk!e0erO3S~WLmFZ+4p_5VOCR8p(V0d!#jo!c9v~#Qc>04KIR1;K_G*_hr
z4GpcK-yX;z<7LsVA08B>+%kGFxK0I17u%ZOs1uM>E~oXOR83TV>DuW|q8dEqE#`CW
zP(V9L=JSu6s7P*5rC5?(9SE`E{$V$i5Z^1sD$8*is__*m7cZrN3eh9e*jxqKGG4KC
zozz0I9e&e-=~P%a{3YZj3lY5=?D^h^Ya>Pq-;0!bEl{%*e8_~<knc_2=3!?YWUj<3
z_)$(5nBIb!%rP>u`Y$%;PL>YhFo>9*EY*jyq_vP;W9q0jllJ>-j1C(9KKUxq-4NnG
z*=p~SprC`<M{xqT4iZ`p2yPd};N79(dwa4dC@!{-*<C^#9g1aJy*LCgx}@gAw@E=R
z<71rCH8k{w$qY5g(&5;&`Y4;4CNlEc+uks(iC#2@C`lTcf}vD3xtO4dy585O&L(Rh
zH)b}Tze;8xpw(5m`jdi2pDPate<Px6#%+G8J!a5tjR)aD6vX)3)neC>BD(x8J!8V!
z9D4TYQ1tF;paMlP8a6761a4GcF%L5b#rx9Z*a{g%3f0IRpo^mS@k*gJ=gr~e#p0pe
zyd>mYGPQr?FAw@q>Gw#EZVs;;#%mR4RngHcd5f*SO<YeIb{zg;2Dj|&OIQn)QN;Ba
z+eVdk{N2$A`t(sV*!Li7;=n#d<QkJ)(@`{!U4Iu}S=wm|R*x5t<gUu28w%$B-kA*G
z{B8V&nXV}WOiZ6*E|f(Nuep|29A^X3L+;7Z$#f{QzF_-uKoYr}U@t8_%MFazM}~5j
zOrR@aZ&!PkC?Z%X&ILyD!T$gN0RR6Kmv=ms?;FSMk$vpF9p~V1j$@DKgNjfQQd;;X
zv?!!9Ly?h&L`yW3N~MyP^Q2G|iBQRCiiSNBe&_e+ef@F2p6j{q`}(}!8kJgFDr=mu
zgGW}s<B}X%(cs8ZCS`Erm^M|V4k)N_IHNc&O%Bh;eA$#jL1#drNsBeGaMhFNcQwSw
zKcjvs^Me%3{(9UT5K7=@uf_~9C_u{E>-##$%c6XEV%UD0BeHy4(sWPEah!#>%`B(L
zBE_q0Hao=u1&W&&R7Z|+ME&A8`J)v07T?`%f5{&APj>Q37k}eaUt#^ysH0%Za{C0e
z4m&)mUH|5-$O}%1V)HM9JPIyU(T>l_+QG$o{$)VRYr@{;#`9Al6ja^gJ@tHzEyCo(
zvUCr9B|6-r<uXCRskxNMr0X^~NZc>cFCQYFHo9~t(I`mI#8D3s8x%ZZYX6xZC+ZvY
z!h3Wn*tvn)v}cPobPf0eYFqviYE%3lby*Y?8e3KGX}3a9xJO5=)jaX{!a$<(N(yf1
zXc&BOv%+PUvAt_cc%d3OOcgsq!OImAL+&+}@R*Nf3GC;`0_Not-#$|iNfmTF>}(0k
zl}TIrJOr^Le4*s(<+6}+@ohc$!UEr=kL~uI6GD6i-+y0QWih+|(Ug(D1-^PIP_@pB
zpeDED*w_v^ylOJ)PaI^U#Xw3V1`CkA+^L|CCJ%R~lbkaL*wFATPni86hP`7?D7^pV
zQ89dV<gOtb&Jk{pf9#b&K&7<L#eM~ZPs%cc-<ad(OE1+KZ7Fn(y&KmUQbZYgPJd1@
zN8KB1(fZBOxVC-u(gze}#MR{|+_W>tMc0oDTRdezee|>FzLyF*DYr+y{bPZm{B&%{
znu4G2`At2`RIy@J?1WrB3$DLi-CN9Laf530X`iM#mfhOy*L{+OHVXyDn1vj27O4i=
z-PAyW#oMge-7H+~FR!_|L>?E6BN<{0Ef_6JU%fDx1<etcY13^ANUfFqMwijX_nGw8
zQ~oTRefW?sv{(^yzPb~icyw@nM(jF&01M%b2$%Y<gc#N}o@M`ZaF%{1@bG39c=~xR
zopw~ggOf!fG(J6)nZ>;h&1B*BV354&WmOC<dUTc}t&eTKrJo-@V8LY#b5WYEI+mDk
z_}i{;0ByI-{2Fe*=MTT<e7T_kxoz?D1&&la)BXFq%-bBEf|ojl4YW|Fy!3XmzajY6
z6)idRz#P#^XEP`>T9{~buyx-`Lzgl2=sIgQ(uX!y)W6k6VQ{wgk61cNr%o^%8rk?(
zHM%19jt-W7{<S(I+6a=@r+Vly7D#q#u;4$g3u?jD+7oMxVRfoOaUI(deG6aAbw=wU
zs;Ot=puP#nkX_d<h*+W0FaGh6mp;S_him>cnqVN0J(M+Mg}CGsH7(qJsI45z#3BZ|
z^T%51e^}$}*G*wXe+=*;HJVwF%|K%40eih+8wf4ruuaRTD0n%!pIOL&M}N_Q1U@?q
zE^=3=c^g9XbxJ|VCI%jinOta8vWMG8BM!6I5c6BT+Aj~8Anh`R<IHft<V?Aox(^K-
zr4tMuS(?D`<lK`?dq?<K7uOhEqQU)2agV62G2DWE-NhXU$lSNMXVgwZUQ)=W);T(I
z&q;m1BnPlO%UXJRX^46Dsb43X28YF?n%5G5YR;}d)6Zxq&>vKfAEaWzpXNES4&b!t
zyuEh{4IL}$lf4WLP!eUN*rDMBzD2*p`ju(8I$db7Xt^F9`TFU$`8dJ+Rn5UqIfjrs
z_Ir8YHXS_eaL&w%aYA_UE6vS)RG1gMdSaQYg|Pn8w@ztJ2specFIkBS5kbaSNU}P-
zyIndyB|D)iO0%xs$^gsV6oMq=RM2op#j9_t6FBQnJat*94_{wjj|<%Q$R1KumUef-
znzu*!)Lppu^3Jh*0Z}>pTW2!7N5u(Gehim~+UUac$XpI5P6oMqb648;0{fq~-XAs6
zL8do3FPSchiKA|*VQ0Ag>NYn}HMOC-_NU%)&H}uqDbRoV0Kskn<aY%vT+2!dZ#XFo
zHHMu{iXgBzvUHcYi3X%a9`C*`DTsz1ve}P2=g(ekuS#-K!%$Iyd5a`J`h7R-@ZmVZ
z;KZfc_y`qzDk1a|a(MA!F6fDryd%CEriHsaP=d?z^&ThUd9du?V`cNr4zSAB?^f1R
z#8hVV$hFh+M3&CRNKw)r>nHb=ZYh^XExb%p2j_@}nm+X-iuMo|u8JL4Er&JM7cGUF
z=7?MJo+}RSu)|!^I-wf|vRK#CGRHKXC%#YD`6e~l!g=|pb*tnkSY7)3%A0@lgw)s<
zh4&0wlon22GSrcQ?Uml1nqxe$K9Mx``KS$2`2s#^ESJW{WoF&Wy?Nm<6?Fa0Uu*ob
zbSPC}OM#ZUb!?u=2MxAo?W;}J2+-<fujZEo;ch1Vi^-2`J46qRa&sYS!!+S9DuKQ&
zmn0pR3E<3zg3oI`te|YS)O3%FI6{OM>WJ<agf6{1N$Z&<?$_3G9B+uh_lMaMtG7Z}
zx>#Az&&d+cvtZ=oE{4?ExRP*35zJhP5R!dr0lRXZRfQBWJjz@n-baceH}q4^t|b<D
za7OtmTSyGly>0Zcbz&&rv@`Zx8ymt`&WPsfa_e2r)r7nRrY-MR+}p^;!RCULwc%or
z;vs}31|;!q)sw`5X>*LIE)zM^E{4S$69&F)mxj@i9XBHK%+X9#W}e<Gju^Lu-he$a
z7>c$P$zYpf2H`h{^(2rqs?2xcI0da_>7AtaEQDp#R>lcRqT}t<8R=SC9L&1^<;DRP
z)JVtvwc=8c?p<R#CnAr+{U(Q#ZCDsdfBE8{nl!Qsn*^GJ6>zMgIdJnR6CL7ts<HLb
z$a}ovWN)h?Xal<B)Ey?~D!NAn4#?n7cz{;&I%S+uY?*INWJ3JCOpwlM3XUnppX}mM
zML+9S&M9vu76<(C4{(x2WtZdVc(oc*C=XSw8BA2Pb-pDCIlK&O@y{sGfKx|qL5@5V
zkINhqLww|+V!%2+y;uuUJ$LIah%nK%cH>5$L<L+_z7m<UTpNA#QIr4I^P7yW?j;qW
zX<t=b5~2g`>3Ff%3QTA<dKMd~C`0(8LtAWyE@G0W8Zy{S+!h`X*pj6JowD)b=1M)x
zJEcUs{>Q}b<&O-d<kS$gqe!g%w>}yYeb=41z{K`|4{b5G)p7G}0>1!*3Y7)!OU3^(
z5w%TVbYGYzbk!RI`F0qhUqQl_9l`?r>sI!o0xdX>eOr6zHVp#z^&h5wXMs5<^zYAp
zZFtE2ycs-1$D5Le3HIE4KP0u$(`>H}T3%`<(zK27U$K$zQcE@>jP^ONh|)z=Z<s^8
zqX|CVkybDku)rn0WWl2CdU%)cq<)fMfZ3lMQ8s9SV^vi$jbZvYtvu1ZS<Mt}!NGI&
zgO;e>dERwwodKSlR@kA}U<wER3+MOqSwqF+)v7B?sBo+~OuMaV2H)&uhd9PI$i9=U
zFl%6lO65_W1RFD0?%VKFZj&w4qKr<L4jIC6xah_Xh8Ys$7x#U+Y=@;iN7$CdG_3Y;
zmDim#MMkOJyU^eEV6VDpyu_T2&!@UL(T=7V5ML%gz;MKtF@>V8Vmh{c^8WXm#ej3U
zHrp_mz(@aM)A{{$+*AAWEWFbgwI_c>ejxxu<M@B_0!H|DK%afg(g*`9W!H^y0O}H-
zCgunoDc!+&7go`5b9ts#n~4+1(*`{z6?BAdW-qStq+&dI^jzBkClvnu_V@KdI_8@q
z;#zd{ar^Hazr_nD3<<jS1zw{eboIvHcLsI9L*5y-9&>_s(zW<~KMm31^}O!>JuOU1
z7OU%vI78IrYr%}DA&S{Y)<zkr<7vcS2|Xcaq;@U&w_^bnW^okxL_K9}eP{hlX~+pD
zjJtPAjOl~UDWM2$mq%NAu~O)BCu~L0KEqdfs9NdP6E9DJP*U>r{Uc7uU+m?^cUl+r
z`69CtizJacA9k>5nG@bkY!*!1q=ShA-7fZ~qVQ-~{LPKe36zEni$|E+h;M%D|L3a!
z{KBLA^U8q^=F5X3{95=OJ!>hoffpAOW~Scw0m}W(g{vN_!^|spYEE&M5RLz#S~N;v
z);u;(GE)`Qj|%JBDyN9z%|m=b)&%%fGaaO3l`(4KB9;&{PW;&+8pDWl#H&Mtk9+qk
zqM3H!cqL<$sArE9_f<RKsQR`qO;z&TIlr;Axq6uBc_?u(O2C23@5h=nW#rJ8{ky6`
zV3=rHlKZsN(;hsDF{8G*6j;Wtp^1GSB5eJQ-aja?1MP?LcpFOwo9(0mONn8kx9q!a
zX1^`ITHG3COi1B^mv-20fe~V*?6ul#dt2-eNaD|YC4r5Lbn0g`Mu~4c-fsr-Z1AvB
za@Wm%F|2sHjINYCM));nzqmJS4e`V0BOMklK-tAr$68b;h{)ULTBlc7gPwaU>};0^
z4yiUdP4rI^8%{pczENd`d!L_2Sd|Nda;&7Wp?8}2XrtWOqGN?M&&)NG?+U?les|gZ
zxf$ZWw4e_GM=Y_Uxrw6kM-U;CDZL_?BP4Rvn_UDfaWd2ROP{|WB2;CMHG1<v@k~le
zMw|t#pXg`L{1m`+xZUa3dAv|FCugaXY+U{sIrsjm0B#5?U#$PZhkt#~{q$qm;P{(7
zT5?nX&n2%YfAtnX*6SPpWz3i(z^a3H^H~8D(r8_cO@cUo@nFpQG;>_*3sS3U62Qis
zz^uezVcel^7JVpVj@xnc)eCe4Aug{U?IR@$iJFB)Rp(h)Dx3E!_k<v5_baXqbS!|U
za>vy@wk(L<$W?D<2;s|Bnb-Opaa^NG-les3=V6>cTgi7JEb*PG(|Rt6nM|jmxm`?b
z^sRnrRU?e}KL2F-IBCQM4l-@knJ`%Peyu1+1exIvtpYE}AawB8JEIq7m~Yi+``9gt
z(cOX1$nO*w4^@}5;>=)^et&(9ju;NnHs6zTl7rL!vTBaG8B*iF+6rZhV@^Nd0`ABo
z+2ym_t#77ytP;dyp(Y9I3%^>ZE{YI!d)2^>F-3M?O_9`FDR>K7Eh_$_1haFwdVAzd
zktCn@#;HphBEf3|!yl@kJ0#1FR>#1?Y$*k=FEV)Pu-r`QvKm}ANS3g;Jgy`o`{OCU
zEEeggg?3eHz}Y}6;$;{EH&R*QH|*qK7+D>)CRz)>6h(6r)-&LjCP7ol;rgLe;o8}=
z+NfD(->V(Tz~z#tPa{(bI3bmCUjKs*#vDEAzs@mmDr)A`Y?2Zx9(l%@80w*|Z{Nku
zV+^FWwqJa#qk`D2LGEp7`lwGvaO`$d6cz_|1@x(c>G?HGnd=Q@lYEsYMa@v}8%FNq
zzIPQp&N-QlhIoJIRQld1GpsV%YwdVb6Cx%XDGz$MJg$>+US!e?JTJ7*^>=Hb^nvuI
z#<fPcFl8#gKA#DO;Y0f;L)w7T<@O_O#<*k}$y)2fLe9;hr}xBku~$~})N4lu{>wbk
zl4xp<ocX6LhKU{yJo@Z$|A;9BWVBk(8?o_W{fnE=y!BBk|N8?^kQq!X^8#MDTA+A<
zb<{n^0F@5Q>W}o9q4a3wqPi4ItnXUqdH*OC`F8(o`(2oDcrxkC|K1ACA2+;kxWM%S
zo{|QyeN0TfS})?b#0HXAuk7+YPXqm0=fZu*n0OUrF%sNh3(v&|lV>vMSbUlhZ4krd
zm6*EfOg}F7dUss?x6}v<9)S}HI!v5<5XDdHbHJcZi2Bk&BUrra()&?ph9hzMtD?9$
z_0r+}e+dD`@Ln+PQ&VLM`lGoJo>1Ul)9Yc=d}Ad3-5ekK!33e!lk@K4PI%+n`6c6|
zF+yG3?hITu!YqGE0RL$x?5XfMnh|1*$|Fi*&gL|j!8K2a;tb|3mn$xlM(}$7X6O4{
z101t{S-W?OGZc1a_W$uVLXm`t+Pk;95aUFQ@sv8_(Z|vUHGAmj=`6OkQqxB6NpkGr
zGiS^u&?PQK)422Ii30DC8WM8exSG^C<8f_K-K!;rxG8x3=;v`ols#H_bLhG=%GO_<
zwBx0Me%bDrRfsIcnTISlCOKn`tNBgm^ZK9$tbDTkoFop1d7SoebVjt$vLtD1J!Hg&
zJWNX#hNa6h-T2>57?@u;?p3dY{?&S}vJt#ESO?$2V@_b))YAFpuMI5^?FF^<Q^d-U
z1BbtvIpNIs``OqYO$gI>9G*BeMC|C?WMcAyo9{QyF+!>8xVX2RkrD8PC{z61e|tSJ
z^2qFoORfsW+}wstwcZk0-Xr-3z7d#`4}1JTO$ij6ryq}ReMqP+xpQTsG{N=IOX*iz
z<uNsxdm?95DMwOn>g#W==VF!B$>2&^EU;K3!5MtQc^kPrEM}Vn?nvQhXRQq0lrqnK
z8La2*y772fQ;9tqc75a><&{QuaB9X*i5Hv~4ohRBKiXmE--?vot>U;Yy5Z!ZHFcZ|
z*{hhv>UKCE_=MkPQWOQE5i4gaNlr_!|Kq^_Z1H31(sL49gkkl0fu~-@EsmliA74qi
z4OG4;EOMp`f=7H{iJEi_p%m|@>pX7_X*Y}T22+0IdphdOl~)q}7Dub){H$@RM^j_h
zE?!_mko$0F9dXM?I^)L;E5sgYzG^ixPu#rCr++-Ug;<*-Ig%@7g@8iihmj$(!~x3p
z8mVg?gwouL(05Umn46H4m2j9L%s!Z<%JO#;R&HfkC%Y`L=j_VAnvv5)Wr@~rSL;v2
z^4BX~UFG^t^Twk$A}1z^etn%=$-BQ2?_F2s|9HU0r{wgv>CY#Ku5F}rWlcZfC>m$W
zHe-WU`TY0Yo^hh%c0j9>@=xNi*!_lxE9UUwe^MxC$*nKCBsZ7zhY0iU>`65+$F~8A
z>D0P0;>!>I1w4tv#L+R^&1*_o*j}L>b1{32IK}&W&#fh+gnzPU?iV8#Lc9`Rwxx{`
zKOLDmhYiMwF5j9$X|AUj+U~H@x;91x9Cl{zRhlFg$aKuN5=@MZ+_44EIFY-}YUd^0
zX#%n5_8Byr!ElX9ac<H$A=h2ODe{~lMg^UN_=C+bbU9>_pEg14W?1tqESM!;mp|Ut
zI>hB@hvy9j|0W2p&Ho8~7UTi{(WSNb^-ST^_4}RF^d#}YWZU$rmAqJ8WrT(e3>5e)
zt_akcCT{i^rtcy7K$U2V*D5i=GwLq`BI+-3z~x@`Hdg`U{A(5ZI%td)TZ+<Fj?NJK
zrsu8le+wc#u_R%+gE1EO)GvQiGD`?*wrtG3FATb&n(>u<Bj}n-pWKi(Pq6MuS6f^Y
zMPg8|j@J|&#+m=^%zwoLyZ?yDD-B`@Xm1{P5KPCVcy}(&@ghAyP0m|c5`5D?zsI-J
zFrqZM;JY0^WcyPhw=I*#mE#xEJ$z~C);zu2^}GP~*RF3;zb*r-)SLbS9}SV#C0b;`
z<pIi~0=l1(EQ;FebnkF|XzjtEtw(!=p>$c|ZDXSxZv1tyDv~usb$jU6qz9s~PslvD
z{D=amQIQ|qpHcCQNx8A6MhtgF7D!hmD&bRwhEB$QDvZ_Qe5(IS;C541etW(OUKHM$
zPFhWcwXWpXN^@zb#olGD?@~ki<C9xSXDWDgcX`veeyUUayZEWMCbR}#aoiVDkvC~)
zQ!zn-(a$Zs2mf*X>|}XgaS#=U>+h$yrpsYxV(mm{xDG_x8m&9eQgK_4)mvwy0K=i*
zqSC{<s8nkRIK^X#jI@KRK1wMeFg4Nj`4N50+5U>R%QnPfb0fF!3sfLIEx@XFr(&{4
zAnmFv4XHK>o9m6#ur|5)SC%pjG~R~YF*bAvzZ%ZFy;B246+Fz<f9VK1T=DTtm=TuA
z3CYDpXh9%YRX^psF&fL|l_R>05q;Hu&ikG=4A(x=w|&PzTtbna{%HnsJ-SD9rF7Bt
zruBRw_r6{eqd&6tH-pTzt$SUf^`La|*9zn1Ovo@lS%+maap^+Ri@s0#*gX?--Ji~a
zv@7M@%0Dc8YEHiV#gBUq3;(n~9N?~##{G?x*-&)tZLF^|#4TpRy|??#arD*UO~dw<
z*cjzkbJT>6Q&-xe_YRrkZ`jJT87*trtYD4)N;U#<Ik@+PCL8R(okqL#Y+>&6>|<c1
zF_dz@cUp<Eq2e4Uq;GGJ!)DaqWDPejcL|%_xyaqWF}FK)wIk%EytUq(WI#s2`_<SG
z3uzIi88<C}bGfUdWZ0(AHy!+!G{{8Q-mHp5QzvAkEOg7?Z;Cy!mwVMtnL(jWtfX1m
z87BAkPyWg<#rdW^_9gNRn9?siWVJZsneOGA&9<hv)BQM@$fM)&;Gn<YW*1br2F_=k
zVqg)Ea-eyK0S=FfxNCQ~VCip@9*G+!_*2BkHzTNvpn?QN3&n-F6S}d#G~O5$E)g3h
zvNdqL>)NJDqlMu4RKQ*#X@tj9E5FgA6w$t~dvUDNLfp@P^WkFz4S}nqgpLkNV`u9s
z)tOH&cr3Z$3U4_TS7-8EPxuPK+PACa))5zsmZysBdaDmYJUegQ!zseFc&oajkqb21
zomDJHbm8lHU8zK-m$;>_*wA~I%MZUKTSg^yz}}|pS535Y{Nt)1Z{>{lwRc!GY%Sb+
zk@QB;Ylt&$ajA3tZ7109xkvZCRRhFp0z<N<I6P$WI!A^R<W9KL)wV06e0o=?#o0Md
zx!%|7E@gn}`>fj%whAa4TQ(N4lb3u>Q`&1v17_PB+RGeeVVBx!zvcrU>3(}xkL4-?
z*OpehL?=pPE-fG?_!d7Y*A}3%Fw_w#j7-P2Q85TV+T}=96d=#_^Lh#-JD^*fzjbtj
zFm4I{u(G2Ikh}5*j_&5>Z&<SBe2qOnI92>{zWf5@^OS}#pC&svGsXKTBJ+f1{`ctn
zmHea!^~WU@emguPR7P9ZP7yp8dWm{peo|#%V;TWl2rc@<xgI(~*sZ?1BWZw->_5<Q
zj<Mec4O8oeD@_N8X_MIpGAVpy;}&u0fEH_fYabn-tm-91^rOB8=<<<et{U=$9ygbN
zRv8T(drd5QsA;;gjhD1oJ^nQ;!3tj22Ydon77#KfxAl_?c}WwOo5?%6Eb;4X@J#Q|
zdd`oqx0{T1@settq%W_NB{o>xpubY;<ah@utbD$emoyNac55oLKsx))sr^}f9EG4X
zs&*1Dd0-+q?xeB>)`Q`>{Kz+s!C35_ta4sbBv@pUmBU8Ugj>;Z_8{lydG&P4KVEW8
zMqJu<K{f<G>MdB4`G=Fza5^GCjE_A3kEhHy#T=i$Tvq)1W|-sF<ka?KjE@|-(*D(#
z-yE@H%RiiWIm(egNxt}2%unv}sy1lPU_rw<b`%fBIpU$pUCEIGWZ<Jcsh21$Z1C%o
zD?C5RIc==Hv^7YO-1ITT?CCis_IfsDJj<QtY+rnIi*c+F8RNyMFf(VuTJ-xs;{F*<
z?w;B-g$iLZ{k8eh8Lsz<PS!avvt~KTpMzW1%ZZXX-GLQWA!Zo&V2cTt&U0AtAFr#N
zTR<v!9vb8qG=u7|U-W%{cu1e?xr$f)#Yw~cRthpcrf3eiE}yQ(M;?FPe7D*`lC<Cc
z*mdk81FGk?x2CV-Clil|^IxG$lcf%?G%fiV$b0K|V((o6a!^O0w%tpHtey){joV^^
zu#U>MAgT~Kc>L=<vttyp<j~jH>>gtTR>@xRsuU*g8VCp!jmmNl@%z-eKx3TtD}1*-
zM3j8kRVtwuEl;Y~vk%JsF@jI)OW7GKG46jkHQK76NVb1qJ(0*ULjDI{VGpJR*&dmB
z^7%(4a?4D&SHGPR4jrgzeC{hnM&{Rf$~3BwIj`5-=giVkrjiyl@kW|l{c{cHbgvp|
zm$Q<zX`{oH5-y-3M<G8)?37j0(j>2{=j9x%q2qx?cvX6YEUDgDQn<ZViyY@qf1BJ$
zhm5DG-}i5FB+EE!{VQo5@=N`9zvClxB&V{o$T$Tuf9<VTnmct#r#th;ce&p)a7F0p
zCQ~I+eowYbQ@<V=%oKjS<f;)AKm6kB;Zq@x-0GA{k1`-%O*=cY7aKz$;q`3wgev*(
zWpAOVv>}<Ew2bG8j0wioRpSN3G{`6VDUJgVXru@4GPN98uIEOxymo48k+TvyU0xAJ
zWSok|?f`F7T-~O0WQm(L`DtCr$Xx>y^2_n(W}CvyK;2WaWM85V>HRDA(}hk3>F;Vh
zo9e+tUOSK4YmP2i8g6!Ev4a^ou<|Kg#g_#SR{4yus6Oe{COp|OZ${SK$%)&VYL2Kg
z(zho449E+b*_Y2;W0C`rwi>zbxOwH}*yvkKC53mcy0yZNMZR64v2@ng5}`MlW_P|A
zlAfF0ZyBFwkr(zJyJ<GU<?X>*p8_R1DgEC+t)LGqlI?eB^^&VLIICyy?-bjJENp&X
z(aEikvW%wQ$J*h400030{|uLRIF@Y~hpnv0-r4K5-`C#H^%_MbC10V0mR(7OjI1)s
zswhfEq9JJ-mFLQcQkjWFl9kMiNcjAF|92n9eV^y~W0o5GSf!<ocKl_&tT(lh<3y3@
z{5CV#b@(d%6N3gyJUq3~D5;H8AGW(jNfL0?ZE;E@M*}}}1!~*6(2zUEI{vgjfXX+`
z=z1niG(AWB@ZU{E@ojA3k|uPJb3Yc`rl^VbYBL+QYinYk@%hP|DLNeNbN%YiqKOs$
zR=kofYPidTa%myX0)loN7de%!fyJsZu7(5!!;&%_YW`V3Y10Lk{NL*6qr0#=u&RLD
zI<{)u+-3>YI`M}B*wrye`FX|fN?BZ0NNu+XvIOJHmf?+qs;GZ$kNbLYNjzWV&L0_J
z38Ac$H-av!U}^i<&DxD37<Kg?HTSS3{9$5$c3gsj8Nvbethe~^TXPJ90?iWGmM)fR
z$17pG?K&QMA_u073_KMZvVaN}dWq100ycD0`+cPtk>6Up@m7KbOs&%0-WbYbsr|rw
z)cRR+%1(3Qii`yq-)D>ekt~bS@!8538~eynQC_OXLproCK5LBWmd4U4VY*dQF_9SY
zDDRIU9Rlxx=k4bk@q}?mri)G=G2yi<y&3_03oaOJD;LAWLl@a5=0=ID0S}w**#I<N
zj(fp8ER4rmDz#i4rU|2x(@cj72$1}=Bbj5fAU?Pp^7+}o48gaX<M7j$=Ah&mb}{b@
zAD(HoH4zJ#BM$O}YsGY%0iRCwmToH^bX0DsKCd-T^me(-1TmUHaYc#OIg|BxIz!3c
zXU9CDV&;_EtZ52gwmt|POJ~Eaw_d!e_%}y1FV8o}95jK6!`x@A?OCv}g_|p2_Z*>N
z$<?<v#~210Ke5+(Fk)_T#UYE3Swh{%GMA&@2!dW-=9)`dCLa#kZP^z(L)dKO(b85k
zg5~U!MfOt*Bv0@2o!Uo#6QW%ozXqK#gb7m<_mQu&r1Z$ElcsLd#P#Y&ug^9aKzW#m
zGO=lzba6l6T<A1Kh$$@$&Z-zdpYEBZWb-l7og%Q<Q8PhI=Col#f<Ek5;_;!D4UwXh
zhOsJ!apKaUvAl(GJ!lVA(-!*noy^{%@ZI{@FJd7nG=O=J9$ZlCxk{sVlP?o}UAP5D
zi3_C_{DHN)FmggNE4!(UoLUyIemOltEN;1VU07ciydUbhaU{MYzXqR4O5_+Jmdom*
ztMBVT$`@ay?Tl6A!HkBR#e0Vd#^cXA>=kw3-O&bnNy%H};W)F9C&NR8)XtWK>-pMX
ze)Lw=N4GpevHsGvw&EcoeuU%mIeBd`lg@niL%f0rkUBUjeQ$^`_9?~bA{scFWDgdy
z)Dj<9eE7?IhX|fZjXSkkG;lKIYR(vVM@%|uHI3O06Cnae{|#1B;hVSKA&ooD#L(W3
zbNhY`6Yn*A|C!rTfn`ICS<90)qI|2`6ONh@qBQ@C@Tq57kV+>`Uc1#nxTFPC`L+Bc
zqQB)RC-!Q>SdR9yyRlt_+mzh#Xpvt;8|UNS*SIxd-1MKG%E7Nhf5Kgf&Wtf4sgz$e
z(n13QvAEZN%Qqsq=EMGsofE`G-`X(QaCMNc(k{uA`%ZLJ*JoNQP7%jn%)Rn>r3MD<
z-uDMe`iZ*M!wZ=f(?mU~Ew93?2JRas*2~xr5Rn}YJwKv<6Vji5WF6eD3I)z>QMT+u
zgn&EkNZ!Z{0lu%y7;{v>(}1<W>)S9<$ap8X;`AKxl|I!wKTCll@b+qc*H0oW!mK=+
z`iF3q)kgCj6etopU}5*~7g2CZ)xJ?|k+8c+Io?&O46PR&4VmmFh?MU(*T3s85sQLe
z-5-UO;jgUk$4;*)!s>%~efGs=!ncW%r4_9N4CK!gmxgJ=WRO8gpO*o)YYD^&&nQC0
z-ko^?HZz3zN_?Su7$dY>QA_T5D?*^jiKv#bS;FN#qhm5RGdOf96v_@Mz~JeE)w31z
zgmd>#5NKe5$ngm8YA*%w(O<dv?ePM!!I|>+(?eFMwp#ygWLh4A|9IC_^!z0RhFR}B
zzh#GGgTpsCqUE7JZiRCTu}tKKq&`RyTMwak>}txy<iSu)LEENhl{n`4cBT6^H-y3y
zqk9!{(9Eggyttnc9G@nPtvBX{jrt|~Y7WT3uG_g1T(eA2+F@00Q^yC#!na)$6P5!D
zy5VrjBNiA+Q!Zx?7JxasyOoTeWMQc;=|tRhR+#2Krq%SH5ct@BkeA4lg>dd;GuF@9
zp-y<B;>ZCJh<s?xu|G@}R*1nVf7bQDyCbGGCr=D4izol6dCLM>*c&sJ$_>pYKDs)H
zYy_i+_O}oC$U?gM$@f7Tys&wpG+Do13i7)S&mNDF1<I1Z{n4j<@MHgkr^^=^z?H~1
z{^hc8S&mIM!9xI|%<Nlt2FSq!N483>4RY}D4PW{?eIa<6bI2`7MFDuPjBGlTC<m>a
zqRErGB0xRBx5~?`1g*1eg|~F%K|WdgLbAIU2u3FbdoL@4$+Ok8a6ScSb9zEAt(1Uu
zsttlCgjIo6Jc%JhT@lzOriwkSq(CKg^PK$_bx2iv*|w6T1nf=}o1O?6NUZ+8vEz~^
zlou}CRR9X)7dMP#|CWU_4ZAM|2U6ih@}&z~>{Ov{!pQY)s5~U=Um0Y}roqWo#s9)c
zb$Fvw!xJK+2&2QM>K|We!<Sf5q4*pvxT177-14;&+zj8m;?SrAYNrZMehZ;Nxp=d|
z{0RyiFdBaJyIdCv`yV+|-E_dZ>T;~Bf+}!V{Ch?T)&r&<2eTjHdQeg9T}f$F1C_E&
zn%SZrByjDam^T|hdOCB?vWo@~?P;Ul>iVF-Vv*6b)ffue|HOZ&(*%Dr*Q_9BeF(k%
zW5?e<Qz+Zfn{wu#7Cg8msq`#R4}`@=m}El<NYcEvek6zrTFIM)n1Xd-cN*ngI|Cge
z?lxHVHBcdHC~r#?zYcJ08f2PRw*c3&?$iUns6Z_~d-04N4V3?NYyQ@?goU94&gtD$
z*k*jLj{meKG#~jMk<D!d*Zqg(*sf85wsNX_W=I7VL`55z9$G<vn)LHgSt_^(yzZA$
zRD@rfYe{<{Yj75o@Mrz239Q!!xMRI!z+1khL6~k0<Ibj)=l5$sIfu7w<{J_CdHcFl
zuf8>?+jZ+4iBy9)0S@mkvl}3MX*NoJ#R|6Gsm%*Gt^zUPMS>+(44^}$HjCw2L2BQz
z3vUT!XwR##FUs#BzIOy#`Y2h!w_YySk`)DD*`LJR)G$iE>@?d%%d!N6tqccmzL0|!
zw>*<D-W8H-@J5&evn9xUOfvltEdyZ#^+LlD>rmwklaQj91qg{yUv<9N2*1nvwnRH}
zqQh~<A<qwV_}Cn<`^X(pNT&p*O1<aC?r)2)59`xmG<U~4g-?PYe<uCpD*;}-{$tKU
z=QaQ{zuJ2S8$P(r7TJ^C!i(%ZU7oYz04%!Mu4Zgp@Z_dq<!NI+v`u{|X+|aBqwiHa
zE?!pPH`CBiIn0MmxjR!ljLhNgi(@KLg$xj!6X8{Jh!00ev-h~e3<l~~#xBPFAs*yp
zo@}<^L!QnDJ5Qc6g|^OX_e8_SiTrae`|Bk6uvLbAU0|UJ{L`9^R14@Pe7$UcogU}K
zoY(u;mG&F2h0%?d`9%rjUdEF#7f4=w*V0#@p<)ad7t<)-5?{!`?CF92OkVVy)0|`r
zF@n(m<*&(JBV;Uh$)Bl6UQF8PaXO^M5c0DI@_+7_CNl!A*{=`g#dUMe!Cz^Hz<EbA
zRbhILTnhUjelLm_Z*Hc4y_;zO|8?5GHKP0__q%_q$<E=$yUXABgV+t=bk8n(4fYjM
z-u*_UaT_nPR35l66Rr<~wL+hJni-JN&+<NO?Ou`1Kh=lU{?nc+z68x^CXCVWwU<B3
zhiRpWB5GlJaJV+Dks{54m#>;z)GzR%VugS6BNjb4dvMo?bICf~Em>_gmdKBtD`_L4
zmvzD6>$9|aJvMY{PFlyUFMtPKtYmLcbm25ZDAT`6cKk9BYgO=90H5Ds;?%FzfptrF
zw(whWqHyf|Fs(}vgB=5TB97?5Cw(7Eb?bT@439c&)+&UlWZzT;j}9>8gbn!|<;JFU
z5hDK$3FDD;{Zu+?!*h`@jT^;z(4(OAC8w|`N;5I>L<Vbv*QXQC&3?QXoL0m+?jeSJ
z@imk=Lv7g2XZOh5i4R3w&nrc|6UW#H&oX@`ZTPx9Om=w(KX%WwRVnS*h*Q2NY=5`Y
zz%Gm$nc^gX_Nqa?iZhaUuBzki#3LH?oH^OP=eQuUC6xUPc_NLQ>(^;<XVIX4A>_cN
zOd;H`Tdn_agAA%|qGfJLra|?qmH_)t!pJSUpFyck76s?8=#wcl7}#4E=c6EsPBOb|
zZJOjzvw>+UJBJ31amQOD;>2)&Y_eSWpgc-%c5a}NG#IpyztFiNj=vKze~?uXnPd(_
z*CY+@rF~I5n79$+d^%4(qAFq8aQ?!Iwl-Y091gysB8C0eheCF^D`VKD{?8i{wW0Xv
z@hr!+T@Z3o@`3gx3ZBIJKS$=Zp(oq<*YrmjygOO5ZS1uQVyw^|%Mcy-GqxP;Rwj$S
zj2FrkMpaQL?9=)}0bS_2|8t0bTMi{Sg(Ol~)G=W5Z9Tm=x={A#pN(IJJU;)*aBrGJ
z17n{F+lZ&>!KQ%%J@t46lxZJrf!`XK`0_MMSD-#<EbVEt3Q|PtCVG6^Q%x+nc-BSP
z-vG98XTO?qQ$qj3C!<eowD2^AyRUw&&owVl8OP0((KDuKR`9kK3abZr`ehoy%*`kI
zDO?oX<j1Gq@mdSn4u=mG)*3^ZQK`(x8w#eq+i6U@riGk)<%A~ZO~9I-BrxNtf^~lT
zZQSLxF!!XlQ?-g2NVSc2HIJ&GM51*FcxYn!gT=|d|IC4{&24~lt11>djC-^=Xkhf?
z3)Mw|1UOr+-tUT4#nh}MkFbAg_;_(J2F(B-g5G`4bXDAN#LtxPh$?nHn#`a+0kB93
zxXBT!iW28j1&?J>P*JEBWkl#em*=D%)>FmPjbnFu3Y9R^v~i!6CmpI&PK`#^so?#N
zZ#I-H1$5V+$y3RvL%7PV!AcDkT-+Q}mk}d}g3et_HuZF%T0Rvm3ZP)VpA73zfDCq5
z$ZuWgpabibVV<sZWlWl~8^D2$c-*US$I(_g$f&>Amy@G}nkOD+y2^;5%>_YE*B5lS
zVzZ7`enk<r&l&{w6bYf?=10~mm+4U1$asl0Q~^yi?f*%~@#F8z#R76a9h7=c2W)qe
z$4utWBd-#8uvp^jSt%(xjI~s1{G-WXxlMIk)EiDLjC#=&*$&WiEpcLzOBN@*<LWlQ
zW<`_W^XcNT0Dh0}_b9Es&({Fwm;;#c?R`O`9!-F+Nxg9&OC<3fwKeZX0|TZk!n(d<
z0=Tz!devu1ppqox;<|uklE-&Xq}zfyC<o7aWZn|Pn|$RSjP8F)ryBOLBNpZmGHl(F
z`d$PxJzw_3nJ$n`5&JCeTr`8@d36?jBEl%-#V>3<G*4bIQt9&TGzF)U+a+(#3nFzY
zZJRkUPyV`5zx9@qDVVMDN|lKT;N9F##Z&6@q%Oz8wxu8wu)h>~@N6?5c9;eoGRl}I
z1@62H`t{xz?85i%^t;E4KPUgjntS~rgV|LpYZQ&)^A@AY_H8_P<mJ41T-pL@NekIt
z7HtF!5`RBgpXWxW)DH=IEPu&2Og#aEKMbMjkl={&%6eQ<uRpov*%HYdbyUvX)(`?x
z3u3oE;zXqfvAX+jER$V%w@qkI3?SosYs={y9H`0_>%9BPDmj-PvT47p0c2h-VT^jo
zjv_~2i}Nfo;7XME)?b(PK`plVk>>_>JXv>TnMPy6V{Bf-Upe)`WB8k)TM8SVdRNa<
z63UE!4XVByo!5g*C8r0yrflf>kteq93k#Omzdgjoss}+a_dV_ivY~`%+KH|9tmt<>
zhV5XYE@+tPMl`LR|0yz{rF>z-5yPu5cdqe7<b3qj7ba}TY|F4^YXk?r@)584ovQ;%
zDI<3%@oebF@C-9d*CV6Q$8(-KI*?SIDyX{1h6N4-XF5f=F-j<+x9goY{1!NLMJbsb
zlXGtAz2xUXvNTRK+*2Erc9d0o-o$~~YNVmyHD0vjEbva@&<4f`uE9<6oTwTzusf@Q
z50!<}BKEFvUb$-K%Uk*N*jetDoifRfsv++!jooOlvhuxf#fA%=l9@+yO$1Rf=<moC
z0UGEAm^^)RnH%fgXmUsA2;rl=<1)h^sgQo%WeV2upvKmN0fQSwQ1tB9%-3mD_+9$W
z$-|x(Yo{yI1D=Uu?$pYI_xq?YvFTvUFqIFzDn}kX@exOHdY^G4b*(%3>HpSI_>rPi
zduxOFMpW_K5SP7y3chTiSF-d3klQ6W_cm1u<(q^|;wQA=k<rGqb1s6&|HL;lS5^jl
zHaEVh{j3F&V!thNt_tC{>;60<CbAf*wb?SNTMMRN#!K8E7e;!Ke@NmXIZS$d)HrLc
zo0t0URd03`#n}%pS`KB)qft@HQweD*baZ7r=pGV7vD%g+2?GlFU(=4AKXy_fAn{#w
zc%lRn1$X^)4V93x@0xw^S_eyYZGY6YSrWsAXGA}*aVVzd>&NO@DqI19E*>dq6m)uW
zV|sDTN44dZ54~v6i7^ok=VWj=yL#)mn<_e%^Vvwu(?B||9+u9_B73w>;@{V5DDq37
z?8!}S@XmehI+nWTQJ27*e?&EKi`)LNwu3qlm>oCbkSC8$>-$wa_i3U;z_A>MO}cP-
zp#PZpGX>n-&l?>Pt%Vjp<;`|%(t}+c{(2m56>;~yy0fZ4#mUpzHS-7b!CmSH#i3IP
z(<0Q*NZqF5(Un`dM3w<OoY-K%)T@k@a{fD&MyVJvwln_Kh#@>TV2gKer{KGN&f6|>
z&@lHUBYE1^7|wIDlo>u#L0|smv)fjvsF8Zk?8`F~5b=|LAb3U<U&huIU8$v_Z}Az^
zFN$Wc*w!19uu%;I`W_#%bfIF_9?F1DsyUR|Og3H4P{XLLK5X|Qw9tUurZhB4Kq1HM
z{(t>ym}knkv~x@Yb!v9M8%YPq@UsYev8;xk=W3#5*wpb!sLZc&1v*^6SH)*PpoRw{
zI%R1+D)<z3*T2uEL*jUl%0jvtmbDa^X+$cc5jOR5uFyeFWwowDKn;a#IuiddD`M7o
zYD<cx1uSyM1blN>#l@$_HzdR5Fst4};*Gxrh@HznbU#W3_dUDQleQv_;J~Hn5^e$N
z+$E7JVH7MUmg3$UNZ{qmd*(Krw1DP{guTXllu?%X&iy^r!uTQDU?SAf0`>}?J!>hh
zgsx*eH|3x3V|&z_6qL1qm4TMry7vmWTT$TasOAQIXjPYB_>B(lUspS>o|4CHj<YKL
zqipD^K^rkjrGto8`=$Jia_I0`!+LWT6CNxpPwO|J!-uUWT5{gVU?i*UJl*pjxqnai
z^n544w~0kD?%z_ll=4PV$8L_yO3-=Md<x);Pea-Cv5nZncYufQ%p~a%*-`Go3n1+y
zI=qit9If?C-8lJ&$;RU|GwO~694PZsVr>$^UA)^*erEYjwm5e#ZI3qx2hO6OqUA!!
z)$96rV6uxmdf}FBO_dq&Ebi>^dMAK9#Pe#<{6yN6|F$b#FonNavg_}%@}uvJZuSrL
zHqv&oI^?syDX1wVCFQSm@4qR5-2q41$n;z%YDtI*+`9iV?BhH)ejndo9O3nel;wS!
zcjC1%#8%A2t{zyAvA%mwFSK@&jJ}s6OgF6UmkddLWpNJda1|aJ+TBAAyvq5);cf)}
z5?mp|qHK8l=K5tHm+#~Yk-rTM&kaGYF1W<WX&uIEShZeo9Uu?%4%zPKH-y>^m(F=~
zFk|6=OErx7!{lA=Ch7Yp3_y`}tLdX8CS+$fEmsu(MOqyh+K}>DAGlW%6Q)8K5fvA;
zDqc>In>hIAM?oK+HXEN<ca;IPCd2niSWJ@(v?pTuC3=wLeEFnR^(u+?YqoDRm?1si
zj}2tW=)vO&7yg{PD`eO0(aAGrbL4b-uOpeE3m3Poo*L{~COaPxqCUI-kPHc@be4H_
zVMArd(R}A+a&sP6J!|YDNl|}dx+z5m_`_p)<we(eB3bpd&f6ujiDpMn<<kLwv$?CM
zgqBIAfc$mgDl25BPxG!%SGD1wQ3U6a?aL%PI;@X!WWc5W(l`X=v?1NP%sm8`$@%Rm
z8*~a8@r4Mz!@iUTPUFXa412GTtQ&hn4{$MKFl$a+ngtCm+De#QwOu7=7m6qy2`m^O
zqB%6&Nri^@rZ$OM3`n<5pS~c=idAx7&Uyt>A^E}B+0CCA@IoNLTHe8iPreT4QTeHm
zNV{X<oxzAfCBJ^x7O(k~A)5Dtj~3+W4wU5uGGUT;!TheG_4ut$>e8u7O?b-hK^ga7
z^ZLQ-DrWDvagGq+Xcy3gq=8NHspnZRuk%!3Jr^%3{^wZ}9;5+A=BFMDk?Zh7iqdG^
zHa`4R`L~)fqz?AUDFJq3Y<Rt3oBOUJejM?5Bmc-<9dc6Rx7c1~M@_qi$FHOWF>Be!
zQF=rT;xmq)cQN6_E)(Lo$1@?^Ppqdt3|E6g8FFvA*}2dv(Ze9mUj!d%mN0h8seu4h
zAwZE~1I8({?&`7?!;;pE{{MBULbUX^P8$JUJaCbS*uG5yyBm^KXtz{B$iL{VHo=E{
zZllq{L6Z1Ses0HyXjPE>cVhJ5Iezrp{!4YSQ5xSAD$P!uQH6lf1fyfa0{AGgu3uhB
z7MGYEZ5onQfpL6iN!Jk}{JS(;>=-78MT{2b8LL%c;lZn&?CV7EYRi#EzY%$4tokKP
zimE|`s)oEujVSJ$dhcHBt%!a~(-OC?ssU+N{Z1%f961k&y*#&~g!V^8OY1GwLE+Fn
zIj#JS_@6_e^x*;u9txx%E0NQH7<2uP)EX&tWV7}P*rSRzSzA_Qj5Xn(;vch>C>eY{
zpDt>{ua4prljP+TEvU<zzpVL47QI6*o~!tvfm$#3EX-b^0_$PVF^_RMWO?HK>0+c7
zCI}4jpFB?kKDYRA23-X_!C8CZehL+*XKwf%TJ!0xix%ByqZDzMM4Pqob{eK-E4IJt
z(E*z{yW7?+O89)tNk?LqhD<Fd{A8{4;J(Y2(kqe_%(Z2AC=S-f(1W=SeoguiD*!n_
z#=l&D;DVb9-fW2p7-`kUA18&w>_ZLVmb_bzaf&Jy9v2K*UDQT<$F?6UU<}_Mk1~C|
zrG~SyUwJnUY2)dhJ7+hDta0zv=V7%g>i7`0h}xuS<MYjiJFiTeL5bl9>hSKhJ*McK
z=(s?`#+(CPdDR4%c-=XF<c9`Uk5GeeO3+ZhVD?DTt2I7Pr5v}_*2L07c9C4GT3GwC
zV0HW)9WMVaHjp&eL{|F`DI-oASWl?`jMK3IYnLtTBg~peJJ9a>XrC%FSkH-8p#=!d
zWidp@XrM$#5xc9hGKMd7*Ve08!mw1JPcf;Esj*kTZ|{`H2S3hLE&EvlvC_lc|4I#&
zUAL;9NS49(74{FmCt5<V^tXq@=Tvd1{i~j8qd1P;-h1ZzIZLqUOH<X9Rl(XLJASs0
z2(IyOa(2kW68f8#V<oecv1OpOw@8BrS;U{8e=lzd?8e(zJ(d)4p53Z#d+R!U7as54
z+-w17zvxkH>=p2De$Yy2&JwB3RMjVb)B>itZM<!B<ghV2gqjyWMmkdGZ4WV6K%i`H
zc=3!3#uvEjAM$M^7pr8fUtOR>efH|lXN6MuxA63S+pu<m@lETW(*ktZ+i+8`AWi}`
zIo!+!w+$0}z7a+8Spa%ogyz0WqNuLCZ@}Wj6miOR_<4~mK%ZlePs)2C)RT9W6K|X$
z%+)m6igptqRFU=kxsd?AZmG)QpPM5-J?@KQIBpIXdtLN=yLquAa-i?2#vdXr#HeOZ
zsu^^5h7Lv?<i=$?$J(WPe~9mbQ<3uJrZC?4lwCQ91Do#%S4m(0LumF72t*8<0PmyB
z6R*eDp#yL5fdPd-#O%`-vDQ*1K#yfTHvgIlN0(jIb-d;Yn{y#4I{S=4zxKmLh3-|7
zG3=*)PsAMI*B}0QBG(8)-;4ECwf!YC+8w67!)FOuRV)%7GXxH<7qwsA=1Gz7->v%t
zXNdcex(Qp%3?WPA#@?)e-(-|{U_|oK-^7s|@ei6;4B+M!yN25Nak8^Ds5kHQG%<O)
zW9I0TK3q%IeeT#dOcwr{U2M5DMeMWsP*Al~A6j{$$Mxg-$)xm;0Z&pU2_4USue!?g
zK-^#HOX;0%Qk>#PX{AjN24|eQV&wFoP<!L*^FwW91M|Owti0pIVk28xT$(QMBxdVJ
z=r@o7CwtN})yIhIyI1p{vFO6?NA?1r@}86Ps`&+(@xKTMt!VLqP#uVzkr<$8IT8Vz
zCNeA(ei6}H3Gw6e+ECf0Qx?$olyE-Nt?9TrN~GPe`LFbpHgrp;hgQF+A^ryd0RR6K
zmuDc={~LyJjAQS;$8j9v414x{tU?i)WmZT@L)jV<$|z+-StTSA5=HrbkV>UtR8)Q_
zl$AX)`uBhPym?;T_jO-vhsqk=Bqy-#BavEsD-7sr9u59t{01v>`@_+7d;&Yr=9)5b
ziUDHIkrD1ZUD)^W{rpkHNo*pwcsGrM0fsMy@5?p!V)q}U=kEA6iFy3qRn?k7hoMfZ
z!=YAvm`t44hx(Z*Y*f+cdb%<lJfi#6Pu%~Cg$M>5xoP<u>qt=&=Lw;KA^An{D*GU2
zTJ>_aEqDg|Q`U7(IhP9ei1iDf>xZyoF+%$+-Dfc$s%O5<Yc1f0@VYl4-?4kIc&qCI
z=CC*Wz{8KA1$#DEmR1-e*kI5V{VzH5nA?**wa(_6Q0h1_xSewh`)d4KZ(wc#6SFxe
zA&{T}%=J6<vsZs&Ycd*|JHwZ-!v>OLNpIDmp>%_#m^gv;%0Ee=tFB-r_hW<}$g0Cs
zShbsj=@iB&tXyAb`-90o2wAxtN&$1;2Adn#e`B2e(cA7zu4B=EDFG^-YT&<lwdse*
zESBP&zWyp;6TA1C+<jV04eZ<fCG{fbu$H&4rfVaZfSrDQwjqNI-VsYJjeq8`8`_e8
zB?g#*_uIiU3x8GN0EIJ~R<wvc;I+oA4icb#$KjL%p{nrp{Jnv!!^@Z_Q-MpP3>!=q
zE^4_>kidMW&rb{gRZP~x@v`qaJ6uhC*ex1Ng3AzI_A6x#`}k=4)>s}+NGO-lmzq<7
z8(K9^B|kT?)lXA-El%7JNVQO!IjaIswiORE0~1iQkJ0Tv@PcZNm9CA13RFGb(acfF
z4B3yK#=6=Fzyuq)cKwkuynI#fT4_Q6EH*%Y{FNY_J5={j(q9>djy;M#J;w@(b+ngR
zCxoGpqW*bQN*M}#jiTIo*r6VlNRO;V;oT^6#@v7sRO=npaUUUqlW70Pk5=OFRZTHL
zzE%m2*^&AtDcsN=c|i2iNl74FSi~P>D}e(!%=l#~FXY{##z%jahCN#~)DB%%0&Xm}
z_7GhFeyqu{NS>5~lbPYK6AG2!dg1JNR+S*!`Y-&`juHj%jeYoH^pz60@73araTEp%
z`gwIHni81I3ogiuDTCR@nZ;5GQ7E}N#J%}h873s%zNRE9gUIj#R|2OvcurNm&bUQ_
zw(*!pK1wRE#qWBKDM=DcPoCa)Fog_94O}~GW>g^hlIPI55NV*vNGWAsp@6{kUgr2!
z65I)Gvh)2e3wLLZiC(PH07og_qc^R|5K_+GdDKz?2zL_}E{$kG)<om}Qv+(?x9vrs
zcZDLvNj!-w5u$?*d6WNrr#kR_6}6ouD?@rhhh4Td1CpM-3gea4f=E-AxpVa@P+Cy9
zb=6KATz`!m$mpQ~T;Zr@b5?~4cKJDtT{;j+`n+oWFYos>-rak#OoozAC^X4b7rLI4
zx3}2nz|7ageWv*oh!){{nYXSB8?#y*KHK#`XNr;cpOFTPk=rL<#Or~<*+V6!XAR&;
zz`Cn>t0ttl=zP&^(}OLdw!!)XMiAe8(`h?}3VJG`21@tzpqYI_$=}@+LivQ1-ulsC
z@o(eioW34B-$Pu|=-UE*kq?ZtwCK<j)x_SsM;9tsXy+430S?BPxKPj2;nUSEPb4ID
zK;lZqEy+%Eh}S9KcK<#d`m6YYIHMUb;+;aA>$ZTyFHX!CRnVcRiMeV?k_G_>3%7_=
zTLM;LSRofqhpF}aKdkT6fpc^u-FUYZ^d{Mi*YVS#J6}g$d8;ZMCwnG!yt0DNo^$Cf
zOH}yN%G9r1rwEJn%13ostwANMEbUUP794qYcyTyG3MgEYGtES6Am5t(>))&aYeg=N
z4ZcF)pE#USH(&*=y6-FcUsFJ6;bDe4H#?lOzkSHzk`=7{EaKI9NCxzMXa{%R9M%wc
zf|{&g1ud<O8T4clyl0(G%M^c(>-QQRq7+!dpNoCb>bsSpHhil~p5g)?S0nBChtCq+
z?&Nlzpelll_;8HG7!zt3DmZdH$^u%?WE@dYlLG}2+gdhhcGQ#mkS}@I9Lzl4Svx69
z!2v_14VQ6Fl-u8NxzFAlcH}$Hd+ip3h=7vm(-}M{YQC!lJp~v(dM#A{gAnL<UD+P%
z#D}gNyj@+c1F&>O-)cpMAEpP2_PX!pN9UxsLy8{;JhnGkwN*HQaKa%#tdAdkIF0l!
z9M}TW6GtMN9uj~_l+csD%#XaZzK#5iF@yJYbta^o4b0a}lBc(aA3Z$gb<#556xQ9j
z{g#^-u<up=pZk;fQJD8#|KqPrz^YR#mi@*r?4Uw{qbrpk%@`^*Tw^hTp)29v&oqC;
zcz<!<OnS$Ms%qyxbXXaKji3Bq@5K`Qtj*IZo)|uqA;cT5m2L#nRmC>#S$%jxtm3<i
z#(e09(T*_YABJGpW<BzhXAC#?_%>!M%7+LS4{s~N48gXDW6)D|2H#o}Z`2~dhknLp
z2%NoT08O%Tv5p=KxP0Q>oHaTh`rYMX$lx&mb@Py&EYubJ>Wjqa<w!oH(&6Fi6{`;&
zC28LYkJfPEpW0qC<9vuQKRAWY>4EV4*O6Mbzc}x;J>%Ce@T1zXA}{JuJ&-SV@+=Z!
zMh<qoNp~p%C}`Jhj?`IQFshkV9=gJU6rMf&LMjzN$(xx>Z=-a<bm~UnEp}G4%e!NF
zyRjhJ&2>(El|vW&%H0b?!`To^)@`G^qk`zt;rD)uc{&iZnv!yIlpWCp76U(42qB9V
zNA*McIuH`HdM?<Li2C(|+)gA5BVlIM-Rz&VK~eF#)r&q(M2O6t)s7cIa+)F(qtn`;
zv%TqgRRA~QdnbRdH(M0hZ8NcU*VKkB&KhN$1YTsDvKCH$E{669`7mA%{mbk5&4Hwc
zd??v!-{z{I1d_G3Ugaocz<*wIRn8!QjPe(yWMU-ISu`e5?$3a#XqN0RI)aEzh`wRZ
zB8~VGoKxI%7;qx8y?a7m2(^kDHZbnUp!V0>$9lOLkS5SryJjbhngUg`4MOBlj!#Y?
z=WjaPi#sb8cw7WA9Ip1YswtpHmC<Fh-{=t2KyTb%A&Mf8%JYY)D<bbzfzhfyI=tPm
z`oi)@3>C{HU(hj8LL=|AUE{vfAw#8iMcPLKwOJ(ky6jO#iyUFfFW2c{)_Kj*^0Oo|
zxzp)<Jy8V_HYwLPRT=;Kvi5C#kTgn@Fgj%3OhQ-XDaG~s8E}ks0JGtjMSK!wvVEJX
z=mH^W_;MWsMw8gvEnmwao7VLmBx^NfAnzEZF0BnkdG!a&?G=#NuH@mrsTA}s7ds=8
zs|^QlJvXb`qKKYeO%>YmK^^r_i#%#*I-t;2prUP{gu?0s?en=c(ef)E7pXxV@Vl(|
zOIJ@BX;!R@J=N7hv0fwRSMKV<jhT*RlD-OBioPkJX+=e}fWAtPbUi5htpB=CpM>=N
zPX4(>ry<qwdloU5^<m9^DLX+&6^*VMYW@68LxRQ@`nO9BfRL3o-9{!Ohxg7hET(kC
z87tiLyUP&d8^*Ot_|%Y>M9bbpUpf-m!u(E0z!;``LpD2y)sWOr<!f?2bmaE!VZwrk
z34F$^TuTZlh{|z1*G-p>WJ5}0!b?qoEAwi}6;pMjU30Ws7SYf^SRH9@#tgKc3cR;y
zP)8m9ue7RKsA!ijW;aR0AoQmGAc0E*+0KQ>?K!4}5}WFfyB0vh?RZaKh6dVRHOZ{r
zt%0(}(*2Iq0n}5jdcUJ+py;iam{u1kC_Jn^IF4ct+LmFb)aTU^d0F83m+xfc%HeY%
z^P)NA2cPP_oTiR!x5??NRg;ig-Id0?E_1*$st*y?D5yU7!2_#cWz;VJpgo^p0pF?w
zWSKAuIyuR25umDw^uNuUR?1jF7ilmAeAJLa=|}IjVOeBWXndeo&H|beZ+#E-A)_~A
zA7;`YNFuJ15$8E>3pkdpx;SjDisI7VNL=g@MYi=PO^=M4!>N<62j!(nC@!pJzQIKZ
zRS3q4bJm!H=~wJc`445Jj^&tdMDZbm?lQxIBj%v)Ab+&tjuP4tQ>^2o$cYZEa9m$d
zG>71f#pSlcifE4eQSeM2E4t2*ZM@M5aH7N3YgkVKHCj%rO$;-kfg3L8drtsl{~C?l
zCm@GvYnv8{9c%cXLf&5~VgLdg9#%?krICQ{<<<N0%ebxO$GE~H7<5ry*qh#!M73Vt
zGqT0=_=$-FXP;DUf!87(Eire*5ygEZ(Mod`?>0;Q;PTrH$ilqt0k1_-vtzaaN#i%J
zHk<P3J;Mx=_KscOFCv1n(hThmMNZ*`5|QhS2vg`LWb!V?3n6)q7wA6o6mExxpHh$s
z6wcnF_DKq&H%MNSEqw~Vzv}T&gVzMk_f80h-Q`CzvF~L)7pC#L@>4#ieT<>}Yo31j
zL0%+QR`a7ceg?nPI8U^xGXfjEXH%3T+(;Pr?6K~d#YvoY{JDHakYW+0cC?NYopP!g
zHT0dwpRnlUoCq<5E!)q&d}2sMopM5~=~9chVU_2u5AO|Nx5|pB?J_&ce04Z#ZgU9_
z`l6FlW@rGDH?R45PO_n>cV{!Ua;)M4KdQaQZ|j2?Tk4zrB5dgKnse1Y`Wk+&RNv&1
zs6Na*I%UUum=$e^32c8Jxq(|`dG}pR)`KTHarf<J2<T2Dz1MT_FWzXjHusUB2Zw!)
z-uf00kfT$}Wkp?PWT$Xi>_nU{uu#kQjGZ8$$2K0)yDqYzI|&8Wegs`m6uxBh@dyDO
zoKl#znk68z=%wV6i#l*J*TMKy8UbBiVv8FJVMBp#^BFrubYLPn^VEg61QfQ5W7?mY
z1Jwt0`X4XWhHycdwM{xJim$ezc~lY6)5Lfsl7Th^X74-*b*w1jybt+81Q(i@&g4vc
z#{gTS!F3i7HWagAr}o#E2UQ2zr1u<VKm++K?kK~Kc8J?K|2@Qqj`~_QGx!<cEdTn}
z`G5Zouq5Pd+6$mVza#O{dOCPwpPjc6iHN0sg2O&W5LFF)d1UEN2U?(WYYKxC#ki~a
zIp9L5%s>Cf9dSB%9eQk%a+(XRaOH$ANQ)rpp58^lVj2_`;A3cp8(nm9iZRL%MJ|le
zo=++?=<xUU{&A5P^(T3bij&1rVb%!#{UH_NLhF7HZ|6ts;nvsA^hqFbJ6FAX?o=pl
z+<7B7PXGza{M@sxQVQK#a{u#-n+jGp-b<e;7evnwT8v2EltF45;g_>|v>+#|^pVS3
zAygbq(eQpOhi=$Rl&n0^f)=lDp<+BD=m5F(Bxj5QQf>PxS6!(E&9`TGe(V=Tlm2&-
zKUXNCMJ?KJZHv~w{h1T;?4uakqR1D$GOdL8d<HJNE@{Dym+X)cAc6LBTmR^=R6&)$
z;;QW&sL*)zKhn5>6yiRUsLNMQLVqdoIr*JbP!`8Nv-U}&lkHl+n`OvowC_nxNhA%%
zJvr+OpUR?#?Sh7bH`Gu??zel(6gu=&j-Pw~R30faN1Hk-siQreN7A`#=}=+L)G;}s
zfMja!q-NjMK%PlI2Rqyt&|Mj>7R#!H#=it^d8DO<?9K;$*OStQl<6NiIjYL&amK#?
z#EYqD`fj=K_=Yx&_);mCcB-Jgb`Q4eG11YgX=}?D7G1crGPC$4hJ<AI>{uPmqocg2
zvfUySJ*dnutyeBnMP37r5p0SKq<_g&+5f0MOzs!{sr-hFR&B+3E+#Ng)Jv~m(QX5%
z^bibh`Jskxo@jRQYGa@k#G80`rx848(Yr+&ry#~V1K%&*4D{Sj&A4vB7}$2{GcWY0
zqh|ZvJ40$1=tT&j{oTJ_>cNyHujgwZ9wXA4x(5TjZoLxNFR%srnYka=n`)xVxmUKG
zdQM0CpO2IG7hsUc@vi!6g(hm!ZrI0IqoLr{b{4H<0KwmN%Y{EQQI6l#&oBZNb#|o2
zMd+A=bD2ur%y&)XH2q#pvrYr8ew8@T)@}~Wd53he%QVrp%*`#W3KY~GyRY%RsRhIi
z24(iqG?Bh=#C^J-D)L@GPk51K0Sad$Us|2fKsi=XnS3e#__gka2fq8qoq%U`QP<Vc
z$wE7mgvScVVKsRh_qYXYt`L~NB~g&3pyrPe78!KFt~KDym<61>#B)PoryBZ`<Mwmy
zml&#L5XkpmS-_8@U+bQ(s3LQ#&@+*iLg=+bVD8py7SONmaq>tS2{}xU1@@TpAbCCa
zWqT(J_+z#t_E1y>?eH_s&Jq3Bf9y)r@7K+NlW?6mI#&txppRx$j!nFL2Ul%wzByR3
zyL+|EE27Xl3pI#&0S~@1uT3y8hf7XPM2fdO3S$hivX71797(aehh77W?@k#=&yqn2
z4Id>A-uZ}M#3=qTJ^)tIUFRKVB$2`qUXSue_wd5s?AKI>FgTJOcw!_}9N7_G-V5n!
z!)k>dZyRUF;48b={y7Cv6dfy&kSg4b1+$z<6rpc{wdy}_&a4X|LXxsW!PU>0wd`@Z
zes424t$%h9V;4kMZ?Mk_%Y4CVC9uJzbW_Om<6XP?e{TtSn0L<M3)auqP}1390?Qoq
zH%pe>h|5JW$)ctYiyx{gI7c*r9-3U<`@KZ;?EqEn^uv!>(t^k`zr8VZSxgMyde4SD
z6`q%@H*{fk{c8tYuNlFogUOn^QV1yG+S`-a>~FBF$>(R4#|&ZG&9^cvl^NZLTED`5
zy9L`3eeRs4sUbYmHggcq|BENKWPU8Ya2M-jBIm|t8$eC^vr|?%>$uI9^0~IzTlm}3
z4y9|0`XF~hC1LXKD()36I&{$n;pOCnOrPEQ@Dj1mg<mb>XHO?vO$@)rPje-P+-mv9
zDP3Y@z|<n1`fV!p$&+sUo6^@*eX1VReCPMF-@AYl*C)>HIoF3jyO&FzFVF>xJ@nCa
z*?Ii-32o6{i~sOEj>zOXVO<Ds-0%;TnZth?ns)NW4dX$%*3b5&>Oe;*Q(A=EEPlUr
zKrVRy2<~xOen$sU2Sn1drt_Z9;33BiHYa!d#JkM&?vGy31}c7FLOW;%U!e?o4OmRz
z1;p<=@_4l2g;uMqxxoxxtTq;Av3(jhd*7t;F@pi?x_{<k=`*-bMz@|<{S0m+K!0>j
zjsY&TECFzu!JYT&9M^T9!>0qHnKCNr@Xd35<@B`~e8jPvu*toE@47D;^~a13(z0#a
z5c4el9nW!l{do}&m-asGQ$ho$&ZTyd%d@zwbl#ommSx<~rZ3f{mkLVp1Mvdb9Nus`
zkZ1GtDn6Eq+rIn9k>7J>V(o(Sxb~jYC;Hab@S>fo)15Y2(5^U4e9EzaZ=C%vxYlhG
zKM<Dl%so{T%w=sattc+ym4A{7xQ;WSv!5q@Pkq#Y_sx^R6ML8NZc<Om>IY`zevwmS
z4_O0ZqC=%)JC<=#&))NHP6X8F(gR{=)WPeRkPxfqD!!H<U2}Pk6@C2gQ032W6nMj8
zAmJprhUe{&%y4_mj%0aCWTmVq5K-56wTxo}Pj8h-C@CkR%CI&vu~rQ#0<LDYQ~u)m
zsn;Jqd%=a=b`C00)YO1wZHMK23lq|<a?^B>;6?V?fo}xL$k5XFJ7GUB3nJ-oIMa*x
zk)8L+=V3H5WbctU))PfQvsQ9S?%IOLv3Q%LVXG<-(jRbWaIvASR}D{AJrqJ4BjR6!
z{8Zt+I3?mr3p;uqqTb2tErKfFsAxEItAgn1{}#iGiAeW*uyeeI7$Om7(-NPNpdlED
zmmY8-P10wat|Ec>rLX-QP9s5iL6pnOMIK}n>@{s{Cxxb5SqP;ENg!tOn1AOHe)MCU
zO|7;_1|?$`GNbp9U{%A-uSq}<Er(J!kEzQeoX0ow!hRCuG1>ZlyeNeBWgSXeUijy&
z{sA_L7f4_n<7rr>B7(LU+=)4NObOYS>{IIKBtiP?=~@5pqR4$wIMIQqf;^9TkGL4B
z0>|j=;omRB(SFO*q2wnd6#kk1bhJ|yR{S1bobQ%IyI2+dXOhXNyjpy4C6f$6-{dv&
zh%!hZ@J*LnC<S@TJXm?0sRnHU9{zg+<&gYU)0~JS8tCpu6Z2dT1qL#`9_<ZRK!*gA
zm?ERJ&~??W^f%rbFds|)z4qpxSAQ5^5>KI_uA6)0&KPKc%7uXMR{uP7{`PF5@*6su
zm_bG@2WgOQKvRvZR6%Lhf$D)B4CM3Jv_El!4igc!f77X|$n91lIkiq3eY&nc(;cA=
zk$s2NCF;p2KLUnm@j6H~D9un;MHl*Z*9>l$P|$o^Q`!}ZE|R1xx70A{!_>zj!IXcV
zcs2ZLrqT^vWFczly_IMPjoY}-hRbOpqN|pk|7%_3%)NQpPTLs9!iSvI1GG@*o{wA-
z_jQrx%}`lNs3|m8EW2Btp(0WsM^L4iE?V0ESTMd}3n<f!3by;v5PRlR^M|22$U8^g
z;$#FsJFDNT(sdg0vW>d0u~Qq}3TS<h8)pvOb4gA+NObhZOTbd4pN=Mb;tlJMTEN_8
z4*i>obY$e*dn?qOiWDzs7RDG_Lg5X$<dE+)l;8GYm*gRJv@o&W{=UZ&JZqgEZfMYu
zb7;ofWe-(kC*{+Y30BZzPBfZVq#`ks3lg=)N~pCQA{L^ppwaQT(psk`s=0JPA|O--
z4U0YhW|?ROF_&kK-!#!c$CKB;-~KIv_{Ze6f)7~1U59~c+eix9`o35w*OCXFyx9=O
zPqKnyURspIRWcI1Fd-i6%!K;mr<%*2TY_WML92yq5^{N5)g^rIC*B`q^P}9^60Ajt
zdmm*eqpu#`X8T({U^83^f5*Elpm_iG{?ZIZ<Qotw@ppI@Q_~UKW@cvrj*&bZIv|fw
zdT(>Q>pJ%5pl#>YW^;(y_@LB%RvPIj><!WvV}Vm%2FmBP&B1<O&{^gMag=jv=~Kl|
zR!EEJ+jXEEVB2`f5uTeOX#d@~!;!u0Ao(^`AwdOTm?Ha1FI5mZn6kvraudNIz+xuF
z7K2t6<L)Czcu`C{U0bN02&zgmN6D^RfRU6NlVV9kVPVgUH<pROoc|${`LG$#JSaf|
znFORcnY|)3Lj*2fwmWar{_VYeHJRLXo48qgsfb4d5iZsV`ZG70fUXvH8<$?jE0s#8
z1ojcZw>Id~<ZojzmSSB{beO?wZ`-a0G7;f{pkY%V)figGMW3u5|AD&}KO^%Oa==<_
z(@XJiBe0dqXnL>Oje9g0B>mXN0bxtg&V+VDK;m)t`gKCFsi70ELRmO~=Ipl4C2a_f
zk4B-V_5;@NYF_SW4?9>7l}=Yj7=R*cXE(8G5bLHM%$09t2Vvimhspi=K(34@ziS=C
z5-J|Y)V^hhQxbiOV5tvREyIFL^rx|C*T)=5>+IkeNNc@VqX&Iof?3^#=CD=M2h|7d
zIUwe3^Hv&34+j4H$uj6!z*N2CkG8jRz((o?7WRJ}r<ax54<BB}_@9k^dhJbwpSL+H
zeoN~@>G9K*7spnyaGzwKEO}0NbiN><uRsUbf~-!RcUZ^D&ad;BaB>0HjWkM=st!mW
zy*uPzv57ery{;OU=7u9%-6F3&(1s*)iES6+nV^YiziY{Z2Y$MG2gg`zLtIeHt;srO
z;M1Ib`Ckh!5cqe9p83jvx$45;S5qvIhS`_+dGG_rGOqVLk^!~TZ`t}8tRR7@pEtNH
z00quZx5P;?fIax|--`2Wusjl9EuSI?27XSJ(=Bv3xlz+x`->eqjM^_M-V_4Q^;`G7
zj?!U8q2rI8KM_vtn*VX7OBhn6`Dq%;bU0Mt_PlkO69jtGPkmDmg>y&6jPjajfRFo(
z`;>7*nmPBWb7^8=XUuC=gwddiqujzLoEOZyJsdcsB;ZQ)SE%Tw!oFv+jeidC!<XlE
zO4BbSVJY?SEEYwDwT$8V2e<&RPZtN?&XI<XYo;<v+W-7igui;^KS3CJ(uRek$-;rJ
zl^xzpR3Lu4#v&so3?h=dIkuL`!%H(+ABRybaDSQ+(79g(xb|ti**mWQ+$Yr8Oa9#z
zE4X&Lyb=Y+HOc&Wk`nYXmMcP7sqpGnyW)_YIDBR|Vp=?;49B)!@DjA7LfO^(l%P=w
zh+Qb|Ki#4NQXjl-x|CAkdgiwm$@x;S_q%u)vzjXW7O@-HsZE2DonBbXF&Rj)_3@O-
zBSYoUqgK8XG)PJd!ux&XU{g9lI8cfL7c_zz2*GrSI9T2JQbz$;2&rv53)CUSHKQtE
zjSgyg*F~MI6k*<}ZuhXFCa}kt>8#vgKzd`zyBJ?3c&0i~Q<Sd-=RXdmXNPHnA`jnn
z$#`X;e&q@}Or!xlzvyw%J{|b^>{pjrr3!p?biCcFK?i=Kt^AW?y0DvVz*PMc38>qm
zQr&Pmgbt;~rWERd)VCxvi@&NM%u~N<X2^gR(aP=nru4zPk6D#VUJYWu^{_@>W<dRL
z+whv3A=LQyIvda_&{weYiCptPANKN3Gyh}+WA@WUy&CE;vA=C;>L~+$g*x2UI$#3E
zJC=+RxHKS(TUlW6A_M*h009606q$EC)!!SyjqJVm-k0m%YwyqFA{iM8nPqF(d$f#(
zQnHf7HzK=8MdWj=l!j7~C>2>**&6!!{eNDs^PJ~A&+~qt*BLxh=J)Zh5j+|naDCIQ
z3c#1j|3;DmA+qS%(<~F%_^6&!<fH~kuCKg!lF2~aE-TVt1u&?&&3XN<8d%tD&s?)4
zLFAwN7kt|R{(JoL$g4p$Xzjmb>!m}4-?zt?EDoB2bwzgOYNr~QG{<;)z9Rsw+%e<%
zDO1qjT>Ug0r3N0Pf1R8<${;=Zz#)4-6+Vn%dsAjrVbuHi=s=_bEb2u~PLxuiI5tW_
zmY@oqf!ouYrLvI!MA1uafC{H8YL+H-39wn#^7(SB6hyf>wHb_4A>@IFVu7d%d<l}x
zz7!@3aazZ>v_DW`ApFv2@sCPikuq|ZIaL5WS>N@VHBsSB$B)qU6N<2;8T4V4g9ip1
z@}`uMsL-<T+Xm-RfNoM;D~~ZNEZP%JPmrk)eq}ZKQK1}+Ub@RQ9zzca9d#+e!=~^(
zaat!yMivGWn+nCx{>F4a#|`d_H-)QtTSqEurQr;poz^?@GPa-5-sA<hDcIk5`MfDr
z5@={Ht~Dor$2^Alx?{=#?s-g8q@RmH|KKXcW$7)3h{91pdI0U`<mQj*h=6d{r`qJb
z6<F~h%Jt}c4E(i=DiZnxf$?gp4R>QFE<-PIp3-gtW&&EBz8U-wc~j?Tk<A-C=%8I!
z*^Duq-6I{)700`CPnOOquixXO-13hfM2z9g+~<9p+1!ve5DEKphVbGNLQlB85p=~y
zr=kZOfc4%J{z4eS#XeoAZOt$Qji)=Im9PSp;4?ZQ@E+&Oi<KC7ZU9G9;@J0%FoDY*
zO~l{+1}Ad-d~=)E0B-I3w~-Ra0Q@X&p$02`c&o&R7LkMcP`obRR%A#ITDd{XWuhH;
zRM#xm=3PCI#8wnAXIl90hW}}YxGMbNzq-8~%z9vOwRq{b$3HB-=}cwSlQJwmoxNSw
zUl#=LzA0xv{RayviI*i5AZ+y1s3U!k4#bUdhQx6F!rone+-h*_1$Ir7&EPme2V}Dy
z4_*4Zfd!m?_+OjKJIu&DuFf}C8%E#vs(Mq`vCRpi1JhC;G1l4|#SA)apfNk6Rr7uo
zGf*nNV8!+Y6F3_0@G4ph5>-pfcHLdUe*HlDADPB6-;T~+jvtyJ?xbbZ)3=OiNVU^r
z%#+x_AD0(|08J><&&=nMUd9X*-cvofXRy;rhkmk-Yk<Q>l)&5SpO|9|wjrZ1hh;i-
z4(0o6fIQEI+Pi^2u`5>JB|U5xv0h=L&6b&+eiasTV|4h5?dcEVvDp0+<B88W<r_%>
zSGnCZqkccJch_I(1g|e+xq1>7r?<)AJapP*wB#oy<wa@@d$fvq{?&QPa)}J#9}{zI
z=$5gVT;H$p`RkY=ov`b&G#U7(q77&=ma&qlESv9_HnCw>&g9@w5=<KM%(&~UU?lqe
zMP8M^u!k~iDg`&y0Z;KN0;W}rQMM^?aOw|6<h8Pl9w7qpRZynD-&IU*9O$m@`-gpd
zpEJN9PK33veD@aNbu2u%{ipN>4Ya0N#vk-k1I0^g!D${FSVY)9uCPONP*!h2C}~iI
zs%szPcK2>#S*t#u!l&sW>l#1H5~C{c@Xa6C?fnbWmD<)X&Srq^hK+j{{Rn{axE@gD
z{$L`noJ<;gnLttODR*bD3OI7Ec1MY9V>awB-D*5pAk852zhzAoc$uZ~dABSLIPK+m
zJ)Fh{trCz>Sg8z*7-`yPKP^l@tx_5u;{eTLH)-}OD#He&?Y)3<I>@t4NU+i8hQv3X
zXFt^`LCAV<=AzIp@ElFbSH8&u$$W{EQlJFq%k<8Esb>Ju>lb*f2z+qtLL*h@vm!`W
zaEy6{FhRUX=bM}%ekky65RN;q2&vDd%wM~(0I#4`4@<2ebWVsgoG?>_+4R*tUqjiT
zzVFRwOSLcv7~Aj|aw@_u<#N;57LJ`c!>fL0P!t;7w2p55P=HuZx-KUPZdh<}zBr^I
z0b|{33(;c=kV{_{;FiP#tA^XYUpl0qZ*ru5a%cT=R&&D2CNFSS$`#R@$-r6y*DnD9
zMF?x?zHL^(56Vt&j)Wjt=y=5|7kp3=nrNP^IC==eV|MTHXg7I?@T9UX^ee(m8LzFM
zX2Q_8$b6)ZLlNpI5sSx;DM7b~Om&HqC|v&X(c-~~5=8B>+4MG4hEFl~CLAw_LrW?v
z-#prx->>LWC(Tr#wrtti^oJzWoL;x&Yf%NJp_lLLG6`^rvk!A@kp{=XV&|F1L?HeC
zO|Fqv14P<(tm4{<uc(#U^MnLvv>ythUFy(?7ss^4%E4H{#$BNaGBgA_lJa)y+!fe+
zFaMB-RQGf1eZv&EB*tDf7D9ovua2sdhZW(TLF}EYts0=o%s93FLj#IZS><`>l;A7D
ziB{mGCOji-_dF@of<>P3+V@9PAT9bzc)73^X!*{vKaJCYzqhM4-9HiF=FOv(9LZW>
zdt<27>$n~$4cA)i)8FA~p}2>~4K1KXD$_WZ?#$1#R#p&21fV@4Clsj#C%nm1cZZE2
zbac68*GYBQ?J`<_ds!1S9e-m}ycp!I_vaKikl<?nk&-4cO&C3^cly8$fIVgFW}BlV
z*nh`*!)%cP`iRj?zt|K!(-Km%ILI(3KJ0B7LxuqvlaHJ!JDh!_%XgBF3@tfD#qF^~
z=sx>xT@K8EuQjJsvVa60O}&(~+bUqw&o{_CU<UfO6-GRR>X7n)&G}u00=ynA;55-P
zhjWkhdYrn6p!o5AI9?(HAt9f{q5{pq+uqB5=%^Z0u7Q_Yv=~rnop0D5HHWW33r?gD
z1jrT)=Y3D)hjrPQ!jG2b5N!W#__Cl1H2MTSc&yI`-Dx7nZ_}B>sfWdXI<=I*sVbzp
zIq@HMWaazpdZ`(_7AjxY0|kh;A7aVgn8KVlBukb_W{{Mq8D?!E2bGue8f=|k<2DEM
z^u+J(@Vzi3^`V^%EL*<QU|U+kee+#i*OjSYltoL^(<cc9L!n-SQ@?OjYnb|NCvOf9
zsf&ryVo;tJ$$N-Ii_W!7a4QLzf{dHHO<Sc9Ouj7Niu^>6E+|ffb6x_l>T*|dIl>Qe
z_h_@u-C;ofp}w=cYyhMV4|(EY9_V`7TgUpA5fNu!8HkEv;N{4AE^#jh?C$$`m>kZ8
zjuiKLw=0`K(W6g?)h(C-Yqg=fQpJSEy6$gkP>mrxaQtP(eR{AMUqePkOh{N%^#Uo-
z2!>=VkB?CPVdvlGHz*upLSOyBRz24cBAyk8%k*zxij6ru4a`i43ky!au*2)I<^r|@
z8b7hO6;JlMmNO#4#DlkmYz8np85S9sGl~5vjNMPAG9tISj@l+CeaP{UDA8g6fEhK9
z@qe9WKsp)6%uLGk;Pr<*Lhh3$Z10z`wxj<sAkFc+>2+JW5boIU?LV(xysS7w-!+s0
zCEpo2m*Jud?>H$BcYXMX+q!h=H@h&P#zW#hVJ$i!>Al+|+k67IHdXqZ@5z7+yEKKF
zWObl~(%w*WViy0Fu283y!hoh5MNHVUv_XGtC}vu8314U`J-z!G1KNLc&d-uw8?GAN
zi)iau#$PWLNy%$6qNk-a_cD{T;QL9s=4@;Ym*zOXwSX9rhwpeBzNrbDC(5m;B^!8C
z+^I7SQB3IMbGMwQiJEXlJ?_?v*)7~Q&fO#4mKjC+yi~tIs|g=g3zMQ%|KNLB?z0Bk
zvY_b?Pvwm=HQ+uQcgg$1+c^Ji>9WpfR#YJQp{`Cs11j6v3btKn5XH<Vj;WUo9ich7
zMSqV1e}^x&qm#6VTG!M#WzK;rjSu#F?4|5*haC2zkq+GwDdurm;zTdMUO)b6j=aMS
zmFlZ2^ypsH#(Gx(H)1@|B+!0^4C}`YRgYURpzozmUnd^pLD3zQUtmNAdYXFco*G8f
z`t&PnZ6+_eLv!;~)G!HDg1pP>RG86kA=fK!`uNaoW77fg9j~X^ZMY|_lLh&o7Z*IC
zAb?)X{+)^HREL|aoR($@Y{<y+sens~Aey!jEHAcI2e2(w2yo;;Sw|U|84ZLHbx-`>
ztw|!pzc5(hwc|oZHUF?`Z-^i%iQ4B9IYel&cO_V~aHG4^ousG_Vo0Fynd^^zL<ljo
z<fZ+}gM{cU{A9-@kiN*k(M!ri7?BKV>6hX|f-Wk4YK+q8e#iNobAm+3kuj*%h~r1=
z|D1BX$TG+x-TL%HDI%D6C`(_S7C<@vw<VN9Wl>13)OmMHB5Ve7w@StcAt9NT8cAFZ
zz2Ds4BXETXKfGF=k4T810|$MdSj#G)^H+x7&C{sEybS|2cw7|Oo5uwG%2Pxd<y!jY
z*VRFt`DpJ#k2s<aJ2RRuq>L0k9Lq=kBshp?X8i4zL=%s4<s-^e5Lt)YLX<*=*juL$
z)P+f-teQ2AOf6M3qwz*q=LH#9S~gA{J}-k9SIGup-D+sR6I1e9It4CsGAq*6%c5Hg
zc8))-)zKa<V#J<98eoumM3rwu4&7B&+Dm9Bp@`R2COMv(ka^PS*ijAzgntk(&^u2?
zOO-5Y!8>*CEc-8X0~AsI><VTfK|wFnE;s15X@hQ+HN*XIB_z2Om&ce(L9A&3AODE!
zLR)g%=casRB;B1Y%P>hnSNRI|FJ9AwG?O@AQmqPV{*z<4&8C4kZ?Q)1AsT?k3*n-M
zDgugGc8y5>M?qD-$+D{bhH%w$%{1VwDk?N;noDn`Ab$=k6FkNk9N&-BL>a3g(HVEW
zy~Y%@&Xxc1q5uXb96m^#+&TZ^+=HBFX=GG(k@Snh5kR`(Ws|ZX5nUTOV^1NFP}$)w
zhF~UBm>!y_&Lt92#ixD_$r&}Y%zN#?>TOf#z7f1K!bC(m-ABq_A0Qyc`&Zv}5UKF6
z#ru-`Ej3iEo2;anrG)%6)SnyXQDLY{c>d)sHIzlRsD4-}kK6^rR3b*HV8V61%b2K&
z;=lSxtF+0W#80AsRp`y2NYzigQI3H6CJFUYJrbx{H?IE~s~J4|@Y17WQ5jh;FdqMT
zNEp2^u6JQtr^2+ds1{?P63U5wUU&N_ABr{Al|TQK3U;DboGz;>q6ea?LUU^zNQ-|l
zJK+o!Zry!2b)ZfjO`6Cu?a^jL^LzVUWVNW!6P`6Wq9ljR&n_gr()ouc4e`rfe{Tww
z<kHtIr7~#1?nk0Etl|&G%HC&%ngZdNPT?7OY2-XrzCGVHiSIY|@KT^Ng}=fkv|a%c
zsG9jLtyuXR-1DD6^+Yy+35~4&WT_}R<ax85Hlh}jJoxhPGg$!1MefNJCSjzNrzKNE
z`xaaE+S70~5CguK(m5{+1W<uRyjV)fC#*z>aN<XX2?RW_4&HL*LyT_{EViY;VYABt
z9gFvjA>o*Ped=x=ly4F0MLRT(CBEfsOa5jAqK4n=FFfT$Pa<mk34126fTn90gOCxN
zwIdtvJH&=!xUU+XZXd@kW%2npIU2(Dlj%3z4$Nq<l<l)>{5Oo&dYmpj+W-ulG_Tv{
zF(7SzVwZE}7wo^a`zM`-^<lEkmA+b;9@Q%I@sux(VnXJRn`agD;m=Uwq7efv`e}Wb
zy^iMtrhqm%IO6pnqG-|Wxb-$pI#m_pHaURNn>_VP?AL{yJG$<l8Ghr;{fgg?syxSt
zg_6@Ns=DBz`KmCKvWf5S=X`i49AP2XoJ>qIb%61t?$gxHH9V3tg65vgZLB`nFI#p+
z8}#a3+(hrJ;N5$nXZTYo?yvr3HPlNRvVQq<&CUPB?~1lZx9w`jcRPgaUVp9yKNvTv
zlVg`~;kF-dYx$qydfgclmrb<5>JBrXNy-8qe`w2pKK>1kx}Eif?rVZzH9yZx<{Vz5
zJF^n)IEZHz{x&;G(gevb!tt-^f8bs1z9>g@1b0%GR0^%r05zqg6L!Nh_|Vn9_G_bK
zILSG`dlyLq+V0KUt24~t9y6uavK+qQjr3|q1e+*uM_uzv{>f=vI^=ACf6D~^4;|0C
zXheY-PL;J)(`kGy$uZ)z`V`($wpFw5DH%lB^Mk(cp2qFMbF6;fpTYZ$mAPD8$*^Ub
z;~||fjcc?{zS4D>!|6IY9<jY8!M{DB+X2io_=d*J!Fhp2oH<~RXvJT3;8J5Gh2S&z
z6SI55eA`PnzrWwgA$4_-Rt|K2S2v5Vc2sT4om<BByPq;C1`r|rqDLP8+aI{S$8s$f
zaTPyv>`VIi%^mN&cQ-nYG>;GM(-PcRTElN~g<rflp$ac&kNo58UcmqO_4t{5*uXcO
z&EJU-RiV^sM(cpp68_zrtuB9R3wM%{PtQmqK#H4C?xx*Oe7I`;F0=d}-2NDo@%Mfe
zXffWUn-jf^*Nn1;(d2C7DJMer=@V2y$Nl*!&9)W1FD|NG?FJ3HY(DDwUxqSpA9O9Z
zR9?f`O*S{Qx#<wOe2yD_Dgh^10WWJ^$M^7!yk)PTN74cNPT6`Z!DZp1vGjyZT(r4)
zIK-C$<vLK`uns7~vZoEr^?+Y^d&PQlkQEc^Hb_W&XR8Q4{{|a(rTxLj&q1WmK^F9D
zMIu0~UjgQ<Y<&(6Z{x%{Xp^d9Lp5<EYN(q6^lgrW`QN8ObH$1>&r~_lwD8-!6La$L
zD$*)>MUoCZ6P4zPj^#$B3%+Jb=jEYne62mUmL4%j6zFPi@gO}C*R^P}Jjgm&l{oq^
zAfkQZ+TNRd$d3@zT{kWV;X(^38m3HWVzP0PBT@hv*pE#gyd?+5hnPBe9axaGP3GH)
zP$8sg7)*CGS`Ks?f_H0Wv!PCDp$4bxBFMcrw1L}24!TcXofTu}M3I>Z=7Yb)(4AW&
ztGjIF;DJbIj+qZPT085?)0HKOir;^zIprn?*>X%>#7{iP%6h?t>#j87zQ!EwoFWJA
zx4imyC-b4nxSUgWv}Mr)i`$%Z&*eb5QYw8L1dy@0pa#cBIizsa^<$5oJVg7&GTkH!
z?aa?t681L~P-x(7?uIw=uzT`+g_gMp`uzT~W77#Gw5sp4yS_*PGz0FH*q#wX54XJ#
zB&(oee*>9QHx+^U$n55;RSC3az*&7DTNUx?9&xOlR)UigkyqYXN~7BjeKfYML{zEA
z`N%p+1&)=>SGQHmAeKfO^T7oY;uemmsq<9@V}oa5Su%2H&EvlAD{cxhXUlppc$)~8
zUM38;tK<<iLv!3yRs)?tGW0GgWcdEXI&#}Y5j}BwUiU~=6B)SaPDbwZ_2WY0)7v9T
z$k#t(?k1xax<zlv>>jHLu@S0lmI*3o-+)29bcYrqi!}S?hiJp8sz_o!hbk%w3anN%
z*G7hy%?tMD>B1PWU3;IYhBE9~A0(XCMx%ZgH>)S~LFIIDyZ1a1ofJLE%YIB7@rBU^
z66}niT7wXfB1u9jw|(R)wzSZl*Wb_rZUU3I)qD*L8IjL1MOVpdA;(vPC8Qlr$&F@7
z1so)!FrR<^h4UJSzl|~IV}mKoOASAo$RHzwae@EXJt^oUUzESlJu0+C)tMWdBO@WY
zay8w*>S&k5)k>!eW>CqMAD-?^Mgi^`9GBh_P#Pg&DqX`IbP44VF_R?Jbg>}+)=@=t
z-EHfq@GWy-&V3SR{Zt(tl}<7e+LS?07|+@{jG2RzcOZk6I}wR4f8|th5JSG|Z@c-Y
z%%N717#mQfioV?_sBf|0L-c8^!X_Q&aP3<0dQP_rq7kSb+~Q+KvoHQ^UW_q^F^}C^
z>8(m=NXh&c)1P&G<B~{kHoG~TVSLMxx>IN2d%M02dA8x79jk|1FPTAdDOuoRyd1K#
z9gpx6U&KVL$1RF>{G`#^hokj?42qA;Gt}Pw7ki{yxaVBNj?Zj1cQ0L*L`JnDRh$#_
zpuEq4Cj65r1b#9%d3#+Hot|#{o7&9;)u${z&sm#-!btL{_!mLsYA>S|a*7rFE7Yw*
z+5mWbxOvw6_)t%>X!C>vJ9HMbHic*cJasmDX{5@H3YP2=s}6I(Ri9=5KpzbDklY9k
zp{(ew1&7M~1_!Vutme`jHUSs!YqO;s3<!7E9blK`gyJag6Q_?GLk839x#J`nw2L$Q
z%P12kJW{>8=2C0~IIM*3yS9Oks;oEf?&1K(3dPqC`V4`cf%M>d#3IhEJeJ0~v#(LP
zuS*B5Ay9oT<Wu&4#rxQ;b<eSI0Bf>u=T)i!F#dYkTin};TmA^!Jkh`oB6A#{4qw!V
z&o?Q*%HsPl!Mlfj9vxu^<%D*Z<Dd0F{Qw`;y!#8r@qR$5+K3%YspKDIJw5Q>+$Uf+
zHG>`d9zQ#-#tz-XfuH{r=)&s4yJkhfpICvrRCE@`4i95ymLh0$VXCJ!o_k~!bE(We
z|0Iqb+VA*W(GArBVv^p!+I^cC=is~S_e1RPW6!`VmTx=nS-(Shq8EQ-X7w$HQhYcd
zVqMVtp@%l4SNSvU&)df8TW(3{335Wbck;N@h!)h>|1K<fOarl&jyj|bPEg0s6lxsO
zg2Nd{BEHDe!Q1SyFFkbJU@sICG(W2eNdos?%%s!9d`zIT!A)*}czb8hBuxkl|0ezV
z`!4X??P!<n$^(a9C!M&)qX{V-3n?~MjKI7%<x!#{FNDsec)Z;42XdcYPgfHYPy$qZ
z?{V^hUF_>fl7j{WeNBDip~eCU{?+fec=&;zo5r7MivqN_b;p0-V}+g+TCP}i0T@3g
zY*k-Lfna0yz3%qx@cGKkryqj^As!D7$~s7aGj40Kbab2`Qr)I&*e(QW<wD9NNeT?C
z?0xLk&jo!_UNpHHB4A7(yjSi!8Ey`rpLY1f4Za>U6YqLNfj6#Zztnv))TL$$B#-kz
zc3(pE>v(YpvbLN5d5H|67vxx~e)GbO#_OfZwvzBlxzP7q6dC>o^EwzP@q_rvz7!E@
zX*l_bwRg#n3=CcU?9o92usq=18bXkPiW3Dz9zHwoYqz0=$j5>^d1pD%ZY~Rtle3D%
zL&)$Un1xH4APn;VNqM`6%0Z%yo?P`gGVBkwvzDnBfu^GOcLXcsp}lXdq;MzBjF%3N
zd#uD@LcRDFWmW;2Wd_Vj*2uv7qDx}ok2nZEyA@2)+wp*}S7?*0DG->M`+4b!BwSV-
zjq13l46a9423GG=;9z*Hy0McqsOJhvW{s;rLSLM6x4s7KejGB{WGe%m&no{T>8iqo
zBXvo!LmJSlpD*iTCkwIZYBc{&sR6CjezUz<nlMoMf|q@Vx3lU@9nvjC;Qr54oIgMd
z4pg^sDEi1l+)7L4nL%}U_s4l@(ODa&`4<Ijjw!&yQ)bN~{Uoqu09zGb9k}n9Bo!T{
z2s6^T61!~4P^%|AwRTn)D9z$}OA$&CrCIt%B8LpYUs571yY-+n?Nm>UuQH4-maLw5
zNCutshVK9WAB{Bk6q#WvpfKc0Jk&&noG4RVHN+5dA6Mo((Gg(%T6F^L88WoH@a#GB
z!U$5r{C$ec3DBuF*)L8YgXj6%8B}ExIOqSMD@0Beh#A{8SAhf$Eguz?<1onD&@Xuy
zs|qS!i*7~lh#>g8G4Gq}PJ5(J?@PF@3bHC9nx?{Pkg(`Ge{KTc<h8#ZESFW`xy8Kk
zeIWu6zQ$%{dYOWuj^Nk*4m<v+aZRrDn-VOI8B$;2rr>CM{{qby0=(MzoXBxO0XWl?
zll57sAdtauH3$gsMpWe3Z#g+QVfSYAhaMHY<c3S*V^lz*Y{PrU0>N8alV9DQ3d}b~
zE27hs!9<|gn){15+;N@qcHT>caNR|Vf+!_O)*8GTn<fmxr7z<$wW*-iZ?oQFr3n6m
z3ukww@`EIJ_2;otLHStY-6;+Q@Nig=PMPI~UxC&h$^E9l{8Z9|qgM_-yW=-D(%Ilo
zscW0}SyM3k?`~>!k}Q0xKN%(_!3d|fTncryO`);cWTTKG1AS?E{l9Z*A$dIf+oKVH
z`46I_-$$e%I6uMwJwU?0yuaf&rq%uTB^(DpN1Pfz9+rUIRO`Wl&udta{8sH_F@QnJ
z!`T5oF_5}Lpu6h&6MJ&ZbLvb423D#6Sx$cz2DP8%w$1c&*v7f*4SY2wkW?4E+4xEj
zR$o(cy91`Mj>&49)$hh26~fvV`<);5iby`k(<ZR|Cy!?1<#zZ|;4bDY&j$&u>n^i`
z<Cth<#f9_!Mo`TEFXQ9|9{A@#Nvrty4O^~r>3Ljb2w&e9qy>v|L#0e6)8G7Y>}zJF
zdBlnV)IeGNSP2K{4vX1ji+#sLI%#gcGc^D=?w%5UXEqpBTbVF|DXhP3rRG<zKCq}7
z4D~v&0RN?mcfJ!d*byU(l5cZ*U~Cv`w{?jL9uA)N*I$^!UQ01mowU+}H{EB0PO&ip
zab}_Muly3$+h^n6Uabo!vxeC<I(I>F)1Px!R)1oT6Vs#4aqGgN!W-AO>*+zTqhx#N
z%L+F1&^4hqQ3sx!VQgi7MF*RvRy6qJ8s^gQ_i*5hHvA6&0RR6CS9dtoeH14%n``gw
z;$H5(_Q>xTAwohDg;GcfiDaZDQW<Yal4uwqlt{xplq54nk%o+v5Jj?j{rf%7_j%59
z&iO1g+CK9dnKdv}WLN)|eV&MMcIeyeV*uM(yagU#V1<_X(rz)c1p?i5O5$JZgYNZ0
zJ#|A?$jI8v$Ud_~1XmEJ-#hEWeDT@;e3n@t`)ICv?Cc6*lFH+>yF(AC1ypafF&2>Y
zKQ`pWWPxx}`&P-#dT{ky(b-$SSs?Y0xbnQ{8u*O%lXHCx@V@$Lou3jb*b8o<G{m#P
zQ7dXG_Z|jVU-$W`zn>L0``>m_Ut$MR+BXUBIXakF7<+Di%L-g^waorZPB?K##Ai(^
z9sYYyY1!+$29}0C4t3aYLkmljth6c}!cW(px8`7j`I2Xy6fqu%TGUN_-arGEifXcA
z3mbeg>nru(;)6$Bw@VBHXpofi?`m=>J8UTm_5LI;051-Tb>#EXAWz-4)3uxf1U&M8
zywDYbx!VU{<%a3Pd1H@;oX*ug-e`4I?Gc8h-#$9z9v#Tz3a)P<al^!%v94*22#kL6
z7Q4G%2i_LGmrIFV3v1Ngojk563U4YlX3(Ef!KzL!^eHzlMDLDOt|<}&sRreXZO&Bi
zxgT7Z_k<6AQ~!Kf<17JIzuzx^{6+y^qmAQ-as@!I$@JnmF)8rfmF==7ivs(<OO=ed
z2|;e$FX~Pf8Q_(y5fk^Iz_^cM6g6BJ%w-*K>=2TJicyzpdrb;#o2r!wDiVQ!mOEq#
zI|X>5kn64}MuD?+{RjX2A;G_0rP_VniZGWp>wiLq0zI+a!_)vVxY;Y*zg=7zrYCuu
znFIx%YfqCcC&a-f#`@UoeicyqCR3kwiULI!cib?zAPFJLgU6=cslu%*`!b}bDd0Dn
zb>NwoG>A5T@*VL|hX<x9(o;!P*z??Tr<sK;&{YmrpZTHz`)!|V&pPS=O<~w;i={kl
zmhG^Pj@1Mq?~{8ruh#{GDBTy_bVWGtqrG85MjN8W(hL>MX%Lj-oNMZ$1Y1e-?bn{H
z&V}O)_uy|DNZ&c!Rvx1aG-Cn%qg!<#IXmQzPA44->ZHY_@2CJ@?!)gFzUYG3j^U>-
z+88iA*UTF5O%*DXE~_pV(V+a4q*>9V9!P%(_;*}G9qvpOX2xxx!?~H-uQ&7!U|-6Q
z;sd)hK;h1%1x5!QcGfD2%U?Bw+=9tkg-c`r_O8#0It-{dB9WP|Y79KGT)7t?X@b+g
zVEPt+1{AWItz2p{ftpU;n6)ih;NqIDmg&a;s&=KE_F*$fXc(*0t<{EuW^b%m)ES^F
zGb(1!SO?`UO|-mt3eeJ$+gHlz5NgdmJonWCtQ{i%If_!D^0{L5t3Nb&E7cscv>rfq
z^SK)3NGe37+%Hz(q(Mp)ontGvC8T}s{V(GZ6%L;`vyV|v1;3)e-#OKmaNsD7TPT(a
z+x~Se21{xKmd@J{>#e|FRK+n)jtbMASEBzh$UyP+V`$e{fgA73WZOgvT)dD@($-Xi
zGtbIhxjC$XPx?C3uSgqSriMB8uilS!)kOa;x;3mV&1Id<)&k3i+Z(P@<bgV>d*y<;
zHK=B?3r_fGLXiCDJ9crBAU5}SB2?2F*z!l-`7CL`8Kt5Z(*z0b^LnwqTeO0Fc@?(d
zM0HqT>0u35;D@5ckDg8stU&a2{)FUjRq)?h9GpJQ4m-*kDh}?lg46bo^>}?%V5{In
zVCcdkK_4mo`;gTN7@LYOj<hHN+g7WbeFuLMv*{}=@|P?@uACWOWu^!#B_r~&mj(z~
zvr|ed>XvZ+V@`WSq#PjCze*(UI8%$Sn_Z$Bz*Ert5$^?Qu&2!&ExOywTxMxDJ_!Kx
zyUB}v0}?=H)s*SqIm9$~Jh<-W6#{N_H);F2i2?ubW!{q`V@%sKFJv_zT0mdR%OcYS
z5#XGP7MR)cgZWQ>?%nc-b<obodnvkG2vQX8?HW*=WWL?i{A!kK9ZZ(RZm6#1hbt~l
zFYjHOWNue3DL-s%4xA!cWEU+SSo?&{`=Ih9Q$t#7`T7Af$Yu+PY@g?Zg+ConO~!vP
z<L*hd`j(r5Woliht~@)45zZ-FY2(atsV&X1(<VU6`I6kUsu#u4CP(t*zA=@4cJSXb
zGl6$ipL+h5tq@bg2}<{SMwu^Nf8{+)HHL0k(SGBH3xvkkRL|&x!_3VRcIRvdjo`H0
zy9Zxw{t$=!yN=R%zc4>+l0$xTBUmmqURr_Q#1oyVm?Y0nOsCl@*0w8#&~H^7#CBtv
zIL4-Vz=GM&Y}Z~lYQ<s*%B`FVn{kp*TX)LN)w`GJ^zqrONw5LjzOn5}_rP}|XLh&v
zXT5GFBfK>rp;sTC-x2yIoAQ<5yr)oLce#yukmYjv7dw40b@TlZT0KnMu`50}=GerH
zyQZ>p-4i{KjBArEb@@W{bUWUUoqNpu`|oCXu%RBXr92UHboxwmV49?xMJ4n6vu9V<
z-($d)jwz*Vs}IB*+iW?Lzzk;e2X>XadJO3EIQCiRct7#u*SAw+aD_1N6ugjGONSF)
zV?y1w?}+CH!Gw)>6(K?AG-<P-L%P-1m7v64;<5Wm0X^UmaYOPfr)>)j3ah>y5mV|R
z>fclPH=b-HXxV3d#<tMFt|8NxMeYqTG8>SrrPoZT1}T-8bm{`dD)S|I?`tAAH7fc_
zdn@7UGG~}OrvtVP(~X8KuZh=o)NiKrF5);}Y)Pkz4j4LnKXrZAP3X&%GS($_6D4L1
zJmp)caIyZ$-o+o?1ntn0h3@+|MBf1tuV5MlqMA}eCrw@xy1#TTAK37g$f_BeeAT86
z5h32~tdCz4YeM5BL%aJ3)5lgxuLZTCY-WTa6#j;=|KaBOIDUYzj7p&V^3;N+g?!5)
z&mQ7N@z{Muw@<{9q;!|?ElsG<pAuII>m|74t(rZkgG8j(?lmHR$RM_rjc>!lw}kW6
zV~oI#FNECQIKg*LWXNz?vn|W0k7yWCjWf*{Ci-^xDmavAK<LiV1^(~-M5RoObo!A|
z!Yp>X|E9GXF!Sy}d-$6Hg1>6Z`D1Bggttnjb<civ7~6c}oz=oeVt7PzD81)9u~)6)
zK~t|9sK#D%{8I6m5I3K8tJ^$5gqF>m7q(G@1+w8aR*o;kv*+QLk@F{!8uaOX>3vmr
z^RzZ5^ym=bbS5?@DQTMUDAhies;vs*WBdzA$|J;R4dr?c<rgvZDX^>bmI|CLc-gNo
zGfG@N<eT8M{F`WAP;}>4RRQ)2g%jsy#t7s4pXU9R=Lo6!w&yj4%Fxwuso)NIocLT<
z_d}HNmtYqtx2&Nm!?}6hZS$8Wh~sj{Jq!vKiRoEVrE;AT?6D_tTdDsf`j-{9YPzlv
z{<9`oavPMudsoliv{iihGz;V&yU7AY=Y%bKJ}AOrs|cdp{udE-UhbT|{TlGO9q)HK
zdes+1ozd=+nk903_fm}{*<otauiYob6`^(_w(`2nAEMEA_$-eUC%lRkuHO@-0GEGx
zFT1$?C9>8pRR3||hJ}Q)wbV9w7+;ZhNqfFX*uJj2b+3^Js#Zd--O`nZpE^aiDq>fN
zEC1MJjzsfAy_kG>;B`4LwV8hS>M;w@b{om1m<oZTrfF)Zx*T{)`Hpi0tbtkI)cL?c
zVF(0`v($Q7h;Vc;EHGk+eWz;4_SGa995}G0XrC-}MoyognRCJrsmax|Rt#FMy!dd|
zKo;hz6&kKbal>@GXVRZZ3CJ_-+3F`J3#RWxe%Srs0mhp{9_7B$FuIW7m8U5S(NFb<
zTCej%<B{loHUT-vc$6wM;U^2%c5lxR+av_^OS~I*tth~se2H_et+H_Hb?ix(Sz*|B
z58C$TD1qaWE9>3}IWXw?2gEZH)c@vd_1dNarE|S+Zu`r_uK2_ZE);{3h6k$Bpa$&w
zo&9nO6`;Om|7iZW1UTMriW_&-0KJfpl;g#U5LT%ee|v*8+|OQi>Wb5ZxoOhBv#WdG
zeQyts_JAzNq*Tk0y0qcwp&+kXAr%-(XbxR>QvqHt*8f)tIv{m}OJaMSDjYiOM1H+V
z37plGtlf9fpwpu5RX%eS7q@91<ZsIG-dgIld?_7X<zEmV)YXLh4o0)@vQ?q!#O21E
zDF*x<$W`cD^^?v4YJU7atN&Ofx@6S#L71W9=M}39j_%U#EL1YAmoSZ5XK4T}+Y2>q
z@6lnxZt~l0HZ8clq(Nq-8$vDr{%v2!^}xM!36guXq4Uv1r`M1n?Ar3$tzefS^vUus
zCtak1>D7d__Uny+EzRVdiLeQX2N-f%>96{9p8>rb8zY!}aKy!a#0)lWQQ_aXi3aq+
zhi=eq2scG+&MviBz|Dz)m!88kIDc@X&D5{~)Up53n0f_p+{EZ-g%cfWDpjQ}#_EH0
zsoUU?rWKfT*r-gMq{GdPY=R4U4EWO4<hW+LHAGtbP1mlz7q{p~%=ptlHc>x>wA}_I
z)eD@19O&Q_t;K(psSTd9pGN`|*2BEHy7{qQ8oYUsc+xLI9ay(VMe5|Ohw86SR!S%|
zcv198WI#a)F6QJsRO(v~50q8@yIiOP*1;2f-Mo@u<g?3<t7kpfjj%a9yF~$x_X+K>
zTlwLSeotIx&U%QS*wCT4R|^_d$u}sOe+j8eS5unw*Mom8#VUh~43aDg!LPWRn3`()
z9&D<x0nLh9XU+^YD7(!gTi*GXDdg{BVJ2n+cFQyJeiABBJrQ!lSe6r&MeKN4!>r+4
z$3AA`>fPn}R6Jj&#g9%pkJB}pt)N<M-`!jJvcN06>^Y|+jBP4D84N`$kQ%QHNuo%?
zvddfcwd^Exv!4F?Ho+2T?m7Q-Swz92c#}|wnJ5l~{~q2v0-##OQ6Qi!1aiN)mT%6B
z;^ax^bf!B1w`puny5?Gt9OZN@*d~S%j^+v<a|q}>z1SmDxdx0s(bV?Diecj3n}5CY
zEa0JCgX7Lye~FQZ<6RrW#Be^_B4GCJI*2*>G1OOelE~*y7m9Nb!>&!Q>0WQmA)WVR
zM!j7x@seRx8!sV-5Z3rnj>jC{iHoU7Uu<T+yF&c#9TY{5S6Zb*8_Yn&qc%yOJi^pS
zZDr4@62;9|y^aN4GzBHa=0xw1X=csW1FD^8MR8tWlrwYO1Oi->QYO>?Fz+@vEpZ+e
z#mc%n=HZSe@TxLtI6-!qX>Z3tPmL1A(1_C%t7>CdmbrW0MuZiw-CF5*ct#YxPFC*@
zRx<|cgNB5tFB_UZ=ct7mQFM5*Cn_w@2y}d()g>fw;G>8+vekkpc683DtWhw6Cr<x(
z|BK<m$Ye8*6P{u?R~OzpT4)F%!b2Ylwys5|#rmuh9b(AJEQn?`G=v0oBF{#J7Zd*8
zEYI{6$Npn)1~;}Dz;2JNk%6E2u<kuW@H3ADzWTRuq;J)CrJblLcFz*PnSG`zr@AE2
zYBY18UBCby?1^3HrzV5}&$3CWm6CYU_8Zgxkv?Q=?6BL*DvW`rGzx#*mO|xWwi|;7
z^g-_QUB#<|!nmPYJn{ll8q-LHC(9`MAQ@OwD*QqONwNp;dQQsVA)bDB{TV%w{q)SL
zxQ2vkfhmO(hH}{XUVyZMdcc!rQ_WK$ia(F<>KMwF$AD}6g9VrMz(Z-^S=n7N^i4Rn
zy?L!78oU1)d>N+)1^H^ct&QR+T$9tb*sX~5ceU;thUkH6)2XGv&k|U-chGoOkrH-z
zinv$r)`PgCmE3lGQn>NS@9UyT%IGA~D5$(&53(Y6+#a!&#xlx3oq_!-7|(UbZ|`wE
zs0pg@k4Trnh>tV_%63(3<Q=CSE!2Y_S#Jv(#$?f0`UaDKvl^DMI9j>&>w%B;)_!o2
zN1Z>HEQB4@F?&vB(<^y>Sfqqber;61?v{-iV5NcSVW%#1Me4(7z};@q0!8$wEFLBq
zk@3dI-cZgD`XEsrG84XA2}}2nZ4Ob@#LU_kq*+e`aL%mQN2V&HLfqQ_(m1rRt@TLw
z+Ytje>%Gn{eoh&8ee85G@6p2SFW0-zBpE^_DLvSWse-%mUUb!*)5eqXE%wnSM)1XR
zu+{#QD#~gHdi^3(@X*7SBZrrbpsw|aP{MjO4EM?T^fI4<hV%eZOP4VmaE!Y9en}0R
zk3{%dPEqhfePPb8%2ixUT}QTJbqtf4B)u1)qPgjl&#gJ8U|({lCDd92XXW>LE-g?{
z{`hwJ$TMb8@6Gx<rBws{mnO(gl@uh>(szf&n#298_Y&TllTjhaxka2xK}P)1?v|i+
zu=Dfl-`W?*nC20npB}D_TsEW1mQEH>`gBKFRR<YEvT6JRiCTC}NnH873IRp6K1n9u
z$>@GF(4TL+CicxA=P4Q`K>kQHkMjr_mHKX`@CmNgIo!{(ZvYS|sT$wJB;)B9e$%#j
z>UhO2+IBe|K%DVY;Ot>C9-OdvX(+0OD*XptKD7XpEfh2KM95fpc#k`8tO_dYZ^Hf=
z0DiyOJ)Y+^aKntWslW#%+@M=kaF^E-WWVrOv`?vHXG1}upp7CPt>*5%FKP*=E*4mG
zo2sK9T|luTTn?x2z7@D5U<tE{k`7a0YUna>V1q`IG;++0o@riyRh<Y(E6-L%9g^Hn
zwpS7u4{Lu#_5%cEh2@>RuY!*UjC3Yfd38s1QsL$bfTM|j%&xa8V>`QntBEEFoli?x
z^Th&4`qsT%`ly6sYe~nPEQImDPDejm0>I<SWQNf%MZEXJLQ7j;5JhU1MP(KV@T<P;
zlg6uvlF4bAOObqdv^gd4VkiNdtdE=LdB|f+(LcUvBOcTX_4A2&Zvnq&3&JlI%A#TN
zY4)*$+}O$=T{muR0Y{A<xV7@jpxwUIge-Y3Y`*7i_^@OhxSW<qmOn3r#VP^Src_R(
zwm+=%7gz^Fuj8RiQxe?-7D6>Ia^TWN1|f0K9JU;4Q~xk1j@nJVTt*u?@by&Y+^ctH
z@S=;~DX~@z%lb?8ST=CrUb*Zv4={uA7vE10-xkHEp^L2&Cpd7YO!t!6ZBw}DVz_4d
z5ea)T4sj^_;y?$X57sN<rf@_2g@O5Z5xiWnKxxn9ME+1tt)(Orh&mkqOwm9D_hq~Y
z8291AHeIg!#}|yjsIv2W=M`b3jqQ}Ncj890yPEMT+!*GAS|k1Cgi-!Tz1}UqwYb1t
zk*F|X1l)ug3_cJ-hN76tjSD=;+rDY$>OLblVEk#{w*5lb=3G>E`ztSMo!0yl`_mBI
z&QykcHW9+o+#bK)t^Bye47oFQ*brp5Q5Cb~gfKY5I%nXk0CuQFZWiM-go%6Wo$pBq
zp^clAZoGpKhBZ)Gjj|1Zt@mVdvW5_9FWt>QKods$HoL9Kx(0CHGQacKMj`YGijj9x
z7r~Os{qqiO`aqX4;wL8w;a>f$%TFmJ<cg-Rya?3?h<cc+^hO99Eh_!;Y(#NPN+))U
zgg(g7pPi%|3geyli<6H-#qh7!&)Ln-^+1Mas>iTQ7>f-4ZCYC<j%h{azqD3)ds}bg
z7fnME^n9_lWB;-QTF3L9_A=3f{Xg^brQV3(iPY$TmR(X<64N;vyuyHnLo-Z`BoaE%
z+v>i2l16Wp=AZMe44}ks9XPR36pwQxuknhI#am9>FV<XVz|qN+3%fPM@N3?a{h2cI
zC|cjh8F+#LA~Q}qIV8l9#MI9(dar=CWw(-tLK(1g+>-r*j0C<BZy#6dQ$&jhopR|t
z45(yjwWS$IVsHkndTXZ=O5DHoL~t(yt{oQo+rQf1?aBbN`<=>2{hPS-E|vkOt}K5F
zDw0NY<=|22Q^D)9Uwv|O8L-LXU{b_C8C)`-*A)A%iiB;s>6vy0m`TqJT87Bs(LDuL
zQ7r2CZk<4SkDwkrnvVVU<eNOs-r2;wAf<r~IwZxC06j2%>S21@ToL!xlA?qdtGpF+
zi6qso2ag-MPE7ME;hF}?zSi}cC><SpUC2Qnl0&kex(q6z@gQy=a?!#)iI1<C4d{cb
zeS#_LBV}yrUD|QSK^yOd-C7wxVE`AK%`N-0RFL!VPyKdX3T9oJ+qDFSQ0jA7(K136
zPi)lMZa+^!?(33Ol_Exv+_f#3;-H4!#SFD)xm0wEKM{86j}i3Q%EoBOsN=syE9q7-
z9b77&k~%P93<Wzh8+Qz<qj*N^4qYD|T$HH|B2AlsvBYWW{cH_1KVLq2G*|~uOU`bK
zUNHrqvh&VEtGb{w_o4EPu?|);s$DCE%;C+uzxw$tWaOP{8~NNsMMdMn7h=lmz&7h|
zShuMrlAp||I}1^f#Vti5nqmQ8+uz1LKdXr=-bZ#bq$p?_I8(n{lYqWlhp;`5HSzCd
zn*E(&ElhHz-?Uo`K%Ze5-`}i>!=E(dvtl%{IKaU`FdX1|>9@8EWttdvBr-&OPy>T?
z8~x9&>cYp9l5M3Sn%Jo{Oixf(N0qN?-+F~C0rm!LDB{q>8?Arcet4*2vKL!P&3a4t
zz&z5J6-UOGQJ?Op#wjDm$s^VkftEnxTFOXyt${;ZRyYpbQpAXeLjT1mOHfSg9o{9N
zfii213zQzpVN7wIMogq72oE<V6w}qQs-gHUua`7V1sx4b^|u6HcdagSD>anmh=1B_
zD1maP)Xx7VEa95G*Eh;~RlE=_tIOCSim8cb<0^zL;mlbJ`A9+q3)^VDi#@_P{a5pO
z>pOtO?VqRH4U{qKhyhc=N)VB1pyqN3VBt^Oz6^>I@;EV;R1<iyN^bJFybHk9oY|a9
z8j4uuSjPz3#*JlcC1sPW0OcnxCwsZeW8T+zj<9wPoO)7jcz7oPqxF-P;-RuQWL{de
zrIig`Bi1TqJhlMV_sazj^QH0GzNYyB+cnr|^H$PS)B=ib{0=%dC5c_L9K5a!R*W{3
zb&?BN2XkYg1)qE*a2F??4-#4MRNpVIGmYk87wu=S^<50lUs7M3Rbj!5wx92g%a}vW
z5r&3NwkUGmy<X8R%!0{}#xq-^%wWJ+x{DM@!pBb19kB!p7X0floO@#m&mt;`Gh0OP
z$9|!6zizPLaL)mkP(xF=XWF7Zv|AW;S(o-*F=9m@8R3lMS4==Pm&cxRK?q$Z>!-=T
zS<!nV>DfMZ6DU@nbx1`)oQpqYmGNc`nmJi0Z(Y?3vDYQv$1()4%1|+8>J1xG6-{>R
z`C<fiP6w7oF7soslzCXt3_D)<k1g|_rx8dRd225A@L^C%xS)VGC*I$B)y3<TA^aK&
z<alV!heCU=?Ry%}g}%pP*M_?o!f5x5%ZJarctBs~lJa+Mq+C^E74J5H>X)9@9;Lj9
zHazhGVLX^ppZsNymjQHyXs2u{;Kioz2L&C4`LM#cN&EDOK5R>z+h*0ki${dZ()m01
zF@tj{CO=9aBK2%-N7wS<aBot(ZLuJZB)fGE@#zD1WB(t^BYZgLDi=1>C4?$<q`@=A
zdJvj?Yx^x>ezYjDWI6Xy7_VNBis{>+2ltqFwv}}9;|`OZqv|Un_)H>kR(_fRV#mmO
z)M^1tq&%Q;(M54k)oHkPHOH6U{@bvbDTq}MZdfE9Ud@%WUM~gR7!YglqweuxA@m<U
z{bRI89E;t@xNZnApl25TTu~FoYoCXGlN}^+msIu#mTo#UOgKy59u>y*C!hVe`c?|P
z_~%cyU!_CjRR+uU$0F#u!64BhK?XgnKRP~(po1HU5oc6H!Y9U!QyU363}4pDu5+b>
z-_uKKjYXokwPpF#P8kK<TXwrV*NhJ0t{*NOuNT8GO|HysDT=Fnmd+AGr^Dibzl}e~
z#Zk*MT_-M638hv@ZBhDk=q48$?WIYg+_-E?Zm}}<eE)E+e?1+-$a!~_&r0FJyGL&K
zy;Q+rhq@nY0_otKEypJEPa3sDUHxDEQN^Y%hsc1-beJ~wee*F{7N>&K#7|SzanT|2
z;PH=i$g<k9?KxQ<N0Mlo_Q4uxwsKEz*oXmPJGOBg`=EfE-e$O_7m<-Q;AS;P5d$KB
zE^N<S%~vyjy|?}x(nJ>Z-%8e0J>Zqw^YVDT5(>&@_%29lBddT_aDA&Dd|8(CXsuMn
z)8=Yy#z4Wl?NSdcPUyqgr=C^nMJiaPT6$J@GZn|2>o)PY8-T501+6Jh6=7+Ee1feG
z#(Ykddc4jMie~vpwinbe`PQ9!K2cp9DSm%mf-r)_tP5NZPN-wxu#ML4DqY<2IK=dm
zhcUdDdG2*1NCUsWcolMihlXu?96jzOn7~ImA*N_S#)g;!rtUH{T)X11`(L#w#PWZ6
z`getlEgp`#4qP;R@4ugCWyTCXJ$r0CcuN!0$V7YXC0)Gs-{6Km`a1ahyhE{+s)e7e
zd!|b|b#UfU5otWw0$7+93zssq@OCQYsdp_EqxE8A<^CgJN8sSZwRSCBll_z#<VL|W
z=kB@O-3)M7A=B~EM=cz%(drT_)53BFukDStRsOsZl%?=g3;zcI0RR6CmuEQD4-|l}
zot3?1kLzCRUVHUB+)|NLN~J;3HcF8{rR<0jvdSn_DjG_q_#Goj3W>~0gsg<@@$c*T
zaL)6b^PKaZcVG9n;fXpbuB=%bsc&cv>pQ-L9Sx+RthHS>tx5xFgPfm7BCX-%)3-W>
zTr^ZTe5~%=O*P!_+rQ*eX$?<j&y}4xtcA&kTs(CBRPd?xF}}$GYw(zNJ9{pNiVoi0
z<sF-p&`m;MoH}C-Y!d=Wg=Lx;`YWJG^gnrIcZ0{oxHXhD(r?@>(?Ibbjo~$k(&%%n
z&{Lz$8diRy$sWpA$FiZXr|vC_<1eGzTdW>h1K&A6U7ZLubW+H4s;m(~dVSG5#WU6*
zku++>wo?^fIQ(!k9}>i;c4KQ#8CZkopJQ$@nksm3{rr*7LcF-mhAbod02DS`i~X2U
z!ePGKN%eD_xV=mNnNuP_>O7~xNVXy#2s%a<-ekiI7PLzS766Z;=L=@tSD}<#)FE<c
zk@Pg}bXG?KzOPei?gTlMYSMRZteYjNO@?uIxe3VpdOS<TQU<lJ^#!I>Op%#!_K_+Z
zSA#}7JwjlY6i%G9TsFv`Bu)JH_}C;^LF$uN<;7_dC}0#7czWLiIU0QW(1vzPXc|mu
zwq6!P6{~GCZ588W-1*09it3i&*Wt9h5G{(=3Z-QYOUB8OK0oz?r!3&(o%?oI%tX*F
zt!3)~eS&n1OgkF&#vIO^*SWb$P#E1qB`6E*lcfDr+=W^>b4a<)*VV?o5;>y|rcLVn
zCELm)zB>DxLCwte&&x&vxTng=AtQ5&+^Zv7X5DNGfpXMeZn=C&pA~;ux?zUoFR<xP
zG&Kdoh)YMKH}T@^O4Zf18gt}>qZy@}vQ0oOs3(cSSb<$hE<Y3X7RX`tZIeC%CLrC=
zzTm!|2ZdfVyq<SmBIzNO7L#X<fsGbXbM`7XrXLa)Y;mDr$BdbN+aDts*%wYa@^WKn
zU0u|03LDNonXObfZUj|sU#F=BT=>}Hg?)HGJMM_j+*&hW2yv!7zjFe)Q1!i=@ku*Q
ze7o~*NY^n#@G!rLk9@fB<;A*0jtVXu%)Y>T{Eq<?8&*rC#Bd?#D9=tg@?e)(RZ!Sj
z1L(h3>^S|73r|e{qIgWLz}Jg~k|1CJVS5kns@3Mk8}1@LPoMK)nk3hg@@ytJZC^U=
z_JkWZJfxeXB@3YU>0R{<b0%m2_gYsM9!$~S+{~7|5~l+unk!ow!1<`fl2luP4^&L`
zV)h8*ZRKMj#b+5{cUvvKMuZpF6(`mwgovP|rgrpp4F)(31>F`>;ltVFS=-iEqPV$?
z6*=Fm4{|MhoF|?6@%SYjMGZl56r1ys6OYvgZV%N6fky)Psp#+%$1@UmbFO^9!Ulc#
zkRS7u&|ir}kRqMBAc;laEz%we>cenV;z(wz5PIz*lmjxPG5?f={_s;hQ0)0|!oOJ<
z?;q8d8`~p`QAf$P05?5=snttSpGA<kxU@>jQXa1vwpg_(>cQ`|QK6xOqF8*tc8{T@
z0zSMP-Kg<b7yj&*kvl9cjv5Qj7i9F5Fr#FhZ}ksdP<y8|rRyqzy9Y7@i7m=VVb<>O
z8qx*Y#eqMiq$IX|G-~k-SHX3o4f1NDdT__EVY<;=8YMb7=0s~$@$fUVVp|tIaF9?9
z8Eufkd8(F{gq%8x3*~=0|5gu<nd`o0h00;S?kIa+kOmTl%WYqE^}+kYU{Cy}Rj6KM
zHz?b$i4tBS;#cDJK`TKdnaxNM=QlPNzu%>W(U-GN_wzB}(QOKyBV7qSgGzP3ex%{z
zUhdN0Sqy019~P37tBk32iG&(x<LmXwZ5OsMp`7c<37;1#_{o~~XfaO*S3vnmIb{RL
zX;~Af)1-<AYSxY0PwQg$n!*!Lg$#kSMAYNSA2k#l<0nvDA1_;Uo())K1OhJ(=gA9e
zU<L1cnIozC$hOMXGJ1nC_%>u5DbvzKf1Rykb`%CiO#i``S4|+;d{$r8jEdS$e1(74
zGEie`jnmd~Q@B57Vyj`Qg^^=!-d64mOb+uo*LTnydRrr0S1HkORT2F>Ze^g$z--@!
zpB7NAY<o;*kcJ|M2gdz`8EBX|N`G|N3R2FT%d)&e$Nu9Z*DTWY(Nw|Io6@rycD0)%
zDD!IL@f&W7Y2Wowm)T*VrvVUjkillZRU6|yUmud8>tdV+^VNwu01-a^w)jKZcvm#^
zoRp$A#;#rYmg#B@=i6!XXIa{4`@%&#rcMhtIEZi2ZMOzf?#o><19UVv`%6@DohD}P
zZwn&KZ6KcV8DIw;$K1sl3Uk$Pv;NJttaCPCxWWCpY$6TWT~Y@F=9Tf~yyn~492>Zt
zC%DP!rWWp6dw-w>6)@uLZEvSS8@Sn6R~mYeinW0od=9^tLARY5XTD_GKyUoi9o@~E
zm{`?tHrzl0$C_$~BLi$8z-{Kv7K#SSwjR2kCn$n`k>{B|R@=ZHqoacZ*=o2^oV<ze
z`7qD7WaQdkYdF$aEs<cRifPx%8V-hVB7QM+HOjVz&o8cq5{=4uD2`ZbcyftstlaO!
zV`B|b-KoQz-b&~lvGc{6n!jY{-j>^aT>yi<B2v>@3P@S^;of~5A#;-`n+*K{Bsmmw
zPAAEs%a5<dqhdYenCFtj7XbiTXHd^8Wf`1Xa+-?U&_c!??$3y}C1AS1Qp>bO61VSi
z9$=YNlX2ZCZ<YO4L&3&t?602w+f$c!xv{?r$rBgX@0`1B1xc6Ly`Gne;`d7Bb17T)
z6B}D=+$Fj!A#6e;Ja|$Vb9*kh+DoJo`Wo^SQE5xK6~3{2;@(OuejpKhaPlINKNA>g
zyVC-S&&r*wKz@9mo!AiMkw)IScDb)P!yF_XvKpH-c=6Zj9Wheho|03=yW?=c3?hF8
zmV9gF#+BZ~CYm=Y$rbz0b&Q#s!I4ViV!cnCXf`n6(P;RQj9QN#Yc89D(kYPtBFKTK
zlcf(W4t*w1hEsPY448o3yVACAk!)CLW9}xe&_RCmQE7a*&IBU;2wN{x3dSn5cGKQ}
zC*$@gT=%_i3{A@gT@NglNP$>g8z1Ff^25c<_9tS-&{Flr+xOrC=>}aF;$!>CoqRce
z?JpR?;9?p>sBeypsr%eZ@C}h^N!ym?{}{qpanc&4;#u;slGCx=^igtkT4L*pLx!-a
z?$3Fy`WZ4}bYsY0#Xsbv;C<@UR|Al2>9zYwn<2aFlwbZ`8Yf?;1=!Z_Hh?wFrHltv
z(_{gY-tc>Pk~C$xsf2bi;cn}>GrXzO<gSCx2@)ey<hz6#3(9^bjNg>XJ9=}PT$l|#
zE6p)Weo|1%U;T>#0=p&qe|Jrj!Y0P~vIg^{J-57xu^$6cW)FY!wx1z0xzY!6Ll#LM
zOuyB`$pFRMa-RDKX2^X$>3TOOmdPPUsj+pb`fz~aUe!}HONusK+@!sZ4R7+@?Kz^S
z54smOGYbmlNZZPBM#+74oN%2q%SqCMePnYgU&}n1H)RlbfyRjkc;|{WKIww%i`ecq
zokeo}3I78xtGUo6vEf^+lrF6JIlnuyc!_j+#39fU#)EcwZ55ISb>Pvq+Z-Hb|K{~>
zS4_x3Ud(f~x*`2a8#w$uzZ_?<Va+?f7dbxs80t8wuqdMqt@+GWiY+^CTb1JOep?VZ
zjlEnpgwlbsB{t<^00;UUNX!%C5ypM@^PFx@(jZ#j=b^xRPBh9l&8*!nf~lW^j(s>u
z1J0RTi#CEAi}D`B+j3Dn<vf{-b6W5!;Av-28xPueEwYjv#8G+FZ#FAl3kHj?^^~Xc
z;{B^)Mh){4Xl@f-P;00K1zQhkJ&WYWQ!e54s`XMBCdK)sXMhSeRMtdtwjhdLS86q=
zmBDbigyqgcD$HLtk!l?hLiM{#>T$p2(815Ai7lE6Z`S%g<~A0=5d38sZLNT-<At+1
z1E~-*wmZxxK@_FF+rJgxuY`_!{2BZaR5-uHRz4#jj_&5al25%<#`-EQ$5#bZXpHYs
zbiX5k<rg(r<}_9OygYS(?F<!q=1P0kyGvn`n8PNMA~p19mBxA<)q;dw><R2PGU&c`
z_We004dkjnl^erN182vi<*+q!Xu>8GOXH>DRGn-^NHYy;#k|7wkFUZ&t3ak=qZa;o
zY1#a+lMcD(d7bl~DdGi<*z~8j>G-aM^{iY)2TC{YZM76p#;33TV>=S2gC#nKD!zrf
zko^WT0(Yq3T93dB(fjmJ8frttSo)y!Hv6>eeN~kHn`9J}tdBuIGAfI9FyQ3DMyD!X
zb(}ZrJAdW`17%9|lEqS(z{$&#=jyG2IWEaVf<{a<Hf4EFuo=Qp#i5qmCQZDRAzCof
z&cs9hYV9s5MzA?zwD$>93+2|kt(@6mfK}$>8DiT^AkZKy&n1k8SC=aq8*dt5{gOg8
zgJ}lBmmKA6U(>PLI416Kp#cv3ouyS!E#T`W_N4Vq+E{yGbHjdr1AJT}>Rn2=f)OL<
z!yTnM$QsW6xp#tzo=(8AN1K2t`5(?zCv`Emz|-fODie=!mfjhS1!%h>b+_%OE^aQ`
z;CY9Sfs}$B1+FKp;XmV*bst6ba3;#<Li)e{2qY8+sae=S=QZ27kqKSQch9Zqw9v*`
zf3sN09vcumUL&6wrHhfm(Gn;B`QR?f&(bA#7Ql>XVP3rsis^8C=rmAAt{oBgMPIQ%
z=hp)jp+;@&G?eq*oUDw634siS0T$dbjxWMQI{x?~WD`b{$Cx{3k8K-afqm7T)eXut
z<oR5`cK<)WnONGg^~*;V#E$%IdK^hbz8R;jU)Ks@gJsKBu>=<QUyGG>{iuNkO+#U$
z6`Z)__a#`^iUrR)Zh0qgsw2PP8K36RY4SqGXi!VD4GjKvb)_1rVl}VV>10Ybx!zMW
z<?ntQSQH-(d~`?|rKM{Y);N41UcICgS@c;$YrpQA-Rl*xzAq>~Ibe|3mY7FRIAjfT
z;VTE1f6C#7L;n@6i<%@pHKhqG`~=w6(zNmGLum|jIKol?ZI(EFUVbtE5Wo)=>0`+c
zB(UUsq`z4DBBA7wG;Q#i0M`{w&4%Aak-mDz_CR(D$R_qW`u|uBPoIAdO5Z4q?cLk#
z%8Dr9$}eB6G;0Mt`|w_E4?jjk|Nh>!Oo3dl0__ZGD`<T_+ntxegW?$#3<owgc(FNc
zX$UMKpf7s|qk;p44uwsqe53%MVn9OeNeh_ZnfGzEr{J}U4)L=A|LV3JRc^Rv4nE(e
z?YDZ&k$d(wo}XMv0llQi$&ev4czkS!@L<;@Dc;afZ)d(tOze^V?Pg#GA@UpLZ}tBs
zv)O54#LgvR&n{8H@eot^#C&L*rrl542c<7Qk60v<uS*h@Ehb=cc~f!km#<`*vJheO
zVS!j*!CCFaFoA6!Ps`{DH<ElwpIn|9FA(n;!$Zkejp6ej+m}Byi%37VOy>Ky^MtUR
zP3i9`BlvVWhuy361<|qdNNjfaJfVMjw~^s~BUpcZlVyoO1L3u3IG}W5o`7O?ZCZmN
z==&cOahY!=7BxtkTkJex=$UDf%`$`w`_lN2Bzz~*1f$b?+vkaIiUV1muM8l$Sgbp1
zM=#Ol?i<y!XMw0F+<(T?!~g;ks~hXS_7kapZlSN(B9VQ4%eT<yOc2TGdpvG3L{wa%
zRy<l>BobF{IGbw01ie&U%XcS7iHzqe>wl^&6B-Zp$X>5xfV%ZXiHW)~LcHlwmjgk8
zo7|J<&p9$+$Gx)QQ~SmV<Azl(d-&MkjC-M%$v1tt*!#H3abkj~d0_PM%>)}LZ{1S+
z##bLEPbThMb@eYXpZq6hbb%dgZL{WReEQIhXMK&VrU|?6JW|1$oG|ZXU-#8c4@R7?
z@>eg+5N5F=Zti|upitlCye9hJowO1U?fpDQ5S5ma?E~EK?9c4Vr}a8;L-5F#%-RLw
z`{;{SukaPHDR5%QQ$YvhOHBs(dzJ`(hg+tLc6=an*hHnmPaBHQ$v75Vr9fVsbonbn
z078auoKk3^gQerH5uX}1=uepKU>;fte|ufkRsbE=T^Y!@D$M~Gat<Ub?H2~ywb$>f
zKcxW=nWykKoD+P_S^fMEM1ZeT-;`xQ1O8j?Z?c8C!Q3)ryR4)b=r!=D?JCm(dv(jD
z@-iNHMK|$za8n$fF&}y-I%`49?125l1YWq3>ep+zMG`*H^R~GxQo%iHY{$SAekktl
zh}f<v4fDE8;XO~OaL8*UP^?4{9#psAIIkfKKTTehr<|ig;lYdZL43kccI3UK?iP8t
zCY|YVbT<{Qi#?n$+bRNPBB#G)=PLln3tdUxOoeNY_ir^W76t0x0?n_fN)VmY5whEj
z3X=o80((rw!3;0IKmJ!4&a9LwIdho`Eq1HogWDxw;gPIG=`mF}F6CBf`i%<pjK{uf
zGNoWeeDKkT88vuHb@2|_p#{EoU?+cs3|P#x`4?qqz+cUx>e>Y@kcI=_DzC^vji}Op
zMmwoMdCsLP_m8KhMULC5%2q*hug0p!YBabyy3{w?M+Z&E_1QHmlpt&8I?`Z?4l>L~
z<^pCqu;s<8atD?&+^R|K?&{J3$)Y4*%YT2DLAAxMz&I6nW^JZ<wL}lHBiPrR+@lXy
zK5Um>>Qx2%v@9j(Dt#z-IFf1j9|LYX_zj2Ks)Jsm-OceE3}8Fr9A{I`ge;pAN>>Ur
zAcS&v^!`331ixRh(l9cFrI0qQt>RRW=26@}w#)>!&nwQQHW|T|;~n4fPietMdiWY2
ze**|!w~v@jHGy9N$yTbBG^pd*Zd?4^08aj7l5N3eAUep;O`D~|d{RU_e~AGIOEZ+8
z1X+Mw>$Q3}ejV5tF_0AKX8_cOrnv4<D-i6T`%mMy4&?hBVNUfj;lH4Lzr`a6I95<m
zvL;;@%mtf6-FcW0F+47s@B)Cbn<7)fp$Bqa#<knO>%+ZAi(wDbtzr1q-QyS4^k8RB
zTyN}{E@a&h*qi8P145a5Q;*H)!l9w*O`BfOA<gaD6*~?VJoqhA<`k?8eNWsdH%zJE
z5PoTV{2U8J<;1UNztDkor({08xuym|o^=5_|2UW*<1se&KpT34izI22O2B#G*kjX4
z7R2#Prxm)>;o<kEHTQqX!hzR&-JXoIK=<8$7oGdH;O3Khr>2AAaB^9^TJ&EY_V3;G
z*(@q-8i`-CbA=!%3CHrW#j+sRsENECt^t9j)YhpN?65C!1z!%61r|G6HI<9iz`$Cs
z(CzyKF=bPFfwRU2w3wwF4L?+1^Zjr3OKY2n4WE0>Z*Q@I?H8YSi;62l`$E&RmYg>7
zn(z}r^Uv0B+hRk}{u~96cR7`QSnD^L!0llc<zx+bc*ZS(B?kddZCA*KPmuztVI^Ll
z0PYUT4!#kQ2Io^@$8+N5$*HT<{Kc&Re7wCQD&i7A|CRdpHP<rv?MdYuMgakQK|l01
zY!ZcE2Ug#A&!8Zev7ox%>(vl!%j<F`ObCqH<%+$`*sw7;<5Y8#6+EXmwj_4)L2$un
znYSMsx_Ff9oSw9V&rd&m@5$wc?8<fT%#X9-xwD#8Gpj5?(y@5I_ZN1k?UGEj*Jr~9
zkEjl@%@!a<y;)k+u|&9)Z(Xn5LctR|%i^}hm_tRj&+Yp18KNRG^Vrle3Q8{z9=516
zg97zSTOMthAoMmWZOZ-UN3v^=PuNPB!N`Fwj;^U;;@+ah@ovdwa!*Qu_q>NG7+xEQ
zJ-Dxzc*1VcH?whxO#YK5)n8%)qCTD%4gA}PU;)nQnXE-pP10B?SJDJRbl#tdE`3Wl
zur}m4OD&QjKNMBk&KQGRvs$OT>j^TBwOKRt#Xld-iN0_8)d+gF2Te{`Rg>DhnSLHo
z3uL6q?=2TL7(u|m*I@U-&!ku9N1K|+1#;-LR^pkLh7hY(npV)zMap#5FdqNQ^D*AF
zXjI1#2AaR;rY!y-r<J91augQHhp8WnN^k%3P@>_%;M+b@>+|*CZ!Z_gkG7vqR;n7n
zTl42JPj(KHYrM}(#$Q?@vyJ`#_U1BSLBJ@cmmDFvGm5w-l9tINV&abg?H^C?MY736
zj*&C+m%h9@PQlfDooDDp3^1blrl+ZolZ^u<?w&L@lscII#RwQMrs!q*u4;mu+_3&~
zDi1rRe6cUmXw-)iSHHd2kNzc-YL)FHIXSTL2KVZvgZj{`yybSW%rx1WcTVAz3MY<t
zm2Zz&)PuwWq3<rX&yZ(4b;j5{xUjS_Dw)kh5AF(!J=yhmj`Vk#?DeVT#wwNM^0WY5
za2~yrwKr#hl$M;^ePrhf+%|aIA*$lv-C2BNUj1x|EQ^eh$QI^9+N$>kQW84wrb^NF
zmp=tvlq|dyr}&ZV-pE^ULK_?^Z-4i`%Z8pFv%V~WmAJ5VvADXK4p*g}9E``=QNZx@
zn|*X)+{xnZp{%9Dir#zq@;f;3UdQW;HJ&1<85^M{Ptw5gS$>;BI~U5<eb<Pp6U7nP
z!!jIeX^;-A6MKVsaIpN|*WQid_~qVN|Hdy`AU6Jyrnrt5EBqWS*NsV_6XUf;XMh&8
zt9zz2n(*WCb}?S{mr~d(bRw!m>tB5R``tX-1hLQT_V{$Z4AN8CD>e^PVTZ58;Zs>c
zsOIaKOMN4UrkC|~J1VGP7sM?#wo(LltC&_z2q++*1T$jpAr(|xKfH@SDvI_4dlzq6
zE1`?8Vh|QnVPhF<?}ctL-0<D%M0Juf?lOPL`?{S9_e#ltD*+Oivg4?Q6-5;#%#=2B
zDrrHm*@44{^`)?O`?I~BVQQEkC*TT~v|ti<uRFmfgMtZ(m)|I8;Fd7H#C+v{{ODf5
zhdgq~A+DgNTd#=+bpNyD`bC4YR<FdesH<>iV1=Z7f)?`BZP|3SpAJ<Q$3vz)6*1$6
zmb0uo9ZkPQKmV$#0}^F?TT6Z^p~Ok=tbPj}Tzb|lnV72!FML!kRcou@#~tVT)y4I&
zIga}rm#IE*ZkT;`^_(i6Y_Cy`IiZi5XO7Z_)-vF~rF*3^ZEE<3dy(z29Ru(C@rQ5)
z|KlOy8enaqfpqab5-Gw=yllhjH|{ooQ@yEgA7*Oe-&0lT>Mxn-v#-vg)Y}M-J69#V
zUZCRNb(U9r%ndM>-4PzDn!x_?qY9@TXozcY*eu2XUFUlJ!sq_|?c5IaFQe%A%^<#l
z%rw9Uz3%DcpgE*2Dz8qssg1_h>Yv>6F~FSMx1U-EEFoT^tv@wh2X7FXnp)FL>~fT!
z2<ux7m0H2RS$4WO^+16!&t#$!ohe;(6o9Sn^55gtx)>}l)oi2Az}o!5533xlfk)c!
zTIhl<Cdi4tdXuk*N>@9Kwd8EzX69Jdw|-r0w-GIiPS?h&x2qEqt8L&;R~#iGQWtv-
zC1hvJwa`OJ$zjBv1(s`{8dtRGpog-;ld=MJe3@|Q;HtYUh;ihurS@r~T~+XkLP-^r
z=2K-$ZfAj~<QT7R5gjEJM~n+~S7GY;Ej5gvEXYhhogQsRLz7?ZYtE-i;+3h*zSZwp
z5U$bGdh9tBYv{+cRg#5~arNWvs6-Y>e0j&0!=;H*ms(5XqquQw^8@+aHY|`GPCfq(
z)bW<?c=_Jfb0k;!$Nd&xZGcw@EqG3=V(;bo)QER|WHrI$F7>p5)zL0a)pwO~AYf@I
zJL@qqpL%#_*|;@qvh>f7|EP#YC%xi(XMYkC6^A6@v^7LHXB;u}l*cv0Khk)vjuZ9M
zr`Ebo0u1JM%Km34gIi1aw|~-_Ar4iCj~(;_=&On8aMYDVPLq+J?Xn9*p#Au##y<q;
z|5@Ty-6w{Xk;B6rMN7o@>&yDh%d4TR^R<ggwJ=(qIB=v-o&wc6D;~^AtcDe%<7N9k
z2;h2|<gjIb3b4eL6{-xaK(AG2^!&LMC~EeWtuT}V{cj?CSbHoXJ>B2lJCzfY@5C$o
z=S+cJ*4z;`u@*omNZWZxv*GC(ajij43UKfW3-7Nohs}R>xv7oJlg^_HKPmrw(}p|#
ztrn*_T%GQ56526E((m6_aoN5^)C)1Hl<dvmbNhRykn0~(Wm}bgs`nyc9(p*hF4Yu-
zU-t2;4*eoi)^|40k`{>0Q%ggyhD~6jbG>h><PXwIVa$xPah?!(GXFTr)&y=mGalr(
zZ6OESPw3n0%oAO+#<`#KjA4RrhV{6ylH6|hC1tX3j?lb#uWu`#F_<c(_^lYbN<14X
z=C^g3Bbo-^?=C%M1YaK>%l^e#P4INMKVdQFhzk?OH(R?6!R6hPOK(S;2t_CL5`MEe
z;`Ouh(<iqXLhhyJr`H8L3876{lgcONh|r%GjQ71afcvL@{JmV!O$a?Q`&rOBM@-*Z
z-yL9U0A8Ex`xGsI62p5n4;P%8Cp@_Jy63!M!c<pt`1!B_;<Fc}b(PHmQAyPcs#?#4
zx(2p^U3Z2EuW9qZRcjZCEH}eXZ|fOwIr>fp<Jl;|zsDkmJ9vq(2oEaHaAAN%N5%W9
z&M`t$p0tY?T_*kq0096043~E})qfPn?G>{3=3ZPb_u3=A#|YWkWkgC6C6v7@T2{&k
z4MI|(q9oss^g{_DNg~NeMv^^${d=DC$9c|kp7(jZnAXLO^rt8gb-6x_*?R%&aChWz
zeoq58v~_9oqbU%y@uz=e>Mu56X{R59)53WC#DnMD6zKl-+chnI2{TjG@6_#~1DiLI
zceGqp!PDE|nK*F;TisXn(20ow_9!1($;nayp`Tz7Ke~!Z3<taz@?-=}-JQkSJ~D(m
zZSds0SjQBzcYjqMWCDYR(TX=xWccn;b;+h`698R6qQBFhi%DTlWP#;fH1rH%$`DW@
zmRZ!kjY-wWU-WcfgATjeviDs|kaw-0#VM5r61OGTG9B1Kn<ANzrlABb<fOaquW6xf
zqwA#8c}~cfywKlwmjttX7rZM3=po<1-N7xK3z{$GTiA<|AWVDpf_y3itQq}~NPNo;
z-$<($dWsZ*tH!tHyD$@|uyCMAeO{0&X^=Ujq6oCzKiGJ>n8BTWMD9fwAG8zic&oH4
zfEP-i7k|JCbGdB_A5sN?qlD3*?yLf&?QSf+QN0Uzb}KG;9v1@Lx8$-HY6@T-f6HBK
zf&&6)D-Z32ia^<ctUvo`6#$zu_!>y$0<r6zyL29i0Xc?rU}#Jp2HINA)Q54y$om8_
zM{Y?-U(0fL9g&9%x<MysM|eP!xcE)%qZDY=A9NO6k%z>qw%%F+eDHuM8CIkt1NpW^
zDU4(Vcw1g?rok@&9mIDZj@8OSLF`Ln(FFxCYTz!sH!29H2TdvkZ3v(haQVb4iz2|m
zkI56g!cdx}IU2n|1U2J=)|MBF&~4n|Iy@x`$x%)j_P7GH|B7_9zC{8a*_MnhISH7}
zHz-}qCc(a=#@@zA2}TCXqdASGpphr*6Mwietomn;mC2If!AjK{ZL&1X(5`s8d8vTy
z-J_R6Kd69~gjZN;uMAwXGjdLpqQGnJL%|t-6p*7A)sLde0q1Fvb`Mr6_@@rYT}-Ef
zU5?4+sayiocbk=|j#7bfv2*X}m>MY7KV>B{%7fvmy{y1pH88CHTr=&b0Y{ex4zdI*
zfc?$GiJX`^7}=YLZt`kD`M_^Oh8{)ebMoAO?2$SURn%WhPHMwS8`rFkj1s&xRUQZ$
zR|iW|O`nuOT{xZF;!@_K477JB1dlK3@Z4F@H*!oL8lMsGT|Ytw#czU-!q2M%bXd<*
zmJC3Q@%56lkqT(~pZ3K@)j*p@DK>lygE`Sg+3oKtkZ0C4a(12yEXA*mJzD~>->~vA
zHB^Q60otVArxZxG`P*^klMyt%3;1JcrwWhC&puEJQ30`U5AT%c8p8;KVWBIxDhx4)
zT=^lO1b<(@*q5eh0<TvVy!p<lfJ5Ix&&?=#ST-k0RF<1Sz3n59#}#DA#hXk7n`L1<
zm9>;IZvwpTciM|CD?|B63zr?g6r8xLp0UPm3YTwWJmR4!fic5Mk*u6B2uL!>V|1p_
za_WJYa<L+0-Kf_QEaQP-6~Ql?A5CCbmycHDk37Kp0~KqJS)p;K_&?ptCQxH3Eu>E*
z!m_kIqdIv9<M0+tby6|`s@AJaFIzcqI7YhPq%(uj4c^-q^wJn!|Im1+7A6BUx>;E+
z`@^wnB`dv6Fopt8d*jL5QZQxkc$cO61U}o9TyX;#f#_&f=vJLLOt91IDK-Dao7!H(
zR|6xkkxtjlauI<_20CTqJ?r?uHIJ0UmjFE<D*ToRf}k8TOy(Tk##Q<3Ljv^y;+<v7
zE0y>lLjQ0w=MD{`xR1Eh#A5Ixe)+@e0B*<_?&3YMM2r4(s8eaK8Ullt5ejVM0ERs(
z1zlluXd2fJIepIn0?mbd->R^}jW<nm;y3A#-KCe7Dy@6qumTPFGXo<W{3{g^pGb$Q
z3s15$FX+Q+=!Ycwy|fVPa$%)m4;@;RcFxTq=mVDC*go}P0~^joe04*#$li0b-`htI
z3h%0266#vQURmAQKYf}Om1k`czLe;~@3pG<xUhNb$!eVUDm^XwZ&WHJ=C=;qVDk67
z;xma!o7*1{DWE}->~CD(f)4D8ie{7T8p3D|uCC+*4brF>e{Ykk4Ht$ObQVu`V7~4g
zz5X*h_|m5)=aMBY&>{C)7BgmJt()2o9SJ-5tBld|FgGnQt9Naq7XF9JJiBR;V6ubn
zoebj$MVioEMbc-k=)-%j-DuU+*})I@zA`;T)&%op$?3OA-|z;CDElp+9sHwcjx+r&
z4UjJ57TGW!!#y8Sdm5W|@XK;$zH0m$z_Ze1mvr(c{&ZuPwIG=W^)Y`dYfV=N2CEH8
zCf6C<fyU>C(hV9^8oyO^k5e52=j7+;nCJ24Qwt7VVzlUPQ;^@YOf`5=ulT03`wuQ0
z^trvIi56MOYr9McsX<xe#Ui(BfAQL971x%})1e;Epe}L=74i|G?TW(^9#|26|5N}y
z3b}U~Qq-y7KznU*l79t%Z9{J!8O(qx{R6xfTPUDNUE8?wV-@GVn*2UDj}b|qdYu{T
zMS<D^hLHnJ>$uc-wRG+z6A~>P(m1-P3SGyqOl&;e#M4d1-d^%xK@J8|pIkIl;als`
z61q3r__l+0Yxg=UI@=bV#1pFmmYJNhtC2J)?M|$(#DBXGD~X9_zLN~L&4qM|_h=FJ
z=3;4RBL~viZZA7TB7;!ZqozX>bm(!$X)ofh-6(LMp2J+aGMIeTW{&{|l=YzT)+~V=
zO^Eny?4wZzuNZl&&{{@>x93<ih4P>|9$^jhn16Y$7Axms#f)0JeQnA|c+ns2b77MV
zN&s^ry^eIOs3n4B<nu{>bYvOx^}b1hU9U~sUJkRNiA3J;0x3bnR(W4s&WHp%9757t
zKiE+!_l%Xvst{WA6hHTCMG+1LUT`kv-;J6Mj<N8rilFI;*HJH<6v1ukXJy$-E>u+*
zYOg9Ij*QFh|6RMS2$NxlMO~P9&{AY^a#VyQx}dihcq&&B>OYa@9|iKF(S&zrw6>)X
zXY+S^*9VHA=RJQcY@QEI#iR=dyUHM2HfQ_eLyGW#J8HkhH31~G6OlO4DvR8cYCOKH
zk>HGH&&YKbAte0uvg@WT0nJSm+a_0$Kv^?mAxvKcE!RJJY%xtlSL|M0%yCzO`MqB%
z&KrxNh7x%Jk9-Am<YhDakghVgdoIK^pO8T00VB&;Hxe?v5f~7-p9~LMtuD#COCj@f
z2gVLbDWeZ#AK^l|3TXSaUKGrbMs6vb!2`d@=%-Zljba%J4BX(q&d@7^s+n?23m&N=
zl1+SBp#T*ec{0UMNXwywcxzSqDhfKDb@iy9ni>?=izl{+6VNgxi1R`O6>+(xZ|)6O
z2kZIDr>WgU)DrK#yGlU~&C9g?CXH(VW4Rw)w}Jx7w2V0#T&ISN?<?<9kJ5rTQ4apx
zvx=ys!sdgzs5&}kOY5(rrUQrlFQ2TaA)(jtr#~iIs-wrn^EZN-^x*rshTWsRN@!@y
zx};-|I^q$0xM4V}4?nx=`V&7Wqa%+ct_Du4A-<cA7S>-3VB@Rs`R7GsB=Ee!;<|$x
zYG_Je-fqOeH|OxNy_zb>nm6a1VF(qCeO9fn_zxg89jl~VQ9<Ezu9=m#6eN1Ai|Klf
z5!_Dec$QeGf>h*bsLbEVNUv`GZHJ99$XCQA3>;NKp|!3eX>BC*X*h~%G-?c~Yf&rx
zV`TJhq%1N&L>`q*&>MEzn*jd8V@p?@j8e)MCJJceP&)s-)vX*8`0&M|_CB97>brT;
zsOXv$%4}|y)vPlCk%`ad7QG~tAebrhFiQl*>4kd{YfK<An!?WDtB5YTHQ6kM@}Y|v
zj#DL9Oknwbx?o?YJW_hxBTxU813l;Lr;J;fz*n~KRqN73^n7hJ^PCa`S{?7{PhK*H
zu+pA3yJK?5D!JviYR3wG6q>kc(~SYUG4tY0xeT(qk*Dq`HHIImImdlS+!zkjUs7fG
zErk+x_cgsPuEM1KW8@}FjKF2_^k{OD1af{j7k@qJ2ZkS6%j8xx0){tq^zN3T$hY?P
zp09`IF`oC?q|{1)=k}9kG=@TGu$`?FX)Iy)qU5dhr~nhYc~|v(`B5!TR;%XKRqRl4
z7SCcZ24>x%ld-RO(CK$+OHjRzCCcM+Iu{H<GUSJpxh)q8JsiHC`+WoZw3D}2x!3?+
zpDmf(Cb6UVmFmRjE}Pi6;%#~Lwmnc<+*Va4%Yw|Z2O^qa6Qe6M)OT3Yhs{EtRJJ4r
zbVbN1VZ3z%duFtL){&$S&sE#s9t2u++;6l`gkuBCZVYiB_S1u%^S78r9&h4*z9%Iw
zk=8NoFMM||R_MaRM~1d$$t$>Z^;^D6T5DK=tgz(dq7G0jhx{lr3;5uJOx=C3iVb!U
zOfK)$f!b6vuEDxlJh~-*_MOuTc0OA-l)FG1Oz9)s?NcXkZ6l4WbFs_VQJ%9DiB&DA
z*$Ms6L}dhTPQI4p-?W5P56E>LI-ms%SH0+iB>Ql~fqUmq5tcA7>%M(yxF%Q+x+i<@
zZ^3=(m2Pl6T*PLMxn>8DG+`$3-ie_DcX7*^?2T&&7qOCur)ys2X@H-BH}m_8wU~AG
zm$4+(MeG2<ztNRL1HA4EhT>P=Vx=i|b?=oIv2*p#>zw~MG~imFx}Hfdro4+?k;8Ej
zTZp=}(MY2XQPW9mIXVLv;oJgW?cGI;@2~xed4d|043^ZXH4kICnba0_u_a9ZXr6i+
zy&8z46ZVDM-?8jof;k&n!eldaZ$@6CLg3T!eCzlz?8U1@&e^nO%+;MEY>AHwRhCO<
z@61hLf$~)Co{Rr{k@u6v{9Ou29x$_La+$(zRoj@-)%@GD+gOCV#y{U2o*R&En#MW_
zvz7$bbxa?3kaEjXg^B|%haYOqVQ-W!Y1?LQV09u?m#42);98=5+QPqkwGR8!%wV&H
z72ovR+q_1GjUpPg#F{_Y-?%f`w%87qnQYo{PMZv)e&gg_f`75Bt+?sIXEcyoR9i(G
zqYN?^p7CdAE@Gam&%4Rfv>@)oe9flypI7#_t|<_gvE%y|q?V27p<0-6Aw^gTB81v3
z=02}rl?sNBhZ-25@r!Ega0m(Tobv?oqczNky^Hm`7ZX?|WQL{pD#FJX5!&7r8(99l
zzPXbU3;bXf$(zwv1Unz^MXYBF>ksA#oglCQQ*P%IuSx~DZg7cojGqRS1A|RU{(0^%
z*XJF_2?|h3<27C7K?`P)SIX9&al&2$Ijx#9c~JU#;%$Eu9r)bOX>+UKf_N*%2s#aU
z2(vKd_+`!j$GuFl)`WS$14Mlt+KCXTBw|BeV1y>N(%iyIUSOi@wd^`cgrcIccBwba
z@aD4~rf`%Wq~cE%k4qBa_XkjkYhnfGN$rGOvwyt2QYT<NLV&8g-#@hHc7b=VQS-W^
zFmyUo30yS<Xr)UD4zuM1jd-TRP8p)mQ`Ki%l0$$<fxC^yp<FN|_~qAyZE-lp6q5h@
z+P`}1>$1QhZZHh`?vrgV1*bmU5%Q`az&puHrx%X#!l_L|RfSj55SzkK{%4o~%nAV*
z9X~(V8Xxp6+bav7M2nmDYZ1Zs(M|sH2?4OCxyhpROAgu^4)}h4MucMHy5y>1A&_WG
zm13wM!lkeZEYDXSzVZ$8C2fm<-4W-RGsy~2eCEFVAu|Q&z3JCIZ6*!}{`3VO4kf_}
z;(OKnql(b{R@8d3P7)Y4b0mL-DMM7n{SfW9B;chvb(^Rl4Ld_w!gPr$z<PYV^+2RD
zY>F6%G+vN_KCW#Q26GA+G_2N7{o}XeznuO?FUf+cgtK+EITeIUs&B8Iq(G=#9PMT>
z0eE-llMD6Kz_B7!_-GduPUhK1B`*?T;!uICzJNL$;xKlJ@==Fbu6onnNCj}iPL?Ki
zsl$4mQAdcJCa6E$_lILm5jLN*xH}!xfZpBdGTnUI&^H|Pyxw04^20Tfv??@UoA$4N
zlael+WYbJqc%=;AZnPRYJkfv($+$cBz4W2FSzxJY<{ziL=%H;rp#d$e#qoT%4B$&P
zKdI%X3Y_)g*%s?i2c@UXTM~m9s5UYZX-ZY$j+OWOyM1clXK`83Xb0ewJB!66I|YpM
zT`G=Wq{73I`yjGz1U_nkEUV%a2u#x$QyN!=mcnTty^qGAeZ&0C6Z(G~Ej$=qYNQN)
z?yBZz&YQq(#l7Mp(W;O=$tcrrrvPFbk`!GQQ}C|NvtY^pH_t;G%@BP#SRQe@D00vg
zyhMh{{3pn8&wBQ1rK%K|#%)+lMVo^CxN_;yRVC0XTzkECPY5o$y*1x|+7#UHnSBej
zB>~0!V&rlPH+-Oz(Uk#HI8_myu@j{LeKo(nF&|<AvQyt;;BOOnXX6n@e}xDuCF)5*
zoy(YVPrZK01rsP@FHZQ7CI=aOR}Q({>BelcHE)cun}FF~TARb^GO%`#Z7_y7jvJWq
z#-B+whRyi&%7q*$I4C#GUwV8QC(YV?J-=-P>(}0+bRTg@+X?2{7rukvDSZ_s5^4kw
zZ<jnhf`ozQ{#oWwZhB<j-ozp`1#pP>qT&H(0eI8gE6EtZh)z%4Y|K0iFtVt{Bt_%}
z5_6fm<1!P9XtJl---JQj@tL%8O)i)c(+VjWWk#bt_eOc!4B_4I<OO5aT~M_gm0#h^
zf|7FA{)`P60EZ@;`YFo<XL`5l9D`ZV*KfT8kC*pAljLAQa4jv|3O+H+X3K)c#!Z%3
zB=*2}Pqq|;unjEPlP6D?kp+>{KaV@v>BFlUZt|GTB4*<s;W<&pjEa)@bjL30!H_4t
z!?h37Sh{z4^8r(4)NFCOl(9n>w0xiYS{)w2&}6gHt8pe|Vd!SYEu;&#`!A6rs@gE`
z29df4*-YqtLu~8G03G;v?Acr4>N;FjfbBw!D-$Y=;Kp*BwLw5_Cm-2<!fS!|Hm=Tu
z8o9IIi^yt&hxA{o&eTzS*g4WVL752!Ha=avo~i{G|54u~-6{M(e7{4LDHGc5$Ldi3
zR}=0uFWpgf{f+xh#(s5=V?su4JWLixG@+(*{<(VG0zN7u*up=^gdUzPRN?rd0nBuf
z)fDL^{5q_z%X%;)f9cfJF((bEQJtF*yS;+nbksXlOvi!>nx45l{iqIYc4-gpFs|e4
zAGK-kb+Mpm4&B_K1M2YEjSuqNH*triC4bX5tcd=8Q|7K8YCx~ldyM#C8y8+(ldu2I
zhKy~pE3TbZgJ%W)UVd>j2#fYGJg&%&;yl`J@-wPI{906`X(cU+RaG^ZD&RmV!UyLc
z6jGt%-KyH+C>@&1xGBS7xEuLdne@fzQ-Ln&UF~in0}{QacRMtN3%Tv@)O|TjfuO8#
zhTV~jsPgi2sqs{9bbS7ZQF#glL}QH&_J3nSUR`E+#U(swUUZh_x)ueVw@%l|{qx(G
zhT<}OUwIKxOzGU)epR>-u5!0yffa4B5JsL*_>sKDFKY>VRdDuTp1V}K3$=ORdfX)f
zD0Sbl^Je`jU{%+on-|4_SPq9-z19{&ayom+*H5ZIVN{rnddP01>?<_tIxCEL#{22=
z1XX~^FrnYPjSI!azp=M&5k-N|E_KU(B*TdFN!OqmZWO-z9ouZPIO2MCV|9Ni8S<Yv
z2nfjYB0b^%HVh^ukzK~wcbOSvkm>o!-w?@%E@zHB3J{V;$tmxs71znIbn9Do!#F>x
z8el%+YA=IW9Q9i9=Va*Kh)LWRD2Qx|`=!?NWs&Sasfz0s8D4n5OmpEBMlGEm)x1{Z
z&`hqRqT?|Y(Cm1zH}Sm)GJdC3Fzic2TWYH|GwUiK=x7}Ow^R%@K8Yi)56PpE4(9$_
z4XQBjQ#*ncN}v>#E^XPviimh%MdP9y1=L@uDvG&Ep?Z@qRad9~`Q}~PC#UBq5L09y
z`|X4@8evGU*$!1kVxA7!T6d{Xwx=z7-(?x}&V;O1@|TR7C1`W&&Zt3ZhW!c7C$eZe
zFFAkHTNR}>MJw9}sDtMI<Wu4!awxwAE(N+#(Boki+Up4#Kw);Gy~;^MNBf0>O{OU*
z^S_O7mgkyqNrBEFO;;Yp*$<fs9Hycp2J{B)oZ9fx#P&^)y8_~Kk{_>mMn&lc!q4_6
z>Ofq9)8*12MPw}6?#}&<ioA_%&XL&kAi_*sch_+e%E+<&Jlao1j#nqx$M5KaO=pG>
ztC<oyV>nCDx=BUdYo4a^m;r1@Pd;JTQbPUbN0p_BRAe~VudwsU5dJ0^OTNFLjNTMG
zHQGf`P>HjZbG-_{hPR`>z>qTX%{;gJyMiieG<#J^`T^kkS*@RTLm9CTKlMnVAtRpl
zTira#MxZGOpU(a3ZzyYDYe*%b+uNT1U1l|gySZPIUM4G}A|6&o$$oj1+!*dOA7TvQ
zlObulek&oHip4`~^aPY-DbGlJWefr8O6U1xl@Og!l(vq74El6_g!+8a7-G{)olX%*
zNVejOOH-``N<OoB{q<jCs8)Q+X11k(4mS{9zVH=B_xFBduK8gM0~3KxJvH*Eh($T$
zPB<UR?L7!n^~Ugdl|8K2mWa&hdVEA!xsaNsMA^YuV~Ce2GT-$@4n<i%x$JJqf)WN2
zR*0&`AP`;Q)9E3LzN)`+Ou0>q&IS*<T7NWxHzi*WKN^-sLyjf+4<uIcFSd2-CxVSY
zNv>!a{G^b=M5o8L$Q+&}Ua+T($q0_V937=!5Jyfsc30YBzTrWH`(c@R0PndZY4Ws0
z(VjI2y2f9x@q2p&A5fJ5(wcHK-rp8NVh3}4Ukbg%%IWnw#iKBAFm6d!(iA|SbVOI^
zg?lj0Z+owwyKM-CUGdoYWnL7&s+L1MFn~#je2EZfH-MU$*+r!ZZp6GLETp(^2<uAT
zBiORO2h6x7nDrUB5JiHpIg>q%b=8?LiBtA~d3(yk$G6x~Lh9!C@()AUq@Aw+ffM?0
z*ZuLAfizZRr~COxMC2frnW|TGzEThJ(eLLkyZ`-zl~8<ixgRU68H~8}R~L>i7`*fI
zWk6-|^ORo&z1Y2x^x{3B3z-G$atVfXXuI3}Y^6sB_WquNf?t*nG%QJ%M0?VpbK=*&
zur$8Lb}<T$y`R#Cq2M0=>u0v`e4!TwOI44suOA*&Ynf>S8%<*D_MLV7>-pOY_*MZP
z3Nw=@%Cz86$j_)Q%~kxjZa77F>lH4KQ)_fMv_R&0CJyq;xN_EK{%F^CIE90=I4E2b
zUM&h%LeL`4(8XT!rn3hhJE742ZCnH1ws!AL+F8I=rd<0A{XXN&t|6)ZZW>^yzU_YQ
z(;vJ`qqxm^X$T*=8crSWR0mG7O+(i7JihrE+rN!}#}~fDJk{E#4s)?)tj#*}_-%z4
zKKhg~obv9Vu2HKRye&@J{(Aa19^P+$%+F~OpQp@pPFtu!b=`K5W7iyhF3#9FkNgYg
zZ5UFJ>ZC%&efjvaNptwkMJm%Hp;`Qvj%@Hd7b?^?+l9-XpTm8GN*5(L=kaUD$A|-?
z6cA^+y*sRD4yWwxNUgc`2UlUCmof;Uz+2OdTMztx<A<MqD(yA>i!ZHHE=@5|VEBT?
zaF*meu9x|ED3NvvKXx`+yj)WitR+`GWgpJtd>;7N%D^&y%F&DU*S~z`@z|o&x&Oia
zt2ceBdscCkqLPsG+hhpqvkX70w1B%8`CdOgzm89aI^4egO&J~s4A^gp{l&HDXL77`
zw(wBfZ;`YFWndPrA915D;zAx1;}0J1;69#s?MSc^q#db9V+>frL-I!>s4BEb|JG**
zt7Z}~GWW*KwJqa!UI`nz-K9g5v-cg3ijkmzE0TKBeih&Illf_xHUsilygK6@qX?~;
z6fJxDb$n0iy#e%x5qW$J=S}>f03G{VKlP4n;DHa*dDA{JqqXLad@%<Fc&Xf#{djc?
zH@KyjYca-(GN0uAywfHRk+zy8m!xUX;@<CEu>^KB!YFX;rnx*+o159WAE8Ch2v)y2
z3ptT<Ms(-XE+V)J_;ej<r9;I!AroTdTxh!D=7}aBBCHuD`CPDJK)vo<E9NphD0v@#
zv3Z*SwU0gM#@85;a1GgW9p^=gv^DZeWdyhvDZxC`#f%Dy_rA9{$B&f0<Vf^*5#Xqr
zzoB(6E6Q?a&GrcqL<1Iw24x8ZP<pZaW0jd5ZG8$8jk_w0BnHbHIk)7XM%_P3I)oGL
zdEuGS@mUlxUJ;U%o{|H{r!$qjm${Jjz=v8FR|)jAaIMLAMh=`?)auMOxslcnj5v8-
z3Tcw2y-u(ZAmE^x<a`=0l86hAQQeeA0YT%w0p<h<BIV8R+sltW*~HveO_xOlMMfn?
z<phZCczQ8FS`c+RG)t}-6422Ta)VdZh;aXdnE-(xj0`tqcUsuwQOA*QKOW5x0r^;x
zNA`;%H9n5$C-VwOTTV{z&5%3@G!Ek4<>JVV#DCRmmV~xtPc`InD8kJ@Ji{h@QmAP5
zi9pJ~zf^qm<j*tbNI*LJ^GSlgG~&sbJC)C?iulQ~l6{uS@IL?m0RR6Cmv=PPe;CK@
zz4yqz*1fK4Z@$lUHI$H%WYe%yqDa!uEJa3ETVxg$DWm&IMoC2?LS|%@y~oeLpYxp0
zInO!IdA;6mzw?KV2Y;1CdQa{he{@?7J=(Ac9`#lQ=SIB?Mf-5b=PjP^YK}UZS?oJA
zc}@*p+)^(IYmrB(&TpTrCTpPA1+wQtM%016@Qw9ndqtGnGd26mPZKdGoo!Q!*94zS
zm3<3CO2{v)TRUD>3t4>WEBxiG4YML=e6F9uqXHU%Q+fqjh!ub9WTd+;*ySHLi|HXC
zJ<9R?)oCr{x&G?hvFrK}bINPSgG5A8(ahh=$F<PX?}GlCFNVNb->IJKq>2t$bf3z)
zsfA2z#q$>=Ou*faHaqAD2?g6zcu=<{qWxs@&sPKB&A*yw`{>k=#Vd!Q3m-JlN4f(Y
zTl>iHs>4rKMOzKc(JibPd#a;vQhr4(WK$@YHdzQXRzplWDn9LABsBY#@}y0K0;Xsa
z|4T#-wG6&@dY3{#qQ*mvd<_(+Ds#F~nM6V+Uz+BoE-E72QBBGP6EpZ)$hOpeTNSA^
z+v%zAmqP=WDboky%s{RE=`}VhB611VmB~ILiF#{^u1fdJfNT(5f31;#LQ7mo;t4`%
zUosc*R=gR^`W;!wXTl@8u1kYCJzNNP;mb6Qg&ACu?B#kVt%OY4o62G==+MY9RW{Cf
z3M@6K_vy+ipmI^2=SBK|sY1lY@!+cz5aW+wj1s}2EK(!kT~{M!KrHAFpryb|tM6^G
z+_K2>+xOUh@j1-EX`oj3qA3uL1^HU=N~33k@u{H>o7lQo;cV|D8IA?ne@{KM2N}_G
z-#zX_2Nuj5|5RMako#KAus>e}B|Yl#pu5ZnOx-#SgY5v816v9O`hrO7qMQcrU1ms~
zbKd**AV6GliNOdvAFAxTts}q60>@X5OFvA(V2$`b=Dsl(`gd_(ZB!jA_%FXn!DpKQ
zf6BMBtD`K4yU!r=1RonLGvyXJlo|u|V(oY~8w1)ly7+)wm<<Mpzq}o7F@pA*vg=t#
zcBthAtS4p1Siv|q#?x%k5Rz!p2DO7$s9_`h4|H#{!ZS)%_IpJ`_`6zHI^Z@-ZHFS$
z6m3@Uw%DLNK4AdO{BF<4dq$}R+l$go-&sH|gWXrDSRd}>Wv4AYXs2FEp{YA@nFZ3W
z7Z2pG=z({Tw5fkt9_G05>rSjL3-n9P!Bq=AsJmMz&HwT{_UWyl^dVLjI2BO&Q>#!H
z@IN>$bgm3zLi+dFtX7zzXiTHnicJ^JCx>xn_fKE}zj8*l8CalhD9!x*IUN8=&LN3|
zvshieCHI6D3rKpdIXMh!gPVMn7Pv29Or7lEn+Yrsf7!C9&Q=>*k1`aun=E6jg!`{+
z=~$ue=Vr*IRxQXe&x=1jzlsGpCffQxW(5YRYvyMUYC-*#uE6_o8`y~G22%BBgP|Ak
zO*cMkLVE0Yn<~>brb)x#B<IQwH!7Cdo9#70J@WDPRbv|1irDWP9?k&=d0A3%BN`xj
zx)j4-poOu*=Ss2loDeDEu3j0U0k;xEPPkOiK`jGk;5%JzP_U}_FP&2Z=6-BGRam13
z?c`VQX9IX(^k+l*WU)G=tWS>}H)jMB9nHPo$9O?S;qc1zVRaCFugmeckO|iJ9?Ere
z<^$EK!(xNWYOoY_>{qN93*eXOd*{RXA=K*ut>_aq7<ry68I;QkF+Wwk!z%^g;nr)5
z9Va!Y`s|}uLtzJVOU-R_P9Yc!c$va2ss=24TO2QFIpHMph0dmEVR$w2n5VXe1c$wX
z6VnE`U`&*A{iv8Id=-DTp>dQ1UK#xM=0QBLnH@oE`%MgdhI*JK=t<z=(EDH_nimdM
z-u751-2-nwI>*^JsKQUFfF$)&KB$|{kJ2lVgm%J@Oq#o@fD6~M%ber~+Qd1du~X9U
zAdJQ_<%TMpk$K8>5d@*SHIW*4T?Xox6PLbZslvpPt2RfO5HKw34zEyUfz3GK&5!r0
zur+kT@|dm&7}Y#r>|nydSs$h`X<ibXqbM8|{V59lckHB*i#*)h&?r6|Ljux{^O4d_
zad1g0Bz&k>0BIJ1>?s~K_(kh*fA)+7OgDzv@@p!AQL}P>bEq0rX6*dHc}hXJ(2!4U
zu`)P|k2@|bslmC%TNJlf(h%Nx%Qg>3fEp84)|gxBAh58A?l;N6vLU6yJVynhCH%<F
z2Q*+M+1+D%Ko+!}=9x?ARpI7paL<mUCakTu_0ZDb;JFi<r=bH0z8u&Jb`jJ9<%eeK
zfpYTT;bSnrW~K(u+Cm>E5wxM#^YAf)eG0IYcp|>3Sq%mS?1xj_b%6h;IqNkqMTkAg
zZxljQhjIPpgA6ZpA=i;iE)P+Hop-@n?q}3NFX#aMsJK4hpN{0&gen8iXfe(pUL9Ja
z2r{R$3}9yQxO0*#9zx5b95Z+4X)NBkE=n0e1}{iZ6bTU3^DQg}rw-rETMr#9G6vzg
zx5|MZ2{1(dEiam<1_#16lKYi0&>qdx&oohi^5LraU;QL_U6>KCdkEm`wi$l!RTYT(
zl76a<M-@oi4;cQ;0kAChjtAUSfhWEz$E;=uu(Hw_G!RV&Cm9>Z4tEvUde3Yb6Qd0N
z6~{;en`B6^@MVAv0yv&Pd-bOj;EIg2=!l~!FdPsZ$aW>bbrTH*q8<*c(rdJjWt&1O
zdwF$p5*{4B^l9n+Cj(B0on9-~m;#@pLxz8fGVrnUWbxKX0OQ?bB6-LZ!aqE)_%A>S
z`mj~GfVU!Grfl1*U1|z$BNAdmctu!osc0<33BYE|`)#qSrVxk^E~{^shr`GJ%N3*N
zfop;mHMA5{kad`#v-HJ*YNbc#_6HWQzxcVXa)}IrS5T?;rYvk{i4F~9(n0F&bIiSW
z$zT$^=oFYF17hh?LByVQ%<jeAzqN*Bpy~NDxUC=!psf1H;LJSsicj@F^-ciauu@{%
zZ3z&`;#Xn0IgVKx{>V!51K7%yZ6$At!7;r!XWExPG2tPKWho87i}0qylz0))`Gdcw
z;?s=XrN2fUBw%oo_&|HnKnQLrG>rb9PRCBn5nt9GGl4+6%u~Ih0`R-@Z%r~wB{ekQ
za<|PjV`$0RIwCL62N~(zTXF91s2iqEmlEF^L9gGbo5RjL5Q5u0@mc*n)$7m8&VQ?h
zV8=FnCN7E-GPtVaA2YwBHVCd5H0T+^%oXS9>^p4W?Lli=l~hG#v7S<ph%|tTEt}T@
z%q);s-QPS`{g8UO<lxnRAN1kkXY&uI-ZBE)-={gHkMgjAH?FVti0Z=|?|1n7we&EO
z;88|Opkl-Or#vnN>OtA|{wMb~X~E><=r^`~pD?=3*ZccF=t6#_;^O`=8X%?yGY-G(
zz#LDnk@=N$;e<-Oh^f;ycC*;JAYh{hbK)hw{FkT$vl3w|pOrVU1S!+m0Ifmn$rat1
z{fpYb*d^?`-+mo?)k8Ny2php1SZ#hUx@!aFrPtEg&Q*-#Bsb^i$1x09=!SN*YeCiA
zBmTDB6-?#=o9eK_B<53A?$)qR3!WuE@GgF}j2*3wJ>r}?gDHex#g$SuA?dlG1|Rz}
zHvEbvnImBqvsPm1KWC%~Vw%-{1363B<P!&{benl>aK?m_p-uyuTun)(9!r=?Hp@^K
zVG$F3d?wzKtO0AkoZySo5_V{A!{E5^GRElU=VA77*Dt9N$yRYo82(**7n|rR_MPG1
z&QCjacq%DwH}-1@<LqLQ($HSVJ}^`nu#c*NHSM6mjMp-zOXdtc8?=d$j~>0#zRSt7
zkxfQtffdZ!RkH<s-Ny8))?ce~s)5LT`%(07_kCoAOK<l8QC#?GD@zij_E$YKSYE~I
zvxBPyS?FND&Wrq;*Hj^)NJHto(mHlW%tbFMk{;yOWYhIpiI6cfVEHh91LK-=XnDcM
z2-89K4v|7c=#Qh+UJ%^E(%W<<r9UviGkK!;J?~xal>cJV{l1Oy2CLYI=dwTm*S(J4
z^#riH<H=y<MFU@Zm71RAv%y1#>v2?h0^H!A{I{~}aaqwzoO7KVU?Y*ERg!`S#T}i>
zwW3{*%a7B&+4cDF!K+~hnDJoaxUn3zK@WS<IlG6(dEf~Br|skM%D|a(qjoTm5njs;
zpG`Qz2e+r{`rG)FVY@j`ubYV(!tb)C1orYn)*V64mSQFNs^Q&ysEGwQGrJETN)Uui
zjlYWzt(9O;JyvwGoDE2WrPaTW3j;^in9(Am5?sEO-*^232c$I+?l2z}h3$J{ea~AJ
z;dX9^g&iL^NX|3Z`$mX^3K4UWD^P?h#kcVFA9i`fv=wx>O#&{Qo>$n&R0Ns`+R_ai
z9~@oZ*A<ADhTs~$6P~$>0M$i*n;!5(9%(lBLaYo_8mjj)wI~9Syg^_#6ofJH19OvW
zvT*b1!AwPdCCI$4s2aH{1b>SO3XSnN@S42y?EZgBu$nsK{=8?GGk%R~hg21S@=vGi
zw}dj#EE}vh4TwRujn1AgQ;HDMYYe<o%5XMruFsKO0+P6D&v?}-gGI}JH|i`NnjiYJ
zP@JVe_OQHb+I<4h_xHKaYpcK&lal$8KhmHQX*;-+K!k|_trzX@h)@~$wwp^!7JPf<
zR@lyy;N!#b#|Q3^z*X(ajDC_F985|-NGVnW{i{+F#=H0Y=oVwuo<$sJ&PHySB&mbl
zm$kpliW)HFIusP{p#as=jB^<-8nD^aogkg534J%q-ZZo+0-JIW^J6Yehz;`)o7B{X
zy>bzi42HXVkiYgdXK2D;mQ-u_x(>)zofPZK#KXl$hM_D|n&1@D(kl2{53U6Cx)=5n
zAa7AyvzJB-=whz!|2Sy?)ajG>c3L86^}mca_^Jt>H(OVa>=*&B=PKj=H6nc2VoK_^
z(u6phLavki7(AbfdZhM76+9<C#F|HGK#>pgxti+$q8j{7)w(25vb9*B^i+q5(#EDM
zVPxoVu;5toC&3`r;*_yXf{HN0AopQYh}#zAyk|>-pD9|wAKt6LnKjn(iY-&vtL0``
zHK7W;6}GjQjxt>3SU0JQrNDlrU$1-ARKX(3Uohd4JTQfw;^Z8r0PpRq!eXjK$Sycu
zvZq=Gw#Rh6t@zA9Bd~-1;RFHb;yaVv2z#L8y8Pq^5i@vf#S!=~01t&*k3?;b34$BH
z>vq=~1$Z6^8M8Dif$Rutim(+IG{=r78P`x?vAzhqOsfdTR5&ZfeCT0Pcr4D_ivm%G
z^5PGb<smh^YgS%!5!?PyUGi?#6!fH42f7Z*!5Hn+-m;-@ShN5klC<mV=hG+n<<H1K
zABzWHzVrY!wKF=pfz}kB%4R=lGnRr?mTg|C+jCSQ-`tctkz|-)()tnoP8<eNW?CQp
z8uhltA;%x<02o7o{k~uk7!i9PsdQ$W`muY|^36qngBrDS!;XS*?gsakln5<)>AbOi
zZ2<#2DTc_PFh0<63lLB~OoxI}ms7rMnLuStXyJba+<*oIGFLa~5dY1LRb5^a(1^+v
ze$vhcDJmRIn`ZRrvdlYr2~}gbzgW}}5Xc1CX%|iFDD>#mr79L5J0svz>&)-JNC#{7
z9^F#h^k}(3w6`JJ5OmV+l`eeW!UA=scz(X2Lpu{OZ51^J(B%21G~>bwmPQJAylg{<
zdc&8Co^I#^@$0kK=^y7X@rRvvUB_tA9+x~9S&BY9X*neO;rs-4bTBp1`7$jM5=~0E
zk)j8C=339v1P@}*dk7Z=q-asm_K(A7$8_Q2zE9nfy=_=O^8xq2Z8T^_+C##NtP6wo
z#BWrGJWMI1<Mn(74XSdjiKolefwGXm3+C4ws5a90c+vATh@BxSd5c*GeA;^MlUqBf
zL-HoXo4z!ttMytbSFkpas{F3BNDfj@R~M0oFVP@%wtcA^!&*RYi}c4vN2#(ZH9z+j
z(V+1tzoj$>Etp$%bhovbp#GV+DtNp=gJ|lu&y=@m!X#ZxhKSz`b+3wxP@@wqQg*3M
zSGUxJ-!n1$t`^NwbLwlJ`VP~gfP0(<J6|>6*@p?y`0Ml3^PfDE+!N>!so>TQ^HB|$
z(yVzB>b^*2*B+uxwxmZMo?D#cL3OwjbEqU+W0{I-i$5{zFrdet4|$#hsza!iy5l?M
zRq9YBeGd;XqHmUlr}b&op`%1H(|K%-O5OSUNhOd8{eH%Miy=!5+HS>W-u%8nwdRsQ
zGWE;|u`aiWXsUsudt;1A_ZD?CbS!b(m=&o}9{rQbCjmo@C%^W}4)w=v{#?mXHdNx^
z=`B8^3a{^!`J{@|qV$M|IVx2g$n>_-rK={YaL}fKbI_6wJ)$YxFIUZl^s2>7K4uf)
z7QM*}uPl0`Q*ts<;UW*RVCFg*zoP<oekKI6Z!n-2%$daxpYfs@ZlA4lK`M~&U3{fG
zj0r6UA9XoH$B+EmqnCYmbA9iG1a3^21=aD8G#`ZsAalR|goq0S=xSYGKHbfVriC3v
zT-bz=;X&QRNp1opu@0fKx9q6R;=;M^dSNtsGN(@aH68+f70)Pt;Y1NNiRR{yMA5i+
z1Eaz@Jeb=({G-CigI)xjaqTD&M?YW5#(c-{u+6*oySE`P(zu6p1a?axgUY?;ujKHc
zVyXW-HIWb95l=bkB_@qpJj?eMNaNvOv*d686@KJRCnUt|CWHQ*a%o-E#{+DJF+GkF
zM5`Z0$tS91QL5hG{8Pbr5dUzGty)PKaW!~Go2uZ@Hr;Riz3q7T-DuOYGAn`t-QE5*
zyp%__Qs-VDKSlth&wAo}e~O{k$<Y?NR*Fde>Z`NUoGPGR<|4%Mdk@OwR2=`dp@hV)
z+<RKMq5@|*99Ncjq>$7l6WNGLJmQ<dhs21hLW!Z6WZ*MtBpel=ekoK13FsPaL|-8R
zi>7F;+K3FY+`=YxbyZQ_G1>K(>1rV4bD?nnCx=Qd^en8-kkI=nc1ww5b;xzFcc}})
zp@{?qZue$2WM4WS-dC;x^$f!wIp52pZo;tn<5+d15HWkCbzKvBokkSag%nX@500Fp
ztbw=}V^fd$Yr`+6ow~?VN~mA|+O|!x212RtC>-><&^oYB#lKh?m5QG`6u+&3ex9I9
zQ>@klldNFI=%09mN7^^Y5}N25m-nRgbpyyk-JRt#1oXlvBfo5S-g~NDKg`Dn6ebTn
zIrmcq?OQ+6$ahZzEh~lIWj|yBbUi?H&LpDo5+lE-OX_H2hn?4$2Y~lp%TkTFDl(v*
zBgV0+qvPKTa|LGru4YC{A9hzot~%2Lc{L>Tgi_<<R6&Nbq{!JpH&xVXYZLNuMFn9E
zd`9warofwJ=Q=K|ib{W-l#m)yM(5I^leWiAVdD7~9wiWwpxD!C!3+ho@J(@#?;#2d
z=cv4BtW-g-X8j6ybmh?6md`Qy1PZuqo($v4C!kTnV8Ev)DI`?(s!Qep1yVh?Wd6D0
z(KeH-c1VCI3LL)4XOKpLTwC8H>lq~^;#?MOki?IqE=u%QcvE1X>1(5f<BCXav@45v
zivxWX7!iJfqri82H|N(c<PnZ}j1uQaj~;3hdGEBE!XDfUZiXE>v@fSlm4{`8n*8bT
zx#E+iaJnz0#>`w6<q2})RwPHM!fQ3>GZx8^_UCi#<7{aZbyxoP+x9GMPyY=)x65RB
zWg1afH6wwBpQ!m#C5N!FY?@LddNLgL9S}U-Du&nt?4Mk_G=o_WZA#=N0E{{+^a=kE
zMy?%#cdZQ;FvoM=<Idaw1r*y+Mt(sQXj{h7Y`Kix5`AEyuZ}@-JC<k|&4;@EIcBo3
zRctudt>NH76Zn_C+B~DggNkfz_VOHD!~DF?w!il^1}(c=7oIV5AaNH$`}N0b7``hA
zZKfJQ=Bc{(qVg=LK(o^7OxPOc`teNqYP})I$p2_a&1XO#MRA|A=T@-_mC&u|bptpR
z+!pB+O^Zf<i5IgIRx$RYH+3!a4PcImezfn*7WG<O5WdD_1-qfXMEn=24{X>~n$nA_
z)E|opmwjOwtNt8n#q>!J_^-RR4f8EhCp%>AE?`Sofv>L@Q9=(AFJ?N}s?AcfBkYoM
z_Ag@hhGZg`LUh42JV(|mZi0F{CTup%V*&d*_HNSfn+^mrhiYa-j8GeS<}ahPd8|8_
zbtFnl2Wr3N(?7TCqlVe|Gu$1X!)9MvTBY34hO!Kwq3+pl)F`_Ge$tUSEO_w@Nu606
z#42$v7JD11o*lV1enYd^;$K%pxS$0lcYT}Y1&XP@uFbj^(`T`0WRh;Pn@@+?t<F2<
z6k|kLoYuVWEan>-{xZT#6Hd@-eW|%pk7+G1noFLX#j5Jge~%s5<%422-4pU>EaJR=
z4}bJ5_K0jze%MU|3V#}E38r*lpVNDe|7w`U6bmautA^E~yRLJaQMntN=FxV~!p~uM
z*{s})eAHpS{!l_=WFMBX@C~k3%wat3S6w(3)xb!}KhD^85OZs|62;{;kLhjR8u)Zo
z4T5<piI$GTn5(Jp<eJU`mi09LO(&lkY|*`ZE_!?v`}3At<FNW72F!<5wRZa^ol9f(
zEtfIOK1%A7pY0O1sv*QHd|4H)I8U*Y{Qh8=Y`_ii2g_I#j>F941rd7YU%H83pTvgm
zYiHdMTE&WA*SKfTr~s!P6{EbH#yY3wrrm4TFdupxqa;ZM?9UjTzaab%D`iuhd6~9>
zdEQmZ_z+5f_+zEU??29BUwC{)Wgl)~sHIxxUIQMOY|S_clJi*ASx5Qy-#ge@xVcd%
zf`?~UYS|)hEMU`o9VWF}yM1)V^CW$+GSH3IiTQ~vVU@9urM0u@Ktv=#wXH)5W|a&_
z+8UR!)rAZTOKAp}^Y|7{HdKOSMP-|hS*uve;(-T_ZH&-qQ4*0;qzGFTH|HyEuVb0h
zYk>@<%&>l*l&>MB2>BIR?EBtrVh04erk$!-!Qa?AEbOiV^qYBHNR-~e;@yw+wk@;6
zsb_-t4H*Tf58aNv+(!cjld)n3XSm>^W-#BWa(OV@x4+c*03G-)hd-T6<$>3HN60A$
z<iYxh7vWVGJ!Ele$I9~X!G6Cb{g^2n{IeT3bx34{^e%bHy)XFT;S{TIR1OYG_BeNT
z_%K7#Q2zOd2tn|HZ-#6RIOzI#T|hRJ70mCSC-I#VhPwA%Z&qb-aECbXKCFTrtoc%}
zyJv_3PgZzL6b%ku1n@{%DRV*Ium`brS{%sCcY^oM%fY~1z4SbP9w?UfE3>;O2`M?$
zX}=9Q7^3=*WR3EIi1UB34ELo$zM#9gL<$EdrPO}>jpPTH`-+Z260(rowSC{q3kMn(
zLOwE>2*MiyV%?r<IS7j?l`Hv#1MMHeUj=Z&@Wg9tk9LSWT)OW>_H>m85xucCeoaxR
z_~S==@311&PWV>o%PPP@byv<fe{ncluXD(gtPEM+)*j`OiomEix3jNZ0wPbvSkWIQ
zz@}^NgKZ}zaA+?LdZZ=|pKh=&?)Va+Lo>)}d{`MwZpc~Px+w#8)~0OkX(X_3i!eA*
zOMv5&UyT25$pYQT>e`)tHJIU2b(fhV0^bRPRs0nk$Oj+FlbBQoV(Q--S2H!ZUB2bz
z$Eg4bD+|pAV;Zo^9LMX`pbi7Wc9_*;MVR`&+n<^>LAx3k{yIz(zK$9Dywg_(i7Z0*
z*(fde@6gp6ZZB=<74i1})r^PBw25)|8MNWNmCyE{OS+&^RC8s=R0W<-I1%ReYC|&L
zeAY;fKJ;iGZ(qGngg=<D5mi?k`dhCtTMHS%)~hhN%rB}?u3l0)|5Xc~CBz8phMRx`
zN!q}pfdtY#5zL513&I~*3;yQ=@W4$wsYPE6ULIh4C^4)76@{&@7Guc3mKau@=dA`0
z`rB11c6%{CS*u|w+7y%*oOGLf)gbEU#;JZ132IZ9$`zd{;KF0&p=6>4Uw_#Q(clSy
zTRYMk!Dt52RZoRC8%fY^ZDu+%qyRp|Dt+loX28h#X5?a(D*V;Q1YHtj;Y(Y-=<gac
z2weSfxXE!hM@xvbwPfsp;N_MPg%&e78tKy|_J#n~$(EvAc>?g3RUi#tVg{87`C;`V
z%3%5Q&4Sr)Ht@>)mPR~f2B(M5%TN4KgqMX6m0#v;VkdJIo;uN+f$UZVW8@Ec7+j56
zm{{q<BpEeD2d-0KFk5TWvQ7>Z=$__?7miW`4JX?O3>450)ll?%A_GrYyeDottWskp
zN!2MKrtpXBu4cBr6!5Q)J2Bj*MPJN&m3T(U;K4E)5@{_C5?qCL()SoqticS$$(9Tf
zi=|;xcZDHy-nzT%G7Hje&f%nO0#Hh1s0vdMfCfHi!ayJ!YUONhyk`vXZi7S<ImZLO
zAwiu6kJ(Y7TZ)omC<Z)=X{I_m>|i+cJ-KT?2U2DZ>A7^-1lsI<WOE-ff%}c8dE(I=
zNIJv$oqo#hM*;!<JN2~SzRl6NCxiptqn!=?TW$ouGO}Adsq5JP00030{|wh>Ae9Xq
z1#o+2@6EOEHSWFkeEw!Ci4ajJDN&IqC6!V#vMNMMgfb(QQa%5cSJDtlQ6a04EoHrZ
zKi|%W-#O;7bt&?utMFjx-2I_03)pj_Mtq@rikSB}p+WTWW5e_9R4)+=@IIT^aVckr
zklUnO?i9z5_)3vK#MK;}4p{7`4|NdU4(7|A>ik$)J;3IjV+MHl`h1IF0vQ-2wf)RT
zKD60x6&yNj3Ik(jM>ttJ$dIVS$c(FesLi%RgA+`_>Ey>1<;&kmHd=kQ(<wfDx-Ft5
z|B49=D_MjVbc~RFA1+<vNZ`Xme=|p(vztIpfPqw0=_EO_NA4nP6(3q=#b+pm8N)tV
zo#)cxv!tlV?D4X{d^l3NW%te=BgoQtyX7`9PabNly7F-!KaN-Obp?7ELE!slZDrF1
zGOR4>Im@b5=%hgPpK3FN=<bm{RK8{MD}A9QsBIO_*376acpAb{lkT5y16VM<mnhI{
z6hPYbXVOt$3}9fB^Sax0tk_kgClWs(h(21Ht~){uz(G6;n>pDr%m1jGn~X5_gly{i
zw8#WIOOO4H-W-@Wy`MeuqcC>6>i(I&zy#Kj-gNF-PW<n$&fHj~2%endE&Ix3Le==9
za)kspc6oc*<>rf`g?MLv`v(S;C;e=_l)!_lnKCh<rDAxQ_<UG7jsZK{`>GT8`7q;9
z_lw;v;^<e>5~0XsfXg*853b^W{l)gbuM&{NYP%p4>z{ORyH(<R#!CPf)?01z-y?<Z
z?xw19meFDUI7{#r4Ixa+G<tCDhcuR_ralplphM@Q$S2#9gt6>{OJc?uS=_?2YMYE5
z9YnI&>c%ofkaNUfPS0K*Sv3}?XB6l#y!c3dW0fdgI9~d4jjAH9b`)v8#7>7ppA-82
zei6f>icb*+qRJS4SADhZPknGq^5QU4mB53dd&sw{D(JXJAuV%AAFAd9`OJ<>BJ;$(
zY)eN9hI@KHo@1dy=rIF>xhW~k&l8sDidMz#gN?d|igair1O~N_%V6)Ouc@gI)bL_t
zn+|<F9r}j@7L3*8@ctXOsLQ+>c<DizNqrg}t{;7LO1MuRy%KG6&IW2?;ZQYMJwyji
z+mS)JdPOX|-o`urTnncs9cgS{47k{-ZJ)3JX+W00Q5icu?H_H`reaIN{K?dB4B(5j
zdK>7jf+5R8mW*T?{@zx2k^dAE(kB#J#kNwgy54-l;qN-Ay{)V8yR88jv~K-yV6Q5E
z5%c62)z(8V77inBWkZO6NuxZ7Q$vY;AF1OW`e;{i<l8-2BY10{#0<_-$9wx7FZSrr
zk+n8jZ9UT%h~C@~yHX9TNj@MFltss)6yp!ScbI^!?$sdgYE9(4x?5JTmyT<XR#qfc
zn}TeSZq}-sT3EEHr&g4kfsOH?<R)MaA}eRM+oWovo|u8`YIX+lOU}|)4q1TT_r=>u
z-c+Q#*(;LQO2>jSqhHU5Ea9`|`qpSx8t!plyE-?Fj($zqoT={CaBwo|z|=_^4u9QC
zKDe)sP91kD!fOcV6|Sz$`A9>PTAP?^V?CT)bMj(Q3_$+W$&IuH8eWj(d-2Ur2kVvJ
zE8G^a0a30;v%NoQm}enlS4mKDq03OIGRX#pjQdinifO1Iw(!j4rzURqwsLS9w}Jca
z<B|S4G=wza6{!ey<b1)MwcE@VzSJcb<i$}D$iBTFM<{qIPn>BRYzwsyEEno;YNK>U
zXyMjSW&AJw(B3siZ6RxlsuEGAg+p<CdnGyLvHXOzwd5gN*bueO{&bQiR%hCF`<{@(
zTuRkmWnWt`c$BK?<feg{n+?u2`-x$cV75RM%@)koq-t7msiOupB)@N~5c-;r59}VX
z0U4{~9=C6);$X7xezOT4RB`W*+I+<Z)>fp&Mtf1PFi7q1m4oa^+uCt;?`j(ud_ZIt
zu&AKPl>8N?_e<oX4I6`FegHfTKS8|Mu7p?2@;df~&ygMK(Td||0QT>CS})oykJr~d
zjbJaBAX9d-+cl~HxE~R@G;}}~hg<e$uH7|ETD$8qH4hQ6vFh!DoxU_a2wV);`_oHy
zO2ov9m0QE5o%`C)i%8;!FaB=5hFzrUUN#TWUMq<9carau7srK!d3KwT4ss>Kd7YoE
z6%<Mbb_s11MLFU_e#wzGQhF|JOOux+h?#MY@YM+8+w=6XGd^vk&Vi57t(PpoVwJQt
zdxRiv$+j0+Ezv=a4Lp^`9&@O@7HFW_%8x(u<LX|n?j&>fSr*jjn8U5MvRAz^yr}J%
zp|hr-o2*mr_*xok29qVnD3pENSWvO^YtXMAa(xgN{d}7#NNp!RMi+6SG{=$ty8iFv
z*_pR(oApc~fyr9zE5(7k`T`9cm4?Xk(sL4D&Y8f-Lx1|}7i?I5mRfTq?I-EOztFrm
zX$)QUX-?fYSkdRl$KS7LzsNI%LKiRj7(>{)nlH1DSTNY@M|$Vn1bL9fYJJv!M)0Mo
zyQiLo1@o$Vz8e0RA`c~8?Cdl(0(oI$59_XFa&Xh`lf9!e<fUKPSJze<g5#%cFBaLB
z$;A#$qXD+x<fibmZ#y*&VPd@Ky3~Osl0BZA#Z>nX*-&GDGP2kJhD_5gH)t%8*MvJl
z^Y<-~bD5<*qM8OUE#&s`gUk{sv`xJBO!E>M=Y3**Wd#$mDuZSu)+~|uHhM0W!h*GF
zzYA@QnZVc~xcghp66v0hQ0%au6?c41PkjH30W%Zd=htssCQnuil`FQh;oHOEzjk>t
z;Fisw7OM6NDSJx&cH?>uyh88F7aF01aL{1mv@8q$_vLLZvzHSkw|wCG8c&DW>uiC}
z4_Po*YlSm4gBwrS>gbMB=rCfrYs-8zD;`Wt+iJd@7rFN*UwxaT50yc!e)(=}_$Rw+
z)w@mnIFPgU!dRysR4$gEqpfDg?-hqF6b}gCRl{TZE9rW$(_Ff+%ZCFMeWxR-4MJ!h
zk<)rLQy1E^E-UD!a$>5(l|$JwB6ua}qgm974s0+yxU0X93&ZEacD@P|MQ95QV2{>;
zxHG!BJia{0dAa6JOrIDE`L^4vTcW|T+O^v~^Sn4ax&94Xqy+8@ek^e!od#Ba*FGJ8
z%#UJT%Qa6mq)<QbD^19N2Jf;JQpc+Wus=$XkXe#OA)d%vHwLM2&0kRF<r^U!3bJU~
z@JALMybA2sR8oOo%}T;SNCboBH9p2GD4_8VB}@B6Dnv#HMAF<ukt5V(O=_qT`cTxg
zU1F&)WGk;(UL}SSzdY9Oo>ImqJGs;oQmF7<VV2WbTLRZ!sXff^K*5+<`pl^ZRM>r>
zN&4_pNqnl}pi@w(ior|o?s@RjprbX&KO{yPGh^w3r)cW<nIq04;S>#)dId9hJY~`D
zl%VR`M;iDywTMSmO9x7|Lq5ISAdkhL9(JY%XrZbONB^Z|9SC&lBF}^>;^X9>535C}
z_<7a&h4NK;@b?SHwjy_Bd}Pike(n_wYc`C8nRx5N>f-OaPo7Z0fMDhg`vhJ5GnqYg
z=l~s7g0153KA>Ppclgq@g+89P^O0ZlV}OBJo#Lw%RW$l__?5#yUk<(tTvHj&gr+Oy
zetypCXyeZ@&_idSSE&+f^-Tk461Hn#yR3l?*B4{ux)|8^w^-&IuMxbux?7R@LlbKc
zx9$!LVxmD3$7FDtF<jsKUP?t*8`Y!+d3zd}c&vjb+1J<<G8wnSR062T!E%XAnqy*I
zk3qBhycq-;848^`OhdEW*@2)@Cf4g&+;VNPfaCAA^n}B8aMFCXLZy(2-}l<7y)3bU
zYcEgd$C~S6@#K$VBH~QUzwG!#@(2NPJzdkR?{x9I`VWymHVoWolCpRu4?wtui?*Vr
zhg@0d5t;gQEOrs>kKbhjxnIl^$_YKZDRfJB{Yzb(W4qH`DPs$H75C2+3hSZiY;J@7
zCn_eMDWDS-wvf+~z_B_{7ad)Ge)cNYME|Y_OG<KfpuB2T)IhHeo`uU!wSH>I=lkn{
z>kd2EeEO+N+7B9*j&h8~h^k=h`r}PY33fntwSQB0pNgF!x(6K^<&Y;lr`!3g9SqE#
zmpbRGjTVO;TaLVwKoz=S@^r8rw9%i$1b))QvgdhWsXK+ydORSzO3x0m!$+n1tTeE$
z<Yp3w6*oFLy;-{b)fRFym}&dYtKsJq`<i<^%VZ>LWRTG@Te!<2x~lX$1$(a53GTF?
zASJd;#j}Xo!r7)aT`m(9{Kc?6ZK&5yTBSd?vi;}g>gb6_zS>IYsv6rL)AWX5i*Aw*
z(XfFY)s(6m9P;=@e(C;Qp8>*MIv`QA5}>W;&~i493^MPhNJ&SH6VbK3@1qR?J`7tQ
zw6u^!3HG07ve!%#SFUkAONb%B{OQivzydL(m&jG`y*f*zy}30saNZgy1$S<Znu%Z#
zuVil3-#Ox=)th3K+y8oha;nTxSP%<3&lMzO{w9v7##5euvV`O!^Cb;&J}m9tQWKc<
zo8bKX*Kvm15`?nP`c}nop}`^6SDJdi3B8Pd)f_7en7JD$aodI+L+XaapC6ec496Mj
z`;M4{%K;xxrGI~9T4^6;GHaH&+r?_D^w<n!I|ZIzE?6K>RO*&2WzP^*=a){d<1vFH
zT>hR_lE29*tMbRWsndkg)Fa(YZ&N5qO}UXGK24U!$(UVEm?AWLE<ebsG69AB|DI{e
zjFazla#TuFCW)Mq;nVDVCZJ=oL*3!~F!=@9ZCb8R5V-&Od{T%pyw|s1NZR+ETybg+
zmoFP9mVH|94!t#kfY9P|>sNmvr@|jQ+_3pY*!uVxcbgf($4=kmiBIih>%Aj|7sSVi
zi8Ix_%o~PK6-b{9``k?KTr6bUsXj`O<yJiRWes7KsFaEEfd-QO*^t=As1ZUX{cx0H
zh5@j!6)|2NNhcj2XtY&uj1Y`9+l}k^4M1RTv=9St5!!;>LN;wbiT69k6?+nyusG2#
zQr`T8=<dIGExYF@;a)N7Q_jx>qr)+u7Xq4z0nGEI>x>Y0Zs$$?NoPQ?YHjj9%~qmu
zAjQ7=&IrLJe0g`R3<FAPEUL%9v=j1XMzJihqr`#L&!Qd`)8TN`TNn%KB>V@bpGBS=
zBii<Qzv48aLq^HkbNAnN5n6wmTss?o5n2wF^W&-dz$_iVyq@}vNF0<PpQ=v~5|7Wc
zay-z3JF87RpV{;hEh`@^&3PvYj^?eg)Dc}^U7KxBpXnoFt5=^?6PhAo4#|r;P;`N-
zB>q@dZ9kzWEs(BnHccGA6q{@5uLGx|9!vC}93<9VxKtUMI74`UcMDs(MuUqF`wRy{
zhKU=h=gZvK=7{-n+nVT~RM6I!_~sk_lYkO~gD*>d6M1^|gV#-|Fwb;uki0ZXbbNVj
z&N%Xi*nNlh*|8LDm?g~>xkr8x22UN8f=(<D4hk<6_y)D0a$~9;?d}Beuv6gqe~*@k
z&%$>p?haZY@6y=wNMwo_t>=DPEXM+3ZzEoWm1)B3TT7#*$<stHTaKCaVOA)ME;=12
zp$Yy*X{R$ZX9=B`-%q^w%LXnrJQwbr(SW_#3O&I;<_NlZds2B32k`HV4|Q8s2Ofjo
z?mZpzgnrKL;zx(Lz_nXp_S#W(II_Z3YBKSc=nBl5rN!{TH4UAOVr=S=lm2$&OY0@V
zGv?2M)LK5^(mS+=mZk=gcYM4u8&`;GJ@utwiU15~%k9rlQ-g^&Y8{UqS%G6D|3zi1
z5Qs<%2Z%pY1(&o>B1<i7;N-o#%x}90SS|eiS{tego41F$#~tQ??V@748LVQ^c>ZkM
zbtP4p+htA_b>#xvjrZe=o5aEHl5fL~9tvFMIM9n8Jm4m}nce)MB!sAMt{|%^pkmrE
zI-JZ0CG{VO#Bb8DE;?nrCyfG^9v?B&`MU}>KQ68}G?s(cD+|YWoT7l?sXDFD>p~#W
zR#NfbGX)UN-%z;w90df2UDkE276EwE*w*Nv4AyGp@uf8s@L=0Nak)nnc12b_)@f1!
z?k{@=PR>vu)>@7#a8(=*_v~CFAEF8=v`5EPeO00H)?)DW(~{s6(KEoMqYjB0`PvC1
zs=zwFcCsK#8vNoE3KIl00a6-+(<;;;B#|-E)g}wm&QS&;0^0D_)3Sl1L>(S=l{#lw
zD?nj=^OHnP8bo@V_MYw0fM0_T|4MySf)opfx^^#JaJLON2n*5z7Q=xwdlwbB>=xg=
zK1&~5BLo}5tf{b`W&A&CBL!3!T{{#<>2TZk(|64%9k{cq;?97p8l3#TI<1_W35BMw
zjC@7)!E{{eO4Cnu_?sM#W#R_F>Gvo;Qjh_fR(fgashXf|75H$R+Yr{7$G$OZVS==e
z!v(65HgqtRLie^CLTTEAn%*adpnEy@TWSXtGU{w2YC?_RSObe#{D?6KyrP`L9Xg<O
zdgjxM$41a&=y6xh#tbYB<TThn=mKT;$I&>_2weZprBC0nfVr5#IS)B~Q1SV=*<!m9
z@B~&~NHMjB?n=)|Sur{|zIf_hdesoV#Xr%>-3*{Oym-tfk`BePEiO3+4dA4ro$I|b
zHgHCvymC`H9Rhpr^XQE+AS(Z!lUTMbta;gL7=N1%?Pt%Gh>Fl5NvAV`e%ua(8``ac
zljz`W465Q|G{`(Ie)o@&J)Gb>y?I=p4rTW&rk?H5{O8S%<@P)Fkp5SLx#Fx3kIy=-
z*nFTsYt!}j^d)=9E|VLN8_<P4eEWb}FAwGO8DV<`9iW+L+_c_U2lV~P;Po5DA^5|S
z7mRUx=o%H2D{!I0)slu^4N<)CO2H_=uhbq=+jzMjSZjgpTs|8H%@ZCfl+QhcJ?uKX
zwBf3x1{B!$)4i^eMEPTO#`Pz5pvC^<q3nPvM7^{!;|QD}-~D(#@!Zf3n8GJM2;EbG
z+vXluCuf#P-iFRz$pTy0x%0TAxt<bCkhv!sML2PT>+*qF9$TnXjSl3LlY^g$UpgEN
zdGU4mk$mR^Hc%lNsB#FTU~*$Z*?{sYyf~))@p&%*uekDt@DefjG-78lDkg{q4QC@(
zJOMsyJ;`!+69)TZR~MA*h44--VOxHUfI%+fDworIz<(*icUP|vGE$>!REw<vvrCve
zra3@X|2UTkpD@-+x9bpht-#zq<COBd6+#6SWyY6<P%yLqZ$P^xEbAF6O4iR2xdFCe
zJ`aV^+u?{p^|A$oW;z$-%Zw3f6<e4^+lBDsL5i@cp#^Yp_?O=L(M{;>I)6lxT?i#U
zy$|7!G>4wKCR%V@F|qOD`%cYrL0o0w(d6{V3|`-!tm%K<PX3KnQ>F$9qD8v#YfT}u
zf9}U{%}n-_18(X~6Q+WgxTWO$La-?~rCCZ_@Bc-HeM>CZtRsjlPGNL|W)nCe<nbx*
z^fc+8D7+c%1o8c5(PVF?30(Gw7vqljP5#L(*7G|lh#Q=Xwh3M{2HBsW-YB?0ntiZ!
z%K0gXm)=xy3rZS;;Ri3rv!TmmK?-3?923G2pqZ;@7(w#P`jDNkSn$O;tFZtjVH9(8
zwlWko0$<makMk~USaM1Aaaooywsxup=v*=ck7E)sMUCt@??XG7q%ML_BbO%yH4H)K
z#tRlPQ%=+h3G7R55kbRGb>*Y=29V*ew;X?i3xm?19<@mk#ifipi34s1;JoeCrgnKA
z{Gd8lza~fw*VH!%Yfm!4Yh{Ib`Vuc@9{0#~^A^V~#$B^>Sxit^qKUkt@MGPfzI)<3
zB~Y^Nvr2&-6IPjvB$q#2g(uj~-SJ72L>C7k?z6ucaP;H3{p}%wI5x3WeyUvxe=D9M
zG;TAXsbcNqZfRj$;fnCPVIqT^Jh?l04lzJRu=yw}uLvs6OWw1tm&NEq$_njv43Mt<
z+WCS<6fe@x9rg8+$AAH*@)}tNIQyKnHINZQs)qQsLlTPk8s#_IEzm)it6HVZLLAd;
z2L&6al+bU_#e|1Lba>vd{9^Zh3EaUQ@g(K9GD`7tcfIbR!yDtN!m|yMm{`pF@*4*Q
zCrURnZ~e>fEoHC!AuEkKET7L;D6675?^I&L5*>Qx_tom9%iyGVS3<`cHFWa0d3c8!
z1FnDae_J9ahZByT>+6oGW6?J@CzGuV2no!4X!b}Rp*$;d@u3E0IIoazZ!&;q?ag_Y
zNJX4>BR1r-YGLdz-Tsz;`>lzQ($cA<jOWt?HWWH(qwC8DsboA8!dpXg>jhPCc5%&p
z>2p+c_b*TslQe)O+3vIeP701ZJGcFB6Ae8&1yaY+0Ma)<nHXVJ#qEv%^{LJ3;2gVi
zllU1!@X?U`G|Z}o$N4mlZ0FTO!=vUs)j>uO{CcI^nN1zddsPl6FX~}?PtiEd-x%B~
ztOLSU)KRkZ#QnzS`dFuHH^jQ%1X5ggZd^61fwl?)l;1QuQmTVoQ*um!lG!W1@vA0Q
z|Ip(W*hEJQo1&_LRx>c^np|GIqlJax>i=nMp<~N()%H(P77%>mfyBv!+BiAs|L2N1
z9m}J(Nsb3v!sgL#!8Ni}%=R2vQ2eTolRQ;+*;Q7+5iL+KokztjLGjzRPU@jBQ++OG
z+#1H-<E_d$DvJLWzoK2Ei`uRlO@9Od>a>Gy9@n6upN=W-Jyjhn-MoH(W6r<Xu=?nZ
zTrC=I3HW(m)}4wcxpdn%ir7F`gClu<fr>W|Hh4U9*23x>R`sJ%Ht>$#_9po%75n)u
zOfM*F;E(z8bgpMMFtEkh(@2tv`uZ<j$Zx86(>LTCId20$$|c{C+qH53*yxS;JQY+m
zpWJs^(iZj|_0B0y)WXG$!Rt7i6!F3KvAu>0w(wB5(O^fqCcb~jLy1n6MKMjQ+E_tb
z=pt+VG-EYz#r0m`=K@J=J-5tqYt#nx?mp29-=vQB_mgrFLSi^_ajg5u0~`3vd-E|;
z)G#30#HF}N2zf?M7}p)K0dL_0neM|B6e;V~dAgbpD{|sU4f?;onG!G7SD}Kgfpa{8
zd7St#N5W&z7l7GCfon&jlyTSFD;ksrR;-kn+0hXXu<aph++d0#-k6=+;mceijo9z_
zZqWje|8vwj*HIpe&bxTTIn9$dA~{bxoG0LMmyB$Vf-L50mX{V~&XAm3z&g@q4c>2D
z%O)kHad~$ibo`hkJwMTv%f+ohWRKW#2vZWT^j}Y2r!_$yq*{-2dRakJR`AQ>NO6pr
ztgDRn{6&t{s5S^+wuD>dGKw3%h+>CyV)LHDF)}oEgJw#<1z5}cx#GM>1i|cJ3T0)C
zd}7bi|C??B>~bw4L(0OqY1i>(MT>DVG^1%(QJgs}WnN|Ln-)Ocq`BbctO;_B#j*5;
z4`wj4L+VuP2tP_Kx7|JRd6K+kwBYASHv`5W32T}LAM!=_I_UULlg|gjXa`eGVH2l8
zDO}~jz>W(uy98&+ZQJ}&X3_+D8b2zzxO3y>>j$NLN9Rb12*GA!ZxhHn48nQVT<Dzs
z?MmGEJefBYxcuaqF$|A1EN5=z#JF956*q}5knFG7-ESEfL(RaiqRt8q^u6;sk$3YF
zsoN!ecD~dI9Ml}9+_gDyf%{XK-J=z<vJHs~%0@7Ca%#rn9Xp0y6+Sep%!;22x4k}*
zZwMW=EFKD1+3_;<=Tb~08(t(DzL1KB5S3EK_<EilJ2tmlmwaYN)wK1(-q#Ia@IcA}
zS;3B-O&6(aJvp%?<-i3`Jp<@*SE%tHX2-&)El)2Fa$!QDRA=);CS=j2c<(rHps20Q
zJ&p_>WN5tE*t&rURbECfg`aa^63B>qd+{O4QVu2!F(8TlCsj6(6MOZ;g3~Nl;lZei
zX61MWs6K8nd_&>F^4pgEegFJbUhIdL>I_J8J3SiB&W+361O0xc!pNNu51+TtVfb}|
z<Xui4beeQ^+!82)4u!*Cw;lesJK1Dkg;II(S-QkT({)iymFkmQq0vFaQtMA+1Rqvs
z{P>l*EQa2TG;P^teMq?H{L{FHAL%nURcj(7aCgdVB4w>UG}Dp?cSQ;yKc~6B9J>_$
zCmz1!_DK&sA3Nt-GK7%hQ~WEkMjDS@>f0)FSP!<ui+<mpB8;mfUUo#Dkj3Gpm_`kn
z9$1dmzRSxJK}QAc%E54XbPK#XzGqSwXnr8KuU-_7t2}i)9<PY(k1w95zR`t*O+{lY
z(_(npZuJ*cKV@Win+8ul(}h2Q`vM|XOJKc9a(6(A3f}y=kFBEPUmo_Ey}T=l``nd(
zb+u4%Q21W;H7-5q3Y}l+vysNIU$?)qDyd<P?$Nn}K6)VbVE4nVKV&c^m6CQnP929h
zzO86==)sM)+jz864)3_QNVQFAU~9{vTdXnqP!MZ0$DOKx!9KU8E5o$#__Ll*phbsM
zvNL<tla%nr!sd6(8EuRizF4eSNr!yl?pu=Ylri8&^h@y=8op#>Gxcy`K(oWl(}#m9
z7%@EkHepEz6ArvNIwZh^T%NQS(%h<88gZ~k^}s);mXj$lV@!ZZL)H{MHS{bcRX?`s
z<Np8v0RR6Cmv=nYT^Ppgz4zW8n`hYTcYBN|q9Li|m1I?9MWvLLQ6w2D6e?wvREXb+
zluZMn>_YaI(Ce@B&-t8lopY{pfA32x{NHE(Sqk*k9560%Rzv~;rret`L=-wCK>LMT
z2d-MbtT2uupzp_rYRouE=-}*Z`_p~8@W!xHkH1g}!J(LkjX@+N77>)r`&<u{S3{V!
z>y%N-lI2{~D-zmw{Fe}}VgT(;g+Zf@Do8l3Ww@<{gi;*y93v_WfxG+MLSKa{Le1=N
zmr6)z^|e2hWNQpVmr^6{TvbDulPzWJC<$@hctiht)C9I(SZtIlsG}=J{6bBgM8xCK
zZsmOr1Krq5hXOOy(aoe5n^-O)iunn@U4j6Z1P|R)?NLYN9>S-X$eO7BPi-Zev>B9>
zP93lNu8zJfPU@)6s-a<i2ZCF<8TfvZWEOg?j!ueI_E?`(L2qa~44E~k&^f%4MATJB
zadQd-BTosaYc9#<-*qausXO6E64lVXvsX-Q`{dE`oQl{$0~PlC_L^ENRz>-%iyQ@P
zvdAN}Zr7(#Dtr<Po7H)sf{bPS=oj)N5SvFpMc5b>$`W3rWt~w*w)-AN#YGFFj874C
z51OekIx{>LC9Z_#F_v&bHy=84fmqp>xwG%70Hgcmis;L=b=SuZoT$BVgje<u6%y*2
zE_j$KpxehoVwu>PkVO*R!He`%Fz!}b?5LMRO^+q(R^I-@&)d|pzAi8Wwd-WdwcWC)
zgU^g-{n`qC_muR69+&|~i8=d7xis>&Rh>_d{*5d4iZ}o00w{TQcQRl~0=X3x>{it5
z$49ou<hQ&4JS){&JuSpg;?LzH4JT`H@8^1pO{*A;<-1M>y%$DbS!1lOI#yvCF~poc
z2@Ebq#UVdGL9|KfuMgAj#8`UtpYU6m!YsvtaB~+wy5{#JEKj@}`(;PJQWa<dXOll(
zFSO%D@&}JU*<AUCMHyr3nU9R&$bN}yboAVaQ74dl%Ci?^EOO(J8Z?5K1Ty17Jv(}J
zwv)AbqX*M<j4%k4G=gg<s#>%9SkOiU<`yU0g{6r!9nEwzgqyhwrs-5BH1dT`Z^iHv
z)|->65%kOeKA*EZFtkdK3>Duw1rwUE*t*b-?hSo7^rQTW^dc?tNq;Zdky(RnJh=2Z
z(Ow_+<qi7`XwsmQUcO6)8rhhQgbnNQLOtMJxYX!wzlHOd?&4W5EWxMC#mo6w^ne2n
zTq-Zwzy+@JiAL<N$AzwZd>-bj3)yG{D?7K2XMPKHsNn6ur@r*Ocm1LR>ozIr^hvAu
z@+N(ipHCOgrn<b8iRr-S3_3U7?Pc6}HZ0|fO+T(d(YsAkrVZ-X*Qe-TFX00`Mcp~K
zhw$I4VO;(S+Q92N!T;&SB0j)+an>Mm6wk0UyW4n=0tQJ8LWWZdc((1iIhymo@bDPV
zff*4Bcn3d8`*>slXEBc<xCTz*&d>QDf5;%iz>!eq`ptR#$mdDc!tiNax6vcdSb_|R
zPHd+%+vf3*G558ltU0{DdrZeTj|BK$s%UlNJZ>3tC*+dP0-kSCcKD?R2|f(&i9^%#
zcmSRFYZ{Ry+;s2pw6tm>T)ABEo2<8h$M3hle70{HkGx1P(ql`64n52CyN?!d1uXmL
zY{e?h-qL!jw@wT8rPk<k7%t*dZwubel&s@r_UC2u7B%5k>C;8og+=^o5XD!rc>^D)
zDA~iPq6rfxz80;tEa7K!9!*^0*un#nHx_A6X}~mBZjwaHGCqz^c)DKvhvz>pxt3R`
z4jbQRtMcYn@Kvg1nIRV~ddID0vAv`Q!+p<mxs29u(V#wusS9*Sezk*!Y^et2#hwBO
zOV{yrk)cE;W(M?EQE<!mzA9AAzJ5NkcLNXKtG2=YiV;Z_bswADRDnm7F}iGtP24m1
zvwcSbGYTmlpxba)fvw9U^&{fjID>y#nqwj>8o4n_%kV`REGT1T7RofJ>fK^7?OS%V
z|Ged!*xkyIb`q5axzeKP_qU28rMXaEa(uZ$ixOOjr3B1Y(4p)x70Wpn9z<)laWThH
z2?S3ZVK|}5fbjeBX_OXTbYc6d@5FBc?0TsCq`rj_X$iuT>k)o*m~iW*d?EpE4`lAK
zy~T_I{Qm}datR`>&n<6X81BsPepVTJjTOCFq+K}lTL{VMH2pSRSA?~v31duo>?nTt
zGs${E1o<yo{B8K42vPzu0rRVzh~jiX+@2tgOb*ixJbt1G40)NgL^B@rAJ#j3JW&!^
zynDD_k*f%Y+PL_;@_CV!b!!wKzYH?@*?r#pg(BPwnl4CH=0`(Dqcu|(WD)&zE2HkP
zA~?T}lS^+GKvG+VmSNj+Xew;7L6A%UQtN!;c!m%<Ke?-B;l2WLJoL6*>?r|$&hA$@
z94CUlDJ%1}A0{Bbl*UjUdnNG2j6Gc*h#{juAJ-TSWrRwt%Q=;mVd57SJuobRs?`~k
z%tTcYJ$In;vXKhlF{wp=c1xos`-g$S!s_U=(~^5_iYg3;UcB*RMh5kreAInSRuipT
z=VnD~t3&WDC*M(PIh09#@=H#bi1K*EQ%raKS*5ah=;BLx)N0l)+$Tap--o!vd5npm
zzbnu^R6`Nb|Ccgu!$n4a+}%(5-X_75S!oZ~QUZ!{O?D;El2Q7_@kja+6xb^yX=tFW
zjGA*#7IhR;&~=G;I-zcD5IwHl9`sTLrHY)&)Hc&be;Wyh*lKm*F?}93Mo>eUBftL5
zWoe^=%iqmM+VsKlNksK<ggOed^UYy+p^Z*=J~e;!*AQ6fuU>onN&~@34}Y~VZM1TK
zUbf!A1T^;@9vrULM63grKGfe7v{5-_QyYSTd!CDMSd<n@M_F3W=_sg{Xzl6N0g$77
zBBPFuh`4M2d0c29A%zy)>~y;sq?wmXD~l76phe$$vC+=RQ*h^e2^De<yAI{D5Yd^p
z+!^c>>S+0^SI@sw=1@h?RTrPCg(`m6=UURMp!K)&BC8ALaOr2omveQRDEq>Q3vpQi
zjqRVwcCod9h2JSrnh!J(<Jv8%`7ar?+4`(HB*X$5IHbp%4b_pC8n0*{tr#MkwDko9
zTEL);YzyaIRm4=hycE>Php2Yis?F9Gpc2p(*4w6x4!7LC+nB|I#;&um9p5sCE)ABf
zm!kyq>{*3c-t!H7-1zL#^bB)|bBr42n^Zt7Z^{p8v<%?tU#){5$(n=j)DJz)-*PDR
zcP2y0=|OBU>=OS*HWjQjJuH(JWYERn+h5}JmNDw~<iLU;6*Tx>*yVFeA>))WF0JY<
zj4|iS#QS(NFb^kw(f1TXWwRgqOFifSb?wu=Nn-~2vW9YgOG3zel`inxI0IbXui@(-
z2B7%R>QQtRKbrh0t#jiJ6U4>%zl@#1z>mq{*)Yz7Zv1eI9?oKh_MzN@ghf-JQP3%n
zXXQZro+>iIax8EwM@%D@&J=6~hMLp4nUU%iOPul^7T6sq5r0Y21pfYQ60W^ThwM|Y
z5$(t<@K9;D5SO_z7@PcVIZCsI|M{6CEIG#v-rBZGPXdg<Q}bnr(VG=q@W8;*!Bl3L
zHmkpz{mc*^_i~U6J!kQa(!bH)h|D`YwoZl_11MaATMTt0xR9^Fsr{WyP~G*eYE0Jv
z_L*+5q*ip|qtffTA1^Y2N9U%?e5^jusO>HIZJmu#sKKcshD;z$ul%TQP!C=Whw;WG
zf5z@fCDeuRFhPQR#{&&hJ*ZpEc=n)i2y>R;EO|%A1a<rLJE9-z!i`X+50fe5nC6${
zyM6pj@I1KiS2Bk#sPR3Zx%++wn;LS|ny_So#T2!J9G7-D9;G;!@OA+k_jY@9^DYyx
z`nEo;pVx*;FQJhiCzr9vE3R#l{LIi&on)HiqYWMTGKwp|R<RHEFWp|1F~jwx-0l67
z6u6dqe>uzU50+k_Anz5#0<X(5?roi>fX~&RwM`HIVz);3G}^ebg7?Kq#_KC&XekId
zT{X9bU7PmqObB2D?^rA1$~7`<rhnWMDMbS>D`x-2l(NHP?j^nbf@ElxTby>Wp@oS4
z4CRl)oWNup*Z!)A1deMZRKrVjaC#%^1z#~2l#lHFV`)PIwrWY4*H!e88%@l3t<M9p
z{wmU1Q$%37eI?GGg%MWeZ``~^;RUU5XV20UBHTD~)9j=d6WEP^bv|Ov2M?Y3eEES0
zuL)1oEC!gtKhD21Ae0~MvbI74#<k#MgtHyx3@cQ5(cExs5P<#c{0WN3w1CxhmFO?R
z4r=B~Uz3SK!17>X+hI@>ZccEz=#6r~_~hB|HPymU^=6gMAV3qaSpTc<JGo#tE#vnf
zFHsnK@CrXFqzPV)oadASc%bAhS=2;d92OUHGDF)mAXw;#PHZwSL|gvg4ON$fy6@uk
z>6sd!v*hf|-M|Ow{<V*+tfXOKXm=BDxCRt|XOE}y3V?Icy?9E!45TLB$Vj`O0d2Pp
zJ>x<IA+FxZD0)>EEOn&yDR(r0J?01_VO0oTUePw|G?s^>?f=vqJ2fCo;y)v~TOv?|
z%E9)I0?fbFVQJRVgn;Yx{07!yz*re^CSh9<jQ4-Eu6(TtDaw?ZDsc(mOBclLLzKYL
zqU-OS(^`<zL`m^smx8XURG*`Nl;N;y$AfDsM0kIjHcX9O28M6eT{n$X1%Y1ya{aG~
zpy>9Z#8FZfno#8)MJ{#tZWFL@+nog41izJ9Lpey&niDEY(SV~aHRp>o$uKr*q+#bK
z4>XsB#ojS%ft7BqS(z9GOf7||N;egN7^#8pB@uyB)`@stSsT1NbU$U+C_-=_Md4fv
z5zZHch4ee=KsDjQyv!5<1oU-i0{4(WTX$EJ_hVgPFXDYf=2Zq?=d;1mPf76IV<Dbj
zKp&o9RLRRKDxg(manX8+1oPv92WK-3Kvg_6U`1UOmhrHbz2hW!`}e^?ZY?9&J1<kt
zC7=dlRg2X6N)njL`|e6<Gls>N%kpA9YS3%Is>yed1hhG-HND=ZJATXKC_AeT18449
z%2p6z$VSYBXB~q^PTMriuj)|sVQ=>J8ZB^V#p9ML07L_2a*gOTAZ@5mw(pq+^yohp
zeRs?Z;%v>?j8@d)QYTXy(@tMV%-C)-m@<QRIbC9f&(y);cEdh&Ul}6lw@e*esK9v7
zmVXaH9hS@j$5z@Dp^M|aNpKkzg6~C_Xn3hX`hdem^Q;`q2!D)2JGt_uxcP#Ah$=|k
z_<855$d2EJ`qd}asL<5Tku%|>0_8j&t=8|vpm%lTE883u66+84WD6+6UDhA%uFnPG
z88tb_xs?iA7L;o?6$D_V*}ME)j2GH-yyRZoroyFN<e56EA~<~%vaS|og9F_frwnYU
zFdV`-n$jQ-Pm^oX7bNK6GrP$g!-5%X(k1jJTgt)mhzrYB*akLa=X9m_rWurI&GbBM
zl7SQC4d;X3<}s!`Xr?9X+{1|90<lyISR`&orS2cWp5*sR7*zsXe{DKtJRuJ4HsoI~
z-Zo)!rDf;KcLUVf{Z&n{6a|KfzEMq&ay;;0*=40S7^vQ7?b2)&0`2L}xEQZbxYNYH
zaoHcHkj^6H?RiB2UNvL7!q0l~v@yEpG)$(D5bmrt_8%XN@U<v=`3&G^A2OKsP)vZ=
zur;0a91mRa!~&YthwzBn#7rwsV|ds1^McoLPH5YH=&{B+gp2*j@4A<31TIGw<fkcY
zKv!dY#z=AiKf<>A{Oq71s4>>>$~?{tA&du8IY;|&^FOJos)~j{bf^@`>D}Qj&)9QR
z+l_zlH#)22Zvfh%oJUG>=pftbnLAqhgfI6s@;yiTz!TWvuK$b%^i!<c>Jpl8@wnJC
zi9-4?v`$Z<&TL`JFE0CK?ybSsCzjYQpVNb5*(#IG>l;|AA4^#-<2~FZ`tA+ePr5+M
zeDl8l*>%hzdgQ{%`4Vi*H^rh(M;Gv?%G{b3s~EBnUA?+khv9cve->x!KwSj$c8UKo
z);Z07%Y&~S>;2aKYJ^<}m?n7r+@=;WH>s!MJ@H?$>D;Sl^ux7bx?w2(a?t|zS$1wx
z@n0|YdOo=;evtw;cDJ}Wi|4Vs*FJu;^clp|=8F6)eJL<`#`AAY+Z+}q-}~C%dj#tl
zI?wxff()M&IFWGSEC$J1x}7pVvEskjRReD_bdbmIej1s<>}?;Y{x>v^ebbQEah@T8
zs2LL74w%6#)k-Eti+^JpMtXt^K_rk`=2v7mFoXH%%(*>D+G%92&^gWiBSOHrq}KTG
z87%4BMQ;PE9bMC(eBdS#N}N6*kJ%aQ_ROL8)m;l%UZln5H)$e>zA~4Jd^n3qFN(ZT
zyRd|D^Xsu6_SS+eKXcmt^f~O$(Wqy)^j5HM6Asg^nVQfPR&lrN)I65A+i#7;w}urM
zlX|N=G+<`0>b*;{3)nJC>Uav*A1t~=kn<#m2Kc%^aeB46fJs&D^Nb?>#rAj_B{|uv
zL*saY7WvO22H%|dRU)>qLwD$O?`Nn1?Gp1BlE^Z)NEfY7Lqh{iqhjM06ROZ6#iHka
zbOjqDJ!B3$N(-i$qf*|cs$gkBhlbv-VkenY3X8hvfY&>{g_xxR7BP8=WT%~icK_EW
zmH-9_v`A0*w5<%yGzVH71UE1`mp4vk+Dx!orstO8tqeKZ>RXTKHnCHp5>kg`SU~(j
z|3Z7e62wTI|0gWJjRjD7V=@fcpkn)n_urjdX>$6<fvYAo;C(A$vow|i&Xpm#!fymf
zz8Z5VFP0YM0xnD6=ir8IBMyzklLS~Z`-Jir>EKU_xtq&44~%ECjb7bQgk0qf`|zs_
z;J!z9?uR!YFed(2l#!(f>3<yd`|2^lw{YXzpLqnJzqVRj)J75X!jGyg3$wtXdPdv-
z1_hycaOp-egCZcG9-~nL8|1A$_kI6O7>=Bf^8L}F00X-}`C55#K)&9Q4;D0HpcZK>
zZc?lO<HM>)Jcqa-JG3!V#90DHw7UzA<|sf*`}dW>CLVC5nOWWSOA5Y+M>d=+RDcs}
z_w0hq`5=lMd<pB4fvU(qD}p=g#~(Uqh7Iz=;RODci34&FXZ8M0r+^}K_ndUNk|PN3
z@(*dhnv;j`#z%6WUQq=39}LfJVuS(Aep#jO<YCnt@ue392~aCu8R2zD6b?yB1f_;6
z!HF|VJtN-<U=-aQso5?L#?deSUOBA-=LUJ>;fE457a66SlB56|>1j+qrv|3RALs8&
zsQ|6$YL1+%3<U3Y_%0f|!>iJyb76(5(Ei5j-KR=fDC(RN?9A5!uYV$Y&c>*NtqW5J
zqmn#~h&6?`4-!Ej&(XK2MiZuPaND!yE5L<oLZ1@HNHFd8NL&0F5z78_7Y?Wspt|+q
zsgfQtMCQl8@>3;4ki^|TtZ$V-At$mSx`YC1E=C2>KPd1gzO?kz?j24^MSYn*rVVba
z4^eKN4sdu7&I@#?LV9$$WM`K)T;4oj`2DLMBsFLcUdPnobdf<fABPV7vwm<Qf!z=$
zJj%nrBx%4V<6L9Qk~ZkC-7Fq-HU<?=noX&4O}HYm^|~Q)r%ruu$)Ybc1%{)9=5zP7
zfV<dPhVL~6W;1T2cwYq2>}QVtyz}obre?0V-y}oB*Lx-pZkWMzomIWD4H4Q6`3L)X
zNDzMZF^gs-6_RRaZ+*5R!hrjik8A0g@UE(Ia@T%ycz8iiqFaav4?eXzQVUe!==T<e
zpe1w2@?7n33Dkm#g7sOG5CV)@J<@eLVF6{7M|0oYH9=V~g`9672lID=gZZ;9;27Ia
zW)T(*s2$V|$<>triko<(bfE>fX6^kcd|C}G-Y%-yMF@alD<}8U>lV<Pny&Zmz6$J?
zXE9miWQTO8Adhl$3vdZI6I}O93BFiA9lQH{3;WPgKfpI)4l7MUdXf2xz;&-VMP_9f
zyP>`CInCD`Wc?h|?e56KVSac16vZLD;+5pvW8+jPkIEXZij#%VvNz8g%2sf)%vP@N
zQ7TAl`6hf2l7>~ohK;)tG-!{jpix4r8H8U?TfJc}4jtbr1!UM6&_r>KuZ^i0{PdzZ
z)sQa?eXrwutoxae+vXl2$#Q_KX9sxSnF#=O)T}qYjs@K~L2sX~4&WfhKVK%r3pZCX
zIOY~ukyp{!5iKVSVynLKI$z*`6pi<C)v0W#Uw6#!&wr-il$L(xya6+GO1Stjbh4o{
z{lP_<Atn&~P51fZ5IX3s9JTyf$A-L2{Ero<8-rnNsH%X|Ce|bNm6R95hN3h#vr_7f
zApX(kMyK3m%zE^G`L-4t8t&Sa6#vH%M$%y;@az=!zUD=WaR)2P=P0r5)Hj6vn63dy
zegF&c=_0G1V?_nUuk;>A7{D=$=uV6aVFS84`%9!*(Hi?dqI;)4#6KD5I2ij8&n}c{
zJ3PXI(j=e7pH|X`>zk(pZDN1mL8VJNgS9Lu%r4!;ELsmzb+VMK8-C%_Ifa8Ul`P1=
z*E}R>QWxs1y-mn0v-rru>R5Oe3(8ugGc7)#3%vM#O0VN0UdJjgq$tRW^v>>Y$gkId
znErk|@YD+Kc?=qDFR&u+HuC}n10DEpeR<8@d>!|w;W~ASi48e<pRr|psSOz$c07`Q
zHgFdExxk_-Hq=@#P@%4^4GxB0G7`79aNZ(|tJDm3bp4ih;EhTOF#T%n-{z!2oywoA
z_vUgS^6X7nf&~RM20pbm@1;eFGOTRuUpWy^wva0AS2DzB$y7up(;-{Gj=3IfZe*RP
zIH$eC{X8bwCw@KjXu0tNpX>=9q@Pu_XN;Z<$&XlmrYbQa{x@Y&j8t9}YSM5T%O^qi
z&_0%iC?<4=PwJSU5g)4HIzSV>n*<zow5E?2nbGa5qE|fk@*@&oQ6>Ev5lka4Qr-oz
zqPsjkpcXEG)csskB%TuCn4>}LWiEDf&yRLEuTc=molhI5o+QGh?T)j$^&IFyLSU&Z
zSr}3JLpbRPL<r+91g$hKlxAP)v|c5G+zhy9Xos|b^NAI1Z^?uFXO+L6J1K^qdv0Ca
zh}MF=J`u}Z`*@MVYlFQtS`vt-t+SyN(}J7y6AYvPKBQqqlIWF`La)Xc#t7V6Kn%KQ
z-t(9r?fcvsTrDhv+8UP_%T_fZMt?z1X;}chvks0wO_oIzzpyJ)>zcr!>t^e6SO{?(
z`@#D4xEx}srb@PnXu)ca`@iTeVPw+inC*H`9(j3*7Tj~zf>_fZyr)l#BICYY9P5(`
zXpXYQxmc?O`~7RwuStrddw2d32P_FFNFuD+ap$}T#l2EKPDmi1t>L!FVkN|-JyU)r
zk_ZG#zlV?8q|h{*y0e?43bL6zAl<c2gvbh3Wgib2ByjVWSWB`h(zVk4cjr0@u-Quz
zTz;~Mr-7H+M5~S-eN%3{rA>x?lX<_TuE`<Zh>nBnUK+^%JM9<eZ8FS}`W0PvbpP7o
zv<j=yMBl4kR&V{Hz>|I5qg_=B=(X~xJsZnf=s~ERU+1hg^xH%@eeP96nYC|DE?gxd
zf2Y$Y34*%dy6|>a$1(w(8!)r)o+YAP-`@S;J*>C$E)uR0Ov-3+*2b^Wkc0$%XGaxY
z>O-M$%EeI@6_imy4LIgXLgI9N?&b=Hu+jbZq34PU5?QvSCp(dld&#Yjw;mWlObhjk
zN`op=cvtQ?B}qcJshhru@+QEfp6a{noEj?MOmbp=PDJwQjaT>On!-Q<Z!C354ds1&
z%Vp0)L>5bh4#`Xa@4Tx&_*<%@a>qp{hfA911-bfPR4G6ntxL4GyE@AFM|XMu6?OEd
z71tTCG=nmgUh1jc>L|@qm*#`MD(d;5JfqfN23cPS(%1i}p~OoMp4U_>A<VG!6`v{<
zG9{#D)^_v+l9O`lBo)yE=d`ti04gMR`Jd^3rHVuvLw$sT<xu6s*HD^lD%d&6Wy!Ru
zAf7PenBT?Hh~1<tz_6GKl7oZtglc7E)#?91qeu*eZYp$99#Y|hL|UEgbtN?D$cGuw
z3n5;cf~b}&RQSaaYk$R<fT~`Y{GxB-MXW=-ntnUEa@(+~y>?Im<qZCKsUgIH=)@@#
zALyvSW^z`lCQKgfepH|ykj;p?ONF{lmzsgdQ7xexymBbzG>LnU3JnSnF)n_!-waxc
zZcq6X%b?I)X$7G}YdDkcg^`pw02iz9Z2bZ$lu__q?UU?0F8*NyoxcunvyHB>nN0%8
z74#J`asR}xMV|QgpEN*F(fn8O6j9XJQEcIHpcj8A?>S%Mi@_zEd-r}}!btne<0jIZ
zW_&T|<kD8ADU3_C+EIlC(OdD9{~Wq1aLwE|1$HeaFw*R_>xU>m%H6wQIOB5zzb*6Y
zXa$W4$nbk78(8zAh#yI&>4y?AOyK2#F+*dBDwy!^Fy}_P65~%i<Rh@YYsQtv7mPrg
zU%TwW9u8D+D6xJbHWRPlTpOOOHH4n)QAgSHS&_{a4fagrC2nmp|9OGM5C{^Xj!rhr
z$W-5d&|$g`|IW0TNIh%-{{sL3|NjivcRbZ?6aaA7-g{?8xc72#uf2Z9DoPZRG7~9D
zLkVSMm6er<N=lNDN+RR;^iq^cNr=cOd++V_=kxq^p7S}+Ip@1^%em&Q789a-QQF91
z{RJP$6mG04(t*q2(h9cT45(9b@Ogn(D_%Dt`(2Y+2h21r_Ym6%DBp@c#W}tc-$h@d
z9^<JEf2~l6TPPjkUt~W@7ut*OoYHy~(Vzv#0=}|eFW<z`uf=NBmI1t2{h%g;suoDR
zK9=45Z5?luEjjLFFofHwwU_m0X~MXD)5&9|Yd9wKm{wUiicia>G;OhK!u(iDUKR5y
z?mG1|n`7@Jeztw`w?UW&Q1^1zO9`&vM<%%0GnS@t5cLoWU!uW>13XqKUduSMiK(Si
z+bmAH=i~6op9Zq>wNkwcOL*aY;81JbJnrN;B~w2~h0^o+$=PTLA0zzZlc`(8<6B~4
zA6=$`eskaf{{NP6jq^7z{cc~zmw#Ir?cP$~jx%s|@6r;^oz+5?WM0G1z1Dq{7pD&E
zb-s)nF3Y%g$B|_h+YLOrb(*zGOdT}q)^EhlFXPDr(R3m2w(u$OaJsl6HE8i4aGbAP
z!B5V&?r>HnAmN-l&BCT?z&ro-Zg=r29!Tr_*LIU04ex)++woQv3IaIwuYOy@jYd~5
zs&X(QXa74X8cP&dOUjYHvvUJ?8Df#l%40(4d5ZM~eF`iYiulJr-o%d-V&&IdS<sKb
z<Bz^wSAnpqita2GI&|iCa%P+X8_Kpa`kMP&8Tc)~4-@1FsAIqD>2wngRFWb|wANFG
zn%&3$yQo2r2qqVgzPreUT)XWy4(F1AWs%xZdYl2p30@$cY3D&PlNBuP{ABoYN%(E~
zOGac>ZjNPZ^P#Ju)9*<)Nsur4D(RyfGfJOjvApttACX^J<>w2LU}yYKX}?MqRL;|r
z-K`{u+>?Pe_ml_+`i(eF1+byNR<V~|eh48?Ny>p!Rz&FEW&N(og#&4ThhpwS5hP!)
zbUSZT3Fu^Bq~=`ULd%5UBUX3BP*N8|OX7b@5O$hJBD8`Bb<FK=8n4`eMov!OJdvdY
z=QZB4_>1u&zYLy=Kg?1H>$DB{c|!^K>Fv^LF7Tr+;ST~L#xm$|YpU2>vJ!l($?BUL
z5kO_Znkyx@Wsz4%@>z#+C0Kn~sn--PgpA%x#%D3gq5fa?gVGyHP|=j}Y+OeKg>ewh
zmB-1WTf6+62tGuJEIoDMrGOav^t8~PsHA`l>)dVuJqa><Eyl(8cc2FPFMCN{iYVfH
z(`acE32a_`_;O1_5;^>k5UqJYMAx!CT5~>=;ohE^C#}KK=u;10vDZa18c$mMQNp1D
z*8D|MA7*4wtla0VpEfG!_{LxFTS*kK3%;5lptTcmpAZSWOHxI1>qb$os%p^VVO(Tz
zLk>;pc1BKKRYN}E_5B{0I*iiy|I_>@j|vX<|KoF1N9DE8cMb+oLC5Y%)lUlrr0u$R
z<E0c8J&GneeELI!Nvi(!SH+4b>HO9GxeZjLO-^9mb50Yw+8!Sg<RT*V;=$l{3mR$(
zR{rg&qz&4wVsVqMBoySac8icnLtkY}C8FqcfgeA7g)57U*lN9&c0Z#b7QM;m%!_*P
zFy;fROPMm-)SL6$9ZW-i^v{~<FBw438=dpV9;qOfxb(|vTT~R`{px)Fk`c^Nh`PU=
zDM)7HibT6M6|u~U-*fc`NMa4r3T>w#rBC09VG8O<#rKZSjU&e3u-uvQokJDzvkgxN
z<*6dYOXZHkyG)?1_o7?-JOvqC^=$M>R7L?lXT`L>n}ELK1&zF93gY}g-G4!Wh|={F
zx|tkIVW2mq>{0J_-VNwa6{qe(ehc##tzMWy^5jn}ZbTWGf4ZS;yeNxyhkdC}={E&s
zzg3R8mt-_MVJ!CNp9FHS^=|kyW(xm#$#lNmO+v*tO24G;6-K2c?H0q|OrfS6ZK{_l
zAs_C!dv)f#XjDtlQ!B$1UeX1S%+?f;2kobL>>v{|65MN1VgOq}q`zhgw$wtK7qneS
z=&bWH-L(~bInQ|P@E;S9SGYkr?J0*&PgKAopTGD8C)?f4z9w*7x$m@WhAd(f;ty~7
z{tg?TotT-QF$QVra}ldgq!E#n)72t6jLE)Fk!-wR48wHkU${*rP{?3TXHe1{_VmX>
z?Xg*ag<V#6T-n5s#L~D2qv#5@hfO7vc{~3@NAA1-APA!!<K%NDtLxaQz{=XVaSYzO
zMistQ+x}nnYNb)pTNrni*D<YCBZvx<d8nMpi}XGR+x{0$2eONjQ6yd?$RRE4A34W~
zDp@r+lH2G2laKc4r5J*5>h(9nGOQ>lOfZS<4;|2lO3!;Z7{J6@NydskBig<4_w=(;
zI_Mm0^ACv8hlE11gmyI@O6#~iJmo?M<>yT7%4_w2C9LM=8O=3(-=~M<_^~Z4&jAS+
zZt4Qd-ZGnkoCVxPu(3vrbqiyO35xz<t_zv7jmK0Arg4GudE@f(o7j)}b2)F)bfBoz
zHVF$E#{F4-)DWyUF!j_E-v)-Xp=0<=z=J2f_<4c8xP;_&>~?YM^=V^mIDwAwzCHc}
z*X}qS+BLU^y;vF-i^$c2tld|9ZfsWJ8iya7c7&{9`~JO7v0&DM`NYD8z&)i{<d?PN
z|EOzN`@7_^&9j=I9Aw!)%<vg&DscF5PiPH$;2OZ@)1v{dbUjZ*HrudxF}}bAr8P{*
z{BQc<gBq|S{n<_lwLe&*HJ9y<Gi%tTFsa46jWi&q8ds{i4PeUAVi&{yu3;Wo$6STY
zXi&|ni|7Xju}r&T1&vAT*zPhnzWh2W%*8UKJ}?-??w!{1XFs=rNg3vSrR||YbArS4
z_wy6jJ-0ynkeE%Z&PVrL(N}dyl`D6?YdMW27*gKdY2CsOG<%d2j;e#H0w1}iZ3au7
zo8=HGp#$!Ry%=dk4Z4$A=QK{tVLnO+Z7PxoATgg*EPGWAZuVaPFLPra3vtrZxSmW8
z^BKZ3!~AMc>KQ3%_;3*mn>;bH<0S)3DgL?1<)jKfSltvYk1S)+6^coR78#*vk-m;M
zlLD#3t3!>7tJqtGyc$<GX7Jth>MCRRc3;gHxL?b^j(KN&J^Esb1uX9!3fxIjfzktx
z;xy?^jGysrtym!&1lxsvc@w4#Au}wIJBf5)CRf8+nZf}>dvryVddP6&!m*@mM*`$c
zcwAsE<bpSOw)!*XWVmuEExq;uJ$SwUtlPZE1GaWtL(kuk!1SwW{c%P{IC`?qPTYtO
z$R+%p@){%v9IOwEiD80wAEw^e<?w@K_zyAtY9i3G-|JeESRmHqaP?VPLFkF`QRF#D
z1kL6XBTKWaa5_oZb?Ac-Y@9l5voxm!yrpSxS^u(wPliFu?o<(|>nfE?%vXYCamJJ4
z1THwsc-})gMhv2MKbNoYQGx~gfa_EHdEiv2Vewqv4!A8a5M61a1R8Bx6VxGIaDS{_
zEHNVq^4u1`b<~yM=7g2LhABT#{8*c9wPYapck}*(x=L`XMZaL8S^zF+xtQEckcE!$
zuB7{}N?_oZsE#=Z0pgiHTe!9pxN__=Egma@S+}3+0Ivu*%_%P=M9Kr#kklbgej;3%
zlm+`qQP_jp>AmF?K;*C@0V^cJ<zKt5J)05-QL&)+!M_yY(u@87HTsi4@?gP_OG1+H
z<oxGDZ4bBS@skJz{!3(_f5#;m<|YmHb29swu8?8&-kph_GG(Z)I2vR*C<BE|Zv53w
zDqx`OevL<u0=Gj=V#HK-g6(xGG15R4nw$M+A26vwUwv}%&ImbhpxvQr#i~J3+~T8M
zBI?jbtRHjjmxr?CrjluIbqFmidH<gs6;2L`BtN!P0ENd!Pi&}E7-q&j0;_3&3&&dD
zc&P}xUBi>td#JG2!#yVRfF_7kG#)b&Cc+^5gRj-cX^<?d=xfBK4G9YaPxF0A;PfN$
z<;H6oocy+2&^)dK`vg>+eTv9X6vXl*r-=r1Je@@k2K9hWPovDDNg3oVZxL6rX^@y&
z?$kAD091UhOLDCWysU1fUzMT3_Z&Hq4~s^?L;0Owe}w}671>YC9jRb==mk3p09dW_
zO*p<nfh*UGqq)u0Vej?P@jLFuAQ&F~_l>G5Fx_9soNH5sgL&*`wrVDDo;BcfwwNkp
zf95<`zn$Oq=AaqB9upwyM0c~jra*AzGo#-?gpdE`Ke~9C!hy#=b3P0dh<h(vrjoM@
z7>LYro9|4apz7x1C^i*fj&<0B&&z_w*`nt^=S<;EU|+v*Ga2q|CSEjalz?|9e7r{1
zP2n-)zhHG&5+F+Ibx|Q<xbpg&j76U*#1dTA-M06{aK%6S=a+aOjiJZJGv5?;|Gr0T
zVo`)F7LhwZWrEX|9}C=UO(Dc={<yE+F4)v5C43xQ!bYtezIl(CKq^DFp0}4A#5oF|
z@1N?$zOEhD)46N{B{wf=rKN7i_uv!g>3+kxD$KP%t{Ou}?&9q;x1{0rRN<R_on!cd
zQFa$G*cdz)wSBvGNkI7Isd((t0<IvCDs^=k;GgKrE{_3G*sqy;Heh2Fe{j%DgEbI9
zOO^P1_J<I})!g5|+_j0H*44OHIgdg1P`F3S8b7odJJbIvr9<cYD0V}17##TY-w1~b
zFMP~@ZvXu>0o`7b{qs!72$YkrZ4^&&Kxkj-dUGuS)so^L2ha?muxR4zdO8byu_t+P
zzbBvv{6u7N)BsYnWba)nV1VaVk3ILM6OcgF#nauf`anovHK&)QgA6C#1hNSM6+Ikf
zZG5K(##%)hyfZ79V`}+kZ6_Ui*|}~JOVESA&%-_Qtmm-{BrWF^A3F5)WQP4c3thO|
zr{<WRK8Ypu_*tJ?-olq9yPrqh)&cu)jWWWse^{RDQ#woX7S6O#X7h1W8$P<JAMv=_
zg?&5eD|t0&6X$7*;3Jr8Ly5Pta97<YEcoKb^j%{cxZj9z$k#kAkP*PB+(ogNa>JE1
zgP09mg!}r{UN$W_)N(_cbFv<9@PC2$Z8mV9toG0ue@zg7g|1oOYsDvjNhshJ8~D>@
zI+qXq8ZdN)c(?XPH-2<B(?9gm25#Bsq^9Da0pI^UI}x~Z0H3lv$Gy?Eforcj8?Aq#
zffTz?0)cY~Kcgbkk?yyNzpbxj=i5tzuf}IHPgjiM4q|j{(S}=i{lO!5Y(7z8Q(SkR
zqBDu_2y?8xv6BwXISLNsT2nzX<(#M9muY;dq)Xs%9UXF(H4I&9QwPT<euUhBS-e-s
zE0aBffL=Dp1(_dL2Zqes=e|qL;{-jGr4l!KRQTYrSInFmTwc%<7;9R<<GU74UUy+Y
z;iNCO-d<M&iI+pURgp`0*}<b6!Xb=^|KPKTVQDoucsoAo$G#OjVJdJ;7BQj0jl3bf
zKvj@>M!)+GaSiW`+__Pu#Da8BWZe8+K>_{z9v0_qpY~{MNtsr%A`hic^fQF*IeRFz
z&r^R37ZEh3dS7HmTl2R_4R$KP-scq0P_tbJGMClJE}STi_+_NNL>Y=3BBR@92<Tx%
zGW%cvH;Q=5)$1dm4B;3)v}DA9=2<_kJ@DW~J|p6tjuB+2oHCEy^Mnx{e#6l&k<W*s
z^VT`-)=7{!&ym`o!i@T>UU;*y3ZVXd4pfT>6726cvCjU<f-<oC=7n*B$SS(*uH&{(
z-&oN_vp-}*S#@sN&T7JF&VS0Gr<@2A?jMJ)-R3}Y%b)Hftcjq&;|oUuP7;Bu{x?@j
zITupc85f^FDTWGQZyUQZ5$<bb<<8RcqG!B=K+h?G7VyZ+Jq$z$hGuCQGd?sjaLK&k
zkQDmd;O3b*s{~@-`oETKJDGI9iQ(@F8H5cA#vWKx0<B}!EeYa+$bqCaTJTmD-TWMI
zCR=v9U!L&$b>@{2VmW3}bXh?T(M@jo-8w}Cueut^IbRVZF1kCPt56;t)5M<sZ6`us
z%u{iH3o)eK@*w-1nF8Y56DL!Do&-~CDgSlv-hu2Ajs?A*Q$$bqMfJ}ZkikV|UM%&b
z<hFk*Q)|kIXmrn|ulKR-{Oc9ik&2}epUPc)EP{+`yi|+L!&Ts)N;i8Bn=D$c?Ecz%
zSOrzp<-7SXse<$^_jg=YJCQ>*)6<!4hgQ2+zQ60E25Mg{)2g%OP#nKhaY>*Wav5bl
zbuCyORNk7zrY^`M%Yny(ZPw~2vS4A;tZaLq6!IcEA5uW{<Fki1c&KRK(0;v4Q4L72
za>y@wt%xYaRqq5}QPHfWEjc`269lIQZ+zh)qVj20rF|3{YGgbq+<sIWUI;wXdGAC*
zldI(q(l67{ht|W>zf^Uh=uf9YNHQ6nY5y!55KTjY&7+SyCG>%ND|M4QPZ<eaxo<sd
zLqqRY6H{rzhA<#rcF7<?1%15bhvj{zB3@(LT^U>$ygMZ|%Z*Xcl{~KeYSwKRkDHx2
z5d?5dru=i-D+*f4Fj9WMq=tf&SZjTc8iR##wq9;O1qE){ocgm*75RqByI0AYKuBf!
z;n)TW$}hGmyJx73`g^IzY#U7=Nh@zhj{CMlNe3PJ`jrspzm*XdOH*iiHSqJ&a~1Uc
z$uIL6mtE)y<EfJjxu$TU#ii<Ng)$<lVTq&PWfAq2SJOzdDXblq&(Mk@qZA!W*M(XM
z<bUt=(bw&!u+QPy%i}vpsImCA<7qQt<T)-GwY%CBuGFnJorzUK|9n0?X>{R5R{Eun
z8zW5N>&!HD<Cg*wZFqG%YacVR3gCRhu5JqEmd32{qPx(@XSQzpyjA>z&7;Pl&nD10
zm&W(rMh<;iwpbN49>Pxr6~FoJwC&T%es8H*Sp)`#n#B_jv14-Xj?w+b@OG=DX~!LD
z6qNSFhUeN}?BJ4$;Gm~5RJ|y%9t8<xcI125v-}y1?ir@L@(<weZv|N!0WowlEt_|1
z#}Zcf(3)k*8z8?q;RTO~FjD5E_;}2&VijMU=bAe(xUp6led2%s%8mP{%6@qRi`SR)
zO&m6YKUhxGiFdqc`F*ZV-_#~1Z5;OAgw6=0JxcOWD<?{1ix}9QwS`T6vwP$xV+g}h
z(~Qx#SW*Am%S&~ITiEr@7#%rF1Mne!d)iyWh_qR1*WC7RVZRv?{wN3Q18Z4Ri`YH_
zqR%Y*WS_r@4S2SWQeNqS#I^K@5ubH@A)h=s-LioZQUi$<bGlI95gwp9wurC!Pt4vJ
zUB@I<rkf7v>q2}^=aY7pS=@i1t>O6A8YcWc28)c<f#1O%O3NN&c;z?Us@u|Q*v2kH
z_r7jzh!$vWP=7gqf4VPnqUq2omb2m@#iFAPJfDv{H=<woj*zzz6Hiw#UDV>AouLI=
zf4&g(Et>G0<41>(><T8a)oXQNT@%K?i)C@Q<>OzMze^u`w~VROg|zp1X@YZqNbDY!
zD(stBUR_cAGIsY%eymWd26Va(XD`iv#ngwt|GgivjD>bm`73v8fOq$zcZ5?rmJ@$x
zIrGUfChdRCKDUMjp+-eHHEBJVs7zaE&e}5O9T<A;sSXXM2b-@JJnY8~X6c5-hpk|G
z$_|HLzM(>VkyT1X!$0i4$K_h8#wr%m91@?aM}-7z>X2i@Fg9VP>2O1Q4eKj9>2~a$
zIuv0Xb_FG4Sb4@i`8Tw6Ot<2pYwtdFkmh8v{TMrmS=&h2YG2#HPW+BH<Lgv|$cqiP
z>0eG`q3;|Sdl|Q|a6J{)vD0c0xYz&Wn%pcl)FH-k#hnf+H4bx~BB+7Il6h!H&KyS5
zdtoKvOn{Ufev87Is$ktsY&=g|!0ziywJikD!*WH0|8qYItdq~&4QpJ)Mpq|TXSUsH
z6sE2I^0^97k_;=Kg)U<QVb&ui{7jH#rL@O%SsAW(hn>wmxQa#7KcqjG!3_2K4)(V#
zltG)LZ&70RI@a8x`rF2w6|Rhj(9b*|gW)%>;T88y?BZUo0Ul{~_^YzaT|yv3evsp-
z2X=JOV##q!Q;8F%e-})^X%gu6xQ~l%dwV5tH95zV8&Lc+NxdE-*pm|kivQ8W9%=S8
z6JK87bFtrR<wOLMS{jr2QAUWlV);q8o)1FYjvuleP=bI9oe!6%nBdXeie#RF0DN@v
zIO%X%2`*`zzrj_=0y|W0=?HWP!f8ECQkJL^7`5;vuEeuJ8l+Xx?g)d3SHAj#Mn#A-
z%hB?<!vWMl7VCErqL9pKU#}Ib2<t~xuZp#CL0WX(l}j1oke>*>k<N<HH$@BPkmChG
z{<YSrUlKq(_wzizxgrR^c2_D7;Di3$BPY_Wq#<^1?&;p``)B#1-D1Q1fD68V_;OhW
z7=4dY&v+<;k+v#DKS&Vb_wM}s$8#rCjB1^2xUUF{oI~dsm4%^%>7q3Em>hV~jsM8p
zQiRpZ%3Uh-q9B+qCf6Rf3!2P#<g3IffsN7hvgC#sc$hzKSvFCGP&K=ai)KXVu&p$B
zCn*7<scsXzd_?f$-Wj&A?S1W?9m<D2rQitZ1MB`762#D3O1|(Q!z*)RIq{P+pd?3$
z;_FccovW94W?GfugDa6({ahA4wG<fMZKeRr?=-{NR0?=|7D~CW$bpcL)96nZHMo%b
zoaOaFH4wg>z1P849+Zk@pWof94lxs}K9kYvP}%E$xVLi`d`sD{sH{K*j7!h8Z-@%n
z!Zp$(`xW6$OA|eL`#ezprVPKV0fPpoYUgW}U?7)$Sv-;kgaLlK`!p@M*TS~NuRwzK
z?$Vx?$!(u{Yn|#7)`7-s>AblhGN`3E<QqzBKv;L+<OeZ5u$9fKk}KV=>wU$3&g>eX
z;bp&DUflpLBv<)fsZoJHmsQJx3TTjOb|Ed=+6W>;YaZ0xra(#8P?`4v6+E<RZhEKz
zV1F6$W9q8F&Nph2I-?GZZt8}&NX9VWOli3or3yS%HKe?UYH%m5y(f^<1ni9%5--K7
zf~a+43$G#t7KfgH&irBmOI)1RY=){ZlXczZ=o1qBB91WZ_BMsCA%AC|9127UQaMz|
z6hQNB^A4+@rVv~`vJq6K0tFq18(78Vz-hxKWUsIpJm1VqJ|C$JNq4UgzkMYI*W<#5
z3&>{R!4x)u36nwUSJ9wLh6qTyz3`)mnL!d$UPVbD5q9!_Ie&nk4-)T6I~@LN3REiv
z^$Twl0l5#!^50~JsVJkM<TO+G*kPGv_GcH2XJq91Nv>cIqj@&3s+fZ44S!FCbvda1
zy>#27tQWI;-(BloVFIUOoGIT$cY@a1XO&f*pSY-xe|?p%39xvRXWfltz&ST(?25!R
zo+wEu5H2?c+MDYO&chOr=~;V^>bZ>nS~=>mq-G3BHSqgkm>3ju?^E`_wuzTc7G9h!
z0=WGAr_lDpA#f~B^yo<fvRtq{^O+2=?0n|d<bDBYWT{kr-Aa#4mK&MOTrilC^!pW=
zzzY;s@sN|n4CvH}%~5GzBT)0q;Z5Y?gu1IW4XQ$n$Yj36r8vqEoU27=94@oKbkBwA
zav~#I!k*rm$~S;>9Bfl#2N{4YJ=xjBz=$0GCE8@Q=!5Sd+iNY#7WSivF}Uds1FDdn
z5!7JOhlWR2mc+uAu}+(m#$65!2<)cZC}w&<`T4i`bj&Q~&ghpmK1Po|%=$Gi+|UIf
zb8YV*Cq}Uw6`33^k@P5Bn126ys}8JM5dA$zd$G67lMHV1^vLRXcW14l4%96+a=jh@
zhRt&{r7yM;&?7xB&&F_VK-V3X91q{a{N+UUJh?+aCcK&1FaK!4l;_OmH>U>N%shzi
z<0S&Rl{lWi%S;OzS9CcF+S>6I>MzG{+kUU|z=`d}n!qE{(y`-AAD%fxQjH5CAe?E9
zF;+qo0();I@?09klf9;nS{D&et57K?YqAEgrc<)n#m8_z9;-y96#}a4YHKI4YQUP)
zeHYR5Q@H&%wH>RT^e9u@75^4R1HsAmub)25;0{v-r_-nD5z7aPNFNgo=I#3wiqIVX
z>K~EVdY1wDT6jL*8&3so!TH!TB@1|dzoPV0A4WvlbJ3AOhzhFrwT{2eSi&ivp2kv~
zn9vT=WqsC1>JZD>sZ$uaf*W-B2fsMWjBZ?wed4024(}ct`?3YC;SA~-ZEv5lpn?Zo
zFL*wy!GCH`Z4E;=@LT>KHo_ciC`?Aao$9RyHP5GxUbwS`i?VBGwWqVAyCydW|1zt=
z^egVjL&J2)KIK1lS1V3L2)X8V*FhCDi;7`HkRF*z^rtweb0hk*lv(qq6zJUfyW_+m
z1~lPzZmV047qR(q#qMRMz=k`?=zS3*dVcEqT^~z6^g1N$=YBsGU~LqPVwPe?)uVY=
zMdSImotRD(?N<i>g6IQ=MJy;bXq?nMDu75$&vfp3D1+c~cz^OyHuOG7IxE>n2r&@K
zUu{g2A*fQz6;tLwgzPJ?&vA;NIDvhiGH;ThF%8Y%ljlMfM(L5UEuv^-^FtE5AsNm-
zjByd(!-JlfZ4QjqiX+Lz0-D|?3HHzg0+X9~kpXm7M*WaLV-HjZJX%Q*{Odg?$;prY
z2LJ&7{}h*ZIM(kM$F1zW_nwdSJdeHl93v$qqmohyMU+w*Wfnq2BB>;#p+ZVKJ}05<
zQDl_ji^`_VjGy1X=Q@9!>%Q)DUhmg;f0W`Bl*4h378cn`3Is1m1r8q)LivK5e+SFu
z@!d+qrlWNfFmjMSn)^){zgA|1SFtPNo?cq{`$-C9J@Xs>5Gac8W|$bR9ah4YzPcCO
zCYoS)wxa);vN+<qTV>7Pl~G_!qrLc^CRD_m=LF74;F<XHK`B2~{E%i#CRl2Lawu&q
zeOL;W^|x=ZW>rUFKKq;jE^WA0luyd8$Y3*FWTNk}25L-8JMQDw0qL7xx7-z%$E9>$
zc8!CYcqhrA;>9LiU>M%JtZAu$n-pw5-H_Hs4l8*fdoL<PWQ_F5gec;({99$MO*(k3
z-RDNy1{#E_A4@TMse}$io+oY_Q&C`LW!`ox9n$KR?m055pnvJUyn=sJ40_5pTNb7V
z+&g4py@M)_j>~d!6w;7|*F$-}MIV0ozes$0O%0d37i&|E>8N$Y?`o#KAxQTo{5kYZ
z9XVVw{~pVuBa5WAkk~IHFdJU2uNI)-T>a9=uibP^F-PzFxh4>v?Y}8hM-$!VlZ0P>
zrQ^dC{}W?J%)qs~7@{d!C}fuN+&7nwW(CDfELIjU`C;>p(j_f?d~}wZRG_1A#lr9J
zf&`?^=NA&$+UWGIAgFpj4S)D?Z#?4*aLidW%8OA4|EQO<Zr@AA$ePp9d4`ryEvZj1
zsOq3|QKQIND;*rPW^$_^wFK7+mp)@w9V`&=NmM+di9ErmI2>yQ4X@`JdUCa~!hWm4
z0cUkocgwk)vS<ZYnR3sh%xPgqt4u(MkP1Gr@}9M`w+7POKOA|r(Br9^npu+qx^ELZ
z(;RFKbqVW|wv175Hr33we!UC|_l9t`Mp^^?QsckL8yXnxsps{4y%?$&X?@B+WDR0j
z5sSB#)iKk9O)2!908S3Q{P3D?4Kpu=@kg2}{`iu^wv*(*OWJuyRDM~(^^4U6)3`Do
za?smx%$^Y?-aoQnO|}BXcFnTaR!TUpXWde<<1hIxEV7lZWCilvK8BC86flj2;mt9t
zK5~Vn!FHn562c2=6QjoEkm|6fl!@ma5#{|^z23|cZ0l{sYd%V&{z?B|JHLG=)~h|$
zxb_|(!^kVcyH)}pS$saep?a9O*kAtdv^_wZMy2}9tSF8)a|(D^O%Z>$`kM_F5^!lL
zRj+b~F!tSS{(H9P53x~HD~PXhJyi31f#fd%9GdiaZFh8r7+6o?e)_`#GEywwY}?C+
zdXoZ$1G=+B>+<laGprU+1zog@PFy(OP{TOpGE3Zyh)cYqXAV|=pS$x4+0dY`gp6gH
zC8oJ1+_Zen;M{0jRjmgL`o|V3wd|cCHpKC_blo<EH>k{P5y*&YVo}QlXa5rZW?OXj
z51D`-7aOxe;WBCWIx){N_7Ac2$fNXtt_f7^;+1A+Um*2-!#;R~OcM-CE4N}Ije-3U
z)i7%6FS)y=U*F4jium2|bn@^gBd`eF)XuzXiafMsfAEz9lLVg#QzWTv1j$cY&vNY@
zCC}fF=VWdlC%l^FFB)Dngmni5_vy3_kuNlla`6a^5qfGz%oC>!pzg}LRPmWU()v-&
zzU;^mBKMVx?djbH5Cy4028VjcA?@PR9*V=nqN?t}<`4S7WG>GcHvWm6+)`}Awfc*&
zXE~F!+e9B0YhCr%mDiC)F53sXMSc+*xy}nr6zf6ML5|o<+bc-9Ypr)UeSQ*(g|VXt
z)%75uLUoJQ?c1cb>V-m`=^?_S^7+DzJ9LOF^=@sO$t9XdqnwE6Lxh6S70*CbIy}B_
z@4-0zlK4Kzb&>1o5b<X>t5od+8aR~o>G{vRC)gu~56lk@5f5G^h9=Ny;CgXL{c~3x
zAzE!6pW*bAD0)Kqky%cK6PagQo)@$bn@S~eBBp;5C+-y_e6y!QMZ&g<mC{edxWKHy
zv)W(8RQT@fl-IhzK9NM#zTH7w-q*_d<jZfuv3Zl`+5dFlT6REiU|biGt>!myOlE|b
zSpWD;fS?X+zcJ%D=lzwCsx?bJlRZjUdkW|qY}AIJrVs<^t>20BS3c4gc8(Kg+RIm-
zpVfkfhD~oBmHUWpUQg|>YLi6Gvgp0ecbXvdVo&4P<9^~#r1+A=hAAR*$2IqJY?`nw
z^ToMiP6Nc#`IX;}anpp2w*`ByGX+$}qwU){hlr(w+ecQ0*Zx1zQm$}Y1DKq@)71Na
z5=y_W*RY?SAq0B(w=B)81NTw4<dm<!iPN>4ma6G<#39Z5lN#IAA(Z!^;r`VTBJzvI
z4QA;DqDU*&@L`!6c+4fl={t@S%TnLG`Aq&1)vs$<6C~B3@N{2hl;0#_>OC`vDa(Wm
zzt3z-oGRqY*5z^6O%YO>J&TqC44~)v^K0&`3fQ!cz0=zKhoEbSvC$(KVaQ+Yz3fpH
zh;uj>oj(4T*!)34JDHamHnoSENB>raDD!&-wr^&M{s;bY?6oYA`S}&WeMA`)pDxDU
zFPkTLduy2RF)OIn`CONsQGz{pOH$5#UnD{v*jzHKV+V;|H)*XnC7^9i9_F)LCQQe=
zZ@Wu!!LB=ExgVsJz<}w1F#GpaBEGet_{v=#uzz?+;{IDj&}sKh{k)$MR^L2S+iS`X
zDDKx)a!?T*f23yr_{#)`>O5JKs|CQTi`imEToDdkeIKyr2@81Ye)KgA6@tMtS}P4-
z6hOJ@?xBs@tiWJ;S8aTU2sr9kd3M}ZfFY;FopaCG;SJ~f;Q&uDh!Zai<A_oKsfmdl
zJZxNWa&Nt6a-Ia-*{)Xj!CwJ*6ZR|zrSZUE>-IWXF=<G;Y~?+EL;>EU(sq_;^Fy1y
z$;h`FS@^L2oYiQY0@TI|g$O<qfLQC0XX4%R5b#&9^2=)la5k5B$~hne?335?=Z-5v
zb6+!aJij6ox<vnBF%$t)y5k;34Q04$mEM0hSrHPI^po55#UNnN^KKZEDj0a#bu<|$
zfssn7jjM+Q+~2KFlrE{k=u_)Q7lo98b>GeNuCJxw&_Zu&x(EgMwdXe+)=>esTQVZQ
ztz{u!=A`r{J1uD5C23uostTg_e>EmV%7Z&uS&*Nm1COp={QAyP9qxy$a?__3Aizf{
z?BfY4cx|%ED|Mg%!}e@xn=mD?I@r-*nN5RjtKXONQ42^Px0+5-6==E2Q~2jC9V{7A
zKYHfsLf0#QrFc{Y_qn4ReCqVT*3t8^{23bD2rem<IiU_}vQE>BFZ7{JF3g?SuLlRW
z?&>(KM1jooiG5lj29R^a@8atS1JG?=NR+PAgxds_!*<>Piqk$n>uNRv+Bf#S-`up}
zvh>z3F`9-DXsdlk+ujt$oo?N|Riy*QOh4B>W-^5I?K}sif0)BiIYe#zrwf%*FUBNJ
z8o+)ww`}e+1k_0XVRZ_j!XF0~vD^@S*k+ju`V5wk^35&6=_3_<Hi^CS6x0KcBpRo!
zmKC^PU}WeYrh<`dbmE<@G+^}((lpbzhO6})uhe^}koZS6c{x}IRCBE(e{tJD@Y9Nu
zPp?uTYVoy=-!BbN(^`(&Rcr$WWA3d_6{s+spC`_%rUFUNE3Ui{-T(~k-`Kt^=s@&?
z1-mvsdC=~*63c`Q;7dIiaCM(HoON~F{i<FJ273p(LJT*+eG{yF7Oe?w>>hc=tGuwO
zDaNLA*#=zh$Zc6Vt^p}NUH!$|7(n3MRg+)0Y@qcBe_0}^LBa_1gf4s|j$Sp0-==B<
z*U31uo2$wY`7G<?RL(G2xC5#+u3JN|ao5ALwY_{M-%*^iv`nJo$d=vA)^LLLQW0~k
zJcMn}@JJ6@ho|!Q`WpLM0ndMV4xts&P;~Qge}g?I=0C`^k7=}o*}`5=t%u^!sZm<B
z`kn{*Q<65GU(0W+(N90Ib_#>Q1?Pn+K7PEgF+5`D9RR;wSxU2;1>k^S_HXVce$2h7
zaYS4SKqy%EGw^W3;AK;OQ6m8yO;vawLnXkr>invVC@a)=%SDYJ5J0Dmr_&2e)<cJZ
zOX#&n4A67Py`x~QzEX4l+=`<GtT=Sv!1OtyHX!v=)dm4P*0C%6VURiG^HKxPWQ-B{
zy*|6DBn2>{I{bP5T{B?xQh3~**F(fI@U1&N%#RxmoJ{!AZwk>go#4gv7&2u*PVmB8
ze!TBiaCnP`DQHT?bGHq5ku$!Y|Gs4Mqe_KQxXfu2uu0g_VD9*fBp%+}_9cQJ^%8IG
zjcYZA_PuSgFKnhrjG3hMp5n*kbJ-5Pw6z?<!)?+xFhd@elCnD($&ZA189ncs5eOxm
z3H&CtNM5A~d0S-jqsZcPpclIl@NLW2DEYTc>Tjsp@TQp`@9F0Se2y>#7w>uV#5x9C
z`ryIPBO!n((SED17YyLzEd3T4#)KA)!m93J0;nqTocbrs02+&OORkHv;IwS=uP=WE
zkmudV@gpn-pc!rP;NHD;7*}>du<g7cQm57%si&{)&50B1M|Ie6Ywy|X)ifczdr(5%
zL|q?_?+7cNe#(y5_xE~f&kCWl!S5%P@AcrOO`CLw87CIGf6GbyER0M9i^9S|Jz)0<
zKjcu)g(99egghHXaCkzJOOa0xn0OkQ-yGt>djS@)8~Q}?`hvB_6_O5uf1Sd#1o`mm
z79qVFesOGlt$VyYgbv#t<gPsP<wpm8?eLTC63ET|pTDFr9rjTFc`$4jz{YFFJ6ozG
zQSa1$RhEo&D9k$Od2NdzI+v^uvfV6=T7KbQete=qVq=Way6r+({?M&VWK0IjqUjbD
zk7=;0dv)Jk|23~nXLl!x<j|T)M)pk>4R&5_eDW$o1TAcR{S2$+v3%K9@N+T^Sh9Nc
z99u*&QP;BM*E<E2nULG8kV1o7?YlPH%88>|?KVs121Qiq^v!L*NdwJKrH01mB(Sme
z-1WeICG6XJQr^6r23C8&oIbfAiT1g&D|eYy@Pf|v6Hmuz&|!UtZ!mUk?$NVJaoVaF
zpAviiE|m^GGjm}q%Ca~)f7QfhuNuA+sr_&^o(_^1RtMg+%i-t|HPaob>L~N}w@|?!
zI!wvZ2UQ#7F+`+q)q&K&UGYx!n}hYh?X*jAc9{ZZ7ra>R{z<`88Jkas^6LY`>iYAk
z`HFa){3lz?q=oD3HRjtZ^}$6yzVTDK65itXuS;duM$eBg(^D=QK)~&u-7n*m(d%7Q
z&8aDEtgDhuQ$KD9lNw=xj6o`BS#;UrX_*f4I39cGe%J_pY-G7GyjK+`q}m0x+v(zw
z2Fl^dU}FgBKdnPESHnFrSvz9x>Y{q`o2aZSCeV=T`iH`$j@}YF{W4X$c>ncO@NYDQ
zN6PxMKdaSIV~nq1`wd;p@_)19{>Ka+sqWDB^wB`iopXL}YPx84$2lrc)dG%o%o8t%
zHSirv=)%fD9n9&m;P~mh9ysI;-W<25;Dy7&EM~j3vD&0@R6LLXLtB{?jH94|sMp=2
zYwuvLyQ1~N9N_p*D_T<~1)~IuWcDASV5x{lng0`jB)wI&;cyCu2*qFjovV%|FYGxA
zL@j~F=e+RDh=N(g=LB7fRI$Y8#&v!lOW4jx_1FKXfw3*#UcR}?D7`1{nR&h?L?5e*
zLaGJ^ru=3LPE^DK&H$yH50>C;v^+I(N*yge)bT-xJXW4*%TM`Y2?1<Zc<k1E|CgD@
zF1>MS%t>wvrhT#m{z*?o)!VALNw8PlPhA3=p2cc!erpLTCPQ3SS!+JLasQ?h#Ul9C
z&(e+SiY2_5tyzCIQW-hBUsjtX3*t_UmmJt{32%*{v~Z6SvUk@oN~iImQO<jFXE{q)
zz7(WNF;K+a5agm)&x!9z?)taw0M_4|c1`dppkwSC%Y^r=cwdrxW>*}*m_fI0>JK?Q
zpL1o8NFX!b5bSf5paRrp*mvK1DucMtuu@gSfN}vnky}a#xUre?l;f5Z#$8wu<MLZ3
z=XnD;-Yl*MroDVoa8Cm1j@!?e>|7*med`B`Y}NzI(5v1X&0=_OGL7{hb)GD8eeT?u
zVgWgawO1S^MRB8oP8X$fmORzrcRQxr91QJMyK@tS(N6Juf3)r_*(lefp092W1<@?i
ztCB)U-rbPvCN)cLwn-K0J8cHGCZ+rqtpZp-_VMIw%q(f4<GAf*lPQFAY`=2n0Y7Gb
z6w6!QK1XgQL+3)&Okr2$(YP&J`0%mDpXGxQ^Q3TBuA57&2~21x=(fc2U=uB$W#hyG
zxzA?#$>Bj`P;`1O(e{rE!#|bhXWjZok{S|!8#WsQXUEDTg<?*ePT<lViCZSqdUy7n
zFEfIWpvsPzEDr4FjE<JcUL~h9#|E<%ji5HT*R$ybI|}CbW^qn1V9c#^KLxKCg4FYe
ze#`9a*k*UNp<I~>74N;+JH}-Q)_2uPtP|PLulaB!1~6l?T<{=0-T>}v6%~pavSA*z
z)Y_$y1v|?d!^c<+Acm`s&xnT&U7RJaZM0-X)rWU4XeQ|c%ZR|q=iF?l+_o=gq@E3v
zW3Dzb2<wBS*00n>IvWns1e@jqIFQCLU>l#O2fH`Kf2fFLL)npXyErW_>=Edu{m|0`
zCCzDy@B|w^)v<*+Rvwg#q6-_;)8V7qi9;SS?3gg>J-EQYhdr0hPQCP@1C#gkhdpK-
zSUD9``YMGV&nER07IM&GQ{0a@UNKJWvwxOSULt@soZBuqmC|77?4oO<C>MG%^Vg{j
z3gS7@lfoSPX)t=$a=(EYH|~owioZh@#>*m47)*p{z_$D42DLaI42ahh8%Y<z43+QU
z?oCw4R8c?tZiW}@jgw0r@{6IpYxW)HG%9T4Dm$dLksrg@(&kg{i=$&yk$%S>D)4NP
zv@lj*<MDyYDy6-W*z#%GHB*-gj}IyPe32Ezk;*omW?gAKKY}-uc&H#eTp;;NbB$BB
zOV%$GWHGt#&c%Pjx<EPRy~*BD7*F|ks(qG_M`Puf;gnChpitXt-JL9g(|lvY3-q<S
zPUN~=>d*xz{-|NMeo=JI7|>95SH$0~UVYuOx<J*t+vMjYj@wiUVlhJrFC^(F*GW+!
z+%9}Ds9OSu25y!<?@>m^m7YZr2P*8R@3g)WA%$-Q>|{6Tsv_%cvjwFLDwwh|CWV^H
zpjO^n{?TMLTpr!}_v-`|LO+I$*zn8YM*NYfF{O@w2P$9dc+p^aKL7a3NO^R)HJ23V
zN<p%JSbc7S2FKs0nm0u$pxeX+>!nwknEvgU%+ITIxUQ&M`*iIN#u~^@ln7|!IkCpi
z?(TX(X${$`d|e5%+YCZQcj{p9+v6t;*6YJhy&W(0ik0zZ_k9-s2wi-BTrxY;!T_vu
zzLr9z3Z~s^ko8_q#cxDW$rCq2c<kP>dAwB>ixRzgpn!_JH>xd?FB!qzX60e^PBmny
zF>QAmrsA<u#Xhpv7}}EZ#Y~&kQGL$EpqG<|jvh|!dkIrGTlU3h{ILeMs4K^GGSKj@
zVzEl^Lo?{S9XQz-Ou=AAj?11OsmNdEEo3Tf0Uc#UMShZ+7~1*w+?M@R<i6>YL62V#
z`&PNh*H<(#>A~mcEJ?aZ%E+qJ^b^n@xvC!dpC+2!^80#sQ5#uYR#tp21MEMYYM;NV
ziS7A+Cz!>wkg?Yve<)aj{L;75te=`#99YsVKfX5CWfR|$8<ueO`C#Og>zY_-v*EvM
zX=-bHkE||TvV?y7;BAj2G!Y}`Zf+A%!QVD!@XyK$7!=&=YkVlUJHGu$=S4-tk<Y1P
zN3CE-;9_o2q6UgaZJe9nl}9!=oigo6D+ufH<;;&&$GklcGmW-O;Z1Q?vC~0T(7!H)
zo8qB{v2ye*_a0Gfq``>SPAk}%V}0eMk}C3NFph?N6vVt2A&K0|R^Z$4WHVETGKSIj
z7O*(;V%7nx{mp%rU@|{gA`zv8@t$A*yTZzj(~TEyu%uhUgp@nu2^B?DidKzXEoMUM
zK5vaiQ%ex-G%sap{(o)@+&vt#M8+H#|329R;G_~$RmCWW9!c|`gZ9mk5y~>X4WR&B
zMPDUOMM`5q%MqIw2@_<Av?y(x5I{=tfM2SlBz`_e*p>19Bu9Ir&F9?+_)lbcb62+*
z8lLu-F#r35q=+(4OkZ3N^P&$foUatYn*w5dyf3=QN=1PllPU|aC<^yK@kt1oPrezF
z=>JSwnWX8=E}Mfz-uU7UUO~)%njj+4+D3j=>vtJ3Gl#3^IPR>R;K!hfvSHqpHquAy
z3EQPeGmv_<xrB+47f+wpzd1kinKbT*-l<fxmWv**n6~<HVa4p{JI1>@$to+4W95RT
z!0)=V<&_)<=C@5Z?`i)^&Rk&0bN4oZ%d^rCFG{gt#_L}zDB4H<_u7<m;<Yi%v~}5h
zaa)IC=Cxn8i4BnPUR77!M2&&LS?d&g2QwPU-?rW7_LID(Q8f@Ayyhu8TZeO!n2^l1
zqbfBIlc}oS=Zt#{L9eXO8G;${QC^Rw^|5iXL1<azsEr}~Qc>F4oW_8c2CeM)C8x;e
z*<AOQOAWx`i}t#ivQ_d;S<seTo<HQ{W>L=;B?H)1-1Gk8wH30wdr-$)aE9D_`Z!DT
zHGQ~Uuz^*pewnm#`Zjf5V~%7me<%7=NFPWAMllzgWzz5EtxVY+3uIMXv;gO2JxG81
z?%F1XWwP_}w<xx(f21h8YoxZY9wa_bJtOpQi457CS^8mSnOt2&CHw1ixbZMOEtIxQ
za%yRXn42)5LzjWg0cAR5cLX%e<Svs{Z6kZ!6B$us{hPTHPiSz#_0{FK8&}AaS=D(>
zV@w!*e8-&x8yawl370=qUL^}^a|zeOEVw_<Fz<0U75ske>@SdFz!#poRHjze;iI9H
zzpJOHAjJGE{X5BkiQPZr8%x>nTfhDGbRjD2nh`4Wjbg-G35ruLaU7^vdhMG0QC;ZT
zwa7lPn+b(Wjq(*ExbUjwf6iOq>VVD7>`H$ZW^|d=Z{oelgCmsJgtCYZywaXGkoRN3
zl`T6Ilz;PK0mrsf<4|p|rRh6l<gP>Cyg#9>bOHS5*4=C|qy;hA@AEU}S#fLidd<ir
zL3}jUzKO>}3tr#Wv!<S6M;E4|tU(50Y+(MT`e;ZKYJJ<kJrm)?B#p3G?<*qM$NC__
zIZP8|Wv+FVeCI-y(eJnR*^8l>wPEl{IZcpnjOp$D%!8%lj;H7<5(vGSWc6nXI6GLV
z(C7KkX(T35T}29S9V;r{dXoZCPImkDsS4nU)PLdbTV?RUQ-|F?VH9AN%{uVOPY}6!
z_nptVC5O%z&l9bI6sWX3Ud&xDgq|-&JMQo*;9goq;`0~^XfPDbrEL<yITxk_7roZ_
z=vF27vWx<;ogc#*21N0}vv;xqO-guEcTxHeyCw*p?btk-D~?N3o)@n;s9=+qXfsos
zCOrA7>-#-I62+vwYR~tp;>Q#Hx&O4apyp$G)4FhJOq?$wE92Gi@G0q(JsjHbYvpLX
z_6=E7_8t*WG^OBAt%!jUX&pFbU9G2bR35X|tw6?%Cg#1Fa7hi&g@C_l-8nZDuv+|)
zWP7PLejPJC{_iXmCj3;B?Y=0YP+Lfs!69ADxU<DZI*<munpGp&GRhdKUlI2rhKeE0
z1=D%w=|F}_)yny+pbKwj*NQa_r*AhXU0?I}`Fk%lH@{Iu=W`M+s-rYi+&5WXsb&DY
zYKsAZ?CR)z|E<sElXR>Yrn*X(8bVsY3(0DG4J<ghXT-FXj=b4NYNPiULocsOhgSpz
z?YGD}!V(>GW7&$g$(w?X(nI&u3{4dK?-hT^C>>26T$b24YX;8hx0F~C*0^<8FWM`c
zj$c2kD(1FYK=pq;(m@W|D9~Bv`-hE=ot;f8=L!fYv~hi=@?9I1Bg(IY=+f{c!_>&{
z5&+wMJ0~*eI%v({3Y=n8EKlt));(hh-Yt3UD%Lt^S}VM{@S-+u`>*ROKg9~Z{xN)8
z#Ix3)oyV?wg@S)I1>Uy3vV!gp?+RMew6SZCp^4uCHI)3P*mPdS8eGOLcPX}M;diE=
z-K2mr8bk&d?Dw~ZZ<8VpQ=c^Ps<++kt=00_B|hQ$I>{QOueufu<WSJ#$)|%sR4KHZ
zA2S$Eum(ksAI^KsHSl=F&95%jB4}~{U{K8=YxtWqFZ=Sj8k(M;)l#qHL%B1)XA~&b
z;K&?W@km@12VeU|Qg*OnK4WKuX{Qz3$z-t0I--on2NUCyPb`r)cE75#47P&s0y|)P
ztB9<}tITQ5V`PvM=jcCnD`5UoG`f4u%TDnxpWQ)eCeM2wZHUjX1aQB>uiGPwE%d?6
ze1lI!7Va6ek+y_}$0p|YUrHhC0DIl+@DR}`BAVHj51_An!7h;$M}y#@FIU_riONHr
zhvg{%1JdR99?ghg`u$6aMfHCO4WU5~J|6;><qp;t?Gr-R=p!Evu+0(yRlnL>qSk}e
z($sCsC4SsnUG?Sj);Z#T00030{|uLhTaFDBhueGaA?^7#-nYG<(?CN;S$z#H4HZh!
zmL#MQDvE|ggJ=)*oG7KCDH$a)+oBzP{(*B{=Q`*5-S<x^sQycGt{HeUW*v~Z$&IGj
z;<YzkEfQ(UzB3KaO@X~YuuPzs9e+gZJCM}1NKi});!n(*0N38kWG^um?9VRSH0-)a
zeEieRSWhtliEjOGEngV0fx0Tgczc1+>e;?kF2ESB`1Nt}anhlLdx13V$vn}w<)(qx
zeIq!0cE6tl<0?56kw~}Y$#0@Pz#B!E3_-jgo|2ikK)xTdiO#J0MHs%|>iuYA2zJeU
z{6#5qWLjTx!`%mS#G?xXi{7~gkSnNT?<hG<Hgs(+eqZ~OIOwYR!)8?<JhUHGuKoT-
z#zdT15FD5#2wL@7D_4C;|2$8PPW?n$*lU)ku+I`MegX`<PxaueY}`|Y?04j&lJ@Mj
zs%gT*J$2V1bv+1qo#=U-=qDpWA6<KVWr~=u@K2{?>p}tb@$ourB^l=8K4z3p64Bp9
zL_~RXVViNQ!86}#lDXTH=>+d2A%_vkET?rK&$IZ&v%RszlSt$KmirTg&vHC5u&xa|
zU#>|jmDCXPmhU}GQznRA5!Vm8$7zF@9s5_yre-3ydc&W{k_m$2-Jh#TblUJz*de`a
ze-|N6byW~zn<OmsW#wr}G<fY=AMxjYACa<u?|S>~NupdYe!-fT2G8V%%DN5>5|^ZQ
zKDrk_Mff(yDVJtbA<j<ojt0|PVzBi_CGEyEao4+jU>k)B_22d7LgR*s_fcL_PD?Yy
zV8(Y&;}|WN-TeLW_G6<&=W1u)wvJh%QlZD3y+{*68&q?gG(Qov;Gyii$3F>m@@wbh
z8x8P&z1gRCYK&0R@{PFIJ4d+b`>3|_Yk<o)r$fw-z7T))n>i;qe-nX074ym4)xqMn
zo#I0FH=>1e)aQHfJfXIk%TMYG1^hmp;!Mr>K}dD#MyRYT5UF~vUxvL`gZ4A~?w38B
zAim<nd}HMjkze)EHkqOZy5?H9cg{``ht*o|8s)4IrV%zb+~QTiX0iQnyT&YWa`AY0
z(UUbI-zmvr;jId|qz_gejQL5ti|UiPBeG67-PUOEF;Ri*#(AGTzs(WtUt&k7ujydy
z7?*r=zB26ks8VVg`kOF!iwxMci2+`R2rHQKC<8}*VcBz;1)_KV9k%5mMzGaAV8eJ)
z38I4!=?gC|65?(?idE^%5G|uN;JKm*q}td(+VV1C(|EBW>I5r@hD*?@qZGlMBSU~$
zV~x0xC$r~H7CYSIjpqqtPy~_wX8Qb$zXbhh;g8D`oN%-uZ;#Gp1!#93d(NCg2kzFh
z=Wa*vz~~!GnR{vquw5ijx{99x8aZmN$`<fJyyJB1(@uF9{?Fjl!(v9LD_t-;tRVpV
zRhv96M#{snn_C}e1TaHr1e1U0h#>3>a(dvWEe~%Gc6HeAW`&t+lB*Z$g<<8*v(fP-
zIe0Q&oACDtJ0#D%S+aX73dbY@)Ofq)z$0vPf?^XVh(6Dxny-lixjo?styT`+#K@&b
z+VQ|(>iOm6gB#%P`0#>Kl^h%-e#Fh6<%2eDwxqB8(vVgwI<w=299SzjE^grw0P(k5
zceAg^fMjM-VEKw1bZk5Iv$<9f^jX3v%je`^M_c9#ItO|1F<dw~b4D2K@;+6aGExBU
zV3+x(7I}zlof4EgDGHG}p9JgJl%U=$Y}qkT0dy0XY61$y!7_^2Q@WrGTQ{&R%v&o$
z{#}o#-3yZ7u@Km?kzNgoEe=g}{-*?rQN@L|VH?5SxWYn6K^<y+JV>lohEz((UdkmI
z@S-hO?R3_J^1mBAZTG9fR=4ob=c}^t+UxV!q&*c%?&g|sdQw14Z$oxqv^)sET@|hf
zph0epypw6O1}Hr@*QIbN!riyhSANH8Lvog~la~z@o}WlnEi6_74;Sy;vN#>^+xX`b
z+gBRs_3gE2cTj=%(<auR_Ui)Onk8$`BOTx>VRbE?RfU9wIJ>WcdSD>*c;!y39$2=y
zg!r7LK&TF|@}%eimq^ESKcgYg$G)u8Vb=gJuO6ev^?I;x>C`V%Ut>5Z(6XiLfF{^^
z`E-A{s0XDLA2ZlSO=0=+i=4%aTF|QbN%;wr9wc2*D(rD1AjFW{xZacsw1(aHo(by0
zrE`V*?LPw?{&+GdHJJ(w2e|t9NNr#nAOF<MXbGAzHpU|Ns8DxG-Bq8D2JtNWHkr^{
zLD|b<qq>_^2%NV3Jffuu8P}cAqR$EhZn_E!xKqLX^01N98&#0WExWqsur*xl51jRX
zuLUASXR_3GD8fefv<;62tf5Zjvy4K4CL9jkTz{lZ20mmyxKhoq2{Jz=((RJe0M%Ki
z6H%YUpe1N?r_LX1xL_B1YQ>QP?(zIBU88(J`%Nm&v|9rQHB+hASrs-HufM$$&j|6K
z)Au-pSwm2>_R%#$87kCS*Vv~fiBU1tWpf5=*zxx8>V%LYs9!0b%Ap$~H+6|MZHu*n
zccQ+k319#HFRxeU#&Zi~U~baZwMk2Gt`@INK^bT;v}J01OplCdzI?uWEx|+N`4F$O
z6bRi8)$hz>!Rr$DGxVA);J_uJQ4?=*h<pDb;It+O?vv@BsMoN7%{2kpdBwueU9!L!
zS-^!c+VV4!xd3zrEknb#1z_dl*HVfR4?fG2)wm%7z|U>}E|H!GIAkm9m*jY{H1*k`
z9906u_cP}IRb_*)uJShRR9>up!kv3t#~f(C_^o!nV}PgU1&76N^5Vc;V)uld8E`Ya
z_TrIVBmU4o{<brO7cW=(S3Ejo3UeNhv<+i_5$u@-=>S(isK43&=D+OzK1<CpfmU6c
z?B1Af#J5?_iNa<c%shKB$aTmV&Yhf^jWp^foG9CAAAEVR-usT=-VMgEwMd~%IJSly
zRe2?CAk2f-!xw!W0*pXOcD%#t^E)!<pv&EkA#TiG&^ABaXb4<^bPl<{zL8Ul({6Ef
z-1u<uK=*!0LpU^NZGS&@mR#NUOXg@jHx5r4dO4pkfT#~$cdasilT1H6x+6buV`aI=
zbJlTvNLC5(VcoYxiW^#;I-tRWT^W6bVlMjdrJM7&anC9_z^L5fRLFzRpSfx|^yz_^
zI{nl%&pP=m<`dUf8(w_$V|ZuGc0G`YJH^k!PmixpMfB8i@!>>!-HVhyUC8(D+N6D+
z0e3occ5$Wf;mnq@)o>SGXm&H+{CSlTceF)YuFLUb_qFg!^Kl)p_xJO==+BG}trh{&
zef;>9X$05)<$-K@*E#b+7K~tRImwzOfIp>m7+#6%K#v*CKhKs83)e16c|;3hnq={-
z)dp?w&OU4>*vgLdAwT*)9uq>NxF_S)UfS^Ra>T<2j+}VFX6ERwRAF4Ho(pv5*9H!j
z@bsOtT&N%Yqxn23g5fjK5!+j7@Jl*pHn)HW4X?Od^5hXi$+;I}!l(cF#^(RH*bVtG
zVSV@8dr{&zRz9m?VNZi1fy7;r>ik$@%s-^ZEQzOlISb+>Xb|h7(D;BVfNk$*^zM{x
zz}G_O&u09hg0`=}to&v{JgRwOWBBonxE?5_cjz@0taOsDY9128y^W08-?U^fqv_X2
z_EsuXTSY{0mI&jKIa8qq9a$XS!8Vurj0)SR^gr5GL~t;8O|NUS9NMAuZsH{sjy_P)
z15YuuXEkMa_m{{2yt6MQe5XSDk)JFqBjUKFvo}vSQvsi7dJYW<(qM6S`Q+XZNes<A
zg=cydk#lwZ#M_-Ta7ha1XOWb`TM6faMue1c#6NmM<2DUs-EPS_zukz}mA`4sx~X7H
zhYC*=mo~)YhU{J0BZEvw;<%EERB>iKDb6WH8|c?V-QU^DBF~YnuzyAk&v12^$t&uB
zV(^6(JL`WI$!zvqN?je7<%+XdhIAn4lc5Dz%j4dc$IM`_2JR;+6p9LU;p}@lcj+w(
z$eO5kQp;Zxe_vTj7Pz1XY%#j8%4`+U_iiYo-)=2jzHs}@iA(yxDwwG&XrqJ|93(dF
z=b)mc5r39asR4`yKV%#*Q^t_i46Z2$DzZ4p%JIK5gw0*E?URZsI7Q7k>v4pNBGckB
ztCGgB=Vjlu$rTlJeD6MNA529FPmgIEe-kJwVenF{RmJI`OQ8l9R8)AyE+<iM3Q9s|
zU&nW;;mMLIap3_itQl)-JHcWO7R+{WBQMqPw9GKm%a@wiYxF{8XbS<G9=exU%1}_)
zvif*$xCUNo)R$B;2GEhM`><^j1&ddr1dsJl(5W+;tD*@&*NZth%7lVv)(REpf2iVQ
zq02&#z6G?NzROZWPr;9$9ow3Flu@QmN$pIA1sthScz5oa8rt}F*JP$E;;ZV$fZh=c
zsN>@f6J=0C_4ejPIXiiDId{dUiN_M29@Okyu~0=b3D1fCbs3EDzb+Z4WC_oL^RxN>
z-FtA`b)!wGQYbYulCP?42^JJZZ53x_oYVUK$Y!57#@dOkl?zxxQB9FSiK!Cmg=jzh
z9xjYwO-7mN6Be+kwPe<eM-gj3zWF}=n;%0~D<W@KS-|5+N_6;uJRW*|psD2%H!f&6
zD?C490ZP<bIFl}i60YotK7MR?)aFX{3poqOd6iEU+bfH2B)D!k{9weTm_{+HE&!(8
zaqXfTWzgyr)7v$DI%KeXd_FuBpsvw<%6V7{<wi6U84^}V_miRXwn6}%Y`izTu1R7+
zi*we;AM>Q+(;l9i{sd5ks^brbiesz$EoXtaIkGp;uOjlUIT-J3>d-$dihMT|roM^H
zlJ9zTp0a*31I6t<9Lj0JIOuFL)UsiUG>Prnc~`{@<g3o-Tzw;m0TvCy0|^tP*0_|n
zW3VY`cP&5sZX<vr`ONQ_WGBepD0{ZbY7=<FKl<wB2p`^zvD$5i6C^8VXR|(o3H+!Z
z`qZe)i`3a3mMq#7`5@)blZ{Tsu)(M2!uj7^7#5~xe#c>kydAjEm{Mc}8Fm%UPnS6`
zK5%wiePxzxJN|ZWDuWRS4;@c>3hc<D`{=b;(j3Y3qAfw%(-5vdY<l0&!iuf)(qqry
zH+ilk+0wY#0947I*6u_W^q^{YOv^2h4gcLL>7f|F)xNcBMp4Z8YM((+rt%V5`1n`l
zK&C#F&<@PG++zC2=`rSF`xP>~HlJq1rVpod2i#vTGvdR_nh#Z}Yh-O|hw85wJy^xR
zJQ=Z!n0$j}v~ub%>9ozPb!A=`TFJ890X0S>uS_KQ*U%wseZaN#s4f((*HtR7GoXp>
z?JYSh445t~;{WZp4qR+@7dWxRfZA)<j2QzMk+JxJX<w8Mq&b}%RT5^zO$&kM@gJB_
z*RwcGlvxLkZ&e6wbz;Ps3)Pd3K`i*DM@+fxiZ+BFG!yr!WW?y25+)`AHf)|Sc3o4_
z2AjSTOJ^M>oczS{W`93B&O1?;`WtD`pZZwxzkVi6;bb&EQpt&W<460CyU>8C_WqCH
zE6lhu^uytJH8&E+`dB6ZP(e<qO?B!h3!aEN)-?W}7d0wlBi0J2z)3K~$Az=vNiuhL
ztq4D+rZ!~z@1TP9!^i%D*V*vF%3zh>ZULm%@k@EcKn2&W7cYJOz>YrUVgoVv1To9M
zv-kNiEtqTFa4XoJ6G!|i+ZUyT(I-cO_4&Led{kMs_8;cLn$2^9!=)mq#%<bJd`c5U
zWF>#LWb$B<<Xno{J~6E2X0#uc)r2F_^}M^x`H*kn8AH2*1g3UeUt;UifLAL$GL$X+
zNYqbwoe<oBZanfdi3|-e>X7%j<|lxh7Z_rC6*uC@7NrHdBO1{3uuQ!tPZ00!FycO@
zDT5P=54=^qHGqweS&Z(t5K7vbNj!0t#oQ0OjdDUXAUTNH)WS;yQ%3FtJh~}|#dUjA
ze&%REo?J;u(xfQX{cwG{JS&epx~i_7(;85o6_<79ia2f#%6t^CTM?CazID|5=l6d;
zpF4efuOtq|d7m+Rp@fbF{E<m4TJVu4rTDp_6vnNOgf-Zz;L06!N$1yEaAs=cf|0&7
z;@$h_S^HH{FwuFN_8}^i9_e)??#kev{;uhj{S@5Rac+kaHw{J?YTu-ivbg6=NZ9xf
zbqx1E7Ja{+2J+QBW7?nO@XgpWuB3mQ%C4}|Oe^~5Cs7h_3%L}KFQuElrB@4m3M_({
zigZA|@A;w2CW^T7g0XHXg^H!o*UH>p=)!P6r)SGSB@B&P37Zk8p)uKavW-(8Bt9j~
z%B3r#z+z7Fy|XktyzQC#e2@YBG@O1{TBU*`z7b60y)+y$k2dM~ZU{<hEX)~CRWXmv
zGwb0r4c~#k_4Y_(I2Cz>H?~#{JFDz?W`}5a?TBu?mxw7`>0@@gf1ZNR>_THzQ)uW`
zyZwknjTzi0<zvnosAJej?g>#A8m1MAoaAyKAeqbR;h#!%wC8(&*k}tCPf*-lV*CJB
z&ggq{t*WDdn5~!H9Zht85i#B;Y5}y@AC)cHG_ZV2<zF68bv(UgU|_1;0)}t*4a&b!
z$D6k2f2Q`T;(1=j4eB&YaC>?cLW9*&hu8CO4v#V(s-E4x^|B>=U0$&zS}7RpYFlDL
zQ^3&dR)La!OHk0J-_bp;hGP;#gPxAEm|z*MY(M{xN8GdBb|b1-c*i%8A|Qn}%M%ih
zmn?ymB9&xctb!Bb{Fa%$qG;s8`n_e;5-x2^@7uLY8SmdZ>-CaO5T#2q<haT$p?)y*
zfX#PBjB|ez73{~2v7RJ%VX!3(S5kGq1}h-#yRWD34`wvK&iAN6!V)55;?H?a$>H4I
z|0Eqn*U8OMXATgLEr2hPx+Ho?7T@c5^ztSDCR;Mzr`GSbfY0~$T)sCcjZ-E|;?*4A
z$;2%B<I3Xzw`}$MGDV~?yq(YTfa@#r_p7V>7NP<CGk@&m@RGpMx=gX+hiPPpRj~jY
zH^A4*ca@6+qR7U_Hg`{}gLqE-6-_iFfMw*oy!TOIyu7%f=y}d-LMEYQi-nIlsKrjk
z=MjR){bzgO#m-^k#)s8&nHSCAENMG%-IyP@yhuw3J3LAp83-@jg{I)8E+wJT#)JPN
zWj90PDB<I}W6#$G6YvVriyjH*M8P*2nS$b@L`gvDp<_BGP#_X`2&350C3JsIcEm8z
z7!<)qf6N#L?}T%1>SM+xwf}r0%ij>z>4uI68jXOGyGe7?aYme;v$*n_@`|_~P}ds5
zWdw5TPEFuLk4D>gla-Zvh%-Ge8z%P~LQB$mvbyp*xw5r?t3ZAW@xhRXDXY!^c+_im
zxvsC0UM(eqGbYu<U$2Nva}fj3R+F(a*t|^2<lOq3q7p*dWmaY0iqHp-?;o85elC!Q
z(j_)pde@Sw>b#zpKj=ZwXshF<#oy#1n=*ywmgnTa-0N>6c6v}3bT{bjwqInv^Hs;P
z;U4m*!pJ?h23?>it%lOg{v?-IE>$1586?LX){lMH(1n8YoDW?4XUQ=CdTGWx?@00F
z?4PcMI<RQqQvdYx47o)q=lWFaDCy^xVSPhJ2Xcy8c3!?PO$vm*WgJ!+Blo?}tVqt)
zhDuH8FVb04B!B3PO!Ckd((GEdHLsjDY-oxt>i;`QKCb#3>~Z-!sj_k6j9?KB!i%*7
zL#rpr#Mf#SuC5cL@T;dTr)V^Y&UBV%ubU)&D=$Vanog7KS)7Ag8>tX7>en$uKSi2~
z>nNt&oF#AE88GnJMg@*1`8%vGPLb{_Z$#L%=Eye$-^BiBT5#baMY6$dn%v`iPorz_
z7x_xO`IhIbCKN<oNGl7RA*(Hgn15cIC!Jp<@mI-fLa97cu%+uPIex8h%k#)ZQcdZR
zn!Ve<oUhA1X)X7Yob>;mIu^T3+V{7y%HC9mB^9;ZN7?4c*e9QwC?%^TV{&|p{ul*}
zWLGZt^8O;D<F>ZGX8cPA@)%r8*P_7EF&?olqu(U^DV0pHp~E)Dt<pOZ)SyD2E#Ca>
zJozbb`JG59J)UpiWK4Xg3N+O%!vTL5$chF3+WQ)esJ3VSxQmG@@SaLern|93no}f`
zlKyetH}UEa|1A}`q2}~g-fxBU+OMx1n8$+0!>d^4cvZlyBO^Y*YmHo#@cVr98XF$*
z3)t>{S{V{Jxv!6;{UvoW_dMr94tzv!YtzS|42<mt>nyQ!C>8tc`?4fAE;acme?O}P
zfpcu`3_bM7lg()IUpX)G`*U1#7gK@<%`dK&S~H@{(cQoLE%`Acz`9VnLJ`)PSTY4h
zm{3G3v-rPm0TfW&K4!C55jtF{sTXot@QIgirQ=B<{K7j*ug9(k<M}$mjVWvx?P;Gq
z?efnDTy3Y5UMN7Zf>G`1Vh&sZPv2u+VyI{Qr$9eT0oVtEpKz{lp^oAgI{j-B_%=7L
zE;m*I_O=DNKTP07j#u)X-gHvve)#>Rv||czUF}OSodQ2bwcVOoyD5!+y^3odXBFU_
z&g8_-y8=j;qr0WuNEU0iU(8*pQ2_D7T`oBeLYSGH0_U3K@C<VUWu8S5?ihDf%ZiKO
z$Z_IpnXdwJDjJpK$11{uj-bY`oMOm2mv>}QMF~eX)!K^6DuH(v#rKx71V(KQp_gY>
zL7!_^-|8<Zfy75%@x<T_SY#mlF#oSAvfeyXoX4R82h3#Umxni^>w^OkR8Do2{PZj*
z-9r_2mkbV3AIsno`vA89B~6s}&n<0Wpg>_FcZiFW9ClyY;(AA(iWd*B(N!(0!#)?=
zxU@_1IJmL@<Tok}w;kQMkm8^PrpYOTtpbWz#gRjr>u6)&pjJW%0}aZ)H2%4ktAxjn
z$Lp%e>flCW@0;J!w4tdnIE;^`g2L3R&%<VPaIxukzwK^aVAAkwO(a$EUYgE{b7{KR
zQS^QXznwnV+wc{oSWvLGCiRZ!iY^|v)|T6I&=9b|S5oSpI%<g~JrdZUhcfw#<0kiv
zp`rYp`pBFHx_ZY1vQO&bv)u_p<@9FYS8gOrvT31n50ih5r!Jn^)Z1UZkARV_0`%>p
zTKF`@@N!zD4odKMp!7=s@shrXs|HlGVc!$Wr>~8g4~i_O-dX_O>vxgaO~o>Y#vkT+
zRNOW8r149uC0snz_VC>%Dr!0n@x8gAfn0+-7;Da3!F9XSJvZ2>s3hYw_UMEv{$=uI
zDwMVc`~6EUL#A3-74Lu2%|a2a&fVE+A8!pcEjP5rg*1_Q&z`3l46^uzc%|KO-x{i)
z7MX?@s3Y!cKgaW49L+h1!Guz4FqRmjH=9>O%l1=7g<Azsxbg|j@q{%*4uxyyim9SU
zNi$`Ymlb!^O)VEvts$^W5`#A=qh0m=Yo<m2`i|OVvDj8CP}=zG@#MeWT4b>+XFj}@
zlx#8JxN2_&prxA0^+yiXuIP1^I*b!nYmd9WeD;s~=`ZoePZ=D&Wai#CvP_)1`_6bw
z&l0-#m~Y!KC53rcucR4v(F0${u^Fp77Emye(9kO{ft*H6r)#{K!9;6hi@KNv7=@tp
z+cXgjN&j4sHqHtXi@)A?qyi}al2N;2CWz&Edw$%^U<bX)+LcH)fbVPFQO;_7sI6g?
zSe(fLZ1?IY1N;O$3}q`)ui!v!HhH__qMXnLy2aHS%>h}fXHwIc@hE!8oHpWw>g_B;
zkp^bq*f7UDHAROZVVAj_Bsqao*yQvr7gOjIl#S1hUnYb67un|qIKb#>r+8el37mbR
zrJ6@KN7k%R6)Gb+pr=CFZSyl@pi-y8e_j4c8V5<n4vTRB^{(V?U1no2h`$w+Fa3%<
zykn1(Ya=_P=qE~F*lq+EmXcu`dz`3U{A}fRlpO+(3a6Lk8$$Mf8#|41`-vL6A6MR)
zvjg9>$gaf|1DI(pD*buv6QOvimP1U59ZHwqwJiQ;02$vNcyil}6Q%Tv-hb8E!9M8x
zHR~pQ*m?5K@@n}kq0#Rx9<_%Ze4OR=k~Q=}NQo!4<@Yb5d-g=)<J;_TFF$V~DOV2`
z)l2wlRu%|>$-{e&iE}{ctZFd3s2<2&N&dstyG&>}loKp99PlJ-?#=WSUHE#)aFHo-
zjo>3if^(udfx-oAvLd?Rx~p04+s1X`(a*L`UV&V2Ka0*J>!uF4nWqi#4bp*UHT#X&
zByLzzxT)!)rUQ^sz4SnW0a%#8PX8qj%-F{zhdtJYnuzq8UQb3ysh>TuCd&r~%3r-1
zc4<R0-x-#&2TWk=F!J@`Z$41IxT{~|Ck-m@`1KHMEO3oQ&`)NRAO41|Pib7GLEqHh
zrtODWLDbUboWmCZU{VSfwl$-Hs9QR7+;=u;Y+(E9#4H4SnnT%xlT_GxI4j-mILE*J
zL~DI4ghB7pL<9Wmtw-Z)ze!4SLBcj+)ut>Fcv`abmc^3_{aKy)R%6`o>Vb?vg@71T
z?PXIyB`Ppc;4fV(FYvQ4U5+Uc2lbxMIi}-UP$m>*gkSkUQB!f<(OVL1oKkmwysia3
zRSlezYy2>KX@i%AxfBSopWd|1T?-<D<wW9@1z|6pRe_MHG(6{DxL0DN1^)v80RR6K
zS9d&?-y60!*?aHT`@Y^`&*wI?LZ~l^B(o$b6s2V)6*5Cogodn=)$=G7WfrosNkWl5
ze}4a-&-FRy+~-{PeO;I1^?@7XzWm@>z)+i0A`SC7ME8@bBuF!h`*aKyfXm}1bR8Ws
z;PdTG*Fl5?w@sEG^OJ<YCeZJ-K7$-ExEjucogsni5y{BuDq#@vUB|Oo$OD{dpf`O-
zf)nLQA?J^X!hxU6)aLsN5H^+=S0O=$#oUIr--6;WDP$I8zo7_PGT)y1oFPN;XL^sF
zSqZrKaLFR&gfd8X8=9N+lA-if|LUs&DQJ&i+Pd@=2lut>zuO<70RN@J<ifwwP<38^
zyWR*7<@*0MU0S8U$+3Lh*lii`^X*zGe@XzK2JP{%GAf9S-{y(ul>;4(_th4Rs$i^K
zg^$0f2G3$;D}{;j;9p-w-q=rq<mobs+f{Xd+g;nEmI_dtcO_(5jSLp&+rr+aYQVnB
zedBFjiV%6Vsxsv{8M>QhZo4&Uf>*s7Kg~rY$f+xpNMfcyb=e`_1OaVW{dnE2@2WD8
zZykG<Z%BdG-$J)oF6w}B6-TvXC=Q-1M=EStQ(${q!+CgC7hV-a4=6aOfU~Z|R*eb;
zf{0f)Py6e`#A7BC2`)TH<4s6$-^sv)&r7>EX#kubvpRep<Dt|4L?Q1%GWgF~(Fpv9
z!1uGqPtb4>pkbBf$2^$?4whDNnJxey0&0yHj0tc(_?g4BClQ)iw?`^g0W5CaI9O^*
zfOgI8>Zhi7IFToKRP>q=xIK<q4%tTlS;Fua^`Conl;3guw_pT+&rr5c@109m{E+y<
zT@kLk>JFsuHwKe(TyX;(9?orh#WrDbkb#LhVpokpUjD)JFp3HUCjWO}pPURl*`*VX
z&oKrXS7QxT4IGTwmFUG%B>-vyy#C8IhA}40`whP`Jhm%n)b$gFZxdHZNpZ$drJcI*
z?7JdteN@lbq~V8Pr6jHYjv7Oee%h_sXa#6~_42SO7dH^4YVYDDjp3(6m<}k(!<9zm
z0Vy?Bc>ah73ObEI_iwQC$~#%OloR8YYDEusYU&3l;YL7M&2P#-CIe%txsM*c*+RBj
zhbn%F8i7us6zevfGz<$zgoTwaA^#FnGDBYj@F>q+4m=?NbgSE8vE{Rfv&lv>n;n3U
zmIop=EDDE{LT1Z0#t_DXLi!(C5D1Q|djB|57<R4=y|JzMj-;fPe|WTM2-CMca|g`?
zf%$J@<woTfq>AU#v221Ni0S{4#cA<Fo43X_tm!S{5%#{D?YIGuqI+o`Ir4(C{~R&P
zvK;wyALHoE)Cc!i9|NZ>Zpb+8P!g~H5}{b#zklJo9<ZAF>n@6NLB^^;XnA!da>~7G
z%~Dhk6tDDiI2>e$lPf3qf>uzZ<Ax81ho>%(c-wDq_pkur!@T>irBBH0(mmU%mpV|@
z${5+7&jeyOM|&LxI}j@=R#_c79oUu@Sfr_D0QDmexvKqpkY!|wuF*vs7I!&&o^#Se
z^MNmd-l2oYH)U}h%4;q7Gk4_>%L7_KE=FFg4H`w{1SJcdg|r}NJif%;n+8|{uB82F
zo<Q6JLp1p=Yl7L5zKY-59mL(t|0_2#jTjL+t@M9tKs;Yi{|l~dq@%9iiQ4iTp_so-
zC_khD0j9JH-zzqe$Za?4zi0j+(!Q$}&Q0o|uOSoj^T`JCirgFVBy|D#E&M!@4^ap4
zzG5gCT}QOVk3P-1`VZ;QB<QwPtHBrb1H^3ibtE5QDHe-ZMwq+{zlUh60VfwyB`&g#
zkfYq+3B;`;ewGF0n>AEOAx)}ibFL%%<MjpEpRFU7qMO}LMpT%IXg90XT1SitHVvCU
zH<9(|uY~X~6!?xgHYug8BNLMhl`bYbh>u4=t)B}8jvVrR_(E|5;S<)t(;TOPxdMk}
zncrj(FH)72pWZ;Sn7{F5RMNsKo1gmgt7M@5yOmGhzll8j!rx*pMGuebBAxg|$sp&n
zSbuD53!%3+ROiWOfDV<jf4&BiU~7eI|Crql;x`u<NH%8zUDXE*cgs}afZT2MPu;sn
zuz?pFKPwC9og9$O+aki22l4UjCmL{w8~675%L>s+GhuG_L^!pmQm2K{LgS`yKLZU1
z;B3RnsV@jXhsMNcbkjj(r6~yLbHU((oJBDo0V1#OY}{vIfTOyFVi%pb;TP}JhF=sO
zf`_*9JdQGg0qaCVW&sa$n6c{`(%?av&Nr>$D-*OeFLr$6;{##s`V-P|Dqus>VAc&}
zff=debp?6+Ac@6oYfJ2{|2oheMPY-Y$rzsp2L++jRDI<)hJ!}YuWjj49B|)&|A&L3
zFenz^+ZZ{IgGeoosT@5n_`B{OV<#&Lj(pSKIrVU`xm;}>X37mqFTVuRTZn_g`j6HI
z0UU(<3PG<%^S}jOcB%YKNqAS2mr%xx1Hn3KP{|lC$W`F?MI}hX;v|C?JwFb{+f2W{
zb>oLs*YMq%aT#!HiR(LJxVKLQ%Qe?E0VsLl+*R%%2d^f_PLIXoAp4}-IDMrMu>E2G
zEZip#q4&m`4({NfOf2Z~LXrpsFJ^A{hbThJd8Veh92F2bHPo<_ECviSj)C)v%3zu_
z#d75g9)z7T_ghv;z-q}v5&JJ31Wt3t>Ru#3x=}--$Bq=Ne&<I|RN)~e&vYcMfe8M>
zOvwk;WI%Vd+5X@yBG5f=rD3rn!IyN8V=1As;I*|K$Z?be%%_Z8TknzK@{-4P<wrT7
zx@9qG-X%k?<{+X`M1kaM+;kVD6~LhPq=Kg>1qPdP_lHeUA(QxKG3tuqUVZ+r!lkHS
znYkswZKn<i8{Y_)LrM_KZDoACo(hlRdm7)3Xu$YHk^an{E=+$&^)aEU!6Ki5s91&;
zoT;<tvX4}Ow<Vl%#Pe$K>+KzEH&6!-brSE{mEa+uGhV6dq8hYUMsNfi)q~Puq+_d=
z0AcFB=}CHOkWo>uALwKNs+le7N;yQhMS1u-sFDf_eW!ljut1=nBlz6bepOJlP-(=C
zQ$Woo=?f(VV4aru;6sHf#K!&(@A*uIG3`0y^s`2g9%qCV_o>2A?6FhsQ+vL`Jnv12
zx-p1ZWm8;VsRGKYe#D~#50mQ#A*?;daIN2H`JS07?9s>HB3K!U)1yD1J7@yW$_7}i
z6Nu2SFtT)NULO7(N<T-)Hvxn79Quqq1keur-jv`g19>bwM7cH-cw|fXVBxgaA2Kac
zwwq$0bWS7WPNxZM%DjKA`x6JluUtag(gfg#Q|sf<auX=3zTBMTpbQLyGuuJQ`yliA
zyrf8|2|Tdmq?^f81oLBkO4ElKLBf_v)<o6>!VSxAXOGB3SKP@l9ocmxu)e74ZJjYR
z#KHrdh#Y)#*OvOVGl6s@&ZLZ68AHg~bhUOT8AxP}Z$8WQ8m*063AWqQSs+fdWNJ!5
zKu6c?Z1^Pl_>aWCPmV@#LzblYU{VY`qyI)1jV++N5y?$z-2lb)a-j>TFf32~Y_gYK
zMNOu}U0(kO!2Xc#6l043d^ATR&a`fz>xq75H>(l2+#ssh&dCS9zQq^V$lIu37e{Z}
zXG6Hgv~flymK%nGU2^O1?4V&IJ30@>4FI)_mcJCl0axQvT{0DR(aJBhRy>Rbuz1#q
z=@r5P%fz6R-%7jaJ+w4uLscJ)YZpJ|gfW2pJOkfDYzKWFN-CE<t_MAo50hTJwD3}~
zBWsO!2R&41orKTQg>w5ru{ho>#9?c&<&54o+MDtCRQ{mOo_|R2Z7N<tOe*z)itM-0
zLjfgif(knDcIa-t%fJFMLTtZt*lQD=?&oFLcU~KeiT1DQ$-fa}d6smcs14MlC+&}P
zvlcAu&*Lc18%N4|JKfc5)=}yE!dGVGv><SQ<c88vAEM9spRqO9I@%oKeU(2-6Zi||
zd=~zFL9peanz86LwAk0+qQfr@m_7!{Oj6Gf^kMeOr2HDHarFG(<Bl4@K)^koJ@5uS
zIOLbeIlqbqE%%&beWwob`>iiLBDJE*WAv!z_$vBsMKVE1LmjfvM`>mUd(bMwA5PC0
z*HBSShx+5s)xeSZ0#dzxp#JBYz8pQghMpO0&3~_?1`>)R*NWCh(e~_9C;5BU(4L)C
z1Ia=vnD#I};NhA?U)H7`y&t`f<}3)?{-;8Pu;5!7cea0`1v0wFyS+Eief^hroy#ad
zs5wwV+dYG37F>*&2-`%9JcM$1^eIr4_s-Dq;T(G5*y&NV`Ym*HPBHx4UcYua9Kl;_
z{6(kiH`VTF?fv5e&#m)E$uL46C@7M<fX>dX4XOOvMRzn>Q)DJcP-DBv6vg`wEp*?-
zyUoyGyqtmh34$ar_tO-yNm)X7TIhV<?9gH=sSr-JR|Tz>m`GmS3YtMG`xdK4j~yQ5
zB`GKE^>b5>&B^Xn)RJXMYBin#i#9xnyVFO2gz~LR(>d$t<x}QkSDBeGUUW$^1xJ8V
zT>&Yz*iCfy$^)&%XUv#`^jo2bYj_CJ$gSI#wvE2IWHxy^f)zVPEpg5mRRQi%mR~{b
zyQqqFT6f?@c5JtDcEZ_eZ$2`9J8vXTi!pxhf7o2iiNy@xeP&jNgOlD<#jdC5FkU+r
z=ff=A*n)BMB^GTQSl_Lz`1ze4TRX{4v~%IX9K@2x&%RZLcjwf67rhv<(2RRL`k#5R
zCu%q8uG%XDUDvYo8v$m_e*f3q5;uNqxHm4@=Z_L7o^L68GRJ~lPR!tO78JyaZh1;(
zWGjJ3xNd;kUp7p&%D!%6MF=CZgx>9NQ3B(P+0v&noY=TFS=F6R6e}$e;+DZF!3hQ?
z#hB=Q7}GM@MoUi|BXgvZwmFo*$ZXVvo|^}IaW3rwTfQXbcsGsRl0^xmf9wtvh40;u
zToZCFR~oZwtY!3*R01<M{L6O?{Me^;`{*GiS<L*Ip_;X$5@7SX%+{p>Sl{NY;Hz<R
znA4p^&B$j;Fmou;oac%Vc9h$2PF-FBqi@lUB@>i^gc%rQ2a90OB$-^ddKIxmD>ZBF
z0cFtt_otRVK@4k=H&XqSuZ$gfA>G1;;vh-beI5NGfo<W(B9x+3Fzc##tAZgFxFz4!
z`C3>S)1`2^t(_%cnt7e+$BYP2EE~)5-c1He*xyIl^-;yjcT*}J&J)4;c$H>Mg)DZo
z{Hxg~0vUVa)FOU*jsy({RYo&}<T2~(Hq}{@6l}U{CVyOp0&WYkq7g9)m`7q|#{pU@
z2ISkr^Wjv8bI{52-BiRP>N#H4eW7CVZ@q1z=+xn}mg#wNkTUk%W{D;CoErA(<CQB1
zt27|p;8_&$2M&8gKX55@P7U)rFvlF2ss*ph*!EfI;IVAAmQj+bI@Z$i^h{5x4luU&
z9VUhou*DcAbrrli7SfC<ij?TV-J6jCWhq2Vuuj-(Xh034O=~^v(qRA`S>WJ(Srr=&
zzU|AUr-t1RxIWeN8v&s~ekE7j-fQERP3QMhG5U1hqOKKycW+-Zv)m<N-yVKppJ$?A
z+2WqZd`68RI^c4aav=$8G`4@-PEW!RmNR^n&yAsA0c>JUlQ2u#woK8xc#PHS!^6-$
zo#jiRwTKv1#T4D&>8N)pVX0J}m8Q=oP})<fB+jIYIVlc@Zf(e6R)0M=?hBfN8bSNt
z_9y`pnCa_!p(2g_S&SX1*DwY1y7S9<k$9~2tAB$FhY0q#$K*l+-W0g2r)D1h#9{9H
z_;w#V@M4Y|Yf6^eCh+@IkIWmKG8PmaT)maUf+ctSH2<&61Oj<kE)5)1#CFxnbk|(B
z&||In@4{?NV2f+T!Y@D`3$=TZa64uaJ)CzSOL4#$#urZiyBQ^m%^vX8exlimh;{Ff
zaBjx%^-QgJ&tqvUOGm?ROMf2W;YiQ4>obBg)uo`5FM(}zOSF7kUPaD0%GMs=)89ul
zw=)`5M6o4ipZ!KRcaTwvEIpwO;0QBA!t%HvW_RR3Q+^gL<oA#)bFBfKg`^V$y7@4?
zTx2p0ksfG&Uw2;2M8NL36Ge@V2b0p8<LZ=QfHa>Eh5ZGFP&9F%=tK_(wz%G{<?w(3
z9^X~zORY74>@1}_#!@VpsjAmNdIJN<NcL-J59mYx-!l1$etK*|px&sWfB^`s$tjl^
z^r53H@|O)g4aR*|^_Q>*0~{+6zBsR`2ih5G?iXa&Q3J#JLyB|^(0?cJ>c&}J_<a6P
zu-*D1I%MCLR-Q=@RpU>z*<R^@^gr9Eu%#Jvnv`#rO`(VJlRCliyV~%E&qdu#c@!;i
zEWL5yD;-=BS?^l3*9NWSH2;L&4z%|D5f|!pI@n$z5}S*(fF``De{}sG>T|Z%SlXNp
zv?d)AA2DfxWRj|$*x6>pcj=nqOBp)IWmqN3oz#T;%gE7Et3IT+ZGTOa&>r5h^2GL6
z4e)u(z}j_q4DoukS$Pjf2bY47h`*o#f~D3&<oKUR?|DsIdlxzoq5pp9Q^lT7uCJsl
zAD%_t;!oZfD5QhiGOtzt!>dEG+%T`N|6jz?b?CaHAUzZ`-%N-sRD(>hT#nwjMP$~>
zE_`1BJ=Con2$WY=1HDLkhTY^P<O_H3=!HWJklfk&M(YI?7OT|~k0h=j>edO=qsol1
zZn-mAqDckEw`P{Dacc-;ywXswBojQTOInU?q=45YcJ@~{HjwTCWjWAghPCzDoTkGR
z*uEM;Ll?J&d^$*Uki5hKmbV|(M$VC8`tM!V1KB%B$Y9E-(G)901T!-<#F3#$nlUBx
z1PvS|g{5KP>|pdzbmgTo83Hcl^fJcMf_dxi#D*RxNNHCn&EF@%a1kkHpq36!dN{`B
z5cYiR*z@M>c~!8<b{$`5U;sXwm86bBZaC(|ac|8=71F<njd*)A!tmF{Ub!wFFqk}K
z^YS$jmhaUj6GxcfEWR*-U4joTtyJ};5Qre@Zh!Lh1s1q*b5g}GiXYau?~4_`B*2{D
z&2GoNT)E?B%}wDD1pdCxCz5+}JHNz>S&oYXm=x0HPQDfbYn@4F&oMl_4L|Nj=H-H3
zR^*Oov<M_|S~bX};z8ExRbr4dH;|Bhf2rYO!0(uD=I)Az@wJ)jowhtMKh+;{Ib8zs
zpSXPX)Y`*;&b#<Gl@~-7=bOTZ_Hr9J<LW3L4^QowK3rJkgV1YH-V(|(@Xaj3;GZ5I
zqGCRu-#sq?McJ~m|Icmf-S%f?PT`@Jer<7apAcYmv!DI?_j216I{#Dkc)0t5@oIFl
zFeJXR9r@s(05wMS+vZvX@F?Pbn)FB%o*Z|e;TuwfB=333{T~ESGkZ85mL(2!hJL}d
z7nPyaWj^xhD<UY`$R;dRNW!I~B&L5dDj=Uz(6!yD3cxtCFDyhFeCC`rLp$+sB#6N=
zg@p|IdG;F;xiWBDcWKP(8WFC4!!x~WC&Lfzg-Eq-S)eUmn~GB=LFd%liW4;ycyfl^
zt|lN41&tqWin^1*Xw#2k^qC4B7QfrdT@}En&3yj@AqqH8Z`bJ2s6+l$^=Zgggj;dq
zRrb{s7&GN0&bw*=`^T|%mtRUC!R(^Dth>i=p<{jK1DX)L$r5rx9tXR(=}H#wQK2&Z
zO^9N+Hn8e6jJ-dg0&W7g-;CB$fq2EOk)NsyxtGHa^1I<-qr8^G>=_l#$C%%g+R%eK
z&zNf=mIQeIKG((lC>5-J7%Q%SGysc|GiMmti16X=B{t?33S=d<zw*6>fNwA9Wl$Os
zs=wH;_-~Mb?nOH#IvZe#)lm4}Pa?d(r;|3<LxMQZ#Gy(LBls-l7b>tugoM@<{r&?)
zkg@d=y3cM5GlDE>i;YCMt#f0i?~Dp0z3u6(O*e*-_=e%OJ)91QkfEZp62vpU$v8-B
z0#|My^x;b-fF4~i?=^XO2)n0Hn`mwV2eXyFf6T>$(}C(E*B7M$QHQV9z9w)gL9Y)N
zq5^e;%OWZ@V&Eo<dQJJ5z)#CySw%@4ybWVU*p~&M)7x+~f4>P-yY5~o$X5b}>T7>1
zUvq;<<7oZ`E)z&BG*JA>s|XHR&1}0$ED&g>+;|8x1}pIo4pYJMz{Xab`+z_L&E)~c
z1W#koE-=>_Zj}YX>DBj!%ZrHiZP(p9YetZhlVZDumjU|R=I#*I5hNkz@YC>EBjAx`
z8In?#0{A%T?HN~qYWc6_>GB#u6eXX-Nk|-4(tcUyhy6g?PAWHeX92WijML8(ML_XV
zhlcI5X>{y^>GR+60EeT0JNKOx1P;{i{*SUhs2FFH%zqvTj1Wo*T~mCZgH=VQ;ucZj
zi>N~qmkfcf^-4{{9UjQwGcUh?;~#o){GEc?0|ST=b5Yp&#s%wn!xaqTODKmB`^522
z`Y@|+h4}qp1L?zSDKXMZXrtfxp(m?)Akt(|rW?QvjukoqFRK2bDJ2=Q%p^T18Ig$3
zFk^sOrYEHywExgo{w(<iPV0h}wSZq;2rZCUO-=3!Euz19pk1|G2QIkJg%!+hBl&Z7
zSLV4EP?I+8_fFf|psZq<8Fg(PIXsx&e(uj7w4?f^x38@>SnPY&-JHFQEQuYj?5vwZ
z-z6!Z;3?38yy&$*UX(?|ru*g3qKx0@2J`S19jz8rrg+}C<~@%H7I*TbCH_MF;@S`Y
zJFW=}t`_(q+%M$$^tg&l$xqauc&z2&Ck+Vj`NbHYIf1BVPu$O3okXXYy<c=tG(hfF
zz(jZM2tvJ?WZDrlfvQ|yDzts54xO@3_a!*?Bld4|zn6=Rqu}z1W0qGPCXI*VrER*9
z8`lLHTh>O=%dEH9uiR9F5g$*)fWHk{IX;Yg&OD0F?p|FRrB{PKJ5HMFu}0*w!<R0D
z{Uhk;gU0;DYg7o3y!kKmQ8m&W`7((&U>FV2ptdH_Q=zNKE%fu}C&(gjXMf8dLVt>+
zJ$w{L0pUmIcvhs(qrN(0j{`M^P@aGxS2i9BgnLEzJ=H8mt0lzvT1AJ@k4fAcFSE&T
zkwGeRdGa-iNj+LNb{Impy?vJ>@MP%gOL}NT#Lzxxcgf1WA(UN>S+z8r1Y+AMxQ5h5
zG|nwXuJq+F+LrvJz&&3TqPdG~rQbK9?~kcBzV{zN&3?GJ4tyiR#RmcP9nCFhoW@s%
z64_DoS<}jYG^|9ZQR)As>E40bcAoALq#r|vT0`y@n-G8^*6hW0_$zu?7+qOpA4l6X
zoBJwn;32Is5L}(QP%j&0-ZH}pbe9ydO53agB~LHBFZ1X@ckTMwkeo?W^G$AEFrNxY
zJ_)&CdA%2<J1O~UpUO`({;W~Kj3*962W@?*SU);Yx&MgF^fY=YiizF6N*NXg?}h})
z{6IO?|Clol%%DF|Pn%oZ%5Wqp&sXHdFv>p3kvq*ahraZ+$%qY90<`h>n6}0!dg08|
zrw@Yupo4?LDr%jIaNqNNT2$#6dR%nqM9&_dcTMMBUC~yA4>c~Tr)(zB{o^M5g!n}?
z!AkItXTAaif7B_(aZaHstJzpTaS44?`jq&cUjgnFT$MSn`V$?j;XnRkdl{AQmC+r%
zDG#UNqh-Us8T8T7+3@0>Rn(uCYySm$c@XLd<Qj3EML&&PQr6YjKuslR<*KjAL4@P8
zglnVoXk{0to_OIFiYxzK@`^zYuB~2=kNNf&#Z^!OBaZB%Spx?P?<UAXA9HT<2bV?k
zSwgC{FrF6Uh~(%B5s`%(-iLLMGB2Svm+76RJLs^n#Oksq&tw2!SIT*NWEm}|RLcxK
zV!#R=f0vyzkpU*YEN|ACRg@}ty)M0g3A^=mgJd?kr>_L!<t^n6G{|~0MtO(@6YjYQ
zxzW<_eYbZ=@bMNJVwt8T?ZA%d1a`(MQKaEVG`5iGzKhl}Qlk=?xiGy=j}+%-DR|T~
zS4g4IV#(4@wsF_FF&EkPaTjAL7*I7R+w7;qeEuEF9#ZDT_>V56H?>QGbb_?$hf)TN
zV<ELMbAt~n!bq{j=Oy8(|ARsLDkcoqH0AMbQvj2(MZUaHmjt_x)cZFVSunvuNV`iG
z#uzHh#+>*ip`2)vd&7?%Bb{P(b;=RNN*`<<;un#G$)J5A=OwwYi(BU1p5_wRYA+LC
zw523a6U#*SZgXSv*PApJgrqUU+;-Wt7n0DxThY`)=EV~Dc4a@8$Y4UalG69KQee3q
zqj+|k4|6Q$hyi~&j7OB0PFY+U#B;H(tz`i$p#R>usf7Y|LgYWO`dVptdQ-yNKtdRc
zzpIosW37Zmrs2PL-<ARUCFI|u5K(M{^|uA<IUHsrG4#bEOBQ(BtH)_+B{2D>LpMLx
z;4#6cl2)wqa=`Dp@4gWxg*m7F@L`fv#nL*u>==_2z+oL;hP%jM5sn#{rxh8)G0iIU
z-c<r!v&p5v-?G@Lrpe>wHz}BHr34$S;DE7a+v@2(d5o~Y%f8h}#Zqo)rI@r6V6)==
zM+aL)%vxJ=qJKdRdys1SVuOba)RTWg$_11$%_E-&T<A5h;nh-`sVxd@)`<818pUD%
z0{{U3{|uLRIMrVq$L+oM%HG$w_uBLOwrL^_rL+_cN%RXzRAfYhlBTRmMj0X8i!zdg
zY*8XJDY7Cz|DNYO=lOh|bI#}Weid%fR}vpLpzBUwZr`M?kCLwGU!_k-^bJmT%$gGo
z>E$fp)hgEvQ6k@v8N5fE-k<wx`^jI1bX{5b#_c2%*d^Wg;Py+0zIncBqH@ZRUjJ)c
z@b|bGsy%<?k86<Wd)7ZlPB?E!Kf7^8oT<zbQ4{TXze~w<vF6SIYO(>{`rqm;Wg2jI
zO9VYZo<djB`ypFts!xBuJhYpi*BVc(Co5iTr_h;F_5Z~CQt2M+l<aeiZ1AkVF4AxZ
zg-&U_CK+Hyrf2sZU^z{(g<AZtYd7R5bmy-DD<LmQblZJ?XJw~t5ysR?(aR^(v$*q=
z)32-26-w`kviaJ9-F{uwMIJKUkSqOhp|=7(E%{=9`ZGIFM(b@<19j-u%Eo#H!xD6Z
zXMd~h*VaA7YBqIW(xT_Moj<w|#!tV%K}%l<utU7dWK7&HO?uDVKxR(NKU%%ru0mc>
zJBazr-*Dqpr>h4yC?3?Qr5(CH%ylQp7O}?)9D>qR=&Y9;t1fHL66El>&uWaei2KN|
z?P;P!zijCtQe(x86Cy#(!~1Ly{pW*9Uza@HsIl$??=~(FjPYZd<<{6(;=A%$avfct
z)YBMyn;(^ZN7DTytntQjxH$T?1YM@9{OQm$LD&>9oCpZA!m5tG{Ya_^ed0jvm2E$S
zkgW3Mc;r_gF7ju4dYb?}E-^gsOp!3E%Mz_Wy8ywieQjs5xabjH37bzSh@efK8q}CX
z;F$Ap+A&)e`h~XL3JvQ;K&pD2!*j<HW5b=B@6IgK!tz93W!j72kxr28ljjzYHfimU
zzVMr-J=^qKTvY_tS3P$5H=Bb!<7!H|!5}R(d{0{ToG^_2BoyQs%rQ+mDaBiyL3=`$
zyz#eM7-8--O&<$0Z1{cq5^=7VnDqK4sCQEsd=0OcWFk%By1vnC!G3}$ZD=K;P6$J}
zY{!Upw+S?dNlhnT%@A@Fof{9f3xmRBcfZKM1WPi4V(ipK!f3Zy%ZQ6Gtmr4M|4A{%
zzNO><Cyjr^aE8ODult4Jo}(qVjl&q#aXXlob~0j8OuKj66=8TBbiBAX)Cl|Srm}NS
zGDDv6jc;VFFyxq5f?h8g;*;i$?xOvym|iZ6cUvcdxC*T$N~j@ROEm&E8nL7NU|fmE
zRT1RHF>Fm`H$-yBk(aCU9N3v!D8wr+icXJ-rqyHv1ShCv7eC{|QZ%Wds7w@+NA<q!
zq!@tVZtA^?Z9K@XYdD#BRt)V)i=&Mn_3>`9^>fQVUfg;X#M|pEjy(=~ezE_pttTWt
z*3RZfE%ls3fsF)WjxV(Lspuoeoph=pPXLZz=2k3RByoHOdnNkx(9WoPMDv;;O6i@^
z2|-ebo;@G&G(`_{%kIzf&I%#4_-Wpga%p%8T{+2rKo5f?Lv7h(!q}U0&gQt(I)wb&
zbmKEs51xX83tT=Ta3KeIU%w%XLE8|4a$Y?os!%@loEF9T4F^=6gyhjmYGm@Bp`xt(
zx*$DH40&N2QX5C)*ZR!0C>WyRK6&&&aiKUu_P!L-ZBW3{ktm;wgH$YueZ75dQUW45
z`n(B6ia1(VFZ=Na6%MD*i^l0o;m=X>QbD#7`W|~df5@(fD@GR=c&|#M#x-G*@tHEN
zU$~*bMA5@3{mVm5e`L_l{~+~nt_mQ&RfFr89&)q8(lvc$(bs$<!J$|c54<?6Yl`)-
z>vHsOmOpan9NOk|s!|OJ#SDYWqWb8y5DeS?Mjp?9zggt0QAfGvDupR(ZLTi4emHVd
z0Y$fGEuv`}5cC`{oZ~To>w>2#^{^t+&XZJ2ay60Z!F6+E*4q8r<(zIdRl=_duBh@D
z5<c{fpBvd`h>RBQxnF$B_%87D8+DTwe($9yDoYq4c*APNw*h6a$G#kM|EY!f^-M=;
zlSXi&C{SXaserxXUX068ZQP3F_*l_m4C-zBRKH`Yuy*z2@_nU^bqk(#?r%&$z4Ruf
zM^+6dKfUg{_fZ>jf(N3O>87Y`nkee0tASXt?rP81#zMUEI=dP(C@~)!ir%D-8*`CH
z*W9#mIOgk+e62a|)1K;aRjGqTwy;O1Obc7gELrDkEYOj}*U>Mo0a?F89@_^=cx0xh
z|Gn4}UsS6VxVC8EN2znU>_<(UDLiH%c!$71#KK0aLmC*rGZHEqtpPW;v6dhzP`WeL
zN_4vhlpo)6;1X4bwOqJ%Zw#>Qbg-m=vIc}>65X;wRZ;Zh$y9k85J^d{srjG|3%iuB
z{Y}as1zHc+a$AA2N2|APhdMlW9q_jhR6^bOEq@296&ycLWo1^Wq3&R8i~d#x{1avH
z)_1Uihi{SgYkoDvmlkP^n#+Nm<@;gT4OVF1wzrkpUKKk#nWA4WNF&Rghma(!Fp`(5
zHs!4X`$ro_Hjhbw?ohyfU)c)d;(LnZLzR)w_zRn*#IRjOU+vHe(3SES4pB;YT0Dy6
zwfSaoQjEI35%9|WPjxs}5fW;t)o0xWap06!zRoq^VQe6koS=Yiqk<OQ9zNVWz+C)!
z6R`Qin{|H@<?%IJ>4`uJH;!Kp6<cKm;8&N(Z6$|p<=DBZ2@bqJs4pxLKwxR$=8t_o
z>ma4lxHI!D8!kOI?@jEmM8eiFYG{@;&V6HIIV8i1i%+=!BpX<Q<u2R(nSYX?Q1bV_
z`^Jo66)xM68y5KN%X|E&zXXhO?Ng%pnPKDQGcf+s9Q+fC=L?v{As=-~t>PvV+=RXR
zt2dcr<H=dY(E?G3oy+sw<i!NZ)on$abIhQAzeh0gq6jE2q~mphnefy2KUq_LGmsB`
z9FO%EMt;hu*rf(0G%mmY$sS+|&lGRP#0x@LddO*%yMY<$v8nOWeI|HfOM3X@xggrY
zc@!L%nBmT-GC_ARL23EQqZe}m*uA`Iqx44>*d0_B(R*c#(S_ND4i5pa`b4&KH?V^D
z>hP6RO=CplCZ|M{^MkE1ZH!@%4dE%NLHdu4;5Wwl@zD$)zNUH~Yn0#sX)04gK-LJ|
zvF8g~J^1ii)pQTfaZa%3cckrjV2B0%APa^$UZ`Jb5R~cVLZz4P4;`g7F3hd$F|Xi-
z0UK}mZ!aFy{ruTe{@ef*Z$Iwld|q5-h)5UW<-;Y-_-rjR13Xu7+-u&<3#SH7u7DPP
zp#Nh?-UoejU5HY566b?mMXr@ej{qcpi9QcKq7N58jUy{jd~iK}v+i@RAWjY$+I6w&
z<4KiQce*@3R;MmZKbR82bH?-DT+j5tRp~I-^o1X>&6JaI!XkL!6WMyyO%Im-S6(U|
z62O(&rq;I`L~(n;FK`d59_pGbSmGxHaNqW|->GCVeD}5`ZL6RnL{R>HZKNPJ@Vc&l
zxg-v0Hk;7)b5txlWOcF`3c)cf;_SWCk_dYwb2h-13ga=JYblFDD7&6;PmN`5PQRy}
z?-QZoQE)~^UyCpzn(G^7b7b(JUn%Q{DGJWi?zyH*TjQ(Pxx>6CWg)y%Qe2^pg5<5W
zd4H-z@%m}3iinCl3}}x2wbc}4ykTpK>Jh^%_k^FMoB}uto4M;NDR|#~=d}i>1n!02
zdatXZ2&vo~4;<?$I6EHtX?c?*^fN9sCje1EuD=;7fzSWjc=#6z_U#<ynSLS#hnKp`
zQm)Fd41T9x#j#c=^PRIfk}_DJt8C&tqk=aB>N5MSsnB7&pnUn^I<z}i`|&<f#iuBe
zYE?WHQn4&v+f3x}fM^+zZBhfD?5+&spH!5nx|}QVmq)eJVv5hAI$oHuEVFv);Q$xI
zmnvrk{AqEKGMCpxLk4@X@h?4S-!aWFGf>2c^S}4YW+YJk$K!7$>VwzsbCi~>61E;B
zxsvR);Ihv*F=UGY0vq#v6*-kLwOdNZ-$)w;ZZ!8|1w;Hv%HKhnQHDBC&-W&F9lY;R
zQ9ZzAgud4PFKt~aa6V!`(3Go#INtqw)$GRj)GK^mdyR{{z6@!<lypH;C~{I1H$fMx
z;I95iHMA2rtmvtWJIxAW)%vE0OgVYh++H06ZKq9a-E~otpQ_xl+YEj@0zCmg)xp!J
zrrXY=3%andP<W&{L}E56REBC`>%H%mv1fGf(%X8Gl52s&AfcOylN!(+W?TO`NgKi2
z<j7@>me}^bBj&G>CblMPH19v5g$2VJm)cGO##;;fDm^seSg7{pCld)u)uD^&UckhS
zn@Kr4H4)Gqemu}qV=aF#Jy>c6n!}EI*J*0vH@$Gng?Ke&e#^M)tZs!{dqaeGv}vH<
zwSMH{eHA$V8nS6UZiV#iCq(A9YT%0SsQ+||5^U>cK1STLLXc7FyR&)fIO)%&Ym%gZ
z<F(gJtzTI|FMwD1?U))I#_WSW>dB!$i=SLsVTJdj>M_aeYKZc>a;Dfv8fkY0Z@9i#
z<I8T}P#Zo~$lo8$4jd3i@TAvt|4l25DnI|epIHS$1vRtYX(E_Q_c(g{h!qli*fMTS
zD&fKJ-kIS_LGX-t4|nKTVY~b6l`YMR*rgs@K{~;Q<4s=F`3Zod;I~3jz5){NEevam
zapCR1h%rhkkZWE(HnPSM7p>a$ai`gkePMY%#u;mMh6Ze7ki+KG(^cvr%<%2eZn`p0
z;Hj?XHR^;6G;JS!eJsa_fybI%1&##TukzsfPbrW)!=i%H{t=PR^BpX=EiuVgpSf31
z64`$q9cEx&Ci+A6emgp3fw@!SLWj4C!!_q%zLn(?v3ud@UoWZ!c3h;F`M+ArjdJgw
zSQ;%7A1uR9Nko{VtTnwTz)}R0`X#2vS{I1l@967yelkPXejA_6Q6WSvvpH(dFA#$}
z-)y33nBgyJb4q@ZAfBZ1Pl#PxB(}6Z7cGr2#V^~-b&cr);HAkaPQ@${{Chda;s;D{
zc<W{Lavy%^KR1ZJ-u0I#sPOkV1rwaww6#^Uffw87wexC^uMnSgre?x2jM28Ld+zTc
z9u%Du%=&AwO58b6%H7OojPA++Z#7eH$kdw$hCgNi1NGgG<L8W^{Inz?%Z>|4<XYP!
zm5exZA;bQ_lp)?4T^WhH#EErJ)BcJ5V#4k+pSZF^hDgki+9Ev5fi5?b?e!)sNXwZN
zxG-RV-ugYmdDl6Rt5+v~B$*Xw@`Fy%_Zr}7vQdQeZVtSAAO0|ymmSOIB#Wzq`gr?7
zcEx=&2Y$9^5AdgO;Lwpou9c(u82wh)S?R+8<^O&xW)fUD{ORF&tpz;{EFb&uGn)f}
zbN1be3_N)8Ty+N#qX&0Eo6=!nPITP4Ci(g^FGzdtN9|Y81Mi+0k;zA#h;|kT{@KG1
z*&+VZ^=n+%@J!eLp(_{uO1x3CToJ(jqm~;BJ*ha(nL9tO&W(OK)+bqVLdfnbczlYT
z3g?@>Jgmw**loqZV7caTDeDFlb{A2=QN5^h%$67b-8K%o{a6Isz0EH7`cP0@vEg%H
z%vv4_IT*BsO$??dM5<4!P~a$JeR|shKa|-rqgNutu`inA(9=;eO!j;2WU3Q@YznWb
zrj#U>JRgcs3dz_o>-GL|rXbF}d1YeNBn4@%1ft;z85T;4DGhgppt>u6B<#KnjBMv$
zJ0Bq<hG}ZMMV2sJqA3Xjv9jRvqHcfdOoqA4HvYE_BKXw7Y8JXt9yU!vtoHU~%yvA?
zSjQrUg62=B0uLzQR?y2Z5hpU5u3A=1ZWo8f)?+!>qZHA8rlBcm*V_5?V^#Up5|}+S
zSt|Eh2|I<KZE!h9hR3G3TR9F=a0-dJ`Tegl<jDy9k+-%#X7|nZVQC0xy*|(GsEXZJ
z79MNNlX263@qF&Rb=aYGd1K!_HN@D~mA7rBU~)`5mU>JMY_?BLKFz7)U$fu4k~#|V
zZk0B7WXYo=?QNrrizfOu^dP~F3N}ZhvBoq7IMxf>T+Jk*k@A4M=Pwlt%D1+?%2LGk
ztXFq0tog{U=#9BGm3r{n9M<jdLJ7xr{kif@Ne8wYWnzBa*GCp>%1Ug7G8iL{aS*1u
zIJeW|l=B?}_?Ond{9dmD^UZ?01w_c$Y2In`InNN43gWfg&8n!8+?!*1iVUMyw;g;3
zj8Il)d6>OX4dtR~E$nOkPc+C#Tv9f{S@*dgTVJVTG~O*zyPk|hy}Tcq!KO$`e-XhD
zuYq03PdX(_$mqME$1>M#2Iu30#bb_|h_-m7>k~r8IkV^uvgQ_elM`gbJg5oIXPaZ(
z1;}{t;BeZzwK?WFJ6M;ym4xHVn(N)BbP(cS9uV=30N1nlPRTnY+<J6<F#C`;S{~ao
z4X$~L(E*9m$+;w`ZJtfmyGnxpbJ3wrAuAZ#-kbS-orGEG13BjcHIOMB{Hpu172<=m
zsrRf&5cd6Ye6x-k`oGc4`Mz2~>tn1}eU&DX^zRLNzf(r$Ss|NBMQfC*cMa?l(gdI6
z@f5K=iumgi5$L_%8iIBYTHB2^kR|f8DEyZkc$g+xigsEf`t7x)HdA%9C1gB5v0EB;
zXBPQ3ZL!9m=B^tfYd$DZBSpI<Bo3dP+x!p6)~L;;$BIv?pfyZzs6bN~+9xY}Z?0NF
zD)IaMi%*rIFKwn?vyUGfr|S-FrCFiQ&AXj<uM({6D$bg1<-|{`k{$p2t&sTA$U#&<
z5rrGQ$NaQeaI|+r_@#AL@LL**wtXv)yIW?Wcs{HWALp{3T&e>8+h3M9!Xk%V)x(7*
zg9}8L>hg-&exTy&`D-S(Wk9k1^KbL18N&Qzwhr?Of%MVUhLW{^p{i!#pPo8JxF}j)
zOfn##-E?tkRZ0TWlgbO)&qfLQJoi^0UrRjUv|*x(h{1kRI94xfh~PfvE35L<0<T)^
z9%>qhKt!jN+r(**_#zTu`s=$nvLe-Xyf`le=XqBlN5`*3hwu*1+v?_+)9lE2J}rPR
zVTT5P9r{X$42y8y_BDe@`lrD(5q|h@V^mG?9werfr>~imn!?vrMC@@Q59n^n->p@K
zh)XucE2$i&FyQBGoZZ8PDW0pk?1A5j+ulLjyFE-G=OiCVJI(>q-&|}*OvVWR+>>*i
zMaDR5v^w8k&W1DZu62a&nj|JGCU(RL8^iNdUa;tTRyb=E59!zbB-(H3{TK)|Lbb)!
za2){_tnPhtukzI|VqR=-U|F9bd_8z&rMQ`qe@#;KedY|2BfM(J;%JC`$(wXWBPKkY
zNYg3J`9tWHnV-&jWq{@WpUyk3G2-Fb>GRQz^F+SKG1u!P1K4qfqz?!);!)>^%mjud
zLZ<a~$jdZ+#OW2AmsT=hOXk@T<IT%Nom|7YRXKeWzV?vW7ta8f7>`e1i~kXe=#oD5
zNDm?kX$SKzFaS!HY26PPKxUMG!lI&w42PSJUvDy?Tg}|rW`+@msl40EbJp_q_Z#1@
z)-s^pQo>+#7c)wX8ecp#rQ&kM700LIjQBv)RB`NL!Tecfa(N>KwUqaNFGMn8rpC8G
z(U%Q6KLWq0?5Ci<VDxaQ5ECr>Y0{_VIIu@JbkD*P84TO!c{h|ZLC9A2=!u`4IKzL1
zw&M;NWxK-q!!E9QCK0y(+*fWW363!Po0Gwwyl{2en+5b60{4hTUX1^^%E{QE3-RW3
z_J|X#*z{@oiS0T82-t*Qzqyv9`^vv{9=O2<muq<mIc|bD^W~z6L$nT5E6Y!FbhBe;
zc-y7vbRmdV7_v<)X(Qvbho+VdC(2~`f9MN{;QgB5o(a;1dH8s6T`LzV*y}&%B#YuO
z6DdN7O&f!Z3I6;sJaG3k9J&s1G^rg6kbbNM#*348eUI^h93B+J&n1Zx)@VtcEn0A5
zSP7^!7eH^<7afavDRdv*lda9Kg<2`vso>pf`O<CmBn#I%G<b9!+%!bO=8L2x*PB9+
z@@~GuYAc5{`>)R>TS)NM^vlQ{76xmQL#audJPLT$k6-8_p@2)wVSKA7QY{jPe@iGr
zuD6i8cZGzuk58W44v0bcYJN8VX(ce#JuI5C)q;V-Tt(v*35Y*>{^8pfWjtyX+xh#2
z7Vh?>eYSFuLYLu)GxvT~EXW4TMLKEY+}udWim?oItd$R${8EEP^<>#o0Uf07ENrYI
zWDz~vW5&3~fpvnO^yD@FurfcY=tz~v8wLIL6e<bp9wqy2RUjkzTS7{ys{)*&Hs8wX
z(!x;J0OLw88D7lpPN`vv*j-Y}z4D(9lxNU*yM%(5ddeSO7AwJ97QqBF8S2mG`F@vB
zF?dR*_1&y8Hj0k_$5p<T1AJYw`TF(HImWv2lYuJO!XEf~c~THI`#88s%>bzjKV^#p
z)DU@cO8wR_1rPo*?Tt$`L=Jad=H_g5+{<cQ4X~#o^kzl!J9%R$DKvUtY}LT_sm8yf
zK~!9~z1`ebYl5h45`9P4`1QibnJ4Zn74}ItCTh-`!8>K!qr_Gc_WkAYIAKo3sEkpH
zsig(l^O;DeQnWB$67K!Eih?5w{x)2Tmf-c0VQi;pW7xj_y$S~feT6KaI@i2F_UWeN
ztJk%0OLdPnrw|!Cp4CJui(0|`#T}D{0&RqNH+*kv)J9;9lSXf~6>4|6AC6k{H$$sk
zGc3|1oKc^6xZlkh=ku<QDjH}bv2>@)ZcTNVzuMcL^wt`C@)wF-6SeTf-zhdnR0Vz+
zr3)$|Hn_{Ru|(??33Z+2Th1)5dCd8emOR1+2ePl7Vo%pZaQpmx-IsN6bpHN5&B+Ev
z?BXUX2Q<(Va^L)^q68l8+8Omn-v$b778b56YG7dIOIhs|!UN-r-=4DCpyouXa_hOZ
z_hgj4Gs%euU7n|Achjx$a)Y?7@q{wCZ8-F3!Yp{WW8{0ik2R>-!BP1xN>DZESU+pL
zL`>wfb@;PcV^vD_=h+ek{3r5|ed)*#;&Au)j(sUs;Fi;k%}|vG4^hLLU(!xwnC%{3
zSo6&bf9Rncw(F2=Z=k>?Q9+y52rpYK1itJEIcu<23XiO^8iaK|)24nLd3g@N?0DeP
z$;aZT_qsHaaOpekkd53skrV<RE4y@6L`A{DJo8s)a)Q?RJ}~;=D@&X`60yCnWX+Ef
z7fwjn{iIo@d>XLou|Qnmhq}mk0no)1wRuCQX`~%hpU*N|fKOqo-F*@-HhY?U)+(H)
z@y%R(aahkBh1>3S(NZ{}`ooj!!O3abl7LmR+)*<ueXjJ`dYBCh%{ga8Q-9KQ0?tH6
zWtqaL=cSKUG&2^hyE`3+e$doE**SSln4qKZ=;hNZ4AAGDQGWDkf_89M6WPze1fwGT
z`-Xy62z&WVmBPd^+C;3vLHEnXc;XcE=|RLI@yaLh+j?Sz_G;W~u%*Wc$@{Nu59OF6
zEZmTFe{_h}{gz!b-oOaKjIU?xR(})Cy!Ic@KOCfe%RDaam}Cg9ecyDPcTW?2Rt<3;
zzF%mQ5n=VTMFUvuZa3VlG)X933K~R7AMKdy*yYy;48U^0{k=JPl<3*ia;mqxi*|Q3
z`x^U4eaO9*RxEorM0~KlGZ1dqPMc04LISPyF}Zh7F#YRS!dP|AZ}e{q?PFT(rQTva
z_<T%S9BAw(a>+UiIde@k-ZJ?qVX_`BZG7dkdZUNf)|N%dyHHQtT+g<5`8gHo_52Dh
z44p(d<CpCh<7#M92~Mto+En=YePopU*GBliRkOM)TS?RXd*;dh7Zmsl*|i%6wGeE@
z(Z^DjifDfXI*c=oDHzx<@vg7x0}<2WEPGrdhc>mp=AuRo8PckoB0V=X68BARj%&F-
zq_wgv`?jt5ix7w4q3V!&f@LK0uZChU?Q~YZyi|=YxF!-0?l7t)J~pi1G<o<M5ziaN
z5k9VieGPHdNhjVA1tY6xv&J72Swr7$zYy1f#~F%w6<-Z;ba+6bkvoT|v~}^hxLzAe
z-`(`@@KzIF&!oP~@GKyvIXfepBeW3zb!md%vx?Y!Xv@`R(GtR(#czWjorDG_qjb(C
zI^o`zc&M_hoN$xcyTOW?gey8R$CNth1p9T(9~}8~Vh;z4wcG|x$dxJ@g-_E7Gpbv`
zG42}TkD3h2=xq&%um7+6u~ik3`lvj%@4vT1xPgCQ@R&LdE%WUo>Z*wMC%<;wUa2EY
zQzOHR33V70k@u^HRTGP*WqG~n?}#v~S7M<lYUnln@K)8khG;**agg~;6Jc6cq?Es?
zip#1BX-na62uoD`ZZZEzOx!lTP2Ho4{h2IPMon*trLD<XZhbApr74yJqi<9Y(y}ek
zc0(Oe-gdIW^g$aD?e88^Ojdzd->)mq|LTd$&LRK8qS}e(I_J@dN6Hx9(l+8U_Kqmw
zmgx<--$~?r@~PDqQHDnY^8|}P6Cs#6p*b_$P27rFbT5omLea!tiRm-V#Frm5QPPn<
z;(q`D0RR6Kmv=Z7?i<E!vYo?mZ09(fV~;Z&^E^tnC{z@cjEWRRgES-~q$N_RWHj_`
zXp_f?ij<kAL}r9gvVMO5-q(9Q*Y#fS^M3C8CRW=}hD5X=|Ld*G59FG7w}<)G&Cxq~
zX7iH6)rnMSJ)APrn%>M)`F%_2k75@uD9?{iUyKT|&0B8<F<W_uN3}$+R)6O)6y>?n
z85Bqp49nXo(#~74)8t8JZV!*tWNzcHNP#;oEeUB79XzRNv%+`RdU=6y`>K~*(}bNb
z1138iKk^!sl@|W>^z+=cz2A$nG(kT*ynt2tnOAClu5x+c5bw>nN&JNj4R}{#e?la_
zlQ;0I>u{FV2+xM|xVPk)I<zLrn$<7u;td;2q`78~^3KtBY~lS<gB|Z;4HkZV=j~Oe
zaeAG`c}HTUj{4}T!G2a<6|KI9x0Tm-e+^@TS5fpmVPUH(JQ^1la{SQCqj7kaJyugZ
z^4qU>eDA72>9b%tVa)+v%52+%kd(i?%iA7FW-cg$fJ?Fc)q)}3jIB6%lj02Tti0l#
zE^lRMTV*9ijvV2+`fvL!H9W`LXx}k@?XD77Hcvd2e=*7vuk5~Mk-`UmKYvbhBPoHo
z(zW2SxN%+$ofT%~BmjBsTl=>skYRFk&pMBw37*CfpT<6}5M;b|9(p;g2=A_cdqg=r
z#XJ8fc}LI&5%?r<E_LO8MQHfWe5m^2FE8TRYQy;|F(7XyWmt(Qg8k9&r43Otyyn>;
zv2R-?Al5v7Ml6p6YCPH89X|8CAaZ|={W@vjiDx{@bs&La*5#bTHGGh}W$%w;Z)M@|
z?gD<-1qE>Af4NQfxB#e~ld}ANi2yXdmZNj^3UD=0=+WT>AxNpp4|BOJ4_~sT>z(c>
zzz_QzXuKx^by3UW@;XRxjqEm>wWy1y*lE_PFM&JBUW7R}C1`Pmm0ryXFtF_Y!pS!h
zz&RZpa#cVTYH3Mx>Z&9_^6rwF7t+w!UwEfsULE)nOUY7MB;Yq)Ql~8{2gG*CT%HyM
z>;jg5>~&TI`o+0M-S-4|mRTIA^ot6l#8+pcmyuy_RLHs$?egFu>38H_4-E=cmb$*p
zRD!_;#kXBziXi^xs@sAP9oG9=Z_8V%0v}Y4No|c(f<t;-YPE+hl$2ZbZ46g~Lani+
z0fH*5GyPN`QLPX9buDq$1Wi!)(fa8AOC9WfsE()j8A0KSlt#%a3hc~MtUNDB0qKf0
z1wlzBkmk7WN>Gay1lk&=-@8SH(aLQ*X@jP~lRWQu*INe`+Q+s?MAG2%+~!sG?o61y
zrlP9vtqa;MYpoUCb>M=o`Ia*UEZBJO^pV)F24LAUDQ#rM0L$wh+lzbH@T4JBZfm>=
z(5gLOP?&n4?^R;b_Ll?wZc-HH2Q&EITvpnvYXFtw=vw^79HQ0}TdU&OaM6FvK1|LC
z{;OuNCEdADR-bob`9>~m-{)ELyu%oz_olwI+Qfx#mfJIK@3Mj|yFI(S9-6=lxuVsF
z{+Ppy*w?%C@@!$d^(<-QdQ(W&_*)evXb#&(Ha!2<1@O>8XEwFf6x8N+vKU9$uo>N(
zF<>eDHO~8@Kr(~p;UC1K<CyTEWT83x{xXQ&7NnJ=YzA{zqX|1iO~GK0(~<br9`>zx
zlb80@6dZ_K2my%(Fspk}rm|o;96A|Oa3s(a?1>K31I0QJc-+i<yRievZO_+_zhMGg
zxmD+vywU`-ai6<h;SRu%;g;WwH3o&IAjRM7ND#)Ul?)AZfET9sZ>G8#0)6dK!<MCD
zz<gHw#7@-#?tN61d-z2UHg;4VzY#vbt8<yKR4rN#3DDTsu$%$<8;hGpBE~8Xrm0b1
z$SwyFIWIx#d2M)}oqa)MObFRIXHE%**n`v*DK2`L3dt|m{!BP1jfpYma?jjd2LEX4
zV%8p-;4!+pN3(-~JJU8yRLm>|%{)fy>ns&`(ZBmA?ohyH0(o|$%Tfr+X_sGUUHl({
zFS*hjMSQbTcbs#@4ya-I{)`|3d}@1iqjU`!KYL<?w}2f4`IKBuKO+gl<F#d*XUSOg
zj@5KB0-*K%CAZTAVTf9&)$d=fgf|=0zW3Dgz`8=(PU_Gs?^l4*ewwEeru65WA9`yG
zP#qS?Z!pSB3}PfCn<}ACI&HG3&j!xtsz%@SYUORRQeRp#L&k=weP=x6Y@l$U{JvFm
zONHUh4SA_$WSo?UJ|pjH4X(Xe&048L70-0NpSi}9@l#FEeTUOlpeT`MaJzi6;&IdR
zmmi(TSoHZ8Ik?{vZZMyb!oSZ}P_D~3%}~fVKeXqgwzDNvoe)qQF676m1;4g7DKg5c
zk`(roT0r9LsgfIMLdYzdd9qrDj47XTo#S*ZfUkTsAizizwaQ=l?PHM9u_)t1N)Z=4
zounyR=a%5GNz;i0KQcO<(t4|5#09_A;rZ+)3EcPQ`vYbn8L1qpn>}UbV9@7b{riU$
zuF2{6)GeWe+A7X@m%Yq^<D6Rl^@|L$<DwSwk1OF%FX=57;~aQYQkUxeO%??f3<un_
zl`-}vf79)34xEZKmAv#?4o&uc_?Fh8j8)>2or;bepuKjJ@4iDoqrb66zpkmE^(Rv5
z<vBK(J#zc@{VWlsvmCWLQ&f@Uy?ijKj13vFGfTwd<Z+;Q!LsO>8eZA)@R9n_#q(_<
zq&>k3Xn$I{HvGIgdX9Jfec{apBilHEc`p*Cw@U3{)M((nEb}MBMr^3v)motEtcdsK
z?#Zq=tck+4rg=mn8(xIGero4H#`xLE8LA!yvjW{XmHce@s2*?#+>}t=``EkUPZX@}
z^?aT(!-D7|LR}x%DWj8bUS0JWDkkI}T_L)7e*Dc^%HC)dtnjTrr{=AN<|Eol?+I-9
zeXm=`C`T1T<A{E$WEy_i>YjVXlnwDKx?-Qzs-f8$v&s)&X()M&l-%OahTMniRvemB
z$Mz%29x8>}XzO%iIXRmR!FAF>R_dDQUgr?#7N&#8eYSNqeq+ORorTK^m6|xaE}I&w
zPsj2y)?VOp;P|fCgMJ|tyt4gAyl*!hz2jock}h#TwL*;6AxTB$fvKcrCm8ts>qF{c
zqB&f0d>^BBpNi*~5cj(2>*CT<gUqTdbMO=i)!)BH3vKp%J?V8{7rPaVW0UDzxL+$^
z#Q#?d?|Bv$Q?&H3H&re2Rt*<!yd5WIoT6do5$UuOF?u+(UQ9GM+yeIht5IyEX`^Rz
z;)BxbdU%4g|Ii9GOE^BVo8SGGHnLQg$E!Zk!^dyPW*)7UQ1ED8@tBSd9=aLbKYv9J
zwM1n_o@H3UxK(NA-%K5pNp5f48>ok$nwr&ooUK7Leqsg&bWlEA(&zcKF1r0v`FfGh
z25$OAkW38eI6Rp8*KUh0dQbm*Iey0m7)3Yi`u*t0j4<kY{T~ArW0xH&U2O}E?ff$n
zJL$N0*LD4v7CMGVRXOh*u?1gZYyHNE#W{y(J1)Q1LAj#*q9xHhI2UpC@{3h;Ty<#E
zrKgpP@5MM|@vV;sITnYPtyZVw+meh6LfJIzZponTp#szewEpRA(!mcy>KS&Mw2)=B
z`e4LzfXvzb!_^TwSl1=;Du71ClMidR9a|4DrOXf=n9@ewO>5}t{hGMlFu3exC_vV3
zOYNd?ZLA8C?#m3;z+Y3jz9$#;vFh5pCCxPKS?c`lGf@p|s?V^GEYA7ypU(b1eHv1&
z%^vLSQO1@ByF+(70$fmW81;|ULPue@ysEEc^tVi&4%G$NS^Ky`t%i!3B=hw|F-1&o
zuAAH?2rwPr>7c%ZiaFP=<g{#7KuJ%#<{c$GIMol*hVB&na3wwd#&05~E}@6!Iq_h`
z*Z9+yQ<@m&nmkqZh=8pPr|D-t+CqP`kMzQ04J><E_GI$598MYV1nh%tLD)5+L2s=(
zQvV$_^>{Cf8vpg%MGx9QNSIi{brChpn$8?jGLpsKrzeM>hS`8e2OM&(Q^90~>l1r6
z%Ai8v=DWKGt)a#0kJO3_%D7UvXia0OG`3Gj_&0?v^7&jtNl20sva~f*Q&&l29m$*A
z(qje9D!b?3rI2wz>iG*6b5S3tJ?R~21;njuC;`_Lu_^v#VwtBjMp3t&k?yjDM#a&a
zN8gjsa^HDIZh<r&;3%KJxXBWJ`H2Vb)FNTXfn37@0~s7ROp#COv4AI4<vh7$1(aUb
zd2!2k8BC&(?QFMM0F9bvsw=F3b$Vyxmu-^8UCS~KFn)8PIW@6h?Rj~WA%<-;_#unu
znnonA9OT01niXNXj`BGB<*U=nSUDsTLjq@IxZwTg3yCZtk9+(<+=52H2fvU1Nxfzc
zztncO<^CXIRkqVY*B1hQ(>AZnwK0bp!-us7?L?e@!B@Van23|lb-m(0ap3EH9C7+g
z#KQjyVh<+B;~klq%A@fdc$$#ZvF8sFL%r|FaTfiW>*DGuOkd<o`Kbjrx;%d3_dSyp
zM#9Qjm$7wiY&co@O<`-8JW|=Nr(f<>#AH#uqM;Nv+&?$L*<US>r|(C$&1I4C&44j#
zEN8<&Pk_9Yu>#(;I<hmgRtY^LiDTiSY?w58O^v**fV<2&l6s;lcxdXh!>T40INhPY
z8UPZm`K_<E(pME-srKEz`7BV*h{%ZPC1Kjpuivpu4f8%W?p2Cs!OrL(HvN|rQRvb9
zUma5o%=Wq;Y!=9ZY0~v6v2A2*k5Rrg;iri&E+zY}^khNdoBK*<9hFerdgrGl+7zr)
zitsaZX2E!Phd9$*d2!FAODIzm<h%T6KGB^8@{^y-w{lgmx+nCt(;F%>k3A{W3}69s
z=Q2W;iz;pqVLrCKu7#SH>*H!-S+MWbNtw=YH4K}|FW8n$L-DH2c~;Tlz5G1%bT6sn
z-pxB2-)+%GQkhw+UKb07+_E~vzG$G&uC+^-IO(8$lVG)r9vjsBe4{>|)<mdd>sV;f
z@$Q<ZxylJ_$ll?fF>6D?jk{uMWd6{xLdJ(SF~o+#{lApY4pH#tfq=P}6%6co8)`Te
z#DRL}xqni*R4f<W+rZhUi~q_VESnhSK&f`mo^%&2{AonaZc*36r8h<}_?S7|?M*D4
z{G)|_6K7w1y{U&gdfu(~G33J1A$7IB%QQ3z^hi9aqL0;oQYu$<abdj0tGsThHeOxe
z_R4P6$BO|?GohC);Q6HqcH>8F)cBb;Z;+{vmaFw!<+oVElgq0w6GC)QgmpATD_tK)
zVN7`y+X^ggY^<(zE%I~PH;wMEk2}7YU%Vt_4H@!3tMgsx_+B`zIcHuE`CN9^lA5i7
zyvldYrb~3RcHiM@7paF1%XfXx%CUjA19|#!AL+PSDfi;8hq|bvn|q;mk^fCOp2Pfe
zbX+r&6isVl;0+(f;Gi%M0;1M(j|(v{@p<R$`xkVqIjQIR@hT6Nt-hAMYLt$zO^#2-
zoY%n}8yGxu1pujp&R5Hjj$63;A4OJcV~kw%DpB`Eu5w5j{LyseIOeIk@zF5v5*erV
z0Ejf4SluN<N9xn@)D2gtI5V}dE$u8om~s5V=Tkc9dEi%+ogD@5|93CCtN@^ltM?_A
zPX}Y?$pV9o8kj%Qe)wB4fVIVH#)Ea*XdxQp=F3*Ytp~2Zyq*W}AkxOKv51CK&y#;D
zS1KdRJ8MSzI6&3ObW?7>7J56{YmsBgI4G#C%nb(!iCFj<uBnB@$2y;DwvtdcisHG=
z9^lv)@s1`hDtgbI+Rr&DkDqO3PfW@KJliEyaxsyDV+wTn^}h*N*=ud&@|*`gq@wFJ
zk2O(l^QV7qnR2KZFFP5s=nF>0T}Ex48hEV9s^e;iEDmkFbpPmUTd?oXmV4l*j(SoD
zSKR88##pa={WlzJ!CFWvK(tpCf7|a6H`pqL?nho(U3qQ;q5>8J6Gv5W|A^>PLl;TB
z9n;qRi)jOQ+l4!)EtK&TO~$9_hy;3O_1Sk9Sp&1)@$hdECETKX?EZ0a3B21Ia^a+k
zHRNx~A(##;VjQKVPVu8S#)S&jcAc;So>JWYW5XmAstOU79TdmlXAb_Sgsot(czN^&
zF%l-6zPYrIDS@}Ic|L*zmaxjbJ+#?I0Zmr6w6xuoz@_;G8+ZJ%fCvYQ@x63;JlEm<
zvO7Q$_piJ#c6_%5$mGrLzqH8J;wOFU2RKsb$S7n?OmKnERX>stOT_NL8vA69G%kM}
z<o<6j7p8%>FH(_+^a~NcHP*>s)Q!5Kem*X&Tys>P&_F;9f%|S7R?4FPh9z^t>E>{N
zlNsfhO~5n$rzOQi<Z!m-Yt~scbLdzQm<)|2Ai07ztX(gMO5gjqpYL&Cqd@;)%WeW5
zG)@scd6|IxNx_Yp?i{EzJQF{iK)||mmjLf$M0`Lo*>n3R8{}l?KdvbzVC_WSiffBG
z-Mecgz5OH`4u&NNAMPSxFzH5jYk~qMX}x8PTC)Lvx?E5;CgL?#^svVT5<b|bmE=Fd
z0#0Ud+LufsmfEY_POV++eZlpiDTOR}c4SGz84-Cr8ang+pMVl_hpSc$2D8Bbmz=sv
zraUgwI@Bw^N*Q}b`JDv~Sx|lb_UAQ*i#}_2=CWj|3bu=9j0MdyVV8|*mE~6j+~c}t
zT2EIE1(o*jZnrYQW<LG$!>c5`T_S$e_pUll@97duf5-&l%*6Q9{fa0$c3qaDqlpS@
z=cmfAGC@u9fT=+U8TGj8?Ce=hEaxWaN}gvz+IC{&#~>x-^-gR(u-F%b!dZnL7nzW=
zytQU;j52B`xVBAHQZco{N+_&^36GMd@1~zu!Sx~u)W+Ld_)1mns$)G9#80e<*!oTt
z6WcjiF^e318W6~R_lF4uyEnNgD5|61zgYIr8Ew3&`grF6lLecC*HZ1bYhY<{^7or5
zIv5rF+jPqz78Jal?zp@~6W?Zr72b)Z<72Y?CgHCvpwrg;*r`duzC$O=0z(-nGJbJt
zg*zKejh5;?{!GEazw;isPP%9#u`V{NkqxJKpNpFoeL+TPTI+_g9<J<4as9H11IM((
zxi8oKpAY+vhIHuRh>2`)g@`$Xqzv+VE7R~)c*0Y+IDIUW$>$GP?3Ltfz0yyuG|aAk
z@ccTT0WNXdT<3b23*yWRar=|C@#J$tZ`%d~jImSfjPtU9fA5HoB+PWM!BOVffinj9
zy(=r<#>5g>TYd`KG%otWha}yp90Qa&v$MiX-U{MkpYRp=($QqTxF##y0LAazaSWcZ
zf*rfbHb39dQBGC=6hYho-<9fRukW&k18bhyd@*4l%}w^_i%5MmJKO8;P-z2Yqf1ls
zVi@>rs2YA<(?e(Bf(ZRATWIM#&)1g6z>hWFwyz3x@lNtO5u<fHXltFL;0*@quarwV
z7{@>dK0QLOFo46YSACnZ7&zY}w|vHcjt4m-&tz5sv@E6bX9P0vx#AOMDr%!?;_}&)
zOaR@38I0dD44e#b659ea{A44P?uY==#gUPu%XFMNwstG$Ar;SN=|8Rf2GH@~MT?yR
z9XH15k4NfL@Rp~^e}BdRVoHm$L!)$1S~HpXW2FX?Z<h3Jo&dOIof0zlR2%<r>&ry8
ztK!~0@x=rE04I8Ne4EE<c*6Ykkm&;@>@MHUDSrnbwz{&STWwJvbLsVFDdNR@)~}sQ
z0Msez%}mh3!qS@;yvG)Mxk;7;`Ou=@-K~-+@TcO2cxEPhlz=vsCC-mr0Pteh-%tA}
zD3}pyyxmL=R|-~tyCDq_**y}?$kxQaj*Q;y2pN==FY0}Ko(FGk3jO*Sqk%efuerg$
zk~p14>C%?v!Fa^$hT{!tcq;D#>&mP+w)-*bKOMA%yK{z1SF%;{w)w2d=*}hh@WJTC
zmqRwN*L`6swNx3+V$8es-NbN+N{~$Ru>rmsWzpx0z20eull!KlqIh5A_vZu8ts%Bm
ztm4UnBA)WC<u=NQ;=D4y+e5lF91O79U(!gz{CN(|;)e*v1l|F~Q&x~*_I!}{bdhU=
zo7Wl6ieRMW(?p;7#r-VKjx4N_N9EFrK@E3N9C~jY$-mta9u~}|JnJLklnu%FNRueS
z<z=@rzFI(Z^tl|OE)hH1?ro_}5JQtg<iCE4``=}y_)O*)0ZaI+wEZ?LLH@rhhws;O
zA$CQn+sK?8I{uBiowHFKvuE+;Cr2)f)$6l9oRGudAnD2HM<s9|O=z>!OLHj6EBi5K
zDTjrB+Q#0zlEl_$Ezt+v%)$Ms`-*k*vS|26qT!&CG=>F`R)w~4U_rdK-tL1e+PmyU
z!+SFLi&IFS3FN@Li-e%A*Rtr+6l)N0Ll&!JUeD~BWW(=08@8o3%i^<!*O!(ZmqU3=
zxloyOHi(CZR9*Wei~SA%wduqW7H4G}$t~tp3xRL_cPVl>T@DXV93WzoPsq!f1{OpV
zo$hhpB8T0_-wJ3ia(&f3MtgiT3$lkCEsd+?usG*=+tpG9)W3P<;w2gjmJffN)HWmF
zox9|+cS9sh&T2h;;v*BB34KjU4+tnUc2Z*xhm7k&9>%^t$AtC&T;oOEh*<DDq`>Q}
z5_UE(O?$td39BQzXJ@B~Sf;x{Lvo1<cKfqcJ@l9`JKQLs@K7F8+bat-PN|}2&H(2V
z9}_mRBJCqn6!687TYK6})X`>ZT_U&347SKtq%tE(Xw6x|(EXu-L49BPI1Of?xVd6m
z^mavj-*|7#_q`_m_n;>FNtGES94y;y8&AflViMQ6mVzy<r%NBaFawi%`MZ1bmGFBF
z>u>&ZDyptfxn<gJ2G=(2a_Ii7j3$GW`V|#gsN(CF2$N=zqE=`osHciT=>roLwKTLF
zQE{5nVuHi9HWDFK4OOjI1r0ZAW4fe<eZpoYeAL-xJv5_^{?cCamWw%h16A_B?ouZF
z_~w>1W2=eIG>J3YMi%q0Xwwq15(_rSD%nVgQt<VW&dn#L7^pMqJUg1X=sR-$>uXyn
zSdf~SDLSc(LQ&;u{Az6QDK<C~Q%FUhbKd*nd-Tx$SL^7payIlBkN*?euZ8eS*>dK&
zK8hR1l)6W8;J>NB>yvIY9Dle_IDfzZw-A?QpS3gxYkn(*5LInFf3)c4ePu%|Sl{e6
zCC>#V-3Tqh4{cnwX6O?$!w@YWpPzAD;6k1AiZ2`Tbx<>JgX*^?L(H*1Y<qgj0)&rm
z4&CKN$7==D^w*t+_(V}PS@Mr1OcFdRT*v5G{cH7M{riUaGn&(`K5GU3p8tgV_cD+r
z8dmn+$q*&p%3ew4vw_#I_#}4sG7zK|s5kQrFkaQzB5mFVY?87r?&Ij<=#9p$A0F$Y
z{CFSFY}6Lk5h8_&A-dT9<6$2uTMwVOSp3R)%Y)bFo|-7{(#5rY5@IKo>0&b7Sh&~~
zz~1&yo5y-x9K3b!U4AtkKm8EAvhoT*y<-49hN6pJKXvl=QFZWp{4M3FUH~1#iO=h*
z8F;1slB-`B4FkxbMjKV^AhQm~+LkfUEyD9H-wi6-Pf{0zZ0*1;JUO$tfQ}1y(w=@F
z&_str0~h%{?7(>ZXu_tSI`~dhKb#b%jxUInb`pzvlxvkNLsbWVL-!gJ0~OQ|?<4#0
z?BLGNLGdIDZFEqxt*+H3<K`UtgB=t*xNaFQz;ULb&HST7rGW}~;M>G{oj(9k7oul=
zcxa(z$r~g7K>}8HHpmB50i<mn6H{14#X*i0*`Pue7kj4F^icrfrQGpBFA91$?c1>8
zg%s+D+JsgDfU4BsD-B;wT(CMf*l|r99mxwKcSd+1=2ei|@k$+?>OBs!6~yp*_U|%3
zZyr=x+kO_FP{mD0{PIbXBIvX#c-g;FTNrrR6i8vKpxkkNjgkXGm=H&syGU5<eFYx=
z$1;_$BFKMTqQ4-nG+lLUBEkmJ?Bs0=#mIOyT=fz=PXHHQ-`lXd-Wt{z{V1X4k#ILp
z+MtsofaF62>t=>EH0*b<9`shgv+4&!l9UASv~y6pMY0v7=7g8|=*eT+U%h=EHUdaB
zn+q}+w1k?zx+Z%KB7Xi*v+rb%0G{(4R;77Z!WCW90xpw)1J&;%26P0GVB32<?vVw2
z^}nhf9xR7#oA-1XcM76KD)DKomIXMLJaHc=mBqbpHs)_D7s5GTDdV-LxnSU_*_*2=
zi?%zQ_B|>WM#Fz!1Z_pR&~hiEymEyMUf8ucn)yWpPxexNt~zKA`hsEQI+@bwZS+#S
zOGyk1Oj+BW%y3{S`(m(>;G#a_VwVxM1S5?91e}iJz!vui&8h+^w9aiFeby_EkL(OJ
zg#<X@k}}ma9W8}Y0^5%ri;+Yu?zJ#WW5WmYJqFrQQkeTUFDa8MjX&D8r=3*TaI-c_
zzd2h9&#GN$7#Whmgqqp+`~G7=&u9p>sb2~Ox7Mpk49X&L%IfQ!6AR=V%bs#JN#m4N
zm{0JC96s2(Mp&_*3I78C0RR6Cmv=nZ-xtU2z4zXH@cH2LvG@B}kqTclkQG8oLsZHr
zA{j|m5=v1j`Dw_g&q1O>R%N6}6eU6-qo2R-<GvpEaqfMbbI*O<=R$FX#%@M_RQTs@
z%+4Z=%sHDX1k?2(K1sHBxQ!og+6A(6Qbe$6OPR<fV?9twGq7m)5<pLOt+I>3qPYJX
zlepBBE>tvLNa~poz$;X>xQ-ezluIdTV=C1JtEZ)Lx6cZq!Gj!^FR~JNd3oJEDL@x^
zS6k9EjfHTxtn$9;0!eH+yuIIovY|7II}ZL6LR!iAyHOo!4E6hA@_vm5(V0GMUx$Q|
z(W`bMbyx;(XUk5D4bVW+eMDZaLj+Y1@g+vwkVA6J-eUvLXkeIV@NK+T6s1(%_XJog
z;Fg%_G?6MA{4Uh_a(Pw^d2>k;@`NIyd}reOdo<X~7$+U4EP>{0dgOI`CB(fudmU?O
zaB5Ug@9};~6k_$Y(%-F&ws(&!Rrb<g&nagia=R1;#u@mWiB`ech?#Tl>omyR{CMoN
zl?=MPN*tBHri#0B5;qr_>O${zMnA@OS>(@|gX<k?NF0qiG?StW3l|d;qxZ>g%;g)t
ztdg*@@Wqwu)4Fgw$DcnhT>*W9yykvsYT)~}GMmM{dNB1iAh!R2B4!&aa?H7EqG#By
zwZDJ#fGhk7SBSe3p5AwMOyM9Iy*{&^K2W3&9J*{yW`r^x7~k@?>o^5p2P@Hwy$v8~
zKd)OmSp|iu^Os{ow9xgeuBfxVA&CCd_#`B*iibsRK3Or)#<Nxtk75;#Kwx&bB4JGx
zD+B_wAM|VEcOAa-uFA%6^pi)q_>dYFQWYQYI_ThP$%O2zp$Y7ZvvK#nL&8HwIhTH%
z)WIR9aK*4)rf}~?ZgozmI=;!vny@*bgL}AZi<-}v!8SYnlfwcU$fC2HR4=B3LQK-f
zR_>bvv-iCT|3VFnJUPGS6se8L3I`eN2P{BPWv!%$T@!0JJBYnKr-c)m%V8dimN0TA
z^M55ynz)S(lRVrhm{E4SJdhEf(Ul|FAzTx~gll~aK5Amx;ADh#G=Pp*qIY7TCK7X>
zWd?OLuzR~^yUG|qs>q1ZDXJ#MT%8Ye+D<|yo@=woCRSkZ8ai(GXy6xr7q*bys<=~I
zpsn(x70420tOHv$@TN-Du|YRw{8(L5QG3e@EJvkM1+J^3yf}}#v7;hJRJ`7K3$1`X
z=m0~|I}(~K@`v#h$YH2K)0F*lD==9tS+D=8hJTvK4u9WBVJ6MFT;P!vl*d@*o}E=i
znU3Ba{F}v*Fm8%j&bETt<muB9qbkUP7fZQ>MbM4x(`~=k3RH|U)Ad`GvGZG$SiYek
zj>q*K@h4k>cY3OYNx2dh+)-XXe2^E<hP4tmCjjn?v42iXQbaRp7sW9OCoVqhn%`Og
zV4W-PpBB2&KkJf@^@~|iUeWXGE(ZWUp@m-CTXNWEL#jMd&x9|e%%r)-324Y#G5nMz
zg9ndCJuir0KqUbg%T#>=c-9)0zU4{bS%G_JRt~PwFA84#opst0!fHz!RqG{CC{44s
zVfHUQKG!slq0<7GcJ%fc{}V%s-&dRb&CB$V_4yb(X$yFp-m2ObB#Jk`csHNgy+rpG
z_FatHXAZN1Yf9H=gz-(===ePE65XtE>8)>r8SrjxEFLQq!g8_YpV@Xx^r08^ahZZ<
z5Y5lVCUamTFHeRT41O-rId+(j?B8b!Z_M^x4fhqmX{}RZ6Tg?~yq}TBxYY#ybJ9BE
zH_nIt3whlG+g9j%q!{kWs++)Q-33;rExf4vSUp2|YL&j3>Gd9ybYsXCJ>C5L2RD}Y
zY!;4dT&Itf<ir&IF@pIDAJ42-E>z0c?V7Nc0WXrhwzviw!CGg|%&vY;RBOy&SWIBV
zs$OspcxMRD<xFlW$#CM%f9BtcYnbq1Wkt*Tt%k6T!uyVt$$<+8-K4r0SdhhfaZ_!p
z0r0iib$+06;1@|!!+Bp;yq<n8Sj64{?y<5ptgN$RL=<m+SRWf&87a3fztV?5O2_Hc
z-|VQPa<cED9|z8xN1DXB=|hQPFT)pM4s6#@$xdhG!e@KNvv5QYE^fZzRke!)olSd`
zTw1ts>+y_FBS-YW$&YkprilalSl^n-UFSu!z%2pXTpPNs71zRloVbu#|0SV_9~V|?
z-yJQ}1^(vON&Xvg?}+)9-uNhhul@R7>~_!vKFj=Hn!{Yk;Nm;`fI$c!+?!P5pQS<R
za9U5s05{g1zj61Up)j&u<z64ZN`uvuoiyPU9;|vRdQl}o1hX7T$y;1$&?0S<5pT_h
z4IXEiS|&tM@nwN=11}BSK8tn_Rq-R^*=r8*0phqv_m%m}E-Ea0q(<E@6+pM37sX%y
zN+2WOSqAAsDj2h5%+@3bV&ng$P93V0LM6k{@rXlI2z=q!<#<8}Lq_I_fH)Z(K1^Gy
zcA~-^`2dQ+Sz#=bs?2T)mqQ*0tBQ9<R0s)<(zUxKf_KXXn~N<K@TvN**>wsPsH*9g
zi7`>Eew}X@vt1FJUT@Vos6&P9qi%&ghT`bMnby*9QVB`_MZe7eDu`Xu<VY%&K-Z5v
z4G*i7F>m@>-Zy_Llz#g5y<9^I#jk&4F_>3D<FV8*QVtc4HE72gyp%?bo`&>bD>bz7
z_Kp_#Km~>yKYr0q%VM^M1yf}{35y!Hu$?fbL7z>#`Zia2oIBAq81q{lD_xUSjPBB)
zzpdN8pilu{oeLvdxM^b1n1&*ci7s5TmWWxstcX1+M62>$GS0sL7n?ky3q@%r=Q4|x
zkfE-=L3NpeW$_EcqosPV^X2(ajyuZu!}(XmG))_e9#}WMNzjLdYZre;)T&_o@c5IT
zTXirqsn%^<ya6N{oh{aHRmGQ2>bAa?r{Yle>E@t(L*RNL8oB&N4f*CcYTV+e=<ue6
zYvrX8q%}9+Yw0B6(de*4zH}-UWIgzqEocJv?1zQfo~dJyPG`i~K`IJ#BpAa+zh~uW
z2iD|ipa)~(C82gIUgx;4cdo+>)FLm@innWG(qxgznM^9Cr{yqY>si2=#A9B$zci8g
z-%gg_svG-mc@P$U$rAi+;v+|c$XK>XZnwIm4o*jZJbq$~fG@L8-81izah&zma8bGz
zo_Qsc!<-I~axL3)=s6i(q(_`ySCdie7N0wdxD`-BH|0j$CZqlJ21Vao4YWPB!tg28
z3SMhWsn>gw@jz>Sx7TJ8iUmFDDEnpw_l+*r4i9Leb+beHn~y5^-tNYxT(UL%%F3F4
zuAzyvrr=JWeM;yaVjZgDZVjw2h}lUe4IHeLJAP$N9)E7lzqYi;8nErpDyOqLY8L+3
z8S5d9wxyjH8$GO{-}`DpE0u)o>+uJ3n8nf2P>{4}Y7Jk<GIVWLRIzAb+<%2%7_X_{
zdy~a!4Kb%3dukr3;Ei+lw+o2#qsV2x{cUYlFn#G{pJK2w%DdF}6fbe0Pwmy6Z5zI+
zY8QHJNmL2z=1bf3T9`3UuB+&RsukqyT_LZuDxibx`COlG>-0jOJxXnD0PAWBc4{p0
z=qu=IaQDX|y*d0}T}?2+uan-7(lcc+?_=wt*P%K3hnwkiGZp~OLyOOkn@J%TdQK~4
z{-DR4tJS_j5O6KVh$Ed-0-bD!vePmq=r5BW3P>HZgvW$v+}xTd7BwmG`JVkucQhOP
zP*7z7&voRx5~W1&N<wceU3r9ldt34m`)PBSpAl$a_Y*=P<wJ`SRv+nin0}r9s$~x9
z+GK98P652>tiR)F)JOVfUK8V`BWAEQ(x+p`OFkSNB*<^fN9c>o8<(ZQ6pn^pmbI|q
z!A`E#3X4CZ^v&<p5`4K$!IQ__c7crx`6BXf*jjy|4>kYZ@xjLg{&2HIr3i3fkL?)K
zzx4@v(h9c)rN$V()u#wHd$D1a#7DZZ_!Paxv|hwa#25;Xk}|h_VZmo)PxZoM)AW@S
z6=O4zMo^@>*Xq+vX5>}xyc>}+OMem3Nuqu*1StvA6}Lhr)SY2UlGw;6PgNGz=S_wX
zED}52*vyD!OzhSQ2Nvi_X)7<M9~nTc^1ixr5{wuj6ssH)_lNE;x^&r6!vL1Dg+F=a
zG2lN(#(_iSOLUnwF=}&(K4eHJcx|>|K+)$?PCF<5(uXP<<ich2;gP}Lkf-bn_;3%y
z>uAe0dhGc&DZ@fN(2Uk!V4wU)U%VZCX101`JTPG?rl1EJoTV9Uj11^o_h9QYWk$SQ
z?&-;QOBcrYJ;p_}8E`ZrWrt-v6CS8^+ODjx3r<wcNvGos7%W;i6ZVT4=RY}C`#z_E
zU5O0k@h1lC=YLSUe1aACbn5B#?V`b3Vh?3BfDxaaQcZp<!;W}6t33Y~6~60IFVwLx
z;r)GueX7G87;^sSWP8SjkFZ1@h;3rR!1^sJ4$rudiOW-{fJ%km=ajJKDl^_X=-lw8
znFp^t`|vWjQU{WK7QS2Lv0&$QGLiU;4_&rX*dMX#fV+6Nk8Tw!j#$_<-M=Y-K?@e|
zo&;+{Fn@&7`Xn1x-X8z=d`b{c=|4=Sz14z7XCq_hO&sVB7Y=DU3ZsKjyEKcl7To^3
z5+~Zqi3tTyk4wA|L5{F+KkIiCz@2RGW5c;oY-r#_m!B9O+`s)JZ9fIRo|9pov*g7k
zA6<@1G7>mncP`feN<g*0O^5=MHSr_tX8gFPakEv{iX{5?mn7_eMTT|<N8!e50j$(H
zq4VjVH0lR_ZOF(a1NEomvEmUybWpYZ<3g6h2=disr4wZEy>78`NnIF&yYH!26AHMg
zQ-F2uC>iY1{}}V7iQw)6+Ss{RMSQvW@lmaGGDNq$SqkM5Lj|#z(5*d6I2_!0C8~uC
z;oVcAA1cI=a_E~;v8f6Mg~d30R-}MJBGr6%h$LnePqf88Rz=BoMvjYR6ksv>SC?QX
zjhdC`6Gd!ExGkhZ>ZXSl=z6b8?YEZ2G#j4BaU<%;aB|&IhtP)k2I{`kKJus}LHc<)
zSrdEhqKi1abzn{BzeG~I0-A+{y?LTXL5*GhGA_F}{5|sZo$G%TQDx8Jqeq6dFzZfS
zMgo}zU!G@MKBXw*6ek?qzrjHwtIScG<a9xp{%GW3m<m>BvbiXnrsCVhOJ3rJdN3i}
znmu%1b%Td}C^ot@Jj-Kfd@MpAz8dpBj$2T}_mLKk=U&n<?%$p2l(z;D`&eY(Cp~qX
ztJM~+wbaGskGUGv9!3zUX!lAhSOa$%NyhI>(M9vFBbufw#<1&HzI|1aCX!6mEVHla
zqOq#ueW3@YFrS{?znntG?iACkZSfoH@B3#wKV}Xk-8GY&LMT|D$uU)|po<iv-!r8a
zmXP_U{pym07P1+=<aCdx;cCI_Q|^ld%oTXEs%LBA$ZtQN+!89<2xm7szXljg8_cum
z)k3Y<d8Yy%9h5VFGux761=bx#Y&W{KaG!mr5Zh4-&aJv-z9Lz}r=mv=%o~2`Ub1cd
zVTJ}4#!B>u+_r}9ZI<7fShdixzl}-zxEg+2KU24l!v>!0s!{oENkQKqveJ#)l(Ab&
z$|T#y27V~|98$9+W2wB-;qPPxd|-b0MzNO-WXUr)&v0qtQl}%GbC(qEpK@JVceR0c
z+WMBhmFl?DE?QQ+MFdT^OspN&vH_RVOM}~WNjP`RsC?`=KVE(1=#V^P4Q~I`d_I+^
zZg6@m<B4K6+>!dzO0LKnE?dc^-DFn52!DnI1@U$I-7kx`RxGSRF5QhOK0pb(x)_+R
zAO1xTQ1A|l?zIB-mW!6^Z3<ZZX>$C2#Roch+1uP}j}>rN(jpWN$zlAX{}EcpD+yMI
z7>BB906lKw;CqLp(QV(EyRGFPh#n=zKf}iW_6lzszj0Xtm$RSj)js}}_y!HTDwqHY
zf}0<E&WhsJ!u&HLL(@dnONG)~as<dpc`gVZ7sh<wJps9EvqX(bd#C3{eH-%6raS2h
z;+(9cP`c_I(bZ>N8MMa&dhZ%bIa~7KSEuhI@ABq|@MrsO*k_mnj?{N*oaDmW-Uj<?
z<K_q`Wo1!sG=mRU)b@snv*Vff+c)Ph&Jq4E_*@tMnu4>#>Uk+X7G(AwiQI4Yi`dK9
z>m6lg3VMai83#NVQMI8VKf`X8xMMzP8hFM8N`<!AT28Fd^&9vOmF@jWuv(F}hP^R{
zKPPMd3%tEdf6Ku%bc6JR(0aM&jFFNtu+;JV-8%D|ZW}b8r8+)IOtHCj9E&yrHyOtg
zt2=Y_TqUB`sp>1SvMuDo$a_Or6HdsJyFNn~dp8nwEN7gU{Ipa<F*StV$-TS0E2ijq
z3&|GJSI3B}m%`U&uNlC>&~{qA#{`|M%TRZ_eU!)tmAq3t24HV|P}H;VGri`>MUo+D
zgt+QeUMzM>A40U|(j@RBz0h(vS7`SzQ9ha&MxW6Gpgp;BO?`kav%^D4uW682ajkmo
z6s!lA<HzjM-23P`0f+Vt#P$=T*FO1{eAb1SJJ+sgYIM<mevdrbp7D-gwD`K5<*y4N
zTUXx&$iAe%=9{(S{@F)JTI~|!_(Frkf#o=sktVvFUcH%ielH=EdS~BQC=GVay=}fX
zSx3)dWM-;9*F*3fzL?B4PX&@ey6TI_|Iv#&`2M5TcN60kD(Qi7R5-FWdg7w{b$XON
z57T*aH$h1{{BwYh3Ib1sp7Gek&_$h#Qdr-05!Dr!5^h=Rz`+kB!goB2(6K&zAh4#3
zkegLEI(0xB3f_~|&TP3!925QX@mG5nall@EjI~G$+PR~!Q@D!w+L>mbCelr8J}}8C
z*GB=(^C#kLlpYa;+g7VPY2AcGUR-GrKLwbFl1|3_s3krh4b=_M?;+wN>{$a`$S`U-
zug#kJj7a~>o*c~GOHdLby6kf`Vf#Qs8T<K0Vm<GtJC9HwAx`*DXpU;Y{(kzg<&I_|
zZl@@(!{)cd&GAwH?^F#?E#)eDCG~<RShl4<s(wePZ(7I>J*y6zz-=bzL>n={zT%nh
z(ogW0KIBUNNCGb@hYqi~SA+~pmfa`SjXDaSOII@|!GWyHYCIVo#MP<&7bu1wi1D@O
zG)j>gfcd7Wy_#JFC;2V=@Y#>V<(Tb3F)V7pyTZAWQr=AnvF*_3Odla8jrdp@52^z5
zr>%2s*1g1+4-dcku8tC>w3_3^!z$23`%Jmd@Rq1*?(o{3Jw_NL3B0#<Q2}PB3<~$e
zJEHB)+wG&f#)<4Nk;3m^D8u&RU4{%x{lr3#-!FHkuS9aSmXV{CGJFj<?k8bBM97-A
zoVj~ql3?wdy_H5+f{*2Y+;=`1CX%`@lcPtz6LF7v&t9}rg7h0N*vd^th?uf_R;%ZJ
z5*j(j_?=r7Au}gsLcDI2@aLD?F8*|uaHYEI(_IuH^245ONBzf$Zx=qQ&UnueSEkvG
zM}`%kl4+z-N`IW#tirI{m%KnQ!^)XQ;R<m4jB~^%!>`0TTa%cT<{!d3^}p*5%nBgr
zA(td|aFS?l$YuHKyF_?w_F>y@Bo6~|i)A&RzY|h>Zw{UB`Ag`%teu`bC<mKv9cQx7
z|49_`D+m^!TO$&l)GA!Al7;^EoZ;lxvqZet{79!Q1FXdbeQH^j0m?(KrHc`BM2RWm
zyWyXVFy*F1n%}aaC;3t99Tte5hPZXMR%W<e-&ypkTpFsE1v{3U{}6cxC)=EQSRv9w
zTtt;m8ge^+{nwVUM3@UaVY3k90IvzYQIU8lpry8knRBlY;nlrA$Md;>Bvp59Ze0?T
z;=&28_BG;niR<()KVD#m<_G)JBtfE8&u`0q21shkE9*8D0L~^mz5-22$YiB8pO#?)
z`IH^H`)33p_l2FX;0Fm%3X-A7t}w%Fzk^<4k1*8H&hawekbtl&4yr3WY!H0^l5*iU
zQ8*H?D(;;m0eRzb`vZ4!z;j~}nInc0pq|I0F_SC-y0+K+ct*J3bXiN%50rv4MIob?
zD<!~NQ0O)HJzntb=f1a+CJTg(#>oW6jq^+QoZPoZ0CFVv@IH1{fL9Ni9=N4Q!gW<=
zD!;f8v|cs$bX`{j$7)h}q>B_t_DAT9EDA%}_gzA&eadj|%wJjW0BPV=wYUWwVsQNj
zh1IV|6=qa(GhTJcfQ?^>UC<T@sC-j>k60#wW~fvRYlR#HDjJu|KbL|_Qx*k<_L@+l
z9k~*JS^@rO$S~#|m4)R=n{B>z6i|QalS5fn1nuO4ZwuNAa7Q6&xNnON#DDJ|i*Hi~
z+WVoDLAoM5k`@b#Sf)Zni|$m%sw${4afHyrlmS)0s4M)Z3+LwrK3^(T2LZ>`1SYB~
zyiBrTtuNJs0b$~P^vjKZshCuk83zgeCtm%UJgyJVQU)G&9@l|U<xGQj)9SD~T&3X3
zW(bMJtJU>GG+5Z)E&TAkCWudmelz}U2oG+3pqX0hLr+-pskvGTaF_U<e{<CcgajrY
zr%o9{+)#e&_*rcbd;YrJ<+~Bw{Tpm!@X`eSeSe#8C`yIRjwXS@uZ&=9`O1x&*X9sD
z#&yH%6&1$nr~H1AjUetN!<VFf0_r^5v>P}0=34y!jx%x?LM@%4N-o3-noBOQ2i4G^
zk%@98+D{)st8Eix+pNL;dSg=mM;hoQg|Eh0>%#kbCO%lP0e{8C0`e;w7^W^Xsio<F
zLq%8?-@Gj><*Yw0I!1%3p}trbaZTWl;|wUgX$RX<7dq#@QK2t7fKT?23WUvEJK4jx
z3Eo|Q%wVHT1(whXq10!x;N1Oi(>>}Y5SbVwecG)JQYJ37*X@O2$WLTCRA>{pSTVLl
zsZ(Hgth^V~LuL?CRw?`W%nn}cqB7?^(|~v{44qvXBwUlPxs6-fLE-9=WnX;~d<ZP7
zB_%A-ZMR*JT&=K$-nyt8JFlvM`pMoOZ%tS+_R8+3`AoLp997r*AD0sFBsTHvdB%&C
z3;)ZMbh81rp8kv91?Ay0mzfWVPY7SN_gUwbT7wefrbD*&Qt)r@PPfeMB1l}V^IBW7
z0$1hSy_U_QAik>H=`<>ekF)Rm-n+vJezbDhtz-y7xMx+e#-JF+2_OA_@+pAr(f<i*
z`EY|w@n3J@Kyf_ns_r(V4N$}2v0rsF3p^j|`<Z%G9LK&zgnV%)z?c7V!u!W7M0Mis
zOAm_0vFY#d`_sOb;F0>fnIt_+?Akk=(;O>~1)M82GN&vc*3Vhx)tz_5WPSPJ2ae(h
z^UM#$Zkt1U@?sK8S_hr~k6OStesSD)DaE<>iy5@pg+ykPzR@R7n?D_TFNRi>Z(hAx
zX3!D*!qG5yo=y(#xlwsr3^jK|o@hQ}3eW4QPG4RB(hWMQd2gK;!>W<yf2Tj2Kthn)
z{;M<w>^c(Ra5Yv8UzKL2$Zs`)+2Ebqs%Dt5aAlLM{W&rGe0n1M!!u)eo=O6qgRJ;;
z&k}diM*R8mf;tsbWANS~Bx_&Cjv3yJuK8nP$R(0;CH1KhtoCd-Q61t$iL=g<wnpM;
z8jv^r!odjo?+!Ly9^^)Tcgcap8{+u9!iRQe$PhT!Tn@A&FN*Jr&iPD{KzVHkY4s>W
zsG^)btCYi!8lj%sS>H(DqcXh~I|)PB9Bsd#a$f*F14BMorb^=Qag&ouO$Km2&}665
zMM3=3Z+F7gUkdF5zY6?{Fn}Eex3`!^2%(&G)Y&N)X*A+2xw)ui04sYhJ?+^kjPk7_
zJb4~6=w+EwmocjkQEy8GxUEERDYo%PTeK|xugdX+Lc_*8aOF)rohpjw%`|FXK9Iws
z2YcAnFX}^ChNNw(x)?r)zh&9asDOv^Ivc5n^g*rlg!M}eaqMalcys%q0!D!u<*kQ4
zh`9+_UowzD$*+<Og@+Z<@F8*Jsgpho1PX@Jw@RXQ;?|GPjFfO!>5%?aXMLFQ&DHpD
zPzpu*g7%KHD&q%ZwZl|zeUNLe*3vANM*k!)wSqxq)LRiTH#)8l_4jO9at38^<}^c*
z@Iw{+t>__e=$byXfA!(2P?W>Srdno=OjW#OHoQM`Kp!rOm)d1S$m5}^D_b1)tKs!I
zk5n^71L*Iqz!Sj=_?~nxGu)1Z8Xf_hi^mOM-vyC-Y?6wYoqx$jMM53_-H(fv9W{V(
z^_Dc74n^#(&wLiU!S8YRwrRfcFoYnJyY#1Ll<+2*#;#GIfew1U>Z6|xVNX``RE?1`
zCeWXriv&$Pa;)q7>yt)si9csrV@eqxK6vUG-KmL9Uv8@vC>z7c)_3C1^Hgv_?6JHF
zLB<U6$nt@HW5`K39R9~b70-y&U+YOHW7pkMq0GxB5X3Tme|10=!%g`(S{{+nhRm67
z5MT-x48zGYA!_)t!TU4q0U6mp9&V}8H3J3V&b7g>YIwm#C5DthM$238?UGo`Vakbe
zbHI&+efM+hzABUP!~y$T6@BJ#I`qg1y$TX?rbfO|%+bWBLW8vLMHXN-<9t8%8wnro
zjjB=T*FeajdM^5GaJpiYG4iNmWrybB_cQ9K&U;DdiU0xI#k9RsMAh;C00030{}h*Z
zJk|df$8E~K_TKKbx!0b@NTE`pjEXOzGBZjUi6lECDzcK29hC<6L{Tb{os~*ONy}cp
z`}_O-e!M^Decqq*dcB_9WFw7%4@4|}I8*ws)(j%X@~GSlBqZqt?U$%m#PWDP=00(N
zYffRlChv$CV!=Gz>#KmRA5S_aI0007vWh;qK*WUp)hAy#<k7*j&q?MSz#T~uwIOLD
zDvInQ<=>V?g-af3Dn$T(%Kdz0rHZ&xd3903QU-4`d)?2g1!!qfo~_|h#FBckD|#=a
zP)%;N{pno*Igu>NChdDa&Nf8!%S)h%>A5WT3V?C$8r|>p^4P>Hd^hiwDDsKQa|PxA
z3<)xm=jY^*D0=x|x{EO0@+C!yhXXKpn%=yvAcqDQBMFw~g4j5(R{mfoz^O%HiOBu3
z7+iN;xyO?qw*~y2$)(-*vsL_BeS!>5P6v5NBLUO?1=k3_HiIpW0;JvdrSU7@=mA|9
zUKI6uGf?Mf1|KG&VzpliS8f)+&Q|3?t_5C4%YIY%bj0--X{RK<`!Vu?7{rCCKW^Ag
z*qcI&gGMVyuQ<*Z_yncRa-dK8IK#en6DV~0W;z@oh6nPjFUGxQ$4*(_M53Vyq#iJr
z<&qM`g>PdyZH(-g>?xR3Q)LX5ZKCx_--OY7Wk87|Wh(|-=Q(Xi8biF{!J4bDgz#B6
zQTVv)Rus4w|7ktb2riK|Q@LIWq7u9KM#S;0c;mxPiXV#+xQ{%Nw4W59)t`PRsc|dX
zs+h)nj536!&Xb@0_yzFdXwlCmGCTS_pCA7`ZvZz6BMr4^{rd4`+<ke19UXJRtjA9n
zKtuNwyM8Aho;Wg~!`H-t>o&$U%D?r2<B!~<e|CIWa^=WU!2?b#eDo_tG)y1#Uy!7q
zeIa0ipqb9x2p8_D*paueq6gzI?Wz~9643oke`GQ*56)k@w#;xr4{n#4-5NeZz|*3a
z6~~_QV7UBEx;Ozn&?!4q(_&4)Qo0WlsmZ*!>;9vF`xUy7b$IqBy%_;VZK|uo+zD7?
zW*#wRp$oq(OyxOu5zxy}zvG4#9}X5+=Q&U6z?B-$v_ruJR16K?a4_UYf{m`Mdx8!W
zH!m&5-6mjSWP#uZ5I|?0o<4gG9WahKupl!}z!@p->4(mOIPyNqG<iZB_VemG|8?TS
z-Y8Kek2oP5y4Niok*f_}M<;)`()yF)(~#oOB8<&_<4@8ZwLxyCA~3*#AI;@$IoUZy
zac26{mOY}{ka4O`b!?6w{WZO}d<_)CuiI{P+I^z{gZiv6OR)e7f0gZ%{Va|qH)DdO
zsT4RNdO7lgmmprs=1zR(FNyez)EHSrfe?{{MV>}N7#ga7Xd9C>iaa{sCYnrvKT!gP
zrxk^fW$nO<--tB6E$e#!@+<{<RGvg`$ctd22=mCU$1)hj_nP1990im;SSo9EMe*l!
z)K&2tvY1MEO@5t0fpZHFOk~`|&_#=%?S7^l&T>5_{H>$_o%N-o^_k-6==^5ta)Lbm
z%Ib`LF+c%h{$c&o!xFe|_33m+lmaq49pyCO)rQR7#>b7dq)?QZ?bl$KB2G`7&XPN*
z4aE~$s#SK<Sbxm6yz@8_!%r<r?P}5n(MMbk!%Q;B@y~IC$Bl$V#!uw;DeAzfkQ9@?
zRvDBVSGbvIu7rL2Zw=>^>%ft3CC@kGWzqC)eqN-AGMY{AHd8Xth2qH#{Qzq@d>VJs
z<>8nzKAU;wMIF<H9G@V`VODwkl60)?_C*yW?sbz-%hrP?F~j1@=koaXkcZnTepS@b
zIH7Lfq7O`}Jq_!$`%Ej{H`o`ciZ{-6U3#f%0L&Bj7|WCu@l5lJ)tU#YxZm<|$rW}(
z`1R+TC%jTbPr+l_CC^lG*G+<!!yiNNcVv`xbtB^Q=y@l-LRBnboO{VIW(2lF%d1g?
zL==8qnKo#yiZT__9Eu&ruzP9b{2^l!p5saXn^mKNSCaz!1}jY<=vs&ZeIf~azlM7s
znNr4;lV1gxE||j9`G~PEjU?>0A<XQVR>JlhEK0Zbm_hx&7Js#8B=ljZoBWST!Yrm&
z#3V+5_O4^L4Gkm=pYJ&v9!Nx$7bjfu_5r-uvBs|!Pr{hFpp#!W6tGZo@$E=9fPB)4
z9~u-A28OB~5ji7|w+&sMklO(aNq5}TpA*q%<nYd~)3RuEy2F`a8bHWPVA|J+h$sD;
zMTDGXu+V@f%xDe3>znNG>npVXVEsjHS-uozsjX(%)0xA?JI_80eNe!dr;q*yl#Amt
z#^M0U1%QtsoOVZr6!7|Da~b!z2=1hozaAS0@OZA`m;&-x9JsxXZkG^k?pMxkJO&7!
z7Bh15ki#&&u(g~Oe&q0c+{K##urKTTm)<k7sFLHbP3}7Z1vjhX>s<h5`>P}xvt{t0
zWJ&&hX<odQHErfE0pO4bhrDZ~F>Z+Nhc1O1Kk@D>3V2`!1!NtOL0a9m%o*p&6&#p8
zHplr~#SBEB_K7!5OJIVc-B#!Pt;k3J$VT&;De#B1r{1>}$Fu(=epS$I!CPxwLsd+s
zu+S=xrmdnVS?Ic^|CSXEuTL_5^)~_Wsw~-``$Vw0qdEHd8Veps(RP78V-WrBWm>)=
zgpM$^V0@MZ{lbIohK!6MJ=9J5M!O(>VN*^N+{J?1#ou;ZE;9mit$o(nl>(UCbyz9u
z5DUI>34X1~Z3F_>C#q|!`BBjKSIxw278Ige_cNmTLXFqy#dojyaEDD&7@5S1!VD{4
zlztdM&g<SU>1=#h8+bpsy`L5NKe*m=aW??NfrPha9t3QcdR+RxiVZ(8_(uy3=!3Ca
zc%wuwFP;n=(J8Cgf_z7m*vt0l1E;IiRyz+~OqTXtGk&=hciHaq)qkr8FB$WdCs}y0
zOy;^}#ug5giD@Bk*{260?X6c=XnyeSZ$cOx<3z@?h2u8Ey0Cchs@>xP9{l{N`fUDJ
zF0>J-e5C5F3(tO7i5^JiLAkWZArlK8bnmSRo1WK!{lzaz1k-uYEy_<qoc6wHg;5TV
zQgq<L{?$6yTRd1MOt<X?C(VBpG6)}NI>QvQJ+iQ$2Y>B>;@9kacwy4wPicoX^jw;)
zjS%L=Yo<OOeWLuBFkMb|4Ah2b?aJ)@AYKf9^~S8sNC5A5oKLeC(+0nIQLVoByyz|$
zJ;)Ixh^@Pa8rHffux=_{$>vJHOal?0&-a9|N2sZ*JBb3ne#bQE%o6Z|;GQeXJR<1!
zYRjhmP736I+b`*t!-tkzEB<3WCyE`<*L%2xC@>VG9M@sbk82<LD#}^J@gn2Ls|_<`
z5E9aO6(S{oVjbiTlTrzsQYU0Dc922F_-1h)qaZGfkX>gTr0_z-freYPWcd0}H_UBK
z5bsV`^EIbQ<Jr?q3uUEbu>I7=)xSj;cPstq5s8w)@RT!ipGwG(S^eCfUR4A$5<3(9
z!elY2Lw=864H<m=c<{cbC^CMP&3_OshnDXS3hsSLhJS5GPF=1R!;C-a<yT_lv90FS
z?7hEaAbTH$MRo~<Z+?GN(iCu;x1>{xIt8+WZAC_-BvJ2oK<7rGB6@gBvn54Rpj_hm
zgZ>REeDSY;Zmo`psv}e#*%1mjaqaxF)FF*0bJf28U*A&MXCy**YlF1c5W~A%8JtjN
z%B+2^ggzCNNwooO(Cylt<a}HfqnL>WRV~UWokhyO7or0Zr=ktgK@RDy!W#n1R50n=
z#r=%(x}b69%S}!pnqOSBI}#eKiU}#|>`BwQutUi`lJ&bh7N)*A_)1I-E3IO#@we*1
zbbqM)wucJX!*_SLYmpj0<hzr1uTmerIk?-BV-)f8M5VgwKQ;U$5*J!=!vHSzd&U3M
zA);pG;LI4GIyTVdsP8K`1bx>G)}y0D?6kSRhkscO<>pgbjcSeH_fL*<X9GwWYnn`0
zqMaXUDD#5y&=|r$h0<$Jk?=}%h07flHS7=DvnRa81h#d?&h(in;f?0V%~Ca0d|=Ic
z`dgDJsLq~t(><evAAh<#Obe;tmzrY+A*E(8e>45=r%Wa6Z4mq=`br7$%7t-SIUtzy
zpQ>Gg5^6~a-7&Byp|IdyUP>-NNb;w_F$X35xt8i-UZaS_l@RIPNt%Afy0S=bkZ`a2
z54w!M^4Pq^>5!<nIfUB&-n^AS!rI68PARF#VZ-h8Tw5!1c(UF8-PTzmPQ8*Dr2kI_
zJ6{Z5adI^Wo33L@5A}#R`{$C$Igr8+fv2>)51YfT4_#m19#h25KilKHr^HZs>ZQ-{
zK66+q?sS?=RKTMjs}rB2F#6o9xV@}r4*o1=B2RMVvFbWzJRcXptrk<?Hn`0pD<!E-
zJ6{f4%)Xi>Z|6g^!To;2qX4{PbZ_Rb%HoV=liR6H9;93;9f~RjP&iYa;hZOfYCZ+6
zJGr^AWtEuGaS(tlk>Tu)JZT(PDehi<vK0@{?O;2>2Qcbr<@%qY6sp^-)>Y84q0;D@
z(MF0H+><oQm^vVVniZ_yWV)GAY{KDE+;>w*EPH7FIz<e{3OKutOEF=?(`Wo8+fAXL
zrcRHBMG&mC=<iQ5;EZ$GQH4?ykiO@@eAr4D$<1Y#q_#3(Q{SH>XV;8j^82qx$!`R)
z!B|4pB$XbI{qgU7d%zfcK1e1yo)kcf^Qo)n4$@=Fl)wLcqY?bKt=(J0j31S|4>ZIC
z(_;qt(Tl76Mv%Fp-^)Sb!^wr%H;hzz<a>SUnDHq?$YgofeM*ynw_d4gs{;dGX<ctM
z9y5Sx{oesK2YAtHf7C6nSqA*Nzc})vwE-kq^9D81bbFN0Z)o+D5ySmG$wwOXA@*3;
z$ov{NdM#GY<UC-)T>ZCmKNR%g+)J;e%tbCdnXcfW_=Xt^UR$3m&Zo_nc+}^Qid=X!
zxKr-YCJUbF`hL5R#tRvuWwtpNIZ-_=uIKA6TAw+rO;~btLGdm5$_Y_UB#%ovGCtUX
zUp8l_76f&H*U7&z^gRdG>4raLGGfQUkXI7fg*sp`QlkB;odXvIxx_<g>%GT|8tGMZ
z;9x5?^XnJ~GVqvh+U9a$O7wQUpeNd3$syh!Dana}Ld{I8dOXOOcXJ1~gEpi#txKOv
z<V4F2w&6T&UQD>-wJI@30ZPhYA3b3%d@!2Lv2IR4hRj#`lb0w^r<t4}-_3<5rkYEw
z|Kr2lo<Ng3`n3K16AXk}ZglAp%)OD#k4be>T7zH6@QIyx_q;0)Hs=R>?Rrn+Jd4w#
zefeZ4r(DS={^mg@rOS6?bcOI`c-9$dXEN04L_5~x^P;BLZ28d&Vbmgul-P)qA=u$n
zn;*@O2D1(KD{6~knr0g1-#0DjkF(c)rpAZG<$OccgJKxsO|gI9q6KNnC-)Eq`EjpB
z^?{Zg3A}kphQF&&3wp^3-E1_jY`eNOt<z5m@9{6mJx<bs#Blb4L82gvv-rjb(el))
z%+}&tv05N*RV(y&uMpzanTe+jGT6qJez@_x796#)cPz{jMut4!y*r=F;xJ`lNi0tb
zxOO!5|C$y-WoqXM!H;t2ka@sF^Pv`ujJMZ4J0OOu2NPOvvnil|yl$w|4=wO7lNl@-
z5y#0Oex`rAig-+p{`HC$8E(ByO)U?T#JIXsIeIki2$@LUmXSh+_Im?G_j#o8OysP`
zw?Y#3Jm-Uu6*BzUm#4BcCyhsZ%pP3pR>C&3RIv#fPc>z)Mc*Hwaf-W-%%5dtynEi#
zyH{KrzW??Gxi(qkZMAXFr*VX^4&#Nn9&O03eR62wt{e)+$9p)5s3FtAiG+PcI>2y2
zn{woaJRWlAzRE?Xj?Cvmd_vCa!V_1AYT--;l=)coK@8P#k9^M4zi0JeZS#JVL4+b2
zw@H0W-J^kVvmy28GxVXX>w3`%M<ROW7?l*=*1*|)9u8P*0NhEICTub!6sL?9??Dah
zPGD4&88w8fzsBX5hDn$^o;b33NdvzPOjWXR8-sC>FYm!qO4u_P+bAxmfdiX_x=C{r
z@Mm(_M_yDyu58^C&v&WgaNunQj{sA+nIPmU?5K<+pLg3V4b-rHa@U2?Br`C|zryd7
ztc+(qI%)14Q$agA>cdal0iN>77!vc8k=Qdiv1G1{jSF@k2~PluT!Z(nMJVIo_wgE^
z5E9DhlqDxfn#0_seb+8)DC3pt&n;V{6w#MTWTy)-hmTwzKM6chqRoTRgBJnvcujh7
zRIc0{h>?aO3(`txY<ZqEvtJfPv-u>WUz&qu*~q2I|410|QSP{~wKVQv)?+?1NIO4A
z-!vwkh{cXN@xL#L<2&iD?%h4+a8*xNotUDCrhQz-%<qIzq@>`&t0r?ezj?5?I7R_o
zCn~h{Jp|A?Gia~!C3Eoou^8LsC6E7n|9iD;O~BM`g|=fZ=FoLR)iQ{dE6Vt@9rQ%F
z(fQoOj{k(s;f_<y@h>8>I5@|t+V8y;w=Wj?igW?2xXua^=A}`_l`DNEhz0#^b?3CB
z0j!cgI(Sq`VX&W%o2EJ={+L`!C?W!+2VK@JIVXWS2V#eWvgz>b)Oh{B>t?V+F3-6<
zNDSNLiv9jbtW!O0xRUgzO+oPUbHeBu5fq&{DJ3ntLj9W-*Q7=<g?c95^6+vYEYI<O
zAj!K#rQ3eyaa6Pkya}#6o$*fqHLK)*v~(^|FYkQy%loA<+^juv&B=!!1&jtnOtcoL
zq)OJaeL}`yt0C;8vPM9u+|M4PN(<C;>$)t#$Bcl{WmEdyJzhKzn-)*LzCazByJb<;
zVhB&BWPhe+@u1*=N-#LJNPS~>*J?n>5Z)->i;k1!#{8E0AG)`es5b9^=u3qgfHGfO
zvf_W7c<n(~ajMh`HC1%^cNvX4D*9BeuZ^*z+m=<%@cvb5*!k|*2xEO{AG)~x-Q}(5
zcB)w739eHECHIhTl<UC<zJiE=ge~YAT%Zs>vPm5`A#GQt`3Q69e}=az*pSKg`HNv5
zdc6M2v4QuZE)12?Uyt2n#V!8r`ei#9@MW9}@$jY&tYuaflh3naP#2S8TMi?N(f_<E
z7^wp#4R600=&&N*()gS(&xCbbmZP_=YD3jx*x$oEtax`Gu6O#eVAchTj^(r3@W(hH
z@-ZJPiltAw%q+1YRV86)`xb3*DO1jEHep4zGmWda3b$YsgGZ2U9tCuL%~_SwSaG4=
z0A<|SG0|@Ix|}iv9Qz1rLiB97%c!#ZnK37}mNt*CKP7|GrhMQ06*lA#)ONHm<i>%2
z-|RTu$q*=WTq(hE3pQOIy=PI)gQ85LjG6Rgs5l}%*GJikIq#AmICk?Q2}qCoDzqT`
zK`x`Y9y`v24h$`_@}YBLR3_P33j~VXbOPKtXgPIhW7vrw3878|0ZuKbJ2GGk)tq>{
zNjb3gu>f9mF^gV)p$Vt^2f4;&xY55UWv8-{5c>ZZw+u<u1Pi}^oO|4P(3@{@X0Bft
zk0<6lQF7LVSjL6;3l_Y%*-#{(k|v6sN)xM}RW+e1>g;15BLeDsUgmc55=U_nu9gez
znjmE?3vX@tFqE-cHriPdtv$yg<!3a&nswQ^_yjHIynsJLy3%-Ct~AlDUjy6}u7=dt
z2_T1g>6PnyWw3ce+|p)51DawY*V@>GXu4^C)g?+6KhSsibZ=-t%br5x&@;j)TBlwS
za9<9&s<d1)WHjMzXx%kw7EvSx?)R<VkVk^*!oyxCO^7-6^XEvV7=DpAyS~ps5oc<$
z-m@2Kf~rM9%yvHs{B!MuSbaSaedZQKW!5xdl$n%t%2Enzhg@^@1(oo>OLr~kLbTxC
zWMi+-RcREKd^lqmrHm)6M+4$%@0G=9?sGI>25&Q-jp?H4?a)PCqGJ^q#Fq(F`f^#^
z@rh~U9z_kge_D+`3#Gt~>eYZTTHQl4na<AP>c~>Mo?POr4UZ~r%B*+FBTs(Io}Mcj
zxV`d0!;-5G93Q{AziM0ot4deKGi@|6nR&0>#A#g!DG1_@oK?hZ=-{xc(nPC&oVnT!
zdT`IaO4;fUjbDP>8;gEwqGRm5MF67#R2G)aS$rj-y`Sa%k6X3yj@5OyAa6ssP!jpV
zuw4ngE#!h_*EG?-i!_(?&IsztrE2e9RK{ynnR*p1nz(DSX*$co1Sm5PA}vWO=yJ<;
zC324@?hp_^N3Jr3Qf6(+e4z?D*Zrm>d1>I9Y5hPA1AwbTnMB!F72N%KNSD;9h63kU
zz1K<r=+bW{cx|ZQQ#+FO;J6ABvP=|hG-!Mwwcz>gg9<+0ZpF-8r-b_%_-O=d4t56Y
z>HE`FP{jJbJ9+j*jCH1*?qsq6wf4*=9X1vGEYe7q*&~l3E#IfKc39B(?*8w@y~?<>
zbfh=hRu)Txi+gN>E#RT}X*T8{B@EPg|F0)s3O(D--5Q9tfNwwQk2Uy^knw2rKHm4D
zDE-=PxhBK{27{l>$C(lFAmbs9Ykq>*bSwfQ_FBML!`saXIz@b^u+6va2myO9iBGyn
zSODqcq=fBVd2HOTS#i3I6U$%457rNx!^Mwu;!Cb_`0SURzD+1AYOvdn_a>RcTa#SD
z40>5y85obD=rACC{4f0>O>+?O^01w&l*ZUN`vNUorSfH4*GBdLOlf^Os@funZyy!z
z_G<q}?e(b-<qia3S)XJgnu_C$BDKJv{3o^XaQNSFHUOrpE;~iXMbQ4ey?jsb7b=~}
zsm{GtW)MMmyirgpguAWv=L9o8P?twyxsxMI!9yq_p*dXu2Z(p;9_|{Zre0mr)T%Xs
zmgJLVx@COm;$-Oe{Y4+ub*EV2k!fQf6H|xFKk=eX<9M#&@;hn+9sAHY(HLUS4;HuY
z<Uvzim8wUsy;SW2PZ1tJBbX9oQ`K$eM3HLJa$r<H)nl=1oZMgt;pX0-tu@#&P2cKh
z$>tC>s4U0sAe|w|X#PD+|AP(bSY4?3xntB~51sal`wYN%XwFG}js>-~=E4)sO;RK7
zin!dY&<E$|h3k&m%otTC^++oDGqrlo{6sFZK1{eU@_xI|h?WQRr|!S|N<CIsl5Xsy
z2TJeS-H(MZpr%!U55w;7)J(s$qo-c!LgZ++WP&F>p54<i#P|0nmH0v6FHuJqjvnze
zRE(#?g{kT!$HTv=*Z(*aXx*Usjz+?hEhU>&`jlE*TgSiDhx~7uA_a6{IaWN*BYlJV
ze!hQ8q1!w)J!G5r&lGKFkGkNc^kSX5Ryf6$8@@<=-4oY-nnfFox^IN6?^vgDxyOXK
zmn~Df-UldfCs5$dX(Z@#tWyVs-(8=XS*7lLR(83Jl>#Ax<g$6rb!vB-7XRCw8`PNt
zVL{sIWVo^5zs7C1PL0o4Q4#Z{!?Gw!R<ke}cDdh(5P7;zJsmV*@Z}*rGM&2n)bf@V
zFdx(1eIRgy`rP<$y{il(dViIc?>5kaz<-x>AMf3y7F7lqSr#*4wz}=qiEd2@dzJ7o
zNQVy7+kPJ@F<`;H-hxbKewxtQ*wMBzN{0_$4=`8%V#Us}279Nin(%JR&4`5}8V|o8
zcItbv1zBG4=sa-KfUq~do?K@cu(HX(=E-w*Jkk5!fu%|vaw?RVc0@8_<bjYz_|Az=
zZBG3J7InxV{9%~A%!G-rTKgVK@?fzc%a_pOYM^%KyIUHK=N;q+8g_Z`qRO%42b069
zaOr~nnRQiGG-g=dlJ|swemP?Q44qU#VR3cVp_&cL!kJ{JboeprXEAfim<nhgUOe%|
zVJjv#oxXgzO90a?`OJ93R6yoRS>HA}4!rm2#VPhAA-vQ-JGVnr1s-eh8|zDQAxBnF
zZK<yaChpWc^ruG|65}{ihvay0>hWc-LVq#5v+*WT{JJuz$IZ=q?&ZbSfNoXZYZ7?g
z!#i0cMj1S#bwcg0(sbnM_UPu{QW&((sk(Sd8RBnhFl(*z;TtY?vy+B0nEED$wK`21
zzS}o7ro;%~=6k~@;#smt32U~eZ&QZPtW55$l0x`YDr@%ErX2eIntdTHt^$N+C)3Sw
zVa$s&;oTLdfLt6?OZTp;0Fk<)E{LKiV;^T8EKJ1nKdmP|?o<U=d4<RBt+ZVJyP(03
zO2Ptz$om=^Y9RmGo0K{wiPyBY&)SD7<F|j$eUIC!L((5^LA@MlydgB1Riv(pT6e-q
zPn6O8T~V+9@G}_{ef_49eMSwBep2TTEzyL_5g%BO)5{?}y<NP1fd*!dCzTw&tOZFw
zgr42qA&*+uc@{ehG_moxPxMeN8J>xm?kvnzz|Q!YRy9{GOd2c@>iA88XDTkrv0oIi
zJeHC3(1sS;w7z$0p!sHwbEeWoG70xCFYK#~CFA!Ztu@zgx=@<HxBN6z33UTHinxc!
z7*Clqv&q$m%<td()k>97V1&4Wt7K%^y*8hC$PijMz2=r0RWQohrFr8M8AFf%<%rcb
z2IsyVZNsIiSoSeCdLfyN{{sL3|Njh^XCT#m6vyqox9oAb_PwsX{>M!jEh}kCW~8DX
z36VlHM3b}-DN0ln<$o%xtc)~_1}%GKkH_2Zi{J0OIp_2Fe)w<Ug0ip;=optMr0&r}
zRkk$yf+0FmM>g{B`bq%T@usP`0X=ka-QZFtK*uy6)+p|J0JAb4r2rFs)KHh&7x~!$
z*T@y7@n5h7#s&-L5o>+4Sjs&1R#y+rA1IFYSTjLI#d+3gSq}^4vn=lDXydb=DJ+Y1
zOpx=Dd~iHc592wMrdLmBpc1w1!3%@c;H5}eh%M2@-&a&8RC3gC{syHu<KSxGNFe=&
z3U#nk<Vcd}Hf0pgjdn9VyBZWZPtuD*wNavhb*){%Dm*&L^GzvXHCz#})!o3Sg*%G#
z>D$gqV6W4$XD(i=0iC-4TEuB$RQjxl*eM}Q);1n1QCbZHxtI5=f2ZKH;eFl0z=`u+
zt(*z<Owe7^`Oeu$9bG7wC*R+hBTJ>48V3WIa7{13NHbm)tpneLk$wGSbFiSpwOLyT
z{B$qB^OG_*uvO0X@Yj&T)q<uM<85Jv<6q&)Fh%rL*BVgD=^*}y4lT<I*uqdyMS9$3
zIaG8xo*b$EhoENP$*jBpkkz_$liVYN9!J)xXH<<6R_)<_uB!mnJep~$yCsRoyd6Vb
zcqR#-_<xVVfdGq}JEtav#W9RuxSysnMd(}H5S#M0f#&?=*jG<PaQ#?Dq{sScqMqOX
zb?FIf2)ffIwOL*e+dck^bRegR-JA3+#_wA}gx5FUMPptpTK8$^ySvjw7oXPWmtQPl
z{F%9ndkH75dF?zz)14;1sp=e@6tx83*-eonXV{SOvh6F&z9~Z4E&KfjXA7WuUq7vI
zbeWWUX75{a{2yWK_4L+(%jVFzG+x~wIY&06(>ENCnIzWg>%E)#W(Eu=0Yz`&De_~Y
z<0r%aCWz*bj^C3E&A_itG~zmSoDB9{EbBTrPNa(YMO7u6Lcxg-W71(m<V)}VO9_!<
zM9<KtV_SZiz@1j18(RZ@llvA{nPU1V5xTFCb;{lZ{xXhg`pWzuzmo-(p0`JcoqnG^
zc04qOuuX!~|8;#KV|LkodS^dOEFboX-zaMgown<wX?I)63AMK)l{!PjesVtHYLXGi
z73G+|YpWq;48qFyZX6`yRm($p78uYQwb}b6`xDaQjFf4^qX9yram(!^hZx|g+`q0S
zE|IwKw}W5aZGhOLDEgZmHUta7+(3WFGGfgv8=s8v0Ff7r{bYzCl(IXqRs5+U!W~Y^
ztoIloj^+GG**Z#xC3|XbyH6vr{slF}zI1?Cl#Mwa8cv70R8^Cx+pPqB>`HE}`yi30
zQSfDWnFgr}zATY$9Yl|4`ob6b5K;6`wYU5%4bJT9c^lvLnV|b#KRv%;n0S;D-HGxv
z2oy;AT(qv6SiZq+PPsoqbUw^}*Xd;d>~R)7Kel`$VmZYAOyrCb$qqM%z0c~y^GYcy
zlm7?7K|QNkacPV&4p?~euTl@H{^jiquIVMrySvtW$sZ@OpBmOiPwPUjt0gV*{7=H%
zGI~no#{}WkK6Uw<u`XmL2OUe?_nX)`e08dp`HwJIy6!F<sRPOV0a9yx{t`1*kr5${
zQ$(uL6XS(9+E9F$7IO9I03jg4HbzO9Ax>BeQg4fE!wrA`t^QAk2!WEi(3p@pV!V0y
z(OjSwe7_qku}5f>NWDG&AmQ`^VG=VwD^^7XNzrs^*6m}2v{!3+`?n>+CWuXbR-Fpx
zUOZ*%eKSt<zD4_nau%?Et@XI}j3!*2ns+(Bev-Hwry#dclMTG9<KE`ZXuyeLftL+4
z{|LI0P_5Q;cF;78)qWeS0Y_)!8VVYwiLmHZ^oc{9aBZJ6<LFNc1nu7voz^f*Ob4EO
zabr6-xUv2)6Z5BlyES{S?czK!Bhr=}cbFF*+C|^y9ae{z)%-R6K1)RHE*1XWZ}?%>
ztGHqOm^#!d`pih3WP#qEdf$KzLQvr8!I>bX4x*bAPD=h`g$j$tA=$Gc@U5DWnEgx*
zj(YzyvOB{Lsmzm_za_+Ao6Etz-F|A|9Cpdc+L05uK1|cys>DI#b@HN^q8g|@pGxU7
z<OYxFXooj9B;iEU<!tvpRXB2ZULtTkFT5S}_(0x~hRK5)^<>Ib!MN$Uzs)s%aC&h(
zsIN;F)*b($Sem5@`Qo*5Dk?&t_v`C$t)o2nJs59Xx}gg1v({R&9uk3wcdMel3@gGq
z_K~>_C92@;@2b2sB?{-QW&5uER)!`v%EwzjRDnHm`TeR};-K)k(ez=sDr`4(znaHT
z1BMu9YEOtHB>mgp8cI=zzMS&qp8IM*?;0<-=O+!1a-!T>Cn+#YG4{>cs1D7C6U@?*
zWFfRH?pEA)O^~V&a?;VDz}+*_fAv4f0mqf>tl9xBxTKe?ecfCGlJ2>`+Ot^^=G^ap
z9~9DsGPyg?y3;h_n1h=m+i_*k%U9EHv(pD=^3?kfGc6D?y2s8OP=VGb>Gm6$G$?0o
z9bGihfvBkRhKe9HFmwpf5%s3SL;a1_U#{qZVv%n{%Dg(vE69qI;f7FkIW~ctMuUj7
zM;n4OG$8JITl?;#3^3Yz_J(`|9hNhHf}0H$Y%BaIY&(qrw{`TMzRdvVVixtlA6oEI
zTa<rZ+!(GoBo_o07=u8$o>+U74lsLV-dsGtl5cm_r~WpDrAYS!JxjV!sFo=q@yZw^
zQ%g5>Ia<JJk6j&ByY#_uM3>zr(-^24!LzMZR<Mbd`>ybe0bHWyHA+huL)Os&KD1lm
z&UYdIeO5I1C~;V&M#BhBobz9F{|umKet6b;<=$K}!XMHf3?Z-b&E57nTM&FY=F?h4
z1Dn(9*LqUv5PWyBvtW)1%*Ga$!#Olq`_MZ>d5=D<lA&`uG_3~OYqMQ>ek=EBDes{n
zzcy%AHvcylVh7$A5({4s8-RLvo}f=G1-6L&+Vt^*9dwxg8s~nd4+-{<)ubkr!QsuC
zZA+YM;3B^}51XMLv<J&zla4HS7A${dvaNwY^Bv;%gLGgc+qB;)c~Ou!bZ^Y1#SY{T
zy=x#twV>u#>D8~D>|i$^5pp5Q4x;}0C`WG51d*v@y~hWKh>S-=Ni2MJ@It@e%14I+
zlb#gwq<0<U<lT~4vlS1qoPXpVJ+BHAxq^b(0aGO7<be;(lT2{uypUSbrVK;>(iT!H
zS<%PB*nfH#6WnqocMwquaBOc+&&y&i+@|t3G^oxNW^4bt2*=4n(xTLm_c}goh<j9-
zU}OvRTe|+Ty^(|kJKE{}Zw2rk_Yb@1T!2#D6Gn&Z#UNDbbKWOEA!MEX7I0Y};PZvM
z>1=93a3EB4F4$cd-An?T+l&bK<zX|rZ#54LiMxvSz7odgcW(L`+StH@D}_IdhS;DD
z-7P-13FH0~!83o{tzp0F0oxx&3&g0vlLF$NFdl0C{>LW53c{wsqE{zQ5I4rgpGs{P
z#$!XT!ZzKtgydpL%scX%7}DN*9~Omh6XqY&`fdRlm8$~8Iok+!z5foo-x9+9Yt>D?
z>K2f{aOjiOuQF2B3nRTZ2%&b%hIjd)<`Ar8>wjf;7g^Gh&VExw2wQ~|cfP1GgRYjw
zBZ9Vn$US$}xR*u*F`-0VEJn=?dU(ytZ3;%o{KS~$l2Jk2FYo<6@RTXgx_p<H-c6Ek
z&1^HTNC}~|o$w~naTDM;aFXhlHbZt>@RBEdh0y)ds%bSJ6R3}OjJhbaKt^zTY{}>n
zLUG%o{5@ZcL1z5TSf9%>Dc&3E9&=n6Gj4u)kiEqi-gf7vWf`%ebK&`k*HjS<`E-N5
z{)-WuiD*cud&Gvi0xG`y@<kA8xrEw$j9}yPJM}GU9JuYvPL4W46wfa;SH2o&z?F|r
z{;N&nM1I~=O}-<dSnuYl|KJn@ZiK&A(q`qx3j0%zon>M;=;)JOuF8PM@QyOWa2~X$
zZfkDI5J$&NPZkubR`xG?-@(=Yc=3T)n90&*3EbSdGg)b$AuvOB<B=2m7=AZ)TK$0}
zraL^Kh|3v*!J)G^9;gW7h*WI7<Tok&&=p+j(?W-E;i1v99YXl|(evB61~N#iQ0zT_
zo(``6u^e9ODuS!eMCRvSmqkX(BOW~uI?!i7?vAn-#rX7T)sLETxbrEm%U=o|jt854
z2wN|PY9ad%ceco5+lMzF&aHThd|29*tUcl=@a)>OQl=uFajd<^(no_6l+q5bGZM(f
z)gJM~RvFKo%e=a_odzs_3N?FcC2{Q4)05;H71UuH-xS|M0~vbBdt+H?G(FGj^4wDu
z;|KX3EOpU<d00?K=eP`JZdKaP5vhh}qS-IW&d@-eqqN9*Q5LUAsE_Z;SH~FXjBa;z
zI`oIc26v{);pr1$d6O&s;D~)l%32>fq{MzGNV8DDa<-mEP}fA6RP9q~rF4)q-u>s%
ztRk`roU0!WrlL$t>dTKxhTuhit{CXAjGI^cmsUK{!sg)(e0Ogf!q2fYO5Z$Hkg?47
zYx}G=IwvKRcv&!Dg3Yk{iK{BI9aMi9$k0XZ*-&MPVFm~u%TwuaQNyjfwI6QZu7^{l
zk?*}<7=c(#XG4~oI_{9^P`nwak7d6<?zYP{2G2U>(ogObG^D)Xc<f?;EGE0=`tF**
z%a#WxGF>#VL|T5kEf)<X)Qf-ZeQgSF8I#O|Yc%optqvJ~dm7gG%Z}BLnZf+09c$fn
zs8}B{^xv)k8d|luzkf!zfJxnw9bJo5ELp4>ZTF_(Oz*qa)6te-#Io?(w@eFbl+14I
zXV9=aVe9Li^;YoUa}?9rRU7AG`<i{87~lm1<-WC2Hjvo;tlI6ZHa_-T*g_WQqjTbL
zN3lBrM|C_YZ>3jyUyPNqm$M%3q}~)Cu>o+Q?YYNlv68dp*;U=sL7xGSZO^L!`f8$_
z&g<!5z;v((ywSop2{b-_Gh3K^9(*rqOdCaFuN65JXyR1b{U7s}ZQ(16nXO-<HfEdO
z4>%D<!7blzZp-Ylg%385_r?rsVYyLD!69um%q})@<mYEX#)ZDR5IrrFS{tk7-lvQ~
zN1k@YsI27ltXXjfDxOSj@GtXHz^A6$&nm6tTayl5u(s30YwRk;6-KhS=8f-{?v;1U
zLj;PQs2WJEe-{wCLlSc>x2-ejvxP755>X%K)bXeFi4=>UqNw<#<<vx>E!<L~w0gZ(
z!>=OoZZ{taVz=rwpMQb2@HlZBQz$_dPxkq*Z4BbUcacXm*yL=%H<x+okb?>~)r?ZN
z&a-2JlijmB)c_*BOT!_e%6KI&AmjdK7HpPd^hpN;<nI)krPe86n9HO|Mf)7dPVJ{!
z3j*L16CeLma@cr4%-VC~6nXoSqOSRN0&2tad~^I{QTh6xVu7)7vdF*b*N1C1U|Z(6
zHQrwu-*zwjyLEY#<cJY*(CoB^mem6%g3e0f*Y6gOrSyi$12bBFNeb3r{CvB3)+cdX
z*I|CqBYThxs$9)8y2lDe_OH5rW}O%|*a+YJxqgt$_^Er4tI!fY8h8LxK&-zjw)KhN
zn`S#QdTNklvMP9*&00YC@77u+dtt14V>yTihsk00+^!lY3n(2Kmgo@>MCa&rt7Du-
z$tO7r%=X*nFxu30JWrY*?_Pdt+>|v&YMXlWhs>M7#IJdi?>@X3#_C^PO`jl})owIj
z+-3$RBjLZ=A#QXy-))7XljLOKIZ2yJQ^@M#R!d&t^xY0#^W2Y9Bv<y;rQI5)5Glo;
zA5_4JMH>wrFMgjPGrre6AGu%x4aHs@T^~8Ht4m;48vi_b)H~a~hus8PGWP16W^iDJ
z&HNDu_eJu1{dNhpqsG8-O6ziP1v}nc@1b5(u}q%b=@(QsZUia!HGbFaW5>}uUf*(5
zSn<@Xdtv%PBRENlL^Id0<Ga&J{HMa%FwR;2LEQ>R^rbZ;+L-M4csX~Yd=ESJpPAmU
zam6b=S{#;Ieb|v>c>b;1Hcqs+tClw5U;ux^Lzc-rcFdjoI3GI1g{oDde=l4#gj0s!
zMC|xEkS(m(kn0)`eoPLmj?pxPOVjtFwNg2d)~G%BV-Fu*Epn=nLpoHieK@w;m=n)>
z<Xn?pCxDq-Xw1ty>A*5=*EBcBi5Hh|!oX%Byfa{<rouu8+J`tJ&+lC5?~<Jpyjld=
zcBn<O=F>p2t@(%MUvBKk;+w#OqPSVOaaZEz6;D35s%nooFW!ki{IK(h7)JQ+niuA!
z0fV_++QFL-^>@TxcqA%;b6Pbrs)+`0V&dzZXFER*UMd%`PL@RV)oV4?cnqL=SXRt!
zzaV0ZpmD5%G=ARQ+U%2|4^iE*eOh#3q?1SIg5Jwuj!?Mb4oiK=PXnvi^CCFx|FgI=
zXB7rfbsoPS(Svjkiap;AQLM2r6_3l1$7sV$r%TWDAP~}b?s+YS)~S3cH6@DJlw!R>
zE?p07u5Ey)EE3q#Y4~kxgfd#Tkb_gHE4{#j_nyX9Npwz7_xW*81$(V>6jbu`;P?2B
z!dDGaD8ee4(lw-tgP}VPjDOJs%S(~2{ySulhjD44V6{5>f~vnNLm$rXn|)TovkIMU
z@0Us3ry$p|@~PJ)EAtOFOaE?>!+RR{7-CAA=$5WfL*HcpnPcwiRb>izmDCNscZ-VA
zR~jqX6lkzc{CAqqb0u_Nzw1?*rZ&2|H@Jr7(qOc?@lZm)GVT={FMCz2gRvKbdh(s<
zaLx93(*nCH8fU)WQe&crEb|Xp9|;*keZWWSRhnu@8wlO4_)s5nuM)4R6NV7EBchG!
zqK-KN?c1KM@aSvaRH4u;1E#c3>F35!P?n<C?sJERhs>x44=NkOowT@O-2x3Pr?OA%
z)uN-Bh|NotKoi*A73q7VMH6i|aGrURLdWZb(*BS}QxMj?7veoY#W3={hGHWf9Zs`F
zwyraWx`du(o^dTSymi89yqk_Qo{Qn1yDXs1c=!fKk2cEx?SGk6LC3P}b}_LPzir<e
z=>GVw4%+mXXb*d@<fY|L){5JJ`}hyGTzg$y_g3(Hd@~IrW~TH<vI%IAdA3oaOc#as
z`CLBENyDE#Ha!Q=0qFLB)(sfdMUTq(IA;-koI025am~~gHVgBtzB{6e58lsJN4?a+
zGaggyneS|2$oApn_Yz%{R&e4`($K=&u1#mOnM`1<;k@T<p^KB&+=_d>HL$QGM|@u<
z6OKPLX(&z7!KmlABD9j!P!QELl|L{cSBL7FlC6!;t%n?6mMG)KQ-n|62otn_Hu`K&
zS>ffMM`K%u<?!!LptlS%VIWR1?3)`E_vR@CA8D4t*pY!<SDKm7cCMrN?z{#b;MKk;
zuP%oB)l%XMSN=^2i#!mOLcv?g9r>m6{K#_DVv(|$3H6sQQwAl}@x;D1CyRF+SjZCM
zB+bHvAco+#p)0C5?s59dv%QPteD~*Em)o|mr`zmInw$#W);AO>+dV;Y*HsG|o7=)!
zoM?OEqJ-;2uK7L9{zb}-KEIjX2q0tBcwp-(dE92+H59GdP7dkInpJxNsQi>(oAp%|
zQ#ry};!a;Av%a(aH}`{pD@7v?JiDb)$mwlXYk3_J<ExM?!$UxIF?~i?KoXa_dut-1
zKM?b&S6!ddY#=psdy(ibF)U{-`*d#f3!%$!T4dX04a}*6P2R&IXn3P!jr+lFBB_Kk
zt~}KWt}M!)^K}$L|7_b9<;-qEqe%Xj<y%XLs8!gJEX<Gox)LhwGo8fwI-)$E+Y%g|
zMYbH$;lUZ{kf^D-PejGRbM-UpEP!FT<49sUCpH~9VRLS&o!GTt|BCmDIdtpv-%od8
z$F9F&85=gfCyoiv`P~0$28`A}$qW}(bYJ=%{n@dG(45W;%eF9s6xqtlX==-4LeQ_a
z^Dj#Y=847DvP-65vP)68RBnMht|(25RoqC}O{+B*Pnf{wMXhnO<Fn++D>mcT(@M$X
zd<RFjZ83ouBKRDi{WN*jPQ&beX$_gXCFyS*X$*|A1NGJZ|HuH{q@k+<E#!qG{k^j~
z#$fPUpz2M>1R0oIb8hpK4)UgL>Hcfijo?M2MWn|0aniwr`g+v0i%e&Bm=mH#P+76u
z(3LbsZhqX6DK+(te94<#UYpE-_g`MQWW5|EL++pMw0YA@zU^#ikm6#%HMyzyf10CY
zg->~j<>g=GiVJQROEiS&oxZb1i6dm1;_@ZK(7)u<h<>RYUPG|f`JyNyH9}rLzOZ$E
z#~`_I{t7%vrGv^W=kA)BVREc+|0#B_5i)#7csxUn4#JLQx__u6<mRKz?-YnJk_^o0
z7r94+CN@7;^Xw7Q+dXw7*Y|PqmErUk8w(o5r9U~|OdBPIlj2WnXH1gqRrPy)Zy3PA
z$2zZ1m5h>mMARyu22YWn%|oWE8uTII!UF5-&0}QDg801H&Ka^IL6vriO&>-#$U23u
z8Ye#n_;E~x&XE(fg5HfbdQkXk(L<bdg49h({pnV;K-yICn;weOg&)+1;!%8)<V=40
zMDnU-GTlqPEA^cY7_Q&GnZ@iMIiUG;=1vz24qIDov0SACRV~@?{mx90`zbWuFAi)N
z?Zj<<@t`)mH?_3t;hG^!4!74Cd|<~f0&jC_8nwWAe`<>0gIQARk?<Nu0w*&194o~Q
zwLtQGkrjX3Jn5FWw(Z#tZoK4hF}MB(6_!K=J^d0FNtYM07ruM(;^)3&lbc1UQ0Hm2
zQ~lL4DchiLseF+iX?bn)M&~r)<U{j{->X=0&uOt{t9e1Ja?O0pC#DI5G|ItehuM(F
z*4?IHqX>>}Y*o2+TLZ=f`dJ%C+4009i-=HC6w6!xo%?030k4Atw=phoVpfsYY`d#C
zQk*Z}=le<lnQQ)giIw?Y?W2x$^Gl*;V*cktX%uKoF3vmc%8PqnyIguSB!v-YhoahD
zDWKwzcw;Pr9}7Gx<&MwGV0K+qoiT+1>O7ZnQ`!V^etcbIl$jh#%!Jx=@lzmVSB-}!
zLj+Yv@>dR{0<sooyw&2SfUb?MhkvFhzA(<CPf?Und!aRjPk{odBh%9ib#d$!583we
zq6+@xZ0Wu4Oo5r!Bc~UdB~Y+hLUmd}4fp-c5G&2209Wd<n4a5G7=UsW->TG+Loc>2
zMO_0feD-pyOqaplPn<Rrr!;V2zo3Tadkx4hi7-)qz6!TqZa;X#kBS{pT!;TX(u9NE
z%?VR%3h3jUz(2B08wC$bOwTn^p?dSpB%g34Y?Ce&Gx5>IphC^OBm-?&b0z(%39kyO
z$u@hX9nr_OnhouoJvuP$<-fxvNEN;Qd!0wD^u!mM9oHX!*MkS&Yv;CgsbN_bdvy5*
zI(E}kesQYM;D~bBcCH;1+&3~@<zR1!69X=?VJGNtIygP?UY`cOUY?Jz(`MjW&v2>x
zQVbBFvn~rBq++aMjK$#r1~!Sk$S~|S0?t-pG1n<AG*K+_35hX6{^w_8+gnY*>SdqZ
z?+_il{k7V7ZHEzZcu3WbjG95EW2aL^y)I4{*j&2x%LpF`3?;DXS;Ft|*`%xN`j{9_
zJYTqDgaxKti*XUwki>C)@+FS}uD|Z2XU}JZfv(K^#47?!^`^tI$pD{kE|_FWFwjK7
zvD|bPU`W1bk1b_|_eGa;a%$*E%@U+i=WQY8mC5=$<}}>1$xkIrhlcXm>JF4HCUni+
z>uXb?;f~2lFPU6j9O%@EyK-?gFmico807}&J^4W+^fnbGx+$4w<?J9++xrQA)<<c!
zigCekb$q`!VEy(`J2;jgzT4oQ9){hCovm?IM%!?M{L;&I(8|i0^3G5ftwt^g?RqJL
zr;papx}CKHL47k9x0Bkq(9ZQF;*cm(xrEQ@Y_|hBO^%(v@~N1AZ2XSgA5PR96wp4y
zYX@nC>mq*^YhcCWqg(#$_(z79z2?=qwHlOn&o*)ws$;}M;r{LZRpgPn%e#ZsR>OFI
z^oQIWReV0UDaPUWUt(fs+qS0bOt|pS`k{S}GOFDgQU2C4L-5xf`SD1E30d+|Z@>F1
z;0*WCpHvQ3*uX+;H9KhwaoP&&t)9x_*JtJS%l;e?(FrYn(*WT*dyN_`r0}+r><`{r
zF0e8jTeLX<z!>G)?!PF8#t%fgdpvj`JV~@|`6B@bj?8zlu!vv>RdSQ69WOlD9^IAR
zWdnS?-ZrNb`Oq^ZJ2$J87l<Y!zh{HiaQ*g%KhkG8QP`k*i29xvXo(@Y);!jbobsmU
z4nHeSQ9?g86!L<^8uPp&eJkKO{|f(Gm?i5|ww(CShZj69H0k?$Swel7BZXczPLiDg
zEQwsaP`hRoJukxoPWj0G`V#bq%)35(E%^=)w3R{7lP+_(5)_*rpZ1w_y?sjMvjY$8
z3zRSarfCk(+?N#t#2%AV8$6iw1#Ykarpwt#Gw>YBpN=i9CwTaN%$ihlLws_quWq|3
zj44;RUcB5xP|2`IfAhKFMwdW=laVQi+_LmweEdZeZOWKqFW?531LYUuubIIA00030
z{|uLRIMsg?$L(Za+1XtCUaq~r$1akT5E05KL{br{5JEDNNJ5bc(IE4FiiGUUWXt}^
zxF{Jv|DNYOpXd3U=e*zV*E!{`A3XH-KaAZy_sNmAeZcT2we>E8ItX*L7k=Mf#=cg5
zC>!8ngg9(BPasGQv|buG<xNqrT%o23vs;YNb@jY6!*5mS#v}tiWN%;zKBa_d+<r(r
z&fOsEtqSX3gxdQxHn9ioWkw^-`=KEA692^o6$s6f9^Ne5!k8_epF2{>1e&o8nvDS}
zu#e4RQblGL3mlLXv@K@_7e%D0xuXm<GM~f!o2ejfDex=&#{#;-*+-fZlmX1=E)CPr
zz*cB{?sY3RD5yWqm@KIbodLghLkwu)<cFNa=OgUUSLFNWJ(&dY%lCO?V(DNlv%aaN
zodZOF6ePI1kN_K%H%S?#hq!z6<z<aHm^`E5*26%8AcJgl_|QH`jI+xxALIlVVUc>L
zcS<llzA0Z_&j^i-?eB3+T+o|LRdC8f3H+}{{bzcL31qIUgbJPHhR;SP#&krL;Lff3
z7LENZaPe|qno%teFa}F_9;{P@g8rVnoqepJ(^KfNYRU)VsTW))PAWp+b}Fl7BRgmp
zoJe}O#1BCyj6Yg#5`l|SG&H}+0ckIz!*5j|1in>fD!#WwXz1jV{mRM-@@LBF2VM(7
zKSM0h^d=E%<rsUl3=aS|QDFaVvIwLJywH|CM}!26UZc``T#%$5uKwqrC?qU#ZJ#?!
zgnWF;yU=BB2)M#GdPhziSWZmDQuf|)yfIu(zQ_w=J&YIsT#x`$Ygm`BA%c2pYLW{B
zKPV(mG@q`PgyP0R+A?895N6PsTK*^iL05)F1canu>OnRou0Ro*n>LQ7MF~Q?wXbzk
ztTZUp8Qu+0R02=_N$<&v!jLu<T*pWw3-_+mXRtm~f&$ZXdXAc+;L~7z<7k*16frI&
z0f_`fRWhM;CSqVVl1!@pD-VSSK8+suNrDt7!J`w7;&9*kZ1AQJ0Z!fem1LHu3>wEa
zV_U9Ez*@}X9PxG{?94I?h$X0ioHlF0P?jX*e!Z$Y%A^D`!?;>vnkv+)1hk&7$HS+{
z-K3BVC4lpXKhhvI5KtCyTbz;t(>FZCId&4zdvjOKF=#+*5TC&TY8eRkP8jq(M*{tK
zK>@G5G-3IIKYtaAEIcq<wf9USK|4+xnU88gy6W$PGPH6Ky(rq+n@9p{g}JUZ4;?sb
z8PcFJBnRwE?D<PhBw&-e+rmN7g}WzJB+F9dVbFTDw|q?r<gO;0gxt^v#QV$Yi--cy
z#tpH?*eO9GXXQ7xKN!fdfBIn^q5#wns<;1RQUpT=yrXO(z`Xi8IVMK|ewuo0%rO$6
zLif?7SBDKi`3lVt+*g1y-IebKALYPVeuAx`-2l2ZS)&dc?e*X6V~bLd0Wo7Hn@(**
zXd4bcmRu_jUY~Lb4~F95>~y_OWQ-wjse7Km)5*iE6{qx>T5*Us&|ebxXb9JEH;+;H
z<iMlh#YFvnQSg^`HnV6p1gm#nzl71sf}i?ahR>t`IL^7(aDFlbM~#^l=Wo)G%fnLo
znVknjbmfG-o*KgWtBc!BK~f;h!sIGbgo8)AHBUyo4B^w(xlV2_Jb=AuOzcBu2pd$Q
zScw^ed*7Qy^E?S)-XFoeI!Xta)b?~livh4k8}YWQh(i>2OKFP#4(3-ZOTX)D0JHCH
zHe?z^fh$Fec}{c<<0mJ?^)VViL%T^wWt}i^T=X%ZvYW?tJ{T-NdkT=Yb(Ft>M-VJ+
zf6+e<8^PRTXhnlm0dV-mFspcekn?r++c0dw0=KO13?^Yf&aC-pBFhVCfZ|oboQY+<
ze{#yBS|3E8t%Qs$aY17X(M0NV1sOGxJhbQZK)2J4YG9HR<kl{9={Yx$-H7|s0|fQp
zvvueCJ9->2;YXw|nKhGhy?8RJPw0Y@QmNv69vhqzT@Fn7+(hoL>3?}8Q3q;Ew^zw~
zb15^))!1(OLLPej%<OZQHZWvdCz$_Wgri+gyrrFL$;q_)YqJHk!BE=$Dc*+xb|SY&
zUi-WvuUWf^Zg^_J7RS?eKQlU5Fc)`uqVpIl)_foMq*4>;MVm6{JZXSd<J70DpVe6V
z21naDPEF7o`<7Mwg$mBM$%_lhG-D#Mk5~o$G~nN)&p>+h4%Uz>mRO|l9s6s)J(b*{
z4i5yT8At54u-tk@4IiHYj3+m*;IX<oI7Dzu^`F?pKAYf64mFHmH=J|iS#tLDD9--8
z|HU7Sbf7Ho6aNG@C&;c*%dQ4*uQo<6T5MovEAMFOo|?ka&I%;l4_AdqO@oF7&2{Yd
zDeedTxwBZu%X{sve^nsOG0nrzYYh_yf%&+<3s}~dECYc+6|gP}-2Tx`!Qy8q_j;9<
zurAu<$2lv?a6Ck;+di0r&08n^a#&i%>gIj>Cjynh^RRPghcyKoSGeGQw{{h)kbK48
zvAO35vM1=r9VnPr$~{E&bPbD~pwF_8B*Diqo%kO~6l@?(Tdg{E1MBh@Y!ASZ0BuCu
zyrEFAlGX3wEHD0IwowV5ytztnB-lcga(fM%aiQ*h(Dx5ZU-ExvsJ`b<+Gn!5_x@F4
zQoLfWu!DV7m>-yZtO$?B@|9TmH?X^Ihk5l*QbBLWTR-<MA~ag{7)*)(!Nz|Lt53eB
zhUku=8_XO;sF|ILRJ8kxz5Ip`6c(a|R!n7S(}n;9v(#qY@=c67pOZ<lkPcqtyUDoh
z`N-of@1GOKTUf_KAu*5B3=n3{VRUUx9!4_gTtjGfu;P$&q!bb(m@T<>C0NTtww6QT
zkCk1_QywStSdj^8Cbh(v%jCdh_O4733pF@*++BR@zyeDz9Jnt??D^yJ)yH$XG{B#N
zAFwTFgQahUO=cOgK(6_*ViQjb8B~!a_&g3UpGw?1dr%f8Gq+ouw&|dhl=sGxg%i4{
zMEnb0$bevRfJH?z1Awc9TT{vbc(>c;u;=!0=X!FOlNBRK4zBAu=ySu3lZWZ8r=+3n
zY2D*n>P#@W<~Z8T#tWvAPYa(tmWErS31?F+SYWuK+MkP&A5iSzdk!~gsMfVyGEQcL
z38NmEQ8);PX?rAo>PW*lVf>nMGzSoEL45P35Nx|=>AaJdhQefgBxMW-*R+dY_fU%h
zZ{g*EN>yoKy%N3X;dlTj&EexKr^TSO+i>-XgETz$HJZM$#sxfSI`+Ri#i2H#Qv7j_
zG+?(cX0pHKfj>=MxJegDpkfVrbe~NI^vb4ME0X!(-OCxA#(pWVP?liX&X)n#;&N~D
zBLT4WJ@(PLNg67BW)1dTl7;R2Rjohk1!1*q+bcaw7Gk_=?wz|V2l%n8+BjYjkfXn@
zoe?Py2I(!{Iv?bLQ&HqH@vA6wdkJ4BTp_?~`V#6Xy}djMNUGN25(iGXJHLN;?(t30
z>(CS~MUdt_V)xcx0_<~!m>Ua}fOUW7>yf8Qki)<k^mITHwlXtzm6A!Is;#fCJ5GXt
ztjw?hb16^{lu)VlREF2CyQ)>kRUpDEw12Et8m^?Rq!)^)fO3_x9nG>ToHLjzY9z{n
z#!JP1;u{sHn0jmKU8xS|qjwqQlI7q;8++A1CRGra(di9*sR=QTI9baPc^G4=q>+$O
z1r!n&W&1%J{5dSz{Fn(ayZbywd|L(V>BmC)J9S}%UpCQ*nF!KPgJvWmR6xBW`*ZSd
zeK370rkDAh2s&eB`Re7$U~{*i+%^n=Wl`MR*g+BaRW{z5Ki<>x;o(-!%LY)SE@3tH
zP!TxZ@hZLE)9pO*_gKvlLr~NBk<b*O2<1gq7K!o%F!<+bYDQ}WUW2Cv3-)-bg`n$o
zGg%fS=q(2G6OF+3@l<c87ZEaxLL~1t;z4G$>DjeqBVg#^k<s=fz+yWde|$|0mY+9g
ztKyCKc=8m1QCtC(?rU$Bga|_Yi`gAEqA~p4Bs?E}wx_d>@sT^>+`#3@h<rGVA#=<(
zbnTA}2&kM$_jP0g!-OS@QkM~AWgoPYA@1!>E4kBEjTYYEB4yTsjiB!2+!g*~c=*vn
zmE`ZRiecFHds{Xm$T``I-Q45Fz`tI2pMx!!orc+^i>Zd-<+aTBB3cYqhfZ_T-5V#n
z$la$2;WC7>cLD6DT|^*;fj%k4VwLREMV(lAe=n~c+$uVH4#KO{ySynAo8;J}#p3f!
z22g<&-W&|(gV$e=KKrXig{Yr6?i-8(_~`oXQ0NJ6a6HW_Wg$v~zHw6vXYR?rov+e&
z&Vv)uGoL?*cceunA#)FPxiOf`uz%0)!w!}-hGINybjV53uCGc;AHt6Fd?~oi1h>zJ
zC2O6cLu<41%Z!G4kU2fg`i_|af{k1@H1_Jvj;-O0p1Ke!`REoGJq>ik+YiR#=}^`p
zo3mr84iHStex7LC!XAD-9pczYi#%{?&u_G71BE$&{KRG*`@l!u$L2$eC<f<F{bbe#
z<s!eW)c7TA?pd)~2Q@9yxz`&%aa;>jIUSjvHcw&Y`$gr%GHFl@qZR$W98JL3^2g#e
z2C>vfa{-oyG^m*4%ud6a25{LV*@PB<!7_~ReEa#A8rgDPHhg<b142vh6vf*YlW*n+
znl3j`qqLD{DITTj@M`qah0F6D<OG(nh)0Fg=%zo8JCRo%nwN+2u+KlqABB&}auiXc
z4PGCmnQ%2QJAC&B<<kVYaDvRZ+eD4DzB`z!uBrl)Mm4%oGDD`%qxe0iqd|`2m#-Up
zslv)<IUQl6|H%Dn8;rY7GzcD?^H>>Ef$;!#Kh3X8WZg@b(iVDY(9svKtwmi_z-#8#
z)v~S?vbx*RDkFbd)P7d+!pCuC2rJYm`PxDuqc_u4Gjeq3hC`A~;dy1q8kzkVQL|32
z@6^;D-bas6w)Gzhg#_<kS{?}~{6ki{yB>L*kpbx$e2Goo%U_>PA=}*SP4ea~ed$+(
zeJB~X)fdl4g10oIk5Kj&d2T3IHYS)6InhQmt(GW(z?}I#!n+;v+f^~A?*I0qR|yIV
zqn1jbCHRehzaJHfJ?}eBj%P+oqw5!EhZTYKGIM)H3N;$*>XB-+XGPZ}AAhKoR|F~k
z3%7HdX%MbaYOLIb9VNxRdi^1s2w_tC9MwE@C|^R;<ohQMG;+$()OC^o2>~KQ^da=<
zNA>sI>l7S<h~VI>)&#J(&t8n%WI&q-zC=qJA3!h5`Xf4<6`<EVxZe8_Bbo|=JoJ_e
zCCJ`n3$<1NY}W2kpB)o2x3y}wG2}s)9kylPPsu|Kx%LgOE(@}on44Ll@FHtZ9FY<y
z4`vsNOz$3ILk2s!ORrk^k&(rAz(2!1|L<<lu>=kjo;e^K^z9(J-d6avk5wM#2yTS2
z%QzGjKGP<>Dul+j*v|i6lmoi=?^P-hC#pWW-yu_66on?4b287$!GH!QB}#@1^**t(
zv3C_i!TkPVXLjYFjkAw!xR4tyUscFm{UDBFnh!gts_pTE$>Wa-R=kLOlm3I4s3h81
zcRtZ}UmnU?udhGl;73$kcEW2}cqC-Zy8N6|0itN#@9$d?K;2K%4!=>7Mj7<7Joq{V
z2)j1jRk|vOTCM1_W4dIJZL7UPMLq%C=l_evxJA&j2n~yXTXLxBT|bVojtJfa>fhzB
zM3H6xpli3P0-B|F@)%)L0)yv&Y*zZk&=tH}jO7dg9Xp^EAUdoB#sz6n{s$z`t#qfY
zkR(Oq7tibRq>}`xhbf=J?Icm=`{63zWF=%;W0AIhUKx@d{T@Z<;E{dpz~!^%B*gGH
z$46LR6^1DmMx6^%=n4&PxNnAp1n2Sz8cAx<$z3S)P(=pCY364hbyr3+u4|k#0veEP
z$=17aQ5MlCwq2zzS4O`^AO6g&(*yz8vv%}pa%d+=R`q(1GSYnWNx(W%8@?Z5%#wO0
zkBkE@>f2T*qwUR_p=*10MBVi=NwZi5<kcc`NYY6e-IKDoFN4>IxAm<YzD5KTu|1*)
zwIpQc**%>-kAblq4Vz^H0lkR)lovguglwCSrL(sH)L?W|znO_>y50s0yQzp8PLwv%
zBpARCd@7SQI}zDj{?5fRsDLt`Yq{an459kl;O&uC0xE+4+|qu@qWPcDv|eQheU1a6
zEoKB%?vuKfT_uH1$VCq7i5Ni?f8Q(qTMB62O#1!X5D9d4;9XyYlM%FSskEI9l}ExA
zQ_>kmqUg3o+{U$QM)0>q<K87>ITW7AP1o-zfUeuA1U>dM0+)i$g|sml)O=+s$uXM?
zbshhCv+J-C^oDuvXLgoG{2bHs_S0;L=U7zi5R(yn(Fl7_s>h?`gsXM;JLr*IrrG81
z<%Uq)xN?C_SQ5>~-@DJty+zIoliVpjX$a)mb^oS7ag;W;V0prDkt|)p_F;3z09-a}
zT3k9r(Gl4(4a$u!a>OgIz9&}<Al3kD`Fl|qQQDVZFq*bvrCe8c8g>BYKGq2|IUhvC
z<?AHs^$DzC8u#YEy}bKHKn|Qid`O(d2k?6TVPEg5@K3M<l<DLsm?3U7CDa=8ZeSU^
zJr(+|M-79vf)gSiv=1OPI+>pui>p{&Y;<g~wLa_%Dt8{7;XnaQ8`7z~YuJ{RKG7sl
z4?_2g<ljzZMbca6vM6`gFbC_tXY5(JU=$Ia7+bp^*%f`m(*&$x_k#VF<=S<CsXL*&
z`w#;P{vfuizDB_u3uYFA_vt`(t*nTYA}#va#rU7EG6id8-zQmZstsAkq-OoSsgULo
z<L8-%tJsGbIGPo&1^S<U673fMkt4CppXpjFSbp4i;+K9+pmrDTl~3CsA70zg9hF+f
zq(b#td*w7ia)a=CsBV=!`VDI{=2^nV+ll)^!Zo1tduzLv=MuT?Uxk>a*djLj#U8ni
zsKe=~B6i~J9GNC+CMZpF0b}(%wrXIY4u>Au8T}*wB0pf6V@VE~!y47Yi9cSbLFv&O
z3%7K~$cxzgXU3%&tocX0+!Ci6RNyrOWgh$>kF&ak#H3GS0Yw)N9^1P&tqk=RBVK<e
zpPH>z91EVpWG|kd`nIM5nLS085?bHLvn3So+@xRFW>dGVwyz50f6HQ%N<`!ZlJU1&
zqmvlFG^gv;8D)^`88Z5pP)H_yAN=*geG=OecM5Ud<6_1eRU((?A}|k5pU!_GlbAoX
z3w!r03Di2Hooi!CvFRW@oh92Owiz5wSLH{7@zebH4S6zFC(gukTX7P*WNYU7_m2|j
zD$DA2^nJm~oEGEWhEHNeo95Kl?kGWRwZOj1ufAccR;uxb_x-|7KQnL=;@-QQqNtTJ
zQ#-KXkq|!inqOEO=kNMrD@AZUBcgv&`#W|!x<*#_`4o0T`uH31kUc*3{7Jmg-h-X#
z`OtHxW*TEIo6ERVNC2uUVR$u{e(ZwtR-iP~EXLtxq8vP-0JD>yM*G))U<4DLNAq!W
zn5OC1Qhred$QpZ*MtCxW$v@EuQZ-q?GEUv3QFoJvD{yGrlsJm%H}d<@X)R)IH!n=T
zdnpIB@T+J4(=jY$AT%gKZ3*i(*U}GNmjy@sbF(w}3G7RAsdB5|G8SWX|76G^S-AHw
zM4|P|Bv!a_DE+_I6|DW;OUIn2GO)0o=e8U<g&m}_5$-=u!DQGyXUG3Z!?RY$z!c9J
zEV@!HdVzW!%h>HJ)^d^tf9n#evVb{^^S963&hQ3Sjr(DiS0@FYCxZA3UN2xNMT&VY
zi+`~%54%7?Q3`lfjlS~m{l@b7_aB>6-NKp#LrxAo#e)d7v_JdE5>_W#U&8Ql2fIM~
zYpsJD4<l!L3l)#AV5+8)M@MR@z`O2>sC<$n)Dw958D>{88{Og_H&Ys@5`UK~#3>0T
zExYu$U#wxj=qA1zt<!?`aogUxM-s3^Gp6@n(gt?s?flP-E_%@Iu%XQ0C7|)1&@HN>
zzu2ZBtM}Z<K4@xo7mTV92O9QBy~*u=*prUg3P}kjkRRSrwX_k3Qdem|h~2^7<b!W%
z4hx*ps%o8I7lVY-KuL*0DtLRA#r~2jJFKX<scPkl!J9`VDoz?SAbe(Q{ER9Nq|%30
z^zFppL`C~r*c>ew-7?zH7~uqh$kSy*-o5_g*N0-8=wTZvd5^#60!_Y^(C-tXpwfEw
zTwnh_$Y5j7R;u8EtHxm$dTK>MDK&4EO^6B1T`pSkEb#%uh02r%uS7xGI{B``V-~Qo
zGxU4lbP(KT)4%k-6a`h0YvjxJ?9lT`5SKwO3{vbbg_p^qpy%F7A`x)#quZi){)#B%
z*{3CqEQtc1*X-4i@0{RS>==dii$m{oN{^F)7>E^$_ngk*g0916exYOuh#2p_KvgaV
z1@WT>{24rO&-|BaNg5usKR<M^uos5|8NXw;$$UVHnQNv=mWKFG5!`hO65z@F?H51y
zL2wVN9`7!cg|=|PsbyVBXv3c6cV`Ge`9|tg+oU|0jB*ehlJRgby=c5eMid09eA7><
z5+O13SckcWG`u)uZLX6k1|H(x(cy=c;9tkrb1~|&Fy_tadrV3Ka4Q;LFJIr|-Rf<q
z%8&=Q_RgX!^^(v;%(A4-QwB89%#rL%1dmW|;j{oLxSe-=Y_(Pe9CQ3yOa_&JW|nid
zPfiBzOken0QKbq~k&nNZRx3k?P=br~FIkw?E~b>mt3h?-r4qg$s&FB7H*G#m9@wS0
zaz2WwgYAOTSP4-B+{xbVZt4VhP%k*Fe?c8~7nclvmuSIe&RdDNw?vrbi*p{eRfl>O
zv6XpiU9i12<+`w?2<??p=^le>Q0bktduCf7{_S|2>I+u_Tk6V|^(9qk{P^Irek*{F
zm%HKO9+!zrX!h==seswfg0Eu?hLCf3?2H!+3G$4|XWa)#P+&xTX+X#bZb;s|($27V
zw+pB9&c`c)OPr9*F1;}<rK}$iXi<U!*VmOZdt7UNtoe|6nK2ytwOX@zS_#}H4S#mx
zq=5UKfA5T}30VD&vMvu+1nSs(?%qmb5ca<F<4YG4=n4?2WSt<uN;IK(hKe726#Opa
zIh(+2*#I>^y#nkl^Gb~a2OR!1Ib|wu0+seh9x^S<!snA;qdiVigIyo|{nu^`*}_47
z&p%4T;-Gj>YWyh1!cmtsWNQqYe*)C!eDF|`cEp*_c%IxVdvqhQ$p}i$YpY2KNx&Jq
z?Q&_IT{7u>idlrxUfnX9WZ5eU2XB_>gkEMqrFR>v?<5<-(MXbVpotJ@l1u{{lbO+d
z|FAzFDF#5}*QtAkiyvsF<Qfkfu%npyhsWMH7(lpJy(gC>H=J%eczAt`1N~ZPZ7gg6
zaBID4D;R<UoyvneSP>4<2GP<jYXMAD2~ZfcSU^WAccM&~6Sd!AJh^oq1EQ4bk`Rso
zNCo28ZXDgKKYW?_+D{)67v{AauTz1j2SabcF;3*Z8x?arQV+79cii_LUdJLbs5;Wr
zI8m}#koCWOU6A>k+uM*jk432o9(QNrL^Q9}-C}!n;37FC;7EEecDqU4%Y6Wcz6`w_
z7{TelLekC}*|w6*K{P*}^$Le5w;SXZ?6konCO-=AJW77Pdi{xdBo66(kBF;!p#@>u
z=X0(IERcQ2^c{LG;L!5JV!041EpT%U>mNC}N;dap-CT9Wp`+VtKG$6};ku07mHonh
z$ghl|UWxnQ5WdW>OSV}9CXN3LJP6(*uP4?&f;b%Nu3*aN)7F6Bt{k`G^r(>9;>EWw
z5e|K}R@PW4QHKXEt1o8wX^<$tkB=iOC*l>L;|(FILlcE*VPJq3Y2WEy#0797A6!Lt
z!do@Sb*4>zA4!i|s}sLF|K>#2kt(Z#dTJ2dM>13u+lO9S)Lp8)a{$pzeejlTQ-%44
zWU;6Zj3}1+-pxccF0}Aa;CYj~>fU_phHcE4kd=t;i$l9y$jG{GQIbv-7!Sn_cMmcn
zzp&&;iwSO&&DmuV_)-NzuhdVqUt>jwe(rOi8|OhqxVUT@TNPk0UwrjOgdJ@eDi@CY
z<3-&s`kxY*R6uE7+q2G_10@qYx=cy@D3WUNmPdm!4DR}@#98AIhyDS-N8tkKPojaL
zO5C2$xTezmXUK`Z|E(zyS~`f7W&VsSo>GQ4UIo@S3=SZM{?e&`!9r-Z^G6mtNf}%>
z-8YJka-naJUFyX}MNn&C4pr6xW%zXY+00jOZe*}<bXDMzDEfWzR63bj8Lke9nM|ki
zAcb%PQpFiD<b<yh3fLk6+sbWM$^b9AS}j#;<|vMStDj2$MyCwnG<qf(3jAo=2<Oo1
zCV}?2+2+qdWvDz><D;D{fYfhtzMl@1M9W;ym(`7wK>|NlJj5i3k~(a>KHSHn1GQm#
zT_MWgn;2~*{!j?HwAxPBmPnzbFM<2`zA8iiryU+?6%nMnyLo-2TN+vW1$ZBkQUNBx
zpo`l6qKJ?`p|12t22BXk&Ogdffu-8G{uN6xR9d58yTL7o23^$0*Cka!La4yZlq8P+
z2LJ&7{|uLRIMr<!$L+oM-s>FeoMX>(A0s7&w^S&VtYjsXL`o=I6qS}jS&39A{cc1<
zB`R&QLqulg>)-p2=lMR@^<4Mo`yn5Azwx@3Hin+g(H3tp1m-sr*3MF@_$OdKu9l>O
zhxsiTW+#lGv{PZaf=LZi#L_nli|FDZef{rpn~cG!B&;xXNDUKCHeGuEMHjb=My|f3
znn2act^+AA)$zY|3ASyKdRU!1a43>&3hy~5j(xkSfs7v?{N4@f;q_A^U&9Q|K=qeU
znSH1x5)z!#;&S@<AfF>_VWT<7CatzOkhPHBb8_svus)6s_cOT%S-@2OE>Vj%Ej;IF
zUq08Uhno^knE%YMgu?6FD-+yFsHCZT!COZUmsSJ6DBiPzA5G1tKRhF$@?r05O`CLa
zkUVva)M5=C+U$ew{A9fR)%6*!y*I4Wefak)I-~}-4)IdRm=YTjD%(OvRhQ`(?VbSp
zpE3RTMkZsyyqQCSHVLi$y?-k<0hH$1ul`&j;g;grEFE7>%<!yF9+qOj*h7I&VMQcN
zUb)l2eNr90KlYpq@nk^#KOQj^5((uC8I~-`s<=IoN3TAK0q>okN!6aw!l3r(;>Ap5
zoJnJ;e|U=l=K{LynOZcl?5c_IKU+n-F|FCcRKfsS^6{w5UmBPsq!&DxDT}c;@aWK0
z2AqC#?o-CJI=Z~kx)~rVg(Zte_8XmIfYevry}^If@bIp<(;<^$cp=S-hjSYPv_HMb
zzuu*ay6SuQ<m5zfr+J#mbp;0453?E{c&>uudg)J0KoDPxP&PAu04VQ08C`u>8H<jy
ziUlq4AkDXAhv<2L(J!Bee_T|;qbVC|Wdk^|`Cii&ZhHW+W&U|zQANBSH6Qiq7#p66
zk=$6-M~9?o2giCYc`V9Kxxb{wf=t$%=0{EFkmWyhqf<f_7ix%Z9#1Cp&)}<4NwNlV
zqG8E-hBTgByyqM(y+W8!YyQ!{Si$noGp-FOlIRq|`|YFK5@D<4Ky4&hLEloy1Kl}s
z+*QS7WU+aX==c#Z_4>Fad=L)b^D$lw7icSVzF!Lj>C{}D**goM7J5@zj6{*UMyfxI
zcab=q^-HEm(*i_lql7~_MewI~0c-B9MM9#2CH!=pIozzvGz?f2!o?i!p{LiDh-6BW
zj#7^q*!^d({7X;>$E%|R)W?^J0%=L>DqAy<`0DN8eMSH^|Bjycn6OHCE%<nQm6*ai
zy=C1NGC%6EZ=W>1%Y?Vhl4q^NO`&74*HM;}5APpWdl>nE8P_|IBKF0bz{0JF6DOp3
zF<s2ATECM8CB==u{g^Wb`$mef%5ENXpF1}EMt}`%y@VVehZ+O-j!@IRAGxvbS2c5{
z7dsl&#4hptHiEmqc1^uL#*G#yj&1g7=D-c(dw+HX8Nv4`0VY#NZZs@xzT9EUg_`Gw
z2AuvH!i_YR=z2SDoM-Fq9Q?|Sm&*2$!lDf!CdBP!vp+Y^+LZ(-r1GLEr>;OCuOTRy
zI8(W+xKZvH@oKv}KT11)*tzez0qEBZwq>gD;FBRco@aJ~2$w&Hr<odnWd}$<tl`1L
zAaYyK9U;8L|2|#y6Aj{QhYgh@crjIG>)I9)#vQfsjG*H*C|wM6YuU<&$f9v~W<&&a
zb5^(?tJC0}@1lIK2S2VlIltUZ7DG1mX{GQ^D!fbU6`4sCz^&|c-M?bRk?qCj2)1-8
z2snRVtp6g2@>?|uCC4Q2%c%3mIVUO{yVD#mT_S|u%|o>Thoo@Y#A*GIC>74-FFk&8
zTo^qeLc&H&1`SQ3V-or(z}P;0JJ?$U6C#Jh`rgUnzenhF{Rst%K0NpT;U$V0Q|o&E
zE0IV2xW~#0Hz*+I-V@PqPz*omw=db{E8@l#H!YqF3RJ;_)T=yk)V$dEcJ-?gDv#7G
zrX*7!Rw%nJ=Z6G#^T9^hX=OC4m^(F=O@X~}CokPLkwVS(+dsl&Rnc41C+<=i1%7Pv
zKj%~;jWKWIX4qZSu&VUvKIu*hET;a7%QTY3-d(%yY|2!}pLz2;ghZ%dIUy>o{6!82
zhrCC)ziQyLRI`SGHx=~0s=cM1S3r+k)(P_3KBn}#ov?U8g@YcA<@abxI59GobvK%X
z4`x}%Kibn^Dg9pVI(21yTgHAd?ll?z{^Rsd`c8v<KcjR{B^5NR7#<E5)xnTkGFNib
z3_vDtL1|oB6=!#dYI8X1B2BYr@uRyT7^c6<2-H-=6GjhBYy8(ZGAb|-%P@lElDN^U
zy6X7)#$l#WZ+#S^)lIY78ACZo;g$-D29^gW%;!r{FsovAwr#fwWY~w8tLSK=B#*T>
zw+{vDO$Eo4vP_}cFYr;nj25OuScV@;r{L}Ptg&64W^jrumKQXqg#ni4N7b__Xs8gJ
zl&oa|e2>If2Og8~(hL5~O(7J#c2c!?(@9G>yPxGukT)55n36pY%2V*&#b#EmPAk}N
z9Qb_i02vw9Ee8we`be|?SGqx&4*Jzvk+pPf{2+39D0oa47r!{JI_LoG?yB(L7Oai0
zbf&*aY}CPy{vNK3T7cH`CM1so+UPX9`)JNSGM=zhtBy5fz|-?VXM9YxvE`QYZ-09&
zd@;-3+I@)uP7D+E+7D~|TDK`Ng;@jB<=fK2h8Q4JcC_5yhK%<_U8`(MR54vDRZLjU
z21>MTwa&zoknHkHuFh2%FANErG@00d6i-Q>>kTa|+m|L4DXf6=n(Rcjg$+!X?BPC@
zr-{#mgO!3FOQUW>Sm*(g4d`x9cDov_f#Z2)T*5Wt7~A^hdONEPWdF3@blg!Ltvy}c
zk4cJPT5N)D$r}cQ>G=Qa<5ffEX_+1CTli6^GdX&0je{$@H<321aVM)f`>~A`7k&w7
zc~fM;fRFzgT~gwd@#gYoPPuce*b`D=5;y=r|I01eVWWh`k@EF@A*;mE_d#tpk^n|{
zYlFt56mXii*hqo#k8ob>N!myT7_0xBve+z(J16gjEQe1M*&Fl%q_XHxtgIbro+XWf
zRjxlXzfBOqGOcXe-&#YmWKeR>DM@t8-r}cs>o?)SO>SMsYYmaN6VeNF#4&4Hvuf01
zn9v?GFWcs51$$3jc=@qI6hpns)I=@}5eLQto+qVRLiE$7)@#NhI3VJ%>7(Ef;gAsf
zBfY}{4i%7@DjS3_UH@t0)pJ9{mpe{fALJ~cVBKPm?Vtb#e|1YB4gVrqU!N7da=;uU
z_j`$JW%FU}+xjxwu@RzPyJ(n|FoVNY)ZD5>9=xuRZDJlhMtt~h(@k+nGdTA4ZGv(=
z7e2`_FUhr<Al#z-_r5-43OAy>luyt&G4YC3N%_bmVW;*+NcN)%=x#f5{#h?OZg7#G
zEUKR(=1eEgO_-Yi%PrPZtgqNGZu%puT;&XL)+h6}d7&|k#@p<R=x4=>jMu(58|Da`
zJ2?|WqQ*e${`x&lj}^zAy`P>M`$z15XKgv0XaqBr&A){TSy1Twa%i~W5;5XY9ZFj<
zgca)r77=?E{FzH!^vzu%jFd&R9v?G=k7wDNS9n?QL)sm7?NlbTse5P|`_BLbdF-w7
z=a`WetK1^=gBiK3j>*Ty7(k&3h$?fi;O64~Cx*a^85|tp$Zh~TH(YRKHD*D3A?LX#
zkJxbTy4mr~Su`*XELJBavLHXfFpyoxf#vC2Uz@Aaz@cVk{LKstdT#6sXCLQ8NaPl}
zRzn5ufP3BX@vL~qDAgrwjc*z*eoGhsqXK<!aHlbi4HKN5)01;}k+wrW(ruCgokb0n
z@~dpfvA%d)?Nxp>9I>9~yg-3-k<Z7QM%nSqj=4+cTLrPeDPMNdiUQ#cKU0|habRe5
zTKJ@}Fz!E-D?@zN2bR8^x>-#wd|N%WxWP>X-<AaX_%QT=ETw776UB|>5cQkiD@Acv
zj>^^t5A{I4PgibWf(K(mT*~T6;@EVfW;2@UK`$iV3Qp(4cl(Z<W+x;t<B)+(bE_^)
zOntc4uvGwm%l`^(S>xRk|IkO4A-WK_;K`6w6~b2`k;N+;WUycRN^G}^E?9ozyq8TA
z#^#>FCkeK4*yEu4@$RS&umy#Fmh}+9spUk4>AebgOiiVD>6H!?dQ0*CyDW+cRu|hD
zTa<9_D{sl6CLMSuX*(M<D~1Jodmc`mRmPu@{o52i>wsnH1Jhf<5?HDCd77_71>;<t
zl!N$mp=$SU&g;xl_^{}Dy`Y{NvYqm?Ht^8}{ihKmwfoZ86Cr-AD^GpxpT;?s_vu1J
zn0MUeI9VKFBN{WMHPO~Uz%3|454<;aTpkUTN3Sk=l}&*bW<9BNwGYw<uAPqe-J=w7
zv&_D~-6mxG!une;hfaYOk1ceqcWb<x63-iZtBoC>?;MUDq(H#6hng4vC}VM;`u*+R
zy7+X`aYnYB3SOR4Z<D1}@rp#r?G3|v_^;|jfc*s;EH?zpx@=U#kf){J({v~p6|_%=
zcEbQJDi>AnKBbOATBWo1Iw;8YG>MP&))2(ZDi!P>Y2Y>96Q1IGsCd)<>P1}zV+iwE
zzM3<niN~qFSFGMpv5BwrPH~zE7*KA|mUu~c(zT{INrZ;J4bN{WOPRqr?;#y0c{0l9
zKWM4fq9Oa8k5f#K%;D49&R-3p+IXp<>&qQ(8qREraL(Lo33cKLe_e*O@p$Rjzi;=b
z_~4|DvIf633^32|iDv5H{Yib5opMx^|JKcYrJN3Q`=#rzICRm^Gr*p*iGp6W?>X7?
z08}eBz6iG0MV{le8{ISX(Bh2l*Y8dY*fO*{TkNnl57=GStf7N!rdh(52N}>bC_&rI
ztBV^}a*B5xCSmh~l$QK`Hb9o=t4dkBH_2~C<bJjW_KtVvbfFC#JYzY_{8bzO{_!`p
zzoLrS*~2aKOEz$y>&S`h-()1Oe>Bcrtc06_lvv!QY@yBbj3IX$2`_L({~f(4i??~A
zMCZk9L3a*T&LwG~dS7W*tE&XMY+iSpbJhkrU+EcB)HN}p%+4TSt@lL<d}K}}Y@o+_
ztF>n78rNL7`$zWi;Eo=b<86m+;7++`Y^0hRrha;KF@KQ-nLBgHR`NFR!Tq>l)Fl<X
z>L~5ee*7PC$VlwJueA&)D75KL6;{T8q1Nu=BjZHIBiRW9X9h6m6OCQ!ium)=VoZqo
zcfw_1?j!sJc(-!-@J@R<yw_t=+xM!FVENE+epe_!N@LNOOOiB($6YnNvf&+_>vL93
z*%BS3e>w!OpOe5^*HGIXpMTIFifp(1D@TX7SAN)i%@RWezg4U7kUn}_=~(VI#+qmC
z)9CrLO9YQH&j~9^4$=#X80D*hR^XAd|GI#?5Q?zGm<`(x(XFM1%W^JT!h%Vkw>2j}
z{wq3kwRh7HJ@CP!^uRTr(yq%m=~csxLwmi5bB71%2i84jO69Wv5B1!+Z4Dgg?J8$=
zXRe=KnUliRx7i%j{Af>9<k`^6cc-5yTOa*i#Ys_mt{GfCdhI`I3p18@-WV}%_(?y_
zQXA+!U<&KgUPNsTUL~a5`*(R?{!Sm-@Qj(q%oNCzQ!RGwi$th&iX-X7C%Q(a*Xh6K
zOrVPG;GX2Nc_JX_37eQp2R%RTz2~<-#*pY<b$D=UhPaY%W4G1y6}_#^)AQ_q#;~6L
zde6NpQ$!@2km?Wx>7LCD|HfJ)h~L?*J9TA}=*>$xB<EC2XD0QZ+pcZ|z1{(?tDS#{
zlb4$65~nT^w>Rc|mbqXEcdtygjjaAA97+?`pJuHk$Po=yeO!jX+?Dt<sc?jN5#4j@
z`0-{USb8iy?W6(J#P0WXulq$P<(+uJW%QOv?78MVw@8DNy<@dLv>}2bUBAC^*Lz}@
z-sujOH4jQDjo)U#I!FZUwIu~+d?Mm@FwUG`rh=B6k@tPo0m7IRT^d#Mjrh^8D3yJh
z3V-Tjs#Q|^i96bc=0tBdaV4=>ZHSKwBI9-ub4L9{pXbarSH51tNAC##@k<ogZvD&j
zrEEVD|LefTBw9bAZ~dapoJ4^><+|+_X8pwVjANa(`v(cD7gpVxk@|4|_2}nc$^FE#
zyO6`{N52T3-?CjJxAfrhBa8k22@DYNpA=^XRYr-iKBj`}A9dmERN%?C4Fg2}k+G-Y
zm1Bh2z=$WAUl)pBi*y|?7$hRPeA`5fCWwb_CsM*4b$}Am9Blk>h=@16_>;3_k~s9`
z;=X-p+HmWIdv5yNFJeU9F5b;zicl|-*ZKXC46Z*1<{I~p5PGR8p0mHF38oN-w@hke
za8mS&dLr<fSP|%t*J+w1@<W8;E*~Yq#@9|we8XeJcGZ<lsg3hQrDAD8%{wiKnCkgC
zzW9gmcs*XrIk7-Ulk<ta`dXlRC0?>neUjj(thNA7K(W6rxGWQct(>n4vNfUB`T5;%
z!G8%}>bZE+(N$u$&8y<_vIdmdPdC_pnIcxbG%QlRnbE15LJkPlfU`G5FAN6G5R&h2
z_%;4z!FlH+tk9<pI&Vj^4K(J6YX*i6Y$a^iep|KGcegrxs7uV{5d24oMX!DjN#($<
zKrIz&uNqYM2n^gMEfRm|Y=JS?xUktFw@Nrj4ZijtuAhxsCL*4xWC{-OU|?d>T=udm
zumq>v6lY_?-iBX}A-?>`-IKBCm#YfadDqOc4ltvYlzhr<5h1j8d~deTTowEpC!93q
zSnw2l(+a#GjN7zkJF<pU;MC1ShqtWd%d1F!V`nXj9ulV=EpDj5-{<Q@N6vDfxTL00
zxsW(22F|ez`>H_Tc}o&cE*Fw-6}o|tBpzt7DvdT*fs*FK3(8-3(3Q-gR}In_RA1d}
zuA~Aj-J$-&Tlg_?C%1NEp)9%wT6p}BRso#~4o@8pAxs!rF6XpWK<N`bk8hJzz@<wu
z;q_@@oO<}F<9C`8ZjEQ+jNYaKQl9lXN7O|ztL6Z4T3Q9~XDy$b%vS-|1G~AK$HcHU
zq(0uRSrt=EI!6LUR3U=tO0sdc1lA2vjg!u)qX5}bjC5BOo=_T(a4t#VSZ8wTvlvYb
zsC;o~N3<IB#&Y(vuam`FXLW9o&yvul{*kFjf;ucIK2&ylDv!zsM((UD*G3;(#WBZr
z4e;<dSd_Wu(Jw5wXq*_*ML|P)bU~mNe0ZY~dE<&QdL+J|v5}<Uv1j~glAdJf8QNjh
zyXN^5D^_CrEvR_rfxoR^nGOiuqfFM7t6>p$UQE&s8fI=P3~=<<2R8v~faYcmWcShC
z|J%m^<vyPykvC95_bA`p$T>|cZO^^XwAB!Ol;eCYr3^svo`QqyO%lE+xi{=BV}yFb
zHT&)=8o^w>W9Jb&Z9L+*f3dyD2uCwot~Gg>fbs#af!PinZ0z<IY#lMe&dr67_n;Z9
zKQVJ*Gw9*Y)P!F;pN&w-W~<W~8%q$#yV}csLLUdd4(7kyXN0f%A2E5Zc~)(_m`JHL
z1s||&DcW(y5Tk}2bt8%Z5)#~uH7-(c{C2&Ko~;4W3okqPbTELvvMw{ZnSw>Sg#zoZ
zQ?Vk`#ofNk21d>JMe`de=qld4<-#_7yqO*w+x*lPc>Tst?@yy(wYT8X=>;-gy*8V$
z?SLJ~Jae%0)u3SPp7wL8UK-f5ZQ`(gw;i-6);Lm>^>JFfeDB{HWh}krT>VJe9tutf
zZHc+5i#bY~g0n|u&`{#Xs)K?(c%^(-PVdr24ax+ol!^#mQEva?F=Ypt+Pbft2S_O7
z??7VT&W@oLHp%|^cF-JUu(0R3CXQ^@Yzp`?LGYIU*iuflgVWvqbzjb_W59}7=!(jF
zdd%Z{t)y~WxVx%!(_^P9T5wtU7rM>TwIaKVzscId!Gk4kVPs`&rYsmm2(rNX0e)AH
zcpI=t)EP||QNW6(z=cjnPRM$8s_Nk=174_^TiP?rpnq~k_&GUVh)KEkKGTf>M_zYj
ztZGZ3pT^9=`e*zQE6X;s@fkqrffKP0E{WiirP=wiSV5qf%F8&L0W?xh&CKKpU`uYy
zktYlxcoOrnAUTi@ezqGMoU*wvV1c#}87l;Z<*aPwVb+jjr#Ampf)zhsOmf0hA?Uqp
ztx_6q1)RUP&pl%-5x*xNyR{w@g8!yite+QJLb!8UTgQJ>M6cUA|A$+IVAHW}cSYV?
zKqud&y|a0Pgq%#&*Ksu=7~z=Tn#pSc<C;2uPe;8YG_Mu;*^COp!ItM)j%&T*DdUVQ
zYeFNPU2ffV`o*>U>njxYTsDJMb&;d7<ezk38a|2k5CrY(gGoGpOo1`{pMLz=5&EOv
zCqEcwf>3sO^2&{krm!5yd!c)Bl75NZux5E}9@eX&l~Z8?@;5)cbfC`C-?kfQJlG=$
zCV$2Pqhw6LRPw!jtk?qGIAM0t>z*JiJT3Y(lVS|_ZS@pg%9iP^2Q~-fiVH!NRD1Pv
zR%6(+>C_&zcqZU8ug?qEF9adUAtOzvjDX^BHpyF-1=@EUY}@of2t?Auwc6Q@;Jb=t
zVC+p+@Cjc3?ejKa;4_Pk9?CF;7j=`a=M>pt;pOq!%t>Jod)MYAsALG;J=Z=PT;u>&
zMShj#0ulJTpVfHpLj#cYV7ERm%msqY+2*AOMd8eCNhkI#24H(M@lH%8HyB1d;W6AH
z27V75bPZ=|;LTfJ=OfJvTMNQ-E#1W-H28|Y$qgDDc)Oi9{2m`z->M-Z4og6H<-Ytt
zR~l4|#7n2R3qZgtx=wbvB+OF-7cF^c(9m<dT!&8x(sz~zZ)TB(HqJYhv{ot@m!!vO
z&I<vn?MA*W5i;<nHf(tCJQYp~GA?ZWD+~cG+o;BDa?ssyEr&mV3VV76yiArvV1}F-
z<x?dOV_ziP58G2gP;cw1k)#+17#umm7pn*!f$dt{dQ^Du=R)6kJ8|e;p((OFPy$1)
zce(8<ROo7o77k00fTqyo4_j-MA<I6;YetO<)faZYsQfAkqgttMU9Bn*No{ynV?>36
zHO878_R?^Wm;UY2s45)UkpATOHY#w$duFyilYzN#QxdzRI%ssZ$~-u`cFuF1oK<%@
z@T<DIkKIWF6kHB|8ht~BiTbF$T5Jj+k#ub9t23IgfvdE)RFejGW(A*`H!8xsIpa=c
zixwE~_*8x*mj=l)zl*J3D#3X1z9=0wGURCn+1ynyfY$}eTt;iTvnMLzOU$*Q{lL6)
z)KddUPm8(lP@w`*{S{j?_UQnB80%EgQA2QUX8CPatP1WID@Tlv>Vk!eWPXgJ5d@0O
zpQab6fxP~f&w{~vz)S16dCAxq(!%mL%wACk_q%;7?=19zv&`jvow*4N9=h<@FGB+k
z9684J?u$OK?2R0}yww!k0@5!D9My!VWsWoT3KS4zdCA#&(hNodiYn(eYr&+S5z~Sm
z1;VxN|F}_S4l;%@*S-srKw?<rd9O4DD)ZL)nJ-yD0&QvBvyKGR)=Jk~wff+ia@pXz
zwH1Uf2Kt-Yl0kMVGemJr4}NHB^|M4-!}<pa-8XNO!Qt_%Y>PHsXbq3B(JG>Y%wrwy
zvwdVZxs}ma=c5D7zPt8>?gFTO^EUtM6d5vKa`-AdBt!CfK@o?~0B?9ZYuh`?Aa^Xy
z+OACt9u+<A+zkvc?NzfDO(lbLZD>RBQw?~wv4OfFn*oirP6N-x$k5DO<h1|18ql7P
z$|bZhp!ZzLtCNRFVEFi;x5!=<n2>U6$em_D*TA+$y)rG(U)eQu+E58vtv(B`u-HIk
zxE<&7CQW$hwk!3knH-46Whw|PF<_I7?-_Pn>yHsx{i;q<u+w*M<ntZ|>=BvWD{)&L
zOwUW2)m4f?#_M$3yoU^U&3|voHdYPln2x3-9}x!MR2C`27zVhdU-B#8tP1}rXOy-v
z_~F2fzeBdB3`mt*pUoqy0zP8H6;VE1@a_SV%+3*jGmWtYvBOHRTK`*g#+eP?4r*nz
zUjV2yy_w4#qX=w$H{~_{F~M-kwvA<$0P=P>0+KA`;rtGseIN6e=sUk8&}<s$F!Xq`
zGEqzx0?v0NXQj;3xhtd#)j8<!7n{FC^GU;rKQmA7CC|{?UB^nOj@Iy+G_Y_(LlO#<
z>|+a}rsxxG5`#h+R-oYJe~igj9G-_cKdUzVOYbzX&|Lj!34v2z@=ITc!r-*y`IUl6
z`cA1w*Si!gA+e;6y~kAq)EEz*@!XoEmzWOwYz(%5i;udDO_+q?Q<KA8L7BhwsCJ(N
zWlzmv{cgXa#6m%sAAKV-JN=jb@pMcXL(CikXBMW9Wb%V*c1)$A$}~NqLq0)2#0>Hl
zN-{`KdExn|4NK>;XXtH5nX=EkHibYDt|T*U9w>@QxcbRzj@~F}8|tiY3g#Nu1?4|*
zK?~!w-ASo`bR$uLvV<HHaQw~t*x>;utP9n-;48mKCsDMHsI!<rn4wpbeJclqJP{TN
zU%yP>xYdY43O9z5zH5T*A{?-Dyu-~sca`4B_SHFc&<N5lPI2^{Wrsa&^`oV1%-}-t
zeB`v-2;3X?us$TSgU368?J>?Q@IL?m0RR6CmuEcHZ5V)Y?7e00&2f&s|F=Vg$ZKSk
z%u<vjiXsiGlo28-ij*XkQNnp_6;VcHWoKs3@cMp#d7j_zzOU=rxj*~SuU{QX)8>i8
ztJI)zh~de4Ar30k?dIo?tAo0MWUBceYPcenj6W+v1BT{X)4xa6;Ph~KBc6f=Y_BAX
zWaiNV;ria*f9KSIgUMuDUY`b3M>fPWP3R#qwR6{LM-~2U*nL#aq=7MZnE$!M0Gs})
zg4{`}U{|Y_d`pNH?z%~2;X0WhxA)uPOL<iYOLvrRBh!MuKWz}(7Z$kxXQ;%Yi3pXw
zSJEh>=-^IEUX0Wz8$7Y%zfU|v1d5+8lidC3!DV#F#F~QxULB;gea=Y)&#4!q;UNrQ
zachBQ=O8E03i`|MAp)3`etf8&%Lr?=EL8zXTyQ&Ha^z_+0d|h8C*-a%!8iYfnd__E
zK=IW^kBLZts=hrb<p367mwO__d65@X2b%B+lPZv!yET21jScW&9PS&e2VhU}@vptB
zDzM0(I(gTh9q5<qdN-T+;aVYX`mdx4l+rgp7dgcNOP4mIKV%ES!NBG%sX;s(t!}6B
zzsw1G;re!u9}0tvq<`ki*LYZspk}?1!v%a_`_9*viGpC6eq%=p9wZ%EqI^fWAzLG6
zc63V&8tXk`Ez<B%@?Ft^7vlx1Lr1226(wNgqyjTzDIU)H<}`bh^1*KTPTjy+NeEm-
zi{2}EIGtKaF=xsTEHAc4a7YRses8)(>7)X;t`>5!t_VOxp+k7Nm<%+CK3r-aRe|`|
zWSe)DLg2`ew2^#Q7CzR5@$Xp?AW^`|ML$~vQlcBX)N%6AUdFiUTT6h^7~i`^)?%Pt
zc>V}ixB@&6^$|1qj|hSjew-^#;t-K?QP*}=5pJ4}blv_(gd{ZWXM0ux43A%l$o5u-
zxTWumvkj`iCf@Cu5GM)FDZHUlwRkWgi{8s9QiEAdI`_%~DL54;Wr-*W;99_=%v`Px
z%OS_2rCOyybc^#`_&ov~V@Z%egBmc>XEkCpD+3SxYVcDOM97`#zBMnY1)NLYtE;Kx
zpzFfb79U$8443%YS>DtJ#%msbq8a7EH@0}<%2gta(*6DPV_gTH>(Eoo{gVgTlbWv1
zp+p#*D)D?5rUxpejeZk96yO3uM9j;C2+?nZ`(1Gcpft2W=@z93ZWhl4zWySBeRA&F
zml#8!FK6L?$f5+q((q+&eF8{CI~Y^%U~v87oeM=iN|1Txa`tE^9-=&YTt;63JovJz
z^EXxrWS9klKXxfWwYAyI8&e~w5PI|R=tU)<s#>r45vKs3g=UA1zZk(3?qz(tj1ru%
zzc?5}EeCpaeFmIrBsfv>_l{eRBCHWzMSi<VgWbEPH`5U$@O8;M!7-@-#J&E>`sWgm
zc$F#Qz-to3S&VRY?Z5XX83%4_qM+%tIeWC41k^dVo*$T!gWS5=7^z+XD8FI<<Vgt$
z*80yqJN8}{3Z9%AKgYuhe5Wl&2a-vU&lb#A?j-|!;WxO9YB_-4CQ&W*7zu88ic+{z
zNke$SulF^5Ofct>zZ}a$0`^?GVEh9~U>B#?rZS*`s<)NS=WC3hq=xQKh`a<a*JcIc
ztoJZijyr3WUPi!heJJZOSq%KuZ!moqT*HQHy_<vg01`dwYNV@0z<NA)sV;O56NpD3
z{Qw{=K%MIR0U=<O`lhRh8^L-LbfdbJ0L+G~i32J8FlHBZAK&u>6FM&VQ}-4InRdM$
z7TSDJIX87iz^wv1R_WbfUTg@|=Xx$o(D1;5nvXZvp>%RriBfpvkO7!D;HyvXal)3l
zPg{292eMOkS^g%c0T4urgq)>0AcVkEuMUXpd2~L)+fpBbq`yo?&a=YKu9E<pBbl5$
zcxXi|P7h)^H*2~lnLzNjZ}pBzIa!e_sr6`!E@VV_XXDivKv{i}rtr%%vibS%?Q}f4
zz$khq#-N23e&|VUm<>L{%IwE(2z%*3XYX*3UJ*4+)HU&X)qlb|4$CP8m1)B>*%%(t
zPAX8-yc%!H_ZfSvf8}>St2Xe(Y(8n#riA?04@~Yx{lJFo+I5xuwSa2FQYErz53A}H
z;C@-tgB@^g_E!6*3E`=-(wM^zMmxOo>6hXV<~71M*{H4wUF<d=-yhq?kf3+r=e`lF
zA@4<Q^%D&Mjf}z*m77=(yV)U7nZWQrlPuO)HQ>Stf#`7m4J@bVt9g0C6n0`-+0W{R
zIvjA1CNiB|$Hd+lekk0X#r8gRoXOu*gP)_y!QY;)VJ~tXpDe%@FoxX{r<sdtkl-`+
z&0cs7YdKQdB+ayh*##st;8s*2FO5XA(7uWlt`Ake8e7JCx3ixOhNwdDn-ABDKdxej
zMVRhBYFouf{s*+q?hs+Fa?04Pa}`VY<NWM%+d3x8ohX<aLxhj7E6oE%*03tyDogjN
zO$<k!?s0{O2-p<GTZXhXOua^Oc~<Nnwz`+oIRBggM)IAcKRWAJMp(R^-IZNzlsAT9
zSC0T+i~R4NV%WecP7(i1Mo@srmRF_AOBGPFulgQLy@`dft*Y&GQv%Z^Z93)=JR}r1
zO(ZC8VQDVHo#Tgapb_CfftSF;_{J^is%zWW?Hs{--+xlW!xOYzv!|7T=e3?kJk<^s
z(lP&^Yz!?(y|&c9{!s~vm^X$w%675!07{NH7ka2$Z7<g4P=Yeu<5EG^6p(#E#P6pA
zBj^<r&|L{sgrLGf0j}eeka7**svgb^T-WM$t9~iKko%b4$5<-3%yKfCu8S2~VqPy~
zSt&rvT~ocw9XKFFnF;L_v%}6B6>sMkc{uxdNh=SdfpLwD`K#QVaJtN(=#ZT}@Nx%S
z``Jbd)E{3G(jRcaeI_d<_CIpaRR1z-GMXOp-gX_@(dU6sO|$ElZ_B}#%@%{XQ;cx-
z;EO&#IzGsVrhUkvF9(`we6D&S%%D0e;P+zl0NkfL&i`Ro7Ti?d3_6#xLeTS5;b(XS
zA!bkDU{0qjSU>5X4NqYQpMlC!V|QUVr&Rs#6q1F*F;{P2p5_3>EZNoYUQsCE^K%zy
zkcH-_o;9&<To5Q|EwOGS4juk)V$3FF;qT2vuf!#85IRD;cdS?fZgI+ynC0X^fpzqk
z-3wm0Q%WM!XiGuc)nFUp1UYc_=6~gW{QyJ=7Y;f1NJG^zzb`Ff^1ztW;4vE^0Arhc
z$NLgwA=JF!3f-tYxEH_AD98~4h3cLD->&kISu-$puwMas5C1oiJ|zOTbv{I!YAZsl
zgR`R_mlELVG}?y>#Net|mMWj9GSs!Z2FE8T18wdh!pfpJ1f7WqQKMIZD5jwMsg5eZ
z$-1B_eMl0zm2(**FA~6<|6Rk_2LeRdn+>P$bG9ti7SH2C1lgR%r*Vr!*c<1)Z^t78
zp2UblUzJp$cT&cP+ffbrcu$<-xG4+N_YG<ejjDpsN-RHVN*%sY(uFI{$-$$W2EK$K
zHCStTY@C;;39ACKtLc^s5ciLfkoR2;hMkuLgkrQI@#w=wid02-5oEu^wxR~@T9;E!
zMd<=s;(1R`R)T2n7e6HS=fgA0d-hWFq40*JXMMFYeA=_Oq4rdR2J5zQvwTC)6t6XQ
zj>E&myl3l`XQ~j{fAC(G0{~m;p^8Rs6}ZUK+&+;;gjj<g#-?UQ@G_>ZlDzLhh863L
zpGX8aP<<dSPm~1rdT;@uM^qrcdeEz5-%sSbf~=alNf0W{>1e%%hr2P?`lx5*;pkZ#
z_xmS}K_{EVp5Gb|5ib-b;`L>qs)doq_p33SpUzIybXA6c0-SEnH3=~5LcZ?QCP3}=
zZ%9sB3Dh$M&`_~3Bui(X(cv-yLoI&tQmFzE3K~@xzVbqD_J4{a+r}_3;{Dl>f8V!y
zlur&{V+V`WPQ#8mV@Q?#_V%)?EJ*pdh2;LEft>f}(rg2b!Fyc5bv0HRnofLvcI4^?
zHWD-A*}!NFuI8d~@LCdFf{lcue*MPMf>t?X(?}3M<;IuwLmVb{#J?Sj{y`Qk`RnxN
z010%D+m*bd-1oYLY*wF<Ir8VD`1!mvBM^+4jaj@Q1X@DFck(;d$Q5foj;>rr(5#f!
z<b~%4;~do~($jzBx`&)rdPxBFk<UZLSa`wut8XNSD+RJ>bxE4z05Gu<U}%!$0!;@R
zzMQv|$O_4(Z75+t;VV@B_#!*3&~ePyhfyIzJ*Ti`LqoVn+ZoG5!3>oZ5@sKNQlSm`
zsTgAy1F-&U{<JiX4t@q+pc@#YLSvbU|E44KA!Yausr)()rrz5qPJE<7cCSxY<rL}x
z)$aqFeRX@7iVW_R`57vtJe6={bwn3NTvf_VOgFKOox1H$G*qZsmE?OuTo<wj&2;9&
zma)bQ6&F6FQ=)sO#&iy+bl`lP0*U(BEGC}$?IpD`B{DMaT{u#r4Y?r%8-<`zY{A63
zNB#>1I`FuIzmrZI<PNiXD#v$YLXZ1QhJz{4b9Ni^3m#gK&4D$qjgv8@GcPtSs8gWW
zbLxMZktTf5du!UIT0*W`I?6=HK!G|(B1&#bYXTuCRIsP2oqX$>IBnO=9yytbt=A<%
z1B7Fn;}fj<$Uk*xC6YJy$Wz;LH5|L@u;$tDx;uD;OmV=4aX^Fui8R9R;6Qa)=!tNb
z9GM^+W+krk9;ZON3Z;q1r_?}6e^Fv-Z<?Iq5xHaVfdb8F2n*-?sKKXojlALEd2$k`
z_d!M?B{C=M?r2Ty^VIKAU+m#UGC8;Ylx{O6>eQ}2^6!i)bQ<0M{#;<0Y#02hGB<(>
zDJnZ%pI9csql5P~vPM?OeN-Q94?5tGDD`jMzmY^BkOW%vU#*d|bIz-nTT!EWsn=mV
z`+a93_q%l^Y=hjYLO9OnOM`YClK;5n6X1`;Qp}*^7J1b%5AT#ui&z;lPxJr*XqR5e
z{WSYW&R@*MZ8Os&=S!Hoa+L~fiOAkgw%H{Qdis)eGZ|24JDpwtr3wr!6i#>RQ6NqF
zC|r&`6T)5J(Qe$|XCsHwbM79L$j;J7ie8@u@eC9fXXGh^O*uwio=JsbsZSJS+Owf;
zfpHdpT4mss(>?uR4u|MegrjHL*-?J;5&5A&CHQ@b66fGTgF<bJIcm5#(Y-UDy*~a?
z1TEhj?bI<^v|1Ts+jWr(Z7xb=%=jsS*FVaGj}quncd=*p;Wcg~8s@a~;GY7tDN{wi
zabrZ@hmJ6NKIBDTI0KgWvlKx8reCd+12fW+_GNSNI)JFsZ}hVsR)8#QW-uv)6&*Nx
zl_l6t0L9ImoIb&-0KBoWGCE%D=tS6CmR^4$M6W6M_VD;VcMgllYUOeuE~-xtgWrmv
zYn89;LOSH({pb2s4hk-G`S@M)fFv=Ldno7Abe}xjC^32(f0-N29aQ3G9TrEwRg(l%
zs1$&*kJjP{8!uW4wc9K+lSKCOoY99Y6d>dkj<%zL56QF)+}x{|LVwTBtf3DI;FXT6
zG<(F4?oMyMu6L9{;(~ay=eCL<d{wyqLYg2NvLrMv@5mxi+VZVy!uveXTk(y0D~y!V
zEk`X%<k4|W*AlIL?q&HsOq`w*Ma6QK$($jI=;L=PyT8Zru=B{Uj7C}<)h48#>eN?8
zG>P$h)kFIn?AW7<_K-kS|FKPQQ>dU{t(AEST?E+Ry!j6bB+)&iGLO411T=kb1g|?x
zgj<u>hq?brp$8AMdVOVyDEnAiPcDxd*jvFsyR8f|Rx1mc8ziDfVBz)sf;vS1usAF5
zQWpJF>QOs?Sru*6HeR~5t^pjOveq6Oa!5EP<?WMcRYY5EbHzVf3)--#7gO2_=m}R*
zF0+yvntS_h?$iFA!J2)YRy-7u(+%3w6KZORnOnNzkBJ_PpTs|7I-`V~-<(w**-}N~
zRj&L6N(La3GPDz7ri}Uq<Z?8ws-pL7EpdlAFc{dq7yV;F8A*jc3WzKtB03MX?vg+N
zJXf_c`8XbVUF#YPDI}nY2eP<Gb0au$C%-K{29Kt9=-5eL@F=_9oP3I&1g;~OXZg?I
zk>^JWGtr-lh*rKMWh|crF(~AI2M&*V1c@6oS#qdF#&Aep(ipbv-0HoLDx>GgnjZ~x
zq)~t(Sf*Su2FK0|$tO=LA+P^ZS{mBK(I2LUGwr#?FwZsQ%%-P^&JMZv75)=Kr4Gs)
zC56UN)nV72IUtXgdOs`-Rq-NQ51sY?WMh!7yL~s+Ne-QCYgbQY<UlGNHzxRx83R9+
z`6PR}4DuC<F4^0lL#Dl?$X_hRVE$a;-WE<8ZOk1P&WPM4FR9KcJlXGGXYvAVl({4_
zwcHMTR{EEG(E3YvJdohJ7HE?b#gWiRc5Ve*8#xjmpeFs*2uL?c`~|h5=tVbgj73y8
zW@&l7SK>b-h*x|bJ99$_3AP%c<I_`EYfo0?g)RV^<B>JRe*DPz@JUwNlS|m%1xqfH
z3xG?qJKw9DyePTedb-VM4HFs+G9=VuU?$L7Cfvq_+82>gPx}UzF%w=q)ny1@Pwcqq
z*l?gCpKJ!fqg$Bjkh$Q{f&nbFpCzubvZCS;-tJ)LZLBfs1AQKs0h|o^)W`CN0U7DG
z8sC%I#wyQWHupBv2U_Ctrxn@#yZPbtBtzR4c0b{I#qN1Mc+@1===+%pWj?RFBQ3v$
zwVhgFR(z!k_dl%JnaA&ucW!feM*O#lB?LYF9y_Z8mHM3ZG59TVi_?t2yxRu0#<)x>
zQr7`}pU8{SeyikOPd$p0Uh7!fc`ZZYO>OvGJuRJ~wn#>T%~0jPhIRC-zb*W!1z+>N
zxhXDBlUMa?2>wy4ST+Z3OdU}R7Kk|~v)snWiUmE>#L^WkUqf<SJV_HOe+(z2hzyW_
zj|x-gQm$YE1>5%Fs~V61x=-YKe~@`JPPx21w~U!jby}pjX+TLvgoa&29l1$u>C^D;
z5++zp?WEkI4v7M3#3Y}G<Ukwq(0}ijF#FFg`n-nfaEs&n0IPc$mQI;KN0G3Ey+dy6
z5+!P&rS`rz&afHFq`vp%R^k$7aWQsQ39kl?UpNjXv;DvhT8D0reOSUCqz6lJ7OKKA
zyhfK;^iS+h2v@Kd{W5m*FZQNHSrw|+60pmU`Z1#v#$AhR%UGJ@9l5P{M3~Yy+Z!nR
zjoH2+h0%$uU_lO>u3z<t(EiCx{tE3VmgSLQpgX>TP1+36aW@k{(tz>iTeESjhAlkd
zOV=tkCQ4md>qr2x8+X0>Z%$&yWmIO%3v1XV97A4GmkPZ4!65OWZVGFg6gIZj-oQAS
zFq{UJ3OI{iGQY((iy2DudJewc#01&rncOt+Q1sXQs8ql_=FPGle!zYkJL-StD`kK(
zTz-2cLNs^*b5~L5ol)Mw3RHJ8h2AK^_{CLfeElMJ{i(Ip7sEY_A;v)9{i-5JJubNt
zDYuMWJUOoC)Ib4}uCvY^Bt-~JWy4S8tzgyFSvWo>D#+ld@=i-rfYrkiiicngd)rnn
zpcRCJr`rr{5{vRst5U&Gw!MzUVGb(U6f_XnYfgM+D-T`Ox~3QUH?i|in~f98Xrc9k
zp3~(|`(3%vVYoZ7jrCP=k)NdR_iv;k<+!38gqpTDNsH}bZgmk14F!y#s_uQoCs!5(
zy^_VFOep|cARcvGWQO+i#yfYUW#O2CM_gJ4CG0I<<Yo_KgPaoAWu{^oI65Aaq|c0l
z){zytC_WAlEHK%rH<5u$K1WjWa;V`CTicxz>6~D2h*hs~Od7(Dl<w&rr-gu@CRMuz
z+^}=_@B`;0X^?Q5Q+Yw62Zx<7r*llapnX($jODO2L>|jH-M-)FiBg%nKX3=2zTpS1
zj#nCD7x{I%AMX3G{fjnd1p%1-992=iECoc-W?<)KgG(<Qv&Hs3ow~3=Fk@T_oO}qG
zd*kfzx|QhzH>)U+-XCze|5pm!ZPWE0yK{ob6^jzjKVm?r)41ftBMtIlr}+sxT!5Q)
zeZ_TB0_NM8r+r<eq5rSpvH2<<_~*+V_>@8l_?~!_mo`d6JdMfDcrG8boNrm4Dc_&d
z@q8|DTn09o@atXg`C+!vF@Nl~EZC{Ah%4>?=i*W^7j9M%zHfDpn_rTLwP$KGx-xR$
z7jgaeo|On(CtJNY3ElSq=Rh@GUwL@7NE!CdUktvny1dxCtqe_NES0yH6+pm1W(I2%
z2T}Qhlp47zz;S5dP)@rNG~yrEtq~<b*0#cYsGk6iuQ)%2)2YBQ!ga*=S_<sNi)J$i
ziJ*0MB<o@u0Su3p`aDvT0klI&<?~Gy`0`f9E38!E)aP%f=#VT}m$)ou=cs|<jZ``D
zJvETqy8x<|`yD9R5@m5%9ZVw_xxNf*KwZZG-n2yl!qT17!fVuFg8Bkw*@6~ybP0}q
z(N+RNTzr_ziaLldy{(g%)CIY;HvYL=`<+?x{u$P*4gyZx+OGck@Mm>lWA7OrsLglP
zjZdk=)%n7Kq)&!$-;U~rew+%3^uBHVl%WPsu6VEnMgZ8VI;FdC6X1OGdO$*;DkR>z
z&u@NrpGVJL4yo!Bz@&;Tb!C+REEl?bVy}@v<GnBABW(iYzpJLK^2I|2&#(8Hmc}ss
zjy7b0jsV>B{g$&4`+F$HGpIFf3=Inm86*c4;2j#dbIC;p*v~|>NIRN9cU7j|O;bE{
z`B3^<%S%B2oVoaeBokmOXI8s6s{}dK(Nfz=LSTEF^beP10!CEYIIvR$hHbhJr{cN6
zkIHpA_KFD%&j`)g$I3(Jx8q(Lhne8z1fMR0mI<U)B(@xSC<`2u)Ps(JyI7BN{|lXN
zV~DM;l(Kms4YwRJr0|2InEbT&P=mWMOjZ=JM#oEn`pwilmYzPc*zeevg##q$c|7*V
zHA)<={3|;~cWH&Z=QI4G-<AaDmYz_i@`?hT{XO#T%q}^FVOom0!3d;U$*m!lg7Eu&
z(6f7PIApRnNLj6A1Qj!5$8<{gfI;-a;WR~B^z=u{Wv|x&_BOF@;!fOf-hwT*l!G1#
zpU9lKBMVT$BcSS{#{ulrA-aY}4Cqn#-ftCa4CLm|Q0`VU1NZ7M)7TgT;ussS`R-&0
zHVg$sQY;-1!k*l*5NAXTwU_GI0u12I52PFYjS3Pi96h9Y7?I0a<*x~e`aq-l>J2B~
z4%QNX$*!oE0nM#jTq~>81IrHTspWI4*y9K(2Gg4is6>j-_Un=^JQkt*CoMCF*?-mB
zm5^XS@A<lGSXFi52WiA8diXb%)%ja@r<NW)ANZNu9I6BAiL5Cj`AyihwIjsW0rcob
zozMxJ&)PsZ-PbfoB$Gv}Bh5dm(4(=l%aiP4`~4f&dNtrwFWL2SLTfucJt~OZ<h~uQ
z1%!*IEwAN_kty^?KdSH1p-(5&4Qz%rLGkmkuKe~HGFQ;h2pcaw`c!mejnPsQl9poH
zcnFK+N%tyKbc7zI*JTF;RcL_W^ob{DHCM<|^K6&6is;ePNK<61q5*TMiy80e*U247
z`R^rF1{8bs^RdX6>X5u}t6TH^CRvZhic)%z0qquX{rD}X4xR<dolZvo$X(}_+H~JB
zBKLrSPVd+I{j1>mIlXF^JZ-g^-1mkFm7IU_ie5_%HaYWodeSM-UFJ0+*29dNop381
z4XWV0c1FmdgAzSv;$f^+VnufzdDQkgt3semq(uZL4mquL-~3y|h6)BG_;vRC_xLzR
z`Vkju#PP~3#H5%V4IdLO6HX>VUK{y*QV|X6jw|)6&*4B*G?nT#nnaK>3gj8(q(gEc
zq46BAIZ?&M&|Ch)1ejrc)m3+!9?4l1K6dZmLW<3K??aObFruzB`jDRyJt>w<-r?av
zR7~ouM=c0&xi>z%s+I}8VK2`(7{ZIDY}pcSF%W?Nw5xnj9199l40!o?l@ICF+{cV^
zRA5y2OWOK*Hbi;)>vz9Yesur#6TMncf!G!_s$b2Hx+Ga!ca91oPOWKqtz|rX-<@5#
z^OFM=Q#JgJ&=W>lS}k%36?iz?z>_mW!-dQ-rTAWBQIu}xFp0~+gTB7}>#r8vXyePn
zLCX(fXo7AmQ8Wn;oI@N<*YbJLo93rz;I}xs)XC;ulZS_<lm~07!hGm3^D|~MK}keU
zG+h_{wcqJ<9tuAT51>Ml*37$;Qb<nTx2uV$0#1@$Htdc9=vx2KR&k9qDmscUO)1{L
zn>B~R1cZc8OMl)KRs~svH_*NJpE3cCvOmu+*cL`B(XUfp?f1)8lHDJ{hx`A$@sRjs
zMHDGG{JLSyqk#PGU1e<*BSKcs<FsxnaTK{V*?Q@oB6{jgoIO`Z1Od}W7i)PWP(Ty4
zl|H31GQAy4Y`v)p9l6HVazshgNlf^t=z~Y0J?<w>z0`m?d#1zDcE2m}DQSm`RZ#Xj
z%je0S>Y$Ial^Y0_Mky0{i<y4=U3N{f@cMNPPzwKE8T3E~Rp;;wy_q1O#Fr<8N~$$s
z^2)7T+&ft`9maR5fkZ@yPqBYH%BKzg0{{U3{|uLRJk?(q$GMlRY?8gMecfSZejk@Y
zWo9LWgoKKs(lSaRMUg0!A|s_FDZVG-CyEFqE3z`m-tzPB`RBYo=XIXv^L}gD`Bpx~
zm623}W6sVqbkvb$*7y609#Ark`^Mg=AVLcEWLpd!C6)C3m1Z*lrl&aV{asZQmS<tE
z>On_)?=MUa+%SYS!{$sr7d6Dx=1UT0p(D}YfZcH-#?U3cykl-s4e6Y?J(O{hhL#K(
zY%FhK@Y(mDk%l7~)lsJt485u7eMk7G-w^<=x7Kr>UnL{9s}`iB2zBJ(aL!Oz(gdcC
zqhCK`$Y}N#7iEs2hE8ro+%S4#0^jCtv<O*{QEttzf3F&pQU4vqUtyvQKuLU@&s)`y
z>)}#cCuK#%)O_}ZTrdNiEoG<FmDG^KV^+}*A@WGq?yQ3NV+NEzmAkWIsfxDvG^R%(
z8Fc)k^S75(4EPwU^`E?n3QAp!E1caUfpQ+cF-(5P0Pig>(-VTqC{f5D!O33)dFmAN
z_&s2N+e$Urp+OOy?mO1r@mByH^Gb<IJ<fpR62y0@feOg?*-}^XFgJ3HqjdGCGhj_(
zG3-5ogk<P$&Snc+(Ea$La6*p>2-B5bJKmN<!6f^ia{SC__&u*ta-<2g^yW#iDa)ci
z+|gkyZcF&uSB-1sQYKKRneDF-D~<lJzB*7EHic*0da$7Q8o=C9wsZeC3G~oeaj)F9
zL7ZM6S-@ijV4QwyiN!(;QSzt0s9AR4!zThR?D>Gfp7BBJ#9k3Zx)A-n)#W`-dk~!G
z|JNAg*KFQoWD29_34*Z;vQd~T+scpKlAGu4hqvvG6GYx2C7JW(<=B$K#dNxj5twne
zPM&(mk0^yZ3HOWNW8ER=?~hzIglfUSrwyNZkptaOp=MV#R@mco;pck;=%sW2RC~G=
z9k5U7F|w_~ZcNVy*bxnYl4!-#)W?DTb+!_UTwY+Gb2{tHcIyLyhmS4Uiw)V1&03E8
zUBbSX45;O&>Oozz!u$W!S<!Cn8$&Im1Sf_Lo^l)A0dMXrj|X8y^n3*0hG*B{6ThF|
z(ZqJZ>Bc(6!%57@=E|EJhxa$*@fZE3Hqv#0wX<_~niLZ{p?~<ZbxS+`U&he;<W(J*
zc-3a1^I;ul-}ohPU8x(NB6L~do;nc4N!uS)yo$?}?Y-=2+m9#5`V-w6v?0^ZUHQQ5
zGJZk4>A}(TL7d#7&SSbm8(IbW8{ft);b}~;acgP>Pj0##WnZ8Ldu6!GJ%bkUFiQco
z%6;Rw;QbQ2Kp8C<<IS)7e0u@E*GD6y*ZskT+wRDRrE5YlX@b>ebsjIfs%>ASIE`2R
zVpiS1T@(Imh;doSn8$A~9NqSOVFq{Vuv%eG*MP@VrJ0nFdHiU}<>kbVIlObe?v$sr
z1_+K#ym}KckB7a^k(~Otfd5jduJwCD2mR+y6S7L@@e`$En!RmHxP*FbFpoAJa;|KN
zq>3-#^?6xg`05I7*d%z~x|Rk$*MhdrJzc;TTK~MWGhN3O>nc7e?5BY@&--zKz(u@o
zYIZ*V`38P*u)devPX*~uC*SOHT*58dU9~ev%;-XU=3#3QDm+!?2=6?yjE4l7r+Zx^
zpqw({JM|6}c>J10D!X6>FZ-}eK^!dT8Jm_Jx~mRBcil}Ex3A%4=W3H#@>!8uM*O({
zFd2-cO)5~?I-W1IG4?8e4V~k1$lGE-hW#E_th}#m;KeyyjcN8A=x$_Z#`GOEa79ON
zd)G3d0>_J$FMPPrO)n<RyX&e@-)>7R{KbqIj>#K)A9JHd6tnkgpel?9hWsGN5K-_7
zedg>|K9pc#FB>qV0`A?PS{|KaK{3ofM8KOL2}3l2?}!S#+djj@v&M>Wu7T={9Ret`
z{ypF6C1og!>^i)j&4#r1y!ZWiR0#c8S7dL$tqijQt>;35IZ#EG+EpoqZHQ1JuXhJi
zhR=;dhYI|-(7}L`3k25f=(IscRoIFWL<H*hirwT!_7S1(c06LJ$53qU!hcFo+$-W1
zFwToE!RH&VO(oF!4=-Nvd?hF&$1j%{^CN}fF`vRbDMYwg`dI#<5?rq=Uzm9$fZk~c
zyq3$9L4h72cPCyc0nhcqM?R`TNKD9F<_fbM5`NS2(0)`261rD~e|`~0c<$a)E*Inx
zcXWc{e@4o%I2|1!lrDnw<XVf}gcQ&%oss~Tx61HwYv{`(v7*S3*F`11S`l6Kym{!Q
zuL|fsJ#p^GU2!y)M2Ky<qKv+Z^jnJWQiZy2H&;HiNFvhf11bNxtD-w=9Lsi|Y7i0<
zX5u0ugG{ZHI$RlKBpi0MBj6nws%mlB7-w0uE4jAfq&fweN3G6Z@}j_wY+igQPY$u%
zoR4ea-0UNd)1D+X8pPdHm=xPWLM&{Ii++nVlrTRbW?)MPr^v8VFM<`&HBbLOj&?d~
zTPqu0exLyzSX?=Ck0M&8i^dM8YoI^byZIM3=k#suKp1h4GRll?8(KBiM2&IY(AlUB
zEEU%UElO0-wRbi;m&!CzvY5rL)=XV^mN%@(%%+CS^v_?vwxEefpP5%gZs|cKOL4Hq
zW}c9{z_&D~i8uq#_-14pz{CCPihM5WNV5NpQ%b%jN{ihy$XRLxliGbf*NrGhoOt%3
zC9ft@_z-i-tOf&~zpd}Lk5bUYX{V#w3L5C>^Mk+SdjM|4lo$nDQxU7l#^;c~H1sTP
zImM>N1P0F&%1#}jB6D1JH2x0-?F((sijQZ2P=sIZx)v3&XZ!nVrl=v3chf(dVhUNl
zaty=go9{bM<GeGkgi6-&b^a%&5cAqOVYNpct=TuV{MII+Eh*CX9Oq5pp}UTk-v=^s
zS@k?aI46T_Y{z}2Ma*EU=_jkpfoe!DLdq!bt0*$A@aPWbGXt0WP=}y?6;#1g91*WA
zi0=He$=Ee)3InxIiVsnhQGgAhT<{tv8ku+<la^@;mE_ihId4V89!R;rox+6bmi6ur
zVWv=V0kx8^l2BOHO_5uVCUGs6%G;q|7!cIB>l0If9AYZJyN@kA4L47S;}~*efM8~t
z@<@velI`RbmU9}$6x}~{FSVJ#xP*4p9$qO#{2=;lNoEeyoGVTVwKIV<CnL6-55>?n
zb^gqE-&QbxmE0AjCV-k}mO1{uBIscGR}J=p4J<u9M@(?Df4il>D;0VQp{3(N-?GD*
z!6faQ8Zirl!mF1KXWiyU=hu6qdLsz%qQ1o{sK^-VzB{e;Zs9@J;XP_@tV9sM=;tj{
zV+85*JOXO_InYdKx@W5f5$5c>zV7~I2vD6FeMy29rPA7?6{Uz^5nlbEYO5jW)L;Wn
zdzex9(<>hDy9ux`WEs2-Gk}4!!UqZ~SMiWk3Kz#E0w`SGL;rF{A6QOX{L9Ro$5*O7
zua627fYR+9b?}`YkY2<QEmfxQ(^nJsJLfaQnFEbS^tR}MW@6nRgY;p1_t5(1?+j*m
zae#Kb%V`I!F>y1G4tL=j|8!&ijxs@$(m|Kzr@BB^4^nx&T#pZaOaB#>%>;YJ95RbI
zb%Cjb$<yV?ZLIXI@PJMb6TI|3c4K>x4h(*>qX+0UV(w1S6=ilzFe%e}tF}!WOy(_j
z>%RSt(K_yZp0#0udV58I5EE_qP1-iJc%&Z_lyl~GJ;DT|XLo3fywHM2%b|QBoWoc<
z(?O@zOeP?><rFR|Yk{4)Bdean7*?b8gX85i6FB!=FTaqZ34a_eI@Y@W!E%17Nt${y
zg9u&9;Gmo)Xyh5OY=}%_M~8h%k4`hgxx&NZ(T_DC*P?NmHZy~*bUf4hmqmcQ^~-%f
z$QtnZ)9<#sHFH>DFSU9im<WXXch0+)(_z5mDYoy{0;WBxd)(<D3((|Mec3JOuy^uz
z6|4UeCUPL}P*MmhWc5VW^>xv}F_69DpZN-QE;p!9qhJeUcikiW4W)r*!&LQ7y*2D*
zf@Pu*J3CZj*8Y}!G#Gt*cIdguKdi}D&F4TO2h3X@HQeS+h33_~-w~Qj@FLtx;ta+G
z+EMk7ON%JbHT3P5w=*+zmHiB&N^!%=ZDF4lCJGSUNE<#k2(YKn?fOl1UT|$)up0AF
z2U`9!i$lFc5bllUy;#l%E1$QHW&B5m-yEgY*5<6xL*!W$Sl|cCS*l0wX8#5s)$dgQ
zyakjC0)L*j6NEzSCT;eu8t6ooC(4AfLzt0K$+u5JVEm<LBEwP*iug_nA2Q?wIzHHG
z9k2}qE@Zr&9#RF4jrYf`$y<T()IC#@yd8FIOP{`+tO~Oe|I(ax@xapTDb)xeF=$PX
zxS?sM3be+q3W7Nw94Omq8mk}yXH73AtB_RT>PwB^r=$6yM%_(?>Lmq7o*ZkR=T?Pi
zS^U1s4*~GH-nkLuBLibdkLM=8Dr}wHS>a_R1fzpCM}(irLe$?Vbsr5?$o$>7s^2RN
zCyc|zLiyyuZIzqlz)4k*@6-G4kthN}o|$E4S4pr{HS1<ymnsxIYClUjC<;!gq{>Ue
zieOWYm-Ys!!Ky6Nw|QG}`1|&0#Evp0=(+sIyoySO^zz&v5k8V2$va)_>Zbxn1yZuj
zmDFKTnaCk_R~kYue=t8rQiFZ7iuIRVDPYz#_2}7x46xoScw{p|hUgvcKZ2X7@LIdZ
z+Kws*eFwSJ`|~KE(<Cs~v&nCAr<H!WpOlBSbg$+~bs9wGzw(i6paU*cw$NQo0$aOj
zRfkm?WZq!wlwZ(*4~aGY&D#_q^=`oEt5Q0I_FdG9+N}jqb<RYgqe^gerTcTPod$$x
zSbj08(}qJ$f&Tm7D1)H<zH=NOHDF?L>rM|}UC?{}@eOH31+I>Y&R^%(gvDcZf37I#
z!F61wWNtH$3X{_QL!0wv*D_{YvZ@b%$6_AE(#Y`S{B}LzISoj?Bzs$?*AOP<(+bQ5
z)q&J(GIudj14funkn(V2$c)K~`%$9~=Ht(HRMgX9_(E*fV~fo-xjm|{QI7%=f~x%W
zjWn1$KD_o=)&yc&WHcd|0&>e&tU6?=&{*@2uKUXbOqwq&-gTpZ&}&h(J~J}3nlB5y
zyuyH2XBYey2^4s4jVwFGRX~YAALd~*h1)}9;z@6H$oSn_ELEofi9Z_-*?F15D{Egz
z*^6Z0mZO`Q_{c%Jyzsz>+onLl7pSifszDu|B_*dS1xxXsg}o0=;Z#b>0Ndt&jOV#P
z)fyH7?Ul@i!9-Ko&oziyCn>|0jJu0N3Ic#nyx8OKZVIl3TRD#{D#EVVDT!4MPDoC9
z5%x^b6ud;t(s%AwfZULazQ!bG(8+lluJW1z7vc@?bKjPSQKH$k6q8x3mL<YxeJ=w-
z2^GDwJ+ctCuUlX&qYKNsUBz43X#(v}3uC`fWgy{|s=&FX|8Rp>oevGXOhD7-&nq4o
zN$3uF{!z+&2><YrWE?dNQ2s1)lABEonyZ8ubDmT9p2w_=A4dV!=^|Gu#YN!w7l$zE
z3v)Q7CiV2kAq<}IRu9#A3jzJDRe_k<A|5&3|M1wdF@#9T94_nShmj|*oLA?U@EEiC
zzGXpUh`m=>{al6@zB&{Qx;8K4{i%*(qB=$Zwi9Yfe>kDcVV77vaRvX~a3+e&(-1~F
z&dQ&bV}k>JsrUM;mhs4YXTqzK44}Bd|7v+T5zZvonskzu@gFq)^BWENU`cE{G+e+0
zZemV2ZQl}p;NWxjBV77$kGJSv*5E3pwz}{v(Q6Se*3BA7x7P!ALVkQB?;=*3oV+j9
zdjZdyw@V~v?|^+V?20S(GuUu&9`TjWJT8%#npH8Y3vWB?<Ngu<U_DYrioGFoc=mDO
z;L*LhaPMj12*Y&*s|vj7uaPo~uLj>(^eWVW?Qh~_@1E_);w*B)lUio*6Zm)N=FtId
zg?jnMwC|XLg%d%9JcCR3D=-U(YlGaKXYW=AnlKTKs+gF(Y255;{#eT|Eugs9=}+ye
z#Ezcm@4UNn8qW<dtnYKs0;ZrDH|&fX_Lv@*>%lgSOTW&)#owR_`zu9<-v_<H6Q^5>
zJSL}b9lOc9n5ia6Ji`gyhwE{!1LszLEKcFVJfr2ikOt^J)Y+vT+k!_h`@Nms^wSX4
zCvVwIGyr>1>y;JKft#ns?5R4tdGDi;4&Pcj2>sCX#<;ui+YNm4A+yu?*R@EKJyvw!
z=lm|&71)Q1mYJjnCC%XTHQrO1-)W%g$|_Xc+K(&Gu^qH<oW*l3Zyd7rqrv@a>2<M#
zzwk~UDHy@#a2G8GDQSiZU4ACzr{;!m?+s?JX#075=}q6)bqOjEIi{J8aE{`SrF<(&
z6BlqN6|;s0D+*8-&ee{pkKyW<<jc-3EaGH~`6ELy>M-PP^?~L)f$w05lFbs9@rihL
zR+DNn@FZA;TUY$S)s`<vEZVQ)PnC_Ye`6)XUAoZ8%(N*Sdn<8l$!Z<HSNt)&z(x)H
zrTvRHMyGLY?Ts<b$PN5x&8x1OELE^NZWG;OH;bQ-w>3>(VnW)9gf`s;75MF^|9525
z+xrk(Vz3<nEeLSY75AyY04^J_6tRHsE?KN#Zz3X}_7k!1%9P<t?zVEtolAK8k;(sV
zoM1&w{asIY$SQ;7I5i?qX9cfOAbBTXZ0M$dT-A885)}R9zCw3g!*g>!7!Db5Aa&*g
zFO0S-K|H>%zxeS#{61TD`#=B}Di=|%D7mf(WIS1;B9#dZ=5A<dv~VM9vmyU+5k=tf
zb8?YgW=6X2idbg#_)wSI`To*E1qhu^OHn#cMD3Vyj(!n8@^RRuyk&DA4YMeJR8V9^
z84>*g2N;6LL-R!~_Z$f#qj$Y{wYUWxJTpxQ*bqWrhRX)^3rUckIw|^co*jigWo*wH
z-i9>YdIT*`kiaz=YtScgA#+0E*<GvKQOlvAS}O|@)Cr4*=f-j)?eAQ_i$EN0w8f_W
zr$GXvsF(T-0X`&4;bjmjBoUevGkK;-f~Mx7!4DVtQEB1MGveAZXpAFr;F>iF7Mn9%
zs(1uZmN8MRH(wUT*Gi8>#FAj`vhkC+_d;k-0GT0gD38|MxB4CUMS^UT{4W3WZOCY(
ztyp`4gd%om5|N(*T#Y+6?Uu0}waZrDOnIY-@=^)5+~SImL=R<RuM<PA0s9<_A1b5M
zU&CTUS(M<cU25b>aY=LzDOa9*q>A(oKfm)+O&Pof@ZW72(x_Iy^@BnM8Qql?dEa?g
z1&02-%@UQDMe94aB>-4Jr@u#bQ_$&t5dke{H7KQdR<I|?p`h}Dp)Z$cC^^<BD?3mf
z^7`~i7dHLZI`4)DEs>6D-R8;615}{?t*+y|p@5QtLv`5_HIPygr&^T<9g^KG6Psm}
z5OvqfYI2w+;z_Z#S7O$Lzii~Z-LI5U$7ox}Cw(oXey&2a<eL^eccgIYnyDfeqp!iO
zO<HJWpKIn|uMQZMmOqTIQA1UEl!SbeHVXUNVf=(w4|?~g<UCPQM@eI!L_De5$eU^*
z`Od=tV$>to@Iw?7QOD~oHmHT_Co`|6zcYeL&CkS30aT>Xt2A6{poM(L-f%8(0%S?<
zHNGH1L)o%|BQ{!_9<5s<<*aG~4wWwT{q{6e#-Ft<sFjXfjc14~bOs!ZpFH!=n}#$y
zTYN2KX(*#(if6BoDTv$XS!wR1p)=l*$NYTAs7>zayTC?M_<L1LiFt;K)_1qLO=v5l
zueS*WNw#LdHy5dG$wWoMYtu$U!}2Kmc~xS-12YhFY*w9mr;c`~ylhwBD~%Lc4!iBZ
z&A@(im$<AZ8CBnSl1kDOL4W7TxsJtVa6H*5=;U!#R5#M=e>9&L?M#6vk5gvgXK2`n
zqLq=vO!OX|TLg4MzNJlF!VL5W!hIJb6cK@I&OGesB)+vH=HyU;DJT=|7bt!tMEhaQ
z6n?828*EtprlevDKGxkkr|sm>5B{iW&3`l4xkvY0QtmT=y~UuVd6x|0e4a!(hW=q}
zZd=YJaBupu)}h+t_aso=e!<GMFGR?9OMW18-ULoRe5bk8y&XNPmFMN<WCM}rj#TZx
z0Bq8iQf8cmQBI*&)ge<3a1ox>es&nZ<A+D;O925iSofewpo9}lr`B)U)L_8(`=q_U
zG!J5H`dE|_$p!vjua{c<XAHErdTFMa>}Z`w!kWK_3tk+XfS7MaaBj-mzCM$P44$mM
z*f+!lXZ=q|mCYJL+Q37imCirheZ`{JsEiBz>c)4NiW`DH(=gL9kp=wN-o|iWUoKGo
z!r_0!$^i64p4rD|PU83O1sSxmae<HR?K`g5^x?_p&$q6m{KVg7^j|M}!U_0mnw)i$
z9$32%Aj=mu_)n4_VQwEM6kz*^@#1=r%~^1Lk-H9~X0MM332?&2+jn?^j_-ikD9LAE
z-uGa_Yq7n@esh5N*+;#;pLF5JnwWvN?Fh#C$o2K7UJl5xsHtS8>Vn(sN&Q!Ie=vSJ
zi{RUN4w(KJ8Pt782h6K(7MU*2V7dQ|mkiK2!5~sLAb-nd?`sY)$x#+CoFSOFGno@)
ziJpAw5!!I>+AtHZ`Z8uX?Tnui=K@|SgCT?Y&3>Pp`o+(@hF#<~Uqhd{;DKEP>CH(k
zQ0O?opq2f@c#_ZC>?_y`*5iWtDa)F$d|dYQ`$8t@4KH=Gf58o(?%3!yM{jzupmJI6
zA~U?x{o*h)%mdj+ZB>s8ZgM*1j%mCp5xSC(;ngHQ*wro>edCD+7)^b>^Ya!9gq}Sa
zRWr#4&IM#AJ5vo<DV<=nPOw74EI)4B%nxM=^0!BR(V;je60@^s1E+&cl`ahe@F#6f
z^;R4m=B&evrRv$CbFNl!pidAUvs9jYtV@R=Gn+@PcAVgQ{pBb-zc3`b)~iH~Z*s!L
z{Hc){E-+$KW?Avr1{Yt@RUhQiz^+N#w6d5RynMDhjyH%vYX5n9(h(Z0=~(BbU*!d*
zpLMbPPNFc-RARrPMcd@kiN5de`CvDtO){BT9DY+6?b#eONIH70=z0r3<ZDT|ooJGP
z4_{@?zI>rV;jOXU(K!LAI4o%vQ7HumI*vOFA5p=I?I4G}x)88mJ9glfpA6g@buLp(
zq5`MzTB7hdVYny#{dak!EbP>G?faERg|}4ON6rJ=;ES}sb61fZs8@~Ie66B_wxqKd
zo7Z-TwBTzq7?p?pJqmrIL>i1`1@|>9iGtbwjhG~j&3>J@AiGPC28XxtSdHh4gVkvd
z*^z6CaCk6+^Gh@hEQP+k);TE&GJ7SsPmL?VnZ?Q4qCpz0D4MACJ4wSeDZYR+o1Eb#
zLzrrFr-N@@RulD!44h91DB!D9g$DR}QGJ>Y5rJcs(wja^^R(SW3Nq-ND~j^Z)`0e(
zJ@OZ-<Y4rqhw}1Sb$FU(*w`JY302Xh8)IMPVHokTbyiVeU2r+V!C4FJXGt1P6C}_{
z_PiDPiwfrSjGJE%YQxU4LB<SG5lYXvohb{Zfz)8K+y2WsaCVpCL+Umq82Y(=m-81I
zNai@1KCIP+s$~z=50c8jz5Gw%0v{c;n0uq9CG_Bw_nrsULMou_up`w&g%01%$_ytj
z>%)37!L)Wx1uk9}IKC)M2M@TUm$qyGEA5G&$gfpFbH~rhv{o84Bx@U=JZ1!Z>$wXd
zj%u(*6xieIPJ>HjLmq8C#_-wwD|f<2HR!FIOTQ9Cg*)Z45;REw@|O9pHaujIqvYq1
zHhuJaxFeHiC4g|RcVDkG8E(h9a~-c!1D+7ou4lVVV2@Rx?9!?lTz>4(^6ZKV*l0gq
z6M1g}+~maX8V}V#isCABZ!`Bh=V7i#k_^}_B1RPwQiJU*R%#P*Bsle9x5yI@2BhA3
zRleq+3Q<p=;4hYBA!qP-Z%Z@-i1OvVe~+j@`N+LL2_sVAMoLl<PGmswO`S@^{mL*O
z*T?fiOboi#I!aDoWB`|iPqm=xrq_F$EBwqAhH}Fqo+eiY7|8|n2oEYiYu(r9j#>PW
z)-R{!CC`AH-w%?1Cz9ain|V_unXPc1Z$huI+XV9CvO~M+@{s0iUVUqo72@TjRrupf
zpx=-zp7m80j^9d<b!=jSebt_iUQ$dTxySW8?^zj$+4D_BOLQ5tP1_!2`x#(uHr0dS
zAO#1z`~z$)X0WWg(^*>n0E&-IJ03KP!xX<jMat@L41a5os?Q97J9kjr14SY5ksF~+
zZ~)7_)cfg?CI+>cXD)V9L_k6)NxyOCJ9gGJd|ATR82FeEanFbf!}l)bu$Al<EW^)D
zz&FDPu#KHpsZ>GmOxhj6CD4d%TTtYSZ!-k;e~;<R$M~W5&^Jj_rFty6&_+{7zz`bL
zPeqNE@Pf;iZ5Qg#e8hfUEC2D)!2tdp8aHnGwiT{Ovd~{DH(}96i_0hP>BHXUYvka)
zoUjp4yHoL9D|U~nyVLZy9&~!9y=~@V2XB_v$9Mg{VGvdtrDC85`A-BUuJLby8R4MW
z(9UjbTv$AVCwT{a(>B&zabbb!zW7!46aCoE8@ybtle+NAPyX)l9s>Li0096043~Ex
zl@An#?Y(C<*SOQY*S*&s-?6EXsF2Et5^0zf5)Dx*l$44TDNz|Ad|${fvK5&{XeoQI
zU;mze&pFTYzMU`Q@3a+;B0;qa4m%w6!TzrBww-s_Aw|z7Uq|i-a^<yQgI}>85OwQj
zm`QAK_IR|@-MrsO)otGEQ;K@v*!{_%Z_g%jVemq|_^wGrPNpfXBT*L&Pfudorq_{=
z)5z17YtzV<MoqOpYb<E!Kt7`VYluOOwd|MpS%iz=N+pM|APHadXi;np88w)36-byz
zC<_8{5r3Fa?s{u`MA9mfqCSy%`u-v^=}=YuHjoMUkkR`WZB~)fWCEW|(=w9K?Hs)R
zhXIA5R)48xtH`NlbDEFH8gkl0g@6lXKt<_5z231^q-~7<*0Ez7h%=S)n!KR{cl-~y
zEB34+A?ZV*W07nCYo!75S9IWV9l=L5bPeGO_?T+g!VahO@1B}f(t(zolG<NZ>xfr8
z^GAR_C+rCSb^C2G9f}*zAEVlDAW!(%DBhJ^P%S$B_@)CLp6(BSzZ|=XoOi#)jkxmw
zjBS?{?V&-^Z#%pAa5nhqzSQ9+%LnBV22X+&XwY=G-F~MnJ1k7I4;wA<!*d$(d*)#(
z&;hs7$K-%IPw}$+O+h&FVl0mX)dm6MUe4X7oWPle>wKsq0*CQ;cj8pE0mo{#vGC)9
z(_a0?RC_Tva~@-4UZ%jkLl2^SpL4^`!+nElsp7zY>}D);lML@&dS7C)yujywop)_X
z0{ZPDj6TMa;gc`w@GzGTQr7YJ)S{(;|LNRthA0^XhngL(c?!S{k!QezlYw2m*C;&&
zBnVouM(j<5;1uaW0q&P9=z8E^D0`5=c0|X!!A=CuR2KG)_s9Wzz3PSSawK^FeED{o
zg%}udYt-icQGf_NYVGw2B7|69G4nVr4&hV|lUQwKsQZ(Udb*nkjF-K>`&uNxtB$Fi
zxm^_qgp_E`J|d(a-ace$Dh2DFvg*7UYLMRZOY+VN5&mqsvX=Eh8b)OPYk)NzxLi&b
zBAbxFi1PRO@F`h1Ir(LrD_jHkB}mfv91^VF3>#tC%fV8e*4%z>E%<ewNs4EYp?$eW
z)Z0h_>KDHCgg(K8)7_LqFXqW0TRhlP<e&tmC)pVGo<#5?ulih?pg>v(Cx3pN3S6PK
z><?EY!!rwg1DpyKRJ{`2r+=%$rIFF-u@MSvI2JsAkV*qCp_s7!nm902sdu@QM+J1^
ze8XrS9ehkPGOq-xgOi;wUWiTy)&pkv_5vN~nhET@^hN{Loi$@OHt8TkN`Bn*nE}(|
zdnR4PwO}aG-$tWK2S&ZvMtG?#PzWm!Y(IpDr;{-aY@Q7Gc2~+<?U^n-&Al#}S5APs
zRaL`%-3(An%{{<!(1$*iF|l21L^yQv`AmZv6JDRZeQ-|15Z<9Tr0hv#Fej94vCw6L
z)8x<pynh(MXEUC2Btr_E(TI6K<Y$8I&_ZoRs|obTxanK}yGIh=q(0#`1L|-*N6Smh
z;J<6S>GECLa0?$kkN>Iz<tfS`_pJdW=eYWWw^N}JuWl^#jSl@i@*Q|JbKpG53X_kg
zf@_9GpqL{KWPLldjK<8t<7OIPbO;sXR-E>I38H`{b$(nZ$pU=wu2#AVR4BuqB~O_W
zp-SZW(=cI6IPZJBYU>$ocpRRq%|5INoj~{W39y9eYEspI=@cl7AnL0`-~c%*cu?fN
zCA4Y@_XI?c!Faht!W2=4b%jaB?*dEsNla{!QYS&oo$0TFzhz-y_=T%=h9xBJ9si~D
zm;jexn2@a?0VX560;>*LLf3MjXd)jTK&8n!yN@68Pabl7s$>Z%X=wj$H%-Vf=H8<)
z#0GM01M#Vt1!Uio-#2_;9nKp<vgY*}<b4A<vv`*U%wD#-6gs8`W_0g?58j`Vy6Yv3
z!eMjBN&mCT&Qb-g`;y51=~ndQNdL`)ht1(_?s-E_oDvLmEaP#s@2J6%$IM?70Q>sV
z6NfqE;jL`c<J$+OQ91uLoogomatDX3JH%x{CTbujF@7GM<Kp{1HHm=c&g#00E>a-L
zmvJ)2VF|6a$NQY&Kp>5aX_3+-4z^5f-%$1yw96&BKupmLI{c$}qbEh6`KU)rQ~wHj
z>U{LQ1E!|1b-iD!w?qJ<toDt*5L-nDwssM6{7pdS$hP6OVIFwSZNYBcyn^xx9Q^Y>
z-58Qv*!8?maKeu>=3f<=D`@P%lg#9HBWMh`tq{784Hj)z19*LxQB|`Q-*hn}U_Bbc
zMgQZ!Zn|;oc*qj!<XP5ydXFIlzsbGJIIw{H2~1;8id;mmihoRKePjR^3J(UyiOe9A
zi7$FDoLxYzT9i&xmh_=Mnh~TCHG#}uXj~Xiok#aSG7`{p)&~JK>D^1{7!t0vb8)<S
z4vkq@EWBBy2Te^rZ+J7mAg0HTj-KY6LnC;u!lr~CtQfUSm&$)a4sTg#>O4G)4!M!<
z(9Y<>P7%ok<-7kO19I0t)lbc!KZnOY|NhQ`k2jR}XE+of%@;=|wC>HItG0$G*xXsL
z+u(lK`?rOt#138#xnnbE%~MGPTA5%r^h$Z_Qay@a*H^YUG=n;4)jW>3{WrHioB1xT
z9TiXrU~*iXLF*#4KjhUjAeEY{-p=2R?lJ0#x$|KL{Z6f$y=u+)$E}yQ%qab6sWm~x
z(O?!;4=LW1Z_<Ibs>+pZ>|fEg`%j#rnrBgy(P=*YojO46H43@sJc2e{e~?s~FozZj
z<*2j_(m|l0%h2`4DC!oq{-XKlJStMug!>Rg2lvSA_v4M@C_!?+_*m2e>eCV8Z@EDO
z$jr0S<obywj+Gk6yk0~**q+2B5NU9;JbZYs-EVX}WfC8wvW(`t@Hp<=O9g|=oSh-}
z|Dd~XOgb68UO~SdCQhZMYQv4JvtInXQ>a%_gjVdiHMFbLKEbw=0&vUnn5WY;dZs7c
z^4_@()bRNQjbpMDpi~L9{e3or!rSP&;(crwN4CfpX<sr#&1B?UP@O~nIJ_-*n8A(}
zc&}PJmy+Pl*20>#7xQS47_XSZA_o@vokQAEgarEnejIo4UPRZq{{;St<iezNa83%r
zM6h;loh#Q}Mn4>{+>79Nus6O&jq;xeU{uC-<~Cy$?d#HLxVFHHRR{|i-LfP=ed+qg
zN1p5G_G33+R4(&lML%zSU#`Hz$$`YeZ{?dP_v0JhYcwIuD)X&ys{tP3iGSogwb(JY
zuz2^`dm>m>yMl5RrUhmq=3xuT99Yn`H>NutiDAWYHfw1+wczCOA)WnlTv(ffxy37a
z32Zz(eV^N;CKy&;z)ig8#;WOOI@d}hv8*oDP}AF*kVUjv)XV0@%x4vPnBme`%zLI#
zwWB8Vw<LU(%;m>+UpRj#(pwg*T%0w%C#4A_PpmtwUl1FM<yKocC5O38alYU9tpO>-
zmpPm^BG{`Y_txQB1?;QYrdUvq27FeHu$TxH!@i9VY-1wI7<HMN`?FUAwu$(MeHs(T
zYGq4BIwMuFxoa=mco#L`=7nrS;YdkL^(uFd&R;bwYaSmu$It{;Sm^g|ZE0+~OwX6Y
zvFcbcu6->jMH3`0Wccjlm&KOM&gERAX=04e+en8Lv>-eCme4*SIn2yCd*j!N7FOpj
z+Az|k1sZ$%`VSi@U{~H%v}b=MV6Nz^X2m)@nECU(wM|yS>=S$1d<RKb5m%h_@Du@V
zbRX`Y<59&fg!-j(Oi(bTzQ3i>ek3Rgd1uJ8R}I^H*XaWrHw|;U1chNl3Unp*h5dbt
z!_MD0Rv~(gj%|4yx`Wr63fvyjVK#;uSouP2=W3b`Hts$kT62I71V0to6V;m7)mB}R
z{v-w_cI|k8QkxENG{_!5XphGfFOCtD0+`rfw)m}<6HHKAx7r%jO~7yoa;;uC7Is&y
zdA80*7aaIzj(T~LFk$LJT4p{Ai@0#%GtX9i$Wdy&BG^I3o?Ij<GiF$r_VVvao=`(@
zn{qk9M%2dYE=&FRGs(gpX;%-@DvTjD$NX#g9xApq;2vf0HVdmwyK!-Z-wdw2+dy1)
z&@hWQr-^}aCbrw!+cky=5GD0D%Y>7Twf1iP$kofhZuGciT|~^me$?=5sXiUEcx@JP
zFH{Fx)zHwEG_inglMd0#=5)-*X2-(gL>i_r*IOzeZ3#=0Ps~mz)3L={t0(`Ild*!Z
zb4Pd7TEf5{^^nL+8m5|Z<m}7)c#O@q^x88sD{vVtS$XrAitVuQInH)O9g|4;qhga_
z1scaJHj}-yu_L9ZXlJrA*6@ULJU`0{W;7#=#6FX;xrNYS+cz>8+m41n%PUsU7VxL+
zrW^^&&vBHrB8g(z%!k(3oUOp`;k;%NlYl*p`+oSuB@T>S6qus1WC{O0eR+F7OA9M|
z=zB$_>o5B8zx}sbE?I&H$Nk55i5l3CUD*+LGU|~KgKb~ic`ZRO&feWd1&0llYn|I8
zHI1zA%dj{dV*y#Wl?+d*sA5TBTlX~{Swr4$9NjW9We%n1B6i0dRK)5$FUSl>bAWwv
z^Mi38bNIIVQHH^rEm*AcB@eMX+;BnVm4s~%fc2F^TJSb$tUF^;`T@!dSFHyAwmSjT
z>*}`>{{8=`5-vPel^@zd&qrz9MF3U!tsCqjf(gvcOxpkC2il3rG?j;DP+J$x9XQ8_
zW!bQYB!B>@eiKjoP+|%Vl#*-(DK1Qg@G!92MgVN9-rfGuX##6qpIx%tH_^z9&c?Sg
z0x-+r-1KAB7@irXo+bq^q7t?7z55&ZVatfC_!gQmWG87f=eSOxjbXe_YySMey06q<
z8fXN*sTE?f^WV@HC;zHC@$iGHuHs|vmxgdNCeYZ8*@04zeYv(?$OpEpi2vL+3_!K&
z=FsHi6C|JT?mi=c4~m=LCP=y%fPK~|D(d<PL8()Jm5up;x<ZmDD%6MOl5_T={Ub=?
zbcEs|A|E&p9}1}u(}$(6&k4PjzYzPUCkA8n`C#hKM)Jo<J*YN%DkT^<g}iveU%+;l
z4_MDK;!DPLL2kR<v)s&Cq%X_wS8o*`^php$lst6dmB8F;@Yw}q&$gf5srvu&o~KUW
zXeSF&xK$tW>n|f)DD6EbdifzqDR<+?4i=QGUp|0qTSbWYQPVp)0w9ztVkP&H30qC=
zlF#nkKwgyYYonwK!uo`IR<I`%nxAyvzT(FQ{sxzs9;HIydXhHt=O+V9re_MaWV3@T
zyGByTrZ6~YV|VhR7?AwK@QB`54v70wCch9a3e8>-{ja4M(C0B!Ft5c0rwrmRHztcg
zj`WACwy$*H&BHod+9_^O7myy!_}9a#nR>LVyL7<p*75vneLOJd8EL$JRsu?B0v4?s
zbU5j5<Co>g2ZW11YE`l%;lcb(4(~!b@Q;CS`)7VIyV??EJs<_xF^l7c2kDTJF%Wt>
zN)VQhR=3vc%0T9G%X}7&4r#odT)#|&LCP=a`o?ovxM^ZXl5C@a1(*5deM+LhFCr-8
zVj~9u1EB?Pj?jQz)k7=(x)?0+jigGlDS)EQhw;rVG|1gWz7Y3V943?#rH>6LLLRNt
z0_~?lul(cvI&BirddODIV?Y^{LKpdQrBsk<cyWS5R0`xam)Q+sRe`lM>G$AY4@>5=
zB|7>`gIB+ryZ<9KusPMm<S3)UZ1uZ#n{FA{t#(iDSRW4fe}AnC{6+;`!<#%m4{QO(
zWkru$Y8vn(ZCuiYNrSv;%FuUCdAPUhssEKoP1s2&J$W{t1`~2^l(bp}P%iRUup88Z
z<xQE|bqzY$<UY=<xvK<RbHmiZ?F4A+=}S6$g$}n~)%c_(s{qH-Ce9soL@54NMD-We
z0h!y9C*Cxx!UU$@8DLC?3}?%>ntUCon3PNZKA;A=?^Tm;6jDIKCDp;pmjPiN7avc~
z<KP(H{$r686=;{^>uQXd;Pp^NZL72f^d`xYv<}i>p=1B^5+)01uh^Rl^)+F4%&GQi
zJ33@dc=K6q(}gw7S2#X*E!g`jbE5q{9X#fav~D}62Sn4TfZ$L($n3hkgGAPWVe+$|
z+q?8ZzRK$c{X79`Ew)__2+)Ds4b(RpriS2U??#(EM+Aq&d*pr5I<V=#d;NF$KMvGX
zj5hm|Ac#d@M!j_)DDJ!7jF|~+nQ41jN+!ee_<FNe2_4{mzH9BrJ5zXRUsUv_kqkR8
z>N$Q&rh{7Y*9mJ&1Q@LggYiZbi00whz5O{2_Q&Ci|Lg+D4)ZLmh@`-LG0Q8jUmK1v
zYBL>I0QRgWmqo==Am_8wjh&@rXgbyLw)(O;>?#e4u5_ZnVZpz%IopU}b<paKJevhr
z{S=NmG){)myjw~^#ahsc%A@BzEWqiUol~+68Fo$GU9{uW01gdCZA`ia%(EUzGeSu)
zmBD|a%~=gp*i#6yuPs2AyjaN_MueWSgUXK%DZz;&=fj^?T0r?}=~2-g1o-W_I>Hvd
z1thX+=3YLsfU>7==aq%=kia^zF7Qhd1PdP`L6H_flvyeCF42UCUf)=i1)|_K>0%mh
zXaVwyTeN>WXn=E|kEm`U9~>!?)UNn#4i;w(YjzFe;Mb``0o^A!z-?OY`r{OHU}pU-
zJrkw|4U<Wlw<}f<@VU-^QO6vNyZg@Bi>X5L-3`L^@EPRAT8F9n2LM|4hP~raC0LR6
zUZf6vN2dA9M;p8WNFEO9zdp-D$r|(E#rl5aT-<|#=)VZue6N$n2-pHguHAewXwih|
zR=6@c<PZ>*`kbwW`^SYEjk|T^Cy3N|<9eK}8HnPI9CUf4K;%V^K*af{=tXOjb5oI~
z&~AE~<CKg9xPJGMqC+Lxt@Dm=t<VHEOQ!zL?-T<XE<D}GsTzIWa!Z-~%NTs^ag6*h
zVbHQ?ztnW09KH5#0Edx`!5w`sL(LF?`R&J@er$V&a%^%Bv>rEtE{@OB$wL45_FU_}
zcV#pp_rc0_dzB&ZuKRPq2X5%R=V$BNQG)p0`jR6rYzS)#_{cr&oN(BgSI|J~9r9-T
zh>y6h0cZ%%2-eAPz#-}hKfGT%Qtv-<inB%^W=gmZp3Go_5^;w*^@MK3t<im<R!JW&
zN-zT^b2pINoxzgX-v*G{iElybaeDAJghL%-*N}88{nV=BVZ?Az*KPHeF1$GY<OzS-
z3c``=w!+{ZLuwvaHEFo%f^4BpB^8ztp&sE!eg}Ub&ecd!bR!E+;?S%evP+2M?#}$r
z9lw$6FD~uh%~-(6lY76LwTL(!kTzd%nndg!_LSL`GvVM9VZN!91*H3n$K|~zrjdbQ
zM%-mxCghcS1*cFJ5c_TS_7~dDA_A@l8gG>`;B_lqG;Dnyxo?|~Q>M-%%7=^3dKoj|
zl3YZz0LKE-A}~$bMp#5rnU-_Cbvp3z-rnt}^cN7-V7BL`M$1S8OKoh~Ne2!;{OXo=
zcL9+Izx2`b@G7#b_^6=r3mtCOT2Q(ui-?b=kMxn(>&U$yv5E2_bogc8(z*55B2w1T
z#Rf8L(Bp;|R1}~?O=nU-Ue^-Bac+3yvOhai;O?tlwWmQrch5DgpUa4xil$O@8wXJ1
z+t(Z}Qo-!|(Vi6YDiWvL{!-VK3*7Sb@!3t<FiUx03YlvNl9yY>y~GXT;4<(=MjI+>
zLi71eHxTbr7c(Pkcww;RXv*jj3T%3+72^5W04GJO-u;XpRFama!u}&ev(p{9GeYdJ
zyEtg*Nv$C4_S@?|LixwFtWR}JZ4StOQhu(IPXtEdQQ7jlBv4YaE3pgW1U}`c2w`(E
zh<r8ankz+uwh8+~vmdy?FUeH6HA5T><c^HS-6q0uR(M{KBM&%uH<;taC1FNATfmt>
z1hErcAB`4y!GyEocvZd>q%<AaZU2q{W{fUc%6oo5^4G+y{bfM(y2_)G;{<ptZu4OB
zogfSpng2d#zXdA2@a_W?0&L65Hm{!%hJ=+^H|^c>FtwoY(S8*V<HKU}dx&E2BZ*gh
zELjl}!dK_-58+{XkZDjEDh_gewRM6E%0P0SjH>R%gXjBGl_v%zU^T*%(%zs7>8861
zIHvI6Q=A>)<0l0+CMJgG$vBWQV>{@oNdWHLvz8trGO%DaTkn^z4n;Tgw^L#Wz#IFu
zc)3>=PCJUMD}g55xtt~SV3Po^SmGNu8|6USo&VE?zgm#VvYYTMB7)H9$zu{j3XuDB
z^t9hA0(5ij+>w_`f*m_#O<%|=gF=`Em6$*RDIZQX{bDkFo%HGdX`~8gRsub){@d#e
z)1^{KS{pu!(zhKrqXrqTEnRJPQlZ6UwHt>~K_k(Gl=T4z|MkXnf0F-~lWhF=#q6U)
z*ZkHT8c_p=I=Fibx&C=A>g3Jy7yk9TuA56|uWQ1t_$|@z2X%nw&Gs|Ddl{gysaD*$
zrUj(eY^{&(Gk{gos35wR1+QLDy`4Bj0C7hTVuuM6-lWI(@8Z=1U#jA`Zxa#lq2V%_
z&zT_D^^xOopFSAh@ziuxAj5ryC91<X6QnI4$p30FgrUacOK*4l^Wb9ehWH>8s<Mkh
zySt6y<b(K}*#p|}{;V!tF_8(u6<44C`ECk(PPzW&Frz}?GPhm(4+iWrRx06~M&LJ#
zVtxB76+E7un(kcEfn&$$9Ewu_e8w*=Q8OCY*A!i?sG-AKiB;;$4s$5~aX|fzGY#CY
z$g=N9pu!VvOXY8A7Lbz~Snx)g1~C;PzNe{V@L1bc@Qq;!r3n`oT@tCF7<JU{SqdIv
z7K;b9@+_f#e5E+^l{TC@RyUE~rw;mY!qJVBmasq_vtCJ~z~@J#wnVZjoYmbOks)ja
zDcV1|uN(dIy3ld{l<jhWZ>3Y}IITd_vu;mhArZ>@mR7GcNr2ShwP~XsOUMWdavfg7
zLnt=0IrW<#J|*4F;ZC-M2M$tfRE8F~W7&&X@+Q(nTYnu-wS-6$`C?rU4QTZU6)0$*
zK;|3t75Zu{K>ZHm*vqpxh~4R-SKXb8u!$ucykunoXR6CC3_MeX5aRs3JL6+04klai
z_2v*uYh@%gD}i&_CoRE(Su}Esd4{*SIoPI0MO+Jz2f0f)T(8awYG+*{HdzCpSB0~&
z(3gd^qY0twgBxfS>26=889><d3n3$8Dd-nQ<y1M@vFu~7PVk>cAlIbZ_FAMk6ptQG
z&0Ax~zPQWn6iqb)zJz-6t*^qMEx=VB6vKgCn)mHCd}az7R|}3jw&Vw$B9WocTn<d#
z-EDtyvk6Ed*B4S{xIr(3ZHPaa1AA|}9PF@Y46o;Vt-D;<p+8?#TYM`A7XDv&;G=(@
z6@0}Tr1o<aNxgYZ`TTEotk;NhtD(OUSm~F@?j4y&0?03y=gzWY0n;>6e7+$B#M#_8
zjh{kzs_$h>O0Z);<UT!LnKgif^LiUY;op(Y9zQ1ODH|s2DPE&$Z2)DtTUnyN2NBi<
z;o_@~Y#6gFSw1dPA8ISZ=l5P|K^|G8+pu%7Va{SY_2tWY0P$6sdzop7TF`@UvYDG`
zldZUDkf$E#nPu*NQSc6Z*2SR4@83k1Ot}9#)$2mu;hs2~H=oeQ#Pm;WE}LjxRPunj
zjxKb^VE3+PenD-zjlArlHqpWNt@$q>vOvR+!@JC76!m?ir0YGfi7GYjbZp+jg8F6r
z@rt+~XqE$~a;Om-rb#gzb4+DIvWDyXz~Bk=7ZU6FD2EOE(o^zDL4pZAgmP1DsVTH6
zG8e)~?AX<g9ERde1{^;pr@rUwG@8Zw_Uc(1JEnnEJ0pq=_$W1ehMY5tRxG?Kqoi?Q
z<k*Ic(|J1Z)}d(nuJ1g0*nI9D|0zza`*`BTMm-&H4eL@P5f;(l@W7GFXSuNLABu;y
zo9IwCan^f%VF^ups36D8=f;Nm0_ZQi>98am@L}=O3d)7t+0(YjgY{>$KgU*RkRbie
zr>SWTb@mLkJ9(53D|hkySztti*fVLGeEl0}-io_ew2%Pyjcah_P&^eJbc+`iF0x_A
z&#Llg_XuJX{4!zdCvAus-hXN4B|BD>l4CI3A&iZk|KeLu*M^`EzgRu992i9xvq{+y
z#pXNoSO;%WfSy{*{?w5R6ZFDt3h3h4+-tngXC4Z02mW#Ne#ebHFn-V@epUjLj&%rF
zh$F*Va6q!iUS2H3bnRs7gd}Er)VdWDB!j2p_0(Yrek`OrC))pvG?u4jeK`0b3BnX7
ziKHn3Y_G=+%PwtMti(F#*-1MRNT7OAdlrPS1v|{0z$1s<*wr+Dagzud%F-|92%;Er
zJD-@(qky$kO170W5+Net#$x+BF|1{I#xYz+30o3I|9a&UfoX+1&Lu8^wFQ5q1ShCq
zO`hLg?#?Dc(g>koEJ6~Sj=VH^jz<mKA~PD)RYC-=`<A}CYf_k{vz8IJ7Y-9GBo$r%
zPJ|f0LdVnxG8it-Nxh<79lI4YFW+oR0#q(>@R08oY-;p1V|9-v_CEjs0RR6Cmv=nX
zZ5YPwoophTV;$oh^BDbZheBDQ%oK?T5rv9KMF^pijEa(#WJIaolZ?D2L_%iDCNrD2
zfA7DZ`}$n>^?a|#v1flAtW|{FAGnV;nF=FDI}t;dB?9Ub^<zAGS_#I>=dCTQ_adS4
zH|I{}$|HYq9;;##BFvpR^YBlY7#h;moVRmRL?&c(&*OwLlw7#S>ftVd{N@5nJLQSU
zsn4tHO|=SSGc!H#xhIKAYMa_h7nD(c$bhzok{X0+9WQn4l|t#ZvjK^fswndfC5}mg
z1Sz7tQP1RMkc+>;>*1GbD6(49E=ZpY$E|C-+aqMr#%pKg?29DyW>*3IWRyAx-(sd$
z?<SxvqqFBb6v)W6?k2@@P6PUHO>Qr#$RpVS=7WK+$Vg<+5i7f{1^H<@;>?#7kl83-
z+4vrHRPed)`hbBBJaGM_t^P_8aoIKt{AZ$$;@Nb3wz+k|(aeU!_PY|IlQVyDS4SPy
ziLHF~TGfNQ-&M~Pe<h-ugqVt|-(=Li<~;HGmjUGU#8n69C?orqvPmI_$cV9}D%9yC
z23?h`E$1~<P;d#$p>b~#a$)Vze%cI>ckj=ihMOu#L%aE?$9^>wK9F?pb%r6_2t8~T
zeqRN3N;&^EZc#?XE;mCNtf}xQ;nJ|>2^A#%Y*(jyg(9-exyungLIqupME&W0Wz<`K
zlBUB|4k=co#&91t0x|QdN0R)?D164uc4bBy+3kPVx^~wH7$%LT^4N(;@vwAD%~c8X
z*#AiX`${9&mt1d`-K>bL?~Mf>J}->EVy70EUl@UpY`Dj^g95rCvE*^bnGYq7IX$C|
zGXm!KD$TF!<xnH<eCd<QU8wixjQxnI5nP{s{ggw9fP&kS=$&^npsEK4Qw}UpA;7<s
z(0EJ+{b6{<wUxhucTFZ<c^XfJ8^;cvXvvX6HZx}Wr&dRBL9G$nojw2Nz9k3iMkUZ{
z;$<(|#TQuAg~|PCj|?HzVsA}mkQmyoxKb?~G=g2;SY+vzH3Z`bg$Pvx5p>iqbYHQ>
z9Cnt{UU9YnAUKm`mqQjpmTw+S5`~wsF)ik)11bP~Iqz(qI`Siq=%rW=-&L%__RXB*
z84L`nKCBj3@}T}Bn<i}W>sWIB8N-RleGu1ip-91$3*CuZy>R!{24=^{*DRB50Ch$j
zeLIpIXsG_{^n}7D_ONEF)9-^m@ChI7d@0I;3Y>DUO>u8xucnGLo9FZ(=0S7oWCR0>
z6%h!&e{Tb$j4U+K5cJ@JR-bz>MvGdOY$@-4tYe05!6votx^RdPnNv}|iH~Vinl!Jj
zVRm7cx>KG~;L25g?}YdjoQ2@}_XYhLX3jX@Dlo4D&mOua#;-2mdqlXYEgY-Zx@LlO
zzo8DSz83?&?ipO}uQ%^wi51MvuemBJT^qjIoy`v|9mO%x%<E~Ue=&=;GnWgNv>@lE
zR?83PAslAMU*C*h#>zT;73q&^!Ai|zgZvxca6ZPQ{Ij!5*jZCS4wG6<C=e%U-_~lv
z<*uxmlm#zgW+MhiwB$5l{Ekvp@cyUxoh%K5bcrSGi2OH7#$63~ghkUb`&3}fKRdRv
z78kLMeGiwZY#N|4>Xu=C`Xk14p5@c?*+tB}=J^2ARdrZMJ|gtr)2~>p*PbgUc$P5f
zC*`-_Z;^q^GuC?Gb~n~fl8_WXzJztZjlgWf$&i`tDzn8sfYqgJtXY3s!amG0i#?<v
z!=v<vhweWd#wz<tD}v51V-o@8n@KSw*i);cnkVuLoBH%(L>>NO@6YkC@8TiBTgtP8
ztk*{|o+3AaNUas@kS3=i%R@C#f~X(;qvKeBFXc+Q<0|%G*Z!aYk{alxcAbhjIEA5y
zrSyA?)-X*Em8A0ts*rLaD{-)T2HRbE<P5L!2F7PoX7a991*A-#?pG3>!{Rqrs2jtZ
zSdM{bXW61M<c-m@$DNtSF1vP2e*V0T&FYPfT9TCEg4F%<@t+p3k9ui$qC;t5;`9m0
ztn);$acK@zF#M;x)E^V)0$LCpe|h{l`uEB@-Vx8XWlWl(s(arC9aJR>SwG}af{pFd
zA;-d3unyTzufGH^z~symuk165AhT0Ef6#ml>v_kPvCY8*io4bfe|=JbXgjyXEW-_~
zErG#!PX{wFTuX~U>I$G?8@iv)eG6M0I<8gU$O?bnb&=9@<)NV=J<a#!4i=w0A450I
z4uadF^iv}8z;1Z9j%P0|xG0`MS|*&J{O<@IvgF{9X#TSIWjbi360Y6$=K`^s=H6U+
zIp`CV`$OHLhs%0S=Yo2;AxA7_<=s01tVkT@>wClqp1(S)Ha&TvIsK%=mlFhVefq4n
z#E%(z7v>M{7UqZEl@E_JxCr3zu|xBW2P@F$q;wT73&3~JA;GLKvXHXAo=zLb4m}#e
z#|JlsptOgck0o0cc*ME#Qh)9O?Ke(8YseyCopqI^CsG!qf9W^qP`Dt)EpuHyLlpR^
z+4H}{WWjcJri?L%8%ke)%$gFG0KZcKKVlMOLI1KdbykKK>eKA0o6(Y>ChPFEs8$x_
zCS1M}TKGUpyDEX6RT_+khlEEs31CBaB)8$d04z-RL}?YuKy}oqUjeZMh|3qKc$y#t
zX1il0*u4mlFmnHcjj9}cwH``6kS`2Olkvxw4CG;S<fb67$wO@P)e9+;djV_eFykUB
zLLZaGt_KndaF;!9q3EbMh$kp^d?XUVJ!8$@{GuYPjvRk#wJZVqKYF_PP*mXU@od2;
zaU#5(rW0YZk%C_vQI5_sY7n_mpl2wg0-p5S)^4~og!eq%#^gvKa$d!9Qd14sQo7iP
zy0XyzX6HnyC>j3JdEHt`B7wEf{<eX)1ZW?ZQMBA916jnbtxZH7JO|e61C8ZDdpX0E
z@=hJv1G|JcdNe@6&n9tSqXLxq(@eP^)_}c~(;3<IS}?Bc^mB`%1S#@f;krc{5GX%%
zUb|Zd`i@B?%%l;)h%rL25Z3@=`X})QRz2t<KfI{;Nf}Zf&-^`hO#{YXr|DZAGJqS)
zuO97hQvrteW$ii(>QMR4d)YD`12aa^Q0{b9*rq3)u4PgOtTW8Jy%%8UAy)aBT@AEl
zC=W#%NHBfc(LSly5KQytGI^!dK;XRNfdVZxa4ZUC`uLg(Y&LClLc7%<Nie9rr;`XC
z@xq3S=ZqjHVqTUeTNUn^rb`x%$-|GRG!OPIBdECTTgLEF1=NJN_V~BUfNSONPYOqk
z;h=X!^W(?L@O@g)ef6ybv^JTuKaVhmTNYt7x!Oc1{~ROmzF-gdL@N$XhZ)11q)qmr
zR7DuxCh8vX<$;=rXSX9QjDfw_jdJ*dJOpWE*pv-3!=jnIwik^t@KaU{n!XW0|1p<d
zkI@?DUhAD8mSF__7H4b8-7+9#G32Uvs0Rx^n{P8BX#_jB$Q<9gq`*rfym0^FpZLDJ
z--Hyhsc_{)2Det91YE5c=ivxg#sx(ugDv@}aFrv^|J$%AkPO=1lLof&_Nk(C*JBMq
zA^D}eu(mKn@pXS0n5IKkKBW`GTLALiJJ-tI3&4+>ijoJX7?EE;<#xn{fBJvlP^pdK
z1rxppJ$&rUC|6j7$6*YEHg@jSs01!xkXtpq%Ep3Pd$WQJr}sh2HM_W}N9<tYalY?X
zJPQ(cZ4))!G=R_6rje(gF~RfUz!I((EJ%mNXV^o~0D6NR{!Gi!!D|wkcrc9xE%cjy
zARFkzX7wrGPW4TUkFYrAV#R`@Z=bm@<fjM1;}r!n(@WUF(zj;Qi_A!b-O0rBsV-E8
zN|xGoOk++_6=olj|IJI96i<&+fQcD40#t`F-2Z#oc@i@kI(Sn)h)e+<rv=d}nNOJE
zl}FM`15C*OV_M);^glm~yc>uXufRjSYfkTe$b|T0`b$juw1Fv2u*$yb8@{1&NN+NX
z36Z|O>g3kbhC7q>v7)X&al6YSB&Pr-^tXWP@o0_~BsrW)_9sr@D`Pqalp9RQLc`QL
zm`w}zv0bLGJoyJtUVL@F;4KrH@2+PKyQm3$7t^~dlNRvT&r|6wgqTsH@u>OxKN`@G
zb8jg^e;N1GBYz9J$BfSGx{^-t(SX=HvSV`}R`6qQtV=<k1--3FS5KT!2ixXdrw7#5
z@s9c%3ysXI=-VoCANNxSAMp?mlUtj(Q?VULZLp$`^$EXKSIFQjbS*sK=Qe&=T4^m-
zkR2`G8v4)sIvMV-I=l$aq(Pt4@MBJ{9H@R8r9TlO!;@QwlCONGMSpz4=j7XWp?*!V
z#;q45=qmG_-_1ymu1WdEybs)sj<ejqo^DBkU3{O5znU>1PGQRe!AD%E(wjW|Y+enN
zg(dzo$!0|4LY5HM$K1%=Vn8k+Lk*^#Z3a6TnUOc$HTAW(Jm>;j&2!954gOo7Ah$%b
zpgL{dWs_xIboozf>++^5)Lpkf9V)_x0)D?TuQTIE73yY>)X%HJodZ5Wf^F<*W5UvN
zu2ul4xCHvzZ>oS+uUphu-Y#V2$L;E7Erb#;-OsE@RRQBZhI3L`yHSa}iCi|LFj_A^
zPwv%Mf&Jq%YTNx>=;<$8iqL=vlInV}dVftB<QNq@E$Mg=33YMt{t!hkbbn3k{;Uiw
zO+&^U2E54SaDiXUmN*J3v+ydYQU(LLvLD4sd?=1Em#`xxiEh_Gfl{q9fM=oU%?*C^
zK*?fD-AM`^QkA@0J*W&ZY5TTYq6E=1y0o0xTxn$J^s=K(Mg>|V7mQ9z??LPKO~1%H
zGRWlUYUJT06^Jg%w45ChMiD(}xUCNXeRN+>I3ukJu}k|}qh9YtH;x7D`S?=~1qWG)
zr2JNeue{C~#ie4%jr$^H!$SdeIu`}2_^E*^?T?oaj!PgVv-iFt(~9W9S+yt1^dzX8
z@JJ62l0*ifoL!TFL{vcHmz=Enm&YRfp5JdvA=mxa&C_R<QEgO$n@$`VMjQ{OIaW&}
zxs%%A&m2_IDMEpcSA;s`y^OY+ACW<#W+S7QZPd`$sY|n4sT$xq<#MNji-45#CNn}t
z)KF@TNk-s*njo96Q`$w5LtDe1rd|#tRJ1Y3_+4BZGQ0$e3moN9VD|?nl|mAF-hcAb
z{bU`e4td{D=B<E2o{LZSx06t2$DU8dg1Yc=U0$NqT@huT>~k_|CZQ?i<JmsNdf;U#
z@jB8#2~|udr^dyT&|m%##<vFyVE?vf3@j)i_wQe>kMNVwg}QRN<3IMnc~-i-r7$8=
zm2f-Fb6O3>_6%OvQw7LTdOYL%g@_KerC!KpRYfn_ju&nW1C0L?<Q$qLBH5I#=vN~|
zRN-rtcp&m$pPKMI?(q3vAN=kqe)X&(dY`mQ(u|P`I-SRqXwMPR@Lb`DPn{fE7gaoQ
z){hFejkY9B`;}01V#<|^OETzegt<vk6&3W~Tk*7TE1>|Z_%JImDRk;?NI~Kd6@on9
zKbGWIL>~^#orC9M$UWaUNOPJBP3xR{-Dl;|XiI#&xaS_Uf4i51xsM9{9XWR@pU9!@
zT2EP?YkX+ecdsih<y3gdDKXJtL_q2Hw1#}dxDaE_p>>f9RInBCuiV!zgK)pC9j<FE
zC_!^V*-@Sf-<O5djvtjqPwmrZl1FKg-xH=*#xI6YHMsHVNv|Z*KV~T_{caVX3f9r6
z_A!J(El1XL4+&JS_M%iP<PTngeAZ)W4Z%aAZ^~>@6zNNz%B)iz#s^dTRv7L8WLRm`
z>FbLiw$JTq`ja2=iFmpe6*+)_-RjaYg+eI3VAx?js|0g6BiO(ngh3u{slf}X0ICUp
zS3UN(1=}*BF?G+_2i|2W#B0oas5vFmKTWd>o0;uSdEa0F(lNQyN7uR0F_}fjEU8}1
zcwF<4++TelxJ~ezif|#C-+v`4eSctf@@L1zi2Bf<$?wP1!GS#Mtf1&=FBV$xY;fF5
z54eaNFP0ivk>4d_*KqT0th|<%Bc(tWG;ZE1C37+(d0Ml-?e(3QGiT^?#(4_VKcul7
z$z?!sZPzC@+}p6DqK37?`zSCGfRo=|r9)j#O+`Up8?mIr8Mayfd`?oWPTK#3263H^
z;aFCx#?VtB9vRmLkD{2JP4;aZ<VwCNH(tUN)@<rn_iMwb`yUcNwt@dRJ}<qlQ;Dxc
z$N#wYR11o7dGiu`R&o7vra5Nnjks&>#nDs_E$FP*iO1Xj;vR!x1IwdrxOP+C9hMMH
zctAH2`ciBehxR+Ai=|z7Ps7A^^=}RM&*)x+X7wWO;8r9j9n^<6&Mut0;-CTO_4&l%
zy9+pTq>GZ@o?-m*6Gt`OR&~%m<hmqMF^^{kYd<wuAHh?@wb?$IsYABgt`J_fd0gCB
zS9NM|6c>_^;}-l#hF06+Gp|$UaK}IU0_|HTaCXsZ6Q+Y?xV3hy`JMS3PIKAgyULeo
z+}q9GE4q~gjt)NjQKUIM((`O$<Ig{MZ!EF;k^>2@?u2x(VRN`%MQJHr+&rF3yR$j)
zOAUl@`5lI!IXuKc^GBh^BF=C!J}4(x4Xk8qm!5x`!{-`J%dD1{@P|&fCd!!AAT`E}
zughc}e{|A&OuFqa?hv-zBBHMfm&*Pe`7%0>(^cnuebBs$3wAg4IiFPluOV#d%(Df2
zY_IdhbEE6H%Qx9V@d9P|^f=IXJ7Ez&kaXkb3#Bdm`KdcTJ`+UPd+6uKLwA<&!gS`Q
zitHV{r*UAzM2!f13=UCAb<244zlhD2qD5Z?n@zriD}hVh=im^56+B4Pl=?b_4)xg(
zmc_m*0&P#Yw@m6P?*DsN>xL8qikZ(2_EuJe5%0NbMZI<0^H}c5#V$tF6?ZLcCP@LB
zsLirz+?)9QzAV;|m&{0@jDKNkO&%N;$C7^T*~WM0f5V>Du%cR7=DQ5O@}M+$w}_QU
zgU--YUtgVLM*~k9WN(bh!KsGEyN6HHBHDjsKs?5Y1h1up%K6B_bvb%EvwAx8@@Rlg
zX%rV4u@$^jzCr+$C~>%)%7E}rr?~JXZdCPnfGU+tfQI<b1?i)Vs5TWpICzs6tyU+y
zJklV*Ih|jD2g;dIzf{fBPGf$wTGAAjH7X0Cd*p&Fi&>Gz3tyuUc|pW5xi`BdUlv;K
zX|6?oV@Kk>^cB<Edr(-r)gX3J7WnNf*#D9_k;l8#B%2E&NOUl#%IkzI05!V(oCg;Y
zRWi|dJSvK+uKuo7J|+uP=j)UoE!@bJnmbv)Ujp@dkpgLgW#MDQ8fDs^7oD}6-Fi?i
zi55kIZGJzK1sTdLZ6^ais*Cd88*d<u=!a|gZ_*GT^Z?KL!!7}I<80>JSO5OQtM$%Y
z7Lf#4b8eu>v<jhh^(V$xo)FO2!@oBz{{<Ycq~5Fl{s^P8K$#x3D0y`1<Qq0GZh5$D
zI(F_1MHJQAi>uZIDI%IWvF8FL1&}UkWo0cENA#)XJcgk})OPOX_K7=+pkvkAPL-BK
z{uX^gbulVvUH(f~^Z_Ces2h1Q(Nc)F$;8#%Tn)+9MSh7fR{_O6M&|yD(&*+9&%<0+
zB=kM(%417=HAu`CHh&i&i>}{ZIIL|<Mx92#)5L2?U?aQR!r?CgwL|5Yq?9^ZqSuq(
zWuXpF7GE!|gv+DVpCflm`qj~0R^>c59!(fhd}Ud=qkwF>W3UH48tB69rlvwhZTK8G
zjx(K8LQ3CFHH>RD(Aa@ws(=IqtoJp9%rq0x`tzXW+(r#lSLx%reN+#OWt+<EH<XdU
zDV>m_D;kJCdAX_mfdS;6CziikQ$aYX2Hp&*Bi8!ggvdS&x~$#4Y*wqHk#PGAmT@xb
zb{%3eqBDd{Kja}RsD}Lfn35jeC!rf6vnyshhHy5HWSuLohOV%RHiqt~qPIUeb{+mf
zh3*?sO#Yl|==#?S_kHY$sC~qvX;-2VJgL4t`#VV$rAXSIBRa_=ntQi;dbo{&#m0N)
zbcqTIr{T3?F_1wtn`M6tJ&ZxcHyoTUD<i&2b-6})3A8`HHbdlwF%WtM2%AhqbogGM
z?8{go6#70kQ~HuIFiE|PpK(+~4I};(_ha0sweh|h)yx<s3Kg6AqvcWUr|u^%ON<Cn
zn%?HF7{LHbK(xPcEM@ghG67|?>g7aqFXIHhq0Dc$j9^-JU}q>v2DOF0xqqPVKb%q~
z%*oDc1Wg_6bey-O(6+5h^|s3xR`z0eIP(@2_C8-Hok@{EgE=i7NeL_1Rjc~K20AK?
zraHN$TZ^JeInCN*mNf7s$mUD(1w%N<%}n7g+=HfK=`x?@(nE;Y(b$<OfDzM8E?r##
zbg6CaS?W3?Ecz_gba?>Gwgyn^n0V2&Y1Ul+HD-9o<W6R4z+nCU40AFM7qUB<Xn)6_
z1%}Q1_9=ea2j;7L@5I%zq5adA5yu8uAQ#WIi|;dl^6|zSm)aRo`(^qX!YT`x9ylV$
zxuy@Tv#u^Q$7#_GY1?a8J6YhO#EIu1p%2rSb)H1juH&{D5$20=EI@rZxfONzA0MWD
ze?U%L#HI2s7bPmQKy+LqtyqFCxZ{((Wz<Q$nO&vm$$!i+_2SK|<E<3P>U?7V?N&d2
zL2KpxDL-b&E%{-WDNF%7hCu7k-F3L+i;1{1V$2|6tbUT>rvv)aHot!s)nPobhfIxs
zF#-AP!LZUsZD{k%IhfPlgSGvqQr7>03B-)#n&JrBAZqZyRLcGrMi8|h`-PZ*Gqe1d
zPl6V(KF;qA<e$Q>7e|T-3@|}7%R=k+iYC<4TAfXOIEQ^}(8eP~nZf8rY&wg#CP2yC
z1C19KF`L^p9p#bC&~+^`=IEdX=#ENO{*nEQt)F)d+-6|`kC~+t^-da)cgp8mMae4W
z?NR;Y$}1K)ZZ7tL@<Sb_Pd&QZxpxD@-WnTN++u|nau;0-PN;+9ph~kr_!br<O^k_+
zX9I4o_GqptGWd3ij}f|eFwS>cECJ>05ZS225^|9YOccibydt!)NAT*PFVim2QKN?c
z;UvTM`=b6QR&;Q<DlBmC4Nfp7HPzmGMuPCfA8#^l(L->7&Iu)9E(ohhX}E7fg3Awv
z{L{J_AnQ$1S2`;<%mrsp5~tN*zfW;9j|LM&iC?=D$-@Io&ui@N-Bkk%ah{D!x&QVj
zU{Z=&yg+yOVz;V^8kjyBwUbd~h0u2TLo4U`psH)$2>t7uff1Ll+kIjKp^HY{t{wa^
zXT9TR8Kw#sa&|T>;yA$9rlt9pl^|>;lQMM}RUzC-RKmiC6TEZ>?(Uuuf;&@r6C;mQ
zfawuOsIfK|NEM5Ja4Z%E$N9ne1#1=9lG}PGXu%CF-zAsClJ>$SyU0y*J{3@M%CJ!l
z<pJHQ*9p;g#o$KudmY(XW%y_lA;|HX7XrH1x(nST;MX7WJ=$SqFjQjG6XN5CbH!k^
z7$*r?{JHnhA7#*XIimL<MgWd1nrh56N<o6Gqhgk*3apr<a1`<j!8uY*@(P~}Y-=cx
zRsB_9*=+0$555PsjBE>k1j#~v`>c-FZxxukIJr!{CIXRfuB1O1CP0D8{Ls}HRiJr!
zWKsT<C|FR={ukmb54OfNjhBdO@Nyz7fzwSK{9k>taqd@u5rQhKe5o3EJbP@d{YC=v
zV5)MryAre?%%|V7AOX{hci-LHB_U@*=+(eaA~?yIz20FX!}Hvr3e|ZjxMKIT@}j*8
ztaVn)e;Xsi#ECF<9w8Z^_qIGYSE&lEakNpfztv&<0oAdJDhrbvL-(A+)ZnvzIjsqU
zCP?@%eVO$oz-9Y{it{uikbW!vhR;X~WVa1&m)w?vx_evm$Gu75w<?+%nWGIsfA{jT
z7s<nFlyIv+2?;WFCn#?G6iA-cPdo8a0k-^~F)Y-RU@$gfB0pOfdRJ=hg+2VoU!{+x
zwTnn_fU1*kudWZI_bPq^eoF8zPeTkjlOXv%FKcPD0T67xu4(ZS;rlV4tlOPxP;=%2
zYvNH1N>85RczcrwJ$yyflLBfGoOJaRhZg|Ky59Zv(?4CNW~fbO|9qo2D{_Fx5Q;T4
z8aTcY!SZX$g;TqTz`4)t=-qrnDCc~@c{-N}4l(6>nd1~7t6o3(t`rpn|8lFm(jvl~
zgZ|d{Zv@~eIlNahk_rp~xk7tyD}kb8Q~wf+43y>R!pu7=BnqtfbW|zA%ff7NZ#_xa
zFd?08AE3f7%6k4-i2?*jf4G{#Bno}=Et_7$R1ntP=TH|e4@ADtg(;(gK<Aw?cCwiY
zF5e1S3;%Hqr>S;{nK~~th)10>$)JK{z6RN#`5(t+KJ%~M*#)M-x8Kt`P~kjd9`ouE
z8PM&VHhx&l1X-mcf76(#kkYj6+uA1u4}YZ7`UcX#+-Cm8F9nA1^;zNZQ4dM@{K{ix
zIqok;QAx?<-){(eU0!~FJ1!19V16Uqc^Z2|q3Bru0N^O+D2|m71sUPu856$&j50O&
zx5pnKB-xwH7bXmki`WQgsvcvu_;BPVEx^_X7aGk~L2$Qk)BI%c0*`%l<<~_83?_Ns
zoE&__52yLk*oD?V;o9)>&XCPM_#XfO|NjhEcR1B=6u0*t+4JJs_g;H{k5SQ-8U1Xc
zDA6F<Dy5-eBnhcxRc504zLHfLC9+p$_TKsV_kGUudCqgrdp^T3<jV=KU|#4}6v%!k
z{tFj;amPI&(hzjgyp7+7a>Hh3pw=g)-+2G*LX=Oj0qDL<E^=|=gl``*t~J&C#+?G+
z>HnD22N_z9d!fQ?Ak}w0g(s*TAARaFv7?|5viMM%hYB+=c~xx`7q{Y$QSokTXY}Cm
zjmanIJ_9)JSs}eGYsS;R*6z!Erwd&V3p1XX(7_%Je{+{hwRl=n`&u)DE<{areZ=)>
zAaOhPR5g_2dz1aPEl=n`x$m3Hc^9Yv<c?gNQi#GWO4@U$OSGYQWoeA2eH%+kjrPvz
zEWs`d+t&H>YQsvwi5gbQCT6zetURbxi|wiMew%ek3&LfkMnmS-u(igCKT&i)uwTgu
z;SPP8u=&JSaEoOXa~R{is<hUQMG)n~y$)zXf!l?o#h_(uAn+i|wW%H~Mr_0|qe25B
z4fR{&NK2Sj4Apk?xj~Fwz07S?RRi{^Y%7#0E@HK3KAeAeW*F-r&L0=dRtLfKEt00k
z0_MLkmelG$hCRz#VG|~(!{at7iTKuejH^XRlq&QuMq6Q#`16?>wB}geWeb|etPO^1
zE+<c8&0_OwN^)v&(&KvI8;g0&+)aJ2hUXk+$Qwb;TR?#Z#x{zg`8=j^{L6R~%K~<u
zgIYRBn*!CXWhdMH=P})1-Jwvuh(-Ng3_MUn21Mu5l=o>KE06Zv8-0Hn`~2}wb(9?$
zUR@dfq^-Vy$&)b0AD36LT<V7F3hg8iD9SpO_<aF0lYhMUCUPCKt!W6|q9?)m96e$0
zxJB$>#6N5zcN6QipPUOePzBSU<_}u@mM{-pd#mK_ZEV}P+$ig^3jB(nNC>>Jj5#)c
zcjL#XVEOX#iW?u5;SlXcj`y<_ETloET{ndqzN;M<HfB-=ovA4SleJY0dy~{;%S8+2
z@0%!d4oXnP8pFaGypBb6WQw6|I-r*~W~whzgo~pWf0@W^Vz(`cY@8kpkYanzg_Tzk
zdb=r<p`9)4OA`K4Y#$RWes-wfx}pG#;h5Wh96Q+SxX^SiTNaQ{V%*w0DGz&uFRixZ
zP(e$Rnww(+8=OAAuUx}Z9`vs)O>+OG24`}{&yP%;@Hyzab?hh+M0qhc-vhMpDx4Ib
z-OUBJjbr#Y&l5rQ`_!MujdWmCw$oH@#RH7q%VytLh@fccBJ%7K1ITrZ_xnuof<XAo
zyYsK*VBB>BuQg|am1V3bKaU@BGx-WuUFCp>GgJKjeimR<qj$agPyimvJx_QlEeGDc
zsloM^*udFt>8W_O5crs>iR>)Pf?pup3BN85AUX(VxJ-zE+Qlt_N4>IO%HuR_Q^^IA
z_EFwMCvk9a;A?Q|k%jSuM{XlT9!SxOOS=*+3B(X{&ab;TLq#EKoTa?rPdQxRJ}(7d
zcv;G(RODdGO(K8NlOMdR+b6oN5Wtc%_HxKgIWVUjq4(Dn0N-=0H~OVyfnX_I*TGJN
z>W2p#Ei{DSBCq+m)FC-gjPWrhR1twX{JBV#oe0?W1yoCakcTL(^d7lfd8oI$+<GNb
z4D3GpP)p<~!UREn<xq<P^!)i=C&eNO12J!T{BxCIQtybazrGUOj~~?Nv6F(}+)XLG
zNEI3l?B3p5R0gl=8#`A@rJ;z^OMuIX462XYVvkahpy1|3hBSf<Sc*9~wmVQDWASc{
zb_p4Ve?8qOPLqZArk?uQ`_(|0t%2w%s0P)>6vG~IB6Nvm9U2f-hx?`8c3B1LaJnUa
z{&j{t@TBvd4Qf&cg{?RCKLa(v^aDPjETRb0%3^D$EHxn6vYLs_QyUIt(TLYwRf0Qz
zY~BYaX@F}4k)9_+7fz=Y%-sK}3?)a$88s3$ph)TC;lDZh;B&ggx?oKOR)&{{EKD^Z
zh<v84YuFINbGU3q|Ehwfq8-dXRtNT!qKFG@0A1|CZnx7&@SK+Fo>r<FsQzA2Ul%k6
z6RVQ{G-%0CBtom)Z%zUFYY$U%*-b$Ig+x^k2N~WIwbk{VNWhpEq`Em^0xF-YOj-I#
zkk`g%)>*Cu)iM<e#9OAY_zDZGwjhDZcR@PRcOvM2y$xK9W*}i;Gic+c3QuzCi|sxW
zAg*gwtkB8~-h~Amo>x|ZI-N%+f5%CH!CHZ)vcDOy1yDa9EmMMhxzk+RO9DVW{({ZL
z)eMr|a+=<<DgwLL!{-0Cxj?{QcSK&<3=B;YFV5)5gTWGu&PozJq^u55-R?An@TG3t
z`H&o3JZEH<)v}Bo+qe0u-QN^?lQIGstYzSy7UoqR)QnYEG!`r^o4|n%#nn5<rNOOk
zMs<(+2u}EN&uKlt1l*G8)_YD$!r7&g-ayV3JW?<C(a^Xtoa{gTxrbE@cnq$7EpPgV
zhst?a-f}huMLG?&tRNvs;WA`6_>=|-`<m<EZ2(6K+k29Q_Q0)sTv-PFbSTd}&fm=v
zpxecrBC^T@wDWAm+YSuq+WIL>GaZ9yI|j)C9xfnRks|YT8PROKumbxlBlzWQd%UBI
z1^%n_nVZOBL__O6j_)fCf$EUmV<}b!n5w(vQC!Z52t}5<(p?5{um9ccw}sRo>RW4)
z{eTfA@xI#EOJe}HE-DM(iQmLBj2Mlt?cc=@viWPJsSg6nzAW8wOITg0^ZkZ#2IMgF
zrncjp9@r@Ui)fFX!j2DHE*!qffO;-#a#xq=f^>OXo6E65%yqqQ?T-ut5=9-F{#3ef
zkGRPts?&)1)6>rm{-j5*YvxKUtaX6N>ZB{1Q!ai2cR8J&K#%--T5DSJwc)*!n$_a*
zR(vMKg?sQUJtCVuA5UP@hGBmRpNFFZc-M(z)*4>)sKJ&KbON<NMVU9NF>nl@4yTPU
z2%$%P-Npyb^lF099DT*tGt+n+1OMp48+!C^uY>dQVNHn3&iKiGc^;2Ey!N@9kpb0-
z(2&xrH9$3=s6}L3!f!}eMN(oI(BX3R%X^J9K-(pZ_1cvcoNoAKCnJFo_0*><HGWhF
z-_gX)lpkw2tIA<XpK(USULtf)-b5W<oaBsV7u>{SO=YUQe=#B3Si^ruzNvxZUnhrF
z`)$0W^T)dGI5T?X{`J0@gBm2&t!J60?BEWyJduX7tSGS1>C~Pn3Z$)5t_dwrA+p?5
z5yKre6c^Dk-W@{$)5qO{^pZ5FuM}0El;S{*PxvF>Nm5`XjKDbKK#N2*^F_`Lb0W9Z
zaQydYGEjwD*cxWhAzl9KtOiqDXzY^7hv3t@cfRi}&E6e)#KUYw!%D@2K6Q@NjtG$9
zwvvUdc>p82DZuoQlf;X{_KD1{B$0sM;7d#N78A02cPXtogb!VIaFw%RC4och>nAGD
zSy0#FR^aF`KjP$nl00`u6$HgEaK`wup^u$fVOwVfkbuFdGB!z72$=pxg={&{)}6PN
zmBK=ZcE)Q|x>^OY1M;=F)wxjVtsZMMA&dr+Vy0(;RbW*+)OX=1H#(Me$?R&cD7xG;
zR)5h{1%!jAe+kF%pvSpEguSccDCR4kz%Hu-J|8^(@HO$G8&nE5^Qn@^V&w>nm!t~R
z@?J`?QR7FlWs$aB%~B|aEwt;VjtUS|FX|~4?m+>!KBp@Q5D;^pNcYq^6&N3><|sTU
zh|UYB^=k&mpxeoUkK7wofV-Zjx12^8<$m$qeAy$5=9~_>h+C;bOb(4$Zo3E)ydM9}
z*`A0LzExPgpd~@%cK)14oftZ5y_90qCyx}z_lA~@lHgSiv6lCj1mai@(^~dZL|zuB
zNIa2bxZo?{7qcyiL=E2m_`0oxSQZ9Ek0?@LP3^dOrKmLe%<`!@;HC<y-Kcz{v_t`;
z{$I<l_7YIQ0gCi60|}WY?_G81SA!NOs}C_3WzbXr%ga1XGWwYQg4i{s4tg)di*sMe
zqK;GwQfMQiyykP7C8C;ezic`BVV4|I9m%cTcBG&Np(y|7XS87JD&vhW^zvx5dz{>W
zQxJ7WeNID<HXPX}`=FnofbONN+7q@YC_%Q^-Nj26I=0DYKdUGr`x!+&X=XK)u%21+
zfJz_UwnUm%i725JM$BVpfP$3p=;Y`Z2JpJR+iq(_38fmmYHo<2ASu~a{}2l!;JuSK
z-gH$NRW(^!vJaCH@kHmi{{RLH*5Zto^UBEGx$vkJCmG2Q-ARM50akT<)jMTX(9kyb
z<3cu7L~EPEp5$l@@~?7dqQzCvv~_>qe5MlOzAgIu&$KZZ*;P|t?^H%xaXvJA7v&K>
zZ-aQ0rwQcA|GOG!uZ+aMQi?c*<dAe>mTOL>2^6le98ynJLTL}ry_8iUpzTDe@`DQ|
zKoI<7*^{G)5;80vr<zNmN318f8JJB$=c$t5!8iq^n0QCzHLVEhe4FrKj@lH=7;Eca
zn#rTs(-)r^w)3Nen|5`3cl9*txrM=xK{<5x8#?xsz>VC#7qhQtn?T3Cvcp}cWzq95
zPugqNn2{38?af0@CXf;(5+5^8KrU5L<!72{P_5g!)*w0)xK6cH+UqWjjJ#V@tsk!A
zW|EEp&Y8wgB_`KIJ1B`-Pq8<BKRJstk9Au3XdA<m*zNGKAL2-`B3)PEKtC?CU~}_y
z0|1esosoJ+1eFJD?a9rk#6MB3y?WsQ5Z5?zs?bshon{Wvd>B`YWgZaEO>f1Zhd86J
z{e2J0w=YYWQ|iE+zHy`+UNM4#`^HT(7x+-Aww@lregJD|Fsx%1GlEV*`^@A+JSgn+
zarN28A<WdxMsCX75LnucIiFZ_p->r8ct-ml?1cFq+oTW!;BYE@oX^9K7_=Gl)T;hq
zg0-{9ZHn|Ex$2g8dIvLN>Zm+=<;M_4sUhvrp3{SuuY0liB?cs7&2g_E8^mt*bvDRr
z=t0m(%Hy~0bm+gQ_)x`#KFseYwb53XF7!M&a`KcY4LZ#EU@_=hC+3prk{Q&f15aEE
zzj=vLp?xv_M`Azz!V2U6O`nj~fh#`=!=K-8;S8dKj&G)$uq0>Q(o><@kav}H-tFx=
zKGSjNLoMkGcJ!SAgJ-uEh{<|Zed1ol-40IgOYAGcJ|0b@;=#1wWb|#t>#a-pz4|D^
zpluA^O6HBhvNb_lD1#_CwSap{)!h4b{2e}gD#YR=uO>(@-BwPqn#XhG3sm;Z)Zp&I
zDW$GgH6WlU<<0W;EKXCG-BP~MjK949&X;yw9pdiJa&NUx<EtG1KKoDo!o`hs`l18W
z;TE5tgsbor?lGQ$sJ?dM8D@t%@o6<+E0%m$U-K8I3hf~jruE^!4zvkAJ);KniI-p4
zf1kitDeJsP$_H`B-1=$S`CZ*%t`AO>oxm%8>qbS(4dd|BWw|qm0+%F7izmL0<E7!5
zIvnYvxaG%$Ar=}6yuwZzqLOi3_eW#L6mbGK&AQ|e6HkVbq#xzm{o}hjxX>F=H;D&h
z*SaZ^WVl*7v&Y?h0*{sY$7*(U2EV2qcZ1!B1X<_&RP`q(aH+OQlQ%_kIGX}}-gu%a
zoFmN+*4F;Tx96CwSalb00fqxFdmB`MR*20~wrdg>H*_E7>0HDsDi@tPX;t9WVZpP9
zWvB6(vJ#8#q-8u~cp<LQR2iBbzlqc3%;3&hGFK`tt>QjP9*%`KmB6<5+3;!gIs5~5
z&%-io9e2_W*NSdagg48Bnm5VwczWuR-u*Y5_|z^Jm=P7h?Il0w$-@iyFA2-$7M_1N
zubVtILxcj{2zFVYytRl&&?+7DwxdFi5AqE4^vFXrsr#<a%o1*HQcW7HqDHhmH)bb6
z9u8ab5#obZaD(M56&gorQF-&p2#-7>NS4~12~}Lf?Rjo2G1JhaGTrk1S4D|%Psdxd
zl4S#zS3ci;ypI9J1^o(pmLLaz`(o8CM7QumT-~Yu<4lNfKP6d#PY#}m3(-II_=n$Y
zwwG9wVMQbfsm6>{S@^KTZQc<`g)(L8FKj(xN9m_p!`>>%LTeMx+P_w6lwwm<wj{%a
z4)pHLkgt(}1n0c+{l{q$XL-xMx~JSIG|SzG>68r2Xwr7=?DiKUoWjj+$cs+#Q><bI
zWuSF1hz0-6fEXepRv2mdk!n9Hl4v8qYD@SF?=B`3rubP>bZHN|>uznInn8e~qX)-j
zI9bshf#8VGyh5ndoXJ2ci~v;%2gFW>u%my#;&s7G1f_mCptbJ|0oFeft50)rA@f2>
z;k#2}D06-FrTB&2JeuY9{&@^HA|@@h^4LkDDS?HBV~GSPaG|ZT6XHdiWe4`2YL!A)
z@BhnJ-R<Yp-L8hYRz6e|ETv8HC!nW^<JzBeWZ;tl@pVn<9(0O5!M0LC7A@9~G_~!{
z0o_TzI*9~PC|?(Q3=I*bu$4AQ#mK@X4%Um@tHLPNrvF|4sys@_3yzcvmILW4zh}%H
z#1Pe^<bmf5N~nJ$#+zI~gh`!tQ#2-litC&A7AdHp0w&u@MI{A@b5wj%W+{a@ixe4x
z97rhrCtbAlrXu_qcFt+7l13+v9Oo;qA*1EKXB{8pR6y#Vz<j5f3{vn6ecI7MK{JPs
z3?-J5z{4~)UZ!0Zop%pa-QTN*1afXX<+rE6A(Ecu&2vPQq4GrAtX>_l3CUZvFsnmm
z^Vw<wy8<$?Bt%->(LnDWJs;Ov&;YuXHC!W05tVQJGkPPgiOyA~J$Bjk?R~Y+TV&*w
z5e*e)tZ-Hnx!yA2y<({glLMh9@8eZae}j*x^X_}w*iT{0T|WP&!Q*%HyDD;IQcFL=
zr-=kh%6R0ZjG&bMNLxh<3F$a*-w<=qKpP&*@gy^VlG&X@5&OwV>*KUUzP>uLO#$u`
zKE`lh#Feu*jEvqNJGW3=MM2GVrM)V<IZo$umY;Ae8U4NA&`3K+LT?#U*~+X<!QyPR
zc%v&Br6xz5)%~M{X7+d<(cjIjRcYkxW)?CcHPO=7+#;f?1Fi>*ubY7eXUmZs4iW;6
zTj@h01f=`!h$>gJ8RTiyWcik=pt}_3wwPEk#Q4p=Kl_gv<m?ra<=mr;L<M79&pYrV
zskuf;g$6T7@4a%K6;njf)_!yP9jxf|Gy}`vF1|(8sM820kJb_`LKV}t@s^zSb~RZu
z_`aoffJR;pecvHi;*Gty1v=KBoNo#hM+Pqx)61an=ij&=JRQMg!q-*0WlTZ+0(X4e
zh!h&oRA!L$TF1nH9Cl4lFaaL3qPq)O5-7}4uSM661{R+VpH-wb0fR1@1&@~^h_+dx
z*X<Sqd`P?f%KNM_Ojrz#o$nJssTn8Ap50*v`8y}$+4=!yW*;8cwc$f76{?gENvtry
zIL+Q{12CCcPV3IbjT&$7<H+e|1Ia5p<ya;LEHhbt3EXVx6MgWI_$_t_QLnsH^}+}&
zldL=m4;auN6Wa)`Ms|>5h*pw)X9$^QF-+!3)JWi9aLw<}?0{dnaC_mG0jw6un0{2<
z<u_3)0*Yk^+2N9vGyn8Kk=YYT2ruA-XU5q$g&o38j21qs=|gQ+cjDJ~Be*J|Y0>Z}
z8%#RO+@K54gL~9w+y6!Wz&W3huC-la1C^bwsk7y}pyRV9BGy%g`7Lw&qElpp1&#Vc
zMohY3HhK0*@wG0j+3aS`*F{#KK1ZDV=Ar|E+AlK;(?+ou;+H*Dx>(_cvY%1hCv7;R
z_Ow%pdlsV!U2e-8WQ8-yg~oI;+K^=G<$b_)5j!XH^K2SB8?4eDXzPyGg8lgyg|3XQ
zU}b?03X!gC@Kdi1)lqA~g+`L-RmBbL)r$W|ogOyW>zYw=|FR}T=clu!>1|_Tvpwhc
zMYBVh|DR~SRSmGcQP;b`O$E|f0{5n@Ibda-@>VZI15SkY*ce=<h8O?Qj$2uALYpP;
z>1`Sf2=;rFiaKau!{A!@QH%@lySd{Y_tl}sP;@#+lMW6H{%1ow%>~$@mwGX>>QFae
zakV;u9-=%hKbk4x2Em};LE*R>tQc1eT-(_FH|`d%8}IYL?CpHpSQj-&5b5xh_GJRo
z9JUJqalCMD<%VECy&9}qQc2wX%M3=9Z_%eTKIlvz==ohl0mGX6ZE>Nj(CHBHB=0*v
z&@-j0wV$Lw6=V4NYZ-R%fMO0kK>?tp*QT?UrhpQ2p_cC`2Y3d`7@dm}1Tl-FsCR@6
z%H3O2*WJ0GFUKhQFtadZ7yK?4FWSw&P9NS6x^ctf*^sfyw<7RQusf?WmJE@mO;TS2
zd7y{Y>{eK?7)W)_OU`+dVJ7VP!s{enz^(3x^1DgE>tDP=p4Ma_63WeooA_XumBGcP
zR1(y)CO$YE+^v72m6<BK2YeI;P5i$~L9pUzli)EjeB*k*+z}}NYmM8>$7iKsU4F8G
z?Ian>OIm|Gw*;Z`ntit<K?e9`xU8#hkwNOc<Mr}*VX&G0t9sB=7LK}l8I4zyq43c_
z?4+J3yk7g=^!BYBh^lYyHR7Ux%-q10#BDK1!m^_NqnC$|Q!Zy722$YORd2h(b_r-O
zGV}6wRsa)UuEjS~6v$kdurwT!1T+?^^SewD@=jhXGKy4#-?JhHGDA`z>!E%=nn`&#
zw?s3%R#gYWv&!G<6Vkx1a5;YGpb9+lYcF8h^_dP56S1311juJDIs7tM6|yV0wrl$}
zz?>?k&XYzKY(rUo=3XU%yUX-!%8(|oBu{qcu*<=xjZ&8aH8NbU4lq`y(uSEsdXlz0
zL?Bl<<W}wO<F?QHB~C3J2q);d9AcG+t}bmYnh#`PT$@Wh6sZd;ni1TS3-S;boMyBC
zD;X&Mb5Cw}>cQ6i5jNFo1&H!-zH9t?cfPR;#{cvTfcsgc;`~KL2&$k@ne!xrs27LP
z)hCAVSg>usA-xi`jOzKzb&;Uubzl+mvJucXNpL;$Rf7C2&VcQ^szBv^vn@glfGbK`
zB;mOdbZaylr_3nBp!?3_up)q~McNN)@|7UUJ!mwORtY{PioT?18bhetyO(F9l_0d>
ze%Z@ipZC*iVw3fmF`V8y!Wt^81aEHg@Jim2gX~h917R!1;3{Q)<4Lk2yy6YAkdT&v
zh0yF%QWO&?2^dpU>QMkLo_@ye5-BilV08a_%miM2-Sc2=RUZDEKNt5XR~(#K<8faH
z6ZjA{=&&(IgjZ~<GQ4uaP*SQBGHGD~3%aRq{x-@%`|AYXoh5#l%wBvlC~E@6t6Oq^
z5@liC?*glw0uOjwbN+X1&KOelIT*K(%D~S2P4BqJ?4Tv)7~qv}48{($i~nc{@NTl=
zyyrJY2#)t>)OIq4_xhp@qNP$$BIo7zd58v1O|WTa(Hn!R-Nv<VzLLOSLX&VIe;eD-
zANxmo1yDW^JZfn#4lAcrPjD)&VtgwG`*!vL<R-Qs9hwt?$%<g5M?wqOv8N@PkLxhd
z=S&^o&J_axRhNNpDO1?>&SiXZ#|Y9&-wkrc3c%*M?6fy(W7tKTnlu_+BN+E`l+BFe
z2NUy7zonc%*sNW^X_pIzFz{?6(XxyeW{c&DCJG0!gnN|&oW%w(?ZQ9!jD-h06xQu)
z=mxP|nkMTn%lhzns&v>qmJ4cVGjz{*4PsphG4<01yZZ8G$UM!C16W%sQ&ZB1u%CR)
z+4VQ{V1H@SSlnM$zymvMuE!2zALPD7_;>1pZPgjSAGOTD_99Z$X?+x%6A`Q!QQg%S
zV!A@e7$Zc6#m)tHOkmtUUdl_})PY#<7r2c%14NuS7@op0jm`VlnXry)!?5)acBv6M
zsM;uyy0v!>GxIxkJ^r9JaDHEOdHbFgF0ED7vr8>tKW{W&OeofZKc#*<|Eg%9^o>&e
zCjSzqsAHc%BdG<CbCVD6-=GE`DJLC6=@m@TUb5iJJxy5exE9XoLJceO<uRIj*D&Y&
z*sOYbO?choxTrQw1;0Zgf5%2_V6iMm)_1}+AhY13z<4GVjD3EgKk{=6V{95#cHL43
zR?Dy()ge^iTu}7jkMRz+N5qZkPnbFg3uG$4zeoj_W9*L3j8Q=|bK=5vT6K6TUfv{f
zp9(f_>9d{&8ekkcarEdNH3)k!mz(;H3SQ<-j~C|C!l94WYi1&9pz`$kQ8O88uo}p@
zX-A@moQ~|aO9d2g$vPt#@|YUt_x#wB`^Er`M#gCyrW9}%jtX5>p@EKncX(7{m_Xjr
z`O|bC8J>QBf9z`?4TuCQH|9FBKvc?$h)dyQm`?H&KUP2s$M$6f2->p2iG#{^HPU3L
zncWE2c}xdA#Vl{6FL6M_lRs<9k4TVti8UqoB|YdWD-eFUa)GGWn@sOzRnXsgf8DB;
z0rn4znRcgf1It)H!;I4|uk=PI9F}GR4SLQA<0T%jn{3v6^iu_Tn+!xW5}842EHG33
zBp<km?7a4|Q2~-*U>>I`E8HBIml$2<hsZvag$KjRz_+nYl$m7%svFPk@4XNJmg3;n
z=&Q<b<fw|(L>C7*zEWjz4iW<I2Yc@gYbwL{voU<sAzbi300030{|uLRJk@U$$Fs8c
zxVDRnYtMUa-y<PKv}~e5C@bxRQg)?eR7hoHm!zzFqO3}#$Si)ciin6x{rr1g&+ELN
z=bY!fKcA!CO6&AKBn4*`*y786sl&s+r6rj;f-u`8wL2t12AJ3@e3ZJ?!AN}H@ZCWn
zQ2CVBEA>hawtBkJXIs@FE0c#kg(d=ncf3pLrR9OUroc?7M;*?KTv;e876s2&M@vuo
zE5Mfd-(T0UXuvy`xKeF%64)=g<R`Z%0uxI~NcMIO&^T}EEB{R#CZ22zAR8-z2Qiyy
z+^zv!2cp~58zo^{F@`s<K^gp|iPTF$n$V*kCly~N4V+z<bz`?t!ESxF?|lm`xRkNX
z-&H3IX0v!w@VhGLR{Xd-WvdN-!HF-v9wtM$VAw<D40TwE=|5v_qXQR}xTh*J<RPix
z*YY1TO}JNg&Hg=yE}W>Gc01jw0NmGW-z@fNf$8U@)xH^B$U5&Y*R_rUAwSrp8+3Jm
zM}e#4?~)!Ed@7Z81to|H6L&m4t^?M?`~0|-44`|TePex$GOQcatLKQ-g$7&Ib(fFP
zfXv5ED`coZS|d+j46`2GH?+4rH%*6-DqDe?1u8JCHXo^U(}O`$joW0D5gdQ)e<n*z
z4bqEaH>Aes!KIDgX5!UNK#x0j&X}wYw)XR<SHtx{i^Kg%&$ua^_wE@H<j{Z%Z~9Uq
zsCvNBwr@8_p*idi7HrLUt^ro0ma_32UD%`$G90~|0I4FI@m42IIBS)ky0=FMezX+D
zTg3nfbCPT8Zfk<so-4kB`Pwkp{w_w|(h@{HBe;l1ny^p8i7H3agls<dXY-Sm@U?01
z;nsLfusD3Kx;sn_rgY@u{10z{+^n(YL*kl1i7FVIj!=O>u`=(b!41%{TyVVUfCj`8
zD*@&16u2EL>P=C!0?G9c6BZ-YLCNathEPHtG(?}P<k(mNi(My2ueTc5mzh5DKPe4+
z=|%V0?5tpJH)qt4uqv=eZJbPaCkFl7p6T4ww1QBpjGV{<6*zQ2ich{o5Pl8m9M4?d
z0Nix@oma@p5UjC_!mP;!OJYCbipw`Zpx`yvXGs)jbgA9P2h31qrp2ASa|1}LZTl<q
zT><_CMOL3t_(^b#ByYU;%@X=clJ7;j%EO2^ZENz@NrK0x@zg}LCGefUqm!E|2M=$W
zB}T1w5T{$`3gh@Jft|zagUBUm_@&$_oqXm6<6%Xt3Hds}b^U*zy6#JWq}PN`uHXoR
zrN-W=Pzm7PL_p5WKQWNuN;h`#m}I!pC%t+16Odk}?dBRO0@<Pg=DnsfjG7abMhDJW
zK)!SFE<Ft)nC<?&`bBt-5oTwup0?I^_VTHXBwhii@oR0r(mcm7X%k>J?=pjD^_Q&r
zEqGvyYvbHl-yEZT_jc}57BjeKOF!k(%mJaL#Y_T`a}1d`b1oC6rhrc(J{jI&1G`ka
zjGI}rjIut@&i0cgaMH-zP^ym^UccKNCfqW^;0%?S5kX@J_ER?C+`SGi^2NUAz4w*z
z(8kOqlG_;M_-))Gy#5gVdsx(Id#4yjue{q-<!J;WR=$h3&MgzG=lrY6cqbTTJt9B-
zs|+DV_s?ez$|7<2#W6kSy3dTh*o}{z_zl6xdSWU;Z=U!V{=jzp#D9$9(^_fNP&)j&
zvtGi)c9vjXJz_hxeVB2y?b38*Hw{7y&2N6`{X)z>EU?$e8e~j~RJq+JXfQ6=_)T&B
z1ToI?M4Gp|m+`@W%;smA0T|c_cwej^B_b;J3ElGSX7q9!?c7B+0N3Rtvol|ZiIwUh
zHa49uhNx?3@$Gbd_(Ogy*TX(UQ0fwg&98SdBJT@quNBaTkS&Gr4RgK3a^pAl2%mPw
zn^VG>Cok%OTo<*k@kBS#J>~RO_TDqbjxq1^&-nG=uY(VzB&CZ8wkm3H4M0YIZeZZ4
zG+n5F%<48G@rLlsvejZ%f5Lb#5_%?9S{K+lPj#zHza(^ZuGjCkdce?|alYJAr~`q8
zN@DcKZNy?=t%E;D5kp0kw^fy{1BrTODZ6H$6E*p-<wM=F7+-R0hqNwf!));HN&nJj
zBI2APZZ!>Okj7?iFVtuOht_uLuA!$yTEfqpZ8j;yt!8b_<Kvp}@yzY7HQ`7+BWnvq
z+1w(!TU1@rBsC#yyP~fYqmjsDIb57pUqqBmUiOjSsR0k@p<Ewz8wgHgJGb(nN<#T@
z@SBw@>cFn@ODI>pp4j~A^`wI5L&B1G-fN{t4Vt`Nh7+^vh)eZsOy`KlL_^-zkALLU
zz;u(4UgfDeLblwL=?A5r7}HLs|940gGHw{>6xY`ga<wK>@w`a9YzuaZM=FrV!N<+5
zo_In&$jT+&M8sMS3BD##!BP6kxjg#@qWx84)OzD*#Bo1&=ZwQDV4D(g%H(PzF(gb8
zJb$c(cphv2rRkkA?2oacG>IbNoaEh9(BDP?$84N|kutExp3|=4dP>*?J&R-nydYeH
z#=2kMQi7+xXSPVGHW62T`iO>VbP{s*QT``*m7vogs(D9vGZ7ipcgg448zSQA`$n-d
z6qqyi9r2!gM&!Mwh2_$_i1O1bP8a7DA>w08>sU$)aYEi?Q_|megrZ$ea%-R>DE}z%
zH1=yF*3C^`lbr7+-knYxEgn~Z65%c-=OZ0NR-A(VL$O}M=3wgwc|QfXwIss!mGP4B
zKAbxb;r+zcbUz-_lswql?R&Ln%WGoc!tD|Z?jeG0O4ajdh&<>gv3o4@y(P&145!{t
zej+L(x)wE7$Z)q({i9=U7x9+r%{Y=ULOkhkj8?rshS{OGxCid<iA1@_cjWCxiOPUY
zn>@wHuq7g<`?_@xk+Pkwe3Q`_VgJcvK6r;5s8Iiv^6&2@eqW=-ZS|ZWs!t2Gdq>N{
zKc&*52aWy2g9?Xeow_N)C+&Lmkt!KTPwMt~<2poq^bhIH@R%m3#h3L9r=_9u9J`yb
z%rIf?Dmgu~ah7Oqjw_i_mxd+DxtF!oBShlqVv8rlcj9WCX6u$PDNw#vCFXc?lsF&A
zt)RxWK$Jzi7VE5+gpXgp*!G8v5qw`3R>syZ5^4$iq*C}K!GzZ0`R2w1fp<x>H%)&M
z-`(n8R`^N4hX4BM)~sI$>65N1cgj}?@moJ12R~o)G4w#YzZKJj)72X;%>I7}hl3g;
zBz19k=AkWkp<tE>JpcAV^1**ZxU6H8a3%?MDo`JhkAEkAle8}`?`488(?egUcu3&a
z-X3hVWr3Ipc&vZGk_Fx#ga0-siUC>9e_&wSA~CDP$eY^11`}NSBgF*8;6l``xU$rr
z#D};z8J|3M*e$=w;=pZDSiC4ikrDhwyyy%L+N8q;f7R@7-6ceURQS?``0$5N5WisA
z#Lf#B!ei?bzKB5AwEgpmum6aJgby!YkOV+VSwGJzUj)v#9_b$_VFJ0FQe$$jAc*2+
z()n-^*mzg1P4o&2u%0~|71}NgQC`oB@^^{A(#U^*y2{u<o9W;E+&NJwSeR^jzFh<a
z);-=+$I1b{H37GKwu?g_*YNO4un1gRpZaj-CKvEr@%S9FC<)m+d7~pMMWD5P|Fd7G
zd0|^{P{xNL83+<c3;ZT43fIqmX`bFC0Nq1Wow9f`<jb6My4)-ZoTH704u}hZ>+GNI
z;LQp^PH`#AxF-gR)z&BPaf-lrb>fT}odU0Zgls$UkpvsHb{6c>6ocTgu*XLolp)&L
z+rc<o0#36<0Vz%#E-pQ|9CDcoxh53h%41THdEZBFL_!MWllMr>uc|?1%6sM-R#`Z^
zx{V}1DFe9+-mH07G@(vOb44hN3|E<*(-KdRLE_@!3<-)3JYFaD98(kk`#8C&G71pn
zRz7Ews0${yy)sF&6gcB|VKQz=5khih;`aT}gP!bTJO8{;0n2K!KTm3ufR#&ULdw+u
zY8$xTZqri-8*zW#&NZL&g8sYfZ6OUtACfBcHMODXOt+}-9aVT<vA7)FMTcc`%`&?Y
zUAV;IyhyvF4yg{Nr<tA^Ld{U@Gs<xTa86Iu{+X!>d0Q?RE$laf@QCDuu$_jGr+dH4
zEJ7QqOW6+`&ohE`E!T=Y4w%47I}h>qvJSkNng09A*9e9Kp4tiIm_v-!iCl(_E~s{m
zoJq|vgyMgc%S%B3al5;y3vYB`UwX~3ju{<T%4ppZE0%Efobs}evL4Jz9(Z51(*T}n
zNj}iuYXvQSI{eoy^x#GC`jqeUy3jkzO#hd$5q8%;h+q-ZgNBXVoooSG&^SLa+8A#Q
z7bLQBPL!;@kK*W3b%qL0Z$vfuXxKpiH9t*mW?gu><;b+-2?aQB=y2(7v<-ZamZmwA
zbzs@+q@JsT1k_(MC9Ndbz(3*e){}BtkXG?~+doNO*wx3XsJYz+_%(>o;z#Q6z+`5$
zL+1y9k~)Qc<JRz>mHW^+8C7WG+Tj~xILU|&TK4&|(;7ZrmI?_8RE8e$gYWw`uwcwR
zoBE?A8-e#ne&g}`iZCnmlI4CeFM9A-8sA;Cf|8=!v;Y=)kW7yiJk=_MH}8qwd0=J*
z{n^W6{r%E#OK5MKeSs)4#R_TL#I5<~$9MQ`=1CCzgDUg=HVGXR-lWy^S%S`=hMk|?
zgkiKN*7Ml3I4UQn?~0{c!p78wXaPMwcv--5L$*u;53Z)Jw&nn^e|nIixqm$v>m5ub
zb4p^;*()x^LIAaG7osSce+kXoiv=;Vl1R4F91K?^U{~VO+bvJO6U-@pgif+aqKS6P
zgge~=eDr@3TRVD*kAkYG`c?ux4@&IR^)!cHw)Eir6>k`&dq%1IE=%Ash9nc;RWrCH
z!EW|*@(ZKFJi6}aRtbD3!!xYVXA1KiW?Q+M7a5p8!#W@=fepf~25&V?fsf~es*nCE
zgS0fy`+8g)^-aD?RVAB1-`UMG9&=0>BT*jz?u9spv_$4*|1^dNN)=*P=UMT)t}v5O
zi#T2#hvPX1jo~fz;7DF6JAMeeVO{<~9GAE89r*dh2s*;f6RWCR`1I|P?|Nnl)Xuok
zDIRVFTkePD(U0)pw{cF3&(;!nM9-e%CX*2u&#A&n1|POzZ_J%L64=@6Wnz(K2>-pL
zEnaXCz*Mb-aR(_$Tz2QF9WXM4+c^gDx>ka?o?WrLqEr%BlY=M+hw0$`A~8QnM+hr*
z&SdX*k-~YcF8P0#=&=8Kb99rqFnW;YE{sV^qwT<Bd}2!n)wdmdg@1*S-Vtqhc1aqK
zohG)tXQu<N_V}5q&muUM{xTqFN(R4eOh1zOh6XOu>P!N!MDaxW5u$ir76+cC;_llt
zkUGbGGyRDeZoYJMR|*Fi??TR0Y9tNPdB#S%OGtRr!e97)9vSTm4-t3v&_L<by?sLY
z;yB>U%sp=<k2^@+l|tKTP`qjRtxbUhx-UkHyML3%;ljNE{`NFzo<Co%P$`K|F{{2g
zR{<@A@?L4Ko%dyAR<k!tVW;i`<t}GM4COK|TG&g2#g13s**-~QQlPfMlpqC{k}tVi
zou$Fm#tn~qSY*-7NoPXoH3iRZzA}+rMgx}a@YWt3Ih2~5U2#cPLc`tHA0Hm4LDj<Q
zLX;jE7uhu2S8bG$)O?X!T9XcY&mOT2drij3!hlHlql`XAUj<&o&_OPAy|7cTJbHcS
z$oW;If*cQE<ih8*`aj*XXMtA%HIDQ%)!9)o;&<0gsa=L3olt(~XQ=|#`MB+U-%rI0
zg5GBQ?+n40#^%qkQ$+H<;-D~BRW#c;^ZuHb5qu?XdmjBy5uem<?W$~4#ot#C*vBmx
zL7&d780iQFA@MM^ol^}TD>+xXTr~!##gKIo|0u{>RC`IEu7>r}h0(&MCa`&f@GGk*
zC6t->C>j7YRG0Wn_)eOD-g}cU-FYS4**(3qO+^i<pNE1HGEKquqm}FIE@ixT>Ke=H
zget1USZAN#WCnx#U(g(il+oNvw`$|rwfKPEoY<lnXqyNII!-8~Xez;7wM50Tq@TQ_
z*UjO{I<rh0K^6SXRyxdPOGQu|aY|pC_ufC@FUKe<DB&UZQ}d__wsUVS<allY0ev@)
z?vhtQGvhC9#_`JNy}D$!$BF>m?1Bu-^(yE;*z2WnRtXQM6_uJ*5U`T^@zuyXWpq!h
zo@ol8pyKzw_uec32FET2{z_EFOT;BbEo((A@_p{QlLC;CPIl|jP{vU=E63-O3V4vO
zNKM}aK!0q|)}&4e-(<h@tDPgGrSPxdb=CleK5o+6jg;{3A(n#TEIDMps+`Nc7Jojg
zZE(GSf}>l6qmLbs!R8k-@}Jl8I47zZws268_r}G7RA(u)Fv_&HR{@9wbSU&y#6G@I
z_31zfbad_#Q0E5t!2c{j_@M%>Z!4X=S4_g;xLW$3&NWU7s<OOhR>1q@J-am}#PIKa
zS>vpe1Vr=u*q(Hf$FckYJ>szlI=y0VFp?r5l&0-?HkXXE%_r42#tY-`j31m`4=iB+
zXq2etXF2rR?fc<W{2C`B_+w42EFgEqBWh!sEK>E3H(1sP;yVM;QiV=)=y;WL@alFM
zl;p4Vv=<V@&+>gT9J|cH^F+Q_x4blV{3*^DPZz-b=5y^9eP$5E8_j3VDutItmCwj;
z5J1}4!i^aZGw5o!u8#gKfhK!~&#wvyAmu#$h0sS+m}PR_I?5q|e21H4lGX{}wZ*Gi
z@jj-|G`^Z+r74asL@AktPXGt+h4ON&6?Dm6&_peOgimhHa`e&#FuFsNOE16#3KR}B
zf2bG3xEtr@@wfoaHKmMPnllDpyN9>8Q^inL(B>TDtpKu0)x6I-X$;#UHJ%+V5ydJK
znI?G<#D>Cug|+O)Kv+~N&s&RPLiSu+bdw<FHD+t?$TR}q4_^ci{S?6#fgp(n7a@#!
z9dW2Z!w5VzYeyp(BG{H`Pha^fgcsGf**QKp1nR*php%LdVD`7)t5<4-kyCqN)^m>`
zC}>m*Ii!kUbMq)!Iz|MQx`f9~SPdcTpqz#FbrCd`7@6JXA&T+#4Fg089VCpCxH@V?
zu#@ZST@f2G-2N(HbBhZdj!^3SYNkYR<+rq+w<QS;yDP^ux#&=wZc5zH7R95!MyW;)
z;wYgdK04S$gAZ44UsX&H#V%?0sHy-76b$|?VY$Xb#XN^N_9an_X#IM=FI^IUsYNWm
z*+hf3j;zCMN5ybM%cR=f_fpt);juLji3T!*MysDVNcePPliaL=48|&+%0E400B33(
z)ZEKSD9b_L6c{6ms&9fjs$Uww^47k?dVb>QyXt&0aaIm1OEh3twE+lUw0<G2BY_IW
zauH^a$jBUew4ABP0D2x!Q|h=SagTvePV^~x)JfeJ7LacM>+6qrWh_hL(&v+Q44XCn
z^UrxexdCLCiqDBINul=OuijBHMT}}vI%3vr0458EUxu*AV9s!ULdq9K%yOqk3XU1T
zCmk>Kd^uTMzGc?Wh7@eFoo5dcp+SKwi%Phi9C{2+{4~6#gf+1<|2}V{0o&tTyF7x7
zeAyp4i~W^RjkPhHIfn+!J^8CwK9P|Wv-jW$0~LJQw3Mx|LWAgwA%=U-$zyl3pRC8S
z3P#*ta*5bWhl;6{)5WR^*c1@mkyk;*#H!!q$w4|eX)Of2c%y)<_FF$~c2>ohM%x4O
z`wc;B{FBARQAJEPI>0M3sfsyU)Cc{48$xFFbHUFN6uiDqO6|Ij+FHK&>8u<hn5O$~
z39X@E%roEKm^w9d=uBRacQA(U!&EMA2PM3{8W();hZ^2wm%2a8Y62ua-+qB!C5$!g
z^xVUtj;%Vjy~mnOfW7#`^vgBQKh0KHE?-c?qv6(@>du?OrlVzP7n_wayY>e)`k@+H
zV2hN?8vjE~?7W&}Rq(pj7PlEYH8dHNU(IGWhf7v3<9PS0V5dW%ug}A^`_E`<)H2LL
z-8gS!V44b+@wM-(Sft|kjf=;74qCv=Snu2oB`Rosm90TekcuW+ySHxPCZI_sc|2}S
zN1rYn(s$%mLEX4Wo|hQ})Y6FHXGto^RNYv}@<j<>>r2zx*a5l?oxdpUQbA9>uE5V#
z6nsw~nK3Z}2>DuJ7R9E5q|FLP6hjr!A~mx&(G#GkX5Pm#M;RBLh0A1>6>wmD`#--3
zfF~5+KSA=!_=pm=fq96G?rPspe~bcHxlA2BnyQ413lH_D=yDju*3RX+7JuT96Gi_{
z!33oop8QT}EEKAK5_=e6oGP@t!HR;8>8b+jk|eSGYeSNw7l1Of8<;06;;zEe%h`v;
zv5keP>4iB!yt&1psaFa(5z(l<m?DPXOIwo_#Q?6T%`gvfD`1)S1C@Xw5oEfhJSp&+
z05$aw$Z98#b{iIAqV@`-_wHS__I?CR-72}t7f;3%p^9>4vJfs0ZZ^^XVF8(E)5Pl2
z<xufjD3xuE=kH#;w0?8a0(w?FE^@2M;tI=u@7mY6`jPee%&*_(5a9bfGVzr(?kQn?
zG%LoBVRP5ax1TTvDKB+bkyt5onJzuOQ-TkFIy#~G4>OoE{ggK4D2c2opGB@8;>Bz3
z>=ko|%s@D3X;ZzP1o~51nKF2IF<zU|7d&AK6Z|Fz8Ec$RNP5WZKg)yLYer9B@im3B
zo<~z^*0`o|n|DtRKQ9*Oa0CbqnZWD%=RdeZ#IT!qZFA6{7hl=k=Zkk=`?tCC2R~Gc
zqGx09`ik$oc>Z^+%8`C!Fq~jhTox5YFIiL5)q8w+t$wU~lb10JuA4KKy(EGQ+UJc5
zlKJt&o_p&1MvXx1dUsDRSp@6Sk8?S15kMVBHVN57M$l+D5TDl}jIAB@mj?e6z)gRt
zuUmc@!e8TWY~xA7*uRxUoHJPvOEb#~i<1pubIhEzz&>HLFysJ0K)=6_u(A=t_HX8Q
zMHCI;u;?Uz%64HKI4inCM^G3K$W~`LHPRt0;fT;%XJLGQC~-&8v@i;h%*D&R>2PAE
z>$Yd8FxK7`c~Ragf^HI<<RV$=@XE8xtT9IzRle8RALtgvN9TSQNmSC{=YJ6cS4V`g
zivH!3z^E7+F#Q!7^`(KwSr_vpBN5a;uHW&UNgTiMmmS?8Ndvn_eG0yJL{K^7K02@U
zCpYnIOL3n8+>ZX9@=0D4wTGv-oQ+uHF<;O3tXl?P7!%1hP$i1bw0|h%wMpTVQ=E*f
z5CbqhGxI^qO$?bwmWX;S8QgOs{3zHOz$Sr5J01&?Fu8B{;d=$L$Sc-otV=b3QMdaO
zPD3OVRBV@DC9V0Z1@erPumS8YnUHL)6UQ|5GpB!iCZmM+qr`d+1F)E9-qKSlfk!iU
zPvt$4NAv$aRrhfkKyYfmqRiS}aG=-8TK$>=x~*pK+(0q_{#cU^q32TQ&a=rnV2z_M
zU8xK0x&}~qEBEQIFVbj|z}PV0LBS)!Wo1_G1|T(b>D~vjEFO7s#rlSo682MWd7Mf$
zfD;{~JYM_dke~WmWQY11|K>CsG<ppnVIq8cs0SH2Q@M8Q3#g#Ltl!CHEgH1AvvuWj
z%A?@sYtG-ksbK!X`eEmE8mz2V1+A}_$AaVfel^Wh{AAu89?wUI6fG&&^<fI=I3hb>
zm#B*8nCMlp8FZL-k+<$rR>blm!(+?lYG`h=i!q^N2(FHnJ`Mwl=oph$-`b~!?E_~f
zKlK^HzUY~|Ldg`2wT;-G=Bkc9rWFk7R3oTU7Ir*IS3>194?de}brk*=6ZdqdG3?m+
z$>i>bHIDUOndJMbj(2k&Z}L(wftM$@HpLxOMrP8V6IF}qSaBia)0ZU^SU>&Jj&oia
z-;*LA^}ba{7h5j5fzGx0efm^IbdB=@59t+7k?Pp&oExiFU<Mt6#j}k~D(IE4`HuI`
zHNBvWjh{Vk4qL;;PVVKPVzguL!qnQ{!L~n=bimRAs99HiU+7b@;#aLurl%^(p0Ij*
z@Q($=Ee0BGv7+MUA8nznTd8OhruZ}{pMV$9+*dx*sF?RL_Q3&}HJ!0MRkm9iK(PF@
zt|>Pacf8KNQS({}$!gsDp11+@-JROh->ia8>yDi0J4C?)-FiM%2>@CbLh_e<R8Ys^
zzo@`<inuU*&a$cmK&dpTIqI`Ab`I}rVY@7kKi7$6Tw?%`UGL5?Z&Sv;yzH;<C}i9t
zBEPQiIe@xiTU7ErCG=DMS+*-#20O~038gmzm>#nhiCxnLwO}E^<R6karCTNKvzA}~
zl<lnx8Wj9=7!2si;`o3oLDMt^p#Q<JpQX1V`u)C<ndUBrKS=94qxJ*XhMCfx5*2Xz
zV|%sZJ`r?RXYxy<t;Ki8){!5|<DUSfr28d8c>DO=shU*+mM3`s4SXbH`zkGOMMn_(
zjQ_N4Jx>5=H~BmBlCds{FZ9e9KStHmZTDm);M0n^98at)4q-QE`5-TH?h5MRiL?NX
zbNz{{tI}xTI(Fv(@Zg0qV<+41YeHp^Tr`#>g^N@7W}-N_@qYjS0RR6Cmv=Z7UKq#i
zJ+7S@*SgnsuRUKYp-5?1EhD5*O3Ek|B6}tY36Ysua$kj#q?GU@5haO2Wu*GuKhOKT
z&pGEg<NN)7_S}7GSasMGq@qN{g0v(sRK`WoT8#_0X=R)!7%+k2x*6tc^P5m+nmo8(
z%!v<DzeSl_n!v`O_m-YcF&s4uzhdakiDGXeSufNZgQBzOiHRmr%&J`DQTF4+Aj22+
z$_mEtGGQUvu~P(_|L{F1E#t&0_W7@`bBrM4DbFe8d0}M0$yXs#Tu4rLSmEF^0>6_X
z0(#oQ=%~|{P3+*pV+jf_)Hp*pQ|~Fpmnwt~DG85s(zx;PUQ6d{W<!wuPiRn*QwU!+
zv8exz=fT;O(9Wk94PdLVKUe*ALHr_JM=ZY0ixT%nIeXX*V6ck$p@^*@?zhcwVEo93
z4mGi!-&6GACACN*o=Xq~eWahfCK6DYka#yzN*^xX8jE%OD1a_jJI{Db5s;_bWv!-4
z4@5GFYb|dDP%O=!|JywQ%qQjqKDE*VW;^15(zpPgpV%3mn<<FmcV<XD?{(q4ik=hK
zZvm9;l}O9HEQARURF=D<b-|lwy#0%sARbHJ9%&sXjLt%H4{eon;m$Kkrq4<GeoQmg
z74k$-B=?%!*8v^)W7-+4@j?(?<o_M+Y!^j2`NSt;u{xm9&8Ev|Dujb_ME#bZVtB5_
zxW@=|Aa1yF^CV3O?>lr%rkRVQ4i_>EFzSGvwbe$(9$^%BPx2kem%xC2lBHiS6(*)~
zU1b?X@M~mJ=@_pR){8U*<=mjcftj|JIGPBCt0+%>Oqa$DkIr43;Z(@u`BKoACW<zX
zZPcb!H)A<RjQpAXROpWt4f-A?h7xIa3`_%MF;eyJ#cD??ysf<bbs}UF-aBf*xac5<
zR(5B{W9_Lhpy|8yOtd)4k34Mk(;=d>S%2T`PAVMvDSRWaPy&Uct1s0m$m82cM(18X
zDl~)^JhOTui8ouLGEYk?;C_3jvr0)+c-8}T))La__|bXrx2Pftuczy;AQh^E%4dB;
zWbon+X=D*m!Vc!Tx7w^aFz>a;++uh$YAE%2_X;W_S<&Wevm5<9OO7|3E0x8ninG!`
zcu43W&al`1kq#6%JH5~FmBV!h&YswRBpl55u{dL*3nCK(jPoi){BE)B^}<Iork^Ob
zO6<`EuCqz|S{8{oFOgr!@<0V`oJ<r#{Po~=afe-hi#%#L6ZqxBRdFIcSi3}09}HqB
z$Lk^$aN+CDSO*C;90&~S5PGi<e*Mx6ai)qG!2Q<UEmsZCRoHUy*BihOP2DllPep9>
zy3M+6UJc#M##wdK4Z)+mZ<A(`5+1z9Qko{Dj>Bbsje!wH@WfH^9h;dl&e|lc2eYZ;
zme1;Sp976Sz9%Pz|EV(iuusnWJyOG~jpA&E2TY)bH}FooF$s5!ee+MVQA0M)UvC2)
zO<|@<JpE}F3B@{QwC7S(k$dA`ot3T`^xw-}ba+idnyxS@^Og!Soe;DM<THm_W*e!E
zMG^`UpRW#HBBRFGd}r?)bFeGh_Grs@60T)iz2z_>Vc11V&6EW|`|VglNFNC=joBWy
z>s7*y*~I0?i2yI2>}0)jg@iWl+$!vriYS=HD3IF?aKM^lghPph@j=tyPnXN1rFL>d
z^ddmB^W(RPCCaGB)}p-1LBxAP)j1kG7U0!(rSK=aGPb=D3yeA@ixuO6ai2sjAeJX{
zNA)fxyvOq5uT;A<&c8oNJR)cTWl6A}ov4T%cdw*0Jd?nFj+XVoe*n*}d!_w%PXT?4
zbah#HH=*D1#gO6&fL{TwnzWbln1ALs>uQn+whboN_%#8D#MH{3`$R;a)tCPacL^ac
zkLb;}F#tvk4qFIoa>%P^$9wjG0Q!;YHZpDL^VD+f)Z~#v?(GqA4L<xRY4x{6mknU5
z!s(d2yew+oTnQS>=0O9Wodb^N%|XcQ3eVLGGH7j(>JaI`h4H4MLi^{<U@9o?)$$7|
zl#;VKa`h|+)^_y~dUn(A>;2)OeH2N&X!2~5CeDr?CDG+a9+-ke$#g|iwK$HX{&BFC
zVMC_$R|&MurqIY8YHYG)6Ed8XD)WqFMS~zeZr)2KkSaWK`|!Fb_Fp^X-K55f9}bP$
zZJ#xUzbscNY|llo?)c^49wI9S<zU{{9mWurA~zBJKp6GZzg=M7%Zl09dLqBo2qs=t
znY2F@Lf_yF(nJR<1}+>q+^J{;c^WOX9?OC_@QLa5k_Q_S11sm{vJ7EtLA|EMNDzzm
z8t<PXvZD~|cM3CyA&_SdM6nbIpeQ_HIn2+2`fYDdlt&prCqXlMuap3m&NQ`&Y^M7c
zDJXaAnm#z5|FHg`fq*Y>5k2FaxbXMt<yqk~`rym{J;%tGfV-^!T5;dx#>Zy`IZS@*
zLF2!qk||9BR`xusuHfOt=+b*fzsBf6ecF~|ZwUl+nW#wM&E>;~J48?K;n#za)~=x~
z90W9tU(2kQC15MFGE^7p!qL0hXD)~kF!ZSx(_Iz;j9qzQpsueA;uorSF6a|5Sa6SV
z*ecy;nECGrz19I|{Y{~QK?GF&^o=gUg1AxKrdAQE1Ji2qms9T(Fv@GMva_HtE<RpV
zv69jOE0WI%l7s*X_jB#yG7`aEu3LATJflMVr!1qUBmwj|>sT-pDvArH+}aG$RCp&j
z@I_NZ5Vt(CA1Zw;hTpe)++jDS!f@$EcX6#CrWQ1~cqofwA<xZ{(Z3WJ;VMekJSc>l
z1J9AW={nt_`Xx=YmjX7iavxb0=sxaKdN4^#3YpcT#(WAXu%`zD_HPK|8h=@j!jLou
zUi++)7)^ok_JX;Svm)3#CHlT0b2E-Co7#B#Q((U8)|az$q6n@E8ZiyBSbq3K$kY84
zxZDzPCx>Yh<{lf!uD&CO)mFgv;vfY`GM79DG{kXr7k`i59U>l14WEt)rT|NNqz`AX
z1Tqzhb_&+ZV=e7fC{GFnY-!!@lU<T1FKU1B=_3W?vMy-4{*VICapG6KrZmnK=Wy&B
zQADr8E$@8(P@s?1>&5B2GT445#8i1%2`k6=maaKb;d=p7`Ce&RG(8o;`;G1w_P^wR
z>};e$>5|Js(pOpJ;mWJ6B$9DzX9Y*BrVgC=%Tc+fLk=(bjy*`%RKbMOw)0=xb)YFi
z>zV3xBJM5^(Gt{9#r&X!H?v;4a7w+Olo%$D!uy-e#>D8pU>9w2Tt*N2u3vAN-KBsx
z)_<2We^SHGf|({m^Lnu78hfvUx*}R6G&`%MsiWrFgMgPW_2EtI>+@R~lu!v>Dh32J
z(ClAvs(zON+`y;-;T|PCdGCj9#X${BYAH13cxnieGo86P7nSjs&htQlFbzEZ@uJtR
zK_f``krEWAO2U~`G4>26dVhFQj_qe-c=bjzAia%*Wma)F13#%_=$j+;+kcyYc72^^
zGKGvxdF-z^jnpxEWT?!T!wifETNG-pkkM+vGSk~Z4c{GP%*y95hw}y%AKTl>_;gC-
zlc9_%CNphL;QVC{QtFTQ?&>FFYOhH@YbzPGw$-QD_yD+0Qd8FH<C%i3$*4fW&Z(i2
z2n6UlJ)!LuMaE>x-;x7?N_cbX=dV&O3&=d)sb(roMq6fAX61YZ%(&GwA7p6(Ul#9w
zPs%0XkgToaI1=%~VaGW0BNlMy<?~e2Wx8J|`5$GPk;U1lp$YwP3$V1U@Rrb4#-@Q6
z>Y_R_7~fLmFHf&0H-{JJ?NP#G<;V4Eo=D)SA5{u_{Vd@9<*&yI{S+~)d$((Tt{8fC
zh~7!sY5~!e4$P*33JA`Xj}O%g;}*_>Pc%t-zhe~B8DDu^X|&v9D<z1Xh5^zH(*UbA
z?0026h{z--v(M)qKQ?IzZFjo`z!>x`@P@M-dWyK%1rBm!^PVe958MIP&nlEo+tc$5
z-;L0)YaHk*ACNu82N0h8uBSFz2FIM=JwN)36-S<P+SEjtgN%J}M@FR-HhmC_yE?&)
zDf8pG-EYm{<3nrlrC|wN%R2M5z@7;?MjAA=G|b@r>b5EaqBvg6G}`u`5+m;avuCR0
zk}0sc=N})rB8FuV@z08mFks`3LB;c<CLn(y?1i6zD4tm7apz`Wz}uS+!3(MhGz2o%
zJZz<NflA0|=+l3+mBShdZpp^5v$m>M;Gz(6#}(^jb28xI&|pE^oDmdXAll0w6GROt
zzBuK}fcYje+}_)apj7-|zEzk2`X3s<VfTXpSGJ2A71tU9-`w3p$%O>`@zF_dYb7HN
zICI{v-((2YUg0iX{rtF?;B)_0EEB$bD08&qk^yL(imc(H>v*)+o>7MwW~{g@9{>G^
zJ{ZmTfA+}X#RzUKJM-%-Sm$gs<L<8yNhw(d>b*QDHgx~~@qSjk*gBak^+6Bv1Bw%v
zwRw<%N57^}njQTY7bG1H=z*4%x<^VkH@0b)zu0q`13zSxwlPlXf}AZ^R>Ku;j7nYf
zZe-)aMj^S^o=0@yOH<6(%ro3bJD{L=te6|)i$)GySki&n(4iyQbS^4TBrBJ>^5RuK
zU&qWC9XQB)Ch*8>ZhUsr^y88`Ke`e6Te`$_fb8nu$6(5X+l=HF@=^(y{-2Nb_IfH9
z_**EK_VHk0r;zH4JOO+WMcy1p&*46G7kZ{I@nS!r*0-xk5MQ?B=?1M*;NYso-n7Gf
zD8Ajd=*dU={Vc5W)|OB}d0j!L)0ZFBz5Y#+$Rg-V6Zx3EmjWK4_4~hUC1B0T@CJ(*
zQB0v-j?5RJfUj3cK6#0NPIbmsK1*U~&UKl%?X@<zbk~-juMxnWTQ7PC&x)g)@cu_O
zH?+afp)J7sf*`KCWM(%>Nn!)fKLP}6gZqcg`uqHZ(7^8S#`>@nF3DWV<Jztb{8h}K
zKY0tIvT4#|=UN$@<)Id*=xBq|@1H00!bH%_xmqOFSr(V|UR)nk)`pEo`x_SvMRC(}
z7N+z2<j`s8-TFUzoh2`v-(^w^pSHFs)dvzWm9poLqn<YW>{Y(bWGIfMdyCm!lH}1}
zh44q(MH|#^F(tB<OJK@Mal2fr0&Z@bY<eG~4Vnx`Vx=^s(A+kf({e!(zh!cbh;?d1
z(4nl+{Abd5vd1}FMMW7SGmQnD#VL@wqI>gT#Ad88`8#{jpM>)c9*_AhQRsX(Ll`KO
z#Ya|p4E*I}Jn6xi)5=N(X4i?{<wQBuE8D0~nNY!fbJsOvZ&Km#Mn}U;BoPCbycm#2
z4Rvj#TX*l&fvP9hH7|zBqoeE>TW3Xe44HGinku6U89g8O2_93xA!%DrMxq9ezY7)I
zVAcZ=6Zzrft%yq7crW&>X`o!zXWL{(eHfc)CwS9!Z^mWM4YgaEXq1`QY$;*@I~ub;
z&(XPq$QL-hi%Sa`l&|dkWo!s<5<hwHijy!!)nIQiQ48;SeHq>nVgzO8jte>ONl2L(
zth*(ug>`X6g~v6<AhFuDOid!A&b89HFWs8RaY}^0=(`D+WcyNXN~xei?Df1&{F=!1
zZ8q9n%?uV|4t-jVSHW<-(UXj98dx32E<NgI4ozQ_B!2d(prz|hq39Yl{5dEW@Y@jJ
zlS;0&>t_{QER+mU6jH^#-Q|z|Gy@E~DhhMIRYBqJb=y~s$!JiVQY4{Z0lF$&XZB^Q
zV64ofe3!m5Ry&DrZa8NF5g&xoIaO3p^bSRfLg!HZ$#Og4hZb<?fz&3C3^J<N<R%x+
z5OJ$_&E=RG3kcE;**Y~y!iyHX?Cfo_xI3AJ48JWP*Tb5!<Ciklx9Ic_T1n$?X<hx}
zYZkCFs`i7lu7rD659^X0#8LWLf5{{roLDJ;)x%~KaV5g&pIng$&dxgDm~W%6%k9N=
zx>Es9X5L+8*(HbuLYcQ!<1FA-x`l#mjyyKq2x<KAk`G-&8lAV=Sb)`fe%d`BB2K*B
z-}dVXCuXj^)*4v@*gvn!x1l44w>TaL3dOVH<C=D=Ss8$G%tL`zPFc*7xlg*u&V*bh
z)%TN~091*Ew2XdfY}v^0CWQQ@QCWRH$<3OBr^mCeg(Z?0_E58pO?aJFFt)A!gr+(C
zr&j0`lp~J$Op#42Z+_8C3`a%}gqneeMZM&ON-<R8vgxY3`h!-ZnATI*Y6=JJ$AZXH
zB6Kd@aX?9OnRdz~Yw#h1DLm=vZ)!9b#^B#SOLz|~(fWG1+|SvYfSJZ{LT-m3{oURX
zbTM9{DPZ8~oE&5L*10_~!%qOWbx-t0WG~T<s@0x~{cHr3gp?!WR02*7vl1KKmT8X!
z+!E7GjbPhMpHikZAIiFy$K5~mgT`Mk)IO7K2&cm(Eot67__ESl^VaZB8t?P^Z8v@x
zK<Mxmi=UlbD178<Z&ug}P3q?3@wPn%pdTN<v;7b!+BJ|e!tK^*5^4{oZ6E5xXyjZ|
zjy?z8>9=1kvHeZkxqBeqn4}LECZiGvR_rMHz|l43*dN-{qb%_mIeIYI7NR$Co(=Dh
zc)G^7{G+W>#!a_z>w%+e(&?3XR@^vwM&p4HBL=v+%6eba1upCVUR{l2MfR@mzK)(u
zC@&i}Hug^kZg!8jC_1p>x42O8##Uxb`xIi>c3uY@YL;yB^jHzaj=Wb=VZ|{**n1u}
z9XO`SdP-_5E3Wx-joQ_+;rr|fvG*xdID2=ZS~rT`C$cy%@5q5$*-LZmWav5Br>5)a
z5GxL3K0e1s_cf~U;=zDA3hX1b#uHrF(A@dD-rfJW(eJ2C_Ype^MCrJGzp=!IZ1<i0
zCSLI3;z(6?$R};^_?cO~`yM;isWi$x`N)s|Do;f|ir0q8R1J$`*&H~1@Y~=X0RiL_
zO3N<N(gs<zU&%-EInha>*6OmgAbu!ou=F0+g62{-c7bj#^gmK7W|S<1xj`u=!RcDy
zRQ6lpoG=eg8;8EL|1OM|Y@L@)w`;+;<O$MBJTJPpPmogsMNvF&RmGiO3yf16n)wy^
z@q!m0X^dqP(&7)dkJf7f&lR6oI7L8f*(jTZ`{EdBd!BZDpC*hr1n1@)6ToTH6Ix!W
zk{I;u8(C986FR)s2Cqg4B4;71d10(He(AQkA^TnfhO2c~6mJP(*Rd|+)`HDAD`z&I
z+Nl9kS?<rhKM12%glb0_oio1ZFndVT>)KLg14hQ8*n5{$p(9DeS9+PU%@Z2nYyGY=
zyjlzyRatZj-Q@9Gk*iFJv?eS)SDvSth@+QHZv=CN0=`aRKN%6F3Bw6Jw-0@iK$YZe
zxv$uj@O_Hv=Tv4b7>Mi9*hbHXir0dBYeSTgQ)!#;kf#>JJ)W7HPLM%r)#%|J(<EFM
z@3^o2QVU95ZpAEG$RgP@#@N(d1>Xk8N>+GigWcIaXF+>8+!n4J((+OjYvYy#=pqJu
z&FN7<&$spVjc!?{>gavwEg_H2mA6mXbZ<K?k9V$4%qd>eKx?DDgP&`uu*RFsyEjV#
zFZne_n2l)SfyW!ncN%rzdd?Q#wnjy4cQvS257$D6)*|wu5nVXId?JMBwGy6tza?R9
zP7949l!`ng^g;Dam?YO{Wn}-t_bkdx8=uyGs1G=004|rGEk0Nvp?q2ux&>%seD7t2
zyB`f9UT11CWrB?DNf|az{I&6Z?1zGL-o{XU?!b|(CKZgkZ@5e{p!c6W(HS{w0_v*=
zMEd+yF@jlAuy{ZVslPZQrUK01!H?dQtIMkRIl1^>mVp*Jx^+lQy)y^jcVg}H+tu*z
z4^=nrVGZ0ie_^HWI)ME|(o^$LHO!eRY1u!ehI^{@_xb8sK-%SWwLmX5ENa}L-d&`E
zE`c$H$L?FeSw*{jmJ(_xVc~mCNQs2m5$p<71xt|aor@{BrivC^TY85sE8@VL!+fVg
zEa7~Ml%vnI3bx{Rx8flpQkheNeTppMT&IDo%Re$c;>;oIYs+Fz(*5D0220p1bf)0$
zcM@70E_PjUki_#3<SkgMEMfiN*2Zp{GBQnN5pE=k;!Fe6jr~cMU{IT=niHyo$KU+n
z>oyR?eZj-s;;xo3>r$0yAf||NUs*z;I(g8SIF|ic$P#i%?hO}e<k5+v<@arAHuPIi
z5D)9H024dIj5=!~3JjLLUWi~o7oX3G+CFrS<53N!zLQ0Ji*FMuH7m5J_VmLtOcvnQ
zoMo`GA%pC#IT)q)otEU*$=sU<@a0|Pm1S2c)JVBpdGPTxjb*DykF7Sqo}YaFhQs3M
zxjt3-VP%Mx-&py=Gua$cm(44>BE&F(<G<`@54&mCVjJ1KADBU9NBXyq_97TRo%yS`
zw2bz}(|vIFoGH{Vm#Ck#rt8bE=t8@ho91_PPgc5art^`S7Lh+d0E0DrUt3?OH9tNk
z&qm&70-F;%NANU1jvkUR=U}ZhKPdMgQZ3sUo_!)uWFF^1!M9mI4ty#!AG!fQ(npLy
z{6ub%Sqmpt-`bV;+bx}zwR`%D7tsiEuI86zJF%nSO>V=Qu0~o{+oRB=U_)>zDEz*p
z$%<ONlY(t5U9{aDuR|6d8$e!yroNX8GuGCMOzO(Nr2YG|+T$r@0B_u94^1{RqTIC%
zzk{l8X<X%lyKBPrVPUO4G;B8m9zVNz7ddi_M(my7X&%*sg*~69TXy`V*{BKIGsjHQ
z?#X2Sw71j)Pxki|p?w=PDXskUgpp}l@`SUIb(JpkmJ;&QTh?iw$(BCT7N2R1>xAlP
zDP8!j+1Y;~V2#G)DmmhNe~zYmPHOdCiVpl9KQ{H%ca>&el^%7~`Wvl1%s<(RT?Y>B
zUQRA8TcMR&RT6qa7HN0Izg)|Wp~AucVw$!puh3pp56%fWF4LrgcMUydq{3idb(;3%
zFIvRpy)<#7pS1p=kn@k}x%$8Qic3+ie$hJjcWgKruF#bK4%?jLrgM#3>{ZsEzi6+h
zD!Xnvt<lP5{&;@M(uQO|mZj}>D>TUx!rna>e$#Fis#pD$r~6KASAYET722?E^I7@V
ze`xF->YR@nwLm!c(9o60RoeEl%2^IY1|&;xU8gu`LC}r)5_DgqH8=mb-g$}<nJtYw
ztDkCui9yjY<;Xhi$-(K9<>O4)Y0%yr&ZG&sTSvvi3V+jno9*I%c9;blUd`N@v(f+o
zj-SGH9DiunbGQCG$;yWA^BMyNN$Nn_Cw(fp=r7GI*-C=^j2+!MjYCSu)!+yDk5924
z1Bw?o4wW@<;>dM}<|G3(kY0*b*s9NnV*$#}^G~_4K62jRz;#tfV9bnnbz!3a>(NMk
zZa%z{T*zL=t_oG(-iO~$Va5PmDK=&x;1KhbSb-=Nc#eUoX>%;t)%55ZPqqN&vZ{-O
z{3C;d!^S<^05<HtQt?!eO9<be;jZkwN(ObAIn6je4tyaey(WHB7|$nkMw%;=p=68h
z8^cjf+<(re=g?kJ44F9b#Q7x&C`y_Im+74QA)71ak?tnk9w2bP{t5}6u&|pwS?5Jw
z4w;5o6A9d_BXHyBZW62?+vvAeA)o?dcdlQM6jC&TSEqDIz$dKIU~)nLrK;P*v-@Sx
zpzTWhf;tHr1*YT3LxSj?hgTbFWYKp{;p|%=!MCAM#*c2o=;5{5OO`-HiQ7S&0#A_O
zQ|8i9>OT<-=E?2ec|{)0epue*e?kJOg=3mkU1C_KVG_M2p@>JMCaqem$ROH#JHDt!
z9C<!`C9XbJLg&2C%|GVJpuCAwVez3P-bvkAOpYO8i;w%U$zBzRu2A!O|6LkI=Hk-D
zcB<g_9j1@?r&WR3lCAcuyetL?tFD%7(0$`xzwka&b+|R2O1XAW4w<?GTAmX$aCr6a
z>y&W~_*mArZ|*J;kDn*#DSy+%fY{??z9U-TrE8pij!gmk?&n{c8P~%4dPbgVdcM-=
zxo~>KUlD6Y7ng;bwNY|-wr+8d0uNru4tNbH;YQ=sujnueW>d<XZJl&LCSIOF#fXFq
z#E3INqEu`$EzL1r)`kBP8WP8^k+JwXIqBpTD)#MC=Uk%a-qTc@<I{BhvQRj;gR`58
zq}J17wdID;u-|dld1*D|XX}0&@ra7oRjVFm-!X=z{ktu6)zz`0ubQ}Vnu>=S`V=ef
znZh4Q)OF(3z??s~M%%_I_&4aXi&e8ZY<GW{nSD<K8Gf3+WL?unr4K{ek*@#}cvIS?
z#Wb-#>1^y&j}|sY>Tfz<ZvoxQ&94aBnmEXqI(EB318q2ajvqX23D!z~^8Ej3;I#z3
zyh}l<=wGP*cZ;YM^u?~U`=8T5rM`@ZLm!pVA@!cpg(NGesL@aBtWrnKY#E-TCJMMQ
z^r8Lhh!s3xJYOD^r-p2%>P)m8Sqv`qT;klYf&;AYF3H)e;unMQ$bH%psO?VveeahQ
ztngg=lJSI$aOUYs{XHQRysT!G^}-557qtb-Wk~p%@69f|R&I2vv?&R@Vg+nmA#W1h
zmGF^Yu%X~(M*M6wY@eZS1^)v80RR6KnRh(bUmM2lz4y)@UwiL9w~^AYN<}g%{D=@C
zBeaZCMk16wqbQ-M&&f!(mc6o9k-fe=o<Gm|>)h8l_kCUO*YTG0NZ*PUN8{^3mVWR4
z;n!L}=WHNDF!h=8%&8DX>901|g9)v8t%2u~ps67Q6#t6poDfD%w$J1ol}0fq&SAx(
z76a&6jk;`VEQDBFlfjz)A9kllM#{|803wv4x%4ObQ129nx!~6g?DTD|q`oEqe>^lE
z-f<%XmwJU?dAnG6HXdzy48Y^6=Ut5t9BAi^%rlX#eQe<3NxRWx3_LsBk40>-qLNz}
z3l9w`+%0={SGnLY1UtO=JUGaNbW1|&EmKIrcjwxvGq^tVs{aiFeL7TG;=XXHl@#QP
z=69k-^&tIt*WVEaDnvwS_gX)Y!a1e^`ZsiX5c1tyJJN&<ai4M>Ee|GzKTLy91NC)b
z^KoFkeG?I%77tjmIz$RO>B%iFfjXe4teLd<egiK}pQXP2mIN>}R;}$1+Q3FqAIWUJ
zjMx0St3og$0dlssj@K00kp9S4<SOet?)I#DDZX?cBXjJQqPNz9x~W&{v(aOClJVJd
zwX=Jec3kbP)R&r2yvu(9W`E(^-(tQ$H{QbrOe8!usWriUX6bTOC&K-DJ@)+@iP)HC
zvvQl82Eai6P_tnv*5#J_GTw)XO^4AbG<T^(-qp>ukc~F%J}X;Y?MWhL>{&Tds;3TW
zSFi3a8}?$+jjh9PZHU-4zjEBLR1K<ft|@sWjbi)UiPASxiP)#PegPX%H8>Y*Ol$jU
z0@Er8Uyo$j!+thC;%G@zg*`KmFDhX(*nK{QXBr>(u=`!yl{a`*!6HSd*qV0%8_Z|A
z@-b^4%luh*&M-{{I4833>W7Qi;_V#wY6lWX)$11$5K)0Va&3QFzkgUK2jAhp^rVm;
zVpO|YtPKBbhw|<StY9)kKhkU6q%dJNdcIyu8BT_I*-C#|#lV@S{v0BMAD5^r?zSjF
zsk4XKy8k-nw{wn%s+AnN9(eiaIx2zj-3f<mwN1=*m2;6}lL8vDsuh2)D1x*-ck)Y$
zZES#;DC25M1y73_@BXK#2)PBVde;_qFj1ZB8nU0M;d-<)v%aqate()FQU6E8MxBg5
z3_H=nRgx;LEL<L<WI;=cfdmx%P9L>Ypa&^a1<wTzc}RAi{}ruD3i>qvk>$%U!nBuN
zz$0Hd@DKX280JF;o64|!`W!PDv(AOH56VLPL#GRaU&&!KlyEFzhy{F%H9DouWnpXF
z2aDCCgxK>zq$zT2K#+Q4mEBGNX*vF)%uXuUz9G#spUMuT6K=v0=LtZxQtv)`j|PZz
zT`heCPT&-Do8MlN0Tvsrp<YKiu-!PK|8<xP9%y7ex}72e{^PN_9nK68WV2!`{+<WU
zzoC5f%|ZscJ>pC2lbOIJnqursEgwX%dR$rImw{k|f;!Dm7N}qoRnMLifU)1ld(C&H
z;l2Ler`E5mu={BL7`MqGcq>)nTD>X__5~V~VM^?9(qO|*Zbldw|N0I4(#SxVS)aR1
zB?rXtjLvBu5rw_`H-DJw%E0Z!=zn1sxZuspQ<+8|#9)?;`}>1<8JO3-qC+jp16qTR
zZnT<6z#|rV8$K2SIPT_hEz|MAvefLSTeFhTpLlHPQtg300;k-FTmoP}5ur?;DGkqL
zn+i{-%YsxSr>vog5FCB{5r5@E0H&{ZEU-#B`1|tb;NA&gNTXA8)zOlJfH$5wB`gZ?
zfQ(FC`kn~zDb>1OXH)?HR(fi>H;N$dJ@RR*O%y6c3v=cN6~SFtpy*JS5=cpYe6=bp
z4!cACbk6NcARD+S&#<Hn8oAMxPeUbu(nc!uOu8~$auAX<(oqG6Xr)#4VM&lg0h5DP
zDv%+;H!}1}4Zetu4ovAugT|kYwv=fV7~&%)@to9vEsX1vZ-NYTxH%`rTBrh8at;1s
z)Pk1T8_%wF6Ckj%biDnJDzw#}IjZ?b8@7e7mpSjtLUnjQoC#Eg0@~(c=TTj-9BJh@
zAeV=5?^JhcDOEU1TOE<tuMbhxGz~31@*p10n9=e;1*C{1U7c+htgvzp*&g)4rtwED
z&wOQQKY5;4@W;XUG3r)LZC3zq_xR!?!Afv=<AE{hO9SZJnZ05(ssN!`@kbLR6+k%`
zTRh=n2*HByM4Ac|Kr56tnSO%+!%25Cvi1xig*)m>wU`2!{j|trh?0Vo*)#bSUPkaX
zF6G<8S$P<;bGA*`6$9eXOaGiIBOrvd=^sBT2mA@apM?X2!7r%d4SA0dSUQi0ni2_c
zMNXUQoID@+3|$~g?=pf>&$uYKBLm|u>Gm-*?9lv}N@ujt2nvOoO_C?1Kp0Q<xDv?#
zhg<D_o^mz<`h-(*8*-B1w1hRa7Lb8JYTbSly%8vyR{A}26$gQM262u%tJsk@(R1|K
zhOkp`KB(q}D8!gCd3JdAW9{Z*mM7#5;Xx3Ezrlboq*|6KoIUp)A8vGcu~cpVV!eWl
z^rk}4kZB-stY{9;wRo`@scHb!*Dt!KknjW7e%3FUr4{^(`rdwh1waIe(2L?pZrIbz
zw_~W;#A&6YHlAn#s4Y`n+$VCtZ$}fZTFPDAr+XwUE(n9_-zTgWPqM*kd{R~`-yY6k
z#pPffdl+2qT!_mrV218>Ub{)XeSAyfmZN2%K2%m((|3u}gLAU>-POE(+)QJD>1V4R
zI412sI?F^2c@e(qB9Z&}@RCVY*M=@+?dOQuIgkUolGbKHyN_GRc`}m9>B6$M?Bz;U
z60mvF%d&K84|i`GiQ9A40rA7)`(O07vF~kR%EMkn+_I+f<e8V+Fu(~x-*#59{=-jy
zUc9@Dmy_nD#;j?9d`Y*Jw&fD`!sE#5PTCGWXU6NPV4?*>g3NulF3ez0(s(j2*Kgy$
zywhBMrE4DeuwN-R<!>zO4@%&p*v3s-i$5RQ(ttwo=BX^oUsyIFB~`+C3y)#nX|J}`
zfOXO>H~r~4Of>gmR?_??KH-p)aQ3r0bluT$Os{)@o8CFhzn{8^TRCiQRm-VE#7k}Q
zLwXIkzO5Pm@QqDeL*#c$VY(X7{4srQ81Nncm3zf|Hgpp|l_HzA&Y}iP`5nhNS^IHq
z;~~*=6`Oddf!ME`(W*dA_>|caIf{Reu#4p2+rmBb#)p}yRDo2aucyCx9A9z_nO%9k
zg&St5xu@M%fpx9^t=6F_{1oS0>No#wTx*qik(^!y+_GPBcz&D3)3dMamV52s$+8zM
z)Dx8<N~$08D__9p6iY_?(suE&OXfv~4k^R^u3M=E(TjLi&W8WkE)l0D$up>Wr34bI
zg|oL+{^1V&&Na<X_HpC8!3C=ZO3<8B-n*W^jMI-$36s1fLHmYbgGJ?vaOKX3sHoH`
zj=fh6`S6|;Sv3_)R!k`X=VOoNwyHH;z?ZSne3T4%o_fK-ebCRjre0t3E^gqNC$6Ce
zX$sW$37`JsA`dQ17WJnExA3`ReP&maC{eN^&|G>W2d48U2JY@`<H>l2%#<`WdQk7D
zS4t@d;Q=>a6L)uUrP#Bwa#J)&Va~`_z)2RC8nB20$$i|^AY(74iw*_zi`-*tB*6X2
zl&X$TB&f&CcBOEh0Ueb%$;7BafC@=b>vVE5RR1kG<(@7xI(u4zrLa&2dS>cB#9kps
zi5=9(^u}1w$~p1T92pttcbKwzK0$#rA_e|FJ;H{5Z2$9{e<uxv6eZ7=?^B_Q*X?J_
zTiDU_s@&l;vjd;OIkG0qXwc>GzAQ3dPV`$=`47XI6zsT!O>Sd!h(y@Kz}b)+xzwHD
zA1IcBLsac!^A{OV)1;iSx-Ktro+5l*_K|`nuE!-QB}|ACzfUdY$d8KbC*Gx>lmazs
zWJ;F8g7C$?z?Qdyh`S&r^MSq;G=`*fimkIECas4zR0V_)8+G8Lxua5`p{`B%c%2<Z
zTbn(Y3=l!K*6-x6dP#vb_eZ}rW={0ubE0YFA5k<SLy$OKEd`oWY2EUjT!@R6Vp%v;
z9Id~LD!MNv4SU10G!buj(B;$wDN0F6^iwZoD7H=-N?$mBp{n6So#pwtiBnQ2SA6S!
z{9_rACK>tQH!FaSk9Aru)ySa9Gm&1$lL+uK@#LFN`iIcz6!Ns!S+dAV+B{^aUlvwe
zRu8!k2&3g3XJSyiJYsPCbmY0KJT#A9zAYmoiu&^nmfzl1L^)B@vPFi9@UJ^6kNdtD
zI<<Cokolbwl9&smQGTxkdtQ0BWf#R!s7lM$uXJT3_9))Bho}sr{Vn>kj*_Tk@e-x7
zw+f;P_`?+CtqKehZ@2FLkU~@X?dnz%s;K5=NM8esI&ckKC#oCDAjP=zzHa5J$Sp<6
zxpqJU7(S8DH0Kb|V;ZRvO<FbN86m3su~iEmf0a!P`74Wl_Ls9vi>M*o_fvR#j}AC|
zS<;T;mPeFfjRvC2s>uC&&R*1t9=vU3dYH$qfcz5nye)lI(eR+hZ&zjvO7n&IYI_vW
z@So1Gu51<5&6Z(U{}3R#%sjNp=Aiz{57obKE2GfgF8YCC2Ee;ER^}eBh$OCG9TDVL
zLOgHt@(Rxyf-&Cda_OcbvNm?~y0RpP)|z5WUFeM9&fjdMyUdEn-Sm1HZY_gKn93u5
zJ~4tJ3jd&s)(WUNy~pbPLkUzO96wsSYy_soWf$2j<Wcwc@|2IYB8YAzEv`|_7+gHm
z+5S??p&Lh{c0O?kApPa+O#^~4)TXeD7e*3LU7Vy>fHWskd)rGar85Q{f34Ke0cn(R
zhi6s1ff3miwOm_kF#<J%It~LCDdZ<Op4(ePhHh6KT6pDS1XaHNU&2)+kSr}{sY2E=
z9-+jj=|O1(Cgt0OJ*ULbF=Jox9%2*z(RSye`a?sYH|^Q<^$<ZKT>n|nsE=cUPa}_M
z&>Mo~H{#zs`9p}4LbEu=e+5hPUYt(7ZvYjt5<jd9_|ZgoQ>oFyHntjaspc`M0f?$e
zTK_ZWLEI-~x}4=mpuXXjp6xAw{M-G5#}zoy(GwR8-qMr7=OZHdJG&S(_&gf$Ghsto
zcl9y?4wJ*@@bALSlo%A+iD7PP%!n>6ls#{b9A4T#AEf6w43C+fwai-4A+0lidkD%D
z;HdDbi$zTz^zNUMcbcR`g&&^(Sd^!L&Ldyk-rMLM<n3t6oGDV|%(o#av`G#o66r>H
zQMzz%+(wi#bN3(zlu)E)lf$ssT$}~c0aX?=tXy>+cRSw@8?Q$W46#q-Wk_^jwa_hh
zIA95P0zOZY?_}_X-0N!kQEh19GS9N9n!?YEpL+-%WN=}KH|Wq)EtvcMjh#<>0H+4@
zHH?i6e7leCs?KY|*~*fx-K|DkZ}@VAd<!WgoKvT9H_-&1x+WG`i4x3mb2jgMGAU$d
zF5h-6(10_w(UIYiU0AN2<m!G1DR_5p-DzOd00nD@-%&<`824$JXV#&lFj>{6ZE;f_
zo>=s%{O3Q8ZGY3t-grg|b=qo~&9iE-eCW<}oy`m;_n_dd(9Z)NcmGe9)Ikm6K0o_F
zH@1Kk(EoOCkRyX_tJd|dURCIDl(*}RU&3@u3M%Sy$zbgzsTTh^RrugHakDOE8LK?%
zruXMSpUqR}6<YdKAp4T@rq`oYELpUEO=6uK^s1$tIvrKuX*5sVbkI7+p?*2t^BV;S
zcqoU8Eht0bJ6VS;=S?i|_WkjtPD-%MU3K^ptPDhZis|Rp+t^Ba*aF)M6$GmDI^xXA
zP_*3lJj8Mr6E)WlzM)40JMSjG3l=JY>2T5ec!xbqV38X3OKG95Y@u_@SP5*OEC&z`
zNuVfi+jG>E9*Ea%uFkb70>f7FO&e!Ycv7kQE{Tm1);P~j-Q-n-J`Xqi+cPq7P}NVG
zrDF!hr6es*Zv~hMml?4gCx;}z!}D9IEO5EWIpgFvdGP89y}D#f373yWyFO@Tg@_K_
zg>U-uKykxLJnb_TaEo7B+2vt}Ybw=WLJ#-|>!A33!;S_#|DHJx_c&m^sphk_o*a<3
zTl_2Ip@R`lRabj9E@1GXw@B=g1=sYuX^C6(AYrV~>{-VRl@GaIy!4ZWyIO|~gUOg+
zY7qUoo6HLhZT82{6J()wm$vOHKMVYOYP?dA$PdXjQDd1a1b7}C8OM5x6@psV50zC5
zLiz>oKNH^xAdxF|Z$6m~js<s4b5aO{k05qvs)Ya){p%?uM0Tj=u8c`F5CN;v9j@=g
z1bDs85%MpL6PTwwo(m<3g4p0f*>N^mXwYwbp(xA^DVOeMI`4_We>|4aSKVYGL3LsD
z#Rv~jdTahp3Xy=9v!=BzGqOM?luROs^TDRz#iuk(QV{lH*5G=Q9L#Jf{iekQpkTsY
zkF87^&YbMH)!`=(360Kc{3AlJ6ry0%U{3(u-UmNpA1XjRPaMYeSQsWvtV@bH<N#M~
zKIJi{2s=B?w0pH8;Ft5sJ*Gt-lIl&lS3WAi1D*@Pfg7TbeArk|IzSN~l$oELdZi3%
zWUWTCy5it2<eD5GdB9&DeldfM2k&{zJ)!=-1eCPK{0KBuhAWrbM9aw4;5GHJqt|{&
z!m<1AcF_~cu)94vIpL}fb68N5ihwlayxKcq<g5bcXl#D#FKNIgQHM(3Rt6HKFVc6`
zsDN#}_z9a7Ezl$655B!efL1PMt0yBWU_Ynebj3yovd7g#my%?mreoyV?pGD)cYex9
zlsWLbwwUDZ2ssFzE26i&t^%>8Gg;^M^x<pxl*Jj4hkp72yYyaV_`uCy^ZqLao|?sn
zHonS3?-0GK^R5yETq=r@`UtQvYY_Z|LjjcN%`6W$C_?|m^m7uo4dBtB_sMxd1ql49
z)n+a(57~xqNuJ3WLI4$Gr_7i<*jM@nKUN~ZPL9}j<|;#=Nc$>f=p+xJV>#Jgln3`{
zNSZMwXau*cWSaJ#%Rw}SZ(GS{F(|BZU%cgD1P`M6*}gxQg?mTd4BWaS45KX<Ej>bv
zU<z9c`tLsiu*7Yaa<=gSUu1?IOMnq@I$t1RqLzVkhqGw@?r{K*tB0n+X(K4p>HA5%
zBLyl<(b=|P%+N9V+3XXi5%?8^YQCM709`@n*g7LBFe`DLFQ_+!S{;fCGedFMy*aNl
z@NO5&(0b-Td&v;0@+nLOl11UwlPwx?%0;Z4ozy2{%>Yiu`5<gb7#tn6((a1?z=Fzj
z&N3Y6<I!{RJwuTYl>J%ncJgn>y~<)W7w8PY?Dg)Q@&taczR&LP*m44&sWuEKN&sL=
zQmT58#{(beI!G?{{lRlTn2(F{19&u^<~%&j38(kQRuT=C@oz@K@~2K<Al=w(qJM!M
zTAiHIRNPnbeaFyxewV{=h)BXMNzMu@@gcTr*=zWZKj!btBK6_b%N1dnPmDmHt#$s7
z@H(DNyw(|6rU&A&lEn)Hv@m@kNI8{t9q%5sSNuGx3nUwfuZk{EfkEJLEv2+IJh$~m
zJMiejt(Db0SuJwdUyFVyJG6=`POXuAIjaLrQSGXiuaZETdT=7$zZHC~tuJ^tO&fwn
z%nWZ0?O^h96FOY;%Xq^$>r&*j7OX#5s+jWMz{*34bEF3T;b&HJGwHRpK(;EC%`s^O
zduU@B<kY@|JDmElq7bJEPhXNTK9ya<rf8!-yiQugV{cc?WGrZay_NRa0Gl}sCk%R<
zR{X(BbF+mx%rqdVjH%&2-bpO^=j*Rs`}25@yE2Jsg*wPF7f)UYAH~iKg#EpCYYq>V
zx@JOtNF5HZMUGZ4_hQ6Cs{FsIv-nKI-wRBS4ty{m#@>GH8#b@|<K9`(89X+R{hltV
z8fcj<{8q7P!fHcVh5tJ~jYkmQu{i~*LVqH2MC_Mp?AzF}PU?~=TxW<U%VtFd&NE~&
zuANN6y!OI#;!LLS-`u*M<Oh9OA>yO%C0K}uj+16`^G@Nf9~9POtI9B*l{CFrQ-k-H
za!O{2PT`rFLs82&l_4jHjN~(UBkm}0gX6@dDLjiJt&fyk8FY{3I+DF;#mhQRe)H^^
z!nsnLk@aIG81JONBr)BE2b$PQS4K?Z+Y5#yy+TS5mGZdsM&A#7a1Ui_JI&yQj|e}f
zFDZhbK*@6T+wOyP$m{$5v$&6lPMq8$1z1%sJoo5!A8t3;zfxW|hyNW;$+X4gf$U~G
zd#>dm{>hRw*y-p3emr*mnB}@0EX>@bnU@{Gr42q0byNMtg;+=5FRL8P-F%k9amL?x
zCZ^!GOS**b@(<{W-;jmphl<HElE(0=s-LeEME>E481B_kOMt;l`x7iG6Zqii`h1zo
z%lNy5sDdF{0<6q-Q1H)8;@fzjQb5ZJ{&pkU#?Vd%bPlhZme)?>CEPXdXl>W<5EJap
zzqisb;O;=2s+h&y7h}PQa|35wTriztk%ok;vvCyN^Z4pvDM#Y|CQh$cNg?7Z1;jtR
zY0o77;;~7uHsXbL@TZSLB#Qebf#)hyWz(4@e1@WiIB|oB*Bxnjo^VtWzR|MG2v+>V
zg+zRxR8f*3F}~9UYwsoCQk5pVj@k;|&Ldu%dz}<%bsAJ|D@y>aH>H19?<$^B?D0W>
zk{m7FDC_QdEe;vEr>AD}*6~;d$IW3xfpjNNKlrIC4)Z^53(aP1;%O3*tBl1|$n#Fd
z(NmwqU?_h2NJi^6e*21IgnA<l`a%fEtuhw_zAUTslL|zfo%-=L3vPO3F*)p8Fe3`A
zBJl!c?fdwZ%R5}{d5lOTxOeDhv?!c>cg2<FJSkf8@1Z)T%YszAgDb_<M1h!J^jhpM
z87k^aUEOM8Mg7x_h9xs1Fn5GqalC{A#l1Rm=~4(g+8Y0o*H|b5lNSvoEK&|QUHMfj
zpB*P!|01f)<}U)Q|1}9TR?whbA4<O|cW$K5V$~IEB?5E<Ej0^N^e97{qdB{T7iDw&
zd;bDNV9YFhyEc&#g(Q)`QIrrs!e7a6N*jrQ)61xQ4J8&-N#@0Qs#geIo1#?7x+ntM
zl*4~j-m@Zm`U1Xp6T(O$j;cobi3sG|-G7(h%8t@yZaS5RiXzA0_`J+{5kNJ14vdF6
zQDfyFcQ!3?bR(}Tr`}BzTIYKAH85`Uxl33@kV6s)<nWYebBY0_mqD$qCoi%;(cr+t
zDve?&WWVRGi9rQ<rt`5De)Q5!?&X3U0ZrEan9pRF0N#0;GPZL<h@K?<McHLJq^I`m
zQ)!?i%;m&%3`Gkgx|I{1!mkw&ReVF!rh+t-1($zv*%v`eXFI=B+)+Xfyre8!K!Ake
zyXM|8V#wGdnxm&w8SUATzizLVgMnjL9cZK_&?Vnj!kL{aXySd>zIlcsq&@zySMfs<
z$t6t-Hx8*Hq{VZ`HB=cS*hM<!Bc+jRaqLo1s~XZJ{<Zkvq6#r`=DuP&1Qa|xi?PS3
zqnW3T&nlwTp}jxeSA0wsdFQ`hc}1&%jx{k-_>F1;MhH}Wb6p-0JC>W=bTp72e`3lh
zM;)NZGWnM>q<|!>GHUi2HBcf|U*?4^J-C_(kJ@OJ(0XILPTNg&#N(Y{{`%=b-iQgj
z`R29~vR2gK=nqswe!m5<*UScB^|PbG=erWJ=+`NE%6M>o{Usu%X9%M&Zm=F-Q9_3N
zJCdb_%E)}kIAP7m2o!7k_pbd`LR|01bSw^dS|^5uCy(D4Dklu|@1-fBj=ID2LA3|m
zO=rAtt>$3g#<pfqR0$<*neUUWh$9|`i~R+Mj)2paw8NWq1@yd*He6d-7)^~<2yvJm
zfyuKRpZLxIW<Z(0%A=?@2e}d}Zp08#we6{Q1hN*^9CUnT(HTP@p)h(T6p&%<>_mD5
zcyC>Ap>dEwAG*3fzpLBBsao_zjkAn_?9<hz&jcwX-aEo{cA^`n-VgioQ^FXUu>6+t
zDRIQ+ecga%;Sa`fefh9fiV+k(f68<=OBAsS+KVrT?_)>Cef%v*j3BGnL$=3781d$8
zUw4(Hf}W-ZN{=gsFu<<1TofUIl0x<rl@{orE!#a>zu5rV8k7GU_uxTG@sRS!nhCNd
z-ENbq7=ZEHXN}CyIMDv8hP}BJ3p@()8K}zy2)|aAxJ1v2Nbdc+%1+M;^pB};C3683
zT3%<SjH5?0Z+<&>d$B^o8MVuOQW!k(bDKMpN{NieW!||Zv%>s(_?VyaVbB?&WGz%7
zK}X}plp3F~!iOtqPn}Hl;R%2K%f*~^JSIGO#WsKy<_4mI%CG6cts7B@_v1VsG=Ewq
z@&qeLZaUeW&C~^<U0#=VvR+*KsQGDXepaCHkQRa=9Vj6g^|Gui!xG#z$vpqCfP8_g
zx|g^P3`azdje8AYC-#2~-22J`r#(iy_WZOV)#@!lnrRN(*!ksCS;hhmZ?D+NbZ9}W
z-!(=7(PeD4CM4x(5eo?2W%n^v)B>@368ebG>zGm;k-4CP1tx@NN_&$vLHbFz<HOBu
zOt*@=JN+jM=)Eim^ZfsRv8;xwN#7n;{bJ*pKOHMbS>L~39jXD`JI$De4k`Q(00960
z6qk26*Wdrf?Unhqx3|5$hb_HtTWK08e9CBwq%@I85*evfD)rSyk`XdqFCrri4TNNe
z3L#0x&+p%JJ+E_}bDwkFkNdWcXArucVwlVE<c*m#!IJ>dL*+j>U}lnR7FI5X%a=zV
zK8Q3y@1KoTn-aN@aB}UsVKWMn-#)!1$7=$vYOl6f1s;$!C!Bd-Q!rT~wYfXp7$e-f
zc5J!Ni#tzW<~oOq<MGk!7kLegQKNN3)!mRE#xs?7)a)d{^`&01qLB%Gu<N9j3E<LY
zZFUI_N&N5X*G5J#6BnH=9*}DVvFgT%-VLf0HY{mP7fLf>Yu|MZKZNkR>X(GQg*5aO
zmNsNGGT_}(vLtsy1U=Lt$IC%7m}KqXa6ioecS#F{KVKBQ-0bt>6|&f-q&pMfzyQx9
z)~5G2#UN^&DQKcCkL?a?JOV@+=$L%>n)ez7VeYpNY<#MKN|GtWIY@`Z5&KEaJK`|P
z8UCB%se}l}X)B>xI+%X;HRmcNV5xIrB1lLD3s&p5?#iQMb%J)9|A-`#Yghc|y`X|z
zm*yU!d&~2&93jP8(lD-1u#){p#k07hG^Iy$C?^L^uRkt>ZEr6rb#bd<P+r;URXH7^
zF-03oyJd0duvBuGf;v)feZ0KAn+~Z1tL(M6$YatjU(C!}1Hu&x8_X!nI?TDShYl)0
zu<m7e|4vQRTvr({*}_2XSis!q870(lErcgt)WW@MrtS8H418C$KVqn$0#;s??1>s}
z_)~;KjMSKrj#3ypuzc?1hI5CN#&ode;P{%XM@$UlI(F<Dq+)*e2fhVSJw&*s%AIvG
zhN*aP{p$Csc%{e|o};dhse(4^-3!K8lgab5wOS26w|KvHQVl@&m3ry)$^=6hhdLae
zs$)Q)CMkl=5aZ7j!ejDHQG23#Vf9T7%%AX%`&D9yIDWsp%p5ap^{v}37^8{dbcJ7m
zEF<V{GMF@YZVqpQv=UoyE#&OYd$Bdy2ol9UoCWO`;An{{v{lyz|DFGiE!{A}H!_7g
zjl&9=>K8M$+O?4+`8`T>rx7yZf{is8D^Vyfww3ds4$8%Utn}_P#6qF-zcycMY@R!{
zB>Phb&hf`peZ>v2;e~H?@Yz*ZqGVU8JLrNuL?qSz)yJNmw$lGHS;%xdb~gQpE?zwI
zf1Hq^hYe005~>@3@|15&ohNni(kjPfaX|+UCbVM=N#Ok2yz~?wUHn(>6~Dnq8^>Hl
zGb5C3z#){l_PU5JLS3Jh_FHLU{-#&Uc%TjTpWAWU?wSs`(-ty=80xrFyhhdWe>Pa?
zWxSQ0*M^{)V9Ov?6^rh@25L1nP+D4B-D;(ctD6_rU6E12H^qzZx!>4erBwZh>VH~j
zy5pdI%uxYaJ63Pfduf9Qj*-VUE&rQHzc;RRS7q@1r~ay)xi*;g{mhi|(txV4$VGK?
zN$_^$^bN<@pd;Bu)Y?WJGOsQ)?>3^~U;m0rN^5OUYBcS)S49nMFAefP@QJ`;j?>|Y
zfDHme+KYPTsrV$Q|9NAm0LE+jD(shasH$h*7SO2zsns4|lrQn1OJQgvI|P_G{#Zft
zlrmNv8PO`-&57o4rs7#Spj)>!v)M-xgv`#lx^6bOl#M_863fD<saelDS9y5z70EvT
zu)umeX`H*QWfdmAsQ>x3Ll)NY)suq1=2&Y_k1gI+ScStCKhoY_k%s(Rn?v`fXIa;8
z{w`U!#~K}%hFgFBkVH`*o0lB%hm{yrFMFYQB`7t``hhzouqA{)HGuhtm6}*T<<7kl
z-8!4)Zn29)Jfo%IsM#Nu=K1kz>n&DDN+|!ex>^jsBD(}qivF-lwn{Zs=2=4FmhbT6
zJED-#cqqxdGRu;0Dea~5TVneY_uacUh~UdZMuFDbzpR+cdL7qyTi}UTeWbuuAsGHz
zDzMn_kM(__?8TZUbF|zUsac~W2&r60ED0{K0w>*EZRqCMeyli{_p1PwQdT%!U|V8+
zqQ{mb+%UtNWZo*-Hh$PKLtatS*s%R&v7Moy84i!V=MLfIM``ngBBST*AnpjsGESM|
z{^&t&ML#~+AkIDX4+ms5ZW-O2HNm32^`6k5yx@({zL&L{3#PSCz8*Vlf>_H@jfH!>
zXy|@>Q}rn~_K9p$ct2x|lbd=XZ^ZM$qPaG_%a9jcS%0FQM;Jq*wcQ}%A}_LR!*z{o
z`4F4+$!;~TG1|Z6hA7l6uUp<Y{`;T+w6va@-AHGG=Y0j!Re=v||C4y;U@ZuTmEHC2
zx=frfkpJU&l@C$Tr?jtV2&4DPNhO0?2CllaojhvJ54O#Pzt>BPqSAx4x5b}<bg#>~
zPv`leu-~#O%Rmf~8`rz=^D@xInoblO6hO+_Tmv^x3g}ldqBWk<v2nKj&cd%1IPI5r
zV&Sql+{n(#Gk$aoxf{o*stX}Pr66YYcL}8Lo_d}kL&xN&Hvz#B!q~Gn+oEra6fPdP
zpD^4?!)d*HFSzHI-`7=oeNc}y{C($T_;1p1rEsZ6^}Q&z*k}2lI4z6%9OtgQeKZ6R
zjK`k;&*O`JIw$SqaU{?8e-G?vpdJnm41G>Pu+o_;#Z*P?*dVs`s|F3)mfKq#--)Bi
z%+EtySsB&`ODg@vX^5iVzmU5ifpy*y)uNfpoEj3k>?cIScH(ryUOOp7rN;i=UqQvn
zwF?$BNg4v18b)-oq_N6(VV~2eD#9uT{yFK>@W*i>W}loa9&np4)@!Qcz<+)f4(>EC
z(-!>p<;p>(TskN5fCfZIMOO?Z({OL_W7&!=3TWkfzV&#WCX)0f-Y<Ni!6q!3w?sh+
z2K${p-cr@ZTDEnu`|ar1kXc!|>aQ}$*+&JUu{to8&`Xf0rXwOxPqOp33OH{_aaIoK
zLib~Rd)_kFT7sS2@6A$ims!;2xk?|hf(fZrE0~D0Rz5AnsRk3*nLYOB4B)@WrMaz>
ziD#{4@$nROd|DjmxKd$=VY%m?q7BA)lK-iqM@<7!q^v6ajS+r4U?#@5m>~FzNvR%F
z6Q9h<@>5%v->F^cU&xFpl<q9rG+JqaO8f6g$rBpd1%f>cjLp$aE9%^Du8pVuqH}Zo
zG-y4PFMSqgfwYEkb2~L1=uUh&F*8AfobXK7(P2xdrsoR^&gkHcXnv&Sdm4O$x@R}L
zuEf0nt*`sDb@5?ZS+gvb21D@0^_E-X)P^=GJ4-#Nte*O8#Y@A8Pbconv!MPi&S~P7
z9wbH_3?qsS@%NTc)E6djJJYW8U8^2qHfh_KavLDxbBG<|6`;M-?0!<G9^TBWTwvqZ
z16}x|`0foh$g-&G+?%V1jQ=z)uY9Ksk)7+Ex+-iCzr}OIfz^88ce|#{3f9C>$e28*
zm@TTjHWo(}>0-6YcIwEK8hl$`3&*dqMUTY0O4=_SytJNTC?BK3e6{9D@4dG8-6=1T
z!KDM~#KFou86^a~^6tO7-xlvOw*34%t%c|^?vov-WU<)T{leA97T(#O+#4G;p&&2J
zUt%M<%n3@^Iul#CKM;LC6|aGpkGFqm3=)HR!5g)rc^k-lI-W+iQpZOlH}xbLL0kxO
zihf^ggRO;mteGKI<bSzll<vfX=f2D>9RW57-Q=&3l14@A`s=UQ0@xucr^Z>vZv&r-
z*Sk;Jso+wyTKbL3Io9bObu2srzRT^iZkSiZEB~?e=Uk^**S#dtUpWGb-4A|@C&|NW
zvAl`Bc#L&D=z~+m3l>V+4i-}(i&4uF)zcflu`;|~Wy<_r1rAXGxgcq2WHBbQc@_Iu
zoQVwiJfl_k+gX<pB(;3cYfWn2@n2Z(D&K9!mU)z>aaS#Nl{mJwob6ls@tJjUZRhLO
zdn<9<=I<}TR59%2c|9fA(asXG9pDiBW`(8U{5#14qR^ASaQ(}N&#daBs)xq)t&lY!
za-nOh5IlaCg{y^jv8a{nY7359qUuQ0Va9g>%qq&dtT5<dDYls;?W(tcsu*>@dmSG>
zKc|_e-sxkdupcSlR<J;jTc@ko01wnOLPl;!4YCGjZ@i8?Y>sUH@t<6F+_-1xz)Q;+
zW@T}f(2GBqA=c04Wc3$LsM~+$XqNoJ8WbLvN-;IVNW|j$i6<Q3*Y6SkR5;E`d(YfC
zcGDDf*;O|Ji`n6_!|s25RlitaS2?0f_)Q^{yy>6I=rZq3moi_LOtIo0@$YRpZi2Sr
zvp!2}*bsZXFOakLH>)g8)K7EF7;M*Xho?MTVr^as^H??Thh=lq*7NQzW9)J3Xh`5$
zV%dImoKlsWW3`{ERJZPDf+}v(H<7)_x)ixx%W}^=>xjz`ITXM|K(F+Vm<x+6udJ$l
zjV+5TV@d5}*M}Ks3{hHH{cMp{y#Cc=pT}$vTl_}%3SIW4-vUM7q?cG8FOJw$b8?{h
zgyS2{MLMGNiU)@amRNRykE>GlbHX>=HA^6cj>MD)tBvj0P<QOp^XLgKTvK$FkyNK+
z@K5wYM*|xUPTUqrIM0LF7l)7gRMODWvQ{Y|kR5+Mzf%3+z=yGv6GMw$G#uaVa7J32
z1Fe_GxvP`~AUu&Q;5281u%g)RR1QvLJoK39RTKnO{^G|!PDY@GR{9mrapKyhGtXDp
z3u9+85)yA2qG;@NPOca?R*wd0D7lD&?_%@QYwU)o@~F@F<;(-8H!FqQ&Wph`xc)-N
zegpKyiu10_;)V5SirmL<6tr{kp3xuH2i0+!60gjUCGLHS{o5sQCx4r4#(sUwFwZuM
zz7W8k$2Ht<W+Y)uyUp##xjf&rBGV;B5ZgT$+6MEa@#iT2{ND$9cwnI8)E6fVi30BK
z&;(hG$X9QoZqvh^lOdWOn?-Tj+?z8qQ6A!->ApQ$dYGdml{ZI=A!LRn6;PzO+@o}N
zU*Xk5QO<iI?|KT(jx)-boGOT%Q%&S$)5FG|I)P|y3G}jpjQ814@phnMosWbb^b)Nj
zp4^v2<5~JzsmrQZWiXP!bY9+PB7Mx*P8zqRj~4%1P(z|YYI@eP|8~~JL})I_pwO;C
z!Y+KdmvM0?m@4a|^p{hrZKoXQLN7ZVR%qcTgR1%Sl|I%#uP$kBQvfx!C1XpDHUh84
z{Z!2{z?nnBoqp3w$X06nmgK36i9dJT57rps>ba}VeOFW<<V!n!SU?|+>8ZDf6*SD;
z&){l#L4``#<_ldF23YJ|>iXD5!vL?{1?_oN_;zl&oW9(5%p};eTk7eU*lByrX_Y$a
z3w)FxN6_FEStWAt3j?l?TDfk;Y2dKu;Cf#ZI@X33{)mz_#`%yV&R5@QE_2k5vhouh
zfh+Qh4uqSa)}W*5w3If!X^MR8c4Hv?es$6Un;HB?xZN@~=^#A)pWEe!3<O^;<*T`8
zj)+;=0?8A)Xns2Je!OY9Z+pKPn)J7XznNvj?z7AKB`PXLFZWW)ua8EyMk{eA<L`}&
z2lSERs9Id=!+_SGA55MlYrKnSqde3%z>Q}w;wxX!vBvK7>%v+V1Qtq*JPHjk#!pnM
zkI>+zG)HMK1^#ZQyQVD|fT2+lR+eRiRoiHK&%$jma^Q)j8IK`6B6m_f_?LC>6?){Z
zZi|lcrQXv`25^&nd)r-67cRES0b3v2g6sYRodatOkUFFx^=wWPJB$h}48-m5P*b6g
zh}Xy28p*06LJjoP-5z%Cc5p5zH~5gChmw0`R|FDNkU|YxuM}#BJ!NZOSZ>k9-1GZ_
zeZz8)7M!Y*46;Mfn}`2XnbXG5CVk(NI+CFM5x?-=*$z4-l{VK;XknbIH)zjy5!^_V
z=WrIZ!>{)4ckBZin7(`0YPgyQ=8=JGjmvE@Z&Rq{j^%vTsrQ2a^#ZFyZx`c%mn{Yx
z3hHXEs-kOrcG@L(f;HBX^vQ7C22IgQQa;Q1Dr~8J{NUd<mZw^@WqE`RXy4UhD$0~_
zKz_@p)y)@#H}r4D@z~(ZGp9A19?9dZztD^3wqD{GOcf+k03k`U{={k-oM;~k{O0$a
z_;$@s-d+X}pU|ig=95AI#aXwK?-${=|IGht9a$Ji6O3>_C64dPi>qZ#rift9^@ErF
zS3$g@&4No`3>yW^-xh~X6CZdgcd?zZMr-()>&a5WFypAHmzbI+c3e1m|4iOW2##mp
zHnv>O?R+P<xC~7b77awK%U3J>OyPW|Pw?PLh)Fe;_c_FK-N{PY3Ibg$b^qJTzW08x
zz_M_Pko5E8klk#FMrrC;e;XTe9~pOFsGB6LpADY4bln15M~I+^s(IFnBT5d3D}E7)
z^)_$aznSBhvS`bx?X#?HlNJ3r4<-orNBI;s3v;BkN@wgjGtF|e&3$%RbDTK%VSIv>
zY6h}nEr*EOFBT{B((_``pTvIte$(0?reKy;Io<dC!D5kVCZFWK6Q5VcjM=R>#n|Ba
z;TWxNti$~N@8s8y5Y{K+QzMH^;CR~D)aO<otDB<n_EP>g;^A7}Y*S?uXnv*22zh*A
zg|TSch8%{7vv<wStdfmkN~z0~32J3Ub7gKB6&WO+N$`C2VK+w6F8Q-=e(zZ8e9l<t
ziwqE(N}uW;JjTRgTxQu{-IuHsi@R+b?D~lU>EcF@DF!_Mi_0l}TE=o+`PySgP9M>z
zL?0bo=3UIWbqxL8S*)JdC3`g;`-pNO+ee(!bSO2(a_{+fnXn9d(`ZcTBR<xLUQatt
zM@{au;g)9w#P2<SSQf&4gq+HYeaATH;E}#1#8zHKJbGxD!e`M(gjmfc-&pPug@JqO
zvW9Ajo8J<J%P;g1$}11@4J*>Hi+0!Quy_;ksK(<8A>B^|@T`hR@HN7@wZVnc3vY-j
z(-Mu*rhdY^V^;wy(GcaSid>(%TZmt3gnLxZ0I{?Den4Zn0lcj@OY<9lB;0*==2<@<
zB%%fa<2fhw5o!5>`&4`@aYR(?*3Q`>f+-O0(`=xRAFiK%h7YzA|3!$Fk-LY9>A<1A
zTp@bcXW+fD#;uc>;o@(5C@@MC3b5`Z7we+?$$i<{&M(AnTaHU21K)|J#*;}K*>&+W
zc}GsKZ4c3(doMih&rc$F?XwdMR~=m2E^zW+ZZGjm;JE5t^$DWLBBV|Ep*H06E~IUy
z^%K`FQ1hrEzX;ljm?U0KZ7399RxoWDAg;-o|D$wI68F{%p6c?~LRpQ<6aGs>gv|Df
zW5r?9M8Xqjq}OYLeo);tGIE$Gvi~GhVmd>NJF?r;>6)lYIC}qF+9=WYe9YZadzP3h
z&g#m)r2#hg^UksDKM37wFNwi*b3``Vh=a1Y271`?GHD*;goJcg$8hdEu~Ee1TuP!k
zdQ+lr?&1AKyuW&6hltA(@wn1XP?=vH+yX^^72+m|QvHd_0BLq|g)uArPof%T3U}=Y
z)tx33Wz;>cJ>eh&m@W;QB-F66N~tw+_BU~T<U)n)K`v5t^Nhl=ELCLe9Y`Uk{}9!G
z<)^I!c*x4ptfVGWRXmPveXXrNM|8GM)xAE;NB+}(w^-9c#iGs_Nj*PLoX_>P=NS|r
zd&{)0&mE$oB5c#`n~WvmwER_#Tc?D`0`oK%ni3TXcQx%qMcBzx0pqf}X`-aC)Y|Bc
zEh@OFzS(Usn}alx8|YGdDMsoWc_f`oRsru}gB$q=xX8T^3r!Wzh?80ea_W>lRbc)(
z@?!Q59<r}xGEg;Cl9U*odp@kM0;6r`RRa?F$P{X81ua>cG?j9%`XQ!*vW@$0ks|`+
znw`z60X?#0eyHQ<6FwD;jT_C*#R`!w9U1nY_bHGX0qylx5-PB4Ypimni;}fI+D&Q3
z%4C$V<`GkK6&#Dp&Qz!sBO5kXXDTXFNi)N&Z~u;|;DMAtR!^ijX)mufGf}5X#yM8n
zmUgP(Ab(zQn4cv1&Zn8yoT5&C3XOaey^9L(Hyn)@L#4@c(K02o5t^iz;9Tr}6;*s)
zy-znMUzRlQI^_8Hyf!&hWZim4Obz)i^v*jf3go1ksM@^>U6Sv2(x|(gI{4Gyj%Cy+
zkwRPZd~fp^ka3A#>N$i4`0wpjvwNjN1}FGMzu9X<b}5B~pSz%i)h6pF{nn|H5@Lt5
zCBD<h3%@zHD%9%WOpg>>)1Vr;7?$~XNSQ$j4n!YP_t(b?l{dAxph4CyQgfMWm}IYj
zMBn!?BW(NHFWS3Ci@daxHWR$fnDirFQi7xD5DqmHdb>i0d{5cOnYZ4AoKmjN`WVMV
zS(~l;LX$4ZdxPVh*a}n9;d?2YUV{ntQ12fRkJKj>^83Y7V@%1m4^lj_tIVO=UeKE?
zVMubim`}OgH6`;8-$={-VhO|j+Yaf+7?E|?j#S?CGbNi{Im2IEw1&<?$5fjajZ9YP
ztzCFxLKaDQ@-(RfUA8y6W8Tupq;%cNltg3l%!7noGod!vc3V)cRhmvVK1h66Jj)<=
zcCg$QvuttWE8R}skWM;yTor8OqLa4!DVwaa?ZCSsZpSBKI(gl2n|F1B0a-HT9(gpv
z9?oCaiCdM?$eJitGb>k{?7X`;;6-u3v9<R9e2r-2%+eu~o@_O;U!AcNdmWIU!WA#^
z!;tifT%Wq*v?4iwXN8x|X$Kq);9Iv*+kkw_yRk*WNrFt3>v<Qo%K@9^o{<jfdZg5M
z&$c5SyreI8$j=dZ2e@CN8Yxa{lb?lJSg$Tm5)tG}?N^WOVMO+9>$syy=I4jSE7rEL
z+~0(GhHKhGCFyF5&Kh+xN7y_u_WNJf{Hv&R-xNEX8Bl3Vo}!WiF29ZTf8;{RBWAki
zge@}PcoYqKDwC&#k35%Z5y1SO7L5}dY>_>7XkPTM9Jy2KrS^Xe5xDM%*{=W826@!q
z1)tia$XQQk9xoL!#P8eI=`LdfUaNb%8s;ga`Tnz(K`Io?R_9JWhy$cj!_t&L3zHvx
zGOlbarQr4M@THNzEDXm#NOIW3M-B&P7Bp~(<BQ@>@wS;&;JaTu{ck%5>9yrz;(94@
z*xMf{e89O1^P1gE>7~Df0^7~KZrtMdMzz@#rfdyYLZ4~7VS<>@iI~XirodS*%UOQ)
zN>D;e&V`3|6T8s#OeK$kq%Dnofl*dCb-*{Uzw<0h@aLlC`v?kzl`ST%sx7hSTHwh3
z{4UmX*Gbp6n<&^UmSGhwWQkYVXPTvYMp>_Wb5aj5D7eqRsJ0=%0w4V@WV=$PSa+k&
z2Ru`y;CFDWTX(fN-ZW3n_G-_v9IdYhUDlxBIsaaVL~U~{9JlX0*D%jgD4aQBVod=}
zy<Pibx*5icxLx<guwjpLYMJ^z3L3hEI5rEKq2{h(<@8Yw3`7V@MCVgr9sc-UW4tLY
zW-Vl_U&n>BCd{`o!s0MK@Bf`m&=kV|g|B7`@L;zOVH_JPj@n{Xmx0SBn6-W_UQx`8
z!zYyFEF>fl9o{m3K+^;_mAG#2-OP{F4O4d4DkadZbn13Vr7_Z5ZE}nz1>izRd(NMd
z#5{LfV5he+-p{7%L?;V^%c=Hj@ir+$t(s~QTh2ec>_IDhXu^nk$^K5-QyS}<H-~3E
zUiJYa-xcm%A`oA}UKkoEgI-0spWpnL2zeQ|wC<HCw$y(s5WFUfsZzJO4N6RS@7a_Q
z_f!nuFZ~Qv@0UYAS8t<FKLd;~Df9F!3XJ2@GrOD>5F}9Dbnhtxb5Bx5q;8AD>#(mB
zvq=%RqR%{NKgWRiBmdmPITB!d&FwR`OBt<hmjs>%F;L7adwaG{67Q~E6}3-M!EWnv
zc1>>viq2m%D438!U)zyS{Ku#$UD;40vYCOroP%X2^<{AOOyR6Zuqqs#l24!7#z1>=
z!|S=@vT(k2{pFfqHH;=l@LWF3z(K#FgrlG3U|OfU&-ti2H0T3?$8Rv;n^n30#~KB2
zq}@NKa83gsMBE7fkIVh+tYpm4Yel?W6+m^lt%(B`2OG{T>+q$6sdU&+8I<qWeixQ$
zp^fWSkU#_zmgiUO7Kl;7oW8Q<sTOTm7JRb(_mheBQBKLtTdCM8z#Nw7*MY|&-tV--
z#%P^qx+E_1{M3A1z2Jy0{56eKEGQ;u{~Nn=x0D)Q-_vff{-TGZ)Lo+%b<6%drsF31
zM-A0$Wk+9^>Ld5bk;RrIQ_Nl|;37Y%L+0z<Nv|*ie0Kb5I2&k&*nfF{t)6Hgy!k&L
z3qC_QfAntb@-m0ek?gHsqBP-jFKMtT$Pfyg0)_9qEb#iNc<%q~v>>5ox${THa*m{Y
zY%|?$39+{QJ`OWlDD~7DK78H~Y#F(YvEf!Y7dCQm&qZxikLC!}t~7*l>DbTBX)6&L
zY};HRr2`Z7Sf=$O16a&kNngKbjeD6-E36`PAYA@csis9AYCmE>x8$wDJ;#sf+esbN
z7LW$BrFs~W*by1<fQ8?MjP*V}I*8L6Qrxyf7i!f8eW&b!-!T)}n>uvx;i~FMYL_<b
z%`?IC0N`r%JQMm@2k-SK8VYr_@P7aR0RR6Cmxn*rZ4}1s$liPJ$9f)n|1P5~m9$A&
z8EGhF6iHGMg(NaEl8CZPJ-^;)XsLuUO9<I}<@FDo&wb8)&UJk+)}fTFnK{70Fx69d
zzd9}+Ubmp?q>RYkn)M~dR`}fDTtNO*!^85Mkv?Y?p|_4_c(aEUZXewc%(Foaqi!rg
zzG?En(E7J|=d4g!`6E3pP8F=wfyV_=ve;@HKDGU#6%yZ6{fMhk!RuFi^7MI0EPB41
z3<|M=?D6Q3-=CCW^g`VI#XT|1SG#|&b+Lj&1z&OTHzkB>-e6)+7se0cC>=f{D|D>q
zaOZ1O#DcoHSag>F1Uht5E;Cs{=G|6KjyeToJ^h`+8N`Q*-7HJCb%02@v65w_JjxFq
zsEdEig@gsy#`WibdZASF?m{`-IH#iVdjki4+W+0|r3=vhsz0M_kwu^z@6fU*8}`hz
zQB&#&^xtd|?R1caA+PU;yW%V$dw7S6WC%obDDC-jQWEYKUFwe<m=IoABIglc3FB_3
z<*o<fFmF9&tj@v+o~gFbyA2l5IQe&5GqV`%*$zeilVw0fV6%CTtOefrHjbr)ilA03
zG{lp(LI^TQq;Cr}$FHLz6Q)AK=ys_ZkAC@&Xwhg$e)G``t>5oWs(%zjhx|G2#;$)v
z#d7!Pw7MCh)LcVt?+d^yRDQ<ae}&kfliT1BV+ww%<A&v2ew><=RWmbSz=ZyQkMW=h
zq!!M82_X5vknTLu)Xo5O4O9EKnc!;w&J9}Ayf99Q&9y3I#D9G{-{WeGA+8>DWn(T6
z=00Q@&fH>x*u1X!HdSK;s-GOmzRHbkQ(@POdCb_DviNR&su2#AnWo<?;6hDA+t~RJ
zEKsg#<B8=p!kzM7j-)wGRH-%iALeDl1G|R~23HI*_O~OC63mI7#GQVJeAb{{@c8?E
z9EPxn?9!G}<HYsTXL7wd*>O^tb-Q4k0sN-b_jxjNV#TrQ<-G4&tQ?}&g$o;i;ZEYN
z%^aNYx%<smNQetpNBxffcUK?tl~d1m7;{2DOC?yfl^Yr3N&2h?`gk1kz-31~C%$;z
zr>@lS!ieopWAJ-D)JhI%`fzh0cX!Ohj}AUWdfTWU@YaJE*+Q~E<^o5y_Ny<W{0KN!
zQ98n@hlppfmwLju@ycySlcta$WG;=2UM$yz-Dk@4Sw9|-W+%L0Cj@G(t!{*yE?UXi
ztrsuyBD{bn=2)sQ#$t8%+llMqYl>Vgiz^=%<&>qwmqj40^QX<HnTGJOIWZ|=e)#a$
zC*L|FhPG&j*5he3>}Ic73~uMgY}P`A4z~nSCQfc;^`_x*m3eP=wE&1G<vxo~CGkKt
zWYaJ~!<wtSA&P~9P(0sy^4CRa@PG1UVUed{__gAi#79EdP_gxEn6E5UWcjMBxM@)H
z=sFbfNf_*<$GgKS<<K|PGyRm6h8dHgx4tZ*DBY5JVx>+Vp)B&&`J6P2^qE|)-Yy3J
zBDQ~Iw*pRi#QN-zqk(76r8&J^9Q0pS_8-}mz_8ZeM136%<2`Nfc&L)li5r+KGE;{A
zk$WFYLTRYrEmC^;pA@R{ZhjzwRG{b>)fZ4t!=)FCj|+We;7w5!D6CdRmQ}JLuaYh(
zU#@h06_Ud(54Rh-OKP~Ke&8QtsxBn`4ji{%mILEtQ-!((1qn>b^QFpqSQ_^({xK|%
zV!M=Q-vTsXa_X%R@lFqy$1^5Vek-7$v1;5qQxh5nd@qh((TDzh^DMb8MeKB4aprlf
zg-D+79>?7baN5u?`P>gBwBFh6^)FW&of;K)>UJ5TlW9yy`KvN6FteYoJEnsOMiv8>
zLq-Vd%{Vtvrvl+;x#T-0D!6><mny=I(YI1_$^3yT%9_XhMs%pSe!2Fj_9GK~nsKlj
zh){!xTW7k5DHVxUT<jM{P2nd$*>Dr;s29#sPL!cS@Y)Z_Yx?H+R_e$4`L{aaYWD>(
zmFwW4afXptum$QaJQCgIMS+*93K`s@jdE=tN%;y()ZYEz;QWe$x{Ad#!~0s;!~XE|
zrfvdEQ}?yT7AWuzOr5UL)<k-*5R+ywu>SdLH43u^RG&F?Z8%B6jO>#ezs3R8{a#Wb
z9TXf^o`2wfRt-FcdwUi4SmD|AUhOxRDNt3<=CE^BfoFrG<=uQMP@0Cv&vQ^<%4SCH
zq$=U%XJ<anE-U!|vAlZOMI9Q#0)-pq<Y75)X(hm5jby|AVvYng?7yvKwU8(ayG;=*
zZfmWvm8-l=FH03XU%T!%dP?HG)ktf^iWT;5d5|-jtb)`2a~aLyqEHDI>$>vO3cpjd
z=c0p@L0xb2Zgf--&YDZSTxC|!^8Xv|utf<$$wooU|M8*4Rk{6HpcSmMI0gJg6%lph
z%fQ<iPK+u@5AD&h0yi&H)Qz9=7$7MgG?O(5O3QEY?gBbRUiZIzD2IF5RfQ?G%%~Rq
zq-%8<Fy^XWp|i;%^=5q3V=e~RxhhfGw1Ld00?GgCr4aWa=sW}SB9YkfUo$<2fZMH2
z)Tt~9bl)lp{3Ab0sIWz(ZSJ?kuZEn+-ZU{-E?w=+**-;d(p965QY;~+)=a#w5kc77
ztV2h9CWwm@@ijHaEFd72bUu7Z2u109ESK!YiGawi>-#Ir@$vk<z%F+|czTl}ZY^U(
zC41<w+=>})IG!?OoaD!ztD8m#N5+Ujk<43Zc4nv-50BWJ&xaJ-j;o(S#)%;F`B{|=
zQ;gIcn0>m)gZAMJ-m{()M1N~!!@{Hqt}lJu?K;MV{rA?%jATs`=VMo74eU*@a|_>1
zUsX<6+^CyAA~j7&?l|}LSCKK8C68+EyTgIlujf4|A7==qAny@YK4T<ojSP*qXUESy
zKT{<i&JhWXnohTaj8OfMwK>pe4W4rAXa!U*5KnKP+Lqd52wAnLE6I**psgQV3FuiO
zHZ&C%FYYwN&zO6^bMCT&N6KVKLT`n5(&+vA=^F#&KWq?4lVJtJJ@UcvFAPvTYH_pK
z$^h$#m5=m#7BH#bV16mZgwDjAB0IW1@^Xff?<cds<I~c_>0o9YI?+0>V5N`qbu^g`
zu`F1*7Nt2fzyiL!Gofy;^{~jjt+4wZ3wk~ps81eeLwTpen6!f)EO-xAiuJSLc3xU;
zIX63W%=FW|e(K_c@)h5qjjU+dS$ZwMo&)xebmb2R=;EzQnP%~OR#>n%j9k3Ui9`2Z
z#cJ{B!vDaF5O#ky4DxND*vE5&<z@QW<p(q*pWb$0(Rd98_t}W)-s45kPL){BZ8RvU
zxbJI{XGeNMZf3&-A8x$c-k&i`McVTN$~sycND0cZWl|MD&62JzcRm$2dg5P=9axJe
zF@v8)`~~rPE+@ZsKNazg%N8~zoXDFV6Bzs^gbqR52o(`3T*_136V$k&_2gmIVMh@(
zx@>SQd!&Q2zmsZ0-|}F`y$h@dM@2!OXnC@@UI(=a1J1*n_#m_0AhEbW9HMPD8pXrf
zaJS>S_sy0ct?6Ut%jYFA@=f?`+&yi`yIH=xuv-9O?q3eR43ox`@~}Wbpf)z~@d|N9
z2;%3qnGMRfWs&!5{T)YVZDhqAIT`w&5a{`yKYfPf5Li;jZgEf>!zacHnq)-4BfL--
zAgchE&1s#7!?Yol`k-MZSrlKFYPYnwD&o}P=S)&hwNboZ?%p*uaqxaiCyOhUU>~mN
zEFq(V<B#foFE>lz{-M%s$HZ0eRfXr;zWX}R3pZA_%$CBsS87eQF{<!zt$c8qN`=#}
zuI}g2GT;k{7$X?fv8mx~$md)t+&?KS$k@n1PR8!qsdE%`NnXw?)}!It%cVyj?B&sG
ze`ovI1r2zq{q0fiqG8h4`D>HA0&YYXZDT*C1&+Gr?70G6%w3W__AgQq2Pgb5=rn3W
zv%~0-*9|=sZMJhdn6HE!ozrUIq#}|vI)foyAH~mIZHRZu2rZ+@CfufCbJOM4t@Q?Y
z-2PihbXWzx;hxC}yfi!!rtZ4MWrRe>*Cm(O)G#^h{U+LthNd@TE*Zy+aXZYv@fg24
z1fFtLwZ_xH+Q+`jrOyOeH=n0*uA$&Z?7jB5Yc!;d40|*AnPEwgai3{71%CE=LcjOZ
zuyS`wqkrBU?V+BNuah;f-)YnNf$`P-8#~)S7-<P{M*jHka+(-uG2mj`NyQ7Vw<G;a
z1j?gLnhu3(!b|7^t%^Yhp3Py?`VWCk`=sNqXK8{>?s3k$WldE2{Mu%-#R|l^sPxTo
znuu2PDNHJ&Kq0QBx2thAztq{ka)TxehYWfi%Bi91&>II&GizkN_I%OwL<0ld%wpju
zlu>1+w=X%y8saH>l@C`aaI$9EyT42USHot`lvG*6@8$dWKY|qS7uem{x*`i@?diJX
zZ><q{U|E6npBjD-UL6hiB7tOsZGJ6uYb3<-oXM<Lg_qUoHWvmFxSeV-@491+E2ULj
zfBjXkx5+T~Toylq#0OqW9<j!p;<IoI9%W=je_bw&<b)F;(da5`jc*eSJ8xwwLO^xw
zru`Qd96ou6cDBI^TQ4)Mo`C{{cp|tKoc<9HZkaOu^|gXrhtDtW7jk$K?U~FhGEFEI
zc(wh<W(5_SZ<L)+WU%3j(|5n^Lxk{zYEJSUKx@Hky)BOvM43BlqONukmCs+zuF4YD
z3;8qt7bT7e$71bsG4F}6rF|N+aRdr?C&!g3h$5oijeBKJCh?N*WNd!5C5&4A{5K5=
z;o$JF&)xEBI%h?pXLg?jNJSk^vu*(lt`oV!L)O!~=m`r9;uesx<9BCc;s<N#G34BQ
zOHUAt`EYW(Ii$pr?3}WAAYHg|8!Pi$y6V|PpY3sG2s)4w*L#B#?z=(^AN{MNx8L75
zOnx$jR)EawwXN*9P2c8~P*zJXIl>V1Lev!3vi#N`@nwUGC$Go*`Fy%~d5yTShY1Y%
z3dO`XvY@@S<lrIAY@%iJ)5)bOV<<KDyDfV$fmh~E_tVnnM3e4S;wP^$I@z9OcE4f3
z?*>NSFtK+;N>4F&`B5WSQ-7Lmtp7(C=k+tH7JMaAR6K0geKf@3vvLjPu1my=(ionA
zq3^_3zd`pS`i7vIMcl7Cv_O0r_YTcb>LxOOd=DPWFaUo|)35uLa|E|q1xJ{358<W8
z81jVM0IkbmN|{cxM48<5<hjf~B3I$~?wkmH{I$Btbz;j5VIObTwJ<b5+&_QuN9?Q~
zE^T(Td>%GUy!2KS7+p6^xJ1XDaq`z&&FizxlY>))kb`c2$KEkwZ?A*U;+QU?S{-i?
z*QW@TLmTE#N=y)kN5`5SPw7HF|6j#5-zlPwCG*S3;3QFxN`ZazG<fh`&%PKqMNlY@
z7H2<96a5@p%oZYP;D3thppq$qDe&q0xYx6U^7-;9Ej}7HcOKSp5t=3z@^pjQ+UE)C
zBSEv_EGitZL+e}4G!Z8Cn3I!li4aTwo~v&_MgL-9%v$FeqP&|@kmB`^n0D)p<hZQ^
z>E8B3FNj%U)bglhcmM<J?U=ReSM`rQVNK-*yE($c;KI?skBnH~pm?#AM;j@}7KKk;
zm?tX2*r$!HnQ>)k+qt2gS}@!z<9VlVfjIG<vV*ya1;tCJALp#<h=Ih;`ny3(MC!I-
zr7f4(VC(U=P-I#I5>eHsyN&-5Yc=PRU%IeEaTix!(hdzM$KG?iEy94LJCZJk53hwP
z$I{OWl@u`jlZ#u?U_`=a28)9UT%aBIN^)1C;JB;Rn(GIdFq$uIWH!!&;&9^1w={LI
z@n^p~U&@TDuW#HqRL6%kd#*o7l~#uf@1pGnC02-D^4PJWC4hHh9)1~xYUp1O*_B$$
z2BIfTPrh0ZOkWCjGux`+;eWStPKL3gbl%W0#zPqIH;0xf45>o!Y-kb3k+leMT=~Op
zB8qPv;&Ex&s+gh=j5ddJ;oY<EI$;Ll$ZugBck))n#|@Qdq8fOxj<P4d*jW<k9}>eJ
z+o~e!Qt*M(d3?CLHOB<y(g<A3%IILI3dNti2BAy>khR>MQ!g!t5GlDXZ!1->-Q5zk
z^PC`bTwO-XL*()A*nYo~)%p?o$<8AZ!g$sn>T+&e0e`q(*&QuY#qN9OnxuY+z)8JT
zTq{xuHp^x6F^X!qp?7up^fNK!D0p-UX{tcGXs_fAx*AII*ZtIfB>|0BlW9rAs`&Y=
zRk$Kf9sQmMCuXOlAo=Tr-G`UzctXC^DM_N>X~J^d(@nBqFnup;U#Nli*Q&PMZ(IFe
zQ~j*cpK^F>RNqp4TMKU-kIm0{YvJ&ajp=h81?=lC$#jp^fn2fEm*=ZIlT=-GWHD9|
z&u^E{vpk{Vfw+vaRxK5i^cQ`5XO!R^&(-`gd({W`h9)&L>LP$Uf}VUt1+y35+#Nc-
z%5#^}|J)4FLta{;f>@g>!ZJ8N<f-ey{dkVz9}xr8zFb$|v`HP6c7u;3EA-%1@;PDn
zmmy>%zDL+USoPE0ncLTL>BDL!&9MKgG0OTxyQ^3C)V<A(CtXn=)n^2y8@f#~t*)lF
zK}HJ)7JIj!pU?xt3yDXv%jO6U+IhNITpM8xcGt95b)h^mJ=0!%HIJl!SO3zk4J+QE
zlLA?~__}PK^Y}V&iYItH$5{ti`-7Y>oui?Mh3Sc2loj@G%=ceT)Ir=0>J)^jaMKOA
z&v0PX*8&TCgF<w`pL1&?_b*LMuiP@C^4K6lyl|9_R|kuq&zv~8P95wL-xo$wY_RE?
z-mlF&wNdtVoA+{vGR{?>X%d*WfpAIP%o#f^NR))HJya-<y>z{pZOXQ|=%3{9mq`=f
z*7=sojY+~GsVtCH!xjOj%Qt(Ur{LD{i9%&oVTjx(Y@e>RMQgKDu0fL;BnmQKjGyO5
zvf0`7?hQ6@K1Dg9#;yvfc0-?C;Y_&QxK}0Zgbj{}j&E;NSH|U!ugPEf69ki*%!LVN
z8zej`ajmyiL;;^6zZpwCQ5VeJeBz2Vd?T9DsBZEw6<EsT{?S9<oJaj`$zhG?ck`2c
zlCqGhJlkvkY?A)#8281f)wyNevB{oIlElA-z#Z4s7U>>8KN<O~02=$-nHem_koS7q
znzid0$XchX3A8Z4iACRcL`oQ^LT?RSmuDhh=+;|T%n>NnX-t1(AOO*V)Zz6zn8`-*
zkI|`&1Q`Et{=P26i^SsbAnrwGa^**9!GfSAxW$AQv-Q`)$Z>z*OM-<o%6S^DK()Yy
zgx-LHH>{Y*k=<@##zLlzYTAtLGDk{91N`1Gf*Ps8lE}hBhTrBBWV&dEKhIka1{_@?
zm|C2sZarisS>2E8eXTV`+t%4Nub5_ts^{!Bz8jgzFPc_!jY}p__&gT7XVVzrOu3M=
z*ug|DXUCoLvNb_az}4r`2m6TW#9+Z&XPC&$3+?qhiN=_=d71m)wI9S<Z6e4+mWlK*
zcf7mqj}aWtjvtPFR7dO!<YIW=!bk=SQf%(n7=cnKed%d@DZQ~ym+M;|Bk88sTU(xM
z2#>WYt{jS==~8m<^+RJB$sV>bClgLXG|=0&hP1cS)u^Ay;W$RJDaP$;Z=eBsRz#{)
z{_CL|$KD%y^I)~kF_wt%etpoX(I<E1{h>cd84j@RXC#G>5X&u2`fx2b+OwoJOn>`c
zsBfPY6Dg8-M(1s_9^%XnwAxmW(L<fKz36$uM7|cXd||Ll501qs@1;-BbvKp#taM~1
z<)u|M*;{p?oRGdXwsMM|f1zZcl9z>yv0mJ$>!J&@cm+`+cZQx~+F086mxatx5|S+*
zq@gn6ol9WC96jTC$>D%uRx&<rdi+cX4TqDP9rYp?=sT5+y59(_A=kSTv3GcA=(>3{
zNhD&4ZsXB1eDNSVDK;_vnsSc{X@y-g0SW);b@~&BZ+_t*J$^dxGO?wiu!}pV+KGW&
z`>n7@>m(<6$Jac%<(&>hp0u?^My$@g{btQOb8fOs^l3_$m=5@oeoe$zGLikKn3XM!
zdCA^3=FXMl+EC9uCD_c!LWZ0+eY35MkNo>`wzA=~7WT&aggbb!l9yOSoeF#TNv<oM
zUQ?D@;Osb1!uy+zRH>15W;PHcE!3Kh@2%FvpQ*E|l=JLl?z*)-b~!?1>fL7<E0&rV
zQutH*l~_wsKTIaZ>xz*3*vn;An>5g%y)^2m$VCp{F)i%=ElSSBWbfS=tO2`Wf!~}u
zJY-kpUm3?*aq{gXisY#pu>WyKQ(updls=j^Fz`f@eBW|=k-k8IzQ4oxNl$+A?#z0g
zfM3#NS6)_eOdADKv#F039t)7Rzk<UoB;-h8Z|>$*q(-`7=#Fp+A=0?>ObyFEc~bDn
z*f-@N3O+@$Zb{7$CPxos6qCgYWZQU9NQ;~XE(^TcUjtFH_*RQDMNEl&My}Ng4bcF*
z$KXdkCUG+5*tNI&Qk2PpmIFq`OB(R~R}*u(M}n-G$b6lmu1ao?|8Xp=NE60BZXb+$
zrAYm)z26kytC2E3%1wLXwQ%b|uOaIiS(0n5$-|it3VA`MqyKNAHu5w0tQ&LW$Xi8&
zZ^EgXWb;<-zB5cz#FjF<@BboC&IUYmaPQS3Z>}d9eLquCwcG#8dTvE>ILUR(h6EjQ
z$5>fRVI2)0#4gPa>`)><xDQHxy+I}S-<D^c>d?iFuRe<T>B{8I-~APTx6sIJeutf$
zGWr;-G4N~rqe3RdsrBa$(a3N<TZ27O1}LrGk(otRBkxRxI0bp@lC(cvCxdv5;KwM}
zpzEhjc1VYoU$50A7k?+2{95JnqG<VR**7WVtmLkBe(k#C-Cl-{+rg$7>!BSbay3XE
z83Fsm7rJDgq)@f!W^-s1tRI+&)g(=w`xZkzb;*Ryqt1TPmXJ!}X)NEMMQXgr3_tpY
zMix;i2S4=^$aJYrQ-8nO|Mp!Mwf|7b+Q+*U3>tv;`-1Wt1+~cp#?Gx{NjhYuZ~2f-
zoE2Dyom1yUwaL93TejAZYLeCI8-)A}tg%yi|JL*tEi$~Z?%Invby9SvqpI^WYh3+J
z@80R4MKUgK{TlvWh2(86xp-aP2Ek9PnZ>Val6z@tNoAK6$q^s<+4Ms;i2ADWA?lI_
z*{L^s$Jt(v6uW-jRV~y8d&McaF54(%{wWKk>pl`>n23>H*(n=vMtRAy{#7F*8!@$~
zK#1fuw`f<iw?RK+_WiOWs-))CgvN|P9`fngS_kmjASQLDuJgSz`N~2m)a4B;d1ff1
zQ>E4#%QTa_H<gvh^X#2|pT-vHx8#cbe(bYGcUct&f2abPy}d`yvvrtGF{(T<{MQPH
z4etBy{kHnPXvP(W)1T>or1+)mgRL;QaOo2fC_@UlaT*Uk{6v^IWtC8wtnipp%y-O9
zlI*+m;_i{G-voC-!WiEbVBvVddyNn=@?pm3x$wzhLcuzi;iUlJqqRkGiY`oQvOj32
zm`o7TS&l<uW(1x-KU^tcEJ*eq`%9E;pCSS~yqqI;TcTU4=%@T|KGJ9Tw4uyu9!j5%
z-Te5B1tdJ8KP$v=lZ!h#`$k8niE6$P1Ess>@CY^8lu*n;+Obh01inubZ<JgQPkb>$
z-sSVdSM=FPT_xUE2F}yOb+whme{0RKOXlI|XHjPI=8^k3htj49b@ih<Yc`wWJI4q1
z?K>DqYmRy2qM}J+rL%@!6>oybaC6<h@<saD{FrFYya^&)X>><<n=y>Hwv6@couxnj
z{^A>N(l`-Vq5nQh%NU982jp1KPtsXl)`w+X93#G`B<@wdXavcSGjl9*V{}`YubS4Z
zql9R2DLMAj5dVoqy6tcnq+jb$Il-<tOmG`)K2l?2h>ej_TA$>4>3cIXxs&~d2ph&N
zhb#&WR&_N`l0CVbUhbW_zH@MZ&`}y-wiY%3MYCGZP5(Rn!`1K87c>447S7q`iBbCa
zPiE2Ol<60`gl9(9$t(RtXROf^ra3(%-FSS0MehxL@}3I0p`?%4Bp{)5<oIgdJfNSk
z@68iBE9L&gH?BTnx32I0v_V~HW>4094$GjApJBM{cDI+{yK&;fS#Mn!msZmzX6_Q>
zx3p6ykM$A(9`+-nLo}r8u2Hb+sV44UIqwsEvX>YbVW|0bk_PwdgUeC@FNq12Z%-NT
z_Yx&1dUpvgQgPd8YdzEOTjEl`t>9OoK0+?Tt?}k1DmLwkEAv_SM7(PKv=Ck1N7y!q
zb=!ziVaXZuDYfGZ@uf!hjdV;uk$hP)iq}yGjCIku7J1)@&4kQ$o`gRHt@JUG5w4BH
zMN;uGhgyku72FRUJ`4~lo7vd-9%-RxO)JJF+K9=U8WN|hh6w%Pzxg(QG*QY%-$m`}
zASO-1@5GP%B@8d*krK+Q{5st!QGKABsLGDo;oUMqw4Hw28+=3qZCY-^&zgS{UL`v_
zD#FJI79W|`jU^O#`#VIO@aQ2#Wrg=2s2C?Wm_C2^Us6X++x+V!u3kb~?7}@E-btce
zCttMRULF4f009603|DtJ)qfPW_qz6sYj5{ndwvh1l#-H)hNzTO^edDoQd9^<5mJea
zA{im>p=1;hvdSuD7P5(-e?QOroaa5y`MmEr?_<APO$*IGiRsLji^aER2sy7>ox}`P
zc(4Ae{AS58@nZiLrZAH^;s-NhcL=j87zU{w@v0dm9+dbeQ-v0YV!x*)509#VkM`D!
z%WLDrNehJ|(=toM51{}-K)%1OoeLk80k$Sq&3peLRww2yFCSVVypp~-CmJh5p`mXv
za842bMAXK~-&TnOU!{1Ha+JXN$j;HEz-gjKjYZY1i2))sb+u#^l;GXSpPh1~8KOIR
z?~!vmnP9K$F4C?vMJPCQsJWzZmf$0g2Ao-C2AAs@9+wmp!FV4j;7QRuu^e#hh|?EV
z2-SRaU?Num)ER!V-)dYW!XkWIqk7pvS^ae}$y@=Nb~r^}ms}y(BBk|bq_`l;$M~pk
zn>=hheqTZD@hYKO>@o5A4iDtMtJqikpFI3r=q<M?Vu0(1#+S#o@`JHqrpGHOc}R}-
z99K7I0_(c131&(pm|vSY>)l9(4822lkBl=z@r8vt;SYkaGMw%scascuUK$MF-?PH(
zO2J2-2f}d5<N1iwE;2-TJ@X%KW{33R<?@01q9F6}Xzh1(GVlfI(>VFp`F(P}c(zU)
zcE4fT%q>KQa{cS_s@Hh{cl9~vXi0(RZNm8q9~oW?E!v$i<%fUC&&NGK%7AnYyUA5K
zGKlH5j>}1sAb8(0kD`+t<V-EQ&e@aUkNCv2V7VZO+eV0(43dHS=jYRY_sI}EeeR^=
zRbe<cSl940RskIOW?!A<kcTr|DmNp}i^4B|y-O?ZO3-<yL)H3;JcQe*?bWy|4)e8Z
zebc*D;6;|Og0YVRZ03`cv>lLy$C*?imJ@2gJN-cUslOt0&z&M$9h8AK<1>Gl6E$E#
zeBfq7wG!-L-(~!fRSxb=^XDh`YeB=iecy{+Re&DSoM?2843)K=so$h1Fq-(E%cQ*;
ztX5F&iY>}R-+XZ31v@HK*oY2}rD=eDgjdK+tRg&KxH5armj*&D*St&*YeRsurPi2<
zGHml5NSnE#3zMm`mtQqdKwRbl+ri%|pb*2t@$I@EYzS}RC{Cln%cm;zqI5NIBZ+A<
zy6D5hLz`~Rztn^D#BgsTCk@c^NUMMTS0DDiI>4c@WB?(fj1pW^n!pq0^C8RH0LtCB
zi|q0-hOUBsFRxSDFm5B=P-L=>yS(zkm(2|H|3>`>WjYW)O7rvos1H|ae@QE4S%71r
z)sa;X3haDKj!c-+gYv6f);4JX4MjezLvJaN;$HGHGfNlduJG7Qby~viGU*`yISRbr
z=2(7wg$m{e%mVnPtiY<;bCdWy1**D>bzlG0fi>Y%t>?a4gS(`fRN#7@j32&v0%tYg
zBHJ6$udy59Q2gg7ORnqn(_(aIvXx<tbSis=+Xj@~KOZ&^*MUNVAS!z&87}G#_wsJB
z0oAOSs<bsNDEw)BvG9N-+<)WW9^qgEU2}Oo2|Ai^T_V3)yo3ayDId>nQLurY_|W-g
z6?G_jUShjvju|vGB^`G+ZG`ff)L~py0hU;9dpI*nBwLmzgt%-3rsd5S?2473ESprE
zqdrLY<~N>oZLx-IqZ4UwycJ;JmIG71)H0p+``Gz?rq=MiG~Zo+T{n%Xzb#agSn#+i
zYrye`RxooK<6@^}fLplY`sr~_%=$0rcMFphc&E4JEWee2FL5sn0_%9O{zBB5T_-Fd
zvCHkrpH>lI+feyj(pUhK7ffF7YX>-KLt_Y56NKD>RPEcsBrIC)PujE@;JI|Z_<<N+
zSReEI(Kr&;cx8tAUnAgy#*b)^!|V{?y?XrSM-n=U2X20F!vfem#$)*2GD6cf``@kY
zBz&s7U>%ff4#L%^N!AA!35mDUGl6sx&UO^=SyY$-JIOc7*kqFUTpy!9l|aI6^!|?K
zQByF!>CYq2(@(T(o}X+xMnaKsui6cYrjT}WRm}6+QzE1MXPvJh2|sbPYRVipfrkGI
z*$gr}=r;Q|tEusm@W-_z<?bS5C@ei{=9>PCzGxeo-#RUThkS#oLV1kgby=;)Tlpz^
z`t#%uLO%ttAUpQ!k&{Nic4z2x;N&cQ`&I$|2V(+Q<YX1{yTuT~&Y4XsIV{mlS*+tc
zSV<@!1K)B8Ll|az?6BK$m0ok6|6{Kn33u;u%Gy|H00vUeW>r`iarE1;w^SerU7Tiv
zFX$LRy<oEpM>P{#7%azr?<C<_{jXl+m-?X1>To^t1Pl85^aQtU7sL#P)4x=V^&w!v
z^gsh68)n|l?)Ld6h@q#8cHXMh10J{jqnR=6Shy?NLi?H!4tjGBx$f5kN_ElrUnx$s
ze%n|QY%7cwySf$2=XHV2?g;PXGcLSXzf|&tEQ0oiGfh2-x)8IyH|4Au4+`ln*X4<c
z;(R+*mC0Hc#09i<X1aNCE@;dsLRAc<_HNG!`%8nCgw<#FBlwY1$NF=hlQ=$nw4J3f
zhX(cM8zUa13m{9A#64<?1nztsx_O^B4c>%{N9n|n@Y%GW>nNiXE)|qJSLoBA;d~eK
ziwHqPx5ZW0tI~KaQqeY@g9g$D|Jf$p7Q&y(^((pL4Olx(uWlKlLY!h%?5+%9v{{uI
zdizxtr<5;iDl}0cUtC|G)Fgtg8gcq!-Ex@!2_dGM3cFxW*jIKj)R|0f4QVCg>Z_-$
z8t<r}$(v*svCiAnHaxe#OCIA-OFr1pMun~*m7u4E5{NI(iVKb_V9cuP<=nqi@a4G7
zdtOxvIRt%bgE*8>K_|9CMRC2aEz+r9@}x0)yTQPUrZTFAMR`sfqrro+J+^vVHsFs(
z!_HOCDyYfsnY*uo1`d%b@h9hGu`Fe7*gRAfD;>MLU#sduQk;OXOP3tBi~JEG<*4Ct
zr}US)*}6~`y#K6qB^loZu+7eXP)CJv@4LlTdJxDKnhVe5@dRgATV<~X=ALm%ZJpMG
zhLZ=HRpS-#mt8RR;8#ujX?jE@txO+=&b)4M3{}LhoMx*`6<X+J7^i(Z(EwWd^`1w1
zE1?$UA>XzDZKN)V(Y8h#f;v~AnCcE?{IKS=ErnGF<++2+?j#t&hj+De%c?4P&QeVB
z>V6&U+xJ;UF3%Xg-wF%8JgtJdRjR%l&+Fjg-tfowT1|j$Pmk4DrYbrx=fq#I)4@Ae
zhRg4)n!?aOX;IIOYWPwt|6pF5HhNQjBvh-J!zYH?L94fF_>{j{aaC9wU&@bek>73s
zo+T5V26F1yeU_i)3bz*8H|oppIYNNf<9?5fJ?eP-)RI~38x8z@w%Y#|4Zuo=JF4%P
zI$kvPUaZ$qM=k@;tWW6x1um!N9qiTdy+>R^))`ggJa9Nqn9UOQsl6v<v8$tPn&OrD
z2xVMO*!@Sz$r8HqUX}b#RKwe6g(XLCDB`7rn+Xr2EJ4aZi}^IG8d?b)SJV!X$6te|
z*H&Iy0$0Em!IW*PXkGDnaN?32p4jxuBd%&4Umbk>m!Asq%88DQ3CZAJw!3rxRan9Y
zwud#|*OjsR2}7#PF$p|O%TRR4v;>LWB%jg{C8XF$XKFKwqLgomnOTS>oIWHt5`0<_
z(=Pi*zMT}rzr4L&(c3KH)GLpFJ9jEzA3G;kf~f%398~qq=Cg$DEGGjm(B!e@Z_DQS
zT5hxr8_w;05Afra^mLgJ8T*YA8*N+I@ya#1gWCcCezlvb$IZwhwcKF&%S{$EuH7x)
ztq3sSy7>E0s|+e_JbT=0m=Wii-|VnSCSZ%-?!xqXDV*Z(nTao6qklP*`eb?30wx~*
zxc{w30@Z7^hBjob(0`xY@3UrT0hi@+f}DB9v8>md!8CM<eyj4SKjSrXIDX1L&CX2}
zrx(aft*VQ33SYXSeXAKr-J*0ee-Xx<*9s}KK@0Q;@5nCg3TD6^oN|Hdj1V@BR>WNL
zT%hk|T{-OFZwkDX);^#ih&0h<F^{GNdgEty5u+v(&=<R9%gIGTO~)@M2T~X5TW=PA
z8d5a@UYU}v<6Ht*Y7!rEux^QdY;smMF5DQNHzvQeaOOinXBJUg^A&p7%!?iFqed|N
z?y%a`b{^c+*~!>6{g2Ks2O_5(jexas{%_)KZoC**!2ha$jqXU=n*Q#MA-GQxdwoN=
zurn<?`2qtY`m&yl_0cqhPqx0rtj{=+&B7}CoeC2!XBXvNOf!J3AEkfzF>vBlS;9l~
zC^OoM+%X#$H-Nc+K_TK19Qf8O;1Ks~791P6c%wO9A8I9xrGm{kuua0Q<EI=OhB68}
z7>Mb^yGY@WSEV?xk>zb<U>Z9fOD_9JNzntA$c43C3LNM+HB}*I#ED@e8$NZa=)s$)
z*FU^=a^S_$^!EQoxbW|4XTi1-UD&*T``W!s4jlW0=bjYvU{A5of5lsM!S#*2?JAiQ
z4_27&<9N)6R>A|#Rzozn_MPAss^Y}6`}DUe>=8i6Pm(E`VKlf)XC8kL#)YE&V<>%w
zgtys~G)q-!FgL^ZE61A~dl&V0ol6qLKlZgNCaqLBVtOn6;RPOSi|YSZ(Jh2Md1aA8
zVN{@PQyLb}<wb|tZtHtg5qy7}?NpH|6@08a`4(CDu``R?<YAg9)*4^9ma#;E<$ad4
z=T-u^dOixh)x>f3f^KAJ6$O}fj4^E#BVj5Jvwdiz1TOG@fATMe0&`mGvx^LZIQ%9*
z(jr<4{dJW1f1RK}_*%!-cm^R<7&@(0@4c?y4wtVQ+bGa4y?=T@R2Vl~>$NSNki}@>
znuA@Y6zD$Y%KdDk2s(Pcua<o)hsSg22C{|}=<_bNNxLbE&W3JwrTt{&ewGop11Rw2
z%i-{&BVzd3=Tq)JUIol~^i%i8UJ6|1F2CS$SOUksX;CFMD`HYOZ`#>V3do&Jh^U&D
z#Gd@CX9I65p@(-)#mh<xD8|<=+NDTi0D1A<_5o#7bcp!t%}<4kwYC%XZW~b5r<iub
zL>1+;{*?##QQ_z|k32#~4t+&zM-}g>VaSOO;c2r}VD9+3cTAX!!<fLbHl>b{c}p!(
z(KMir1TN%@$m19KQ1_dSnwTIpeJRsQ7rv*0Tda%%YIR3Fs0i1>Yp09(M+EgitZ)A6
zjG7|u=Q*V>TcC~Ci=4I;tm(nS?eE_v87iT-W#g;fQXP~#82vSd!vOrwGrQikQpTe6
zVOhQ{6x{J7qm_MKFN`YkQdYJqDD0hC_b!Qo&NrW)bMZ6+3!9t|?&hk<Z(ql9wVr~y
zG;25aVq@5Ni9%51)o}U#&qi7c1wZ&)3%e*}3LlbmjG}+5;m&fW#GL1p_4`Y#F~Z*r
z#0?TJY)w{22R(YZ`hE&dnGH>AcbkLRTlK!PN*d_9|LVu9B|2#CWLKn2BcOqs$1O8V
z1Cym9>UOzmqteUj2j5Kq+8)(Rg%)Yxet}<?nzJ=A^48_sZH)krtKuYn7i!?;EItXp
zm+Cm(xZ{4#x^G(qS#3WWqJd3?mbp>Eswg}w_h+%#68^CzB*;r?;HU>FQBqMEbx)X7
z9bmTtX<tVHr7(5mKRoDksYn4!ZJI|i&8@)M!M8{l)vz*3{>ZEi8SNh1ZyeZX1?Pg@
z>RH=V(dXeF>HAGG_$~C!Ny-5$sCT0lE4)`h<MY%scSi|4xxls|!_Er2<0|{Nr6{9>
zQJ1i=rU>RZw{tI%tze~T^!ZCSCETmf-@9>Lzvr_hXRJmnA+7&S#Yr(moO~M9$!5oc
zCv{$Czj|y5D*HNG4eR7FVd{mFY$_W*k=xVl;b;kOq!_AnFOczxDrfpo7bAKW@Xe|$
z00e&%PAb-sLuTa+amImVIz2k0G$0Xx<^3~VzkV59{W90K@zE@OEIi@LaYKNlI>oNS
zOH$Y@E3g*&VUphWrs}?JCIJeYqjNHiB~Vtu!K%n}l<qpudTqSd0xl%JoHmgX!%z9L
z?*03R=<+Se6UAZ{z$dkcvkD^Xda?ZQU4D>G0Vi?(UFMMc^dD;O7DBe!?;BgZ`{{d{
zw^aX*H3PC_^+AI?63!j3?CKlqqd(tOV87UA3P*;Pl~SkzXvWN7<`&vdm!q`Yh?O>l
zn~Pad$;G@le&Fe#eBS_FPOPG0Y(1xJeX^u-eK$Amj<9=HJn)@<zcpi6s>~Qf4~9(G
znQ`LWLcFw}=TG{YQFytWfH5TKt0i|FW5<_Q6#ZMBM(8G*;bmi9Mv$D!u{6=limy#F
z3?uH2)03Um#XTDg;dV%}v9%uyYU)Pc_TZkRkG%i+;exgy7>j4o(|0msgQxw7+3*y7
z=Pny(u6qV>0Jr+_yECDDZcNjrZ-42DpcKo%VgNO}6WglN7;*W14O{;3EdA~4pbp#f
z`k-GBm%o{t5qqmnsgk%B=<`@q*)XaH$DZ(YhNm*%q)xTJnbi{g!8Nt0pd)%<8E}3F
zeGdcjU+Fx?ac70@d8sqXX;2qtsD5ivdJK3(BWGN7ZIymlYv*3OBf4N!_Ve&GjREic
zjQGJ`!+@^}y=7cRX^>8O*KOy>fXt@_`bMOfP+IUc%gu8%$m_7-c8F%cQ-NCsqpvgL
z)W?J;157j!KEFR&Y=i+7t(zW2v9n?e2XFkDcq-&%WE~(KX2cmm8_lvuZ20l&F(W%o
zDu@iW3o*<wV*lm3RQbIec>dU}<Xg2As1PpGS;}O>dliAdd9=9@gg8?7ds4t+Po?)U
ze`XY99^5jk%!4JGRu<#j6mXfiX|Q;N1zk(a<05VO@aSC6`Ef5D=)b8-Dez^*m0unT
zuA2q0ZmOd@yiOaQKi>YjYh5RWuC!;>VI&Mp(w*5))duxjRGZZab_}OcydHE5;t;!0
zo>hhxDDD_?n{wmC(5(R^5qn`wu=(O;qN)WBrcujp7rBsjr^3;zM+8}lsnLF~HNk1h
z_+?cY54OaaYj@rh!_1Hy<A?WZ!qyl0*Ss?LFtRA9ICj4Ta=7RG&g9etoxCQ~qC*16
zS7L9Pw^Is>dhU9fH)%kfC{1Y7I=`&!o)2PYWbl`Pc<+g48sM_`&&Pe$f>;(YmFV$G
z7WsokCYqBpVCNM_R#z!u9AT6B>LNf!3m+GSz;%4b6gej=Mg+|?H@&NImB%c;!<WCc
zX+YEb_m5!;VkkJ$C646^7;QXa-m9PqFApU?o^2CH3o9Py5FI6Kzq>?jPt=4R64NuU
zo=T$GSO4nZB4so>deriosTLe%s^DWukjDP&S8R;7s-j}zf0NvN+Hg=(;7-)j4cOS`
zpu0A%hG6YOdn>8~&IOMz#GjBujrJs;(s&Jg84wi}p+$i`Yuje_Mw3x>%FX7fg%)lS
zd*v=LNr6vA7TT_Kd0cof`ChS48{d|*3qU&+ifscNm6jB+*1qz@HUkP0OHqBFdTEdm
z=0D+Ps)Uk1olfXZQ1GIo%ZVgjJ<!!rYN`lU#sbe*k?c`al+K+tuso~}1)I=rpi%`d
zFZOt}^U_c)>!R(44g-*s)BAN~RuwNUHg?;4($Lxepzh{VMv$r!Tr(=Ej`Y$ue>ca{
zFt6^{-Eb)r$Y5l8xlKg_>9kV6;4m7(CgZ;OE>mc%G5$J9(!^TEqLa3!G{m635lk_M
z4V1NWI-fPMDc9HiQ~?z=1+7ihT?mk_KQ{gI(E46a`pElhgo58Ul}BY=0m#rvdLvM%
zg>7F&GD915kh`71EzxQ{?}U_)UFx;4|E!#g_Z}@gJk7h)ecTcvvR!mClC?0V`7`I;
z+v@0^Q1&S)zzW>2XGa~?(n8KGmerX^6<kx;UVi4g6{v6GxLg#ZiIri*gs!(Do{VtN
z`>SpZ)m~3Wi8u|6&*F~c-9pCSlD+CW4%Tq1vg2L9uR0!9EwOG1k;W8vQNv|NYl!`-
zdTWD{8ZJ=%I9eM;acFf*;3ETT82-c`bE8NFw;cVZ9-2tPEteLOk1<+<YWM?ZF)d|m
zlD;V~Jj;n9%T0RRC00;j&lepTzkbiSl=}9s`$Tp1>ArpYt-xQYy^?8R{Xcwey?piD
z96i$K`RS%vOK4TQXc4oYjC4wyu1eicy7*UPQ`c}yIIwNfK>4mLN>ivh=AQ59)Q<(b
zwhCK<s^)N!L8LT}TpK&{N56&e&ez^z_7Ff@T)5$D)_R^2Wp5yQ28sTf2W6`20A&;@
zJLA8i_`+2A<rA$@qCrwSdeNJJS>@<6Hr~Q$e{H$2TksFDD!y^_z)cH?aQsXmiwUCK
zP*?I*hAH9_XXdAZ=jLE@_hwoBFhB0e)?~k*KSh*mvK)WZVFva<ruDP&;2y~cUbWgO
z!a8r`b6*ZKDD6D+{Kz#96j<KT@Xl+BP`f`mqX?$3<R=x~euxzri<MH(mroLbGZL5X
z1e*YfHE5(Fh6%&&y6a-bA7W3&<(j~^#*nh<g^_?D16mC8yq$=iAl~eid3T%77*s>j
zJo?I(>D+hotB&j#Blu<mT!Ic6LC+a+nYPY(I)_EwbO_4`VOnBX{<p{w93P&&w#j#f
zK9|;XacAXEVrnw)Mh3|cj&eo0PWeyK=jzNi6yN$m93B09(&4NDw2jF0*;h}{17ELf
zKj1e=B<*Xz`=Uc1TzOLhe_M~xC;0sfpM>=jnwQvfZ(8cZ?LTg!VQxcoqcr0Wap%4f
zw@&Fg=jZ8x)0dW0eyoG^17Zz@QnYSj;luXWDY71vMCMRmTldm$=>F+DWYs}zeizKB
zbYB<r)dE-g?7Qe(-Fq5xpR^Iorn{|_1a+ZaxF%watDU|i`$(y7=V#(iZmn(eZ5q7L
z2#Ux$+CpCmkN9+cYctUqSo4vML<7^3t5V0JKhovyZhulmY9wYStA}#d_u9nuuBcg~
zTKX3IZz-MJ4MfPl(|6Kks4&FB@Z~^OHNEyt_MU-@wZt}u48M+N6zE)?d%QiYf`0Dl
zE9Vxc8ltt%Fj{jxr?^P0Jkx3|rr%e-c|;-REz!z9!73T60}=XG`@;oa(l4-lZ(vre
zCR(<g{Z~_}4F?R|54RXRqd#{wX!ho)B4nRCi0ck(!3_x~R$<CRI_0Lav7rGHJ(o$#
zM$%f){XOTNzH|&dPqeMcdOMxiE=VfK->nInvZAsh?#Jj`gBJBOaw>@`jazZ&?rK2F
z?9x47olwGfP@yzCu#!0AWGC;|sSbVVwhP@~?+_(Xng<k0DhYR{y(~M(>g)4LmL<PW
zA-1O1+>O~wCjxp?M#yK>;HuDkwORNRLb&$yFAi-a%uo4-6;`RjL+2;nth1SfVWZ8C
zoIWI+|AYnq5?_B;OS(~FolER>9qg{dDq^Mfh0lX?Di9vWw?x~RPn@u4F(_%NCZ?i{
zzrJi!hOE+3d)<=-gx_e|K$y@wg3m5YiPu;eKL2w&I`FWN;O#TKJ0D&{^sBetj(Ma6
z(@m*PO{2vGr7I94skOwfiH#<5d`b`@v8&d`sg&@xayWWPsGhjtIxX`kSP}BRvm^!l
zC?|H6m)KWQKM)mx+jtkJ6+m9RG$s8>B@z1Z*jG|)BN0(DRLFNy0S=yzSCeT(;#_Ic
zwlJw?;$7AIl=`3YP;j(9`^xcZqRr}G9cO$CLG~!43LcXOm)**OsjBY?SLvv(dZSii
z=gx+zmSHj&)tz2ED)^pozvW&r$JI_ePz$&{eVPm{vGFnL8g+zy$8Uxm0v!Zr4AFIH
zK@R3-rGp9r8VH@~{oi%AcM(c9Qe&*w<luywMUFjVBjH2Mc$3u7L*(U5>wXrN1HG~4
zLqi`v5h|Y>Vs}LL62CGfs*gFy!q~glr}%tYh~Ba8FrUVLVrj9BQ8#b{OeHK&>L|1l
z8()9_=XQCJIC}l!!SP%f2vG2~U}R}03c`C%7P|c)*xU{7U-%&n&xDq;UWj!NCkCG-
zyz=`=T;Y`qtszUpNoVWTIgc*l&gHBfHnqcqSz*cx`VlE`U)9=W{-=i!S@d;e*f&O~
zD9hL$crFPhpVRA;v6qmP-!DVx{wB=7DhnnpOF(kpRo%5e{e;;AC1I(&Nn+b2z4{9d
z62LOmlOdinNZ|Bd>UG~~Vq<1@HfNSNJaBwgADZxk7|`3SvwU=h7>`^Ha_0~Sy|9es
z!jhlF6Y_|pdfXgQksrsCb4m={xj!9zFFZmV5%f?yv9ds9^Lpq?b%{a;`~CULh3o!!
zN<ZO!&N2~Z?U}!}MHH@Y&q(!2{Y^-_$t_4dTP5zP4R%z%6@i25DW^jwCJDVC$$_MQ
z4B)tT%Cpy61m=2nx;K<g6RG68i8bv^z+N)=hU=p+yn3^FU~}mVaVX9FO2l^-=qx=`
zB6~m>OkP)M*G|n55)zL3TQu1r<*8+f?t&29wCHXrII&1jKUsaaSIh|m%tmrgQ-#1;
zuWnjHb%oey`r_Wx8$4k80q50s3PJqehwLKyYed&?>2rIY^F#IiTo@4+0<}#C6=Urg
zA*$_AvwS=WUi6c`+!zsrxd)Z}Guq5BI&?v)H%til^PZ==v<gCi#zg*KTUPiV00960
z6qk8CRBs!`g=`UHW{iCqW9(UH24lHVC`zT2N|q!lDO)A9SRzr%UWtgv5=siW6Ot^Y
zD6;&DM9MDO^v?V5`8=QdT+j2I^S!QXa_PeH-Xb!Tl{v2r=n;nupC@lOWb(s3{)nO7
z!jf<mf(!c=#o-icmh0#U!LBPw<0GZgP$<4i?YS8d9NIp~Zx$ATqcU<yBI$CV&V4Mq
zql^e1+vVN%$%?_8*A4SxZ$<cX`wCHi2MNSxU;g4AB!JMR!}Sa5RA`G~wy0Z>p{1sN
zcV7n)mhF|?$&xha+Qe^Z6f6NjE$2pRX35~5-fWzzPlv|YftqkZN$Bg;JhFMCB#gwT
z=>0vZ20lGC);yxpa4?TmI`B~%9#Hm(+ke*pW$TYclh<T{e}i$|j|w>uSnoEnD^44h
z9~6znzEFS<IR8$-LlM5FZGI(8(*^%EALV}cD#5?MJD*4JQ^6sVl-G7i4}LdGbv-hr
zfuZidw#=8x5aWEE9nEC`J0%=?j>@V6t;oSLu1E#gg7uOg4jDqR{E^hs^BUl2nR52%
zO;yl)bJ>~L$N-6OlgRBC)_}|r=I_N@>hQ+WReWTT3G-}~vXm4(I6m~w=R=VuOdst!
zUop#q4DNGRd<+etpdcwMw@@33<jj;$+%SSK_ep++GAyY3b=K*2q7Jb173$CYX9Q0r
zteZ?tO@Mg&;b&&9E_AH;Z#6032%i1;sebaT8Fb&CTG{Wa2Ls&i&-V|o;1&0u#U0)N
zKW$m|;otP2*!II{^cg0oNDNh8`C|#?uI%&1>-6Dz<i+pRR}4WzrMKd|zcmb4jwCSM
z^`X)EZ_9DIJ_sD@1a|RSXiBWPU1FpUN^*OI828t}+5n~d8*<md=s%Kve!CuASG&AA
ztxyfFOAS`(+1r3&(b<E#R6S7BP~YiujtbR%KaRxY*no9meU_-1F03xIJ#t503jP&2
zIQ13TK*rpw+ntVUAn!2cwBH6{XdrCT-gC?b2*ra1=KY$m%ldVF`|BAClgA@%_qlE0
zhnoCOca}N?#qYnJM47CAb*bC3)^8oed*nZ2pP)n6-8j*%@4Wc4_LT2MTniObLq_hE
z%J5i&S=JjYird$Ier&|Q7M|Y!y6V?YMYu)JnYjIci2HU;7#iAJ!?;kA*JOn(&^u)g
zMx;q#*3iYL)>p0Iow9ih^C1QJ&(<64zAA~n^oYjRVM`d9x00$7Aws426UEwIDNN(J
ze%i{y5-QsGor6z_K%%#^`%;QD#_+~OKgtKN(~QoSPF@LQUs9ylcWHb(^gP2x8er3d
zS6x4!|FJNz$PK;tR~qLBatmMTTfoUP0kdgWrYz2=HnZo4q>*{>a!;6zIn*ZqDyepV
zWl=1U(VkQwjRS27q6L0t!1uPz`u?TfdRkQFbGv=gxKX3vf?d8T$oIW3al1HGf7U-F
zdB40g{uK8VjhJM^uBz)}Uo@8LD^eZ)Z2u^QNvS5?X=~ZA>U?HoK<U5wuQPo8>nfy>
z74s*YT3`YtBm4K5GI?-GiANzjMGBKkz0$@=CeX3U+v<S@ABwf`Uk^!?!rb}(#;J?O
zK>BxKl*A>7m&yj*-)2dn*M*AGz}3bOnm(NV?c6F1FW)7w{9FpVpL7uaOE&^8HSvT`
zT_U(D*~m3lNE#QLUAkH|jiBpMX?598QJfQu5?*;g8owLy?wxFAfzT1Mh&UGk<My@`
zhz&^Np^KOMX$M(w4#koviv&C$aN%jtVHu2)-tluEnFZC0pUs0mi=*ejr}$EmEUrj>
zbKp@66XJ?D%x~==;*;@91o3WJj84g2wvA!}Thb@|<b4u~+075P7t7(xUO|U-c1+kw
z?I-QbB;z7&VEk*QJeD<{I<rV(!oHC9HG=0PFf1ye*Dgx|=^~bKm0uZf_3pQA&VCeJ
z8*p;`<t{}Wbt^IW@PYwejT^=vyGo+aBiV+6DMc(x*{l1Zf&s^v^OgIzNnw}oaiy+{
zN@%@iu}v+X0qJ_dTE<(YF;HZyt(hJb-@KABvB+b9^^wW&)*UjacJJG>;ty2xxAil)
zUcvw)6SkAvepyuhoETYpK^f0o3Hh(4fdMc1Uc`M3mBUl%+7ij8G(4I5yM;KyfIG=w
z|MI8H<A%|1j}A}K@JPv6ov=6)mMfKN7Hbr6D9y2*D@O&7Ocv$-c3{G84bf9=0gAYF
zW$fY3O?2E@vRzgxg$aE!tfC4*B`jTaTvGH09WNz+QakaL2{DISu2khHVY+$oj*6?Q
z=o-}W^S1*F0<R1d6d6-7X};0w7)=dZWk(%1*0SK1FKJZs6%}_#nsvX=Q^VqwC4W0v
zMi5yq*_pdf8GE?gbKD8)$SnM^KI4fIY);QibC^}e!8k|id2e+zS`ec7I2yxUTGBKt
zl!oK~J#(JVR>z>r&rGt%jKT8W$45JV(r|@Vc}h;5I@WaBlGn$Yz<8O=(@TCTSZ(G|
z&HGp#pCk(ziEFW;M|Cow=B*00-fHh-C#&OtN{zDXYc`-ZpKPlZ9YwD#8ZqtF@!~*s
z(#Bv@5dCJ!+Yv~|Lfd_eo<TLdDc(~%L^6Y4qKkXQ@6a*Irt*rwW;OhoE&q<E#0=c8
zZfVhJp<~U>NuTy?RjjE9C)Amk1DBoHko+4uVzk+D-M4hSNu_gJ)tCcsLtnHlXMOxN
zJwDw@6^s#yXqC~j03G`7i1-3Jw!B~VyE;chg7Ntcmhl!4asRD{{V_W3>!dL5k1L~p
zSl6QFI}4Z&xAosor{klWvkvAxRQ!d1Z3FlLgh}so*0iYLCB?|^-<~KTujGt7j}*XC
zV`SLAohlf-eB#CWLPgwW$vf|=2r!UiF)rOp!zAnAD_;y1aPfM~RF53MvKV`&*nx($
z^p7c@wB_)Se8JF90zl2AyI<A=W&CQTcuR4e4BnISD*N?|qrb;>Fit`lsl@Q|qBByM
zD3&Sj*I)tjLyq4B1E?5#_9S_Fgo4ilA|s{4EP!Q`Z=Bz%gmmk(*WLw5;J)AF%^%e*
zU@$d%%QLDH1|PUf7}g_W<@e)jueX~+dG24O)G$R%(HJs!lO^E{_r^M+uQ{yTS!BYz
zuYflW@n>cl5V2})n%vx9GZ0Hxs8<S=$F!)dcDWF7^d0slHYAvVh~Un}iH&mTe<PFn
z=_3JWO=--JQfA;=NS_zimqkCLenMmr0R<Z#?2gMd1&5ru<xDjhw4Hgh(N~jzZ*A*;
zwrQF|$Sa}>#XuUjv`2<d@(|GDPws4HB^$DM%KuhwmBQJcskD>7#V}v>zI6ke4fYOk
zjn=V}_^!CXCRvn#cIRhkKN?Nol5`)x{aXs|;13h}Wk$eT8F4mUjwW!+`1M8+76mQN
zYb@tP5%9Td;>=*bF}#aBW|DDF0ww%bC^T~Pf5@I5O+L)w^U02(Hz0vKn`ujZPU1Lt
zqioFmpAj%xOP0@lA*1JRuaH~4;z;2u`<$O*1npKSB<DObK2cwvKnftDrm5D8Mjaz4
z@2ArzL&&&6;uzD5bI#(ag7c&f7JSa_wj9|@Mxg*x#^O5?I*4@mOdn-IbGION>?Y&7
zzVV5@oOvBB6P5QQS<q9y*M6NJ84tWW7`*wc1m4wD%_whTLjD%-C&O3BIN?63c>M?k
z_e2;cY(2q*0@B2YeH$4=#%M0I!;-kub`#f<E)$%pW3}m05?FqRckazeDSW?rDpYuy
z0WEQQ&PpdGa4s~x>uQ=b9{uMZzoLo(6fRSlnF$HxUFzwuXp+H}J3JAaBN^bUz3aRE
zF$(h75vnt}<xnKut~+!m0}iWnlzkD9#7*8#-j<H?*j#leNQlXR;Dx8*!4;C|(N3+o
zUZj9s!Q<XZvJB7;b`QGlCxst$18m3R6j5NZP^(aw0bReUPtO@k<C*9FFZ<RiVRFXD
zLo<8~NFB4%{3RiSzX<-UT`Q@$aYp^K2xon!Uu~EeuPjbqRul1RrQ$z|)wx{G{OZ}s
zaX&6O+!!%qRenVo<Gm}kZ!=~<58t6!$|`xZm;F6nx`&3@X`4JBdotk4hjm5WR0TY9
zd8R3Zu7drg4SXIM3|M!|Gn1sOh^(N=i!Z*b;Dd$x^R)vED3|(>nEgl*%|A<4uDVA@
zr{_VXRL(h%#wKlEa#F%=Px(659aP1&+=p^&E;C_ET}9BFX(fyg%zC6QrH0nGP&4!&
z6U?uSM&D1QVnd=}x!fZ)<bCm{M>vcHJE+&ozGy0=?|)Gtn{3oEMErf->y<`8mW|Jg
zY*xlzK5h3Gwd(k5HoK+uni1$a&pY~Y_T#Hrotq`8fmcXJq>@dIf$}Q-&E5$b-q<#K
zc9pXRI^8T=ave2>rJ)>y*`q3GpkKmu_m~FOu0Q->BGm+RPEYieeN{mr)!yetJ{oAy
zQU5yKo(;*PV%>_)91ic#PT?}vzzq#oBloW`g}Ra%_6TSHMh2&vu6<O;&^}|HRS!(T
zuK)bE<|R6|G7r2;@Kncgp3+^EeP$4EKCIKPsfyg*qW5TZYIwDM=9H*_IcyknDNnIe
zMGyAbuGu+N{Qk-yC?(q*l%g(Ayx*vb@%O&<JQY&KkyyUxmpFVY3KlRHW2@qLV^OF-
zA01s7MNylwEg;3UZiXSIip{=*x2nF;u<3yO_U$VG-aWe?_`aQvG<}Vsv1iK2^Lye@
zqAGxH+y1K(!F1Fo=HJb_LPdqAv&CLk0C$A`<R$ad(c<|+{eCwkTyLH2j#~gu9gkZ+
zcwPnd8@$ScbQSUTa8z60c7X5mKlh0)(oj8dll5B(d8`W-Ic4YwaJO(ki|s<gIJfF1
z)>j$K`(R@nYYyQ4%3Jc)J!K5{sED2ZB!!;?3vFs?0L{{VrFC4&Xt+s%JjW-Aks5JY
zZ@2+U8w{S0*;DbrhrClxyCiVotnly0l@@TmN6}v*MG38j*B(AFM8fP&ueW{MEns27
zf4px{5qG$aIs8r~VuV0gpwy%}R3vz*Bxow)+oNL@SI&rItCCUm!3c90t4P!f|0RzT
zX)^mtG6^W_naq>HxfjX*!X1y?mBXF6@#|I%iy_(V?65_m8Q4kQQW!rhi`QOinNB#1
z;f&$<(N-}tC=ZPBaIus@UmapX)Tk&f-@bh&D9IGu|KkzK(~w5D=++Hyd_^(Nskd_@
z!4!g|AMG*FkiuI3sRQTrMDb0K`VsRaHXL_)*u-loiJ!*Lx0JC&@k`p>m#f6taB`u3
z=%GIai$1uYZV%ziNt#`7O*Vn9Giw5FR7v3N)Ih@IxF~ugH&!%Cn!vRcj)Ki(39NhV
zq~&TOhSkDc>uPTrL$b48u4n=oXP-pVpOlDU{qNuP<?6<ean@W-UzUu61j@%mbppO_
zu^ZxhXaq?v*5_IqNO&ek@B8Iy0$NAB@FLq8LCJ%?re0@AsBingvE4-+?^tE?>2vz1
zj`!<=v)f3hx#ILxf-n)eL*0IrhOoeWzBl2PISKdv^b~b|MMPDf^;&}@7SKNXM6BmL
zzgwm!+m}beD915fVl@+*k`8zN+e*S$YgoU2#F4QoA@*;cI}=WJhk5J_BjGs{_0M-s
zOW-@**ke<xnUGTzVK(!Kga^o)A6LXs@WfZ!hufYp;Kpk{*`QS%pYoBrt8haS3moQ8
zn@2D}^ZJ(Il%r%ch%OLRYLddr4+o?afB}S25gK`%jK%XNJEWI6ePl||B|wk?gN3`&
zA98ZWh|VvHpq(t1`P6NB(q{<mY5BP}L<*knKH}GWOAbA+UT?a3-w@dDd>t1WDHyK{
z=1U?9cr1Fid19I&C|aiJ+i-l`k2mDxnYD^I*I0MYDasJ!o-yBP@BP1y)`1XCjuv4&
zj=g%y5UisYM?S8T#>mTh)q35W|8Zh@o;Sh}y2#YJ5px-g4V+eP%BP}QAi>J(q9G(I
zz|>`qzC7j8Lw~}QahgdJ^Di)j_=%^~)t++beMsh#qcaWtN7S{3It{^v&qHS21$o>^
zn%&;3tAe%t2YdE$d`EEfn9Q4c1>EA@^k|b19kV^j>oe>bprKe79dSkxd&3`HTN<L{
z?Hi{(mv1tlftMZrT15%TDg>VLQdL~N`*q+L4-?ELkL}Iu;P79s!SQo|8h*OC;1+zG
z2})zZPTNjWIewQvm8GVRdsB}c3;V@{DGBBa6PhyGrlr%8U#jEEgJEeA7g@l~uxhqz
zS4PsGM5fga4P0-3TQp6J^BvmyZej<}u=79K0^zv^x@`CB_3JeP=c|_I)5KKJ;bq#b
z7zs`Mz^8vxJINU8-gPn_+*ZMx57=u%EH%;EBWWgLiwTs|0v6iW&{0I@-K5=GP2582
zt++s8!>IyCJwhQJZ<IyLuw^x|Qa@+I%KzBF`)WD3mY|B-KelGw;JjC;(>L3?z!dsF
zI;*q1Rgt=2+#+nl(R0XP(#6*dsxK_4>*lHAHpfq&)6&)P?zw4uYpOXsTimdx<^_k_
zXRD^Vo~j`|Q0{_ghdE5`)qa1tTNPtt4*h9wQpM4ujAo**1-OZ?boOsn#ogV)IL*=3
zG845!YT5#1TT?2pUROmYR_3FcAQco~-!!+@1?cE=p4zcf6;mv~NCauq(CGWFUFLfL
z%-o1L@{5kg7LL*yIQ{XZWYTcZDFFKY!@VnF=(zn^VYB^tB@}I5tJstP5Zyoge#IXZ
z^o*q3-NsVH(6xWQ9JvYrl6+YOZYsF@+`Limh#bbQsO#hBtoJ+d#F_s-4Kq|6xxK<<
z@Oe(h`a_)gY~vgC`~N7T@{bzX9p+MKv9#}bfg8Yex%2-hrpoxV=6Gm;9tEFX8?ygq
z0<cFjM$0>dicT+XN*nGXV}Q=1)R5Hx_LrNu14@<fQ?|i--Wno)7}NgC|Ih+DwKb9Y
zMG-H5v%3_wO&l*}QkpN=SU`V0f3yTA&y4f?Wmc*XP|GiPu9(vcFhYT?|3V&99>jN~
zYl)!`t?A~`P3F+=q7!JbTMnzv?D-Vewi?HhSLobmH3P2Gl&YkEGWfOF;%Gva2x^h^
ze4bdF!Po1>8|tg2@syKpRm*c>{9=A-m|kNFBL}bTe-<l+Vs|#ay#>Ok?67oyUe6Ss
zkf+y*9FxRn7eeaFR|q3p=!YkzkPT~opV*odz~NU+-_a!=VJtp;z|UEU4LlOwiXRd<
zdG)K|B*9V`HGKc}?zm<GZyQfLDLmuk-sjCf?JI?m>-(pJ`4kg~5&7HdAWlXpt{1QF
zZx=y<Yvb!5rW(VvQ*FHLDH1yC6;#X9R-^l3vFMZ}hyTn%CB?r)Bz86|%E*YKw_7_k
zKg$RVj084yq!E$6!>8nzj2J518a<(<W&~N^@6IP|AmWS)F=A7#7$)4WZf$$O0)5Sj
zjrAlVvfDy8cKQ+Uwn5V7PFofPjGsL6Y(X6DZ_FC=>vDQTYQAjPAQKu#P1bUM7e_Ta
zYE}(55$|R;s>+2jVQIUf{M1izeDgQ6WB4->B{wTmxn!8Y^>}e)l`Ii&4Kx<s>?PrE
zV*$#ErwrJjXeK+cm58P8iVNC<WLyTl$w5B`IOG{O>Sht~^;ntzr#T6XqN#PIDl(v|
z<f_gU&VFyl^&XRvkwg>Tvk|K}JePPF|NiY!67G80Im+B7h1&=>gDNu(VZ+x1cH1He
zZzi4ajJYX|Q<qxA2>T3SXoqx_GpCPaxXKW${>osb#&lq%fgx166nMID`qZY6(Waq(
za`+=OT$d$c2z7^pM;@=BAk}R_g@0NelMQ`yY^Duhs`3rNwTFTtw;WHitrT(AhW0XJ
zzyQ9CR{4;hNFpzdJ^6>EgulI3-&p82fT++k<GgAqte@KQ_V$z#{x|%`U8Bzc=o?*6
z6g5fXv#aLPn_g3~{E(;|VZs2mbS!CRjmY4ZMWNZp)ynuyuQ~U;pdl34+>NRu$zf9z
z{lk_#8Wx(I5jey&gzo9MYOd|_cu}urX4MrHOaTw=%K?U9J}L4=C{F>M4n8_~@H8FG
zd%5V3pBO^UCpRMzjxUsZd^+sstBQjE>e-1h4B(!BTN!4cgsJiOTN54BP|LyOY;+t0
zYQ!>5FMd_Rhkbqi4K#Hu>lq{W3ov1$=-HIsJSyJRt-ciTT^*GiGovChm~hXUHK*^U
zj5aQw5887y5c9Y5|1e>}vZd@)6NQFL3my4~O*QfTQpfjg-&nxBRjVV|M#INe8Rr%r
zYGP{O&>*eY2wr`$V68c+f>GnABPB((Fxd2?g3AeGXk9XL)|RE?T|Ot*kEU9vV$ADm
zyU7FuDZ|O{%IWx7^OO~znHC;vzZO=g!3J&0mWoNHDxPTl9?lll!i><W2StLWz@M@f
zt?sDe;yRs(s5_eYsgv%q;)^Lv>-cNF<yOPJ6NmCn5;XC2a{F=e6EmO=9fl=qHH;PU
z%ROnQfx8q^zv^Ew2LqSH<Zxd#6e9hVeX>~{9eWQ1JmYZ8Q>bu#`!O{vOMQ8JqmCNp
zK9c0SIAsBg7kxzd_NZZWmc7Y~uXIe?%Pb7!;MtsUO=z{68vfC18l%Lk;3lK2tlu0C
zSCWF8GI~^z=&GZ-BuT?>+?D)Zg#glW4RdtP{UyV|zq2=}=uy<rt=j_7Ro$L9@sW<3
zxu&%Wl$7wh`@ff-?*UvQZPwLT(=nO%-=9;v6|kg4A=$4FVD3i>-$;@Q?pm3*-uj9x
zy6Lsupmzc!d5X01zoKE-kz?@#b5dCC6>U=X5a6wA?7O)YH0)i7UaX6wpxY0#J9|<9
z8i>+fp`1RLre;tT$>IOS5%+{_UjPNCeJ-0fQ&Hc=g<Jk05kvRB|2)S47}qcro(WXK
zb2^^2<i`YTAKbJre$fJM#V$0)W+-CTC-3~p^<ucu_5n}-2~M9%42*0$uYjramCbaW
z)tIK3{BpyrIrzNqN&Ng(4zsh`D3KPzDBWgumCM^4USA>%y1C0@$a0)~f2|PqFN>>v
z=r)7X6R+)pCZw@T_(qFymLML!wEl=c#}__Z@*ca9D1`_6eYZRH3E&>1BOg}ZGli@2
zIbZJBOX7UrkI)r90@!LLGua`_$q$r|`(G+kP_T19>#Df`eykh6m~?>+`BmN#RTK#n
z*-Wbxa27zLLdF@9Una1_<=5#_RWb&_>fJ^K0(fwID7@#837ordBK4*d3A-)$!ar#W
zB3Pde@%qmgJinBk(Yr=OLrv2o4+jOYrsM9i)J|hK-feoc_pdl6_OvuP)d-=>pBL@x
z-xz_%Wy8MlP;nGFy*-EVWEGm;t#xB>HG&8gP{}5U<MzPuEhQtucyb}2YfU!`R-OH0
zs{53He3B8CFSS<V>7&==-1o4+ll6$!5lg@c$KPHKDWbTm;oURAF(wo)Rh2$CK)~Pi
zql9OPVwm|rRp!76CTM1RoYQqBV4&@HYN00q6OdqACBg*9Evs&1`VcT|4J|#~MjUf4
zNdGpz!+=V)sF3|}1avd?wn#Q1qHNnI3fqnWN`^-#rRq6;@BD0HzXb`2fxLP`lZMc{
zRawbJP#h0*uX!J{os0rMGFGnOaNdNJ!tOsHj_v{09oNGp@SmgJOr(P$wC*764eS#~
z%euLaZPgUSO?l2de1;H3n@#5NAR@E4X=(?b6jCCqR{U)?fQRN<qmjRfXmH<5!oo)y
zKLqF=|9i;*{#z$_@Mj^%x1?SgMi0thnXsWsj)wu<e7Ms!;4m3ums<;u`^w>naM0cq
zQv+Bm5Fv3{OJMoU+<i1b1-vnQg*!vZ01hqbl$2>x(6!#b=GI<Lj~Edy4kH+Vi{US?
zvs#kKC>xqfwo*dFulIDRA_lPBHt)XILJ9|7^EJ2YQ1N~`591Ws0Ir{7b_;t;<K2g`
zVje2WSTm6l9iwRgCI$NrQL{Pvc$c`isWgl}72a>Z*#L%ON<Ytklf}p33MI43oIEI>
zTiP9E0FCcFNpbe_crd&pXHJcdfrajAYOS34@XhtiV+9;)=ngepql!wq#{RIB452>z
z-yQDjiYRSFT4}4RhDwtzneQ$bg6^xYy#4M<I2Y$XETO56C9k(WE97UuQRN-g8#So7
zi87=zCZ&NQ$uS{9=?u6yo*jDb2Ngv<^K;x5HIR6_p=y!MguvgXwsy~yQNFWwWqO?^
z-t>E*vNX$t1pC%fkwh9czqLDI<E@1rH@m}E)Uu%4exP>PNd-e3cD$eds)crger%5v
zBM2Ifs*5JjkzL2VpSeyOeLh`0QWRzkRdp%?KF{d5#_7;;b$@OAe0NE`_=pK4ZuCj-
z*sqH5GFL6D_G#mw#VYxr18fLr_>?m-uZlVmZx4tnXk)P&>x8?fDI}|f1+4T_Lmqh%
zM~RzS$aWo`x7uX}Rkxz&a$41}ipJGdF|3Ius>50->&<~{3%BqCA$6=JaGw#G(!l=#
z0096043~E})n6RP?Q!jE?|JQU?{)2QKNpcQQbf~;(lCljgrX>AMvD}sX*3Y&=le;i
zq==%D6bjkN%KZ8FJm-1Nb3V^G@7McPI>o4{(PhGP##&~Rt`0JGOY0QW>tGP=3-5+m
zCUDK=db4zN(0i^hQ6W?t4;gzOBsKz2L@0x+xOFhiMhMA&G?A5e^_%Q<fYa>j)kuUk
zTGgla9P^<d&p>;6)pvkAlfLLmZ*5FNZD&TAI)+=h6+9AP!Qb!h5ByuS@Tu|T0ChGs
zoT(Dq^h}cl!OkSow4oN--7m0i^isjDUXr^JjRg-wFJ2}^YGRO~OUtSVMVyRu_I<C%
zf&unths$qJ(9-^GZon=%RQq=RK#w#Fe7$Svp7k2oP$$EAF<TmcTMc~}n+6!051ZN1
zp^oJ@1ErTaC9%#^;9c1pfK>*8^UecmsMgk1WL`tYK+BW|zq0{O8D@;r{;FcjWWqf0
zR21WiL^HN}1N`f=6dhYqL9wY<SuaI}aqk1W%3^VVC-FtlFRX$bFJBW^%mh$}l$20<
zo(T@gUq^&ol+YfVZ=3e<;iBQ4BO8}(Vg8YI@sU&o+?g#BT14hWQ&v`8+74S#xZ1gG
z=9e4_P1~M&^MD&W`fgq|t+xTr^rO!bd}L8?e?g{r6&G$6y0ERCVgt-9J{P-wX`Imr
zYZ8;=!s>l`o_CV0p*p>O?&>)yd_3>fJ@A$jzcd|Jyfa`0)m@8*f!ig~Wy8p^%P%=G
zS7M^;qKg$MmU?`B?<9f0zLm(BEOFxa<Y<q`BTMLA46Utk7soYs&+Q!A%Z2Xa-y{<i
zEJ3OF@VlD_$tYVB{#cHm8(%d?nYx~~fD7iOtJ<r?@Id3mB8T_fSf=v5qT-)96!L&d
zpo|!1$G-Gu`;P~Ui}`)0L(Jjf%aFEp=S1<1NltlRBQK^tJ3P$nGlPYuq4-Q~Q8X=d
zSB;tDLzO@D>i+`Fpm_CbF|$$;)DW2+5O*RWNB-R>7kf?Nc+^`;r<Dkr6^|&_-50>q
z;x9-31)G9RzVkEstT4__hF`EW6T<q*oUMX?P2im=dFWKP06;*$zc3yRYUjWXVN`D0
z-MMt!1lGv4ZVZ?f#^#R_HoR`4_~1r(KDU$!(Cm}?VogNw!rE*#4O=l>kZHNKrHlcU
zM?AlOz9ND`%G{s!+mdm6TqMiEjR69VS|UEuqUeyW{PgY0{E|vj_6q(rhL2k-o)ZzG
z7*q51sZN9hiaAVe70fq=YQcfQ<z7*AGUnTsdPfokS>ob%+>OENNJzL?uo&7?q>VWy
zrI1e|W5SEi7^EDsb$Qvy=*?Xdn6^O%Ta_{oo_|dTOM}fjNyTLRq3B(u)gX(71}R<3
z8FcU}3QF6!PaG}2oWLS4c~teS`(YVChiJVGO~xz<ysf&U;K4ryJmLFHi`#|{TrK7)
z<GPaQWi>eTutEuS?vbz1)##9L<?fL$I#L)Y|0cQ9K?T3YmoZDpbhsXL(~xQ_jckDf
zQTHuX@j!gJN3;kX-VQ#0s~jwYY$*-~U#-;8QKLD%OqLGqcVa5aZpq@1kbT-ICv}`#
zj3md<>9Fi^YU<H~9EL}jD;(acfj^Tn1Ld~RLAJ?aUCmAfv^o?0ttX0t8!yi}wPn*m
zwKJ`E?x!LuLRV1OWlj7jCYw3=gAT8oCDY9gDP#ADhYq<`3!N$#V=KTI_M|M;Z#=7l
z0S6blm%eM`rnI-S<`u^9%<}WG`9M{S{w;p|;=B%0M=iF5G8v#-o3rnTy&C@dHTZS6
zfF2r6c%S?CodKl!{N{FwIwlL|Oz80IW5|_APRR=<5G&=m{}#UnzTkYW`hG+oWlpcx
z3=cGgS4WPKc!xFc(;D%drw<H}%JJ!!ppzM#U^`%bseyux#~xgnbuq+H5;<SV#vJ6g
zpJ>j=*TfIuGW{8k4e`dw>z_vLEg(O{)CG5HA^Vx<kN5@+F(W*;@U6Ec6w>U=%N4aT
z`IYR}?r(+|jK{wSL|Osm@WH)bYqil>FfCg@%@AL<<txdavxc9{@9Q3}(!u!ItX1-}
z2B`a@vAw9&1`2gPE-jbn;Ait(<-_s@$f2BbYnZTwG~>`n(McT)R^0me@0=b^S8})r
zAQN1Vx(of0&_(XW9CN2UU0jY~w=?ks_-M4YwMbYO4}V#-T;yGur;kBtb~Qlf+$pW~
zKUO%BKKzl#SqsbAPA3sUELeX-rqw+~2ffa^e;3?GLGK2oXioQ)JonjSL=)D*i&1?^
zm*dn?{CvUDLq}PVI&x{YWQ9*cpAxJr(p2$;O=;y^4hxzMRkDtjX`$#^Q#WIGWjs-%
zd6}BWg50kybcHreJo{pu`15=6xJ{j<xjBOcw_6X~&-qEgH&@qKZ*!1A*1mQ-MkEWq
z%_uoq^lG4cql464O-X#7AK%gF%mTeF8s@(3>gZGHyP;$Y8J7ZV**(QsklCXwKz*);
zUH*-gl=mWNX&~;*{sEvY#wPS|sVa^YHEoQ&B!FQ>lkbO90IF#M9*KD>C_WzDz%9au
z<$Q@;Y&HOr^+g^^YRagryeaI37B}vZPu<tj#)PPGqk>2!MO1jFu{!4y2bz4Q659Gq
z0Dk{i5o3A$Sr;02NR%Dper~GwkGF*@wr{5!cF5w%J(r5il9!1{sG$b5*npkKiR1eo
zNn;M@z|J!-7KtonGn-rLHqc6ARW+(hA@gQ^;(t#Uh!gx49$ts7;W_`e(7_4`^a`}|
zdFQo2)JJb=c6w(86BllzE9?<RUk49|oly&f)6a|j%9>WN{(0!2Hjr^{ZQeg+(M3YY
zz_i9A!4g#I1?9nJVz}~`7E%S4h{}H@DMmdO;OlQS)4P(h!fml{^tUb(-YzA-CstX&
zm8KgKZ6pz#>G@}_5W|LT4Ud&yl$Zn0S$V+?kAyHSZ+nMjFgteNOPnBN&7ozcEIB$`
z5Wjt7TRXR(1B2ftC@-8g1Lx&a8;{)+Kxw6Q=Ld2)QKTZUA!W%F3SxulB~v6cyEx1f
z)5?X~YR6<^51WEtu;Tvka1siTelz}P^5BD4wGO`~O~9b_&6-eI5(eJ=lW2L47mZr(
zntncH0u}tFzA2;p_@K{kU6(XJil*HE8M?@T?-3{E#zy$DCo!d=uY!aQJhCaTPBFk#
zn-)WsA|c)5k5f~qAnIKmYT}V)KyJPNv#KBxR`-^_33U+05SwQcKBdMm;^(<}>MIFl
zg%!^qQ4qzKwa57Wt~Q1vJ9hi(MhW1wf7A0oEiwG^w$@eR_exG)W_0mb3Sy|6lH6Jc
zG7k2%6!E6hA+0A<=!B{e5}qEO=OV@NkH}hEiWMECBp|NaP#F8STjGOi3Dk8{^!qqM
zgF@+ba4kRty@JjJsz^#<>;2h~)LS%2`IZu1yImA7c$7AIosz~R{|>><U>Y=!#PBjy
z#Blj2eX&|X7N0y+3iGGafD(7>t?jfJ=Gl}tUaXNrrHrLV?OZfCZ(&h!w402x(z+&M
zaSEu|QSBhoO@)^ytJ!jT#8K&0+atDZO6b_4A~gSs3W*0?hmGbWFfmeWIZ|H*&ASD*
z-+n@c1^;u&!`f2#Zeb&B$Xpe>ug)=6t*kG((p){mq*rn+D)r(9H9Yi1`mFM6DhM;_
z3UA-Zpy14qa8ryr7V2AB-1tR>8y_QS2@Y~7M~l$&y|00zq={!+Bxq0<{N$a_2YJi_
z?yi$#6x_yZ5d71N23`6k>)#zwM9vK*ZZAx=5U&5q8n{P;?&7(&ucpfAeq>)@eS$W&
zu|LWem7&Aq-2t^>Csc4z$tS?JSqFV~YblN8(&1O4xk=R_RWyluQvFd%5A8l|DeE&|
z;gsA*pKIZ282(&puiyrKEU66p#y4&Z0wJSzi(%?muNs-`aMS=FTvJjSea3)Y<&j}x
z2Q*MP(014B(}wtkyKXeO)C3qmhy4;FC|FDzFId=bgt1?pcaN2uf|8L0#VcGBUklMx
zy(Ou5v-+|p<AWKHe!k3@+@Xb;KWbfHcvA5nMKYPrV*!b$g*hCYwefH_4{6f@D)xL&
zl04{a31yYEzbL1J?S?N!>vvPJX~WSfqYGBxVYV;1yj2I2%exN!XGTTWu-34R1J<xH
z<b7!5UR`u6ap!C(H^SD`WZf?eTex$#Li_%AU9A5w`q|;SA^y<j{K6H<1nPg23iY~r
z$iA&MgRnKg2#)D<32p$_Ov`G;ob~Xgs78lYx*i_R_q_JsO5V<HJ(pr@u7}2|hXQS{
z>EOP1yljGwETD`!)<(?eBH4n7>prH1s^27HvI<!+!MDvXGFcZ7Y#IH>Zbv~oy$+|y
zeiqEH;S0SysDqw5oQHNysUaKV(A6PvJ2+l1XHc%8gF`h^i5rSlu+jUqw4=5ioDPy}
zdugeS`OW5ExknW6CY3hul41wjM}NrI(zS3wUPr>IP6qQ^PWc`bwu6w@AVe0|#A6TE
zW6iJx@-t)M$4?fxa&bM`*Q0?W{lk*>(PB6!<0kk09t)zv#>TyGsbgQyj~x=f1aZb#
z$z{_{7PM~?>Ym-DhNf2k{W(#_ixf_t9_bYiYEjtK-l?OCqqqL<V!Cr;ea`BKHxOWi
z9F$zvtBl((Z?}5Af0+nkn=UsE0uX3k_oy#f5zq5>7X7UHN8Aq+?YhGQ!1X84<+Gza
zdQC(|?r@tTW*uyvF1s*6BuUsdf+CBYj)RkDNfX4<zMQdlXKdl<w!}A9TGHrW=q*@q
zW{kL482$KEqYd=2S{_BZNn*{-v142n!$fdY$$Y$!&5D0n>bvHN<7B;m&C=Q-;-yq@
z`?dAfU?}?Zt%w*I)pYxYipfKSul}7KXL7AT>Z{)m_hM1ZP4pa9{V+r*tJIel4Ol|H
zN^!jAN{<)ZllVB?cZBe@d3sjQ(h{c4(!$5C3*!76kF3p^V?<`;>nY0&3s@r?BYx{4
z2_wB&Vm%svhy|DM<!^)L5EZW4Q^3KG$*RAea92$b@AoQ_$!p9Zz5nV6e+Dn^ezlG3
zPShk}5>nvuuEY#7)>t)hdh_6bjX`Ix?=*2Ph;1{6lo|B&sB|=L;Ks^C*QDj(S%P}L
zT;+O#DFk_Jzw<VM3xi)goYcykBaRQ%=M}E_$f+Eap|T&G7=2;+I_1*>vCM0xIUQ^Q
zQnNe>d-iamjJ?c36{}@pDQsfn`5p$`&KP**pvZ|9H67(9-`P+rz~*th9|KMndE@tK
z4$MrL4=ko};Oyx!*GE0Z(C_x4&uoeV!|GI)QqFT?+*&PNv)#t9Q#4xdrW7Y0+Bh%!
zN`xEDo?M@nnxsS5JIRaRH*sQJm~7&mt2}tLjN^J>A{~yJ%q;)?j}y=4p8fk`^@^8W
zKB;dZO$XhwFkTlsF5IDY{l%yd3FXi2NUJELLCLp@nwx!GxJ~8@uf>D_LiyVtoUSx@
z`qH;s>K-?4Kav+cGAo4L4qHlm#;DL&vLM8k!Go+N*X=LJqA0|f5<hvK3MMYr8RF-8
zvG_)3Mu&~qN*}-XnBqW%!ArkoTx<C-(NU0I7*EDqC-q!&MvXwhU7vf5pM?KJ50{B|
zh@<MZ_oKJ`jlfdgM>;NA0Bt>3dui^H_>x}Up4MXs5hWWpJ{1!}YnBU{t$T%c)fO!$
z4;Vt-2jWp-%ZeXPG%}86%HZMRx(CZ-Lx__oiPK-<pw(cW$JqcmM2_A|CG`fNv89oa
z+#`k~JhA?xUJ6(&d*xcvSpzUU`SM+DDj6#}=HDoXD4~PRrp)Hu2B1V)W4iT?IF?%N
zu)pf5f*wk%)~Wd!fZLuDb2(K>EYyu4??0)EkDiU0M;<T$^RV&+;T5kJ!lwIEuUGme
z%m29C4Fm8RY}3<Jl|chj_Ou&H8mQMA?AkbM0CC=p)*^3Z5&G4}eNL|Q+*GN1mm&>8
zwW?f7F<TyIZH4}6&ue1;a;?Fjyb+X;YIL+#xYp3NE#53v8?{*h>$m+i0_&9Dcm1Q4
z(dynCRsydsYKBG{w8v8+c~yXkOrr{hfBv|!EL#u1M32NjQKP}adxpo{PgRTylS}DR
zG{8-s$IYUC(jcodx?zY<9ml_Y%{+P85ToLRcQ?GG!`_XTF0El`V1WY3mdZxOs+-aD
zhBwA=J?rmC(GCi-<kJ?hfQm0AZfF;eGoZ=s(yx12npkw6x_-4D4a-<-_4b>Yg5);F
zdDW*{Xj%8_M}7_s^Y{uqGV{#fw8Dbh;1_Ky>nqzE|AmJ20@bUl<t^ZV{#7mYUphE3
zpY@n~oQ6tSHNBTgEkVU`f!n)X7yZdp_cb4Ac%}!hes{5k6OR(q-xcYhg{7j5a6AnS
zJ1D|_!!{sr%&=g5tv)`U-<0C_hl+G1KYH?UCOlV)GHQILj}lv3R#Eh*sAJVw!Ep@W
z@X3tXWOf4#aNIIq<!6Ypna0mQ8?YeTT90d-#{l<U*ZXWJs*ha{eGb&UU_l0ha<aKu
zA1epUd6c4b(D?JG3P-SmvnSH~8C&)7<bG0rLzyOWT>U2DeZ>ya9`CV?FV#ba+;PYC
z@73|DFvC8%!w!xN^>msyuH4I9?QHgh3QFaEx+Fep2m6+`MLn<5L4JluU&v+!ba7ty
z<?)Oi)H$wl>W<UK<4t5sCrxP_+30x1uhR}xQ{y}IG_|nb&zWTrM8@0mmKR^$v4e<;
zR@c*yDVVo5-llGYAifTxj0gnUL95tIY^jw7zW*VwKQPCI6}Ed>ULq^!juwSiJyF99
zla9@@Cl(32ti0uvG8RmVT@dN9QbqEQEO|DYzr?1-%uDL4S#baKSYk<vGRg?)Q4{|B
zB5wT+?jm&pXlYrA*;XlF`e{>bP0?0jmDS%pxgh{XyfFz5d~zuIca23~+Ii+AWAD4Q
zi%gI`y82JpF==EMtfh?fG%-W$D9P-qOc;pU{4PmD5_2>&^-~8wGs|snN}8{>g}B;d
zJ-4UH*wANqKL17+(`l6Ji(aG+IG;_^&Y2NKk{%&#SMr0|y|uh6x5yfD57n>gbQQ*l
zlY=r3KK)?IQ?sc<omS8p$o*=9M*y$hIjL_g{eu~-ypC!uX9eZ^R1V&k;=`|%n{HdU
zd}BJfvk4__vxH*@U3Tn`;>ImL^?x*jzc6_`Uku*3X#s7!mUk~|a$>C3+&h8hkIdxY
zfvlh@bMU(V_*|m`JJw4*QG6WT%pBBi&q#GPhiK=Hp|IOa#GT}Cx4ECcU}`RqGJh1B
z!K+*Ul((eM6K0wP`L0oqn1NRmpQy8&!Hq}};!N)>F>Zh9(eYDB#K7*w9OXb$s14qg
zPh6fRrUHeR2gR!ipZP+zf<_bYFghsgdvB5`JC!2qll_Va4__5|#LNU1l=7D|1pg8(
ziHdse%ogIH?$kuwEe2@qwUKbF{6nB+k%`8Qc7iW^!;>@e445tZ^w7FsoVYtReYs`+
zD<Ri&`g`m-W9aC*{BSvSjJU4Q>Lzvb2hp-_sLxcy82A)7xxTO;C2ks6y*uaDO9X6?
z-I1F{hi;yLyx~nFM4@|85_RDh5f|!Jm?cJswP6kI0<VV&&C^z!c9jnhy`MZncrMal
zZSebl!pXzL$}@9;*dbzu)bP1Sl?MHdQ7rAumHpHF*4EobiHEmIx>99Szyp!wn(kp@
zbaF27M#(s_L*1+?gGq(Sgc&~PgCm6D!@R@WnG=M>-KVcoZW_UQ8|nLg&Z9)8W7OY!
z{eOvb9Frv;9}NND589?}9U}(!KA*pFcZ#riy-PWW&k%ghi@Iugj}yPcTl@3R&JY*#
z*!EQ08Nd~4kY9rGA7atlDcm^gAJNs9&F`G34-HF3owK|XL`QO_g)`0*D%^)pNxsno
z{Zo~37sUP&Un9-(6cv_;GIogz+R}PJ`o^ekvza88cowT}d9mSTX6%lfJ-RUFt+_oX
zZHm}_=cD&jH9L|^r>&x2=)l?i`;Msd%n%w@+np?JIq_hlUJ3_A2h7`7gXOJRqQrr=
zJpYReA4Z%u+kI9W+?8b5xem?|5$XDD{1rUNbuKJzeohPI>!v1@A{K}vapq6s%J|Tv
z_-L8Jek~w}^3@a+EfMRFfBMz*g@mp&@k-}0O~`6bGRru{hM_F(>gVP{nEjvgJ*7jM
zaFp@%r_VQbypq~<E1^XMIrS3vY~|5}mY)wL<~DHR)~u{`FFnQZ<JR>2v1=5_mH#?;
zYK#jV=PVCw>m}pC*e14rjubH5F45=zhzC6*-Q#jENT6oKHm*<qG(hjCwuH`gKGbaX
z=c$a8LeH?Z60{l(_^O>4_PUOQsifefnOGTIlQxsUm8t>G8iiSVrG#*EopnS>r5rvB
zE;D_!UjycLJ}W+4D1vroHfw~{6tUd8eOY{;1~@ED=@2Gj$k>u<CHY(##~*%QcOqT`
zUU#QgNz{<h<J3BPZ8udsBGF9Dm96Yg8RSpjA%O?tRWq7Dso~A-Tr61*3V7zn61!<q
zcp&4=z;K)fs{LN&YZF5Ov6CMPN;G9~Imu?2X0M5RXtl4-sIJV@rFoaYDmiSGYpZZq
z*T#?V#_{jGCj2fbTYE260i6x*e=ktbMe(1<U#pU}K}&JZxiL0nTwHt@_(oSBS-#2|
zf%|lzBu3j+qFDvghTnI9lObxY^U2*Mt_R`PJfnFuHSDw)&JSTwk<ahgzE%+fcwIbk
zMdqeD{&W+aFJaNJI{ksy?cGLjxaOn79vuqu-|d}0V^7DalO->z#A&d)#ps6AV@<rs
zwo@sXYK%<*JipU#(!tGZbWUW&L&?`pPmM1aW25Oo!L1<-7;l>5&-|o=zdhDpiOyqS
zf7kJQdxK2jv)zj^@lATTf6+<yHoFOW#?%H~J7o^?I(s-G>hw`lS6FAivI)lB@AU6_
zYYB7IY7Q2!A-*~~aXxO4fd(m-{VnP?P}CN(&R@<5xgI}f)^29t_(GeGRSXllM@zlF
zj~bzfN9D=C`;2k$pWo!4E&$i+PQMsyDsuOo>;I!pN19c?YT+OY2E*r$UGS!2@Q)%d
z-P2SooDX^Usm%`DQ=KUHS5dJ|bv!rQ#{k<cPe1p$U=I>1O>3WUQ!(LQ&RC7T4&Lqi
zAe5u+08ZWFuWM;WC~?m~&5eVC8x3wpdnY+S4t3v)k6ebBaOrA<#&Z>X99oh$ecu5T
zn`aUx()95zZ(|7EUl!kZ(*&3AIe^Gn_F0Z^x_IePZg1%qF+5VtdK(ez0O>4xPV}NS
zuDzK2+lk48wtFufY}a=HFSn!Fv}H{UxocQ(*ldb0e!68rzs?>Wc~xlyj%y&>V?V!9
z{u+WWFaNC3Dtie1c~EWqn;Nz%Rkm8~8fKbL2wtgpY6oJ6SQkFGs$hcX{nfw!n`3?*
zuTkD<Xa{doDx)OtE8?YY`Q}5~91!i;!dH;bf}FM;JP!tBu~fR6Bc+5J&b#ht$rNRQ
zP}~`P<4sa%oOC5`h{6ZPB7!rUk^t7EHTu5h702}0kZjkN{II%Y+J6;0z_7*{bH_0e
zBnCren6)J6F|T^K$jOA6n>h{Q8%S7}V!dc$CIHKWvWc-`wonmVa`UM<H<F@{r1^RZ
zfQkD_`CeTcs8#-cRzH^w%dhUX9;FLFz-y!4yYAM&wL7Liy>FKAUg%>K50c>S;6{Cw
z_!aKcx24eb{~<^l4mlR5ks$5DY3G<KOTbax^q}Nl#8LL^L2QO3XgC9msW}VCZM_sF
zp!b0w{uG7m`p6F@@@EfzSY-jHboG_{3ksOG_K80jOyP$mLy7aD7tLXbkE1+fOB?e`
z17AR}4?hUoxpp%q%s|FZGE{0!FEd8!aV*J>AL?{f+V8G6gGiA(es<&`=J$<M?|W<c
zA?s+H?Vf5=aL;|3bV2+N)2Yqtj7}6kJmL$uqM~UEj#{tu-fx&>j-1*PP}0B;YVH!g
zsTWNkSVTIS>@&l3+oYG@%_2eaA%B%)q9!mjA@w24V2;Tm)t*)DA;GW`kN&4r23*TY
z_B;M#f%)=t1ZVy|0pKg`c8L>Zz<R|e<%&m_nGgS|+>O2}2ySoIFNRz+hO1i~|J%vU
z4gpDV^*?Kcz_Y-6<}Sq;hMlQ9<koUPP{{2=8UiA~X>eb|v5F3d4Lc9qI>!keLZ2^u
zv=ap_vlGKx*U=${skXzumkWrE@soTqVsK#N!>_WVH251FpwMr_17B`%RLSs=;a8V^
zQAH*Vd^#tpHr?WdI}ujVyu#w3Jji<_%8CYF9a>73>ii&`bs*pmRRSve3rcH-s1Px3
ztjk+L0-u58Xx?y1NW9AZe5jBLnPrAlO+P`9KeOTS>9<l)sl->5;!lOV?-0?iB@Ejn
zC4Fk0WZ?Ja!8LSkD*UXpRC~cI3U^)4DE0No!omhoL8CDvsI-^Yl@$_$H@nzT|EfF`
zG%j$-6|D4%-s;aW6f$U8)ih<tDgx9#z9$%L1ZCk3dxF-BL)@!FHeGSbAejH8+r-fb
z{s#a6|Njh^cRbZ?7>Dh>cSiQ%IL2{~8F}t=&=MLVDJrQbih5I$6_TBXGD}KUvPbm$
z5k;wxvWaBxkriJ5-hbWC=ea-M>wCSuAGm4oPz0t@z03-m<=}Wn^f^HjEoi*z>%U`K
z6#6(cKLjkwgZamU4=x<i0x$DideA9xxVTE?bx~6UYmbU&r$e<M?wS1j#DoN-gdJ?V
zdPxcLa!b&e9xafy!bt3KlHl>(G??^W8C2t*_Qz?E;n0w}^TGjX&~Q*y-KD4k79W3j
zd<rB(cgMS~1H|o6sVQfh7^w=!42*P~CdqJw^^YYxuN*uwR|=e6CBjp_By$@tZ5SEt
zUU(@W5AohBylv-6V5=ncHd=@R(n=!6+qNsfA6H>4;F~&pjAtSge4~K5qud(@sv@-9
zs~9gLXu|anLHGGAD!5~uDK(Z#z$@MV?(-Qfm>Eg29Z1)K>c8a3VOM2vyz)%o93sP~
z6ckCS(uHxWUTVs10+jCF$Z;$p!@$Wy40dyRkW0RpJO5Ax1R9h$*toUfNMRK9F3kXT
z<@9_tN>l~G!?}5co!W3;FFW$UOGEfuR&bLXMTF9^6Sdst+E7-oC>Jhi1Q8?H17#OA
z@K*}{!nR!-J}tlHaC>A7nXWzRhonicR_*<At(FY?N+}un0w!Rhe=AEphXhKq9A5nf
zWUyh8zO>CBLE`Jt{_lM1z{*@cYW`OfjAQ<^{C5FBNBis3n@AlLjgoG}$!dT;8$)A1
z8x1r|WCELZsKek=aahf&8cc-}ZfHc&;7p;0;I2&)L@MNRlAox8?Vfd`^i>-8e@Nso
ziz2~QUKTEOegeeqTRYvbpAM{)>vp7JHMqvym44Do5!$)hr2>NJ(9k>bR9jFDOtq$6
zB-`acjWIipCy5ShM;AN91&L6<#5{I6LmId;?kdeB(BZ1siQjdTDxleY`p(ptID8{i
zux19*!P{$KuI)7eZY(54oVza!*Km=tQ-|sB%5RB}bX*zA<%sw4PxFHf=kM#u!dr9u
zee74)6@iu8$mLxE2P~%(YA5PwaLyxebL5EvtPF{BUua>1HL>%1^4)3RoY(Y$(Lf$5
znwPkDu>3<(S8}`;cxh0O%6BZaLKbeW9Db~)vw)KAg%2Ib1fXvB$@n2H15*bY=dX%R
zAUBKUXTvmr%9!x9fn-UzCfqqNnm2$Vd)uymFF<ffz$#Y7R00xAl^YgcwIK<s01u-9
z6L1SjM79EA;Q6NgO!J*a<Vxic`z^fnzwV8a8SEmk>$$L4&jOC#%GS1u?A-~ay@~n4
zYC@p+=BDzF<Pv165it2G$QX=+j}h*93&1bVVJpqwMW|sq%}2i42oy$w%cFaF!6`b@
z;#^$?;#;U*t!6O-Pe!5j5Ls@ROWnHwR`1a%bcU8@xdXNb#1_(Db3noId~wf^&nQaC
zLAol@5Xiadk1m9=!LGKWZ*Nt#Ac59xur_4?4zIqHAAHUNjv1U0ubtY_-V2*bM!OAw
zX4NmK$iNJZ7Z%(?{Cd&y!Yg0fbba7o@%0sY%m}58F=Lcl1L(Fr>knl%eQ2_{ntJUl
z1GL*c`1Gjv4~p%g4F_G+1DlOU%hg{t(EHu3XY7xUBHJTFOMBaNVc+}_juUF@sLWAk
zvuthxHC~Q*bZnO{d^+dxR=H~peM|%~hXXUnwWWV4zFY?$=kauzbgUxQsGNyL>KxJu
zC>0qc>p-Uao9)rtS5fB0Wa~Z33+T`>Vva!$6~fc4AHRFCf{u}CuhmulqUe3iJO3k5
z!FE;G3%RYJ#Y)v1LB`9dNsF25-fIfHzsn;H=U330K4<8_`Bjv6B}6_*mjdylf=yXT
zE9h6S)}r&9f2hn>GlGt5!%K;4r0uM$C{F&(ix}}uv=?U!ZnDyb>Z8>chf-J3l_Sqc
zIn4|(ODXQr>?cF<q15`n7uJy1qZykBbtd5V$NgNq$<S;6O6B+Ye<(bxSK2I<8D{%}
zID!Pppv21-+WBZ5X?e=Uj;OOj`oKLaZ6__jKNyIo{oO#k8?pDXb~flb{#P;lxh7O8
z%qG{HF@T^&$=a@$9Pr<sAb-0V4Jf*=s_;>j5t3yTt974nfph)UlE3B}5Z6#MAEL?x
zr#BV`Zx!=^LpW`@J6#>#=W0H?ZO#nzyJtf!H~FCa#f#I4yz1~RON#GyAPb1raqhWO
zB>?_CcN%{OkU%SITX=XcD_9R#%NB?Ufy=i6$LLKppe^o89&lubC;v7Z<D!H?efONu
z({MGYk-B0i!paFVGZrnGN}>SLRceP6)!^Qjpg(`Ub3setfra2+u`OQY7D|35f^Jit
zgWXpi@Mx7RE3A@$(La$ACAW#d{%m?OVTlhM`;M-a)Jnp=`Zp!o)<jTpEgK8T6aeDp
zYqPOMX;AQ2vs%(3f`$GAvcQ}mFy`D*aycvu9#1P)+f|8RcX865WG4)E!=A@or{$na
zD^FQwClQ`anb4v-Mc~%2qYqQ|D}ehK<?y?gi7;oSzut693=R%xxVuy<0!ilU)P;{k
z2zH<EbfQZ@fXJ!ax|Ygd*K$26WtSQRer0`om?#N`DN^EPQv^`@N^K39R|6f1gv^6f
zX`pc3t%!K83icAl$xN+VoG7l$ayYpiN>ANX-aMxUr|wD8Y^T(LJJID%qn#Z5V3o3~
z(^H3cm5r@4do-a5zmOFkBM)O&Z0==nXu{1a{{<+GX+g{bRhPFv6d(#+ST=6e0z+DC
za@RN+{6b)&O+^Xf$EUhGK9Hf&$7`LyO##<$L7GQ{l!27tCFyuy8)O^OzuVbRL3(%d
z+n8Sj*dRo^AK6WTXL>r~ULSQJ^q^Mr17lUVD<d{@rGo;FIeFzNr}f}EuK=%M3=!)5
zJ`49FDr7z46E2W9fER!C_DeUZ0q3LaBORBi@L7VBRKIQr-aQU~`WH!1W+dwx>P&^@
zSEZ=}lSXiDfk2M_s}A;iL{DuBP@%oWjAv+IC-kZC-sG*<fCQyb-oyV<ph%q6a8DBg
zqgB__y(cw+|5e}D%dy%Z>DK3Yss*5l&OY2!rU~bk;we>U$q*y67Sx$Rg9jf1^WQgU
zg0iqwz&<8T_<X4oMo-eg&mx^>7OM#q*0B_=4mGHJ`<Ug>5*-d0tY$88YeM;@56SJG
zTYaIFf35GVDFlZleJn#7KqvIqRZl6x{Wdj2Jl7N)$(4>S+Uj6fF|9G=DF-`C^iM}L
zngaPN<J76qElw+JpSntwgy({*B!&;B&`Ym$8Sx}S5$A`b)^%a{hngk=Q%vEmn;-km
zpDJM6&&=-D$OBpqlxx==Oks9xc=sQ90w|};4c0R;L#UYWvpgnKD7;;BXURzkECT&T
z+Z`5B&PRbeU!TxH>f{tPE<pkOxSX?}8}=f;q&DsaWjeH+eYxS^DF^kz-@ix(HDZeU
z+m>!-(_nS??|*z&+hJjkdDiWa5zHLuaw8fvxG!0vg>g$kh_7<g#LqdbTl2!;U>-nw
z@rk?sf5qWm);l%%lqKx*lX#jF6~NcvtT3C1D5O38S)M(-is8#qxx23*m<i5V$vP(l
z@BORa6W0G>k{6mDGu$x&Zg-~Y_&@w$thtTiCAWb!#w+I6rR@Y~a!$%|H*QdjXw&Kl
z-@xkmXrkjEjNx(8(2bH~>~L#GTR4aN239`8Gk1R82vX*z8h_<8!_`pE+_33&OyV~b
zt*aQpPhty4qbma>ip2T^Qr9tiD@(QAXSTR0eSB77X)E{X0_mxT|6vYqEfrcb3}N!|
z<j6B@5pi2|bThcDVfz`m707c2aQ>_xWl?4pQ6Geri(OyE4qsg_9HSdRD_`SPX|^%M
zUS+Yv`^gHHl4E=~@rgb}n>5FS-~&kixzmqFEz1~{-|o`jq8`+n7rxn^(vDP#_xjz`
zma(n@m2OWvJ@_wukW_j66MB)8Be3{l3A?m6E_rpU$37OTnWiwlLNPm~Gt2iZVQ=Fm
z1Q1ad^r};D?{q7}9P{a~6hxP>@rORj98YxMZcXr?Baa)gvWaEc7M>-HSZ;fSz^emf
z`%@*+Z+~E>-(N}&k(aOyIsUxMAynu*(gwRCyD@uvK{7dL346RAyz!oq3Zj2Sf1JA1
zkEJphemKpzjCHckNihXcAm?L-+2Qkpn5%_-oo?PT#v?#?7G$G9VCJ`z!6w5PHT&~{
z;K&us$HVGyca%0XCOwxpw=s%wJp4FtCSeupGPON?aGN%C-H*8IQ#gS!gfT4}cdlUt
zRo{|MzuL;D{b4m;=ch5jcS-x2E!VNg*W7#9jL6Wk`nNt$corMue(HI6X#*Q&`LuX3
zO$+{*<uQ-?&S9S(W;c{vWWYnYT(127p$QcSn~Vb%=CPG5tz$25GU8bRS*6zmG{Iv}
z@vQ~FMa=KoDb^!dOt`h@!hVB88sO+;xxHL&2^)(%_+@mJ85hW8P~4TM4rayGm&|*Y
zF?X&u+0IL>_;^B!cjGt-1iB1fDpsyyE~9eyCb`-1r?zt>4l@$?NLjFKzWayWJ$p=_
z*1~~{eCLYao2~}+hiuI9$2TywI{lmbK5*gXlHH?AJZeyG8}~TlIRl<@TU)eaoCnWM
z+BACTM}&Wi>naK3jQIK4ibnC>{P^?yPKWm^s=)hFu_*KaGcNM&SHAg_0KVXn?Z4Mw
z6?%w%jhBD0;CfL`o_CH4;VtXjOOgVr(0FL2Ch`^={`JBy$)Q1EoZiH-?wG3r-B+Ki
z(e`uT-0oAI;*Uh}b<>{u8%I@uae;7~WX^@}h<<Z^%tIX4(%Z2pCaeNgx4#?~yU2t8
zv39S~@!E!uJD=RE+eZMG#m-y*YWeURVuZe$G%5VvPPGmyMu6bto8lXp0yvLG_gzEg
z?f5GVZp&ZA1R&37y-4R1!nwnVGRynqaM(OD9`b<zX8b|R5plx!MOv(;(`$KLB{MAZ
z-vR+LH+<IL>5JmOHzw{MS69R(ZFY#2nyYNRi#Je-K^zxa3%D{}tAy(&Nbdbor2^N!
z*2p_gO5n1WSI^se6YzMduLhH|Dr6LdzpiAE!l_HMkzZ-5_=kSS^OzA4bV9SQ^zD$r
zLn1N^cFC*ZT6^M~nXJ`7&U#!WCs7u+V2+4o5md)b*W3B^(@F4kk-2k8KpsEPI;pdl
zOA~kLsEVJaYd}LpXhfKc0$!&d;j_p{#%nl=ef=p~Fkg_If2=_fuh+c!fMJD<hv@aW
z<yVq{ppZt<GE~O(M?O7k9ni+DGkx55@KL}{FPlB|&DP%W4*LR1C^(;n;*OPQD!5!d
z5qXWMiWdj&eqZWJ#ozFII1^2D0gffj$0rf-MRB>;lvygCWVksMDxnWmA&rhKj3iv<
z`E?F!nhw6_=IzNUaYNARX!;qrUmd?Pp)|T~rGx8sJN;sz7(rh1hsn+>8hEKe@%|YB
z9ei!|zdE*KJ3+=tPwnCbO}w>gY~N4-73Wfmi-aw2y*Wi7{8rJzcSb!Om`tMJ=nNs|
z>PLWBdHwzJsap7ZkF-GR^V)dfJ%@L1DroQ|_<5pggBC8g9um^nriCAftZQP9rNd5B
z9_N{-T6klTDU<sJb^NHy{vC116f{kaZ{JYT!b3|xefP;z#V<`*_&2^cg%$?g$`^K;
zxR>Xbn!Sxm_%btTZe^Pp97d@nzfCl7W21>5j$?8-=gIpD$LVI!kwGf>`J04m>%NX;
zJRyl+c0Xr1g3Mr-M7hw+K{Z^x?YE1QyD*-`B-EHAZU*0jGbA@2s^X8;^Wrj3ap50&
z%wBRdnZmDC%|kj>1e~*dT-KXu6YD!iZSK8f3X~%%{|>Y&;Y~dcK0ntO#bP<avWM2`
zkd(do-~5mQ-ko$X&*n}oidE#}(FmYJao;m%(xx2lY?2bxYd?w7eFG9dt<m7tY}u;s
zzU}x6TkQ@FzGYM(ZDH1Ml?KGzk9Q0(Nqm4mMV%nDiQY)hRjN+`+$dkK9d;4Nvu`;c
zEaPE<nUnQP0&V~<Z^;$7nF!u0s`f7$XNCv8w^m+!M-cbC>pIOz5Kn(}m(AiE3xtSg
zT=VWW0nyN4frIY6xbSuJ)KW)Q_^Zt#U_HGPqNAVWwm#s%^SXokkH)Y<cCE3BHP24C
z-FTzWP@4sRMY_=+;>!xbT6~;_RAZpY{JWoR%z(=cT+aSv%nD`7k5(Tz8-eEW*NY=g
zD_Br-fcB*U7I42o`tvnu2fPZeaNlH|$6gCzN!-3H!1b=8X>YF~bU$*nXDc4Vg3hs9
zONp|;@Xhx}E~*#;LqML1?Bib;`?P>gXbCeM1=>`Gw*kbNu=|{__=+XQ%bQ4_V+QKq
zyG6cV_2HL|yIwed3>x85dBUj943F)q>wHN1us5cw(!BL6lIjsD;pSw9_^5IXdbA#>
zclkv=xX_Jk-nwfFFfxPeCW#^FuP(gjV!xa!If!mF=#LV_n86-B<zI5vg#_OC-1=Li
z$m!MuZ~tCqz)DLa+<xl7u^&@%A>LC+CiRl#wPa@Kjc6!(W2pm0xmC6jF|%mY+jDwU
zkOf@N-^MZ;s9^rxj)n4m9vLkCo>G0q0vFQn|JB<^1(HAmYjpo2^2>?cqi~89xQ_YC
zS$(5`ke_4y+}skH<j=g;xswgrNjjuIM=9V<VIK(DTtR|=`zCx4J8aHN$ow191~!q7
zwBLOHkp7<vy5l(xaN{TLOT3{Ct+iHOda4`9M|bDLZKa$*4;pU#E}#u(&DJmikpW^J
zoea56<_2C>TT?uT3@mn5x*dBNp;&mYX!(yVKkKV&4zVO}?eE#(c!LSJHoF4lGWp;u
z%b}jEAuagsnRlVJf*GQQWjTs%1z;boW2w_v3m&Zb8y^s4h2?FvRv*0t;rqzsS^bnP
zE?*3u9`R=b??u0Qmn<P*QzLcyZT0U%0kt!4IXU3LN9?QRrZD&!?hkt$q5(UQn8;i{
zCnV>(Rv)<{3PiYLmcXk4!xdb?H8;88{*Z6a84hvCTzcaCZOe1znA)SSxbebZ%Hj5N
zxCA6$7IDY-tAlsZX3Nn)ez1CY?G!Cp5~8rnp+@XmJ$}ecbhuvt6n^UZ7C)7S-#%_0
zCw`LPxPZBNyrdBHY_qy#)wmrDB$q1_DoJqb{@m2*i^5P+ZZwe;D+hbOd>OCbnlHtF
zvFmLY0Y1?lWxghPumGR)giaE45r-7~PKm+hzF*@Pl@!6*btwL%#Fqbzlr{ykOF%`G
z>zrzo5}fMqL62^#gUQRL?y=9?V5*Uj&c;cAD;d+qHXIrt<16qI@}$62JyLr5p$dF@
zA5(kxy#|ni#@+7b%YY@jPFgvc2-@$rvadiB*l(JR@wLc8%LUAKrd17CHUCpS+o=Ug
zyUqI^vCBh3fU5s}Uv*$x^!#P}lnfomo8RzK6(Br9nXg|~6ILEFc=P?I4P0CuEH<u+
zpk*R5t6HoDDv6XsHtrO#P5-M9kf8*ZBxpm&ACuwM!K0OK;Z(RJx?87WR2h!{s6OXI
z*M^TDOXWfvb-*f?Dy2eF0ndc2=>5&wFzHpT=t0rjy3>;HeJ-jnC?#r>ZM=2&iL#R0
z%k|-uZ)wb091#T5dK>M1DX{TUSJ%tI5J0*4V?mZ0RCwCPrG-)8j#Rk7yr2=-^Sw8C
zy2WjizC;}{2MRC<EhT?%F$SIfr5^d~>R^-hw#I&18|16jKT+dMpwN}awoO_C@PuW_
zQB!S5aS8Obmk0Rj7oevbp#f*iQEuijGRP*f38{_)$VOuywpVGugL_6zHeQ<0K5|>U
zCY1&U|J~!g@>&B#YI1H&HIaai_w*+NLppGlP1asNp#ePQ2GscxRoEe!Rr9Za4$n!B
z)#9JkA&dh#PyJAa-+whord+1Lm$DZ6W0eH&G_zji6e(<Zf8RXS#1wv>b4+_Mrv?u1
zQoB58vhcEdD5=xh6uyu0y2(`#A*lDP=;1Tlz~gxs%P*QKSTqXUcyvq^qWQby4lE0U
zy=39MjD#r^dxh85^bp|Ui?oruWIi}=sjIEfMu+lGp_W0G%Ah>h5=YHog-GHau9Dky
z(Br5PG%i#GOjsi(wdx<r?$epLp+JXOrn-U~;tDXSVUu?3*$i?Zo;j9WN`pHg`*@xQ
z%7I$8_x^<aU8uOgC$(r74Z^M%))r680NIn_#K^52j68WL?$wsR&q%LqPOVGAw7K_7
zcm6I+QtqN$#R-6Su2XvQx)QMe+90Qv>=5=q09{nx;@aaqZ_M=*L}7<B;rlJY3G8lt
zWNpcm3B>1Hew8B&gVtw)5WQm>8^3djIfvf_%KP~5C@c%WPk-veu(=sb@RMS~nBGoc
zvTdo~KgbKkJ!9Nc`)09-x$O1dXN)2I^e&ut2N%SA@<Rt@XR&X8|0I_^F#-=Po$z9k
z4aC-+(gWgVun%IJrw;$v0eI!;Gu~BZ$QAr|&@5;gQ|owp$WMF+NJ!^Q1lltKr!v!e
zMermRX1D4)>tqPSY6G-H?hTav^Iopv!EubFyGQ%PYXhkMBkv+LyMn6DUivA>GKz7Y
zEHA#yWB@BCwlme){zci6_Rn?}4q;bn+>iA-=)*2$Ykm@W9@#!qQYi8m#Oiw_iceJN
z!Fr*qrK{%*!nv(?57Gv(2ov9=92q@$7kBi(``ahbqyv{=n9eV(=lCw$m=IkMc+=xj
zwlR!0ul=C5J?h3xjGFc~&FTPK+nf>G<v}#+UQHzmbzo}})0fd{9dO<kxoi4lKhiFp
zA|`hKz<QJVa`JytVVkN}yUgt#6tYNBA}_XJ^=Ihf4AxXAIr6ktpS=U|{Nk_{vTwrL
zD3lZIpDDl^y73}I=La&5?HaY@XvC`3N=X^}C{P#?<xscKjIwQc^w@rX#LN{gzp4JB
z4NQuE%4E)cMTSl)6%qQi*e9ENnnpHT{Ni=%>3!FLFf^c8v5I3ql0Lm$=^=w<eh!Vd
zr4Ie=J5%tBUWr*ye#Z>Dk>O@1rqCZ!g9<f6nG0#9m|~HdQNyAZctrbOqlaSXr1qSd
zNlyVL{nVH6QA!JrT1x)#9j`#IH-)m5SYBh1#<uWyw<Z{GJ19RXQHrp=rkr4$fyL}6
z+!4N^0dRhlvN2PL5^DWQV`$H?N{OBBf^XDe<t#^q$FY1gx6C4TW;`CV(WIALm>_}0
z^0ldO|JTULH~fb3LL?R=HRiCcK?3@%$jVnT*@$BgCF|jWH})h;?|Rx*HNbBc6yCr5
z3W>ySZ2x@M0qNbGpc>#rIB%EXpW^ru9c@k5CO!>B6;AqPNdiQ0aC_8$wj~`AbZ<q)
zbVnnGr^O0+TRBT%lUJuzJVyi0W{bT=57D>e!#Axl6&O7HbhwoLIdVvFQA)2#M8+@f
zWIM{JKvV5nl1yG28rau9zR~d%dCDhVd*@Gp(h-*d&5Se@#cQuz*!&!w>8kZQIHU|T
zrdK01BWY-+;{(fd>q|60GQzZWKpDEIc~fB?&rufpzNwt)OjOg-cOVs0f^9Ah#Acmz
zWMOBe{zxMiU80fqC{mQb^4(mAli>?w*&sb3Y54}-<JP=)@s%Rj-!5|9d-Ek)o9Q7u
zlq*1(yLaR%g)OeC=BNH#%|JXa+P<ra7oi2guU4a}3Xn3G#&fwm6EPjj9AncjK{@X%
zlgH&0V8us>Ikr3-z0wHtd>LAXcAjS&JMcmtESqdXD>iabwWb{3EYDk1zk~T8lZHH8
z@Ij7MyWXIW17^n#HCLg={f!StOXXnxZA@K3aXt!TRZt&u$5B50Klxd6IXL5UDK^%+
z5S<FEC`^{DLCQSOm^fa`f_3@z=LQnRNF&jgKW_d#Iz;)@DD`tY+#@>cDT$P#!KY`d
z1UKrCbH)>kzs%cVtnT_-k3Hq6l#4#Rfa(!<rOj1OeHn1;7Bl!=@fNK{m-`lBpU^Pl
zVC4DB(jZylsmkN^4prV+Ci@3}LE(MLI%Th=;A~q1=kp32CFqh4saiB4dMKl($($q<
z7QOX%J6nS$pF{_<ZZ;#q)LmHT4oMIxQVH0ATEv{b)Yvfa9nJshA$f#tgKxSWA~Dt<
zP)Vbc+{)SyM6xjR?CO+&<M$6pj>Xp_UyqX)Dh{-xu_OJm>=X&GzDSgblKYHq42T(w
z4|gJ}g-CN-lsF{He7Igd^96}^5TEEa^dPS@Qs?!i#9(5&*2g@o30+<(w0_|C3;p>*
zIKy{X48q;qABCB<pg>Kr@0q&>kdjZuZmUXBn5<}K(4({>X{P=&6#5`y84i&gA#QO(
zJECUM_9qfBl=M{g9zr38GCVDbBCz*XQ0unxc63>mr$A$31l0@PN9;l(K)4<%THw@$
zhAfJ9zk4-~#3M%=!Xky?)=QT7v_rk<;sZtvwc;scuwFCm$Sn*;_SWF|<riAv%anKG
zokalwb@>U=LZJ30ba>+F07^Es6q}x%L&nbI6?S4ma5?j|lwal`nn6n<LVSzJHaWBY
zU78@c%{5f$PY$8~0RRC1{}h*bIF#=f#<LZYeHdmiV`gko))~VvN1_l3NyV3nEG1OR
zS}3%T79tVSf+$;5qJy;9Rf<GPB3VjGLjC6V*L%J1^<3w9pL3n(bKiG9R>`gLo8>;g
zoL3}lC<VJzlkUv!|H8dhJxjU2><>5QM9tsWW=RNht^DP;W}M6Z`$#KcW`SGt$oWmm
zZb{(NdDEikJ;h~p9eLG7S^^656UXifOG5ZqfN)#zckc1AvG&9XJ}_O*f1I^T0@h{w
z9(}U&2RB#QC3t#90QS~ja5Z==4$ZdKNu$X>xuWiFXH1Njf>4b@>QSaR&|*q2xBZ^w
zZjhPVs#hlr#AUMAS{|-|))M#Itwn#htLhhX-OnrsLDof`!`oH>{|~J<qQ#3`o#DE@
zd}ZSB>%7ufjm!!NPUZSNiCY5sCnws{<fXv8Y)bgUgc!WPo;02B#Sgx^-5fU&888^#
zAr>(u28Ah+$B3bVAe-w|FKa-6Hj7&p6_ge5UMJgt{$wdU{BO1*BvT%mWe9}Zr&mC(
zqh#vFZ6Y9dP;}bEN)etC8xK!$#KF-`ZK%*#3=U1I9s9vnf`KjVD?eIFK>U6eOZ1Zf
zL;QZ6&ZU6pO}@#ht&&i3{)DGhxD=>%KWQY0slw``-AgxZl7cFBxDO*p2KFrcmT_N7
zhyTu~|99`AG<d$QZqv#n!0sneBg3oJz`V&QsoF#qqB)O_@AxYZyXQ<)ubk8X@l!jk
ztv1QQTH@6uQ8|i`HKFz9v-C<>s;T$+`FA3mI1}+XCPoS7pFV5(`b-CQp6^vOW|2Yk
znRa%`CJNl1^j!VPNf*Ana48*Ap}=54e+f-c73%hxRbq!8Sbq*a02ft3<YLMCq}Mdq
z^{laQpR)lR-L*e4D}@1xhCbU?K4Czq&iQ?cFAYJQKj)M!Sre`j6a$pn)j_WMX(S7n
z@Qv?*&`%p3xKwZt+dpf9v%{w%&IuO0j9q|8Nj<QT$>&51X~Sc4zR@?S#;|mRNQvk)
z0IR?S!4ITW@M(5frhfw)a?g9*jvrt`@b*bfDKTBJWOpp+Tx3Iu$Dbt%+9seMZ9AGj
ztqYe8CGzgNu_1Nx-Y&m9GuT`ikx8x6gK+QG2<tdw$mr3&QFR7DxIp7dx2--Hmbjj%
z7iGcezkzN;rfa~To3&o>hCVpH-lTGT))1UKl9V?$Sc0~LZI;0!eR$%=pE>2O4<Vgg
z2UuYR6cy`>Zs+vDZ~UOR!-G{|awG2gQZZ{-Ni5rXjie7=G7QgW>onk&SCG+@N^7Xl
zbM$z)Lk}V@GsTW071H#UO%({OgMaR$zc=jBh2X;2Uv9tU;O4E3{+9*Ufz>>ro|>=<
zaz=a~dI~NBex<#aGHR{i4ZmlT)Yp{|9KXw?<LMjj^*82%bg+i%o^2v7Dw?n%@m<xM
z;`vA3U*_)L&a#4?cJgb&P1T^`(f69@oy$>?D|RF5<65}ya9><$GYzUs1K)IilSa<g
z&YMokYhmYL^q+sx6fmSLQPb;@L$SlP>f>82p>`yyIVO<=w?Zw7R$Wm*ose8Bk*qav
zAV$+f(n}6FF*1Hd5hQ#s{VKg@)B^g3AI$Kdmx7n)wzOpDk+GKEKbo+{0zMP-6|2{Y
z!eWo+-?N~EYp?bH>?j1FFFPi*bTvP`6-w8ridI5mS>@+QWq?mdg!oEIesbMk&re8%
zDIrOJb>T5C7t*;7PA=~TxxFnbPpGd~LZDiGRNiV1<L}E|s~@yHTGnkZ_jidB+6!NB
zJCJAw_GX!Pi%rKLl{{M0E>uRw^Ua#?na?<owDO)r!qwSF@zIVo%XX15o#0>KpumAW
zO7~)KNiD(0r=l&!l*!mM9@{e*W(xep=Y3}f1dz%1u6pwr37<DkoY*#O0w3Qzi#)t;
z8BTZGr~pVnx4*NWlTbg}?fE_r6FBN8>{sh1irJo#YYgg0sBqW+k<=g?9OyIZhg4P|
z$!t#hQ!@z@&Wg;0>}5lr<8;O5n-cin?K?ZQzmZVm-JINaJ~s5Ss}d6zC9&b(*+}<Q
zWNdAE{+pa@3`4TLQCiZ{NFL(!yTy}nRc^UTp|vp>8H(zCBgo*ir%`*w3>oRrLh=8}
zg80%8tXeTyJay0H&7(*qJZY!dU{}lnce;?N;2&9x7%rK<te}jZ=9gZ%?qNZFf{tD5
zAOUY}y>i#2O&Ohw9B=09vtaipE2-*6IeZ^V_Vh_p!6^Ht@7wuV5W{vkvGlq;4*y7c
z;$cidQkL0@>bFb?8foUcnn1(@`<h8Tw<#z@(%&*$!vuo}hOJ_N0#YZp!x|kb_B+{L
z^u57^-?ndG6+0>-F|jZ>x15R_G!4w$GMR95^X#ydDG38L%CldasiI%<O+Ru56GqL=
z>SDFX$l9B4aIH-hn_Yi~EzM=Z%wviEVr3;n`8D5jyl7a|wST2|ITH;18zUO!l~K{|
z)oR0^G!)meRgUOj0^e4-eZd43+}Q3Zl68`fm;Q4vJ2K0J2OG}}#xJL!hsd$s4<rU^
zr3bA^)nY-AujY-`WD3qZRph-dWZ;pepIr@pEEp0@8yu3PV&r!CV4<gmj~k!qelKHz
ztn7h}zb{bny>U=*@*Op7AuCVz3mJpZvU6=>a;oV1lsu@Rs*c%W?_G)B#$Zz>C%llR
zibAFC=%1jDDrZ`!=UR;6n$U~bNNE}_e>=Evy;mK{<XoXV4jV404KXOEX!v{jwt<a;
z1~PNs+#auFgO*NGj`utbf2LQQnpmTOxiT*Hkp?DkXR7pKnKvC1udE;*cG18cmmQwo
zsxkp-j$@baV>-Ujf^gjp8ra^|YJQbt3fxDX(&I!1lExF7K5J+oQY%k8HkyL^lLqff
zF9rrqHka{_sbijG@0qyu9AJN~vU1I2pg#Uf%}P<nYX|y?lg~M@`c9xk+G7Uh*m}sE
zR8+^aD%}sQtjxf3qweFN0S1ni?aOdaQbVtzB?<QT%)n#u(GHyv27U^Cu-}{ayhz?}
z{EcD`XZ2tA?dGjlX1=vaTgAW)OFyPMN1H=fwbJ|wUVXkm+U+18I^MWjEHl<(4)+fI
zITM`0z_<sikG)HwVS9Z;Rm^fO(4v3mv)mb|I8)RwP_Bwk+P;siGvz`!y|r$qBm*Nh
zTO6i#QgNI2-Lco(xUlNzl0DoiI$Dh#72GyS!58^|vNZ#^u!bg8;jxj99imoIsge}T
zH@<x6l0O$B<`3A%_0w=e(A7&72bEExjmmtnl?$pr&-$nDq~Xvpf7kGSGD@A^(ACJ>
z_ln<V@$5lWv<&<dm+D2rf!pm3=OwxD=Cb+sOIua(ftRMmGJZu&i|CR*(Q6K}k6j~^
zJE+JqDYUG6OvD29TPyi9%prvRDu35nD$1+p*W?z-<M!kan|$rfLFHA##MpfbZn0F*
zE2@;kJuiK173a<1$G^7vRy_)C7@K%6Iz+&dTk;_xSIwZ!DAYl6y9(MpHV?EjBH*5t
z%9f>T&7eW!jCa4gGOFmT<AfB+qGY73p1=?XHXk(}vEHMEQE~C+R0~-Yzx6OM`UnRU
z#B+35C&-wyU#<GltPFDRJn$eAIiRneb06-Ku+67!{&cGhK6ol+Q(0;X+hRP~*M2CX
zLdfC!)wMEs`_ir%1shY)4lbG5vQ`mCL)bUMpUa@+wXZK0KA6B#t<MC>0tFQR<k3Nz
zltIDYd}kLUO`yQH$7!940w%}0eGt-;#Wy66+G2SVI9@Apc3lw>k8Cj-Y>bq}{MYR<
z$#>cCt2}a*z6}vuT#Y+LKFXr1%2#!wD;tC_Dm`7cAdhV=EiIMX2`KV8_T0lcV+iob
z)V$LmkHw=W=bn!cP&H1#`xB4PhOdWW=CkBc%g*7+fp|GQ^5TcsPdj7q+L)D8c1j-i
zZi1>s19@EdRd-_3JPV|pl0Kh4Esw;Nq2e9W@_62U=*RXuEO;E*w8=b29w%0Lp75?G
zqSKMbpAYdkbNC;J5Y{A*Cy5z)HaQCTdSoDLsX7bPt2A~GFUsTMo;7F0lN3?&YuV?J
zuS^JwzB;mcJrPZn%S6{E^7<|GXh^k+3G3zeS^do?BCGaNL*Q95j#ZpFnwZFhM5(N)
zX-Nef+pnGX=Y|q)O&u+i@?t{GoihuCXB6<}mjeUrW@R*Y4dVXa_YJTGSyg03T(EdO
zv~f-allMPN4bfnN@0FYXWj|0v3>I=tyF@{UZNv*41tz!#Rp!6+C1FEz*as6+DzZzt
z&IB1IY!Ln8UqvJ1e9fZ7(?Kc@+vQWj<d{(L<gs_c1Q{RnIVzZ*RK>~SqV|3o6IQrw
zR^Rbh3B8ED_C5wQ+%37m_MRydhU0#3FuAFW?W`iwJKp`9sf*dX?>{DpEx)zzRjLYV
zECkd4B+#+z;0Z6+Bqro7>6h)dqG0pC*`Ypd21Yjp9W8BQ!oFF{XQU<y#+T?tdA2c7
z%%}Kd4$nV^9)HQ!T1Q2%wK;a`yVdZ@E58Klb`~6}%oG@Hrecu1<Xp~-8d`cgU0qhq
zf?|PDGl`9=Sc!EPMGvXthmb<iNhM>j9a)`W_(By^J`r}D9#O}VI^s&h6k{k`ZYlHJ
ziH7^WSNWJ(Yv30Sd*Y`E8$yUHN|ZWiXi>aH)GkE>4fVcME=^{G|JKdmZ$-xxo6_H+
zsDZcq%ZDfBcs^wJo`%i}9+%b<11PUG@W#%JhvU~xKy>2Rrw|^`SItW^vpY1fJHu6X
zj%CX8_X$%$Aq-rSZWc<rrGX{s=-kz83ZKsRhV$1l@Z6<m1VKLyl&ib8L(rWAB4umb
z<L4OoU@RnV%Tf)jcf7cA=@$;fcYKvO$xy>#y`i%!64jA$wq4yS$P66)gHk_o)zEm)
zOV8=AYKT2@18c_3psd6;^!_^Ddzo6^4VD^e8(WH%c$mZ3Jq7;@95v)T6rVa3$lE`j
zkQG{Q4oriN74FJvc({CrLe4ol8hr1M9wBfcU$9}P-vk5Q{Ey{rDWGBAKw3o=kGB_C
zS_z>=47{;U`_|qnRcxjFvK39@g0}mG+N-V%{CqUl=>}5KuygCxqs3fsx_@M~?+-fu
zC7y~cYN6oGWeWo8HC%YxZn^w;93A8K6Gd~YRq)^eLEDIXTp-`SN}ds-<M09T(jQ-x
z(8a;K(cwB5<j=Hz?LA7v>-H+dIYTmf{QC8&F^&r+TFX-cr&V$1Tn9nviXuikdj#q_
zabZX?%=D|LDsGZ2xD&6bfZ?9iCnR|1@_%sm;4$7@g<Y*$t@u_R)8966r&`Tn+o|#x
zdqXM~Txn)xmdT+<WFUP<q&e(Z*>s$fL%{~yaNS3x1kC9yZJnT+LyC3qLHQLFOe%lt
z;qyiox9|Akw7kKLmpgk-jr>){6^82Ds_3$~NuuScoQD|{^!?uLGo^$NCP}s~=`xsX
zVqot$!{fa7-s60eWHj@2o{80w!6_BL;NBA)Fp>&2y1hWc+~BS}>tSgu`CYr=E{Ov<
z(Hm+O$Rzx;W@mfSLusrV3tiG&VhZWc1cVtpzqe`j{wC8hX>16O5FX;1LQVR<PvYqc
zsOpm;XHzeY8$ZfvRK73)l1;^%?bAejdsygE%a}C2x*U}HZnp{iGXB0kWG4}qzs^HG
zZ5cdtvs-6ufemxXrTgMW<Z)ZCWQN-@8D!EA=DDY_!RK1U{Y$a(sGIV>GH6N$yI4`%
z3v}6FwW~ckPgfqLdM@832Fc>U(^L+-!x(<V&R6c4k;6Nx<q@0t2xu}Ou_83Y7<Q#9
zJiON`hbuo;#JXH3V1Uzwl3ICV5Y6=$G`lZ{&+<Y)?b#-WUm8Z29cW-d<2T!~>%8xe
zN1s{9P~_24WVUf8gas}E-x*nLa;Ttmx&GZxc@(6+f1Izz0#A13iD$fhch{G=1ojcp
zZ$KktXpjj3-sdb|u9C-Fr5+XsI~7phQ2wc69uv-*zB}m?DUbXcodmAFQpDcEHq*Pl
zOxSF?cT9sfH(f`nBCm{)Fx*gN2hE5Hdj>*hnrw;q+?KTGudou1rw!Zmi7>%5`|FPn
ztwhu~(4b>%tc;t|&*!^+HUeuAo984i1zfhUy*mA%3Q7b@A0W3Ffn8G2;4(o)Ea(m!
z%lMCi+e^7V#rKSWmTPXe@}44|J=N*6N0^G=oANWy-7x}|qsy{ik-VHU^&a@Eskpz|
zx7)SU2#R9%M?Q2Q<1J1wcdx%H`qa5j#Mc;s<F#*4x>^ad@(oC_$}}v?qy=8<G6K<W
zlWsjq$|yKLrPB9`hRHei%vS#}g8B~9f-q49Eq8_8>N-Wo_PPx=X%r@06g`q3C{Dqq
zPfN+6<_tWz!dFCZ8xy>*btOBcQINfg)}6%T$Dc9@ehXfXxP0(;_dOLVuDuRQ8EI<x
zH*4jZ_tU&OURSfDi>cTbdhX^619hxxT2T7Ei3RW5K6*KusG^qm;~cXlb=(xt5Cyd?
zAYD~esDG-8hXMuXN_afqRU*jIHZ+EPF;hgEGYyXrm!}L?YT(~)u`R=QjbXS%RQUE=
z8p`oaI;M(gVoSYg(OL^Os92!;L3cWKujpJ=WUGlMuF-7TUa?_z%chKdujy!!u0LqA
zR}&9L-3_?4&jh9h*6mKPX5fgtYoADvCayCueqSwS3gc51C$I5%c*=K1nz%_5MGo3^
z#uS@E*@I4t`Xy=@ZSrB4my{+R2>rU+&5i>up-~CHtktmIcT%h5js^;?$bR7anFFVX
zHW^-sRKvY()4p}u8hAjH*8M!f3=*<8@~_HPLxtpKmdh!1j7absyDnr73id<ORYhtT
zpCaR`)uM*Gs}0;8j+?_b;nFYh`D(aarl@Rant@&u(Ul%EJic8i)AmVJLlgUf#?L|w
z%&kkl-s#K*DJH4!qN^H;9oi<QBSOc2#-}eS=5b*+@#eEvQfip@_tt3<ej4gu-cB&+
z<3f1@^}6i?2IkdP$b9`tMQdY5MB5U8it)GIr#3NAmnE95GDg9eKab0_MFC9QoO+J*
z(($lC&Xmbh6*S{Um;M$3ST3RE?&3nn?J;k|iraWTmw7w0fLEu$)BT{|V;ZU)Zx+{{
zBH>)(*4MTDTv)w$(MDgJhOJ!-GJ|@GSg~il^}`}AY&VV1T6IPhL+n;71!od5cxTMm
zA6{Pgm^rwrZJdhXm4dIuwdHXs$tRkl#Dx=S>ju4Ssc33>P4D6;0be?)v{^kdhmU2c
z^U{SBOqPhtEA5m;@-Klu?YqsvIj#0nuPD!NIhcrxev-k4sfqnzOU&WPjc;0?KPn^D
z_g3#Qstm@JEu3jgHG|sB$o2S831_uuB>fVl@!k&O9pVf#xSFRj(0ZMW<eguBWynb5
zGv!9p^W_|PP?Pw9noGi$Zy$=)G)m#ux%)QW<{a>QuW{VBL=hK9`m)^8q%iRB$D+f}
zO(Ci$HRD6O0`~6t68$$`3c)QTDc8jmV*I0`BZL%i@L-0O(*-F!64l+AK4=08(sw)B
zHxZF<<AyNR8Y!GF<$nJgXae8wS6H(v<uT(>M@Y!L6sC2H_w8C_LuJ@Y7~u8GWU-(-
z(n%WqcP`|tO<_ZJkL<Oo8ado-JLXhV$NPV|3xm>hHXJwietF4D4r{vR4}CV5!43iT
zF!P}?xGh?ySd-*%AiPe0vP%X-Oh~(=-Hc&Tpr<I{D=+`_U$``PNERO^Qoiy3W<fJW
zIH|CcfI@u7th{sxX#T}c+dGQ|Y?|KTyk-L4S$nNCe};gYbxaG+S+QU?l2bC(L%_TH
z{Azr8x>1m%e|Gc-6F&2u*ljRRz&FlKu>rjExu5E!KEKI?oW}pEB=qD^{FPElWHAvP
zD!sm??_k2$0RNrZ5pq~RI2W?NQUQYw@z2#!nXun*s@mwa9KJ2zcb(p<hz@$0$8V1s
zL6A@A?!LA1Sd*Grx9tZBS;yXV^;a2zSwXpXJ1<8#X3?HM)>Oh6vop~xNk;I?d-KOy
zH=dsEsIQyYr;Ogw?8}P*Mv&{yS?9b+#B74O*s2B<g!eB3_?(R3+lQZAoeBjMSas~2
z!#N6am%5||tTBRZFLZl)!xeFC3zrbf^UJQ>h}JHS5nL%9ywTxE!e>>NmVD$_#l`oe
zh8Gq_Aky7S*v%qis-)lky$!1P^N@<J2(Nymmvc|6wh}%HM|$6JUT#i$I4QQz2wv@~
zE92KyMqdl@m$~cd*gLXnaPLJUkS4j*w{TUkP%|<2!*T|i2|URx;OW#C{>Tnz9SSnu
zUR$}Zm4TG_C$$>lOvvvp?%nl>g0yLS)p{OpHfNmtZp6zAevi+u6xd9~wsQ*`mYAyJ
z(f#swCTn<op7^hFig!;hjbthF52+(WES2K$@)!BvSlZoqRh&oeTem0;R2x2^{3M43
z?b>hkZY$C7)OlR%Eue{1i*VK`-55>=r*7t};N=!hT57;SO*}oId;A8E|B)N#gbFR`
zc*rXD-Mtn~yzp)~>bfHvR%SVSgtgJpyOwyYSx5^zYi*v>XV{?kUvN9afq^#p=c5m)
zXkoYpqyBHU30yjNc-*a#frGwJg(-4cC?#cFS7OJ@*I)e4)@Z4r`(2ytkr7RlXgsIt
z_Qw>Qt|Seth*Lv;(`!OK7c?>Yoa4cv8ytA0YqgQ{R1GOck$lS)HPLY8D~`B>83-<3
zI(F!{8eVOAHja@RsLOOuOyT+Ys616~D_M0c-}o%uw?-W=%}*^gIcg4)TaOQ3QBcPl
z)y)IR@6^!g?G_V?02l7;e^U5!nL0KKgv2%uF|g%*MpRWO7Y>YzhFiW@Ly>OTAG>+_
zwqK@XV(Jx-=cU`<iRJQg!brQ2&jT99j8{A<lmIx-l#u$*P7TA>mI!`JQ^i^%$vy!s
zfJ#|m+4_$RRP~rf!yqd5_FG=@X9HLU{4Lh;V_;d_Kcegg3a%2Ia}qTNc(eS+!<l|M
zrf-chZQG@c^215tJPg2oueU)3)^wgf33{1jOU4cncgkN4fPb%V5CpE%@LRplWqlXk
zyq}B@?vMn)%wt>H=T))l<M>kF1R}b&cAW|Tzy%qXQp;9*Rg5g3>2(_B`9s?xfzubb
z5NBBBl%Gw-cbTUG_Z%SL5v`Px9yS+r*E4DD6BLa5N1>JJ$zt-i8<)1fHix1+&1+MD
zf)81XtG}qo;NRW;qSFE9(4H+#d$C#trGB3Xf5(x=45#jb&2wfzsH5iSe^tUy`7a$V
zCP?8fmA(POF*B%`?XcFZBIEgW&7_<^lGwAs?sl4p8Q7)-#28#4Vb~V)c-@PVsBwwO
z6+6R$(wF4@^y7*c#`%46hpQxB37XlND8+#@C429No>IVmf<MdFSQ2HvD0)n#nu6NK
zY$3gyL>#$Ztf#`3L@iF(j^zrba4_@ioM4|kTD3YiSn=wNdJwiGTrq)r!7@V5YVvsI
z#+e;Ek|pt^&s53}h6!}qH*1)k<n`<7^``CbBvI493SQn}!$jZ0`*Hy}w8|Qf@w4FR
z!avBo$YI0ByL<jdr4jI6SPDgmrz3pV9S`TX8pBlb7W?()yj;YpzVd6GG?G@Y%HHB-
z3|qIoY`eWEi_dm!f4z1@8eg1sN?Xq3yq8BqI`^e4a)=3Wh8Z%brJSurNM*rRLCV(n
zI$8Y2veAWYvKYU@?c#Goo)3ISiCz9k7U%Yc?2+W@f|8!T|IxQhNIpVS-}y=w|BI?|
zIv^>B!j4lWXXBZWF}hes`74W?$&!W6g7Vl=YNff2$%OL2>{}zI1YGR>?Q=(%h{l8a
zS6WOM!NKrHbzaE?RK7P|ovfsQiIgHvX^|0>hFO%EPZMzBu&3wD8b#b#QM_F-$OwMu
zXI?f9kVB<EMer_+gjZ{Gx6YdwK@?*=MDC{?Zp)VtW;`O}g8kXR9&sbMK`}g*a$X+K
z*|ptIBq*aDu_p??8iJA8>)Bmvh&aqVA#oy71&fD_1X?={;Xl#)HtPiyFpev^UO$ZI
zqk^=LlF<<CW4iBrc%y)&g-YddY##s1tS$QP8$ylzmhifVib(d_CHQlRDyFqJ9;&W0
z1by*|t@h<4oE4rSoNiOace!(Gc6AuSwW`wcm(^tan*NdeFPnzhzgAYKj2prO=fB@~
zwklznjg`TJU^>3({B?Ll&Ircd*09?qm9d=OTijyFKqd2?L(4WAL99r9ODoU+M+lcK
z`6#P~uMaq+g{ARysy#zF>J|mdvPaFWKd9jx)yFh%%m_Xlkt*E2fr{#zn>c;f)iLPl
z&S$j_Oc>B_K1cpW#p5nNo>M(F@TdrRO;<e=+)nS_%;a&WV<OhYQbZFYH1A$Xw`4(!
zX=>9aHVyB^C~czWYNE-})PTb;Sul7~%tzxL4Ye|}B98L7Ewqkcb}-l&mX4J^c^*#3
zruBZ|qQ|r_?fe#dngSa-MlYQ5l4PKq=WKQU6D|B700030{}h*ZJk|dn#qB+>c?tI#
z_g<H*d(CUSXh@2bJzG}FEa{t7Qb|fnlog3Yg^UzlB^5$Rg=CLPiH2m<@BaRMzaNkH
z`kc=>&oj^QuDY<@6htOUBYkr;u>IHuxs#K0ytP(JIy>16jJ?D<m6a)Yh!8xJHbh6c
z98j@Z%Yrk0V(N=$DR@hJN8pY-bUYVuD9)Y799SC<U-g-#U`w-^LW46MH?8+Nvh%Sy
zl)p|>nJ}j!S!x?+R+lEe$#BTH{+|W--573-j-sN1_pc5+vL<d0oE7oVw1j_!K~+BI
zskmO&Yk%q{8pbq?_q}Vg1XTq|!p=-8`bIoC5#>U~6pF{#V=pT>`jmNM;20IFy4zAW
zT2qi__iI$Q&kFu_T0VX3Mn&~xKQ9Ma4dgca@Y$aP5J@+OGD#{P%g-&}`CbhNZWmbp
zw*g=!N7$^hih`IfDp-4271v1njqKbFa3;(?`I{95xA*)k-?NpByCZnJMD_zXxugs`
z*J<E-ON&_}0tuDkJh>YW0w{P&-zrwoz)zRE{2c0)@WvZ^qEI-%tf38WUyM3V>~HOR
z8m@?qorZ4BJ^-SstFpPDso|58^?52=i1?ni>D4D|fZurm)()a-=vb%Pcf?l?|2EFM
zTu}mex8=9uD+g8N_aHyx$(KQX)F-cuS;42<Do^6ika4DFy?L*!G#d3>?v78if-4)e
z6$o7<w5U5CmefqZg9VeJKM7Xg8+KitQ;LL}gyg(+izKnH=)<Ro97~v}`B46;P8rX~
z?*8=iz69F2?aAsVTS80z=bTfXO8B<qa)8rcarD1%$6?@_1@OhyJ^dlN3L9U0Fkws#
zO$p;sGs+fl=HrH>%r^>1CFT9<Qxrq$OG%pZ6?5=cKXBWtiiq2_h)<NRiDJXdxg8`K
zb09}<$;>H{$5l;7-57gCk-KT_8df?BHWC)!+1JS7VaEQr>(QdvSLw1GD8hn0?u<`!
z1F|Ubb%#uHy(n%P|5>x~lo<qjjWx8clEq9fu63sk#8BZxyG^K&86?W|UTZ%fgSYoA
zl#u(y@bZ}`JG(SfkTqZb@8Og*X5Ifv+)*x$TqSb9Y@|%Vke~9vB2pUbMCm1|&Jy_Q
z&QI>zY!k@-uEyCTEse7+B{#h%BydXqk>ejt6VUngENs403O9Z;Q_(&ti9(sy@7y04
zgFkO<v2?x^zW(04-p-tW120>=RGo|=yVTS^_k<KW`$$h%b4p=(s8~_Kv=OxI8a*kH
zEQKD7zZrdRrO@&-cN{I%2w*D5ru(uK?qj}r%F!T==N<(|^643YaLd^D<4sbSTjJ%~
zUL}Ls$Ld2b_8Wr7ueUpKNeX8>4*m{!AdCN<nxyKd8p6oR*Y(s*(%50VXO(1+9LlIo
zMy|0jgzN(GSCMz6amxXwr^sJ<oGJZ%ki}sLLR*@x18Fk&<f4`6B~u0b{Qk?63oT5@
zj5LdV&E9YACVjy-#})CX5r<*-c_v8d>s(FSDvNC~rNp-rt5BL-C;wy+6L#>j5<+?8
za9G$xG0IgLL%xhyxY#mbN}khxQ>z@V_47V#+pB_!w28b?T_*U;gf;%imq!H!{sf0=
z5-JFet4^shVZHy49i&tuUeI<P);dncoSv?mYGfw#eQ(+ybwU9bymoAw^-)E$W{B9K
z#f0&NkC%flDWdJzu;dAr8vbxe!%!P05Vq@?JKkG`L8(#ak1MHTmT9AjLLd`7-l|SB
z#+0zfry@h0O9S`Gq$OxyVZtqKO5OlT1p}>};<ctUaPI0cf$alK&`Q>R)Ne?_*)L-2
z=UOQkG{w>Gs$&RTe~29;!z7&e+kV}tn2NRP$6utS8-gAy^Nf8u8I|rGe^z#whNnY$
z&N^@#fuEyDZJv!P)=a+K`^82RnR_P7a*rDU$*yXdG_Q)oCCAOrEokCt-t}fW3dYdb
z=v>oQqK0-CQq<Zm)A7WN=g7JSW1w2+9&mD3$I`DHDwh?t@JU-Lu_n|6h90`cP}%p1
zo~))X#A~6{#zCuAZBzKN%vYCOsDW>7Lno;XS{Ra?d(-TfDa1_f()-Vpg2AB;T*I%l
zup!Z6hS_2U3Q3OFmXLzR{c;Zq?`vTqCnkDiv7qD5XeO626^|U$Xcvmq!u!Gf+OPMS
zgI?h1;tjTMKecFX<XxoWv{Hf6eoG5zIIVmU#;6!|o|P-Lm5%cdwVn?0S%Md#s^p|J
z4ILt;wRgm7;zyq5*xJXIF!`o`_CB44L1RwQ?Xfg$%d3-pzt0MmMx-sv)M;p0Of-A!
zPQ|hc{_c%j0CWv*(kD(D2Cn&@AtXn^JD;Rx{_m@}dB&&qF%_>Yio^#rspFG%MuJ6b
zKUWi#_^KF0MV_{u2AZB~$f&G!d71@K;zE#r`GbNyYl^d*zmd^9VDPJO1wfPcyW-VB
z6tq?I7Ir>KLayPBPKEUVKKUH)3C}f<Yn%1p3AWC6)z2p>)dF~|9<D%k4&@GuYy56d
zM6Hg>Yd*yQdJZqbYTVQ@xxF`cyAu)p<hE%aI}JeAF4RstqlRWTC3Ujp<<L{sF1Rlc
zAggI<{!ODQ${*T0{6k&_CnGxh>&yUt(OM#xr^)DhGXH{;ixmFbTj7(y2N3r9nyxO9
zjQTASg(;nqc>VaJ%0HP_z`M|6<6uX^nFl$gHAxak;~&2FTG0yH4t>|f6=k#)zP{FY
zLJa+P?wo#f*%E>|O25j*DB*3l>O=f`qPX9Gda*{#5~_Zr4jJ&S!Z||t6k}KzcQj=_
z-*MCeL?3cQP8BQQdOka?;IBex8}!^z@25GW**UKG?IdDNiN-#PqYx%}h8%JBH-~VK
z=)GD-@)*0{s9$MC5cPCl>%4f&f*>ku-4=B@-2ISIdia|lZXDQhHqed*wJFP0+gHot
z<G%PevMNG2#q{6!s=*8%o^?$*<0ONpAK%bCn=FJLOO7#@m}W3Xp!zkYOXIq3;(l)>
zVf?fFT!MDn6s9W+JhDDZVQWaYVfTnIDsH)U{xjVaoa(w)=lDwD(KkV(3SA<&YOH8P
z@0JM+F6RRM3jyys{-m!S6-AfLzXR9ln!rab*;i-J6Ht<{Z)=0RIKBj-b9-xzA>LER
zSk{Svjnn=7872}~w<oS{YK<}EDN`KzsRYdTTo5w*C4u-grucV{5l9O~8B|LVQ2hEt
zg79NW6kC;le{hcxd`_3!l^{z%#=Ry!-aG<sOTO7O%4-DP3sGm@>JaefwTVcl(^B}h
zK(f-|h9TT~t|VmTO+a4_F)f=@(s<@zxXu1ehT!7+h_*GCfY&mfMXbw`!Kd!CF69eM
zXc{LcH2x$Y_4|W;1NUW7w|{Mz&n+e#T?(Pw`blATRdap%7dfnMHxv4?n;rF&+2qF`
zq;S~Z*7}n^5vzKFCO>L0A;nVoqD;6n7H-HA@I9q~=8yg}eKx~@aayD!Q&t9*Sd^-b
z^NI-nUOrGq29W#Cl87&5aL2g_r=bH%c%GPaxcCYKwm#`qc$6cHhg&J;;({t@uusC1
zH-Q23mt$_LC&=NKFk)|`8~eYzOpxFSWk8w7>2Tfs@)$$3|I1*K@m&=8WK0kP=+4TA
zYGR4FXvcYFJy8`GO@-aog)!hozqaMROa<f=+4Mw^kL{ys6cP6%2E=rR4fH-$#7xhi
z5yL-fNMTM378Nnz!|RwXYknnk57B=^oKwfMhJVhG-!VX8tFhsAcV#^G>bKA7X$`bV
zD7^SUo(Y9slY_bURWLQ<&c(qA3NAl>w%Rd-3EW?uyY()T@PM|<?8^Zv1_ha^Wpyz@
ze8#YEvlAKV(y!A`zo6lTx~4mn^@iXu7#mzoP(}Q+excy5CfW^cKV;Ko2$>)0sW;xL
zqFj&O4cTLKe0%e^`4C$t2NOx_gs-Y0>q>}5n6(zNKwbKXyfOUAUrdhnQOC7ODqs3X
zwXlH8yOr|J7>K#n#uP;j<h7A%+rCp9V~2g$85Ws<R;=C?p;sDs?nGZWxn3JxB^h@D
z6HTFXtIg-vhbef_uJ}#yxHevOILCVCZw5;R@QqKNiqW};-mU$hjUwqq_2o`1NdHik
zFJC}K$rz8huzYPK+i|77u`&mZpbysRvNSBO$zZ8#Yh#%4y{s553n)+WjMs^zq3xB|
zblpTP^eI^%A1`hR=6#!Ka+NepRSjA2&!r=8yGKRsq$P}4eG6ZFO~clLvtMgZX=26K
zj6!mm6}0Z)Trho0L(#Cya&q=Gd}^-VlCc`VnDUs1ua1U^x!GR~rzrSW=EGXf7y!c+
z{`+BvXz0W_;Gi6&fytEmnZ7E3zg;mBp^7xjyg$cT_D&5QrXk#5nC-*w=Z1RnsOWd>
zM(2W+Dk`&_vTrQ|JQXQFZz)K{t>5dN+e%58((&FnLeLtj@=Citds6V;JWYjcql^h0
z&ZS!X)*vUlX5FPs4Lo1Hypz*K5!2&8Eqt11=Z;0uo()gckw1(^xp74vPk*<i^Y;T-
zaHfgqeN;mct^F?cY|dTMrZ|aJ0+7TPc*3~U@J{WI2mgkokmq8ke10N8g1SxRqC8ta
zw;n`{ew0LpRoOQ$TL50#_Rct6GTJbv$C8aDP_uuvY$rcJeQ}h_8g?#-D#m{6x+se2
z0!i;%j$6Tsr*iGqZe>h--WN4uE{qQ*+KU?JEy4QSEo~z;C2UBQJ>Kgph<jH2PS@|S
zg!I8(i{unVocA{~n4RUvy>*Loms>4h&BhOVwD=X!F*QG;=_4OjFXo&a*R_BqKhcHk
zJbCnN+pwpD#fJe0P3$KwnZq*uU4^i-9QK<(Y~UQ`#rsE=1@f0!kQH`cBTPdUU6R~A
zezx=Cg#C_P6T4XuV{lf{Oj-v0LORmPzj?9BR6fSD%M2FJJsXK6Nh7mOrk>xE4+rjg
zJv?G=1}$g(t=sIRFe>kg3uA^4GYl8o9+#OyS@Wr*ch3?qu|#OS<!yd+HBuo&kl6ZH
zjMEC5lf-~alb>2H3E=jOg*~q>n*epat*dOPBo1e6UF~&E5Z@^@*C<Pw0RP*@oR>V3
z_|sVYPiUtQMq_kQ+IeH}z5MAx$vp|QQK@Y)R}{gD<<Bo1WsO1c{RQrtSP48MwejM;
z<Dz({Qotx9*9fLcBc@h)OQ7O#yt2Q9I9{72AHASu1e0$`Po%d>;Au||Zw7mQQhmN9
zuE7viH`$WE_(<ToIK7lYD@l}9;%1~f8^X**-Ydch68Pz_%gmwy0S}$|Ss*gU1hF6Q
zGJdnqL*iQC=`)f-PJuXSiwjIp3n^aO@=pSNm3LPz*|UA!y+r*0iwW0CoW^^6ByrBm
zf5|XP2A%)AohtR20WzWTN4#E2;;L^S-2%#GQ7z0iKPivx&mB^VZ(RvEJbrh}-X%Fa
zkZ3V%>CJ$w0!OP&a|GO+-N2{hOT=NiK};u!0XA94+nXna#oZPxqqhq9>C4B)7hes)
zaBkY~+D>WwJLneVxO)}8AH8~Rve^Lcma(?>n#$lxtY6G?0cETsq(%=E8h~}r?DulE
zPD&4$lvOvYpm{~l_M|fg&}%Qpy@?`+M*2S}yW2?ECX_J#<d^|CuCAGDW65Jp_xJBv
z4QxNAhF{G+VE`WKoJ2|h5uHa2rk~ZbdHg@ky`)S75X*KF(kW8Fp0t+7{iue=XbxM0
zYuW4cdbh<aC}KGreZ9F;9k2IwniNbLz;ax~yrZ8IK0a`4RBl8A$>KMH<|zy)w|1Y+
z?q%l)X8*W6Pr<ut>jhH|F+g&YNoBA;2{+{IJ)a~@!)HNvjRJ=lFsYfp>+1>$lL8+c
z>s8dml)^jq(d-Hyq_cMH@JllCpEwoSqe@2yl~snmADK`SzwL}yu_}g@uPOYcpoN=O
z8dkzi8^Y=7AN~6h)lkvR!B^m~7IIplZOS?$=)Iu6S<^!ub-T=R*S2V5ge$MYJi!>g
z)2=jK*3rO!GNj!J!K;xNB4V-ahcP^Udg+4aiUwL%-TDwQwi=m9S?l+Yn}DAN|F)V(
z6uj+2PnXr!!N;}J7EWWP5G^|>Qhbn#zEMZph!#31`s^o*;|rVL?zXD`RiNSG_A_5y
zC3SEp+1aV-4+~<C)P$uJ)6n2fjf#8GYLxx4AVJ`_fYFyGjy6P1%weRTX#1^=|FvdV
z{S>u?7QsoKqkA=R#?(yjouD?}*j5`z60m}s2i1<5<Z9yfoBK?hhUmEULeX>oZ&r{{
zlpL>Ariq9AbYsioHPPqqhB+=jfMd6WOa?A$VvLD%c;hS;v(JaNoM7{ObhBTUuDd4o
ztdR>h1`3u3B)Gf&16Vn0<1sT&!;$43=eZB5qvVU~tJ;RvFgtwCgC~lHYa)hBlGxut
zFh$fL-rX7=1$g#)bWyQiRNnO2I}-lBz8Dk{Yz>1grDC_lsn}uH^`=Qv8A~>}H*^G9
zgWlEDWM>l!E`~Fj3STOqm&6*KAvbI28PD-1I%weDzsD;MRLS94o%b)dnplJGch-lG
zF6#Iohpe~lgEX#*OY)Hvv4&W~zp^FHYS^9Jro6$0fRPK%BZ_YTzI^Oc;dWHT&#sCB
zMamMGa^!HqzDoeXg}wS4?8ul^C1WQZC4!w6OLOB60MCvvlQ-LvaO=lU_m|cSBFk38
zpTP}qgz*BJGnMgC#oZG=clmHU*=puypcPd2hVh=NVfTgD$E2TyJjgn?GDUo139A*O
zmE684plh=4S^*huY%9q))2U<$gATttPFN7}?eYxows}sRcsZYPDB1$vwGMwxE|bF`
zrF)?jW}L_j8ug0oG6%5%Y4W(4EItV9DldM+f%laTk2PzW!=_oSi?N@i**srAeE$Il
z`kin6Y<ipp<9dne>2*@*nfw0zwNVaqGqdm9H(>_Z;lD!1iwP)W+jS(^niJ!8%htWJ
zHG}*UvkgNvk~oq@&kujeiRTnNjqA%zffy)mTre(yqvPU^yHmJuMBJYdAZH4h^=XTW
zdJ>qRNw3uo<VNB>F)!X^6KMV?x(@Wj@oD@q@i+cFsMTz_reWR~hF-nf|H()UEz~~W
z2|vn<&v?W_%l8_?7R%NrO%b9v<lnUJUp*gI3LcC4K4}E$LUB)a4~k%<%7JrEVgk7E
z%Q3OU-v~lGE`H7XPXz0~>^bx8upsUf&~^X%(GcWVO#6_vB6w)uY$6AbFg9~VaE*o=
z!kxE=o0d&QQ0LG_dBb86d@m>lWh+ehQt~?Fg@*_}iYUEY6(EMz#_{6^&oW`k<Idg8
z0udaiaZhroO5pf_szwZj34sqKs6kSq$e8IcIYyF1Udb~vA0IP7<V)aa$}Le8*_i+A
zt1bcKay9KG{25TNS=I339x;^q=zAsDiQU7-BFC&m*}m6sQEBHEaU|E1{xFV9<BPf3
z?6(gLKxB-s=7f#}dV5Z*UFed*d95iAn+OBQ*fP|4=(z-*+WCjrsUwFS`%QZ}bqt_o
z(EH}*Xi40rd-gZENFKE*xi@co*N2?Wdb#Z;1PoEWvb&n0fH&Thn7(V$hr{X;kt*U+
zsCP#3Xv%v<Y}hm3xg|p%ijrpId6%Tnz1p@uFh>cCayNy1iq?nfR$GDeWoZ=B7<|=!
zNCktl9Cn`DsSkpE9eu{qvbc|B)w#QlglZz(Va}fV5PNv<pudeA=9g!T%_A9Scw<&P
z{Pf{ph^uJ833<%(!kZ#&u0Oo!XgeOM58|xzy>4Sf97+r6zBR9gW_fYXH?z;P$2+)J
z(Nz(7YdY?`ku`9S->zt$c72HHjZ3y1T7?(Z=)L~Eje>@CuLO@03?MsKeQ7988Gm_3
zayFz=kqvyA5NZIbTkPXD$&*mWw)+5o3k~}&B-NG<89?Bg%#quRB#akxJ><BgiL|S+
zL452!MabFy@y<9Ib5jk%r8TvX=}z_a6kx)Drks3Ck1A@L-}ZTHtBv7SPY-T>#Dw}K
zj=h!7)bQi;G9i^Mt5GS}QJV9DA+(AJkdCq&;Hq}RsC-i$1e;$kreclYrAx@wxH1hS
z{CD`rz9k(zA{r8OHO?5i3KJjQ&7dG>BRRtPv@S;Pidj>0-UKGHUU1$#K*gQ!4#;gA
z)5UPL>h|h7Q`p?oVV<^@h6#<lfAtr1(R*)C(U;F=aMgI%dz-&B{0~ES={(UzrBes3
zQq|0%*ieU+pQDLm2?6!xHoCYe*DCmlmj#SJ8hBr-L`S~iva!(!9sFw<`(EO-B_vCE
zSARG}NAt6)4x6{F#-o%R>vVSSAhOFq<ZU`mO<$E?oYq3R{z^J}0&vX5uDf1GN27AS
z!ToFLxOB>Wc%%z}7|zX_&Y)x5iMFuqK{VWGAfr`gU=2I^whJlS(ea}G<;n(s3a)f;
ze;-S<2L8ro+r*ce_`_&u<)^(m-rMYbgL&T?Hhc8g-_zB^+UH6-kLaqneDcer`Fm?n
zQ-A7xaSsg(^5XPKk|cyJa(9xZtYIW7+Vyub702c&&?CPJA8xM<_ZYGU?w=kNfhQ;!
z*=;kw*-;*cyS9HVePRuPU2{D>`!#U+ckwQtx6+uK!X?&`Wexh18Q$xi)v@Bi@*Va2
zlE|O!-@RdnHQWvh%f76ohN9a2M@5%JajecmvRug;WZkaST5+hNlby^!uALy7>^)Wy
z{0bnyofbi3=U=ST?GzOcUX-2F8>o&47})z|lp3sp8DW0M<yE+FGt+A@kqThfUv!jY
zqJ+YSHA7Pr{xvC7xdrxKv4RGoedZUEB0hU2UEx4kY8ueq$jlnEgnQ=`a>uAdtaoj^
zR%5x)lpc^i;-_T^b$f)gRkq0C`x@CqZR`1_Q*IUy+M_IB;zG@uysI)8NWWeFRODBa
z#;M~LQjO;DVU&;*DJ+fWNz<1slYTZCJF7pC6E=sH$^?a>JOVyiYT`MX^0O(1&BF)1
zSg<dZ;(W?o65G4f4*uf*)wJ<--H)6*W)K2_x;ab<{1Fn`9{c%MQ`w(iF)#Vepnqzs
zf1AG;D!q@{<xTqCWKns$)O5Egz_mez(Lxba_S#0}%wA~9G#9%v_rwHzyDR6NNWy4*
zu0Obb>tfT7$$zdqbQ3V|E~P$wCx}JF!2A2mmzxeJ40J?aForWZ`)^M@6~MJG^jI6W
z{cWO$-SpkaX$;pZxErEB^CM=J7B$&%;6SxuTtbu)tmD{k<Y&c?Vv+k?W8>KQ+r1}8
z?z16yJGIlFKjy>V`^%ftpKzg5+GK&OzagyB*`lHn$%m`{sJOYQ@ZjLst$#`5Ojr)9
z8&$FALwoalLfsi&d>$cuJtT+;ZJ$|}``F`R)cX&lrTH=H_rJcuSq8WYlqXlP*SSaS
zQ!uFzz@a7r=~o;B1Vi>2?r!A6T5p|E+aMu)Enp_qA<h7%rGXBw4nO`}m~N_LiC|Q9
zOH|qo1E`HYSh<4y=zAucuvSM5A4Us12G|&Y%O&SBp@RY#lQiTUMwY<hpl+A*WBPFV
z9@lr%ErRIkT=3h?QW7tnH4bn;r4Oxq$9_z162je@%R7&S5l}tgnuDmZKD;Sa?5f!(
zjKr@TrDZizc!ed_Df3wm3J=q2E>wvizaNC0myyBK(`$P^7V1HE@So^n6){vey3gWI
znk-hUzTzbK>%sJgm!F)g#If>Lt6&aU9v6>4+r`w;gSibSf5_EIVB+4f5{+&mp6*H7
zA<Cf#tv%v5|J;&9Zqw&0vey(bYt5mH-)eNBjmF_@RzpCNr$E)ivq~tvU$gbYQC&#R
zmeOx~Cxu&U1&bx}RIp+^@49M$E{IxP(!C@pgQ_{#k~*eH_;Bx%pzSVQ*iiAjGJ3Zx
zT6FzME0R#f(*?P$s&TsT+_lV?{z?wh>@Ut0+Noi}fdgAUu=iz!`30G}6LIG%^||-w
z)X^sBfc`H*J<wl%H97W20jtU%i{X?8@~-;tGRG!8AkPF;^RhWm@T6qY$_6SrKS}RQ
zX1~wu3+0meRAm&3uW5F!q@h-0e@!w$A3|zpBp4PXtY0W6MX1o({Cv{%&lP=`NOO0{
zvLd6EWm@y&Q(Cx3#3R4j(f~Bgb&T@tRZ$?=WZLhmHrfZ?72EL709dS7D`Y=4OgCNl
z`@>QPIdAO0^y~uz=8YrbTo0<F?2QZ0o*dA{V>QH`x&2I-u(m9#OV>anwZ&T@YxFSQ
zhevtSFGFw|s8Qi6reNj95t>Ss9zHMKUZ<gL46}WjEUjuP_Wr#7;03onx`lY{BF37)
z^%l>c|5ek_a_=f}e_eg#_*<cxIBW{LEVkV%xu%I?-I<Pi_4IMLI@UyB8w)_c>=q%4
zj;96q*T-||qlnURr6=v?aAdIeg@BqCT3mGRd0U`|Cv(o7545%fdcb&w<}EGss#r{X
zA)$wQ^=ZV~n^sWidTVnVuQqahICs-ATL)`5>ii+Z0sIdD0RR6CmuEQE4HU-hz4zXG
zK6vc$KOP#Cl~f{W7!@Uw(NI=On~ad^Efh*hk@P<l6$vFHBML?K-d<nNhjU%$y6$t|
zzxz?*TAR0y7P_;lD_nT1h4%820ro=Hko~1m=eN8Tp8nIdtMQfwzU`~F=T5PPNb?=Y
z`%@D+Ju(E*Kn;0?MprsltpQdqc_sU5V%y*@k2?j*XkYL>`@~inJnE%);x5;~Qw9NX
zwZe+XbaQ27=nM^HoVT%d_NXJ@xqwyPSUK#9_A_~sM1yY~m&bo}so^a3rHPA>6b6SL
zl-P5P27Ev6xy+ZUV(#L^Q<Gz&SpDVLm)H;*boC_*RY$0xd;Z%Q3PljF|1<D)v7y1k
zwrDDonlf(rLPXNn^PqRo)oT_EH1H(rGB(sH;{BmXvor%X<bQeGsrtD!Bwc*`GwHAb
z=DA;*q^2<7GRs4EV~_Q_+%I1+;gZJ;s!z_Fwk6X4+E7mH62PpQ=K-A~vY5v3GxX1v
zX;O98=oTdvprO{{lUa)to~x{iyzy$7tfU<&vZDYnP>+<wdrRPs>)9+K#lOiPZTk{C
zuM<%7&`8pNR}9~6gz1niKS<SK*Jn>Ftw5k**rlRh7{9cqKSbXqvN>+Vym{IZuBS&c
z84d^{A8oFvfbAn0*izgXr)del_gsG;$}fOwaxn|DEbqvB*URQ^`dUEH&I0iE<HL;O
zXU-idtRmf3?xuw0m;;?|oRZuZZahEWf8Y&U4f%PCFyo1TW>D%{{6<WM6B`}=d#SSZ
zGx?=`@b4W%Gf29g{;}^h8>)Zfdw9a{D;dfs<~9{;3JygzAqIC@@UqU;ny}bbvL>=v
z!K2*-n1A<IAN<6G%R`lFH#c>WdfQb_z0@}W?oA2DUh6R;SAS>Q=(}FBQgEK5_qs8(
z(wq36ZKlWF|2T{v3HFoAJ6=SVOc}uoFYkMDg>-oR)v)r-gui5N?b`>u9!Bti<8A8g
zqiZDN`Q1S(Qp4n=?We!>HHPpp@0-U$*9tjV`#@QtZj5}`U-_rW$Pk(z65~sEm&uR+
zu31OcPLNFwMm==-R4^=98(%6~BDXnM$~~-@B6VH*zS$^Jp&{58gxQwJQHB$CEjUBo
z>2OK9kZk~Jx%GtFy+yLh(l9K&WsWRO@O$@0)&L^sJfhpe7D=yip;85gMRJ8&Fx2{=
zKCm4jxi2OxlG0tL$BZ^Dlj(~Gt~F`u!{Evz_MMH3Wc$&^dlHXV$^6@_fjO`AV3%<3
z4MB$`(kozr`&}v>W(5pZ@7$yZfe*rsEmxMvl}&#+oJQ#}xmD`>zaJFvfAuY6;pZ}`
z;;Oe6=D~;|t7!+122-GG@<K50%nHf-zTlS0FD6V67)+etra<EIN$FmTHPZ6?QxS|~
z!E-8ICej|d5S(ASX5dMOaaNqwA$DwNcZM4M<-X3kc5FAMQR#8NTfn7p3J2P>+dXrb
z(uQU>|G0cL28{a`6VC-)XtASIiOoS9QdHgsRhcrPyg4&-TO<$O9k@{#SEL0>^Yb!c
zhnVn<eBXaxg88t&v56~CMhisG`E}=(F=KeTlj*T4eq<S_*1wpl3A|$A-$J!m(Il72
zD^EudJu}YkXpqu`9TkfrHt*Sx`S$rggJnWkZGsCvPc`7L@R_NnF&sEaAHq=VD}q-S
zA_fbbHQ>TrSanJu7rt6N+ZSythEo$u)*Bf#U{+A9hdGW1SyD^cnsp@5Gkoc&T#Y)&
zGiL70@a03**B76yI7*@YUPIRNchrGbYwapN;K$n8AL`P#Wst8S$%^l)I&fUDWP7+O
zfTx39SLYJsaI88%q%Tz+_HH^z&V&k~CYvem*A98)Wvk=6LaIZEbfA?zmk7?PjvTGu
zpokv7O0P+>Yrssz?@ZozqWI&puldy)B|H_w)~6Ps0q>-W`~ow?F(hTeV#QMhw<TwE
zHw$Tket+F|#S}>ld#l98$Et=Ee9tz%>D7b}seEs|o=c;rgX-RdN_EtXWIWN^uLZZ1
zcMD&bl*RULwupiYnrJ2a+BRBM2i_`i=hCUmBg43R_tG|P{9UGS<$J-p9!kFL3-wdL
zZvH(!e<XDA$er`E%@q_-ojD=ySFDHvpZjdK9H!t#%^JU;&wB8j-8dniMH%&O*w`I3
z)kDwQqanSF1|VziZpG}af+KHGe{xa}jr4w)r5&U~`KNj*wlY;55-QeHxvG!OC26%D
zBZiQj{XC6}QypW9FVDr%8z7<TIP~?lF=U?gE;Du1z|f?4jxZYoJkn5?BI#!eKd0ya
z7Di~|kp6~-HG2d6a@pK2!Ok4^Ukg*LkI}+!hP2ohd<OV<qV7zVktM9o2w1<`uZ^|v
zVSnj0eY`oFQtu~6fM$-#-(OrhXrMc}SWu&fsDCji^ArH}>7lx&2pxRtazE3%l!8)q
zcVZ5>S;GrAownNhI*3H8n`D~~7K)s|{YjVxsg5$V^D#OY*JH>l`a=^b_pkBmy`({#
zmn2-3(81M;6sI3aYB(7v*ZEG*2IM`?K;9v3d>;37bi0Z&+URXK{5#GDj`wwZz8tEB
z{lDDPB%jNp;%7@8$6_0>Q~&fedxIvPQT}q|X|WVu*&X|6w$uh<q}+R)eyigHd-{s>
zb^WU!@#0L+vVj+`9zWXYu7)zc0%KPn@u8)QdV!jc4P4*vJ3m*ff<v4xw)z^Z_^QyV
zLtoeij7u-e(Uz33Kvz=B@B1=&$L7Tg=jSwF$p{dLwNOO-+WGdu&S6r5`)pUKEe&!#
zlpl0Q$>W2lKeNj(D#;TcOk3ybtwC;#p_}`*ECxK;^xc}bi%>arNVa~PH7LDyp77W%
zg<W$3y_-cx2#M&LHRTonI=TFl+$Q4qAm#I-)z}oVPwN0&K%>87pVn>wrnpzT-fa=V
zE`dv$EERLa-6Lf!ACZ6^xkpDHCkbNLCq7;kVv!Kl;*q%e%?iflO=LRx`BDAXi_>&v
zOGG%+^7!WwOBjy*#c<*ZH#&<8Jo)RhOthIs+w<~S!rn*Jo~-@s$i%^zUl+bioEh$o
zJz-`6Kdig!h-_v|IM{|Kq?U>MSp$b!0?c7;I!j~7k^$4=i%oS;ED`r4=$HF)%wUlJ
z(-zO5RdT7c=T~axB9XfM>5$o9Q`lP2`jL@mfwW03zZg}pKm=^EdFD?s1>Ya!fZWDu
za)(dY_u7(qLhgM*AVZW1<h~z`7-JtNDZ}R&Y-{F-62`|8cfT1!d&itd=dHiwz2(o>
zcm16uZr_*b_@!+OHWClhY-W2&rofn+s5na;4q{3Py<!Ac4tU6L8@7>qtFA@!o}D4Y
zCRUiaCk-LGD8QmWr;hw5w6|GzX`1lp;@0x>Fa+wGmVkJlVsf|libP%3G$FfnGT8nT
z73RNx`_D+WkVt%{K7QA4nvhQ3^fK0*3awe;bXKA@#JwBMU%$9d6L%7hISf5Bfbd|U
zkGCtEh<`k*a-5;l#LVs{EjKL#V5wKXb9SJWh~fCD@x5%CsL*FteehTx+FCsq)>6BO
zV;j76GSy~?JCUTzYb||fFKj!T65dNV9O`ZDuACtPs|T*0E!KnF)hRAd<~~A9F8#S}
z{48;+IMk%WTn`q6#*^=#86aXOHq{lMoFhhZ#6~JUQXtM-POIbJUqV?eG0HP}p0E@@
zeM;1w0@gt)Rpsvg2!)fTF-<)SglAOH_gC$@P{5h=^g!bXv0b;TjNNOA;IZelVrJ8Y
zyVU4lLTjA(wYnqi7|#mvV=mi}+foPqc~BY+&P))ecb>a2IK4`Yb;rD}57&mlvVm=i
zKPQQ5o(8w$m*`;GY6Tt2wV*drn^}CvG@<*kCttmc9uhm6L+>zY!IayKtMb4M@k`F9
zppT6a?(BAG?A)#i`6X!@0ZDVjs$j05$!R9|8-F^=pg;rE^m)(d?_VG~W44ELiLgMp
z>9}<lhXy!2RNVY;#}bh}IU|3sofVRAKQB`~t`22=J*>7TSBMXvPeos=We1;2x?fNJ
zR0G%N?CF&1HG*6F5Bry4PM|+G-MD#&8eGoYWOz!69(Zesp=Y){K(m+9F>g_Y#{sr}
z88Hk{S*MyAc7zWm81`-F^HzmZ`M-IV8JJ+sSI2ovGe0<&|2Xn;S_SHJrn6ceG6Tmh
znWhVS1)<lY-__}s3fy=47?5?070R!1FR<_lgW|WDF;koM`It=Y@&R@jxL7WVe?{P%
zO4@)FoeI>1N&IS$=Y-D9HVv<b#o$e--k-^OWjN+=v)Hkd8)g>$=ayt7fun{96ML!*
z?i_gxE>u3y)nj^cI9eKB`B<rV<S4_3Xp%=djUUdhG39;dl7m7~(XZ^UltC-V*yz2a
zAo%|o`Fb)$9;zAlxH0!DL!twV%*je2XsGJB@qI=CG}QW|8>uSr%(&-|ZK4QdSHX~4
zvJx<xl@(;=tAO*;(FFEWVlbfjm>70Yfx#amf;*j5fp;REM%<JD@14&tXUeO=#f7`4
z?x?7NkNLo@<|ZjnqGrwcacRKz=HcgWP1GTHXpU#xR2GzcH*RZW*MbW9gPsXjG$88Y
ze`DYJ<iK4<_JEC`4$R-4yTq@(&Q}L@xOWf=@WFVrxRsXz<tNXzIm+t5q>RR`;Kz!v
zJ96;OdJ@6ddlTumh7>TEs@}z{s0>Q~ELBWc^}$iInK3s}4;*Kc4`e-1fw$82x3d1|
z!z~yeoDwhqkI&u`PU>n<xcd7RYn}lF@{jIwuA{<}B({cIkJO<~BDeE~1r;{gwo_Z4
z8NpbzgtYTIud$wO-q(;u1)0+KuMeRKRB+ng`F&Cgk~FS-CX1+0xi#~F)rc9mpL!dd
zRHzNfCL8m3BiH$$_QO)4h9y+YOI+c5p#!5ztW5DE1`wZGRT=L`fL&ZCFYT-@Y&YM1
z?+}{-$p4Moyz~LUd8T+FgN_0wS60T8>-C^XH`O@)gEeSzt(_N<punb3AKsA-6wrBD
zb7of_4SItl&zG@L;PYiR9(FoysK{_V|9hVexVNz6$))N-*n=&<-$<)NT0`AGmQfq1
z-T%nd`-2WtpA^}+%&QDmnyy7fcDB&j<dWo=rwz^}71ym8<U!U@LWnce7H%$Eh6UPa
zfuGvBCK(e62)b9)W)NZvY1GyJ>IWK7>JioHu_OStvCd}6>w6Rw)J?kD)j(0hULkUx
z4XXQhMKi70Kv3CMwY+f^=<V;1WLf`j={i5!&}|!d?do_bYgP#$jx)$Bx`)W+4sZxl
zvH>Ii;?dPP1?Vg~K)3f|7x|#!AXWB04S37qYxl0nK~cnu!(YBmk$c8w95;*8z|>Fs
zU!#T$9DL!}66n7|s)g*Eq+GRzr(EWODd#0%ch&bWL0bkq$$v>`iP0L${9G2wxI`h6
z2$HJ!%!D6}^#dAC1NfDlzIFYpAe7nr>6AyYAO~++g2*%hx-UoSZ?y0MHLaw@^b#xj
z+PlR6oVS9-NX3({47ect$%)W;K{gCw@ta9!vx0@2&lL6<v%+J2tCI^>Y$(vbw7f;p
z5*X_24Zl8T05%EQiKnV;7=Fw;`u1iE5c&7;yZ43_;?LZWa7aHZDsRd1o(eMui#KIr
z5%V)dW|Zz`sYF&BJRDBs7ny+yk7~L9&r#yeV^`}ORaR`6*?xh4(iH4U=M{$aeiPiR
zl5Pz(EcpH^ea~rgQ>dGJ@0fU@iFoape6Zj+3#Oj0cHDN^1iUrfQw;}ikd6Lr3R=1>
z_=)kr1GYY6*n6~r^1Qi;6mJ$(y2!+WOs0S0)M>^bewz^LJK94I*xa(rpJ7H(1!+c?
z93yzV<(9~4i$7#&?!GG#%q&=Wq25P}&j^ytZCY}JM#!sGA#E~7Ecn;yL1B25A=np|
zs2)k0Acc*%8E6+-kk2chk$##A{m&0(Q!S>+-80{}Q0Z84%H7yCE07AQY?;h{Z)eFq
z%IIH_Ojh*P-m0KCYyjI_l9L;i7Rcgn`(a@Z8@|X$d-?d70pt#SHw=haB8^;*a!zby
z$Gk-Q%MA1Sz+op<9$vjdvftUWReKi)zMjdIHILJW2IjB}AKB>ekVDTfQxYeh<Mn0R
zC#nw?daLkDpB^7kd2{F&xbWVnlTYFkJ@_RvZrgg00TYu&AN@(>!SvV8sh#$EKo@WS
zV&i>AyccGo(WSzNB4@_7#0*oQM<n-Q{wNcQN)2)BmE%W4o`Y@WNfh|<Zm`1Ffd#Wh
z+e*p}1aP2n&z~lsfK3zKy_(AP`_&8%y6zXm5?7;n+rPTdwy%Mi*NGi<H@F7hEfm81
zZ5M7^c<REYhEm<L^BmYKtb15bR0LN)o}EbR)&U2(+tJRITzF>d=J30BMRA!<RVE`y
z2V&e*zf~6S;9x;v(S<GID90euQ?c&Hu?iKd%zOEet-o>qadAoX9IN^M=94xY%M}sT
zJI#+`6?Qk@aY~~dRP$#hYr_l1RlyTa1yHE^QS?JaS)3Cdd-n9CHiXvJZ{M~ki0)gK
z_{NIl@XxjJ`TN1zpsQazXXGV}zXIu*+<wcW`hk7gXA{@w^a@FSog%n)-|N>qHAU3g
z+phoky*8BZu6Q>YDuy7c_5AcXC9F~5JvuJ01JSb^`qDKe@Y7>UJLy4X%x;n73C-1k
zFAJ_tB`cCBAJO_O)LRv=a)~=Va@U0&+A2>3hNUs}?!hm+eybt%z(?<N849qzHdd&g
zk;Rhv?BPR!8hGH=Kau_U6c`e#sJq4`kB3_QbBE?N@xy4MNwAw96yC2>PghsKzC-(L
zub$P$`Eqi$K}H`U+i-r;NfDimsXV)9bnxweDFXcL20&)izHB(HgxrSnj*jXSRBxP4
zmlUQ#bpFuxD+S89_tFkQrfLdqd3nUBlV%99&2D=h{!qdG^Ugu58};ytmFAY&>qhWk
z=cU*@dNp+2YF5XZr-yvwRUx6v#*h-fQfx1&jy%!6GlM;PI27)inRw0=2D8rw#mZ^m
z!^-eG(?fc=B_K=iu!uQ?i~Aj|XV*koRyoEysE4J@=k{$Vu>dx!(v!y<G_hy1N0pA3
z9<rBrPT$yO1z#OkVC9e&TDWbV*jGhCZ7KF==YJ7ky>xJ`{Hqq`v+Ztq-KC34Pb?Pp
z766o}B)m0c(#CtgJpJk$wNWqcxWtp~*05$jrd__Mh4VQhPtFBu;-*R`o!@=dP%tO&
zdHaPHp0jE9+x}4vy{(L+I(E@O^-;QBq`nrOk~XYSSWre{Sig3(kOq@pWmB8NG?B~1
zQ&&=45xH*$^ho}uK|!n|$)2Ero*uh)<bfO(@cVyeSfGJ3HuRr6qK-;KdCe-ElK3@j
z%Kq5|4ayQ4Lkrc_@HRv0wM|pPcygb7nL{HD;#fakv#C=-2{qZOSFZdR*Ey#DER6<F
zS&H}+-IZ}ceYkT=1P6AD9r#G^M1z1lJEfl;iYTI1w%z71Bl`1c8t$I620tIU$6g)^
z*vRP?$2Yl1TKJ!myKu`IWJ5dM(!1rbs>t|8HD!X-tc>>S)Ut+j*#etiEix#VZW(M`
z_lqn|{+TU@01Ayh7IxfHsH5L|-Jr9UeA~R)=aLJ+#*XNvM}Fcc^fObuBdC~=&hJ%B
zt|ov_yW<A+p9nhq`*dC=sEIJ$EuLUFWCfM0MGKH2gsUzQ{!fP5iIeUe9EAc_pnvy*
z-^~aC3@pFq(cRL$-c#r_g~1ZI1HvaV<N5H_?mSw_i5}u{SuLGVhy|oIm1N$C;l>dq
zyT4g`dx-QK?^YM{%^~?r>{f4A4qW4{zLeb6O<Y&m`Mzh!47i6V$@$@|sC2BOa_{pF
zV&CQw)e>DZus4Zt&Rh4xAB=~esAaSg!u!6eJ4c#=95;oPy@&z(r|eetb$ulYb@$|-
zt~G(Q8}aWfU(w;w`=6@M`_vIHII8Q`WKBSSuh}(+l@;>DeBBd{D@c?qzADX%GzPMC
z*guSZiTt$~lK1ZYL!vlf?4HyQBcRmx<humTlL>E@j<_@BlHw{Fdp24b!PmYK?~lYR
zInVKydDk$KR!#$|gE@vka|z1`^PMJVzpv=MU8^JgcI;|v6*PpwFNe)4Iwr|ySzT<7
zk>AK@C!%yPmI~*+(-f;xCrB0V_Ib)c8|ik<UVm}H01yjjPbZC&F&<~{gl+03wRTtr
z{tY&Oe%ouG_TCsHw_E7WIehIUwW}2eQpWV*k?pcv&4E#}=&SEtu9!Zuqmo|e-!Xki
zsaw!5OCBM;Vxpqx&Hs=z`f`c-DLt?dy>wbfYJ?p2rPJ(K8zg_;pSz}dN)L9dz03@n
z8YX8irUy5*4wHA%8D0M{>w((0d&?ZcBjh&5rGTVQW2FC!H(^Wbc@&W$Ch_w02$|VD
z)+Tdwf-IwRvUO9YfT(Md<ObDIQXuitt9;HW(qcs}rZGep&JGHx-Vzui#{{af4p&Z-
zKSgZcZ2wOOh~5}~Qf8dw%&hjjo-|AD^k249YuAQ|FZm;V-^R%msSdfD@$=;Gv{-(c
zur?^s^q=!Tnjl}~RL*H-FOpw&hbLz5)Pjqv%`TkTlVr({(8{B~mPyAkv+@mhHNocQ
z1T)jCDe|<7lmoi0kvt9d`)FetkjoZ)A$@Y1G@oxb2w$Va2ooZ>&{hMaR+ELkyUvnN
zokAOBgBdV++okTuchzCUHSw-i*BrUTdehp7g$Wb(R+j}Zs)KHX3xC{=1v02Ldv-6$
zj5l<*elrYI1N&3kjvJm>A|*T?-n@K|6=%aXeD~~Dg)d1b#yKvokZ&#rTwX3>$LCLf
zF*xs3g@}t<u@22^B=zHC){T>#$lh?HIK52;xKgKs_iNMRwsZ^sU59z_g~Gst{{8EG
zoObbZ_jLxmGO4g=b&U`GtJ^(U=afNWl)oxolnG0=d~wp|5J0A5X7}h*l;O4T4orN{
zj83cpep7jZnB~yq%xk^giw^WA_-3%8<EfoQ@lj!Xxc$$w!UZK@%^ADZlFg3WsN21B
zyhM>b&D}e%QVGIO20H)z&WU}x#=+vJ#nEol_i>dBCFlvaRIjq;L7!5!nXR>wDD_Ey
z^P2=EIP+>RWif;g&3?A7d2E$IUzOoAVONxZ|95Bjg#mtKb$jqUAzBVU%*pi56evLz
zyYJ49NI@JPDN5hDB#-G-ft{iMl;GT@JP}I+VJs}L7;w3vh@Jwj75xs%FyqMX*u*c2
z(s9jE$+pUPE?&W4u3Z_z9MnZ3#l-P=K<@d2LaHeI^oYDdiVD1Q;?gSIEQz+&-I~8w
z)zFL~@XUjYs=#vAQ_AW;Y3%s?EV-CY6E$4>B#*vX?<b(PpIb-{b&P^kFAHho$$?qH
zX(J7|K^J*x`LH~GQ~US#v%W4yxd|WZrPl&$A*#|+vjX-6zMYB6qhPUErul7U9cWFp
z98Y#qLg#e053h^#P%E#3`ffV~Do%H^inl7Ge8SAc*+=?V;MN>`^^+dRsWo@(^Hs(E
zHsjdf1OvQOS>nBO-3O|Vl=S4xuIJz8%=mn3Do!Wa<*hjwf?dIE&HgA2EYM7jR{uyv
zuh!CU2X`4m*qC{u$E+qUHSM>_;W5Nr!<mvVFPZ}LsJq_}CvCi?%Q{)fW{67t^+n7r
z=CHgZx>Ytx2Lm~JgCYy4I4l=R*`RF&Z&azxLSgIqo!i@AHD!Ru{8F=rEdg}%tK_qV
zDVV=G%5J7hAAi!g6h_^wfwJe|CZEj|tP^d#_#sFStA_8ypLeA}o<{eLW+w`6{m*IR
z-ymINqFy=`qP5=Ryf;a`Ugw^W{kJ!Ny`qVB@8zm;+ibvWck40c0$s#oNvXmIRngY)
zzhQb;Tln+2{dh{D4qkp!TAr_<h<V4ZeE6Ae3&IBG+CJXe7~AnU!e>MpeJgfe<$h`l
zW%ngF53h4eSQP6WQ63Sj?(`G0O0|V$&r{mX>>6m*&GP3$H8*C@hzsht+d?uScBWQJ
z4ekBJvojUxQKRvNNA9u>oPQRsb3{}HX*?qa`wtJ21vc}WQZCv+sp<|_4^}1QyZq8C
z`))Il(ag2FjnxJeUj3EMnU}|Amv1pu(Nn}iVI{xzX&SV-za4rrB#Rsyb>CJ!T_v{U
zc%>MPSi`Ni$7UBeq;T++Kl9f_M%dNw>tXF>4em=`kK6Z%Vb=UU*V<$jxcdNIR+<13
z%5uGe{t4kR7LyayM{Gd7Y6fcd01=BlPp*{mqffZ-u7D+W7?n}di@QbuBaJ!j`c-bM
zlb1fFSIPlb+CD5sr&xj5e2j&FE*qv7Hy|$yC)BfjKN<4K66U7Lw8Wekaa<zxKmao*
z`0ond!SvArio8ceH#V)1+oCENW*RvlfJb0s#)LVD=<|us|Cu3mH6z%q&vJmBks{|Q
zWph}Z?N!`-Z-n$&NIn%O!vTsLj^uRiH-na`himQQJ)~!rYtSZ=9Zn+q*0nrSNVwj6
z{`cM*lA1uHG8|zC(bRz=y*U%0D#xcCB&vw<ckW-x)!Bjd^Fmq6Rud>bl%r{|tAmJg
znKX*0X9q#PctyWQ#&9LH;%rGzKk+{R0096043~E}m46t<?XB$WdCbFc&avnF91;>r
zMp8&h8NW!`qs)qwl})mej1-miz6h0;NF*cKWG0)RfA2q@?{z=d^?mO9bLVt-&Yyow
za3D1Im=Bu<j7#m*lw1Bmu6SM~*swE$xwq_g+I4jRuVd6#*_M&Oi)S?s8#9CbiHBA9
z$JC&IGH`-cX%$H?TdyrDW(M8N>-`e;YLMI2MlnCMj-<(QYHlmC0M5cwRiaxJavugh
zrRm#5W(O9V;s#j2>T0j|RV!7<{P!_?FlYx!A6zvLe$EOjxZm;&-&Nqn{nnSK=&7Ll
zjpOl!8a7Z5A|d_GD!_g*^GdS`HB47eQi+bSL#OU${NDvK45C?<$Kz>$Bx_jah#Um2
zkNPxTQDi7ls$p^Lp#{RTP_0Z?4!EK1!sRMT2J^CSRaDaS@T;gW?g@nxjLfpanVLv2
zOD#foD1rf!t-`mzX>h@piz*>$=SlGHt7@;+0waibo~lzc;fBR-P6@|@Bw*QUQZVpl
z2G)~q8sB|+U^a-NS>H?quM2uVZJAhsN0{*^X9F*2#3$QJ1QUVo!a(p`9UD;E1sr4~
z55Y!auZ@5%5s0Zeg2&<xfS{iV;!?s7fnWQl57QGN{wB=_TYV1bP+gT_F&Bi*81d7s
z70O^PcZ^QRloMi%I%rIJgn@ap$0GfrGH4z(Iu_{01?BS9w*_}ap!<^CPkL2lXjHye
zJekQ2%)?6CY4qZd>T0ieQa~AOzO-F_GsXix0|EypMI<0gFv^o}U+3@7(mi&B4`!@w
zes&p4!UM7UI8AkBu;+ML9FH9W9@8t?oe@&t&*lGh#a9_zEwrnwtOcOM?L>LoM;vrt
z)^_UorVN~Et_OH&ga884DeST`Q2M#e@|!Xd3Rm9w^uH4ZWyyjGT)Zr}-SX*ayhDUK
zQ=598GEq3TF2I_#AqN)nROIR%BAnxRCSYhK4mW3dpAWk$z=SI2o0oS;a4qXEnens)
zAlz>!gn!_{s_$TCxe6H`w-!fJJS2g7&}oMclpyPE$Aa`G85+VC)te)wfaW$bCzL_}
z$pO~SYQrkv_hXr+=phc6f0Wy?d{72odSO4E->SgWEZ=mrNg7NTlaA>9M+9;9$(|f~
zb;x-1<;;;j8K`sJX}<lF2(@y@TW%lLfKP4nuCCLv&_Ov!b4P&$0*S6hFS0cuExKi-
zepU{wO{UVBtw=z)nLww=tPNTY9M`)0<RM#>yFJjH1YxK0hm9h2ARN0gGEk}jsXk2-
zA^arJ9XT;qMWY8gai^yD?C|iUE<)0~iU`Xmqr&S$^?}<*%%J@z9+-m$Y8H5iFsPZw
z@NpV}(d`J2FtQ>bNqxUf?h`<iXQYua7hs3`!$i5YBDhb#FKy0Ig!St;&I+qhp!Bin
zh&L$0J+I)U5oZNpO<gf7uc3gKK;E(Dzj*lV!IZ2!Ckrxq($(g|2C#Fm{#V9TJZyY3
z{Ig{(4XFJP_25MV@RYR>Txd`LQBzZW+%rjda%elDFvS2uAM@md?fa!yyfHe&D-M@3
zbIi<(4PaR`DLS}Q4ipRbvKR3}plpA!>RFBfd^`|_O6JJI+%3YPgqwVTJE|~|8fpOf
z{cl$f+sJ@geZ`iPAs6^(j{JAh)Bv1>hfKP+a1fX=T>52)4P<++dPLJ1fNdt*y})!S
zU=)m-&i7-0XOEPBpw$#$Llo4^$&&DJ;MT71A{BUQtTLUlqd>Nw;#BfyaX78r-e%vt
zj+i9*ABI(chf%!AhO?r;$($Nf@4kf0iW~@9O#t|pI=`EKLKu<_%`*6%Cy}M;72jYP
zfSSjTC5QS1;D^8qF|+VN#Cqm2dq)rg2Ny~O|3)8zcy}XhcCjv`v$g2x^HP0?DDbvF
zbcPo~%_g3U)Hfp~bQ#N+2K1m(*glp2EH}8FBK<BEu0m|KqgdED^+0<hB`y6nCpb1P
z;+abGkRm!|M_V&pNPdBaMYkLTRkzd4^fviOT?!?y`i>49!O_n#w6lT9(@@XKpep1`
zRAax@XKlb9GR*l1vOtwmr&@A*BO?CmB*j2L8_tmL9;>fsgo2W}8k_tMWXPeh{puwx
z*fan6$*zbVcGAmk>uh{MgigSrjs{JrbIwrl|4Iv0y}w9?FME*~D~4JDK24y!+i6zO
zr-AA~sf(oFKasuNns1bA8c=k<F!kkcD&RyvQ+TR=A)eYRk$m6PLCxeMzB*(N**!~H
zQD7fO@E7&-y!F+A+QwkYDR~FUF4cS15HW>>Zsh*MKT(4<iu|rI?KX1W?>g;g_Bn*+
z;_iT~pc;_p3`YLE*+eGfvK~@bEFfC*;!eg1s!-!r6`j(xfh=Foor<qsLdJvF?R*$i
z;n2rhONLS#$fF}7=TBs<Ae(q+hx-xx_kpKT<o%0vguJTb`XzZ4DJ^{ZG>Jw9CW`|T
zU)@|s#8m#oDdepo4+>6ey2p^Ac$!@86tj+~HZl>Inl})h*6lpD17zr`&nbJ0t|M&K
zD&4nswvekS<7a#`NFX|9ms^3~K<a#t@@U%cBDcfu>}1K2z&$x7*Z=JXQi1Ociu9y{
zBLPb{Zq*ZkaY|-ZDRmR^?Ar{%HB&=2pI0|xMT9FY45fjITgcDaYXYa0XyNm(jFIeq
zWk`B1Y?sxzjVS-4>mt3NgO=)7_6dB-Fc>q+?<Tm5G@i-N`*Vr`oQ|%XzvV!HGhJrC
zp>z)^^!^aSAjSmKdA2rR9xH*!lg1XdS}GuZhaCb73s^pT=!otrLeP;=?b>Q;I2%W(
zv=L<k>Z+W%wzG=RpCd0I_JIb@zo~dt>~sK<CE6cfX~zTW`LPIgIyxYfn{pqy%mGpF
zGn6lB;ei-^Yw*q)dXVh06Y6c`gqv!eDK}m!K!=&#^5}O4sL;oqT~_9Xve?#-H53Kt
zjbn*^6u<=J&o4A3T6kc~IZ;5fUmo-;gEmtrED*&Y6SU#S2Rq_F0(`^e;lXTA9Hzzw
zE#6n39Xi1exwFR*0d;u@+a)<UpE>{!`J=lIoD_t@e5F?kdvf3#%F*v-%K^9=hB~Wo
zVGzdkHqs5sfuqUSm@`?NaIXD6qfnnHeCki#_V_9X9kmIf?b}>%AmXn`ZlyTP#^RhZ
zM&*D|w%GVz2oH4qbBftyk%UjRGoOt(<>BLE9yOgXAJA+^Hrj?s!FjQ5#uqN~@aKKw
zABMq0z+dM7)QVXeIG>xw*AB>orKhNQB_;swX`jU2K9PZhps(tcHx)pTQPZlULkQA4
zD;E-+<)H7gS!2{`Jji+ZJA^HZ0Kxx6nTD(a+~_mQzU`?9rqm4d0^;KE-`%HaO&fR!
z_-xT?(WC?~DK3o<>?DB9+s38Sr3B1B{q8#0Dg$4KNUL(LBvek^%uFg&22tJ{$}TxX
zpgkUK9=#+5yx;6DiM$}f^AQyh^H(IeWSo_#Wg!jjq+3VXV@V)cU4J-zhYX8D&06m(
zW#C;`uK#BPGI;RV?d5o>LhJR2F<*}Te3Z=WWFI2K1Ns5oSq61@?eIoM=JLMpD@rmQ
z7AoNSAW{Hp(*SDrq_+Fd6u?@MoH=tx1q99uxIQY-f|UCQ#;iv0kV?z$p?F&be(zqM
z5lYhm#3O#qYE}^(pUoFC8K}VC$Cri8$$F3!vNS+>s|1Jd?%02?B158Pdv4Ah1myF@
zEDw7TK+Q)2I(kTO!1_;mR1E+>d^D};A^`7BqV=6;MBw9({IHftfhMXfuGx74Y>UZM
zFys-S$w>a+6DtE~Ax3Ha#t4w9G3Zj}hX;G?!p(n+25?hX!~gXW0*Eufr)p+7Sf!UJ
zBwsQF;&1BJ?g%9~+1njX4#q*ux<`pbts$6Lu=UgjDZ(E+#7%cz9P+3}m>35PK`;>a
zwnQBdy3-9~w)8?!{;K=Cd%q!cWr}itz~td*-CHf&A|8Nod8VuyLpXu3+=|1=LI3TA
zZLv0X7-hA!V7hJyA6c$`DfZg$XPl~@Cm++o+$;X<ToFU)sWW~QQG$cZbz7#5?Ees+
z`RW@gH3l$P_((tXrzEs=+Tx5yhme^H98Qp803PXThBSN<U@~VOPS^bj6~Am9@vDsj
zxfhyhI%-A1Xlq2CWndcJ)&H`lX}q7a3&|g^Ul0O5<2>5F&nxJ+RF+fA9ROicv-F$$
z+m1Ie5G?6gM<;6^o;h?B;BM#bd@oC0AiC6lOEKR@UrCK$;>tzfOxw`7ZwePY6pAi-
z8ncUT!BO2KmHH5^{kJ8LlLHjw$BSg&?4bd+{`IwQ^#FG*@lN$!R^U)vF0K=&!rrMG
zO`tQna7j0~G2j9txV^DuNaCl$QfTYh&hYBOlf1jHe-zO|M3w2dUE?0AUwe$+#6$<m
zx0QxlOsIe><kN{nraiQNq^eIOQX9-Cad^*!O~iRSkSl|*i{{8`g}Ak8L3fcfpNGmS
z!m2asa?NN5ZCF)0R(3!OoWfKu9r9U3)XwWk9(UYE+xzmr`8sNX;}O~q!roH|chff5
z$84d}-uedCFErpMi%?p|@(7aSp1l~_v57iX`(2wkr~ysMYmc90^dNkn`mOooH_<D?
z#~uxPs{`xGKc!0v&B(3Hvlp&cZJ^iArqECIs)1${V@1DpHY&6Bvg!P}4b)Sbj;)2F
z2Ju?W6c4|4wBDDiAVz-!9Z>&fq4rD_SS<fJ=(KmEzlpC>YfLxLTX@GCoYJa*W9<!$
zN*F+yW9$Ax)CS7z^u|LeM+HtPC)2v0`Gs-_9RGq}*gz|P2lHJNPyzS<9$#~PK88+}
zZm~PWZK5B(<5+Vu$nf4u-!yq(5~V6Nsi?Q#LN$79zBGuC!Ft&CFX!(WRM_}g_c@1c
z)bhJ<TtyKH<nBtB4E6p&A9`jl=O^x<o-tVGc@hbR&+UxdJhzB?Sfw~h@9v^YAsmri
z7!l^?nyxtaFQMGk`0UUVR9I3YmDtirBFH`X@0$Io6;ww*+4LlZ8Y`PI&c3<NFLEE*
z+(Uo=MQ2hA^?8reVAFNyzs0gBLt@kO%g@69p`Ns_HSUDdV&ro?qKw7_P%<r<#YpRD
zOkgA0(nW`*5Ev^&<CH+MW$DR(yBnyG)_WrnQwA(sAh~F}R}orQ{T@fnY@vH@OD{~P
z7_nPE66Z%06d~B*h3W6j9rS1Ix6otN%or`#KRc0FJa8onw;2mkVb{3Cr*1r9#bUj6
zu87VlfXjgZK4%MREXaT9d}a?jCQ9ch;(l5I-p|L5U(2S!tXZ-(tOPl*f{JIvlCScx
z7#{t`m5~lRFD<Kc!;KSTY-<a9WFrq*u|WqklIXDmiR|9Q9xjYYP%X}8Ob#@4S8c?A
z5sM73<R5Y2!Ged~4$p_nfn@lD%i%oC*gJ2gEAo7N*!WEB!gqN&P|d>vC%IU$4}5D|
zuNDtsnOy2NZNFvVv}t)OH^PqDY9i|Ts{$BW!b5JTl!Y?;wbhC2gV=8op$!`uVT_&o
z{WppGvQT)B6-VUf#H<F44|>IjVkvz-FW$z=0^^qNc3T)1Cd_!%;X|A_b}@g)cQ->8
z=5db4)aiJzf0_=q&;CeYPY+F(X1te$&xrK{uP3~i&lP5R!^=`wSIhuCgQy&^-i=;V
z@;!tFS^wZM-^F1s4jiO4&ya(A5viw_odhty6RMFtWipt~-Io{m4dmfcQD4P7A0dp+
zP^;|w6*;VMRiycer~*t+Gxy1sieLqSH<f6O6|jU;Y6st`;lWW$OQ@Gd93w0oCY)7N
z#2%4mMeil--|^t=GxG)#SfdI3+ZlcWHbN?kktGtKJ8%r=kt~S`<s6SJqb6bj%I_al
zauA`ZEAaZ}k`#8d17F^~K*ZQ{f;JdbN$@>14bgRw#^_3!LSjFYu%?J{ZrLa@7>kaX
zq`jBH+^*G1ZKshjzUk!tR%%snoEmE9)0V>yK1~}@MpQ7Z=U*bq%G6-s-ulL=NAego
zPy3#EoeF0DpY%huFb$~XRDP1aseq~Zk{PUbRWL3W+l-d0T40hV**Ku7h{>tub8J$n
zVt4(OM=yozfWj`Lp{11)R?8J~;p=M^OzkwTYw3X=Xib|$_UI5WH4&PZH>LLH2dADg
zDn-DgNj{}+hJZ!*zS$hoC1d3UoqG7M0PWoAA5v|Uv6_(fnMP(3mY?ym{Y@PON)pAT
zg|91P!wK~1CuNkeVAt!Vwb2G(s^C*FaabA4rmzk6e#B#Rk1L7IcthwuE^&6Pm4JCx
zpH-<<l*2-&XDCA@hVbdSC*SN}CCo;dKEmcQ4(koQ(eP@`5NyAnp6wh|!~))2N}Mkh
z$Aa(7w6zKy272#C=J;4VcGHJDZb3p2>u>h_wZwNACRARKksWz#4vE(LdW{=%w|nO)
zF>eUgq(!2NnH)9~`(Hu-6bp81xS-+O{=4$@N$;7$WUx;h!oK|8`}yJ_cwF7o5a^6s
zC#UjpSWp?2Yn}c)%H>ltx7u$20bjo6PBu$o&b5PkeTjLfXYIp#woV2>u$bM>niR*5
z`&MVgdru$+qGtpYhA6NqTKBR?O%!{|iWhl){4e73%VN&xGzF4$L|v9!1u>RQLa?dS
z7V`RePtKj*eQxC~kd2Etgq;&=D|kUq1<R9%+xDyhiaVrm8U8%j!Z|<w(kg1WRHnAQ
zT#mrrTwz&wF(+2y_ZBBoPXn(HIDZMR(}#_Ktkre#1K5bR4!5u=EijCC#kzgbgZy2u
zzl!e6*u5Q-94wF)sISc*8CcMTkWd9ZMrnGiRnK6|$c+}>Y2B?U=hubvcP(b<j!|Q`
zbDM9Um8FG%1dh&tqdJhVm31P$Y72cF$#eKgCk?zLJm7pCr41d+fyb<(R#6`5m0A-Q
z8W5djvm0sGg2GQNo4;um(csY3z*GOIp?~;w>p2cB_-B}2dqQIZ^?9<$9eSS{42m`R
zUOQ{T1FDN1k?TLu?is-bD-CL}oS5?a@1+LV=W3(MU)#|#dQ-x;1uEz%-=pQ{(SQK<
zqp6yc1<0b}uh>_ORM71dIB)N#4lj(x`pPFhB1elR|GX%mf;=Z^9UoMKC7w}Dd*Tn|
zy{d{v`@Syo<-J+pQ8keA*q{<r8AbBXR_r>XR3L03Z$4PB3cBfUmCAojAfFniqI1`%
zpzf!V)fh<?81lkZO|@o`EMBW7XY+mT6I;u?{8R-3^EQmr%@+`Tjhoe1_IdE<#58go
zuL78=ip8n)C1mz6$t}^E2G}GoCqz_`f%+WXMsDB=LM+Oc%VDGizY3B3B{ecgDA|qL
zTCF1Ans4#N4bXyItE)<CGYM9a3r8#D_xUzFHSb0j9b7SNukbiQf?%=b`{x)o5TSPs
zp+9Em;dnrfPtZ6Ky64`X?V8_2!s2*~Rpl9h*^JThQ|LY~EXULFPj4eP&YiyLoxlVf
zGgnMQ1c{J~E1nYB+C|RXEi8O3%mUXdalA(U%1|>kVQ-sC1+5)TQn!0qAuKyVySrt-
zXP<qNg*8#bqa&eyB~9!wPQx<9%1;2NgoVlS?S0<V&+bs{I|yIY%fQ!P2^2|B?lM}@
z0e1<m0^#O_beyw&`LF#uT=&zty_p^w6R0~&Y`Gvyx^_ImP7!K{Eq2x{7~y_-w3o>%
zZlL?BU@_T`2d50Tr!Ct|;7%*2rJ>CW83MWg?On!$Q1NDt+b0(2(lEV~GsFj{C*m#S
znep&xn337AgALA<@_%|-!Vmg-=ACq}6~K&#>+!pp13-<t;E|9f2pQLNWI}@#z*U^@
zKT0kKwDBj=SyTzbN4FlUZYu>~mYO!%8|H-JaNnGU714da{#B3n`4>I&a@<9i8xWt^
zz@lg3kl^^Vj@e8BI0LM8C2M#fwQ=X(+@1t1snhrPUsV8`HlLf{%=kda=yrR9tJMC!
zc6Ju)6+qMS{m>{iKkQvl%}*M}fz3o+(+VCBb;{dfu6+W)`bvbEctr;4a@9VEbl|~S
zwd^GQ7a_28rQ5r}xzEFV)h=7filCll9x^Z`0vAWZyn0*Y!6-<3OCwDQVyYgW5#SVu
z`jHbWm0|mH8LFq{z7yb9In`fzJqe)9Zw0&QE5Tiw2jSlpi2w_g4if&7py2jF+i!ya
z8Yevc1i46%7R-CHzCjAk5WQKFt%y)ON_F|cem~S7;(7IsMH&(x`fKS4lAwt@_+ZU(
z6^Q!UOviIp29j?-PL=vVf`>z|e9FsIAt$Xz7^#p2{%>lnZ=A^RG+MogS4kb*@4pyo
zU6X@AI<X_HAIKo=?k{((O9K|N%YSc?6rkgr<KQ<&6%eE%8vRPr0v9#vZZm5<*dF2G
zd&Z&y<zI&gpDyVDuZ9VukBuVKYrOmN@*^3-t857@CVG&WqY?KPuLQp0=i(xdkzveO
zD_%$nfmXEq0s2V^G8x65FvXCd__PIm$aR3FfWsHs)d-;ZL|av5|Nm%dcvZ8SP#`(6
zn(pOk0$hEjQ=od40Hl*9@}txSP{c<2Iz@{BSmA()<L&+av17E;m~8+HrVCTD`#gWT
zp>6V=gB%=QlosaTF$Ay6rdG;QN?_qlYcR+p4b8Z#hg~ihLRgp&t*NRaTx=L#h_8|W
z$-&G21>83TYKr_?Dk~mN?d9ds{t||KQrHLiG(%vz#ycicEe~vR`O`_Qd=QaBiP{M<
z1c%m!4imB*DE_+CSx?{umWr;UkB%6Egsrmv`v)?hdP{WG!;c9V$E?3OY#6{Z&9qI+
z85|6?yM(It>>*<Gd$pmN2GGCr`{Y}7DJZt79EiTYgs6?ioupMZ0Q06JybRG2;M}Zg
zGWDSsu}e_0Hmj$A>lbHz#@AvHpNAh$gOBJ-;c%l>0}3#TRT-wl2!pldYd>vl9HpD~
z=Nxzoz?gFU+H9}@+|p22I)p5uryE&lL@fc1D-8x^=kb9%@w!0O!N2GU4snOD3ItR~
zxu^SAx#6XQed%)gKQ#Qfzjff7{TzJ3pV4)L6NW6@PredbM|BPwm!18k2l{T7)*KNB
z;F4VVW&5sm^!4knC2jP2aCNJ_;+zKym@K5}8qBVvUis3kzeu`Z@8dwV^_l_T{cw>)
z@;Vy1H$l$6pabX6px57BqJ^J+XKb&}uA$RKk-wfl)P^Unygqe4RIsS4B5A_0hPGc4
z+5SAL1*t_IZ?v<wklu^O#Oe6|p{wpLL3i<5;1N0&GWO>mLi&}(XT-CLmZ5gLu|b*;
zAw}zN{(c$BF+3HJ$MqLAiJ~`f`m6yru3pRMGM+~&IxiR6h^(NJ@AbIr<TYUA)8`qB
zzDZ=@&*kEEon=(#@$+Ki+v*T&&`$e?Fp31(+3l?OE}?4iZ~M_d`&{|-dgOxZ55(4V
zibDTx5w(nb^kvjm4cvWV;7Dc{qQgpMkgvChYE1O#2E0*)y3N?Vt;em%ijCIp{o(~Q
zyf-r3LR}SjP9#3%@Ge2_3<;1jc^6QIJ(CWt{T$S%RArI}O3{{v0t)}Td2}>(L6=)b
z1=io&m)^bGj8dte3fF9&N1fRvO<xs|;bX4<&npi*(Oaxj&nI@~QK~NUHD+ltaEkp1
z5cm0tn$l~eF^4apcPrif=1NJB5;q|qjP;`T3ObYQB^S|3di&ZVWD?9T7F3IL|3H6e
z$mA82ETYNeOfi}!A}AN$sNAa`Ld|8EEk9Z=p_^ytU0BSC(46-l7aaM8Dxd$e8!fbq
zekLh5W;Q89olE~|YlYva;P{B=2i6soG3hVCZ<+vOv07{|Imc1A=Cb59iN9!S_{i-z
zK?3kLWxVsFokYD|keDW?RkWeAY_Ro&67cMtZ92&?jV|HM8jy~EXjrw9F8e)2I8buW
zcR+j=z1aE*&*ZR<PJfK2IDExJjwJ4Mr2QZCDf%ivP;?XhzG~1>B7_I;(JYmg+6A;m
z%KPd+?rk*3&8uU@T>(DKy*5k{TSCJxe`UyrUG%>*9sVYmJj~kHC^UpDqn+1hoo%hD
zu#&R2qE|xl;2Cp4!13P-TIlroO8#SNY{;_E$t6?{><fSG5bm#{`I*5!eB!iNXWhuU
z_qZ%<Qev`2E!I#mD;uMQMmp?d@}poe>wSKVN-lO$-9RVhHJ8w625ec0I=lXz4D80r
z)!a1RLbnrCBZGsPFl2DrsPu>oO!)T+JI3#zLUxYf0R=2rj^d-yi=EQ&$GSydoQ?`B
ztKjpzM#GL-i#quyosx#XV~q3O&eWJ>Qq5Ru&Oz*W-FnNyJPx==4h3ru(O@ZW9ZBkX
zoY)76?WimFaL|oxD1N^|hYgh_TlszF!UlQrgfw+<AiDO`Y}||iYZ7e`dvS{gTYY@8
zq;f?HSld&&ObnT@=vpNb;>m~IMr=o7>!g6ec9;Y2!GbZ=h&{a-%8yOyOSE(*N`YJ+
zO~_gY8<zOJq3#bVi1AuH7hMRJ0-M%BFKfqxnCu))`KY=GcB7Gsb!1;JnYN_F32<WK
zZC-@faWU-by${0zsZy{Sl4A9shzr{}$6kBXO#=HL009606qjc_mX8<4?UlW^$KE{l
z2=_5cB`Q(okCGW>MwH4-Lb7L4lD)F!z9Tc)3fUtvLUtK{|M%x}eXbYhoa=kt6i`;G
z{UQis-$=ARnKEO|YI}85e+962VsFqGAt4wQvXi<k#fnL}{26*&AcTo-(`zW_2!RJ@
z!Yfpg9dpcEb#e+2!MYxeCv%txgDtCObc`t{wwmek!`(>?ThqNL_efO)G#Rl6yan8t
zF6o!vnY$8Lwxu-qTZn>x08RL`6dz{n`TUb&loXa5B2?1ZBnH-QMAmGpIP8<UQE+Un
z42GTGGfMN9fS<!7w0Fz|u=Lt@6$L(cEV09<i78SF$dbuN9KQ)-D`}Wf_cJ*xvUI7r
z>_7%^BY#br?1V9)8j04Qaq`$Danl6ZWjx$l&NFKJCxZRCDwOgmOaYrN|Gvf-Ef4+=
zyV97G#V{u)ax<&zikN5j_e*?^if|$KXNNal0(%{?C4Y8L5&J|PDW>M73`?ygHs9(b
zu^L1HwXjse{=FzIX)92L3EV{;4@qfkuxCYN##0H4q-_ryB|Qy}43|5^d}J`qr4R}_
z1trWLp~*b*(1ftBml748$zto*R)nhJ6tSbUm$K<&2spT|)d$PqvEr+-WCyVdm@wgn
z;ZrtkkVFyw26sG`@t1@-T}~c*^w{Y_vzQKGZrXF3VR+1YM-}J%5RYkf25%R!>O%JM
zJt3((c<h2c_n&YYY3zpzr~L4DU8r!q)RiQR#}xcrHjdiFu#BFNxh{J>ND9q!3$~WU
z(i*AX&shp#JGNC1u#bA6&$MAS&MAZ8$2sfTw)n8CyIOU{Q+i;pqA>C}S_)(DS*7L7
zWW#)HoA(y_^<Wq^DY@1vf#K*vzCT{4!;*N0wB^(EAk;{=uDDMOBjwan?Y>Eb8KlKN
zuhu@%w@#9$!bGsDrY}0<RLiJK;c@Z5Ze3`O7&K?e62cmyLNnIXzayQSC1#`sx?pMl
zi*g}Q04sdyMRs&^8=*{^rs-+Wf!;H>h9ezuSjyA8L;<Y?aDUDB0fB@L5S&uHSJ1+Z
zb<+2VZ&;Cno_OriOrkbm4ur3of3ss>uk|F*mr}q)q0P)gGHqbjF^~<v%7S(C(r{n@
zO9eyBPd|6~12msuwSK<OfJunycFA~Bg9Pxz5Bx$PC0=RaM=K51C;q3O;T#PxRfv_e
zEolKqsa1Bf00kx{qB+@>Ljx`k9@M_x(}d7J%DT^piLsxfq|uLyX@EjP;5IpvCQL|b
zrQ5b1ppTuRuCY9#0Wk>`Awx9{D88O@H{ELsm1D@YUy`ALA){>4ESJ+T{MUtraQ_#2
zJjJ4$+Di>ShgR+a@6^F`j9AEDX#_QOW^idd@p<2ogzIQY4Y1bUL!O86XlGxGa1M?d
z&Z{XW+)-77Ulbv4`b7tk(aMKan=_{%BJ*EVYm_P|r}{jT`Y?;^xC+e4W2c~XCAGj~
zNd**ona%2Mt{_Z(dI4uYo&s80qYGPxDiCSHJ5$B~2XTCxY1cP?3cLosFfCOpgE%oS
zZo7UP`4vU`@Tm|rMCS=IlZYvUr~b_4Cc1q@WY#kLUK};p7mZetWhz0u3QbS8<N*>W
zx~HZfMFVG)*?+fjD1qO2_3dNsV?=pQ$&YTG2HwAO%acx1grLnSHLg7ZxXeLvQFV$I
zmX{<;qy!Y<gX2PgnHdr2Gn>%#AJPFCmNwZ|tN;=83HlE|5JR^Z;zpK34@%dIX6UpP
z;Hrl?iyH$e*b)`K;jm)>pGg@_!4Y{N{#@)*=|u)HoR4=#)EMDc4@-xPuRLh!3)H7f
zk^_m4w=k0g6EHs7kG#Vr57Tc<9C^(t!Jg_>a*iT1ywDo_Dbp$kI=97x8Rt&+3BV%6
zf(2+!uX1$z$^nhTC<A*4HE?Z2)|95RLj2qgYa?C`OmRF8`5LqkDV%PqaKHv#{Et$?
zHt_InR7EtFf*xF?Ck+|>IiPX>qJLW*9{79Zhb)O0pg2JDSeK0pWV&*tPDkNk^6tT3
zgoY8wh=?aL2Du@3O88=}Gae$>aoHbEeET{$<u{h|LZ`(S7PTvQ82xf9jNOVE<{SQH
z@0;OZJWe)gKo1WE+}o!LvRQy9NUM~}nID9#&z)~Mg9m(p){UTJRv_r{%aV%_0E+z2
zWp_;R@bewz%|I`9P>@Zed0!(4t{=@qulnG@NOGf3<(LDW80*-G><ED+TK<YH7Y}J~
zJYOtla{;_|2>y(Sfb8zvf!_)qio3su-T03O<O(>ezrPfP3l^0%XY}RZi~GEO51tRu
zr7^5~Sq!}2%k5vRl>^#?N^{HSI3U?xS*1NI0l7DiUY*yIhq2PZx~T|$$YwRWHk2j_
z2LZCREx+Vp-X!9_VT=Imd5m4=|0xAy+_$#3^A(`K&mhJ=RS+omF8LI5%Rq7up;**Y
zMYve=->(brg#f#)@|9Fs7ACRM;io}L@Fe1XokyiGq{Q4&`_6<13AU#p`$@`h?gh>^
z{i6s>ywK0p@xnucvZmmdRuy>NS|>D9FA6vb@64<UJO~Tfm&cz{1N_T4fzSD3P+d^R
z^s)yJb8&=0zBkn2fJkb~I7A$1i*?1FoA7YU%p1qvbQ&&oXht~boP49lE`MG<#lv4o
zMZ-E_O{ko7Gh3LD04f!)KtmiJTsYfO!h*G+O8w>yVG~KXXhcZJz$6QDgljba`VhFJ
zI&@b#LlT4yOcf2Hq~T{!tQi&zU}8n%Zd@e^8aaZY!8MYQNrd%B(rCj-4zsY}$^4a!
zAANk;;&5lu);K6g8^$Gl`wlKkf|FHH%g{;Q6U+J4RZMCFLlK(0+b;orKML>N-4=q*
zEzb2Tf;!O5Is0Q?SOV~E4SJTL0zhEx^|$q+4#>W;5)(BNhs8y*R&^d6tl0jJ%eT^j
z+cu8wHdn+T&0TF!FO3T%_~fuu6CLPZt@_HLEDCs?w{_O%*x>&3hlFEg9q8or;<O_c
zf&a$h=Si+H!9SD0FQ3VDV7Wf0$pI6BH=k+zbF%4RSv33+Q=2vf&UDqVdJDou&fIgC
zpHRZ`@{?%h0BuOzzxHTONC3#})Q42hlYr-VMlL3-4XcrY%+bR*_#EUcT{(A*RELKj
zqa6Sj?&du|6y*cY1d}a-u|4FRS>X>eXMlS9+Qr~1ZeWxt)6p^BMC{85{9MQY%*u1N
zDC{`FJse5MQ2UL1s%@f~(L=y{YEef=o*nZ4uKJ(nTSU$*(bMrg)Pgf5-!`2@SwT8C
zfTG}d7MbErIj2^w35(<8Th4mSfbPd_SUsCYf+!{zZMQUFG!?7lc*Y3ZdF0xG_ofiT
zo>&VzB@G~&wtwZgM-R6D0T&iLg$&f__B8pQ25tANvOGL=P`dsjvD$wcN%W8w>-?+^
z;*sSNL5b9$=)h)FBsGiB=lHN@FsXxyyne$gb1ERP?B(I`nn!Lw+bq*_RD<^7tG0<Z
zDIn|5lV__ki-?i>-@i4eD#Y2mUD7BbgCzFA%r5<9B%)-ZXMtN44*HuL43$VBaFj_=
zwcs~$X?%3NHc$oBH{5!j?GQu$THL2O;SGd0?TDOpUK#9$Vk<^gh+t3C{MBjtO++(1
zvT*j2GE9XESDG;sLCB(=@GiqP;vW&iLyaoI0Io&rjx!+`>T@|Bi|-<J+DJ@*yb?rv
zdxsA!5<uHn?rOBzJ`&PWSj?ZV2%pg!zqA+v2&>xwTR^10ymy%S4@q-yBl{z)2tC8g
z8OoLf&`)T*9(R0*%-xE(IG3XUDLDOJ@ACwZdi25RgBAgtI=E4^C9VK+AtWlHW(3eI
zxb=rWnh;Q}a(<z5d6+uY&%PZ-0M?*>R&SjM9to3;`f167dLqeO(EtIA4^-5=bR>Ze
z;*_?dZaH`~5d86vCL#1)PIUadLkg;s(&yXl<ls)P^ni5>At=Z+;kvTOf!_BA;o1Qn
zk|Ovs#+`|P{(ExzkP{`GHmsYBPsPK4XR3I)Br$9ei$2#iJ_Vg`E6wIL@IcyT{Mh9b
z37ig)+Ap%D0jq~E+NIlN;q@nF?ior__`BcjJe5QT3iRY&BRE-zwcfd{B}NAS^?i$5
zKBR})Ag^+d5E<AHr9QplNDeV!LVnig7~%a+`f$UhG|VeG4W@Tez*y`qyIT<xST)A~
zdw*9NHaayjbd0H>);-<+k}M0%Q5{Gd?@Pf^SxYZ9AvHwIX@(-btU&+zWf0{{DM+jo
zUb!(s1KWw+^4>4m;cR-<u+?cPcv>KPdU%`;%A<!U82mV4eooYuZ&wm#`BHx+P%yv_
z9{+|hm>c@OZ|8fqNdn=i{uuVtjL?V=x~N#m3(Xc>M7_n5F#UPOe>$8Aj9UyRe}>~=
z;iBJThEhp*o1A^$be$O(8m<=(bnru6R-B@Lw<P3H`B{GQVFi*0o-c0T1YsIJ%QnzR
z!N}ua>9ZW{AXT9oL>(yv+X;!=e?6qYL_P5|_Jae?kc=l~Q=H`8BMI5|V=2fEmpjP)
z$OUcd0xZl)q7aoyG|AQ=4J!!0<VqtCl(iWD)=&@!miY7xu|gTBcs88*d4dn<S@(VO
zh9$uBUPhzkkSsi)O5Sdy;fLq9iHpsjNP+CRIEM$BC;YJBZNsM~0I%}8Tb>HbfUr{R
z%CeUn2r!l;-nuIY8zToPPwHiXi0Q_IT~~Q9t(acOC=!DEoh9E}((u6e)~s*pnF4&f
z>Eyh!CJb5oH`<QR$N^$uY&7~+5tz%5YTe{SA;Up8xMNTb93Hnd<|-<K)qQ<C1y?Z;
z5pc`cLFA$SST9PeK?SV8^Kcrbh{JMRLHF55@*r!BpYXI%10qIFj+Igg@M6RCh$H1;
zhX^rkW<3qP)ud5x^Cdz1;QjtbD|xszN}qatSOcEF%;)NPC<O=ElN-2oIk=|Uc%+-G
z1)naFO_K{qL%n;_c&V-&pjNzj(Lw-ndZk89G14GoQ<-REj)(U6oilE~0h(;n^k*??
zxTMynn&>72(+w2JUbZ$69Nf`2Dw76jN?sPePDv1|+ttw4&;egpCiW{f((rF#{F=d(
z7=+OU4%AobK=Omv*<)X%ASrdL2K^!oDoMXwvZ;09v7kcU<G+$HlfXJ|o+ki*B)@zX
z1YO{NA|)uXApxkjZ?lOwAAG|TO&MR&1@bvHs^V&K;CO9e5of>weyW|rlRCOUrN>As
ze_agD2BGvhlT6^_LSCBBt_v)h2I5agL_j$`uPK^<7T$k&J9Xx}4tN``@x`7KhIi!2
zN)PUzaITDD-NRrVxZA!IR9Pel1F7t7za0+{;!qF9Eq)zXSsTm<WDtP&QGc8njMow0
zwr7urtF)og&)L&B00+<W3vrX;qe%bgrQ3~Xw82*ILBZ=89vI9M*BZWAjuP*+OGNbn
zykpDSN?zv#&H97%>jY!yye#)@uoXaFrl3W+C_98`JEVPm{uA{f8n_zYi@?&atHZs|
zS>Wp{+LZS`E9l#3(s#5gTHxF8G-6DE3919c_NqD8QD4DDhh1tda4HQ@Wm={Op05=m
zRy-T%a&?`joT4Ud5^~s<b<%*Q)vqHtuMPAezDii?rUtNn-xVO?r-JO_(Jw`3Hqc~i
z|MO%?r(tzdZ&ZGW4DJTC+P|n?NBiSNg7W&+q2(u4HhzW}TExWIXFJ!>!q1Ki6U^%H
ze)blPybd9}Gaz#L*0qX$uh9KwZLJ0?xmP3qjUOUeIz5Z8QkGG!>=yoS1*$;xlBwAI
z^FGo?*51`%_zTTD(5u-wR)IpNb%|Pu9b_lP)vf>NC;E1%t;oY%1)Lhz^xl(fA`e$j
zrA{==p=Vg%-aR_$Q=fW%@F8c{5h&^k)r*@!Eh7l(EVz_`AWUmKqJ0_3l9ZpWjF>{l
zWQ;yt2v&lTmmWpY?-!8!KCbSY=f~0I!inkRHAT>)YacM=m_x)_e?*G*jG*1)PiR?e
z6=5-K#!Q)V8cE$v`IY(h8+sGBAs9cX07$9vFRXVAS@Xtyx9b={b2PeD*Dfl62U8%~
z@#SG8?NZ)qp?V)`@65JG)NyjJQs<{q?++pud;Zi;FMdT8SCnZ=&dGxS|4hNGLLcH=
zSKU=P+kq}CdA=R`A_trV^R}tqyO47lgQgcOThaTS?Z+0za&Xgj-O7!x9bq*1QdFnc
zjJ~ew<P{#ngNLa$pB?Tq^6trR4cP<?{g)!`%XQLg9#jABd5L0(i%EBvVMqgtUB2jR
z_(v9Kt9Tx&eW^!~3;i}%gKN+`qO#UE*kvIaW!rytP=%NZlF<w>SEA0f=z+eT%*mZq
z8Q|B;5%OsZ+kDY-w5aU0@vx6H&{+{{YSWh>-4O$n!Dc0BsFGvPQlS(~PGRdZrg=!%
zJfjVVcmdkOd#GssOA^e>q>pHW-y)vrk^>~~bJ6QwR|AeDB;l}IW=F+43n`tPc4tQ4
zqH?a!>#95?;NC)x0zX44(wUZ6*JY874wqSR*nAX+v9@;4*z@s-DfMKml1mmEI+V~j
zL?aG=q~&XKTcZ)%D|H?QA2U#sOvaY|n_^(XgX7q93q#)7`zLZ=PeXmi-Q)@yMB&<B
zw;uiHfk@TZcx%k_6jU{Y@mD9OD0siS+nX)riR|v)Rc<jzMlbhX&R2gZ0y0Svm-IcX
zk*Cwhf19C6sGh4j>G-TLSUGP5#nfn{?XB+qtg=a{;R>5+f{`#py*n}>eQ%HY`h2K;
zubG72xN)sc|KkbomtCk}t@cEPO&;jk<tL%;BZJH%vO>@=Ow{y=*&prZ5hbH=Pe#9)
zKR%LqCkQ?F%_v->9;2uDEdD7(rl1tva;>r_xoUGtJo@)uFv`vmRi^eg6(uEVacRmB
zfSIpJ!;CiJ=!@L-Wa5wMD80+g#BN>zC>{0EbLoAC(!%BT!@*3{%x5=6;|)JtVQZhW
zw2DSEo|3x;XJ?_&1*1;e68sS8)`m1w#G(m=luZ>B*=PxAYWz$k4rmex_^FRyqAeW0
z&Wo?!pwYkoocpbd16KY?SvvLvbeEm*eCh2RwBXKS3|T%O45mk%U$96*nH@ipTyxJw
zkM$C}IQn_P;8h{+XLkx}aE;l0u{;m8p$wq=ear*y(WG}O1JY5~<apk*YK3U`Xs(Kt
z0uN}&r26|hze0!c=S8HbO3)1Ku9B83H%y2u40~OEjdp7AbG&6OLv!X5N$%!z!Po%d
z`bU;GsA!rAMea~JN@z)x+qudK;p;;GHB;uGF}4Bz6m1{SyL5l~WRy99o%))TjC?M7
zf%Klm<@G9bUWCcrH<$w&>8ze<B;=uldlUJU*K5(H{fXGnA$E8>?lL@d;%`COIaiLP
z0ZpR{@>P{$hv7NbxYwd3X!j@G2MLFb=<W?0N{?_h*w8+$`9h%#o!%jIy(01nW!j_@
zVOU^=?!*zHIf4qb-Pn8}?yw0ZFIj%`?*c32B}=L>5LTjQj|OsSsanwbTLC7_6)Z62
zwNAIIR*epH9j(q^X+x(ifeQFoAYbmCgkX6sdh_C)hP@vhXvjD7*SBJr|KEG5f4VoI
zYDD$7cT2j^jl%L%&cw_Rrkg$Q5{RN#iGl+keCt6KvB(=r0Zec<)%9@E;}fd+>(lx8
z!anqeq}y)!4kIjEykyHYZAR_&S0-#<51_1>o&H@ujF57Pm{QQa1ts1QF)ipBLWi9G
zvfkNa00%_^_lCAM)HTF{NI`2DjadqN8yd&}`z6=*;_N!n*w6%{(5+GQ2KTLbq7xp~
zkwc@h4Zfo7>eX(n|He_%eWkwd@$_&-b|K$cuNNIWb0fUCXbNpRpS8UwL=U`0Ty`%Q
z`_WAYtY9x@2HhHwnXGrG1M)WosiQ1|XroX~%k}&@G&8S{oFwxk|NH&lg`0dsccAR%
zUE&3FkS6G3M;{HyN{%}v3=N~%ciwRnXa7PIwtL9gsA*uq(2Mtb)(@0c_*stqixo8d
ze$6hCAvKJIM-9`W6R0tnMcw?+8d^|vobn<56zpFQ*d^haMlFIAmbw}@&^hz`T!&dI
zD7Z>$WlKAYF2+dW5;``~C?|3uS2ZfwYC2wNP@6}445u#iGVGwjs`mwzlPF;}T(4y>
zX94xOM!(dSxrZt*Hj!8!Qb6D9lBZ1;OQ^}q3BD}9e`vi*j^8U+3P`*2{7#weDw-Tg
z`snWaBQ(LPtAp?-IjD0z_)%iJj+$@BU6$e|#NNC;_ovN;9NM_4`<iwCpp!imIsF{O
zSb^_vsn`QDke;5u7i+VH`rf87@wiHgF=%cL-_9U|vdTr<*18>3oiFL{Q4cw0k=0qb
zeu)hHN-Spkt@hEGr0*j5Br2?3fUNQs8yV0f#cmuJ9-ueB4*m@;qrv#;_@`!eNg+JY
z=RdEcV>FUtk3%$`9#iiKWqond+bqPEZ<W3##FmF%noa~UV)wfR%SSoL;DTk>%fMn{
ztaa;Ut4lsJb}RmwL%TB>WE#BYGTI}>7+*e7sHA7Z_#1xAn5>h*iU_Ukk5CHi4yBvX
zVLb;{5lsDMww4^M310^I{C5h|yc)C8Sk8^rPy1Q64^e=ZHSOST1TD5ZFDw`Kj}MDq
zdxXqgqk^ixpQfxR7%*403x}rN{1`#L@I7l2YEXYbyHkD0hzU=ATHpIBh>b0Mp>SHF
z1?qUWmIvZ2nA<x|*Zm`5%#F%9DvE~zj2y~$C|<B(_)GZoqMKsa)(u^aEEOi0^1O26
zjuIzk{z3Kq%AN$aN5~NI_y-GoGi>R=@$g_j8ANL=QE6<kZ%my}m;*Mic9=B@;V=(J
z_60pNJoe34NkdGL2ZCx6FBFdRW3*G;X|B_9Sf1gft`Zi0a3Bs%yk8@T1-P?&yz)}O
z44#lrq_GKse^K7u{BmK8mG6|}9<dTe_*0HBw@efcbK+K?wuxftiey4*!OGb0TPqwI
zo03p!TVNHpCXOlRu{K|yRKXHem`|Vg!o$|BjoDQ`Da>z^oWK2872|5k)eAkV0BtH?
zCHK$EU~444-{m{iu$6kQv4?KT&}AHrrAgzl)ZGxzhXU%D*1J#aUq{q{)a@{Jm{$(l
za(ORg@>>o2+d!aA?xhK_LoY4|t;k{4cYOq`In=NVgS}w}kpS&(S~s|!$zxA7v&g=s
zs9+Q{`dnWx>cB&u5)IZBd2CqfUR0pB66QJ`_2%hMU6@$;{78dR0VAQsE%-IcW4kZD
zP!Q;x0m~4kmV+Pin4?pGlz^%%W;D0<li%<xZ2uv3xnd`eQ5}2PdijZA{b5Sw;)iE}
z^W1L_;x}?wb5?ZOjW_(*A3L{bp3C}>S@GFj=?xyc_H@p{Plgq{Y+C@2FX}`0i?z_)
z2^s9Pao_Bh2P9aX8V9k<@mctWW9l>)m%<39#2M_=-XKVr9B0k_v!KY-`i4+P9OGsX
zS*d$N2;p&;^d-KYfv)ejykm7luzwLF4_}4S!Gm54e^#n9pceRXy;@rk(<BU3J7#Br
zs?J?<LM=To&{n3~yn@3hFUdz$lXHOO8FmLIFI{+LqEYsWhzkpBf5DR3$psZWuT<4a
zbwGZzS=F$D1uNCR6&9Jn1LbF*f6Ca`2Jf@o;yO+A7~RK$&?nWrFgu?iWOPLvqWnsg
zf^Sn`_OH_}i=N|ykxK2{;c9>jiG%LhyaX80BxMqnFCX-5<<bvI0Sw6`xHT$lpj|Dw
zH#Y6~0B;wMy!a1+%T($7MY><n*ZiwLK8y0fgy)d+dVm(J9GefA|D8hS%nny$hj@X4
zk`5<Pq6xP-ch1+EZz6OtAD}FN7mR*oQde(lz%yP0#rji+2vhwMbCnP;yl+p}HZatH
z6dR9Nfe|9;VO>em9p-^m%6zf;iqk-x+OfD<Nd}MWdt+<Uc;Hs0XMdmQX}~l>za2?X
zfsK;=w~wAY@a*f-&HP+-Sd?U$;XF$NIHV&x*M<k|;;(cY%BzE)?gvjMDtegR5HRYu
z<AKxv7I%kR)!@)*JT~Am1B~))Dvdqj0r7vBPv$K(n9ovc%ne`!Kkvp<-zs?E=^33e
z-cxF@DkZSz`GN`lIl4~TpK#BeLkEnYP8E`)&l)MkF@tK3)$^$vyl}h8nS<Ix6*`2j
zhjfIq0JD65vgIf*6yChfCx};t1CE}=I1g6PNh!qDI`Y8<n+y-FT@`pC^*J>BDjQ@v
zGKF3z!NDUgk_o3)6_}|Q+n2?&L&QaQn778kMXRx%`V1A&ihgwO10@IaM@#6`pg8bW
z5Ms4@r~+$iA@dW{9N<rt!S!2=A0p30{<vqa0+bKgt#Ngn@KcefB`TR8n#PNYw63YZ
z+1M<Ggg7p!Hf(bWr4azDCK>O=ODaI19p+7bmmBJ0`c`to1R#j;j>daq6>z>D7X9ZU
z59~8@h2#?nLRibo=A!>jbjIw<f~9$3Y2izfz+*vh=Bh5nd8>d}&O}}sJs(thPFsZ>
z3Ic8;#)&)b#Ls>I+@5VdxT1W)L*Tv;L_So{DX3S0U@Z$;r8_v7{`6o{W<v<Z^+b}J
zS5@GD00030{}h*bSd48ShKov;w|$zeso5(eMKjYfGgoM#luFqm*&-EMiL@`WQ_><L
zw7s&VLbRYHrAU#eq)nkBgnGZ{`}aQX<9>e6c3$U|@vC9<b{7-l&Z_<QH}epo>pLdV
z7a?V`PN8Nc3pp!}4?b<+;r?8WzSq7Yyi?^ayI9S_t}J?`bUq(FMN<v+?up>IK69C;
zfQ_9ljn^h)`KUMOe2}JMimzT#RGCX`tm;hH_*&10ZDKmZ-`5mtX398t&g5Wu*3`UN
z3c85jw|SzX(G=?fE}OXcabP{2@on#1UAVsN*zRp=hTF47mYjLY0k!U-{V}O7LUr2)
z*jLPu5?}E6qc#`K1LE9oVqGM>QvVY`G6&z{;nhDoxL`Wiy(;AEqM)E>yfW4tZ@oC;
z>^v?O&Yd!3HqOUp&Yp`a$IQXjH#_p6gNqd%&Iw0u^O4H>G~~I-0w-i1*V-xa;1b#B
zz;owg+KCnYv^ooH@{0)C%i+QQoxypvFFaJrY#h5|AjWh<+M&zyc_?_yNFVg!;p!8w
z(<c+eaLYZVx7(11GfT3JYTCF6qR|>@ZDJS?#jGgN;bBzXB4~~o7prd;dQM?UKpRV<
zo|om}T=WC&pGP@pIF%f|z+D25ujd?2z9QySxRzu6hK<J7*RMMgC3tJU-_ksTxZm)o
zS8h6N*q)m9I=VoDbxx6g65P0WYFK+^+h!ItYp0#+tB~M|{ytKsJQu^19o1<$On5&d
z{h&XQV7?M7?^zxPy>){to^<QrRi)NsV3h=6y)7e&HXNw0nLOMQt&NPSRIkYE66_oK
z#@YUk4KuNBmaKq**vdoqWKK&^vYBTl>&M2a>Al{1lXQ$)ctyPSmSEw!*}NaWS!l>N
zIN{Mj!`JnvmQFX7K;V9Eup^cQ`BRAs-``S^UZJ=lds2-4hP6tzDl9Ms$7ThOQSe4C
z*QcsXjLu*WzpQj7<WsB8Je^B{kJXVY`vb*z5i#1hNS_Jy+A5M|6d5Z^vUYUw#Ry=o
zQ>YHq!Fd^WTK<?OypG01jyGGNdDS{4gA3YtxuqmMBu*3g`h9(O!!7VJB-r*`3j?y9
zXD1&o(8Shb;<lN37SM>)UvZ1dz_ScTyU4#JIGIqCD;vyFvF*U(C*E3+d$7}MPX`H;
zR>@800?pB?-h5~5DILo!pKP~(OG1Hp+0&IYbEujGHPFoI*gC7n{m~Z^*x&D19jY+H
z2J0<tUH52kTzLMUQxr|e$QwRv^fJS=7s0XB%V`*VGW_|#Doxmk>q?4L%&_e7_ip+K
z6-GN${5IxkLao$!ZP7hbq=vL_R=YyQE3I=fhAL!yR$t^}y~7l@-?pr|??VMkZ$#@`
zJQ=x=d}*VaA}t_wI>m~LrgMkm8&oLpls71DuNQ%P`jGMrLn?fo%GkehDX>kEcHWE?
z!KSjAx^p%aH9iWFrOs3&y6w}fvJ`=n($^y|q@wbL(~hk(Xn0^2lJ7f31oxHe52UT6
z;>&jVK=(!(oE*|(DNlq@2-%j~5k<v08N1HEm*}Wlys4FUT8LQd@SD+<R4l%6>F$LX
zEo`mrzA(O72u7^8{ah6qe#B^cC+}fk%9@Gqzs!Uf-KEqL<VVAXF{M&<Z*9nmHvTz8
z5kg;Y-TRTZG#np(wO#0|1NZ!vE9w&hT-2aXa97ij^Ql|<$AXCq<wr;p{Q@vTY87KX
z&=GnwNB>9-6V}<q#|zp8Fe^wc-W{ri&l{>&oN;C0)2VTC+-m_evlNO=bQoyUJ04)!
z%fhmS4<iPM{b9*X8>Tcea5qJ&dvY%uY+A~1!%qT;rD4jwhqdwDy3zUn{M)R3T{Txm
zh%~nT<~k=GaPk^=Z$8Jtm~j#*g(-y5H&Uso3h_O^;|*vTaN*(fYH;>4A!uPPS48`X
zxi?5UdP}*;*_gCCJWPn>l7p)115Er_-1_FLgonVo>n~5=72>7BTFs8tEF1~hT_C;B
z!)=*%6&qO*Oh1){rqr@vmnfEhV8qA$J?H(MoJ0s2rR31f*cg^RA2Cnk<JfrpEoq(z
zb?Iww&(CG!TFl&I5#RZ6+_!-5H`5e0A2~(QBo2lzmUOR{=ptXo@`qfYDNZOT`u!Wm
zLEzqd5AuR^;cfNl%h(4~WLa}=2s=5*o!a{S&{<t<blzqD*Ub#f&=g^|ITy>!O5u1}
z7n{aq(lZ;(;5T1N4?4!hK;ewY!Zcl|-7)rDXlstBdmF9_TDdSHpK5Ok(Z$JwErFja
z%`yIXvoKME2Q5h`b+d&o{J*GLzcaPK++dwTBP$+;p162r_wx}ZVeeMFW&za#-`}+D
zJk-3n@i!oh4+p=w{()KqpX0X=c^}|m5p5<M{_@}?_w}+UT8u?+tm@+;c{u+nq0HKg
zhwEB7TaR~&aq>s|5Iuy4;%~2C{Hox>qNCoV*I0sR<A$r;^*jvrWwq{}#f9%$`=^6@
zB}f*U2Yp(=1LrVzrt)$Q9v(IOn07;gWu&b&a(}rnk6-1xEsl*Hj<c6qwo6dvS^H>Z
zF&AlaT20h47JLS)cSZe@;9>t=+T><}=a(w;?u;;Twr{Y@RY3~DxQ@qq1uiDbIQ`kP
znK-OkRU}KSr+zg$|2LC^%S+kb?_O$S)j!i~REcv=SNv^^Gvr{E;Kp#$76u+|b<Vec
zCqcoy<K1`fu(74|@9K$}TA1mx!Tf5m1e#5&bUdVN?4v00?$^`cd}F9i7%M^FsOD~y
zDi%^DpFEQasMyo*)TX~of`A%Nm663Pd^9@h;+01Mx$OD-n+g*2J6`QKsAj^TP|@4z
z2^r^Ro-b7-I3MtEQ~i!*Obn}QjNDfs!~ICn=$f5kgjEGC`|pwt=$5r|F<Ujk%!wba
zA&If><jTjkW!e~6BE2y6BMFZJ77uMIv%sD<|K)WZ42<Nu$u5c{!NtKUS$Cra7Q`^F
zx~MR4d}E@LoCOKf?l>w<%35IYLDTe2j#`*6ozm8$MndlOX1Ti;&G8_2(9tN94#%Uj
z%KhX>Fc3}2pf5Iu{c6Rr;t3kuWjy;>$|Piugbp=!n<4u2KKnv~OZ}s}79BPs;g)IH
zhmcq^+-qESIg8*nBg%oZ)SHCxb=y~5&@)5F$k=dS92Ly5wwG$9B$$6KRcfd=Mf9Fk
zxwq$0p<@}lw~VTZnAd*P{XwR9v&X<mdw>Fm%E61GW13Kc$w?}c*#9eW6TO&%1{?j)
zDH>$-&G$<qHHh#$^T@H2$rOAnYWkv3K!(@9)vB%GB4iajF?Efnfb!kE>8T3^L1`Uo
z4^2dH>G##2cbI~%pnx)qnM5wno#H4S7Giqu_}aD$6nrT$TK1@k3cB4c<J>|a^e#S=
zQ+YyxU1b2P=?V=-7RfE%fkG&{bXFXcp`!Y#P4mk`bdW7$9`s3sxZm6J@%d6JF4;7w
z2?)Nf=0vTDS0*?nTrum)B`Turk`_6K5bte4mDR0Y0qRxi-lYFS!`qK{6TBm|5o~B+
z*ZN2R_cf<}SjH32+1_RK`6R+yCcjMe%oAXO8njAFg^nuwj0XQTOt9kD@XJ#KkWJds
zlzEj7N%=vS$sr~>+@E-EJSsr5e&!7Q<yxSHR!lXHVZo!f`N56D0<=W3+GJ%IaDD!?
zMNgZJX}9zJwN4A5sCd-CxtxKAi`yNViT~q|hPLL^Yyp&%2a|OYwb33W-SW$o1Cd<j
zf(H)-uyIJfV(p=WDIUI#dLtZs&X91=b_<XYrdW7an+a}S{;5ZYxcE?%Z~jD0h@8~C
zucuBjv1Rx3o4*-6z|hUX*ItN<A20gtr?D_KL6ugM&jY<#w;=w65T9fBZW}zvLV1#F
z_Bi3^<bbiV(f2~E8ujEj|72mct(Ai~pO053$Wa@FBIF+DmRs#2JTlGQheILwxukXV
z(o_*hqqX0Cdf4z(7|JmwxE-!}cF*srrf^E$w8CXI2XixS*N>O$V(3prOjxif4EJ0<
z>s!si(3=V+{tsQ~$8B=I@YNK?TNG89^SH>qOrDcL(nD77VBM&%88*2-J70a2i?N=$
z_NTS<;KA6FRr}Qp%fBR4J?Q2_x_t`k`gA>XY(M>bNq{+?sIAfnn8(A>9%VP}b|M#S
zv*xe;VGirS$_X#Rv(^7$uDEhq7q48)t-69O@Zo&uU)u~G{!GqLygy$TCbbD$FOOQl
z=|SJKu`;6PFub&m6!CGd-}rinml$i-rd>T&Pw;<zQ|>U6j|E{73m3l>gIXZ-;2^R7
z?bhgm-FtbcejQrDTqr?N-WtOg;+*NlZVj9VTpZMAk#{6W2wu;7QIy8RiQLGmX=5DR
zyHKP5s6hh$h7Vi9iF~P3xcBomn*;X#3d4m2hqvwM{gcDz;mVA@iHN0aTsV8Wl|E03
zX`NFVtXsHvQt;>>ML!neZkbp~t)*!DI=#ARFBgjnOA3vWnD}(BOR2&^ioB3V2M#H7
zq3rMUSrkrq?gIOE4O=OaSNM1(WN@(2D~&O&j{%>q2Nx%dr5LXrrk!RH?`z@4eQsN|
z;IsC9UXY3u><@-fX&2a7IhVOUf0BkMzrQKjT@vJ<egFIfosE_O|A_EnDrP^QJn{Uh
z1mAUEH@YXWfLryumma6!Qp=mYc3ULqnA)NFd=?9GbBY!pPb4GyOJetK3XyBYflE^3
zm{{tRx=l7$6VcpFhNm8jVOHatY%`UKo&@)Rv`-|o+}-f$n~xYPHnEKNDe535&d#*b
zfmlCuBDh9bj0KjW{`DknM23}Sc{gid*S8OMbPFvoZCP@wlOY4w|J=P~8mfUg$EuH#
z?Fr5==xJA5P52wfLoq|5fzVw`&PMi`<3lF<^sJL~?9(P&cI#*$Q{*Q!jWS2Ma^8Ur
zgg3SaZ<$!Fr2)~I>Un>)i2lg0aO)P*Fxy`<+|gJA*Oy3|0!z(sBdLRAdX<WkMTxxz
z8#S;y(|(tQs~JKLywj@Hr(#KSee>RI4UE<mzI*r06wEyyu8rjsgjvpMZk^D;8%w*f
z)+AH(iLQ5V+d)Bl>HELrog}axmi;&{GDXM2BFlI_1s&71Y~~J<5M}H1=u(FW!aCUu
zjh|#VB=ii=3DZP}s@$Mmq6pEI_f~hdkr8~g$I+2VJpXkLArm4Ie!j1`bFGO?++WSA
z!IxzG992lB4+(L8((1I?TQV;0Z~Mn5g#z>Q|Nd6Y7NVxxmLww1A1SiaaPX$0=Uo(2
z-&08BUURM+kAhvdgS^T1G#p}mU)04BBJY6SkmXhitdSPvXhFxrs~hK~4hgVk*5~_K
zL>~Fu)~pXU(*lXKpz+>40Y;KW!>Lp%;gNpTf2<hjD(#9ZIVr&Qv-1P3k5KXXY5c&#
z4cah|xT8DiCqR5skHdXs8tha;b)2Jgz%YrwCbv=m6{qM4g-bL{xBoqwyPApMW!n=L
zSqk8pQl6h-MaRjepsN4A6W`sOgWKl|1#teWr`G+0j`e;ID|aNbV4yEJZ7mQ$baSUR
zuUHE*o!9A;A~yECD?a>NB0%jQ?^(y97^uui*qQyFjjB;w<uWG$%DS3VIP0{L*cH*B
z63anH$Q%0+VosX&L}i&o2m7j2UzgA3;<WE=yU{ZOblW70Wi**kI-v6ATRj))d5o~B
zPX#DJ@zj4$FyU)<XyO*Zv%QCBMmj1AvEt*U-=Rt@M9?!|)ywgb!<i!LbP{4XawK}g
zF&0)CdH23K%|~p#m2=7!A(qwVUC~o!qiAhd`(m;#)LY+Q<tvCV7RM`%J5J=5{=i4K
zBf9u{S?QtTZV`U5%=S!G;-H$ui+32-g{#q9UTC)n^?jLT(+_b_JTIB#13lE2TYL@h
zFvW{$;gJKA99+CHbEitE9s&|9&gKw4pI*5s?Y%D-Gv-fU_$Eycuc?!9(L2phbbZ!L
zS~C}GoqvQ@T+l;|t*P$ZUuO8X#b9H-ArBJ~&X+9`^|1WYe3hedM2}u^;F~a<2cP!B
zvm4y>Fg+|V%tONhN9iG{w<~yPbIaL1D5povab>Fcc?;ZXi<sUp%0rJwJ!{t)U6gNM
z{5OXyhF#BZ&Jqnix^IN#S<TYL7wf!2vx{PMJeZ@!<??au8DAxJJD>2GiMJO>5-imz
ziGI%F!%mgs>T->T#ZSV9st!o-ZseAY!asa8%Ji4Wb#bBDx`o{QN&=bBz3qcN#Qb$0
z73FeVY=8I9%`G|vKRu^vEB?zvrs}2JpBWqkFPXC5Z?zP;?{kV4Z|32qadM}&5gSjA
zSnIEikm7*Beap`2JS-4*Y-n4=!Xdk?0GSjiSQGq4pNm{{s;{2EXB89P;=HDd8B$Q%
zn43$8JZ(Udw6I4TuLEO$cAk`?wl(a0*>w)?*mfl=88PrO)Tb*qM2b6W{j<)@Cg#{}
zq}XzXj=g1?<+B~7@Y%9>nolMhhHIbi&85@8onNbSpDG1awx6<5iH!}5pX?j2qF}Yx
zvs<rTOW-gt_AurE3n9gaj;bCf!$i*R`uC#}80`Nw(C~?ggy$0}#*v!1wZ`_ySu+Xb
zrYTzevyO=!7pA4(P9;GpJSunr(U0V(Z~gG_oDP~FI!;~iS_3;6fhn8_G1PuK{yuPA
z8_DO+F3C67z%xqgkALZ6e9_q-|L7<KMpvTeUaL~arRM>+{@fyX-a-w!ou-AGp=#5^
zcdDcM&RZUJnFW@954tv^l#cMwA>V}y)gd!H8vf(GIo7`#apm>V5af_F{(`2Ckcm&>
zI|#2pL+^DBeHz+4x<)rK)Un)U?;Ar!bKFWBVxK=q#j?!}pJmL{aZpD=arB%S-nH4}
z+4WOUdoH14z)v0j$Q3TPHZeoue9!GWw^8u<xrcuAU3Ijx+Hc-!Fh$&l!8h!2GL|fH
zn&&~+K*rXf{vvNv1Z11;^S?kwCgYWy^n?bEJ^np@ce*J|H!Vn&xRVj+t5K&)A;EV}
z(qqE{5teV(UhOuQj7ht6wb2_Sc-1)z_Bs>)>C&7t`&7sv@BQ$IwO$j0HZAz^R|xsg
z*8}Sn$=KjoS1(5;_`N7Udq#l}ogeFCZ>p0Ky1wx-t%nSn{k9;@jY1gDmgjPe$vDWF
z{pe=}1umwFeg~*RERo#)v}Q9I4I>PH3!=vj8g?sReEomEskzHsCF9w$K%b+8=Z|EY
z92q_*fREkQmF0iQxFV<W^H3oj8jtmYUhNRz?CMnv$rd74idAK+s<jaH`-|a23jvIF
z^rbW3Q6R5m9h^VNz?RtuwT;LEu$DBQlk=kDZr`$ZXBaw=PaOzIA2-37jG<)*WoZbf
z+|O<@U}Ddk7Z;;GnjmqjY=wFO4Re+rXj}b)iGKorIeEV}!M=q#ZNhDI1kH{d%iqs}
ztLNMD)>kG7A#Gc<#83;FABryy=&>PFV|c*voe6aKjg|fi3@DMjnkHVek+{Fz-TA8t
zn$iPiwR~bgF4N^ydLjow23wNX%o1SL>OFMlx7r{Ze7P&M;G)dw#M`EY0_=-US(ntJ
zgTx@e8o41Z$nNALq#gh7FQmy>UnWjBCY>Bk;o;$%>V~bk0^D00x@pfhCf@INPRthb
z;XbhS*@rO!D#Q=={UPT5y;wtVsEv=}g;!b84njm0Gu#K|*$68Mzh1vn7Y~}1+h*Jn
zVs_O!*$#s98?%mo3HYLm*0Bqlrf@`<syOpsI|>IIzAtsy<e>-8S+8eaJ10U+{0hs6
za~wEasJRz<PY-tI<=!Z;O|fQ>-IUAVLa+URZOMOnSYz;W-|cIrIJhylwCxNR=lt%(
z*y-zIn-1AsWsw;++#cPeF^z|YnD2{gP4p3yT2{(vGs6}eVTlWoXKU1BtE@TtNdER@
zV_Kj&ZZ1mya{dty##WODqlfk2UyU+(WeX%0H9OIj_?R>A<psradbocrQt{Rm3ye9J
z&`36XL^x=sTI%be;ZobG4v`r9V+8x?etgi1KXe}=`2S`3HPls!F{iib_^c>C26p{C
zXwb)p;zN_n7E8iEWk>XR#Cm6xpn9z~AMKv1Ycp<1(4Dz(awc)kEY`$JdGK(uvwzAg
zO(}%Dgvi%cd>r&0S1w<{MY2}4Vz`$SR~!Q`YRurHM(i#hLG-&QRJ7Dwk)mSJfWe)6
zJnY~5HQ(Qbjf-nvoHu<bh2L|k8qb}Ft5sgFOB`8<$@UA)8Ils7*2q%%%!P+~fxnR>
z6H^LbEZFo-iYLs|D?@j4@n>c2vz!8LSY7}8i`g$lm%QlS*?tbz{?2!p@j?sTLvI7e
z>!j$m)!bXTii69accsaY2;VtLv9`V-#f!a^$yF6>n7?%I%?zbNQ@kec)HW%y<TI|{
z<+71}Gw=Q>1;RJ$zD|o{O2J<&Utt{2LSU?liSV8#l$lW(P0u9=uqkip9bkg5AGxiV
z;CYdapB^h%f-jc~yBZysNL}aWxbUI|%#;3`R3h>;wP^Pr-(5QBjI{`ve5sCx-RGj|
z*TiVfJ9^*2UK?sE-Mh*R)L~`e_VVf?F*4&P%03Gi$k^k+&iq#m2R_Qo`S#KRE57EQ
zj5gAOY&rK~tdkm)T%ShKHd{bHH0xu#n2sIwYW%rmHLQ8x^O8DZ4r-s!X487Y5A)Zz
zOa7|ju3u?f!$EWGqr1IjouooE<t};eq$>PU>r#KuGDpM3i?iC^P+(u?UvQnS28Yfg
zy0#f+==keeDkq{Kc%lE(A>z6zx?dEQ8<?TMO~dj-J{ex=ZR{=Q)j)68TXn3$6ui$K
zvtvxi&|Rn{jGLkk)_>nxquorQ9I|_~rCAdf%?D%u>{G{o*}wj#eHCHN!h~OWhcxl+
zs;nqmP6J{~+uNo`M5vYauPAfT1k>_)OH!5w-ch`JE9QzIrLPaZW2_1GrQKnwD@dp=
zuF5>tB*d>c*JfM3Cg$`!Xp2|YME`F+d71q})Osq;{b!ygg0h1aCv<3HW8~1x0DU2P
zOh3HMS*nQ=Hh1!VIT@4%PljyX3D6(;Lak!2Cc@6RcJ>xhu(smRo)3ht{<Xa@K7N<z
z6-QmHo)%KE;!E?4d^Z71j0@h%5V=!nV!h6=oCd8`2X84e1dwg%b&CukBTqBn-ivp1
z<d$Zn$9yt@tYYa|y%933nx&F;GZ`48-aHjkZUV)S!}(bUD5zP`^=G+_Hqjf!+>;q5
z@HxV1JxTNeHJ#pFvL|)m?{ve}ILZX<JOffv4HcVKgm%^hFtO;__TjPJCU|(wBV$1v
z4Mk69F+Xxyh%S6A_S<0sr!}JZo|SZ*=sL_-dCNj@OFMbK53&FI$OYL2T5xaC{^gX+
zMp?YlyvBVdc&htz=Up8J>UO8P1UPfhCsVYp<CF=E5?UfPXxfP0b@0e<6)rY3Y#;6^
zA#y?PMc6y04jRZOow?7sxNMZuuztV<O0CiEPE;l+_2pAL5_zyIedU<1E5O#`Hm&9>
zOhlLLuzh05$Kr^p&l&*&kSi-@4+~i+?DBqNFv7<V`*Tn4)CpjGy}-r4j)fg*f3~O*
ze5*5j<P>j2^tH&^BfmV@=wlo{EHu!=meg_Ac|>3P8eu#<{EdyEThdm8TY5;;_gq9F
z_`iAhPfi-qPyFV)y6xoZW8t@K-Sz*9;5)xz$#iut;=R|>c7*BUc~#i?dzPk<_I!Ue
zJB<s*t7En`clDv$RekyNdsC#895rd8@Nh|~^m6bUee8K3lhhMw25ZH-ga=1>I8~~A
zwWmcND;bIIZu;g}rr7nl=o=4l_6O(8yP=PDtwyg*Uzo#C@4vnTJ3bnQi4x+ak4uHS
zk6qelfz)uNXC|lkNct}(MSffl_T9I?hiQqCM=hs+d(4MiT#{a>mmbDylHXn_5u+_*
zdGOL6K1LkFt!@|TVw=0gLuFeDItKI8d0+XcuYGa1tD6tkBK_EorxK)3Jo?@DfsZvC
zhN3y+JdlOKIj6)@{LEAJ-BrOybgxRF&o~$2%kBx}Oex%68Bw$o_|V;wII`#y2kVme
zR(F4rq9k$IK&u(i7mC!5hBvWsS@U>Ggenjtkh}K#4G%U;_b;Ayn}v#i52qD5fNH+m
z#uZ*XjIpQsCZsX(I;nIUXEyM}I;-^WN8-C_>5mRq(!s9Ue*d|;K$w?ppqDEbJxe0=
zPyeTduJD{k#WcX|uE!Af9tYkbFSkrpp<|l+)-MtAKyTReGw+FfzZy5e>9L~1Q+A(C
zW1|#@X7{&Q>|ta1<B{sim&rJszG_uTf)xJw!G15RS@<6S0096043~F2)PEeu5z6K`
zd!56%v%=kR*1cqAWJ_ksXem-k{j|)c$Q~7v7DYu;64H>AB&#8Xj1U@1e)sR^@qK(B
zpYQka`8=QRr)XPhwX&f!gzq^JO6hC}z7ZG~S0v%*z^{V(2`StUTKpK-Z3%4~33bC5
zRov?|aI1JDiPYlz*F>T$L3;H3_|8HVbSEwHk|zlGo#bOLvCI;FbxX8Yfy$^n7Au>i
zM?lT0-!CQ7E%2eT^8F!QC5)C^*jD6AVDZ`PsTc(d@G&(7xkMFlGdDR|PEP{CjrWqG
zOU)5Iubu72t$^#siF~rd;%Iu<uBJjWM=yJ&2)BSd^c7s!jXw~_`Clhpx85+r-mlz~
z#+q`7@9L2qxg(Bjr>r1#V>38D+_0)~oh$@v^vsi9h(j|rA>?m^DS}K{Po*!&AR|pi
zdiOtZta0kgIO$-DCNI9ZSUwr7JTu;T!A=5$&JXf}x>&eeW4&=CUK;S9*kM;Dfln(g
zCk$_3;r6T0J+>m!aGCrj{z{gB62_{K({m;$y4Ts_dXoqxv)V&T=LmS@6?&-Qs0jil
z-#A>~LBs{$uc^;jk~mnGV%x4}g0f($+maO#s-kKYkzXY7Xgm2DvC$YAQAQ$NR3fH(
z*WGe1k;032vwNmOjB%;6`SSx!BG|G|UAUr%FgCbIy1Bv_)ui0`wI)P3mrgCSStE^r
z?u69(TTI9XZ!4w;5n&>_KX1xh2A=}DqawnYcpqN+?`IAXo%#7alV-9ws6^_LS7stp
zTCZpI7b0wiUbP!K$wA|$79R!}(6V__*=s8eW%mUCsx9*P%%yeFp_qZz-k|Y-I%&KS
zbr*8WSAg!*w5^qq3~;x7J#~UDgUh7ge*?XWm|tmCJZr^3MMv2vsYeDW3xD5nQI+AG
zAF#1hnE{;Zb?ZDL3++`3w^pX8z(y}I)}5CDDaY#1tJ!k6yW@&$N1Q66EGEkGX6Xn>
z>}G3-$m2|f+wDvy3DsMErYKL+VVu%pI5sYiITg1Yjo&1wCATJ~%+T@m-GzNieF~UJ
zyH}RbsD_f}OY`yE4E*SQo?6P;UuFG*%C_TVNQ9j+xU9rLg4~(dPs2)B6n{W)^;L%@
z>5JcGI|d%EC;J@dR>4@1=`MQ>4J`3lJ{FH>Kq=!~7C}lCwFBh0QqvkpT08sM{~-fw
zns5J!zNU(VJ>i8iHJU(Laps656Gdv57#$8I>?+z_>$Z!6B3gpr@Gd5nY6}1RG(tks
zI+j^DMGMV?lQABjnW!vk%+XC%!^-TX?-gxYhzp#1HN-g&&l9=n3luV@jLsXg1F4W&
zT3)v_VT`K%tM>UlBEyi;G$q_ag?OgUSVf`<n30VAIzj5lktXS{Frk6?>gV5+6c+R^
zNdHxxR>w<cZe6E18npS3C%=5n!iRzmvDUpBs5EkMbIPS*cMp9PBgGWz`>0h}^BRbB
zN*fi+pkd|Hz1PIpW=Q7|u~`wS3I3lkKR1Wc@M_|Zq316%d`rA@=*mM)tb7~1UQ3jQ
z!B(CV<=4$2`M7p~Axr_$G@D|bMulVXn}x&>3zY4sleuC=L5E0Tz^_p)q<r7DX04zl
zqObZIhp(qVHfmydw~`h{?Ytt&E?R;-`jwv@K|$f}yL^=f6!bSvF-(ovNY(AsOZTRL
z;+X$;Csh+4r_bg)Rj@JN9&6~LO+l4&i9MH)2J9_zAG!ztEn!Xae@8XpBCyr&)c_f8
z|HX<vSqaQmUog3sriqRA(z%soYVdzHy8FB{aKzV5i%HT%@b&fy-)$u1wDHZ>2LQ!c
zM}HnWr-6IJ?aC};RS2!!chWNiP_&vKHy6<W@4Ku}6Io?+ct@=r^8?&tY3)*x>hQXI
zb9Cv00$R@5d}BKTJ53rI_?pNN{4&V=(k_Ri3~f;>&VF|NiYb;5Bcn3da7u7g2KyKP
zYyK$$WE~j0qQ6!Rf(0Vk#T?G7Jn)tK{e+D^!ihL$5ea{nYQ%+ZNWqo-tfO-?8w~q3
zJD&}yB6iM6kPsq?Lw9$yp5<br`ys2*O;;6DGl^!pwgenpI{P9p%@SIUX&vo9l~IxT
z%>S{U1o-ZWuK6Nk2@i%G`F@EKBsZxHCY=+<wKLuwy#*Z3r*Qp<3sOW(=CL)$#KjS?
z$cU^^w1Cw<g~oll3J`21H~V;t!MyCQPH}-bhQ;OFuS&>6>U&@2>NlbgQdqX}iJUo<
z9NgB$3Cp3Q*vV^Oz9@?3I)g=W&7e1XZ|sw@EaZ1HN*|pS#j2|h>zOhf{)f$vC#{x&
zN6m+bLj$7l)$MyZkz<Nyu)1>ngfzDGK8(#+BZlmMSppB_O>t5G*VnD1MC^HKdMIgH
z41I^oUTK|YVdJe#?lS>IeC<2qX&Wq#=)NxDY%R{c*m|+LdsGVi6BaS|`o!UpP%ap8
z%LH4TL(a6HkOI9TQe@+130S+-|DLrr!CncGxxe;O*cU4<V<||$X5p$YX>W~@-FDex
zP)-V`ws*H?-6P<Ni}#x2JB*=fo$-2(oAbQy(x=ITl6dh@XcJS|7y+Rdj^199gus~F
zwna}VSm+H)4OKAleP=|=C4v+p16w-FI394dpDi8sVqzg7XI+q~6w=EmkH6|l<IwAp
zkOFQdZZ1=|+Zii`2$PBOAtM=_^&RBeaEpQ5j&i4ytx{-~b&Rcdl!dOr_{S0s&(re^
z5<+Q2T%C$CD%>dt<sCix9l8vZxUKnCTTFy!&-wkAuF50o%;7H~^K>{_NejB^NaJ%@
zuim$L1$0NGoc!2A#{rj-4GT}DA>`IM=j*NnyXdd4`U~m!=s2pDv`+?EecX|y_m$C>
zeYR>Uo{sM(qv>@Pve<WQ+fK5QD(37Z9GW-Lk!^3W-&;}+8^(qo&^hO~tk!wiiXb}b
zs8_Zx`y&TW0s6ME8zc<b_^9mVtk>ENcDc{V<9*Jj3vUzDV34K2?Ak&HIh3d8(mw?_
zuQOB+3m{{)fq%t^1Uk|+({$N#9R3FmnP-})gFrTX;(vvXM<qN%BG$_Aa_Mk9DXoE=
zKTI|54|L>s=4@`>r-F_|T^orx4HWCguHU1^z`CB7s{X;Mc>d@~=*}0KkfsdJI__p*
zAz$z7R(=vJDM31?ODK>Q`!@9PEdvkuPsw;yk+ANIr+UveEj)73c(}=tiINk8gIPgp
zSkJmB<U*yw<bI@l`*S8%*;I+_6ego)zoKOJYbu)l2+5TO8Kco`YsT;$GPX`TRLDfo
zP~pA-@=L~;yeD9OBSal>9ua~vA85!P;=eX|%>;uIqGE2m8kq1B$Q@;BL+7*A0pD;I
ziv8MUh-Wq6vU<KzYl}8Qwpi^DqnhH*8<K*yjwYl&lJEW9r49c#8vj{+H^q-^VaLj=
znjmb7%3tfH4R5jP_~HgLm=s+oYnG#cs>ZKv$*+w;M%IV8W9IN!>rKBMLqS9CN6}@+
zXb9-=ZGGl$0V>ANh}TkZf9cnwn2%I6TP)T^i(A6zHgWvXAO$~Po6k)NQE{sy_=Inh
zC3as<@3Z+%!Nm8R`Y>@V?AP8uQofOm)>oBdnIjYsg0DVYIjac|)r!Sm(`-1`?N*L>
zNWu0qjM;&^8t_ZgYiKkAK6h^ERz5^QWs7{{tL^IG?Yvr&zX4GBbaeiuIt4oF<<}>r
z$&g8nULBbTJa{O+l2xUNcHf)YiuEMqUsc++JP$bO9u{$tq6u>C=I*Hts>uH{<8t;q
zaLIJTs}ILC@OAC9Sr$zhd4GFpO$C5*)@p0M_v$#E*;!4$p#XEy+kGy_0kMyK>_~NW
z(EZlx`>&S+?clK*&nRHLbfZT?2pI&qHKbLmWYBWO;FSQ!N4{=Xxi06bVP6Z{Tm6WL
z-ZQ_ZRs|s4x;!l3PJ-g>>~z*ON&M|-*x=C1hS%_UT0b`luH#!|qD=@G%lZ6Bb`u+k
zn+{eKvs5uErTOE?qBsKYywB13W(j##(A&~UWjH23$lf_Ch9N`lvw4x0_%`A}orqO}
z{x@}VmX|2Z-o+)Gj9TDLSu87_por7<HRF&L!3q0IRi(ieXnlYDwP3S6Ja^qY{K`NW
zISz?uSZ~ZhIU%*V{Fodh4+OsDJ12x~D#XJiM{`um)gOJmMHYP~1<D#eLilMKJnH^{
zGyk_Fq^E_-U~h3Z;ft#f*3`^s<}l1qJH_X+eXlgO?9h3blO%-Ae!5%oD@?(cb~dN{
zA`xZgf!Yo;Lbz_fj5$g%#TMQrW7?Dy;`E=%JUuCl@B3!f{<y$G=B_JyuenR1x2j94
z&PN108+U0_HCS-TpQP5eOJX;#_WS_{QFOdb*6z7vf(=>PgRL7RL6M_xVy_p&u@`~;
z?ki1@5xzHEUtAL3i*l7mUBtmts37;D-WYEzxA?fcAz*;(-{04N#gS*TV&;*PF*<k!
zh4)nv;Nh>t48JFVdX35z&L5e$5~wsqyg)$K!(8q4CkTj>@2$NP$3*syZo8A$2&gaK
z9B^lwBy7LG`{X0b1ec9#mH#sWma7+zo(`14?Fx&FvG*8=Pn{1GUF39{t>dh2FcH=7
zc|UFsXJBGvNZr;(61=q5w()3b*a-%nJ1fmVt?K2p>T{A{ZHTX-XUkx@-L(VT+v$k>
zaCT5$ObUE`v#PPrWifHoZq)ra9d`&)6psukSZ@;LArj@`-u?$q+~~;Nne4>kbdA`{
zA=Qv51?<0Z{9B+hhuc+7EAPH0f};5QSMqyB#9b1hRm>UTMezNargUlK=o!o%3|2-D
z>qtsaml3+RRA05+D1)lQ8}D+>s=(sXxFodzQb4W0!3e&kn+}LO$YS$e|C@%-RS{Xa
z@6)SlBNTpWyt)E%Ae-wwb}1)e>|p&{+D#+KpBi}5?<kM<5jz>aV`?~Zq<W7y2Lz!G
z%T;7HDL{0_b<8Y=Gk-;U?hNlULgc@Zw~{%EIB074dJl)AP6dJ`gk^NRw3uoi?N&nB
z6EXeQ9vV1Xx>DzdDIKK3Vk3V|6>N^k-!g5ZiI*~ec7HxX2WuJ0c*IH-DS}BlQ*;WZ
z4hL1_^wY5}gV~?=LlxV(DgB`;TF{6+(^z850Kdvf>f&`0oRq7b{J5ytZ#DgVJ*O}J
zo!I>N&^9%^6JEOM#^JvQX|2bnHB2}RT8!J#$S5y2Cb^xVA>SqHP0u6~c|V>8l19il
z#!J4yZKe%oafs-VB4a#yy!a*kJcmC^tqa{P+NiOfw9X7L!I;c7wGK}WxHiO>LR$yN
z^epFesVt~Db2q<O)WGi0{Nb5RI&d0!>($0(3btxqw|4>OJAaxbt&Gz_<4@}iHXluq
zX!9jij7kA5`txCJUmaN8cM<AtHiNH^&5A3f6flB>bv>5p;9!(Vph>woZZT@k{aUVt
z9NXWwOX9TA)oir6DT(6+yC)WMo?6H)HH{yxr@@1{@khQN#|zt8pYo4r;Xu6Dlg{T<
z3>++`&Z@G(tPtrh&eVc&29o)!w7^#?8Ex0aS+5p8z@MrGwP>gG!R-_XnHRrsHUVlA
zFSEA>XkpKY#bu_bCZ48mTeU6@cw$|6)1IIOZL6Z9_c`id^<)c?t^u0y%EXZ?6mU6*
z?KdWpQ5PMp`>z9tl09kTr$xbXryBR7G!oY5w<*2&40P=qJrHzK6Uv2(XU4=-@gt`8
z<JU1jX<)|K?41T0go~18&6U8Dr1*t61eC{pvd&k~z|{u&im=1-U^xvDw!Hu@K9GJE
z=&TN#HYH{21sT|$X!*RV5{Qv|<+_J+UZqcIY_zQ;;^q%sPbrS4{L~!JH)X0J;Y9Bt
zwGv5`CKn8Zy951{-1Om_BpeUovs-v8fzxK0)^}w9FT?US^Db3z(?T6<UB%&da(U&<
z4K|K^P47HBqk?_x(YZxYQC!njebYx}qhRw|TM-9kH029QIQ-&pJB`lXUuX&0H`jM;
zyP=3<QIj$1o`Q(&7|HG6blhuvl2X)DK(gFL4}WO^gt2~lrNmlbOXt&=m(3i{g_J+D
zF<Aj_#iC(>L36B*U^0?pWU*t1rmFq*<=`_oyzYRLIqrNu`a9cF2C*7VTNyi-!>74j
zw5!GpVv*jB9U9V@eWxUsv3EHZ<u=r`k<Ab||LH*rhd&<8@@aK<m*do?qAyDsrm$S5
zR9LfG3W~OC@_rkvfbMzIi3wg)Ozl*$5J;B9rJ}Rbc|9xe^T@S3KjT<9Xz2WG?i~Tr
zDRxc0mjy6Ao8K7o-2~Q0J|#VNBjBs=bnKU6LHu-H_q%+%2^4<Y?x=kyfiRCm-^cfb
z@T0W*cjq@_oPJz?<6D9RA}+jF@ctu=8F!^{y%=LCRp@=sS|x!4$BWw()`?>A7NvFO
z4-@yZ18N6kC9tL>R>`Sb3>l9@M!k+QA?dpD#}c0eSf2kyy48uJ#ddBYU4e<}xoD!R
zfCM(AW(Cl4BycXOmoQSzfY?&yfBI??$a579<VhmnahAJ(t}6q9t)wr?ZW3UW7jU^J
zNTOlSh~&%+9sdxTaw|guJhPb-l^m|$aGmk6&8Nd;?yPO`R|)tDaND%qBto~!Yx}GN
z9mW^%xzdY(Z118wAtTZ-iKj({{WC%fzgIxRYXW?flYZ#y$>QLSBdLUXBOG0swE9uF
zBzP`&OOB<=;hfCv*h2@6FkK-M`AkF#>@6qCbbrZ1C{F8xjk6Kd^@z;DCsMFl5lW2t
zPZ6Fa1N-^ajBs;m%ve2_h)A=b*MEu1_{1_5J-}^*+%@bSmHVZ^!>h#8(xQT<DwC<$
zaYHoR>NGeLBLk+`Aq|5TRnTq@igkQ6gk{>}^IZpJF}{@P_Lsxm;k*?6*iVMI_(~zx
z_q-gMJ&a-m%G3~eLTqX4j3NBB1BCj!<S|3z^0Fx*W5C|7@1Cd;v<tT-epFP%{G!Yw
z-HYnT+TLCLpP3OZjNVkauty2?X{naaDmAb=HmTvkUL)jxYw6(otc<_Q<sP1{)5K6g
z$ez=Wjo`T7!qjY~DmI*Cx%xL#a7orL>5~>6f*b8GM$fClw~qYC?+J&O17X%jia5P9
zG1%(XNJ4*oSb%s76_d>`9&u?h5Z+f(ubZX@k&vQd*D4x{8|e9kO$_wUEqCWyPsS<b
z&IPAq+9-zk3?+sMySwKH16Qg;-zH%4mV*x5OkT%NGL6wPti{^9s1BjRQ&U4<bRgnZ
zE}AWDg5q$O0aA+wMn2Qil>Bw^{0IAz1m|9qgqw-<9@50oo3!aK#k%;SzBeu9GYbn(
z;xG2;Q?OO9NhbW3E)3cei0&L;JQ&>@ZqZHwhJHE?oYY0C9i^9N&<sD4PaGzCYvJOv
zzD=Uqy72aS5|YB<!@H-MZs(e{P-0e~P<>1XzTA9)&I1<M(^lWHok)dj<!YPz724Re
zuzLI9HV%Kh(vO|D=kyZu0VzF)hG(&J)uET!aA)N-Ecc~?r$F|@ybBe3l{597I9{-u
zzo_ADOU0QLr%n&{P>^Ld7{)jSkTYc|hGJCs81oGYuhPVg$t{m_yMUFaC3ReCv>-;!
z@CwdUM?PiXG+odNRbh#t-sW0REen;f?pMQ%cTCzgJu4(liRcY;JlJ5PCOJnU;mmn*
zxPz4y7K$VFLZ>yc-#l~Wy)Vje(V%vPSz96hy;NO?h9(%yCq_n<3OID~cGgFR6(Uf=
zo9>_i-#6pZ>epmZTfIKdNZtyx^RFjY1**d?j`Xx@j0l5%iBg&GoZex3<{a8YhM43?
zkZrUi?tFYNzwrTZV%<lly6tM%^rkeT-C6<=eLXUn0E~Q(d?&n%gdZ~^tiV=Ls72kE
z+iwL-@Z3IX@SiHk9XnM^3WSg!Wh(12%f^AS{>D}*6;ykt1a9XNz^YW+6CM6+y!;(n
zduNprij~3|RmS;2lAS*AwZRh2Q;}8W$qEo(-jEUF#)o0ukcYRGEkP9@ez^Rz9EN+w
zWkS_?A!W2{#rS^~hz<@~7ZxaskSDcVy?)DJAN}~+Sf4p;j@i73pOZ$y>fr_LQ66+{
zs&ahJGDkDR>a*V!A|8b7c#`yx2kn-Ny_@sRz}=qdvg4o>jH{l{%Dv-3Pk_7q)<sjS
zsLDHE9V3Z6)|F~|!(|8>FJ5rlXbKP3q3iX@1X$LqurJmv!^8&xp7`f1WTZdN=&6-J
zYM+-ePb4o?{GPoqWwAg%FvO?MFM(fU(^uT=`4A9sH|x=56HHH@oXLq2hqSl*sRA2*
z)Q2yNb5S+{SCNXh>4X?U+#MswLY8CJ>)e$;*~SR0(;ygVi=mC$xtm(F0*4sJb@P(O
zIAm?9G+rPI%fA!u;`0KK(m%yqpT)%Yvg%ub=AsZ5Hft5wEQA~XZVs;Jcww!BZNOzg
zQ50JIE>-+341YD#IMs^`Q0LbkC-aFyHD{|!cbO=>UnO}yXE2~toWCcKCJNH`ui*+N
z;$Xkcdz15wj?h-w2(36#Bs>0~b?8Xo1y6ea{ZKmePEHKvOpC((eaFx{0|MNm5=cjQ
z>8SR}ljAuphE`$aZx#-c*fCR3Yk0*7l|R-y9MtB#_w+g1-zX{M5R+4>K1Qfp%YD15
zL>#xc677vDh@3gGXTE)f5m>TD8RvC5-nnwdkLRB>*0hHn%Wg7+N>h2v_U95vmfE%c
zNT@8PmrFMYCK`fpWoMq(K>{2+sI<F-a)?{@>S2qEAtut#Y&dHtiSClS#;0QyV6Ed}
z9iwW9qwYC1rD{?j{doJMj;w_5R(Hkw{~F-CESc3LNyILv+@A8U$`EuHit8CNz*LI4
zgtxpj?kyzuF+)|6HvOEnzS{tQs{8q`GG!p?fAH|@U=mV)YTrHh#sIqU!nYST$>N*y
zYg_FIHT-v%W)<+s06Z_k)4ZzW@S*od!}>TfB<{LASozNYxeMWkGsF~dv#?HroTZKm
z;pY{rX@(f}3FWd)P(+W`!GxSU8W^*k-SIEN5C=#094!)3Mk{?<eAS>Prk>7cl;1JL
zQl{t~pK=xWZ1wW_CZq-0t>dfGm5e|;?a6exq6#-xzkB&~Dw^9Lcz?|?!pzy^sF+j|
z?(7aN+~mXI<Qd1qmpI-TP4D8}$LWqXH?@Jxt=gyy>`9A#Nr#$i@i`YSGOXKr&Eg|<
zFd53b;#e93Dj|QyLoC#Bxcr1@t(Pv^P6uyI3}fPGVg0|W>KX`eIUs5-r-yc9nu&|M
zF*>JKKP}<cM8rUbURAXolHGSLeRDIxUf#+a`wyC6|93p-sjNQwWk-behp@0w#chuX
zXAX~#kL7E&)<=g%7WeN1rVuPE9BSX71>&iFsS7&#__g^mW77pQ<Zr!6v*D%U3g5Sd
z<PJUPT{Zgfw#^*<&#lX+j#5DyGn{>?rH3KKPvLprEHM5pVs+dU6~|p4G>WlwVe)$C
z_Y-_<?3H|LpkhFS>giz5Tu#5_#iWQe@dC2He^$;q(GY4DuRC#y295f1MlYu$iau<T
zm$IZmKW?4SfzMiaTBCPb>;q?A_^R<Mei}a7`xWSjbGm{5yf2@j6`qkbCz~%)@%-)4
zvj<f;9kB7Krc$&O#@{$^Xj7qL3qjVRL6wZMYQ}6@ffe-lx2~Jpr3KfLjTioKJW>?i
z$%?G9LRc4Zk2B~0+)jbUj`hlDRR8UideaL2=2?jsTQqTcA*s@*g3}kzmtXcNwL;=m
zSE|ob4XByyuq!i{!5+R;?ng(gFvCR}|9W2?jxo3LH!Da%hxaW(z{?5_)%47-<z#df
z@0sp&m%w$4)ZyK7R*0lbTrWDIhR*7!D8t7hII_?4l+PQ$L2YowP!tJvPt`pgiv=*h
zYVq2uqd-alzl+d1RqP98HC1c#Lu8lzwr-Ap`StHFW~M8n*?i@*X8&bqmHe_^{Rta!
zaeGb&CoAHX>VKCf$lMrAl9uR~V<T#bVdt79k0HW=lLBM^*j90Z%ak@-Li~9HS+GeK
zTzR#^^#}g453M;ZbidXDW|f5@Dq=DaYQGVyIkLchK?vKRzT5(L*WFu7J;1r|-Of@r
z{0r>J-kF+>zUG*1_Wm;?CI$5;8+V?1_?!LuOV^C`H8bR18{C`ILV#d_d0{m70=qTc
z`MCEoGpwnI)w*6F0cCT;t^2AL*sDc4KQ9KF!u(cKO<1NlrnQ_y*EarP?_B<P_mO)n
z<Z<n~ZR{_GhijLf*QqSBi6tldB~(~geZb`Wzcvx*>~y=R*7A>C`B!mSTapRZi-c)m
zuP_{~+s!;YxKMMPcB^UH7%TNv)OZ7haJ%ax(=Cu2{{sL3|Njh^cRbZ!7{~2B@3mLv
zz1O~jYv1o<Qz22AzeJ&}NKtkv87WdmDk7s&L`k|w$|$6aWK=RTQ;|J>{yndA&g;CM
zbI$woemJj|zT@^W0LQvJtb0!L!Fma)tS*`jI?fCS6n4<zw7BaVpEtaal~(@6qJ|wT
z`K-N4w$UN<<+hqob6&`8|ITkHzzJ`{udpgL>4R!hz#M6c2XKGerpkl4AgSnQxs1I&
zEJkh2ZF|iFQWyS}c>Lvtxp)um2W@&VlJ_!jqmBo#4j+|03A~^{D4P7`rU(D=4!M+%
z^T1`lFE1I!{2-)T`-FXr2Ge6COEp7Y;Lcjk<l+_t_Txarouk2=_Kkr<4>s3px<8!z
zBLuWvRcNa?4ODJe5Pw?pLB^57wB|?=U}vDApA}R%c--}o0|!53<|jGt%n*f|*}HDK
zZd7=RIva9-@<W?`6iuKG2O@3M@nAM8OjmszR{1ReH5QgDkt||hqv=PHte}9qUz+e?
z1tHMPK6k}rw>WT^(eo1zQ6Payb}<hY28~|Y+m3n(5N4OJ-K|c6&})4gU8hB0-$OpX
z_N`KIT>1J@{BJUZwocK5wu(aO`;OQ5rldhE-61oCNe2I6$2mDF4s@>O``s>)g>iG6
zC$=}qFxLO`PKGWX0_syAbYGAMZMhdFr_Yk%mAc!j97{2<^VPwLMs0z`z5c3#hsZ$a
zgP@6H;;<v;_=wAUMHuha$k01L2G5nMZjEvYU>FtWQ%03Q^^hNr$uTnU9lzH$At(im
zbpyX5VHKzx@DfaoC&OfbRLR9yX?XCe)49n;6;fQ)9O}!+uyf2iOh!Z&9;6<6C3IO0
zj974gqbAAl@qvBX-YPk0m<+pY^O*oa#jOSBO(;NBV9>Kd6kskaAlhG(1c7IR<Zj%h
z0IhwB@<LS+^j6>PJ07bJjkkiOPHv%s%-%2cN2QgZtE&3)_Rkv7^USdSK@}Bj#M>`V
zODKb4iM3sgiWWRx<TA((q=8cyXR?W`3N(bt?qm39LrIZwuNqwsvP0^=yirkw?2DN>
zs^@jU)AU_r_7;68`e*vaMOzIHm*+1PU(kiXWmI}jl@7xtwp1QH0!#`Vz9+9uhN%7f
z@~tfmU}o_)n>&pN!yl6LPHfiQRpr*YNthuxZg4(RB9K7yY4zN(A~GDIpNY18Z3OON
zCxFSN4k3ijbL7o>-Mu2M`Ay0Mj1f<t*#~u4-&<+(Jdq3=Lj8a6p{6iXaLe#!m<Hf0
zUq0DyLI$=+d7scnGx+Xk{+W|S69ykI(aOVhK{{zWZCDwD#O~~?F5a5pH`8N#Q%wgX
ziz38C$N(8`j?Wp%n!xd9zH3*c76^Wn{j7-q_)|()o0BwQM*W8mU#bRJdE;M{nwf*&
zoDADpkIj8X{URd{lHe8iaT^zy!?tv?Y|^|2aLj9sOUV(yWn#cFZq6L&{`!OCz8diN
zPkK<+3l#{SKHlV^VF68V^*!bD)gdylw!3tX5-9VQuQ6>bpfl*{Hqn<P5CCy2RbB<q
z^y)g?u+;*#hA4HQ3L?0CIb~;dM;b&t62I*?v;ga#t^f6;5+Eu--h3%h9PSBKmh0mz
z;67K}Wfu=MplPsYH};Fd8LnteYM(hYDfOl)NvgtpeQ;^Ep&$(W0M(Nj=J0R*Q{3lP
zWe_=j$D5eL4gInW$@4bmAnE(qFXX%uw5Z4#ix0AazH_Hx><qw%vwB^Ipa?sKV*D2u
z*RZ#xAwe<M0OW7%GF9eRfSbHXSMcQmwkN~&!#V|k>_1_u@K_d}@89XHJ^U9FK7U)-
z`Zfl3t9Ks_hDd|$ndlZs`GrXeFHW8K!T?#N$@#tBl924Om@pGEj=AE_%bpcuz%MV~
zIGrQnz!|R7rJy;A)!s7-_~2{?u{=ADROaDf{D#BE>jT5s6a8oT$FG@!{k7uyeXKZm
zdjFC@=HL*<S$gC**Jl$L$;F-Qz9<4i#~vp2`VC{(q+LcfwwOSQ3PqWANC+<L%V_U<
zF@kN);nmGJY78bT`(?s~1;8Y^HdU(TC-w&Cl{d^Z0;RD<R*uz8t~Qsr|FE3EHrfqj
ze@hs_kxcS|X-yuGX`bEdZ#0b&?8<MKoiqf!QSBauY%cgO-C(<w<!_9)uG=2hVE{uh
zlay1|oDiihSN>k`FJ^PNGlbpH0FIrN^B5#>fVsK#SmXRGc1A8X`{-Rd1k!~XqfOXh
z&91EW`SL%E7NKipDols3oqHO~qS#>A?QG&F$wll9+bv7)7=0jI5WFYxn-%sr&pOvQ
zEMqgI=+wFeJ<!mRxLTgT3Xy;Hvz>3PVyepQ9o{GP;B_U@rq7;rvu?D)b37Z^Lv*xV
z;|~qaH^i)4>##yLz9@yQnFUfdPQ6nLp@D!?SPYjwE8Hv=fB8az4c^t*5A9f?LNJ$8
zO^O#QuvADUMqgwHiJ_ir74cNaIH|GgVLmHNDjFm`=j4RlpTE&PC8%)Wbk@B@UN%tP
zGqAyz!v$JwyWe`2P{6eDHoY{N4Se@~O!&`%2aY9--*30r%omdu;*c&ocr3bZ?Udt#
zV|kw&2EJ`_dkTNZ`!_p$dl%FDMo<9g@8g;u$B==YN18YN0|#`rTjbTM2*E5wr^S-U
zaK<X)m}46!w34`%7!(mu)7Iys7VAR(?D?Cy(_Ap|fjwu*Uldf%#t2>$(1k*~6KY>|
zc%VrRYm~0ULG}Dn%b&A4Fv?%SQJTgJWF6;kFXY95?4u@Uv#1TvO`aqU$@9ZWHHi+k
zd~q<yCTf?*YQt8Wr0aJ-2*AF~J$=%)l3)-_4o#8MhFS+R6TMO)h^};I-69|jw+6Z#
zf*Q48;!9+6qPqzEy6F@pH75fZ>2?I_1uc*ou^OBU5ru}Xj-jtC@^E;?p1!(A3t|WA
zEOm-;K)}7LVAb0KUTg)%4i;MA$FWD^>H;1d*GM8e8x^6i-nEI%Rttp4zuXV)6Nebv
zHq{~?WtchK>g#h*3xp?ge@^_AfOfOF`fuJUaPig&U9pE+ASyT}j8Bq+pc6pZ)}RWS
zd(S^GkkE#q<y%6Tjxul}dbl(J2yjcZ!Def*HaHSXQ<`<<VDLw!rQ16q#7o-nsT|gU
zYl&;Q`*amx%0c3{mybHcezoW7_R)ot=Uhg~1VwnS)-^S~rUATFdR1?1$-uuf;d0bM
z363@XlK7IN1!C;{c-eI_Jha{T_2rN<^!3|YQ}lJftEX=AeisFp9jA2+Z>hkU4EJ3c
zwYp#}YhFoer^2lhw9c?@Rp2;JY`&OI2KP(4{TaV#FfotqxQ`>i?%dX0PxL9^&^9mL
zN!EueR_$_a+li1)2y@MRK>-`>xEiPHbchZdbz6-j0sckQaW7daTwRf8Jd!em?=77%
zPI>BJL>wV2@1TNzT{<DU(g@sCjQ+@$X@KP)+t1IPsSuky%aq=40y6vyHk4bMpkp(s
z;3z|dKe?~ja%Ifmj%`A>>3%Js$&3=Hg%sE(;nTRil>yV$=4m#oTEJ(k9(-wz3~6s$
zC@BU2C5g|xu>Z7SS%2{UTW&H`XF7ClUjo?hoR_?IUK`9lgx+}iUK?IV`W`>GnO}VZ
zxlnLedy_Zk#V2(&f#xKho=LZW)tB?a#yD*VI;BjjaUp@i?)tEpA`9@hn(WLB(*pV-
zO{F1cHE6mfDe!L50!XKvwk8y4f@P!p*#&E5_+T{LJ4~>I_%VhMdyWPuZ%>>OOIHBK
z_LPr2dX~UbWD-%oUmc!``>pzoOMzHIAvU3G3F>Bw-Bmm!P?-rX@hro`GvZ{S^MVD4
zRerSdzDj`5h>EWYYl6@vpIKT^X#soM5^M~3)IjQ}xbuZ(PVh-MrFhoY0(Sr95Vs3e
z0iJ)tT-G<&u;eFmzYN(dV1~>6OVyAPWGvqroL~Nfd561nci%LJSYgu}se2Sbb~g1F
zi^d?vU3IMPnYuYB@!Ak}mdS${L$;wnv;uQkc*mXd48VHgj=ttc83=XDuCIIkk(m@$
zR#IRE;6vnX3ze0E8LQzfW1@r1C0h30_InsyTHSTB`<ghs_9#>=s2OGEn3=Av)-zy6
zt6qcG7!M3Km5-MlCz$Ta?Q>RRX7GIe2h9*C3RFgS9<SaMQ>jj5JsxKU**j!P;^{)b
zzhIVrt!av>>0x25XK4zDY<iYOiugc%`rN@Co>R<_b%M-^a1;1(tCC=MiW_iohm#-b
zOftPg)=G7r8^c9~l5pot4xs9Je{c;OXR1=^#~G_eAZEGvDo2P7ipXmICjx#lErvRk
zeQb=Nj@X~=o4bKsb-SX=DL2COy5AJHEyED3f1LIIT)cw)7!Hp&F8{%-FWmpAYSI8^
z*T+pfX^YrF6MXtz#&_n3{9OSL8v{6P_*{lV_aC;yF8<Y>JAKTk>VS)X3+V9b#4nxW
zSN~#<u9#%k4|Ov)sE!F1d~~?}twwOf={GjTS@g5O^%K)lG|vndtPeY%1jG)aDNHBD
zjf-XBJ#+kuguCu{Js1-EQQs3hjs@D?FB5oP&wRY`_wEsAJ=hjoNZ~IU#j5eoB;R~_
z#?)@9_q^LcgBl4}-ZPHFSk}aujU0<S=EB#Yhea3-B2>C|R=NMcs#fd;95vH0h}tf^
z?<E!DD@x;j)PBcqzK`|$&RUMG&p0)eno^<dt^h$~@GG{eRHP?+`xQndUx_$^C_sEf
zJ}&yPACq}j6Jg==7F+G#-FeBD0;RUo4xFZaSkH;sjei#Ju>(IQ)y6)OLBC7w#Zj?d
z>{@dDHIeh}*iAl?W$<1y%(xov{qFb$OZ&N8xXq^nv)a*{Ncye|GlZm5p9gy|b=gp>
z3Pv}!rEjGF2)8a2*em1X-}Yb+#v}_yh+i;2{7&&CJstSAPdfPVY!AlcesnZbwIA!H
z9%%6i(1yPaF;SNSzF=F@N5zZGzF|stisBk?Yr)wx&$<-(UM%Ioq8>kE5UU^L$<H0o
z1pk8XwWslYn8c&-z1Qb{VBEQkm<B~nXl!<RDsI=0QTZjiu*PA`oj^RJbWj5lKBVW_
z)C^!eNtP}`HKQ2gyc1`7l{z@7OdcOS`VG5q{Lgv2t}*O%a_RyHuR2_4>r49a_&b(0
zsQ>Pg>?9WLX<X{<Ljup4yuIx$gV=u$Os!hdrZL`uh25855}~eosq(785Z2;I6|+$O
zjeRk2Iub5VgqvNz%uk-&yx$%Tnrqe{OvximSSgMG?oOUx>8ztza(vF05&c<A^{8d(
zscAKMeUaR(^ztXBk^1MN)Y2T*%kil&#7hls+WKWI7LH@YM+QMB#^$m7(`T&|+f_kW
z^H~pn!z9-F`&{P;&k{x(xmq4$rwYc2(NUoA3+u^WG8@~wg4J+NyOq3E0mY%TkYtbF
zSf59KQt0d&ws6xYsM1yif+Pz&4>bM3EH?BHiydHr^i;*U<~C)hToK<;@S4SBr3KF2
z`Ns+>w!tj&p33l%-}Yac^grzVvZ9-J89RKsB3v~$r34Y9&NG6X3mETdw}popoIo?8
zyei%Fc!RZ;VF#5ZOd;j-3E#)u@VdDxwNhCL3@_|0$p~A){wmfbF<JTG)1!)e`I}zw
zE9c3{XM*e4nqZ9mg;W99(+bZtLlmJ!RzQzGm<5Vu)L+f|3ImIijjyh{BCsSqIy1n*
z1}fzpnWLB}Jf6@xefh%{kh{wntBKfw8<BAu3plv`*D>y*?-tl6^Jyosm=pLC@L5WI
zVo?4o@L7(~7SKppq5k)V8<x3V+I^jo0PT|n{>`5iz&I{H{ka4m3~Y%h%`lRNpV`j#
z<F6GU_VAbJ&;kL-2xJ(gzLW+0?WUfAE(Q3+s>??V6^3w9ZQk0sO}`NSqfjfk1)|r5
z_HVZp1^HSJ^#G<Kn1=86<h;5C<fB>re3o&bjW4mS^i_s!FIWDJt0@BMcCf?N&tk9^
z@x`xHT@|it?lurAQ3Q^y*-hi$C1C7w$Im`70vI>s1WkJ?!F)^6e803ba8}Pg?NK2?
zfrK<Y$5I(GrA(c+pWi&6S>w4DR}J9YHBH=hNCgfDUb#`AqyV@2u5MY)*Mhj3z&LvE
zW*>evAWA7r5pJx3E17?@pDnpr9Gpu4v;Gu;$YmwCvX_L5M`W<B4JRbOCV@kqt=Nt<
z71;Sb@T>MJ1*DH^tM@r;LJZ{+=@F<w&qs^G=ejhA-(oX=VYdz(s4T1DTPMK37ws3m
zIO&10o7INs)TT#qYlr=KLxQy*qs|SE`cTzm9=SM0g#^=wu4j@q|1slYT8tbWzUA`%
zb<@&^L3s>4w%3C0&L@sH?$cpjsEn0y&j7wTxfUtSXv4(flO+GIbU39V-t1#<46c|_
z&(Wj0@U<-Q-pXS-IJc@g-Q+Waz|f92>+WQbyJOYthNr{KLET*Tj~JNoYXl2?A;Tx$
zEqOf~dT=xUEn60t!++B+1vRuNuvG2(mlQ^W&raix&m%1$e0}_ar~?H?TBGsyi4<^E
zxt|}DZVAI<8g?ZH6e#rBU!<L(0~h>ENy(?IVB~u%C1ZjN3tIlNSBunP@Wcb<d}(W7
zaLMQ%4<LgQ?I>wmk}AwmFTWL!u!hHW9BK{+bis<@C-i1r0h)Gu8Q9;o2Dt|BGg5`x
z@IlGL_)?HKgcnN9u_al<+i&FuwDUCKp5WlE^;ljo@p)>fV`B|vm*nw^N7O-EM<5{o
z)*R+dW;^ZGYXwrVVjUS0L}-aCPpoq3WX7xcHo3c4LGR5c`K#rsP=@(`TEZ<ekG3?^
z@imrE{BiWujUCE>YZWP}a^XaAgUmZ)(w0!zIlI8WxCPiRzTn_0<VVHPjo<c%T7bLr
zScp!fEM#hk($A@ipo7Kzo>pDvz_Ps{@140M+_TH{{ZTK9I-EJu9vGQ}St8d8eLEgr
zTzq*zx(kQ4)yg@97XXBfbNAR=3&SV-e9sGK@Mvq*#=$gc0E5Ic1+B?E@aBFwX7mn^
z+;;CP-=~Gag6m|VR}dSpx>>Zh4&u>oZq-pbodIkxy|ce<3FDSyAI<%QM<GKv<w_?r
z;PcwrT3<4Qak^W@FdpF1#_g^8rKe2+xB6VGE2<Bp798qW4aXxEJ<^q~2PQzGa~w8}
zDrc^CuUen5!=sxUtqLpC#t`C=uQ6KjojGX5a(zh_k0|ZG#nz3CVaK}ZKuPvA6OFuP
z(^$cw(f^3H!&i*p`b=ZZa@HI(<IOfqdjf}?-e9u5zYHNY^-J~W=Ov~oGb>GO3WvlV
zCCO2D8-mdf+4Y6Yb*4+>?GMuIcyv6RSmXP4^ZoN4x6KV_MTL(xS~|&ibVIPkfZfyp
z#9|zSbRyYN)-{to{-Jo}pX~12R80qecFxD!d^nMztkIUNPCPPPq+W?((BTAo(Zmpm
z8_CGUs<CbtLlPSq%i{0!q3`X?F_UjRsH;%4nR7r4xy%qMV!iZ1&i)!>A%PE-4tpM3
zz9^1lkG&K9@=p&E$?Ih#T><n${&|Fog9N&E_GGnLh910pur<WJQxJXYZLqJ^l0<u2
zci_g%^nfR7&G<&7Fbb9Rwq7Slp`+ciy2{fu$bGCz!ZJnBt&doXxT!Siwiy?)zefWy
zqji^3xG3r+isccH$RMM~Yxq__8vGNi4Da*9A&i0PT0N6R$;Hx7saiDfeZrDRa>FB;
z-N%o3%gdv`jpvB?bt))2?)-b*O$^x$Sa})dDxlQ+R8IL`D##tU-xTXFj>NK0g*=o~
zL<dG{vc>ACkY(UTm5-A^BlU9Y%kzrJxBkP&jtVO5s*Zl)T_%Yv`*`~g3@9O9MyG@Q
z=J+4hm*Ff^QYduC{Yjn=%E<rP`Segkg~rkTiL*vBXwnOr6}?kI;w?PrNIw;9y|0@8
zyCI7X?hfL(-KL7xr#AN4^3dQZ?vy{3TOOGNzt3vvQA0^29Z5B78jMwGW+lWcpvJPC
zt1+Vlbmx_qqkK9IidBO%0{9fs?)=+w$L5G=Kl_t+)Oi~04qp4M*rSNv$y=bbbrSj=
zvleS{L=Vo3l%F#xRYDqxNsmogG*Et&bj7cEJvetiEKem?841o&23BS@P%DvZYkY=2
zNIBJ{fAdg5>k0Cr)g7A1)#jP^_*Oc2wFb=b(o|7oQ2N7`n_37TsQm9R-T-<!)S}wC
z)etLgiL7I)jdY@tEUSMRfHmjHw#6<r6d>tb@vKT4Y47T`d(mqMQ616Z<Cz3h@qOc7
zB&!Z0GqaQ9I*s7?_fuWSiHMXAhIn8SIw;{QLDR9v82-E!IubNXM9ZY!6J0afsP~c-
zL=Tz(aVE@sFq(u8aT)J=c3B(km();fnlOc;2gjZ&&yi3Oxw$rAL<`kNRd;UtWd>aX
znUgv8>PTnsp-dZ#7E<Ek`a3zofV-Tx1FR#}(SY3!wt(*%D5adW`1*Sc_G6ay?N`*%
zR7v#;TvkV+DK;T(+c$X?_Or16oH{b>_&v?!BB2b0^!Ur09Q(zYV<~8@j$)op#;f}f
z(0#$UuR^~7icBf5WX4J8oMxRbXPzqZkgc;8R5OP;|HKC^he*gi?;_K;M;Y-A{0{hO
zZw^x4d%g~}5YY}BfgovNB@|J2DC?n@Ib`nM`f?6OM6X^1+8N|2Aa_%iXyO0N;jFKn
zKHZ#vF8Mz8?sSqxZn6%c=1%62;;2L3>ZOL_CfV*Ep-Uk*4Uzd?iaC^Kij;92R7Gc}
ziX;y16Gwc+-lOH*=5YVmpacDg3bHzxdfBK4hfH(L9=-SkAQMWcjX0!?R)iWDw{t~M
zvhBdya5_NtlY>dhfl9~+FZ^TIAwg6w%PisD0T91FV!Iruh_VE8FO<>v5Q~n_v(KCW
zF>VRh%f2h1per~d@2lLXTO4;a<2VL+T8_EgZ1PCC_U+#{XE;&T*K<WKZ47Xjla35G
zmPJof^24eI*wKPxaU7=x1IDHI%0?wiqaBwm`CKa4&{AwN!~eV)7`{G-veqP#i)!!n
z`YBeVKrh<g{nZqnMi-8qO_D&8tI4Iz2v+oWZM^lMu_<^~|NJg#B97Wq{yR9~!HRy)
zCcm1yVFITe)l`~!#gP1!|NI0tx$Dll+evEC7~;gM`i?B((EE#yZz!Kw(e{$lNe-UI
zP=D!Qd?XhR*)QsaR(P_Zuk)F_Gj&E#^ZeZcnI?*cZ$z0>MA*??WA{POGJ;ckZ-<?a
z5J7pK&5bb=?1;d+-}rQvA)Ks9d{xmTj2cVd({n~S(5L>@s2Tx7aJ`;p#n~!^kj(qr
zk*r+k*veWQInDsKs7?pwa0($xKp+lpv}wij7IpvD=%72clBgaeh$^2r{1HpyK}|;a
zf7B!Bkp49(If_pZDb15lEG+RNy5nutX_ifIT4wLL^GN`Oa(ldMjpaux2YDlW6ZB!<
zD-YJ@1_4wt+U}}P6hv(-l*%U(`j9QbdOmnW09hzmUN#>SLbz+cV|j}8;FrZ&HXm(4
z6ze(C|I|+eX$Rh!$p$?LDftnaeoGKpu}AZn`iUYLseKj212o{dW|iZuFNB_`41ahT
zj6;#34!6UiY4F<Q+k1yOA*4BIXtXB-k18^sE9_OLL78KFuyL<2x~n?&$+Sfb{e9}+
z`J#sk6%O2TIl&^RdhchkA_)m}kJWeAYRV>W=?(qw1VvG{r`YFDp^_+daK}deb}9_l
z^Pifi5k;?(@NSdSQs{yC{UIwH6%KH&{^uNtLsz=b?ck1(LBu@Un)vS&uy(gO>%R++
z=BxKy5L1&w71HHx#OD;S+xNCB%Ulc@Cl5fws63j?H>q6DqyTPwT-4W69QjtUNJhQh
zg7z1ksauJsz|Tw~L)}vXiE<w%%l0dxC;M*=sz*~ma6P<XTY@CwxpDpUgCQjp&+NGW
zXmh^5%QIuHHYp_CPuQ_@K^aBQMo2YhQ(%`@&uxEo8Dyf75V#?(iWCb`eH)^{)?-9r
z<7`=^BakMb!caru2C5l^1q!5bB}OhN%cCKIM@Fef2`D7?`BMNYgtcWnyU$cW5jD%R
zes_r|Vd+oN<y%xZq%Y|^VxWi?mG)ek>LMYJ(tiqjMQEUU{^W~WQc7rBU4(Wzmj)V<
zh)w;SNrR<!ebEFKWmN3)*6owFCQ5G~4AwExgV|Jfy*Ja!sH*G^8_8M=IaeNAxHqQ<
z_-<+S-vcV>bo^|urnNTW@F-<>YtRR`n9CCCo4MFqefUGEnhq)nWT9u5(LtxA^ekJA
z8an37m>V0=L2qTFYR4ZL!1UpW;mdajD6aos#Gn1TNPMx=>vf$WydJr@+dZ6!EI-_-
zmM+&td$ocjlZTC<)|uO@(2|6#t&Pf3Yju%`8Q*X!&ICR@V(U1uKtkZ!eT_Rt7rps`
zo^4p0f@V&se`TsVs<LF4^j_3K9QFJD$e%HT>-f=$yL=jGZ^va1LuDNlLiYLZ;#~$r
zeB~M*^3gy`dL7hrEZXSA*W&&wFEIEY0096043~F2)omDu?d{k*d!J(*$DY62s8rHR
zW-?OIkWsQp(xfP5mX=XTw3Mjdoixmb5Gff+_Es`p|33db&*%O;_xJi<9>=Cjey34U
z=uGg1xNI7J(n{RW<qaU1N_AAZL`Cznkq>`PX`+d9)QtFhfQ{O*@61D}nC}**zePp^
zmAK8%$?I4{q>ZR5U5<*n{i8)m@@m-Q)zr})WerM220#37YGQ-US+_G36>R(!`d;at
zHDuj8H*<nn6LZ&76N}~*G4WNJMt+kun5CcBjkeIhfe+5~%un)|=6{1S&~6P4Es1;B
zJ=O8+aNf<+KV<Nt+e==@W@`{RNO8QnT@91Q+U^+XNTS5efXV6y*3kQX##el^DsuJe
z*&S{W#eeVg@?%a~19@W9(Sfdlg@sA6uWE#F|M&kkFFRTTtAb+DG_Nu)P90ybqffz5
z|FEhWUTcuPEB18TPelyze>uT^gBy2J6e5%nz-yuFh22X96dBa#kZ5AZPb({hcEJFS
zOx;&*te3~iW05;0?y%s+g~dN?k^rehc4d!(Eb<<iNKv3Mp(V$?-4pQyL^Wt1dM6@-
zsUCk;0umR=yAtk|AKqC(#dMs|X%#6n3GZK+DE~{==?4u}2wTCJmgIINHwkoEj#LYJ
zGf$ou*%4*zZ3%7mZ+nvNh+%m8^eo5qIdV9RgPL^P0tye(`^uC=@u<!{lLX~CGNjI@
zCH#*$R9P!ckGv4Z?TeyexAf;o=RT2&yBp2n{_IEX-UJ~W+Aj3&@v}KneO~3+rE6x;
zq#Tk@?hwSF@W($*3g^iXQL16&f+^fF`?*xvNI@+dfiK*Bf5>b5&aY4KFa?ormmhb;
z`LVB8<F#Pm0@<8(jq}Yj6Of|bHMGj-MOw<C-z@5jB&#29y|<zXT(4dC#?p@mkDDI3
zBqg&<Qo`1EZ%#Fa(wg46P)}}*xn6AFFUN${-ycck{WF5i{qqMZPH>@g@9h^=Ynk!v
z_UXV4Ax7|%_XdyTPfolO-)*39lm*8W&%g5iWeCe--YXqpoEV*OEU5DXD{2klt?r$M
zpxN>4%W*0v4(vB*aWQ1azZPoNo&5&Tl@+W$#m9-~%zyPHmvP__<A%TYJ_E4Vc^$f5
zf)j0*;vTdE7e?8p$0p3^LlHA=ip8E2h4$J-C=PSu?rOF~&tv)^^55su`74|l_V$op
zS~)MiV$=R5B%u#-E<6g3l3bXwSN%j@20v0?m(;eDG2mZl(?C)M7rt6VHI^&^w6@sG
z*}9nli<VyLyP~*p)2YHAU%v}tXV>YUZj*YDo^-8T(1!<|FAo=nunS|lKz(d+t{$*1
z?cXpF$ct>dQh#-W2p(n^DOBF52Q2)vaSt>3@aKaU_FWf5@rlAdep4nr_#AxvfWt69
z&KK?qm0A+R+6u0td!Ezb6}zj%?*IX83@+5SKPrL$ZR0&`pG1d-I`h%P#|6>LMQ$&T
zq7-ID6E!Ed(4knUPa`Zy2t932-|zn>jciJ1j!mf2A^AbzqQzceOjw%UuT{AQ&BS6?
z_Hod`ZifbIWt<4A&Lz!FJd{JBDZVkLeqBgtFYT!<7DbhdB}E~D3V7_Et4&plE-={k
zuQePN!v>FuGXlpI(bPqr^Y(XLxZQ1M^JcvSroB#<x%fZ{<F$3nzOmB5IiM_!=Y=H7
z^%rZ}k1J#J{VW+VO*+Ih#jCqJN@MEShRI*1s@N<e9be@~2Zsx)ZFm02;3CYI9!Xcj
zx@Cq|$z3{B^~wgHua?ERt+fm5Ce%?(b@z$)6g~JaY3>|Ljy%?U+ju(0RTFDtT;@bh
z>%mT~eKff@3YgITsL`m3ibG*9FF43DKs(ngqNz?1X$m*e+-0<Ip-$(ycoPF=7To`P
z(yD|V%@xZ#g0)fS;xOy|9DUfT!KmE(OBo-kwKyl1=wPu?pmY5(18DobZ~4tX70kc-
z`)1ZVUCj4rsos!c2y!FOF8-ycVfgw3$>2@LmTbi(p)w<2^yp=Vu2ILdF$=9H&*(_!
zx-|QG#2CWc7{>?YH1JGU=L|VV$30bY%a_0u7=EGOjtOd_)EkS$*SvbTqh+N}zR(QV
zc5#@^4Qb*e=VvaqSvo$hkH`!Xv4A5DB^IxWsmOdrr<$jXj&0)!`C`W`A;00*&orQ6
z^wlsM6B9ay1uf2G4_SdvHx3*vqhVXd<#{V5U6ed&TRJKa5O?XHV&OOqU72(D9gWt;
zr((|Td#V8{$=z)ZOEjEQD>y+pO2hH-2A4JKtl`99W$vyv8cK)pUf{IXL`M(z+q6n+
z_-tk+S`<S=mz`ftnt!O_)XmNOZ-s3j`rm%1l3^<97_EPm=c|Hi+_wq(I@y5Fi*-jj
zwW#=clS|CV7ey2(Qh5F#+y)-X_1bIOY9c9f?feuehqJ%On5yD!z*6PImahgHSkvQO
z@QX(pjsE`fj|#SdMEhG0rnuB`n?=8wQ>hp(uxwQ=-CzUed13uSZ&cAdRg^+~CWQYi
zyWga(zUM;p9bL-^6?D8qwiZS6;ry4{`NT$R*qk(fk5^6^-<790ryk-!tF|7~rWk8@
zKzJ#1)heRdG3~iPUuHBZ87WCnu!fCN2h#S0Dxi(R#j)_63*@Y9?E<mNDepKYW}Z!Q
z_~&=yc;WqNvXiK9cHF)?&u#9dIv-@PF5YX`%Hjywrh1rbc7y;0`EDok2q~Nv+DiHw
z|0EM*YiHdQ2%t`RPQ_cV?*9%mhtPf9q^a97d$)@f$SI!}cx@nt<>GC$i)LR)_J5z{
zg;Fg+_@N~2l9LGP3PsqQG5bu$pWkIY|HcArJb4WLvW1X+tvqeM?GxE|ahH@OhXuI%
z{c^4162!|vF)KD{Eu@-v`QrLj9;I&dIihIGkG^LOou1CNlKjkN_cvyk0jAe@W!Lav
zk3ja*r}sKY-6c6C*B(=dNlTbzN##QOeZlJfA>T<U9SJW#15<cw#vLr3$AO2uqC94n
zddO{7mHXXOO`zjwv8eAb8;X~GaUT-?Nq+qIs9N^7G5Cc?l-owJ;#yn3w@SMQN#ggX
zu#Any!2NM5X^SNbCU`Wos|^m5JvFW_+2uySw!3kyi4il_<i0DZ%oryxX=|48%NPNB
zdW!$74-;x63aMn>pClDEj6&N_8$x@AynJ5Z3Yisncy{ldX;Ss-$L6j@19-F5^EK(e
zOmex3GpZlWl5N$)MO@(qP|Ku!$@%sYxo*Ph^2*0~^07~D$%b)#2q?IdNHJO>HyFB)
z9cNo0z5mNReIZyMlE%Kg4rN;+nUn6G^VzaUs%!T0bWSp0)a$j%6Tv024<_5qE0)Rr
z$;<0yq8Xt6;yrhl`x5Cl7Zh8T&xFy-Cr4b_7{H&q?cn+LCGvi7<Ad56X4ILye&t+-
z9=zw*(J()^On$y|D)p}~E6!Dj#=KY41B-N?hQXK>a(+dJQ0iktFH6Ta8ZYQD_zhQz
z9hork#Puf|j&fj#4)OB7Cmp8V-%sdUU_!;aSCsEta-r_y1Q(HMT`=%kX}(&+jAB8_
z@*iY)@G|GqfA`IGL8yr*`g#!y_8#C6b(QBs!QIh4g=ckuh1ym;SImm9Ws>bw9VnP3
z7P%w%w>B8gJ#n9X%Z8)O#>?7U1+lwu(@^miZHVN{NHOK&z^(ERBvf*QQ1I>c_ku6A
zKzMq$$IX45D604UoBo0@>K+a3K4+x`zjkFFcbVkE>g18)vM5nhi$3+yu#N_ewh8-7
z^LenQZpYU-adD)i=Vv<l(_n91%r*PNe0buV!Lgur2{gT}bjg>O2J`^=ftg4O7C$*T
zxVKsg=f1)_!#7kw={rtsE`nJ5Jb*{*oeZ)Uy)PWQNQLv6796in2%$y}HRsu)EKV2|
zo@0rjLSY(jxL1oXzP>RW(x<I}&(lV|w?t9l)^mxiGz(FDRu!=a4k_XpfvLSp8B`b=
zT6^PBjTnmVOi(FrR>F14nq$yRg_%nc*PQpP_Q?~+H%|~Mn3xgiGpbF4bD;um$~saQ
zw#Cg?d^NYyeB00bs-Quy|H8dNQ5pPuz#+riR~=2N54_wJtOZ*yB^&gvkwt~*l7<m3
zO?0Yo-n8hc4dSNkW%+C6@ru!f*Oy*U@nTI){jnoDP&7e#(!0vX83Ezb=`mWERch(f
zw#t3|m}kBF|0-g%YsDcGLmiaO_wdEHbU1K<V||2)GA8>S_H60b#W5*IJM|hpc&79G
zromAa>`<u=fAWHkwTGk@Jo^}sWo{GD{azK#Mk`bgM(N=Z-AXTBEd%KHdr!@gSI3e~
ziu=w;Fwo~=nqESlA?O~crTgyFz#V-*ubO5sa3M?Zl!UG^+`RLlg73B_?#PKx5AS7Q
z{l(woe|t<IXv4O=s1_=2=_yi7TV&wZp@o0dcg;XW;>x{;KWJFPf7^_=lYvIxQe{1k
zTY&lD^Dg_}YGK;pQn#ar8Mv3=DR=j^0`8GL>LCf*sCvyRD!EY)4cQKB8i@mJDwVtJ
zw4{x3#k*`hf6(#r#J%+;V*t$Z0y{-5b+FsxokK~GE^^o#d7Zm&4T;pxwhbma*u;IR
z`&^k8e)=0!r{`e<>l}GYWXH5IrB~+H?HiidIG3B~`OOCOjr8-+duwCZS8j*qovVG}
z%<r`ombRcu{*JqFMhla#`Oc>aE90Y9*;wT$TR1p%!$B{WhAd^;cWZOy(Uq!-SI*jk
zo>hn2En_P3G?ry5`AA{e+eN!SiMEhwpt=8XodybD_Ids@M+6B?r>vcBwvb`K*4}Hb
zjxI_m^7HL{I9$~g(JgEXBk``s+Ok!#O+M%AY&|Ph5#x``t89R}{=uWlA!WStoc-Ay
z-9Mz#a{S_`s|}p7sVS{BQ^Gwl=B`R#2S^8^CRTgE8mc~}Q>M}tF#AwRxQ5*W^7#QC
z!Zp+y=3W+Lm;I8(6WSs_FBE+xSnB61PR|2uvws#%e3V9tv%?Ms#}M)G&*Us40YFmV
z)mPmC33Q9;nwkikB)Fz;hX`^2biBxHD5Qy@v!|+!K*9{6S0*ogYn6|%n;@?j2xCXm
zrzDGga|EohbWSk0g2fp<UQcI1BsBb=Z#y_o6vuacie2@!g}-rKYxeTt?la5jSL^4A
z<cZAXr4ts=rC=gkm%)V<_tY1TU7aTkW@=?9PtC!p;OdN{0z0;oEY~%}=ZS-&UqX*e
zn8BMPku?(BELgm;o4VvMN7xwqX0p@GpftiGCM|6>-y@`aPi~(jYPJ=uw~H`^6aD&O
z>Lq{4&q>KS438P2wRw@hv&IDc?uaq-xX+Tef5x>)ZkZ;KyvP+OW&%u4w{dtKpClK8
zAGcIHOcC12UwYFI7{mPi>JT%h5%R>BRJZ${lZ2goUn^UK5wM(!`SvMrfD9W=e@Tm*
zAOh_4e4@0C;D}PVzq(NmDZ2P{6MNV=@pj^n((Q|eu;3UF#IdP^<e|^!F_gy$$6Xq`
zwlf)mrQ;RWR_l*s?7DlJ;liT?Q{4e0pHKrhrO16D+NG9kV)mG*ff2%yjJuK8uMY_m
z@m;3eWn>AZjhw$XOlYx8e$3sj58F5Gx+i!skC4>6wW8}iOsxBK%;D6RRiA3r3=`z6
zBFc`n(&RS{6X})jwrF@TfGxjo>_NdBf-$(!^1rBIqAHl(*88g-u$A}Pd}e!3sK{8f
zd-e|#ZC7&E@%igP!JGCiVu3BhJ;nMe&a@Gt+MfH{nh`qem$JEVSfrf@*{}R0HfofZ
zE6^>8il)QJPwtie>`r1&s(0V|>tjTSoXlok9y+*h>GLHxzY|KA?@d^<PY}^a#w4%u
zj*_(IdwRtWB7l1XW4v>MIHj>QS8A^gjD324SR|;I*zuNWP1~nQ;^)VY?oTgkLr{oN
zN;<WlNEq<!h#8wA+>roIK(W8ExUNkLvb#&9HU9i0+yb6Ge5pG_gl<jdC>PU$7)_g>
z^_{<n`yu&Wv)Qx6v<*{s?=~8Y>P_%${qmc57F!$8q%}`?J!7!86jH&&+T~K-+%WOv
z!UL1TV}FQgzVf8lIZcSYwnHh)e2kcp{}P|kvp}q!3X%Qhpb2N3nWi4NO%N7Iy)Mo?
zON52TJ!HDA0S7bQWEkF_B;fozgFOdUh{(4_Ie&OGAnJa=#`}`f1e7+t735-uF77Q)
zdk(6DXxv!Qvs*L7?QbdRhH)&=yH;Lg;D;Ivr0Jeg_nspr=Y4ksi?czo`pGdXS2c*N
zef(I;><{7R#BAf=$qvf9KQ|hGPz5b^juYH=3xppf?}KC`C$#l7&gnU;g7{j^;~$PJ
z63(yp`LB#~!wcD|=eNG9K<U#{Opm6PiI;;lzM~uYKqlr%uF(M%_}%{XrtwE6(EB&L
zUcHwBmfrgu^Eg!?nsWJ0{zev{|Fo$q`z8oa%>oQxl_-PnL2AXsAS*PDfcCavVOW^8
zTX?@s8BQrDv9_17L+~v(Jr^}mC>N)EQxaDO+48VVyPKR4%JcFS54ZSg-UZ^GZY4;1
zY#ST#mK)sWzVq=)OTxImq{gkMN<i7xVLz$B2LZ$7qZ8Yu!N+r}ol}7l_%!prjd?@?
zu{A8ln_Jg_eWV!Ye}ziGla!!z@|7UyT5`=Lo{)#@Z1MaGq!Ot6o$T&+6o#7R>P@dr
z6(N&5=X1}j5>)DNJR4jV0nJCUiGJ^u!1=%J`k{`>ApYQKtVo*}>{>q}TAi!{)E07E
zc(XF_)1{=Jwn@Ok{zS{yo@!v47?FKAP6hns)D>G<q@n(7nEZ~-8X%H)>&XvaRd{qh
z<#mtO8YtgC-znft1tO?Hl=-L{K;4vQYOfqTn9Dp6pR5H%DR12R2Gzmty|<h}g904k
zD~e)yt^>w9j~$S>t_cUoCdJogN+4M5apr8oYVUkE;<xr84OXJE2%Z<pu;(`$$3&hU
zeDtslIjNxoQ`ENnPA64ps@!;E(>(@c@>yQ9N~S}ic-)WlNj3Oyd%e14i9XowZ7k)|
zVu0vbBCjb^1A^_h(1K4GKmu|8^8&8{G$yS3y1|qR#eCk+$Mp<>+*?%~sb~ZP3I)RN
znrUD{Df>R1ZwPTgp|6DlOdznNz}R4uHf+z?wlMv|5C-GHp|9BtW<IZ&vR>B#KD8n{
z;<zF3$M4iMaj=A{w(<L2FLmKqk9u#@paHONdwhMcj(|U{57xfjLWfBEicsMJeW)~L
zx?v<~4NRlo*so;LfwKSn(||+<<Vzg)*`;p-yDtQ1Y$~V2y7uV@w`=IIwkKo9DXJ|z
zkNa+PE{6`aE^AVf;<e#}$;O<_X<PVyOYr$VCpzRQhS7Q@G~sfgqUqI>cHl5L-CXrR
z7v3MZ`7`a53ha+{txoT=1E$H;%J_Xcu<7oM_kXMkV3sN>@58kg7C)J(Ja5&4q{b(l
z%0Uv~ap_gh$pt%Dck_4AFbfSP!~~jhMFimfWsWeNmv+Dqpf3Mm)`Z)Y;k=3p%)r*>
z6F;)c4veZV{^jmd1Lqut&cW(_V$J5pot0y@@Nuqbt^Z>cNEmmP?(6C$=ae4GvIg41
zP=T3s&Iu(jF27s*&h0N*lMr@Lymi&zwdCH(`zyc-+u8)_uPjJ&wFqvtvH{nOYEiix
zYd|tmWsiL#CknW{*j#$c8vg7F_S^AD5>yIwg*J8Y;HQ}gxhG=Quw{#W+;%oG_^)Q>
zPOvgR%1fFnj-LeZ>-wa7FG~n+8PyerW>K*6=zlv8F#)tH-#ktB@WGYorOa!A0w`JN
zf(a{Du+cy?nNxui>dxMr)g}cHBMT0_;I)G8g1(yb1I%DH?h|ERBY^I0FD3O<E#ZlY
zsp5$D0&yWLA~E2c0E#Dl5)<BJ0kxd<^<>W^5u=0hr_2R#KC5AGRGc|bPU%Q5pXn!(
z?me_V-9^Cw*O}*so|=I}0WHtJuz|=d7=Fb_q@bl^>_xd{Q}}T%d7)qXHJP$G?$3xG
z1xIS*uHJGm1@i2As)OYZQt^|^;+}<7FE=x*^tx#Rjur{LouWge$%pD##t(kX(Y@w>
zh1mpLq&Ayeh?^w$hkAXW4)P-rMW>Ag7=vbF>E=@>XUT!Mj^uGM3eK|T{rmOF2pk!5
zw%Hbc$*`HcM>;_i45fS>GGA*1`z}q2w3jTBakS2w;Smb%Y`)E1{@f5Qbf`;e^skT)
z-8Mh2$PqxHx94`tS{TCNmkag<(agxqet6A@sUX^JZw(Aa1L$iNcsnu0f{%Agv75aR
zL^=1W>sL0e?r(S5K=V#E%zj{y<+M!*3;hFmA9w15M@#19wU6v5HK}_36-5~Hy!;+D
zh3dmW{gKoD)|?o5es>71OBf$DUil%wuMb7r$9f(;;ljcX-J1HZL@?k;M#{r72HZ1#
zPYjvx;Dq{V?~Apf_+roJ4a}Yl*eG1EQ?QN~Z}6X*74H#4GXdA5Te%q^X=)n!cRxSw
zY#H2eR!RcheLcn{Uh2V4+Q>f}RRPS+Elh0+mc%Ql6814s4?;>#MQFzfVj$Bf-0G3S
z`D|d8-k=A!`)s-)TnI}bY5UiMGWc~MzqLSG59%nNzVC_?#;*!1+04qa*xY1y4Cd&t
zw{2<%ccut-1~l%9pOQnBz9FWLuGPG7t{h9O5k;5NH};i<DqzafEnB1C)4_2$Om2Zi
z9AC6eEnbgQL{^c8T!+>3GVLva5groQapA(zoU=-};YO=s{<qb<xv}{5`724Zd>k@S
zabFo9mOUSD|3`;^g5oJ#)=FbIU&-C8y(;)?%~_ixG(8x9f6dtOn+z_b?2_6cr-ttW
zBlL8F^+2oqr0w1mS-c>v_{Yg#9VZM-b5Fn4g9Rt&u9uGTSbr{Mdg_h_ilqJuVCXX-
zB2j+Nzy$^5=d?-xFs+GQ+ow$KKV?9ubN!s;Nkue^;(NQ-n1;#`ytlpF_2JuEZ8O&-
zCA6U3sgw`VLJRgoHyMHkP(MjVhbAdwn^cpML54PVxQB2*>ob6oy-s6yl2wr3(?RT8
zt_}(gkyZ5{4Z-99drHx9Ropjr@^5&YE}o&xr|#%50&BTn?YoYuq2lS#qXXh}WNX;7
zF656f#8(R4cRZwy8Qkx=wmQ=>bRGG)jAjZ(293Au-87KT<m0#E{dDy7-EE&1Yz77;
zOU7*~ni%1CDej>U9W(tHC)KOW!LUv1i9^S#hpR-c*{VTD+q!UrZ9JB6)rrSWESQQ_
zHn|VW&+6jbmc?y?E>_TEM)h6zMn&D+BC<MM2Pr%u;`wO=_((gQj#Z(d*b_;X6>e?(
z(U{$;v<)ET{o+44D;mzQa^zLJ(lE1Ev3H;gKuBE4=cxt_b+*3>o!zO4o;E`#Qyr{9
zezYt#uaAm;uFgWYY}K(gm+*HjvIf>?Z-O3$Q1L^l&zl-{RlK{kI3;P&8a$uWP!iv3
zVq!M^O@EaVzLf1Y+9zxSM|4)s{^HO?{i^i4(vb@2xuG^VOvMJY)2#KFWi;^ode={h
zXV+lwTyn~YybVn12gZ{^>L~PVG156i68~=U>>S~+fsKJ0Sy_{+7$Z1w*{WC+nMVpV
z*}7KmEnsrgc&UQTgU8aNY=n>_d_;!xhBXACK;`cf${22Q#@0NY52IIXueW+xLw3>l
z?2x?@b~<y0_a5S0^>uo<4xcqpSVm{A@hM_1%fz)OR92iSd03tH7@#P_u<&fDJl@v7
zdw|P%h5USZuvlevo-E>DUS4*S#e=z)@ea@blJ}ICo#N&R*ksODP%SNkrq>R#b%o86
z*8>{UZW$BMoMO`Ucv%wto@RwQ*iVtsk;w<8BdwtE(Ls|Db_opHbV2N>)C4J|&U-TL
zi6!)wvN@b$h~bT**Q{lUqojK))A;5E3+Nm_GEi__1ijK0H^m!{kbQlFx6Hu;Zr2Z#
z#IFb;^YFA`iRcJ<D&*kM^l5V#uuy%LcU2JQu(`tf_XsH%v-xUA`|3X|-E()Tj)M7)
zODQ)`jFIA1NmXi8Ggt^dxFPv6AJ*4vjHd0JApc2@M*K-M1($v+uBeARt9z0nPrR8V
zPoKP1<I!aTQrzRL3|?;hki+_Qm+v%r<kHh!Yb{J5M5Aa+|5Z+GTz6@0m+CBe(8f>e
z@ik*e4lCn&aexEeR_uQ-3eS`M17an4+{U1%EY!*w#*Te2N-fqY{UvwAwtN_lFoKQU
zLmy3x*l_yail4C4Khl2v&u2M<h7dc<GR4cohP~2Pw>sr7k>>0jGkHFS@VFUX9L-_H
zGol}ksIfC)8n>zU$QJ{cuJLf0a$?2H6`q{to0u^&Wwzy%y8*C0Uku>aW5sa6`uNK?
zSWtiHSM#A&j$A2h82o0yicbQH-A4J?km+dV??*fI;aJ0t$$BqV^lR|x)=p)|6%qDC
z&rt?!K4ZEytAG_H>J+hDi4)I7<oX?sXTX&IPisF48-6<F(kax!g>1by^Oc1eP{;q!
zIWL<Hi|?>9>0aYO*6u@RPnPIGA>}*2s4Y8&^hGTwp5?>4nlRk7%7x`Go%+A|Iq-h~
z009603|EIg)qNDU_uhMRx$eF0wF$rDB9(>^$}D6RnW@MtDk(%(B}9=G(V*1tYb2r~
z85N2KSs7Uwz5ao7&gVSOInVRB&t2WS?G_)J_B}<XOj9AT^-9~NRW_6*Y?QX?FMyQP
z2#HgfR5;`_`TYSK2XZbYb|&2rL^AUQ8;2~ZU}B?c=Bv+%s;>Q=)*KZ=mgN#p>gKed
z?H4b$c!>+SD!9jeq>G?Gbm^>4UoChLGZ{V3#DgmKMhvFE5Jlx?Cp|f)C@{t{V9Z&>
zi!RBXX?AoHM-HQImmkJbV5OXz<#3E2y&hLml;D>{H81Pg?Nlhh=U_N}s#*ZmZe!ZK
zKPH80dt_5?e<njT=}cu#qagb4P}uX9Q5jV4ds@G|gbb%@-m^WL5JCe_j>JD@lt;#z
zZk(-2WT480#%z#8(5^oO%a%d~wAy0Boqv%G4$+%WGA@at|58gY?&?=W?=cfL>^2z$
z6xiI)F^VITwvs`RQ${v7(%Ja7`f?GT3l?Nbpp`Wh!R1I5bSADuuE&r9+Or$IaoeR3
z{It##|Eh|(=gd>?zo5V@^KFxZA~Gl_`Dl8K69HAH#f@=?XhDsa*zo&JS!7*!$eity
zI?_|!S7=G3La8)qA(BY}RUR;R^zb60zvzg>_+u&z#4a-W3MrzY<g||7X-(vo=jeRj
zlLoE2pM6@$N+=+6+L#zhM!z)mFK26LLr&jE_b5AMbW!+}Ug#JFWyfi%=?Lq<@5k%S
z)iEk)TxY*=q9PToP(Dx&%jtqgUPDNGxhhJweK_XZKt;O#qSl-?dhlE3bdkw`8k&_m
zFq36ULu5b6hK_7~m=_VK&f6d$3!Pu_v$tqyO8kV(Lq<c0PYqNl6V*W0yrK2BeKgeb
z>SXXryb<6kZv2NOi71UZq*n4P4UG(?ne>QngO2mN)T|jb(J_{e>+c`Ykk3E&>5C6d
zU{|{B>Z6yMNXy@FU$;FC&B)6*=I=8DN0;jlcX*J{%Jzf<19em+W1eH^J%quf<qBKp
zS0vODIglasMhl$}Al`X<4?yeP`4iDAB=lqKa`wSyGWx^RbI#b-98Rbt*E9Ymq40;p
za$R1UNamGnQ2iHk(5zPuvMME^V&k%iH%;p3ZP0NOsy!Wej=bJIP9ULs8YR37%c|(z
zjOhH|5;`Q?osjK1u8H2A=v~#5QAW-$jn>77=urJSWpF8$h<K+3+dHfkP|ta<drAv*
zK)u;}`Fu1`lTZ52Vg+eb%)XqgFhz&+<8QfHRn<{YFZJ>?pBQ3~fH&k0I-Cye@s4Rz
zLv{jx-5tXP5emGUA(26c{#!4Cw>zsMePT_tOcNJsei4|uzKae*DHiv>4=SVotkTp&
z>zI+%t5>m;3+C|EYJ6SWT?t*+y}+|Oa}B?%@_el<-5k{S&Fd<BQ$T!8SvxBF=kW9k
zX#<yt=HR-wvQpri9P&H4RPQPM9iOuBykzqNAk?h?@E#c%^py6fa-6#hkJ{-XuWAc0
z@6NKOe@YV7y-eA4lU#sZ+2?JY+>F76ZDD5rHpNi1O3OL&t2dZMyl8CyxEZKBT*+j5
zAcF9r2XZq0{TLh9oYEITGsqp#P2x%uLZj-bilZKbm`)c@NF!znLk^4e>G=X^uzO81
z@60fU&zb}i!c1UZ%#c&Oju)jVcGFKf4`b5)Ea5&C+ko)Yeu$F9h4Q)$pQ@f2#GXs&
zz0H_32B{oH;rIva=uf_`jGo;`EH`QBSqaq`?ulpkIBT#XnfBJYS%Y5e=g1Mqs53@T
zH0<bbVu}gT^g=^!hj(EqpWSSFIt(HIzc<4>78#J)>Mi4@xK_-)Umao<4Z&LRr*mHP
zCN42ibuCo>2?jT-%gv(=!1^`cY2Ji2Tw%)fT>E2h%)VCP!^mfSFv!Q#_AIU7B{I*|
zSp^>Bia}k`M9_yR?ulOa_9dKKzcn%4s}=u~h&`CNrw5;+24!a#{@{87L)WtVyYTY&
zUYm=edhlS`ee%Td1$_H-*t%|LA5JRz>Y#E_7b;NvtQ2J)U#aF&k7F9dTU-_z_OI&z
z@va;1B4rLYb~xp+xAiL?a3x^bEkXx`Hq1i0{bzADPOG@Q%inN*DoK_!uML)^&gZYz
z{Knfh8As9%{KV}9#;prOwZVV=%819@3@*;W?Bk;G3opGev9olE2K}L#H1)(8Jn8jL
z&5t}&xL+xI6zMDtns-3B(}@{8^Mw%o6x(k+^kMe}NlqH9$@yjG-I>8(*A($)@Xg`B
z*1XPmW>djR@tgjz!f)K_)wdkwig|p4^=Z|DIu-68v}+U@{f&1dbXfO#{K3o0u-?=&
zT43=eTAC0xi{DjD<bF$D!jr|V#Y@X6pk^V?ZzDE`+pfyK3z1sEU-&F%6Gq7pxH&Qu
z@o5fsZ|g|(C;r86rL&XR<jL@#yPJm$n#Z4HE3TFuS;yHEPfl(>LW1Ki{Q9bG3%K_?
zo;PuAoA@;=W1Bzan$Vhb@$SzpTpF4}e|J_hAl?++D5Z5G@J%Qbs#-1KeiSt#s}vKe
zlaAh;wIjmc3Ohcr7t447&9;<U#EdRq+5P%TwFdnC<R$EScoo0;F>1YkA1exq*-Y0K
z)qp;am}oxjH9Tm0x@?CsJK`aoY^KGj!>*TE^YuC#`0QIcA3>QDC4@09|NcXO@wLJ!
z?|^@}>FBq&hwQk~vwSnv=@SHq%-hMcYnlN`TwmU%`Ir}}?0<2yZBY$66lNkzESXT_
zVC~IM8UpC6?X|J(32G4jweFwb3uaWcZBL1Qjvz90Kl{O1Rt<8aTd^!xRy5nl_k&kM
z7~RNlEmdw(h3e0k%*CzwUbFNJ`F{~XceWpC=L%N^#x#ZhV#GL6$DQizkQZV|yS9Gl
zsje!hE+3{i8gZlF5p29}?GotVQ=Z%UY^s2VcYYvU<wdMDfv1izOCw?0y4{Zn6=+FY
zFDm61K%d2WQf>yzqLwG$o)rF2fidLLcsoK6vFA-loZwJEq-?T%*QyE#=M>smtqUQ^
z*V|{?!xfQ3T&97qrYbZS?>^FdR|MHy@iBa`p@i1gO7?QbszS`Y-yu=qVyIU%z$Cm#
z1@-NTu@U&I3g^EmZ^{NppaG&^_iZ0F^jYJ1YIdO-lr?(2c21N+@A%{2HPh9R?F23y
z6H5STx8rh@E*bR9hcwD%NJP?Y3ZwQp>Y!i9y=}l;9wmzjOHBa@RlFJ7fJF@uJo?zv
zbVdP%stAeJI#Q5@nQUi$o+j+PsqOuJuM*l_D_p^DNJX0=GDz|k8TOCt6MTo1k-1bx
zumjN0VZqK$mK7~<d6g>E2C7Ku)kK)Di8iukyTbA65DlIT{*uOCtD&l?gPWB~I;bo%
zWi)k48zy-Vw~ITeqeLgM_bX#MNa`prm)HYc*eU2(nD|8l{W{+`KM<>n#PanEJnrg)
z*E4}*Vuv)5t>C!(?jc>&9wy!_&};}|A08d7e?~&j=?)&v3%W?$*CS=@pE1;R{!BDn
zAtUp%I;SJ+bdjA`SybvCQ>da8?QUk$LJs+(ywl3Ms8?E0a`id}O?T8?Ti<G-VaA^i
zPwD6&UaW#$a~$A0w0(<Iry{*{LuR)L8anW&<bd0>Ie0TqD@p?uB`hBDGqIzhnQn_Y
z+4pq#@hYq;RFjHS9OLDE7D?!qW(eU%vIX?qUD<BhqlH3t9<%xKTOBp7f0@abw1kp{
zzYOim6f__ESIW3i1@)IZSeS=dg4v1ML(~p368-Tqx-Uxs8MG$yuidZ&@7EFqH=Ic5
zm#Dd*sE#D^4xJiu&9DRs!hatcN{Og(-x)RA4}!?UUnOjhk0n%x21h-Ar;Ze^5uE+b
zvLPp}0)81$OQ`%3-6Of>ubg<|ds+3C@G>qvowRZbcvbbMq`FH5QMr3)=O4G>`&Wl@
z)TkCvKdBMG(W->58b@%(EsbM(RMX}&rF75_aXK~7q=3wtqNsDPR<J46+GAX@boj+$
zMlQ^kMO}|eQ{%-M;q~CP0KrsquoIppk;fzv$4qKLS27DsI#QyGnasg``q{@OA2Gxt
z+|<0b&IY!w>r=z00IZ4xwgo5(Bk2>z%8YY30CYEwFi&B?=D^)*DJy{1lis}QP3D9N
z!?0apzs=zOiM`=k54q6xWN#yVHZEWta_&mlG=-Mbs-;_%tf<J3?@_HX7o^#JdnzSq
z3d(zX5B*SNMAygS6FxI>L7w%tk_IyqkYdexLKFFm^RoxBu07=hyTGp^jX~Rh!7bz0
z^s{;V{IiAs+T1ze(uPNIz&&H=%_+OmvVR=6{x%RUw7~&`KXV+{CX67yNw1|w;UmsE
zv#RTRn*;7rYqXJ`5xBbDXN)^mjnkql<0~CFVD903i+G|T1hJLXjt0NMemH0Fm&<Yh
zsn}*Be8d12y?t*L7JR`fS^8X}7&*Z8))`L^a|7si+0<wc8N*KOf5iHYnFB`XH#b8|
z^g(M%dA!_n1{2EF<3R)tsC&K-+=caFX4AOos@ptPe$VfpRxk%VH2r?<Yl0s9Ma7XB
zdl#`7UV+WN&m17rUR~3+rVGx;WpwNXR<OFc8EdX!PT2MQ5@q3}E{H~-6GZp_Vva<+
zwLcnMF!#LFX6LF7SRUDXU{rSlOFPx!{)m?wGQLx_QLGO9q<A$<R{X<kyg!bFN%KJ4
z@ZxD_ZXLL8{lQXQfDzWEU0;Vg@Iw5H2ywYwZMbCCEIw<)1S*$5?pJ-v2jfdj*VMJO
zf%KwtXeOB%a_zN`2oVH;@PxPg<{KKYy5`>F{=@=(Pdph_IR#;E=(EYaAQ}iQ-sRua
zVFS~;lukPqA*fhxznCma12Otub?1C`@WM6pkfbo=EA=<uXrjWZPqJC6JSW6yvAdV=
z5`lyB;XJfRDgc(i&s@g^ZHDQ&zB!_xTF0FKl1hcexJY0=#sg|v8ikH5;&A2a{@%79
zS`hfm3%xhvgAiidr{Poyu<^?8_c^TvJE~HgKS&CI>&e+bcM~ZXDOS1qQ$Y*t%}84P
zYJ!l%Cn+t(EdzPxp=AEg6xbai(Z6mj1R92g7-2&eN@fiMC(0=B&7iNm@vJZirSBRo
z;Z%Un>D6=Z(kXCO*@pE>rwEYt{k^uVrU((2^9KAgDRA#+LHliOF<3Nmul90Of~Qj#
z&elDmfX2+JaH$$`I8)*3bTnHT2$5g1gqJBm+ni>4V<QPfd9m(=aTVyX`mmtprUmQy
ztOiC5((pOXF3)kN8pxE5D*u|)g8hn;&jR1cz|OBEX7<Mf5Td)bwAfRDB|_uNV4WPq
z*Pbwr)zkp?9XrxAUQ^-K#suSCHw742Zph%fO9Zhe6LH`|gW{|LqE&z*ur*B?R>_dy
zZHh$=1E)6ZwmhU#{htz)xGu4M-^$hT6RZA0z1m=*q@{N^PZ?APxm1dOQXo0|r)DnF
zf$;gmk2D)qz=jan_eh8e61E+^tev{x;w~B$_kBxOsh)<Vx2SOJ{<QhSB|VUPTCOC>
zLV)KdB>Nh8X<(l6%eBeO01OKx^TVaofe^azdZ#N5cARa#ffpFUz>oq@qM`<Poj$Di
z@f;2GmmZa$6*q<~CUK!OAtHFw#Z2y=p+R4t-wDRtZSbO#$`|vK2+t_aeq=fgQtMmX
zQdLc1&*{uRdRdy_d+y#+M-LUOeT_>P%FMu4KfsVnngs42*ldlqc;=Y=eM5mCpiMhu
zK|YuS;R|wsuWBi<@?OF7{4;>s3}Wk8G6@#*H;!>vkU+NOgw!VobMUY1NsbFA!9MH9
zwV$1d@VMsIOj4gYz`qAPtV$$!ZF_uv<_!VVu~m6xQ##CW?F=o-)&%eCw@xQ2s)ERm
z-0Z6t=pgYDvE&XA;m|&d;JX1zuvZ}22CJdNp4v0xEE5{=E=^&~;jBCu<(aQ=Hqzmf
z1aErqdv&P4eDY|iw-lT=8r{$Ohz>*f6FVcW6W~+B?=sU8Q7{S7Ri&lT;jR2LCu3_h
z*zO|Y?BOa1^qZ06vIptV&}!7W_)P@@BEF32DRYBHt#nm}03Gf)*>@+NR0f8SPttQa
zEKns<N!b0&9ICFnZ;&{Zz|i${qNLU)mL6aEpxV_OvPwP_Y|B>wPrl;yTPlkf`^sbK
z#$^Eif)z~WtQ<T^Qj4PZPGUjFMM#?|0I6q6_Kba$hK9;2i@@7ou`q{|qW&rX<V0d)
zu(KrijC<-^Bz0j<#Uhy!VHjN3ZL1926oZwqzSnxsYOt!CEZrjcX3(&6{m=KeA~5`w
zSA7+~hu;{u67BKU6zr4T6(c)@fWc#_?E>cu+)h+(l%2^Gg4Dm7T>2vb+_O;@F8)n8
zKB|B4p|J^w1XXitT;qeNcZ0GyXBu(N#AN9gQCqwUmngrJ&J9Rwy;{rdDQ?a<#I&Qq
z80-!d7ybCg0m2b(4YfL@czoI&M_X27@D=Q_OFqX2pU%7eQ&Y&m4kyRyy|6ce0(*<a
zm;NlE?<M7^_Fp{~r{T9hu*49)FWz>K$zTFL$ypI1LmT$axV?eMU<ieGIft%oFhKpr
zp`D6r-57fwE$WS%0Yv!WhZ*4?_PL-p@~!Rw#t^UOq>A*xZuOzs=jnCqC<kwO`SoF}
z%|-MH8$lm_*_A|QuKmTF_8x8jlroCl5ODC@nXU(e#p{9fo~syV@sX;8p&!`eoD{)!
zMm_ja{4+U8bOmF&DJ17(_zU}$9z^$v(1nvVw$B8Fm$95-?KP>}Q`q)b-G>;bbs+lb
zxS)*v5*FrtN$C{tEY?@0?3v)F16bW27t5|iY(+Htf=%xn=7@T_2gbC4uEVtR$N5F<
zCG~veRM`U7wcK-YDnJ{e6V#I>PAp<0p}W7~X^R+J-RkY?IT|#IWt82&yokA(D0yB>
zUdB|8C0&t>-qM|O+C)O%B4+pZ@PW+2RqQL?E+fxH1M!un=lAw3VM`09$$NU&Fy^WH
zR}D9*aCAKX$?EJ9wl{xd=mv2UdzD09oZGtltPi_XPT|Yg<*}&IkM<0}!ead`;hGj)
zGp=|hQNMy6l89^*DP;uL`{FD?ofN?J8#|qbSFt<)zO^igGsB+2apMLa3e+<F(!;20
z*!I6#ZRJHQU|H=@blrgrbNu$l-K*EJ?;Q=jS^L=F`*FD%><$Us()Ojcdv0QUndFrN
z@*JQV>-&CnO%sld(8)YX3?Q>xRIpWy3yv5axuEW<33f@vt2GoxFb_DS#AeI`CEOkg
zRxgRL>x$t`b!R5HF(Q2ZR5Bk>WT!NL8W2HlCa2_V0W)~VDaL(I5`aPReYaa4YQUuu
ze^E{@R&aj#UT1bv5biUa``2iq0nw+272UJhz;g0EIpUZwT!@bF|J|hyn;%al9kAhm
z{<!_d%KW16&!KfBGgKW~mSjrVwtPwSb+2~~ePZC6@b4+6tPXui?q6DTc%W*8U7ovD
z0#500?r8o_fF#?j49Q?VV2yI<==>rD?Ud1%d+P~MF%ll=7Ayc0f8#4|smVeSIp<(R
z5dlUo{i`!;7KFdE>rK76@{m9qdTUZlfRV7la|(LGkUL4bLQzr#1EsjLnlA}(f0;>h
zqE!U)WF?u5Qk5W(Pvh_b7Iiqhc;K_|X)#cg=($`assb{+HSI_J)Zx?UXc}$51e^_j
zu*vsG6(({PFPAN;gPHA_ilp6A5M$VUX+Dqu6Sh2o9FH_$Vz~60;c*!-9CmbiXP^N~
za65Imln8`7QC9nE<={{D<E*<PTR0W%zU(om3H`TfLswH2ATxE&rF5MHy6t90hwaHw
zX!KI?Vy_~+HV?@dAEUsz@qd&5M77}kS?G<`REF!JZ24<GRCvJ6RlGlw3L<%rD&<pD
z;Q29Cj)6TiXgMJ<uGc{Wi)MA!_*GT-a?|*6in2ER$!H$dr04)gZ%5TxzpZ_QJHG86
z(uTw=Uw-))x?pqcnSH_sb=dhpTFx?52TtEza2tryhe^JdeK+-p;9?M}w9=~sg6>IA
zLk}9lnSx`C(dRVbSIEw%v`rmQDVZfqIT^zPkKEagY7$7K-{<rl(E)-)WyQRo2_#vy
z4PARghG)J3<Hw?OpeOc5KHph0xPB!lbLcz;N(ao%@8Q~@)O^)d$pS!%D*WS&xE4@<
zzK`Ioqk(jH^V&@VbD*bI_y0Jo1@05i^QwKR(8-t_>mt0Rk6$-qI6br=Ht+d&-&!(+
z&0Kbdw{)n?)k<IF)`D{G4&Du8A`~XxO<p~00d*3~$|n94C_l=hl9!|gJia|Y@4dEw
z{#{2@)=rb5b*?nxZJQEYdYSG;W4DABX0{I(caUK1#n<vIT{#H465FA?l^>fLBF#HK
z6G820nMk&&IE>D?2-~w*!d{z~^gz%6)Y4p^HY5OoE*k5kw-yk&W1scNIRd0)28_!E
zuz~%ZZ1(kN3rM(K>z`Mp3bkjf_G#IzVj7A2qx8fr;Na5rZ4U31p`rV*r2U@}Eb`$@
z)np+ZHp2Ckf)^Emv^R<m9q7gh%Q}<6s&wG9xcRF^Q2|_*F8(IhPveu-CPhj`=J2=j
z2j7nd8IW!L%CKvC3IFZ#pH6_hIT$>NrQnApLFDAwje{fWxP|y0a!W3NJFE4!dLuFD
z+Sb$UeTe}T_Vh0PkOAQ9ymPu}r!W*meRQ&)WJJS+BV(=R7~GIvzCCeG063aMyVo0-
z&<LAUbD5nPY)ZxG3uyDewy70wf&w$jOeAkC9W#aMIQOEDRqWt+E#pQNjTyNdr@wk|
z)dZZXr{<e-nIX9AaYH>PGxB5qxj*CiHb|5h%JTj34_mzSl2LN2K7{nwYAzT<z7aB=
zbXdjQ53oG%a%MtbehpD(sm2gJI%&5nY5{BL;@7=3#fY9~t#vp=8o`j&@=xm7Da?o(
z-X0alh(fhy$lXm_eD0cmcZ2o~qegCOh|4n~g+hM)F;PPpjPSRr`p}Clh4-Ja?_faW
zw(qZ0gAG8Y;p%$vjs{HY@tHeUlNeBf{-H9BxB4JZEjE2GwhsTuKD5Z~$$+dM?x5e&
z)`#?@)yCx2Zv587tf}%|24v1SUuKZ22Ytqr>&y2Cak&Kcgj7cc<e8Ow;Te}6d>T{R
zVPW_Ur~jxN$UMz}Dyly<F2?9WS)qSa;G;1-FlH@F>lp)DmJC1Mu&4ufzl?Q9eVfDu
z%+GshN-`oY@4)8i5FPN?p4hy-_cv~KIAX~<lMx*)4m%t?uMNXPGp6Ei=kRxi0X(~?
zOlYoTzJYvF8$zx2)l1x2z+0w5`gtdr&@OSKZfOQ>IC`u8k5Kp`UXOSovy~ZT>=k6!
zNv451(+lQ#%Vqq1gX(tS78Vqsa?T-4js~AemfMYFSMeh=7Rrm?SrL<$cE-0_Dri4H
zpe4z?h7U5ar~e|dqpi;_lD>xu=VOoSCakaH^B338|IFq<b&3+L#C|RK%vW1O=l_R`
zdG9z!rf?zWkr#PVGFou)BC-2i0Rwvc=w<%iS#D${s&!&V00sEG1phwkU_>lQsXD|F
zUUa<TpRQsP8JI@gjR-u<s8-`w$O@wX8u_U^K~^Ed^!enqGH({-IUYJLKoLY5LE3B*
zX(XueNbAQ2Skdm|@~X{|LTIEe{n33+64VV4QWpK$(dClg1kqt(q<e>NZYo6+h)hx?
zOER2D&!IV3{irB9EEpNXpri>m&g(iS{oz7m)Km|epg7v5?J%;xg$QU@rj^Ja9@HZz
z!y7mvf#edZ_a~p+^7p6s5(VY?k=vqaFxy8dq&VYrp~931Qg^uIE;Ve;ZNyb9{8t7^
zu^+c#lq5n)@PI=<lMtH8HXiWWE{}Fy5I74wMDVHH5wy))7)?a_&sBd>Kz?m|#;-^b
z;k1H7;qg%s<eC#U|65xL$zL9qkFzGi?xbQDwpcM_%n;EznX8OMwC~FqWD_C3z;4-Z
zn*@@j@U`&Dsv^IziUu1#O}JlJXm(FR3LTB$>0EoDhQwZXo%{Si6Joa{%}ZPcC49Ft
z^gO7Js%tDyM_eR9%+ZFWn+9@-^9FBRDL)aZ4wLKtWsrew?T{3hD4<w3OU;&dnuu6`
zF*)%o1xl{<SV<gHMA;`1Z%;ZIl~diE{~1uB(DcBe=cP)>Tkg2<^gb=*bDhD<M}-C{
z-u*dk^UBCNSMv5^3>6u9mHjR>(1ww9cFz$DRTSfKd8W*ghR)`-G_!{3z|BYYow+$`
zsQ=8(>*jxGh%Vk-mf5%EV=p`99GxVfS0Sg5Y{qLN%b>@~MV|T)rliJlT2BKxzKh<>
zo6tr~<0j{wcnu*VN-lUlh={@_3AR&mI;in8$;`RW2<ZPkl~_yBL^1GU`&kJc^y&UF
z;f$JXFnHwqMdd3bG#nZycehI$J={L$V4r0Qo_1*dqbnIn{6OaJ7TQQwV9KpvE7z=g
zF+XBkA)|`|izg{3Xh^EOQ|r<#0Gr#NEE^6`kaXu|gNKKxNL|^oD=Nqwrhiv|91Er(
z!>&8K(?luge*gdg|Njh^X*kqv6vpkwkbTR(j~Ql+G4|zuW=Kg=$&y`ELQzsl8==S&
zl_E*VOC(ZJ%KuR*m93H_MIuYezHhIu=fk<4b3NzW_wW9AjsMwZO*Uk;eDED+(-5au
zIe{vxgJ?0S+<i4{XgRNQhO?Q9471-jICYZHJRUYaN3{lu-8K3_2`X9$l^CU;)IjCk
zY2v|=)==c6XtG^a7lrs0i*YHbA}PJ7R_`2Zs5xC6!tSG>no^R&p{Mewa4h@}|1E3C
zyvK^JJWEDuvH_HH1yaZ(i<NJF#u{|aQ;dz~NNBvNqS;4D6ft))ul=;PhTCFW;&5jz
z6yThi;B$%(ap#{N@t$A<f6&tH<$Mj4(k4*-$#MxdDbsi(eu)jc_OASF8Bs&mP462|
zof*Mn<K~V`sIsBG*wJsmL=^=_#<bS_eT{!!-^1Em%7T)N)n_Wo%4nrqMtD5217lyV
z@ylhfAUpL(h}B<tl<P*FSuZ+_nLRfB`k)GcmT8<k(I<;?xz4yKDotPvr`4zDEdfYY
zxi@zUNuyIIHl5m5K8?Na3pEhAh=EBUmEp5b0tFJ4<nHm#Vbk}{pESO01+5P1y7;Up
z;;~LWpX@!4xh$RxyjE)o${a@~jz_ISjy?SJ=*fAkX){y%{x1u#v~Cu@9wvZJ3IAE(
zo1Vvn462{r5Ve3k@xczA?|4x+mgvxaaUSdU<aRdQU=F&kTsXhSa-r$_0+T1d&SAHn
zNElj1n}J2}o6KDLDo&)owA7xT#cp^EXl;6B3i2_}TuYbcaXdXi<`l;)HhS=>?&LaC
zI44=}o$WJ?PZ5ea4{*$2Qsv1dU%X7<f%{%B75j0#EX)7MGVe5YHkaUdrP3HWS6F_2
zyZ_*$v24vHxhd@Pd)r$r!p2a_@q#0p(2p0SvV?PNC$aZg#)77yMo=xn+5X_i54_RF
zOIaXg0^9re*4%|QL#QT-AXsk0dqnN3-cF5Uq?H=hSt~=Rxg1V>d$s|$(CW=IJT;De
zu`>!BC}o0~fN4|CQUxwIu>WqY_BdAX_Hk*lG85i0ZvMFBlaH-_c7ACzH-?2<<!Eop
zFaY7b<f{s{b(lT=VuXKW40}rFT^tiNfOA^C2A+wHn5QInmLJbJcDUzR+TK(K<UZK}
zAqPKU8Z#mOUaWD<TDn5)q8I}>d6IQlCLNe$0Oxsy{Bf+Y<I@l8Yx?k-dH>V9Cta9w
z!@4Wo<O$6F7!NyAMIXHGJnARL_F$9$1&6I~pTHu|mr|tf(IJ*?J<7Pzi)~K2`0RAi
zB(~|}GXa7n9S(60CRmm9VR^C%5#o7Mm`9J)g;TkDuyMef9QN!t=GI}8PJcCx{VB7H
z*wsV>u4hrXN$rD}`Ik?o*F<MArGl2$WDXi+e9g>Q;P``G|7|24nlOi%wGWetW>jcW
z8jtT`|HaJGTc}R@3s{NxocXIrU6@h+?9Iv_#kQU6z2+vkgq`s4tEk3xKxb;^??uUR
zjBGV;FD<`<O*Gz67!lL~_xerys}D?IL1m<D7X}A(agESIyeaT&Yohgwo=Hsn^%sx8
zqnr?4JZZGOiVWGxHMjR2TH6~BzDN7IxZo!tZ4#Fz!?<Nm;T82+jQaf!b?ZJJ*m^ej
z-Jg@%U_N(`61q5tVSUBwA#!}+piq8f{V)k?T22}5US7Zg4plfEnCFLgk9bV-yh%_-
z@G&FPma$85{5)O+BDiizub=JIf_l7iv@?Ab(|SB|wAfw<8t-X-FY?g><CXXyk+Pf+
z8ueUNt3enhd~UYy{i_Mg^;^pH&U3+((&R#1ohU5Le>WD2(*#~$%L*jR18whW0v16W
z?5K@r3rL!fe&30h)5;5-9X}mH`z2t5@hP{6b`6j!{JH1E1AgcaV#M)2kb>jiZ)^~_
ztO0xSb@yz3App+_eg3P(GH^IyOv=JX1K#BFCb4;h;B_XhQrfy6#5Ym|?JPBbr*+`z
zhm*n}B5-YVJ6Qovv~7Reskc_Iy>P<*x+v_eNw~MJN(sWg%zRNW(|}!7j=|dE;^6e&
zN7t!V1!(63+0ASHM+@zC?Jko5gDsEZw5`<O7?)zy&N~|5Z7&e)5Gn;~zsX(Y-_+q*
zXsmFPh$iqCPew?)%D{=Aiw+YRnxI>w+$DcU6EaABXKwFX50&Ae#=@Z_kP<8onF!Vb
zIX_yySDri^2o6vf_aj41Z*ao<U=p0n+UP4pPy*x0`L>B*9oX_>>UdkJHaxGP?X=vY
z0>(#?XW)4%m^E&4t1+fP*L%_JQpKu}8m7{zQ>q6#!L1f<Qo3+T-^*@RRvpx;d`Rg7
zbkNj(Qmwg_2Ia!%I?XdR;9XYJg@0rEFy861RC|ODH!Y9eAJx=?hq5V8)rJ@lAL4y~
z^Nc<)%~HQ*Jt0AblS_wZy#efx?i|l7HGmGYFBuXJWN=lF4YP`5!r9gSG^GqfFr|?Q
zfnO+)l1OmdJIe&&=a=QA%Z#B-FHHTfgDzZB)OK}Y7=q*0aG9TfOhM0Rjw8B&3hPCf
z_Ky_}Vavlj$6IU*Xj&!B2{zN9emr!r`#uw1up64$YrY_=c!t~NxgPL;x|<OF%K(nr
zq~_;E0yJCkSG6(dVCGU`Eck>0mQ$wX0%<I8iqNF*@TS96?-qxP#`@s>^gr38i);w)
zy5hLiiw^aPN#|U@(%=A_{zlZt8YIsIo&QIr!wrKQxz1~I;J#;Gv~$})g#EuJncI4h
ztt7kaV}=$OB}v!ph_Hd&#W{LtDh&?5{ixNlQ4L0Rml<7tU;|<ONpq`uR8VppKp$xe
zuqRzmdws19yey@~bEWEl+Fw4Bj;kd2Jc-?4bkhcQHZY1xo|2)bla=^iG!b?+)vs4_
zwShBIeDzCpByepLym!)c2|J$HaOdZwH3Yfr@hGcY+p~Ll-!AraVbi-0RmVqJgJQ(w
ze>-lf!)vyqn~F>yZX4hy>psl}8Olwg+C)|OSoiAqspeVSw~livejgi3Gr4~U3n~ML
zu$tTlBTn>i@A2z@+gac~A;_rEk%vjg4XwsHyy!t>yDnuT3(W7{I=DYt28_D@c5Ywh
zM_T>C_ntfjcwyv!e^x>gjAovahJOhl?zqMfssTWjR$o!#fGAuz-MXwKCW!PO^{>3x
zjX{X&_dmN91);f8?3HMRAPPGBsMIUi3cTw?0`g1vAgwp=K;)1h8cFNvpq#aYD=90d
ziobC}g+~ml^Q$0wSR*|0G}i*M#+-eN1r{;$r6hNbY(do6$R*|5Xbx6tOxp>|Nvt_o
zy7PgJAljt)f^R#QIrz4Fk)NI$#9mI7_#NmYB1vMt3}Tr<l#A63jL?BO>A%;Ox<Ewc
z`(ty45=_DOw0&!HRTkE{`jK|al!&ata|sHaCJ@lQ>rSEPM|@rWcb9w)B5Jf~Ev(UB
ztE=bLH&c7@<b!pGzV!;AqmOl~tuGk^$4cvlCtHT`cD;Gt)II^^^Sz;Y!?Y2+i&i<D
z&_0HD7eBu6m$25yNy{bB*9g)W@l(#mQ+Q<2u=uVWM3l?8Ul;Jf5O$o8mQHe=#W}vP
z@8rKAA`z2APk1*O!qjA}TbIoO&Kp)c0v>{B|7Q0{%~wpg>=0HsEVzsx_=(#bR1`wz
zy;RSZZeW5>t#h4k^(t;Ce(%^0;yRS$BAR`v(EyBHmsMgYoT%C?JVshw7_~~jaBp)n
zfc#pU?E?{9h|pmdFc&C-s{C5M#Sb&!^!-!<_e*XR@a65E(u1PN#d((dRWt(zsy_1R
zNb{nL4@?w$K@2HJ#IJj#!~pRV12N&@d?;@3E}kVFaTHqCemJd8A6}`At3Lg~kER7l
zPsiyJh?7d9=LYFRg23~}`yK*F@{y+Z$8D0R<KG5%Q#pO$*wZEd^Dhy(zfa?>OOira
z-8BA&RyuH8&K7%qT?ny!1b_VNmqtMbM`IgP=)n9v{UOsw813M&xs&cCi>`mkZu_y5
z4g#90r@yI*BDv<P%Ux6JQNy~o`zqAwYur+jtwa(-GvR{#L#6VFV&Swvn$v?E`9qe9
zR^sTrKZ-4iS41Mc7nT36>5+bO8_8k61p4f-`{}zFWu#D+x}hUW4<0=;eJ6BR5>4ne
zB{jFIproTe+}+dkKrC#%YZj+8QsZIlKRm9ABwlr9G79v->lCAc|BwvY>OeK_P*X=A
zTDF}FZPx>(eTjD|^Rg)T6LwHEKm&18>ZBe^(V?VepF%>G9D4m(_xF`bO*AS>Rt#{W
z!-JE&Vc@KQ>g~64X^N0gN`;K0ZXq2E=6u`+wUy9=O4XK}aBcL^$;zHzR3BU(hWMKh
zRZxVw!BBe_87b#+SPrG@!`|Ib8kdQx2#$U>JiI{%>GP2r|D!XY*3~Uzmy{aviHIMs
zFVsaJ$=jm7tnI_W5axs<Ngere>TG^BM@2_BCAZyrVE_jm3MVit4J6q2BzRe053Lv-
zsf@2?Ld$*fn~yG<$Yk%#`fhbPlFL&&#B4MKtlwbUc!(By*^wlqbB&Iu6Z|#IB_nvA
zNxJ$niiD1Ti#K~cLPx9l+qOU5U;<}T7yms!rHzsXO5YYJ=_BFX&SM7)OyQr+`A9s3
zjO67a5=}_@sG)Ck)J5DJtRr^1*{~_7nD1Eq7^gmxLcJ^B&s%`cMxUV4SqhTBoAn))
z&{5X_dmrDDC3q*<>tBi2LFCfUnb~Xa<fsz6-5P*Frr$ZX*^myp{e4Wl<TDLzk@*}u
z-~kY(pRYeCr;B<&JZVTIuH{7!nY@G30QBdTo=$6daK~NB_5%|X#4BaqbNB=cKFkN1
z40Y?EKHdFU>vFV_F4r}2hXEFR^|H5GI;4a498Ntbsj7vtcyDZvHf6(j;O5YGtrXPf
zdFFM}C3W;^&k)~0C>yqW(3?FtD9D{FqRNs}71gTvjg=&_;rkRr+>(!s0-`Q_+ajch
zDzU?925Ua(?>hZbd5DCLQVwTld&?qHl@Q(;&IYLiGo!)fS}1%MEm&Aw67jXLe%{^4
zhS7l;Qmelvn)zybeVef;8hJbyAwXoqajQ*#I*A&HYV|C=sZ0QkYjfN<Sjz%q(b^+-
zO4ZP~<bbc%5H})3KKw%tWPzjLew!<fs%Ru(W8yK|3Vy|lMKC3@AWYgi&vQZ<9p}vT
znBO^r8}9gYSMNW7JA6~y#61;Jq7-qeM{x{)rJ>YHV*%vn?AA;EC5I$_2?gzc{2Ldm
z+IOkB5`*8Y)I(T`EYkkNBL?B!xL^8~TO0eWAofjn*o2QX^1yT-Xg7VvPpq3dS0-x(
z7aqMgUT~L0o~~yvHKexSuF^|~+#D?-sE2Fuz*%uL)9W>s5&agQQkg!ZooE5c>9l{o
zt)l3P$y~%U#|GTI(0%FdTXSHrwJ+1J2qTLbHKA>s@9}vf_AOmubHGDC5hFVUQH9v`
zls|s0c&;9oOOvY^oU;0ULLf*0d1{{Zk2}(a=ijaxNGUXhl=Pi7RW|%6r+hcP^Uzm(
zJVkWYXTb#KX!U-p{=7)9!;3Dg){Up<uW)EMnLrq^Gl;pS!&ZTbI<ohAam`OV=c>z%
z!F<P+OC?@hXvCE}-fX!aFWsIjvM6p0lAq9(uQX0{e@_*@>F5w1H-PEBi8O+f>wH>*
z7#!#~7jJ}$*kAm8XK>(BpCL5ZJik!Xu!4uVFZ^2$7{lok<)bHe8p5FXp)a-3%lK){
zJ6p#cC-ANZ2f}F$On8H0!u%7K@USN%M`Slo;qO~keHSn$)I<={Zhu|G!y`=U*E`SP
zsdS<FrWymF|K*e2bYKxr>b&I}96pCPUf$!CWo`fyDc?ngutj`<*IC%0XaO&q4l3A*
zGhqD<xy$Vii}?76S}JvR2|u_fxHN6cfUN<$rWLO&;<ifN9@zn__+#0OUr`_R;ZDZS
z;b_q%+&%Wif$Rki<S&&IJ?OW_x1Q%&N9vaFK|ivzv?~`<sXi)aJxzx+jg46%h0FLk
z!LvK#-f<&pTWHDkBsyF>bM=T=?FuepG)^0G<wcV-zW0|%bl4aA+IN_T1Lcw0K1Fcx
zqqLe$>XNB?V0Y(IidH=b`WtAQb+w6r!e0uOG_=!T@xLPX=v+?p!T+=U@G~MR9rKzv
zM52L~@ZUiG>s)C2SBni>+l0`bAy1Q-XeuZuB!vjw<3{g3D2}wrh@jwv<o@`6U6`)O
zcu)SxgX~fUNBinUQG2<93U#M0c-Rb@SQ_ymja^%$T;;@3>7GHgjm<j1_3($lzA}Ea
z|JH8X%!?9e*vmTP<4zsO%J5&{-y(o|Gg5v^D@dWAr)ghS1}R{zaAo278n>0}W>wfW
zOQUl+2TP5TC{VD_73;&b4pp8bzP(i-iz?xF83`z$$9bz`N<{>b`ENW)xGjhBI@+b0
z_$c80>4m0iwJ74#_Uf{IqkvY1wmY2YCBu4G(Otm{VyFmRRsJHQjMA?pQh$FY!=9u&
zPQGpu$ZQj-A@H3Fx}@x(V$??l8<V)3?VlvkT$=c{Ol37B)$`qhAVz_GEN5-!gVJb|
z$VyzwMRi2vd-5mBmjd}a<U9??vPk8f)BXB&n#i*tsgk+I^~R(}6DN7)kgc4Q#aw|F
zT3;gk)9r)~po`xwHFGN<;<+x1Ut6`&Wy{2av5vZ6Im}C;Xec4#u+L3C0tF3T_!eB|
zNd-OL9h-hKRM6tn3Jve~I*5)lel7e*1LHGnc_05Z{mr=OBb!b|?SFPQJdvlvVgOS>
ztiLK*cK)^+D*W*(VTY3*YLs63u#KP(x$FdqEhFk^JnDwZL^K`w%X>_6Dlp)wzzC5G
z(?n@2Hy1VR_0hd+``_rT@z_JDiJJ1OT8Qs%_etMneI%j0^l<hW6OP9*o$H24=sd>*
zh0m!B^sFwYympfj2-njU1C7bZHs(;b`aA=Dm~wqsJ8KLiS>fKwa0<GtCo?#vXMjAC
zlOGqpGzE%&NcXc09b~Scp-`-2fRxSe`32;g!xZ1rkGTw8q{D6S^<X~(Z6{Py^)Fh&
zaC;czaS#>lea8JyViyC+9{wscAA&)0ZQ8490u9-9#>~yf>7yk${5m}w;7d7rI1)%h
z%?UAo?uOEl+Wz|My`d~nyk;LE7e_;dCafpR<}_q~Jh5<An+=^tn#t#O(U2K`(VzXM
zI;f)b<*RFTY`AitPs*{MiaM>7A978TkbLllK~F<#Xaeo_2NWvuxRWpJpQ?eP5A|M`
zj<E)nMP^+qO&67_eX6u3tD>Ul;Zr~VvxXshP>#bq1qmm5zE-W1NA(qZrY4Kla+dSx
zn~KY16r6oa$2xoME)Lwzqa|1apVS`LQi3)r`Mrx+P7p=k-pk}BI#>hqquSpc{#t0z
zkW3jc<3sa47fwYlvZ4P!&eS7i8b~>g2lb>c;sZeLkH5|afj6Ub!c%JKbb8V;oqxl4
zTOd0xkIV*YnOgi`3sqE27|M?8!|`4n0Xn^s1x8u1=D$>wQKD*TvAJCrHrW22QfI;f
zO|_<9D}(Z=%6t2BZr%}0^?|#){BwXGP6FG6zsaJem=<qO<w-1<78Yv92I%Ew-?3hn
zLT<mf-nu-R!5X%3L&#+eVxCS`9C4CBeL2rmLWJhA+~pqWj3O(jh`RpxShpw&J^Vtq
ze$N6nlhW`~vEC9s(nU<Tt=FMsiIc>vg#}Fbvw`c`Aqyx<dEvD}7eF6+v<F8Q7qFq3
ze9kXYYreVCsq#LS7wr`~^XYf`0_J@2+w#1fIrzWbPZ%@dLe9T7c6<Ju$0U5dR%OMR
z0X3v9nwYYJqj0Hh&$#9>6V;P3E)Awo@@h$qylo!$mEvM_2+d*p<N{n@ikU*fR9*P{
z;wjwr=9<BX&SI$>&k~ROnZScEiez}w7=FCM)1^Ru2GdJ>NfE0uhRs&HA9s8j!tJP?
z1-p!=v5!XdRD(5tw9uQdQP}?r&uth!PYs^JniK_Gk`EifSpm7eE2qBUnFMz+w`Y^s
z+8+*m{$dF6fyZ83Mt;C8f10!%qfKIbqM?VHScZ^yD5leaUWcERW-d;@oWLBP#jl!|
zGeMh6DO5%-evJc4s&}29zzELTH^<bNVCqSlmbv%@GqUhvCVNj{5V_!sG7X^j`C-e1
z#J3naxRGCa&jdDqV&nBVNdtK2Y++B$_=xqrEzq}4pTMXPEv$T*0b3TX>MKlq!K$+V
z+3ol}fiZV1MTAN*Aadf^g>{o%*ih_?@MOP9OdyJL!t;hcbUlnqaq8&7HZJ#_^5>bt
z+=h!#tA;*g9ud97Qu&2>WUkv4)iQ;dZn5L4s-Q!`EXK0*=*L(D{NKx$(^x8TL-q=b
z4n0|>-;SmaVD=7aCegh!*y-ONf*2)wfF-=R7}q?66(uP;yHe+{&8wkTXF6!G?q88@
zg3JhZAY<8hXW=|H>5yG*vW^D#_5>;0NBqNzLmx!UIWA&y@}Ktn+en4ViC@xX$Hp+u
zhgdpBUB(7gurrbgx^Q+d;zH)@aV*1)p<2XR#k^_h^zv36@NM}dqoFg26&dWEz1hG4
z?8BF}Ta|R+_VM2#vc*%F@Pn)5EuviDafG0l629hlsTozCHZxf5tfFVs32vzMXWkKQ
zAp>GsxU6!_VRGEAxpG8aczc2SM6x~^enbY#S^t{H;`q+r4}HN0%PC5<EjP4*T1TXp
zj4on(E-<*||06))g{$GkLfQ~n)^dwaX9fGq1IOf_5kW33nIIoef-0{2C6*2x5Ea)g
z`GI#GTvV|QWD-b_btccY;Wj6@AK!g?<$?&9F)IB^FKa<&tDTa9G&kUE3Dp2iF?bw$
ztlFQf1!1?tih}R)K&X^TvRjcjsM(jyhP=}Rx}@Z+W-uRYOXd8%X`3WiZ79u=I<5(=
z<O4BtI|#5@yzlr16=`_h(a<zzpb5u4_Y1ZJ5`jNU+WeTjEQAkFUi!7F0qYJ_bhMTW
zf#6`^r0@ngz+S#=XZ+9rp2i<e?s_87az2ZbnyUawrG>ngKWKo|;gO!>Q=%YWgvH}}
z${?DQJ7Mx&1N`a#)yN$Z2g$sx>nV#W;OOV`@DGnBd}vNaJtC6O@W;gV?+G<XqZ#^1
zJ7_|;^(|H2Pg1}%cph6UqXAid?UatEnxH84`QnvlGO#}?Aj{x`CR7BB9~RxI1?xWS
zdS&0d9$KUd3d0LYka_a@PJd+*`1`xp1_>yD%HYO*Qdh~aaz>?6Uqc%-+BSPc9aMs*
z#L>6pOdY8HeOUi=5E<f%xv6odRiL0isH~=x3d&suC65;<FyGqHTl7^G+^^z9uQz(Y
zvoFZh?Yl16#+!By+p2@K&eo0J{?TE<Kv}|HP7eh3R&I@YsR7~=7xb=<=>st~!*z2P
z9h4f~M8RGQOdls(eCTGtlFgi-zBdD|Cdkd*>L9^RnJ1~AD-59C#csQo1QWiG=t+76
zkm1eor`c!RnZVjmo%w!#O=ldB@<jDhpc*ALer{w!xA@S;%|a$1DxEhPxLp@a{P3}{
zMJ8-hilX<h%%IfQ(A6lL3NhKe^X6Sla2^YOdn(xi6j*IhYENjeS!45#i2x?_c5_fQ
ze^|lG^1WQ%H}v4gXs`L*Gz0K56nXU}6+nsFqaMA+HTzQxBXa#2KuemutCYh6k-h50
zVrzPUmLsFXdg<`-oQ;!wDjPmAMeY8W(ZTZMbHxE;8hm_We#mZ@H3VEdV;9X&hm-eM
zlTNl2C{4KQbb8tv=8kdMv~Jadqa0-@M?nkJTP5G$_pyPl(lFUVGa4+ldY|qeR0R~&
zkhS5O4UA?Ko0Wdkg-hI3bVjK>?50YM4&>NCr-OIMn57Ps4;K7Z6qSS&_X8Y1qHG{!
zzV^$uP%`weoQ3QHi16sH>_Kfq8%VSbsC7S0f|R!dR$OnFup8GUgD-xxhTFMzMK+O|
zu=m3Fpz}}<W*wcI^2oy)q<$TjP(GjzeCH<O-^BFb2lEw|bH1=)wSQaL#yzTV!9?by
z+|_A(cFV^s@)kC9ZH;7Fv@1cQaq72|J*)W9!hG4K=PVF*nQ!b7ln4Fiisz5K=0?@o
zjRz9wEZEnh6t8wv2J$kEj<=uVLr!A1jF^Q0F@nYe;tG<0r_0U~ya*^&AR_3D3as5F
zSJQn?G01;xcho#a0GY?`_BjU_n3OLMb#4;^&Q+e_0YxIh8IR10?XBR}-wV7al=&fu
zT(k4QP9mB~JE0o6+Y+?9-jxambAkEgM^Pp=L}Yo1NxKwl0n`6_&3)aMuy-}D9WXv3
zD&k#NzO}*}OnHCBf3KOs#B*#a3(5pg%xA}q^8;qEKGpZX%nyGs<2wK8KnDSo{6U)7
zLNbHBoeO_bOuMmO?bkn~MhVEY{jrx!m?^Mlmw7B2UtsBrT7F(P3Fy)GiZ5hj0xqgM
zq9QiD!WkM(sf9iSq!B#DcUZ;*&Yo$B*mCz9o-6QQ>v?km((Y@&8Wv#;(z|ceZmsFZ
zJ7M$}&5(dRJcmC%{b~ee<hJ3yz7hPA$xoYVM*{kj(d0dEZ3O=V0096043}p-)qNO;
zZO6<eWUu3#<4hyu+*Y>2gM=t;DV4I)FtQ>mM53YWQnE__U#0Ab5)xU_va&}W@9#JF
z=N{Mh691(z=vzI5%^e+i9hiVaCj=rceSfMAe*Wva^L2CB75?)kjA<O2YOp+Ei`Rx_
zd7bKgNsCxp&2Z?RU>;<;kX_Gyp8?~Hw7kCtD_BRYkGHfYFWS)O-8HMsfH@0UE&kRu
z?BX>2W)?didd(sy$XiH<j{}}0Wt$Dm6*uj%&c%;<E2kb?(&^C2<N4|Q5DU^2cyK37
zTL2k5aCld}rU8GweZzJ+Hgs)dAuKdW5V@`Qj2?HTLCTX8(qi81h!S2$e8Vq<((OLu
zBWI|P6&NJXTFims9C}NsKZMZumr5aOG8Im_tgtq*aiQSP!o-*XVKgtzcDq!E3U|Ic
z@$va`qv#sHyF-6OkoUS`u=y|rDi@NT>>S4-QSmI^vr=McYVJOAPNRU%Npt;?5MD(0
z*0zuK5=Vk`5!x<03jE!J&(y~AqjZkK>7aTEbO4m@RSQtSI^E7Sa$W$%*M8wDw3I?0
zo}EneDIr5)#anTnku4}HEOh$JpRK6bt;+AWJsFgx+tUJ9giz9(C}r6S8I)+^VgHJQ
z42>o^r_?1y(9p+Qx>(LOl;&V@q`zGYV$Z#B6tNOTTh%g+sKxR~iKkF1;)xb4T6UD)
zNftxTTiVF}lM0BiC?99@NDGckIUHA*6-Odv<GY==DxqlumL`QJEw~+a;7zHoBytOQ
z`uCHwG8)S-b2nor!w6%S8gWAk$=ePQS?{T!b6@$!Z1$63W1q=&La8)5>t+>YwxNnj
zgyVU)j+5a|xYPLibF%2-xLCE>QFX+Izy9c;Ed}l#xGPq&M-GKw3L1XWr-4)*Ha^<b
zQ9yj;!#*cX1>{Lh!7DgwB8?IDCLc>GNW~{Bj?fj+LxJl$U5y0944C-u?i3YLEo-DB
zEtJsdz?j?jbxG)Ku(TppK?5Ukwk9bbWyG^`(fG#=Ej0Zu&3rkN4t_`S=pQ0f5MET|
z-q~I<dUVa;^S~_z^nYLtmwKRz)ZVZja1W)Rh4!@|UZf4Ft5wfp->M;tv9Kp`(-icO
zAhY``i!Kz`UW=dV-|S~wW9U<JD!LT@I^EDi51J#JyPdvkpjn}3LGA%m<YjHJ?$Nd#
z(k7RkmA>H7BaUAQIp?Y9=BU!%0y_if(3Y>?U!jR|)z;Z+EU4(Ho=|J^M?<(%b3BvX
zmw*an@}E8!rJ!{x&SG|t5y*8VCR!{JkWq>0My@Rd^(;ztnzu8d@)lt$(S?YpgS9~$
zY-E%d;%{Y{4p88Amv`tA5xshv?%KA6gx-xY+HiDZc$s%zjC_WOI=jyDXuQ`%_FlLU
zLX9!JdY`QOjzC1+VI+%z-5RLetY3gl)dYGy;oOl@0+N~D!<tj7iUentn6v;B*yYyz
zb$D45y^iGdBdjVR>*i~xd-F}e&zB|fhqxv(<g5Ccxk~{xaY`Crtu=wyMy@S2+;}7_
zbI>2cWKhIDi4eXD6DaODR`9r69W~y5zWVdA1oG)ENYlAt0_KlI+}h*R(1uf0EY(p2
z9r_UeByhh8aB`{Hm=INwwDafa=im6zli_MwtgH$2KRi@4|5_PM`(GZ@P~}4A-*!=z
znvJ0>BSenrqJ%00dhc?bVL^GP@_*O*83QZkus`p&0xIBQ1V;rgVg<OS%ZGT4LG<Wp
zrn#g%nye>W;Ax%0Is#MQ*4zd7DfqqT`YBnITJJnZSs1}y37+oi&;z(9d{JoIkF6*y
z$*G!6q8oD$KNy{HiwP85K@eN4B)T`Zqt-j-HI~rY_V{(95yaE)ozHU=N3c5Z)TcZO
zd#b(T^Vh{4ka4BL{Huj1D)=nWFMYS1*|gd|ElSt{2cPVf^*JVtV#;%O8K&1VAJQiO
zDfk$|t@Z)lTE8tQy=pAU$G?_oW5jy@WS#+ZiqCB9+sBVQ&Ycf>uKJXDCgemtVMHIk
zo-5t&a)$>^ShM_!KXQ{vFvIJ55%i(K_f_p_8aI+NZX`Ep=VQ*b2iNC=wgb6PaqBui
zCyK~+oRz-+5<AbVFKcVjgU_)Y^fdxI>OXdk`&2+P=2F@5>AA8VWX)VlaF1g}aw+dQ
z7b#uX&0Vklq+Hg8-fMeiB$Qc@lZso}<jGzv$J6wd>aY&59f=Al9bU(XSNPxa4h~{6
z?XMqLTIxU!A>b45&?;uS{-t_p`v_L$+t2;+i8d6z5Z_y;w}QC_7M*uV{f>1nCY`>g
zs0}>cymhlfOIW9rN>KgE53D>nJ0Lxc0o;b|d0C$pF_w_O$=6T+!H7EQ=aTpsu*fIg
z>npH`$#z<O@(G*9K1Mx{3A##$=@q4k(TD|X*o3<*&~6s%y)V3bJ0~5+9Ut;qF%~fY
z#IvUc2y@u<eU@GnO@r@t&wge}FJMcr<+$c$7BD+D^CT8Q8ax=~7`Q=S!0xS2J&jRZ
z!Y0H-EdOLsA&#~F(1QyL7;aTuy#-dVk)cYLOR7}h9cH~W{C5G%wt8)0b8!uO`|xx7
zlS&E{eDI*MWiDc6T4-@*;2##tf1@wjh5~<7kCpB@x`YiSAK_uGU_n|cG4@=In}2xh
zBIEtRWlY-fbacWNHq`fNa*HPm8HW6hPW2_MV0xF%cF9GtBU9_&UUbj`>3xe0;iIb<
zE)vi3Ly{9&oJ%mOj3z;F{iK!S@pbH#oUW&93m00`wY#G9nFysLTdsI0ZeU7oR5hV{
zIP}9@GonF@2-cUXzsg=^LDBI!tV?%!k!ab{Uf$~j`0VyJf<1#3iJfwpV6^k2VDH|N
zV@sN#EL5?T{+10{X_FVo#4U)+BvdQhR}&l^4*Yv5!hw_||Glyv6ha1Gic6wD@UT38
zm3{pRCkohJ=~ZYhf&>V2b+|Kl82&-$j1uQYJ-U1Y4K1Q5;l92=C^sI$lYhM;ci_-5
zy2>8M0C6;ZyZ*t;A`Q5)N8y6lGhS5pHeoM^i6r{+q>$&hrv`KumbOGT@S}#yvrE~!
zTalMvtoD9I4JaF6eBtEVf}Za-vuSXZLD{Ll(ubDRfj~*%zxPTAUD>%*#hbqk<(G#}
zC4N^2@55Ch+|nZGQPw}fb|D3nDpA{e`Hwn$40-?ZMv^F+Gg`OLJ)($YR~SaSg*D)=
zr%F6tT^tn)j_nBktb|yPDi<ibXn^IC-nR>b5-8%Nwaz|o6=Y66(^HK!KvNaww>+0Z
z!Wa67b6C|-Z~pN1V=j1TX)5ODelCrQL?&CZYc{#$EB8xvn<j)4*lIThWl`YJJYQTC
z9tn)_E+3X503DO!>&MHZhE=M#^nL=$<>RN|_7GugFz(E&76sHONAXwNNkWCYmRk7x
zNT7xb8MPKwLaTSA9o&gz)Mj6oX;MH2y%fIg#AC|H&0S{kY$OGls-+j~8>PTNZSsMe
zEh^}rcT~Od5h^Ous|yuTpuwR!TS+HvHN?5xVkM(PLszpe==sLbAu!2*)%}h-($@GB
zy)aHgBi^1vld{^-Q5m#t4u?m53%k-i&d`y+z`N4PJ{?%i%&b`P(L@4%tB+%v=}0`W
z?G{^|9wZC!*9a66kSHIkpV)UgGVX~z{h(GK^n-jyI@^foxAO1NwdZtnwBqP>$wotv
z+VLXbR09c#cMci1n$uCHM0HGRw-N05SCT}E*FrAaU)H|7OhXQzvxw2h0S;ZWt2f(1
zM)t)lPl``c(Xz<>s`5R?Fst%ezubn5S`}`Y1W8a(1D<o`FVO_J?mwMe(<h_)zn4W@
zxk<?T>R(#w;3iKqJUG7eX`$UBg4etf@TgIjOXvA<Q`puxS{zK&LZf*hPh^Kx5xZON
zs!)q5T+)s>7Q!H*<1OBdHi8lo4X#z4+Asyp_O=g6D+Hua#_Rn_W*b_OeS6-N&kPP^
zUlr<!(L{@ydtFI(5~#D88!tU$3M$N0kJX<V=s%-S5%aA=$fUjf?OdfP{9*q7>p)UR
z23hAWY8!B(^O{ywLO!N&(@R~S-$NC79c{<G%v;3NuI2ozTQvc7-f^?&aAoxG2=3Wz
z_8{hWSf%94RTKE2ajg17ks^A+`c_^2Y!}mUJpXGrj|rq1zYlp=E06rOvzveS{9#rI
z(HH~K#t_#zS;cB1iylhXxopW=U=A=i7F0Nm;o8C@_t<$URQiTZTFGdQ*{K2HWf1^3
zRwplA=od#!mb%|gQY?`AtY@bvCjk9{*mcuY5j3rJqeA%rE4Vs+G0zucf`i^x=9-fb
zvMpB{Zct<cSO}|_Qa6GZwKK`@+xXCIXhK>~ARBx$R1P?2wgX;=XYuA8;zo~pM=}*I
zvq9C#*h$85LkM?&^t|&pJ38Y(*Z0wZ4PIs)RvpVUfNq*lcVO8D=2XQ0WNm{L-pSx@
zigoD2Kkfu4TZ?6^rSPiB%uQA>MqYf(E&5QeZu}`U=`S|86umf1U<Jzr4A<|x9duTn
zez^7bHzqr${dh0N0$P3j8%OTxLDT0HxAn0RO!ZG$|6_L+co;o*>e!+#49xH4^n3gn
zGn<_53FKmdLt>SO&pPM=U%_Q%@3PmJzuwg=<<T3=21m3*ty~8pe{~#~Z!c!b#Va!2
zkv5oef8s635;|ZXyxp|mZyWPOs7+oT`v#Npy<yzqvNn7ZDSKh;-phP;Ao*$#{{~a{
zor*7GiUGl~&Wq0u4>4!Gyb=nmH<&?F!yjKCV8Bm}DW0LaF=qIcBD9KaFu%GwziH~D
zgL7usVabLc%$R6K%z_RJbmxd%RClF=b)0NdN!lOg?cFn1{}izRaY|12)n^*aYYNW3
z$ew0SC&d5FG-L%nuN&dv9yDm=UC@p2nq|IGSS@?^n-zj$iJYEeRIr}lj_Q-0WBOcr
zCVTt^8*Ir;+GBZ!3Z;ozt$}^>%wL+1^&Xb6!|5~bDkkhyIAc|Er||Y7v!(q?;+K~k
zK;q)|wa=u0)DfS1ey5h1AqQ>*=g)D%i*6IXASwmAcaF(MIj%C*cp_JS?BWLb_|KDf
zbI4%(>O@J5-8z$#y0W*o69>%xdfQ*$w19J{ykq6i1~cpC_Peu}cp*zeB1(j$1w}^;
z@=7{bKycrGi=2D;A^mcmeo#0GwszVCrn9lZXtrO0_CZ0=A})WuF+>DJ%(lK}!ww5p
zTR*Jq7J{eSlzZ50h;Y72tockC2biU}oQ#YYh9ZsFfMARO8_MA)EVQ`5C(oY$<%kI2
zuV?4>GYRlj@Jxludv5q(*B15OT?{7j8xxJ%G$E@8|IaL$2g=@O9$lChhYc<-pNXTI
zpts-X9D67qES<U{bhSbf4i=Ah9uU(6z6bjr_azFzxiN(&?Kii=?WlpyOCRuXyY#5F
zcgGfR+vrypE0BSFopH*cyLkA~qP6?BqA<Lb%n>;@v<-F@9Q&3Li-*=u*3QIpA}~`>
zWY?ms06R*arE|yOA<cZa=EImMnEYJ!pZ8M)GcR*q>4$jW<rhd%3J?dsoOdCY+m)bZ
zGOM{_6c15x=V!!~Bq8|Bi4;Ri6`*}cQ8Tm91VaC9D(j3CxQPCC-u+n>eiOFNzUb0~
z6k0U-%aAmz8Br?OL)GC`{}?5GGoRQGC2@<-%Yt`ZN5d5g9*Am9sPZxqy!~9Kj%mt6
z27%U<@>dgV<091^OG!}QJvZ!#6oA#@f~CVtBDmXTbd<@EA!91rr+h^bvOd4?7>v<^
zJd60&@uL*bqWTDXn<#^J(iz@V6$<P<TM-g=oC<~blgV*uDqx|O;qSam0l(J+GYM%l
zsBq#=cKV|VWg14ec0Q*<r1;a&f8%uUIF#J^%t9S16o@y!?We&_;re~FgW3@B;ML93
zIT|qIdottw2n`tDcOOpS(uI^;OG<*{c(@W(5OP?T4ik^8i)EYjpz0il&*CQk^NQnH
z-JIw!@RYG2{7@hC(vKX(Xhbl4;oOx%rbBA%ctKx^A+TvDBu6WfU^{MipusyD95{Vg
zZO3IJ$h0FhCJm6_`*cy-V=)@Y`5)C;BLgJ3eogw}tp)bSmdtj`QsK6hZQrnvF<dBY
zPsiWUf{RnRIrVSJpeV)~)!k<dGXwN8r7SJztMHDT8zn-^34R9J<jBuQZM`R~w4kGU
zDK4fQ4>+j2F27}yQ@QOAo;@OgYTK>C92+&bgl|zu@;8O+e~$~*cMyRz^1OlblM=Yq
zmb38`nL^4nQ6BPB0w~$bWE=F$L55<hOxp`n;3RrDcY0~U%Io(+YKNsjuPZD~w8RwN
zUo{+*9MS;kFFQ9@&Wb>hT1U;r3#MQ;e=LS#q7HEp3a|fI@PcdkuCR-AQ<$+FHFil<
z1vyTExD9?*c+30YU~RVv;O<vw5jvDXWuQL#+r?RCoJIP!3||wN_m46&7FL42Jvp_K
zx!ug7>q5_l7L1`3uH0>NQvi?o%4vz<PE6HaQ|ZnHW7yBOr4hG(8yJ1?DeNTwz(ymd
zTyQL#d1LKsAVFIiI;no^S5s!O{5`q<E^YF0+sVg5(Ylh*TKZOW*VhFsv^nMZOB}%E
z2anDQ_=$mpO~M}U`eiI?XQF<GA`|K_ir9qo2!qbaJI)metC(JKh>6>FBM|lV#~+;+
z1lo=gW^mvdX7kzK?fsq|KulYacYeSN5v}QVfmLgm=bawM6PFD^aP}atJK};~2QwBz
z=o<FAI@wMBu>qvrRy}yeh#l%r<D7O)tYS}_50>8<*N3H4TH#4)78oUuwcOvfid_=w
zl1)+5hmcuHX;;<?voG|9SSNi2^SEf~8*ySgJere!p`AC+jOL8cv@lx6B*cv?xoY%)
zO?*!}O=pG~XSd=YZo7mzr^FVQ^XWmZENi66t)EQ6rb+vXql?%BrYTP8pe}&@zoCq$
zBg|RXzO?dN3)tC*U78!ObYS}O7rqp&FH9ewi<sr)JoX>)+OZWC9njV{cF%I}VE&YU
zN&mio9^*VgE_r`V8v>+qy2@5+nf8~va&N56VcO@9<S~~SkSFiIk6@OAH81}-zpr)<
zW3;K(OC4u`$-s*r4t#I0gWZ95lkU!8vOJf4iGy@l9cr4559z=r<SH`RE9S5?*Rws2
zd+3|q`g6YYV>fnf^~IRg)ExF}`$PX@pJ;Gvb(z-sq#v7CZsz{--#q3UnkM1sLIWuQ
zZND>8L)gcmC0p&Wd5rC`_ruvfDvbTYaK;rQ*t+<j)^gqgcC_sBErt&jS~8BOM(BOV
z)MSnXZp18N$L4g}Ii@I(Hg3eR@n`~jl2KvndwU7v4e4=rx=4Y11(%j`m0#G1Wt3#i
z@G>@EDR)m)m;y~7y=Iqk|6ndd^+GMKtJq-VN=J}A878g@FSv<MV?E~|$<J-9Ve)Ga
zrIW5`fku-{;M2o1n0MLvWY$fey?p3N*Rkg$Sg14{CpFGujPZQlyCE!yH18G9w?+iq
z>VxucJLa&gU&*Si_gT@|gBjl=O^I+9cj@hD%RJ`HiN#k<u_4JX?5Z=#1W@gaoH=lQ
z)Auz$PW<%bKrB0WSc1nl@0=r`;EwS!HuK=DB6F4#Mcx{o`Oi!f9(xuuL};s69pR(O
z$Rlo){QS^DdjTFkvPF1!+OA_Vwi1WDvUpIhmT{l8I39l9dgFKM#s-E4<H|Fi@u7eW
zkxi-BfM}EY7GoY(6w{(3*vTn~L=RgDTH!QcCF?FN;~*O{yHXq0Z6SnS2<hf2C8>kt
zDUH~tgX}29Hlb3qL>M{7U2CsUQis)NukJU5aU$D_AYB`pD3UeM;g)`-2ED?wdksyv
zQN!&5A^WdlC}cv^vfzXoP|u@xPboY|mPfmQ@390L%U^rAs-_0QKazuSc6{it&MZBu
zR0_SduX13URfXKfqEA-Y0w`dYV8HVpX;kmW!Nc333d56L)_q%q(Cd)V(KN<3wA^GX
z(f&pi*!S~GJDn0nZ!PAvYv0HtepPFmYn%0Y*HS*3O^P6+5nmeJOc8B(=S1<Xs6rjP
z(4()3Vn{{&Mz!c`B{UBa_n(=m!9H^vPO6gxO54w-@y=ZZwRQ?w<vmk_vL>fS*&R|S
z<ZOcbfRGxpm8ls@cT|V=PZwO(?4{9wMd8rupgLOp$$nf$Ndq#irX}p6WzoCv!2Zy8
zc+`Hb;Ex*t4<d>Uln)bfXv7fLx(yLf+Cvvd+<8s-P~us<P_2N@2skz5ydxozLy>zm
zd5PfsyfoKXNC~MX@o-vyAft-v!JCh#NN~pMt>nHSWyBIAP2KgAg8uw>_~@Jj1sI=q
zKH5F0f|Lptj;wy8BG-fKBkqT&(EM)jU9X=S3ObSJQT>L7JhS!RwvN)^s#3|<oipl)
zW@RoR5JN|`l5;$|HyFTS<H_oH8jmUho60Pe7^rSPEnYN02O3WwwU8duL_HoeveH)>
z$U34q1Pj%JivHFjV-q5hPfA-2ddNU_2kLjP-qi<r$@aenVI)KoJz~%o%0S$n_|l4g
zL-3V2W7i$4g-X8<zfE7Iqt3wI6f-F%xIg}ZUvwuUrKqq82W2{9tjiTC+ySVMRtb-r
zAfsv}-QcbBR8)1YaQFOOV+iwCtpQOA$}X}JnhT<!Elw{F#6+9Gks*beZ`>4gqqgX{
zc`yn2jI7K`?lgr-138l~cgV<5aj=IwACJx!ep)B>m_l{8pvI8_EmX2MGASrm6?ym0
znA+-_f!`&9#ouNU;$@zn`J1YUtnRm**F0ecEK-ewQT{}vDB*e!=PZL%&VFhQ^EZRJ
z1C*(zK222FS=d*L6GQmiwN_7CGbq7XHt<T~QP23y+dtoVkymO?*-0)lkpH3Wt4>!(
zL`(aJ>dpT!DG_G@mItO_bDUM-j-e{j46>U%6aO6x44gh{K{ExBlhPbtnaXG_BiV(A
z*2PrsUOD}~e3RD^kGI^jP(-yyxw_@^XPDwX*Ii{bP2e!T{_2w&Ig}Rtsj)C~mFfBL
zmU&vPF}!E~TO8q+LHA>RB=bkHf|RV0_yuueAPv2DWlfbt?Gtyms!}-MXVGs@*+hW-
zO|;wXj$-J3nY@9`1}DV$4u1U23t(BTN5bzGMxxQKY_ba65NI8jdUY!ku;bI0)};hc
z>kg;z=~`}(p8II^Z_{Uws^LY81#xKOWp!S_EH_m4StofI?|{dasN!50JK|>8U3)Xa
z4K+ss3;sJ~2$o+O4f0?9!{$f&&UQWE2Jx=+ot~)%pf?(y7UZ^w6^{~Kcs6|}<2KKa
z_GW#^lr3Eft)0fYFT8H<`^5#$BX2qX@#@2J9K$m%cMQ|{7@X%9%LTHDCxVQewu9CA
z!S@cb-PrBQXmcW!3yhszHup*oG;+J!Qkx4gtFb+ItbcMss_3VhjAdQWycdR<dABg-
zPg^f<ujPbW!WwR+F1n!5ILoRv($D;|Q;*D_&j}~ZOvO5CbRfj$V|320G3J&HndF92
zP8iph+$d7gfj5OOq(5H&#kBop)LYWc3Cg)&N0*YcVLc%G>(2+%%w%yNnbV3~&?LL}
zWjKd6*!?-gm+A1Ad5G+0?{}RG9B@%P<-!;sJUg|uu4|s@dxWx4ugDGV=8DZFD|ASA
zuaY*<TVnb|?7be<%MG$g|3Es74%Oc6JGaHIFpZCsC|DH^iYGOzJUHl(X)y5hQTrNm
z*~T(AvyKPsofEkOl4!7W!VsS+w!!Sn?hW3zIdHXB!uT;o8eD4b^j>(x0*$1Ojzn{Q
z*yC8lbgZI6LTKyL2mP!tK4TF!)GPo7MU);JM=H$!te9C7Wrv;aHgR?rw}6&oitUwI
z3hZ8gSa;Tq185mqQ=H{O5HLCAq`B$2FK_ADAAigVZk;j7HZO$X9bt7(f++>uP8t$P
zvfL0|gY*1vSOiLi;@jAMlA+B*s%SkI2N`Sgq?;;Y@YCO@@0%MLw3IyiB$>QWljk>F
z7%2{eA1>BC{j3Fec2!il#s`z*!Of~1lCUK--?8|h76gu{9+2o4fE!(yV)=b3cz&D8
zO=i>D%xO7}XTNO$MdRK5-;YQ`YG$C|SUCwq$n41xT*7eSF@4;8mn^hhGUli~M*=>x
z<e1Ae5jga>xJ$}I4nig-swZ}l!0_A|sk(EbaKh%>zG4dn_(LwQW;G=N&pEEu@(*HA
zh4Bc#3{ZqckL-yV2NLvEHw#u<NWi{8H+9l8B@hyfv*Nx?f(FE5ztkfM?mP^clQ<Qy
zzxOL`wu1y+uT<q+uWp599o1nkKULV8nELmPr54ol8QAXKEd$S;RbMI&tAUPtbKJLI
zS`dG`NSQ}>8@Nxpm5=&pz-;rPz~oCZbh$=bzS}Mj!>2RXt0(bL<=%X0j}HaRCgv-W
zixr?r@8pTSVFb|n{(AX0I~6G36B=CKDZ;WM=lBMW1Y`bH;$Cm4uuh-&=KX8aBee45
zwPUs5KaW1E3-@SXwr}R9qLd1_+ealf{3XM!JL<oK^66mzhtX?fr3$+YztE4}rhu-Z
zL}@`21KbN^QbR)2;C}!B0RR6Cmv=nXZxqMLUfFwdt!vzS?fpG2GC~<qR7R1A6m7{*
z8D%6Xk<ze2Qg+GrQ3#cgGDCLuj;x=5pMRdud7X1UpYu*D3p{>BnF4!UC?C~0wc+eu
zhZA|(3Si^RnmU?Ffk~NjS_Q#6;5Mc%`u>w5Y?Qi)*bY)aU%BnX%7QM4X%a~7Kb7D-
zS5tWACIudOnWYa!=|gxz&DgmwL};DPwQn7v!1(O6r;&mocyfnpbU#rBld01YPWLHr
z`C8@0@kS$P?6CK+w^4zYwC8zN*eT%dLaS(d3<IZQ;cWOP75Jwie9+#S47(d@$HIdF
z1U?kw5*(^v<(Lz&H&YFc-dxgiCYXSn)%gfIAytsj{2`g+tOEX-nJeMdCh#NN_$uwF
z3f#Rp(6U&q1pO~c)ZC4z@PjXdY2myIOddQGeSS$EDu$9m${$fdJ$Gq>@vAb(%TyLd
zauMLxpZk8xzo;<WAVc$FiU@S{4{|+Kq+wb4`cus<Dh%nXq{#Ow!QY|cY_DoDa8hb;
z6QMDM%`5tzM$Z-D6~p7h9Tx?mo%}*2W|RuqD4LLHtpK||=H4yK;(=dg(RX!9sSu;L
zFHX2e4rGe8Sp;9RgGYIv^Zp<zJbCj{BmW2ixCAVW;<XuIJ7T1pS&RxQ*~|skyJaAZ
zvAl5Y{U&xe`C6Q7l?folJOSE6(hz#nYWg88Vpl4T=QcZ;KpFqT1B2C)@I~iRyZ6Hp
z?BlD(Qm=7<yomn3zawJ6Iq|UD<Wmb);hOY0{1SkN`+AxsNd(AGo;xWfzrazmKE}uj
z(Ea;u%IhbBKsRK-R{N|KUwb;Ao~@0+<V<g`xG_IORf$h>1@_=qt4~^2A2tSSPoAL$
z7G4k<yV#*uGJqdFMR=MTZ3MgJZeWr0+%Vv~^+Z~65Fh*S<l|<!A@rHXDAOO_4c$Ib
z4`;jwag3*z&3?uJ=wppS1zFjk?E_cv>yqDiR91;fIne;LYgHv<IhnzYuE1qv-vGW^
z7-y{zpbwlM&b})@!2pz$;%ikcz4+9#%BP{FdQf%l3G-nNI*8AB+3~}=6PG(5njAr=
z2Z~l_-u?bZ1C_L0L0mT9anBEnESt`{!0%$DrF38mOQ=3AY{dKpmrq$-efdfUF8D{3
zrm3!D?L<{EQ`H*$yEUQrAcqbdcQ%-n4OztomM;H2`X?8EUagQ<ds-U^+tq=t5-XVB
zu+X26<<BsDq@bzlrxvs^8GpShvxJ>1J$z<+sv1j|Ja~+oss#-iRNuG@3)s&m1>qw6
zP1xOnv&Jc}HDS%-O0ymRJhqp(Z%)Xp4NFsuy`&(g3D=k=x5~$7F(@v!j`8cjKAx2j
z%}Cb(UO_@4S!@PNUF7$qT<^uyFWEfr6V!kf+izz)DyOjRj@2t4ng%fMLG--wzB*)C
z#`j5=O=9v?>tUM%Ls-*jn)e=Ib=aIwa(mA*iFJiK%lVCtU^&H4pBQCOKx6fn=#PR4
z46|VN`hI;JYkWCpmZnI7OzuOi`%)*cbnX2!Z!{(`g*p)zt5Pz^&N20yHcep9&ui+X
zY)oTs|3aUhIT=*g-JTB_Ok%EYk}sB>ox>(Z*gsVkk$~$eo2UQeB<6wZrQ!ePvHAUM
z410g6!CPpO<L;Qkl$VQrjnfu)`jgGi!=(l<1e9l2Hm9)~Hnkx*u#B;n*!gT(szSf0
zl(wYDELON_rOZSAixFNoR@29*K>Ru1b;`9lEGIxDnMzv2>~{TGk=)sT7dZ_H-GF)Q
z_W9H6MK0@@T%v1_y^u1HRmug9URl6+<@X!hE8N7qmb)!8PZGh4&#m4(e-RUZ@#aIF
z7!8~xvqTeXc6_1vr0w6WC5-a#jp6=lv~ZN<KC??w2|lw#KOVfef>rk718TeIz`omS
z?BI1p_!r+NGbp->^(EcEG?_~eNuBIYCuS6&Xgk}*cybL>-J?r#yTAxd-31q}cql-m
zzwVwl6YJO(Z&-fj8D<FagmbH1^6=F2=gT08Eo{rOKi@o^6-?`N!rk2DA<IUtJ=vTF
z!f80}3U07NAkSn!jL5;olgSwKLs}s5$ap*4=LE_{yNQz*<=`kWKRbwr4pNTsz1gG7
z4c)VT61Dtt@KZNtVWE&72Bp&^jyCYXnO8!$&QufNXW56R8^MeqTqja^H;fNzuLtL}
z1rtCgH`vb1n;8l>t83Mc3P6kLT+baH0+dAs9chSS1*f2slmtH^I3OJVwup@Y)y8St
zO}*?u<8{VDAV&nGGpB@77G$9!%<xo`KPO1e?CBB^6o)$P&@tIrS!mO3ThbHb2Hn7(
zwCwkiV3QdVgVPfr(|%*(({mo^G5#7-VJ8juJnA@4@BC}~M_y;ajt>I8Ku51v2KvI1
z+{R)FF!aXCl2J+kqCEWVTA~S%ID6jgF_Rn^Zr7(s3JZaytJti8y*yZ+Y9w_O$-!>s
z^j=y+5xCHkxJO$@5$1g;%sC12Fq6wzGImo8WUfoFN$3zE$U}``B3A)kG`wgurIQ45
zRj~B!o!oP~N~)J-RstFMUl%IBOF>19FPaWggOriIR!~X=M#7OjBz+ms^fDx!vn7Mi
zsj5_Br3%POI+`;V%R-Xl0SbdV1u_P_LR7^_pc`gzQo=wE4mJ(nCU~m@pHpP-%>^?2
zyy~-O_^Uj$s_@sW9MFJLJDOSAICa=2t^}xgE5fS%(aPQ(A9-MvXq@1x2_p)kaqMeK
zpgl~R-26!sju$%p3USj0L+6Kf_%&sS9?0)tRnvk{3eT%EF}e_`+d9=Xtpe_wT2JNo
zYQg@gRRhTmeYj_#cI1(^8r&Q`pKy^^3(h>glwYZ91WA3l2kzUDKqst|t~yK;{%Z3?
z2c}^luxR<%n41iF)#_qZH#OiwONBdW5#a8%`r`y=GT3E0?2Xh>2Temh(Slu6kRC&9
z#2_;G&-p%QN+N@=^MrcB92LydQpL0nlOf;lhXy#Rf>(0Ent!n=D0%<)!CIIMW#P=b
ztre8OJTpBs$IJ}+wn`j4?Mbjw5P8d}g#cfUh?L1ZH3Kqph)|8F8gPhQ(#OK2;CzO_
zUjIfjP`=uzdNf@Hw6~60aaRh#-!J)Qt~F+Gqn5S&-T)CituDT`73GFLzVY1_x6L4M
zGJAW^UqzTJAry~g(ZiMW2|79hGvE{b9-TQW4^n?#<adnCW0UmfXnuY%1(AlFPPI+~
zw8T{8pS6CA%gB|c=Gd5mvCN0cx%V<4!9RCZ>gqgxq|vw1zlI9IyI6JT3#34m`Ox99
z*-gA{(_rrpG8MF6XRDPti^I$F=I8dkp+gba!aLIp6Od{(KXD~e7{Xb9p&ofA#2_wI
z(Zy*30Ytfn1JnFKVzeFUPGCXS*B89<Zvcqb%3tcg#{=#SpLDsT*wDFq!o<l<4E!9u
z$A)M)fqtY(qKcIrU3<+Gmb+yP2UR!TSRG~oDfg#}?=G?<S4O4OVK!s<xvxpY%zz$@
z>!nEk@$5(^Al|}L&Iq`~|7I7Gx3Qw-Nhwwzc2ql;_b=Mo5NKW{CG&NzV4JMY{LUim
zs6J4L@!n+vC=3-#-d{F@y)4_OXZfBD&1t`|C@s;4WP*2Py6tZ)7_U0tc7zT6qY79F
zuj+wcn1}Q?y*li&kp+7a6B~N-QZbXpOb?o|`X~RrtHaq<!wrKzvLeAx&(`r2T?q3}
z6N-`P!?`N&-&1?QilTxqx_(^Hfs8z3ifr{5UdM0W+jol<1q5_DB{=DT*1aqXhSXV{
zbC=78MFuN6Z(cI=wn`iJkNn4+<GF}i_+4Dn>tsbm9obobiP})?d!d1=a0QPLaAE$g
z!-k?B<t#H~XhG`@Z5;|)!z1G~hstp_6zSC}ULm9f#h>pEdS-3l;%{ZZ<P1CNRyY4P
zo1zIHOSg_Lo!rJt4SsSzvE@KE#G0jaF--_~c<s=0c3Sj!iD`4~z;5K;s{f}dTLVIa
z-&;)|-G$iPw^gsja-!Rp6Zu@VH9%UgmZrRj4vD0*Vec<+p^^1FQ?Z}b!CLSe&n-p<
z6w$Z5uh4`WiMgyhU+__f+t!KI*~b|XH}`K}PXZ6x`ys`5ACo#r^c}I`{KkZMq`$wa
zlHx^#-E&u+3n}o9^^RAP6$_%PbfAB)!-sZ_iRAUWQ9#O$mae^n6?Hn6a|iqJqsx!k
zFYf2s;f52BN1d*+qkSwbJX@6l=w)&7n#>n6EO9>@yI`~%N!@AxcU?gUvF+;+AHPio
z1J_H5A2_(s-CF#Ce2Fj`^++(W-r4_LA6?Z09NZ|KQb%0&5Jepsd6S&#WZ0u@BD*2M
zgOZB6D!SCfks*xTm*648-2wV-RWn|cPcAw0pM)fmcoJUw?;i;~+9*ucVSH%Z?BxT=
z2U18e+Oex}V#mJ<9x5d^^P^0ew%o<n(kS+Y5bydj37m!V`}ws6(V4Gx|Ll8Z5S#Sg
zU!$C47&e$oE-w{A4KyKX9s&eJJ9zrbD=jj3btH>2+KHeV_tT*jN9E9+&YG(Nfn;Di
z#M?;P7DfFAOVOsq@`%NJi+1TP8R+%@tPVGbqcYv8ctLJObhqUIGev>|r<>asb@C+9
zje|o?`$Ck^V`My9vcq$G#}C<8we0AYP01eXAfhk-<-N8g?c@WERy5;JY1F6?hSIcD
zQ0`-8hr|JOKxG?17?MFH|28JSMXI8Dfm>a#3N^sNTSEBRvMf5B^u+Bxu7>_ZY*B5}
zG+~#bMEy}#IYiL&j(gupLf1#icj-UZg8OvOzFZTRN7Mts*O`xz(ZQ!rGt3*bL5Rr1
zbegDu8XKqB2i}v>_ugM^tBkt9`MU4vu(Be0;C$O+eT9q))%*EQy6M61MmttoF(uTn
zuvy*4OhNlQyY2`hefUP7boJ7b5+aTe-706uC~dwdcwN;H%4PcvItz)Ya>(_-kt{O0
znYHC}Kivpe-#+bWHd993BX31bmC1-Zj1uX-3xlsk=Q!>cDI>1APz}3XB-BbfE|Nh6
zxWPBq;V`}P&UmEC+esB|e7?PyRtNB*E~nu9Uu8rLc2%8nQAYUq2e@Nv0#DOeZtec6
zj4n3N4CwCYrM|K|Qoh5XT;ciVD*?(#hp=JMwA06u$jR4E0#qnj!wkoJh{*n1)xR!v
z0`hVeJT>n?1$0|B!bgON1_i0x4KJlp+}^M!ULjO?dqtZXuBL>}8zM8q(-P?T-r3v5
zSEyjGpS5vWLJ>v%J>Qa4BaB}2+AhrdQQ?Glc&XpKJeuKDw|jJoA90iv-5fKcf?$fY
zMO~pBTK1Y9sE^=AqNe1rFYHv9@#CZ4I6^>C{x5y|#o3YfK|d3kdK1`;f22-eltl@I
zD~>iqMntf9YTFQO0-tzuBa3(RZO4Tcrzp^(NfvDv1z{7oyM!HbaFs$06*HzUdH><R
zpB+7nR{*r{i3*IAmO$jH?FTwxi}?1g_!D(bJ6zvab??m!QRJ6=;r+EwQ+W31g?8FL
z48r&2jxak4Bj2-p6O1Y&xbc)xdp0));sFL7Z>0rMbB5ln>uLSC_sK!|TYHQlK}YrV
zH6eafC2C)xmeq+f8#T1bhZ%uZSh7%~E-#X=d@elK-i}*8tB?w>Gz6k&h}FNH`iGyL
z?%7WHj$e+=nl@ZBfM!ZMoxwCG%Dg9M=Wx0mzd`OX#ElH#S-s;sq8tYby2+ZEJ@XUi
z5Y2s~6Ri&y_gk0T$zw$qlSEA4yz9oF&-kvD{LlmI;gJ5MOU&qCebP)#TtBWB8yP`T
z(t`s_R|7}m8IetD?3tT)2l40f>KaM^>4E_DZT;>cdNk=fV0E)_1fNl0x{vyF!1foD
z(De{HG+%j2-GT8BUcfXf^$>L6dA#4J7NcEg-1TKTN|?gwHSO7V<!HmgGmhC3eOgrh
zFp_sxat?RG9?5iYYr~-`ZZhcv4f+wHQIpQPfa_mb>Dmg{g1i~2E%9sH`146K$2`U*
zJkvjO#bZemzNF^NuZC~oW4kY(N#<L@l?um($Ne?IK=g#$`qxeTsq^Rheyvr!c8Pf^
za!dnaFP=HR;IWBkRq-~@ocf3F)q3fmd_n`*^75<#v^Mb-U0d;isttTa!y>X}LLI)<
z1YdY(v5B|Wm#c*+ZR1j{0oG^Es>6j?$Qe)G#O3)C+CzJ25Xs>h$L=i(^v@30l#6WP
z0*&?$B(-+xX82=X5KjU2Q<IX9I=1j1^)O+UNrwb84$!zrQ{YK%O?pMsHoiEr`0$f5
z1JXPGB0;i}4D&kq<71a-P(<{mZDlhfN;K{}CUJla{c`LsnM$;XnaOd@Gm#nbEtXKn
zcYMC>wy+h?GA$AhO4|(~tmv%vo{D>#BrsepU)b#3g~EIqOPRyik@>D;)K}4JFj2zF
zeRYryReb!OpYwV*y3=SFQ8BCvYo7|ar+4x+IMa?V<0cnkHZkdRuu%o0BYb-Edl^yY
z(Poas@7zd=6W>S0Rlw<2#J!+mCX`;fJ7jEUeubiB?SqX~VB`1k%XcvrRHT_^v-*w?
zC4E^@rv0o8OxqhuXn_^^b^Ml<b{9YsK?adVKFUxVn5}pJ8#_{vxWV;-AcWL6Z3-*6
zl|g3EL43S(H(HzOOH|_&LHvK0x~#tu;pgNduC5p^l;OQ5lqMyHGEdg*mUv2p!VAJH
zQPte&^dXj+O;-t2l$LO};wBM3m-SX~aq=SZ8x@Dv-KCJk*auIhI3gIVOVZMZ@*!5C
zlhb>1rO~rdo1qi=M7Z_t;7S*x0J?8<A~JQySGXQ-4858p0_m0G`Jo~~)T<NlHRdt_
zm9eBqtJ^EXgpSoa(iLH3yzFVsNhgm^RdHLrA5ez$u4}=kd_++|&^=vvtbh)?G6pAQ
zsKDu9Hm~Zl;)sw?lge$Sgs?Rg_kDL&0jWv-zLOz|ItOMJMYf5krk|$oQ;izzpH54B
zy)1=BG_JAPzg0oqJQZojg~%XAI&m6Tl0oytDUaH-YG{vrKlkq)o{HwEYwkNKi>AA?
z%C$JjNRWB_bk+g|w$vx`B#H^>$gSpA5uIf8Hiy&ETv!8qJC7{irj<u?wN{Nh2^4gc
zMa$m!geK&CeN(HvUjex{9}j=8ppFXlD1He&S`bZq98~{65ou4V=oY7|ql_l<Ws6`P
z@C~AQCeW^g#$_)ruMDXp>nSf2wH-hCs-6CzV~vO$k1z%?FRP=DAm_P@%ldG;M7W%t
zRt0r#r|^_FsH0~e{R3;i8bZ<PY0HxXDhOmuB3WJ4(UQN6mvfde6r~?9?oLoepY;Fq
zOXX0I?;kpeU)lg}pPM@r>DADJL0Nv+Yce7+Y-;zinLyg*7pqx%YG~3iUe1z+geDig
zOs$$spzxSNa05{db=JkzKGRV_FMLKtUiwo()PSQT`-dtLf5)d^FRO$uKItgppQOUP
zCT*OKfhsyOQ<>E=D2KdEvVvmFP2mZulC^VJL9r?}dgNpo#OxkI(z<L4QaA6F?6*`#
zJUz#q9^^})JuCfZyl(AqlWmoI>6Q|z(8{u)To*!GcjC81E&x$LuD_YWt&$#>Lve~I
z=)>@xjt(9)F<Q}FWNiw0AugAi*5y&dl@ss#Zm}Uo^C%V)y(!$gYRi-6B8S2)Uz!D!
z?Lw_>=XAg4QQ`NOdi|ysvZ!h-v9&g21t0TnB4wCT;at|=&+hBe=!~PMYrpz1e%Rae
zAp3U{cur4g6?KwAFg^19?fxh{U+LGsfx{-y)qmH#I7A%vupQ^+r1oKFE8SCMh5-&Y
zGUp2Th@kp!;yMLQ6POq~%RO;_fG|e|v()Q?$OsRwp+20)Lbw0jSQ^D3_SUu?OB)}e
zKFZvJOG_Bj@k>{WHjKeA(A`whi3b^IZ<`Lo3WnPiAN?t03_}d@q8+SUJNnNlR;m2O
z=%TdNh=xYsT9%x2dy);=iKe<0oc@bB$Is<%`4~dHwT{iWJTu~M&~=;D{EI10XJk91
z8o*kS+DW;O^e9??(IN853U*aXxpld1XWkA@Q|`Z|Ma?pog$BMYW3N9}j->MH!$E<-
z`Am*2{G^1qKz{cUR@4-IcF<K1YC-6y2z3qDUd)nA{l180uD0|9=IVl&gh}~J`epoB
zAjA?I7ce$i<${5A9jI+-k4&?e$E%J0v>&UV$5_}H_4;@COU=NSfo**f=V2V+KJ$GJ
z<D~f#C|s-!*DU+3k7$hIY8N8~{ibFy0adck9szBjEw8Rol=_X!t3B_E@t(ondsyhn
zg=qotQ@Vn*a~CfE_iakL;51fr%J5X^geDO8U3xwk){1wKdP~O`rm)Qq;WEN*nh<%Q
zTr*Co4!_?p=OCj#iRGwRn>T;cfXio@uAckx8lTWC@0m}Zz@GBdzYez4fFN#?PiX6H
z46f#!u--F)y*zmK%1Es`47^>7z8hDLv5gU(-m6Yv+tC4*bmr=y8MQy<#q(P1PRg`#
zg~J3!lXkrERRaYSBy(=9efWY!4n!)JmrP){0-S7G_E8{D%SEb6z74CQhN_=(oWvey
z@cP<xlVO9i;j3oJ53FpNUZh`b3QK5`tmg0~!|Vg$>}HWJ%)(I1Jj!Ak`!wYGWP6?j
zqvfoLt0#Lg_dez&*T*y1Xa2j*k|HFqoPRev`l=sW87^N65t+k68}j&FE!AMX+cst_
z^fyLdcl1XQ<2)v)?#G@OstSx84DUFJLs(Op@3VdU3)q&o*;;m)3MhS}z2`bIjD->!
z)Wj_pvF4`Z0x>Jf@Qvk>RCLKG_Qy9S&GP9ICO8nYC}pS&CUGa`4IhnTmwYng{bW}#
zE<e}RW6{JNE{hS8&6>c>>^TNwTmNESPd(YJI+Z{&7&lyLox)-vZA9hO8g{x!@mRB(
z5;&`jus&9r#rF69+i#23u>%4>W7cjdLbpe{uyofPw##Rm{v68|Chg&SuX9QPP6T=<
zk@OZYVJ(-&J_{O%9Q#vp-AMszo01O&R4if>OkYg`3uvLp`242C2YH}LGw_acUB)7c
z@?=u9=-|QQ?|Hpi@?cpPEEgmD7i&Frvu0qF9`wAb+qPfH0a^SxYmwj@Ho|<@hEmH2
zj&;2+`pI(eskcz#jlnu5uW9b^y_FffOLNXmRuCX5`qrbY<V}opCAR7^9~*phcDH$D
zNq|4!-HTcIXh5qy7Pq{^0eiZP8oLH$!Fe~Co*|4D-b|D*jLCDsD~kC5H9{7ogQWhu
z$wmkAZf_MBa=GEZs2bWORaw}TK6pq0(ZdCP`C*NHybv)cRzn$)foALP{1q9DaP9;-
zsZ)|4qLwo>qF=}W$z<1{M<FxJ1>LB=CN2ngzP|4FP#HM$>rBj@IaU~pm#%2uD+~mh
zv&}A^GLT&6&P(IZ0V)zV>jDZz;rsE5*w2S#;5Gx_*gkG9kTYn%H*P5bF4njB15V1o
zz80%h%LHy{@z+>_+fs1JaJQ*YvJCM3YaL=F?da1Ob6*#d0seAb$-{jzKxR*Fkyzn_
zE63M-?|+a5R#rNnL|a+FDsJ3i92J1}<;9X?adOZ(wX8lqCJW~|d*c>pghBbno3Z9|
z3h-u9)h(=q0A~+b%H&##LaghFAf~HI@P%{G+WDOv<n1}7Nv#%#>$e$8QXVTqP+qF0
zHG=|3HFC5rkfq?ux#c|*?W#bl_=x$}Lq*uiSL9Mpm4+5Imh1sGGMp0m=P(>Y1h+Bm
z93KH$SToTqZdav1+?P4;jUOt&$>dL7%_6{!?11blOLbtm#GqLjO9H>``z{lv@({}>
z61d@@0lM|XMzezySgzatFKt2r&M!v1nE*{V*xvdoOI8ECdgv@-l9WI~3dC6$v_N|1
zWbQY4EpT6NThdZjhRaib-`!2rf=1^X^V~;t;Gq9PIHg(z77p*fbfsMjjz(7~o_?<f
zOU7-Oi;@~7O!_voe9(fHS;wEE`i3w`%U5*Rn*`=*nMODFYk`$d;=b$18164Eo@=L&
z;Vgx-;KT(@$Vh4bO8*F8usrUwZY&x0X9U;f>u7+;x2NyhcDS-SM9h$8=N=c4u=Eg3
zrNH$Ly)N-qD$w(@%Ka-NgB_E$4zn`}q*fx*i;GO*Lg~r(GS|uA+23Es!Ke(?T+zwA
zN6bK_>3#0BI2j~@>zmWg$;0n!CIW%2X3*xb)sx6a0+TDU`jl>I=q^}l;Nma`>B)yt
z*=ed^`XBe4&}R{d3b-(;!fOtfn)%n?^(X`Tqtx`&|9F7D)l!6W!VDhYS(v##wlfDc
zVg(d=M(}kaF3_f#0pA(7cE4r?*xyreJU(UtlUJFgkyJ4Q!CqSyuP1U4bf@2#>tzGJ
zy?k2V@`WiB#2R69{<4r%wJNTgyM&*eFuv$7YzkGc*<6y1q`@M(zpvYv7R9IY;X>D`
z&<k3tGsY6|%|7B87Qu+{^p<gtNfQWn43DT$7lF&1ecwJFW<_SV)XK*Xn852gGNH&*
z01ns6cIR_&Ae!j7W|2C8me|8IU)y+~&yTgKv}HH?9{>RV{|uLRJl0<n$L&2HBU|=k
z^E{6|zsJZ*qL9cc6(TY!WTdQ&sI*8${mh0@O6hxzN@Zq~NLF_C2tWVc*Zt$Z&bjBj
z-=C1H?6*$o0_YKX0&ntg0{yLs^6Y+2BwS|mY}*e5{ZQpm4NhiIw4_8usSr?B+?7GO
zU_%H>eW@yYn-)|y^-uE}5|BH8w%K;P0gxEG7OVGdVdmU={hyTx=<xEssBiiDaBIzu
zB<r$-wRM==R522eTaw^TVTT^n`C3*kl}}*Y*=pzO$~e*0wz}`RY<h4>q_HohvIFZ;
z2q^t?m=mdn26olk=z_QYQB#|davVC6m>=(OpvMOkf0FO(!1edSVl+Gb_@$-Xkta9@
zLI#|XGPBy?Az^;=yW<4zC&O~%U=|0`Yy5hD)lwT?4|xh5?wrRLvIeTe?sA|~wZDNP
z&$OVF*1PCBVHqFc)$Nz9;y_Lb>bz3?TJX30@&L=+8lKm1RnM1>6G{GFw=GZ5go@SV
zknqd@aM9QwRMKIb=p;nCCU0v1-`^j5k9F_hp6Xe@>DUSAlOA(fWP}D7QWEH+qp6W&
zZpXS_2myskoYM%{RtG6xSMSd>w1{s};9%nd0j-OWI~@|#q0}Oj?_LBQ8f9m&gCs6=
zF-P`>7N0uc0>Ne}bM$C4{z|f>Ha9x+pEiv`u^L>@upa$(f)P0n5c%n;co4qhX?(~`
z4G6y&#w7-r(0E7>Z~QMF6qxUFXmp$cN1u;T(|WL=_`{Atb_2X<+UZrBTsj3lp0)72
zH_wW=&!zB+FYQ5#I*<2+U=)yV`8C;egB{Ikj-9F?@}nr$d#U6VGTd})t~_YPiM&G3
zlRH8M&|19anV||Ykb-hcty2l8#!@;08x}<TMrWe<E|KA**urSo6)sff6d>`$PZ&{n
z^eC~`WGJ~EJ)@h%jo2L*U#0F5MY)!RY12e9blMC1Q9a^8+B=U#><0FtSWG}jkBtoO
zMg|@tUwDz5(pvGlr#Kp0ay)fziv(FI5_IqB`Ows%gbQ(A5-7VXg0^gv1Tzu)xCb5i
zQSN=2*G-|4DC->Yk|7frra0mStg8i(i%Xg9@+~P8IxzP;RGJKK+-6Cab%fB*Tf#r`
zku*xk$~@j?M~41uEf#s-gpo_-x5L{jGU%n>1jEk^GF%L<z3CM!irx&#;GP<?D8uFx
zr`i}9^4F<tXH~^ew<4L>|DqgPmS^~M!j=N%16TI^iWW!eR||q$-^rsSIR%>OHVQb&
zJb!*5Py!vW9&Oj&P(Uj>SMTxpsew~XpGp2{Ni@7OX$8tk=+qY;qX98>s7-J?*Lgw;
z&CVE@`W;Y4gEfq-wKM7v8!0lUdR!WrvbuL*hg49uEK6Emrv~`RZDxnM%OLIcxC(EI
zDoWE7V@~VRgzXrz?$;wkG%0P@!ZxCcT1jfBQfIZmC%h@R+DsPh-x?CkQ6Zs^0z1WV
zLOK8(U1P4Ya_DSR=t~nT5^Ce-oD^`>g~a1em7SO5P|Il@wmu-C-(sSnxmkKZsnuU2
z704qC)7O1QoFwE$ne4I|(TAH_nU?|#6cD$<r}XouRngE>tEUcfh9L4s?bzmX1ynuM
zBNTK@1v!0hc5rmZfOn|={qZ#g#F)NBQKnW#BW#7Qd;nnh?yRmNpCW2#fKQgLipbZo
zB-W!AAj73(FF%7KdZN;u#&$^_*?S(=Vx<^CJinrq(`N-VsTPgO&d4H`HOY7RDMsKt
zP_<s@tblG&xdflrmq8v6L!X~)HG;vO0{;WG^2mr1>F2p4iTcNVxTF3VL9|U^&>w1f
z#Ech2@_iIXET;X5BranJdiyfZcCQ?YZTEN>tRsrz&X#c&a2kWuXrH%+s4QwrU3p9*
z3ZfPQ=X~S35h$-02XxR8kxuSlwUO5zbo`piIO}&KSZq0TKc`<BjqQ_RI7!WoG8r@e
z31u0<iI1<OC-bFH^q=UhZWa#2c$o}!M~vWZ`m-l510>NucbEM&qfAJ_YuKlP#RwAl
z4B1_^C6Jg`mca0JIwWb7R_pb8w~d2u<BAx>Q8vNi#r!rEBK}Q@*gCdb&`*^-#A;E*
z(x<V=Y4H#L;LEmdM+M;2_*n2xyf9+E{$zB$ZxwI3{_X^Bg28gJ?uE>=f`~LW)$}cW
z3BS9V!C4Sz2y#4$@1I}fN4;g!tC=PX`2C-OZi)>CuxhVJ)XLw3<nM)?VrZGi^Y;w7
zKV&n2NH0B+&`loH7RAk$&NYu0J$fa+epnxdc~!WYL%ESK)kcI`-yALzwI||Njvl;g
zAPX$);X*OP@iw;R^Z3S{N~g~=x?rFd)Wh_e6SWuy%~vr0#Vf=Lw`V~YEbcxpk4|7m
z-w2WNkrE5|k+2h9QFnDfJdj5~`2j1+AUYj%h+f1`qp9xrC2f$u_+;PxMP_vLV%|k=
z{$-peE6SG5K^tbDmB&aXFri#OA#>Nk6+G+=rJtor3!D|zzVh2MqBsUV-eYZR_#v%*
zN#RmjAX<E$f5?#mP0_TrcuZ{I`G%$XhcYxl>paH}YYIJ@{ga^cKw=ArIp4=gw3;CB
z!K3Z;JRLgPQ9AT9Vh7JlVY?|5t^w-eyi81&>5$$R`r5)xDr9loP=aPz9cC)YBX)Xp
z$eo5fR%AtkYE&N{H453?54Rp|Qi;-`poW?)@e*3ZKb5jHu&M?Hjd`vL(sU>`V0fWG
zf*w7{9NHL;R)Y&(qdyD|(jmEv%B9#d22@dR5bDXM1_rqCGW`QOlp{hTscFZAWa!Ju
z=N{~GK_jN*KQ?;gKUm=>OJG5aVs(XNH45A*^R3K!K##PU*%#-hSy5q=9@n=fGQ>+h
z6L@`)0V(@Wh8It=qXe>MW`I8#-aNkKA}Ga(tZSssA7UUNVey@|W87q@k?IZ87GOeC
zVV|~@6nFc4S}lIyJqcE?Z=LzB%8aP)ZC<N9$&Dhvb|vojCqdG4MeA8#7UW`6@wL5@
z2MN*HFmg+iKoJVYy1ufa%X^<$_)G0Uc2#Pk9(Ag~$J2Rnj~zR*I262ku80r0xy#p_
zKcEVuo`(C+?0Sa9?@5aW8v#TeaaHQ`xC&&jSp66|LqIwYZ3)KQLTKSh(YMK)DzIRJ
zu}YuiLJ#WE!Q>TT#Hyt9;{9P2(4h(QO-|rO_=6J*JX@lu$N7Pyhr9{|`P9d1z1`(;
zc6M<Xk2vDJZ1K{9Uj@?NP8A!{?LkN41r3kuN+3o3^%Vng6_|T2SC!|(hqM{Wzv%}{
zq6@#aT0PBGAn(dF?3?6A$1I%bZ&pj8o)c{sNa-q|n6})|5HE;Smaeb43CJK$8OOts
z+bZC7?3>GFOc;?ZL~o8>CZgz^nQiaes<1LP_S2SE6a_FE97|c1MMiIO1!Yx8aLd4d
z?h2h4GVVJ6tT<F2&Hv&)XjepngK0%__6g$1;*ZO)`>F!!Sv#dRVnl}5vii2FcO_7O
zaATtDc_k#)#dvdU*Av415`B5gB~iL=YHIVOGTMIjx|jJI1sI*FNZFlI=<?z6G}y0-
z=5GYF2IFer`p}B&(LZUFr&4cu#EgUpAO9^xcBn%`gMo;gG!eOapPh1QBcbD?M~VK-
znm{qI&-OHzMLk?fj}|a88XN>i*<)J3@6I)o>mi4-mp<$_P9~#_n5UI<4cg$NZ7Xrv
zM;;}znrJ^QAtM^knRE>+UAWTyD1LKy|Fa!>`o}njjJz5u6R-5>L6GomH(Xf}=@r#w
z6}pg7<Gc3b4}1-vr^3tpN}nRSOl>scJ4`~@xyl<|%Z6~>oPH$KSqWA6?HPVVA))*y
z|BMf50sP@`TY8<ZgmS|UF<;G5K?i+k&C5mrPJB72(p;^CGHF6<k6uzj{q!jjk0OoW
zlw$s0!hI#=LSf;?ITetyisQcIEh8AnDRrOFQ$n|1gtou+mqh|RrMHAVjp2lue9!a~
zMKtX;pZwo5X*6spH5&4tF%(iqj<)qEpt{7>G4pW=)J^%hWZ7g4b=T7;r3d8Ee_QOW
z4W4@u?TvT2^<Bm=7h&^k{EZy?(B7zbR!<P!FJu}s|7Z;I<l;2m5Lr~ncS)~4j2Epn
zwX+Il8^h*9yMMy`M09r0NqB-xKrgbrhj-kJ!A{TK&!<Ql1z*va?jB@91r_6})4P1!
zdHV6=hK3Z9cfS~t96*Djlc~Fl-WY+mz4v26jRbnFHUEWKcmt18|4j4JargZ6qW8L;
zIBN3^eqU?<7gx4b<XD{r7^<T@o$41wW4{*2;%Ee4&FPI@z5?K8!}9ecMHnTWasPEi
zx&uFSunJ}K14Os95DT9PpsK+G{m*Zf;=N_B2fjLDP~ZOJ4gVoN^dV*I?01(cOmjgo
z7sVJtvij3!rzLrjjbIVaZOv~On~SLUjpqhHmHM>%w-`6NM@)UV;n{|L60(pW|I&wj
zx1)ZPSP{_FzQ?W?u7Afcqia11g8J~jqBLmMgdOcCeO{|8ZNu0*_r9)k)PwuBY2FDI
zEU0Zzv;W)WX6){N&W-H%b>TmA_gRUDjOdqGxK1j3#u5mJ_&0`iAn*}&BdZBL(j8wQ
zddI%U9OJrdPm*<Di1Eb}c~x2@lIbnUN_d1ZRDBhah|>nPqsd$(H)=Gb(erMfO$n|s
z0~Q+tT5!7L!|lhJJGdFmpT`wdwfN=yr1kfDT3|6a)=@S150B8He0F}<jQ3@BN^0e3
zf^+M1Ms4~A?kmP=eClE+PHVNWqC>9<<L%9K-VfLCdaIw+wz>WISYpM^`+*wZ^V+71
zm39?>${aq)JT-*px7^pD45>rs<c@Dk`7&NW=*mf99>EX!J(2!-SRKMc)$+27mT>)W
zpVNm_#_?P4MIxiW?Q*B;`GD-NMVwMao0@!V5;tKlncCRRH5!7PH8XaLcz9uzO7Yzp
zeCF)CGuodhyK^1LuClg(kBz=F<_np}<rgn<Nm){0oq2EMNXr6V=ql=5F1LWApKBup
zEo6}9A5TD?3wUCLN%HHNMO?o#y{+mf8EhKfycA(v#MhNS2yT5^#<Tpjimk^<pi4tD
zwCuTv9~Y$SEq$|!U!@h_?{JX>L5(^pzeg5v()~SiR-f1L3_ZNQnT-U7R07@{*O&04
zYuxy?)lHm#F3`u{QWe-HKE)_|EaQ^roC2=cY~y{;?j8}1Q2~-h3vZ;;3SR6RVBYLa
zh2jDn&%LcyhCbgFuJ;#L@#&^i^#gU(h$2KU??j^vi(M<pa<yx?mr#dIyACaqjX6Cl
zY@-A>?1kP%YHr|<?2a~+w9uhajw*`AV?~I6k<7o?y@?Z>kofUL2IS6twtHk#0k-Fx
z!}JTc@Id7s)YYe%kfCL~V6>Y8*dMePO@6k6ACWxxq469G!i-Bf0=~$Drnf<n`4Sb1
zcaGzjEMi0Crl>|;19`ChLUuGzr9p<F&B<^1IZ<FW=8#w=2je`Cd8x0_BB%1R61RU6
z5TSm}Tgq4tS}b~aNR0F-H+-(f(3Ts$w(WDK>y(9$vlpKh6*8a}Cl24+zj;uGmNJ`D
zh%9jC9q73k!h}*k*;s^S?Ln<M5sFC?vQTWCSa$FX3tH*VE$<5FN6KagTdjT)f&9qq
zM05rl`d2b1op)6bDHOIxJt-l=N9yw#8<QL;Gt1*|-8*445m=qDlSTwn2D+oe)db{w
z?bO_Y<X*J7lzvkqkqFwN7p`neaieglva$Vc;wWUUYxZFl5z3ugzx*!bLBdAyhE^XX
zkZIACZekM=xHt;KZ`<ubSg7O>mAMp3V(82`xcg43N)d-u5q>nGJ@4%ITN=Ik9emvU
zfh@=@i(dMVT@YR6DN(DtM?@z~n~NvR<bY+FzidES7%>fX#i@DAp_{A~wy&k-;lZlE
zJ)96lj%*FGxArTbMBBVwtyTc-7xDEE8^jQcV`(T0ri8wB*RMamrwB&!z16+)5=hds
z+o3>D1(}*_)K6o|!0RNFHXI{~Fk7|`IuR2372!kAqOA&2t|kZN$E8p`3*>F{kddp8
zi-3MT32Z-?l{*}jK{jS~(=yv+)T|!qOD#-+t7~`M8@>|}U24!{=QavrFi|sbf2;<-
zC$+4C56Gdl4?*4%SJY7ciwOsRM-6yg)gf3{Bah_u@Gb@>b;Q8v{Hs(`3ly46;R#U@
z&7TX;w6s@8ZHIP3)Ae*<lF`EQ#W^Juw{bbS<(N7;@bBKpn6n-T{};SB{*E&8UO%$n
zETE2h^DjT$iZ_7Ax__8Yr>LNbl${5IF=}YrIDdBTIR;`8EqQ-URne4m09JR4g6_LT
z_qGlKRCgwXb5yFL@L5u8{Sh*nT5)oHxSPK=1*~&^_Nk(be^H_t|EVIgh`pOByF5K0
zF}rlVSQV|US9-ryR6<1*-rm;3Ch%(DFxP^tDk@L)cAq>Uhu)fhm8S1Bfm;sR*o)m9
z&f(HLD{@g9Rjb*HmB^aHl6%-WQHnAuvQK@!H$xoBv+OUmvNnaa_iYK!TNF|KgU;KK
zFNo@|5!eLGOu?tfdXJ!%0xI4)pmec{8|{glEOr($h0;fl&bfxlA%^!_f)1?A=)VZN
ztM^+>VCPt&QR5vV8WQOWd>Q)>UrSQ*|L$i3J>r?uO2yKs;7#4yy}KiLuYAHt&Dt)P
zzkFcle<z6^ZM_TYzV;n!<5@j^F3cDRv0uN&wTYvW=t;Zt@$;B$PS3~bMI*>iV`nm*
z5k<YZyp}a(>zF&0Ql65Z5qu6$q6_g9LhIl2S;9=HfPZa%O=1+lGT%n>6%#*_K4}(s
zxQqtU{xCFmc>uH@)aBTm;6d5OOpb;2bg(COtAtd80mLpX#?x~lfi4AWq60nj1g*a`
z{b~qz0$O$JKCmIz-avEjUV6Bu_&z*!zyO>g>_qaW7*Xhm+SyWS2H5wy^pWVMKJY!R
zkV{RaML#@iez5<c2N0KAERxiRioG}Jf9mhx7c4EZtDn-tTeiH)SBLdL;)mr*o$?y)
zn`51YEa@RG0Z)07stactpZOda_=`VUq#pDCO$UsjxMp{Y4va*&cch0*;BQ=2d6}Z<
zz-_4TN|~SzIM+TXl5YHgFB}VDH<zRXwGTVW`M%m<n{)SpNZCi6_@>&ey^9tcZsk~N
z)M|lK-31SsrV6a!iTX_GBU&gj{CH+YObf)8wr!X0wquk|0sBW+XklvIG9d7ZCOF8M
zOsQH8VT`=m%qL=LVZU}($k}NPh&Q4`bgE-ml&@SZ!$VqN3f*_@sj~*K*yjeTXHH?`
zG{;}^_0vLnXP@a%lREhRWzvnYn#a~gmc+kk(E*zTP0-Rlbs*feh&++IfLWTpo0ED?
z2b_eiotj!Tm}#~&y76NPE4#rgAasNt0^E{iD5h#K7jlv>jb;`5y7}o!o-hME>1+G0
z`IQ3yPOeiVMc1)A>v4ouIz}kDrGEOWJp~NU^9_ZoZ(_uItM|Him>{*W{pH+mGBnD)
zS2M8P!v6fVEEBh4hW%!~<gyE7(B`VTlyhMRn|26GK3vEG1@r=iM8Ynw`;0=Wd#J!l
z|4V?Q8XFLpW5&-sBSD7jl~@fL8dxL0qB%0j4lg)FMvD)UK(y6!;*1_GT+n*s`mL1{
z=tsD1b!Sy!^3~C#_yjt*@`14NW{Cie(%FBREL7oV4o&Zq-G6h*5|7Fk=7y9z8$JHd
zRN#i*#K4#rBShbPAKvc91M>q+x3tAnAZ=~5C+Hs&kXX;wZ{WO8sXy`XM2<52*>SfG
zD`x>DBTqLEeDL(>%zGgvWjHM3t*DjC24tg5fsEh$5co2Qwf2h=Op6i%ms2=^npto3
zZJ{8Pf7Tk`x~K&0n$>KyE(BP;v6@ZE6ox;NT*u$(DM6FihoYZxTrhPy#piCmD7g7a
z%jxhcfrDzQY<UAW9D1!GfeniR^-!M=fnEu?8a50BWq5&3F4BTtN&+lTsc0B*DM5!*
zkw8ZF9taHHJCfrg3GB;;&NBK+VD4(397N&=a&XO=hxJlmI&dU2J4p$$eozPZ{1SlU
zi8?(*H5q8TZK*%9r34j={{rGmg}|m@v;1~B5grj6`JX&chRm{g&4z~}Fm$(;-@`<1
z*W(v_di_<PZ$b2rWyxMpMKN5BKjlF!oe=gWSQSo8R6kns6^E(U8v`gt5t7DCH4L3e
zu<_|I1Efm8gZXjeL`h|^HJy!47a{|7t!b(KJ4x7=g*QKVrve@``vj=B$RKuW+PHQ>
z3UHU3M?Q;_AV*j^L6uews;M*f7?5OOZ|TnDW;+R<*E=W<DXYV~vCj0kfL&j>_V$}o
zAQ?=JZg1vY(f|({`EI9TS$Ly0>?ATvhLg{$hr?$y!S)ABP~d<ZbUf`)BJZQXH6|Uo
zh)ddVHZef(&bB;!<#Szo=}&=+#Y(*?Qo67}Jf_;ipa_cpsq3eDP@p7j`1bxjJ@{;D
zmfbX?2yvRnX$}ccU_4p2TjI6>L{a|{XDe0$y(Y!D=?pSd_h-E<vBDr}rHQvtQyH?a
zrnWgYk>Jct-B!&|fRpdlA2%l{0}G?=PnK*|uzXPGH>73+5;P%-HV>8IP56e_yvD9a
zRykL1_Zh)l0}2-n+4ar+;~j4=DL^Pp>g_*i48Lfe|5wbod#}-1{(6!u7%J_xU}!Oh
z-`~u$c3hMo@ng^hjf>JSIGB-W!e;_^qT0>whbn@j^}+tTUJ@{9V8*<qYXU_L!CvAn
z3P9!|)=jmF0NtN3hiO9-Fr`ZU+`}sm6_nH5YZQKXcg{UfUB(1NX=D1iN@QV$Hzv@8
zzzqtviqUg_jX`-u?_sP05yY$gIez_P0Vd@;F0TrWA-k|+{mngTxb9H?{V9PK_-5Vx
zmF;%9RxK`*OCtq>PhX73RIg!K`p-5ir;Wgz&ALI&Ujlq$?K15Br?B~nZ65U)Blys1
z<?oNgAnGLZ+@6?rtl;uf>0ca1@FbkL*P~VhYzXac!ZZli&25T3k_F&rOuhASLJ)LM
zv67+-f8dcStj9BC0mNAEP=C?khhNDI$IbCkylL##jZGg6_FH&_hrZ>7CzrZyi>oJb
zHuiJ_Qj#J3S1Bw&@4LHSDm*uH>SpkLoujX)cJrp^b%uUrYXWGKPRhG#&*243R39aK
z^#O~$-#GAr4NPC0zmy$1hszxG447cihc>!54bM%PVSCOK&-y%z+m#*@bvMz2JOX>=
zH5mqoux_6l@}I$jt_Qq39jgnZn-7Ru$7n%kaG=;NdkQCtazAYNtOK=c{VW5+RG{b}
z_wdW5Ke&3ckD)HlF4rtaF6Eut!bHEPA6{1-#|vK;v;}x+!_|{rHy@|1W9GCsFoTv6
zJboYBfXF*77<=*LnJsw*^E=jf=dS-SzFt@pvBswbiqVqE6~>F$5;nv7Q(y@1KYvCL
zzn}^CB`;h*T{({(va*}7d)1FyME8rS4QK$@E#2V|<{6CU7~cu+pl-ZA?AxY@xdzDh
zTK`Qm`h!J<A2F2(Y{x?#{(Z1|r4G7Eb2F=SW7tzMqk`4rEx1g__Vw$s>LA3wepcP&
zH+K77c2}-n1HRa4&RF+A4XFJ$3eL<7VH5f(b!KZdc!v!!74fS9o0#{;i|GNZa*ipV
zX0sCiVNh3hDw6`P=GMz6p7de-lQ-|0e=5XNzUI^1;iG_q)SXwVGu;^SdhPEJdllEP
zdNit@MTR~5SmehlI<ebUWUlib+1TRyoLLzuGF)B?x>_~Wj%AO@d6bb~Vk2uzI(E-V
za9@{@$#V5OW?Hjcf4=7p7GrCx|4^R<Cbp?73PEjHt;5MI$}NN)6&BE1%u)rja$cfl
zNh@}qR=@dnPCX`H+Od;auLA!VIRyvhTd_QY?lzWt4VZ2-``XrmGMI(XT)N)Sf`NIz
z%|?17cH|Dt46W?${A(8KR2H{jpEft3&9W5>`o5$d>!Ac;z9bvhr53Cs^9ABM@*R85
z+I7$Vp&~pxY^*YLpcT8U*C*U~z60YS^H@9mR)C-WmA@}Hw_<%lOMUlVbYXMlUO&z#
zDL~K5s;b!VHY~~Hz*#a=FUEUuSuY@59t8d|MTy#d$KY5<*TsZ>EW7V!tx1y{+`o`M
zVRfh-t7-i5=brjc%vx$)w^3RSUfxaQs*LKu@_t%#q$Cev(qW0q(=oCTqj_}aZFeWu
zL?(>{3lC$x<GRDizlgB>I9KPedpAbAPvWvk^Kb0tflp=WW<)q<+@UQe(2Hp#pC_ag
zjADaV{TW7I$Uwwa$=x{mek|?F2Ttt8I2M1|;c<wl4BRpc*f_2@fThatC0CFC!Hm<Y
zN|momL*Z8}*(Yrf8`e^fn>aF!S;CqOHN7+lc=}~-3;x1{%A#IS80N5$MmGN6QBv^M
zT3lE<V;EDq?b+D-Zys~v6Se;KPZA_t3#nvCBbehWaf7`N7BJIO$v<92Ny1eQHKwJF
zQB3qI-AOI)CG4e6_-Y=VB&4<m^HQ&jV^_7kTqcjNU`g`Qz1e9JFf6oEXiA*Kjvc()
z8F^z3d;iI4?YW2q{0{&C|Njh^c{mhY6vnOD_kCxKu`|ProjIf=6e@j$ER}2tg%Zk^
zkYtIdq$Ej}Qc7x$7E0PfA|aHWkV1U(?|JTXpL5T1?)!URqsMEDj%O$6l?DM(FIJZ5
zvf+<oW~-F}2I8X~EvM;x9W1&~@sDoHYd4#+K^cBIsYvEa&(hP&vK%?Lu)yP&TMcQ=
zN)V;8+G^kUi|$@JuFW;W3bLj_<J~MuVCK6{j5}?fzVUtBiNwe3P`2q7wP>><yubc@
zdq(PS`g8g5ryC!0Lfk6LuJt7fa3^1*Tjb#%`t+G})slHG@P2<Fr+ZBvj7~gn-LJh&
zXZ2hX+ZDhI+eZ%$UJaE8E6?D=f4=^s3k_|((;+Vas{b7-Hye|Ku>5^~KSNlcyJMi>
zpMWsP<~pjKkCuay0&0eb7#sYG{T-urPXv0jcs?3P%fYx;d}{6pJFpe}2p&rpgB4f4
ze*U+zaPHLC)5hbRP<8cUenGYb+%UV}+*=|Gi_uT-IFq=+xM5Db?v)hGO1$>gIU@^Z
z1pA{~F7m?6%g^D1APX@;qv6R{WWln=L66l<0G1^KCI;u_!NJkx=*50npdX><+i45K
zvvNm1#|b64kdUZc;35aCd;!mEKZwA`>B-^hd=;1v4cDQq$pJs#rp&}LF&N=!_UiCZ
z1(UM)VWkCmIBq|A<KI;YDC5t|`LIz9qP4a>RJB$F*P+{1=AWeCkZE=sn}<4lZJpB$
zoKu30cS5cH8OuW1gP+?^<Z8kp>2Dt#g;d~lhvnPQ_ww+j6tZv3XhXUQx9?0a0hSK#
z`TDX{3AVM{XvT)<!JbjW?*HV7a16qmj%-(f4rkMI;R$4j>VKRitwn;anA`n_ei2}0
z(SPL6YYLFhpSdh>O#}X@j{D?R5J6zL((|N@A@tu-FF97I4bq1w#Q6vk6g}V1P1;F?
zA3kF{9trA0McOmo`wkkA+BiDOafAlivnMwgouq*03$d9BEiG_!7LhGDU<5o*Z)AwK
z8$!BL;Nl++9cVYN=vGlPhMa`%lWeX=uq*XL2IaLb#CIGY8%i?<*~p0li9)7O99E+r
z8mSM?Up{%xrWyl(i>Fq}yg9rz8K_>0AVblUK>tfZ#xTEoX{>V03I;Ye9M$BZfMe#M
z>^2!ASh-}kGj$ALNU>FUZzKf<uC={axJm_@D=E0j-Ub|xwl4}+QeY(f%!hz`24L)<
z?Cp}c9y)Xe_-|gPz{1&W7D@qR_`P{tq$R}`MxTz%6a`Y?jLeQ9mNISlA((SO!F~f&
zl33+W&X8e7;NOy`0ST&*v;9)b2I!qwIp_sssH%%`y2en3II+e$m(>kGNIP55%FqL1
z0y~eIloWj1(r<8bVFOTKu1!wV=)iszo|OawA9!5I@6Nuv0g8KimS}smK(zY2jK{Ni
zddq)Z+jur_fEM?Z9MZfx>>u$BQHt+l3=l2G6d1NJ)^?R!^Pn1Z>mTmr?OJ8T7*<B>
zD%*l#+7pG4F#=fXJP#Yo=SJGC>ZIYQ^}x2Q)?gN{40{TAMhmlr@TTIxVsD!b)bMAW
zN>GvqR%!9cg&m^!yDj0>Srr?|tkhtbT#$l^&qh%kisDGg{?~LZ-WsIUe%9{u7lT2;
z(A=g?5}3vlBW*ea(5ak7TmM@SCMGt|1}{mVLzu=!hiw4$4>Z|=UU5O;n)qa>t0Yb(
zbNwY2(&5GRUpHoKSs{1$q|{1~Bo@}QUpRTe3Yz+pxNRGM)7vO4&PUuOaR>h%&Ai)|
zQ2sS9=b_F|deT%#;j*42D(+(m`SRHU$leaVP3xc0=ahC&P5hBS`s>^4x&<sCy**LQ
zS@APt!G`R0vsnV4h}axcbT$VoQ_dm6zHx>ZqoP*stOQ0D=`8QMWCmd@HEG9l=NU3r
zUHvsfCGcCXSm=R8QxLcM^KPhliBXqSe%Zi70%>2rnEQH|Lhb?iSv74IOn>z1pzkgT
zOp<SR3T-ig_hWb17<bq(_TgQ^e1rs+StkBoFf)M-gv;pxoSYc7-^3;QiUi*5?Bqyk
zFb2;7{-^9(T&U|-(>gaMfeLO56)on*@Fnb2T8$PDj(@GR6LpeAzL>GgDXm68qDK5|
z7UIK9Kb?M~my$TP>+|q+4<k@+BX)o4=f``jbmRQpQb;&hF{`~mgTgLi?AtOybizA*
zR>IOaAY@-cDxkp$mn-dm$iis5F)mA|M;b32Q7UQ%8n9h@S34~zf@76O$81mr9~`%{
zH~U3}Mx#2L&M6U8(9d?-#*js-@dm|#n^bT)>%%+uK@@{@-b_n>mcz9TJGEsFP$ACV
za)Z+&F*J9|xNN|yfbJ2;2X~rMq19!owWdZKMH?R(%j{4@@_#*Fh=Nq;3CufHc~b&y
zn{_^k-d92m4v)h!lZL=rckO1*ZAlb%`VcE}UKz`EL#h3phEVUv|M~cHDg1W4q<z^(
z1q1Uma}AmLQ<eUw!)ciLo`r+AMhys9zEGgt``QpXW4o+Qi^^iFbXQTMfGS?dN+`b7
zYY3tn8|+h^<Z$n`Ba&;=syIcbJWc#-2$`~-ceT#RqxPMdg|RLo%8Z$28mm#kwTQCF
zH=%$pXZYURJypYn#)f^RK2(@Vi67sxMG2+18YJwmA)z24aC1r(6_Ov=ZG7vcjCX==
z4=J8kM?Pb#Eg3vCa1VQ~E+nIZGzrU!yT>$8Ybx)yehdw!ue9Y<cd4LhRY2494oz&F
zFFRWIhX!p2+x6872^i|_J1V5Cg^E`<uCAsV!QT((*b4qr#aGb|MPnUW*t2ELx>U~?
z;!7q>KS~mDj9ZwKBSIU)gd;t#4;n*>+UYX4cSJlaw%@2}N*iCgez}u-%>=Y>=)7@F
zRKx3slT%J@)WK`sk?u~1O+n51MMa|~3GW++?T14;s7F;&k=|+scN-UX?|4eW?H*30
zdn0vlmy?M4Iel}u^g<$`%RwDITS^Y6fDYR1tR-}aGXJUF-&s~v$9c7i;IwXS<mNUO
z3!JxrS7fE~=kgjTCMx2)VyTUVor$q|Z!KY)T7FC5ZVfC*Yc<{!riI^5l1h)2SV1sb
z%ICTi4P@OHv%dMDCSE*xX~(|ZbO@fVPi4u{z%xfq*j}*Hz+0yCJh7Yr{c}U_BcnCY
zOKki1h9wd<*#>4BZ3VC`sBc)b)<A+}#m)6OYS^YsJ9HoeAaL4&;xwg>Ym>@p4pKzC
zO%P~TdjLQT-=5DAua4$lURE0B60ldr_w-;FKu3KIBY2L4k>r7P10faso*bi7^#fq}
zQ{l~U7ZNsnzHzTsT?sSgZ?>|G0%U8<873C1;nOAEE!$k=(b4r-&y!w&royDnUL8cd
z)G6lMcwGkV+QMWB&j1F~>|`g|h<ME=KqZtag|p)SZAiQf;LopSp{SvXM9tsnY^&m!
zEEjv-FA~6Y<5*JDCIT)5O!jT&7Q=0&MEgxv0P($F<lOeFV6?VyV99n7T$YQ_t6~GV
z=>D=@EnOMeUPX21J`=(>^A-`kNpyI_H7?KNr-VZprhyY)0w}vr&i4G075L80Jb(IF
z0axwbMQu31hYEMxB^kk1KuyUeC+o>$wC3=X@FWjbs&&25@3w^6yVtKJ*2`j3LO71T
z<Hq_5(Z?rjEg?O+W<PbC40e&Ozf>3IMxAx)k2z~BAV>Gxnisz`&dZt0Y%Ar$qH{|0
zw=xzWe(Bp$jR8sQR?ex5iRD5L&i$&7Qp{m|ZAirAg9O&rE#&Mu$A#ZW2^SOR%wTV{
z*@q|J#BnHTD*5>s7hVsVPp$DcgW_Epd&+sl@#oi#8uSQm{M7Pmu%Xiwe!Tu>b8M>^
zMqO@9J)q8mg&!C}OOB=x+Re3gvsM&+!dTjdIC*h*U%W~SQ|DX92s>kSM6q3+q$<bD
zhcmWzEW2$@faRaGl>8GBe3;X>*^k1HZ7x-vtS!bc>)`aN;h+e53O@;Zdqe<<Duu^?
zI2c2!^0~c7j74yxYy61%pdjX*?aQ(2Gy*|M)_-{tBFMU$YCS>~MypG2E_&=W0?(~l
zold+WxOGM&&y`yQ*Eb(h@%&4J4{0%jOX4D^^~NeNbzB6G|6q5>%%Q>3==1;&O$6_i
zEr@>W6UDu(2eT*?8jM}ozlAkO1k2M@_4)_JP)TS)tEhtt#EfI)6L&<gVB(aD)*o@C
zO0<?K9H)Ym&HQg05mEf`MK0{1k|bWqWHDEyP@%-r%2zr`6b*4TC(K<6Z|-mK;2kxD
z427=bQRe<F&mB-6ESE+D2Wdg?3PafTpl+h>iWq(iReXAgTNV`~_U$eUGla^O(HF;@
z#qk``@7eu$IovP&?Me*Y5N@4FmiG~rz>ZHLHR4Q;h$~y=o|HBOu@}U*Q9mV+?_yBx
z?Mg-D40R!9FB`zeu5Ty0KS-h}c~rxQ%-rj%62tzZ20*p&V?Fm?3T^E|%H1VY@alUD
z#>k)n<n_hsUK^4|&e#2y%{d6D!1m>n0Q0=Rf-?CVpDZ4^&rar8A)wC?>U~`?fbJ(a
zJh@R0cT5D{h+S4i6~m=({z`^0x!AhjGG88j`r!Ou7B%epyx!=Ziy@R8+}%F5pnz&x
zSN3h=C84zB?UTcKhOl$1zgb;?5^ffVzwt_39S^z_^cI+NQ!f5B9dt+;Q8l50T|om=
zi_*8YyHLRf_EeuTS3!C>-~5cCCVskHOC`Rh!b0@K;1ezaT1D*4@0QR)s{SF}NKYCN
zuF~8cy9ns)U-ZCzMGNzn`h7mF(LnU$NXg1|rfz6xaYVIiqj`!+@Z>!sAew2D?V^cT
zJLz8XC_x8zoal1>c-$CHZ2cf;X`_Zk8Ae(0Lb_-V_hn~ynLttPVf$Q868?-BixW7k
zi}{L*zkh8og_6&I&ec95p%`WNX5~s<jA&E5_rTl?@-4m#KHaCz>`%VL_=YZ;H)Yv+
zn3{u_p!xQ`6?Ig88TMZIfG%z_-*ZF9%mV7r?Vbvgi+LBapGf@HLGqDk_DK^<h|KbP
zIMlC!4IgV*A2az9tg8QSO5X~unvCrIp{|LAqrzSvw`yZd@xVi089IECxO^gUizW&T
zQn#K~*FyE*dm~Gx>9A_zbMB+7CW<cAWF38@fkOh1iqQ?=xP<!ZH$zR__c)ns<fM-D
z?6+%f*8zN~#iX0F8u-3M*lzNc8fHgacsI$^`5}QgGt1LVPUWuGZD#HR%U>bZI4NtG
zX?7)^=hi@hWOrF<8v@c9as8z<Yk0epv*ikN4trmJ9h=Tj#tj;8@13`?1{WeP&!0*X
zhV*)z$!Jl)qkKIYWV$uDvh*{sTMg6qJnFM9l|`TGGZAGv*0ASXF3ZtHB69xyrGECV
z6pqg{`JdvqhH5vd3(ed_3=9=n=O`e7zjtw~m-RD!_zBv5HBnV`n^P6JSS^YIhkYGi
zR|0J5<jGu?A|NT2Ky<$#jIg03zcU2j#is>+x}pj;I4u}0RtezJl=b&04S>Hcd<Mrf
zl(Fe|Mcl!=ylCMksCDEq9l9Tu{Y{KiM8(dDpM=fa_%f{YC7&7{)~A-H(Qe4&!a>tL
zuYA^_M}KJIN~#rD@TS~U`z?!nljg^}COOayUjDEev4q|A>naa<$)Mh(u&CiMJC3ak
zJ_=&;!Z+yYg*^jO*u9e0|I>^eEu-s>w_LG+qg*5E5lNDm{2zQQ{LY32PaJHvv01<-
zeci(cZJBw%&A0i*CpP3wm@fV7Zw?wA?fKV;;#jxqoS`HqJ6f$WcxGD7;C1rpnPF8i
z3`<*AyfuU!uLe6k6x26^@<T~)Zdr?>{Ha0iSauFP(kd67b>0--)S4bLi4(zj$=79X
zpK+k0*UQFwE>o!fv_3AcLl_m$85@@0<V2$i_nP}hOkkt7@V>kD!YIHOB)X@59iCrI
zn{AyohDe34H#zEr@DsTd{Cl~W+<Ur*H^><HSZ-H5V->>F6C-xrDm>^jSZ#gnCsY3w
zpKi=d62$+SO5GkO@#0i(+v!KaMo{P)z~Vy{#1>(m?RQ!Eai^dG@#q{4u03g&iWC(@
zE6D=ig<=7G=ARbMd7K7y!G<Pec|jzui<_lx6T-bG`PQ;TXfP>u)`RXWi21sWWQROq
zWDmCZ?pQ&E*@0r$Q?~@sxFdY3ElUK|i)%FFY^iXol=DARLm}L?r$cn*yeOKQZK4N^
zFm+p-?{!nZ5IQ=Z9qhd)hW>`mAzoRAuuf>Xq2EIoh4Xf-OBfNyHv`Uok1d!!d?1@!
zrdt>-<PQ|BYD(gvZU4Ugo;83JVYgA~U=e&Pm>d|BD20=)MS)4x29Rs6Im^rB5j!pn
zuFgnfL(x;AUl9gyJ0j<q-YZeucGcDObd)Tv)ij$7(G8$g`;Ydg^I|CJ!2aovm^}KA
zmAMN`8o<{rp&~ot#4+hz+_Aow3V5&HBx(I`3LL$Ak0ux;f#N#^NLhtSSTR;s>^DGx
zalw23Zpo5p@z1yR4?`J)z9t9-f2M$Tt>X8{3MssLzlXPhp@IQaN_|8x1s=1N|2#7&
zjnv)Yj)QFktZW`UQ9eb1A3m?1T{n=$D5}Z1L;b4AO3S=!Cu{%<%V#gf7Rq76hJZU0
zt3-5~jO-}4F@T;Y+2@XmDWHSEi;c!a61H#3UzIy)0Q!e-hgV%u#3|pdzyhXTWmlMd
zTJAFdR~=fkBS9HAYiinNGyU&Lx=nDJgCRKeUdMCG%J`_~{=4@VHE~tRy!0zGA1S<H
zGk)Krf)+zUueBd)G5zzW)X)2<KrqY*AvY872`RB4{iQbE|DHbfSCR&KR|YwvZm8ld
z>1RP~Pjpb7a;?g?j|Lq@Z+8DYOGE{Zl>3txba6+*cW;>{BPhQgFSs>Y4GV1<@~W<S
zSk-X3S)|4o;?`I2{N6!A?_@oLjoo@^9;5s9TfGU0IUAKd&{RjM?TZwumOfG?i?eBM
zrVtl@d{&<6&p)RtTs~!~k6g}l-NrF9F!htI4Zfs-k(Ko)Oa=7OPu-<SOvD0sUMw~I
zplRabnQmvzd_5fgAbXtK*b+E2KOAPM)x^8zk5urZE><lGPBiYY0@22wj%T^GP@MK7
zcYB)-z94>hw7QoLcY|U?2^LzYm)2LjH%=R=?}DEBkO5Y{J;_tuq=my})Hhl4ns_Hi
z-RE%$fONFx6%}pfJ?TbC6f+HEyI3scx(XntQkpR|#N>|T;F&HD5^Arxg|Tk72KRk~
z_u`^7(fywpi_ab+{*=j)i#uTrEoVaPEeAC)<s-vaXfFZR`*<}wm082VIFV0hwKZ`4
zkIP}DLCR?JeQmM*wl#21&0gwoQ^#ki$<;G#3aIZ?SHoXz4L*5p)<S_K+`Nyr^e;dL
zhY4=y>k6!)VQQ~QRe&1a7TfBXD=vvvW{Zg};noo9{Xo&;KO#;%7&V;`6T{t2KkKrr
zn0(<k)-V87^!h?Sni3+6_RaP7o-E8dd*D<pk${65g3WYmek`rNK{>$8O)IM}UitB=
zpl4aJ&!iVOvexmab_D~xl25CAJf?&Jm-BjL)HyMR@%vAx41lEecUQ9y3g~3Bpz<r5
z4ZpA5jm$hrhu;BauX^9fVbzLoh{b6Zyd4zi?fuyb%(pm``Nm~%skx{}Rc4j(;rtKx
zFm)?%64dNuB}!vwX02WA>M~;siIf=_WeKM<zO?^}lSI9q_&p0%ON^`@;#6*n1vF7g
zCN!4BF?Z?o(a&5<4A0=Xo!_M`fIrkER)?t@R}aZNom%+Ih(GE5ocDk^bo;fK{_tRO
z)XinzN1r9eo!#{_r&`S5Ta=tzi<JnLelOi&OIv27z4YpSKw$2tl7&O}dSU!p@bjRg
z{|aM!P_=SbqABG3=k5LFy&$sv5{VQ1`j4^CQ`w96hY39S^dxDMy8y~xo<Dh`aE;M4
zGhcdOs|g6K)E9}#@ne(SZuhAc7UXtsPLXUf2JTDm6*q|Uq0Ne@NMH{u8f~wd6Vf#X
z2jTO7=d5|rMEq;gM=o}pd{ie8aK#8h*{dVnOL<TkK2=CMaNz5aBVHQvMsV)<rL6<{
zJeVhan%-T;iE7FbC;f_Oz@F6FN*m|K1aA%XeG**Ar)O5Fu0Vs#Wd-?7@3}E^N5-A}
zi`-b%K9Z4DMg^r=4F|V=Zj?MG_w|7lFA^HOYVMG!u)*FvZc35|b9vcWPcQM|^LC?s
zjm?H|pD#aeCXxsHNH<;)J_=xf*x#wwI}M@mjG{%>Zyxl{pMLkHO$dop_A0`h0lW&1
zV%T5eMM`$8iq<b-yx(-^*kY~$WZ0K<&js;eK#+<Ug~^8$T|Fo;GXO$`+4%}je&iF*
zzrMC!45KCGPI~;HfY5@h@2f}wEW4NhS3s!0TceyQjtPU6(Km`HK+5h|WUUj#OV{2_
z6UQY`Ann4?zwH!wn0(2)fL9ntJ^d_;{G^cWT20=tBn1Sfh2`qsG5e7IRmd_gjeeZ=
zcQ^*fQ1<79{*jv^XnobIyy>zmI>(lJO4pNtz5L$2!eUYMdn(wzE=V37=a=;UW|N_0
zu&@42sTfY5zfbLSR>V}DU5_uukRc-c_~p-!#j&3p9sXTQ83l-;_vJ&#;9Sux89XO}
z&skg9;w)6~w{lH*HM6cko;OwlDICxi`LXCpz;$;6V{gThA^Y}6`iX1On3&G5a4SO<
zr4CL$$uA;<<c0FdW>s0VeR$L9P%9A|&4<siz9K`@!|R^CjdCdEqO6)KNJ33N?Uz>t
zDbOfX%<CPbfb-UAJ-fWsafx(s)iQtrmM?d+Y^5mS$KIoXr|)Q>LNXsAr;`H542~Ic
zpH#*)>*fDyd9-kwMe~T0H#2_)T+)<JP(e%m{I_Piv@z+(jPLXsGk=kOC>tdZaOdf*
zTf$0paL>hm;#Zms;Ro0IEs80sDBvw%w)2xN-qKm~7tg1HL)@GPTNV-TTrk=7aZC>#
za#mwDo}z*I&aMxE=hTqR$6dbdi#|SMIn2GI&<JGhe}179kx($-dG8}fG9JEl*Txo&
z!8xGUC^t_X1Feon{5wrX*$cv(-v2X!kjEL#wBs7sVR}qx`X(6#z7IRQI-0?ap+f`P
zc4}fDr+hr?6*7vpt9`7#W)8C7ogJsew6Jdr$Mwb#GCI_iorz(ygxXtmk&?Aqm~iZ<
zuR1RoU1T;bYI|5Q^Pul;W0E#jen}08n%Bd~8*MS?uhOA6TWjb@xHdZEn&~RU>tf=j
zLCS+5fSUByE7Dooc(&$ERrdpJeE8v~ZqyvW?FYq;)km~3?D^OxmwIMSOz9gi+;0u4
z6uR+2Lv38B(v=U3Q%7!2k_>B$HOyTPu-wq3h5usCzOYnR!_I-BduzNla5B!Y{HdfC
zjuemlNPkAa=eH7uj~Us(*!NOTE;~((lPOP64p7FqQ?Z_7n`|IH`R#!Nt{V8lAUl@D
zS{_sFD$YJ!ZvzGEzI#~H)zNvz%R_ld3OP<*B<X3|0CEslUBpQ!l}{|16BK9Or{&AF
zVh!)^eLGS7nTV7_6_Sdlh0*SC(RF7AlV27Yf5vlE@yjKT>tTz$s9kGsAQxo~ED=(7
zF4_~Y(7kWi_C6<eO0-xxt6IZmf{wR8n+is$knY>NvEr^L%8O@S0&Ko2ab`=h5?;M6
zyD2(tnep`Pk!y-f9`Tp-+y0SJ!29B5d&>G37;d&o0)0FHYHNLuOxk7fnP%)zeC8}8
z{DNLb$rd`W2p5`-mPq4tI){$c(+S4hbH6o<Q&u2lb3Qk?P!fOc3O}44@{@6XaZ8``
zb4$45B~aYeAdVv2vahSO3^Uqxux7|{SVCUrj}o0VQOtGn)X`5HVvs^U>^-v40z~(^
z+9Vwi!T)-D@o&TsL*|o;{8FYl^v>RzwBQs*+6a5pwynbqFHRqi`7UODQM1eNP8PtU
z6jQmRsS!ruEbDl_x*06hc^c%~@nO0@QKv(5l;IF97&;Sc3Zl+VY*EfUc=(V1?Bc*U
z!%?u1i@n1H#NEn6xQn?^O>&2p<?0lp)5)l?*}w!`c3AX~RoCIR?`)%^v{}Y%h|^b@
zd}D}qIOWqZ#LPt^=H^L)bByR`{i2J@MsWEwHDalU9l28OuGw%bFmlcJ?zasvf@-1e
zw$B{wD7*7Sy`T6ZW1y$!>QpBUIQL-M<SsVMas204Z~2$8-;<3tyqN|DtT!_``&jX>
zhx<YQ<I9X~Da+%sPpKfc*2}gbjTNOt?`=XRH*GGl98INDVcC3oNc%r#ed2c+j}8lF
zHl}<gpdoO^6_W}bSkXKD{aK46tSHBya&y|&5D1s;i7h^?__C98+3zzO&OYU-o_%cq
zucJNRZ9T_|Lk~U%HZb}4WRy%b++_f%J|{S|$64|Arh?5)9h}%*?DFc_1O+-gt2SQu
zX2ZK_b0=s=xbUxS^4g<B3ON4!Xc;`ihO&(pt5r>TP$Ztu$x49&Rfn#zL|kUa{{a91
z|Njh^cRbX89LMcF@9ZNS&N#>2+4J6Kq^OJrmA&al(lCl-7HL?Oq=<%6l#IytV`P<-
zLNc;x36+uX^Y7>J`Q!6`eIAeZ^Yy&C_B#hj@uS%@i<Y5vREU23)tToo2kM=7Fg-;O
zM0xpVCgMD)Ak<K~-tNkY#I_vf_-iGMb~Ou`JmaN;FiB+~KbQ;cVx^TPzZOB`f{jUK
zVcH<tHy~4ejT^P_>^%2L5Qm(|b(9PJTCm~2AejD*2k`|>c%%m6QAI@f?AR_X$PT=I
zw$F<Xx!un@{cKnaX^JH6u6aj+`Xb8di|hO-CbF;XOt=KPI};SP(}x215#`9qCP5VG
zmG@ngB!#ADgC)f{DR4F6&Tf+mVN|B$%@w&Sjq<x#>Kdyx;i~mBAHgpoXnE_!OSgX$
zkn9}akaL_Sd@fS+6%)asBfk1)x8t`UHlh8`l-xDpc*6e3R0li~2-11xt*L;HU2<%B
zyGIjrXZ{;&cp!%U<H~AZ_EtpyD9^JG1!zLN_HnBfq6A_~kFJd_C8FiW^7jL;X+lN#
z>ecO4lIUQ)05OqY8BGg*_PIN&2~SUaID9ck8eLNo@WY={LEei4vxg5+fW-k{yvvw?
zE|7bq-PcISZSj0vkeC*9*!>*3s4j<ezB!R^o>xNy{JqywX0;%EXPRS`zC5zKBC9&0
zqJh$0WZj%x*9IGY2+}B1KoUxgk*JA`>{2trZHuX}&MX*Pe5Z(R#%|xu@Svay5fv}B
zLo^60CVGvo6Vc(fKawu~)I!WeGakX+bl6wAN7z<Z8GQ;*zQ3VMMK3mzcN}!rfwxs+
zX3s)ZP#7oY6_!yd>cF(c($aN-`MSpb*?kg1%SV)+9HXJ_3nfeMKI;K(TZGK#&#DL)
zQ2WzwhK2;T=B~Fn8Nic<0|syS)RE;DT&AHe9TDH(NR=5g1U8d(eTI?-s)%DRyXHVg
zdx!zmHYvt1zIUL^N|B7jw{8tt)Tblc8?KgDj7(wr&kK&+e`Hjl+>#$TMnma5gLfFS
zW+3lz=ryiX6J0h^vS@OkA<Y{;wEn9Mc+>6Nt3ak8Za4al^mr<|nphw&m;+GqMR&+I
zjDk+o-RJ+cq=lq|zx)@tlL_*FNx?>u6eNON?G?^xqP;)d-DAHqVMngqnleyO-#<?4
z>z(STS;&?U7HR=bzkmN$Y|})K2nH=ThBxzQ5QQIIo9D(y1j}%mh|P@_exy$c6_*hw
z!i6p2S;?022g+m=KWA?!^j-m}D7apBqF92r*W1oH4h^)$<9hD<_XLz=?$8}iwuFN`
zQM0|ZYKSDIVRqS50_E9jW?Bncf`B<u<C>Eya)`g}7ZWUs1a}FkRrOlH->Dkfi*6N!
z3!QqO$IFK@%gKTV&Rc-^NY2PPYi0D-!MW~p7#kY3_`+63w*a5I{}Qe~B_il>W)YEC
z#w4A^SH5;KVTenXoUE*f^7^{x>ovY%PG1|cYrL4Sd%KcLs+l}8mW=uStK|c>(pLI{
zG7qrzakqnny)06TKTq<Qs$kg4(#X}Z0P+*vT@R9^k-WpHhn06fGQOVodrKDp7*x{H
zW}TKmLlGv`sW8r<t+xD})?>g`YGilI2{H8MPOQzpfoX>Q-j}W&&gL+F`x48%J`TC8
zI_}+<{guJ7ZK_lEv>E)^V9Vf86G4tfL4rrSzA^YFkoB8~rU2Q3>kSzKNY&9!nq%Y}
zqeZ!Pd1S-{ioRn{d31PDO170qrSLaK$3w%T5d;(XFDJ9)f+iOlb_MEU?iYsXnR<z%
zuEvndFKMh8&5pvcS8MpE(~P`5eYJVFji49*NOnV<6%iV5zdL_=k})l56;n262q%_*
z1ep9@!}L7bTRr5*8QpsyRrpyNLYK(S7!3YmlxnFjdrC$ab#m@f$F3Uy<JQ{KSk5J^
z(IX*epYI@JWtpcrXIURyMK^pu>Ho&eB~L8br}Qx%Ux<E_en20FjraL<w$Ec4snycl
zUEPe<ck(k^8uY-Tp3@v3_!Dz)JeT<C{A-4jDZ9J4rXJuUkFVlCe#3Y)ql|7$H8J*{
zbZ=x{*M;7!3p0A%GuX`FO}4jgRSe_1E&)+Oy1>RMDPFyG3LCpes3b_=WK1Uz+q08&
z;DH5GH&S&18$9df5+I+4`7utf9A(jg8rP8X;{jus6P3pDMe!LXJi;pZJC+WH>T#`O
z|3)x7PX20X#|CUXNVsR2g%0yNSI9{<pRp(VI-Xd(Z^eYQ-6aB&X;8fVu(RI!5Vk!x
zfp$*y4Q94>@0yA*4Kjbc$q1|&#AYo2E(U9NV|1#1mF)FR9*O4qj13Q9FN~xayR3V#
z+CFEBz6KTk{fs&m;5&ew{(W`H#r-2DN|^Xn6R8dJxotg{m;=~xLf4hNgaM51b~yHL
zp%&oQU$EakJb(?{Ii2rNKa4H*5Pf;xQ{eY1Svu&;0Jdw_xg+2CN3kCJABu=)lT!&0
zDE43wGiducJ@a}DyU6{-ip5G3cue{(DLfg%mX|l`Mea^ud_Km<?kAF=vA-5?x;BhS
zPKF*&zBz@VrkS+-4h`U9-MA;Sbp)&P6F7LUb_P2bbEctLTmwXpG|v9f9>r1)ZHeE)
z`VISbOlW}JUmc($d5vf`hV8l*rTq2y4{R>x%JHqWYG5D=GUA8Fu{Ey(eG`#6EWLy5
z5iPC;At$&(>su!<-Bx?2o`iWUGxQ?&<zuRlCAU(3Y5Npr+%`8FEBy=0{qUYY?js2b
z7fNeRFHK`AA;&Q5p5ItLo7otXNrEjBGu@m$U$7GndO_K>i`bbSVrlOq72vZe{iQzj
z4a?!<##_Ey#vIdl&8!twASb`PJVkpJljI~M=Mq-2HAAi)c~_MI3y43hd2kM!`Rm$s
z=++u$GFP+yOH3Jtp4PkvG><Lvru7Txu%NCd-8F}El)%2L(Q=pVFYNqGcEE=kR+Obh
zatApjNW5-m$hr0#W9GcO6%fddrvB1c@7^cE&<elPnZZTOCpB#=n<Xb=kkm|<O^ARo
zGd!JsEMr^t4&B+diyJB2tES%ipa^9(<-e13S24Yz7D4-qyeRDQnLyQJiok@gp5;|*
znDdVP`)=_Ipl$p8pBoYs;rOF_^D*Wu2*ghQvS=4V(=WOL?sX_Y0ol(s>m@6?BYv>a
zZCV7`;&V$*B`ARQ@N`SpF?J+SCEA~K8Hc2tk`|V>D!^JiORcd3CmJiX@96OtL(@kk
z#fv2rz@4E_H+1Dj0Tv%h%nnJQs#6sIS2OY;=1{ve@dhtSQZ!!tP$-2$csJy^Udltl
zxegbav;Z>vGIFFvlz={-W#><5l?O{Ax%JiuArvF~{3oqW4xKc^s6Q6vVTk4E!{=W`
z(AHL>Ez52Nl;>=Bw1A=jVIw<Y>o4Jun+aCE`->t<xU`eVd0GL89r7VI9%88Hfk0(Y
zp%QxMPO-B5qX0M5{;X*3mq5Y{uO0tlRgjsj>-_H=McB5+91}hxg~|m^_<W94MH*ow
z!}>!+xPM9TrAEIDil~;!F1)3Vp6gUU+;>U|G}y9fcpo{W<+*GxJ4!~pQcZ-@-O3>I
ztx~2!SOJ;Y9h(_4)<Pp~HL?AXBv?)<V5>}4L_gWSPPRKyk?2~9YId|5H1`mPEX9@3
zIA8AR(o`DSlhEQdJf;EnY~*}~s+AE``mqYXpd)7HZ1qMh1x(AW#bQH9Xukj4jkM1?
zD5~M(FfN4(9J>fBJ1A;MFgr8LX;K$Oj|yjf4y8l>$70!ibLz;#XPjd%riY{wp7u9p
z>B8j<3f1i)8O=$STpV!KM<E`;zcqjBL!#G$*3cdb3KSl_bK{{tl21CYT99A_@A&Zp
zwgXydQ14xeU%oz~9Uv_6>6(IHR(wjYBo)bwyJwMA^wG=vm|W4EIY_Ht9BaQtMMAXq
z3I0ZU=+vI?jF~O~A5m}HCoD81b4=M^en1EDK0II@gR=k=2iA8#s5G?8rIl=krz5sI
zU!p2#me5mg8P}{yLo2R+-*MC0=u+ig|1Je9(BYY^Vq2ghNBxN-z8YkNFMRoBN3RtG
zkwW<G&rs2=u(Z4>G6`Le4APU_X$>>iw&mH^X`_ytvuuCV6wxoGfQ_X@Ye-BgV+hM>
zA#1y5N9~?UA>wS8m07$sxJ+;tr08m*BZt<;Y99(CsV}8BpX{&(;fN*wb7C6En>xj1
zG_`@blA2jfXRUz!*6zX+U8?Axpo8ANiTBtCndj?)N31~qN?y<S2^D0^oJ+f5KhLNi
zP8qcxv4mawDpNCLl+dk0iWzSvE4<ve#Cp-v5*XE=%ip#tAZd!*o46<*Ao1*sur0KJ
z8qaaHAe<Zu)OXHl&KHC)N>z+XRtvbKMSE`9DTQ=Lxy$B@MIe(eH2Sa~6RyrkkXT=d
zA-=6jww4p3aHo`Iv1&8_RA*CdMVu%~K2o5w`vDGi@!F`oWCF0nccc^T_>sS7MS+?W
z9_qDU{1A_10I&C2%6mRegb8N6K4FOm6aF0brBmi0B(7|7xPBcYhi?p4GVyTIG0G<V
zvKf4IHAo=F|HgQlu5c$S;lb;*0#8JRDRkG!dahlc!rIz;W{8V8h(ACn@18J$t4(Sh
z=X~3+REMQ&3r#pEtv#CHq-X-#&8?&AzV8^HJ)eKy$ijiH{4~eMKx0_<uka23J<0f`
zp}8J%7zeYlzXW`r8v%8=uZJ=_$9P~@oi^Z%gM!3+Nd$2tPzgx<8*I18SnQUZsC2}^
zX$nzqTcjZ*Gv}U%sID@$;j+>bJaACF#n;$*+yJ!vALU2pY%ol>l`-)NIFJqB?bEy0
z0KQW1q}BGY!pXm7t509x;N0IH*&|*0oBmZ@zEaB$y03le_lV%(z@L4`f7t7Tq3^-(
z0?C~4n5>*wcoGlNo%#{#eR`1N@n4&_2{*((VawdYA_l5&F04!W=>hLRLSg$D4>(>+
z(AUlvgQ&z@$>tSZ$a*U@aWb9{#Mm?*lJ|+j@*dYo>ug;Bw@zM71p)ZUx<2BgCIM5i
zpSfQf=)!ZA%v&N2g0M5x?3l8+Bs?yEd@N^F2mEsHrTq*NhN>NdJF8@+fKaAhzLcQ@
z&-W;>WnC13I<Gf>JQ>m;wf*10y*qRuEj1w6EnF17K3aNyAVvn3xJu^KgmmCdWwy53
zW?l_xwEXs70(ABUJ!I*pLyoF9YrZoc6k4i2m)ps~JlCfaaiw%9_L4C(cN2p=wr~HY
z2DSj^LoD$=PlqO2ypQV<aWL3EH-FMn0oo68r$?Tk13jzgmTa~J9Naja!B0|z72!ea
zlK<#XdwHH3+AayZ@?OMlh!LT))L`S!VLIsQnTE3qOT%$ySAL+d65Md4PlueL!+vkm
z2pfMHkSdP2zk*i=k-^)ybPMUA;`f@}v5Npl$L2DBDX2gOrd}HHo(?aEJQupR%K@JA
zjfki&3I0SzY!8sofrfLfWWJs)aA}2CHQZJej79!wlmF8J!qxp99}E<rU#&IhoTnPx
zG%>Az-=hO3F7r8!@hbwI?dnf~aCMkCp&)6qM;G+o<PW({DuVyUQpb-d4fxnND5Wu@
z3+uCQzg%b}LQ0Xl=l*aqC=s~5US8G%8R6$$dkd5xn=lyAw(0Y4nhMF&4*H<*fbK1O
zS{dXIHl2}|p+LN(&h;i`1Ms-*Li*&Q0!&ZBn~CQX$P2nY+{14O<J&EIq{t-jYUX-!
zURw(q4UXo$WH*AL|D;=47f8^nEm1ubrUmnS2Z#6Y8iR-d@#?Yrsvw>6)F?1g3t~OO
z$p@uO;GW=(O4XfeAU(Y=nvbakyw0<`y2+;CtSWY?`=c88$UnJxyp;lvsH>D^Gc(A^
z=<D{_rVfeHIL{(J3fMnPn@!$k4s6c7@072q!=W~lBXj{xsJbXq#A?j|No~z`>6hy8
zBz37K@vR0Jj|YpNl>pc^;?phIsSd_l_g$%USBK8Bc@!1{pnSbV_}wFQ!10Ctv_Y!S
z_8QmQ`~f!mbG?#7usY-faBR8ELW1s|_;+_@n2=$1>evkyb(r_+73J4dhPr$G9dnz$
zEIfl+rjDvXzq~%j8G9nM_?;=y4Q0Zfc}aPfR#mWKadozeP=K*`pKk0V6HYdN=lQu#
zf+`}<zF)3#Abh)6@Js{~bf?+`E#*n@`C_Jv;+ixBHCttT@n%A<+4|}>iV9Fp=P*Zx
zBw$2z`d15s36_dcmn5{5;WoL!^AWEYG_ozN5k#2qyXAu21CkOLjwM_gNEU@c&f1cH
zJpfv3rLzqLA`}xyD-(}}Ao|Nu)v!ze<1wx~4@DK>VPZv5!7?B87nTGZumwm7{}g2^
zpaAK+Q*9rNazjA40NcPa16s4|{`t#ofqlbi14J)Q2ueMwX0?w2xjdo+aR#!`UV;yJ
z7t9W6r*PkcADcs%LuWhtAsP6-vn~$iS%Ix#PSu6W9N_)_+AXzG&^440d1HzNOiJbr
zOI^)Cm*t9>fQBSo+!0jiZ^i=Q8wC#KPfbD2Xna+>MjVWHp5yI$x4}3cJlE?XU<&d9
z`*RJ0#6VX-Bp+A1!B}g0ck)Dl33SHr+nF2Vfn6-cgH4nLd>3rx;$IqrO9<I!jEsY!
z-DRA?(JT<JWi0%aWDHmIWrl*yMB(O;Bhv`S3fmq$%U?+|f|-!*cLzg6fH3ua!K|AV
zv}7xXrhgkk*2p74#Ykaj9s=*AXKX<3{5m@1wduJ6{`Kc~3PHd^N*A-59cJYAm#uai
zz@v@q(4hT-K#PxlRoce^guO+0*KG!XmHz#!aZLc?MU<_6igH1jQ`}X_Mt!&%#uM(z
zCje=_T^CpVxMBKP-{e-%hZBKg^GzlEuvbNr5%Zo0=CzCRIhr>8S1j(<)<}Nv{NyZG
zcYqH}80Ei0ZS}y$k#~>u5q_9X!o{Tg<A*CMmK^tcbz%IV=Fuma{LnR!R7rd;2%*(h
zq`?4P@W59lyc_0+fa0%NI@!X2cipaTw5|iUio84G90j2Hj*M!5s|eg2vAex;O$UN@
zT(uSdCIC0boh*O!h(f`)a3?Pl9T;{M@T5Et1iUT3pU@_+vr72$urWH6oeY<JbXf?l
zFny;})Wv|mQcUZ}B|7}$-n|dY-^^3g&!cQ}ub2Ppd^u`G2mRFJ{ysq>FxsBfJJKZq
zkDVf9E^K=AOa1a!R7p_?xPIqWu(cF4Jl;Lc*-V3ftnFG_{i2}p-N!oZy)<}~*740=
zq(NTM#)l7&aqziVblUAC0itBY?z8#P;Ar8Pz=P{}FmR7fYB!UE87WmGX)79_e%)o$
z8)8u1VHkdhAP*v6(svWJXizJV(TIO04k8P`ip^6M;ASROn5;~L9c}K5CF2rs1owCD
zK$ar-j(ja}Q>8(?ThMhMbt!O&6|=~AKm^}L(j<!!4N{78+m9tnL(!3Iz}}?<7rc@!
zPaL4Z$u)DY{=YI{)8=u;ZcQ2d`SK$4(rKWwqr22NSr#f6t_X%~@})t#*Z*ZV4Zf?*
z4ECvR0gvGrpC?CD!Azsmu3VE2r=p*P1`o@Frx!Y!QLYC0*X*66^5}3cB1xFzg8~$e
z1^&qSsSfg1c7J1(bf8m6qJXtQ5%7=e6}FMcKrsGbG})*F6}Kg>`Bf01zqhcHXs-zu
zYjwM$PU=F@&BQCy50v28*SnM(-W2c%h{#FYsRvXWi-@O1%HUEpX25jOf>oiB@B%}9
z;PBoW<$YZRNG4B|$4J_6%JNS`hKT{Nag&~{rjdZxIEcE?tPO|a=&F)?3?YaqyLWwa
zo{=rM3o&9;7<@1Hpf%PA;v!8JBDSf)XmtKZf(jL0$|v%0RvE*~xC?b^eCl8?>9+T_
z2o<8OE8<ocO`w*0`^2+yby!_iIWu!l8?aA{1x*HKkcJ;wnlaJ<EgAE<C&OC6e|NU?
z_7QU^GdkF|d_x1wSv=xyHBsPIt>MCvJO=oyN9p(WYru^iMPpvBn(*POLNT`sz*D0O
zXODl?fYNf_m4oFPP;yIOE~*=V7*~N8c%uQClU9UnZ`2_7&(ELxjG3^!;T&t6r~#y)
z!*kIMB;XpnP)JW_g3hnkujGU@U_vYP?PTs|-*`!oOmAmGfm?l~Rj4|6y3-|p1rs4k
zEiiU!cC(+a_!gYKrv_Syly)Dc0tm1xCq7$ag5zjU+4}}nkYKCmDRz;CiCZlvw=FRt
zdgu1KZj1zB@~YXtLZv{W#U(puhzYFDq@~;UQ~>8c<e1zi2ID$E`*@x*;f~hngrs<7
zFxuC3{6M}a_%q+<TSPN~a9TU*{B9+<%#dxW%M=8wH1{7r^_UQF;G0E|A`zMsC=96L
zfvvo=RX1h;?!U3^G@e(0tgr73f(tpo=1t|~jVu5!S4-i^3-XYw;Nuu#%L@0%%I`M6
z3l1Mk&OdK22b}5?Pd~yM!(fYndktbhYMuQzHw^-ee&s#9kF>%V`DLu?$Hjp1j>(H7
zO43k#f@ghNVUe+eU3izGojItcsg&3=Bw?=o!>2t0zZqiLJ8N<;nE~}u^J^?t96tU2
zC#l@Bz!2TFzgPI9DL`A2`1Wx;1nbyp7HTap>>sbD`Vmcm;n*ol55Ymi6gWqzFEGTj
zEYgj`Ou(;d*j-vy6mTM<T#Gjr7`u05SS>dggJ@}pjKQ!lkdoKTgd%=1Uh0^QjYt|p
z%aISY-`WM?#g(KW#_i4bs5jQhgd4#r;}=6V%lu&REM(SEY>|Py^R#Q;8Ulf@#cjcl
z4{i-THW9*>7^~M*T$^+ZLD%i)${}H1kYl93{+7GK;98B<Ho9&AuO@5n)8@IsML&iM
z6|6GE>xhDq+y>zOXvfz+Zf;=G)INlDtub=Fw;Xke&<7iO+myTm7kr;If7C0&0?{Q+
zpI5%=!D4Q&A9pJ!B)M7&_SvyQi<gnkUtc{iEmGe9A&3*6R}TfQUuA>QDv8>IW4e(3
zhtw~t&k3D=*Hnos?7(xso?pdR7wV6Ef!FGspr}>YoEgFi{Kb`xUSD;9o>s+4vfRAS
z&s8nF%mr<u`CFBa>wxDp<4sE(C%l`zWA`|h2YMCLvd(bmK(4NnUePEg*fq3`4Lb9I
zY1$Gg?<yUR&5ft?`*A^Npu4s$T>#ElX|P<U(IGRjdFCb`H|$hA(=x3o1oSn%k;h#$
zm^9Hp>)g!^v);ikLRCaSb=!+l$)hy*lWFuRvW^EH_^2Lgun`5-#8ydJSsK(U?A^#|
z=LPxx${6x#9CWy7oDhFSg}%X*x9NZR;L(B1izhqr@aV^%@BhV7;Xc*DGR8pwRP0_m
zpVJkG_KL!ud{Zj0XO{hGdMyYO2G{ttDkb3DA<<AX7AidL*qXf@CJeK(GGWGhq@Wak
zHe>pVHvAha8w$HA0-jOdCW1s{V55F!R+Om?j`8BddU>K?tQV2x_?-Z5HpHTqH7(E-
z)0^nr<l0)z^G~*4<UqYKBS-SB7X0ONc*_{TgQ*Vg2bn_w9!_a*@qVrafym<Id3kZz
zb#^U-MMV*Qk!4->U|LYV|8HGEj0A`jmp>DCCW7a)qRP2ZEjaH(F}7XY>|-ulMHj9q
zfkcOC`2`hi@Jl-3E1fD0&!(dtGrlXs4Vg))zI1IU<j|1YZA5?)m}#}%N!r|755?Vt
zsqoO+Dd7#f9PE42(w1DK3bro@XSG79&@5bV|NYDs=(8FB)<sc=iYLD8v6ED&Aykl}
zk1D|A<?O_;VhyNndZ^+NL4&y7-Li8rionqqj`x+(1dt5zty7`Hqu8T<gbX4qF0~ud
zlPF;BD0)+CfexSOLh=twmEbkg^v>|07I?{h`LAP02QZ}rJ8yI<gY427{V0Aa82)%M
zG`{ImKkr=mt~9FxUc<kNKV(ut_1?P4E1W*uxiBenhfftso@cj`SZP2gf7X|>-vENy
z{le?z)BrQI@txd312LESma8>}Q06J!W3Q+Vyf%4?FT!YmAFDgqLNSKVkKKJrH}|}^
zpV<}B02+k1DDsLvHi7leJpCVsH9)l?4=#{tkWTgq=+HHTLz7<rdQ&%f9Ji~ix|Ryu
zL3ru03Uf$58)74|=|9$?Q9YrOR0yQY4C>+lWRu%gKX3Bs(-Jk{XuKBWt?#&{TnC^)
zNjGkb)P$pTrIOewO&I<zMdIDfgn9}yP1sEnGAk{|9Vr@M#vgz9P&X6U32q)UJet7#
zW6t^Xt}3*5M-9*GTR_$8m9^{`GGIj~y8BpFV1&}W_g1V0yb8LL<Wa8y3rqN82b_qo
z{erLW{5=a0ydKSTd8-bV+M@vhZt}o=^Zne*N(;CU(lW~NTn+4BEER?AmVxbe&F)f5
zEMQSZt>a6)D#$3PCW{n{!*Y{!m|C(0JbnVDB040<mA5;<6DSJgkvd-LE(@sfz^!I<
zD+4t=)I(@DKRj|eW6r{50jsgwx^;q-U{I{-T*nXx{0{&C|Njh^cQn;+9LKpRd#~*6
za^36RYp?tLSS2K76on)eg%XkyrG(71lr7RCNwj<)l}IWptIXnOkL>;P@B6&ZbKcK6
z&v`%Zmx{rzIYx;o2zP3d`Pb#aTC=4j=hr%B%`7xv<zNcMc^Z?)?#MxYZ`!2F_#9?h
zb<2Zq5`ZYh5MK|H0XdpMHp`81tovct0rqPEIWcE#Rof)NSpC>Gi0H@eu3&2#(g55~
zQ!actunhtvFSg$aX~Fi9DXy$XF;Gr2xD>lp4Bk{q32<Df!uIQ9W_GCzXuEn_`dF7R
zI7a;^9=4i{%{)@;uK#EPJ)TLWi`|0Io>;S2!}>AKp4odTanTrFwAV}&atnYIsY^`$
zZ7H5Bz_2u=8$$$71N!@w7p_xyZ>N=&;6GNV2BgzQu>X7ffJQSHw8=TdoEyx+&+xr`
z5?y8p%zoV$(@7j)W?0kudL|Vs=dj4!wP65N@83ENH*A6a?VW!Ff4;&pA6Crz*cpI!
z?%_y>N>;G@Kx;WsTa8VzMDkSR>ci2mUVC~b2*9j<8646YF#gBq&hxD5L2E2)VU!y)
zG%Q|9FfD4uUg?R%o4D!$P4Wbb9UBwq=?o>4w{~H_zTVN0danx%7O9&nAJ(vmVB7wr
z+CHqkAgmxlNf(4NZn#o^tzZmZO>tAX0n8RPCz~eg!1i|1)Ts3`X1PzkWbE1yW-MQ8
zf-&iUo!g`FyPQkdS|3a3zKv1rgx^}5OOQ5<6klWU7Fxu9sD4&*ikZY}Z;m>KjA_AA
zwY7|;#{%Z8zV)AW>NK`pAjB#BxE3gDo|l;$n#bsVRfn;F87wsYE8Bq~IuL~YkIz1t
z$JY0n`#Kz$!$KZsZQVFQhn%PO&XEu1H}A=CU2<K(n8Vuq4$ja(QjvBf;m17oHTAPQ
zF>nbxe$Mi{&qW%PdB3f~)fcd#kbz#K{1wdX%EOcLJT%zuo&Uq@<pMSr5_D{QaSd}K
zL|wX+MFnd@>BP|!i`a5!p@f<N6D+9*WyR}I!KXrS)PDC8mc}Ev;&+`HmK$5n+|1Mj
zJ%ew0j6=)V>nE4T$nylKxW1Z`*g=6e-Ifx+GFPzpgaQ<GffYhxXA&q<6c}^}Yw_S-
z!vZ`c({cGNa6LM%?$J>)pw5B%gvaaHmKguTzQbE#?D8(n9j`TD@Lxw`s|geE5i8|(
zwsFAEQjK~~VGZE&%;MZ($_#!rDI$j^x!`e3n%~J#5-6VE@y^tf0ILe$dS`Wbfq7Q4
zW^O<oScA3dO0!tNw9O&EW*<K^$o@X~%uOB61_ZvUUuT6AyRGKVKNo<w^w8}-y=u@}
zo4$QLatmw`_3BSk6@o01-k?T+8tDF~b!&yl4mWdsI^W~M@HgM1h{~k~g;iO~<x3n;
zE8Z!5=e#I9XQFV9mJy+IfE4I4&jnEy6OVqoi9^xXq!5YIM3_0tW9g#63)j5JuS|R-
zps6A7a|442w#!Np_kkZG9rDF&vZX*uKITk>JP{^?pSL+(7l1iG3l<kPSt!KbzhIRj
zg1Fv37vmX0NE|z_N&2?gD@#ABD`-Ucu-%JWJxmxlK8_+Asshv{W<3r&N(4Q{<mG;O
zQTW3<{>SR6B8Wr9w>OnUP}T8JSQ{0CxYHb^A3zx*)1IPBm>Mk6&4WL5Y=iE_kq5D3
zD)3FHTkh1vrvB+m3g?(4jFXG{-JcQRsQS<L(nfW_R%)2J6lDO0D)&E*PzRH@u2tic
zBskCQcbylL1GCSIr-<$vFwkEU$!t#sgD~IQ@51FF#8$Q|)szCAQo32SixiNKpHrOu
zssO7s-=3)PQ{g|Mq-y(6D#TT@`01%CfxwMBe<T;E;KBH%>6=Ld^>hu+mFvpza^|ic
z<vR^b)5I9wQ*?OWY;JaOP6Zx!zMjj9r^7qP3gtw9ZQ$1*wtePC1ku(s!d;>k+(}H?
zXDX%($rle-h`d*Wo{*hY$#=BiZe2vS*PtHAk-ARIbCTd}jQlym4=wncD`q&^VgSi3
zo<%_>8bGXbsj;cnf=SaJuNUn`(Cx0{w6>EB$5m$%z65H)f{22>$6pgT75Y=UMVSId
z2a2uNo9HlICiRzn2!p9J@}^%uQ((^?2mQMPG#L1;pUpiCu;HziDx{<dso+~IRZNA;
zbT0aVT2nZgSG0>;PZQ$LXUK5`Qh+pTn^zWV2F|JC%(E*L@Ve*`v0s4%_J33Rj;okM
zdb&`@!A)N;yHkU4iYk06an@Q$GY8ht<STX=WSFh@^J@H~2)P>_qZj(kfmiIiK5vu;
zY@0S*PGHEv$I%CgubC{sW`R+5OM?WTE;eC<QQM%bI>8Dpn8SR{J9@(dHE^UIey7ea
z1pjGm@Eol-hmvEz+21XwLZHP6yGa5kJn?HIBwaCwPRD!XWSR=R{3zFPB$Npn_y5id
z-^^J<2rFK9Qv%03S7yJzo5Y58%<pDYm_e4PczND61+Z^u)=F7_hb?J;E;7N)fH}JL
zW<mL8zALRp{yqJ8+v^``+{hHFM;;y#9+if9mXG6&>i_UFOncI77^a{v$Ifn@C;=Oa
zPR7x%7V(6nZ3U(807ehKxO>u54EWw8vB&zZ;nBROBxxo9Dc&+GQoh2l?Tj0H$u1_8
zGZA=;_c8_r$w7@#PXu66pr_Q^h8bm^!5v0Z7_dDsC;j{`UJ%OTOzCT2MjN_p2VOol
zfzac9-EprtAmc+x?AQu3dL@34C!^jN{IeZ*6(+KQ|Hqwrg#*lJuYxI8#DWnFrsrM_
zXxQwx6<@o)TxL|JonNx1ZUidVs~(;hS;Y=qZ+DNfU`DEe5mi}74dL5M9SN4vc`V2e
z)0JpvLguLq*1ksu@TzyKRr8H$tUBXIiNkRwWYjW+OlI|g9yEG1GH)1bU{^UiyS#x9
z6n5ttSn30D%h|p{%|2|dD7LZ2Xj9L#_4P{EgLFm=v#oP8)|Svhew4nBha3+Kc3#qj
zhV5AoH$IeO`o4|t@|D(ca|Y+wn*+L_vExf^iBbj5<@S!huYC<yd8;pL`B4YH7)M4t
z{n~)1TlMYWd%uQ%vwn5?rKS#CajZ<BT<gTGmN+?oHLu~NqV&s6+1e0J(tAsL*@x5L
zWv&>=uH#0kRJYTj+VDZ=iVLlN0DqwEMt+gKj^D4?r*I-!3oeR@hMdkE#wi84T{m1d
z@B-iXwrpN4P-;)y3&!KP=AY3$DauTU_42otrDQrdbDfX;=sJbp5UdP1{FVt_R=Mop
zB}RuG%Bug)asR`KbyWoJ0A{4-o=<DYp+WaGHImSq8T_B0p~y8;0#eeu^q)SJ1|M6_
zk;i@J@CtLIvrO77sOM)}(ftop=<~Ywl|x|x_oxu*>fOPLT!s~Xt?s8nX!)^=ibIQd
z!1-rU%@^4a2#3^sAJhcfIiVv}Rm*tT*ZIt^om-IWtd_+uMNK$1=DOYb<tlz%;{AJe
zcXq_3*_Pz!LjlUOiA2%rb-XfRL`#B;6WQ5&Dn*r(fjOH$4qaeEPW-)*eSf)7_wIzq
zYF;u-9J#dj{1ayMI-@2gb%F;u`0Oo84bT9C!WY{vPZQAG_WkO=Mfg#$7b7^TlLQXs
zQDr52Sdranra)nP0Tlbl*lw3S2@1a*Ehqe7L;hDZwb=><k>z~0X47W>4+WE-B%Iue
zCK)*EA6a2kv_`N}IHV4T`uHXj$Q($_{vToewFnaN!QWn4RfFBDv`>dcxKJy*-M)%Y
zF;pQM5g1vh2ChPvL=#nc&|tC5<52f)sO-MV{D8L_{7b0b`}`OmN|%4&dB;x@Nt8z0
zcj~Ia+(3~&8skS4GZQV#LTOZ*`M#`QS`A7sg`{|ZAeuG`%-3d@LymSz_og;=$Nu1f
zl;=VySV}+Yje|U5v?L|^8LC11PM20WOayW66}l=?u7D)fL%J=`s=)*GywZ|!QN*=>
zy@*6tLiNEVzEkaLu=j<K-Lv=N=$1!>uF)rDbm-2j)YC`Q;YY^(H*(J<5OHey$%7NB
zD2c(W<19;p_}Jh5x2mO(&_&0GPn6Y=VsC6^E}sU-49!pUugM@RUTT^$p^m5;JI<6C
zk-==5ov`>s4n5_!7;?om&{(d`;L;-s{3jCD_<BeljpM#i2T~{~$1yh7jY<XG+@%}`
zEk$&{$n!WCnTnK$x*t^0X%O4g+p`j*gfe;e+`71hh8nt6-)?uOLz-_`=dS@}^jH3E
zc;q)43cMB~yH=_N(e%@W6BeqdlDT}s`y3rv{GIa()Y5^bH{VHPSw!T`@l^W(lNNFl
zcM;R>)P*Qh4@Ij<HN<nV^Qg6p7Rm_usqK=d4+@JJ6T8$&sLVn0Pw6==bg=lM1@W38
zoIfPhe`tpWx@h;DH(=ABH|TCS7iJ70y|V&GjmhZYufG|V|LBObf~#!rX$BnOP#JgL
zAfr3-Ug8#}bY%57GRuj)IWzpK3}>S$$S(N5l$0GbbTvEss-lo7?Avec5c8FSSYkzU
z{&G@LgstJ>pM9oa*xw?YT|+_fUlW_#)yasGV!g(H!wl@0Oy6XNQqWPJX`11P8u~DC
zR$fBJ9E7B{1_||$5hLJEMSqYA+L>lL=W*E_UW|Nyfz~z9P30Fc562adRqY-6hxg`C
zufmnKx0{5#3y2jxqcVtI$`FWZG>1~JEuIb0>WH`Op+t$3IPw(ky)cf<;l_`D<vj#7
zBoOYJ;k#WB-6+W_`J8MHuHp0p^KPn0-P$=d{0#>x;CI@1wA~!`rU~=i%2P%eaha>U
z&P>Q(Pe%UakQq$ysaIxqD<XEEexAoarf{d2*!cVB&0siFt8PGC0kt=#8*!O@$2)c=
zSrggJfb+M^NUf_JQc`wvr(Eg8ZVFWrv|~4S#bVYj3ukG>a1~GC@fyd(AOGfM<uZj}
zo;Ey4Mgl3Mb!yhWp2g$>lC-%K01D0+(msiZA-L!x7QnTHS)FHhVHW^ka+G4DnF^!)
zxfEj6><ZQz%+GB|#h}l|Um+w<02$=w%*VW6!v=+0pG;dafIDk<VRslWLJ}J)0r~6L
zV6Yfv(8~nmV=Jxaq&QLXA%W4Of7Y>yfT0wdIAh>mozcis+ky(+YHXS}{jz!bRjjX#
zU?II=sOUZcUC4fwEG@K-og7S%`Z&4y-uC-B1$3<AKR-rG$5^jn7Oqmx(iB6;DUQBj
zNm|1H<$p@s=DmuwcXjG#oiTvjm+LM6lb*$w`}fGkhOA&G^}^<xaedgnQ#~InCh;8&
zsduCkm$AzG3qH1j`cS!rGTXH0KfLpu&_rnY61E}mFg({+53=9!%pcp)i_`9TY}l+U
zVkj>%H>_3{#7W-bp@J>=5R>coe;$ii)n#w4D<oa;3#8o6o2|mj+;WAMhZnGsA0gz>
zR2?{#u)9isR{|E^SI3o{zJPgWP<pm)a%d>>xcWZjBUbZQ`E&od1#Gv_+#c=I+Q4f1
z!Rc0ABldaEs;z(20_MMunfu<L7ECQ;&+mzJU{cWq6UJ{Au(p}OMa4r}u#<b1qpZFM
zJ6q6EBPqLxtq?z?KkuT$?oZp?nzsJImfwC0uYR$Jo#8VLQ1qZfDVJgYtF-}aW@&#P
zYseBdyY|83$X^;L8l}iP{2aoLWM5xz@L9&L);+l7;YS0<(%JAo_eQZaucjfdq!nx`
zf3}--d2`R3hVfUrOkfYzG`)5Wtzz5*9|Nr7sBoV$rDKvfh3#Y$*>^c)9ZNdVq^%%B
zg^{P*l;h{8vCp1P)7mmjaQ(g0h|~#9;5o3x?}qOTHn)AReUJ<@40{$cq;e?0I(yr6
za$**XQb}_tGa*3vl6baVHyOxnma(LmdF(=rjqQ9m3n)BpCDbdB!S-~PN}b^%Cb1H=
zeyNWYP6l^<f9<aUr)(lZ_i-&_{7cU-%=m5rLEf=-+Ycnrh!7GEU0=aE8qyvbNV9`>
z>)gwFX%g&_^DCbhU&o3fs9N_{I3UVc!THuDbzr7NmJMk#!D|DD`BDyUxN>;hTxyf2
z0$E>mDV$^mqa*Sfkv6<Q6fv}!^-=>SDt&tVBLM{1?1Ua2<_C9H^?{~8MDQB2w$nFc
z1-fGMp^^6j@cZb>vD^Mc=v~cuAk)MKy>5n%1VbUfX~%Z#Vk3f0-0S{{#I4XVbbVWD
zhcNt*P>EtZQiVSy*_moV9AK3nnB$ry3OPHu+-DA`f=vKt(50(f5dKFXMkP@kIQC`x
zo5`v|?|ZDE?K2N>+ZH|iP$&WG{EyiWZt_*Vomi5D3_k=_hE?=VOMy__yS}zw6<9RC
zx2q>e01~Ap2n#1<;qLmD{EvTCU@QN??#5w3Adct%jpdey)s5W)C9JBj;uf91aZwl&
zwyL`93E$+u$=b8E7OI;&=jNijt|++qG-f8VE5Vp&Pg(tDewX3gndbuHK>hYEr{|e6
zl-v0oB^eOm<V^HWFF^^&baoA#J)sIxi5=ogi<{i7zxCB|11V_n6VW*cYCswJk~lc2
z20B{jMK_{lAm1nT5K)x`e)oQaDk_s;KE?HbVYnO=(F-r#kRXG6cY!}KTLUV8ohu)!
zm4_hbPY>=3YQn%N$7PS>6gZN$OT0x%5w4Jz9rj<QLTZJYih~&y5}!62X(uWHi)#>9
z$!Qu8n{v%<!)XxBNH$kxR)Hgg2AaZdI{4l`W7$4Phe9@WkHAn>m^1jD&LN-$vwsUG
z#3Qu9lz-vG(QzWUL<lL|f2sw<n=U(7&2?cexMf@GK6Pj?np^hV+{Zn)TblBz`taXF
ziz^yMBoJ=s;^8#chMZ^5gJz5kVYbWfXVHKL><g?+_a|xt^8e2f+>F8RPITbZKQc5*
zx1Q*%)PmNvkH&GA8L&9~^I2FO1=jQ(uG<r|KqX7y)%9Hf+-&g%S)Q73Zh|i~cZLSn
z3Z~PVcbdY%x#Oyy#hM`Sb0md7jS2@iM?K>;%pgDYrkwLLO<4T$N$lJz8N`j<q>1BZ
z@bw$+eQ>`foIR<R_volPd@om4XSr$)r{7xfvXxNa$tlSVi90G#pd;HOG-VE}OS0E9
z-jbmxC4G3$D+S>6eRqsOwg4VlqQcJz4G>%qEq(n{8iuI<jxrb)P+Fcb#KTSkm)C+N
zubzm)V9#|2nyLki{nx8-_R!|8d?VbsN1h+zN+a0%#?7Ho$ktipwkp)tvtNlWW`!7c
zFj}~~$*o>aKRe2l!G>MlKsJ01V-Ztqz%<PvwW|~F|EdVd@0kd`cbYNf=HEAj%FUoC
z{AbBjzdY2c2S0I^?85~WpAXLKn1LDRWd~taIUw4&SGy?A;ET4I_k5q5g4NeAk0kx1
zz*0i3af7~s4~k~n45)4L?0oVjXo-WTLGiYh1Sa&n{aD!01ArLWeXb{JL_oQt(zZK;
zfJ`L!GASzpyzHytlKvtHpAR1?`EQN|rI&1@SleI_mwS+~v4tPLiT-k{f6t1dH14I2
zxG><U;?BUQ1TGlLlv1`6XG1l7hgeerH@Wp+xzbC&EwC%-2z^<B4Piol@}yhF&{KZk
z8r7Nr{l@$3PRz5Sp2VLl2dj)AntiZQU2zTL-)k(23Rsa3r{w31c|*AA$eVsXbRIkR
zFsqVi!HO<-Y@6J#Z3x`vV|kTPQ<(p7(B!#aEXb?bd1U6C0TenL(o>HOV)ocj;p-3<
zMEL8H{QI*$u(}yF-S6taR!`qH&X#6DOZ%4t6D0J3y~O!x&v+H~$GG<$XDb0&ag<mk
z2kF7db~XR`+Z8yQ-nzZ}0|HV$Zg=rwi!QjPD+{o^YQ_t^4LG{46HwO3mm(%ZU0BcX
zPJTDjgWs^V^&L+npx_nzYu_H|0J0QLI1x91$K2Vf=3Gob9si!4E)>>*k;5K4^YcgW
z<e2XCfC&O3$bMoRiq!_!Xg}Kh!;?5u;Hg8lyI9aIIo8>4giW3eo@uchoyMD6-iCJ8
zv!J`9W<Q!Ewcuvf?hjF%vv>>sP<P#r6&(ohi95)m1><j<KJtjq<9u0{dLGi)5Wi}8
zziS*FF8+}yVMs0F<($TZ0r4%U@si8oFCuiXS_+iul3B)U|79CYC~ZXvOte#v^J(z?
zR4}5euHuLszChc@j)b#E(%B7Z0LjOXC>pQhZJ)k19xUNN?WWo~3r$oY?!S6np3a2Q
zLemR9bhyyFp#37Lr>Ni{qkC&^?<PM+y=^};z>SjD?LV*xQDHXv<5)oy0ePw{U6=mE
ziv-Ns?k)vsg8m7DsznV8%5th^7xm>wPf|XwT>MUfM-l4Y9dc|)(O_faK)e7t#Zgvk
zphbZgm!5rRQ@5ar;7XUIIzhxY5PM)Mj|?{?ZW9a?*wHnoX|r$@VH9(;?$-@@GW?z@
zX0dAEK=W)4r?_%Okk8$BH%y;tfR#&zU{5v|ijj|r)WpP4d=5$6(MkgzWwhH`-{C>i
zF7eC#8{#NhvfAErmIQ7SD_{S<;zMf%5^I8k66lA2nwnK938W?!{bHFn^KpHTjGK`{
z;$Qat(Z5E5F-G0OeM}II|2NR_Q%x4_AyMyF29ludY;C#29U*jYDqxwnS`K+zk*?Q<
zl3;mvLC6kH5#;2Z)p&tZ0WC)HYrjY*!I7JHOvlnhQDHG_&NlB&Zkus2-`P(BLo3II
zOFP7oEn8_Sv?!q~1J&_Ac4@$>QO?dKAqnJOT=?sbvkE#q|GsVhj|SjdP2zuUNFw!P
zXM($jRZ)mNM@sV}GL)EpvS8(sL3{}b`%2@~5b3D!s}Bz-;A;5g<vs~Hbd~cS^L}j-
zigVt`V{~dlq3e?eQ6}=p(Dyz)uvY`=M)0!zcu0kv{t1dvehTQjzXfyiCU1?JJf;4=
zLW8%wqVD2_ifFi>U|YaTMMC^zRNZJg)V607s*flk>t|PPHh!g|%FsHT<(U?I8hobx
zSW^XMnDFjzIYUFb9T6K=OWI&od$src8C4|a^Vz*_ore6?R0vmnbfNk7aCcxa5#4yP
zOmsX#N8`8Jg6x;|K<UcYQup6#h<$yDLpYs|SiOTexeE-yiih);)<1Pr&g=c&DU*(3
z92Qebju=61!*Z{~5DC@IUg&P!JSTYskNHh9fx5;%&-pS9bUKOk?fp?2a;p$JA~nf?
z1NScMD&9**;V17#me6R3C*DwKmp#DY7jiM|<z!Us9UWL<Kt;nzMq9URGlkD_m0dDj
zWMr3GBBv}&LC%%Bt&?@8z{qb{Ay<)6<k)_Fh6@RKtcAbOKV$||ZdS4Lo@68xJA*MF
zB%*I`MJ<wA%wV8X_2f7JML@d0(m>fSt|qV>C?kLW6JH{g&7n41GMLm)LfLXp-ag||
zK-`U_sr!4)VM;)iBwMeJ0(T4CSQ?Q=am-K7I=Y!d&JnlU+}G4l;b^N4nO_{mC+9al
zw=xHBc2Nm`DI!u2YAZ}B7DQh}-c+@Sn}fmVNoCvHDrmj>`?-dXT&VQ+-;szWGkCza
zy(DX02{n8R%6@;G1?e%UD!0PS;AS)Z*mrkDBx=jKR`+lbpCSt}UW=H)r-O}etZ;dx
zO1ew!7#+r+mk}rU3Qgfk(#{zhRXHS8V`Ok8ydIxVrx3+-Orf3lA~w!I8tGnmo=&5F
z$I^MYX71ygT)8)ak!>Y`79)JuYVP-AhjtjSeAo$KoW^UKa#;*%olR-3xjTZr{v10_
zevE;_%ICAKqr&L)*_^HtmMQGS?wUQ$)eJC}Wuq=c3!*_0RePqAX)Hl@+m3yMCXimX
zJoL+vAANbzS;cYvA11Rjd2g1-1UQ{Tml=<_k)vy#WMI`lY^fzP<*KnUte*~e{*s#m
z4Y8?&eZ24w`}b(LPc+a7o<-eGt*d84S*JJ>zjse#YE?{pSBnf`X8uvP@&ExDp0mU(
zSf;T9oww$arVXIT=9Lk?n+b)^<@xzCO<^-<hKhy^4WKI^z}l006)$f6DPH_z99uK9
zT{4W*hX;1=L<d<G@#vuJhxUo1nA8y?6RjRSKnFIf>)b4EbuJ$4_Y7l;MmAEH4fNo!
z<x0^Rk7@kl#)Yd5s{diH8+)v}@9Kj6ZkfMhPUHC2i`3RwsR68^#NB{xO$T1vHaz{D
zJ%o#O?SE9P`v(gta94cmtph%%FDb^y{lz1VQo~Ba`Y`W0{`k5kZD4t!i7_+v;VP$B
z(i(pDV5O{hE{laWbj#Lj==A);ixl@e3G;VheAUy}j9zO&8RqzL<VGtV(8_M?n%9Y?
zbtm7pp=-fYN6YgG>y0?Cn->Qqp&c9J6?)5GOot}Y&9g!R^|)-1#wXsoR?Oe?Znv){
z9ekc_aiwWj;}4?WOZPhc#47lH95XJZ!P=`ek8Kw!@zvp|$7UKW7+<PnqtE8QHufj1
zs7>T0emPqyq|K@sdn=`}x8oBPN<iZ?bvz&c>s#L)_^=7<n~uI0xR(kyuV!xP*1d**
zgJ4lJizcjpVMW{IvnDhIaLD{7reMn6Uc^DkCM?oX{(0g!1;(qHs&^#iV@Ux`<I$uh
ztZ9z#ez61v{s#a6|Njh^cRbZ!7{@Dn?>+CeF4uPL@qLU?A|a!MqNOCO(jp`(q=W`i
zqBMxe$j=j5WmH7TrjoLfy?*!K^E$8dI?r>S^Z9(<PoB+;?0Hp42z;8K>p%X9XrAlH
zI%%&4Tf66qSBy#tp531Xw~T!vE_;N{S6@^G(E>F)-{Y0Uj*FC$%G7q^%c~fB-&!hc
ztIxJqHAF)8m3nwrSO;N${`V78W-3(Z|2q`_w1(K}JS#MO=`)cqbUZ-SK?PEj-Bou>
z)e%3V{2zU2=_LNKvg>i*Q3iuo1^pv88;G~%c8`fIUkGLnhpC!B6sX<#c%n__9WguV
z@+ETRE8*3HZB$DN4BtJAo^P9pZ}t_&cgDUE0$--wsF_L-awmb|+SN9q^rldmlSm&?
zm7aI#;i@8h=AmAF4j+lS4_~a(Ee8lq&7$oQdlg|Uxr6lc^CzNcVtBGXYmn#*W*^LI
zQh>|<@#o&W+(CT#p6u@^H%yeCIgvW4s{pMTJjqGEodlnM@_OCJ5h5{{wah(N9>!FI
zQz!O+Axi%>?>8v;L6Ft$lN!Y3!7WkUUoNei@NLTpvA|JciThBV$_+Viz3D&By4pk7
z<hzCnvHvDk)Mq3^c;w*J6$Q?PjDEspxz6m;^>Ko2zv#xBNo25hs@!r628ni477;$p
zDZ<^A)^SOI3^c|M4<2?75nZy;i4s-Qgthv1DVsYakWbo!%{NB~;kf3SQ=v1&;i75z
zc104<-1xViiTXjvxWrDE?wTdI|9F1WDwTyVyF2r0vqy>Pu^EG3q4Pvh?fOjM7FjUV
zC>Swc93$4(#5GGA7m33KF)>zeWI*GU=O8s{oJdt{E#K?8LNvurG`G%6Lpp1Bn3nDo
z5j4EY{!?$A*s&y4(XJ;A-ii{3Et{r^AoA58>lz#3UH)dyy7N-tMf3wx+zfGFN;gev
zY7;p4ctz@ekOb|177>LLv&06zkByfG7@@&y=I9tz5~`PXg?~(+Ct{al3r;YzfaZ}i
zf*-F-fQfx;U)}5?VSg{`?xTZjF!jEeU7A?}5_dbMy4_eI0vtD+`m=L_aABszj!WWT
z;l1x?)TwoX^6-Ri#w<7RFoo*cii(2@-=n27t{dUR&Dq60qI}^0k$23wQVdQ<-txX7
z$p9nfchdh1@<VrVpt@s-7<@_-$dwmhg0K@QCz`(rg3u*<&KgTG7&RDh)g@TK+E8aX
ziCqL79fa4GG{rzRJMbJWmkplE53er;i-G4Hk!1m5;AR{CW!|0>nqDoQ9ut!UPsR)C
zET_ak|3BM^ViO+7Q?%Kk!6*X@Gx-~Y2E<@njZu532_Kw_-1(a-L4uPe7hO9phy$k^
zUwIy*07UNU)zs=HLsEO!k1K~H;F(Wp;Ep9h_|cNY`xxcH!}R`xoNP(R%suW~Dk}m(
z4<E~KZ&QTR)QGF2Cen}tRe>F+#ehv|{!%%UGAPQG7<nkl!s;K#9f};1aH=3cwQnyK
zHWqHkUJoXLioM(er*>&*aW&CD-A~t%3J(?qUODiOQnMTUB@4yxQmUUBYeMnQk1Chh
z6@b~vq9XAk86rD*Cv20nfb-k}IXqAaJmn^YI*jCjD`V5G_e0unLn7I7&Q1l!n*Efl
znH6EF{q><bDh>SDlD|biQ3E1=$SZD02~OqrAL#Pb1us?JV><6OVdmF1=06R}@Wrr%
zp=7@vY<;~mri4WY($szKlAlsxbuL*jSw|m6Iwgbe$LT^JC&f-YN)0wydORW(=|h`{
zQ~%^<1Gx6+d!Ve52HcBDD{*hphvqq-K3*+j(CV&K*4e8GuKfErT0``~NOk|aV44~1
zy>@Y6l|c&#nYztcxAY+6jTFcFEdZ@o>~CbwYJux$lZ=hAE~Jpz8N*mCK=Ym0it`&S
z7(XGB^vYWYwsY0%h3&8eA)l@grxq=ce<A;FSyT)7X$CUNhpeDq>uhTFT`f?X7`)!j
zqz2{@R#s}nX7I{VvXRu#f_?QxQvDH1u(&0~)v|3faL%WG;fT|OM<*7yoBtw#?H7p;
zWD#pH9myKHyITVULxv6zoMLeCoZ3fy32WePl4CJ;QUjs5L?>+nZWyyT%o{wi83gYg
zd1Amyg%5^PYW*gQ#C_j|`iti`LtgE`c*S)Jh+e)uc$u%gIx@PGB0OgWW&NR7x#{m^
ztWD*1IJR0X#C4>K>ShHze*Z1{gvx;pM0A8lu;PfH%1!E1OQ38^y}tNI7HCGK7TIMU
zJX|(Ib6vH7*SFm6eVCU7hSXc-U#s}hRpLZKiK7J^DO3=ZbrA(~9qxSPr-E3M7UAxa
zZw~z?y(Qn41i+Hr_0FTeLfDnRH~u!KIW+cKE;9e%fpeuNKcv4BM(Z7|X2qufZ10%1
zb4IYj+!ZB%B}ox1zRRf8*-HQm!;c5sa3kD!Gi@(tB7%t?<dv0PGw|i|h!EZ~Pvk5%
zh=aNauD)tve>!Cf@8`Qj%dd_SL9Gia_Zda-yl<kEub?S>n2Y{aCsa$6bk8)#wg}@b
z>H*U$HYOnanK(Z)`n5V%ApP|C4PoT}wmIoeoH4MveYqRc@uxakM14fZM;L8O@*>qc
zjo{qLBaioAnyo&6gLNXqKp4-Zma1`T7(tBTqvtlim#d#wPd#ZQ31hk1#wNAvhETfG
zMPOUk25hs;6K0bU#>+gR^{>|q!1wLnJnv8jTsZW-wM<(Wi=_ohctQ=}rb~BMM;8;W
zUAlHM#7h`8YAU&Nr}d$yY~P1Y4p!_^&y%uwAdF7R3N3Oc^}(I{dgmK4cD&Ei`|ayS
z5!|w?&di=sAHH{Mi72vjV)M+|q}bCU$S?lVlY#yZti^nPw~lb3#wSUsU@lSYN%`+J
z=;}eIvHRENLLOW*IURPpLKMy1tH>f>bwO`v(;2AXMUTfVHUk&LFk;5%;j<WBxcBt#
z){fhJ`2GC2FsH9L=6aOxAPjV&!StQp%d`B5n~DwE_DG=e_iZ}j|7bv|*$32p0{FH|
ziTox=5(8rY+|Mkd0jEotq`AEyUI^J^?U5;k<r{n|&0=ZL^!f<7iV(uQyW7gY4@skB
zURm3@Jv2zYLm5>v7Dl5{X)i)X7UPTrDksfoaA`yBzV{%4qL=SHS?-d>;IPyleY!re
z|EJ;qVuvWk$2g>ZzfD5%_sLgT<Y>VC?nUgqV`5nA!SaLgAQ?Z3iF}k$qQS^u$)a$&
zI5x6tF3K3oVYJg9J|hDfJhXD%WYsExDXlLG3xwn`q}V-{>P7?Uqo0D-d8JT1{E1@w
zKY481S0(r=h6X=oPgYlZOJhwUdBn0)0rlM6y>7js0Y}i*$;5IQ<Uai?-tLtmDw_>f
zp61pCX(|2#5s9++ytRe$Iz<Uzp0Z^cKB5ckrdLzBtw{K^<znj}e+sh1c*{|{b>U@0
zL?&&8gz*o&xnAokBh$Igdq+L=U@_1zVt)x4o$S;DZci!W$LPF@z+ZasJRrleAwUkr
z77rC>rmEl>zOk0{czs~yT65HvlSli6rsRiYDr$B9IofGp0L#x-9dz5}(WPE~?OYNS
z$DZkSB+nYa^Gd%9QfCy<YsI{l^o5FMnTcHwstjRh<E#y%s3P_s=ht1Fry>IvOPXV%
z5ga_$r#h6Yh-PMDXBB@_(Yz>;*yd*p&fgbL=E*DJeA5g2_UBY|+~HFA&e#N;Cqwf*
z5|yy)jW*|Lb1D`(pJBSgYYNeq*P>{HN?21CD@T5yf}3CV)H(E-!YhroPtD>KbY&ZK
zy7XBYf3MjN``<HzZ^1gc+J+R|mD5!x-$OyWfi&qXCju<=z8G;CQ}D}dYq-p7CA@7V
z&agg3z!Ph=xl$Plw(b6-!E;s-6V^TjNtn=eDM#VD%}*tarI|%NmQz5VRQ0@X!2o@C
zsdl%oD`DBZK#Oao99AahYW}(d@V1vh%UVteGqcV<th6H|yNkWxNGSmGS_oXdqllLC
z?qe3cvdFkItZ1MXAfvD4q{*5BhMl|o=HR3>ex&(P_t4j+ZFhL3I4EGqdepB9OG#Yz
z=8n>&pL1(caYF2xJaXzA1eeu_A!id)V^{{j#^T1ouzES<eqd0y7%GCl+Z^h{P6Gt2
zjfy$Wk`dqOPXzl2;jwFH_ar+23|2CkYs!*wFs=8-tvCVHsPA@HmjK9(PnGi9O2QYK
z@b>8hAMWRHzqh@XfW4a!Z2faW7Wt1kvGHB!#l0i<6fas6U~RG9(&s3H>Y{E({0F%)
zxTj3XuEq=kMz3TYsF6a4+v30eaC6}g2l47B24-+@+Cf?0S`sBi6(bgNIB=-;8t0KG
zru2NYcG$gN98;!G_6y%(NBj9<Up7fo(B=E5C38&-2PO8tyfn&&%|Bj-H(oITW6$+8
z(_Nw%9vfp-9K(jbB|STfmW?5pI;q}iCW1~PoVp<g*--K9L;mce#=sMn5`E1~7*iX6
z#&3yd!{q_3BI|x5`0rqG`7;k8jC-v5ENYky_4Z;C&BX}H28IqxUK7NafNEcx<LoF|
zlP5p)-Vj=q>lCgG3LvN0h}(S?4)ms+TQ9OUghIYj2)7r&|6H4c&T?~N?LPaT%Wn-J
zpVjlx=5~I3cc-f0x+oVK<<;x4*cgDpS;k7^V1CS563snm&5gGgZeJ9o=NhKFm&uvR
z{J0^Z$3Z)l2V*~&RtCE1!wp0I_XP`lm^uIV`Tl5Lyf;qDv-_b3Tb>GuR`&6sm}|~l
zvmGB=?pHMY6Rrp4LR@D=zVYGZrwJQDo*xgIE(WFW>%l_EK$_Y(ADXOgOB?1Cz&97K
z%3Lkfg}sB^BBurU(d&A4HZ!vz-ab?vMsm>w{l5lVk{tPQyLQDzQC=YozF?D-ze<B`
z3GF39+5Fg=7VVrx6~^4zhQ8QmG?4wo_V_)M0DfFrx~b+Nf>X6EH)Q>2a56%+CHlMo
zmV2;AyWJ8+*0qJd<0SfeY+XB<Ll7;6FA#Zu#4zd@-U<Gx1JqAd)Vogvk^Jw%NRqPz
z@*b)#gc2Qi_9ExixVI37rw>nhwMycUhwR72D>{%_wK+tbB8=<FMNQN_(s=l{#k=iC
zbztSm;)EPM2LxOY<E>kl!T3Vf0Y*0+2>-Vbz3HC_o_3EcY3Y{5?N&OGzqjeY%R{;3
zyYr$bl$kKp@gE7-bA(jBJLtgjf%uGaZgD)lCE~Q&6EX_gF4_$2(Sgo{^ShP|B=C=3
zTyklq96nU;d(v@Q2MoGh_tu9=VmnXmyI*PYSQ<ic`!81qss^e*o4u7n?Veo>%_#~v
z*_xxCI-~>M9m1Syax!?%Y3Y97bw$kLwlTHUpn-cspWP{2SyXwwwT(ZCu76?sXn6@V
zaQPT_vXqI0=}*op<3$Pz?wkMTxkdwXqX+fN4J0f#jiF=*E2D#WhU}LMy0G=3@2>|5
zWaPNr7TM*ff|j*c*Yrg7Ku`TWsl-JNBX?O_EsIkz)W#-2^Nk+-C>>Ai5tm2f|4Mf0
zzo#Oj;VaV08GRTEY_vMoE00@uUcL~vTNNW!26;{B^ZanJ$J_sw0<I6_GTo_DMa`-D
z^S@*bAt5+aE6z?4=XdOA`OKh(-OdruZJCXrTA^~U?UW)0QND7{^Qxh>qjtcL86!CM
zrS=$ij1s1?+}+VRs*0~OS|aX$H-?o2ZF6%53Py38HNA{e#aneMw5CoI_+ELwD2VQh
zhiQj*r%qClYro7dlNwVHw$>ewDWzbJz|oZ$X)5l~xa0Huz8ToFwdMDZQ1Fq}U23tY
z3hrVw^Bf2!fL$gdKXHbFgVE<{VZ#(Od6T(+K^UOld;R>OK?>H}>mKEbRl*|6qhcQp
z0vu~p5>t3iK^5(xEPFOZ)G4(pv&jcIBvIyiXcq;)$>vB4pOnWVohf_udI6T3<(2-U
z`-mev8m<0H#$nmjYfKx=fk8zyG|pWKPi>V9j4~#n#)16VLVk1T&b7TfP@stUuP?uN
zXD5TQqrYS-h0NjKoj$g}X$9<@x8q2+ki`1zMp-d-bFlsPT-%JKfR0*|xi*Kz@TmVW
zb<t@6pEASSmo4Q{NTf<J=$$aW`Or}g%>XWb11zbYa(L@X*85!nf_Ox>Q^APtBlQMh
zry`D%k-5yrkK)RYKgBs8yx0%$>szZcIhuse1UgOhV|nrTDQfFxB>?xcIX$asvZ!r*
zR+zfTh0mxj<0tD07|v~(-Qp*M5nt0!vIlVBrQi%ROML>gLk&`oJd(onJCh<y-fSr4
za(M4>wi!g!2sadLki?L4nY&CIS<u$xvqd|r8KjE}ZiqZCj*oYzzcRSPjBmDCm1BS@
zB=<J?2QG=?Ho^EQ;Z`OrT*xTo_(ae1UwPkbzbAr!iv}pRu1t8Aa-+UY&jh$uL-uU(
zrRV9@{k^@)OnARO=<&o|V@Tqq-uq`Mgdv}cPc{-vc=0o3yEv0EY!%<BA7UYh-d8`4
zEhjOdbI!+OeSt=>{dbL7oR<K;AG-KDQh*t^Zuk8CsMin_Kq}^W8bAJKJ??knEi-Oc
zDd7F+U<i-mdty}SdONM2q{orTg2v$rc^S0^@ROqTPr-{1WeTou3AoFOXJTH?Z80%`
zM29KN|HX?GnmPNc*K8Q{!?KU9TpzeDjTY7>@?zG{gbQC+*l~NvxDuC<K2(-Wm7m?l
zi`==()fabjqCweii>PWn_?=d7H%{WkpbEEx!e6+s>$OEp`W8LNbaAgS<L1T8-o#(w
z!8|B@V260r7hM?SU)O)Z%Zr1q@k5C>c~Qh|pd#$3E(E`O|2vbyi;QuZegPNwP;~aD
zZXuH{tk*gFpWn%g;W0x}LFf4KFiZGUSPl&?kQMI@r}ARLCZciYWdS5{C3p*Np+Wo0
zhJO)%cyZk09clWJAPVGciX5Jy>*sf=7?LX=wsD9*RPGi+zDZF}n}<5kyR|*)MLQqL
z^O;oqkru&+XByI9(DgQkIroFsetMtXFKm)OC5i{fhS(lR>A;_b?ic0k0x0aH<@Wf8
z7;+oATRr=(4f;R!X9c|#z-xZ(?1o1qFt2_|CbU!={(Cwqka%5?uKTNVdzqy$)3k@b
z;F>lFylc|l5+;Q1yq5jJWzsmcbJ$uXOdGCDH%WgxDvYvQ+jkd%Eb{qq5Dk9XbWS|p
zc061J>-8&2eKbjEp=a1})<+xePlsxe?ug>z(A23~6*7L$nlX1htPM}IW4#AHis24c
z1v3T>IkY>*G<G~v8=A{Q8;?s#pt**y(txo%lC5Zd3%S}bU4Dk*bWRdG?QeT!ZdbsC
zo?0*2K5eiq@p6AYC529`Z|A2EDx%-B+(ro{9hj&{AX%M|!R^T{w!beZ;ReO3O5SK4
zU{6)Bq{PZ%HW3u?{T2lawtUQIrT2d{KrGwXorFpZO?u%^lrfi6<!sMM8uWZE{rXvh
zjInKXK__3R;3w6W5t976U?ieH!Nnnmcb_Y6n0QD<kG_Lh|K8}rDT(Nwq@Qvq)83U~
z9Hol8<aHXjF6lv}kz_|&4Lz@lt;y*TYPc`tnf);zeMmpldiig<0=_u5eEh&?HEdid
z<@elX0B05#b~DoJ`Du`lzS~qC=axUsS=t(ci)l#p7m5-tfx=nA<LWqadne};M<dYs
zRRqS}N+=L$6MW{NI;L&BuBpD)7(N``eW3dU1uyUSkNz#KjvFWBwx@)e0LyvZ@sK47
zp0TaYF1n$H<?k4@=VDC3zmxw6>t1DCi}Mz|K=-d~rVP)OD`pV)z@1GXPZ_(OOQ@HW
zQZax#OkXpafU&=9&Df-jfA=&&=us8y>CYysX#-UIKNTQ1D5G@h-|^T9x}R)kT$@e-
zc+GQg!7)=AALK}`&si(s-E7!&>nFgr!N8xFwksnGYvjQb7Zh;I+x4C>ia7{nT#r?t
zb4xvc&(ExUIZWD0j=JG$4w{F;xihRO=qOP8L#d5~rPqISl?R!_->Vt9E_5Eb!vx={
zb28ZU<f*#vX>+*7dfzv!RuQN1Wq@I@Bqr1ZOgy0PFS~kV=|!Icau-o^33)M8*chM9
z>R}Gqj#D4me#v9x?tQ_%V!{~CspA}|Z4PNA{a+L4@4J-IJ9ofS0Q+nicm~($oTB+M
zo!U>v<0=uI64ShBV4v(8NavS*Ca#w*bdXT*($bJ=F&DaPh=+(q(D|rE!tKBJvKX@_
z#ILH%j)AfKB}FuVQIo@M!pSmtVso8ju?Y)KJ;MTgPe4cY6FY{xQYi4(MaXiP5fw7@
zU+_~1c+mX2$e~IC2d<odY{kofyno;Jl|-6BP5)Dwu>~<4xnI;yF5QSFJKNK4c9}x9
zcYRp(4pG#vF!(CnumLrV83GN}P2sIuYD9CBFrGEHIzFkp0Y^6L_I$c%0v4=CzM1b6
zLKlW#AwGZBtJAf8Z`k!4!<_ht<pT*pJVkc@zGHE{+Rr=B#@W~yl;&(ae$MjaILp@k
zp~MFC?H7<fdfNyNoV%5EbBYfsM@XIAr5iAOpeA&7#Sl`1F7ytv^I?FZT(OhKMm)hC
z|C8ox2&Wr$4!yPHMG0!M_F=hAc--gEqdhGK@Fv82pEQjJuTd(zig_5&^OfK3RAU1O
zNJ}+c7v;vC^^r@@#ToG&*J$DDGkxI9>?*yj!-diF)c?MkGvQ@+p_OOy`tZTrxBTb@
zPCTu&{5U0=8LNzcu2pC0fnD58FYg9UEPFqj%-YX_i$YN{_A+`9|9+3kj%OU`5<yGi
zbYa7u1b^+I2f7e9uv=K`5(n}Z7(L=1W=G7eS+!Hu1w-Fs2WPKv;LVgbRclu{F(d2V
z^-UEtC>KvTpj^R$BR@D&jh(qMG%E21Zll4>sf2-SUQWy`9PU90UfjN<ak_j&2fPyB
z+n-P5#3xhU-^Qi*uzF_jmvWR2C}V>^g<cnFIyQTY7C)B87m9f(=)hcJU8vI<7c#~e
zI`O#);H&5r&)coq;N>Bv@^6xxJ|~YluG4w$V7p_R!+C9Zv~|NaIYwTj3Vwbm-!FuQ
z-lOtAY1-f@>$kK20WZcCGS5p|(K&MaP{#MaS}?tuqY>@Khi^PseCkmYH=ZjO8Yt6(
z)~c-<r)Bt&$JjpC*;O0^EI*K=E@?sM@Ip7N@MAE`>fbgdNwjOU(oXW$f>?FS2VN5b
zc;&$jZq5%<sH{aqjhJh}CeKy_uQ@@?^zKf)R3d{7)qmSgYiPlBrJn|G1%;6{X@7yr
zH(BIn5;=cRSqpMDc?~dZ6+y|>hZk2zN$91yW28q@3rLE^fkCOFh@UEG4;kqBE~?90
z*+vVf>fL{|mc(#xZfd2tiabsQlJ36@&;l8W1B*&w61aJz`r+1H3izDaIb-Re7Bsa;
zT<xX%;tzYTiK{mhQJMRwQ}nbJJiWpb=l@(98941+d_O8-*5{DI&K=sIqyIr)RaX}8
zy6L1u^D1NM502+Y8tFbIb#lyHl7tHFj}NJCQ^6{)<KL29b>P}-YxgyFGV*yEO{ATt
zqEXTLQI}O6_%Kyh9<okGk9Cvc*?X#ZsAfCgt|}U6Ze^;}oR`C#l{3|0Pv|}(cTKJ=
zRTr3?BxLm_<?#&%bC&;2b=-WjwEuma9>~NHtJA{@cvE4IQQS@q%ovOQ%yC^GI*(=i
zwfLxrMG?iHEr&F4R%W-~K!E||HGLkvSfqr)&$if7#WZo-QSG&heTI;7OZik`6a{DH
z%`X&4Yogn0?e`nRjA4hAoKv`oGUnGYIH#{@VAx-aPKt*K9NKgyC$U=@)eG!RQ;%pM
z=ViX=jx<xi!ixAWZYmhT;$u4*r;f&?eWP+MW{^Q91=bd*;O<;D=1NyJl!(h17@H#C
z=Jam3+NXk-dGc)DcT>?)$9g*b9DskmWNz%B3JR^1Z%UL_!P^e55<Y(cdIZKacD_=<
z|0ut!lGQ0FC+SRUb2f*3uZOCfJ}NlSZ2YuDOc9-g=QFFb%)zul+QO(;8Ec&*uSiYF
z;gMJI4jVq3gVZ}4rO#T*I4PIQ%2`7~M~?+juNiZgEz3yd+($tl%J|$3QyFBmaPGOW
zYz`-4uXnSCC}BeF{fSdb5*W;}?yNXz4u@rvQttXI;&9hv_9!<Ilxbtws{O$n&NW=o
z{p+BB+YBY-i+csIb<@ZiE!!N7PVV6~Rg}jp{<vh@w{*Uc0_9FWb1-MF+ZH-UMiXC(
zowY0{k_#pb%cbb|aXHW;QAfhKby+9DXcmm8iEQ?01t59Ff0Cs0NXm1w0=;|&l;6Pc
zbm|m9CN<dAb5I&jwcT2{62Ad2PIh%1kpb{NKJ_FeUlK>X-#PV=SE@H=x~aX3C4hwx
z(A<|Kj)P8Nw&^|#)$aoqmK~bSAg8hF%<v6SOdWS`|CKjeJsRIHa+J>uj@yy1%~c5F
zWP`(Q`Oh=eg6c_i`EI6g;q^5gA7&vO|72tFqW*7nLzDP5)q5t8k{#+bcR~RF2LJ&7
z{|uLRJk@;^$FFOz;#!&6T=#O9y?*DSBodOyN<zyhr9=`EnUP9c8VDt{(C=%MN~MfQ
z3L&dJ_8yNv&p+pNUT1vH=l$(c@}F_f30(5Q=W2Y!1d=~3zW5+SLdE&bL6v7F@DJ`+
zrpJv<AgFa%Xh*#WiVK?FkSsolpT<PR6jP1CaEW|Z&UQT-OqCu!#W#hg6k)Nk{YGHz
zU@UKICyY#HELtUPr*SA2sx)OA!JhfbJdrd(6p?WvUa@foC$~)oy5|_eLZwF(zlZ>`
zAqRz;Uzo#Ves3x5<2Hm0Q`fv_4SdMVinsaEu?1X%>tAkLkOBM`cS`csYhKiNPV3oV
z!V>-~qcWe~sSm+T5#zr7JZP@1HaDnt1t*jT{u$Y(4|dhl62DA&(B0sYPQ8l+l;pK#
zl&4M)c#eO)u3W>7oNV{z*EDe;`C;*OG3I)ZGByVpN4e2H1(M}gbxt&WV{)@kl`hnj
zsGjPw<wkQQ)+*kqTqvNDpi~69;8#%8O0wfdG8q}p-2yylWa@KZ=sOlPSYcKvN4SwS
zae52w7BBJ*uMmFc%mR5~$6CG$Zq(m(HT29@exy5F^!80Z6O0e3e!il?gVJtGX*!Vv
z(G}w-25AvYpiYhT=04*=-!94<1kMQ|$Ar5R+a;N>QEt&=B!CxX)Ngp!w7L$>CHB;s
zJ!1f6k9%2^2_Kpv@)UGtiJ-H5Wjfc~84#L0>RQF%M^8FKt!r>mR7H+gE#qOpt4}Rl
zPPPIlsI;ETYn6m<D~l`*J*PuoN8)*%L_t(k+jS}0MI3o6m=rz=ro(2w!yWN|h0uZF
zaw12)1kwpfvpcOr2SRrryCG~HYDlI)nUfS!d!Jl7IYfhnkH0g%h>M^Q{q5>|7dIfa
z(jy^-=V|a$v~WWprzrY3@1y>_Mh4YIJAHa*Km!Kr=oMW)61vjE)5s{0Ln>B$nc7P_
zAnuepPgWH}?A{@5!BPcu(ahruPn!<N=MB7Za1}@M+QQL7!HS6Od9?1+2Oanozy5d5
zeF?PXPKI4emJ;geKAXO+LkBz)His_@Nug77r(WfKQbt<W552k1M}r-npH4`pZ9v`Y
zpW1avs3INCg;X0i8Vq@R^B$(kpmH8jib0?n8kYRiIp0WwM~hbHMEhltqbzAx*;jRR
zHsFi7hanx};(3ybUdW?&pU;ekfhIaZ+55fyHXZ7G@BZEVU?ZAukEEuTlhI>dvFFK(
z3`i<02wDG45lxg0zHFmV&<Df$+mV$F5c+XRuclWCdAWf2+Z$A58`UZscAN=``I0}J
z7L-w@`R#T$f)4sP+7Qrd$AV*;k~Rz}Rg|D=?;)~{hV1fW+_Efn;n}MP<|G3(<Pz0U
zxNJg47tbfh#JTCgq>G<g&rWqD@b9SZnOAi5K#rFyB}E_f6k`G_f;5o%ZEcC$vJB*H
z5V)T5(*W)X&)%Mo&_uF3H?{Y=GSKCU7gB61BX~&@x7>PyjN;e*<ug3YKsD`gtjS7a
zNWVPtrN>PRMHG83g*Y(KPMM48_b^j1<h{DFT8@Goq&N+GI2g!6VMB{@tr@5~2NjFF
zq@d!Zj<UWeI<l?*MBp{UpyEwbMv^8Kz0F^-%}J-B1%ZPdYK{O0EPj6*^P{4X58->g
zYqim?g)0)gQvh;z2&+MXRAl_4Ju~Dk1&sxl+cRU>Fzk4DdeM}M-VIru9yTYV$m_8-
zmuK0KG4-k?xrKs0&i(e?R-}%CgZ4gib+iCyPwUsJ`V_?6N#D@Tsft{yCwKCtT7c!Z
zU9Hdkw9uvpSCe{OmCz~v#77T`EPyvbV!3}m8MPG(@2NX0kN6HS?<ba6fcu54PnS1q
zqD{&oA&;(YKtbx*klYOmc<o==6U(E4fP7$gx|BFd#g)C&LM%W4>Tlss)DR}*6*Da$
zf(E0wgd&(0p!{?r@1||4=+Q(Jh^_D;Kjk0!nf+{dD?i_o-K&hsezeKx|05#*qlOv#
zQrMv15Y3ZtN(udP7Zm#aauN4d<&#p@X2YK9UiC34MRY&9>)gMHNnD3m9FSTMkUKM|
z?YCC9g)erT{&xtU7gKTj&kMjpB-+t+Tn71W)6z8f*@eeM_sl5`WAKEtay91M2K4RC
zsDcmuD?Xj-;Fu$cLEoI7{t#OdE!6N^RmfH11+6J8w@v0iirCsrAd90dxa|4Z-EsKr
zs+Lv32{X80JghQmLPA#G^n{N&-p7LV!=9fiHie{&>d)wu2<nY=teJZM2pi?5m^u%e
zK*o{V+uYv^BR(sUEcLLvShXzG;xxqsz7ry%<HrOLA?5llO}B8o%86^Y@KIy%?Z+MH
z0emR$p0`<<ObJfyteIb`G6K8P+|_-WJV=pt;HI2-4Zedv8e^<C0-3Er;a})nXu{eg
zP<!wrZvL3%ALnNXzbg(hXTpi-?K*4cA(s~X^=G*|4afjuKOYowTO}Y5uM<6v=^c2#
zn9N*<q5<eO*_<>!xr#q6{lvE#+l{~2rB!qOoIdy}G>^lsWn5b%_szt&Uc4zZpRZt4
z4^$cpC8RPJ@y_v$%12EH@I$WaY~?-lV5Z6Lc%{k$zU0sKp!Vr7E+Uou34PLq!OJS=
z{&CFXvFCaE<BUh~cJ;W2C)Vy=t>ji1MPm-1mQ~2#I5LKd-;yfPtYU%1y5BEer_ADt
z_bMLny_vwzz8my=ZOnovhZsra^jSRJM<=_iXbQhN_q;*9k_q`v$3Axn&f-c`1=;<1
zGx&<UpZ^Xv6P7yNgx<@};<pP$qk3M<;X;R_F{2L*Ajv13D)F4f2cNpkZ0%jZSN11x
ze|2F1SM%e`@r|?i0rSy126Y*K%=o=YYJd((tcI2!!E^YzuJQD<S6A^>rdgd(1Rd_l
zX1wY(o5y!p=UuCo<UkVpOeUU@=#Zu!mw&)$0k;?ULkT`fM8ppf5^N6|=xim#e%!l=
z$0)tIWIx4;>Xo<)%C6~v)8a4lg;z^>O;6g7t0~+lDJYse*R2hs-o(hmmMi#Bj-KRe
zYhGkhOn0}XX@h&YH&K0M6_-D$U%FqNA1QsGC33`5Va|b+);>c(K~Wyb(b|G&&#6hZ
zn0^Y}k#gIaCO|~O2V-|?`v{}Q*V0BD?J3aW9`%lB%83GHV|v=&tVjE-%$cNWEoeW)
z$6}{&p^eJ_eGsRMqJjGo;|b<k5LIO8d7Z$6mfMPM#9bqygBM;$Kd2|eX!dw*?p0p2
zr@n^wgQ_@c63gpP_9TOuaQG_Kl^+d=G*2abUHfm#-ps2UWJro?{k7Rb5D7c3m>$WM
zLNQfHbbq-fC{|q0Hrg$W#t*pk(r-#5Rr~D`!>2T%^?ZkYRPK7jn`M=>r&<<uK7V&Q
zz*!UWu0I+2E+UF*lMbcsCn+G$n6kkXD^2j(SZZT^n1o879p0;BqljvK{_Kyo*93Zw
zII*W+485y5xz|5O32_*Sd;dPJ3A;%`!y#uR&@QWVQA?5va=tre+xuD*IOu0QZWv3U
z)AkodbFZr+u6CxZwGJ5?x7nGz-yn^q_gsNOQ+3pC6WqT4JsE~y?66*xkwwSFOTMK~
zY9POdNr!YVYr)ZvHYs^*d9={esIj$*j857&_LHttp#AriuGr*_D6{N~)z&Nu>f0Jv
zTl<R&2K$@?6_ypz%H_`u8ppK}kBE4T+<qOP*UV4ISScg+$Z7UgXBxWM8UD0cfewE{
zi=?EpRo47Z(Bm(ebi_}u^Gabdz;+;GY;{f*$-TCAsR&`9{LL8@rz1@0RMz{O;jNBH
z;vI9(44KF&>EQ>iP8M`-3GLlpuYs0qbkqEQGZC?wc&F)z9%xI~zIG>*QR`->q6}Xa
zO4_1NDx?{J<ju{u;!kU#e7&LN7bPrY`d-fc-I^{vT)Mv!@`{3NDi2zA)UeRm$^$3u
z`AxuEa+<HBm5Nk&cEv}fvXHN=`7gGJ864qhca?pkjU0}g`u%Mk3(3hGzV$@{1M}W5
zRgI^0P#Ax^Ml+j<dPl>yCB*?~oGl2<p3y;>+&ej@$qck=Fc+wGm<_SAo~aWWG-Q4S
zt8ltWLzTKE9AIPt$L21UjR?_D#5b;N!bvKM;W=Ux)@K1}BMpCE=IS8re0t7tPBP+e
z5AX8dZwZ+pth$AN+URKWg2Z)SHI#cz?U+K1B?SNd0y$$;lz(geK30_yx)9WzZaZ!X
z*xY`Nlu`<E+P@N5u}=;WRC=RHbCys%(bxD3w9tZI{jYdj0=>I;Lnf=k68@Zgxu|?k
z6O|Qg)v`Ub9-S0@$z^xT5^M*zQ^SVTkwR+4^o2SuwC!hwlCzEFnogFpD&*AAPE$U~
zADd@!8{J~V&pj5Pz+DhLw?zd7pRhLcknhG#FN$IN0xe)2tzEhQgc91Xlb2X4_Z7<w
z`xCi1#s(~)w%*=%BT^qA%+TgXu&(NhAJaqFaQ|MYZ}_|{+U<T%%V6&`W}e~5(*F<O
z=+NjL-pUQg#6RzK)aM0ku}^7KJs6;OTasTzi3IWyZqFILyn=n+IeE6R7lZ786xA2M
zNa&guXHC;N0*stb7i=3dhi$E2vA<R#sO_3$oWC&#<hb)G1@f3fyO#dK%sas~e_w9)
zJb?qW{cq$hs+z&6T%VJhPx7Lx+r4aZk~pB1X!$wX&J?^irTA!Oa-y8hW0mP{9N>F*
zZ17p62?(3Zdz}#@pbPgybqBaOAn~8WZAQ5<EL^WI-qSaa^8|m@I&p&l1loAs(P<+%
zH5W#e+&+b`R75s$Q3<f;MNHPLsnObgN}GiikK&y2H~r3quVUp1lff2AhVa6XaIfln
zKc1YpK{oNx3YI*@^XONX0VLk$6RG9s#Lp~RbAFs##+IMnkM=b-fP(L`Uvs2B;-w=}
z9$OA9V+mHIhsUnzgKOOCCZUvUeE-L1yIP6M*q!BD#F|w-h&nBHOjf!UBj~@+&VRpz
z)ubMH&vQ@@ricTweOb-e>}2o#cW4O{*;%%q@4GHsiV|%UD(S?uoYY%AhnKLF6K>vF
zcDhhSyqhK;_Z!<|@yCmI%Q8kh{gxV6$AWLKIDI92{$R=$yW7QnEMte>G5ntb3#OzB
zh3Fi^*xqh;*Rp#nn6E+g0%tW7f(mZszdZI2E7B^YsXbW5BEGig@7=@%;su_3SHCf=
zveD{TKnMY5y<R`6`osXb?fUU>z6tCF#XN>i;Q-p0UlRXr26${|=dubWF#&OjAE8`C
zu);a%FieNY2a2T`4%66bZenB5G7)Zu#Y*@@(P6?{k8=mdEM^)*VBM7B0)56x=@Cgf
z1f8hAK3P471=w)-;m+Kkx>t<0w2ua$Cc^RI$^!QB5a*7rXFTw7tGx^Bz7Bj*sZ0}3
zSi)XjOS<F?eDGDsFbw_EhK<#vPl8uhFtvv31@)8s(A1}JVANb2PH&F33->2L_(HIQ
zZi^svwH579$fg4GUvn1eG6$R?Q;UZCgu!4OZE0AdK&!?NugsrBP~(bBtQQvnxd73d
zsRt<#Ai&f54da6EV~PWUJ469_r*WwDYQfW}r(NH0ZfJN?p|$TZ3FKGeB98@VfzU&Y
z`eY9;1PzFViBrX4_{Vm)%sDb#skqd9PmLcgUmQe{4HD2K{Yd4@6*ByG4bqh-2|~tg
zW%>2#QqceDYvrrWWLPiH9r=JP48nW<`@)WthAlTYC+qO8{i)bF>S*wK_!F~%KQcoW
zm>lGno<B69V{xh5V@d=RWj5blY>@}vSeoI_H<}QjCiL*HEeR4etVrLL6+ww4VN>#6
z6Q)$Dory>cj4NLz35F_x;m?6*Zo`^TYB7A2+gSphe)9_t`=Jaw^b0?9QpoUjWy3!K
zJ}Iy`ow{?;T^0V5^l)v=AOlUH$%gmW2Dp@-`}otO8obz3a&woe78snhxXsrl10e%{
z9ZYgGAnT{;XN^Bvz<u15l{F~`BZm`{5BiY7Fk(pk@GlBHdpal?&e{m;dLMjPPp800
zAnx!`OdF1;KJBjipa{1QMp()7YQv>giN3I89r&Z;!|_B=8JrIk6dwJh1Mlsm@^5I+
z;drPz-?`l?P?1+8->{Pod!8OSTu*1fYwiE4Jjzrd*@c=>vlh=aL?yTTGNGXEMw^j@
zIviq`P<PESKp|}Z-7nQ^cVuM{I&eY*60J=wuH-Ty`jHP)W~&}-AJ4hn*QyD#zX;V&
zHCgb&DoK`aK_6NgYS?}nTCn$I_(0@o77S{I#(8`+gt$6~9Y=gAuyft8JNYULE?1%K
z|6Uk_?dqFot!OGl?Ee*M9>M~>gD0+Kl$k=Lu1lwBs5YFFj3VZ(G9fO1(<|E&b9nIK
zo@+Q$2aNl7)zw)tL1J#`_L=Pf(GA~1)5~;#??c}UGjj%{?#wo}(r1H6^tuBb<2qoN
zxufLwFb(2=SiQ*NvVe;-rJbaH9cUPn8n`q_g@wGI?UJPyFdCXh8cEWDQ)I8*Lu+$&
zpP4t)G_{1)OlL>80c{XKMcW00)S;`w^W)JQmY`tXXLNay3J#YB|GRxc8HD^F)u=XG
z0#8xzrus$-%y;JB?HHAZC;Vz=?LC&TC^zW8FHj4fsONYNIY>cBA}LJ!qa{RqSgJYF
zr3rDl2|UskqL9=h62`n@2_h$+Ydm6Tz+75ek|E*+fx~HcUu?02{o=jFmBDJ@+}Gb?
zFt~)>C=lR%_QwKjG9S;}xTgXSS<arfGlntui%nAXVHQC4#kj;flmK!pBW@Ml!CKDz
zwCGr7gDiLcx+5DD;RzCU_cQ6mrxzCPaz(R2cb@xv>qj}ba5$`xa%dbceCTuIB!La;
z8Fu?DGo+zlerTXfZx&zZI=%bSS%AGBQQlz*lJG@+?D$=WMf~WKpRmFOFwk*hRkBPB
zK2*f5$_TFD^Hld;sZtm;<rFHWNr}Q9n+Z4VqE-BmP<yPjwmEQhjW6{03xj3uvZuBQ
z0rlt4zopxn!NdFG?@ERF!BJP`ewIA}Z9TtFdg6#FlpfBxab+Vnc--H?`BH;`YKsjs
zXgMZO$Y|`CS<^S!nxWnEPgn61>=4D&c4L@)cxu49V+k82Wy$;fS;0TLCZt@KG6vf4
zk4?#Xv)C^E;xih=6}&wD?dhMMMzATGH_eMaflZFpiG)fo<8gjw;y(%u;U-7j#qh8Z
z%<bJtn!L#p&h;ezk@AWG_{Ssi+mv2RzU{*CgGU!}JH6sBcDoF~&eC<lp7b3PFlCq2
z)Gy#VhYuZGF4qU?iKNSx%=eg4UuCczdjaQVbieAA)(3cKxzWDt3ii6Y_{@>sdAw6K
z_QlH>J;?BVE7viG@No^-MEjC?T(D<M%yLW@?!T&6JQ(~HXWQs2ixjQ#Xo`f2-CkXI
za?OwHeCBujYKquLtbHE8M;&R&YiEJEYtd@zxo+I|t*0)h?gC!rZ&AbA!2<cThpV|u
zy?C(Oc*pkY1^oOR&HvL^COBVTUKGIw@T0pdL?zBH;#W=1#JD>%A!=xeC&hgjx2T)p
z_d2$Ozlj@u@~(pcH(om@-SPg1=lcIU8F*tEAJySk<nm*{r~7A)4N%7LP;vfsEek7n
zY5dkx9Fuflc;_s4JsiimMV*dRZy})al7#6OadcRBwKq_gJc%a*%O{Y*f!N=VUC@xB
zgZQze=hEd<_&_>$e5WB1UAVe6@0LFeDo(W-W;o2?or!*4)q6P6=F{oSkUKgc;nwl*
z3}Fs$5cTAfdc=jWs3)A=J=$>a&d-|i_w)G7Pl?lNGCW8|m%X@wq7CB~tsHzMi}=4#
zH>-0`cu{$BU5!g56(plIzPVQ{<Nn5tS;|NFQL@Bj>|iSe!b|mkmH%7C$z3gVn71IB
ziJ7758d5-r^L1ygItTKtzWyvMN*I}5c(ChLt`;Pgt~Y)iOhj)=%vN7Ctw+kt#t|85
zE!fi)_nD)W6McHvBdD>)rypIouE=DQAy`$*BhZZ-DS4BR4`h*0?>lMzd{r`pmCD&`
z5qMFPHKl!>yf|V7JJ}6YYQm3=2102c`A~Q5M}O)&2}FETnq%mz2{h}V_>DCJ2wEs7
zd$Xm`?|wB|V`)v8NVD}z>JvgfCqh+zUXn%^-VmC)yER~RJI}^^gZ1c|OC)bug)9<q
z57-@9sR15gha#VKiJ%!j=EZgq1w?wVo9k_{2AJTVJpN%MM48h1rDv;%%r+$!jlR-=
zlm%JKldr{)&e+ifo`*^Z?chCB*rx#py<5&%c}k#jy|*g2%c-CmncUx->6*|VEw@)%
zK?<2W-+Mh<po**x*=OFls|jN7K8-{YrBTarc@@P;9eq7N8*9ua1O3*s@pM61G;UKE
zpeUk=G_K0E>X5X67D<o(V<eBV?;eu<&_hN;(x(#T<tTvqP|xO+jmRW(toB098sD6K
zd4t=Z3L-LBs||@t=&{5lrSFflky6tuZ_Zh5a7yM%4X{^6qX!3h2QSgk5&OSEe_Lq~
zp4TV1E?)(mnE$FveMv`VhDk&pE(VwfYuWRzS3^E7DiqG^4D{GX*=xau33q2`U8@o5
z=yJBt&e#AZ3JR28s;p$egNWWj$6*cRtTxg&E6zeeJhCFc-1Xp{KV9@cCo;;qxExV;
zm4({0Hw>An8bFEm{^R~dTIh#m(ecFr7V7ofs^7Q9r?+d>pYV-QkgE%`S$~d&HoZ*R
znJZxeE0v*r#v<D2V!Q(XBea(1a6lp_*$kG?ABvqL>Y(XHj=gRsEcEDmBj;sf4E8Mj
z_z+X2gD#!dA?o=vQHAaBp1n5!l09YJ8TvHj@v%pqV8uWWGd9enCa_^aVcc+=9}Ruk
zWa41=l7=Kwww_ydwE(`L`(N5N(a_>^tn+I)6|Fm)Q?ATo2|G^zOp*VlgFH2oT1tjB
z(O6VOLhJ=g2syspWnM}L%}n?fpJ1pV;d*O-(_Tv`IG0ARSgT*W>t(UiF(t(MG<2UT
zVg)>2*Zs=hQBXtpSW8EtEQ+L&lB>n6Ac4krD|V|E(#ur&#y2dE4yrp%9+|KNpUphm
zweD)7x|PkObC-otvHBAbd};}Kf6q42I@OWllPY=ZZ$wnkK<JrrwS<$eyp%t3sUg>>
z1<~U>CUJCI_-o=n3rMeW7`M<+L0@`uVox0Uf)914R9-)B0n*oJ6^?9ELiYD{lUjCm
zV_5-m>gqFWh~!DplUY?j8HEW)x4#+3@avGL9m<9y7aEh)6J$}_&6c;V{PWmqhp12W
z8lS$Iji=>d8_;^;J>D%&E7;2_>snF}05J5nF{u*Bf7_e=K1&1$C}L8WT^RfpEy*u-
zB%!JR9o{i@B5Y6*Y6=-Phd<LLvDv=s(XDT;TYEkcA@#bE@uw9t$P84G=(#F@UjJ;C
z&=TbYOHF+GvYZ)2jy$no0S|If<m2xZ<OFFB_UUp<Q&8S(*nHZVh*INuWz$=Tu(9Jh
z`Aet?G@oBc4ZXFD6QwteWt=90mb;Pvp+aN$Dk<;X;W&#&#cuojSb_+K9odUZe~p00
zK_ObBbR4%*{(Lzrj{_1^GyLaujo`cQ2Ekh2A-qX^@T51!0p?<CuFhCP*tR44j$TAJ
zzEn8uA=pEJsQ$2vl<x+hztMP`uJl(tB0BW<?+gNLRK7xu)HQ%P3IAqV=0n^86FvXU
zl>pf!Zag?kAF`bJ#t($lV#>M)lN<C1Ag17Ytb9=qu4znd(UNb)C^J*9eo_cvVC`1Q
z7oZ24&bhDkg1a!fpsMR-Qvyi19Q#9S(*@I-q>wv7eV8CSxm5Z90n)3fn-*<#L3&q;
zB>Vj!<`&hFWA~H*Bcd*qmTy?_(8Tnj+mFB4?BRIj$qgJZ+<1_Cc&)?NEE7_*+{ZA-
ze<s`B-{gQY<GQKVIwt(ycetrqe*!aCTRD4$O$7e{XO5YzOxWqHA2-D_g*Efj$}PA#
zVaTzW8*60%anWaFZ}T)}vGu>S??aq$v3Ij^p)Uh2@9a@*xI2rzNfKDOHO2+oqJHkf
zX6Rrr#b92Dn8)O!>+g|dc|hH<h0T#d2fwiU*(JV<Sl1QBoY{lC@b{&I3Q>~|E^6|P
zvOdcg;ct4Q+wV2r+`4kPJe3B^NV4us_$n4@$x(YTRsgh__xRnv=>S+jr@sJyop~nv
zI|15VE*!OX6oO)r%td<*9niV=KDVEb2rqlm&V|~qgX7KHe{scV!-YPC#oKd&|FOYn
z8YTkw%x;l|2dH4gY4K06XpJ}B{+@C;DhkKd#JFX4QDMK~`+cDrJfOR}P?uaog6Buo
zs<@gduxfP2xM|HFOV?~_nPP~8MAw{Ti#r9ro(YlM9mx-K+r%VFYb3z_sB>oRgccNX
zyD04T6oi^`{dD39DabD9DzMGg0{d;#a^?ZT;5q%UO36_g#^;$tilY|%=-%|^!p-&Y
z9t|FZ9kOs=6FVCsrv*Jr6txi!QAm(3^a?m54{eyBT>LT_JYzD{f7z43>vF5IYuiSs
z@|qYmnI(gy%Ed{)=VGv%Zj{c@QG)*g0096043~E}mR}sk?JZt=XTO{GwUYIGjVKi|
z%7{{Fs9#ZJG(=>FN(oUZiHu5#=s8A8Dzi{zWmNXwe*QhzIoEa0xz4#i_ebGi0ii{J
z0-p!jXj_cMp`p5s<8Guf)K}=xxy>kG(&c2+*DC>yRkJ2l^C}=(NjWK=MuDV<r`F1|
zrNHad^N_JiYS4A;U&T8)DjaE>sHlmP0dJGNKG&s)a4EyK#_Tf{q!$hlf^W%zyr=&~
z?)M~6=xTXxTS$XiS3CWe6$<bo=y9-b2n8mlli&8$)8X~X4BN}Air_SRlWc271Mxkt
zOGQbVz#DlXsklT5POS{OS#oJWP&BJd{}Bc_>mHJpTvUdOgXv$pD>dP&j5Jl=jR`V0
z+IWn%sY3qrPow-|1|+`RF;X6=1*^}y-J?^~z;d`lbx!~jR=s%i8{cU|S6ytD^_V&&
z=tOtEQ`7>f3Wc|9bX~}eka?R9B#133%wW&a0_uTzM5)w+!I+AKlTl=d`8jZ|id`Ef
z?nR6JJg*OTmaQYBD=5$r>eAmr(S}NiqYObS17KGD9vk{j1&&udYvSVC@HxW}Efb9(
z`no7(_7e?gX-6#F%e8=RopjDp&;$lv>@84Cq(kR;xXcN8Er``uesgvhgR?Nqds$us
zG=?+tUg$Gn#V7LpP%FUmPRrwgCpDnBi{d;i!hnd=LOgBvO`-IblX9q^1`Ke%Gw(V<
z2MxjVMZfLL;6(8*xUZ`LoktDFviDM8@dG{IzS|7^mU)~S3h3~GF1-ID9}#@`yGQM}
zn}hd6xx=P@8ocYkmwB^Q;K$~7hE6f&FmgC2mEKMTm7Q8ryLKo7hw3VgFWVeCtYuC+
z-KM}kmaK27N-|)pq;g*&!yH_#D%aeJWU&8lnAd<P2IDN-#w*X81EtnRmT;R0Tj|lQ
zU!w%UYPLLqplc4r<x}0KN7cafpU<4KGzX+d1fGicWd@P&J6Cx1RUxx%zHqzj0w#OS
z!Rc(E8SIv0dlVI-46Xw8QVmxIu<edmasjs)JmcoqwEe6IEVEJb^@X1JznurJx+R*z
zrw&5hV`~MFf43g}Xtf8wTT!;uAZ`lt3I%!cin37L8qRy*+bEu<#@CmY3V=?ZJ*cK6
z1)u$=9f)_Q@dW;+#WY2Lq}|b)mJZ_38mGAvzRls4tizf#dkjwQnNj&zDgtHqU(h;#
zFW_5K$Fd7gn81T)>*7Ltg<-H()2o7O32&62c6btH4Ahhl$z!$xF#N^EA;)(K_quid
zn_r<3e0O-o<Gh~-{Ii#}tR0u|ityiDioXoOGr%qC&u0#3vrDPT__l~Y$<($B5Hp0i
zeT@&t(^z5nyI^mI_#!UpP@O`wH-IH!W9bhOs~DAZw1%LufG^Yh4Zqyp3Ky*tzr^@2
zU=OVi-#Vr}k9!Gc`L6fsgXlMn9Um5^vF&jhrt!LSxVuVt!ai+%cuFm6Q(>LJx&m^a
z7r`u^E^vRVf6Nvrx9SYDV*P`$&h>qqaG$|1l=6nM4C#T=baD%7>BClT3)aowoW@yf
zI?{8u>p`nH`wBuoFtJm6k6js>!jt8_KF|wwp|Q?ad{LnZ(=`(KSL-%~=htOq?2^%i
z(mFxPGg>9qQ}bSbcxn<4i@UkKDOv~YV*YDNY)Zfe228sd1(SHAnCrE;Rc+ACI-dDQ
zrvyKpg@MQQNqmdz!3IZvZRlL;3=--3fQKbZw71-x#8Z4ru5wOlfklkOTI<y&JZV1o
zO6|Kzyyt+Q(PbYku-8*ctjPI}YbxAyKOi)Pw;c&FdN|Dl%W;VThx0%2OXlR+wumWQ
z!1*|<b1)Oitf<k?S$puQMQUZD@-$v-<uet<!36O@BQbZaKK%0GfI}*S(>O<85LM|0
z0}hsuAC&F=jbCi}ea5$G2A|f+@f1>FzzyP#0}lfR@xMz(Z;A$H@uMoA@aWT;@bJI&
zRp)!dc*@FHp1<lmE`8in=j1&N_;>q7W>LdmJkeJ(qC8;%_u;N9C~BsI-$io=lEf%}
z?;(5cBzXz9lke)^y=fy4P8i7X1&-r96<FTl>@uEX_0QATjs~3F?TzMZ6Sy(3(6`R7
z;uom*0z*@%FrmG<#oK8Lmv@;6_$tMM6urFN)rKe=`ApJRc|VQIbEIx+a%4sKhDwr6
zj3~fAlJ=OnXBKa_-0Q3Pf(@Yrix*>e$naGD_QSB%Io#>daL#*e4)o@Pskhe>3C7Ya
zvh=<#;2uAl>F+x^k+pglvHvg$Qd)gK=6_hiJ#zwVON+SC@S$X>@>U{z4KK30Ikti;
zI0Rb9zT`z!@z%X=yNR%q7?d|`wT|n3Wh;&N!;h-VRk^Ics>7ahmRwOIENF{!=I_1x
zHlg*(J=&Vi>L758MdhCZ8<HcGKjjG(MyvDBuKxU|1~+DYeK77~M`541+HcJhkeAEj
z@!c_M;I}Zkzblp#{a%(mqklsbIo8w*R_Lg~a#{}0vBTU*_;%tx4o7h`(o42^Fro^F
znh#!lbBq^-vt3Unfh6i13u{F$Re>d7`Se&iKYAJ3GBn^Kjg;da^BTvg!a{m|?*Z;j
zsCq>GW#A)ORN!em@E}kXnjQy+eR2{;b#WY<mz5Qe)$5<1<}Rqh2^%|kxeo+1LESwl
ze@YP*$jRJkysHWy+f1LXyNIHR<JR2f{Yog;E<*OmcU5?i(rEWySR7pw@!)<Ipn@b>
zrYr8~slg?mvg>K15(pffE`^fS(7P*RG!di*l~dbAeWs*PEBVn=sRea}GlWIVgVZ5u
zEc!{UqAaoyHxtU~C81z{dk4=GL~y5lQVkE1M}JNYydLSJpp#Eq8=O-}fR$I(<gIK*
zS>>xNm2)&ypYb;@a}xzFOB6L<b5ug+*RjeRaZSX&<mdmVl?oU>vwgZk87-w{x#y=c
z&`0eWdj2#W<aSA9Y}Hpq<MO#bD36$kBk4iu)~yVn$&aeO!_^SS*tw|s3@!A`W$4t|
zJSNcTlQCy)iRgHt*3<1*w2@<@er^38ZHQ~-x5@4yAzG1*WQ~yya?Ac8=t$KC>xUVf
z|GX*aPUs|;@dq8W!9!~Woh{&9(^o0|n~HY%c6@RZ(M7CL<Jq^4Y=r^g%-l$zBkx`N
z8}AZy(biw*O4y$p!rnNQKL2wX=x=|GR!Nx-iv95L$aP*5us^|STy;hhU3qlwup_q)
zI)d-7b)y4}b#bJg5M!W`)sT<gb6V(#Jn`vnD^obxp6B~*2Lny*yjZe3o{5&X>wGzC
zWd?S9g_`RQ43xZ>_`JGM6BXRgnA)Ra4wqvFZrxxo(6cSI<W~(;wDiQRr>fZ;q<`r5
z7QfR(d3z&E1ha|gdBm%7FFOlxX(|bMTBCuKee{M$JXKI$OH-9+ss)t#ciIYHprfAV
zmgX`~1ynC`$=T_J1!%P-wOWi)k)wR=t};IfbWnP0T}!$J2-1U(^phxP&eiXl!nsW-
zao8w7=AZ>Qy!P6cX+%PMlafPv3t17XLW7D0rv(I`H~CE3qK;<1+~G==`iDP#UGsS1
z#s>Ev=g*j_tD>k!kB9oUG-E6DkbY5uIV@jY4U>~lM#ne@eLEDUv0Q6?k(CHDAWjY&
zj0!8Fg=>Gt&jhbwiq|gP>6qKNw|qj&17kT<Qz26p8qN+uWy?Z0j+w$pBi;Q`tQ0!(
z$i16zj|)OK9ZMVd0pPd(y^|^?j=n$QEhwtsfo<bndot_+(wEYh+MNUx-66)*kmiH%
z+Xri6GBMy_?Oyy{FNlIJ#Gb0|<O2`=BOZB=P2i*GF`w^;c+jmB@)I9Teo!oH>iAk>
z3}u03F|9%DNT2!a9ETP^OpVO!$o^&oX#LxXzv63n(E(nSsC7P&sOa%bSu=zK|0TST
zmY>62v{v(b^7%k!dh^L4rXf_`d$z7OK8n8+w}PuSd~oHqFkk&?12C3OU6NJn#ih7+
z5y<1b5F448bESAIcyryUKiOJ~YuvxJIUto6*4|qQJF#sA9bMsLNWKaSO^CF+<;)97
z*beKb`}Bc_N801ysh`-EOG_%xG<o6PX3C+Nms>!Z+9GJNJb)dGAnf!|<%ND0XRKOc
z3+xZFn(hu9#rlrb#>*M-!h_)I(<LE#(7@3e5J#NCX7{oU2A<;u@x2wk5o5Y=s@PR=
zc=s#@sR`e_nt36&-h6uMkS=@|D>&?CynyAHj174^^T9)WW%IXA9oTExE%Kag87u3b
zP-)=e2b**E%!T&rz#HvcQpwX*EM`yGV%aZ#cvV$gk<_!%=hGU0K2=}=OX0Vx_Pqid
z{nW|H#akQfUD&8!53>S^B6j_=&?YcUkr+L_s0C+ArT5S0u)*mgwnmpu3PCxcD|skh
z3p%9L-h@xFgWi_rwy9uYu*)i4{Y}(@<ZXM_lPoyFkWJNKzcT@r{OJ0(KQO_tEVYU)
ziwojVb;y{F2s{wH+ok^>6V%?Fsfi=-KuzDvOC<+HL9$!%ii|W9V&moHDsS>acF^R{
z&R8*+PdM+FTF-#FKmP5abbb(eV_JNtRU9VPJVvMy47fe-)Y01`05Pw0zt9aOq25CD
zfU_k7W=iej{a$PWy+sqAVI&1gJGSdr2{C}Jp+6<mUKnzI_62etlL19(=P=uv4WF8h
zPiS{1Kx59epj-_(2w~6M|M{XO^bPOaQFBoQeoB9s{3N9SLOxB07OgdbBRll*n<7!*
zHYJ?n7F7gA?rmiXOiide^-PkmECxRF8dPVh5;zKnskLm3U)33n<8qe(()E!Nl9Mv@
za)y!CZ8ag%L}lPXn<S7!Q)CAcRG=fAa;WS2MxRNtxsZEO8u;?r<In$41<%EYg>#dd
z(5&Wek|-?;>8nn9O4{n6#C=dL&V&ID!fjJ_y>c*q$Ya3$4iO>;?|oNHWk7=T+A-%U
z1z7m>w6}<z422Kso2vzxu=L8UH{V?mte4f5ubiX6j-<Q8erZe)D44L2@=^lvuRr`p
zdZ_T<=4;*j+q8h-Tzj_BUl|_yz5VgRf)1Z%ZoMZ6XhUPeoA;UVD!}~jxv2bY4fuBb
zW<=toHYk%G$7eoOg_St!ZoYa=cyTq?uVYpRs5uJ4<XScOQ06uyaEbxd^qVHzr1W6z
z<0S3NFLfXul>K(4odLGZ*udo8EpVy3|LVRmB6#k8cP~zr3H9vX46haFL*JV-%DrPG
z5NH2G7PMx9>=U(r95Mz_Ahq9Ou4Chz(?#vk=1iEVIW}B&!w}B({&i@|p@3UXn(8|N
zCIpS#a&r<k22M}ne6AxE+FAEmt7S33DpPp}DcS^X#kdyBwo$>19%16g#enoUO}D30
z7*KltTaTpBpxn_Yrp;FaZpZyd6?g!Um-kyT&YA|o)n0~OmuV1N{QLQ1JyW<5$v@|+
zLxZ*(uVORID4<tG`(65K!?U`71hEfMq14H>^JxQd!<R`7qcUdT<mwTZbeIa%OKJ!B
z4AmgNF0Y$$#0;*q7Uyy1Q-J&D_O&~y%3#hXYTS`%2I+!R=TttD;XyV}kU6^|s7Hl)
zq&(Odudl9<e@lXP!lP_`Az29f{xf7(iWyw1Z@);5CqnQhcfzIrBtUj`uRv*l8JG!i
zmx)-agLgdcadC?XB<BW7Xq%gX=^O3r*Q2TsZyp$JFed=oIZp3v)=a@IrqSkQtO|In
zX4;!v;(|xrmJjbdGllSbaqWUc<&FN%krKkr3iO*|hg|oV!m&YRtCjZ~@2%?F>VuU9
zY*EZ{bLcq0;)o@8^iKuI40wL_LCGZc(Gs#lqXAyLb?-f}O%5~-Mzo_OhOy16ej_eQ
z0K%*f_%}C7gD)N}&?w!FO{^s+(|s|JFLYbFb43y&ENpySx|*?*AL}M6@0-BzNW}AH
z7jY04=ax}D^B&vEZZay}VhmbbPs~L<L?K?B7?1rZ!B}M|OM7{ZK}}{|>OwpLV)pJX
zYH2ORvVz1jnHEOiAlCY!v_S}-C7k>@(p`krpMGN`7H$X?6&?~h+XX;^;GsU%`3B1f
zx7B9W89;^q+K@Ms4`zGhU%w$$V}{f7XK#rbz{>WmJz{O#z=(KRT)b3|?HL>CXB^((
z&YqwHwKbejk?*m5n$dz0w})E(EzyT}nL<l%X4#=n%KMelQaiS&^Jz;uK_5iU4nz~Y
z*x<5WI{RVmZmdtFXHCIp3k>{;Q0Cmk3cC&+Ozr9J!)93(URby2L2A>jxW8@dSd_nX
zQQx*fY(9aXx@e#W{g~_--q}^G$%a1~fBy#)on2DrexeKKtmB<`om|19a!$G3-#>~~
z)S7fUO6tP;sH^lY?PZKLow1-CF@Z(g(AruXs{<(>q{xGoOW55J!vgE$Q<%=p1Jh<4
zI`B8?GEa8KA|}31<88Xj493|W9s2r;HdOW|C#>l$V!mVFFXXw+VWi?|5n)zsVC2T{
z5aM6NewtM$<@hdOc0%%rW)WJT5_@fvk>nyat=oFaCUXhX9@5CS5Yz&mqba8zI4@#^
zG%JC|;T3HDSiUIX?uLg3pIa9EvWR`8O!0oTU&m;bx1MB^Hhgp0?8@@lCG5`~A3o9~
z3w*hI=pRox13ptDw@2+*#{Btz@p#&>L7u|3Yv90ufo*PFzIH2^k7T;YQZ+m92{C_{
zbZUaA8}T52)GGFeMef2TCr-E<IC;NEMibay>Dif1u3?RnYUN`b+`u_s_*chM13vU5
z6x3R>0I|pAy>c55Bq&wyU@4-5mw$fa1x?nC|HI~Vs(}v{G|N=7xasiM<5v~04jcF>
z+#C5gDF9sK4OX|0)4=eJ_4=9<J4{1+_gOO`cwMKcc&3F4u^EnR8h1D#`0NFri9TVd
zS!HDW-cE%}J=^@AEpkFcQe~DWh=2&~%2I0`1)9CKt~Z5nL;RS@ruDa?V5{=RW7j?k
z<loS_s7K=k8=n_$w$9?<8k3R`H${f?*b&}BR(>F=x4s;Zl!U{f9goHDk)cuO@WmbM
zf-sov{m^Mu3VeuiKMI}6pnq8F(l#9-;8>>*D)Gxgw4c7yc_JA+eu?RDeijBHalSW?
z%;iDoT2gx-KN)(=+0F<^i$Jy}*SGPU&Cud|c%Xxa3{zh^9GAmHq4PDJxJN+=T0~ju
zUMp?v=lF+$Xnt{c@odvfdx$b*TE(X9btQxI<<~uXiX|YSZlGOcQ3Vn&_~a^<kRkg0
z$C)>mr2yZr-gF>Z4O*;=1Nn?8@FIAmvEif)2>i>c+M!7V>aOd2w<b4o+Jo;D?V=nI
zOwIRg8z#Zp1Q1GpPyt_KUoS0GfO`Tu>)u5aa3x;uY+9p%Rp9A5JWLTJl8lnbVKiXQ
zop<m!q5=JGZjl8QN)V$%3YmA(06kZ6><146?!Rvp?cq{^$L|_LI0+26H1bp3l8XtB
zZG-x`ZmOVbRWK|v$^iaU=E!rJ7RYEDYP!BrgKDGZ*{TvIkS0|8-7jf_qFtDfh}1@&
zuesSo9pB)zLrjtQf)4a#$@@I_BZ16o^@gEYEtsjsI$x*if#=SEmBv~!*o%bT|Ldd;
z%pE&<ULMqkAhKd{2PYLK;%~mJyQ~fPZI6ZLW(FW|cz6*b(Lh0Bi+jT{ZIE3tQSs6<
z0`t?4XNOeiV8l(`<H4s5w72Cec^W3*k{og4<rp1gWYrT_4{3ps!o1H$t%Ng@#LrqG
z8t`d_Yn$O&CTzRWw!%IS(5WP)cl3(}#7_mUXc;qLq9H?|tIiZ+(;a?aXwd+Ue%W6V
zX>?e)Sd%3fVg~G6uhe;8*MQ}+yQBG@6u3y2%TE$E2Z7*M{`PBh7}IH<t{qbc1-wBw
zJlGumV@nE%SEmE1XHwVRO9l8W=GxD^HHU^V*LGh)8XQ6jNkLyX!-t=0IXhd;fjv&X
zrtU2TG~QqQHK{5Mb*=30$sf&uaQC&dj1d{+=f-Vbt%|_bySJ?K)67B6BI8TzT_SvJ
zt1aZ1;R7KPZ^5IE<`8M1_Ab6h4SIJUj+1d=1z9u4P{x88RE%5Ru#;7V*5fMPb0?>;
z`yZGOisH;*zlEKnoTD;yI;h%IbG2fUpIJtxCCs4Je8%JYO+}EgGsZHPzvHvDFHMco
zOhN7T-#tE+^6<5=%?7rN;Cy<0B4cu<aCBk3l^G@jk*_|*Q;y8w%{2URN(O)dk8ky1
zUrDe_PatIfUBC(5KT|d-1KjG`#Nm8P3~DZf9CBP+#=CM|90c}Y5dYt4%BC>_*j_eh
zHXdHZm#xE>{k=?pZQ3=MvAzj9Jyx;~{8__gT2B6z2{Q&eJ4W16A|C`ZL&}%8uH&sH
zyn_Z$jKGMhX-~S&1rb+Fk3HjE$M+Vsf5ux4p$UD9elp1hGkIMRlOb#PWP`*74?aV9
zOF8j%zxO&;c5`ufy?hmqw~#>vRtAvX5!>mUwTML@&%N{P#|nP2Drem=ZY#KD^_;X0
znZbm3$1u0iW&E(<H^sy@eK<3?>t$EhIF@FcIo`vujC0lYm>Q7vq3P01*`2jR*c}fJ
zf&+aC??R^D%~!U7chvm+rPLnGWkimQpIOA8T$^Jqcj>|QY8LH=i>;Vy)T8WA%?r4x
zZ?)7R&;z@2;izpMRoL9W<Pt--1>8KZL=4~HX5(8$k2?i%xQ!-p?UcX*eyaZT>lRU6
zs5H*9zT8!fyO92P6%5bg%nl1>?{J-sy!2S=muSZI!;;P?PtN0M?+};cqBclzhAu>f
zci`%CSI=Rj1zd?6a!#Dp25!DI>o9r`J};~38yUZV2h0516g{p5FN(g%+q(DTGKrt}
zX(=z_LwY~<C;Mo@lXLf~P97Y@cMFq~MTQpfR05aH`B^3;WQn=CTl~S_+y3NH>srFe
zF1vaqFEc@8Q1g4T_y{ikV<9w$a|Jh^{Z8`c+u$Zw+nx08F??=$eVTD-6?gu$89X=q
z;+BA+b=vm{T={gVYst(Se&2HY(OEhJ?)+z5WN9&lv$sjdw;W(Wap}2%mN6Utvj4Gf
zZpAeI!dnH+9AZTmW`EnZ;~JoJ+7ks>&Elfj4buS;Z0N@-tu%jy4yh4k_S*;N@DgpA
zQyz8f$U*6-Tn}t;Q{-2BLB;}pZze%wj=_oagIFHjj-x?3EiKE^e+jpfv~22n$A#pE
z+m7;Vc#OgOPnW7rui&mcy#3tgd64MvRo)OoD)1c&d9{?VhHI8c)>pXjA-yvHKQ5UR
zI2`##b@en0TDd#W|KL9X1kA`Gf&c}OMROu&AuHmG>^WETY7<&=Y4~d#Muw}V88>_Q
z*irOSV#ww+VMHnl+>*jZhRdDxOQ8`Q$SxxI-pV2YW#`0}a9k$=>)n$c{K{PD8o6fg
zXpks6(-7;JqDF#Mp`M<v{oJUE&h|4&UK}BnfRG2Dh|se@+h_Nc7o{FBqdgjuK<6sH
ztUtd@gzww0+FA_oqt|C2x%~Sfg;wvsm&`RM0v|;ci=%Bq0s~hK$V)OPHg0gCMwSS#
zu7CBDbQDI0xhx#4+vU;vZWXU=ULtfU1P-ee5KsfrwWPInGnyuIkWL5_f%mP7RJgh*
z3N|?#zSBqvEoJi6=W7$e?~M1it+*H})4UOGRj7<CN2phF0*H_^;cLtcmO#ga?d>9r
zR8gm?`ZHQD5zJh}cF4O(Apy~s!I%5hP*vcsl9&D@2wRIj?d&dt@`QG(RX-%6=x&zp
zZiZy|{Hgw1X`~#wZG409B7ltc^mrQl(5C?D+_sJb?FvXmM#W3bgNpuY<^6N@r$RpW
z;K?md6p`l`DPO{lj&7CT<gr?yL77pPdf&7X`q$X-65FPU8fhJe|9sSd7hg<1+1jZf
zZ#|!tgLfII`R}_&Gv^u5_GEtML8&TIsjlWY8^J{TUU~Uizuxdmje}-isOspOa0mA#
z4=r>y?a8$j6>V4?3V(a%0TKOeleGFIqm4eYAp1dF2g>`tTNjIxQTjQ*wCF-@WV=sh
z{(ht$*!1iD*cD7c$x{cfxDj;Fh|%xT34eVMv|bsFucx8`zL!=?x;m)vj4;1_m;rd-
zX&ijDLPN260&7AW^SSPBwfcD92(FELWE^GFK<as)Ysc?tBQ2KkbwZU1T=PGqzo$t9
zNemqQv%g&n{i1JI)bs}U{OXM~-vLcDmA^CnYb6uiFVn5HIAjV6a_Obx4>i%N-XLye
zPX_uH`)KJmW(Foh#UY$`G|>u^o#$^j9qF{FJ^Zj_2JU|E$}{yfQNXM)GkAoIj+$K#
zdJtz02Ys8~R7Po_gBj5QCpN1iF0Fya50mE5@nc0?Hg02mE62W%+msRIQ>J(T*#d-(
z^y9LuX=v%hw(W_0@~H1i?r4#&1>DSks6Y6Xg7_Z`mwa0mNBK1D04`$z$MuZGW!1=N
z=5NU5Gn<9bkB+NxmwuT;gxwPlEmtD?*ZNe}?-M&}tVuGt9%&90$B+9>1*@SIecVlr
zI)ndyEx!AaoH@*s)nl-mD(H$#@qZP3jd;(Y`=4jB%;0|j0096043~E}m46tAIriRr
z@69>Kp67Fn6jDYsj1WpFC5fiW9xV+mEkr~^O7*_cPfA7-Wm7^Wn@aKX|M$AS&-IM^
zejcUSrit^VDx`ew%&t`mgAB9I+xxp!?a}uv-zo2w61j1&i@WXGX-3&|X4k{ZOeDpn
zQJ;#*lhI|PN_?^lj3!0#-Vahts22&Ilq{Df8@in1)I(X|CUE@5_0xb-mbdr!BNF6C
zw*NLQ1yCS<gT=T?6u1>aV=c%MC4J_tD)|c7pqyYlt)|aF1I=jj)nXwsDXv=3C5Rmg
zAvwoGZR|kVo>|3pkC!w$``y0y9y{{YBz<#yY*Dm1s;SzLlYIK2`uCqoc4Sv=wM$E|
zf#{~A0T1OU<ZIr|8>z|cC}GNF&lFlCa3b<e`Io;$>|ry#E@O5CoYSVd^;*HvE52)C
z-5eqP_I2RHW;Qt7EB^OK-U^4buK#_NFhRI*t+_=HV?#vc<6RLUmS`%?+$nMFE75iJ
z-Z5TQHmvS`TftXhf!=Kgz6?fm5|*}!8I^?;9P#x^^y9FA`ow4ouGJDY5+)LZffS?}
zt_mLwGzW{&lt_u}14dBxGrI-@3O=@b`n!{6*w1(0;;C;dBSeq4C|8_<ncU|TGfgvi
z>HE~2+tkaLPrqSxLXv_LzL8hfpESi?{l(Cd8($dq^J!amm{Jhdy}mwy)f6jZf?kRi
zj52f#&IBLWMM03~3AxBP6Xb`<yefD7$@qHZ#KRX&6x@2akB@W07$<{!X%D<785@I>
zuBy1Qp=r(CpSsb;sIsE^T5X$VaGthwNf=>6V7A7}|0d|z*)C$RDsq;gNk2aIu#g>l
zKan1<_R^uM@zzc<Y@YFDMN&_98VAN`sr9;Sbhwq8Mmh!jX6!EK`J{S+6YJj`{ylMu
zh8U-hDlC2rjFf(zfyrtv6qT<QRMVp27#Xg?ANG%7G+PxsCCG!535ge42`X5<V{!+Q
zmKe-{Pcb4Hyr{{^3z7AwB7R@bNMJV$P8IOz9;fpoD0I)f-J%g>B8O7?IVpH+F6G+H
zC5T(xcN8_;jL;Eqls@Oc2Jx%2EPb59;Cf)K7;@7PqLLJ@8)w;Z(o@g#p_&LDJEggw
z<}$?9{`ikSSvm28sq|0QPZZnFIcn^VGk}9_mfBb<7Z&fId)8kehWu5*`6HA1@G=U%
z`ofS03Furmr73~O1+quE6ZOF#FR5~4ju)b(a-{n+NobVSMJb5s!@VzMXZL4*<k08_
z|Kg+(`>em^ZnYkC)xvY${1!x4S;vom>tr!|i?cL4P7g&=<nZ^)!svV+s%_>ckCqdj
z3m={I;M%IR=W)9TPA_g$U6-K<M$wDCT>5&De4(4gq9cZ&=!)v~yOeQ3h23{fPY>tn
zbXh~sisLiYZ+-Ry6{Pe(GWfYt4>>{aen%-wV)LSI`8s|z%+Ko06elnLTQHiiyIu+z
z;l<n*`_y6a-tA)Gs2<`J#6y#FWUytXs6*_J2C7Luu?KtfA-rHA>=`Eq<K*=4@0nUi
z{*X5HglYhb%~R!b`xVgKc*p0Cp$<lR&r`dU3?cM&>%Xq+N)YiAOPcJ|MU=YY)!QqL
z5ZqqDW;d;jI#ZTwH5vM-C!>md)>9#=QIUCCRTYIk2kE|+hM+&cvv|yq2C44!bwU1W
zAWe1rhCUgAJz`vmQ-=<7gUB1T`RXXy`!x7vITb^rVO=h(j8Q*!{@K8Y28>w7!?c5F
z7%%qBewbr|9eK`9?NlvXGn(sjn4^KHU5qwcFoo6hDuJ83v|%I~YH~fCj&BAWkA_ms
zp?vrYn_Zy}IAiu5ynTlbyKt?@+s2lNrpSyG)#)NY*Js4~86C<2e1X5Gtx)dZyWXZ=
z4>nq%&kvrW<IGg{hjzjSv7dB4a@^2|V4v3F11&lzQ#w-o8Fomv*m2s`-2l~>L|+Oe
z(%@>fC#+u$*x&SRgJzAvGG_z2-Lt7!>zt`lF%9?x|E^N|Wq_oGVRgwSLk#b^H8oVq
zM6B8(OZRsJM31|8$tma~J%6Um(aj#L-}&9cE*c<RJce_Fst)2J91bqMw#QlBW0%iy
z89>!Tw<~_RzJKmkNUEwkU@=W4oz+AizALJ?CD*Eg>ij<K<pu{_wXE;HtEq>CyK#Sy
znJ6Kr)6@6wb_Xc4e`UKntOH_CrC^bf494$tZ9C=ffEUg#eNl(C(HXW@(j#9C=9=!)
zIdliKl%6#gS<nR8pG{nM6u@J%%#z3B_TXGR;?fkPfu>vMg?rN3vFmvgk8qwnKCYjX
z^?$C0p_LwI<E{QM8V$8=L(S~L=D|$Olu?De+<BUH%Xh}k=Tc=NubD8^(%8F@pp5R$
zo|2Qr&5YtWZjbtPOmK6b`#Abe0eR*3_gKAXB8ql)l_vKAy;SR8tu3+$mNQk<O8HFG
zXFEN*uoVy}(tG;vw-mfDdR}1B{6XZg3H=QmVn8+iaFw5@1j^F>WIpAcB<==33mf`p
z2c1&4h>mVilzm^9>-TMnkhgfj&6Kx;NZ``lD|x~=Gdfnu`hA)(%uE(`XWHVU#4a6H
zDFG0gJ-KJ?W(d{AEqyUjHfX$ePdCbs2Q!r}!<9laM606LE;8R5XKwXr`Y!V-UPN;(
zXVNtBLviqpbe9!k)NhCEWMM<~rVGsadsD<Y$q;3$W#9Ge-~6W7iv=9B8=steJV`id
zyk>d7>^o*oW3}Yy0>ka`VutqZ2}0=0<|`S?zWWf~7~N4d&v?u4+RvptPVD$$w2Ob)
zchM4Ev<*BnjMsN~EO$=*AgTrisFVP6NFDv2@ThTuG5+SF!q}&8gm2-CKBcE-D6$?H
zx1RpaV0|FmXE!)PysynHQc^NQ{tmaBos?ll8gqk2tk^JdcqjK@O|mIGZXJ1W<G~;U
zaclJ-?HVHLeDbfon=(Pdn92s5(H@4i<J*;gC|`)m>c2v=AtqS(uJDC7sDts&wc0Y}
zzd>S#_h!M44rB0t5=lOG_Z`FKg~?FtlL125e@%4p8e{xC{77J1)N6)qtUD*yKtIu;
zalo~pVR`<tH#`k_L^5`N+bX$W-cM}5xe#dYN{7u|=Ynf8_Za`Ns}H3o_7RUSlSel<
z(I71K&AvtA6vJV1MQ74LFOjKN-S)+s20N=ZCH`$!h;Q}#*OgxBCHAlSu<2nh6}R=z
z|2mU)k0_1Gd!$$1OME_1_VV#|Dt3Mv-Y9+iDIvjVHN7m>N93I8bg7&-f=lnIv50{h
zqSRFM2jf*A(XQ@R#HDD2`JJC1ow0mHES_li!5-RAyy{}+*tr-&?LSeAhRqEGqu|`{
z9)SUZe%qDJWWNFQjfJP{BAN*vlM7k#y#s`o#RE$1eSPH8n_j<u@Q&a)6NKE3LE`NJ
z^L_ObdKh`0@@}f~JyEYv?-}*yGr^p6VyGGGLAC6p*u&Zn1Q|2KUA1zEsPz}oc#xor
zuUonUQwKYUZTt^cmcRT;L=-T20$%ALz{V@FNVb#Mf9-9%Y|IG3#nQ0AA)|x2a|$m^
zcXtyLWr~MZdwe5OH~fw|y+a!+ip474)4fD=<Wji#wjYEnV@u4$8!dQAcI{Gs*H1VI
zHNA>>_LEo_rpwK%r-l50`o;!_LE=-!Hpw%~eVaObI;|x~6R+#rR^@#7Of2TTAWfyG
zi1PuGN*2F0kk70rypTRbEVKyh`&T+mgy>ZTScYq0*Gai+f#JhMGGFm%b@VK8Y%7JQ
z^^-az4c_IK?HncgwhX+h3YaJA7L}$rJk;^!Ao;Jl<U65r_xYt~Nxum}%OgttZ`EL3
z=s9Sj_>*}4Qc6Une}Pb5iqeQ(t%g18*Cc6$PY|KSjS_A97m1~==+?egRV2G_)ruOJ
zBo;Voo<6$ELcVg1v0Ux1imbO~uWlciCK!%d?$?|t<i+!{MzcRufVok{zpk^y*;K9|
z8ZSFpnltICnxuj_mD!>($9dw2MeK&21rGA%{^=Jc3Mz>1JDYwW<~PB!GF&)Ig`0fB
z+n!tSTp9WCEIoQ13&h_8<?PoF^OEs>*EWiTD?_IIu|CIge95f~`~E2kkO`)KB_>kJ
zsFI;h_}ph9(~UR#C$S2X$5ZZa`g>Igbukg?W@{*<kEaRk-31Y{nNxJ5riK!huJ@~5
zlwc<V3{T{$_=%B=Nos~wq#~5Bn#6qM<s?r}WJ`s)NsvlHi)+;56p_x!rhmnlo2-+0
z`n@(<iUeDd(A8Cn$nqFUo<GA&?zmq6CFzw6sZ)E}&=HDQ)U0k^VIn{dzP@y5W}`fL
zeJ_`S{bohHUB9*EGM_Nnx$@z#yMYqv*m}Q`w?Yw~Yf7K@UlSp7mPT1^R8+{G?c7gN
zt(D+>uYqSOP>g(+y!~TOlPX!)^HM;cLm7i#6PsICN|2;X*1h}r>SWHOP}kxaWpt%I
zPYw!{B2$90HmRP|B!g@}nPqybz$IqAFSS61bmYIZw5LLwjBp#UV7jRycZ=N<Hzj#8
z3o6O6W4fe`t%rZ{aW!nGyfvR~P$Vn1P%JxE7?91LV(ET-8VD|2)Kq9!CT&?wp5Cc6
zB5S3->s5_t;;z!7g=3&9DVipI!&`<%Zd=d(b&rk?{8z@F$y!n)WjjyBSo+Y(TT01u
zqaXFqd@U}z?7jwB(^V0EB-NM<-=_NhJBtwx@STpl5~oG7&ps(qxoJYS^@d&0UFKEM
z&WU|1m^$Ra8`g;@@=VFtC3}{vt;W!1mA7T`>XChEeXKg0%*g29;;VS8O>sJ6NSFLi
zpR|ebE#+%7BXigS`$8NoaA=}nwj|V$tbcZjc52#;%$NA=R6B2lnW%_4$xb8k%v)<M
zuVOQjey?44b&W0llVQ8Vokk^ZzHZ)-JZ4JTZh9nD>jc~zvn$!LNF{&s`P76xHX-}F
zdgDSbGU5ItVdXO?8hK(sv65ZPn4B}y+BMN?kJgLw=Os7LNXMGcZ&Tbf(souk#Guy!
ziQU<cSxjl<dE-5Q8n+mbVwwC#=PMkck=pvV=OdNeMUB-xu|b=h?ya)#b#j7^{{;_m
zXDTV%UC(JrRU_ZnG_u`4?}W@P$r=SbMx?)p)b%7cdGdS_cSHRhC$I-{3UC`6kZ;pm
zW6$)7l1?RTjK8T)$fFa%yz+Wv!#=;CZ{D(#q2ihw=ggcy@jeo9y+fOP`msAtGk%1S
zl-0g@{e>e=5iZ`l;x)<k9{-H3#Ul(wZ?02K#*T1LT@`UcNS#cnINDYr!-BKbg}GYi
z9MHF3&Ervt3h7&`JLTKMh0Eb5b{0+B<MQ^5D^DsE$!pfT9yC7^fGoRV&bBr7=ss#<
zV-Hz!w*Ay;)jz^;{lu;IxQvO)5B{r1gd|D3;Pw=|9irGg&Hc|$oQd1cqFdUuMaeGp
z(My#9VtD7fRd(nIke(5o8L`X-$6fqR$|GV>4Xg2A7-zuwI;V_SDkmu}b2jRvrZ@sG
zW-UgI+2O~P4NH$QSjb-iayKqf#nG5)ZgFtI7RmEBMhl$g2;LGImRr)|V7$<cmX)!^
z6VuZiF(RXcbq__&e@qN(N5zk^IN5-D)~o5%#wH>tLz>0=i5MDdl23g-V2!1|b=rNJ
zEsTN{_dO4$is7_uqu7}mE39JO*>qq2D<i4p;lumO@tX@}O^=IM;ZoR#Eyp%aGH6Hq
z%H-_Du&ZxKlxw>s-t$w}o#L2h@HD*SPB#;S>GaEafkq3|og{7#Y5Zk8pLIOeU?&Fu
z%(yFo<`zf|!fmguEXe-aa_ozr7&da#-Xz>MhhgOL*ms!}{MwgV?r=&BlLFtW7gf!1
zr#<EP#WZ%j-5l!nt#A3g2X&zEh8b>_m2B4y=frf_`?-u2;t=?Lr^QXr3~RIQ@H-iB
zW0A_QTv#U#Q!e_8uE(aRGVF5U`OJgilR81?HcOyz<ZRaZHKvf2JN#}gn-5nc8_r)B
zmqdZ$#}!@QP0+VH^y?op0Sp}qJ<R%95-U#ExaKV1I|r`huixJ<2#RwH<4c1S6g9SV
z+_N%)*%Rfh#w&%f`R9LryPKu)iBUU!cFY)xucKn}G(_-cLYvt*CWFPOYt>hajFC|=
zW4xbN6k&4bV_CH1pdGXNy<?;?Mz+?wmj4ok=L4rqN}@crv+@2Du`~udE9GVHq!=!<
zz9MdnDqzl>C@K^(2Ftc99*5_}apHym`=MP*NN-nNUp+yGu7SX(ZeB_3w#;?hovw^V
zo<D_BJ#<V)rVDZ#NMW~AGUIEw3c}XMzP$K>4zClg?A-y<NLp1X*tS*`Hcy2pR$X-P
z&Bq>^%$I?9V??H&qZ)EJl2^?Bq+>AU!+h?vEaIB&{vLojs{e`ib&D8dc!6R`_{d|Z
zEkSb3K?7z>lir+8#_;txR`vI_0!q&_%cR{jv3=h_{joG-ESIG(%uNaAZ=3`Ke6%oT
z@-NW8-x&U8?*msvFZ;9k*BRpgZR`m2*%a?$g345pLsT0T-1BdJ?7UeA2f}C<vg=JC
zoc%QIw4f@U1?kUv`s$+XU-n_KO{S1ajIyivtP0WMHsYSG9==}0GdYSG$mG@2TOO++
zL96$ho`62OuVxa=XJ&AEdn!yhOC7I1>zo!O^x+m&b0aOo9ChDW=wq8Sz;cVeBFfDG
zTkDzQE4Eu8BBsPAR#g+VZH3ue%M9>oW1A1xMoScVUNaNu(S#<~m2X+S2B1m~Y)baF
z!p(-p*|rodJfm$eTG3&EmM-U)r9Rg9oL_scNl_c((#&4hGX}V_N<FP$lMUL$hMoAX
zXe01V!Cpl%gXKJV-1_Tpiv_<lo=>dH`(V|KNvM}T9w{rRwENmYMl?Wtc7+bMtPHwM
z_tk@>@${mV0|Vnrr8l2N=pc8oZk@cEE;e<n@--0v9E78X1Gej6Q=43l!gFmDTo^nm
z9trSdc4*Bx>!2#{dxHZ_3mRvmE{Hq@u7A^I7P9DI>ge`h-4qRUZ%p5ry#P3$Sh{rW
ztTqz5-?(`-s9}fm+QpMPOcb1@_KNXqBS+)c_zoUb(3@ANHaRh|%H*h@&=xH?LAtlh
zO&O)n#!b(!W#VX=!?u9yny5S(ebB*90j$Tns2^OIcz2gl=+U5o;Xi*RPK(N7l^kDf
zw<#09{@n0O`>c+2@qEqsYEt+%5OUU6j0tn~BiY2b8XoaRj}9h?qckURSbhk2ublkz
z?2IZ_o+$bvq9_Uu|Hj{<rNGP1&$%&kDi9r>s7n?S1|j9xAsz+1k}EOy_^k}H<{0gx
zm-&&SSAU^b6A0b&*5w6@GA?ihOmp1hfzX8XCzdJ(7B_^4<SHrR>>n@ZW-l&W7d+s8
zSB?SOV?jInJmk@#{I-2!F9*id7eB}(+Tp_!<}?3GvM_8q{>ojH9e;)!C-pws;?P!{
zl%U99TZk2Zq$C@{4BxTEn%Kf<k#D=+aVfa=G|zFxQ$Ws|RT`eO!MHA+x~M6M*2FN6
z6M7WrAM#4@8n?zFP60>95pf8`I@LsJQo!fFc{qQ~GXL`y9%{c9Lz(Lt&;lv25_YE-
z-Lt~4R8zC?*P@VL7zn!ENI}VQnrDZ!71GAW$3sU%aCMHed?<nq90Okqk0e<_(RRMZ
zZJBSytwkONG<JkIX&MZVTY%GH{<6#=VFU&L^Bj}ofLR9J)hfsWpHEPGLq>%V{gyU*
zO^XxN+dib+Y&XZRR^{|T9wD6h6GngL!G*MQ$8B8JnxjSh#LWnQK`g@0HtRe$8jT*L
zuWmAftDlZ)^MC*}g(*3z3p|*#9jb0wYlf28dlz|f1rTDR@zs1EACA5=G5ghFijqOc
zDyKaHI8=P#nw*#b$gMlIeuS7}?T>>yM-K~N?aQ-6d9MYL=zWjUIb#B;82f8^l>$f%
zt2UW;7sglVrmwT<Ca}RPZ+i(r6tx(7wXGDvAj|w>qNWM<GCL&&FA3tybVQP;mniCe
zTE11hGRD<iv$;E5gb@6BQ%&LyF{m_bHXn&LhH-g9pn$M2GIVuSqpyhLwB6j#M0sPp
z*%E1XBwHAQmojC%1|(3s^|JlP7CN3CE&O;}Sp+Ok>_mMmrC{wN?G~R&hur45)<<<B
z$g6fLzfdT>y!Uqxj;x_$Tz^x`<Y7^;Z`SnFGmwScA;W!d<mhm<udKhjMhuHGc_}k*
z<PhJUGTu5t!+QEZxpl_kFh8TJaQlb?dVi-lG&j>AI4ZMsmA(YNb#6<!=b?o2o_l6)
zKBhsVd}r^tl_cr}<bpCTD`WPZ(WvKL8WffK+b;!5p>lf1{?aQdNM~DnYO;a`5f_t<
zX?fD<^|mQ1FHuEI_1w>j8X9hC9SVH;T?T$R5kl8$m*<sBg}rN#h7q0BM^wDz5W96@
zMrcSK>zgv|{u864$@M>WjTU+2<y&s~E1-!ST^5!1K6Jbfe?l7zQbbPvy22;cT2QWu
zJrPz)hhnNhUM8C|K1lvd=#J3FL#1ZER%v4l3TW|m^eRL8;C&YPb2^|&?=^JFGe&fA
zNx*>@Dv*oq+~roSi;#*}LJ#OBV6*4&e12OM6>1+Mz2E7f@Je;e<3SS~(tdm?Bv%db
zH6H$Et@?-wh;fZAHigh)Kt|OObp$-u(A2LqKpMA>RB)OZPN*bUAK$KlYeu&9ow0_f
zIOZN=anKwNakO;dHJXsMmL9prVT8vM&0Ah1Tfpe$aEq?C7KEJxO1U>1!S1@jA@Zsv
z$mU2-hbb+%zZGe7+HVB!HES<?d1-~*Zq_SlMcR<DYW~>eWrRSbb&gFF)`)w0S6*(}
z3(tQlXV?rHqWoo8v!Q}5^z|wZS=Z^H()NIGu!bRePyUi)bFhQ(ae^gRT^E*>lo@A5
z1I*?g2p-+YfTz`p%ZdKFuzqs&mEm$8qI;g$*BJte>6-io(YlD~`Kx!qNf#ztug3{o
z2gV}SrE;#*MM7FY*YD%ns5X%(^Jiz`70EGoTSONr0;H4VRZVP?8rdH2#YCt0>I8vX
zI!H?7`D$=g9d3_n4JNXfh?RFz-z}npU`j|KORg$zwmp1kexHe{&+P82Hfm$5%2NCL
zY-LDI%kREa%Y^@itE=XZYT?P#mvdUi3gFo^!e>Y_F}%~w=+bFTaGE}l@i{DmrD5vx
zbHz+F-QCezm#u-_N{1z=l9Fi4;_sO}#>B^T_F;oWb*%L}pm&-@3`%>#J5PEr@n&B|
zP;`JAZiI%}hp!L@ZT6sduP77j8}9CIvsHyNYpV0gHa=Lq-}X(n0kFProkvqt0a;#D
zrucyiUYvjKUEU9v`FTf@%l)}9<JPK?!j7d2!iN=gfRSxa3EeLW2%CNtqS?!eH!p*#
zFW+R~PEBpP=|?#Teu~cf@9YwT?qV+{I&Fu_rt^_{BQkKlkrw&lz+cAi6?Jc4G3?+p
zk*FFXC5-^C4#S?ce;8~!f?~0mw##){o2j%_5)Wv{@4ub+#qhbZr+7=J4era<b3f=3
z$HtKlcf#?DQGJVZ;H0h%oC4Ah74H(maMHFR4~<`pK=xGycbD&otSfB|Bl@C9m9%)_
zmHLbEs8_nnrp*d&vrFUec|<UAXK6le-ERiZaD2oGLo2Ad%Zu&g76#RzV&qri9|ony
zPV!5pCH8zNJoejN5Z>F_>Xd&jFxo>r<ouUC;x@%NE!)5kQ$Hbs{n|f9V5`rBsE-94
zL-?btlK7x*<(#l0bBU2UeKcD9g*n;{)spOEcp>6uz2j>e3;HWm9&V?a<AL(MKAl`1
zBwhNOPyAtpOqP|X%1tvc+$76+zjI^$AH^fdj1432J!rP_W?0M!s;2Mc#^-2R)0fM2
zF<9DM_vXAQPRg;B7^!lDu6VAd<|hZTxkLv#WK40M_vwEfi(DwJ>Hpyx$pu~oLB73L
zO<-65tZofEHy#>qo4d`*gLQ1D+(;c0I6nR5FG%CY$}uMIsd8TM$@u8ERxNWWtm0kI
zQEpgn<FJ%S<j0bdWOb{XF+>Ku)w&nBQ5!NIa5_W~8E3XXni!(vV_X$m!g(H0TsrUj
znh8T|-S78Xj?uBY<$7cM23|DlTkBqT6T!CUEn2&^>6qPnvuN0k4@NF&dIoW#NT8ZF
zN4C<i<$lS4(kgyP*jil6dLRZ3Bh42TNi<w{64^z@3&3Xs$J1aQ2?UD^b>Fk3p=<vB
z`JyI4T>X5|$UROHEQKp|X6C7AWb?iKOG6k1Y)ggT{z^flX04adb1DR~Cm&4x5=I17
zu9vtXgGmoNr^-w!I95k?E%b|kp!%OR_Lsw#%<Y2@w@|S!_+VyNuPAKtdFtaV6@cWy
zC%;xu!S*(*E^t~5C928d(I!gxHMe*w&4db(>slRNN)kx#Nbz+kRK_?(F)7!O3YSo&
zZ?Pegu!whw{86idxW``JQD#(ZQ!kziA*HbAYRS2(aaFun+VSl8YATvr|C~8vCWHS0
z0096043~F2)o&EX?Y-Bvw|lwQxb}8GR)u6siYTPgA|gsjMbR&%K`KRCRw9z`SE*>o
zrh!6~k`;y0&%ft&UeEJ7ujf4P_c<rRd~`Z>G|?`t*BBeigj%VNo5eGEc-;RI*|k#(
zTl?J_rb?Kg%e|h`+M$T(kt3p)9#ip~ap+a!A`>^(?q_?%RL0XkTMR7}wGsb9pu2ga
zA(+&;paCvbT+b`?sY=iRmq-%5^P?f+mETNi{85Gcfn5m_U35%bdL@y$#|SK*n6H(8
z)IcwP>d4Q~#qG6M2O@Qh(I0+2{T7!7c5e5ql-#9<t^WiXVtyIp*v$xyXmL$UeMq?x
zc3B@B(e!e)0Tc9eKYrY=qJ>{ciNAP?3}8JZ4!N(U*!0%vk(e$Ot(Jn*BFmWg_44!S
zc>!~<-po2h8`6;SufLU+%Y+u=k&=$H1wI8YhP<L{<G2-NqWBdP1__TFE}ympi|tT!
zkc1A#!s-=bdziSN{+Z|PgcYQUb<=qVbWpfWn@hi%iMRkxK(W7(Fx5^!8~B+BDxN$|
zhvR;y@~>N&5NtmEds&Swcqx?S6RHfPo%p>?u-^bgJ$J=-DHbmAc9)l?GB7?@9msb~
zAI;9OhWz?K+e^wSml_6q2M5n?>(|8qyL6WP6QCjAylQV91Ie+IT%n_Mq=gRe33Rr{
z-zy#gXa8eh<3V1D$!cv>8E@{jE3*erMWW9gJqDyQ9T@x}R7~M`@^UT*j43k{vU2I@
z`5R40PiWvl(%VL=tpltpyH#4=>R|f#HovreY7nZ8w0g1D0nYU`JsT&qQG5E|`%fmy
znA_A+;1KEnx@&IgmLVEgE+rNBi{!Aqu8{qdhXZQJo3>;v6<=oB#AOntad73sqDUPF
z98+oEb^d@Bwz#JI`;>{pp{Ahc!=ybLEi&Si%r%j;I*#A!o)Ai--Q1`}_TUbEAF4c}
zju(um)sf>ou<PxK4_|AK$7*|Dzd5Uh6@Px#ut{-%l6s{nfx{jO6F<bRxT)e_ZQLeD
z#vhj9*vF!g0$|&~__T|ZGNvB%2F5;{VO_s_?8Pg4z`CL2j!cmP^6Z5AFSbmu9&ZjU
zt$WCV*vZ@kk1#p>eL{N^WIf8dK74u2=#(8w6SqF%w5Q;=dDuc9$7hzNf_IlP!wz0U
z?~A*gq_IbG<RP`-6Kg<nA+#mj7T4t|Hs-q|G5t(cC@Qa?m6#dR%T{Ounqpqov1j7g
zuc6nyH>r=6c#3b^nqh0~G4SHq>?8&~d*{&nsD4(ST5T=#tRYd7b?jujFqB!LM|X34
zV!c^U>>P`?LQ{eJ*vc(}c=eNS-?Co=ETiPEmfcO3IO1ne7UaSYf6?*Ft9N~7nNe$m
zx|A((_p@wNSrjjr!<2_xe7~?_iQzns1PjDIjsL~o!VURl3V*L0`^M5gow;(T+Z@_H
z@wI=qb0Jmwc6l-9IO~e^{avBf=1A7BwTX1*MD|r~EuO$h)~c8Kjq3}{5LXbyZS28;
zsAm^-sjkzki^l6bpNX2GFTKp{WEwjHvdQJvo-?dH=V{6N5169-Y*@{|F*X>EEIg~*
z`irIDIyt|4#suWqZQ21zZ0L~MtRHr9jwO58Ln3#(3AoDQ?Ork2z#P0-J~F((%6OJ3
zJn+pJuFU-<V|;8FdEZ(5*>#b%UF&wV^EP8V{WU#(mxB#{(yr1$5p2+rezCHC$_R@u
z5^n@4vLR!1+e70A?0B&y@X+ccBgA!H9l7nx2KMvnyX}>h>P!6OA}U}6hxACX%eUFE
z;kV9O$@5%TIFM5^bHNZj9M6^Wl-TilZ4J+E1`l4yj`%7Y8N$<^I=<#EJ9<V!j3VFh
z;^nKYD+`yn!Z6j|H@JoawPKdpx;Obj(Yl~_XNeP*{B-MV4NkN@zZ`0EUJ&Ii`s+hP
znYgN6mM$&Gg~f?)Y}&=busrz<b2|*MPSVI_oj5lnoi79oj)}se*sA>a%Ox&)or}J1
z&V!TY%QLF=#BpC&Wrw<vKKSQmPsb<o;;}BTO4>dNSnIf~JYJ{=muknw+)+MMFS75+
z_#%l=l_uLq8hR-1xE>^vD1dXi{*4^Fq~X?X+SpgB3zNl1>kW*B@O8`lc3n9Nd{0l<
zySwYcA>Vr<L|Oz>?$P;9gR)4?&G}e3&w!_KofTa|4D3o}tvg%gu_2eTziEkUmv8O5
zvDHu<9oumG&Syn*rJ9e7FY(LCJR)FtvjjX%-ZE~fso?XS=8zjn4E#KNCsg>6B!;wI
z9oIZjg-U4s`+-9Yj4^$BSLjMZ@0{1KhXU$o9A@&d-(sM@pRD-&Kn85tPu72n(7@#u
zE!nnl2B;UM+StNmv2SMBz@=Lgg<?}ja@Og>?E_m+l)gN~Kdsr697u(aOke^3PhI@{
z*KjCHRuP}YV*^+HpkWJF);H6KdY~{LusNwK!{scuh3|hlD3QxL8DFK3<HyPd-LzEE
zM|Tlwv0$L)icRyf9|owZmsRXot_BCGIq9$=U7V?yE!k7fgtN0Wzy2O|gp}r2_NME@
zgQpKFCk>GwH*i&=Oat<M&$Ny#^}({c4ZIwujIcfILtV&}Cj5r~JbC+)3ERW!akkaQ
z$UQv#kIkHl`UC%M?}%RVaqol57u=?Z3SG<HmOuk@cH!{ZKZclpv7uNo&J4l9PfuU1
z(8iE^Vpn5`5jM*`Pa$|Lz<+^<j*mL1nrU~JKW7Baw^=Ls$}Lg**3mitCmoB1-c=(@
z@f90CcZ}??#(=`~qW0INccaPO;S4guEB*<N8B<&IooV!!zpsmk%yjl+1BSSMfjUh7
zvP1UK@K7mFJ#-zLX}nA`1b_ecCv`qRW<mR!(sDgK3?r`1>oZ|G%{>*bV2|>9F)51O
zdJw5{n3rADLz?@ZRIep)PwKZ_x?ZgZUarEKc*mvwNE<Fn4O#L_vx0}}8a?cl+Z?od
zxi&hEt*?C3?toKgtqO#ybg}Gm)Vu{%3vBJ%*1pzogon9k<cV$ucD7H)d;e8KO40}q
z#nTbv;oKT>^>k#u@0H?cQ9`LuKo~915lu22l@p0Nh`KM=9kD>ca6Q*mUS~&i<;|8K
z6W7Lz_koq7S0u1Wd@<ymlp{W=_ACw`r!IM&N&QeRh`j>OrPnq);6agO>hw=dtZaVz
zcVq)6tZIB?BH|pdE6n0NzrO}9E`;e1l>BB5FBh`O6?eck1#_d!Dm56XH{Ib-9%a4M
z5}->K+QZ;-S9^)7Ds1{T1YfIq&2regwr7Q*Jtp+}<8SIK!NzCzbVtrB;upo`A4e@P
zaX&&{9`Xp-lN<3xV}Lko%%LB;445O6?gb}NQ0`yoQY$e^)D)eZdtbmpPyWc!p%E##
znmy;rjvFVQerr$ILD*rn*w`k<VF{Q+OXO78B=PM&;yOOs;zkfng5oEJXp_gjm#wD=
zZM~F)*L=3<A;(&ii-jPbsK5F3jwxanuUc4{xeapk;<qMB@uOGl$^0grDI&X`Q#o^+
zHJt37XdT_$D1Wd0N8s2b(dnFCX?xoW;*tsTM$;T9v{@5peRqPGqkevNXv`APULEac
zLfGJZpBZH4Jx*Nr3NRNpx5T$m88$29KdiEuKILV~V}!4vX7;Hg7I5I&{r056Z`MD9
z$AKkpm+F-ydG5bAM`b7_$Nkn%mQ(i%l~3ot5VrT?`gF|9LFdg`KY4nR#m1j3(z|7t
zP?$Ire)EhOT1}E{sn5q)rw)AD&k7tO&JW0E|Clp{ci6T)9P(dTX%j!!YHS}M7=Jp2
z>Nl9et!LBR9l_5mHooxI!P_5+HFHWOqi;;05%WirGyM|_63Nl~wE77Btv{x%?M={{
z_3Jp3y_e;?f91N$mG6la*(~#8mBu*PaK&%=({2{GN9Xn(FM0@%Ia|&W17oBG?3Ww0
zZ)aJA?rh=7>mrsNTDkdXkrBehr8{FDHnX;l=4-ro)Ip>%3b#+|8bN;J3sD!YMwVsD
z`o|HBcH%v;<3wkvAwD>{^ZT1UW;KTNe8$ICBI0$wr-X$eR@#T8=B}$@MYL=;sqAhc
zq!?i{|2<|ReN{NcJhzNR@gB<Y5N;vtH1qY$Jek-~(CyvPTfmws|B&)>u9+CUB=-7!
zy#e;_q<F>qr?bj91SI2}n~CUOQC1FL^&xY+pZ)E}BSe4Hr6T!XuL(WTl)bSs`skv6
z%nCb`PaHbPnd->jO!N`q!tO45*mCfq(esqsgr5dS;kiA{#E*TnpH~j*qJ78nd(9up
z2*PhbX3*{pAv>0MY8Amib=J!hfo7G&mFpG<Gxb}D`DOg)^*I=bXy`7k4XYs@{PQ46
zzO)dLeQo2)u5^f1l+?#0)e+weqFonXw-SiES@HL*4%S^=6RNPHp5SrscxKw)Mg&E6
z=-mFIjgwmJ(?tPK2&vCu4{s}V5VVAhDlV2bHvQyuk&b^#{D^0@xE=2#jH*UPf8;Fr
zL|nf|t@t_d@aI{-YxHiSe8D@xZH@~0bd%THI9?Ftt22Ct7kh}C$)(E|*HMuzBCz8~
z(ksGtDk*S8@I5iU?m+DK1}(TZIUW(#d_zPU6geCF_Y#2zu15V~YT;(r1^sPot%Uk(
zD;0^se!|B)VOIKzCOU?$PG@Ac5q6zzI&SMe5w>E{tJS47A?1*^vdXrD&|-=hb^RD1
zo}6Pv3uS6x@7KrHY0_N;Swj}e+#MpW*KGbt@@XJ;!GB^_u7_w<e%P0AVVLNUvpS)l
zrVc{=#`6fzcLe3hF|YZ$FNAb$hQ%^Lb$riwu3KIAflyw28lk83jnJtrIKGgjhEIp0
z&xCC4C;IC%jeTmzh=Nsb>CTF3NDj>2UZeksxa?XaTH!T8{4||%QM#>)hdo`F!<q+(
z?gnu$#j#1^_qHEiDb}hu6df$jkuyY``aN~&VZ}5dQmwgWJYNMvtlX+~r-upg+?Xv}
z?#>Ve97@T;ZORB<c%}N}@fSjDPg!l|hhM}F!5vNq1eB4SBIPTq_l@|#tQgW-F;BRr
z9yHtQs)WGEwYft*V?=|W>bAbwKZF7O$C$$@Mbzi7;i`z3ARZX%d#FtOBUTu!&bA&<
zKuYO-&(-`>#12i_0?|wC<hsD2-9uIis0+C#+TJrwxG!fMS=hx%O49?|2lM3dO6UAN
z`FAsf`GNnk-o<m1HMc^&Mfl~h{%cbGZHeDR+KvxR77uvInAA}0Iv|JT1C(E9(&h=7
z=e--5W&)&gwX^YhE;$6;2p&A;@R!&sdQ~=hPKeBsJ-0pitStT{OEhz7vXMuu^lPqh
ziIJwJj|x6o$fBxx=aG{w?Bw0e_|j1+PV!04mx}(NV3W$}%<wy$WJRBpM8-KuvYY86
zV_Z!^JcowkrfP07BeXdy@QySYV`4GHxI}^M{>J#>f4rnVx0SN!FAAx`Y#gb*LV@!o
z!`LgS0^}<<-tcS5^5n9oP4y3&D6neyy_;|sCLi4pDAIOSA~nmuuQpeb#Y|ad%K%f1
zoIT`I{X|cdJi@1+-Bu`z)wLTo)DMc2ITwawbv~$(YD&wGecd95#UuRkzaC4HMs?$p
zhUFUM)*r7*MiS-mUB~;@e5*9+kgs`Hzf6lf%IeKMKCFP~&adopQnI9qMG!~ITN=5p
zd0(VftrE`f?D)?<L!LZmC*R1V)5)Kr95Nw%s@QGSaFDQ3BAdL_pZewNk_v^Mce0lD
z<Gs|;*=>@lWMbXPmfdCs<gdVcTUNMgU_MDD$>^FIDctp|p?i`^p4=OIUN}h$Qw<CC
z$GtVkG#&GVXm=y>#}Dtpa#d|e@`iED%4(4#2SVe%6dIG9ev38k&I}0L_I0HGq>?>-
z{-xUAO~_a!&C2^f_2Hk_u;NOuHu*A2;w86~8L9Ywg<Nf}A*^T#_t(CnlVWvd&q4&u
z$?QW`x36)UpuuN#>7EK*l1ord=Ut6Cd9C}KxO}M@$VW<4>!bSQr#rzk6EO?2&+iKN
zNVX-!LhjuwmSd6&-Tk`~X3a^Vn3fG?mu+xRE9~iD8<UJ6KdyQmWKI^PUgqejWPx{o
zdH9xaL$d4PjfBItX5^z4Nkwi!_PF-qO&dp}A?e)k;o-<x6LQ2N;BDIz2iQ3zlk-!C
z<SpHOqmSZ@$iV4k=TH1~g!(O~PSsC_<TQC?Kxx!~9GT32bY#H^qVhKflTR9wW(|eo
zyTa+Dn#XL?>U+*GXLvPNau|}5@-M2-+}0#hgbvPTsV>7M-Nc(+HcawXy0yCvpE7y%
zQU7K>=Vh2)WxMr4rat*4;qTtTa7nW2<?)S+v}HKnCa|8}PnR@O*Nyw{GAF6lHr$lf
z;S4L=OHPMB>yYP{KMWI8?IGI#+B@W|c7~;WnQ^5rjTGMV>i(s>GpsP7KUDoXC#1{X
zpWIuiNmh;iv$gxf4V4PI$8Sj|)V&`I;8Ij4DaZd^nZ6=|)*#xc(;FNyc>3n1qf`~r
zi_|$CbX)?%zcto4l{w&=SDe=+cX?7sk4H%4ofJ$jc@#@?J3#g0<~2IC(q!=W_6y%O
z%iu0oeYt+9J*H~f*y0n#$)gmq^I{kU>b}aZw$Fj$@@3RLs)D44{ZXaXrT@IIGxb}a
zIUwb-uxw_QlN>csA2>skMdPh*?b&b^WP+=Hz8sq;CS}*}jMrY`g>k}0>790n)e+l1
zwc!U*lA&q)k6RW6#`V5A8MgR7HDe!;)kY}py`JaavUD%Ae?>>N4c@u78$4Uq&KfLN
zG~~&qz&=xDNMY6*cUWOm+L=*Sm#wgJULXZuH*ftn#IlCbR)5{uk3U&*yCeQ{Vo+c%
zv5D1o#tNxp>Ki>v7FZ!nj&xVSC0?|u4OP!tqJP>q?D_~Bx>>j4Qx;|5SxsnO548j}
z_(Xe25hucbca-PzQqcaiZAV+D1u6<^LmZ5F@H<m3cfU3TN@jPoZg^YZysTM-@F6~&
z?#(gs+Cag_(>ARY-R5w;S{FQeQvl87mKWRaQ;>LP^}doYbND`g<=<N*1ijqqvzs(z
zL2vZkw`I-@j;3cy<j;v<+h2?OdUs^OwZXr&V`)CT#QQ`o&0Gvo!j(^D+~wf*MUgpc
zX@(tb5ylUc#IaZHOYk_KJleFb-2ML96b{;aP0H*NkP<6Mj_8v|{P)1o(Hv8722uvM
z3`wBx(bM;$uNA-+vaZz3-xPC`6T26iBoR<*>b;>u5wta?{WJwrRPfRprtV20*y!j;
z`Lq&#`|nGoeKmpO^vfEBLTNO2Gmh)hRglcHxKK=*KyK}mdHy^ZygX;SbHkEH1@(-_
zmt8eMXT;-Uf)^?1X)sfxd{>2n$v563CrrSjrMpPKDT`bCzUFVdt_DE^S1r*aCWt<f
z!Kqg#heKt2^NyR<!CZN+_e8o0l67Z1Gy3Im?y=PKIAaY6T&$FMkYfVdy2_t1LW)r3
zIglL9sR@ff-gT@h6U+|2(0t&e1b-coCxJ_Qx>}+zU*~`c`bm@e*GH8xQhd>Kwnz()
z)ZQd1DVgHR_^Up$Lj@fjz8TjKQlUF`w&_NMDYDkZMM<AgMYheCicoJFJlk$~4-lrH
zChcA+<*0@=BOBDq6twZy+4!okju`~(?Eh#_t0B)oMDG4uZ3I96bV2W`8J2%rRs6O<
z9e!sov>T-9U~SFLQ*(54G_+Jlh5KlL=<i;gqrS8sx4#j6_1GLDnX`<i|CaVRL<ZXy
z(jkDfy{98BF!1KCYUy=N1O!X{+sMZNVK}Y$RNfL^F{2`d&RUR7{xFp4%7BEA|2p4p
zOT+}8QJ;FNh0a9%^g|I0oL{dgS$e?=&p#&SwS-VHWB6s~WB>y<(q_Ls53>eC@UYdc
zZYpH|?0xN}!hq<t17->aHVDo+U$0<IL)2fdeE|>XSS2hu)jDf~M>{qpyQR~>m`XmZ
zq)Erc<K<QTRkpC@G#6?nXxJd~lVTU910i>>LH+G^Sh)65_0tC$EXM_1J|}8pE=_>H
zRhk7iwKJ0L{Y&R;i*J0egND}iXKym^u<*HR@@&F08ccZ~3Ey(2f-lPO!DVSc-f#T&
z-cvLvySn_o!L{T?A4juh7a*_pW1y514ezsD9adIoz*l#R`s!VP8AGP7;sX`wb=9}G
ztW$?kO3m@^<3N5K^LAJ;70(WS{#?wZ2E`cPYrZ+a8CRd}r7yK`C4ByGVx$VVtnWJ+
z=K}gzf9)7e3+HV$1Um*45on~|rSsoXe(d2KMyw`ua)g+_Q{>T8XM9sX0l0X5|I6_z
z4dnf(2-WkF#gv}pg|Ib1QZPAZKCO<bYmYpGePj@-Mkw$Z0+vHhPpzb@<5GXBhFPW*
zPTspe9mEbqR&$Lyhp1ss%lF7NY?4^!T{!A;js;bM?c3ZrRXFKoHI)~MBj!bxn2b6L
zB7JYZ_uWu|RnMP;O((_RI~VEdcFhhFBF!k)Rfa&JN1TzbC>kcr$KR>jLFdNdNb$#t
z*mPv`i>6Uw+$vwQDk0AnA}1Ht^KVtaLA`A?Y<)slap_ygB}rRI%%vAk>d2#eN{+5X
z6+*>>^PAJtZ6MV>$##NG4zGmiT$>&WV*Ym1&Sn3saaLk&q5K2|y<`5{cb^qR=b!Zt
zD`KsYo^&oPcuodG+%cIUrGi*1@%_KdF)JLC_AYy*D1+p?>fPfULg;;8)4FAo6|~1^
z?c4&TAyYWcyp|?}w<q>#y&klLGwo~4yD}+!UHg*zrHwG2uDTPaw$T#F$BkBrXh`AB
zeGB~<1rZo}d~1IC*#atR3h|rnN<v(vPI;%AD6}1)rwB(`V7Nd$#?w<0S5quXG^t|9
zo)>xSG;0pWsruhEK}kG1CL1O5S_~p_F8TLT%~5KH%PzeV$hJ5yH=ZhvH+#rC`4n>;
z`76*P^-KbRJbfwN?h=S<_1Ez!F$3jZ>ZYlNrF?A{6D6u70%<|~(ksmnJg|Rvz*`Aq
z<b=zv6_tWg<F)H1KTP4oyM5Jb4oSG=9G<Y{mxcvbUJ%b&Q&iu&$^8|Q7?qB`ASopS
zNU!A{b~MGlo)zEyPD|oP%L4%$CIumWPdqJtn_zlNq*%+GBz~7(d!QV=#N7*ia#8n8
zAn|RuT4T2qIQw$LRW8Y)qd+oiA=U)NiK63l4rxq=*}c!2kjL+|LZ59g!T03CKTQSF
zkj*gMQRJrx>b*c0KS>jCT5tU|8XyCH+04cG*Giboa9iOwZVX?$YFfM+1-A~Qs5Y!t
z!A57V0Hsc2*z9t1^ZQG|a*1<#+<R5=v+`iv)~CiOXFGas^><mYR~TL@^Hf7?%>Fw9
z^~T7PlHFwULk^1XW%NxA)bV_szg=siF<vZmrd;Asz<#MG_NS#ZK-tA;xY%n9k<OKD
zquPr2@-Xw!o+XZI{yEX$&1QnD(nIyDLX=R=D!QlhLlbbczt&=Cg0VbqqU?q;PK$A-
z@9)#X#b+8P$D&POOgXat;$Ia|UHFbSzouf<+aZyy4JIf|;kYMTstUuWl}_Iu&``0H
zqW6_*if7svPNqkwL8?8~Ts2P{+b3Nq-MOato#(i#L{%LXS6#l-V{{-Ev?4N8)eN7w
zuW>YgP=`|o{}B&MI#xR+-UzNT!@;0qC*Gacz->uE-pya>`0_k*$ZEYg!e-WsC3<UO
zU$?7?(0&G(R>hrzG8X85GT_9|tA)@s#Whuv45;nX*--Vt0^YN0Zsp$7LeakfUNM#~
z`b#Xn#}!-RuE-5@5kD#vUaoc13)RK3eD1&Y=~me6SQDuFg^H3CyV_A7U98~1NbY89
zw4Ix!9NtXB%BZAMc2c_7u>S4gJ#IGG5;{}Q+eL%b!E2w6<umZS!G6Vhx-D*8@p)EE
z*9L8CP1(oabiCcP*8MEI9X@GL!#;&+BV9@A5JQEIgSED)KCkSM<L?)nk)n-WTBW8f
zMF-jM8@~NL%z{~r4#jaP{!t{Uv0|8pzc<nznlACbzbuw3V52tf5yV9@n~GA8j6C7B
zz#Hl0vF}>i5L$E3u1-e_k7df28=VH$IjOMCzM$cDzQp+BVhxn)&q%+l1%#Rmcny7N
zIMiSuDyydsQf7MgKsUhqh~u4D0~MYZy$)61RfX!4JxBHq0yblIf|r%3;3;r^^>mjq
zGM4Z0^Y{eR9K2WJAEpJaP~+(>cNFj`oEHDH71*YwpS5s76Duy$-RC6bkV`$ob*&Qk
zwj|$OjT$Hzk89Gbkim~01J|aLfKzOhbM}}z;(XP=)@MoK#%QNye<&~`<n=*LR2@DA
zRy=bh5@^U^e;3XG_S$r*?PjXs&DGsEFNlgG@`uFhoL&~XqTD9yd{yBw*1ADqy(naA
zHVd`|ve3vmA06>m8B5cc>sEPTI1)ZBJuP;45p?dIeW()buS<V!cM(L4nCQ`G_I4Od
zaOLXlQNVk@u7I0E{P-UL0RR6Kmv=nX-yg^A9j?8{#kH<=uWR#p8AYjtN<{-1Q9?^w
zg>R&kP*KW=s7M3ZB$P5!QbM+rS&{X-zrW9UydUSh-{-uZuNPa0VvTRUCGM}=UuNnj
zgVxJtt77|jurqG=M{`+A#9Y@>x+5r!zV_(KMI#<0ux#{+jIuyw^-NfLizJ%ab3c}S
z;fBe%+(?IMb4+I>Wo*imz*gs+Xr+2?#4d_NZrg2+PR`*l{RiSm)45Y=J;jaSPgNIp
zH<=+cypYSgLJWoZn<W%odGMo6D`|)@14D;WS~w|+P7mY5xkEf~Rg<jocy5ZE_g}|L
ztVHqbrMpIB7B9wnYWK@iO))ocz_&G91k>-RtK8!FFl>MD@{w#4{Cp$u)>2yp>lJD)
zaNgm^FU~xr2NV;q$A!P9HIU%{-u}X__X5b`iugE{V+?!!21@s75;mV_56o5&#9pnd
zO0fpU_@`JiwcnA1>2RmUrZ^$EWj(ISFE@gH1pS_zJ_($Sx8}943Pa#p&+nv-M)-2r
z;iZu_369ExJ5~Hi_|*E;^XvcvA?y8rN?VX%mc-J}xk&_1HglIfJj=lHq;Rjf7YRl~
zz1K|~M4_Si$=64T0hW5bTCF=I#8?rJY@Nk0EwFB4sm>5wdDSDA$4R)9C&KY2P#h}<
zj3QeO8KT<Zo1+@Du6q79qZ2nJU?9sIWUFond3j-*hI$c{w!2sec1nWtM%AG=eRMpQ
zfw8x%C>}VT(>BtUhTPp1$NmgD{CaC5XQxGRPhqI^YP<{>=~F+Ig6O!GdCKi#mKfx6
z*^O=s%3&Wlww`QF$HLUNQ}iHl<o2cdWZjhqF6}5ymZxLIR9<1#Itkpm=x9)~S`jgM
zCiUw%=!mizQB^mS!~xsSSRJl}>=9Nip+7Y6927T=w30&NfBkZg{gh!?zozZY3=IXO
zeoYZKX}Bj{zaG4e4Dv)<+u>yzCY;05u3wPBmZEc9H=I?_ZT#huxFj7%mH+bHekF^G
zYx$L5IjiE)Zx^i+D>^I#TJE2akcYSA(-CDiHM|ux6FYR24)$c%KFyN~u-L5Mv3)lM
z#(^#EYb)vK2`OD|G08kP`%|fte(K0|YL#Nh7~<+$y79nEC5XSUdOjVf0T-U)le`xV
zAvZ60DEFK)*sdN5J@2mx78S`ZUtR`coa1A@Zy>`|VCzn7(}Dwr0@70%m|bW(kSV8v
zRVtS=?=iH&uz4(+XK#cY3;*B;KU8q~KL?@9|FjWhx>|gh-56(tnpsvCt78An#!s>L
zsOar;Zx3oShRbRxyO6VLi1wdmT~X3OX~=noPJs!|t6Pn~x1=Dl_eYuE5glBVFK^1c
zV~P*=Eka&QP(WrB$u{56!L}#L2ahF~fn0KS|K@AzAe~n~N4=nf@xAU%=dPLKiQh%7
zw+b2<Y|ZHSNY{az<+XsxI1Bhx^4!^!paJcnj<{dhRP;YT>*X6`3ER1gwflZ)Kq%+f
z#pgZR$YT6nWSq1D_2J+(AuUZ@iOqAU>ej-95zADz2Z4tkA=|&(X+qOmCYdi=6Lk*R
z{rAOyh|D#IoGmqxLsBY!ZKHt{;gv$wAmFz2#<G_pnmARwLyWzI0_l32u#RG2=%sSd
z(bpOnxX#9^E2)NCWdF8xGr;(#O6BicH86Q2kiO4H1qr9#ttynWhHdfAMEf`DaQqb?
z(3h`_S8>~)jTu^_yQVhhm7+TG1UgbQSd}oLASJTJ!WzGB%;(7NqTu%FIiD@B<&dU3
z@o124jna>9e6bhR;PODVEv{G^s-hA@v&{O@XFgjbWT@gJ<;Eq$5eZ!SJNSt_57Z{R
zue^Gug4@H#*&98?@P|KH%lIweIz3T;xtxq$ejLqPWkt{=zk!`29$4Qf)vNSc8P#L%
zZbfRsDEB0hH@X1kw)d~EZ&Jekz_?wT{|LaUNL;s60C=Jj6ZN@R5lI3(11}Bupnbmd
zSZpMLBbQ53DhA|n`?b*E(kwT0D6XxCepsRRLFP6#H95?m$ZxsA;KII^Ys)(~SfNu*
zG2Z*M49qO!yxN92@VbughumXJB(&D^6i!M(V57I#_Z4=`ckDLP7GUziNvM4;ToNNE
zvX*2+*`d2DR<<b60>XkTmxA>qU|;?><Px17{7$R5^4^(a!mCT^)uI@<-1=K|&Db&2
zKfbO(&m5^PuM$K@MG@K%)TVTr9q($h8?GmsA(5i=pWLhn^ep`2AI`F)yx+|0^s*@`
z#6RUb$cvzvv4-C<nF9?yU&KELm}1I&LuZ3G2{*_h-5LIz2uOcfJkn)?H)Y1s*>%Fu
zeVnv8)SU~3nKDQFHk#mAhx3+CcEUhOYyIJa+_-s#Y&ltHj3*~Ph{co$;rj2liLU89
zxFILD!P3?k_d|C(mCFmkh`IaXG%xrMa0pGjGQ#*|qJw3DAngAg<6N_w9}6Kfe$=&0
zE)<SX)eZ^5jQ>Z&o)H0@;wpKd(9Xa>%07u|PeF*IPQvtxAQY|Ena_AKuye4sF!7`y
zVps!0+BJl+EVW4K{%wfy{7iqJN<kcc;ovzVO+uC1o^XjcL+n&r;iOZAaQjXSw;l8S
z^nDNf(5GVvlHU4en`$9cbU*$4SVt6Zc0EbH)J8||k$@%vLKxwF>{kt3#PICE&BDOb
zOnr9hAuJ1o(ZwF_*%K`eqvIR`!@5lU+(r*IFeZV%`1bz$4hc-0999n*rs2fRj9YB2
zBn+^K9}zT`Leoj7`ODcfaH>a)_nr~KhH=C8j67)^l_cWZ57IEw+-oOfEs9U~1V%$F
zWpPJ3yzd8SIM;olvRhIN2_HP_bqC}Slu@)XNtTA<fjznz?BcLt)7Ns!P{7esl2SP=
zG}KBS(0;)ofw;eiz8teuLT$=JJCP{^1i!v@ZI`Shl+GMc*vU|aI0tRw(@z7mm`lrl
zu$RI~@n)xf6EZHE-A<95Gk_)c@(d+L8bXTKGR*B&5Iv*A;2_c9=<(y5;ddDvf1i-0
zv0D{cfd!V|O=(ElGR2$ZBnQVTYTU>fHGFz~HjVW#4X+BqZ7;UUW8>=NaD_|?77S9a
zKd+);{_f{*pL`W@dw;`hX`?y}eXN^ol<D}b>hIDYr34Q70-5nC4RDqzr*<aM!P*_%
zH0P;|_*UIKb`dRv=QP`fkPTtK^TKgiTQb(34vG(>Xye=E?(ni&LwIQ`jBeCWLCg_f
z{Xq>X^89zCubgJ!cKV>3vXCm&c~#`(M0C)zsYGyQgApha#@Fx9s$$IVP5h=V9TXp$
zUzbWZ#;QTK3!xoqP+&h><aS&aRN2@I3>_2Py6bF}`<MdBAdxzbVO{))H?ChaHihAC
z_6WY?>ezq#LhM~xJ;cYSk&HH(foHQFD-T@*e*$&AgN60*iWc`oF~l5&oZ^eKA2qN?
z^Yw^Zl`fW^iYf9WTHv5qZ#iv`CiojCUwLcj!g-BU*NGRFSg5#vCGf2#M&{SmZ*b7T
z*}W~Fq8hF6ZqIZ7R+1JT?qfO7N~WUpN<e^Y3xVc|6>$%`7L3&I_Pj3FLK#_%%WM~*
zNNYdCqN9b*$UO3tvL^b^Mvd9N26mkJGt{-DiCnLZHSs&taVM2OrAWpa&jy@3)?{g-
zhBb67|F9ZDk4Xf5_OOQK=l1P=>Y5n5)@#o=!|b<0a&1|RHQEeAIgdnYU~WS)D_^8C
z_Ped?wa>H$=RCEbwMHE(p@RXQR7F^mdL`6ytq~P*=tjZ-1rnw@y$UB}p|WIsFY}Hy
zSZ{fL9GXyr2fKXrH%=*BK47eu5N?gSNXDGWm@2b>p1DW5#o+VhqP@r#YaHu+l+OBD
z1r4FYW#haeU`aUG?ImxGmu8)g5!GaT`F{IBuA&g`ovVp@^9A@QrANtlpp2%T%*vV`
zK3G%9oq<fg__%bwERR>h+T8)Fc23-=GBxP7um$$n#F?9LE28jfgm~s&4y?-$IrqJX
zzyOz*UE`u0sDm+2sG@9m#=9f;H=O|WXNrUkzbs0-9;Q04XTfT}fwQ8KR?v#8a}P6;
z#*NmJ`gqo5;<$L<A99B!{;C`eH#jGWlS3~U%{GffRL)1Oduo<IXnc#wPjMvpwy+)}
z76|Hvq?$*^EMT;!t~TPN7@EXtpUi&!N95q0rxKGR26`VScTh!9pe;0Untg#VRJ5MG
zp<<35|L8A5S4c>XIw8C%b%97~U(vX5#te%q?uW!@g)zH$&$~2bkuYta{H)h)3M%Dp
zq&crJT<ZhO1%56O$-}~4?Sv_o{z_UoGIe<HhwqD>Q7gph^v8nnStgK@U0@qjT!r5z
zsju|%S#VP9?av633BF@)v)2+o#Hv%f_=;GuQ`Ew?BHS2H-}43c2=k++#5BgSlMS8w
zg2&g-8o^@S>4Gb6d{9^LpYkPfAovpRtkr%ayngDtrm=|^Y+BVesh*r*`FQ?v#s~w_
zpn0kv=EbH)!-oC_E|k@r$d28|fY8BTSw~m%B6-~Ab&Wj_IMZFtgeMG<RdDra2YB&k
z;km)O9$us$;t5%M+z`s1OSc~H<ptw;fYiUM{3yD3{nd6JL$te^e=W}Eg*7GH_Svpg
z$PN$^54cUo-u07Xtjc`&KIl~UV4V<>=-K@b8FbiwZ)oo?;)C3<VNlLPVQ8oji90^f
zFmy+DJI`T$v^*rOE_g*kNr2&KSr`qsVp#2bwg{k4Y$&Vimk7j+y%H%ZG^D6dUz>QW
zf_9gkNT#kB8vG84{A)LWxn5x}N3<ZGUXqARh!97=zT~akO9rTADQ}GaDuh>8Ygp*h
z5{TT8u(4vD0e;WYqk5R<Fiicjb}>u}DxW!1T1W;6k)DhhWahhrLig5gm65^Asrow!
zefqeSQxU$nR|Njb{J!CzWbuCd@uN>A`gp9C{HMcH6k1h{V&Mhy$bHaTc_CFFf421%
zsvi+Ur>1cqPmUtur`S@{F6(1tN{f+xR~*fzld*a|N=T_JkKPfjj|1LAEdzZLIBvd^
zo;;_FlXH<W^YQxlNb-n0XdwmHt74z5lvI#-fW2wtp+4g7tE67bmuCLI(@RQQRB`!-
zN5!)aeY9Ad7TRJii!W@^js=NoxX9=HdWm_jUAL??eS72(MXGz0*FynIcA4HOF9SSg
z`Sjo4WCh&QjLhcL*MRJwajww@1C*yROq`9Bup?5gEdRVF$c-*TlWS<G=-MVj)>MX9
zNMAu>n-&xpx4mS((GX!;JGNhy4DMYaKf<J`a2VrWofSvN-(q4$hoXX|E_UjulMa>(
zHt+HGFvR;Fj*cd6Rn!J=II!V>E)*9iX}9bcIA&~EBu!Jpz=jAax4#}vlH75hnRkrT
z>+aAP6kM1&TKYwX*>{R__N=!timHBpxTUX-+3Cf?4j+A_>WrSROfo@9*z9pLMGX+V
z&rDy&>BBi)Ztw6HQ^ba=w*9xDfv>^bhVQR4=dn&DYgoq||K@1ahn1S3^Av5e4bn%1
z%F|QdBP}3t(apWaM+*WWMWtDC`Vjd(>e=?i61B0Nm#8CJpmfF`3b)Y1U&?d+ehLA<
zM(@+T*36vNaOzdXhz@o>_LrE`1vt1yZ`KBB<DY%5^o$)9=DR3if@MI!?Neu00=2>G
z&Pr1E(1N)6YmG7^rk;Pl%P=<42EY4o&!B|{Xp#*--=r|PAZW6+u$|fWk1<co=hX1<
z&7k1Yh&4JTx0QxK3wBWlPKVr6!I`^QZz^wtBgLJof1YE`&#I!Pz+M?!EuT9?n%F@6
zklzy99St-+O7@Rgl8574UYlui8@TLQ$i03;9W!GazAHSChVQl;h5I#aAV#G}XoXQw
zRPHeF=Ds*)e=O9TVYdNCMypclYBiAF`g&jB5<#5Q&E-|^t>K_^{d*CYDvCX|KkUw4
z1&fBeG4j#Y*r0i)V1&t?s*imOmz8;tm9zP3vY9mw+%b|DI;{+@;6J?SVeH5ge-&gj
z0DM(F&)CHDZHtf0e;U{^b#-lotkXr{pmCiihoAzKlD6M;l$$5wjg}b$8i3ea_ObP)
zvS_|LQTm_jEb%f-WfL`yK#pj3QqO<V7)<iqJ5V)A*uJyL+{W|?JR!3s>Bl4?=O$Q9
zKRQmBl}8R(@mOKT%RQ5FSsZMCHpwe8Mu|0Y>!%#;EfEzcR`KDDC=^-8D_o8Y6AcA+
z^mEY`(54q2RMHi}>gnS@rG5_)`tk?)Vw=s8c+K{4;Y(pmuX14fePWo<-Tla=OWGVy
zyAJwn{>1e0p*b$q9V0}R8vVjUe>1fH;0-m36o5o%tGv(GF+wx$NT5QQDZc#>(0qQJ
z52B}B4Avg_NnAb^)MYMaij+`MTiya5#2t6A{9rUmXkF?|TMjnC&bPF^mg?M0oqN>i
zKQKk~q-2C_Z!?B?(cfyvPELrF>d!tanjv_Pv9Oz)7^8LlgR3@G9MIG7Y})$pH^JRL
zxOg?)2rL^#*SUXTM_s19$*<DC1gj7KkF_Kt{CAGgD?nj~j`oaL!|*(Db3iq2YXs9z
zays@(-C=`&5G!lC?jmvcdQffdf+1W+q>dz5vO#+?KQ!dpGBKdXP_jB^h}=^S^1nFP
z@LvzlKAC71eD2pgDDan#3Ln$v$w^kEJlY*F^qG~Jv&JbBC+RrJeNf}|3M+QF3Z(tA
zV8<MF;p-lDI$X&wsZ)Avs3z>Cc0A`mAM4xZzi~ADJvqnX7S0AzoQ7wL4HvG-v|Sok
zqT#Nh%wO6h8xB<j80;J4hHv?m=Wc}tc)=S(l|IXkqt)B1i}QHVkhphl`zB^yuqz&&
zrgGqj``NuO<N0A$#cd=%p%1Rsm7axp4xD&Y*4A=s6#}%UK6fy6+j8`?OXUzJoYHPw
zzELj(zp6VYYR&a=V#Qihe3lFRG}YZ>LL`i2OddY?K@ZW&Kid^lc#yXtZJ&j!2tI@#
z9hbAz!^g7be%m9w=ylUzZ_F13t0I5w;itOTd@@^FcbpF;T%AL?>f+e-^zXw6hAswu
zWYcS-1t3+s%<;QS0^!b^3@+E};LmWiG-Z<@eigUdmW4>cOYvSBSAY&=M^*Q?C<&ve
z=vn-Vy$lrU>)LV@bfEY8eeh;|5+3_bIp46BLzCz~!LVT}o}CVIA9NGJyY`|HxjhQ-
zmYwu@RY%1tR~3QxH$`E?Pfqo5Vg6U)(qf}ZDza3rHEoy`Ls{KfC+&;M(2uy-_O+dg
z)r*q9t_Mos*s{3y&Q>zA49Bji@#w(pT&+jOiX`F;&%8XNqYCS&uIl04I_TW%_Xq{j
zh$GhQ4^2_Sy7kBFcJ}Dt^261)KZMI-sDQU-le9X@rz4)qT++oOnU^=$2FXL#I?dlG
zQv(^BGOK6(^uYbD?alWvMbI+NhY6WzVW93|Td<`*HuN3vjA~YbQ1-l`XR|g=?akP}
zXFwm7UGAI2CX`XNICwzPTL+`fPEp(s4N&1KT&^jtf>k4LT0O>eq4^}w(fT?K*Nf9C
zBpg+-ZTX<IosK^A1G9<MsdQA4>i@W$Q-k*R<_C%G`p9ue$#s8ch}X`!nfr<;i0&?Z
zuHk8b)xLo|(Q-ymIQ%noa#$TKN=na9HyL2UgCt=RYmBrtk$bNQXd+!Rgm+q$2C9v6
z>`w_({Amu`Ev2A^k5_^u?6qjf34aqTR%nKKp3&iYF>SE@{$A_APs7vT7mV3G7T`Z5
z=zL{F8)sVR-jPoY(D`qKt53iRTR*t=p1(%L;{Nuc6?p?3+10zb;4y(KA@K8I&gZ54
z$f5F$`Y_uze9IyQX!Ylc)wI_^CaE@GEnXLbJRCz-8?2ElVU>MitqwRpK6t98NyVoJ
z;Vk4~YZ$0!T2WT%;O|X$clt3+NTeHRuH9>cnNPV*9`RIMQ1x5>lR$y<((Bwi)i$8s
z3Ysndq74qitklulD$q^6O|D<E!L|2tWSw7HP?4hd3g#$*FVfXfSK1cam$k+Yw`k&g
z(#xK@G+BHV-k$MJ+!j)H0(<IWG@u^cyDq^=0*@MuxjO#XfH!V&3x%SN!zo`UY{E#0
zGIiCnud>1V=Bejh57kgJ=KM{<gAZ%JKVUs~)CLC)C~JpRRbkq8J2z>X4Wh}rxVxF0
z6`l_C&%8y3N>X?1h~GRBoycG9S7HrbeI=*EBxUfqe66xw|BDDMU!deWS!3eLc~4z6
zMO;k0CT;Wn3t_Y>raZS77#({xVQ43Zo9bGF@8{DAmq&m9D>?|&7?O^cGWqp+`m=s^
zW=rMa7v~0Smk31hlU{E8ErHL~^kY})-zpFHmazuQ6Od=)nTxzChS-_c_>t0Id6w*8
zRAFrerJ#J{b?zdF5y|D-ZZ}kU=6k5t=0HpQ7+fGLZDsoM&!OtQp~ID8DvztWk}V*U
zZ!6lvvI>*_U2E>27_Q|1XOn!d#T+qQjoL8<yl79m>1>%kRQV_9zF?t%IXa&G=#VPm
zLU+~Ks=ca%m3s%1TiKk<pcxT1bU~a0`7>|lgbn&D%`BgAZM|WNub2L7G^t>PQFlP@
z!(Y9X>*o7kgbXrslZy*)iN^{dZ#jP~|IgRTqxTb&MNCbwx;RRnyJ~?5EX%Rn`t?)g
zcx95_?`y`mc138_qvSaP{{}v!KWVG1Idr4AbHWJTdqwW~_WdT>$iiH9QjL|F*8BRy
zU5t=7#l0L8JwxR3$7WYAS5?wuIl~HHGT<AsQ&%~9inuz{^{6uAQRRb#a|i9!81Nsb
zTK;-GK^*p;7;yR*Pt?5l`-Cge5VHMaYh63WiD$y@6_)x%M7`&`yN%3z6wn-ExZ(I1
zp^^75LNKb9SZbKQ5fV;EOrh!>*Vqw4-_1lJnD(A%wo(ZAv_QiTzUaIA*@lS^xye4N
z9c_f8(E9J+PSCKK<l!aLI!HthZhKd-{E-N>X5Y1c$pBmOSrb=J3=sb!Snsqbd?CJ;
z_#gJYV1PMm+ntmx1H`+<8v*7-4^flv^5lhp0Yr)AKI&pWQGC^pr1qkZsC^LTZg)!`
z->&4jjeYAUZY+<q1a$NhPb31iFKaM4b&1<_VXmKepOAP|jBAK^!TwG;{g@u2P6beA
z)(jB7HVQq<>qiLF-6geKGjt)H=Uct5Zh&wrXS&xXV}va=Y|Fw29hC7&lsO$4Bx2rp
zeWV-xBzi=+GY<*q;C*|wrKIZ+5y*bX|HR+~k=C%IF>5UqHY0J5Lw64oqgOfiU-X(H
z)~h}{b2e5RQhL9KhmuE#(X_%XI=`lgtASTS#y@D`X3y3y_qoQ1bQXE*<Xf`@nRQop
zFIfwf-F4?<GJg<Gbr-7H_x&MO2p`QYM>V02?KH__KZ%cX&mAWA%n^xxu_gA+8lVcE
zq8vRpK|E$DPqK>oN5uMFm@e1Rz`AuBDi!^c1T}MX!u;DJG0L;s@AWlxh_$?9|3sN4
z0-{-XvV&HLh?v=3M;0j9KCneUBX)*RON?0Er@#ur=wZra00j|2ah-}%zlqtu6k&rL
zHta5UyX4oa2J;O+tn=UfA^fj$ZeQHa0S#TAaTyOauw6=IRm__s-ud)xc4crOwEpDs
zu5YUFb^mWRuj(I><}==rLGa-Iio4fcKUE}ex!x?ryF}D}ZBD2>&4-_|s^#8uDj5D)
zLb@5dLMVkt9_X7Dz^=dFoVQ$4!H`}e*KrM2SgNOvKFJk=Po2$+)pQkP2c2oM%437!
zny6c8E+nYxziBe+A!ECq&p$DD4y+Q9l#Bf>0w10b_q|DENT!bVRMWWdT*pK&x>^iB
zn{qXrc98Mwk!FRvDG!FjcR12ZBrrqGHGfMb!;4hhY=4LkXUsDf&@To3GYZ0d!ek`f
z8g(!l6oBHBr1)US!lPk<qmYYP-_mwLIzb5I>&bor9r6$|IzO@?N(O1wz<jI?(?7*-
z*wo1M8|Ay7ZMknw#&d_8VddXMu=_{F(W%eMc#xNDpnIMSTElS`B25e*1aikr&#9m%
zrf8*WoQ&30VaIRAO5o1(9B+lSY6w+d8F|NCe;c3fCXpcpgM)_$EezE0!TzYcu!AbP
zoy-rX4#}W593t!{niz8yzH`@J4d>&h)sJqI$BitFpfx+Rp)1!A=oU?Z?&iIl=H?WU
z@aE6EH}N{~;tFVMl+Zx)QSZ{*-pVLk`^4qhXFdGBvh-noUK1QWkKV5DCBxWDsQ&-C
zefj>Zz$*(Xy4!hj$-$~{z4EFf)PM$TkxiqF=;CMBSKX~b6bPIiT>ajfj-(?GdlOj=
zaA#Za)X8FXSha2(h%`3Dc)Qa=SpyB~Z?m7R-K&Yh7>{WRCj*V?!KXVK4B>wL#z-))
zHiBsfUp1vLu-@K(rEJLv{{sL3|Nj)2c|6q5AIIJIweI`At+l(Xn|<#(N=ZdXijY*U
zkRuVLRE{X+EFG@;IujD=GfF~4hbVVN5;=1pKfizHF*A>O%)Dow&(}<{k>B6Dg9q8J
zWG2~33S3dw+T?UM0!wE{zIp)ySlsza$^J!wH-DMu!iG%X^TE;!?#?=JnbR{p<RS$s
zy|;dM_?d%k@cmC;iA0cz=KpfGS`Ta~CAB*u0Ct{ZVQow$f)jhk)v*{|c<gU}u>KJZ
zG@j4-)7}svM7p*)X`BRpuQirN>*#RjlCIq6Rw79K4BN%Et^;YIV?|PV7VwIl9xi!@
z2u9iy9}J7NAn+Dp#QLBmgj;jF>6#K@`uD?VJwY{SsEb_M_-qOFgSu~1Ty)^Xz-rJ<
zA4L#3^KFb>+zRmNn(P^)+Ta&mITQ0j3Z`8{x+%(5Q1x=XZ&?EmV;=al8Y>~-kGga>
zf6Ed$GJRSj^ff_#mhRQHhaDOlkLl)CTEay-W%H$!I+UF~&pRNsKn+&bv+=ODgbe$K
z)}j+CP^%Vg%yG66t2iq3m8Z!9<N_6(11gk2z-5co$z=h1dE$FXx2^>|EUVM1Jf{HF
zZ+LJv&WtFLtbF9g9Xfn_SL8lYA`9LDbXwYbHk7Skl9$X(2l4XphqrD>g8d&eV&4ZY
z^j*&A`#nDz?9v^dQ+Of@sph^RFCOrshn;6HIei20Ry04uFC+w}ChHNG&heu<4__f8
zJAmKr_x)SL_@TDvn~dph0aRc!ye4>)3TxNx+wz<^A?lG?>;4-8$i;J2V&k?s2uF3a
z=Ducz@F<63+k63}^hT}gSCJVQUbHEDdU}J}u~+%wpIZW`J<ohW=B+7sh<@(ZIkZ4M
z7+&<|<!J%Li0*hkoil;>`p-Bu&vB}+?0n@dx&X2raw&MMVFHV^ePU5@pQsn*$G`m+
z6hIP7Dp%Qkje)^KN00cT4y%?@(s<a#k8o}{+^=dQ_}RSaM%5g|_#CH?KTP3AVke*}
ziqi=Ea`Qu29{k3B4(mJno#IDT4NBpX-iDAnEOQTca~9*skZmbG&W~0T^}Tdj4B*l1
zr<)JI|HF!DCiZDp`H>xmP>D6!01Ul?S%N;VVEEE%E|X9EXpRV4ta<v-a>Xs|e8dK3
zdqC@3n6dz(m>YAeN$LZi&fRM}0vQkk=tMsa6+r3iJ@L^Q6mXV*(3#1_g!*1X6w{yp
z@}Bs;F)2xbkyj%Ze%)e5P49$amyY02o62;!Z@wPr{?+z#7iLB2N3P^ZEaFh`UsCRt
zt{$|}7fzO6XG3<1HQIj*1<^`Zfi`N@1um{14I-QzC}u0lnIT9BT~9dI_sLrqE*uGP
z^t;N5Dt(W7jvf$3-uIjGgE(~IxI0g*9*!Fw%35_acMw6QVZyN^Psq^vA4BYeA|9lf
zJNmW8PZa$ni~2-+l7Z}9QubgkAKI!~@?v}_hW-YAD5;brgArrHU@)5i3WyE7-8C<c
z!giUbG53*xAo;XEcvb)fMMoufcuFFi$!>nmd=iuwU#bq8z#(^g=7EH1DP%X#TW}_f
z1g{PUd|a3lL>j51<ssQJNB~(troaE^s+phz37&l6W<JIvj6yf6N^892kbk&*SF14z
z+BSALvKoq@xL6!(dVxHuW8BESPar|f-iEBjFj4f;bx~gGkpj9SKxluiLxMhR%SyRT
z480ybnf$(15$Q`e^*B;V(Bf-*+>9)Nwg|$mPrfLjZ2kAQyWB`n`iJ72UoMG?*M6L_
zVNgL&d4DtBO(DUWJd4m_x-`=2XzPvFRYf`T?@i4=k)U|4g>mk;4C07aH7fE~Lphx{
zf0=5Lq1-Jn^jLu$a@-2NAW^K2(q9HKi)WERssX1F_go&?kELJo`lW#!q^#nJvbw<2
ze<Ognz3yK^!u-54T1el4z))VV3uV5A1zdL((b<TQyjxay6j^J^?-i^EmjiB7hHon&
z50NtE5EpI4cl00QT{;D{JCAnFrYIw&lrkT^eFS9tY;J=Izg?dKWe@&bQ9;#DvFHEE
z>!6z@Q<lfH4WNYaX3FSURg~cID3so)gC;hmtFBub!ld|$h`)y#8ZubLn+g-r-sB-=
ze1H+Kn0%1PF;Yhy=a(~URf%YR#ph;Ofic_&>j*U1P)A#!{myZ_zsJ5rH~Uc&FqYHE
zpD5Ho2N@ndeo>`^tmdwnnyH#WlJJQyQ6x<yBjvHqIZZ%&dRyPTIBE`m<Zd69&D2EQ
zQSUhHd$mztmRm$|5*0#IZ<SYl(L@Jjzf5t5;*rOHZbdWu0NVYs4=7J;xA!=|@$S$>
z#FqXduXcb6i@Ma5E={D8`qTB#q&ixk5kKuup~3TZXNil~G*PvB%F_=cs_33}<?xMb
zG^ljH(8?^TiOAV!Pp#D}qt#NGTKZcWB&)Osq(o>SHFK9A-HD25-kfV=W{L)1M5+S*
zR&CFF>vJT<LmnAr$=+n$+<u1(r*3U@sv*mv2!Y~T(rEPS%h=b;G_W2W6!7d+MG;5i
zb`lH4(N@Iceu-fk>|1@rVeni9g&w>ztIjEcXl*d>S3`phhH{~XG-Z@t#8frjibMM;
zf;ZgG(;(n+#XW9sC8W47GstC-7kO*`=*%&u!8KP$ok6l9`WYABe(fIz64<}DqG}3&
zN}A+3!lZ!0E-tgre`Y~!MWx5KvH(6Zo%+OCA%}*Kp0wi+W<)C~yYN?N0LSSYA%s8~
zB>i}^<xtcHCM0y!kE@*u;?|Cm#GO)TIiRIs_r4Wu|9+qAuW(eTwPZCfrb-}IqRg%Y
zlSQmKCiG;WlQ|3ta6FtkD26QfdNSThEMR{>ecWiuF$0<3cJor{A}H(0u!LvJ9A+Eq
z5zqd^6bRK>O|HvA=*8lWv|zP4?AeRcQS#cRfO#4wZ^j6s7pl*tPf5;UQe9#~m60ak
zM1E{mjK`sCN|hCduFhdyu174?+l`?sX)v2}jUUz1Z-z4-p2yx$+Xdb#7{eRk?%b^J
zyy%XkPher(0+y>C&RcWN2u^qS88Y+ophFDVf+I8kupU#bBb?t1A-3iW!%P?#>QT4)
zz9(}D`y+KFt;N(3bmrzMBhsA6GrBU`ENBHYwBPEQ&ocmFBj*JBHFlKsFn+IB=o+@_
z&Kz@v-vDxLC?C7|*ip?X;f^c!H?ZSE{ERU%`tWYKEl&La8`7hZ>tJRJ`(t63_hp^}
zzC-Dg7A>sE>B*W$FNqQHP}!N1{U}h8sIY$G1S^{88$MSQ&4lb;7mDZq)`P4=$${!*
zR+M_Cg3Yy`8JP)INh|v5!Hb8+LMN11QC9*f*=#Q>Y8i9^!C74}Ki>V!+n5zW&C~_f
zUN-cAKQ`#{IbCSwn0BuXWkr$RsgunS9O%G8uu2-2F8KRB725Zi6%ptGH-G7Jp{%Rt
z%?{;~VP8VilQWKNh%J{<RD_2Iah>tyV=^Ga{^+^Q*UM~3o^n3Ml!Xti2dSjhe<p!O
zytSgvOLlbU7XR)>egQ;{fBxZBI0^Q6o-A4_;6S(<FLEvshhArKojoc~g8PlWd?gi}
z$XD%UR>*NdG!pco;m>;_yb~YmR~q6%r0Aeq{7;2YT1e2D_BbMxZBz@KBlDmJL6L47
zaS`;5KPe`fN(2_h28^eK7ZuUxDC-%bC{MKTbP5v@Qn~hJ`R(CH9Iq~JEbEG+7fucf
zPB}Vo&^RqvCrJSD^G0fHPD!9QDT`{_7CMkD*H87if<w6rD%1IIrBHp|Z1TxX0zAGy
zC3!SU5cR*k6KDHM2GvO0ZHjjiz(a$6RN=J{;xD_Syfr9?GAOG)Y0n6-`u88TlvM;B
zy)&w;&aZ&dySL0P)Dhr!z`50V4^hNI{Szz!ifHyHg);Pw0BsA`|Gw@OLw}Ca-F{q9
zLQi;Djklz9;2ZJ8kLptrXwhwu|N19o#FF_)<MIU^7#FnM6c(34-tcriY@1Wf3O==E
z>_iYwe=*)TERC3|TVpitsiBW6%n!Pc5#iE+^N>K3EE3^brRWK1Y;&Ho*YO(>Ry=nc
z-hWgc`C9*R+DOnuyIOIFtWJ^Oh|yaleM$k<L^V`oG2qd0Z(>H8C>gZ4XuNNt6_NkW
zW5vaO+Q_)Oq;6z*+bdk-9<gO9A;*d1<@=inD9h&O<9%(qa78vleWF$w-DG@`na)T=
ztC*Cd)h9jh82I?B@~a9eG$x*JP9&o6X1+$1H41dal=yWos-i2JSD$#U5z%?8!dxLR
z0E(zl^$M3dGU)aS9kL-I`C4c7l3YV*b6zgy70^KO2dRETr%7lurRQ4@&KNS1uio_C
z(m-52%f!l4B(%fuOli$c6F8Tv_eS)iCNe5&to=zQp*;e7?^TPNLE(r`1K$NL^gB@0
z>2os?`QCX_(UWBk@eca+RjhavbNEM?&Nc_Vk}NoKSOLPOO&^*b!lQkB$7eDN35YQJ
zq`$WUz-->3S|$>Y6tg4EFBalaQskF+o;Ebl)_T+#>WN3(<l$$BTs2Y7TCZ7o8x3Cl
z^a$B6h({lLhZci+)zEh%+0(WpI?Pv$z3)iSLQNSjdkb_`(5!`#p3*rw=&O#;@^xyW
z-N&W=WydKZDd8riv?4lidY_r+`l*3h)m$CM>g7<v-)T+nXLPW={DDmBQb$dn-tV|l
zEQvT=yw$Qw=&*qo{cj~(4c*k?<oUNCf&|~+zbTPG2e+6bmrmKLA~J6^$L%s43Ve0l
z!pngU9T}PV4<?n7qh27*vz;69a!yPUc<2yx`=g+LoDzcGoS8iqtY~4-aZ<IG27Eb~
z^NN@vI(9WGEj@M%<9@RDO!*-iY|@)5Gb^^eD5=Y|Ibacc?r?49)gr*)Ye}+Ifh<bW
zyEuN$@h_%%+VJb}_3eFjIyc|NB8@(h)XVC*eqeeJEDv+50E8;94}`@_p!e!7H)XWD
zF`PzWPi`m`47~nXuM@=3$${=LC+k-jgHr@!;X`w1%|Q&&j3TJL)X#raEDa+&;Hm8&
z&EPY0SZCpuAiDq5dk6o*e^jb9n}s^N8Tda5(OS~Lp|ARt{-;nCRY_0nfDf2L*uI*>
zf4BJ1Sp)y47S>OxYLa|E$IqL<@4JTcqYOMqeAga*nUMl&S|d%j`;{^5_*E(6<iLqI
zaLjl2xL?K|_Lj=&@E8MEl<~;M92*kWH^VDfR$=u^gxrxsMxad%URCI0L3ZYg*%>}f
z*r7G?l-4psXqP2azhz@ap>Csj;#emZU|m|+z-|b*(ra8lPctGV#QQ;Xsv8T|?-RN1
zZ2&W2s@}1}3}`sP@6HIdA6qzOaTV915A$6NYb9SdFv5VC9Kmx0Gj55SmDbURUj@9U
zTPM~q%UQqshR=Rt$}!p3u4Pl;SM0x%WrtO)aNu%|jPy9BK0gC`Toh1BsyK9;cLlS*
zb?i-O>K`mk(sE=YS`X-47d|xzEMt?WLzkvSrZK0z!1(T;F0@%W-E(kW!XCwxW-U9<
zVnqJQpK(FDaGqE36l?z?HhINzAdfVUHN?6f7M>*oF{-_Rmc58YjIBg3N&dq&*NG**
zXUJeXYjs8c`XYATTudxTYzf;i9F31!BLU_->(pAch~Y&0-fn2FV3t=UrOo0=fUB1q
zPvKs|PVZheoOW5mY@U}vk??j-Y1hnYNnOHzsIn3NJ=(z7vmz>M3yH8Szmwu%v5XyH
za1KxAV?am0%SMKn5@G+|TBH9ISFkbi@|Pb+7*W*fufB$29Y|7mA}~N$#m;^=X*>Fc
z32lDtuH+sgz>(o|GKnYFu#pJEof11)kZzkr&axT-ynpt68tPidT$T2M^KVvEXR1ki
z7NiZ}!qJg(aueI3!Nhg9gdI(=CRilB#sd?r^0==g1FHPYH}L2-Cpvy{P`pb953!FN
z?CK>MQS9@Cx$sBaXp^b-!d$Et1Vm<ls{s>=U;Wv?^EWSYO{d>GKcxwu2+hf)U}p4g
z_?x92K>#HhvNX#b(}auoIwhYD7L@h&#og>U9I8<eRVy0R0Qb~pOP}3rNHpk(E$5OT
zdMwD|D;S~yVa1#^gMZl(%`K@%FHsmpKTkTC#;XA(^8uUB>o`$k;+uwdbWy}<fBSA`
zjXIqDQB6{;<VML1THNvS;%LA{uB9hX9n!14?}qpCBAs*>lBk*_;`~_Tf6zo70ynC#
zd~pGkJLQum<RXpOT7P@TN~wcYnOL9lQ5?F<zmqsnD~lS&k9?6AQir8Bp`^P_f+$G2
zMa3vz9@XpTrN*hKgAUeqYI27#I$!nF;~tA5x~^O`6YiuA(rI?*zWotF<x?9l8LfoQ
zrccit`A;1_zwPT|trSBOZXvbZ{3=MijXObGRReH)^&U3mNTANZp$|Kst0HfOorU3@
z8ZducK6C4_6cRn@p{^C7j;5KUW)GKWg3<Alnal$+=y!ni3eH9oB`}3Q4t=c!#ER_Q
z%98Tv){W?MGpcx0sh}5}FQpCB9r+Am&I%|{z&ELpi+~v4URLd>C%`YC6L-JlDI(G6
z2MT(BbPz|~R~<b^B4qr#;l;G6gzTCX2)ctrq(X1I8@8RVZ7#~D5j|DVE!kGJ;b$at
zDZFtu{xum)Z43wByi-MKEb8t|kz^ziEOGCrsU8GA*<9+@Q%AYy@dLe*x@cmJG({Mp
zz<bs|<|64DDE(vfiP02Yw48UcDW}8$p5wD8evWA(j?z~}DerX=u1GyJHq!_)@>^}<
zWbkN?Y2AdqLl=FWIT*^3V*;vSSiX;rHad2QQT<??E^<}<F>O?21_#t8QrmF^G)X&u
zE^U&GoD{FWJyuEuJx!fYUUdZInRFjNz)nVmqd^s{?*Z%#4R@$)=U8SoYMaVeBC=<z
z@Xf8DL2bN!yS%9mT8tS~s`^MkLsC3snJ_vu^fj;Oap@pEWOeO*q85^sdbT4?%mUsV
zOw~)eMnE=)kGW}Ysi6~VAF~ZoEueqoG=FP@Hj13Dul%xK89mUcE$bezfX3VZUFm&{
zN4h^wg=aq6_9Jckh7kr!$ktg<4|35$=YRb51{+DFQy=I<Ubld(Ge>F<e9=IEb_G_o
zH4356%BC@AK3hN%{!LRbUL7$M-Dc~5#f_GA+*{73SiqD-M+Nr@Rg|6lr>rxY5s9R;
zf4Qt{0etrPhyUJEMqy3|=3ZQz#YCh-zE?HVVgH<};m8X`gjNDIzH_!>Ta=KZBs)56
z7FZlHo0LcV_ovlg4-HeFjyxBy@1%jK@>oI0-tBvmb@|4w;92T_4dd@O_Ryf~Q||i9
zNl7F}j(?wQyi9e;IxC{Soum00A2=C27eiSCcTMlgZ%`M!_WGOJ0-RDbc-B!TjKGZM
zKVr%Nj!VOb<nB?S$h0?iY5|A*Z-|U}?qUStw49FqQgcv~aqay0fe(4S-ANqpV}!EE
z&4)2>%)lk{<@;7V7fPf?&2{oK!OLQ!_#I=W&~np#F>r|$eK8Ar*Sf_B%ACY>5dl+J
z&{xGJ;+YWj?cHp}Mn)J;OwhSOH-Us)KReOH4eZ_7XB_(8jPQc%ND)2S7*2+}yyOg9
z!h*6bGp1J<prz+ta{*=q?)xTF)wt#`^`IQ;o&*M%a`hgf{Qv*(heyhtfC=m~Lz;7+
zECcjdo2!Jn7=pYY!FA@_2o|1S@nl!j7FF(uc=1fR0f^IfA=;VGSe`@QG2L&Q)cfPv
zGISmT*mQHdHWpluePWz^hTJx(=LFe#1OoJdL23Uhs&X~;(fVqt4gV(fa#o}>Z#M;O
zSDouVkh-YO9Zq*1O>a=~WNq>?P@wGl?$BtyZ`6~!x6<>OHmTOt0{=3f=z(^J*Nj5^
z2-Va+uFiVbCN*pJ(lS!jgB1U-imv~SQg<GC-lNd6No^^pPq4YK3pXEB=55CRrk;Pg
z9F-KkMLkF|78H`zg|BxbOj5L`sB2ty%Hx#nbL5uxV!2O-i>3#M1)XQ8w}!4NtG6-0
zA8kn+E>$uZF-N}a;GUz-x>>Ouh+>39hksUL6(l%*@zm6}`gtl&uh!FZ4-+_QZ(LL|
zCqa~rtIT8ne^l2U0X<RX%y5!BVFBMogr*m($vf4Ss9XgV_8j|JAouBdnZa=)G#jKb
z#r|EUYV$08Esoz7YR)x(I|d^7Jzg0ZZds*PG<^_o8exOEs~h*&%yhQL1-gB!U#I@L
zVP8t~;(+ed^t6!+1gJ?6OMKV9Nln}_KDo@t1qUMsN<%xfK`E78IU$w-#5cb%9Q?%%
zD>&AEc~xz28u=S4Sk4G3htRI;)4UKU*?8elJRWRc8d^3lFu^r(TmBRg0nl^D@}JFU
z0i83x<Kh7pU{I9WJ!OXj>i0{%)81OJHfVAhKCptYUgL?`0zoL{v1a@+rU^ORb_=2b
z>~J>W<Vd@;FsRpXvfMwT2}8v$0YKmcKiu8&_G%Hx3#tnD6VQZ-RE5KmBHUoRw)J&y
zh!`wX>K*H-*MNhx!;#9Wydd}e*T!>a3HbFu8FwQ>1H9HGO4g6@L+gf9@lkInkp1BL
z;p<Kf@Q-4>UOXWHb@zMZgL7pdWv(MjLq`LK6z;!{FcSn0MfIMOO!A<H3t<i*Xn?^v
z2_h;Hf^wPt!>hImpnoM*m}i#;)Mer%b{UJn2fTj8o^nOF9v<E~aajZQ8>Lm&{St+5
zKAe6w8p`mw&6f4tm<G5>e^H365r+j=C@0jZfZQ!htGd&gkS-?`eY;2!L<cLSJ&&qE
z!msvOZA~q360dudQ7;VxG|@}i5*lz0<=^}$jt7_K09ltgS!f|!rbG;DLQ$Mw_$pl+
zqBgd8yb9!@=<BW0a}{{VI}!O&q?`a-RrSyJj3|Ik{OpzB?K&7@wpl165usqpWsp}(
z31nZt^e9#)La>tM-7+!>x-kX8;TUBIei6vuyFmm&v{U8LVKO)xv)uXDrvlVpb}et3
zNWk<;*rvQf7bLt4PdFH>LDf&m=$_MLU^;a|z=c48wT$4YhFj`zEJJKp>M|L`#(Au$
zpY#DoPUx%rp#jhQ7kRnub;0Z`@o+-6ArN~@)UL~Ffv+9B{x3uqib~V`Gop-P=d~JJ
z%mfcc8)-9}2Xx`2^2^Q70j9vY$ERGMqz(UtJ^0=_O@_VX4<d73=5VYpA@ARUHlRY5
zMK&54Hc3v3#;O223Tp?kXabbm;A39dkl>t`#Or=;8ZdctT<CvIfbi_XXQ})|$mHeA
zef*6EZ8JwNyl*6c>z6%?3x?V-_OEKhI*|@f@<@Z@X9%!Sn?k$0t^tR9WUS`4xjC59
zA5}1*4Vw0`^IZw5(6^er&KGR~x10V%m2Kg{hm{m-%%%iYaqgLZ&n-YZMpiOoL<?Fi
zqf3v-%Rz}vGR@?@1*FEaMD9(}gw#8VHy<R51M<6iwCbe=T%v1kp5)s0DdEji(oupC
zda0XseVdQX&EJ*meAJ+&EM)G!A{U&WT9R|Iwt!z96Z0WuDscVp=PTp241mw|8~;8|
z2Qi*6V+|8Zuv}Q;r*U<bdP6#r`YehLGT4KNMHNLjqdG+KYyLouiqE{=%tnXElc9_W
zC*)yQ4Y|=ptQTW{`M{KtNQ2Y8SM^GRWkCAyXfTJ(BsR9BooLHTgC7EG#;zuka6nO|
zq}yl#iwrP-e<=mPve1F@fh-1@+80^`GL|t_ZfoCMApmg&lL$FCVK{SIX>(7)8pbxt
zBzTEJh5K_~J8=jHE<6q<yInW15xZ*{7Q4-XYj<st>Qg>YCj0f)*=%Cha)dwWoHT<G
zO2n${0WNS?wy7#g+QeR~CAeHjF@<+|);H4K*?>KsP3o5YCgxt-nkM_w1S*`%O?<kT
z;9gEg3iqoG%qE~GtbV~5V$S}37Xw>Vwtpw%f>+nEle}3;Gh|~JewC`KlDb0mo2m(&
z7GB4wEbo8riZFtd7m1EvV;87eSIcG`Ro1Y*qMh+hO@@%UR688bJVQm$W5sH+ihZ9}
z{E#nd2<+nzRk#JmsR5@}<DPn~V0;0%#m)c&7`k_`a)ot->hMkQgu=sROxL|NE~;H0
zvTgoL;lAEY%|4H>t6^Hk`jcK2yKLuBBa_N&dncQyuGRM999NexgG!%w@);BW${clX
z@I~tIz6%^XDNC3TB{lUHGX*Ldo|L8~BTUe`A+dmG2~$whUyM1U2eJ(M{XX<Ato*!F
zd^Z0QW|q-Jt^TbG;gS609hZABo;?C|Jaq{p|9H#E>!k~4E{{3Mkq5C!p>cKjJ4;yL
z1Jfw)VKT%CC(Q2E`;PS=tSwYkTgGHA{K<RZL57xUr{aFaQ7p=NaAIS48B3N@TX-}^
z0;@Blr~l3V!o<1x`L4IEU>)CiW{wAv;QZEM{npY6EJwg?YU}4JHdr0I(zZr~DW}N5
zT#qS?*Y`+YCutqie8FYel1Kz5yI{Kw?iuXyo9j{ol^a<8W8(=&IU<-fG#)$VKZ`An
z2+xO|+QJq_xOWZu>A;&IGbilp9Cmc*@ygRu2BbzX->vqL03G}<l<qq&VE+RE0RR6K
zSa&?t-yfE}vbnbF;+hwiYh3H|HWD%-MHA6dMn?GxB~(NqMKVfd7BaKCr;_X<BO<aT
zNwU|^@89!!&UroOeO}M|{X9o5_T~1~`d!G;`#UlII|+VkZmnD!U!;vOA1lAJPLD3n
z8lEH(NZ|9(=v-IaGR@4}tWxwKBTAF{c^L1d0z4v?lL7};X%U_`SPH)|Avcc@vxhWg
z__Nj#`h~hq%XN1tl?!G;RmAD%eIm*r;q+hA2lGvu(P;v2`93z3a(l{5CqxOF7>=uc
z3EQSshjhA6?c+e~_AZrDlZudh`1zyw1v+FCjZ4Z7+l?Gz=`+NSDuR%6cj#Rcdi19K
zTQqr!8-?*?=70UF0O_zhZ*LI;@~%=gNi^q0BY5InIX4CH{BpIX(SQl13Epbfsp3Ot
z3f&j!7v;erU-8R<-^@tlnpRwntpH+|Fwe}sFAou!iowS}vZB_v2ft^q388E86|GTb
z@-W|by)v$a9fe8PT$}raLtkfoH(VIxp|ZLsvu=wM4QhVe<-0C|)^DeA?du`}_dNN|
zyazWr()>PSTt^&b3*}er6a(lA#4pS5;zgQp@bmaHNp!~J)~=ToL@;&X61(BWhqS}@
zKRT3!N3#W2FNd}hp_V53;>9XIy6;1L9KcCHuBq0{>P+&G9+zd6nIniyZ}GP3CdeSa
z`@Sx&F7m)1A@fM*KOD-gizQrEmqYKzQyT0?<RR^&K{2zh2zp#r*r7R1M0ly=9)IsC
zfRlCcHYrXFIo76%x>PBk9)%O!UBQYVn<X+$>X1NsN5#3K(v?t^Xn>+%h7x?22(a#w
zz$0fK@oc|%74&L(@q-4F3S>CzAB{aFjReK%UAkgakxjWPUu`7`-Z<_zGI~Qm)5*=!
z=Z)2o-p?A>@3m?m=-WMZMNSrlol!EF)*>VGAnR4v-DGIqjW?}ImP7H}uWES2G|)X~
z?_+(Q8h}$_FqPzyNBx5BZxSapP>f>4>D$Yi0P!|(@|FU!?0r<!8?T81Z+2Hom1x0i
z$*NNIiXs|nyz<zKgMwD_??$9N(1Git7II@w%1G+n=Y_g`6x3#+^tv&f3brvmw4;wy
z(AM_HZH~P=>k|u;TebQS*Q<bNl_YeQ^4_-apC*#|DRPc&!Vtpgl?N_7QAHK)<<2g4
zn#fiAQe8g-0Kx6btGzaAD7Rlt#`};4a<NOz@nSKCU!l`~pS@B;IH^R!Z7wnzecgs%
zS}=zH8e)<(KdK=gxcp~~K@C-HeX{dJCb01G+N%%IYAD}n!9V?~GIEQZSGjn~6bhw&
zm~^kGqM+?2zKU{rwD&_muHtu7aDB)lT!2$W_3c0Tm)m6!vwG21nt~aS30taCvnnY6
zu!hZ}2`QwrY!ub7#|+MDv~F%(S4OK3<*ImMg%K$UKT4sR!AC*jYvQ;f>RSn)q&Dy(
zufvRkF05v-rrMJD2(N(pV=4?KFSDS*U2m5At4tv-zw~#c2@y%n?q(cjSfd4sKl6xl
zGzEDBLv-3n7Kw9yy7qT)n5Jrc_}1<r6G##(+l=repqT6DuZxuRVtX$}CaJlYz*Qe>
zxsWJ4B09;$jo8g&Ph~HaHTD@pVP5_reOC#zQ9lsU&b5Y>%TTj29CqraIz;zzSOlpM
z-8g*B=)mk><?^LgfHLy}51IQyC}TqThSFVn_;;-iqgn!#_oxfCT<1sG433ZO1Q}r<
zM{tvzgaJ>m)L_O79>i@L=zErq3Cg6?WUgfzf!@5%ty&@{YR~xZ;_m<^5Ds3;n=Uhi
z@4L2$+80<*f6+1@Zz2<LuB$fqcNsvxoz+8AIR@0J^I2%(A`{%dsyf%UsSkQJ?-=Zp
zw`lK%ty_8(nV@{LtM`(+J~)Ni4s;hS)8v~RFmekcc+hbs^qkj&#rVOv^oV&H6Hlsp
zsXHUQUYlgwUqpqV&yBAK>8EJsIl@%p76Y6|D(u#4x?oQmWPac>K%+Y3%zV#c0G=YJ
z|1fJ^IN24#&Q<h*M%l+0spHH5q48wT!e=_*7hgRT=1__y8{|=!2@J6JjTQ%qK?mAh
zk{iZGJ2CxAqqYKO25_c(Wan~58-ndg{!bHzuwdc|?nNdBXo`)VSpKX9P1h42Jc}8}
zzFpAasNXr~tn1`>1*Qe;D-N-Qj-S|%L(%ScPcXo}z#z}Fr4*1FtS#g!o5N22W;+#D
z%>WJ-*#}3JDX^!>mnm2FFSdHlh7zm82xxK`W6jfqNQceYXor8;*=Tm>XFZIt(X3m5
zlr+KVMKON;!V(s@o%*^eg$Z6bPX=!lYd~YCS736;3T7^Rjj1n;86G?+F0Rqn0Nv|W
zKU|{Mu)}+6taM^nfYtSc&ssAXTJCqScBXD%&j*Z;7}l~vN4|schZAIw=avoGuH3>7
zUAq|_FT@VPJ*`=4%j$5p2!uNQ>7Z*YQcC0z2e`h;_<Sfy9Wsnse@LY40#nEJ0%q&o
zaPPX;;7M(DXer*`%-%{5Plh>;bt-cM`xqO6r$!AD14R8x`53|7z9cO(g9jElq)EI2
zYLL~Yn@93tf(z5Z953GTg0rXO_Jtr-I7*)ylrY8&|H8do%IWx_H@n*O*AxjR-}f(V
z1+s!L^~KQD;{rfU{Pi;YGzpBHAKu6!vI99UV11%b5FY&wG}-@G1!A=@)5=v2NU32s
z)^!;N{52YWC2=YMcl%Us{@o27$wN_^R1p}y>a%IArviTIIp!309tf_rlKLSf2ICzs
zZw;?1!_QOS7mt#8!P<}xC6OecuIK(M)UFJ7IXDJR`|^R}+=KP^?o#mOy^D=cjWVRQ
zJ#<`d<cABaxk+z+;K9LNe$T)=We|!YG^ZK}LTKf2xilgH3?CdaI60*ZD@Z-Bx>X3I
zb;Gr7ugQSxT2@<&nhI2;x!=7NEDXiJoS4Ob%fcG_La}4I3S6xFIXq@A3je<CLHE6h
zV8r8d^O+V2R2LpE8fl2bkZ3{a$!&SC=o)lEn<U^o!>8qKAPGuwO~=^M6~R>9)M0K-
z74{d?Pa13BA(!>jp;8lNNZFUTYA&J<JZYzMtQ@7`dF2Vh{Im*q+?HXO=u(F>SAOTC
z>ja>@QWlMjQH3rMdbZpWGR)-U2RYZsKsI^zU$Ncl(9hBE<wThV)K`AxoL!TJ{K4D5
z&o`*Upqtbj*EdZtYD!-5FeE~Ke9@@9CmDodV>pwET5$AS^PkL6d3bOeM~eJI2KBQ(
z>vs3G;nPJ&f4_1Cxag*Pa<9Dx6qTqj6v^m<|9WS8`Jf``h7I#tL~1~ZBBRP`3l+Lw
zw<P)fR)U{_zC8TbH9$i0>z2q3eE`O1y^2H1@VBf&q1bGP-(R0Mul5?kh=+)-QH~0n
zD;x0jZ6t#d*-Z8VBL>}L|7wGbNMKoM^)iQ(3=Fw$(+8XYoV56kXQq?DWHI}xihw$3
zW|nhM#En7k*Mi+{8VLk9zS(a!@Aylk?`qI&418?9N2!@4X!!MXYf(TMxSj7cwjDJA
z!=U|~LWU%uzqt6pL`ngYGnn{4wwi#2-l=K*)E$3uRw`|aNe-^?PAU$H?#vgC71Uk5
zvp<%q{%u?u%I_?muG(V?rF`#?*gsc-EI*^y2TLU&%ZQc!o2@BC7*t#vc2nHZ1tVAa
z9~`{kQ0Cu5H3cIHW!Aw}c{s!?_?Vi*2SyqG?>N{@A-9TQO7=1l+zM7`euErfW4=}0
z^Ueg)0_#G<M`a<HuyFK#4g-jE3%$K?-UL`QpGYfM$Uwz|BMY$}t5_W$v(_ON6DV2w
z{N?CNX?WpUbu7Pi26MlvGMbiZ3<B{j^<+^zSS%T`i9YMZw8rMwautl>Gta-083hSQ
z8f89f<5^FmDCeeWmjO`2CVo2@i-MOU%jUl2AzB;Tk>kfP0MUbTH<crCVA{hH!P`4Y
zGb<~b*prOG3m;D7?nMFEd#b*isya)X50tt}EHi@0+Gwk$6h4UGrD}c7;1BJm_jE@|
zk0G?Vda%!U@c^H8s_Qz>Jgvt{Gq!Ns04h_qD+;GMfjS@g__FCdts7C){M8IV=#(nc
zF=sY-@S-y>Y5fmv`DFkn?`eH7&P<@smSKiIrELDoNB+>LTsOzhKGlP8R^uoea|Vzf
zxj!1S^qUscUb1R5NrhlxcLC38I<R@|?OQnci^lKHl43!o!rF0`#0v`>SSv<|>dya3
z%c2iItQD>c^yI4Il=T(NOeSEx;K&p$bCZXsyhjJrt-lB5U0cLTtD_nnIVNbt?J~P7
zWF1J9#26ed{lzHklF|t+qqL3;J1gS^ZIHU?TT=354*Po7m#+T#58Ai)$*~QKTHt8^
zad!~=4EBj+9`MX~h(;NGz|?U<3l!wCEyDRGv6ilZ^|#^QXy1A^pQ^M{fPc+jn=xk;
zyY(e??+o`>+FaOXZN4D|0yg8=$0~*~wkOY7{{8Bri8S9mAzi8oxkJW*j;98&wb#|>
z?Qxy7M5=z4r-~*xj62?&75<9NhicC!;6BlY#2q<3@-)D5W3O4aPZze4GWBTrb~CM`
zGk0@VQ3Ja9Pa23jc3|vjxB7F!8)$3&snnU5WaxR}^0eEd4TIxS%f++rX!SFDu7MUA
zKA+xXj$dfRj#px#<<T@+_XQ^XE}A+lT~zaVtNj5pp!5=0SE^{uh=Y2^MjaHjuaKVz
zyu&=k-aKyRDW~~9Aubf|`1bVwgq<s9-(dVQ-EP6OVp?BC0zG9+6<p4Dy*iRqjhWnT
z`>*6j9!)Ix-o<cURp8WI2^ZO@z=&RWej(yh+J~}=XWnKc@LiU6f5uvd30tZ8h8{|#
z+4H1%c7^Qd{AY0d;FDJvp9SB359_<MXKS(FVs~^Noc68e@#!MWij&i17he!<o#6}S
zzo`Vt8@1!UPA@P@n?gAo!)eSbin{K;M+w|c`HquT^RODFs>TBaQJCLCaEL*oB2b!Q
z^zt-wF}@{AV6aCb2BFW@zKtq?YUXp=(BEuKZ>C`Ec;Z9My`;`hN>2gW*L9Q66SFa*
z_C1vec#MUZ2*ge&$-`b(r*5{l&oSoHBM%SdJ;f6GCZCA@BZ4E_#&7cL=h$UI6T|bo
zIoNVJOKFl55gxQn3Dq%VV>jfT_M6?z$CUFSUXLaRW>w7HkJ7U-g4P!Wf8j#xgPnKJ
zoRS=T{^)9x5}t#d{Of@eoi4_>!i1(%Qe}5^y|-KDWiFOQ3QG7gT!K}lhs}y|$%6Y>
zdWNc0KBna}z`?LqhH>rEXgC@r14{*;&ar+iz-A)9w0Y@QVwIUoTqblfaA0r$LCe0E
zn1VFPQT#;}HnO21QXWQtN|6gpKlq9<hm$6ufd^`_KlE)=X><fIXw$T-a(#tGFZ-Gt
zq0%tHCwIsrQPMEs&(-(-YYFB>C#@!}`4$_rA{_MQl7^tKk>#pkW!P1m4B_ScJFLQ=
z=BAvAhx!7__It+)%rf$ur~P0(mVwLWWmLq&YGr8mAJ^B|7S13mdc6Vrdrms}W1tk+
zzj0yxlv9m8nXYU<;n0M2d!<=;WlDm~$Z8N-tqwb&&~A8Tss)oc8}YugT>>_LABWOS
z8fJPnLI*yyV<(R(ZFe$AKx7j(=n?l8JINb7<Gu13>+aq<Z)GG75rjLRF6@1eO*XW?
z(5~*pgnlY8<HE$?o5azg9P$S&+X*Md^0EuF-thDmelH5+vBZeu_8+lnNgb<*o*v9l
zwS--Lw<wJLso%K#q6xb}hYMIR=)(jvWz>z2iGXOSi*J%;D`q_GBzbu98;0v2aV8fF
z!=0+VV#4a5u$mvr)=`7sG5be{&rY!lL#(A>hzz9zyMEukKv>`h<|cZ1m;GrRB&e#D
z7H)Q89iPN)<EBQi=O48eoEwE8dCm5}p4Bdl_BppGetrxywyj6=szR{QbJ+TXYA+V!
zDwV9IHHoEHZ|&nv6$FaeJ)epveOSOnnMY>T(^%pBjr<ZeL3lj)SB&TA0A~IwF2MfQ
zFU(u8ORYCl0B#!w?G89OgxSm9D(=jg!)9;cs%|dvgP4zZkC*EYOqac6Ln2`wJ1Vqh
z)#J|(wUV@0B8+0m*S#O?4qw2i8^VIai+r%+d!4j-a2&hfc!`>pw}|PEY%Y8X;e&yN
zJ@gv6lh|WLZFG!x1>-$u8vlcp4+?6oHqi`!Vo!4Qc%RYMuycj;a4MA-p6@?B;VU_d
zbrt{R$f(`K)*5Ap>v#O<A0oZ;6~#Z;m!>n!CAa9n%?j5V{fP%gQ@;j>|DDII6drrC
zd(Z=8AI~w503OKu96J1JZUHNw2_9SuWQ5GG19&ZI9$54Cc*-Ncgk?&}EWD~`2CiAV
zO7%i+;3{mKvCUk;6!Hb9C7sxyEXMQjlqxs495br;=CY1`Qm@|EP2mKFeaT7!ja*P-
zBg4PwyM@`^OzBWM%?-0eOLmbkE)b$T%O9AfgGesYjCk-4@ATRvze8N`=Q*`dtebwv
zjyI`Z4B&_9^I|0nPF%n|UgY{_fe}U`l^xu21feCKZC>Cu7o7C8-2K^(1ti38-Axb{
zhIefJ!wzd)5JK=eGcv~p6CIXfQ*ENq)2|YlQNj)BvK)Tw-#CF_{DIx8O#-fro`3Vl
zjR!8Nk(NC<cka#fg)jCF9$cHluogToG(XkeNd3wSismtECT;{M-k3M9mgWO(oSF)$
zhkr+}ubTF_?ewEa#x4Gxci*s7@6~4$f<Mg<&f3KjA#*-ci-jl%`IBl9uLFgl=JCWH
zhB*Z|t@TQH-WCV_m3G~vom?SYU5axLQ3e~)pJu5{q9D946wa|qLaK!!Ra{FIPPln3
z8lT$98C_)Oh=+KH?YMK>F<KoEGn0^F10IAfvAbQcBY>(%$5B}(4cO08xKwW=1D?}P
zD@n4laB%M8rC(8+kWE|hQ$0e2m*%#wW(0}AL+12%rqcqOqbawg))irDI$@qDsQ{mf
z+UyUX(uSflQ_9wcs_@|?D?6s81odF#`R|DiAa<k0_IqR~n+cR$wo`%9be@{TOkLpr
z*w{XDlmePgV%CW+svy_<k!QzXLdD0UqxwENQ1_>BWL7~P7JeoK^afGEuhQCX*Bd?X
zsF}w1u#$meoz7-Zh6-O_eio2ZGXf736v|RhhSaV{Umk1e!mf!QLq|RXSY?#Ou-Iup
z=?4D~LasIl+TKP?fhMq`j{6XmsR0~?G!?c83dp@b_jqm26v{WeEHhqe09jd)QaM0|
z!3t?!4bmQPd4BKpQh)}$d9^@Kc|`(HdA>%LFo(pra5?`)GMIV1?>VtY9zGol+dNZg
z4#Sr>Ru5>BfpZR@72Sykl3VY0?R9fd$NPzv?&RIHsPk(oM+5;M*Xr&+XATR22T62-
zs!*vjHQRfP5lGn;lJSqt!CFJF#P^aiz|?i=^r1Q|)o6DlPSPAcN((+VDo_CH9_xvB
zceiMiwFBLXL3^OzPp0B<iySPqMvt*raiYudxY-+ZW^mKUbUb5*08QWJ-li$?qpTyG
z{w`~#@F|FBzFPthd=#aq&S4=m&A06^rn9qN*q$cSCko;gQ6~uDB4}52rk8t&2`p7*
z_lGqI0ybf0ZDlNmC@SJw6)ncl@N;?M?rvU~i;I`*JRpv0=XOnfk~fASi&G!W&$2;|
z2=`3=m^f;Zt-fcO0Pxz4`@HexU0{^dGr1@%fp*0w4)?JDq|~mRy>sgyhU3>M(c_Xp
z#i8Yy9)cL?u|`}O*Zz)8G5<bD91utA-nQ~lWFwGdzZSab@tLMLgA$jM#1XCBaJ|LN
z5d5{-wHCN$X+dFm2Di<{Q89(EvHjElrV%BJr+=9i>Fq0^w=RZ63e{VLm-L~+*h2UO
zjt-q}YDUS`V(4ko+(X+#`e3$Q`RH5+18U<j9O8))LkE>5b)??wfqOrTzpWw*I_1)Q
z*3(N2UF`juX|1mZ>IuyC-YV?q2VbBs@r)QUG$k>9t)oK8eRgS!NlwJKk3P3ENDQgJ
zlTco_q(WK4(y;3(ZuC6Nv(@aW80s)(J}W(>3$~%yv&Ua~kaP9)&Bh5awC7|`=WvKF
zT>5Y)Q12%%s<`^N%-B>Mxr(+*{v+rDYP*9PXZX<ln`H;~ycS3AS=KbQI&>hnbL%$#
z2R|~gtm9PPBZ2TnzHuoxb$~@&jXtMM0QFjFWC>48Aog7+EfvjmfKM-|*r`kqy?;r&
z%=%Ok-E3BFW7@3)>CG=6HYW?AC7oi9){9bzCBm%l*nl=X{%g`e4aT8*mx)*=B|J(W
ze>UM+rVTQoodP$G3nP=)Rdo1gcy!_MgY3&YdAx_tURvK&1SMjk8_q;&B#d(i`*Kwq
zaGHaPi7KL~{fuctMUgbRS^np1m%la~NKlyc7ZpPZ{(N+j7y<DU7nQp&YC~nsw`2e9
z7Dw!BrYtsJ2#7mHFOC$f4X4Z*%4e7)(B(%LJbFE4(2vqTwHk5Sa3x&9@;!qj>SLG4
zmS&ViUq-fWs~2d4abq!OHnS8;tIHKTkuHm5E(hK9=+cH&N!w3<neix)spxMEMGn=W
zK#3Jr9bmLHDKv`3qgn$$OTUkD=;Mr2=BkAb__o~eyTvDsWL+3KUmPGJ{`*f3A57AL
zyOq@+7E`2A8qV@*P7e`L28Bl2e(Hb;y=l%hNdh7#?rD5!BabGXw^IJ?(}f$?nO0Vw
z5YW9d!&{5x@~G$P@f1R(E+h*MoMIu!plI&AA7z{hh}ryKuAed$q_d0YG}2|z5m$zD
znsy3EXYj~aZ4MP~nE95E@X8{KkvkUC!3rqezvgw4k{*z9y1w{?$)fplt{SOv3aEhO
zvu#<T2gRIzS;QZ*=-q3ZsDLO16tZXK&8&ewZ0=L+chZ$Z%{H3eYHkY1!>ecONTWUo
z&7~Hfx-N(2d(IGucm-7YT&~g7!2m4a<#=bE95OgCo#*vV9zC#F<}~?g06)c)gdL{k
zkZCcoVZ=fnNjgivpK&sT3rd35x)_M)Rn5XrQaKSt6u0tEw;RH_nMjdjP9h>5C9c)5
z5s|HimI8;q5u|<PuqEx_Kb_b1EwGeBO&kv<+)|Ao{rB|VTa$8V?}>uW!XQ}`JIXR^
zJ7WYFl+W#7tCB+_%JOy-sWPZ(>zzfC3I;cWw#T%t$f0xGr_Pj?5s<0cQuF^m2u22;
zM_Q=JAudX#L`<_Z(r=*mFbl<C%)cZqp<Na^95BS*598509)lbEVljxAjO!?Omqov9
zPMS_ENugU><}!UT7)X2M)y2=spzz}sOm__=k+{=Oo4o%pD1D|SD(fwSIGemv2U5fl
z<>Q~8H-|BhEI5AZ<|F}iymR5><P}2#6-v$yJ3I|f8_;@>5)j>L?RB+05o9(u$^G`P
z5hTA%p(wUVqoL2dtr{M}NZd@dI;7ADy6kcof(@lnv>%)0Z&MuFe=yT>)71#%!UT+R
z3-QQqK&Q#nQV8j&=yH{F7{P`E$Kp8x9<8m#N}B`-qLvuVTP($fJ2_&g_bx>WSsEN4
z-&Zey;_!4MCU%Bk5%0ENOHC5(+fZ>g(iK37-2(lOej30EmY~6}BZ0<Lb#ouI^CPzY
zun)=+2GFF!&LV6pj`s4NT}zDOM^XLRW`9Hspyt?tte!wI^txlN$L=UUiVUhXZY|OW
z_FS`p*dkF>`?`vC*oGe+IiArQy+<F61I=G4Z-}61PLIznJ9sihuWjI)9*j@j*K$23
zf=IQqE)3WCQOpe9?UescAC~IxOZzO0<VT;1NF#ovLB~xl<<tW|#?TbPVPWLyttX-@
zAb`5LzvC=&sSv$(v6^iOhXhitCM|>rppl0DsZ?_+s5A;MTjt;p!))y%<y8UnW;<Y2
zWJ(wMotQtoy?{gg-#f}iZwjLMkHr^Bak_w)KaC8`acEnJR=rn22wf2ya;0kPLUoP@
z?mtZ&T4L09&gm0Efg={lnWH)&d~R@2nSw*4hfS`&k8tRF?5g?O`#Rv2P&vnFfkTq(
z(^Lg7VN`R1%bU(d2i6Omyo$YX=nxP4B@bH>bU#y$^DUbW>}#!;>f7NNBAQbE&PWuw
zyQ~mATeU&s#@2O(1srO8F7<WDPz>4K*}i&urw?bEEC!hG7e-GLDA#QFi6gyjcPqIa
zAJ_1kb+Y%3Fd{p<Ovj#<K(Ue`HlhYQc%pSth>-}|Z(PB>c1IGu$^G`PPE;ETUtS7p
zZ5Kh5v%RF|_fkl;J9#E{mo~Vl4R1U6h@xMC!uvPF@#y$1W*e4yEl9j}P3g9j7)qPo
zpG}aLM!z1)IuuQ7LC~GOZGGQ&=A|-jB>J;7njNw7VEMI!AI&;_^MyFlSCOYuLkTFN
z#Wm#aiWZzZPjRWbDS?tbsEYI|GDuKks{AdtHVpgGw|M$UqS+~#sVm=Pkiz(v?cEyM
zu+7Uo>TyyEnf+(fwG}Ok9Gy1$yIi!P3M;I8q=rYf6Cck#(UL=sRjPQmhuSb`Z#yYm
zf=8+!Dvsz3$f5rM009606qk8CRDT<WQQ2ji&Dds!S*#IbXP#`SP$ANuBwLG6veqvm
zg%%R2ln6zXEFn))p+q4>l7xh)s7Sr@{(C;3^UOKV`ObY^xA2I5*Fe7!WYSrp#m02Z
z%ij?08o|OR8v`x3>KVh1enqxv9UXVYoiTBeVdIY}ccZ&W#$dQ9BKyEf2Hp);^<I6E
zjgfT8V{x;_@G8-yfAA#(|6{wiImvL)wb<Ff%HISgv9IQ*s~Qelu<X`^a*+IzLR%Oy
z0r_`Lv)?<^P?h4;1PvTis9!dHVV@}kYfTRRU8{~O)?Dm&o8us`n_ivyV+wlv>Z&y#
zt7FB=$-BP@8o29>&uQ8jGdQz%S#*px6Xm)dUXzs5z{jV_qk3#}Xc#KC5=~@cQRYbX
z;wcV_YDM(=*O^1opT-M=JxpxN(E3ljn1h8OOFL}bEg&d;U(#AC3(xIg6jK~IXftQ^
zR_3z>lpmH<d9sRy!)LdDk$TR?Zkzcw<xorLd9!HUKOYuuJ#6s$o;Dkc7ET_2_R|tB
zl<&MN9mK*empd+%!7Nltj;y(`&kCH+rY!Z}!$M|n!>@}uOjK+;<GQKK3VxJi+fMN3
zm&~2|cofxfv2?eLl^zdb-tUebp|FtlT((BBRSl)~W`_42=E1<=y&z&I6V=BT>+S4d
z;Df$M<<&(zn7MpPCo6`D%R4?>ZtbMwm7q(B3T-^FIc0t8uL2Vn!cM;Z{f34?xz*wu
z2YBG?EKQZpQ^)@PLX)g&RkWl8JUZUbgOloOL*6mfF?;Km=<!}<+@XHtT;y{eynT|p
z@5UuHq_FQfPY{(b!$BxAD4z!w#N8t0VruBPbtZ7bekxw94l#alh(G_n?>pav47|OO
zYY{z8K_AZRZY2{Q<dHjVM7rrHXH|PC@C+HJv(CL0p0t8NH|J+)K}U9$t=QNW5|)O=
zWb0*G!4jFdb62j@aDl$hzrclvH$1OO8(CRFR!-<ZxC9NOnF50cg9w<u@_xvbUQ2M+
z&}p2VR>8+yiIXms@_2m3#q7>tOE~L2`dz6<85@INTzkrt$BH+j!)#GY$d}Oy?tH0)
ztIX9Z#wz4+&)ug9m|+23hkuCCI~8#q@!0I;KsoH*sV-8eVF4MXy0)1UR1E6O@5osp
zhXEb|Z(A$PA<%NiV3YzCTTZIpdT1zzJ9NdUf)3_jzIm*o%u@jceaJx#Hgfna!l(3m
zml?EpP@MXUDM+CI7AWS=->%o%vC_{BJYN4T+pIvrhf^{quNBGR-F&mCQ~dM)@vJO!
zQwAAF?d*GgEtbdS=F^WY&zV95*!}9$C8J=P9@qxSV`0g}lGmE1pxI_R@U(}7XNprU
zub!4i**cf{yH8DkPRdgp%pl?UMK%^9vHZPNBrmh|F@flvpE5@Fkx)`scQThlL=_#g
zgkdog$n<v*h}%fQl(OdMQT;?TAitOYRcZ`HGeRjl-AQOO?({)CmxOL>=+keu8AJNL
z%FlFP5|+6HE(}MIaiQl%-k^*zfd1;|{z)Wky`NP7$cutoetwLOYBU0!N`>OVCnOX+
zN|xBj-;;C0vQnuNMsP%P>A~f)WSmNjzu~`~iYk+_9)DLE0r9{E(Ixx&a|3fXmxU-I
z+xevq5{%%yzoU-udosGtxH-SSsD#hLtK^%9x!^1ys5h{Kg0n+ELXSLG#(j%I>@$!H
zpTBsuoBW_)?FY*pqY|npu;YSF>2)rwnK@-$bWs8APaG33)~4Z#^DC_{C2>K-ON`dy
zL`4U$pP4&)Xc+8pK<m>nE;K!uxl52&#8BTmmY%2hdAZ{2jOtM?6ncr8505C~agnbh
zWh)rC=Shacy96#AbEu5?@3|75k+@W~ah`#F2ZXI}XK`V7k8_4VtujUg9DP4lu7*#9
z{<A06aAD3hGsv!51rOXY(0g%E9d9gWSEi0|!BRuNXs$sOqkZ$F<aL<1?UHI-s;UtP
zuAiT@4y0kp!gAw;k4*fNI~M2dZ3Ih8^Q8plXsG{npGV$#7N+R!d!S!#1PA=$Hl!!g
zG5kQ1{$(>Z9`KJi`-fl*3-<f(K2%~L`B&2x&rUXO(M~y)eAF1;FA8Z{C}v<>npDu)
z9UK%oIedTrFJnkq)Uv#or-t(jKeqOCbMSXc!>zsu6F9`#leO?d4L`y@w;D4IO!%_+
zPpz0K)Ywb3d~;LBEtw?UcmHW%LFC@w*RoAPq*KK$v{N0W1#(lBiZ#%(T1ozal^J|?
z`LK7RBNMOMRBnG<rGd{2+*<lRm;t3#_@8eD6HBcV9~b9n;7s}Zl}YjDP|-y6i6*e{
z&`hLqgue!^3H>o5s$&6>ak)uJJ6V`?zwcaulm@ykeqy}2)dDWtq;0ItVqsNJdqhnV
z2aoNk@;Mw}2|02AQ9!Q07mOns_&NX2yw`r5jayG-DZBr*1nc4b|0Q>^F!OWL!WS(z
z=K9(d5#y{NsYg*!qmza2mTa$eTF1gDMLQ+xf)&&krp|n?VPWJF(X!85nYfOnuuapO
zpXa=)?W7bI?n-WnAMsR2ja^$+6Ds++szP!!c4Q$#sLrl$l^W_;Qe_2x^I(1AH}9|+
zCXPB+&c+)sFeLkSS(qHaCVL0dfYVI$d10!3UWty+J;l^nDgck%e|ZSXGjXv5QP@SC
zh7U7ZIv=Y7EHnzFg`HBz7vjHT7>iWU{nt0MMlwM21>O(aUuyW}lS{*Zq!J3a#5eZ{
z16*q~YW%%f4NJ5Z7Nwa`@n&S~mAGCWsIIseVNk`uOKyR6n@&;C>%2U<Ig<x^zfM{o
zmt&y)w91_aqGVhqAFyVN6Ax17%Coon(~-5OeD|}vM5J{1C@aob!PTkYjgpUPSn1U}
z=#WT2S6j^LKF{A<n2z8L6&m(`59dxN%VXe{{WVTnR**`H4w_p~!P&ikdQ<D<aOtvO
zQMp=v{+rghc=7+|Cd!E?yr}#fesp&F!fH!cd*bG}e!ddETjwP}zATFd);CD3P79Fu
zwV8bNf+C9SVXJA`$zofM#)l7EEntE&e%k*c70+lp-<y+`#mpDcFQ0ufhqf`({?Ek<
zIJ&y^<;OW0Ts<|{c5kmaJX=Llkng1+uluIv_C>O|Kq+?eo;3rPwQ9~Ml_|JbiBKcU
zmPNlqJ|59W&A`d(<?4b%Wc*(6?rQfgSrp|s4xW`X1M_z)1TPGe&?<imtF1y7pB3D!
zSH5Hl2X%+dZ1<8dBlYNrJ6#T)wCuN>*EWT^bB^oc#7S7~oqI>>svJ%Q^JYCCnZVuM
zsSjix5^+GScCKTYJi4A<D0$^+0xo%uKBwb}cq`H_weht)n*Ew!xbyw3sbciuc^@La
zNSSzT8c)EF^J6)XZVc1iDIv9+i1@6%y)oaBh}p~DtsAp222&%UCE2@(nBF3tSHmFT
zEvezQq7fsIF4ZJ-9wlO;g-@`#7#a6m78x2%H-Zmlo3787647+-sga-n1<k8PA1yc;
z!T88+ovK+Po*Oy$->k3#hMF9+a}zg$2RXdvDrXYPmEYJUtU|@NVR=6{wQ#{afo^uE
ziiGo<>MzRMDWX+kNoRaI7w7{I#n&2>QA765uki>aba{AUY@;6+%F^8)tbIntPjCK?
zLA^4DPqt^e*>J(y+5D5Y9|b#-9`>e?RdFJ??4lTp3-_iMA2Cx_z_i<cT9Pek7`A5C
zXQ><)80}(T_6;iFiC&$asTmq(j-OmBAj$=yeN{oHE2+4ke{PF;86Bh7U$}LQe_d%;
ztgYZxMP$&u;$jaoFvVES!<fK@YITQ6QkoKOU9vp=x|JICpD|)T(c(g=UuN@YhB7+j
zPHt2aRmb&*vrL-Sa^d;gsV>jk{Bxdm+raj<ItnG-o9g8AMdG>;P5ikk-n{ny=9f$+
z>Q}SQ`PXsb*}XI3tZ*92UHtI*#&#CE#I5%jlQ4oq(li4pd4A5%-@kT6nT^D<ze?wP
zj3D&qsv{zI=ooD8I#KkBjRv0hJh0UWQf@<6ks||zB`<ZkhjB26G1_NuZw%KXpP1|#
zW8m4}3443_`I&FB?CiB>V~7<L-RX8h4Of4-<L{EJfrovU-pSi+0`B?0w}-2!qkWx@
z+|wBi>>V<Aul&md^e=YNvP;x4<3)qUX3)g1>ajn(ub2XTi{J48GbU~}Fx8Lo*F??A
z^rS#XGr0GWWb0qW#4%FdN5vpb{+{24J@{t^vx$rEF|=6N=D&a9#d=ND>-LfizHbiX
z#77_4Ni0lDYblkN(8R3_U0r{F3kct#mZ0~Jg-hu_3}dr2Ff8;o#X`{%T5oh6TBg88
zkH6LnpM*6~=}(r(-UdsU?z5E%<gsxHF+kUr-wTet2w#%y#n1V#<^L`^v+;2A>rJ2c
z^Yh=aUf=th6%<f?Tu1EK_~OD;nB5^3{w=CCkq+X4w6&czfyv){JhSVeH=oO6%~4u?
zJjmLfV|!qng<-`d`-4`fW9krj$1DXv;-h4FKc7d7&E0hd<<wAX&~sP13BV^y{ZB2%
zER?m<qZPfUW0$1q&RR!)K9?@i;?yzm<GXSxqhcBwsO8*0x&dGnHNl$4W#Uc`WxEDZ
zRs4NlEZNQ#z=3q=%)Kmil(YRJjC}tUDp)}+u?GmG*sb*B=l?qq$tOY;RO}d0alW7j
z&}lE}uDnJK9}IB+IyF+zjdc0$lq^8WY}van=?pw2GcXt-LgstakWG3Q4}Kc%P0sj0
z$1?hQ)AYkcl$0A242kAJRne`1HcdK;hP#J~Q3-hBPtC?uDi2<H+%H^oh=xi%_8Yn;
z<#5@-W5aVrRuH~=!M#3F6_2(zJR15Ti>jJ*=U6i<_%e9vN;X#o<HnaYnrh18k$SGe
zz#~h@6N(7v{i=j*)vM-hPRrn35ngVRoh9_wyFXB<QN(^mo0u#`1`Wh=R`fl!0P_|5
zlMZK5(ehYIm|&VTF5NSbJz;MF!w!+{XU-`gvwW3jFG%CC@R!$BPtBq1Li^q1s}vLx
zzEhu}BaNMI%BqBw=D<n)$uVjmV|3a&(ZmhX$mGSEmNc4yY(GWirvMpO+J;3%-jl}t
zAs>U;{PWDnd}uMhfrLkrHAVyIGU({bzP0em6vST}N*F#S;??Oy-B&R(xTW9cMeZh3
z*u2Dke2)VW)y03dt@tj3$w$iv;)YG2tXuk}<tGB(Kj_xGJzN&|z4N#{7it2^c|6~h
z83bhOl61%fIUKx9iP^;Wd7}ez|HQlr_-*W^e>$I=sy5<Lzp{;i9{#j=i5&qOdehn+
zBl-R4w#-hJr7>iD%W$kVC!l}fqIKP?2zXX(w!^632+BJ<zm}{d;2l?-7UuVbv@T!$
zm{`7l{!KCt^(A1mn4>@wiG)-Bf>cjEBk1t(+j;FW0oP0wWN=7iT$>#+sW!-k8q!&t
zx5Iqiyh-Ziu_!p^H$t?}<U;E3Hj_3RB1%o~jL==FfCmJhsOx(2eg2@JuvHlmogY8T
zUwVX!1d&&7T~)bo`_Qpx!^R|Bf5%k%bG0J6oz9ywnJ@$>#;$WON!Tlu)Ob@`86RJP
ze80zrV0<s<fkYS?yEuypq9H2SP*Eclb=?rkJY*M0h7_#-e7q=eR2Ah)Pqq?H8N!#w
zO+p8R6i}yY+C#sbhOLE1ll!6!A-3-Nef&Qc5~Yso$I$UqR#;3zgdqrcG*B`+sJJ`%
z(W+2qzDHlu&~J}51jD?AlHFa3sBmDYe1xHfv-iAg!ZQuw=-k?O-eXGW@vv=BeO?V!
zPu6#v)*8alaxlCkse<yg$13*oy*RDD<J43BdsQ6>ReffmiUt+rJNb9`ez&{u{u6C3
zeAO`)F0`QG)1ZR~?BiK@l*|0^IGhVE3A#P30U9#AZu+hFWaIi<U$<&>bD=h+Y-wRU
z9h<I{;w}aU%YY)GV`l{W*nxK&^%=PEy+`>@KL-!K-=F*BkrC+ky^`<gW1#Wm?vG-L
z8rZY!KaET$W8ex$OHK3hzi36w>LoNy%(^hA@omHyss*=8jOeIi-8G$9sVq&*7ufE4
zGsOe~G~yE6Th&pfi{+8}TNAlC`h^NMrjT89`c}R#6I<6xR@xbA;jz+;bsPaRP;34c
zN&m@2xm@`aTL&#%?GR9@*I)(_PIpJA5A%J#D1B?-axI*F<|{xtZ4Np?j&9DQEX)=!
zoH{q9i9@Tsp00PZfT)&q*^~TyP9-f9Z#brjFICo#FIBLF>eZk8mL;+A=_wEM1H=3t
zu{yZi>5V1$yB<8uu4Ut}*~GR4ng*7H{`8Vgu!8bmkoBUSjb0y8eUBP&Fw9R-@q{K1
z4E;YEing&)mgtaXq|U~H))czk10Hl-$+Yw?WuwUkqHf(UCh9HH+F(QlDBSKWLJDJ}
z&2@$UD3$8?XoG3E&l&(<;rzyb{QFA=y5F_<siDKwk<`EY0p^AdRpeLkdxWai;d4X=
zx(YsAD2)dYxlOg#Heun5kd5U2dK%88&h}kA2eAHp_Z&TkiHCj2JdJ4;tZI@eW1Z#m
zqDgr^W<ebXQq~Y+jwqpiLP@t`EC4&|dTsb>b(D;W3#;Z(@ey74QE(u@GB^4*?<6(6
z<rmnMCQL!sPu@x{{O1gXv=>QD4E(z-$2goqLd7$T<5P41LW@q8mJkCiqE6Ts>?B}m
zK5>=OM;_>UNZ;U@(Q&Xqcs}@}9FmHcRx}*qfxyM9QVAh69G(19kihrzCsaWWQ;@$m
z&(@|9A63+GjiEXu%V2=nvjz89E9lZ_x@r1N89SR}61hIo__*F8-b}~}zF$meNlaEk
z>vM;@kIF8^_irw335m3X<qxJP<yMMVFZ1`DHdzYG`vj8q{jh*qy7$z~Vk#0fpVZ~-
zm&A16=p$PKEP!<;UisS~1z#49wQrY~#8ts2n_<u#c6M-iZ9Qb1vj5q(Y+eGttZlwF
z?P(5s%(G9~jge4b;>x%`O%mgqluoI&o52=Er`~)538i&URLDk2Vq9?gi2!Fa$VzuG
zT<l52-@db>0}@hbeZ@d^<qK12`SH?@SwTQ8$GkTi8>O)CbF%~8$rPmQj)mUV<>&9G
zl65u3OHsdBW{Jlu6R@10u&36^qqy>m<zh9`IC}e!w>jVQm%kNW(z{0<TQ9ZP&mQ7)
zWN6<E^^-9~Rkz$)$Km&=PQ@utx-4o%OWv{yH3pycnzY`3ayX~A-r`E1EGmwQ?V1!b
zhBZF7Tly#DP|jJe|3JPRde#Xn4bCxwL5A|PrfE6MpKS8IA1jZ|e>>7C)<&@MKW+k9
zLLQ$zeKQ>qM8Js`ce9oabAhtsNT{o+JpSEHIPr5I5v?}d{kilE7p_XS8BqDW+0-Sp
zJtT^RREZG-BJjQaOX|2nyF3yFd@7wTlhJ6|<)MOEL&zQZcUsnpfS<0plRmzr;JO5x
zPgZ4ypi{6xthI)KhBDUmr{$=)b!C6#`Xh$0(<3iedo2;yJ(RLa@m0itYY#UE*c(C?
z(~~DPL&Q*fj-S*kB|I2;z*|kp5Debep7tmvp=4kx;rAL9{3L0jsWNW>-3MP=Plb~)
zYI<k0U=QC%Bo{=M4jDie<EzxYO%#-nTKf{KY3N+YD7@Qc0B5-$9Q>UW@M0Hf#^5|1
zBVsE0y51N-$r197CoWVhJ;0^N9%SIgASoZ$K?C^YN$Pa+SHxFGH7~F5P(%9-Q?~{A
zzpIz<ZgA6iCEWSvOr9Ix4?hlO4<g+VOn-ECEoxCl=NJ3559%^;Pxrdr{vL*K>GY7h
zEJ+nbr)qkfl~{Nyt5mKz%Mj8wd5<45qT$a~himDg{2UrP?tK26A-vr>@~3%(h8gE2
z^e#`bF<q)J)0NLzi$Cv+8!pqar_w%q{5juy<3yf&z2ZVw_PWdc?hNdsuZ5~h8dy(d
zQD1E`g85%JzB$OMp;PsZQe#g|e86yc;yPmlU#vDA9d1^`ni{n__@{{(!jXpheBUtp
z)FJ0|OdXA^x$TD%w2+gMV63~z1Xik!%{1vV(O0=s>d03uyy-jW8cjEa#-HxV0X<Co
zF(jR-woDuIhL0Vu`fdsWrW2Jip)6GRPUiGlYvZnvL*IH@%=larw22mE;~LeO?eAII
z7%H(*&GxoAoY!_=86Lq#2ZiQ8m%Fu4YjTTIZ=wZ6_-{@gf6vC7?qB!+b=Sft8`{el
zyZQcKAGlsfn}aHJ!OvOOHE~zHu0?>66*T$%7IWRo!H1*qAHLLTU|=sNSA5P2*0*o<
zTXc|vSJZ^5+#(Jd|66Bv@fHu{LVDdl`f~7y#3QFehuG-WW|Ez%1`v7D^Vjhe93<pT
zdQ#~u{&z`_c<c>evqW#F%^x-vM3nfZ-dD#^MJ-M3ivWUGOTry9+1MWT=F6~!8qWRt
z6RTVc&?loioyhNX<5_>E8AwOs;H4(-c7T}g)dr~vEZni?tn|c68k(OiuwB^;aNT_E
zo%ntxw%>@hVpl37u~lF?xD#OADm{bG3?@F$a_fl_RzzBUjMdkA0I(Q%9OkKxejP4*
zW8x^-JiRe*{sw^A^m9=OKKI894n_R3AmMZ6S9b)X08a0tN$kGOK;qYV!n8gCuW|}<
zj_`YmLHK(I<u*DFl@IP6^^wEC9}S7!1OPQDOV{H+Xn2<z@=m8u1{?c+)Ck?-!3UWZ
z|70Z^symqGoTo{n@U@!tp;|l`m6C7CO;f?lx}9^K0{ooR+IDr_H7iI^%?p|rQpWMT
zuK}0WOW?%!y1uh=R`8>L&Y&<>5nG&|G+Bs?qloL;?_Z8uf`iG?$Z%yUCa+#@8ATUE
zL3e>i&nGOP!L9aJOe+NwcH3-GP8P-8$|fJSZL)y0&(ihUS!6t=E&oM-r6@`T+csW$
zW)2%4Wnb}$C1Im{u1bKdD1JJ%-+r}`IXFj(ealK9V(o4-XX|KDd@5i4QsSl=_(g4T
z=+7r$`0R;ogh^2pHM>XMMKyyPIT>Z+L-IK4og%N3EQVGYaWfCjn1bQ!r7`O)<gsoz
zSMr&sIGPT-C<Tg}!u<hemv6Bg+8WJWUF0Nzr<Ep6>*GzJWV+QS+)NIs!-dP=c}wB}
znuNRn-~Si)=s&4`FN^a*!DP}^DU6Uh{m(1e7{*=-_HE~Lckprf5$4=d{7}nlV^WM^
zkLKWxD+gs!XI8K5teFgQyeoOf^Nb)`=-jCX+hnn9k@lvyBC<H^XChu{Y6Kx`qYXuO
z%Hqwv`N!vnWU=__Lc`+MTu>%Dp7<Iji!X})+%kGChaES>Pu|(jg`pBpzpuHn=p`oO
zKHDmfmJ^Q0mdJBKZmzuf%7`qEAHR9Hp`XvgTaA0R)EEL!WM$87OF1-*xPkDGi1`I;
ze#-|Mg2e%O$AO!2=qT=UjI^AL`cdD!(iw(OGkT+j$dbn*G0&0d!xS`e*qpy@zyKmV
zYRHzA@)-N}l|{%a1ysHp`R8k{0U*ag#eEwAZ?-;t#o{SqSWBefhhPI()vh}lKp|pY
z-(}svM@k4{&hNTb8^ECV8<&(}B6615FW<jW1%(1d#7=7&z+a0ztF}fG$|zs|AR@%?
z3+Ia~o{|jU<wD&NZXFqQ|3&Q{{y@Wc)}A~sDFg7dt2VgTM8O@sr*Cd}PDkUUHpMkE
z25{K@SeNRk0v>lr*^pGrK&vx`tw(4E@XB9u8JntzAypZafC@GAn;G}|Ze;+?rykau
zZ&$*kl#IPz73z3PAV;=7&;SOM5~EI(E2GWZHA;ciOk`E*vnC4-zylxEcc`eMYRf+3
zS!ChG?6}V0IRlvTvnaG)Lqn|_@jp8o*!cV5F=eAIh9JJSW5WX}Iy#)!F|vHj!JY?^
zev@s65b|_sZ%8K{v%j}B-mlQWg8JLvD144^u3Tr=XEU&Y>+Qq5tcflvk68Ub_<Si<
z$VlI-hQj|Di@n>ch1#ll9l!ZraX&h{;gqR5>QB!;C|A?QSH{Dk*LEAj#XFG>Zv>gR
z#9qV3wo)5^n(Jf)n3%xFhx>oHJ!WG1L;+2Pse|qgBWmVUQ`j=<7n>f=!q<vD2c~xE
zVCkLfW%{CK(D&%p&^I+UHemg@?|vQpdUd?=_Fpq#{%0AQRn127&9&+z8y)=kGAeD|
zZ$2*;afDhdIk<JGKuDoa8_6dmcd3830N%GYy|FwFa$lq@J#4CtkF@1A>V_@BE{#Jd
z`_94f_|x%TTeQ&GOAz8-T0!agvzLPD8d#;$qOr|E6VLr~9G$+w1HbtBE~c&qa))LE
z3>Il%(4JY>;N<`}E#qEarD)(DA1Bv}R5rdnr?32n@8=(FG$d{gaIolUVeJlK7V3Fw
zX>V)<P__5GJAZ<MS%j#mDlc_(Vy8N9n+Fiutfc2E#ldD$Uwcg%1Fu}6=KQC;0{#a8
z0RR6Kmv=nX?-#&ruD$oTu6fPtUV9#wP^eI$kQ5q1yJQt*WF#Zf5EYdoD*2MnA)};{
zQg%fpGbLsF`ThI+amMR8=XpPGa<cVCyQ3PoMy%CThg%t6t5O%=>)Ap_yO$cdNgaEs
zr%ukcDB`8_KN!>cw!ku_F4?}MhB+K>1s)X3;eY3k{QjkE3oo=fyf3M$p`UglOHqw9
zX1!_(w&AjcTNPFAf2>qdlud~qEGUWTk!~$<0|2Dj$QN$wRdD6;yKQ{MVklVUJ9oMi
zpo_InXTh6-Z9Qpr8<Iq@=r~o4?I1vk)8V19UCNly(jTuBB7~&R{N)uifcL@$1=R=1
z=*H5VnCr=p57QszIJ~z3-W$bxNCHYY*g$%}_caN3D#e%Wx3Pg!f3InMS)+j7Yd(5}
zws2!^+4LQ_X${KrziJ$^<S<#miZN=!g$=)E^P9M>;a8VmY4(B)c5IrU28(kd<<*i}
z$!;sSVO;WOU9>d*^`jPex^dvC#KC0d3rmO|-@H*?Q3~f{TQ24dv14A!p5ziOOBnYP
zj1=vYK=t1`KK00snNDL^k!k_=gJ@wlo`_@jyNC-1KCxr4eavOjv^i{eX{69mDTa>S
z<OW|84$Px&+p53K912`ipIE&T#UIkI8A0_NxNDT&l-O(ryJ_;ROb$`pW9#Ujd5jYq
zB8m%k8JU68{@!L@FA=Pr^4i3^nG1FI7QbOFF$L2fYkppB5ymre4H@&Bxlw#$l4q8p
zDUd4@lK;60Bb_@%E%6u+QdF(?t<5um-O7Gck#QlkzO?RdWfckQ=3-0NNt?h!{%FnI
zKq34S!THcmf)AHJvc184V_06YD#{WRLVCNK=bdzZ{CR`X)Tv?&%y3R$_$G*>za0Mi
zr7noA+#R`(%Z(sT)$Sqp4?!$C=$3f1R|q>3YWT95M!+Ar$>_X<5VD8lG;IGUj3iS&
z>D%3gz?EBAQ@c6`ErUc<Yr6>celFQTKWYf`Kc5{gTdlKS;#%}zk0`d?<tRQOZ3uA%
zz3hSOgt7CJWNhYNF_iaiFz-MH^uPX(drO5d8m&Am>{FG%J5yUz^1~Rg#(piEw4Ml(
zH~gZt1W97c$HjW48Ut>7d{|%kR0Kzk*k<}XmBKqGzwWRfq{C31f~(UGQQW(G3r{{(
z2IYz$ap)D(Vc<sOK0X;S9QpI??(R}qy!EYwqu?+d3_?y@z&9~$8C`OTcaX>5miCex
zoawOiw<LtoERJvVlQIv@DqzTuefK$a=n$$j6~m~Nz)Zbw6Z;#K(DPoD;7utyuvTtg
zNobKomn`QI<qk3i*=E(N3DF@D_*Q~`Na3;Wz`26g%BX8HwC1819U>bO@BUDfK?!9y
z37!uW^p8$YR#d0Mi_WflvwLN+^tB<yVORwfGngNKJJR7KKgDcKn;bd|rYE(ts9{2X
zR*qK$9nJ?|zpu?yKtrd5xKy$_PI@RO<kiuk+`4$I@TDS-7z@bN*=gW`R=(^x2?lJF
zfae(uGRnz*JuniaiC3?B4;P<e!1vzza7U6dcD|Pge|d(AV|sFFci9X<K&hcP`I|Cs
zYE*Ano3Dk#L$s`yd4}-Ie^frbnSv}O;l#n~+IV1@oORIA2=*<=C(GPX!E5a`JCieX
zP<(T5Vj7<@I6jZ@Ii9MDjr9}t)Lpu``~Jm%&~L_Y<?OV=sr_mgFyB9WSVRwV)!e^d
zduIZzE(1rh9Mn;POXS4f3_U!-IdJgpJ5#v!BPjchxCRE7I7_?q>ESN6AZG2L87#v6
zyglzUaNg;_wBnc^wrQvM$}gJ3`a@o=4$+!O{_Aqr{K;yZxu$>`SxX=V*=JS=Q!!JG
zS<!2whsmFN4KA2k!6A2<YS*(=<Tl8ll*H=d)(JLe_6^pslM+&;+Dpa$?-TmskveFW
zuIZ)YX#+JyypPBEw9sOveLB-v8`mp~+*MTrkdF2bw3O7s_IrEVQ>v&)<}{fX%2<6@
z1NPqiZ<dM!QTv{=kTmgURaI=|IKbl}{%osCDms*x-<~yAN3WZcQG&*{z)Vbv>vW)E
zHb0S8yIvJ#SgvmTvd<P?CVGBsc%+G&de5Ku?MuOXo1OKlQ*EKGOP$4&T@!O7xh~Wl
zAR}k!-xDMGwjg*>Z)+n%15G%e2`+0Z;F?|8{~f+)3#R8jDGxfU<K3o-JE6B_@I{X9
zfss?TP+!OM-{?j)eE2a&Vc$MUjLni<XX?8e$LrZab0<~g*!s=sTcjAuoLjL-(zb=m
z8u?P<CMp=3b6(c<t1xP4?r{|V2~b}yDH%qg;3RNX2{{SiABXFrtakuz?&;t8R!|uW
zUR1a<j*{?8=&_~segKx5+BHTjWTcF27Jli>h3#t3I-3LlKJituFH9?-W3yvp&r^0R
z3gJuZJ7fcNe~(+;OL7?WMyQCLV8sxbGhE8gt)Y6R!N->(i}h(~%yM8swFuXqP+4nG
z{rSzaZkIHEQJ3Q6-MvhBPtk4nhgd;}$NB?|)%|t9)JxHlSRzgY4NvVPETQ@hkD-{e
z1SU}n_@C`xBwA8V@;HlIf}#Id$=@k4%xPPjwb^@-NRvp})3eV4wBJd#^ga<q`M%gL
z^M*x2Of3BB#b$F@k{#uBC=@|92^RO}>?LAMqI%$qsySHm3)%RT3ZsJ0<O`d|W#VSp
zbMeKqW>9m<c#yMH2(#Lwgm;ixP*GHHQGCJ__RnY4ezy=r@xJ-=cotTySGkhv>S+r4
zQv2`<rvM%{nIz>ev*M(A`0~>x6ZjDsAnM1(k3lt6`=3j(BY&!O_6buHh<$q}JkWv<
zzwB+ft-6i_<-2S1GRllWW(B8(3whD|{(+t=S)8aRn0ir4+Zetzypx$Q;l-Yt&5!#2
za-ruus4Lwy0v;2;m-X``<hnu5);_?4KPW8Q34J4IYu&wg=?4kLyh9oO9K85nw+~so
z+7R9gHb%W(Az}Nl66^B^d`N!IV{YTPdQMA^Ua{uIb9+mgB~J<<^YgK+Jv|H%3+SVg
zZ}MU-uAzAb2;sCb>#oLw45-P{sybl6hkFFu1128|WBgLop=4nOa4i_>#|`nJ_2c8d
za;+lhNli>=eMpA`?@x&6*YIP4VQqxSZ&5te&mj}(O9xx#+g}%-2w)etf<5SoqY97f
zv#kPjSlQz)tlB4t{(?FC$gvWbGW;+`u+aeI&*+X@hzX<I*;sS!5lN(a@Mp`OHh@pN
zThdJ0gz;#!uXp=iX?$y)(l6;`04Wmt_9f?uAZG~p?BSBdxB?z>g`@$zEBYAIc2X3}
zOufRip2}ew>y-l!Cutzo_))6xkQffUmkt*?uYiB2TTZjSr2+kImHxw1;<&&3#>2)K
zC46D$bMI0e4L07hQYgM9fo`zHe@!zPg>LI66g;89lxnG}(2yiDBWq-MdzEo**!E%%
zq=BjB=G*`iX`E$ADZ9T!!H}P)48%Xuz~bnv(nygE%D;#zu+~*YM$W}c+m~tJ^_Tvt
zSW^z?@^*5Y?pDJwUYYrqCI+zB5%^?nlRVBRbg71xs^dCoGbxrc25{2w5g+FXMeK{7
z*B||>ftO8V9EyhxU`pV!hqW>p#}%*Wx7ktgkhZv@{|-7FJJ@>sjnFDzx~`wsOVh#?
z@d)vo({v~rX^E`oqF~k*r;Wnx+898~*>e9H1G0mhzfm|;ko4N}<vKQ9WXZU6$tB1T
zu3XdbJHn}o`?s+L=E>`!O{~DFr>i^)pJOnubF1M1hva;<gg(}5+1j48Glr4mliwz}
z)KPdScd2wpA1TG{KX|=Nz|AkopJ!#2JIb@$1*~a!%NXGGX;Y9s{;P&-OasjnLnXrZ
z((r=3i_T}l41@_Y;nXHg^qoGkwEZ9rU!S#mz|Ly{t|NtR(}`4+XH;uRxzq4W_u8d<
zTP=Yt*l<2pUkj7S(x#%^G)yGs57F;fLH*m->yIk6P*UUOnL)BXx`}Nv6Q8mM2Nz?Z
zd|_>rj8%AlYCspu7Ba6q6#;m6D*b~DQyX{gu(L38)xk*O_rjMe08N{?njF_?qa9qo
zV|`2uqvOtbr%Ky`OzT79mb5l5$bGqEwO11vAybru=v9yC++OEgtA(70wr}3Q${mjB
zk(tx4R(&D#82yKV7TUIl*Y225!4JH7=j=I{aPodN>0u-l(`p92>I;;y_hr_fVhR)f
z@R47bU)RLsqChFh21UHC!MP@l%7lB_g?yqnHIS!)HAUluEV@)T@2Zq#0{62Kv(stn
zxPBye{BD#aKGf9xeR$Ru3`ExIXzx-(y&igx>1R=-#B=S+Y_bI}zpI7!bW}0tXk$L#
z79l)$ICfwr-WJS_rDOdkDfnY!#nJIb5>~BG;X7t#3!}Yl3X)~Y`24hW@-iPMT1}Uo
zsrv>{_Q5x3`p_yDBi_C}LSe<zQ&ROBDFEjx$YJHD711YEOpEK!0>LZ2==n$wz%2Cl
z&wEDl=oM?W_c7}~!ZTl~P5!D4RD=|N4qx48U9pDWUmT{14dxZjT>aJ{&X*A&GAD%<
zQD=_c%AX>fZv+|Y$Xf%e6m8r?SQ0M>uOFzZm>{nB_WTp{wF2Rxq`FR5aSVO5Lr3Vz
z7;z~~VNXMWC2S28>#(R0#m!Z3+*G*62;ogHV>o_TfIQ=o><%jt{QPh>x^(9l!7j+2
z>Bg{th+Uj49Q{JLweC`A;I(n$-Br6oGpEhrZ%@mimP7%xQtwU~OrIp!Vh*~<d^7`#
z(i?3P5q#LLtz43tG(}YVl_$N{H-i(mkE|OlBjEyfw$nGR-$cZ|_li=frtoh&+oNd}
z9^CNxbhq!LX+k<~?#|ex2{20KKj^&U!V8XRe@Lk_gzcEocbm;7@V;BTy|J1TJ@RA+
zHzxiguD))p=R{*T<{02E{GJ2f6zY~=E}A2*_q1Hl*Efcjq8^o(6*(|qXUcZr{srQi
zU0M2rLZemwJ|45mVaJ@8?Nbhh%S828%kI;%MlgIo$xqsp9k;^rV}Z>q`1|FY`PCdl
zXf#3VVpeu6J@>uMvVav$oM??~Qid=p<LHc2Y&g)s>n^v%hJ2R1?ho@B5E(EToz2dU
z8^U)cAK%Y`i+-{SwW<tICWo3nT8*E`$~b*;niFI9a(PiJ=&-n$??6gt$1%~w_qiF|
z=vF#1B4SU6r_~91otzw4NEBR3UPr=hOFXWbJq9rN`s{e+We%+L3|n5S%!iY=obuis
zF#uOHe!pxFPLy<<`AU)zz@i?gXIte$&%9Q6jTRU3bN9*9jf7CfFq6lph6et1ehO8T
z)qJFDruS-vasC3|e;PqF(5zE847B9I;}&km3jc^;lk>33Q%M@=UrTyDdYpvar45ez
z?8WdPmmZSx_2JJu@r@6<c`>f(S_RjAahyBr*z;FHA8tIpad(G5KmOD5&pN@7#I8Uu
z!`;{Pz*;0Be?U+Wc}>0?Y5E|A@lruaPfYbdX#ag5t6?Er_Dy8;<;h@1nruVVkS>&j
ziqi&Wgfa7uX?l9J9Ij2h5^?^zF07+(DBLC_iY&q!H&32bz~FZEXJSWmp}Eky(AicD
zOLcZjk5wq)@sr-Qk^Z_MK^;i@lp>BBr`~?_W>ZG>INRvFAYJfM;V&_rmO$+tV_clp
z6fAM)KAMxP3wMtDJn}puh5MJ(3)NCoaA`0`n6+IOHfEN_^N7pfOC|1W{bQ;~o%c~_
zHrIpLgX-ze-^ilT-94@O+te{o>SQ<djUI$#OsSTX$m280tFoV68aQz)kh3a7AGEZE
z%G9nZqSNdt5pRDg3Y<7Jecp}+pE7%npYkN*Ls=7s#Do^g3+8?h=%GQQU3GABh%)|e
z3ivQ_Tn9Uzy<VG?W&ry)wj4`Hp`edP{YRliUF3Wu^n4<K4kO0hztkV8;G4Yu`d=aX
z_<qm(&g)(bnBT*{>^7u|TB}`Z`O}akn6ukH+z@z`=XXnqsiTBZ-{Go1G|V3IJ{54=
z2nv2%)n2vHz_U$p@s#}r7+-A2MPW06L&aX9nmaYIj;ZRT)?k3v(V^_~M@@m8o#8}2
zM#bUaqK5_J2H4gl?RSLD9MZnOFLyYsg=ZQs^yq#!z@y31zS37LKy6FuuW5H}WZcjD
z+j!dmbvv@kk62m3;-w8`NBDG*YIL4skD&n`_VAaC?XrgcOoxoqIXd{X^g(6a85-uQ
zZ|xT}0Qjgl=vFhKgUjodriMTt&u*&Sw(uRGPC4S6Hoq>C_f=~Yi0fj*M@vPcL|f<(
z96Vn;se^5t%|H2aweZIEnGcOZOrZIT)t}DNLDEQ34A&P8v~<bxo;$&W|Nd_8{<^G<
zam)oOl}8ONB)$GUXk@}@MN($6fi@~>y{#!zr(l?S7dhf56Y^%(XUfsFu>9+YUVDim
zQt#Ks99m$4hpTpMCpQ(fTK|bpI?JGuW>kp87!#7EFGTRvXyEaO!jIiN#WBQHc;-z#
z6EdYY%q4G9$Jb2HdnwO^@Y931_M$i@umlwRG3-}Gm!l4ss;0Q{uUp4%!jK79pUzwe
z^;N;y;kRuq)~x7Z7uBlMZ3`YdFXVUkDP!VBs|SJ`{}IQ2=UmS@Yzr&<EBK`Y$mo7o
zenKpKoH%;p1yzmL7UVVvNBVqIz!b3>Cpnou;%w<!YWQV<{8qmDSv5Jl;by$0!sH2Y
zj&+pllrF&8+4fJFDbg4{^(yE0rbe5$H($#UQ8w^ytsGB{f+Si`kaqt*(rF{V;I-^j
zWDSkt8`w<y#IX2M{Lz-uKAWGvhStcxvV!dn9n>u^MDW{lL7RJPKilx`FN)S&w1fq*
z8~qzvh49(yEzcvyKHIdNDe0J|S%SkK;lmle{P^|z7P;`VpKb0ZZk>Lz>P;M+EFK1H
zN!TO0aA&1rz{Y9i8B0v5IXGFRJpPi%g-2>!`1Tw0+Ngh#|EN7}26i%+>aIy~V8!ms
zxfl9A*l>0WpUto_14>gi$I?$$BpuRte(K*_8<{QL?~i4e!uoSntlRimkWFFtz5I|D
zHsRN-9u)pC0q>K0GZ?QIiJzmcVw$W^ZRiiauK!?f0u}sQB9G0?5xLfJa!JbhHtOE_
z`Q0~-;iI4T>`L4}!t1{xzJKgx#D%79=Z^6igUc8C#7Ni-(Z(+%G}75XWQB}ei#cKh
zP4%8dr1EKEs%t46UcDktO-0N!4H-hRzxb{>i{C`X%O6qa-QE+a@wa(Ywitrwx^X))
z|1Uzn)0>ucubbFM4)H$J#(>k6obwejQ$)qBuX_%x3=k1{MQj%x7;te&v%>%BB%#u{
zVouQ*Bn)`QHyvoC!=6KqVUO-k5MnoqTVvmTB_#M=qJFHQLvU2reZQG;!uZ$i0N(gv
zqHfy7@>{C`*gR2kuD&o%gxx%rlWIRoWOhZCxqBFZmdNgvu&8lDczIgYTV{e#a2nQC
z{6vFV*><kr@^NC&jLR>FV~U7X_cJjGrNOh5%a=+tCJ2f_+mqbX)jqtfj;6EFz_Rth
zclXZ|M3wu3SETkdAz3?j%ScBbwkTfwoX|B%h`fC141<4&mBbA5YrcBW?a+I(jC+bO
zr(X+HeEgS)uW3Bxnym{5#bQ$TH%t+;{af=g?#>bi4u#T9-|4{TH-&0HFaIK34%&|R
zw#*Yc7oL>(O6fo#YX?~@_cy`gs#TUJxI|==M!!AVp$*4Av29UV{l`4D4rhIGc7@P-
z%Kq|1g%$)H{5bY*<`0n?8@l{LmKCMj?elU;S|E39u+q-wFTvaR+^6n58(MTqHmwP!
z!g+7%t)<a_L|>`H`vOf4bX3mMdh}8g=6~e{FWi_T<itP4DShX}(Inx=+9sMXI>jVP
zQWpq?!X6f*SKL^9c_f?djs~#x&c7cnSt3G|7yjrDl2G(<wa{Hv4X}KT+>#3`gdnHN
z=shYwI(@w>QCX}G5#~iHiT12$$*~qIN(AwF$-vWAhB~z0&DByYWy4$bc7o0o!Z^20
zroQ!s8blZWxWY8yz+vb5UuO(N(O)H)TDw;bL`sh)Fh)3W-Cbu}!A>zO_o&<YMM@2X
zZpIiMZCb6bP_mN0Kms2aUA>AOsvx~X`}2o4Bn(^VdfJ#Rg_V(Mn`u{6;r;{p`+@xY
zSSFbkbEaAbKd|-=?K+_f%&CQ-@EAcney}DfQ&1jnsuP=8_Nqd4SY2;TjxeVG6b~Tf
zDq?#4mlTzQs<2IYMkifB6wgM_v2Q6QV>@&COl-C)bTaD16K{#3J@*eaFDeBm;tfBC
zbg9CLh%t|!J0-9%v$Oc|GZh>UuCkc6QG+^t*Og&MDfFPXD@LAFL*Ya><1cU3ph5mb
z!um}z=xV@vuVaG-mYqNK@O73tn0EN@N==r-$Mb3BkF2S9H;7s%b6x{<)>9$^#}qKh
z_%kWXUK_Xm>pR`PdcPr`KihAzAY-MZfWy~qx_BWv*ZkB*Eyy)~<9RS!8M!y@5G#w+
z$C0yVK7LczflbkIw_@2;u!}O7%>SB(C%!!i@%Pk&A<8+nA2F)vPN{mg)M<dyt{3{Q
z9;Si(bivF^k~(U!DU;k^(UCmxYkTjM0nFu420AWj;5&K2n<2LusIc#$j`wv2Oy2)F
zFsn_)jmvubHT(>*sW0LEop>Wa3+>;>A8O&`KM&t61BST9i?PQp#{~E;H#Bxrbr5sh
z*>1`k;k>bz%9~ea@GR2#m`<!NYCR`ic*AdmTxBIkUMX4v-{H8kiFfpn*b$qhdeacg
zRApta9JdBBhk}OZ`T9s!8dfELW?;c|+vN*80fL(?uAmAHZQORue|SnqrukO`=?Gi6
zJSiK0&W(n8TENw9Z-9oiN7q&!W`d7@>E68_G#q4{4T<2;$1ldi#cpfuKq@jNG+2X%
zH<q*C`HE;Gg{<MPIAsT~sweO5Tg^MXn9QTruZ{=E_JKQg*@N1Axyz9ZJv@55`;68_
z3XVsrKOMbc56s@Nh<j$bs4mfZ_d=IE9!+p{o2j%1dDW-yXRm3aXrhR*E~f;VHfK+#
z=h#Dm!g!2h2Neem2VHjb@L_89t;NS4_VCUpQDE;U4Lp$aY0HbZ%S1;~W80=_J7^Q3
zJ1%vqVFy2F-0e+6g#GP$xvf!lP`$Q@dG7ynsp8$CCI8808!v}|;2aa|&3{HrRVt(J
z%KI}H|C_PdRMp#lJ%kC~y54ep0ZLf%&q%V@o&`caT##k&w*{g3{&Jo(a+txKbH25K
z1E#vIgg&{h`Y-3vP{TecObBC$5=Pu`RE*2Fu^zy5tI%;;m^damhRMb2l0f)t(8o>Y
z0PB7827{R*DAOIb`R8t4xT;)NH4|<F8`s#>o0jooBV2FM73Txi;5Z566V?!SznE>v
zhZ`lTdR$aD^MSwNk;TYVD|jW_$l0C5hE7qscInQ1u)r!Ez5AXeaP)|qpWnVnj2T~1
zj1u7k6|;f7O<fj%(_E}4QvVR~uigm#t>J~jVNr}0SoKy8X6UHo7*Vx$cT~kTUf7|2
z=Z1odIUM+HTlGw)pP1|UH~eae1h<{c48t?cVEj;_QDE7B1Y3F-C8U%D=XF{s&4Z@U
zHnZqs($Q*jGD5-1C5!|dEOd!@GgHVEe7jvT{FBY{$<8iE7ZSYXY@SrTXaZBTy_tbs
z!!}lxa#4gM2?h^U?J`?12K5Iy&e0}6Z8%*bPtWWk!S)ZLML~haQ2pWUbi({^n++$}
z61;Dbz^(6a>aI>B@HKqBXM@yVn|gD$!_5M`(3|}1&%!z*Xzp3@!IfDXQl&EMqszST
z?`qmCN3$WYNQqfR;DU|H*~ze7oA}^f3vXqhgCSVeXLeHpmu>W`*Rm}b@q>VihK<N7
z_aodC=d2=GV2!iwp=(S52vn+7<o0BMW}H;CRRb$5#izukoD_u6$^)z(!*n1!1y9gO
z?BLDWuuW-D2sX;>8|9CpL&5Cb=6#zvVA-RrW2#0N)D;IFcuUj4^ppV`%Uw=5kS18}
zcufSle}4M3uX@!_J4qHV1h`@EkNI=_mqnp%L3<$H-vG`X7kzW|6c2RV(xkXmiowfi
znV7!<2EbE&wLFW&3&NdGdab^T!$-&IkE#tc*!X<x#)aE_FqC(&hu>Hd5_nhkB}UO;
zdsWnp7rO-Dmvzxuwi{CLyfCh)9B6Qz&73>NS_lTqE%kRA$bju(?XwR2H0TQKP5ymZ
z7<9gV)C&A03nyKuo0J;#K{biQ<i95ZW>5Y#E0)Q__YnJ-!5DqmEmKMscq<B@w;yJN
zT~`FfI6<xN9{QkkeEx6%uQ=Qu7AC^Ck)hF*<xxE7gRUSs!EdVsxF>tKHy%@l;)1a9
zU?+X3OjdiK+aL-5zTEk`=OzV$a|Jghhw8(G&bzS|rZfyV9{OB5qyo}B<T}&G`p_`a
z<~q<P1EE<a&8`M&FwesgbVh^*o-(!UjpyZ{KYV`4FGU?%-qi7j_|TyA=Rlylp91_3
z009606qk2A)&CdAt!wWsdyjiB*R|*S7)gXE^vx<wWTjFfGm<DN2@$eVDauIo`B+V4
zg@lk1l9j!Fe*d2T&N+{Bp06i+KINDAydqrd)Glv(O95n}#QM=(5>npo5B=n>422YD
zowqvb;9>Cix_yom42yG~zSOJ&2m1T#WSi7MM%lf+=CL&75%8rI9TMnTolyA{N`-gk
z3N*uSWI&Usu<J=G83gJ=Ck3rFp!0ypGtY0bFeaH+bahY_{?v;kPv~eu{_iWfN^^3s
z`+Onu4FUyZM6(MW&9vYY&w7q4y8^g>yJCLgDg}PnRdAj<qYclF7PWiGD8jK<w!&Ex
z6o}cqDnIyK2XtRMWVDl&;QJHZm1&|nIIQpaO2eTCaXb&FOO%x1tVhlEVGDH-X)FHW
zaakW`qFZ#2v#S7OG9jT-Lmkv=Q^tn>89-osW4>0q3WTe=jF4t2a4r3k;9!6e+-(@m
z4G1E_t=+%$>n~9t^lW@>;HWXgrdGQTP7oo1A-efdjv55HF=uSa0z4UUlh&b-z{qcm
zlrT#Mqvs)L{yjiW`jl<3DG83Ro2(j75h3p#&9NdU6JWffsIgCi1Wj$hwca_(aLJq1
zW3$BstU~#1Eb57H%sb4-Qb7?)+k@{<kW9huzw=XbR3hj$pQe?*DF-^MTE$g<rckRg
zDBKXB0<Y5<IPT9$LndpZr05+}c*Ekh^)pf#=4ZmkcpD_Z{<&5yPnIcMW@AZzb4CdS
zMeqDE8W92GPFA|ABvYvIQ_QQ-RfI$Xj=EM40jM$BYFjyN3N+qnYZ=q>z~dcA``(HN
z{y0|r(x;dL$_wT*N|6JSLsaO}Q8s|XZ7;Zgn?R`NyBQ93S+K!!ibu!<_?z49u$W>3
zBN9bPea+Hf5a{nr`Lm5~6$>$o>X^X8te+EE{!%cTr<Xe6vW#@E1YFzK3BaWBkfT&v
z0$%A<TyBn;MQ;m?#D4k$lySY_6n!iTy9{p`Z3T`Y58Lsj7X$z{V;_kkBmyzGfd-9u
zKT5e_<n61Ez`#6SrFvZup7oeIv8=YCLH4;LTi(X7yQ)}RYKR|L`NopOFE%0*r!b|A
zEF*XjBrNJY#|!aE=W9u$uTj};_ASdUL-5zEIa)*FfnVzH#u5*|Lb{9YnI*i25NOL{
za6_I8^gndZ$m&+1ko4-85(f>SqT+o-q&YiW@~y-NdU3QGl-B$?T_1#-oq5O0SYYc~
zfm#9aBkI00Q~YX758j4%*=3wz0{uS<qtB~b5nGJ;s}>zSh!!qb;_xMa67ig#mS`6m
zPjM7pNz?^R&B@EbrSy<MaQ<|VwGSPL#H2VTbl~hdg9ky44mbxBZv?9kp?tTh`(u_m
zurJ!Rc4LeN<Qf^C#9bXhU#m>A+@5MfI;w!;{B0EeLn5+dWgHQT!w=dBYJ-i<1@_y0
zn@DS!{PoM#DHN5oGLaIk1-YDI1Fha0$S9e|r$uE3`OCZV@hxh?5Z?g?y}j$`>Z0K>
zmUDBcSg04CduxJLK$yCF;2KgCFf*Y$vVd3*h&?_yq5=Pj5k}McR}pcMoA;>8A|iSp
zvYI}s0a`(Psf_WfNFcUhV)FDd3b`QN@BNDkj@4rQvHq*bDE2)4cETzu|D-ZrdzuQL
z9}&_j5?4{9@*Vo9kL&1Ha!mW=oH_`PEOku`uA-h-6!KS@E##D*COdpZ9r$+<wB%2%
zp^c|i`@8LE!1Lk1&qZA7aJ!RUR7i3i-3;ZPP|T%;<5<W&^G6gIUy`%tVctOZOt(s9
z+2|p@zqkoEq`=|Zk5}kqHc^t>>&_2}3=ms?q|U8O4NUe4-wX2HLfxqH@oq9BM5^8R
zX1kyYSEKoYuS{(tU6<C|4AV?dB$yJCYN!gi4)yoPTWFw8Zch18D+?6Ig<p$LB13_?
zjlW$zEifo%I&S@711AA~<CF;!ES6Y|9_plnQ^zbTmH0T}KxZkho-GMnci-xLOwRyE
zd+b8>jkv)r?5C#WTOy>ljnh&N5a7~d_Z*!B9>}ZqYUa=(0%6~1t3V?oP{;q$PcQPq
zsSr(x<u@uY&*ZoC*@YSMzcn&-g!9971C5j|I~CZt$GW;9!U}$D8I@;=g1}ju*&Q*b
z3>s<7QFrLrA>q2gkjuId#J<0>Dwd}VuWSxhl?rph#3=m-!FdtLDDu4b?xZrPi|fue
zsd0k>$2m!EUNPv<JG@b3tPJO*Z<KlX@_<6~Y<HNO1Z2|xn2aJT!+!DMBQ5WFL9_MY
zad96h@G33M@zhp^hw<d{4kLb`DY}~f<()Kmj(Hva?y3w-_(cVwP603us;6?Q$inW<
zexc1r%231j-by$@2v+`hJ<EO~2M(_MT>gA2@UY|K1mAHHXtj}Vj@+#PGR0IA*QYA5
zm;L<DArDdT1E#@-9d1t7FVUR8NQ8kmNeQ2?hy%#`N?5#527}@UvfUvh(2yfD9Ka=^
z$WB(}WGE2?_j+ZHz9s{<U@;KRBMs`8rfh0#$iVPr%a;kML7MelIVJ}gSW$KFX%tg~
zC+S0td9f4-5D3${lPwFUBSPE``R{P&)5ylDyXvrbTJ1m9WjWvrx)LL3rVh{g1Ov00
zsi06op4K|30O87|)o*F3AjvL~IijWsLH^+d&t52ki<O3mTP_tm{4+qUMhggZ68k?g
z@64&Oh_FXg0|w*HSlOP@f$)t&y>xpO5C}?`$neyFf+x4Wh8gL>h3Kdr`Dh}v>~pZ^
z@ZYJso#+u&Fn~KPHZSv1NU&dfmrtv%23QqTBxLO}g8Y+%ORE>j5UIEBS@fC;Svn;j
zM%WR&$)uM4r>qJxdoAdO=hcB(X}j#=1%RYTn@7tTsz8n3yv{X3flSL9J0?dHX#6)W
z*8E8ooL{lLDpXMe=6m5w61z;nI(n?q;+ZNm#`k{Il-tQ6s=zk*&J^wnA02PpqY8I#
z@Spc-SAvVS&hxs)X3#2V?m2Le3~hho_R~4b!%Mr|VYj<xpu-lPWR^#QD$;I;h)!v+
zJh1EQLcJM$!B4N83M9foKk+hwE;0B%6iAu)Vg}!{li~*0RDj#3pD)!%5Nwj9^I2Y)
z!N=?W-AN5of{b_CV)3`RAxnWN{p3Y6aC;}A&eg5}D_=C(M?N!x+qBhqxuO|d5K&xD
z=a+}Q7qdrO>erEnns0J>gDJFXYDd1elZCcB&$At$O(3@}-<-OGrob5)c5?EDG~nlY
zPl#jrNLD#>Pg0)=Tx|7<=`56l8qcmu<*^}*voibgjE4y%vz)oD?IZ>ed8N+OX%<`i
z*<L(41Tbl)yLm@d1T<NfU#mAQV#y5EO$EmRo|gOUFVhi(cty70fc#a=o`vmXZ~$IF
zp}z-$jBd8~&FA?*g3J4yxatO$uir&59WjR1zxVwZrnq4(g*RbO$tEVNx1RfT!w9;6
zXZd=maX?6GglWNlTNn*Pe?-2x5l~gv^<FPBLxF=rpoQ-i#{4=xsL#R>XpT@*e#sGF
zD9!yx7ta<}DJn;|=b`~Xf^wftB`u`CI+}UFXA`@iY`&cMLLcPRBKE)Cw~69k%AX!e
z-N5=`y~%uD4{GPQSl@kHMo(jd*Q-j_F&0|mTg!TSa3Vpa>i*h1x+vyT&-rEzW75C$
zN#mL>xICT8ICW?mEm+K`OnqC$lB*BaCHConL+K4KpUP1bhTVKIO}~o0wAL}n)7F6!
zFS~xLseZ%|-jlgvvx2qH45x^tYC}6?JoERNHZ+`qIW|@=W3MN(uRmGa;p3%g1vZ7Z
z=&=T|$<uln`*iwXH`j43xcE3HQnNY-+efzgl}%X2j@Z;ovbSpjd*)Btq05cfqQ0N%
z@yR7Dn1*iI&s-Da&v`lu2DM`biZOPpYfD%}cESLA&CZ>@(-Js+`8&qm(51FVcNr^r
znST`5(tse{lm1aFKQYO&3(|zVWh~0O;Gow_DwHi~3db}2!VF(=Hx3!BU~*?i4E|_S
z;e3~E=*^K)Ot<C7;k=!G%RH-k)!(WEt>^K7q~hP0bz|GC$@(hR^4VlUVUId!j*X3J
zyH8=Y*AG71kX^^j#@S|SIw|nk_i02S=U?oibb_r<_y+c#*a4#_C}3AE6X5ANi-oRv
zl-}Ul!fHMygZ82t?6>NRmu;NGv>n%}9bMa4t}$i3TwV<<*<BosH5affOO5wJe`xUP
z8A9c5H&s{}-1k%a<v;9Dz*X%;HagsHx7qXM3^MF5n=HSwcL`(Si7jujrpNi;5o?Bq
zNI;PtZ;x47#)^%DGsvY3xKZW%EhRM)=tR&DH#Dwdx7k_htaTajp$;hlx)>rXy!n~?
z?bSMVF!c+K<RlY5!FT>)`Jf6!X>XNWXx_x6XK0=OePF@6-!`4Pzgq>;Uno9nVWz>G
zq|UjY{l<p>s$bz&D&O&qt@2B_87)o{tgA^E<iw@<b|ud#D?{47^>&AJIy{}gMHt<~
zjmPt`1w4MN1mn-6wS%}A@Ix$%AA56o@JC;-ZK`Q2fhl8Ss&N4U_w4rkTPDGW`*9yn
zyV<M=L?d@c22UoO(<||U;5&X?z0gaM>#QOSjvdAJSg_#l2bR&7XhB>%r}3w@ydpgN
z;~IxKvElm%_sSQY6~>o-U-9YttpKFzf&_<q9QaW-VpDYDE_@;4cAy%j0FLu95zLI-
zctfUkv{<(oF74od{KI1f7`ATpx#P-%k2nTWmhB~R14BOBvS$iVDf4XBtBn^=2viRi
zp^?Uw{VmvIS`<Jclk;EJNq&6Kix%s`Kp8wL%$e;3ry^Vm7XpfeAl~gqe(-lw7Ei~w
zXe5IafmX4Nc4AcszuHcqq&$+xRTqrB<>{1QKLNZ<*F|tA(V{Bn<BIq=-kX|Qs|3=0
z`^WTT#c*-1+k3k7mGS7Rf?i6MGL-IZN)|gSfje~kd`^-h;s-l~#kHqZ;QMs3V_uLH
z{#fb?d-g6e9#?lKP5U$n-tXDt>w`<<mOa+aT7qi$%(bjbuPLf9Pj-?j5tqdcZuY)Z
zjiuoIeA#`23KW>j+H3jbnj9|X+`jlVSREheFh3pdsSdd01*61GdEEEARPH-xDlX)C
z=Y+}*mlp=&-T8wRaoMu@4hu02yu|0?rHzxC@SA_#<K|x_yj#irQRHh4{8NjlBb}-?
zj61CJeRNU5b^RX*cPVJ%GcoaJ{ls;F|9e84$SWe=yC?C#dPhxMs+4<CmaGq-xVqfR
zW=OcDRFmPnp(ZXMpSu6Ny&-If?N?`{QN@quga?LnYT#zx)4mp$jiE19_~fNtRh&R3
zQ>nrl_)Uh%qC@)tUS1z~sd-Kf7k)5GZeph5<;e^#V%8>5n)P0dw?PdLJrJ>a<p~9M
z>bMX8_rAcr9dl9jYPhn@Q{QEARXp+3&2QWDrtmKY-P-G~hToC5uAoM$;Qu5$WQ%W@
z!L1LrgX14m@yW9}UdhD@xb5o}vcRetNG72JkK4%jvSFcv5-x)a+|HX4(=i9trsw)L
zcSyKhO4+Pxk2sz?k@GUl(i|?22&7u?BI2#?b>r&~1o6cOEi|6$=I~WZZfwzC8GmT)
zYOG4&#uJ?5vWu3@K<&;L_k~<Vd^mBJ_lP?K&fJhk=Fc^Q7^6K)!|&vAIc1wVZ0E1g
zH26lw>zD!W$x{YlZL+xVc411@=2vXpY`!pfCs(k>q;$xPO5>&(Lz;HHztB?}%HTOe
zQz#2@30tR=!Y`7WUUQTGp{^@@zd0**eAa7T=J|0kJo!i6f9AV4P)GkveuJtBjK}S(
z3Yrtf?=1(&h>FlcwP4(~XfeQf8u6D?<pMb4QxeA)WqQCDInW0MfS%AmO51Z@yz#`x
zk*kpmkf_hf_Rt=|Pm%K7?>o70L;LoMG)n>~o9zT}4`ZNnwhVY%%Zh(fF<2ANB|zXS
zGpoD7M({<)N_I$|5tnNc+&fl60Ffpwy1M&@P!;v!lg0)up7zqz_1zT$5VLJI@*54n
zJN6KZc<2UZOSk^_w<=+0Pby&*Yx<D!IyS@e!y+bcKi^#1!~oX{{Cb>q^}%IBaH;S1
z45s(MHEi`b17tJGuKWqpg9sTC=ZB#YY~{?KBR#YXaEP{bc<{3>Ji7XYJMcvp7FVJc
z#!*5KB_qrmB@((&^i&`5KCQqW*c)4fp4^!Ocb7-kMV%dHJnvYSsz<%n^_xk$^q^b+
z{@6;7Hax$2kirDrC>4vhxgkdnYuA0YtBtimY@D7l)G~xlGNc{<Nur0u$Dw&`#af{C
z;CUx^z&KiHUK2fdfF87H_x955(t<N*Kesn!{y`DmQstKS>48i9z?9fcO|V)U{h?Md
zi%NA1a=NzZ!K-cQ(JHehtZ*c4Nbcl{O+ALbg*XPF>+$pmjnjZpJwD1VxkXf4`mr{V
zN&sFqJ=0`X4WN&j6h=nN$ZIO0K8uDC=<Rh{Nw=xsDsl1<z3nP`m6Kh778v268M)e8
zf(maIdwBM^ucO1ea^+vKF~c8go4NUC>hN4I?y~RsO?0*MSzL%U3v{{9vQx~};S&qT
zzo7JOwAh=RxA!G0C<&GhiVRS|w9Q+DVUh+Go+Uh#vSf#IKPFGMg;JpXpTa|1emWpV
z)93DH;e<<id#0nLDDX6=IvCl}Lrl%$3ClGua9x`c{d!vs^wM3w%spU$2>+2@8ZI6v
zQ2nuxIHL+I^1?%5^o-DNpQQTHfEQfj7Bv=}Rl(I;_WgDg6EIrZ-ci2F2T^gKM7o-G
zcpV>|o+-%!MJ`GiGk^F2yBN!@Z%2kF58ZTQ`&fbN`sCM@bAn)EdjmNRl3*pUVPNA8
zJ6xaP%pyw)L(bln(R-03IHY^o*S3KZl<FG-&Q6QKluYS`mzpGCJ9o-%B7__AgwBfG
z9TJ6)%jpM;)`_rW!BHRhm<Pi5ZrEyWii6`lG}q8W1TA!{;`BT(Y>5ple3g=dx-&YX
zRV_s5`CAft`XE1~?CqE7ah3+w7X$8TgG3l3zf_!S69Cc(JpPm?1Lyx9S@^|60uNNt
z?|eoGrlvJ(Ef{wEOzrFW8z)JSdg7GS3po+ERNhhMbWt8EHy`|)8zzBFHn-NR^<8jJ
zUhakNmI62lN*(=?K!&nkD-#dq#K17hXG$$a3GQbyRUA913IW2Nq)mb(WJk2fT4|`j
zf99tfdV<v;_soF8`wS^azTkR6_B#>W_SNUsds5)S{Rb9nwbEcqtYm)@Mh4A2sqH!{
z>hP9f+49qZ3`F+n2`>w&LDboK+@GHc-y_=?GF9bZrN85Ck}U;PBXmA2$!Nekjqf%q
ze)6FIpr&1lMjhz9N>80}(gZ$v{_m%sE5MN98w1b#>d;2?YgBrs1>($c;r`Q#JHAS-
zcjKi(kBjGEpP~+oA2$3HC#eivufDDJdQ#!A?hg)qOcy>s>m&eD0XcQ<q{%2M<Pf^5
zpZn?qwVmUNpE(iUCcEgQ`B0%s?RC|EDu$pGKw^tkAc1qMkkd;cD!618hKNrZf#~wL
zlPvut;LE!-m>ILf<G&6;iVqRQ3F&eO9U;SQhxyErG79*cX2u=N2B5hTaF({14Du2Y
z!Cp3MkX5l>H{)Ug4`$O@hs((D{i^xxyI)DrnHa&By}jd87s?lTFOxywONamqoeJzF
zk9t~OH3jb}9`8_EGAsyvYoOm&fZe6XbI(qgLIGPvW|1Wc%1&k)t_;fpfrI{byowq0
z#*B>LcO-&UOIR4;vlP6RdXh70X$CiZHKe@MR6uQ$Hp((X6rP4tlkZ!YL7G`i<Ldz>
z5TrdI_KqM37<JDk?~Xqn)BpTO!dDSkTg~4j&T|82lM5yHuPNwj+>Qtsk%xz&ft@9j
z%y97V-Tti{Q#d4^xOca$9E_encKth<7VwSzX+L(GLhA3kNg?Gj5F*BSo6dC+)iZ_j
zrwo`ttpAyhzeJ@Wd%jirT;M2bkX2$>@Hc_Fq#KX5#U!C=?yT=4LLIU*3d)e#1jvh^
znhZ;bLB;Q`bFs2**wf5P<LqkyrXF*g!+S)4I>3Hq(|Q<7$*WGX<Od+A_n7_56a=o=
zrl5HB39OrswS3YPfrI^h$y#ZCaJsL3TpXXqoK+o<3ws*FE3NW5r5+w|Wjgo7T5A?-
zJZ!zB6K4dr^tT3;BDuhpegBaAms!l_gFlRv8G`@G+=tOG*??)7PYJcmVs|H=H69+_
z@yc5FeS&+KL9csQO!(L==A(9?>%N2m+zfdiWT{Dj%R}b27wu=TXqSNOV0V3Rh|_S$
zx<CiEEU^Ny0n->)bPaF$BRvp1ymy(4nFcJfMtOp*r?4Z9$_?AIx^QCIgP7g0j<}l#
zPrjp_!0ryr^l+Hz!jW)+%d}g|h&k{BeQ3!TCcAW-a5G&8ddqw_8%qBnFLAExm4`<#
ze)6!N-m*4SZ*>3aYo0@k{(tN)i49{s{UZXO4rxQHXCdYF{lCbP%Jn9E;U^aREyk7x
z(}L?P+%07DN%Z+>$mRUmA6Q5KrL00_El|;U;dvl#3?=cdmrZE*V2X3cEE3Z+0b<@K
z^4tGHeqMgP^B+601*po2VbcW8=Oiu0<Utg3eC}abK^vCHd?4gRlm-mCiI%<z=tIf3
z1Pk}3H)91F3P;&Csc^aiOK%A3L5RM%m;UTW%<6ECfa7H<Y<$n}%I5oqM!hOM4}Gr3
zSopPR<Tlko>f`8KtU){a`*bqGkAh)od>pkdQR+a?{eUr`>?<0Ozsb{{U5V*_WosW|
zRR`^5?<b+vUl1u@?Dy8^=NQ-4&MQi#fJjPV-T8ozh`~VBI9)Rz8=$!FzaUQm%K@u<
zZdfDwuKh4%v^NE-ds@i%)K3jw6JKG;$@OS3)6wYVgcXXgy<4<DO%=L&H@DAxt3@?G
zeTe?FcaVn1^xvl+$Pgv*x_9<6j_%a1X@{=nq6_0f>zNxQXrXM%|DAn@u3R{K-S2V<
z67y~~S=J^&Xb7EUSHxRnq@A9*(D?!>e@?x8?*b91!abXUsc(>g&F^*Pj#o%8!6)gz
z8Wm75sJwVw<_!Y6mo~;9s}Y&WFLW0{1%wnQpYPrE25n^hJnU8f7DcgHIaM7{27En?
z>D#$C=)r$~q{}97WNcGR;Vs<pL<2ujd*WNPwD!%^n!X+t6$y$lZ!5y5VzYi`y>}>D
z)M-3ds}aps&PZH#Q3StVHx~smFcdj)J>ys02PEXCsBZH{0bFf(?Zt|4<Z`0r`ytxT
z$ns&0-ce}<5TfEzu1{*w_QlAtYsF1yx~h*O<GMVo6^c#E|ENQ)$L@OBUHghk>H7kI
zF3UmRb#^*}b^|(H5O8V3p$*-8#3RP<B?k$-&wA8$_Okvrv%QqifkdQfUP}(hLc^~5
z%GgUEP}NLS5yMa?`q?D3GT|f($vk|g@1FjIl>SpGmYwWE*JkeDaOsc%Sw6#|d$+zI
z<9*(iPZYkRhJ0fS_X9HU;NO*>kxR{}T5*QqL*@@u66h`2-z5!qVlR|3>~BSNGX_Mx
z0|O`*EjTr}NdwnKI=bFZZRl#Zfy&#WL3E|A>?ZARDY!Y5TNiYu11WG$%#GR&BUQJ6
zmFV+QAo*rr`j){rG+ReKQ7k)xXvSEt7&1!1?x%;nNJiagMBQ;lM0pJ9hlTMQYD&Vn
zmwf>y=f5L<`R_NrpZJX&p8n1=@RR^;#WEM!$sdR&Ad{ImIEiLMy?jrliUYNa$;LZ(
z0HqxrWguivqm=28@K>#3F#8~Z>vj7e8mIXh&gVFbBK`&+k>wGC#g28Fw_(HR&_F&2
z6XucRH}2?4XHk%-^>FTV8bLK5?mM`RETHsPMSRhZcEPiwp5@}l#?bkkT3-E?MHJH)
zrtxT51a3J*ZtN@ijU@lvWO`_^g1!VDtFg2f0hyrR^lwR1sAiXVI<adFu^N8OfAK;X
znw128MJ`Vx*Q;(6?Pr_Fj^B2Vj)*Wcsqo!1zBY>vR8gDH`Ov_54#%su*M#7)@DYMO
z%p=;8MW@FkI@moYWpQ&`5Y$f{O-oVwhkU{Yj^mOHP^qPH^i8-RobMPvR$;M(l6HBH
znprWzf|9|hW)?xPzju8j|KSSC+}Qqcu#6eLv#~v1%Mt*d1nqftqje-{9Dnt>I~$C-
zX3;i*06Z#csj!yaLcRf$Yt>GiP<G?jkjflCm~SuP^-pPF#Uzjq+PJ|&Nx=7F89&G;
z`<uH4)4@;v_A-xrUSOP8wJ3_?hubQZmM%dIaNtXqk>3-3;J-&%KXQ&As`;l3qzf70
zi5ge8_mm(kz4<mF6UGnM3i%zc3bTOwz=P)7r$j)Zn=j--AwRh4+D~*ev%#tJnM;-m
zVlYu(bW~=IA0FMdntk8Q2?AyItTQA@7}<4rw|AHT+|7EzQ?rw^m87$l96=h`Pd{^V
zG!O*1^&?MwloyUVPinIB$%51JN&9sq1O%!NU;QLMSl>CSdV*UXikD>!I`0bu=TL@`
zjhqm)1fMv2SWglD2LJ&7{|uLTG!$GIhY^yUvG2po7;BapyP4M-Dn*i%qR5)01t~((
zB9XKplr=>N+2SP>DcLG2lF(-R5+(7?zxUj8&%O8D`#is2#!<!fobECZVi>YVDoq;P
zzjj~0dr1v;By-GMzbXeZTX$CeX3D`s;-x`*K20$E?`T4fry>+&SXY0fD8kB=yi{X}
zHcUS!{#X}8gcBSFH|S&{<owv^dAnK%Y+OpJ3ofd_0rJw5JN?SwHd56yt)K_qT#dh0
z<tb2bGB&g!n*{0RmqT<C^x<8HtMCI|HCTG?x6m0&fvLR6;N~$JXjzH}<n(Dmjd1GG
z$uKHhKM?rrHrW6s{bmId&g#IUMVd<DadilL@$G21i6MwM${B^s>Ott1)1IbBG~w5D
zjh&Q$5u|kRwQkCzLxG!U+|Iq)u=n<Ho`$nVQ0!?Mb^V4B1k|z@m5Av;Y=-l+T#6CQ
zZ+zs<Y%qm9Px~EJ!#ZHJd7#2w+6XKM&t|JGFkprf`etLCF6?)^zt)>z2=k$`R~AGq
z;5z+_jQww2s5_X|Vtk4YJ423MAg5XaN`2lrO4Eb?EC(m3Ui#1y`ESpKFIJ#mAh@<h
zPY-y<+t$m!)&ZUG^SV+THt;d{%a$k8x^TKuD~|kE19-xx)-n5RfLm~Q?zz7%FcuWc
znpVi5<n%1y;dWbC^RE7-Uy%;f==al;d6dA$mhw&Tf-UU0I_UJ>dp)#pzxwvHMGP9n
z+Z(B2wqReFTW3$wg7`_7zfZWhz>~MUCV*-SUqXdw&H3tZ?#iLQtdv1!-z9<8yZ3Bh
z!eV{54;vLWthzWS2Q4<GkJ;vn2-!eX*6P+qdouVb{!EFeS&M#PC~$GFHE2!*XP>>Q
z47VJWxw+znF}(5a$@W4kh$lS_7x<_MAKw1r6JI4Db>Z0b=!_*u1_=>fb<4m)sng#J
zCnPY6(qJEBZV99q+x+J|5)fAq)csdg3ay$yD5zhxfQ?rJcLk)0fTqg{&+9a4#8PjY
zx?cdT&UHVf7I<OJ&6q{`XVSRCg4y<AAHcnq$}{BSYoOyvNDqlq1_N{*CcjoQAt;!?
z+-=JrX5vq(?|Rm_!kKPD=VJyamFQ$I@qJ@<ibnOD4@={7QI|^vZ_R<t%i=7fw2A4z
zZKr-xt~5T;3Q)}8GKcE!$av}dBTd=2bKm%SNu%)7X5J1<GpK2F+CJ1i+jNH4v}=$k
zjob@w@K};5`0o7rG^p}-Q{-k>^1dHZsB~2EvCO0iaP78#vZs5sDb&865ZNw;zt`)g
z1#UEfz=-!*Cemv#&D=Rtuu=+nWtvvE*BQg9+`D>L|8imA0ZK{VBPncEH4a_TGlr9*
z1Gh@kd2o9i@#FPADdg#@lc=vWg1P`VuWWWcyzIBC9>F7xsa1E41er##N%@b&brS*H
zpm=kS=niT8cif{dr^gVc<3E;;ItpP@hSO+flQg<3HD{X#8N$0aO;X2mh4FOfwTyL^
zG8h=F(b*+v2!FgS|54IJkaDpzUvyXo=j_Vdw$>WJ`f=~?U!z5l>}5V{n<|UjPK?n<
z0}Vj!0BOAK009Fw2)-5elEWFU<)`;41~BX~Y3;X33{90}d}?gvF?`tl*MDE>AiCxB
zFExE}3{Gl!;$@|P2D`(La8}dd9hdZbg1iLQ+$=uC<En`Kj7k%Wi*(pP{A~J(PZB?Q
z_0-felyIr+{Gvnv9lmMhf8}PE!Y}@|@rv)2aP@k_mQ`muY*#GRE&eBkQY$$GmslcR
zXcc;O%9ajKMuqkkbI4%H#j9(!=_upoQQ7VCHgq_cl{RuySQevr&TSg|tc<BNUkutp
z2b#{1V1ue0CSLWHOUY8fi@AlJOFnd%d2qOu%}ySJ_!VF0?;@dTy?*=F^K_UuFMquf
zqJRS?SxrhZWNZjOrv9Ur4y}9IKTO?LL}EY<q5KUQ=exIe8T_V0X!!W6?jR+!d9CYG
zkwU>d`=Q!X)&@{{eCnea9})d_c)!=MQAP7^M(0G90TiB~k&N!K&hvBlRsXaqIvkvm
z@>y#LI*mnZVm2zHUe7{`{6#7@8}j$uKV=9`hdAG7d{f5Ph6b%n2{jDf6ER6)H-dA^
z?Gb%vRj?w>wS9Y{8jk&w%^FWO0;X)RfVlz*ld8H_BEG62x9HW0bPZ#8fBcAaQz;4e
z?)%d^rKXO#wy|GRx{YD2twWQn0T~lRzPzw?P{-0`l3>XR6HxP<&R!`eV`@Gx+wBeN
zSd}OJ(qEnRUv7>w1eGW#+xp;ikD@xZRo~e2{hcW=R`R3RqA1Aljd*vhM-5+z4>j;7
zngKD&IH0_Pg8YNAam~Bc(DZ}-p9n*97`#Q6H)U7F2S<PPZE2xmFuQ7N_mDX(O#iSI
zP*KGd+j08{PAV=}9&>LBWxxgZ`70dSsyO@T5L*F76^n!n)M?8M2;d?agc4P8cWA7?
zlNJTpo|dtPA7z5m`s*TQ|0wu<YBhOKo{ZK>Au-N_OlWqWFnifd!2>@fk{By0m|C$m
zG+7Kle^_>>N(cq(eDkW_^edyYXwARFx&Zt5^D1lCQE;O=VKY||5hK!~%7|6~>H~GN
zami#1mQt!1Kc$4BY5}}Y>;V>jyzuYmCZnv{Ek|mN0#@q8E}{)Uzi>FO%^?zAHMV~F
zJxLB1zpW#*7y@MZ|M0xkrGhDO<t94kWbpm7u>N!<0Bi0GPiu%OC}X0T$tae>mcdK>
zOm+aG-WikN!^${#sl4ve9|`>PasHEU6%!uIEy+eU5;1VbQt5rTI2s;W@LIc@3Gpg?
zjfYw9Fl0lz$sRQ^6p<R)df+z$hLY%t_uZ9nJ(b(@4=(|ik8(*LO=Q6OVY|-w-HJ$d
zSonQLP83HyTG;+dGeE3Gs#sW90j*$_%)eU%?fP?`-@IcEKJ<rq0)29LU?MA>@2N0)
zd+nBORy7CB;n^FUMY3qy^X6rdyD(P#SJ(2e*bL$q<YyO?W$=_n(#%JKFgkqtZgO7J
z3>bIwd=6cfMq}CJWseadw9D#_)-5#!OIxFVXY!=*&`oBM^J^ho^gdM`p<@acyQ8Q-
zUrC~JOorL@HNyCD!i^+SX#!9B(;QU9B{8?YIzQS#7+pA56q1Zt+!jv$WqMcwPk08b
zmd6NV{it$%XtOa0mfiHz9v8;}ORoJ6W5Q?|{y|E2lQAS%)h@M!h~t*HN1PQqMNn{Q
zJ!Acl5vcKKo97Y4@lRUJtIRPG{Qmaksm?$a&%cV+`n?cCuD`icoTo+6Jo{pZJL{j0
zzP`lBxFv=guX8*mX|p^#o1Lhi!Q!)=ct>-b7;=AbX*o1SKoTd>@2;^SJlVm{wLe-6
zFS?GkUwABr;r0JL6#ifUs!Hb)c$3A@Q90e$DoY&cf#!cP-T*#S%XMw65<{QvNY#YP
z66l~u(v_eYz?HJ5b*<B4IM4o$*F8lNCuNcdp<n2b)O&4K#!MV9C;u+(%9X<T>4OK%
zbLn9B0C#iT6366|=UeC6rE!o<S^L$S4lBueYw02qXrDmq>|K(<&od!?(^_<pn_4tF
zdP4&BgH8_bXUbuz>Sg!d6&gJI^!)T0JxR2eu#G-`RUT&vo({yfG&tC|-dAlz5)+O1
zMehAkK=xmrXO7g-;9`u6j8c{q9=yhVUdK=gtGbS3KmiRFQva-zJ|v9^x<40te=DJ4
z>Re`dCJkPmhz%-plEGs`YwSguiFn{n?fjoxG<bEOrr5_u79UvVe_eA~8Dm{j9hZt}
zpp(1!D8*h5Grsw2o$^w_3{tUvKr0RW4L<qr_K-)1-tX3{1|;<U<z)Qt8x08d8VhC7
z3P|EAX{`_-qfUIo#odZ@Fx#5=M)!dtmUdh}vS*BpjZL=Q3j63FU>?noIHrVRny<Hb
zRZ;N6IS)qTLpl`qjuhHT67gP#)9i!Os@OGY$8|}}0A^}s4t#4M;`8bsH(y&&@sVo*
zSJ4>*_@%zVF~M6I<Apk-*nd&6U)Xlvmo<ivqmc5=hhGJ?E-l{Tzov$3yr#nYQw-rs
z;jS0S6)HF~ari=}k~;Eltz)EU839|k+_Tp%B$QQoJqO9^_$E-^c3{8=f@&PfUd@tF
zf;q!>`=dIx7DufNpEHK6A#JPgajbKCCDxY-XrMuZ^wc416Bz2h8-I+Cg6mv;M5YKD
zxT#?==OvdZBz5H8e|Uz1rd!|hX3VPN?nJ|hR~@GCZAaYtg&!1@Ke&O9>yA3chV|;s
zu=xMNIY712LKQiypAySd)v<BO!N+T(IdE6~zFEk+7dMG*9C5K~c%X=D&WfD@lYNPA
zzZSB1zInF&Z6y^a8QrQ+iW$%wSM^+=S`{Oui&P?8R55nR^n|@N6E-YGeWMqv;(v@t
zo!Bx8u2#FAyWh!#z8BhEDrZ!&&?SjOHlB=s6#8}*%L8<8m#Al2tD;u_jws^|B)nj+
zR;J|uz^#+*ef>KH%kK-EHd|4~fWx&ejsXDg;<#`1MN+UPH;ZzqoQNg$G5sG-0hmtQ
z;G-;(k-E|7fTf=j?mJ~2&mRwPkk;&?<4MMvgNs~uoD`5>MvrIjX@IjItcNFRNvItc
zJe@Hoi;g?S!m~pFO6or+99~O8joLVgOSRIt%ymt+%N0OL?nyrXCKbH<>^a$^OcFOe
zGxFr30Vui@n*X?<j4MYzmb49tBgf5c{U_G}w0nCBt2`xQ-tVt-VWwhO6rXpftBeWn
znl}d}ts&xucI{C2K2dCWrvB-*6%#Zs{4sfIse~URGF$s^i=bn#!?q1C86dUG@{Eq4
zBKBJzqZ0FlF`kWYS;m<GS{u5&|I3p{$`^rF<0>J1;CbYgWRE#S7rH!_-7JR>MO^Na
zq6D!#Y^AGnlR5PM&MJ0VCyRdj{ZIb9C4iSxDf#Ey&EUqiPZGD^N#jf^zV#3g!1=V&
z_Tx-5aPr_OOl*_FaP8J=!!~|QD=L0^w#F3Z>HhEKo=Ku(Is3-)Mt+=-A;z86GX)Nr
zOqd&!K;fn@qGx{cV^)Wr8?n>`6lP^goTMdiarnXup*;flsY6h6Qo{tsO$wJ7e&QHu
z_j7x|9|8R9ZZ+?8-xyp&t8T=;62k?n=NdlEf|zM1d%ttNF+94ES=-<wh83ee)Qc5D
zSdsGXeo3_vfT!8#knaRMF(t;}_Yp>F;HO|m3nSPcdiss<EdoByzUs2bA%gku^;?#@
z4WV@21G!kadX8hugk^;Y8duq*{M%;;_Y$gKJ+dL7L_maOaHuGTJ|I}$UNV4tjw_q5
zni8<rJIPDWih#7i;%B<o4S++kLQix90h5(nPn{r%q2ZnNCs&LNAohJsRFy9Qm&P6m
z?3574bx-{oc73D+<>dY?BCP!o)3@=iO0n*V*C#aZ5^KDMHuP+QfU=?`1Lc~M=n%wz
z#MFWgB!?Q8%hqD3w@ddOI!U3>-F@wee`#=(#PxwvErxN=%;Ha+WAzc)@gBj)H1N)F
z_1<GDjyK*Obyn(;!2#W(y;f&w@IrAqQ?Oqg1zw%&8q|=(puDrkYj&_W{O8GM@zWBx
z?z|td;D$Utr&i7J=+R&=@jP)GQxfI(?jmiHR79$vZPR;k8nniripmy|LVL=HRo*rw
z3_f`!|H~R0Y%-5sYG05-n_f?u4=O~|bD;T7E$f3&j(=73G|LzKQTq%267kNHb7Ix(
zG`KH1JhS(=4659_Q6@a3jF)qCox}+=m?%o9>m|rxE0wAC?y(A1FH~$A)n$1~q|=iR
z<k9vizm{)42@Pd(sndICU=g_X;bNo$CLZbDcRz`Y{X%RB+!-`TuGBrI+pdUJTl>Vc
z!zg%m(^rm96Eu*u>@EvSQo>Q?T+W}nRB?uI*-zSv4nCQKdVd*2{3O7w9b-&I^N?+K
zq{`^f;}Ec7^OJ}-eWndZ_|z~u#Py7zwgDV5-|Sy?R~dJj&BWb$sfM-L&XYq82GA^a
zJJG{a1#jf2zy5Mk9gSN`M*i+Hg!qIYc^+{RO1{(EStO!?Mv;y7k-SF0{om!+25ls4
zdMu`2l%Ro`<KeEu?M4u`oadq*%;H#I@#L#P4eW}URF}SN46Afe(lkE>M}qda2dvRV
zh6cyibDk!U`iJdQKo$kPit3O1vT5Q+)vqTP3{62h(xf3$Q5AcJR?b(w(7*^E4ZS=O
zGjO225Er_nicAa3uyg(z_;*Ro(f6wvWH_=rTYYBbeCq48j6QXIWdF75MV&ds{Plcz
zQJISN4xbD52&m)noCGPy7zPMWF)#GmQ1R-*FXmbqHI%(J6c}y9gx_&7*Kcg1VtEB2
zIA%o^`G;f#x4maV<l?H6paB*0I=tB!ti1nDvS%Tm#m}kg_HYsh74NYxJC6F3QRRzX
zq-!t$+qc&eSISlKWZ37tK{gWJ>=pdBDIMV76-9D4tG_vWZtI&&QpSRpS3L<e08g`C
zlQ>!H{$r0*FOVZ5PxxNyy{7;tdlIx~$rOCMYH~~8TM@T=-7<~q0FZL=8G0H<Mx$>W
zQDyh#u-$l&$FC8fcZB>?sE&l2xY=it6lBnEAh0pGkTpNbk|%6d1%*|%8!xm-qKC!n
zoMDz<4m~KWDpOFw__#~&+;hY+O+NjJ%q{><5A!J(J7rY&J71n%$NJx!lh-6sS$%|0
za;P<gh*9qk7P=Ee@pxzx8-0Wc6q=iXM1~SFUKGpg6boaB|4BEQ{Y=P<Og_bXRS{ck
z{=GW9B#5WBEX}EpFyLZvd;8$3Jf^o?f7Bx?fXVGUqhhu*;F?_e__<SZ$X?(w@ji_Y
zXYbmD&pkDVWU6J76|0ZuYdYo$MDn83Vp<=MkvUYhWWGFACylqBy+4ppyACI3!+wYr
znt^ui3mwiVDJ;JcelXr{9j2W68muN^23ZqVz6$P^#0`EYu9PUQL!XvjE$UfQ=vCgB
z;JRG`jn};Ma4=klM@mY`9g8NAa(;4x8X%6AmL-}Y=hmU_N-X(Kpa~RBl4DP$i{Ux8
zrGp{@ylA5@_fqSVF_e~9hw!j?nB6CWT*!+pxs}+n%NRCq4KLrgiGV*`x*XQt;zR$f
z-9N|P8bRQ_m!}K5L@|Q>x%%B4e$1T7HF~hq2nt4<^Y<MP#bN6Ln*B2Yw5G3H8#ZhR
zMbF4}O;V!xKJ{wPiii-p40+u<;cE!dJ0#C6e-c4wXM&P7Ll|#F#Qa>GHvnt)^|5<e
zMKDLOH7R3_2>utyJg${s0RKI7?J;Z+K^J@R{nKwn&`0Y=(ryI<xY?C(^?Qd14!Ds6
zcQuOQ@?fgs^Ex^tx_siC`@!<fuIoRvDhXKlPere7Hyu|01#cQ4iK0zP?3(^MF>F*5
zIFZFk2dbN#o!Mbg)JpOl@9!1I@6g@(u!07av3G4h_K2cM6X!ttvIGu0ZH)=?rNO7F
z^xkA!0+Qk7S!-h{jP5A=WU4{~RsJ29bh-)XCZ&IGl;w-i(fPnT6Z%k<bXd9~Pz;Ge
zuQn?DkU{a$_dM$>^x@exDzBKFI5Pg!=eq5e!)u_ReEO_D3`E{--}O-(*@En39#6}o
zWyE5jwYNST{Uv07xkdu3vs3wLNs5>`m$lt=lRmh9T+S%TlSDyiy<Cu^gf|;aW@$`)
zm~!h}$Y=FOK@;bN)Hou3IPyzMgrN_o9Y4Emu93#4-9j8%hm>*gSbhFudwp2T$8*7X
zL<W0q4Ve4yQ$hJ%KR4*_*M~~6;Se2ZmM^N~o`2Xy!icn>7a<q*!9M+Jn}Ux#UI|^(
zUb2&n7iq(Lk3P`{wM8)-_7(+{ovmL!v6F(E?TWng_-XKP@ZONRq!L;;4Xt-`Q^hsg
zwJx7OKm*R&g*(FiO4w{HyQk5aiU-OGBw8O0f}g(-K6H(U%=rIQ60Fs*PZDRVoax|P
za9_J>w=%kuDXG&`bv#`?nz~_}4kNs`zATee&|x#De)f_&y7Im}+;qVJj7~q_&poAr
z?PWa^oewpzQ?o81!qN~rEb>PTDoDs{975jasEPHT2m?$$R&Vup-ky1wjGS8=#W`9v
z(Pe93Eq%-guBe~lSX8B8xQBglzn~V%rkEOZJT-<gdCFi%4+T4(dslB$)54Zjg<U08
zCJ^c<;}aUFiqSB%d66~$%V+^%w8#{~bSPqWbE+6YIQ=oPK@*n(_@-Mk&4A1L@j~-n
zD*o7ZX)aAi6Tcj`qFN-H!}y~m$=eU9I4Ut&o*JluraH<8{vKvPpzGrsa^I-<_;FFU
zeuz3+zU`8`X~*(HmHcl$b~QBCNtko7Qp0k|W94VK0EGObQu!9CXqZ`;@!`8F?x)>3
z;p+}?VcPfd_2*P1ymM1L5K6&>EfedBw*fA`%9N0aregSc<$DbuNw_c>y>s7N0O22j
z^4~?N7*j59w$(xf1M7z3f>#0Lvo{7=oL9y8LiSfzvWR$SH*-}%!UBfU1$Rn}Q&4|(
z`R{%XCETq1_Vb{e1<0-nv#qL8aQEEZC*<#PNFwMOM~hiNw3_jgm0e_vb@<1}xhjp*
zX+-jt6@a8%DcX)`68dbkeKEFC68AL6H+Q`Qpm9sP@4TUcUyJkY#s<akhNHtkPAS0p
zhT3$~d&=0}=BG7UB8t*tS@zN40J|=vTwACoVg~noZBK_V_HJF&7cm8h@Gi4bf2o9#
zkIOrK-34(dx$()f872hfr)f)eDx%MtS|N>le0cNf#oy@31goP8sg>LcXr`=DsuQ&i
zzg&HBB=$K2)}=c5)w{|e_3+|@p^mlKw!h+tnjQn999))PK9)gsY5%LI<G4}h{;&Cn
zYvxeQd&8rOA&n*vBF7YSxL7`N?4I~z2DM)%ZU(-SM6UOnPK}FkA<wTalMD|tXsetp
zH&2tmr!PcwuDszy6<631-(m{a4l*r228rX5>?7Ju!<@M1J4c15nkgur4R*e;PYiW;
z@=UB%=0cP9bS1oE0(tF+$b!cSxHzBMsgTZvZP|yCC0320_T?6<*#c3_G3zkz1#Yw>
zoy=_vHijalo0cc%MbP0EnU`B+Ek?|TOR;}40^uX6VsAV|@Y7(ud_Ff1o~zg_F2nKy
z*Wl(h!B4_yFg+2Fq_7U96^6si`wgL1y%<$b3*!b0JEdq>UL2Y#cTL}B2u}2Y7F9!G
z9DDu!#ozmUSgA&R=kdk>68X6b6}W}*gqK~SF;M_Zv==g}_8P$c=aT8}Z-tN$Zrii=
zp&;g1Dy8@Qpo5w$f0lTU5cW^Y6?o_hBiEGgzwszKq}Yi?3jY$qvF3%DL@5yr+Vs0n
zQ-Tfy5uSupqA=z!jK9nk62%if`jrzb{-1vN;DUjNFdlM$XzngaKsK|r-#xa|;AZZQ
zU$P~_sL7G98LuOT>Ze7`C;sU}>8OP+uZRdH6bA+f>=wrZ@xQG{?(2ie48iX6IT5_9
zdqsI7T>`r<yAM?D(}xjbHYgMm#fMrgX&lp%=;m9WJg&&%=c^KF-%3%;ypo*n;3|#h
zygJS-eb$4vExV>1{0P`jFl@clFN1Y)y$x3?^dLK_TId{W9|`o(o+JKpm|CP%v-i9n
zu<yu}-z^}H?D<*&f#M3dQ+i{OYJeUny*}B-wJMHJN`&;&-YVj~*`clN+w~w(LQ$cC
zOA;S^7<#*XPzg1J9=d34)`Mc=<n}zG6jrrKl^^LLqRE!9()~_)Fmv(unKoxu@5o;l
zI@70&kts{7ar^Z^&-K{hr5iHXx2e3md_)DIbeD7O89i88LslOBDT@|1J0~@Nl5lBT
z@=N1tJ-9*RqdnUvkH&K59QLf-EfaKblJQ3meB?X@(?2U<ZyLv<BUKfHF0uPAIqJhC
zvzs(#%6h^I>NsFU#Z>tXZxU+sfhQ+rK}>*^M-}QPD%{mjoSHf~Xg~wOfy3>QpNUw|
zH?(EWR~=i@2aR((Y4Dine_$&r<NjasB|SbGsKT)OVS1Df52iXwys}hq%L(p~x0^N5
z%1W;?R^I?tRT4P_Pm(Zryh~?FN(-Bdugo{BHH5$SU!1gXCF7i18}o9L7P=QM5W;2*
zLAU(;juR}tH7&c}C7NiXM3&<lzb{5`$obIDfjJ5u{T?;v7^96l$l<@dW{jadVfLEJ
zJyo=591Dv{(#HKVMR%>(OyOweq7$zZ6_2Gd1O0bvqyN*1Z+xtLsHaidra3~zyT0Xp
zXC}39C8=rrm%2H;e<tC-$4Lzj${B^FYir@_v?}v*BL;{b^lBT*RYOOYiH#EaEWZ%m
zC6=;!#J8W!oTxrE<ZgUDX7EQH^F%4j=Ar;4Ra;H|eNe+MhKXLQ32NxSIV)W(62N1A
zJr9428ZJEFIR52}Dk|N3IJd2z#b=?RuIOkr+_6`AWCzQWvThM(f-KI5{U_wHLsAWc
zljj`AwvcdnxvP!W$pZcd0096043~E})qfPn?Y;Nj`*N>)?Rn2dQWRw*S{gKEL}Zjv
zGRlt<Em;jpB&5XmSSeIW5=D`SvPVMv{Cl3~bDr~gKkw(9_p3$K(62063r}~boQgZH
zf|?g91KtHO;P$I4Y!zQMG3e`E&AN0YbhqPhxgEoR=Ccv1-jbRq+uC??F;N~h);q8V
zL^B{`+A<SNH1Iub8|8(f41V%ZF3CO20MpU)XZP8u<B2zk^NRBlsGHL7#pA#LjZ*!Q
zAzL*h4wZiEmlVSzp=P3GQVduu<C5z!S49Iaq13!&VVrq3H2Sy?z*PAbA2(SAH?MSz
zncovYzPSP^#Tx(y7{lmNR>qGnvvafhd64tsc-_~n06F0owrj{JVRoNtynYQQN{5-$
zl&}G?SlWxE8Y<x1XWKr@P}y;&^PQHwFC7Bi=Ay?o$l<#`<_#=VR(x%#ITl@O4Hs+A
zJ6DIvpsnJ|o9jxLad3;QWTu!kR5^yLnKeq`)vt%$zT9NO3RBlj0*9?&y;M-kL$V}Z
zD-7q5?OP?HZ?i~I(Gmncg?vqXDvmx{x(~ZatHhgI|B_cEEn!=3+PUZhV#o_N2|M{$
zi5K!Gi;ROT;DT?H#66lQMs~|)Jvz2Z>|XIm^LuL!h7lhf?kS02WRpmwhddL$RZnL7
zOEHHp9qUFL$iis8>+7ylWlUJ0H>PQP*$lRBh&j9LEriw^1Qe!@Gh?o)Sg8B5DWteK
z#cbLvh$7Dus_(n7;H7UBil+~n!t%=TzD0Qfv>m)%-sr-Lm0vFly#HhZTmMS@*{jBn
zsbBJY_a0-zkc4Bcew$2ya8hj>+r@`<60at&7qDZ-@A0^8FO1>ZA@@xRt-QE$pi$Lx
zjswGdi~Xu>jbX*yH!jbY7f(F(NjKTeg$=Ie$@xu2U{x#8xSPU@>+O3+!Uwpqp12TZ
z<YWX_Qtl*1sPf`q>HLYGr+M+`waApzE<<P$st@yF@FL~Dc3{0JKN|I(Fz@y=gg>+H
z0?i4$Xt*xp@O=S6T$f|Fk@3#}yfe(bi|5w*<dd>r#|Yt>7&FDyOamZ)vQhL&;zP}K
z95;qjgz^3fYcV%d1F(7Oe<pk#Ki=45HrZP!f~TF5=TiD;ut!YvT&IQr`n6=+uXc;#
zB3t=Q)?^xtQ|b<9kp(fWVnOz<f;gr;QGBXoO@r@?;FC@kLYnS(C!=r)^mlz%vU7n7
zv=`;%<ZdBMmDuja_Dd2gS+6{@e@2DWaEl!`vxL#{;d0r|5NTW&{pfRKJQbF?IlkB)
z6~P~;ltzz8%cAF(xPw*OsL;R=)8cX$#hJ)02em)Rp`=Z3dy63zeq@xoM!1S$^@>Eb
zW0?Zx^6FLR$Wh^%&#er-gW_l)uS61eQ^K5|U(ebKQQ<{$&~pAI39O^Hs<rP>#<I`p
znmudv4kevGjvpnl%Hgr@Y>)~*4qf6ZRHOoLb>8-)`qHR#a^Iz=8LCKQd+H-(O$AO3
zy+qMG8H^nes{Y)dhE(EV-1%cv;HHjUU?Iuj#pdOk(M#&s&$Dgs^%5!wSlJC-Zjna^
zpM#Mi=9=gi^Zk4eI}KJgChOlmt%&;zJA_RlwQxuL^W6488qoN&5={z}u&tC7kyE3M
zH@Z11$7X5JhSNDFY08+`#xch9R|oetR|g*Z&j2c~eZ8Q3Rt3$!e>%LRsf%&HUI>}2
zGlZtJjY3UPs(5|ZrRQq4dYE2qV)R7R2w0jV^?bwBkY1KoEM-H+F7n9x@+Bi!(Yx@a
zJWw5jk1lr?%2JT;USziFvN04TAHURkKm&uu_!FrwD9Hb)W%`eZDRc-mS(vzJqN8q7
zAhVo48o#>ujM>TzGWPA4;MLVamX-9QOosY6Q|h<AGsGO~pWpUpnbkr#RZh{;)JL`#
z{`s$-SODv994*b$#)NEYw)77QTJ-Tai!NJ&iOIV(r0L)zsU4-Z+7vu(Z70ZNVGYAA
z7oyB>>EO$p1$|*zGKyA8Z+1IM2RSLFpC7*KV5@(nYizA9e$V(EF<=W|)|%=@|EGg0
zjApX~vLx(&9_>|E4{(#b9JYT%2Wi5Y8k|<zc-oXf-A7@-BX{8!SMRR%DKY3tplafb
z9lxSR0t1ZYk|iolbx=OMI`bQsIu?wZZSZ)>0H&0Be!g4Um{fd4yS76GcgKDFYBSA%
z#<zio9Qw2{@7v7}Zh1=BdSmAuGj<!O4>7ehUD8C30R_844tacUub^;*#RmKuPv}N3
zY2dkJpB<(g(iq9p$yW1=0Vb+K_pE=Y<H=c_Hz6M4Xui@kk>0=nf&IQW+iKPD08q@6
z*hKK)!5FEG6b9ImhctIyRK@q-)tU&301ovWqeX6Dz&pC1*vsuID8-VvlA_Lyk7vs!
zhL!;s9QXfj(@;hu^V*`aAvUa;OF3jw2!KWgmhMxE$h_x!I@2L$)cnpHaoGg`6fzAM
zh4Q#rl=S40#Xn;Dt|ujUgbrmhLGzDK$s+z7RvsN*Af|Ip7Fv<%@baLi-KoRUXp{B&
zSM8%YqF(5LLua5h?0Rj|#T_Y$vB&AY)DtrVv&@d6e-&0Be!Z3J?jvzL@+nonhj*Ij
z=L@>Zx#ow%AN1Cz@`+*ZDdi&^o>RnLTAux&oh3}N@qAFbAc6t^SqS-9OcA$~wmi2;
zvjAk@K$kWU#_lohdYc<l1m}hyo>BegU=z3cT6;+lO^%l9;{IvE>m673xRE(bZ#A4O
z|HzL?oa)DuV`qr3#!Svt7tJ7)t$nz4ZLb>q_86=hnkDpt^JB(-nS$s0JX-;G9*omB
zX$U?$PxOhZ3uSCF1@-KC%ETlWZmZLIaNm7_SXPUxD}HPO;S<Jtx|=w0a<V<5&SjDC
zNmbuRQ!oK`?>j|~?HuUwpT`xGpk?BtT4k!-1!M57XtkZ-<G|?s>unA`Ss`d~wS~S+
z#-LIjbN*f!JG#F1tj$ejLX!<e>-ocsAbI+ddA<-k_MOo?#?#4+i#$^dp;<%du<~a1
ze$R$S1s^=Sr^|}E{ECUeCk#PB%4#I1nhlScOkrgv8^-bkf2033fS2oX<Fi}Xa4!E~
z;1@{_yl&8t9v5o>gNJsRcKu^RinZ6AQVAz6+>@iZ3K@X<o(gp>H+B@>JpQ0>H#d$%
zy!LO&qd}!6iNCpx9fwy_Ha^wm#W8_dL4I=@q$r65fFB2TwKSg2km5%$TNZctNCojU
z2bB=jHGRUf@1|)8Vnx6XfyXDQuq5w&IFp$R4+neutv(P!XBq8VX$n*@XFXA^$-<4E
zf&3M^pM|mXXMl@Qt3LeEYiFKP=fQm}Wsy0GqImoHxvbSFeJCGw^kehq#WMjzJ;sq@
zn4m35*>9o`(w}$xlz-;Ku&axA-c5_+!-eZxx+W+vE4tcnF+c!Gvs(4eXC*Q2+Q8$Z
zXDIM_>*iV=Ng*7k1sBB_N#j_*!}N+W1<Xu)YfteCBd0@Rf(*MXMh&MA!$&e04K(Ii
zNr>PqHK66joE+Y}UR17iiwx5l4QjEbqIh@qr#FL35q%0uL+7K(kVQ5(@dy^f*W()$
ze`hNpQ^2*I=3!*0deq`j-7JnPr~VQyt;%?_Ey}<90vRmSFU4mXOQJH%YN-IXDrQ>^
z&I&e=;j}O<G#{nVt%v3Kp>1l|mi}{7fGh<@xp=}{ePu8}E}EC4LLI~Q6*zynMuA^P
zXLmo>ltZf7&i@(}HPK9J|HW#RHQjz5VGCwcz=w58z8RObFx4m6=S8YM)G}K{`7SA<
z!cC#`PJ%l4Nx$B;Qi2NlXQyhs*p<;l<9KdJ5($sYp6<B%lnP9IF2jVR3JU%6{i3(3
zi)9l9iHuV;2qdNiKhspPV0Vcc&jB({C5P+~_A&tUkh(kPs)igFPZW!kQSbv<hPipW
zA;^~OSGsai9XWe)l#U<M$J%sv!X(@X;#v>w4!Wv=P0rz)j*jSKhgq;Q_Y-3X=km%q
zTCR!xn@cBl*;Daag8k*ALZ)ziU!(1<dMzxoA`0(CQE_v2F8kmaGq8%5dlIpBcgw!U
zO=u)i(ecEzsS1k)goYizvwBkpgSe9h>-JI6C16}gAjJ~!n80b~og}PCOmAW1p`w(d
zZ`#6Ie*Va~Ado&o!YIR=dmfz9$L$}MO?lJl@Oq;j&oOUZbX3(pqv20MiS6A{^AP}l
zGM2$VRTp1RO?1CJr-xfub-Z87Ga$gDgtU^Zi$>tm&9;ez1!mU{Bo#7%@`NS9&si4>
z_Pw$&@6f^`-|ed#WNlz;9%C1G4+(Qhd#YB+8mQda;I%Kn1`6GF`|c!@u&TJy08&7$
zzi!V-Rb-nzzoYoB4Oq{a&bGVg;NXRYZ_D*c*jKBRf2z&~Zdn#R3t6v?Iw*ejvD2Dw
zy}UXD2^-jHC2f=;t%WGw{z&P7B+eL?7upxtK+XApDZ{rKxL?jfLtsP%$8P^h@(H$q
zBiyy_*8<dWH@v+0<~=`daf(QY*SCSNQQ7T1>}uG4=TNF^F9%+(bA1#3l>v-<9^ay_
zs9@Jn$q(*XCUkzY@m@z915WPzsYusW#>}eFU|-n<!keb9UZ=zW-R39%FhLOycwW|X
zr%n>DZP@GPs{kH{PDvSkl*6`bUhWV7d?)Odj33|K4DcjA@0r;;8Pv^{X>pbBB;dv3
z7l~#%jDGw$Vb&vwN~Q|Gm4DX|14|3Jom1A(Y*$0;%@W6U$+woDJ#WxiPn~n!t7r`|
zeSZRM;zY6IiOqJUv>Li~*q&X>E>=(#HNs23CX7bYY5(Nq8tL+et@FncEMeD>v!Z#m
zAnujkd(@z!k?z3#VOqOkje}}q`irvoaN(xn!G+8^I(ud2js0vEFv&gCb^aAMY8lBF
z-?w@~|DKb6MAOk6mQ=r4J>0;Fm~&LJ``2}P((z4Vdos<y<u=EL{bKBxl;|a5Id+fm
ze17Q0ub-wM_2Bkso*FCa96Na=PP&eG`XJ39n{En`qbz!MA<WqMuaFs=+K9xS#6*Yd
zCeW@`lcdYcgn01m>4&F35Fd{pu&rJ)28g7EcAWc1R0cEuJlfVnJZYdvyxL<7riYoj
z(*2hRU%t%`NjJX{`;ua&*0&g~=|iNwFa1k=oZR^*_uF@3+1(~t*whG4aIl%gty>_j
z3ZzV$QHF`(UCHNJiwuF|F1yAy^*@BeZlk`I#8E=K{H*_~q9H7X8lQN%VV>Z5pdh_C
zJw^l%O@xhJH2}$|@D}OfIbwfR^w!`flY~PI<#4g20Z=}5U3J|!M-<d9Z3>Q=CZx+d
zeGISCpuJ|b)mnazNWarBS>!cKWR+Lc`76-iaYbnFPL(-=SyfY{+<u<udX}c)e3uHc
zWlBmvJm!djVUN+&4GToXK+?%p11i*a89Xnmnj`3cUc_ASTO?we(gb=N^r7vv^LP8T
z_ue!AW<qZ-6Fc|6T{^REtsZ+O<@w4y(e~;Jw=vf$QCYUTEufbIFGlcBeg7ZgI^ESW
ztAz<?&c{fKh*DsNS6ek}Vu8@*6n!M9&4Se-)h$cTWKh0ZzmZLQkvM$js!eJhD{7@%
z4LV=egZBGBB0W-<h!+XG@3)(?W0{=w9_w$q@N#JneXrU-;@&Tx4ZmhM@M6|zI;Wv7
zIEu#_Mvtx#`~k%emfv%sm$LrSN-7D0;>+6^K}<MAyzfi+%!BpkDsnH*>VUucnCoy7
zGoF_lC~Xnu#|=a7G8TJvpg6WaT(OP?p=Y(q;glfeu~{?jb!&sd3rkx$Nj4OI!F2lv
zpD-3q8^6u=)&?d09}-(r*|FQZ$gAX(2$nlg21G`*z!0*|pVZ|<#fG?kb#5`_U1iNA
z#c9FgcZ&}3Q(UN>abtzOS{zNjcf4^VX@SbG<M^<j2k&kaKP!7l5*al%26Epup?qlH
zBR?j744Sn%YH(Q^Wtdw}UwNPjd5Mz3u3H2#vgGUtXPqpnW6G*<k|rEJFO;D0TL|~Y
zJnT}FQ$W&|4?J6<H9;&tbvfQi1V0_#PVRSALW!Dasnirrc-9<L{kByU4Vyg6UzI7N
z{<*3<7ppXZG%J!Ya6}x7LMWv+BvstJEwJr2hZeYeNc#~<mPF^RSt2GiYUu6v^<Hy?
z7C0Ez&=ka_adTMa*n2+>Oc4g@^YYrTpwsnVzmhEGo29`zZ7rN1j+2#`)`mkj4Lx19
z$|GOX^{CJlZREHkFRsNz0%JwrKJ7w9lpB;;E*~J_F#YF5$7Wq<${$}66j4Uch`q18
z-s+)~PGz^_4?W0hS-;6{j|%SG?sqA;nu4F=R^Oa#p#WEkpeJjMDo#co8Lxc3#%tnR
z9B3?5DE-ZFl2lhm;hM{QCrYVU_3L6nog)qGEIP#`FKeK*F>rcD(Qs~r*Xv8Y0r0ne
zTVk+j;n{!1wFx=~XxBxOy6tNORS`F54*P2(3(({l#ReEPdv@ltfeCD4>9qRyN(T?A
z-nR-}G{9WJ#?RZ;%z*TLqF#+(7i%8g34Xw7h$mj%aVjTUz}yv&85KP}eE(=ep?I4C
z%J^wMA=z6&%$1U|4+><|sgwzR$uPjQ?6<$!yy>u6L&nOti;Q_J&3Zq5X?T~cr}n5A
z;I6XKZ_P~<bjk@Aj<KfVu$M5~rfUosJ`(A4G>n2xPNt-)TnYw?^#2S#Yy+Q`$1Ggj
zC~N*Zz-i;5iy7L?v>Ot(uvi=+?evw5#?H<2G0(NI|M2#IJFnV8<soU;;59By6TirJ
zYf%l^S%|Jb6SnZ%_@tS;fF9Pi_b2L@DC4;VGo=t2J0J~7M#muuAMCPt(5oYh{$u_A
zL9%vW5qCkl!%_#6^bYom9uUJLo0eau|FH$(z{2^^R4tsF9Xa#qA|LwlRNihbw}pra
zrmYf98n~Ojl;zyTjC&Z~HEG*zVfSw94@)Czn9v}xO+H|Xc#yWJ<@MVJ7AE+b0@m`P
zTB{ZY)YKCnBWt_ngKS{>n0&31o-#hvQM<vF`JKLlKbL#Y8qZcZ1l$X(R=`Ao*vb92
zGj!Vrnp)}pYxnxx;CU+>S^RdJ(024&q+e%_N=_RENIpbS3to`Ktpe+v8`D?m+g1vc
z;|~H@kz2&V2gPt$TX!xhl^H(jPwjlrK?jxxUCsPFYaA<KeHuzwKxBn~wV}@%D(e-w
z13Lv!NwFd-d=o3sH!4Kw%vgc?FV%BFd_4I4K<7A55-U_#elk}Pwt}KdfrZ~H*s&)g
zx$*aDR`4&0i#l&=3I9bj3ZH0W#+qFTmm=1&f<(@%mF0sL@FV34*G&2{;k!<`d*U|>
zh=%?xT*);D-inF#+Z*Qz7x+gRif4iFnck4q0W+wUoh_>=nIw=Z<v1e60<+`}&p?tH
zEV@_8XzUv%{@ZlCVfGO-tmAs7^5&E&Oi7gXIj?*nLQZ?K|Mp-8hmz{*>+L2`Q+Kj)
z+^L1ADycof%Fhgrt6S%e>6*ZqUx}3x1F7`5f9&?MpO_%d&b@tTjR!^iBc;!6Z>38$
zTb$yrW&(1;^UoEtMxeA=X59hlZhG%Jzv=NOOu#WdDxbN>2nxSR3r<z{)0ga>Ozhj4
z;1G}Uhb`|6;h62K*gFwJ^xOkl`KIj5aPY5==@WZHP&wge8{0ohf0m<@P_m5~MjJmJ
z%tZqTJ-a?Ggn5F#YUU9e`jQzsi<;x7tqov4v-{bv&?)-;hpd`zo-817_R-3vIvUu!
zU7$64&(N1&h>XZ{u|k$~x?ZRQ4Psm5KFOQR(Ys6}bzgpBg-k|()PEgRm^#LjXejiD
z?j>ca8QjVSCdn0%U-weM+5O0B&)5Qe>C7&}kbZUu*-sKUG_Mco&zPiQKQ7V@cAR0}
zC&vjR{wb5D7xm#zS-1C=_GS8B>fo|?G#9*={di=bjy@b#@=dkqU!jL_pEG&H#RKVW
zbJe_8C_r^f=S@stf<CUWo`PClNc6S-lKPDd*H0$Kx0W!&TZ*1;X&yg(`=}`J%#aN4
zWmx;|*Zk3|_Gz{Mi6A72hydRuJ*clq7#^gvfqVGBoK_}b$Z?UW(p=Vs_-{MsZx*wI
zbe-DeYK923knRe<5733i-2Q#hrkrs6kus?=M-;LKhWM7INFZ_Q!`Y(mTyT@GmhH8o
zIIKHBhK4gF2$}K{_9^3mGicANQ6~ZOZ?`{*Qy@XDlERUtyL|A|bF0|oIVmX5V~PLR
zrUT1LZo7Up3&3p0aV^(i8Q3B!Ov|~T1GgvMH})h6!JEEP@IEgGLofd>N$=Bvi@hD~
z!7ajIAFs&!rC9;A*)D~Aan^wtbE&8CYND`zy)*lrt4fgER7@H5(1AyX`foQ}69Yr9
zz^g4kl%YuTZpzaL9a#Onpx#230BaA;*rN`r;PkiTs%5<n7;^M_F%L+B`NWXCXq_6|
z=c%{+K_<c8JI1v071GcYe%~&2vj#A=dHdwQAOY(Qw_=eZS@_)V_PS|Y6N-eixq2?@
z!sfrxE_H-FTzHVJ7nH3HsjJ^@)?d(rD&<bO$vH((di!*Iz>@?4M?zeBn#oXRRT&qp
zt_)L0?6V(B>OlZ=m5JFJ&$>N1bcl7A3h<{=Qj^}3!Hlan7}%)562R@^nx_hGm#2k;
z==zX!cB03Qj|RULsP=9XYVhVSEqj@h3N3o>K4@V8tl{Sret-tp$=C=Us-}WX=XQ10
zONP+?I3v9=O%uXfm)f1S(BNXhYsL#9W9Z2(x_s`l7HrR*oXkZUT&~`*spgRh98M;w
z-;&S)SKnM=M<xT<T_EOb9AE}DC3S*H<|LSz@xAhr(*P>Bx^ni}TEOKklu&VNT^NiN
zE)#F30qN?Kx>{u`NPKr9{@vO?&un|WCDV-tN;)d->C4t&$#(Q#Zmk~JQBN5zUZR2s
zji&l+F96ZMTi#EH3}6;+-T9wBOwU_S1sgNq>p-@^12;14vO1>RmQRMmS9S)At?mDO
z()C$eGcxcFb=qBNAVD8r$!ptG8<?%*kE{8p2akUKA^G3Xf}6W-x}3Rf;q+V1V^_&~
zP-zt(eQc9D>=N?$ab>41WVI-`n61-=i!%jN;q%IHHtqKBhsn0kQ}Jc$yfO(m4&U%>
zKP(S65rn5*hAmJ`BZH2&X+sjP;1sNvgj*S#Pgh6TLVn=VJ_Q#oC>y?Et5YZp{htbW
z?r*S#Jl{_x+n#7Z*@v3^%Wm8-!^4o+xMBmzp|1VNrw%;MPSq|YOkk<f`)ee}26~QW
zI=OkNg8iu@i+|gu>HOMj;~3k3(m&tcg?q|ixiPTZ`oL%UBK#+FwSfU_-oa`%OiFNY
zbav)>bQ4ig+MY}}GQi8GJg2Zt4)%vwZ{<=MB#sio2ZrAPY~wQ3ct=PB_13%f*EA=H
zXCCja(mesrZN5`b`%MDeMP==)V`qqc0xhSCkPbPFjpZE%VxZmR-^->xPi&djE86qX
z8rU48Sp2GmVZCB~$oJ|$1Q*vU-GON<7|oU%w4M}zw1Kw$x-kpHwVj+Aof1}H=fB=C
z>pc&UA78rj;m#VrR9?CrWMc_5+ou_aWH{l*&#f0lw=EFyjERn-5DOrbwKD4JS)s9#
zD`mL+58?W|ARbE1A*+6H{B{!)bPH|PZ2vM(L=WpZ_D-2WoMO_;G1F!G1|bun>>qQ4
z&A+dKisokEqx8%;`ph5tRK?~MyZ%|?OYl4W{PU&|#L5SQt}}G|_%9;)y)%SrGW$-h
zUK8*y+<xr%#tHh4Q_UPEKc)#4oy(Wzj7{K1|G^#nZ+_B+?6j5ZSEmT>(1*p+SB#-_
z_V*I6^mlrP-ASiT+7uz)vr$TS(Fp4KGT+r}e4(dY>EhfNJ4yVwKXLl^ULzPUUf=Gw
zse?|{DGb`uKS4wen=7ic8$$V(|8C{}eL=53A(OnkGESUU`!aZqVF+p8w%Bl3mC=uW
zY8Y6zdz_HbznQM{!~h<!_y=0`TqSb66D3Dj#tCvk+(@Cm0o<KGdxKK&oDhGI6URF`
zMx1>2dTg$k1|iIW^6tA{5)KELOV5jq6C~M)^%G<oq?ZQWjd;~gG>?Qmq{NOBPfJ}e
z{4o_OT))(E3U(6jq(T&CX%ocb1iiip3o2m!x56T^ZbEf=Ha|&pk`S<o%Itfg4~4N0
zxxB`{5TugZW!Y<a#M8xD@q)WPIKDw+BlmB_g{;vNoBXGUcV@8{M&3}sy0%emL~nqg
zRtDcW<uXmo?RfN^`!5;Z9rG73;u<6_gbBOu-Zn!7HM3jo(k4SemFGvXUq6Unv-6p0
z@w3FG{Thp}ck2O<ShO6qcbI4)K`U?19ATSTX1MN#F4$&<jVun15Z5CH{S3VR5I3Ue
zrWJi8fX-vwFSvdaW65RQ-#Gsg-KTe`iffYKK>j`Yz~*t{gol3l-l0W8Qz)`xZ-@?*
zJAT0KU6Vxak^fRJ{9Put^!d5uztV=4Veg8;;wj>)PpZlDb*n^BR=?2?Rc+w@CCRrW
zIYTt~u(*v6GhzLG2R=r;7JMCDzo{%|miQk40RR6Cmxn*pe;miH?7cVVjN|UO!=0J$
z+l){tltN0WBq`a6q#`4uenh3L>;_R$_aQr#imdF6Y>Fh~*FW%nydSUk>-~7Wp59yu
z9yPmIkkzLLRee)xu**>@smpeSkx{^+?9t1L4BWKSCikm>-09MgP`OpcXxQ~Mo5XFX
zyALxed8Z09VeJ~LQfmx;SIr4aUk<eG?BBu&D^;-6d@9avwa)k@^Vu@`5*G><VcOl%
ztOBn;Unr}|-(*a(Y)NOl<w5EHaXi=Grvd{-QvK}@n9wVBUe0S~{ODYaiKhFwGVCmu
z5OCpVL9->&F$W?Ak()E&mckWfh`M~;k(R}ZBx#p|R+xoRboO7{SPf+uDi121aNdR@
z-ic`F6^fu2Z6j|+`tk6|Tb-<Lz=2X1T?#xx#L$O}b^$N%<KgsVA%nJ)3(>b+`g#K-
z&}r^-TeH4+h<$S=TsM&iT`eb?DrQR|{mhfib$jrzFZoYWGZ#M^j+eB4#4L-%-|g$3
zvBCqvagjRUA&7{@kC$uH<dMCB{Na2@JP>>PbRzqOP<8K<;1}hJ$i15NZe2JY%30>f
zHsK=Zm%?v@R0Ac{)$3(j*NBHf@uQU`W@3nRLL$a+0FM&lb=4+xmBGj9+xj0Z31r2I
z`}O&u3gR4yQMLG>4Ck$F9~$hCLRaH=FQs2mL(W6E)y6w2@QL}`Nv0bz=<0?UF5$8|
z>Q#T1N6S)$B~NmZ?jJc6-OM;4kWNJJo-mz|noxr;H)r7JPDS+1`wFjjEg2=f$c;@1
zRR{I_o|e2)9D3usy2D{v3zeEaw469fgs~-!9UaPew0B88oFYm^nSHn|^+GaCeThys
zD^*4>DICu`RJ4(_wCCJC4GK8#S__#rQ$?5hwk~O_>L4ieQ94ygg@DQ1S=vKtD1!Ue
z-VH8YguNNx!xN$d{Fj0oo`tKU1Io>M#`U_$b~J*)b&du}q$QfNFcCRK?JelBq9I~{
zVphx@J-~@~obgT}p&x!Ev9v2RB<&?7m-@p1n&lIFx);eP%J*ij*BKhhX$pK-vd<WJ
z>bJ<%N?OQ+>lMG)nl4(DI&CxBU;?}MovTUVp`c9;{hNHsx+pn+r-}7#0Fs@D67vxX
znz%6LIXbP4^cT<EU#u{N*EuSpO7RrLE<>6%cA=tKr?V<Nm1ZEJQl!NhOF=%KOjlBu
zHBoodj0kI@IaryT|J>z7K~GL=+v>M!py=DlGab4X;5N^3Nqk%j6>mv=<UXQ`nnZba
z{miofhcT9diAGJ7`(G)kat4P88|ik%Ll(e}5@~b$$*8(BlKfd;1{EYF_|H#R!17t1
zH-vm53V!_TYMG`8S~%4!{GiqXhH$d1sYo4JjLWKyO>m&>3TAqAfCcb|w3&=lsv)}b
zNc~vh3gg0ul`RUd1tf6@O&v*BL4sY+gq_N&7*DzPNQ(a3UsW%(Ou!$H%JvtDyvv@)
z27-ka5sNuEg>PJ8-G@U*JwnpkE^lB5X2rk8`k4Wf%51)Qv^?^VBH`^eS)uF0cPrO#
zrm)9}iC-c~8rAjL{7CKNfK8dyi4QiWz;efvC#XXl4P;&#LASV}r6D}jz8at#-Trm?
zfCyp|m@;2F$_u!<r-Z%Q01bO<g9H@?QT@HcFGfT7fT#479UR7hAD`HM{{T1YiT+gg
zhMgb6Hd{m&y-c9(rF?w;DjVvVyI<F-#SfO7NH9KZJBSOe?KPBPLb+3c8H=L)aC6Kh
zJ^ZdQDEnpR>z@D3Fft-}EPUjH)8QV`Yt2S*tzj&RTXmixCh@KLdH^3ByZqs@5|a_A
zZq`Z*@(eRnbL=De#rfdFbZmgQsUggDPX@mzu4R;1NtPSE;f1k0t!?aa25?tzm#1dJ
zJB)EZ$hsql7e)qt57PVfVd44vx^a$SY=v|;#B3)o9Ju4r#i6GUH(31pTh*tq?pxO*
zC5(7Muw}R7VwxT_Y-!jq=`CVIB#D>7yLiD`-OMU_iw+`Zwa%9R{e@i_Vc3OU=Y>`L
zu*1nSbeI?U?YP5#6?<fQ?bWGCUfB04zt&}#23r?iyy_|Wi}}^;3g`CcgEO_CZ>Sxj
zLB-+ZSH~(hF=Et_!A1f<)M#p@J?+(nz!t39>jM*bTYYN!$}Iq+W)Wv54(oy;XWH^#
z8VhhxblJ4{1R;iV)4XX)2ja~1SA5f0L1u-y%Ctlf>{{+cxP|F}uUkdmm)~q4oHy74
zo<fk)F?X+CNC$YF(dm&x>~L-6Ke--lVW_LOx~fv94Ng6IB$j3l*lII4&?+MW_ivBV
zUhL6^Xu0f{PQV3<^rE*D@}dyFC+=(gA1e5~;9Rb6<_0Ivyb<y3Vz4OqQ#`Mb3jHQ5
zZ?_%)cMtE1Lfas55UGk9Zt$Q&k4fa8Y)O7lmv<sXeUJc0W;e$|1u7_fWzl4w5CDHK
z<#W%?rGS{?zcM*a0eq)r<dYwQaBiN=@})}}xK2As>Q_<VrgW;|*##jWIo3QaijxKY
z)oN?6WC}=RHlCq#iGYLa=3>ubdEj}t`0_{~1tKS=_n)ANg8HpdHWv*=$RSyK8JwU%
z9&_6<i$F2>ey?4JmxhB=M1wN<;}mes%Hx}C6NezXADT~gD?v_SzmV5C3WV1m%+xoO
zgb8c>x5N-UTz$F_b1i`aY?po?>wY5zZ%6Ha2R&7W=nq^y;?)$m8j_(Yd`JeK;f-)P
z%PKJFy{OdumjW9VdM9f6<$&2YV?EJa4Pqn9Ub;F^0pT)f^d5O&vn)>;NF#uj$1i%u
zYbr#v`o6p2st6g?XC?LK)S*Try_{yI4Z+JkDl*PEkWccq#+ed9Rzy_c<&ZYK9VlLV
zy<Z7LCHcCRVo4B4Ut9CY_~(bpXNO!4;~~<eak>GKf!+GM)6!X8ka{v=rRS{-ZYBJ!
zSHEe(YOHBr>=7Dp&nKMwb3p}8%{M1Ve$j#hABXk4eCbe^qCK4&rV0&@*c!juQDD!B
znenH$^dPF8sm38h4cPzmt!AW9VDgV>!ro8%V5sg>I)0J>(O7G2^m7WJbo2EF1w)9x
z+5aoaLLDBZ$rg1zp#WdGD<&Rl1bXAGd+pdYU?%9#?~zCf6d#nHo9#A+*=Hqt#0xaQ
zg6EXudHg>e<F0jn(J_JPcIy|QOaxMmf{zzP3)(vj-I6Y2FflK8u`PfIpz!VFQY{(M
zGTd;kt^le;-rV|hBK#DtHOglt!QA0F8etM3lA9oR^9B(paz;$=nKi()<wC2G$G<!x
zlxnE&B!X7-b5UHI8Yrvm*dI}A3SO)iH?6ug;Ea8ffAK$^v{yRnXSmGZ;90wP2R#kQ
zn$9xv;>Sagr*mnsz8SbzN9;2@tq!6ImLgw@6+x_ZfzH3n45Z6=vW|ohKuB?7*{50-
z_LFZl_}QAlh_`Oy{0TL9&Bx4Za!e9BBFnC^>X?B@zs|wB?W!;mEIE1igeY)HHWysy
zFoTW3!jSLGDv;S4=OfS|2tjP45!`L2P;uVtl~FYw1TD?0zZ~TOwX^E<M^{WCbAGlF
z^HTz5rKT7IR(1&bJ=o+(HHEIQ^=ofcaj-wN|5(-)W+)7=>aFVnu&i!o%574Bom}?5
zhs*wAw8uCL%MgH<LQX!0`{f{L(&R}}_cB(#v`J}`0C1jGvs-16fhGaz6mhpjY{4m{
z@7*a3bp4szCO=BT9m(e{`bsm{`q@XOi8&^aX;)UBRx1v3cVY}<Z%trz;|Zpv1KWXG
zp;>IwD+=|rjn-N89a|H-?hqim9bU^M%KnxXfourAEa*Optp_nbd*@~hQO+TiGgpKF
zc4`n_Ym8!By|W@#IYy8)UcyKa6@);WwkeOfQEZ(5*rds<A#lse_4%gpLAjJ<)q3z4
zcKvlH@3@g6_%A#Rd$pSfn3o&2zsjD#HpA^#?Qa@@v)D?v(=IL;xtLvNZ99b(4Q0I#
zn9zq0WzWUUZgRl)hgu-#GK*af7yZ1)LLXwVN4zfl?2z9ZSLo=vfZ4NRZSV5*0JUEi
z@o!>-if{t!JMt1HLDy|)=g|YV826&+N>=#T!tb?B_7~=4H-FnEkPhc<FN;0zVgV+P
zOD|ZISFku<N;+<g21Hgd;j?NiAU`hf_^8Dy)+Hs6tPapXE-@wFCz}~+e>^;?626A1
zr*S(Lebj~eC$n2`ESW*e%)8~n$92q=aLC)#Ru{AtH#NWTGsByyt6PEFw=l|QG23nL
zbig@FF8sn@CJ@a2_Dpn)3I2Q!Z2h@Q2VU9>{%qr7hPtTLGY^effOJo?M4(F>_MMYS
zJ*LkL$h~8C;v-h*9+s6p;;9X)dn6t!Tw?}X4t}RSgl*7KDrd0rlM4FHUZuuM%&<>a
z*#3SkJBUn*42{N6Va|3n%;6#nu*tJZ`UG;qgRT3aR!UUxx4JrDt;`CyzQ<}!*l<Jd
z-7y(+M1gtA$BM&KtiYRochw)`h2F@(W=>BEaKBZxQu@dSrK)a@#RvIer{&L$PuvtZ
zU6GV@>dQ7L500NH-Yp19UFWyj&T7H@sk$2nR@p%?#+U77j1b(EWgRl?)P&;>_WCXu
zC#bj$9!}^LhRWvqAq*=`xG^~4CRM}*t&6QeHakRNC_V0jQv(^Un+PUdGvopOMqIPR
zCo$;pGIAvBC4-b&FxIlf3kIzt`pTgaFg`?KPM;&ed!AKWlTLmx{Ix+$vXFuivc8DL
zT@rkWW|-@p7X+49Yeq-4Wx(rHmcOtY2_7F3sJfgi1eNh_aekI^kfrl1T3?3*bs9ku
z-&%xWf|ccfMT7!Sy&i9v<4Cag@xq^MSy2eo|56sZpa?pg_Lg`J61?rdD54T429eWA
zHQ_WRxOKJvJjsCsYmVL7DdG|k`z#<bH1Qv&y)S0qGDz?tsc8QsLlRy@wwOFwQwCAj
zqE}QdG8mm@8}GO-4K{4Dp}E1TpoKh{7PHAvH*z;J-B%Xa|LTM-Z6m-9$NAekeKcX=
zym(f>zdRiAtRjkKsY3=9;qK|J1veW%oUpW2gn$Y4P%=h@E9DP%(j6!u^y%GiD{mZd
zh$Pvz43a>?St8^KFBSX-=zI>hm4JF?^w85_O?bnkY0&Y53UU`?E^@WvA^GeTv!*RA
zAoe|H-7}>P`Q68V!ZsDy{xg0oqT-(q{yN-d5zvLhym4=P%v7P<TuH-X9~Gpg0vB`l
z)4=$(?ZK*WHP9#!@=xucg7l}CG~YTpd?kPAt$s{^sp5yH&QY|XE|Q(8+EyQ&xoUcP
zKB>dKluI?6?%IHRl9bsvYXEvz@AqQgG@ysREn3D!8=^R5tFJ#Wg1(%(kcW*#*pWz7
zQ<2gJm$2CX-nwjuSx(NL`!OW&@MO2H&ZI(q)Mw@sd>H7T(c!d`CPUR0ho0{c1&){4
zsEF?eFzdYLo_m1|NA~)jJk_BE*`Gvqn@gBN&fd&D2U5tOvfS+?5<!NMb38%)$P~aJ
zvrEvA3=Vqir?+=#K>9`9vWS0qWZt3}GQmp*k9kog>zRLfr~Q1FL5&%Rd&etW^Cm&&
zd-crF5oM^*oz@xRFo%*I&E-M~M95!M7rXNr2WZ%~fJilmW$`x7Z=o8{dtq^}RH+=?
z`!RR_wt+d6`#C?KG*X8mv(CObPDx<8qa4bkYz}<E_n$fUsKFk!Z6Txo{%c9wLNM}|
z8Q_UKU)Q;+0_lj(F_8<r@Gbs!z5in~$h|~QtN5r4B(g)k<#9H+=#k@f)x``N3uI!I
zjqu=|xXS)q?l1NrB%)pNw<%C%<E|?{!h!KZZpE&<^Vr^MyscEcDcsduDNT`9gnD_+
zaO;*{4Blis=#nvoY<BF89bFFmc9;6&Tr(Np66`X!3jT5H;$Me^gVI1tvY>N97h_|1
z=*4{+fN|^apnHJ?j2+rmx!q@!5zwAubNU(vg_AqC#FWKgBI`is-<nAV;eF83y*v}>
zoK{{WwF`sTo`{A-_8G>7!xs){wr&TO#XsT6rGk)YT$o_~be0kHYVX?EFJn0MFdjb|
z#0STFPqQmY&N0H^Pp^uqF*wS;{=@c*3-&ekIDd+nW%$)<on&`60u>%7*30kM;Si%H
z&&XnivFSiN>UY-=>Paa!wtrZm_rreX?1(AGOu1I5*02Hm+%Bj8IEWdN%BTOEI6lcR
zSMe^|A{xLxD;$+}c@z8i_+a>~<TxW}&#puNUDSs$toYQk%r$H<@fJ4zY?M*%|JJeK
zvmW?6bo{!i{TrK3SM*NVG0bqk=COa4tOsufqhwzj{K5vyRbJGz_A?#{?G;c;q{G|_
z(eqc{B6erl=28u*hcS4hX^QhF4VuM@-!FB~Vbj(pS9jNSFiv#-XXx!p1HvonEQ5U-
zYfFC{CzaaHxMJ~nT%=VO$_jL4rQc3q{=2nkUo2V}QSv5J-A1}#w=%+WVdFbim)>0*
zIaJHIoO--6>8TEgQO&-L=8s^c$TG9blg}Aj4+CzC6Llb>nj|asYzV_mmpG#Shm5Id
zO>vt7ZP2u28}wEkz@EJJ&RP+^fzcO@W4P3{VcOj{;AKP~cIH*cV8)G7tTN?LoKYzi
zrY-sXCfs^3CVu9_j+HMl-T(GHt=FZ3p<g7s&eJYzai^wtu2db?7=MBq&!9lb*W6-Z
zpRbsp6F7U4n=tL4A;qEg6!_+Bu!H4FC)Py1b9h*#4I`^nF8r*~0)76yhWlnZumin?
zWqV`Wv4eqlo~iGeaLBWLbStX^<9gcTlfnE26W?MBcr2_5imT%iSJFDL;>BCBH~!80
zroGTAXGMlX`OB^4?>n#?K6#_l;@#Li)+Beq2og*QZ{yB0>BOF-{(PDKwikOyG*dtJ
znh2RTx!8?~PHdUx^B^v{AM1*K)%=@@2)*X>PqG@nVzO%-AA&80uv1P`(Zx0zu$X*Y
zSfZ~Bi_~7dpwKgnot~L?Ka!>nx2$9MI8}PESr!=qeB3A|yQHbU@q++M{PhXP@_MmL
z_TkS7hsQAa+nI&OObO87@~3#g?Hjgy{OgAN!3pfC#$aQ_JvA`dp(SGCFo12Wv{u+%
z{(-r8-Ko>xRE5ofzwS<^L)frn+Y^u8X)KtvBI=^2DwMsE4xxq(V{Lv%KSiCM!}#Fq
zjNy9~V7We}Q{Fv-<+JTkD!;dY?YAx5f5J!wdJ?2}G`oJsTG-9g%Lq$Ywn?1$pHgKA
zoxZmGiF+K=WXCO3_Ws23d5){hC@X`Ifc(yq@d?Z~DX3NV#WGfHQ1I9E0UlbLUXNA&
z`hjII8O5<Q{>J<q1aGn^;=$S?&vVdV1`BMUCWLVP>uEtxlD6k6f#*|&L#5SoSm1qM
z%gC5@ELBo{k%z1V=J%~w2xtMjos0I~vDv~{mdmP>U*TZS-l96^9ZQ(=SZ?_rb!K3w
z{W!>Ej|0s$_XUIBKQRw?^Pe^U`eWQ?iTj=Jija6zxK^xV8B>lPT08%Y4eVrH2A*D4
zgzD|n*?A+su}i8ctrKt9!G4$col0dzNY>1oP$jHkM>k9a53_Iq=+J&2xvKzas>ZXP
zMeCSu<>9={C?2>ax$8p4hCGlJ@~$w>ZehYZ2eQU2`C;?6yZ2jPd3d8imUw_M!<h%&
zEY}MKLEBX1!~CKgT+S_Wv0q?;^imh^ssqAMWVZ-qv2tL1ru??t2R4uvh-*2oD+&ke
zwHQhUa*)xw^Hp9yJB061SRVm#c(mPFPK8Yl!tlSUd+}W0^I4<9BT5otci$gBHZKd_
z5x0^A@_9hi+#vAqhBPpT@8U^il7oC<_FHqO_<<VOxVfuR4tTi5uO*wvf$FL^t@4#1
zRE;0gt2&?vU8J(if~RtDTJPKZffK^;h~B>6>JJV=?+Jw=PkAW5u$!^I{oj5Ma<Bt$
z@X!}mm4DYm0Up>I`IMQ8!&F=N=k@{>Fksy<;Xb4Y`-YqKtO6uqE$g^g{tGo&vp39A
zG{iyt(s5mSpEO9_>D>`FqYnEvOTV@{E5VXo*2^6Ma?o|>QMr;S379ChLMQ%l-Al^b
z-AYP|kal+E__n8-z*wD$*yI0?M@Mz4>T_^Va`)xp%R3aXAF0R3+)x8!KEou;1P_mT
z-!OjlQ{l*|_U$r!8n7eh%-ZIhGGtWJ*@|U#fP<H@q0LT)6=Fc|$ET_gF;{t~X{Rpu
zUElcXhEbqsk|XhYBmr13&ZdNeG^n>9Z+gF78=lk{PCnnO0VTs!QkxMSR-?mA-iGVK
zKBba|^Kv9;ust|>`5PVN9}ITxTBF0^xnp<SzK~()=mtYfLl5GeFQ&>C8bHark^G5c
zTA<K2!ABC&gT3d5+A2bfA+d5;A;N<KM~06cVZK2JN#WQIKPL=a6rY$2Oj96<+O4;K
zjRr#NuFnkxO~L1TX8foP6_WAivKF~@;gRX3i*s&fz(wi+!9Xgsr*D*nDQZL6yWaMo
zXmdFBh_&^-Hx&?l`|F}AEg-KPxppDY0$zUHN|aHhg3A`;G4nGGXi_fo01Znhm%gPe
zQb>WA0)Nc~KNZN!we}!qTEdX$jiSf%TF`iuTScF)2o$CZgwYmDm}{8$ZlkRUo;LX>
zAw(Q*4Yj*{t+s?4nIGt?L=sRo3BeDVxnaj<MlyG(B|NS+alA0A4lS7$(*lLd*fq(d
zOJM?*FvG0xR~G;8p1+sRh=z7D?(NoWxq00J%ELbS5M@;0eQu{}!o|Ogl$$9H{WIoJ
zb5Ai{s!$2Ox(GKvy2y^UHB}w)v^EE>0Hx7Mb4AFWBi^eZ@S!lDv}c+R&EQrF;eqCi
z3@kQ2&Eez_LPVeSYwqi&aMIK_`DUU7guVE9di=F8+WGA3w}Wn`pjD~$KsZDM0(yc_
z`+x|VO(f5&H3HbQI7SZ~6#!8nG;GF+BJr`3{crRDoFf;poBo{OI%-`kJ}Qdl)MqbL
z9>c(yaK?U2i3Qfn`>NO1MUi*>_}l2yCZPY{ZhGU_RjfedVx-8NDB@PBsvnNp4g>t|
za?ZlD825kL%vFt|C~M7$|4N}TSmZiyCMkAeGD_P<KBS7GhwmDHa}OB7MLVtFd6{O0
z%no+fBZoy%PZMX0nt~BLR?G00`~ICFv-n$8hAN8s6($*Zrwt+I-P=AH*+s_v*{#2g
z{G!OJ)RZ~6&HxH7quP3@-wgBQU)JU8B8cc@_n=zI062(bqGi-N<Asp<d-hEclz7{M
zuPRO-Tu%rHbv$Q6oks(@wuy<N=}`N)u5~>KJ}$6jx6FdDoE-8_b5TSR@UJfo(1Q^}
z&j|w8He_h@B6~ho6lv~SB2O*TfekmYWx2+VGT#@fR{an~>YG;{xrEc<rpDBR=5|gL
zxPbeH^Atm@iHSEyc<7K`W<H{HiyQf;)dyc)5kuE=dyhvwq=7q=(non)UesQ?^-DTe
z9FY&UGuxTaAVqU<;m2P-ByVH7pVLPIrMIR#dX4CUs6hx7S0aFHsUx~xyChLg=foqP
zL|vFT)Q|UlB8YB99z0-bD~0qLlPzOSb-_tXgT?ix5ITmh>`Ff>jXEp_{ICrjI3cPX
zGJioB5w6gi4&0JKp;`H94{LS6R{6h44o?weqLP~7FeHnrlqc`eZ|Z>hkENPDheT1A
z)|3v(N*?_bU&h_>(gCyX+HupvV#sjPC-q>10t!BMHaW;z2iVZre0e`{#6K(>A62G^
zbb~JrrqXnv)Y2eoDNzC$``D_kUB#idPD(j-nmW*!B7nu$NTR~f{sN<uN@&}UYL_3n
zI*>vNejWHn3i%wvrQsd%NFXyg{O`Z{H6)gTc}p2YulU@cW37xd6UD?<PV0bT{^wtP
z4`ory%II{InF_Mpz3S9+Uk7A3!dzbQ%A=enJ=GFWMZ_ZIpIIY1;1_*xE%mAbI@Ku_
z!@$&#3|rAt9erK!TzD}Za8(h>B)l}D855A@V%tym2f85Ke|^Z=9)~Cyn8p}Y9VK4u
z6s(q^!B)NAUw$bibnwJN>NZ&o6!3K-IkSicm7m%|#>SNpr|gQW&awu|E`|3ic69ju
zlU7<=fk&lNd4H}|5mCi!mp(fdJxIevD5ys&qlDq~@)xcogmR-I6I=A4cC}m6%t{44
z96D|9JU~JPaX<F4Kh*!nsS}>xSXI$&vS2wkos4qsXAAAPW&l;gb~zExRgnPC{Qea;
zGSX_nLX`pyVYB(tM$~>aM6l$di#m|e@=g|m5+5UYhCgme99KgT2G92A@{rLh&#6zg
z$BiM2e*v|-5zsjj*Ftg}2?;G``wbr44%&$eJGiR}D1rRwXLCCdtsd99J-@>QD$nhb
z?^`1vn=$1FzWo{~5%Zxhs$vjz<;(J*v^w(ZJi@y4TpjsP#yyjlFo-#!un{Pwj>286
zZp?ZRkoTz{S<L$Y`gdO%9#|%z`xo(7yT?`k`Cau_&V2y;S+5;7PY9^x$(C25g9@^_
z%wVqQ1t6sD^Bb@sAk8@#uPVl){{a91|Njh^cR1C56vxf$+S|3aYjf{)?QxG$DJv}z
zQjsW1B$Ohhp%U4Z5E>{^H2nG=6e>|hS<w)pgb-!?{Qr60&*wSkJm+;@b!YUHok_N!
zSjw^E{&P*_*2*fNvZ><0)!t*ODz;#9ljlm2nkE)sRXuC$sf;AS?R!t?+QO>HOCoE7
zshASVO^uCHz{}cRg%(s>=pM_HFTSdQDrxFF{bOX&F*)jHf|xC==kse9CDf7S<x^W$
zO2HEx`>%YS1c*!jJM_0x4HqNsRPR)lM1Ahb814pu!>gYWHQ!WG<YVbYm0mHt7Z;aV
zehFZhs&OECN(Jj)8?=TDh@k483k6p<0?4)UNG>cZ<8BV!CMPc;JhHuFcaR8xV*43t
zp{Oz@IgO}MPV(cQi66bnDJ+;4|4>`8NfE8rU4-jQUZl7;Sk(Nrfzc1?SB0|W@%AZg
zUY(sh7%G<Zw12w|yxDun!e&|)Nxylen%GGg8DJe2P-hJXubs%T3X(yl*>hiUGB@^b
z=Pmf4W)1uHOvKawQZU#*`PB0uE|iN4I&t8X6{ycj^_{&Xh0ml<FDT1%q2$rq`Z^<)
zFx%d!Ep|u}Lm#x3td`_LG7tZgCTB}ncv|Kv>L-EE?en_5oVk!avh~(rr3L&vJ`lY#
zNE|~RF54A6=0dA~rS{Vb7EoNC;C$hd7-lwf{W!ga8!PPCt2ZW@gGYY!!`=>2bd3`|
zmZ?C(2M1igIxU!iOU5P35Mxmc_CbaHd^{L<N_c@1W(LfAAM)4S7r{t}k$)vJWGr<y
zml^$T3Qcj+GyZEt@YS5q_jX5K^pCX|9^Y*WYroPq9Q!GZksc|Jtuy%WvfpI>`VkWd
zhEvlOM}=|lRzdMRn*g@%p`J7kHG!cv!`x&GVT|Uw6Z+(gAeLKiecL%_44wf7rF%4l
z@!W%Z*9d)KqzLMyZa!lSTcuAi8!d(LOSStYzbFx;&Dk@?<&7aVdQD>JN`9*AU7pY&
zQB)~*o$Re*!b2%b@9jgv_^AJl2?mQ{Q!=mDt}RT6&ApVk&q@T#_ly&UvEs<r>R8qG
z&j`NeZ-_3<7QrCiFqyJ^3CtE~x|nd&2%6gtNj39{;-!pLv8LUUIKRAT-sfoqEUUE9
z`eadD$7yNNu1-OI8%B(~xDg04dRmIK#L!8O#&P_VG>%(UQTKE(;Jnq6e|D!B_QpMY
zp}8P~)~_euS6ySkjz2DUK4gfaOLj?N&RIFUSCo2ucs~Qy6>B6E?UTUj+VO}80|j*C
zw-|lo#DK<y9w`?ONlbsQ=PNX(h>J^<p=CM)-YfLKmh_Oq<Iew`uH3GSJqu-=x6~M5
z6uhg<Vjl&KCUwP5ZdO6_H>~TGDh#N25X&}@A&pjRFFp$2qKdg?9zQJf8Bk-;-OBbs
z25)MXOBC!-!?lz5^MlqfAWiU$b&#GMvVyfKct{;RT*cnSgfYM&`QXu<40(*^XX*XB
zq=60F)ch+-8L*gq{NPgwMf_V8TR2=!#m1{DcQ*cI!19E*aeR>yn!RGr+uNpz$^E45
zY1@ooq<(l`(hX(2lRmq?bW#i5>!WWZy)%NtH{KebIHH1y+1sVq_;k?DSvpbPhY1gQ
z9_#aas$!fdrD#M_7hk`X66{-I!p0$=Tr~?d%%~Qj$O!9UyzEB3-&MxYaiCt!LtY&_
zZulskAJ;?O-#=e0o-_f?ppv#H3+gzhNk4nHR3A;Z2|OAJG=*1!671t2G;od4!6W&$
z2FTl!z~1I#2HBgaCsglHu_)GuJ)_6~If@Ddf9)~{etRan!G29#sB(J-?+j39H*y|}
zv;fr|H}4mzYT>L*&so1`259hI(5CT{CD<2Te8`1bsP&55z;%xSdX^8z7?oMUQz^>c
zK09sfS_+s-Y}UsoaqSPIUsyv!s^~U>o7#Bc?kgANF+IGzN~d|S%?7Tk>it_B(Z-zW
zOmneDUEE7k2rO%1!Mb4^tpRQwJP_bv<hWZ0f8FERM)L$%AhjOp{HKja-@C2Z|4s`V
zo<-)U*8qscr&p-I(#CJ9BX8rxHF1kF>)4Q>Eu7~icG!n$V>H!-E@7^L?^XA=_Bh*u
z>7j2*y;E8!J#bVf$xRJwd^gzWMcKm9(`nBt-L){Rd?JzIuYz{7w{E;iwgub1A9YD7
znn?S!81<E;g#CVO|ANzOq2a1p^p`3szWS1X4i3m6eYw}h`Lr!ekL2!p+@OIYf;*j+
zq@=OL{}Yd4ur2i8zGbwrK^<owdjwzSmc*W!ZwKXBws5F0<nPQAHB|L1d%AIr7|Nv4
z0)cD`!$!-(4{xht=1XM*Dj|%k6h^2GjR3{g*K${7svw2%+8~<CkMzVVr)!P_6n=WG
zF>qQL>Cg9^ZKaYixhU~A2Lm84*}K7QNfE{NI+Si&&y5`lj7!nTf(89p@>VtlRDX53
z;erq+x^^}7T&J)=cjEGYPi5thGp3O9#zuBz4tI6G*lPoax5YbIxXWNej;}X|C>xHu
zw9LJDW(~GCE+{7!Q&8Fc#8ck`OT;$nc#njbHOOCyW$u!f!r)haQx78-30cf2eY@KV
z=zeiGnkpqw|5U`@G`U4WME6PB+y5+qGiTEbM~FDq%eURva$F=@9^|T3QY>L~`q<je
zmAV+8Z>TykvPfvwo|YSnSmA|l4KvGL6xYu>Udta_BBDa>yS?f(2dU4e(>HGy!Rtn3
zM!5<bj+K^Wp0hBAF4@=QIwN7^ju_reonpfr$D+keH_YH(olAQ6S3wLu>v`|d7k1Q6
zbl9~<#0>V_H<~qR7Qn4V;Rym09GFNQ{}dH(3St&Ut@5M%c<tlw%q9vKUQSw8S)4V2
znGm1&FBbgxtMk#l$gSL1Dq`?&=zs}?`y>RBYWOgF?4d>AeG<0#kMCdi%NQsf>t9>$
z<-=&p6B{yB$>^q`zR~8OF;own7Cy9^4;{AgxMi2}V(t^Mn;++yFjMC|KI+7Wew)vX
zA79UpO~Mx4j)_cQpA;5UiQ&UNqx(O;78b-)JBlWXDNKmz6*@W6%7<B5=4-b75JDAh
zCQ|Pj!I~{Kcl@0B@$6;e<N6UIm};_Hhi#n^5X?=7X2<zaalOB%e1a&>NO8m;8e>5I
zbbZ#&Y5{Z%m26&DD27onM&!;^28fWj(~FA)k<{NAAm1&Hhi%;pVt@f%e<#YxPlRwo
zgr^6anj|VkeJy@BO$X~3=Z``&!pLaYqZ^bUh0W6^2e*{dAzLKDu%<)=r&`AO>i<#D
z*(u;<PB<ODzLMvb3lqhD*RJKj3o=+IFLv9WMTeQkR6m-N7<w&tW~Z3T;kUX~!XgrM
z*wo(iEyF?_PcK@pUBj+`cT;Gj?kO5bSg&%KU`ed><@O`TZ;IG+Hc%(6j|TbV#)7_W
zlDMh&)`R(j%D8`R<(AEDG%&BG=KQ)Sg#)}&`%~goa7eB5np-Cg4$tJI-RP#EysqVT
z?p#$gHY+pi9HPPOsjc&Ctz=NmQ+nO0Mm79Wu6<`SnGQGd%@gOUWYMMQclLiPdphHd
zqKTI!9hQAYUBlPPW8L=i@YIru?^-DLj>XfVRouxz{I>$ihNN716R(N?wa@<9-A4z`
zsP&$=E0mDx^`<NE^~&Ch+H(G$3j@B@40##WD`S}1Q6`s!4w^LT@9KKb0D=}C@$#Vx
za;L3|7TBVT?>3n1(2h2OD1p^|-uF~dR#|Uz^Eo~IChYhx*_a8fRb$7mm8szzamX_K
zjy_6Ghi{G)FowIGI&7t7>UeB>W1wEC0e0+jW27${!}{t75G>U|`Qd?A8xsw&^>Tes
zJ&!5Omhv3DT}Z`9$rt^*DKy;OKjGA<Wd^kw<GVUjHF2cXGqBEuhPOBWCqeTu2h*w1
zCws!Q@KA=dec}!p_6>WGSa}w}$j}n_YN3s$OyP!dR~ou0yLyj|S%PwcP;%aPZOo$l
zncXHv!_d`t5B)Z?hFGZ_rb3hsO8RtX!xlqad;Lnc&2bx05?hyP_gM!YNBNb%WEkLy
zn7{utt60$FL#=zFtc%nv7e{$Q59QYm8=VOTm_Og#z%tTB%k5%^mpOHjm*QA4{~dtm
zn!D71lr9==k}&8H)W%hfQOgUPZNZpzlS}Kh&I<odkz2;7=yp}Sc%j4=oU7hX*tqK;
zy}aaI|6O&AJWdMrAGHMyW8e9ACE6(6Qd}3cM->H@o)8rxcHpdd+is#?3x&9o-8N_|
zW9atGiclpxxMCgD(DX|akF|+t-eQx-wD^ec+|qV1H_@89b&!h6H&G(@Hw8Uw7kRQ5
zYyqFiz7(xr@t2{K77{iR=<RrQKhbIn@2O=6PNuH(QETar^A8cUo0%P0x5BT{qR4y^
zPc@uMj(J1p6~NrEsBuvjTaY99Yu=Ps#ahRw6ILQT`0cnBzE}WAt9+$(<%=@D6(3~Y
z8|J{ejDxQ_iU3TVPYUyGS3){HeEJG$nc$jB*Y#Ql@O#VJA3;J2c-r^)?9rlm;z5*h
zpkWsa4ENMo2XxD#S4PP|apDZ&)6d|TkY>S$8MeF&&!tgl?OrXugegL4QDsTj(+2j9
z<Z4Q{OW~KMhE<9Y6GV59>$8hF)?nh8Iz!@-M6bBGim~8vf-TR=e|^6deCCq5y=8|u
za;BZwl<4%6XcYL7<*Z=^4|LM4^}dK=#_-$bHrJoT)61bQlmnKa)a^3Jc2)#W-|RXT
zVmnT7=3KlcL|A~^ren!zw}tRxF0%^%{31AY5>tc3EPz}_+_gF*fCi~SPdccR#B7(`
zSNmXd__g}y@xnVR`#dzQb~<&6sE*3vy4hd`8l_bl+Jd~Onll(dFsF%rJ@>gwnr5I-
zocEZ!ln3+0_XtFD&Jy&UHLK>&o5IyUp&F41B;+)fvumIGLlksS&vmTurRGS)m9}JV
zboH4n%n|uZblzG!FBM<{Ss5c`g>Sg9W$d`YUdIJOWvirI)dyox*iB-uHs?Y!j#<l)
z>q~?&Zw==iS7Qjc9CA|m9Vf2c-&-J<#D=9MSB=MCG9iSV#^;>EiEoF_NRU6UqgAhu
z`-!zoI4QPzVc{?*p4_C0<4jJZUp{&-_>B>aZu4$-PvArsUispPVlFJ2EB;fy*$B3a
zx>r5F&xwWA(d66uBovd<dg1?t0o@Di7P=f<Xsfu@>_;;INI<v059-#+`CkoZKwzF^
z`GasSRH5|e4<+*A?%u}oL%a;g`e|W3!p)6pEuxp=efiP)GPeq)kPf1E9&9Oi#Eq?6
z3AxW(1Tnv^bE({(4knZ2InnbZ+!r@_&o_L<zXsp-92=oQ*z4}hhjBa@6}^PDy&`xd
z<BQeHR2r1zd3SkalCd-Uk$Swi7@8do%^tR+!7Bz&KmR*k+^#BF^<k$t?h7eZJ~d?s
zPwP$8wGH`Eo_4|W>1zobxT!c@y3Y_y)73Apt`tD30rd%Wy%bt*+;Dc^i~+D6t4UyP
z7s70>*R#S?6s(rMX03410Oom>3SwkMuqWrEmUpEL3bPl!+hAq@`5iScJ>^8vxzum4
zC0!1M8>=3EnbC*wu+K)@jKr|{%GZ0-ISN?oSAKG=Ngv$F8?$fi636$9lkPmvl`yQz
z(WS3aA2vxyz7H&uK=+JjuWw`(%sk^DedMt|yx6bDeOFWpbxC=tG&@z?LyzhD-lq@x
z7ZjQMQz*DSiof&R1vShS>AH4H#Q>J7UvmZP%V269t5tAR9W6YM#a>P_0IqvcX+lG?
z_~&DFn#vX`#`r{N^(Y!b?&}#*zo+upmdlgp-l~bWM^bK%4;Vt!e*0^0OBK<iEU`*q
zgEmh8mnHikhz2pwcq)^;l~I_q>337N4rcs#7dW;=gHox>FWL61;5+rPw>o}$XxcDD
zs=H5z@E@*aO6OJaW0^bmnUDHd9-tvFe3Aim4DqSV`)c^f)W!9Pqal*N1}teDHi932
zSMzP{Q^yFSHR~4E(eQ?y_v^GICJgrbibs>FxOy?);b|WYuNd>F_n<MDcy9j6plf1&
zzT>r`4Rlma3wNMMngaPw#jn2gT4)t?d%2*9j%+R3q{fqGKvTRm!?r^kzdn?D@}h-~
zZ*6wHJjG`L4Rb>s30^w*n!U*ALn9pzYc{`~%e4f__`&#LV_lTz9t@sOqGQeUM&7{{
zevQehsT7at;*JYs8)s=cw#Z&%#JsVAre%A-f(Sj_T>9Sc*ghIwbi2hHsReNU?m|N0
zD?KzkJSF8LWr*#$Ih3qkfKsbW?++t-7!!AagFLN=etJVU569R-3SBtgxLFU6K3e15
ze?kWrx@24}+3dhWkVWqb*Td)=7Y#JJG?CTzhGSKb9hl0CEJ%OW#n^o|vd#P&c)L!4
z8B=KoLFVUuPf~O-_=rn(kclcL2!B)B-fst|2jwDj<aJO-pZ*}aUlHT)a@^q<vxD(}
z7cGMRXkn~#=%eK{8T4|yPO0s+gZ@nE1i^AmEOf!)qvaAf=KNQ7Y$booF9RoCH!9j&
z{<@I7Mg-08R6N{q*bdaz{5Z4kqdJ-^MW(%IA)~X@$Acz1cF^1)8YZ?&4L?_wJT%hg
zz$4$oLbtuOg*_)NH|GtjV24B4L1UwNLiF>{>Y$Jn&nj2WC<s$V)@Hc@C6x)nEhkU#
zD3>iTRaw`R1r@O?*YV=tkDrOBGgH~>Spd?XGOwTBEQg;0WA`7kd`+Zh1zro%0Vp~y
znZ#Q!jehUR?XC4iEN&_3?BeJZZ}N_Hv-Xlg+lg-)gD%Z1=})`f&ga=cx>~vUqJjic
zHAk!V$9J+mPHq`o-)s$Jo2tUw!Yg+yuRCAQnQm6cMT?mm3sx{|o0+xGPy~OhsWAUK
z+`|%mw(560!wQ@}+XYR}3E;#VLA@Dz4{Ma}Kdv8Y32)EL-O3o{MTw*by|=%9U{TCB
z7gyc00D;Bph6RQ^xQg5Ku(f{&tC4JXpZv!hCJ*f@v#sYsr$4_d&-1)xNsyC&{IfR)
zmHc;3^gIqU);gPCpxnUP(RN+PC&LWLwN5?r$c6@A+@kYdR<VYUBpXcsG=*=eOOh;D
zBG`^?%@$hT#JY4{l>O{FQ@BDtSebO-AK~!bcwc^56`|yzx%XR%34E9PaVU*EPaL~{
zKWXc117RYhHTGWA1d4CDSlwNkC4A#Qi2QMRM>O}nu`oPp3>_)So}bsw5bNwtJo8uh
zKzLd02!B4xgzajJ!t<Yh6H?w0?)}4kMDFO;kpn(V@SGGePa>v>tz5fyw|jghZnbCi
ziFFvk<ALTs^SzTqXLRd9KI=hZ_KL60c~>K_-zC8lMxP{T1Jdd-n#07?3)(+xn;B4B
z9W^oVWP-Tyy67>N{3yX#Y&W^;%7D+L28*fi3BoYW<e8`PPogrNyOX<v4uXlNgGrtf
zgktQKk3k9(M3+F0_78753@NRTR}Y*ZHu(w$(;iO}l2kPc>pKksT-TnMzA{13pu)u>
z@HZiyw8%agMT0b+;++p?CJ1-mvCcT%86rk|?a(Yg4elTItYC&u5|MoIU#$545aWz&
zQi_8i$SH_38^x!H=1DC5&NELil}}mJ9yWl^v$p5#K1>lEuB~lrwf_<C0`}dFxvvkS
zY|A2Z|NSOD+mG9YhA$Gr4<5VLPU?ZV_?5}>rfFil>(1S0W6MOE!`ZfcGd;*5IfR$Y
z%@7Q=+d1sc>=+rlPu(a{7es{)pUigqL!@YC95E$0@YA_m*{mKNNWXq3EU$HrFkyyW
z@7%zJZ4XzUXE)J-1Lt;Ec^>&oq!gVC3*#eUCckY*d6qV4JsE$~v3Y@zFrKO!`o3}p
z#Rzo%<<N#|!5{tEJC}%`I}>ZXXL#|@&5<;xLt5bIaN*4R4Q%*H-3`~#1<+sj)p?x>
zO(-FK(Ri7{j-K2e(nkt}Q0R166DvX!MqQK>ZmoFxv86#%(oGTc5A>M#<j{o5)8~3E
z4|1X88gs=*@?vN#)S7qb3KiPs&D4`+Na&r}e1q{&9HZ~gM7{tj#4cv;`n~eMT(WXN
zWVj^$9=OV=`K<xUzL9y0L%e7_GbeG?i-LZd*WXgAG~nE&)W-=D0ywN&9^4QjgK#-!
z-}qS#SOjCcj7TAD+2wdnuv`xRPRSJ2glT}~ngXS#XGHMe$k5mhbwy0t9k=t)0S(B2
z_*-?;qDV<I(W}_4j2|;e>8UF@b9$mynepPdZUw_x?^V!CGDnYEs{x#Uk6+tKm&DUQ
zwWQDOR6_%+2b`mFRM??b%F-iI@bdD3fh&9(Sf(IS?|hvKD9y?KlwAe|mg_ylTc{}U
zDdkO+yCz6&3`hvkki)_KPj9P~XrWVf9NFDm3u3E(`tuxAz#Ly2iHo^9cy9XNdmmqI
zsBAHQ7dEVf0>>@-H{Q_0to*Y1f+ig>sy}RLYNvwv19TqK3IlYT^bFq|rw2(~Z_X*+
zP(`kKr3WQ`G%Q})n;dw-07CAX4arKV<6zlT-S7@NN;_6QIdFsqDT1=acT+Ubc2T$B
z@g@cyEpn+|{zQlQE6JiuQkqzzt0fy?XoU2kkM-xGj9{JVK*fz~TBsA=S6w+|gtO)D
z-&Jgl;VL6qKT~1F*Fv9%><DFI=jl^J{HCU0Rg_=IxUk}PAHRomJ!Ya@o_`W`qdC0z
z$~?2{vmSP}xA(w*OoWQA%9wMOu#1~iE-GYzOELo<A69ZaRNGq(TCCyCA<l_fk|FAC
z@~#YMGQy#cxR#9s@ZP*+=YGNvBj5gV%4=evs%^piU5YKtb!={bE=9vbg*A1u5p)dP
zbG7T7s2zm!<fR`~r{S|OsRgkTL-e&#Td4YO2fCDqfjAOvWuCT&+yB+Yw=$PJ)U)j2
z&GT2(-Y7#Xido%dx}=HLCtE*9P#hq}fqCO|vH?DD*qy8MRSnzR`FoBBIKY3&ldO%N
z`Z)TxGw|~*B}`d3HR+w;0ABaUw-gQNV#^D|`^P6JcwyZ!)4vf8ka$?;>m@@S)GpcE
zyrx?O`&Kb!yuksSTgEDuwrJrxFW0mGDBSotx7(=dhdo>_ys>^^7ZryODx6;(HBFG5
zr5`56+r!w7b;rARsbka72cP=bI^y02nOF1N_Hf%Zv^s95DmF-;e6ZLv!YU8A#$z34
z2fqgzQ-y<-v7dc}(~UgG+Dht+IXGhruI}2N8@Uy*>~ZIx7yH>@RpkTSb3wLXUeWw?
z+Fu6K(s={Q$~fV&);fy!0KhC=(D>dzNt9>yB}`0m!_}eeXK%Lx<S-O_CR@Z%E41wG
z*$^JMeq&9H>RlG7UfgzcpiUT*<dP1gIFq6Lkd1xFLmMDH8n0aw$cK+OcJl9kNCtV|
z<a5J~)^N2r?ZuTd-1tC+Px^5a8QKnps_y@01qTFm6zf&ku{Sp4QCvP5%KGfzUlg<g
zH(HQ=j>li(NI<}a?#*OqwyP2-Vp+mHJv~n)>)(WOy6g8Ne|SJKY-8F|j0LFowJlzG
z{+$pFN$uL3#sjCCM-4`vnZvsRqpp^=KEjdyV`G*n4<uOeTR-MAhl3@KNuENr#BoA|
zZQpkid_3Wu)a_#i0-U9jxeoQLdhK0x&gCSSGEeKOuQrA9B&Ck5U)`*%h=C^F6cYT}
z(72i;Z3@A;eLGX#2U%)jJipA6Nl^4)EZz2)2~ZPl;vX%Jvg{(u`A?ORpj)oAR&&%C
zw9bdUsyIKv+Lw0e*Z5Bo+>l!p6tm43bY}P6ZQK5v^|XuC&#{3Ao=q0p@wPF+k6I~R
z!!^sQ)p=^b)yo6(Cpw677bbYEIwCrkILETfkxmymM}}qV&VO55j3D&O>bts=e_8+O
zt>10s#|yUx-RGw_8bO8ERtp1{MOMcK!<k#Ye9*_?WOAaP0jZ7$NGgTPEY+-!v+0Ta
z;L_NgMh<0wK)34;`(-vLiubu2+AXj$muE6_I2aH$x0pd=aDd6FzX#g43V~Qj&9BW@
z=@432)R`N~3F9qCrrkJ2V8gm?KK_<;us%5~r~8Nt8k^EI4^N4J=j9gz3j;KmPz}{u
zFGhm3Tj}lm|3slT-N`)Q91YS30;CSa@xa=c`k<|f;&AkNN5gLm8uWE>s`PR5f@Mgf
ze4UR3$o|yWrZ#8@A{P&S>?z`dk9VN3{)r^S-i;t){0t#`_uj(NT>>D>y(;UQ2?cT;
z<i}-y7=Qzj(s98~2=t`Y+AG_o!NW-v1J4*hx5riJRTY5+%NP3hQf1+MuTvU_sR8h%
zxhCkEiNeGI-dc-8^6+&?{NlTLeW=k&3T@gc24Cg>-Ag#C2xmeskCEE-;ne+<1IC5o
zkki3$aDS6BJW0#v(0ZW{{nDBupB5$Htl;_~nPVzIiS}iQue={N{lq5`CIz3p{CGA$
zQH2+6F{WH>1`sQ5o-(#XfonHQEMAh;VTt)UDb39Qf{$t}S=^EV-`TOFj(arV=F3Ol
zs$UpD-?I<<4u{CW-afyrBk!ruCG9&<zS|J~2LJ&7{|wiMKh^&i2XK4uy}7vNb%(t_
z$F&O;q9~z-%n(XuT3@9kJDDX(Mk%Y$yOgMYq|#6sWo3`-_3IBfkH>kO_j$a}>&fmD
zU6JJ^3ojB(4SM#dLCEV8;W%k3q=a{y&Fqke!!!zAu}2*qF1mYU-J*isSHqsfY6ZBr
zxpF?+QxpCaIdl%1(185n^da(V0?Zva^W{<>2~G@piJn-Y!MR<xddo)@A(^T+{$MW|
zSPkF3`}Ij19MqbnPw*?ln}?k@g`QA=BBj~j{XqxpE6;2YO^Cpj7bkY}3>9{6!A^xa
zU3mMy0}me_Qvr@(IdT#U4fwdN8g;4q@M6xPVLeq9I7Y1AdWF!yb4qX4<ca|tS}SlO
zl&ist*3DJ1$29QPl3kQ!F@he)nz4u)b$IlK@MyA=2HH^ttsPg5VaE!l&`_iSxBRZ~
z^E{!!xX`;0XQC+_GdVlt7p4gdAJbDP{xqnv;a{3=F@u;3%F~jPBzRf+;5q!Jf_}uV
z2PYjdIJvgKGk=`~0{!~?eh~l7YjNw_;$eV3?^+k)XA(q8wH`C}CqrHzI5i7cz^K5S
zZO9-ALb6?|v`HigH~rC-f7b#K9_A8NLjuc7n>Ac_)xpp%2gxea!9R!aOwfh|wm$3J
zoU<yxcK%_EbTS?O!=xTL7ij|fylQuhyfS<i6Axo*r9&o*bxz1@4G6P&zE$Q(fV)v&
zXL^6rfzIn&dh(e%Wahpmej><%l(t2o$|xNiy#JT__KF%b1lKV7tcb(t^43gt7ai_!
z76rdEQw67kv}cPZ!qDwpCfZO)hqR<NqS6;4<hT7E6=vXrmEuA3I4?T5hH6G1^i_uR
z8uyPcZn44sn*}z1dFarbI1!ZeZy&}C1fL$*%K+c(-KyswTEI<*=%BVB0w_EWAG~9_
zgt>AU*p2V7fZ7L+;q^=M@E}q-G%I%kWAP3mbPNE9TWYe_X~;tD_4F^bH9xST%Ow})
z!U4uF9x#iKmjXV$<ZCabo?~JY>nrAL0QaenfMH!6F6PH(yZb%GhvcGF)wD54ch8s9
zFA{}W9d>RS;XU5+o~YdGVGb#0hs;h#2t!-h(VpzRpYelFhPFp8n1QI#=Fb<Ag0Q#h
z@}2I`Z@335%P67I6r4J5TfepEht%1c_BzpC{Hc5(_x79#kh6y`Rx<K{Y}>HtXxCRf
zc3%SXLy8I5)$vrf@N+_F&GE{5k<a+kJvnD}!;RsC(u=&J5H`^5=dpWY^#Pw1>v$2-
zYy=G}*{ug;SfIUFKdQ;|Eq*hg@~tJe5yX<a&gTd)L0f7XZ=&>b{7j}f9(c$QUKM|l
z=(k~jYyrhjj|<B2+9-0xlcxrtcw~k@CVUgqaJl-7{<{=|x*nw|F#|B-=Un{odJWSS
z?7yS_5n(&OC7t>jqYuRbuTC{5tY8CzX7<J@@35v2)8}@Bdf;*Bj%G*35*F96DQhG9
z3G;5N4HR_LgD7fRgZ27fjQGQh_4nUzm>{OC$JL?>GS~MOTU9P#^onKzy`vwqPJXk@
zN7IGz@3Vs?h4a|Y>uyCuoxiX<_4f{Mm+OGH`YeI>!yG2?w<O=Ic^I?btSWw{tOHXY
zIX32u=dgglh8*{rG3?WKGY*|nZSYkfC8vCz#Waf@F0<B6U;%D3@2pj|fipx~;8Ec$
zhW82*d|ppu5p6HN|9U_J`?HT^q%vo*S1A@X$!oLN2SRV{iUAEI7i!<G)y-m)sY$QW
zi{>$IpNIRRUs0j!&-Fb0m07I(Uip{$1AnnBd);Gu-KgMqez}0|Gl%h{mhb1JE@8~&
zHywC-DB#6%K2c$M4*S9&t}`sZg85|K%VcMvKwDnWCHI1Ptl(|%p>gUO#=2n}eba~x
zVLjFL(_sskYu98Yv)=~h^!&!($B|l4%>7r`&;Kv>wT9Ou_{|pPY-3^{_LKw-XQb&Z
zDT^4x*JbKp6$ALDUD5f*NP_R@l(2*COIY7p^4Be4CWzAViRW_G1h&G@-kLfqSUGp%
zx3(;1c-h1}Nxr861+KXf@$IWvpG4`^2WG7B<htyscy<k-i?>dx{I`xNe^O2i;ADra
zsBj6}Aa&3T9AP>hw}}n=X}#Fo;(+0!k0nNW)qp;bnzmiGjh%b=vHFoBHzcTVuJ-I!
zgJ|6cAkNGPxarMjS~0vJH<_<d)ujrpDKRg;?O}p`eY@Qcm<8amonVprK2`ABx!U&U
zIWq(-^N4}JAmkWj_-jq5z|R}1y;^RpV140ih~%sgsOZN9yuYLZejQw%-Gc03*jntP
znkNEVH}pe~=&1nZ_L!vA3I_~0?Tn2G5`&Dm%JPI6B4`YT85{C)!?_2y+++eIAR)V<
zjJJ^pe*8@7w_JH4@63jWafTF}Yu!ENoJ9n6*@pO>5Bwm_s36-tEd#vQtQgoX6G3Pl
zTWhu!gf+cf?($f9P_f{>=5dn<_JP+}yPpez9fwpfp8^5SXZ7w8ZXp8K<x;UHheRM)
zWx4z0Ek$T%Q3y?ERe}9Mg%#%sV({lxgw%k(GVIguVi*fofwn?!TNO?TxR}*f$T~@c
zTW1}Fe(<V-n`KL*nuHX{cNg-PG^qkEeCy5ZH&swd{-Ij9O9tc`Gt!Jp)WJ1Jzrnp<
z4Qlpp(uN<(L9MM?(BlG4Fl{^k=Oa-A#B^g))bbS|;hA&f=3Ol)-7YLmc&rI;^`5On
zED%6!D=6byJq7x8TF-=MYQe!TJ_U>il)xxpEFra@3Ky&2wNc(v;2KjUHvT~wY~2bh
zu6(0G?uE}c!gOii{L||=yQ>PU?dI5h3~58dA+xJGwc0>b^BQgW*Kg_jF}K1?I&iQN
zw?FTr3m?uU)qX#q4n1l7iD%SxVK-BppCahPw|$AsS3YS#ZC;;U(hXe@`#f!Z*Uk_u
z?`R)6rBC`d#~-!9O}g-u#Y$c1q%mB2J6yMYN(<7@u*P|1>O#De<@(u&rttgn;MK2}
z$WY`uKVc@L3!S*8zT2!hTs2)RtM{dVfU@GOfxQlheTqJub`8M0$843pL;+}Z+&wI(
z4Kl~w$w8SG5U?%!@~SKq!kCgeCrhbt^^HJEOgtTO$lP82qEukm*Ohs{TMOFL2I?Qu
zEy2vIeeCuN3bbt5$4#xO!=TPxw%y+>LHL!c`+H^zWIB9wg()J4RDUF7VpcFTL?~=t
z_*bvNzft{#0BXgq7L1Wrpjh^x$T5!udL*I5<1eMbaxY$>7;6RB{IWrlO%v4LE7Z>)
z6oDl3^hy>FD|iwSko?#}9lYI?dCL!QLrVA8GcKZ5aL#;h?YyTdEXT6)1nk+ysx2j*
zPCd4Sr<O}QvwVr5kpIgqZD<5@4Ux%ewXg)KAf|QjRf0z*_e-8Pe#CFTk`ViY=-^S1
zI5l(h-<~)%jjM9b<Cjj3I9)TOgGnZ#_RN$VklnQ!W@sDu<%5scj2>9PtA=M$Hw>h~
z$>-p+izAFk!_MB-Qqcl3F0y^hd?XGBqJs8B7O@~VZfOp-T!6%@ylqJ*M1aTDd?&=R
zp*o2%Q&us6Gsc~I9^QhW(Jn~yC}T%8*FyD7$QbmdCEeMh&I_^XbG3ce94ID3?89Lb
zbJ)e^!@(}V0o-ZDdzBM8(22<lvqdguFmi6Ra3ho%atCdjK1Xn%tY2m+cTbr@{;eGa
zPN`eiGV@*i!$urvKlz&cScwU+zpUq*=3mBATT~^|ezBtm+sk?ly~c2P!QkE-&sl8m
zc4?7J0z0a3qOTp7GKM@EQSaQQA?(^w_3<D%c2qs{n`Y~41ftDi>^yv*un^%P7n#>=
z=)ZJ+`jZ+%D75%>?ZWOWm_+LX@q|P+bo7Y7p$3N`Bs4jTMH#=x4|Om`sJO79sO?A^
z@u&eTHR~N7DDB7X8gje!fejf<Ap*4PgHC8r-sv|ZxO-%?T>DNo<UX^~s7%ubCy@e$
z5Tz+R_(B<vS~MFXB8Q38+j=mclWtuaJBP>nSuBhG>!&f|guR8Z9tfR2c3@fiFJ6Co
zkh);Rj(pPO3&m4)0rSOj?w}=HEw<Elyqg`dc>SuM<J1LP=dF}R>MAb1db*PD8V7Rf
z%sSSbsso)?pmzAmI^Gn&I3F3wiF&g88A3#KATq(7g@0fZkJyZ?-kHpW292V)xr?-c
zxy!uxxda31Zo)ncG;*WJp)RL<?SKEriUZ%86(cgO_7`~~%Zns;x#$~p(BNtBC6BAo
zOo(iKM*PwPK6H+olE{3N2JPm8Y?@D)QR=S)b*lOTNM*y<Qk{(k*I$Zgy0Ne#WBbS*
z1hOFF_wO?psiZ<~-I!6#VK!7XS+6sN2_bpoBS%yAQz7AkcIuxm?8tyCbYdt_7#&E7
zkT}dk1-C1Qb7zilqRb1Qn$FaVAlJEkzrOz{Fi?<v^BpfY()b+IZ73&(Z1#S7a)_4#
z^GCi*J?r5?wyWJuRb}ERmSXnnVgVV1bYhCPaXwV)7TOx(B#ADBjJ9<H8D=YY<P9Ac
zK=+UExNk{HqfHOT#Q8-nAZJyC5YGvs#DI+ZPdQ~#XJGL6aa;>{L?3ZD*9)O=hULU(
za`MPWKl>SHkrr&0Dk)8D3!@&sOY@_Z3aI}li}K$*EoimY@89PuiXJ~~>Ae1vfHJgS
zys4<uf`TjiOMmu>AvTs*d{P7@w5zzb;>v^;G|Xm=oI53fHYCqapi{~ycTuOw)0PbS
zcDq!0HKfoN#|AR-ClN&oWl^-=lA%R$GUMH<G*Zi>SW7vpqQa?x_M>MgAmuszK5bYQ
z9bGQSjrpL40ywfYoyb%`r@mI6oRmijJ6m|>_G_TdY6@3l0~KBt9LwC#MnHd+_SJU(
z(nLK4CyCm=G)PKrn8gW-XnXRb;LuSm#2Yzt=CQgqFb4kV_pwnzY<cVQ_Pu1(dApF~
zlb{Z~sq#vR2~$QXtM-FWrKrffV=W_8S{F22r5!_V6H!>7nsfeRDw4l*&o$ac5BNph
z_P%+mf^=U{Z;Bew(74clAsN^8;XrvGJ84c8IS8efvSriIdtKVkAFBpHGOPLG$*GRY
z{3<`~>ZYN;=l7n=I&B2i{*Lp<c{Naa6iRdXLHqX(KT8F9O~9U|{(9e{2I^528oE(O
zL-L`!){DzcLD$REfY79g6r<l+c)HNgOgPu^F}gV@)CUH2?Ij_4x|^a$BNh4d+wz&e
z$KZzRyfhsrp%ufL>!zP5s8*vP$fOv+qkDaTd!B^ubJ?(5@6<wj9KH(<+FO7{lBsXV
zI0>EBpW*I3sfkz@-qv-0vw%y#mZF;OkdSqQoF=VD4e`3{dO6`p2krlUYsIUQP)p>)
zOFX<PsNy6^II-lP6FW@%Q$sXSwXPS{T1N?8<1@2N{zivAGzY@lWDTVJbBN65t$-3e
zv_Hkq(qW#%m$5fM9i4D)z4&L3G&=m?xpK%j9h95n{BlTYD8KvLVj(7mQvOqA@qI&w
zTb=iQ6n3kiryG;(`%47Ti`EeVxePjN^lSWn>Pti#h4lnpX>KH_w;J8BlMZ*qznnfi
zri2E1p7&{Tv!K$1M?sd07I5mp?K`mniil+4JR`2Pf!`1}J)W3h0ex;X$>kXZ6#9rE
zJjQ1pXHHd|Y9(2~FztDc|E3(eYW1?JPIwrPa8z{cMgU2}YX8mZ%OKJ7N!%wpx^WYx
zc=lh;03-vNz{eYsDB<viXzlH@n56Wh6D}PXNZ$$1ah4QEHD@|H_piOd7IQLRcTSsw
z;D<98d*6s4mC4W3CB)Cz@B_1ed2w?HYB{Y!uMk3yD0gfx7=6d$e0Ayvtj)mAZFGm=
zQvo#Xcwwa@@F&Lob=R0pj49A^4L_xf@}eHP+xmj%PmCjY{b6ja3EWSxo@IH;g`69G
zf~l$BF_9t9`CD_wkaXi{=gXh$=!A>pa&q8T?0>Qs1`G6!A-aoIRLqqXon|MTt9Ji{
z6_F8#XQB~wn)X$-iZUZ7#}TLRq%KS}_nKm1w;>FSmJT?}G9ulP)6QY7FEO7KpPPEB
zh9I%cl^OVE3+J&_$acx7!(w-S^chSvfKannedAs0xOaH$rr*Q`{Om{t^~9h)G@e^*
z%z#zgLS@f^*B={j8)Hk}0&9J6@mjYE7Fx!|z8Ch_?Qh3v=1WHQReF#qp)#swx`=O?
zwa*sxb>l63M?yhb56%(I{-^hN0dGF)ue)&m3oh#0*6#W5PObds-P#p7k8id`p07~(
ziHF|I3yWgZg}}azxUExjc<;rb>N)R0yiLN-CH%AwBq^(GXVlK(l~<g9RZ@oV!xhJB
zwU@Plox{|hq%@1~Z!R~TVIIZD53+sBi_!+UKj(OiF3#W=1wGc6e*M8cc)Yr^)@kr^
zm6AKGID-eulu&CvOyV&`kEue*G%&I14Cv;c!TT>Aa4q;YgWKJYURvR$!6S>}cXjqN
z_zUxoj^6QecsJv6oM}E4%ocqPN4}fEfA(Lu?NDC8uPiZN?$V;dsiInH+KyTLl1YIL
z)8Jox*irkwQwjwFgsx)0-_PQCCJsFCbP118+Q^A|OopHCEy=CXb2vfhf7{DdEBGE}
zwmkkxEjV08&oQ9S<L0_|Y)3lQ@c&NAvkI$gLC@Wus1~gS{Pab+>!N&{`1u*lCn<p>
z;2rcAw=w;T3lr)L#}c-2p7A#Gh<Z)fA>QSp6S9auQVg^a6k$Y~U#jSf|MIAqY8r=o
z`x35ADV|?D$Ao%z?Kai)(tw1rE%ycc75sYs65+fU3$l^*y=v2}4jD!~T+K_XxC@h`
z$c}fcNbjW|=S6}#gx9W)e(hezKP*Lvs#LI}T|VS_%d2W2_;-DFtZx&)_bO!6<`E~7
z{Mk}8%%leSCPUK9f((ep?H;5#!;MB{wR#ugRpG^*43XhojL7)4xODj;K2%-lJR{1c
z3JVdWh4LyUq|T&4k4O<frXz$A$xIc{+OAR{P+1Twv0ltzT@ck@^{QT{s(^FPcb}tQ
zSP{+PYcp$xFj6rey+8GZ2un}<Pk+42j?6vo<W4$^qKfq||M{l=bD|ngFkcxb5@~ez
z6*3V=#_GxMBz6-)RMG3s`Uh?lL=ZNr*d>X=SG8ZO5{VGX7OdW)$A?bOn(gVoA&p);
zm>l8bBSMQKW6wuF0TlUl=i(DCIb?c6!K#&)2*aF>i8(!jNZESg)hSN}^p&rD<CQ8A
zwnFEN!ww6hV?_eap8q2t$;XlpsNO`-79M5G5D`UP8Jaz~rxL0)x?I-YL<F%crh4%S
zF*J8f!{Id>5yf51)!+dYxL_!h^Jz>1G1RCty#AjGQg~VEX}q8U60ECfCj8P!AG>O}
zRi%a$<!e~>{7?nE(sT`_L$atbpXmg4R|9pwuFqU!Qit;Uj}Kq?DvuuBOMCxc4GDS3
zoqBU5L<4y8F5i_kBcKyzxBiy4k&#r?p0*`*5`=q;`?nP;qUj4!i;lrmbV{Hn{)aIc
z?48ohrbU#Ih+I{>UN{YDwMG|Kxl$oYn9)u=lZc4rQ6}H~wGpKuY4&sr4SpyyJ0Fr)
zMITF@!(HukP~UsaF{%AJkmVFA>s+CR@;*IMHeuF9HfjG`ex&j*4^Q&Cbdog?TlLv0
z)~mWmv$|<3ThRcdlMkeDmS`gQ&@1@<yDswWD_YO7HUj$iKq*=$A)9N1ilGC#=xg)F
zVBR?sh`hq+Q%EAC%LOt@pRenp_Z&7mlHQvEQHfV%LXCo$pT{Yr|ItC5EH9k*as#Bj
zdYS1yL_s&RGq0GBXrq`J?Lk(81?)W*b&OksiXfNsP<$#4dAJvs$H>tkcr0~u#(;{H
z+7IkY>!ct@nQ+ytRXUtZI&2ptNku!p^+Nz32_?04P!uXGftA8_*(9HW?q8M~<YZDq
z$KJ`m$=9%g1>s1MsE1@!LV4fX`dJCNcYWOTJK735n2)Wlg=?X%hu2p7!{m|L%*6!7
zOe^SQ$@q5muO?EB=rfbPEsk6nNV8$*tzevU(VE#@12HaTcG;g4K$o05esS)$f<Rg3
zc-%`372HjW6IN$I-}5{&UDhn2e1|cG^{5ImlvD@_51hxXF77O5x?&0VtI+X-Udo7J
z*E^p}P09E$(SFT?-x6A$aLEq1DI$Np!un9#DXidj)~!bu=pb@sN$~YP1tgbu$t~Ps
z4Qq%g6E|D8fV|zgj90(Ppa7la2Y)Uxg0h!O`$UihJPP~SL7+&YVecQE(=S+{RHR%x
z=NCW?gI~!^izxaL5w^<7$PR4JU3=9%0eC7_>Rc}iA>X=e8HH0E&=nPVJD~=HPYqVb
zK56lzzdhcPOHQ0{Uq_4M#}jk#D9^Yh+0Ka;45Cg4)^dVN<Q}``4m0TR^kjHCz=8x_
zybJuFa{?0aSeYF$1?R5U6K*FN&>bI@c1ji}=twYztnisa%EnX4YZEIt%V*u1DSJ-X
z$U0P{VqpTOb+epyy_&;gPK&l3pWpyKjj>5Q))<b5ZvBkFM{u&hLU!pT4miqd7|ZqC
z2r{3%58k@{8Mly}6T3#?fCj$5P5XHN<<e*0jwSmQ;lejgsHF|FLrLV!6rYbFY*>^o
z)hNBk<U%E_8Ee@=c(ORUtjPeDzt-!QISgQX9*cc=n8OaN4T0+SWDFq3w(oUX(<rta
zZQ)HSWCz>eQM<<Ee-6!@K42L)jZGYBjFxX_haS90`oCE{s4q^NQ`$d|Jxh`QdP$fA
za$X+Q>+{uvyV=B=1fxYv^w*_@)npD}x__$wT(2$+jMU#Bm|VtW&sM}gk>Z4FF<+k?
zbk~KLiORD1xHarrU0Bk{S5COeu2kUiO$RP-(+uL*Hn3Nb(v~GS7g#M>EFbXJ0WZI{
zka+)XEUz}tK;k_&JTzI~ab{8*yhe)Sa>p6Kc{l6#tK7VxvQ=l?bXFS%w3Ln!l$ao$
zflD<uoDXbv<aX(bXv4cJV|RUhnIYHZ(5;s&0+3E{kmISQ!D5BTkZvUlOcZuoy&Dw(
zm&F?MlY3|oJAGx#f`tuU_E`1*{w)Yca&xlotWbe#J!eHAm>n997pfSn2>~(KC2pmR
z3i$2#RK6(=__E`m84pPWyedCxbo_JZ+aV99jB{M@>Z+4Iep(bVTJ|tp6`}r<e+}=n
z0S`!)%<X6z6$2}O&pme@P+(zSy2?Q=K47pO+YuHa0qLen>#=kSNKA_zlHBHp6P0<D
zI~1khc}|!=@edgUWiwCQ<q?GN$%>@xd1<IGO^H5QLWWT7{l+|GA-K16H1h0-EJVvm
z?b;De20}D}+vKP)Fcn5V>)w)wOVKvVWKS}5uG#b!)QLbIn=u=M905|^`4L|nB*UFP
zcGF}jG1$P%#ipDTVK1fgAXgk2vTv8~Wy=!>j)SwtwbzxvqPXAVI8KJd_3ejj`jTLr
zdpUjQure4<d+DVSDbV@s{%)R0DWFIm>)^6e0nrOwJ}HkVP%KuOM{1D)M#retpeL#j
zDR4Q}%8&|;0m%=?%H@E2J9%TCq7K%I^12&U|MJznAth#a1sLxdJn^Se1NPrE*_#eD
zxRp@TPdiG0e5)E3TQw4-RuF5rW@wN;CAs^^Sw&zU|G1f)s|Cu{SG}a0wZYM*q|D=%
z66D5;E}UN@!;H+f{%W}noMtKdBK1NU7FnNh^~h1-9&LI_vR)TJA$d>VC=sk@#r)>)
zQ^C}MA!_=U9(?qOO=IU$g|z^VLLoUCI87@3&CxOd5ci!`Qc{B-#R0xy!8FJ|S`}E8
zZU`6H80lLib$G2E_x@BS4a@>xYpwDaL&WFfVr>c<z{S33VRDTIhDRNy18<r@N9y8f
zr)3RL5q_p7=S~BODIEm^B{Q(xkmNmbPZKnMP}RN1sGwM~>BwDa4wsGNkUo_JEBEc3
zDlDmxI{bW}s}KMO12w!Wg#>TtstF%HlR@z_Gs~NQK3WY`JfBiVf~3?%pSK+(czJns
zVAazC2KJrPJC;g<&-ahr7Z23{p=C_isNVu=Ole;6MkFA$9ogObQx$TSIU5;m>5%X5
zXTnsa2~nv}!lTrQVC7@RV|bko(j3PW4W~3<YH{L2UVtKe->AyAY5C_$pI5p&Hq=4Y
zYCqRpusjHF-p=BCM+bpC_cy->)u3}T)Y8~i3goI^=hxtL81sMb-dv^%%WeIgac4zg
zr{ufykVl8d_ZU8l?^XfNy8>~$)CA#Md&NC3UpnmYH(+r1qx{e1b)wl7TtK)-%pR5a
z=T>|R?Tt|a?cVQ9?}b?)oS7J3{K5jB@oUYcuq%RNi>xZ6@Fqt7*=x>u*aEbobG7Yq
z72rnO8O~1|3s})+e!KD}05bX`%N8sL1o}$~7X1gyS?hQndjo(mg_l+4r8F$wVKX6}
z{ei8K&3whw09qU6GQ-Ry;fPSxgZmd=V>3jVn)PT5b{vyse%2=j47chB1U>fPf%Dlp
z_e;#7cA4`n+kFv;z1+d-V~FDiJ!^(Pbeq9wvNTIyi4goB0096043~F2)o&EX?Y*xp
z+3w{U*WSLzDv@1C5|RdzQdwCgD<dN$krde#S>-;VLKKR`51A2#?EUla`Qv##&+9zr
zeBN(fMW1gOPOapN-UO4IG<s0x<#H{*jRPdYi6=f5e<ELEy8Z5`t}e`>6O}<4Y*0B?
z%imMhPPQ$)#d$wa2doZ*%4;QN82HC#Z+7AXIo+@K`HeT)aNi-_R40@Hk}2f!q?a1W
z{7fYcvozY!%o3}f#7_st_VHZ_y~Si<y0PkBTP^6CILY&FiyEr3SA2+m*%(RkGd;^Q
zO_1^!ohcBfg5zFakA-o)#pcfp&$#SrKzk-@Jyi?^h>okOpR{PlR*&fYe0Wj=PTpsd
zyl%0JS@QfFd;(uFd26?O>2K9xJ$P%gWoZjzqDxgC4*h|>s|)fGl2nJxuRcGDH#RWo
zla^hQy(1W_>UK0uk{aZ@AAT2azmB!|VqRqj$Fa;WhI6vJsz3<7B^N`rhTUdM6Cj<O
z!lb0m=X?99!V6>ds5`4GSSU`f>fYlS%<<#h*pg`#n7J;Ht}eHNA<hc#`Q<r`f_F!>
z^Nb2S(2@`0c(jbwu+VFd$Sq(N`oq@sW6EHz?(b!Ncp1Z;bxr*Edl8diU)DW+Rv8lH
zeNHV%EMuJ(H5YtqmN2Hx6@1C85-i3|y5*6Uu}c8~zQOlbu>8YzUdh*#Kuv7SukqqC
zW`BT^W;T8eyBXRUMMJFw{v0y0mR-x3^FNJ7&W9TqTYiBdMH&edWIM(dPOo6VeY7s^
z(-vmOxV{-iAi>UrlJ7A8DyF_AFXAP#i>0__Ptivxf`!@Jx5JyOSm?vFlFOD9U?ZDZ
zAy%sZHay9}#&qjgvYWZgmjX(t9A&I_U6lt^MChK@*}z;=;`DlXsNsUR^TN1}Je0Ok
zV1%4atg$<JqM?8WSoG4mzsJad!28{_pTuo!%Icue$}u_!8{oPVFhqookta*Ozjv^P
z!VZ2VSq7l#7Ov*jCPL5I;JT{8J&gC~&XOyE3EojgzURo5g~^}_{%A@{a9g(d&|t>`
z^dc2azgc9##;j>fL755++A>a~N;Z%^P`#;tTL$=lSgFuNQiIC_Ujd<f4zN99<kv|n
z13@kf!@)~50F$kq>5N=p@}|usJcR%axACSHv2<|D!_zY09u63<L=dkM_v;_Be)=6^
zfb0ryk2|_NV7=?jvE7Y_xK(O*2?Zv=QJ=8NVC4gr^RrCV(Re7URx|21Vu8V>I>A_a
z0SNS#c@S-h2l;ZTM7?-6VEAttQ;-*eoL{e%>IityJ9jpT_cjLz;TEP;B80)X;p?w;
zemoG$!){xRaKbcJ@3KcF3dQ=DW_`r*VBB}d-0TDnRNDvl-nxiE#O4#B52kp~`ta=L
z&Js6tG8S$7eG>;G^0#uMWIPnd+^aKq!3+1#pO01ZkObKzA;Z=kJUns)v6>WqpuHbt
z>dPt(P3?nY1NR9asm1a=KT8naymWR-|BQ!{sMe=X-DE&#aGbXJ!vWyexb$eEKn8?^
zHRPr|WC0b2;`s$dz?{{4oaHVNgujMJekvrwos`QCHf^HN&uQ8J?WR0LX1tE8QIZGG
zX~7gGK5^*gxKz>LrwGq}XeW#_D#Ax$dI^1h3CI-`I&D)<f}BCPb0M1qg4I{z7ltIk
zp3&6zaHbLz8`XX299Dv~&8*E8D`{w+a;-MMqzq<cTJ8{Q6_}<RTWo8=!(I*xW0JHA
z7){9@7FbXP|ET0o{%SICfh#dj{k00nJ>V?btXBu>rikg7ELo6iRCzqhsS0T;$;$Uj
zG{M$?&D`)85rQRF<6kJK!f+Uh<*CyKU-O%{dvNlg{D3oHhe{Q^Dp{x$zUzV`X1q0w
zQvh++`1O@&75F(K|J!v{A4aOqJS6?60MkXa@)h;U@GpvY%q0>){J?H)th*xg+lrY<
z=O_WKPAxwDh5^tQl#azeQiNuDulWXb61;kQRz1$f5azCHUQLWsgeXakj5WMG950#Y
zATSugMPEyHBS}Rl|H_zU94`Z*g^Sjn=|=ECI$52`M*+0?zI@twD+LZ^go%k2BS<uR
z(mQoQ9=Ip2nXmp5gVdL;d;}R|FnjG*&nY1X!=*>`)0_{$0UsT8A0=amEl|qDp2))V
ziq(j{D-W!v<{iP~j3KlwW1x1G05cNATY)$>cwoVpX!6YnYRj^FJZ15a7tzcnI7bD=
zw1!Du!A4;Gb7peIObQ;qxvD$a`VTvpUDTt;ZUjT^C&$D+B*3vJYk9NuBj#gX<o6@p
z5LDCV`SioZKs7V{d3??|xq0i_$53uVQ2!ys+h!#KEz|s!R-H@a*@O5uUP%T}nkSsm
z)hq-7wOk=rUAD-tDYuUgGVa$syU*2o^20h)B|Fz;3N%rn@=y2<!11?*Yatj9T#i1*
zV&y=Eu8#8DYNQ3Q<^E!2V#@`aR<B(DOQJ?B&kj{M;4oP4*PrP%V29_lA!Fh|gLsdP
zt&t`5fnt>@>Z3gq+<5k-IXIREnRX8L(|{fXQ`0iI{-lM|?6ndyF*L~S^-ux*SzQoo
zS?TrvK?wno+X;{DXb>S_=ALJ&4sZ?*oh-V(jSW#=|I4sPjg$&E8nWB9!CbCmC2M;H
z%c&RUeVav%Zs7c%a4~5Exu{r0Q*{Ajs4JA4RHR0f1J(xWHd?^c-hP2zU<!MLeOKIU
zr$WxNg%1LAHR1HpumHZEADB61))AvCRH%-)?&G|y0na+<lER0Yuu#Rgb|WGcDthLo
z?_;F_rsA7{g2Pp0qc2XE1UD(s>>bA!M=I5!th2&=*|~=t!k&`dGfIif{`Ae~@T!AH
zL#Zm2_Aoj3@xdQO6O_oi-|&t^q#ArFQ?<y8m>`$^IW=cQLxmnln(^fQQ-!Xf$Mz-u
zGi1qLC!q-gDwKDIiDBZLDlk4g`RpFcUvgUm-)`(9D#Yyh?NZyQ3S9d2)?r6skxaFc
zLF5&pMtylz>?*D*@ZUz0*oxi~Iq&85S@&9MM9n=~#XPPIMV|*nS9Dg$Dxom%c!LHh
zRP;8OTvUel`c{=fN^4}CSIpv`BQ5eYk(wM>QG)eT{bg&C8)WgZs^xeWI^^?;(xW44
zf8PwLKFmG1MPAQbs67`;k1ER^$w>$*L5lIiW37@qWL*i%5#2!sq?>plV&NqT{^738
z4Cw8V7lVV?H;*$R(@<+<X-$IrhL&|SwG_x{E#uhtEoM}@b$7C5LJ@*V_l;ltq(n^4
z{4I`OSdrj4*CRE`ig2n&E_ZSNoxdI8PFa0rN2mC*+2`XFz`pucNwYT%N-?^*;zi4e
zF4}+mM)Ox5Y;0EE6Z>e<xvIRz5?wBIZSfLkm9sqbe-UZaK1q)}w4JVN-@~C9W|hdF
z-{m0nwANLwJqEOQtj>g<mIu-KvYmP8DhJ*_r`o4mm{8rD+yI^jyr_hb6s@>U1oeLj
z`3#jTXh7iL8$Vlql**T3Ba%mime;X*UCnHW>)jJu36db12-XeKa3aE2_rr(#A~;ad
zkqSJ&+5yD&_hMWsfe7Z`yAQ|IaiVl|`Wn-jgUD-Tm0ZM1gnNw+y|0*X$Rf5{r{a_-
zI+k)|&WeQy4)Uyf6gRlhBU@_S;9M~@+ijik8Bc`s`5H0XdpwA?!=Y+tRUGAfb#@p&
zLxfL7=|!}Kd?;LdTfF0pB(ltD=&x)cLPOQKrMiy*nhAX2^>soDrPRC){%a`*)_auO
z#&$v|)j2XjIslJc-%m7_(#ylQ8!GOnPY5IGI6Jxzf-<N@ux!e4SsqN?%9VFQMG)!e
z=aX)&vdDmjGc`qUzmH8P!;g=OB5jBD1)g9zl$>(9VjUxahW^>jDGqUTCFNEjiKu|&
z4+$9bb1Ok_lAyHGQ3>?<WW=Y<&x+`hyDiT_Hf5j?8BuahmPGM=b|O|~BqTyC6t|LB
zft(j}(%C<xP{yBKF@9GiL{%cCH+4l7gx&p);3V*<YI^3>=9&^p*BGywA5w$j7d53{
zJPC-m<yH4JZ)Ftn?d{HEFAYfY6?yP6M+RlP-_sqeQbzYG#MdbJw7_@FzhIXvi*8w4
zMa{J;Bk8H!i;w!XA^g6&d`k-v6(>}x6g*Z&B9A-+5}xV8hNAKzo+omsg!%$-X)7aN
z#mKig{`wF-eS=lRRvvvnp8AcHtb}Srrf9AU0#ww;9sSWJk1W01R^y(MkY4M@(;jmG
ziEk~uim4S)lyu@dp*;nZwVRu`P_&<eDL1ZCY{?_RjV0;NmU1W@mFG1bF$7=R$cff6
zdBn5btk7;NgJ#b&-=A$WgqqIL&Q}NI(F66Ypgz1ba(m!aW-o07e2R?%>gIBY{#?q2
z;hZ=++MljK;j*8bERVB}U_?~uhj!e9L=gU1e8P;M5hR7x-&v-RMSrfTe7<~M08QXu
zu6KDDfuq56Z*dj@^*xYnIR6QU_?3Lc8?}uf<ZRz+E)I_phMu9OFjmx<R?i-?ZU|>n
z^9BwEN})lGcb5Z8X%H1_8Y|xuLs(E}y1MaI0{tP58v9#ql6BJBWG`ceKt~umC@3$E
zvZWd4^`Fm@1%7P=&vzRDF+4O|`>rS|{ou+`yVXg)caXcm-o*gQ-#?<fIWLTEU(*at
ze%^&;ICAJ!{sK5Lhn;em*`Gt+eksQj6PU--#Upl?0sc0vf4aiTkJdd7vB(|xgZ({E
zjF?-(phBNuGvvyH$_uNP%2O9HIm-tHNz54Z_wGDPnc_m35BsM+-CV*Po|p!4%jm=2
z_&`{9E(fwMbXhaLvy9pP{cyy|LJurk+@gQ-vm)yVWLiA3jO8bJShoh~!p^eQBS(8i
z)D`k6o>0AvDF(FtxKg46Bvrn`(Ir|GlJLQCM0Oeb>+PYgIjIeT9aU_EIVz;n%dQ;c
zvV^Vabvg7&X~XxHwSI0b3dAJ!-S+pne;9XAlm4c+78rbLyJJ|iMRs6QJ1gt7h)K2x
z-!!Y&g!KsWIc1+U^26^VnL9@NUdETd;lrv4T8Xzfa$YTw6C@;6jokiX3Q=n7?4BAB
zv8FH^dTD{Yf{Jm&)^nJxUy$ZlvpN)4=v%dl&yp{*#AJ86|Hib#Iy!Qs)!~~&is%8c
zDKh#UAMBVrjde6rh*Kx3K~>pN0(a9W*^06C`~dSW>^5;J;m3w5I5%Pvt7C)YxQN*U
zS4$=_p$O`{zZX<tLX)vKU#pjVCP(#SM%V;~99*4vhE?GCnJ@N&ouA2qA%!_{G2>Y4
zrm?q_y$Xal`NZelZy|%+5wSP#$FQWyouJKbWjL#R*4<9IhHNm}>Mfu?hMmt$3BPKi
z42j`6FEfR6$jmLJS!VsCm|ahx;gxSn5V=X(cvPB=aT<EAju($&&h`vH2b`2(?GWus
z@~c;v*O%05cS}dHvEI(>sS_k9_aqk;Igqi#jURl4{u{+I13d?B`H`SFZ=~Tj(|c^x
zAtJg$a}2x2ckom?B?%<{YJ8)_wPRE@%R1=Y7}g;4#p0}tB5)V%FdrKFj7`q=1rcwI
zW2^nEq@?2tpd`weZiKqAvZb`6u>WuS-Anx<qvhenw`%Jz4Bs$~Tieke&rf1cZ2TRB
z$a3KH>|*vWn?5YPZ`78#a0+`m7wxLKO$3*Rk0g=``Y~!NGH#e>zb{Gbmi78XNUzq*
zuwxv=Xm1-kKdza<sv||P+jnGPw!FU9KV}F!_g|i#Mba$R74>T%_^S*EIL2nt@chJz
zm(F+u<o&@!%Z%b<rDQ-p^i3;A@F-^3ecsG%eja;a^SCWDgaCI+-i-Qhj$t>FoLxg;
z5ff?N4$thz1E2QFCy$H?Om!iM=0@2+>}6F!Ot2On?$=lxHMF0?Y=?a8hYgmoha&;H
zTDj6NY+?PqRA(A1EoByVp<KmQKi$>*%qR^CQ~iPWj{e3P>lXL;7uK+2Dv_98pcE{W
zaWUv5&S8pg{=58=YZH?U$T^n$M-qg`w8-vs^H_UlS^kMj+Zg4MEbakMNuX-Ny~`U~
zz+U(T#`H4mVb`pl09`<$zdC75N<cO^%ygajhwTn~O`0xK!28Gj2Hoc+;Bs=0b>P+#
z*6izKY9B`h@_Zlek1UGAK)+CA*@qQuggWbTq!|qi9Q)Z-5-twy*E&6ak=L;L*u2M*
zT6Dm-O<kGBBM$Cir?)ugHn3+jqKwoh89<NWdoI@tF`(<Bu}-tz#x`k=xt^$If`yai
z3~%kk;J|hDBIl)DZ2MB-^<fKENWQ54#(Gy2o^`v|T>C=-Cz#L9pW)$v=5I4EYhH)~
zHJk27g=i`;qKY_v_BkiW=l?p+<tqw1K5QTA_wV<7p6zG6Ck`GTV!7X>AqrjHhxBZ8
z>7e~V@y{Y_9!ODoj|*fKg-^cB%@M8)AV)mA^2Un~NQdZ@Vkbm^w=qsZ<qZ?uwxE%n
zZV-UZ*P#lg-69aq!Nrk#j1@YR1;TAi4uIxEuUz$CBA_T?H~)l>16+C;W~f+1Ap1`9
zUK_6{q?@r$FBNe@zpTgh0HYW<bI0gL*^9!{p#%TPy5V3%^2_ND72;4FWWw~XMii3F
z*pDh0@qnz&MrD71B!pj@i4-vq16SPn5oE&$pwK7hbygZq&B)XWZ-~JRrJ1Qyk^qbr
zAHCb^Pk<N-jVYFCame?3sj#>s1os|CylW|tg|(l{7Z37D0_dkGR6RNfm3FVw^cLm7
zX2!=fG+7FEPW7dIuN4J~gIoA0J4K+<oEhgojR!(ZbX1wPI7}4P><;}T!4>x}PvjG2
zU`E4*g5|3OFj<}~$MNm^cpuZ;LxLO-va~<7hf0A^9rbeyqkS(H;X3|PLlM?&kJa(-
z&w&M=`2?GjDy&dG%CL4*f?dwAK!q&=d~CQsdEG({`kU;OZ=6*DTE3KY&Ns5qQykgy
zm{lEIs<LExo~gl!m?8DR%W^QjZt?YUtU6q!mE*jAKoc%5FnpU~Qh*X?ijIj2b$DIK
z!kzO*8{9{)(Flj^^Y!L=`E5US$T#8a{pPO+efD<lV<$*Z(-GOY(4q#1Ypv4ucmcxN
zJHPgJk>KeOJ@McIRk))`7`g1Z&nHdoB1u9@V3QUVna!;NzfXjv>pw6Aiq7uunyO0h
zxM=CcNpU5Je;418SzrXR4A$c+eEW5~Kk-LC$iqyl@@uXjV`!5<R+-*R0wE4BGHH?k
zsJ#9RKh6Yjs?Qhgbx3gDE!!h~SOWOv4n6GjHUY!f>Gzg&iqJb<!*TdOVKC__H4u+A
zfx1Hlr-zN?A?^^?Hkrr`(dO7wu}dZ};rzK<5%%{Y#~+7X69zbu77+JZ(ga#wP*sMp
z%D}mVn;%7`moW14SP`unW1y$4O8xg%8q#P@PDe-gk&D-exA;lMV8p;$?(8lJebo&j
zp}iaAr9*|?eVImZDdf?!i;UtxjEy?xI!c4^OT=XF4MR|N8@uilDgsiLUnZOvnGl(9
zeTUi65L}~6QvV4E!Ku<;45e=D$g<>GkzAbta60ikXIbKf3$v`!PxUyF^0{>TW)TCp
zvTp2ufeQy^M~1Jo8E~P~CVQ<32>|!i6UFm3*r4!A`}>gpxX|LL-KZ-yfGgKAV)i)(
zP_HpIYbD^&9WR%ALsS@qK02P;?@a|XG>)BT^l(UBbo(m>yFR#@R@J-EZ(_-+r$(0K
zaOjfNt!hJAJ>b~AGm?9F0n<B?=O0LiLqo=1gQ0f1a8Nx4ZzV8{#XO#V`mL7>aU__N
z!ejS&=BE9f-{ooK0{$Kv(*iC;463I-@JSnjG%FS;yoSiGz76jG0=N+Ao@I*xpEk6Z
zn;#<B&XWJrj=HFQf(wmZ85yAR(E^sOW9xaxmdJueKghC2xDXO}=a&9S6D-~jI9$8B
zPX1ghC`&fyLc%_Mb#}^{&{Umd7bdtv=6&;tBzcAlv78b;SD&W=i5&BlFUl#<Wxor<
zzmvI;4o@cGEUyModFNeGEu=!n@_xA}_i>@Ba}3kWsp`OGYU`*IMuU0`eHhwQa458(
z_-EL@*GGlKMI`9cA)L{K^r7N?e;oNtdY-2Sj1S7nEavDDmss_4VQp>{7~1&vwvrkY
z>D<euNn%7y`92TJ$GOo_ewmLFZK^P?ruVf}jv0COn2T8y@}N?dDADKpzV8&&m)Y3P
zf;`yR15BfMk#p6VS~FHvc;NEvo6aRRl#q~h_0LT{geCnev94DEk@ExYL#!NVSWhD-
z>K;F$k9Ha0@l}DNkMYlHW;xK|XI7GSNC0g<yq&-xrvePS-w$N<a3V{qhKI3CLTLSD
zq;1KfG8Eh73LCX>p|(-%n$hJ0D0ZsyS2|J#x@F4kqfI#E{JCT6>Y^~RVH*~?o}~<=
z#QI=~&)jHnth}Z-K?Ir0eoW!GsSG_nO;_n=cu?EK&r28cMbTvS(`oQl21m6_FB)z>
z^x#`#Z+)B?s<oPo*f^&Q_h}n;m#p{^$<M`9C`=r^;iZx{^izftWqRK)<_Msdkpp5k
zLM0HF=ks{ASY<dit|IhuTM&&(8}r#kOQQbLrq|n*%CIGORkzmX0E!XCbJk@@Az3q(
z$E`EUpeW9-O|c-1c6HhPCCa2xobHYCR#g=U@4}}hMv9<;781{e7Ce%#&sY>rRRQ)h
zk?OziiK5G^>`zL55D?zMFRPta74Y)&6CLNp&`fj0wAr)_3Rhv&%1Ka#w|CQ7{f)&D
z?y2JP$ZuIBR6_j4M^ppCk%wVh;u6Sc^gyH0AQ4@>pj2cxtOkAN9ZhUhl1M+(Nb~7S
zIb_`Isyq5j9ZaFcXL48)vAv#q@bZE@(%x7wcz#O*{QClXj9*Kk535g?``6`>QmA+Q
z=PR19`y}IK%x!6uynD$p+fe}xb#(;X_tS#2^p#OnCU|r|@vbdJqyoy*@$Nerq773o
z6E7sL;E}E8!ZQwE1r#wLyq%n=1D&DcEG<a{WPZY2)I~@Ev2=7f^yceA$X~uzehwK#
zs(C3Gbz2@qy&zGGz0!kj{ws|SuE?N=nb(3ci{(%U(aw*qP9M<6wZOqwGRUMOjrv?N
z5pDJprs&Es_}&?7i0_s`cLiuK#Ouf+{qDyXHca;Y>#Z=VZrwj;&{#pgihw2)a`>M;
z1GpFVD&}*R3~FS)x-?CLM`>4@pMO~ec(soML&h?Q4PSBLww4r%k1$CYS2X||GefE?
zp9tt~gkNuuiv+sz?u87Ks{xdd>^&7p1f-HHnwc0OhV)~^3S|Nez&Rs9?CEtpnzOfU
zF*_-OY`e=h`)?Y68TMED;1g+NP9KyYJ1B%?12&GDTrq&BEsR}f>!r}h#&P=PRDQHc
zPfBESFaRcH8MnB1k_eSJCg!E^p!B~;QdGeJ()M;`^WRD!2W@NFA0u4Id&nasZUf-k
zL8sJ=SK`P!nRs41oCB%)*(kU*06czaH@;gahHT04Jf$-%$d4zKH}4uiQj3w^+9Of)
zXI0$o#SKRE`(=Rvzbt@1%T|WGrU(ja-;oH&r$eGcy0fiS7}R9q1DcG5(R`CE!!H*a
z)co{rdMi5y#rY4uC!7~T7#DiZl1GKuIX7Da&gp{{b=T<eLIIRu%<3TSNQpkCXNFh3
z)dO)wBJY3H{3s`WRL3!p0`Z=AzPOCj19|SZw>H9fQ6=tF&X2i0vOs~xma~^Gtdgfs
zHy+?Y#h)iqW$)~f-Nr>HJ6d$0{b_Gz$^Z^^Fv@h?EZQUIdh31qEvf@^Kb7*1*KwiS
z;S8H3Q3}+~oFA(ct_@#yYt=()Igxu5ds)UK3gjrc+_X8S1uoVa*NNXbkpDbk`lcx*
z>f16bj6R|TAFp1nvgYPMtEue_y8KjVT&A9bp-K~I1O4>8huDxum{IX*MrxEm@lYmD
zTocOwoYg0^vm&osZl99)Y0#Om+x_0@8W5$R7lh5RAQhR)a$h4_v~cJvDVjwC-ufL3
zk~3gIKJ=!1kuh}WF!fte`WSVX|GE9>?gwUMOp!Ft`ima9dOuI1Wl)FoOZs{WLCh%s
z(BLx7X-2epF@^8ZT{Q^jEXD~rF{4^H<I=eWCM4Z`J7j@J4Vboy%X2-LQMvH!leQcd
z^k~;-S8SiBl0+!9tTUO>t23mpEa%t|bM}pF7Y$W#FS|@&US>xBKE<6ez;mFv#6!mh
zzNo<U-+E%3*I7^@hY623krNGuT?p&(QGu=9aQl0rtcaleHQ5fhQ0t9pwIogzz-oIk
z6BbyJ$h3?%|9Kqp@ZK2lXix^D%IAuUQ*7u5m)qgyC*1qm%{f)=r3`$@ZcTfX97w`3
zu%vvM2XWISL@$f)=R(qlHlYFzgma(#tm4dvere`^D;QOR_qnG-q@6g?E#24T+(CXM
ztMa+UrD)%yvvyx4Npc~ocF(iY{(?xOh3!<=4JC-9I4smpjYHxYU5!1`2T<D$k8ZNH
z5(r+n-xjxyLyF8#s;@2!BVDDQNY;IhbnDT&u13v+!k1qR+#V7^3FdWW)%#r8a{0uD
zizF{9!BHwPE{dZ60RRC1{|uLBAk_^N#;?7%Wbbv2J6wC+bBz|INJdhj@luJbY#LG_
z%1T2el?I`x@IMr#tTGZ6G8$6$u3q2IxAUCy`#mMUPMvwHK!*tL$FHKiR-^Wj@S!&(
zRlM-`b7r<C9ZG5&Wcu$)qb{+{`+$NP>T3nYds@@MKgfS;vA8UfN+TqC?A4K1{g=<l
zy>wW0xAE+&b8^T%cx*5tLIXK=pFfnBPX`U{fR17f1@vCKhTtmG#F(b8LmI#6aHRX*
z&X6`m^zU6~7dfegSsJlWyx9QG#q<p{u2sftT8_em0U7THy6<_|XaGZN<)RPLRB*6}
ztv4l52g3^ZCnG%>aI`g=d_!3k%SO$n1Fq|$*>^ElNlrsx-|5B(l2SvXYnIP)U+Cf8
z-h)$eFAd?urete(5q0c*+5cU=MIX1D<nO$E!w6mshN`XS)xapbxC!gW6x8hf$3L87
z47|1_nfZS-FzI+kU+fVo3jJDJ>2lKq&VL$QtvjlT-=_A-*e_Gjuq`XexWN=uEZ-B1
zCM~>^9L;u3jfT0g^P_j>%pi16=ET)JZH$ZJ{2-)BL%%0kZK;M9;5wJ(F0+-4sYUS=
zNp>2Z{&7PiH_Q?)xeZU*kCSmA^_-So02O!CUWti$Yz2)|X{!YTbTH`(TN`^k1p|jh
z_~EBDwE6E9`b_BH;(3MBviACT?=(O8Ee}Bc>oX(VqdIt0F8zBU>SD`CN`lK-0MBej
z&iHp7bi3%Q6}e1C%2ShBVG;{;>$23gKhwdu(CU|QT-x}8f6hc=7Yni+h@6<6I+*1e
z>pu8H1JC5dZgePO!KS|wCW75$B=NV;FITByron5wOP^SfZ=t?RRhx{P4s9>gI;(;b
zZ(}S*7g%t-aPwR7t=iZ!xYl)Zt0Kaa7HI*J4RB3c^r`LE!sL5xug*S^#Vtuz7FiQ4
zXlwP#WV&kN1cco4{wam!@#d1x+F0PTsd#g~u?803@r~XbE`idQo|batv*7pPx~B;O
z>bNHIsgs<aC~6*fny2K$0>i^P8$W(f#lCGEcdZWz;9mRfQIBL;z@~DONxh|lmfq;>
z-Or7IejXp0jR1M&(qWzv%Gj>&=OnP20}pwYHq8VBq=kwpi{4N~N@Six5*G<STEv{I
zkp^(ksV`c4KptN`F^oNIvP6U~7<PF@Fd=q_z~^UMWKrX>!k_50IYR13t%hW^HN>j^
zQ#s%!jZHNB#gJdq1cOBFy~Jh>qHNXorQ@aWah%ZFMA{TlUalw|y4DI@3|O81&5|f-
zlKol0aFV!F>TtI_%@ULs8hDjK0#o<08qfAj5Dw7?Z>aQIK#7QFj$yYL)+`zv=i!?q
z;C*?AjgAGpeicU-%oIhe5p1N~o+SDbg-Zit%mJf}FY1p9<3|1AD35|ELS_AHmrosL
z!2d3};>)-oa&4krav7T@jwKAdy-hQNA6}mQ9Hs(z>P@ApY}hOzwB%>gcg_?NF2s*1
zR`cQMyn6Ck!+FB*vQN#i858ix>WV6g=EdB%x1LL@EE20OdAvREZ312a)jk?Wcu@Xy
z)yYG~%S7;xs$%{oW7y=Y7DBzujkD2zxM@Lui5Gj{9UrtZ2B%f~f-lW+VfvtC+WUPZ
ztZTd|D_3p=G3_T+6XUpWB1m@j{cScpT3|2skYWU!2VZWnG2p`QZ+eGimf7*ZcEPsW
z_YJ|9Z(Vx2(8_$H%fFjGoOnel(}|yM2$e}G&QT&<C^dci`NAizmHT3KeW_#s=?^jI
zYs`hsB#Xy$fjr2T^S#pEo&jB!_Rf3>Txk1G$fie@4=cB6P&RfMfb$d6sf1r#m~1OP
zq&>io6AxXOat92cOu{zLB9<HL#23Yi>jiQ9DZl<6ZUYdnJ;A;}<-yUQDu<9a!sy|m
zWn5cGhr=3)3auQxSUTmlqbE`nPh1!k6LF+N@KD{j$|5gbxVHVn&l_U+&iCYP@i`jM
z`N@;{68yMyF63_I7jfhdUQQ<8rh%4E+MvxA0lc<X)?VC95<OIUKGp4{!DZY3{zADR
zj<fm8cHUlv?;p5~>{g_~9)nl|F>7JGE2y}um$4eVS$-L;Mk@5FZByMjE`rbEJ*=mC
zrO{a<pT2J|6~5X3e4H>Mit~<66>ZmLaog6L%I{ZE;kc^L&gCCs80fvuZz)+G)ql!&
zhkT&GQ^m70h1?Q|q5dKj8H(8UYg<r283icg%hc26k{D-oPH@Uw84t#CAfu21B$?sK
zf}~aGnf23t@`MV$+`EpITTTJFvg2-_e@S7RjN~5u8dW@0sy0_OK!K3LHEX61OXHTN
zfCvsAb&T)(I3-D^LT(&gXs@s=8b`_)Tkq7sxUMs^dkd+cA9iZ5=Sw-PSnOQ-`9c#D
zVmrA$tJ0wG#_nVBc?y_U^rOteNE;OtZ+hNLrUC24@Yraw5>_ZY(_4FwjPL22b`|l_
z!8G)IZRjgyeCc$eU_xCNy?s*q7Ypbhm&sxDt4jq}=kD%(mZOJuJ_7dxcNl=?CHH`s
zU#iF*lKt`aKYe^`;(s&VkO7ZsAGG8Os^h8j+7iRfRD3}12^7{fgt&@;6MytIaE<oY
zxiTgVM_N0T)L2H)vjdW{H?8n>aaCF}(vWsQPUe27F+{Tj6i)u9g?a7^e2VIH%-e6F
zZQfu4E<3;QDIL{Dw^V1dFTQl_cU*k&jA8~ZH>5N9!pW$j{imhiC><rPd8zHXV-C$J
zgFOemba2wBc&+R%I!1bx(Nidvu;rc0xVfq>uA8Tw3X-7X_U9@u`5sw;o20_g#9Cbp
zo2U5<rql4E>jlLf229u<&N?;3(8JrZXYM&xu5fc^@o4ErfD>-VZ?cEzA*sZ%W5=jI
z7QW5pIy(ulm=J$zEJhD~zB|o0H|pZ~`kO<=i7W`+dnzN&Ne{DsbX;5SOU5sWcammS
z_%ikNfK>K3U1S><b{uKe#HJ73lLuUFpx3Q~rRAWDu*Qk+o{~C7YD~cS^EMF3S?wbq
zrGxs<Z=Tl<RKZv|8&U6a8@M^0`cEpBjHmJjcZ6J5Kwnpz8HFb{Ftm_P=h?1}3*pLd
z-HN5LrsYEhv%m&2?X=P#$!Ou5Tko%5R+hw0<vHp32pc#-tyfrAr-4&iRclQ6L~+n}
zA!F3s26p66bG3P?<Lj2c4%T0J(d_isS0Bb$KoM8#{64OVH+(Zwa_iYqDZcfhXC@0i
zrt0kpUCDi$SJ(0Vo0f=V>m1bwhAdda*|@M*SsB;ppI+FqFiFt#*jn;i08&R6a(AXE
z;3OyeK9Ra_gdanwE`ATdz0mnvA@j00yCs7y#OV{^Ue;X=vrKqB`rBYMNg6-YTUehP
zYa&83_Vv}NFu|v#ce<0g!Xxv*Rg<M91l{zi!f7XK=*aX?D_507c9Vez)cEVn({^6Y
zi}6-47aP{}fG&>LkH!obRzGHb*j`IodTa^iCcAUG4v1nzqCuL3!BZwBxw2)|qy<!u
z__kFQ3gLhhr;T03BW7<uFYBCv1yp28*j;<ck70{9=GoN?nTtedXnce@Y%u5)j5g)P
zy&fOqV`bBcdiLAoPtVO@mbAh1%`_L%`r|p%RV#>OJC3`_l4c;n5uI~yjst4~10wgW
zYap7wdhYl3HwDIQVU)NfJI=2@9Ns$9MsPNCe5BNyz`fwH*56emoUSDzAIrWcCT8A6
zG^?9H-ZlQ&k{^Ew=enO?lp;S7TlIz{gp-Xy;q1FLhPBH?U)Cds7Pc?M&13#<FDHyZ
z^FD!j(~E>HV_2hW+c2SWi51cAZ3Ky5D}rA|FA%RbCw;bg`i;1HvpG(*%@9gn1kgO3
z=Lr|qnx9E}KZ%HBUYA|=hH%7mn@8!PIig-rT9UKmH*sppH0O2=1McU6F{x>mI4vQR
zy0u_}u-uxG{?38{0c=%XMtf$7ls2D_Juy>+w#~Yw*Hs1}{N((4ZsS?Px#wIJv2TXp
zxB5Msz%qdTErq&+=Cg#u!in`a_skJm5Xm>%NQa7miCg1`XNmq@0Zmy^3q+gSe%c>b
zI&5pdV?^qjB^;9+ZvDHzM2uaF7cCp6LGrajDW~?&5s4RE6AIb>5;4E7fxuB3G#+w0
zbwz8QXv!=8(`iM*uzxCLyrMMtkjPj1OMHQlmrhh|ILC(ck6{UWU8&%$;Qp*aXOSqG
zl8H`V;q^qs#fP*E3OJwi`BopeL|7d?w$=SOCuX^CuE_4vhlP``j|UDe6UM?hO^0>4
z(R54t`gf}O@O)FQM@G_L;-&v$l>ZD579C;cXou^;HjOX5>!~EXdgLRA_y`}`kH6bE
z*RBgPLs5_J8nNNWsRN7<HbETNF|Jl-rVC=Mynnac*%7T6>-rspadl~o%Ghlk*cIGO
zHMz)v{6ep{Pp^1p{*jG&ZmK%4ZmXqe<}xQ*zj!oALow`A^bl_<B*R^^t|De4H}-YR
z9;28`prEd?fU^l1qAN-d&g%0br==zHT&E-k_9-rCc51^@#<#VV?EDy_bK$Q*=8E^;
zb#s21pbhH5(+uPg#6*Fn9Xq3>F)W|lGjFX8?r*n5#~BLan*a9uG0({2rnZ}MUBcR+
zpyM5|!BG^2`RX6AUdrROKj)@<rnF!=UGh?2t{BSL*qc|=mC$q^hbG3gK#gxt+%TsE
zmgV$$Y#vd@A%d2bz^4s+#DDi&q)FnDhfZUc9aZrG)$;LCmNw)_YxxwJOCfsJ++BX7
zhWvM=p6s}+4YPHzy{~ws@ybXHgTqe)$(izD4yt5$_DAbd|Dp``>{JsuBB6!;TU$#O
zJIPR<;l!vHlSi-Jj;H6|Yh#Gzc=p2@9jH|kPP(yC5q)1<D)ijfLDy}ESCa>I;Zwjq
zoxyF&c!ASD;X#@n>K~80@3}!AtfFqtYUQZlw{^QDmqIC+%(nduZE3|fj<6JFzNsSH
zdA)DJx-_&;joio^O9TDvDUQlD>S&2B`xnINh`J$iig)NxSiGF~`o0E=>}>X$`c6mf
zGv9y4lNb;>^ZB^L%Ae1)7GwqAGQhQuzj*o_H-sxo#?MK|wDHysx7&wV49q+Kz<t`l
z7-Y;!V>b?xky`L##P&V|HSLvO_VJhkZh9MON7u#q>B`cL{S1`i&{lZ2WCpf8A<g|h
zdN>)(6aKS}fg&Zpo-sKsp)qAuXTU*y^!Bb;cQKrSEFq^|Q4-eR9ANxcYz+nF&IIj~
zZZkkt?N*+vf&eFr=Q6K;p<q<>>YR`sI;wv<f1#6&1y0wbe{40UVvS|yf%|zh{OI1!
z*xk>9(sqTX6>F&2pW*y8(Sm{<hnPWp`8H76Y+hu;NyU2a%2TqRb<j^<n`~%q3+FC;
zeby07!G;$mX8bl<7@>KPlwM>Ddu6$*-(>1zQR}1L>9cAm7{}-d|7{DCRqCP7kLY19
zw>yjNr4pv|*lqvLX9uo+MlzgIx)}L}{VjjfN?vs5ju`*31$Gnj1C>c+w49EjZSfMv
zyh?VfeJ!@2n%}lwpi>KPkE<44Gv>pOzq>?^AG3wP2;U_Keof>%Y#9_D{Fg9E<-a(n
zY771xXCw?5>S+Gb@>Y}HC~+c_eIdKl2Cgr)U2yVLMUv2b%jd{6=8u{lS6)*aFsi)8
z_4t%B*8jM$G5hQYGb~>=yRu@%HyW<+WSvn!iumo8i%nC^{aPRQnHsU+aEjo&B#JDq
zyD!-CM0=5WHH6VjDFb+#cv&QxeKjgPV)$<=`^$WGb6PN*0bpJC@6bCzNsR5S4!hJ(
zf@xY}^XWrO=-%<}efVZE>^kXWBihCWnjfT+a$~I_`#j{_z9fWKU53uOZeRytlR2xp
zY%4Ha5<2QHz=!;`TN0)Zu*1V7M<w!8OBf7lx7zWY6Kln@)--Hp2imLAf=j~|P=5d5
zgFYG?78Hw5Z{%kOS)TaKl`<CK)E(Na|9FY`w79HAFJgm0rB6A3T+N}yb$sC^&JgDU
zp4wDdvB74q$D>2JX7E)l_u;Xial*cv_uigX5_q0gyZmj)6cSG;e>FM$l{oc|t!v#r
z5_~tkyXTCtDRiewZ(k7mOf3EWyCGA61S9QfFSe(ez~YbVfp1M)2!W3F=lu!)m^)fw
z^USC*DD#^SJ+i+<q}|hEoL}{i$u+d_l;mU#{_c|rPF^pV2Wbah*}ebEl)bf0hEZVz
zAO7n!*!#PK`QI&WmCV<FncXA*H94vqK^@DN>qGHpW=+`4I*rM{OcV10C+RFh$bX!2
zQod!7xkwXYA9ec2v{rl}{-2;BxSr4QZvXX_>38_8cIfaw=AB^2aM>gV2!<>4O*V}(
z#S^?5#5_r`C8Xz%FgF9-mvh<MkN##(2kayleI`LJmffZ%8$cW5#jZz*6U_9U@$GgA
zY+zmAb0I*~0Mu6fxoyRqViuUk`PJI6L&f~^tBO222sV~by%(mL3#6}Q6m<?bTsdnh
zqDu!hrEikQD`uHVaWbD;H8~;m?80(z4GqTQTz#L%%`^QavO_c-xqxD2U-iS41{_xf
zmqy(dneGWE0_QWip`nqL%Rfkk$AuD^m+hCC13J%{uH3xf_;I&*nJN`DzRFj5Zu-kS
zG5nx4_bMNJc$D8L96*6-Zyu*+3la?3o$@>4CjgH-)<p$Z>BGO@>CFdx*<c`qx_Q7&
z2)Ms&ncT2iA0mG-%sTSff#I;(%qT_#3VEJ=QI6Jw&&-M6A7?pWp+KOS_opb(9(5hP
zJgN(4=k-m(_j5t3aod!Eu{e+~G(Ab%s|#KW2I9r@+;A`CZVTh81c-h5^k{NS2ShVZ
zzbY=`g~2PgGHl7KK==*y`E;TVENGm5S)afUty<@96n9C1N9EYPf0{Z_{%Y4j?*u`R
zEf6Vhxg!k<A>YSqd&y9<g<YHLzAy-Vx@9?DAPcqoT^CGmkio^!<UHlLD7?5gK5ze8
z9(-|7zbcLlRnl8s&b$$W<qc_F^>Rv(z3WLTZwMKZ=Z)L~DH1SQnQEQTtPEG)#cy#u
zMuwdEpC4~LkOXhG4E<<zRcI(5E~GysgWFQ~yN-=gpe3ZAFp{ALJU$KHU)gj(bExw`
zl#n#Yn2c>>N^5{dMMsK8qz=q4yt1wPB?AqmeX^`FO_=`Jdr4PG7eY0YhIUWNL6ms=
z)?2%^Vg2jt8_H*OfqIkC8X~O-71>6wN0oFSZH8&k%dHPfg{}%JG-cpk)$nuqn=W{U
z#DxEHr9jQ)?8bk-DzIm$vv%T<K4iUbKco4B3XzR%eRhSaAbd$DsxF2K?xN#!SB6&d
zmMC-R?6ewqrXM+Y>LLv+%0}iVmgrzMu&d;#g9h+!iWukFM~4{xCE9Vz75{9hSaYFJ
z6VgXsFr4HK;Gk2$U_zlGRClLcrI55CJ}fKH^`QYM?9NizYHAEwJC-ZFwvb_AV9&Kk
zc?SF}{u)RAWdaNRW!@YaI&j9GnXkB&0XLqlNlULa1JTFN`FNk`0{@f5@`Fwc;D{aw
zw!LEkj5><Pttvez-s9!GjfVlM<S)l{a;;$M#8#o{41Ktnk;I-7ZUEGUfUveiCcOH2
zI_anZ1;oSd-4DG=hYJTCEu`-P#94$rnO^Zt$?)d8wTU#qRqWoO2`m_>O*|$1fC47+
z;!3(M6xgV}F0$9s23FUZ=lqGIK#DTQ7h}+cXS<G0{OYm+vNKQE3=ajm3g<WTj%vZB
zWr^n&4z?h4<>WS}b^379SFF!CR2}Zf)ehxk+k$!3Z9%^^dO!s&Gf&dWelqI+SXJ4A
z(wA_Q=hp>YTECFcHaWPLX-hiu%ocp>xOX~UCd0PquXjh~SAp%zsnPV@6%MAS#*gxA
zgQcM2{FP~8u$!ryjoEGsuD&)R&fc1E{9L!b5I+~ZjVx}N;kJb=i~KJquB(ISH1krP
z>;hAMdtFreH5;&N&hEQEpbGMR`JWTVhMD56zdD0yHZYSmmR6#!0wj`Fkr!Sij^0S#
z!d1zF(_-lxmxdLg-j!5!oNth@Jawgiz=8#fChCC;1#-}LNj=qm&p08)74)yA2B1Vp
zK8T(s4eYL-G@-*Y!~xj{C);fRV$zx())cJ*jnMG2V^i}4e3Z4imB9pFk+)**OX6V4
zZSz~kY>8MnBdO<8XbsVRWot?jMZxo};cAX!%Y<sm6OGPVD<~HGbL0NXADDjiJx)j9
z4*}ibT!)4&;rX7PXwCn4AzG=)my6>MG0$_w&s5A36#QFz4pwl&35T+R$@9yErgKUc
z$=(7oPl$%U+{*^zyrRoL`<4iC&j8uLcyrM5vO6I^u+02+%s_7s`w~G9(RnDn(nG0n
zLXPCTIp*{^YPXiyB4PZ=dw+_c8C;jPk01Cs$+SB1ezTRr0uh*NyJe@BDO_Z}-v2Rm
zjLF8~Z1IFKPc&C^?$s(?;iK|YTCV8`v+G*3WT^KXu{3NwkR)URQrS&;Mqz!-=#BGz
zWd*ZDqjH&u{vl()Lneo(=h~UVBMR$^1!jp)8K0@m?M6^Y75lc7{G6$GO6`_N_6+fT
z#QT+&wGs3uO)(ygonSsBH;-*zKSON4P+i4&-w?1Pw?eh4ns_s}P$;E7Lu7Vsbz&$R
zLiB<<xMwsI5qkHWgS2Oe<xp|`<ZK4G?rbjJ7uHE=xmQ}OcAFv2b{slCAkKjE-!)`8
z@_LD-5Utvbk{KdIsyIhJ!vJQgo%t9={e<>g_uhR*v&5U7+jA9H89<TZ%zTOWAn`kI
zILKgRmU!*k{<?LAkE4oByP0#t#QhyA!!^(6h=9w7Cge2f@czWTa`m`x#M%=F{wlQ2
z6E8|-O()A}km2T<)kYd6YPIQ`9`P*_M?12#?CojbEnC&Xc5;kRxq7bCF?5MwJ4A|D
zRZfMi4k8IN0^>x|9shD!$v;HB;t|@>Aqwo_{PC}7=LB&uS|zyo+g~DZlYeoE90epE
z-g@OzH%TP#?z_7oiiG^96G`Zy4`ZLIhBlZ^6KcL97qjx&u*7<;{-Y~;km9pGD5ZXe
zuszw}6Ewn(%jRn3cYf%?OUC%loh!ZGMSJ}bCnrukRMg@2!b%r%_0L=oHd!E49tzgX
ze&Rv}0TEY=937bCd9zPMeTmSt=!r|r<Uw0LArZGlGF;hw{v4nAA0lwP^6uWFeE20%
zWo@V*8A8g20)}G#5#Q1ss)JJma6qkfR`9(x7)R_`^WP!~t$~rz-YJBx2BBX|oweb*
zn2-_0nH|S=jSeL1isF4|lBQC(79{u7PZ~CIU|Uq?kl-0HbXWRugt1=>%EpRRZ~AcI
z`U8hU!~`WUIrV%uJEs<?WUk}>q{4%}UuivF4<#{3tuD0Zo+hYOpPdZm=fl*59%_4x
z6b9V%u5s|wgbTm<>kO3zkXfj)FCau3(_bWLnCfXlt6;}z^?gDJz8r59a%3_2LF|Ul
z+?wFC<8(pLpa{0_AF+KiDvupGlc&DTYJii{X`jcAVi@qrnI#vjgdSI73ZnmMK*s~u
z_NNWvIQBNauTV+_C4Oi9b5Pd=EAC14@!gUrAk=0Sm!^v6K1=)F_)im57fNdODN7-H
zb^g>3HFd1nvcDmsLla2e!!smKX$(#yr)0Ei;Q7tpo`v{p!KvVj4r_&F@!ZDJU51yn
z@UgR_>@-~)!~%|2uK{^<qVULh#F9}yvx@qMPKL=0kBeI`Dxwody6sZ1E*2d8?x-59
z1EGvZ?ZYX`*f5g8ryi=0OMg>;u3uc?_Q2u19Rn&@Ul3NB7)`~8O1)7o@ASc6>OZx5
zdo{fH^~)Mgf`)Fop`|ZLG`PX<Ah5nt9bXLJyWaGOjt~FK(`8#rhX%Xu=w3rjEI&4<
zIhAXG<5i!yE2|Bl<{H(W>#-J!^-v<#?`Gh$8(QizdkkUX(!Ph!4as=qpx?UPBtvZb
z@0!}2xiP3koG6O9t%I?@LldL}4DmndJ8hcgrf}zqwzNEt9y-mddWK{gVr1F|@}h@1
zICgPSw%F@q$;mbTuR;v*gUE-ze<_ym=I(Hdlp6)xvpv)$*bMP$Tf8Ez!5Yl3^MCN8
zQ8BH>Icv8u19?xzU2G2r=!k!BzN&$W6PwdN&#f}RTW7BrEJw0ncCjiVkcWl>zociU
z3TddsbG|>$#|9c7y<=Bnr=fM1NA>of`gm*7hjCQH7A*I3g?Zed;#BWi*+?B7^ce}X
z(W<tEZ;_rn@?#XdBjnc_L)S!?+R{BYH0<Ej;@69bBl@_ZHQmKsPZby62Q5>)?I7cr
z-*fI9J^XW<dj0B2dF%-m3ljX#4jPmur}_nTvClIjuZFe?xsTfNPi?RRaee9oL1!}V
z8;lLgkr2WU@%(RX`0XHqC#}>vR0}Uip6hY)Wy8xmS6gU4u!YS%cBT`@G|(%iOVG1)
zjQE-<G1X{g3tb2HCtN+PhNKR<WR%BK=C*RB<`;wwybz52Yk5HhiCf*<1Y5_LxnoSf
zCuTO#-7WT}%|!`o%xt}bEEkx=sWChCOIYwf00030{|uLRIM#g_#qGVf>^&cz$KJpD
zv9m=<$V`!nLZW0vqCqI$GD1d5Bq`(fHBzZGC@Ph`W$*R+_x|hL*SW59K8GX4{7G@K
z5c2y~>7^4#0TM4_PF<5F!}iyr-uv<bC~J7c;_?A%sMPy$Q7;c*$jQ=qd58zy$Q(I+
z2WWwnB)tAb2%!18+ll#KoM>L{&Iz|jIyfWhyAY*^fwpIoRFgCtvfa!X{!gABu1?Aq
z|FtlJVYap%aW+OIvcE7Z`!qc`NL`Si^)iH3=9ruZ!8Az!)1wotf%HIe{|;AmoB`O(
z5gBvLDG&uyHeHfBJp@oEx&>6~Lv3r@#k-vAcpt&Ef9($)kV*ztQ%3aQ%eI8`ipK)(
z-Ffrh!HaYt5nmsAMp_RJY~Q!?Y97ZA=)UMu6`%uQs-MS#PU=EDYqaf<XdljAzT{%v
zKnvVda~q>CbpSe;a^Eww;Bk=>WZ7U^SiZjRf)l$AxVx%6KPiK-*vo?zLAtaMyHK*O
zeNr2YEA<xQ0(!9f$6c2^glXZB%Aqjjk6N%OMN!j~H;6IisLM$1-H&Mm^#0J$f(LJ7
za(TwbF_Q?3JDmEokm#jQuvVZ6eg+fX;bs3Ywta&3bCI;5b6Vl3J&z_>F3R`6-kHY=
z90Phqf78NA$B*Qy6b-Pv5)?xfy@aLKo{??wp@Za#lapKY8ldO9;o$Lm1uMLi@MnmH
z9>VNjoDoV^2P@tF#7Wt8OwVh{G_{W&Y*}X-cG=XSXREJ#%XbsgkyQNt{VN0TZLjJ+
z%vOU~CI<(D``cJ_#ZUm%JR?jxO11JRsDbDaDns;h7n58wynRWB85YkA|2xu1g1lGV
z54pG~fyDW~eYTthCSThBmwt!@J-6gu9{?&4^rb1mtk@ugJ-w@ci3r=-Z?>|cs6i`7
z&BdC91H!{}7sKxo;Z^F%0Npn<(CQ>1Nn+sytJo#!3^EafjWd76$kG8*-5E9oSuRjy
zxAtTkP=&bX10ALJ=%K48vZKt68$7(Jw7jiV;cSTH)R;0O+{o;1Hhsba`oDj=GqtL~
zPWwgKu%Ar8%ppFIC&mXi1QPE`>{kH~qGIK>QWl7bVS5%-#SdAV2OSsx5P&M;cDsKL
z8?cF-P<1~h2<!vl74(S&2;#r}r^uB9Scg@E*bIe0Q|YsYA`oE1OU*(jiW5GFeAL|5
z6#=@oq`x8T1PE;U{OHOvE=V1}bi&I+3_MG`dH1g<1C_9yCqE4j6cmei(RPbNX-ki8
z*s3ygzoN_bJk1L!_pbdBWtD_khMQx;d<0l5Px2{W<b#h|6nQUQrC{P_Mcey>1Td7Q
zl48yjfH*ykF4mXQka;7@|LiLQu$?mJGIQDozQ@S3B?_{zBx$SfWvK!Uoqc1ERfOT~
zql3@%%jAGs0PokJQ3ck-M`R{BQBWD}-*;9+0e;qO*S%g)h5D<yZ>mJZ;fzhQYE8Q$
z)L?;3k*P%Z=FTuVr6B?C(j|viT$RDoqK2-{kOW1CN1)n85-cS<J|&M5;QMsFwi>${
zJj}b|+7mAYLW<8$ZTYCe&iB}R2~_G(TWfIIzg8L^to(h?;6sG6_Fdx}0vd46j%z4o
zN(Q{8HL8Mlh>&wB_OGO)CY&<0^u8i02jiISX69uQ7~34Tt1Z_8!^E6(x%=fo#js*#
z<u?gN4k?~tlGK5HAxg}czXBw^akUraQiItL*}ADJUEmci<mWu42*S$+NP|}m{M~`T
z;-n9eU3438NC}SFmgQ9pkl@M_%VO3o14v}`{qRFj86G#<+N_=<f#S!ji|-1IAokr+
z3%#d%zCCp~qWGQ&Mu~B{b9*_-BKvwZn~MMqTjxuszpBC^rv$r}UVsudnTu)q1Sl67
z<0&d7z+;yl2g6u0>^~|^pD9Oxdqnm4>+(v_oner{!C?&5R#~|HH)SxH+ku)B^6=*U
zmo(K_W4LlH<n|XcWyq)w3Ac@tfjYC$5!tWC@Jd_sY|=#~`15b@Ov+73xGia^N~SV_
zr;mGVccK+R<)c{9_XA?^_$U!O&t(E#B=7PI&I;gDQ?S4Iy&yE023;c2n!p)`$WKAE
z^5CGMVjNz<1GIM~hsS>#L!S;YYdl95a*jU|=Var6bp?&_m-)tU&g<D0o2U%<$QLWn
z?a;%YrI>{cM`IZ2o7l;|BL#@|>a;8)C0H8HJQ`Xi1I?5aRW!RKI9U6<iV9i5W*@_0
zn_FaP<BsYrPZftqUR}4r`3WrTmg<W{X);`Y+QrhXAPR>`jxqlRzF|!*diQOg0|>oi
z6|8U-g1M*i^-m4b@tz}RgxXC3HtMq2J1PYrwez5wjo4S*`H@qnKp6&y;@YApNqmsN
zvl~3L`x`f;%L~2n-Uv)rcfxG@xuH$nVK=>N5dZVz2y4`WA<$3;m<ZsU@W@-Ilx=<(
zzxdpN+#_lT&Cf5~r~i)~WP8@{j#rQ1D^D-FD?1v%FM1D34_+4dzCs9-I6i`FF&z-8
zN!ADdpyqQ!6AaK*URjxBKa6*1zY#h6Ru7)`Ut=Zl(1A_jqCo0{L0pG%fo#F52maj+
zTEaJ}!E|Ff=xAy`z8EjJwd<k_ZP~VI3<oLUb+#wFgI6EE?Rww!XsHftj>ytkp&g75
z5kI6I=)sp3l3t7NXv2&;Oz9ll#DWiv2{8+P#W`Y)4$--4Lq(ghP`Jk$mh@Sw{!Gz3
zT*4{e`AeM^gg&~Y!`-=z_48a%@3L*eyY40?TZ(AGP;%{f^Swn(y5;%b@Pmc;P;Fhk
zcA_Sn2Q|AHd>(r>ZlK~qS-jU9S1ZmeYQR|)&#kvAa~S5Jn%p4Qgej<=>Uiy^0sn5c
zgjBZ7V5V+iX{R2(#lE#V;M_meA!NmtvNwMU6Zn!+dv*6S=3l3}sO6*%4_ePnTTD%0
zgSw`lpJaT)CRa&Z9G}(TIk8c`Eo&Uh%f7^=y6-0@`gkNa&Or_CZFO8q${xe!mE01C
z?*74!n~rCMc9X!Q^{gymY81=N*TN26AHYJt+z{z>BSD6KmUB+RC}y?k8z=m22vc)T
zJal1{2t$Qe%f~!NvF^d;#bAX|Y(qIy!6%dm2d>&hT1Sjx>3_5ot!|BD`=XC(gwqni
zJ+;A)wqq2N7Hxkz%sz#Y3kcEs)m7mGcW=A(fiWya=z?0?lfA$F8{-<iRlq#Lm8{P`
zj!Ca6rS<8~VM4)86ND@R=t+8}yxkqg4pX`CE?3WE!xphq@t>8U-)yC#Mrsn1)UrPw
zY`%zHN;Mp+;7|ryv8gBVQB&BG73VRVwIwX!Y|w|Cz5GH!<}G0iGgyH5)a2U_E7(Ww
zLqnzy6v5hz@@L$Ke;5H(w}!l3!^(|!PL(byKnVBJLFHq6I<g(FDa>tPd@s~%-dQO?
z>Am)Z$8q!64spy!bN@Crf8Ig$d5JvOf;-lQ7O>c4>yZ6FcCr0l`?q44<bnI!?VC)J
zOW2))r4=hDO2|FWbl>ir9GIAT*GQHvV>JP@E|b5g;7f3yfbF0xVEG4A9bH$kiI9K`
zO4n$B;mOMz^)9lI@$t=&j@CN1>B%3@xW_r|tNaerT{3W9@@(?7$tE@y!dKUOoB@V{
zTXHR3WMCk_igG=18*3dDKVy^61iH?{$_EFfp-Q3NL6eFCGW905qBvM#!pR{1MVK_a
zI2htH=|u@@)V{MLjqLFK=+STkE@`-X(b>IXkO~+dRvp!G;RG%e+xxdp3Z%Ao2fyv<
z`}LTzUww%Sgp)_^ehZWWSsIg0Ru4M(^mF{I?n@r{=}e5zP>_N!y%l;(4+dx;3@5gh
z@j+csX6N9FB%J3`_i4My1Q{`%3jXf|z)0S%aJX9%v=rZ;XIf_g552Nu^+G~GR#h)k
zZkGg`v;fb6`|NP~5qFMxkq8i?eQtDqlmz4UgwA|2CxE3bwXC{0=+w&Vo|~0~hnD^i
z#d^3PRABptO|=B%QbcW>QkB}nTh`sBG#+S}e%5)<K?)3J7O#Fumx4q&$F!TFe2})X
z6nu?M22LvH<8flr;B8$0L?%`M{;iF9y_k{(_uBOxvp#7MP)j#RdAScRN*8@79F>P;
zxBB#!&oU55@eAJ&6@gRhU)^lB6v5#jPktD!96)22?WZa+c<}hZhuXb<%bs$aO^KI>
z&vu`GX6Z-(XfN{wd#gf_cwychXGMs8X02xTSQ4}yQfFd65uqfBiGnvy8J=F|?s=^t
z4T>@kCk-b^AY>-xRK=qTNm|Jr0q<oXw0QKu?vffvXPMa+F_OUOXYd_?AUSwC#z@&a
zrVfrgHkR*^8i0o&?<BhdJUpG)xKpD6UoV=vAE?v-U8Q_6rYDLJeIs+x#7+}td<wI!
zebIs?kHWxOePwX7Tdkfb(uAm7KD$;iT_|C0kPogPKzpH+&3L&cyrg+guDz}g+Vx*g
z2QR2Vt7WW9y0a$mTt=?`Oh&+=Fy(N3R~7t9`F8?yG$4@jw5~G%%<>VU(H{4Fv|Jba
z8>tS@J1LS4g2>QxUGS9cJt8pQ`+F^NlLVa3KXOwp8iR8}>Qz)i1m%Btgr))!;zSNq
zeK}?V2U+@##KaL{j+YndsVc+4S+Or8qNWhP2`;wEL^zimeWkTg4jwD@6mJxm0;9TB
zR+XJ9Bp)pQqpc<d>8loA>NBSBXPuW>ZjJzqL2-F;mqg$)3p;%dl^OKX@BWM2uME}p
zrTSgMykKYWQ7vxF6mFJVoxKyF2$waO7@O#r;oP%vi=;wR;GRD$72_ojIfB<EL<2T4
z=^Fibf6NqK9e&EoZzK!AZ!JSM=)#~Svth2)1hS4gNQrPtL#kD>5?q_Y^~AF0^mR?3
zJ4dPM@~8xubJgr7r)}XZ>5i1r4~^jmf60ldG%=72IKtnyMU7mA+wyq#cuCqP;TDP&
z0>;V7?}NGw$VD*RiYtl?>G~{Fcqu=a7;P0x7%`)Y^9uRB69A%;9}n=c^8k<dl%Rtd
zE3&1M@en<_=ZpTg^3yLl!1f%a1aBf6diJ{Qz`ZIAidndwB%GM{a{5nE2$3CKz2vPJ
zTVn(v-r5<fjkF*iXBTC6iXC}Wge>&58G<Os@aXsx3JB`0B0oRMj(C~u7Ptouz;(VV
zZQXDUQ>{J97bwn-PHMA+`ZF6qP(oTBGxHqwLt(<H`YjuJ!ORyog6V_R^+{aFcL3uW
zFBp*xU_-G>#ixp+^&q%6w#s=7VXdELQ=-|~(2=jSXWzE#LeAMXUmK%N{7Qr6H?wwD
z6lh*%pTw^V)qZNik&=TrTXS1ROeQP(Z-G@#Ggt@2xh{t;KAgf^OPy6U;#rZZ<#}89
ztPLNUjGJ>M7Vtis0h+$stVlZYp&LnC8&+HMo;_z>!B6@ph;?+Zq9hW<!LlMPh#9gr
zzgN1B-%1_57p};LMrW}oPXR43)3Wc~rrgF!PA~LO4I65Vf1oUut_hp<_w1B;DA28*
zd0p|7>}Y7im!_Rl6K?i<re4XQM3RL+S_0%akXaUTGrpq%eNB(^)ETJJ;Ew>$OHVn_
zUn@S{bV&`!9ZgIf4y8c`eUHhmj-06QbMe!bXX?OiwQ#rRFD*I(&avrCT!^0kdCjbq
zI^^Ct)i_~GkJN`wfA8qyLV*UO_NL=%pi{+#3R)SEX*1sb>@7EX=wV^9nW6><rASxw
z&6rRq`{4uZpLo!hb{0x6Ej7@}JWQ<q&WtQnJCvTx@gjzF&#g~mB+woH_wsENE6V$_
z7I;#HAMv=|H*3fzLE(gGK8FrFs=a$6RVG;g)rmWtc;rojzj}d6=aV>)vNXln8p?g>
zh<(yUeI*iH5)@AU7|V%1gpF_ix+{e0m{VP(_x2EdkxpY;Di^w2%-pVLFM^65Wa7HN
zh)`|%#FtdYjT+3~S!&3LA>oyT$WyIEP>2ob-Rk8*jeW0o0<VjsecNIbUtSR5i9(Qt
zxCkGTx!7X+>y88}Hc(H<dbzi^I+HiD!}-zR&(*l&Rg$PkoN0-pg9vBem?aZN1yBxV
zLzev^g>36q{i-L4z}8!o<`lFK={-u9c)}`!c!h}$3?d|${*UUJ45Kg-(a;WGvynw-
zi6_3*_>f@0+qu}hK?E)O|Nc$RkV7G=s-k|4BzTx}BCb6_40-uRi%<TQNA`|RV+|^5
zkZUvB8~aooy$^d=b5KbU-EhIQt?Sgl2TGrtmPnwY$~y1vU?r4cTy)0IO&yrH^6OTL
zB$0u^Oj%l)GI|^-yq`u;19%K*nq5ky5Y3_Zk&KT7)L&w@{9s-Ktb;~2Z#<GlsclRB
zJzXm3Rm5T??T98k-2TES`9ucMc$i2;RjZ;?JQ3$v7PLUP#;atpTo&cn`!n2BC8GN_
z{l2k$I#4wCt=Z<j9O^S+K2dp`i0EEl_%~~(3*nl%XyLLvqP90Vfi4o!?`LC-sabkZ
zL50cK+A1Jg%1-y}Kq6w+d6!Qb(}z<%#}56stAKnz%u}kV5K;cw2<rr0L$L6}Lv_;>
zk>7{=xm>BL=&9PAg~k;lAbj6^Ft??Ma1IKlML!k9-s$@NL^B4)jsclAMoI|#?-p(M
zlrsA2`T1?pSpZp$vwZ&?l~6qAh+2_?63Y2%QfspWaP!Fo=NC;S6kK%$V^LB-6raTO
z<$cKTV<J=T(u5*vcdLjm*p)@}9JCK^z9fT7Y5auXX+^ZWE?D-aP8tO+rp6Ahk>M^$
zIoh{f0nu!aZ~C8*MA!qYw@}O&(%eTYV^-wRFPnV(A~A9F#b&z5O~n}euJvZ()bdD6
zz;QSEmk?@F$~I4uH3sH5b$;@aEOPLp&}wYrM-pG<-?=gw!?=Ar#r;kh#AhU#-nz++
zb_ewgFZYolVwV6_K&rnabv0WW(eU~9?c{QxIXMHdKY3(e5@0h+aFasyZ=#BidoUx<
zHA`kM7cwyHwyWjslSI2>_|a+?IuvoK(Waf23|kGyqfPq6(V;AQQwv!tRAb1`miidr
zg2-utmX#O^V*Y;qR>U^`V~4)rn*%@{PoNOZf-q`gsb%-#T*ISHgp0ooVxUmse}}bp
zAL_J<xaK;yi1)E{bDWdFfEPNZ$8!YGV75gg%*^4WrRtJ;Pa~+jY*_cUkPlf=k43UH
z&)}+|FScFt4B`6AWZ{ypJm@N~AKtis3a7=tTgML=z~!&uHKFp{C~(H-{SD$I4i)|^
z>~aR6)s)#}QOt>g`hwe~btmy}LBj5-!TJzHN5ztC$$`*{ovps=6rO$~($2X_57fGE
zVS18ms3nwoI&E|sXEvkRyvv~n8E@=OIX9V+5SPNEM7>$OJaGO*$Z=iB(s@=SCcuPp
zeFqNVbn|#bSy#<qiw@+SwxN6w#(*d&Y9H?_TEM;Pss~3UbwJlCud0Tf9yQASu8$2`
z!e?KqeGN&{hP%fqy21x(k>o46r3}{<yq8eY96F~3N`DQ%$xPCqD0kB??&E8?fzE}d
zeh)2}kC%>BlcGUwTf+Blrf=ZC*5({aKWRc?NkoRjHEQ%XMrU01*A|{KmS2F(G~vF6
z;HOw&Y9uTZ>S9IS#ozZ;SV|%dV2~|!6X~Hs`7I*cW<wNcFf4THoskCoJ?G`v{elXu
z7EZI)YEhw_xxUuAW_9?$7qR-RfeJlcd74;sj~WRI`N}L?s)Md#xr^*D6|&$bBn$A<
zqG#gEY$@GpU>Nx(V_umW>021q2bR*IpIJNIseWp3%TwA{D~lS@z4}(8@5F%k1Yb>a
zuan@P#l@*pVl=3=xnKR%J|<*P6xL5pC&AWbE8F95X^>xuUy(2+3yQejc#cdY!5{e}
zL#Ao8DCO|`)45D+NPr}`W6?zf0WBK$3z2llt9$dMfd~hpqh6-E6GeoXCohZJ66lcw
z)<aLS;zYF6`&py+`0?F^=saQ-1DeazUl6>p*MqlG%3r=x1<qXEldP0XNINI*{n8{i
z8u>1E(pps&rcYc`o(W?{=X1Ln-}>+(UW(;0RHXv>5vM0|Ia$%D-VMsURX$XdR@QjL
zL<N3dY*LW_&W4nK6HOx?37}AJ=kT-<0=()xdh(AC2Qqj6eB3BzA7XsPxFDQE0FJ-H
zM~{SXq6Q_G;;Qq)=mK+}>Xr`y=$}U|HQnJt)qzJA?Qe@BAN9M+my8MUb0|E{tcM#}
z_bb2L7buQCMX7t6>Jz|&#@|eo#EXpbmrWw?OCT8rIiiyT0j&7!zj;68L$UQa^3_9<
zD7TH-l;sKmd_#R3ceDjiq;`ymnt?R>q<1Jr<2M2PDQB)c7!^d>YNYjd#WLuf+~|{k
z?kaHC-#q4iwGeW-B>eTVs2s8$o4#JjpbGv@qpj#a5j5u|I^tC*k3?P8o#aMTfkx#j
zn^u7sa!i~0V@Fg(!D46fZ|wQ<Hd(W`v|k*(s&%{m0arpDk7ir$N$l;L<*J&>EeYhE
z0lzz~2*~zD+e+Uk3C>Nl@zzR8p-A)R&e?BO&_ORAp#P`_G^P<;3=YyLn_A$n3qKKA
zwSO;C`KAuDb-jXOu`=iy!+d;b9TCO6=l^?tS7VP`p3U5>l10Pnf82Y4geKTm^4?l$
z!3!fg7wSGa)P4HoFu9C`EE#CdhSzArEv~gnqYZh)`7y8m@FWQtyVWyL=;(s7Qm+r0
zRuP?~<i1PVCLuT92%W#3dhq!wDL!gh5t-|}dpG@ygs=vt`uJc2SU9BNCDy8h&WQYs
z^p7JU9W3SZ6)q!)lQFYS^;bqmia1XG{zpWuCmPS~E5qRRu~Fd<y~-%9;}g?)Ng`^F
zv=17-4N&xsj!%GxfL5L@Y|xshpd3f)R|;e@M2~2EI=FYgHYIcT)2I@1{e16S-*+;M
zMI3XC>QP1?yk8|BHB~?ZE~^>09gKnV`k>N#4`n1O>LnO`Zm(xpxF5JbGKTLubkTpx
zl+XckqD=X9DRf-*_Q>prF`TxjOpHW|XpF&_e&UfhI!iNmsG7nA^hVfkYnLh@%>~w*
z74L*l$g!M+q-|r!*!5wj3y?=i9%(cCv-r@D5Z9m4fA@Au^wV<>nB|b<8!N|{ADl>W
zdy)23xiPqYQd4KlmO;xjj_<Xtn2}vRFIT*eF~p~g%B>4ZBhk8}<qK3ah`8oeInQhi
zEc=kljVwt-<?w+sxqcJBRif2YP)>&bhHBf_c_q+c!|(Tv@6Y3pDmwybjmdCn#CW2@
zKnz(A2zr`R4dDz-8{rh+0Agic783)6k$IThyXCZZ_(%1RQA5W7mYJG0#9s=cTef4y
zgzP$u^5Gk%iD?WXpMTBVBJm^96Hi<jpLbz5j7Q6N*)g#H{<*`mhX*M|ncj<h-G?pf
z=VkP28NmegbP7D;Lf1cV?C0Vcz@}L2&gJ_Uf(w^FukI5L^nS)L=z;Yh_FrGGA7h3A
z^f{$1-N9Lr%HJbLE*u%eu0(N31-;jYA3sw9EG{vj?o_q4v?~J`QRF$t5Q9Dxo5bs7
zrO_ij``q9#x_<0<QIox=jUG&G9H4Gkr9q#b>Sdo4=)-1e;;z<Z>OwrJrP#Ne3PqQ0
z1SnqU!3?hRk?V$aVE;0A#Y`auLi^99o(uen6{premeAFK5;7Obs&N~ql3CsKQ}4j)
z$~r&SrfY-rlIg9_WgEDFz=N@v2ThpK{kj7Ec`cxO_{!)e)f(O@<QCL>p#Zxoobc(q
zv)10u{%}CMaT(_e94MUPF2|1#1f**>Xu=51aX<Obi?}q=pqA6T8Ru0FAGDU&ge=96
zVex7U_;)Qb4fMUoACY_<uie#vu^pXNjlMa&#V6uvkyIBxtn{_|1B(X85N?mnrp)4w
zBe$ZP&3o~|?>&`s3F>gNM$@A7>kNLgWHe2~<2U{bq!0H{sDoP^dkHai8fPe58uQd1
zz_0i(*Zak&L94!Je$n+Q+{{a^-o0fAH}>hwxJ<1EqdN>Yugy;4d~BAwea@r!nNOd0
zIj)g_H0sdSlsAdL%E*+hSQ^JShVEO@@Q@(+D%s`e-AO!L{A@Hs=@hPMcJHfs0TI4c
z`bAcEPvTrVe_!4V`-j(Ta<9B05rLyFokqlQ3cqfZ#w=DnhjWIA5f-kgf=*e*BRb}3
z{O_~Iqc02>a6OHahySZn0R!Dst4|a&xYxgg;oyNq++*xqcla~`cBX%yLZpAV&Du{r
z--2a)AW?rZRF(jz&>b79+*!Q+m733R>?-~*PvUTjzcL6NOUm0{IES<7=P{-wt>bCJ
zJnXd<N-!bK^*cXn9;bC=6h8D~6VEv?FSfR(2vfB!e$M3!c*`Fjk0`z!y!mxyzq_>}
z3~)AG;_qL?Bg0lgT@F&9myr_()(aKD`@f=YYQ1Ir?hED`hDJ&hu~pkML!|(65>K)J
zUajDpp_*<5X4Hs(%nv(pLLPL3c5in0t>NVLj1w;wXwVPmtL6{8<seewj?0Yx1|EIz
zu@&Jh9lAQ^n7L*l2W-QG@n220@Yn>4MePm-)c2slwY^0aMt^-OXpY&z{|5j7|NjhE
zcR1Bw7`OMjRw5bqTKD4KYh?Srmn$ki6+%fgl$DUCltM}rSt%N#j3N=TzK5hlB0>t8
zWo6HdpMT%yJm-9#_q^|CJY;=hd2E#rRkQC*j<ryR7w*GWD2N3y7BVkBI4+3VOm;Z0
zG%3MzxxcwD+E~$I`=-vjoFb^`?L<?fyAq_lY3>)cXGfKqx>Ebj6VQInBk5}#N{~#k
zV3AqiK)vhGl^`UB_%*KIFU}*umHKmomhZSwYIz`gNWC~Rf3Q;Eeu4x=#hq98m-C?f
zOqEsF*ODltk};1oNZ_<hTJFFQA9|l!u9j3Qg)(`qRysLI@T8N{k!T@^lISU=H~3{x
zbDhBf%?TpN-s~bIbqgc!U1Cy~!(@>hC9ooIqh4>?Y{KnKKpd;aG9WFFCd^DO{Ng3S
z=N!_{qklvZ8)LwYa7O|87qEWsWso4_d|gg;@&>*`MEs!w5$TwC3*AT|0SA`@(c51V
zvD-@wTYe>>;m{XtUUEvnf8@0KNq;HSdWoi#@mLw<Mc$sA-00i1xm?tR2hylVvQxw4
zmMRLbIj(A3q6|#CMvvUdEhvH1#7VhBMm~YJBqF<1;8t=EtAoEBDjo<EEqtzy0^f}n
zYwu8l^wTS%yMz?b48`tL^Jh)e)byRg<e<R#t{@Jc^NQ$`fq4D*AR1y1`XQaXNduBz
z?&W+tLqrd*Kdw-YqN8794-9tSqQZ59AzqftN+|IAGWX>>TF9I!`e;;(4wBA&^@5@*
z$n@|%p~4_-<WOKcbL5*AY{@&b?31O6UQ;Cw3@~-j-qL}_f)_gQ#%fBn$B2w<tV$d@
zx^z&K=)*h7Z??hlexpezoPvJ5&+x9**G1=9he}k2^<mEEjIO$>2BHV3o(-_lMe=J;
zbWDwnz}(~p(brQG?byDMlfkNsWb8A&-5!~MhrGq}$7iVMQ6C|=<Dd>YStvCqzm7rO
zgpgjN91V?xo*Mb&sEx#<iGEKM88DNzt-RHRhW?baRp-ys(Wv4*4l4~a=##KBvGt>&
z+G~~(51BNS?!A<lByJ9Ear~WE?P<tr;qK(840Uu=J(d~u#T?rG^A_Io(opN+HH|f2
zRYY!k7%%R`g!@a80<lCYD#~-bW+OpDXO2E8dX>Y3l0#nff?pcw&d{*##~3*zxBDB%
z^?D|RMI<_r9Mn-qV}kYNW1G;`6K)rV%a~9rNES|xC8G;b64rkkh0zeh+%!Ct2^U81
zjfkbGB9Q(sGWZr7+LgK~Vh@=Kwk1=FWr@n@Z}H;Dq1-W?bykKow!|F1Xk3!&3ML_z
zv-|I2)?YDyj<-yqZRX%o^(|iim?C1L2A%Sj8BG3?hhJot8SrJ@M$z{2$Sa}vL~`Xi
z_RB@Q;);|RT=Q7I-kZAxdCixOak+8;FK_xb$p{9R2|9Z|9+E;9E<I_fY24traO5Gj
z2oO^CyV`WW1bVHg88q9+3$;Wckv}H^jxF;UPy|F#sVdtpmVNvXp6}}J{1pRzGp^K5
zb|F+WVK}s`A^>RaaHje<Q>flHpX7Un2Q951e4Z6109OTM+kys6;Mu4989zPQQSAAt
zHs@#oh=}_~SX?)T{UQ<(kwvTcoz{C(j)w%`9A9}5i;6K&R41a^Lg(;=naQ|oLINOe
zq%hgwWCV)!S{F~+jp30m8vc`c#Shg6TT5=n8^SVS;(nA}H*U^dXMABVKLnn2pn85c
zfP?E9=f$PUa6h(w&azcLI9hmMbFQ)hd~!(<=1gnAULWn%KUTp9E1@U*UIpocpU-ZA
zvyXmZXfu!MP$C~RKf8aUw_OkR1ZiAcQy#{Y(w|0(-{FJWg_mbP80tY$&$Vkx{*&0U
z&T0RMEIwGUV;HfdZv(-&orSce8SKqgEOG1)A6TpBmzjud1A(n}^=w89*jUC5jh(ys
zfswys7xRWL%>11C)5ToIBsjlV>2~u&$)e%!KWw^i{-1Z!U*amZU(hOJHBkUmoPx`R
zLv<j1$u#ufz&hq&-x}U@Q4qYN%lUG6bl_o;7@lXv3Nm-^EVM)lK`2Sgr!-C*2Bc0$
z<lJY2-h+qIj6MoO)zFt~J4xEGr&&93YK$FJk0DO=`y!AfF3W$WR0~qyc!aN+bAps~
zQP3U_0`z}cw?6Ek1;=6wZ*iw{f#aK}uUvME!cx<~2y>ARXRyQqP67|)rfH^|>=A=K
z|CD&$AJf5=?bI@Un-|>NnsX<;#UXE>O#P<abf8@-<ZqSdhrwnxt;nYm5am9rP|HCF
zmWFQYicbO%L-6`bUX%n{lKr3YDjJw}P=>$X5rUSLU%883QcxW%Vor*nfko{{RAe9m
z`*{UBL{~S1Uck7a)IJ(yr@W8cV@v>U%D8oCo($x}?n?>kG`KdE{T16Q3L_~l%j8g5
z@E=K%ix8s0!<Xhk3m3%TRP+>NotFcph{vh33slH^DmK_$EDrS-c=NY@ln0VMU7RsS
zg{7p$gFFI~V41jbqiH|^h%?+L(pIRD7ID`1`MFIn;@tasoIr%q?($JyNg52O_dmVz
zPYNO!gCE0fNT6!2KpZ!v!Gn=vhUh(MP<(5VFOjSSi#Gk6DlgI?Et)&!!hc)fSE0R#
z`-C#kugP2QuctwnM^A&b%vLbjLHp%qqY5!8SL`!4c;1&K*9T*fhtpk)^RxMCkaaDw
z`p#=Q?D){$o3bhoBXO1Pzr`u=V~^7KH)}1}D<$FJ%%KPm5;WOL{nVkQQs4$FyEgD%
z&kBhYCBkpf&z$!vG{BL$cAna%4Q_spqsdAn=-l$#+;LhHlK+P3|Ekr27`YSOR)$KD
zScTemveCf!wVz*Qt1cM32D_zLD}!pelkDX{8eD%p>w9Ev8+Z-;&g^znfib}rkM=qm
zIBe^;mtyEcQs3ya90yf!-t+Uz*%caGB=%Y7-!p&--ysemb2YfV?|ktz7ajV0FdnaU
zLzriClg^VQLlI4BvUz|8hd#J@PMtIcI8)~<T~CI{!e^BNaWs(dbN_trhY2J-eN`iR
zfCBy>v)_b?&|vq8614(T3|>sPd(Ko)Ak9Z~6))EWY``r(W;?)T-7Wt~Oj7{=<Nwu@
zMFX7Y<!i5W1BhwQ|52Zz0OhM^*WU#)B<P5fUmsyW*C>yE0!{(j_z0S1fhvULJdM2Z
zg#qVt26clSDd4kZ;Jo9855vw?PhC+ogS)$L4o{Yo!I$Ujk&D$tX!(0C{lEb;m|~mc
zDWBQ+zoIPDF;fM|Jn)ZS`J5SuG!C|^v8urb&FJj(`?B!<Cdcuu7tNqhw=Xe!R0Y<L
zm@s5F=Bq^<@tt!wgWK{)C|;$?5cDlDab;tEQv=31MUBls>7+qbf1nb;$w#*x`a~eu
zb<408s~M<Vm%bmYNCIeoFP_NF56>cx{HIsKfZv(r?{z*Y!nwSgvpJ@mAo`K8@8B^8
zJXE^t>Jp#;TN@v#vbwXte$m@C@jMLBUaN^ZFE0;I{gYyTcP?W8b)20&^&DV++^g8+
zwJeCRJ&;L@oW|sDRfGte1Mr39_Ag*E5Y=FW7akbJLdlPE_LO4aC+f64Z$b(Vu`Mhb
zsSRMRRU%!Ie@$UxPGo4$dr5F>Abh9o=*CPO&40QRO~I4R{;lIXakyyMnIAvWjtQKN
z?tS8H0xHDq@7YF0;l~c=&pwH*ShhloM|qMlu<<?9j@sadN%!OfT9qx>2P0a)O@|Sv
zPLElZ`wGKz+LmF>p;qjZiNk|@StA%R%-MClPypOTFO(e2XvZFmO`j6-Fod`I3ciY#
zd~mj(+83Dq1N#+i7k#SO0PGcpAEhetKx$2$2H5<<x-Gcxf8sZQN0D+|>1JGTN{qTS
zf!vQhNwpv0ao2|l_Fa61X&mtBR^invdxtPF+bUbZcN_X*7R#_SWrvKpgUg+-hp|&=
zyK;$=9>n=CxlW6)f!!5v*Inl0*x)Xw@552sfM+G~La-z&FsnYCtO}mQPR_Bu3|rKN
zdLQHZxt%QVQ?l|`qxUq%=5P1vq=zol?0`do`_?gcY4d$My=O7U^g_GnpE_{<5#<(_
z`x?fbPE+W+G>?(nZA!n`>p*C<^O>f~RZN=4x{#T+h+UpPKTK-YhC$u5{wkMMO#95U
znT4)p%+mV9Sjb*&IK8DeG|FTZbN^{Hq_4e-WeUfy{n+rI26VwEPY$eNj{lA4_hqbO
zZ-=Fj)*&sRc8soTyk5l$KPAm+$g)E9PO+QUN9f=rk)JAVwuWs}b9hp7kqt&W1;2G&
zq{FLLLjND0b<At*l--fP?65L$zJ)1Fhb#wMmsvIzNLjC08NJ8}`70OY8lTgkPk+iM
zD1`;M-zH<hL~g+QAE(DLY0xt}SG;pCE0j#GZSol9fn!u#pHuZz$azzdHL1V`41YsT
z-8MduC>XA6kfcIE-}R2|!t5aQ;imD^-vZF^MRDY%w<ZjKmLm8`bAV53nQJCd7_xr2
zcRl!|0qcoFm)n?}@U1rXw%!L3;0!*eY^tLHM-sn&Qj6gN>w6bj$daOv0xwzIveY5#
z<m&RlHEv)p+1W4=A_m8+Sv2R#>M%KZwf<==FMOk9d3EzjfM|Shwo)kt;)BZ+PFeFq
z_F9|9z5+=&_@9f#E+-14+f~bZ&;`M$Y~uFoD^l?KLxuteHwE%#4J|y)H}F-*Dp>eS
z!=9l7B6=Umu)V$hXlb<w>@j=0v@LQAT>Dy;y7eI$*es=U>{baNvH!4SK*LrbtcG8=
zyG4dWI-+c1c4A<?=q*v1A`f=CCF1RO$v_n$@r1q?2c~rDB5_y&+*k+iZz&;zrc1<G
zNe4+V9<>$--bDl*GrUJ+oeV}la$Ll?q~NCNoqxOEk-%en!zWoE3fx~#PCMVW8D6P-
zZTH@-3{(}DbrlYEuxl<rKR?KTOWo$QSK}%Woie&Nv_TzI9d##}owA_ZL@VvMuLj>f
z%uqWw`v2iek<djhd6<&#lcn2IfSLVnJ3A*8%q-m6rKk$9vaTcKB&Y#XX+olIK!b?l
zZQ)_=im)|UB6Q`QCYV=gR_7_uK~2S0_S$nI*hReJZqwb+^{I=O9;s?UcN=1#nIgfp
zt4&<p|2FjHki1}mgEl19WN5wtWe`d2jL3UI2j#XYiO)GYu$sWW@78S<2tQpgxPobc
zi(j73r1D12$~<E&_DvP!8rs<gUuZ!>#P5*jHF_|bP+r<BK!#6WeyN=u(E_oAMNYV4
z03Y^Ug992ADAYN3&uvl*xQtYn{cVik30HY}vW7Zjgj~}7Qmh5ytgFIDRZQTxPV9Ro
zhXxQrax?ZAYr$~YyV=DRQ@B-@J#aiz1CBl&YRJ7rhgs)>X>&J#L?;gw9#KuGR*dDl
z6+{ExU!~`K=nRNE*%RMxs0lk0ea~rJ(S&^I0JGu|29z#cCf01#1X-Jt+R4u-z?FSg
zU_9Im4r0b#KIIy4&6n$?%?(wEKDxU%aLo*^2gqsclhA;_p7NWz%#=XU?Z*AGz2=Y=
z(B$2+fj`l5=aHm21+b1!58Z#o9OB2e-YpZLK;PxV>2X1_5NcgpKXt<#m~C!uEv0IZ
zdZ70G506a%&j#Jv{LP_t|3zyhGgWx(T5;X(I{{*=H+>H`HHXAgJG^$jREB|-w4>h|
zc!7{avXq@QgV|{&vx-XzzHGnq(a?|;%G$Ch-;&H=VoIgpuoDq#C1O}i)@CrNJHf8W
znr2{a+PQB&TLI4XE^<9J{Dt97`fJtY447M5`frs}9$=@QTm(lE?)F7CcgAAF50Kv*
zZ|>Ow0+&x;;y>4mzmvI^B=8x)&?%_xS;uCWeD0^Rczz7O_U^Hgfjxjodc{e%bxAmW
z^Ay`b^=W*^X<K{#4ShU((St9`Q5;SksNm6Wp2bu1t5WBiOyS*N#^3IK0*EZV*>TW&
z9<L5frCj)H0-~M)m7Y6<!G+r>ykC0(SE|bzFcsUFhaDZ71Z{rUXSaS-=imbFT3j-F
z9W#cGm?qU@SGmFDOXY<vLJN4~B*D+}v=Q9k@oTtC<$xW&KfV6*na9~w|HND68bbNw
z!QC}_tQ-EPWm!0G4u4jAyhMM}0G{0_=$%$x#RS{kDMHD!IOo(Mda1qvh;%33DL%J|
z#c%JT%g4;%FAWLtJ`wuxC#rUR!EP2S9A+C7zCMkoXVspX{-FnN9+7<6awoA}ja>D+
z!l&?xq8CxKx_VIaz*V0*HG=IHgh$sCCh_b80jG%x+aQ+xpRu0JASR+B#}R&h0)G+V
z(XO|o3l_}03*OGZFbB6yeKE`9c$iDL?et+?c!m5dZgF;CN!70X(nVwV$=4^Vq`&BZ
zkI3Oev#w1TSz>dLQ0^!$&L$Ul1$3abx>L7@@ebRcp<X-CKZ1YcoV1^PqYW?0Ybsyp
zzQkm!+Y&c9jo>r7Bxzf!Hi&ZvMRR_;kBdcxEnemu!CwyZN1xf)?*h4>ua-OC;^)`B
zVp5ie@iz%~M@==fAoA+x@X?g_xN&vpNW01iPW-UPJvN^XX4`L6mn3|~|Fa@`=f;lU
zPnLKJYz^peU&>^b81fZY`uErJyWS}7Q0P|cRYL;-k<9l|EN%GSKPT>cOON5t89VO0
zv)$k)8;-`zgWqwwsJQ)z!8m?j5wc=GQo-u$5F_R3Pkbb2SF&r;Up#TT(Wq%k6OQmM
z+dB96;CD~69oLnf#78B^ofH%_Vdj3Ie?WXMUY&|-Jm;Ol-?VS#I^nRvw<EzqCeV+E
zYOcy%mYK#=6YA!#$Ew5aT&2k2<pJD+AutuQcLwj{^lb6^N`VviT=uGd8p6Zp@;Rk*
zXK_}6;D;=mDd6ERF`iKH2cPvF$g9wv$1_y~4UOE%;5_uApt*bmPp7o?#SAXsm9JSv
z#fsIy^!?<sxY03OgvTgc{=*V(Ju5MFT}TZq50w;DSxn&l&DOyee*VMVc)xL{daDB4
zV7htrpGn;MwC{B~c@4)qS2T|`szAt8l|=5&X<VwW+_U5W3rZ<z^_$zK0vUIo?UZhq
z!D}cj`fF9J=o~TT_n8c3komBSRN*&=4_PEUleb|<S>+#DH%lvnZrJbmB;y6Vx!AZV
zkBt+Nu3u#k6O^Fyt7rAP_7Xnx<A%|LelGMVjqmojq!RGNP#@+v|HDZS$%pmkc+e%z
ztGdIFNbtCr_flEOD(-tk{Hd8SKXOUCgs0O;5a5Zy5mgrC)KWnit`J0;FP;@Q*AXE%
zP|tQeo)vWzC5QB5B4}(?K4q5=5gfYaX04UjQD_>LJ@bx$ibdVz<u?;ygpNsV>f%8A
z6XSYZeZ|m&;IPGe&59643^=KdxRBJsO#59k2{iDL?}%lRBG^$%<KKSeL8H``AF|9%
z=#1FA`vf0FNFL_s*WJvIx-I{7WS!lN{GU2{o7pOE<h{s>L-z!cJ|kl4SC<Srz4Z3$
zeQQNPWDn^ivIx?jUlz0p-ip$4Xm8vPDMD19UaWgI0quGF^W~-&@~GncLrU~5MR;0v
z#Y*2s3`sqAUVoskh>oV~q`m4;-0&5Dzott`pjUNgcWoUcB6fKbTf+^1(L`g~$q8&i
zZd<#4_2nxeZJxwp|6w9*PWutrPTq{_F1>4EJXAqrr#f9CN=eYCHA{;;D}%Hh6I6F+
zs-cUTCU4?vmB8O<Nt-z-i!z7HO#B)s$U*<`ts9amkUALI$!9H(_Uk-$=;6>rJyAd0
z=Qr}-_~GbB`->D%d$!m27!nPMDz2rMXOh8`tLXkUT_W1w*+Hn-PDk{L%G}dy>Tu>z
z8DDEH2|Zq|pVK+4h16=BqwZBu;d)Ta7OmsTC`o<2UBgQoRR?~G)HzFsEjopGtDq`U
zpM{h!`*e^+(y?nL+qL0IHV>Upq=xG9+4=$`b<qwYS!>Kj7d&3ieKy`lLEuOT)=$+%
zlVoyS<4rx#@^fl>+oO(hPB<qD{?J8RtNq(p{u+Qy;j$fOrHRC=y4U2Yb&-pt`z7m*
ze2v$c#(ITNQO{+!u53$P^yJZdp*ORp;5d15rO}v%!hh`{{c_hqUnBjKGKv6PJ3llL
z;%F!d3lNNz)kagtPeqM&Gax{Ey3VkIhMqBxHY=Z_qwO^^!Ow=wK;lncjA=0qF-nFz
zq&TSviyo+XS8Wd3WnraOS7_)Uw%Z-$kWo2{za*PC6W9-OS+YvfP`QtNfU2Z2YF$w@
z?(1a2_gMWI!m1|n+$+Q!yr6)1CQXXCMJ+%<Fg4EUk_HNCJYbeAB8`@A)8nVaETH&D
zV{36S1u>{RV!<s0^ffqpSmiepT+=Fk^WbV|`n<Vh>?jASi<MfCie~}`MJVE3nhI(l
zZ|XhaHi^G?#gC5=na~ze@~t6236ZQw(szqmu$*d#*0Yby;aFq!!)OyCl5qNgLbT>F
z-<x(3NkZn}(^8b@EUbV^j83W;|6+xx%gJI@8+qRp1^hfZAd56#ioM;$!3{}<MDyQ0
z49Ja&zqI$qW+Zb&pySg!K45#h{620c1IRq5()5KS(d~)Gjwgo%;ptR4Rk{?wR>yFz
zD^wI6U)5KX5D^A(b?3NtDnO91@Z^yzLP)h-Nv4=f1hPgH6#AVokP=e<I1t8zvSZwi
z95EAt_}Ai9GH#}D)=|kXPJ$gBwz3%Xw-EsyI&c44pb4m7oW5b>xPm*dvAyUr6oHi`
z{>#mY#&DX(S+Mu=44z=6v=A-6asKE-zN{J}*uGh2Uybx{{AhLWk=ymcVBg&#9=&P^
zZ9UE+qNo`+DN_njKPe2>cP>7P0z;Twy8TjPvJ#^>r~mbm76vKto~NIp4B*K#t*i5K
z-B_K5-R93fg+PfP^9bwJheI(!31QL0n9zxV%8)W4;7|HoCuXV-Pblse4|q&r4??@&
z^lsF-Z7lgGp6G#&Qd!x@lsSy5`Lp$RuMiCI_L@Hz&;vBK<NMH=CG7PcgKJl5!l2#o
zlsXi=4KgL%79BWNu^&%(!n?ABA&f7h+j~wIUN;cjswgb5Ev3)AMMVU{$+Q@O)4Jf?
zNjUJek`<b@U5%1sMWD{^#bEBd4xoJx?Z+7G5Uns@*CI-QxJB;Jogq5Vp7F&;s*D3J
zo2DNVctL>f!*@x)g>|6+tySX?l?(pyuo``K5e2Qm5w(;IZ3uX`BoUOs4LUv{`!ZF<
zU_Yi18^h2BXLX5t_vCrup3U$(BSCRUY;8aAuU`uq(mU94Gx%V=J5yX+KmrJbQoBjf
zT3{-DbgV~T08DRlQ@1Ni0;8>Fv%85F9O!yIMCcX-s0obHJ-7+H0zC`Kb98v)IbAw_
zPZ(@{f9Ji+m4d;R9fXBKI^5iyye+Uu1XOwJQ**XTgTY^}#UsIV=$xn6rsWdgzDD-H
zxEC_;_s_pIx!rWgIJAl5W|1iHo?LNXbCLzU@Z_*%G97%1b)w_Hh(W)p^I0vD929+}
zUj0F!!`p<dA%uV8u<k{lB}B+W{L1EkbsTh<wr||4Y$ypHX+F=?ZYjW((Pyor8};1F
z6Xu_yH^E_rLmsWEitsyGK0aKG4m>Z7_r0B$f-m_-o}@}5Y>TDmEYj&PSyeZD?2I%h
z7!^|UM@Ya|{45<mOox2o<?&y<TOfQNm&zptWf1g@3^|cbhj@Q0r_TklpsF;#y~R}p
zSgR=B;s5BMK4qkA93Tf1w>Fz;r>O$-U)#uY4=rd^bRd3uA`h*e-e)KSYM|{!OE(+W
zg3jn@&9`?I;KZw;rtR_+h@xUEago~a>R9F(W~3s#VCeF%?N*0yD@(&Lh7R;;>&P&!
z6M@Zidqj!12F&wb^|>sn3-&Q*VrD`~pmsK0sn1Ij{%Q?aGFNp$byL!9?hqvi?sp2@
z!lXjbjKB??MGs^W-ih2fyOD!xa(iONsW4Ho?RTrRKFmuo7x|8=Ky4l=r9hJgjW(jb
zrdAt%p7CMe3aG;A$6mcu3mQmqnPY)rhLFF!Uptvs4Qx_Zc`UZkAnS@nMoyg(Y>BBI
z=`2x$#0<Vyd}~ygPB<PsBVq#ear5_jt;jGd5qqH1hzgyyme~Qeroi<f_3w*9GIZwf
zQ;sQXf;vlO-^Xwa4pq(HnOGphdc9)CP?b6;5V~pG_X6l%$WA;cOaT#;zH&v90uT3;
zyZJN$Bni%Gj4YBNHX!F@2X*89%hzNkj2W<7IChC;<9?p3nmV5?D)4tkj*lA8fSXe0
zA7U9~@I37=A2mjTx-jl*S6dn2Cih-lC|wQWr>2jq<txG<yKW$JbtC6ya>OxvRDrg(
z=9_g<9<I90=ynL1fp~!XDsfQ-vIF(MWae!F6_&*Kt9)hv4EN8zv&v9jnRr4pTM8~~
zJ!2Y9GhkNT+{V3A3F`ENCc_uR!Jyga{ke|}FiM(k_IpKwSKKUd1L*`1r{=Is-PypS
z()+dT5)tN_j=l*B5QLq6lTn_#7$E84;&#D85l+1%JFfch!2bXM0RR6Kmv=nX{};z?
zSIEBhxc0ikwdeb|MkzvMR5HqnLW#_#XqbIf5+bWX$|~f36lGK>$(BfxWbg6o_wRW;
z&f{^;<BZqym9ERC8ovn;aD6Dhh=%|&&(u+a77Mt4X1`iq3{W+Ahp<JL2IZ2x^3i$*
zkhE;F*kKD0Az43C9V!V?FX|SZR@PBLlF+ZbF$9v*+{&e9;;?XS>QF)DGV0d5U%Q}$
zpkn!ycBY0XoS*i1z>u<ld@kn|*&a86vyIQ^hfRfHCURxstLGe=+i1QORALN45^<Z4
z!h|5@b1RoS`z%r*-7dX1X9Nti(~9z)0+4tpW$}Ug48p8@oEr>`fW^~-DZ`#0`rk(`
zkZop=H0$`C*eix`uU>h)XqgvsarWkRRWs;F6JgM}+W;a8V?x?5^T3018=_Kiv*;#B
zHy~95(310}2zzn^Q~T7HgGF;_p;2I~=%PN@XrE|hzQ74q?$O1RoeSvub>3%JhV@{&
zVaif+gaeYJx|zpH7SYQyaYu(i4<^^@-n@>%fpAXD$Jm%<^eJz|q_j{MGM!gB_c^cw
zuDvZGDr^;9N*nI@&8rJt{ja~0kFbF&pFvpYf9q(s#Lb%Ib2^|>c=91@CMzs_3o+~M
z+C=9!2)EMawBg#RuZEA<SYc{W&e%zu0e(ELu>0$;4dUWBf75IhnECcSSKf^g1P29F
z@_%SSsZZZwaA$$*rM4A!%9y~p*XV4yw-%V>y=_0Wiv^ZicBIVWSs<~8=pjF;36C4$
z&!!^_6hy0S_ocEzyp4Jo^Jz^;5*7;fyut!`c}YU<a_lfS|KHi844TjwD(xHI#{#^*
zx#4{uaL^fhQ{qS(6=>|^o2Tqpp(}m0b?)X4z#e693aU`yfxTAp&`(zANe_9Kbe0P^
zZmd>4Z`1&RjdIP5`)q(oSvj}I?u5R8SW=+3228{p|NS|V9c16jrn4O2g{CA|;ftIa
zkQ0}3a%VUWr21-b!?Ao&w$cBbR!srP*r^<WTO9DCaPWC+JwIG8pYG!Hr$CsBe8OVS
z4zMCTvwMga1imNv6dM8sa3*ynI8!d*{WFnqEI|n7ju;OMHISjVL@;5fof{b2Q*_3K
zgyGeZMWu#)WN7!^DmRJefo!QoJa>Z#6xWv`+#eF;%QG1!SMb7<`e5Ij>te9bQ!|y8
zMFQM%z(#8=AK08^HPj220O6&N^u1mr_|?_4$G?vsY!(YA$Z=A@6Lnt1*O&x{^O=e-
z@(BV@pUjrYAsP7ScfZ_Ug9LIq47(J)gg{5b`fW=b0US4viIYr8U|s&-(%uhvFtgv|
zgMTdx8LL^G6G0?U=-++ewSx#)sQLxo;E{)y6YH1d8%R+3^UjFqk|_AaGTmGcRDg|7
z{NEe($dK}lTAolL4j~6boX_+qg8M_2wz)nsbP%ujy-$*aA9=HavbM@lc_&$i)rkV<
zZf$U~T$YBG<%c=~A5<XlWz4c+4+U%)EJkQ8GH|admnLMR1}$}uLTO<d;6vEC^0l7;
zcB+OZSDMwKxX8<!gGvRtG0Lz0Wmz!re)3gEmjvF4q`%VKnqZk(=2#~t4+B}Ub4QZN
z&>%(Bh{FBb=k_Lcc~b?@%<bmw@uEPdxB`ckyf$2C^PZgaQG~G-&2P=)6!0Ek3^j4r
zfs6;@`8@GTP&iEMZno9{RpinrQ>_cv22Y=*XDY*YO};8zk_K?b5Tq-V^dZg}KM<U)
z0y1aq%ti7w;Igh^*4iTj2-BVn5KK^o$}kV1Ggmc$za>FfRNn|v=S();?A1V@lqI8N
zpaDDz!tXCM8-sEByu19o8W`VsEbmf50h7wLT$g<aO2i3AKl!LbM{yg<oF&6fkCM6s
zcYvQG<41=J)gf@Pf!_sBg1|jut=a6RaEYI!LVKzX7FP?t434Tns)hPZy}PEMUb0PT
zk5PwxcSfT`166=r<a>!%fCfAGU0#Ort3yx7W!AfmiXg#aHLe;&gQiDq6MKTxz+I2p
z{DDOtmRg@=ahA~FzHv-{=p9v<`61vfXik6&<BnVO_cZ7eOiJ#)sRG_g4g<qvNeJVM
zbbi%N19o!O)<ZvKki0R$rm7$UiTlnxzxRR$VnGL=F-j}J1AK}w^JM{;#C4T4T%*B9
z?m3a&bOq>6-_Ms?zZ0~~14h=ZXb{|nBevMf!`iHOm*7Qq@S1ASrL394L8=_yZb%mT
zocP}8Iy1r-v~WZq#}rikziAEy5Fkiw0qg@;km>2ph*d*VI8sl`j%JX7$vN&vL*g@N
zEa<|In$G}Di$UDhG)ZuqaJ=L%HHw@QE-XCq1F%6GRaYN~K~$;L2bSHRka<|2wB9NL
z=EV2D7gR-{xfcJM^r{3A&IfMv5D>Uc7Ramj3&DP+oVN~gFX`$(^c~1HCLpk7Vlq)J
z05v}QZroyMq1V5}!cwD+q1J@A`eg$j;H!6cSy;5w8#5d~^^_SwsA1<<!C4+yVj``n
z@9Ut)epCv%Flh*DX`Y+!tGM9c+uI4-LLcdw21M6J6+<A`-*5Bo<bc$KTTYg@o9Xvo
z#H2nsX#lGB!wNM<?2w9c8I>Bu==kdMMoKUB!P@!m2et(k(79WZz06Qbm$_3L#>1fx
zwMpv^#5pFQoUuvd)V_lry7au(Iid$rd&J}?H5lPWVb96wiaI35snB%%g)Z<hstIl#
z+D5odh1-MLt%x>%ZSAbEE<}1giYR)$fx-_M6CP`RMl-w68YM~xJmpNji6^b0SqtCD
zb)Q~DsN}8i9@Pc`e?Pi;<q9e<NU$}1Jd7@<9A}!g)rPGY<y{zg8QF7J_#1A0M`26e
z9r>6RjGSiwJH5DwGC1eDQ;Fkf`}<Eue{C&L-fcX)%CLy;r3i~*-oH?fSEjLKsV49S
z83c6gSwOUq6a&vkQ%GeeTWOK1CJ^KQr0ad0M~C*e3&=Cfpx!k1ce9VEV3)wKJMYRo
zn)=EXnO`-FjxF64n;=nvl6bFnSMWS?d{N1Pi=IcN=z&3Gl?EJa$9eE2%p=yplJ`uG
zi|CbDb=6%{4d^@Pcp$ZH9tEq9I%m<A5##1FHPk_YRMR_L>w5p{ar5gYTd$&%xWW@2
z|NfK9%LIS%_64*z-SwHrnROJLaQ4>XUow~y_C2&uTtu4D*}95vHj#td*<J}*GBj%l
znOr@+gvjY`Zr+j%pnokn4;>;w=S1r(t&7V@k!8w$HJB01RZsK>XA(hcTw%egW(7S8
zjAYwC%mkrz45J^vt3zgPtvHfgL*a@StBL|xK#A|c$v6#lNSnK@!%?!1aweV!2a2+R
zslHoBd%PNS6WdOU2X3N{R9cJO6gv#HPd;D&p$dJ?^_P6zw$Yn8Yn$B@9B}1{xO<?r
zDv0czawflK04YndYa$;P6v=tyX4k5KcJgdp#N5BT9WLm55V#XsRZjX7wN#)bg8uS@
zDKlhiM^TCActK+P1AMJghSAXVkmBbo(4<=HJNAPQHi`SIFPkd^KUUb&vWpG$8V;2x
zoDhJphT}hMhm;^JhcQ5l1qW|U`{L?^g}~<Em~3L468zDBQls{p10sIDY`Qvuhe_sK
z&M$^apd{p_uED?s0~rh&;on8zrZ49R53>^7UR;ygvfK$jN*esVapEwmbkFSKpdvI5
zT(o`V$qRbbtmpXMBq4FNUb_E-B8aa^$9}Ej1A(eM?&a^&AT%8kPW!3|r_QB6{i-7X
zM9GH@ocjoXzqH@iZ&ML??zec+I|bqD$04`T#(%nej&ks(xe~0@w7ou^j0c9>F_CIc
z^5AkVu=(*bC8$zP+Vvnr1m5JD@E&4RglE}Dh0XRT!^ub&+Jgu&pu+iUtBp!fo%UNb
zO;81Ni-)?*iY1^p;+^(^e|nWts>K)}tP0WlZ!Fx|lmb!VOj*)ZH7GIavll+725(4m
zO^51aAosAan#(yNyv<JSkQh^ktfd!r<(#rmuC?c{>sd1Bus*06sv|+`TN$3w<8r|9
z)brxifBL1V5v_FX3<ac1<BlzN%R|F1+l;zg4fymWyoIes15RT(?k#&2VThz0Y#K#{
z(}Af}FQO*A>FcfQdZPp$w<vpwx|%>({b=CPt_5om`nSdPRKVGCTsfvy6Cz5R)`GKi
z;H<|LI^n)5^z^8U6{u*z!9&qP5@~wiZ~Lfg$DA5GtBFnZv(kdr@T9rKd;>TirWN=@
zmI#A!m8MJ5TEJ20Ks(-S1m`JX!zxN7Sgy6bOD@!e#8&wuxM>sk?0G{daGnHRe#aZ9
zd#I37Efsk80)RBJ-%dM*4CBe)Te$x9V{%lW#w5}dYQ^26|JIV>fzVvfm>mTS2_fre
zoN2)2Q~9^yAsM<@Z+Czr5mZ#3UtHle179ZkfT1}V0#|yx!b(&?y|%FG=6y5Zc+o&B
zxj_Q;C#rEZT?)_^;5*mKWDb5SFZ?7Dh@cN?dXMG^FyI(T64o_`*r+<U9usva+v=FI
zIVb@O9udE4kvZskY(>@9s=~lz{~y8KLZC8|E?`P9hrHY8I7~QI;5V(ga915SOlS9}
zR*aaz*}?s}F$PL-z3<XidMFd*XKOYL#G66lT(!_aCj~Iqn#xQnoJFfV<+A6+%)nc=
zKEM9o+;Q#K)kE59&{U|#(cT=|zdj;^WiJvSOKB!{$a|blDgFnAk~A=Q$If(Nk2LV;
zy%yYUwn+Ei?_A1s+Z6c!$`Bc<#9`UPi??-XgTCjnj-wB+DR73p^<uFXffx~*$0I5u
zcGVY`fL#a3<S(G7$o}(v{o2?GF=ou?%}hep4gjt+Z-p)rKlsb>4?FB<!Cso#U|+-$
zw6>fnM1OZe=h!0WAx2hg&$qrbq;3Mey~w3@l>_RO^*QXVSh0%9h9j7zF?^^n&fJJ#
zg<h^aVuvLw*5NwzOC!JtM6Y@3R~}~sN^K!;3Lh)B(w42FmSG5dIp-(EudSnT9<A8X
zIu^`cB(PMv!vH?&v*A6M77<Y@=D3v$3zm2EiQ^d_1275u>;LiKG|Fh77h{-V#;nx(
zeAArtVU;=-@pXO_`3+eXq$Dz9HiS6xc)lKx`x$Uu2fv_$Jq-74^q8?y^MY%CR(0Xn
zg?`3BayfEyKvS<5nXn04(=n|Bx=>kuh}Da;k#73Q-v!^wgbncMN4iw$z-3F`pnj*X
z^pL7OKU`lhVQxkZ51A!(fExTEDx_?LuC6z=-tn3Vn+ubw|C^u<n*7{<<JEuCqx@R%
zs=t}Amf?v1zOQP5e)kyfA-yR&Rou|0l*)`LxmsJ51Zly~um?g;XJ+WE7ru@9-DSp}
z9=*3y?VnE^OxS%<@5vnfYx8d<OF0(oc^0P;_-n!u*E1Q>tqb%S2TmgCBMYWES8%^~
ziVEzv9y@dOF4040gm9wwSh4y6yy#RY6;fTpDpbF%(5vdRLZp+}u-6B5j)yW*fyK#o
z=k=d!bnl+Q-uMD`>_zgQBjITpu<v+zvft7M-7S@r*)fX425j?{nUw$W__P{#mcTY$
z``JQm^`0GAZ^vFHwbvB*#jF+6pT~f`$uvxY0ZuGr&0Uz^lLF3%iUs3a7%>BV7MJR~
z+*tf_;j`~76wvv`eDya2Gxo5uaYuOq4`zvbbM)aMG8C=oX^L61U@ftgq1U>2u{fz$
z&knyJfuO=mXSq^VY^y$Q;^H<R_Iq#6#~U&vP(F3{lY}Ze)|uV!uwp5IrLgJgaHkW&
z&{8`{=?xCM|1~AM?uj7QbZ%W{5KjbFmX{AtMeo4a?}$29Q}NjIvqHk8B6Ya^JnOQF
zD;Gwx#Lf2i31b~LwN3%M)Zr#2gR%ecPE5pX>as+UDE8<1E*9FV8VEX<IqkRL#q2M|
zlsadKV_B!)u|KN+$NlUcZ?;bHVIg`ojZiL$-8d}o{x?Gn46fUk%Dm*q%KR4EU`ZP5
zyw`rQHc<^M_S;$>6cxmrmlhm~Gzb{q?|zWVQiCb8lfSjog|K(_(m_XJWU;Q#C35L)
zYVhK}@i8HiFy=_F%-I~2!&0*8e7utCaM6B-NBV~d7SZtYQo()&tn%g)yV-PgNH+F-
zB3UbjRrQwHJ?~Y-PRi?svl$Y>Aiv@4(J~3_z@z2D_+VwMrG8W~oR0)$HKFIS8>O(%
z*!5s10adJb+v;h76d7uwGKr2+GT60!ofgA&YS?>=D`{Jr6nI<0s-=`i!0I=ye$)0L
zVoO5_Vveg6ND--^?)V~$y?+tZaD$DEb-#_$yfvZ$O}^c`Bl+YpADlzcRVxa%&+Xpj
z)6-Pwln5a3IVxar#WpJu+Z3$#qqks{j22K|93=<bQN&1d^(qZn8dzT`SH^g_HV~|D
zv<UYqVZ}4=ybefEu}`V$YLl}%aPjIc`3xQvtfn?Aspk|G(@ZE$EV!lz3`YC%BDGX8
z5>FI^Tm}_uc(u(_WoQ6z&v|-XLTcFE3;RYF<Efa@(Wm7O8-|b^eESPdSsf#s`Ww`&
zPsI|(hC6~AjA46+oVn)@b&NTuW%l-C4Qy^Zb4xK6fjwR0L2wWe%N(UxWDHWU<7J=J
z4buQ-qb)nk=tS(QsHU_{5gDs6<KR?uFa<p}uY%%sA{OYaIFYJK#4dhL4{%*K1>xH+
znx$DpES(S;aQC1pR_Zmyem;%{xR{*1tI9--U^PVhWUqt?&Rcf;_(Ow;zn>?EPOD>g
z&2aKEM0u>)LuvFi)eJhdgcZ>xHLU2_PqTd-1ni5tvze8n8SEtXH!B=b#S)*F%^EXG
zVBOdEx1aeJe`VGrinvv<$>&~fUG{kFjcuC2GaWOS4Z*Ez-BrSdB9zJ(<@vB)Bld~|
z+ccQ;?Rm|?qloFb2G#UQabS6Q_vqwu8jPKdQn++R9uvE9KdfDw5o5GErO5qH$E$yp
zbU*8s#ez@QDqBe{(m%IpuX_JA1*w-EYncWFEO&mod^BW?z9%VKQ2x9rTq|3!6|$4Y
zushn4jrlL=8*uMrJeMhGnU$?i?Uul@_}9KsOS;h05XnNqZ2(n85k@gTQS5<wYY(r}
z7?LlHd_O_}P#>?`pInZ|vQ3wo$Af>PufD&W9S$Qnt#?yWf-H#X&!<=o3e2Ew>olH^
z5hn2V9luWP03YVo@JdMZ>?~?tE+25sGKPyQ)hAjbc(5H-f=f1{b7;todNTc;5!khA
z&(>#gVj}}5B9i6jP^XmSa{Y=S{Q9C1jg!S;S^>EtoAg=qDoW`1XNn<=pSWzz!o-T1
zKlv%A!#RsgeZoBogACw<bM7&DJtk~EJA=F-J%b(%XJpS;=!1FG0rs@$ZMvOc``9Oi
zY1E*XayWoNAIkX!a`+_H>2*8k{0<Ypk?gD9h#Gr6`1~-5<+JHBz2Y9rEr<KR&;a)E
zL2|J!<i2LL!jH_;Y2R51VIDt`wlC|RY!+Qedz{di{AY%axem&h>-<2k1AX}Kd+R_T
z>D6PE>M43y`^aBawNaEmS!8{nO&d%+#bZvv1Rd}y0ge_UC{D?>?XtEuJh~DVh<T0C
zL+!>A>v)HeC1K#``U5S9w4Z8<=NzG*jP8sY|J{$maB1e(@mk;)Sv~p1VSpZqBeLC;
z=tTweaTCr&O*qW6x6$40E4}X<OOrruH^SA^gq_$m;Yr!@%0ZFO^yM6fCl+B{Xo#nA
z%qorw->pB+wfB6an@e$!gzkJoi}BiV@7SmyHXyd^U3@eB#JEex55`Uu{MuIW`E?CA
z08~J$ziiV;JtX{w9^2<fZFFl#yjFWhrv)@XzS{0>Wm_HnchVQNV66}6Lt9Pgu^b8%
z$6HHzJ+7cv97R4iV%t#HHg#r=NC9eW%Z(43kLkIgqO#$dt!S_5302*5WWas=(pg)S
zMJLJX;oSDNpzE1jdpwIt&=WpK>@Yq@C#yTLIn$d_qVDM{d%hAu-chh9#yK9vclf-G
zzS@l39+uR!a{ixF&wmg$%R-4^54xxGn^9HyAi35;9lUmDg~pT>qEqP~*!sC!kkY2e
z`K8Nh(0Rv==axn(`q2G@Ii{fnX=d@9cWF_DH?MauYZg66pH-8(B<fqyrJFlQ_57+(
zvN~wH6JLdL_wKsH#rz&wYLW|BJyjs>7gw%q*h^%TnXy%n@&RS}nF{W#P=+MMYNfXB
zI%K~+w{7Luj-=&|R9AB<Lq+($gYt41N~OBkQr>nT>g1uWQC}sv$Pn|B{Z|9Jz1+<~
zV)%soy`Q`cZB_)Y>F;^*Z{DD>tOs1~$37$cHb%E0D#Cy7CLXW6XhKK%EeR=$T}Vzq
z)W+eK0w_kG+4ZFT9l8eP@1?7|QG9~g;BjUJ7?u7~%C)l<@f@R%vzGKACTALFRH!_#
zxxQ(55&0f%L~Ke9_V=M^-|?J)Uvl7hcuhD*q8$xXG9*s#9z?o#e&#E9$$^Oj`<WY?
z9VqCVbpl!&Mu{!YVr~w}!ueaHc}&TlkgeG0PrIlQbl6UsJ@<$#B(i=wH)q*}rd2{z
zMrB7)0Ira3_?-Y@x0ff@Rk{(A?6#ZA${30e?OWaNPXMhm4L69!J?I49e`{lV95ol*
z6YrUq0db>JJE1Fm2<Z-Tzem4NpjqEk{RJ5aE7@4?+%br1y^`J(zxs_HJ`Gsi<d*@a
zQ3*@MPs1qx(G7`1=cf^c&LSjbD-E3f<x_7%M$nN9P9`<)W{_%)Qsi)~6cq1L+j=NB
zitws}Z=OfYp~f@o;pUZ+5HgzV<iz{~>C&8(+72$D=A(zL56?*eEkkGLgwRjqs{P+J
z2wp;mZwot_=}15$Bl{^X&tK@VhjHsq`U=`G^#81IK^$C?weRx({*CHXk6bXeTSs2L
z3KnLc#b7^6K*naxG&*G%d^lWr3#~EzcW+Kz3}TIsldPv^(1ygU^WI_x$Tdj!DoPTC
zlfE;B7KL+2EjC54-j50X7|-yotcZZ{GJa4$WdX%T`YXpCWPvvG_3s6NBEV2q6A}A#
z2`zEIr><RO1H1bUA%&B|u+-iZyUDSN3cq#xlP7Sn)7w0T94ZWYLQ+O%h3n{;kElp_
z3McsH)*fxzAq*aV8TW2n-$ETimy>EP?SvTHxkl?UJkSPoN+-WDK>A)5YRVWd2wk*e
zk@3aDocc62SIh*zM9)8aUcnDJ!QHMZR6Ka;S*DievB2(gXM?{~34*4U4loJf;pE#3
z*N%K<gNoM`&pQ9&q41TbfT$oIGI(S5Rl+~tWTEi5=9nn3Z-00=sD%f2jIr#?3@1SM
z8h?|R1ei!zUR{jAL+;@>D|;q)LK{Q86hT-Tt`^L%hA-p6-e)y-LzE8+-RgIEk_kXu
zI-Q{LSQxhcQV*S<<cDv{ZAEPBvS2k`;q)h81gf%+T-q}!2qCYM<Fsbv0gv~8ip_~a
zVVIcGpv1qt)aMeNJW6o&!u;X=1>!LI-g+}MP88I?R5m2Lsz90K^I855Nf24B7j03L
z0KO>?T;M+*70%8{dt@#H*0Blx6-?4_%(wmqvnL50gC5r47YV@rvfS`H7XdQc6(@YI
zQowfWg5^4!JUHyzvF%tX3o%-B#(R?*(A<~VUYMW=riJVHrnB-8a%^vO-(F2%JZJhs
zIY9+L-%;qUgCZOepH7;|)q=DR)s!VZBDkxZT#*H3P<FHXFMLQFHhq68U${*H4#)U-
zH62yhZ~daF>#q*n9QpY~dX@_Ap?@|CRn=kj8}L>%=t68ngxNrvHn_cY<GjX0f{F8$
zQX~^Sc(ED8+j3eD?)!5yFMKA$fqQ}bYi;#FvFl_*+a*J|#~kBx^f?8z&lNcS8Px@g
za3f>U$0l&ort;2+lLnkqxxZdGtpjgOa0)>`0KyNPs=fI^18~0`s|`<R!?O>`?<(DC
zAeW~9>I*j&t_@iHec-1Fq&=3!v(L<+U8T2W7atX_95bkzU!=ed+(`22Hgnibcj$W3
zr2+d7hfGoY)#26zqeMZD1sn|B<9X6W18TT-NwB9Y!dVBUrT0pf!1|E8F8@9S_6Zzn
zRjZc)UPiqOO-C&uShM>l@+X7QZP))4UGQ)?zoae3)e>T2wr+?T5n(CMFwOKZ4g?=<
zBu5EY!VlVk>DG2tFu!S;w`w+tJfh9UzGhp%9<Oohw+714x^0<z{>u#A=>RU;gu?>#
z2LC+JOjCew5v%EpH(4-4T&=Q`yE$mNSSyxH$iilSCvLaUPVDHW^k~ClGx%0g_Ts9I
z44gfNCv)cTW1F#l->a5rutvD@*)l^M82(sa^3)Q-66%GGSuJVMBjC!jFo1{5#uLZ$
zR`J*`8t+G+EK}(DV5BP@!Vk`6K?Wk?BG{=!jPuVHfD=pk?YL?#2q#qw%3~tfjKTCw
zNC3cHwvunz#;kBoU?9+WhbX37bLaPR69OHfgtuX18)%ac^p6XPV%qm!*GaURz-C70
zAI_{9bnIZg`_p9+%qC-o+B#wkeRX9yCg$B}%;4Vs#@8ZPesK`Nn9~^k2LJ&7{|uLR
zIF)@E$F1yr>^+Wi?0q=)jY7)om5P)~lavxNLzK!$kr|PaEu)mqO-55j8Ih8a-9lva
zo`3J_xqi>@xvu;9e!iau$@^T*d%I{=d)mZZV#RRLea}YOW>XL$t2XcQo2L1v3m-xo
zF%)f1nmc{f1TZHerGvakbBX?2H7X#6gzU-7+#|-oG$<pqwq=dhW#Ql%IU|bp^}P{>
zmd23vTaCNhjS;_Fo``?eCyEQa{!d0rjG$$6xfY8N3!cq1)JPc+#i%Q<=MChHpuN;F
zHn^V^w@y~*{`n<}*Xysz#ph7r_c_-Xu;9SA{#%nxl*Dk;+54$(ic~0w5_U`p;=<x_
z8%KrHV%R*+UAnc(5Izva<C+tA@VHw+Iai+;Mltu9tJ@mFUT$N)9T)g8vR^%b*IgXt
z>r)~|#|&VXDX}ZKiXVTs7e43wDUO}8PS^bt3_x#!&}N+_fDb>zzq&#R<kh;_`OVM(
zv=n-k6)p&(zs4!sd#5F_WSAu(c#Z;}R(@o?_aUHcw`QKRyA(bdo3-^Wp+IV0|L>RE
zgz!%Ns0_QCG%j4(=k@zE1=3dC+Z8FoxUbSPd*hf4X8d$3Pqw5$>5LUagQ5s}NvVO+
zO<BC;HG2Ai1O-ZdR+~tRi=r#1#I5JY<#6TKrzzUHKD;&0f1fTQh8ND<+}R)`j|Z5K
zHF?hHL+5N{god;@-kX_U%4wI!%Fj{DB4hfHzpZwEhK2<0t-8v;Ct3l2Ozly;I;jux
zUT-Sx?Ibbi$Dice){5A`(E4)kiazX|;~CiJCxv@o_B#%85b@DmNu|0d1s;Z4IOJtZ
z<He(@ed;|#9AH}*xNb#(JBdklfgfZr%$q9fm7|1%)wg-1!YDxPjrn$pOAhbu9a<Rj
zAz`xf@*C3@3Z$gy88ueOVGdh}VZ90&ol17zvz0Ueg~Jb;%XiA7#=;(ftZ_2#XYuCr
zzF+`l&y}}{{FBGr*Tt8IZYtvmxtqPGmkfX_Xh|yeo&pxB>b|>Rpn|2juS~_y8-lKN
zQ?ae1BG&n_Mz}v$LA#Bnid-%#<nt$7KmAh?FIeB`;GwGGf|NDGcrg{MhWhIJ6Nz}N
z?g!hxWL2#4&|%!a!wAmYEgM%LDxq4}M78+~RZNr3-NMUi3<=)zab4v~=p>pj$2X*k
z$Z#+_m}U%RqBaSx>Le6p{kr&>{=9it#>+=xCh+RqMO)!a5-M%ss?WQsiXYDz-nwLL
z3Z$x=Eq4}4NS1vh;6+l!ap#<h-HWDRqu^`t$drt07kikGrm3LKpU?+^#b)5X-hA?a
z9~qb9h^r@tmGKq7TOV<UIUIfwks=yL#v_-eN`o1du~0#1rGMTW7S8RVc3dQ5#oIr$
zDP}TC$6k-w6=DH9QM8TMmyBw~aV91+O1Q!8vTx$M1&HkoUs|V<@x_;y+3k%)e0VWe
zQ%4yfk9(ivzBv-sc^0dmi&n&xuAf;I+W{u;F9;<ikdV1QOvM`%@ITI5;vzl(%;ER9
zoE0P?r(zW)Y(ow`%swp~Jq@6CT<^h&cqI&>=4-~q(f52KyOc2iK;XCdsKzW26{1;l
z=9Q(fJ&Dp3eS|(QSPQGRCgKQVQOL-g1XkR=w*Q4IK-BJ2n*~!8(Ieb>b<-y?)Zh*+
z?9&I}RXOzOc%K4p#aipRRS|3yySo0C7eGjT&z4qk1(X`Nszr7b#!#yQ&BEsva8j1j
zkHJG8gEaq?pZ-9=mXu)wUM~x%q6(*CjvN}Rhfc1f2;!j;we(Hj%|Y4fpltgKS^Uak
z{<tVw0IRd_3tkI0hi5}u9{={1!E@C)JACf)BX{K+t#fN;Kxt#BkLQ%eKP`V+$L9I)
ztf=>qy<ujs+kw~1r&SX7aQ8GC&hTPV&KuSTE2c0Kui4pmLju1EY_I%9<;71&g4&V;
zO@Y|kb1nD0IA&$UHtTiqU|m?Nir7yRP}Yffwi+acwZFF?b1LJ(|7L|prTt7G>hUhl
zmTRJ@`J?9rOFIwNU~<0av@x{o2xs+wDuOQ@hhp-@c(G+>&%o(p#xUHF;!9=`!4!p<
zd!jkK=*s-abadJXl*YFtd^{wK)~{Fgvpe(Qoo{(h6#b2$;={{mn_(g3ZoRnrRfHd(
zT1+jaFHylx%u#{uln_q7+JEa_20y-&Z6Ib|pn_mgw|u_15K8=e`&U6r0KJA*PKNVS
z0i5@CUinDC_VQu-)4c+?^TyGS$pwaxSh7YkswSYwj`1VE5(V+W-QVr<CWeq@``BG7
zkAO+%oy#nD5%5DimqJ9J0a(^QpDQmQ;J@`jBMn_46o2GvvlMIqO{tI4&psufb{+dr
zsgy8!W*%%9mNfwGvc#J8DFQmK%9i(wilB0BR87ho3Jmogcs!{lgh?t@?w=J!(UeCg
z=2RpFnB@GUzg`eR;`WV!RS?5hmVG^AR0@dPOv=7HBZS>tpJ~Va#gX}1?|?TwKN-&G
zCM_QoMkj7!lvjlW5_X?<_G!|GlwbYIB`fs&|5H5pi$MyLuRA*gr|5%=bjz#jIU@LK
zI(I|nkTf!`jrM3A*N4!a^CcJm6UEY|MXjQK8MN9QLeSVwU-Voi7B?9&EI-H=z^o;Q
zCq2IEN>lYAUiFfA+g~x{(h=gRS&>5y)6v*Rn))yg$-)U!;@H#tI=1<>JU%lnUPf(w
zXx6-TM}JxZckMcHZ(E@P?ihWM^3Pl!F6FJ->#Rv)$a7{UIr{(ZuX(i;_UJ=_yV1RR
z8EMR&O0alzkcg6-dEPn3=!5FxpwMT|GWgeV@05zI5@xX{wa+x@!%1cu%Y3pdN^i5=
zA+1WnkCGan+Zib!YwkPu;-nm2i8RMn4l;VAI4z&sMS(!Kl87x5@<<t(CVcuz#@1iS
z*ACJs@YK}XFaM=H&c7ZiEUZ$-)?>mCX$A%$DW0e09IAjD^=b>Vr&aJo_vg^F&kW%C
zU7}i)h9dGAJ4ujaRq<3_);a#2hM?Yf*jap75toIZC7!QQMFWD-&bl>2Xbsf<`7D8m
zAzDnqi|T49SZ8L%Q$>Y?K3fYuXe*&^_sC#Pj2gc2b$XzG+6ai3+QzTFRl=eA!q=o4
zH8lI0^rX?)7(QGI+O)8jggJ$;1)UnyF!WMcK`EyR1blDv+Vq)(Y=dk>fmAgdxKMW`
z=938|*{5Z`av<ZgS{3VHQ#CwqIh?$!g5Jl9HYNk_k+H~un6^}_ij9!{XDQSSvdU{S
zVy4JwuCNtS8C21f923lGVGcrv7l%IzDC0RPQ9A}%6%746$K<+T4ktBd<Y#4+@qtD5
z@9V<K7@<8l^C8^=x;1KaUhyg8p4m1Zsc905Tnn?}B>)7uC3KmLkufMPO}(%{2|=T7
zLd_8X3r;mZ&nDx<Kbk+MJrPCPjy$yv1GtoN#xB>GjKeQ}Vdl63vbw4KXw3#ty5C`3
zLnC1|$tgB7LLLc?jG8wp0PYbrpT%mDaIf7z>0v23Y&&1u`L_n3$2y~oEkOyp{>zv6
zlqiiZ3;eqZ$^Z<nL^@shKtwrpy~|hGB{5DaMIt&AV1GigR<aNg3*%jQTq?ydz2IhW
z6a7A4?>v5g*Ip4>*Bw<z*F<o4{C_V?-2hfc^m6U#ds1=WyG~+(5OO-?4QG=8R`!w4
zbr#FxulL=hFBS!HFi~&3W5fbHt0s5b4#=UK*Jy@(tN=EuCZ8=lVF5Q10|ZWT%i-vi
zSwlw$e!QsrCxb9&4kZ?cUbtM5!MTy(vP^n@qIH-p^{6@AKl<y?DvvY<)R^(cbMoNp
zA8&Tg4x7RC@}CryLP?CTcJ0j?;KHX1ks0l-W>7qx;1}#HfnPnlcc(CMp@&PAsbZ@s
zl&mjJe-RSLYrOma@`ZEa4kpG@SwmAeQSk0W8@)HLcemHDS#sjLM)~NHViO2sPblS@
z5y9GTaq-`6I5A3`<!^$t39t?CG9YaT<Eei0rSI{asA#TivM<#bJnSb%bkv1WeV^L)
zwRKL!j}ORYT*gq-W44DmPzV!gUOK}CTxhxDT*zpg5sXmHNk;ty>}fpl!61+uWf!$1
z_ir+S>%_?K_HG2UlX8s+KFNbOAFVz+8&8Ft%MV7=W&|<jK-{a3S9wv}y0ZB=4;ALl
z7pwSX3Sy?VZqT+4KD4br5*(Lq2-{761c`eKqMVRfZ22vIJb8gS$3ZfL;sK$FX>&nb
z*=9t_+#`VY4UM*jj}4%0lvmPNPY}s1C1nljg2)`p*X!zH0Ic7w*Zj-`v5a@zP>hd&
zo2Sb^7tT|lgJp){pQj*dI68WKV-!N>60_~0DHI4^rP_zkdB1+^dUWI_VLY?xyPBFY
z1?+Z>W`%zgM8A+bGA<G#xHxe`Rd7llY9kNYHyILe)psa*5JYjS*rs3Ux%zNc$6te|
zn1FZY59-_r5yKj3N|=_1J_Hn1<d|p*;qMj74*6Db^slUP-X*IKzYlAKQ`&{_?3Ovc
zCPhh9J<(BcdqxkAD1}<hpAp7Ow7IkGH>HsK=O^2I)PtZl+8-}{5tNG`%(9b|K{ILG
z&3;=CRL5S3MX`%wS8G6<P>n3^FIl*p6t4%vUq=kAeu!e+V^xW6dhd?ABleLYR1eO4
z<+r^!BZdyHS$0v0^7!ujfo%QrdXSo#8O8fo9DhD`W84|2fZ>_-L40v~&^VY;A0{b@
zPAVzf)&~`FpixRWlK$Q<tx`1;Cn<F0XwT`}Nkksaq2j=HJ*YY;&=+t+8iRkOzM?oP
zq4u$kpsyQxV9q3a?C+Ees%F_<W40xsVrb^YVjF!h)qI?%K$b&g3*|Fj=49MBW?!6s
zTOXcIr>))pEQd+1jpw?xm9c;GTlkNY0?8JEMcZ@ak!z`c%1uHA-C>#AIi3PCmqWHh
zdMRM@+*rx>B^B)WHxpGQVgTOReo@}?iYR22uW*y5isyA)lq?<@z-Y9Y6m3)y{|e<D
z&p)MxH=AFpY&~HJg-wU9@)i)0$fq%o%dCzyMGkLMHK|}=B+MV^sf6mOa)hz~bv*Ey
z(7&0%2#&l<Jl@Go!tLY5H;9ka@gV1o;oeV1V1Dcxe|sef)iQdoOn0cGz)7?dZZU?S
zI3|nFo5}cK(J}OGwK}$0>#i$Sm;h-@`G@RQG79~3xjedG9T%3&f85BV_rO~z9Cx*p
z@rlEP{79b~>cs`+UA<riH+7^HCnA+m?)_2Ay<%$E+8^7#;AIX;)2Vmxp)#h9giS3I
zRWY9J)$s-m3piSPBvkXIGJ0qVJ9#sy;DUR_Uco5~*#7ra``9yO<Y1RHQ?4hYE{kTj
zmkofv&(|>D8_H<F+ZuFc8wp9*xhVw+0HFu8y|wI>(KFkl>hcRB-WG}7BZ>fS;`Ql4
zBV;TcJ5^#wRYaZ5)qR^L02-Q#GrT>?$mA>FmRcx}F5(UmTh;(#Lyv!HY9yhjX0K1X
z2z@`xw`|j4wuHFuv2F$q5@tjTizjQ+d-Nw?^Ym3ZcNBN}{IFEQaYMN0xJLpnaCNri
z(a)Ej?9jjMOGFo|>B{jZ^xkCpd7!=(AVy*JsrofVTz}s;Y2zV`?vaV#PtZAHICQZx
zpYD%-Y@6QgG$UY1ax;1NVSq35n+iH;@>rF0cfs(G04CE8<Pp^9Tnp^C(xr1j@z^WA
z<G1;6*sCf)>%9e}g&O_qn3KiVv&q_LSGmzjN$Xd{RtwO4n-OhbD1$oIC%@kQz={2~
z1nZDT=5YFUOTIv=6ngm1M9M00;DT}ZZVg3q$gpxr{KF!Nm-(Lf34CG0x<t8H_bX=L
z+);R@G)Wwtoi=_dud!m24!7@-U#8%Es{E}UMGO;eE%EF5v!b4eVBDqMrr@^G8#b{d
zg2K0Z>_W6y@n@`XVM&t-47IOUCwvgbaOyunR()0+xN2LLtY!kw^GA(*yM$1)sf45R
zEGsg}r}e%|HwF+BSUfXLz%_RM=FVwW>|?Z98KL{{6ZQxFW^x2nI6{-=PG&=V<o}Tz
zVg%_R)~_BQi0VIA;Oahh+(!=a_%Tlfzj)S!u+IW`^6J-OH#ZIp=l)m_ev}H~2Jt7H
zj|ia0puYCblbras#q|Kkgdwb0O1(jLx(~Rp^19sT!u1a<_AibYf_QWFh4E&7<nS7e
ze96dzou14;XXgx{OfV&R_y#|^j-29~3*p7G!EwC@^!}femA>*ZoFA{8-Xm$j&X0W=
zqUIEK1E@~A_f?ucU%0h<=<`>8^pIwDZO^6v!|F$SrtADzR}$c({Z;_)D4aTS+kgUE
z?omPOPx$feY{+U&JDoEjZB@*@`p_D)4f6i-qt4(mRk(+M`VZqJtwZTO|MU6X=?(%Y
z_Pe7=@P`nZ@M~ZlNgs4l^r|1!2;f4<k;X__5v;erdhB_>9=PB4T6m%*hz3obFZB<I
zVxBk(45sJ-ZH7;^<(VLwYngDdJ{H5CRi48Uu6p1?RgCHMrt|l4%tjqi0#6+lu`-vW
z=j!4a^$js0{FD}ZWA?5jhG(1=YMj*t%@Ps$z%e0gyGS;aro$rMHB6+kT^HsfiavO^
z2qV>34I-vxu&%P)@Jp#KR6I>cn|maJB$EyEKRe~Hjw9*1YK|`4xYp}SX%<BnJAub1
zt>tktDMK$RLl<0`l{_rIh+$yR<P}k41w72)Gdp%i7a}-?+vWr%&~dmyiq}{Xe}%0K
z`8MdnEuogNAG;;dwI;2f&5DQ}HFgfv5nVWca|gMuMhc^+Vr#%z39o$(J>Vy%2jQ(e
zx7`$E(3g2~>(K)wWUnsL)$-PZbv?Vh@O)WpuZ^!s3MAt|!u;cur+Q$=`(J|QEjd(K
zrS^%(DPwSX(B=d+edvvgDzG_BzjuqUX=RcM4lRzc4VCLdn(2P^2qOjD<bP_H#Whv*
zX5*P>u%$p!t}4qMA3ZnvUWcv+t6{+sGXviO1zPTR25tVPh(9(9uS9NF$6ovU!CAEi
z(Aw1N`}!#nXN4zMM;J7)i8pLZPJ$uS3javmcTEYsR>z<JOVq$*w!=4FPE+Cfkv8>k
zHxk~OBZaqr*TCl7h$*EbMzA~79~}kAs1y<rohzk@mvn|2OO6^t*xv75txw4q*ky2|
zmroP3-cbper%m8b??~s<9m=TQk=LTys(}yU?-qRtGledns4V$zWlZa`QK1@Zpet|A
z)_1XHpy(M_MABEm6?N;v(Ua;Jv(j+MCB__b;-|BM&Z*!st;jLQM-4kH*4~>0Sb+Nr
zZDqeS75s0MZT*a*Dtdi+CETq9AeF4cVsc#t&C-2se^e-==={&eG8X}?o+a85j;SDw
z=gig$kx}A6eD;U;0RL#w!^V;-xCISZf7AI%Q)++hO|XPY`St_c50o)%mG^Av4Mk)w
zvM3$2u!Id)<*rFlWgP50?y%M_k9&r-mU#A9!e;4x=R}W^u|?<i(_Kt*Sp4tPlM@Fl
zL2+;Im0P(aoMtWDHJ>Gg`8Ex;E4wWrs;@x%J533dMo!f{JS>i^8k-9=tt>%=_uksK
zP9mD|D~(76h~SOPzxMB>EFsT*n}&C<BEkT#zfn5@HILnjdNl(;;^s*d`=Efor`&|i
zP6*%`8_71YDgak$LB{AVd0f7H-0CBZ7hlB8Oyr*gP-8XIz5h-QHP{|39<k%XJ*x?K
zRp{Qat>ICuR*@{eygl^j@-cR_|LVOES8V~h{63-g8>R8HlgMPKI4deC?$gK+w1A+>
zBLXGUl4!A0r6G7b3tCiLjeR(24#X?JRK;{8FlzH*mfA%o)FTrXWM7(r-7L}UeX1B9
zy^@io#?FLZa+!Lo3Uu!nvkLnnB#MjdiwTB7jA&i=Z1q;SDQK3z{2Wv(jEoIuA{h-C
zQ6>J=+3^7rXxx!isBumR)AgO!+DsYo*}7-w4XO#;&Mb)Kawnj7ZdwIXBqOd!_8!;B
zG=^i{Rr|`_1@Zg*S&r~UMtrpHbU^r@5$qSKkKP|7fU44Sf!i{eFx>db?{xZ}2Z*bQ
z=+yFKX>8=p=ZBb4<k#iR^F379KIIe5&d-k`6Ki;Q2MfwYHow}unF`X%Ea_)>_^{PW
zm-Nzm6E2y3_(*$X2tNIT0t(u^C>SF)ckUW1E|7K1BXta6?Az#}XBT;p@V-E5;5{1>
z-3-|C%MBn}(wv`-n+La!Nga?h<iLjMssU?l1K5A-b>ld4<8oHVF+vR|`YLRFdZ~^A
zDO@&`^LMy0YA!@Zbvrj6Y_)oH!;%8&GL?D?72No0@B1${47@n2kPFwl^ntVUdS1jh
zH+HhS+<4l>hmTJ@xKe#sA8ae463%Vr!GmU^l2Rl5cs~8alqRD-Br_*jQeX361?AP&
z{wV?EyS_-Y&)0)LqzBzpI?vp8nr>HPA>eqZ+g}%3djAjlPf*v94?p_vdSj&{grSFh
z?&bZ~g_|87_xY6gQ7bF|<n91r%$uvv%q`M|gYL{;*>(JAw`ldg?1cy}<nDl${km|*
zHL`NaLjW%`SNR0fdj#9ar*Bybx<KTd?D7*9#IHL_4}X3vj*nKW8=lYVz!{5`zXwMJ
zG5$)}i^-jmST*^o>N`ybN^Ukkv1=n>E%y)NF}m+&HP!^oWb1&E&r{y(&xA0NWMT9D
zlMMFDjeXCG)d8k~(H{@r2;;M+{he-y<gmo^N+v_F4s3lTY9#Vg1kV?#+$yH$w0z;r
zS3UZCg7N4<c6Bkd4~@SYLHCisTAPaFaXO%_;mq<dTpT<8QYAN%6mik)&F)_XI#528
zo69;Ofd)M+?)^1H^tX~JRqxh;cN01H?;VoDww~oA^{-0UnD~%#Sx^_G-42)cElcCY
zV=hwu!eq2bytF0sur4?dw$^&k`O?x~|HNsVGUf^-wVrsV3;SghRkh3IFmLS1N`9mY
zR>)GI$Wae?HZ*k0Q|0l7u11=DnJShLHbuj@9w=3od<u!A`v}?lEu}*Z-(RKWt)=S2
zPf;z7lm3dh-8{g^V^AH9{e4=LJSdPjqaQK4pNR9Fk$2v|(ZKHHf^SES4Z!SG#MTFN
zE|%3s5qUB-@ko}&Sc$eF^qkL6<S-$jMQVmIkFgedmCK!(FrmVH!JNzsNix34HY86J
z(C3{sN=&<rpyPtvqQyKJZ7T(CnY`1&OG6Q7+hdHO_0F7HM42+4Y&UWruhGH;@y@fu
zbtZ7wJafbUKNWPK^mS)DY2hZLqmolIrl8Bb^^4@N3fkPNcPPx(!~@=M`Wht7VQ_mx
z-{=-qOuTej%_Um{Yqs^3mzi6D^Dxo<O}r{fT>sYK?W&HU=3fYx=y~Xt94OnAr-~LS
zAHq1>R59+Orc~E$fTN!O-ghRd;@xh+*a}7!`ge<`aIjm#?oCrNyIko0wh=G9O^}TH
z9{eZz$kP&{FS+E4OsQat{_n(ORwWd+{(j#$+Y;`liPx&`Qo%z%8O}}2Dd3mo!sw5!
zmT>bR^Xl(>Wi0sw4!is0@czGqJ1++;!C3eY@yjbRa;rZ-=8{j}3$dO+F8chUX8I(#
zpM=Xbxq*b&;uzVtC%}Pzj!moc<(PL$m|=Z$r>D6H#;@^M)a6+MpY@-N;W{Graovtn
zW+&j$3g^ITKTD`t%Dy8&=bSTbI9*elAFtN>iMDE5Lbx+Sc9E|FHZgH|ybRz%r?M9A
z{dBJhEbvh%*&>exao^jnZec??XP@D=GytAK2ip`yIn+GuM?2NYjLxZ{oNJbJ{<?3<
zG8K}+Xj0*=0aivFoAqk+@3DY0n&AwumnCtaV!KLL^*T+9CF%ED84KvyaycwxMI0}$
zZTD+D`Ipwd`stSEQFCZH^2|wFLJYfiI>h+NF4GF2R&>0|404BE*%v)UFq-R>?0mrz
zt@C#3)8;i(_;E2H(fPR$8fyA3#eQ0(aa6L+E^al2u%ZBoJ_iEoJPB{`sa&Kj!{tDO
zOcNMfmP_+r6TrWzZBha(OEmJE*}u&5#_%q#yCS%QAKC8-g`Ro7M7wnD`Ok-2jG=N|
zN%X@-K5X8VCfGalhc?(NP7cpEg4@)mOjDISNNo>NthQXCJz0;Ljbb!{2nE_H4M}di
z)6~QsF!7gmOEc84+lLDG_C+7|Z{kE5OKoG7<~3Sr{3J(chaq^}my+_$<3OSPR=2ly
zY|zBIf<mKA3?X~dQu164JLdG8+iAowVE*L(n(<NtINg1UePoplYdP6eK0ai`5Q|#b
zas>mpCt0@nXaF0=Oz!K+TV_JbnMl6RbiXhZ(RZ2<X2Xe>&t(f;Sny86GsX*&6xjY`
zI+=Zp6^Cm&M6+p|Fm)PA@^baTNzn7#n~$tmWYEgjWX*<NMoQyObdPAPOmn)p%!(Ga
zcY7ayW=9V%-qfOMJvf}idw;-$4Zm2aW?a3=iB2@0)aTZEa9l-mp}l|&{|5j7|Njh^
zcR1A#6vpjr*CvuZ?!CCSxO|VTA!QdSrTn5&Q8Z*1r6SRwq=BqTN};|-DN-b5XO)>P
zD;dB3J<s{$J?A{<dEd`trw*1Ye*Ad#<mt-VR$Y)x=01K;n;Rc}72)ys5X3dtnT(lW
zUAT#=9U@)aD7|lKA=H3^Fxa_0SX>uAU&t#KDB{8X^B?xE*(!|W&IeUVWja8MtW|Bz
z;l&d2Q#BbOg0v=%qD(&>xNDj$$x+FN?FCmh3%nP_uOcn1+^cmUKlZ<v-5dfqD|aKj
zTu~gu+EY%Od}Tn12R|!!fFO<zYbC^9m%!h9>3VOI8K6z!60`Utgw|iLrb=l@;reHK
z>Q-J1cv<9s$)<&Z?w7h;g`1=?TRuSfm?i_hoD`wjd=N&1MLFkzJ2Lp1Zk^5GX22mK
z{em;~A~-E%JKTDH4d%$E=e4$JLy6g3W7C)@zCGhgZ@#(~r#_rNcD7s_cwhdI)>0A2
zd)pYB3cKWSXy7xgw?rGNXTmPJ1WTa3vCkoOPDONcRwys~tPMQ_gQE-IB{6GIrqSO-
z2{$<(2~A>W!24@|H{97NjiD=ENpWYCaaZ%X@NxzN1jmCLPc5#-60J7@bDvf4y7!SP
zts@Lz&UEkJ{ZtmK_`FgN(A7}>yrW$Gdj{MW<G!68Er+*RLNcExs^f$p=bB_a9S{ga
z-6aEgl+RTtNS)WfZvJBxJ}-5^+~CZZoPh!=+N*G-d(+V9D<zR_`@j3f#=L%Hrij|L
z#VuUrbd<H-WiTV52fbkyM^YV>@XoT`#uwaLXk4{Ix1H3388t%-iQUR*ny)lwWU7t6
z4o>6ShV)@zef-?(5Ebmw|5Y8J%s_>5nVcuf1~7dP8}^)6#RJX9wyj)Ypsu!SM1i&u
z$ceBO%ciK|l{co5PCpq~9KLJ9>4Y(?JC?WJ^@=*S?f?2BTu29_qF$}6ZC(c@?rT#<
zPiY_*i>IKLhz<^`-K5Q0nnIku6yKqZRJ{6ev0Z3@fh|6|0_xA0FnP^5&T)Z?Th>l5
z@4di4v)_X~Mat&D##?jTC5ncsqIPFT7PYbNRf%5CIRfstZ&DfUpkZKa;+u+SEtJ?1
zDE(tUz&VP6$Zc*q9?w}f5&e{oV)FHDS5^Q{p9?SWTA|^Gm5T{VH>hYaQRNUFVF4qT
zUMDvp4QC^tJ4f26<H^R&SImbjpzqyw{u>T7Z054)V|-FU(#b|Y)W{OrLwe7N<WMms
zvCMSBLJ2p(y{&rwmSBJK5*+-dfu337@%&}-c=}yxC`MYsx14R2b}j1oFg8i1BUu(n
z@4N0d!!3cRJYDNjs)k*a(wi6lO5(_V#(wpEmLQlMesC;O72`aroO<4g;;TPDrGtzu
zA)3x;$uU&HlbzGu2CNhu^U8^6{9^%c|7N+4cPSzHL($v$01rM4Joou|fd%A7`BxXk
zC}PGDx^D9)cI-G8qvhmo0U~NKS(-Ej^nDw-@MPUGDfvaC=kgx_nG1V3Pd{0UF`8oW
zY-zKkNGj{L@l=49U&k+HE3Lsx3JxOgQzpohN%A@2Islu?H=gKvx*B=;qfO=i43M?v
zYDeFt5KtYoc-h-e3Pqg8?rA^|nf~Ca+@or9m`yVzD=Z|ie^AQysa-3{_`si>xMT+D
z#}Dh9+KAz&Q+`4-H@=dGm1<rU8JNM$Pt(y4M@3L@^qOp1OFenQS>f5l5hfU2xaN7J
zhJxH*<m3`U>Pc0bqcROerVzIC27FHyM7`1*zTcO=kYug!@yvM>D6Rgw_;HXA2aR#-
zA<jm!Y2F3SSeZa|oQI6^IUc;j>{a`=u9aNg$F}63ybfw_%on~pxC)DRDQQ)@b&^g=
zMb++u#&GPA{~Yr=CmKf@4bw$`kT+x)+*C_rSW&N!nPTNY*Tq+cSwtUM!(v-oamNT4
z!_r%wve@t!-`Vk-nS<ncjz?ij>_$-NvX=5If)yv^VtY<&jgT$uq;7eDAzb$6TMoa-
zf{Jb_?{d4w$$JG~bh?@iAY|*hI@`n*vhYLQ-hq}$ax~DldV{?ITsh_;d3gIWS-MlH
zU!&nSdH&pi%KmbFsOI=wvv72Yq#rd@4E;Vs`kW3bx^18jl4&1&RlY5fV%ID_-TgC1
z2J)M)_!Q}Zeu=jDWauI(NqhUlp1wd*Mf-%6_4Hso%5I~=jzv=Txik49WRbkN(tY52
zi7xnueST&fwn%1NVtTZ6Et3-m<hsv-F8o<_{d#cIB8iJt?eWDd*jeiKRjF17yw7FR
zs`f3B31`~2tMjwr&I6`}FLvkv)5$mS3w@b<pgI*7bb=jUrmWkuWr_hiU)^}$q4say
zcEwejS2(apH$-9aJOkV|c^@C4v7j4Egm?WNE-W@-(fg*x0I#a<rL4|>dvk4+SntD)
zF}owBr;@Zm=+f#7kMmj4Nco<VnKdtNNx7)0(V+#3WiikCQrWQMgv^=!4*dAyOzeLp
zI$BUEP+Jpln;o?>-X~Q=2%<#A0X6wVP0*WSsy?dZzzx(VRO2HQ4A`|klj9E^HU}~;
z`0#OI;^3td{$;|L-@K_u{U9AmI7}TwgI8e|+bK3eK@|H>6<jzmN(05rDnTk652_fh
z#8V!Kq5tL3aFJ6q_|g`hH2j<w-B(Lw+OC&CWx{Qbtt1Ubi*N1^Na07VxuVLA6e(=H
z-ldrRmI}o_yIx+nBZzzD-fs?Hl*Zc{znq1ls1O3bp5z~-;E34}k0M1D+0B!E^IfRm
z!Lr;HeqR{>N^~rlI>=$(n)_RL%&9P1S=-_{D}qu#_70S9m&Ye49w2Q&g~7Y+el5OY
zSpNRQ(8_%Uluy==vh<-s+3?%Q6O-b&{Z7Hr>zqn>Y@o|}?_DbND$n?(-I7F!-kYI%
zr<Jkk{N*h_xM`4lZ$M$2zcgk>2Y#ttrHWTC))(HmL4%e76`KPdGI+7CO+F$^4d>k-
zzVF#ahv1BCDbD}a;IzZt`<AX6*t+@e@DWE%*q!oV=gsSDu~O}+YpxItQ}`#_O(V3x
z?Yf_X$Fw}=E`QFt`<af?u0~Z_Q`!*M-cs_3s)+L(;x9BVYN5`F2x?#>1N_#--AO&D
zgf2X>BK&I^c+{%MJEmC&)_0scUhz^H6CDFfScd=k(I3YLi!6HZJz@{VjZYPmzbjA3
z-P6GfmnDz-I_ZPv3Fb#)hZ;&v9r!3k=%Tvu(abkB22g4lgys*`k#_JYG4)Iri)Z&=
zQTH=~!>wzb#|AV|zA4T;Y*`oUK0bKiptueSWx3J^C^Ss)Qf^*F(Ze*qBGZl2Ca~lx
z#=|8;N9tdZS^b~7IGgml<Z=TO?qrL)d|9MpSwlqg@KIfS6<;o;_}Cn@Eh?_^7HFcM
za;Co7D;-?@al}G_0H84g<einYu!-`dO0<%JVpolviX|*y`SNJ!cMmO0(WJfRk<mu_
z&f$mF%@z<XDOtn2UJI`@pKP|Uqa$xa9SifMB`7{yOq`t5#GT)3C623UV1vW1{;La?
zkS5=7GQ~v`o6`L*hPJ67FUy@aM^`K8GfZDM5KKodkF*Kj2u17@w>h5`Zw21U3!)+0
zXc(1nx%a<7Ih>vF8JM|l1&foQI?78$1vbO(SOY19k=hc!vsMr#CAH5pSshDn{)sj{
zErQja)Tf8ttYC+&@!qH<RXn|ZGGyg7FLvHZn=li!f_HACAn&4rP3Fl@^S`s=?VrLK
z)Tfqky!7V@&rBs$edl;%>yv46Hn_Fhaf2nuTz2^6Jf?sRHqL(AGP+4m?Xd$!Ef%oS
z*H+kWDUXcg{)gWyUJ~CZ@wQKPSpWz7+nmA;YjEv4&SbN!9|Z03oO)G1fK9aYa<IW_
zq_S4jn3|0dwyn34-yHxjdy>X$;vk7OJ9^Wy*8e6%9yD6sA0$B9NLHmhRSXBiA~i#0
zXNic4-@23~b7-`wO}i~7g8fWl?pEs@QN$%IPM0!={V&%CoWCrD#@||VwwKQn61-ow
z7MYlVP{xPO?K}B!*ITBp!2CQx7mGMD<jaJ}sOtwKQ&wTya<&${m?x%Wk92=XH3gbY
zl8lKa2dZ6Fl2uliCvwwY46Uv=0ZFTzwOR74sOK%$WxZvNC~Vj>bB<yHhZD0R_ckn&
zuX4A!Z`(0TFb@{_J#t?MXZg!twyeyNQ8t5gNzWM~wZJr%{=gU_uWhppFZ)fJs(Bq*
za-Sx`URK?@HE#s=_HsK5#>PoTZ{1zNoxh3Sj87M`w;Dn9WYVwXjYH(1klXd+p;N@=
zx@qsZM~2WjrOd1e`bnDJw)syccajKL|KOXYs3Ek;n{E1j>pPi}N$ZxLpCAU5LdES*
z89+|7_uiC*ujKH~W>)RJ6U1}V-F&qJ`XD76^ZtQo6{$U_R3qO%PIONX#ohMMhxbj!
zyHd-akgq<Z@dVh66AAgx_g=2mgF6*r%Qb$tiI~9M^J+t5#L-=DSs}K1pj6|{pXB+P
zD2u;ln)zjnF!y1U>AlqjkLr=a*I^$BPTdn*>z2oe)4wFX-?P$%_vtK>CquswlAAy5
zyLxz>xNxd1GOtPpj<6jIvTAQ6_Sls^J1zQ8XTsPb!|`9vAK4;zb+MITyZ8ODYSIMJ
z@5`&Uri}qfrv;uij&~3S>r?IS>r4`xTb(pL|6@RVD1Dpn&u-%8hUVaunMvZyi=#b{
ze`^DK#uB5q`Ula~qVC_{F+~{YZJFU-qYaWV%B)<Edx`tS?^xP~e-j)`XP&#8wBY!I
z#Q3R<eqy7nae}bI3{iQcLD@G-6RxN^JA`En5?OnjtgnX85@nw@FqyCEuq$%05}y4c
z;yOP1H}T99)E)hgWm)Jj#A9pra$tmTP2mm1H-Cs1KCBB%b~HHtCobOGY@B$!dveF~
zg1^Mrr8i++DO4D_{npdFbAmV*I`}-JZi$$zE6J!H(txI~S_?LYQ-r7bc;B2D3%vh&
zOt8jE0}QVf4gP%in`mp)+2+2R6<klnc&^-2hrpIcJU^K;#NOBtZ;J*t2-<scIFVN!
zLf%lXss5fN=FV|xb@*|Bke96E^AI(#&H>BD`gwwFIbJ+Zl?xh@^Q2!6tHSf17DL~*
z1)^Zn(w=w`Zs=ik*fhUS6?PUDEM$r;5$>WHzh7wc!r{8qqa#Bq@SlK=P({oNVREQ?
zxI2m;B=1)w(vPWtxm~!Jjub1H6}ixbg@qu^{XBOtj|%jAOtscsVgpr{8pob-3iR(+
zzWp#;8J1MoWzK4F!1anq1OJmE&>SOQGq6P&&fm2;*+0w)FVk5aEoow48Z>zJESEAA
zaei8^Y+VJBr&?^Da7sXp`0w|sHA;}7I<L>1<AJX5Lx!>fQsD5l<0W}Z2?A3z?mV>T
zhq9KxH>Ryu!<SpXW(%T~0BV?rvl|3~y{T<$#$#Df?r=C;c}597bicXCQcHmed;1+*
zo!7$sf%2rCSCoL<^gW?|s|aixb-Xz)sQ_nNRvCr9QG!{EkvAp_qM+_`=7!mQMR?xW
z8~H+18QAWB47y(}4*PWsPiZ?U!<(Ud{TDAN!=bW{VH;8sma8Q43Zzuw+P=jsBZdk*
zJS5%1*)0u;zOTI>tf)cCbvN5uZdG{4DkQX?E(=Fu_<WwQQsJAh<yE6KYH(Iy@AKmO
za`3Hxm0ZzkI^>jy{S-T{4u?+bM;*Q|5AiZSEpFCY5c~e{z!_O8ROv@|gz+gt=Ir*C
zIui!mIy(M6OPUUTl*d;JVwK?K_t<XgRvpk@t#;G&xE5@*c#zCSQ2{22VxBv6!Js`s
zyDFUlMq(eiq_b4v^2Iv>$*y{kljpr)q^}E?HgBhnSg3<tWz=m=EqypDFUZ!%st>+z
zL$2nwYruicVUkO&`jEEUZ8C=45R|4JCm-ym!J&!&S|>LcK<wj4rj4F4{Pf6AIoM5y
zvY}W3l^_FHXZbl>>6{59{XR6IsHX+LeKti~+Zq5R*yHuB2`0qfR}2+#(FX3;J{!w2
zePA-p>xR7u==SSm`>>h;brabSc<c0F9~WhOz71fpka6b1UIujR-cB8i(1pz3(KGXt
z7GS6Fq+d6d0YCaQ*z`LX5LP`ZG&*1jur#acew+aZ!nW26^lQSw9X<NLimbq#<E;M^
zBL>+0>S@Y;qyc|}YimAkw1%jOXZtd)YJ+a>U_8@a1)MXB_bnD$!*tUzD(@aG@MOMX
z4e5~wmq3wUMc=KV;C0h$ojy8v&@Z&V+ae9tYT<I}E!OZ}f}b}|odzOFqo>FyVL0IP
zWQX8GYq;ba-mT8m0IwAjsTfI45clAyT5`1pdEHsV3~e=#&3og2P=1Q|@8E}ukpU}s
z;JossL0ARiwuk2jtU_{hubm3FpB2pX3Z5~ZPy|KsU+afmr^v9xp|ZF(OIS2L@Xn!0
z9&RnRbB@qgNTFvATfOZq;dTApyU%Z~0ntm+Kc0nf;Et~Erqa(WK<_i*+w(#i?(CUe
z+QGw(M*FOlS(GiHsBlzDL|6i>S}U~N&+_7P^+8MG8bGdDP(;#05%|x!p@dhJAFU%M
z3lt~-3L?i&$nXilfnAZtW~&A8=?-h7t8xUen-&Z0*~kMk-(+^Ixg>yHaRY2M8s@Nj
z{ffpuVGh_7=(wVkC4jkSnSFOH%;1meu^$ePmI>d^+w;K@0yv#5{w-oJ6AU|vZcWWu
zqI6ebPmF;8I@>7prCv3KgpXF9RPj+lGkaOOy@ek?7&5)M>r9{{H^tnpzLO9UX1m*T
zf*;vgb`>oC%LD0hnc{x#FNu+xdG>zF{J5HrvMbMP9q0%3PxsS4lbd>+xr%%EaE*bX
z&F;s>;2RxmNM!bqo4+f~=DpxU^@|0A=lG04@$Q=+;%9!5i*YpWs6sw05Vp!oJ7@$4
zu0G7~v798+RtXM^Rq^4Xb!WVOlOe>L`9x`tPLqq3Xm7*Gk6eQJ)+^SA@G8W~tIc7a
zoF64_G6VS0tE|Ga{G|aj_g&V{4EjqB3^kHj3;g)ZAc$(NZvg*2>*`fLuuQV_Ho0{d
z3*d^}<VL?@eQ3?5uKdkpL0Wu%j7*v!uK(h@Q^Q0b&IJC+*~ZR>pEb?%P8SN{xm{iQ
zG4KBUy^d|x*`4fo{D_6DR44^y^BR0(-Sj~B=~tH%WgJM28?$)D5XR;D=Z^NHx*-4M
zL)K>*F8uPO+o*?C1UVZYM9#+RLU>fTdV9<&+~cmBwQ)oQuN_r5R!!H1^?Gy0`3u~5
zXS8E&>x3v?R#bn?)uaR2-4U{~k-TWdcOv5iMI1$a?;7%*)qxD9+G~w6{P-x>{W*P;
z1dgps*kon)k8A!Of8$vvfMR0hCV%fsqLe{;gw7%Z7Ti{s38o8Ss_VScn2a=v|D?<W
zzGZ;A<l!-iN(!DF0u{ER)wupY<L07d2C!@;qlasRai-7dq~w3Hc;(&ov6_PnIJ2$8
zl(km`J*OJXI?Uy8;(C@sjuQjQs~tDJqKIKe;-`0>GV;hiH2T`piUIG%oiF=2i6cwk
zO2cP01!OnQvsrDyfUKMyE(*C4*g7dwc*a^0nN9l~nGOt?KG??7DkX)LN1nx(A6CLM
z9UZdf`x#K3R_$VvA&sTNXN33UDPwD6mC~zJ1}Ifl>D@Gw!I2`H?xHCbWW5m4aI~2L
z{?Zn`oxf#~%|800j<p(U#j~c;G<85i!}iFY3OW31V`6wNT^;pr-r;|FLkFDn60Za}
z$zwa$_Hd6m4eZQ4OLWTV!n-XE)%=?k&`0F?TXjbo9w|IqtN&UTI*kPFd7Tt-VkkQf
zZqboOt2E|4p$F^e4Q3m?l#n(5f!DoOO*Av-kTck#5B4>2OOpP|Xp-yQu==kSz9@Pu
z_0!4#8oD{g`9oDugfm`n=bSc<`O)HioDJbm;L~klQL1QZ?-o?#!@yFf4{m*@jUZ&^
z(|Z4CHGI4Bs$uvc15fZjnsk3<49VG>e-<29$BS<^YIfH#aG=C*ROjFS%B=S1WOvg*
zZ{zb5xgQy5JTE$PAkY-nMky`W$WT$w^wC&QIs<tfPBo@}Wy1PfT?<=~ie~c}iT&mb
zd{TdeE}(A?o-TLuwh%OYc%kgL!Cq}V9CG2J?>PcaINr@wNT#9js!L_1Q<_-+Qu^Ru
zAAkb!-m`@zG_3cNFizB>;~q{cHQNb*<6`YMt#WDTvVAPUM1_j6nl<^c{uVGe<SAaa
zpN4~zYqr$(tD)gnjJr^40lG7~8<u9NNY89Yt%y}YYxw44DQOAeTXcjiT&P$lJQb86
zu7rb0aTy<N|8bvtLi7Dt4b(ViWvl*B9!GZSc%SyNgx!H=oC%5Qs2y+bA9qg{l{E@h
z%C=cTN#3}p$0;>5dtz}Q)>H~}Qcd$df+Yl=zo^6Mpo&h1Hmznd#BgKT8;(dZOW0s@
zG4&0<3XV<3<_9EFkR@QUarqxdAEC;(->6VRz2aR_T~)kT8=jmKe8~b_f(sQCk18Td
zzGE0;8z=tgNVXd`v4D&3r=#qZ74XUJ#L|p97S!wWeJkG$@O<hI=~22C&25>pp#}@&
zZdt+7pa=ky9S|#Pxd#2;s5yqXO_LTw%a7XE0B|PlOi1rvjZF<vF5da$WH?cLt0{;8
z|Lu*HBl%JoX!D7pCOkwg?Yw%hD9;??);{gLaa{tF30dVmF}<W!Y5+?>w7+zxRG%3f
z-koOHk|%~91z~loihD>NU&k#j3TBX@K(i|u5J5T*i?^X`H(9c>$J^G23H51q7hN|A
z<FjSH-Y}JJvS`ab(})MAz^a+et6U_6YTGxkIt_P|VLjc^?qeokIqmuLsI&l59+odo
z9s5CwK0RbPXKDgJeKp&?KJubp=^eNE^j>oAMY7YuOaFMYw6j^Vk{eUO^~*hCfZP^T
za;dn_7;Xmc^@>^HLUzgPol@4nNQr5yE#(%*pqC;nu;T<LCN0bfB&3d#<o^7R2k#oe
zzM<`Jy#DcTZ)IDJ>D38x;p^(EN2`or!FOqcmn1uSH*2Mig-nsAY@Jg3j~GG>ou6mF
z9vd>{cqTRlO_M)C*e<He05Xh&FE)m;V*BMaLIW|g<a<Kpa{pEXxabjOVe^{>zY1s>
z7v#^Ao$Gd8h^f|x^zK~I;zSnwmN!LzF}y&U2p8PmY^4tx6AxETI<ue_G0h`my+ppy
z*0DByqX(lZC+SY>{`FJ2$yYB{NXA6ByN!(=_)sY3TY&|;Di&^JsIp=yV}sv;Pyce<
zV;S$UegEo(`jqh~Hhe69U;LT7E_i({+_#v=f}1Nd>Yn~)N8?N3X&M7MP_`*2I!BNd
zcMa(?Q%-TBD7E9iwv#$=^elfu$R$?nw05J1tXYMIWrgFNB03Ov9xbhCY^d?_Z`bkf
z+~^yZneO(80Vk7%ZX5NnVaBfRzk_AGc<PuFhyNA^@D0SN)|a#6(L+4b?j%2IoRqnC
zeMB2V!mkB37IEO2k<YuMehFfie*V1^mfFx*rf_?EH7B}wKk~@GLqV<3sf{A{v><u7
z>qqG_7Y@=_Jzo4Nj2+$4H{^u0pe^6%b*eizuE`0w<Z2;`#9oKD5$7~PIUwpw{Wl)W
zy*So5R4Rrib+Q<C0-E64@pB|Tln+n7us5D@lE5|g9(GSN=}@e?YeL3G0N?JHy;8&{
zh4rmZIW27IkkQloN5o7BU)x!p-aH_UZ}x2VdbCJ`fTeDkD^DnRd8v=HaX<zSf6`aw
zsiJ|Oe0mk7Lm1Uh&2N(yl0zx(J>iAf|MII-c|x$FC@R&MPHxbaN58}|e(y{gs683G
zrxq=S@7U8GW(Fvr@6KxpW+gP3t+=Qf$s&QxB~2kk<%&3(Y+BeoLW4Jqzv)G3lE}NS
z-%wdm8K+~ZwVVFwd@}VZ;jybU`b8WNS-h!&izjwmo2#M&SI`;_acvoN?ye6CR8d1c
zqDb)daZQM*bM{<RTZ0^%8pR*IR!32}pXv4PT5xtl<JA^oEsC5eOUd6&#bsAB%f!Rl
zpdsU_dZ$z#k9^+Z)4@kauF7rN^gRqv*<7%%?S}%2|2Ac1d8&zb?whWY($)bN-WY)*
z2_<xMJr**&SsPbM{~Kid^UcyE*1TY6Wppw=R=v)jfeFW`@pC$Q@R##ZOk9czCKl^R
z8q4V5&81$4Ie&d{(L8qBr9~CbZ9g>fw@3#ahnQ)8)dq0qfmxNFggOf4P$UC2bn%n%
z%=;QUBY0Z-f(*6Sz`V1Kw=9n9qG0}yeJQ=h(D2mud%PbNYwQcfPABPN>glx;W7kZe
zwK+FiI)H{DtMB<61?wUYyH`|(2NU>8VsD0Tpkvt-2PHsS7rlOE?>3h)2TCpXTkRz}
zE-rYal$_B)%@#iPM-2qL>bV=c;glvW$9z7<_ke*td9BVNF94YPgZ3G{)<pZ~{eKq}
zv{5RUwjdmA0l}2>H;gMZ@tua!r86mXq);Wl4TxJplAm4ik4R0VEhK<pnFcCJWXsH7
zw*(u_+>E^}npo)^8bT>l#s2{S0RR6Cmw7nUT@=SDOO~>aWh^t6F+<kOjIsSrqOv5V
zl1h>#dqQYmluBC2OG!yYDUzfJbCB#3QkIHDQudH2uYb>To_o)^=RV)>`OLAKS53}Z
zLY=p+QZlg;Uu~)x8HrKDc*7X$L+mwh!}>{jvz0bVC9j;938G-g?ZIv2&1<06Dzw-~
zRtq0Xp8N2;R{`sn*8Ha0uYrmuLWzKMG$}uk-nCH%U686oXRLwq>d((h*l6Mt#lI$x
zt;F$7PSv*5VM|DJ)Rb>}se#AVZ*;W2Cx|5{#r&LZTY~wnzhjcB>KL1UFs*C}57O%d
z9{nRM!SGIa|Fbiym|1w!K-yxGE88#_JKMe*O#i$4GvWsYqsH15Vl#WW3i6kCFWa{o
z6nXh?<rgXASW3W^PxQOo@a6g?R+9jk{u~wA5;E@ZSpUUd;XRRJeD;yzaezQ28OBt<
z9JV*p@0N~yC2U<rPVEr_sCsx-tig<g;@Zzw{&(&Nu`Ww&=E+I|j%rAP&?_lS-l!dZ
z=iMmLFLQvm+|B~7+|!lbeoO+Z+z%(`X^a!s@^tHGg3W=IbWvmA?Fx+ezHRwf<~U(G
zwxHLWVg`1j%`sm@L~xmP(Or?`ae}qXG$8klDR9E+FXa~BB~QbDZMNDtG4qF>vqi`h
z+FSoEDY?#v384pi<@b&eB0-JO={6?tMQbKfvzHeuJH0m!b&U{lVUu=SuX13Ymk8_|
z`^O!5RjvB;*-xTcwm(SWqcJF2uG%r3`-fW@YB6FGJVZEWT^35yGltgY*NN2eX>Qtc
zj@Yc~AQ73nIp)SWHvCy=YucDS$vy8_=<fHqpP+<EI~RRrfrM47h*#4X_hbh}f|1`x
zjO_FkDOt+`zn_0~KBWKTzD*_8^`!R_XT?u8dE_u*it+Bz-YtXNg(RCsPS|I{%-^1T
zNRA2aR)!Pl$zQq5w{17(M!N{D<Xt9p=ZxS8dw9he&t9(htkJ1Ur5}jcmp_uU=2k(9
z{iM9^nvdL}Pf8#1yWbH`oA*hCgsg%vuiPnW^arjz@5ZxwcCAEfQkLz}VM8d?72W3*
z(Z=;^IV<4J|CaFG94|!=Fodog%gY`M&D_t`Vmc3&HxU!+gT32E41g{jpLtNSfqRo1
zd3iXYj<~(F$L(jR0etpcbzYFanrrWLCytU>O)y2hRy57)gH=q8k8WWF*QUVpU#&nD
zp<>hh`^$NKIQ{dD_ExDfuGq}_k;?80;&kkv2q`&z;MI7|EpB|yjkY>?DQrbKaeK?I
zCGlJIpd#gAVMTC0_fYMDyzd%ZqQoGDr~9}rEb(qzotgWPyJeJYz3Ej6;jm9Mv@2H!
z1aq73+^I<CKG13yPyAj?e2lo{;q!GR%-S?=AE>{<l|6jr{LuL#B8!q>yh~*zY@ACK
z$-aA$ySZVQY?$<dxVcB_dYqd!oL_&F<1gdK-EzYE(t_{{Lf`6u<JSx=D2pfD$*GaV
z3?+ebs{1*S=^($>V3YyvYnbClwqGJR^3=fn{4a>P<ZGVWEEsV29c|g*$wWfv$n>E<
zCtnbJ>2~pk@pKRrY|A%)cZ=wq>GytaS45ok+n0H7NE2)hX+whVU1G_5czDI5nCK8T
z*>iQBCM=7UjpS>-M;wp-o10(#l9<2t*RAb74R#R)JKpF%AYNKLbBKv7C0xgDP`0d~
zfu!{3OaA{oB7(p16y!&6iJaWc6B7{{U{N;dOclx_g6e0#{pmwubE)-oLcco5Pq|Z0
zcRV3%WIbK(u_}m`uzUp-XLWF!jyf1w@st=Z-5eQESV;^wh{#1Wr~xT$_WhN*XN1=&
zipojvD#BQ~FDS}d4V=jFx^BOp6ZRcTjPq@)iOVXL-r5za;QH9pK5KI^@o$R3e_~%P
zQ52`N!r4+4IKQJ@gL_JdU+r!UvK95j-Jgd{N2{oiA0OU8d%z_g`DhCS?`a}hM5tFk
z+EZa7=&8)E9p!{ekjKr;jAkNCApWT6dkRdYxjB8{uOylWZQrc4Y$2lhRMzeDq=0tz
zyYfd}uL$vCv3bSiZG^Lnn^wVh6_`5F`QOi;*F^bB-_=gS?S%Ix=h1X=6}Z;)EM1FS
zOI%2qf4heGKp1VVojzo)42?Wn3ol-+CzKm09FhD^;*s*@qtd}jaOKk5u+DW&gsmRW
z>yy482^|w&nJxDf!NW@Wio;@k5(B0W?y-6Z&v)bF<N-2F{k-@zaYGBS@|*Lf`7gc1
zr>HE>W(FDTS6%h;Rc|A7G_#s7mh};Ww&r0y2Nb}JUDG<M(@tpTCH7`F^%Kc6DbfX8
zc_>;Y$sOGPfw<joI<ZlHkSOndsK%9)hqh3$y~Sgl#8uVzN7U{O5uSq0GP8biP-SGh
zHTwBSBAF8sl5l94_{JV?bE}bsrI+dNRJ?nL<2qBvBQ}l^+y-BfSuI&mxhP)NOa4Lx
zc{#o}5t|_9ceHR@<4NGM+l~B(_bZXR<m_V$-d{u?&w(w%JS13ev32-|(g3lf|M85q
z_B8RzrEy7BhzyYbDU^2~93+_GY@X6<zloiyrDJA4q(SV(5Gzak2O;S=+*`kTj#%EA
zyA*w;q3o@2!06O4p*>|9>}URu*h}$GeKsNmd7{Gkib-RHzqsDp;%Xj<r_G<sI4lKG
z^VEuy?h^!Q>Y8fboh7icQB2!pg%qfsdJymL_KRq&*s?L>F&~t5Z_RMZmV_f-%l<1#
zoF?9@g>Z!b2!QUDU0;?tN`gyn)2ctqX9>RR%hyyy3xU60n0GOcB$(<&mAW^~5h*J?
zRB5iFP}Zhts9Gig7UHRSGadg3hpzSYR%gXvm5TorpBM?)W8^bdufhu*PfU4!MM=O~
zzspC>eI#Jq+{@|o(xu>Z%EQt&LJA(9nMs}5ApuJl3V$6^;)h=S7NPPq88~-|QCj3J
z0mc)JYO$e$ATlC&y>gix%zyLDNxdooCfmOKmJk(&1iksEvriOY%irIPlb<ADX#9SE
z&#)+1ZcOl^rz^p}EZyWl7fG=CBP2u-7l+_&I%PZuD9~8%o_0t`3T&U*<@mmnfVQ~M
zx5FG&cwuu!Jm!xS)aE*LzpRsj_UNvQ_jJ|aQProNfhIB#qIRx<|CbD~-q7-E9BJS!
z-~a7i2MO$g+GJL2l>>L{+~A*g=x}NE!oi{+a$q;%evLh@0I1a}BB!hk=fdoieb15M
zH2qkNUcC}DR+g?%s?vcsuG7xNua$wZwEQy>LIJCHogRJb^g;T~+dyXzDl8FuP;x?9
z74}GUoE|SSfN9}Bb{4H_;Js&7Lj1cLO#jZPmo-=gr!K~r^H<W~!@4$UkvAIPU!z)^
ze%A;t@5&2)zFG@Lj!b?Isn>*o8+Qly@UWoy>fw;<J9R;$(rMSzb_U2Z`^5Gcv*8TQ
zBdPA90gPYnk}w!ptUKO&yDQTe&Obi)M%ct?aqd|+7k=o#4bmNM;Adk<4B?iR7_i|4
zM#}ZI>w&JrjZ$T04ix=M^9=Mffq+O(uY0XN=#Ae_RPQo|yLHTfr7z9llVYDv=NSXI
zsJz=`hTj-|D=R(z6$3D~U{9}?Gz7Op>$u5DERdQF+7_y52@=&YYbd^kurNyZef*yh
zaMatQ{cf*;qqB<1qbCd@JhL{lRLT%uHt2SEcU!@PL9E2(&4w`KCX_Pnp$qX3`f~c-
zTElp4#-L4)0o<c=-qje=p>b7_^{s<zfivKik+RYNo>nL2+5e=%cC8Of%B$8w$E(9l
zRTlc-d3+$Du}T(B-*_jRQ@s{W@KQcDtk#90*W<5hJ%!*|PQaUe(Q6^TSYkM%R2#Ni
zs;HBzz7hEYr9ZcduZ0XlR%Nab16FRcs&N?n#oc7|?8EyoYbX?|GTdoSgXp^U!}eT3
zB+C`ZZ>_Kb;r+Xmd;`^>zaYBYUrYkKPfW-D;j@C58_o*yJ*2>nnss#!lhR1apo!_O
zT?2AEMkI#?6k&Cef7r@0Srl0tq;NIX5;*R2{fRuXkQ1P4eJMj8wO8?P-rBty9^{2M
z_->ShEBBciU*9X>J%d4|YW8Ya=8^v0@s|kr>>QDriXx+V?UlruQ~<5e8AY}LA9!(w
zE1Db07(u)B(@q-TYmNSoBN?-Vlguu=cdcYps=8sihe5#2yqlzStM7zv<L55OC1aud
zb2m}2fIaC~t94~^iFbxJrToEUOgJw(d&<uow%05EqDc2~r(Vif<Y<zyH`rx9E7J_(
zk~%lFe4pU9mj_<c=}|zw?;c7QCrsf^DDU^vc5~cTl1JgaGzE0tdb>H;-V~}%KWv@$
z;zi#hcWvhmEXFT0YCq+hfX_sWVpJs`h9v)YZ0A-5yx5@Od{f;7QpLN(pVbRu)WOfo
z?>Z=8=Y8uJ5AJZlsgE~d*+pS2E~xR$c2mIX-PiV6(Kt|}$aWN8z8pL6sU%&#pn#g~
zn~K{DjA71-{nvk&80rvm`R^MP@YvIvanp9j;GD~;_b3;~@>T1!?lQ<Y)8KPy_YXFV
zWluT;zmmW^=dGW=NG0PbZr=D{JRACS?UUENl*HM$;sIH@is%Y4>n~cep(3y)+vkB4
zzLs1SQS(j_Z|xl`*!+hD*~xc8f5b`SZqCblb_q(T8t&S?r<esA49%A42pRN#R};<g
zRmK#a1?%spS@0|4pjhHA5{?}(=?QUC!D|AM!g^a+uzmbkrqUW&e8Ag$x}8ozjYgN8
z)4D9syz51Nvr-OaKc!SNpHPrRJpD~bvf#=&FBBom<G@z4$+^{3<eqKLuU}w7z<E2T
zffWk)o&DyDb|)1>e!2+6%`hSEVp4#b5E)COVRLGvDi*!EdGOyX6E3v+RvQZ|;%r@{
z2A`rDc6`{d>a-vW9DmM4+DR&*Gf&R?)(SN&F4|Fcmcjxb{}Muns*LRyc1+m&tD|FG
zW4ezu3!eDgpt-PAkYv-t6DFmBI*BGuhr?O$k3aBR#9}`q>C_z}MH+a<t7u{3DGQc_
zUl{0kPQis%o&5h?Xn0}jZ}N}7EVwwCy)kM%6)*f`p4vV^LzmlC5?i;h!J{-WD71r$
zS-Ll-_MX(l?|VkYM+@1|I=N<Lq^~N{N4xLb;Gv_VsR&wV7=y$-^@!e#D&9WDA5p!Z
zj{j(n1fp*ngGs*A8R1iE_{f<XTu?_xL#C#D36%pjXLNpT=2yqc3r>ZrS1@qX>4%K-
zIUJ~qx5zg<t&S^Bm_LePGtgo8%0=2Vfp3xmhGkRgxU;e(PRNRZF2=Hn{qId+|B0ww
zyt_4Un06?q)PRA-M#-O;A*S$`wzFf!V*iQ``nwz#=vdIU&+L(?85A6lH<RF}p~Tq_
z@0pM2Xi5#sPs%U@shbbCx&jT?DJkxJZA{0Lfs#{tY;*9P*L`%xmxfV$>4)qyHF1Da
zt?;<q9Lk?@hrLhGFhSQ@TVRHUdK}+lfvYXRto4M->Qgk_nXyJ+R+omq91F_-KDB_M
zO$E+HK{QnQM|mBvQ3L&#UwO4wmVl{t?WF_jXn4}dcxQr}I{xjaTHNp@K=h{aGRNgK
zTyN25b>2e_r|&wf<31oD!Rx~5QLYA>w|%}JzDE@=Z%DYv_nv^0ZM$vN+%<5^%CK$c
zc2aQ@Kl=r1oB(^@U47{j>X>TdX>remf*jR?3%7q0a9?h9OGvmnMzu|<r<N&WxVcu`
z#4rJr(DPTTM;7PRcV>F1M-fAGayD7F5a94q=)jz-8b0WX`t_1R#>PO)<grWwc;wfX
z9(=8e>8aJ8#!>RP=~(WPlYs;jz1g94LrWF!%z0WVi^}2EO@W*gO#;NiqoSY2Qc>QH
z`R83J3B{*WLw>hgz_oXq*<&LV+*o=l?b;0)ytaR9i{&v3Ft^uxzrl%urmvs;Ih87n
z*%$WP$SGQY&uNQ!od^}Y`?p}*M3WTmK5FuLuD~2-GcU=OY*t2#zZu6a(WJ0n{y1lo
zjX4B%8(7YmDq&%{W60?YNlcUZG3e5123Ci!a+R5iD0|20OWs;Z{HY{8W#nrHq^s4x
z_<)SE(rZT>g(Xq=$R&lIX;V1-WDg;`TLEqAk3T;>B7q4eg=~{ErjWAkZsxwL@@Qzq
zlW=BK0z;oY4i}I#1(}1G@%+6U4s=F(Wr;}QExG9rqjyZ8(&~~&l#v|zC%B&<0!eJM
z^!XfXU;;boN`s<VvN&(%t9j~@B);AttnBfM13N~2s=f7Ok@la~!}d{0Ockc547qTC
z8W1CYype=_uiE}z@s`44w~R-xP8fr=&)Z0~QzZQ3Ji0b!ObY!ziV2lmHU^n5Ff3_H
z!j?|Ihwo#h@gt@0MT4#}1ig?e_@ha}l5^BE#U?V?7BlvR(#nRTa-2^m6-an#hnz?1
ztPECPe;FoolnthJebwuzB>WVWt4XRQ;Rikk#bsJ-*qp!ez_=+1-88q@*WH&z-m6+Q
z+ds14>E8~d`jN1p<IUN_*X3~avGGa2L>Aod5GgtFkc5@5>PkkF<gw}Zw#v+{ESR~o
zy5!jc2~XsN@1D$5z=9prp+jUAw64#280;;J8Sd@Bt*XeVdh7hI?So7xHp$(v`?D+x
z&(}&`nNY+`tvGH;2@^Vx8zgD@$zfXasNPOpW!zQ%EtY<R2|lHQ@<#>aQRL~?DZWS*
z<Qop?P&>{95$2I&qfg~gPk1ML+dc|vFQ`2*3t&QCn>1N6L;)KW8Y-^IQIV?twvgYG
z2@WZ$X*(DHiOr`pzu6`#8ra3hNqaM)MZM)4O<56*55-HzT~NixGWSRSg)m{5pELbH
zSP7q>`*wxCP7RGKR!TcxWWwPllIt*^G8zRx+hi-Cj(=WXrDZ*4LbRU%sZvA*MT8`z
z*;VQooO;R4zlRBGW7dhER!}e{?EYlWDGdxm)~v8H3uv%^eS8W9TRq3?201ibQ@^9<
zjSmYHH}13ftwY6EJEF3057F>%b-VdTT=cbjD_TC6Q&HgCdM|-EP5h?ySWJV)hIJAQ
ziSOG~u`Ptq>1ELIVprBG*XwM!muI%*%nwy`^>bsCKB1%BMYZr>Bx7K$`lK^{ObzoI
z!k&p}Fp!=9Bw$&ZF)Z)xtG5zWN6WUq*DX#mP%-qCj4P7^fmxEz0ut1*tjJ;H2bY1p
z*y8Hk!U4;a`w<*z4djpg^<<`pfz;^F#d8Nuphn!e(C>l<zG2vkmoLVHjUxYzE1AOV
z=8%_V;~F?3Je}fL%D_3juGLqnO(Dd3q?^x<hEhv!y^T7^z@sq}dk6NLK~S0NjKMV;
z2Bhg^8wfFwf7AT%Cn<BtWd)2Ktf672xi8h~5FMK*Z4x%+nZw?chC#>gH2gxj-ds_w
ziKPKvv2;rdSlc_4l=+K>$qMGu4U77pe~EqZ)N2cPr<!inw3r{brW=ne>bHo~Kzx%4
z0VBFgr*18t-z0Y604~?Sw9>NY6Db4``jwUY<7mhyzwx;0KQ**J5^S~o2LW;KAH1Si
z)6g;AarddOsu-AKML!`4Ae%r95$e~#3BjawjjyRVtljKgrVb!hIAkyuqJa*ad3t3w
z1#84TuAW#4P_7irGc%@+2HV#Px@)W8ys)l5Sqng8_I}=3cXiAh`299oP6=nNqGDB*
z0gjulbTh10!<SyS_q3>!F)^s)kdqKVa?#i457gB#=uOSWL)+xBA!qIhse^zz8`U${
zkE-I2kcevjd|7NWUCs@QBOuJ~aZb`(D(0o}$oZO(Fxy(0l4nl9zsz6f$uugOD*j5K
zj!WaLH1%)(XAAHqsye)nQZUFw(k-xE3f-p0J)90%0QuPD?xi^@Si6cx;>>qREGgOL
zv0l^y4uz(6?h8;x1+}}R7P=&ATQ?i2C7VNPOofGji4roIH<AtFB~aR1eb7$b93nDB
z+1_%Bs67**tE?u0srRpZ;dx{Ru77kF7YZ^4>sp5Qeh|m@mko!v8=3)5POB=5DPY$!
zKA9JJ;<%t%vdrp*Dews#J;2tI$DuVPts`0D7?u03{hEa-e9V3&oU>C7_3a{#{eCHq
zXMpF_T$KrM#>c+>OP9r;^Rgz#hQ#qljg%j0qX}Hz=T_#oR2KIzCboGRNZ^t0YeWM&
zIiSzeasBrp5=LZIgmzq(z{Etyg-{<3eCpp58!bq}Dyvg}H}Fd0!6Tw+H)f5&e(gPn
z)`v1!S}a~2aZVCHmp*qP7Ipr2`p1jsyk!>6XGQP^iWG9C{g0Q^jDi1v%};Z-3>x^@
z(s}EpaO+q3j>t+jJZqeJeL+bERmoB2f1;%^c;$wk5>GaC-pf8eFDHX<YjP?Yon$b_
z-|0cWFdOE-GrJfJ87vl>Kf^L0VTe=R?G1%2IL6$alD%Q^-j7%PMO9=m&M#)E(>@lw
zJACb_a<mNYskE{)Rgyz`ve!D7MZMZI9o?qWB7*_#OXx+~@>ta(pkLR;gxBrDCg&E<
zRn(Jvd&E`&^G37VNOzcU;=f()J?SJohR&sdhscZjrr*97{!Fmgxu<S|E{l;PhXwb(
zP((!w_X>T23E}RYrI9F$5+8N^1qGEcQk;=3OlHDDf0Ha@(H8_fW9glqD(G^y_esZs
z5!mhAE19n$kM42xZZSR-v>gr1;*1!9!$QFFrxWtHq1WxzMhz-%YwY)F954duRn$$-
zniWv+!miAPZ&dUMFZpLSWCYz!UT@U6WaR#sj!%26im9&QZw+USV9%OoW2;LQaYguk
znc2f?IQA^B$yu5SzO|0$sC7!%zb^Xi(e>)sUNGtCV8(=CGF$fgS7n^-uJ?B!Y2Z^z
zdD_DROsG^!`gnt%f==_Nr&fK@z)OZ6GouAes4L_O%H5`5+p4JYYY%8>-DUXYr~nIw
zbW=V&Gohl7kL0sZUrpT5?aGPqUYu9e&9i!o+%i`E#O|0f9p~=oaOK~zK=jzpY~drS
zxU6>1e}YwX)FTZHe&56fBkiw#31l_AXA--Q?!rLz8tOrxZZ^c%-7oJgQbV^%>ypNH
z25wt2iT6T{p>nBnW{Z<LI^=0qedcK4js0HYwj>T5Z_7F__e~wmd`eIFAJ@Y1BlWDy
z6&#TFFiL>~8dwD5X>E73@XYZhO-{H8^w&D;RE%n%h|2p|(c4-WU~BOsUDp)Ua~(#+
z_s}rBE9_-ms21udCaG5qngZ{`OEvji8eTPM60V?Vq4edBR;x5KU}WrY*e<Gxg%Vef
zHD)j{h;cyc`WAD@@_H6Iy+#uWd&a*NybL_E*Jzvif;n87tNZuaQxjLm{jr~8(^0u>
zr;7J23s`Q+cIgh(#Jb`04I4LTqHTHaCh{VwY}DI-)MU3NUQXYsG`^_cPrYKD{q7U6
zw`FteN2Vr<s*@N6ni?oiG|-kT1IVZdwy>O{VfS(EZ!)uLn9##wr0N3<-D<QtdTWtK
zghLz$Q5Ee4kAJ+f0iYqSyF*)lks}^u7|)-jqN{E#DStP>z-Y~yfX5ox{q%I-8wU!i
zPka^NcmlXy+ErDeq=CGZkG95JE^@Ki{mAsieEsU?&;7^L@y@1eTX^^tkx~}pnd<=X
z26$(>ThuTm?u?wtuslvs%0jG}0N)MEx8GM$!-FngJmPufurGV%-w-JPYyKB|t@o+o
zoGhcwV=W1Pub%2oYa_remLebjh>Brx%vr-SX_QD|3C<iO;B`}wpy>n!8zM$%{k~FY
zV6m05d^rIhti>8~Oen}!8ShwXBZ+c{HHCiMw1CoW$FEStRq&uY(}sVC1kNryXA_`q
z0ggR7dXX=buxR!iIU!jb@BGoRHN9^Rs<DTz9XX(gTb*{dzZDe6t`XNWZ|LSw>~CkD
zYfi>q1*Wg6xfnVv1iuK%G6S<OU4)>D0`A!QZEX4T71)#Zc8$J<8Hh*zD*8*3N9Nwt
zn%?jg*s?6PjyK&Dc3SrCPNK=-1=7u%-iz_r$-K*tsHTup-MA#uK^E-|mPT|xUV*hb
z+kbbanLw5av3dORqW?*j9VID?VGn8PjFP$utUF~OCOIgB?v2s^#gvGli0}#iiTfNl
zk`cSBz(oeFHZQAvxJDccoP?fM>T@9OxP47bpEOdJhEAuIilb7>-mJ-&i+fk4OuzP7
zX$*RLF1pKB0zb1t)H`jBp+-r|RnbBkFD`$y-g!s@>mn)QbsyP~61(xp`{mN;li29D
z{iY-qTCV#~>L44^ebiUAPfFp9?5^6~u2Sg!nLj{4f(_qWgNhSIrLgYykz308(s)jL
zb;slr7N|6;)h6;tqxjeQoCqlyOk1`-RDU}QuG8id{b<rScFlkuu;^Fp#-TzPJ{E+|
z={(BbBaJa(Pb6hUWs#AlcyMVU6F7APN&j-Caq9RxySr35luJ)kat~sHKHslo1qm56
zjJKUJT`!N5KmQEe)?q@Du7YFPqK|mF$mociRKOoC$<3@^MzHW@+qQf$5-PvBUaVG2
zMsX+B!JG;sSSCxFf3?UL@w=5OBGr`eUS+|Z_!~y>KL7v#|Njh^cOaE*7{=|r4vxLo
z;aG=r>~#|=A|pE_q=bx?krEY^&x(XnG|eVSoLgn3K@=%vWHhXb5c$r(_g~L*zt4MJ
zzhBOiit$!oaZDsna=!Xc4uf`1oJ)zPfl^1|wPP|8cw~#os5`p?rr@hlg<u*qm#~@D
z%}HRA$5f0=mjc=(4%I1o(ctWOX*jW85-)d{4U!5K(PBSgpQR@aLK0HH>b;i2J}tNN
zm-i~+Zi5yF;~*LcW)yiR3`pa(yG0lF*eYY@mVIlzhiTBAR4=XlQwA4US!g1PD(D^6
z|F!QT4ZJDa$y=o5@Z*6V@9uRKwC$YiT<oR+x%8cIwwpX2jdl4D@ktd;KflNv7dC+D
z(gr(iM+K~yXuW0kNDbppn>$cL3_yza;n{6J70|~!f@Ygd!WZd{q%Exm(D?VFZQ4ae
z-0)j2?$dU4oY;~bvD?rPtT!GMvvX8J(kXVbtc(VpeSH2`QoSKK%CB>NT2?|AvY%W<
zrv^%Gx?V}%WCXDzhg#fjC}Zwr$Cr~k$jBkJB3v_R1pdsQT0&e^@cVw~6B#0-qx5Cw
z?sLXqzu(Qia6tuEn7<z1Z=#8pK3GS;cQOH*=#hMj992yF>iai4MiV(7Ueh`&WD04H
z#=1up)sQ8Bb}%MI6I<E_Qk4cx;kMl_!2{)LICmiM*+i%&PHz``>~+HoY8BhiT$F??
z_m3azlF`JVlbi1)>^FxPpYmv83<=2{R5AN&WZc}^D00Ta0)``tOOoqJ_#@)le~arH
zDE_D1Z^u6iklr^P>NU=oFO)<QbTx4MKx@vxT}v1bZP8p^BB5c@&CozYb+kA=Pv-Tq
zf(kpXk-&Kp>Nl+(ke4RmXco`q#7QfdIavEZ?iC5&+?|zpF{X-gg>pN~DFDe&x|P$j
zNLZScG2VV&1)FPIWt4*e_FU^RC^aM@P3@@5vZXR^{rKBBFAbn(sra=}s~XypY<35Z
zDB|m(<Xd$`0Jpp9TNNzSa6tMrf5k}!q`seOc~}mhdg)Gd))iH})`bDhd*$$vz)NMN
z%K&R;ZGs7m{qKLGo2dRx8nwy;N;<LuDA^A#8Jnvh3tQ&Xqq&mE`>CJ#@j-xYS<T00
z@yaM>{{7_U2yx8QNYd7K2dHy(`SGJx2}dTU60Ro^QM(~vCXNJ9WK^}9JEn*aeq}yP
zY!g8(;_So1uU2p%tD?qCToI!pXJ6Gh2&38|-JZq6R&XsfU#HSZ0r>`B6Uw*<=q%dy
z&uiTh?4~Ws%7o>y`%g=G@~R*%bICb<NVbHK9r}*xg|fJVATMv@Du96>Px<X!wt)QX
zPP=4^3_f|c``ckIeoP+nZOMwZfU;Q?xh+FdD5fMp3X<YO4e3h#&T(_760nRWUXjEb
zmilolM|qL(5A@A_&B3tJ&1%mP34Cno9DG`b7nKEn+JAXv27cbgx7_2z@u1Row;V-Y
zyz{YeILFouqC8ovqEp3CPT|`o2UlJUs9biLZ#0G1Vj|1`s);znR&IQyo)<qpSlX9k
zU<!2}VZuLuisEhJ5R>CpJ~US3tp0k(1bjQXHCWw5kxfL*<GBbwjz&a82kMysUnbLD
zd@h1hH`Dzim<4d-&y+TY`^KPMA)ZpST?DT_W(l(*3S#GQP{4|*G5D0`+Rt%_;K6~E
zC&$%<@K8biOkJxHH2>RhRiaZEGYvOw$?X-w&#8rCZQG1McKGSt@G@aMXg(U^kV8P=
zUFnOMGK62_xu&+c!uYZ9Ix#Fz81M4b-kd*X2tnGx_XG-svH04nl|c&;Ozb=tb4kt+
zM7|V^+1wMxs>9B$ty-cu$1<Ssq{RSU(`GIAjtOJLQ{~IyT0~^pYGr>n+yK5MdCRM+
zi(uq>O|Y7U7&iThOno6~00FF9rxj8}u&Vu4bZDSB7Kh1wJM@|cK2MhH6=y`S;nLuG
zVV(rCM6=qfouxsh9!Y08N)$)Wu3gm}ltlJV9?l*vH28DH!!m=Fh(0l2p6;hg<NcEH
z2U#*SIAj0lOJgMwJ&1R1R+P%1v&mJSsCg<7wy$R%3lqca#EYwM<mB*<%_rycuc^>A
zaI3!6P#onRQ{C^}md7reBAu3cDwK7QUdKpE;5FB-mp&B=XcXFAQCmR;53a{;zJikY
zf+s?ICQT7<K2PVN-J(Lqx0TK25>n{6OFY0MObO36zvw65r-Eo+dP)`JeA;@y1CF^U
zqexZa)x$5S5W2f9NH9nS*Lozm*{oFX8`m=j_Fq&`Vd~CHFO|h{ioY+fo+>U=RlFal
z)1bE|Q1!>O9NN6O;P0TKh9+BO-GicNFcj!W_EJ?qr4Wv%KZzv#c=JZV^Jg^BzkTD_
z*Y^tOw6vO6$)b+>dD`bQwG5!o%BDRkPZ6IlZtcjNP{*Zf@3RQk4M1J~nM#n05^meR
z`i9h`fuUDo2M*{NLIvqwz_freipO_Go=zcS#|S0)$SXrwFVk_KeW8rcs?;WS=xCyU
zQ=eu+k`a8_71cO@N(FD!Zt4?j)<hO>p*bVQyKOe=wa~Xv#oIm|eteo*cx~79#qaDU
zu&3aBXT?`l^n4}QKCn*<W0T|?)Q3#K__Pn3;%PO!vFw<1;gl9CrW@}bd~6D)K_mL+
zjQs5#`aswmrG@`x=2M-on89q@w!>F0kT7|_^{lv}7FKADr`Vq~2jM#tSwzPDz1=51
zG+olf!K&SYvSAkBA=2zw=BkcYd}!AnO_K3_)=j6MmX@Fu<#ey<ggVw&icpgNX<#E~
zUhE{76$smRbVik^<7BHY%g#x4thti=FaWJ!<o!2=sB`K#En+TIbd!Yk^P49wGV)*4
zG$hF)QXQq17d84ftD)hF`+&fH06recS2U7329}3>nCNBnf<o*EyITNn%=&H|e@eo%
zO_o}EjCbOuRpp)j8sLkI@PxcA2`9JBw&->!;_pey#N`Qq=knQ=^_6P4vti-kH(LcX
zTzY<WU<N?vqQvrvHB}7h-TGJXqAWHHom`ll0+{%Gn~lQQzeQ%(*B|{-IBFa-HT)J}
za`45Q3sEXaJ~ojMXD5Np|4cWC)dR?Rhr~b5SH_P|Wg@Gmi75X2><aUL05&W7zmL`_
zp|MW8<)gPESh+hcLwh@b;m&h4MSY4G*}I@D#3YP2WCDg|l>rK9_B@AwDc}aR{+SOE
zLfCVsr}0z=V{e18o@!zWI8_$+Xp|;^8OIkT$E>a3F5@$tPnN?#idAAVFCXSOYE|91
zZwcE;auW8VGAP??ax2k;2cP)8{qb4J5{^w#n|}LBqr29Ec^Nl1t_I|FZ2Zpx`qifW
z4t$ry?J@~p4du9S-?8aau1n^ydNK9+P`(6y`*ZbYat0?ZJ2N|K?=*)myj@pI{KV1F
z$n&nU4JZ1GF?aX8FoPRb%N<#a{1S|v5{S3rL|WUwOm-797-2S!lr|?~>SCf<WjrS~
zQDPFpZkU1`lUpr#iDFI6dc?q2PV{?ILO3L03S3D#y?6f;!H&zu>r$t=F#1SAWbs)O
zkkeSH{5B$tZ5938=^osSURc<!!Da#<e}s)2xd=0OV?(>@CLVm;pqsk;s4=i`)(dnG
z5YVTmApK(iFU}jr7oY!U1nWledp;x(P#tQvg`DTZIiv0WW>btHWgqq2Q3C>ldq$p8
z=J@e2MxMRNZ3HH<9fnh!1V;W4^tbO8M9U&)`K5eASi1gw$Z1{(xo7f|JC6!sktS!U
zILQ#&+I0;6&IzFg_qn2VUjpj5*1p})WB~WK55IKbAYj%+LbQ~<Fg}m@Bu4i(fIEMu
zO4=y|G;}->oMkP7#an)Ky;-I~`^6vbKlc$ZK<!@hf|Dq6`!~&ZU#7vQ+^2VsJSE_+
z4bLfSdx`iZyegaMOoK^Q_X%B1Vf-xkVlB8t46_!Qs9Y>G5MeT5p1dxMk=L7wetZ_k
zBO&6xvQ1PNoE^z2FciVh(Lem%j3klMyJouoC>0>H!o_w_1cMY+#?8y6knk+B__+fW
zoRUZTS#w2^M@#9Yo(h96>_WsY$Wh_ycloXJ{zSCeEajf|NEYcC#d6Dk^&zzhzmqM+
z@N>R)lFcr8od5Ym_uiO3L_V}t>eLrU?~v8|S$PWh@`g-h**kp@AJE?M)=UD8c`co^
zlNE6&*Uk39TYV@uid41okwn+OS65wQl~Cr?SoqfweK<2-=>7V%6dtsjjQtm-jGhZ5
zKgU&lP}R_VEZHrMr(2UfyJA&vzV%()oGKNDEq5P{P?tqNns7sZqAE(Y-wK)wq{6KU
zOZMhmITZQ9eXjnL8s^IuRQpv@!K=3@{{;ube@H1Og7ZkY&UevDmzxH8hpM-vG5qJy
zkxxf8i`5Z(W0P$YXpn!Q?k^N5VkJ{tc}<Z95+C!ATCCIHlwFAOo=_!xkX^7cc$SRO
ziw~uv3k{$+v^t%`NEyG}4lr2StBKG^3hS^l1c}Mpn~+Ndof5-upq>`C77ps%;V^=p
zfzQ<g{VI6&L}}WYek~Nfq&U9#-U!mEU78dI-_}R!C7kxuMxz|XhT0}$xbOF4+&M@M
z+5NsKNZ-`P&OpBt8nq@swpRIdfZ+vgd<`DtHf_9|bo=E<g(-N~CCWC`kx*(zE%a)o
zHlmNo^)ppwkTtiiqG+p*CMWZgzi!h;nV1dt)oRUwz)Z<|`%oSIPZ1hSQ40+#x3Fnc
zTLAS-DEAhE2Erem5yFfn?$v40ZM<v={Hggp@eUfe@OqT&IYPz)rGgaJG%NUGo|MVD
zQv;8gN4W1S)xdSL$%V)20QcOqcJK1kKsE0Jy>E5Z@zA3>vfOcicZv_Z#7G)=W@|{l
zUWpo7NCXXPy#O$#E)8b(spGj@PDdPORnTIGU-AidYf!#2B<r+89cQ|BT`Q(3V`OC6
zxjov}AhjXWrQ-z&b$<1KI(JABYh8xQTQ)G}{SmYFvLp=BH4PX!!QdS3ta`#`Yq;X(
z8(8n5hUdOqQE~+t<TiOzvD4BTT$@L>B_^n%wfg4~B^^nmEe(w+t6IY_rGHQ_TLsU2
zDdKSS6T|!`cW-g8GkiheNJ46{GIH4{<o$Xrf){T6X8!S#k^kOwt>2fGu#P(O=5{s#
z!>9NSZ{;!kXeuPH>8c`@ZYnhzun@$<L%u8mZU8bvoy~U{yhYX!I{)b>FV^~7I6vb7
z5Y8=i_luCn2JiUiD<<67bl<2VJJ|{{3jJew&&lEk(H-JF+?@D1hp^B#VhOL<4*rzx
zk;dqYUoX(S*iow}e3O^8C5Qwpic(2Zc*)`5IYBWtoYftz<t?=UV(qFa_XP=jz_Za*
z&Xg5PWJf-GteOL-fcE?`b#de?%nC}XXF=WS#@D_KkMLAuiFopkh~f2Cx;&{YC_FmC
zyxw32_G6*0-d9Dj%<DY8I+q2xIQk=gN}GYLSgOvJ91(n!DscGl5DQwVoegL_W(w8U
z%wnuB3gg+DwB$NJR`f_^XU8cMs5N9&`LCUTwV5xKW;oc8`cdb&^EMNxcpd)FMUa4U
zQGIfK@7eIa(AfF%r;Puiuc;(0P6)@Ryh@C_*|99vRcOx8818I#q03JQVj1geuDJ;g
zJga3S>|bL9YGdIVHzWmd)^TB>L7EHSiT;--NHzky?X$*vj|yP(LP!ZIk{g+Lc1mkj
z7{X-WY_U6000oY{;!7RmL3i=`f4w?}&}c@gi+RtF`$Uaz*9Y_A&zC`#dJhd?O^R)v
z=Q%$*JWCHY=N7=ImI&1-djqJ5y(M^goFC)HFPW@&3F3y{`j*D`H29hBu{ci_zzJGN
zz^!*ecy&$N(Jht+Q_)mgwhIDCEcT;B^%HPshGRyo5DngnCG*MY3SzlT|Dg3(VI&%s
z+k`QA`_hTrsg56lXoCNyDEy-M_FYu-$p9)GwRg3h+%1IfCx5AV+Y+()4{oOkQsKRf
zUbxh(5K4rrp81d^hVe{Z_M>h3U=>5%B9lSDr;h20ALqo;{W!Cp$Vq)je8RC!*+>|x
z(=at+w<ON@KBjDU(uZfC{mSE)h0(e*Dj@Zb6!JJ7J+(`gk^h`>U5C0wP%5P=;rk^S
zY!_k=m|xTbvx#+|<j11uUn$r`36w*QN-q1}K|P3CFXEqRBI3M^RGY1g0w#z5@%h`S
z2Wf>{_sG2!!#5}9_ydTFSRnelIi^()6!zsryRk^1S$kH|Q7I+lXMbkq^-2$@PHRwU
zCy5*TLHRpb8NJ)Rj*pG&0Wr7PNurd|FUoHs_uHx9FTUx!LHznKz#7kICm@4MDi-{E
zcdKGtr*Q_^ULRB>Ce~APWpTjd^2_5nYIs%aPj+#RK1hY|o7R)%@u{Tyuf`@4F5dih
zpJ!elzLAN(#o-D#TzX2#>8m<2aoVIj2&F=VX->)DMn!bfYoE^+B;#LNQf}oO6_QnM
zX69-tA=jC*`M+dMd~VD!cQ2O)dv>#KcrBugr8eU)Wel`X`H=Z(?JWlICFjU5m4C{}
zU+#OiT1^}GU+-=IE@KE(rDHE|PO4y9WV_F!Kia6JqQ^{NGXmq>pIc{NsA4|vaN*}t
z9Sr?LoBq0P1V?_c=?Pb;;X~PLLN~;8@$ii{lUMvEaCgP+6+MB3C2#gl{d3pF-JbD<
zykt|D^>u9WFjdC}pIn<x7hQaFUS4u!s~IHU&$8wGqK=oXv*zPDb+P(yPhfVuIV3*~
z+bkHTfzFQ<&)nOugG&83o~B>60H@K;vhSlB_{;f6X7_n*d?+%VUfpB~rze(~F6okS
zZ&%Xx4RKl+5Xl^RztakuzUTb=;X%gA%i6aZ_%xAA!hZkr0D!(M&f!b$WDGg;R(CN%
z1A|hWuP1i`IQ3Tg-5`;Xq!iugU&`<X`d^1YC2LsvDRkH7jRt1iX}JP-RMBXy;9qu_
zHH_T2;<vI*0|OJn-4<>uV_&;8MWE0ce)alq$-S$NtIm|T;VMN`_K_K?x@QeL<Ahs>
zXGmD&J)12YDvyVsI;09UTEo_y)D8IpBoyg$cw12{jg%Ey%9&bg2nQVdEvAMs7RC9i
zLJ~+ZJF<Bp*BZ`n)obMOtK#0{RZ-c!4E~yh`-zP6^qe=Y=U-CB`Gr?zb3X|9R@^f1
zfUY$-R2?UEe^9~~qH{J2PX+Ku{^@3uX#mf~^C!oe6tSDzpoA%m2P@l5>zT^|{8<H9
zyUG;M<ym4Xv6%y3tq#5EVf2gi$+8C@WaM$d$zw2(&We;ru=&HP73>tOx*)|RixAUE
zZt!PD<@9aL*PX54N`;Yr2A?!~zWXvOExJxmev;^S@S-I++pwl9GJ5gQ#Wi{EJ*#w+
zFLo~Q-2w#F^shGV6UVsSoUKoaR_Mm=R>#v#Ea1)gp+22nB61EL|L%QenLanqoOB?A
z;inzPHXrm6#kq^Le^&C#bgtyeh2aloppeJr`Hn>d-^Aw<`z)5}9CCa^VR~jj9wY8%
zdQHHyyOZ(@dY0*j_xMB|K5YsLcLR6OnuL&3OZtp)#|r(_{uS|nNfS_v_7iR@6hsG>
zukk6ut8`!a6WWfOOu%OR`-R{|eoW_KHIcu%M!$1^PtlHQW7zX(#3(7759^L!DBK;l
zPQP%<;ln*KWB4<#znLS17wa{yt(|?$gbJGi&$_1>LHM4@P3w_7$dzuDz%{^(Yi{!I
z9TpAYl*E0v#7b^_D$cHPf`=8$*H#HvBMhOVIez0qNp5^t|ISO_oeiJu&@T_4G=M^$
z#~xaBTqx)y68QTLJ96C%yI8f$0Awp{OS6-?&~)q2dq)x{CUM05N&H3w*T&v!Q_)<Q
zCuKTqb)O5>!!&NrGWx<>>>BaZ87@39RkFv?mj`)#f^VxZ(ID&DiG4yZxlp*fKYEKa
zALbFilB{y6AXL2PUm}egnd$rV4leWK@!02ndo`#KaQ$MGNDDUxryZo({t?7+!-L$P
zTlHbhg}N~&mIoj9b#ANYB_Ma*KKfvoJ`{wJVv;xU;^L!@6Z>?8apq-mc%`5|?A^FB
z8nuBBZQq6IyM>A%M~#nYRg)gjM=D~Qg85PU_i_DScSP~^BK_UQSUq^_w(v-;LI7vP
zzvzA^ilLEjEbFSa9&A!gJkY}{gxw>d1+Q|&apvO65#M<VENR;*)H3>Vnk>3Qi7bh-
zeg0N_O%#|Q^nLTHBj8_;Lqz8xDRkuGTIkK8z&BGm=~SgKTIjKEJY6k=)v2G$vZE=`
zr`9#kR4;;aKTh6zUMz>1cN&zzmjYW#O-^RK7sa(0wKCUj3RqoM<i_kmfgGvnf<X~6
zoG%bh6A4#DCZoeSM0W~Y|M63!V3#-+ihVK|{!a-#t0Xs$git{B-miSaHxl^bL!}V&
z6J=cex&GqYNeWo?*K7Utl)~dCmYa-OR52r}TcQ6E1-zedQ+s|(qf7Qrl`<za>~d*K
z3ue)S*zsTE#+9=8ec@Pg-W3vZ%XEtR1v2Ir9n;m~<&m2u>ifYJb>zA9(&SXH9{i_S
zJGHMy0e8x5;ICxlrF)9S=L<XZAs{?s>-SrV*sgXmFZ6~c&R+4^C&WdC{x5fIt*e#L
z+`?zBbVdtrY3DBsbWy>-|J}T79fPxr&6PzJbx_P>w2)dsgM+tpr!req@Q>zo4OatQ
zJceYa;A;kuvHC#rSC=Y&JQ|RDNQi=A;_Q5RjfTKaAFgEXQN!B9Z#Nu>pkV2H@s^x#
zMliR(f2h5Sgev6Plf+vT%)fD)IH+R+$(1yXXLahxEYGhh-9o`Q^5%Q{Q%#{KRZf=g
zEW<0#OKY;;reN{9WYzBxGdM!~EOf$-j5{P67UN?nXtET}ecr|brahLgY7dcdODH$%
zOAZQd|2>g;ro<BbmKz=RJ85E`Q%+CLpbm;epKuJDu!6^ikuv9UG?5xtr1!-|8!ufn
zQ1(9qFnp}7Z|0gN1_v0}iX><vOY52Y+l8$`BG59}C!NvX+LfMF!5SEG-n1t!%^GHe
zTe)0~HL+T8*maj2318$XsP}%dhLu3yErfb9%K8uSPdrvZy*6)pm%I)5%Zw<T;v{1c
zNmbw7O$j}m<yS`RZNO2Ed{{|`;Z5Y0@!=79bbU?!h}&$yFe8q1mZFXmGDUA+x=Lfl
zhPVR+M;rL!dOvbAk%U;*+x<#F9Ocw!>MXTvAl@N!#cNCzC6=>ULbOD1m(P$8<*zm5
z*6jN6;))7#1vhoEM+sus_rt&07`?X8nF2?>l(Ep$?z74sZu~|W)Oa6d4P&Ls&QE!i
zu*P)F^S%QcDr)#YFOX#1cX(UBNs9u0q&{)==V8LjC7LJtn*dI<oKy&1m&2{sw;A2h
zU#9Pq<#Oor2MGLREe+>nFr~m*;!x)=`tuQ^x|T&N2&V4orf!tN@pQ92t^Tw0zhmDt
zhjp!B$>I0>8yN}gof<JT+V_?IAS5Q&Y>y>eyw~n;CLxAA%*C0XW5?-D`%|ACylMf9
zcKKs=W}+y#Lt%VCa*WQtG}HNL)BsIDvcDX94<$guNnyOg8p?T3W|VHtrI6pPVh%h5
zrqxL+LKsZ4PLDGmrI)$1&lv4BgS48jELoa@xHEyjaoA>zuCA~9#<b29CijN671r?K
zaAV6KXO?k#5PO*98oMc6?QV~0PT;}png{Z-9+ULfBVrBdz9wK!*lMYHmJ1sdWUE<Z
zztNY+|NHmuo-ypCJ>+=yi32SXGi*26Ow&DyyFK~|#?X0JCB;389f|V$3CTWl^v^Bl
zB=+w&f)0_6Bh`j%_-cF4w3yycdbiWkc>V`N;Evh9`8kypTV;DqOO$`pD<q%1SKVj`
z_F?<HKLoL0OIhTuES*LArm#1xg7pTF8CmA$+r*5={yzV`=CVZZ48QATrD*_~Vk2oH
z8<_F-@_#KG&aBYCF*|I!Sx$rGM;@28=9n<|SjED-PpkAj0^?LG1sXIn`J7XK!h~#l
z0@!4o*Xg%zSv0O)rb605S^ckdOlb8*;Jfk+6K*dU5F1sc!m*`a+O;p3@JPW+iHr6u
zm>E`cc(#VY)dy%x5-iNv;%H#daF-R=!{gI*%o%?1!K+)rlNkfgUDIBpv7-d-&P4S~
zJs49w7bw-ijK;Fl@3p%*Fgj^gC^c9QUMXu3Z+o#|Ncxr@$5ULG`Qe*l*BS+kP8dfH
zv$10E=Go|Me;(wdkk>0qD6m7FX!iFtD}D@L%H8Y9hox^nU-tkC$Zc9+Ds5oHZSK7h
zDF*~lEa`d*=Nnx()w9*5?g=~IOnLs#Jx~Z`7x#Vtr>zU+U0dW2{NTVMahKckMFdp4
zV5G4jUk5bW$7Vf@x$vWzklgKAVN`XRldj;>0fNoTJh7YHxRjDy^B_<ZYuoG#s2SQ2
z!+G5Hz6CEb8P?p^pC;mgGhbf{N@#<{9{1W^fBA5cIpmCYkvNVPwdP!}(*m-=&V&nN
z0{A}w009606qk2A)!!e-B{Q<;wXb#Ub?tFqNFm>rLR%uEL8)k<D2k+zLLov#R!SwG
zQ%WVfR46Gj3Jqi=et!SH&-;(}Igj&xy`C>a&GQHU^Oq(;zEhT&yR=dN`O@qC$Aw6S
z-iEs}TV%*gaJ~JIhBkVN`FQ6tgo*q3^^NHV<w*URXtQVR+IS#6A>7_6Lg;#9pVr?|
zAgr)mb&X?M_z{1l(ZfKDJdtgz(-BZ2!KzVuY;4*X;rA2%kRwjIvwyUoccYW}q!#yD
zO>O+Cw9dF_BuU;en=gx1D3j-rvx>tZ+SvZ+WzgZzQe^$h#>!uGRgxge;r{5mHgsZx
zFPq$^k-Uv^QK>i7$i3TK9X+u+NKVvy#+N2b9RBUHK5xt*t6ZWNxo^_NsL3SPr5o}@
zN^EtiMw<p<mlMeI*sh0ok?c~}U5X@xDK)j@kQU)NUiC0(wLX?=iT3cFQ6f8ci^N=z
z(jlCxQ)=FV2GDXgXrn6WBvgc(ja8vbE^r9vul;2J2HQm0{ID_!EN*g-lG7*7K9@2U
zPa5Ky?rD#cnySR{hyH`QR(%qwIze|-V#4&?tR{DW8i~2Lb=*DBfVjo0<~|HGMq2&`
zlQntjWKm7G*TGQ((iN&Y7|>&aB%d}t$qoidypd3_XoVqh$7J@AKr=-09uHIdt3ia<
zIQ$aaZ%8`rci;UWVS%qhD}F|EXpzSiy?Y{k3`y>Pi+wDbEKyeI_orc4i)<GEd9qF3
zkO)06d%QT#8v8iMj-9%tO{iyIir%FfkkJ{%yKlilYPDMOT{9iB+)a~t=&e49(+std
z+z*_15+e~FuS4i1r`g3z^+;S>Wp$ChEqEl>4X54EA#-smx0kNeAv&%(VvX-@VHtbk
z?9Zb*gzeYPMRJLnL_|lAP1V~D8~e5$_#mi5)&_gZ`Ddt;>}O9@2Ab?pb8mj5n~ydT
zzJ}VmI2H2QH&C7?X^#`-GB;mGXpyta9zMlkCGtbnTD9299ux6uO22(H36HMX{v$tR
z$!#}Zt97>aNN;lr`J<pgGEU#vs^=m}IA2d)XE5xszSs7c!98`d%$7Ajs4PNAO6qFo
z2|IM1fA8vPtVZ^|a@nCH%}3rgdkw5DUYN)1&<p7sDrA%F^6wYvi-|{_Vb1sUcDTRz
zaQp^-WzsY!y*a#TidubCy)^8nEwauBY!F+RZ^}#liQ2yJRM>y~tdS^N__*BN<JzJ?
zstzg!2|2x{EN&l;h!C-bX67$9rxsb_?bviMx{0t38<^F$W&m<pCEu=(OOxWIYx!v=
zA6aus5>8(<fxBux9+&JT$>BpGF+F1atn{$vP0NE=2$q=9w0tZ^jM$FMm@9l|%?u<+
zswCJTmv!%Wd!PtW{2C*>LwA&w+#Oh$RbdTTFIPRqH9}-S)^U$~;SW~Cv}aCmw-rk3
z#+X*M{6ywconYbc4;H27Hu^)*3fCl^GKd2&u{iqFyV7o<U-pu<vZEz#b_Se}Rpuhb
zeLpv843Dt>xY%qTjkdr$htKBQ+!vEF&zs>ca>K0Bv@U1K26G&riizIQ#YRd-HWF#J
zZ!8_(>OUJK&GCNf0^h53|EOoK*QT>82Uv`<_N80>%<x%D%-r_yG$rG3t=`xDE9>!f
znV3&Crg#?G5Petd54GZ)oL<t@7gn!$;8YUL6cWekOX&15%E|9ew^V))OS{W^y~!~X
zI2rKOi6;G|QqM34w|9JC`LUIzp6M}$?!1A+)%(Mgt<856x6Jn}S*@?{);SwvR$A>E
z^=*(EoJd;lng53MHTPzVR}~YzyuqsL^S@Ht2AQvN##>k?ug&|!X)-bAmi?`+`wNxU
zzdFK7;1#R*=bee1EF&<7a^)G3Jydt3+Jm90r>sHRmC6{J5mY<c^i6p_Qg-z8KYN}$
zV!2p!%7|YvgyNJ~P)u0|_2RYk>uuBJEY3WUjXKhXxc+%}=-TgZslVCHPuBgr&gv|C
z_O;@g0Zdl3I9uhsp*-sjJlWm1mf9>JpnP7{0DHHEy;}9MjY>X!d8y0bb?TKvGk;F0
zJ{kra)9<ftrIt>-t}>>VQ3^gQ{&w2vLov;<Ia{-ZQsJ>OBg0jceyL}#O_m;VTLQif
zW;Rj72iVu@ni48y&EX%FFLZHNl4iMeUn4ctdeI@Sr<QuNy?yf6A05n!4ul^qZ=hCR
zy2WD@@titx-{R;iO&#3ty1n~`X9M*m<5F&h!Yk_JmS@4T-r6X?;#(UX*g*AFHyVgG
zHBozvIh{zh7IcqkH+H;hpx(E27HwYHN@b=}l}Y`YICyfhPB*!cT4J)5{hi%ws?Oh_
z_Mo07((ZZA)@C(Py`J2s(p=lAP5g7Uc3~RW>JzBs`L~&p>9oDv8}*KAnp?l2yP1Kd
zckeo+wYE@K4>%+!c6LzZNemwibq3T=1pM-9Xr<0<KM=^V^#is2SDH0<lsaU4@<K*N
z+o)at+{e>JKT&o90x4U1)v&v0KB>y$4RuwXW3r6>Gqt)iu29fX4PuGP+q=rzDXTW4
zDE(_+D0<bIO+00)$Q;!e<8XgRNo{`<e|2jg_588>8hv?HtVry*9In$r)vdQN$an0g
z_Bkyv3QkY~93y=7&ATX>yqM+tb`DbQ80f3vP(io;74MtjAE}?&-{sC#e50Oo8niAB
zS4J6=#+JCKhdTbH^(2EeLN%47xETMXBS*lHf7Pzflw1x{PILXFx=Ta(osZMu*Lb#O
z=;s%zLH5V6d*UyOCZ+hmY7rf)=M{OFxqZ}cyA^`EE5;~oUz3~su}bI>kXscT(@$O8
zy(lGJV}d%vYg1k$p#)lW3>9>BklLMS-BxBZN&Q!ouzFj*BJLJ8tDPSDMm0R+ZCrY8
znlk!)=IflLB3?X-cFaFGLUC#O>>QAsrS^9PG#xEaK<(1TAJ+7RJ^h?|OlfG2nxS{)
zpX!yzi>U7FMy0=~V|P2UiWe^;bKySg&#1}crZunU8ox0rtRzV3<Rf;XKDfD6ELaYj
zYNzX!S5Hu$i$yP#=W!5MlVwM~yp+Wb|0~a{{U<5=C3M4`Pq~QVM?vlnTC(^Wbn0Z~
zqiITCbBB+qEH8O;qA67)O$OsrKEtfFv($%8LzCO?@Db<eTxA;x8F1YAecn)Oo@)2s
zI+30vK<<vulY#3rw9NHhjMZ2~<Q?Db$>|XyGiz&NcCu(tVXLr68DuB9drrIMXN!<e
zr#OQS{gQ@~pQxkVI}YM~Jt<5&S&XcyvEn-YP#SMX?y(=A;UexeeY=m|mmn8h=hCR_
z(vY~MX`SlMOCBC?ObU~fCT}){rJ+C?9@AbtZsUC9s`<`~zsqF^7t1mp@1@a`wNj_?
ztpK?kBx{j<L7w>3PmVa7(4fzLIrR>^FximEeKo#Qkp!EZ@H*N+!_MY)Q9iXI<i+n^
ze`X?`3>m)YxSuNnLyJnQ)>1LT`#Z7pZIBA7=r{G_ZkC1BKmBj!O%mj)wA}`m5H-@^
zUB#?$mq&MJ)tYR1X_DM!y=Y@DgKWNa^ZW~jA_l@9`Xt|wA=|$?{x+G`B)6m8*2efL
z;VQ?N)tepi#5_m)B1fPOIcNM}F76K<Cz-8J!)_^(xa2zK5;lDzsKSx#{z(O+ikH`h
z+0u#UT(-E#S_6_e;e3o+Ume?*hyStprA&Or`A6+@49O9V{4*&N8t^$Wp?vM0Drx7B
zPbwQWB4(yv8Y(Syz<X-LqvQm2l3ATN6t8GZVh%;9UOK&?hi9j@^zGLm)x?;Gu4h6j
z2UFwPD-4ll?qBtAy%y>061G(1G9}lXtLAR08KZT@{L>3sI>bS9&(4C2rlh=>{XN$^
zQ!xB+!FWKI48M0Z&3|M{ylce!V((cX%dlgQs--@W{G8~#Ce)PBtrgkE7koKg%wv;C
zuRgK8`pxzA9TU<r?fb3V17NK9eniB}fLJGUmmBXhCRJLqVQepKvFnvp%KZ`p!Yqq3
zyHH?6%GP{(GALn>pz?wTd!88(!2rjUiNg!$(*o08#>+7Dv3Iw5rU9|IouxJ1qeD(@
zA3Yu_;ea`TC7=DQ49I8V^|p2&gA^;>zspzd059L=&x<nkN$q^zM9L>RnGx}bZQ)#w
z1e+%k71#8LE%o2I?4LC9baR)Xh4^xW=<@$}bb$kxw1w~G`6@)XFEW=M7<9mZ)PVIq
zUoCRwY0epr>UrvfchuR^SO@$kzr``)FN2UVqa(I&Zd1!lmtFGXall#^nQa1x)X49U
z1NOX;Q!Jj;xQL3q%Mh+9xIDREne-^e%D&mlg`&N}{)W%&5&!M{?z-(t#9WV3JnkR>
zsWz)`Aq(8-l^B)m(<w(N2Tm_TJ`pIqe{-%czzzZTU%o!9FHO!IK%j|?7#_*Vo@uMK
zg<^UCiu@)ql9kjzn?Ej&69`fnR<T9CUKOpbT8Pa3{W!hcT>{jMUuQxB5NKl()IG~f
zel1#g;QK2H#Pyhk>Tv*G{H#A8)fW?8A%3ffNeQg-PjIv4WMRTCP0e|Dn(B`2-g@|#
z1fIAbPP`{(gR3PR2R??6P^z+>KDiANs5{Hga5c7u9X%=By|s-p?q1T`dszZn%ev{O
zeXLOT;v284Q7h{o`}OY?+a$1$o@ZH?V+pM{#|=gw46=9*mOcNZApxt91HrdPEl?w7
z*K+Xk7%SAr<<4R@33Oae&|l<Wfzhsv@LggvEWwkfMi=*sqpGO7p)A)NCm#6|{*ieW
zPtk<-zE9%t57~CCSI`{cb~jXyTxG{Ui#m>%qvEJJs+rgyX$F|Ja!PY^qFtac<F&X1
zYWEBzG3QM2=lT=<B5*_IMW0U91__u>mUQnvX^L=;Ftws}ycjJq*kV*7fz6e%r&scu
z!ngdk?{fz}6c3o3EvHLD*Yi$hNrnkjcp0+;N=p$uvTRpCsU)(c4fM{NE##x3A`a_O
z0c_eD&+zq-!rMoJdE*_%aLm$}%=Qq%=&lbdF4LqT(sF(gSClcdTT{gX&4j^oGd#NW
zk2I`uPy0<98DnR$14~6(1TpJQG`}6DLG)q_Q+kAn{7)(Qvj0TTom;<l&8!Tn+%`Bp
zxy^(}SZHEkzbHzRmnzn)$YH;caQe<8OpGTL$B(}iL$qmTbfJ$t`WyU7*ndp8pS!c!
zp+y`?`9I9nY7`)oH0PhK#YEy)f!#H)CD6uy^wE_RMa)>PN(vTZf~7uQ5%xtAZ};rf
zyyu~WQQ-*7Y#t^os?<Mi|0jh$Hh%GQDs)(X4B0!pP!DFe%KocDLuA9g!+)men5$27
zr%5m&viY2I`bHT9FBfx)eWMInl_~8ReI}aJT_c(4vM^}jYK^K?L0C}e=}nuMh>o;5
zxNS%dTYqwiKTK7{n(w=QvnMf;8yl3g++G3cD#vzT30Fh*%F3w1E+*=QvaH%%6&DtP
zTF$pa9gZ61e8Ws*cufpZZcCI<p}Fh9DQgCl&Eo~kGL3P$WHN%|sS>h3MIN6N)WG|&
ztm98<Ca~N6Pj_bo9p6_;ZT<9G182)#Ts@j^f^ZW%?OPVg`24EdX5A@Ghz=(Y^e!_+
z$g%f1Psfyzs;dzsE31Y6RpyH%f1ARUu~@|UrV6el7Ewc&v|!~_b||md4E6dK#1l5C
zLeazH!Lea26lo2vNIGN=Uq?;PqA6A6PFl+j)3ot=*tXnZ#X^quVRyZFUJZ{jS5{2P
zYUB9U6*1=(EMZ)kxJO1z9bPiDZ>~SIP<U_9tzyO!87CPsM$zi{a>vzdEI|vF{f{3<
zzp=vK;tL(apVh&A?|`Z6oF@F3Wk&Hgt-+FgRa>OOfOh7gxSN)mNcUP@s(ru)Qv<Jc
zoLv|wJZ+aW;j95$;oh7+Z5BGp&%5ipGqCqduJpV<17b9B+SxZORC1YGA6dpg<?l^B
za^q?^-2J8fks+}1#fPSOQ3jUm%X9mYu8N^80knPlfZ4wn&-vD=LptccRm1u!P^paJ
zce@IFb*hMy+NutdeGKKF59#O=bG7;T5I88&C9B`5hP!K1pI195VfFb(+y;$6|MR>M
zU#LMQe#AnkSOEvt`Q8s}0m2H-zWAM}ir?w>ODw+2q6X(~U#$b=^LwvsZdZZ8(0M!E
zbu_Gzd>oTi3cM_9yuXo81%K6^g@t~X#P7MaO05gJs<<^Or`Svx%RasR)b~gnp}tO)
z$v(h=b64)ndD8L0k-hX<qbO1Zqm?%s0hb0FIH?#VJpUIJw@+3CjTWwZr6*We>FiW1
zUaE+tls}hZp%AQR1{7yPSy)xy8=rMw0mXw-J8Omn(0MxS`qOb6cpmRIt5B4O;r!}J
zmoa{%8Jiep1=v9M@|x{|sj^5CJt_x(K19q+Chq=Vjm6#*t~7NS-0XIdowi$o7E1^J
znw8f0UGnmsb%QjX^*@jg3E>5@<D^FKTj799if&b`6t<)q8`b~g0h_Ntr5M8s<ShUG
z=ADv=G}=|>-^c?8j*eNW%a*A6RTH_~LjvByn??3_^T7GI@tM2amRK_9=6%3V9J6PR
zDLmKszm7h*ar&qQ3V6G}tx6Vy&+WiuqXJ$$i#>Ik{iiwJ%xCK)c8NkpmoD$?z62xg
zei=!A<_OMPVo_r)3KQFx2Ge?cP<o)RkkDs_b&9@C`VT~4*>~pFHa&hkK*1H3w;2>U
zbQT+|5kXNKZ&KH~rFg=V{CQx&6v<8{UuWio!8g*>x&Mj)=4MOX>jF(7-x*1J`Ais>
zQ*;hC%?W~A{8pOetO=q_eF{G02t%1J_a^O$5aQe~f0T+hLDA|{w5Th>*mu4y@7^V0
z%=mN-@+zC4?#&GWnT7r#w%wOHLPel8lm11w#u(mivqvOrg^_rc(crvC6y@%Zf3$8h
z#?K{Za~DksBYtC|^3fnM6t^FKxQx>nUn<7Mj@pXAW>ItSuhZfPxZ5}Sxr~V#Pfb6w
zOc4ZxjpeQ^mRPW}stf@iCSDXOI4%(u#m@K1_L>8d;AyQbu~cBf+TUVVYl<j}CR)uk
znbIi1D!qXoBRCa?#-Gp^!#06!$KNH>aAM$c%C$lxh<k3Rmh2XTPC4{4d1cYEa^l;}
zaU=W)$S}#w6o<yYslQaB95!zoyK&3I2;ISlLX-|kV9i-x3p0HM-2R=4y*5Vh?ic9K
z*(QmE*uPEhgA`FNX0Td7&j{|%^|j@<Na5GNdKqI^CA?I6|8B3A5kdlI_=EOJW4iN#
zTf7Y&MLB#gjxdc-zWq?fhC~_$wf%;N4V3YLJ)WVx(g@}qXWBN_%izhj_X_h`Dj@MX
zRCJILC^!98&&A~Me$%k>yrwEXE-$Y>murL>&E&$%LGloszPj$Fwi;%IEk!K88$sPg
z-)F}M1)LK)l&r3+4!u=Yf}wUy+$gmVr{7XUX2Ec%pf&>~mb(80ikRr%6f!@&R|$sg
zn|`gKYarvyu9RekF|q=OlLU<EP_b$du;kZ-iT`|vdzCQ;_qLrXoui{<`fuo|K23Oh
z>k@R_Y=VrXY)RK&DB}*d;GrG4T3ET1pSMTI6n&Q;zjM8y0<Y&b(glv%h>c{m^S(EQ
zi}(uWr*#XyaACs*z8Bii>L^WLQeuXyQLAHlm#SfP@0YQSays~TGA?+3k~u8LGn+R&
zRKs8K5wmVP9Xzc5VJR4CfnrnT651wp91|(vqKtIF^(ZlD=CCDF^IkP)eN{){n9fGO
zVQm=P8|k>d*9u=P47eOOF+gZ`OMV1sLw57=S3f+hVaugiU3Q0oW=oIVJ4>|Stz`Bx
zY^4p9r9wMLeld{3zW*UtwI)*ZSYmJ0S$OaBwIFZ7N6QZ%`sZ;;0|oc&Rcd}N_(JpC
zjTQVFD4cy-JY~zkffQEw<2AsC`HfaG0}T8WO38JtSA%I`)J27K;3%OCwq!AINb?(A
z&rB5}`a7g}-vS8=+MZ_S3}{N<77$HQ#tU_h`s-}Am>kdD{Ip`hNA6^H+#FRxQQV$m
zc{E!HSPpZ47E#9w4Z#ux7eyEtUzOaoz|S3Q+^@tpslk8NUfLy44$a|3e@o<T;W1(&
zxielBO&P}&cn{F9cd{n!!4g}5c_&7=Oa(&j=d?+YBt%q}O>lk#Hjf&Xo_wi{+3W2i
z%NgQ0_q$@Rbq!E$GNr`UMaL{x=x(WRB2a3Ho|HKY6pzT6Weq98WQG3A8{<N_o=SVL
z-UTQSH`P*@R)l$k5>IS`0GL}emYrOXX*sFb!DfC%Jn;3ta`FiuPFx}aTBle@2o%ee
zUoDSaU5Zz4ALU)(jREKKQ5(>rSB*womWBO>K;4Mj+?cpj<X*qt2JJ5GA20u*VR@8r
zx}hr<w7e%hoU5$i`}h2Jw?Juljf;vWZ{-9-)^K?x%^Ja1dWt_TmV$lC=6~m&aG+4@
z-yZugE9}X3dYxP;ffbVM-!6o3;N0sEnj<}yNOq`HTCt#CVS2&i0|z+3Pra-?wA>PQ
z4l%8k!D5&_vT@+UEe<>$zL|FDwgrw|ndMm%AqsMTt7too6ZJc;Z{I0xfwQJxGXx4m
z(2?4#>wcdTN5Z{0uEv<-)Y_SA&wdD_ZJqBJXCxOax)Xx@r_FHiqP~6VI$@;#klmIT
z#En<$eEE0+%@F={n^$s+5a!2?^KPEx!P*;@Hn#>%F|HZFy6Y!|@-w0Ko#nhp@5zum
zxyuv<>MIw`NejX7LD#)#c0NebLpN0pn&5+zbl*UoAe==f9G?dAqtQ|SPH><J5@qOd
zJI)A#p=appG_w?mPj%*pW{hE(6uzwPupm4#oiyCD1#zi~Ip`E;3~tvWj`<e^F(Hu^
zzV40?th{4m>lKZm<hx0(`Hdj-`lqYa@`cfDd~~GXArqfPL)_^~LO8K{JI}U45mY>^
z57phm#O;`O25NhRuz!33H)=!?*Kut3O?D;%%T+6kUJ0RqvRk*~s~A*!mTw6zF+v(u
zk;AYNhNXeOyNH4Wq<f>DPkI@FS;@^Y_f#0n=U%QK_ei3>U9_-B&IqycwacDu7eRGk
zM!>yhDJ=K*SCQ^91V3L!?hOG^c-3#JKj}zAhvFWYw}pl<)t<_2YZXP(UmNSc?_?m{
zzNs!D+z^9n27E6Rh@oqV(tjo4a@gsfBgDPM5SE$6AL%LLNGX4O@QalK2KXY1M3xys
zcW?Q{`h`3xkUV+F`m7=@t*y?>G&O|v#<j2S-<AZuX8GF#5lYy5?mz3Yg*u1%dLiB}
zDfq@DJverPj;KoIg6$55NLg}FwLq4J)jp^Cz2lT|=!5)`_8o?}eqZjWYp@Is1|2c2
z&rks;PYch=^M-iF`?)!!TNeE<qdA{cslu)I*}3^whG4(-sabuiJRJArbH8}2hA5k#
zbUj%kNJ>g3vyCdCJ#cVo!Gt<g0$Vn4o-jf@+qsQrpDRMLa@W!Q!Wy80B$MN&jPUz+
zT4!H|5^S8u_;#pjBHx4dUs5y^vTIgo1RSH|!rliK16o=TQ<J`zu4%k*zk+h^&C2L(
zN%(t9UK{0G&Ofi{Gse|vKORfV1umUZ5-9kijgg;PS2x}<fn&@%v8B?g(3n+fa4*t9
z#f!kujaN)jwktqc?3XGGsI168rn<OFQwS?LZ-(!^w_?L6H4MI7bfo{HE;eYzn*=4B
z<H_HeLy9NVp=+htpje@cI?u4y>Rby5ZFL?=(`CTVAi|~kk}j$`tB0OHvc&u0YxYO#
z7%)yh$a~aS7q?WRwST;|0_u2rcG+v7xY2jQ>4FY?<pQmTzgc6&exDyc*EMjd@SXPE
zJZ<QIaoQ(4W`i&Z3*IFkH88SYgr<C43-5VPn05`apz!!^Ug?+y&cF41-Y%gD8vo12
zF)v^`Po$`<R|ApCt39eB7?^(=*X;cS$k@*j7Fo2A-|q2De|)Tl{1KJbOG35_ycB8i
ze3b^q(!V`x9a2H&{Uj9u7h8O&3ann;z(B^t$k(SF3tT^F=OuN}7S2*1o!A%*=)7L4
zU8$gi=!iyvCueLif1voxO&@hQm#7x4jF(5=4z}9*SX*>z7b-QLRfBo$)1~v=G9ZB~
z45E+O;+*z;lm9|q?K6&#aUznqlCxu|a*Hh@Uv{>YrK;dVYKD3E6EV=U)D1oLZ4vcr
z*y>G!GA`0@l%13i!LGd*U)`Jn99;XfUo8A@#zfSt{Ru&Ae)5G`au3ky#XaTyN@%H&
zW3G!>;Q!yc7Y+t4yo2?Ym^p7nG%WGlEvL!@Uw+<~FO?R2<klA<LM?DnMZoi&ew+wN
z(EAsg#e&hD?v}upvN(0ixmwtIF`W7v2Tx4dAb+CUyXHF$px>-Nd}$H<jb?|7|Fgjf
zTd~Cp=8LyGW?$OxWP`ZhC*7{=)`&RxIxi|l66X3de>3&xS^ugts{{X7At1d!z<^T%
zlCCCK)~uRi$)0?FCc?!ExyNdAwQh((yL8QmZmv1j{{R30|Njh^cRZC36vnM<@4d3;
z<>Fq~9`CV<P$VM?Nw$cTj7m}=NeZQmev*-qRrJ0sL`HT<DYD7l{QQ6Zcs}Rzob!Di
zsn(BPgZVlzbP^X?c7_Wc?DaA#8}A`$iRYFDD0Cp0wLtB%DJSH*aLQ~i?I8nX$Jr7$
zZCG~Kwfteu0d#XJ`GJ%aaHE}&{uk2%7kcrNe|*_N@0+^Yp-KwCg;6^0%4k8^z>oUR
z4s7s={;3_yElM~_XO=B=PZP||t(s&wSz)e1#(pE33WnB)Oi%A?z?#HOf*y_q()JJa
zm))a=+fnU(f6i-w!lxCNlLTf^QhrxQjnV*3jq;nflj`u{q=x4FO(xj5-Q1OlqXoj<
z=;j?ybvSX{{bd{{6C9%xJ~DcS4jy>AK*Jw3z{$(6{%v6dHjR`c)5G*2`@Q!J?>RO2
z+$<O^^okM4N`bu2fs8O*{$@makqpd#r85E>7-9R(#*?Fh%n+1sxyu?uhMm&1@8K(q
zAnYq}`s8mGSh1X$+2$aF!F#$Be0EIG_jQ>4bTb>=&W)TCd8rDf{Er}ZfC={ecz>8q
zutPbs&C5zNRk-5hNUapd49_+=hYPnk;M-C6Oo|y2)VKJPCyukg#aj%U1rl8FF0U)q
zF^vTFB~wmyM_3{Cr{mXWuH0~*k1kT!m;^Gf;vcQ}v4O2eL)%UX54Z>76dJaO(B|(g
zbl;I3reoiQOY!i5@6(g#8)}K5HEKRd&&B~o0moaz()htYAVvFiG!g#nor~%D&H<Z-
zS86o~f^a7AWV`hdBK&tGGbOf;6V!_D7T*3P1VOx4*zBZ<;Hn@Ilvm0H+vl8L9Dj8P
z^onAi<<JqKaZ%R4zm6OJ2y)vgXNrRJuhkD4t11w&3o+$GJRtXZY4cg97~H4iu2NZ0
z0Xc^U6II-Npe+!}$n#qq%)(gp8rM{yXh6mHuopjk)UvxZK_LnAkhE^Ya-g%Ewd;AC
z0Oats)C(#~fd@<CD3FOTwpMql{)iBWS8TqK_K*fiH;r(K03tjrPo9$-7lwMe3xt7Z
zGLT}LmYG;bgm<q4YB}$VK+@=^Lfvs$puDOTAs|Eo?W;W$^a^5NA;o+uQb8UjU7xtw
z-zP!-89z>HUUA4&Q^U|eJgi?#?9P=`1=)K}QZx(_5YRvSTdGh23ZG7@%eJY)MVC4w
zAu36Dwem8cq+1cDlcstfr;vfG7cbGdCkeXD<W;M`1o+jc$gUKq23MnW3wd{>!0Aiu
zVTJ)ENEKbMG4)c1o}yH3i#2I@tv}7C{ZtvG0-rK^UeEyUqzpBMDH*tVHVa$jSApKA
z28EN4G@<lP`1!RCS@@{jDXMCu0<}eKeUu$q@IE?=G5on4#Pl;p%vz{GI2V0)3Wp8^
zXkBDdIU^6}sgM3nlvjaC97~S2vo6SWve0DH;$ba!?Mfi33{OLb?Nf8~KuysoC*&p`
zzIx_m81^f{aoMnZ@1OeM#OAv_F^Y$<Opf?hj|otqWp0s$1Ni8X$IQ;D05sq1F1_VZ
zge;Eu`4h<iRaJc4qC5(KIrrdntnhHo4f`uiYXIh2-y{pB@SyJa(ck)r9JqKmMNIn`
zfM9J6Yr|bU+<znz9w#RQyVaymel-SA9@co4k^v9a_sfUt=Oy9Sy3%IIoB=csG56ka
zlm~&!`8x|`;^5q3`?!b65W<K%+;6YR!KIAz!Hjz%P~qM%@5W^aGyZPA3yHF@5*egd
z*LL9lx$3$KoFSyaM4LvG41E0~ByTan3-mE3+F8a8fOnPd@0OD^c-B5Z7+tu))GfS$
z?X>|k85C&b%S%Dw+XXRARd#rNEw?f@%m9XhSQSn#NkGM5r^)mrBlxC1xFn`%0L}=X
zKu4W8I9i{s)YYQ}!Td<htAhYHItxT`H^g9yV{S6jg$i<&7kB2a0Vwh-wWO7aK&@zS
za#Fw^5=&>Ha!M8;*{tJ_WuP#a2cOcVy0VGHV~bHUsR-oX9P6t!7ldM&tIggGt4N{B
zG{=6AKI|<AIIbJ<gXcu*>tv>71pjOJ?;fu{yoHG810KAP9k(lPXt0RTu!OAyIqN~`
z6`m_B1>7L%B&J`e^AB;qH#P46Oc#EdTpl>a!3F0P+e$2|7m%9eeC+L%4j`?<UfDSu
zaG$!M>J#-pq(qYa*r>V=SOoe-nV(>Xoq++lpeO$j928;11Z~*Ok{deX!3zJp=ih(3
zzlbmdu?mm;&;rOc3+;4ahBYcPPNlvjq|u;{Z(l<TzN#fUMLuMNGNs0K_7f|Je6@|m
zlXOiuGwPkt#=!t>!JiHHnbwf;_2i>9n;P)_hGsNh6CIeWvbc!Ots`E#Ic}!z8X$CP
zJffnK7K}gfu#T^6A}m6^UIuOIz;FDuL7)c*W>EueA4GSMKi(C7PxaJ+y5z>+T`3$~
zo<DB<+iwrKM;RsRRG|hLxJgO7JQ{e=)s+(BPXWK~Q&agWsKEm#QAZam8X%B675ghG
z;YT^U(YF_5c)wEJReXpBZi)yr39wLuv21*JDxM74J(H)^d1$~oN}jRk5)F98Q)*Y2
zsY1=1g{1+J2Fy$Sz1_EQFsEJn<FJk@xRgr2KOam3t2Ynr`lZo<Fl(KNR|^UL?5Ybk
zexm`u?b>xSGX{9_=h?298wofqNd^z>aX_zoX}X4&2}En&zsX%A0xI1Um$-q0VpRTq
z{Q-w<>@V!|r4b=xjksCdKnt8yVqwXAY!EnfN2gAm2pSK&ubSu6!C&|8-qr$k2p99#
zYaLO6@?D{Xy<&RsmX^q^9^ioQdWDQRi7H_7?&q=E0R}Lx?kn*W;{qeTwY?{x0zaFN
zkL1fSf#$`rq_?r$kdRg96TGGj-#rH?$l1(rh2c_5@iq^<c}yR^c1aludqY#%byy+K
zo=r^hJ|B4I#K`foC`0K#$IL_ucKDLwF}iIo04>yo>(=E;5JFbZR@h_*WV`Xjnurkm
z^>Kgac1{Vp<PB0T(Q^XDT8wuN?;)5Ydykuwm4I|uv_Dmu3*^GHKIjug;fPUofGeL8
z4BAknqy}-rQKybCT{U9RD@W~wa4Ug%zvRvMFFcU0Fs;BmB@TH$l2ua#B}h1_%y3$t
z58g)PS28F{f^ph{UWK<3+<kIl?pON(ca6HQ(Z@<buv0P7{Ie1$d0VT;MGC@(xn)4k
zA89Ds?2joqtPIzmC{()}3xl-(ohQ%iWx))8k4kPw8FrR~ESTj*;4Gyz?e`8j;BdIH
z!xf|gFT{_VsBw!y!m#PBRa-m+Q^Z-NY^i{V?E@7PF>x5wXcD*VQh+n@C#wo_iNGAb
zVWz1e0rc6ugmNna4E|z$qv3Pllb@V=%MOxo=-CZs?;0i0e&{7xWTOh)Iv(HiuSmh!
z?_^zi8Wl*D9!YL+AVVr6YF3^v4fYIUQ$86g@YZUoM=e?n#=-|3^IK$~@yQE0J02n=
zdkfym`lJr?_<%j7DOr#awl$dyCW48C?!>%|CMeaI=aIMMKvKG~%keo8IMh5E1D<Jt
z`@~M`?3z4qB*g}uDkj4DF^$m>ybc_F1G>Tkc-UQ?%^Zj&g1^|imZ*ANFh5JUdNy4F
zMl>499->5ebeoDI*h(MbOm65_;T54Y{Gr2q{DIEXH{Rnq5QsRUX;PZ32=(_@zn=<G
zhJkM)gGP@5*xfoq2@Q(y(NWtWC5!-b5Bxd1^$lPnGkd7ALJ=;1oHa9*QGid@=C_G0
z1~86C-5UZFLH9|w%-%yeus(Um<$|^$sJOO&U6@yZo(pH1>_??xRoZEjJIN4IqMO5n
zv=o5w{Xu}Npd=8_&V&lQHv~2X=UV2Yc<?w`!kptI256dx3tPV-6weMuk@e)kI6$X-
z_nZ*?m})N_?lc6ds03OvP7dB#ga{{IJmAz{jrZrv4dKGJxx7oc43HnSeCFKX0P4_3
zB)=<$;FxpZ@x#(!&3cV{dxZ&J2wr!sR5OIUEhneGeo4qz%aPG!#=+_HBk9Vc22gy*
zU4Y6%0#vMa>9P*~UP_V8x7ce3yw+}!^;r;uf%nS=eqUFR3aSO2L16<3>f_`}U=oG6
zs!v2?*=a;gtMTG&1;Dp^(%pe}!f<+6?ZXT*j9iJhlQ3!uAa3O9Q`R5=)t+r+C6`Y~
znBltpm)8h%YBslBw&6R-CF|qA5B-PsJ1Nz8{LqKZ%hXP4%sg<lYn(Q|tr1PQIqqf2
zpbx#7QC{dOCty7Pb+ScwqKn?+&M&p};6z=+a5*yvR34+VZLaA;Z)jF%k%M&MUjDSC
zehw=nK99fEUetwZl7C&Xc&P)Xj_qw(u}tvQgcmCq>O@V=NZM>O+Mpe3K>MST9x8k`
zUa@+&qGzU6(ykG;K{Y77?yfp5bb4+IvGadKZ)|pZ-Hg(LSDC%LZ>ecuxLa;$wX6c=
z8#*+-)UJ83d(&?cyi@?S9|Y>J$0OZ&zKZvyH6g6t&?NXA1$<LmzR2~m4r$7=qaa_^
z05OgGVxOmXk-oG1MMqvWBc(QT(z&DRaMbaULPyXx5<Wf=knYum)SaahFELezjl_H3
z&Nyr$r^+e4mEs2wfmiK{a%E}|t9!^h?ZG<IvSu4yQa*yHcbjKTA5sHu*?@Fe={4j`
z%&o4EA-|D*>-52nyJV;#)(VyGt{_{_&PTt#H;x4Ib(z=T$j}hbhr7nVg18>*;ZUue
zL<By%FI|sO1*3bMB27Wd2nUB%6n=UJsqEUY65b`j@2$q3vwKU(Ypvyke8mN1Rkv-+
zCz=GCbgEqp*b?G6r_tDIxQNL4jXidvCc*8&KyLQ(B}8zS_~F;?60-U^pmy*M5kv+Y
z>=W9TkVprL!)C23NU5V|`A<F~92wI$lI2}SC?rR+XkM)$lRGU#t_3O(-I&IK#4jW1
zg)fi#lx!frZRPn#v{fL8`C)3!p%uhK;KVk2>lQNEdhEsV9A$X;R9c&Ecm-(*I*~HQ
zyo(rq<?fm4QGz$5ViCgoRphvNpPFdIK2j4rrF@D_2_hH51&Z6&kigz2A$SH#NaE_K
zX|yH4_qTbRH>oxds3|dO2&RHB1$i;L8H(_4A@#Dp`zG>}t}$tSl^UF`THc(RRDda+
z(8>0hEu?sR@15ae9E?}rT*QF_m<nHPEz93QvODbXX5MsAdwsiPC>sy7)F~X_llPFs
zWB8VT&I}Ogu~7I0hldsikt07GC_r;>Fg!Gp30$o*v(3Wf;bumJNd7fSP^sGzvu-=+
z*?xQJ({pk_s{3+h`zsYJjxFi`hi3=%sOZDK!E#Wre&O_KO&Sn=Zca8zJm9#<h+o03
zENJ`r2BbFOK+lP^PhjPOk7cbamFcn|LSs~v7DWdNtU;OTmE3UKFG8<hR~9t1lZ=X8
z8NhjRKG!6g7fzM7E<9V5fiWBEIafa>D4VvLvkl>g8rpFCnQ9qW?rR)8_mTyikFymV
zP89^x<S!|+$ucmdNtQarcA)S1Cl`iMVQ4U3Y&5ze1H)XrYT9QxASgPoPsUvoq~A4&
z(qEGS<&(@$z7KK2#>JgFA4YNL%4Rhi$ddsRnysf+A>2^#I_Gv<v;;KX%sMkQE(6le
zZ1i^&c;QFo-J{H`QgHgjCL{L|Suk(!pL1d0hgJ=qsFs=ozWu!1Jv<@{;>XS<ky!-6
zb?^z&bXgY2cHyVOa^!$!vmk>-Qy6liQv2`Q%R|7G2EFnuc~B=jP9xkFfzX-%GW87<
zKqyhFb+QK!arZS7La&N}GrP&^vNi!Q^iS0XdqsHI%U~?sDGoWeR+BQdlwrFq=lPI?
z5~S}`hMrZH1gUU@TKj;r^1u7C#3fZAk$;OJ^sy8u-SV!UJh+o)6I&lo4<b<7Jlk~O
zk^$E@?O_rABp^4kg;0MZ!HBo0@%v<1c%n;V%1%^;u!^bMgdj4E@XYA`p_2!}dZ8b=
z?W)lGDDq6JwmKw@eVOwL$AeDz>W5G*GAu6rhfFGIf=$BH-PleAxV14up70`rCuf8K
z(MTI6e0L@FnFv6<M`@L5L53TWFITGkbU|v0WAC4!5{x}<epouJ3Mc4apJU6=hiDO1
zi?L-T5YR`xMTAtr2C2Ohe-fbd!nC#O9c5sZ{Fpt2BS9d(h<DS)0In;%KK`a(8Dd^K
z?1tp2K(f(`3|<36SogO)x!0u(w(|*POZx;EN&YWFmf8p=_Scms4)WtA22}w&M?7Sn
zQayYj%LuY@1}gYAB}jhI=$3X-2HZM4**0;;;HKGp*7h3#R2YrB3~x$6Vz0$;je#-T
zF4@yRevlKWqWR-|Tn|Bd@AlwhTVrUmPX0L0ssO>c{uDbRys)3kuTG(143yd7EKg6#
zLvZ3s%4udc$lQ3JJ+Wm3v6kM|uajiqtzcHgS8r-aJ(-G-@{FKr_qUwuf6_o|@w<Fx
zWC?L$n&s?MHv+BxWscufk}&C+p69Ro0clNaZ#S<u1SU(r8IdM&P*#^QVS&G>?Ymqy
zQ7uCld;ZhybfYM|<83M<<*uTa?vz{pEH{AaP$rrp31MKO-4#*F+(qFQ_5QBB0eqO=
zGFdO-2c2_!roUcOVlILd39ESk93jK0AA@*cQS@DHc`Y^epWwN5e{q2S8e|o-{W)Rr
z^re<$91bIV>#b`tMWE5yX-nq_8>lh(CboUVVdrLNJ8JFq;kBKrcdZU1xD&>xBY0`C
zQX|hJ6ajh=u&^WaH3tWrI8|9hh!(S@%={dAR~OF28A}^qriAjLujiYmaadj8Wxn@s
zb>J(>COq@XHd6P)l82Ci!xl=TdXPnJ_*+#dO?!|(j?K))C9C5w$&O5SM`dmJF`Jl{
zoHvJfnl|f|cF<stDoS|$!nA<=bJF$s#&6`q#0#P5KpJfQB@#ILK@+S9KZ7GDyAa)f
zx;c4*G+6)S3Z*KaCW!G*+6rIGMz(BNf6siU#?Cg!R7{-LfLYX|MK`YnO~=pGy(*)|
zr1`_CA9bmN!+!Rh2K5m7NXAM?K9?FZlv41W)l@&|5z<5Xm48sS%O-7a4(6X1dU8L`
zR|EB&$yE*KDbz!lj8`0?#*&KyWBhp3;MC)5Njb^$=+oMUut5bHEOP!ApTZq7?6sFV
zio9M#`|k}|j%LzeX+d|Ws}Hzb`6-gad~X>|G%32Nqlm-Y<k{sG;|_8=o7rfc@)|l6
z894Cc7Y<`~Y6)+lSB3bwx_3{GZlFiM*mHcXqs7ce8Lw*IBf*A4M|p_<7Rs*?$%n6{
z!xEzF?6pNmuyTj%mQ=zHdhyp=d5a(P*tC)3v;J2^*pWIFFIl{YM#x9=Rp1#hse<@J
z;-*AM4VtfS2%^AHAL~BFTqaE8?v?>@R0Z;iL;qb!qr^@M&S0NSSg^ng;+ll3DiD18
zs?((=Doo;KQ+_8O8>atrQ`}TW1?tl6zHBnlV5;eTZ5NW*F*JbAKJ0+k@(<aP1if$=
z@m<h|%@-WloU(6wIi)g`wVvGG>7~UIo2^F~esN+Z$S#R8Pzl-@n%;bNr^o0>x(>(5
z+*rNL%LK~_0thu+jn83X#O!H{SMv&ZuoN!RiGn}^aJq`fH1{!KzrT+6f7Ri`K6a@3
zoW>F0Qc0M4R3i)46Wvzva)}?~Iu&HQU#tjEzOR|Ej<8{7HOKjx+XXSporUzH-ikm+
zYut5~odc6kzMhiZA&fcMSp|ovD}tVR=3N>KPAtv+*75EQ5zNM-KdW0<5twPue2>cH
z!VE({NxMB4!(5N>ZI~QVgtvycgp;&9SiUT0-@<QkEG*XtN2#L-XSpQW>63Y}1*(U>
z6l#*#$-M`9FD@y<m$mAeY7##drkHkiK2r*_G%&BS`k@F9a78DrR|PPRANvjdTr!x+
zhV;@oUjih{_v|0(6T)zbgj&1DvKUji9rQ>mK`7BQ^m*?gtf!+E^CQV)oa4{rUUDnL
zvc8np?IlqxL}Y(i^&1{bi=?IF5K)0jhSs0CJmQ#ljpJ}Zh$41&F~h2`Qw5yty6#5l
zOJD_iMJ$YLN?4FLl}lhg5jt6%j#ZzR#7?d2GSoj-#%3<Q57x^f0e{-Z>!*sPu-R4)
zKfVMN?E1e4f3>Pr0aK~p&6$?Qyv9!G?GlI>9$!{@X_X9ATDlJkWo5C8J%1R}Yl)a{
z!bo-DiG#b7k&w!EmBZYPw`yiZNtkPH&GCxw8h~px<a%{O9=o=XyG?nLgsB;%#QKD5
zL1{y$xyB<r24zDLUS1^Zd<}y4l+l4Hz97!ML<P+BzFh3Q8VMVyKBT++Qy0jbU$Jx-
zMQkoNulCv(B9@-yLkM}O52>Ul^26JTn7`x-bchf!A})hxLKL7unI}8uECCa4aF6ZM
zP{Ga$Ut6mf2dKOrsPyCk0dtl$L-AxK%rP(iPhz?O7^b}(F}y**?){99-FU2k-K2G{
zs!=oqb<5!6{i+14?$xVE`}cBK-@`5Awmd_?t<&7G$yLNuV<Q*X>ZLI%@rv^zn}*=f
z^WThoj{+7`5N9J>D1lA>_u6_y!3eZxTbh(Q@E98wUi->a6l07@E#cHNf(7l7ko`<~
zOv`KU2XCAJMrxEeVykQfhS|T0<3J9pCf_yvsLYK~7mns1qcsAFzWu|tUt}=GvWTRC
zCRXe^zG3Hjqv1hs+SJ4$(wHHgO<d3^TFlw^S=p@%hM+?m+|=_@5>wRhQPg(dLuG~O
zBL8q3!q=+2(}Fw_nBn_ekw?Bus23Ag{qrIN7+e4OmH&nqHu%PHs>**96(WjD+v*yC
zD*jnTDWwR;KO5NneX9&@9<n*t@C6|I77sI7PzdYDoXA)a?nbb<y=`d+fS_+&Z-<@v
zv2m_X=9MD9k!u1$&2EhdP`-H4o7l{QNj$Pbme?l|<EBp*G-LV@IsAD><182EbBd(a
zK0JeL(LvEiT79_lC;h3C8V6Qwy?E7Qeh%SHs7gst)&qy1Z~F#(SuxerXS9X+^GIb0
zve)W%z%|{|eeYWtF}=?GIiaKTNYf)Ohw3yPh}>aq^t?rfWw42tt7y(4RVAS$?QhyZ
zNffb}%BI2Y*E!sBNS#5ntzMMLaccvW{f1-%Efv;s#5YnaX$r|UY?lI8Er?#L(60>J
zM>S{HN<@xKAg#JjE!B%PVQVakp2K$=m0gW$(wiScis!_rQ3_4qj$v|^A6ZBD%~REA
z<9{Pm!{z5woHaoE(O<QnpI1<UH9IOZsb5GwbGnmPojNFo+<BV8vxFwuPs;ng7()7w
zE)e#F)!_|m&{S940vgFjA(O4$kMtVJI*H#<16{unGo!c}G~%+V3D9>V^$8oetVJ?Z
zjXak8!aIp(+@S2gtI&?H^P_pX9%PVo^Cccr7)N{T#=Lc#8xdN|eaqoKRZu+7<q}fy
z8)bU?aAfr}ioD~u61TTeg?i2lH7Bxvp&q?invW(ckaYj4s;jLexI4c;AN2VLn#p?m
z#8`3`lI8a8s);2DrjiaZhE5HlgH6_t+vDz`=2p&r*V>72t|V9W^@9PlX6Ihs9ja1P
zq+!S7&~YM+41xQLx<1r;E^|>tpbkacBsg|QRN&r}K1y%ai>@UzoAP_UM{j5frZM=d
zz~{|lU$Tiks6|+Rvj|rsnqh)_<hY>>D(~y3IfJ^<V=*6o-6(27M`X6nJQYy}g?q;X
z->r3_Sjnm0LpmMkn~~EI?+z=$14|FM`o0Uj-hX$@X7U?)&9Wsf`3eE-N=4hUzI34(
zF8U45dOfI);mf~Mm5RWLW*tgm>_)T8yw2hB`_NrYm6YOt3h*jSRDCtJ8`Zr0E4xzi
zJBl#8+p8ogKyQI;ek8sJ?NYaU^Y`NrI(1}P^XDZzbR{kcy}|XO)pul-Z4*b(r<M^t
ztc~(85qfzS&)J85NbMF6{qPGF(U72#=97nith^6|Z2M91?0nB%=ijKrotP3_fE@7G
z4b0?V1L)DdzFv9mG1OM6{$_fUEch!q>^<-rM5U4$8giG$Q9cnPV^l^KwwR~M$p*uy
zTvGg?_x1#O&2069&utkvEPZWn<irR%c(X3=hw3!?wUXZc+LAP^)qa0t?eGhoB$Pe;
zku!@H9X4XzaFYg0`$sXya!1itim;9*%LR0Nb5*RNLkigTgl0Q9|DfwuJ1d8U7tyW0
zf0vq!rJyS(%z~k44DBQ!Z`W&<(1_*&O^$bx@S0R>SQYpe<!}k25Q|zt{ic><Gjt@u
zf6OO~&SMg7jky%;9lVC7dfU5uHAuj}$@l(mZ%v~Fj_M1u=^N-9XUC;jBMEqHB)u#$
zGm9qb-=%R_+d?VgsA?$M4|?6<v{kXh1ytQI;{5NlUDSFg)r#6x9Co!HPQ21uL~SBs
zQs3%QV5U|kk(K|%K!W1}+o7H%)Z%AK)<7>MR(0=0!{J+EP(MYV6r8bwHsT*1-_D@M
z9J0g!OF*>09Jpo0z?*|nOFelF_1S9O|Cofs9^;c$ey54T{{R30|Njh^c{G%57{-x(
zov~)kK6b-k>~oE!D1}I<q(zogk|eSeiWEt*l!O)uZA7a#EhG}sLbfFO5JF`A=C9|R
z_dMr5_j{h}zJB**LpjlYq-wTC%x2<^!$Th8`LE+_)q@I%h&i>fUS__AeL#9%UYeh1
z6*zjOXN>|<g^nF{e!f`ay;sO`+fzZ}oLFu}=R<j%!u01LcQ)eG@7m^)8zO|zp5BZz
zCi2kZ;3^*+XD6I@ePF+QfK2Rq8X{-+Ru1Zu1^ExER}lC7)f0P7#EA38>uz)%l!Kc#
zPoV8xE~2D;pNx&J1W}>!;&ca14(nf&uJ8NCLzH;8wn}Z5BKjV1{*D)uL$BPW>L43_
z;^BMymfmV<;tYS9yQribhB_SjKMV>Ie=>Q^v^UEUnx8Ij>txCyfsym_bgKx_$hIzX
zzsV}XDJvj5@roQ8q?37eC6I}sso0l6x=KWTwA2%(u{`2CT<iBbh!KM=%onr$%EbEP
zw|4W86>yLivN_3Ag6J;s(9<MTiTdXkKDSt}LgPU0Ai?U-J0sI3x>lX&bI-LM-lGVG
z$02hq#nQx1zj!0}|1=2Sq0+W?e<j@Fo==<5l_PQ`4vQW!)+XvTdj3&Ll@ZDF-QxI=
z0<j{Jaw9okm(W{z&3@Th6<jNtez}h*5)8eJi+4#>qWqSVnwO3`#3LKD55y=FXGEy6
zDxL<!3T{c;+&B%mGM|kXYN!&*^sMi>R}2Zyku|k%)@b9oh@Mu`pc?UPwY{Na2aRy;
zO?&QfMh^~&oFhGz6e6cQv#xj1h&Yg%k47y6bU)oFV0A{5$W6V?$elAL>Q@ZB`mm9P
zz4X~zHNM(J=e}{D!sjN$u+1Ok@F&LDaiaLdthz2CU3~GG5S>n}(Mmrzz10)~J?p0h
zKj;yqj|S{5UFpQ@{pX5KYFgm)#Sy1mH7X&PxWQL&(S+!CJ#u<X&>Ghl?TTGqQVGY(
ztoAT{6XL}a#@X0#pu;`oYJjN$!5g3~FEL<5aL<;c<hC<$k}rdOWwZg2tt}ZRuSz3M
zRXbCg#ca{oGnek4VnF<^il6>(fl5S<cjT{Dw!^%WoA1<i1EQ+jS@;uKm$-fV@FvS?
zJ3J$q3GSbx5^-ENr7ks72<@tRz0^c|oFNOfRBWRXt$sxcaz~U2-RI5)NiFu6+qopD
zuu7l!_KWZG_&FIu&*HBm@y#B5r%@q5)g{`(j%{e4AQ8r-8$U^R>~VK!BSVT^oA`dP
zX}I|j8$q_&by3XC9`qW+2U<5Y2>d3j^@^Kob}b~b9sX#C+84p~*@o)GwFZH5zqly|
zllk5)(b^6#<i>`2t5k?_?uk*dASX&99QT=AvW1D!($=4LN`%onGV^)90G=6|KFIiE
zgNL?%nl#?Y6YPouTOA8Y;1}7RQn1zr7X!lE9@tA0pJk~5Dc40I8_^t{aFdDJ3(QR~
zxg-evR0q-R?BZA&KI+*lz{K1S&vl)mWa5cy9siCFad<rI-O?QasOtOAtmxw>N<zPc
zK6Q~m)|lV$)@}xFT&!!=u;wH#)nuzbij{z`Z;PdKmo-czKiX457iy|Qn4BHa5*QY`
znNmJ#g^hOSVh&%Js3{s1rmov20scjYR1;w<G+J-@^uVg8rqc7__#qt$1eFI_##&i|
zWY>`-d!(G9QkH0P?yop(7ZW$BL|Q<mqT1$uZXcsMRfp5&l{id-6ZU<sHAmy&TJy)H
zV~jjGYjLs5;!r;IT|QjW9Cn7A+rlY-8H75I^p6wbn370d<_t4~ut&UL)|Yt(&#N;p
z9gm4)r0cm#Wrr!cRia%S;@FVRW32S`v^btLJ^9z`Xo^iknZ5@)IB<F?#ozC)IA&6d
z#(7`R!83Jwpq7&h#fxR`2EWCTDnE9onL$U~3AVv_ULKTbm@7!yOW;)M(B8kVP0*`p
zn@9W23$0I`MFo`-NREgq@NzSOoLWd(&NF^2TAgvxg(L=tE^PZfXpGNyVp5u-1)<a3
z)cpI0B*@RCWr=uW7+UaLWf}`3qx5_9ifdAsQ+Z`Lrf!Vig)>skzeEuKQPS>6^hzA(
zu6}=~#Rz@j+RuGIkl-1vxqHn)X>@MvU+<V;guI1aWg&OS&_2<ex+7Kw><$Ub5)30)
zWo16Fz90%b$cf9pDGT<!I&$$GMp&me&`=#GhK!s^`<h>JC>itVCN<MQ(wOMZ3>U}W
zgI^3i?G+HC^C^4dbsB1(3*7ZMB7qon+tkKKtB@@yU-UbXhSJ0*GWH3QC~D=Kku6e0
zq6YJK-a#7r?X+_bUXcR*p|5ILm=d105AkaU(s0o9R$uv>m7uFjj@Gy+W7NgTH)J0T
zMY$0NQx>JMYRW*AW}<?<n?xKp#nLde+$rT~D~t4x$DPttRMD@|OT5je;raHMovm4N
z;O^5OnUPdO-uEthg4KWI-z3HIIe8#rN2IK<Iu=Wwo>e0m;i8PV)kM%LoCs9&Q{$$9
z_Kv%veTNZDhb61B4k_XeXPx~0c?#I)*W{$WHbU&N$4@FvlyKfjKeFyW4X8U-IQLi>
z<D=qRo`gju{I(fRYkRMW!>vB$;;)S{A0QjJ?G5XHcC0y9QK$tk*|K9QJ4`UpUUGt&
zrh=08)D4Zk+9+xLAfGNmhsV}VwYE*FNK)e-R$8G0-sCs5t<7|JwMW16mQusF>Z!<#
zcpY%~6mA&2Vv1`g&U?Q9pa$XBB-fSSbZ~z<%5^Bp3?77=X-|wgI9(1r5arRubmP~n
z+jp6RN4ojAhyn$V&j|XJE$iUI%e(fut`=}Ra^L-Z2?dV?6UwY>b?~?T)?22HC7kzD
zzUC@vpn7)Q&`l>DXnF;uMp3O$+~gXd6RUya#?cRNT+zl4*Q3v*q^!ZCvFcDBp@Gw#
z#@>RDwIIBAXJga2HF#CRMl$;~VBa`OYAMu&SkN2hiE0M!kKT$n_)`NP=1yK;@X>%t
zLfhRsBS33)RMxh74X{}Y=I{Kgj`zlTnVfN~=bP(_4o=npKaQlEgsOpJkQE#G6gaS~
z;FGJRfpxc?rcQiQf$Ps(?(|<^`Ao*zS7j8`T1%UzGn7%-e8s<$iwU*?m+*863a-7%
zD0aK9h%+bc#4|;i*xtrYcJ)(7U0|I33ta^msYZ{JNlaYvU`l<ss)m8@3k*q9SvcR@
zARe&H;#$y6ZtX@@_#A7QvkqU0am!~9=K6rJQ+WaT!z!4J$!$%Ukbtg^h2OSEKw47i
zZQm6t*kTl@EqqrDv?C*2W~YF<2eh$JDP_dvz3%@~L5A{ez5t{3fS&2MfV0|4I1&`Y
z>CZ+&aqu?b?}9++i}z$MTSbrr#8>Mp3!x)EuX0Zs130AlE9Qj)>Lv~@ZLi~p)bqu6
zeT&v`bCfLg5|&47bW`%(L0%Zj`NZ${x5i@Q0j2a1S@7xjSV<n`fv?5HmfuZQNbIc7
zu^g5LVW)F?FoYXCt}?OXhE@<xor=01w-P4vZYx7yaY0t>%*w}EmJkv&aoc7n1tHFs
zxxIm0xcO4b%w^F6+e7NyJ=i7T5`f#b9$dJj<+<v_ZVPZ)QcD&_#qqVQz1i&q7p~>q
zm!E7hN08ewy7R0U*7p0-*nV=MX0=<9in%$KZ{D5yyGjfv6RC<XBDvunu|oUkEi=eH
zo3h=yTNIt`9?z64Sbp3vwqz$~hNBTm<BwjEF&K8ytx}m6vz1j{Z_k_Jl9R@LU68Re
z=*wkpJw9;g@4W&cQ)GTF#hZ4Pe@0VJ$9wam?_|Qi&J;S!AH2EK5=bDO6kO+jLjYY)
zX8G@g>Dc^_dOK$w2_O3Id@dph!L9Gt3+sy}*zV(VolA=Z^?0e4ciF;l{db?fN7)2z
z4gI{_t4LU{ubdUbIwvf>UBe$3!{rx8<A5d!+6k8r{bVQOibYLqv7<5Ty`}H-uO%Uj
zoYWvaMTUew>6_(%5j?ZpcxPfr;Fdob@a(TB{@5NUj5=uq?h|vH*VdEp+N~lglV2P=
zw}+NI)HQ-Y+7-<gYGm9RY79I^mB3BL<d3zTG-!TbJ50+WgHgK8#Vb$}8;T0P7o^c3
zwc!Lurkp4m)<=Aicqj#Z;nJP7bu^ecY4iQA6h+Ng)WUfwX{6j&{c%#529Ni@w6^XN
zgUvyUO_x(;&~|yfzHx^k{O)z73aE)g>*bMSUuET>o4w)nuW~~qu1&vdFfWd-V^zY>
zYUDu_6wB>CYsk`P_zCWx68IA;_$4HA6=K&sI2jRc2<gWrx=#lrv3K<Y-yYVS);exX
zCGBO^-(zKdcutBnI3W^IIZ9ASYDm`#HiUlE{=cTG(&!Og{c2B^G7QOk9KS>wqF1@4
zYhb4gHYF73T)m=#RrgdoEwT+!=SUe*dMJyJRH=UzWvV!NJ)A%OwIMc7j=yw}m&bP6
zb<sPuYLGtZ$Jx7rhTnO<#O5poBn~FjvURHCX0IP&-DxOR*drfIR)o!`(Yb?@6r8$H
zHF30>h6~ARYkzbrV#8C}auTm5*u7dWy`manVuRk%+WSfva^CbvU0e&l)@@0Zer^Qu
zl=vji6lDl!Ts&zistv1^VY_;Kjd3(2Jn8%%6}TNx<t8m?V~5;Yc|mCtNO<Rc8DpxV
z;A7qA&kZ`zl|D%2{%Hb*+dd(2GHRF&*Ed>wL>Jwow+a&9&@rpxGBG%!hQvoPl)wL2
z-?iP=MO2$&cbvFNK&3i@<ZisWv`!DL2G$m%)n@QK{l<Fg00j%X*hKUE^f2!-P%7}s
z96gnS|E*uCfg2h3%A;-caGNZkDbsF&_ymqY?Gg>#z7xdb->r*u0q#>dKP?fwaA;GY
zk|tiny`>b<b-^B_P<!}~6;7UV=e3B`gqh#Q*2N7vcpRGgY26=d{EhFC^}nYHd4r;?
zd5Sg!*03KTdKhTpDg5u~D^18n5nW&FHF5cRH(Q7|iwj{(?31kf3u|^8xSDH#)5GJL
z^+VwH_G4^*M>XMixO7tXlsb}KH1ciOnRt1wHz+|?6Ow^0^-fPzaa^G`P0pN&P2ER)
zRdO}3B&soWs$UsTx_-G+e3@9a_1_kmSqci*r&`kmmEia}$tU~}6ZEq25JfWz_LJlv
z<sWDH?&&qIufv##;Hr1b+M$m0qn(J7Wa+DjGiHk)tA4o#(<NLDmzh6mmwrltzp3HF
z;A$oc4zy^w98*QYiQ{|5m&Eay%C7D$%f!*N+wU(%sNk^QaQ}BdQDk1~3VZ$okh{2f
zdh~!Yg1Q2NlURO2%yTKqUkBEQzdc&JM+urT3TzRcf>?1^b<0j4U`A?r5AO~|SPSZ%
zaS`K#Z-Ot@v(~@rv%P(8uM{A+*<tO-9&X6~I=Q+rfq~s`9`9!BkV7bS|H^?ioY>r9
z&Gxs)8pqodWQ%!ZQ5)lF#=OOWuRf((OjBzl?f7}4!9^N3#3mVj(d-zUe(Sj}%?idr
zjC&(hQb^ECF8=V44ccAK3Ex<Hcu}@|slr+kmn;qr-*jL@z$;bu0){2b-~Alp`zelX
z&Qml|3LCmF&!0}owSa4W@@C_5F_0^-28OO-1CO>$u<5KhvVA&ImM@AT+@bJ5{8cu{
z{j}GS^)iQzwXf{^d@|xCL<fAd*wOx0F(v7l8Ol#y*!irE1edG}<ze0INY7pO^0^vI
z=P&l}s1hQf@ZUgCL=^{aZM{PuNjC*gyVV2XK4CbmjsNIyZw1=^ovJb7Foj!hP434o
zA;heFPX1WWiP%o%rpj<SIzER`%tVARkoQ=2ex3`fZx5FwkC}ifTaorQR1oJjQz{QT
z^1!L=99KiI2{NzR)S7Y&BBjZtr|K>*T=oi0rvElZU=(L!aGe0QXb-u5HQ>i7uBI!?
zVa71X`!0Q|LICd`Kr^;U06%SNpBS?l!%9bEYV@4|=DTHU>k@>}b>YpYt>=tz|Hhr!
z^@4)nPB%Vd>Lr32=YM(E)QoUCIs9&3m>`s_Z$9<7L4u;Tfv!D418>j97xJ7!h;R8*
zf9)<AlMkx)#`)5)A(ek*^J5{bcuXNxG>T%KIWwV%n+EbHhsSbR!k~X7{d_Yoh7lRX
zXx;~gC^)`65t}Olw~-rRIt&SjD88JO+G7Z7Yv;khog^?NoyAPEC82+M!~9xBLueJA
zIqWJxhHNSCW;*Xmj5O=X=zcdqb;^*Zdp#Lnyc0I>IVX)&?}%+ar3QHPI-U1Njwr0Z
zz02w|kj2gjhtSMe1Ki2-7LH@(7v6T^=?kNBIM#cuv|y_N)=!<3yu-?Y_bSdztF!ce
z;mZ8yU^@eZjCLIRn<|0Rb`yhR-inAD>bSB%H-M`8J%JBZk{J7X^NsxuC8Sc;+aEGD
zfRoGGOL;R=U~nDSbvsNM_dV^lh^#Sypv?`d+zry`dz0R|@q!9^Rfhj)`Wc|f{#$YV
zQyG}r>308lt_lUmoCd=S26!p<rLdbRhryVQ%cXzRP<FBV*{ya1<o?>ZQMZe=r(H_+
z`=djFOu@@)acx7q;*&jh^6V;fIEott1Zkl1eS!BxCX0^;ty|NI6*2cqxu)rcCW@*<
zjulAJAaiw0^U--FWZYYBAN-~T(X&(2uJ>q=K34f9HC`D8HhUYwxOH%jZo8>-ml2BU
zj)wnW`HU*x?_xbUT@*&8f4r=345mwVI#-A)Y<7I5^hxLe#EF`X;wFgPE5uXorv_Oc
zFXx>9^dLXySN0!?j-B5<#P~ea@r~#4%;Y(JnB>3k_fj#1%Cg@1N0t<rkA#V(F6*Ot
zDe}`12Q#$Yx$tsSTmv&kd#4&CsmRJ4O&N_c$JwXsK5<_)ut{fS*b_b~j<j!*p;lXf
zl>auLlBkKZWm~8jw^{Y;Iv?fzwS=joOz1sPEo9WG8qNICLm)*ZrApr#+mzqmbd1&l
zk98Qw*e_kYdMfZCY6}CKoMkLu6I#gGVZ43U1s$Y`8)c4~0=Kejt`2|If{B6Qy`g_v
z_$2MCm|qEOt|n0)zR?2xiK6KtHBH#R9kDp6$izCzhnLYOwLrB$(|Avn0;8i3rO8K_
zXkEI<LzdCPy)u!<t9aB9#1p5MQN_fr@x!y_@tUl@-5rL%DdX0a0~ua@Oi%_)R}8+<
zK!RoK+xALD+%R^zadV1^4TXlaJBBEj$`#+Z3-Tz(ft<^Km^iX#hf2<<I?kwXzG=ep
z-Q?88Sl%usw4Rr6CVf+bpz6MbxiVJn(7nB%{*Va~=|?eMEY6uOvkTVk5ygju{g)oc
zvFeoA%_*Eyfu1kXW6LRmv-@Y*Oc+d5=DS#&_f<y!!@mwDT>Pk;@8G9T0o+f$*8Mb4
zLO1_TGlwQF$QuP6mn;MnD--#Oc@@!qOukmYjRObP9`7Ak3z&2%4|%u9gR{L~-<7<~
zDByO#*wo9wwPeCrr9>8&dR<php3E_>T~3=7*I;1f8yB6!SEaEO&&*tkoniETiM&0!
z&l;V|`bV2s90?Dr=%2HgX2|<S-j}bi!oI5$LeYODuswS$;CkaE!}*Kc;eYd%aCOM&
zZ*djJwT#q4LD5MDe~WQo#A-|YTl3eR`AHO9zb}i0j{RXY#KgupT(AKD&IbzVv1BM2
zou0{GH^~@GP+QkCV9xTBOQ)8cNGSdL;rAkGit*tY_n9OMbDaA%VDutV7>TO+Q4zY+
z3_8hs{9vXTI6~4V&t4J4tALXm)}8;$Aj`?_shBiHUZmf53Wore9+s9rrp+=^JPRzh
zc$nf))L@=!As^Jomv~?E&N0M$rD6h~(QzgBUXpMWFACJAIotRb7=`U`ySp^#s2q#+
zJD$t~Bm1G9LB>mrKlQ7!E3-{dyZ&Y=8o0q6uAofXuwnGn>xkciCI}+=op3PchX1JO
zrb{d?2M&7fNlG-vt+Os#9iO;xY<TaXwgwK!UwRRDlEWC{iECdb<Z&Tb?%p~NZBB$K
z-4Ps*H-f$847>IjE=&ya75QA{LhIB#vxUzH8B+(7xC^+@mlzh8sm%l0s?TDU7ijQb
z&AIbd2N(3u-rcpLnHTZ(dsaBA(2%8XAi6~7MlE$=dc|3OB<r{Ft*kP{L*<sV)z#dH
z{J3=2B0vys+&tG>oDC7{9dkft3lEY5&yJ?<5=OGa4c_8W12`l|2Jcqn#ng3=UO^@a
z%jR)uU(Okz`^(ON?Yw-T%Qr4(>|*8UoMx9YGXuOPN+!;W@gql=(@XM_DAu;#VUHc6
zBEU9_-fSa)T%E_{t-r(|n72r-%A+D;vE54}OAx!f)7y+)Byi@Hh;XYH6(v0NpT^0;
zXuDUm9M&R<gxOKso$^$0=a)6#uMolg7N3iK`&Z(M{>Ke!t@;Rx|J<EHkPsL=B(JL_
zgD!FRk8V-=I3!UgkoA;|n7io@`#9zB^ofAKtf@X)c{@~nnnm#_T_DtnO#xmlhssm<
z_3=tVUTNr`7>3=wr|$|YLQXaH?$VSV);5fL>RPdKQ$K}kgPsy>nD;y7=k$;~q;x_w
zR}!|B@Ba<@DC56Z_O=6Z`WUn+Kjukh@m0I&{9?We-VRy*De~1vHu>lFq#|jgzbGq+
zA6JD}IjwW1ULU&m_^dl!WbtO}AKTgu>fla_e%Yr(McCEPy7JQU*jXkuqgzdZ=lthO
zXH%#!h@SCDnOA^R=&wdAO-;17z22L_VSqi_iDe#9EKV($uVm(FVQ<0Y&|HQAr0Y9G
zB@&cSrZ4VhDy)M7FF~#XrXdKC=RWH%D#OX)N7chHT~vgg>J|~AAyj~4ZTTG)1YVvP
zX{*zN<@2_uPBS!=IW11nnpDv?C-BQ;Q6C}qJNquP_99n-k*89_YPh!9-=Hvoih`A6
z4YnF4*dk!1S<gv9+~>-OXJb?-x4-CT1k>R#@@Hg(#UsZrew$9PbTjceE>h^NDI5jj
zrK2P?aj`$ilh|T_t2ZShBF)S}YK{`^TGoWXbid)UivhOxa8R=zT7aI}w~5-Mg$6Y~
zT|o&06bW5F{()|V`^TBZ+2PvQ79ppfbe#&eyUFpE53JGf=S%&yX>H81DLvc4LB)OJ
zJ_w5de+!6(r*=9Rnhw-<*s6zq?bP-+tX#9d>bmo}?K-gS=*$z|ssrU!&raW7$He2{
z1+PQ4I*`b&(%UPh1=s(st>5;RiO#|3Geu+Cu<6^Nd^VGU!;Kr7FX-5y@k?pTZa;10
zRUe_T&8lL@?T1;uhip(_pm=cVrWWpCe%F|bG8FgfuCdCq!Jfj|@QqJ3;qDki{S>qc
zRhy%(a^1GUe&)6Lp<)fRoxK>;cR&U_B%QFDD>mSX_)kIpFa@<+n#Eqcmq1uwq_azu
z4U7NoF`qTm(K7rpcla_Ho2UY(DRwp}mF%-4H>%=yPT{}N_X4o=mU{Hx0uvikBFsWq
z`FBD_%`w}b3+a{gBYL-(@K^rrGrOdOr>R~~2zEBqdGFI;Ix#Wyop{rJNf9#YXWgDF
z&oE-HWE=DS0w}$ljZp~-IMbk`JH<WDm=AE}ojwk*#}$2T7?DMz%hI0HD+U;+54Gt1
zTM49o`&%b?L>h+roiBRhzcO@`tlv|&GvGvQUFxSup+r=mb2RN8W777sRR39PY&w)j
zxN%6JhBGpszNVV-Jh;d3YK;{R^&Rt{;}Jt~S=;=@iCo5xs~=jAPFsR2clV?9W@NAt
z(aFa=m#w3kwyl<>TH>38aBGRS2!cH-+f3?W7~N@-YCjHGAp6{>HMORKz}43~bnLG)
zy!R!WE>)PL`pRO+!Haw-O!m;*ms8EisXhB-|FRi2baC!X0S~x(L*2#Kyk@+orUa`v
zn?cL%QfaUu7aotN8@tyuGxQ!b$}SX{V(4W-my!Pp3=nqL0*c!i0ZkA6TNddsoWGPd
z^_3l=DkFhUK6f(QX74*4-AYH$aW?;!L^jN6$7S+r_A!#~I;?D{F@bJ>VU11W6659L
zlt&&XelXhUB;(5z69^fEWiO5_Ft)7?^p^QE$T)hRPv>2RF-(Py<dpi&Ge$!9%2pm8
zW(a@ER5IZ-##P6s?LB&Pj7=@NRw6=UjE0q!>_mhSYZD5o9%BAu40#N^5#2VyD6t8O
zbDp4~npn>7&Yoptg~pLRFv;M3_mQW09}WM4lZ5m2W*LE*YrpjwPBWIbuD`DH+YsBm
zs_r%{%`h}HHEVn5GYs{dX*TarL$L1&vL(1?8J|82-douCk1_MZ%HL_u0O~vFdKWRv
z$lt7|>y<Rm*q9UiYa!79#dZ$SVr8?8b6LutV!kahY=&F116XrE<L+5g?D&t7_F#>+
zt`-{<z7aj=im9x<Jy<7DVvccijwAYVBs;2v{pX_?RBYDt^Wh}TGY0gfb9aB|!1A=X
z(cTJuY^k4YB+M2V{{sL3|Njh^cRZI}7>Dh>XR^bO-(L3Uxy>X+DMf^$l!hcLDU>2B
zqalP6X$Tc6o|9FnP!weq>9vxb?e*{Z+<%;NpL3t<ducfKlqY)gfOB(?<?RU?EJXe#
z2B$7#{R_6RhldY7Z8x=V(5FFhRc2wL$|~lg{vuYdo*%|-aTSdVRPg(GOXlox4iHil
zc-B@V2<9w7E|KpPIItSF?v^hnR6hQ^O|4QG&KEx688f87jRw0KjdNVEK1&_Ur$xbu
z(fY?RmkfI6GNrrAxFL9J9dckuK;t*gzD{W}{7cAZw+Qfp?&5^Mf21UoF}S|CUM0bo
ze`7Va=lS43D=}*FuN0KUW&W&NPXgg6+b69`0uaoriSLV$fzXuuw=GMEAZKGhG5aY9
zR_0u;j&wP|ZA;=!oQWXt_OeMri!l6|oBDo)cO3*;&{B5^6XD1^x((NuC=ibJglyqn
z4|_A}AH{ywfwQ4=hcBo|K*G+t3xQ-MNJ~z;LVBzNu^PWBuX{>@s}HX&^Slb&Z#JHp
z$kBms1D6|wa4Bf>DABEmRD)D3B}{a!ephheyZa_GP})_#V{@lE*tUw~lD_G{(a;rd
zYKJUDr+uuH-KqiFmvZ(-5{S@=%FVQ{$wTXzPiY-rHG%qEhodut2yeq2G`oTnU}wZ*
z(}Z9GoL}aqrJ9i7(#y$s-7|_1RJ?AHP1S)cOpul&Muw&4bV~RgWr%%seJ*~Q2)V7w
zHrnecFd5SFS?{kZ6i(^(H@+o9PwyR{C2uO|m~6Usl%@_0cTRruJ5-n!F)k{bp+Q{o
zzvQ~W4RGg!@<Zt}bl7P$a?<uN14_)WB(Jv`@R&!oB`l8t)(?X?PoHN(zL)O=FF^}p
z_?sOfLz%D*ms~ceVZjWcq{cCp02e-cT=Owz!Pr<zur^&6rp$Clvq!Zd)|hvut#hre
zSX+BtgC6AF)Z|*SCBn+Mi&K>o8(4abhKy(f7~YoXPrgQil7s4Z`mVE~`dDDtWiKPR
zv`JCCwUG>)4l`Gav)QoEN_(K(*#v$hibpneQQ)$u4Ue%W8{7&#qvxE>!1`rg`s3GB
zXzuzVwx^v1)CSeI6HXY|boftso}hu?E9r^*Tr6lc`(*Sq3m~H?I(Vv!2I}dB8oLG<
zaP#*f<4uG)Jape(=FUwAY;k+S6)`%v^tTaSSy{k!2)w4-LxUsRqUUml$nf+={pZ|4
z3n1*Uu_GU)f%V-0AHOp?kTLz8de+AhPRaGE*cDUZfY*qw*?*dF;MCIF>IzGcGCb_x
z@{j^GZc1mH9M$17F)+=$&k_#!E<CJ1N`{KOlZ8zsim=D_o^t&!OK2Y|Z`(3YgaG;H
zffw{-VVeKeC7C))2spzp*X*tX4i@L5JMW9Zj#{n)bkP!0vPR+<_XzOxf`>Zq4j%aL
zQQY==x+Q$WMTGczG~r8lvfjYNET*QdSt0Y*0z?}HDmf%HAh=OH+}-~N##rW4)Y@qQ
z*>}3nMOmwZVOPkJU#TDQA<iv@_dCqtv>(Q(6H$d#%~st4)nQ!!iZ}g~i#hn+`Hxz>
zw(lO(Dj^zu8b9+5|99dWz*yJ6s}j-c;HGIr!=U#(o^)Vf3vvYryA`42cu5vSu*+5J
zd6x07yw8mvR$)L>-JG|rMhZ&H6J(CLuHq8Jw<(N|8^QDA)!q+!5-@r3lX|B!2f7q}
zYe8VZ3|t2;#N^isgV`glV}V&5$jvId`6jO!C>3!$SBv9^Qt@hqe;FKT@4@4;KWV0r
ztNy&t_XRgp^Y48x?8AYazTTi@dYV8VDVlzK8wWH?o`?<*<v<PV1Rfs9FouJwXN^4~
z7BGYDA>?VRRb1ZNXtBD}2*UO}y^9IWV3n)72J`z?@OR@LN0^#MVCI&{9%77Ry;cId
zi^G<2ZSqAQi&KUm@>pFjss2CgptpqQ^ZX_J*k$bvQEv?(TIl_EbM+sX&C9r7dxjVB
zXVmE*S2PU3mP*KUF8++ITpZhE<hY2xc7B_|cR?Q}yK5z$`M$t@ZH_qoyK4b&z5n+4
z-61{j?NS-fu6=_0uaqvjq%Gi_m%0r#cIv^79i25Ub?<RGMg9)2&;?wtZ?4R?Ru_(x
zU>UmizTzL>1RkABSipOFelvdQ>q45!DePZ<4?fkJE0NH;fNvH$sQuwF8}#=j4xH!i
z$Ln9|$75R-@%h7s8Qml{{4=84en0&iFKqgfCNaB+({}9Kw^+o2-Q-e-hRPw_?=6)n
z_+<%C?^a9}rL*Ai$%U_#-J^KV^36imp=Erp;Wd5EawaUiHG3%d_b)DX$@X}N?kaxE
zXQ%XA3npwj6TVyM>;x{fJu^qnjRU#t^~>7xnE_+*yl?e+r*PpbE0)eCoJe<ZAK|eN
z1CCt}{}`D*jc0A1@o+TaLhaO`?J4tg2+i0ksl}efae22dw{~-*gy^$T9&|eBO4jPo
z`~TtR4<2xryTOAj%5&~_t<Cc}a$sh9(L7$SAuTkt#EZ7tRefZXQX$TQ&SR6fc23_9
zg!s$+NTaX7E_Iax`nNOb`l-wKEa7!<qnRLb^vd+wwu=J4FLUlVRlSOPgL`$YsxV5i
zs^3vlMuuS5LlQTHIFWk8>XtF4C|ZrYBz;(s44QV1zkIiGp}_c5JNXcCw0SG5;(I&^
zfP-0o_7OJ{7VgYsEJ~oRiv~rX1xVmyT<rFN#EV4A&duK5BZcPP*4FDK6QTV2%$|UE
ze5le=KB3~PG>YZ_7^<L2g!`%)>nq{~kj1fKrMX~P)cIdL_lJ5N;H9+`ONI!c)r<ec
zCpXHY<x6Kex`TAUWOXo2IY|T!?5tF?pedjzo~<?%BOM5OC4MRAix`RsO1u(ktB68Q
zoH6|)rUTbIn^1Lu1UhWXYr>nXjMQ#*OTAjqhEl>8kDVM+=-G(Ng^S#3Xg;q0@4Z!R
z_%wEy7#Ads6m=esX6;r-HxB~QR9y$2aI|c)6Ol!BFXsh6)NMf7yZchF9nb+kRS^~U
zS~+z1Y0huSEt+V<JtxYc_d4Koe@WaiYaQZsa}ui?(n8azgKy^DiEy#1xOnHS_2^Ms
zO0&alZM5@DPC8Sa1dicNobuI5sPM1C%UNF{Qk}C?4PEQM<Ye^ISYB0xY)uW$Tab}y
zgu<2_CkpiL%x!e4P(zuew9$SoDr(v)gXgwT!D>7~KYc|Vy}2k^GATqync~6rwm0c;
z00NF?I%%NMs@C_>rx@t&pM4o$zcC>FX`SDtr<%ybo}=}UGZTHc7@oG0TI1DFdzX_k
z0Y#Z@R#G9bQ1|;@4O%c8E+nw~DlcoJ(0A$k-M+C<Otp?MOF$0<gB}e_kLw^pEbqZy
zA2zzZCy&ukqYu>T*5htlNa%E=;j_PpjdU*x5KD3m;l$PILtCzr(eno{<h6gWQGIs#
z-TX{rQ0qty%PglL_w|2_PrhKIW~U|vr9x96c150!E~BFLT>dQ9W;S}FB=J7(*+ys<
zRNlKSjE3%7)#>}ivQYlTf8By>|G9L{QDZU}9R+s$bS?;IB32_U?yIdi=+r0*uUOF0
zl>qbN(?kYxe>BK+R<VE`b`$<213D^*&ykAJry`zT3&Hqj3&^@V)6DFmq3Mp!dY)P$
zvM<UmRrj<6PU)IPK{gHTpwu{rC=pP#;<)f)jU{~Sp0-;LRP^<?qWuNm4d}b_&WNxD
zOYrTPmg*CtAji$OIQ`R=QBrTX#{mH=5T#$;usw@}(mt)^EY!%M+`vqZ>~TwA6>2$5
za}kjdZ;PecWeJpQBRzL@jo165)jgzawbAC8h$H!Ye8}Pb^w6<`mLT@P_C!aB7V@6e
z-z_3GkBj`U4L-|Z33^eN{T}3Kpa^U82JRhwxLeS*n|I<ZAatNWspy?L0ugOaC1Mk1
zCo(n3C9%d?>4V#9=TuR+|3Y^4+z7UOa<SlZqB%&suRFBwoDx!fqZtzQaR%GiP_%Ei
zh&lATPxi+#6_7uRe<dV&5i4FQWX!~^^}jy$^))#;w9<5}NH}X1D=sL1<sbr3qkm#S
zhAoYrc6F@d(BOnL=BrJ;8!*_#8M)s!RswmDsJj$LI6<q_qpwMCBkcCYXVuvv$nIj%
zZ2l%L=y>(^^Wb(f@WwCgEvV;5kset3y`5YjmGIe(9c&6qS7f&r*K;Gv$^NDUA{V%}
zOZFYfHvzp98CEnZ2l8AFk-PPc6Gk_m+pFGX3|i~W>xGBsaqq97<{HQeV>o2Ctv81D
z(Fa1mNz=Gx+0E11e4McNeVoOzrx6UNV-Hgl#&EZ~;iDxtIDm8hgxb2thLH8g-gI&0
z7yd@b>g)+N2c+K-x%Yt65Wa5Wl=k}Y4L?{Bux@?DDrS7iFwSnT0TlEbIjpN`zzxMF
z^Af15*jF#j{InPPut)X_Sz_QiHYv-?4*Ix)@w2#}=&R~OMn}Hbj6@^m9dY-;-pm!O
zSmm7W&}BX7n<`TZ@^8li5A8Z0owb4)-BdsB|4$cQdEPO>1Abs4=M=X)w60)1c?FU;
zkLbd%bcI{|yI)vPxzoZGY!%ZkyK89F$A<ncvlF>3gIJ4XiE>H*DmL59d6>434Vx;f
z2VF8oF~1n)u{ci-uu7ovx%aT(b7Eu1JH>JA;JxQ}6Gk~;W%^5P@qQM_N5uGyc1~dQ
zFfYG?Yn&iA^<<m;2ot8tqfgeSO=0Jg`lM?;xS;U-Zc<z@6O6PfYWTO#V3d49<AN<W
z{52V`;SpfM8(Z0hWubqVdUHN2*NF!**AJD%W-?&>Z1Mc<wmFPA@~Oo(k{2=(IrTT_
zF<{fQbxc9=0(PjXpSQ7<50+TIsOk<K$c6HAcXF37)&jd{(^dg!+b%lsWPk=Q9`%10
zd9s2PIhDL+j|)O<^@EN388kqin@foP9PrF($-og82H%tC_LJBA^u}z1{roLX;OLYR
zE3FcR_X$PA5kD!gGbL3T>)`?u=uAdq;=uo(q1mV{1^ga9!P|{^U{I{BT7fJHw~A$*
zHD8k9xN=5jMF}sY4T@~%50`?Z;k&z54arcwA|p3#%MYRRRnl8WrD0?)cP6Tq1oF~O
zgRi&*;fC`bQ*wkXi0WPaH?)@oYCPYs9qJQ;aqHjY8MZu7O6)Qoa+BbUhGfa%5fN}a
z%KLyvLIDO7jTGWu5h3|wytT8sI9S}5Gbof%gbepYt<=jz_|E%i??|o0TE11~5Vlf=
z&c&A$y(2_06xRxMkd%U|6BQFOIjUgOswrdRO$6bg@SaCu(m)6*KdvUL4l(k>pT)z7
zP`@$!(+5sjXrBz(QFd|z>_~}Sa4jan2%}=x_Ch((Y#U5{IiLYMg7x17t>pyD^nKsL
z6YJp8a?41nzZTrfW<NEJBLTCaG<s;yda&g?LT-@Ih8JNjA4H7F(9DT#F7Z}^)9SsS
znrhd4SYZ=Cu1tZr`A>(YQdA)Q(|uycMG|-$MhILqp@K%(%_OgrYQWWhVe5(Q6xbE;
zvFQ0t8l=b}8^QbP@aAEChk+^$y35+q%vBjML+uoOHnstj3NLKFH$Vr6TI=ITo(YWV
zhiM-%O{i+=O*{C30U`7Ur>_{YV13kVP2~+O&>5JlC!{kW)ZF}UZxkCEZ{8+UO%q_m
zg<OhTvEWC&wQTyVE*$VP68O1Q2Q1_AH%xzGfuwxx?Yyh{AeiEj{Wp^cVlKT$gxG8t
z`?7Dm$iWcO+V!5rej~vzsSbPpwK?pt3iy*rG=_~|YaZ-dAVW9lj%n%^HXN4U&wEMM
z6!wJ4>BY}bfW;h$>z-mkfAgT{bH0sW>XGY1So6@v0v^d1PAsUXi<LAS!{FQb;6p#1
zXyDM~(i-5$go@k^l6~C(UFUu^eaxpp(SWsaCB^{4;br@%V)Hd$^;?oCp~0pRV|&*!
zDwJ?8=Uw);05J4wiU^>AylAUY##%1qBUu|y&RW28`aM`2q5_|q&r~T%8}268<<{)C
zgoO=0)Rgs9C?6x9dQiOP_jv~+ci*#wh6^2UFd+)ecxiXHnX17ABlghIHJ(c3y*Lu^
zngnDknfU5n1t^V7XML`;ggirYDOWop>`I_5dcT$iZbr(TKgpKBhnk($o@hg%s(FQC
zqzF)b68jXkTEh1V$zhEZEf7dnv7G(M1y^5}I*LqN0G0JSVC&lb3cc=U(htsH*Bz}+
zJ6^GXP5Z|puAJQf-=}u*a2)Q%z8N%>4a!@9k7qzp*lRTy-2LH+)$zA@=?A9>xomS#
zFu5w}uc-o<f`W>&&VTq_&j1%|b#t&fpzZT`cs=looAn&$oy4zJ$tp|S1&A~_e&Tnx
zJcJVkj;@r<;#W0#mYj6}bntnBJKVA`c}w<M{(tkhNwq!at9=-BeO)S7_K*U<>*c?5
z#};u_D^a`7QybwsIrJm+i$g?`V(?Y|W!yb7S)o7K3~qAiO}{@a3{i`(4euOT#@R9a
z@`UH6ARwotG#J1SEjK-$C2v~B>0*`MS^Xxk;pMc=moMC4vtTzN*RX^WwsW@&Dwsf1
zW9*ycHO{rhaFsmgTf%GJChrq*HiodI%8&%#Ma(?SS}0v(5pRBAuWgWF1S@<CxqB^V
zvENTSuIy(n;Bzs&E9(XffigS#GrM#GGyL=hGlF@%n`Ls;O5YG}{CBivaoY%Xm9zQ1
zuiG4c<%KbFN-zL9Dc(bZ+P|>h53;i;N&oO*vFCHcL;B#Bm~IksrxOeL`i*Bx?=1c`
zN64{ai$3_Di6H+z+=6}PML)8(&*DP5UE`-p^<blBO^b3(C6=h^9~m<=gLCfe((P5&
z1Jm0Oqgs3iUp$leW!wE3++&eYT$`W^4tI-x^8c>G6&n)?VJS0sVa`s<B&ROC$-17&
z`REg#z>$>0e{Tl=Hc|iDJd6$HkNJk4+H~OGa-p{H*9?B3$aW!dmIZBnf$x5J^x*P6
zw;ul4HjA&=RS{kWvEYTv2ai`meYi6D$)fMTEPjRF*!Ez735^Tug=f((yy({6uOABk
z;aTBQes)nz@R$5HQMvCwyyVx_BU~ACcz+ptC|Y!FeNpxs<L?ljM~Rd%dohona=!4+
zc8!lQZkczUhmYd(4kH91;YEDINEcTEjR6<JBh5J^|Kg%@8KixQOL%u|-HznTbfEO_
zrR01c$K(88TIJZR;JB8D+sF$VJPDaI)iRpI_m}tTxGHiW>*n;cq-iQ#dVRy!wQve=
z=%7k+F*(ts%V4~-E)^cchmgW4Gq}d&4;ib2T&Q=FL5w~_f$x9JUcY%ai$|aO_4`m2
zH@elt<J$6$4DDfQ-LV(u@JE>5Gae&eWYHU!bX1iLULNvA6t4yRdiKO3PZu9*yzyG%
zdN>KXE|Zwn-b?ra?Rn9n`vPb-#eF#MClTsUq;gKm3jR2Fk6Kc`5TfmWcWPl95xxzH
z^xq5NK&4_Cu@72Bkix{KXpJ?m^yz(D`n84=`N=QTI2nqg$rJg<>a27?H-qoaOA<GV
zqNm#^jY=SCG&_F3NgK+|of`I+@gPTU=@O=!6ms$)Q<@HFgH@hrny4oq;+Vm%$p4i_
zIzLD1J$bbu^u}uiU0ngRPBiXjR)H+a#jFpsJSBkL!hz!#*+NJsAXMVvWqITyzUA_l
zQv|T5NHq+2iJ;c@s4m@f1@zRX>TiS<0mdmOwjZt)LuWj-QdL?Mk@Dq02aHI7SQ*k0
zt;Z4w-MB!|HdR6P9c-5+O#-YwzP<VQIw>UL6~xzbObu-w^^8|BAplw)7^}#WMksfE
z%Ki>@bSOzyHunSp{2%O(S9Op@-#4aa)AwnhUd_TFwKoKqR1x}lO;sM9fAKTgd{q;f
zUaFAzZKDk%0~56^vI^+ns&H203j&h+7IpW}v^IGDk-IC)Rzz((M$uTJ4w4e{Z~xJ*
z1Icv<yrn~wQQLf4)yWVN68_O^&;5@GMo~SioL{QQpu%p|C4hqJ@cLr{u4K515jRzs
zs3T8POSvnjX~=C~YC@v`6(0YSIP~M%2DGA`^^tDMKpN^7ExrrUft|mL5yq*B=wlaB
zwGEi)IjQXC@iGPkao_8cU-KZ9O{ej18Z2~QB!$>1!2+Li9Ab+z1oUP5wy^#=77CY*
z?R}Zeh6k54herZ+(C)7AH)kKPQU9T;$1-kupx9LwzTpoM9c@`&9-!-@sq{z1n6&|P
zFJykU-$h1Z&Al!XVY;ZOV6c6+lM&bpelV!cqoBMmi)n=sy2ufWyxw-k1YVyij`;MB
zib!;V@lIV`loYc|AmWJ`Q2fTlqN`~rZ^|!4CY_B=Hi|0r_F{00OK;Q0({!|Bzkfo~
zZ5C3U^yMHd0w_z~sQK7WM=xJAna}NJB2rGj!ppzrP)^xBufxee`)_X)zMD)(yAHGk
zFzPJ8_)sNL;R78hpLzVDZk3GWB6**c`mcHA>8Tht&{302p=N=G4wAhptu*=95?qsn
zX!pEmD8A-DxiEqzl9dpSyNg+YimZ|^%YceRy6W+tOf{5q=Hu<_o>q|mUxE0GMl#a8
zx3T}{mvtzgcqDtLvlUdfWz@LokWliJp@esjByui&eB>m-3XF`J?w@kkK^HE>^&PY4
zM=z(X$d&Du;B|JtVM;Io4M~}Xo)DkM?RN2~?K!!Y6XGYX6-BSTKZT7=oL@WfVs+bb
z@`42{Z(lU^P1t}2Jq^NEta>r~bq|_0hgiVVN2xgt*=p#TRB^g{%oJAkdok<PxH(jt
z3BSP4DWg)QbFOkxOBi7%cW%HTb0FK^mHzxk0UfVY+?<rk2^z$823vapPG*~^-%gf8
zj>Eo2Pe-}I$;H3Y$`wH4VvFn7W725(<lg?VGrX{pDE5w6hJg;fJuGm|&%NFS6*?T{
zgS)$1&01e>geMl$?ol<u=+e#8DjEHJ;FP&7K&;se&b$9tpE$;cX7{DZ3Ul#8YZmcU
z`=}{=wmZ-joy>*Wjy{b}?Bj#$r#Zb_W!8B8-~G7XmdkiepnR6zEk1ajwc;FTV*)ZI
z*J>T~XK|ilu7LMue6Z)3lb3v?F}&@&ji)#L#rc@RTmc=t@M-<HqimfK{1S`)qZ{`N
zk8?P4*f@w6E`2=)O=3oHKYd__>%TU<Ewr}xi7GEt%~j78dm6%=sOZq|#R9y&xZTjD
zlLsOS{>~a!8o<&Wcz2by=AoucamB|xuyoqfdS2cDipD;SwIp<6Jk0Hy*|&J0y*Gj{
zC0rjy*ouwU9e-hGpPR#tdpwY0udwy$Z#^KznZy}d4`avbw&{p{;(_7EPami{>%oM9
zhJ`i$7ki<5)Hzm(7vgU8ROdA6!m_mE)=a-itYGM#pj8|%*qk5j6t~g^tNl(_T0c!=
z17T@eTNU}Buqt-Zp@t2FH~KqDl>T8Ylhu^`7CxB!R5P;GnhgWDK01HiHIKPkH=o}1
zfFJH&BQ&jkU;*U~aI3^DVne<TNl_04VB6@cK5rKmH0m7R)AMW@t08T<74}6C&IXQT
zUmRva-0_I9_R&?$QH8@2X$u26iXa|%o(b!4?pF*2PB{Ok<%Lwf2&8rYjj~r<<Mr`q
zLY2*$_gX7!pK=g`TxC33|0M(7AC>udB8nS0-dfkE%1FR({-^5>dNRP_B<J6xW*&&?
z+>!0RUJ`hu39ib*YxPEL3}+@Ege<1HM;J@N$zsJ)w_rNh)!C4yi}=AU?Wak2kTh&c
zaIRYTwU)~VLQ*m?K^R~)@y#{M0B7w734Tu+bbRV-JUb}_VaJnW?%B%0$m6FM?yTkY
z54zhzIvPYkbz{25rapPN@*^J8iKc?W<(oAlxERD6)+k)hRsdsrBRMjS3WqXh_D1+i
zz@l%z8=O;wr8h^;UK*vqsEdMp!8J*6?&H#`y{HVn?#J2=A_^S0^CSzmNx|M0mp^;T
zRACp*_@V7X3TR1TF$N?VaN6ose~3pNT5b=A3YAgd%r?!g+ZnPjFsmL&wcG%L)TQn}
z?G$i5YFC{^kO#iPp4CU`8sO5+?~tiN1!LwFCHdxc;G`1xS9DPmOtXqE5Ux;R&P^z2
zB5gfnoC_4JI!OSBYG&}VIt@00h~S|RB~Z(@JF@AYHuyYuW%T_=gOMel2<=c6Kxr|d
z>T8}{e4Q!r?k61r#dl7LZBYYX`nx&*wY-w&P`}GLjsZ6%bxdy`REKBOb!zR;DG+Ft
zu6WOa39fQ&PYV(@z$@B;f95tcQ1tyiIH<^iD6{Vk?Nu6ZXgcrp$67k<v{=+CmS+Pu
z&-WPdX-(Lkx0&zfRR&DN|8cF-*M+TqtJ`cT1nAJ@Rdk~;K_+jN^ddwLbc7GIU-Z%j
z(FPfg<@-$NNjN+AwNoE1OI-TbmaxX*o2kd7xLGjQRvZ)VW(Y5XuoCwoBJ6mUVIjg`
z0e(tfKybzg{6f#;3B@Fc%80a=BeCG<E@_J=StihzX=&z>PKKzHgNHwiFaccNStr?>
zfxGqQ&o7-Qz|J{VK7Eo2{{sL3|Nj)1cR1GX7srk4y+`)m&-2*(bBsz75mJN@Ul|Qj
zb}Azz8Y)soTC^#%&q0(?$w(y)o1~18`SbhhzOM7feXeug*LlCL*I$2ADTX<7uvK_u
zz0j`#ozxOFg&HadR^M&P-wbfi&uYrkR1?|`o``VIp}^2g)_gvL1)S-*UR<?D6GFAV
z|B7|hgr!))z^`{Kz~qLzY`d{0Z1(n%r;=&_kH->abS)u=&OfrOR|6z)C71lE40P#j
zOBwl=5M?~#Gi|N`ag=g4$2kSC36AQgo3I2r=D-Wb{!@n+n?~<n{U-~V;`DZ+!d7rX
z{f3jBry7jBNHnvRl!6uO`D|qwD{#aAx};T9L1k;0%HkzakUw(j;V7pSFx=4{sC=so
z>D#YJ_r?jpZH}$~34gbQrQZry{M?lwU+npxu|6(vNZe<=lxGS4WR|m6j{<}Y8Wa6P
zOmHjS){SMGB^;*mjRtI!hZp927D7g=#Khh+&5=JXKrw&MrhTL=D6K^Jb<Ru^y0fml
z3a2a}lJ{7vn6V6m%P}(VEFB>F4O#YV5wd{RJ%K;=o|FWSVX<Ov??yssl+Q2aCP4P%
zu0j4M;=o@N<kF_yMCL_YlAqNEXxZRL|B+1;A~$Z08e95IUU~mDRO&PVpRL@>Br=5H
z*L>04(b;}-VgBCh?qYN3-{s35Zy^98G5>XE`wXww>x_@JnSrdt$QvO=J}A7P{_cmy
zC>i&huK&w|DI|`4JQjYK8yIt|zewI6B_rtnJUOOr3XA8S80E~dgNn72(_6|YdGc~v
zUZ|f5xX!v3j&-v@%~EKx;@@GiLF=yA^CDv~JTu~ai=7FAf4K-Q(uPP=x{^oAV@B}w
zG4;m&a}2<L!2aU`?*Mu7U~O=st`Uf)J2UR~q=P%=xm6PYSwN=0Prs8_?VB~uCK`eh
zOLMKjz%oI5WaG$m;0yW4UiIC-UIX}39o@o{^p7a6SIC`p=ppY%^)RIv7{Fe+iwUAR
zbA$xL5JQB12U(r}<;22eeb7_-Wv3)KOGI(($x-laAwOQ)G{?K52R5CZJiTL6gw&0M
zAHmm<v<>kOx#q72jFfk6SNQ%Ap?_q)FJ3Dp!}LHTs7n_V4AuQ4n0^t*t4vNMg`Oim
z<lG){+^h?gxvz^O0>=r7peTK@_;O;`;}3jlH9FwDCO7llVwCXeX8C@}sDXHY<w{(;
zo(}8`nQ+ZY7$*2F+nX5=wGtjZd$%e+)rOW1W)DlrA!4CorYfxBJ>m5$Y#WEJHspzx
z8%S{s62={y8|-d%6VH?KDgr8K(7vy<{<h@+QSSaKJS+7RA*B26jV#b0g@y5aVNE|_
zc59Q|XlNgip&pba*Gh#egIBbdj`R~#b|I!!555ye`ihI3cT?en(uS>%y!(kCx23;%
zKk6sc#@S75x+#!J=F8V6^b<CRH|Bq-8zkubm=>2;w19K%s2p==Kk;(UfdlVHhl!Fd
zCF5cZEqI&o%wUVt03p`k)+4MwMz~y0JS@9!JrC@y?rm5dAm&!ac`)NAQS+f?$~jj9
zynkj;<GKflo{gqgmBc3rZR7W%O1<jf)8-j`^WzX9Kf>6)6!?eeJrsC3PDUM;;tiX4
zSx1P)hO?CgKc)yD8O`=>L2BSG-=DwcH%i<#5089xY=%(qcXf=fRt2n&{$w{bMm!)n
z1H!0(3B%>`5FS2N;A+2>bmZYrB9WXkSmc=}OxRTy=Yv!rH^yP~OyMu$$Df4F>>K|P
zBDKEyCT+^l(&H6r|MoZG@oe(?bJr!}_{@c|ews3LbgHFhZJZ*~y+fK)Uat^xH(YAz
z^OS(B@;=LXc$%0e%VaD~=s<J>4wP{z!9-JeQ_T1bQ6+H%Zak%j^Fb`4N~aZpW~j5K
zoc5QfE4^$oyMqyUa(8oP&?!RF^sXD#uJgoe-Zw%N5hf^I-s)~}N&%$u4!+&#_>YKc
zRmsj_X8}7FPmz<H3eb9z-Skxa60wgjL~4k_2KN#KL`Sd5LlmVyz<qdyu$2+5RZ8ao
zx;%PS20eLbb#1*^wTTY$XL^1PDR9HUb*D`k-Ez=vTYfI4iXIdf^u@VO@IuPAFrH)a
zazMRtuA$SJ5g<|jgAhMIyq+1T{GuZVF*SDr4~jCuRg?OkbFBhkfAjiP=~-DIX#~p-
zHWtutqS4zv7J_2&m7Iw>S?HhKHt<TF4L(qEtll<?0Q~{pH`{K=0-b2t(DBn8a9*^l
zeHWKFn7sB?eVic+EuP0}>_xfZ@poDBS(*g6G0zw9T#$uZORWP&5xnq4^D4syYiY24
z7ruS+p)9bPyM;(I@<W@=nf_~%vXFS5-!Ohm7PLDg?x&RtKp3|oi$<j!C@>U#e`YNQ
zut&~bDN_h0FXqg>J*oizS(}ymypn_EU|YY?OCoS*@k&VHP9^Bi`;caGTps!_@cUnQ
zB?fEkH`uEjRUjwnVa^{<1z33e#n3`U0<zuA?Z^-{sD3ncQGWe@WfxC1c~nTj?upK*
zm?903RrP#mKcxf(Mt-3^)iR(~+av5Up#>So3TsjxserEg*;O-bIrtWq(dBl73f4@Q
zg~i*{AUa0+&FNZsusxOisJw{=;)BJTI=5?r6$eExb&n!2J^Ye%Yd{;K62|g5q^V%K
zsxF_uK^abZNXhU2sRJ40O&y!}G`MGC;cQc`0`Q>u5$Ahd*gR63xAlb%I8|N@qVrRO
zm7LPY(}{ZUMe<%;(SRPD|CJe}$*ch<$Guej7xlnrhwJK~u_5SZPE8x0(}XzV?YoDi
z^nq&Ea;dw*7><0L^O*jl1+LeXZ@wAQgZ&ThR*P;o13~V7GZ}6wY)Xp|w%eo!qK9(l
zBl`(B>{#H$pFoA9Sr&%-jdVeykkn$QT0ki4souC2D#X>i^*Yt44dM>2a*tdrq0pf@
zb$XBrDwM%-)xT7@`&(Tg%Ebz*Zk|6e-$n(`fV|N!&osfBvj0_`f;FT%AJIOuet*(&
zz6u99Rj4o&wKcD?hLByR<yIT0AW{*eY2>E>fv-Z>x<ofYiF#LB(i1Jf&EIVW1Ee8e
zFq!p*$tH*r%o_;f(uA*KK5uOkgke(-|I;PaO<)~C*O{-P4o*cp^8qh8!Mr`8$nmE&
zIIJ!zd=pfKrQ*t^PZP^T+rf%ZhBMZnSF*Y&GoS=F&+)yEvhE<N{~6Wfa9V@Wk}liM
zA_Xv<bV!Nc@SALpwA#25X9a)v8gr)l%0bSygYTXsuaPU+`=c92Ea8se8l+HU;L+7`
ztEOot?3WUjW!P>B{by3|$jVAU@W<AtZRzZ&@R{9&`qToX0uJO(ii<*fRiJxf7Z(!W
z$SZ!57SQ|KgYSWhAb6)=nb^j}i|3kIOH$7Q3_9N^sr$eS{}EYYvgN#}x#y<M-3<T-
zjQDLEfCJ(j?lrdv@ZrzwmQ$OU3Aq3A+0HaSCJ5B!@C-NLLu0m>iEch~h<rZ2D^8FO
z<|!MsQ?&UIbl#`<s++;TB+H<c^K*p8;=d9`K|U<IQivOzOyP6I%x;76pTtN)3jfdu
zFB;EZ+xz6S30!*9p35}xkuch8+jrwRFOEkugI~QdP<;-czaw#r)Mf$m^i*E_rc~W0
z$8HR#b3Q!SdcKz&l?afx^XEm;e2urf?nYprbLV2l&r$MP@gaYC2VOi`dviIo%n(dB
z2kp*{oFWyIvPUg#cyX}yRYabUA<%1`-AUarN3yrp9bj?hMQVqSg?O9+uxFmuJEgKn
zK71V(tQpRWC7QoA<A3RcX6j<r&V?0nsF)#c=`JsNUCD8c_tl4I?`-?H>gkZ4rE<UD
z951?j)4V(QO%J}-ix#DZFyPCo)tz#C_;6fF>BU(eJ>c84Tce0+111|c>$i3DVZsl0
ziQu2QP(1qCw<VJa3(xQ484l#fAm)#AC!=&>%h=ETlY%U`;JcIIm#_dvz4_xm%%cmQ
z`QA@XUuMPhInBpjeF7M}QBbP7L<gRCyF_M7vSZ8Z+cpigf=FXsO47I2fk6eKfVL72
z+_&2-t++x6eS(?oZp>>#{H<@nk(;@2xtX5s+FN0qrq?yFzoQMjuuJIX6gO6h=h&}@
zIO6A0&xhXHAkBGbHOY+^6&tw9RPDu(;XzG?m8>?{D84-{Va<nIllFNJREXo0ZQR#_
zaT;*aHm&NK@#9K%Y}mJTJD6h8+7($#1FzV_^E)@K&m+uX>_04tQ=i>4&ganJY4anw
zFM9=1*NDp`;jT3D2;XFVf072yyY=ljQiRaiW=s2@mon)1yG%p(7!5MMm@v-16vk-j
ze@)&EviL7;G^Xb`4Kg_cAB78vV$VfgcJFs`xR8FeVk(6O3|i5h>QQ3o;TQF(cSIg<
z=Lv*%+@ZlQ>vHwL8F36c?by48LlM<v7J~Xd(O`4i^`eal5-8Cp^8B=c5|)R*3pgdI
z4N9l_R;uNsFmm$Xsm4HM<o?;Y(cq{y_;@Tw>-I=vxqf!~(d#N05m6`X*{==VM`c-j
z-^yTQi{~?$_o^7T#Xs59Uk9}6|FT9@$fDhq+#CCr)lhQ$KzuK~F5EsCASrW44v#+d
z%KIdyfr^feX=CNO&>mkFOU;!>OW(Wk26CFHm~dJ?`{a6_@A_OnnW2DkuF2P&xU^7D
zh~^d;pbzs~E%Jp<DB=;0zo}jwS{Qt1zpuEj0f^lU%j`O!gj4TU1}*=ipg{x|S74YS
z+&P}{^0Tcn9z1Ti#@Ix`*a#oXwTng|QQ3JgWTOg>gnd1`cYuP$IUT0^8jK;wv2!4`
zM+Iv-uC(}7Qc!-X^2_vs2`FW~ZxfGFMfZV#Fe57pzRlV?Awn^O$j0mDYOAVvY2m7H
zNt_m<#dOLMPje`=igKWOsiBRLm2OS2CblULO`FFPz+F?o?0QuV@$$8#pL`lPc0Kj@
zfHeSf%(;%LyK3lQeI}Y3p@yrajl+kk0Vbye86IS)VY^o8?Sh*s=%x|AVklz)Hl=#n
zAGWAr1#gE<^F1XbcBaye9<l)H<mr7DA5>9n+2vQ|Wd*c+afz3`)B^YiVwK%ZRk8Zz
z;WWBvIn0a|PZxi00pfx-!_BcOm?h!en(Zrt!;8buW4>F!Jt`}M!3||}b3x}{wGya&
zAYahC*8+as;Lm2grG(eEYS_L1BZ_NG{I!=FEFgtje2?H2MU0QOO4d0ngl@LG8u#W}
zfX;N3%g$&8oJ`>ho3-Uft#?oF=<K(E!Bw{R*IeZBKwo)cFdGjt+z~6fA#VYU84V&K
z8gl4oxyN||*zq3I^B=sQ0KyNviK^Nli!T|*cGMa&W3}JKUG>QTr7s)xo-|5hOt7Km
zz7Yn@-Y%tej|Si$Bs}!-q9nHOJ}Blu(BXCd$(6xJ1o(`18#c#mL<`=&l#TnA$%-Q{
zil-ONVJFLtVz!fFnEfXFzJT*T()mI2{t_#5;O~r){c&3aQ+(3Ot@P%}N1QWhWV#s~
z`pViL`9}yxNm=i%fxjff)4@C8J*H3|ZJWlrzVCqx4C6i)f5~N9;9P}*DV)81Du4DD
zKR!rt-%z0amz??4oTzuy1U_2a{;^ibhp!Bdtv|qDQoYM-hi9`fT)z2|J}8<OkExVy
zpAMTN-<)S`iI-jXR*#v}niJeeIcAj=etn*F`(XU1Io1fY?@TOM$aCQ$$Afc5eE&$f
z_*&N8Uk%~Lp0VGHS2$2g+~K=H-6FXu|COhyl_8uc-4h~Y%Z|4SlfN<CS|%GSy4|8n
z4dA6LPHoa*!|dJ9rQ$1BNsqqg=3?Ro&@_qFI~`fkYvtV2wrD!M#gerqlCBRwv@3<Q
z3RqBl;b8#%Lwc-GUo(kf&<Dp{$&_Vj7W5XVz4`Ai1D55LwpqvOf#wbuRBL6%nU75c
z|8{J^-7j`b$1m$b09V@2L;1{ji9SO612UmaqK}i|30?SoH;?)$j~PR+S|xqo%z|%>
z%X{Nlb>V!`pT7D!W;|cYzR)$uir+kc+z!2@18v-$uLsy!aEq;1V%s%#Jiae|OkP<B
zgq8g^*&JuV4TnO)sE0XGTSRQOsa6{nrD|B5*jQ19Z|TZIKW=o9sq;_Stqp$*I#i$4
zvSP3<qldT|FUoUTpDJ3Uf!KAf*r-cv_%gbrAatFBe}-qCc@?aC?m;Kx=}dMM+}rSL
zK8+v!KHhfcx2HkT-jh64k2o+bPN46<P66cpQBfvCPlHBTrlU{)a^j{ttpc&yLTD`N
zpvF*5g=!d+S@Y&b1yj+Ose8i6$B<EP8AAo}geR_ZGdyS?awjaxTolK|RJsy3QGrsn
zcQ4;ZUM!5bX7+qi3=54`M^Z$nP``adJg1cpJ;ra%$<}Vfy-piKw+~a`z55-FsBV7D
zl#ih;-IK((oO#>Io=~7N(Rf?#oB&FA(6&=6r7{0%jnv6(3aozcHt(mb@3U$~qvWg%
zhPLtRn_Z;9oX5X3xs$?p#E<US>P9(~&7+I0d_V!efFuK+NfFdaP)KUrDUYX*7Iuk_
zQJ}z2ky|BP4C_)gieqyWumi6@^OdK<uKG=MMS>fV>-^;xnUjk6X(imCaz7QSwp7VD
zzLP-j&4m+1+m*3(LFiC)Eft2P|MA2ZNui-ZQQ4s~6+G%0LMzgs!Rs=kh|w)FXwKrB
zohPM+?62l7N|)1M_jw;G*H&3fY_cG(CaL3@rSIFS+_V9+Bzbdo%HhY=GQ-#*4ZL>Y
zoY9P^4zxzkrTw>G9`h@`@>aFA@X*5Xp^iBn2<;>Hm#pVlY{M@4qx&hi@GHZuY+4t7
zX^nmOdR`IZQkz2QjHqb8Ln)n=Qy)TEGT)NxIqAQ-GAQI073p-fN<}OTz^Qw%cl#4%
zy#FQr+1M-<OAZqgO&NyZ=AWF=`%ndsxH1c#lA_@^$8@#eKSpqSal>QkRaJbnmd5r~
zl7?BrW<gb6CXmqNlYs$h_^c)4%=1Yq#_q~J-qB?WKRaGK%?hex=Bu5m2QsL5^>szv
ziOuF<Exjc#DMuachdwtqFHq2FcEqjp9sz21y9UOl)$xZQXVyx%7Ow3+7#<l7kUz=H
z@@SpY)CKQYl^hKWPtcow%xeMB)zfAp92!{imC?Tbs2Zjk)aw^!TEOQQ2Q<B3tD{D7
zgN3@73ie4YN`IfXfR(;`s~ryNnB{n(()<5>cvHDq-`Wxw&auYy-BiO}scPkctn#Qq
ztK0uF+!6xK9>4$8s)|EPE@kDhGDvZYuUtH12@~R~b{ASy(5}JvnWK;ddbr-Bge6+S
zSbf`C|7~S#^Q{wPi50;ulw+)q11+I%?r{wSDdC3~M?S`E6+qs`1HBzamJn6!^wL>E
z5w|g<ZV40M!F>!{He3B$=hVWVs*CmV7^EnemYK?m*FGe;A1Seb%%lX)89zBRjXGBt
zy2yYTSK=(M@3a8F+YEbdvdLl>)m`FN`7$|@M!9l-7Qo}@ixYD}(s(HIO4*#jU$W%Q
zp+WI10EZvBPal1e!2WsVP{HC!^7rFT_enK?iiq|mmtb*hHoLj+`~4xZ22DLrClj!*
zcjoz$v?xxN3eUfB{z~o-&oj!cG=~7e^V}Pk*17YR;eugQH#z%baAo+H8JrOcOKeyZ
zK-<h^F9ykW(xChG!y-j9Fuir;YL^y2dKe9EN-=9C<Lz_33ig=-w@`hJUJ5T3eG7^H
zGSWiY7OZ7@7Mj3IZj&rwVQ&1sBSr9y&0Ere<$H+Ks4>hcmbSMAaUc`#B9&!Z2dSxd
zDt}Si7+9n~QND7q;lS3}`vDg}kck793R5SIAUo;uAkP9bve!L~A!>U`J>i+llRbuT
z+ox)(N0AAgx;S5NfBl^l^qhFyO)~_3*~G-N=NZxLbNpB4nE~?d-OwYaGY!Di=exr>
zBL-|&O|G7I7$FZh7UuWN=!5?o53zm1^f;l?aekm{ob-9?&U)Wn9}?yhN9q*laBkZ*
zk>Kb_a<2Aa&)_RPNcR>0c&u)fynOnWnW4-Sxkr@M-^Wl7su%SeJ<qO?7b*;%*741d
z6i@zZocDEME9XqZlXWht$TA-_5%^0U&;G6OR#6waQ&U+VvMiJ23*Ue^rFoK~8j^Ua
zPzUBNzj1OZSt1SJXP0Q$|0Biw-85a~b>N?1!k@iom&hA${PixZpWnY>CgZw~RFFg4
zo$f7>{vMX+&X2B;@ujz%a;e&&NL-i>Tw5Za{&+LeM5Du3X+M)UuKPtngyyvismtW6
zwS<6&3G{g4-c6B|?KH5~@}Up5T_Hy|?(n=l%zy-=o!R&gD%^ETE;cY<B}Y%(kUZnN
z0nMb<X^v4;XnGgG(zkz&Y<q1g>9@p${6bYr9m4DN(dzrZz3GtYN$S4X$1JGWT{$g&
zkOH<le$SSw(xX_5+0h+m*swOJK-HmA3$*Oa*;ct2@V1G2YGx7#P6%7Z7jtTX{K32_
z1|CMds1jkTdY=mq?b_&bHBb}M4=AU}X>GvcEg$#apyS0bw&bz;b`8i-xi8KZ!i3A4
z>lm`F_;7oS*zI0R4Uo}V!dq{ck-m{Gjx6BEgT)`<C8~o_n_ZTs6DwMtN$ol=DTtT8
zT92k~Q-^Xr&cEC%Z0PLFV?e1C!m>ju<dH!&2#l2YJ>SlOUmnzM-gQg_r(8elET^kM
zx=7@c)^;v@zRdcc_Z~6iJx8~5a<dwI(OLPNyT*e=uqA7e-$s1Gox9*Is0J5D50=|g
z`B2$xDZ=K8B+9*QEqOJs3STAP)uu=DV^e}~x!U}?-({a`Se{XZJzLb&H3kGwlJbt?
zVj+v(4Gh|LoNDkZP^7H>KOt;+baPito*W9f?_P|tR)aBb8-+$L5&RbUrRFZL0v=fH
z?d!=`1Noo3{yW$yiYiC$-F3UFi1%_Y(^Qqzf#I{fz^y8AtWkPqt);Jwk&S~q)t}VC
zM&YJQdxHcP2#y|(8&pAqiU3pVIt}nvE6Tb%DTSjNbrM_i)o^H=qUx)DO(;`W=Vr>2
z!S4aBSEqe7a8cX)g}XHc81%O`cD|Rzc_nk&va%LFa}VPDeUu7<HC|jJ0`kbTqgSZ0
zpMrOpaKHIM8hm!&ygkiZ0dro8{iVF5qE6ej!+e?Apdhho%~Pg`j12G3Y)+(MJj2Cz
zo}Y9;{><I1Vm4)@FfcVnXlSFAR)fG3TRrG8dVI>!eLd$3_MEAEq>TeEFa0Zi=mUOA
ziXJXd#pfKh6R%ixu->9Aq4TOC&<>Rs$absYUG;_eP<0(-XBH}N3Ni-e#yuN{eyXGV
zH!iNHygF!N*KU%%-4xo-Mi^fGqJh$vcDUs{(MH=t4dsuu&Ebq-DCKFMCLVAPpjY8u
z@B7fn!JHXDEwPnzkCGPV?C2zv6llm>oYj172q5-%*+cPzS~$zqORqCSK~K3Z`I`?d
zAf&~0>f#YC<WA0Z2%%_VOKDEnmc5n`{CuI2RZ9yCc53Hm3#*~4XHx6<s3mA`E)p*-
z&_vfhm#VF=l+Zw(_I=#m3JMSDf2eHNz{^|flP!JZQ9@S2Y3QsKB-@7@>({BH>(c$*
zjw~|R2tCisZ&`tM*ny9Sqt#G9#k|6%SPY-myGv<Yvx3vn$G>^9sbZ1KKtW!)03K(j
zm(Dz51tVv3WIK*3W9nx{85WWgM=ywHb5N`x`=|K$>sCcf#0!qE4=|!wUOuyEk0m&5
z)2n$Uq=4p}ry{@qog*`Uw0SWevIGx~mjRx8<&fSW^77h^0dkQ^KK$~k1w<tC{qDXe
zgYD;7##gxS67$Zd9fy-FAbVqIFekedR));o5mD+Vj(^}?(dV=P<zLakIsM|uu)8t2
z^T{MJWE!5uzRpc4-<TQm5fR+Rc0|v4bcSFu;#s7M0QlzjFzu8SLe|95oMiTSg1@3(
zu9YA_20lmpP3A{R=9Fy!(?8-i+hT6-E^~NNrKR(q3NK#3sdx#IMM7u`r$_KHGq_SR
ztM+M`16k=g7+a1m5?Yozmp@!Lg*Zv85^X+Ke3P`pBi><=NaQ!ZEb-O^<d5po*`L{f
zmr7ixid+5>BgMLV*qBVf#_lordeP%Qt3&Beng0=^B25!ptc-#E=xBef*a~SJ`kuBT
zu|U`zOzRIzF#^e`^KnOo7RU#|UkbBi=LtOYV4p&lAw0A2VNWiaAte(H?Ku_Zh?2o?
zqBDwykbgq%uSw8vQsLV$ryKPzad>>r@<i;quibOk&4?Z)4KCb0xz}NqxbyjVLHK8V
za53G_>a@3?TsYm_nVURARB6V@oHW%3!%&a8Ta%wiovmI{rG3+c@G9$V-y%IY7<8>s
z(65~=inf+{>^x1#eRy=}3%4E!Z-{#uQ%jQm>hx1(lT(C=mJ8*1oG#?w$+w%3jv{Mv
zy+`Isr-&05#w8o4b>I`%+`uvCO5)qZN`rdl6u}-YCE0gC2k3{+n51>TCeB;&$v(L<
zMbuq*HS&2_8={6cz>~T6gy+IFy4t2GLg0A){_FnQ5dE)#&q1(<FkwBV5FtKIJe}Dl
z%`r}c{{a91|Njh^XCT#o7{%?qSN7(*uIt|GT3Nrxh-6EMNK~W}g_4m{$*L%2mhh)U
zNoAD$z7ZKEMM8v(h8@}C-}~pqdGVZcKIdBK^ip*HSFCQes8r(SA8gkJ>kjr18XVGy
z^qtij!X`$Vck*b@V`q!*NW`pBVMG7Ml~mvFm_k64+|=qk)<QP1_eh{Zx>0b(z00Fm
znwajP!e0y6uw&!iBuOf?uSMri7LQ{ZVR|7a7#A_2;kIa2Zwh$3DSR($|B3A-e&d-i
zU&5XiD(pRyq6x_@8tLUs6PVQDyYbRbmoe)to!!(1G7P_O+Izxg3j51v%74~r71KAJ
zdSt()0Sd1VN^6zRV4YV^Km4Pxj>W{XW#gtAFt>KXO;mag>wB_JSR`y>7W3n>mlH{F
zU+0DB&agii52IUZ9i0Kf-xpXs>Q#rYtM~ug_hTL#?v;Fe<s>8Yzbi<vr>KKP#J)+%
z@W0rE)py#&Cnj+JTYfJgi3qocu<}zXOW5Un7J7>t3rHG@XJ4OIgE1zNyU8od7=Q4M
zTu&A@kl#!Q`_EksbnzeT?-p0Frr5*Rb^6&sDZd9~TM01kTDoIYVFT;B%zI?#2q(Od
zKhYmxPJrQ}eJ$V4ZDAEJOXPmY@W6tYTPS~{D#-UqI|_3%!ri*2)6LiUpj`P?|0@So
zc-+P<V;#l>6rSd?xI6*Su56jL8dU*lp2wV(j4a^k;9x8uDFkaR1JY08RN#IK!?)U}
ztf2e%-P+$OVJPxoG0~x@0INu=3BxsZXmvT&v@=>1wBt{2Isa6K)9w%L{BCoC4?{_U
z!SQWy-X^>EOSv-S&vT5kf8>T2r0rfjNfMw|BG59Gs0@K$2r1UU2l@Ah>X&<^V01aZ
zRy{%)&bjma=?xVC8(04CB3`m!>Fj^~UW_u#F1aPF{1k*QLq7aBlH`G=sjjhbM;Rt`
z@?^fn2*YOX)l=H6ilF7wuyW{|GH6AgYyPY+3h!_IPEpKJf?pv~d#6lQAXhx<7MH{}
zpw`8SggdIh>TCT!rXN(`x|n{xuYv@)&8kKODG(qu{`tevWL0=CP{!=KTMDLi{?k$6
zC4$PuoO<aC1V~{JeOUci1}4U$8fXF}5Vd;!a->oX@)L9o45j2@<CFIuOoa^YUH%Hy
zbamL-W<rxcr2sbqtGzNTDB!OvK(k}ifQ%}x9MNxzV0k`MujdIBx;<pi@~CNor*`M>
zyuHfs(nh4v>je#3>n8jjyHP<>WGj*5y9$(V-`_)jss%z4r;m8F)8Kq&>no{~1UTTS
zUpSpghqER%y@UulWOrJ+urL$hjFjDfsk^kn&zhAw;i>}>KSb=w$?EXmk-f}39onF#
zJ63SaPY?WiJ~rAgYrtUx6C#hO4s_@I?yS4D9o8O7S!L`aLzLqMdkU`(5P6>Ke;hT0
z4x1#JMUo~6KdBRodZZ1{OD~3;FgAhObNDpn0tI*@BX+I-q5tz|+KXeB0DFd7vycDt
z{l$RYk(zy4a98}1z-4b!h&;*h*T|L%)5pgAmXFY&JBak_v!@w|oM`!Y(U}SlI$6qZ
zcu}DH$l4{MwmAs)ZN8QvQK9ip&CV-fB=|fA9YKTU5YOn*!B$Fvk)U@se_0WLBS3L2
z+uZ^l_IUX;m1x4jE$rL~vl6hx_iQ8Fv4Dk}?y9{WWM~$Cl4DvX1CA+^A&XBeU`HaO
z)R(s;2$Ht#`|@5C%s33ccV$=r@t1erxh*2><ETqs+Q|#DpF*~!?X`g7m~-c^38=ws
z8IF%qj~Kx0lVBjrx;X^B3jFziQx$F<7<6i={(*IR`|`_PF^At?>C2~<mB1&XQn<I`
z3x4GG?qEGua|m_nahU(90IDscS!G%a_@IuEYfgk2j3#as`L@b|*{inpUp8BKaU~(&
z{kJI?za-b_{FZ`>u8Tf{9n2`fZQr7<rzzMfcC<+wi-Wm$IN#()Hne0jt~AsR5En6~
zE!-voQsL)z<qdKmm79kyaa#e@^AT-6W(b1Z(H(7jHMr2k%cxxe2^fsH^@&tC@&em`
zNj5E`T<E6DWO@2^6EIp@QemF|ms3B^9`&VgBe%&K`}zW7m>tXHo)uw+x<ujn;~LyZ
z@AU_<+x13Zo5#>r@3Voi-^mV$T;xIyhTo5cPa49*@ZztMk$*A9uaP&|3b@dwqsVNY
zydm65KbYy%K8b}K_4rTSoC`@W>~^vDHh^F4mlNlehOl!=g9fgnoQO$2UiMYtcBros
zR5CJc!0cAeU7EYjiEbsFYA~GFhbV;tbKJHOHyU=R{^Q7rUZsX=ldbhZ+VJHZv8NyB
z=OD80SLa0TtqMV0MS74mE@SR`XB^koB;Ko5;6yRaG`cUR9yE8d$**uv<E5ioik=3X
z$Z5w^)0dOFprB5>931!ue;AwS-yF_~UZOc&h3`5rQ7c~Ho%9!X>2Q7bqlXiHa(tW0
z>ZSvMcDfAl;mi1^{pByW`*NY5DHG<NAGLvz?Cq1QzlPs%jB;ZX;YJE2&b4e#+OTkd
z`LM^p2445s_vN7(ZX|v}_sGg;Iv78r`Zen@AQANqwdB7%C@Y0cgyutsl`GcA^P?D%
zNx3Gil)#5{|GSl2HKPSm9LfdXUo)X{T0xa;JU@z>{3Kp*Q42)xu6!BhW<ePlyNsSC
z3ZO4GJ50sov|y~1!>iJp6~%IYGLsJ!M8@4{mnlvI=2t4#SRET`<LZfS@fAW(1-Ll;
z4$<H^{n~3yO%Ak*kr+^zFp7Hq@o=l)zk8&`AY8$T_B*%*lL|#pMnwqL^M(p9Ix0K8
z?6}c$hT;gz8BxUaj26y#jtV2imX3kUyojaB@speTHsrF#6!;OS;F1{U75jw`wXJOh
z-X9W2BRc92Cb_7fGovsVcvt{AU@V5=36jXg*XR|Y_8&iJNb*{q5=58mJ6FH&mPVf)
zQ{LExQ(!R}tNnaK2<bo8+8h8`RMgON!@-gQ2?L5)a*HssSnpA|s3woJPGnt;)TBVY
z{nt<RqN2#IX#CqwGX+FaaS}d3qrl|WfZ5{+F;sQ^>+$&Gim2^m<S7Yf3dER~in=at
zLo312wfPT}kZ+PHN9~P&c~m<5>P)f(%Bae9J@Z!?9exr$GqyqjHR^Mxb4F6Acs%f}
zv4bj-Sy6qjZ9#>6evyM-Y%-`ew|;H!GXheg>n|1Fqr#S^=7*49vPkbu@`RxR5yh!v
zRQqi-p!hbwr=FBY7tZhLr>3f-Zy)|-YZlX>Y{<j=^jQTobCYe>c$0)A-Y4cu?AC(n
z(aXZ)Ns7qzeAj-a17y^mUlDd)nhu%Lt3UM%m5|-Aa`uCAO>}ofci=jUHptqXGdqiv
zQRSg&gT?O@^tK7Md2;JOIdb)#?^i*AN@zkaoQkqCwY+FlUHGJard|23Dtdn>>x1_Y
z73r?DEQ*HcfkWGi#8zfClzpcmH;YI^H)EutueIt!6~j}FStcTCoO+<qVM9YZbf#0H
z^$Y-&8<~ku64C6;wmq4qG!#m0pXGdF2o-Tbf)Ul~=z?W=*atQmVz(U;sn;}yqeX2N
z_6JDFDLw6`SSA&{2`7&Z7n#7XW7Q3YLnIXP%1W(dmV(TZbX<?H1L&QSH+n(QKv8T`
zmznJ~Q76l-fr&BzZ{w`^3pN@kcBMl9h>He#X;C&mVQLDFezycBs2YgVM^a!wNF9kq
z<&s2kQy6D&Jg+`TLO-uq-KFIa(Bb!CbY(>|s5L%R8|Fqriy13l(pgo|%{ILN<s)XW
z6ga@JkfV;;Y{W;04=SQLlZwJCH_Tv0Q_(B&84>llQ9E06<q+}1(KpihX3%)3HSkiQ
z8oH(ELH+qq5=~C@<aXUMgOjVz+ciQ7C?{eutwvA`m7BZ$ybx*z&UUuH>`1C8b>=`-
z-KZdX?dM>2$;1p;lE%|pKPsblJ}x?;2YHZt4z}&&vMKCx2sYI{p@d@g9+IfoVny1$
zV)~!{GX)oN)l@u}BD!$vP)S2311b%f>7KAQ1rKemfsqIDD3+YVnrgp{*DW>2<^2HA
zQcJI1E|f(99ZwFtBhBIaO5^VCI}fmO?)C#-L22}4w_DVN;Saq2azVF<1i<swDai|W
zB#_y+QxxV8132fet8Cdm7@S#3w`OtPhKBb4IUO|h5ijjM&gJ;8cZTf8m5MY)QO|Rx
zvxS5=xb#_#ys>&?_@cbsNK984{ioD?Ro1c+f2Egr@6?JBs2V8Ae+>{s-k)oB-8XxL
z_n&!f^-$XgbQ?ctN~Z85qb4zi1J&jD*zErFxllvsY!L9+mcxU-HQt$fNUy<ly9jb&
zFAPAU={|$!8YgN=^*VXwVgv4@kIXSv0|;wK_3bQTN9;cm-YuVfhi6QQSeowH4wUCV
z3;t%ZqPsH(Zfr$&;-x1_CcR4ZfxR-zdFcZ)Qo49O$k(YCKcxQGIhaKs6t8sUuA4I<
zE%S~2(W!&@>E1)v9RKmy@dU3#qd5jtq?I=BBshZm<u$$RZqkL$2h(iZi?;C7AJ2s{
zMU3O;d+v7iYwE({i8B@nts6Mkk6Lz_)nB;o@$NP(TL)4tzYcm@t>apkcC9g|P2tsR
zts+DJ{M&!)S(=;Z8r~<7ba8jyEFR|eec)c~KTdq`xcxhM6+hLoYl!3GAG~epx%BZB
zI+QJT_o*eV;QRSD&Dp~ja4R%@nH)}s&~}R`NwpQcwsMSb`phDpT6;0!)8fCJ@$U*e
z%CLf;e9iQ7<=Qe%w>I155UB-x(}Gzk0xP(n-P5V5x>X#*!e3@FYeDethZ+y}tl$e<
z)upUl8~B|ui?@%j(ZJhovG(r!6}-7@u<d8q7Or`z@K%Z(4g9@5&dr6d;?A(u|B0Cq
zZMelO={=>wsg{NOR>w8`{hRocZoW(?>2uIn)h;TyhK=aYd#vLz9|EI~_c9|~Rqmwz
zI|}$Mo%z(3zJYt#8kW$Hv7$@7<1Bx<DBw0^JGYZ*3;*56GqWMXjy4v)s|`76f_aSR
z{Ut{Rl$L8a;`WCFjlJc%W_gbc+_9rE0fvl7ZSMyO_9-sJao2r0VMPN>y2Y<Inlhnd
zZ<z&ng?Q1>$;~!pPYsBP(^ben#EecX93$U9#E(`?8g@TwBEf;@p#h)ovmlKxZrQ{|
z0VHw4<oTcx38MRsRz~o$A@8!Ax(D_MAr8@cJhM(6Ko+bf(%DgJNbZyAPr~R{V^q<E
ztvaM+$scO6;6#CEg;hO5MA4)3O)n*X5h3oto@1lZ+{kNN>m5D%HuT&6pwYvdMEI<d
ztKg=<i(X2|zLb=bK>N;dX$CqGVe|T6;ekE;sCLj(`4UMAIrs>go>3qI&+dF)y>9|&
zN2-}``(YUr_Gb9<9(E!~__Ckf(hx%JUg9pyALP*IdtG@`tV9sXuh)5>A&lnFW)ux*
zDIh!3kIe=0L@@p1@8YH;inJ|1+RmmcqAJshDlbnWWZZteL$_TF)%?ukdM==hYH~hL
zC%quT^}Eh7ZCT>T`{Y2!`Fs^5o)u+5HdhC`U?E+_L`k%|5%Bw?H389bi4Co*>cDei
zuW)mYG~#e_&|zmGqKG2@CI25JQ2ze#b<QVQbffvjZN>NM=<DXsI$wS=C>#8qwn>*q
zOh*n|hTqjdwxsz=qX<n9%=dX__E7;HUsPpuJEe(g4FrA^h*Ci<KTO6;N(qex`<x7v
zqoODmyPn&kG+5{pn;H&QMtSX2pEs*i6v31Jw9G^cHkKK>dD>Nww*pVI`5PK~>MlSM
zPNTz*?KXQS$pj=Nmp!@jlol#~w97h@Uk7}h7r`b`4aMzAH?i5&LWlj&?#X+m3uTi`
z*=1jeD7Dyr!rqgPxG@p7wkUmg99i}Ihy)2GJ884tjHM%YGx4-g9|NEcYZi`g*FX)j
zr>!Fo(UG)i-hJ6UM(|MC+JKQxM$O|dKVN00qvqR$z-T)YaE|ONxU)(|a*2=pQrxsq
zlwn{hiwwZVF0+eX@tUYXUc}kjmxknT8!T+Hm_ls(QP;g6HIepxw|)YVim>}a&7R$+
zux2OaI{rx$3BHTpPC7<Lrbi1m?j)E&%^!VP^#n~+-_8{Ff~=0t>?_Y45;uoZ8WZ*O
z0vV;jg{$AHRFU8k=gs}G=8!Ei;ou=oM!fY$6*9?6=wX=ksrPl}a184Zaa|*!>)JXl
zfd}N!!a)TN%g^TEV6u4Itw<g9XasM6@=6@_b0!q7G?~M-ZAD*Km59jSp0j1}ju4vZ
zbKjAdVGe82cO71yBcMkdr&9BFaiR0K=Pz_Qm_r8B8$OLj6%@l!uTj;=fV2z6_J#g2
zgT8Awz3sM?P_^*#_s1b~I5y^|BzxHmgo^oSJo<|0Y<-1eP;&=P8UDT4#cu{j9iOJn
zoR&w6q3Xk5a(b~6O8xr#8>Zm-TCsaLNd|@3d|ehWo5Hdi%wv2+O<|u%6M4p75>?rI
zbwsx<V6>8i^Zd5~j@}Yb9Dr@;Zo-B5I{g)Ftu=|iKoTH`w6Om9un0O*m%!hlw~igh
zJkwImFpw;Dil}N3L=DwH|Lzvt#CpXKdmeQ&0pIR{u$gi`<d<~7wvBZQi|P>!O$;@L
zaMF|!zcm+%xKMTEuk99AOU`H~WEnxh?ru>JTQ>AGi?LuzbPH>&iECABHiQom<(-Ak
znNYWd;OV;fP3#o^;$>{p0FIi>bf|4?;@rm(i+246X5DV;!DM6r+rADWNm#+-o=!zI
ze_O|%6tnZK$8LwN>za*{Dhqh>ltOIU+#1I4H7>UDoj!DAmwLU~K7;!|ndc;Mtzn;n
z6XjmZ>H}j;T5KWp2QG5xx{1H`Dz;1Y`pIYEdf@*pUM@~>2>-28^hq~j1>^E07t_0R
zA=yzT;B9Ott|XWoD>=A~-Q)53GO4QzmSsy!w~`RvN!pW+2QFhD7Kv9g?&!eJN$$N5
z{$yi9-#$kK$t`1%TwUYKTskl*mLA}9x)Bo|Q;!bZTEa%u0x$MNYC}@=rsAvKPuTDO
zPGF`y%UG9n+!f9_I^6J^-O+;eVV)c1Ts&6G*yeh2-oZdRTz*rzFZRk1cKpdA{8zq=
zMG-`Fn}2A*X@bLv`pOY3t4X%2(|QF<h{$@o?T8jo9TWIHYsRrkQ>n{A!mC)t6Q84o
z(=?DvYv2Dm_ZN0<t0&?N-x{XhyC+iaG!3p2v$i~gC$R|m_5gjOb?i!YXuvaO8pOMG
z)jlwq!9MWL-L<*1fraRGJe|Hl1=2m+FVEQKu&jQDn&-M(*j{&0p0@-ltbYraJrMo}
z`z&EHwHU_$n46PqSPTWYe?9i2|Cz_U4Wk6Y5*Z=ugx-N$&op6jPto8&%wH@>JO0bf
zawh0e{GP(_hYb6tB2w4om#{sr1HO4LGeddBpG)n!WFWZ@l&B0WWB29WPN^Ma1q1md
z5;0B#<|h0!R;pI9HH%|)nTu?YB3qVe{e=X_?M5pomFpOLbhuM#1qUdlmwkw&lYmuJ
z?BxCaO-%gpSan4<7lfVBoKwh9huGR`f?);&2v^|(?$3E3tg20+npGV%8;OkJUm0QF
zNVU~HW_}1)Iwjj1MTA3__FU>TV1|-cx5UC51%M~YugrW?4ekZ`XW7=UKqe)ed66Il
z0Tt%V!-;ADBJ6S;9&DgFoaX-Vp)h1!<S=@tqy{7Ae6e2g9PqyPV06iDQP7xr!s6LV
zfIg|m#h>}PAnkFlrIF$`2$>H`A;c1(CD);fsKEo~JF9bSB_-hMghz*z6#+{9l0KM3
z@WK7?u2Y#NQqZyfT{%X903tzemaj$&z-yTk$LmsMpbM=pZVD2BVb?96`947i)FWNt
z;Fbs38%HhQN)h0^hFiygt1wi4(afwqtN<e`WtQ<~1ek58%y*s_0e^;^z)Ss#P@MXb
z`(h#i?B@;N=v0V7;L-u}xMRw&4N@}mmkCf%b25mUE)IM`vQLG?RN?Ik`{?mBH3+rT
zX}y{&38s;o#syypFqI-|C*n<nW~DAxk$2Ld7AHavd_;sEz2H?hUv)_Cb-K|YF9)4}
zr%&+RB7s==U$$dKBygiX@^pAF58OpTziqCNVYrsTriw;}up(9Chf<1QfH^RxM^PXv
zwje!}n*w~q-E9#ON`RdbSRMGse;Lyb$|AW`_@vWAsvS{=?C?wUzFZpAiwR_$9Hv43
zx4AY`S5-(a$vE@+looI`+GS8&=x`CXcw^fLAgb5H`;tTlKF@QPe=TT(?`+M+X(J*`
zK6>IZ@`4V@`u9FhAYEvjc`@)bPaS?z1d97bwPDqqEO)m;A0EULeEg?Lz;WfEb1_XD
z?u@k@lYVUg-**Hbt(7FhbNjL*FaGW7_N6pOwjm>E7pyq#EU5`C{R-0-SLk3XuFloA
zWdb8H{%$kFn(!iKzgJ+57K8?k{HGlcptf;T($${=i^m2p8E4Ue$fa`4E6Nm{DbKHx
z^C{3#<K3gLMTP6k$^=nYGl*=6|Jt2Qfv&o;yR6b=;H>?<Y{g>^l64^gf+`fa=j4kI
z{`>o3J$m`VzaETCFVL_*rU}XipIoXhQ-P5ekLDVe&EbxH`n7xhWXN!CI(MU60q7qT
zJ8el8P%W9kvqw$?X4xap4d_e5hwBHjI<+idNmcF+>5e*FkjZqIG!lh!)(6c!!WLj?
zFcflTRt-vOJPfTq@WMXhT6dQ&b0{|XkV;Y_K)b{n9iCDqxO!#OW#+6o^vdTbE|{qR
zE2H<<b>}}A_cie>M?Q0?b1~At>Zt?^as1(>u5Yk=yK6RX-ZX>tr{A7ho>l<uX`fe*
z_l@G|$J}163YkG+v3Opfu^eFc2exS{F5vqU$k%F9OyQbBVS>#QDVUDHZzn%k!;g!_
z_X%>CLQwjbgS%YB;dF8@)j5>`5#L`7w7LlJJJ%=Bkt_-#@d1_Np-f06Z|CwTGeDPB
z_}&;0g5PE*@!%3>^cLr#mGNWH75^~SRE{64OG<d0-C2;Iy@airf(Z;Cn&IE6!v)O3
zW?f(IvY_1lkgu1Gj3K0tO@R@y!ZA7D9-UkkL{9E|R(!w+qz7qaofnKi`ta_4r#}mt
zdX`{AxNZpY%cAa%2J4u3_v05$LM-S-FGEtyTLaivGA?CS{}($-E6Ukl#*91*H)-PR
z2Jm&$>8{7p40fZ~?oEw3Gdk8S(c*2t9ex$J1`9tN!^%Ex&@2X-(8R>DY-5f-WVNq%
z99iqZuHIdLYaGvnDl(TwTIcjYy(U)lkp62d*NRM2`nPX%!?Nyg+UmjPJ7zI|>1zDb
z3r{vaK_=wt6`-|QrVAyGPOqxfJ8`SE)nBZujL3Gu@k^M9E*y5^^(3$l;@OOkdn`5?
z(e6Sq54l(!xZJ$j9Qkt;mpq)S6fDPtL`n{3qFHV5pdKy{=>LWD&zw(v>&=9$OhR_3
zAJzt*rC;i;VbgeI;IN?WD<;HJr1DaChz<>B)8z{f&f)x-G7f`=%&0WFMzqD74u9x5
zzvn~e@s8@hR$gD35pDTJ%)4PN;65n>S)qUN?@Su=<vA>f-&Gf<|Lfo6*W7sJ(Is5J
z=uYcsEGr6CToznepn=n{-b(L*72J)mzDP-6Lq5(EI<l8&K-=*-SK50GZ`yahf}x5X
z9l7xmFO{Hy-MdJ#uKxzUtaQ(fg@+T>((sbX3M!cJvVTpB+rt0aB%UBAa-sTNLF#Uf
zRPc*=s`jj(0mb-)&sWiTP&S`wjQ<z~9-H;29%N@iH3w5alDPShfX7wkH97_SZ>sM7
zYQc<V-)wX|;uJs)&myq#WKEEd2r3fKU_rA(miH?Og6LI8_n|klWH^>ROHg8ALp;~g
zhzAY`A#ImyF)lu2@Ue1P;7w*nCtuqKT&NaCS`e)l)2{)Q`*b)qv^bI9J)2-oiYO9|
zzVG0ESOcc^HH)aNbD{2B2EXMdF*Lc>^@_4Zf-@^R#$SK)pvlow9(yl{qmYgCr`PV2
zfW_CsER2aCnfo0fQT!y4x8>QOT?a`Zl>5MtRv>_kFBDAr9F;}|B=(96+9Y_!N9o}l
z5JZ_`Q*(E6WRZ1}Ou=(0667w%3!kA1qo)?1d*!0!QJk%N@*8Oqc=YLAlfNs1w(s73
zIssQe`^SpgHw;M7ec$DGqPiHmcic1MrnnNSbha5&I!l7X*_ZkGyS5?Om06y*mz7c5
zh}LBAw}1LC{F$%KkwC&mwyP@~st7+`eE#M!4H%o<He`HB3T>`G;#A8epiRRC;sYWX
zUa2aCK1z{6bJg5|+CW6lFKA@QNNGZz%2t2yb2+p{dySP&siV1uALmmnDRBLJXJ+Jv
zJd%k|?7Q@DZ?2f-C)c}E;mOF-@dmOYD!&pRG-9WTN+OBU=~NmRG+AAUJfejBbk{|{
zPg9VbLO{xhh8FDEFCtY{ri@xBz7OFg6*2K%_L6j<!_{Ghn`w(Gh*faLd+$*iYNVMb
z+_<d`+U=P=QWybEkWZI?+@hh5CPNl2R$XXqq~}<jS3~~;009603|DzH)eR7}@7bPx
z_pHzUo@ZZvV=GC@S`qb0iAqRCsf1EQQAs2!QnEywwKqhvCrd(E5?LyRkmU34oH;Z1
z%*>g4FWYgs|I~wN$ZglNbNQMPl)RN$T6#votmUj<6;EjB5)^Z}+R6mxi;o*nx;2oE
zh1V;fb}j#_&v+-R8DtB4nJDyVV*0Q3TX$WjVRrM=8wwrfz;|H3@#kVKeAcw{;EWm#
z<1g?yZOOC*qc>{gr#rN<EJSp1e>fH8_O-n*)CQ;u{J~Sytc{c`ifZ8nJrtc!ww(G4
zFc&qTuzyt>^)?3hGF9u~Qba5N<L6euI27?DVMZJ6TZVLsIJ7WOGFokmn>Fxnwy@fe
zxt1UCF3E?Jg6<KE@7X)7;nQ<+P6CHE>fC60y3ntJr^lIJ&QNT?FqqwfOHT`ns1L{w
z?vk-9v)jkq#|DnxI$QolUK2yDZ~6z#$l>nps~1U!Z9vBH=)aAhDEQZ|UORY70(;BZ
zU%KqFfrmjsTxDVE*tbzab;z59H{YFEN7A=}!QI=OeZQ&VC8yfTO|SXz&e@k%%0H}O
zdrhXsITsb|3$;~M7iGhQzvsp;rCCGbu;h&og-Tdgzy3pm?-GM0_UJnWx;6ZHC~;7O
zi;N+6ud34=CK)0>Ow$ctTfzD#8MXWY3V4OPn7h)TiLqfsP~en{6==NQQIk|Ci`9{7
zDl4rW#87G9*6Dr#a(Zk*Xn_<u`k!cMPah>}2Hm5Z{Qwd#llWG;#nEreU)#4*-w4{1
z8NIlV1jxFzr*i9xqK_KWnYrUXi7TeF;Xmgsp}6;JVPJ(Y%0}NBzvDPdeE2<)?;v6c
zzMY<amJx!;SWvhYVLL}OP=2%cn^?fvpSOh1_3&W;vhfhfbHuSlo6!4v&4JnW<fxq-
zH_pC~x7_7DN0=lGyqCCX2FlxP(oWa2qn{aTjbqDN{T=J|(mPGTDdNJZw%06pzx%1C
z^zttv@5`>laS>B+=6ruxQicgv(^S+=n12zSy#cI6J54}2zv{@7Q_Bp2cV$faKW7N)
zmFA{v`Np7P^qaMI>jFbT^W~$#(jP>1?EFice?|~odgzfz&Mag6;+B`S7rzm4_O(X-
z+l=5_@S}e(17{f5nuLsOk53U&8{cr3J~M=bF`-{=dQ*(tGg<>oaT7#Sw%(>s5{6KC
z!k_cK^%z6_z@2m7aGaQ0|Hip6$^d5Vy_u)xhZ!NUm#!*lj1fsJu@>Xgbcow7VI_ZX
zfI)egTYRa0lsI`I+TPQf4s+ec+gFCW8SyJG0z$5RCcZzPX720IhsKPwJ(gN;8TXbs
zJie!n5Xqw*@s<wyp#Af0N5_uW41VcjhORBcMEiuw$e!0UXn3B`LQ}3}$Qg;9Jgh%V
ztoL(SPgzfcwu3*m?6A#aNc#9mw>J$D)^E-f1vgTmtA9Bv-}WqVz|A6j^2!i#xkt%M
zZYvdzq^hmd3KbF!RwB8ZVuuLY=B1MoeR|-l@pnMuRXO1j_E!DTy&)p}zmc!&{q^8g
z_<w=GQ%guc9bRGoK19@Xs`jY-&;{oaA7RFa*Tm(Da*rb4VS;~-q~0c~3yaC_QmOl!
z32Bc*!P}Wf2-zrm@Uhl`p5ubW(=F|UsPpgz<)#rL*IV{=ahNvz`p~~OeBC=@^U?i7
z_p3h>Y3`dMZWm~Q^k+8zbXpg&bh9$<`@ksC@Bl+VyuUP4gKJU~=BYa!V|;puy<(Q>
z36wEHDb2gKMN1QQR3-hl`(`g;dz2~QdhR$8IrQ7LEldN<s_&ZdPW2Ja22N}xt`o#o
zKThIj4F%vgkC(RBM`F)s${7ixDdOVhXFf6_6u9c&{rSJ2gG3PTCX;)v--yJTUVD=R
z>hR1daw6YznBa)t9^78|gJ=}7%%V4_!P0?;myWz2A<TC)=IvAYNw75w9{Z=J2IRRN
z(TYb#39eJwJ$7lohz+)TJL3~oq0ORKhlMsqTs2bO@|iYAI7|#VzFSZMw!iZ24<x=4
zyeV}|d`t6$eOr0syL~EPB>C{|ismHYwIhL_{l@}v*tIhFN}n<`C0Sf`3YjL_iN89j
zl7EQDq{?P7S7mTC5oLIP|4w8Dn9GZv{!7d*tZJTks{~JbqBJVHW{B|%CFD@@DpBwv
z)BA&q5^zfywv@a5BCcE-ufEH{44gc56}$S#5ahIZe)i8SvFvzt;QL(`Fuk1kWP?8$
z=&!FiCpFI#rEIZ|YJqH!aDw~u$0bFWB)<)oXkH*9$z?*gn*&@xx;-{U5t3Oy+)n+s
zMEDy^KD(X31^S|X$I7XS@FFIFKk>j{!gsKXUvY*90tQOEC3+R$l6{gguf!_RCl~sK
zd~F>JR&Bn%@4N!cDZg~^VrPab=fMUhLJ*!Mo)*1sp#ZZc-QNOpSwJJp-^{5`2tJI9
zQ*W=xL%OzbkybDpkQ)}m9%PXqc+4+@<Ayvi%WYTu8NdO$>ZR8fQbZxj(vV}+K_1SN
zMTUHDa6upY$fQe|IOu#fj5#4I4|_~}51d=!f%UU)Y%?S&@cAApxImJJ%%ED?$9L92
zeLzMASH28H-62J%)8%2SsyEiy3c^<VK&Pjt<zaEG`oY9`dH8kVd(eT8LSQUdPx|1X
z2nU-T$7Z+{K<P|Kc55aH?5Jhe`IpFWC262a{D=ZXi40MDFNgx4ZL>6Mvoh>vpPi?&
zD}vgPYpUxVao9(t9{P={pfEZbk=&pNBS~W$pHE1_N1I?*u0C~mFgrbzRZE7`J9{oo
z?U8}R;`<d%Bu!u(Bbk0&Rf5FSkK4I~<bm*O9IFh_hO-$-8|yEs0P&Oc%h5#zSm-+f
z`CYmoEcHV?>3|x9_4=ldMv;LmJD|#@LIt~@YVpO7DUkGHr&61|GVm&x6lHnSfJs!a
zLeWnP-l;`CtnW~P_O3sUiShc7ze>x4%eqkXe(zv*vKmaSBx#pt(IMozv8c)|Dv)C4
zHfn6AfUV~eTV9d@>^y(}pZQ~bc&AQ{9h24sPkPYMr}c&q^5o9+43i;v=QOykzSV*c
zMoCHC&kdpd+2Pvk^Tu%cL-6y!039gG7fkkRHH5d9_eQDF&49H1(XKt+x=?DCv7zat
zA#A+g;u!tg0v?ug{-+SF2bxZMJ(<c3fcPBvHOCXcv)=kb&o4blr#0MSJ3|L+xz<AI
zd@HE!rR}(4Kn0%hIo9|d8gzy}&>HBohC{;gjb*k}cxp0J8`G)>C+V();-C$rgl&<R
zl%;}L=i9rUzqMe)C6($gk8Ht+CtGXtOFg*GZI!LEqy{HVwgo$x+Cgf>73mQTJz#(H
z%1ma243}~;{|mfe2Q7xmLAq~sfPHGyt3My4fqL?RtK3aH2>VFtyz@s3<ThoPLYgoz
z{*%mfJYokiXQuAm8PkB#RLxM^WHxw4iQjoj!47766(>6Gt3$TnO5L01Ux}G-;U@pB
z;n`=$Tzq7+D#Y8#j*0}1Gwf3d<uh`&Fg@7z!emMbT5k;a32Uq}c;?ExEMsgSUB|^c
zI!O^+zA~<s>T;s2=C4GbVQVnI`snS%IXQ^PRE@ba#fNOKKV&voTEkN0W$O{L6ucI#
zo2OqCL_N8G%6VB<aK*;=^bsa8U>fHJ-UT6isF@Q`#9;;er+3?*Qx%3s&f~4i!@_u`
zFs94*D1gdGDRqLj4*GV}Qb+ca@J)~Tk-lC6)=x6Hc9wEL$hJzd*?khqtP?)*^1UUT
z0^#PMCMFQ7r#8wwCZX{7pl;8Y1vs>hQvZ$rCRpck6B5!$XnxFTRf^pLVun)Aolcu1
zb{q&R`E`hd{!#zZJg94W7}c-rE`3Loto-3AG$SE~{|#{nG=s-Q5&oxx-Z1oDnw!P*
zknrO1600{wrod)uw_aoZGh@_l*vWnke-)|jC1b?|zNPpXI#XvDQ-`D%SL%duP#}!g
z&SOoV7bXzAjq{8jUQ9J%<-%ydtsk87!Wd4KDF^nv|HHWSVOcV)Mi>iq%r<c<8iOjk
zw(Ql=RmL0ow!wd&gt3LsCr%~B2*gzHKHS^Gj8ex%RnCz}cncR#B=M}pZNwfpx3Hp4
zjRzOsZW6lBm{+e}G=yYH(!GQC*ikbmU37Cj3AGM3+HDmygt)^V4gPyL@%Sm_v^E<N
z+^WdU8kA`OlT)%QP9$y|XBV8B?-#+W$eATCssRXXu6uE{oCkAUe-wx$iJ}3E|4+RZ
zI<Sp!cS!8y!$RJU*bq-K9O7xaBNjx5<ZWXKmQ4J3+h2Cs(MlYZ)9t)AiqqlFxj^>s
z`2tw`?oiE$wFHi5zY&snqYn)iK36$E7Q`~@y*vK9B+<3*QRQfqK5X0c{a|H^5Ds`2
zYqQ;uLX*)G)5_NRkagTxF8TD@-B6lzS|+41XyS8<FP}aPulFB}K1#w*$DdY}Zj;5J
z+Nw(PAsR?H?KTvN5J48EQ{5+q<d9>r$zcCW8i;?pKbjsdimK)uO7E-`u<7FAiQ+sO
zaQ167nmrQ33{zJx4FyHq@FKoo?iLLsho%a@^o!#k9>3kUdC1r<)xTLQiv~w@DmpjH
zO5)YN{fXvGN*GRP$L=boLCMoTv3G~1Fwam;q-<3QcV@JE-*2PA824i8wN7c2DBbJq
z!Ks1<8R^yJe>B+Uc7Dv(UKUS0lH1ZRqKbYsH2+0Qeb~=6HBD}n!#}3lM~|tfVfI%6
z3F{Pn(9w4JaYRo6M*=SmJvLCscNOFMtV{Zk7t6cS%cO|=?QHh$vZ7$xzcUX+!{~rM
zUwFfN6wz=lqdVP31La}{$4G1jFic~!&nqTlb^g!iHHMm4B^ahdJT!ocPXm>%@k$u+
zY3Hx=B3js#we-Vxk0D%X(eV1aM;Tko-;jlRw6I}PrS>`12;`ql2bY+r;1Pa-BJD73
zbZcNYt`Rnd%*Je1DK1q!X;hbcb6gu8JJcF2*-W70F#oftW>r*pBjT}}qJy7JFINk)
zn!>xMzqd`CQNytC6@N#49mI_iCyaT`z_dGRP*+hMIr(?g`!VU@De)Yy&*J8AL#24H
z-XnF?Obm_=Ow>jX+MHv&k_EiqQ`Y}ml7d^TY;og<HT-0qEvo94pe4eWKN~<ndYEnP
zp)Z=ayy4XDaQU@Ab4$UInnuCm!tKPwGYx#w6f|4R3{bz15ITRCf+f=z-ugRJP(}ZC
zm$W}Xr*h{|RU8H1SMQJ*MKvr$O8SlJHNSj2!t?P43RbZHZBi9bMIXZ}D-Nty5PUiF
zo7-n~RM@=aD{Zfg+PdS%IgPBq#^r<m<DKf*V9U?TA5O+?%x5;bZnuI5&u1Spo~xnv
z^UBi``3jiNy7Q->zZFRFE!l6LSH*`t^|qq#Wifka$2GydR<N4tccNNG6+a0cjz4-{
z3ftE^zsO(nn-Sh(=ewvX_}ni$>S?Gro)NfRK1#I$zhh5WPnjs=^(%>qC+>^jAn#;-
z9-9@U6<VB1F;+t2^i;<Ibz%JTW-s+u3&07|)~`?W$*81HyUej5fc}a;rWKa}LdpNQ
z6m%6a<8)-JDZz)n>9XbT?Eprztxnz2QNWIbg%ty3ZtSgUwVj+Lp!va!dRw3zYUc&k
z31)KOjmm*kes==+Z8UG}z9fTTi4;oMZ8lVvB3-{;VhM%nF4?B9r7*kWlHnt1R&?Dz
zE1$r-=4V?o&tyqUV)BS{Mhqtlo(l<okm_dv>bYl|Mv}zQd0kEHvKur0Dw5vB`O+Mk
z7o;0w6~%CSl)*Q~0uzcYZL%DeFo(Z<y5i1VBIso77=3n>2{*EC)t@?Q2IsjR#h=O}
z;r7+dXVrw5@mu2i`igE-(7Cw$wIN*?F}-YgJd7Ey)MZC9j7=f0f8*igLLs#O?B?#s
z#ez+ro>CmMOn}BLbYtO@Ahx7cyi==Z!K$|p3vP3pKt`#2`-HY2W{quIjJ?l_ck1aT
zW5<m_@W)xhaGC(J?OAsy@c|o#ura&aPa1(WJt*)H!H-o*Hp++Jup<*EqkeR^5d>bl
z-(VND4!wWOH3Aza-oAe>ueaY2inkBm$p6KMO>uJ#W1d`C*WL9AybNJSX%O$hYkb(B
ztWmkt%#H4whJ?)r4ZvJ7B|32rAGR0RwG?gR#ix~-?$iDT@aMQ+tdkEPhLly3YX9+}
z*&V~Q@Oe6LuD<!A7sH3FCFd4=Yx(ghZ6_Q51v(s<u}%5=mJeU(#E^wt1o3KH`Q~AH
zI%v<hc+{+4ht_J*oii>%sCU$zN3U8RQn*AHdOokiyJ2@%hW&)`qw$Q4^=^HTtYU8O
z&*Mj5L)#_(izFP%(=$21tq%{E<Ah671TgHruG$k6!J`j1p64s4f${G>Uo6)8@x>=b
z3a=Bxy-PR$OFc{jFZW_b(|1AKtIN+Hd{`V!7les;Z5oKg>@VMtC4_b>qw=g15;$m5
zlpQ%s1-9=GvxL`hc<JTnPo9uM4f8+=@meZq=Cs$}v>@TweUr1&sxs*N?-@v?Q$a7g
zs>)qU1n>OfCS0aualvI*;;u+4)IK&WtkDxiqhM{x#U^<)aF1;23!uV65u32fCNU%e
z@5-GUQNaHye)4DRp@OYBS6o1(IEK?NR76fIV##8ES5qJr{EfSOHq}X>r~Sl<S{5Zd
z;=i@CD2fW_BCnV7DoNp!4V_aPl$9}Vy{q)S`&8hPDS8x{CXIOx&=I~x1xI|e21P$n
zVc#LMK?!A9Of{Lis2Ht^p5B?XGwL+hq|*O#vQ7>cm!8~qD_6rA9&u*(I2yF)9V;y}
zSHKr8Zgl6L>d5L=682}A1`e;cmDI>9V%>B8F9%gLkUvLEAwNzZPA7f$l33%#KRrGn
zY+E%^u|qG?Q<DzPZq|eEmdKdPJduAqPz&=m@i1<U)8U<mchiMwC0r-6&}eW-8~K`?
z8;?~Pz|GZL1seyIQGG+t>%lEL*eLOR!sMYL{NpNAx!I<I_p_2#&T;GFqlXnIcN7@G
zbs&mEpR3}H7=>B3WL?zouWzz@Weg?UVnN$d)Q}{zOF#OfE(V<*U)?%s0_(wxb-%Yd
z&IQ^uvybay_$lV%92qk>o?CM%L70MC+rLYx<>_KV*7tNLH*=8TeE#%a0R^M>1p8J?
z>LUF}!RLT@3z#%<{?)9ifdNsRA5UB8Al>ocr+qIh;mQ4VV%d=zNRd{d9~05Wni$Ez
z!<_`ky}IHao3DX~ZXGf+%F#rU@FCUU0|5Qo4IhjbYT!WN9+TR63ci_bN!j}mK>EzL
zPvPe@@bE7VB|%Yj?D-dPxy;-OcwC37Hc&Ot`9vFatDq{X1x~QK##w>nVntYMDFqMq
z*-lLVR>D>BNp;RDE9ifpu+qmzL8T<M$nai86g#dio7QIq6&}B&4%?`s%HbP>8{*_q
zJh*z|(dV`QZ(zd~;iZO0^_^^L;-zuOjd^c=uN92T$UIH*RK;NH-xp%viet{K5!>ZT
zE7*6ig>iem3f?Q7t9IWng8N4nx}GLkLF3s!<XjbH^icaL6}eLgZ@+Fmb<fQTzF2TB
z?q4CJy3=fkh2J_<)%=}1B47oxm5Ra}Iu(%z);Ugea-q<xX@U2(05`2IxAGP!U`_wF
zN9$SG(UdJEJ^wJk_!(!15^;IFx_VX9eUuqDrt?0ulmPG^+5X9VS_TKYE>Dx*|6}a>
zek9K+l7JLr#aGmRDV&ev@GRwDW;ks;dD64q64-;K+Maxsz=|B$`NMIM;dU;!Ja66F
z9?x`k7K@8x{Hw3p_YVJN)Xg@XtMjmc*a$&?ra)2TNPpNE<}uIU;`V>_;f^`nn)vto
z`Va{>8B|o_=Q)P4*hjyYKg?jdHrYGtq%a;5WzUsenPa3zB`b4VnZc-DW!+;_A>@7#
z6m>meo>7+X`$Im}6jaF}(c?0LSajo+|AUji8QJ7-X#2wi;`ZBGi&*nxt3{NlM)d-N
zKYfxp+tCE<Y7@il6Zp`nC}EDvW{DwHP?Bd~WDE`a1KrJqdC|2cQip?enc;p=F3>^5
z81|VsZMoCQjiD!9_a2!4%dipn8km3D2tFpbWl&nUuto5I`%95k#`--Rxq;u-e8kP2
zDR&k*ana*xXjKsta!qlBT-t32cW(;pV)fv}%}2NH{yfHv6D*r{3HKU6z*ni(bHf}M
zlm2HghsKKbC6r8NHv_nlvw<TojRU!Z1nWXm*l?c!v%sD%I*13-7xg1JP%Ao8aU&-O
zKFXgVY<JLMvPYh4^H~lwfb!M!6i$T2eNZ-{59>B>ySKlX16}r-v058)W6NOE`QBiC
zIF?(k<i^5@yPo9V3!dXaIX3ceJ*z$}&hZ53M{pt~X7l0u?R@BWcX!Og3>wH(e+xN7
z;zF(qjP~3new>|ZFnexHgZ|zP8f+b0xRZXx%OFe;oB2uIlzuAA$wXiISi+49+$Ifz
zsX`d2JXzorLxn#>Dn!_G9^{Eu?n!D9Mta^r%qc1rtjS?+5re$AVjX7fFDZf?rqAQ$
z$MirjiJm#Ey$+u>mbmRWEs7s+u@pbPqX!&;IqwGV@?)UI$2z4IF{D4er&8;u2f0#P
z-hG!B#7lqp_MEsOfjZm%YOm<(!PY9>G!s@K{Ki9izvv`|)>qq@RoV35putPJ&R-#X
zRQ6wykctdOOJ<f^)agR(>7MV;cu9DU<Kg>7DLKqvh?wiXt_z!;M)|90BKT~O$+1pC
z0Z*QDd*pjY7g)o7pHvSOMMv)5mCJNR?6<nzbSg#{eEcpozG)Iesav<ls&<oc-+V@!
zK&~!KcmB|Ku#mu&=B&Hbx0G<%&N*nyxGs>3&$25vN#e;pR{tW$m9e{-^Vla<JqY_#
zKOPbyjXePu@0k;-m><xc%^Rc#yzZmb^E6rfX?k>B@EtW2px2yMZq@@L{NO<EI(ZZe
z(&xX<LqQ288;S~0!S%$%m_w8T8eY9^%6CiyYo9#p{nJK;fd{3!`(hRG#NzScxsRF{
z>N&2rFM<Xx+NtIV$z%+=ezZ-<OdDBVW~X(5K75Ty$qC9;LKdm3-PN%=$aQhXRZo=;
z_uM|%N>(f5wdZ^li;r~?Bp$;9iUHV5>^uLVO9hox#a10W_0Ux?t|`R95NZWzvF2Y@
z(bO?JsJTWD-8!ig7tb3()!LN_|5C#&kLz0fTvT+A%exfWXAC=RvrffMtK)-9Ua8k8
zRBXHA>R@hV3WL9dl#Dwl*m^zqe!UzOt5*9<M4y^LWv0bg;!O=af7Np#Y*Y`mUq_s1
z)UW^-gR9NoEj97khT-yk;d<CYTkh-5u!MSPTP3YZO}rr$Dk}R-7q_-d`2GA#fH8=$
zeC5)@0r@1yQYjtm?LHXadj}w7y3zNqk``89`T6&lrWW$Xm%mchw}OJ4FQr}FTIfM1
zZY{3yRC0L1aY~UD9G4m`FD%zY8AIdIkV|Ul;FA2XT)-MCqg8g6(ls$p*sW_Hs|wDs
z^zWK<w}za87QdNO8hG<%>n*lmGDfr2ztxDchVr8?TvXF3ST<iI&(<oBH(1_i8(p@B
zxgc_5@MU#0{nmUr?57m+O(q_hjI{>olyk>M{M7JmoapUsfnpe8V#B$##~K#o?e$4y
zRaD<N&pzZRj2EIKQnGceVRZb}ozgaCWU74Mo9Va?J5OX7?U=HH_Kk<=>Y+;L!SmQg
za)|>IpQXnqr&|G?^%}<p5*gRM^$NRin;947nFddQ6`T^fwOOJ}0gs&0+sC>052H)1
z?(X;?K*2x(UwE?|iX3V63f(Zv;NCBG-1H=Xx&4<*6(EDpzcMovLZ=v%9F9R>5dh;&
z2~Q68NFrASuSloJXGR&}yS`xu0XdAQ50EU5zrXuTa%lH4tlr&pd6{4d_J<rI+`~k%
zy_Wr^FZ~^Z%Zg#P87*Mv%Nx%QoF$=|vP|tw)n>-~;Jd`tMRRa254@>RE`*C^yCn0y
z8yF5O(LEat%t7$*NktWDL7Zcc+nf8Zfg!Jw>iOxI8K?(QhDX=tf*DsH_$an8IJ~a7
z$5op`s7IOo&r%+I5}lRx=xhh0dDG(~?%byE;`LwhWj`+5oz*rU!_vcuJtKM+JWXKo
z@$`9LZw_qlE;wN6+Ru>NUBN+pYz)KqUi@oGW5aQ?=#x{~LyRCzB@IqqWAJ`0oFFaC
ziUOH=MTT8#bC^^-kQHbImt*ht=hrb~jMTB$^#<b%QAztZ-ED?YR<Xp(TEK)JECZeP
zRg;X7w+WSTMuxEO>vO-}xK&1=!&MVC-|vilT9E<Qa}0oPoIJlI_>b`>_hUwg@J|M%
z;DG&zr~zE&=jgMa{>%8Uq`=&PWtJf@YI(#xfeu9P#EV^|zl=K5P{S(bc}Btxr`8W_
zbSO4ee322g%wP(C@6jy0!1#EwUC1YTP50_2&&uj9GX@im)R-ABF-%Ef!(D5<lOoYt
z(kQjeNQX@7(WA?ZX&<9r`b8Rqt#)_;EHe}{`i&2@tuWMg7FUJ~(?G7MLvrBOGD9~e
zh|#RXg#QBo0RR6Kmv=bT?;FP*d+)vXIF93-W6#fx)1p*%BBGG2G9o4479tr*R3a)W
zC22_Yd92Jzg(BI>$lm+s_xJNW_jO;_bKUpr{pvEHRouNxh3@A?&x*)v_@g@B#PO2^
z6pn{|FQ!nT^vp*Euemi`A})(*`wvFMsjq7Hq?Q6!`?p^>GQN(x>bJ|6*)yX+7q{3)
zhbYiB8cr*b*u+zPtTSxJSkR4^)>CH|wITM)vmcYD45*r4>bzqf8xpJWapX4E2JYD#
z{Ap|iWMCNaVt*6|YA@h7*?)-)?(20mx#I+Mws2-;F@g)#=j${-?a%@RdFJ|UQ;g_E
zrwP?4hX=iDUiq18papjm1Kp<inUQRBv?DglhjjWq*73U}kSRIQ=dzy#rAJN+>YE85
zcAcWL9|cK3k$-+P`~@o_of&^Yye){{9yg!JNY#X3ul&ycjM$Ol6whq8xG-Au3al`b
z(FFOa?bnz7a3E4r)<Vro5%i1_caQNk5xVY5Ke$%Gg;JGu`<%kXkSiKh_4OnI(Q4wF
z&U+s8@wb>Hr>g{dRep$|Cq;zZ{*!T=<9z5kk7Kl%j}-clqZt-Aq5&$3=ddhw0i-NT
zXH>W?gM!#@?rs010Y{5GNBP19QHph)d&asP`eON>PH55q<fo;@(=CK{@S4A4*sg$z
zFIWt?4r+kTn{ffsQ4yqmm1mKsKoQxSH(8a+5TT+k@WBw57>XfGs(u$&MsbPszXzg;
z(D%`=?d*4P6!i0$Y*M}o5?g%yQiD+w4o<1v>wG7P46LovZd<CM4=ro-sMngnRwMG(
zw_X~lZk7-oX4O%pT+%b%JQ5@q?myQ*FN=oAwylqz6H!_}Zogim1%*XdlLhX{qa`Y0
zSvo~RZK;XO!5Z4I_y9Hoe=4A|Ruj2L=490G)YYTzPXW8X6>=KVN=Q^^-I{ex8^!%v
z*F1TY3Y-xqEE4>ckw?dgI~!jq=&#g&(%0f?P+qvm)QYR1gr3Alg4e0&sZfMORI3i~
zowD}T7E?ohL3TQeCNy*}<biAXPCYnX%;=Tuua4GkO-ZLA8XBsqd@|dw507l?>`O{D
zkmR8b@-cB8r1?0e`c#e~yrys1n*1dqzH5pDJB@XaID@3&c&IUa{r3Iz(uO8tr2om4
zlGQ<He62QV2TWl_U{cIriiDWAO*!|zry)*$VsWB{Igk^D9y&hPLSO6W9r8qJsCLiN
zS7AN?mTd`H$Bf9xx`}uiG^j}AgZc2aNq`&gBv<BR$*5BG5~X!s8`-dr@Yuh#0Q)J1
zqU`fz^x$z}4<Atrb?L^Pr~6sL?B3ba_e{u$hyBLpb`B!i5aat^GiwQ2vxSdco@gN@
zE6MRIrK+gNd4q0nzzQO$4UD2cNl1yw^}+gfB_yEKNZgfa1<{6Qbr@?k(Qj-!_sLIk
zs6C`T^xsn}@ZNhsKRud=9;vaHD!ECZ2794q&U`CK=xXHXVbMTGj$Njh`wF3h2~q|u
zkybDt<yO-Xq=sr{o7j4#xsm@*>0v1yE9jUHK9N<af>LB^+OO0xqLlkAUpqQ1;a2LW
z;TP=6s3x1;nY(NrzaPo)^5zLk2)=1IQ?*ACReJ?T#A^59r6(DB)Hf}lP%>j$FiRfY
z%ziKa4Z|^?<TjU_%N8)>*N{BhFN2z<_oaq=4r0!mF`v!3EFi>NAJ2Isi72;Z)(3p2
zu)!al?Qz!tyiMP(ZoCykB{MeP9u3c785IE~bP<5wh(~EIlfuZ+XRT^(eGxO9Q?zzA
z!5~RBWq+BAAj<5j6i**t#*~)lqgU+AVONp4=b0%!G;UUuKQX_8P1K)ZusUf58+F^X
zx834G<pE-0JNB$%$D&jApU*M{hCS)u8lJMDLwg;<OBGhJl9&dYvU(HHjY~{$QDsIZ
zK31#ASt}Ty<)aTdo5pZO#Uq<@jR6V0z1e`ZE@RuAy9<WRj3Ha4+|}D|4L|Re@tSdL
z3De-ddy;s;2%5=*mpu0@;<`GJ`+0g1TbIAOu=Lpw=$}(dV>)MWrR+aX)Rz{pQ;ojr
z|Ktt9uQIAUxqTdW%BjCQ%&~yE&UbO<M;d^8)njjmfgxOl?J{{-dmg*<&hAQWn?6*O
z680QJy*Rmc%KCQ59M+DHa<Ule!_^n;{hfvF_@IOD=*^Z{EOy%tb?Li$Ah9AUP%GPr
z>m)UPVz8gZvfVkDK6C29<&4R1Hj1S<Z*!8>!14^Hwr1k`=d>>L|L*%RpHqk(?TBQ*
z@^J?9dfj+aXHo~^Tf5ED+p4ie_PfW*%V#i&e3!{<zB({u|8Vl1Obb@A&hT{b`waHm
zXCkhBfCif(W9N;U+OTL(kNYknv)H4jUpoGJ(;$i|>gpWtFYH8jIOn05S&Yu+Bv<&C
z3bc+#U3`RI?E9BseMi1IEV*2Dd?SbouPc`Rb-4FqwJTg<&GmDbd3(=r`!WTd2geH^
zDjdX|=BdJIkLR&E^7?I=cnU<uW$)TII)pto_A;%0vw%ql4f|G0Y;iLnkMlKY1mjdL
zvG}?5FOKrw9H-p1Aui(h4&KNyEYrOOp1CYzZzP-#EL|mo?{<$azt(X~T5tAZ#^egt
z<;7d@|GlcYplMyNJcSt;lXdo$uVD;mdN`I*3-oR{x~BzCV=l|_H<ZgaFwAF0>Ed=0
zxE@S@bnx>G#!|9VJtT?&G~Xu#3U2YvLPR`$jy{KVR37>i@{$1ixxO8?=qG}whuj{^
zAM+Tulyf_u5EF!I|LC9@6G1L=s@EoA5v#My$(6`phQ>Aq7O^Z1SU}q4+dY=C%oW|l
zXXdP6btQI|yr~Z3_jNzrb6>^&47%{|7GeiFiSfag0Ch03zU?KNu#S1Jsh#^M$_Xs(
zk#CRos{u;^vs2N~Cib3Mz3I4z8~C$de2wx{1Hz?agFR*hNV+oRmtMgO)ARICFaN3n
zXW;ajz(Yp3>x<=@zTk&YlYi`Ek*ZMP|L_zWjTr*uea@F?2*PB+otF|Ks_>M||5~h{
z1vE@ayEdwYK!@$s*{Js_AZih5_2VrY%$BQjt6UO+k-ddCFNCT9@90A}al`>*s>U`D
zA_ks16+s(@D!{moG)LySfWN3(IVxTPo-Ew$<>XfZexIPyWKUlBX@h=EwMap^8o##A
zsxo*A*FQ8n&kslQ9^byVTNZMw`JAKIm0`1`_o>{h0I<tRu1lYj2b$Ps<Vi^tkZHcb
zYII2mEX_Dl#%C2^l;C}y?xX@ck~l@`jYS|w_Qm~xOG=>oaeG7KOBHxaQ(*ZkA_lum
zx`rR?sDQY?NPL#LD%gEveHkDw0hd+zIY!o1A$0eu3frP8{M=*LUTq}>zk4s1SoN!e
zlK8Jt^&vHQl^!1Q>ZS~Y=4SOC`Avj9ni)h~NCPx2?~B~vl85m5ht1-nB$#;hNS7m?
z2uYoiwDCg<P;!e!s)u2V>*RsrQ#K?J)#6Z@tx*I^xzk<m5-D(NSL+DPhYax1qR`Al
z8Ky8^5<P_q`4Zo=Uj|d4lw4A-^+5#$4AWTiFVWzrTfv52Hx+{SprrDhYOpkQz^wYP
z4y>i!?|E}h2Mpe>bYrdR@JF!BluJSv>My3{soCoREjC&r*o6qE$9_+I%h81rb^3)^
z2Lm|u!fa`GlP0Wsf0QE)=|Wve;z`;WBk&p7p&X!~1x=j0{22#yp(=(i;Q0p=h=1)j
z<7!I=Y7)o23yHeW8!Fup!fg&8>im@UZPSJ_=VfYPhYoNGe5}{k0GPe#U(2_m4WV=a
z<*a5Jj1PQJDKWEv2Gba9g+c-AZLgl?9izfgmBV4RhL-R=Re$EJF$I3?yk7btQX4p9
zc>=@vt-vKfp~F#(0*b9y+S#6HLTmA^qSx=NK>lCS-UrFrK%M`g<ddle$$@Q)o`!U|
zV*TIqmYZZK)%}%s-cJdpD}@wt|D!{>=!_qOqZSlYG%5*Y%7Vh_oljP>=rAj~%@ICp
zg7c9tJyoAXK{{l}{p%$<coQWCJ_!(EY1fglYEM2$Xxc$av7v*|+ArS~Ep>=_<LMyX
z%m~7!M;j|<tU%jpB2$v83ba=W4xa2&TYK1Giu-~Uj5U?K%U4&15Z}G$wmE#j``N}^
zE10Yx*2ujtPF@jCQk}G`-KOwmjfiJ#(U!32<F~6-Q64TH-dD6xyov|!Z0uy5uz+D|
z{UOm{X=vXUcq~?y5#7n|SiS6N0n}hANtXt3P;ENb(qqhmywCa9?Qa7pihe+N<0b-`
zmY?^z9A-mOL5|#1TY!BU*1VQvK}cV{Y<sbq9dTXxchmnS1_f8IIA_H2!h&mjZP`^0
zbVH!AzUHnu__}rG{Zrup^_Xjn^dSzk(zNmLMX4F^R#xeR>|%zqtM!rB#yQY#OVO6)
z7E?%VaI9o&+Qf3PsdVQL94P0X;8~s(6S&~}i!tTTB4#;O`qVLq1DzUrAZM;+0@1(s
zxdwin!j_e1U;gFgK-Q{%ggzfL2C>??&Pz*!SmvEdvG>L7$n@cqHq$dBXnG(OkhS|e
zwkKq#eUu|R>WwkUrmPu)XO8}Wk54i_8{K_iJ1;wOgvfst`wT(M^-Hg+_;-9hDnHMm
zn+?5WIb$IA!~pbfTu!)F)`!1xzc9D6kqymWye2ZjV*rC0Sw#iHBlvSKTsy0c4cVtn
z+^Y!J2aV;*+|H&++)(jlNe3f4qFdBVSr6#J{h+$%4XZPFg0X|+x;;C3Xm0Ir&`A&0
zT%S`ecg*9lI;~>~jqIqPT<r_~Sr<mXxcq*TxP%`FORKB$<v^N0+RI#aZ_QH!pZKQC
zD(=x6yxB<NM4n{!T){6oU}(9kP2ko#KI@cSfF!w)pK}2E<D>)Jd8fApu`(b|7iX?-
zG;Y*;TjN687T+zH%|BS16Ogg$OD@|89z?NF%a{tM!GyvE%JC>h<nz;V;@J={@>-yp
z?dPEZ4?CYtX9W`y>a?r*Zpn|@WmvgoA5p>k+7amh4i?nzrZAaI6hQtvr+TmKrh+A}
z{-^q*tjIn1j_xf@K|~rkZ`nCVfhQAuHW96C=wJ%{oazoCl;3!k%Ojrx4ac56>~-Nl
zrvsT-BV&Y7x{6Fdj0*)In?B*Wz=;Tg&kv4$6G3DxI#w!70k`jAYL+G3=*I~^;gM}(
z=!@6zVX^1h&?f3;P?NxmNG{2jx_*kILaF~e0(NObM=ysMuN6O1yA;i+dQ}pYOXVBQ
z&yr!sbZxDng8-rpWPWEqB8_UK6L(!IB|~k)&GE4)L1Zpz#CZLXERqecGc}AOgF5Tz
zeBMhT#DB&7bd|Y0@>yaGjSM5ho0n1p@7YBV{av?5s;2^q^jJB>e3lGHhli=LVWMbV
zrYSN0x+0p?HRYbkCqsFlBJ0w!7)noYo8s<NLN$+lvY!1TgLF=~#8j39GA2LpTF_QO
zsiTuZo37fBL;cXz?jVIodJ{hW*HyQC{aESPj5b_+6Y7#jltC#&saHyw)e+;trz@^*
z6u_Oa)Iv!)q-tbQ$ahu)DXZ)KJ@AtPUyfaEMyc{>LqzpX(h?B~+tYre1XF=&XGXkV
zo&s|D9C5BSgoH5k{LPdS4VDfR_FjFfh$8u_cM5iEq4fM2Z^1<x9Q=Jhv1zMse&_V%
zK7DQUVf$G*!l(`$wu&6t*ic4O7c6g(4Jqh$_J+&qnl7xSz4J0qQbj!eMXG8z1>x3$
zQ6z1BXi@G@e!At!6}Pv)Xx#ERt^IMHM`H{iP^jp{CuenZyzZ)}_X#SB{nM}AHDm~V
z@pnwE+%!<`@i27$8Wp{Kmj8Fd%NUjgtz4+Ph)5=1cW*)r6|p}J+wU`G0x`p)^+95q
zNGO)0%gmUH*odq97b46+%vMsPAJ;_N(^!hV5e2z@P9f^8n#0W;sp@eP5{g!J$ubn6
zpe7x|zk&Jy)(f#KgO^AsBr>=9q6ZntpNkB#=>=d*aBYdn+Va8pW#=bWTj#&u@y~=?
zz-FPSf<YJw**ILzywjtB<_wg>7H2HLOTxA{MTCTQ{>@w)*`bEKEY>TO9W0^xnEodD
zoF?j`U3%h@u8brP5B(|4w1oRNpPa?Zh{(JA`y;jv1ym|rebN2BC2$Kr5U;4vKnI9|
z;zsVWDDT~`Z0nDfVAeSr&Ui~5efyA6lDJ0#Jz#7<^tsFu_ARGM__(T}`ibveCv$~S
zM+#@6Sdt~kydiR`GpZt~?D&E+{`@F^(MR$7UP}lc`uXi*wlWGx<Nh<fwTIULw`*gv
zgr`BrZEQ7_&`L$7ZkZ?(vdezp`1P>`XejvZ&Z$s9!zW(hLCLFl#H)3G6&nj6+0N1P
z_sgSPgH!iI24?V{kk5G)g8;W42BdKQkwLo(yd1AE4dX*2&*s)nZ+WH5>t8rs3XQ1g
z=S+2V;#Umh;=XP9{#VYN?3?xC$gcBv)A{g^c<P#NrROdT+J5o*{M(wZSR394F;Sto
zd&!#t>u_^W=T5N+*)5Eyc0ywFRd2Dwx6i8mDlmh)^kV(+eS%2ZV?62Ncn#+A;;|=d
zhbdgu88BD-k013&n7e3O*I_|-k;frHQ;@zcA#uHe2Z<;?`}*^0Ef%~wG*8-Z0?Gnv
ze|s7@(Z_op6`}<Qdso8RkdR>vEjd*i4jSy}&_(B@_}o&g=3|8U@g5_1>Y}&k+s1;B
zPDs<vWEaf!YL>(cvJsTKGOH>#FrghB6Fc1_%J9`|2d^4jFa*2hlM~*X1k~w<5o*(F
zaf{y3a}8Yv&`=c?uzr#O4UKVf@_lT<_YYPT8=4rv!x!!Y4Q3m7u~^tX#pQPVzl>ya
zryPCoEnmKWb!`<t)6f_Fe&26=oxR^;fkhvRr$3JBNUY%F?ib_)`}*+W0P*0d6M9fW
zP5SAw#huudSfZ)&AKdPIVt{<VF35?L7CYH2;ve60mVG}ljJr%md^zf*3*zU^Ic)6~
zaK5^uZPiU<_=<|qV*Y0x@VIAwSv`9mpDQ4^U(=h!t9LteR$A-8l?Yk2OqqH7&PRuM
zCf8{^)wS?PQR9|Z@^yaV`8kK9Q77Yg)ma?v3rX2!O9O}Qh?;k`b9g@6VAy-6dE9qc
zw>`Cu3h~V|stE&gxWZY{Ya#Osc)-`~#SxxVuzh>2m05cpAG_svu5oh-x0clNot&V+
z;E|MLJ`d*csJ|<g)@rNxOX1D-g;)yk2ZZPUw{rovFg&_i6|#==FplLWic(;Y`<GKl
zcoE-r{)Ci!-zNSK&)av{LmSitnE7S6mhd<6x7qh#1XN`A#Pruzj+7TrZj>f1<J;LJ
zXGjkjQQO44|J@EPuy42B+Z?%q`!rc7ozP@P51)KlZ{5nx=4%dB?`Br<JM#j&L%*<~
zy(;FD&rgtmv(ImhaC;p;mlLQ_e}fIV?&r-u+n@<QpdC?9ZQ?!-8uzR&aUkv~&+2py
zO)w4(>w8|!fNZg_;I$ksq+{i8<d;SS-sL=HiD3eAkc;ZE9p*s}uVv&CnTe2CXrKO@
z$b>k5B??T^_z|xIY!=6A05Oc<urHYzeQis9y(?J&4V$G@7qMx8Y{$7ZW)W62`+&;$
ziCqY_vep$}%2o$>aFq15k_}l?V<R;03!|_Zui$gW>Y(x2TB#|M11aCcL$!QF(K1~o
zN_a#Ktg<scZqMdIVpj;;AJ~eczOdy~?m{)lv$pnXY34yOkNl;M9F|17S-vkXMX3Sy
z)j%#yf*%>Ec{)nuNh7P48`6X=pJjQyIg{cifXvD?518@Gp=}>ENhc1efiZPor(2sK
z+BR^*;lxjQRM(`6?}*&;pPF5#Mh*+3h%%$!n580m(SK$1!t<^B8)K@%{Gy1-Q?dJd
ztrBwoJo)WCuR1W<i|tP86GI7-73M#^R8Y!Sm9yjwb$D{?DZT861ahjXj8YKa;*~$=
z-4bgJ$YQ^GCu&v--LoW|^dC@1q@OD8uk?se;G;!W(vwBEV_QU6D~TvS?rJXCT@#{8
z*|<4v<q?ngVpZH@68a`F=VxC}g559NiY?L=kW#-9lkY7u61ql<I1odI=dw)^*M}96
z5Nq0h_Er?6CkjPtmJ~>$niia}QAR#wnZz9wDl+%u4mo;~3LbgK6SUr_AW4RiXVu&^
zRKX-mF#NKW>yEIJerTwnN^eVY))yLLO^q9=KcEXa#)kvMv(?cY;c#zokPdn!Diz|v
zuMgRfm8C)0>ib)vm~pobYS($iS}<V%%HPJ{^gC*ze?7~@e?q!QaxU_Y%D55Kj)c9K
zyGlYOd{ca<Sagw!M=MQ)U<$J99wK%*S}2#Lqj3I_4w{OeIqE8H4z`|}2O6Tu2shJW
zAK9cKBN^Kxd}07|l9&HBNNJ;rr|(+#Fw>Cyt;+NX0SkD{Z*OH8u8k;`3FS8LDQLnp
zo)|iB0kl@nf$0CV(L`Q!(p7&l3f*4tPo&%u`~_NqzME>J{K&WB{tHBeg(-zII&Jx2
z4rid&Lo%XE9af3o${iF!$it>OE10aR<r1jTLTjd+o176!s2$rq^og4errB}HUfCo>
z%nXYg2$VxDgajikRXRM%(wL~%(L`jdT*_#VI67rEWE?I=2g+30zn`}>kYD(vqWlj6
zC~)Yq)BGPR@On^sPOV1`89vUhlxt=~F3j<S&CD(D%UP{H!l{bFc!jPT9$dwDCd!Qx
zb*;c5_1OL_4P~UC6!EV4@gV-^+`K<RmJnfV!H}^-5w#4L>TBjUW0?f|?%h_Fz(H8`
zOAnMsOREacda-frW#NIU<H!QcUrS6YZI?mW4R$hta*No(qioZ!O}2c{?^o&VUlM5M
zi-^2W;5rsw-lNs|8en5;YPC9F6x}J5x0#z^fN0IX{6$;&XSM(DbWgqzDlECXY#G7`
zJx+1&b5CMWD7zr^rkfuTm)_V#I59!f_vQ1`vF6~}pU=eqh#RSx7p&i^X96J-tL2ZI
zW>9mm(cl*sJ4!csF<UXn1l|d08eVTrLI1zf_gURcNU2L=nNY(71H`yK+dn2y1^pg-
zq!~~o2ip_HXeLmO8+)lCVFHphzhvX0mvQ~oPNi;1Cg8G*yYA~~3=Oe`55*&9@r8kt
zvPmV3ps_kK6p>{FHABG(UfTcgffNsy``a18_^G#f<DenX7>m5P@Al(wc2@~m{UHF3
z(=K)E8^V{<PcWKpE518^Bp@}70IB9PBIef&ApZIFj4<Xhoau~!mySIFXrtZ@|BdT|
zPpPcA0;Lk;>J4eWNhE;Cw{z9|_UnU*&@ZvFmR3wT;v9X46amyny^=lN>H#Myrs+U;
z4>t2!jV`7}fXwCtgF)(gFvjnl=D0kFl`*|v@Yzd%;~&EPtZ(VUcN=MMbY}$XAIVdo
zXAr=-u{*3zP#6A@>k0AG<5+z8p{V3#0z3%y6{$(qfv>iz!<@|1*qz0R8$xFpp-^|)
zNR>|qcn&)qDOjGtO1cZ~+?Qv9Q-=aoex=jE@VA$4OWzzeeUdLm>kkvunxB>YAx#5S
zgWr9+H49rZVRW~=i5W7kEYn4{ypQ_#MgGFWCG7o~zZnT_ETBc$)01gJg}1t=_&=ww
zV76Vv6JpG4P>2hq`+cQ=^p6`xvdL>$dG$$VxdZI*&LLJL>o^5!+3pQ++}XeyC(cLa
zw{rkh;wXX6NdY80)MDk$04_40_sqs{L1XxZL8*h<kQGy5XB<y}?BWZZj~sXa?+$O=
z^LWdfgnn?^BSsjUlp?)!<%7hcd(D|FWEi+->~V&d8N6GTE~_;1!<*mDifR5@5bduW
z^emhOLcOB?oMIG&1=*$U#ZD6Bihb#vUt$H0rMb&`E<)hAx9-FfXA*oO&sqoFVh5*5
zlZzgoguzXClD(==6RJFdZ1;L{!ecJCKJFu;pmm0$HTJY7>@n5fJ8aDjZ-+7kJY~h<
z*>O|dU?ol9eEOa%_Yf~wkKGN9+>n50P1irUb`zmQyl(Z>UVhkJwj=2ft2BtPx*hZ?
zCc??d!Jox(0)WdWu8tVU!W-TNHimQ}=v5DYeBL1lG1B`k@3oc(by@8Wp)Kwg4#z|q
z?hpoln<Bf)WCa*yej78sRVP$}=ko8bA~5&sspg3hMR@UaA<SWv2>+Gz%L+t`!64Rr
zl+9Hc-fmNzPqNVjJ;6V+40H*Qon8*T(4zuNC$iI=+cn`zH>8AXNx`czJ|B)PzBYH|
zKOVkDg6|`3&&v#Cz~~rr@<VwI5Dk0G)OuD6#OijpTYJetlk`NPNE;EN+IYE!?~~ym
zpGo+?HhE}~dXyWo^**Kb)sJOX3Wy07-y3CDgy2yQpQRmSkg}6_{N^_WK7{^lQ`)Hn
z18Vb^e$Huw*UwOegbpf<wOq@sOi>2y`$q<uYAN7gdFO}F8Vz*6dYaC3tAJ2rcF4ms
zR5(TX6+FL97j6^>OnuT)1E%vb(R2wK6o$JqJH65a1$zDKou|~Hdg;`4@iZEY?y8MB
zV{HJo9U)Q%Wg1ZISSG64O#?p*-nQfGhVVZC0096043~E}mTefu?Y;NTe(iVI^SNHT
zlB7scM#xAs>>ZWW5K>8`DEWkx5qTaXGb1ybGRj`bNIrkv$8rC4-{*B5=kGipwYuN(
z8Bu_U^mXUK4H8sJ)IG^;(t#*x<x>>1itzeb0{&YE2|U|mW>=o+!DxE^>Z?{Ico^I<
z_S2mNTQPT+egqf*_hm;<vj}Cl=VQd$^N|Q^0c>3<;sBps3eeoyR)(=^lcStp2=IPO
zQN-*Iz%}c*piFfYD3pJ<b`tOq^6O)tcm)|=#_gPYudD*2JiTqA(Ms@{MQ1U|!4Mj?
z-ki)CSBB`4Tg5Ba<e~gY*pSb-A%s-*vh!Fd!w-9|*N-%0Veh60E>+(MstkhM(*l&B
z&k(T){V54GOl*WLe<PTGnp$A#rU*9*s`EmQ9|8vCvr}Qb5tJ7v7vB<B0G@{T+V@2T
zA^+G}&$Lh@IO*j)__st3)?<aYxZJqm*z&`end3$vd0JmXRT>A14YR5Cw^$&EJgD@H
z*$Ad^F7ME285qehk$-ca8Ul{iO>dPNLU7s2*|J_K=+1q$d3NRxVlo+|M`>vYOz&<a
zYRXCi=~9NxdfE&k&_rK^jFI6;hUG1p2yqDd$NeBm^&Jv@jiV;XgA4}D{bv6@i-M)z
zQb@7(Fq&dCl25S$FhxnpSz0Otwi-)UZJ+-_KU3X0wH*NPvyQ{)`xk!j{b*S=rL>A_
z3rbva_=mvI&RLUGK3>rOJy7YUuz~tj&lNu8Mxc>3(Wx|r3v6qvg>9HOQ8dw=RRnJU
zvlNDft|lCC(bo0PZ>B$}(67QW^n^aR<@J9?ZCRi@la_tX;SU;rp_woest0Ft^J#Cy
zF@W%$2|iinKWJXwx7)#my3pv(#+f5b3;F@`MW?ejQJ;%nzkAK-K=j4+#yBP_$XWaJ
zAgT8^+Ru3MlB=u^5M@*xsx$u~=dCV>ZcT2Wr+r-dn0&NB!8={Ex_%q6?fctbH@uE2
zmk+k=RcZkZGELS9{*62)5qsLZ)=+$Edde7!78D%uoWD@KikLMxJiPp66}=<Fx^vP^
z6EI!p>YDNeq|(6uF4w>c8tPc8!BVdQ-_FZ^E*+gg0{k0RvKN<8S=)q{pJX(EH1z3a
z)W=E0(W|br)o}^!xhI?}dq*8AN_e*neTR@v(+++ErbQGno#tfSRs$0;fq;im-AIbu
zn{LmQd35-em%qNJ8t8sLW?MnqgjiD0uS@gHqsiC&NeQE>@aVJ*hug6a$U7TFvRuF%
zYTJV^X|+)Wr~jBw*p|Dab-`lgSNP`8I}K;DhQ5-(&xoVxz3+SUL10o->c%hh!m+)>
zk57=`<tNG;2~zbaW9@GF4*MM1*q*`ltCt82e<%F~E!t4y)A{4P9&>2Hkna9ldm>!o
z9(TO&^A%;Pqc%<WJBJFqaJkSuO@N^ZO%;LNUNms^LCdlBdGrWvaF*UR0yrJFD}Cem
z4K*M5S5P~&fXcq&-S|dLfDBcp;~j5?(TBtqp(dFnluu`*T@H^25>;1A)7%*P<Hc>Z
zuA*hs;P^4$DhCx1*`3_*;+sUDsBL@=__TuZn#VUDxvvbrmrOU`*L+96M+#n9YFI^+
zhz8zOElQw}))%I7eF~+0I_$u>vWB)&C4BwOpae7?6;8=|GpO8)$dw<kf!f`g%$+%=
z2(HmrTf;<uqLn!3B&v_UQNpDJ^T<aE@F?F%K1pN_r8)dr!tVSZ^gM)LD*Gu9&mIh#
z`XCEv`9QDrG2%8_u)jMNXCMzn>H3Ag6PM7!u{4urja@Xwsx@Ngu^g;C?rjl{T|rM$
z8SATG+d~!JwtDmL;-Gy&-SFt>Dypu^LV16FAGK>A3;ykl1O3pPjm1;zsQ>6ynsRGO
zY&ynn<3oom3<e$Q&RyC-Jsyn~#P(2O86`q>x5={5_rli0;q4}BKi~f=H<SiTU}@jW
z|0n~;)H)oFJ=#K>JC`pmTGC;j)5e0nIx<j>Z`tQ4*+B`n1Qe1_Fks=zv9F+38hVCa
z&gAX=MZ?zLe8R^uVS|kq7hfEg22^?8J1S-$)kzc#@BPDq6}YONM`olz{^PKZi8Li9
zc<8RtPA)t45}Z{gZ%RRXWNq-%d@77|?eu_&1t<3V7?aX%ycC@7gU2Q|G?)#8>Dcld
z7iJ(N$Kf$03C4Zm;>?P4nBn*0G`n{^*jW6#@PE0Iz(vqhrN%R0%5P5V)93MF<_^x2
zyaAG6(D&oqJvSz7>~r#DR*L}k<nfICpsge%RO7hL^sr#;uNyCPiVI^lgLPk~j!44W
z)RBS1;p|u$-AyZ%B2jGoMB4Ic8%glTMKl?xablG!zMaf^;+WdpGRy}{LR(PD8NPNd
z%o<-gtBFcr{Gwj_w4WrwaZQ-IF_8y*x)>p<<RXP}3+yoWN=ZSJlDcZ=RX$9BHFC~X
zMh0_oDtmP1y%col_eX`q3Sc*{?5V{w;IM4<u}jhZ(h%SpQvF|@5M~q6{+*vm9=ka5
zcmPa5v%gE+R|Y!53bNj+h+=OQJHJuk6tT^>DPi;ZvM{na+cnjE2-7mlNYp&5j3vz3
z=pMz(LEAA?U0rht>}WxmrNC1>R=Zee#LK7vJ-=6{{Awk!(v45re^v<C?Z4r^Ok^ea
z?e;|pJ0^`WvXC|3v5_#t-L(S#2^HYz;**a0C4()px}M|^Q^jZ+1?X}&3Gj2i;@0JR
zI1CB-rPa-?hH)sHn`)PlAe%iq=DL<VCM9R&*702pYoh<SO@6BeMx!zpqJ|YPh8WLG
z?=W?&impmxW=I3@#KgrIA0_N=lbnCdS9Q!*@qC}Onl=nRrQ^+?RK_&k6+4#osAKu;
zn$PqP{Qr}uwA&YXJm$B`TqPN(j+NkS%^s*3fK%i9yc}TymOAWfY586aldITb6gvy>
z*PF_HH=KYiKPY~*7_W+b`SfSLDxM6Jy9&<D9|%~5?pu42e?;sDP5EKpr-s1tG;YMZ
zhJe)vF@|J`5wJTy$=S)bjKDADg7x_{0`}&=e^xX5idaaRjLW=%G5jgXICEQvfH{>A
zv)u!5Sk{$~Z0)Eqta({7KX<}oJ&T|2hV@Hgx_1tnXVIGgo!+DCLz~K2_Z_>UH+dph
z!hXilF9Ie2j}^TdjFqsSy9?SFfd~5;Q2mN?+Ze9vot$Voqk!!c_cE36Gh*!>&3}E0
zjo}u{omwkXIjnYhA<ZK454!ooeP+qb7(nn)c9M`RhP`l|>ALq8wPI2&d)jOSHS-VC
zJ*TCxGIRG6rs1my(Pr;MfsPTZJR;W2luBUPAE(!=SScXlzlQ%Pat$HI!++ab;t*ze
zX8iNeD_TJF_-|0M8Un`Z;cUtvjO}G6Xnk&Fg#R)Vl(GWIa6KR<>zo`v_Ne2En|2us
zM6yqD#Y_Q2zKb}T63>l27kI=W_lgZT^s;L$>;Q&N=%yMGI53eDQ5GY;>@aNIq53ix
zfj)LKmL6RuOg|_4bf+c<Y=r3HN?#j5hlkTz$O{@w+RTohV8sDep0+A!mHHs0+8o0n
zvybMs-IKX#%mIeG`m4DEdLaGa+OjP5Ci;4dNh(c}173OLqcl`{!2QNc*znmr`rgn;
zt6`2E7@Ai6KWgfN`du5!$3256X=UcQaw0phmsd)32kHRDeCHk76H$ntlz;b#Dm&EY
z2=!mA)rKXZ*D9LA-w--4q(f?%4fYGR9~N_KgMpHVvQh2~lJbN>xu<~*R&Gw_?fGbd
z0j&h@C4m*h^c=3E;UgQwa@}99?$iXjp|jdC-Wy0xv^tGd9~-PYD%J*SX+q^p&9d<M
zEkuw=|2&_c9kOm_)^@$pfLABu2pW`s5ngNc2vRINl$7{nM2l)b{zuJAk6ibWlJ!r~
z_G}#B$khDV?y)*N(c}{KK1vCh#)H4Du5iHMah4~V!s^hT?H^v$O$9ww%AybEIpB<=
zPB+I3HE4LV^26Mc2JF%;Dc^*1!fBQVp|b=vpreQ~pR1>Zx*7R=2{|r!?9SlW(Vz-P
zgnI4!wdf(*)mSEOo(t#}D~D&#tHLL*-l_Q#1{f>eOAT!11{TW#CHH+2P*aL!m#8uU
zUDQ|ibd(2NeztHX<&l6X+e5**ju~VHQZ_Tb@`6N>MNi==5?ngkb!Wwy6`Thj-!<Cj
zgRz$9X(T2RT<iPCDa6MPaV*zLtqu!-L;J<Gv?e0#UAeMFIQXX)`+RJ4u^?n#r*8JV
zLj+~^sYVtzPVnoy`6EVM7&^#BN_GxJXcwmcj`!dKeecfY>2D%%;^&x`j5-lY3)Sb@
z!nlES2zP-hLkzBU&V4TtAi~X&Fg=PK9>}e^B)Fk34yOrEvv=u<AWV}@&=}^0Sg$ny
zXZjLAQW$bRL_>u4neL-ya{S<V^=1}}g(TeZVlJ~|BOdsF=z>+E07$C$SNeKL!Nb2T
z^%QbMV6#9B?@$ZDiN8@@H<P8o;1z>RqBRko?=avqlZD~+W}8&xXBjY4DN=~KM}&Dl
zO==T$QJ4;@HlC!!L32c5)wKyCFo!s?*Ds2}t<wU!o<?$DS6;L9$CL!tVUneT4&u;t
zf#>bgO?kMD9}h`rAc2UN%Y&e!67a)NdizL&0{kkfQ4c$-3VCcT7P@3f(C)vYV7{dY
zbjyJf-Hd9m^`(J$NKXoCcrvLog_OY&i{lmVQ3La|m-?yN(r`aigZi(e3IykP&7CV#
zhZ|0FG1oL?pw_>8QI`P^dzN1eE8l6rKdG6)T@_gnv7YVE!tjt;#CY#wqbB&IH9HT8
z;UFVT-&;b00JCD^_rsU8pl1DTiV~$9I0>jy_mT+^ZGTv@=OE{oWxB0acgey0SkRW5
z0RhgpQBv-D>cWqWe-F6g<e@%+wf7$v0lvJ`-LWargXmxElGPFlpsc@jA|MP8Gyxh?
zX212}`{A0J)PsB%QFW{xA9?WprkDK*$_NBWudj0bRDd<q*ut2o4EX{s7yIP^gtzYh
zm(HRHel4w5rH>UssN!CE%YOiIjQY#(sTJYMETSi0FAw+crk!IrM20Zlse2c`C;&r<
zNQ-L~4$7*%1WUunkm6^(EPhb|%5oH=%^%2s`sazX-g+_^w{7dJ^vOe2I%C8KJ1ID<
zsnQv?PKGtV_GAMQdH7rD;%0kD0;*N<{&mcT(7PRZw9r5f<jj0H=;lRXH}Yms!GUkP
zcy3QM8{(imF442POAr)OE=^PJk^ws%$@$?xfAce@3$ZkOP=BhqN~E6*$Yt({eg+v(
zxiK_Cm&OHi-%=HGpOYcJX=pZfKnjjre!RZS%MS12c5)n@$k68W@=ATSBowxIxI6VQ
z0(seBe~*U@_q7^jIJ_i4BjZRlj}tA#YReSt)dGyvx_KCAi9<I&9_@NZ2~muy(hocV
zvZZE`CNVMai<cjt4B102av8pU!U_-{wwjqUEevsiho0RT-9m~*6f((<2neXxc&oJv
zLTdJ{S2iBMk=^gxs~?{mz|}HGYNU%F$~dZpul`;`I$b8t#7ybKmQ_Ze=?*W%jVIGz
zcUnar239<!lGlgI;!wq^!#waUcluNG?G?nGBhg>aPY?1|mThEFE?|sra^$yIK`MX5
z#!r9L1?I~;FKy0p!h{K3n|sO%qNL=y<IkuI8iBV3V}&>%eaiiWpXn-cRQfxQwu24~
zA<t&^{<1=D-oWm!6Ke>*&6)LVsWt?}|H3CRvOwtF+-bVJb)@IPU#cZGZE$Z(d3^jd
z6R3}N$tY?3MsmdLb9XOmfylT>YteTG(Ac_!%iP*T*r<DFqIxvJriAkn?Q44IY)EyI
zo!LTmSkol~^)#V4r#htK1s%9L*)g_l?;!o;4?O+(8W16wHFdh17RJ0X%Yq1d2o5K^
zktVDGnpsOh1q511RM`ori`z$h@A<71C#%Eb{VL|#DjFClY2>!1qy(ZQyO}hLIy5BS
zdh^?l2CT*YFugiX1&Gs(z-odT7~l4PxqFNTLb5uKh80u8NxKj+Q8qOoI1X`)S<wK~
z+*+uk3@vyWQdpO!sX{0FQ#Yz08VKz634~%guwgCFZjev~;k=fIa&<Itr8H*P^&|rX
zPYx7&ydwdfqP>Kd3N6IvUzt3|$pix0nT<7OB%qx*c}%OC7A6Aes3;bhq3JCB*QH4!
z6jc8mJL63U4^vor?0>O>ul7W)LNpP4Mw9J->e55?{B+$g4F~W|eYsX7Lj;nD%({gN
z1FYz}5gOz;LA9vDuc?y&mLW>)`bLakEPA^}-GvK^IBZ+nA_*|w@%n06C=;Atdlbr6
z$_**GNu#nF1V|tB`MmRu8QTAKSZj##f|n)PuW$wrS*ZH)1P4~g_ms^_&*1|(h2++8
zUp#nIs@xZ4V28=Y(v!R<0+2O(gPP2UhgZ?jxgD1|;P;*E-EcY~2z;m`eDS>syfz=y
zP4eXgqEo|%ke|Zfalz}W+%*+2U@@w)zs&`WG0BAB1yLA}t$g>=Oa+28cZO}sx#4Ps
zPE!-3I0)=;_L-@vK<^N{{~ZcmkW-9^QNl|=Y3sv+9$gh+t(di-a^(Yp(nDr9cS&%t
z7ZP%DR)IkN(Zu`T`9V(zd$jjf3P|&PneMMu;DbRhaU@I-<evnkZ_vxY5`Em>8y-A-
z=6SNBsVWTD7sQLxd}V<lygbU}4IW%}gO+a5iUNr<oX6@14uVfv3)LU!*2g@;E4VHO
zv4guO;~ft;l|QC%se}MS_LcPHaB(oz+Y|F0SAfZ5IGZD8MBwZ)ZupQS0TW-S=i3~V
zV8WC2tJ4k<y1TP+q&!JzWQ;g5)u{}ctv)9lzmTB$+mF!GO;Yf}d``v<kB9qH<^`8(
zRKeJ`U5IH>8v3k6aT;0#@Eo@!&337Q*wY9{M{Zd#jz2zUUr&IKT!|r~)EW>sV<?iU
zjsyOLPU{#F5h$hZ57V5~gtp<LO?FE;peYL88;l?V1)`_5S*-;;1IP73Y~_LFeAn^j
z=S1)~9?1>U)qw#l5kF<70OL*{>VngVa3@u<$f!vdUOe){GYc!ih3Y>Hfi^^l9w#l5
zPV0k6vxD`!W<}6sljJ0iAMBqmy;JRk0f-gY>aZVCg8gmbp*|7;{I1yz9@IPFJ!P9o
zeyjwI^zX!(^HiW*>d1P);K4m#kz`AW61<eJWus110?rp)&QGqAp-1E5`rLgb7|<wj
zCdeqjYSBQVzyWuzMXTg*sVl+9-hy%@9tZAMz4(()8$xA=PqI&rA`CXW-8JrzhU<-X
zGyKmCAwNljb97JvM!2KBx|k(F<4k$O(MCg{ajFn{KPeA!Vh>W}ip5||Dy<g28UpL{
zN6!7291IZzlAk9D!i|J``Np+|P<JY;MmiD)nhMcqTpJJky5f5#;jtm?y(;7QD=iE4
zp-+lW-QWPtEql|pbB2)fHFe<QM`>s{8c0bS$_Q<^{u_&&hA<{X2)8qr0;RySkxNw6
zuoM+hT~SGfsb=eGo<0c(vsaYM!S5oCa`d%Xc4X+i)){4ZQ5<@$W?$^vtRV|Ti?FO!
zfOL^B$|o7bfbW6-;r@&nq-vvzf_NJs=E^?}Dkou>&6-&5NFG33l!mR22m=^C+zeY8
z7Jw)tC68v!8pL1AU%&f20+eii4(U;RU_Oz1RLZsxO`u^iF^xBXbzbszy%i6*8rx1E
zZ~BZ5Ts|ayrCcBA6xy2mk8!~*wM%IFf9>edGc3bmP7fMqqm^iaI6%swEm{-Tg_=KS
ze|Sk!53=&CPDp36LS!^yA-1IheXo#CCG4aNBVL`s64^`;#!wMI!q$pzJpW>M`GpQ_
zS#0t1|E7m+I>B}KnL4z|s*~P+K^rLe1d2S;X(3!eIOO7VDSB=m=a1=V!?}@$E|weA
z0FJ5Rx5`}*r^tchSMO?pSy4$*V-Y3z2Cntx50@bc{)Kx6vznkWcD(VVFa@mKrmqW9
zXhI-@y?@<U6VAWWmlTWKLrkWEwDw<qMegOb)jA&Zoi1r;;X9Z|TP`Iov1b6WSKp~T
z#iju@Pd*e{=x-zcMm!v^@s1(&*C6(FusXa-ZBbHq{s(y@VqNr<^c_)c>RMC#r3TU`
z_nN+0Zz93eY~zB?(}<k-^3Z^T8cbWO2OmEA8}Xp<Jl~!E6S;raclv6tD!f~z)zFOH
zK<4z1ZSM`vBjy)GPs|@zg=R-4Ihn0>gjS-7bVz9#d9a#MCf|9GtI_q*Gdb%BA$*=|
z>hLOJG7>r<Xib8OSoMf+5$lL=QaeRC^Ex6p;t=uX8xev=r@QPD){%_c#qrYP8%V+U
zt!wQrL>Rt$yw#v?9jS59uRGMdiD*|d#s#hr0N-jV^gwz8;i%_GS!mrtj?fHOWJeQV
z*LhKTvuFbu^`G+=UD!eN+Z?=&`3T^!<WZD!;Wsi`x+k7`!1v26!U^>bc<BFe+5a4}
ziC8^(;&L-{AE|#8Lf%SIf$ZlGTCW@ZK^7ek;}8)_IIpu{uGy^&4qf{8ReoDYr%-73
zhZrij86LTn!LJO>XKi?HHg6;G??m`dFwlTA6HkPts}lI~?J4D2>>{>%$nv#9TBtpl
z%y6qh5h}Ds41M<hBDcSO$fyaRhd!6{u8BN~khJ#Ir|`!=#Cvs0f!l)-D(IJmtAi9E
zuK#KB*$4_yyy_VC_$D*lH+CT1otB4xZ(HpYUQxms!%eHY9#+_TCY_vWFAoC*wVS?6
zRNy>%&-<k!2bjCyOk#)SKsI%xD$SM#T+`0{eU!invMZ<ab=>9P6UB>jN59j;-Bov8
zS4M8oN?Uu@@D~SIzIQ-$Dm@(iL$GLl!vmkrTdcWf<KW_5=citNi~vE}b9q<zpl`;J
z{<Sp@Y&R~c1O+og=J{I9?@j_Bq98bNmKO&s*k=u!QdW?frPg-}6$0BHzwm-NS-43-
zPr1y&0h?b(!++I_fVKB#q*9+Oa0kB6jCbXPx)`%!CjCQ@kr0PY56D7G7DIeYKNl?6
z-+p#|Lmb3QO)M{L%7U;n_0dTW9=KC4v=Hkm2?A!Pw(8Yz(31J^&V5ln=#>%@rCyc-
z%I^zJpVM(5<#s0F_$EJmr7;UlPmzI-xl?C4q~$=($+j_RLlB(44qRY9frI?+^5OYO
zIT+a2$<P-R0W$N)K`I$}_+`T4)OyfE#s`=s-?)lFSeJ<L8)ijlIeTL)on8^h;wvBc
zyv5;$RKlgR`$~}X?Ralz!~utQG=?`mNPx)1seH{X75ICf#c9S+1*pzUbZK!)LCzEZ
zCv*M;*cx%hyD1YuZsJpeT8K0(ZGOMu?@oj;MTeKd2PZ#YZYuYp3{YLTVf)yG1Y?=i
z1)l9BFuGpc`JXEe3ha>|b&RTDu4eJ??gce)kt!v*4#`15P_2r}YgKrxR%D+gs{w(b
zj3Q#D3gFW#DCf$n235$e%N(Z`?2A2`Ir&TxJV+EK6sBr0^;0rDTvP{0Dt=Se-<04_
zRi8&SUJa}sGZs$j>%l#Wisr(f%0Msdh7`A|g6Vsbv5u<&SPrS|PS&dc|BSTpQ!Z7w
zjRt01K>$uAMgAw}h=-$t_*z;960F@@2|K1whSp&r7N-(CoDz6(Wulk>V=Eocxg-st
z`9WmvQYjv8^F&VZ6IFmXq^Tn?Z3sTZVYl!Lco-=OmgIh>0QoPkpHGW4f{VJ<suwX8
z*y1jq-s+HrDmL_$&7u*=B(*CvcPPW?wwRg6f+U>Id&tkNYz#dH2Le1)f=an*>j<3#
zj!FOUa|2_bJ!wDIA+87^CD|-ebo?-ww)@IT(HH`Um$)ZF<RJ=;Rgd!Jfc0($h2(W3
zIA%rT;!=Wxr;hUSc|=-xG`ZK(k!1w$CF{yheU$;pMFR7J#ev^E7cLmlFoJ;6F#h=&
zDOea$)gNc?N6x+bzAcU#f_uirF^WA2D5I~PB5O~eM?T5;5)2H%<DHISy@)ti(z_>D
z53Zq0X~StxE6BiB$5<tjAp!*qyvN&^cG17D9=p#I$uRQC7Mqe6gn?(57(;JUU<_YN
z9SaWncsMKbeEuRYa1#oZ5_71q*tg`YbOnF}zp~3_^ITxkU%0JIO@lS=&;N@#g8+XH
zJC~>o2L#>ZPf7nugEfz5R|H)&fS%Eq7#2-t2v=VHGfAMuYTb(ug+%JZSaq9v+7miR
z#^r4+7|>#EzmmQMKi7kj&w6)h{iuLe5OK-mp~YOia+XBebwTo859yQh9ughJCvV+I
zgU#-h(2Y^*LjD~?cj|&oq(8}Z^NK4CCi4+@Oa{>bmw(<XM+#PuI_<R&|8}Xd$?wj`
z?P9gTaTLeWlrw{*9HI7-N~gxU|0y;9=+Xj;;OaO$VF)?;aZaO5pBnR`h!!MEYXM&@
z=ff}7bx7FS=N|>Xsj#w~BfVSUnjp6Oe0C72K($+wmBZ?(FuM5bXJ3qJfUQhkep_V^
zS{XMQ8Tf_@^O~qW|I<(dre2i}OVUrE{{sL3|Nj)1cRbbKAIE(u*_&%~jcZ)nb#0$F
zLWMMlY(<5JLP$~xp`lVCg^)cm3aR@}TZBlFM8nD`d)CkI-}iYu&f~n#d7szo`8t-I
zXv15|jDC&#-bR(`!J>yyOI!9&#y7gwZh;nNoNZYRq)6!j5m$3a;N>VIZd=QAA14cL
zJmGu2;tCB$mS(~vlO`D)pJTd{0$7lg&ii|Yg9dr|(Y(qmQw&N@M>qQ@3$iFhg?~7&
z3*B)itjiT=7**@@S%{={Sgp!nm~iTXz=|`)kUqy?64ARP>98IhcC;Unx~c=GnHMBA
zOcxkOb2Gdv=&X3<uZqwyDIMULTH^7sSYq_O&|K27+<-xUa}-TWwIRk{_Z7u{h0)72
z>LPHQ4Fk&BToTN+!K7w#^`P%x#)_Vq%TgOVUYm~A2<XuQA;<4F2W*(I_yvCLapJ@y
z1yQe7!n8oZ(0B80|NpQ#=zz!=D>sI<j;$UL*8+xV9t-6bGtz#W6ju!L;O=VO<QFlT
zaEG;K`s-H~bZimeU5@0#XOev#&R;Yjtxu@<y3u-+i5~JDxx<fX4yWg+78+oD+u{B0
zGFEg+-j~((MF7oi@4v=gr4D(G&cmC`*l=UfR`rucLMVH)-SC^1I@D&noxM2Dj+UQ_
z<69pHqh{@)=N}u?fGwt^VGn~7b<W&7`Ph+!dUWkrOBXdL4tyFS^pG2K9=>EU5fQ_d
zrw8H5IyG<%eEnkOBQM7JJS*2-6-Q%-3j@l}sgT?#&%+Sl$KQ0jkN%ue=*xDyz9y9l
zZF<bHC$|gWsY8=>do5&egH`&{pL0}5zhdFvS15=tuhX7owaa2q-Dvx}Br34ZE!Txh
z31f>wR;dk14#ldBLkcUXpjsi)*H9{glgbf0)*q9{a*K~Ix6M;wTEKSjr<*8>R!%Fb
z4=7-;;x66|zG~q4fkOSNERMV>(hlx>DcEW3;1#v31_1$&f)s=$QP_j#Z!@Qam95oH
zFB;Xs{i@2BbXjTSWwf@QxuJr|*L)uvFf_m-^|zL`qAb>jlt%zT#eiT*sm*hmz>)lA
z&|wo9y?$32OOC1`d+2V+exL<)Dk09Y;c{5JB>b%Vk_HBd)54FZXhWdL_zRCpdHgxE
z-ad<83*+nW>`l0#1IDBDfZ=HcoDAk3jcd_DN6r(o(~ot*>GIa}LIVoUOuU(A3(-b>
z-;ILB9D1;sI%jw~QVHK&=00P!s*Rq8-uEOU>5xo&rf&Q|8QC+ZLw|bfplE02u2xP1
zfDiGO1p_L`-Y$AS?S>9U1ufqacxVU?=X~Eio>j$1QQkw1YxNXmefIYu#t?JpdD{08
zDmrL|-7s|1!N7s$z$_zE81G#Qcdt=HZovsExnCRiomsuXwPFT-w|Vb0JE$XhlFd0^
zK^w2fX$R#x0XU>u7rei(j-PYKLK3N3cwKT3d8N#u()RAwoDb^wN^_6q`8joLNSXY6
zvBew~iR(ev9;#zTeRJ;_V=C(PKDO}ku>d>!!hy(L>e%?POmH)yjMS!kTdg}SVAbB-
zeXvRmD=#~BdrK?gw4TQBH+f4qo@8#g+(E@7i9r>!vt%s${7<37!4h7N1}$knR>db?
zhm6Y`rSQtjV>_?!wuCN+$CYhiDmbj|9@I2R!jcBg3ED<WNDt0&vFBDsH7@N^=bHkU
zojVcvLC_NFME2jh7f-=Yjb9#b&*8+)8+gTZS}cIXQ~vAKZw2HUW;siBX2Hd5U3E&R
z1q2s`ZrZRz9(ii3_Qqu{Fh1|`x@pg60Vjp`_dc&8<Gqnv?J^vrjEs=QUyXOoVavwb
z<{DD6I9zv-e=((nA?B=<v#e<jS#!r{H!4eE!Fyg&#~aOrc|_#7$MpaiXLelnF%n1R
z=#$qZB)$=zm6InZRshx)uIKIwBcYR=<kr(HqeSM5q^#&{0#Z7vi!Xi`LSBw#Hlsb0
zM9b-fYW2rvP|hP)a`ub>stsIH+UN3zI47I3ue8q;VvcBD64}9r?9(K+G4&}T-<it^
zSxo_QyaO18T=@6yh2<&lDWZn^aeITF32eTVWIe*ij?pnr>G#E^2=DSIC&~kj;elPk
zdG`<NQTFSs#r=ps#HDMmtU?Qnz{xeC{^=iP^oogE*_ZK~D3oD-|L&I|ysuG|CV4Yq
zprhPki{>QpZT(x>!+M6WM>^v9vhE5)`o4XM>GBv+`8R*y-#G*Dm3bO9p}oK`n(R6v
z_+XT1`L@$fyGI{B*}G0tN@p1L8=O9tg$xs#xt?;>G=0dBn0up=_J=WWqN{nG^&m0X
z{WG3Op~LT_40rj?amK?;szyHT2T{oDRDNYa4?fKXR{5xmFp?dY=><052uu2Qmm@xU
zz`k`$=N74-3@<OXXKpe5L}IvbWX?Mp^s~*^z04S3bRIbMbgJVEvGZzZ-d}<S1~;BS
zkJ=Z8M^KiM)j|(3w6AF6t{PoXaM7kL&wOMw=XHi>ANxeu^DX_3(a?q7!^wHKLpvCA
zJn^$`&_$#_Re9xGtOExXr)T<ATN%vEtFE;kodo;8m=B+*I#7JU&Hqc}Yeq-`<Js<)
z?+IZy`#X*0+HlvuY{c$CBg5c8<*BsLcEV(XTsf=0Hn6?xkDfpDh#?*ij&Jt05#P@G
z+a^8Lf?A`x@BNP}8LUmW=}oGw#0vj$B?AX7C}Qs1_`~)d<78>*(4nOkB7pz&-Z6$I
zbhcgkH`aZHaonP6VSv^`yn2+<>N%tVGa1T@KXb!~M^n36qdJ<2u05*<ZVPF^^}J(T
z<{NJjQbX)LciWnYmola$(KhNJl;)GR;FeDiOdMfNN-czZU~o!bv>JR(-fI=CUO^-s
zqbFbd&_b*fH=j&-OoeJe{`u4c)kJmTW$A*C?}#THk?c`SRG6#MO6v)&B}%eM>QN$V
zeOXnBgl<xW;cnq82mBid*Rv95o{zQ>?g^JlT(7IZgV{2t_o_&QT+E&{8)+v9*f7sE
zqzoZ--`71;Y$SF#Zmt#*>>v{KE}0)RRR$cFU4KITIl(p~FV7OtNwkYh&F)TB0#2jY
z2NyQKBr^F0bG?3lATndm->IFaz_m>Wqg>9sCX~2!lq3s363#}ozXIJTAW_$Rl+xQo
zl<M(pYPs1>aB%57c6p`<&kptfXYbQO6x=FtsKn2NQKplopQa*I=04+6=4vB&7PnY1
zl=}#kf}qmyOa*X!L03P0uASf%J8`u$pr0^%#$Z1wr~s+Md~?lG9R#!2znx2i1BA#+
zmyF#>@{q-HtLkWPCvkM)Z)MDd??i`naKI|7JcNclD5bpUBGkXh%-;6;NyMl0J3Gb6
zfv#<682gt`MEW{Kw-w(ZLi)vw?{;=MIHy_3UZ(PyNUYgp{xf@oaGxw*{(hMZ|8`S{
zwC;Z)I-zbAB*%!sP0<d_;$&Dqmb6jPw4dNB`jJ`GGeI09t9Rz+%R(Y9spz~MAd2`7
zyP8k^CLC|pw7oKrg-*YWqK{$U3Bi-y;>_7oMAS_l)lca%aN$)^?44adiQ3No0rgWe
z#8gj3wdPxCFf*AoxwwCbn7dI}*neq`2zvNmMLDxHw1(gKNv{|o7T>68Hho$kta!S$
z&zMU=BE7)#Eq#m_d+WQ)bk8y&{^T$8$4kN~mlqr=%#*~0*mGT=^OrD^H2WsgB?0#o
zHVZ6p{UO@!dSBXBzy#G&_QK_A5<sdB`D*)Yim2^3&irpLGZ<!d&P!hqhjlLHMvVnC
zgtOJu?iKrW;JI>Xo9e6>9HM;pN^YDZP9`^1B^+i2iyH0sPY#H|(hh&`NRdV209>s)
z*~A9=Ic=eA!=jM<rZVei(J~Q`b}_~H04E3sT=$F)5rw1Y%L;qr{t|=3i9xTn^1vs0
zRr3O`D0Fsv9uw?lg4gM<O8Oi5;3{`o{i6mFJpNX&y&#<#3eVjusYw(7^4ISjX;CDg
zQwpDdzOW8v3j@-&#|Xh>TtpoAE)s}T8^^t=W`)hkTFd_TMZn5FYR+Q|2|NX@#8yb`
zAR@h4Z(K|avTV0sf8#|0FGs)s0vkBtC<ot(Ur!~VFuZT}VFn2@jD~Lp7w~|93)8}}
zGHJ-C=a8q_MBz(fmVn<MJ~*cp>#RN{3v7zOGh8YP`?zQVT6F^8qE{ubTqOseROt0%
zH^d;-V|#~Gxe&ab-yY<2M*+Urq*tDA7ymy;x!vv(fq>tdIhvIe=x;sFRewkl4%hSQ
z_UVX$W88s{?vu*k2Y>q2PD#T-U9}A<FD0NyLu0F;BNc{MPX186APc_SlC->Q(h&P7
zE7hS_9kOEx6E#&ia9yrq^KOxa=fgpHNuUK%EVZ`w6a|PLzWKuckR0sxU;VG`mNvwR
zd!`?}M1h~;uH7_c1(1%q6hm9k0qLXPgKdITK-uAKeDIPYl$;(N)3&97>ux7;<4<bv
z-)j@S-aaMp+02gW@p|CzsCkyLUkkMOZp1!qQGuB9h}9#v=n!BlSTIte0}tX2-5VOH
zuySnhV0?%^2%MBW;$^4@@*HyI(Rb8gdw}A3+f{w=^Uu$BT5kXx>1U>=_h>@oSrd&+
zSp(SP8_-2(HU^dqg@e73S`Z)GFg5d5AGECDEsMArw7;79eMLbV297>zcAcU_{n0n6
z12+K#3R8u@W@|&<)=uSw%X*OUAeEzZjc4f3ioWyz(grzK-FLc0x<JpK=RNFa2?C9U
z=gur@gK(K|YOA9*>^*q4^myz>;7fdHeB_NbM6{8^&bz2XckTYB;=NW7ZF&0NO;>I3
zWtVT0EmVRelFzj3f)(7K@Hx7(LJO{t--k*LlVPsq!9^JhYY0z^vpIZM6O6+Dk%sF;
zL1iUwD9g$k<U{FQc^A|nW_mtTeFHaaW&iJy9hWsQW>Z4;(5O(BHqkXZJ4^6X)I^8h
zwE|UwMJc0P88~Dr<i~;r7+dA69tR3rK~z8YK`%iHlv#Fl?;2;qoeC0TkB@GIT$2`=
zuw(L&P#@sH^qB+8R@1$q(GmnB!Ywj;WnuDi<)={^KSn>avN^$P3GOX#6Am;;0#C1q
zrPzWX79IZlF5Sxll3xAmI>#gmd!|yupZ*ZWV}ELNYaf_{<eOdZ3a$vkV!!mKRtgCt
zx9o_bk<3A-KEdzOI1k*3Ykt-LlZ2mBqKj3}0{k|hH{1JdfamLXaEfmfMc;?7*5yqS
zz)Sm5o0Gr<uNFUz{_zmSTSaz6-lQ3Xf4TRrq;Q7tZH#g{w?z~aWW>5wnazOf=Q2fU
z{u{9~hP6;rQWPKmkQe1pHU%y52Uo}svKg}WQSY`4kZ|$h4?Q6d6R50YmK+fI&Uo0y
zYu24h!o>e1<W6K61Dji^v|;KW21~|Fg~kyQ_H~`NZTxKnCZW&nw7y$ls0S*RowO!l
zsh6L7o}Ce_HVrBs+x(AFz-PI#Nt1*kc2g64Rfgbt#kjgCnHkL)nz8THNcipb3O7aG
z5W3}jKPc(1$D_@cY;4U*c&5(qxL$?<boq6Ycjj!sx!)C9W`{{Q+2`@CUdjNJJ(~Sa
zd}YVuya^X?R+G?X--4z~zCKiL(m5(P%ZVeC#s~U@L@{YLzq8FiA2?b&A{b-bc=3<H
zGrP;8I63#LfBkzpXk2oBv*R5vUfU^R`9od|Ga731r;gD<$#3M;kv2Z;Fg<<l<a;r6
zDE-b}BteHZmVM@4HT)Q}peWp&E{+~IUOPE9>p{JpuUK2E09M<QTMnL-z>*^`@2bb@
zLE{a7#m!NI7-oD%wD-6qs<BNZp0n122iKdJS^b32X^MP1EI|r=<{HU$e0tzS>MvT_
zE{uCe7B3yIlE%wgq;)1g)^uf;x=NRo2zI`;nfW>`gCnCP*NabS(Bby{FN*~UA4xHD
zFmh$Fx>_sSxR3^7ubKHvY(!Dc+4bK3-DI2;_Tc??iv~>llR57@i=ny0(6%KJIrKK(
z;6X{J!A^(U%B9D|@y0cAx<juVN@%G(smY~*qXxJ4c&Y?8)}8*boG*{>=LcJ%fd;eX
zzjy<iB(X1=+P*1V0mr%H%#IJxprYim&2v_1^v;U~C0j)d<1iUr7Se<JYym4e_A+Q4
zKI5(|O~Jgv<=y+7_2BendXxE9S!AWYK6!kCg5i8m-8BmJpzx|vdF-Mrc3zHp-(IVP
z6YW`Dxg2x|pN9d5d@>qkh0I=wP{wbprw4wl<>hzMeK%}&t>yG{74J*cR8VEFXU_8#
zI%rKPguYuRk4}!%8*f`w@bDsc?28Nf5XY&J%XD8JpE-t&?RHT`=`R;vucI13Z&c*V
zhb{`JaNywis#mHQr77Q~-emy$Z(1c?SyVvUUTz_K5*1BJyn{zB7{Y%>q2Wu(irBB#
zl|E)c#hKS~{o%GoFywZ9hp8k551b7bAGW5VT+^1VVSL6go86&%GnIn$YJac&vQ+Ge
zo?BJ;WDM8pRsT4!C}I51hhK79RIyWKzsu)4CLm-hH~3+<60Wa(A}hOf4QO?}uH5%F
zg?4k3s?TXkDBE&^t?jM~)|TAQ%n>t#FRBKAL!T<)zrmh6)OX5A>(?t{yfB0QiMDZi
zs}gRvD_T<OR6^Zg_I<m22<UpA$86Q8gigv44np-5-2CAipXvw!|Jjh`1Jjkztg$H7
zJx&oTSS#yn)d6-qw9}DwQNsDZnpJdAzyp*mem%PZpvm1Xc7=lbz6)M4pOizLLY}wx
zBLMc82bZ`eP>?M%{g=!wGUkfQOch=Lcwfb>I>to7;D%BeQCnG*JFpE`uCDD9c6a@}
zpCWpH0>2neX*_#bHNog2z>P{~>!e2tc-UNY=f!LZlv`I#H#!NBpb;SdYn=lA;V*h0
z<|Bro4_Q`OeE_C!8H@y2$>S;SiBj?o5}Nluh;K0gSo~+;v-7kZ9zEpOsuV7a6RLY`
zoA>}u>|)>jx|WPSGIC_TE<tSC+vXqAK!AMYb(88pvZ&OsVt?VF0B#nE?9Z?xz=G_i
zQKv486IWaIHyQC`OXL{0O{W>uPlxe2^hsmb&C3Z*W_;N2-+TWsCo}lB^K9nS5h={K
zIa%TRiwB>K`%5gen?g&&vyL1=Ni+{MDblIs#^0vi@11Q;p=5ne2y?SI>f-#D>%Ck^
zas9_K)@TB%Od*8=x5V(5wRZ2~HZGJcz8L($&;;xbj`rD}6-AI+XEwvlg?$n<A=dlG
zz`3~CRCtzzTcpC7&v9{~ba}@)8x>>Fky+>RBtrzx*I>M<H5ZP>dZn4?7y(&tDd}08
zFiMY8HTKnTVY^7dwbL?2pvdv%L5Z|5`pcF*V|L=kcWL7tC+-+RZPN2VdYllNe5U7q
zmgT|ILgGW$WewrVvCf$pRw2w0zCw-==Ec#ntZ~(Q1`wD2UBo9#5RDbW)wxCaa8P$(
zZ=$9F<XP<!{=Quhk^7L0<3m2&d7RthUxPlB<QFe}78gX-qju{%_VeRjC2y<uTlHa8
zs!+dlNdP@E?o0Ej2%v^AnA`rOLx==#)sx?A^_@;TTGrMBkJOk}pQgi$+hO}-Rs>LK
z*!s`kUO{BND)-!#Ob7LO_tKM6f=IR?+cvfep|>GR)|FR!z`9ex-ejjBO6#5Hb?jK1
z6T@Dg%3wX{Y34cVcUusXoBI4%hea^*bKy&AiXP1WsZ1zY7R0K5p(%8pHJ=S;*<kUN
z1`8gE+Fgf)@Jj{zItyzt)O`1v>uM$q`WLPX*GvoHq_^DO6UpM3PwY)d-cN(Cdn3M4
zE(&8skXXLxxCHjx*)s4}p9Z?;c{TZrMDUDH**y(+DGbp*{P`;%4OF{dIXf?jp!{ek
z_suWT_+gvTO6asMe2lzd*w;cr!?NbuqXx2A@l)}jRlhE{Cta*PQ7wvls~u>$9AuOd
z=QS7jqzj6ol)vMpVwkXc_3g7CWR#H(TPXgl3w9s+JbUWIQES`O)UOwEn8$W_X!MsZ
z4Brp<`tYL!PA<QeA1ska^4?PS5_TH2N|k%RVwJ)&vdf5Mssg%XhfrJeXi()jn7qzf
z8jEjpYG003M5oMMj&et7@J3*&UnE5aV|QjgdVY+8Mpw!4N7nr1MzZ-#R+udA6B+1v
z?yiLC_eVCniR!Jrm(zHWDj6S*axC+KGUimRR(P-Z>`2GJ@wNdnl8>jo$Q4z=Q`<-{
zpRmw@&7S?}(OYsDb|GqLbwC9#tNE_qca09cA9Q){I?3Z)!{Idbo2r=Gbg$-zu0A{x
z+_GMUM**+x*Xo<qp<=faWyj7R`ru)+>T;%00b6Q(eomKDQP}6}LyH^(c$I3C*MCG2
z2mF&cKe4Hy^SF&s*<nM-;r;i@LXd*CHqFsR25NYamrG>E(g-ReNnw$N6fAxkUn^#;
zhT@0rH+9JvL)IYAsJ*5V8a6z9+QOxVL&A@4Cj2#qcbXB3iP=h6yX%QZT`?7NKkm5s
z=CcVT`#3ggtSaHimQ)|_H9z{it*4Tu$`l@-X}7&dC}V1<sSL+<Rb;r{=8B6pgJ{|2
zoWuK+(W%Yy^hY-pWJKO6turBDCRZ(x7Nm?So3gtem?&d$SVWH3AOQyUza3`Wl+j8}
z)KGVcf=9}X+x*t_)4`<eSfYwDuEq%eCTA#OFPvRS3<n5)@7a;nt%P=Yx2Sql1@yAC
zE6=<KaQK7hi=snH2>K^iPgTfaeV<A``6WQeL|#Sb5C!jcDy06QkuiSPMjy_P08{I$
zZjWrC;GRT5zm799m~oS+Y3c^}n{39Uovw(2DWz9#J(R@EfhumTR)Cy065njP70`;B
zoqd%gj=VEcjV`qS>Y|=y3!Dmg>+Iu0_QfRJ*m=wJ<_&<*p~QPaba~X)Q}}){LKqWG
z>cZRt*X%3CCt|ys9QF-fF7=HQ#K_HFFV-*<GJaTAsYR2~ao%Mzyn`RdpAXigudLl$
zk^9VtHQwrc9lzy(Hy_rHvuuewML^KZZ)3P4gI(LSuKDib!94>>{~cQ}18Yr9#VICf
z<hvj9e3K6s62FQ*Bpft@jvvRv-i1oyd|Z=RR5u6yW0xE)>oo=P1*>!tlLXp2(vkFl
z9laBnk40=Tg~kcL?c48);Un@d%dT-YJh8XspXoyrsLd(9v)xk^n{94ix*EoYLBT=a
zgcM9bew$6JqaF!Q#JqG)-NJ@T_XduCyJ8Hy#?3;4$|BhIN78%1lMTnq74CTbXABS2
zioLq%!kATc<f?Hg8`kV$Y9<F8!8N|WF_(RW@bhx%aSu&)tovc?c6Z1S3O39ykK_yD
zwNPKC@iiV-aOGjL@>=8kT_Qam?1H$-Tz}KadJeSItlH+$v-V%I(#nZg0VMQI)S@48
zqMO;(Al=;tz*#uH{hhb~9*=r!Y|_t#|MXnvHuUPlP(ymG*&BXb*m?a$J%tC^Ub9n4
zd-Y-JV0-@a%ls&@U(=`jA}^ZSDL=h6L5JOa;*lAL`0;QM&mY}HKIC2aMQ%SuhcjZ^
z%z5|l<KH(axo#f($ncy9m=&ah;iA#j@PquASvUVL2m~--LQ&VYY)$`tEKD|C;K$tN
zIQ<v8f;jG#ry{Xc5AINuhgqNU<D6vm&^vu0{MhK5Q8P`0_18Y{aO4nJ<ACxoS$koO
zxUcdjcunWGn3<g!-Y<aH)+t+fhKS(br4u6c+i4JU;iLc6ZUMYw{L+F}MnX!r)x<mp
z4F*-^7xcUYku&A)@|I;$e6ZE3yy&ei6lWJIyjjbcjmi@y#_r;1;VZ7^nW77)0`G}#
zyC;M`57UmFZkNEENCE9KzcqdC9Jl?nUl<2JjEefZNujT63dII=;dt|*bH_|Y@W~(5
z<#kKa*mv)f@Q{KoOuoI4N>w7E%E+yd^Sfm6(b9`j4<TLPi%V)}Q53~XzYo8kG$iA?
zFH!H4cy-}U;>epHbTQ;svYXAM$gTBv!*CBt7mSM+?p<FyUs&z)kL42b$kkfY+NY)q
zFtKvI^tuEtG5t8zMN+^c&rV!o+pY^g7h>bi4M<|oJWr0Rm?8?B{`DL=rwec5PwC4M
z(%2UG(S~^~FC1VR%Zz=a3vT(wAE>1=_~VA%4i<SOy!!gdNSh1|;)eVkhErtGVq0q3
zoPsh=M8rSNJWqo?iwtGAwfu8W;h%4-j0)P33w~c;rw0{((+q;;<S?f`2)lVyakq2m
zFn@|3r0%B8dQQmU?83>Tjbo~qXSP91Sf36K=M^J<*URHFi~qUeDk|o8v^S`Z(}C~C
z=9=_a1yqF=vuz$~sO3R&+ghU!cE-1rgV*v;-MDg^(RVd8csk+RdC>rbIV}ztvQzN<
zOfU~8p^laA2YZ}D3}G_d;f~)U3WhR=$F>KkV|ZqPUxl9$L|f;)HS<)$#X|wU!9MDE
z_NHR^jE6BCurK(xFs_8rJbzx1WYqEPBklM^7ZYf`M*ZHirt{-NNj;ad)o?Db!`pV7
zDMXwO{&V1kGB&o_ij@yj(YmzcK@DLBtV?sH*H~5XW<B+O+?*=@4*&rF{}h;aJlEeB
z$L+oMULSjYKKA~c4-J`-id3W|5<)6eWTm8qWMrkKlu<_CdLKohh*VTYh$Lk1@$>ul
zJnrK>?&IA1cs=j)9*)zyN|vWW?j>LIK@~NOvON0m)JHWuP$^fn`yUko+5;#LH|qCW
zKEz2zsA366&FLZ+faN>w{`|~p=&e=$ZFEf;)BfoE7nuuSeNTBe6;*NZ-Mwp_zDh{y
z_;LL~7l6@k!>ulRR8f_MxjBy@A&JM`hQ>~VEH`21-CtC2s{x;j5x)ZRGToS*Qlvo`
zD^a1XuYz>z0fLggayY&vjgN&)1MAeK{38*{Xl@!(m6j%rvgO9BTQz84W*gcp_(%y8
zY;E3^UywlA@7XL<qBPj#?vRt*tcZ&C9fo@<MDb^p{p!Ve0B>P8M!NwL2A|7)@kU-4
z*A{bo-@OOu+da`-F}bl1N4>VPuL5YhT=qFI9e|m8x_53x9-~$DbY6eq!|@BZo?E&D
z42NDAA7Yco)4pBGl@>fWtS#x?B@D3j%(U~km>i}_3Tei9aw2uYLMAzj3ZEAxRhB(v
zaQ~kc7GP(`xBM?oWH3=dMYbxMH(v@XTdX6*D6BZgp>|xx&l0vbhC8t>N}$Z<rslQx
z%-AzHpGx=M0-iW3^N;w8qqoJeLBAFzTq-Eq)}&zpL&Z-62Np!JnSs%CT$2gY%)|ey
zPBw?+c7yLecSLYzXldqg7bD&rd%*mD+zjMXrtKh57#)%v{uZ?}V#j**(Kjv|b#{60
znq5M;n`_0jn~e!GVvenwRhvT4{j*sm`vkGHgx~RO7!#JBdn;S4U<%WLdhZL)3t*el
zx4JG~W;_whQW0>)1lr3FoA%W4qo&is%iu4}$QniyX<RpkJz+gMXGr|`Z|2X+J7mGb
z?1J@6p~f(f^t~Y_hYwf1<+p^iu;Tu~+YEZ6Mj%vwRkxqQhr9QyJseqP!|yZsmvfF7
z0Z+MghbqB~O%A7SpWDiTwsCX$2mcsCn&svM9Xnp6in~afJ>^95+Jt{epdlz9_AFdr
z=Ea-O`QzRjaO1Upaqb5T29O>_xVDY)VC3pT-LXy{<hrWkdp^+s9DJXwn$h#3jPOaH
z0DC?>JMrpHpriq)b&hw=TJqwdQ6YI@bAGJ;bGY(;g+AyA4_GY~@uI5d8SN1>0ZjW%
zdKbDwAC`XG(Y==7L&bPexwrO$=vUWJB(<OihIBff3E_NLHs)!Y9VCP;U&b7k3-qAn
zL07oa5Fe5q*V}@Mgz;YB@8e;vdZ2XJk@Kb>KL%SqP_q3ef@UgbC6~GMpl5Kld6Z57
z)zgR0k{!ixuW+}UK(j75G)Mk(d?bJkC#{!6--u(>cgb<bG+j8XSo2~2s33;#>TB+B
zl*A^(8!K*ybzvl?CPN#9kQpsy#HXY%{_&xtG0=sReJejeO&AL)D`VD=WiZBO;B~K(
zF3<}-&xlYF!K3yMUG+f@>+hcL6c^Ej=HiwvDKk;D?u{6~ZXl06NB67e2<U>Vk9&g4
zAu$xW{di!Lp#paJIK{<C=|XWt*1AHWIA*o@emO}ap@!pD=4pLhuqWDHdCyCrTwh_z
z=uSm6^YEr>@6(0t>=B3ay`=Dj#3FnDaV3;(YiEy0*M%j{)M()zX>^)hxV(N{8D|bm
z1j_X5f_EdsT6~}^7Vod(r9M|dKVNG}H<})ho1&-1F34fr_tM;N9je&%XX)kEXL?|%
zJ#^l~OCH6<TU?B%)o|N8t%)v6eQ4CS^og=mK&9hlpGFxp&{vM<{C_?AAP_8>87D`=
zn_mZyKBLpb^((Y^g){@W^XP*hCzB%njL;ptI;e@=y#C^~2R80u$$+@dkRrPEg&iMy
zpoQP;oBMODjo@EefqcdrC0w7L@~q#ijqM{$(v!x<5cX+hE-FJA7hf|ZTb63$`PF<o
z4yp<0)d$a%d#T_}pXB<lzqB#r5w9QB#S|t}{IZ)xRk8JsN&@$HZHyOR`TX~o8OThx
zOPW@zV*GH$t?^6R`0F}Xd+bI&^owNip9VEtuwyLFo7Y02rlSMIJqr*lcRJ_%Kn?qU
z>CyK}X<=#B{)<1WEWxlOz<_5$4So83g6-Bcus1;}gteLqy1i$LtNGRO&*0y}#C&x$
z$!9(EaXUcaVDIi7T<WN8Jvhk0tA?NHM@7A#1GM*lyt2@vhCi%&>&u)~@bU#Or!O2d
z`1#!Z_i~aNnsCsXMZ=Y_ca&>as67o@e*5+R=21gxZJTFx5(zs(L_Rn~&_GGt(<&fX
z6-lJ5M2Sp!RNt|m!77yorkSUEjmlKeX@Ob)tFJ6ZC;G<z&7?u_WV+3pPG#IR^`HL3
zI!WAfKjL-b6&k2kH;nNAQNnD=?ORs&is5Bey{3<$G@$QZ;|?BHL~pz%onk4BTTcB>
zYTmZdpK>xuuZx8H;^`Ythiv5Et8kt&K^nZH7aoaiRKSb*YQkL0y!c7O>%-G_fVLeD
zx?0cV@o}=inf<k#D19;SO8+H*FTXsVoh{tp1<g&oMvn~*UEc6fECEuE9Wn?Y%i;lv
z&C)j8nDJuL?$>FZRET^WvoNA5ja4-7+jMgb807wb-CSp5{>p3^Pm{#tMPBbY4SHm_
zcWM0Dc}v*2Q*K^5L>v!I9vAsqwN4bp+vW^^wgAIY|6S*6MUjbj{J7)fDj_lKe$iFM
z0*)!Z^}kFJ!4Lk$F1mv&gvGNA4Y^2jU|6|zcIz7<{8d|M7Zb5Uh&A0VS8X$cXZv0D
zv!4{ioBP#z`fjZdT=UkweClTKU|YN7ZF>RaXgP3XKzo&lYG{>oOfUuY@n6Z_*8G^K
zwP}t=b&V*w_qs-J$OQ8JdS4yb!-whhE`eXd*9o<;BU&rlOdu%GXz_;}FNRrP4lPfl
z!)wt`j<uE=14C@)t$+q@Wae<uuneO|R!O(kW@%&C9y-fddY=n#pJleVe1-w9jO4|0
zq!_`#)T-vsSDg50P9#_@pAr8qjdI;$FoMr&4>oOL<HY-S&Kk#dGa=YGeZLrK2-RZC
z=N-;-;KftgjbA7%SPr>|rZ#xt#~_lJr_O;-__?oe-DX9ByB`~WMHoQ%mmgDd>+Co}
zE!kPDz>Zm~RoapC2B6|0|8rrL9dZ9N;cDbSn$q%od$K;%u=BmhQR2XYh4<!<Pjg}P
z8S1p4v_71@cyIAj*v2|OcS%nt9?UzsdfvB853Ze05-c9!K>j4VxMg`hjHz$@&gh^A
zikkdvi3yxo`}my4geE`UWS`%qI;IP2BbSPWY&Pa#>&)A`O#nZN=FH39*vNDDoxOHC
z+~}VhprREah(R~1nXIY0kS&$+#^0O=JsNJ5IuJrwzNr9VK%T#(XJL{8xAXq}m<Zy<
zP`4D%Y6%e>*mY~Ux|jlr93SKDefZF0<(K{7Wl{9^iQo}9Mgb+Bw-OJO`LRN;u+K<B
z9GA9vZZ9yTKzz!WWY!8lj%~I#T1E+M{(ZEY#7=>*3a4P=w*Xc&c<i)~l|t#dK_34>
zGQ0?yApbWkh%MRLmsz}JuxIkelS3cK@cD|ayD^<G%9X#8_@XU`d*lbc%M)ZM`mA=V
zO<M$yk^Gos&E)YNJCFItS7h*Q*)__0LKKx#7$9w@0?GyM+f%dA$8aU&`mS~{JT<!D
zo_L0YeX~1*oJPo?bcf3EX`2M9+PvKLu2d0C%joq)#3^tpqwa-wrzE!S+1h$}LJ1|)
z1Ai9pp+G^*0qMB2(&%tpv&zFr1&tgqz4|Eyc2SvJ$!4;6QvDX!kMpXiGdD#V+TdNw
zRd#2u1UYQpM=ih>H4MMsVD&mr7Z`s(sPZ`_k1MIenq|To7%%J>T4JFGUQsRObRi08
zME=*K@2rXEN_dB>XY?S}H@2VoI0+-eMYSHD)<Qu?A|v9hJ{-)lxLp~di23%an-3&t
zqiFC#Y;TzX?6a<V@gh_SgV~sj>yGIlOAQgeUS$Z9XTNEQ1uJ91L_tBj02#;TZ9Ip+
z8o^B!+CGzmDmdN5;n?d;MwP+w)i8DwXte%sjmbt874MJ&q=U%Fd@aM5Y;Ouxdlnxr
zi>YDh`R)4FhspSyXROlcmKl_LUk>tbRl_}zA)1`}WZb6J^|$elIk+o2h87=DN6F_G
z{un>j!HD#tTQ>|Wq4`UsRA`qvc5Q$Dw?0c7o4#xHtcOw|U4pTRq@sZfVcv(Y8)@N=
z0s9|vjsUaCJ2T`qYoMD2-Gk%{8hH2qFG2c^ycOELuqdprfw52ej|OL|;S*cYA1j+^
zutzOGKxbMV52>qG2}G%&%w1I{^L!c<Z2EqR9IKAs#A(I5EtPQJlPju&gEXjgFR}_7
zQo}=PA0%g{6p-4#Nk~t?3TU1W-QUTnVSJu|y>hV}Dq_xJsInE5k(`}0ja1RU(=1$m
zObTCKns*){S;6Gw0{N1T3SJ92zO$@O49hP)Xv^ZV0-Hdc>fL<G82^Gn*>X|{ITWWk
zga<ZwR7C7G`l*PSS~s#YqWSSW{{sPyhcuA7cWTd*A`(8W=-%Bv!-a~%aSg8z(ZFON
z>dw!@3ixuhX05)K6^+W6Mhb*!;5FRx(N#?zT|zy}P9J1MJkjB@g8-11{_j-vfGqkJ
z8I79etP@)-vwheP0o2c?2CiR_M*qS)({V$K1iAR&a4s`|En~d)q>Ut|)HoU@o|z?L
z`g|gE?5MCUcKvvysyK2T+gAU?bc#4a7TsZS(Gotmgzb~p5JjV^IY))Df5dONVy)L?
z0T0V{B9(Rs<0f{KhZdq^L_##X)B!FFa2Xqqs>~O}T{*wZ3QGPGoCmj(DxA$BkozJF
zNpvG0l+RXYp7=}1l?*k1$TWkIyPls`%J?uTgzW2SI7&=B49evnHie$wBOMvTJU9{C
zbXfk)7_s=+^xG>FQ*b}<XWqM<3oYNqtX9wdBZ}<%Sf)2T#XY9qo9zt;3McovT-`lM
z7_UEkUNvG2OQWAo_6f3M_@9e>2mVeG!m`p$+_uJ$sJ>TPs(=-FH=ijRd^AH?1nmDb
z{MZO?$$!lM>BoYnq&bRB)8+`fT<sxq5hK{Vt~ng&%Z$p2&w3u^E)X%5x-Ki{4Z$&V
zbx8jv6IQ*Jw?5jqMC|>M6DBcZ0MV|ak-f8wxRB;Q1N^JRfKN2@Wj_NrpU;wXIGPdN
z!zWGMPOcM82kO@B2lOG{TGdQgpAmglWAtO!=#Zb*XuJD>J~Z4mg)2OaXck+;x!r{U
za{|8XdOV;9hoy^dwR1Bf$*my%VHG3#pBBp9>8}SCXp>_>X2jZ>(y$~wW&{SOO?zi`
zA+s{<c3c=EzIr}7U|7$B4c7UU?Qy!G^m#b1<{Kk6kJx<N63m9&4d3Ixi0Q&u$u4hO
zPbRdw<=Sw?hy&$kQ*C2QDe&adhp8DRW}FeYzosa|h0SAXpIDtJ5UKZ`{$mp}3R`qb
zIjiuX^8wrA8Iv2iEg?2zQObhxpY5L7Xz<|&>f4O)TV&XqqftLo#fraPWGXc5=Etk2
z7mFvikl}<vXVFAI8}i@nkKxS{z~TL4)K4=yklfK`bb`!*w+oyTMdk&ONDFGqIids8
zN&dQQg`7CyV!OHLm@sDUo(ysw(FUEr$5aB$xpCKOqrD%!D27kZNEt+GgLKGGmdrIC
zj9513C@mL5ab16-=Th2WwC`9**9ksspNzb4GeH7bynSnvTeZL-<yjefEI%&($}IXE
zDTN$$igXnjTCiQEfR*{a0PYCimEWBzgTAuP8YfO_L4ID_N4g<F91?XN^7fO%&vq=&
z1B0|6jx?#Nyz%ZlOGioI%#z1|7lSdGv0Cu^dthinsR*)7ECz4yRlw^Zd+A*&wSfO#
zIu|=l3`g}|`rS5A#Q*T&xFe4?WL@V>aUB!KAib38H`z)UwYb!HH(47h<E{^vJ(tAT
z3IoP>0xI|{=V0?ILmg;RA8+}WEsgmc?d;X5s_2*L^eU5$3?(Ucs+3$=T)vsl94n)a
z=s>abyh?^oyC3}c)h&mW_o8Ae9%>*{6WygbeF~K2w;y9%kjD?aZ*zC*YGD+<o(o%`
zz=|d5$*Lp?xxw{*-6L)MU<?Hpx^zLGr^Zoft0HowUf=$im5lnj66ekP^`Pl`{I!)6
zO6aeWKt6wuj9K!PiBH)LfXef-N%4*{<~*>v^Fo_~?*B#QH92p17Q+?K-5*p?f1BKr
zM>+*rO|ORht~7$_0k7?W!>V}YSy-cL2L-QdihHIRnSfG9h;_`Q8rD^jce{*GP`JM?
z-?zyW3eq2nO8!*GlA5X|-X;q6T5y|9`kF)2(2mxmM;a)0#dg^?go1y~**4EHTSC3<
zCHbvRn)vbixTjSg8C_#0mAf;jkP^SiEwok>6UQ~Zxx~n*2yd%&E&_ylSYO+{s)>>N
z7haVaXrpmKO{$?G4M?6xJ%6rg;%SY{`*nR9sFh&+Tkt(?;~c93>FP8QwtAkL*{X*3
zFMip1WRn#nso6P>+H2y~8v!~u&ne?lp~W~Y*9v-e-Z`z5t%2LMcC1zBlW@C&NAULV
zR&ekpNx<c~I-chJZq52m4n1#r6%Nl@!L>ba>WA{x@ZZNZ+X_x8JgafGs&m>3wxp&j
zJvpq3n_D+4C-sRS<q`F~Scern5+({aajW2nz97Rs4FR;{_qgv<Xayw$#~0#mD`Aat
zzO&ODCl)`gnD5%V(cks1mI!HsmPLV&)ykPR=AF-$%W4Jx-AGhqC{#fI+wZSzmR==3
zex}(a-J`+eCi{bdO7i%3Z_Fs;@)XgpI5x!sG~iv3Uij%Hi?&BJV~>>#5(}Dta~C$a
z|Dh;He&L!FenG*HCl}j@trMrKOMC!=(=+AX4~nDL$wC1J+3Qs2Z&CaD$EaXZJ8d+4
zKorm2h+4T>(@bsU-}g~QfC`RZA0#ZX3!_`4W!<P~C$;m}Q~qHSOCW-%JX}8oP`34y
zky&0hl|`TKQOIEn=#S9UdjE?L|GiIlj}iSzT@J0VIhA1!V^?MVX6x|asnaX8O5LAS
zF)7&?w^lRoIF%%Q?;i*D&W3o7edwVkfAD>!$72R~_;lnrGaD8qRNZpv{6Q_1uH8(x
z;q_Phb)w%NW5&KUm)!Ef4ysRgI!9*K2ERTQzhzNi#B#B)2Zhj1^?mk3s%3*;(FTXY
zC8g<6+2L`k__hyJU9~f5-c(~SNvMqLEL$TQ(!=K$&(u;cNKo4)Zy7=1#y$O3uuM!{
z)uOqlJfId1FaAf&8^Y4iQ{i*#3&h3DqP0i63yG}bx3fh(41t;V)l&AWIl__{`EZ5@
ziNESUnI~Txz{py6$J4JfL__@1RXx4;gelt#85tb|Xgu}&{=DThA#-uquuHm~umsx+
zCvx@S(i0c4Q~xH389t3+(bP_2dM!urlb}98YWgmgz6oM2KQ!>=dN&~xyx=L2tOuD|
zSq)a)6GYGreXr2+K0>ze;0ZA{J>V))U{~)RCkkSW^?x1tMaVO2_%<f$f=J4GiVfX3
zG2CStBCqtD(6D;J#LcM-KebcJvLnX`OS30`-;MntLWk9|o3By8tBquBW-~@)$?%3V
zHjWZ07EeCTOHx2t!iVdu*BId*@#0|Q%YVe<R;RNO56BR(`6S;2F-AlsI#!bWCJ6)5
z1!9XS8MI{$Crl5H6Mwtjbe&+GCLF|X59DU+K=iIx3?erFh)2weUXNeS5E3>rRif{;
zVNtpDMV8?N(G_uAY3<4!;Tq{zKe(<1&+3AHlKxB(8c|LrUFR2wXkqC>Ix{U8vEY98
z_r)Z!Z9;;?n6*Sq>&~6>iP8k`18*vepG*-hLo9h`yH^O+BR<n&bsAthWY2Z6ewy%<
zAZ1iItrK>qIzv<iG@$eVi;DRA4Dp|E4s+Eq9bVevbguZYI@FBGKH9y1j(BZfv^V@1
z1D>qZNUpC{1IsVl!%7F|iM{L|`N!#)&}{!FiTflqSZpmVpwCz&?rO+Y+Ey{+QcAHy
zTCyr!42*u7c50b0mk<;g%V5Q{>ppY?D=M(xtjLyfX_c4|9P~-O%Z`WiSI?}4sle^v
zkye4v>qNKnh-=#*C+a#ZOa#v=!-+$?C08`)@yg{|t;-%f=yix%^6RWJa499s^QSQ2
zK~$`bPvAp`rjD~30?Gg(iB)7lCKOgX7dNxck5XKtyjz|s!Rh46y>YLYamvM?%9$gG
zc`Ht30eh6-bKkqwb2nI#ExmAk$V(VsFEw8i7f^z#&PAi{G<IAQQuaYdQM?)fi9+8L
z!I~xK=&eRhH2NwT(CsIVJRu6%(WQ!TPV4XJKV2TQNzFbU^-L1OXd=|VIf|eve_=u8
zC?EQtJ-6q%z6_q(UPQkyUlBBU_1%@b_)#k=?~eKjIn=l-bowZv2v+`i6R!gWaYUiV
z*Kt%Hx5*wkW4EFRiZ!+L)=I*t`M!WXI+}z|;-)A2_bP!*pXO}i#(RZNe;0EfMG61i
z;C}ddNC^b5{h2di5yzxW+KjK(m9c9!$Ln&QG7ziY`5gL^Sl4ay#Cn5=_VLpf&9A9I
zmFx9Sg2~eOuChBwaabM47^7dlK~>l?vlOMoDu*7WhI2Ygn)st$`^iNkbuf?;`Bk-7
z9#!|Gock%FgYP>&r&885pk{j$#iL#Uf6X{APu(J8^p2He5ovAkC%HZ?v{Xd7pvs({
zd<ypI`!%#Vkiq3%OT<K-5_)beds&gGi_)_yMI{6UsN+J#+B-J*vZVXhFhURCM3gGK
z`{==gYo%X``&H2;MS_~Hua6wjrDxt-7(jTxbL_IeI@W1?-Tdc2eI%*fuVUG31hpa^
z4XYa*4T}EDv%qYCu_<vuM?y{De&za@khvBfRxV>c$Y_9ZTe90tUYddFZQJi@0owS7
zC-;nSu|8%Uo8ER$z!EO@G{v4etb=r3^*g@L>ES0hV53Y1!2EW|=ON?fwF@jQgSt3d
zp`dJJv*B@NUC3!oMz7hIy>4eH=xMvR#ea(xL=0J8J8VzJqx4GiwbylUf!$>&NzNKf
zuD!N8s!B#T4nml-QUgmmZIpaktT+7Pz^SecPu`+A<oM&d3R-tEQPFl2sMDJ52g<e4
zV3X_K->xLoaCMbzyRixOU<3E8zZNQN^;k}Fl|cp0&dsL9n?R*M=7?v{|Nm|CY3yMl
zNWXQjQc~I`XlksjxG$-WtTTEhcQ5cD{29Ny&wUe&AMe=XM^VLvv4~2iZ}j-*LVa1#
znl;?J6FZ`>t&ADP*UXscMhWKoeOvA%TZ8jJzGb<rBBpi;SvAwQQnSf1i>{p3;5|W_
zTjE#10GC5@!e^(b9jU2PozYgX%|A(-%qxcz`N5(xA6BUk{&TQ*n4&?gozP3dQVJ)0
zmUa%QGQy~5C(qS`G*F51>k_&qhU%`L%G)eipk?R2rM(>hUxm>qM_L%i*^7jv_p<>D
zXT|0yCxF)Q-$IUm_|eu!VOg`99qtZBv5nuNf?NH4_gACb$ZhV{-xtLJi9W9kuIE`o
z@LEdE!z4D`sTnaj`;i0uP2y|C$}NC?ZHbTdE+cYl2>hdO=YS#4(L}>Gb2#Xnsy=yg
zjj-G<#qc|i1Kwuaa_(9(1FpmRxs8c)MDU@$?f@qa`1&?o=B1VyY}jiY_47DUuNePv
z`X4)pooR@^>u(BKqR-y=i}e$D;rwaks~h!`M+{w_nm~YqXoKz7CSs36NoTGpJA@il
z$n&llL*AK01Gg_PsC6ZNT+#Dv&}DRUn7YFl4#wKQJZbigDv>I}H2#4NDy6kv?|otf
zH(lz&<2!y)eY-EaBoJ)CHdy5`&2I$8g>xRPwxiTv6#w|DPizo0;P<#F!Vt!5*2HgI
zoTO?uRR0iSXNTvyUtCoG7=WUZhM!&W4E50Gqi)HE*daOi&pX&>0D^n1A5WytQ)Lf*
zl_(lw2fnw*-@f^(4@GVTjApJ&)K<6H|L$Dn0LGs2p&L8(;barL!S9(BYWu+qi?V~9
zP}ch`J@1<yR4ji#_daHw`k1t*b;64a9B}dIptl}S9?yoJWT1xt6NT*5ByO147V_0^
za>GM?3wv9w8NfVu(S53i2d<6lkZJL{@W=8f*)E9@(oRH~Z>I2p9;=DUB^h04aJW&l
z@|6ir`!SH%IQc=oHaI%$B?Z#<iY&Y#vp{+D)~C-``QdqUAKBQO0!8$c&n}s)pkLJ1
z=*1xjM{dwQ$Z=Dk(8N!{NR%CH_c%uC=n6rb`rWM;Uy(sI{cBJELk_rZp+SEjTo`EU
z%)GzC$>47_Yh32W1#&!J60AB!V6mgfzub@vaa)rf{Uh<fgB#3xD(+$+UEsJ+b5#c}
zy-oc-!pa9zJ-N#sOXA?s^m)gn+d80qiSNr>UVd=S3(gRIDGA*rCt~$>=s;cZ?<`>r
z0oWYx(BxAf4KD(xjm4yOK)(6jZ)Xodh?frK<}Q|nFW;;^!q>Fne*gdg|Njh^cR1B=
z7{+bK-dow6!{MCcaBSblIYw4WLJ3hQsbrK?6fKfUQp(=5L`&57O+}GNMZ=G*hL!B?
z=im2_=Y6jGdanDvKi9RW`9E?cA-1yR`=b$M2%DgyuM2w6n(61q%O(vw0=_(}kWdBE
zDdRO|aS8~oeTnKlDgz<0MznuUYViG=$g>y+3e0kiTG;T)f%{wx>uQ=h@Od7SI95af
zI6U^L;l4b`Bs@2m8`l65cUakoBo*8pCWuFmDgwu#IqUs4E!YvK#kMVk3Z5@7KL6*o
z5p3_5Z)kf#gzvs;+GoF0A>i3{13^t?NVeHCpKhQHxpf?Fm-o_udgzeBB3T7&tURtI
z73sjrM2XujK7BY4*mUc)g(_6J(Zq8^bzzcE_iTELJ_L2pg+1NXAW$|Y+bviRF3tJe
ziK?Ijzpu!v(QtK0JO0Y5rj!B#9p&?}6$YSS!CAeUq5)be_9{>Os6hMr!FE%NAqdt5
zf3Ucx2|X>^jEv7z@c%6I!kE_x2D6MvS6*sCow+@`oHh;QuQ&4Bc^iZ2$(4@^%|z&~
zd@}jXlLmv&cly10V*=tc5}jf7B+#T@YuUJq22P42%GNA1n0}fRjIL_~6K9_{qtHNL
zCRwlKl{q-b5{wk=bztv~kaq@cRG3gX)#lBz1WM)A!oklv5TL{FX<|l&1M<BB?GG^E
zpE3MmXh4SCW|o=YupWGU?a9k?0pNP&-j&V1WQeOBRu$*a1#au!GHX>UfNKi|%iGA1
zN9jW+-f08h72SrIVk;;Q887S?C4*ScWb8>VBFIrw>x3nkpxMU=DNECVlYT`Fs;@NQ
z23LG-nm-e){}2;be`y2fX~(!iMK#Fx@%ycQg9(GgBprV~ZIJW(z?mDZ4CL^!-IQ`B
z<oS*c{9s$xp<}F$cR&FME2fFTMNBAX^p_QU)`Cm<Nt<z187Sjz4vSA<!YAdE8)C0$
z0^xTAU)Vcwc+-B|t;K^0eWwoOg)=muI!XWio?apFxr#pZNiu=9dCxcJ4mFrKj4~)h
zUf3oiA-n&T6^z6?6P<!p!LEum{xpIe5-7(@n)h45)s3sN{ah*_5%$B9c5DHA_aXF)
z2*C<YceU1QxG2HX{fUA6UH>pv`O&&}xd2!F(*A3xRD{4sk$={n{K5u<xzEa*0NmMN
zlU6{MhtCNULhT;^VdEF|DW=&N2wN{bo^F?c@xYW*!pwFoz+2HnsnrtB=H8qlXGuYt
z-^aNfmCvxBk2&f~S1f?LuK$)xngkFo{++tmn}dB?C9_2IEr9T9WJ2w!7@Yp|TJ3B|
z1b+0x*)Zt?=Fr%1{>2eKQSfuN-@f(n3EbH0N}_(L8T<`eSv|rd1a?0*9J_rg70dPW
z8NEGf3gYY!JDME%p-`j3E~NNA#uhDA?`>!b1%ipbLp{78FBVpB&3u8ei|}e4iZ=nf
z5S4#W#|^V1m-qB-X~7O;=Z)X(GzMmm*(7H-CnRrI^YFC)h><KNhZppW0Wln0&CNML
zXY|;fO*_A0&7xXVjU*%ZecCCIvx^PVmJdF^U*C(Vy$e3XGtK~+f-!d^mo+Td^t(ct
z?f@p3_mnTvjR92AExAJ5RxrQngmd1hKd}Y)=<J9aLUaYQO8fp2=5X+8(TwmgCiSzE
zKS<9IY+Wh*{eFvBjb_f9+>9}-wKU;lX|4ebR@0qqeHJjSX!k__><O&7NSJ3q)&O27
z47pNr=CM5%Sc?70N$k{x7j+h?bTDUsb;(S19y9*CI^`QQjcIe`*X)&`15dr`%hujG
zOg_KNJ!j7>Ru^Y$?UT0dGf`(Q5I)agZ|Hmy$r1CIBDL0g;|6{BVav(;W_1p$h}Nr8
z%UZ<TMOJb$ifM2>U3BA}o%7hE+Wg;*gUi^4YMyJK3~3-({#vvC=RCG{S=h_Uc@1lC
z^84|+i3(L!qH}zC3s_73kz}87Hu&0kyeGn&3fs*yeAtr~G1qP{Gk+%zn42sX=^Ud#
zyD-7~alsO%sud`b_mUI#PkKZjCQ{(ySOxvl=rX49mb2K-gBwoO-*oC<_r<CO*F9GP
zR<XS{j_0fSdEtno*yZ4dx}aWt)WMyw{$I5m&xt+)NIoE>x)XGvh1^<cKF<agnQ_{Y
zz5Jk~Xhr1TONNO;pUxpp4v31qFk4L!f}~$hXdG{K;7I@I0XAJuQ2oBM?wp?pjFM@x
zUyXFY!M4FOCXx$kq+|Om=S0EmV#1K)eQh{*alksYmm9usJJ(3xDGq&0rZ&LP2KL&>
z>L&+zK?xmfQ|*=jn_<4_mL?MH78vo%Q{{s+<;f3uu~Oi`7rxsxhy=xIPKh?`0+6Ei
zCeOo82GTVJlI5jIkaCZ*wM|e6vYG#O4H?RTiic{7bte((>%w1WZ4v>l!mYMF&I;fg
z&|~+jln8$uZHzW_i^3CMLTl-@4bT`v;ZMCz1c8X={2YonT#gG5yw9!-Q!gg>JEjrg
zis3?cS&jr;e184(c2^aM@y$UA4~ZaIjfJw&q`)jruE4lX6;S=&o31lNSpBI%u<e(I
z<Y;vjH*<9$#2<Du*-3(%|81fCdMFFr1H30^K52maK+weAKO|5Q_UM|akcax+5ku$W
zwcyy%<LQ@5v>{QF6wLlc5quKY?l{|!prS@hqd!vzZpQlU801lcVWCT^O42%DrK&Bv
z*hYri26IiU2g<<K<|ZyWK?as!6#qpVJy_w{#<qDz1wtGT3#qo~!Lpp+t8*Mwh+t=*
zEwokx`AR#&sm)Z-_%Jd`<flQD(=-atR)_s^v{-jC4a7#{4*W9Hhj-DIg>Tt4!DiQ;
ztetZ-ILZ8$F?5R#-Gg_f&ID?~7Nz$#sYUv5)<opmV`W3&{O{=|^(G?twuT;8qtYRH
z{~gEw+8K~aEPFAkpbeDB97cTt9X7hy^w|^`!!pO;g<dZmaQCYH;#W$CTOZ7xPNbN^
z{N67Y#7~jIk#}@p$9Xz9KYZEo_L@0-i1VD4j?{(Fm*@4E@^r|!79QD?VhQ$*53b)d
z(F2@yxJ1KWAB-%^$!siucLA9i;xF{TRN`)sw=WHD@jYxDBU^!YO|oh}Ck6iKhvxIj
zQbCM^@%zE56}Z@X*fuWd0n<<MT!*eMjGM-@zpY||VKrrDyhsnWlVew1Kd;~AJ&6f-
z3l^A^CJ6R$>p{e$0`mMOO%VSt*Q_&#1z{iMYYP;0VbgLd+hBz%P%KF0PTyGY{v1b~
z>!c0{=3croZ@Uqsv*wSOjIiMFld&nUtJ;vqD@7Vjl>xP?pWd{t^*O`N|2o)7Kq#9&
zTX;kaD&}_;+T^pq=lR*zWLGWN`FqpQ-#K0o77;$+zMTcPIHS(*PSyYy@~a)LA}d(`
z(`|i+r<mYM>h;-&)PPq?y~)yV80*YF_SG()2|pqw@^4M5z-brpN9HD%u)t@gT|<0K
zkh`*IwNF<W-p>_eb?6V`dTz5`k(aDsGs&>m@2?`v-X;f@@=xOPvmY2{0#*>G<@9ZL
zr5tp0Yw~gZo5TOQDCOi|0%&;eNwv+82KWCy_^&E2<D6}#e|&@iw5`kYx{(CPef~^d
z8eYYZYL`|LNEkd0O3p9bAO>HZO%EzKv7tJ$-tJ%vOL+ZI_FH_Q5JdT%$<KYjhI}_r
z+M;$^0K&o_m9z7KwRu!ub2A&tNyKejPn$yv>!i+G0yo^uEt?oDWJ5z$1$&zAn!(_C
z8By#gJE;3Igo!)YkU_=S?C2p=xaj{czVQ4q_I)dF!M5LP_|E2)FSBZ<z$9bO=^th>
zr(wJ2H9Tv$TuE5%^Zh1p!?D>fzy2Tgeqq^eQF#?#b1h1Be`E|Z50sNHg$-ljD#qKG
zwk!Arb9QS7K4UPtKNYz3a6i^6&*4ajTgJbhRMDsU8$q?0Z(mG)Cq_&6QSIwq!nswn
zE|eh#RCC1stDbp@?I^mOChNU~dmYav2B|aP>RkP68NnO4)AZb&5$_Uy>j1Zq(q%)?
z-(=tJ(BFu2P|g(|>siFDGCNFfEE+&}B#%I7>L+~j;)8n|h8FQmmO$l=5CedHd>}K_
zjh8k~D8Ex&!tD<qu$u0tLt1!-8NsF>Kdd_G_~QH${_Y&(^(AjQB*t)VI`?r1|FImg
zRZx8yH_^YQW6`Y-OBn?lcIy4XAB0(VKAu^|!<7I18~4$Nq;0)g=k|``X@bHfqsuFJ
z_V~$~q#+tSp-^o;$N$AeJ#T*&GF!v<oB0j%gwlX}do@?0(?9$RrRU`@Pd0R6GVwpx
zRVvUqJf~&8OyXBt#J?5L*wLpg5w*crsn9$X-l`uwjo&UMzvU!xAU5;JkItIZbzj+`
zWI&k3FKym$n+Tk!@2eS=<1__4>`%|J9?#)7FOjl1qq$JN<yR-AIz7-4sBu1UasiJW
zk>7W&iyPHmr!iz!b)j4DLVV$_C46JpjmzO)yhw+<Q)Q#QF5G(`IySLu1^=~AsW_g%
zhjPsiJdDmDL+2$6FQ2$Iyd=gX6Yt|kSGXSWCd})=E&;7KB7fMBymjQR3&Vow1-X#=
z+*=2@4_@EYOyoex{DY3yG(`~0R`^QAdVkL~FK^X}=R{Gi73ZhliK4mi%^d_=ZK#kb
zYfxL_Lg)8x{~M_;j&{d+58Z1ffuozV_?zoINbNxXcjXKTR2>lWxzcOhF9=04o?8eg
z<)HNPK86(PEIrX`vq%KzixOiN2K*>!utfOlj5N}S)-hQsCc>a{{w*PvAbR#M+>Ylz
zS>!2tOg<x!2o-^y2hN-pMz+;^F2sz>qofVZ=bem+z&%a(Hi;5N4tpa8?vXbjn~!A8
z>q<nR)))T@Y!O3lqjAMe=}Ktl+mF71>+g0Umww=85~xC>$K$1f3Sy=XW|)`};dPm~
zxn7GTnthb8{cOA{+89(?#&?Vew?>P@Po0oP$;%a;7F_D+#{KRWfn7v6cRV+hxmgw&
z?}~ltpQ(W?^r!fu{YY^6K*37AwLBuT?(9o+)<W#@<5xM?^M)s)EB3ChBKqwSv0G1^
zgtp_A1y1}r;JU#6l$5;@g`oQ<e12&oAJ3ax`50u-%ppx_pHW7gPd4!%Y$79rpDtyp
zg}RW;c2Y3)r3#{i72UX1riUD&ci;8*p}?MORu-R>8luh0jCixCh;8$Ytt&NDc#=>f
z@HI>w`QWWJ7qw_efa|5y;Q<<`aEd%M{;GlEBPw}B7HNpHhMYZbNr$a_Zhuo@X(66}
z7w(MS*GCiK;&K-n4PeppKVe205j`oe7m%@`BYh8%wS{90I3?)W@PtPjm26(Enk}KD
znul!}nVXH_3q$>Ek&6z>jUxTp_>qnTa`IIX(-aQQWy()QlM&U~=?e2H9WklZLb3Md
zka#cd`SdAW)Miys=juU6>I|>*qi&YK88EiG?5u|fL7x)xi}Vr7PiNbv4PedHvO}g%
z52chD)D4u-5Ir)=E=<7+Vp%tye%GU*#UvNA$~{zM@NsX%;<Ob+^6mFBrBTp_iuvTF
z23?eWa(~X$T_z-0*$Ju+>7kv*eMdR`wNcVbhZGqW3v!-bBM&<0A*I%K!igqL)J|Ur
z3aeznr~c=gSb@3-ofNUXE31aC9AJh%7-d0X;G^wCOET(Dtk|?Txe-l?AEs$>SVQQ|
zBOUzR+UVQ$JM#hJvS|LLkD~KG7RY^Y5zufXA=8IUW;zl>5m)5S+u$tV&LnfB-qb?h
z+$K*{SrE{_n+iEHVJuK!MLM2o)j(<Tkyke_E#u1b$3Jn4vf#P3x9XvJHS{y=cgB+1
zAKbWNp_V<H3BJ1Se3h!IXt&Ny<*LMTESVs-&q<vL(;Lms2yItJrh761vm}3E_FIgz
zSq1And${fT0o@H~--@Aa*y|}w-tta@+d9`DW;M!Nf0IL<xpVJ@1{W{|yF1(Y*15Gc
z>j~r36KPZun5TKeVikLEyQ@J{6<|U${h(&61nTrW<xrWz2Ddu|HFBLXh`B+K8kZMC
zPQ6C1<>BnmRYGdp<!cFU4qvY;*a)GiPs~2n06RFex4X$lTL4>8z=?oH0&3G+oikl!
z2g5ivso6|(*x;utQ~Qt$#c^Pcb=~Z6L*y9LHJd@1G^^EDh#fsMrg_~@VTYblH7Ra3
zGqALvEB{Mc!hgTiDPd9BVc{_`-`&C#c*v5UKUUA+_itt>ZEs+Mp_`XywBt-5(|_*z
z@skty+Ka{k?rm&<Gadx5wXSoh@IJmvHNWs(*EJ12KCNN+lb-iGl#RhV6#d&i(u1FN
zeN}lvVGTP{Y<{LC$_Tz$pZ;NF)s8ziOFRueyNVS#F!Cll8Q{iwh!-6x#czDai|VCT
zG0SV(glJO+WNOT0$ML<u5^SG&n15QqH0Pe4k<B**iQ|QZ@&X^RV=fv4yI!tfT3)^l
zS40iL(mF#aBDEXyw^F`(XJ`c*5Z7gt#~Hx(*r%&Ii~6yRp^v_{o3CPx_Zs^x7wFK~
zY22@P_a{ajHkk@*Ud6n#qYr3C&_TUil)@P?jInclmVS3-4HG!bX>C2F54`0!uL<&v
zV?>@hHwim7IC!pJ`pi*%a2%a^b@2HFc9nlJHfn$k-V?X_wye;=|M<zmi9?fE6ORRH
zER!9gc1W7YB+!6^vgO$;#c3?4xKuXs7zgB}mHGO}($@7H_^JPX1`G1ze`|k)6TS{`
z`{k5V;Zm-IKRICzdr;}4+n>Y*{pL5>2AEU``o(qHciRH?y6&FfLJK#H=I5pd)KlP#
zNz7qK{UvPYiUvJ}$_rHEl@7c0-aK5v<lm;Vf|-qUWv<o}fE2~1S;W)>IpNSt?^$bD
zcR+eYZ#X|xo?gRSQ*^=Zg{NRLVuQv<pEr>_1))tl>ze8)8M0q3o$;7vhhUePcGZKz
zurXbAQPqVE<|End!oUef^Xp9LUZSvz%SkPyUI$vQ<vdF(;)2ZjCG)>`#6Xmqt%e)u
zKveDbcjMYT@OLEWckiM&+*=S`<*C(%{dSKHjoNvkL-u0`L`y=vlF<!c2W_xadF@@3
z&Ida?dI|#+rQwj(qk;{?Bsg&)?MQQ?0HhP;Ue^rBKvT5hyRLK+c*$-`;Vu>e?lVUp
zUFnbm!P!?Oq3ikk%`#??e^Lap3X)eHMik((h|EtF8VP<9Z#g#`iGj75XflDi5rRg3
z6E1Eb!7la2L-((VgAJq0$7!oF9NZm!;jS79QpGe=t`j7I-Fcd-k*5MWZQmjl>_{-e
zxA#6hOA1EK|Lo}ESA)=iEhS$sk)X9}$5|aW8A#A9|DkzF9iBZ<FNmEbLBaKc&JQ|r
za9(PrOkGtI@;eoIXi3`OXK^Y~PE!H=?wyXCZPkJS5;ys#>pJg?O6u-oZGdw1rrI0p
za}OTwpL(~h|2qMK*`9bM&}sOKpL5rNgFBx17$@q2CrR%6j!9*x`d0h<98nkEn5gqO
z5h!r7OT%fmzA6ykUp-~Lpa)|$@^g~=sE{(*C3-(r4LXUnVZy#tIJ!0Y*VXWKzC7$K
zY~Q60Gn_mra|Se!lnY6XFVTl*Ri_t33^gIVNB`BeSsH9Pl*eDiYXDyk&-&F~*MgP|
z>*)F0`mpMs`O5UFAp`_45^6??z?+z~KSq`g$M?MTA!A0Me;~ksY^)7iby`yB0d%-s
zogTF&Yyv5^vC;+yb>PIr%C>@Ibg;X-Szzm&DIBW4XF`Z0L!?RMo40m!;NBTL@P5=B
z?$MNN&V}g0<$*X$sdjxRi!9-Y?Xv`4O=rIbRXvD*Z%;ZRtPgiW8@itO17uV9J>TBZ
z1N3^&10HS~92~6vInJ_z;VH{8&vrdH?($_wCz1jdb_Yf51ex$m_4kXL>-|(^J!_9e
zkm2O&Q?Ex4nCm?Cdf|?j9?UP*o-@%P!D8IgJJUuicpL34Ty<X;H1D|x%9U!sw9FZ7
zDTM{b$w~=!4P+2LwwuzestWs4cXAoOW<f|G9$b*B1HQj<9&HZX02QvJ*pPM>5Sq5k
zo9Sx<M^qH))`&Ei6YFJdpRmAgH2&^XArVG=`u_5>iGiY4pTwIpEcp7Z{Fm#JCiKuf
zf<$6@fg$(yO_4qensWP$URr2?ljDoi!M)3vq71H5)y@R|@~wv^kEwyjqYvSd+efg@
zD@wcF{Fu;s;)v1i8Wj)~`yp^~tp-yJ?%C||#|i>_udL7}lpyQuba1*sAKvrKwz?$5
z3jX5~7}rl%g!7IxqN3geezX1I>s{jjLd9KBct8%cPla?ky_>-g@(yjR3k8rhEclmj
zNE)unjH-$>F5rn~Q9=)gF|hXJ6>%$)Sm)dbquu+K@ogU6^s|eWuucMl_EKV?*^gm%
z3oH1!zg2f6#Vz4X@vhL0V?t0FdW;$QXchmE{@Z+pW&sfr#f)TqK6uq|*{A>0DlX}p
zS8u)39O^#>XSTX?LvHk~0kJcyc=k4hj4z31a4qP4H-9fXT<aK-eA>H$`voVJ?R;qp
zp)Uo;0uxp+AFsyIEa4SA`h1Xz52q<~)cp2SVV}n?q=!$(Xe{H?-L8U%984hZ%&l5O
z=_#yH%*tbhv4k&F{JSE3%NTro7NdTJjbXn{|L~pKx`+=Gat{xW7=e}DOj76LAuRP_
zK<m%g1w24(`QJGkBd~NR6MkF&AI7%QSL)F`k3Vy5<GfnH0L{xrX0B-;u#=_+Umi2&
zaXw54o)Q>vp0?wal3E>hUuSrq+1ok%kGiNEI${VvhJHO}^c3OC`SYdk&(7hUr<}xt
zdJP~m$CB5Dw+R<pHcAUUFo$2ca%2CAtp*Un!J&A~<0GES)m(TgW)5eyHTr*OqC*w`
zS=r{3-*6?eI5zft4p%;V)R@JjgWSgXo_mQuaPt29|HbRh<MjbwQ>u_Y$Yz{=Xpl32
z|1IP1SX$q|!Fh3Hg{coG4IVrtUH*v+w#wOR-dey7ntmuszNNvcPO-vGpFg;qgYg=7
z+9ICq9xndFl?E<@kNsnnM{yNKs>;yoB|PGlWr^z#Dwqz>KIQEh$9Ytv_=89*_(P8a
z#k-GCp{sCTU0eGE9`V3Q`)0!`&ba&PHwO<D`oAA#TsNJ>vy!#i7VX(k&SMt+pg9G8
zkKUao+@Hcbvd6`&wy>iu43hm)xE`FVDj~cvp1}utGspTPIZ%|&YV7lBUEodc?R4v$
z#p^GHOOMxcq8prSP9NsU5O6JyLQ9^<y(ijFKhxqylLitqUbbWypN+{G*}I6p{1H!H
zdBTI5i~CyA?&v@pBalPScNyQubh%a;PC)W8nO*PZwSk5`w`f_vOZ(5W7c{;2Q6tSm
z#Meg~JSF2c{@llgQoayF<-!F~tc;rBn|CC*75{GDqKq9CHh$Mn!G)3f@`aFGYZ91$
z5>=|@<wUz81e{Lfi6V~K+>+u(B3LWy<D1WNA;w*m+w5H8$b+*$v|$?&#K!(8YpC%c
z{YRxy{pTf6V6{s$-<TGxx&~}X{l$x>Uu~Rj)RjUPAWQbcy1%Q{+v{q5=0m$<wZ@Mu
zNh8IpjmN6&wID(0(w5tQ1&||8h-}TIEK<C`@F`hT3zRRH3VksZMyHzgZgG=VK*k<V
z-rXD4grE}*&Qac?C|R(!d~M$b<WZY!`r?}=M2SSC@jMknJco3&6vvd%?Vo&8e+D#R
zF!r*so}mOHr>9%HxT+w96{$yG__Sc(gqQPDyCgd5R`(^~jVc;@80yrqMGJIy7H;>t
zB8}8b&z4Pls-qw_Yu#thwBU)S5uGzk79~DgmO03&iINDxKy)X<V-Zy@=V*DfgYn|_
z)<!M#;G_Q*d*yYWtxxwCELB9+l85X@vq<QxP4fA1Rc#2}we_CI>PE!9(W`Ueq7J&A
zadLcDfDYV6XP)KNE2G2Re||c~=%OSqR<Yz?GFZ47a<&PmB4OQD*L_DRh&?MIJgi9%
zipRHUzX(=Crw6--WNN7Bfn&J#^=K+2`ES~CzEd6Tvpd?{noUD(`U<Y~&uQ>C|3luq
zgC+{vFJkm5N*`(X@^x3z=pfc6UvQ&A3xzU|n%Ef7(Zb9rAL2&?_<Srt(Vsy=(LXM-
z)SKui##Q5OdJY4Uvf4_9GPTj0w-Ih*8U|>q=zaf$RAVr@v1ew}UmetSgS|1t#sCRz
zDXP;bG6n5dQvEqfy2$<Q^G)9r43MZxb(73nb4bs;EqhQ+56#LyS69lTBX)ziXnf2P
z#1c#V?f>ebKg3OM<v;5qmpiuS7Ec2>h_E#`Mo~}}Wou^fBO0Q_woj9eTS1G4v6%Z~
z3UV)x@!hbQif;dUu)46F2}XH`veXJGDE7A6F4HZ#sA6OlBZ;se+wYg*3ygyDV^+(^
z<s?LWw)bvA77MiN{Ssm>>Y?cH78&bL8YqL7+myp*4J$)C9{HTrMOTjac&|;VAgPA%
zm7fOI@O1j5ez_SLm8rdtb=a+lsEqC(85Y)%uV~6|RI801_ZIfdZjnNtgz6sIC|Sdh
z!`nS!d?fTg00030{|r}mJeFM;wr3fyz4zX{_INKuC6W|H6qQs$`ii796d~DKRzwJ8
zM)W*MX(=lsQbw{0DKq)}dw%CWzx&+hI@fq0Ccxd?ww{c)e%m$n#Tqvr+<XyatVCX?
z*q1cMF_0HcpK{t=v4)rQxndp{1+r}9bf?1C8DfxGsb5LN8iu26G@YYz<hC@*LhG%k
zL_iHaXKjWRe*1CF+g_3(@3I-`*^GXp9T+d!zf;@_A0)o}@NJbMM=l%;XlMLGvkVSN
zv`w|dN!jGr^|fN;szy2emCV1ibg2XD+PE#T=gIG<%`U>E%RA+@LVDPDXKFgc0HfnG
z9kwb0WRuO@+0tbOR6bBk*uVkYcc&KZHlUD#mZMS1R3@y`=`6Pwqaon%dDDtjE^=~g
z<U;)r6Wj_%Ry))zK&mx*9pU64cOP7d)>LQ4TmsLYqqgSAe|NF5K9-qe($cuPPL&xo
zvCrqnkC-8In2zPpIeOBwui_)yA0~J_I?FzJ!xRRY6-sL5%f!-|T$i9MCOrLdPj~2p
z3Bt;EEX=6?A*!Z!J$+%y1Y?dQEkkY-&?{)I)Rp}t{7$$iqMZ?}hfl0*buq?5G28E>
zTZf6W`ol6u0vS;@w{-MYt`UZUysZ@lI*Ftmnv$uajM${OT%WpVi2w40y*)Lm2t(%N
z8OJUL#M#K?wCpg%+q3;gS}!!vr1VF2)E6?q`XTMoaHRn@2@Ewx#dgw|;t9^_GzOgW
zIQ#yrxB+&kB+y(o4bZq7*;v)G8L*r-{(fhaK5`q(Yb>9Q&^9{M(u==h0E3|0R^3G^
z8rE6b-FrPjo1mYS;N)V2avZzOus;=!k6IpxnN8CKu6+4T{~sd~!hIgvj_DzFXgp&k
z@E5JLAnNGE5+f4n{@ykB)x+ZjM!osi-!v)Jw;{zjOwjO-N~xUCg;tTm0p6Q)v`>Fe
z4VVWoLuvB+^4$}<IA+_fdM<r|#$D9;s?3uG_402e80d8I`s>lYiR>jBWAyR&jwe`g
zwA)y>D_#c`m!u-&i~rJodUra+m#{%<3#DFDQ3uzy6}~~!KbkMAgRT~Z12)_#nv$e8
zA~tRqX$Yl5T*Rkh^(;=jNZ<al(Nh~q<|Qk;GU<`cY)04SwjOn=v^skRZTQ4AYKL|(
zU@F<erF;W7I8tf8Jv+7V-0QM}z629|Ci&Z3AM(H=F_pgkktRO8v<y!RW5(0)RiXKA
zUQAc-J)<q63GR%fjEX-j2y44qG%3Lc^LoaZXR#VMRVvS46vKvHbr*hcT;PXLl%>dp
z^%~H+5_9FgB?pWc&kma~31Zv9&{wzbs3Y;<mg))7b&&9l{~A;vgi4CqwqR3rRGil^
zZWQH0<X*+7f*=tv1pm2LJE4Z{!=m>#%JQIX<dAElml$G-u6}YURRjCy=(uhNUKClV
z`<@SxfS0l3$@nNWI1k<LZcLy+gnwCX$73nz%srlA3su88{Vcw+DL%a2#jPUGD+4;_
zFRz-esG&Y-E=TLI03_5y5AS!Eg;BGhf>oIsq;<0f^Hv3+l~Gt!QY(iP!@Ki)>C|Dn
zNzc}{LKt7Jdu%b*RDk9wjr_2a>d@l-Ry`6aif}ritEVayapG~}^gcliVE1>7hl)e}
z>>&BgP8lsu|GwysYCx_=!<X-xB;JL*JJS6_1(eNn+`FbV!E-SFOrfVVzP)ZSq25qK
zAG7c$S<$t3^mnstj*x-&!q#GaYYlXW$A7)krwyu^cbrYNEN&eyA2uG*#MfpH$H`}F
zxVn>eId@hLUp2@d_NLnS6fJGm`BoQ7;ub|W4HR(w!X=5eS#3b&FuV1#9)?c;)9gN@
z2;r<>bKWUBkmr8IIq0a5oxh(ZGCx(q){;Yxi$c1XIP~hy%O(RX)Ysjuo>Rt4|3AW-
zYq(c<-RsG|*9eY3HrPZ-s-l(gbUK-#3o+NILuc3cgsv^Zz(zw2s!VM8wn@79_%mW8
zw#5`$PpjH!qUyNzh&^i2P8a4^|9x>vGY4~A-M0EZb$sWK8;xqvL7y^H-m(h~_UfPa
zUG&p{Ml0R%wnc3$Ys|lWejYHBUV81{pn)UXt&Tq$)xwBK^q|)UOMDF5@mi=y15G|1
zeWgJfILbz?B&IB3v(YlxzE}eZy;0h4@>C%i)Sc~l)(RH|RR#hqG;oc*z1bjB32wrE
z`fg)Z7>c=)cr#8NA3h{Yj)urXSG|W)qhpQV2j)~x-Bp8}vefMKHW@T6GZvnAvBm_u
zlJVquRYdVe92ANWhvm87j4`{dA?GW#B}rEWNs5v4n_dVa`YcP7s)aQu^v;sJ&y+C3
z>)B!*$&0#`O|lQ!tid1TUL9nhh{3?3O%nt=EXk*L$Lp;i`7Xvd`Hnme41FzLDW^wW
zD<;akt&k>H(3AUD7G(DFNx_~!G?OLq@`Pne2wR=WZuXSH&4vy4?gf6M#V9#0Uy8K^
z(V5{tpCkpI=}*H7uJyFez%L_x!j^dA*7+qlQXJGLUYqymbr8x{$~S2_z*EAYZGE-~
zQa$D#H}4-N9DD4z3fExn8<rs(J0b{qzU!>HPbP@lx&#mZ2^y~0W!A3S!;g32TG#J6
zO%vIFry3tzw}5A#*kTDI1?kpPui0PE5YAcSN1V#cA^u|93$8kD#7sw~{|os=*bGm{
z6!e<mHKm;8O9v-@eOU4Fx&Djr7|!~(z-b0Kza8!wTiLKBUE-;P-Y+7dQS=<m+7ymg
z!Bs2Ij5qhhOOHm(5WDN*t+!t=0eRWku*hjmkN+Lk$w{9kMnbgZf4nfpMGbZR+>BM)
z*36cq3Z*GR$#z#0!DEcJH#_FSHJ54ED-OtPo|+_bOZoXuc^RRR{@A`jn|a#C1^O#7
zMdL)%b(5I-YC~*eRp6QJnx*X<k{>S$7$qk9myd4ZGla~cTw%NJX<F+jZr<NKLcC1K
z*ZXk70A8nPA!es0X-!_b1zW9$3GJYB^1MCzD7jJ5`f~g`O*VNVU2y*(QK_>m+hL^-
z727P^n#Cd789^8KFAu&F!2^d3haXaL;3A*arueV4*y{mI0yh1GYu%eciX0U|Pctu-
znDo*bZ@qI^j_M`u1{wPp+|+~jfq{;G*-qN=ndVX<`5q!HB!F9mPY>w>dn9+)x6=Fr
zEn`ynx(Fi<o|ISdy5KUkbV?h1OEWMrG%t4kNTk#DME>E`h48J`)Xh#WXmjgY+PS{A
z6W<$>I}=lNkgD!K=1n7L|0D#es1<F5q`0jAWl0@er=^Xixm42r-Bi1E_iZaNOAQ|^
zFVKb<m+gOTE(Nr<xSn`^*;XQ!&R2`YNE>fvf3T#<B-50JBKBvOw-C3^onn2Ps0DSt
zmA(4~!-%x5FsAmf7NTyagHFg3O_U|>jal@|B+kk@cvXkC5D#1D<i^J|P)gsUI?+~0
z;D%zvL}3f@>RsjA1qlu4+4rzZ#+DHtfhD)^a<&qWDCd&Tx~ik3X+1~L-fH4@2D@S5
z?N*{W+kLBZsv34#9XS@U@`NxeX?fx2)<#$dyNS4bQpK3jIbT}~k}!Jz*l>1ZJ5hA+
zy6b*9RrFu``>r{pfw(llcWmT92eB$+m%ID83RVwUFaN1-B-Cq2mV~m8go(qe55kSg
zn5)yGJY#Ai-0Z8^26elL>^CA`E{G}P`^{9v#zU_O(ZB4)fur3-)2JX%aIg|Ge@4h}
zAA3veN!nO>q4N`=&yh6H+og!+sr|2W65bR4Mm@r~=sy!rH>yadm?>hG@7RNL6)i-V
z?RCcYeqRVqS@VUcdkS!TS+`@%w2es9<Ppx|9w00puySQm6yVKU$a8Y2osfQ7Qsr@d
zka%|N!yWRHJfaq-ZV{y)iQ-)rCoGJIi8HM=8QlwV$cQr!FT2-8XpdIE^xz#KTFsbN
z+mFkk>fGD1<TpLUXtpumUhz@F#OYgi_D@-Om<c}<m+vEXi@)C-x_6w|ls)i5FF+PO
z6@x989`_Ue-%1>#zfKZ*p=`8svofImNglLs`bt!%X>E|mn<B2%?h!bBMg|edOP)Vm
z28r_99}hftpCNdD7qLjQ%3z`3fTT6|Fu~oiY8=WnOKfG^dh$f7G$xdH3-|s0M#u~G
zTQp4lCMG9d*qv69#@(zu!G?9CgnrBYz*44p!rD?sGVHt*YSX+TukINq-mLJQ8r{A~
zI8?b_cu*;c((#I1ukp41x=$8XeqAQEWoj-Eza*faKggw609!z$zduF%@U%Y2TltT;
zQ`^YSVI+Zb)&uiK{xihNe@zvA6LjQVk>c2;%i<9F6yoltJWF^*Un<DD&p<}f>o?1N
z7Q<{$jZrS|A3~ph{!?NK6PdlaM#RcO3~memb#Bm_C$Md~ZmODvOb}0Gv?&xtL`<Q_
z!j(lLFK5C1i~u_s*`8VECMya}z6=IIslUYj)f-IF6`bUqM#__wd=co(><CQ%_m3Fj
zKI+MOhl`xc->|@JE&|bOLCkjr>B$y}?tuC+9&*>QON{kH!tnVOUrzQgkd5-^SR)=$
z$hTZ?r{^++k(46O;?T@QE@z)LtSI0ocNHdbXa@<yU2{Cmd5(pATd;@kXQv=}=*;+*
zhhD;{`l$29-i@8K-MI5Hi-ibjlh5f;xwc;{JnFpYDkoWc_QCV%Au+Pt`@BX@kuccO
zV~){HaFPARySQ#NOOpHz3dLspBIqd6bF`!Il47Sm3U{tblR-}R{|!`%U?z+8*7hC>
zc{Tl*pei9tb}2+X@3<|Biiw>2tnc~BIodmE?>u>OkBfHy*>*AT#qSV%HY-RD&Ui1n
zR4J0uH@*s%`bl8Be1&$hg9thGy|RG(sZ5G3uHNfBEd|%r+Df5*G149<<DNLEk+nzo
zayZyz(6KbPgD+o_jCUE#(fpu6ZcUO_iqDaSM&y8eOoucXD=503-9Vd6*_H3=yQbfr
z42ANikIRw<AFSD1Vs*$POE3|mQ$j;=dsD2kJSoI5F=RNbOIE4(?x*Whflq!~%<(w|
z(qe4g(Jmb->6#e3o5@TA?|hSezI;?7&-<$OZ1mM97rqRRoJ`h+=`HO>144zo^SwS)
zD%gNzKQU9n)~<_52mS||_tnS)d#`ft+G0rVxZt<6$5kITcS9W?T+$$wjeEX0v>1}~
zKirPzi5S6~wfyc^OD%HtY4YWe8AI}CaIVN%PE+Xpn7((wSDW1HWT(`3$B^V(*m7;N
zkOk^48FHm?t=(saZ`aZb1M+lEN}YQ=Q0o)AjV@Y;bPKAPY*_1)KgKHBlF<s>S`vY(
zZ8{{&6{g2;WAsS>AAWRQ+pY0<iRE|FR~_<hSefuTOC7Rme}!kC{|1bOSL{oAq(k;a
zzjD#vtU)FxFmJnJXM<q{C!4_yI%H~tWa&tm5*dHRQ_8yE1{`ksoOS8i<V?}J!jJ5-
zr2R~x+AU>UnC9NM<-Dv#%6FBeT~iVveHBc)rZsF~)A?RWE<}Sgv=XPRC~}csnvP`e
zoVP(-w0XvM6*Y3<XNQaK?FFJY)T^;F-UfdgkDd}PQ6?WIc#Qm@b<r|3PI)b|*x+$N
zxVgBPBKcv{@z!7O{?St1(ntJ!Hehh$pUKY`<;dvB4~GLB*x_gX&#AP=8j|+jUSq$d
zNoS63Yw-Xc6hC8bQD?VC;m7$1=4Em6@3G76LI!*o>rOLX=Wc~(p#dh|TZBoE+ZHLZ
z$^zJ-rs3sVZizgbutVJ6`N;W~F)$1i#G@{&3#I&)kg{jFYE#HfURHSEx=CLMr+T!l
z*RA<y<7T@BDIGTQ1C?oT{Y@dz-AO)lZGr|tWeW>AZ+fyrSh@3QwGet2)i$e4SYXf-
z9+Lrc#A5u6!|wY+pw?ZBC|NPbo37WNJn~0~Ih(hU)U!gM3_ZCJCu5F>ytCRnZd4NV
z|9RAxY!E_b@Mj%`oo2Y36p>@;(N7b*psL%;E`+@d();>T*ZkYx+QV;jrf36_Og%Cm
z1tI<R+KSyb6Bu>iW$KGL+P!GqEpHwOVnr$Sq#Dfxe(5##TMbue`odY2fhmFrGMg9=
z$}xrsWrFM6C3@^1-!peGQ4q<EW*WA<#_$um?I*3sgqhU5O)K{VQPn-<z7T1I=QW9$
zcj8!(u*X~DO{*YO^0!=IVKu^Co{MujO>B@SNU2sqA=nleFHqtPu}hh@WZ%Pq$+TXV
z;*&z~=vopO5H|$V;{o^R=5;t)n-yIAQwTbz*xa1T4Ulyv$?0hk7cS%<Cq^#_<H=iR
zb5AD&(Cy#q9B$5o%95FW2Q3jC%wx$Bnb(Kw%L$$?X<qQ0uMB=LCxYSdn9qf|`nXnA
zF4V|CLGrcSxtcCf1UOgdIJoI!Qw_QJ@f!s@9@Mx{+Qi_$=u@{<SRX8PeVoqk_`tJZ
zrKkT*98ZH&ZgYR3;(Ny@Z?nhzxYEpYGMq;eH#=;N=u4^S%~>qoRwRIIotQQmXDLKx
zY>K@XMFo@ekEiSN1u>GbqRinUja$E*P2&8hi1K8)`S5`d&h&?$Wn3?V$+0#&cXujM
ze@2e!)eFPa?(<@PvkbOV#oTIkQX%%Jy~Dmo1YA_{(uq`AWa(J1dhS^}f0qJ}54{*{
zqqCo!KO~1IBK{iefmG~TAL4jZUmW9QbiHrQ<>5PA>2NB63di;Y`TUa-XgHR++AX92
zwUY-v?0rVX<#)kRKS)WuuY6LzZB_vS0{Sz@>GUCTGptIJQyL9_{LKQI6(P%!m1Mb=
zbF)4tP8-%rqaq;u$-lcwD0?#SmsX;W%~wMjuldQqsnoK0XP`2YHA^!dNEl$0<L9Gq
z(z1BB>$dYA9Thl=4JlksHvr4v<oX96W$}y4)bPfD3Z^c<^Z8H15RP9P^BAtmq4JD#
zt96(voX1r8p1m`~)8rF64My^~9Qk->z+Y8_SxrTohZ=#(tiL^cP#!XL+QS+iYOsrp
z4K<+}L%gn-KKYUYRQ(n@ns2H>_))LzxdmhRw;By<h$uqthvEUz5;YV&67scfG(p6>
zwpU(Rin#eZQaxwQzs6~Zl+lt+LH|w8ZiAo_ro-RMF*&Irl;sRZ)d4dM(=1|HLX;qw
zO4+8=r;5ma2K6KzbFjUs_$TmO3CGGRZ-p4CLglt!Z}OZu4$nq2nEz3NQ9|Z+CSMhl
zMOcQPF13Jfp0z;3I%Rn0CA)?CE8~-Wcsg|#4Y%DxdoHpmBTvvJpW>th>nYDHxgRvp
z+69lZjVi&Q`_M*bK}E!@JnPNS2M+68<4r13LeWaKRNV`C?2{mWiTeV&iuLEkb|@j;
zO<ZW-8cy_AUKBWA1H}F%DB2Av;>^Vl{U;e^!5Eg>yOaxTU!QjDfV(2JpMTspku8lq
zu3;YxN&&KEi?lAGfQx~{3!KT4h;(E!yY>Kh(>X5xnO6a$8=ll_GKr(eE~Tp@9Wd&n
zy1aLh$Atht=ClkE6xOrek%<7JwN#Cw6XeiI#5Ktr6@p9x<9z8pV2Wd6?)nQ^{M?uF
zOea79FM_8BTByK_sdq_cb29K?k)d=K^FcTH#r|%3fXArkY`LNgnmlIeM3gCzp3Cl$
zOr$~PNt0^xZfRuOI27A{=0V??qrKaOXwW*@;VmS;mf!m{^Gj2?(a5)3`Amuh9Jdl9
zDmfBhoR}R->tBzelTJ}rxGeA=tB%HgsyNcZg4QoZuS0wNJ73udbL0ndyvzI~3aQde
zxsOSlDESz`Q9o~nKI?)ld^bdJYMbzvAJZIIe^6v^^bs?J*}09l`U|6Vk0V9v76;B8
zdl(-5*%TKpRX3dX6vD;lXPjpuIgr>c{VCqb6r2y8w`m*}#6aUhvwArPj-R(av8Blb
zR}0yy?!*az<C<jY4FOJszP|E)^BSLj*lBfze9w;ykD{MEDd5EUC3zFZT4OjIQ&iik
z!VjH|OI|Za)}i&Hvsa&?G1?cb9==cK!<3nosn5>!i2D{Rsa|7*%&>vS57hXO6=iyi
z%ZCd$?HzB>EQ~OCv?2j*6x>4XSlTUac;A$%^Jp?e&!4^fKgCnP+m_5y9Kr+U_X^r?
zb{OJndfBZvJ`|L^sO`<B@*;3ua7WXK0er6A%Jp@o;6zll<1ifs{_56~x6T^CwPB;Q
zunPskfi9|tK2zY8KExO!VgQfgltO!d3O*}(B-+2>gGxyAz2RDYEX`N#kG)O7>r+NS
zeNFsmt@D{&^3q4u{oh-Tuhmm__t%7W3V^+-Ye|_~A1?Bb;|lcFaMP6Jnm#9p$Wz_k
z?G04O9KP~yZfy?a3QzenWnm1g>YP4&mI{ukqsP?6`Elll=25R>B5-UFO7)?w@nrba
zih2n@j9t3ck2H$H`}sj*XLc&Sif&98aTdTkAtLOymN;(Ka5KN`)q~mhB=N251#!Y-
z_rt7W36S##Pamk(18dsz$GblX;=gmB;yNv)aIHkab?A;Bf>uV$7i)!}!Wm=lb6gr+
zH^MHmT+;)gAiImFR2W=-*>`u^%b+X3(I_iQ4+`%OZ}qJbL1JbHeVmponp48|T#wg7
z>wDd(f)-J1%{+fyNK_6YFO|~k?&*Q1^exwZMGWdw>y|S)<niCJFbToedWhP__9@m>
z0)i{*#(t~vP(N|i`RcMBv@__=?~0a$!d!K{-JAksRQ`LuWKPBAU%4?Dl>$fM^77?L
zMT`|c+-$n0FRP8rkIM_BVH!MY*4M9u1FRvnOMj>^b(5exKCt#ri#F~Ld94gBQTgZ9
ze)`aJcUG;IlSQIoN&jrV3KAwo42%EhLq6IrZgN-_vG^Ih@1!bzDR*tEk2iqK-rvi}
zlSA%UY=(!r8iMLRXStgjV)mHi?52bA2#x=1XxgL(^@f{of|m^8lU{#(qm%+dSg!@H
zt)ha-<=^3#MtHjQ-k5%?0&IJ~bX`hNhp1<7%W#G<9!^xdv;`|dp6B0|byez^j$WVl
z^SlYjIYZV8ZY6jyAOG!Ipbo!T$(P@J*L>F~z4W0JC9JZo<B|1Mhp(B&`GoCe7}NWy
z700ZM&DBvXdDCiWVjCtcjm`0dj&Nl2P=>Y+UD~LX8d&yjpZUAy|G%pg28rBMhFy%v
zqwo7v5g5K{zGln<o4Lw55~`K)-d1=qf2#_@_pgZFEui7SPbT)6DrM{+`)wmiQ3mx#
zgm0k=P`Dhcc_CF9cjvXyU8abk{mr^b$AJe~$vY3ZD8ovPv%k(*VU33kwyG2X&wb8I
z<<Bc2_h4*=_d_{Y>{4or`v_$0D4!D!Q^KLd@s5-=-A?IrX9=7JY@9tGIgcp9Ywm{E
zt0Zag?Y@)uZy8{?N4|_PR>V(Fr;l0+lGxOvkUO*hOsJ@t9zCsq$ybka`ZkH7qT04r
zWfT~%IyCyNKpsOS);FWp^6*}@q4#oc0cY`|7wbRBL0Cn~cD<G$ZWNx;+@1qO90>Oq
zpOnQ$g)0mCbo}_V60mJ^5HR!Qe&0@3SxmaWXaCDj!TiQX@jJ%AmxcuM0T~&Ddp$Zk
za*PL=WxvW&{?O2S@s$=ylSXTXPW=*v3%ryqrvCnG^KAU5b-GCsUsu!3uDs?%!00ru
z@mCA9rzMVfNlW0^>c<<~=h@L%uu)me!2%s-3?jU7V#txzd;BYr4gR}~b-!1cL-o=1
z_$WS6%s1?Q=9b6`u00iwvQp+a**%iLTrP}W&cz7-2^K8>>C5DdGy`c=6D8m;gjBJk
z_l_mAz~uh8>%A#ctp4{`yx2w%Eu&v55y66`<}D6Scbh_&<QImC0A#%a+KS3p@V(`+
z{_+bG=q>sUbZ_BD{<J~nQDIiF#pf%1p_%}pPUV`Rd`R`Xe9E$v6_xBeCEN3iA(oo<
zr>2ntcNcHo+2d^Z{E5e3UECNSvVI<ZsY+SX^>RncJ?s$A-=d?NVuVgwFY~1$UQ`I>
z@%J3zfF@UElMKZOXG{uDbKCObTS59I+~!2pW}~aRNro^^`FAFAkq0%WuQ@kNtV7bB
zy{$Kd4dFm#q+j=f2R?7tM&{0iYTKMEQFjgSG5K!nn|vNTS5C`I9pi@V%Q<sH9Rm>O
z<=Pmsd7#`cwPN>{2ZT|kV1J`NiiKm_I3Dug)3#OHz(>3YwyZq(#6ur>_D=au9X$9@
zIIdBePeEQI-v<7_RA`kiNqep5MNM3tW_Af5eh;&)H^`zw{)@a@zZ)<3U+$V*e#wvE
z{E4n$J1SiED!5*)<HhL??ZU_z0gUD6{xV(T!ywV_XQsLo>`ve4B%mb(*BJi2Gi7?%
zOXYku@`M8Vz=MS+&I{vpf9p1ZAU(vhzZ8kz&4<JLJpK2Nh=Bjuqa3QS9ztV7mK`|x
zA?|wN#Z@mcI3U;j2b&(0E>c~sTKS=yzW>d>U*hm`b=WvHpbII+y3*vee4)$OmZNY}
z68*QOCI2<*LNsK&<;X2T)OB)=4ya1we*gdg|Njh^cRbbq7srk4z4y4>YhB~I_WZo8
z$_gb^6p}<rG(-|w3K6BGK|-az(o)9#v?ysAMPyUPuOwyj^Y8iN{dk=7KCjp7JOfmN
z+QuuGc%v9E(Q{b_=L1}eyCf*6T~E=hC}TpkG=^vHp)7jr3-0mosG*9(%bU2*M04`c
zhJrphFnFlKr#RJNuXIwNxSol|C3;h;x&mGs_<JyTsdy@!mBu#8#I~-;wYss2xaX~T
z#Z!WY$-k%Db}Jhp(@wYVziuVi+VI#uRnx$WYpg(ttw!Kbcbxd_rvlk&$1B&3G_jSj
zSiSJX2yai1Q~pM&BCnz>KF?kYjo;4B)2PN6ejJ|TWlaHlm_8-eRU0|}i!0X`8bhGQ
zL0&*e4au_2A^y%f*j%LgOw_~#(Py>)c=W0v^<(7W3R61v9hVe2(rE(Az0XTW9;t(J
zKTyL#NEiETqkO$Cm|`%8@2bsdD)foAAm2J&#C)|6%-?Q?Fg;6mhfOqW^Qme4xls>Z
zC0=^<tIgrLyYxzqx(4iL3cLAV>cLz?(r>qg1s2pZd-wNfp!sQVlJJ}!j62#n{7o&<
zx<Feuk*<k<l^y!}vwHZCu_fz}l@&(IR4adLYN7jWT-b269%vo5^HUDim?PF655J{_
zK04>_Wawc^QG2(Ciw%f8uf@}1+7Nrae_!ZPU2NXBt37A6E%YkfeJ3_(!}i}D>jS6g
zXwn(*x^GV45Vtn_*CX24Gh@3&%U1`=mUFzp{J`WtdHXd-wZX=aeH;2)3m*>G&)<&#
z(C*^7W~(+5;zaJQ3f2V2P<^*hEg<ru?Am~mHXi9bUVrof4Yk_>gKC!m^^s=>^d4%V
zA@4~1$3N<raaa<rGO$B<?S&Fox)$<v<b0HM)sXu<A+FTj4%Y>bB)Fw$qG9?ceJD&7
zfq@En%^U2XI@a@kfz$w;_Q(qCP{OcV3`Kdp9lq&4PJH@<h8fY+8>bB9AsG^C+Y37g
z-c>upT%zK?{o*Q0Mlw(sju&{VYzIo?;UXhGDpYJ$rLH7MqPRy$x@sKA^$y#zUqBtZ
zw6-^kNQvXaE6cKiN<i**#>p6dH5~GIaqZ8P2;TqcKNS)SJUJ0HVb4#&$f<;o{;h&A
z$bI9~U<er5PURgHR>g=bQ#?A156vT+o!c7;WHq`Nml!MKrAG79r}NyHJGJ3numJ%N
z&4_I&fr_}X!c{v@iVJ<6!YyagZQ*WwzVCjKJWR(nB-|_JglBT8r0=i|V$+(PyjI9T
zKH4eI;yMS~L%z?hakPPrLFnJ~BpEmvIGPqOvSTjx@%WRg)({c#>H4H34c_CPKNRk;
zW2J=+EqmSy2d)h>+S(=YS%OE0b)6k)LT#RxHd!IR>9ozehY~1`q<Z(av13fg=u}9J
zB_2lqmW;S3j+_LMYpRYM*wM>Y<*#Omi1BfD$wo0urESUc?cxC9D5;-MS-_%W)7p_0
zVu(^*n^IE13ERgPDn+NvF=W%JH@Hz0I*9|~{;4aF6Yx#bdb>Gz(p-C9UKGJ6F9W&H
zSzLJIMa@0ZVTOa-1so#o3!`kY<?NnHZj@}!k7DySL*Q1|<S;g2%++)VM9lGkd*!*h
zj*q5rxUtSL@vsmcH|@=OwSf=1o>PyRYfTZ|cg5)<T?pb5muC!{`JrD=+osuOf>9<9
ze>0a5@?*@0r?v~?;OXKE-N7dCwMy|jDj<Xl&;M5T$O@yodJm3I7^A8`X5Pta`F&b1
zh5B6t)uoH?-A))oy(8M}Z?+JU5}M5DBcd1@Q98eqVvKu_w_87y6h^4I&ItXt7_#1N
z*VcMwg!=+3XMR=-gL}(4{X#wod=BwyY78}k&hr<69%&-@k&LN(#*$ch{F>qeaU&=e
z?a~Ui69sMIMMGMQ6zs?UJM8p|iO5Vv5$lhlV2p;}5383(>}-_M^kF96QJ!=RMvGzH
zK;nx1hO+p0Zob4DOk_DMT`AEP$33d~!R87%j9!Ygo8n_4=SJkN&Pj2oDSFe6xGA7+
zx7CiUPDA8tf2<#Ck$~dNn;R}min#e~@XctYA^iLrs#Y~fqG0~VO!Zr3<O(k|e7|al
z=VrT$HnvKECcDOrV}mMeD`p=aIctdcmoKO%{z>CUrfuqo9|aum&+9g386xz0g_exI
zEWSMspi;M~K`s%OX08}w&c-KS|BxKi7h-80ht%=&Uzn9=l_4bgwJ$vFS=PD7jgVJY
zs2I)7RHgqg#6_CWr+`h0DBHj70sk8sLM*E)CN!Af&OBhXaa0Lz_6?uuGa7is#WyH^
zkcr2ey|`k}sDMjJH*R>@hx(5_i~L_V6FvuP=zj}UG5R}<&<oJU>LZ`l)cYHu&wNXO
z+;IxrE8Fv@PUs;0R4?t`xDmn~*El5aR)gr-HQqkObjVl>iG=4H!>Y-|SSmmrt5MGz
zc25`VN><S}fhH(_nG|a7w(Ls>U1XyR^l;0&yRXyA6v+-68yYQWQ0a;v7uuzdUrz_!
z%=OKXqo0sSU(Q8FsDNv<umPM`^ZxQRF~?mo-K|V^O+-ZSy!d+10G~T5e_OAyz}xJr
z?rWPgasMf2gJ7uvnq7V4-|w}=xMmDbd8QUF-mYU#W*Ok%k(_hw*R62d^rgLrnKqaj
z!OvWo2DrR1dQH348jm>!TAZJ0gVNi(3&-{G@4}RP4ZAHIW2a?Bb#zc0@a*|ax*p=%
zqXlHt2y|9#8^05&1FocyJ>zb=xUQ12!&?T+`uS!moT`I8>-9>O-sr&a1y2?&6L8}c
z%QlJAfpGwJ4^2cH5)xbe{ilISm+f~Vp@aNiIoT6hnz)dvT$`|*3m@nWx|=$+VPcrE
z?=g)Al;67Em2L;;s)tT<9?SV9ofdLJQXTo*jtx~-+98v7eeKCBT1X1~v!1zvf{-U=
z={oQ2U~)@nw`-#&jsyos++LxK#j8BGRX^C_G{0$^Z<hud-`sj-V<Hco5B&^gjU9f+
zJ{WcSN`vNRYs0H$(s*8BFR&-i4!iQIVuoH(K{|g>6^oUC!jgxp`3^f6CFtH>C{~Bt
ziT)L(S4A=H6&AKYx5G=@zY9DmYPeY&LrZlR#2Mk8zqAH{gFa3_1-4MoCETcRMUEG}
zT#Yl+=K-_oV7)j(6>p+cLuvUd@R5CVG|~aMAIMW}>ZyzsZwFH?-mqiDk)@f`M!=-F
z@velqB9`(JH|kKA2<h-oEi4)V&3}&(ZY7URL7W?YG|mxr@*E96qHN*Py56llKo;!}
z$*h2g8N%ttWcj-)8=MmHz1meE4HujH{7T(Z#A=S(s3sm8SnV5oIL9l6ecvAP)bULb
zo7}=1m)2Y3G+#tTXSM_u4yNpX_TeAluqn$|s>BNL8Q@Q}7l#~4=ej97MaU$_mtCB*
zL>lR*<s&JE(eXgO$PZIQ!Mfl6Kh{~|_=Oi=cJhis;*sTN*S=}uw*2mRn{o@-CwTO5
zSqY<6va08%{VWmbC(%(WYJoLwazpM#f~b&@uKzqRM?CNDTb;7c9M`0{w&gkt;AeV)
z$7|LCvES{Z=!GsbL`1enJkaEaP@UfBr^Y2B>-H*jE;loL8}`|D#EK7Z^`|c1<zz?R
zO=q2tHKs5<^mFQ85--;DM6X<D$^nkCjm?WjrbtYUy6!a1gKW1QajXPRL|1J-dEu@J
zI*yNgZ@a{UuI|=E{;w<W?)%ZY5<L?PoA%z{7S02{9V-R<T)8oDztr67o-r)me0udO
zhzBM2dTsW#@Stzdwj$KR7*7=%bKf1|!EHHaPVhcHWE@>XajY|f^1!Y2w_fq!d)w@Z
zQicF7dNrP$^ff{R_wQB54S2B-nB;bWR|qegTSN<fGMDvf&hw~-7h0N1#tlotke3cK
zJ9LVP%dZL__3Y+b&Vd72scE99@zc|JL1!Y9qi5HG6F-6)FPPNa7DM2GyeF&45IK8?
ze|kUw?L&!oWxB;N!1CvPooEPc5u5CgErJly=kK=FlEhCz{X$10LtIO!N)#v(LVB%|
zTF*%-NEn-*x%)o`v}K2y){2OrJamM+ltTtP3TEDC|HpvD7LQMamnhZ<oS!nwl|@Z`
zZu-T83<%yac$jP;hBzk~iri{>6lH!HKJ3Q8<E8!8HtOQoL#KVaEv<;EjkWJov>BML
zn*Y8^PXZ=B;tk@<x(-Qftvn#gK#=bJZSiX)5kPypK8;ru@7Bz?6mc?emK+SZeL@Nv
zj~SA@DiplW)_4BCTn|5_7@ylNjZ=uT^KnuGZS>jG5^)Cp&L3Cpbd<%_E<TsxICZ?1
zjk&bPkb!|A-`Cx5<WOum_OZN{3c<7U2mS;xK<Tqps}55@<E1Z@Sz!&#oX%CAxxv68
z!EL(g6eV!&K4k8`LlgD6QbEB>%Y8i_7$+u_am0jiX;p(3LR$Zll2L}(ILDXi9I1-v
zSQCo_dOCP}Md9tx%<{iTi7O99P|&$1_>p-!9W=9ynUpI`*zGF_@{Cc#cD8h`D}B0{
z)hM)Hy~PN2L~Dmvk~+lrINoff>Ept&zhmMy#;7)ZdQ3E%ifO~f;00F${QAnA5;HeJ
zsdD-^wi`4o#Sf#0#sJY!UwFd96uyS%-MT9@!1bwPV}2R~!A~o;oJlf6^j;yq2ah$O
z6}eR9-NJx~(~ZqP8qA?S+C}|-M+>XSJiEXt2Gq8MPQ2H!#9{H{zCmZSk>%+c|74s2
z$FeO(zcQ@gcd$&dZoLl5^W6F3s~N~HjCF{gvj*Qu)K$&uK(e;K&)<&$|Av)Pky~xy
zd?+%^DR!CPsx1BNPZ~hAciQt`HGx6Z{sHP6I$S@Fop{Qr4>q%$T){-(Rb8~G%`hF_
zvs|tUy1Lk<y+i4)upPYG>sS0}UCwVwjl^bQ9Ta}iO}9(6!@Ag8$4xWnhzpEQ|5>fM
zyvME@7f0<7CGPAlB0)!ln)S>_XBr#|@=sS7*(0TMr-Jr&9oT$RKmO>A8f3Qq;cg1F
z$9qBlf$j`#7)njiv^`aq@ACqV_!xUI%9{_5oY4aHa_d|7ZwiociyU7aX^;4#%H-K7
zO*FAtbz{2>7~_Yy?|IteWKa<QS_=(qnEAB(?K%mVow+4escH|-quT#Aj#F_)+U@R&
zU=dgpiBy*K*kP~X$4$<c)zQ_n_r@~;KD-zW3T(_??)S>ChaXm|A%~jxF=3f61}g(j
z+u7KmDMpCv$Al_!o^(q&c`p)%4KZ!+yMdNp`&2{RRUkHUH29zJ6w%-Oa-k&w&^w>E
z^G%~7?q+xk?^^$xxbI;hzFH1=w_wq7Ib0q_f1(MOf5U{*p%UNi+X)nUe(HElmqqf`
zf=Q>Mexg^qF!xlxEhN<r{4SD^hTohsx5=X}f>kx3^q|=WyxLkVhEz#-baToSrneK#
z${P#ig>A6(n=E(PEDrm;wS#v}zYxUf>!Imx)-bmA9`AT2ijCo~oeb$;h|<TM`srt^
zQ2k}sI6Yq&yqT<?OH*wGX}IJW^u-dTL#usEIR&BdH=#PivXgL_u6&?HwS=d^#XQf4
ze9*H|_vrNMA?|do=KsFW0<!yrgm&HK!6R1{2c4NdBEPWmaYmy#R2-kUnT&8@wM2V&
z^~@mgzdeUUd9}>3*c_^25V8Wbxe#GunD`WNXou-ZGqg08-WiqQ#NYocl0s|82!q3u
zX>((yxb{wHqY66*{5|7%HkgbPZ0<W3EPPCn#QSttr2;$pxAySnt4t8mC!Pg;eqn;>
zGq*qd+{%Ulrpmoy#Yy5)Ttr}{i3yy3mS<irTOw{bE{ewK{v#H0*i_!$Hpc5?r#ln7
z7m2}LOmkDuX`)~?U-|;g7;#!=Lt>j2iRtIZR*$9562tB`=k1G(@bmCxheG*9g7qhC
z<H62(BEM16GfTq=)O1Z3EZ1B1UNzt0x<u@FQO+1FV}hC$V*JEsktnFLp56UFHhh_u
z*kEhMgyxU@huQBI3A07xvX`qk;OHVcTky&dcm3*%_!E{0A%)!QD<5;>Vo_7Oyq_U_
z9yDF!WU|3EDL~|<Ef;>Zc`ZHp$p9b!s;5HF*x)dksO-?o4R%J`$=p;1qOxOXwGr%i
zCUmf$t&kV;dBpu@Ee3S<yGI;mazI~N<a^XnerT5w48}zRJhn=xT_MehZ}mbG)@gz$
zoSs?79MQ+yQr#9WnH6~BT9xWpBaC-DD#r|*^wIv2yW_4I7w!qsUcO5g#em7Pov&}{
zLHSe4?%T24*lEp~`Jz<}r@smAs!`BGVYG38LMIPuo472i%_Y!i&*?aQK^Hn9{UZ_~
zd^nkH*vtMz5?-Mdn={pQQMgrW;}3BGG+q{n8upXMsIJ-RrfND8#Z$Fuqk{NwZU^hN
zye#Cllu9~>(vkT#D>e0(Fy3qpx%-1n9#`0Ep1!2eA(`Q&m6#=p5y@Xd(L#z4Dsl}7
z{jGy@S}W=uUy9-US#w@*du6m|=F8vwqJs@B6|GmqB%rePie=WaFHz6r@7lRs|Mz`o
zxLCX-Hg{4C_MM|(@LJd9g+DsrHoKlJ$RUjzmqjBMeyL&hm$ko&Ast3S;ZtoTGPry0
z1^wd|Ds%;XHHEY3IMLQ8kQgZkUdFL=Kl*843kxw#RMth<8PCa*bqct#%9MXwoF)uT
z>geXS>4LGfL+!vuC8TKbOuDOT!!<hfXG@(PS{?2x`6sC$utxcS&nF$+aoA3b{nUqY
zz#wH;zbfpHWH9qi=)zm$!D%Nt1NV=W7wAZ;p}#@wQh=2{{NIYXC$leesM`M&zj>-7
z`WpAC_C5ntj)tG#HE#&_k*=#H=c(}T(~=Z<!hp1|-;F#aBkb@ouYAx;gDu4<IwR5$
zhOssNr?wemO8~pHvYsXmXLEk}%guyQ@U*-~vk6|EP)zQQ)<WI2{DGT?n2_I-?V%iE
z2EW#zvCiAt(507ae_Q7Er4pieLfit~-_vtAKI$MisZ7J@D-+K3vaej)ERoq0YJKc8
z9mCvtVW%sYc)EY_o5C$?6t$e&;q*usb9eui_Bk`5L?78LbjTK)O4&cJ3)RDcPaC@F
z%l!O{(PqP~3Md;Im1lJ6L0;;p=WICx)mP5wUi!1_&ssg(SIg>yRncEoDq?^fvHbaz
zdv;jxmUQhG*2j~eq##v4U91YWW3FFkj~eF#3|CSQ2_ZqDLEhSE5Rtko(PEFrJ4@yk
zdU_B)FBx%zq5=8IzKRlt1A1};f=o8(BDRqTy4|IQf;IaFB*Glv;m^qMcA=v{QYLlK
zO9h>mc1woEJ7BVdLapJ|!QI&08#j&RAh!9k$NpvD$-0v$#kI_FIfk*ji!vlIXPj`w
z-`)XD9(k!pBsH;Q5y70876kX&!$0R1?GfV=6PCN5hOXK&rv}9ppdU+k9aCzL_L$FR
zM(@>^eIfLTh{g<2d}1N$frC9N3&!d^sA}+=Km3*3W0<)3NarD=bvgGFjVTpJmUB?t
z>sI!qmjttzyRJOY4qvuhHagL)gygxSH|tilvP$YWzS<1~)dSDXrQgVd*MdEH?WG~s
zQ}>D>t3AMH=ZFh&!!oe8$+Vta^NaO$<^RNrCJCH4^XTnk3n^@MjAA+8m|zK94hr2W
zK;T*MTvAoFI08yKA$D?-rT;Vc0#nO&dEUyw4`M{29?BD`a_TQ@u+U3>#MK6A8$S(w
zs20R4D_&WjuD>j9Gv2b1{niK&{vO3O#fz2annt9{|FV)K$QSlEt>A8S$d#4F1#`Pj
zW`X)&7A1?X_-&sh{=_*2oj$>Vi4sYpdp?t_+L19HLfsO@BBqqcq9sC%XF-4n`oq%J
zXp34IZh;&=VhEpS2{X>ayH@&4u%Z)EOO8D@$7qK4@wxN=h<~Q$)h8W)v%He!0}A-f
zvD0;!OQwB-pd{Y1w=)}OQOSFX4qMG|a;5p<7Uf^W_VvP58IeC(JzKKYDLgZU!=CD<
z+Kt16WOdAx#n~}d*oQ31K6O)^-s4+rxMqMT|H{3gd0>Q96IU+cd)frt{*tCjb=|}S
zU&r;j@L|?bMv;Wwlrc^hoOWvEYa@J<><ryBf3Spax_d`%H%7;;{sx-;C*s1X4*5BS
z@2p$u$@zCXjF59+2;zBl#O2?ap?1zgEQ@P@k~`NKp<wA~U7LO-;c~6u%d5MCEDzp_
z|C&B9Q9k4uHmh--NKh|*^T>6OHB|c5Jj#QKvm44-cWjDTeC>R?d@6&iIJZLC+-06(
zb9XUYMSaSO8rv3lOLLHAvC_VpzQGXZC(nHG9(}>8xBU`c5;Dj-?=x^yvY!E0!Suml
z+Xhy-^vkoZt%I!Bz5-U3Q4BQ5P`l4de`F;-N?L7xaEO%~-w}44je$>V2TY2Fn^<==
z*7Y3l{LVV8TJG^i(*T}tNxhC6%loSLXn)$KAFRv(>B1CmeZ=N8SNi+5u|E7et9a<r
zFssFKQBU@S9t8Bay$|B+U_JO>f>npuD2vwL#vjVkUFIb7q{zB&tc9_l*;aClwRm+}
z%42~JUL$p0Teluoa4)~J#qFOgCUZir5_I(XY31j>>}8EA5W=?M<1DYUDg3FaI@r|s
zTX^2HpJk9GToQ8aH_ONGs?VJ-+F-?OxTx}PfYlQI$mZDW1S`JWdYvR)8`+K=cvU&X
zdOmnrE-rqOH4}RE`Mne^IHkq}eY*UEwZ(GabE?KaR%r43p~JnJpavf5-*jt)C2vuu
zvU_QYHDpqSgN~XA_Zl~T-ap2onksn*@z1haZIvrZ$~2HPVe0e5;}=Wn!h)u<+dNBw
ze=%D|UIU`r^8^^P<E-trMi!HA7FkYW8=ZR6XwYaT+qHI1uu6YEU-kVZ8!4KgaF)tN
z!>E$-0e|*MmY+JuepP1<GB0+^56KiNzD_Xv?$!KdMWz^Ua{0?i&OV^=OmI^%F0!&a
z;>Hx~WbF>6h<9A%?Mxp+G)o<w;nyRKYGzo%TetL%xAKrRlvg1g6m^IP{0dX!pJ%yn
z`TTk;!B39s$e!(Zq6S}?F#q>ii!8N-=6@n-f~4kVmmg0zsG)jhAX)nk8+p*%rJm&|
zLQYZ-$GUN-VSn!dbA1yIa-Z{NXHGRSa>=?rE$0CRFCA;<a|bv{QQ=qBZm-43uNTjx
zHtnHc&8?fY8(3VVa?||hcNZkdXMVJzG%E^@>Q;QNe8WRlO7ZPql`BmSobJAPS%QLd
zKNUIMdHKoj9>1^W*UOT_J~{$U^Qt%;N3mK+6eQmTIGEJxDUio@t#YxLR>jp&@JySC
zkn0Jx{IqvUB&&~jUCmE{YxVI@O)_HS)NYwzpY^Kb!}7pe56mbqRncl){Y0D$o>$`0
z7@&~nWH->CrBLu^n_V?ES(0qP@Rsd4>ZF0lO+lYY3LK@V?Na-sN%5a4ukVG@$X=zM
zKOfJi!RL~k|JfW_l1aI>zG|Z;`M<;?CZ___aX4`z?Pi}mnPJlvw6sf`d>(%2)7NcO
zJnT5Tu|80VwC)Oa_Pj<XR}Ne1h*r>0RV26eK94F{J{0fbJ*-ET^~d=+xM{+EmQAW{
zKZTqL@z^u1${=5_(Pi=w+9-BvzMnj=M&1&+|H{Y1kW}*WsQ;EjM{C~u4D0h$GJ~UZ
zuShJDEaprO+UBc|=fP|5D?x+w?(8$L$}%GJk`{Yq>KR!1zpJ^)lbU4Z(Tp|!Wf+si
zu?_pKUSYx|JbV4y+uGz_leXKs!6sy?%I&I)_l)5;bv>KuPbX7)Wfn*0OvsUU^FMCR
znL;_9hw*+!m)x0pao06hQ<8e(W>`mz1uk~)NqDzkpR^io5u3F$B^9GiO|c1DBZ{tN
z$NkcPTzN!O{#=s@`P`XdSXge0;^5z|V_^(3`_;pv^8buUw%up^I*WiRwUb@tuNmaI
z#%FnYWkzK3nTQLFE<3b-YOxrfWst0c{TEB;4ao`(@r+0R>@i%Do+3EMAV2)BWRLh|
zKnkT)lh%C>P~HE}vZjtf`iF4}iSD42@o{6p2Xh_aAGDnnvYA2NT(AAC{IUiqXT125
zF6IR3wA%#zlmS_^eft5kdJ3s1Wb1QrjT0vG2i~7z(<ghzv_n{?@??8!<`?&MP8iM~
zu8!5$B{#3<3%QjhMjmz8KWU-igvxBrfoiG_xgclb!E=R^q{hA1jQ;3|_1Q<M9n14q
z)M;#&5FBQ)dv8kY+~kP!i<~Xb|D%!S-#@z-AMYoM?o(O9O%7PS>(7tI5OtEm;kEep
z`5aLz8ylEx<p2Y#<YZ|Ig_KmB&pSE10vF{kM{8WQM{?<hkK4MGNVTUgstnBd5qmsk
z+K$5>k8Ibja=t4^>Ynl+FBKNXAaA$KnJ_!_nI%<=)ku+AKKXmaHi}{owJu?Q3*b8}
zH}XtOoD^^RaruUk7(O05H|Dbn_&)#u0RR6C*JmKrZ5Re{d#__1viIhkW6%FZg%o8A
zQ5r&1R;A+2NTpJwC@CQnN|Z|HP)dr7$fiVQB0{0p*XQ~8+|PaeE~X-eWWGN?<5-f5
z<i1i8WDClkT|G@;?@DxNs~#ugk3FNNc7y~6eqM*BL@UVH{X08#iJ750+3rT3CV_To
zQMV(*5@R2BxwtGY(0A{BZcpkWVe(tO(EH~W2zWUD_esGNy@S6aL;4{JBkj6c*GJ7E
z5p=5Hacm#`$?;-?PcbCSTU<)eP%_7%=<!>DS5oM`gJ*)Gok=hWH(fp$Xa>9wZ7wG|
ziI+NGD-UUqVA=A$>S(zs!hX$hx*i@Oiroc5<M>Hf>dM-5gwGW638k(zNz+7(w6ljh
zGYQ4Z{Z54;CNTeUM?lZ(H&NKw{^t@W3GSg8&F5Q;p}?2PU-#q>kvV&cq^n56sY@${
z`7nm7NX{3P=PSe}iVZc>g@lMm)r+^wjc|JYa?LwaX81)`T>W;PgaVHAX$z_mcIK)1
zBrdQ(*Z+rE%K`~9XV_Sr%M78q5NoP&n++~c77zS8D2z3&*C*eZ8{**9I-M{x4zzqX
zS)BMM47%S`UtYZdZf_6PyH(GLy)C-`2^5GxMR?cjg1-SA+y%V-J-H#xTrkrbB8nif
zuVr8V>VqYdp*cIm1J3JAmL>LLu-U5fD?Ljeyc^C3=pW}pdj9EQafl<DRZPRrULOH-
zhO<|s1Q7YuATHj8jHZ3!YmygfxG)?OZ~R^m%Ebv*5it@NW^8D__=tw&TZecS-v~kd
zrl*Tvy(E5~Cx03`Lc=$e{~qL*kpL&Z;2eq+{(0maSGJ<z@h4G+!vkSx+L)(aD3gZ4
z{r|QukZ2H0ZSoB$7eUNITa3A@EOx%FjaU6i#p{>%i#Ifgg8BKW&T3A1{Hqr)Ozxz@
z&_ZO9_FD|M*Cu4m{F2AstbLbMKT@Gy`pr*)N=Alo?zTsh3drns9%pT#!XP0_ec+@7
z2D+Sd4QCY*l4$s6%ODl9LkFGa`z67*?I?#MhcYTodR}#6qoIM<pM29z3jWM?*{+Hz
z5KA_bbuywsruRt2-5zO>{8H$`wyNNAo6jydMnlEV)ZamovZ!vJZ!0>Wh9d5n8&6wk
z*gr3!&`XlX%l_W9m}}}_TanIX5c)XG|L#-olsx+03O|*lYd}}R#p6qjKHA-)P6mBa
zz)0tBR$8wn(nLR4{q;3Kristy+A2k?%z7S+nb5*ot8PY$fFW3IBD7x?D51jikpA3|
zHV%g0&A9j35ceI~uV<$zL)F=~^JTRTIL8m($a-RgpkUG=!;>nw&vIjXLZmJZJUXJs
z^}rb42d;(H`l~{J);73$MHjhAzY~(nO(3_st5(HG4K30<whEi|U@^;ayt%;?PZHW!
z8kf{yYdrl{YKI=kU6htR(`F#*L}Zvs)S)Htk&>XRhwDkpZ#vglAhn66H)*GVYALCo
z24%W%OSu};veptBTnY{gH5!N$SeCdjse_qw^>r@0t>A9IEpA#$6QnZfh{Zl_M0}D<
z<BuXByKs_a>t;<P<%Hx*p4Y<TV~XZMt7{-eDWd&`w<c2T$jL94H1H_0!XdU05Vwz-
z-DshSJ`q3Hv*zmHdehSt!)=Wkxpb1rtOitv?{9K)Uwubq?wt<q*2w?<Xd?Es29)>v
z_fou+@uDD<e(Ah5%<~yS7beuf`{)n(iHjnb5+jlai>;wbI!Yd-sY5dC*I<*2JhCLx
zO!Hq@V{hM-)tt8)<~8lMaMw#i+(1X<Z-q5HEgqT-1*yWfVgJ5tHAx6@!s_xZYuK~w
zk}=(_f+_xiq|`<+IDU|P6dz@cU_*YFt1ikYKfmE6cfBxPD1AMqvd$U|l8V%S#!BcA
z$qCpZFN9Oi5AJScvqsKx+LX4WA_!~ynch5JNDrl*eft7ncXMYrEXjkjnYW$(iW4h^
z0-hQN0ABG-|LJ#f_>k2b^zH&1q(%fq8rJ|PikM6N9>_qnlaKZOUuMjX-b_h5Lx4ME
zYw@XjQjpg>)p>IMA3=NlF{Ssj6#_j(-#?;DA~?Fq?8M3vp{8y9?4pVl?z~pD()>-v
zBA-*;>4`r?PE_|(mm`+gG+J?=*GU|^$KP%Id1sMm+}mLrRAT|@>*usn>qMdA?Qg${
zeUbR(B~$cD!~$o|J%41mM+60mjvvPs7l@L-ye>j}&GE+eP}QKSFvgyiikSs35@-Iz
z->j#bVV~}kCqvvMY>wgJ>9P4kJQ~+evXe4HUC>K)TLB?>erw6NdgL!r>zF0NIA#jQ
z{!hEl?-oF!$ZmIysU>2&d~wRwJ`?O<+jjKNI3HF-`B_AYRtV<}Uv;%@O>l!l=uzi=
zUd&xucRhbI6PAv%jMzOg2FFg?R>fQ%<Su=F#<i0f5eorMPZf>fXvkyN)69*zFb$sS
zWEM34N%cugH^Q%z*NXKi+{o=a7))<u#Z_abRJxE6{7;+lCslD_Lg-#bsR}z<ysq5e
zf58xpj{d*VkzAO&%MvhjnFIO(ZN0aJ3{jBRn6lu*1=mLQ4s$XWv^56U52qV|9`WQi
zEr<&&rPJBGkGXLqHnMC^(EyK|sSh6C<bwP}ce7{+F9bv`>N=O{L)U|yd+P!h1h%{p
zJ#57fHvWIf_g8a4SoOKCQxrGyET%6ePy}IP{b1O1kOqS|r*9%MJh1SdWLmi`gruGC
zZW^AZA$3#6?xVvz@EX&pY_B5Wo@VyYcXb+a&#v>%_{0l0->jWmCWVpAUJ{)5iHg(F
zwBKFd`4E2M$Fn7>=<2*YGiXnsB5Gfe$)LOdb_FMyh9`@`Y<6qaBtgYbsebkAF@jLg
zfA+|QnT)snd(0x4s5sI{n&68Q!hPD#6~&7Z;F9nY7kNiP{2!<NUcMxx6CC2cCTlSN
zy!Y&}3<{o{WBNY4K^PrdeSU0Qk%E)toc({{6r?D8DL?Kgf=??}wrpQz(4&7tP{xM>
z8<VTAdjmxw<(-yh{Y?%nOgotUHc{}PrZTVLx)?OeX65r(6fnInG~$>81r_6-fs2FU
zC<<Pi8>Fa+*}$bA^&S+Qk)dWz+Dc&e;Q6opTa>_9`dL^XO2Pf=E$dldNy202=3u5|
zWgJ|xwinB$pxnY+#lcGoP2<+;>TN1$ifYT=F+hPn<(J$+4jF9CRZU+|UER}#uNR{X
zsnEBVyp#1o7LKWhnGH{=V_m0Rn8s}?23bt6J#>@D&0)><Tb&v(iAc|;sn9@H@z?`L
z1-SI6n{-pOK=JZW(t1V1N!blHfli9RT#JqKNo^D-3Fr7luexIUk`9-L5=^bUrZk@E
zpu~0Rb&j(EN-YZlgLfz+W}8Kud$%r>XGn9JYYlPTJ5^I>zY2<{N}J0+>!HYZt-Spf
zBlOygP^`mML4^8M=(|wR%9G$@9%+mscqmMSso_TQzh#+B3I;y6U0Hc-f{Pn}X?E^W
zM?zkSxo$ND>`GsP<k`(oxJxq6biD?4uP`dk(kWQ(|5shU!yIk8DPi;6ny8UvO!!@<
zKv1nYE##F2c)jxH7m76zk~z)nY)nD-Sj=gLf)x(TYWE${)q<|R;Ko)TJp?WuV+%S$
zz+b6Ka>HpY(B9untenyTbIk*t{hq*LVE@@21zHHNZa=)9rj3v@f8?TufQ_jUGR#?8
zU^}DcR;;IqT<SPegTFO`ibWgPw`;+Df9t^~^J)-z!TQ?#l{Ln*jh}P>)Wn<2G@*+(
zRIuf&T|z#;4YG`9d3J8m1gGM*wtZA3{B%%|R<W{y%Ax$9Oz|3UvoS4_e<zRh<D|4j
zHyb$pNZF`)MIB3Htbdb6rD5#6{_!za8{CZ>lTnRTgJwkF^`r3;X!Tz2-eGQo8jg1{
z9jp0A?0#vX87+z?VU~&xAscj+u37MtP(g{4`MJy<A!M9Y(7W7bjVp1A=gL1S!J=?Y
z#IJ3<7-o5}Q7hRR@9iReLjF?(%_r@4`xrX{pWj}eZ)T0e%RaurMhbYFe4x(Hn;CZk
z8}h0LfLjlnJ959s;haQqQXuh{xI5bXyCW9J-RxS@8X|+<J)^!7E_1{+Dc-%qazM$L
zO@)@Q6a-#fVNQGXlh~qT|9xfE1K!(Y3|l%S&>{cAu(xT9FqB-s_QgXhga$@-?tUYV
zkZv+zt2IpAc+aWOHExN$w~ijy=@P}U@z^y}>jsJVml<6J>Xxv!I9%!=E`pUk1oM{G
zFNEj3XQW7w1vZv<3r`+f&5<C_J94RCh{k~Bjt39SVI?Hxdzw=Sm;G$o+a13Wp(^R8
zT7R2?dQ@+$DV!g%|0*uzd>kaQOut_#TW5x9fprt&YP`@4lT%#!IYczrfAjTEH-&KX
zkf*X7H|%%%i7j3lArd_!5<dMf!NPUNO%q!=u_xa6YD(HT;lD}y1=~gwNKA$qo3^s!
z?}_af8^?YSzJJ)|x{Hjl#{9KuYr<-Ndu{GvvYsa7BX5a-WDJR|^OjkMSP}0$dOlA5
z7m?m)+9q|}2uslo<E7_W@FQq?x><dWC}ieR^BOgT>(z^CyFW8yN$=yy{g@}5_vZ$G
z@i9dD_K!My9GS5Y9XDrnaFKXHHFn8wF+gFco9W|mCdfG{)o-o%OL&`cdERt1fa<e*
zsSiq+Q14mU+els^UK*qdKmVYQPa{ch1=5+o)Zw;c?M5bK?!JF<X|q0pwwT2Iy2XUI
zcP2iPGMSM>_Q(nNOoL;QV0&8~69lF|_J%F9;1^4S*RKE?HVPgKJ}<-!da6}ddl(xo
z)VUsgHbaFsnb=?-v3gEQeKN?(0bZ?cqx#hxd3)Q_^70}xM9e35#694|P4%jO=5kb2
zdYqB5&tO5Bg440?FmBWl>9N!o6c~&?7Rm5pMFeZ=g3aojhxNpLY1>AD5>x36ry(17
zi&Q8M!Tk94d>_T1jRNg~%1l2BJ4%+>@0HyW1hGV2FTY(6mt$S`lyBq!=VXO&B@+oc
zj?v0tHM(do>D?c4W)*+elgTZs`6Kl=q~Ih)7jMPq(v?TJu;Ft5Roe$5(EfX_RjWt`
zUtYC~yxGSCb#I=O^*Um(4IL9p)7OEp>*?jg5`3VTvv;z75JzQVf(6%mZG1kwTpl~g
zj}glU@ej{Qz|!u8nBWm@{2Y?nb@GQGhQD9g9dcj|p7wogh}6-Bkd|&FuOJCd>@C~X
zBBW8EP|><=NedTeIvtV-VHhOE#b?}=Me}6r678!N07O8$zl^IF(&WyHK-JqX|J(_A
zxNa5+sr#aZ)S9QCwSS7jiR8P1TBU$fXD3d1tY~4BadKupR2*5S!(UjDR`*9>c-4RA
z+Atp)DZU{hf#18tk5i8-<HHpV>42Ns7`Hqm`>RC~IpP;Px__yl!+P#zxVjE}zK3uh
zekcW{*)2>)r_}H`@R<9pFFNqwpzx5bL<Vx-xl`07G~l>Z_C0r_E{azq!$<1naNcG<
z*5#Qd6yDibvHa4*ipOHb6J`ap569na@YlvO+sr+Eg%lL#teY9qRD^@<!lrp9U6`&7
z-y3s+3NNS2gCl-Qc;|lk@cL9eh_10d<-6K*V+`+y_hcwTE1UO|Wa6p=D1$s@$@(ZA
zasO|oO9e8ssp>@(Dsra6y`O(DSnXG-_1o5{AuRtemkXT=%^@7O)ic62ryJA_uIk{|
ztW9RoqM;+M%x=f3Cri?%9KM{?fW%Yhyz3z}T*@CPVR1Hv*u6Bjh%`-1ev9RaI7&n5
z8Mn~Stmepb`f~dD1ubNj3pdi7Xt?Hj`-4@r1+?lps#F5B;TX?q5;{Z$z5cf5*%MZ1
z<lN^J$f<*Kaia%sTCO_m=8y1NG2oZ}wKGhSI><e8;&Ox+1v_S^?JD{Jmha}Wp9^*H
zEU#LjJVF<-ks?0dE?c83bH1!PO9xLPdp^?ow9xU$g1%SV2C?51um9Sjg98Nt<Ih&q
zvGr*6$A@_~=nrPwWn7~TdsQ;auGRPTq0pj7R&2n%<^kW2IW4UBEik&-p@>5h+}iR6
zYaw-d>~Zt7Ce~>!8U$XELsOM_w1eGRunLZ7##d>;sHe-oy-E_L)T5VY&DLTMUqUBS
zfI5nH-;dwzE{gnJi>!UZYf-nC<=pg$D$K}PIf;`3Sg~Ipb+Xk4H~X(YllE1?Q%%i=
zYXKYxY16uYA=U;3IaNYkuazM5ihk~p<_h8Q+<E_91sm+z@U*Z<OA*=ADJ9YWrim*>
zxuRoFtnumHwW5V|dFcOCF1tbu5NG+DXus^N5jOZ&xLHmXKT9(2I>e+A4dYl-^a-F3
zdhdBmk;0-w<#C<Rb~;NVi;3rU;7^Rb)R!O$EOh2I)czWz8~0nxZt5fu!bwr`X%fTZ
z2Oa;-u#eHNd~gW3IA?`=k!Kv*fg(7;!!HsvI!S-(U=+$mwnECu^rnY;B*fm!O;qLh
zN$0uxBs|l~5?2GOlY3kRuy`VW@1ww<^vZ(uevSJq@aTMxO-=z1Jd>BvZS#}P@ANzG
z^=)(bOH@4j>&pq}sm39;@G1IS&+PDlUNa<y?z_km#D?^+eXgzTlk`5b*t?l>W*9a%
zcq>@Pj8~D5WlB58>DKYP13C7ZqF%OjPH<#}pzb-}dhO0A-L5TCJ)pt_Bvao@W(|J`
z?S3myAE)nhcXczp?K~zpV0Wg8Rezqy_x4@)b><uWM6C3t$2*Nz-F&V|ntztiXgMyu
zGy5w&r;n;nt}#N-QtXdso2QAraasbw0R!~XKi4kVsTg6oac5X`|0HquHJ?s=Y!7|t
zRqY0zWJAOmcP(709VNU~i|$6pbkMI(a1)w~24K2Zd+@H+F!4}d>EF{gpXkzy5pN@d
z4A2uEWN2+VNQ{hJNi1}4rvGT0;;-w~#|rC@(cIhtVtC!Dzj|ID=zL|OduQEOdy~vS
zh3j|^;r?4UrzH6eJyYjyd1o^Xkz9@^x0-emfqYcMI-6>G_7r!Mr!x(jOsp%*vhBp7
zE7#tccRr;zTRZVPulA!Oy$wwl&a@J49ve1(T`HmPDy(lW@TNkbWO?1kUCo5_LE`|Q
zL$~NNo<T15-zZRMJ2xA<;UmFtI~lC4?Lj}@zEfKCFa<Z>#-8tv_&}`Nm#DNQHG?Si
zR2TfsL;-Eb2e!TD^@Q2P;W5sAg+$|^oNlR_9$pq#ifYHz5dwa?xw@fcL`7hXoP(<_
zM6=ji)>ywKM7BEnH5{rWEILYDQsQ(#-JCG{YS$Y=r)_!>_H^Q9WnRADb8T31dYkcl
zt0mm-555;ltRXlYs{GE+YoU1E)o)+QYl-#Ge11O&sU?=G6q$dUXyMsJ3z^(nOSqdB
zhHCrP5ht2cH%Fb)MCR7H1}URA#B<WE3s(c)6Uke(ji&20a6{B_wx{b2AsaQN`Ta~I
zaV#nLH6f*egxMaute0;Iwpmipm5C<8No7fW-63`SPzpcQ(_crB&NghXEp8#I9u1fF
zzf(ioM|TfHt9s&nU0a*OrB6f!gQtF0O%0>Vd?fd-_r#VyR?^L@?L@(T3GTqNs?a~g
zD?eJ^K$Lv+^F8&pgLtjGR$ppb1smNoE~dABBxXX#IfOO3iCJyhrg@*$-ZrFj>V#A?
zv2^5c^l)`AahbXA-q(6%j4*XZIES_nX}vq0&TbkY$TRD?-dHL_^}z8peABJO?5B`d
z>fK)ms~_rR=N>EJsKd86GZ}5fIA01kTgo8O^Ty(?oSqVlc*})bj(jG>{!y|kLx)!H
zUpzbbKoNI7O-XaabP^Rw3H!Ije<yw`rY(l(DZ+O5pV7G2-Ncrh-yTVgqeM`+P&-Gt
z0)%p&_l?>15xJ)Rb_d)hh{~D+*A1-{&?U<C^mW1jVa8P4I4m<oG;D9_{8=xL1zIBM
zh2U4>gI?mR^^(&>aAuvLp^rR-!_}DFYE~Vr{<C~n!wivP!JEa=CkMl@r%g+DhKP#R
z5Y^?9S;9!S-R(7>94w>RSc)pX6Svpgt0vz3Ud8yWj4B)1RnNRv8)6wFlK;$~o)TLm
z*3!=3myVIa&lOF-*5nC-ySz5~aPD7Xps<rou2vfTZUX^Z{HBPDX8m=&$5#l(_MMTE
z!qTYy%cj3#IZcc*8+4v&VnT?cto4aNDNJ2SXuLN+LtHO*2>fz^1^*cZTldwjfxM#E
z#@>Nh;>?k)d*7X4gW;~OTYq%cAaUz!*|wG6MD#0qL&_ZvWP6S1zRs3}mqNk=Z_h=d
z$I)Y-7%Mk2;&~=Q<RmeC(l)34=U?K9<s;^rTwZkgbO;_Ql0aJOhwIx~R*3GvoWffv
z0vHPVV(`FL0tfO{n){fUQPQxhUGuvTs+DUgM}CnZ{N5s=_6-XzDY?XmJrYLjd)>`h
zkIB$U>#0h6!G@^B|BRT5MIm}Swzxc*4Ds2oiw8zH;Q2Z#BfDRG_5X0h3!Wx}k85PP
zZ!<UaIXsjHH%ekp*$~gtbu!$Jsov^e;Kf}%R@>HjDV$Z6zA@iHhEiiC-^Wn_RHmiJ
zM~ukgK%$hxH#-U3F`O4K6(xZ@b9UZ=q<|Yi(!mZtB~V@XYM$s9M&O147Lztb>}7F3
zo7F1`vwo+?VjZF|Ki|fYSFH@4Q-XVvWTcS)>SOCQ7BVcq#H$|ptO^S!k9%4SX*`sj
z-8s2K66@Ty3wVfYprQJzg=>c_qB?a0D;A_6ceVM5f3z0D45Ss`Rmns5ML5%|I#~?A
ztgiE6*TvnjLT#ZPiZGhhmvtVM$F;n$ARc!LX1iwwXgig$&F!9e@>xYx+LG*Flu)s5
zX4eMR7F8TH{CXR<$}pg5n0E2#W7mY;xXg16+<)qSZbd>B8Qh1>9{LzS{@3NW98DcO
zT6PHcT2{k>Hml(1R6{hzz5h|3N<n!(uUFK#21W}_6L#D+g7BFNU(a3|s+s&YHgsq~
zCw(@#FVYx1>-Dp<_ZecVy?WQ+6CI>f-T&UcXpE@R>LFh<6IdIL-cO9u!*~Ug)()}N
z9@zgtE5X<tN||E*s&N$P3(rrxJT=DYXAUPT9IX)jO!Qg3#;QB-g$iwIH-dbG)a&*V
zV24=c(%Bp;3O9D_sthqi<xCN4wu%i5-%`(ajZhKqZT^BUMjv^{eE0fBtOa}K*Nba^
zQE|1-pk%u$75tMP@3K<X!Co^o+h*0T3*rB*2rX#ii8I@Y!r=Az%`*0}X%iJDbnCrl
z4r*9d58hz<XFW_Vw?`hkMFFqtoM`k#1xVfb@O2Ym3xB(SsQKf1nE&QKep6Zk;Y|G@
z-Bz|ZfAcnJCO`)oum7c~uJA&tB_`z*i!GF*oG2??T2L<aI-R(AmN=Mdop|l)dR+hb
zQfl$EI*izb^E5^V={nwwOmD9B2tV})FGo~R`e$DG)>dZ5#K3Zp@ve2C?Fr-W-k=1Y
zWGlxyDPBfO8RJOH<Fz<n@bOxGg*?tG%y<f{B{2jl&*a9ltU9w{$=EYe8Uc4>%H!un
z7%c<kU%gyyFy{A$>0S*P7M?yQ=pAAVlP2SnYm2OL^0VQnjgJU+t>INAgvpHHHo92~
zpEW8q^$hM^6o8b;^Ky;%WX8%1YPeGrAlS3Ew_A)8S3Hf2^;9Gn*{`GDxb+f<dd~c3
z%#I0sd(H)Kvyfoi5k4n=vCj%|`k#|N6SKsH_lK;))Fc>6J8oQ_p0Px2{PmjaE?<eJ
zS&5m%1v2Aq?K-<o2}^7@-CR23TtJ_yPJUHZMP?kc-s_m^WC6Dt2Q#_gL3&@Q^T`jf
zWCr)zj??j%&5?fMX-8S<G<~>=i-*OL%*Z;<mt-<%hJO(pJQ^Jfbn}qGsbCc{BPRF~
zM+jktw#@Yz7uNry*QAAU92F!p4u8&770fdQ^;}}?-!m)>cX9J>F99+`URi5#gSaX7
z=*pZptI5tt7Wo!xrA%fxoO)hz@S+KFCmz|wU*=>8R-C5ZaUnCN0z0QygiK(w`Tk4w
z_uLFcs>g*x8DvIDoEYgwhB2mWE_ZkJ@-n3PS^IRC$c(v5UoP=!8$<MNw5M(>KSQ=a
zM2Z|G!La@J!$QB-2y~XYn6XEKj64n<BW(dm2IcMWAm1J%^gXDk<Eas1j5aH&*uRuy
zOgemf{6N46)@#m*$K;V1lg<ryl+UbT7;J3UBj|=u74VI@mn6(c=O6a+50PTbyxV<g
zCDIVTG^;*w9uQ$PS{gAO3zTLY9Oz3kH#LL~*NE(AcTvXP6^?=S<1&nsUsV%5Sq;JV
zSt5#Str$bz)O6`#zAS_MXWZ#^y8#s4P_n^Tobg|KIfXnX$5>}(ki`1f0JA+Nnd}B+
z##s9D)3I!MM)v&y&)iG{T-|Fmx6@35VZE&L<cWs@gY$CiN81YqP-$b!vD+xga2@NP
zj1yC2NI7Y~yLjFJTgu7;HU_R?Y|*6s(CSfS*zMW)MK9d|>BDzBUR;o3{0{&C|Njh^
zcRUsD7ss>rx@P9(PJ7&IuR|m<LRMvkWJD!tDkDXxU*VhV-B21<(~(M6N;?!v3K@lL
zzx(fbo!5Ci&+9qQ=l%KolhfkgaFv8Z@jaoRZ!#e>V~=P~vpl8;oUI@nC8NSQJx;5)
zOkmdZ<;JclV2gUd_cRv@Rs~x32=eNK^T~r}vh9>`ys<ISgiOVDbba>DK_4dZ=0JcW
z5uftreX^UQ;>;y+9hm}sxYy|^Q#DUSxo}(8Jx^#DWcewQzNQbd)^VRws+95AYFXW4
zG94pRt2@d24B%F$)AkB472GqP%GGbIiXYG1)B5qp08+I+h6eJG@Yx!#_su?4)NT4O
zHko7yA=7_d-_(*Yv+d-D?%it0(d8=>Kr(_Cy|+Jf`;u|dx#UsWCpC;r8aOoAZ3GZ5
zaARVPjLL4w<u+>Sxc%wOhvL)5An>(vOZFuS-lw;+-|<w(z3H1v>^7M|!-`WjH-(Dc
zTZ|iIwyUFz-thGmVN+;rW6T^Zr6RA&o}3Fzb-b10*%$NC6r8^H+fjsR$oc76p7Wp@
zUNPdiGhb{5Z#i#r#f8u?$5o=JEkF%NIETLH1e-(BwY8&Cl{EZt#V+^XT~#dF6UAk&
zWC803wPeL!(on5EOv<aDj!`ZWO=F!Fkn9;9{kNBfuc(5w(E%D3AC94ngjvGGLG}X!
ztp4T{$1jAZRIKuk&;Rkq63mkHhD%uUBY)iN-kL!{f!Lc{i}V26&!)583Zmh{UW@p3
zHe{SRzGQgPA7Du&_r5j{4gdGB^YW`n6-<5o^xLTu0KpH~14b@T@!-1T+QduB7*_Mw
zH1z_&o_A9B)cB}a61`>{YfD64TisL7F99?!MY~`m1rNB(7FR7Q;MKN26|Y(Sl`~l;
zPmqk?rQiN{^Q;{Dt-CUDDgmIPM1TGmFBzk)8$-?P*5jnq-q61x0HMY7R%bgBmR`A#
zXT+37+tlR3%~k-*p4_FWCsnYUBjl2$mn6m+hhOWK0O+*&8|~AejAtgy$=!FvvDN*#
zc|waN<UYKxyJmujy$Y_PXYB}R7WKui(#;YGhmR8&szm&@skZ%`gcxQ`{W|LO$pW5n
z?n~L%qlno7!`LP*incE90VjMcpz!EZ$0LCXSa0BRH!EKlGbRQ$@VzsKm1;gpJG(qC
zC;t1W7AAy_(oUU6oy?*CQ(igSJy~oxzHQTs3_-lt=Ws;xsTridbLA$dtjF$w*8>gg
zf*3Vkz0=af4E#nPMO8+~;LF*9iTx;mpW9!Vm)$aj2PC$Q3E|Rc(Bf4)&?JB|w+sYS
z=%$dFCU(F&NeWK~L^&ib3SgyH^MjowCSY*7BtxlQ66-BaEoOuZqIE}f@|3&@RB!uW
z&ch*z8&xdqSNMg{^nGk8<QYRSVLJMDm;^={S6n^+K?r9<W8xa*jiK}P(ytr8#L+qa
zTU<w{Fj{_jzffIb1V<YawDu*6WB%f!@X-+wOtE)L+N)*+|H2n?{2Ag{@13U*aZwb{
z*Xf8jHW-42(97!gO9WJr=N;#>5yQW|S*t0V48gZr|1GnZfPdG_GJUuRs5@nPX!jQb
zpuL|7`ud81QK##?6h9C!#Af$l<HH8<UAcLaT^|8u|8dp3+!MzU@#(7@*BgM$h?e{K
zG689)79I*$OW<bt$LvFo^<i*hm!rR)IC3g6Q}SyhafnWH3l7%@+heoi*2l#0=Z_f2
zEl;KJ-0fEtTJrkvPcRZUe-_8TmiJ^cMy2t1M^eFcmL9&pS}$tpD1lS6oW1ob>+x}(
zLgkh$CYam#yq<b3fyy3VQ>c4nvF-dXsiN&nz?%UVAVLx!yt<*U&@PA3{{>Ph>P%Rl
zPuM3ZBZa=B1yAaX6;N!GMMXRZYyQXE3*H~4P|>~q`P&DI==G~7)MJ<dY{dAVQ`e=@
ztuez>fKEi>SdV$&YX*#nNYyo5kii-<M}Pk!5%c|eT|!?lK>NyEPfYrHlnc4M^5UH`
z-eK0<GU{M}p$~s{*Cko}Y%5we(V&7I1}Q&kJ~N<7blbHJ4RTmJ7VuWFn1mbE`RF(P
zF+ig5gpuNiJT`sboZOyHM&Z9g>|!J)5R~L=0%(e8X7es%?kEK<w=Bri`7(i9aqisx
zgGy*<>C~tlLB-+XyN`BWVS=J|RNI3vA{MMIji2<Q;o7C&3auRa5Ru+7*r1?{dyi=<
z?lGt1^Rp^*!F%;V&V*{d%sTge;ep!|GOCze5!;_Mp$}WuM^ulUSHW+@ElKgis%Wfr
z;H*Nt0a!760`nb7$b0qSRdS&kW?dM6-==5?hnW{%yyGULWh4q`o2z46qFeE`ZbP_b
zQaLX6h>ZOOJOMtB)lt?n%-iRj5#UZzL=sD{stcCpc;z(E!PeaI<91_cO8DAFBvA3q
zKk{IPvjzrv-!)3pGlA<b1mD$NqvBoOFD?hRYG9-C)hBwQrr>(XQGZE~hFn_CXDn4U
z&~ti0oqgIAlFN5~x?4rVTU61FkJ{C-GRl46#w#<hr|C;|bJ0<&UF)5*kvcLV+A!yu
zIdt*!=Vdt1(R$eEfMSdq2Cv*ynLlg+C!gk4RL0OziA~4WC|(tFbNNeYCYCT%ogWf@
zf{y&$LlGza=qMw9jPmk_C2ZQ6zx_)j9R*f2x|3vSc+X@tRNMk!CC#Mml_?z`NZ3B6
z+^1ku)i$NvqW~L@Z{i#rr(w-{?|j{jWIPe7DKl{mVEEod*3kqOr`nUNds|iT$6&;{
z(;WaZY;`W}OH_3CCOBDaQpN_;&C1*Q0e%j94dnV!G3K!8U~`cY&V>`tycz)LZa;5h
zc!PrO>8;#XI_1%ASM;;{?*VS;>-lXOBV$Trz`-7pELIgrsTv``Tk-LKrSfD<b>{Au
zs*y%#UCxEVLV$r&6225$5*pu4Y7UE)#A8ab9>FmH5~m8pFYZ=BhpW17Ye&S<+vU)H
zZUBh14^4_oQ^prNq-riUi(y@M&wq<t0LJ3>$s#w2C^NtHeCH-noab|sw9K%CPTK^j
z1Jz1Min{;NNkJI1Q>Ev2b6WzhdN}PXzanZ@-<fDv62#140iG+YcPV2V{}q2!9#@OK
zk4&ED$1m%mB!+*Q!?k2(jdC_Ql&4-(z8cDhSB2C<9($O>m6*$o{YC51KHSGM?J_Su
z{m+Gx(QF1jlE3%!dCTBJK@9?t7mH;sPef{(fnjz;<8F0nRN1{R>GvcLYUOu1+FUk;
z&wu~=)XPd?>y{n3lZ_WIJUbEE#cK-raUXllsFKJ$&~(Yci5Iu+ScbyGCLsG~^XizB
z1Zt~%6f^7M#fbeSOr77xz%IGDKk|R#_`7U@<H=Dz4DfVL{}E&in>bSqnNtKjQFP~#
z*H(VKc)yh_@x=%xJI@te2qWMqS9^q?y8!xzi)gLeVFc4&1qn}<#jsF}|AEj!L8KQ?
z6G!_ELBWU4HFHG_wZc|%0`Ci9%exo6Lcxa6v?ll6bB`Fx-s}$LRuaL*`wy*3Ck)`f
zfaAU@_G0+8{c~Wct0<C|)Z4!uH-I0-(@}Y*ta?Lc&OwqGI?CU(7A6=#g3d_7dKOoB
zlFX!3SRA3|M%C`Tt`FmhN)3EF#c+S8aOA%^0;;#D=+IeywJh`Z+*Fnr=K7Aji(U}N
z!Z-gsZcH#?q(0<FWFL!9w2oS3AxXS3Ues-$%Y+kW;y*Kt2skSTFYEQB@ZsCx7JmmO
zM75DWi(et2j+U6h5R1>w3r)7Z>`WkYyl<FN7e_Y^m+xEaWpL)#t%r}A8E|Cywsmuh
zI0jCAzi~%W7B#AMECo^-K(_ZzIU6m3gIq!%l2YYxbdIOzt2YB~YUJ?-XiK6=4&9zg
zP{6|J(nCLV8E{!LXxyDc3awurUVTubh{5~R7kecb(8O8z`S6$&hWCjc7tkf5l4PR(
zId%pN3HxV!8j;4J{hkJ{63SToXs~BsNe@zw?)eZhFN4KJy3u4d6|^s~l6=C(0NKBH
zIH%=h@mhIf-Ss&Ytn2)FLQj$bK`B#lN*;39qWPRz^OuB<Cd&Uz4H*zjpFiwf%=*v5
zd*si|k+F2l`QP|%2DD7R*i^TofO5^_ts*NFbgs@hxaB&FUsIEL6A?-np5k71j+2I6
zm1ntw))-*>U?REv01@^5@+|N2(XrsB;%ClXOsM~mb`p)1vB2;5@pxWUblDbi@aI=1
zWGl(t>g7<uUa4ya4$G>zN6lX>evdxf78(}Td98wuIi>3DU)7K^BW1N$*Z}%Iyo|bB
zL_)5Mv#v@v)Nx?b0B=Q$0o<(_@6CxMV}kPCumxWY%(0#{nMgB)XXTdyt@J4v?$mD6
zKBj?FU80+*K}HbUbv0$j90i-T^S=pf(L_<U4>@cO#t>gWao?|+is*gg;-zFw<Q!im
zN12&G08Oayv^x#Id7sG;W7QR7HgCUZU<%W3YhzbNSbqMQ(k>?lP283IrfGm-2Ao}m
zo_|8<*wEpB;^|urESC!)Xla`R{Y~77?lwBMow3%KRM9|L0kZjT6$`jgx#AQos*1sX
zA6T6+P{+=ScbbuWmheSd$4t^t71gf$uU3hxp|G3xALV{a;5>M?n%hhjXCKUexrub#
zc}8~KNk@Q_<PGYUimDiNp7deGmWCMuvB&)L0qP7EogT4r$Oi+Cw396T-g~8t^IRWG
zS531M;*ZktQ9naQlAVlfzXNKy1+Bm<)x05gfrdQZ=rQE1g5Tx#UGZ15f>y!!#{Ju9
z*nMI8bWI@<nL23PZD<7{#rCDkB~)~H?(SDKr-1pAzkQ_it>9VftQ+Yq1<iT|Q+Irp
z#WOYfGod6a=ovg`>o`ls3$Ess{BzRy!XT93z-a}0?+bXZ@sY8bWboveyCg113RT5^
z0`NKXA+$k?wXb24LNoIOMAMHu8p{E`Z9LX^Pe}!D8s86({3VJH%p<>k4h0w=`|@X&
zu8c#f3mFs#VPs)>HJ!}jkyh58Nqr*LZ4gy0W9eQdxnAs6qa`@EX)gI)RKyJW65q2C
zUYzt3n%7jegaLVcbfQZh51VwG-CpL#8*i1=Mv^VyV7gnam!cewSac*XPjlg`E`8^h
z!{+e(f6~@Msq1lmz;buSQBIVLa}qsfYYsyb4G%^|WbkS1QC`899Oy}@kuk0?gX3wp
z^x|rz&||zH=u8X;J{)?rkB{37_#Ehk|BI8v#n;ZH+CUDBTc#*C?ly&Oz0(=#J`zZ}
z=Y8Ml90ywMd8jnhWdc_w;soutiDN^Mx2ow32kweVF<fV00<N<Unp_SOFlBIc<AqdC
z9C&{uBf7*GRxK{x9jOz;A=|DS7wx(5<9ohWheVB`tMpF1nur))?BhP4ug#6Sdao;a
zCK<tec;8jYWKp~q`}P&VhzCnDH+?i*G=%;AZ+GR2i(-E@*I%aqUYyRj7`7?a5MDnz
zb<F;-2r8eu{2;!P4~1Oz?Wvhz>Ad#jJHKUNTpc^!lfx%~LH|zEvkn=++KRnZ(oJC;
zcYDLsO%=p)8*;u9n*p>DuP^=05XL{-j3$m!gwbMqk3)Q>K6DCLcad_1k#PH$4e6^0
z=F!YL28sIc^k?U~=9j`4ulSf!)GLZt(+*lDHZozZB7Ch;Qv^qOe>fL@5JOcd;U`5N
zOwf%C9x|>I!AEDzV#B`^kc<D*yQFyrJPjc#_~?nUxU(?4z%GHupVSQ|mM}n*oS!#R
zAc}m%77Y)kB(~hBd$h8JrRQ+9!c0L7Gk$6fWE_^lg`x!aARY!h2~w^Iy(NaVkvB7I
z-$>)QR=tbfGd<wH?zwc%i+~<S)P1`)tj9%)e*a>c9temnk4+K8Q93yE%ae9lEdO)C
zH^4`aHK*>}+aXrop;nc6hRLG|?Et@=t{(8ZcUNV!O5kF>)E{A@BL3MGyK{k{2l-vG
zq`l3OI6o$5r97#GJ*Ib!2G?{!D`Zab#VaY~T&4zSj1jR!W>ovtye<Tz8L@j-8o!Y;
zf{%?VqXNalr*~Bs;&UwBigecFF3~g5T{9}^%%h&KDXs_mj^&;rC&*%Zo<D<=^<N(n
zYhpPK_27M6TO0p~9PY3ia5+Pv;MJWg>DMCkAn6uo`ZZSWwpUIN(Aq>rxpQkt(RcJ<
zXC}$*&!i$s^gn!~6h*@yO+q30f(!_GN@vhE5mC_loKo9GI+}TVhy@>I08P^6oE=da
zd93S~p4O_O?m>!9H;X&WpI%WTtID|bPPE;d4mHd)_w+5h%!KLiZS@*MDmbCf8~m|H
z9n%SpXzQpCXG6o2J6cI-$$P$f?1={Q-Yb2dD`5cJrmALEtI61?blviBmL}TTOUr!u
zV*r_MYU3%H6l{DSV|dh33+uP$ky3|QIc0Z#NA+&jeS$~Cx*lkuWr)0u`lu27UhVv~
z#gK*zzaORNvT5VyXXA1{E5@)czGx@=91W+l0~5dUY2&fIPG8DpO~J@CPeP@bj^$Fb
zRb1U#xUap@>$;g4ylHXE6xCJ5-F6ZDd!4i}^NI0GBVTiP5k@o(DOW`q3+F*D7LQ66
zlD3?VwSY5^v*Xq0RMGWWqIlK;4g6;G<49J#C2YJlGE5|?VdvEieG4RYEDu53r$zv2
zf}`;hbTz!*`(1=^SrxMc7d;6qT`k&TL-68OL)k~Nc3TH&m_SMC&t3&kI<9$b>jPE1
zrg+bS$xX!)vb^MujaG2ZF6W4{y()hBDP6Edii~bI$GA<7SV8kOvzuyn=;&7PcUKxq
zryDnT>b%dj0<osP?Gr4%&}MA!C~Ff@JxA21sKN>^a5+T1Ak%QB@b%+wCGu!|--7LK
zp%s{H4OXf(q~gva{`SoZ>ycz*&(oN~;*P-jcwQq4-hUV@Ej}oTQQMMj?)qCn;F|$E
z19dWv>oc@AvwY*?P}-|rbt@>X1dntUM_i{)A8`s2Mfc>$oS5GLUdR91bFV4mfE-`L
zh`S&<^3y%4Dgiiy?wq9kBI4#mvC72%@nYoIe+T1y02uq$X*|2FgmJf@|J)MCg=QxI
zYOnGDh_0KAT3@DsIbCWt1q<x>Ca-ASsSrzOX1Yk$UzfwUk`K~{`Ps1Wa0EYJqXpFL
z*QLMeUXLz0_8U6&*P4V$wd;TJT0nGA)wkmW8BF3KbtW6GG}$z%%A=1td^x+f^=+&a
zn)K=#OfD}q-72vlwqG}cQ01~tfh7s7dMo<=XZTW6jL_CwGi#<Wl~cJ~SSpT`p*OWt
zyO)|ieT)g5@HB;Q>`gxVBMI23(r_YfaH;9wN9r@?Z4>zRS-<*^ml)<>wA;JTyxio=
z;PNAin82xqUKd8NC{}%1yf?kL(nS7bd}?B^F?1RliHi|Ma4$8?uJ*)Q)6vuXfo<=N
z;B|=FQL|bhoFA?okt<t=q7vh@mtX|xL>n!sL_v(OtN0O7#)dZG%KyY_451uv+{F|D
z^xN(DgYPjra(DD5S1238xX(S;Jx%=B*Z6seHqC)4fw@!vT{3{Hz57h|s`BH@<*kby
zrd;@3M|*r;+yImprG&OT;lr@~4KHd7xN*09Zq(<C`Y_lS<oEhCAC3r_o&jlIw6iUc
zag))9p{}3ft8sj|vn7??>nb0Xdm2R?DPcmhf2pMQ|M*aSO+&-eLjVu$n*JH1&4h=-
z=6pOoeE9129R)T8A>`OmslV$91GYD$YaTP^M~C`Ewteg(IK)`pkg$yb49o3oZ=dsH
zP`&d54i-NdHkSFT|MVbtU0_S;VFB!U?LMk=Net!m&puPh(}S@D3EnnWL6mf|@Srvk
zQ2CI~M++N0*mP-~$6gm9%<Pl(+rB7{QBLXRcmC>v_MMF_+%dxV{n#Ea*UggH<Cjr1
zepMHecU{Uhek6h;T+=3J?@FP$(J$`3p}JuIZh3Ruf1;?T9{(_jDTB{8E0Er3=)yaW
z0M5c-F*J5vB$crCk)L<?cFUp;Y?IdZso6-tI%m;M)D$@!zPw|Gw?_x8j&C3Gv=GNl
z_jLa%`6!^K${)#;yE>pZQa^3$D1qC{YbKrSl`!&l-*&TN9l)<VL2COX@wLvr!%5eP
zs95GV<d~}it?~)pWjCZy;h@J>fo5g&qjLVYP^1Iq1!5-{>@rBoI9c5OT?L!xI5;cn
zbig}me~eD_dYrZKBlJm<@j*K!@Kvu4jCh!j+?<icZKe)$U2YVlQFfS0OXvdm*h%Av
z3-YLE`_wQwmx`z3jt$TPbfHAR)$gXAB8Ge#4wYf~_h-Ko3mTerf#;U!<^TAIXgxd{
zbC2b_w{Kx~?laMYHPTYZp#>ruQg__RNKwOECLwhL9eVKMim<Q9A7y;_Ek-J@OC1lD
z-8tzJ$ABv}UrP>5tKgvMzT*2_n%MI3cz?M$6IQyH#r0-M=pG*CQ$W?i^#0=?4V3hu
zl6ihuf02y-OlPi9sy3PyK0B5xX8>wL9Bu8(6jXZc^5V#{HoiI#7#*Q&2xU&zr!UP@
zF(}O2KfqZB-8a6-r1%-Z`?@=eH9u*nq|<G5C0++Rcd?zEDKLgu?S74lRyrCA6T=<S
zbkI-q%<1wm6G%_9OT2eZ6`d&8vt0J*pl1GH+!Zi`EwiP5Ql@Gsf6n34I*Jay_YN}O
zkZlep6~hvwo~j{(lbtUwKpV?<@KHYwSU{4uOmi+p9jPb0di97}D5d+>L`Mj~D&(^6
zj_v9=;&(-`EmH$E9lginS$V{dC%naOr#jBjm*P&;tKn9HimH>W71TT5F0VIIN1G7m
zcM=tJOe^CrgCr|(tmw@u_@agiGR|WQ;Z*#mnaeTp)(WZ~O053pp@xs?w^(tPj2moR
zf2;{vL&>3p!Z*dL$kWI9IP0l0b{%iuY^7xl#f>@KU!Kx2_Gd{@?VKX&7k=A(*1#IN
zJDDciT4{)JVhQ^%%i@l(qAQo_)}V5gBcbXh6^BTD;p*v9xWB_E@Ex}`v=~{$BqdPr
z#(@u~75WJ{Gk2|rk9D3SZ%h8WwULaGG<W4GZ4sn)1Z>o~Xay_z9|o>)l8{WMskA5Z
zA#cF>Dt$XEXq!D$5y0AeW7@sApSL;Dw=_=c%^v`E*{lh<L?Tw#RbXW8I&AQ*7CmqY
z;Hcep$Ll$YnBsBndBVTNCjPZiIl2kJfbyXD9xHh~A3qWvI5yiP6_Z(Mb=MN!#qPPQ
z%P)%}@9&z0%KvGq5g*+cIb{KRcklnC#`1f?Z^$opv`jSRJ>k6bRnr0tTR*I6a!H}|
zT{BdtjWtyrx;Cn^#~gBFW|s#|CGf}>ZI$h^znX0MwrV-mm_gnqDs3{CfR-(6Kh(DU
zY|4{;b4p>>6arp$b!sVz;YO|yX5aOnO;UvL+ai{xK=ZK6uE`d`7sJ+OlYPIMK1^4=
z-jiVh;R}ooCqp4*%j#R5d@|OwA^T{(-+(djmS*hbBnqI9op0Ep$wbp;{|d2bLt|L}
z_<EhTBOgwj&#+I+nrcd37cfi8GJ>*eyZT2Pc(Cn(%A5P9f0`zfXQhA77((>qNGbSp
z<9tG5_ILi7rbViWyZJUl7&Vt5*;;Vn-Oml@&6a1I8dE$wIG!57{4PadhASuTjGwGw
z7o2a3sc@Ci(KCSi7WcQsXK~>7aG@XiMvF~hsox&nE!PLkE!{W7$$=cCw3DtUmz&O@
z10_jL9|Cr#2}KsMV@RWAoA~f*({nb>?KwG2Sdyu%IuXc@`5#-msI2!5d*XWjmn0Kb
zWr<q-o7izd^d-rcn;jb^%yN(CGGPA2<H{0uc1%^BJv154f&cRo3-?xLKnMG{t=&m>
zG%@qGp8v*)x;^n_r*7zhVq#BNc^5mXTnH)n8pDl$?4(VkE%e~d*~*?@CLCC%dugY;
z0xxp#=K%GMF6_^a-cj7jfzvCB99G}>aBt=2zBiG&u&pB}qB4dP9qvb6fAvBDIW9zp
zI|%54>-JW4O-n9J6U<Nyd@Y1WYp41i-_(IziJ_W0HEw)4`s<U`I#K+ez+R92UOKRm
z6gVwp$b)XrKKxwL5M${Ik*k(V2Q*&%$#)9j#i}Qg**$v+DCBE$>v@beToWrh(^Jof
zo|yqtZC&E%=x_4<`%f)+G(MScrYV4w{a#&Dwvt$q_?@jMLJO+0d%y2)7sQ%ZmnlBI
zQn=OdZ|BPuP58?7G$7)<FgmK9zAAKH1{-4JqqY`ng5UA)87&}+7hC<yICjZmWMUPk
zyoV-K%iW$9+aiVs?kVW;`paXTVRtE2Q4<!AsYM0Ev3w+*<6hM<MYP@VBjVYL23*^?
znl#-Yj&635iaY^Cw2>(EFPYPTsZ3qhHG(Aa1;4DE%u+_@`xjN72xvk^w5Z^XR2Glz
z4+yaLtDx^U^XC^p6V&Jn|INtD;D~R%YJ(veHB)A_zFpFUGC}=A=epLT?vBLbkunPY
z9{>RV{}h*ZJeBVofUWGkg^Xhy9L{l^V`RLyy)%=HP&7!g(y)rYMk0|y_SQhdh<e|s
z%ofS05ZMXYSwFx3pU?CB^W67!UE?ODy1#@~U?#uq%wV=CraPIZRUjdc%{wt35qqlw
z8XNO0PvgWfo)e_r)iOLL@Xzd!T_F)P`722_w<NF%nSE!vG!?Pvr_3TxTu87l=@uu`
zpd^;JGR#-lrGzbZ8{EE0s|t$Emh#f;QrN1I6Y+$bG8QpX@^YqC6;3<LZe5kcVJ$ir
z%VAgrV|PDvFRh9UgpKPBLAEm3k6=kdTUiqJ!HdJ<QG*&B)B1DHH&zxiYrtI*YA0c#
zAG?kHCn#X@D~orvP7W*dK5~r9Q58!z==Oa_Q3oN2wyqhM$7;?xQhHvgVpk-Nn+OzY
zfbL5x$3sjCSO|rF^(QSEE1l>K|Eiz`r90`8PX!b)s>>sK89_4k-}K+@(6<MHqAPNW
z#G-_Kkvg%PyrPPgy*>Qe^sEl7{0emWGN6Rb-aK6~kgbXZs55+M;M0Rxt-hqbC<4}X
zzkL<Yq>44O@K3i_Au#E`eMWqlfIS~SZjh--!qgC*$l*+Yi0Pz)CXzDtwBznC)-x*D
znKDJ$By)WjR?caRQdP!2ty^tOF%U2z)0bNoKlNdfj?2~R|M!&m@|qo0z}(Z<w=&%f
z;EUC`pVuV<Ci}`MI3!XI>%8i@bD`b<Y8D6EyjqknFS;Cquw)$OBvkY8&XNI47<0Da
z`xG(utW&;2g_2mrj)bQdry&&V{%bhbsDSA$#^nc=h+^XB&N;kiHH4beU(zft;<5UI
zPGRxmf|!d)AKUJ%0r>53i4+RTV_U8vGXL)KVBRkeo&5FO0E{L^kgPmetd>bRaIS_G
zqrP%YX+3KI!XrG5f?_h*2RsW}<3f*J4fPnD=QjXT<G2?4bZN}F<m&5k$A2h?hSnSB
zC;Grtt~_*?OA0Fv-4rI^7tqQhcK+AQ^dZ>U6J+rc*vo(YSTFMks-ymV_vj!1?Y9#G
zvDRW(^<&yWJ(Wf@@UcM{)fXTnRoZPmLj<#!;&L;CHe{qNT;atM0<%kejts0q7@j|D
z%e8O-$!j}4qa}bq$Vl3>b|pXd^<s>AkL^z+xcC0GX9xA*@UN5;iI;dWjhmJA^c!Qy
z(+}^C+WF`LQN4Zk@<ncJ*)y3%2S1MNzfX6z>5dMhjK0a)w&K8gr*HeFlE#s9QC>K+
zE^YWaKI`Phz>58`96i`_<QI}kd+;kWi#9B(hD6fwF=02}yuUToH;T9rtq;st9)!VQ
z8zuS>28?bqnfBty2x5y%e)%e03uwQOs7^@HVWrnY!j@HjAeXBOHZ8|AA-d(i%^5)&
zjNpAGJ(=2%u&q@1+i7URt!#DSD_L9UUA2@i!E`-HSNoZL$+tAXoARblFLDEoTKdGI
z7SM^XPCUc4{80y`qJUub536W|Ku_S=K@9QUUu|4#rw%dnX`~ZT%jgbwHlldH0-3)%
z{93hv3e^I-93k<4Q3f#vM(xI2)S#T^H-jt{WN*0hQbra~Jqt$4nW{!K@0!36{T&Jj
z&UyKDZv8<w*`#iKz1ND0<6C){SSZjr8H=jd{YGislXQh{eL^3vG)~M!tAW!)mj`D?
zXHeSVf*-6pz39WI3-T#jWQe#u^|vNy8udzvec;wNfG%a#W_`Uvh7Xs$B?jH6(9d65
z{IY$AP`<*|`=vXoz?c-i#h*Qis`E_BHbwnJhbyFdCt_70%rqilQhE}7Ymsbj^l1#O
zk~dzC=2V5td~1ok^AqT-MPkZL!UUSEUz6aOO@g7x<ihZO6X+41iyA3eQ|O&;<;fr=
z5`>nA-V@iKM8jErB8if-Xr-yQ!l4KvJn`SKpG7Cp`D=^(EN|z~_LlULZxt%waEjW~
z7BYqMCw|@+WV(RzDfu}Ce^-XF_gUw|j!mPV-SCUW&5P)YMzq8ZzcOfqrCdl1pFw}E
z`}T|<SwhuBy1C9c5P+B$tnU7C7Twyedrf6qLAx{lelNMJ1YHup)7YHn&~!cvroNF?
zw6)~P)dxQn!7lC)v%l~>>a2Eb(&@)KS|jbSFHBVtl%zXY5)u~Bw{0EH_x5d~S1Shs
z+2a&IrGm;>Sh9$Um9*s!AKOOdPA$`39L2*6mZ;pA(Z8q`<N3m&Kf7pi|F2sg4e>CV
zM4z2vu#C!bFs_cc(_(I2#z!d+<RP-}RBmG13hG@q#w;<h_kY8+czcEAfjx2DIX`R-
ztx3C4{UMD3n|b^=Vj)Qm4#2a5(+(TxLi0}DgfAl&dTTeLpGgj$xNkepd2FJto0{CU
z0nAuqCH4JEf-Ic+Nt~%J*hZV=R_dlpSuqdSCm~&Yve0|%P4*xs4JLW<?wwQt4s8D9
zD?Dwf3|wjUw0nJ)7E7d&D8jww!lqbVsy*~&z@%Ns=k6RGre9cL_UZ@^cA;JNztIUC
zyvaO8tx0FV_`UG%=azUe3FF73jdyXdIXm|Gu@58mi4C2dujR*@f-Af{591(jsIWcU
zn;D}NSk%>)2x4E0SOU|eaFD>@wPJsV6{CGzQDoC1j7dMZT@|_`4WN@~U%kbSC0uaU
zvgQ-Tu2}C_-T5O8`=&--*ynL!mA8y^l`_RK>V}pJ&5ATMosJ9P*XO~iDZ|!$1WBwg
z(e$OW01oJCU-%s8<;70fCd<ZDNMUJWg%Z;aIG9Y*?>0~7$8c{=?@bxwFpzsu*zg<&
zX*8k1Gy#H`Wpkl<Ev+o(U0&o?2r?kQQp6W>Nf;~e=+aL4E{EOQ`tYCgrVKcr`?nQR
zwI8FI8~?oa1&=jW2loWd$%5jI^kQvZajbAbz-VPs5fkcv7I#EK9!?|`_~QyCu+*yb
zhHP$StfN-1TQUm|HGGc)6p2!p@hvTpWK$w$;~;zA{FEZtJNKR<7D{9JmIB$@uSpo|
z<z-{7TLfs`N#!1qm%)nalO5j<sA7?IT~<lrL@*Duzwxw57IRPKq2B&Q#;&pWv$L_O
z0&XmZ`<|;j_U9*w@a3x-=I^yXq4O0P#!J*xUTovB^k1r?6Gaq^f%3)RUIhi-_ZG%`
zWGP}z=jbb5>QXW9W3N&NTh)QWv%5VeN5HNJ2tIgqhl<q(9f)J*)q=&jccs%A%2=n<
zMEXV!6?;6{YQYn(4Fe+XAsydUFfd*SZ?m9cT7MVxwN`XNtgRu+VTOoB-t=I}OQ&Fl
zx<6eGQ2-=*?hKAPlQ50}pCR;;8rJ+QZClqvAEZQP567gDuz&7r?}Bz!F_GzHFWCSC
z2zH=G`{$Fe#@ozO&SVlsVrS$ibT$OK$&*c+;Up~nZseqaB?0Rz=>HtYYXl*g)h&Z~
z61E&y!(%Zjk5%-1Q(nn10({kTPh%@0mi~}19qNw5aEH52&W;&Dn1ZE&-Ct$wfY9-=
zLqEi^yRNMD7Mn)k&YGcsvn62pt}FxSRRK)d)^|sH)Cfvzoue;=C}MxQo0lj(Y}ng}
zq5G-%MlcxlYoAg89xE;_Yp(vcg$}K5viIp4fu%-jDVwbvCi7U>?k6&U{@drO_p`+i
zvhVf;e~^{ICKwA0UO%5g`ck%Cj~_II-wxcU=e86^Bs?Gf2b+k;M@MFjasz1X;ccU9
zk-%IXdUHy>=)s>jq}0u80LT;03wqB*vCmUaZh1an0(oEEaJ@)<!0<a$Uw;T;)wYe1
zf{m<TC==ReGzSp;`dpKkF+UdVI#I3P#SZFZ*~wxrfYBg1o}qbe>@Oid|F{4rkY~az
zit7=m;TW1{#MrR<L<QT>cbsq$&${E>s0Sx53>G>lGGe3JJ9@#)T(GP@Xzkgl3l=}V
zZMpBK#X7%NvBzw4Lh0O9U-c;+C`oOmtKr>1r+fdT-+0Xlj^;n4`FM1|=1bN6pdSn9
zizzA1RbNhEyTHfCW2_CQY{Md=>BrEc^+G2j**HNY_gsc)%t449S+7eu+KPJOYAya%
zb3p$Qo7TY&Ey%b2T({lViqz4p(eR$+00+*CJ`AE-pej-y{V{O_$z{0PHA3b9&igd8
zLcy9~a^RTsD%T9sTs;yMCC&j6DU3-m-5OxN`O32W@FHSm(L=nX$N`CQT_-+jYQVB&
zXT~R3K}PUW76f+=&?8z^XP2nMZkEr<iGg*5_OM9s{(26;wG=<e6;=mb%^^xPX$$fA
z6P2W(%Lxhd>gk24R7k<cv6VaQA`5qv1p4PVA$<3JLJT(*80p7e^W$k@j?Dl5WG5F)
z@v1ti?D<37;t4Z@OggZ8KA9Kp#|<^Fa|n476nL4>zRE(+0LjMgrhUvjU`lk6`dOt0
z%NzD}mA?BRJ@jPj(N{bW()@6Q!$b}AJ6~U+?PUZ;Yp4Ipl6XO@Aa2fjlnl=z%Z}eM
zVTSC`w>}{ud~p8ygvLND85-K;2t_R{(8v9@^ZEsTuyS+ZT~{W9!D>XJye%8_2&@^^
zqzQnvO<x4VkSYulm)0le+2I^>UQK_OAS9pKZSlLK3T?yxuuG+!P-S<&drVpwMv4wQ
zRXeHz%eSU8McUlZ7s2tTHbVrAW@E?w#8km}l7Y32%ma^g6XoO-MB&kuN4a)$ByjWV
za8N(U3(VjCV;CP4gY1~`5K<cnCXN-49e3b^ClhIzfe#Nr{*aXY$|Dlc(1;tBMe)PM
zN-m4-Ly|Cf`q$>eJQ7TO3k}l71YlIFup{q?6mV2jdtc8bf&KgXR|G*JP%bu0e;yzW
z^kKhQKRh78z1T;wcGrZ#MrLw3C<6yhZl|YK_uhT?Q!z$s-+q|3S38#4Ap`GgSR8Mz
zkwB%A>FoYIQ6Sd;HYT&m0pZ^^uez2hbcyIk*V~9gq0*Ny)LtGwaU?t|N>PQNzK5EY
zf)bEuA*axhkB9B}FIw?isxaqjjIX*V2?u0ftj)|TK*vru!_})~5ED|Sbq<h%#!`f*
z^q>-$-nWw7l2C)Uk6*0)=PwN>dUv;uTqeNL!Ths=18UGE^e9>+5C=;XvrbZ(G8`BX
zwGMhj0ikb5n`4*^BpwTnHL6#Eu?34*<{T;{v?>UE3zvnjLc<#MMMMykWB$8bst(F-
zz0&0oa!}0Ipr1e_!JBaFCc}0O@K9emBNQqRp-~31g8?M?OIq!GL!$*(+8>#(x#K~&
zZiD;fO%iaNJaTr<>>wQb{3YT6Spk$IXe_W;5~Qu}`~E3g8-$zOq&?>pAYVcxKhll_
zKiq6U^REsdZDyrb@rvL;-7pvYMTDL|cLhfb^+5ZIelGovB4l%Y%+KmlfpD>VmEYqK
z5R0s-Yd2Q{wKuHWmpzq1kuk*PmJ2|xyH(}vsXb2=zD=4eQv!#R6O~Cn0cM{(Nn>$R
zg53U;sGY|O;MDTKNB*!r=)7{$IK-y};m(pByw~L+rRvnZi+jEHF|q7?V!k36=^SrO
z)s}^SLGhz`Yx<C1us@YVqX^CIDSq|8q`{2bB=!Sm0A6L!T8Qcj@Zc~(T<^9dsLyoW
zy`f<M^;G4Rr>1zgYg$5UQ7#50D%Wl3C<buh>=VuIgYqC)lh{xaAPh<kA6h*`4d9-|
z@HHhtIoLlP>ByeK4^I+bzqMG<-{ZiA@{|!7*!2Fu=)lhdCvN$8*F4vU7!MqOMLrIa
z7vBm0;$Vkw)PJGL=k(!xpo(&xn>3WF%O~CX%m{6=KQ6ow*N23&i}zgiOTiP*)qbmU
zbU>i2o$h!Gz{!=`JJ}=ws>c-^K38ocNTRmi)@cB)Y`sTvF5(dV^43-I<{B~`NR}h9
z0Q|9eb!LuN6kc>#Oa8dKglu**-S}jKK%(wLY1!YxpyS8v_|0trX-a=7P@JR(vixq-
z#?yijqiEcRH~fvP5(X>sJ9I(2BeVA^y8z_c9H-}tnnw0zou%hy(*-+GYUZ*NAGDP|
zzBD5@g;e9pJo^vnz%udkhn_Yb*n0hAeQ<LUnUJSW-_Fp6>62>qIbPf#+<b*-**b-2
z&W_RNjUEIU;`qB5;Dnejbu0reGYDfrngv<yAiT>uPR?Lt2TLJc-p!QXNNJXsrcb;U
ztT%E5uJf>hxNEwNujxF}y{I;=GpY$;N;N;f9b<+ldzu&x$|CZhj^F1AXu^bVb-2Ye
zBfJrhy2rEd7b$)yGgVil0b<k0E6YdwV9$Ut*H6pHz@3dk9X1V!ptY!{En|RId~TfA
zr&XjPGXP0Iw!g!U7^V&;u>)>sH$9l-tvcAvts~7dUE5KURN!8X;t)}$2iyO&8CGOB
zksBQBL@75aeDvM)TX;eTtSN@e!I!s@0~fg(nR_YF8+gJl+=~w8YZ3JWzju*BCf8#m
zdkW0EeXF%rr-RC0$941dXn|@Kp_S321~>TQ5PKpW^o-nHin>P!4sZO-bdRdRBhT0C
zUo7ZgOEx_`cOL`vy?i>RJVpk+>y)mDI662-(l^kH-v<*Jwnr`mlEJoOoXPeV9juhs
zPtHg)f%1&^JtYP*$mZu-lzY;H+s<E~pnhgpJQgSAo2?4eTh?3$x9DN`Ny*dU2dr>g
zId02ILlr!FDtFoI7@&Xm^!W?<?C@Q|kVdMX1br`@WiO}h1D>}3=&KqyVcnK&P8Uf6
zY~GMYA&C*hN!I3>5!^s?)OAT;fds`A^dfsX6Rcn3=J9*R13Y3InrEL8;h8#Xn#Tk)
zl<r<-x1itSU~JKuBxxdWPi@o{n6W~+m`|SmS$<%y9WniuqXPdOyla2^6B~RnspIxp
z6oAMZfr%0FDqyp^>!%dG=M#?;-oHy1g7|{wur5p)W*FwaWF6&#qC)?RXPrghC9<gM
z?xzeLL}J<fDsGTx=N;116NM}>`9x*~Wmxez8jZH|z=7{Y*s`fOs5>jmE^QJ(F@BqJ
zd5afL4*h4ec0mHF80s_bOb{S?+Qf^?oFBAP-#JK3NW%4&f{B({0@#?Y9DZ6Y0N*o1
zfAh*n1M{ViRZlsU!QYBz_6kJ^Qf%M1iG<?dOI~gDuDvpxWIM-i)hi4vCIMr9{W4Hp
zTBcFfqzw4v#w#z<_5)O;`6XM)LF}PnJ0@EdIEJqJ{|yj>y1*E3xsURY6FA4y$wP!2
zyx%jE&l~{x*Gq=)+!P=<-?8r$Jqh+-!`0U!l3<zU|EzvN5lSl)y|yw*@CTpr4&CFi
zZBU3=S1bWepc*IE52=Fa7Fut1MH=+--f_wCs6bx!b-^<-WU!`LyunhAgSw$B3AiL8
zQ0=b=d=piJN#+CZ76xVDRn4DxrBD)(JBvky)G4sU$7avYEeD`5%I3tS3d?IwOCN%$
zu=OV``m%vMT+lDh^t`DGv++fYR-e?t-_2Cv^jSO%xgOAJp4>Y>;36kxsR@ZrWiC>2
z3g8o~Zo)1^25P{~rcXb#z%riWiPjB85YfaJNAZ(Eg?)JbN3=FH@?DzwcwPzmOg`fq
z2UVfr-X)p`in<_NBd9e;BmlR(A6wu_Rk-Xqx%u;>9vJs-)@@+~sPxq2V5uWPgm6d>
z9U1m~Vq?utTp2Fh33rjoCBhlKr#{kqK7a4I?rb%p4BX2D9Sx_I;i0%)ERv=V?II1L
z?_`ugeQ?(&V^|T~F1PT?N*F-9qwx2LP69mkC4AHu!9(M=$Mru+1~66mGoC;tzz4p>
zCJmx22rDE=I1d^?RlI9)w2u-v^=C!YXiI~uOv3&lMnj-stCoY~iqLiF_S)Rz1K{p#
z$z8^02oevq$_DrNUg@55lba+0Y1Yphf!+`TIZYTwhUFpfyj#U{F@9JH*pSj2Fo20z
zVyS<S97G!XuQQ8qfztV!7wwq_Kmk4Lq9qw{WVh{`5MhExM}9Bpm>YoPO+{bASsd)w
z$U9qUL<8f*59RH%`ry{4SU)}{1sPvB@GNpGh^ft^qdM31p<`j_R)Lo!L@vAM@O+p=
zbSsn!`h@kNJYgh+_p3OF%=%W=`gS80?-wLYDga153MZ6VM8TH9gd<I~3gz3VvdGZ{
z@SZlYH8>#*r-%I_)%3rhL&H;zUvD8Gaw)gq_mlvXF283n${9vqY#oiyc&Z1zf`#6z
z_xXT5bWNwrZw&PoM0%G8b;0Sldt`nz4{T)4I7YgUqsN^)?|x&_1%-xfg|G5l&{V?U
zyS_D!uBFLS+7If0veoL3rw`cRH!*2?K4ToE*WFh#AFK`C)2_bW3C!^7W1ac3-!JsX
z>nd&Qrw0N1yi(xVv=8j8S5s|jM$tlR?of1H3$9&k5cEUnVPVF?P~r9n+SVM}$Zezr
zRi}Mjzp>MTZhY+ae_r2F?_mNf-5pKXG@NCBuDgS{9d>IEu<1h&Qm=W~&1wL-S(zX^
z{15q3>K$(?*o{s;$$J0NL<9c5G+!zHyM}xj_qjY>+Ky6?qOUAv>Toq-kjKt{1qr_r
zD%|S-3f12YzQ4t$4%Hfm*QSk@5W4He=c>LHp~vTYERKg#;p%!d<L`h)gn$u_uHuUk
zv&3d5_Av^OX$=MrcFrRMJxfzY$uE&JvcGdbI#S^N8FxOs&K%-VEtHh0--f6hv}cd&
zPy@Qp83n#Fvq<pu_Z4Z_Cq!lW+BTPw8axPd3px=tjZn`=@%EebA}g8YM=W2Hf%IKa
z<)6Y7a@^=>k>=|GWav;>hnN8wj@*9#J%K!lI0ia6Ws`@H=;H6ezVB4wz<QxZXZ!@h
zo!rhJ=<pMH+xGH~*xtS}JCU{fQg#Aa8m(w`NgqSraHqM850GGNS<m}6{RBe)FX(3V
z&vE3I-rpwYQzVd^$}vn6pFr-#7CiCLpF$2f))ie`B!c&;%|4#<6G*U8j&)|k3^Jd5
zs`1=@BK&%|U)N!M0y%h-($Ql(hYU5Ur-z!WKz6O0K=iXoB;@PX*(t^a#LWBJg`h}f
zSk7Jw&nTKg5^BN|d#)@Zt=#b*hZ+cA=2hu)?Cmt7d9=`dl648GO1t5{x}gO6T#~0e
z_s=4Siq548*DoVwZ@O6BKnVox-Y^Uo{YF-vdRgYgts=%zyNVZ*6k&8<;EC=Ne-MVG
z+e~W_>qyM|W9RjU6hP`wv1+i&0<!yT^2T=FKZJpYA>cJt0URZd#p#+aBB#$;r_cP|
zLM+V|-qEJvK|n#T)FJjSl5_Q(`N{BI<f*l8iqPsFPcHim9~fOirrLs(ETm|`Uf!4s
z=OGWA1f_3hd{&S*hs9oTm(qcRqfxKj2RZnjL1p*hSwo(|ZZ+PP0dlS$(EVvB2L{Zi
zm>y2ABc5&6<o|Gt@Y?KpgcK$V(|>A<E&u*Q$e9y?7i5@$?PT}iONO#QkA7%wBW@#1
z>PH((j<ABBx!)Dv4>CY=rR<`7*)9^Io|7um%nsUSUNae9G7z1-P2EtT1?NsLlHVCF
zIQEIgpmiGui>ZZ6l8@+sCnW69BLyB9O=xoYTZ99_?Ij*BI|dlNqr@xT!V4oZl_n;K
zaqzKnfx%6J5lU)bjU0*PhZ}X*=gE9HF#2IrLo3P*BYVZte_jxF7s)XfhNYp%v^O<*
z&rg!G1Q7KkVdyx1s!yp&8cMDQ(Z)Yy2R)bXQrv_4L3Zce;NSykh>Tyl^vseAhUM(E
zm)ynSx9|YdjT&j_&}|cs6X1b~Z&x9cLlUf|tnT!El7^IVCDpz%USO3j40cYGf*{&~
zHw>IOxFs07;^e^(5t7TQR&qGdYbjF@IEMr0JJlWGdV=uQ#<h9trwmN2B(Hy8#lgHG
zIXux+7*rR<&d9%%g9*>_W876T;50`v_YU6=rJkd20&4MKS)h8-ELRqOiipU#4vB%f
zD7VFKhaz~y^9iqa$$_I_?ZTwL1n8CZ_3*9|V2A&jv$+u-8bU5^D+)+~i)$InB@z+X
zDq0_Z<xm7GgR5JQ;-#S~d-yCvJqd<{yfmq51o*`g8*a}f1ECsHtI0j8P@HRhRR5(4
zjDGE2D=m?QzL7&?!lPt}`1AQ_>fZcXh#Y=dZ6Xh5?Eyyy`qdzg?WyL~Br;$YVZW+p
z@$mL&=Y6RM6u8{3Nv{`1f$vp9e>eAhfQEc8tlfeNk_%;nK^f}sbi|*yBu0R~j`7Lu
zaw_zTW;*unb%YxAS~BUjGPIe^U5u!sg8IM4!8luOIA&pRYx#!?xLgvxui;CD?FNlE
z(;sx9e9lvIcyCX*HN~#VG*BS1{Vi*p%wDfWiJxBgAc5JT^%S;3H5fB4&y8}>hoMb7
z?%|w0|EkP#Z&M&cGu@pV6Q>Now&8bQ|05EtsO_Aub0Y!0z=2$Tr#-&6o;Bgy>-L<=
zABFSTguS`F%9z4$1RvM#xAJL|fXZzfC9H&pj!$Yu@;OFuo3@nhK`;@Rh3KC<WaEIC
zNntOTGXl>5BQqUQ71(L<yu*kb03X6~;!`GLu)S;@gu6rl#(SI_F|7i?HWTf5dBF&5
zI67P?_xHT;*@Gf(d3Ip=<hvGHWdy~GXzG=8JUn=!F(Gkq8*$3IdD`3B2(++sG24N1
z@QjfH-5vc%bG)Pvp~n#Z2LJ&7{|uLRIMsg?$L+mG_IAyC-Fxko??Fh2A{EJs2FfUs
zN<_aRBdJ72$f%G|O7;C9SrN%Dq>Pfi_s_rQInVPs=kq-8_j$jL4hg?4HkF5iJqE_*
zaer`+s)-sVOH<I#Grjs|mn<~Qb}sNtuHzf)M~*I6n1I49Rd&UHQqWP7DA?LYk5aeB
zy6#AsfJ}l|SlKr*cp$xTKA6OUo-YiIuHG_+dV_X{+Ib;3vjk6n?PEv0U)U>HR{(6%
zhChElAOL4hB~2!JaiT_F&#YJ<fSbprug}f%z_S-+Qgh{8=pE<EvDqdJq_XaqF;%hy
zK5uW|cbXe<e%=DF&qk1xgEW2lnZOB#{8oy%QPRq3?lb+n!7U&~uxpV9#{ahTG39b2
zdp_^xkYz*Q|F4v@@5KuCW&ZaI_fy<ROtvT+Nf|;@u-`*vuNf@kNU~iEFE<Kqr<Xix
zZveZVNwwSm{fW5~u>bbG<U;OS{;v<-(Ffs6olyhsHP{Q&+UQ@0xe$LOo&M(@Jy0RC
zTMHg)!DH_p`RvWfh46RoJ!?vO(6sv3CY)s$|CW{$%HGe3zQnWGt3~L-sn3_Rk_#tr
z4&|fDTc0?QOoZc7`;ZO{j}+P5BG2I=E9?)tJ2}yT9=yuOLI)iFbo?w)Si+kkh-%wx
zTxk8@=kuxM+K>`XkloX~ieL1vqun^Q^KR$NLw+S~IQ{l^m@sJ*FRBR0cs0v~97Tyz
zj~{D+-8t5!lO!7SoPYm9Q64uU6m8y=lF<Sh_Wo;&FKCfXUvz%r9v;+hcHaGRo+en2
zy>awYq(`>=b&<j?JcyO~uUG|D6Qr#kyTsmSK!G|@nPGmsDDCi3pRO7W*sHxyIE|hO
zDf61oSu60Nie+WijiVay!DUG>Du@|*MKAAFUExD}=P6@$%j!@-=Hu)7%Yw3V_2NGM
z;zyY@q)*&w>M(hw-|Cwm8xs2PE3E5}0MeUxRgN-Khcg0<CE+w2==<esgGBaSD9Fn;
zlYN;A>1)5wW#(}rQjV@s`d%Sa+n??z^nwbNk=>}?lN<5x4Qt)b7Df*kTIWdtRJczb
zl_^Q*L1z<woFa&cB7;?thm-nLi0z8`W0S&*l11M0HkFE@`73SgTwGL8`KOd(mcxfm
zeGN&weo_LN$?xy;n4kdLhoc;Hh#%35_kDh5D22)ou{izcpg>qM>}sDDKu0@tDza0g
zQR=5uv-k!I=yf<;@7LIcl)R*>{jz0{m~CruUK0i4y%^4j#R;J&1U6k#l`JyLY#R*e
zr$FbE3@6(SVI+5?OK$e39J*Z{Rv55B0hwTR>Aw-8=;@75&X$4%R4Dm8Op;86nB9&o
zTN2_Z>%Z|hC3^)#c>N(#`~ns3*!`MUYLh@N*BZ3zQWTLck#CHzjS4r4kI4o+kV49>
z{H&LTm5`K~pKi9XIyhlfTtaW85mGv%SfHwc;%<NCvu##~V;rGlv&Ay#G`-=IjI*kU
zHDN--`>Y1sOS#{W_)Hf4d_}Vyn@dFd(x0UEs%pai%tY1F=W=L67gr3gBcbg_<*U0G
zw17W|Ss=7T9*NsYC4@Jqp_un4+IyC?V9qVL^y~`)D*5w!vpR>24*AQ?F3{<K=<cjr
zA<q=hc4U0TH3bUN8@=00RL}+Cc}?cwG({9gVz${nMnN+V)XkV&^q?T)p6unzO2|A&
ztToA>g3Ru;rj=#uLw?y)@*4|fM0R_CE4ffmHz%=DVAcTctFpz9Eh{4<ze9VzNKsIb
z+><-qup1aTdzmi$r-B^xO>SwNC8O`bJ_+w{89`WXjjqwG3c}bgs*aeeAz|7MAI4e?
za<nWahbgLP{$haWy;dShG2~5L4FEW;SS%@Is)~-hXW6aErHa-M6z|oX17Lc0-FJ+j
zigc$u+?@H8(aEV|jSt6-f$eC#_IQs9@@*!*x%yWD&B||*H_MHo)9CBly)G)~;(21r
z*L-;tp~7&;W!@N^t>22)S16<1IW0rX$7IoVzpk{0hzW#LKl8pZs)QWr(#M#ErIChV
zercMb3H<n_)ZM(Ghzysy`cS7B8da!2d40#vbM0yzpN%S@(RK#%RJ9NiF>)F)r#FG{
zAL?VzYX~T5F8u_VSpY?b@Ar@CG=`H_M8f$5d1RndY*|stgPO!5LR23b10l5TW`MmM
z`s4EC=-~u*#O6O{!*;+JBqGklW(&xoc6Vw5TQU>U9dn5p+y>A*)T-gxBaJdh86iwQ
zbcm|GStD5h(0BCg;cRm$#IaX?Mvr?7AB?q@7_|a$?!SNK%A7cgEqxKj`EmtMchdKo
z?Zv=(lvULGttiU+mnrU>vVcoAzEF)6!NA94Bw>6<{~_7W-({!H;w}zeelL$0!SVVF
z<<yd0=*aC~p%!w}xY_3FX_be&q3h{A551oPsNTR!QKR%9&W}9^m;7!BMs)QbXY}~d
zM9d(iEo}lne@5NKTh<Up${r8-zu`qo63InD`4hN}T{c^iuK^UuY%eId@}Q2@d9rWT
zKiraEYkB>xKG3G5>8;swAsf>7sadBfoI_r{qnlG7UU_o9+MsYCOO1MGkE1jA;Be+)
zBQHHTcsDv|;s6`+y-~|=T{nxr+|%TsU9Ahp3O=#$ma(9T_kF}NuX+4tv`k2qj4rTI
z2R}ZrV@CT_io}0V7xAK`(^|DRbiiUnFYLJj6G{y6NV+PwjOW#@9E2HdaDB)*^pMJk
zKI9*KdQy88AA0=pAmO++s40B7^uvz<5z+)+>YQ4~RRRQ+yxX*P{(+>X(?gHw&*&zK
zRBqx0$M<@ynrnfi@>BD2KYH|R(LG@gKMm4}-cR3KtqIMgX!MmTJ)(<x^*GUq7M*vO
zBG4Oaf<y50q&04OG>c&pdS!H|wpruWrH>lGbY(02zA!!d8(UO3Ey;k!Q<M}etTmu~
zkE+&|DLqmuzLim($%xXzl4^o`)Iror`yb66dNd=ax6Gl-jPkQ13nWgfgI?$-frc%5
zw3KltIb`R~tZM$bba;yj*_v++J8v@}g925H@i%OU?@5~G-V`caw0WMit<Q*<t6YR5
z3OP{vM}{L3I#kH~94Z&U%7lo)6i9u?h4>z+Idbp#v%&R)!#OKV$olT%d&k3gP{x0y
z8lF)UC=q-adYqL7RZHCs_)^4+ZZVAq_-as~F<$rU3qw}aUltH^dzlZ(Y7|CEwv*wH
zynxEgT{dK1dFyndlK}FnvgEt5mkbo=zUwb}IM86!Hp7n|K_quN%~PdS4c46=N;H;p
zqJ579w1dtIq4?cjo*wa3gEii<|MVick;saKx&>JT{jAV+dcdj%#kjC<>U$pa>en|_
zD!UjOWGRX+sv&_?UxpG>J1?3XQIzUsl|YWkE4QB}l7K(w=&?H+d??AxDen<c3I%@A
zemi-A1j9?M<-W!O2r1n8to>FRNvJv4k#_3Eb?c1pvINodPe1v-&B&mcp*oApcS!J)
zk=S=bObGGbu85!3lS8*iy?HjRBp8Ul&-&!0Fe19ymbNC#BbqI}tst@*uzwXR%<~pS
zKc6(sa?&WEzOQ<sVsF&oVA0yMS32TIJo%$maHt~Ed9Www%{elNiQK3PAxI)C7x&1P
zO(irVdW5pBN&z|bQ?Y(R(kO_<eI)m$3Oc_W(FRo%kWiEVv!Wz}HfiD+6$OaMr-|9-
z-$^QXtlGDJH<LvyzmHV?OCcfI^&4Aj8tUNt%)4OTM-I8v;qHT+WW-dcSHB>w0li<o
z#2!tNNBy^xuZn0=&=Iy=hUa8WP`uCc^-w(l-T0DCt!df0N8K+x=UugcRZVBpYC!>I
zrZ(sb*iexG(MNFq3vK8<{~(}JL<wm`Skr%hN=3IGJ7C!oy6`~z2CorS8D+g6?3o^<
zqQJ-bva8v8Fy<5-->9L2ssp}9RE|&)Y2?RMXFUVx=OS&kh^Qj2wpZ*Ouc%1>&DihW
zZbQib9aoUnuZs3e(N0y_QW5i`>de+4BM>Z8+tV6AM8=8l)qG1RsJyIF?*$FOT6gTf
zrcNTNoxSlhrG$)*r8_&zyamXQi~e9tM?y+mbJ2BaB&1-m^2g527#fd#x|B0dMD`-P
z{OmMTQL1<ynS06@G-CXRFBK3`wz}ayhFB$(Ep;aNh^q<AU9F^hBtt}j`J~3aw*=Jw
zSMGj6sR?W|s2-8=P(_oC3YQo9Wzm6=2v6DHCeT+ba$5VG3K~j1WPP1U8kG;>t<lRS
zAh)e@__eJvx_oi7XgX6AH5s>AtWKK1;kzEpW$a3bW8|B;%UwbAN8u@LS(6DEXDi<x
z+Q|=$$D8Lb(D0(vAM|5McT7O^pP-De9sw~er;br4S&?Pi$KUVGO&~~<e&l<V9I`@8
zQPwMTNF4XOX0fxE=oYzo+dvjME4r+Gz}E0GOBtArH3t6{26I;=jlM6wxjFM}25<7Z
zv`H&x3_3|YGtudiNY|^tF_CW=FW1rH(s%`MC^O+vX15p;tzbMh!`FzfTCTh;wg5O|
z#h)dqErQ%S=?0z>%CX4G-TSp(Vo=VXX~Ozp7sB@aezP3fj!7qg$-!<T@H1m$Ne&c1
zYA(SiPUZAs|FIKNoM?<7_tv<I*P)%9-S~Pla{mA(VWJdqTx~a0KN8#O_2xmzSGE^>
zcMW0a-JiD`?uNkji^KS?H77c<-fflHKZr4N+0{j)8Nl^fLH#IsHe@^8<#V$C2WInT
zK#sOwAO1K_G+aKwj11HKudt=|VI>xc|4vEk!)QxAS79pyTDoo`?dIQwiGH?sNc7Qz
z9;V&lmG|k;JZ`z){Yg8<d9qf}<ee^rew>XK&!s`Or7}jeKO3;-T@iOo`E;SuZm;9{
z;Z1yk?ab(_=_>4N2PNpJpAJNHjlGbbUBiz|q_Pd3xsTcDF5cMJq7BBO6JHBXui#cD
z`Ynv3FL1M4rItUb+VC{v%pOjYC468s*M+&L7MD_do$)VK3wS&dSZM+laQ+1&&%w4<
zJZ4344P()QFq(?zi<5Ks36DIg^S^I+vDK<>S*RuyjxWxVN@sD3#p``XJ^OGU0ml8Z
z(;D#3x?1^F*$lo|{`G!-`yie<;XB}aY9|j<IPSCzOydt#7WL>dhw<Grv;!AL)FIR+
z%cSc46wZ54A~*TS2yTkK)ROa7hlgAKH4|%-ctb|?T&d_dZZ2{q)a5S~UUPi%yb?c&
zCv+=W5+?rQJx+ICa0gO>|Jk0P;ebh8)~U_Iv~3c%4~d~DZc@P6*@3$ya}xK+i9x=n
zX7D!Yk=VPj6nK_)^QD-;6iy$srp325i~ClG-8Gk>z!{NszWU}Vys~Mx=vdY~Zrn58
zdFliiB4>VoZvQxqN1DEBTX9>&fvedqKUob1=dKA#gwNogtoccIjFxeakganD%_J~S
zxgfJ_FpD?cKNM|fw2BK=d%TrkAwhOWmWjK_9De)T4Zrpi>v)NRK(~z*5eiB3C$)s<
z@queRU7@cxasK6&Jsrua@WM)qwn}dSKeR6~Z$N?u{ktes^5M4%$PnWh^1>JKPsK|7
zpTcO7W=&j}s(}i?6FqsMe@nOtOH%HW9i1x7aX&XsQQnzzK`uRF1rM8;P@8$cfKm=P
z5Og<`;MnDRIy$CnxOvFy?c**?sP0#!@8Oe5@Gj-G^%2bt{HY_3FI%&q8(ssm8@-Ak
zB%dNQabycO+fZ)j^<hI<_b|Fl2Ss=pvh4WGi3ZtM1=Tpc<3OCe!dKe66#%PrE;r7n
zMRp$SR=sB2=#fUDztsr^AX|Lvniil(#-0l7AxykTc?wlet`R`+{!yNnc?^h_&#bf{
zmJcoM;bm@qM1b{DZ_8#^CR9_%BXC1Y0P#ywt0`6lD8J+2RcE@BD}D;ZXff|XA}<NM
zUNRG4Xi0YSoFf~OA)ZTEpch6JTa#qXZ}QMG()09t8V4E?{vN<g7DdDPvo;$q<w4+e
z$FIY}+{l`NDdBOfIMNoOUcvL^K`N3XR&AUIsjL!4YQ?3HP5sw*Wjp<d>P9s=!H1Un
zZan&LP8tRGdU0g;$wQ*%>RcI}07`!;W@Q>Ai{1v)Us#bPKxXJMdb~~$F{hM*6t6s*
z{ct|AFOdLSwF9GpB|_+#d|mijGXeSSD{COBD1dLwukplc5mYiP>Q$euh<FP-XEGKQ
zfZ%q0`}n39iVSOsG`OpbRyeSuscVYx*?HRZtfwU6$e4@tf2fMs<7cv{#>&vPb-k)E
zR2ogOw-1MukkG&R+U${b6|kfEd%B=g27M5lEFAqzMmFLF4f`sH5HTINvSKQS)>nSt
zqs~)MdR0y5<#{z|^12_?S}l*F-|^RGFHzC=lg5PSjT8{CVQl8MQb1SLo$5-*)X@xU
zTF)En9WMS8<s{puh~BNroJ+3KK%o<UbZ6-`ft+T>TYXX)u~fy6@OW#YC8aR=jtMO=
zOyF#t_^X0!+Se_(`!tc`1bf*B8eMqDS{<`-got=j+fGNZX(7wiY#MDneOR!IADn(d
zLWzs!LFE%W{r7*+iQhDY8~bv)|9(_MPNE-wR-D&F%=K)xhrb(v()UhUnnE&a`<B&5
z`&a{64zf2iCjvy}<fIG8QPBOuM5a#x>gcb*`2)YRjA6JZ_M)041+mp^qsLPev^b#W
zcKfag=;`*GS({Q2XYc$7r<EF7Vk#xcyPARqpIK!uHw76m_;Z=stDtkWMwUJsrf|@o
z{o2>#WVF@tbiGMd0lA;%nBI4C51i<UYVx#HLuZ6f{V*JtLAOnlq?I%Gz-Dh=(&KR=
zQo1RAe=c1N?I78MS9yD2PU_Xovb{UJ>>mEfX^9`zSw5q;y1r9?H!pubL>VcV$+r1R
zu%Y{;s=0N8J@D=TTl3;|MU?3AHnL581Gg>C^U3Kk1$sHVWx{0w`h8EZud#jrZ#}j!
zNbhb6M7g;RTR%C}<FYO|sxXYnyk)vc_-+EbYrZ-D_K-ooT)8=+{!7@b_0Z2nTN9uT
zpN)I`SrQF-w3q9;(Lm2H^AXu<W1!5cYIkpnqT1@rvs>B>Ab)O4MNY#Qa^AoBv+INq
zI<>fzT{q7JJcGd$ryZUhjkVeeWD-CI<3Hw}HM2m)>2tG|vH<dp`J=ygbY~QLvIwSG
zA(~vW5oe0QcFe`bQV|ZcdnDS={1zJw@E>|&x8DdNO{l#-znD<T-3ROkKCnU9!vpez
zCw4=r#4LZA3LT1>9H-1ZXM^R(3n$xe7{VuK`#i3%>-dybc#!T{HW;JO%3UurfTx<n
zqqW2ZyhBXi&2bkSWa>R&)%vRsF_y2VWb^;x(cPWVhbmZM`;6m;tcpHNQ19|`w|>V7
z4%JUS9%hA0XH<Ic1nL1LP~gApdsX<tOzQYyW>!cK5Vr2F(FKo>`twiDHDYHMhc<$D
z_TA^z5bYwW3oVM(T!HojSicEXxU!H1%GxxnaxdyYYsJ~MMUgSguqQfxZypN>f73q;
zKeRzRE&0Gtn<*^I_T!yBA6Wpu#C5jMLK`k9MDkb%&S7)31V$PrR%qZ+N5o1kDB`ZI
zynba7t82<SX5z;R<yAC-bZT0FUO7*$9a_Pp!s1Vatg}K~iE5KZp(gC%eHX~ZvW^*?
zl*{NUWrL9ExcmZTP2e3RRw!g{V$G!yd69S6;iJ~E1^W^W@M)s|G|EQ<q9s>G9;b1D
zP}IsFO??d*lrU%db&wXC|6_~^Xy=3ip3W%8CUwa1Z+^s=Ob3|2e6GDFH^|?KEB)fC
z4oN;``z!kB;Y;&m_&*OGsB^CDs9mFiWBCQf&nk={X7n!ZmnkopkE`c;rcoj8gZRAM
zO(sY^+hD<I#0R;%Y`mt7sbENWRPMIK4CeB`|3n_-hr+sgpRy?meCW7GWejBn$HVfn
z!I1(W&xF?bvv>HYQh4POKRX<>p1Ml>A_%m+n<3H1D6l?O^;xKq1Fi`#U0l%<0#*x)
zp}UehJe$KWE|bm$Y_~rZl0OPV+r}KZafe%ZJU7mJTk?Q?;#9iCIZ@D-O>YalNCr|-
z=WwPYFL<86kT7Q;4yZW!;FvlYQj?Y+)Q0eZpJ$dvk*XvpyIT*c(UV~ubN^{k%nybw
zBM#wG(qQaVDv~~-22YEF2(jw|(D3|M4Znd5OegJ9>zY!7Tk+Qd8{Kw+MQ(M7_bFL;
zBr7cQm75I4%E_@@gF^8A_Wp~*d2%4Mm<T@(kb&-6>mRug5x|#;&wUr=fiUN2lw3&$
zT1gtUOUhy(PPmu`2NmG5%K^4YISM=p!|rn~i9>~@^m4;nMYtX_P&OPv0T(@4%<Q`)
zyo~#(dO=kgLZow?jaMijvag}g+fN$G+d1vxGgaWT_%nThTU3y`oOkwBhz#g2SSoY#
z65)j&2=3Nahm03K&c3m-piF=EUDQPqM25{%tZ6mC@CApc>CW807z|ssKC6Lj1nBLb
z(11h!DzBkV9y(QhaSl2PNLk(ZlDMD=S(yHTyx#;UJ$M%cZ&6_Due80JxHe>px_%nl
zRsiKOC$9aA6ewyu-dF3U1IP9ydYAAjf#`E9J`AXk73r^xeb5C7TkEb_eq{(8zge5_
zNrgpAGwmm2eaP!_suQG9f$Ho7hMPyJux(@djJenV3|((Np?*<;rK`pGiX;`TXT9(I
zLfH)=H{DrWFR6lM$dIez3kpo-eF|eMHUb{^7kyIes<6nw#O%#U0XofV-_COae0Bf&
zwPhy{=6h+~_6k&k+tTKA20MIY95(cu<rER(D;wTl2_S-O13{B)Z44rTr~HI$i0~}R
zJ@SmA3W%CNh#6@z1}kRQUn*;=VE^%)o^QS)T#%GaWh3u!;+**NtNyAmS4#{b?c^lh
zknXnZV3QpV5^u38QvsU2q%B$(S=g-4eJA(W1kB3{GL!0+A+@L}+4iy&cwINlI8kB(
zqov1xRF^5iZN~RaNtZ;Sa&gtpC&vUXe31TU9<B(V{4=f%d=-Rq>*JTCubII2sy&AV
z)fFHnoP+yMDlf3-{%cs-YXT`oiq+~nxvcBl+}IzS9Uf?K_-E0Yz{RN6?+5(kAokkm
z0Tx?EP{cBL%8HC3#$i_GI)f}k@@`w$)@)-r=3X_?cE&(DesO9uQyMOPu$4LWZ3&~&
z33o6|0$f?r>Y$5}gc6BInhwXNvBBxT;W^O&S1WrhlBdPMc3W$u#`rhpq}|EvBo44l
zvv8EMql<z1@yst{-PjR|UV^h12Fb54ZATD<VB<f3!bOb+ER=rX!PUD)&^S>rac5Hi
zaQR3Fxud06h~XH^tB<?EN7Q^bEiFIL*qv)8ksNV;Qk1j6njt)_|8vls!V5~=ae4DK
zkMNEV=k7h4hM>!G<k}ZOZn&(Q==(nO9?oP!h|UW#fG!q;crPgqI4^tpKL?H&tl4PH
z#-manxcM8)yLWu-Yud%5!7`;-s>p!*WjcNM71_!%E6ofH6h#BctJT;^2NCa|2lQZV
zKx{uF591EcdA81sHe+-C`vv^-bfK5j)uCcS4|PQ)+M_Q!u!judv@|=pt2#!o<<v`B
zxOvR_`BqmiMjp(hcpujRw8#|R?@R;!aFTIZW(fN@e4XuLwKi~HB)Mh=ZDH3G)?HkK
zeqkl%LGql++Hi5j<Xln02KL{lKDpW6QEbTjEYRH3g8tLOEQR#z7`@iC_0qw=Sd4Xl
z9hp%Jw2v8k@HVVs&xxmnU|<qcIez@ll^x#PYFkZE>{`L98O53UKFnYvp-Ba8vl{T;
z{0IHK;tCd#*RdL$I)|-n?=Ry$s{wHhHhIRC%NW6&wD(ff0+vs0v{#!_hnc+Ace#<v
znE$R@!Q0_W*Z^8^6ADxZU2fMRpX<w*>z;Ye+{6`(y&%q{dX)+yS*{n-UoT@)<g;ZV
zZ`ZI7@fGay(Ns8*ogF?azJfWe(#OrxZeo)K1tkUoJN|JY(zT&<1@rKHBL3HB8+%!B
z!JZ|b0u_}RUGf)Jv3hcq_vbAdh$BD7<9Acwr$o@XC*Et=L*p~B?>HS~KV$z}T0#b?
z_1lA2Z>(d7kGt#pbkjq+?Oglhj{jHP{cao5xq&5J6$y0pV}w;s*ZwWC8Vq=*JQ#M^
z!icJkZgFzVK-K&AQ1&tj1Y_R3w56wkX3zTB<V_Y}a8lDNY$Jl}4E8u?i3Sq#>&_qC
zW`le&@uw>!A~;xv<vwJjgV%n>+e1W7h$pa}PTb*8x4pAZb=2u0H?HkXS`0UQHZ7au
zWK@M<UqYG3RR##um#m8C;)P2=eKhLVRKVoh6({F^jL^^+FqCng4-!nQ3r3k#z>kKG
zDfcQf3^eI#GOqDMjCo~%d8#t39_F{))?tM+R1M+dj|Cw)g+D6SKpBXK9Qggj*rAg@
zAo`%65cGM+&)oZ`1TL>_I2Cs0Q<#VviE$GF!N*VKHj0%%Fu2h@*^e6r1NXZ>x*`S*
zwHv2-qLqM4G&ekVmIulTZtR-=Bmt&;bBFu`l;BE_A5ZXJKKLI10RR6Kmv=nX-yg>>
zvPbqRd)<3+UH4j9pEp;^SII~jiAu^Ssf3c1QMMAHtVCKe5=EcWuuGIAk`+<NCiCa_
z?|GcZIgfMB`+c6TC+&CL!@V-H;NmrrM-CuDNta27P^}OcaXOAjos$FN^}Pcv8AQlW
zO?zi%BLYkcWDdtZc@P(VIPTd?gm)h2#GkN<!R0dD{E1_VaPr6<uSe!2AoDrxtNtMl
z&9b>l5(H()+T|nL)=dK9_^bA_-ICBO^m&0&rUEZ|AAQQpA%lWX)o<73?Vx)~*U~<K
z1ZFuQXMM6%;c$EXR!d_UsLpo(u4kzV<G=1}f9X&IIS#j(h)=SReS+2Zg^D^zKI^0B
z*ivBD*u0QmR365ABRFnv(Ezt}t@<KfDl8`Y6ttdDfH>;4`YdlMINxZ0ZZD|`M?<a5
zo8Kvdp8eJwWeZKv@%&R3WkZ8%rBTy)qB86?v-z|xNP}+;f4-Ph&>>2NM~Ed!1;o+|
z99R$yhUj*Mb0*qgz+6#nH${X#=Eh=*IUU?II^u^Gb)fnDw!}FzGWeYU@9kN1XqSrM
zDr?h&J(bjh=!z;_D|bwLzqzj75#2G?clxlcQjfhTUk!XM2J-L3(!t6`i^Hql5CR6h
zr{&VsfsMtq^MoiJ-WhbBOlUF&B_V(A&j%<_WuDq|-JS+V4(xavbQmCsCtP`F7X|Jd
za!Q@vJQw48vV8n56WD(K;_Yf74G@2GD#2+^1NL%!zZf893cIf|Y)4r%;O32NL$x6_
zn6%Cqcw27@U(pTW)Iti(^e7)s4<W&FVqQ_xJ_a;oZkT^tRfiBir^k=Rl)yqx+RCVe
z0bcb<cT~95!K+=sw|lod1b-I3>-CcXZWdJ)BVDR+Xk%3FXRs9T7v&m@PBS2ToN~9r
zmkcW9q5)waMIqZJgGJyQ1NwS}+w^*fAUwqCx3iKTX2~t9xAGWp-~7iLP8AjKi13`@
zxWfiUxbLZAYX*$uj0(!TDnV?((1*gzW$eM~mzNIXrf@g<86hK40W?+fO{JMfu!yA$
zUdM~3&?>t#-U63{K!!Bi&s{I^>wc}l1sf(1H0KyAG%EuieqTAv7V`_AnU_ei3p0T!
zMVtGQSGR+0qr<l0pjliq{1{K#2EZH96JI-aNx(r({<NEF|8SDA;G?&p0BPEnNT+v*
zg1NAx`%UT^{-sIn@I__-m!<YjuOmWW*Lta0uX6)G9dzvb6#)z`?|jb6_l6%H+K)w(
z$_XeGAB#GyYz%C-{>4W>=Ybu{_xOGInGmM|*Hd;gBXId^Jj&|K0q#9L!3=38<T$pg
zF3HOfUOUI#bM)E*doOV_=gtz)N%O3t+6)7jtw^<b+(&>}uA?SycL}J?jN4MZT_5;=
zMD^*NT*21eYo{6v2}t)=M9^`5eK`N*G}#c%V@&etldI_)xZf)G)sX``Am-&_YQ^&@
z?EK^RwIa{f@l*WMCG-M4D68|kQF3_{OW4^Vnb^06_gzcA(zU1y|J~BBH;?bf?pi{6
zqWl^@x0+JoZKDf&$z_idmOo)hw~R<$(W|(x&6(Mxr#c{f)HzHpzZ&xjUVEr7u!<Xq
zNo~vu>%f7nSw@d6%W)-#hQZ?vEBGCK%Tk*VZ4l*ta8Bg&2i!vU%1+)#D>zZ-1J|i>
zEl8#xOLpSy!ut%SB)wm+;N8zP`Gj1x;M;(nsWYV?Po_<|%W$sZf9}0{EZ#|n_{9R;
znDr;_m|nu<8@Y;~+v3vWXhR1lmn&<^S-<cU<~+>+tu@>--Sb^l8x1(^G8rcbfACzY
zc;G?Fb$r#&)ktbT4c;FU8CYjb;)a>7$#%LMIK_6<<$RAOjOlo#4OCCz?f11W1(*|1
zZHMumryiQ1C;mrfr_~HT<tuY9oR0~aZ9A&dI8Oz?g8en*;aU9K5h?4jIVPlVWFesH
zDiy?St|b~p&f|%9ocD3BFr%FVSH~k{s4&}CZTpM5h<AsvCq&C{K>?4|e;huq0eP>-
z%Z^Pg;rEF99ZgQLqUb|%f*GY0css`^`_!<EcO85=e5#iX1uqH|_b;f!hK0V&e>JQ4
zRQ+Q@qCW@fc#)uf&P*L-ZG{LUpVo2X6d&FTdR%CEE2ma|rW&;7?3(w!N<i*1FU0qe
zcu?sLk2{_JR6)GX_|}VBCe&Ci{65{14~1GoaOzQ2(4P7DLym_9C6!rCrr7YK&UDxE
z&@W`zz0~(S;=&eGd&#YwCsP24w@n^DVn>D%GvAi}4OaBLZnesvNeHzbU$v$5lHj9B
ztB}V-b~I4WZ%K?5Mx;g+ZNBp)IGgZo%{`bCrJpa*&eRb_XB(;v+$BihF^uOrT;N7r
zU#nPcIK@#-zQ=>ERwCqSaRv?E=0%kvB{iS6NTTn?N!iEJh~RnCX87IgR&+(f@^-T7
zc4RbgyWim~5zbvQuk^tLP-N}&@#auzG#~vZ;{0(U3~^U96Y>O+Pm~r<MYt>)Bxip8
zwK-ofw8Z18tS}O>GF%wykwb>j#D(M8M3DMW+R%xMpx@mIJh+tts*?@Lpo|kCP<s5!
zjW98^hn;(psap{h5Zhx!j*y`K_}}}o?h@$H$tUlMgOyQkmD$V{W-{1qnO8mUy$xA$
zjfhui5z+T2k``w=$$&QnJef?BLOV+s*T&aLD5_!c&#oa=xLnlit1u#io*sz&<=?4_
z&X5b&-)X1=IizN&MO6;%ezS2pyFwkQ9hj;renSB>#Ssg`^YTc3`O<VyvIgP~iV;w^
zp~9S5^>)Q(1@x?PIn26*iYjt`&MA9oLepH<xEWaq8FEy|MPAiJfk}=Qs!wR}QqitP
zFIgF_H<a&>v7{m2G^^fTDJ>|=J7Z$Ipn^iGZV-kiX{f5_;rzBLZP>Y2pg-Q8gnSt$
zy~j?{k(aVd;)Nhx*iDE#eDfX|J-?kYm-U#ANKLemm(Dvtr#K~R?z<|gT_~Atsi33%
zzmC2wvNr(c_D_??rq$5nqPgGw{&e)l$MW)klM$@1Pp4URsiPQ&ERM84G<2IPJa2yp
z1GfwB!h>TdNPfP#K1`T~z8d|uh%Nw_Ep$u&HcvsN{u|7nXQ^oatOonD7!z0>E%ah+
z*Fdpe9On!aG|=F%qsNhbrf@^u{WdI6kcj!I(t$Zuw0EV+GHh;hJY0$r89_lNfnxp-
zf{94Rsau-kECZBHM!1yTs-yb*`!8Mlp@=x!57JN8F`%&K*2R!oHFWhTuXU5L92(jm
zk3E=Vz)m-|iP|7l^xHF~-1_o1R7i8<GMHk(a-@r#CNml71lrZR%nG9~cgGKUw=$q(
zPo<*YQ6i$22I)ET^P$QX+4zP;2IMxlEL<&AMphEvmYj=O&}nOpttWLE@I2tA6>YQr
z293=f4HD+@_KQ0w4z!v=2}|fHeGUaw;n!c)q11!te)7}Y?q~{nNBan3`f|wQ<bRr<
zlRB{G%tLt>zMH_|i=|rjf2Gk}<S4WI+BlZ);-_qM$OMYrE5qFrx1qq{c+p?!^H@e(
zPK#>~z_sqSUH6>C5oc{yS5VzDw#?iax8@AcvHYRd-$?{L+~RPh)_ENZ)ScVGg=26@
z2?Z6U2%@VOQ=b*?Cjht5R`aqC#^BVb6Ew=ik0j`yPB|<SK<+&uYWSxS@UCe)IUL|d
zysAI$JuqT|CJD*djV(qX-6eE#n>af%6n*FYLXQcGCo)|Y)D7X+P3Cu2W-RFVrTncH
zOibXP`0jj|s{uTI)pI4Fcmof!<Can^CcvcO<vY|2efak=wB};uKO72PU(PiqK!5u{
z!nN)lK-;fV@E_M49;5m6Iz4j(v$wPv<WkrH$#ti_DF-HTA)=PWw-@VJF8g-sj<b4j
zJ5zL3?a44+P+xSYb$kt@tchIDZ_tH6qQ6JbN)LW=nCFm_{u(C0Ip5MRuM6|t!r9Vy
z-s2h$3tiF=SFy-}y}cP%bfBtR^HKhIE<RHyW%Sr=6<hL5&kr5bhEC}cr^)o!m^%yh
zfR%d{<F5^ywc4)@`Lgt^-t14<_G=ISV`5sxmg65@YkjK)BCL}&8drNTih6&}1L7(+
zE-2amL01d-4oQ@jbPZtSz47~^udHGshck(aPw5cwhqzlWcNn|p^SHiMa19%$Ts~2v
zMhCW=&rGD$#xM=-rOyRl*RX#A{<U_GX&}@Pm*yBhj%}xi$>@Gw$6`Jn7+lt*!NWlJ
zsN9c#vF+-sf_^Ln5dL?s?ZyjDAa)$*dKW&8Jt*@NQ+h#wkLh=F1$Sw}->f(5j*_!j
z+oU1ADv=4w-=9f2^OXu8f;k1kp3h-{_f<uYMli#5$z#}~O%D)>yt~?Qcmb<IuS;&F
zu|WRyeD-D*Dilt3n$(CaVYe4;ltn*mfx_W7tzt|Ao>WdT{09DEA@_fG^{TKzyP@9Y
zm!TBU2%A4I(XfIE`4N(!m>mYZ#M9Or)S)QaCG<<n8rE{JyT8wl6B;$8E33rSLG)Fy
zYx~>=CVqOO=_#2Tu4=c%?L4anhih3M7b`FUtz~7$8kHB)3(DR~d{KqT-A&)z-I>8_
zm(KxrudQ&Y`htFgi7Nc?JR0JSvw+julVG0-ewgBQnPI9X!x(S2!xLRrxR`Zu$ciBd
z+yCDBdC!0hU2Qc(CT(o+J4t^{x>^Wyd7B$*n@O+{7O?+FJO`NkIXM8Eo+s4)XfXB!
z33zsw{`U3d0)_Wg2Pu4FP%l-onjl1i`>*&Umx6gfJJ(X)YepQ_vBT$5+KBMB+kLR8
ziVq?mCz4JRwgLYL(X%3#2vdYfT=51!bblP-zo9P$;%m-7FGLgJuL|$eo}U6R8++vR
z-~3I_`$N52A4vodBd{E|6M{rtDT_2IIpBI$zK=VH2ye=zq;mR&fzO`DOeI1dIJ6$_
zr+*`YOxCXVyAwsB__4IN&W6Hfzq_l|=#s#b?@;cTi#Rm?A~vg~D#5+0_>1Q_35us<
zrOT})!QR3*FcVV&n_26qrVC_ne?m`nJh2_hPT5lz)`@T}mMK~Mm@4cc3;GS^NrRok
z{*!jCWaw+=DWk@z!G`zXj_0AW(CF`LFK}NCTuD=m5A*8q=)a@R^RMJ!L~pPwCXxcA
z$w|xTVhvb(SR6FMqX2WZMS;C)RA}TIf2`I?g@9C_oL&z_xVR=dlFYkV$1UGaL^9E!
zdt$eQRFe{DOC4x!`mPDJX*VWS9O&?!H*lzwq5=<IS_D+3&>$w(`S8*=EijG^IqQ@{
z1m@6W^AveH5SxD<?2O#>(2W(I@G%nT1s9xPj-rDRYiNnwem!uksT;GUsKPegOpTEz
zbdZTn=CK2PhzwV5TD4b$OLD?;8tHU6d-ldai?Jc(By<pj4yc2E{zJ)C9Xd?;iuWv=
z7{gS2*=Z$33M9DPI9wJ>gM;exCl|H@Bpfg*3#g>PUQ3g6<JUFe^BFOvVlET7*5>f&
z{idJuIp(ym*;C;c_R8Y?fC&gbGFnjO)BwV-3_;yWb&%rHx*4Bg3gqLXkFOvK7_xq;
zd*VR`zUjV4b!rTl(7M3PtxAEp*&s=uUS&8Pc<4GModLZ2W@l~ps6*_TVZL%>1&C=m
z>vHTX1H9D*rU<HP(34<mDCaB#!bSTHqc?f_U6>`xxQz@ZL3!I_QpCX~^`Y2E9|LN?
zUim$5P6A`~6f;p9LGT>>lkN4C0Vg5^PyNeOfhyZ(Cff^~kZSnt*2r-NTx$NjMC(!l
zj#EU@-kAUY^R@|R*ch-Sgb*{ssR-g`3DxqplbBYs+Qo0_rtq)as{N$CJh+)Jx)fb`
zi9IWbNZBi63QyNM&27)hLUWVy&uuJ&_-`uvcG)}=*ea!T?~b1o7}~|e9=Dpt?O)&=
zHL@nK_qS(%jj|-rcKp?N6~2fQY7<3DasjHVHIGkoi$RArK3O-lf{QouNY%*$-0AF4
z^i~#z>hj-DwoR<#YOZ3Z?5#1V*t0u%Jx~CS$S?4}aU-BX7pXY8W5)2v+Vbi)PCn>#
z&HOFiML=q&39OkRMnGxP>i(Y03Ho&MCGmd*)V_s8_>*r4BlM-YgeX>!@-u5}?jfKS
z!H2379}VEUbVn*0U;>}`U+r5{2`H7XV$__~07e$y?|f*qhDj>iyv0Y`oUb}Zi!{}T
zF)P0hy<Ur0SfYfyd(;LVUbmM+C1wZ65&8yi7|dW+jf6(a+;!al!UAX6Cq3wLkl(Wn
z{$PrMcPrE1t>NpK^N%NrdQhXnSK==)ggM2XO53x(im#UGrIiNj0-M<B?Q)r4vDt-f
zE8YiI@gp||`JK9TV6tG>RIx)Hrt2)nlKy!G=h|nueZP?oB;R*p7~PD+O|58x85dV@
zH<rn-2kvRZvpuwHeIE5V_s2K&->p{g7Sp(D1wn1lyOihhExH5u`>~qy!FC0oI$rA=
zbwvvfKk&*BVeZ8Tl@4_gudd+SAz>|6|LAb$f-U=Tk3sx1cXl7P`Ce_4C+Z!~(V@}s
zQusaA5qw3L_LLI8il=i5mqkz0Ao)?;;WNHt`0i=VEgUXuxb>h?+RJk^h>E{n&Q(5+
z8=F3&{X4dftGryO9r~vUxiZFMSAP7(UtM=+oXFqw`aTQ)zgIM&L!B&gCUhEC5AfK<
zl0ZO7X#q2z1vFtTP{v1&e-`JE^<WL~U_ytQs(j+^Qeo<|q!Lfj96l%Go$>iFGg_~m
zbrIP?1&1zi)f|fjd=H1!y*mLcD9ZO=|3ty2hnB_{iL5Q+RM$%LoU$#*&5u_*ppOD>
zY&Y_*)&Ij4qs6+$1=vu>!q<*Jaum4N|K$<u!xj8Y`h&&MbapgeG0q?EqYmToVYhFV
ztl^K7n!fGY#ff&;y%-I_)j+k+iE`lE2ELPA`bj{68*S~0<Y8=61BHift*=Fykaf?}
zNCAZxr99mTGz(LOD(Q;LZylJ?fL93rvr}7<%_8ZI*k3Yy0B(u!XDo;yS#Vfsh99YK
z_$Zw}Ne1pUKjMT2D*~Q#r(G=tQQNQA!8;~M5H|dCT&9HpL_oX04b6zUHGg|2gm91V
zY5^f6$Ss}LbBg6a)_Ln%TaJjJpE>r*=cP!nf1xvr&5sMUb$=zh%Zs5DT$87&g$Q#J
z4u`5Dcu?!VkHazC5{PYuEk-1c2+nhhX)15|P*0YU^qllIBz|G4>X{1>gh~&z31{&m
zVKK)o+^$l{|5Im?qWPwu*1K7J`YV8r8Gp?A{Xqsr#SNGp-bI85Q~&LIbwmi2tMKUN
z>d2wIR}SZT+=<{QLaVKr5k`us)8p(p@~HL+7k_p>5v*?CnN2PbMXsL=E^EmuqTK|7
zzdkDodV^~t>H@{lUPayO(bY<5f+Dl?dkP6=6e=#opOHj+?xsHq^;AJOy(4`XR%GZL
zno>-U-;Sb({`(WEPD1U5ih9pL6(nNaW{2KOBOlp#*^5l7D79za^t-Pbgp1^In%t5_
zr>)H1=Ju%}v+~dV$%C7DiPde-y>2-~SKi7hfG9{UL~k}CM+4X`cDOgHDj;#r=2+7`
zR8*pyBI>%y)7FvY3nNz*(aO5jeO`(taz5tvES#MNvyM>&#YrV37Sdagzov=SGI<9t
zy3;|$<J#|&2UHL_h(TN_rJ;wrhw}L+v|z&eX!)*}L=;lUQY2zRM@vf!vJ2TdaMt1!
z`JXTuvE&b>_~p`(>k^x(g})w5lE)1$IH@9AqbTm?Iyzc&T*^{AsSjjwVqsOd8WND1
z5#zp3M{SvFwpl)gpnbmHj~J$oxE02wPXitGT@-D+dEOZImoJIySW?i-x0Q++aWuqv
z=lhjDT>#S&o+0sX6vW~$=$sI%i8}00HR~yxK+edZMvj~YD!L}_rpBP6ZgZQltW^_G
z$e&hSkk&vUdya3j+}wxAMF}w|Hw6z9)x-a_Qjk>GPpYph8Li_7GMUX7P%vU?szjwA
ztMGuj(re1d<jk{Ql!pwE7g*-Juv;BXjv7j?^~<B{g>zrBelcKAWn!ACv>LkcVb|EM
z8`5Z$JMBQ(G6Qb-3q9n0Nk(oFPKs&o#87c=4PqT-!1YewDsD0f@!l-VNsbaga!Or|
z&np;k@DKIK&Hxoet!(x#9%n~>%S)|w9t;T4Br@urD50qkf0c^tRXjf8?VRft2DHcg
z@%h!GfL1?0`kC}=6h}SR<c{1hh3Uxwv9BERsNXuf`A_nFOjarF*NnI+gt(KR85zr>
zZ70aD!eU1-`15|ZONI%ov#$#ovq>S-#paXg&a+t6>^_ziF%!uDGZ<1{ErITZuTF`(
z{KHfX`kQy91NdCvIu@BNiumJ_U37BSFuSJ6#x-$(e{GANS=B;_`(2l3ssRC>7yc%n
zGsJ+1w;IOt3ZS-(S6jS9nLwGlVBBz@F$6j+99h%mMHJ$`Jz3#QpeDFeanj2Orb<<e
zRo`%+y-yQGE@d#mL4%UVc}a$_)cW)4t(RL6dwnJUXMZNh4pq=ps5JmhrL($8+nJE+
z@7YjeG86O|GE%qB>Vq(IVzhV73VuX$h9|F{0Oh~u$m3LfQ00}2S)ZQAt0bn~iVhOs
zyLWbw&V?QD;P&U8oXt}>h80i8wQgW#F#g}^H+sN|DWxcTj^gFE&y`)5*D=y{_55uj
zdZ0J(I`9pnAHQQ~{yx-r9eY*N-`svm7kaX5IM=y8;oN%`8_MpkVG)kwm#Ob{prC2A
z(K@aIXTDIs$A`Lxo!wynGNhpcgAxO~KisLtTIy9|9LH8MtDU^bcW-TS^Nu+xtZ&2q
z-naAVXkW#qFQu^2*tDVX+uw7aN!^%O$-JT2_$t<<FVEy0s0GP>yUvmi4`6?X_U}8j
z>BVBVBywgZ>EMZn|5&#j#_rqbrk2&NVM|Hp4tIFcA&J|lrI>XLi(a6KS_Z6RkzO^{
zgQGM6QK8a5(c{>MB;SBjCpR#(uPS_t4-G<XdjF6|{$kfs*fMum5P<pU<7DEjCL9>s
zE&TD;G}cG9+l&JQF!<$t$s|M*q}GGK8W_xCwQO=h(=ANUk^3-X*JiF?hDFBJ{y8k1
zL3rN$k{J%#-*3>%r2@6$f%~<@1uXK#k-fg}S-^bZ4KA)r1xzW)to^?w%vbf9c-+Po
z;1AQ=J#<$CR)r^$-$*WF)CN{X!Gmnj{CoX;@c;!jYA1HxWm(0nB`nx>eqo1C7Q;1_
zDimm97IA&TwT`)*>UFCK<^;#1IWE>0)WIrxT;;kX0saN;_GegggLU$=m9`IRkl@>>
zuWrT!I}N8EknDIt(z8(f5k(DdZMmEDGm;rR&vd+;xw;jWy*|>;W~f3(M2c{H9}656
zsf&BH%nwDP`|o|>Q-!51_=NC5R<O*RpSWlx2x%Uzu1}N5@b~)9uPKvk@L|&X-RNr}
z2-;tlz$Hb7Vb|UI`o$dZHRYSK+d&a%G5W!fuOfk9#<Mu@ST2ZQZZNbG5Cd9@DdYT6
z(q<keCEmZu13#9?w}_h_T35yPt!|UEJWScOH(U82(f(YF^Qt8L_%8lIW1I-;^^C1S
zxA{SD%=51%O$v_Ql-4D0dTT>leaX&o0XSGFI9qX323#MU9lG_N2*g!oLYjjR*k<IF
zfv_Cd`+Y6_`jZG;#p^RLBn+`@1h+<idGOk*v|6{F1RNTPwQC8YAlq{JPS9TkNN+lw
z_A!tIlOdJ2_Be^dSL=F*nlL3;uFkNZUfbm9(xWH`3rYCtmu;#*RDq}qFLqRxl0jo6
zY`D#NJ47`87*ZP|!hY|uBcx1KX!?@!r8-3#hRV&atUM-z<sHku=e26k`krJf;V%ns
z#ENy<uBd_g(u1H?c?zI^A9OQH<zPW6fVI(y0-_yDb*I}j;CoY^RQBqoKU;V{c_BiD
zZBeqJi^Ej#Nb2c~wo`;J?_=$b&QXCk?PskpFAX|0xFn0pl)z<O{n^B8P3WNq5=Rfy
z;q6POIt39GxPJS=;tPKo=y`K<JM?HluMAP9`#ceP+3Y@1+30}AM57Ld=|Io&Ar_}*
z5{OrJs!=!lP}qsx+tWf1o{yvsukfhCYx(OpQ7RogX6JehH1wfLFGyw^T@7B-f}7?-
z>7ZBnWF|nx5L{-sJTKDJA)mb1x}ZP@_g7&tgNnxB5>FKSOrXGMsK&J9Wg7h6z=mhI
z0rKv7Zp5TgfW6zWpgB$x?sA0xu3H2+{??|`dzb>3^fVO&H$5~ei8J`r2NTfwrt>CZ
zf&%0`vbuSlIz$9Ag0!Mc;m8%)%lX9=P`^DH>>Wvlb~}0Q8F2>a*>UrAN^IV*P+@Q}
zhYBQ(hfNejGC=3r(ZsVR>L4dK#1-SO0H*B6A{*)%kVyZ${8d>E#2z>2$n?lSSK13L
zt9}MBcd*Kgej<ZM{pp)Y(h|THug7BFvB^6HN3Q>@Nnj)2aQW}BAf#7%CSNaNfO%oa
zTG|5@*ez>zUbm17Y<VdIC9Vu8OUXZ(FrftRM8YmnX9&>An}-!JGhpt{&ulkEMbKW{
z+J5N5H1<CL009604A*x!)?FCDaeL3~vbV>>Gwh7tZKqHfm9mN?QIb&<GNVma$_izb
z*~IT;rCvg!GBTr(y@}Vq_h09n>pIu{{rKno>LMl^fi~;&d8&gnv{Pq$rhVJ6u3VQ8
zZwVt{yZEx9_JJg@G`Rbm&g{im|B2nG$}t2NA8xm!)nc$*l(IW5ZyJ9W$~_e%V+h%Q
z0})T)ZkV|Fs($Io67Ka#b<-jjU{#{(Ppz{M{70PY7*}1#{Vv~aqg4QCt6TS|4&jHI
ztga<hlYe;ny!1q|0|qZbWskA8^MasYRp_M3Hm<aZsEj@a&@vM3@BW4hat4JWw*_fX
z0<24XyrB<9civz2G-8A9AKHwi1~e#m;<lw)i5@7}ToJF(Vgixw5Z>MLH0Y0Hzo=r5
zE;NR1y9zv@19<4=?_Rf!e=}>7KFX~NogxG3);U|42=$VfKg~8i8s+R{Yq=MAHfGHI
z+E%fFx39lnl-$BK^h&p$+|z+s)AhNNSqqqDRpR$a&3`!e-A0eLUTxSIxJ@u*pT=B9
zHkZ3?H*v+fADt&vv?1j2_vPY&Uzp9IE{l_q8~BM6p)7MzS`hlR#v>g1F|NvlH^raV
z@l|c-5wT%SNM+(4<3HJs^?06Ozo@s4->x{6|G-2Oa_$^@^Rc7?Gv1W)kLg&$o8B!2
za1?96gBLIJw=AmgBa0dZ$M3J<oqqNg&4e}Js;-3739eTBp>$cJP3RgfJ+6_>5vLA^
zIjv(I`@3;<pJ;#4himwJe9}01OAW-B)D8Au{fT?z$5zk&TEi<FY?*HbsX?`@t<GHi
zFn(-*NY1BI>v$jAM*HR>6^;c6S%mY9;c5FjvJ!bWaH)#0;4^_#C|T2s=%@a{efcA+
z%@;QCq&pEZRT~sYX{Y<}LwgE0ER}28#rhAw`PePGGl~MD=Iv}6q#0bbSV+>-ZVO*X
zxY=6CO99sFwSPx==I{;0aFXD+ZJdAEHtS#x85kyfmAY@w<7UtPX%>B?LHwQZ#+jOA
zU{t)iQqH%Cd#B#?``bv1_;P87%pa3LCahp9^63)3wtVQv)DRtt7QOtq>8mQ7tiGzQ
zV!eXfwP?iLlwd%qrv7SQ_*5b5$}P`Ojx{_lM~!tQoDp%%D^1=#t^yJhCey~_>v)BK
z`~G4UX2jZ1F{55Ugs&fsPaYZB#Cz{Gjt9SCLFd_fyIE+6z>`1-EnwWn3td|#Vw2gB
zgy4@Co-WEjbK8@)q<{wfB@$j7e8Pbet0YQ3eIS4{;j}^jZ(8(xk}WxZgbNWU=HYcZ
z1aN<dd`QOhNc3|uOJ4~O8mC*k&h%0VzJz-jCca}p<~I))(z5JAS=wdq1N4>PlI1ad
zX?rHb`oaHHVFVwVk{c6|=uia7xAV!;d@QKOX(+%+QUKk1TI6QorwC94!7OX6NE22{
z-;M|(J@vl>SEUt!XkSAPVB<h8nrmG?ZNdmo-5R<*q5y}^D2J#W;6ifcPVYs>b|Xi}
zk;-SU6kuTDwOFbP4@!7*vcj4mhA1zdCp%{=fIEk)yjB%2()&aEV}FJOlI8dpSn)&w
zM7+*$2P^WSbM!uwOHxwkSY7#`a-9MQ-Lfb;_KqL<TD~8p-jPNtDRKNgG&|>!tt6FP
z5Jc7l&8>fYvdDPKwZqe05i$!T>-LxnqoU=$_KtEnbky<ZJ*jy`*r%%KKX0@f^*A-<
z?K`W0MiuW1OukS89m1u<H147($NM<*cXcJimTkhRmrH;}_XlvQP#lSl)K*>RRYvyj
z6|6VAlp)1w$R{UW5^c6ExL;i(A~(B~Z7WL^@Q|uWwd#;U4#CR7KSotia8rb+78eOJ
zjKcd)E65<P{V4&d?qtNS*3iv+p9~I-a9%lH7PX8^m6uvl(A$cC2Oc+3ptM}3ymm<r
zJ#(f)wKNs=XFNS`sH6sElk%>s?h2^#_#(&oekvl`NgSMctq#FkIR#c7ipa6n+tSld
z4K;_qa}T_v2@`Z*oIX+sC_STm>TS0gQhPMfvudji#pY`y*>GjlP{H{rcUukZf0sKQ
zVzU><?y}S|z96Cx#wpehM%2)~sJ!V4H$4cR>the7R6!RKo$2jD)KCMn#%Yx+2B5wx
z@b=|sRn%!~@ldaxiqMZMbSnUWovAMA7b2m34(YcvswpT$?|t_t4MW(PEGF~2k&pwE
zAA`9!8TB6stX<+Y0x2vkj`k!8z4sX3&0nK}CItE~9Bws&Gbj5ji?~S0Ip=K2dlLeh
z$l(}`K4}aA9|b!edaI)S?IV%=59Coo#k_CHCu6u6x%=5zs0!-*q@nh(LmFkts+s08
zn}EmA?vFn$i74W==`9lzag@eL__ics0{6Jfg3b;S&~m8x^x}RYv`^f<<07L8%;|nI
zCz>iDn~!~NXMgjc!qDE&QEkQ$@kBg7CsqOZ-ownF2QwjWn<dWRP-EzC<2YkjDTlgZ
z?>z}RyM}Wcu+29M8^gPdsHNI&8RSTP`rrr8Fz%|r*&35;1WxJS1a7ZMq4O>EjWK#1
z*wrg$d@Kq^AgcOhIYv$r#T5nG%D(-JRc*A`mgX8lUD7>;$MvG9Shy&~ZDAQZ{*(CV
zx1=Fl*UlZwJR^emTQ@k@CpR(5&x^(641gcC#VNH0f@sB}$|>X?4K$z9xrd1Zl)GrV
zwOR3@`19MbjSI9eP%KkwXM#cLcO!q}6doi~CMoRKL<fuE`m_S}22j@Q(xj@zfdXu|
zA0H#oLu|+7CAgpuHV2=&U9Dh7^~sUWr}gL|-kCP9KS2+Es5{5eXVRk>Ha_Q1{Pb|X
zsrqLgt_vnTcQYNvw{h**tg9X$=zumpTTFgwFGz2np^3Cx!%a*6)|<K0fw^(Wxo+xS
z5cOes^)_Gu&#=$%C9Tpz#N?5iN|$w@B93@jI$#Qy@0WFux=jmr%5%Gu8?-_6UV6)-
z><Di4g63Ekffj7WJAP*hX@luI{yQC&U3gN}cm?4b4Xp9u9-Y2gF#1z1ldtR@K2g_|
z8k<Z5PP&Ujt!<hRdTY<O5S2HW%XH41vNsLvOYBM1QP+f;MQt}#!WZnTQN-h*<1|q2
zNepa#tO0CUf@^-GeOQu_nU$Oy4Wvhj@>z0dfM9)akG1^>=Gx!w6B0`U9Gcta5n<{O
zpSMfq`PXsGKiwnDznKQ;mL7<kt*F7N!_Rp~8Ky8+F=OdLd0H5GexoDck{W1-3{H2h
z&R{}pR`j7yXkqw!G}Fog73$t~5oZSHFy%o~DIZ1$9QW9aUS6hxpQ^$X<Ld=XKZQdl
zbe#_NS3gP0r=@~spjnw{+!Cfu{@{kX>4B%CD)#*y3WVnTtd~Bqf|==Z2yk^V082-y
z8nYw?UZvP2XQ;1X*#(#VyOtTDSVSx*w2BNaH*Vdp-?M@BRR5>eq|Xd-=eCb&9wfsx
z-awXE!G9R<yo$-UA{O9y+;17*LxM1-laiH$ZS34yk-`CEHpmw9JDe;*0!{r{qwVKA
z?{!CRrksfb7Gt(4V?L_T+%r4M+Di*!p-f#ftDF!$;#V`?r~*!h1~TnM=>c`kWTkQO
zfc*(HE~}^l+5Z&?d<tNI*v_d7p}M><T5-yBUlI`xDBRd`onQn8ttTSv(YwIsoS>C7
z7ZG-OoR?I-#tc=?Wg(`2`G9rmi{FbxWze?Q8M39YLc@nc8P<UU@NxtvN+>8pFfmbF
zhK(I6n+G=>q=jH^>Db@ij|Aw7GVa-A<AndXLJ8Rm!VsLC$oJqH0sIFO<(;*-VV{If
zpUu>6h&H{Aj7<nouS2u{+(#Z@Q4^jC;Sz(HKHW2zBmr3W=B0%4?1IaqBTRozNI?3$
zYMlW;0j~V%oPXiR2ePAyf!h<3@O+t+eMW`=-}kXCRL$|j;h?6$dIM=V+iLRS=wSk!
zV(=`Izbgp&maBm}1u_t9&@!T&Lx7}y9fMPr!Vv3NyHckl2fn);>LPb5gVw_q*&xDh
znD4GO*s7HW^7Of$Yq&BLNLwpxD~Up(qhae!4@Ka3(I!`zOoaPczoi%Vi$na7dC+H3
z0^Ir>NHd+M0!>Fxuo;+1!tv+t9rF5=p=41#({4c(SX}-Y9|@EKhRONUvY9Gy|75GG
zn-LkR-4-lmDy3m`^L(|<2@(X$q!zT3C@?!kB5VDVfrBQ@{hJYF_-f(qD`Y~2!9BMf
zDAsa7LsRqR<30+g_j+Cl4p#%q8xP_#a^ykDbjDJ1g#zWZdT9%z>cHxmqC32(0JHPH
zveD60nEfJtyzYV~)b1&@AR8#bhG}3+-~<&OETpz=ifY62L}E}zAOV(Dv?lsQ)gXpo
zN>Lxvfr+>jQ~M-kAk2uXy6~$3zm6%vq)r!d_ujbl>mCuT<cRg|pQuorH1y_lo<6wP
zwprJ^s6Z~=5lt3dDi|=E=RCZQfkei5$?&QQ6m_3IICGi;Cd;B;HBSHr*3W$Ouu}!C
z3pOo3tjQqYw5d>X$q-6rMi_0pRpCwA7m=$QD&VsW_idGop!~3xrI@}d_<{M2SDOR~
z`dFKiS8D{#Gj|5Xn^ZuU=j`KqwF+=p(M7<EWDJ4+rRmRERbccs`*)R-vQX>g?VohT
z7#xorP^RG|Lg2F+{}Ki%u%vl8=J?nc?9PYQzWzplU|R9coLhU~p6bRX&CZ<HXJ+fr
zB_+5Qx$r&hssL!(UTku{Y7BFSKO8(Up#Y~07|MIsxS{+ebE+#CLy#t_{$MT-)~R3J
zD$SYTeB$u%*=ZxN8}&2SO_qh9_W63EQybW5ZprtrH;sVd$g+OifHd@-+f~cWF@;6l
zA^pB9W(4j}-W{?h?ws$lIgd?qBWAHdY8-fK2)BMNTU0YkKvwxv&EC%MxKHyaW~^!m
z4NZ|j-QV`WL*D;>dkak9wu%1D7b^e?#8n52JA{ER(|mZDZyqN~{aQb#1F(D%J8^hJ
z0CEp0d-bI+;U_ci?k7fKpw1ZT6?Kdc1`i)97XPz?Gv%9g7pED(PqFzEJd-@|3D3jo
zb=PoBh7Y#xuk=B&JT&xx2PYKo&ml3jtl@%wadPc_dSGKM`}?#DD`ffJZ4&;phJQBv
zS;)?&2QL+ywLNMWLHpd}K5yrpxrn~)yn!xww~!9}3Z{b$amcbQT*Yl~)GO<R>;=v@
zHgz&G+t}Rw<l?6075v&Hzv}f`9as+wnHO7H!(85UM`CTu_@vz}<i?@{xpnD-*PNCx
z^4z1co1d3(qsL)Q!N;`WTg^rH4XZh<(m#!y*tv*LdMaN${agzkGkw2Fxj2daSNOV$
z{r3X?`Rt94pIEhk-7V;By~HmJi=X@`$hUwy1-z{|?xhJE2iP}`i4I^EdAUzMIn3j)
zDv~x@+cdz{S1L`=q6_2cd^V7e&*2HXnL2*yXuw;eFXbcDk61(f(D!AtIb8mT!iLu~
zb$DtUPraE?fjukl%9WX$#cRf2%@X&hL*K<D8mGcc+~&;rk1Msa_?{a~3p5F8K*oOI
z^_B?7Ldsrrm(JpJ?y7q4In<!=k$po)@P9bY>|6P#X%;^&K((;ENrmgfu3;s;UvS3e
znp-BcbNGuc9pflYDs-G%es=xgH(ZB4H=53M4u81Fb;CN50&7lZG=B2*;j5Fzt4<?x
zc<Gw{p+r#%6sOI0btw(v+jku#>Tk~DeX&Wt`UPZ&j;*&~)E&m}W_2ANa9F^@Zaq`q
zt3!r7t?S&aCZl-R-TUDs){A)UKvvd#DhU+p0(6}Zj^V+3#45tiE#Z=9ueJVYRE7A-
zBvJ2Ezj2{0O)1XuW&8zQlO^Ap3P|OOL>!2oz==F(&iTr&;=kT`F5IT>{O1du@jUnx
zE|T%jQKxYYU-FDiH}E6E?#?#8BEcE_#ogaGFQjbXk3{PRC0{GUweJ%P;U8yli>Y$K
z^o)NvZI~FZHiI&#Ju&x=5u3+%KkqDQ`MHg2l`tH?cZ2}>bm7a(@e6o=nHa6DDlIx=
zBBcvEKEk|)#-jw5aC_%t2g~lzp{w);2fVnHpr2i>gZuq5E`9spZC^eHga%ZcF@Hsf
z$o->OdVdw4tQpno#u?FHt5z}EAq8k!t*WlOxsIn_aH)z&VMd)I#mbEK3a}@LI=)b`
zi9g}Z3kb+yMQYdIkG^h~hveMXm-lmT<CMr79XvnS(UaQ3(L6hOc-pxsl-5Cm^j5<|
zMJ>6Iow~MH(2yKxPwLj!?cMQw`5S^;C=cp3Bh}MfmV@XRyS)dR=+SWGe#)U$UUWpO
z=(mZ89Mt5*cRmbaL^TA)*w$n|gbwBfg*C}S0yDYdgbg#YP<=PF=_r5>9VsG{uFFEH
zm}YYDaaQCd-n1=YErgy1x64W&kOkALCyeACu%ibDh)nT5B1mt%svuHc7FZ^-OB?CA
z(6!~YwYb_n$WK#SXi7j9qH@QbH;?e3n8`4C%N>u<bGj<|iORyQv-ny3KVIZ&cxmuk
zxFo`yDA_govS9p&!6M-lA95JG&>XWVg$f*{oOXxGLN;YJs$EO~DW0=mSW1#XSKLe!
z;)iA7GA6aJVp|XmB}k52S;--<tWo-IUpdI*9dM+uiJ%cm>g#?f1@xbkF<l}_9>V5k
zJH8t1LC+_8rCNEF5cSB@`?B&1z<N{BA}T`+X?&C}s})g3%PK=BpE@c6^LLtEnf#JS
zsW^n*O<e_@N)9;K*sBB~^z!84^HONS^zJ6jaS}?e`fPr>SQ#>3nq@xflScO{Uf2D@
z$;eyAUWWKh1*~eT!;hYjMcutp<CGQ(`u^}z_7H`<(|gtW$HwK5iVRcgw`M9*<IM1w
zE~0?2x8pgF5CwFOH{1SLks3O(NE5t%Tn)bbzUG_Gql7@xv@-OJI>KXAbEow+V1xU+
zhIs}76=6Li^E2uwRavMh?T{AKzpbxX5h0?s(qhqFS{ms4ph3)bybk=TTDK_=QbEIW
z-H~!+4dkxTe{*zD7y39EZ+R7}q8JCZALH%ns9Wo=?I*(>|NiJbQJqUd+9y=oh<xg(
z|IOR;4VC~Sj8S@XL^8@wKVav&OhxmDc=Fpk4S}bQ7<<-*jI7gkEkuM<5bgY2Zt__p
z7-M+(?fGdk((mr-&$voLX_wjJ3r&oneW69_jy@SV>aSjY8KsOsPLk9*XAFxO;(u5_
zlTeH5^TY@<1;m+%>kghX0SS|#<g8{@)P3}C^5J=DB>4MyhD(_VINdML54fa)-nb`@
zKlBzulB=_k2OCV_eWGyanI2^nJ6E;5a!CMb)}@aZ6qvyIxXXNz>;$AIXX~=&&4F59
z8}|lynt;Xl*ntiKMRest^o@ScZ5%m@-9s!Ukbd9`tqzMkGMV3NHV`p_r<ddHMG3|*
zeae-PJS&5O$&z*F^ae2=r|a>RoW@|F!*fBfR|;`k{`MC0S;h?Q3swxmjew9>;{N7|
z1d=H#je1l^17VUa?(Q>&(8OT<U&EU{C`;Q&KH(1oXqd~gFFG57LrQ}=4}&mD+gC?d
zG|CLGj#+XfbpSLSy7K;JJU>eO%7w>GvI6tBDW$c208_N|PCpLwqMzZe;%*dnAVuFT
zRJer!V^c?3^(ziki_^PbA7O{7#$QL%6Aa+)*+lA-L(J$7Pgp*#$N}DJM{m3C^xoSG
zVlAOwbV#$-C-|up2P{28OS}zw&>k=;Kl5(`zb`x1`}a3H_~oM-#%W#fJ3cVP$+3vP
zbU5oE@qitc<?=%Oq;+AR%$+#9o<BGbskiflIy+or2%d>`-Me$Y{ZOjagNy9)Oy>H=
z2BK|d@u5$3!1qxy^?*$gE=(0QPK{xMuVilPtYvMe_bTjJr0u|rE~Pg8+Rp~#thS<7
zRy%!r*<UiVcnE9X3Z+|6VuK{@HIB_fEhryb1HJh_n9audZXHE7*ni>9`d;px9w5fN
zmwr2oRr+|Sa9glJ?uVa3C08^d%Yyx1n9?G4GT{84**k2Yx64wTbwUHIsoaCwM^-TD
z^=A3^8*Jc_5p_|>RRd%wa{lVp>lp3H18->Wvja0d>0)WGI+SRqJ+~15hovYUk61d$
z0clp@!tWf_A(c1M<nWhmEKTT!eWMO1Kwj2{@`xHZBpoYyyq6aA&A7g%9^?XvbA8Vk
zE~vpv3QJ+)4LZ=WBP|ppa0876{drp&HMn}E#;x`nJ=oo$d!!V>1N>_VVQMKmoqjZh
zA%e&Vzty&KIc$01ce!O~s~Q!qak_4A#WO)IXN$~ty<N~?-*WU=HwDHvw)cpwFhh{<
zzqnA~1MxZbu-#!4U>z&<Nb+Zep(`8*SzY+SC4TP8IaLaDF>}6JXJQA%jb{N#X##NV
zMKP)xCBtD%BpQ`*fd7%7Z>{D8p-a$d;&RSTKfIcJhh63ZX45?)r_Kn2-PlJ7OHVS0
z-k(VBQ{{nJ?M9`|O%Z6LKhiv?Nd~2i+>AmhFYuW&wUa9LfbyQb&Wzk-ka=q>%44w$
zJ{kL59*-A;>NwN1Ln9>U8I?P8{nAdyE<}m_7bO7?CT|?A!b#Ap_;T)e1wYIy$fewC
zmxPB8$~5z;NN~5jJ@h-PAk=HV)%rRk1%Fi<8-9Es0rvoz$a+}_8cqw-S4qe~M&aA4
z<7*^1c0KwBz9kGl6<lr^y6pJEjXkbLo($KPdi}#Pc0=x##L|4R9FXZQ-~a7KhS>z)
z52ucbLcE2`{WvBCU}W^Z&-aoH+K<9wwiU(Uwdu{|F;7L%i4LStBq&fjWpZ4aRT9)z
z)(S@3l)%YzmO#p;z!oL*Y$1yjB)bh;Q#E(oUSAy4r%wg*#fP!ad8OgOX#6wkj{i?p
z68JwXQ(;+_@vVlm40N72S~4-J0>!4Y?|53(V6zG<exfA{T^7r?=tN1tnE!Ep?|XIF
zZGHlt?RYar`L4pe5E&dj{u7=0q5;D#O{X>7<Uy1i6CNH<20xiIu4Ob@z*<aS8tSV6
zU2jfm<qVLaBW~kTy}34=JNnw2>7pXsWHI{U#7lv1BI?WCPjn!1c<$9ZXC+8oAO5AW
zn*t}h@xOH3JFava;2^3IKu~EC&tD>g;cR$i^L0H4zArk_JWc?!ml92dS!8Jab9K{f
zK_4C|J#)YUm4WNY>00&OWQb!GkbLZb!9E*-FTLND0jGV|BJ@EOYDA_?4eS9D#55D;
z*oY8go?<mcqXK^wg*>MJ0vx2t5!=g3gz1RRPsY;(@E4H#>Fj3+1<gZMl3$eJ&hFfp
zq)bI%s~&kc{nHT4W>q9-PAfwk>5!(8qCC7hFYF^tF@lV|mUmy9cKn#%F3a;+23o4~
z`CHEz0ku1GZ`10IAOEiE-`XVwY}#y0e33?=!p_dVmsSZlV*I@YwZy<<x=j5*lo90G
zIl6utQ-EuGf}L0I3IjD}(YV3K2;_FvRX3N)!>YeVsQo^E2tV=X%oQUe5FD5bZu5|X
zj+c|!)4n{A&tPRx&u9b%u@(Crd1Rqv_~@%)IW|!EoNU1T&Jc1LQxiifr9oS#Nu=x~
z1Dv|O#*lZ~5U@XD;&BdAph+H$c`m+<Z3!s-yvkw-9IaQGnHeR4_0+AlXu}okLEwud
zg?s=e_Gce=1&IOo?}V};hB@rD{s6HNcJ_<G#dHtaJ)o4#NTVF|8&eO6`Nmm^K~k|p
zWW;k};Jkc6&&qoU^Zd0*<2PmindYUBbs_|z)+a-wMeqk!XKeK#YqtSx*)*n1hVp}C
z$-ZN~D_^jH4()>rhxI|wYTd9pZx@`u{UhpLWgAwzkv)9)wjQ(`b}s#InFmPx>yO?!
zea6bO#Qs^f>O#lUvY>CnT(GY?6$-AjV+^AgY&3T1g0Uo5WA@HI6V#pNe0{hRyI=9f
zPStTQL~2X^3Vz25-`{Dkvbui5o(jC|)+^G1#8ZM)s}yFS>sJ=%aPGrCX*vqnY->Yq
zUT<suD@M>Gj@kWX9m3XbF*exlc=Ht(%aJJ|2H-k*aYaXY6r1f^ekJu%3qp)jk6o{z
zgZY{C)Xj)-Oi&}LE=^bq4&EOAI37(4`37NonVBZBlQsnPhhduVBZ;o*TRaU&?S2zV
zDVfGPZHeCWlNt~&sr)wk>NfV9L8{DQ?;Iu+`=svmaSgaq|5?^jXA65h8*uhNl?BX7
zjg2My^UlBK?xnDs{=*s+`HC|sOITR+%f@^&b+{xiaDF{)6Wbt05+lu5ux7tN=ht;=
zuzv_NSE-xW>z;S~OBdI$W4)Sk%|>dVUrm#e$G(YK(lt%XS8ibGxg(cbnyBD4?iA)G
zxrzCh+?*QW-NN+KXlHS2D!d*xRkc39iN$t$nB(R&5F_QEp4~%%XQYcsS__-l*{|)r
zL#edzp@7RHz>5M7w|b1TOa5W<9t)CdTXgW0zBtKbiwsdrWo9oQZDEW>l~TP|89@E4
zwV!x08NRZAIb@2qF%Em>2Z;hq&{xePEJ7s%t3%^+r&~0zzsKaSTMIK3`ex1N=8|B1
z`*^@zTUr=7%(kl`mlZC?WvY(+RfYcn0096043~E}mt7dgZL+fW-hTY1o$=g8grbbH
zOJ+!~6f#1HL`fNCN2EbYNvh{TQC7BuA|or=d%XTV=UnGH*E#3@+~3b?TH&8KbsF&J
zRnv5P$N~fGvI~|#fKO50ZKu>}!OzYlT;VGl*tobhd1m8bN}!tTW<v)7Z?lfyXXk+H
z*I$pJG<Z0Ag3@fBN)InTH!1p_-~=DrnO2@l%5b*8-F{<%0iH2axQ~@{K^4yygYkkA
zc&-`TOS{YjmXE_8XW)3CNUrX@YnT$y3@iEH5NC#Uo{H_4pLqdCRhd%CtppbttyQlq
zvOw2>Ljzk3Kct1+U&*P#L1HX7EwaD{6CU=(93Fy@eH4G3?lKO#BA6}&9OQtq|0caz
z{e_{o>)M?~eH`?b%Y89HIN@dH<8jG+Q3zPbdC)I|gQB$jhqX7jfc_fWgyfDmP%h*V
zQzUSZTqtWAG0zQ64&U?0hLYfQ?_Gkk=Kgw%F;(WvyzuvPMyheH6o^E{#L@hRgVu?k
z_j?8S;p~G8U8M(QpjPGu2iA;(sVwG1{viQih`e$nHC-0S=jKZ7jw=DZve~02bwa?V
zSWx9kmWQHkspHJF%3zNr+RlF!furq4jy^*Qu&U@rh?r6a+LKugIg4T-IVr>UJRJvt
zLjyM-9w5MMEx&MmjszrTmae9rQilH7owrxd5y6gKVi(^b2^T)*@RkS=fS>qP&M%$>
zCSflEUUN#rnu*<>T{{sblDuBKMUvrh&7t%XCmHaOac@6YO@d<1JFil5De#5v%#~AR
zvJjle<FFk<hM?{5p~K@UKsD#6w?{1xFOy4lzKT)60{<-eyNwzQ7kr9)enJ5@#I;@i
z7Eqw!FQ>BXlseoV@lrUPt_U8B#-TDB6mV^Q=|#xZg#4wm3+atGaA4h4yC|#zPCQ1;
zjedtflU~judr%38itn$?QK^7c%u5b7a~%k*u{hq>tPFuC*wQNtDG(wcM0HPD4~$Pn
zCHCFK!;@np@|{!^XjAB{x=alqd?O-pkedLv{1a}m36f#F;gO2rFM#%w7dYdc2+-#F
z<4D<WBK-6i8Qmz+2lCu#X3QA^WM%fNM#<vg%7X8cd>aG6?KWQK6(xYj!$|uUZXEDN
z)4hHC%K$#3U)p?A@zC(Bjit6(4$3EA83Z0S1jnKgmWq017<;2BTYg>|I$}6%?#CL!
z#(?j9`x_;2i7$Q0EGPjCJu>4{IflT*&W-E_;(()bq%6Ek5FFNyJ(s#?2#xPKlvwB$
zfw}urzW*#YxFkl&2l*O;mFkMy^GovJloOR6q{Rlg%~7}w1w%-Tj`M72l?C2xhq|7>
zv{1^vk;c_&0O#iIC+dY{pyBDn&>;Ofq8ZZ@P3>m@neVD!$aqLW{=-J+XN}{?I-RIa
z+?GCwm^tRjy_Nup=SYN0Nh%_yIT=tIs}JR@AxRq2Vz82a=J6lKVRTaN@R66y`tZPU
zCbxD^2;v6!C-P^}?fQ{Ii4*{y4%yA`i~=Ar>A_<#v51NYi?cNF0Wk8cC=UZKoECCF
z`0U^+nizhHy%s@WS`C(H%D4dg@1B?g=Q<i*(|0AnP7i*y?XjmG=YYJKHy`O0H_(KT
zhd;wZbRp{I=;r(5tWdI~=o6Q;fzGZM<s0PdfcMND1yOG%$c)dbsyerU8d)sfZThAS
z@9#Txb^WG;YL#AOYGNI&fb!5W25rcByl$peLk(9__<5qG*U@7xr~`8N5R@K%DVNf-
zgP6tTSGH-cq1H^^G@*%F@aA08=AoW-<h&wp>+qpfv^3(40-;wEq?W4A6TOy^5WU-G
zwpuGF!wt`{HF-_w7T+^OBIXhQo=ZD|u#9#{h`kGr)Bqo^BwrQoX{5Cx>7t<B5-J^P
z-(WYW4g{W)LrlA)h)~g^l+O4?^ayvF{V_dt7;|A6VK5p(!ZVo62f7x}8`EiH9FNo>
zSJP8E_gfcou0{WyC9;6(<rgh`a;U){-Q5eee;SZT-LwA@TjtT4)NN;>C{>tfj%{F-
zdVvgY+~Il}HjiEx&#>8EQUM;CNHpa|5z6#**x21-9u2sACu!7I1$yZ#Zm@CHqFuZ{
z=L(GG(T#+&|2_S)&xaRwnU@Be(Zl%D*Fs(9QN7<afht}UsL7pIs~+w|oyiU4)vS5+
z?M<6FmuWJL*(I+~U+F`ylKvgR?aZUU62$Yk0?0t$`uOJ2)&bPL!(Pnt+5&nuj4M!c
ziv&!y$sL^wzfkA*b7dV$i|88_VM<K`3H&b)EZ^K7LFLGmKV3H$(T2f!p9H~uZe_oo
z;M*KUBTrjVcITGR;g3Z-;*LbnV7FBa-xx=QuEtjGFt4D-SKrzu+#rC?`ma)Tno0D=
zs7sE(@l~`B|IAF~BOX-d=>K^OPoqhGXEpxA*3i^zy1558lwridMt9SE7X1*f=aufV
zfx4is%bbUlA$MNz?8^sp=thmBTpE50ea%k1r53FOHQKLaaPjl#vb7?9m9&E{S`#!Q
z+Hl}i%J_MpcLBYXGQHO1w}&nkWd|-x;((lcIdL9YLi1G)<^5Qs!akj~9eWYBU;i#)
z_t_ej(FOLIh2Y~f*ztwi2fGIpfThPhoZ<W`%BFouPPvm7)5vuUO*T*fv4`r#lbY+O
z|AoUF+F|rq5IU$O`a&KwX)GHU2%9K5XL`Zdk`XJ)Y+&w_k%vq_pK00?+i0g{(uld$
z0jw{><A7X&9Iy=?KmD_K7xmo;{Q4|`1uH#UC4Wa&4#Kmv_#+-rVeNHl734KGY|_mu
z274(BQQGGs)2L`LoeK5Q*b^L>#<S+y7*kp3Xk3c?nLvw?2h<kFzHnlssOqf#X&I;w
z?8bjor^mkO#yolD&W$Bs4*k5IAp=A=RqY`*Ml3MyST>&mFUE3K=Cp&A47_Qy-<9V&
zfZZ3t3~c%MvFurM-UeYA_;|#a(rUtjW!5dMH&Fz!nut#JGpo{2^L_h<)+;v5hQ|Wm
z86}LR-bgEZJ0=a+lam7Dl{qjYP1`5Mv|`wZasGjyQ_?Up+StRK$BBjP#mb1CmcVRn
zyDI$;$bg;-ztCM3ZcNZ}#wVs<5}QjpNO*1{1J?L!jIpyk7`ILR>%IVK>~YuY%+yjD
zNO<yPN3w+vLq?hI+AGLn4V0H3eyYlXr=Nb_#clzN{m-kYz->9K`Xn_$YF-wSs4u8+
zGYVtMT&~6bvkF+rr6sD5zvUpJqV*k(hbXr5wceF?1&2MXxcaw~M*+P5?Q}WMiDS|u
zoesvFcx-}+JD&fxBAn;ZNToj^i3w<1REKF1v6HIffj1qLAf1<+|Jg?=EFpy5yrhDJ
zoo^at+K$A7_xEngPr5Rgk@%a`YZw{3ZRhV)LQ4X9rU<mGNfu+I(v~Q|D40*)6c~k(
zp>1hR%<_yp##5v~A6BA*aV(kI9#K$%+@lOV{c8%?jqQMv0dG|-H25NE=ztm|6+XTB
zIsu1?-f$PRTT{gXl`A5IL^Qxe$D!jYlQQ-!GOtDAuo^aew-~WFrL~`%?l<cA;xV>R
zzaiEAabki0;mC4r2quTucNG#a*>?;lCTCSK{!c;ooOtvgL_?k9eGw7kvrF2#qo#^&
z{2rzn*90&ZPsj@+k+8Wz{(}NyD%f&bfx=xoec=3bC^W;9gi)JE8tpwLV;*Yy<a}oX
z*!WR=%<n%ECU3IqW!6W;@-LN0oz^u3#-Hgq8RjGmkLqTP{Zzv8k0nJM{$~i+50U74
z{t>aCGwjjA+47jKT7=X1c_WyZW!2l7BVZ!bwA`N%Y0SOw&SGGd5hQ0kDqzULW5?X4
zuYO(-#iCTNpQ~*(0#p6-y%@bRHal&c&N$4AF%8#^Jbi5hMwZ+@x*9m_i-_GX;9$dk
zyte$O9%Ka0876ZNK>=f^dGw)2nhGoW)^a(D-w3Y8jRrE1<uHy0*UhhyV`wesdeD~w
zLs0%N^FkP(3^u&$`13*cFXVDbcEk%2LoiL%D?hg*i4|`;g?&m|Masw_wY9elz=A6D
z*r{Q0>>{iG`D61`uoXO2r@o^PsIN}a_rJneEu)(59)TXZyM1OheDxtJA=2HKD1a5m
zSyEhdm>}1*d$eH)z%EVrgZ^_K43V}S8a&Pn92r7yoNWN|{J71Cew^5Z^~~?<`798g
z$X9W>0D*Ys2gHy;R*b?K9~)rL3V-aPUt|>P!Ma+cgs&$fwii6xtX#+nr@MI4HQ(yO
z@!PfP-WO>w{@LS%p<GtLzRK_{_2|I6_0lR>-a?g2E?B<xVg+-K@@1htZLlesE8?D6
zLXCS%DX+L$K~rc-YLuc4c~3n2>HMeA^nL*v{Yn<7lDVxK{NEw?81O30kgFf%eP<iU
zeu@S9tD-KkRB1uGNa?Tn<vg_7;OI~p0}Jq^P`D=OwIEsa7Twm<PULNc!LC{}GqATD
z%yM(m1R<`LD%0HGh!OZ4{P2Vs{E~mUtygORSq=Y=Yj+x%4C-v{DrJU?pdvsL(|}4{
z23NkL3y9Wyfc&rheVp)~X3rATVWi;J%j||_#H`w&$cvi=;@Rjkr8d-nGdG*1d1nnV
zAuqkOzs3TF50vU0E~tT<&tuh!y-h^_e9y3!5G$x|X)P<ysDdb+alLu}4)WYSzs+Kh
z6>`Ui?4$ft;Wg*)Su=AgD4E7xuG{y%Mw%`jv;91<6U^ytSwIbge0gl|N7*5H>S|_E
zqzZIviL-Ys(ZI1{@BV6D4(MKd?R$z-1^7Rl<W4c61NA{AbBPWP5cOlRXnafo=W4FV
zt$cd;P5nl#qlgoT%**c?jQ8_Hn>wQ|9V65paMLQh!v)v0hr2DN$WZflnbT<B6OEEJ
z39*^nz+Ck-aWa(*hyO+;e_J~M1ul${!S8rr;nz1Uf*~0eRAj7zZnJ>sFpE{{Ixjeu
zAu-9DB#3&%UH2Se0~US9!z<SOa9-Us_{P59Q2e{B+gJ_)32)+6-zorK|LdXt5JlSO
zIZt<D7zaG?ZC&E^5`ytPhnqvkNkF}}HDq;-6NW6;VOBx}-jP+RKj26(^t;Ut%i@Cd
zifeNG+oIroX-oO|K@ya=q?p0i{k$GW<PqNxhn$<g<!ttdkmC|fk!9rts>`uEoUD>?
zgMdXaZxSKj*5*r&2On&4edl*nmI6(Mb^lr>5+rT0$35=l2fiEYpSql+VPQ+t#9f92
zC5~sKXwL}38=Z6VKG`zBXot7RI6(rt(nJ*j8ezca_iqPG$->;kinMg<{yo?ze*OJk
z1T+#heWLZ{!Ac=vVd4)7?x?b~ci$ER{G741d4U4tk<_P~Y{)PadZwmdM*@Ve64b8H
z;eguWO2M-qWMH`8x~{1s32qX1`{F&6K(6!Oo?#dTsOX-S#TrS0d2NR0(+|pUa#Qv9
zo`wq8XDs0#TT8=<@)yTy=?LInmb%l=sR~ebb9~xU2HHHzvrdtTP$?k(NNT@dm@~c1
z842Cb3t}Pe=R`;l!Tj!qv8XzTHku@O-jsvO!^8GN`yP8?r|Wj=Q4P>xV$ICDD-YYc
zZ|8-2NKh9xMBKis3F4^HyUk<;I2tMS&taDY*TO&J*5<U}_}}-q;7f`?*m+>;y+3Y!
zx`M^+ls0JJ*Iupw9Mlz!`-^mtfVDhTA?vda%%8P=qCblRIotX5pMfNJ<;3=}f}{t-
zF7lbo0ZO13_WCNZg$SXH%l-Yg5V+rR%c0<_5;W+)58bmOz=1OdM0b4vylwP9l`Sa2
zSV0L*M65ET4^K*}?e23@?`o^*gc5w%6uoo%JPs@h2&*mO`ta$Y$Fg>@5+qbFuKX2K
z0ABn9Rqs)KFyg5;k)tSqBFo0hv8S@Y+<A1looE0o0r7g#N&6nH%H-9fAPpI=2GN49
z29QX7w>GF+5teGh9g0gO;Hzo#!2MtYs6Mr*oAprvG9|TqE2Bgpc=E4(%OwL?kKLlW
z{ZJnMll-Q*vBnSF?b;_e9Sz{2scG6>KRIylyC=8tjT?OZq}JW>25{xPHM^vYEa<FS
zaxd_6K$Bp+GWS1yIP?7a`M7pzh-WGYFE2j;%3&S9FBa+p%Q-3Iv=Av+y)))_M~V*G
zWttzAAJYd)UY&J-lqBTpejcW$-9vE8bH5Ac0e%>%%hnf*gU<t|#6Mwc$m}XtLH#X&
z<yUEp3F4x_v*XnLI$;6P7?hId#Q|(vr9a?*BLqv6!CmbeQ;60dlCpOK0yQ+T*Y95t
zfN$}yR1VpUB7zZ*D&D-;1I#UaFxQd~<dP(4NH>R&%$1(-@kL$mv00F_vEu>Lfg?{d
z=KGK(YsCz0WnE|%ru0=Ma)E>_efx$^5Awz}ME>469nkch?`WUkfDD@JOa&9&h>i;@
zDded(<X2an`qak`_K6Nh3W9nOcImmZs*8u<0Q;vHRWd6~s0-eRPUuIX_td+mbq_(W
zgN1KM?*S0bQ;ApnI)vQ9RKDcj(gKXquyDPe5rXXQ+E#>)AnDdeg-pjZ!L`YQmUfvQ
z{(79~;PM+o(j17L&3c-Ey{_i;bEAWj5c<RZMSqZq8Z4Y8R|8(#PrWf>qlMXyC-eP0
zGsq>+OYM`?8qh=<s3QHPhTATfD*dZDBxoju<FJo9IGXnsvFuSnaMLcuKxY9dofS`}
z?Nfs_o|2;*dQ`y2eMDQ3yo6-wk0dZ3Q3G1OWWC>3dx+m*cIR%56{L>0{k`D_Rd_hD
zu$LILi}<|c*!DQFhA4y*A7-no!n)-|o8{;ZVigtf{7vKrg1?oM&rqoXXK39Cw)b|B
zFSK@5S3hqdy4y@@!D=cnIUPe29k+vEWog;+a=XYYJ6VazcNC~QDEvM6)efRfoOSqN
zMFm{&toW1>1>7QUMP~}{B0qlI`D<514VJ(EO@HYigJ<)l>eZTE1p7dr&dp2<9dtz=
zMs8#n_tmnoy}O6l_p!u(xlRXu!qhR}*GW*&lB<$(oC+fAzhmb`8Q_kR@wo^4T+N(L
z>wUFI1qA2A8^jJq(Ar!4TTI&LifUb{-wSF`ua2_5_~-!GoW2lgQcMKmpV<PJL>l<+
z0+-rySb*ESD<gWD0N=Ll0z#r`A%iRJGS5dgh#-2k1s)}Uvt4=WLOLBd=e^~VrQiQw
z2Sj2k%J6V0nbGY?3q71jk-cMM$O*xCSNAz#Jjf1eNPsjWI2G8aw(j>OHqquv+B9Wo
z^7?c8XATpHoGyId$H4<%{Okf(g_Pl=K0nntJ!W7%A?4Rx#0!DUTPJqQltAPv>!CA@
z`}yf#S_-`bKiv2eoRMs$1lDgpjfQTqfm|6l4N(Lk?t|QKdqyST5U=ZQW9NXZK|AWZ
zWMPmZM!oU)hJz26R*Bx4oUl0j?W?ApDAYSG6f-~HFVvKb+x+2N@Xu2A*}cc&@XqVb
zTiQY#e3#nf@Eza=&1+<vZB9wx32XNYuEasVu5<Y4DPHKftHYGwAqBQ0r0Z1UIB>mn
zwet5OAAC!nn*P?d?|VAWNR^sOkSpePFzvYje9St{C30+^lf5rXr7M-dhMkz(ogf4!
zCYCv7e#(LMyT0C&PRfwQa3z2~P6Pt`bq3!>E5I<z?Thc#@nCP6!!=zX21TleN}9+x
zxYm87h{couRDo6#8W$v>rT-BB_bDZCZ+Rugb)N{dTIvZ}*^;0tj6XB@5Dza$>T6Wf
zNwCT({#>tD3J~wMigs%vxE-CcXN)C7V<4dw725Y&XZ7=SAtX5M8?7^&K>=@8F&Pt2
zS=bhcKW(l-2Js_z8^$|TK)3Z|pmn7jBy|yW+lI)XQM`GfR8<WwuBm-B+LMP>QwI4a
zHwrK%i|DJ?09!z$zo^5~HM@R$Py|zU^<rC$0#k;fPu<RH!lvv`!Os_PFuQF(RxwS1
z&Rupwk@O+(<==H4j#YxX1ine;0Sb7|oqg22q76vpsgRf;WeABk(>-;Q0&7#vIQ3Rt
z$o-n9epMR}EsCZqI_qS(IJvW=k&OU^w9gQm@sJ?Fwcaa9hN8P;|E-h)bj>e6B#IHB
z1xYC*v68@Ndt0jbqCRLpuP<645I_&(NGZOG2R`jW++j(B{quU7TW{h)=CovOK{5_T
z!)H?DUl@Ro*S+o4eSbaWcIkbIt32HInVR(yHiV0@^prDo%J5kDV_~VF3|NfmozrkN
zgp6>ts;>=7&{F^WvtzdeY}qsWO-CC-guz|K_xEt1J2ZVw#!(o84;`MZjWmSV?ncGS
zYKma(gzLW)!VBq6M@~n%7=pG3{hZn>c^HT;uC$ZlfS90Pqa#v=;AAj4o+2OztyFfl
z7Y7)?S<qyMqtjrY+iDk^F6`$V5vd<`w|0=f3Rt0XfB^($4hT8aNrC6OZcPr$JTkvz
zWIs!10I^r5j;0DoLVh&Prj6K*Tt+ioJ@4p)Zd!BL;G!7NDW#7s>9?ZV8{Q!+g8Fba
zb5w?=M;IDJJ3nidj-k&}exA`N0B{JGVB7sA0GVq?M~}tKp@(HuEkqOnK3%PisSxCY
zAgRLJu2qXDEqA!{o(Hn;F{a1s<G4Y`tCso2#xlx9xbZU~a^J71uEej(a>5^>IDa|g
zRkVUj+GHe87c5@!7tyb<LE-x!YO9^A=(lZm$D~FbNK)DQubqw=5<x$-q-_-qJ6(6L
zY*ia>T{3CB9LxaOvc>}TXI4=*t6!OTyf!@G&lG7gp#?5{;Q_11E2ulRQ1Qj*5D*%j
zkAJv81?gs*gYU6rRLjEQBCcEuKFa@D_U+h0EHpi0FMeD?GkqlcmNztkElZ-d^3)n)
z7o%)fU$Kb3vZ5z_HPZxhvjT@y_a)@@jL3>g$pYFf@pk%Xfd+gar@rRs`G+V=zAI38
zJdZYH2P-M>r~_~1VKv?ADP(Ihu5}~mA1d67P6@fF!z=sGkNKU)5NkgxHTIUjs29u#
z_SCDvobR1D1M6Q%?$7GmoF`||_!TQ-F@hTS`O%sPaQ7i^*PT{{1ZPm*W!*t6TNS=F
zF0%4I`i4w4kCz1UPov`+EB46;RblqN`0~erI>eXtNur?D6gvJRHq`#Q3RuwjF4@SI
zArf|dKNP=CqWX9GF6>dMfa-O|e}bO(&?8;{QZ>RS(WCvXD$bD<ICZ9i@>0DDm7-y3
zPw|;V<qX~}SyNLW`w(r~Y)3tMU|UWs=<Xys5FDP~c%2LtI^V9SIyR%Rk8%u*S0~Zi
zpUNC_50YWBb}X%v(1ET-Wj5xgPN64)uiwG4NRS-+-DE4G8+|Swr5o)%jf(tecM(t`
z0Z#;-X4jKG^s9^FuuaGeTB3&NN{11l-T%tmyZRp}pG^cCYyB)L&P>WsDJFo<v0K*j
zJwxbDM`4|U*&J%P@^lgD!^1!BrbnYe!>Ge-@||(Uc~nyU!)rx$JltkZx_^P?H~QqN
zaDWTT0{Se*`Du@tGQ2T=Qh_TQMMHT(Qjffd{!V8!R8CfcPN#vWQ1@{(nKLY}Fl-6U
z3y|J_FdSI@r=|H)<q!JD&-W?!-(@swXd>aZ6b_=Zj=3sGPN7fECJ-VMR#AG(8=Nth
z6#;e2Y%{0KplX4+=4L0>Q9A}Uv-ws9_{5j8Ugh@}y?2#`Vq?CE`X2VJ>{n6%+G{4;
zM|%IES1VsM?1gTl9Y-o(n%<U&HaE$tj6(}(KzX^M?)Waci+ew9y)Fk5e$V)69xtMt
z7R3je8mX{!2lF*PFFE*FV6HZ&zKohE!4-a>!4~h`4Ei`A3)hybW(hMZ=)nD_CzgKF
zV%sP46XH(F!Yvw+@~JOt=oPY{j{IYKY+&JFPj#OR<h+g9$nV}jUj+H_4d*dpl03s?
z^t23ci=Lj+<K9NUs14kE)pP*+{*#%N=btp#Y-P2JC+?!e2}JA>o)xoCm3edWx-`_L
zO_|-wqr&bLkj)g^*s(Ulh(>ccX*e1F!Ng3227A!LlEK~2fhAO(sTuz!1=h-~q?(Vk
zSf33Ge(M4kR?z#L&LUO{m_x5;7ADeT{K!RWWg-uj($n1XZ{Hj1(!_GOV;Ql0SIsA?
zLVVbZ4=(p&xuqb#-U&HZegF$qv65;~6~L5|qsOHdC1Iy)ZuA%@D+ca2stT?NVG1>C
z>XxIDz!x6ZRbIx9**nh~TxAr+SoMxj9h{Z~&y!31jtv}`P~wTfkp^+>Oq1i6odZ(9
z$YuKCq#YM_#6<tds;eZ{%ylc@%|r^Q7yec)ALPN1Q`zhBRMOatS>T#^i4<goDn4la
z$BPxEMmqMPGMLh_wLcGt(vWyOUe|1sAM^CRRQxSZ4wJ@>9TfW`4cEJ;+{4I1n4W!+
zjB%a<w!Eqmdap+Y5~LL8N7F?xJ9)U4QG>&BO#QV>Xyt(Kg-x=Gk~k)B#ZpF|SH?VI
z{Fs|U<w0aGeqwD^0?WZ3q_C<Ju_mR&%ylD0nA4s$jq{hn!sf(CNwp+wtJoH2=%)nQ
zOj`jeo6^|ymc+fjF)~K&`K4cYzmFR3(kVSom&N`E0096043}v*lx-M>$G$W6ecxvo
zGsbRs@3CYlvXqFT!Y4^eDP&&?B}=3zg|tXXg@}2Ph-A-FAyoEVc0NC!``7&(&+%O6
zbv}wy(ZFtLqQ`Un%JHE@==t>CdevANy*nsoO4%Z#;@@wbo6*#SYs=INC#O|V`c}bh
z=RPfz#i8O$n1U8q$IjQ`GI3~5s9j`jls4Kae#NTyfDXJ5t}}`ysiB2KW8&N6+Ne&x
zHEy^-50>Z(2R^)3M>&z;PxQOmsK6UbtM@X7fLD<AdCIDRdZsxyPLye*Cr5>vLth!e
zneLd~Vtyj}Az|U?PZn)-nlW9nQxaeyhBqxcf{2FHS+p|Gk<oa`(jRyyD#-T?8K>70
zQPyDVqLlzmG=|RXQeB`4v~G(@T<s>JOU!SKmG2SJTYQD*9DGfIVJNlK{2dWhZm)cJ
ze@hLW`d!1?p<xDYwuNWyP7%>3YM2u(ek!ODKES!4+6*G-$6aM>HPG7!ij@ni<k6bW
zud&X&=CE6zw$pf$fclM%#Bv!)p_VI@pyz7luz%Ec1uE1~dI!&2C$9;jm(nf=&kC4B
z(A1%~<Lx+f-q$;$QJ(|-=^N8Z-)RQoSA+V!s#Vb4fYybRMH@7Um4He9vt|Gtwnk3L
zN+`5d9X?yrL=$9ey>n^K6mpFC==2>G&<RK5zke;}5lvHm4DEy|c<Ov47m3QD%T>3O
zR!eu0#Ui2mlok_UXsoeb>X$}kNWVWNH!(r+VrIr0k_j9ZviiPWB#u6~cq1ZRgB{9+
zb#y)NQei>U`m$@8FuH%0x#QPCE-<O_K(&~tkY0Yk;RBrjiko4GiSpqAJ#OQ!xgY>B
zgF-RxbS%nUKhPBFf`!^%G=O^u0TFCgb3h+EDud7X+FODJi^Z>>^9GIKo1o)FuqYGy
zAJavj`Zg@gJr5KKnKpu>g{k3MpLc0;QFLUMCM+mk320hmF@i(nP$xC7e>9)IjI&}-
zu@KHz9Is5Iz|k_J&Z3Da+U=l_uH;ZG{P#D_U&PZ8{6^K(MsD@f#z^k<QTws*H7|Fg
zA<qCxG=57llx88`R|{=erLiDIX>z4b>4P@&v8jvQ{m75o)il{v9yoHs(BU0LAIQf_
zswUh2BEie&Hv^h^AVl=k&go1&5DC`RO6izKbeSVdm1=mvbDbrwVO1Btw6wSAn5`hy
z{_f<iZ#+Q$c;Sb&hc0yQdwzt+aUIzdKvO0-u+VCl{qjzm4qyu#V&ZwWk^0*C5A9Se
zWEY&DK4Go{>0@WZ$ILKL{LyWaGZ_m`+WRhEs?`RAXV3jT$LT;iv*D4`0u~&eH8Pf(
zYQy}!(mKUp23U!BKV|O63(xRf_t?H@L9wn_V)!;A=<pPpoZRJw<})AnMI6<F&9t0+
z(@<t0gdg-G6!F1Yf?lZ792p4O>6_iFEHD|KbekB!4~GtLbjT%=fu|?qm+BQZh|hxj
zRa*g=uwvDJiYG(jbKjvK7!G)|Eg>aoDG1;4`O-GKG(oDTJzXc06ApZOSz_iU1e$mJ
z?*_)~%@aE1bt&BNe2TkG<c2U5KYXYfVxS2uBie)a|M5Ug{rF9@J`qq-@Tk1GP6Gas
zdq*yhVIlIjXOJ&d44hrRV@+#GaHnx3!r(hEaLZ1!iZqFXzfUl`MH&fO&x$q6{^Enw
zM7G3tev+_xZP3%>ED1cG<pyW1@`EZjbKZFkX;932;d<VY1Zl=}6Mv-zfj+KQN#ME+
zd=YK^bH$tl^Vc&&NUlO4x}<0)cTE=RTrwTf%}CHhOj-4ME)4c_$AfKe%fT<!7d`9t
zBsk5@#B0DU3ccW-U+_{MPRBUC!ki<)2`;{B;cH^Rdh-%XWw!$SoOLwfzfS@kt|UWF
zK?&d*PT@#rRD$bsIJe@TB<Qv8eOX#A37mXc>DLUE;cC{}0sFli*1RX<C+;r|^z`$*
z%0ViiF-x)y&e4RxaW;x`whY`Z83~apQH4^k2=Q1+GW_nb=De}DH${Z3B0q)$(&V+0
z>@qSG)Mtiqgvi19r??M)IMg8URT_P!j~3h|O$k&6$U|lK2ToBLb=Y`jvfW132BSEg
znRy=t5R6mr3lky0E4oKZ3?e#kuZ%J5vb!SumOH5?F-?GTkB~`80bLM1I>!)Wrvwda
z$8&C^Y5=={T?(&~9xQX_2+?$vLE6hr`}D2`bQU@rms{&Y>iAaf39Jh2U-ibF6Cwh2
zi9fY0%m89uf0I7YqXJM9$&6<sg4hSWhPd~J@buhtpFxx=*bnGyke+M6qhHURVpl0}
zB*KH9jt2)N*=$!r76{<BsE*er8UyB2A!}PO4y=+5{X@sq!8o$_VU{ZbV?Poa!m4rL
z>hexgG+hn)Hbg(S>j6|%->C2Xh6CSzmP4a!IH-(7T#vm2@IPpIzpow#BKGvMO$w^O
z{n;Q%Nrnm=Y$MeJF*vv(t5A7PK^byF8rZUfs6bKG^(Yp`fr4_bmo1ATl;^p)ahFqJ
z$H6A_*53YO?IQ(AKjpxM824Z6Fcpq<4tDS~sDQTRwa+7EGC)F!G_hqWu+;Mn_xw=?
zlQ;K!O-v=B*-^GoV37)(PCaTzr<LHOV6#%KqbQ7btg|KlpaQY@EjIJJBJ5t@$IDkL
z2-oO%TN>U`0ULis=}n~q1SR9h`_J&fXA5NYNF){5<#oerZ^^^I@rc_KTs&~sWhiRY
zm<rndYafC=<Upr%(aeO09Rz%zZY?hXXw@w7a%;*$Bq?7!sh0@^zuvt*_6We>_v6p(
zY%)Oc4VpcEj2=Ypyu{aA1MqV{RZiLiw?183`47cigfwXyUNDS6r*rF%(jsy2?MSga
z+qQum(&{Q<QbFLd_m;d%o+xl%dNDGZzKSSM{mNZAYYbV|js~0Wg(1Ccp(5bm3Zm!M
zb;{ta5p)mt3`{Ny!iDE!=#!x(1mj_suChgeJB(hlL5BpO(xZJaS78ZRRdF0C-$#MW
z{;^Mj{d@Pne3bDK-4YV&axE_NwjpS4e{oBW=7rmZ8u*Z7OGvDVh>O7=1BeX^?3J>^
zf<&s9O{Uy3g7w>fY|hXCcD8e$8%J@&(wDcmG2<1a<)m2TXofzlMfeZFV@{y-#eRF3
z{|}KljE-w8>p|6U$18R=4){>#vsW9|kOPT`*szlx%%n&iCqH9@yNBg{wZt}%#*fxE
ztJS*jqul7rzGzms_E4krg2Wc0SAEdqqN*;89X=;ClEMOX%Fk)`7CVSOtIL~1cXdGW
zPVVIA4rVZ_VKopsfPrW(CH+h;9ay_&AGJwkhL`Qy>g(}z@TRAET`yi6w0>X(-VZWC
z*0VgT%iZ)Ksywd)4BGIrBRVJTF%#T<P@=hCn-M})2}j<<YQbXoOzN52OrYoEe)H9H
zCTQM*cMsUL;GuP;Y4|fHpi;8UZFE@RrqzazKn5AM&*U6AHp&Er-KO<w1FW#JTOg*c
zKn6GZTLVkL4AFGacb;Xj1IDs-hP6Ty%qwh-Vr!Y9A)rRe=OQP3O0K%uZl?+RV=hG$
zda^)x@aO9X0=Pl-j)G^|>|PE>kCvO`SfQ-qjnjJzESR2jpj%5N!G{hX!TWq{P){17
zPxs}8*Byc%h73sHZ0q2zCB+VvBTd)+^7x>!{8#d)2_o#%7M}cW!vRe?W-quF_`%TI
zP)8`22=Zax!%y-!Aw(?T=00aZFpwNf+wV#Q2Jfdulak!PKcCzFw_gahD`XC?OA+D7
zv;vV(%LAWQ?XFZ@7J-}B8{#s0G~lt?a+P2s7A)nIs(i>|VBXs#$Q_{p+_Q^{9`(GS
zFoQ5faZ3RIuur%OMFYl6J-E+*;{&|bZT$o6Qt*4J+jfOp14b4P)a;`ZfU!PrkwJbL
zkhgRSY+EOQK>m@(eP)8t*7CVDpDYVs>&wX}b_sB_GSP}XPY5c$`<-z2l!NS^VfQC;
z8nDwD$($`J0$*gWI^BFM4{Ki>Z!CCgz_;RG9DFZCK{>w5Mf#rtJiLwj{j*I2=Ayaz
z3SGouM*7^A%ONE=7WTsR36ThAPdqp*BPR($xF^NM)yfcdzOA(A77>=1-5*vmO2eXX
z#nugiDs&{6V0l<b5ELt5vK1i%W*sZ1O!9Ehko5uW%_4z%=Y8Xv>#|U!Tj%+iPYslD
z$iv}%nn3Olq|V%v1A6R4V96DAP)ie^F5x2sXYzSl?YHv45a%t%(L#W4epi*Px5+TU
zuvT-cLjimu6$8We_@cr*Iy%j)4JpUJQ^<3QAT4kCOgoMUY`uT5y#yT~j~<&yVpRtH
z#j335b3}O2Fgb(?)P<m-ANh!g3hcAOTD;REL5kUB{^2$~(3rY(!$d?Ct}Cju;*OFa
z&o7ip0RvDqBwFv%;h<B?=IR|=670X9b3~@v5V}-PNM?M+LA(pguP$B^M3y=ytr!_W
z;1f{<e;E(s>>k;PkBBfVhVN*vFb0iw=KRAecp!R(RQPUc0KVsEbqFtj!`%7fF{WzJ
za(I@~ZBGC_lO56e3V>Q>mz!sfsR5du$JlMB1}p=%KB_iU_<d_J;S8ujZIwhzGt1sy
zI^NVn%~Y`a{x|OP6dtY@Hug*>C<FfE^(uOG6L8mx@$c}!gQd~_vASsmc+An?VzuW@
z-zPa08u#AmXXc^gv-{*=%9#IKQH}}lxFvbKD%;~16wdS?kp}%<PbJppCcyfiOx3?U
z6_9z>c<ivd7>xL&#{GBS1f1RHbLr11gO*ncVGI?7tHU{+CBY^TXmn@$y_^z=+2?BX
zr1HXx?{PYgCMIxI9Lo4UDFF8}_dUHD4tOmm@^^8A3MKu5N-sU+;V#2!DUTZyEQHZJ
z$UUJ#&`iB?(z-0@72NfjT-imGVjE4>t*MZidAzwjQwAhtSt*&4tH}3w-^;6i06q<z
z)jb|61(Ldv`ciE3$VZmg_UQ<KQY#z#7h~ce_QXQXR^T_1TB%vMD+DllCZk~W+#X+>
z)Mex<`;kPBzqKd!`h$*T!rkw(!chIprSY`X7sTy_M~`8mF|>GK+YWCF03}q4T_XEE
za><$BMec(U6ewIX$1w5(_wT=Am##cS)UA}RDlSssWY?v8HafgeL8@1s*&l*z?O(nz
zr$zxImyP;(Wga+@ZQE4jd=m*Dl}s4&GlT|vl9-1MC*;g1IoZ!WMdI6)r=>~_AlR+5
z?Og^NILj7ru|-uPE_3O9rCa*&cL|YprLw@E!0(*{CZ7=Z=V>Ad2lT<2lJvA#iwPcI
z5IKN9(T-R*bLB=o(%a*CPT5yq2GG`0bn{mKhJ3>wFu1g-3(-kTavg(oz_rZ&!ouSR
z@&t2G(%`5rkc0!2ekNg{^$hYt>)bD7Jh}X9VYLnnp3jrJGq8i~R@Z*H+dPJ_HtkzX
zSJZ*m+*JF(?JY!9^C$m1$~a=x#A@|3RU0BK?d1qpHj$Q0o1&GvDI`FfnQ)R`8yu$o
zR2(ziK(xNIemr<=4!JnmSI2Z&3s`pJ<6WHB5sS}f!hgpvAYsrt|8mb?UR4SFFn+y;
zyoxNZ<?~xY(x1>fTl($!%S^K1g5?_0om>9<qsI!uK1nk|r!^sDKJB59_!^=TFz1Bx
zSw+5*PR6mG*MznGt7H5MYly+}vB~AQb>wrtSC!D7kNg(+IL3Hl4PiE0H?XeRL<r^?
zx?`~<@To8`Dr;Lqk~_Ycz8Bm<z6|mo^%o#Pg9AU;1OIh|wO~!-o+Snr-@E@QdqRX)
z+$-`ulnq3FDf|*kHXW49UXJ)^OayhK5A|4sO~f#R@9z#H0|@zerS5y90sPBJ3irLY
zkPsaO<(mnNU}<*Hy=9&NS`Gqz&h^_!gT1cd5}p~RKD=$R)*-+KaZT{G{VqcF+;8}7
zjs-X{hdJ3|)uH_9?8UYO3{b?^Wl!|6!G{BeV#f#6U@DfJ(HTbvf^Qm~*(N!FX0<Y3
zp|1w#4C$`@_kbR%gX<E%s&Ip8;K1GdJUnPx3@0DyVSu3Q9iij{Scu2SeQy-RLz^(G
z@GCVYs2Q5Q-kQq`${!6XmeX-?Ea27BheBph9~{1(iRFiz2ZQ<*q;L?k^;MR4A1jzC
zP5gJ^kpQ>||6GiFrwYEf$JrrV>|lIBjdkmg5X@7$jG|msp)lIAmI1>FtTC=vdelY0
ztsw^6z^e+8>&dUCWw;?yJ9;FGAO@QQdC3O{RA7GXwM&OS7GD2xzfkWY0fcELr;u_L
z;3gPP^oQ}n+pgN=tk+VYIygGQ{9?~T*yz%Z5Ap$4rmJ#$&#S71_7U(^DquKXqN93D
z02F@Tik4d4>%VUd%I}Y>z)df{%-KyrU{Rw!KI<zFJQF|O<?5+I0YNWF?}IShai{5K
zttdd`gPXYwdwy16WNB%YD++~*Q<tyZQ398;?;h%haFCel%)a(m93-co&MVlez_Mm%
zJu4m$@fGJGrd<+NZ=3%S5W<0{liHaD12u3G59U|rk%0k!YPHWK9=2MhE8-K?A@nw8
zc4nU}DAxV4wE3tGGo}(^UNRbR+kB~zIav-I>?cJ(+}k_5r>`83B0~7}<C+R1@}O#C
z7cKdk2#<OVnLM*e@aieY{bfWEPCqGJa*HQHG{$+GepnM6JO>_P@|D0dDuUKwrU~Ep
zyD_B)wct%V=k!e`6`)AhyptH!gcN~ST@n-8uxuQalj@-gv&(hasz=CRx+bcT|5O*`
z2Ci0B72)8S=3;wOCK>M46!rbRrVsC3Jf9W(!~=V{6k}`_8RCS{z{D^^@cGAnPkver
zOm`g4=N%%$gQq(Ms$oVT#^f;6{zV;}GrN_jpEM!kYo}e)WdsT?h`fAti2wt(o{Wd4
zN$~h|+6jl30Qz1{5{p0g`VlVf=+R~(cuPgZ8r`HqI$77Wc836%(7*Jm9RxVNs-||`
z&IE3-JG#$w5ul13rK0r&55s4<H@p^1K>y(4(bH}OIQ}=&`H_waRJGFSv!5}AH!F;u
zq4(4w(2H2to~Hn_w{P(aSDC_T_09)bd!Fg18eMI|BMUk*Q{@%EOrfJ3)m=D<hq58V
z7lnG_P--1J@4GjDwk@?m>sJL~#Y8dp&jRpU#PV)PjVUb36&((ysKCWH-WOcvxWNAM
znP!i0Q)s@Od2cmF30xOx#II$0|FUT+TtwLvKKhr`RaYs%v{-AS+4>5y)Ape;p~eI@
z+sEIYn3aQ*Nm2@5{`^D|+81ZVtWCfxvg?APqAbjBDOIK|w9}jzGBf<XQi0))RPWU`
zDVSVpD~ju#q?t#Y-J~3(g8!X#iG(ZS@DhEtE#SFKTRwd(^>iCRqeWSLgsli{ohwsM
z3SOrjFL)KmXb&LhDp;3sL=dn`(PEW5TeSC)=gP;QBQTM5{9V)?KIo5NZqI^UTKI>D
zi5gYLKsh`5VuS|^r6T)R#Z55i74GcmFI`5^a}}wyiQ<6LdADD`qA_Ux4RWC53I!xy
zsay8iu|Tzp*EQ{{81(07*9&6O6o_qCrxYeI0OgO5=NVHBx=>5|9&T?4yt5ZAvK28v
z&tp@))U``{oqWk_B*_4R9;Xku8g3wi8lLUHHg{;fS9G(!wCY1x$`oI2_cAj3YWw4q
zzz(hRsc}TDkUkiVKD={*Wgam};rV!pxJ@hVH%hhg)`Q5T#-QBmf03uBlD_u2Zqe9J
zH{t(P>B2s`p+>{`A*4OzWP;M8O&X8<)Z0_Sx-jzleMweiCo*AjMxmQ!lg2==plxtP
z2i$^G|H-LWA`91S1#B`lXb-uf8Po^0!T)0864%WVT4dN+-*Yw_w5rR>^Xrz{u#sr+
zclc5ZP0sC+@UrFx&HbE>j!%UaM9pTtUHtDG&3u1KN`u7)Ei-P`(?U%Pq$E#zk2?&~
zTANs?7B@F&1?81T{R_xIW6KYVZ6BfC{goh;!njH6d~D-YDMN-UxBw$fgFiHZ<HEZ4
zUT)H=`i>@XKhlJ-*5ovypb6ULmh0&08(XyAzk!U7ikdL{t)Vz3ZJK7=r$JWB-KO;g
zz~IGV5}fK7IQlYYjy5BhuxLNNL(7$|YxUA6ff1wX))~76+8sjw^$slzilMRNB|Z~D
zia(Bl(z8fYNNdo2%14J{0;odiZbbNMdH=ZP$z>Yx@Xt*Q4?Sw@9*~srR|9l?Pf3Pt
zt<W-8C!EjY8BpiVh0Rn+4e;_);FWo{N?UDePwqL*hz2h*`H@`-aIluQlKJd9O>S32
z^zauZl(n<$Tkb=3u&kjR5VYB(oldxw;eD6|B^ctJxMtPh!Sb;NJ=<*>(~D@{E*3U4
z$(_FV<6d9?+VGD(=+Z7tx+AWj;txAo_bc{@!X7v6(Lv1CC<axUNRz*@!ihe1aMCMa
z!-F$d6*XCr9?glC&lJ_;L0KE@R{KM6keunl0MQKSD@Di4)P5|QaH<s_{!bM|6>Iw$
zwi!|XZ|e95T70PB;JLFG!c<}5%v;)W7Bf1X+<Pm!gdZg}ZFx6gRly9gA9i+OMVo{#
z@cSPWM4d#Z8Jl0LK=O*@`#dT;YP0Ihyvi?({{FYrMSoHSTvFM20uFPc4$Nort1+VJ
zE4|h%Yk3uLaI|KQ&*Dapg&NabM8r{Qp0#ktsxoNa_xj*@4T}nQn<rC`Nuq;86GONW
zW%zl}Sxa<~7tPsU{oqN5G#bs7*mC^0GF<%Jo9gDkj|N`+?{A@@EGoe_6Tif$0vSfR
z#gcynP?jgf#~(kDLo=%W;<wCHAmHMu6nwT2S{F==9a2+3DQchG<esbS<$GPJM4$-D
zPFFfq)vSmLck(?f(pLq3D1J>iCx)sE<*ZjnD5C}nl&+w4RdC`JQ;<xNKs9|hO-!s*
z(d6VS7iZ>hpk#I7)NGFwYA5rpSwkL=#<VZljmoP5eT`!6K&}j$Y`)-=$D)old0TBC
z%Tb4g)pT0HZ&}oXBjRz|ECJQBB9&4+G(Za5k{WCvkIFd+`qX(7(W_n;vwu_)!O{2I
zjl^sPl<7^(`@;PsRQ}y5fx&qas2RLCG|8xh&gYGt-<8xvr<<k{qa4YQrj>Ws`@AyB
z5_Hw}Mz<!ad&t7z)`%7~(xsXD52&Eg88y{xUSw4HF+Sl%whr{VkY+gbaHykF=AG9c
z$!ODi>+bGgJ@7pok<Ju_M~fcGF>H^M(c-`p9dj2ApkOKZonVm~`Z__tD8Gq}KL3=H
zR1if06S=`9?;>@S>qr%*){Tr322UPJNHqpG%Q_B?%LLSP>)Zleo+c{2B;Gh?1u*|5
zMEDY;2AZAUyqIy9gkC+;H6m|Fg|wov{&8y!G$m?Cq}+;#dgV&lrSqFWo2n+h#7qNS
z`7ALi9jcDX1@ftyw3q<j0slwra|HBjNATsJtT=Q&w=jj<%@jh?T+3ft6Hqx<U+H%q
zN@#iNGY6A8Q^=n6@%ZYhj`}EarrvxihnoF8#q?v#6wnvi9jK}r>i6Jv=_sodO1t4*
zc7@9fK3;Vlaj(Il_tgqax|M{{?wGKn<Ey67m(e1srKpMuRC9^E8^EIFVzTTBwWe@#
z`q%U=UuD!yXwLM+b!OCZW*_cmfGKdb^1QCNr-&X<9~d0}vQE4DCX~&V!xVPZe+`jq
z<<aTh&k-|rqqMi>N&D*Vm_TA3_nO(bELtLx|Il&11;KDp&dG_JfWJ50e-A`tP_;MC
zAJ4W-Atj-*8<lsd@W9_<BeGNi4ZjiYXF9ZkeC%BRZ&Zj10y~RGHjay;VEKlXt$q`+
zWTja0WB}9}W!2%0h0xABUHPdKy9hzrOK?^Y;4@PCqw^3yYE68*yU&ph>PGKR%4#E!
zQb#)A_!x_p9sFlLDMt_PJFXTo7RF%Yth#39!HMqgi}<k`OApljU*9;NG=ibpI^mFU
z7POFoXK^Hh9xNoCIC|nKkeU;^+&9R8`akKZ4LwT_lFl*94sQ*i@Zo72Pa_Q4+Nbfv
zQJNl<brV!PCk-I$PpHPu`Z|p(=slNV6&<t?E;_`i7(j(zTT>l=nHFWsrPF9b2U$7e
z0qXwxaGtJVv3_@kcK)qRQTH$g{`+NqqqkBI{0Ap(guaZ?{2odxVy<GqtF+C5m0J&X
zQoUk+==IZ%xFvP+?eRSP!O<bR|8znB+|ijhiw2rgr5>>k-9<2jnf!yFbYN|vHOZVO
zA1SN&%A$927g=M)6H9P9aB->t`)$wXD+BnO)yTU@+t`=GxZB#m-^?jtnbn8HX*efs
z>+B+w!FGnIJwK(lNsJQ{`h}G3Z#0z-*hL2FMfjpFX~9NoIW9BwH*z4W>y-cSE|SKI
zk;TlAL0nR@uQg=?iE(jdt1!dBsbbAX-+join9KRk-e(56za?E_T805D7Y^>VaZRX?
ztfJmcm`4cD^z~EB=|Dv-?Kqs>>$#@4FWk0UL>dSmD^D-cfv8Y@@#7T|END3ooWL$4
zBgUq_C`u1+XNjWH(R(?w^eg*w+X~{el}Y#ZB?J5q009606q$E8)$bq1?M?QU!!eI@
zoOA5`d0R<oN*R@G8I`D%N=6G=4T%sHDakj5$mdBm6_QPvp|bb<`ThCa*Y&)w=X(CQ
z@7I03r<&_qUkK8nk3sJf>HZ=no|8SBTFwHtbDV+J*)+g!npekrE@Nkvy1RvDSm9WI
zlM4sXporM!RBOG8*<P{;UfjhFX75Rc(<M}><c`z|v{=VDcPF_8G;qKQZ;Ro{HFby#
zE-sclx{2-L3(Q$Q#|6JeSQ$Q9sl!;3X9b~w0j9g}ksS8$K*-a%@x!SU5PTR}r@zJs
z`yQ24<R0RKQwrtlnJZ)<h=`phSujIyKeJn&6+bLTIWHKvk%82jZP)&c1*)ppEfTK@
zz^0ZbxxGydEVgO087r_s<LdcGZ0&-ulpYE8ht+`Z&6l{K3U;_~Wi*kpM;NkOlHPt9
zAi>L99oFw7I6?WFzoo^n2>8W4Ie+B}2@+Iv|2q0|gJq5EQqmJKsJY;O^{+Asf{HtB
zx-RoVq{y6eaHIsdpD=b99aM#uH>Zg;rQ4wA(!=)(@lp^Ka{W!hTUC%Iu3sG#5r91h
z9vJ>tEd!pihGAaGs-TrU|H{l;5X9#)^yh^MU|4?Q`N4;(5NUdDcT<}XNEm;66n9Jx
zM30;E75smW@3BW#ZX%Gur=WZBqdYvj5OLpmQWYKtic}eI6N8d|-ZwY36yV2?6xL7s
zNO0nV*Bob$IC#G7E*|@&2r7-vf~b=OpU0;|pVv!5*$u0^Gj7Vj-SY5cU7{L%5gDOI
zbxVWt4U?oEF;)0?A$zmr8X3F`zq|?NlZB;g(`^x3_s`eae=B=Ifnr(x5rqN*@bq%#
zOJ$M4#fHsSP?!o!PAx;W<8ol#@;7<NPaOg}ek%02(qL)5bKfA12ud}Fubva#I&0bT
zF}u=1dnvt|J6r)gCWd?c|ImP&cJ^t|Z4FR4n{{`yQxP;KzVvS9(ZQj@&_=OK6Ly=0
zg*9j@L#N|fc!`|`&?sh?V{ElScemhc^V=$57SZ+TaHj@HCV8%^&+0&90NVufcU9Q7
z^UgnAswM<?8%3%Y>cPsS(Nr{t8psPqyYcPS1j|DOMf0%+z%&ze^(ui3AM-nHKTtHm
zO}cJH;-V4oOZwPx2vFc7lTC<Ktp-$GTUNQ_VFE=D_>g}S1?D4`#78AHprN%!GFcwr
zRvk~xdpmVtEBO8VlM)@|DJQVM%%*Uy_h{_NWOcBhCfB|nphDGZe`3{FQ?Sm+e{A?b
z9Ue~K)a2)+z)bFecPy99Kt(L{UAnb8IQCGuE_AB`S?yY&2%9-bm|u1iFQmY={fsF^
z7nOizfp^!1lje~6XOas#$zYzAxaSHh5pKln>|%Ik4o-qr)e*QF9C9AndDui2{%IP9
zx0aZL2!4_~^)w0WlJv)QtHoh&&_XNEOLHg?exBJes{$<hYQDIA6NKaOLUuY=%%PVs
zlIM6t86N$x5K5fpg3Lii)3@5@5S;NT;qWs>@D^S8k29MQHsWIsDR!Ab!u95sfKehO
zceFf@Oqj)f(4E9)PMbmBo$%_NBzai+cs4uRtqV)c#o+I%DO8GFERzi+fb_sk4`1)E
z_~b1CTVl8=P+taJym(gz#!b)Wf3NwCYkLsbT3Jn@>b3XBDo;tc{%gL@eQ6q}GI5lj
zxeZYFu7>4{ml*U0rIXzq7I4O#|5l3m0PLj};<HkOf$X+`7;TqvdoQ2zd<q5+yKcQ8
zvI+ucF`dmtZ54muTOh+>X#%PE8kV|i8~oQ>k+MKo!-YJ>y$#%r;dlk>o&$?q;Lcng
z{`2G-&b;;^Ix5--f+D6KsPeLdZJy`xY0Wj9DD<Fa?1LdZxSt)Xf0G%Gohw^1ezuC|
zM84?|nK6L#kwu#)of#nQse?gV&kA18Ygds^Gk~ivX9;yOtJvkc!nbl}mvQFms{GyO
z^+7(|&bdu`0VBUk-EduB!Y}=~6ckdS2PUrL=K6Wl*bkp3%iWwyxDjcQ^M|k=Jm|E-
zGq3%@O02f2u@D#W)N{kM1wUQTQGNfrGj0fL&iA@xY`cI**h+4{QLh7fHGlF}I(x8F
z3_YfMGUjnH$(%uLiVie;htx5xH)Cr@6fNKK&Ex*GoucTTHuTLY-n9A;VQ1JztZzM;
z!#Re=IYt?@fuWpX<xS5id_~!JU$^5NZoF326&#=i<~~2a`y(9h)q4DU!*EMay>iuJ
zL=#qG>u}ZTFSw3oa9^$E9ImCB&@At)2_vf^rDyei;1i$s8dnF;;jg-Lnx?unpxAmB
zEc12aC&H(rJbujKoKsgP;*M&7q5jl`L#Ds*9S3rk#E;J7?OwlQhkwzb&7RpmvTXpD
zms?*B;9bC@Itb6Yyy@WNu$fVEa2U_y%fF{PzJL?<+zfP@qk)--#r^{H8^@k3-wK{x
z#Qk31@;MSg117!h`s1W={PyK6t4E||oZ~W=;wKRr44owT@+berQHR`hkAxLm<pY^X
z<_Hxck_WN7B9l1T1c?Zc*6@MA<(z=q>LAzk@(HPR3O_eln6`Uy9ru_cU%pg9fl1F6
zuFvEd+`ZN>%3^I3ANMOK88A^mCmNGWc{q!U85>$VZf8VoX}1>2c9KE8u=?%?sd;?G
zTa7#LI1{S76-<zPu$6;D5)C>Z7VzJHBlG$YGtv{<mV0iT1UJ>|pF!{v{$ZiP{=`mJ
zWXf89k!c4BYD*ek&>dHBxBcRD{v|f#Gax$4@<J6%*}vpJbYH`R)6F@ZzjGk%m2#0b
zAyshyC&j!YbptnQxsfE%$A!KJV@AJksDS$S_yDyC1|;-)qS;597rkF6-m7L(0cI`_
z0-===sXu6*?Md8*tRHSWt#C^jBt4Uj{+ctRO8!L?GEo4f+8&DS6jO%LdjjqGKUmPg
z3Na#onjkW>u(&hvpAuBGZis)5VMC<*=kkY)gpnSaj(zH=1e_-;<%|6|kh=|M+5;w0
zG+*)XKq$Wwn3_g!bGpcdM)Ru~Ni$+7efmbl{x(JUjXeDF-}9h1ePy&<K1q~9I=Fqu
zYem>guh1V?*@pIg{`FbVNgA;Yy^URXqzImS0-tJ*^CPLw<z#BtcJxY3hbJ&y5%P)%
z293uB(Np@1JiQtMnx7G8KY}a5#H@$+`8gqU5dT%xX(W%n|MzOKV?z;SM+>SB=ZPSd
zN$?N;N<=*q$GkgTmB4bIr`t1H3^`MEB&I_Y(dyJ4tBENkI2@ibb0}T{-9E^gX=b5}
zp3D$-d*v&G!-ohN$B$B|`s@c`3q@6wu{txd<CzMaZxyX(5!#MMY4!s)Qff#^rm#h|
zOBEVzCbdI$63}s>S-xfh1^L99UKZKnqI}SqsCy)b!jeQ5<|$NkG-uUTL5>0i!%ud$
zZpb6gnPzL@R2q^v(yGE{PK9=lQ5J@?3P^AufN$U-9St6R-K5x01Np~ONmr&65nKO~
z+hn8$dgG;1TzWtQY+{P}Mb9atk&ir6<inb%_rbf$KeL*^r@i|h^Rfz3z0*^t#;Api
z{a%+#R%?Uy{BQ04KoSaiTyQ$|q81YTexnHgtP5P&k?lp@YUoI;gZ%clT1Zx;=XBGM
zJ{a#8N;XuaAkNh<dz>@1kYrrsF<%)Yz`rPk?66Qrb6H6@E}Lkf3Xjmav12AsZBZ>0
zMy8^ywGjWna7|=m`j3dL0VvULJa)EFk<aagA+J*!i1N`m=;I+%*wMQCMw<u?wfV1T
zoZ_G(%yH;tq@@`Ii6=A`iPO-DjmF(-CF;l|rmO#zpgD*wSsOI}q@n?iGiT(NNJt<o
zlDoCg9FATKC=k@8qKV@_90`j`sBxHX=&Ni2Z_JoBZW^kiJH|4bG6V96|05w+`lJQ0
zZs)czoF^lNL~4RYwG1jQ)T=EHv4BmL%45{iYRFjB@1>2AD9YW%;q%VT0>sX$WV^jr
zMNyHW%gUvEXoH2+;kq?{OiFZTMTasH{J9c#DTN8?_~$RNel-W_uB*ASLyG9sz3u14
zE==JU_mEC9JDbD$^@a$qVIpEEH&z_X&%rLgDZ8lOZw8HaO_pq<a_BF^!2}Kaf0$16
z@!0#0W^kU`NR<C0i_D4zNW9U@n2TlX&4F)Qoa4K}vP(@G**Jz)rt~ua-v;@9rG+W{
z8WN@srii1m`loEleav7_OgsI(6u>J@>HH@P5p*@?!auDERv6>5Ypv7)IC`LJBb_9O
za(k`HcbKxngmCRmJ%0?6JT2c^r1PQpf~5FHMvg6htoALqU;_3_X)Le2IFU_9g2(kk
z98lsGcTMk(F`U}nf*pRzg06(=KD}hm0Tha`*~2^|AkDchm%B3{VtvYIM`aG+3yrZm
z*kK4C%vmmbN-X2EtcRM|+SuXYi^-oAJci&$G>ZDBJ%jfZK&sX`c9`$etk&CQ0Qs3$
z`YI(x@zNNT+k%4Zz_UqkWR2Gc&wScFK6)3<-=X`r|2-S<Hm?+2@706gm7gjsk{@v8
zPZ1Zxec2!-M7~H_Ll2^u_>LY?uEuIgo;>=i%?86Z{=a?i=mMqqcem0&7bYn@m;OkS
z4gR~D^=^1V2gsK9_OaX@!g4btyZWWsV8N?3%;2yNoOm|Msm1pPn|R_!Gsf89#90$f
z!e?z5<nn5c4xPd#Dg_s#BG^EZKzQz?y`_iwg|ovf_KPE|0{g=T44IcG_$w`#N!vS6
z+B%QD8t86|yTA@=F7vxoRkdJ6VqIxu=MrX^>i#@ll>>-Xn)wmAno#_)uwwZ63RZPa
zHPe=f6MhL#M^(@?!SiQk@4=-t?8bi`r&pP{pfAB&bEs4U7FFGiMR#ms#!RQZ8_C>2
z)5(&U-mL-t{(>#g$N*hc%Od(=JRn+UEVQ<j<B@7tXWy<ef@{T1gFlRX;9PrRRz8Fd
zjsK8<q&72Tomefed$SFKYytw~B<V0Jb*6DMgatY@eEZgG_#y1IpkFXfgIx;~JuTl^
z!Dl@A&|H%M1ow!XAo|eYmLU(<AB-Iiu@99#niGV$?Kw^(k~BDY@?%TFXATg&*h+TR
z5{8)+w?l`XQX%Z$<b4iTE;tt4U|O9Z0vp#P>pBTkkQ?lqj@ixwWq-@=x$%jCvg^Uu
zw_mA)oy=Pnr!`*S`y*iU?WH*M&~IL-*{KfvxmNOd8{0se;~ncm-z}b{a0P2EQXpfa
z)9|RU0E8NywW95l2J3rl2Z~B4pv)D#(qbYAzv}J>wjJ3H3on<$BN8c)94l{ceoY8?
zzs>R*niJqfwA(vEBn3iT=e^{*gh4l0rUd!Rfeg)9ARvJPdGz#2v_}*|&s?uL@lqb>
z5BGn5_mKjjy5C+{_J~29RxUkul?cywygU)lqYm2TFPCC(NPvrjGg3aL2$D@<!JA>~
z5bgcZZTlW6sBurJ+4ofm%q2&*ACjknBqiN$i7Ep}2U^~n*r>on&!e|8GgL@58>qRe
zE(@Ntrvn08{cLR3(vBsB1`OLWS2D8*aNXpccJeVbsB{-~KP*89DVEl;=~6jx78{_e
z43pu;a@=!b8y#F7%Gr<i$pZ`P)21^n>YyVzCPjU#0j~GG>pVCVz%Fk|FQ9fSxBBhh
zJ}c0KagL|NG95+W8852BZqnfAS-aOA&00{s5b{miLkYq%9Cm;Z9r~@RRwe~?pys=t
zJc?BY_j;~jQWzb4G73u`oz;a)-Y<`M=BYrrkGE%a9UYSP(~4^T>cN@*p@TjjRN+JO
z?+uj^I;`kbGY5tkz>yGtsdKMMAp2Vc_BGMLY<r^cLs26*Bh}>FAEpMUKJCn`jGzM-
zSCH?KLSqPy>2Q&ykioQT@uT$y4gT_ShC5ngTRxM@M1Dbr#R0b8$AAWY`rj8z-2oB|
zRzn1*$PoT|qf$0S9k>@?=j;$R1wYxUMelVou;?3_uGy2})7kl;(mYcbQx5%D{FMxm
z>=Q5M8&zQ?v|BukYzFCl9{VfY$RJ_GIsPB7GVpf2IO=%E3`P`RgeI1&K`GasohzCO
z;9Q_e$ogsqCLX+d-3Lh^C87B{*<KF#9FuP!n=%9c5&4I<9jahE`ru-(f(+yf$9Zg<
zGlL=ShO2*`sz6(O^ogu7F;LydGZ5Tk26m$rl#Bz)u>VhXK2=5t(zrBdHS^3MgxjaV
z;<qB0F^m}0Jm-Z~Guo{^K4uUnf8Q_Wlmh6*Hym@Nu)z$aB>cCS8Td&R)Mre}L-g0E
zP>E-o*!EY#iT_GWVZCf4qBTGcqWv--)JV=_r@k<U^xK-kWbz}Cp#@neDEy}pP8q{q
z6^>ph9|af-D=D@nZoT_xcNi_L9V2kESx;R8=y-p-ZR(69Fi3?hoPCyy?G5{DZ_fi@
za((vZ*I_Z3eKSy-(p-(VcUv%*7-6uTznXjex(E!OI&KajKXB8$TdH$zCgAbXZ9dgj
z2zt&OIB8JWjaS!SKUElK3~~!Z$&P&jus)KOd9$exztkdPUXP66K&)o;w>du8(Gld7
zckU<Nt#E+#`Jy2lPk&1Adddy?U-mO!p!eZMG4ZQ`T88lG+ZT_?Tn@PYnvuWnQa9dp
z=Gs|}3kHy0p#S6_GaJ<QCSR?3+m5gM)`VB!`mkiBz_c@$88W1dTou&5<8<kPU30wp
zka@YbG3p^B#Be1rzBOsY-~8&n66c}^%kQfSvBXV`&8s?X_Sz@>;8}lZhYz|ia9n0~
z)^E$_$IjV~-+h6XG%O2>iR;4aGmdY3-!Ef1XAB;z-^jvZA5GXLUeW<0f{m8D`y%$M
zak8g?im)G?JLZ%6wIQY}emD5fV_)-LrW>AVz_!;!gfH7@gM{*|!1mf%ER6W)-8Gx<
z7~^z5_nk5=n8f5x4EoJrYA)Jy&aEBT$umXWWSSN{$jx6eJ2Z_snlznwdaw@@kK&Uq
z%GQJu8#9x#3sab2TEolmk$y}{8VlqlYC^Ext^rEcBz9xvSyaihA*@s2^mE}%4TwF~
zbgZ~!0vm~8(QNkpjU9rM)`bchpn7k=X9{ToBcO}d98JbC7tP$zwp=>MyNv8Ap7@6~
zmcCZMLi~q$L>z4L(xL-?&`#BWVFJr4>^m^cKZQa0McyNyXy9O&r5o-zf$jP%@$pc`
zG?u8>zW4qC8nmS_N{g&aV9J!k8gI;Ju^STmHr48>;K`=nd%I^6D?4xWn0a#!yLw?_
z^YNlOe6VNoGQKv28Sor_5Y@JTS<MW;4Ny~u#btJ<GL30WkW6^~>FW}v?6oYO=CPF{
ziNbUSwi#@@sLEmgzblx84`UbMIT;qp-rAR}%wW2cvlW?I>)6Hok{z3W)j+B-DUn@p
z4vQ;D@M(Uvi9MOsziDNl273Kh&Ij+A$5?y0*E}hVu-~gpSTL3Z&+J}P*z*^#ofWmi
zr!tu!IrVKs#HcEW`&!$|=r3UrnWsbg^;kf@t~>9mwJOwN(Zly9mN5hMezN-<E5r#*
z?$P~E1;#5E)k<4dF|Hz};*kz^V6mE)6OmT|$-UzKhsM@1<8R_ma>hA9FuCScd$KaP
zq-~SiFU0_X6#E`ybslJKF?!1-sSHj=BE)=WM!0*@UpX;{4_vuj?mJ~EL3^c<`^ics
zNG;CRIG4{4mP}3A={iclN<4er!-fUMbp@jW)C7Te#=Nk*b*sn8&+9a;u!4Hq*+be5
zLg09;v(6?|5ejKHx~0FfLr#I8O!pQK+@80LJgch+%2wzVOD88(CH&M$3KxTGMLK^Z
zHx-~V;ZjZnKM&OZbY05HkbplK6YHlt6u@I{{cy__K5%M$FJ?I@1vi>MjIdQJz<sW@
z<h(?Fh^9NNoe$U!noA2gQ}qh4E)ppAgH;f`oze_f?-5{Fv#PscTmcMzpI6O&Bm}oE
zue)F1m52T@>C84&ML3)CFWJXd1ZauvrJb2XXb+K!*o;vGmk66os)iW&PUqaF+9^VA
z-1x?fgc4+kZ6ErgCjqNLOlq%)%COsry+FQQ2^@QV9ewF71y!qLi(@>hkTmio_)~*2
z9N<PFw<}~|I{BeM6So?Ke7+U-dQ%15%bxWRhy(~&HROCDO@Zd~xq4P1B(U`g@7BL4
z2RT=jX6U+9SY(n;6tyA)^~}U0!2x;Lzcv^dm_q|8tB#4ozUt6z6-8BZQUC#kKT901
z=}<WORX6Pd4eHJl1#5pPg8B=S6O~ySuq)Bef#EM5NU82uO8u1qn{97D5~>Ne`ezL~
z?rOq<Ik`t~RRxT!Yjvizv|v8zp5u_eHq5U@@_)QW0_Ue*1@DTqp!Z&)_`o?`V8c^$
z#OKt&I9_t^-4!ihuytb{%hCr^POFzMtSP{l^W4^VS_^oNQ(iFrHH7&CkK~$y)FH;h
zxjHgY3-+1@AEua?Kz`$9*%NOn+@u?4OLb^Mc!##?C3ApdyYMa_9vakq>Q1crqydhQ
zo9AF}3c;__x=tF?AnoGOy&iU3{&GLTr}Us1)Em7%?P5*?!+e^Ap9vL&#osJFRxt+>
zv+WlhX&MaHy5|VHs==ykot$WkIb6+Tpf|-)p_9*Hlh0HcBx+SDv|SePj-idJouCe9
zf=XSpIf<a`2z%Y*EWp2Y53$370znZ>ljoXbAm*xV=glk&Am#}A%f45GcXerMzga~g
z!9Q@>GTH)oF&{$0j4D(vN1aUS<^}Qtk$@e0Ea1My-t2r16{v7n@;K$h2nl()Dmv5V
z&|B!^098P$zck9G1c^&GQg3}2$5>C6b@yL2hsWvp+;3Ni5F8mvcC~57AI10fM68<u
zNpmA?W>OA7#AaJ$^bD@McP{Z@pc&Za7uwSLWno7IqsWi+bv&iUy~AeM6r{Dk;jEm}
zK>qCO6ST^NdP0{ib&r_Bo5W|5Vs7H_VN~;i>?SMfPt52pX#l7!{#Wd>C=8~tXX~Q*
zIS{j~;G<Xz07>2*r(V<xz&<Z-4R;q#gokE1`CP{!-tOEYb2%@JmBn3cmEl5~Y4kR$
zJ0{>$pFWW9%>m&J-y~;zxlnJ*kHNtVW4PpcUF2s1Gwil{AXmMm=l=LOJdGQ{^K(~9
z4tQ-~J5IlHE!O2ipfv5<J7x%@tj+uTV-~Q5s-D~AVNSFdG1WLBV+g6lI9XP<NsOH~
zvrNCviDH=B*W8>8;KMM%SpL)i7BbWOOGA+prHy5{UVEYs;RL~L0r`zs7RroG`o@8x
zgPWuuOzMHKw&xWF-6DKo7wNNo3<ok`RxRSP)Pu`=gBXtVwc~d_cBzNDaG*Sb(l7fb
zx=_lav38Gt2v-T->mP5+flBT_w&Z8gg_aNjj%vR@xS!~a)^QIGM0lR()9R-KCh2*@
z*#gt}l!DS<ffNpe;=|aSy0zhtwfnmUl{vhFP!alXjsq<wRapD%(}vt(@pV7WMf}oA
z3S~Wr6LC9^TC~?{!DY1BOF+vwqpP-RxHK11iQ`F#w9*2%VWTe*_G>s-Kzd=uUoOO#
zRb=DRpb6*ZYdrS$Zs0@i0;!iqxRE0}N09d+O~^Hga?p9jfbP|X)tYnjqJZqL_cI1G
zfWYB-BzlYyU6l~6J8+Z_4YoTCNuAe#E2Wmfb0lU|W@F2s+`SFSete(4#HRrse0N>0
z2C<+$MzB;?$&ZX=_}g9nzo*K+e|fWx6|GJE3QjE)KnCJ{q45XkAQ1TdqCAxyb-G7t
zTb2u=<%4*C<0=h;Zx-a8&gMW4tqUbX144-T<;%loUeSPwIh@^2hYP)R`E7+0MNshR
z^5ehVXi)X9#hLt*8wn-dT~iGgMFBCdSPSK8z~7+Pj6LH;Z=X?}!Z*dx>h~;Ce+w0o
z&TyfI=xxX{BD+Zbu>=agwNw0A02OM(I`}v1`H^k)^R9zOrI2%#UaS+53in3pjV}%g
zAe}2egtbg$&?}k0Hz&u`;r(dHN-Mt*N^FR3%QlxqJSp3<?$@ZpG3RGap@)RgBGZS#
zr1u0QM@{T&E?0-m_c}eb`66g2VoAxZR}OVDM=@V+QHR+fw}lR(7<wC9Z`v+GL}MIh
zK7L}Q!eP<);l~ByDEhmAhm5lVdQi$Fpm>xDgR?a(#SW6_&HTRB$|6P7mLYrjTqhO2
z2!-!HAuWx%%IyA2l~G1|GPEzhw))UYr(nGGvJ4_=<#0sZQ9;knGB~Gi{pXi-pU}&b
zvPgmDO{)_#2`OIbYY@<&!&i16`=kv5vUhDHXIxZ6ynGJl^}o}hG&F0mew#d6w0%Jf
z9V4T-;K}cu2^w$@tcH)O648yu-6t}4sUyw7(>r#Z)`a)-$u3zt6_AkAtADh+RCMUo
z`Cel`EjTE(IH~EQi2h@Lmp1Q2LyX02&%$qM1OK*|8*R6hP)Ec)J-s#>`j&3!SXQ9}
zQ#CY}h)iX~(m2}MO{b%yx94T$#PvWtqL$|WS_SFsZ*X(*rlXVCflsE9`asLYj}fy~
z(appkF_nRIWLMG<HO62FPaM9zt+-A?^;1vU*!Iy;irZ4X{0$@c9{>OV|Njivhdb4O
z6bEp7XYajT_g>fD<9n_ZWsfLHA(T~GT1bjYArd7d6tWvi`F=#oNXQ;3vXY;fJ%0TI
z=XuUK&vVZEB}JW6Ff}8gEB6-`>Xy}z(63|H0@+N!Jg{=Oy_bZzMo((JJEn%#2F}h)
zU&TOI*G$<O$jHA|TH=zEDq<Tq_?r+0aLrDjJMA<X1@3xiQyQj%1T&7cH}F!yFXY!D
z?JzRRxPzBPP)X=)Eq|K(BPzVTv(j)}my9q~2fBea0xHkgPW9q6g=s-yt~>Q4bXxB|
z_fKs_L}}FSH}o+DC;l!|25}Pl+D?}*A1jCK8QD?I15+^M%yE-2C8C<NNR8osX%rEs
zB%t!r6k;zYRDUv3MhkUo&bM!hqcPFY6p<IE(0%>`tr8yrwMg1}-6#=40}U+I(*Nqz
zO+WAw`=W?iyUT4o4f#;mvDeh(<EBuBIT1gHDIgu<!XkGJC(5i-2$oPbg|#_{SOpGw
z)JMLVc`KC}v4l^P&-GD(Q<gZ9mo1BK6PWJkm(!y6bg#$cBdL&1kgQ(RkwK$_obPS!
zui@$We{^glsNnE5lqa!33LRnMaa<~x$6a=lH8WlTn6oNVOSi-k5pUtE9T>-pHy`}9
zum!mPD|b8Zq$uJ#A@Yq>*N;mF9eYUEfPwMuM%PI;VYEa&|BGR{5znPz->tD=0-@uQ
z<D@SF$R&h3jv@Cs9uuCFxgu=>XRrMgfBcpYP0GC3D-iS;8>`OePIoqjm!`j8t9A0A
zB>jcno}Nm~K2e)?@}?0?o_N$&CBltLV!s}H9rO~Dta4E}^vMwVpyYf!|1MN{u@p~U
zD8UkFS2=W84ME8cJxjD=LuInBd_G0p#&-4@S4TJ)fVcNc`%BHtNR2(H?kZ0K9{okQ
zjQB_&AoWn|n>0qW>7nhRz=CjEPJ3ptSv}xgP&(*UM2`*{*nhOAZN_h{)*e-|)PwYy
zieT?;S|s|*ebgZ68@>@C79f|S3sW<(Iw+n78FxuIhvxU;qS=?!N9c4RCYunX|707#
z{$jWt<M@HcoVuN<7oY?4)Ygc~#7+E6<-psn{iC>C+Og}~?b_h=@m;B1-#Q-n)9T)z
z*W)-z&+PygXhVW*psU20H9RGsfn8hSH=fn(a(GXL7EITFcbh-BiYJ=w-<Op$gHOji
zue?jpf;&yY$ou9B9-CDC=6w1bJ`+-+{53}t630e$+E<qG`M>trCcz8%EB95(Z)r`K
zRElgllD&+xaTY5cwO_(zHQyAr=V-tO){A=Uk;{0Xl<!?bvt>MPck<j>f(E!MterAQ
zUd9u?u<XRxtl}MqavNI9)!}p>=jk&&%lN&U`%VRguH$b@4qt6IQHL;bEUjSA3htvD
z`R!8KCLSKOV{!4T8qn-WQ_oMY;9hq=jA!ug;77~<?rrf=g9)=2V{&g+@whT^&)7B^
z^l`zr<?f0qJSrlLMOLois*N{>s#NIEVCiSsHHs>5EVmi|?O(@r(?rjW=F+3H?`n=u
z2UFnH=LYP&+9tlTJIdWqpAqr!#md}&p#rHYvD8~Hw{Y?K^;e|-n2`78!4iFX6?i9+
zVXG0egQpCNIUo4Mg6uUV_~Z_dLC5ZK@8u#I6nQ_hweT|=da@xT_vQ@=?o?07Tz*H3
zuGh{Vqb_qG+0<H>i?Srxq9+QD{-#3_6VcCNT)5D<M1}?PJtADqw?AH^$ACC~$~@v+
z;zm&yR#+u@iSU)q#QyLzM%4Bwvt;c6FM9nT(Wmf%GH{2V822z@M)Mc%x~Kf)Lr>RP
z)<3B#gUY1oQp^eqx)!Z=|N2b<^eVBSxVeJ>ja$m@GlOi1crw5Fy1Nj%awJmF_8I|h
zQb)^v%yOXA(#<>@I}!AK>7ll|H35#qN(KyRa-mN{d0`PDV(3GPhxIFI0z}L|5VYv#
zM(lrBH1AhSAZ%z)N)#sn4wmh9`9|SIo+^ILKgFccg?sNSp9&CwL}^^QkjIArT)*rO
zlR;#~J$-fh1ZeA+KFn<-fT|v>Dwh6~MG3O&?Q0PP`1#Ui#d1jy8STzW=szZpQqqHT
z8GaKWV0Xp0)UU!Q^X^|!SvEyf<&_qw8>I~FDPtR=UqzAQ{qtMjkrJX`5a++Vn+W#}
zjPv~##nJYW+-G{Xlu<Ihe5I)+3DWHkUv@B(LSYgDhTXm-6xV0o>Uxz7p^B54`#YtP
z6pq1--6}|Ld1ou1kpkZmJ63qaWD%ciO6dww6+NtzzW?W&DttO~_nrL-Idr3aEkP+-
z4GoS8{pDO&gUMIuok+VpI%p@qi^WGBX*_w&dPG|T91JcLx#%k*LNRfYPE7;RH43h>
zJko@B{iAGIPn3||+Mnp!VGZ=y^XSP7YT6Jjo`4&$DkHaHdzT%5O=M$rh<^Ex4qW!#
zfL-21^dkMc9bb(mO7Ww!Xa1rGlA-ESD3^rjgKl}e>Cr@-3uST&pAF#kMCV<$Ph`}2
zg!6#Fb4}D{A`*GG!w7EKp3_mTQ9*X+!bW<vG|?@wkGHahOu%{J+_~sT3cC0>R?;U_
z1MS)?>!}t5aF`>-Fql>q?V}Y^%=J`9u07+*q3%@BPz`lvG*U%r=N|dpWKu)0Oyk&2
zG=<G0CWq#gRgnWrQF6vK8CBe=OL{$E3NLyyd)Gfxkjyv#G>NmysP2^T3BRLeAjA>6
z&r_6w$RUx9m2C>BF*(!WUcDJ)^eH*NmsLT$Ps12%rDf5BEWc;ZR?Q%$@b*l@6bV(o
z$s#=Cl|UiajXvC=H;2sf_^z1qM8sCnyT{W(5PdD!!)-HV1|h!mYPW_6DDG^=T!|7l
z+Vbx+aw#=~uj%Yjg0f1;nd3t7=|D!5u!|V`&BF}pFMoVu=&XQhFH)uKWmfT1HL(Pi
zzovl9F4r4hl0$9cguEBDKXFQE$}bdU3gU*hNBE!0pmDwR?PR<SJHz$enU%p5B;^i<
z+f+%RbNSyIHhlhIPcP7n&|am2%~spEqq#Vu5MI29=>CiKIG_E|PeTQNt~e==O=0vf
zrkS*QdIR(KdKEtr2|z4W|8Q|a06oaLar&I^4)$@&Gq{Epz}JjJN{EdQm8aKn9^asW
z)V@0Mdrl0325q|c_;DlZHl(k-rG?Hr+mg>@O`yd1<lR@R>?rSxGn)<%9at1Iag|}l
zVA$%Zt@STANU>VsRU&k7f;>~*ebfl_s0JZ1+4Ly&8;SPjG%dtW=0507F@*Zlu{ZDV
z&>(T!=;g$8T42s^2&1+bz?><U{NegFT&lUakyDcvlF3Oc_t*^}#?gx6D6oVpWb2b;
z>uDe$zT3#oNgwvGGv2Ib{|`SNXxU@Aj|S4_D;p=X^x#O_70X8UF<eP3tvvPT4)&j-
zc+<?HF3h%YZyXTp$33!kJwC0mgGtp^rOeyv!u_lG;7IW&+@qm#IOyp%HkB?PcCT0m
zveWiDxO2v1Z^Q$a?pkhR=N(g>V|jI;bs~96DgHCou(s!-9sf3VrDkq1>XJ4XE(P2>
z7vGKfN=096=G(?T{LXo0IjsdLR{JYFMuxG_n2gVEySK3bE&mJohqS;np?KO){}<LS
z(!pL<wvAbKY($;y)`UmyWs1cblh|w9q)8LU9W2W{AtJ>|6NHx|tQ2Rbv1n~4LxKPe
zc%9Jd|J9)ZC#L^Cy&O4<eV?sl%FLtz_fs>nPHq|?^O-t){ro((uF}1$&Vm+lx(na5
z46B1eZ$mvJc@cZz-Cuv1oepGn)JpdRsY7Xak8$7762?n<u{b(M2jPQhou4+<;DK8P
zlis~$Oef5&%4~%m4y-=ivPe>cUzVLx%<ijL#Jw9sL}^Co>@hy`MOh6J=W1>LBduf6
zJ9@oA!Ax+x4(%C;SA}Z@iG_iJo0u%GPnOb8X3%D6oxa#gf%|R;DdXbX*w_Lw;?reT
zXu+~t-V0Me@U8bvFIgIpQ`i2%YRL{a-7DLd169C2f0Vx5nifvnpWNIw+66Cyg?8Qh
zOoopW#jDD(bdc#KDbMD|1(SdM3uRTwaAhJ|K6{8B!ppbhPK<Da7M(-#o@^4-&Rwym
zb6|v7%^Kkk6kd3(P%<(kP6Aqo5k}9SOz_yer%CDoAGoCT8ujN9;dJH(-S-q0U@)fa
zG%E@~-t#J%lSV{X_i|tB3TA_g``7rSdIVvwT$B~}h%&^djG9%2a==_xJKM!#VJKl+
zWeZGGhA?OU3873*X!m&EW$;`STn%%&VvZ=oponXNLj*S@sVClf*d-3NInw9eVai~k
zziANri3gs-<k};W6l`)9(e!F7L!w}WWIUM<x{-n2Y>zZd^-LCX?^XsakEj4jDL-&f
z2d<T=%fjE5bITIvl)>`9l}#x}L9qK;IHB}J4th?8gqt)eL)=)@vtd4A*iTyC+euP@
zbnkuNj4X)o#a^H~V^suJr$nv<H7No<Fwqn|Lxi=8s&QT#aZn6sc=zNI0TQGR$>x40
zfvTm7hbK`I_LXbskC_nR$KzLz1%}9Q|G9+DVMA#cR1%(H;UI%TMc{jqIt7BFNP{m<
z%0T{ay8^}`6)0IteWKs23dOQ4^U1GdLG0lu=d)+3a5RptJg!#_wyUS@?=Z{5wZ+=0
z=jCcZ5#Wk?v#1W<v|7@-M-<>Crce|UsSb-IR=hw@6G~#!y=ZVnD4RVxne*?D(!`&A
z6ZupN!tC}gN{bQTZ-zq5w<Zm+`9PpcHqim$^K}nzg(w5Q{ZVkQwkGIF9>21%rVD4=
zopg4}h)~6~#BLU-2{K=o?YBGhA*kwiqFx^f{3-QGEk2s?cG*6af(&6S@hXkYzrM96
zz16-5X+o)mpPt-HWAJw;9U)YzfMbu*2bQZEz^Lk}#s36@2OL2Z6GsZDexJ4H%u@#s
z+sm{)?*NAHO->k<QsDDrzvQkfYH+cL%uPt4f-`^6L|X#|9BWeCYs@Hcd^nE#qrE9S
zTXaO0DHO;U=hQtfM*=UZ_BFdHQ@HDNDsfGa0tw$fpJe%<1m4B(*bf~v1Diz3k#I*9
z=)3*2uaqhe?2Mu-6ZvMaLe{N2U`+<2u9c?9dTAJ&Eljs*G=pz}Vsgz)B+z$YWVqcS
z3JDi9zKS%MLCz!DmA+(U;HVcSoxaNtYC(lp?>sgGx<7wnUu-Brw!q$-H~M!0UA0E-
z=3z6)O{AI*SStb@&FK^51$ub*FujhzW(LHlPYWS8<iWYfPcdPA8I#f|t$m+k3Y}d#
zrn&X9ke9Kr6gv15i&@ZNnou=`+b3^N`!L8r+(#k$vmSN$Z-tgiJg=y*=xI(?$(96X
zyl%Hw{y*=yCbqQeQK9^Jwhq}t4D^ngmHsENfO}e>y*K_ApjwYIb=FiEe&N5azhzj#
z52Rfbvo!&@tXOYOb5H;@)`Dx9|GDFd;dL!M4ujXj3VE(Yys%c(Ff*RHi8C8Xv(7v;
zfz9ZFW3(FFu+zp?*w?*<-?lag;eKrl6Kqa1{ln~_>N|2~*kK!=(wnB<=r;o0@6q`Y
zpO}H^K+CrSCfj(@YS4Q(CL@^6rFr8b$N=vO_S!~$-oh(vsxM;(hOqjw=vPn!4KT3#
zbMy0T;Q<E)eSe-YfQWj+{prUW*ctg3b~c)u__5K3_AgcXAb6mcQQvbJJ6*$2`p$d<
zcXQh{m`JA&WVp0iS~`!#-0`W^-?xr$@77v=<D>_u5}a@GPh<3%MI(i$*Kq!oxP3pK
z>4Hk`VpZC^QA~NJZ|7sdDsC8bS~QPA7Y>Z^6``~J*iYW@-pb7tT&1vluJWi3?A|S*
zwb}axvvK}n^(brw7qO}u_|UBV&rRQ7>E={mzOBVta$GAoVPD*-Bpq$=)7Q1L-Bp2$
zNiC|?buQz1^KE}7^0a_ie&a~W)keJ0XrDgm<1)VcaSd;(h!%wC_!}(hcj76%8Sf*0
zF5{i@g7#rany|y0o}IuofYV5dY9tW<?NLyq&3%_9_}>$c$}azbpFSih%l3E$@1Cvr
zM!c;7*Zo6s{R>9%+ETZKOp8_gg<iO5E4Kz*inTiW_R=`MrK+GMCbEXN32Q}@)6~JJ
z<5Gp7-V~nso5&t3zK$m_hBRo(sY4GJtu6h;G>-d)+iE**;Hy3xzFq(B(>XV~)4D1D
z;g*hbzq_h7@v7_FxlHD2pmW8d^GEI+9xHxo-&NObeD{_1h%1$<;Oy3%n#!_(=hsol
z6Z|yjj}NaC-8cmvG`(f{c774}7a1_{6{kg?J05N)OHm-6lcsCe))IcPQ}8*H86CP7
zK+v){tOAu<cBm|M8Bd*`Lt{7T(QhH&c(rF_pf}L*P};kSFNNtD`Ykh{UDx6~B34K+
zRd{H5Msgi*$r@8NiDN=*dT~>Jb|g6JC_a=WxQV+pS;mH&vHWx1gq(IU5$<`3bus8}
z<428B8Nx|y=$&ltfHgl6VxMyTxnoL$#zX~E*339iwD!+DsTgHQGdDjce3cgQn%YJP
zBypmca{u%8TLj?ef3ZC^Oowu)*u|_{+{on=hhl0J0rJZwq&GYmP*YR=lk6EDboKs)
zkNy9gXf|C$dwTs}&fX)}E`E{^6~!!D=oBcyZ$&%$vKnS&qq8N|AS{4(|GG)pbWnor
zzMg)Q=d8%ktUCGFgdi&F#a`DlE5UqSO8jU8JE~Xr)fyQVMvUzt7U5qNL3zIHY9cQu
zO1QKg%fu*#E>&<^A1qV^*MR-MORc%ltjy=~JNqS&p3SVA%tJ*G+LfkTm(PP@yYI-%
z4@;qJmMQgxTt!ge+q*womJg9eN}r3^${>?=3C^p{ig4R^#KZ&VM}Oo;*1GCtQK*}!
zf;68JaOMW+{*DktyU&^g?st<%EnkB>-$W_Fl1x-5yN@tRH$MuJ42r13yW`Ka2m!3a
zw(rRY|8uM8z-&pQ5-MQ${BrZxzj@9d>gLT9M`7kIg&ujzD8aRVzI9R=Ud6T~uKblm
z0}f{FzwVOI{8CQ?B9ovr$NlQs8)+13A)F)>uY#uYSlCWfk>PY`O6qSmSyacaTN@Uq
zicVaJIqs260gAC!!OuWB6j}7@!I2s@B<3VCNAgw!k)T1J={|XMiT;k$$zpXRq<8@x
zd!`P1j*+^D925~vP({VpI1O}rxD?GxXu_LA@hK|JO6afEn(sMFO_Y$kKArSI3u@>S
z656QBX#db=sQG{<3R63zSCgy*E^DWn^_~+EZ_$_kVhpv=v5>yj)mwTHnG|IoMnguP
zxt?a79$JWFiRgVW#{gzc3crVFs-P2=lIIOIw9rmq!H1wGBVgcSv%IcPK`Svq_aa_v
zqSrMpWalLl*y7|XB{Hj`WKqH1fJqIskFig${W<_SN}}guk}6VYII7ayppHtEw5?pO
zP=PMX+wfVNDmt~qBWHF%4Qbe_eic4!3ddsbt5fe)k!bC?5@s(IBosC>`Cilv821FG
z3Am}E(;08)pO-2l5euagv_)pn7hsom{SgIi`0_BhwkjYV{}BhDUFM*%U(R=bstO`2
z?{`u7C4=mi?;ko!HHT=USN>bpWVGFTO8+}W9ChsHP&#C74r_0&Xr8JgB5S9N=n`%L
zgmkZvXO+!Ca=Ebm0GBfQb2f&!Y_JQJ^gfn1{pVTZNZP$C21=-n!2eKkoED{MMm*KM
zV+N-E8xO7ixivs{GeY?M9Ij*>uJ~Na43-R=)SZ3hP}I%mjSBA{;YBYgX}_PCf^4dG
zXI8ijqIz2qM7k!itUq47uF|GJeM`qWsV;@WI(xN*!<Vs}w~O{-=~S>UQonUJO$^CV
z2iod(ZDU<sY<;slR3OLkH<DC^(beo_H@^m2&<_fF_ck6tw4+yvZi^pvv=si7D5Qt!
zQ%0=H>;SUG4Wpt=yeM<a?}@;72Do=+{En44297VTIR~e4BA?;0u+$rj@WR4!)r4#U
zIa#fP2QpdFGbS$g>{do_{VOSY#?ts-{`YdJ7G*>&dLL|N8W~}<W;5>naU;;_IOZwA
zLW@q0$jn$KGXnpaIDvvRLpX6D&W8tI$Ll((?y;CK!iISlHUFytT<iDP$E~r1d*6%7
zuIyuglKR7=f?Ni`e}D1jk+MH{;p8LsYheuVp(BfUXrDghm`f$CU?aFUi%|<5F9SUJ
zB*s0Js|Ph>ADc9OwBuD`{w)`AdhpMUZqr!Tg|^GgtjvSScw-y(Fg%JLo=^FHY;e^D
zy2np$v^g|m$?XdT;``}gUvOCpyw-uBgK7m|xdt$WLoXJ?ZRjDA^5ytmNgc?^Ihn(o
zK8m$4OoX%_q=&LpRGocO8xHJsF^!j<!aPi)y1H-CLquTn5Ywg>R4BA0QH=k?-trc^
zbobLk;_>U{_F-C}mwAP5DRLgOZyU|{v4;V6>MYK>&1k~ZjLwfg_#!rUI{VqwAOpmX
z92%ex)`ZYBxdD^OznBv*DPSat5zPHpUCrh-!0z+Mg-O~~?Ec<1w=c(;fNQe*J;wzN
zs3$NRn+dFA+D(;1tpUtX^Kw(oi&+Co{0_$n5;rlTL#%?qZ5CJ$<To}=SBJudp0Ub*
zt}c;ZVtd%f3gh`hwhgN45JMl>a?OAS2!h)Y@9o*4?nljG#%48mzbzee<RC5le&AnL
zG0y=V%VXPefoj0^mc1-Do({}?K(w=#6G)W}QBK@y@NNE?-I-Q;XcT;C;C+M}_{H^2
z9-UDIOHQuCbMlN3HhWO@^+g_tCVLh)by1*KcPdCdnF)T7QdFYKd7&*Z+WI$@0$z`A
zwz`Y6z<V|IjxYv(Xlk`I|M^x0rd>566YE&P<w@*i&$9yHPfDb(qpAQ?b{c^zo*lT>
zy>+Bmg+M&9|94Lh8UB2V=N37?3#Ohm?a!zY1~W?jpWFyCe7D%=zkQnvZgl=OE=?1K
z<HaWJi@Ibeh^rv8PjG`ZU3Cp#x;O;cII#{gk|D(5E2oDfFQnbIIB!!c2{HfK);9kp
z0TljsEh&T#f+7kO;D$6DeAx3gaf$>P0YiJRK7L?33+7K7WPpE7TkY__IwE6hzFl5|
za7dX;zC~CL^75EV2B~CN+4P>hOD_x)*T(ZCBjw?7xR96d6EYBwwkHLD6oIIrp|Yc^
z3g9p#QJtis0`oV1eP7HIgF=3u^@M08Sld_|R~lD=niKP5gggmAdreM8h$_RVqnjUn
z2L)CyLcIG2DF|`#+i9#O!ru9lVxh~b;N3TOWMNAhcr0#A#2zMtZ|+Kx-E%d-esWk`
zSCWM<&%u$GmI4AZ9H|8n>hSXO-GCksIVfz;v>HlQg`&sO`;AX)fVE@NU8Xd7Fz)`Z
zsr<SceDLm>wZ5YXml<}}ta}x}^soAWxSBfXb%!@FebIu5C$fing_I!0UL&rkMjd_y
zxW-wi>VWTWnteYU2=GRx>7)};17y`-n(|lZf`_-<MA9W?c;05Q{NHg6=$rR@73iQ3
zlLiGBA(;qH(Z%D#;Tllo>BGE1X9(4IZ6$N!Nsy|((t+D*fISmouRJmWmex2y%D+B`
za}PXK9aD#LKdUvvOC}J1cIQeOqY89eIq9Yvt3%2$K{C4lfT|m6@;;*idwz_#R=BGH
zN$O?x+z^2E_UuepfePF-d;aCkISRB?V&BE?QX#_PI$hQy6%bnVp8POOf-;sS)_jsF
z2=TM-2s^02VC?aoW*TMCY3m-_%rk|CSKJp0YRS-S?<oB1uL8uYs}roYO(A=2VYB2f
z38I9LcAXxOh0Tw0*U~l3z_GBB^XEJf4umgcB&JKj$(e)sKP=7Q5ufb(@Ox$8p?M`$
zS0@5<;t$_HGcW^WxVZAzn*a;RlS1Pj{NOsq^0<`O3>@M~q8(F;5Qi&PxUX|U;?w8%
z0>7C8S_rPt@>BpM9+AEr!UW$U4*R5BF@?IWzOT{^a&Y3co!mHe8*9%zZ;#8ELddx5
zd0`b<&<wa(e^Oupd$4sqPOyp!vo%+guBJ=F%RO99Rslb-mY#}tDppizeHT8%BPR){
z!ca|G?E$8c!5Kf-3D7CF=FO)i25F|#>2@mJcr@#DbM9dP-=m6wPQk+PLZhieu5%RU
z`Q%u&*oVQcTQ4^{zX`w_+nd47lT-M3gZG;8vIz*;olDI>&Ig5cp@m0UXYfG2mZ8@|
zCNM~>kW$j*0d^;q2<F9EoM05;=ZF~t%gQdn7Y8_DLR=vDgU1{mrRgJhE!YV9XLW_V
z%h+I4p-m`EcMkt67BF-n#}G(^IxU$#%n<pxmFvGlvv_bJbBWw{1Mu`PSdR;3fOAHT
z=H%KLyz+>;i=DIqbYEjTd!dyU)b43!Y1U8USLr|9dKI7#hu4@2DwejfSC6(@m~T(v
zzsd(ralO`qWoyr`<$ddzps*F?lHLT4<=hQrW7h*mp*ywi*a}92^7x|$f8m2s+&&(@
zy1<wnsCYnR2`ih<9JIMHf?HrN+|?g+Ak{J`{g1~ycFEeM<m8?o_{OE(Dw7I2fE2x4
zM^<LA{{a91|Njh^cRbc#6vvHZ@A251$9U|=9^WH-L{n5$DiK8pEs;=^mCBBY=!cR~
zA;(UXjEs_%h@=oHs^9bPd7ali=bn4-`}4W|665A!&La(~nl^<+*L8shoWGJrX9>pa
zO8LJILk*?ow-2`bqJs5-TgMOYnI@Lq<qiiY_BZsaEmU(Ir^38zaDdy6k3{N@A6fQd
zJq_2|{toOL)dBhJJwtj8;{-!n?Ay4J&IW(RC&JM#I^ZQe;(lN115qe&Z<{|`Tf;TC
zara}r+OXNOab4bjm>`ZMeWlc3!<nwG$jR;6z=wj{VqFFZ*N*g%>hhWf1@jXlL;YHi
z|KXgybW<Pk^fdkE&dAb+v_hd_^?h1!e6*9LCbx$$Io1EPKsKY{%dfsWFQ+uYl#yE~
zzpa}{JtV4Tt8$9C&Z66W<CG>a$}#Qz^Q()<u5p@V-<?Zbp|`XQqSu5cltX-0tuG0q
z$6iwF<)wtVcIL=EB@M_3pa@?R>>%!atMb^RQ$<)rl(`!3QU`rf?8*Lj?Zk2QIdz_0
zwFLFQ7e~UQ)nID*bLDg9cEUoG!hQTc66qS>W^L*yaQ|>(JtVggGgFq4?RT1qokw|f
z0@qaGc@d}ik&|u2hwKci){Hj7E~WqNkfACZuXZ}enMRBI1^IU7cMx=)kMdk2RG?_Z
z^I!){JMqvjIb5Q(i-?giOYQDd2AgnYru@2g;-7NY!r4u42%EjHdc?(*;oGk#um3%K
zLDVE=H}ur?5F@LzdD5qp;K(zpUy)NCM1Yg|SbtI<Q4-<qU-yy>-A{ek7F{}tL(g*7
zzem3%9;VcF_9~HKOG#@7ne`PhLr)*roi|8miRFaY#47?5{ooPiKd*^aXXnq}bHjvd
z<e>MzMFsd{;$Bme@rD>58=VpM8X@$O?5D=}E5J9?Q4@*xJw(M7hU^NlG2#p>>(#za
zc^FWzi<jEcM>vg|2RpD%5Q4$o0ca)<isp@1OM3eWIdb5}(c(#B!B~1nN|hWmIjaY1
zBn=RALt(q(1E&a6hV1`zHRV7%WADue;X{OoEyIsEpK0O_-(9-&GFjkelh=N9_Z{J}
zN-=(T<1=xTu0WtvQx@o7HTne7e;_ja@7(QOog=jQk2xHzmVukGzYo369U~}@la3ur
z|4KX&o#c8#$bfdkUYCa!6NG6^vA@0fcVapF(ylvQ($HyObk%Njk_c?F>X!SkNVt8^
z1rc{?XtOxB=vpvEOs-XR7ZfZL{SR-AZ=aNcz6)+=A~U9mVd1v+(ySFCFV%0Vj8_UA
z9`!%{*7})nPUoZEfBBQpvT<1Uv6X~ysUUA}$`|67Nn7Pj>Te=!xBjEb7zvmzV>#g3
z|CNYgIczRHu|W(L8Rft25{EgaXXGHy@5G;umbeFl{|FKKO(hgDaoFW*D8k6NMA&tf
zKG8{{2Wvam%LajB(6P73*yhbLF))%^s^!TDlMb1w*}b9=IU*H8?p`6395a}EyqI8|
zPghIbR1}y(neqgf)`&mxcFni)nPIraVBklE2sm)ihYE)MCirHx=2Iovz|AV+4(N)&
ziC6);e)T`ZqmTUm0!KN(O57s4vQ-#f_dQG6EldY{h3-2C&v8TGz}Z<hFJX9>HZwEa
zL=VdEgi=lK@j{sTFX0*yVR(G`YO;4GBd~?_9FL0P2f4NK({qy~*x^_s`k{~sgnlvc
z-AomP>8=2d&Q=mo3{T2L%rOI(zDbbr2NIkN-Eie@Cqd6r$|+_)HZb75x#8z23h%5U
zKb@T?K{^j#Rk9W*m_B72&{UQH)ljlNzo{^sFFyYMl{61DAQl^nNyGV&WxD;1!oZN>
zZynOZ3xA{1Y!0`}K-l`5hV&>Aa6ajpYE;G#4JItUn=<9Ve!2UiaFQr^YqfYKJ`)7a
z5t;np+X}GdrJG0KiWt<%E+1+9MS^{{e^#XH$&mF;MErG&1k`GK?`S$H3b~6XrKH$Z
zAaMF><tA2X$aCLx`lFZx%--!@yc<q|z4IK>qi1BGSmAr33B5Gz8mmj&$)^GLnDXr}
zn9G4vO<c29vJ5CL9WiJerSZ-rN!s;<0$4YeE7zOI!SwVUa-pF%T%TU}PGwhuC;R0e
zouF3$?>|zlBS|_?6b22dN~-X1qriywy&}jyQLK#^qQabQ5kcuzhsxUDzZ{yCK$ic4
z^G$j^2-zmUb|Fd&o;+BxG<c)}vcazWs=xK%0~-&0|BMbS?`Ex*O{akKioG#wnLY$O
zT758)s0RVh6`e2msl$Y=?oK8a1DFo>7JU_92tsOUJOZ4WaCe;3OY(<4?8r!;&kr+!
zHn*);Z?<cK<Ag7dg{MAzo|Ns@Odx=b-@^ANO&{2YOxcdv=|Q$p?e@)f=8)LV_xJ~D
zK}1r4lywP}R@bR8<>3~{;f<YXU(f=*og_WhWNpwdbxW|Hw}1*~zg5X`EuaRT`Ys}<
z3A4XiX9T}mLNsMQayUf`)=y`=tSnW5g+iuJJMUXTOVNtF7mF5ndz{jt{FH|Y#(%%9
zM64mXp`5$ON)vkK>(=+)m4sIJxG%@et)b~XNwlp%9VTtq`zXKp;f#)LQ9aoj6zN~A
zwFXe2KlDN>U&SW)<=gUDYS0Sa>2=o+Y*K+M9TKhN*JH%a_Rpui_gewuU;DhM5Hh^b
ztC;Dd|IyGWox^>j#S+@;+ZLLK<$>Rcp8bF|6AlG!0uM1uSWZ)BnjvJNU1L90f{hFF
zF9o(=IBo$E{$c4XC#8VOt+4URkq_^03(VgBbPHUl;ZCZ&Aqu30`GT=R0n{%N_W8%L
z1+tFVIj#Q_1fpcHlplofb{RUhdYgkAgIWElI$jWeu`EW}Lc$~^mGg&R1I#x$Ik9B1
z!<EtG2IgK8zUgdYi8cf9nEYkj>$?ej{~W+&E@3RW!T(A(kbvka)jsZ*>x8QKxzJ~P
z!Z^TDVr_fQ4D`&Ti4wZ+MBAl>bK*-R+#pZJwB0g=p_h*e?q<Cu(%4?$nR*fyET6o%
zx!D9hpOIa&_IcCL$GagF6G_6tqD-y>e~lp_qo!Qbc(x%_$M?Yx8xlUD%dNAtF^1uV
z*hVwc9}WBc6Nb2jNyw@`w(Oc^1RfK9cdPi<8-8T)s2l$j!mED^%mOwHp`ZUT_wH;u
zJQ#8oJ!XZlLfK(1#mf+4SJavvk22!H)c6FmMIjX9vJ3h>Yyd-h%;T)TGGS|QMj-N#
z@TiZFE2oPA1g9|m{6(<fQ#tEna&{!#ZqMqm_nkfzoO)JdcZ>}+3mLLhGD*nIRy}va
zOCMhGe%Wr}$AP~IyD&3mVJzlz?uw_qvz{pcg*{w&XOE;q^mSoOUb&p9aZ3;2_@2VY
zBp!5BEN5R)6G77>XPTl7^&m7^VS4fp5B@!<YjNPS2wKeX$~>6Tg;SovnTiv<2!r`+
zp>?9Dba;nx&uv}6@b#D4EqwT-WNOP$u^2|JoE|jUsSAreF6U1c^P_{yo<AGq;y5|3
z`qh%83k>ZP<+T(6lsB#TZT?yUk4zf1Y@edSVW}?J;!A>9v1fLDm{AH<)TSgxo>9T^
zMszLdtPpZYl=n=KrSYYekhxzb6?E5@+0xFEaH2o8%Y8^1?V1zn(_*MVzIRK_I9eF%
z=Tf+CrO05w#EGg+7pPD${ARW*Lj+Tsv?<qj%VPRuL#X>jD*WRfE$^-sMX6fBB^GHp
zJaOZh)}91f-P;>$A)m!iD@Zpz_PZQ1d5nkMr*UG9;v<nOErE$&!l$XN^2omE=D+DJ
z72bww_I4bW#L$n$qhpy0cqHex4L_GI^d!dSvOSVQLp8C5#Z!uCRVDe;+eH_~r^CIY
zqNGu(QZ3Khl8lMt(tpmB>B4;C9iwF}8FbKoY}LoDgcSkI770RnaOT~RLE)qf;#38_
z%Nr%Mi(K7Wk)Q_(?`z(WQ)O}Av>Quhq%uDBEHf+;(g!(>;EGyHIsEsF^O~oW3VPG8
zS@o9cgU7RwIFBVc%%*R6aj!rHOPb`w)OH$xBU}AaM}|DY>fquN4pp@CKV)sdWC%0d
zFZY}`R>1$b$TM_1Rk6VOZrx&|A(RCj_G#@=z&APPciIN2;$aP5kDeGKAo!I}4DMCL
za{@lw8IG%>-gjZISKEwX(bmc9L!Tl#FvRdCQdQCBYt$ZZaTE9&%M~MNM8-6S%`xYD
zRB)f5glWeo6S!@W)3y*tMoM{}WF4rW>-j;J(fg**t`khB)I!F_sgetAQOcP0{9{7Q
zAv2KbE_Gh`NJg{mahr;=m5{gcn^`M60Y!cfUDiI6G4pm2^-BsF<wLSk7xM`y^?E&<
z*-OTLld@mIK8k4M8q*ZS50GT<OFxoJMu$yB3ED~u$l%a>gJcIVyzkwq6T4{rcr>Xt
z4ang+KX+S>K!8-+mbOO=ipUwe+m-EtEG~yY*3@-?eZ!?0_i5*?k%PQFvNE`owSyx&
z3*g8Z!N)^m3Ya>Nel<B#7?&dP;zkaD;Y#wXwuu5xo}u;-d=hw(&S&&&DnMw{n*)ni
z<*`5~uvGAYC^kC0kG8%DFrp}zb-GIqH=gg)Z#pH6<zF~%iyQ=S*GOF_Gt1!syln9E
z6T)wU#p>Dy0EsUThVC_$#kP9GA4@p`*q3sMXNU#h@wZ^IW}pm~T`IaG&CZXC*Xvp`
z3kh&4x$YQuUm9OAj$3U!<VC6WwY+#O0&4cIX|1+O;pqdao|1_?_`taB@Z(A|Sl`_B
z<(!Qq_H-Gj3R-hx?!ouX9NK2U=6P_B&#*Xpy13b~^l_s2Gxz5^ADBY<hpR+SxEQi%
z#uQi7b6}I&XEtV8Q>d_|T#+;q#a*jG{?>olvAqcLeQ%q<+m}3LGMpj^o3}_WU1LWc
zH(|3B4ihkGow1ksMM62cReKFjb_~kC)bD=D7zUgYjOPCep%>a&tcS4U*`2p9#{Dva
z@`P!amlVQFUym+rw6Np#o98tv1C2n={@->3H$fcM6JyV`=D-BHv8DYBhF~@t{{CL6
z0RBEg9%1^)fm;(VCM@|G!j)yn9}*M5I}Gb(`n{Z}b*?hBZ@~Z#o2CEWmd}r`E)VK2
z^mE}_a1ig#U;}t=UqcSF;Kvp-7o|HJ+$cJ#>0JLuA1>Wk`B$>ehaMjDjg|R4sG^|W
z=@zdKProEJZ0Y1fzu>qKhP}Lau}a_jq=Y^+&t~goJ>tU*AHJzUX+BhUO}=SfsR!ow
z?0qE4_|UbM@c`EvAM!PPuoK^=2P}2v&4$Q_A7IaF`4~Tn{CMByu&4`?+G%vBXZSFg
zM`-@*pa3d8a-qtl=>qSWn6V>r{1`&r$3U78#AV?@@jsTj@Y?Q7<D(#cEE^=kudfT?
zd`o$+$r=@oS@M_(4bk$yIzO%>3nMkSxxu-D3Ni;p>fE;pU`geHQBE%!cZKJ(%Yvv-
znUc%vIU<0UcTRAQREuKq{?(*W6DoKI+*e{bFNi;==ihjVien`AZNWe;Dr{Jh?igzb
zAyghc)SM)NF80SNSZ8%WBt34&?1~UxcuL~x5|P5Zt!3MGz0!eb4Xu{7ZW21KslJZc
zD~+s{7eu-1bO4q$%q;7Lk*CetdRS8iuN)1o*i@|pLLNH`66-~<cuHDKk6RWW<kTgy
z)AAop{r+&_jVQ{fh5!8Thb%5U`)<bAtpgI7eQz$Wh~afnHMgH*a=15aj(GD;2NHG7
zevGL~;Qp(=JiguXcz)DT+eL~BX3URsA_FDy^2;9Huc&}~I<L_Ocu>JyqGvnf3n{FQ
zI2!-y5sjCOTV8xBr9xkOa-IE6X*}>DE>iCfjc0q3bq~^XWG48+y`K&;$o$PWSua`%
z;{paf-6C`$XiLQSoz1f7-jvw!=zucb47p9PZ_<PP<720jnq|>kI<Rd?Sp{$W6Jgz-
zt_Q|kO6lzpau|B??)HIE6_lqBEa@Qh;n>g?<z-`eoX!=E{}QH(Xa5}Azk5|5NYB%`
zgO=p6SNA^a-6d7@3;TZHRILF7FbSSJn5Td&#e`jqH3iv~dlZ(h8A5L&wI{<$5z}{`
zkdODL;LwxJu^iq;z^U%@@!fkx{1SDX&E1EBYKwQDI@uY6F@3@Lu7hMOGhW*JRFi^L
z6XOm~DJF1vHL*&qhsJA;T&1RFReaPk7C*pg3a(Eio-HXWp>Gu($x2ogZ*g7Q|7pe)
zq++Zme7%)0oDFinY*oS65tqxjs?Ff|zb|&aaZ2dCT~^!CUKvm4bbh`YM1Z>(rP(V%
z3E%jYcn^px;mE;}Zxk+o+G+Q?lprPCwd?-Rv@S)=`pO<=;{xzt;LYJ>LnSl|&YYb(
zq<{ot*`cRN08hgwe;%47V{F^Srh!j#c&NXj;8q>Lnlo2K^hq*q(1~>P9Fj!^I!mLF
zVSrwGwQ~*Qil~@xabkT`8s{3#{QPGCsDt%8xl9yMB-O$4N~a_m#yS4sq{WK_yN-U2
zQoy;r|J~wQ7sG-z2StLmj+^%VZ+vy~*nFfR{En*#x>-~U8Z`iL#&Yco`z(iAb1u32
zz6v43RrZ%&835IXwl33g${|bT`|TGS1h5k0-&y$qK*hG;05w^(>Gg<@?WJ*Jhn@01
znms(A?8RZfRR$x9x9Y``dC~qiCB*Ot0k!&&TI(;3GFGK|(&xC*l*`b!>l6X>_nJ3L
zYe?Z7Nq?7vJSUo)ue_d^F@tBrbjsTkB=Fpid-A(2*ioth^6t2r0oPMi*PnFaxa%|L
z$K-BSG+w**;zO$`gthcFYQ~A;P`pfFN&^e#m9e`hYnj4Mk;s+36cLPO5j|MR%7WJY
zK?^T4O`u{{D@|dRgqOD-=SnVM#({c{wbz?X;FHVxNKvB@{@nbq&ncD}-FIv`#}#A@
zd9C-ALaPO_ruO9T!D40<yng??{)7?i1FpRKb^#3MNfzDM#Da|0Ip+tr8^N1pujkGy
z{CIxb$kvDy7Q9R+y4|DI5E?Ty0L}Pu`r}nk*{!U|$P_NDY+?wRc7h6l`7}R#$2K=b
zlMO{`i+!T24dBFJXvlq8KC}`U<~wG{j&s`duGLfn7<id7a-)_PZ>i^(u^r_=k79e1
zwQ7B6RMcbhIKhkOrqA(}JmN%t6R*K2Q+)_^{3xZP&x@~bT~n2k<i?b*jNg-9=m8Vk
z7Y#dMUgV^(I4tbqK^9?!I9FFah-N*(JI&3DQ_<pg{8V`H<(4abLSJ=Z%7*&zumr7c
zXSdmNZa&Pi9e&Rds|(eU=Qrs9FY=42@3&&&$Fl+?)k}&rA6u0)^dXcNyH?G}SJ?&7
zmf~pH)=34y%G7hrExb5=XsaznP7rNwT$a=hr2?^E`HY`DAKrfLDEHA(2+iKLrz<N{
zVWf2X(TOxZ93b7w@wrOEMf$u&@kt%vvDwwUO@<$z1%4L`8y3bhh8ikycXeRla1_&%
zdVbv6aLca7R1}SQ)BOJ)*MT2}f|+tB1#rt4&+&?CF$`F(bR(JQz`NM)wPI~S{8ndF
z)@~_*l{Sz5MhWS_7WT`LN7-q*wbj~8=(8k#7H_O(TGxiHX$zDSYeJ|&-0P%nlScdg
zMel$)ZE#uZZR@1@ijz0V>q&Yt=v-~BR`N+3tlA&toaPom(m#fQYl^bi?aRSf@>LsN
zL<>im7>eSpi9=NuQgYZhC+>KfQ3tww{pTA)#4vpKiM5kb@|d-+r(8^l*3U&Z$7Ai{
zh(X$myA%{qiwNI%xSzJKg#Hv06-kUaAf8jBu82*cXKq{4<^YsGa$mEhaI=q(Ws3nB
z|Lk7k9QdUJ509k|?@p4&&T79vCQ!oN-nBl~N2uWL(KNy3DubKfe)D$&WsET5<hP!r
zf~9rQO1``-a-B8H|3+0oZ7y|tB3Kv7j`nDp(R6Naz10V2VO6Y<d0k{Gss|4{Kg<-i
z$f2>&)0&f0s<>6JIJ2)$4}$(nJ8XG_wx4+w&fXLXjx$-s|GT3P&Nnoz#M~87{(`|w
zySN%2)pl6qyI=tC;}e(PN-Cm>mfpm}b80C4Y4lc(w;=>ZWjpuvE8;fR_k;V3)$m;w
zU;MEHMsTJnCdu?185?YNkDbm{L*xH4?|Hi$L!H+86=g0Z+}xW$UfQpQo)I%kAKgu0
z*Dbrs`m0LlVb)@JX@o-KR;GT;K2xx|6|m>PoD%w6znrolNx@5}rW>-hnL#%F^28)X
z8IM`Vj<_hQq8WXR&^~<v`funq)H*3+HCuVH^-pDtDITmAWCGZ&Mo}Zv;+yZMJh`2w
zgn2&t%=DfB1*!vgx2h<kr=E$SG(Q=)RXuds{SZJ;Tl|O1M<p!XL&vOhiuO;+5U`0_
z0B{viC_Z^s2}fUrkN>TgLrR=7dxn@fIPLR!Ub9HXJ0%ZFM>o;VA=|oRtG+oT*wuW|
zbR^@r*v`r_+WnMdWcK@RZVn@TkL<5qSH$bLSL;r>NMNx`M2?4vIaKKG3I6+30kbp;
z*5hdR@w}eB(iGVoer~zi#5y34p=p_%<$FjtS^6<oY_mCZD0$l0Pt*KBiI|S^GXeDN
zSqXeK1aR)8g}e1PSv<q#xwXiP4?pP^#`fd^oaJyTuwIeDROjD~DF=8kXEpTO3T+Nk
zuWGsVH>9!jWKOlT9VfO-4?X`P0YKiL6_w0P^I>t%ycE6IFnDM+KlnZY%3r^!=2IoH
z=wM~zM@|-0w~Fiy;37ck?$`S96XK{b7RK{YcQdAav(gp_FoPriUbVk^E{a_xVI1MT
zn@}lz=R?bGQ&2Vc=JHh$!7<zN(Skun3|*64xvpjk)Qgp$KU9z~<JC%Vm?0y^e0nQS
zxn=?mmOi`U+=P&sOO3a7o&hy>9BC!Z8^f`}C<YBFK_pif9TlHpK)<TFOkO9NUNF?(
zqTeKdr^;utk4Z6N`dn&#X@wDF7tOuyVCF}^QtP(#>x}4qJ;uvj)Ch*pT&ei2%!hjO
zCK1yro3PLz<#=ecA$%6Lv*_^Q#mO!@$%l)Z5G!SY_+bE*Ztwh{jR%*$tn3K=z=Y}l
zMK#WO830#DoWc$>9(?U5-_Sa@8C|Uty9+<)!>=;!2c3D`sFGmPB}igH(&^C6nXdZq
zGiBq*i(g!L(XuD+=|NVEcM`9fAJl`o)-5TKm$*<t#rJ4a8yhCfrCT)81U~nG{&xl=
zF6584iv4WMfh1n4CQRwV^@RKSS0uS``$%=<=^0KuaqD4o>M31FKda#qt<HrX?>4Gv
z<a1+{7NmV+)P<|dpME{?=EA}YmT>nu4?guQWVw<_1&a?%y$hXO_*z|aFq@`tqGnNP
z*#=Y?9XRp!(jIPnv-&JBpo0(RoP0gcyw`!aJ$YXKOgxzFajIE#mLKh=9;f<W)`9a3
zN<|}qJV;)Njw}}wL^fGRh6x=VsFHh^$?$^*d0Tkg?LCEXtkR>ygvM>7@^kxFukfO>
zr4;Mt=Oo+^IM2y&UmG6$x#;ytix0J)Mt=XUA%Y$Jd!9F*(1ru`){(s5_;Bs*O<}sH
zqIf~q&O_Qn8>B3GA9Nx=9xv7^{pTi*YZ)PxgZ$cX>}34(i6Q~icAqPW;Fkb4K*_&E
z&t<-?Pgb<xGi6)N&U``KviqHQ^Cu}h$Cs2-GN}d39S`|?Duqx_!A{TVvox;X<jN|4
zuLaQuiEHE$5|;HBm;N^^gC|$S{l+J>;4V+~u`?nfcyT{d)z(#6^oOx&zf~<T@t;5a
z%uf_^+>IuLIpy)h?1Fcis5Xohh5F>Y6~hgs*8-sw1zf$fJFwDO8@4<e&Aq%+0{JrI
zZyE1UM3Uye)55p4;g+mM;Gs{FxZh)E&ovrfe;7Z|7FyB<XR61&UQ21*_LtuMb%7FU
zs1z^G9-=vcg)54@QZlIeKs7(1Lm5B0_sAB`=s=rhZtL1V8MJpAHas__g54Vq?4p;c
z5Ed5I`rjv6d{0pO4}4Qat+w*w$NIXkL%BnH<Q46|G$m|9{Yb&Ws5`ga8T7zUC5m`f
zC6Bc$Ki$oqsNuL!N6OxhdhlP|?aK9Z1w546-RIz?j`4G3Kbc{Du;olX^*%%qBTn!g
zWB#O$m-Nuqbix4IzH}^*ZOIr~+I7;0qJd#cKI-~whS1FP$#Wm85~i>kMu4sc`q#fa
zpCDokAyGOZ4OKL~NYv}=_@#~qX9jy(2@@FAIP92ZtBgJpFZ&!q)bZ_ymdq<hOd)1-
zJ>^urGX62jc$rJnDL!X?-Y*em@c9J!fDVreZcHDP%f3m$Vd;V7rt1V$Y1bMin5tlo
zP35d9p^8n+Nh~Z|0DRKssFD^ccv0f+-sCc6G>E5TdRhk1{8cqNS4ss*^ls_97RWgH
z-}T+LY~~=E*XhgKr;Kdjp7LAS6*02rKb_hg<}lB6Q=`g58OJx-@C5M7<3@RD(Nv5%
z7@DjYu(c{-l!tlvqJS*UR<=s}7n%bn-@t==v^iK&nI!f~NaOzi0096043~#L)eRKJ
z?Y;MQt$S_m#kJjI6sc53QAt*%knu*zC`D5#B{UF9rOb?s->FbENGc<nQbwf6e*FXI
z^EvBzzR&URl(TKc)-cE}aC}9dg39Y{IHE)4us=A`$Mm5!y!==8NgK#$Q&p9;ZBPom
z4}|x5T(O2K!@>Mq3pH$7N))(qOB^%pYPuZ)tifVSSoyS;D&8Ysi+%D?1ou5ZTer#3
z8b*h_?nQ~JpkLg&wlEPPe4+G|_30mgjh#X5PXCn9?r+CK!AHF4btN;sssLco-Mp2l
zkAw}qH*@z5bK>t5rlY=l0D6+M8f9-NqVAp24I5swA?NXC*H~VFV=v#h<;2V5iBG~|
z#~oSlELkQ~^$-J$7P^)=6J_!CizdIzyP0q?>q6zLYAZ-{3H}z7Cyk%qi8gEWE))4f
z50s~PtiUbM<(T-eBp%zKkSjQ{NbITGV{5$A5`ynJKj^ZRK;!Y`9HycLqQyLx{`sK=
zR12m#{c8|I`5?2g?J5fd)!d@CeAyg0c(b2=Jt&Gh)R<hg$O}Z64yWZQ7jrnjLC4jT
zCW86b)URaUT_D^SBbc5Rm_f0ol5vNuFg9qGu&*R65>bOxuPkme7<2#P;7k_6kdOxR
z>$pUOJN(4hgQgJfi}Nbk0%%h}W4pU<g%}SYXGgS{z^kO8*gzUTHb2=$OJrxl^INIy
z*(N5S|I{}wWtkUy{B@69V`Ij25O){3XABLFa5rz22Nl<wj+)7{px^7$OP?f-;o#u@
zKs4gPxBjYM3O2Li*_kus`6N1w-SYA#-{!_v8C#B-Yizhbt$yq*7acC2;0kgw;Ktd5
z{kL0wv*W=(dn>M;F#>^)Et`M+<-%u`-fVgMIdM^3BwLTy2#7$|2b@D(*gJ5j(CZHu
z?hCw}8k%AVlui-vp?_Rhx3BxTPX-TauigteN-_i^EyH33IyVMGBPDVdA2w7aaR!ta
zz{H^w(f8B2@qu$hV~wc*cIIchg={c@*JozcYn6F$>-xP}?`4IsGBc#CeuM^*LmnG`
zwesNJXO+EuTEciDfoggG3=Jx(D{N(Rc`-D$G9lJU1Y=0WF8+Enh@*w`2i)Sr^`HJc
z)kqM<+tx*UclJ=BsimFC{uw`#ac@T82QlndJX1G)g$lBjQ_uWX1klcsyX3Q>1Uf&Z
zcjRxTf(cJ#&}Ty-{P?T+^6w%^H13Iw6c(n!ibGt<ofRQ0Onee;W-pDxgPEr7U-iL8
zq1;rjM;N_Xqj&Jk%b;rNHQCZ)eaKvQ+SmMp2xd&J%qP8)!(<K}_KV5-p!k>kCAM1>
zZ(eWO{isv{Lu}vZ?26Kd21|$5vL!KO5e;si*+W8-Vz;Vgh&~iWPy>>TB(Oy$+fXH3
z36JfnqlJX)15SHIWhF|Yo7j|yaH=xCJhZjIH9;Q^Eb!-ePD$Zn&gjfaqY9=PY%4u<
zUmr&9O$yD2$zb8u>BjqPYG}2&t;(faAJ$8qEN~T&!yQ-d5=xuNSSfk--*aUuWZYy6
z9eFN~$${*-wYMplo@F&08ApXv<gDM<E-K<iKT+<H-|Fbk9DChhh6?GrXR5Z8ld$vY
zz{tG4CT>2IB9akDgXHA&@`^$w6lpRMG{2#Rltb>xGGqfN<5QHYDN@F}W=1DVI<>Ly
zoq$5~cLN9>eXGV@p@Jct)@25qy6DF0K4jcr2!*9Xo=*r>wC>a08Y-cOO;>m7o7WkE
z&fe;6Vz1ONQ<gDLUDm_Nx2%-94|E`Bxr;2kCS!PJ?o~H;edLIZxqohX?O*71cVdu&
z-(I*;SX1<|R54Cp+R7ACRm?1C`RceYh|Y5Mfj-6?%`3-UGK0@Env(WW8t6xz%s72R
z9}n{VDfJmO2iw`V>V&=~zTZGnZ}8B^mb>b*Bs)vsSt(y%)u4&{E*cE(>CwZick$Um
z=~i%@Dw$DlpoJT>K72KOtc!fl5`QlAFrZ{6ebOvK3zxgHXGrQg_{6P!XWMCjqc3bG
zZ=BOYmwB2&_zo?cNSp1g=C+3G4%OtBhqUmwa*%qog9e_MZo4NEWesLsUo~vyw2-qi
z;^z%s3da8?w@7`o23<us?0icTv!C-lV=7g}wt_<p4N)7AI}miTZBhf5_BpRRyiFMc
z_V!LSncBc@rq9I+QW_|D-SuJgv?AU<c`+l?-Uf_W_psN?t0TRK$0sgS7CBwK64zVV
zfJ~UQ3x$J%zbkk9y|R$RP=~1qDUuC*yOb%Q+M$NiySpAF?i0oS-iYKMzpSBWF8%Z4
z3{{kl(?6;?D~Mq!&;K<PSwp1ni=}8+6`U+y7xR{h2TyD~@TJ1v8t7SrQEzyaQL5u7
zch>|P4q4dyX9!zE{hP-fs*NPnrvD6#dCG)ye#Iq=<p9-cMnA3yDI&f1PCH-90wE~Q
zx0BBuz(Fn}mQf&wRWRPRS?@1Vq#t|MXo3NkY(G^T@t48He}4Z^Vwza^cx+ThodNTw
zhTUF*6u#e4zGP`NPISyN-!k^Kg3!``RSwn?*sDlpx3?N4UUF>uZ#L5sIA6wTeLEnA
zptt|l`u-6js4d?ywa)^$d{vGFRf=He`<Qy+-eH2bQfX;O*#e#$?Y8@<Cye{=U!oPw
z4-=wS5?}frGzVekm3!5<1aY=eWJl5R2ytO-RL`&647yK!esD*PA1?-{1g+G3Cw!93
zFY|Mn!Hd4uY>7D@EUD>BI4JUyP~>l53*K!C2gVQi1o3lY<LWKz)xL4!73YES_;M3S
zV~JPK^W(&4Uc$>H&MBh#WyNJHaTDle&xpzW$ByX=g>T9mrirEhDy1(UH3p+Y&o_EB
zu;J#J!*4wDW(d+sX_r?&9q2c=(AyhXv17`R-jMy5;5BZ|y0wW8b9O8)p7SiY$9o|w
zv2u<Or?7Jw)EYrgx31eM4;H+uU-n<c=se+H!E#)bW(3tbed^?4X5=1OdotP*5y1Jh
zkNU_Ef^sbeV^W#%dsERb)wC7DwB(a$qPih$JKfWy5X_9ez5Q1nCoy40mYXZzLj#cG
zKTKOZz>GUL8hL)~W5$RAN=}2G0VoP8J@8FnMjKU<XPg}?9?B>;t*oL!?#ZwJ*k3T?
zTkWcm#acFOU#S$CvZujVKePAPn!gsLT1|I4ao~1nN{Q>D!iEBqjS*=qxHarN+t@rO
z+8_Voc_NewQfW6Ty{N4Cdr~LI;srM*HvV=L<EMh{&DM)$qpY}|r@U2cjhB86z02J9
zSRdZ2Jbu?!$A(wyoh5!%@T144)X2xq`Vdrqre|LnJ7(IhJ9cbb5GRg{4{l%30|_JM
z`~%G#IDUV8j{{j4?a%hx`|i|(6y44FQY>7^Zx?r4K3D_|-y6TRZPW$z$itaSyScHZ
z-@drDMHGjxD!v=E(uIVE?%M9JJh)us6Mb^CIJ#8j+3#r30Z#4RlU1kqu+u!f-{pq{
zCTpj~jqTI{&*w^CKDY>AtRIN^=Sg9V_ZCl8W*yj!o~IirLb&&&rdaJM84SK29n@5%
z4fXSfI%+J0F+9vv-8@ka{jJFE6N%ao=FWOT;h+d^jFev&{X_xZS5Cyw9@K_J5w{#D
z7DbQJhS{&NBrHib@w<OO8!`{S-f~z}9G%*0dAB}OLN3AG@6=9d!v^No1HD%y@JiRs
z4HvmpP;-1(o~ce7-j6jMN!5|UGFdN2_CQrcj`DB1@;Xp$a`4pd@6vcwJESzRUkx`@
z*)a*{=>SK2smnD&7E7b}1v&jGXzE}Q=e1K8s#=8Ua^>=vvLN%~zgcyxTJ_&1VWS5%
zZyG7e&5Br{Oti!%YhuCDv9I^^^?|bQlJ5Kx3BSLg7VOs1#*afTj1#^35Vj*hXs?no
zma4ZN&1lfUFk-WRPXQH*n47K|ZB@at6zPoVEqdtCchCIBZ5o)S-HW=LsERsW{${uK
z>f?UaP2WEi8vqAOq~s*3VZ1BV$DD(T7bK^O@P{EhQne~QxIo56P1~l_D^#ph2`*H#
zqr>it%&kE>>bP<+JY{Nuin*sIm6hs@VR1|BpofbFsyuBAi!`I5QAu1ytFtLo7albu
z{4`O@)O7HR0}Z#n{nV(uXa-%?MLB66T4;Kb`RTYK4Lf7F>OVfVfXQFE`FR@J_#QZ3
z$5vBu$Jqzx9(q}Uldpn)|66TbeoNc5AWg+!ZP%YG%m5FVYQC^r=-|VEoWgkveKg&c
zU5SkVbiL&<N~jKg;4}Tg>!ORvzW=!LBCUZ<WHnd+fDZPVP?APlwD7u<-HjOm8wg0#
z{N|{rgFX{q0?RlwkhfN~&)}>L94|PmBX>g^x4xU7aTF%wsMb*TrG6Xu{-z_du}urB
z?cEIj@~EK5K=b}p30rue;xSYFMH8Ji?tCC5K*DnhhOUm<w&3J`TSw)w23k<678ZSF
zu(O@F>xHr{+}n9Ms$`csa&?{RVyxX`w$0-wKbCD^Cgr<$$v7DeJ6wh2)(K(u-dW>?
z=QdC^E%P@mKn)XnxMBxHx$s}1vGuWV8^A;BY)^EnAh|c>d|)dR^3<QVYL~D9J!v<`
zT1RE9>oa3IfAlZ0tzb{J^qLP&m)y_2S+~YfqE_W}`R~Lb-6J~hY^;HN<!WS5lmbr8
zraQS@dPk5S!nuzh0E!JoQ@^IlqM?LpKlkew44(g-^}@XX+}kR@^mR(%2fOrmciV2p
z&w2gc=UoiQFu3vLj)Me()4bo^(IH0CX|Lk^c`J~tvDDo1O%xq7bsKe;zcaj-|4X%$
zw}R%x=&}=K!U%u39RE1}WVD-EQ%<k9gs{v8xz>Gxn6QI$oSQnv_}3&8$Q@w;N3z@9
zx773EsgYAw2bjkgQ6s_s*bB@dHEVE0IhG6K8VhfjGyh~T%nK;TM$Mq~*|TK4%#LkG
zB?RgNMj4T@nm;YI%)nGtd*Q<j3&x#h{}><ejWK^;ms#dNQ?PG$h)Bp~!f~rE;*8ob
zqscC===BQ|s6JT{bjNs^5Dp@1KYupBkiNbAjakwJ+-0HP<o-O-=<sAEBDR<DnJn}&
zHpCc&tS{yNxiCw7i+sp*F|m{3tzbi4dQS(RGwBKbT{DCk+hhEd+s=4b*=cS;qp!`g
zq#Msn6O}jBU~5|oBZq$~h9koWHU+*kof7>;xIaj`L91$He3IzrSLZN-kz@BDxp0iw
z;4nsK2-YyZit5XRM;L<Mt{a7MA4Z8TR@bGBrF)F)MuOgTKMg>e``)(`2fq=!&+s0P
zRJlSVSMR<x>|+3`GoN-$2M!b89{qR0cSkAF&&u`tWiJhk+rk)CZwHAmwIQy6K_tSw
zQbH~F&;ZyHn(1)^#2=+idPSdK5ywV5?ivnIf$#fZ9Qk-ZVL70|@0j+U_&Q`sxxAkW
z(`r-YVxfHm|IVPBLbuuoC&h+9!)blsC`=1d^6n*WNcOJI4t*k0OV5V#$LfPZT>JgG
zXFbHbpQjs^wL6Kh@y6?H0{T$%DPgntkscz8Dn~ta;wxdt<@}dtO+Syjyi9F8(?f{R
z|C^N@?IT$HX&v)Hx*$5O{%vKvhgjz+REOmQ#7y9o{NhX<_`2dWVU*QNI37Qq<efA`
z@Sm<bEc8WtZSUrrH{9tXeD>sBmWUZ4@(i~BH!G?Qg*x><#bNyf*)n*O$%XGkvcHh?
z`t4e9b9-WBsM!Evno*FwtM&&W!A4OUxvdGwqGl%f<UwLq_;|dR^f)opZS~~YPYpQk
zXx*e{GDOt6PPj$qO%nH&<LiqpG~jONFpq7>FcD&#9;8_|MQoT3x>%W_4(szmuJ^T$
z5UWe+wx<n$6Gvp8u{{4p0m^N*O7Gp@2`P%&<D4%ugtutph38u-5a%r!R4M+0@VD+r
zFJ0rMecq%8Ps_>Boc_$zi)oDD+|lD^d1H>qFP81NqeO=LmrqXmk|qe9!E<$nwe!Sv
zSC+d8SJWV<+1n;K>K9R`*~(y-ULx*3^&5@iP=lft?W|$$X=1f=?s{g?3bEtxhN$!t
zs&H@l9mDw8Z-O)Qk+NL_6K))-W9DK~g~1rlq;mp)2np*bx0&rM*pYO0_u^?4IBxe_
z<L0}+#GjsOQ%7Mo9NrTgQ6;DXzWI&AY0u_}9HpF;)HO~_^iaZES;|n@LO!F`HBZQu
zlJhSKbD?}vjgORxG91bf(etG)5$k(et=+wO@ZwySTkU5h_?^SYw%o8ng!6yPy)?mx
zC#Uk`Aw~)IEcixCwJ_m;Q`58cHG=5-+E6QATM2fK30x1{%YvChk!D;6h0#}HurYOn
z1Z9%p3eRNNkmIXA+k(6(;w$Ei4-ZIiJM;3SI12~PIo4k*TNXnF_Y%7gQ6w->XGo08
zaAC*$$N^=3NtBf=I(KO&39cn&Ggbq55c1&2)~(XG>!MhE&_)s{3+H9{{o%uk%95|n
zZ)B1G!uH+Uwvs?Tp=BV75X8-<3|sYh1$2qLkzNu=0*me2)(0IB#-;{`0oxi9ve7-m
zDso9+75H<ff}|+El{C26;;xL*Ru0!UFO$F|N4n|Zq!^CAv32<>sfzxoEVZ`LO0Ztk
zWn;^<1b!JhH$O11hEE_pd9S)M1nfNZkzGX^b45Ehdah8=zofr8j9Ue^X2>o(pO!_{
zm?8dP6-`6~wkNLYst{u|8OJKAfc)LVS$q7o@k3qVhOSF$VC88L@hFIdBl5l@;&r<C
zm71lOX-|O<@-iJfqe^&}rFh2tsy_DbcQnrP)PVc>A6dDNsbJQpMT7nZD!Ry<6_j>s
zL9M^I^&5FLZ27f)<j6D)<Lw@a?|Y*Qjk8RzhCh(etwukc!efZ)p*y}$N>jmg^C2Cc
z%j!5@Q?K@l#RzStowxDu8GwhU5O>=qO)T?!7bN!92s!>m-wQP}0<B922Cp({<C2g?
zQLq~wZ#536M`jvBOq%M+u-iIFeP+qcb%~C9Ri$bI^vz&r^Mk-@F+DWVINx?>A03?s
zl7skqEFfstqjPpz`q&kw_Wt%qBh*=N+FEs)0ck>GIs4ag{!y0QtJ_-)G0@!Uhq0tJ
zBx(gX?pW4GtIG=OhISdC>wD46a3>phw5{sZ9EpnAwo|_qPE&E3n>D7^%NCY8Wc`eU
zsK{O)cI9EYE~chT23audVD(@<XHwHz9X%b_iCGPNEH?8hdDspvX6`w^$w?oX7z6Dl
zY-%VUZISeG<2vB~vmiQWr-z%gln(!vCZW<^^^%Sw>!6g(8Z?lmgKU4RnC3eru%DiA
zzhM75@PB-x)Hz=ZS+~)K`ET;!U%yQcqcqmRmg5y0ITJK6*?%g;Kw^;?y-EqyY_Nmw
zz0ax_fPzeeTxLy<6$I%?kR0baJBavc=b=2Iif45;B%Z!I!)SN9@cB`REqGl!@hLt{
z8L1LS&h4YKKq$srIInS3;a*p%`&&r(r=34^{1F#87XF5l5jMbl)7zulL=G7@KW{m9
zgdcc(dTw!bSi{AwF-NI<QrKlA{?#c+2*x7f#B{B!fv@ChikONR){yo_IwuQ5^B>7a
zGY<jo9NzClJtc%H@{`pEY(=22?mL^GBET%y`lKhGJgC+9;RWNa2#Ai02A3E!ptz*a
z!D}NMwj3b++*~gL3ZJJvLcj`s3eGlMyuM7tb#{6Gs}X@3{j1%U?v`K|<Dz*#e}=GM
zs%-jmQv|l_t}gP$T0m&?UrXMo5kjNxQgwZh2>8_2CzTbMgKFj>&GH`&gu;tIK6DEa
z(EaxEtiUfbn7H=+%a^Ag7&hdO*1ZBE;H)%m%41>%iGnYE<;zAGWD&tlr^ke0AhZ74
z)AOdFp6YSOBXf!&c7$RV|5+H`WxAowHxpReY2dW?<6nluj!8e!kHXM4Icd-CXaesd
zI-8X)EHM1S(~hMM2?KL3Q$hGsV^B!-==SMaVK^LlF#D2Q1WqmSsH><OL-}QqqUHc*
zn7p7+-ML-_+GiXj8nWr2)l(WdYRd}UpKox~t@TT{GEh`irh^Q!E+1lL2fwreW?61g
zh+chDuk^qOyas~5TrK2)OHb2R!!L`1iEhn-GP)6n^>Q>bZQ+7H)=r0v^u)laY=6f{
zvmq?kx*EOt&J7P~2_zg9gA)^-o^Aeyu)0l;o)E_ix;zv0AvNNV*|8Q_ISpY$k==uh
zvi#8YR6Z%^p#;eGOflyd830L!?Qkn001H+XWo4z3;9j`RQq|i44DL44N=$^nqi>>R
z`HK{ES4p(TOB=v@-r<&2X<;z(d%DshDFb04MQN5@G?1s?c$&j50$amgPaX`H1yifk
zgF`tqI5J_<<FG6O%!60sr+&(TX|D7Z=|~#XRungcv4}ym>2SYmtOCe&Eri^3rGf39
zxryTv;;{7G)Fn@X1U*SLU6z(KxRz+=b=6D)wz$q8y}n2SPV3szaViaXCASNd9F~M9
zyp(f+6H4%AVqeuG0~##mUHW>fTnc_>9T?a;rVRV6uiUz3O9S&^VXjs|8Hj58A;kMf
z1#-?hbbR!o!S-FD-y@F8LbvY4sA+aJ*nUmrbk0>8?3gPX**Px<WgqoR+7!r;w=kY!
z+fD<I<Ca~mXB8k>J?wIyIR*GPe;=PzH-L3Xxm?a-Bp4CD7oO^&4rSvfYu;WlfMxmG
z_P8+;JX+t?R~)VZoYh>{djt)kDkt{Aqt{Aso%6Q3e1ayBFGlbU=NN*oeP*osLuFVw
z@7?hGj20yN9$0X2G6H_p^GzK|DxfSbYk&5LHl!c!WLpxT!(cHVK?zj_!_^*(i|cjZ
z#}C$-Z6kE(DBC2>xlL`Y&f=Wuj1GA4G7N@Vj3Ht3Bi$JdGL%I;p34i@1;^}IzTmee
z;6UM1Tb(1r#iMbTR8SYPoPYelFQyP8%li6fIR(n57nksZF8tP$epftU2H&Es$8CJn
zL9tflPupEx2$G%sLE*N5<f#Csi+|PO<))$Mr}T8eIjk+jT-6fV6P(UP25Nv>+z-a~
z2px!o<by#bR*>2zVlMkq1729})H#1t8)O`q-Dj;Bu*s-sPH$ENB>x$RZ#B~bPN^ir
z6e)lLHShBdteS9?lb?flp#gng>Dv2G1H5`wcZ2DN2Jm#qh$PCYgXOlC4Cj6TNw=38
za`!bLc2PIib1NAbOEmi}n$}PqEH8b{N&_sXW+d%{RUw*7b56wD8n)|99!V-zhwhp}
z^Wu1Axck7)T<)|r1a2R?Yr(1xv3H*M-^w6CMU#U4;}mO%?ksn#Fs8to<hd1|l7|MH
z1J}!wt>F-H!t9v~8HUsMb9`o#f$;^Z>(gj!cwQ-?6|h?koHsQshP{@6?q5N@=RK_9
z#k|USfgP&w=v!03vrbVkvi?`*tYHm?3j-(n9aNydXf!B@Aq;;<-R_!C0+?{x$+ggx
zq1f|9Px3#0a25-2-oK{j{bBXbJ=K)pVk+AvM@1e;Xo?kWTg#`8|7x4gN|C@(=UC*y
zaSjlhOX9K>0`N*1Qw*Xgz^i?1<uPt-pc1jbaW;wp<H@kj-#`wgZmm{a-^>DO+iw~(
zTCE_xNrK_yAp`X%_sbt?WP%IFZWX;!u>$U+K3+w)q`+a8rH#dRm9cYca#l;k+TN*^
zTW+pOK&9ZqvA;|!3@!_Uro3hgxcN7Ra_N*fRPERivb1rTLDe*3-9WMcp}Cz2MjB$U
z_i|0hQ>|r2*JeYH$fM?<6_b{bJ+<aH1TF96`DI4l#y2h1AI)HP>bAhXPGP8&jW&Pm
zw!&x{_~{cxGlLK1H;z;euK8blCsT0DD&y7uV9|wZrr_!MaO@nf5JV53|Kk(I1e@1w
zln7chf!)8{rY!OVAec5X{J@<V#19|eKId-&7g!gVt%LYsw^fHok{b(r_|<x@wA~ou
zd#*|N1oDAWVdMxYm=!4ZGvzAmjiJN+@zjq@UeMakL<!Df1OK4khT;SrOpkt6WU%vs
zdDfXk*D-eJYUAM?Frx#bdD`=DIuE3LAn6=-;)E#5;R3yCBhc$3_jm5%fm6DCt&2@u
za6OxLPa2FM=3KqSk^>J!u+Mnb@8N;AdzM-?O@?6mZ!)sXiwA;o{d9N*_`v_ex!q>&
zhOoXMsr=p@9=QC>Bj8vkKYTlt8D2ML0LdmTEDdbDAaH`sL-3^_>}e2Rj5=)qTYRgJ
zZn?q>8$1$NFMJaM6JeTsfwBSYQKHLzwB>_6U+lZNmW4rj?!9n&BMo+qzc@{i<A*o+
zo3WED3QSUpCD%h}K=0WUaY#l0V%ZwCM}5TrhYrx$lxQ$lAsWEM5QL16r+ZW?#G#j8
zS#d`P71CdoMcAwp0;i$JvoT7NFzFL-FM5Lt1@3?QzpV(t!~#Fl?p!IbNN|>I^Q6L$
zw|q|~-wFd?z}MTn)-urE{By`whYAn*`x?dzML;=0YNX_!Ec73Wm7;M_;hsybUtGQ@
zWK>JaSiY5q+<e!RlRxx90Lon)D#U=3ETm{#qX-@3);PlsefS>$0RR6Kmw7bRUl)hX
zW5&!=ri(jqFV{SLw~LfiihfZMNr_5SWDG@yP!bXml@vwDl)gtLr6g0PiVPV-hC;^I
z`|n<RopsjPXYJ?na0OQ!9sDW|*7gP`1BMi#Q#$OmcN+~>&N9FBNJ~PK{Pxomi%L+u
z)iv?>R~j@sVHUSeOF=#J`224f6)20AxflJ12E9sxFCBZOp-Mc9HFUcwbmVMlv5=>O
z!CSvqg08aQQWKc79!Y>+KaTG-M>-_Q`qnwD$iYnmp%MLhH3-%g(V2QchwV12dOM#g
z!0rATZ&?8iDCelPRN&VJq7IH;87qPY@d>fwKO*?bPjuQxYs0_C-HBdAC9r#`lPH!&
zg8s`k*pjpk@Q>)dl;5HZa_{e@5PHbqF?V5BuR#aG&IW1sZQMK8ZJw=`iwX|}mtEc@
zGT;L0`AU#cg}VY@M$%<8VcV$Ey|-s{VO-fpuSJ>wRlP}a(VMiOc&th~^Q0c&4NFBT
z5^7NX5beur)q<2qo!mv?`cP_||FWJ>9sFIdx*ny|Abi2U6nkU<F0YGx+Go{)vY%}-
z&WQ%XKk}3I4;w;7n9P&acN(xR@_5+JnFc;yzvA*K#=w<S&Qf@V2w!a4J}Vj0fRTPa
zB0JCo_#Sv9niEN&mVWfv;SMb*_quO&`;95&RP5UA`j7;Bj;Q433}`}>2)m>nCkFZ-
zB|jOlkYUhj_)b_R6}WQ`%^j8oVCR&H`AH$eSe@VZ3%nE<4Y`!%kqc0hxw<ExOosZj
zfRITY60q@NqycGjh)PbcAT5)?lz!(|EKvhyh8raD5OWZac<T4~HVIsH5=ss)5#WBm
z+2_yi%)yL$x?w?(1d9#t`>HBbU~6F4frS-w$hfcS;p9k!b&dc^ub&dw*kPMgrJ3OP
zWG&GxL<4LZ4ya`ZC_qx0TeYPE6Al(>jAe(b!$GIQwh54ds|~bW(t=E|jwWW<daHpc
zS$(2vzXXg6D?}}in}c^#waRZMVPh@?_rVXMVEj)2zguArf}>+0e1fWwI`yGlZI=*~
z>dp)e`ES&B6fC#5D#N(P!L`gDUikI+!M-H2IVf4XZDvVR0*iv-KZVAeu)ifp-k=L0
zIMB!Q`e8*Fw3T>s+LIN+U8zRoivR`Mo6T;yDFCVP(E5@4E10kL(RycP0DsAQ5BJN-
z!2|OF*};|t>{|W#z|Lq4rqfTnZulb&L%X}iIB9>dHxJ$&HEb{g<FnT315=WK2I4&H
z(`PXLbemh<+-C6a(tjQM1SEj#A=3f>_#4yb=J=>(V+!g&6?~uW5d-N920Qotn#6W`
z7w)%7GJ!K!^wZ*Bh(dfE$BTD6Co#{6m90aa#!!0o*4Mh7BH(#nm)+pSB&M=zHhMwT
z7!+Mro+NPygT#wq${nuXSfD<~0f+NO;N~G49EuBoMy_(rp2%seJGFBqr_m5xe^s7N
zsNn}5(S7ez8fUNq&FyS{s)nF?j(NEKA1@eC3kY4i=CF5-HGv-@4WRW!X;PLy5A^YW
z{m{no7dzujws|<L55E!|hLtqA!C%1S@Asj3jBBkidd*fJ^hPu<=F4%xM8%kO#@Hf8
z8Cr;VRjCJYCwLEJm~n!icaKtz&@yKH_Tt>Ah90D<2D4;e<A9gH#i~s9tzv1%ngTqt
zbb%NsVVWbv0ZXq_J2b1;F=u`8Y$FL>P<4f8U6t%`40LiTx3Gdo15d@F8w@a?U{~#q
zWry;u3frU4vH|{v>GN5P0V=EYYFESA!9(_#+hR96xSK|v$;{A!@1k=b^l!6+yjy3-
zxC19td6X`GRMmmvpCundyVzmd;z;AQpIqR$<QjXfR2!rojAtCs=YV+nac{5dJW$A`
zQChfF8$|OOAE{Ju04wojjfo>47({h(rG2M^iKe}F)P7Fr9Z4SLGus4$;te`3!F0GJ
zV;Or<iVFmbyu*dJ3c|R9?g9OceG7^K=0}&fAbX~F?VF)6*smW+cYi~JavSlr)>Up8
zxXBXY;2{D^-Kkx4Um7^-oLDPY;f3XU`?78GMWM2Nb(lq!28IG1W@e}Opz{cw?K!I$
zROCL(xKynLc=giS_g;Ruo0TXO>n{#N#2D$nMq0oOL&vuH3czi&QwHajge_}rgycp|
z@T?yC<*FqFGd@_2b%hjkN|cE<d1=CwtJ6h=tHRJ#_^)6oS_Xbue0;G_UK6UP`?UGe
zM1WV3MLFt%929PAn^qj6LeFU}>x?Q<@ICwX^_~O;7%}kd@u{Oiil=(u!k^6$5#arU
z;jReV;Tu<H1r@Sa9JiX=hyxXi6jD!C0-aZWyDb~3z;(Uv*2QWGD1H~x?%t*hB7Y6a
z*;c6VYx|>yYg?rt;DoF5e`=~AbNS}iYCBD!dZdsy|CWY{iQ2`cSOU0O>^*+^qb8&n
z!TarHvXHW4>R-pQ8bsV!o%BAd1vkCDJ(q9FLn8g=+n7KN&>~uU%Mob6pCj~Z$Bivu
zWG|Z6w?+iNjx%G=AJL$Y_K<5^ha!}CRjNlulR<39KkGVMIs|7J8759BLDTvGUk2~S
z-rh{P%M{QC=}UiRVgyux-!De!*+or|IV=D6+oU!$YFMnN=&C|^^=XrW?^@t-s){4^
zw+_%p-=$f)5g_pO_U0oAH2C5q8x$+53zw8>2X<Xm1LbPnxWLVH(16Uyd;9dD?rHO-
z=n{3%y;04Y6+{QUsHHK7=lamBa*;UFr~$GZqJ)|nI><h7`@5B92tQu-V}&h5xb*ya
zp897x^xN`XHLNv)*4-EOUwKIavQnvt&NDhFSp14vbTEO1C6zA|v1AYtX|en4Ob5zG
zH=FoLQy6zElnSI!z?W~OMyG`aYgklePA~@KtWOEYvnlWucbMNJK!cE}Nbk%*fP?uj
zEJeOiK&GVm=2nU(XlKZNz*IN(c7@@yqdzDR|MALc$}kzqca?P>t~3WR^tpZOBMOk`
z-k-DE;Ez%B6VLl}Ce-bFzoS{70&nW(*PSxez%zZ<x>N!a9F}Vn_FW~z^wv#FRqs{c
z4SuR~|9d7p8)|U3EhIs*c4I@%q9Ukx=l;F*lL?(ww_>NWh){jYO2jZs4pOZPQ{y)3
zs^iPQJ3KWYmvG(C@~|YlO!6OE`M?C5Gura*;_A>>l5)weSQIV|o-??b!GztBt^GEI
z1lVjeuylr70LYMX!r(t9gc)!+it4Gt^WVFkpQ+~r{RidJo7kCfChDhDQMEGsY08aC
zG+M_5y(X2v+%t#q+NyYlxe|Q(UX9E0{lzY5n~eT5GY6(<Guc0T3-n1grEkk0!|I+d
zH|}c(;LXQ}&wP;sqIPDyOj<XF*PPvKavVUTv(-{uO9ou8T3rcEsl?)T$0g6sVsK)s
zJaN-gNob7B^ZAjF<BuHq`|71IFg%_0X3GI_kYXsFOY?2P4<6oJ)^2VFTl1R8!P=Xl
z#~SYmGVR2d?L=E$eN3U*aqRb`!3K}|EYxt09=zdU3xSqv0v~_<#hiNtAtv^^OYZR=
z+$D38P}E}#PCVJE^h|!x4Ydf>{@sPsI!EJKrHx@<7nj)kQXXIr;$t!ezu>D<i^s^$
zMsVYyC$ngSBZ(G03MwkCII0j67RWb*!S8{z))sb<qum^in`^{>tlnz4FmC`~lWbMG
zn^>Wc>}0xh8{uLRY8?hU3}C<QW8SU&EO41LKEH740q*%?*Sy$$eMt3;Ik}g26^ou5
zTa{JI#}r+-KXtI{LrkR6TIh)-%rDe%xBHPg?7q|YpIeXXfndKysQ`5m>q=4;DiLhL
zmK!Rn^_z9U>L$Jafz3STkhSJs;@plIyh0Ko#=5XvH6#3}>JNrQ`@e3X^<dHI-(@Bq
zGr;S6-xo8#IV@JFUSnvj53BlU$a++f0f*L8?>e5E#SVXxaQ*&s022+wKE6)Z0me>m
z=jZoku*vxj-CHfgSm)izsVOlXnD}PB{k!N4wjx#Vnd8kUR(I>w@`n^{$TCxBNS01x
zYWNqD*Xv&xjK#WHN@>H5q#shQ5z|=5R*wGWjwvk2WYW+wn+~m&=e`{an#Q=YCofL1
z%wQqKkIB_UIvmNY{~UIE8arXIjnzGW7PEe5<(5`K1C3J`UD5`ovD;ZL1f?T?FvY#$
zDb3qx@Zj7@d!1b~Sh;ezx25hpR$Xi7@@#`U9u4>YxPF_#o?<K^M8YCwT3gC~a9k7W
zmi(nklV-6d(=tv!y(NseO-D6ZQ4=(jO<j#W=CIfPImLXZSFq&qG<HX4DqMFdydUNA
z2iw9j{#LtX4dV~*Ae84&;NR*{UP{Pcto?3e_N!+sP|AFgS~E_DYb?Ke`_MdA#<<`e
zA;kufYkt8o#$>pl{k(AR#vH2^9|s6#vBNtNgJr85Bp4mAOR|0Q4||o{cdXxn6L5v3
ztJGN{tT;b(&5c>c@;j1Gmk4u%+2hXYxQ#t@KJ8I@PUtFjv(vi#GB+>W{2O`U<y#Gq
zi4?UI%wNZDd?}TAOyP$Ujuc4?Qw=ziUSpBY!3sMG0?ThN3&0y0KDLq<>fpEksn&4^
zHgM^*r5@)KhKEkC4!p5ahy7mjvKjU4aG}`rAg8YgJUss5wtKf4q&n4l$sXhcu5GR_
z`2LB)Cy$k*`4`lntpD9987XdPwzmF${Jt2}2}Gt3s;a?<)LrcSEWB{iXLI{Trh-o0
z)RB@t0@Qyw<C`bJzmb1uuAL5$g35(GW2=t{P{va9yz{UCc=hvNw$GD+N!wW@y1`GS
zgZVZseL`?uJge~Qx*Q~bVK;dcLI9JeTCBbsxwOWRHrtZ41-J!{Y*~#Vz{x6cqsm56
zNG;eU@Q$Peb6-XU+e-+*71c8~c|r^>XY;Fi6evTcG+7{hnE<6mnw})81iX6tV7r{9
zD#T|d%(-rOLcxxo+Z-gMfOMUrkiOw5`_ZwJ>s;!fD!**KswM-sPN@;De^7^037mav
z?dmXiWp0$=DhHBw-L@CYh`{=+$tB~f2HbdYOJ(;f1&}d4_rtV=46pe<NZlcjz($>K
za@PYzAoe7g-K(L(xU{h}wUP|QpIRLg*OVa1x_?yagBJYheKX~@;bFiOH|FtFfuE1Z
z>&3=tAf=YQ9d&EL{T|_tPkpMe=C<k}H?)!SeyrZqH>N|+{?@7|Zffu~?aj@?Mr|<6
zx;P<QqYaTKc@M6QsKWr^XO!^`9q6w;cQpSb16ZHT8wYz6A>iPDPK$H~tY`R}hwjt^
z&kNUoV1p!}W}Q=Z%V2<3Y9^1OqX9(eBVwN=1&rdUXUT{Gt`$XbCoUO5*fbZp<T4e)
zukTq6PG<m{StI|>S0+&Xl%wA%RTF$Tt=H{k8PH#mbxM!}gXbeXgR!TyAXO-G8=I95
zj2zrKbR`3T+|z_lu4%!LJ1NLcQX95a{bb*gV-AXyl3uqIX>hDA1r#zi^2v|Bpo=j~
zcr&W|c1?l?-OQ*($LCadUK;SA(8dCG#lLOIf29RSb(FoidWf(Zw|;lA&jK8zhx+nZ
zHs05rUyjsB088`f!<Ckn08&5uPES%H!!S{A@|hC!pw0iTT(E?6bl6-hnF7CB79vgu
z$pY*iZxsu(gp=ZBhK@@lK;>YwSwaki1>0pK4p_o5>Dh`WIz$*kLkZFye8BSMM^mhr
zC7iw#-k@Qt4z1em(nQBK%+7Q!B)ilC-WpE`hVCK2bKa{)eJaD)8mr2x3}yij-dh-0
z+Nl7#7A;WK{smvoHsQ{%-SFRIvh;KIN+6Mcdi3J+S$s6g>Bdh66Eth)cWJ*<fOlR6
zR%;C_xcZK>f_n?hLDqU*B3e`ydYRhx40Se?QXIU=Ou-z2ZUwC}u1UgV!+TewZVu$?
z-b!4#2@tN?xO2-kF%Y53g=7_Sp<_E*Z}Er%@R9yXYnq8bL-`guYUV~>_6c?8)G&CH
z^ChfkWD^_-ljF(t=0WXZEWLd?X0W#IFsIkT4L^?SGW_#+(1AjO+7q^>(4TL9fK8Vj
zN(CM_yh`CgAxl<+xQ_{Z4Y_=_TY3%i%8d;Cyq^ax`R^Xyn`I2bjeNKBbLTPc#J8PH
z79Qkm_RGV+-3Z9e(j|#Me`B=a5Z#wq+~~}>ORB$^5tz+9L~?V37!BD>#F=oT>H3i7
z`-cpHV?f^OZ+t7()%M~O<tG=StUo_>w9o)tZ&nl^I2?hCU&#*`zsrU8n}}AZvKxSS
zt7~%2{T6(Dpnr?Sc`mfLH=cOXRUaPpPajgd+>ZzO^*h@i<w9{^FEZL*>w(p>%G+~+
zBe?vFS{afb7dn@PiE&W%;Qi%xy!-Pce#fupl+eccn#{wtRkwBF<`!~1p=|~~#6>0H
zvs_4->xak-Azd(FpSs==`v)%wo$O5a<VNaxI-LVC3`ji0%X3C*0dF~>Q2dsi2lZ?!
zl@R7;z*ty~#B%IEoRql0;#|*zp7@{gqQ~h#a9ma2z0qY{FLRl8_6aZ2$ue6o6V-vQ
zB~e*Drfc|#{!|Zr#D{K#-=P?1YlGsSeWz&KS<o(8ZSLwaKQgQ(bZOJIVc}BGgl+&U
z609}l-{CHRJc5nlP2bU>=;pN-y@hN@?&so*ZwrDb>vQFvu%mR?Y<rcpd6FFkbFhEx
zau!BjTDz-Mx#+NSA+$2ploMT^y1^UaD1s=ncBIoqG}s<$dMGQK3n|gw#;BeWMGg|V
zH}VhAz;}Cyv!Nsp(s^xVCZDw#J<w_K))L(C)72P8Sw1h?#r2=$_c1Z_!PilA`kEHV
zlGB@ZJMg39@|JZI4iZS?N?5L#*oKF4gs|Bt3ZU@=WgoiwB$1-@wIGpvO+eDCb>9Sq
z&_D$xUhAqfN~^VX^w^;Zg<GPZ=Uf*?dZ*TwybsDEZM(stW;RWTvhy9cD;7cV`^29A
z*d>oVp6`)$YNo=CsfX7$4T~as|Fwm?$G4#A;^-{LQYut@yy<C27elzx&l*abBC7Lj
z@e3)T0(%8ldswPC>dm}3mCUJ(b}c<Q`ROASu*3+5R&hy0l`{KSY@>qe#G<xT@Mwa=
z8?O&LiltEMv*~Nk?y4e-%J2VHJT*a4qH6N?F&Q-7KM<$DtA>8e?MkYh(FCR%+fHsn
zIn)pz_x@3sIy(94Re?*s78r7$zGA7afO1gS9>H}D6vP~tGP0(@r5o}XNlFn_*P;*2
zQ6$vc7TEZqg9f?<i@_wK5_0AURumVYpnKnT-AIj~L+>3=A9X8b6dkLuFED|Myl)>R
z#Mx>?v%QEetCtGWTlj1>y{d`K509uT8t8zr>cgO(6jgM>!$|xGk%nHncJRqtF~IlF
z7gqLH1Qf=&?6I$ohVm!xt5~1a1&6yi?qd^bs98PuN{SgBy?(5gELEoms()*eq=Yrl
za+}2Fs0=zX7S1m{OE!R_drE(-2t=e^w$(%S6CF*>FME3w8N!NT<G*tR5_&eFC)M9d
zM*^G7eA&SmMA$@3b$H3h_WXs+#5_8B>890vzQ+U(E)KX%y(6R3j=TL{n9$K>pJRN6
zer7N_Tp8`^OhIpK&DH#}Xeeln^z+U#2HUO_$ZSFsL^V1duA8KVl6YUgvMLAIBtR>#
z{zXBDNA{Gtgi}#i$tkZVPUawd)_^+wm4X&N2AfJNkWqJq%i`~0b9lwx^T|A!g8H*B
zwS5iIKsh73Y9%*3Zj4X;$mLBGv?vqJhm{dfDRyuB<9sHF7aSnJ-$h0)3pqRsUzJgs
zdgaKcZYF%VIGjLqA)$xc`=#3j6;ZN$qKL^P69i6l=6ISDk+J4u@9|n0bZaJZ_og8x
zRN0*W8^EH0`gs_B|6Yird{buG(K;qHvC238&Qn8qp>8YHIwFYAWrvk$EEDw8dauPX
z2<T5ROX%_uKBQ4`IYb>}g3Lh9<Kk)+<j$>J?;FUDj3}`&`6K3V;Y`RgIWuMSe?4#5
zvy7YE%_-R$Z4SwY{?*^ES44teBDQ~Sn88CI_H!{ec$AoBn%`QafU4OJ{TJ^rgfDS&
zyW2hk_?V!bZ#5~4>cihQ7Hn?8`9=5oT;0HRV}#bfOgm|mW69zB#5o)*scssyEyCdL
z)h_nFuM)^N^_&~N^d1XQ8ePBDW(Eo5z+9`FV#tmqYfHUO2ln+tIK5!i6w>Syw8Dc$
z(W5<+#x4`xShV}0dx;cNX!|agzmO!1BC0;hWOw#r<+D5TCS6THt>W54#d`v1^Y0xC
zg^9gbg5WcI$=k+|>e#dGV>ln;^FP^?c%vJWtbX}WrPm084tR-hJmW@hck~RL-}?o-
zDrohVL&*q~FBilL>2RX#JFHd@Ra&tV-lc&zPa1*-fAi7GH8w<J`&V@4b|dC1Ql6Dp
zYXHaBBfi84v7(6WqO*5|5H|F*z<gozMjq>YskVf#;T(~)Q#yTl7~R(8;C`PCuawJE
zv+r2O6}8Wd{8v?gN3pd&zS^t@9D4VCo;v))+iU{<<So?U3f#L7yEF7)RlBN%!C1iO
ze!m>VVw!MU7RT1dS-Ma-#cELL^%rmL&ZuyWX~zp`%8f?+x*#7~tJ3^?4);+A${Dlj
z!R<H?IE{rc;EwgquCAI{{69XQ3YoP&JfNmHJ!Mu0Vi?6l)^{_w#W{bjhMoc3`+DI{
z`I9<uc60tUGr<{L|E<+jMb$9AjZ$^(_?R}VOK11n#!ll?<02-ZIiq+@R#V6UFKvhy
zw|jA)F^%IzBWW=yzwjGwkyCwBbnwa=e-f~18lNw{Gq!Yl3NJjGx^Kvz4wAJ2Ihg{}
zxK``DUj6rJ{N^)8#(!*dc<U_3xTZUe^Rg$?4Z~+~#j<k}8rNyyESw#BEOMh?`=p1i
z-X9zf-Eq%Wg$C8Z;;ye}r*WT$azSkz^Y~u>gz)peTHuQeTUw)LaD&>P-6y9P@IQIE
zmpXGbAtJV&#5A786Aw#JvRD7%RtaSel|59r&`Z2;w0RDXcW`dlOJBje+(u-iq^a=p
zY9+6;;2+$;!{_y@Yis!2=?dbyGX;`Q(eJ&a{>51)Y1G%(SkOz}=i4q8kT?FxW1kVf
zc|0d=XMWQkRwR9B(XxD*1j<S>0WEzCI5XMla%BKJioILX)#yNi&m(qDWBwa+ce2>D
zB*%$zo>CVVH+;pvE4*9Cco`43+tXt^%7qR+^h}MDBSOLQgF~5GtN6&p%tPhhc+lKJ
z+k9WV2E@8wB)U4T<7#|;D4LZY<raD0_hZ+9U_Eo`j;}1}cyjQMV~zsoNYr0?&n0yj
z3OJBNps=CsH7D-cjR+y0<>5~)0_q?meJ%B4COb;^e7W@ANd&PErZ1S~szDyh=jT;)
zPUI#`+IixKDAF-1wlHL>!TJ7`PfAl<C;;3<LlVSLa9~Qp=HCQ}j*RRN>)=6Iy(hZG
z-6YV`k(R_`8(tZ~7?e-^#fNmSu7w{uEQP{8SZ|W|CqVXbuCqHB0%+n6i6<al29b&e
zGa?)aP=3BOa;#Jcu?;nMog0-ys?I?pJGT*_-O%pX5q%M45U1ck4%~t~&JGyYZ1hjQ
zHzGYO6GfG#BZ2ISN+{FyLGg`H0`!GF__1OyhE6`=ICCsp8P)G_+GNo{fGw{NGb1D=
zkc+n!u4=4`?wdH54eP1F?su(01Xd{&Np9ErGfO}fyu8Ntt!iL?*@hG?DuZl(B`Mvi
zS4W+lO-qV7>QGj`GXK(64t;8qy^>Z;MCs<?jcNHB;2fSOL@!oAHVOsv9Z$*VrLU%8
z>NF9Iw#6wc+)+d=)=XaAS}GC`{3o*i5*f0tiYc96P(o%Y!nYMaYoSY)-!F-JQo&>-
zKWOU_6*R#0uqb(oh7$dLfAo2v1u?%!-wJwF(dxUDS54z|)c@(O!(nAQn0UrAd=9Ij
zfj0YVc$+r5M{raN%F_ldu1|uKBkG7cGx4(Vjt(krXmGFmj{(m7CquuUA|l*KO_mK9
zC==EVJ{#%*C1?2Q&QTJw91!7r`G|pHisr7_SsTEn7t5NjY&Uo+nC%|j%0PR+D36Qz
z8$tP;DK#*Oikb$y9_%b+An!|UN7<`P;P>Mz3G;cHsJ5c5Wl)QO+UTQf=IdrKr%|t6
zAF72OJ^ed)+DQl5x_KPExZ#_b(yq75cxWhaQwdKFNgFjBtbKYe*Bl~m?(iui(a?Nf
zhWoz9G<0z9$0fl8Cb&0-l;<hY(7o@RuRpg^(b>QEH)-y%04eXeUh6I`q%LW{pz@oD
zre}x3xJE7Dv+kR3t>Rkfz=*J*P$vPE<QeSm*=Y$Yp`Q}HSTzxwX~Mwn3MDjpl=KOU
z-0)4?icZQs3aSj<R8`?8i@K7J+5fs?329G__?9<v%Xgps?R(ZYqhlR6<Ask}f^&1-
zhm$}=SE-yec?o<-r>_0bWqC{BnV43q+NX}R>N8{d?yTa+9{uoZsj&bQ!ER8qpMauW
z1rAU93;<z3p1<N*!3yRlwpxH+X)q$&tDp&swD;R@_h5Ie<#qYrFoFBS_7^htO6Y$8
z0096043}p-)qfPnWoPfb*EKHgwO!+PtTIDMQlbzM3aPC8g(9R>R1|3_A!Vz6UqV94
zC?hM8z4!k2^gKD|^WeNb?|1JM#{_-(B6g&UZt@Jp7`XS*CE8Ytp%m`J7QF4-Sj0I#
zTgCz-C@xfaHb5tgCP(k>5i6tyw|mcLLCOdmb$DvcBKgr1Dbw3uPSSz9d)N=J`v4bs
zSM$8cJgEQ5CAYU43=nI=FSyPFaD64Oo+!<U(gd0r${iV@&oqVojuHk1D++cDuUJsg
zwL%{Kc}6I1%$`51V+i3-uje%+GN3(H{&iJ^y+HXAq?K%E0Q<W`e<x2+Bd4%j^F{u>
zphL|R^*Bf$kXB5WPUtp%?pOT_`yNJEqJF)HC0h>+i{0nF)|YW(h7kNtG$YumzJD&&
zMS<RqRojf{8T^}Cm0O?$Bk;R3=PL<N09tDnMXn6t><tqHL&N~`oSzLs+;pM#T(jRd
z=5Ki4eW8VDUj|rrJ#OIkMhCKV<+8r{<zvw)<!^5&FaYD9N8-*5IuJ4JtPwcefw779
zpXu492mCpM^q7Y>5Ry;eKI9?nT5xP}(gHnX*~zYDH)sL%>Co7Ajd9F1>X1VzEd!t*
z)k$PEEeJPlJ6-c&78CUU;QvU60lN1uN7`p=g7C<+>N|V^tBVdgN}Iv}_=sn46R#$i
zI$pN%ja<f-+25C1vM@q{UiPbyn;LMTG*0O*?;7@G<zD#X0!HxCXR6d<(|~b1j~Sbk
z4Xl7}*-rS<UJz&MF4(xG4r$d%?%iu!Shb#gV9yyQkT&GJ_+CgI;*VQ8Rygfq9b@ri
zj#y?eKN<HTDpw8IxF?oR^-@8o0DCKM6AO6sG~9F4Q-f(%1@;^cYDgLJ_P=1j217yy
z%}(uPAg{)Jqp_g@u5B&9`95}VZrZ8NKSu`Pf#o{NU0PTpK5;bd<bdjBruFOGWLOvz
z{rGc=4qUOs_Np#UxEdwuMto0#kGJ<xERHb1S9xvahf7?LVeG{=;X?wpXUwl=IvK&R
zGR$3<$OH7hLJrAEkRTu>T8cN23F2EE%4z=Ng-SYMN^!X=Ts`S}XpaI5aC(_M2wCET
zh*MGSN}vkQ3>8n$@3KNg_33i%>jGd9aqc2RmkNZ%Z@P(Yu!CLkdZvSc5I7uTQtSRt
z1%w64_c^n2LRy44>wR7k$hg;E6@;n4WOP7|uNoJ)%Pc8!aEXEWMXlCFE)_U;<El=*
zA2$SsahHA-lz_<t4bSR#lp!{Qs;3L_fbHl!^I-!?VDWf3RY<1-bSbn|3q(Fhs2bvr
z3z7m>M;gTzMHMKEqm*jA<A?5X-?qLgX)ri4D4B6y1!y-k%px5G;oaHLYc{;H5Y|I%
zneJ18J@O8ThdG5|i}&d-o=7<m-R)}s8>9-78!Ibc#zkN`_~qEWMFK=`Ev+mHlc4?b
z7`J_&7_=4I7bpcPfadT`d7U&8+^x+YJa9n*q`1vsZb=a$4mI?yDwAPNHAcSTnj}1{
zXnuYF0ujEma!nWyk)bY3E=~KX6fCH2B->3X!=)4|>7ONP;9GtE<hcfEaMlP2$+T64
z^A8uOMqa9eZ8n@WpO=BVTe^BWmL#BFTFB`7r~wku;bq^2<RBV5+(YOj!9k6*XY@;&
z;GZ#YOdkj!L|qfmyPpi*k8ad>?$-v3MRL}kWAear#w^<PE*XC8yD4m5q61xgMZcZA
z6rlc3f!tC#86F?JyhPBUfQa^?(9~m!Ky}3C-jmn=?k<!`z0;rv^^!@7>SQH2$+j8(
z)0Ye)zc%06xEMfTtbP8kK_w`6iHY1<Btgr6KYh|C4IxY5o#In>B2@YXOYxeKKqay4
z;+Q%BOWWq>TknW~R*etOe^P-G*r*Zs12FJ0D3zm`2wV7D-sLPJ6jbg}?u#&j3*%e)
z$6gU(^8mNGnwlcaeQm#=v}*)%3Q@y#Hbh9@Z+oaIkpTN}-fJH`jN$aPWXH}jCAj^2
zllEYP3|wPx2#L%y2BT+QJ(MX$*ygNL{k|m$f-UtiA??PHc6&iPVom|f8wM|z|0f0o
z#0Q37`iy};M$-C4lRT_nGcKpH6NJnxsXN`x#$aDoytg`*0IsjY-&tJcf#i&I<%Jw$
zPzzd+w;{-Zhee*e1epW;AVFmKv@ztIqEl!tmx0LO^`ZJEMiBlxp8ZPD7)%~KZnZa-
zhTMY+p=Ye9!H(y{M=@jswp=Bh>P?amUwxmhvTPmm=ZX<WE=J&=F3{M1R06W(&$Au=
zHHUp}^HjOB44~J*aF=dW6q>J}>*sj&2V)rh@l+rIK=?=TnH3#jxXG@mS6|(VJ$w03
z$V?Pq*;&l(XQ2R;tK2q-P0YlKMwiLTCoyn)CcMUL#|O{EQfMl#*5DcPN4$*^4B=PD
z`6t05Jiyk)qSSKyJ8nO*Y;II$00AZIJ4Sq5!1EvBxPnFpz9nMXD?Y9d2g?<E9~*E$
zLgHwxqyG<_yNk)#M?xRI<kHbcOS6IyYZ4pn!w$U4aC5`mMGuCv-j<q5F~Le`xN?Si
z8%_tmUWjH<V1%0lp+O9=!Q!pws{0iWeldDGZcG=vmAk#%x#-|EWjN!rZ7r@6T>a*<
zmM&;%-3<D<P7SAof*L}dit)4%)6x2P9Z+_u7`P;}2PD??ws>z{#!lySpVl4HhF<rw
zwQj*(tk*Z@v2$iQ_Mvs|>qAT%j`0$=$B%7c8w@n+X3`B<LoRnwWwsVPE?p)I(QRO|
z^fx+vx!N$zP#v1nj9Re&4oP#1c?~-~Fkwj$>%#hs{63ry(uCJP*T>quR<P|NE+<9R
ze#}<OpQUt210r&MeR$5Xj9Gk>bl5L7gs~oO)?#<m0JF+<7n9vZEH<)?ltUW9BK<y{
zaQUhZ4%#9&Oq3U~H>T8d1!iLy^P;|XjJY~|mdq&Idv^i5*PWmG+H(?9oZznV`K$&9
zZ__`nA}?SWku7eccW1EXnvU5G3pLnetQ)25&SMjIoxU5+%whY*?JFd|lVRw#eU8Y+
zJmySw(p4&J0n?{nL@h_jP}wZ$m?ge|DV{U3J?gQ9*_oUOT>47_=Imvr7k&#^LW<<2
zF~b#Xzvdyf>laDj<udZ))zAWVy5uB}h{hWBRN!sLf6OHKHua3NEMgIxlUnh+ZoYxp
zsHG%TnyG@`Uj4+AhD%tsO@kWie_NO>pDu%X*uTD@Y}VJxEMwQ)%~pGcb};9l)BgpP
zDFdx)plcX;1=CFUV(_7Y3QQ9W>TYZh!RZ=nUWVr?7U&|H>mx!9cdL_v?wJyS{sLoc
zWz8CvU(@^kaRv<xl@GR7-c<tnpf%G$%MDEJ3b7Lz&_VYYT2q-(gmx!^rrT6oSV+Y0
z{_`{pFkAO2h;l#?)&$aHTmNoj>o*Ap9{%Gr+vD4(bxRe1iuI^;A{7-ZzPwoC&%z7|
z)h%{eatd(%c1+J3g*`y*zJ1Wgi4|rCPeoH@$%Ep>Mta`!)Nta@4V7a(?4Xwzc$QUK
z9u6$nP3m;hz_s70u?1F~U>Q*{_~Z=%EL;iHgC2CiQKp&Z+sFkBJ`O(376fQzAp~*q
zGr)-TRd32!9tdwI4Sb!I1Dev6DE>u82=(V^V%Fe;?3-6Cl%L8$mrnJuh%F|tG-%ox
zlo5b^luqoUw;Tkgvp-_eW`)EViThPXLZFvW__hF(15$}zbk%cq$k}eV5SJtZ?U4>b
zca`KoH~#Q}9s(x_w}$5}Gl_$?u}SR}RXLFL@30bh$OZIfa|z1*60mZ}wTjkO4zjT|
zMs-ylC>lz$Ewz_|kz;D^_Q`V4{ez}}{FfJ!CJk<d4@yJ5ZMMD6f*c5G?=6|B=7&#?
z4ECl8vT$8@fUFlqfT>3YVXL16L6O1Vcfp1Lu}2R^CK<|u->9AKscB)T-%rhAs-OTp
zkyJU%8VcZ(nB{-pPz<WNE+4)upaiU6AHJ0ER)n&P0zHYxB!EEa7GCC6hTPjVY^g&^
zP(6J@|Mn|Ms9@&0{8LaBJjR&?NqNd}WO($$TPA5>`#O@<m`DP>O^X=oFRH-u_Wb1j
z%QA2dCs1`=B|~D3m}<Nv8T={U?BNTtU>scPj?Sn-P4-s1Rk9jLs=V0}I!^#3_vq{^
z4RxRj{Cm+&NdshZ=%oE;<iSl;yE~{`9ddMdT6b48L7GngkMb!+@SQ&Sf@G}$`bir(
zaZ}pR*Y~L*wMGdn417ygqBLOf4$q4z8VY>qx?y^sRv85O8LXGjY5+}qOZFwQK4jX>
zW&4V#z*C`sw{;8}(4{+#x;+hH<G8L9|Bec@HT^MYvQ~#`86zf-{QzH#1|OYzqzWqP
z=|?^E)u4+hz(Ca62&hA5zSS(MLgK{yU`{UyiUevZ*|m+~(C4I9>s3|A7#h%i5vT$`
zdwRaB?ixd~Bx_>mGgT0tOvH@q6=8VDG|)TK1VH-ux9op=wb+dL*?Z-nWw!b5F;-I$
zQ#!On%b)_6Y<Z?G^h?1-?cS7X8&gnZ^A5aJPlS}gE&ZuUQLwNSHFI<`1=J@Zm%m>L
z6h(WT+Y|Uex>3CLgoP>ii?C2(X$s&Gnb5YG$qtIL{Ig?hrtrnPoT;#e0A{3X&(lk3
zVCHj<*?gG^s4N*c`gO{}39Fw@dDM%Ti=P`yx|In`nm=h|9g+r8OFMCs6Jb-7SgGjm
z|8gxKQZ1d91a6Nl@#kTqc*R^r{&{O-&>H5b{7fSOho)H*a<8r60)$IVJhet3DLP^v
zc0>dmX??oe%64$<<HMJ`6eGyaVEXFwQvhVjkFV}MN{vqV717te19&m5`jC*w3%ReR
zom0-zBBqjOH3B4neHEBxNCX$$iPRU*tffOiZ)i7IPhn7O!SzJ?C_7|!l?Ns#(4&IT
zDmNv6L%6Gc(#lSq3DjeHHXVoPQG29o?m&zIeD|=>dK5<oFPA@A_)XBG4@;<l{<%KL
zrhn+@ve^Tw8wMIe@9B}6kcYQgs~$AAQGKV-Zem=k&6G`FdZc^HI<1*b52DmO8+)~u
zFoxw+%ZE(#XuAfwRZS>h^?ivt*K`Wo$#hv`dq#(xW`%y0Ue|?O8Dhf2Gruv0m_~+p
zGddLahHA6!hYr}C^tH|X(}GQYzv=gTkrv_G?t$MGbl{vccH_a`M|e$GkvB^zEgGh{
z+;oo7hK#dc7R9_;@%H8lxBpUTQ7}Ux$HuT0c=hg7I-VTB!-*`ex8rCLX~@&}u$2~&
z*8;>N>Hgw1mL`cM4``8azhR72nI@cTf27*?brLr|-g2;}g%%C`>C=&w*95hU>C26`
z=5SqltXW!y4z02oEGj?JfWWUAMf&WE_+Tv!19b)+a{WN|5fIdX;B!J5Mn21U-J_L6
zcWrufc$M!-W4bytkDVFcc)f}rXgJ_)zDkc4WwW$2MAd<M&-<fwgX{RIAfIx)mjPW0
zpPaLKt_F7<H#qFrws3v7r1xuMjA+8U|D~XY8XRbhzFBOrgCDMJ;;<8CLS{B47oXIV
z;nCEp<$gUXG#UQu&CxJs^y_zn?6%84uJ;-)+UvFlRjV%($7orR%F`1o<{Kp7e^)V^
znnI13MPd$fzGp+1zQ-57c}M~|-r=W|?=&cMna?2Io&z1B@mcmYCc$yuEgnNDI#gF~
z&L4Dw6IB~tnE0<x71n7hZ??tLBMZB}*GzF-XoYpGk;PaQtX&Hq6POs$Teg?CX1;Kv
z<K^=ot=_4CL2+Ay-}Al5)U!G9vl1_Q#%iK$pr!)Xe;iBgImwJZI#D~?<?|uL#nZ=u
zl!3JlCBDK~(aD-%FDp9%l=|j&pUMekfaLh^5+>{@{mdD;3w%O|Eq#_BV^fA8_KWq^
zWgKWs{^jNKdqfb^l#e&LjR-rff6g!sb0P(|eP!>s#L&P~o*lE-M0n6L7C<A<jo!j;
zd!eiZI<hE{&ij}MC-hc4G-G*?%f@3-PDe?ULhZGio==3Q%YlY0+q~%K5m~*c2U4hl
z@ys`sUqonjc)ss*3O}k{_s>jPkVbXlLPn32lwnDgfO!}RqB*(R)9Nm=2y}NzygACS
z|I?GL7<OS~>1y5as!I;teMV#v-}lddACI*i*c3rTzIQM5PRXMSL4w7%{`Jqa_MH<Z
zwBo35<MU7Y6$SJ`!uX69Ckb9PsMyEfkw8&%=cT_TE1~w6Yi;dsNua;lko4}IB-${2
zFH$S3jQV<MGM9qLaGGVk@@JnEYQ9T*#__ERN<oreQXSQRn%?Y^ABPMwPZ_(+&Pzhc
zelyFw$JL>9pXEzob6M1=<oO~Hk<f7V+uWTP4G391`Yt_64z<^@e>vkoM)~^o-yVL~
z1bb)y>p8^)l(=$0Jm?D<5oTVF=j&_3EcwVFUB5hfd!wVjm0t}Noc2A;U#A12v2y0G
zmlcqBTIVpkjvAuUzonn;PJufY%62*z6_Ly0uw}Ni8hXOqdv26nADCl068yd^A+olV
zUFHumnp92+3daqAfv(fj^(qm)-=?n)u_B|UlYtiwp2nawJW*YhP8kg`pZ2{MOG1fN
z{@SHs0769!H$!ceQ6a@?!Jl0f<uP4U{HtaJbK*%AS6!5m(9b-&A4NozEOC9Ly3Gha
zw9c&N5S3BuRVN*HdPVfuKbFnS(HNAv7hLbXC!!;(0qG&K1e7(w*m1DZ7^;LUUnH{=
zQGk^vr9eRjHT^J+pV%^n&xTT``4yFrkEiYZhsu&@zFa5XSj+@IT&;6@&!vc7$T$X)
zQbkZi|H=0P5+)GtdPhB}RUYLA{H2$Y;YU^G4)LLMCa|5ul$#JhKo5z>7Uzgu$T@lE
zhf|v|a71XF;#iSI5;s|B^R6<ZI2ySWz8l66aEtG#wZ9CSf-kMb-85)f@VbkXhB3si
zpzW4HDP$=<cVhni297__IrhBO2xL>+l_`fM5plIXmY;PF7h^r-dC<!U?$IB#5`QX=
zPVsBL?HumIFWeqp#nu4yhvN#hD@2f68vDGK#Y^13ib9!;12|`~kU2Xqh{SS)w$~TF
zW23AWjP!T`4p~0w*LL7XgS1K3!QKOyQl*<d!2*Nu-*i@+e|S)pQ4O_U>M(Y=EGVqQ
z*AQyOnf`d@a3M=xxxCl0qgek8|4LP=0ho`d7pbOlpyy*^!yVIO*k9Gt{Atzt5af_h
z+T_WKych!f*Cod>$#qXYd|3~?-l&Bfr)EN(DoY&hzGGNU7TMF1qz5#2=SJw)=#gxf
zr@aotC^qDM<AL;f3jFkT)^9bUMWw5k<r4@am~$of4WV*f;O&nSQRvx&9LX|rx0Z%5
z`l7IFbF{h;?z14{5VDJ3+u66Wnly+B%va)WM|2?i;vvbr51Y6y_il!+Krbfr%(G0k
zP#cbWJ@XEaT*GObLI*BUcVeWD_B&h5+7N7)f50w(8TSr7b!m606~mtsW}f?L0b^8m
zGhmDOwX_+}r!<Y2Soq=FlkJ*-w~vboD$e7=7HfiW-Uy?z;(mS4P!sCQ)L*wX%;2RR
z!TJ8TUt{+AJkgi)HNfHg!d}UyNu2b>tuNd>5pT;P(D+DbfLHxDu`5>NI2D1W?L}TO
zPU|dUV4S87mnxD~ru9bg6Kc82>S;Cj8u!oE0Zw&@x)nCLb#nw?*)9KMf2R=-D_OW8
zouUR)Ee%Y#{xJUdKcAL%<yO4jYCLj|Qw_$9g)ipo{K3T(xET9)I`I2FG*^jfWKb&A
zE=dg=!bMj9u3Fc3;j1?Sm~nA3tP1Qc3EBCLo8iVnrAfWG0q%d~RvrmPi*D_NSN+EO
zg<6Dest)3Euas4jDI{1P5t;7H|BaJalT3r8hVTRa8u2FgRe^Zz>g9sg-?&Va1sakW
z#(!M9Y83QI1(fQhr}oMW;Y?!PK_2>laVlym-S|aisQCJ>wD!pmZg&~mEc7441BiB?
zJr$He>rmkJFzY|~8#h=ish+^uEP`pLJcwX=W#CJc#4w(<SWBCyH;tchvR>WuTnSFb
z*q&(<8^M_tWo>x>%;J&WlHDm&iV%HMm5$5&FHWgnneua;#|2KYoQu^_gkoAX&nuau
zc&~*LHF0tQcXZ^v`aNC&z9&~`ElZ5!X%35~#pz4<jjA1AuR(bj%TM1K?U=ydThq&#
zoL#}|yvCbM_2nU_W`OMVehNQ3yWhdjXAQ5s?tbP>CIJF}=6Ff`n!&XlQK3@$27Y{s
z3;JjXP`f-~`S!sa{v_ReYjk4^ABbabeiI-Ed%yWU;~$&HRmUXE6Vi9_eRc+!JA<;2
z=`lK<=Jbz$iUuxy(%Xab$ajpUkH|uV6Rnuf>=K?Ix_u|)8#QA8a5TNBLk8NvT&Gid
zvw}0RI`>g-&?22{<2kpE$iSCWnFGU**6<Zxo__NndSrdHb#e5c|E;OB`|+R+e7>mQ
zxPBrdvgxU=Bb=88c9)|JWdhr{d!Bcl&@U$BD<QaNh*27b_MCccQ?QHYr(HPb^zZMJ
zO+&Ssa;0GNPnCJF$sSa-)lK6sz=4FCOWJDwd8b_(lYd$VHQJnIy1tvui4bFD#V=YZ
zpgLzTt(HuSG*u|#bqBeTdVfUp=}(f7cK(K(UhqGz9pM{3tip?=_l72KCrbiXd$0Lw
z0wao%63hwI;YaN<vKpypB;o2?cV?<iCS+pAx4RN7i1ehZ<)aTv!n<&Vb&3lsl4;DS
zs2LSTIl0XSS^wt0k_`jBIXO_CicduP9WnHXRN#EbPZF+wmHm-?j}uu|+z+^jOQ2mx
zu7kN*lJFsHE~p8(5v9=obEkt8IyS+M`z%R<p3H5Bb}nAz`Dt`JfLR6|d%obM?=J<i
zkJi=o*!fXNm@9kQA6b+#Jp1A$k2DxEeWpI7BZwvp<<|3i38)~!VUPB#G$^Y|j4$03
zMkjh%JZqK|kd%z0+$nllkh*a~$BbVL{dJKT5s@dNP%G_-WOq5R(cShZc}buM%iP4O
zb1JA?^HOvhhdf-$R6V%WEr~o*-Rk;Jkx<n6n~muLitzTOQ0m!J(&)=eZ9~r_GO|Ax
z7fBaOg#K4=1d6t0(2OjLUu~fpa?Y|d=X6yC>LbG5p)cf+2!(b}Hm;7I28bVg;YfyO
zy{|vMJt~i8JnF0i-e@4U-}M1RU3JJ6n_D(vQACFJpP0*oG?Bk&K+KiHnqd6-r^tG-
z61s9c&>mmcL_0~OZsK!oh!D+YO5U%G%CfFKf1;*^2)u2K?2;7NCmQm1w?qYbwAks+
zvumNu5~_mMQhng%EJ#qES4AP}P6OF-ny8k;Fp%RA27~d%^nZg%s4h42veYdNRK;zM
zJ)Z%XeJE|%+CV}Qc~-yp$m;0V%b^l4QDYeT<m!82hJ?cP$BL}ak&)J5@Vh*D6QKV4
z@LTI|5_%xVb9V=+AniWCbWS=`P<ngN#WI_O?pm~EC#owV{1jWT+bdJ3awd+9DgWa(
zH{G(P09k}mL`EZc%pkMbjhw-!in=1Xqj(A=kbu}kOqGcl5DY@;UPdY-`c4JcBx3<|
z>_L%pfW8^TarEt-d!mHSj&}<0d}c=tEeZ)+bY^f?V6xfZjshYKe!M9&M}^dhH`-HP
zn!*pCxt4l&0&*+4`j_MPAkG_oqU$%w6ef>NZB9$dqPSR#!!|bKSjw>BU+HHiuvcj(
z`1n8mRA^B9HhgCrJHWr#a)iwUj9CNyf}TjAuH>VQ=UwRFt2u$V5NHfO@7zlzRzy$+
z{{gy-mQ28*5GvW+X#`2ygC}MB1kjL4$y#FvD=a7uY?y%&M8>V8@X_)j!a{!ZL2(Xf
z{#=$2QvhI@q^==!o)gWhuswe~!~q}mKPi?;14wUBiZ*Om(5qY?sgt&xz~o}gSOOT_
zwR3W5wxUOxY~6x2;hbR8%$WJd+z{f=e%u)8q(aS&-J@KQoIv%rG{)Q20G`Y#o)G9<
z#bW~EUHIKOp^!#$&E={-G|Q~j^{h_g$}_)z2I+7@iPXfKig$Vt(DmZSMfqMl0M0#<
zX5@sj@gKL(&Qc&sdor7QF$jC`+3U|_HwQ#X^-)4JDNy8nB(Au%8`~$*f4lY_2fVoI
zI651n3q<MMq5|hJO!Q}-nZ^SS2oi{l;_TA_x%&}s#2n_abz>v^Q3?knezoXVGthxb
zja&34+sl|ud|h$eeGW*SFzjf2strU2)<G%#4XiyiU#7N{16Hl>@%V9TgSd))XTQ`A
zHhaOK_{}&6oLC;r`g~mrvS_YeCj6!XMxKr<R_dJKGXF_0i&hJKif*M--=zk|D%0G<
zcQ~O`@v1~yoF<%F{q&xwK@0Red6nL*TyW*2wX8L}CWuXUEgRI)!Nz^(-wcnrz)d3B
ziT$5n@8|q@!|VV9D0@G8{Mv#W>|(t|RMa(K>c=m>pB;?A5p4738!Hc}L{WWcYEg$m
zy4)tt6HFkpJaB1dk_Tj;=3EpxuMV?ff{vv#%rLTL;hHqe3q9M9$32DAVRX0oJ>do`
z>`r&8YOnFZ{{R30|Njh^cR1C56vwTs2-$nDYutP7ec#tA?Tm)BC@LxqNtsC{sqBWR
z%v6YyNZ&8Xj8xLEWhF#puZ-XQ>+{cfKIc5=Ip@6I@21MQFG~#um~gUg3o;c#a=HG!
zAWbQ_{Ccw9Ez$rx$bzx*v%*mLrrXzkTpFhcsg7TE2I$({^v~5t1gG|NY4?1Ufty31
z$tpnu^qa&q>+D$x*H7<K|Lm4S=h=vx8l7~A@Z6|<?IQ}hQ`!$2hXO|83lFTRprg=#
zTYpHH7~+0;8RS(e!ivcCOvs{RD2(G*Vy-xfzi+rR->d}9Yg_>fH|h8?Uo#}pBZ0V!
zMW0n0mEn5K>3#ZbIuzGz9R6+~g{E+?!1z`bobKJ-|L`Fly$QG2!;+-&OqM-ce?S#$
z1hYOLYNX@UzQk?^0a?Vg{IT`sSI4>0$ronxbSM}dGL=q|gPuw@O~OzEbvl`*Aq)eQ
za<3~tWUPRSC%yOm_iEy@%Z;?V$p&!pkc?93RYVDLM}Ed>A*Jv`%{+%8w)$=eEB&a1
zSF$HGxkzoi%RMbsA7u!ay~Fi~%a!q2miyG1UJ5=hE4O4<GD5Ib<k#R_6<n;jd|+`=
z2f@X)I~_k5VL0=)Md=My=tr-5xsyW=Ua{Ac%2SPT_mXYj;b=9uUKv_`qhAkcd|N-a
zhngU4b}Z8~P#yh)jVDAO=;KSj<nq0Nrl7|ZYqjpuz%3&O<6#Rb1hkyB+0UDy{V?zP
z^Ol-O?|Hs-B#DZW{>td1_sl`H=ic~^R|_3-Gmqj5sc^6`i(oWb;GT@MUvs4vY;NBa
zc@RZKvo4W7^v@FEH{Q!$+^dbuaJ3{}VJdc(;Lnn-HL8E4Tvz|8jaSQR%I~k&M?M)L
zX1CP_bwXR$Gi)j7>D;D&fuRReuh1u|Cm7(-Bnhdr6qwUDRHzK-peiMB>Z%nGvaHj!
z?=l5uM|YgIccVbyn^KV66X48<P%E!L1)(b=*1U|-!gl)A5r!BOv2Q}`v?&zqzqg-O
zc1r^>y}Hg%y_m4(I=9NXOdBVI_&f)$tHG^o=%8R46Au2#x4Trd@#FwJkA<i}UHU#*
zQ^iDYOz;UGA1#!ay%X&}qJ#m{zb~ymFkv~k>Yo1<P28BB?;Gxs!?i7~%=jiIUXDM=
zw@uN&ach0!Z5q<>J<8vHv4jZ=vdl3qRvn0xZ<Q++M{e_!&f05C%&e_q7zL<--a_kP
zOIZoo)g|%{?o1><kvY@jq6)X~>yLOo5dvFCNZTK2CRz#?IJl@P$bP)~LCyp}R`4ga
z-){k4S?BbfSgs7UBFU}yCb%JVr!6=+9MCy);p)g&McBpGNO<LPVm+D9c%}oqX?^DJ
z@<bjL=jG}aIM}gEC1=Sohk>`dzL@r;%Oca>s#|tof#EFhZ8&h;2Kt(z<7yA3u~O^5
zGO_P-jQ8~`A8FaxU?%-X%dR#_lpNVNo?JG=NMW`Re9_kMeOTr7T2%tcY`ITw?Vn~y
z6_JacpRDk?yZm%~q8N_1zOgz$OfjUNb<s7{tl+NU?#$E{g$o-m)8g?IBiXgTknNNu
zGN$`E?{$g5cvBzOb;)T4^O+QnFKZ6x{#k70s1U}?W#@XkfoaCtm^P~tH4DhJosWHV
zQV2qA$9Dya%`*Jfh?Gg3Gl$kvoP1KDASm(e>-S%pWBl+qJoM<N8LYRy*;h>wz)|Vx
z_sW*@jDm|<>{p!3kgB~!L9CM>g*#pTxTq~MMu)#nzA84w@J!4FmnJ?u9gww~QeZ=8
z+N|F?6;ou3XheAa<%QGkJI#NY?9d$IjxbL$0oxVfUPn7#=!_oa91Y^Y_t2v6F#;y=
zZ6vC#YIty<p)W1Dh7%pT4V~9sGKNBfx=&RA4>*0o|Eg&%LnecijpQ|kyOmw@-Hkl(
zGdUmNpUw?azf1kLu|`PGo!l_GnFp2(*O&Eryy!h@_dZ?12!g@$9ZF|;AhDRQ@TZjz
zkyp)}o@E+>*j<<~TF-+kk8ZB`o4g#0^FL&>O$||)di>rQYhJiJ?e#W4C5VVGnUQzi
z8G!2fYn|pNUR+B!VRkA&2+xIvyjuJW&@=qx=hN$a2ss~X`=(JC-1<8Cp+W}miyWGy
z`tu`=>qYXLzamI0FP)iqPDlKsPydaaSPn0JTchn-qA*rjyY8wt9bfM{98F0TfREU{
z3GF~J@G-XNl*rOycQI0ddr%M|=9~BR{Se1wgj?&tXBuYecauBz2%$4;ji}8oNxU3;
z@{+hsL)MI|##E><UInS;yq%Ror4-Y;(}xBP&Vr%ao+8*g{AWqLNCu4O37#vhY0y?-
zy#BjmB}RmD@{V4TL-XtUdUH7%UbZkB8+}EQH&9qR7@~k*R}=TUbJHOEzEpL2f*8cS
z<|@*hlwj|mGiW?Zg|m~rZrBHLykY+lwsxN~o(~8AbY!C;=&2;SDU$FN=P@O(svzaK
zzudc(H2CJf^R7*m0@n*iSC=|fNMDe2uQ#TFx+*68f|d-jBFZ@43#nt<e3AOlAsU3&
zbcLuj%i?e!CBfZG1EGtu#ez?1Xt-J7Vj3&YdiUnrl9~t)9*hzar6WvyRq~sCipVJ0
zL-w)mnex+w!vCV_xOSY*8TUX5`UVp#uU(*E&$$|Z3mF4^e0O)MD^D3`xaPLo|I$I=
z;YYk5-x#1(aqGm@rz)t(b(^g+)x#mX4I+K9hA6OL>$Rv>MSo;*&(Q#V(A1w=8k{f!
z_wB`Joo#AZ)*rjgFOdqhgKAlY0mg7xlU7#Kua1#WZ@pjkG%W5MOY}-K!QQ((>(5MT
zfFp5d&SWMHe>@}aNi><_Pg}a^=V?s@356(L?4hAa*yFaYoH?q?HN)fwv@n`4EYGt@
z!-{jsWJs_D{POiT%GPM3<v>St<{ui~4c85B?z4oiy-%P|6a_gSmu+u;#LBCd{3+bk
z8j4jhK84CUa61rZS71fM!B;%nh%y^Yug))!O45Pd6Ka{3ITaNuQ_h0CVDXDmdh4qW
zLT<F_Y)R8YzOaPo`YaZA9?k?G9M*x}wy`vUVjcYL7x;3P#zgJ0Fw(YJ2VpV4Z@-Sx
zMrlUn&WBk{$i+5f<^<`WG`;QHIxS6DwI>YyWw%A%`0CZ;qZGW5ytr^CUk%$RJ1-~N
z*<#;3d-Pfh3MMZ+^-R`P!3uBHCcQ(pc>Cr-#Nn;lSaC}|>WQx+a+Dk9qfgmlShy>|
zW1|+%Zy#%3RU(632W<EwS@Gc?G7=Y9`Brerj?-Nw;B(cgqkOe3zWoWg{Af@e;SymU
z%<U_Y`QL`yu41;}+&XI0nx=*ti7WPD8G;B>_x^adg$WJ+Kd%#=RAIfaWFvHeb)UL@
zo%_R?h*M0o3LaC2%93jiWjhDxZat2sT1;%QyQA!ut^|?A6Mhcr^Ndw<DXSRuz=KQ7
z&nxp3FrAUOm}ED};5_8gvC11TE7x?QQRQGe#V%7=`<G#D=J`N}9XP=*bI!0;8l1ml
zB%Gi0F_OOAXnJYFKthw>^|U*ZI3sg*s<W?)A#rSuGU{uC9NtdBV^_t&F1l)ZNbNgg
z)nn;(F&Wlyntny`$Q4DC>>mzB#b?Gt*Te2v?N(5HNnJBLC<3XwW4b<EZH$JA^=>or
zRtP=V6}+@f7}rLgai2Kd#%Q;;vzXXx3F^<%*8|@LQF;ArxlG=FjO@*IYOQ$|NQ|cs
zmAfrR(PD3itkrkMMDd=z`7`DiJ3X+9km5t<-PDc${5u&LuA7^~*P7!gt-iWJnTN&e
zyPEpcpA6xgtd$lSW{Bo5-Eq=y8B&W9mzANH@hz>JNiLZ}Yu#j^%>*avq&M!5Px#Gn
z-;xqMxyKae?k+Abf69Sg-D8Jd$P6*^%gqGKYfO-_zV=e~19sTTYl)EFBa9T!GT(8U
z2^?lE$Nx36!R}$~tHUm1jH&9CA(83E80k#5<y2<Fz>(NgALj|i--+N&E-P8w(fL9v
zF<W9>YR+0c?KQ=CwYM#1L$ndT1SefyIJ?M5U3a<pbo2~^a*+0LAD0n^8j8Qhb1yPh
z-8tE#|7MPHU+a)wbfh76=eTkXe_UWBi5FHY%CL0BS6;H1+YpX#3)ZgcTwrJ~3}w&8
zEHR7&WCA;54WQO-yO^N0$Y6SV4}}V`BlWYRjIgu;T4c6oM&vCrY}ed;GvmvFjhO?n
zt8?kd3GNH^-?zkwI{)GhUppt9)IaY`vZO<8<Lz%H6gK>Dvlh5~U>Q`YpO5f<q=9DW
z(vtj&4O%z$D_&l~1HSh<-^-5BP`-FamGcNYT6{WUHhtuUe)9wF<`pz-%KB;?V9tT`
zky`=oW&GfCE_nXMn~Jn|4rhv#Igx(O)O|;-0Q%2Im)?4zkC?;Q+n~vXs@iKQR*Nej
zK<xOiPeLC@b$;y<TfYn?4e4{SPlRE<7+n1=L=TCdvIq1MxWQcDvr$_R!SF{{^O_M|
zXx<QanEA&8F4AL<!ah+*y7~u+`s<?n;iFec(R_HcS*Wq0Uktvl6UV#eb>JISr{-<5
z92)vYe<NZgaJ@hv>%t8k$bBg2V3!xftHSZI+pbbb;6J!8$zBH=_?PJ!Y6-D?)2yy1
zWbkxujD3JZ2dgj3?>fb*PvB9e-9KkJAShG1=o1Bkb6Q>s{UTr{9=N*cssf4?E^iDZ
zC{QmgdVR-S6kH3Nu1^LjLG-6Ui1up=es&)03Ca;eN{{LeuPS8>lD0xxJrsz$q|PWC
zN}#r`XVVoWRXpR<4s_Dc0gnZB=<5$jbX2T3#g(Xrv&S@qJ7RU<C>#GeD_0ut?-xtw
z%W8nPYQVl&Q5V1UcY7-)%A!VV--ip&G%+3dl5MF|7Zrj0GTZOU<HQBmNxxm%c#zGL
z@BEq7=QZ)8xo;IwyH}dhA;RjHvc2UIUMjpJ^JHJJ^fTpQf6R+|UF?j$6~)fd3A*Zf
z8^>)_z<#iD^;C#H%y-IcdMri9h+(@?SBNTdeb|mzv$%fuh=1!5)_gX(O*BTnQNs_#
z2b;tGqv5R7u_rHKi0S3$nH?e;=qo#UDfTiQ9l5a|#;zLSG4K8O?wy*jSJx3-r(}Rs
z6Q|t+944q5E%x`w(87^NR!N+323U&S(RS^oDe8(II&*zvah*S6;`>Jfj0~i6Us%u5
zx4%?grp;3@uUdIDrqclDV=M}OOIYGyc-l$ZB^~_ClJAl)G(fUp&dGIyR;Y|WVO;q|
z7w7v8>$|NDSi11K<$Q$=1ao&N&?EI=cQ5fE;}RWncYh9T22lTx>q_jn9&}1%>Nm&H
zz@NJ&Sa~JOPbpS&?N-yr_Z>%gd|&B<8To3rA<GA8*DF-His<8XWt8fjX&p!r8(v!Z
z+TyX};6Q09%kT9roY&~rLeCRvp`bon*52$;cqFTbjX#CS*2n6oA9&Ls!LY-!C-v*(
zZFCV3Izc4+s6fSJ$zlI7JH%OBqK2~OMf|2kp8tLYoJu>@P!VPawhljD{Ln^y$Z;dd
z%~H@hBeR-z*bW<$i;Hyqw4f{QZJ6<5CDI-$W$@V8VYQ1{a`6uh^j{Y}$A5A;R8QW>
zv6;3-p(*VgtkhA{*P3;!k^|mvn}_G`*kYP*TJmw6Dq6lek9yWjF$~;gJakQMv8~l{
zbz848Djy!O95nyMI8rCKhFZ%+$IHuyx7jJ7#i7DaMD8Ku49Cuz=bM?hSiWS@?k*25
z8Qt^CgufBpFT;Dwz5tI3KXvrD$e?z=;N9`1ej;5-;_2zVz^<Pal-ARdNC?XPXqPcU
zWH>&kR{q35f6WWuoy}s1jjG#s_ry4n(%|A~`Nswo=2p5ITUTQJ9)?pWeUjjcbKIHE
zX9JJ*Upp1WgmLRLWwW=$6p?h$;eoKeHD2V&CYSRGAhzRK@HW>e!XP86tz)|t-mLig
zv2G(T%0bb2Cq6}-q(5E~inRoB!M(X-k_(pchi>VFP7-30hpUd)S|BU2wSCVNJBq!6
zd3NPZ5GqMCQ!jZfP_(KxcQk2{5i-ZF`{2nqG0yRGUD76V;EH2r&zD(-2|X#(H+ziG
zQm&OrOEZK2uKBsayh+BuQ<2|Y$)f}>zf9cOF;lesb=?v8Z<JAYvYYuOc7#|h9<cfI
zT2nMFNgOH<9%AUOw-dXo@t07$BW&iGX99VC^D^b;K8A(MPE{`VA;Lbje4<s*1k^I>
ztFVvV427x0*{X^`g6rd8?_ZW)9oyJZ{&?s+qX1Qvb6W-o?zw`iXS!MX*7fk`idCN&
z{yT1F7HIt@yrLu;Y+YEqE8H=stklFPYLSa^H|i&LL<(`r)fvKqSCFUCsge;K9p|>|
zOdqk&ywa<kbqBiLO$yFgKV-NzW$F0L^%4i9F3EdWu=X{D{f`$tk=P!0)$w_8FR`?D
zS6w`7FDv|l8=tp4BO?4~?e}H%5|#DqzdKgaF`QBEdMC1q*c5s3^~L61VsTK#-e)x(
zp_Qu+e+sK7I*j+;-LKzA91`Ek^X&r-GK|+Y$Jknk_`qPc%hi3vgOUv1m_0Py*VFU9
zCi;;`38Me(yxvc&>EHVJbvG5kaT(TsdD@8I<rz(N3BL)p=2oc`ekzhSZRs5!_>XW&
zE%>I~JU|c}lcBz5`Y@yYOc|^DMg-~~-RREzL&&IROe*;4VV&^t;|CtM6M1bVmxKNe
z5r|%lj?dCX$GOxS$?rRf%PQF>ly85D5lIcNydE9g?C3td*}a=!+d3!T%{fZQCC2|-
zudRcJd3BFRCw~%kw^X7ZT8$Ck(p-)oI6*;?Zvivl!7n1?mHQ$0TjPYl@06+jDs99p
zteEKt>LXrRrCJb*lf>$9q0O%)wej)&28oS+zX|Ujd=I5sriePfnQJ4*w2<a-`GLTN
zL1Kde7i0@&h!p-6-;ci6M1TBL=>4}tL_l*?(=0hh9LlDKt}@ZYcQ)0CDU}g|d9SAZ
z2>$|cRR5Ubg}WLMs4kI`3?3zvqDpvcuP+gek*7D>3u{0>r^rWma*W^-9~GF=WhZ|c
z+}@oXrH<_rPya>5O%M(1Uz|59;UKl>hMDbb>UhnYmf-6)MJ(&LFnj02Me4p(qtni*
zp~rK?OUQv$-)WUQgabEevNN4B#;1mv@4Sg>`{#(Yhkji=<;qL8?0!?5a6=XJI*!h!
zvUy^Pce1DH20zJTDonYjuL=RiS+m@=ON2p-?I{r{K~g%blV1N;1&TZ>*9TUxlYU!U
zezN~3L=L__9NKe21(r|M4LMRdNXu$6>CjOTvO=xq?Sh&LmYv?W<<%xGvP*S){7q?5
zlB;TBXh)YaOQ*Wd3e&mC`BiUpC5FXFpDe$tu`Hi?dV~KtD<&`5xK`tM;)n!UZFq`1
z@SHN}zkg9aM)8w=&#ox<s!5Yc*CO|N`YIzN(oMRUQ;@Xi@eu!YRhGPvbM&dm0oFg1
z%O4g9A<}*J>U|dj1@h-FlcJAjm0?IS(zy1Bkbe#+cWjMTA~oJ#q}*cVy)dUXoxvqa
znn?#ooRL-`tqSd*h|DVEs^HG)_!cqp(ALPanGLGsgYb`hFZ@)%Wqe%Mw?=|YJP|{6
zyrWLWFdNyYma9V4TjleGekn3Q$X%lMx+d8*n<uH(t_r2%Z5$uWWXb6pA7X1Vv`NP^
zK9^Gl)v)-Hd-6)DJgM<R@p#||9Wr3*wOOpS2EN<6y;(F=BB|rS!!DBg<g($tstZ3f
z@k#vgJMIi+^1^5^W{ha$`Sb5c+t1oa)Si<V)Kn!STz?&5?xvHyg59gH80w-pC8tn;
zR3ig~*SyO+XFy5?s(oRf*M~&@8Sd>q8YHJ=jG;l2A^EwlXY*TGI%t}l=QyOaNRL&g
z?`2*#B46(6Y^a?ufM<-GiG71M={fPv>9eab>9%%@@dqAb)KS0H*__lN>u-G7Zqs8-
zrgKT8iElDRyHJWJ8^0d8S|o^PM$3d`iaR`{RGVXc*vqVj5PkC7T7uhI%!CY8tBQ$n
zvjTIT@XRKuWLc~I@uFMCWXhYEx*H=lkbmBknzffkwy8BrXFoF{WsjFBm%IXE8vkC(
zEvJzu@9%n0u-}j@EqprJIKo8!Q3(&nej3T=pMQ2&F`XPb;qld-oyGlGokoM7G}7=t
z_1>smR8oG$so|$RcIY`$%W*P~M%Fpmdn$EN$QSE!{gvYF5%9=*eZCEiEc4DQ&`{SP
z*`_xNc5^wvc+e`)){#mU1`obk^i(DVDuoL&tsD@dIiLBkOpjdGaX)G@Rhp!~Ff!1!
zcEFZp8<u2$>yRh6xt>W?6(L3M?^8G?=zyISEgMw2waF@_0h?3`CwXBi=%ROtJ;ai&
z;(nKCl8&zh4P<Zj6Bg2JE1og!;TZ1qV=7Rc%-gE6Z28-6#-VWMiJVe9>~QX#HZoEr
zW5oA9b?TpE=nVudKcZ@fl#p8I?K4W`LXpB-`Wh}2e;o;ZddU`I?N?ry-;pQB4#<2u
zcZ?6#Ny3e>LrfeNsrc(3B26Aq`XNo|3gUTj_I#`x6C$V9u&bnslOMiYByV^ngnZ`H
zR<75;)FmIkr6m!vXmTK2s7M&@YXt^vO#x@~Ysc?w6C|fz7W(8;MBt##MJe0Q!09V$
zyLIe%NR5XgB3XMx@I0)CubJh?#}>@DpMJ?sp5X5H_~s)5dd#M0_Tknj`$YKr2G0^a
z2?Nv7n?z8d&Z}vE-wL8v9!b3m8zJ(77EV=ailB)aajLe(63UI!wps0+#B{dxr7zRM
ztozQ9PV!sA%JOQK;r3$Uyk3NRPn|GoMQgM4Hd=tYUVi1M;3vjFp<|8IJz>0<9LQ9=
zV~!)(7*wg+%b4g98>B`FgC`*F=9h6Z*!;KOOk(W_Bk6D4@n@%nVd)j4b=TPpPbxa^
zJ?ETctot_4vo@5~hh1@#1Er>r-7@arxN(-@`dHe$GesC%-*i28(l7->sC1SO3yfRC
zY1GadVSL=N=92d<6NHQ^&qbVI19d*DaEk!TKmBMg;S@K4A(w5{v^EEfPG2n)JSc+J
z?S|sBNyb?IPtzm2ffM@^&ZcGl5P`0~g_VK4G3MSx_nCPtLt2-;$NfVq;s3CH#p669
zcwDauYU$xdghF-RIbl&0pB;OB+QtYj9uMS%5AovgiSS(FohY=V#r&TAXNZU&CQ90)
zeAs+X_Uq?dF+6#;*q;z&2$$72B>O^_<M9s*;mxVy*j4{`!xm*jY|Cz+ERz&OPWhgl
zrFjxKw=4htrWOOd=vMz&O{{>O-v|BlR!Pi;-0k~)!2pS+9@B@dg%MCZ5RxP#jWlZU
zkvk3s=)b3BzeYm@MQ6>%l|p22!@JsLUcdmGw`e3O%dG^B!d6~5FAM*Wy(<fT&|wy`
zEF@G(6jeF9p2pskhlbQ`(ZEtV#$rp>HyDW_=U_lWjf*0VKN=9ArP0Cl$tTIlT^wJ-
z1761@DWO=#`d`a6I;u-ry(Ho#u(q3i*87?=O3m9&`dy{th=s#SDVE>-k34z4C0PaB
zwO?kax9K>r=7-aar8HKbTJfhoPZc6g)^GPdrvqhwmWvn2K)^)AsiR&E#YcaC_2{AF
zfo@3rQ4={>hV9lD8B@ofA)9~Ess?y$@ssVwdwG=Xw%<^uq=_Ltxpucx24KJ0D3Tne
zh`CE|^8=i<V4Z68N2T2W<<hUxebSYX<dDnG6RC~;=1V(FJPgq&Yn&T!K^X<pZoI1>
zQ*dkGz-0QUA(pla?(typ+0bdjCxu2G$abCED3@*owQSx*zJ01#p|CP3;*&1&bl3Kd
z?lZ>LXmQ6rH#K}cut_DhS`WU~PSy>!Ch)$$ko3tx9lo1Wo)ury2lsit-O;9|n9cX(
z*P&_PzmGx`UVSPyiFIt%WSZe%jK`S@VNH0{7hB~fQ_<#h@a}aFbBv|r6-{<)V)*Ri
zH2X>_R!E)+Pl&R>%+zo1zxT9oHurETnN7vale3+jC6>@(U-vI-wKlXb?+|EbQei?A
zZq*pD!m-m0#(E#L!S|KAwu@EI#Sg7C2PqqbQ-=k|%_(S_is+Jw(?fUUx=Y#S3~&~c
zKbHklFc=p8($Yy6R~3XNTvUO7e;!qDOQPUZoYgf?f&yukx9-bRfq@#Ku*FCUT5ff_
zw=HOaA$xp%8z&Q+3Y$*3uA)FOl(Fuph$dvUhpyOcW8%&2s#M8NZ8#5QWWVH9hokb_
zs{1KSEH*hD-?K>@PR1R|9OEi@c52<hHI+;R{N6&na9ayE13a4aI+Rd)$2Y<26D!`3
z=JMx_CbqSm<$w1~9%o|@sr+eWVqMUaK(bW>-Cz4vAN-WYI^V<mF|2<=x*T5=G^rzM
zT6VvUy9A0FTPb_)Fi~(O)#7%E8j1!M^<y+d@$T-5y!VHgs7|il?VO~F(>;&Ooi_=i
ze9h(#4_zjrxOe1jJ*oolt^-W#XUp-<mS5~>5AZ(#009606qt87)$jkuW$)wID|;U6
zoMX@T(`?906n#-NglOwi8X8nWgCvnCB_o<t-tQunQIblOWG7^k!q4yj*L_|0bzj%>
z^>{vRt5z$ydn;72TsHKI@F_lAYUB1_o(ilTbf0a~Q9(~z#8*j4ZfL~XeC!864LS-;
zswkm8I(A@e#S*NdU-&87L?9->X*h;Y5xYF2E&rI!6E<AW5>=E4gu84c=LO^;@I?Ew
z!^kZ0NWJ#7=T<wg4u*4!>&xQ8T<kaAtQq3Mk!IVlGF!l<W<oJq8XLm}<j*Tl6KDD?
zB3{ke;0qFjl0Hj<$t{+%-gk<S7nLU>U2X7?j`W3%61aOjU=^h`MQGg(-Yl7EjWtR2
zZv(}}A+PfF?7EmK;=_<`u-%9ix{X9L#d^fhxpC*5w%Ih%mF~IOVYwCbSvOW|-KSyi
z{S#hC-De2rH^qHx^DL1YSNPAYLj(%}g)+Tme~6Q@k)?UumT2nm5D0V?#*d#(TGf7k
ziSr_+G^;QR+}z)&v~x@lyl*BdjZEf<+p}BEHJZ#35eyy6CILuZ_)1;2Um)yDU#|-z
z%%LqTHgdd=ALWTocdMRp;8ek~Ya*p)*myhf)(RtjjNBQb=l@=Ut*bJ(NNJm4UjB|*
z$xS}UMeO`JV9JH&??--~%rS-RmJh;8u6(d+YCU&1g&W-mj>U(onBt~J=$hs7d{83T
z`NbT(u!#?8Ys@u)uyC0iQ=AX_eYe#W<N5GsRr&2VdM04^Jo?9A@nMQGOvus{z}T!n
z!}iC<(Edyp?B2tNp_0@ht9C)G%w5CiSYeD4J1w}@f9FG&f5EF|_k`ivw(+TR2OH&4
zHHZ2m_|Z22NI<v0P%06cFA6QzGOF<a8>`<c$+DFMpfvT>{Xw7@_CCxLdZx(6(!CsC
zSmOe4`<VIE<RBf^g>e_Wt5|5b>^NpHD2UE0#$W4-#Bu#Jbo-)M2zb#@{Xjq%r>leX
zH76yI>y)vhLyd(3B@gYZt3+VRczJDnwG{gF9?CrY%7ndv5;gTe6d}h)ZVl8)W27X|
zdg3Y*EN#Awlj>r)vUQW*{Xki`h;Eg#+rotWqoZL(9CVy{woun4A`d<7Wv@IfnQ&&D
zxJ8W9k^OW-WpAqjmaN|3z$?W>rT)Ida{t7UJv8k8yJjiMbPGK0P8lKYk7R^`q9oda
zt*qLbl<{quNLO{M5f&!*d8qhEAw>P;$f*SttS?-Px)vjN$7qR<=1D_VTj<d}O*I58
zF;GewH-f$yM~Ep+7U?I7#UlgMQM7()P)df0Rg%5*4Hx8aUhZS*qihYN8f&o@oSC4M
zs?J_zDWEWTj5#@?iJ-lqkG&HX-{G5uX30-QEZe-bwQ7|%&bS+$oczv&W88%=A1jpb
z>&J~>EhRcQ<Nao#*`0-N>zU)tUMe_cw|Y;j6a$aFirbq$vGBd}p~tMJDkd%tY1r)7
zgHUeq_1pW|nANmA<hV`^2X>b}SO1_7qsW@1*A~WT>TwoH*s6}2EQ8kp3WoTfQhbw^
zlnJcdX3qURpn(R@R@wE-jUf9dE<u!LitYbfU!;_xi4v!it&g>ti03=?^oOPyvMh!)
z9$nKy+omGR`18!gbB&L``I#eqdtqYJEp5bE$$rUgXJWfpiEUSo1+L^h(fWK{2ix7e
z{Tz8&5X`a5S+!t^sS$tX%>-TC_?|t%=4N45H{{UQFl+q%t&{V9H3MFwzp{LrnP{o2
zeD>~(4a5(Hxc1C3FnpVKPj@#H84<}R6<q946loVm9nnMA;YhKKHAdhn;EZq0BXBS!
z+3U|IJ?x3-Y`y4Wh;4lS*<*WveJc&d?f>b)zPLLfX@@>6<E8tm`0a7X;NXqtLwYc_
zNn4TV!@%;%Ff#k3J+7>3&sbZahn{!FcP?<~z{0n^ls#w<m#I4IDz+Y$yOkbfp3=lS
zD?>S7a|cLHKA|q1Vqmw&wr@k6>gX)qp=Gqi0W1F4QA_XXLQ-f)$%~^ZNSH~pW*l_D
zoi>eb?gu)U5;>B$+DH*r+|0m_`y3$bwZxA*O&h6)-ZW_B%b-O)P4N192Z*flZ`uAo
zE%3{ZyB|3!0q6J4Etd@(5c8xw=9Rc6Iz-}W`!Z;-QXhXzAGSyT;oS-wo~a``>tIEd
zx&Uf*U+>?PV~@+K#g(*BH8_zypS*Lp@Wa)r<@ri`ylmbs@>^IHmz{!4zDmy%+qUp$
zEerx~n{!QL|5HXiZTid48&iZ-eU5GNX~3g5>Rj%aBA!pw-uUrqgb1vvU$s*c(3+`e
zRX!yTL-S`0r|f>>-u=VrhYk@a9FPxR;wXy)wH(|{ik-wB&uN3TWp+5B?tT5ax-=@@
zDFjcfYa?v(T(iylZ4sGZ@MEumB!s_-+3`$#Bq|?IRtBir;`E(`(?T1>(YudB%_rgm
z!7lTBo*rm}iBspl@2(WXw~|Y$*_I!O_%NTT9oMW;R-KsDa7q*%(c`UYJ<UXHoobv>
zpA|-PL-=`ng|Lus?zc<0g^-$l*!P=l1rP6paPA}l)W7|b*A(!TnC2?K^Wc~zW+Wd^
z7sv7;lO>*W>2(K@uw%=)9bYU^80d2H%3U6qA4!Rnc-lp*_7E2oG_ioO(Ejs;8aF(e
zUG>&a^b(_??<0dRm_x>GCP4ZvCvHo-`MudVK$I*AIN>vGhW9*(t}I!C2q{ewhq)ml
zBZJmb6J!Rj;|IRcsyGnIe>k?feT4X|@2ZedZ;C5DYEJsx9OyI>w)JQnBMR3Z5xQ?{
ziam*5ZzR6Y6F$0RjN*q0LXO$qGgoE;p2U2wNv?T9-`m(zw||PTnW-oU)i;6WS9N;u
zjyYoIbb0<J`XAzMOOErG+s1G=9hKa#Hb;bT=?Elw{Ux4<tSj-<Ge*>EaBEA<5$dXK
zNg{=FL^oYRw)*ZOM-pl^X_zBccYFxnCC&l<sS0(L6&p(JK5tTP&JjD_3Lf_gUV?%A
zd?Mo&3*r?L)uhur@g}@tT<rxX;yc&M@U3IPeY_$*P;P<PvD{iN*NPi_T{Z?MhM9Pt
z)2uj1=fK4#!`$k69-OoZ%+y)jtE0Br2}{d3usSvW=G_B)IP=P!Uqowh51qJl@p9x6
zh!}R9s#z%jBL#z_MJYyLGF^XhI&)%o39&lURtN%a>DbzChzD3nxma?cVyjlyyq^em
z+0?ABG&KZ=fA&y@D>p<L7n4V?(x9#VMUuE=fHQXa+6QBKAm=@bPXctX#J2fg<}$!^
z$>7q$MqW_iNoVQ<#bI}skCt;lAC%cn52I!LSm$3-sM#n1jgSbjH5~fzw@P+i*(HE{
z8p^GMrJzvYuHJiI4{v|2d>@-Hgn47n)@Zs6EIi1XN)tWweV?j5nkIry&Y0)wy|UQX
z81(y09|M{BuS;$3(Qs_cC@#B09_#3<(p`!eXfI#M3|i#r{9E579<HVMu9W-FHh}?`
zp1ffRdvVN^a{Dtql+ndsrlEF#0awQW0k5kPxTos5-=#|h%Ac|=L>Kp(OVg+0+0s%_
zT;kh2VWNhf<)%;0Jz${0`dVy6u{4mjW#~$#I)--s2z|t@2YT6e=J+OAh%NnmDqBty
zZ|2n-_zvhn->H~a)lMFa_n{Kk3ba6O*|O=xQhhw9-O1f)t_abbXLF8jI=HJVcO+|6
zA6dc0dT+dx;QUX5{4=MEg5dUL^f?2V1?grgxTs*jvp(+rBR#YmhgUy!HbT=x!N-j|
zRgn^8*O<S{0C7vhYYMkAQEW`TmMv66t>#|?0o}zOa4u-iX>S%TE*<>UG@_0}H%nA^
zY-XZ7^?#NpHnI`&Ywoj^ttMh3FZFQfvasbBPkh5=W2i>EC;d*;!v2PLXOfy(P)<<&
z>OErut|$eL=vHm$Y+Go_2xcSJK2+TApcz{FJAI{;b-{3dbc9jO#)tZ=gIsDBuvbZ5
zp|QxjU#~18eWuvp^SJd{qRSFNd#Jd7k$QMklG#5$%!aRc^v&Fd)|eYe&=23Nk6W`3
z63KivDvMM<Ii0fw{mJYDRbvC(t#vYfx!C6p)zw*qZX&?W2<mgKGXOR8Ju2Ug1&$bL
zPQLTN!Se^SEwv4?-G%5Mv1MXe$_fjvAbYqO^$PIX8)Ek=I{UzY0px5s-4eweaPZmP
zKZa6<n5Mqh-C5+Yul8!w2R9eFqrZxC^11<T8)WF6f3J-NNzQ9-GLD$|Z_4u6pgznx
zUhi`|p@GW|4pBB69icRT+P7g!51U^hTHZnxclYf&n;P$k;BFVX{u>7L##v@e5k&;o
z3|MSC<%lcaIVWl&bWxdJp5Z{3#tqfbeH+3Zp?F$Nuk)8SrY`R*`I{{Ui3^iTOtvG2
za@6v4ytL55oJ{V`=EIWSko|&P4tPRdI>?u=fm?Sz(<F-LiF;=(j%prrK-tGDF1pid
z_;6-V|FPN;A}{Y|=^7aa&`h<K%C1yJbrO42<ikf|a%t%4#$0<0w2vl>xGO{U1BXna
zTRpisI`h7$zC9kTtGgegt+?o6wIW~pyU7hf3U05<0G01Cnr6CkaM{+=z}EduUKJQ(
zaajQcjsN}Iy-pghgIh@t<8d-EZ>^r+NdogO#DM%$3G{6a5qh0ENt$=p*lozNL!j^F
zG=<f4XbeV+{hgg6e`s8bwSQ&{v-%HVdA6bmH#(=YCu5pi-MP~2WS0$EzSMIT+X$j1
zukF`-?lgJ(=;VuabQ`=F)4p{%n-__{{eLwR(<FO9c1@m(HF|2I%T{dQf=9oqiCOX#
z$-C0+xaKh{DBHyrlpNqdHA5;^rD&4O`7!(YWQ`>zsEj_J#=peIJ%_2KB@-mq=HE73
z#Vpb6PY=u`rU|~YulVRU$4S-?rLnES7Ld;j>Iya=Cz#!Dj!b8bk-agS`1Bu|gO^x&
zq-OPRg3sKZH$8Wh)QI}LJ%DbGyq{&yI3#}(w>Fz*DLok>Q+(VtZtpOIa^dkOd(ygy
z_*IZ!_VG8F<Kr9h?vp8=R{uA#KmHprq-$7V8$L{$FKKg3!J?NXMU2@Ae<TvVYrVT*
zGekbq59N7KY=WH++~&?`)e&U3?uj3+gCt+*T?-La6V(2kdCKZ|LI~U{kqpoHMS9M4
z^h91VM&r_*N7-rTh*H1Fp(LGOWOnT=b(e08J1!qC&u82v85xl(%2NZR$1eW8_mbIY
zKC13GUh|yv+iL1_oAVbb_x6sMADs=wTisDH+iJ;xO=UiJ-F}gx@=1per?KF;F40+x
z{ho|VJoe$sr(fhH6FatqG7EthWdz%Xn#qZGJrBgQ2FXu}dhccnn9!dvczpf87II>*
z(C<6BL!_-MdqKsD32jko%lrN|^2(8kYdiXf$@T1e>D}o@sMv8XXV0?l<WBvMbM0m$
zq*GspdPS8X_8hh0gZB@zEZ97;T7HyFGk2T5K4Ac9xsO7JdArD(gO?+%RmVu|U8i?U
z&j8G;?5DSCx=Ben?ysY+<0Lzjdhf7RA4*rh?<!00CC~d-o|?&=Am<|wdA?oj&GV0s
zh(^WrlUahPKVM5vk)sQ>ZPMcmWD9A$xOr-TEDfa9xjvmHjZ*GOO4u_HdHDpV;r&6f
z=eGF%j+8&-)iUe%<V9Ts&dcZg<@-&VzWsABH2p7Gbh}wnbyx@N5Bx^iFGtAU$)^f7
zpXbQYu{Qhv=f>>}ZBa|LG16DzO|5}02eqo>calw+HjEsncUoN?C)++1rQC{NLIo%K
zHyAF}hMdy9aW|_;^4+PJm)e3{)THZ;lod%@IFfYOE_7~+d<WU<iubvxfr~e5>v^>B
zTDqmAa$tsBQRLIG<`gd#ATBvBbX*fAvuh^*@ct!JCT1JBllZBNt{*?{5YR+gky4?o
z-yGSH$hGjIMv&@$Gp&6hO#^FHLR!vtERd`|_SsYm5vuu#692HC2IL3t#pe1fp-R1#
zKmYEhQJoWh7Z27h@@ZAm!`3!VD!SpsjW65jlvMmw6?2z5ZWhVfgrDN3bW)$yq>4&V
zDsRdjIclq8dMxa*;s#!-V{haQ&d-vR!RcG~*!^mFsTC5oWD7q<8^P<WI%z8TEZ;=k
zBQ@N5oW5^QwjgzmITXb;B1_3g<{q<6R|7poT2Fx{LY?PZY1p_-fl_CUYiT8_Vedv$
zvZ;bb759|eoc*+vx)??+zm=wjHl_b5ep*eZ_+C1-P#!8&IOEKvLr>J;Vz@4C>yS9r
z>hHkwtVxxcDCNzeFQ{SDu)y!qLP_fBXU)U5d(^2=ong(ho7Hhl*a|uqrK#6Gk9vyC
zHK}bvc|zmU>WCTN5ypE{mePCKd@Dyzn|igs|CUaL1{TU!e^=?2r-o|1$fI()l$qP>
zYk%%*;^D7L21OoAsl3j^S~@0rRIx=`lEA1I^uN5H`qQsWwS0XW8y0Fn(JW$*-Pxyu
zHqyBJw4W;Fv%5+o<+>5ozFdv_qBjE%gP~vcPK|OC?7i4O%A}TZ7X+_8v*_86?{lB`
z*Pt@?##!|Uvnk&njlD$-BXBDzU)nvPNo~&w-bt4;rq*^Y<10~M;g`+$cj0tx${|(g
zqq&d?74b4je{U-r%fE3&+1lw+9D|3toIjaRTv?r&{~ArO+;`coiEj)__RgPeZ^BKf
zhe0b;9R8YN4bQ75`Vson=E=+x%}-6KS<ay*EiX%m<<`|`d^MmdEVk|Nd}2!RS-85j
zy|jk@^7`slWg|)^Z2PH_fW>+K-h;Kv>~LNC<lb$POiCq2!M7pJgo;ZZNXQ5V6bXK=
z^xaI#XHE9ITj9pkZ<6`+U7|hI2gJm;7ci+l^VsyH4i@$JgwhyirUOQ{M1S30%A~Bg
z{u^=UVp7>Yr2VTnNAyHiyfTbuQeNfSM-v<MsLC~*4oVhIcz>@d|F#~J+L&`z@0_PL
zB{jMGZ~Q|i+<zP>b<@F!;s{<noc%<NdN=+$^UOadblu!yQ}M-sx_v#GC6b^>sc7oC
zT@`i)*Ont%ak~0cZPEjsDji8Gq`S8`de8~0#oDq6dj=&Myyxv&mH<Upxghr|*9qHn
zg)SPfbf}W)@DbYIX>v-TV`|#k3H>=S7R~}%)QErQ6{!~$<V11z{D03J5fx<><j|r{
z9jF$wOi3FdM&zzuKgo2&D|X}i=>k<sWTrp*9DRXU^O9BBb;SXp4+QgjWt6E?Ukqk;
zOY^{&k$b3%+X2DP$~tR#6{v^1{2EkPi$3CGtP&Pwk7#PcfqjND)N{@clW8)-Xpii2
zlx_!Vgq!Cdrb$q?7mnrq<Pin`>o~-F1GZ0wGFlzQD0};n^*7iw9Q0lKP5lZ1B_DI!
zN81G{jfZ@}`x<CC&|AD~Zm~b`_;ixP9o!Ugb??Vd^EB8pl9i+H+9EZPKWC(DfqWV<
zUg_CSgTphu&Fyb(u+?<sBf;xa<fjfn3BwySh<&C<Z2x18Qxh}yF3k>-I-?J3?OkbL
zZ7laSGO~v69;+j3tG<#3FS!0z{t|`cmd}N(C@VA$R^EvIlSh*EBPY2pisI5lH!bb4
zC0>=>w0c?BOn4U-im!1OMau4EtyDovbcWoh4D9bF9{*>Zy-!UPOV{>J$Awy8D&XsY
zbnq}CC(cTSv?$bW_iTCh(j4D5ufJZjf1LPNuaUuRC<=AE-NHPE=ICp1<xvfpCd$Mz
z=BFb>;rHJG)~if2-19GQAm(NXpNX~q9sDSYSMdXv-_gymJ=*<vvEMvl5kB}|a2O5t
zUrKxj6HRfLYI4~@aUkz&*EfDCF;sDN_sxlzVsyO0Q`V6a-%Ht98xzH_QtMvT<V6#l
z<jHj%Dd$3Pu#J?f0v-9=p1Xfs>=kL2u4dO6Jm5Nv1oszoxX-he7u`3;hBdpkZ_VJv
zsL2~0jyQ3oo|d?I)y)`b0*W#UqWoaI;aR`nFM;pJOuv2{WTSg9UDW2Z0M5-9yU)5w
zLdi|@Wa@b~{QPJOOC*HQbdP(sC_oCv>$XN15N!0+y;9#;D2&U__pfywmqu{vimx2w
zi@tN~<tABwQ54Up7KPW!ATpk@JieF(3$gL?Pc$)XS#|oElz|+=93H8=?_^=erG3`6
zi~g7_yKweKkvxjGDE^wYV?n_y{a^C}9dD;C)>N-jL=bvx-K1D(+~`mvFD8L?4SMup
zK_!$e=@?X*Vj?!7uQ`e>i4C3e2LAoZu;3|ci0WkGzO`0{<W?yxFK*o(HKu}}dBW1G
z+ZH`6xphvZOd6?@>!bP>RG}GY`-^LFevU)n)qc7xWcAfm`W4hsW&G!H>ogN$YgT@I
zaZ(P1!i9QYXAQ(CSXQr6VqxU%k*{vz3b?a9hmrE1CjLY@yZ8CBV0tMgoaeqGc!&3k
zxRz@{+~eJWWw|UcRC1X<;YtV#`gVN(yf)$vK9m#XVT1ERzW;Fr6}&1?H(|KwV%M7!
zZf|4RC=Ljfxgw|v$<4biM4VxuNW{WpO4Jy|J3HT;TA~K7=jnacul1lXQ+d3!+!$w8
za7RVXt3jkM?AM-2eS903Z>&0Gf;rHyeVkXv=`2mFE<r<Ritv;L2AZPl@)&RVf(FVH
z_$}8i7^0V4H9G2N2H_JM;-cm>p{n4bH2K;H%6^x0|Av`klf<Ti`{P=8+CtNKX~;yb
zW1;Goa~AkO;_!oS+9<m5-=1^pn5fDuExKK2iKp7Zm3j|#u>Wm$%(`GEEc9udR^rxp
z`!4oi!aiLDH;l|~Czy!XReFvdWCQEC^_qr?3@Ayny<YYkLGT8zT2_HA(xn9lA7wER
zwmC(&`kx`VRvqv>K4=F)??UI5vkYXlpH=?%)BxAENSFzT0_hrBw|f|RxO+svDa}Y9
zXPZ=xY)%I->`J?5pa)}eVP9?_11;f!V#nzA$hC@5wO^u#TavtjseU@pE_YEe+iQ<Z
z=OerYHyE%v?eWf!vFPQg?Ot}(_6R$v;gh*|&!%4E8U22BWNoTC9Xe|d&j00wJBR5a
zfzN1o%XL*0FE|VzlU?+|oSD1IDLU}fSHBt4q=d<UQR#ik4oE6=t|&;;MzQEv%du2>
z*mUbE{1$V-b-#TA(#N#$#I`y+IZqmWa$Y<(zwO~YQv0|sKodcU+<6>}IiPJY&7wWC
z$Jm;}ntW{ycy9X6zoeRmIp>LThgf^~_DNQy4XQySphJP%P7q2gFa2D$Jz#c1ara$S
zgzT6uwmZv%b()2p4c~$Cs}q%LVpP!e-qU#H?IoDmvR6tv9?;n>tfqQS373L?G+pGM
zBOYqBoQ`1t+$&}Zf>tPEuK}&QNp6OyOU~TDx<uf=Hvy)jO7gI@SS2G7JV8VkUU+!w
zvmK7uykHGV$zuM4l)ugWQNrPNh2Xr59h|cT`D9trI5#A-q_pEV;k`Ti5zXHgk7=fn
zvO6Uab%l1R|HlwvGB!}%oMnTM9!vi#U&ImKZhv%4Z-}_Qx>ZfI&w4SplG{#hp<{07
zq?yghAtL;Y=3#4NYZ%|$aa~nG4Cxt~n&Q+jArtakrf|_i#gi)I4)%(m*X-y~>$M|9
zX>?#zVv8m8FWWSheicH^rd)y6j8Q`O(=nM*mL-zsrkW$A1W}de)Dt8>PB8X247Vp+
zz+6rA$y_2o?uMCLFRz~<3KJY1yvEF-L?Zk$!3VdJN8%4|O%c3nHp6b6IW%2<Rv**l
zMG*hg61jpIBB0~CT1K@Q4sPnNQ(wjdh0^A_-uhW0GAA))orxKEdhgfEq;exyOSp15
zZH~B^^nCfwTc+4lFR|TGj2p6g$$1^o3q(Z4vzc!yrl_74Py6zK3(Fb<Y?lAwfb~YD
z<(IFTz_<O=$i`z_C@cI~sp-lI+GE$C8%ie7b&Y!ad@mQg%)Qh1m2koGqp25vo-zJ~
zij5m5alz<8Q#M^^ku#0S4;l=NahJ2R&HFVMVkiBZlppb;S0l=Y?<pJWcq=-^HMpTN
zxpQ10h#x}g^1}`8Z19!WU3`9x8+$9(6ED>SL0jFR?a<4DSVh(WE;}Av_xN{1jz<_t
zLBcoA#<6fS!u9z3zdR_+Qd#g=4D^@g2%m0s7Np|uDeZ0Lg+R{%k1)Ca|DV}4b)uGu
z#GdDhr(5~plwJHj(}9kT!|mPVUM7?!HJ6Y6<44G+1IlWP9K4<Grt({di8I?;&wp|d
z#J8&}r2D@};9b-wZ=Nb6+?GncmtQ1=BNG9-eXdgAh_~_nXKw`2x!#{NLIm?anH6%a
z(onBeeE;X2A)a+^N*bLJMZM4Gx*aEFkzta|*tXpej3-L}inoiw%3#N`I&XPozI=0b
zO34r=RX5K$@1ukG`>^*56cHQ!dt+jk0bclUGea(k!yrZM5#3t}5ACkJ2(2{0r~Dh~
ztVRjoLh$iwM-@07{GB3HW`Om&0|iZLQiy+K?esHR6@PVo(>6UffG7XxHt!T^{2u@S
z0RR6KS$8zm{~tE5i>&OGd9Q0-_uBjOa!E!dNk$?H4MksC$S8%Zw3JcNup35ZK5s-;
zG7=J5rId`!tY5!>U+28$dCqyB=e!~wdCU5~kO!%4c{wH1>R_&W+V{4&7?^caG|QP4
zA$}hv<1SF)scT+00~d!aR(**zhe@EoCbFBmoC<FeL|^1aO2XGOO8My@$Y7M-9_i?+
z0jqS2^A8V613Rs>DaM`x!`SnUHDMa$FCOCbI3NRGo^y?-e^iFF^M6{J@6y0}FVkt|
za#_&b^JeUcyDBWEDtUM6(P7`=hvw(n<)Bf(HF9xO4FZ{X>l7B~5EXKEvhue)jPa{R
zSR9~&$pljUuS*k3UL}#eMHGQE=9<*K*BZcJaFKgDwBXK-qdeOfB)Dw9F|H9#1IJfh
zY0)#<5R=|ZDn3aDXTNU)c0@W1=F!tqX}a+FoP{~xEhPvSAD7e(q=V*<4}Y=~^&mCr
zz!*HIK;<8U^DX6c;Jm|sEP-GE$5qR|-z-;#Mz4j>wq0}xdz}(%a>Ec}y+5G392L+|
z7IgnwL5H7)nTn;##?ZwV$z^t46}BDO;p%XL4sTWU8x`tJ;GD;c<ohye@asv_SkyQT
zYDSlJ>>V(elB!l)Pf-Kkak(5BG7Vx|&C+Fk0pjDee3Ay#fKTYc-`l=a&}Ol6U>7n2
z`76YAfp2O+H8$MmL{Wp%;QXoaJTnm8k9*Qe)j%pgyMa4X89rTGqgpC4z-ZFyM1z$Y
z9B&yuEc%@cmu;dnh*ue~f8U9gsVr5f{cxaQNcbNfDu-$54GdWB=1BhjRt1VfoPw$t
za$qGBSIYm50TL03-<n@5!}5EDL`5!XX!DS<`2C#$$?m~@T=5jBr(a}C{UQp%-R^6@
zI~d?-ZWYUJqy!y{1ut9V1>vIJ+}wjq287J&Y(3RY0&SJ@5v6t>c!4*~thqDbqLtFw
zj|Uau+ED6G&65O(zLUEu#KQni!p)5xqw?@0U#YN{%mjsz@7-#jo56>7m#!`O$^nbj
zxzpFj7ci^c;z5BnW+3_eLAmOr42XViU{Dt(v2VRY>te$IYGfUrKxt{v(3BS|4jsS<
z&nE2z0|6>;8!=a(mH_AC-L4NyUt__Sj;9#212B~sNq+q$3Tqd<s1d2v_^|_vD?c?b
zc#xrcYT|}4r16SxKO)tMe-+_P3UW4u2HnS3g?$9U|B;&cC$nBW#Dcc}@D&rd99+rb
z;VS?M{H@E`dp_ZOmRF@?%Z#BWYUc)7oewfa!mD$Be!|If5kk(>M)2g*Od{heH$2aI
zGyUKFeq8k1S>;VNBPh?=ejx1+5lBxo^0kIO;+yK~rQrdFV6?+;OPd1$@_uEj9N_N8
zIUT*`URM}^)U96WE+#fO&NLF}KhcICDLhF?AR2(m4MBmu3(P><N%|C&TZi{$I0Tis
z>BAJJq2I2`1gXbg@YYT}!%ycYH?zIcgWL0ov_~fE7?UU8d8aSw*!VLcLlYrAVA<2l
zE_dTE#-4jpc-5f>>(COcRXwK*<)KYX%(lyzTmMbZ=C&5>WnZW9gCQNb85k(q<-Ul;
zJr&AW*6YT=sC($RjSkeO>iqruW*##cce)_N-j5aVtkHccwZU=8w}5u$4;B|u=NJ8M
z2;-mT`07X127#cn^Vvt|u=GTVxr@yxHgxvSdH1JUz}s8k^W*L;rd3u!KT7+GNp47d
zmzLK8v!l#WhnZ$EH~fbSUHUub*hp|l&eQ}?m0|_U)EUfZ`>e~b@K4M?{c2^Vq9*vf
zRaFf3n!z5Dl8K(Ozp;bjX03+#bod&kpnlhJ279a`arI&540eH~yxK;G4&pJQ@?QdG
zuopi^hu<;gu!k}CEb8iLaI9ApsT9p%tlJFyqL=<)-c6PFZ#mFl)rjZKr06X6;&Zyp
zK>Y&do20zY|Gfq%R*McvWX@vzMiLUD1xr}ONT06N1{ECFYqN}Y&0(QrO@ntOE13U*
z!i0P+Dx5T}P2DN=2fMcXUq|2QDmKxz%zD>f9s1_QuDs=)$5?B%<$a7cum+JrbD<(N
zI2Fs?lTKQ|&U@Qtt$Q*-#AR^}+NvrP?oaijdo5xwLfQq)YMJ4IqmLKCRuxVXTjLKl
zE@7R4l{vYltT1shmspdj0&{iEQ-1qaunf7T?1zJF;J!yfFkw>}1SxlZ$ndRVuT7H|
zJ2MGj-}Ggy@`y5+MVv@0Tv@}m7jHhGClTS894+!uCk0f#q_sARZepiv-nB91alvTv
z>d`7o3Rvvts%U$~1d%}kA37JefVshj?5#ISuw!J!d~%Z+uKf45_gXL?q*NDWjo2zd
ztkT)>o@1<_8Z{-MB`p9yKlL|643c4P=;wbYm)IaG-)L$nV=MgHa<4rsm<;i(+Ne99
z0Ce4Z;^7P-C@CtjkXIyw+RAuLz%?Qaxl3N};t_$~$`0Ly0TN8NEVcf=!v#qv?|SjG
zih+RODqH6x5-h8CH|Y0lfvc&~b*>}{xTTKO{Jcm4U$x_R1FZQVgVZyC&PhRC#WUs!
zKN1)=mec1}`N8O#+PQ7(+hEwOjyxPlg4zeY(qaE?1=pl~qe}y_p!AkcE%FWt0uShL
zT;~#k3DfQB+>Y|ldXV*sKtBm;<gUb6Hwr`Vo$!tAlM1j`zJ2EvAOoe(bn#)fDD2(%
z+Zmolf>_hw)R-<Z?30eugBRk^^&$9Gfv*yL&RcwP`L+^x<qu}Nj7UQ2^@9n?JC)&Y
zR+i+=>lAoeX}bHg(KaATXPr83sS3Q$2mDU8{^P&*moIJckcC3FkMmJ>>M-T~)LeVF
zDwLjodFFkw9DE=pZtwQc02j=@O;Ao94n4B-cal&5$1Ir?ctryhf#|*_TMbbDW3xG*
zqzIu*qX*v=(_wnZVKQKn22%lCwy*igkRn<cGW9?cdRTbXybo!DBxy6nDMbmMZsR<D
zC_oDyFCV(Ko2U&DEcK^9N-0C1h=0>nacvksGPUV5tOFB)R)X1gRUlLJa?wPhHWWL|
zs7#FgJHfng#v>**sCsC(kN8F#)?Vix59BfguRf;yeb(ww?%^GHyHFdp&6pN8?=S{(
z$=#+CK2$JZ%E)VBXv4LQbkomqra&o{lDqJ4kM$33^vN(SSmeti;hq3uXKrV9|Iz?`
zd3(-CFHIm?XO{Q*nE_X;z|-BbG)ND;8$p?;!2u2BM%;}7-EN|3!!k4w%}%Umj-&$b
z+`~eCia9(o>X5DbrU8!<GI-*ORDkwWS~=#eIp|j0PS(=ZfR|4Wt;=PTVaPY`Z>z2a
z@UeWadZS5&0LAQECUNp`_0mqB<{%5ua*RCDKduHD8ZxCn1f*e@QiI*OYyr7(!;bY%
zs-P+Ps)rgQ43bZeUHjo{0TTbMa^QEBp`&cMB*dKuV%~{f-%hdkH_z+Tp;9FXaQ1u9
zvX>d8DDoWqZRX&5u4k0^ngj*!w~%e=zpzv{MoYD;Ih^%h>!VaD0GzqPyKvww-Z~6%
zDgz97b)}X&tx67f%Z9Ezy*q>7eYwZU*nt5VPJtdJNiraN_4i~Vtl}qZD9#0M&EPJ7
zLrz1xBv^!mFVP+`Baw02!`#MZ@a|`k&}B>vXo%vJ63d46r@ojQECQgYbq9w05CZ3Z
zW$q7G35e%bglm&JK=$n;x0O2u;0;NE7SO_hh}j`;!wz6@+kDY-dWHvT3SRGc6-GoO
zCW{yRd`w~eUd5ivHAHCj(^4fh5z&kwc|I=G1SB7^{7UCwgXl|V|GUsYL}O6{mr^r~
z!7}D$>-YFgjOegbBygRGKJxV@^EVrT*^A2^jEN=8qDxWfk}(nSTb7b6HVi@6T&TvK
zXBLaISq?ND;6N)`an2FOhVc9F@PBrnzGBI_Um2<wI1uhn@D{pk05_v9c{_CUU>$xF
zR-UpPNLJ3}id&~XFm3vc99_)BLYDhdulEs9=#_=2MzTIM3M-8kB(>v~Cvzhbvk55T
zddG$COM0Lr@zgz(_yy;P6#iL}Oh9&&{gt9$b)luHwOBpt8*W2(sdPvsptciTJqEjU
z!P({Oy`551`0={CVNLY}L<;yWGFzzw(Z$)EvC*@*d+wv~DLxL=v@H39m8t`41*TP}
zZ07NU{DSW_BREhzW!Bm9sWz|#ub*NcTf~LtJJ{NUiRf7L-}bu-+8~nhU^v!o1>ae!
zEY{gcM6aR;MJAqT!EY^*&I7fp_}-wux1CElQB`zfg_61!%<b&`EF`&sSJ}=m;%m83
z-X-g22P!myCA4_g9s?$%c{Gh!vBZt)9<R71+Gv8UOv*Ktqs)l3Eo0Etg$IcqkX`N>
zrbAQ7#iQ)^S<t0D0&1l1ylCTyE@@vV9Sp5=X6_BKqV~O>1U3hL#C<n;NmrT<&kk*?
zJg?4<c9IUmJsSZeairR~vYrNoX}_xk6A38)ieneiZ7bS-tV2>c;GceXGg)Y4B_ffH
zEQhBtg6ObPKIgDJ4Y;1q6n{zPM5-J~@k5<L=;nf{(*1G`Na+zV$}-|cljbGo=msLF
zg~-RUVxR#>ZXCL}i;V}VlHcViBT>|tUwebEl?v=y;)znzyvS-dB=0#Yj((Lqd+u_Q
z3Y%k7xmn@-=svU7>up++NVb(KnIunz9kkVjl{5ilZd>a&At#N_sWWvw`=t(d*mMbU
z?OPH5cRr&U9T}9La^8;6t`0B#7aMPh3Zc~N=O**YWKoE#(hmJ*b?}moy<UDn7-jC%
zGdeLLhaNl;5o3&~!{iEZG%tuC-mZnP9%Tho{jO^!Oq>cfm(0dm;>D16PIR+em?F}j
zGc?LRLj|7W4eLRe1X`<i%=<P<LPa%?gIZRo@SG;bBg`v>lD(DkryZ4$O_`*qS)K-j
z=X++HT9!txV=mTwA1LU(_J@Jy?KDv2BFNlYmqGOtM6=({D#)VOj8moaUwl-RKFA}7
zJYE%_92inXwD#RQ{<}bjgo&7UtQ2`P)~(`}>8_60?hjnL4VwS(_Hql&RssE9iyS!m
zo{Bz9wAqPJv|#Frn^J0!BBJrM2)hW<(5>EY_RTbHICrAHDDNQ&ZBmzL`UNy};Ky)#
zf~yXk780%d*+NFIpSjfKs?t%Jz~nuq$GTu08*j+|TM2D-FmZZ%jgD@zN0!mJ^ud`^
zQnQ&=85Kx&-&3xmBgy@X35Q|~U|2qe-H}}dwWKyaD{1{#XCw94h^P^ejSKT^eySin
zh&=Wqla9QV{vHy0VGPqUuRIl=sUnTljz$eLI@&51I#FS13UM*%Huo&m(4jWVYP%d7
zTI&9qWZr?ngu{+0*=K4f$?m0X^GgkMqSf?`^Fx4@$3HE7zo;Q6rdnp%=j!O*Q=UCE
zOEW0#;z(`ysD^e|{iu53q>82nUZq5QFoS&}EoNyq)X+iu6lZswf?~Um#Te~ifNs;)
zU*UpkNXOE!eD695<*_Ad)TS}uh-XUYb~jb@jBLustD=C0EXQ)VIvF5c@BOyrv<kZP
zSFrrhL0LoyV0-msf&qSg@tOBsm66BDrximNNo3*l);DT|0XID9p>f+NsK8ca?$TZn
zlwiuMT~Nz_XY*H^_!`N`xHc^3FcLs=u5ax=#4+H-2@d8@E+ll_*QE%2xX~V;(}AoO
z42ZIHQ*#(qK#7_!{k4y<ArbdTHpAa$aP6GaJow5ZSJ|Y~iSujt%ICxcTA~@qCg0tC
zd0G|;&DHpo=>NfITZ=T*mCPVk{oK|8W*IbUdz4?Q?;D=~t}^;}6+rX%5AyyXg#_=b
zr#(E?gXeaZO=s^0=#9H=!k#6Lh{<D$d@H$lvXe8nP#p%n5-MH2s-j4OMNi>Scs<7J
zX(9RKyD4Oa@fGhG5kfwudoRp-cVX_1{S17oDNME*3|qh1iq6*Ykeh>hF}AXq3s=od
zAYIc{#J-0g{qXxPE%Txu6Wx-LoOi|;f<ljXcPa6rtl`8xeGmJw@k@)gSDza}ol@ZI
zq;)PN6BYFRV@EGmXU5c^KWzvlHZs?@Qiv$~@-Yv&XCJUPSM=>Fv<;#2^MreC7CZWJ
zGJi+ejSlRhVEVyt;RX=Q-V_>olojPz@1H-H@D|HCuWx<5LmzU(K8g(mGNT07V<VGX
zm6+|MeRIS=p0c@m?0bLMCVtmi>rjSKB331~IvyUW2UI2N(CD}|ywYbdK$upH3q{uw
zokny)#Y6V!LDs)`-^7v<pIHNLZ==}SwOtp+dIPAJJ}==z9~5*1FLvOre0{C;&van$
zqe%Z-o<+P}%fc$q<s+{3b!1~hQU}C%tnz9S=ka;&%1`$-KjSH77WWS(Xv3{9YSy^Z
zAG~H;n(+YJ2)>!)^|P8q8~UrqJ%4-7;qhVfODVHscxlPUf%OnAQ0FP}GRmICALxI7
zAUyUBk7}-~XIs&P4)3z^1M;)D`c~q|!r%|w?m{-P;({i$Z|Qng-#&w133YTSpZJA0
z3Q@<{Ht5h*HQAq$GlTEUUZdKu{?kQEyR>?)&_Ofy<-6K~8GJ@`QvUhFS$vp$>ZrH?
z9l}G?3iA49a2?MtMpbrya0VEK)jyztHCHF=DV15gh-T}0NN54yHj>8MM5h5ObIp$8
zfBCN}E|5Cs7ICZ6+jGW=8qg-YK`k(x!~b@l<-9z-jPDZTwzz~-VekD05#Hs0@dbK@
zCf_Q4Tk%E0fhBb)^BalZ(*FmyY&c1n+`o<!o@S4<>Zrqi)>eFuL-TmAwBiP_Z4-wl
zwQOI4)u4ghjAIMuA|6jQ;#V?cM%5aX?Rkx=U|L$Z-r~B1pBSU1&E&D5(GI+CkGLxM
zyz|+3(6fxsis)~BZp4N@eLfS-6sQ84e+c5dp?~po&mz8=X?B#lc{XCDTN&<n?EA`V
zzlO6|UUa?M%7N}QpShoCtPJw;)e}O_8@O{{+Loj)PPF24CRn+U0uFb09inZR(4Bt5
z<{8c{=(>vh<K1Km)U&6E=v-w+$EQASE(h@<ufIQ@X5}cs!|rM4_z@O#KW!sLD1jfT
z%yz9!YbybzT5Q_NgAJYMJK3kbDS%kC@vYQ0GMEG?N}OOJpxY^T7^OD_(fwUwmt+0O
z(0fs5M6aC#{o1)(ENPc8;?~Z|J1I+smA+*G{YFlN3lEEZ&=5tBj_|xn8YV$=Zj_16
zZ*C+t=rRA$L>#S!I~uOOBtagb@Pn2OFY51@JkA*`iQYz?ca%*b0n5z0N80}UXy)&G
z)wKy}R42Sj9lJpS5BoBYJG}yE{eBt`?{-;4ew%u(Acq9BoY(sU4hf>4H$%iNU&^6f
z*8*w5pGmNFhvuap+`_0~`h~Znfdaw`??p{(l41X%6C!>VK}kQ)9(Nm5L{!(v4$qfl
z2ou1<Qo6*DUYKKRNje!FC5*BUA5?<tyMv5ZXCzRELK}a<847v~KabHc3b0%()MwL|
zMiSrOrqaAs(Bmhz2DqCtw2d$oKhKsy8u}4Ar+w5=X@#fkxf&H1;3fE;l95AqEjfD5
z{6|F+#up}n{nVgO<vL&RMS0ZIJDbsq(NNTdiL6(rsK61aHC_8t0qs3dGSLQf6v2DZ
zU&e<9DA1v1(uagPm6L85X=|c{9d1rW4gYjt^jZ#Ml8o$1ZqhROwUDRWxyE%zEx2QD
zw|UE-f-WyV$l7SpLQA$qXJ3fwfRlca7T>foQhzWsX6&SmZYGKToFwQ$=tA}g!$TDb
z>6Oh4<!Gb5`5aTTQU>t;<K0;MQZ>Zh_%eY|qK#VL-#4_hGlD9cC&IhFs-pm+)3(}E
z+DPtB;-2^<6TlR_mb*r&DC7ybKDbK@eH69eS!~6ie|lx_P^JdL>>pe@IH-x3BKAou
zE(4@*xfwFdO+z~<-pckj>By(_CvWv1GkDp(msxNd4XyIt-<P$ffv8O-cAwfAU{O?8
zy2?gF$C&*;y*r?WM6KSGnMay~V7-?2Mz{vzlD^Rwe}aMtook+Z*)5>?j)}KSCKctq
z^SpA^NfDi!m)sfUYyqwk72%3O>PUXrfXHGii*mCwm~Vwxz#xz8+%{G<^xvr__U-**
z=(W_RH<JHZKo93ln^0F3H28_#GWeAMdOhrO?u(fPoV@XvZ7G_9b~+lLe*J=gxMtaQ
zPR^P`?GfB3?j9N0rry@ecUi*2Eyn*oi!}%5NLk<HbVamBG3le+scu}McNuo`n?tpu
z+flv@d4x=YM!ZjsW1@B}Cq&{I@ca3F^3Er+Naa9%dz{=NmSggBrzr~qWIY3?bwi}l
zudbfLW!S`mywYxVoi&3A8tGeUpE#O{$meTWXMwiI4I7QW03J8^h{^kjpdAHaD`9Tz
zK;68WE#(8i<ycNPHxfjD-f~$!n<4-?_7=Z<69$LBbXSR6^P{O7epz*c91wTQ+BUV_
z6fRbk^1M;wM(20Q7T<Otf_L3gh|I7F+&5}sm$x9GrTbPM#sNgoed_D@aLpJlk5286
z?Pf-7;(eRj?TFy+IkHluU<@U5T*O;BtGKU!>VL)@L{Jy5`c=Kp2pFbE!n#A}|M|W)
zaYh~oyzjAO=1Ve!BrTDfsfxdF>#c9a%Pctn8<+1~>NEiR1}2g7g~NF65oxQw2?9J1
zv5<N%_5XjzQ{QK=oACwtdr5ol5WpmKOk(YnK76+hwP0#5#SVr=KCW;kfN|-SL(6aV
zAjG@q=gLSArYzg#$*oNQow?w+JxY4udL#Q|ywfQ5?ZIH;UsVFw^_V_=6t4@TG@j9#
zEkCe7iIhkya{_4F&<8S?bRhmrckg@kX{;)Su%A7Y00x}9zHuGZ0qugJ#o6O?Si;M9
zF^#<h(7o0gTQH~%haQ#la`7!-rm1>2x}7*6I@(#o(^(tZ?4agN;u4n2xgun<&H=r%
zOz(L6v_P4BNTqXr1>4Ua@XN572p8Lw#h<!qK|sq&Gq3F$_UZL4v)XD-*zZy$ApcDh
zX3Y=JK2F`hq|(o)3iWe=2R86AI!F_y^W<;voMi$wCD*(=GF#x)#f9E)9GWmW*icyh
zh#BVOQ$q%mdBDvr)86GF9juPBzmxpL0$x4aJS*vZaF(7Z$!<!AQFMybCB+8);n$Y$
zNAQDp$>T<;5gLT5l!or}X9q)flO(rD0mw^9*)kGKgB@?O!dQ9;V9ldca4>x<M3v0m
z$kM05!*<0_D)vMW|5o^t&@Bk5CyB(E0S&0LsG1U(;DjsTS-Ky{!Z7G>x_RC~1JZAn
z)-K-ThNpT@cI~?-0_Q?2-fDlM!moqHo5Ck~V7@ApOIl3~6caXjww$KIP)X^fyu*Bu
zzcK$19~Ot0ou#UY|NLD>WNXA3#1FfCtL)3lC1G4?`=gj1b!dxEl4KbdfOm(2=nkdQ
zFdK3EtVp&x><svLm}8qDIL^txxYsKKCtdesKDw?B1#cEMHvNS_DAZ`*R(?4U9M4Ob
zzoiag?7kG60b$Sy-{Ty-LmoJ{3mT}Fse|}>1BiQyLa39WQAV-?oTw|$ZT_nc?HgZM
z53`7accj6+Yg3A_(s70K;xH9@oX_KLaS3pDDEgY^LI%^i3$ntCRQS%FzYug!3XE>+
zK0MK_1dE)qdxKtSKx^_5HkPDqP`BqjcsMD8e^b_U`92yv(sTBDWG4$6!iAz$!z$o4
zRm|V}g9a>n759l8k%P0V>2te}slnb@Yt#C4Iuyjd`)qPq{vW=bJof!i2kG3eTMzkb
zf|-{TcXyrw#2h<Y?&zcek!|@=JcqS_6;xSUdlf<8?C*NffBk;Nt<?IQ*9K}WyFG(I
zh9(hjyYvYf=$CnYSp27N`<SGU1<;k?+}(|V-5zwPA#v#aVABIMtIC$+K!N#3l#2CY
zI_zo=T&p>&4;v9|ZpVC-LBjmg_lzMrNb_0b3T+y|RiF)D^HKq#^+&9~j}9~}AT|1q
z5xAqWQz4)VyNUawiZbZXX_j=LMau-Pf7xPje_0jWcYDZFRp_8FaM*3W)f5aE6^+%G
z)nKHd_t&?JGzdG9&l{@@a6OW8@5+E0NP6bq{;I11H-?Syb3*`Sc02!Yud0Du{~6m=
zes#FB#zbWcHv_KmCxLoj)SyM`x0P_33h?(^bzuYsL?3R55{g!XV-ZIwWs^!UTQqt&
zB!B_>DitNme^fyl`ywkRMuMaS<*Dmc448h>dOb*46&@HbhB1ugp|_pIl<A+ZbPCAv
z6H-?JcaHNjo`c&UIQK&Br$7JvW{?%v3cE54j<t!6MT>*`_HnH%;|$nT{F=1CS_z&_
zp0&7fR|sqp1n1qV89;u+6+Y=qhKMKXu%FBi&VB|X_TdarP8oAPKduOSkAExq6H0`X
zsM^9PIs+7v?f6}M6`<&&&sT$1W?1Z)^j`RA1}l`!G{qlskZPnd|NY1^_Se4hs8ygD
zRJe(%oDYzN)8Tt5$Krlt#mqY2vN+9P(@RC<Ir}ycdNnO}Pk0!U{NSXXo(^zy&Gw<K
zwIryOUFEf%uE+id0096043~F2)omEY?VUZ6y^n+A9LHY2+bkI+N>L=FUS$*^GBX-x
zN+ePdg(#yGzXxfMkkwGxdu9_}|6YGQ&-1zO=W|`(>wB3sBSr#vT0B$W@?tkgx>Ske
z=fB3k(AdN%MPN|H|H3EMOc2I&INim1+i}X?FDXI!hA{Z??DGspeo)OjW~HI|9j~>h
za2;zi08MLg|D^>UsK3p-M@;V*u6{*k+Ly)vLNg@m-*R(9R@n*v6Y0Nk5@WMLwuU}v
zs6DLLsN{g-e$9!Ue}3V2Z8KC#ef7Zg?n}SThpeE@oc*6c>QDS)o~ZGQGF=e8mGtTU
zAQP}8pL8n|{D$|7^w1`*>OkW2c?IQ*3=lW&yQ`wE16O);Hf*<<4&0QeDn4LE2e{4N
zQ}o3xxU6u_oJhJh%sg^$2|Y^#eHR^Oig+9F@(+ICJfj6RGilNLu5V(IhmNV@Or^MC
zm4trYel3V(_7^XCxsD}Uyfq)w&BW&SR!O~nrU|QoHUHI{u43Ji3Q8H4HJEO8(545E
zCaC##n!TnjV-sF8Q=hj!VSoP{g3u5RD3Gyy84|dNv5!prck|&_ED-d2+s4%)s<xTC
zig^M1aaV#pRQDTp(ng5O;J7-3Ye;zw_0D4qRzus0pMGJqt9$vgzfxh--M`ynZVvlo
z{vr8OVL!(8oV~8oiV6($md-1BbJ%4Ui=hPHA#ABWPrk894eo5+t%?ko#eOb7U5Pgs
z#m-N<U`MRf!0Xjij91$XCf@j}OkQvTV^;5c=GRVvBDovUs*y9;#@g*~{xs8=m-E*s
zddD5zSF|Q~M`v*VeL0494)czDt-d}?hWaH3?T*hg*g&Pwn=7gF*v+l8QRV?;uswTB
zVB2{XE2YEtj%Y4mnHKNkeln9G+_EM4?VdTz{z_2io4<<~p{V8M2|ZPaXFDW!;K>|j
zJW?sD)wGOF7f4_9J5K_GFqP~<`+00_yd|@}ZWS9-(5M{CQ-K4F9mUx)e=)Q0@A6i^
z*RiQnvNzC>G6)u1iwg5EU{{`5C{@XBVz(Q+(l-^Ap+jU(-EoCQOwGDkJ~VS1!`?>j
zEe=qE4)&LC2Ar2LZ$Wd>a%ozK<?qoS{Xm5H!21KKZ<jG?;n~+eZ_|NEmM4F!BoUqz
zOgg?ZUd3W?{$t!k21woYBIZtnB9JH>CfMQ{HlpqNer|vfuIF+thK~}UT5H4!>)gO-
zmbO?t-Z6t{5%bml!vy$JG8`B<vWZ<WYwLLQl@<Dr=(G?%D*$76Z|ij-8nAl)lcdGV
z0qSlKO#kdxfZSleMz>?MkYuj;V>^x$#ET@tpMRAHlC4FW%Nsgy>C!)WFN+(_oh$b7
za+ilbvpHucV1QS5hMOt`c;UHG@&`Uzd1&Q6za2cu2yV-AZ?G49knWlKps!F4<i39?
zlts+ob*z2EDnJ0{rAE>%Ps+ie)BPfB^{in2BEg>hln`vb@4hS|F9$u0T=^nP>`>wA
ztX>`>3`3S>8Gf6xVA|Fo9e08g3Nm7H0vknOzfNb(w=r4pQmQ=C9nKAH(zgyc8;e6)
z<LSGHCuO0pKhTnSjt8n1It`OAOG3ee-w?zi2gf~wzh_1A!EAql;>xTPWEjK0^QLmJ
zODm(ZT~h$YEPt5uMah6e>*zn8$8u0-_8(TuBLw@rgPS+Va=<%h!M33+59JAk9NPTC
zAn1`_zOW$=bmceyMGeb?T$(N4Q%nSGKFjAy^b=tFy>DSd08~J$zo!B$MQFMHNfU$S
z-nk{^UqpEK-e-R_og$=+Y3BE_O2U15SLewIWoUZel*<xG1U1*joahr$5Ih=nt(Q&}
z&N}i0wdg8?`#ovBsRn6~&v`HJnm~rwZ|zGAM@T?ebz3jhm4*8JguJX&3WPkP{l4T$
z2JQ_tA!@B0{5r1MTph0lt9oLR)7=!{=<XFbW1#@bvYf#=9#m*6o@Lz?Oa-1X>C&Pu
z0+7`VP8Eo$!;gX9>!#KkaQVmPjc1NTkT|>YL+Y_Q5K>?I-aeoO;}(Y3+`lM6+;h=v
zt|@g`l72qr9i#&bqcX~;<W%7Hq{Cb59X}dRt9%M?^`QLM)r$l>5?rbGf3u#V4xFKq
zM1OWexbahvXJEf7=pMRiOxH(++WmuPLlgn<`cFbKG-Svai!X}#ss<F=Bes=>MxdJO
z5oxPV2JbM<Pp#e*n6_TvjnFj)X69$jO9ngo)`BfZq$(tZ-Rf!PH312!?|Q9!$nfGS
z&H1h}C3r{4PK?7%;NxJKuG4K*;CCoV_Rds*py8R%k$R?};t<@)l0$-A<b3PJ85x+0
zbqgN7Y6`r@!4A=mDqwTOl5HbJ9C%gPv*5ld<ivd_|MOJ|$UdJvs~ZHNElQeqG2Rq{
z{b#d01&Gk_OgGTVlnb)N*OV^Vn8Kbb5iY@G0$e>Ao;g)O2d}5)UfVC30OeQXu1jk2
zFvQc+Jm@ovaqyQi+QyiGN7tT;Uj$ho@N`M44cFl;RZ44xj3!W6<*@ctLK?;~Bz)o3
z9Bw40mXsH24BU509Ooq^VNdw0u`c$1cw*j7%F$UPNW>b&z0Zn5<NHtoZcT^gjC_CJ
zcQt~be{?Dvb-TeaS`iJNWkflL?8nr*0c?1qHaqPEfQhw|qa}$M9qK&)bHWB-UOJ1F
zNtPG9QVzSrJPQiZ&iS65fq}k7pE7=y6I_plWIeBDMbkIdo0}dO!iBe??ex1?VV?6e
zUji>1I_cP{m-*5F`Ul`;C5Zucozs`yE6j%aZtuR@(ykBQ+6ta-soU7g?$NZuaaNSv
z_4NC<bv>|AkIxW%x`M4gD_Zx@U_}?X7G_vUda$=CNdL^OIqW*oEP-8@6?rrJKF|G6
z7h+yN^X>>7!g{e$Mv3n%sL%de^U!l0;7X#?h&29+HKOmsc9AToB53lO+@?14RX&WG
zRDOULNbPg()MY^}=6-)Z+G>Nt+RfT3wNCu~gOG+cb{5p?zsGxDu@+p2+g_YD8^9U8
z1ahWVnGwxQYN8sK77V&;7E_*%<5+q|)&oWsWE(qWtQe>XK@4Sf{c3agRL4EuFm)F6
zNUrN~-;f3*`aC?%X1RbLkCEpKj$=Xhz8O%&j%vW2MAa2trDa_AVPC%x4J+b3bD8v_
zO&vo0KWB3Ht>Q7Z?Qz*TtY{KNAB?b3hm1b90@Z*GT(jMbjpE6Mrn59l{M)JE#PB1<
zVQCW=H?T>YabQP5Cx39oAEUw?-{}Q?4H~pR$-Ri_A_r2`7t5#}QG?SiSMA5WY0;$L
z6Q@tFccG@TyDbXAY7n(=E|jK-4iV{k*IuY_A#DBg^lxr85cJ!fmo!I@q}Cj`b<c34
zKi953WiO$C(A5L#=YbI^uh?>I*zzD+o1-d&2PqI~_QlsEhY9uCG|#CV=0&!><^hFk
zWH3(T*^|k=GnbgK!R-rt$a86h`DFnaa-x<?f2XseV%7Znl|}r>(qnS@v@;o~yW>^7
zwAoR?`hwvzdO<Yg!>Vm0LI$}1{`>VM4z$WARcIV6gm$4vSx<3Qu(J8F9{QCN`9{1Q
z8Q>H~(Z`5^509xrvc?@B-Lu?Ch04D<)VK#R>78?;Wm1Li#!XMlP#&aFi+M!lh@vyw
z4<9^uPXet<o5!n<c#&1reY2V@ab*1WrQXB)q#a)U^W#-NA98Idr%Jg<qUXk%bC(iG
z;B>iiW?WMMxeQH?NkvH^Gf|rJgLg^rbiZd%<6}YOvXUJlS0#=1F5dB`Zy-VWr^o5G
z%Da(YQ$s_<rVKhDHCAH5r3%k{Ohc`|2&3!1)yk`Oa_F#a1XIY4&k<GK#Ds5%pwj<3
z%raleBcJ%WW9^(|XwnXUk$y@Hb=g>O-60Ur&%Wz<TNlX?wl-PIVK0Hi`n|4jK2SuQ
zF1nRof61`mvqKvtl1PzbqIX(Y33-?e-zMFp0HtS_?nJE=a@$8^SCgcSI&CEHDVgl-
zeYKaL^_w*M@-Q_$c1;D%j*Hig@1{c8-4_;rR%DRvUTeOO)~ZNEKp^-yr#fVhYei^@
z$f00{S1;><jFb|JIUdVsfSnXp$Z05#G>F+X*gG<!91pGf;GhZHBX-FNP6~*j{Kw%|
zA_eLDD_QvzXhB*-`Y@L_0S&~P9&0{NK}K%jrg=O%5dA@0z`#clLFTL11F;lzA%E9o
zQGza5>pl+GJW52}L0`sleJSYo=HSvAzdmebTK?#jQbLjD11_uz6!f0(+5AYh0c?Ep
zxU1BtggzZPl_6O`M!A<=Qw$|ApvLu_&(l*zTl$<jzs6J%t=^kZJ#&D^mi!|h!<A93
zY;sw+I0@0bF=F?e2DsxFcqbx38F_r*P29h!gwFrNpZyCrg64aI)e)zZkz-9ct@#~A
z#O7e{Ub$uj{s}z4uWl)!j1xk9@>}w#h!`0g>tGCoz43EyZb~Ts@>a+LOIg$!z!lV*
zZVXNb%V(F<h-d}3FG#s9h1OGwhWx6Hp^e4raMxW$^fK_$iqC);Qhv;~Sc;6H{It`J
zxc~xEa+;8e@86Be3+=}iij3iM1!ISZx&q2)9;<3G<wvLGQ<nXrj3Ia???BQ|Iiz5t
zUfw0ajanN`czR5YVbVD><f6YUlDlE{M0JA&6;qYEW>$>A(d)%@7?TXDd8J^7*V7^Y
zPSJ7a93yyKeO;vJt`z$C+&iybasxl`gZo^-PL3xJ63SR8lIVi+F~AG|;>Z4Ex3GT$
zSha~P*C`Z3FF1dkbetH)n*xt{g?Iz}HKL1Y;S@n-U*soxO@87oAAY>ap$Fi$R-rWC
z-HnD67=I5Nf5iW_D9+bYFz|c+D%sgm5cO>r+oX18;2M!^9tqBdK-_iIKv<C<&EID}
zZ%Qr4>S({2vL+dTN6GgmWGXKTSaAH(AYO;jck|Ipzte}NvYGO?JN}SeJDc=~y8&Bm
zE~UC{=|Pi2@s*MEUC7YRzGh(?VG6sWfAAXW!PbsLzb$1$(yHcv_vcq(4Fb~l&7*aJ
z<RP9TxQ7Lu){jPeWOK3CB_8sNEjrL#SWSPnl@aa#b#XF|^D%z$i>%|Om<|v}^H|<B
z(<7ot;0gyB$Bov61a&TILs&ci8Fn^0#J!b?NCM6Hz3hv6!7W<wIh>_RDuxEVzs+=i
zJEH@SIM4kwQCSN<U=bsHzFT-h#I@k}ecy4~lK3~4$(q2N_*#Zm{~ylxs55<0z7JQ(
zDld&$)qp1(bF+Iq*71sy%YrYx2Ju}v{bvO{G{EMr{UOQ0RXnR(t|R>I2<~8C@~o#z
z9a;%@3ld9K@V9~T!|B2kxML_mvUtBb9GcXRDn!e;hFDFQT+B3nCMZ(lasw6exN=uR
z`IhlnclXf?k#o2gd2vo2sF3BZzV<VB3BSBKQ#NP$7ta|gf0vDR@<_L~%E@yHuTH<_
zzDI5mulnh7q0Lkc^p;f2txqoD`VTDcUF2TIi{5<RF8;j3gT*4^mDiT=v!Sg;BRs3P
z2kmB^@=*#{GvylW>tDhp+9}jGD(m?6R!M}}C>fpyGah#ISjKy5u*u{z|L~8-MdgdZ
zWVm5Paqr__!8It_6z30HxVz=%fG#%~Xu>pidCachA|7+qub$8#uBV2oy7sEDeW|>e
zerXk_=ViH}OHYSVoMf3SlSsgQ=q|}!ejWEw$h@i>OpjuC7{flctAN+#38~7f8#uek
z@7cc`jHv8;Z&;s*3ix-4?|aU(i7$BKCf#*Rh%5fhblZ7lcyXl7{#xr6J|*ZWdFvhv
zN-i_?n)sjugj-?x5hrO-`PXcY-Pvpiv!lIti>L(2YCY(gKP_UX_e{Fe!hyK;)L5<W
z5TV;cnt_l{hvt({%EyqnkkHRZA1c_1pdH2dTzG{Z8P<P%(>lP7l$ZQ_lW!;j&C_Q0
z(H$<Vt8H1Cx8y~s7N>HW1r;ImGV78KEi>W+Lce(zAG$?7ARSXefJd*5k8j{C$XcBJ
z-_=L~bo78XE@)4H68nN^`$9HkcbRkIf}Id@lv3;$V<o^d&noFc#DN+U{%ZWN7Dksy
zIqY$*3UGZjd@Y%k3mF{@aPhw=f-amoyC<_y0aWwVUyL+xBj=Et;cf55kZ#A}XyzS$
zcPj2+xG%wrW`0LE2+2tzI{gXV<wpu&l8;~inZbuHvEFoj8ZL!Qd9-fuG%G;$tC(9c
z>H<i#u9M;Mf;38|8r0q9Bf#ahBgaq73!-Yv*Y5O@vdBa?i^egE0GYp8V7z@dV&RP{
z=2nnLAM3V1c8V&(q}o$P+nznhs^|D#sUZb)BbTmDXj~C2kF3v9=){l_ao_oa6^iH%
zLe$!6B0Ma;;Bw}W1bSqko2YU}3EgEPcz>iQ!zsHEqUWF_s%<a0<`$uXc;4aL$KR?z
zMFH2fK$0}N{7Pcc*-I70Ge1{6leWV%y*;f*<7Lo*P|E059vQg}sWY?ok>Q!w3}Jg(
z7H!Ixl9jJh(ANXkW$C5WAZY!C3Drp+ZTJhD_a0M2WgT%^<|$N|p;`QMu1NuT^%{+y
zW2Yh(Qtt<S6%BZCBD3I)x*|#>E-aa+QPJPXO`Lf_6Fx8}G=E4Tq8uCjMelJciYyH9
zS?Se=)zdVwi#<wc_nKbAQ5tm=q<f^6FrW)*gTL_Nf6C~l8jI6PD;0g-YwY2<tPdu#
zQGbUQRZu~Hdf%)q6&;x}?+;+Zpp~DTSYJUxlr8h<chPEyuAz11Oe_HVnagLrG*pqk
zkSK4BCk4#}F^7Z%7{MiZ^&_J@bLnQ=_;HYtjP&yeuOcjV@-Em9AGK3ON_?vyKD8^O
z(_-f`-mDu#d&f%nsYw#r_dUHJ&rA_rOKAG&7i|I$FN8_|rjk$}lhDKGH{=jw+8e8o
zJ`=cdz{Aj0O$A+_zclIEB!vt*E`<d0m_mhX(F3MgB_uvL@os&;C~Bou5_z!O6c*1?
zZ|(CZqT3nU7|SIA6nr>Ne*d}&G{cIl)E5GJ8ZIqu7sH7P&)k$(e`^9CB&wyPSQXHV
z*SySvne>P`-=*$@y9uyb>`%EzkwfX7HG3;!7jgYm8EK!L_p2zKN?t!CgXUPTD#~tl
z;GL6xQhd?I01r<^><yGc56ucYI5mD_6WmSjKG7S4_>m{2E!Gm~j_6DPr^h_zq_*5s
z7GVU!;_O^>?IP%$TxFWsuT|{R{o%R!e*no=#WA8$yOCb^Iqs~3TbR$|V!GDL0LK3!
zA{RXc&`{f@Wg-VHgn4kW=d57xW!Jr*&tiFz3>KmC%Y+VI@!oT4q{ZMIdCpTGaUqSK
z_Vn6CI#@0G$;2UG2;5_b?Q_T25Y<HU=s}DgJ~=3z_)IZ?V^xAZ<<U&2Ch{Gh%8p(W
z%kH}1pbvlNb@QWd(xF?-O*gFA>7n~k!y++G5BM4^SIKLe_)5!IjDIB^5NRb?R%>-3
zsd)4#ZN>^tKjt=9bAS%^XvREl-O_=*e^o5J$L4oT)oD#^kQU;NhuUS$b)bHwytu!3
z96u;eIxrqg3tnCS$@!&eL+Q$Y_t^^i@Vl387+HzXg0QS{l+L&o+_&oCmN#t2_l1ah
zSA3>{>ur-J+@?ER`t@Y)F!lsjW4d!mEtLkEOJZwpKh}iNZwmWOel%b_y#y=Vn+9xU
zhEX7!CZOwWRr`awuwlvF#B1&}@VU4q**8D~q8@%+KvRD(`rV%C@&PoUm;buVY*-yW
z?{hF%eLI9T%Af3R%%uUpE|F*NkEw&Aat8KZZXDZdJSu88Ndws<l*#6=Q~+T)!2#20
zY%=Uiclse(7=Q8oyT(B(+%BVTyWW|@I9T-f?7z{%-5ckmr`pxvk?6-@&A`7{tyqhQ
z-4#0cWlpF4%RvoN+%Il_v|7ZNM5lN{jp^Z>y$t_WKLu{_^<Q@vU&a!fovr^67@$Y*
z4{5(I1>R)yOa1)2f<3LcB~(XYggRcs=M8iem~y<vm({k09j?fPht5nOwpr70F@p>z
z`)2Nbs@cE@xdGGWWz2B=_p4i8>SWlB(_OJfn^@<)@PRi<tkB~#zY_mM6(rPGs-}Kz
zV`u#?`8c+*K~sB5n#n8)l4>jml{sm_by|<1IhO+-J$jqz1|&H4TB`LS(1GanID4i?
zoS?DzRl?<-3e<3gU(>oq53viJr=NOpLy`GV@h2J;7!zLB|2Dw@;*F_Ga=AR9nX9^X
z)K3}e((dQPoMD27gxH{=1zsq&y5l-Atpqs3;h3Y0ERZKGPP^#A4>Q%lhpq)G0mt;w
z#jEdFVKncpL&%x{xcJ&9U*b{%D=lFcr$TmU=<e4kEfs>aOW~p9Dk3a1)5q_v+69HT
z(n>xh2*asj8_Q5%B4C$Zd4Hbgf?<y<cGIaM;FDIu?`uE=kK3>H4M{xExg~5NST6<_
z2Mgn`ND^V<eDJwTS9oD4Er<6qrzD(V=o}0cC4y(7aDeR?A54|dbDTUR1sYjj!>ZJY
zkbbp;<BG2U4Ec^q(HBcY=cU&5xpPElG6^=15E6pU-)%W$aalMfDRKM!CnBInakh_t
z?*?n_E33SDaxi<gEOo&~3G(kr=5)W`15;!llWj}^&O9NlyrWZw4_AJ9N4JT>t)fFV
zx>E#r?O-#IFrf^sWZM<b4RNsKyK%TOj|eB+X4y<QNT9t>YDDFcB%HchA@TXNGH7hK
zu}+>>1^kE8QhbjTEZF&EE-H{<!2apU{Oe?>?&*yk-z@_&Dt&O{k1BZOIXBftQ(!S5
z(katj796!_UwlPm;P+CVm3yoPcgx;5j#tV-&B<n9j-bFV3DdFqDJqOKRE)B+D?lb*
z8e}M^21Oy|xjZK{;5x^N96Bcg@TPw2x%Na22=Xtv%KmD?fFJFH;v7W?j>)IyZmL1?
z*Lm~R0&OTt58~`-Bf@{;UBfZrRB(2T+R6*kg<FY&E$+ig@Xzc-s68DO7U>_HuHW%D
zUH<BlKOM^OvS8j&{gE0xVR-YXS;r9mJP^Loo~i;ITp35qw<vH?xG_nB1t7CavOZLp
z1c9<`mR|f62%oB6s2c__xV*}H{Uiz62WDE`x>R8owZEIU#0UaXH6>r3B0-bpKgrwt
zD!}L}^i0&z7>=^Xbz6y%Ku_&`_pfb5c(rP7acsyKs%o^BGm}+7-MM`Ac7;4-i5Qk^
zT9^QdUqAB~t_&YPR+Pyek%1PY2<;PbJNhnvBY`p{m>FkN-KLQQSD8~+p5>T;=ls>%
zu{-}LC3ie;<B>4<p0RhGPBVe>0mCq!e+2lQf9B)&T0RJ}WxsaP%LH2QXa)KIrvT@q
zHw%@9IG`DUh7`dB)+gwGrq#<qsTk*7v{U%5+^iYMXfuW+Ir(>gIAwvc*OU|;yn>k>
zXkTOf&lpBza=TlPN`p6{ic6z)2-DqCyieNc*E9YaYFP!60I6bW{7jMfLi^X(Tv0}l
z?ZIRw#wHHi2Clg4yFNTUA!vSz*$8A64^}OW>;ajGDMLGxX*}s_b&PQWfF5Pc@&2q3
zDA;}<aaUfzUxb+#{^A2D(C_~3p(p^`+a?w#td{W-Gd`Ht!C)hV^PN{ZFYp$IJ+U@l
z#qDlc43-@-gew7S*Z%5qL)d7@g|7~4cv9n5ch3a_;8+@34_DxTkgtkIvnto{Z+3)t
zwVC>GQ~qGm0I+~ui&5^$<Tbp^d7#m&Ne=>2HjgLNFhJAh-si^bYq+-X*@_}sJ<!vP
zKlv%07P2PRYod1Ul`YFWs0z9}dv-NZOx?s%E?beTomOz0>zTJxVsyZ^Nag8b+A6k7
z?E84iiDg`;_+H()c5MiHzr0+kxQO}a+81>mU&6nw1(_a~(FXZH8+k<IIV_jAG-=v>
z5x>wY|B*IC3;0uRGK=PpV<R%39#@1d;BF80sWE@k1R5uLDJ*Fa>&}0un_c=Bzu4w<
zP(oJ|_;cLu#Cr8&A?th8sN3^+k(fg%W3C2-#qb?2TK|ek;ZCovou9`qnpe_>acF@3
z<L*yMMvWMY$tC0an{)W^zi0!yP<6;GVwfo^E5r(K?dr)Yox?|-(A6H9qrz#7jeptV
z86N#Urji&phabQH#o6Ty6|OEaP#A0K@#D-rj>$VcROyT7%Y8#?z#Z3KGMw0g%bK}8
z9Lw1`$F0rrubUc}^JE|qyaP{dK%b2U=J4^H6Bn>i3S`Zv%WR$ahHJof-K%}`_>Vng
z1wn5L_>9jUa;WabCk~j;CU(r@UWa_#T~^7EnfT;~x_=*j^S0|Zz39I<ci{LvrdTrU
zrE$?Yb!7mrK3{V<<mdt(exf;lO^^({Ps_7RBZqJ?pFg(8>=*HrD$!uuBdWlm$@{h^
zZUj&2&U&R6w1m@NE8gUYA%Vl3^ofUe$M7f8JSvlo%lJ7DA1ZgX3jDsx#ne?jfxE{Z
zqP>T$;-3Gs=Jzit16%!qf#=c`{+UwHF*mw~yR!92z0_0&ir=LG>Va8Yv57^JqkaSb
zkozUxEKCW$i81|-ADzRc#k6S?+c$BJ*+XxcJ`>@800030{}h*ZG}Zqf$L+oM4%fUF
z_g?NbGCnUWq55V<k;o{N$|$3Rlu;r=2~jGEG8!5_ZxjjH5y>dhu(QL@@88#Xo%1^9
zd0yxFd_InM>pfdGp2Iz~MT_?GG9Y*1Gj1&ML`Y0MuyLkr9+x{>b&=7I5nUB~mgXFx
z4jDqaDQ}DxaN$F<P4Ul|&=_`nNMS$?GE$NhAO2ayH>0aR4FC(0)Sh;|VWtM*;V*u>
z*Dd3Yc&CW#JS(#CyKT={t_m8KW)miLtN4B)uWMx;?C4R!rPK-)Re0BA#Kt=N4__)t
zb(|dHL~=Gjmb<G0E-Aa0-#TpKHE#6_iHba^C#%G)Q(Xnjo_E=<FEJou;eCFOJU%2G
zH0>GvLK(F9!>yZqm{4_cz>xDJ0i=2(5;pfL!*qq#h44jYlrimo{|ZS64b~b(yZu!H
zE0!}RF{P|1^2#xvo;G3BVZ}2#a7PL5oyKXIDeQ=LSjETXmMCghIVZyIsRWO+Q<Ted
zIg!wk^c{~3an#BiLa5eM0;PSKqufK>C{;?x(fpMpTG@B1UV}#oxX0NRr1$Zm8!aEU
zJBrAl69pk&JevgAcTU2_B3=OPtNf7os!$HuXeoV;<5Yqa-&{4`O+jS4tY&$?N**=s
z=CpMnD?y~(V_mx(VZ`;b|A0DO5xq7%<vtps1P{Hx6bHD8q8-N-A*+jkA}D>1_CrcQ
z?)JT&W+9G}P_HFpsxq>UJlc6VL>caVbPj*wB#H7y(_g0_RYhlge4A_yRlw>;k)m0e
zG%_(8I<n)SI#MhSX%#h8h3I^qLE&Xt6!K>G-$;KFa(M46q86nFma=s>HZA1QnFPt4
zYYCdDuKYxbB|8zWz}2j#LIosLVv*thgp4dAVsj6TkzoEF3%ysEfR-<`HiiDCpl6!2
zkHXuuz~1S+^Tq2*NTK{weaj*h*>|NHPrFmV$4rg(gP?*&meQ`M&1xgHSEf@b!&EpD
zF?2V!S`}5j#Gc=4(?Lvm5*41=I&fg4{}$;#b)?k1t-dXuh8{T$uKkXqgNKty$&Udd
znmW}UDbGen5)b&VoXOLJvWUWpe~udH5O>6-88bQ}-L5VV7&3qsU3$89nI<xd3P1dU
zOh@ZB7u*L7j36z))6cPA3vC`eZCF@GLzQ=RnDTF#z>m6Y`a&}qmA@5vqqC@k9_rgJ
z#e@T-6yCk5XGlQ?CO1~=K4_ymvO#BL(@i1aRrd8*KML}S!v45gQPJV$)qho2%^={L
z?0=iS6!hbx!PN12E!3QtHpb&)4&sH^dm8m9sFq=rp7M)``u<bkx8k;dbA3wt4pouS
z$Z7v=_Jt~l?fVP%cV{i&#c=p|W`P!3T6n!_YpaMZYo<=8yt07CM<(W;pow-}it?~h
zkwJ<jR5gu83rLYyJuRF|Lc@KiH5x>a#z&z&n?)Aj_4>aHEDh@DcFYxjVIwYN+0O0i
z;9&v1IJ?dM52~n{NTrEhTEn9Pw*RzWGY3mjf&R=3Wwfi%!P`0iGaitk^G7<?9Hhn~
z)KBLVkp03XCezU|th$Q6hkwlsPJR9U-<L!Mq&#J#Hc`8b(d=xk`~uCOjsH!=B=a`J
zxjS__yowQ+`eQiw224Sf+CUkVlSWyg+NGHfS>f(^3qp~NDOBHX??gf3NVPXgxhIMP
z9L`;gFL?vN8pV}8vo4HqZMO^8ytn|lDY9440aQHNOLJQVP^|aWajz6^`26KSoU$JV
zhv+>MnTQ+pHPxN0)!+fmzQXrbK_+m<s4(uGKO16R(Zxy*^MK^fmJe^^jA8f|%cSph
zM&yuxCaA-n2SSbK_*L&3LG><W&5Ynxyi}YxsUX4w-+jnIui6ZO3HES0<j>)55tT>6
zUvmRr024zMt06>{aoY*#{lH)JH7*=-<A%MC(>pQC?GO==F#OQI2M@oo^VT~CZdhU$
z$<DlD0P<6{=3-XYuw>WSW49~006Uq>$@Wzr<R(T&?pgL=x=vo~$x&R;Cv9#zL)QnH
zO{YguW#6#YPWzjfCl@qz=O1dz(1S<oQWqmX|HeY@`}nc?azWO24_Df%E}XlVP{Dd<
z7TYK|cZ@rQ3#y&iyx;lgLX}Aiw<OmBwq3K)uX2D3@&cI@je6-I^4ntkGi4d08Z7Iz
z?d68Vq<yuA_t4>A&3FNy@)|}Do_yLl#SJFKV@~4DG)OrAhB;_{9eazB@2x%Kf&35D
zc-T#Y8a1I~0}c#uE{Ag9<U?K%@l3h)saprITbg1A?=gad^Q9f`ANU|M&a-{cQwLf!
zKRhvCWP;3u$l48V0WiuWhxz^0hW1)-e%+lcK&qw+yMEZ3vljNHUDk$($QzTXw^_kP
z{>}<hfgt=fp506!YQrWir}P*zJB*tb_<T+kf)rkb8<##(;gLchwJd}K4m|f~@3<)p
z$y1FceP^g38EqEJw#*5P%726Y;v%3wMilE+r-J=S<9{q^+|VMN&2)%S49;YJe?31!
z0fpl86%yvWP=1j=-0+Y%q-#EksVtxXhlcfw>w^5?&!V6EWKaSu(u;>Gk5XV~*74H=
z(E@Om<=yMA5mIpFzZ9*~?GzADaSz^;AP8R!ju?K>mjTyq{A8#o1uo_|-@AK92o7>`
zCs|3z!CSvo8@5F<RQX#f*meoSi7(bJGd%LJDD71-)JFz>x>rbsgeY)QEG_!w6d+Mz
zcj4b2GORIrD?SbpgP`6P@B5~T@ceOVF8>S}4oPZ$%$^X3+Ez!A*C7O0>K^|`*t)yw
zOeo<El?3@52ky;hN+A2~WY2~<1)M7d@L(xv5Q;x5Q_ZFV4L#Dueite5>-l_6ZJ!K0
zn7F_Dq^By36cNoWzEZ&8;DaNF9?L=MFPHF!dNts<fvv^vro!1SD8H~r9_Dh5Gk2;J
z!AK-Ni0u;<`UHu!ZT~4i!9@MK<7E=$Qm#Bo4A%y3+Aas?{fclasxN7EOarEa_q0SB
z=ztaHE8BH{0{AqS@&D1(f-eVumvxHKU?sr4;%~GP?8=_jOx#a~(Cax7J%V&dDa}~)
zzpf08EDH8<6bk4|QshU}bz!C@*FovN3J`j3UL3kf0X_*nI>}uRS}y(mN_?UUrsggw
zuHzJ-IXVs{KG27enU|A857ppasKkmaFBOJcCa100x5N7$Oa5(X>QK>Q?Y_WCg+ng=
zGqS;kAa>IrKg5j)s`|6x^?ejTKH{9z??w>CR^08!Mgn8@+7^z}6p$}|u+!Jh1QeD}
zS@a~3;F(*=_u}_t*#F^SRpS#3Qp)E}IeaBS(qPR+lBE{>$oy?45CzbSDa>XuX~0I|
zwHVJp4bb7=?%mI43bDr}gFEI(Q2QUt&8N0RIR02u^895}V0oS-{=1X}o$mD)UH__r
zmdw@sC$pxIMR8MlOe4XeRlYx);mW|A7Ghy*WCkIqu%JGX2wwLit?gzNp)IYv@@#+^
ztS>c`o-bF2k#NZmPRHee_WFW#O|%&Zy|$e!DpvzfQLi(SY+HXpNp&xZFayzZyFM+a
zs=~$G*LAO=#KEuKm$mGm86^Mx@w3-i1rDp#A6|AA26elmzkX_&0aM_>^hYjbIP1xu
zIJtu#$S+Lzs-{e#nZeURw~7F6+UM$Jx;S9Lj7$wI*vemeUB-7;MR@b_$-Y=eW{{|y
zXE)u-5rybM;{`?qxSFlIhyUU_c9JRLG4~$;zVmcb+r!(SLfqEjl-wewF7dm<FcBcq
zd@?JkUj}##NcUe_&tP0}GPCUjfMmAtkYgvL;M(o_mfETxn5kWF93Fu|D?Pz^SzQ7`
zvf6{5nvGz&%xeer%1l5~{F%=UE-^S4y~)K;{~3#ocA+$XGX`xx5~G`l2n;d~uK9#@
zW5p_dxld(`fh=98F27R<9`Ct3HO<_Kjj(`5qpK01s<gb0A^{k)c+KlE+JUul#B!d`
zF@(ULwqiY3KA0Z4@+Ll~3$t0g|3-OqJAB~Jmezj84V712YTKJXVY|<Glyqxu2a=tx
z&C)?m$Q#RQmr)qN!bMLOTsda|D#H7Uz5Zhd$@o8{bd6!misK9`bn8P*t{H(bjuo^=
zXWoo$`-c5Acunol(uX;voB>#1hJlosGk2WFu{?3cJcSfJ*cA7Z%qn1lvBK@XCUrlt
zlHA+_0&}_${_9?LZX6?|WN{f*xlCe(E=(?G_v-@r3U7j176UvKk!G4qoWV-OuhrQ!
z(&5!KPuHU-n;756VKI+0bJ)Wowy*B`ba<mL^@DzC19QliJDYm?FLt-AB{;v71`{kn
z<H;rKm`{k3aZJJ@_A<#(@Sh3|?)yf`@=2^?Iqo9Hilxg~{*WHY`>qZQ4>H?*ZTyE-
z6u4TDCswf{2|J?}WgW=a9OD>%_75Wv=C}oo*Rk4&-M=+Tw4qB;F7WBdKWs|N$+h9}
zCgyx|!aR<q4GM=N6JA=bV@vKT8AlZv!Gqq%(NRl<0?VUSo5Sl^JbP65&GSrPz;#<m
z)`1G)YZ}+gD>kqITFed2E&U4fxJ^PPC@?M9B{}(G6KiwGxh=S*w`8zT=+77m)H#JN
z$3`%~u2Nr*08MrfNwnFWwT%MZJLK|i>M+8KeS-bhmpHcaGAzq9jtoS#sAzW%Cg`O`
zzf~OL0_LMJxjyY$FnGC$@!1L!lxO7r?O)-6H6Ew`xK*`4a^i?YF9!=yIx;M44EQ19
z@!s_}mo#BG%Qj`Z9xHUPf?7<s0Q`K=A)+?F<-5mDndV<)145k5ZFUtQa4++>k?_}m
zdq$12>?`bWVZCMgb-FOjF*#kkG)aQhlpl#zshq%_YBBO}n<%W7u`K7GBLS!Dt1*?W
zKJkljSXQ%D448F~9eOKA0<E2_d7|5Sp>i!$ry^GZ!oL>l-)JMk=fFYTqjvo8z0F@?
zI9&?%m3lMrr4u2*CAL1hMF5<W{*cGYW#AoQ;JRM`5t0kT#CLHCfy)loo24sq(4gYn
zY;%CPr4uILcUTyxJSR0go^AP+kqmpI4-ulYnvaBk7J>62npsS2ittqM=qHa9BJ9pM
z@@nOn803=*S6c%J5Jt}M7Wqts#;jyrilPK;Zn~D3{7{0m?<E|EZAfsT*zKtFk|apQ
z>pT}ZtpeXq@Wt);L4rcz!>W5GrQvvQ=`R^cHJFkbc&YwW14ukGx8JeIK~2DWsre>#
zIP1VR+ghy&AO4A5Js>9!1x%88H5W*r*CcsWZcPggUa+fpXsrN~k3)w3m}x>u+Nty~
zi~_uBKYbfx6~WC}xMF5&ul;P5>`rAW1c&{wKHNxvxaf39u&03Oe7iA)stq$?HuF0~
zlz|>{xA=j?|Nqt0FVR~E@aBjWs*eiL8z?gG-&0|2_=ROSP6PhyrD63|s?hl?VD9*S
zZFm!D84?G&uvyC=b@HDYq-nC{X1&#h_d6m^%6!)YLv5oEnKU9W4tM0~ZD<3zAk1X<
zT>}U>*u<abNP@7zfU)JRd4Lk9;n_2WAUmXBwAVocXq1W(38W2v&nM{-PR3Bv*imk!
zstIQIT$!DXwc*rATSu2B1|kl1HWwN-p(Z<IrZJQXMN8(THd|a4R{3vCL}QCPlO2Ok
z2U38Ujo}Yz%m2UgX(+zkqXo*(NAFA7X+fz&r^!yHEgrc*mn<h~0j=R!-r7+T^c_`x
z7n)-Rg71TaU)O4a^%TFF2c`yYaf}Cz1kK^qTOEPtLYlC{OTsI3MhOBVHpm8^=1^k#
zN!Oa70e`P#B~08>0PAMHdgEks*k9Nfd3}`#|B-iMQg3BI{pf*a)iiUk<uF<+Do}@{
zcuph3axvH~Xfu5_%p8P?2^KFE)xbhHTqjFK5UyKZyEuVu?dzC5PDxM!Sw$6@$uk_F
zB~kVH_M90U*?h=eIj988e*=_GtZrg+_^-{$bTjZwDIqdw5a5$U#tPqyS#0eKIj2U=
z49b@JV`)(eU_YvM-GtVMoiODu^m%FuQ_*FQPLyne6He022L_w)d);3?oG~_qs0^wb
z_gR^(9`)Fw`oniTYNgiYLp?wxcG%lBOcG9OUvVG>Pvfak3}Rt60Gkad@A`7ZfS2=U
z>w(yLys>=G##|8w@}7&LPnLwCk~c|Plx-2OJjX#Vcx?iKea|G=E(*d?a-Jb;{1X1M
zWA7W~eq&JMe)9aqH9n|3$+5_wzl_Vwjh9Pp8i7)%Z$L{77bxGP9%kLUjEls32b7bH
zKzZ!4z>^*}NO(G~?z6arXE;yZ=<zTFPZ2vO*F<Kx@X&0^e)kgo)5z<WRnB%Ou_%s3
znGEo)+n1DkVi7-1e{`UH&;VTBIwoVM)-Z<mQcY*W7H}iBtimTM2B37qdA!qV30t--
zk@r9G7q`Cu?eA!)KCnIf_1KRzk2#}@oxK6`IK%8j;Li_wVA|l6HY_%cy;?^~GpFY8
z$b0*k0+sc^A%9v%>*)kGCc~^jzA}raKgjti6|W1PHpP{PB)(x%qLqeI_za#}Yg<_M
zlMY=cym~$DzF@O%*N*q|&EQ1y@9Y!ybeOLe2o=2Dh5gy^eo($Vg<rj(OTLO|5PR;J
zf$2meMu_>iw@P>l4_)|Oe@dGM?<QUbx)xMnY-|xEI5CMYnu%=ld!Pd#@@M<?qRaRr
zF~ZVszDeA)z9h_2Q3rUQk4l`_RgLdX;8m@e{)6k=5tM)DYlD!fY|6=q20XZ3#Obuq
zB<|y{%4?vo<p-z4MhW3<_^%@W->qSjxMrY}l<++&D1AG^*z}_dms;X_lPfcYk1VDP
zdT3GMK+WRjzOG(;#K(M+mt`6^<|;Accu9ffDMgpwv;q8JX8Fxtu^GH`h1q>+=N69~
zi_kNp4dKSENh&t2Gx$q_Y#Qwu8NL(5|C8|<!NcF|UDLidi`R6i8=_$?aJtrSzm570
zcj47qtuCCyor2<i2McO}$1?BXe=K9T_3_a)&$siqdi^bC-JP0{nS3o-`^PxGGo1E}
zpLYTO>{H?~dqD%T_ILDge4W4-Gk609q8IVTboPepjU-qQ9n*g>{R_X(q+BU4yNus?
zNQ;sXAi*_B13jAJB<@`!nH2nM1&@3!%oci(2>bc>*NsL_<FEO7epmlm!`EX&MawGG
zq4larRwCmpepx<fnW(sddk!g7eB@Dwyk9)_+8%TGLSgLD1{(%c%X8`O??5#uygVT8
z+dq%*f8Ni%t%wo11w0@tcd0^QcCJ;=*1wjz2P|(RFrynE3)PD;Rk$%CI)6fc3IA-D
zU?u;a1+|A_@lPvM;E(q5lTgA6{wHf~s56TVC8OJ3IT|X!J$2nT%xDcaDyqx2&E!C>
z3u3i(rOHr$Y5%Hk!a6=+Bs;|Xo(tIvWzCf7Dnp%Vx}O6Z0}8!88u*pUi>8HH$C=+N
zL6&vZk$68w^fue-xcX;)RA_8_^Rkx`3|BH8n*YUw(tXNg+dKu)?uEOz&DfQocS`dH
zR|X4e8`xV@wkCuaH%18io)f@QC86t_FB{@?G7t}bBZ5-;uSXhhacZ|$cDt=F2U-eh
ze--;s3^mF4UwV!a!1<;=UX{g#bf-NX4mL=jdgu6sZ_)&iNe;||O&)ZX@BHj#5oyF?
zy+3{rHvu?I(vMaY@S}UFZ!)8^Wf9wpW*U<q0d}d9>efvKQLEyUlq#Y;dLPx#l}jN2
z_aQ~S^d2E3#eXM{`Mv_OytVPk`#1sY1dbF+r-&fWdZN3A836_SW~n&PMu7cc&heYa
z#LxlVL&Us)N=QRH#?szZ3GPWK^8}riKzHYsW>$JsP_vp*(_bNFXq%sE)_)|0c4jw}
z)wigj*X?<<kIX6%PNH|E^U9(tSKV(heI+6%>+-#ZG*x)#d1tymXB+C>wnl7c(M0}V
zv-B)W)!^AO%R6b30#Ylp9qTh7Beu1T9G5dhxYfqpCY!5>^4b`^1F9+LpZdbF);ta9
zXNaOdQ&2*m@`(AI9aPl1`eT!-PKNm;E`QIb$|y!uu9<m28<l<DaY>b*3Lz;ad7=)g
zXiDm;TV9I}%ID1XpV`XoEbX;WuD@!?<hGcE%?%p5<J@9<sh9@Btn!=bSBc03@uiCB
z(9sCNI>zIjE+mW6tF}pNpzO*O<?v)W>h${9$jEB|O=QCR!%3RxbwT|~P6i!;r%X_I
zh#@eU1|4o|(?Xs1Chv}#(UFrdOC$NWF_;Pw2F(Y_=pylU51v9pyT6=Yp=$vI#QZy)
zXiq_}&iGyN3DZFtt`3a5T})xx`YLng6$)x_x^-!FgNmA(Xzz;s%z)Be_KTQ9L6JJn
ztg|!<V*Jc+zqr>N9$(*Xmv@GOb_6#s#X4)Cs~60_adKOLaMtCCbY%*vU_Rv`Gp~xY
z{*Vm+UA2G<({crxJIQD@nbN`-Oh86!dd)S17T{99`|9TzO|<*v#{-Y~<&bN^X(YX9
z0T06$YMksekg<2-2yeA0YA<q5CVaJkxOZ=faE6HZ#t%-&TJfNNW+%DmxfbC1MG+2#
zs-Y8;dIyxo*74cX@sVE*Eg*B$9Sd?%K~;~&T)y{z!7m<^)9tJ?hl~5_QY9!#=(5M<
z15cL6v0~L@#p2t|A!XtCZc9!@#K$vs?)0%$>>-z)LE-~5_?A2R)_-sta%>p!5Zqvb
zv=^<WIl^Xef>>`<-64%$x@QC59(EYsVga{kQ>Yk#gFn{95lG*vs65OC(?zZ8H>Lnc
z?R}^Ad5a)t+RJWw1P}Pf>~oYn3}BWSsPc<n5IrF4o}X;wh4AHglcHA`T*xikNn_+e
zzCCjS@1pp?=LnO6V~q(s7VI=525$MlWN2DtEgx`<^){G%GzJHE4^pZdBbqD=8W?}U
z2V!4c*2aGsf#UHm6+T%j_-JTBlKnY8xSGY?ogi!kOZm6!jlE{^!GErMgVgxoj{7S?
zGb=-gjUL=9&HEkC*(n#x(Zmaiixex3`0daj{?yd_d^4_d`_@I~<GgU!k%{YAivc*7
z3=ZW!uE+ibQ}>D~^1>WBkqMJAfWiY_ryDlEVy(;8hDRoOKz`j%aWPmQ_OBJg9p;}{
z;q#}?GM{*$)tS47p-T^hN2={IKh9tbty2mO!#rD@-_kO!uLsNK48b}t{$gKpYu<ej
z;Dx-8U#UBbbm0f*2sP}#Wo+|eBBA^UFC<%CF6tN8g@!kM{_A(vFr#d1vBST3K}aww
z-!GL8FOn8JjNfixv&waXURiwL{`q&*2fnRdq15Ww_>}>ITC})kPw>NxY#GD!H5$mY
z3zOvbFu@3`#vLgm0m!*^7i*WH!S)@$9NL~T!>&T<SE{`Nut>^ZJ^e@rw7!?5Nl3Fo
zT=j&YUXmd6vYqwaFx3I$t{n?Kv22i;pQ%3SBm@)BPr4@!YC|OpmuSi?J6z*C7_zxt
z7@9cy=Ix@j;hb?m+Sve37@yg8gT7q^ihmvT&r#I|5lia}1%J8V<QUKXBaWir_1Nol
z%_k~YyNJY~R2~>Lz9M)oNemjA_YEmup~8Rnp0}Me=Yz>rk6Ye@;-Dw}*U`?F3L=i5
zECe|Oz~oVmKgS+PXns?Z-YdA(PpE-1JnI7RbVbB*=b#iEzE3JTGD3k*!4E9;nS|il
z_kt&5$ueMN*Q(dP)lb}$4z=+~3d0|Iw)Bbpa&SOwX>2Kv0z(aP>eFT-Q2#hcI#Wp=
z5>wx9|CvI8S?Qroi5O9^iTUleN>YH^{JGS&WD3|jQ3CFCivf=+F^$Vy5qwuXx)(Dk
zVA~xje$qq&toeEB_>K}Fn%y+|V>tyLN!D-3<C2iR;#$yqO9^zEV#wbHDNqoS@44nI
z4epHZ;|snhgW!h0?0^gv`iu|O_Or?YIU_3Xud*sERDXFBc!CNwpGMmRn&p5ZTYEJw
zR1NM-uM+M0sqi+<rR9#jJbbw$d!DON9fnmzCMa&&pxYt;k-Wv5eT)2$sG=n3<Uh@s
zw4@EMDu2t|vr+`lGOkajT{S>bE<)gHsSb=bowZ%IB|wt7lOgf4CWL+PaN9UXgAHRx
ziSrIhz{tJ)?ZjOz80P-6F&97wP5r@#^ZS(nvFLV$Ws`w^3zIGn)&>1kCBH)lRiHlU
zV1B<A1^7Q^SDehy1IwLVPGnbAh}?PTeq{&+_Qtb6)oIp;_m%HRx;xZBq;9@3J(~i*
zl4iMX3U7z0H1#XJ+tgu~Yx|zh*C{~%E^&Uy&k%gb$-=Z@b>JV?VH`O^f%I2S-anBM
ze0-tX84yE+o9%+1Lij0gqpPVjTFeAazFE9KxlV)@W0UIrLS%UGDNUr*1B1|Y_vw#&
zx47|7={x_&n&2`XmRDd6FnVt8Iw6b%_gy2e*RGR*sdKo+up7YSmhs}Q01{}-`qCvi
ziQwsYJG$Q16vAQ_a_Ho({&?kG(3N3TV6D$sRw^}xL)@|zC+mn1*PY;=d|eqfbeSdW
z7fs>aZ3$&el?Zot4SbE;P5|wkgQXrSW^nI)#kjYpI{Xg+0RR6Cmv=bUUl_)%jO@MV
z%WHdwJ-^RuWmS~ONMut#S}K)UB2g$QqoR~hW>NAzQD_)tM`cHmkv)I@Ki74hb6@Aa
zKlf92WqvSuPzE07t$es-YziC0x(*Acm7s`~vgWQM35R8;+c%6%p(^!}_gau5%#@nR
zmi!h0NomoFUZN>*H9dVJv5N?Hc}|t(3j$EH7Ul42g9i7Dj@~lhRRF0v4+S$nUU0Vv
zR7!nEgUDyo*TmWguuAl9_D<jcb)TC7{t+~I(MI?#c~uTd9(58p6j@-_FWXB_g9g)W
zL&tVn$b#k~DT?U<1K8b9*$V6e&{n9Z9or!TbXZ!YQTGOBZM+ehd=6l%*8Y9V14&RZ
zcbL2|xrE*PGov0Q3h=UuwXbWRI80VwU2Jmwhb<g8*LV<u!8vblRyKK2(D~w`e0X*m
zTiv{EeWK6=tY)1YxkQD*ovU^Eo&F!p@hJYzZrm7%wlm(KB?z0XH}u6}9J^FTp-WIS
zhPSa9r+UNqfwjs}N2q2Di&_k85)Lu~`RhKR3WL1Ru0VN6JT`_M3cPdrPKhDtRvm`Y
z6FlH{@Odkb_%BSnfMe<SngRF(xUNq+asl6a@1}pZ#xWHi_M^Qv29Tm>Hp;}s0h4xC
zJ=2xHv1`Hs?h`rs5awU;mBhId_5|twm*P5w#j>}L=P&6&?n|AV+k04{+n-9{(w@Ou
z{N4rZJfH`^Z+n&Nw=hF0G1J+1d={g1oc+i2QWy3Gez4+<-vQ1CN)1`iKdkD8t<5D#
zT_ABb#>t*#f>BD5^xqc?*buwowbSuBU|M*swBjx!Xg=iAVEnj*-Bv%z+PI_*%#+;#
z7LyDxRB61@v9y9Q|9Tk~7_1GP8{f8a0vRBwH8{f=*0Ey_rA_w3T5zvxxo41@0XXwn
zsLvj5VgpW>@l%Jjz=rQ|dVD`Uyy4@oib$h_@mu?jeEF#fB~3jYLCy5Q@#Z8CVU!*i
z>Mf4?`)I<&n;Sc82k7CCt5OQVni0|(&(s-BQ9)w|2dAJQ1DyI<(q8tK2`;cd-*6A7
z!nj;hw#W87E-SOgb~|kAao&UX8#@*9M(R9<`x$_uVLe~A$^wk?slv?<D1es)dYFYU
z!ky2<PX`biIG1KxIU7;nGRIiRNf{=nF`*sde9R90?u-g~ePr+zZ}opQ!vwDR)$@-^
zIN_tpo}ST2GR(h<wt6<O173*bv{?^wL)Oc~eV)o>c=J!tg)++w`fEO?y`^}e#jx{L
zV+jdnB5HU;2&_;i9Ywn8%?D*t_vW+3NTAuO^s?tH8@xRfenO#+ACkTXC8(rmKzjU_
zVA+2=p^_<!W4DnYa8v|2L<(wv3R_fw{!I=zY+PL~(IEs;SHkuUJW+=jJ;{Y#9$fI?
zRaja<q6i4+=>7R<rw)E@Vy$14c|bXNRCL})4EP7NGB+61;q!AZdLKhx;7~WA>-3TU
zhG`v>sAe_DBWUZ%`|`o=CP$x<SSer+>N;NZObuoqo2egu!Vhz2eB0FgWS~4+@40q?
z8qhvjSh_F^!d1R1gV}6Z@cw1&M@DMkK0(<wj}R0SOm^r^$idJ`r;zZH8r+k!s}&L!
z0cIM#@r7OTFrnkT`N=^Ym@onN`=3N%<*@4Ft(OY0alI?_R);#|STJeRa>RkCzmb@%
zs|W+5?|t|#X@K5fby9z_Bs3o)5klT6fnq$9guE{a*f;z8pJqwJda*JyyQ>PUvODJa
zn2^D|wsw$dSO(h82mEcCQ-!9=OMCzQB15d!GeZKC9CTVR><+!64)3U`S1y!NK<#~+
zT^Wf0mo7$2FmRJVqV=0}cNP`wTkFov9g&A1k-WP77#WNo^=ncJHKFy~0J6HP0Q|8p
zZx4=;p=e;WudZJUrdh-!Rlg9yu+XSq^f(1{OiYu`l67Ee_8*T3gA(xHKb#xXPXPn|
zPuH{ZbRqGJWor&m88$;&MTyc>z;sF6i4=V(h)=$DQC9_`{+duZsZ^k*vGGT>8vwhY
zOvE=eRnWi68nD7eg?Zbo-WyRykbPA3{+&%#7$P~fr*FTfD|mf%K-~nqJQj{MKU9N=
zGRw<CA{6+gleZ+<ih<@ko?Jr_b?{sgDS2f^hFS;bu=|AoYOA%cC-$iWyU>9UgA*Dc
zk)&H$?@oi99hAoV_Ua(unL0+MQv+%4;%w6e8rY1D8#r;R!xx#dz*I|RkUV;mBQ4Yv
zLbG0#1zuMJ2kA!EU=Jd2J*_9b`eX{$cl+pz+f{)*tNh}BM+hM7^*JzlhZ$JK<p*gE
zs=%e4?;MMd%D}t?K7LBd3`FNiZx?En!PQo)id|V8?ALxMJr^+pR=KWQ=G(jz*jv@2
z`AraPDEVd)OQtZXKY87lQxPKk8`uU}d4Y@LNW?;|DO|p(VWW9N0hZhnwgi&cfH%66
zGvcHv4D@q+S7nh0*13k<``Qc;yo_6hiJHO<?eB8u!sTG0fIEMOz%ur6>zV&}1r1Ce
zWUGeG%7E0X2nNE;A55o?@3)&Z4a^R@ZAFYofmKGy-RXzj82v3Scf1$i+3dj<#3%tJ
zIzEDr_TI$59%cUG8vww6H&nsUN)!?muK-0ry1z>rwzuQ;8bO~4e=%S#wAgZZDFhm!
zT7P6B25^~byM4S|7+fv%eiP;>0495nF7N6b!MkSO#O<Y;0KHb}f1$E`ka*?q2|w3g
zI8idwX35PMDsMlx%9rAS+-x__hNI)SX8r8J$B9Oeb-XsZC7lDB+=CvDdW_?wuqT)E
z-x@+m7pI!D9UHh6cDp|g`-Mlyw>fWZ7=T@jG%?$S8Q#wjh6VqQ;%PmGdv1XNC=nUj
zBC8o8<}2!nm><Ru`Ig<*O3;V&V9~=ae)MqRW!U}l=YzO`l(k-Vw;pt1--==?HnID2
z4f?s^KkyuZvGl8|dhkHNeJfgO4J(O!ExO>}i@UVO9;mvc3#L87hnF^&FqUd(mSw9B
z+;DZBIy$5SCOOi3@7OG00?9?641!y5Qrl>9hlLI}wn{y$TAagTxcqj^pMQs|#~oza
zTdWO)ou%L1S7xwRmk-$MJg>xeNo*XK6V(O{qORZ5)W4Y0@tj>l=i>2*h!;h&30mNj
z_&71T<_{JhF2y_Zp%@b=V`Y)w&;;qYR4Ey+3G87%r?ag%!hZF&H8Gvmg#6n-Qy5PE
z!i3rOGz(s6!k#yVJjtD*LW#s`1a)i_(_-xI?67acCO+!#{TV`qoc`r-&5{w!$2-`j
zW_Jh1tR(t3XKvfCA0yW$8;3FWPtU)cGVZ~qE|NwX&r(2hxxOJ)VHo3F-!peqxgXON
z_dR3EK!M}re1W98A<V{l_jnuU0A@$-%3e+;gZKVT%<Ik&w&2koPU9ZJ#_#2IbxM)p
zx3_6==A$7@N-nJWxYP(nd1)@2>`j6?I@Uw4hlenR-dUD47{esElnhT_*8ttP!Sm7%
z!&vIsPTPVD<JgNMpS<9$I#g8dlVAEXj2-;)+daDbH`Zug{PoMS8p!T`aa^-}1WWmx
z@Zh8K6vjGU`jJaV4NCNC=FaDjVn*$1&o~)oFnQtecR$anLTz7qghIm@M!pgFxcvAm
z_NDP#8~LpYTpQpBP~{)TCg)6b;y33oH(5HyIW84=hu>pTy*`0y-3fhpp=cg!JTlK9
zazq)d=6KF~8U4YATzCYUBNs7xmEfAJS4vR-R`OG!<P>Jiyi~jM;xgvcPSlSQQG%(?
zqOEwHX{@92`~{_gRjf>Jpzy<aMaW<#m|TB9gSi-d_#MZ#fxXTctBfBZ!XTPck>;7h
z4!FLpp?|oAjb{A!uWKI>WNV*)eR=U8X6jwg6oJvhseIw@y$uS$Y(L>~fp-C0wEr&q
zx{U$C7f3wsK>@fzlWr}vEMlw1v9)mtOmKjP^L<D1FpJush`d_H+@fXgaQw#%F&lwJ
z;oF=nyK=r}PxmS&lBn^aCx#Vn`F757brN7{U2)}t>IOFYF{k^-=bcdExK}|bhyYk^
z?E**57Ph02Ive4@3F`i9H_xyTpt(FIEqoU}+-Ts<HD~96bBcZsdy3_truEhd&rSv~
z9B#IjPT_^k&0H-P4>`F1#--9WkqOL1PrKwB^MmIaDc4L)4lZ2w4VO8_3`r7^X-5PE
zVbUukMP*nP#&jql0+Fo16fFCB$9C`T+?jwczLJG6jPy5)-|vLUJkMzNy`rFgs-0me
zPZpYP`4zpf;DlNg?+)G9;=toHlstD|7FJo`MW`|G0PZ<^aJQ!v9NHJ;XIv=@MjClm
z-m$ze@3Qiq>46LcOG@5r8Ic9$4c%{=%KVUibv5n@MGkxwWs9A)<e)ky>6i7Q0F2sP
zWEL7GK$sPmg<F9f#B-Qlp-u@w)4hsAg_R2Mk(Pa&W<vnZrUzYmJfa|4*i+Z@L=m_b
zGnIX%<RM`Hg{wMV;?Vu9O0nUUGJH>C`zNTO09iwmqXz~h;UtNEdE}QWcoR<iy&OY?
zm62jMFDn@kTvg2ZPelV_pPZJstDpp7Leu-@U&?}XkSzOeBQi{yyUN~>Re@9TzxRh2
z62NKYvyFf+1$zJ3jRr-j!F2!Ql^b8>;b3!Q<LAp%5aZ7G7PcipIIlsu_gNx1?>C5K
zy`>42ob%Sw<`kgb7@uNMR01yR2De*rT2Kuep<a@jFjy=zThOHpntVoYob9yX%1T_-
zI!PPeoy*Ddx~K}S-&mVQyR<>ys9S$DOcyMJI6I8DIiARLF#nd24k$)&v&W9>gXmo5
zjid+-U@uhK&$yutcdt9$)(A6#&#b*EVKpQ;)T+3DAwnA{I)A1y4h)`LCT{+9C&RM7
zv5i-{7IZ5mTsZv!z&^Aev#THj-JFtxnz<(Y6uIF~zf6P5;@aI_KgjTjo97@og#v!=
z+%fe`W)M@%mCn*l2CFYuFVZAPu=`w>;qDPLVE@$@5RgTNg!thCi-#%@%F6Gim~0Mz
z?_{Z(lgMCLv09cmqX4HH+tR;mm_uw*flQAA30MzCJ}TFf1ut<+imavubOqvs?|0PU
z_ZhQ+U57>Cd&X10zZ47T9{wH9^+6TLsvk4#Hh4g9;`$E~y#<^pQoaAJUKs|;O#`m%
zWCS;`&wN*44xy>d%O;tM5M!=tLa83d;EYp}wzfGa)wW*0c6i(O-*}jk<c9E5Nr4Xw
zip-$LW&GVaX#!YVRo3isTg4Al<X=+T?lW_n1A~dbWWcL)?A_fdMkMwNN$!p?g)=SG
zi;rR@LC3S?tQ8X*;*k#vWFDbGmoUfV=U`E&EI%F)Th4)6ew+U6v!lV0XSRQdse<4f
zs=Vi`5jTn+T5REa4G^Q_=V89V3sQX1*B|}IgUlCin=g_80-_Sdi#$2uQ|vFx$D=$*
z_I-#h^&kc{QC8odIkNzhDsyz37%yU*3;rQ>*aYI^T4&t0_dB1Y)#yrDUUZ4xHdz0Z
zG1z6k9_eaZ!A=hD+2^&B7s;i*UnxpA0^%vRfPt|YEXsoYXU!lF${;cthrc%jApzkN
zel3I8*%?n3hB6+cwDjz8#+Cs%{`GNv^x-vDm^8zv9?OHe2VAt-%?-fq`8y}^*I#j=
z)b$P@Hy*V6b&=&{iau~H{iekaj^NV42B(}c9`rW1&Ew>_9thao^Vx4ajk{HHFUM1P
zP+EEJ#G<7hNPP%s8nK(lD<+cF({*`}FGoVopCVm2%6WL|Q}Qz2e8|2%*q#SP57=Z5
ziR!|aD-M?<!`5;3@Nc~*BX|&zGkzg1Ne4=})k6Q<Nrx_r*>Sz9<3Z1p_>41Ibf9JR
z=q0>{9{nA99mXcbi;Cq}^p>t@L)#7QDjyd{G_sc*!I;8}&dhAG#Bpgu$D{t|>tjp^
zi?SS~NbsT5hJ=^qnOd;xXJl7)Ff+nxe#r<RJ{0sg+=-^41^-F~J%%P((9P<L!pax<
zk<{XW=(~-Y@OhJxF(1N)-Y@7XF6<XT3C|vRM*3?)Q1}>q=E_dA9@F8t!$J_f&640D
zb7_L|vzzD4k~xq_=*j45dm%KIeb;;QH5H_b6_q)uT!>z~p=<A1VT3+UZR|Nth5A!6
zuiM7Ck=%@gTm5ShR2F)u@U8|G9*6K7^7rwetJQ&VKgGomBPKZ=GEafhVYR7>7GBi4
z8>JKPh@-MB%Cl4T6nJPrR{h?_hcbuNY?n19k-k%6pMMqwZY@{YuMhE~fRP^=5tCBr
z-_hq=a#0ire04y|lUWe`YHpsj@sdFy61jnyAry!+zGtmrB($ynciA3SS)@Fe(=ZfF
zfeUX_Z@OO=Mt(~(uU(GFp~+pwABkZU2p7sG<PV9UrUO%t$HNFH9_gQZew_jwCYh}l
z9mUX?lB0|IZFzJpMCp28H3eecH^Ig?apWU~&s)A#KnYe0?qZAEd5a#sX*(^69@G-r
zO6G{@q5G!akOdWb_vd_+mX}87UcA1psHB7v>g(6?o>D<&gB-1YLI(BE&9q-Xq>M5O
z_R+mm(1ct@`*qvxxw|^NEe4ZRQ0_f12eT?oa4@zqt+SFt#UDSs5iM6m;?2dr1aB=k
zH~hFZ+mL`F&xjisH>jbJ_M?7piQ3RATF~c8mPh{9gRB0yItr<I^mdv-2YNzI{Wn2S
zKwhz%$CqzuAeS?T_T!5>Fn{=jb|D`TjqJX#*$E_+_&zwpiB1n<I6l{gFB1{{*SzfR
z7bH~KihpR4(1&)<qScx<MHJ!l)7560gsdElRwb+q;F*iRWn{V%;;HC&O&ubkrB8K>
zoEHtD&-TT~Tytd<b;;7Q?<xuH>-|7;t2BZ-w>K#QUCM}~urr}yL<30`dli14Fox4L
z5#P8iRgjj#;qP=a>PVm0E%gT<2G=Ysh<-Oz(5?r~Y5C99P_dl}i>UyBq;YLgL#Ya?
zyst6lsiKNXPw<_3oC2V_6<W9PSOxLXy4*E_w(tKpXT4_=;PWv`x%>$gl*Uf#=s2&4
z7+C9llAUQFrO(p&nnwkt|3-^!|0$p=f||a!GHKv5n8ICnSsC44tDO(FC!nd<-wBZ)
zXb`@C%u%UB2?g?9@jgnGMWb5vYR-c+DAhPV6-TFp${dYb@0&}Zw3T`brtN&Twc4|H
zfm;y~TL127JSc_&9e?`CwbS69T+0fXm57X`yElJS2%$5{cJ*IMXrM<gXs9<Wk0Jv@
zB{%)}(fpx@<d{er1lukx(S0JI#FJY5AJ6b0D%1Y3w=^1@vMK$c|3D78{)ig-)ya-_
z=l<Noy9!W!ZD6118Cg^?Cv|Hvk_Bas@YOax1&|ju*lp+_gKT%N3@eW@qFt+1uB!(C
znj@(0;{H<TNnJF(`Z^sd8GBCqwTb}?%Rp+XsRRl&`mhGR8~Bp>mr+j(49vcaUH+{v
zhE67U21(DZ;0C8o5*w3D;6bn_X~bRx9oR*f);+g`-_v3EzS3z7!TM!6{8xog$jtKB
z>b?bBL1z8Eue31)9cHm${w07)Vro9DEYIV!m6)+eun}yGpU4Rg;76WZFMsM*%;T*S
zdM0114MBA=Hqn@i4_zpjklQ&wj~hrHiWcQCgx_8Q5o6sv=!jKGeoXEHzFPfBY1a`0
zI8b{#y(yj>?PO}Gk}qDw{Tgd~(`xjg*UoLL`5`9?ZE?9<&9saQ1={$^itEFn+^T<F
zbR4M2)G3-bdj;Q-r(n$xp$F|<Gv#@AcA|EVt0AwBuHl&yv0m7yE*M50V;Kl$LsdKc
ztILmW;Au7E#D05SaLlukpq*kx=O4nPT*ek&AMW+J7wLd=g_vOWa~3pSUV4prkq&)u
z&A6hktpjPV@5pS3v7r8S6Jnw!1M1u|hRyB0wXV{4_GvjYnyUZ4<KZPnR6AtVqpqqA
zl1UC824|QNqrZ95^aK;CniJRhTBHTDnTi9~y_pgJSsl3>KFmn*c&p4RRSWpCdlN^(
zm=UvZ*H_U+7K8#mlU}{ighGjFo~Gx_=)YmJo|yY=2;^h#sPEQ<#?IervYaePi9bD7
z$d4U`WUOkP8Kgp}_0K7_WEOPc&}qIPYfj{#NxohePK9jM_pBGGtjHIQ_3hiujZA*5
zsaS|o;qqOVlM5@Xs590p>%Uh#Xo`1X275yRy-)IoK8&y-`7-(12ZOxms%t<eoj(N_
zD#Nay`L`2EXxd88N%AARPY%^1LKMg>*HvmDa-d<h!W8l20*Gc)m*CP&hH$5W<TsI=
zX#e8xn?L&n5u@_2oPn!kXzzn#xm#Rla3^2Y`VnDtS+C$AuRR$`FeB2^ejaq<PTozz
z4pC&jn_(_fa=VYl-3cQY^P*YJe}&`k#1L01wwf_cf{r;KlD-iiGU#Y@D$A2V*OI>v
zh(9HPdG(7<`F;E-o{4SXL9P_K82ZlmTQmvc)%;JiM+%_I&6@#++nmBKI5y~<AVG1F
z)osNFLFDt$yQ(r;7E#Eau7el1i`SK$Cw~-#ktd3Md#OwgDbiUn^*$!SAW?c6-4j8a
zHBT+q<_Jix>TOxjKN1wiHBau;5<`mdVtIWu1%zNKO^`|kb}`rUT|?sN&w*k~?Q9|n
zTPYD=h}hP_>VsQNp(IjJ^)5AGP(nR%F<15skzrhqT?$W<MqIM#XVs4>qX^y~;ZhzH
zX#VNxoLVn~I%BlfxO!F4jk|XzY_~b?v*~4!|4|mrpS#%c2vbAlG3`6z^Qmy9lyQLe
zO%AOboNI8nqmIUcZ5S28G-35%R_W9<0a@w@WUzhLKu*o)@`tzibwV|KZ#1g{GPd#k
ztxHEnZa#fORUz7NV|nbfkPHzyFEfiUUmzpbeB#sO3>}c?)qKrFRYbAvH*|XY$f$xW
zacoDwF1#?5T$<2RLfT@sUdf^qG!r`>XriMJeM2?^^%}}(<;0#ocM=6f9AMX~eqaE!
zKzx@7rwTfFR?uXh2nB`p^oiID8v%1-*QRl^3K|khYw2wxqZWf@4Uc4FP_HS}EeKFW
zU80Kem@^p(G8U){ZJ5CQLF)(mdR37eOOF)!APLC{eN?-w20$rkJSZckhRU2JQ|KS5
zqf2V4d;fj{*u1c+W~-=%nuOT0sP|P7c`HtY;UEnpHb*APHdT?pHCp@`7iIKgEXAtv
zGYwA5I;{$BpIf)<(;pZnqP|OAsfQI!;cV&UAp)l=dNg_Sw!5P|y8OXrzk#1AWXvAY
z_P16+BRBPR1duGM+>!TQF2NKUo+M?kxhf;i)rS7;(^6>Hn}<ruDW<?}9oBx%LJ4_m
ziN3KZ6h$)jk)ubWOd-VS*o`edMa0axm}F!mh~#I=?|yYL1-Gxd$oiuKdSP~b?=?eS
zWDylnUnXM;pYGg>WIQR4a`rbk4hFCz9={V0uJvs5sKGMrtN;P=$4TB~blQOossqN~
zU!p<L6Y0NuD!2drw|mS#4Cv4i36JOJm1w|8m6vpOlR@U0-|Djjm+?C;wBx=F06qNS
zoTEZgNNsHW0G;0~Ufjm3+T;l^WS2M~k|vHO(>1SrI602r#UANS&S79ukbcIDB8n{c
z-F&K5H-Oi33k5wRU{Lzzop%0$5Mmv?^RKJ83zxM`RG&Iv0$1j|($|IrP-3fxM()8@
zTrz}duY960Jiaoh{(O}WMQPear#x%KwZ;A&a(rh5YVr&!!rS@KGVqG&C;2^o?3lKN
zG=mW|pR&5>ynnk7Z`LLVeQUtm?f#4pm>UA)tk{uL5ge$261Lg-=@VWx72sHZ%>Wud
zI~<i?W<#d=2}e%lf5HC~_<FacS0C*2zffIkSdc+xkhP+B7cNAQ9GX|vhp^#hhwO$O
z=m*29Xy4C1{0CE;ws@=_9177113o4sGvzliw>W@1=;*wc{;9j&TaFf8yUTzs^|_l6
zwMTF#OIC#+m@e4GJklO^rAOC`l6_foe&O-7x5Cs%I-n`ltkb=R4h8kFrtDY#gU9bN
zv0CBMf%KR@;pmY~yuw^oe)reEczg9>TY-z(;C_npcS_6#e*PNgrQ5c%I9;5Svj4Oe
z^xstTp9o#Y^}SlB_8a}fYhs^f_4;aoKS5S%Z^0UVr*G1x%4h-iWJc=F1DasSCZe*3
zxQ352NsO%SS;9NbNQSK*n$Z6+D@}WN72lbaXvh|}f)A+)vS@E}htbju3HGnzH7q|3
zj#aMV^gPUMk^WRL${QJf&AEniW!6dQ^KRmfb(5P<XDM)=A=jhm^cpVmNB8EsB^?s6
zFba7QNdb)~jK&gt>$vW$ozQ^{dQ_h_-I>ozf%*kb#y^AW`1m1de%CDq6d4j?8~2zD
z(UH-|vPL%WbC@aJd;}8;dyuv6LnDKbb8p)|u`L|sWKUpX%;@Z+WbTSu5)=?qI7Vr7
z2!c2RZgjAqu}24m*ceGLb>l6r%uA2@iJcrFrEKV`yiB*Ky#^$_mslQOqen-~*}AhU
z*wI_By_I(P>L7E$FV>Bb5mh)%8i)*WBD)uQcCyUs@QTc=N2kn$1~wCKvq|%y{{a91
z|Njh^X*iU96vpj)_I=4d24l>Ou`katwhB>6B}9cR*^&|oi53znOD`2FNkt)wo<AXp
zN|q=gLPXiu@cMc_oa<coS?=?*eEGMO9!vraTlcc;Kz4LR$L0N5Zy_Z4S3JymSQBzf
zQ<te-9O$wAQ`xF_!f5-F(@`^TO(>U2&*4AJg;*j(l$C5n(I`!JyUv^j1XS!at`y}#
zG5e0BX-|rwo7?-(hhEbFVq)Lp=_y|HWtwlr{h0)kbUadV(L@7YtjwK%zPtsEbc+S4
z<w&8d?Qf6RuBb!LEYq@(lps3x@YvAEQyJ8nc{6P2y*eDZT=2MIrw|(UnyPD>kVDHE
zmydQoR|m(TRrS2v!syngJ3^l|6i}mxbBRp3I<&4N4D8+_ihd-BwTzxrM6L%%Iz-yl
zVZZBt)uCBpNJP<K``i~LWDslk`JRvlWV?pfpSF@fN2@qQ8XZ*-s){QxKB)m!GE*$K
zg{2UC?~TH9{i;aO(=V=pMH7VesCVm_Wl*-y(fY%2YUrS<>c}%(6Q+KttC)z$q0lD_
z?P+@I=<9v4nEp}{kRxrEo><ExEs{gm$3+dqnunVQ^=rYzo_&ixtqSO94lR#_NN6HS
zX)t}KHgE<Tq^EKyA<4&D#KuH2I&arMnH@)gumahv9y?|9Ah&WaLy3Y!_54ar<EikT
zqI~Ocjtb(ruFbSEM?ut`{==eAXu#{_ro3%V6$QS2!k<@0MJzln|E8Gepqn&U9Al@3
zsN@!>H~VSm3+=*7`6yi&eaj%W+$N$|j-d(i-83|E^;hS-tUkPJ4EnEPL>&!C>+RN5
z*FoenDOsL<1|TICH&-F4i4O5=FV--0&@lbOvs;x$u*|A06ha~)`!_VBDOnw4tzeWV
zaMuLX-pHxSOKKt2#i)xC&uA!&>mcuq%Vt1osGe8&tc8S@lRI8*P!ZAL;}>=v0JgRs
zdf_fI;uJ6{KFCQ$QobvkPlU{&hs#_hB!!I9ZgeW&&e2BUhjnF+_Lu|5PQ8Jk1Twmp
zM&onb)Kg6DmLBCi13YC!xDL?C$ko0icP3RGHAwArd&+GAiOj?+lUZ8mqPa+c1C4-C
ztAFivUkfPfXwLull7s@GZ{>ZR61sXrJAUM@1te*O)Jx@RqHk(h-2XLhMbE>0(<h!=
zfK}qt<HB|tC~f4umFgi$#5hur)RSic_Wvr7;YT8RN0KxwJR^(_W?oISIAH-2e#wpn
zG&PjmeeP!2aUP`0^6<bV4GYk@sCVRetSX`(%`v!d!;I>>n}V?q3@Bh38k1~PM#s$S
z?fk@NagP9-;TK03AbX#<OO8hg@%QM{g?xK(_o=QEPyd=j^nei~bFTuD{O|4YL$5wy
zYx9ju^5N!CmU(ZRv%4H3RHlnm#*bnF{=_=k3V;EZ$$wM&(#WKb{q*3oX)Ho=L2ySj
zz=xE&i@}%#TFuprA}r2hx37t`OR@ow#UDx5M2I5xs%>cZ*Ci~8W9ve!6b4iwr|jf0
zAtWJZ<aXum3MT1#wRM<k2J583%W3igsN{h7@{Y@^nBT9p2co-8A-kgrZ~DT6&Kk4n
zynVNdor`i*+j+(W7_E|@{g*h<{#Et@&g4~W%+B_0Y>_e84&FCPh+;*$BPK8WmshaD
z6UFr7gGR8j^-S7^8xyk96DJ(kTEWhDrw2V#G=ig*zW=t6R`J5|dnQrl%h+;_v(BiG
zA(ZCzm$Vrz;Ju^<O8>ScZ1HKP;_Wg6NaHWg%<q}TxAM2QB<x<qtUW(-hH@G}W38$$
z=iG1HZQ$?ZC*K9EW4+LA<B&eIKK&!`R%RH_>r;x*&6vj$d87LN*64u|-(;<?d>>v~
z9?$W8U=AC|J2p12pa+==!-HFox8sLa1NoI~=dfGj7Amb5b-`k&pqDcA2EU@FZ?@h&
zi|rH3t2CUa1Cv{d%d%)D{$5jp**j?#`xNNx#pz9lP7!hbujESX8@1H$y7w%0DB{&6
zu5UUJ82m+_r|cb8cW3dz_G7b{ONFSpn3E2qN^8xH@U&xTNeQcKsk7LZ9SYezZ8V@p
zwFT!@cVk5t+2nbD&SJEy7E|wb(ZEvGU+XnbAGQ+k@mZ_;92WWFfsa8K6-dn0#;S=w
zurzZ8I%1i}67rp|n7LD7_D^f9_}?LHJDW}2wNLYyYqdLX(-;Nzbd`iw*o<KR9L7G-
z-YsC9VJ(?&PE+8;qYuwsXaB;kd>nf;Ik|{wwWfbp;-x_MezKRv^f)$<y!hrAEMuwW
zmRrlswc$_5E$G@aiB&h}5G(3du(=2`y@nHHc=i4<t+4qocC@&J+4a;v?5;+^_kdz8
zs14jv-$9<nPF3Bqck^7wGUiOni++<JS0K{K>GBLFH`=4D$Y26V?OntKDhb3R0$#mX
zoy8U=DEkFNnPJz^g>u1YO>mS{e*HIL9t+<6jqh_E3%vhili<^)0g+>rXb#FECUae1
zfmfdmEa*hfa!n0rA2y38tuA4?yj)M7x3NP~-*XP#WOeu$HQ>}Rv4U}x?U0bU$q9$2
zj_}eKh;V3Y$h8yPYnc4)<5j;CxnaSs(Nf%p2#Ps;=_<|}7~yd_5BU)<gtrzB9T-r9
zIi{BCEfY-8e3G|x2OB?dkAK<!-(fW<{*dwb><$(nO*x!nw-bc>j(Mtg{t)2Yn{N8C
zcdW3}P4U9}av_*<_paV^fdHTX?tH@=zz*}b_GlO|L_qV7ZAOn80f@J~I)3PK!i5G#
zv(B6-I9?hrO8ue=&0=<vcQm-+8R5ft!v}E~tB!P5xv2`2fVD{doxEVNEMdddDG9%)
zr+!`aQibz8Iu@S_w!r-=pAHco892k-@tV3#6}ayui+V~4!j4w{zTsdwAl~)=)(@(1
zWp7i4MYIs`C;SVQ<4}Mh54)njyH#Pq>PXohRuQ<4ZU8w*5u{v|tnA`c!S5;8$JQcI
z*yZLC88oK^DPKuS3GJ$&Ys97WIb0mdSKKeF-c*55y135|TLSQNCV$`ND+v?b#*W>4
z2rw=5S@+O10YdN$vzqhL;KhGlUVub|7&Q^O*Uf4`Om^<pdMgW+9>3$)Wi&t_(*8(5
zKM^hl%^v%tBM-*-Cs(3839^&wjlJ|WKxjOe_2^FpuzcdoJWVFU`3@!9sjr&QCn@k^
z#9RpyiF;Wk6)7M^-pDrmtOfGt%T9TfD1();faFmE6}<Dm%pDY_fVYmhY$Zt*{@RYj
z7R%G1Ufv;t6hH-N)nz{Ni~!f(nzN^|>cFq1b5@2+G)Re<u=6n{Lb7?LpYmHBh>n{`
zHm#sTl$z2vC8Q2}ex_mi?sRCaZ@T7`uLpC2u2*dJH9@>v__c5~9mcOD@HkW%K-0aS
zY$7*FuxslXJ?{=WkjquB)BYHN{zH5|`jZyKaPPmF@gE&Bmr`>0=%#Sr+*Nt4hYWjZ
z^a_(LbZ`)?JZ~9+K~MSBht&JpV7i6NC0SVqatGMIG;{!v?r5ehiBjN-qhDXlAQcF0
z4@6#kF$d1LIX6`@1>~-%*>BrJ0fI{Zb@D3)JaBt;zea`vwOlz@ySTOB(Z=-2kZ=oV
zFT_6FuF{66*rfI)F?IO$YDRhot0nMePK2`!lYz9&GKRRQ0$=T}mppQ}gyhd(^EYrU
z$mzS|J=&uHeYgI*)OXPmUYi&3xjT{ISaR&NP^%P_|B&IMUa$mXl`iSXCmP^Y^)v5m
zq%cT(s@Gc|u!JhINR(DD5gyY7xgUJxg#Y4>G}8Di;gxoK>a*XQ^R%?jdt!D8n{T-h
zclDkHMBfuot{ztbC+&AFg<4;*Zq<7IGLi+1X)P633@gD4E3f9nsv-Q!UhffFAp<V<
zq^3BIDu4=Sdq;=$0-m~ln-C+%fYAdR;b*7hAgRA6xBSBfUZ%9~X8$#FnA@r4e#}f7
z+EVg)7=f&4VPw`ggxws%nD;LIs}+a2TE)kzlk6y<<FMVnvj9w**FsOkia@5a+d}M3
zP88?);84pf28MCdMG7&3aH!biIVF<|_4;3JEm|~#hUf05md^5mLDZkHqte`HcI!9i
zFC1o&U~=;y;|vEF(Q2E#Fm6;f5o~LtXbN|1Bg*5am?4%q_hO4OHwx*TQ%SWpfw`wV
zVJ2m(Siu*M!HqsHbb3qDpm?}3XfOrm%5D0J>B8;nU(R!(jMkgD^3%<Ei#Ttvk@XwX
z$}OC?QshE+hw?`^rVL@Xhimegs(y@kE??na9Vg2ECHCN-ks<UR&KXsSYQX-e1_m&N
zaw1Aulu2Zg0dTy?_ZSyIxRjdN3msifR8&;RJoQr_EccGXkN$3a_m~^17ve;^#D_*h
z7W#0xK-Q&&<0mfC`O7wqmlLgC^oX7+)PsfEs~uN<jpJTz^;gfTaw4w3E=L+f^uXt9
z(YDK3Q#h}B>XRp)oajMp{*ZjUE-*Bko{PoK;$}gGnys~*sQZsWZObwpmRywVkp2Q*
z)A@N?%Z3Xbm#>nzA4Z47U;_)UcT4!`Isdy$Gh9fMNt>QFrvs;#X*=g(6|dMb8*J6c
zjW#vI<05pxA;SGwQsEjd<M*(gUdMyPdx>UYoA+R;P8zRgV?v~rn11G8yoj*F;rH=0
z8a(##J+ViR8M*xaXDn#A1$EKgf5sAMFt?)W!+o3ub(4zd3l;pRnE0-^6{kX!X<hJ}
zVpbGMnSNYL6-4IOBv>Oi{k<VR+F5&<4Viv*TlZ8DLSxY{xoTOcU>bQtx@#{7vXLcJ
z#1Mti1Dl!Z;o{9buJ$LXHgY2VuJ=iYY(>yJ=CSvf8wFY-E3L!rxe<IXXLY$OiXvGw
zo*Qi51uFwejo4ovbkg;#(7=coYKZqfm0O?<dkvmXTR-7Lm1YFzz{3)#s@WigPSFN#
z;@&LltNiH7gzT>K>yk*V!Ru>A3mF_OTxqJ?1<{VEq{(a5(kNLi?VfKW8Fr@T)xCBX
zLY`a=>0>#vsIq4ASc(}L-Wu?fM_m#|7rnIKJ;>jRJX3ajH<ToU)5w{H-ewVW-1U3D
zjgJD_%^Xqqn}-Z_B8b^qMGTFum{3lnD548fFPEaF$gux<;>^lTaijrVX3EV<i1g!^
zg1XISJ-ftfcvU1(>c)b5skjQN>CF0bCW8zkPaOV0ixm3Y%)&f)LKUsO^5S;o*M<xC
zO5Itm$sjeo{bn`&1oVk@hPv@o8}!X3Jq&{6keA04(~*5dRPe^d%^N6ip)ixA<|~i3
z*;xzpcB!N8>n0+1>L{S{iOWmrwE`l<9Bv%nuZjE|=UTpcP@&7@gaUiJA}WTTOZ{CW
zboTP;MIkvF$iwnKk7*^uqZ4=H%r-LWyy+7?u<0+q-=5Zfv{^T6%FThEd~LM0#r3Jp
zybjcI%a^BNs)(|pJn}Y>f=n)jtosY=!o2p_+rK^p^xxysL&rBc)M9;w-PS=5^c^&~
zYA&mx=IO8yURNp#z0J!O@=zaoN!$xt^N6TZvP`2Qmx}JUDSN+=H3VZ1WB2F>>L{o8
zH>IzfinbTHGD+ndL9O}d#j11-q)5yh`EiSi?$kBzDWaPIed`cw;2}*!m#oxyY)3`;
zzF*_tyfp>=JLBaCSV`zm(|sSOMhbE#KhyKtg@OFrxVNpRNyxmdQ9g~Ef<DfYVkQm)
z7@d3<ufEBBGa(txQk%Ru<=$*w%V!RK_vFeQ-jGmGIy2+$KTR~6U-I+k9doc_rfPGh
zk&xu?hmu3l>S%5$f@edT0Yf()Uo#+((4D;TtFJ#1kmXoTHOFZNWX}8{Z^UXMm*v~f
z*0@#Br(M0*BPtk>cAIbD(nAe2Uz&5-m7$1gYCM*_x)|^;&E)>aJay#B8!zr5FNY%e
zlYVaNVSs3Q>^r5CM09NML~k#bB-$OSBi>ZY0Q;N@u2P~JdT&W$oOcsJ7u{){&gl#|
z_ufB+sZkYiZ`qbt>A{cK8&l0YcQHV4rak7=UKONndf?KcI47EVD>J6g%m5w3Ya&a1
zN+@>8wvRf<gkDz`uEITYFbQS4d(&4Dy`M<h>JzqzpMS)($HCkj5<+C7I~U~9ynnqT
zLGKS9j;Mkb-2kY3+--&?hyEGa99$Frfy;Q?Cxr#T=D%qF=4gsEs^)su_-1zt4hf78
zAsZNo>j+IU2}>eiQ6Ary7lHkBuFCHtU@-QleLMbI3<aO(@}8-y#|}#lJXPIg29H%D
zOqMf5(CIgHvA@?oVS^(Fd$P}&LXO&(vZ7oe)DPQYri<FKXAK9{MW361_Od{&_dNl`
z|DmJqtV0J@cq;!J_k=O@l%D&h=FPY1mp#=pob6bAn}}qohB3VS`Z!@n6gN_S-(>O8
z<`ZVKK1mk}GJ;T7*pWKKfs6=E?(w}%n8^kE8IdYOhzYJ{Qp{jO+h41?JW;^0v4|Z$
zsa%F|`s7K|`cxJ)abWLum$U*b<Y7k8em4WyRXv)m_<;%anvD%5s1)MIww8L(U+BZ%
zAG>N>lGpJ%Guy<4XSMi|9TF8&V*2psoQA@O$yI!6K7E+=K`VYr!O;3(gdVVN;b;zg
zwv0Pk#m%h$=)heVp(m_<=tB4Fu(<Hgi@5Vffw98sSG)=nEseL|^eN%-Cr7Ln@Iu0n
z@SfxWysgPJXQqY@*)05tr&;ImX7(GIes_lO>B(E)188)3*($41%RYy9xkm)QuN=YO
z<$mnzDAEBx3nyn$>skD6OP>E=&loPoA9qDSO$V$~o%IFr8T^mWw|jP6lemJ>6)yG%
zGzi!odQLQ81~-3U!TCvL3ZFQ+J^GFY4HgAXG#YK6!7B^Cu_}I^#>4M-&VDSV!jkIT
zg8iNuoHD7+doN`cFCpABi#MS{TTA1y+Qb<=j#}oY?>UdZ4B+A_ZKgo1rIB*s&ly~i
zu=Z|k$0ANtj~}yhrGRRxRYCEwSzO!tevbF9WqkUv6eE978``60g1JTJ@G}=f^EDz?
zadtDAn$sfMV0}jCcHGb$p0q~&;rMn9U*x!OK-QKFNh#H*J-*K4H`kc=XDcwF%>PbJ
zWnR*P=l7eo`7bTtcTY!^S%)*Dv@1oytRFY|V4QgHm)R0Nvn>AL)hG+fD`Ah0k|6<;
zNjov~=`wyZ`uRPx(`<;KD(z1T(u7p+?1FN;RlHkk;@U1v4m6~4<kpd94Y0LdzqTN`
zhDX2ft$o49g<2dmJv_BEpg2RjCP`ugC!DgWJ;TL=F1_07m7b{%vhgNsBKMgP<wnTv
zKSq2=v2L(Fl20Apj9;{h`p%3#NrTPvJN$@<Tz<T|M1;^dt8e@1tO(y7XYG1h5IHez
z-zqIcgo7L>c&s0@q0$WF_p)1rk?kkD+ZXfIpy=*Ow6ZM+y7MvhlIwq)`&Xo{sl`x(
zDj6HHs1O%=;lyFH>L7-Et6w_#ZE|Qx`n$O(79JF`T$1)jLjvu-@6R^=kN{P}z81{N
ze8`ien?R>Xq40|qArHd|5X(2qbvB$INq+1LM~7w58E5D79Qz2+e@E%)*%(3OIi2(N
zP{XDl?g<S4U{8QB!4>n}Lqf<aL&Rx^mI4|*PH?k#Cjj#!e5}h$1d+M_2-DIOQN|E|
zyIT?gjD9e#Nb`sx`A8019${tl;#Et<sa^ueqJ$#8&*Erl=ydu-u?pHC`Y2ZKQG><m
z_iG-wB$_fzc&T%kfSNxi&#f-1L0wxzv0uA1>LiNV8&NjZyqW;zABj*>xqNVvUk)9}
zb#&wt)j*Y%6@e^+>hPoFYW84=Jo>R+kYfus30*UITo9(G3ECEQN3+%x(E5v+pXpp=
zRJkza+txt>?z=I~6elIL!>Inn8#W4J{r2--Q9T)IF7S<Jyi`U75yxLLF;P)CiAm~c
z0tJjO-cPutrHVG_WwgXURK%#BG9dR*p>K(h@}`i0avfxa9pBQ>^V~2$W>+21zhK)<
zBoNVbi{JLKb2><pZgy@Pzb+V*MRvI4sv}~Xu3j4-9T_I?6Caz<gHAh}&O=<9NPBou
zO6o8jQNLzXKbkfG&s`x8za1c<$a-RuQy3jR^f>>#RoEC1wx8W6Q42+7uM%1f=_t>z
zsc?{C3hpwWuE|{>qxVk3TfRTiLBAhp*^)vq=-rhh=V7CbF5f#FW70%Jqr=rtpaGz*
zfJe3FjW!avjLEO3Qqj1t&9G;UIXEh4CJj$(BcTKV!kiEV(SDf)dSoylyXi*M<rZ!9
z(BSC3>|zp9nh}?gvbBJ#fg4@xyR?x>fAw<RAQ5fD{|@7yEugqDtom#`8TmZkNq_cN
z1zq#LA96y|5<V&2U~u|rp(`sj=6sv|X{fyv;I-Ehl<%r1b@P(Y$s@fkZl2PJy^llc
z`W{OtTsAb$IH`e(7gNo+_lTge6lEXH%{+mbm*t$wh-iY`Ezz~Wjh;0hI#@nv0i|r)
z0<Uxu&}^1AHruv_GiCU=Tg6&{e~0BTV?+g2#7*>`HXgxqmuFjRw^+crO6OxPGfJp3
zN5Je5TN~DxUq|z}$^eeE<+~DWiYVZLLtRn)6qaL!i5=i#fWkyrXot;K1ka2sPBE=u
z1L<#vTh5sSp12@@mq??X*VBKxTxNoAhRyD+iva1R62udB5-8xK&aka8E6gm2C7ulh
z=$6v!HdGWvAMQx=pto!w8r}cs^dJVy7GHyI(1cJu>>2dxVh09O(2=|`Gx(!4AQ;KI
z1r?T8=C>c^fNkrNdFrdC@P7PukhUxrdh#GGoOGQ7wqA-orzT+vF??A~wvSj*wu4eO
z#BhM3g}?6}QxkA<%DS4pcLUEql7%f`9MJVlScP=l7znBpud@hCxYatJ=$B!3F!(9Q
zDt6xpf)D=V<Eom*HR}@ni(=RzcTV7;@2DY!xQwKAFO1?RzUOFck!6S1-#Jn)Qw(80
zivqh~@HbrFZeYs>VgsF^hMhlS41m0?IAeT!9j<PyZ0Q-!279mj*v@{@hk&O&O5*+1
z*ij1!E-!O7;Hz<2wA9rH@ATXvz0pogJ=Fi~xGEb^gVgd*W$J<ZIq603^dDG|r25n+
z0vjYgafvcy)&r*bZ>Lx?N3r!>%Cey~8`RcTk!^x>;iKU8XG*e@SaI`nV(kSs@C>mJ
z^&6x^s&AR7nd~%XFC_Kh;mBs5+Mu%2E_8_D6zZCYoyGQDYjkGwV~6qda|^q^=)jcY
zhflfh=CMT1g&Qq`91vm6Gu6Le2NvTD%-Po#G1jCFS(aW75HEE&Bi6skgH50NB~(|i
zMw9G2uUa@Eu`12_k1q`Z=ZhmqJN{v|hw4rBesTfZzl^@XWh(67Uf07PwvJVolx+K<
z%mY2&=zj{5sql%7OyS$h1V%eq)P0h9;asO(=K}&2R7B*w@*|kx{1x3h&y}`-b6-JR
zRy_rXwK+eCk66GoDY|5Fm>)|0&9WZ&P~c24;dK85E0_&BW_1P#La4ss5T76gjs;#9
zS}|vbckj|StYU;<?0N}_5Ty;QAX1k9m;?GgzoN805e8JV@m>8V8Ty*CwsYug)-7#J
z;$9H}9zm)-^8qrHJ7a$wI=R8i&;3-%5it-Vw564Q(}KM1Ip-=ecmXwJ9Jo9w4o{6w
zev3P<1tEf4g(J>xfpqFluA^C!z+JME-Y=j9GzE(<eU}7)V_jj1*;g9g>~u7buP4E-
zX60b10YUI5C%E#t%fkIY-QE+)B$#YTVeS(WhOpPdCG!zm;arEYAKP&f*pK9|e>o@u
z3w~|O6YdJY&r0_k^&&wJz0czsE((D%f|(jO6hZ4oj4Cyf1XI>$_lKB?L)z<yy$|}8
zz;uu$-@Swcn(3az@*WAWn0<4!-&6&Hj(TP8<JJQ0kB%D-X;P3AlBiSsL=~)0+7$a=
z)`H-&1-_1BGB9Z-sUSyD13YV@)y9AfZHf{a4sLR=AotLaffIpy4QdA@v?1rm&LYJi
zd1&krzdOHA1J3&2xvC~X0cA!L)#rl(EUO&r$eYuIIqA=Kc8CJW`@bI?oK}P-pXK91
zSGC{+m|2!yqQXB`HY*VYW#~#F|1gr#1_c3QUaONdh!Hx~WbLd14gdAFWN)K@-EK=?
z$9Nrh$^Nip{F*8}qoh0Bou<G~v!69;FE;<u6uE)Z?+Ku^#(5wimI}Lh#Le3I^gxkQ
z_|$PGBBZ>&+>$;;g$p7VJj>(sL4F5ow!OMKgsxt(oz$a&aB-28v8W+LCve`WH`4$%
zlMz!{dm3c1+K1nJxyhTgjI+H4n$Wddd#aj5gM#Fc_VoZ0h#`IN+9N=MME<@t(>5xE
zhl%&wDVV{njCPvfOA_oXg^DbL&3LDg5^oa*+WSf)?ol`UVEUVL{0If4mACFa^$5Ua
z+{$+(NDEw>-x~xxCBx@q%2G3j%t33$XUp+mEnu-kmvMa(q`6>HH&)GI>x(3BuFX6J
zZpH(4;p$LB@3edp!2sj#oyO~>B<R2=|6Y$LfQ_X~sL~e(toZzD7hBK-y^l3qKh7#c
z+a%k{Jz)#@9{>RV{|uLhKh=K}#_dg9dvC6F-ODBWd+dgcjCQ0!l1f7)k)(l$ghGl^
zWJD#=_heK;MEXgJtO}Kpk@@ovoX<J0*XMbj_cP4yI^)l#1Lw~NunmSQ0rf|KVzsU<
z$o#(dnf0p{q<P8RFfo*cc->rx)wG2X>g$spNmSr}q_4WOMI2<C%O`hn*@DWH`*NPT
zCTLu{qedAKhIKw_%#daqP^l<8bv#!c77pDsNv89{$ZPI^bx}5eVK<LWNvOdEZx*S?
z)vR#4INIDp!v=cRU*O1zQ32|nTg67R(?n=ZPU91_hCaSP+3^`A@C!EfDLVF(*ekyr
zA?RTZ>%&~dcmGg;bLLO4-dfv6Y;4yu^6CeOXDRCLUy_Ah&eHT%na@dh<NEIRVSw(c
zkH*sG(jdFcpCF(2iTra!CfItB05Pd?zp&d9AXD5WAatUiRG;2vv|pA0jwzvEQ6^##
zCMmo))A60GeleLyv9bbZACadsOCmsV_}=%$dzcLD<?#00X9=aYmjzCZu7Z7gEVF+e
z8zI{kCg{y67O<h+-=A(S03+3G6qWrWq}wZ*vsDe|aD-{Hd2oma-W>g<e<ymF)GWEr
zrp0Lv<yO2Uj1f-IFpaZ3wETnA7_@R9cQAt=p=EXLHtax4+i>!lz<1KHp^fWHf+^g*
z=hM#qg9R*3UE3D%et;~DG#R_sZ33^;c!q-RFA^U4{Hd0KeWXU|Cgi1?fWQ2|{SP_k
zh;X-D--7Qw<jp6qdMYohhOM2CvKu<52?2o{1GN)f<TsI&H6cUBP<tVEzlG#qBCwGq
z#hUVw^o<f&TwY@g#=%l0vQNedG0pW$&%EA~0-UzVvL!~))!4y2==FyPd$BdJGo^uK
z<OJ)b${IoA<G7nnT_c3{Nl_Yg5J@Lmk-YU~ChX_h5mYergSe!w;w)}cN)`_s^`2NV
zg#B9m0~~=v#H_5^Zt=X6Waa1p+qn~lklFKY{gLeh1aWD9h~K9N#OEKy8SUc+V6aat
zD7B!E&{|>|?t1o|AcHqNd3o3Xnk)QNlbyd25l5qQ!=Bd>;^oYPj7bKxs{Hx(-Mp7b
zP%x<z^lc=jUq&x*hce*bX3jg$KYk@_Ou|`Cj<pg`D#}mjvN3?YJ6G^?!51Pg?$__<
zY99!<%IWCX1UeYKKXcJ(q?>qqO~LY&*M9_est1EzfewZ~#qV@4cN4qhXD7)kUBqy~
z`E>DJ`jD7B)EN-nO>ECzJh9yQg%GWJk|rKUgH89?-e)&=6H49dlQ^<^2`#p`h;LPT
zu*)lsF|y|i(ey0j{Q6ye#Jud81g}Y5NDPnM-fsVuaGzi6=59VfypwJ>^w8G@c_;n~
z?Vuh)!ook%o-sr)m-s}h4(otY!p{8gpkCtif}rHtH9v^&wNl!_PqpFN8I6-hYrhe*
zIdbfU=Z6WSzk|!$*|lL`n)~Zs$39}tM>VKoe3V!mP8`_lp#?JOCd+vT`U&MN<2RSC
z{2{6wBJ4sRP(f`XZ7coB0FhK6(yGQBC-(d_5Q*ia!o`SVYl^gn2(|H+(kYxE^j>z_
zM(@=G>Y@y`z4=Z=$6rhL5B^J>`{EO^@2v(XzFK{%GxaAiu>C?$lhZVD=v(l68dC!_
zA3Ya{y*@&0<c;?F=rK#YZ*48=y{!()3P+nwTYeG0oRoX+UzsD;%A|-~kWdG49~Gx#
z%43AZ>Sy)CY>Na(P1SePD{7!I#YL44A19hvB?sP=FB3mpxf;a<)qpkpMsoSw1o171
zy^`CD75@4BlwOml3coIUIJe&VOB{Hsuv%u84LCQ@Vg#gBA@Jz8xShe%L>#AxTzMS_
z#Cj)am)=u>y}zepYmUwm1~G%#8<7hR1?OzZuuuVt{O*!Z_vZ*poBd%ue|X@CT8+A6
zr!t((I_J$Pvq-$O`<MH4Ge7vbX8rOyr3}xlnqD#AE)$QK$KI5%2*Cl@LheKjWsqPn
zd_#O#fq%c0jZla%JooW!_}--iNteFFKV)NvrvjeL0Z|H^`DUyhm#zfzlNEY-EgWEO
znsX_<OB9rqDN28KD?w`PR7GYZ7t~RtXvOcufmUPf^TAvR(vrOzX!AS}pt!C%;;$sw
zNu3qlrK$uU%YxT9?B)l1*W(V{t}?JTXzezdyb?UtJ(;G$D+Fv2>j!-Y<v@sO<hoN=
z3EHB5Tu==ah9<MT9nlqvaJsYNM45*Y<eU8UVp1qDyJlwN>3zx|5V1<_L531k&_V?B
z+eG2L)J(*G6jiwB$W?oledXRwjy+!0;^4Y*+10FXB{w#$7cRJ_4B8Jo%YJ>3gg+AN
z;%Yx=z=qjjJ;Ti^@Gzs&tyWeB>L<+Ef__rL(=E3;)Lj+YHu*_pC(8kQ&pC@cc^%l5
z`*rreL^a4TkG2c4RD>>8U!R&lJ!p1FTuzqJ0R6&OkAnr2A?fU*(XkeN_;^?__U61M
z=y7=Kb6r&d)rF}1IC%yHZ1FM>BD5hq;p>yFdTJ24yC)^y)c~GHbuo|p(FM^-A?iez
zItbjmGr|Zl1bT1j)fPTFT)Yr-^7=JRh&8N!aVdrgyf=TpzVn#@a~huo#J#k@fAbrO
z?FWs(fiCD5H*5&`FK^^8QFI_<>m%s|1!JfS9HM(MjiKjMmw68A!tIQkv*H(wVe4}#
zre&!K9QT}luIEMr;eHKH|8!%}zmtSY9_AoEHKt+sSRWeP$xHj~jG<X#?|M@{E3nz{
zpSD>L9aamC$(5Wj0;|xS0nIxAMs4y>T>eal!Z#nB9<E`6)B4jB+wNM!tFxMWF3K_>
z=j56)n>+(ZK4Le0q}2vIkNY)sQW;=zR7=S;mk$5V-R`e_XA9X+d*21IFyOD??~Kb8
zx)ArwEWIMt4meZlJeP9l;OgwFzqVZy@&-<uqOv`>-!nNNDolr=;uGqJJ5-?UL(c?v
zkUfkY+i3S7n+CDh*O?TL%feaiG5y^U_K@hKtT5H83ld7n2hVm>z*2wp&Qn|L!Iz`*
zwS2uc#Fn?^rtjqht(v*v^E~#j&HqiOa{?92cFsA>{u?El11^?zU$X-XzY_*tRvI9r
zBkhmDeI(n^ukm7jJNPJdpz`dXDx@s7eLHw~fvnkd_^0YoTi7m9Sl^$d3<#I7jO0Z3
z5aHAH?KUtIH{I8gsQ^MZyQ(UV@Z$^MvGq2zfp4Y%oljjS1J21ly4$a<Lj8sl&Z|<b
zL3+Dacet?x*az_#o12QDUpnPX^wJ8q7}@yy?x#S>W&R`f8Whx)(!OjT1aS3JrRbA)
zf-v@0=K6Fo1qWD?W(1oESnCyV^*>*3C=GnM$8n5;wyCE~-!xjmtxUV7&^T6D9d^2D
za)E;WlUYpWXG;jC$shlEX_k=Q#o<=_oq~f-{H@;qETCeJBYTI~ZzAYWUF-Y{3f_JI
zQ$Vc0@S;XT-2z^588p1+?IP9&H#+pkQ;_ew`~59D%;8P1ZJderBT{Ma=Q&~r1;1?c
zKJ)RG894FYe^ENtL&k+ZTKCS7f^F3m38}wLAt3&ZT87Oi$sARs<x5bImFA)O*xnTC
zRD<s4=1-CmVeavnycE1;!d-YI&jcjvH%gA&n<YzfO=TihQBX`Ur<EpX0!9DM#g!T^
zl5?N7$a`s1a6vWH>u~sLFi5fI&n{*`R*Uxj>}?c`e0fEqbHW(njjQS`v)C}>Tg~wU
zxfIkmb$*lTVPhDxwlrQi$boyEH;YDailTx-!ZFRiMxd}|aKlLrE_4lye;IH_6t#B;
z7`8^Na87EYMDaUrbpHKoCYK_Hs&s)Od0`_EFS-%PeUKNUtxcQ~NHIL_CZVR9&xAuF
zA3pBj=EtzK!Z&Bmi{sS?omO0qObF7reqZ>G07hJ?4{Gs~K(Wa5rlnCs@VmXcoZnsu
zWhZ^C+jdLhY47|2uM9&_xV~?wZG070S05Gn943W{H2>WPTnvHgAYNAgQ5aqA-wPW*
zltzOL`+`CNLty{r>B0I!1b>^G?o*zZLFSgil<YPG;Qr7RzomqN`$5;TW{(_(tQiXa
znqvUxnv@rPi$&4j{qIGIVR=mS>=%?dWdK=&p<@@S#Bi5iK1cs0MLd=N&R@pc0HlT#
zKJ$GN$69kT)%lJRrn*$Ckj@71fJeJ(hEo!KB`OoB3CcKP70Xy&X8^)QS~i+?Qs}kE
z_N;Y`3KravyZ7D00JgL}3#F$><Kx*Rqw}$<_;TB<V){V?*ib9oyJK1gsmk*2!;;ld
zMq+fIZK?qr`4RRiD?ko=HpXjc+*3zo^?MBptp>0<L`U?*m^^lH8M-Zy8W@+57Vj%(
z2nj(&SwrU)(Y)o<R7000Zqwa6xjNhs<c8ThX{k#1<eBtj&LkC`3s*bdA2WpO>EF$r
z4=JPY4=MImPHl9mzHm1#j0y2YZ+^ROP{HL9RljzA9aO$@Bsf6E2<}?sTCS(5BK5}X
zzP-yjc)-Q<n|G@b#2xI+__|6B;lqWpE1z_+z-+K(>4q`9(v*H;^hXWd>cbv>ysC#j
zv<+>#EC05xl1breP{*8XHZn|=hNJt|oaQ)W0yjpkd`?T(z+H2R=55h5JTk1;TXn<~
zPXCxl@7}J7|Jw8YDhp|t6?6OBjYu=N=(ndYQizIG+2Ua`X*68NIuSIRY7R|QuN`s^
zs2BkLGeOog6qu6jbS<`k;%A$kw(DqNult!$m%Dm6qAw<TveptFoVRu}PtZaw?QNZ3
zUg_c($F0#%O;%viDD%?1MGLbv4vh-j)j=+H_q%O%1avS46K;)YVOr#!(&Dw+7>S3y
zFKz_Lk(*S@{-%ZcfoF>yE2+q9@zIK{9H30lE8|>=7Pe|GMP6moM26$No5>v3Ab8fI
ztYNbjGFbK=@1?2Z@hfV94{WUAwr}`2rJIWL&gOQGPO7-|f#<<v2d$wyUUjRSB^7g(
zKZZB>DWf*I)4%VWHJp;o7Dzs$iQF59N~B~JF>`%sW%@;H@M`hy>Ak0c2Cc8J?M{@%
zCxidYJHxG^b!a^PPo+9qZG4gP7Nqc6O{=Dhk2SE}ymRPhwHn@{-bk@F7026)oSWy2
ztikxTi}B)PRqUD!>D+LZf^*#}&t{haX0>%GTKOtyrhiOnqmnS1(_Yu^M*!WAPo;#@
zSM=}?J}{^PSdn;R{l-uLA>l~t&v8oFQWH_e{*(vHvjR?E)CJI%;O$>8q=*3z9>yIT
z;KWdZegC$n1aw&`iVcg)qrq>zTiv<rcr*P7HwY6jVCIu?&`1_tDY>>y!>l+x?$ge@
z&kBwjlvpPpmd0%Es~1G_SuntNJuRuy5{^6T1g&~2iPiEQs(hKtq-d<<!*#1H;q=Mt
zSp~Kd=ou1YVx6-@wjCupJoj1v<EN>#-&Zk|?u|BSv|S<(zdJ;Ut6t%XoCWW+3{liC
z_+w)dv_#&DRI5vnG6#oawf6;2Qn2Pfjei3I%Op!%$&2<AW-!1eOVc?af^#RO5@NVn
zFr)1AY;mV49IiYV%atOG3v!bQo6A_R@h7K`kCiFx2=vWZytN9YJIe>H&#_{=u*sBg
zz6tmUhNs{55W*O7<=yX(v*Bk)^#gt4CJ=u^YRnS^kuGyutLz**KGDgE`5n6&-u*a!
z_TVl7)L*VmO)BC*T6JI8`Xysf^C;ZB@i9Lp7d~s88RtaZs|`s)p~fKbQ@j1DDL-x(
zp88<q%#AK@8tBfmMlfH@o;EhZhYyOCcpYnb@I_141=VmPi1>A*E8s032HlkIs&wPS
ze@X9_3pkA6tVHTn`*uF0dw!C*HOG%qygN_uU1b8tOD+u|PJR@Uxe*vl3ZhjrGtys;
z38|T*GnqU2abc|TJ@4&R*jDVBJ@ecUT9&S@mhIukc^$iQ`!-?JcV{L}Y&L{OwPusq
z7y+#My*B^hfC#$%ccUb0-T=(J3u4DN3Zi*x>F!uwQB>PhbYVlT0a*0^>ELq^!Y3Qq
zCTKQdxKr(Z*iLtY6%N1o_LBFi6^>CA;Y$=p9-7Au;57hU)2#M67h$|@P6nR&D}e&<
zt4fc(V!*F4Q&)Bl5sa85T}BT};jDA<<|~&O5Fs1h>E0xQUsDP#)3{_%+M>(Yd<z4<
zCtPSedY^*MtQ`O4J(0yXMM~!8bOsFkyz+MXhA4VTrtM@oE06K+Z!l1V0c>^(=Erka
z_Df;Yv)`|Xqnb{^4U2Th*xsiUT`P|IF+TbpPn58$T&&c8nhrtCp}E|D5@>Hxz&~8C
zj9s&3hLH<&*xvVVt&O7;{&LqD?d?-R&FXDOcdyJB?F`;~txy_|KC9|<5KzO1$D{W|
z88e`0=HdD@Em?GGF|Wx1bsR2;_|N+w15RY_Vf?O^!!Qo*yX~hnuxV-)nf#OiFX?{I
z8~hcpW1g3`h?<yEFcbAy!T>HE66Nt1Q$l(u+i@Q*Eey~%IN};-0H^C|`3s9m`1aj_
zGY%_0$zfk`sY%)p^!2{KdiqBhle%Bc4M*#s-0<rmH#7wIvN-mq-&L@v_ThYRu`Y_=
z<++s?$pm>l$=gZ&s%T@C6!N!L4@2{AAj>u*Xz2Lc<kYK%Sy{LGQz~dE&so{g=WGmy
zO|0PArH;Z^LtW~l_0jV73r7Fe)lk$m|1+{#1KV#MI^QZt$DYZa3o+p)z;mL8Ci_?u
zo5X!$P0Z<NB+G9oRbmS2O>&H-%Tzo*(OZ&lPe<h)3Q2dy%z&9RP*drog{FL8TSBzx
z$a|sHb7HjxbTR3sE#q3a(T=s*?TtR#bj%t*i?9T{Zn?uF$F*@J#*UislZMYVcLjf|
zvVzaoX67tEXrni0fY#;;Jxpl!x&8Mi0g(oU%sL(&%(3b5a5U4!X@`#r?;}=xRn$`R
zny?NQ9hm2<J*kb?9?Zs4X91>l%F`5vwXtPyz@JNzR2&#Rys=}4HSB%ay4mTPHty>!
zZt3^YKpC$1`tuL1A^z<ZvlLNn4Cu>oiPBcX)4{J)M+U87WI-Z(z)uU?Gk-L?{#M3T
zN_BZ9mkr1yE(C_8uH;VXPu|Rvir917?RUPg4d^G|`<aldiFfNRd5GD|VvozaB!bfh
zG}mb#QcKgokF87bKQ~LFeg2us2Se7tB>fhWLe#NdDKvqrUKFV{Uu+_tT7#J6ZCPTi
z8YZuENVZ$?#Rh?b@bEBecqF)Ec$26qRwXba%dYdIoX6LoJqFfLeYm;&>StyAmV<j7
zJGl_p)jb-&0X#W*M3w8F5{7$H_OIz@!;n=&nQWH<Zq+B1D*jbK?`Y4rTAP<i+0n39
zymSDyPxPC~C30vSzz}$3H%AW5Z~ZHpN5H$@v$rKL%HY5us#ApDG+AmmE&u4d71Z1e
zb03Y8!lFkaXVNn!Nx#_MNH%RNaPIgx%aJ94{meV+?G@wXJzlPv)Pt6=t1GvX-Xn&6
z1}yFR*<<9a&qIN0Wft)4?9`Zp!wP>of3IrS8zcWyxl+)$U=F*E+l0Bdi{Ps`v+HNq
zjFH!V{4IU8)*N~Q^?NWz821%B=(T(tBk74JuqVR|MA(|j7b}GDey}4erEZ)IRCX40
z8Z(8$@{fya3I%Z9Q(D?=d4jxD%)Lu<ohb}0neLYD<3rQR>p#wi{UtTuW?l(j$(PtL
zChHF`UX;$ee9Bm7niLB<+_9eD1U!EAtmfk8L4yx7E&9B(r2c}**(<@T!9~UXe%o&@
z)UB<0T_iL|&YA^z5MPbK>bDQQfsYHXwrNwRRxglBA0BmWT+!nTv7*;$n>cadBDI(;
zdWp1NyGy0EW<|fO&aMV+9B5dyko6#h1;^|3M=zTjfvJ6<Y<ma?vgX|_>3qS8m;QMt
z7gjK#C|8$Fz<~oL^IanUNwVWp>yQSj850!p*I>OF2cG!!x+C};2j1;f1Kt%saeIAG
z*VcmrKUFXGiEweDMMJj7_H~Bv?A*gv<s=SN*_GD0n8l4>#^oE0KN-Mad-{egV;nfp
zCAC=S#*16~>+{M34M4TfsoV4jCr-6G*L+su#{=?iN^=|r@G3Kx79h%n0hz%YVpa)a
z^(NC!=4}QDxv%*&@R1AA?c$eirBzt;B7~Z0$AFYqt9_=PbEDQdsS4FXVcZ|$L57Ud
zf&0ncQRYg%2IJMR2i+n#MRPnRnL&rHyHQ!^fAQk`)^hc3RZ;YeX729UKnKMNT^~^k
zetcpUoSYRchEWc(ZuUHMSn|wgu`dxoszY_)mql^x)Ap*!Pu7QX$*dl@UI^Kvw)jP*
zNMh>o%n@%5eR##0@sGwMj0)qy5B98;MosUh1nn&iV$u{7g;_*U{?zhCTLoFPv0zlS
zMAE=X(NsEBh=N}eWA5jR$)n5KQ_=QLG^l@DIn>D%#Zo>0lkIwnDAiW}rkh5Cluut+
z#*d1jyJY6r`o~Jx;5wjUq(cLZh4a*(P2wm-Ze7e6R7T6|c~SOuG)NSFRZ$F*n5f;d
zK1EX%_c*Io?L18bRyE%S_EsqjJHR(|EKCiTI*h%vyJ*0(BVc03DH(KS{TlwUTOHYH
ztPk$&)Q8~hDvBR$<Zw|@-Y?ck6EXhlwR7Bb;5+ZjHLI?GNgAI|?|enY18k<z-$LlH
z??8!or-%|BHHfSfaL~qlt?JoKHU{+Gs2|{zS4Ktl;xB*db&yl<dBlhN46qpY_v1BG
zK~=d%oe?WN)aHmO-+9OY%D->td+WBs>#8?>HssULxG>l$*TWFHo2?&(olryB$F{1?
zGx`|(I)vf9b)_#e-mZ?xR7YZ4dQ5vF9sNpLZ+S%;0muq9hu3J}FO7BK#{?Ky9(_Mh
zyxtfTGb6)fdo?j|SoHdw9|HqKqjGMmn?Q$*`FfWzD$4kYX64*u;Iz>It7E1qK#WlA
zwoxrS+4b6umdikLqT^(sx;c0d0W^_jZM+jDcRf0kfmgj-?&m$WfZV92bj8a$c&6ct
z2S_uJMXPW4r>zy_lF|8Lin^#VevI4gEFFUq=bZ%V37D>9JZg#7#lwBh=}!aou|K-$
zz~fYa3nf-oOOJH1+P&p^_fb7GWSmavH?aoYPWNNy@9Sb^U}Ei4st&T5bFPxCvxdVj
z*6#kgR~M(2dHWKws3;KL=CzM$1MAK^xaa)P!RMdfPrVsYM;Y<w(~hw=V3@VMHi@Z&
z?tf!;i&0hakHLH9^XE43pnL%LJ8NU}>nV=V03~$KT^hA*vw>aZ<7F2uwD9Hp;H1?R
zS+s}_Z>?&wfi9!yKapHi#98`Xp&SYPwpHsPUy%)z{AZSRrCbB6-uK+Nrb@w6L%Y+-
zP#d`EVxXz%qK>}P$9w8G2w+_08PjURm3M=z22Xxf#YX`~S4a17qJw5rU|)|ly!~mT
zDI1`Ir}|GFnwDNBUH{WrY>cvoUp688-^?oE-2ADbhsUSL10jQ~1#&C>Zf@e-5hX=D
z883c|<KPG>n0B~WzYJiTvY(B5fE=of)n;!m{!0FJ6Z&w@5x}9&;9+-%H1=7{3`?>$
zkcYu3qUZ?$<Eu)`-uX+S4{P0^&DkhofB&DZH$7IszxC2!poTa;()ErIOspa3(b9&}
z0#>le^`U2uuqf^+p8v`mZX(2AFBZMEu!O`v;@4MEMbKh%>9HwnCCYvK8?Oahz?NN(
zyYoARaO1$#?$x!egsX3Mz}JW7AlM<!f2M*TM?7<dZp<|k@{;7mrr&0e+GbKEHp+uv
zCInr2pS&jAACZ;bMrM%WxVMw*5EuHDswCNddO<MXn|wMQWeRI2Smh2_aNrVyc17X-
zT|(yH^OuWlCh%fQ!EqrMHav0a#pe2`T=IL)p|&C|6Y$NN*>o?51$!fU3rw?+oOaEe
z*b%cDxU$Cn{@bzA(*p6PVPX@hd0eu-bI=(20-dOQ1M_6)d{v(I-VfxDmfFjI))|9_
zYmCZd<3CbKR4qd$t&8Nz%2Pj4ZUp5<;#*q;W=Wet&56XoUecwNFT_s82xde@_aDug
zCf^AgReiqNPiE{FJYk%|gesv{<<QV6vNe@Y^DQ|<cCaRJ=<+ea^VwM?yX$|+cr*7O
z<5NG$IDB2kbIuSHn%GaXPE3+VGmmU_HvL7~+Vh?(V>JZZ#+bP~=O)S6&sVpeaU3J5
zV(x_!(FSn0z^dcRx=GSMlYQXg(l~jdYw55ej{(G5UXhfxo+PIV)?6~GpCrxh-Vl6|
z$N<?wJ;tFulcY%N`+{}ZQ)I8if$~8)21I_X^S$+GlC&`_-rb)#Lss_j=fxG$A>sS8
zAb#z?<b!!x(l6^Dsa27=t&pGtC*^j3Uc+DV>3WTw@lEq&AOGXB=t6yXD}2XtDshVB
zd?@~Ni_#K#$I(XWW-kr4uPNi<jhrS&OY4S{U0BfmgG)xCENz90O65;npCRj<<D$Io
zvEn9?QOUPE^x#WIGnaekEP1KI$2&@f9sgM0W{BU@1*5M+myK5VOxmk|=cYmq-0Hbt
zSv8{rcWcVGGrr7|QeWIRc=>Q)Oow3JqKghZVBV?yFK?0j9{>RV{|wi6IMsg?2XK34
zbFaPbwf8lyeUDYiY*8AbQc{tq$O<7ND>H<IjBKIu{iuweQCV3fl(H#g^XuR9Jm-&d
zp7TD>^Xi!pDb&+tLOtmgHS*>1u)$ve+BtjJxm)ur%!VvTM}m=|m|q^AyrNz7n5IJg
zvj5F7dhA1~4!nU>k#gYHRT=0hMuYfHepc!1V@JJdX5yW6a<CJuT{7cEi{7$cy^&tW
ziDIh_@_Qf1!t1MUT^Hx*Q1BUVHBBjQboacXB9ovjSPxK3RYfo$X|k)!TqO@OEh(9a
zsg(gC#xuS@ESb=JnC^>&3w&sqR)*AkP6nC<6|Pz8v!ME-FFx!Bcy!m$sQ#Fs4BU>5
z8}W76hvEhc-da)w(D3Szh32F*Oe=LoY8A61l7w`#(sdy;{kOWi@trg{8+C=~q;Vp<
z-L)OpP7$OoCULK}P8xRIr)$MGxzJdCPp+1-I7*e7968e}4gQd)d&ZXs<$H<0<BpR+
zenAoM?=4G1;x6^~MIk;!S5S+0+DAZdPtb=)7|B5Lz5&7dF&t9vBbTZ^B_a)rd`|y=
zbJ=#h5Iob)j}m*+dwY*cqu1xJHS(U21wQJG2C-p51fOE`vV~=lTvUl*iJ}~MCA*!j
z<rG2rzT6*kH|5Z`5K5+|o;(b<h^Mh%7ejx^my{1qD<J0jEFs<~1-QBqaXoZh9C_A0
z-rOEnLagPn#zO=pV5CopNwkneQetm>J4aNIz(Dw;Z~IgrwP?PY{{;b+(+pe*om55M
z+ngUy<*UMmWu5zsuoR+mf3p$xNew+@8<9|3Q3F~PSN+^XX`~>TV<41ILRPo4iWF|B
zLtJ}1yVpKhl<jeEf#b9~>TZ}1D;L&;tUyP7z92co5iCbm{-utRCH0CbmbJj<GN<yJ
zNqH3g@yqgOJq>ho>Q;}?k~YM;zv8w~S45rqi>1@n8YpmKqu?r&9()hYj7&eHg!EoH
z{hGsRpo8D-B9c@Lz)i1eV&6$+Wb1G9>Qsz63N=a=u{lnG^KqKtrh+PHp-&{`R~ZR;
zYYP$XRsq~;WeTECQ9*IegRIx?siDzaTf9%95#;=-*OP2jL95wvGACJ7QB7b%Gz1xg
znxmc2(Pt`XDU{&xq+Ahg-Fj=)OEQ5&T*cjeDk|vtWV{K_rYt)CT}Iub!35@XAMY!_
ztc<k$eTt<7q>%IUW-XD|6!<(w?>;`RgbrP_BzS5`AX`<lnstgPl<(-d`0Xhmy=ZG5
zg9Smf_T@!x8JNOrZ*AI)8}f)vB74wxnFnnsE%~bpnSwKRD!!^t7CAI6DNGz@MF(a|
zUVZ2{fxwef+sot9h`8DP#qkIg3NV%LJ$u^(a7oz#vYSM7eZsWi*PmG|PNkqfhrt9^
z1ik+<u@TU@;ZsjuzN)4Cuvm|-dSDFU=6Bz}CrY6DOTCR9L9-M-hsg<y-WYn)OUxc5
ziXygm!r?PV*C?(GRjiW%Mvx~maa4<52yxS;;<-Y0DNkc=zSmg?xF$;VS+x+4#8?ML
zl?SMyJzV<w%uRq&!8VuaU|!@+H^P^dMhmYUKi9qeNdX4MU{=mFE>u0bJ2_ZI2Of%|
zhrcfv!kB$@3jZJ*vN`_a4znda9DMnXewWG+dLA0F{rt;>F6i>%@gejO?%Q>MB4Pk)
zDeSG2k#xxT@Gq}AFM5bs68>=AL?2QzFDYDlNQKT>DX4do>B0O{Q#}7oJ;<QnFQ2}$
zfxX#c&-gn^2TMokO^b?k;ohl_`NWuI?4y6fL0TU=5E*rK4WH8iG#OjlRWyqQxiGsF
zanZq1?j=*4rVccDxqhR$Gmh0o-S48Vqy=VM&!E;&ZK!{|Sv=PG3F9c^e6V|t7IvRh
z$_S2-0oA^F<=YX6$=p9BK0%-by>(tvCYcQR*Gp!tMLQ{c4?XKrcWK~g!1=JnG%c`h
zyZo(Gc7%e@3tMAap@A%BIth$g3uL*qPP2x5r+iBr;jm|*g>KC4Q|on2@JKm+igjU%
z(s3u;Pnb*#ALRJ^y2mu2y7|ud%lUaq#kaEcq;Og&&F_pUx7UCPp&Xa}mcJ>I90d~p
zt<%Ed7^9O>uR8p`rzVtrZ<*3?TZiju6dgQ@3jKKHs5%6sOk{dxuTtXF6meWe^pMWr
zJR~$of(!7WHK}5avK;*}f>)3MS`xnGS~!s)a*E*t>CFb^=pZGb2hRw0H#8hK7S!PC
zt)b4v_AN?hAZtpt9uwU6s1H=Urv{3;J@Px_I~4b@tKDqj%y7ofMtT*m2Go^aiYatd
z&`^*cGPA`3Z2^rVSF2PZWu?3=oInjVhhH&TW$c3&Egn%XkE+6ToetuTEe&KG%=r4~
z3Of|sITy?PM+M9)-B@_zXhA|fd#FZ(6K=*osgXRO0=_JJBjexc;6Qwa@Pri?yt2zX
zexyJdF0PsJ_}MT3BtF(~3+9HC>$S5-c$6Wx^!kI{env<eb2_oFj|bB6`6CR`N)Y64
zcR0?M85EjFAE%r0L5jZrjR0;XxD*gK;sUJj-b7t!rymE(MLLzc1&VNe(vQAXo(-=5
z^re!F<Oi)q|4k-qMbNvDlS*sA0dBQgQH#!k5U0(4>O6xYjQ&ir)_=nZW$XnUs?Nf|
zaiu$2qE`W?9Cl9|Epx#d->Hh*4@BW)f{W&hS_LR05eBr4d7$;)T}|q1;;^+=!q8Wx
z0GPG7V?!}7{JEUuVp=2tezBW0EnN!mXW`ZtiW&}nn8^JM-IfIT7S<stCPmnbR}AOr
z!-H`?FTLq`BD9Y=4>Md+gv-Z%<ZCAhz+-8Tiql`EKy5`VWOhLj>}Zlyt-XaHz1))6
zcUcCedEZVp<S7A*xpdeSFA<;~<ez;?BL}MX&1pq3%HXJ)@?|kz41T-b9ty~p2ZE%$
zxImc-EQLxxQ~W6o93EoqkN)lD0#BEqe7Gu@xpn6UaY{m-`;y!7WhHQIJqv^rYM?rk
zJoVd*07HW`RpwDDP(^jXHPn&>*2+I$l!XxC@XO0>zV}su->WXG=%PC458ZmY(<}vC
zzx5fsNosI}ZHj&IsRo=cx)CD6Bm@3Z5$EWd)gS_YF6kh{zuY+rmz$c(0^!(QW=2gC
zTxF|0H~WALJU?tZp5BxL=}~g2mM;l#vgF8RIUN|$d|Mp$P##3aohnc?3C_H$n^X9v
z3;+G<{}vyu09=+YscBqDkQ>fSqR-ZcovgDI@r#OJuGRbWI5i0ftG??W&l!T;*LRN^
zIh26he6nfyv>FJkG%6EV0GPT-32#D`fU2gH#Nqod4^igkq|X2!Wx9x+Z<OF^dxoXv
zYh@UHXmA&cF@p0?LY>2FmEiTTliFE=BE&y=ZC)>L3^qo)_h+vv!A;upUuQrLR%N#i
zpDQ#5vvAJI#BoJ<<&s|^rz#CRl|J}NS`&ygXiaLwD?;-9|6*6z2=M-M0)LjC2|T|&
zpuo+i0E^y<j8=1EuqkbFe8<)V)-2?dmB;1ag-LrZq7ejszX$e*_nW|!iTOJ2zAVt0
zuu>0%@d9REo#`NE0*h^e-SI3kz};z`5-G<4{;!>AGRBNS`Ymtr{ku}&C-i&E)t3Q^
zZymWe_Rtt6Z0Qepj1%A~kE$L?V3%^F<}2z|HiiV%yM<e(k}x_;XG356n<ALv8CLt=
z2ow`izgCxuLx$Z=CQ`;ICGROtO6`~t9BFY<>o5_8PYWmercWkd!mY{AVGLk5asL*N
zl@N5Y2KOqv4Pn*_TN&DJ0CRSd%Jl*KFyqeWV4ppSU6feq%bTabz_FR-iLZR%;nkEw
z8kohN)ca5(m?$7={iL<}8V{V>yXLC=c@g_0rE#!I))3ZLx*un%aKXDLmX=Knzp*dX
z8FGR)2B7Ywzh`@Z9iCOPU72?Ojj{6@Rcia`L(({NM0`98_<1IBP1yd%y3DMlwaWD%
z#QTwjfi5E)Iubje-?fC<%8I5?&+5Vfq9L1$J{=tYEEQ!<vxF(r;SXI>)CFxTgMy<8
z)S#R{8Cb@#fHey8YKVL3z!8pnMWt@Lly&<fZr<aw*yR$QvM){A;Ny8_3TL!QSt$Q`
z#xZ3YBR+HsvEb8&t;=84`BVQ=w518IUl07kYF;1G6}?V|`tnEt(uHLTtHWS(BJCt5
zbk8b;wNnd}gvsizX-kxdv%IEPKTlxVy)+h|l(itAGMzGfVvh2V{(N6Z+ZaYezp<{8
ztO;Ji{m(B*O;NHB#*59q`HI<`5>Qy7)`X0mtLodKKPboKs)|^3hB3t|Hu<?58qhBL
z!+rSTIE8^t^{5lw04C5GXE-;h4hi&XW6kbgDf9fQR}IAau=MMHsJhOmgUgyZQE6z9
zvUI}eE>n0nmMGU)ab<`EZ$sYe?#=g6Omf;vs@*?ep1;mM%{xJYs<5P|q?B$7F7I>b
zkCW|~QrYUu(<5pyGdH)<6Vyc^`TrLy`?dw^5wBam<)j8lOFQy6%GxM$UuSBwGv8r5
z@*$E#Gpg|C;tKvt`g@AJbr!lljxc^spNCg&s{$XXRiRR*iPE;PzCzFN2K)9=y_ttm
z74(0!8rk~2rVuihCUckSuy$iokDs~<SYPsr*q`{4;=IQdFzsH0>Aw>ZC_1YQhQB+r
zYdoqbww(8;LOm<7fWwONVX;cUI%1GOJ6A^8dG5@2w7U#TpfWa}ZdQcz*c5XYR}rOR
z`jdugL@~y}AIecmtq3jx?Q0*To>4NLKgh^06<`m{)on_Q6=2Ia!8w~chr$Hktjho7
zVIRv3cHTzFLp0r*93%5%N~PZ8p}D)cn5m+y*oR&@h(DW+$WloZoAg5YMBi-ets&)g
zF+mQpo2qwj$;MHBoIBfYhh<{LUn$+XcVxkY*!*6kKb$hBD&zA?|1mb|KVo*O`=19%
zYYDFtf+$*vdp82?)3Dj*obU6>GN903z3}3R7bUP>*3Eb)1)C08x9W?N22Ym2>u;`}
zr=<HZ_qB<pVD*Q`H<$iO0hPEeH($}Jp=Le<b#_@Y=IeV#QN~FM9A*rPWO<!1il*t>
z(6eML!Ov>O;Uf`lIN$#6;NpR0zjI;e+(^dWZB}l37!l#?soxFe)wi)H7r%%NJWIjk
ze;NO@en|kAoajWw+yIR6`HKqe{8TLRlkT@+RRWB8w%cDS3C8-i+bh1Wr(s^3?w__w
zB_Y=2UXtzZea!vuL0_lL$JlgHymgwgB(Mq1d7QC-fE_mT;ca-7i7gV+lO9(}{L5FO
z!k3n4?1v6}()sZx*eMIQ&{-V`SXt&elC2bnCBN+u%rMEp9LY(kp6|t>h#jwQ$d!Pd
zz*l+JH|Jtkddy}7kNo?CS<g<%@IAsBxR0@)^v%QK4!*O^Y8Hb_ehTsXAsJ&o{^C;5
z#e7UjCq`~{P88bm?ao%GrDDa3T=jpV3b7TOH#N7QDC{47pEn@;7~9R%jn-Q(!gR_w
z61yx#Af8z)`TlAq=C^d<;_IAJESfg8i2A-T@VGu|;tb8kl9!cw&f1h?^llqs58es^
z?Y^kwQH@+Ib}`A>Xrltlkv`f@p%;Rn_>Y1j+<Dl+CS!iJ-YSgUfIf@HN)VPrY@TXK
z<YUIhwH_W5HQ4J{4$ft10`Tfk(R+!@h1gMppSWqoI&8gdW|=t44=j=WA>Q*v*a-_p
zX2bdh>~zE@Q4=G67`C`*5m;A>rB0WU#~!}H3}`2w&OFA$hvpc+(#z%8sQZIO?o$Z!
z@Zs0q*~CE$uhok%@k%VU$Ip`_{1!W^>3aXnSsZu@Tz&V6sT#|1kv+)7`5x;TI-|7M
z%m<AJaL<V{wb&V-r~cRUTd<P34_(P>e4wEQ?dV<|#{cVu-F!hCb`!79q?^MF+I!ae
znPRW7=nIKghfj83VRuhQW4yc&?sw8On5hwq`+56<i^B&jjjd3cBbo<(+-XH|xd>|#
ztv5S6^a+zu>geTS<N<Y#8KyM%x0pjO>tJkc55`VI8m_p{4IP>}jBOt8v7p1hy6(64
zVFz=Gv%`$s@H2n!mr6+s=9AlNSt>MuRk>MM`NnVowa)sBblLx~<-(}9<ccB8LwuS$
z5XS`$;hD#>=Q}WSrDI;C#4lKeT*=wtTuwOmq9_ET{fG?@R*h%3f5TiaRx|{XI6;3w
ztx#XL8w=H(lI|)W$4LEN`#K^yAj0ONxVBU;Hlgctv8LiX#`?y4kL4vh;Ou^eHXrQA
zG}<_DrxzwM+D}P88m8HxI-vGtOz{A=XB(c^e{Bkr7swMGlVpRSEtfI6<HOj64g)$4
z?O80TVQM$Zc^?o#tRdLyE0*3~di>Y%1+2?R?8ayzD~uf~_@ZnxhW+RFOEZ6J2|LQf
zbBy`#KW9kq7SYK~U^cyHwM&QpV7RS~=f@7QKnI=BPa)kO*cMLqCWUboOJQ>SOvq=3
znol{sdl5e|^U7b3ZM@g8;*5I5ZDwW=<cz7M5t+swy!&=9M{yIA;X6o(xy1z6ZXOvu
zwmXX@1S#XjHFvPP5Ag{NbBu62;Wn?R)*@!|wdmOyD=I`-6A65NjS(*7#k{q=^cx$i
z5I($3qCpsR;XZ9Lz=*RXf4b{3_Oo9yyz?*}Y8v!UVoqiNL0yh{yTVnhurtx}PB{bW
z3OmPLX2bwhj^k2U^6Oaf8O|vuJ7$#qh4FAL6$50<wop#2Z(>TE9Fz)+eMrR6Xlvjz
zJv4s&aL-zB7kkNdSI;qx1FiTgOgFaCLq&*%pja0b`eSa;k(I}Vh%0R_#$V`xaV65v
zyNL$5YqcNWuH->)at@Z2@-qNW)2SQyrGHM(@ZS#K;X}dJ>Ad)G1}H&p3L%b+DDBW0
z%X5+Z=z*K7+kYfRIOU*mr5(qDetd3Dop%&ME8NREZ{?W4Yx|W&tOy&rcIY=WhKiz@
zl91f}{>-qE+H_{yfD@fgUzIJ`6Gv4>OYdWiSwWgl{fLzaH)5!;IXyHZiRv#OpN&pr
zgS}Fn)6#0Z=rGQlA(lZ3S<H2R8a}`Y=i9u3R{U{@z6NiXc1#BKUFz_0SLTMGmv@?0
z7zNN;fZgnaemT@R>8H4x$O|holH&6{Ldc~~Nrxvw5ore%-0w-iL)OppVgHSbqN(F9
zpLH&)pwOBdI-KT0z~3>p#3Cet9PhCE%8}KOcrfj-&7c^3RI|-0_$7%RCEcl>ZXqGd
zxm4Xlm6DL2*2hHGPecJ>0=!fX8mOs;%qPt(4K4xET^`@0(agN0)6wsm=*Qm7tzc?-
z5Z6BSw~|T@EoFvv#~&u6M+`hpriIE-QXr+_uA+cMxAc2BW3^G1T}yM^KWBW2-EA&D
ztAsEO#b36;I!Ju&RG$@tCS>=Ezl!l!LHAyYWZdM?MHzO<6{Ggr5V~j~iC(E99s3re
zQ9)hQaiDMyCiLLHunh9ubTxD=3eUn6ql2oHmJf@BQ-C^of3lY~2|bIs^peS58!d0D
zCpg3!!Lz%8E#Vy`#I)L|yM0Rw&6`TSd|+S#G`m-~Eg032wSYKjaZ??w%5&&8)S5zT
z)T;39O%lq=6Tx#+tD%!Uz4pOB&A@YV?$Krr3DFdLRS{hk&^6h$wc^J8;H=wjm$0XX
za;##X3C9wVM+NtNC!GUeR%pwaC7^~}7;dWOz7RqlD#X>olLuh<&*((jiV6};j0^5M
z$&R>bZoCqbKLA=m^gnY?E1}5WJ{Mgqm$2QY(e$$o`{7}^`EFmBJd(a%FnY*!l_J%;
zhEo*Y55+B0KkyG_P}G>l;S5d|2-y}|s6A%}HBoZ%6_G?#!m5^|%fbV~1-)n_*%b8I
zA}6WiCD7@9DWB|UJa9C8n9^@I0es+R5n5*vRN`S)@wH75Uj3!(6aVM0WCP-S@*Ey*
zjgCG~+Y$z@xF5|Q_8Ws(l<+fLH#d5ey?fC8tSCfp=8wpv8o|_+KDH~W`_SgNPW2Vy
zKbINAKeSi}ppia%u{4qv!Qijs*>}WXWxhp9;S#{+T`Rnk;~HjX?C?!AKn$L|(5u>O
zrGQH2Lpbj=frYS+vE|x|fq4{u*kr^I_8q$ZXws#Vvc-lsN~aftR_VQ&2zo=P>-Kb<
zo0_Lc3P|mmm5Ra@=3FkasR1OIgby(jHz)!AR#f#zMZqU6U1su;K3HqMeq}8}4O}hw
z1Vk+gxDBc>_f<Vm6_*^3R-lInX3hTWHzLp(6`MwNK@T*0#H|`SnBe$}*q<d)BA`@a
z-^BUP*X2%yVO;z6fvLU!!^Z0(Ffr(U(CMNs_;)`D9ot}sYf<5g3718HT9UA{vZ@33
z@@H{%pE%*;3Caa7UlGvSq*`Z;(*cDp)wOK~ZZP|_&3f;t2yET<3}jT-f$wE?F}*|{
zFv+}BU;aY`IK%nFB1g4B;qTh54rN{#KAEDyYaj|5wMtuu611Ud!~4jJEFX*}ZHo*Q
zi$Vpj^tzb!zZ~%uQ~ki<09*X6yQ(4vqcJ_N*SWMIv%=W<%@z(asOlf8w26UaH^-U5
zuViSUdnrU7#zS-*xi~>b91O=*x4SFI@VuvwHn*A|#y8%5f0iN+JP!08^bg7K>*IsH
zg=hg7d8zsA_KrC0tu{(!c#<JFA%{?XK@j8|OkMe}NWiG!8nMNZ47flqMl}N=c;-B_
z9P~v3*bm@2Umhnz^(%XmBY0t8aEe`zJt_%NB}(*9kCDM;x`$A`EDYW@VTFtzB;mN#
z(EeAa$$)RzEXeB-foX%3+fj!IAbl$`UH+d3*USzr5UWKYTe<FXRx1IV5>0Hm9*`mR
zoFdGm{JS&$4c%N5BIx*pF9ns7q1!IPugp*!zT1ZN4!kCUYeiJb?GZ9qnKJ&@T_Fx@
z46jX`)TH3fHxkzfw>I?cXW(fgN<e8{V5`{^Dd5yB8n}5>8(L4sUK~l5fF%n#_B(X{
zJWysWJ(ZyiyQ8<`)fpv$j_%LCZ)c?;X8xn|%LQ#1FIsOJ@{)uXHz{|WN~B>oeO5{9
zpbmJQ+hBP;Dhbnd(hJKo(olXg)hDV@2U7ceaFr$m=&Or3{G49~-iJMAE@Rh)_2@k2
zkX!<&5xn)A)ny>by5Oy=k1i}-*)EvdAi!2+<B5;DG9Y^Tqxgwmx^Q_^IIs915ky9p
zyYm%g;Q9Gr+@hTx7@9Z!35_8_lzd?LBPJOT*B$i;Y0-nIKWu|Gtwea>)|~F}K^kPI
zonIW)&<CP_wguHH5jv-`7bpSJ5Ps5jCoxMOI8Wq|EBK@!SOVGN1f=1}bGom0X$|07
z{{Z6)St($>#B)S9TMC5pKNlWzG60pQEo;6?QgEY)dw=x5KC>-Rg@{@MD5tGX9wA5p
z<Z`$>-z9?f#Wa%_)P|649KbffDg{4&53PCi5rFO2*NRjlL$Hm?>8+n6f^Ngi+<O86
zN|zcmPJ0`|ibqc|ZzT~(qWG_YS0$l@JmO-PVF)VaPnPO#5TSJXFZV=+1Z3Y&Wmc^<
z1WLM_Yo!zsT3+pQ6Ic@moMU?9$Xi2@jPzomd?dinvpV_m6mdA$W9uLPuO6WyPH1)~
zzzC;$c#VJ<*y6w0w$>N|IoLkFjfnu20hRN*%_3kFnu(LmGz7kTCz8KCmV^(57awu|
z^NHwS4)X&aLon$q8!wQT1P-H=#oW_E5YVhJIci}D{Y0B%uWKd1*;`XK(pnH$?0Jr;
z^BF?cipuw5BMFeI^G$npS^%s<iK>r38-U{P0~5bH#eo;IPY{pbhoCtXN#%G0Fo-rC
zUpy%eF>6Hgh;BUOcc-Q9nHhk{<3Y=wUNNZ2r)*AW<00dwyt}|(eJI+xb!%@+6wI2)
zXWHK2fVFFn`%bPtT-w^}zo;w<VHa4YeH?MHIi$<ZWT_7;pKtAJyea}b-qCd%!Z?V!
zb*U|HSr3}un7R4Y3ByXQhK|@OAN2dzn((LVft%;j!9H$b7~O6Zd;XIT=$W0fgg_7O
zJ@83-?I#4Gms*@Hm-ryJM2~Rdr!G9aP_}>duOReL*{dN=9PFmHHC&F-g*#@U6t-YN
z5LI|Y)4CrA>OyqMBbvIf#TMawSyT`*$_}n-#N)u`&4*?6F&+4(tr26^DF9|y3g0g;
z;6N_edwMon2aZ4gyZ?QZ05D!BWYRg}Vevgd<d(h;w7uuun*O(6ttw-opfNmD@)^5O
z7PaA=hQ^b8iU8<|=+{5;<cDVJa*Oh3+K_w4sbWxF0B*`KPKEFafZ#8G2jz3x@L%PB
zfwnpVuw7HanAI!*l05E*MZ~nh@wrT8kBtBv*z<HXxGxA3Rwklj6J)T9v*Z%IEdXP0
zC;{k*5L{kscs^82hW@b|(St7pU|0ODWr&h6sD976e$AH*zQL{mFaHX_!#MT*gS;Xj
zAHX@VXHABH;#4jBe|JMN(s)S4Bnq#E^G^PiBf|n8rNgR55O(ZG+6fF|aBhE(^-ESV
zOsuQuODPC}U*|$Qfl(ZkI6r$mU(tev*HVio%7nl(@SgqCSaCSjrG;0Y)Pf_NG4V%?
zgh6;9hwX=u1pE&G0RR6Kmv=ms{U63FrGzrhG|xUpJQ`<M=Uj#IXc#S-p|qETgol)r
z(x9jim68?8jHs-nl2w#4B9su3B){|f_w&bn->>iYbHA_mm6Q4OWkDMsO%59mc($wI
z=2AbNY8oB>?`<ltf8>K2Xtn-zggV5Yq#{QX1_U#u&k1_@NWL&6o4P^+Q!7%uF1=zv
zR2X6T={FzR@+0{}Qks~l@sb$2l?ktWsz)nHfMkmaX`fe`xF-@aDu<YGOQ}lOY9fID
zCg1f3ZD{cJ7*MVbWZ~)Y>g$*H2oPj1cd?<E2D=|tt7_)3aop3eGxW9qNlagHm@XYh
z?(ZGy4r7B|rGK9MMF2BZ{&eJZI+_(SBNV6E2;T0|L|H0CTvzBnEwT(~1a6>d@8#g(
z#hcNba3NN0FFM6L#=tF=&dU=oIIy#EbII-&VkGTon`18n+D)^0)@oebmHuiyZe@rv
zCU4buTPEsjj`QX^auKC%Eu5Keh`rhK$^!G4ke@Ly!VKeLv;LK^BrPN4$7O82KwzP@
zbCTS3or~wI1%5{ojIdX|U;Ex}7VP_%CNy5-qMU6p&`UCgPw08EZ9WUh3jLnLAza7^
zUD&1<j1lJZ$d)m|f|wAIdEbVMSphVkOY=++6Xo{$jXoQv)<!>6p36ltY-&dXO|Uni
z)5&Br8>v#AT}8<p=r`U8+5O!Fca}^J9z4VbQFYtGc0CTZ7A4lqwl~FZ&%v&u05%S-
z45-<h#6}@4{n=1~DP*F^TT=bl;HFYfoS4PNTg(2bQwv3?KhtEUvYm~{gNrLyY+#}4
z=4m%q2N9$SoU)d#VB@#Ur-D~knb`cY*KU2R2%OamhW072arvLOnYWu62ol<eFI0=r
zz2{+kL>&v6#QbrW1q__GEtnhAF9PG!=A`IQ7F4Ilc1M}hp}(e%X8KnILc~DSOC1&>
zhquT-2%w><?Ojrelo%h*9Z<-qVj}FqnbP-%HF4#`g?h_L5k7PTB)oQHA}=8KiSVyF
zwuk1;tL+xS_}uVdzvO=B2LG^ejaLJCndx)oauH5^q;sDfWPm)JR%EkL6>~MUxLPqH
z&~1vV2|wu&nh>0|v{i61ILJbGs|Z=XaUbJ->6jaTRED8SMZ~v;!nHIJFcqIZ<2Ma6
zdKM?$TSURN#bsN{-<hH$Zq1U)KpOUEf7*Y@g$xgiOI4+3Op*W3f(x5w)3DOAulQ^h
z2@UkM?b`*W(DeCnu3udff(B`~vkVdv34E!SpG@%nle<TdsRpLgtZlA8AY$!VbGeBV
zCOGUiTYAGTb$oC-T71==2y^A%l`UKo?C*@G%)g}uZ%R}uPoIcAYkV(TJvYXqv)7cy
zzN$joR_ri?NW|>3L}}&S#yJ1C%|+Wn74Jmey1|n9;;rhW-ucG3dsgbC?|l_m5j1{^
z{{NizMZNpdjWAerb}&F!1;;pELygWvq|4rVY-nu+wzA$}av>Gzj)cIWn?$gV1ri!Z
z4AI@ymd<maV&f}1!SN3fo_V1KMb`|GWvXAhMxKhWp{~lwog_H)Ry4bt8{(MOg2=&o
z3Oe`gy#4kI2|vCnbr}r{A&3^+%BE4!vq8^6!H<lv#qv(+NkS;rAFw}mS#s`fkG6DB
zD2Q*G<F39*2<P&mO1VoEDAwvdx&E92XQ=^=9}9#inXO(El1RamD>sBmr>PjRPn|kf
zD}YOv(@<0y1-B0`|LSb7f~hjI`y0*+&{2Hs&d*^AhRpee%Xz8@usk=Jx>*3pPIcQY
zqr%nib$)@S8s?pNzh#^)0AIXtf$b?O4i7XaFv;q;kr%S&ri7E_3!<mb^;7Y}?3{J2
ziU!`ceeoqV^AS63wk^R~1$q^)bUU>*k*fZ2PgwyUt1tYukZo6i*L%KqE}aIZdaCk*
zTYU6n?ig5iNENc(ayjY`XmBdCF5P#T58I4z>Kg?$I4pj4!pD*h_g&KYYcB9%wbboK
zXNekSHmn`&Yp3IM^{6E=nvcQ6cVPv->d?0yJK-<kVq*Bk<%^Q|Fmxt7^_1+Js&XZ5
zn#6?V<F>Mad_I&@yOUexHBlK^?x2~&g!Gjg?)TpD@#Jd##-=Zth)f9~*sf+_7RNm=
zUP^#ZqtlB=w$WfeXI9wTb`~z(ZIT}m3Sd_&^k3RS!^^s1lpkcnq4{=huAcxp;oCZj
ztm%-JF}wTw7aJ-&DUV-26+pX^Z{lAi$)|ZaHhf<W+zRiWn?)8PoZ{<gCT5`G^_E&f
z9|ydBKO)<`g&@KA*YjKkT5a0om}|J;*))1oy%z#A32w>SOnlv1b^Uuh7vh53>hC3-
zC;CptZIJMbywZ8M$_Fk^dMC<CJu$>>wnv_s6bpA6Q;U6OYauf%CBN6i2<`q2jE3zj
zB<1Rxs}i-)c+2DFM6nSDiWSDUma@=yJx}?#oE8|?!Th~qW3*N8EnmNY4Qi?5gQPw#
z_G->CwR~y}gI25O99uRh$G+OlPUm9j)}mG~GZRSrYmE9xa?afK(`3tfF4q5gU0YIS
z0&klPMTHDD7JgjvM5>d6gIQykkZ>bIE5Lo?85{FFbyt(@Ik+2mZ{6Ixrf~N8uOhgH
zjdh1!mDm-q(dSqEW>8jy3~qFqSs5Gccav)`OLF!?gOg}vn}nZZEp%Qo8(T!_#inK~
zoaC!ZU(XWZ^H{-w#G`B^tk#>FcZ7+ERFO^PfP|CcaVaekTe6p@N(U1pd>xLX=BSE6
z_UU_2Hp0T*CBODhmecVhr&0XJP>i3vKQZ^Nvp^b^meu@9Lkan?Z<3`LQkCBn+ypE{
zIjQR_6KSa7n%*8;CB{k9?Ch9oCafw?Ngq6`0k<m$_a+F%_*;Cehc3zGMn8*fQ?t~O
zL_9|eki2&h@429_o&l9bCEs!{sbXf)1>NLf5yaZTzuT-OoDUkjc2ul_;XD8E?21L8
z<(F#qKc{1hm&tF292M{M0><kCL|{+c%IID}$NJdBBbR@ZaVKy_r0+5j{wDMopOg5>
z;moR$Mp-f<d#;pS{Vd^m@Wv#6Aq|S%6?d4D?dx4*bS5~`6r+u=)5HfgAyd%BWX2HD
zvY@NeW2q@>*XX}JbyNfWd+wNyEhOUWzVN%AjV9O;T<}WjygDqCixS-K5kQ^u#W~u`
z1U_ChJ1*s@Au=l=yU&e)$i$YA_63rBpUf?N+^ve3F#Dcw0s;<5#mwQR8e`72dD#`(
zs&L`Qw-#y>u&7%(N6*3-R$j_!asR1cv&C-nBpv}IAyeZ{yAiGxk9bUcq2jI9vZqoG
z1jM~jo&G1#2(dbYgIhePD7CX|cf3qM<>=#^j;cnu-LkMv?gs@r2hxkpdk9d^+qpme
zks+4Zl+7`Wra((P_$Y8S5jSscvAXVJh_067pFaOf!RY4Fr(d5Dp{)3*H+Hrm$m3F~
zQ%V$6jVn0Et|K9);OWPOnL>D#IQTgXlJWM(4}<&tBrKfLj_`C8Vs?pPN##c}NXO>L
z`p1w_{%u9|40$1J_lTd(=pbYD8>45A8zj7^UEa0)nE;<(KE77^lZ^YLSG8+slKVa5
zbTT4H0Qu~wrw`RA@QU$NU-gHIz3iu_&BOwPdW!tcZKU9VWq-GQj|zT&@KmdtBfwR;
zN!G{>3Op9Xybt-Pia8l`pIob#aPQaRfisg7Ocs~z7JOF2q32JQE8O9udGCiEqdTZj
zw@~waH>QpQ1K;ZsgZT*IW`tIKrs5%OhW0I@CPvAPEv4>!T-0$&ym&|jw;q&Hn>1;#
zJbl@#YYiVo+p4<W$gARm?vv)vg*2=qtZ)q#^Kt4KrD?Q4GM8G=xYnMI6uI+JWMhe+
z4-3~=d#Pcv{;(VWHyw6!w`-EXN3Yw!bBdul{CLjiVkQ6S{JCVWp>=!&1o&*+E~kMF
ziP7^+&6(&8z1p#Gr-c8b33D~SYGAWxb9G)H6J=JvJl{m{QL8C`bh<$kHB0|}<9d#T
zi^pBVgNyi(S)`m%?k>qEihJB<Jqe#Q<-Bc2`7klgUpey=4QHPEJq)d4ql-S<)xl7J
zxX_^3d}lgV5#|u0wr~*jqG#RN(*jh|x5`$vNqqjq_b;<MI3TO9KA-kkfClEH_^-|k
zSg%dSQi+G#*~=JMS_zTcBi!@&0|QI+eyO=va6w(Me_no}5MTZ{zsk3l`1!{3)Aedv
zm|1(^o$L}rq;Z1Wm)0?nWw`(A2Nx~ubNVA7<`}|0GF;tfISU>DLqNR0pJn;;PHW-a
z!`BNPg+_=x(s3g%m4&H4N7VGLYT;?&TN~OlBN)ebJmk)o_;#a1aMU?16!?^e?6fh4
zi{<?{vt8Kuu-x^5;&v@;IB9=;=0{^Fw!dGLc$*D3-8b*Jnp)7DI(O;fE)zT}wrM={
zfsJZ>5)q3f-`}>~?B0+GqJGJZb7phUHu-s3w~3?|tbP^t?w~2Y`8jxJsc@kAoauV#
z76-+D3z93on1V?U$+p(y;B;u$Ci@?f+>mFSGhZ)4Cu{O?q9O-H#+gTY7qM|SMCHNW
zY!QxsB2FX@vk?+x-ZH(31)JqsEon2vpw%j$%`Ro*k}sjI%Uj~tj3B*6u^5xuzEPJY
zeWBHOszND(fd&18MXdc|JP4}m-lNTi<F0aBLING%hM%RZju7JjbK&^yDi+G7MU>S!
zG<*rm*ySE0#>R-3r+(VAV3oBoFD6D4#5C8lpD&5AJ8Rd%RiBt>^9qjf`=Ab&l3nX>
z28of~5cc(s6BGA3=l<tosD_xF-2bv1#ZdqCa4WBYfsvV050f9LV8z^%wVQOsSii|?
zE75|1lpA(2z3ZqL<y{K-`(1=ZS|2_*Kcr(>Z*%XsJOz2l6f;JO2zlLEkY~~{@xAu8
z-w%m3eB3!EwijXK#|_u%OEk3C9675xMZ|@ucB7XwL`cufmF}5C!+%SIZa>u{;zLIA
z9sOIT@U9vWhX2;U6~pzsd!Ym{e1jim!xa6yyv5C<>e%)9f?vdxGAzBLX{TFFU=X&=
z>*pUeWZx=%_2Q~BT+CWFyf`G8lapo332Kmj;wTfnNf}*MpN@LXHGy2&LGN-?Rlql6
zWO%VM3X^6$agH;_z!?7o>!^w(7YwStYb&ET;8NK7#m3lXRVG_mMMWC<=CvdfWi+-L
zPe@f6;ftAwWT`{NK)Zv6=}u(~ocU+AoQn~3kHcLdi30iMyXe$3Wz^K{vHCS;i0r;C
z85<;h#@}`R{sJiiq<6G0w7g^pLU8^GW-S?y@bCE-2MJK>%bqx3V2F;?k8XQ|$v84A
zTxRhw0lK;Vu^-+@d~6{8oAkeAIM1mL9tkBPV17{EsE-iKiXQ)4$R^|Zo6cn`wMbZc
z;`mNgnh+Lg>voxv$T(X2lN;Pd!tXy#o!Ku1cz*D%wS@{9CfPavkZzF?m$-yT4HjU^
zp6n2`n2hD~m(imADA=-Wslo$+07)A0p;3-xEQqK4bJ>}SFEvv9&k`;jteBalA4|r6
zw1C7%wkjC4GvyN`zD@AZnLW`%2GLktad(3%{w)cw&kT`pxJ%#e+A0ci^(<C@->xR{
zjZRON9Us)Uvv1@VQs5KLYm+~zjwi49di~mbJhZQ_95RvgnnTVC+p;xquCc_xUxtsd
z(6#1mbyNh7%O%tMHK8Tw@30%@VgE%{`n)45SRms=(2SuWT6eo}tb>PY^?brtEmaJ1
z|DNNC=wQj(tnGczLn14?tyj|H%=|)khW63nd-BA_j88mNTz~m_rNr~ev+A<u#xfw>
ztkzjMz(Z`EsTn6u9p;bss6<#Y;k)?b+AL{4KK}E{Cg79?n(XV`uT3y<zIEa9RvpQF
zkM;NYL7I|&e7ij49t*3EL>ebM@WC4{-nB?f!wvGt9IH)ixNjZSbiBgH-|iNTjn8QC
zUU#`7e~Jy0iq;zLM?PNPtTqa?qC?J0r)+IJ2NXlScM3}cNL%{T=~x3D8x2xk*)8GX
zdhdtEZx;m!;xD^C<-~x<P}<=`As5H~yb(D}39#keK9|$o47_|+-qB{Dh3Ji4t$Bxq
z*!p_*jKDoid~)v@H;vYUflbXq%BT=uk9&qH4=`agw<~|BT??Cri%AxNh6sMAQn-63
z3wyfui^v3RWXsTcAIKXaL}umRi1#eauxXgj)YV2vVPNg)TSmwmtG?xHF3B_Q(-V_S
zZE#jLx+a<!qtN?K!;&P4Zy)(CU`}bl)8^*Y^UcOMed_nww}Wit{Iq)6lB<P@Boq0P
z{U(?@lPh;ep972KbAtuzw7`0NnR0NJgb%Bq=aQT_u+HXw5>;_w5SPyFmw03M6XjiB
zeK>eDzgWMM!NvR~t8axUiePf>-7Iks2V0e2X8!izK*o%iT5?K+YfZ&%7Y}jJcQMU*
zaU>fSnJ;!992CLLJ#Bft4F_S5mac70X5rPWokK5IieX@UdeT*mgJDySdc}Pv5~v#9
zfoH`~-FGy9eiIu9(g^O-*$ix#xlnhjRE&AKBV1Vt|J9Z|20YHBqatC&uAWa~$Yg#!
zJg&rs)~1QD&I}qVf5hDO91vsB>ul8niRWAXC}EI2CB2Z{(U{jO#<{i#?X46Ra-)i>
z6Hch3-eqiNO}!XJ;b-2PM=(*F{x<2~$EwKM?&I8^E=FTQ{n^K34BRl-?V3VS!T9lw
zE4=)~cqTu1N>}0oVuIULPYeZxTNWHs6^N1cytlTsjE;<Y1DzHT8Rm5pg7AJ3>MXZc
zOi4IT%#4X5EhJ&0@8!d7(IUi#c#Ow|)1X{dyoMn|gh!^onhjqBhwaZYH9Itc54P80
z7ZEUJWYkpu#uP}qxni(L1AR+kCtduMap_dKy!}p7+&;Xc_h^zjroVL&8v2zm?_>BP
zok<gz9xqGKj8Vgr^W3>(Axa1_|L5kR2ou=JhR<q<SH+%tyKY=ER>G3?t(SQ!CRq8~
zmP^Z5LFw{65za&<EHwz~aZWJ?LuukHPvVXH_U>?8D6fRFf^^wDzA=1;@9p}|rsB;@
z(P=-L5@Ih$dk<9@LA`u&Tw4GIYyBTfUs$Vz1BLa})J;a{&^0Tx?<3>JY4fRoOG>c#
z?I*jx&k!x9Kgy5qA>;8Zo?qO65^TInn+t*rarO8ci%n8w)E~{w3UyY7opwmZB*_r(
z%rks5vq&(?UVd}BT^X|0&&_Y-2+^*$$<O*Q3F0SRN0odDSlk=CL)uP=rWCy`16Cv`
zN)6Z#Y7n94K*NQf0&ISFNN$OMgvJZ8HKT8dD13a_=~}!1E6z*nKb6eS{P$?-og@-M
zHazt{ZY6-Mf_?_pNP0q0{Jz`A$oSb>`s?l=KFF`$y4re^AbqUuUh;MdW}dvbbKgTg
zp7K0SU%OAjmEk2BdtIscyXW9BLoYrU69-%>rbzhmpQd~1P8Hm%4OI5y^TGK?E;7(X
zk|WA{A324n!nB7pd2J>io0mUqKJbPNCzlWJhEvoK)$F!SrI826j+nGnn<$X{g02fb
zsbl<iyXKKh9$ZPC-_pKOu>IcYUu32x;-04X8(idJY3-|rM$uH%9;yk@FrwjSl3&)_
z03K{--7!9~Mg=m2-Rci|X{h(O+4B1k4+?g5&9jNBn0lwcijJdW;Q3vlo@D;)_#;(~
z0afVzXd<?5koa$nuzJ=p9(K-b;4f@c11I7vZJPoUD|C1D%3a{W?Uc-=Z`JBxnjCvq
z_mYX9B|GLfXYpYFvghZO8V&f4+7|dmurL(bVEUnrhw^NVZ8>i>LG_<A;<1X25|fn?
zXUKfS{>~3s=SxHH42qTQG#hbpe9~eUK0F7rEgwkJVSIG|qqHmzhMt&^{$%s9rCY`K
zbF75(*PDJ^vgg9zjN06%B*6X0$;KBKG4L@e??~qe7yBPX%9lxUe8Rsr*szQN`N||O
z@qb#FpAk%*IVnJyaE_k79TTBR^M@CWYr+4#Q*}qM5WzkMaZ&9|ET46-ies;h8^`l*
zLeUWC#9zxicS-znV$ASaf;N1<bDrEtHH7P|+Lb5!S(q31?NDo#Hn<HPn;5H&FjQ^Y
zTj0h<caEEOPMtPva><J4hm3ICsq#lfEgRWA-)8FOYoqT{xv_n$G3MJmOApZIfY4T@
z^X;fMf-)Y9QpF|+UCy4WJ;Fh$Nu}FqiZ(oR82-UsCO8ti(Cz(wj-*#Bac@LvAuJ%L
zr8L+S&fz*k#AXgAzu&a!_{PPwOke&+f(V<l|4gp>!hz>N4u#6)B4bm*FZ=5vM4bFy
zp4!R5ttxG?;z|xuE8L&zD2ws*n0(7{6$b{3_T(O1$A)zNb?NA%VgyfY9=DC*;KjTE
z%P<QTlr`=ew$+Le@G`9|#Fm3)Mo&Xz7BlgJQKm3B2cX<qJ@4T-8&>BREo~+-u%C1n
zvn1LX=ktwoHi9j=*NDWFKQwU3l-v|Hpw_M{lwZh(oQqpk>1$1_uW$X!;Q(GumKRT+
zVBzT78vd0cb@W>g-IVAqW;9p*@%_%kDpFD1yr-(z+x_U?yZOKd&)N+qteF@uGWePM
zjS7>hZ*x^T#9$^T{jy1AU=`o}VvLxAbrDf@QVC+1_n&w0naMzT$ju!K9+PlQYmRWk
zIx%)Fyb-x?GaaFWVM8-_6VV-6pE^7u!VtaD^LQo=<D<{Z7nl=3UmIrl;DQJ}`l+_h
z=h3jR!t+$gYGnx@XxBDyB<H_f>-pk34K(kb94!7%35yrhnC{Or1?R<zFnNhbc_oD>
zsC-n!?mRoGLn};?U46Utm9HA!q`x}vyG;>$^5%cO{X)Y38O*nd+f~6hQ>4#VP=wd@
zkv{G9Cg{AiE=ssV1z&fhOeKC)fX;@_^4~4S@GJ4p`V>e-oMZDfnU@N9q7$%lXsa>u
zD6!tbsT3@gS$w$todSNu7z!(UjbM?To0c;`hJKh=eZ{l_Hrpk5Xm}aH&RX|Q^(r#@
z6xJDB7AwMCj%W}zWr$j0|LgY!Bs6{4le*`MBBr*ko8up0h});4gWrJ!t07u+>MSL+
zeXM5gQZocS-{WccCnCP49331xu7sLHg2{p`A?8K)^~6ULk$tlJB%h>=@<el5wWSah
z8xJ%VxDxUB#3p{kBV|;P+`kM-`aAoo`<z1{;`V=>?`ymWI4_%;5phz0Z?$Jl9r#3u
zNoQ`&G9tohTB>zOM}YZXoTuk4C&Ff4%UK5{5)xl+Nc3;wqyCocYvNWSQqTO&r%#gb
zLVG+i>?9xel<n*^qll=Ruc>G}N=D9r>o*@`J|Zm}9A2~#q3zh)e0hojr_4`Z9*pzw
zCv&)`aw!RKQswqD$tsA6m5xs@;=x5{Hlreu1g(ASfLf^Hf&S+1w<mZQ40PTVNFyVu
zuVc}6e>JSWnlt!t6Av90uusX6%v*MbCO%U~;$hK+7Y01kjSsd=N^)T=_<Q^;HBDTe
zafF|)%)|1VDq@bjB!|XY2X-!}Ax$;w(BSkk_+Rx{U)@N>Gs}C2LnmqQ$sg}oHnt2?
z`%WF&pP>Sel&bdlM|Ax44ZKVrUxt?(G_QtVQAOks=DrM;@PF&k70yyT>=T+_bUUwx
z$j_w_pZ{gT`^lS*NL3!j4=WlFW7M&>cQ186kp+^2PTgkk&>XKed@@}Fv@IzslR8-N
z2%nd?){6(-lhW#TuQV|`EV{udosDz<x{v<I=Aq`H)uC;HG(7Y_KxG`}Kz@Q6kul9f
zl;!x3K{6c#>h(<JrCd~fITKp!$j2|zrHSZVIuu^4+WD)Oi^Vm+<QG-)VSnmP(-%o@
zg{8b5GrOpTC4Z^e)gl2DcGX?67-gVFsnC|Ar41u{6^>Gc06xm+`Wh}WF?zcE=goWC
z=xFIF(YF^uxFYy!s4ffK%!Z3uiaKbEOghj$CPdcje2_|6xUE!6c5~9f!L0}S0&W<B
zE!7amwPNEjlWMLQrh_A8MH>CqMo@D#dTmt0MrFU*mG}r9G~F71o;b%CoEh%nFHAVt
zVh|p7b+-=QayF^wl^Da;>g^Nv8ypb5si`OEIv{nEwhefj;EVaBICGE#(jBDzy048t
z+b+ew;hN%ew8NdNx?J@8kPB)^+F&}kEpDzi#c#z6;X7=(SQ9qqgsQz3Hv0sA4Db@c
zdF;fEYF94ICjHFpe7PvMv(yZd5~CzVPdK=d3&!nd$}^90u-<dV)uH2J{1N$5;w9%^
zsFwHqfjb-3dYi}he3$UBDa&7Hf&+J{xF_jGEF@+A8CGNf{{sL3|Nj)3c{r5s7shQR
zyBRa~eK0e2W5&+hC|io8Qk2S05p6=0t@5=*Mbe^0rDTnStVO8ER!T`pw1`4Q@|)kk
z&-K3Ndfs!LbARspdVP7tHzwWCKzG=slr#Jk2rBPg6JrgOZ9Vah1`QN=S=MNFtKi2n
z?s3ZvKvTlkDUnC&sQql7{rQ|Sd;@(J_iY8(pU$M7F;Pd>FHut7Yel42v{t5W0ai9?
z`Gj3iLu_PWnA~}JB;Av3*IxttX?|}MJ4Znh|Gq@-BeJmie&W8B5m0mNmrk7>1>7HO
zv;@+n!Cb3qP$dbdUL^J?XR5;A<w@s4ha|2l2tQpv%!Z1t3nk^H3Y@R&N_3i%ao^*i
zg>NDo5=G>)LM0VEy;L{d^jZStI~Eq371<Ckf5w~(R7QP9_(V%75!IWL$cIX;Ak^|H
z&UUvF1kC@Mp1McC=eg_00?e)Odw^>%jjRY^#?C^iNpVhpQlrph30d0`_ueP+@cL7u
zcX^#S2IeHg6KyR)Tk;F~lr4vYYCG%g>cz13W9a?(77LgyyDt#EUlx{!cI9+wh@s1K
zx2Bhk1%mT!WhlWixVhJ*YWILBs=m4G;BPX=m8J4tt^?Ab)VoGcwu&M+?^W*xm?QGy
z!J+P4DJ<;^t32^T6x5@Jj6aQLc$At{GT$$W=m7mZE_X4+Y&~)RxUCslhi<oA(v*Zi
z#7no*F)^G>$Tv-XY>GCI*f)haWbnH9nyy(d4&J*8w|2Uk!tk4m*-LpcoR>GgU_2HF
z`E4fRUz=cCz&fwa`y_bahij250UOfyEJv^j?lAUxiiMK!Dd(%g%`XJpe4+Pi>aQ`(
z@0~AKGbJI?f}FkiED@R`A1lUA8N)03bNVq^5*DHoGYvLMpt}C~>u^0|e3I=dsU(nK
zvEI#fK#hd+6cd@zE+c%sBl?x0NJ2B=#E>i>8Hb#br!w~&;RRuLcq*HOgy|OUxu0YN
zW!rA;Q#L|)zEj_p{UnU2yAMasNMd5Y%PPSh7RvCG+qQv(vD|$AN6VxUT^G`pdx8bI
z+vnBhIN$5Hi=V(llfl|wM*h?GEcm5HB<QD;VPJ75+|5%K$x?@fPl&K^_4P8}dqhd>
z{T30~c1aG|8)QDbf5k-XiGXh#Zb_o}t}?@YRvvPUgJ1qDWum0<<cdLeDJ%p=2sL;r
z!h_E3ET6%|bM+aPAW<5htjtzq^(bLw-#(V{K_;By?yo5vkw$Z1NNr+~GHN#%Tc-pu
zVRP++l3$Aq)*pDA!F5mto&IN4p7=A-Tx<Wer%D!t##4e*_NvH^dcVIWjETj?mQvqZ
zIe52q)>$i35I;GXCYi*9=k9_{+q&hkqj`VG>E9F-UYh@qe}f4+y?>;AMgcaR2cxw6
z)sR~-N|JcVMEkDIO~F(pyplU>^SMkN%h>!%(o!r)3ViYMFjR)kp;lv?R1E}lF`I4t
zSfE;K`D}QpjLr@XK9e0(M6G5`a<{NxtdPFt@KF_rWh?*QszXDWNSOO6eIp!aUe@>1
zQN_FEE!$pwrJ>>A5x<!`M#z3;*}vnJD()mmY}uDb2T`)kp~uV^t~*KW<YWq-Oe*#k
zGBt7I4N49T7{e-a7xS8)8jh}}RCHBnB3b@JeOsIfer+7daqU$Db3$>}f~18QAD1Ep
zmMIjx^2fh~s>3dusC;Cd78++LZ#`yA(X^NrRkEax!S+7?3jtc#nLnHPyv7V~iJJKh
z@fs+rOObP1uZ8wK)h~A>nPcAS!5N!b4OA5*q<RpwVE2pP`GBhhY~;!!qur@+{j-Pv
z`c+NLrH+fzr7hu*aF2KV0u@0YUoYnIYa*}IA=Uq-C34xW7T#S{Xt76kse_Jv%Rdrj
z)2wjt=U}()Cn_HN2$-sIrD414I|XkB8=v20mNG}F*d3+r;$%gI=HO+Kiid10J0%|T
z;}I2E`U)A`Vj5WEs%xLA448Dh>N}fCMV{t13+@gzygx@1y5|N2#u4oVOsP;1?jQJj
zfPxXv|2~OF0wZ&hfzO_3;OW>%agTy3qGG4EyPO2Nz4TrQI%(j}(EL{QR%Lwlb%;sH
z16rbtGq+c$qv~-+71yL9DlDu;OwMuYU$Vd6BczUad$zUWZg~`)@oSM!16WV_b+2ty
zL#gSyrvnnQIBGmUZn_^Jp0~bbltY1cXjU%&XDLV?c=G=KdO#)A+4pm|Dx5wAH!x<&
zNQgYQ_6;4lxaoKz55FpAD??A`n~+dyR1nlR&BntXWlFk*3W#gp#$Bi+LiX;57z+*;
z_((!OHttgfW9V09dk6vRa}@45h_E3@cu2jyLkS-~+z<}mERLFOLU-gctdQ^{|JcTH
z1&s7u%6s%n6e~qHFPs;$f@`GlY8;VA{tQ3q*d-ANmCaWlNVLQn(&HW{Z8^->IIG>d
zB8+;c^}Uh{7Wh`o+jw_U26uiM!taj|ey?MwSM0GsyzmAGYP&QTS80CS=Y=qCOty3x
zGspObIkmPrDcl+5-lCcygoWO?Kh0j|m{`8~xgCdpH|U!_{kb6oNBv_SO?_s_@F^Ai
zGfl>qq<EDeK4DaC4HO(+YlbsIYahNhB;!)R2_cD7!WgDX#h>jo#k9K3QfCGUmj#Jc
zJ}x4dzZ<uG(`r-vM}MjAvWx`hC$%@zS)z~$d#88snF;=Jo828dB>@G&s$a=AV%QMC
z-tV}<1R@!;l7Gx3V7_P@^~Y2kJ0-|8nRmu0jMQs*|A&Zk6^z58qvCkj8&seZW(@XK
zO3c45A|mUTnND9MK$DL%3OvR*^?kQtQ5_MnMRnt@!9?_)_c3AT8DV&?KyqUP5fM&T
zSCH%^u<Aq%@tKJc9yID4*!O}{|MZcGwG0vlN2w!^U$gL)a>nH(p9HoUu$0a8$k^-X
zB$AZK!j@m&<tsVw3mYUi(kvyRmGG;<+mMB8dXwVp^Ad2qnuJ&{DY%@oMZ-7~G;gCc
ztK}qgXUX+lO_PS8oQOH8fQjk(El$Kl67q9BmMwP6AliX7{VI^7^FwBjvdLsv8YS4h
z){uij>Sf#WOeWMbo%PCV$jI7QXtXCo9+E~E(<fIj5z|rK=(1N52l}3@s~1#6(AsP4
z17n8pxXGN}%$7pL@Kooqvr3TATU;^r)DQ=gRT3%`rP0;MC|5YIj6||^`o9K4Wbl?d
z=@De$b@kSNVf$2YXsefJ+5<yezs)+IEGdhh9xJxSxT|9KDW1vTHbXoS2yk1gD~DT~
z?0wA4De$MyXB>QMh><1PpwFA+@$>TZ&s9`4xczshI-8e?;@$b?N3s;4cjdBDpQJiw
z9hz_4G-jgG$0+O5kRno~&VDW6*T5Ue+h2}GGvUY+6!=tD8H)eX3>N1!;CAU`=DRK?
z`iaZ@*FWX(;-P)$=@BYSUncf$W3lijx+LLgq6*yHi#O)A(C}kPz}BaTg$6ynyARl^
zn9|iF)|{n7^G0ZqD9Z?)7e0Az`KyW(-EVg&cxmGP-ojNhj!&@YINXs^O+n+ojG?p@
zTDTUxk|q#kjL{cqZ^pva@TW^j;q+N8@bx>MI?gmfu2D%xjk-FhgCX3vmun+|l<?#8
zUlWkh2YAJwt0T%QdMIv<HWCAx$phV{aEz*$uic}8-?Ka|R)N~MHC)JEbH@xGd!f6Z
zn~Hk2!Tgw;HcAzfF5F8u$AR`%|H(KiI?hC{y)3AWm32vspPYTK8t>TfYn+Pcv}hUe
zbS>~N)Eez~u|(btUV+P|G~n&Wgp4<u_`bBt@1VLBJfDpY`GnC>x6&imYk`g^@}swU
zlUDe-GHc29I1S6+*9GN$p+S_lK2WTH4RhAa%ISC-gq4FI7~iEr<--O#7X|RlHC7+q
zMgyV9Bs||s1L^N~KJ4=6`0BR*oZaMUNRVj1yz`qHM1;R}-8~PK`X86wSx1FX&7U2`
zVHAX12tNF!1t1-nEdB;6kfZYA`BxQOuGy~37y?WWecqQ;qyeq$;M3K+m2t@L{kN8n
zfXK;F=hZwKkQ?0m-!G282prYh>@)(zc>P)XWR*JFxXYwum~uFF-b=5&3s6uEJN_a{
z4b37Vs}`<G<IBO;RmtVR#CrP`8wx16oSr>A=*;nT-??v2rEqe}AYER$T@`NLCYL3c
zB%FJn>u`dTJE}M9jgL*JAWH1jEnhDpio30Ox>Nz4buA_0LMrelWHg~w9CL4IeOo)&
zpeXlmysf8<*Oqk0*mt6EIBs(E$0|0G{?3gy+*QQBgh3^#5@B$=swY&|Sb=S|C+fAV
z0wPBGlMAK<;ZkxeutL)cAFNJ}xSx^3wN>>$?9U5eEWGXQ?Ho%qD^XfRsIn-{S)qCC
z<_bjIzCA<cwZ!d|x?r6iX|$FtxV;uy0gW#iV$@IzBskiyW}cOT=IQ-A2@m+e7cu1g
zde9t8DN?P3C`r5@%IQ8;!H=w~yEgu_Gsp2&T-9cgWNg2qcH`V9e)z>5T`;UN!$;G_
zn+;hcIN7Z9w|85C`0byRxoBo^OILilqg?`PXnsm%-&TOU_s+AY=S{%~(00BqCxM)!
zkE%!S3Lvkj*M62{ijSWy<31fHVn=A{y`iguSe_%vXgX<vsf!!Ae8q{lp`Gor_nr`(
zk2HRW5a;m1N&Cd=G6Dv!nZ0uTCX6?=r)O84HinKYwX!{!09(6!x0kk}nBHA)x>w#9
z_D-wYMJ))}`EhcFSR;ncPh2L3g+_SU+gP+wjQ}0Hk#|pTh{G%OnscL>5t4fH*^{aS
zEEd(>Toq5i8k@!hkLN4|b`M$@8xvsiY*@T}7ZD`}hIZ`TEM!~wbl=)ez_`}J&A0#w
z2%K9vQ7_6u*74wFuQ?pD9;@rL*h@n3c&?6S6%)UBEa`ivIefB=;y-zk4DQSoRd0Nl
z(0TL0*w}-JU5@`ubQ>i>P|lCCmge~LI00{-UJk!JqQ$y-q+u8`W8Bfp(cwyB-oqUd
zkV{{FU1PHh_U6v?&u1HA4f#w^93Kgd{bvTAwa7wA%c#z8ry)Kh*Cbfil2E^<Y1GD6
z9v!7Nyv0U_*nVvxMJ1UGmE$Gy9WNB%T{RkfoMZ^<W0(Jo{UkB(xof%qQ6+pU2$-q;
z%fMqtDg84ZQW)<Q+5Pqs#{fpl%&JT=@WfzulErpuOl^G{!*xOhb9pL31>YG^<M&b`
z$H*YL$EP?rS{0$&%&o0Cbv8>-lZJ20;zzMsx)jGB3cu~%v?ytapi?_KG``EBFZQnM
zxr1t`F)uBefFWvZOx*QXDRBCr(jXG6j%Ob{Vx*!CVaro9F;S$5JqH4vc#mn|7SE5C
zj8;SNMQzayAu40|vPj(C3@YsT$J*`GnD`heTolu<jIY$8V`Zmkc$0T!i|`pH9-e=9
zcE?2(XjPw{^vR$j+PXd`QicUC`GBR^5LJAqOWP(L)`W&}XkvdE3l?1#oo~%3Fy{5V
z6Xv0Xu&Eal%eEQetzPF^O+hty7b>L8$!Mda)1xU^!5B*;MkzN3)DUn;X!K;QHXKs^
z@U~AHgQTpUW_>{&a#X9TY$F|fkhmGm=r+N0ezL>yEgBf}%(cr*)WP$CrZ+S7rif}g
zI@KviMXN3);rt~X3}x25&$`Fq#n5b?!7VD*l6ma<;&q^%?8M($X^uuUg3JJuhFh{<
zB_3(&Ao<M4+2XqvaJRU!Fn67XX`RDg`p#&hN_Uys(_%{~ia9@5UZjD_Gdh_4Pzzr#
zzFG{qXodP!+HT%VI!2=VME>5_#MwPrPQ8cONc|acEX0Y9*#0ZIo1*FXsVw;B8HWq(
z2MhapE$OJIycW_Er{VF}I>V%Bz#yuJM@p2Aj+IvjUmn#!&ie68)rY|T*VPSGwKTL0
zhcBCcr3TMEH)GcR1zKwbPcR&4Sd%$FRIWimmSCs-I*K)><9TL(RZ=-~I&{%#j|y6n
zzO;}{ts(0eZep{7iaU?K4EZK1fpz5ExPp~6JWV8eCv7zFPU(`z#?|sT_&v8_m!UO&
zuI_eQ9jp#ng@*3xl`>E&4;BxSwFW8jPXD`jHQc_yF%dD6Ncp{?qizOZ7!6;x&ZHol
ztq?HvM*@{IzSB(3{Zk8Qn}>2$@$LG+Y1d`~w7dTa7jQTd;>)A|B3}hL-cN2^xg!QU
zr15t<0v8lqeP#-ku_c`pd}Eg|L|4{t+QbWZHU8A)3Ri+t;-QK|wF0=FfrjnjY^bmt
zCetn|AZbFlNi>rm27DoDRs&Y}y?WPO+K3ziq^2Kayk7=0y*r`1jID6*qtC=H3t61r
z<D+MBjSt$X-q|JDmKaeu^joAt8nPYCv&tR3*tA1V;NYwUir!Xcf3uUq^&HQ%%MQFK
zd9T|r=57JYOSJt)f5<SMP~#gW@q)LZJoW=;uD;J{I!1PoV4OxwpH<^UL^;b}QN|p1
zeM7TaY9z3udhjD<4=?5nekUl!nV}+*d!ePBh_19nq1ThVP_6M+a~U_qg!QA$mvaOJ
z)N-G!KgWktckk6Mx|^cnkzqL9ngD8uU|VkJGPpb4-yi(Q1Q|Dkuhww%x@y<9);0di
zVKd;A`q<P2GV#vr7`ixudA7;c#`2@c%`3~c+!#;Qt~@SD5yOwwk3tJ8SK#OwyAM2i
z#^|y8vG?GNC=MnBR~HKi;>-5qe%hr*$co}QWS1_AOu3rRl2Jl<bHt-_jN=cBgXzi^
z8%5!i*Y)zrauHk|e7@hak%gv*56o^kiQ;x&clydwQ4IZ#k*RiJLFVgufB9feou|z?
z73Sio8?&<1A7$c{`=vIo3Q;Wiy_Ra!CBR-j>BhgqOa$m&%sQYh23xQ2ZZd<2&XymK
z{S}zFzU56tRf8B9iel+kI5{KCyiKpF*$@n_mp=Uv$MU+x?IF8K5U@)WvI{jt-k9ae
zj7o7_5>M?<xIu<R@1ut?%7)NWN_!_{MS#tb++@BvNzR@{7j_LYFm!_G9r%iXtk%JN
zt}W6y5wfrF;W-9aLPA+DQ;1kzz4HB`J{gob@W{^iFmQCF`tTJO38++3bKLyp(3U_A
z7c^o(r1bp@X*vn2tRzuOaRo4JPrYj=FtAZ){f5(0WSsGPxp1RL5no@W7YqG10KGyu
zGek}j9;+5F^=?!K)4*1-X~F>GgnR2Im{OSbmRPsTRRz3(&V@fe8K8Sr`ZxGW<I1XF
z!j%oGcyZ6u?BP!X{M(+8cBD`SKQ8_GnCC~qlSX;IAW;S+UR6mQ<&(pGC+SOKacUSH
zeQ}6x%E0gaLV3OW<guIg?TA*sI$8`fUv1jYfHN<dRrE&zw_doK9BtJ=uF0kn`-co{
z@9@3Qk*S0i-Ps{uCOLk5%gr264UxOC&A0S|GA1pG1P_zxV0;nj+;zziJ~uzI{~l6-
z%3+_HFqS5^_L>bh>oB3_tCX$nrHaZQlI8M_S_tJ%EBoBT#J(3Z)5bOw=syXL<95=9
z<ev|H3K=Y1^!ApxNLRy1z4-NheH~Oyj^y+0G(w(Qo6}A)bri_HDy^K=fkXMbnM@~R
z7*v@Q3Qeg)IV>hA;G`}VY*r7yvonGAz88Os+BA^A>*&J$-@3>Q%#V@g?AK|sLFim2
z74&T9!hafi2ztKF$urapK8gXdZca4NW>wCeCFwz>Lo&JTq&WsI+iD1ZrD4wc)~Pdf
zx`<fFyp~pJfl7VpxTFX=o(vK)Y~*#Zm;0KY@_;2QZ>vs(4$?uWD09APr~@x6E|0@s
ztl;4G$Yq6sCQc_#_q|@Gjrhrk<LQ%Z)M*iiwwY-{Inq3okgEyp@;&oTyMTOIk+=js
zO?3Tx9vm>o$sfaE=3UPL-HG>iDmb}itraCGkWR%^X|l*3b!%LE+o>IPiH=jZSHhL8
z4*n66X0o3(xD&Sy9+anJ2f2_&x1-?d$|`P)Ol!Dr?~$zCPs6(%SEz4Rb9A~oG$7-q
zHDV8~bfT6}v1y?%wyZ`GFNkN0QDlu{tH0_*Jk>zqTbIIOAx_?1b-Jzmf;D^&Iav(!
ztD{M5Ott5{6n=e|t#698#;3n^Lr<To;k8QH_ONIYUhZx@e`cLEvcJ%F_S8_|>z~If
zTuQ*@{0)qQ($)x{Z9hY~q6#aA1M|^`MKOL@ap+b*P;9F5{M>OB)Tg{TknJLfEJdTn
z_5T6>0VltuL?|O;k?;G<?&YYq)iv904%80u-Pqiwh->SY`xyM<Ma}4`fyHNRJTDfw
zuUjvVGQ-8zluB-xlLy6&RM`;n$e<s6CJVw_ixXz^OYGjN&xUmoR&aWF!Abb9G>ndA
zyYL=fWH<lf83=B+M3#F`#C}I9{FiKhMzDW@eROpQPX*Bu|Gh1LwX2$p)J-x*NgwCg
z$7QA86!}`<Ze+~*=Z+*O+FbMyK0VJ)2uqfy-8V<=qomD!i$s_w+^&>ppJxXNSzFbL
zn{)KXze>K304LAS@=ALa*nelnUv`I>!HUN&eymd*eVN?Jj}QK3KM2n2Deo}F5`F76
z_G2+vfAw`Qc)rM{r+-L1rDKX)r1nH!V^M@Ib2=#*vBVZDUbb}lv<VyqjSE(f2&4O~
zcKY(0T)32{di&XuF}M_V?$diHgxm*S_P*uZNQtk=Ul(SK`>b6*+J-p!<jrVtM?Vk7
zZmj#N^}z_d=jDFe(F9@9>f6*R&WH8VQ6eFpMp*6r%}d~#08H-qHWlw&hMg<RMigGM
zKvZk1ytYOFuits>JJz`zQ{SIyZrsemulaVbX;lGOg^4?UUCqf;iLU+hVJ1j>j`$Eb
z=j$jFTjoavP?py(cQ=R$(V*_deU1XyBONDgbyf(*LMJXt{xL*Xbm;I<jsP<B8Vs)n
zh+u!W>XE24LwMV&Pi+wvgyRmAK>rP5@ar_mCUA5t<<NtIb=L)PNPfwluUs7biAU~9
zwK9;U#A6xZCj{>vKO>b+0_Ohe==TM4&b`;n-FFm*m%6G&%r7Fcsv>vhkr}vYuH+ZG
zUIfR-9{<fYAwjIpAg8<4076d2Po)z?apXvp?Lr0_-iODQKE)bf(`{D7kwGyi)LX?d
zmL$>i{_A+473cYMhrZ{x#qp(TVo&WcX%sXbBu_0ffLz}Fl1*_0SasQlEo#a_{^BoF
z#(+MEE$%z!1BkeDG4iy@XF0eYT|DxyL?5p*Ei6O*CE%aYEE&<NfF_mC3plNhtia-^
z5Y8SpsP*%BH7a4oozcUWsE^vIpkvoKyv+VVdL;K%8ANe|@B5GFLp0ulR`W#?x`$)4
zUM^RKY;5bmNQypmYwrKkc92HWjitF)dK3hTDQe%lrjL+MUHr}uWDu^`Jge-lh9?&s
z-4nX>5ij0eskEBIqn!8#iJR(}iHSY*P1pd#x_3O*P0OPoyys}(PYndTlMpN3W`K7S
zggVg@MdVh;1}&|mA#;}Z<xx&Q<z~6a`>mBBBHz&5e3lO5K2IMhI|jHiQfoX}D)9So
zSnI@uCjJI@bI-kHAaH<QP+_2oW98dcEa_|G*IjDl)+|F<-00dB&ZK}Vq`B#Q04H~J
zlS~zNFyTv~gw2|%A#~ljq|!uPI1GR54PMOxHAj`WWUY=hle<L|V)Y=Owl?dUs}We+
z-gsPJrGdo)aUU0TeXM?OIIY3im!j`K8n;<f@ghnpN-0bqMY_kbrLLJ^={E17<@z+p
zMODS_%h3l#sl(Cciz)ooCob~|(-D7Q>&G*>`uP21zC(a*j>$dl&XHZ5e6iwfU0t|7
zPJfa;eBi7FIxV(qNAA<aKi_xG2@3ic?b$#G{%(opjj9*7&uW5rE@5kyi5_S%3Tqb3
z*x)*wH>kNr3*mRmC+FVkU?j^RaKYsNd8F&yqk~$=b*%rnlckLsv25)JkAU^V*USAP
zw4msaR<B{Ni38nMsZZF}NG&;${?J?tF8l1d#V9mr>HFOLbJZGAfg!Y&eVQ1}b+y>>
zN*y`0rV{d$HQIb0Pyevg#BY}7ij+7C!gQ@NB`7wy{JZI5Xbc^53W`r!)l~3)>Ts=~
zr41ySt=$Sw({N~Q{N}n!1&mPL2?}f*Jl$|F<NyCzT(5Hvv$xCOo~Rj@ofhZ3-}nBD
zU=2`P#Jyv^$zX=NKak_IfhKt=*uh90?$SD;@+|~(zq_82`otQ@rT5>Tr66xIyWWu|
z0*c}Hiu_~N_|K{A!-W!6m}wjLhu!AKvQK=z_9oUaI;$(!9i)Ppjm$5K!n|m<6xn4k
z0wl9KHiyxb;U-_bCqMQdo0&S}QIiO~uHkx@^-%%;0{{U3{|uLRIMsg?$6b57*WO&)
zHSWFk{vI>YFj_J~gD43}sT49oipZ9bmWD`0eLs>}KSgDQva*%z{qz5M&hvSmb3U*4
zd8z!T^D^)F681hzU%yWQK%xGt@Z%H-2<_=H%_y72#>9uxgJLjf@W197en<>9q6BP}
zXn(P_pj;oR_hw+PtR2_3TLkXM78oU+p1|Hs1(@I4Foh<DGya;#gn(n<tX%T;Q7k~s
zyCTTc6h5cFyZXCO0EnbW1@Zjf80|`a=fwyUP?FKG@ZjJF?%}xm*|gu7y0Z1VQ+3AR
zEc*V5PC5~SKMPEK`S2U-V0bwFoX;4zm|V{Er|^Qs`}_1Clu_&?8TnuKFoHR^>Jmpw
zZdhT@*g0)Djy*_e*s=KB5YAq?{Kn3R6Q(39xzU$Nto70fODRr6IK29;Z8ex3)RVgu
zzJL3Jje5;qnmA?vi*No7c~7!}hW|I?Ul}u4X7+J^=SF=<(Mg>O&SwFig4@3I6SJ5Z
z`t-p<Qy(^dn=R_cGsDEZoSOKdc}z;2;CnAa52l2d8HS6Q;HpkR>aKuAjQN_H(Fry^
z_#NTd{bz;|EO+N{(=wJZA=jdl(dTuc=4$bZs2?MglickRdsZ>d&^gzE869{VY-E0h
zixJ|wuT~y4*}z)crlc>P)B#tu>X6{C1ei7)Jw4#Y0OI+|><&}fU{l>`@DnG1_J6me
znjR6rl=hv+^|UtJ7P>7u&_aOv;k48$ZYHQd(r8+^tOZXv_o^^$5+HDC{@cJ6X4rpI
z)KWV}3m%PTJyhJy2s^HdRhRLw!m<-1yQGK~>~nm<9s7<Eh$l;%2g=xBFsvo~%wsx;
zU#|+U-oXTAVat`iAsnFVpBr_^h7QsUUhr(030OY3n}qD;f{HU)l1#%i&^+(CkypnI
zs=C-se-|DQ=OMpLjiZ4q*Zm>E=PdARR9s**iVtcnZ#6s6X)x|f`8Zz93jEBwv|J{M
z;86Z1oDZjhpNXHE<v1H)E__e=H27h2fQ_WCOa*7J&d)JM98jLuADkQ~0MBfn`FCV%
z0vXF<@_Nb%D-|;fksE>#=~f#eDXj@4Prt=CcHCQYDBb*iQy89HPqov3ssZ}$=1Ud4
zyx_Hit?G`ID9nYq?#pq|0Hc`9rNVVSP%7F(850$UTg#J749ps^{3hV{1~&=POtlto
z5GCPQ!1BDuM|B9eu}@7+n;#6c&RsRtkOm6PJDBx>I(Yh5cNPT+K;nV+^O6R#5LXeJ
zpOdc+1Y!Te7oP+{JThmm;z=?bM6bRnm#IVWSD*LSEQG=FwZWhF6><>eYN9SUqz;X`
zwL^N}ML_Jvt&=e%1&|Vy=+rgT0LEzDh}f%Q@S~G$=5T}}+_jFsP+y?|nw5o5|2azl
zwfN4%*mWgv4Dgh9_0WW;cnNnfNWqQ!3G9mTDj=!r*Zf(Z3i4(mvmSObkPqRW=F${k
z<d43PB2R-lmiG@NU&#XX#iy|gm1<x%objx<kp}0uwB6oykl~?oKwaNX4R9J-|8OFS
z4&{C+N_0kfX!QDS{HRkC#80V<d<)is^kZ(MZ#oJP!@QHLM2QCa?W29F7qx--^8SFv
z2}RhJ>D5~HnFfVA?+&y*(1AZA(JGyVO7O*j|Ij5*I=p-zi2qyC1*e0&#Ubs=@F9{}
z=1MCa-hX^LE#|8a!rtw1W$P;N+^@r#SwaisbnLTd{uw~$0fOjpehOqpTzGU}R|{I3
z|E#j68o>+G^~g`$YVbVuY8Lla{hZ5zZPl0wD9hfD#fQ|uYN&ShYCRqJkAIsDo;C$O
zaC`|V>hK~heYr!I4h1RpcL}K&*fW616pscp2_9W+I8FnFr9vJ04S?$tVvmy?HJ~y{
zg0cUTCS>kx`rTn=4##MBU*sInfaYS>s-R=)pp##nlhJPu?uLFb6|x$z?fOjpmvU8T
z+_^CO+{*&$np%{*w)Uv>+k!&L7bPeNsr~W0#sYp%fB1W8K@Iku3Y59~O&&t*qmEQD
zSi*3s$A=SKYQWWcjZOB4EPM)QyAm#K2}{JkA#Q(EK{YmQN`6TKWUeJU@<>^Nfb*~H
z@P{g(Hg=S$EL|9oH_MZ(O$!*itXS7!tqf~-$fq-(lE7isU{Su=0<;fJ#5Xl70wdes
z^oB>Akb7q^l<$fKMBBTZ4X{uERT;VuS&<1o-q&!cQ?Y;>2PYnwZ0&L7LA7?VEgrsP
zV)65?Glw5-sfQ~lWH2r*?7Fji8Z%TWJbd+_ITSUWeRa}F20RSfmcQuyz|uOTeRL-P
z=7i=OzWPgo=h;x+ZPK?e@1;|7J?8+h_^OJ82V$_lZr8Oq%{DxO>&j7Qc7T>a>wDWt
zA`q$kQiIO<3s<zGQTwPE6nHUne7GkF4V(@qlb#IWouAl-^qkFL&!Y<CReyev6WYg;
zbb18OYx2$Q3pWMV=aIJ2UPO@Do7Ed#K8l}kkW!9%XaX?|dKGthc%b3nitXmdQM})d
zzwFFUV_28|H9cC+0iT86-D%kz!7cvwo@)>{hSEHeT17c4q>~e}-Y5LV6<5zK9da`Q
zhKiQkYi!JL&90POb!Q0YAYD1eQ)CFq{+4<Q4+vmebV7gR=m73{>u|)483V8-Trx;d
z*u-87RUpZ^pSa#^W^9p_0W1v0b~m42#c*GroV>AaT)2Po0&}iDlzX4JXS96@v!Y0b
zU;q3azZl=48?d4WF9|zthepq1vR<pw`uG=|cP56n$W0FdAKQpNBhO;xm6u*5rZ(U^
zeKK=T*6P9uJwg3X!ZVmx=;eS*BULy#TKD5^O<g$lQr>E^d>SiC;tWnKxr@`wEfeN)
zb%3el*Kdc$32cQ>ALlJqfQhsF`5YwaK>fSp-5v+Vu&!s$k%kSgvD5cV77F9Ep>*@Z
zp#A<4%%tY@JAdsujAew^=_!*oATxy%y|0F`3C>c^8H@k0HEZE4_ed?+b-B4_Z_p6-
zoMFN|{ze<d)a(+K!mI_K1P-croFBxbb_=V!pK8bUzf4-yzD9?=*s%GZ#sSPIZOBw*
zTQ`=+G2g2yK!=n(14hIB1K9RkON*uCKI}{Dw%6|YG{A0s6HJg9z)n)k>~1pmV_2tb
z@f%GVOx`i}Hj^5_#=24$xtRyC*8Xa{gOOBlp!}oV*)f0xHx2h8!C~xjjG&H9sU}<t
zry2ZwIDo1Dd7kWKGJ<*Tc041}rvWu#?ma8IgP6%<kJ;?YV_4-)Z-b|T8la_;_Og6(
z5X&VMsF#mSV7g{+BWE1cfj9ly+31!b?C5<z`s&$f%%6SKuP#Lmn6OFJ>pzCEqIJig
z0y%%Nl1jNFLfsTtvmk%T5*)#dH4i?0B=Qe?`o!_>XC(>*-W_%p2p`2>J$F^Pv2_Rb
z$R5f39i|GBdRWyuaU2sH)VbXjIFCJcNX>Elq5>wn+itCOPGGy#6s5lJTg2YqQ7q)q
zPyykcDoGCQQ`q3}s@%Tg%UJWb9z*G5Ww=+Y&lkY@7c-Gzym_H?6+`#_KDfT11Stmz
z_in)q*4BmB45@5jJEbmo1|L=evtZ^@gPea@lve{^M<4@G)QSoxzAJ(#XQ;lj<Q(?$
zGx34d9|Bw+j4PJkr3gEmo1(A}^Vq3a6W_zBOmOJXe)j#J6yPxH+2oqri&)9d@+K`W
z7Vu2W8~^H{0Bl)W0X*5u*zG=p8lpQJoJ2=%Z~TylL58bVpW9ZkD1-D!l)wRdo*rG<
z8z2v7b8l5@TWw(14%nU!{Ko~e9o8FR?DAm7Gqx@4JOdOvP3ON$=LJl}m_g%_9IRPs
zXWW}7fV$OGj5|(*K8{`2j_#KOxkopsLbsV9UgfQM@Bw}xx!7OZ$twp=*KRsRd$Yg=
zM{6r#aY4w+Ei-d!CBp^mha#&R8-z8-=}xc-1Kx!5)9#YNboWZjMl1(#N9Q@cQ4|GH
zhv*za6d8K6%D#{%xFCC)<+}S>afoXr{c;E;1N!p$l>aqe*v-B9y_i7?r2ifHL5U#4
zslDYk*D8qMo_(=Er%ndm8Y-#i7LXxG=0Yg8ogbvuo`}gGA%pZnv2xunGHgrnEa74j
zgo08<MIBao_|G}GXwgCrc*~^t(}sn>^&~|xu}J|Kj7K>d{*!~MSO3mC&x*j_+GRw3
zq6A_wzi3i%@<6m`n?I&04#yUTl-kNvAm$}iujiZs-1)<1;FTc>@$GX=Yu_kfNIUzv
z<B=jr)c>2@pvyqsq_G_<Q3Dp@eU)A+E5oP1;irApWx@2r+l6m#RG21w$bP)20%K`>
zOWt8}AR^j#AhVMOnRadgoJwlY!Bubii%kJGUJ7RBZPMXH^cSwkY7Hp$iDC`EuL!Rh
zd6v(JYlCW@ckxXx8tiGL80hR(-r`xD?zof=@QzL<M964Ccjd)UDw`@eqzAi~uIWI5
zw8dUiQ5~>~7M6>upuo3;(Zu&9x{#9X8((Rw2jl7tTxxsO;mHM$3MW22;EkC0a{qw=
z(8PXZ)4DX^-QEt9Re3$wd^q)WK+_nW-~=;qZ7OUueP2xK)P-l%i#IqMOrh-YvD9|e
zt#=i_s}@$!g`ywEWz3oY1D^Von`tz7Sf&%*#-sziolKW$e&!%;HlOd^L4#Nxd&lAn
zT97CMh0m{9z$lAIamOePet*h{%gm;MR!u39Ey@x!ZYV!=XrRHVcZ)$f<LVI4UGBoN
z-3l7{+aFs5(I9eXw@Hh&3WPUD4-2(hf#2)WsiY1n5d4M?8%D~5z9?Qhp==G?XA&-T
z1ZsjB?VS*MBn3Rpx^XdJ4f^qQ8Ry@s!{v{HMkYT6A#C<GDN)fHp4(WloBc<Dkt;kT
z-;W%SuCmCh@zV-83MiiypR2%G9yDn2bP>Cnp7FRh)Cxo{xG{^JR{{nvHv>D*5Nvq1
z;;!<7C73OB^)%`$KwkWtkex7#OWw^_{BYC~X4zy$rxwZZn5Ct0WIF-%dU?k1{bvC|
z^9kdx6J)^lE`cRcl?}C@jXD2?ZUHU~8(l4XB;ekwl<yf4T<AP;S`*7K2fnX|kBsgY
zfrze(-i_<LXp>8GyAG2%F!Kk|&gTliZkMF^zxG7*Q=_)TF9hItKTQ#%5aG1p$5Y1R
zM5L5A`8lo&gLc_}5C7Zb0L$}~=6YiiYB#zSE6`;IHbw7U&Kom>d3hT_XdeklOZ40@
z8Zia%?0vw-vVoaor||x<BcV!l)+AddQ}~p4z4uYp9Cp3yzX+s4LivQB_ifcp;M2A7
zwMe^BEW*e0J^LyV?Y?JgNA)rWYPHBVDzsrby(IQ8%|!If?6J?>9V4g@4Ew>-UW0!q
z|IjFuPecWpFKi3P4WTAi_~4Pdzi_Pm>V)=1BKlga(&cSx2%j~+U1Uv}z)uhwKkFPP
zqT?^qInQMnzylIVTC4IOZWnPDlRQR5oYNFp`&E62nemQ$LtVtB;#NQ*l!#(Xn+@EK
z>VuQCV}`%=Dt@!|xWb<-BI1j3WUz17gTA)##x{;kT(G6g<k@#3x@~}DKkw9om70;j
zY#RbHyKuQ+hcXEOQb4W0nLN;Ld--wepRLte?Eb@uF7@)z&fFj&9`Vy?Xtypj;=U*U
zTxCW_qU*lCA@QR%y-}}S-8%3aBY)~3vZ9=0T>o+(@uOMB(dHFD9hf;TF4~{Qh6dfw
zJjnDAKzX{h>jXv}D7P_GKPk?E9JxA9sHq8}?yA}+iTT<PRo`P4T*!%1lis>_kc7}G
z*YbsLmfBEg{rh}^E;mX@X)I9{5JofK>Cp;*w7~Nh=egx?JZR3Dx=~IQL1n|$JGu+B
zprmL}wc;ut8kn;;<MkCqT|68FAGa<4F#Is|s+fqLM9WCkRf{3DIn5r2E&j-P{V;C5
zMMC{9j~}{dN+93xqH3K9I@mkzWPNv&AGt?lx@*3bMAhcwr~z$xx@39pa;^Y673XUm
zdR!XW_1yW`d4~=kB~4j+-w2|bTB-BNVzOI%B~{~?NCyE)tIru@Ldf9Z-i~f=GMc&E
zZ*CAx2M=#*2~AA|{hs8;<$2}Mtd3Y}X*?YUFRz9LUKT~1$>X!RlJe-Me2BwTE*&(&
zhqZr=iJ=^aOR7Tp3dkrI^Rs(T2j@ant#Tg;RQ8H<*LPP%bY_{SOLd73(#xy9Z<Zwy
z^J`7Un{i4=cdX&S3TT1k^}7L9`O=8hPr+f^8)YP8ReM4uPYbTmwVY$sWKq5X(>}_S
z3esB^nBpOA@w<!tP6{6x%^L3Uh?k@wQ$CF|Jz3iD$2CFX$O;*0RlcgPu~0)wo+P_S
z6CEJrb@Ql<%OSf`{S6}*b;Na_SQEdn#d9?sp@bfJ^!;SW!=M8ih<ILTXtq%o!lkt?
zK5tP#DOF}ir42Mu%ODpw@r52dwDbO@{Z<kAtJ+X~|7fDOAA*lMztD%1^~?_PMM{Y4
zz)$<_XQ=4N=AP#|4F)hG-e)cnp^W@8H~pDwsHlc_t(!Dq2>a)fY1_7|pclt7tE!r*
zNdD{8XT>dFP*_kGdcLlL4u;e;iX~Ff5;I}_)-DquKMTy+aa$E-4K@jHFi?^38e2r#
z6;qggtZKcTL_vYRCqId*XrlF?3WJJAW>C%>T;S|OK`iNA3+_xBh*HQ@X<UcFkeh)>
zPZ|X+*Za&EW~iZ$Y1%FhhXEw~XbK0iC}^XJ_g3g1RTO1_Ctv*r@N>SdCN!9Wm`=A|
z{V1q{(p_Iy9nm(2iJ6%_=41+rY5$Z(7FI$Z{o_iyE}FxRKOy-F#j40*$IVlDj0#A=
zj~4l&%pBV4zexTfs3QAOd8ylDWE5)nak8}497N;^SKW<O5U<?3I?)$0NP>{Fe)xwu
zSf}u7oY|+0`fO8A=e?6aseWZ=Xj}DV+zdkZ4k)38W_`;BPEka0c(=+>VGdqAr*<}N
zQ$$5?Bj)y%2%@$gRyX;0b6Bd^TWwHPK(F-=$~?&<p?hH-(E<)z-fbDw>%uIL{=Im*
zfKBos#>A1h-Q4EzL@Q(ammV_O=J0!mo;wFpw|%prg8=?Jmw)9?r7Y^NVV-78U_skN
zMgNYT1n_-cG4WVi2K@-!rzhplh<-&~CD@4oc;zqJjc`e!P4YxXTi+&LIEqELhhy;U
zjMg;AhB$g&zkmKb-x^N3$D^rMZw3M9dRc*23?<F<a+%vK<8imLOtSgR;9>7@=4DI-
zMX7txBfS>!HEw&$S1zUy81~w<EL8}l`Kg}XVZMN07n)RkT5JNrqL)3}xCD_2N6Ch5
z<2*juXCUl4XAFYNM2ggXeuPbOHdyt{<F0!;f9|s}hM3o(ecHYxbbIA)|H)$u_{Yn)
z9Jq6gK#X?U4YqRbQgH_ybY8@5Hm1kXydg-MHhxyU!;4By|9u@zS;7talg;lq8-ikK
zZEf;6H`;aeZ5yZP3O?*tCibDi065cce@GAF+R9z0hY_8tcwYzmLnBE85KrxSOVH&+
zR(|R9giq^u&voZrT(SDV%gE)CqRD}(AInBOn%>0M3y(1yE$D$$M`f0r8#~&&<NU&X
zDFWg-wr!*7xE{RdCdRya!-mrBJgXfJFrwj{2l05nE;ML{Z%^CChNk#4+QmwkkhxFL
z6|#peR10VF0s|Xb6xwYW#L0r1Ty=w2`g9;+W9WL)04sXQ^zn{U6e~*749;{pq5}#^
z`=*K}S&_Qv+ct^-JGvk{T<bio4MRsHeHf+K(2z~T_0}p5lvQVK&U{fD210Ti!-Ck5
zzG$v@=+<4~WtG#FMAQav%_DW1lWgc!t4u|jCl690w+=}>&;sX&?bzLTcC<SrNq5?d
z4{>Z?jTyAjf~MG=fdzIP$S!l^x^XQLz4<OGt~kEM?Y(0Tc2rK(tQEcc(I^QmMPL4?
zkxGaBm(<&=23+W`5qr;soB*;>TR-h$L5IA9CqiP6a--~hNA^4o7DU-mL-~SBG-wQv
zjYqF|P-KH`Olgl0l5IBq*H=!1k_E-Cel0#!mPFo`eMkfqQ<}4Oo}+>Kj(Fqyengb<
z;?YH!4N<h+epQOsh6ay)Oy9RSkkFH(@hWw%#nC+lM*T4f8f<otM!(&`kLE)sZ;z!)
zqI2@!ZY3;I;d03e%l<<GsQ7W>N^z1j;%2=Uz5hQdm>CVHUWyk)vV{73UCy$|LcPf-
zsfr2(JBv>7d=f%6b5lL?r^(2Tp!A{T0~L~QEbpmP7D0BqN=-uZ<j_Fex&YTC6@GIM
z3}LyVh(RW;LGgz?N=dHWV<t|6lxoqSZgp|Q%@lWKMR6;SbXXc%9ca+uhgapcOQ643
zPHpg9R6=r3$R~2P?&Y;@$1TWNQmD++CjDNoGAeoJRhzg*1L1~9S-(&jB;)eEifE;Z
zr1G~*rJkXKS)XIqK)EdXN)REOdqhFcJ1y>9W7mTD<9T6UUXf9mQ$%Sqk2+HM{n%E#
zQVXn02ZgA0awz|hjc3MT4b(4CBbpSc4W2$8f73eT(R8B6fKZVplH^Z6S>Ue&8H1#K
ze<!!{XeINtS{)TFkn0{g1nB~m|8PqnK?!O83hZxpry;HPW!foeTR9cxS)E8!MlrZu
zMc-Q*I(%>cnDkeD@DBJR%PgdVYMq&ipRCc)&CZfO6J<mA6W1ZO%&v;m8+GZ~f^;;}
zaYG|F(Fl}1o0-LbZ}D7-$-S0=j!wVU=i0w!4E%{fxj&03NQx!NEOo1YMa#n&&Hz)$
zk-50oYp#ZNu}zFvY^R}P$A~NRPBUl?e8Z_wu7+NoP1d<+OGU4|3IZHO0eotADc)UF
zLvl*uwvBf+kf@Tude%z-=~QDpkzE~GT|4K)@mLKpcx&}oSeQeV`|FCQLu%;h>=%9O
zU{$oU<?HV~mFD1FawX+nf*R6muRYVlsf_kn8v2j(Tfn~0?fx?x6x8LI?Ia(ofZlnW
zYjk(E0O2|GV!(WBPAliRn%2nZ)^)S}u3;8%uKw_nkBcgjHJ#K>+mJ?&@2!NjL|VWJ
z<?G$$_9`eqb>`p>OdP%SXO(ysVga|prRYColu^O7lmA$|5K<AH!I6Un9Lh_nb?a3`
z2Un~0XF5rUq`jbSByItJWs>yXCn%sbt2xn=cexRJ_Y0xuZ|2b38e$Au^2qY(?F{aC
zRzzmpZ#NgY<sD(qN&-8`$VI61&5gqZ#N|#=%~vspp@T|!<SVl1y42mvUOQLt3&jt@
z3>yK$@;*w1_)4R_C;Lniugv09m?Uu?fi2Gb$nhGJK%So#u98nr;sy=Tj$c+WSfAZH
ztdJmvY`VFvqGN~fAH<`-qBSu{<*_Q4cM?IG1`<atzx3jM=Tjv2dz-;Xm_83?E`;2?
zTh0cZZpZx}Y#VRQFohB!JrRzB0_Z?|;I#?+HvHLlS0?7KCQy_3jJTddLbg{trM;TJ
z;MQHXEIA|-uszCDQNck(z7C?Xr~O)Seya6%hP}qXY>ywr%y>|*)LyTa>aX}({m+j_
zbBzF2tDJULaw4@qHmSi!I&fYFpNj4+e{m@EUw?I;9f{ws7Pc4a!B;mrc@J#)OYbv0
zSSOklJ&=p^HE;Tb>xn0m8gCiE>*S&)z0b^OB+9qOyL}MPXSb#B%;>{#oHv8YekOFd
zoit@EJA#MDhMi({(uXF^f5}lIjEI?Fv70Sx9Cv!7osm+h2NzA={`ZfIfP5}{iC7y?
z<4=X^`)-o;pvK%e*ptS9@@G6;VmJTd>emGoMv`^G##V8Rn{g8#Ia3jWX8z&xJ6O`f
z7<J)@YjV)^+&Z4};vzY3ZVumWmBdIprvs9ukKJvw*YOMS%O)2&7V%d~#eA!?+K~2d
zCwFD#8ZK--R+O!^jBB~5?D`m_4fSc;i;FL=;iya9c|K?rKNn4OOP|+*={Hf923OYb
z<efbf)s}U9Nlt}l-vurBJQ~F3gs<UTlY>TD3Jj>j>-7V6HZ6#-tLMJ1yN<uI)#jlD
z6Ob%NjP3I@I#i@(8ygO+<I(-{yOY`(kq}*e`vDa?)bl-z-SJ@qH<XX#RCHuUSnuIk
zE}RB^-n)Jt`>}~r?cSyQ9cDpG|FWRpg$57qc6JP=GN9OtuBwU|Z0PI6TFKZ96^35E
znN!$HKsOqkTs8eU5dD6rL#F{1B<{TaMAc$M?4dm+PrSJh{dmB?sW?rb+*n~|Q)fa;
zuEI+Zkvu5RVt%k-Km+CisuboenbDQaLiZOfd}wyhf!(n-8gSXeXX;uw3-VwPt!hvt
zArbnecE<{JcxkDZo%@XyeSgh!p#Bm+lF3e8?53(i(f1dvR*vjQwnz?2<^+(fx~7dv
zr5c3ww+?p9a-d(AR;i!jg-|&ge|*pmHOQ1P<r{y;g;oqwZ{~prD)0=b*O;Mz%JyVM
z>k1y!JX;zVB_W24&k#-dODHfYRkhOJ#fR+g9xiN_lt8z8Z|W%pQsDaTrGaS?64IOc
z)_L1T3P};!BO7;7VA?kHm99HK6651z{*WbuNFm84Rn`<pywmsT&^rO-E7<n*AP*V+
z4*&rF{|uLBJeH3a#_f^4_uh{OkG<W;ERs>7QlUY^Pf;XEX&@;hD?~+wlo845KFJ@E
zRivcI$Vib*;@{ir)%l#yxz6{xUW?bcXzrqbbA!#;s+kaSR;_cU9+XG>wV?XuYZS<@
zl7AG^CyaFNt37m`3Mk`x$-nq31@zBuDdS2PMe|+fE={>AVdl>~n`lpU2-yDqaejz6
zGL`qq42&sbWxsj!NoFeiJTNz36(Wf`(sMm~;#HBc;H&4-H!2KYz3ju6E{!QtbF+7B
zD9F4p_F!RA1JW)}RJ`|>#ezKUfqe{A{Ocq)<?Wya6*k@cC0TM<KgM)3@|6ZY?HWA1
zagqjE#%A}2KgnZRYWAO@P%Z4bP2F+cM;jjSKU5x(Q^Z8(!ob9vG+b6Y?N$`315-{c
zJbHmj=x*yh;pC!?Q${tN_bYY5`GL-N>(|OSda5X~Wknk)abb>%()zIWtAAu4zbaDs
zHddW4>0sp=`zD=219<Ua?&N(BHEa$I;H(+c!DGeaw{tv<z$WJ)x72kCrlgJT<>A!D
zRPOHBIvEpquea8*oU4uuwj<>hYdXl<!p^9@VhXx4<r1ILsd$AgnB;w|gK;$<ck_NU
z2lsqJ*TY)_hyS{?@(Sr7y-}#_uBQa}tbVzf{aXXO{IrJmm}sNPj<1tm&jF%@-{p$i
zYT|djGGj>@8n(>5(E1%|3ABjHA98M*=y#u?64EqK(JoBnt&SCB?0BLOC9R286M2$P
z(kN(?5U;QD+6tN{obzYzYG9kPSW?km6`b#~j^fd>hN?&fbG890Dy_tB<z`XD>uIX;
zHK(oNg%Z6d?W;Qe_~}{T_)Hdmw6z5!CtE|r{>yhXA5ze8ATII|y#$IEtZdy#um(!(
z;PXgO!$Xo+Ci*#q@W`jzw&VX<!>17G7mq7d@cWydO?#Yp@cI1yHUpY9Y!=^e3lmmG
zrqilUm7UD^vH0J)ezAhk7u>A}{S>igm?^%;>krA^n`dtlW(B8p7Z;ez<&j0;+SsZ4
zKga{Efokg<R-j%ece{;A4v&OvX_&jvNM^3Km_ALl1fhikE7x90BUPx$hIY1>n9j<T
zcp_y9f?Ep+_Dl&Zw7OVYvoTIwbh#3pkqh8ee=jRMTND+>6Qz%N{U##RPFy-f0np}@
z8!qn>Li#3O-Rj19;*9Nodtdt!AU(<H4@LqQvagAU=g%S$`cpmkON0gV2kvD1-+Nwc
zGmy0VYqCsi>s9?MoNW#~%cm|^Y~jMay{79&>z0YtY&+)f4Q3#6>;S`SS9Yv;!XLh~
zbeZ_TuDEb;&J<QoZ8Oe#$&68SHXceA%S7sjBn5vpQ<zUQwCuaafM+9<njEhz5w`|U
zSXTI&KzaLO&G9`Oq-|S#30w9ek@}x(+fbn~2=+Zb-Dtf^Cb}`U7~WkVJRU#fO<XVn
zsl@2^idPHdv9vRPRWs)aqkE~J_u3gj_c~vxV&iYpqsK&WU*;U4XOkm6o@EH>HamW#
zM@^C2zg)eeUpPx#9FFtoU;gJ8<0mhNJ-(Al%A-Q@?Z1h6p5IYFb{l{QSGkeY*dRH3
zPt3uN>o<|2t7+Ux>Vu9ky>F56N7C-;R=&ccGXzIR1oJkEK1};3M0nlkAp30ERGzm^
z6BgZ_jq11c;LQ4~mrpW~+|IXI%aCQ72;PvcG2_&OEhlXheUmaszTl(9@>hNldp*P-
zxLwwT*LyyR7)h2AmmFBhMcZG5uMdUJbzKK;8HYT5Z1tKb%IG*-v-KB2Q~B(~bzTQ1
zJbvs!`Zl6rB<rYs$}i$?dUcflhBnw2E}XPje@9HXh0jFFPZLwBnYVXb{ig@V*%oT`
z5=Cv>+`{Lk2{yKP@j`BG(2dAA=cx9XaJD-zu=C0c;hJo*wmXvsZHdbVF8}>XcwX1%
zJgfbic%!M}>#R-#BVmt{Tl>Ee_LBlFqx7>xh`FBm?{F>nwze4k-E^4PEqY$^(c&x-
z?);c1u0Rvo1b5jmNRJXtbIE(;`R0jG;>iA;{Ti^Dn0eR2F-H8HAZny`ED$!87X7+H
z8W0gsS=i4pL2wTA1T?)|BvyKTO~iImfy+;nH(&7w0Z9{CweHJ=*Tu++<#csOy>2af
zeeX{qi2HFYuk<RR5V@!A?Jxyw-yTbwtePgCj{lU}DY`~*{87+I)1$!gh;G3La=!`k
zmgu)T_Upv2(Uw-9>uSImobtN#!Ysk#uI^;-Ne9BQGEOkA3d-eU`Pr*;#7511Yr`^n
z!0sQ<UAL;j(VQdovZ)IMU9o#)G?fuP2)sU3U#<e4kEY(Kxi1kLY}~se+L(YP*6(Ax
zq6#E1y*M;yu|mvIpY&Fzv%vRi3F*d6WvEjYu3&fjLu_2XTVa~S23G50bll>~0Q27A
z?sxtY@|RQF55C+4Y_xKImAgtnjontA!c7N_g;FJd<+z}^MSZDMQwbWVBKpez(Sux$
zZLWDe4@{a)Cj~buLO+v%RrpT^$fl<~_1?}0EUDCB-y@2U_Vt(2N)i)9e&`i#9OH*2
z@v-z`Aw{rZA_lE|Sm5~mZ`2EUf^Z^yu&lO20qA$~HreiF16iqx%%SVTK!1nD$Sz$0
zb{=inq!+UZfXST4=bk7GsOp1PpaN`s+P~$}1Sh<kEtU=%7YE+z9qw26DZu&UP0WK=
zc%XAO<3;EpDFEFK#WF7iXp!P`Owr;4uVdv}PMor!li%|^;G6<D1_wG7z2paBGL*jM
zvK%;QrWTBqD?rBHu?CGGLGV(K@F*5jfU0|*TJ(I1knLv&VUEJEE;#r-s9h1#>z=J1
zNl}FDQb+%*bryxvv4^(x_mrVlHcl;fixT8~3N(LpUL0N(>&qJ@sRCEYnISG6Wr&Zl
zZ-3n@3Bh<acO#1e)ytbQdv>b;$G{k)`hFSE{f~jiuZ{|@>RRW!npI)sW^kqin;Z;X
z@;i5EN)rkPmewJL0&lpdo_7SxL;s#@ZR`m&&{W&>bLTxO)Cz<*@+>NV&Ft;DtOwfQ
zVq^9uT2c$78VA`Tt}4M~<g)vzr#diP*yrL#rw!Z#ePAV{0#ge1oGN#9;f?;*nV$TA
z`Js-fyQ@|ewwcf6UJlTM$08huZ$|4uReeJJ8#fB5>qt2M<j{v~XRYBaw+*1Fis$<H
zfI2LloO4q=rVo>|LCD@~1P5QuzA|*y02_I)Qzy>pga7%{{b%(}p(XNE@2ONx&@Z_s
zqM)Y_-bJ$Zm3ii%cPT%o`jHmoxJbBp#p%H_m)yJFYydTxp}$_5&>*4eolRY&F0|R+
z{^F`_2~0oE=e$2l1Fsz^!Z$>9K=t08W}2lHoH|^kcQ}p)BUev9w%JRAD#pdWXH;v@
z9(kXVae@Z7+k`2#|MtAPZ)8)#q&2LG-dpUEr-8GUtb$#DDzvN|{CxAY4ZKcmEq?5*
z1z%p6rR-W$fV~%1&geGVK>ylZU3q3rP&>=-zg<TLWQRPaTff_YR@e*4f<P)vo%p(|
zc|aHraK6==?Y05BExhhWb16VaaS(8d;fAK)ZS;A!ZQ!Dfx#Xt;Rj?2@$$BP24=syv
ztQzJva3MzTYE-f^tZvLE$oqXK606#ErJAkb+pnl%!5~G*U-)=)#%F*`QsS=(wz7tm
z4QkOvXL-=M6Zhx0(h?c!$MR6-nH6+h(z{${C=0`D>#i)(^!V+Nbwi<y6&%Q4j?D9w
zgl>-RX$3kK9An)4!Y<Ad%&Dn*d5NNM?jBDWmkB$HNv3`n`U7y~+eCu#iXe<D4R7~3
z!GXn;g6juP0#Hw=A1J-g2R9P0@ACS<iK)jW^h$aN5Zk4)qg|E@rp?&Gs5xB7md^Gm
zwATXUKef8QxWWn^1HPLnb6l9;{Da5hyE)i3;f<*O7=ZJ2GXvWK7xqeZ=cLn{!wU%=
z<LQDw#KpN>FL=d;(SF>wx>d~}OkJmC<nSEvMJi*XEr1Iz@ZMAq_cR5I9e+00Esqgx
z1y4I?dAQK`<adi}X(o`#?RItka1XIAAAD}Dj1xlxWj{E4F@}?Mcelxn+$WO^uK!*+
zz=<{wW!o~;jbW2y#Ad!nz2wCwc6obMIWgdzOYhrABVY`PR@`%Flq@<d|K&0}CsxSs
zWpx@bgw3h-^*335k@+1%<2oFixPAGOSDv*Y+=l;^tp1uM?RIy6o1<}J<%zUy|2;K;
z`ISs%o~T7~%W-|Tqvttsa;U1*Q^o)s1?CeJKCY0LsFvJ`vz+J`bnAnDsy=9C+q^2C
zTO*H4ey6S`a$%)a=k53W|9s|hY>emo2HEPkFKA{jH~ufmcw90?55%4)2)FK|N2S{Q
zquD!oP)~3qn@vg&#;Y5&I!Oks@QV5_V9txb0^jsz7V5%tPGZhOnhEp0<8$|q@#2Li
zmG>shb)njS+jh$cW=s(bH0&whL-81WS%F?1@Qp9;6dGYc;lnDfT37i|#y)|2ONb8q
zIJj&tw37{Quel~0g$ZD1*}&Z<2^~<e@o0c|>^Mh@^6k7Ph|Qax)qQKy27|{&s|OEo
zAbb3y(_`gAINDYpyBwws?)En~OR;fbhp}%**qSgN&z-fsq^}JT$;TcIH*(|G%u??-
zA5mm_TI|EIOoO7U`MS)myy(-XxL<Ts42KL_dW~MwAh&;A(8q}nsec+RSYsqGH5_wV
z(rD0ZmhQu`j~_FN%(Er7O5vdge$?y`8oY_2l%9?dKx0oWug{t?$g`7ZF7c*;-T@AS
zxo3jtS+w@B>b5NQJi$~s4;ttk&Q-2i7sAOjE=z|ZITY%foYe88LBDJn(d{LITeR(t
zJZP84%J8CShX5MPpKD*__$Z3g)}McjZYW^Pja%k3i8L5|+ORb2Cyvo&$F}BJDB(D`
z>$Wt};F)GZS~!m+-o8{W`Z7itH_7y^r|@Y**n0}cxppaZel^)}__GRr-L^emDo`70
z%~VhP$d$nc%~1a~9W|6VXWyYbt_^Xl3(-7HvUp_7ohBVi!Nh0P!+ZbrM2PKMw*H?S
z=A`(Kx_?&31n)>89R*$BmS%tQrbQk(Yn?Zn$Y`MKXjWg<gf6)1+OS#oD4^@jbxWsh
zn%EbjrGM_N9$d+^5-k3vh#AG+^z)ut*t=b()vQ$?YCau&=ryH;6~_yXy2#S-X2Pwi
zwh;rMU-f^rG^32PprtUGP#WfqomK7>HiF}4U!4k`RKbzfO4~2RG#ne<TN1a=81iW9
zP7d!?vALe?*;`LT!#D5qdY_p<kQHa=l?Q4l#P1Mf`k02N#k-361k9jpzV#7@Cj}n`
zlu5Yz(NMc9_O;_Fb5KfL^PTufK`F}C1E(gnQ1JM8aYm~JY>AW%&)cPrjyD*aR|+-J
zqM$I|iXA}u_>nzXsp^<4AxMl0X(0c{p12)30JJK-JqPmCu|nCdeVe{I{(N~-sYt;R
z>P!wG<3)AMV0PjpMAYyM>wmI^NtST_Kr)x9nmWcc6)HEsRmOM63I^{_Sb}_^gJ<MD
z3d+2pRzE+Yh%yTnb-XH8Kv?I#Ui+bjVg@@$RoCTkt%v^cJqIgD)WO<qTxwY16TN4L
zg$#P_|K+aiW(CDp5A|DesG<m=8Om8Hj&w&xoP4)f0o~-u!r&=ooImEtx^h7nv%M=P
zzA0NlCA)RtOr;V=w_g2n?=e5d<T)IRo3jKrQN0}vrxo$#sHwBqb#Cl>8)zF-Y6%Ws
zUi`0GO#!E`tH`82V8f2>6w#jtEunhwV-EipITT%0oSS^Wi04P>iZZz@Avkt@&^1{W
zP2UFjpJd)3&)jx)kShfkb=JA$mM@L<LNA{%?p`Jb+y!(CTmU>Y<Kl)v5{<q`e;AdS
zBQJ}WD$ac-;AGGiiuJM>COXINR`L2p9(kS@@>`GqS=++Ou6H6Bs`Dp0sA`;anX%wM
z;bZ}&P0G#Z-wWYx8!wBGt0N>W>w4_kHFGH9IQ($wj{tfl6e{lS86sO1vrWsJ&7ibu
z|Ctd-evI;a5ue2{M9$SJ)$HIfgEii=Xx>I%Om#Tn(`_?E78KUFY~OAQ4BjH$W^LSf
z<DL5LIp1MY=-{uexjQCM=UTXUU=JrQ|GByLpV=tce5=08<CifAsh!qVrftG-we5~Y
zcgIL~=V|||*2a*#Yq=!Pfep(iW9HpLCdo-^iQ4HqM$i$N^R4y)3vwhp<cN9rliZf)
z9mv0C2z_@XeT>YRu`%`)J9EMeX=;<K?BHbxMES7TFHR=({Ofnu_V_G$*CgpJW0L{+
z*R2)w^D^Sh*MZ|p-t*+)(4qUPx&|QO!D?(_%YcCojwbg6ERsCorA&Fb`e5Ne>rQ=0
zk3o4kF4D=%WUQvU!y!?9P?xyk@=}`~3v5rHckfyyLvyY6dM4_@Pm{6q@56NX=-7O(
zu<Bp(Z^=pV3*35OEX_;Hsiwo6xm<;zj15vN>0{}ecwI1&l}!5Zj1DvG7K$T<>2a5s
z@2s(qE?f?sV(x3BLr&eW8^(bQD3#M*_C8w&dga*NcCymryK84oe;Z)L$gd`jcd0rM
zN=bjS)r%hQx-2lT9%jZa{{;Qwm)fwEkG)Q&haTrHTM3<EWX0<|OAW$q+93beVEXD2
z1}qLYYBzq#hN2g0r52`Xu<dfe+h{RHjB&V#@#&k8)OzU>7*B(qA0MkPj5A_qynW?#
z3Mcx1?5U{Lr9tG^pdjH7Oek^o!!4%jf1D*RZc?k(f}0$4J}}ITvU3hQ+^+EA7q7mP
z(IQ$<E91Fl!pDkVD#9lh>iMuKv-On2MNL@t4<5Sa!-kD7Y6sTD1@O6iPOsyF28=Rl
z-JI)T#{(hjXOnIUqQedok>oQPFmbrv?fgj&d|?&DI4&cMy=R7hxwC0N@}(?iUtKO7
zK2(;b*(HJnCqF%ADxiY6V{W#r91pq=ne2<r6T^y}eEn^nRPYv)v{uaKML~|&YV=tW
zs5gdXYI0OyS5|<xulX>|$MfL9Dk&76UyB=EQwLUE%d#m30o)n6w_ami26uJ`1giX2
zhv$d(;P<_Pc)@n7QK|kv-f5XVS)rps%cHRTP5*rN!T!<0<BRebzfk<AQ;Q0YHj&gQ
zUlG*R8RB?3pn&q<ZB8ddQo%L6*1}0t4A1)Ck!IemgpS6X%`vM~c#`%?lyO2Fi(Ioa
zKJ_T$mh0h%Pv&Sq7N6@<+eb;f7O+Pl>xe3v9ea4fHCPh{+Yd|_j!9$Yu;+#IEEN2@
zQPX-fQVSwf-oFmNCW}}8lq6dhsw2Nh#f9)gG~lgE;vD+NX>aDfHJ)u6D7EQM#W_`N
zaJ;VmnW0}E&0|zS>$@g4X0V?A#H|BC$?`RBf{J*5waNRuJ`J;uexRv{=>or)n$xL&
zb04qqGWc(dhK&ZJDg0aXz$?L&Zaq;M-!Ry<R!3^1<bcg0N2We(7vZ{pt4#$>`siX3
z*R*kO7AZW=V+c8C3JTlTRk3kfMBh7S9kg2%HjBA$1pTVzcKf6$*!FiV`_3sHEc5>Q
zJI&Dq1X~KKbrsdI`b_-Xs<#flPB+_pirEaB{n(<vuu}0)A$w9TzYgXK9gW*kZ~hNp
zT8mRi#j~&aE;e4(#*m~|sVgA_5Eqg|E^pSrJ%W*TrPVZ)jCf*h8w;>t<*qT7tbuk0
zA#MK0w9sLX-v9P&wgju;jtRj$4RoM=Ui4d`B3D9yo!OKnh?;z@Hwn_fxasK_H$w`>
zhi#L<Q&x~<+LOq(K}B)4*gd`GDkzb<>hIiV1%nPj#m$aX+&;(=@mp09)A9=*X-Hdx
z__x^Krrzqf>>$n>FDQq?M+Eb(64oGF;yGvz6cl)7<KUwwi5Bn6n9ac&RyV7Bvsh5Y
z$@-ZP<7{CRQWkE%tzZo@0rb(2VpQ<aZFBAGQG6I_cIs~1Pb)ZIkn3g4q>R+kWrkOb
zn=sm<iXlAL3K|U#G)Dv~BG=3q!K%lAI|BGpx7k}kNlL(9w@>ou`^O_!)MANzW_74D
zbJ!9Z@4h;C$65~IaNP-`ujAy8?%s#SA(mhy|7(dMKn5lM92=@T&`v%*VfNC4$r9`&
z)Sh<*N@C2q)vtq;CSv3MD$9igfTSO%|C`AW!}o;vt?L;Bgl5lY^-M{Cm+nnD&eOt}
zuJG2yW%fH^e&R%%<W2%4qM93;f&@|UnnwBf^B;s*(YbF)r!2rE&*A)G6@Ik-=$}1*
z;}`Kc<@u$ibaUW7vv1@D7cWkGj7{DBGEFEl>4zO`FoQ$Kna|ibaANu#^oFfZ6H9q|
z7R8IE;ID+4w2y2kHsw>3VmeLi+BJHnRLd0PmontqkQsS-DK&fE|0FCo;;!1AFag&$
zo6k3_GoZM=;NQySA4I~1jd$7=#-Nd?vp|ib!~aCW1kQC&5Za#mBq{X9a70<x^zQ%G
zNSm1X&}UI&L{>#o*|+UR(EH0ixN&)zq(!Q!vZ{^}wX{nwISLJ7HBflw(1QiC<-vz1
zQ!PWp!{(13UM&B5)^+wTk>o6?Cs%*EA$*WHx{)t-+s^=YRf!b8G@T*M^cMZIZ}b!D
zI<wEuwdsQ#OM3d0^c2~#n~}n_|08ihdgND!p*~~>WhiC)jFa12i1yQg-9#UMx8k9P
zdaxjHKQBsSluVA=kjZc9BzUfxv~Y;&LDX{i51XJNQglstTk5+O!a!>5MfN|gaV*yb
zi^&a=&6-MS$tewl;E9>|Wp-Vt%3xtB+TBkke8q|O$8|)kL8H`iv<?VN2Q<VBd?Lrj
z1-A|GJtMAp?CXzU*8y+c+;(%%4`k{l`6a*D`$VS8{Kb<uwZSG;$MAu4H%T`<IB2|N
zOOSbe*=54o;PUy)3ofU3WbB<iAx;H%$>H#;p49s^`1>vS?zhjKWM_S`Z<t33*)mz9
z-AJQ>Jhj|^F0_N3S*NJjELD;L1p=4fU(o`aKrf|_t!<=_{NJX{P9*90Dc+6osU}R(
z39i-Vye0GYK5-K>eN84Ejvbus*MP6*ErY7Qx00%trR+Ew8cE{qyVqfS8qn7+S$#OA
zm85(yrI|UkkW!ozqQP6KaLvE3Htl{ZY25oEw{o<NTv1K%tcz8LwSWeDRo1uULc_wE
zZfhrL9@n{>)<J=&#BvR+drSUy$J3(E-;swt8&irzDX__vr@yGajTBhDz8+Q8O`02|
ztMK}%0egkKU9CU|DSSsoBIEN1^3%oq-)7aS&=^!#%d@MKT;&%q%#{B`4jgz8B*?D{
zEMICn)Ev9W8EZWW;grwh8RzzivjHklZ0LP~&F>v~Fy>3@PvfuTi$_j>TsxFum!4g>
zOyPTy0<M)taf76d7p?J<o-&kNV{Zr*=^<&FNj)Z#L*zbgXZra&N?@P;ytSnC1L=K4
z@P&TYFnO&#Q8u1K377?hSk}&cB<0|FQ(f^WsgTceg*dMWExYzTRSWAQgN`%BcGZrN
zW7@Q5v$G1Yxg(wRaY;YfSD3;)@ppn$Ji6~;y1xR5p1+!(r8q#IYsf#wa(0Rg%MX)R
zoRkN9&3j@KKL^PTRRPszy=gLTO^9;+xIFOBBv=Op43QT*H*K|${7sG$`q!Ff<lx5A
zTev4OLPq#Tlt?trlG{99MfRSRgI8aY_3r;1C7<5o3^<)NPnunx%X!Hn2a%a`ymAX;
zB*k!{#58Y_WK{V?My1I@h43L2cil<yrcu#}pF_*!?H&BimQ-2r3T3hqd^$z8kBT_m
z+5d+;7dKME7b^pNXDi)59-k&9JpJ#oNUxItuE)BW8>FFj&^_>{@o#dgK`7~zOov_a
zyFWCrNQ1Ij<T<{vS#oRbsY5Q-45(+nf4Y0S6qFsy2y1&aPipqj`KQV<Aq#VP^KiZ-
z)bI2P7U)<cZ%Q7rP|;?=isdGu4t7ZpNa@kuFStT(1jcs7hOyzbm&2mPArf%m*-Cj`
z+8=UVXu<tG0|%}Ja)b@fh{N`92Z<4{b#jqMBsH&-3uPI%PRNIeLy5AYzSzHf+hKMp
zJS&(NjU)?2ZwiWo!s%Ow4+JpajSEMEwKe$BHz&5Jv0e<qMQ%K`aAm?B(X6gE0)m)3
zhn<^Z#Gt8v!#K*11<gXFKX0W9<H*t9s_sX`faX);9QK?IJ@j49FNTYv!@H`tG5_?o
z9p}XxtU3NY6Q>!WO%hltEBY<@rWkPD^2-en;>NmC(OVZjO5uai6_ID(#Nehi!_rhb
zFP^oRDGmsc#beE5-FJ?OgW0oQlXuSi_}>`^N`;a<ZfY}Z?$VV2=kB{TuXO}*r|D(B
zmOl#E(3r5j%U%*LsQ;|xwH3yF*9y$)R+O-BS8@5_8Y%ex@>zBFHBr3Tbbs`oj4EE7
zEqL5>TLyLpy!ri#Q37p4<!{LNQ&5T3Uj5RVEbQ6IEBdKi3din6ERBAqqUi*GaM>Ao
zxZi51&Fn0TNiyRb3`eyvbNlFz_YR7%J7Laj|9~9EJXU?i&8&@OCic1Omz3eDCu^HT
ztOBlwk38+zrGr2B_wD!AP=lx1Wt!(4l`w6%>-njNy6DnRrPp$&!v6sP0RR6Km}xxJ
zZx_bx`!<8IZ)0D=j2Sy~ji^W^Dn<22N`z=br6Ogi?2#qPTH2&d5ff=4vZYdy2qlp%
zYo2-Do)`D;bD!Ti*L8jGP;!37A2n@O?5+U2jy@VoM6bdwh1(btb&GFbbL+Amdj)-H
zU!b#uZE`O^BvbL(jcER6SdYc8I<@x7H&Yh5YE<xQEDbw+edGii3|O0TE@dB%He*F_
zPO79BnBmV}<)@$G4OvG#Pp{^CX~x=daCiD$UQ4_Uf006#G-e$cY1~_Q*^IR&zfank
z!v;Gf<2$?SjallOF6B-BHDztz&o{D<6Y%`3=~KFn!fO5$`u<Z3o%Q<mi(4vTOf-3(
zm}n@au*!5K*8bI?v7A^M5-VHnph9r{Pojy!+MP6D`IVo_YW*_iy>@XWZdQI1=&hiz
zF6|b2x<kc?b>ZVrF2_-O9H5J~mG7Xis^7&sb3SI@`{31q_ACb^28S9QXf|eD4BhC`
zr=h{J8~U}z;-3RpD|9V3@*A__ZvS(;?WV+f%zGuiLU9$E`<`fS&@yC&NFKH87nEe_
zWw`R5UUWeE_qC@?r}bG$pQm#>61iEKJ4y!jU2{MkbzA=GWL;MI$CBRn7N2XwVhgFA
z1`a@~auP#Co0U3Vd~j{~BxBN?f3JLoJzT;E!cC5AuoC<Sx+QXXK#lSY*fO>fhD4%k
z=C~S*XZ^tBvsn=w(XUuh#9WDV(JJm!qspwZ+SNYexdd2#;8`9{vqO0Zzw{-FJS*c>
zbah;}B*NpS-2eP!VrS~-LuFOctQhgHwL~vz94RdgdgjQ)>&9CSx#<L!97p+@;LRkc
zpEFdSy9@k!!{lp@5@zMx%XE1Cg@m5zd#0uuz^=o?RrAq2EDNK~LLM0z+$ytK*$xIY
zRDXzEc3rHc3f(;TLQV$FS%z1Poo%5iadD!rd%X63X##U}j)Zet_*2yVZE*XoEPYn5
zyEdn$Kg#GO34!%gYlRGJq|?X#-n!nvSYif8H(VgWeeUA5xHc=4YwpxKy!f5bbeVrZ
z$eo1Vh|ug=IV&g(&I{THOfa&l*6b70BjJI4UbkAXCCd7}&#OqzF-ij0Er^JaaQ<VM
z^2i$toTY3M`9xS|47*ZC-gA(k+jsHaKDq^}7*}5#GPn>Q+H+1vm;|%nJ-R<i%yHxL
zF8Q=aJlNOTxv}4XgyFWw$2wHa5k3&lk-o@>>|Gx<*7=bjU@>3GDlh|wE934L89}^$
zr>;V;BEgEf>gitgzTER;1#Tb;BcSDEg_N!gf}gu=z53J?w*QtiIj2Nmb*;Zm`>qT`
zo&WH8ZZSo}<J2VQ=VIV1i3~j9CJW_PaL${dL$p~!;FrAwq(TS~kdVW7{eOk=d2}2I
zF)`n$Nr0eT(3_k=IpkfNT->mpjs=?sy8L`ZtXJUVnCp^<U_(Tq86O?z-NLsY`9TEK
z$)c~mD!{mO`DE4$8s1IX{jF=0#Qo=9kJ7o7;32Rs;cF5NxAz}6Yh_6x{=SjR3tMFb
z=Zb8I_n{%LII+O4QW{5t3=+~)R4{kxu(uk62Jy;QO{X4{K<a;e^?0Nz#3oiHuF|4m
z@RU+~MS~1N2I&vqTC2fGATPgImWKDFFX1&`WU<|BHgAZRj8%Q*M`uaw^CN%NJ8;Qk
zYOYn}=6f>qj54=zlWA!5J0+E8qJYZLW#{U0bu1RmeonTefitJD@pY&o8b2F$`Xp)K
zm9NOHKyMl*NJ&Y-)k;YIqA?g3s)_A2&0gCxY49+pjB6ySVDG?7;~Sf_aI@H9FX;;n
z))T%?offKSqiTh<(zT%x9rMD}gpS1qQQ5NJs>s!Oe*ZK<2m3T7&QP-HSc*9^`l3V)
zo~t_jJNk7nyUd!kBbp-S`MD&P7a4oV)H(NSx==DzqVCKwg=_H3rXG29Bn`hJt@O}C
zdhEEPJlzb>1oNEbJJjJ|xU6<`N)Oyz&V~6sW++;kDNv5pKtXSMM|G$^CgV77XJnY;
z$#~~J7n&y8_Rcnac%zT_=OSwIo)(y+T=xF(UK0Y=UswL%Fko-!!qjbDODJw*{=OHi
z1%-}@peup~7zjFh(tg<z*Gl?Ao2IoeVpl`X=-0<k@X9XR4_2so);BB~pbd^&-X|`e
z*GIKc=il??){yy?FrEBL8wJQa-^Z<wU_MWB(`g$V|Kgi>PfQ1EwiyNQb<zW2{)2tU
zI$MnHat>x%>fqkB(b3O7x}Y(Y-f{~v@U^LbMVg}y(%uUkE8nPt=z~US?iCDBC(0el
ztaMO*bol*GMQ!jUCu)8r1BV2b2=)>>SpHHe(buF2%YU^;)xCi18h=9nOKqH5wdqOQ
z9u4%)$M+8=0YOWJZ{F<EM!;J`O2`Zums+YqQrY@;y-hT7@w*m+W6!=0IIV_1mAvQq
z8i4(lrUk+qwJ@FMqCYFGiY@z}+)Zx;qD9myh}Sf6;*IQ=Uja(6O?3S>UI#q3dRQ6r
zTLUBIQ|+r-<?(Z;?3mIWfOR!(K|n_X55w;q?cXg6Uy6l_dosYk(Ia*9R&}gXjlDia
zB_Z!we%72Hkk!$?PxLey?@r#W7qyl`dUitAely@U&GUTW4K*w)SU>*nG!dCQ47-&%
zfW|trH2Zg|*zH{5ATCINez@_%gR>0m-glw*1sA(MC&)?76vy?6E%Ztr26RO`4DEuH
z;r^#VGBjBfJR?gk2aemKO+UBk&38rEh~8gyaYh(Uxk<a4#%#dl!ON3$Kmn;^(?O2U
zgus70$k5lz2AT>tMhr>v5Y_BVd^#iuzC$UibKY8GKfTkWq+J#iw=-vyyxDc~!=yA@
zYoufjmTkH&gPf`)#}N%dglpM<vbt>rxpiIzQaL1KElx)>^aZiX<=@N}6)Wu4cKo^F
znlxUB1u9Mj3gX;+>Vea#mN;Ir-%F}Z3MV(Gw^jEG;@%mr4m$x$sH{o%(3X}$(uPl2
zlmsE<d|v%;`IH4jGMqwX4oQN^@Ct766vp|VYOkc0%+c{E$k%z42uqK~-6NYsz(dHb
zXgO|<Qwq1|q)riWV=6c8&H+&b?|nCXfWsUmLi6nv`b5OaxFmDj6GPYotqf+I8M1yf
ztoI!wpdg(jWG*CuVT|1imoh`@F{zZmMgl}v3c5-)NkBHQAYe<eDLN&jKgm@SaPigU
z`CmB%goS-nQLr+_t2Jrc8tVxV8rX5S{WuZPFUnR6chTYhG9YE_D*>fi7LL5ZlBnXk
zA{=^zjxQpG7bGN!V1+fv|J*Ny0FB6Zmlf$a+<tttaT^hyaZ7Gor={VydHUtZD;h-p
zss3!gPeem=gg{>@39~P)^=psOaM#V$cS2nfIVvs<s=YEGB`Lm*rPE*~S<T5`DvAAi
zkzQMM<>0w3^}o6q6Zj1UZeO-x>wnIl3b9yuSeXnI&efVA^ZJ1K`(Y{6FvA9K&MM%_
zbG_`BDJE#wR(O<JDh-daGyj55D5337kVjXb2|QE3?KVG3g5OQYRj#sZzi4+W`nu5s
zuNYBEjb1WXZ@cFv$1YVI;U6Er%QOLP=kF+MPgxlDmAu%wQVo6|Bj0P<m>_KahDeaV
z9A2Hc(_LUdM&{*(SS<$=^mNQck<Q7ZFT+#ki;_CLBi)H*9wxYYp{1t2RsoNZ+F2{D
zfq_$wnzv7wU{hRv4~tI;ghnfmB%&r{d`1T;6(-P;e%vASpE8aLte2D|Y9af5(3utN
zK8#y)Jg|AGg3X5v2G0_-5xu-qJ$5Y(4(fVJ&+=69up=)%NmK`Z1_@m}_h^uoH%xo_
zpBnz9Y=8-uE|v(#Gptt7(XwFsK~9s5MB^p*k3V%0YW~{n*b_QrMO2LiM#<>>$P#g@
z(*rSz`umXw+b_ngNj?wMA+WqEbv#-h>qBSP9uPHyG)D<{$uSMQjQ`YHq-B5%mgn01
zHZzQ`IgvYOt%)a*lm`~22I%NHnwDB@j)<=2Fv^T39uG8?Ui@c(XDjyBkDj%F*seE;
zy@gu1tuWjyp}hi*ySe8x4_HEH#~yxvJ8f{A%B<*8Sb^O<%imbORuGyGI;!5H4Yxx*
zza2js;H18n(!^G4<hNfEj##OK)`?9{`*s-MT<YeB#!faU5eTj%<m=%2#-i(5*YuHH
z{O_)zi7kG<`{1<vMF%`2X`S;`diW-+?wKIQ05ADf?C_Efep#*-{hFhT_)lIpNbea)
zNXo7-V%N{`Jjp+?K?jEYeteSlz*2ebafwel=sxOVl-i?({e+rlLy17Ma;I=brVegJ
zTNht()r5T;%{Yy%=e_i2y?Qhq3|+fCy1?#hkNO=^qZ#1s9^=8o71~H=`F_%nBqQ+Q
z#`XIMOt4~1%C|{tW7CQ8XOu&#SloQjF;0<*6?Z7G_tL^ccW<kd=SoQbz0q@(EEC@4
zbIZz^nh<h4dLXn>9uZvU?l<!?QIV}Nr(C0fvjr=&4)MvNZ%=z|${=uFdT9H_kLqx;
zuBg8r#m?u!lysA7;2}?FcRhO^%4XZYwlXE*C(skPCl25`+PL%4KQ;W2%)VRbNI;Bc
zuj2=2;Ctk?Ry_$de9I`!jiriXbG!7giZC#xChK`XQx$ra7Q4fDh~TDJ;S;ZT26*I+
z`Fo<3p-}DNFD5F4`;|vV3a4$6jh?NN&5C%`x1vwpTmbEsY0I`dY!R3zaenU#1w0Ab
zW@XUHhYgg?9Ab4gn2fQ?=q+LE#pk+G$1YwR%!)pnrD+4Pto-#itYl%9#%mF4!i)9c
z->X#Ot>H{IPFXcdf{c}%+o3)lG_Rbh%o}CTRmGO<3)RwWUd&J0+r@*pJ9kui-K_AX
z*J<?qbty1~)I;tI@?y5*AoWDGCFHp*P7@wTBFT15WYs}lTu(8bn$fnzK`V(}?O%wn
z+d?KUiSl7@o0no)h6U6YWu*?O6Y=|a{g^}t9}=G?b_@tuV7^#AU*ik`VmqH2X4mjz
zrRg!J!4u}l-#pI!my-bU(d*sxW&!v&`#2BGn!!EW%HYo>3G~E}{dX@4;)4CLX|XUf
z{FE7qlyQ^*fATZ=a3^8d^`Cu|HfM^(ib(4t1PO3kIfxv3D1uLy*LCKfG6iva(zlJ@
z*gicq(z47DLzHKHsE>##1pCIcSuNt2TCkXL9umjZ_Q$?rm+5$Ns%dlMpg2}7CH6&i
zNwDKPsr3_;j?<5OFJ6|CfZfl)-!iWWunlW35^SL%y!x!sc_#@R8SWV+y&<yady9N;
zFbzd%>wdJQOTfsorNH^CBy6J_HE&7N5Ziwsa>b+smQFviz04<#c*oGWw{<3nA@VpL
z-TnVLi{qPTkRUR=J*oVN2?qCjZMi){fMO7bv-<@Z$Q3TxzMz<3CTA?;{TU*JK51{g
zIwp&kOTk+&O;K^8b_B9CNtiYkf4t)-4=JssC$+UySa$hZ7tBbaxO>#wY(@d23)P#4
z)2P_xY8G|3SqfsUfnk+7O6a=(HM~8PiVmX*+cS@)5uLcXe&1FVJYj6>bn~F%QLOG2
z_a`K1+0YM5XQ<+DvhbAqdMe)DbeVQ*mBG&|54!cvsbP<#^FlAXt|n?iIJY1Ry-h`B
z9}~!MeU|6Kxr2(EE|x{#t>mG~J2|ACt`5EXi66d2P$A-M7%Y{dfVkg8t{cS~Y>qK-
zt}LNqz0x=8iFrkgg#F4t_*4_+BJZ@T2H4-d_u!O%m@=Xx>&53jXdyO+t5}t80`2i;
zhY#$Wmhd(8F7LE9=KP+Th-8_-?$fUhp>|b#+a6$FBC3nu%C(D;1RCn^<&^f8sv$(#
zp-5R-535G+Yue<~AZFSgcO#k%M}<ZGAys|UG#wp$YDWjXZ~rY%FLg8oT#R@qZUE~T
zPEMXhI%eHBt_-%-Kw@-6W=_8WUT~)MMK_w_H^&~;F*!}_;|z8)xVQqnTIv^;Zn6XD
zP7Q~nW14t#Jtw14(GaZr{Kx&Tnj`85bHJfW3mjLQu5%tVM7!U3z=t9W*q$Z@(Id2>
z&NSaKmu!gH?yT0JdzOe5d66=sp#!&YL;blBLlEsWt9@TtVa>#tug()4JW#SA{1G!m
zvOu<yUXL}N2<jX?N7IGHj{4TQy(=L6v+nkV-!@p=wCjR-vMw$zabK-EX@F$S>OO%<
zTih%8`{v_oUBn2rnwD+RM^Dhddote{Xj$s7?d#EnqUl>Bfhk>x8V+@?`wz(RE;4!2
ztP2sh4ads7bYQoA(n#eg@P<zL^8KPN$}Xnui!5dP;ZN3NzaSIepPY=8FxN%qpS0nw
zP7Q27e}~`5o(XEI$4cRcIvAEg!u4q~=2a^KT=y~YP}wo+0Z|7ZTe-FFlGIS{uX6xR
zK(fDZ=Se2Um33BhZqx?#;O0L*vC8miJE2U7VnR4H<-+GME#xNo|MyT-0ry=+A6JGl
z@ib#k!J~LhY+mMCddZ&OlHO~V#N3#8A^DXQb6x{Yyz{GXe3rs;%L$^mHWRCY-p_cR
zQHPicHB-fch$rW-ZtNHXW-6;F<Oni$X&!yw)FBS1X@j^BHm8i$4@Y<es$pDvz9g?l
z7{uv!r+U~tva41$RfL_xdMi&CbX*X?ymt;|P#)Nq)_r~VGi9{Juh$Luz>A+7U2hnr
zGf+42w`6y#A_VUbUC626MgetGb>gTkg#D<utN*h3J;O9YK%5IbF8Kip_O>{@=x}S=
zQVvokLf7y1a^O<M`Q+>@8^}l){>;vm!HYhs*<%t13Jo|WL&mJ(^8W4>H)Rr@96QI^
zyKb4GDL4G$?ka1nE86oP&oe2E7lj`76<B60=`rk9T(N?i5o2I1MiOE|qvzJHUS@=R
zQlOkzw8V$lg^n(NBGz<}maqO@W_<oRv>?6R5;0xn#?t!<xbGOIS{TEDCZ=rvs#*(Z
z?TQ+xPLn``Ntr=_87FAh145j&EMT6cq~LK&9MAM&Su4f`JF1_ZYl=Bq%;^(rgT(MP
z;m)l<K5n?FYX?NIIf8Hh-?n?cqHvk-KE6?b2fH)&Wq&?shIaGhN7Kn75G$3qv2rah
z^ye)0q>Y%unA*iWHztgX(WqmS>3pc4|MK#_pDCjJIVGh}2qW3!f>Y~Xew<FNRNFR8
z#}ED@@x7M9xY1^kI(ASHJ7=xF<pj~O^3y4qOtLU8ysvbg5fsK-m*!u&e`#pydHiyY
zCXCsm`8Rl~MDUg8*te*&G-y8<d2Spc42A1iBZYBdxDx;9zc6_kEIc30YIg`jM<{XH
z!%_mPZ(d+j+%v(oC?0tkcAn_o_L%P;2pBFJ8V_+bK~h>`-6>H~Ow?KiU)V~7!cFI)
z#ThE-nR^(<1EQE*j{0VDS`xv>i&xydN(JAN6y3B>3?Z$i^2_Z1*_GX`-0w<-vtNkl
z0WJvy%e5A)Cz0@ntnNS(rXu}asZD>W1cC_f;!j4geP_SjjyH`Itg++yvEG}2kUhhj
z`*`Hg+Pmq<l~fASTYU!fjEGoHjIX(NRUSp-<*N3(D0n)!WV=L=#GBgJr+c?5g7e|Z
zj3^rlsxEH0zgb8Mt=zL!F8a!Nou^oBL#Ducsi&+#RvP|8Ee9(_RPnQEsU?C)fo0(Q
z!7dvTwoYtIzCuugB9nG(lQ;#hpHae>B4m(TQtn66Amf<7r;w051qW)Wvlp6W@$=#D
znvj+1I1(ddK50Thmx!duHFJ5qyga-;IamYV6_2Y$@1&r$@?NG!l>&@6{jq*gsENdr
zL&erP6dbAv<~y-T2`)RI7d`r_g<Zn(q4!28Fkjl)`hZ&nH-dfFG08g6dfM~u&_*i$
zh<TjLVefTb=EZZKzPd>C|C>GEOht~<p*YX=YIqagxt^;)4=e7v&ZhX7!1+%2+60hc
zabB=n<DEW;1tCs05;R1oCht)+SBJX)cm0AH1BkOe$0fa|A<x`lD3Ypy_8{h@`@a>4
zjVShxuB4++;q$pT15IT9ZrSS8Z-^7Ti@c5%rs%oQt#*p6h2tBR4*kqA!i&q#b=B+5
z(DM9zwv2=}76+8;8REt$E8F2lA2x^o{8g{0acvy-t$+T}*ckWrrbz@TSwdg(t>}ds
z9hf`LJLMZ1Blq>Ggzz0!@ZixX>o}x~IpWTCS6*WX`tv^haMc>>Txn7hqI&rEpS8{W
zZX?8I$u~;&+aRWHRPSw!9vl=;hern+qGgA%t)LtOm6OJtKRWe5=9cC&Wb@Im?!LeZ
zC7@*4)Vp9_4{i|y2DKUb`0c*hSn?|1r;r&CH>ro`T0*4Em%6z7xcs$@B%2pz#^+*d
z^zdPRnn8Z4jjT3h&i)W4zNHR67v8Ri+&Meli6Tw>NBj_UtdfaWwr`*PWBZh1Lxc8}
zP<4!L-0D3v%)~9#e&GrkUDO<S&7E(f25q0y(MDW$xU9T=<#ih!G^@S~cQ95)XS0E@
zBd;B{ZU215%|RPeFLHEGD$2w4M9k4&lS~}Z_ndl6)56)~Nu_0*NN@|?pybuc#9(%U
zqaK@w&9n0rvxkUCf1`iN_A(RC%P0AN^sD39kKH~A)#7kBORUEZCPcP9jT*f}#%%xA
z`r>dQbpN+mPlA14uXVZcw~nbn{mHSEZ=8IHKPD)w`3(5f^~!y2tt!^M;tDI?zy)zV
zwIk*Jz^3AFW-X4&sMdSYTzTyu!!Cyslp@CV>zeL_OOlG{Z=;u${hMQmvm{;?`!F!T
zTDWq0UJk+*+eLDZ&oFkn%B}P&v4wP(wU;-SEWTTYF?^OL84AC1)>;0v!6H*Z`{fD}
z_R3YNaP632Sk>+$78u#!7PtNevlCKC5e;*ki1@=uDjLnZ8fJ}B-KkH`Q$*;u$q>KM
z|1f;dTsS*fXNA4xWif+E1bnu=RI7624})XN!fI)v6~aZH>TYn6054DD?}zFWj4eDp
zKep_)giBkIK*L@!bgegkuw8$Wu{9^Aa;Vw@eFBmF9*0FBU)8*589BwsExEM$tE>g2
z^SCxi)(gR&`7-O8$PB~Lc09x>!W?GmTC@J^1@W<jSMtN#zl=(0`(&*iGZainJ$fZ6
zfdA@TbYg1f7*4zO)`qM$gZFg*`Vw(|6i+L3=5;MFVw+j+Y7b075cqDJXUhj=ze6v0
ziT@bGdyhOa(Kdy+;N5@GmwEA=JC#qxoCCHdeh!6f?nw4|>%UKz7ncfSKIDXRf_^-_
zJ6M(ujdKcS)xA8J;vRV*(!_;F%od}pOd1-zx7rxi@PJ{TB9&mw1OJPc^K=zxSby+8
z!}dBJ=st-4l2^tH^^*2ZgF+L$-1&4H@fQy`f7L9STk%8crc?3*BNJFm?;5Kx=Y{Xo
z)ZN?x0erh{9sGqwg}&~BdRr+k>{dS~dt4WS_JM?t4O^%fojnoVXU>P^NK%RYc@ZS;
zf2ErBhl0U0>w;S&d`Q1zYPK&~3|SwOtInlRpyhencO#3<d&ljc#BG<ro}YsaUrZ^8
z*w)cx_DBGA+AWOE7y@dH-#q%<XN<@rGkav(1i^Q{{8WD(5dxmUJHMwIgTLS#ev1hs
zflR4Ml9ht@Ni&5#PR0m8k=9bE2qv_SEj*5uMw*A|zCHnC)PBzts9O-l(}bZhJE9Dh
z_CF5nyKDqPy^!i3cCI)y!4bmoL>7Z>{dI|!Mp&?VLo;oVfMn^tb9YY3!`a($Mc@xZ
z_%I$G%w_YQfKEm9H$O#i)5trv-!w!<pxa6F??lMYRi*w2QAVBK4ZVajhDg7BDp^iW
z3LAWt8$8ylqPDtZC^*az3pHnk9rj40{pi)mkB8MD%YPu_eT*S^Hi!Sc*-XNz=8NGi
zx5?1N1LfgzL$s282qYI-D2C_A7tX4q?QE;P!m=R@;(BF-f6HONd*^C{|G&4;W}e#|
zG=gDq%GsJy1+>i?NS=ADg-UY`=3RCllC!=9|2nRO&K-Ix-}QB{Q6{`_FxVI$%mP<D
z3{=727JZ{b#kxodw8-51+Ze*zm1C=)u(_^wELTZQAJ!srZ#TqKU}i(v?$W4+&F<dw
zewPgJesJ%;XeJdWm)53Q^^-B@m@n?mZHUDP{^?j*6KrU#I5*Fwfy>+*4|{Djf_r&X
zovSzvWc|EXYqc~X)4KPN?J8qPJh(oztVzdETA;eBqZUHeG&GdIHpc0>mjlV3rdTLG
zvNL^;Hk8jSbWa;m;F$P~qxhB?u9R1~&xY%OvuOJ8t^*WAm)SX4vG+Rn>%7%)gf3dn
z=lm;4pkPCZidg(bOSIS#)*ka=>%S*IX~RJZ0*fMO6H3;=*V`lU`uf<gJ4Rxc4h5q;
z%J#<BY_MLW=%ZkZJ_;5d1k98gL%R2Tb-6ABhqLQ^j;%Dn{{R30|Njh^cR1C56vuI`
zjO>~1n%CuCdw-8hgGwS~WJFT7w3L>jWQ53;LUwjPQTG$kFp`yIg^27;=;yEVJm)!o
zob{aZel0R`0_B$qm^8lYOgIdXBb6QQ6s81yy;hs|1(YFfGRm-W5kP65g8TD0C8#UE
z-^aN`fKwLc8|?RtU~pXWF_VW9oOVrj;&`9{>cYxImmMRRYtm4+qEUhe+h52ov$Ejq
za4+e(0|k2eoqu|{5n%tP$E7_wc=$7Io@Ja$fpbR&gmmK-fyMt8pUWLdaC6@ZAiSYK
z^5(=*_XGu4^k^Eq_F5EHBlVW^>M8Iz!AfG%Umk=9n?+S>1YwO5VMZ*Wz>5smv$;e$
zI3#%L4WB447#mtOuic@5Fk@KNk4_oD+kQTWU*do!?(fH5n^3^<Yfx#G7arzP_RxMR
zXNJW5GfXCHM&NdXZtwJ#6f~av^NDhk4)(q+XVcFx0+~vd&zGYm!6xJ6OmOxlR(T*z
zZ(iSMH*W!MH(3d=jGzjuYcFC$y50A*djKLAovlyDi$Zk92N|Ns1oqs=Ymc`#044P;
zUDdiU=wCN%4Qu<3$)Le!ZnOYv)-P>K?+AkN=D?5oj7H4QUgk3k5rZTb3#K3qei+{8
zX~z^5jCpIhH|E<J!ep6_WEc-GEDCTaXC?ec{k<}x!xCWtq)NU}E-`LMa&-5Zly0B~
zJ+kZMq3Xl7^{sroH78_m-dnd_d{3SDNY8R?Ll2a%EJybFv4f;bC$mvgJ+<iZANPOS
zdXN$L^ke@677%QX<?d&xrTPSvJkh?P3+F|}e>g8QL23-s$%R)hsP+4CUuHk*fTEUc
zU|RtLOuZsFcdMjg7Sk22bV54tdYSzuIS&WHnKbDM>$O-0wIj*QR~wG~W|;7ppoP+*
z>d2@|pD<bV7{4bUwcu?Yd^qAp1B*M~=D9y~U?O&vuWID9pxntlypgzr9a-moX3G2>
z`)kVT6Z%jSj;wpUYTW#bt#1BQ<MAEBm`954eOl6hM+sV|a`BtkBlpZ#2iHb0qiLn*
z?k*Y-$+>4k`uRF0Mo>D|LK(*zKk{3WzpBII=dJv&eb=yD)^XMT<Voy2%rkNxP=_}f
zNxuqitzuJ~rsg?2)7br`x{a~7YEVFwwV~}?!IrC^`UL9EW1l9EuRhUJ1D@6<^%$2G
zY!$O*Zl_tqgii93c<WSQUfb!yZ~O{&J!<3jrS2sxea1uT5U2wEpC6fyA}iQtw|Mhd
z?FuGo5E?4;kqqBh!E(-c1tZcFYyW$-hT(6WIGSZehGWe$susyBm~-A6X~wn<jHwz8
zR*aCq?GP=0r|>G~{*ZIv5#1JcDB_fs-9-|d-Afzc`C%2~{qC+GX}^OdHa|NS%Sr;u
zT#ML~j5UmEw!@R*LjzoQ4JF>0sX&gB)#Hm#*D+0IVI<y23)xJ4-B0f+L(u*QdvjYi
zuynTV#m|~J@Maa)8vZ~8Oex;cQtmG%IkDu`*+>sd#+&#;E+X*V<+M_GxrGVZfBlku
zkr7<tvSbY0lz_Y5Lh01m9c;kSi8^k|3~a%RJY#hP@KpGD?zjRC;8X@)-#WkoDQ{0$
z<HQNDCi!ebP?r{B)Z+Zo{n+4}Q%0dcgd&h6R~kmn(!r}r|K*}jdm*RdWNqz^0(5f)
z*|t^U04&&w%ZoT+UE9XBI79)Q=o6nBNHc&6QPORgiyK_G9hW<q6adwDeebGbgda~6
z*|rjSAosB3qk|dpAgCLUuKF=UO#<#*ogp8jZ7kijqsYSv{_9!Ctyq94<-dQ5RRFeE
z|I%ix$bso<S;8B4Hh687xnV^s1jl|R(680VK`wbz@5GC}psR?TsFmCYn+<P6pT^2T
zM5E5CR}3d;wa(ep`H8~EpO;GvZpwlB??Iu*6I@{G>(Wv%BMyi9zK@LGlY`mz{&0RL
z9<c3`)hIWYgnl*jS}R`;#>aBm2bOtZi9R8K1xbNf^M;h;j2wJAu~1i0%n#<j+@hDw
z@F3~qIwEW<530*qv?>vTAZ&2p{I^*dNWE>P_2Z8`l)9&GJa{M!HEKJcQXmI?9ls5q
zl_`MRZ^?pd<svXKbpGJMU<KIEr(K16sR*iV2fAthiGh3b;nLss1StCT#h&I50mkIt
zS#bU*0USe09kd6C@cJm?YxX9>Mg7#+W?Ctr{7#lStfm6>90eRcdMa?jct*C-UK+ZQ
z$n3^L5=5f8_@^Z#xGg$K&xi0(T^m=VdVvh>oV{L8|Byk?;%|B(Q5FKmZmbC&RE2;4
zU5@0mQG<t*$)$=Ja=^%eGVnX9@Ok9m-)A%GyK#(1n^_bfNX1n4LzEf}c_$2hd8rAD
zZ3$=Wy%fP|HS+NClo|}GJvwFfL>p?^Ds^qD3BX-6a&eYL9Xz@}bta_hLfYBia+*Jt
zfSUgH^YJk?5NR}H=r7fW3uhL;j|>wbX7ytFL4P%Psxh}C^U)Cagq!y}6(|G!)ycH~
z3RS^i%=8SiCxE$Nl6LHF{oEXJE+$E2po5iQS_dPTb`+>l2vPxo#q40DPXb})9L8U2
z6i93!XL@_6K=zVsiHI2y+~j<&R7_Feb6cpycP1714^Q{fr(OZxY(8;yylM<TzZ!Dh
zwo`^KV`rUaCRyk^-ydh!Zwv$J+m7@uL{KNZuV6Ehf*j3Z;RS9Ju;~-mR*_Z$7t;jJ
zOERJ`*Jd}xBW?o2JdU>y7c0W_<AA2mTKupT{7Pt?-ULhwB%e`s`<bqGQj^lo0cDMQ
zvpGH+L#OQWXxRZd2xtr==H=7F>l<uYe}jy{|I)lMr=JYm&x#wEC#_=ms4;1IHe)av
z6&BcvmIj*Ja_vKNz1U1v#e?(&3RoTu`Bhsg2`*nhqL`LGDs4@=Zz4Yhs#kT>CTheX
zTdbiZad@5@zTV7Z6K@3D>=(zmHAEonw&n_b);cwc_S%#*hY?t%!}pT|f)KU%RVLxs
z4pm4z__#|XfU1WIHebUB3*K)fEu?8ttYIeU1sg#7vil{|FWeBU8~E1ShYpQaIBw5M
zVo)S*!hA!V6R6DhjX?>ABKDXYRj3&P!O6=x)S4COUB?wTZsSn!{BJwDV+PP0TpW`;
z#0W2*s3t4i$03uK?y6re=)*z<3-je(I{4#dM^doEp=8!DtJW+%XtnQizIkB>JM~Ae
z#hD3*f?kCNUGLR}SBE94`PbL5`mUIM$7gg1i>4%73h07n<q^9)<wb03b7beTCLL;W
zwnXTZ4iuDsAJt%=!d`;-Ih$5mbR93aV^F9KoL-)FNrS@}Qt<LQ<4cR$nG;iv{L_M0
zMMAD$T)$!$418}N6sJX=aZfH@x6^{OfIVlYkK|(HtsQB#F&g9;SpLGRMiW?W`A(Nc
zy{9U2DT|sQ8uarqH*b@eCS3n1Q+9@_hguX-O+-~RDCL{?Ig<w(p!pz$pWbGen!KYP
zZqY=8uGpAN6s)Vmfg7*615|%eY5fAOke6ss`1mogkKXD~dA-V0@#Q47M)O*UodGSX
zm@#g>@JkKEFsX0J!!y)n(zoL&Ikc$GK7Bgsv>N#PWEj*>&r|0=JdmwXqC;$RQH$H7
zs<6YX=bYTVNM*PEUVg8W4!!#BYgv9y70wA=``%i<Oyvm8K01|xLl$Ctw4W}KVcJ}Y
z>(j$kYB85a=SC<!q7ix%(r}v$!G{n0yK;7&N;O!?*o<L7sv9@@#dyi^3~r`-9NDDq
z`)+3HhZxaKA#>}x0upe0?=NhIE$X6aU4*CrGomysbrtU?K}$?^_zSZgDywxzI8Wjp
zG<YsVUgWb1#Bw%Xn$)5}$3BV|7GkVOIeyk3$E^ah!oF&I9B9$Aybzukes)ARmK7M_
zrVIsZ_IdHKbm(MMWpK492io5wE<5~|2q7(TPyGgQ=xbwSzIqWSde>T>Jb@>|8BW9I
zM<xu2u7qkU`il!~D)aqENmPR1H2Hw-CPsAI!=UiC9uG==5%;5uM+q9nwMIKUnGuJC
z4v%*kFG{;TYgn2=fCrKtc87>8NL9GFYx@vCy277pC#p>VYFzr*O93{N75<~lon8<%
z6o(L>|5Svi3c{Zt!d`Sm<ip*TUqZ<B?4J<MbVXqQ`m%*plN03;=L-(c?L#5fVO{sU
z6`^M%SvAg=3nhI{8v7_EhUR&2e77tW!P4Qj70)|vR6Gu0(;$H!%EqXT9#;fs`;)iL
zRCo~wclY^EVUj33q{oroch}#v!ujJhAL@NwbC@tHh4Q5@+$k?m1Xr6jTEjB}XzIW#
z!S~j9bggl$L6409?a`FYd=(+2!EmY|Z9oQ*I7ec9o)F+@v24<^@IG|UuO<2C6*)9Y
zP)&<Gt^~HF&UkM*Q8Y3Tvi<_Efd0lF{|i6_hqdm7yc6PRr)FKVuwN0?-1M&tIHwFM
zKk9i4+a-|WGnNBPsY=L~iPFZ>sREobpN?E*kU}z}eixQ)l~EmIVYAgc5?HwoRWu%u
zM&6{o{Y~^F^zcY*PV`$c$XMB`ypF}A(Fp0Sp06bI^2tq_g%MSdw+Y_7J+ey=%hyde
zACl35w!$`f6?Iss453q2mqU4_Q>JtTRixMAB;ox`1AYZ?N9Ej-NBF^?N_%ou(WBP(
z7khNIAheG0PytdvCu3qiPAsXS+)JMu=oYkLxHiOi?T;eDeGUm3U{ymjXYQ}mQ+1)_
zKhcx7HwXw-iZr{8tD@IxML}$7`e5SpDx!Z#3Ee%!2K#QPqD<Xu0_3ZP;E10XeV;%?
z*XcY@m$#GAvB8BdD?EVgyHbmKZe{dK3L~cvkr1o@o%=Vp0fK%$EB|&(8FfBASv=~Z
zg4n~i=A)1iunjp=<PIsLbcsVRVw07SbK=?jW)BJsZ4zjMHi*b6kZ7q8s(>g(j+b$N
zDDeLDM|9quh(@2s?x)w6MarUAxi(CVp}m{rniHvn_$<LwWNdd&{4XELzGDo8EcGWI
zR|v>sHrd`lT^t!_hrf_cG=>a6)pkLWB4TEyys2LhMAb^pG(O?RyQAMW&weA15(5J2
zH3&TD*+Q*uyS*`(bm=Kn5#*4jZ{IoAEmkBdz>D|bGX_qE58s*Z$sncf!MP(Vbcm+^
z)9<@=6c|3P_pQ5A8d-=dI-w`4RPt-Ro+H*2Fdk2nIVmZH{HuFA3j0Q>+;t!LY{!hC
z(rol(*hLBC;uu!(B=!*|Zi$Nz_c4NOA&Y;##iA%tuy^K(_b_Hc<}%n`0tkKM0!I^s
zQE|d>^giEdEI%}=RWKO9@?lE+uRH<tBkxU-Rm>vhp~Xs#-Q`eA8v3g_GrXusV36xc
z_zHH*?@|z60D~v44_&=IxKW?d(L1xJ*DxK%1Y$nf5KO#P<1BbNQESC}g7v9&%z^pH
zWQdgk5Sa2r7G_w{sAI3|O2Ild@P;h1dR-s>(6TV}3o)bY=)n$|E9=;|_&!OV5<OTH
zYeQ`>=+XPR0rB3+HB2z|hS;-lUAX$rca1%c7AZ=ny*wzkh9yUF@3EBCg@dJGM+~#K
zsgrR>_cjq%G4^UjwFYk;C{F)(O|O2PI$XQ`EsC&$Z9Q%&i>=WHW5I~KTYk$_3vur0
zDA{E!t?j_H1DiJV#2@wv&77y=l2rQeic6SF-ahvxcP$99df(z3HbpgNmd*KSxQMam
z{fP~!*Mt|R1g>eMjZyDITyFCD1?;KIg`1i(nh<l-tn2lcL25)>;lJUsd942uOG-(k
z2E5XZcbCrTrdHR^&R-Ll$C{=Gc?);{AkByDI};+!RPmKhU0%9#7z2w0|GK9-d^5?3
z8;P%>`bRD2%if>GR(O57&km>ojn*$an^X;|+O&d-n9wZdKpL+9YOMz4BK;zo@2WBP
zhM!@{Gc(wyoze!b4prc73i)}oyb%k!m*9AZVHUFxj*MWkR0Yo@sfgENU$A)^V?wUW
zEOt!Fi#@TM3?{XdXIWF77{9PZ;MC46rm?9Z_}q~U^R|BF?lisFbQ#6*((oK+z^Jmx
zKS6@g8QN2#V?VHjGHcw_oq6nrbM@i=AQBY3jP{CtF@z~CUCL$9Ucf@%?tB_zAi+K+
zL*9GEKe3ms_j(;T7cup2hbRek6+mUwlJ8-o*oSM{&g|?<ScJil)tl4G5VP{4Y{26e
zR`A7>AyH)+^B`ETU4KG^svzzs<|igF-GkGkomW>d{Z#YdgB?mBrmFL*z<LrJ7m2ai
zJG+Vvxvcnd?EW>u2RS>31O8x7=-<z5MXzHC@i(15*%6>nWYYh3@eC&P!6U8Bc@qnK
zWGxwxs|Z5@6&+U0^VoV4^Kr8K7REW4JHBT_0l1D|)Ou>MfQ5?>2-`p1!TNt>xnv$!
z07DbkIr@r4j8bd95*A4Vwl+7_50=V9;836^i`p`F+Qr~<_arUQ9c8GM;*$rpOu5HC
zUAz2#onKeT3kQE<CL~;M$-zNI`)S40HO!*&YivFb1MGbpw_&s>3#XekJsv#Vz%ICq
zJkyzAgfXF;_JUrrAbIG!g-pR;%rcXFd|;9pI)BI{oBxr4;C<~JfB$Y{Vpscf*d<sY
zZG!9b`3o|zShe^;+n5I4-Vs(Wie?83Up$_dUIzNlx{8&*poN2XR=w_sazdKe2S1?<
zJiJNN<w#V<!7MK2l1Bm;R2^9@zCyu+)=|DTs~_}W9Mf`^LzM?2xw&LL7o{QF|196r
zGDZ*{I?MFmDlhaiFtfP6l-{-87cNyX!&K|61RCcDj{D35glp1pkzd_O@DB^jdW-+e
zU=RYj@(XWgZKa_a7b~;JmK`2-Dtors?1L`<u^fX#yPWXVA%<ax1AgEBYgaNL3T<ky
zE-M|AhMwr)55a+4;IwDWy4YL-6!b09PWwxP2aOK97c&pYWZW&*X_18dDY-K$rP3g(
z+IH+n126FLos0GKl!p1=*<0y6c#y_EhXv>GgGB1KPpq^IRJAUA4SR|Q{;wI{d}V^L
z`J?}?*0wB|(1f2%JtYHOuj_+)CWIj?d#&yDk~|D7d*3{3DGO`7x_kS~MB!ga%jY#5
z0W=Ukh!QRb6X)J2+V_b=N~~RZk3111MTdy83<|K=u6eM?OcJV|JKb%yR{`(BXmPi0
zMM!A;XOUJX1)8>9mrFj7U<$X;E=@}W;d>!AIe>?%Z_!?d`^ixFD{HFakqW$fck7pI
zrwo)X!N}=deL#vR@`3$iNUPd^cEeW=y3ezz5Wc8^MZ0{>?{!tMQLoU~W>)}iA5$y-
zM0M!QoUhFsQHRL|MFoi*MJPEsXJV?L0Uh5PsSkEE;a_IaOHL&v_;2Bm@`Ydx@MiLI
z7&6fTc3xgflt2U`%>y#qbq&xH6plTUuLqq(t;Dh}Wx!t+HlC5vfE(d9!nXSi!7KY^
z(_EhlP;ML*=iR+`UzU<wHz)wFz=0<GC<)k;Ma&PFslj4Q0dB(62nv0^S>@j)LAsd{
zf&7IGk8kNL`Cp&_uEESMD4GP@(d1+KI1+pj<!QKYYYZPlE3yMUclEfaXyx-20*EZ-
z>pQZUK>pD*%`4m_*eq)i^GT8ew{6ZThe#9HTlfBqkEjaly{vuNUP>DD6d59$x=rBI
zU(*u71|qP{`IQRa7lkW_dgaomOhBRJPzq5>3DN^NRBoB`L5OAEZ<clwpilGttZ%9a
zX?zov^d+p&T$J+0C&~nBjnkDT4$6b)yt)0d>^9~w%v-8YFaebJmRLfRg)1{9|FuW_
zz?xLj^61Nr;a!1R;1)9;4m2h|)0!Bko{9>q$WkzdJ?U9JSH>kFK|S&7H2)^`*7ZZ#
z4M`NRzoi{&mL(1rT()m)E9g*mRO#aydI}_;ew2SBb04(l{p4<#Vnj}bY(_x=Mv!HB
z^-ON30O%A6w)~jcgBonTGYfwL2$<aLAKcFi^h_rwdskV}pU?Uee6|4p<gCnkHaWps
zxtCc$j~#iaNCxcB!Qf=^<=D@^S)rO`(K~699VJc*ZoB0hLduS#jF~$lY~a3RJW$+=
zg2#%J?!GpFQ;&=$7TjndEThKFS9~v0c35gq?A3>tIqzQx)Nf$1ZyZBkj<O@&$7v~v
zw7a~l))C^6yMP6n$9=bnVn;Ni{998RdN6rxxWTVs49nfH>g*-5qZNDEp#wp>u>4hL
z>M_k1Y?HsX_FD%Vite7=?yA*+y1zRzUrAJI2HDxSCyWhAh*u|fvFd<w<h$~Um;Ka)
zuRrFykF%kZ*H1>KyJ<t_-(SUkbrV!491b_2!-fRwFIs2SYXL=a=lLs<d1^&%YW{g+
zHY7Hicj~;n7SuZ=TvFIrqW=8im)9M@hMdbEnWa3|gmD?KR@u92)Z@m<nyDYykUFk(
zb%Ie7WQeY&Vy&B0{mezJ%meIbqld;z^ri-+jDL_iIkHW44+s}_nP*4Re&yW!+v;#<
zRy_2!Ck?uF*;7lRX)n4sMLzWAmO5-)!8<(fphc6ynHG$nIFS07k{LUTI+PxyBM>!k
zh#}ho_J!>7R-RJ&-efg+-<WS}o<NVzR;Abk61h-ea%Jx~q8dmwl|=Wf?Q$ZmLmp|B
z3so5|{D}If3LN{WIEpJ1`hL<ZiL;j*;pO_=-FG>fd0>UUv6~rPeYC1P+{uGH4_eV@
za;k!ZOw2tSI~Js4H*@^f6fcUcDmxdq%P)FK#}C!au_BTM*NdMb{HUMf&cB=sWKeqN
zV-uRjj+k77wsyP((0wNE4r>w_zWx;Pk#^%iZ_{(<x_SlCwVK!}^%WAFA#2hFKIcT9
zHva|KxC<kxB&qb-dJ;HyUZ}sA!-aYWY4T2Sh#-Ue``HhtkO1?(m?Toejm$F(qm%kX
zQAoaggvxaiNZOHwz6|jolsHl7-z1J+pGoh^I!6L>hY0U?VLl|+G#PPeQUVpM7*&6A
zBf<KnsDY~&KRW#UDD#JZlITz24#T1s2?VvQyH9lpAoJ_bJ0HnNqu=VZ0rx{mU?R}@
z=bnWSN^hnHeze1*<6dHc`-(_VXF=CvI4+DT>v|?TQe;rSoMo-`u8#8XYJGe!UIeYT
zWJI4Cmqnjj_bIPxk|8}whOx_53}GLqU%BbXqtwL6Qw?ck@Ul9=Kr1AH&R_5ltBX-U
z9+yIIUlmq`j0dk%xHu(ITkgfSLt~2Q+E#aSS(z#vFgzhr#vz3)g6qFjk(AILhp9vL
zZfelfvCTBgCyf^09b*mhA)?B7)8z!RI=s45y=*9fN9~FWhpDm3X#B5gSjfKJ{S*^f
z2_nd#+*EaOYP<@%TWaumQ$iCG!h{(r)nrkIatry4ItgtjU1p8|Ex2IZ9}~38p{Yl!
zW+(5EkjY#Mx8G%LxT}<D5-Tr{zF0U})0UFZBUi^qQSWrX%wba6okany$tb_CsU{)H
z!!yO!LV6%`BD`+7Qvp4hh#6#!Cn0gu?X0%T`cNA!JD_!Qw@ya-By$Q0eRqrBZt60C
zdpPP7Cq@DyHC@Z3gsY&^r0M6%au{5xibz#)Cm=4{M?Duw%4lnlkGn;6_rBTIOSwHJ
zAV-{kmvFcey7?)*(5nFe3324D#S>6P$JKVXL`9Th6*y#VWCSDn-!_6=3Fr#Oa8A`n
z9y$EW<0j=BLGiK3TfEzfDDYk;6NjiQdN8M}kiBjM7iF6AK6)ymlJPUwzWpbS%zo!d
z-&3YQC_8(XWS#=Dc+2l+WhIH`e|8jgnNc914bR4l<k7U;eBrylqUip256c2`3RHEk
zk7QTNp<Dg+xTa_!WNXY%q0`@u7k(e}FisYkjreYgUFJjn+4!#Od=z*bBFoukFN02h
zlr1o7<U*OJDkwsOMsQ0bdCi?4k4!(wD<(6rqhIUcEz3zpAR)m-nrW6otD|3*d_0(t
z+QX`0UQ;7T7cyAzx-E(JJ1k#*l~0H0t{q0$0>Bvm#1UD22_&M-U{!H{o2sqFAvhKf
zP??8+&QB|bR7LrX5)ZFYnG*Wu+0_8Jv1C`r?0v{5*5+Ms&>}S|5i@Cdih))7Kc<wk
zLa6Rx0?qTX8LGF7uY6#iA;h^c8N4$WK-<RqPdB9grlygvR^a#y;VDotcSk-nf5Gj~
zW9wg32KmHuv&Rj9!|u@5cq|Wk)FtCq7(Yr~pjC|`$LWJ+N>Xjv92a`*6Ighadz5<6
zZ-4Bi9zC$cT{J&^krRo~h^W#%8KufmE}W4S*Mo}{_=8Kvdy(yw^48Ss7<EYWvdlGa
zUC5h{QQY&J6)`n2E6C4}Q%NSDHKX6^z^$!-#v7e`(7?P3{h2G1)cyPL1UEh%Slrur
z^DG@RiY$_@F!i3Me*Bj=GUu-i6NmZypZhZ+u1F4CMfDu@-Kb)q)K@J?sIp395@tYF
zz1g8F&ljlASdSe3rJ)6hY{TzEHgPD`nvU*L#1i%Sufu#&nVK*wyYNk9FAgClu3Wo^
zE7XFNjkpFjO_;m>LP_s99m3;EZgys`QAKp-hN^F9z#E>G_-lw3HB_GO3-8&W{to~E
z|Njh^c{J2-6vplQZme0xKE@1YhOwJFmXd6hM2nKGkP=EODcMC@h!QD^gd$sgUzJp(
zU$RCaS+Zu|`T6&r`<`>pz3+LR&(md<VLmpi2gK%+^fp&kRH~aZu}f(cGq{(Kv-gA^
zEb11@-j`xU=o@WZI(i*5d#)rkHBN(4&l$0+%Pc6=jI!G?iUsxQv&oj7q`@zCV%ePy
z7Bq>gnSI&LigrZ0F6S;#;X&)`KU>vUQTh6?bBifEGXG57ULQ$?9W!$W5BRa7CI3GQ
zLa#W`VgKV^1TiYy^zg}8`?C37;_esT?OZ7MbD>JtBMQh`ExF}8vZ1(+`SrXxZX~Ne
z_iV|G0zX=AkLygbq1441O>V@C0_J5dJ^rB!2H6jzs|wlCj;|NvE)?)1zWP0xf){k*
zfkt1%n-~sc5ceeUMztWi@coszkFqY<cF>+|T;W8mIjZ_xv%;wJ%Bu5Fh7PRkYE4ea
z;zGAOWZOMRq9}Xoolm0c+OX%@pQ7q+ZY0s`@a*4dF(gyrTq+iz4Y9nQh6FQSBu!qY
zH+G4mhhovy9fM>D&@1yTddr7;EW-KZ4@w{nOJ9wM6J${2nfT>%LI4exWljsPNurOv
z+>hP3$#6>OVc7#~A#_wypSR()Gz#Q@`*-R&33l5jH;<`^pwzhSjqcg9h`;b*zl=W#
zupei>xtWThj$lRE(kF5#cLO^=X-ooKQBzFtaWQn^g=mX!hXUHA+<kgbi3CfZ5}0Wf
z;%M~_a(BOjN2@|-`MxQWp!tY(fSjTP>QGMSDr!?g!E;Lohkyj;K|8fgawO4g6Db)-
zR6*$<e)Kekli)yU+haCMX{50AQP6s_Dypu?9!TjY!I#ssvL<Y@=!ZUTk;tcxKE5ou
z^86$jYzuwOY<jmKbK1oHi>VsO$v|&(SxXz#Z2|__f6AjRPgq?)X=)-`ZtF~ftPadD
z_I0H!D54($4#{^u5|Ia`bD|Ni3v0YVK9W*OC}Q@D=fp7*ayYvGg6wx)@L4ITn>SZR
zHi^!8Te!4Q3zyIO#m5xrAN}aEEl35;<s@n(rs|-_yLR}0&!obflb4NjfhzjvQCV~N
ziZ0sCml|gFiUuLq9<-(mtD)YEx0O1Y6tst+ezkc{4=ADOmA$GO=%se>O6>~@B5^v{
zGxyTr<y$EgoqYs!++@g$xP^*Z4`;EQ?l1sC&5(HUWlf~<dr~iGFBQGi7`kp3VgyeX
z|8TuaC8AQ(bZ3$W73Dcj+jyv$z)C0~P%lOciQW7{G@w#Z!;Uw%#JWwPpkE2gbRnTF
zW6xZ}K2VVJl=1xg8|FY38`|DAPeSr5NcpZD1%<GDOf-@QsFUWokn2H4HwH+HsdQbW
z#Wzy$?l*w!B4?yT3K=C#sV~>lv{8Yr*UivWCX8oa<u$oXMu}R>E4BBvko78O(@jka
z;Jq$Xe@2&#UR+!`ZC*z}9q)8vs~=bZQP5_0RTc?#>RSj-*Q%j_-0LZZ^A=ES>ijjV
zSqnvJ>l12=m65vCzt6^+mT=hmg~X{QB1+Ux-&yRch|YzdJMh-n5}J44EH}&0M0|1E
z$92<WkoKc1g$K!&P*&ARuVxa^v@Mmz(i(^O6lsgK9F}0y^~@)vK^-ZM@HM&23L#yz
zDB@ga0rgxiZJZWr=#qL*y+Z;Qa*pTcEep1Q6wafrnMEq7zA(>bx^f*$3f%wL17`u%
zyNgPaWt5SJtm4*XG>tjd3}*xsFaZ~CU8EX^N55p>o8!cPV~<46vF|Zug4AfyIwqii
z{&6X96`d)=3Z*zc&wT=TciU1+M12d|>E0%-Gx3cfe2SnQ;{u?XP+;%oD~*yz0uA3L
z^)cQDUrG0_XF#R-^|Gt25-7hT@^gRm5QA0e)CcncbEx2bb0<Dn9K9b5@NID$W#~yR
zMym0cLupdE?RyJR6kgsK6mxQ%Q7-9R&P_3cyojy04_y;N%aR1a0pbKh`2(BR;lrkI
zE33OKYKRZry~O_Uz>jgp@lyG0x7#M*t={+3@ewyN-8bRs^KOh`DrIwGsM#3Y!q3T0
zRdFCSk+MH$6h;}U$5n;8C5++luBC`BWj170Gr_-2<}V}FX?w-IyAiORIQdGkXag%)
zS@@vRG04#Gp7}NY%n)KDv(~F}R<I}WP86pze;EIDn2v?A8NyeWcNzq#MNBk5c*IKJ
zH^bHJ=_%_222i3e6}f9;7859BPc63ZVMvCpM@v=HVI}>xO}^tamZO&D7nA#g@kNK&
zTc|(>uITSRmzO88JE!#H#7S+8g`sfi#%ucUp+vQQcx4nzTi~to9skDosuFRPIim;C
z>|Qgi$-`LD<GSl(oed11IPtPyo_fI5f94wG4`9q#FFB*V?-`zl9DC1p(4dKlL_bjb
zF}ZfZe8Kxw4C7*)#kdm<7Om_&?ko3U>3^eavj(3s-g)v~mHa{lw;hEC#oB*i$!mqz
zKBojRY7Z3Ywb@a@VrK^13C?cJt~<ZTM*I<mYZ!78{*MAR`^Q+kUw2|LkH<txlFP6q
zi`d@BE)+<L=x0Puv}5!W!xzc~5N0j<EB8vTF5LZIc_bsQ4V%@@2oqMS!<=JX+7plK
zLi9(nQ(9Cj=Je$`<vs2*=I!A>c5p=pXe@gyEL&T!3*B~yEf$)v(F$YZhe|q-fB2^6
zmY^0a?hxtX%IG(2N<rxBTYGI7JN;}>b5{!{kZ8cK=GlTBpIa-x6;1}`iJAOgr&=)m
zKfT13;WjMFFQI(CoCHq`9B+;_wO|rLc&&!3otSP(j?vp0E#N2&d`b3f#S$G&<p<5X
zv6JJU?Ar9Tpxs)B97k@$*101FwG?}>o~OlGVi$>EQE(})pVW>Ggpc!0N%mo5?kUNe
zf)5`pp7C;cbYLz5k=MUf{>D~);vimD6I!9NH05(Aws<`CaP@^h7;gDQ$@P;2pgXZh
zbNY8-_iUTZPkRkwVs<hUb`2U}{mS#!L#v<IcjE&>a;Jx};NSV?g+vW-EejsIu&)Ob
zvfQRgcr}8pr~U9tPg39XodgkjM=zGyC(sg29>*GwtP8L&sKMf7C`wfOjWJ?b#|nBT
zG4b=Oi$6ToV2<k8&zaVb3D|qg+xtynH~nr`OSY<l^7A#qSLy(^FNR9z<eS0dWMvGB
zZB^l@^QuwG(jXQXdhU+?_gU;y_FvD(?^WP-GG*k{zhO)uj5{pq^E@W~U!&=|g$fwA
zHm#}1jbh9ctxLGMMU3(=srOx-GVF2LxHf!w9P^FI+!O1%f_*>yeU{%|8M>anoN5;T
zhm~DaIEY_a!)|h)a-Hi?f^C&&o-f8uVJ%*Q_kISkpxWN=^nznb(CZLkE}}7mZGcY3
zq5vDpd!3NtyMc!mH}N3y<Se%B*t(3!cXm{s@zL${T|A6w#1FI$&SUq@<Nm$*$ceTv
z+zgFO@DOncg^GwTVc=c43pc}!ynOfVa(%A|X7|q;`J7$B)~mT{GxqYK8A7sFo1!8V
zH_i?&D6V6RYEwO)s{&~5T9IW?oC5SzQt)rDu^_RY(?{8dg;8mA-zNbs1t1SB@Kvd@
zA>uSH=1a0DVm*TL*KW$g=?xyK>2Y=xX>lyzn5#G{(6+NzHkOA2pMsOx204+ENa3zw
z2MOdm@MLv;Q4VfOT<@Uacu?n4r}P_PQs~)+_0FDFIausFAV@#YheW>=Hnn!jAVcn}
zN7gp$X>(aQUP^-Kw%2=_))_f;F?Y{E(S{r-=;VMM*Cuy$idRiJE25ZyRdU)sd8n(_
zQwhx$MTMVK3NlQT5Qxaw{+W~ql-Sm9>n)C?mT8vd|CG_6u6o;u&kB&os*yV6EP;#;
z7tgJIRz*EpBeE_FieT_3)ZZdl3e}r@y4>?w9UZTkaY1kK&^c=#&+$$MQ3r#L<W3UM
z$WiM~gLg{sUQOQAVXGY4*6Gr?LDxd!GYLHNTq;14?ejjiu7C_1UBWJBl2K)FzRGNx
zD#Q`qu)mnYqhl$*bIu6pqP7HAV2M(P@VA$kU!#=KqTeOX4^9+hXGe&)Y$w1l+3jZv
zSrtj%VWB)rrJ}u!fpO<Dw4lH1Z)n_KHMGt0mcB^?4efka`lz8x8#0CE%TK@5Kx3sZ
zBRfX)(4guKlRJ(SXqIQBjbGD5H7j||yZiN#$*%zZ7r`_zlL;7-->Zc(I!(4aJ*1<#
zJxxI_?fM{-e!}OaG#Rmlm_!*#8=$L~4cVTZGKBu%`y;HcwbAFN7Obs028bimW#5{C
z30Pe>epn-;i#%R8d-?sKBjX8vXA5z2pu|{RwJp;{UJV_ic7k-|Uuyf@ITXOuF>o@4
zKta@}+EaV$^w0;*MZYcoF<~J5`1ybS6y)=7YvX$!8cI>0oZil73H85k{Y*YfL0tqB
z;hG^`v~b@dd#{8Q%s=59Rd=8ufx;%EGn@QX^<2~z4Oqb%u5SI<UtQ$i&PXqLuYqE|
zO{>L(SVM+M%{_{PF7l+7d49T}j6$xSJ<p1)p~_q6uPcWR3Y$N_x~*CkrIpWU<uzDC
z?QeFrNLeyUqU2@D8i=BYJ>QP2WLd+LXA=ibO%c(tH#qyhCs@(z1k2mstgJ!#3frl-
znFRE2*O&L5v27Sv;`85%AFZIHNyGcRjyiI=d$Zo{@iarL?w<=m&kDTp#kYH_RL~#M
z?#26}>>w7rxAw&iOE{7Ck?_P`37KuHs2jP@2d!GOC8eVlfO|1exNS%t#pcm|Su2Ua
z5dUTWE!GymD6qHm@Rvb+`^tI?)Wo3fnmk$PArq9Dm+p+wB#>S}#H(jl#6eP>n~vvU
zLf=B#=};R{r2fe#?%*LDh<C5*yxhEthg7V%rW-$64PFzC?7%_QXLS312LlcpTDM-R
z<v@Rw?3)$%B!H19y6b(rIc(p!x=kfv4YS^Ba6EpqUe$fNo@3Yy(rp(1Q^ck*oh;!)
zU86W?|2iu}<S_$lX0$e5^fyMm`RJfu4GwCY;(R;krVydz{P*(Jn^<R($E~1f9GGz(
z-|_O43Aj8w!W%sGlVPM4Fm!7V4uVWdB+peDgL`>G;M4grMxS@}9$zvJE;szP;1e_k
zvADc2%XhO3=Zx|XP2xDXyK<*A@R$)SPK*0@`!6#VD?8==1aR=F{qpgyCPUaTws%DF
z8w}ryU!ol{IAED@uPrn+gv@U`s(3jz(0Tp0a?T6~`wQ$Py-E$>jm%D?EDH{B;NSCG
z_#6)8U$#5t>KMS|`&)XFEx5qsZ<;vYR~(GzU$D`BNeAW`8NL8j9x#%ap1WWs0Yr;S
zSw9(ccyp|sHZ{o$hU)UCztl-UPEMWD<7R!3i#wl5E93`at4gEUQAs$Id+k+9fIi$%
z?efe$BnbOSSvE_mQXqdiX84VuK7`;r4l9TVgK@ymJ6l$zVD@xq|Dkd{2%78}4)YL!
z)vfufFUF<ez}27gl|FiKfc7)vjJYV3N7H`3Uy^|d?Z4h?ih9tS<F?OGNeoUEAL?S@
zx4=y2*KomJ8qD*nzb@t%2g}=Kx7H8K!3YQUuYXTyaKwz?H+w@I>cY~cE2`z;m?Pnd
z$3+?(w~JD|vyOvgcl_eCjv}yEnP8mzX~1@X$7O_95_(V4*v`4*p@>`Y`fW=Z^k!}E
zt5KE$yY^%CExJmOk|h|@Yp}_I`fAN{+oj>vp+C9Xg*JWHWN~M$Aq~z}sv4R^$N<Y3
zm9yXHl%es>Zw>WrG}vRRkN(!l!tT4_(lUc8;8oem<o4Q}lWkO;Z;KqbefnT_@TV$d
zFPA+zl1zhZH)ttV;qowLG$tR|sRnr_EGPB8&>-fbEPL~m0u0Yr+_=@Q4wgI5`2=jy
z0}e+QopM7wMBnM7#<yrd(GbUM?|D5qYJI3dVI2>4qapHsjRepo1=pKT>On)gZR}9J
z5@f#!EGewggw)tt@3~NY5PLe{aPg)xv{>4H)xArEaO0YOya*j4_Qmg-^iYA&^Tdd4
z-deCMd*FJ|YdVb5tN)FXRbefqsJU5!1SOY@d&MpqK;J%_6SZ@yAaFR58S;n(l5CvM
zQ|%2Q&m5caELVeu|K1HW3X&l$@#ev1k`c_dPyIX_pbnRB)yy{8kYOz&U*(^aF&qrf
z2|9t(0JC7O`|>-<kQ?1U<G^nM*G{+?-FT`2SM9cigesF^!#tdFkIfYN+=iQIS_BB@
z{FQ>MBEgO2o5@p)rf_@fqx$9>1h{OTVjv|&f@G`Wp@mHy$b4*aVcRbPXcD4BYK*lY
z@VrDU`HMLeEUyPm@ojRY`3IF~0uf>s6X}`{7=Q=2i+z%s5D-R9p$-yY^b!X(L>nOP
zk;KJS7EO?KNn)Hizqx<Q&c6xa0QYo7#>75t_C1LIFK0>(Y`apEi)sN<iG=Wx69foX
zPbw4GtqOnq(nns+0JzjUo-<s~fO`d&*{7c>134osLP>%N1V=^rL=O$P(=B?=k4*_^
zyk#9LYD{RocTbmEst%u-Uwj=tDS-GvOa9;LOrVE+6=NA!gR``gNA|qf0wQ!5`F?38
zI4uc!ktNmOO!$$txBp3l+el)J_ZmRI+?#B9>Zbp{mi1fLk_1Y`+ccgwfI>m$b*i-r
zOr#`dEH#KjP50s1Yq<ak=5k>VcPm5Ei%{2qm!cr+z5FB74?t~(fBOLsB~X?7{qjts
zFkE=NmOrBjz~}GgKM;h6-)7Bs7cl|w^{xt3|HuHcy;ya=h$2+yCAH0)@_`shv93gq
z0lx$#Gh!U%fw0atmuSob!Wa2x1~bgTVkDTeAbSf)DBUF36>-4_qZa888)k4V__>>x
zpe)4yDBajd;DkHBy4e;y%s~8%udVh?X>fj?vio2I2k6<wwtahN3V%nwq`onbf=lFc
z)N}3}5bx5Fd`#UGq*T;y;g=-fqS20c4O0%VbsQ476K4W89M{LcZu(6Vhx;sXKL=Ee
z@fER88AEht!1Lxdad2Nh9dPIc2V@3(!_)Q|g8-X~M)R~7^h!N^_tuOPZtJ*=#(yw^
z2Cb_J6p|P;onuEKvz#zE?*Gc2ZUn5JCJg0BQ8@RRU{l!41pyaM9vOSGnTwO^eadD;
zKnhpF{kVl2^2)uY{ge#B2n$;n2^WDze`(|E3p~)Zl$p+Z&j9SMj2OL96M?B0_ihIo
z@c}7@I5#6_09UxBc@BRR2IBA5w*u+>kTh|v*g2aH9l}u+_d<lBHt?3gPYFSwTv>X#
zmq>@G0%FuT2VpP_KA=4OTnLtJmN`ik`oK|ir7XZ%7>diS&<~mjq!HYFICtnn4fXwg
z<tSlruf16%rzi?7kDhkR_v^vdib3C~9%1l~Fljw30AWC$zbgh>j7Nl55qfZ=8vEi-
z5rI0+uP=kt#leaBnl7iR2b|#x4${#gfPYuEq-TYLz9h$toK4+pYg*Ap|3o05G}J05
zL;`}NdSnYX^?Xc;K5iK(3fWJEUsqO0f?}R1GhdGeSFbK<6>NyYk;tW*v!c@A)Zf7_
zIYWi&o{4j~M`CcZ@V@T%a2Yu3>*pU;NrgKng`mV;93~%jm}GKn0m{;SN_q?x(qbHP
z5oyz>XD>X8cpwKKdW5WaJgC6??e(EpVF?&<zZo~VTLJK#0{mH)RFF(lGu*{32`?%g
zCL)FLK=H7%0}2&(gu%KiP6}=q$KR`BQ38se`>6pU6-KW~e5<ERLz1eAA8kzue)e@t
z-P`Q{D|$aLKTrl3I}{|z94c@<ZRS+sRw_)2B)PX%%K|OPb159B3ga>Fb`AScL7P3P
zd01W!p7&h;7(-Hn{k9RS<5^UQl`5xbZssAH4WFyHtvU?-7EI_Jq=I>;?}=b}MG&g^
z6KL(H0h<9#bqQ!t-tx6h^Z*`w{)t(~#}Z&{EY8pMISmAeqYG=B{zoAWj72}xgqdCG
z)zefxFq%sD;u27X5~@zRzzZT6%iS6})2Ih~tFTCiQDxxRDA^}lss%VgbvgZlJ|su^
z-HvZm0qKGt{?q9s2zt;dyvC#h;r?>)dZ8-pG<P;P@+8Bv{}KY{H~+2F$p$zTs|J_0
zk1p$QX+s6igi}1fAzXQ}xXg4{2Od^W#C2X9Xv5rg*8H0s<);woqoDy>v2$m(RcXVz
z%tyBxX=BjwVY!mjs{!8^Wn=cd)&|)z+VLAYCXg0(ZyuruP+JmcyL?F-!io;cM%tP}
zU1>}!uc#)l@T8?ot&kxnTE6#+rx|=JCR;oY-xRdHM9iB;hD)OAO#Tpa*ijq#*Z+$q
z<h_uV->yM|5%ty!ZlMgY6VjR0T+oCOsniSSyNRHASbF?~?xubwJsGW7)&#v}6UpLz
znwxXQPw!3xIJ9@Ida+Ft9#}Qc3KwdCN<_=|ACmz4OD+}6#%qEK+3t8&w;D8Z(wemN
znSf1+*Nn(&!jUgKWX>$9z){Bz9NCu%I)=Ga^J@gyXmk}C7FLFU_E$~`QA{|x{d<zj
zHw_qV=IDGx!o&9syM(f2CY0R&of62R0e>1)Smn#*V7utm&Z<}@NGdiyaFtdEUEk-q
zR@-IZO>iU!<rEY6{Wg-#71UswD<}S_k|aEIDtp3Z$Apcha_oqdD&RZ!?|Wn;4i9{c
z=Jv@jf$#e2fgv6hP%b~Yf!>S2Po5kP*KU9<)s7xn3raA->-%+wjvxffnCzFl1F&k5
z#y>iQht~sPvXT+J;8OGse`N=NUb06TR4YRG(Av9$AzWZ_s_R3+JOk`i`<}19l83h=
zl@fT?O&zZH_7-ts0JpPX(Vm7az{hiCKT(DaHY$2gJbh#iyyiw{k8kqjL!E^LdJzlI
z_w6(|w`2y1UhQXhT1&&m8UBP!&kY7W>WYY@y&0q}exH&ok%TAnYBhhg))_7&(T$31
zQ=q<y3R&6YW~;1XZ_|u5hB&W<*setr2)s4jd2LJ_^6+bWXVcdhcfWKfr0z5U7E4lb
zVT~Acf4kvlBEHVptF)bW{h2W&PEC9meI^Qp+PUH?bL$N6yzgfJHuJ(<SHz4TCIZ(g
z0*MaNEU?Aco>3TN1Tp1ds%pK$&`=~HUC_+}o<ptP9-W3D8D&Scz9<AjA~vcY-m(Il
z9*K==Z3t6iVu^9P1%air@6zB0Hdy_5T-~tD0IEnX24;r^U~<kw(|wQ~CXb5kjny;&
zucM(YB@g()*(xm0Uy&0Y>ogoO%Av#Oufd52#rWa)oojgcATAjFk&|{nkq$)S3IBmo
zK6vR|o2TE!4dJ`3<9W070sf_b)r{Z+o?whs!krg*<mRIHY3M_ulkFpiFg`e9@L?f)
znGZhtEA$4I>H&qV_y<bogZY?YoI$AoXc#TZ2UzIA6Z!RYqkcZf*()5Ga!m-D)@%&I
z+i9S2CL<r)%@5zi*Bg3GMZl&X_vL304OZzwW_ct0kT5#COK6)YSdB(rsTZZewEvFi
z<U9e0x&QB}l&2V|UH3T`{fY{;Pr1ds;{@SiWCW}04RKKHvK<Tcq{3qEZ6W7WAuw;3
z#T&NaAd1y)VM&4tx6+<Re|akm^h2Ec)paGIXGSeK{woFetVeX;B#6Lm)jmpMwiG;S
zhs?5M3gm8`yP#+%3U^!sWIk%iK%8MMQF<Q*3LiEL3gg9KF{`0X;y+n%Su}a$N20*r
zivC4BuQ<$i|E!C?E(fx;lF65NDDYsXg4r}T4rs4?_m2B1z~B?Z0+`eV_c^ODyu1Xw
z!k5Mzq~O78*N?*LK3$0TU0=u8E(yW($C{^2lwiL|;E?oY-O+2$@umbRV14sF|HLN8
z>8Kw{crc+0u2K_h>ci5oYp;^;tuPgs)Nk{y;HN;u4!C!0zbrVP4R~MvL=}!axEt4N
zM1hGhzSfh2Tj2DwqjUTNYG66^V9&F26j)t4;r={E9;ya<^Q8$I5ar$3_<D0cgqkNz
z8Kxps3hI4I+~i+34)&yH##DG_V8Y23jfajjp%Bt5O*p8M>%#h)3Nr_>pOL4Pz&x4`
z&z6X=v-9D8L01~28vhA9c3c@$o~7~?>ykk4NX&eTfF7Lx#7Dn=Oa)fD3i2zR$*^za
z-~0ZqO+UJB7i)f06+GEOo2(CNgTzF=g;Je9U<I|?G=0=S$Uvua26P~+__j`VJstEi
z@g?4e)WQCPO<K#G4)iu}e;m?h0B#JEi4aE(IHUF=X~Iw!CN_4*ToyKhfwD`__fQDX
zrsC~}?a_rX<)2=@_Qnug@m~DV1_4}4uPf-->%xCu>wccSWdh>9wS!GBHGy$VaYaZ@
z7rteERqp6Dg=i)|$!-S`E{!<Usb1EB$A_mzA8VL{YV4u6ldp+TS7YOD6RHiA-g`QM
z9t`-qr{XP*M+?&T$@7>=lc6_za_zGPKvkheVxqbhh)LKUED6$rBR*q=D|G+?thp|w
zl3H-t@vI$Jq9!nx%(qt1nUG>K8Q0KGgy9Rde{#Y!p!72Fs@@GI{0{&C|Njh^cRbZ!
z7{_Hx_Pj{uwJ!Hwdw(A@Te6aoC<-On5ur#_l-VFNNhzfyKi@+LZ5fG>9c7ahKmVTB
z>pAE3ob#O5=lwQ+-K3lDCl9*88PiL~(jdQVpqtxm0A0E{+ooUS;G*N92z@$9VAAZ&
z7ojr*8O5u7w>jjXdr_*|rAZ9BzC!Z0fFY1Y-TVFJWr3|lUr3X@7uJ>H@F0FeAT1`{
zIwvCo%a^^=7I_FDr9a5*O=Ac&Gwpf2Y((I^S4Lj9;DbJ?RYUV{2B6gPvitQ<DL9&Q
zXIf^M3&^@7(xdkb;F;?0mhOj=AQk<A?_nbw=+W-sXLL6J{*ShWr-CHlUgK&eT^2L=
zrP=ZOau|RLh5OlG4RP2-yS<X2O%G8^xfT~|0p3rFk8072!PwSkmU|^M&?Yq`o9YRW
zll$j^-}AkYoD;bJK-vbz5P$lUBOO5X!v{wD&k4h=SAHUvVt=s+#WjgWGYpna_<h^(
zAV6}0Q_P3XMU2nBQRr2&J{%wz$_V%ffc4s;)#FL?*sQkfBae4_aNuF#o#}Kw@D$4I
zv*Ve=RG-+LWaiKV*}l3<uSa-*wxYSj;?WF-4lFX2JL-Z~Tjz~&S8j0IFtAuWK7&=R
z`=m|f>%iFVed~PdoZ!F4>J=qCizzvu`>sBt4f$z9qwVK7;IrVmw&8&}Y`x<m;}_6|
zty9Z$9Oi7W@+qt|+jky|b={up&(?x~q}qm0uB<@MVrOa7w1D*(4~?H()C4)<3WJN4
zETBKWFOYb63A<<&w;gG(35$k**CT-$5)vOez1p{erP``qVXDypXD`Y1rQJ;6RkO7z
z&c2E{{PkF47T17VgR8<etc*avx2OJr*gAIosMUkuYwFN6qu0Qq&j6i1<+r08HZdO!
zYKI<;It0AiH!_(|55@M>up?z#SfBsE*pV<bxFy;fwya1G`@0h6^{>%@*~UOh*PJSl
z<6SqdjM0H)AkydW-321_n_hW=s!(6Oy6D<O2elDq3P088fPNsiq<%pKjLJ&ZLR#ry
z;zYotRw+F^3EXJG&Zz(wnQl>Ujt)fW_^$|&7=iuwDuK$V0;j9rPety`4c*WO-Y;!T
z@YMao)v_#Qn4uLLGuf#ZY_c3$j$?sU(%O|b3d-<@&3}tug#q%pPPKYFv%+v?^6LF&
zDkMtX+Fdim09SYamru23gBB~npi9T7kcq^<nN~7Fj617Mg%1aWXPZ9GVy1%q=0RC%
zJ`*GeKZ-8<$_cZ{l2pkm3e1dUxKW=n!>X==kv9uBXx&Osj5|sJnIg^>i*Xh>ZZG@Q
z&xr^Adf)#~K!5_>bx~)VF;?LF$Y)Yn#|zFZ$xV%=WH_5>p(}^)fj2Q1Go|(U;az=P
z!4E|;5EFKP)bL@4w+>vP_5A|SXXh{6*`x#<g!1gO!kn-`ea(FM76CAm&1{uZO0ZFt
zBY&U31uTpl=w*a3B#*ajx5+BO@uIP$ZY6G5e(hs&G;%Mnk9_8Sw5AA25gR5_Zanbb
z=4HV3yZeC2*zlUcup-px{;7LX$P1&o)+=<2Vz6~uG|OO25$+s1?3GH#53>Gj2P5Sq
zKtla~Rs(|)pw_6b_hSWMD&=`WN01~u&)teu-me5>WS&V}fB+#<9-7MUq@d{bx9>+D
zDZ!<Zcd{n$g&?%ekcmx|2<5%D$XAyPi3e`->E9KB?dh;QnsOPaWaz=lSIOW*li4kK
zMHDV{v=K_=<iM`{L4i{+1;Vpxi~G&QpwH@_r2Aue(D>-p5y3!(WxLqWnM2~xQ1GZ$
zMwtYy?R$3jJ>OYx-xv8XSOQ$v{@F!7QiLKQ>ZyYX%3$Qpv*&A;Bt(y1BS;C5p?=-e
zTkWh0u!cLu`r=Zcmy}jVQl@~nX~vpxyedT2jLqf#k_O3^RXEW^0oA((XS1u+z}Ec_
zO+BX!s0yEKzNSM3+vDLAW4kn9(DeE@bFwTvV5Almrcpt?JXN+lKocB7tgI&V<v=_)
zhTK|5g+Nk??Xy2xa6XJ2drMOuE^l?*|L}?mALAZ~4WHM6+uw<sG<*usu*sa%8c&5b
zH}zg^UOjlsRd@Ztdj*IuHC=tlO9ju~Nq=&wK3r|1b&Wejf|JX|Hhh5;AXt(scz6Mn
zJDEgnsz`uu?I{kFC4=1`+s=J&0k&TT#K?7#Kun8pVw_tMaxVp*$?-9OOvNFSng2-e
zVm`g3;gLLWM7+q%`(pqPBGjEP`;*|D@=+*ZlZBsFU5;^w3?V#8`=8LD0)#M31Z<m2
zLquLtCsT<bOj;H#tOzT>gpx%Eca#J?ZG7*U)?o<gbx%h<W#r*VNpAkXz<n^6<MfYa
z*btsmIm0N-a`5l9T+=>zA^4Rj{`p#$A<WaRQ5{=k;MBB$n1~4<T-$$%{^S!wAmB&s
z?fi()zR|>I^o<i*@6L%hhZ(}N1I6jDHl^U;6S-{B5f&KV#mseB!4RY+75_G0k_4xQ
zW6x(ubdYIjGUEEx0HpNP_iyZx09`_Ls5{>VCVC@DZ7IkAn56Q0W^=@#v24=!V*fnm
z^RVxP(QX6qs<Zpz=phQCUguaNna41P7opt4c>uvq7n{_|gyCU(U-}!buh`#vHhx1?
z0PoL%^g8?mXf?aO2U!$ju0?(h1<4rrv2LD~d&Cc6{Eq2_sz$t<Cf}>_sXhp*8MZK<
z;RT_vTrOIHFZk`@ro$J0=s~~Uhay)`Zje2lds;K73n!nYm<zM(fxCBvbyy51q{kHE
zJ={Hb?YdNqu(2*Y52;jhyvYWHkRxJ>Y2A3B{e|rhu{scz6H6e(?FKXB3n>deojCk<
zJ7V6jlV3d^yUiMzAlfs2_RjWa{BT{S<^^VLFnLy_pnQ-4^mzif;yv2%vyCi&Z5*{g
zI-_9vsRA8@WP6BjjMw7~dMdS-?rVYwIwo_%d>81yZ>bv1FT|5`_#|hyG@y0hbVHBj
zHfE9Nq?h=q99wD)d*|S)0X@uTWd_1Gu`(xn+pEVLF)7&yruaH_5Sclh_<YYg#!lb=
zBhC0DHnipvY$Bl!iFI^|h-MY@Fep6zP`C>V>}-4*l&S{gRysQY%N6YYyR24i!9Hxe
z-M!?;x+(<Ni|)TRvV;}1l=%y$3}FeAuU(IwQiUIfC7!-%T*T-|*zTVxBUoq#)2Go9
z6;L=4?jk<CfF&B4ddR1bV{~^Lvkg2{U^A&a@4L<dW-mA_IG6VeOVj(D=h?3euFA}I
z6YcX@hWE!?8nwT%sG8<pc@Jf9Pht$*yfTk@4IYypnw-U!9_|-N9ic+&$BDdzh<PkJ
zWtJ1=%ww#(ZVa3apn^!FD*uhNd8|5TA+ywa5qn{Vyg#o}AU0t(V({}kc4)46hEZS{
z+dT3#J?An7Bt8BS{?k~%bZ*S&u&k|METwAljlvXgV2zz-+u@0Ii|T_StE-qi@4))i
zV`NyK9dyP*7qR&w<B27~4J@<gdazlJ5{Oz{mN&9o!Y-IojI%udVPsd*qv{St$h(wr
z?~3U%_FvLjKj+SE>_B~`<`9n}=sw@|nD)d92FKq1S=QYJ8?M85`dvvNl3fwW_4F@x
zkz8=|#Y0+HI@!O{UakN#qnRw3l53dnd{thR7Co#Ku`hk2QGlCC9-Jc$>ll8n?s~u!
z190}Rs2O|6L(U7%rnYOF*slfK`Uee6(9Qq~?r-FPdV+c<{puDrHZ^D;{)Po+rZkhT
zP~^Zi#A|fhlLiL(UuP>VvBHYNz5~{!I~<%Uc7v3&3z#;Cc_I$6gSF^3GLe>r+47Cj
zsu@}cIDGtE={Zg)ST$$WdMpD;mpgDxUwU{J{_EHJ1Q+xW--rns%D@VDo9P33Mi`R{
z{X-kh1M(g^WlY0Fc*tS=K)Ia>O0y?VmC5tLo_JU6<aHvXL}Z$pzGeaE#SW7{3<B`Q
z;~8<>k_i80e+tg*V}<q(8M6Ua0=#Xb_lqJBVSc^=v69(AGv$oN1xy%7t+Me+>(UTe
zI`?AOjT0;yB)>f`+6(++NtV6y(vWV};6{VE;JTRm+?BmzAb*K*1*au~;4TJvdLtgl
zGpoM#GeI0Cr@t8pQ;FcI$P}`Bk{1rxesW7=kc3LV+v9$5MDVDYyTkRAAJ%1M$qj{4
zz;hLM>suwl@R`+rKk^0Pa+CO<!NWvo4!Q1SeOCr*eHeJUs)gW?@fnLlBv}wveH`Wx
zDhr(^dksG>ionqse;rd^dB~Psl9ahD2ibvV@gA3bkktO9m%vT}zk!cI=YH(G@6~XV
z@Ey)DtgS#)9wqP)e_;jZNx*0x+TdU%0a^<mbhOwgp#9kH0T!qPGH+D!1F9vVzV<)e
zMOG?w<ymCuyHlVsyCyD8K^h!*?;g?Jq5^wxdY*dK&Oh?hI%QT)g#18mkNNM)(7btm
zY(+x_e*O@wELD(&z9Qe4uxu6Jc~#2HJfjLd4wA77WpdCH=SJa{RfTSQ>xpAu)M0|%
zE94Eo0*Fg8yhyvC3LnAaW`Cb11XAz+`yD`n@2s4~8kwpP-Mx~3mre&XOTK;M$XA5I
zYwiDN+*F~fuQQrkM-Qs@UHrADKnZGp|2aVOQ3X_Y<rb<3Vc;(N+nC;$410^&9@R}M
zLmuy0I%oqpv$r$GXq*fO38dSal~iz^{`*>~*#LYQFSm=aQs5T%jPwzC3e*%Hv%OJh
z2p1dnh+Ui~!-GDL6r(RBxWDvmo6E%rRF)b#OvA`9D?3sfwI&OMTCu0K!$z>E^~<lh
zR0)KR8t_#7m4cg>kLc#;8pG2L87INy9q#++yA`w|1}+~H(4dboD2;4bJs^_cqLlhD
zo0bqLmXLmw9y5k}Zt_)!QsiMkbgN>Sn+J?XJe4pVW0)D<UW#avg>jJ^?+)9tz}=e`
zaYyEjK#CbdZwHB>p_ifh+GG=pXtq@|yJiHq=AcF5loU)>Ok4hL8^&DU(nd28jG*O7
zuv*KU1T;=demd>(4R5ljJG+o=2(~xQm@RIKL9ItbM@hf}zP#zU?96EhF|)*7WU?r9
zm^|S1p4-5;m|O&X5)I%~tjmr3YeJA2@ECQ+??RuQr<m3L0myciS+|J`fP8)ZDMl80
zM9VudIvED=`Ib8S(hLu*<d};3y=FiH!wi;nzcAQWXmloPjT4OWya}N#j3`)lNwacR
zAFA5Er<PyZ0|QNjv4eI@DC>gI>;W2mSgLK`w{>&J%i<4~-8|2PFxTCCD~0vo`PIU~
zRRSFlt8QpG_%fk4&)%F4Gth;lCuwI}CAP3*`)R`;OEaO7i3@@vK{~L;ODVP*TfwSV
zZ=AJ$$B1%|X;^JM(1rshU-zf^&0*~;*QWRQGNR}@TDp_dT0r@z_bbL=3`_3Wbs>|U
z5gFIV1|d}~5Ga`#;OObX+B*}J{!}oa4+@K9ze}2sro-d^>u)*s=b6NzRUZa){KSE}
z!F~-$bfw*#b!f-G<!}+EG#F5ddeN;4Z4FR=bG5^psUP>cx5v9!k^zbNKcPLHrw(3K
z6YtnxkKz_j8w6Ms8PMgP@;6_Y)M57i0iVckQ}`YG*Y$c%3}{Tb>~qGBSL!YLiCxs0
z!^13Tu8iDcKqpPDQQVX&INY7}9P3%Yrw`9qo3JyYL)7!90=-q?hO&9?oYgX3ZC*SR
zoxjtUhQ?RyrwTNudX(6f{Kb!c2)~u?$b{r`w<v?&Do~?+W$63V8ZI2{wsD=xj0&kX
z=Z&V7A#)&x?Fn%cKfL<X^{y%lGO5y+2?$q)Vp~RYi=$h30r$6SjGnuZi(V?xi&=Sx
zd&~r_?P!o;l%tVlH7go&sy(EcM+J`ajqU7_yU>kK>)J$hHuOv@SALHc6&gKPMWP<k
zq8i2Mx*MbHXeuo98e=a77S7|D+tYN&Y{=@l?@><FYZnOaF%-~pn<mfcF`&D>+nSXp
zxlmYSj;n(l1xy>ii=-7ZBJC^pFUF;Eqk})w6E8d`LydEc6+x02MR!JgbbrT#I6_e?
zhvbew?!SAnv5p00-@hi`FT;m$Ug;v6d?mPif3oRK2rEiqFo`NH;zzgh#UqZ(E5U4l
zRPiAjHbhS!bNMs~BHf_u)Mw3#aFoohi>x@%+3$mwhqeibT12tyKC1|&n$7HYUvVPS
zEl(_cL>MLS3M4&MQH0pR#E#fuE@WD$UOfJLFDhu3P72+v2m`*ZXYNSwpq{H|7Ngn4
z(4O+WFUr?QpxcHsg+=kAU&p#@HMPZ2fvONujb0IemfkXWh7Z-hef+g7QUduzuuZxu
zDnewZCC8^|0VKH+aQNtZNi?;saO7QtBK#x;Vi#oys6m7feVi(d$`1H?-kef|oW?`v
zRcD1zPQuECtx_V&HaeCnnxq7YVP2n^J4H~tK{Vf0d0E7}+C>nvCquKd%R)+*C|aF(
zMC()|hd8COTx)mkALq{#z#_#^N|w_{D@z5W_RQ)?WD5m`+<aczWr!m)iu(DXeiHJ`
z;+*5&@iV6p_H(AS639_0{P*W$O6aQ#Z)oHW2Lew{?~_SM6hp`Jj<1)Do;)6&;&fL5
zJHws{2N7wcb}Y$vK8u3#hUrp#V^pEFMd=rp9TE975nQI_sfgsT`}=5v8We7D^LEF{
zAk#g^{ip?0^x}&@Q>e5Cj4ZOH-7Awt8znubbrz^-S3%1m?GjCZT`Hp4^>RqfkmYhM
zzcOlVs-hg!(FWNeVNk7;N4kGmY*m?+(S*-u#`-}WkY*X`Ps>$6cMovj&l;$x9?cA1
zxU2`FTzVpHHYBv~M8el7pd#Z53)(F?3<{Sk3c@={$Z`Cl<GqU%q(0;p^3fH*;L<5+
zJt;+`aQJ+{dkHey%_aZBf!hGO{ExPoXepxIX*WX)zLU^Bs*XfOl>s!-MGn+*Dx%v$
z>MprP@+kdDf6JJLAvkY3IdGPf5KRc(z*>k5+J05`DJ;(rwvKvei!+hXx3@o>V=qgg
z$rBydV@3_3xX*2YkEDReZ(c-8=ZK@}E0v?YEJomTlfy}1-_E}GBLg@i_9CM2kzrcS
zog7riU+SHZMMu8mbvttjBLDq8-<#JAVZA=`6W4VaG;_|gv_Y5$#UJ+>?Q1uL>2;g@
zp}j;@`d_NDu?rijDX|DVpJWIg=Uv|0+?7IlB&aONV?a&+b-DdhF@%9H1`FT$B+-JQ
zhkgWM3ny69OoewEfTWgdAo0358pyU5*HT-=1%=0oZv_~DRkn8!;t)fEGuMYDI!AHb
zM%UufHo&=acL+k-dy&}t48O+`@9}Ld_a^*0z|<FQmZUHtWc-sgeeJ|+tTvhPEw&G!
zr^fNi#&-cUD)F`S=ALdW^O;$}oCgM5TV)Al{(OjV*V#Hja|m;@(lqXm*M|{}kl0Om
z9&|eH<~7@(5zI-;{Lih2dXN^p@?nO+g{*_b618~7uzli+T>pA?p|^CvCFKk|%8(v!
zxe_vl4a;e;1hVTw+vuC_Di&7sWW8}rU~m-ks?dGOZ>|Gp4n#e=x50!$y8Pqbq>W%g
zCdPeJ$=c8@m+Vwxz<@$=0()THPfRSMyt3)D7LZ3+N&~uS(NFuQ&Sw0B*u=!{ih#XZ
zFr&GcW%8T`^*)LXFVg;wefE3nRTQWRgL8L-UzY#F%bmVEu?Tiyxjm<j$h_46Uh%6#
zZ++MCsY~|zHOf9=EeR7JY9uw_2yb<8bjDx&oc@B93U4#!^-lGg@FjKd<Gy`Mgt&|c
z+i>9{%GFpf_g7WHX*HNxOwr8cUc|*-(<(L%dSe+&s)wQ-)gUWW(7*7&JRa-MUK4Td
z8P0OaFi5CL6`Y1Qlzl5_@r%#jxRaCL;53(dV%yYJp{UT9mI8n9R-?nOYXv^w3!lgt
z#~!JG@qf2eznV<rJT3`%hvrxOMUd~ob{Q2oy`kA4@cb8^DXD2X_oWBto9c+}FHweS
zS#r|;3zK*S+1GLZk$$`&LNhg1Mj2YCY*K^^Ch-0*zuUP&hw!Km$}YDmsE{Wer&`KB
zf!mus%J8Zm#`QU>d-&9-P`6t4LAP-ncc^Kd65txcOD7MH_9F`TCKZ_-eKC$-{kbv7
z5IljOk-RC<Z%cv1!YA7m<KwvYal4ZiQ@?Q0pMqU<O*^^6NJI0V?asMBC<>P6f8*)B
zLn+ZSN}#{L0u!5^z}JiX-D;F)aUyf>GQ&P4IOmnS%k0f0{;PIjsf~FaPdvV0mgJ}i
zLy7|F=idFo!w-51<fSd(vb1H@)9EBQk(e6L$~2AZ1}OB`sV?F2*zqqCoeChi@L-ZI
z@;A<@z}U5aZ5eOMkt2$WC_s%tndNJ-8T_qvqWb;ezj$$H`uNaEd8llOs<=fnhZ`49
zs$?v$;dY1TK6w2n2W?~<u^RSy-13Wsp_IlZJ}dB9rIKF`-2T>{N!MM#N$w7^T@_on
zbd#T3&yMdTORr0LrY_=nj-dlqk7*Ej?F-l6?=o<gWKda8vy6+f%H;$TY0<SH!3=d%
z89010&8Xte3LgG~(fMd29a8vJJOBPA5dxJ<^3uIm@!pHiE>B!yK%L)z_0v*_a7gD&
zk*Ui%&imO{N->lPU3fy`SFe=b;qI^s!T3%5%nR*5&ofw%teSZ84>f71%c(m0Wq1oe
zu#o!G>lZ8fx!$CEtw{<VIyFyvAQ~h-;%I##f*tLy&C=WDCIuhqY+ik*&>~^$%AtWG
zPGnwnuR`dbBxE%c%sE@=P=;~NN{$jY!hCK@ER;!t!}TAHF$oOl*}N=G`5+Gprex>z
zdrHDLUibd_04C(JCOaHn%ZFS)FEB+AC1EM2^hsPI3zFe=OuF1CfUXfor)xGOAemGr
zn%2pRhy<}$K^p{QC-tduZCC=THA-(cy0W98bS0676C&tBb3)plK?zuC>Q0VI<3wCJ
zUq1D+?L%_6)KqO2C177F7jrHzH!|$}ZZ*6jhVr_41z$@_f_6>ROhX+HO7zVN3BM$P
z=rwf?(uYby#J|roXHxjk<54|zKNTs|Z(VS;=(i;NJ|FD38ZUsvE^%ADr6D2*sh{T4
zX;Kh$H8ak=gn-&?$6poxmO*(JHexwWN(0HdI8$~>7)>(elJF%t<mA$*DSn;^&k43t
z#51CZwO!Oxl8=P6YMbJhyJSG5moYdsRSfkWCVS@ZS3(TC(>DG@%YjYwUin8W;^@L&
z(_=*j6!iPZamMT@1(;Cz=TIFYi9~xJr!2cu(TyJb8hf822q5LQS9H?ITgD=)^Ncdu
zuWJ%_(~bfO4}Zsc<r7id#IdUf&#0i?3O`)(e^a5L>d4ay16j1>e7)}a0aet~cZty#
zR{=uTz8(LQL&41bDGc;#Xobtledw(kv~qrsz#|k;&H}}j6s?AwS?a62X*A(cJKsZ|
zRT5fJ)BluQu7;E;;q-q!w4v#vzgddC5^~t%q$3-zhFoHT$g`cg;JzzOXU};udQp*8
zcW6x&C8)g56tl(P6ScBMOND~G?w=crXH`XZss}}V`v6}4o4Rl~j)KTuQgp?&%4p@Y
zvFWol1L%BjE|*$FL4W@}T;=1WqQ4pijUg+B;7ct|Ro>wwW$QWn3{52z&E;xt{niNh
zB2Gz<I#W=_`1$%*Q*uZsui5tXj-LieRf5S^GV&Q}={|N+8e!5`@%eURh&C}*%Dt<E
zZYVvEke?JoIH~o7$htASUkzNzASfa{fBNl91p>O*_wgRniZKLE#yGM$Dxg$O&WI=q
z7vkqNS}<=m29FPl!8eb{p?3Y>SM!PV$j>ruR_=^3_~kS_RWO%9nv8d3g|5uvE<|(g
z3)@CJ9z@b3i%X;5Q^yABeso}RPOtUfMj65L;iG-Q%MvKUL^&_Tav3Z1{Gb^A+Yofy
zt>DcUG4v^%qsmr#7u4ml|EO>_gez3O-CD7GQIY=9?GP?TF!Yre;cYa4@n}y5?^FUh
zCsPq&a-RhTTI1>I$p+9E%+9p8iw`N@SPp+Lxd&<!?di(z0a(VD(Y!pujfDJgX>G&?
z&y|Kw*a!m191ut>_FzYMI!;y8R<eU{)lWY`MGUeh7S{h=W=5SHB`;D%IiSYxp8p;V
zeF!*uJnfzi9jcj(8JMARz?_`aX9*iUXk@u98}oA$XM2!kcAc36(i5%(mj~%WOZ(F=
zbFhT>+ceu@uh}6agm}97o(_O}roArXFWgAPIjzB+9h!8%-n#r<8`6H%-08RN#-o(l
z-E+3tKzy6$35TdQ+^Y+REZJgA+GQ%frGgFQzQ@uf`)Pq~=E{%Y=5JW<G@nA$X*SsO
zcfF{CYr<BsN|^c4aZKmoiC?9bY_MA=Z}PIRCg|8lzA!&Niz!{w#Lk(s!Bd~*gg-GF
zuoP8#X|!z-I}sY_|H+>Xy0h%RZcVC#Y41UYwxqw<;mhMaan)>aL@)R3Nf&h}G*gLB
z-dx9m2e)ok%d&&e?<)&4pVZ(^R&}L<#um0|%PYtAmK}7)mU_Ic)PPa0!>F~82L1;C
z0RR6Cmv=nXZxqLkYwv6Cy<P6T_WT}ONn{j7BBLZTWmE_$h0KglM&l>DB-DLSL<2=C
zvSo{?jPUdC`QyCKInVR@yg#3f%$U#fX&hj$es{6rg9aSf9WOH$qJcG~;eR^joUr69
zw9|T61N>wEgia^Yf{FFnl+iDoU~c2I{a{iZKHSaxsI-CuavEFU<#;Z*Sa`8GC|n)v
zL<9cu9HWPeHIv<yR(Q~=(+j}x>R`MvknhmN02L>H42Z~a!`u2gev4W%1gv#to0&2}
zAx-(?cu^iO>8^BXcP7K_b>4BRE@o){vcgiQ#tUC?{{*<{$zVQ0+V=Kj1=4`Qxhrmb
zFjN^cl-5WBvRv;AQBHO^-_ZA>{{cTRjw~fNpC^Gea>SQ@=75U8V>787f^a`2@q)BI
z33dhvs%1l*pwJ-o>ROf%$WDz01TvC9cOTbw{&z0;z;c`BvYrTRl&<o6jS%5Y^^vx^
zpLnQf?iZ)p6$N?&4*WPGLa$Jkv>gu*%!jtb9i0$|>W6|XvlT>enh48$dVm+M4qxVP
zT9ts|4SJ2-2SoT$uXu<$j}Ml_9OaMENkP*^B7;U15qNfakBe>dL)b#6z_hG1ylI|&
zE!<9onA9oLXXgch?R%4&m7@%tdiP4HcaaFv1}Bwe7=(d}z5eQ8iYySGkL4}Nli<gO
zfUr}g2pDBQJn!&H4$krC?TYW+p|Y&gq~VMhBpi{|y)C8ymbU4ReBVg$jAh4^U0edX
z-{)r)`zwN{^{44DCo+uJO@+VVl7tZNc<)mUN?<W(bmZkM8T@qTx$m(`K_%nXbkmkH
zWG~LADd(s|uG`3VIh!=(?CX%SP$K|~hV8vn4-MeUlUVV?@6G*HsyTVTDy)a^_R3ml
zLVldHObfp(=yq;h6fjeRI-EJHhq)FkX_<Xn5R?PPp0=*fj6_%upzdgJ(+0Zb*sAM1
z@}Td|CGGA=gypaJp@^G0fKg8s6w)X_tk(D3sAwX1=?)w%ey<A_huB>khZSIYV<9st
zfe5q(<hMP-`cVB&VnDn^5h|E8_TBO%0+*xi4cj0C7`$b^K(k*7*sES>>+%qxqs#WR
zX`3MgJM-CmdancrN77ep)YYJCW`3566$1m^o}pWc%5aii)rx6`07TK*<yHxRLEMl1
zQZCAHD>^!eWTOJSue50rD*!r5N<WwG)t|42(0QL#0>!2`QZ5R{Abcq@uY9l1uQmKG
zI;;Q(Ie)6}CL06we_mtWol4-i`bK7c?;iJ9TAS5}jNx33@bG;-B@o^zm-+HW8eY?-
zFm-a7z-?zArS~z4&@0nAa3M?*E_b99RH>T4ml^Bnn|Br9vY_zU`4eJLQr&uXRNVv?
zex1=ODUt`KhXT%ioI-G6E`gmWZ31B@4_RJ}mjgGKXf;btJ|OqXYjW=z!|bm1?|vs)
z_&Mu!xHkw7)us9D$GePyaIKsEl#mQe)-1I@yTA_NU9t=e*Nj2@UG`4S7b)=KzN7JY
zju9^P9<^K5GX{Nos#?=*NeDmmHa1EJ2fA}+X+2W_INvAAsm>CxLrudFeuN5QX5L5q
zO9E);d1qd2DF$P9PiuLDH!(B5mAP;gfD?8XQXKvY!+nB9O<ekK%x`u2bl+_ZQWdpx
z5?%|!Haq1J-~0+jQCp$W?Kc9ARpoYzdVbJ6LKnEdbP3yx;j<FvHi8>vwHzkzctQKb
ze@6dc9%FlRnemssA(WRLoZe*Q0m*#o;+T`OSb=NS*N!X$cyZ^r-nKs;rY49f4qY>t
zFP$Q0Kco+L@>WAw*EylcVNrZte-?XUeUP7CULT5G#@-d$bHKi&OZ;+)bC|lSJW@EX
z2g>nYBR_XoVVAqx<>r+IEVi_L@q4E(^!!#;eY?U8t1HURwyZxfQOjSUWGP)RDdaT0
zD$fJ~_q#4s<5n;cgT(-uXdT%1WbA~|9R^TO|5I?X_7|4Bde`*Ps5T6g@)l7Ypa<@d
z{?eetHH`GxaG}OR8{)1ye3~WGLBdht7cQ6oV9t(On}ixI2wh)tz-(~9!_d%sH)9=Z
zP;kG`CZPo(wlQ~OZ_~mcb&=4e*PEED<UVcF3{9x--B^iWr-f72LgTsI+t>(i$e%W5
zO>i2ME;6m60q&yt_~FaD*rz82BiF8KfZFR*iuM<1;9lm-k|G>66s~nErP6DFwljVC
zIWHQh3<y$sdz1$1F08!ylB5p)9wTN0=V$;wbdagFjTU%gzD)Xas{?C>BPZ<x8hD|0
zbm>21I`D&)Fz35uxVrxs_4f@LD08wC*!WBjPaK~vRg%bH>RioU>Q4*F>R}~bR~aF&
zK!@W-2MG?mi5Xkkp@r{Oo=KDT%urUhJI>)rf-gn?^d42?z^(Vhr$^Y{`?!ByK21#m
zE!;yDt}Ar#;q~w_VLNtk6>~1>DI<d3M5x-6P<k-fH0hf$<pdkr?BzsTB4ki0@cLh6
zfSfJ{#(iO2;4C+s`f6JZQrEw|Jl4brQ`U=^%u77vk;yp;r_^92CNOxOn;F&uRW3zK
z@Bkljd5Mjxf&g89@~bo!h_OZ!rwVx?He{KR)khV?Z;Bjyr^N;p(_<+=b@_qZbDyNO
zMSv#UyGx>U9AL;z_7(Uo0Kc^~8%^&K;C`+~M|3nNsD&npcJ~UwfIfHfmJ0!fj^YIZ
zGPs~M;GyNmUJ>XY#c!UKCxA)2$C(@o9>ycX!*c(Kf!XaFFaEI*V2;U2#)ysw{vCL;
zk$YDHqU){FJ(&qmRk3<J!+USOw0eJzuaZDlN=bb#OMtwxTmRLJ@xiYw_bb<Aq`_8F
z)GXSA0EvrvP4STeFxVS4<90;`7!MxDXSEQ3FInMeEl~&#MTh^uR%C%Mi)&PGj~ku`
zKMh{QiNMf0<7?(Xd01N%O{1n#gN#RV`9;4)p=IAsT=u#G#L1G4YNype)I=pKomv8J
zr48%FTvq}&E9U*&aYVRpY}t~}D+v~t$P1goD!?U^Wy(M#L75+OQJAI_^zP&7%zsFL
z#kAkwyZ@2k@Ch0woVzq!xG&7AFQ*2NZU@uw&67cNbX4MWstkx^->P0SBLelSbmQ(V
zb-<M;+by=r0=r7^Zu|rhoX^A@UQyKqnDBC6T9bq88O2`Rz9g{q?A{cM(*hi`pVK#S
z1sEtvFFf5vf-LjE1*hNIz}!cU&^J^B=TU0;X<9Oz`i9LsiqVD4{<Ms5=1SnuZXo8(
zMh1?IphjUaeMs<O^4}sUgMq$iH))In9W)AD1+NUC;oIx4Pd1cc{S*C6bQB2&dwLgb
zPaA=E)l#QN*53Y+d0K3Pd;c}?J|7(w0K|tplHO4Pi-U;=i>QgfbkrYXdkJv&Pe|Em
zRRU<1ZOjMn@$S;3&{E+kW02hJN${5<K*%_*^GBF6jLS+mIBXh&_Cx8R<S#1l%=K;0
zJW>Fa-MW@P0VZ&e<5AO%Ln^TU2|KUGxGV&amo~@ROd!5flQ-s;GK^j5zSyuT1<r8_
z$7R<|;H}q%wg2*z;Kk*&w~6c$Q2J_IFox9>=H6Esb6ik_7v|KG^=U$2<M!c)Jgq6<
zmd+b56BNLrT@SgR=7oi-gt&ka6X^R-;DqrTIgsf+d6MfTCuk3UdUd$W1nLGMLC{tf
zh`J@|CKwZVbiVni<YEHvJ~)nOzm<m0i{G~JiZl@WBvMIgkArE+tb!$GQeaRL^`rXi
zI@Ug%w=0rw3`sO44}A6vK$+o=`x)Owtn5LtOcc==uIbqIeajRBsgWn9+Fu8;b}D@%
z##VsTOS)0>t-`QuBed(*T!r1==lEvx&>q*^?F7{M1mU9R=<8qC-%@xoKYrP1!{9QE
z|9+Ff2L)%Ggr4pHMtSM(G?o3s2(~&7+?_Jwfg!zshM$IGlpV`lycgRZ@1ROmQ4kL|
znHaFtj0s8z=kb;hT|;>2c)(~viW4M^rX_}ACn;wt4<sKuV*uS810SpES)n~nlU>kx
zk|Mb9y7pv=J|IuV<n34{;5!n2*3D&t^3kJQ=JuE#gi}aO=Suc`K3!(q;TK~Rn-c-0
zL$Z2MZce~)@Zo?uO^mhLbA)oQov#oVqzhfw8(jAFQ3F0|B}Ss|8--7G^~ooS4(KMS
zUg)Ua#i~2g3gb)rDd88<A``C;Fs-?Y$?N{ZI2Mgkr#*To7Z`J`eFL@O({;&fj#?Yo
zla;zBEPU;hW11ovl^?WVFqxmptKbjz*h{%~_e(uxEz_*+K3NOG9Y%F<UTfH>DZ6xi
z#zhLaF4qX>Yr=mK;ySr8zp#D@1uM?6T8ziiS9F*`6T$~NrETVxu?EdW-nJWU*f4FM
ze_OZ)j5Dx_6UjfZoqf1N&(6NbE)B$5mM!k(nn@C89LpjWk?8q3GvyQJ<HRrO;iJCy
z-$^-*4)fUZufX0O`!86_J#y8+I2l^9_zbV_&SF-fvD!*3-!YoJ<+24&GH5ZbJrbgu
z#mrQzyBtPGF$UU08draipe}`(d-vE3cJ0Nthfj?ruww1YA8wu{!OaPsL%iG5SlooY
zlHvU+tWM1Q*WBMd|NBnh<GJx^jL$V`x=UmR8=#k^PTups7bV!WoEc^?y7Meo(jU%Y
zK88%n9(+XDkr_8+IyHlF*JNq)*)3vBy*GO+9o67yalyq8)U(*f<ZW6Wwq-1HCX}V^
ziYf#JmWvI3oW(YuzHa$@bp^ZS@-XN}Jpm~1L$~1D9Cp5|v?W4t6)PauWZ+g*z=z6=
zYl?pXn_#QY$#}DdjrW|s!$#WEogggg{LMwI#jJ1jV$L6Iu6pX*pYzJFtE@WZtNRm6
zY^z64lGib<wyoHvRwbbE7i$i?wT!*|B6*snViS928JX(FqXb*m3-Z>BSFnegU$-l^
z{$XqLZL>elD1yeJFa6w~e_`$NT|{#9F7`Juz1go*0V;M>F77I?Vfu^}mwLsh;j-PR
z1jC+Q++J5)Km6b~76tf;_Cgx)UQHL9&feopeSNuz^<PZQse6IJ6bDI~v4Z9d@^Gii
zD(a=s2DaQ!nGEKjhx_AwFV9|<1KG%TD#AirSRhlCmNp|J++``f(e_Uk##I&1U9;K7
z%1#FPOp%!3mdyxL+Z9>xGfRm0`g|8-dECb1m&OXRcP*zFxMV>?L86mPriQCSZqa-y
z96;aSyJP=Q2E-DIy%QhNKy$FNOAjp<>~pt&l(tU>eA7RSNL%0lr^8smnT3bt^fAL9
zzojAJxf1P77J7Jko5_pbh6gT~is{r=N`p~xg=FeB12k}Imf+R+AkwOdu{cZ`2Cb;}
zTS_p4+Bq%pS|b6tHDdg_@qjc4McRJk4QGXr)YF&GL<@mq82RmKEosOWCJWtR;(%RQ
zzDrNnM8M3q*(O_48X`|eUK?28gz?%+laKerA@2gDJ+YC7_@04}_s-+tTu`CM2Qx`{
z@+rjp+ZAc}Jv=k@P=*Kk)-!da2Bd&_*W}m7uhQ_s+91zqgBOx|tzsgs$$(CwYCYLm
zW-qU-%8vcvhbI>|2Fso0V64$8+Y2WP8OaY?RmFwCv*iqJl7#}4b5dDXPszfklCuuE
zp(2p#9wZrOs|1<haugCy9wa{`%+{`n!HdHj%({Upko{0Pr16vje0nUPzS$!IF)OdG
z&=skIM``2BbP*-Ual~s?8c2b#wn|`=9}%jeGh{gwRUr4})kD!udwU#q<C(cag1(yY
zv4w0^$W`_%Gu<x>tQOkYJ*i~)tase#X+04%W^W?5NjVt$z$LstQ5_Bw7%gr%lVNh*
zL-$IY0z_GkUpnBX0ev&YI08unqMa`oCyOh=xt0V@8=NMr$4i*Z8)`vX_y_v)mC6ti
zlccnERuiUep2~WM>%isPnQsDR2p}0#<)U{}6I}S;b58Z^!Jt%2ujM&a_+kD#Y}#HE
zf^TT+i&z@MPunCf=38pOLrjl7^jrfP%;y$E8!!;-dcX5Wg9yz5uQddk)j{O5WOWLY
zF*x?JoNkOHLhFk<@95)XNRpsvg^HWNFO%V$hcb!qX!Uy|uAB(zy|In<cvEN%q`s7V
znFuN$cCUAP6M*;Rbq)V7rXU_x?i;2<gfTuIV}hU}Jg;6iTK6*pe|SPWc~uR<yVE?w
zi)A3Xq}+D0-3$zTwwiq`RH5zTqxJ!H3E;JT*SNW02JN;VjmsNVz~Fkb<<2TURMYWV
zgpHYj^7H=D@)aeR3oPBvByz&lN2gzimYYG}@9*cwHWk3tc7t^%j|L2Lj{McKHv>Ff
zEff6@IhgtVeN<6=9xJW1UiTX@1#*RuBYmq3sK_4~j0ychIS`OBGJn(*oD<q5_3lUk
zZZ>+rZ1Xq8Wn|HM_^k=(a5mG=MN5EKcE-Gk8Z|QI>~Uq+F@fbPrwp|hM8Ip`;!&X?
zI>hqx9s78RF>JL>Cn~cDg3rKb?Kc<``Wt1P7lt>6id%mz`F(idMAEg~PgyL8Jy`VX
zhXeqzq`Z(9G<dLos(bShFB`JCrFoFFgTaWAI7fL08@TS@>a1L5L-jKAJ`LMO;Nx}T
z?>=rukXgUq8gYmnZOJJ`dNUhA-{gZbktrHr{5!4j@fbUr>|l}^lr{tyU0pW}_=gpE
zeU+9cup?5wRne(^2B7LQ(O5^bh6O}emKc9$Lvh{WoSKpPkaIQMY5&{|_V?fj7ke}t
zqVei`@A^~^D!d*0Yui6#yf%phFG)63OCDUM-PDD<r&e26S#ML6%pb3!ZdP=Z?Wux?
zr7j4Fo|S5s9-zoEZxR;LS&^}i0!`Z;9at_qc$wkQ6y=)z!S{*5tcb=&Vj^ur8@i&B
zv*kpVC>q}z3$6#TBHo^wT3a`5Nck`~+0L>`Y3c~%yO*)o#|rPA-Ju1mt%bW~wSOqy
z!#s&MzO$m@gAu#DI$GecFur&bzezC?*57cpV?!#M_u|tlH9=SU;~GJ4o5F)P*eqFO
zL%OjRY~xCraFW}1GFg}kb;#A5zpQ6RNg{vA^N%%v7@lLZm_&`FxJ+pK9&;eZZI96s
z4GriCz(3zyra}Go4`Sm^aiSG9uN2N!b!c&3{KxEoLxQ4#X~uXilorXqWa^|2&8B9R
z?DceLnkWCbMIRSR@`?O+e2EN4RewemiZP(uuQKM$s_>{vyDTy-nG7}O8+Yi_7?HWs
zell$-H>z0p`ASHg3~XCcxei>+$Xzds_Glds3S`rxwH_fsW7cg}=Moll`rpna@-Qz-
zu@!n8pH2dCN<m=5el~P%>yLP>EI;a=$#XEWAwj0#b+w<&97w=JP{t@p04@4|Zo+Yr
zz-&;=<6$T#%6?GUca%*C<#2QgUfRnOqVxrJSA)4w@|er<x+-BLZFM%%x0(oP%AGf|
zV(=)g=~C*yU{RFABcXgRbx#jHIv<-BbE9y9if@k{#SuZjU`uXKUv9hoDj6T(K?85w
zR(_UCpx%^uG5%m8)HU|<-jm`(0X3dWxi2J<aL?VNwP8ef%qiIy9mkKZE4niG3`-$*
z&13=B>qH2@=D=#UC4e+pa;1yeWl+n2_J^DbBJ4N%+U1=jgcOQ+Tyv~t5mB+4k$I8`
z#orp@Hi;rAMauj~Mur^XQfo2uRV4xWgw*-`B~g?nlpS0#A&=ZEOL9U|NN_K1fXb>>
z990@g_TzOFk>+g=(HS~29JDATO7%-1fqn08{kWlorr-W!@XaQJLAulGX0Id~8f#jX
z`KpXAf6hyBFjj|Kqh{oheks&JKpPnX1SENlU#f;d1F{agbo&oWqk}IK@?RONqF4Ah
z%ipsa(7|8>cV}c!%E7$<RIJqyb<fQ8zG+QBA-M@}mt|3TdRHBhmxw|)#%{AxX~Q)t
zSHG-Za%fQ1zRbXnh}s3V(}_eKPz>zR!p+JfJ0rg{2a1R&iF2js@;O~tdF;@e{Xqe>
zpBajDtRkY-{|tgVI`lvauEqrvC?eBO`g45QM6@k>Of^{A0EX=y1e0u)kQ!H)aJC&0
z1tA=BVYDIK|D`y<IiiI2uOtQ2G^rsi2K)G^PeyRS^9kc43uVOod{C4pN)<K8X?+}G
z2B-<I5&jgbj4*Z!E%|8`<QGWIoK^^s=pna*B`c$6Eo%(UOv)&@I-;pa!Wd*yN+Jb(
zmC;j|UBR563TT<Sc_2F37#?wOaI0`Aqq_wm{gnUY5bdnu&Yf{%DERz0nkrEV8R1Qt
zZEa*wY=6nED`F;Keoac4(yNFl7YbS#<|NTl!q+b|U;+SAK&`*|L(hR`O#wN*w|lNA
zD~{9~eez58n}Feb8prijd4yl=RsZ-{2qo^Ge}3N31QsmN#<$OMsFwSg-h3P%8tJHZ
z|0-+(gC^wHQ>C)V#jH&1dNUryk3F5OnK1^t^UoKHykt-i_v5s;ZS3d+UpO7l17oO^
z2sL^pB8~jwtBr<M7?If@$HR<AjltiG?T+0iNt802?GiwPLvYXGl?Tok3TNAy2a_ex
zUwKQ<!Y{j&=0caUdk+Ch_>2F|-4jE~`co|TVT1C_Uon5y3ZSj*c~lpOAXBy5t=#-;
z6q|D=2rKU~kUzV6NPR~TRfcZMVB}>=pw#ttcSa0sJtC??hxyS}(Y2*x-E$Nlk?vD^
zrbfVS*?2y9k{2a)dqcd)H02DYcZ5C05GH;bJ^jkXgEos4zWeS@Qi!^rhSw+t5U9@H
zXzz<hohN?uEs-ZF^IEE6k7*6S#LdyWVscMUk~8ici=3pqK62{UV{3gVZts61hvz^?
zFP}Azzc)oWLFeUbn4<@+u3obq_xE%>*63yS#c9fUftsA?SzVwHRQz3gg&D0JeEuPQ
zdX~a*h{Ng<rVCf^Nr&5%Fe3f9v2(ev7bwS*{PKx;Iw0j*^j;RnfDDO$I(Vp-DHo47
z$0hCYMc#ooPWT=j%2=rzRB2nG<YjqUU)bZz?EWbZ;qy2|jIE<$yT3}&Jrwa`?6nrm
zQ`>K8N7JH;n8Tv2rN1ei!^bS1?&Z+#)2EYB0}cA*=gKMm;xDD7K>yfCi6%(Ca1cHq
zPJ`4Mj8iTwZBR;&fAzK#)C7a$ymPOrsL|a618==_|52(F#ytO}YwY>IxN8Bv)aY+q
zcS=Ul4kfq!rqdv&2Bes8d(E0sBOCFk$oFYfsIYeG(QLXp9B@Bisj*kT%@cR?>?Ac>
z_ma<15L5@t?<xk5Pg0{Z^imEr`)H9TsXn`~gbW|!Kl-qgQX|UBe$rwa4mr*aOdcVV
zp?>`{uP-ePvKid`+UP`&u+JJ=zOPBJ>M!I)h^0Y+^sVWu)Ql*KeK+BUD+waxbn>M{
zY0;FV&EN93OlUStQeb_Z2!9(VqK*&HB5gcpGqIip1#Nz;?8qeo`?g=qzG@s28?B$F
zea(jO41}#4*j_$mCyV7hq(g6f`hI@h;y@1HV~RNY)xhOW!`7h|dh}q4huK<<3+WvE
ztRt$W2L2}&shYMJQ2x<31;ycb^fJsPjJ8A-=ze7KdATs5<eC$DEJNJrgqej@wTLRz
zsH7bh9b!hKHiwxW9^*yd=^Nw>O9_zHAnvl7z>0#J1G(>R@S%x`WLVcDz)bTfNzsKJ
z1vYM+<!%r_5&k|Ae&Z_efw*ZUpu&kXvwTBYbA?cTB@cGujtc0T@YZyjaG_%=ed}im
zMUZgtf2%8gDv&W3O~n<0M~Gh5qPtTJEy<jEaMMl&^3x5|HJZ4Q&x<iF?Gy<l>~bu6
z(^ds4e7Xg$i}NDOlQAvfZzWNmK_;`GzY6^N*LK+KE+1mQN}E}*rxPcOaUr3PRN(!$
z{^CF*0VE=L<{Edb4Ep6BPA$YjfP?M9XSz29(G|DmmV&>s=nMTe^_wgL_}i8IdetwC
z#GZzKmAfpD*6*5_njBOGlT@dC#combUXwv0nM)B_*JZKY(p3Z5u8q^uKg5x{@sV1;
z3MCZr=St6MRU*U~1q4R0N+Q?j#Fimz6?81%Z+zk~5ejL$)7;2XNLr0K)pm-29tw%(
zoT?%LiWqe*@svi^tnOw<g4ED~fV!=TVlqsZ^BMT$$)KETxMMv*MD*wRsJ?Kc`rbTJ
zj^F!b(eUHYDOx@fqPZg`rubU}MDJ(HTXD)G(t~>M;JYNWz11xH#$F2o1zvbhn<}7p
zV(#%)jAZn~*hO!nTN`u)vdbC#6cJ(UszbRs86AJ3LHo>C7X&Y2tI|<QsII;1qsbvM
za&YztXvgcrNgjSpnLuUa9^#w#ONNYc&&2oFcNl;xA#~@tp$g(E?|hZlOhP)l^;e{#
zj9~MCOVF2L6?Dn!So{0EISttMzZT&H_`}{`idhqo`$%b~izX3$cI$TQ>I3i$vY2PP
zL_jJG*X<beRguxWx1o4~G3YVVNty={&?^7qJXEEOj3S?Y@!jJ{Y#~LBBuzlZzAI~&
zMida`!G@Dw#$Nqr+1a9O739Uw8Gn9K7KPY6X#G5E0wGhAvftk;qwollsLD4f^gjRq
z0RR6Cmxn)>Z5YLk?7jEid++g_pOLJHsNT{rN)gdC3r$5)N<;`v%1)){NsCCS5XzQP
zLiT?B1NZ0pT-Uk3=bWq7Ll-tm+hS*>$MxtYb;`DI>!5h04E2+_c<QR2EvA{o_<!A0
zqfWn@vwFWMMrrYW?BP<jMXe3l-tMGIiA^%?YAO<>n4(qbJyvXxAD!=4^;MbjPM+0|
zdCNm(9GiE1^uh+spY!)Kc`8xCbkd?vwy{t_;=R(3!)zeRc8a05R)OlO?9^pap`-Sx
zyprk^uz{4WY;mTpJjK{N9`9{CNh)V&y;Occ!-LK@yN}+IrD~Ek$DaB-KrWDdFT|{A
zIHs@jg3(r*`ggkU9Aousl4jJxliCP0?ERW3v_pb=9A@56tFI?YSbvE(Z2?j{)dPI;
zM5&DQuxyclE+RLu<M31y0T;0kI=y_t)X=i9o4flUp;{AacWJ~L9vWP`svZeYIh<h&
zA~wH>sBP1y82GF)wevCMae|N9aKF^p@8ECZAWxf=y}1>(HA;NRqUWKU;ynk)Z2k}(
zPvs-O?X|=Ui-5c^Uk<8^cA?&e;SaH&{Y1?CO$)r~3uw-fVWmEak`L*ohlzZ>M~AL|
zGe>EQ_KyTZCMsEbPvC&}FCy-0-qlMo=D0Uqr&yH9K((B%kRA0HBD9XD%;W`{L8U9|
zj;R|RmD?se^pty$ptZ-%pQ|#(#>*b3#Zni^Z8^3Mp9=d3$?s8iiyWqixlTS4Wu7Bt
zg?@++>Glx29ykk^2AE({-7+Ea?-Z%IFsIHK*-7+Hs=eFu${70v%Ps4O2{OYa=)=l`
zR$|ODjlEmN7;Rf0IO&d#ksB}hWKXhvA{L504Z1HH0Rg5n)`KIY_msGjuwety&pNAZ
zv}g$SDJRjJal_=bNT1-XFKY?+JulhIf(^mAFWEICZ-~@lxFzU+x`OZw8`-1NYXIfW
z`fq<t2g#hn7oy6et`n(#q5UVf7$9G>?b4KSKe^{@P*NFP4q2ofnUK<=kHtrP8J8~g
zlJC5h2wHIksc7D>Z|tQHI-48ILKZ#br1SQ~W#1QMrlaF}@2`5`tL6L{@?RHOR%ROi
zqx3DgH1gH9ZMz;qM3qCEYrc^aE86}mt?x<Of)Tr%pSn25GWO>}YA2~!>v@WMteJfE
zbBrb9ur98ZSr5!Lc91vp8vJTUzmVHECZrcL=|X^!-E@~<2RU?JZco5O8@Z!qYEP=3
z4qWCKbw0XwkZOj;)4hzHWa6FPoezApF;!!BZ0uAAx$ex>UR(7pl9zhhe(ItYaz5S;
z8DQ=tOM-pHd#ZZK`kCa^g*TeW_51x+<$Whf*>9xvhV+q^b^gwO7&Y-iqv+|O)^DWO
zIc}d7>j5&GdEZCVwHgqKo6Rhe>muLNEAF<{`axdd3g&;6qz?D|!n$|G-DLGJee<~W
zPf~<~+x1|F8b0d}hwdhO$Y_--C(|Q_$+?IS3vEp`aHe;hY_IPnKT57QknaCO>MAn&
zbjPcL&TTT=e72ALn$^hhIc}7^t|;evs7nPRjDdP_E(4^^$@!f$?Qt@+`><}8wF;KM
zJQk9xA0!9Lq?c@K{*iaX^DO!El~M2aYCTuj5E(k=b$KjolI#t(-oehTjGLnY*Pc22
zA_rQh58iU0Cimwzu)m2`f*<W|rOt-m<UKPv2Knu?WQ*k;J?Ak+JSsYIbuMLue11Ot
z#O<5&q}BS)W48kpLHF<1`Fxf!QuO1Al7He$B=zrQ@%W$u;_NPXMD7_UkDZjW+1R>5
z4skhOaSl{K{eo=G%isUV-t739?ZNbv<8gQPfl+ysSDLu0rcaX21uRm(1Q{vOBUO**
zqUGVx-}<onz%=Q4y25n+=Nc;D@vC)RJo1p&V6I(^m?a}M1Kl-8n5n{nxDE4n<PbZ|
zU^4M|o{asrfA2YEHp=@{lK7`}a!_=rtxz&pBHtZ;v@<n>gYvhQ*vT;_3(3SQTE%}?
z$OxIoTkPDpsa@_hj)!i_LiEmUdbtRCs_JdZcv1l`)l{0$$gx=#&T}?zv*a16OS3y%
z5}o)dhhw{{I3#58OSXc)d1eiD=WAl)25~{^NAlEvzdp+#jIrd4$PzPUC9>I}MO2uI
z`(;;Xnk0i$-yL|>OxUQ=Vr^wzCs8WPjlLslw+x8b-6aC|IjHtqTN2Vr#VPjrAeuyg
z3`9lliJ5Naruv>2#2a`^QFWbp^*1icpnx3vD0QEg`eCKnbW&25Vo6Eq|1u(j6_)J2
z2p4`TG$X3p`=J~aaJn})$xar{M%Nh>gaxVp_O}!)`72Q8(>A4`QWmPJar+k8g{h`=
zeI8G1CF<^r_x|x7a@fvw{?ubFQR?QE$UH9#70NV=uKv5MJf?aNti69ioZ8Wwm)!WD
z8YQFrV|YSM0rJ&r)smQ`D7hwT?8|ixN=`bb_V7_fIL#^bYt+b4S8s=$*)*X=h1n-b
z(+eu&=PP%S1W!5Y_zi=H<vO~Qqk!72&+MwOXL|iGut%PnQ8)kOwpWh|E!1SU-J=dw
z{qV8LctuL~nDFzmY<<f9AT9Ezffn)>xn{SRC{s~et{IW94XBCB624WIy6E;Q5MP{8
zp}tJcDRnj*QWDOY4`ZbD;dg{fS+z!u8qh2LEM0CyJ<|`)k|GRYaGEu}Ct8Er*zEhc
zb*nKITYEq2MusuuHoft0QP-k&Pz47sR2fqOO9ov^s%D__>yF-dtWB{8GOORHG^U#O
zDXej9w?Ll9_ERz(y3|9BymlvNV`~2P`h@q_t&w%i*7x#tU1~&da6xjv5#=;<Ov~U7
zuvT`PQ0a;;^`kXtJA;HFWo#k4*L;kI-|sag(v9^f`=}|0`fd7@H}mTk0m8PJ6v_)S
zGt;Bi**w4EX{$@co>DJ9%Vh^XL&exNOnTJh=i3+0HEB@y#OiJ*HQ2$U+UKxshAy=(
z;jTtfqcXMr#my&Ao$Mh#YIn$KR)_jm_Cc%jxg6CV^mxfW(H_4_wU4*%)TV4yy1g}@
zi&0+~w`8&;+hc>#wYS$}G^snuuCrer^HTdpH4Z2G*rSEF==+YH>Qs@YO!?ZK^i)Ew
zjm|9wdpu`vFDsW&rC2X0(Pv)zMrPQVeqT6ahtl`o-X43QL>2x>96y^fN_eMjXK$Oa
zMNMsk=lfj>lw>fcbfqXgD&J|^8*a75+U~L|yV>Qa3tczUPg=3!bs%@XPqhs!9Luz$
zE=W-h;^}mYX<WEBd$HlYhz;WPL!_lF#3;>l_ut<uc=4E%UC=X<hGEM`mqj&&D53QU
zv#%NXq2@IuzOf$|Q5`f0*v&`XwfnVwS1Uh~pFOLT*$BKZDlWR#!9h*ma*GUd7QlXu
z@Cyes2=Hr=_g&+esPjG|eux&p+9xsk=2_M_`GzWVJF!CYe7+L*H%0&=(&7%?53R6o
za|yk*_!Mb+ys#)`mjE(zvW|E(TcW6cBB$c`5Gh!Cyy>H%04kRocKgs-g0t+l8++F~
zl9n_&?9U*8ix#un-db3ok}J7@Gyfwo^-obW^AkUQ=D%Iu7jKRPuWM?v4TFR(A=6!d
ze|7$XUB)(_%^+JB`Xu?^7?F1@)}ShtAD8NE4hCtNVZ7{!>9K%mqEc(R<Zt5Y9xh5&
zs$Vk2MCu#OLmL+eg6@hj+ckbf*q5mMoHxP#hN{zRzN`@Yn5{yG9`j>NHZoLezX|vS
z)py-ppvThz3H{!2ejJx5Ps{sZjN^MmMfra+Lgv+mb-!%{(Cn%)#=gfG6CscILaLZB
z?)#rc#RCD{k!tp{`D+9_#eL(pVJvtXC_YE(2;%J{GdYWBBm9vQKYL7)4Y}+IcS0Kl
zAsG2`c!AdliU!Zdwvg-yqb+!dBnZKN-L--22Zq?eIeGT}4o=)W5@SriQ5ZitM+e>A
z4DoKt`cDZ1H_{kFeuWbv$P*s5+AwDTRp}a77x5sofI*<xUKB3R4LZl~89?iGm+ZF^
zUYzjYY9HAx1_QCi+H3v>xTEA^Cy>U6^@(*tyKaf&*`YVoQ)L5a2Uoj`$MYkEZ{AgI
zK>}wV(V6`o*GKSCe`H3k-g|-FNjXFcp8~n(>)z<&uicwtf+qy=RA^Mucu^Yb>DG;K
z73#xRna8Q^vJlGqxtan!WN{)>;mEm5`nYpNJ7G<gFox2aO_B}d5dXQrLGFw`hHu;$
zIz23cm*zPgJ*!;y8s^#iF;O4FnBK&pBZhDbE1`X23Yc=)E>LhoAOEDS&P<;aM|9D6
zP>X~jmQLo=)zs)iinURB^B)Q11vT#UQC7m8ZMQ0kQGJ|gA5H4?mx6u$@u(_eWmHTp
zJ9_IIfMlfSs2q{T7mtu6Iwuu;YC0z%d)5H{dlYZg+sNW|lfu(`+f=dTr+DYBaRU^+
z?>2^z9NwwB><-<h20iOe@tROWD8@$Q{r)3|c2}>54k79gnTWDrVl+a+Z%J>VI(a<Y
zb+awRR|9LWHgHwnH^Tb5=&hOg3Wy!bF$jkyY8i9AGxr)}9k<ny-^Uek$W(Km2fY@E
z9>J9s3lkilfA^hXlM+HKCM~M7wD8hh_P=kkrr6N6OZSknGIV3_y|U-l#$&eFuN#ET
zAaF)m>+rBLycUH={yJ-euRUwsoTxc2XO173%2q-AP+$5ncWvybbyhA>v_JyK^oQq!
zD*OjmOeTf3ahoTBh%>aro4Zc`vg=fld{J^U?S>YrvyZhrv#|nx=H{dusbS-0<*4J`
znz*4jx7OUz8jMJ75lc{m7*|o(&OQw&r?_s-rV&ULPYTp8R>S3}?wR#>)lpHF^0$K@
zX#JeN?oGKG%Dk%{d0D8TOMvdw@KGTCpD=x8ni|%a#@}wvRl%;86;jvV1J@PJTV~zW
z&^+IM`^S(HS`A+97Uid*;gySQ!H_DR`YZ%DiYa1X|F$ScI~oppn%o`Ss*3n!k3eQS
zc}RPi?0Mry!?QT0@82G&pxS0uB|BUeBXR!aod;-G)8E4ovAVawLm2q8QwlkS>zfY-
z)9}QpoWq(+86|6bGcIz8qjvH4+{`8#oI`dUV3$?`zw7W^_M9-xpU!$}7_IWzxgqkK
zoFcR(Im`T3IpE#8o1Tf82J4uI*KSBDfLX!MOt69v-<S0bl2-faqqZH~V?y$X^K7g?
zB+i33Tb+5RM6BxGmsgla4kmR@3P~XxC~5WWI%)&lPP3{0z$ptqN@4WCPF9?xB9GP#
z6KMR9K9{d34YgQ~=a+vlp+xShMw26fBPSOl&e%z!J3ci+Y>E+UViHeX&bP*)@-qcT
zW5ltr&HBbrECZr`-16sLvcm2B`JGvxM6r`Q#VX+lJs!=a74>bjg8BKeN4jf8aOL?e
z!KY1hD9^7KbT6{R&OIhN*V=`UY5pWgE{YCGZ8r29SuDXVs(maWNf5Wg$BVZepu<Y=
zm`;(O1=4eIP0&{W<qzu}z4PgiO5aQj*P0`?=R3=!H$VQikB7T)(_^bgV)-E@b8M(M
zwKXh=5AG*!)%6w9gI6KaA>+ImLRr4gWn}Zhi!Lj5b`Jxjx5%bknKFf3^F+k$E*_jI
zkn<^ZVFX)!hW<rAQ-skm*1vnqjRtky<P96v;BfKhiU%zwu<#wEm#ybQYC&v)#6c#g
z^5*PdcQHY5qKLc}7Z*MVtMgbtVutiSHLaI#j6p9{tCt$j38mr252Y-upbLuD{bz5C
z58E%Th^lZRY~<=E<p?%-G|wC>uQ!7H%_YVcvmBsbaH93C;Xq&M&;xZ3BYa#5U3xpk
z0YSr>HD&iXfd^UPk==$^5PVVhP?8f)ueiM0L%1QgTkFM#Fhj6B{P2?&%n5HxH;x4r
zUhsB5(b&#rh_`;PB~$u2ku}up7Ng3CTbD+Rd<zZG__oG<E{+Qxokz<!&H2G2d*qqC
zqXC|0F3LzdaKpiDU3{m{s=uoSM*Lglyxt8-j-UEG=)KGqq?IO!qrEzJ^>X#W9N%I>
z$@7AbI~{JlLU7{!((JZLA6Ir%Nfwg4==)alG|5&3*>?-?y%*Gn2?uj}_yIl$ii_8(
z*NEakg|sx$p@)LG@2zKz_@N<p`mVd1IQa7iwz%HW1IOhj<~}?E5PRR&$FS-<aizD~
zA0O8PSGI*>=&}HUS>l2@UPvLJ@POOaU3!=}SLjP)6oPoWXy8Du3_5I<3AOclNPeZs
zxItPNz0;-XO--`cto}#Tz(Eh`f&cW`-9_-g=byp%b~*Hg{Ww_Qs)zfb>-(Ohi=uq?
zh|Sq?c?j%gm9O*F!=STpd;F{zh|K+Aje?4xf0%J%;fx+`&#Fu#R04ZL@7BrMC}C_O
zAiC_i9$W>cf?^gWVRceAVcSt<geOKPhqCHp<z?ZN`%P*5YWdumS)u|u`bWQtckAQD
z9@Sh$4O!4Mlwy=dR59jM%-++XkME`Tt{1HS_nNaI{GLkc2xk5^=Cs=Yv}<RXpDf5B
z@=R~YiH#b#K41|ywR-pE^Xd;{M&!XJ^5O~8Ax+SB-DHk`V~9wvvjP|T6mY-q^E545
z3sG+25v(_iV4lO|I^Cv-tvg=ddg`x@t^R+l{+u&LLXGKq>vu|U4?QU3qo{-aw$Gj=
z$tLjHZ_u%&LK!v(ghxM?=)io7=f0NPrr>h9aGkuO0?kcF@2}A7;<RE-Nolhgjy^Kn
zeZo%_u@y)8yx4Rx`QWAHK^6<-c!|q}NUA|lu<VLdn+`}*-xdj5OBnUa2)jQ~LxJeq
zh953EsLtZ)E{m~(U8cCIf~h(*HZ*ZWhHIltO8)PKht?4Ajr_GMMIHZnw>Ld>)WTwp
zgXx`*1T;ibUaYTGhpnSP0Nqy&+}tW`cRd(T8qcLn>(mi)Oi?sgSsmB8gV~sR0p?FT
z?aFf1p>5SD%|=s&l0N5HwhaxJKSgY<UayWOWj#Y;H7Bs%+SYD<kp`ny>Dj7}YIx_W
z!24E65p1oucr#wpF!FL(DMnol{kpHyl1Jt6X6;6+!-F)iHi<HF?^MNs#UK{f0vUXJ
z%heY$y83>M=;6R4Do7K1T~m=R0j&V3*6{%v9I|dUn;cX|{qZVZi4P)($ugRxucJZz
z)7RXS+myibMC-+q&4RerSQ*QlNyF@^Qqw)AidgRP{<G@t=yr+>OxsDr)`jKGFF6$;
z#9X0rO^6GwJ+GDRC1_Axk>cm;mV;2f<^IBOR<Ll~KYe!9PoG71zcwtFMX$1UcU8(7
z(A~;wN{avl)0WB`Wo6LW9q{PX9(p9!mEYei2efC`db<3T#H%o4gZ1y0h;FmL5giu@
z<e2Y!64@#a@1}-U=ZQI@uPbql-4|=Td0EJo{9P21hWxiLE6)&X!!7C;#jUYD*XU#{
zvk1id$J{h%Q^ZtCap5&zE4&bAu+j7s!Ziz*S2J>xM5)8`=fnd`c)B0)Jo`!j#-0Ct
zymN1Yh&wVG*f?te9%+BK=l}6z?F-921T{er#?41Rud`V7;S7asLVSoHN5NX>Ng_e>
zlwkD@bBq%m$47qfU~0*dsl{Z95ar<;e>Q0bq4d$rv>`5BUpw%8&*5oe>D<MEH5<&p
zD{{@eRE-m#ER{|dPR|e#+f5A%N=zZ5yXW}QU3S!N@edX+nIm!!R`wMNn}R7IPJlmv
z4W6;u#oad+h{eu_{+uUFz~?NMb$$~o>}P5|Z7N?P2Gc?WTSkn*%o%k;HkJkcCC>`G
zCsv4xtD5C2JB)EC;X*@23o{y&Br;!X(xXjnk#?cg2(Fp0)kC&2gU{L`{7^UpoYy|~
zjM-p>TmS5ylyfp;K~jowcLO6%)0mXoKN_Oy5&J>AAtrR6$AOEcOjvwabNt>$L(os{
z>C*hggiGhozw>#@j3`I%1p4m=xb5Ja_l1`k8!b!o3%pp-Bv2VQxz_;YwF$fCw=qM8
z-_0wHjU8M3W4`As=)<8xY-4#NGlc2g_T6pgfcC$m?3$_iNM3qB7_x%}(t^&f^6I$I
zCS6+kN=qM`kJVlt7Gy<lbKk3&b{@2^5n;=3(!-VwV%laStl-U+oGEAF!&f^mcb>y~
zD9J5Ne)5wIOE%wfdW`u|CjKUKi<}<*tSzn;W#vGZ-LUgYlmMbl|1=GL)<u+Q%q3eF
zPB?zHV{QK`2&0lyU8+gC*x7VZC#aGO9sKjIW^TgByia;QaMi_|w79W32Ohll%c>si
z5rH4}a`Or6B3;7HdTkspOe?K~Q!k3aj&~(eu}KF(QZ|y42l;S-abfJ^HVN1leVXS@
z&{=IMd08{j{P;7t{_BdP6fV7ez0$tQGp_Eo%j>dM`(drw2JOu<$PAoTsMgZKv-?e4
z-&zFmC-SS+%1c?aWyl{lRMo*#%`)F~6=5hUJ<}#v`$Xo3jsx<94isMrxvae`f(1Uo
zutg;WB;_fL-#e^>k5w-dV#UP3yoqP5D?||$*EvP(Kj@(8dhOQBPsEX(oOx{QwGy;h
zxKi6xbdmJ@+t<TKBw?v}rEf-61sk=cVnbtep^)aoaMeW`x7=GsKVDHq$Gq0ML&Lhb
zmo972EhUTGIk$Qnrq$ejvb*N@0X;On87-KSl|u&v?7kk-K-PHCsb~E9@W^?#i$_}?
z2RLl+KmVqQ^7#WwiOu@h$C=hCW~%`8)}QGmhT8bi!@l!Ou>r2fJ%6ypM-exzs|^>!
zbr9@u&z!hth!V@sotq<+kP&10&SkAGMj{`d_I_mqV=eZU&QxWHig;^~PjoTyD*2z|
zf-zpVWjFNXtH3#Qi7Sy;58_%H&~Y(^lB(0WqPwanj1Vh7Ow&VP|CQPJQZr~D&E7kj
zp@xVbUROS@<^wIgadB={3mh7cQ5p+VN2berpDAfQ-1E8jZ#3T$GEbWqyH!^EOoM7l
z+sjp*oy`wzm9fT_ucuz>S88C(@-6q1M!FdPY~Z~wnLxyyq!Km}O?-E3Rb%|EjZj}R
z<LPkV@Lzjcj=d%-j3zdW@MytA?TGsV7Y+J9qnjRDYl6CXx=3nB9pT%(^$RZ3Fe(0d
z@)?~bu4Fj+D8{See&Uad4s<pM`NbP<dqD%^i@l1`Q%W$|bh|iggAEq$9Zsn3SBGM@
z3Exj|1uVxsrx!YHgD)v|NqafeF_-m8@aa=oRQqw=J(+ET2eC<PDr{;<=?Qm84Uxp}
z$Tl|j8#cJcUj5-`zY2IAx0viJ6G8cmi5h*p4cc^<i@a_r!~b-~+OX{c`0uB#XM=|g
zW>|f5-QAS15IRwEXN4Qq<<d4L{5E(`4YOPtRX}Y||5b`$#p|x$pW0s1z;<?^*5SN7
z{2zt7aGhYliHz=O?jRZ>qwo0)tIC0{Cu!sOfd!%=W%6PlI}J8_4<|C-kii!^%cSO#
z31WoqX~}Q_@M@uMz<gN}u?GTNEOmbqp<^Od_SV3<^&3<3kBcMv!I>8Cp<cpK?kHt-
zpTMc<u?rWKL?NRS5E$juO7Nwd)Q5Li<623s>x~H^)Koh}@0Nc@<liPzRyeG2UaTl|
z;<o^r6_WxUm(~!4R~#}_X;x^^?znJ*haZ7Gn`TsdN(rIs>Kk4}T4Mdkl?Ki2t2wz<
zqgU~431JfNHserjf$1H*LYl=~7;8TKr@pd^Soh)`@6w_<EZ#Mz#*MSXWyU5Ux&H-m
zZhBmI+TI*FJ=2fR#Iqu$f^FNV_B$f4YI~IC6*FvHXSA+!mBXy1UOS3JKM@F>3pq1n
z3Ukq};nz`Xu-E!(qssF(B9BNe93V`g7$fF+po0OyO6QMW{{EeCWIkdnm1Tm+yW6|j
z4$<S-9VvrOjXr{?XtQKnF~;ug%`!u_bkI+2Xx@2#kWfiwm5&cFM!xiI1HJRh#M8Bh
z83LJq5#~ROM*Kb+!Ksd4Yx>tBQS7qkfz$OrM2dySauQ(#-^I@VPObXi`AYsn7v;u?
zw9F`<{!&AvoZ>KMyfIJQ`M36KHp4$+&${g$PU?m@^S3W|Q{NoHnRp^7bbNwP9_wL!
zSYUujO-3QzeRD+N%^orTu_<E5CttH=MFS{J-jQ3@o+ISVF?*U}mKe%pKdOF5AAFrj
z$0juA2(#+<LkBeG2_32CG&LQ4yey<#7kADPtd|$dO+pumKd(=EPgU#TPVnH@$8~eW
zzOH@bu20K^<2Sp4^Xv5RRXZ~Ni0?e{Q^i|p^Z^|NiX^B1cC2z}wHB#qt?CjLUrsPF
zAV|XOrE-`q)(?|^{Z$u<3k`|1+QW>nOFXU%4qdztDhb-Waf#SB6HM09G2wB<KuMN|
z4jMK~(bbhK6ER|08{XVy#=ENBS39q2V?p)C_cd~K7(N%@>2Qb@&twFT#`SA~#pAhf
z93wq6?{5oV@MA|#$L!#+sTMka^Uq$QXF!)gNWjNvP6!`JXFY#S6EQ{mzn4fd;=wH4
ziGQ`+VD7)4JGP>Mcy39*0`E02pYfmZ&*DYpMA^r8;TrfK009606qolS)&CdA?Y;Nj
zT;rPe+T$Lp$X1k+WRpsg6&jLNl2J-U)+Zw)R7md^k}V<>nVC^$R`~Y)3(h&uA0FrV
zcpS%*98f_G6BI775$o)b71HzU*RnjYuXDdUsZ0xTuMD0k_;SK!nJWROugZgPr}M<m
z&vf82^B=ah#|61V)t4+e<$?36`s(~M2G9^DeDbK~fo~mOnH6j0V3{+e<k$lyaPK@a
z&z`~uvYM=6uP@1g(Cv4IXWp^E?e@HLHy#MU`*2O8WnDQ~FX)OSB(TBR;fZdZW+9lH
z?QPK)lmqty>V?%Fb~wUXTe2=H3VCxJMt&S}@OC=yn=+9Tm_)8e`}K=~+X;iADk(Ww
z-Cp#|tL6gr`SQ<xDiV;!e06fzK@PsR7`<F^<N+_7v#?;EByhfCr<N&_gZZ;<9P#{o
za2QudN2x3gOI*jayk+EJFq+=v-abDZ@%5=1`y>O5fp?h?KFI?KxJhqlgn*&8v)}uc
zENo18KI|+}fEy9!C0uGE(0OR6hQ?eTa%y!?a5mxLQ9SL5RgxG`oJufH=EFmUuYINk
zzY-X6vZu?0h(r2VvhnIqMR<}JF*R7N3`efqt)Z`%fX*bl;|n#)a7W;GwB;ui&{?1^
zmtmEH?-}LCyy{e-tIu&<aZwdQUQZ9x`ANg2KRY+o6I4Nf+@^_zK!BcDTO41T3@AL6
zFXb~-1ND#g#yojMV4hlh9VH_R;b(5TwG61i(B;v#hx!`u*YRYn=v6szlJvUkYDfUa
z7ZJG+cQrvKs($Lf_wpcR<Nbjyga8IS@s;j_+EC)TH;2tCfNhM72)aN36)&gXPA$4%
zMr~^Ey@-cu>125~aRPWb&<}6D*N4ACcG_W$is09LQMEEb4H!tVM)qYS=w$bac5qdK
z-ksHpHbtti=xoxs(FBlUHGD0*UI|{DurM;er2@enU1?-b3}K|<Xdy+v68x@Rb-ZV!
z1T2EtIaDW%K#6Xb(3PbG9{Q=bxP%m-=E%YQCo4wqyfN^qkC+m?cFrp=t-?W|L5sA9
zhcU!GGPMmop$JmTo^Q64q~Iu9M2b_XG1SR5Un#Z1!<^0&<wGyUV34Lse(94j96nj7
zYEP#C7TTlZf=>k?_|o2K)L{$;y2JOAQ{>=TMSH8%2`-=;9rczeFox_x`xoV#IPfZr
zP|$H@hDJ56k?4POKXP+Yn;FYM!o<rnHCHHsb6J14n8_Fd)^gWxUzdWqe4>RU<sZ^j
z?awcc<rx7_ux@v8jRYJ@za*}|I!1a1;n8I(MzEA%`7C!+3{-OUwd-=*F;9a()cDti
zAgfXE_GPpP+{L-x*mj@8>}cI?x@Z}K)xw1<ntFoJo#Ps@IKPU$OiQw%tOZaExnY<f
z&Ie?)OkYL2H?hHoi$}Qh0Rkv;DH61~fw#j;_Nme?rjzYm^eKh}!MQzmDq}gI_eiGR
zfWscvef<G@eue>LTzVROotX`!iyynk-rmPj3f0ahRqDfO3;M5V>5RZjY#;C1*~fy3
zL%!1kda&i(UuF|Q3n7Qq6S#luV~exaZ21&=Fv)-8O+-5-tamnGN$2)44bjooI~uwm
zcs|gGGn@>Jo^W4Wd9{ZTdV-{M0(Icg&J`{vx?R$v<F7*8zx>4tE4R0Fs<lBi-A&<R
z;|7WMI$_^yZWjyI5e?!$&;nIF+dEyZ6_Snp`giQ_4)*auXo0(p7QD5+qlO!vCv{$M
z96KbsgDu5`c9rF8g2kJTHMZ-MB+oNrb_Gt`m_VcP*=OXM(70&p-MTSIs@RF^-hZ`)
ztwdYA{N|<s8@5=vPg5(&JA3nEkjfSol;aX3(54Q~U&yZ7CuNh4p69*y;>#vRi@G9(
ziR$opqMN1b`8&+Cl#4|$e-m>$pk6G_CBig$z{dOE-Pm&C`h^?Wn^-8B_eeS~5o$91
zQ3vH9cFUeslA&!Ady9|ddv%WhYqut;l$O6^S^19M>7rX$zzn0+cSZu}^yU5ir8J4L
zN8zle^0qKt9!JORL^TlGCW>EBpT^2sLj-F6-L+8U^?H$24L%1}4cYL|VSyyc=mUct
zjN)wpA?Kkg)M2+8)Mgj3L8f>ZcG$&Ezd3kDC#eeF!ei<UMN1gjomsAitiM>Ov_Ho2
zN(GJ+x2yd%m$B(HVRpAg_A!<4+h^aHs6Z(hll`}6E11fxec6Tn1B{S@xTgMbukvAC
z%x$(c?3zM6x6mXRO87jId1GD)5?}YQir-(y4l%~OPT3+y*Yv2;k4h;4jm3+4ed#|~
z-_zOq(aMx)B}Opgyq6+;{NqIF*}I7;@NJn(#8aW%s4R_@GCX)&H?&AT-p0)I2kTd8
zY0zBB_rEOUco2#^?=5g^7h6%tdfrk>i{wu${-8Ul00y^$eleu&VMdRi=6<?Pj~WsK
z53AS7!|M^Mn={=9Sa@N^;@umJXi_Nb0)@0Zv}pyeEeesN<~gb2@hWC?Q2)1O=b;>=
zj8|XBpQk``EQJEsS=o@_6Z54uE;%?<&=JoyOo<q^c<vdvu_LRQojXQPWWlh^zr4zq
z8nx&>su2FdfwT@*PkAcKLhe@5H%lQ}WU@uoQsu{m0{^?L;QI*&E9^&^ZT`@q_)9Nj
zYNUBk{WS*o5Qzg`fmQc2y9|g$y4-S&jt|{?EVQSghXcvuqEU9r%t+qKeMgB`0AcJ+
z^Mgz{(6YcKNjzXhwPdfpOC1$L^um9(#a3m&=azTqCO<n$GP*c^3KK!6TDeB|e#yYg
z3&EQKw>i+C+1=j<rD7;fs$k?B4GvO?t=mZ)T&O-WD#L+K0u>JHoT=2u0o6HtiWTBU
z7f)bRY)>SSMdHvmkqjIx9Ln8@xX+9HY-4;jwWU$yH#z2$g0euCc<*>_EI+~>8nL8Y
zkwN1#syXIevhXQpdg@EAAc~N^vC4zVqAhoEt-vZdIJnI18#^P6a@XGvRb<N}_G`hu
z<AeYH_?`6Te4H2(47<YcAQ_Kz!jo`226*6SPbE8iK^#4#uJQMYRYHY0?r7B&Mc8-M
zG|Ot1K!0@(#TV+UAc`-zu;dM8c(?q9pras#Og=oe9adIF_T_1OjB={5c8*>$Hd7jv
zY#Pl+ai}5v8=YAJF=|jXXlz-+jzjdvJw+Tx)KKfS!8>VeM7TLreA_)%7L^P=+?~8h
zKw|eZ7U}=-;gBGI&-}U^`hzG326hOj^rLM+W058p-VRe{vQt0{!3jrOw1~)zlkP=)
zsWuG!b?tDzk4Mv;j4ASJM6@8lsb1Bl3op;VZp$cAMD@;jHHo7Hlwp1N7Veimv}xR?
zG`g>Z>N}hF`n3qC&?Vsbd1?Tqxb|W%9c46r@A2_aP(u^*H!=fg3?c0N{CLb0WfW{n
zSRn4Gpa~O8;qYZc5cP{ceWhF(MSD*>gpMnrwRE<L{8}S8qTW{{9jJ^{sJ$a`?g}Wy
zaWb_2v@u{zdwP-+N(ki|8-zT^A%;vw&YgZ^`10^cOf8ubVzphLecB|6_#S@}zbs+`
zHg%H!y&c4(u1izw6BDAy1H0NKrE3DEZe-TI7Zp&G#FO_v8GMM>bjTq^$pkL;S%o(D
z%OQ*Z^n2ze*wHHMdn(a=W4O6vuzQ|U7O_yQpU!EeMJ1)T*G<ZeVRN5iu2V|}W#7e)
z==APjDJi-vy%xqGbd>6<p`8>e853!`TQi9X<t;TE4jO?`Ll(tvZwXZUpY5JlRv*dk
z!QJxX|N4f|*naJ)+hWM&eR9yO&N3-FxIOG^pCL%Z)yc>D2&0kmA8qE#TO{3IZ;wS=
z8G;fsS*`qUeng!&^ee{mfaHpsOXqF{SUdZIPPmW<Vdc6R^?%91W$#+o6;pt+&$Xfb
znVhKF)Id=)niAY-l8VailHl5j=2&7o8wxUg5u$&Q3PvNPi@P5gfMn^x2%R4j@?xrZ
zH}``IS}j<^zm@5O-MRUn4X<gD?43#@5lU*HP-SEs{iFv!7$Xf22UGsbN2>eX6csoz
z3fxNC)`gyWS@IQ=1I%UP(IU+gD(G)e?!SoF1$+AUSC_rFFc-d_R0Vx1AjR!v|MJ#>
zhZzmuElpRkB<{Dwp?*r(lVz&BRICk>sz+j}Gv={yx|wq==PBVvneVd4A1%1~yK(ns
z@fbF5#x7;bMhWK^aAhPjEiiHuimi(6#Bwv3oAMedfL!lEZ)~<EKyuqw_w6(ikS!d0
z5l;c$YpJcD_cfqtIgHN#VmGPxAc^6t4+V&ddRaC9`@h}s5Ae+&hDqrxiz1)hC?Ncz
zg*Qj1I#}POeW#x~MXI77zH=>%0z7vgh==Q_L(0ix0h29rq@=zN{Pv|3aBKK0q4gyZ
zUepmN2Ochw+PC~v{3s|P@Nm$F&(cKbwrFv8V_G2v82c~Q22;X^kJ-*)IRv;e%i3(G
zyhf7t=}eVjq5>%)#GfZg0Nq0zoj>(ANH}fR^z<ews4aRgW?ZNSJejTD6|hN~TeSO2
z_lz12rqYjD6VzbGmt!)Hv`wPFdRVgX2@Mz;s@pU-sKS2@s`_6HcS+iJL#%ocE%eiW
z$}Bsk3K_%N7I&@pNIG?Ng?vo(P`bdcCcLNux3zw<+xs7oy7%@3ovt&0Fc1m2I2HJz
znatVPLk30KWP(+qOi+GBb75Il1@wrv6AC-z;PvKtLHZ&y45w4b+CNnW5{F^_WpzrB
z-&69go@WI-1!;z7O$lCkePYdtp@Pa2^}`Iz?2wcG=UnqqC78ImT-mrp4Fg&i#IFMf
zoHKRz=SGUq`B&CxA%GULHii2Sk~u-+aEQu`mLdcPQF-Wc&_kocY>6KkH!L}q=9*x5
zIMd~^GT+YtK8`Jp)yX^%pP--_cnl9`&!tM}y<>uSFSg0=#(c2JznQtXtpJMEFHGY*
zSb$ZEVE$cD01h#~IviY~08;FaUkXICfyXRvH&s9ge&mcl7mZW^wibWC{x|H<<WV4B
zZYTop&uV1Yo>2grzv<{XH7DGz@zFSBE(Y&<Gvq)2>jPOjWA#!OxZua3w3`&M;vmM~
zLK+NIfa+l0vp-h3;Wx2>UHqE_^st_+rz}>0Ek438opfGUR@tr4F_MC7Cc@_fXz>tq
z-Dlarksp3Wx;!>{FAaqOS|x>d@PMuN&=+V30-5l}8&^vle7TA=3rLE9n_g|o)({3R
zEvbcqd0Ch{JX-onS_$@QlzK`XM8Qe6<lfwUc?b>|EVMFFhKHJ8yVcvoU^Qs`>?IN&
z#GacBhuEsXf8qDH<u=4Y14rB6zMu$Kqn{H_i>bo?-mrQTUJ@4brDzfol;NlKJ4tFT
zH9+MLRSnNe!I$#5zDMyYP&B+%yN)M-CD+#VjaSmpxBZitqpJ$bbAOdyog>1VWiu;<
zZ5iOo`H=9YPZhp=aX4`Qqz+qq5^(}LvM@-kSe9(A1`n#2-uOFc!k*av_TmLOP)M!_
zD@{`a!KfNuwrwpKv@35Nz9$d40VWsLOVq$`LyJJD)B&xIHPLfv3Scw3(&_!Lzotu{
zx3vt{0~wK8nwHCW;48a;s1(#dzM7-(fsp|uwJENUq!nRphg&@<UKOkh$QU#BNznfA
zclKDeB8=~}TN7WXfasCX&woGt<E`1QKi#+@Y*6E626>f1KZmT<?v5eIR8TiCjw(Wf
zwnW{_a6H)cXRhxm8bQ$WOwXJQMUbIUTnI>(17+?YoBc8)DCTytBCsh!b&h5KuOJy1
z`4BBF#%c`il>?q5hw%_wR$^6eDhW4R28v~m7(<cVtzSB(3b0Mf|0rEl418k3<G!6W
z2H}0K%w1M_$XT@Y-P9BSnj=rED^D21n2kZGamBwpb!KOnv$#O_u5QN-HDfqr&LT=n
zz=2e3+}wyHE3kLT$xf^p0d?BZhn`u|u;(GLZ)ZXSI=<Nn_0NqUuU$f!k4y@l`u{0R
zb=o71Hppa8gAvra?dejuNWiTkkM-U1WzzLWkr8!Y3?b=EF8eeR1GizyviKKYNk4O4
z&Qf_8LP5D$-+31i@EM(Plo6@JI%i8C^#1}-c|PZ_>?{apRxOS;CXZnc*`NGO4h3kt
zA3<AtlMl>?SKb_-n!|>z<R0u(0POUG+o?fraA2P54AuLMMIOifS1m#UDV^7%)~7jP
z{JWV?X5k7p<0gH0LC*lhvEf5ZJnX>8@4WBVwTi_$G?4C})d!Yib(toVEWl|rtZ1pX
zhDDro?3cQ$2ZBcuH+S?I;7)?YUZMCJ#&<9DK`W*U8<nrvJ%?yu>cMBpzt2}OzQDCc
zuWcRp(jvHXrHc|Ud|IO2@CtTvzr*#Twhp{?EbX`BC5PB<*7<|!Wz2SLLOt`kHjHBu
zex_&kNY90T$u<=I#^hALG$(gyL1WD6!MCE@q)qMJM4n4a*tN0GH|)f;pbSxmOuB85
zwh9=?88v=lBd1y96GJs2(EFb3n&2vFE2H9S6T>_vo`NT=e9-`!c(-`t$X_Jqq#t)P
zc4sioptpVcS{mT$lX){gYM%6b@Yomw`!wb!bf2h}r4Ifs*^k_0rb%_J3lwR#Q&@!b
zp3nmZbzpPxY729nAU!bgyX;s$ftiW_I<6T`g#42$OPcB<q=g!3j`9=Z7`v70?%Waq
z&Zu1Tw22!ay`JH6^)wyDaOMTYH$4eZ=1XGIc+yL{uKOQ>Nqqz>azgWC<7yDr->|S%
z+)i3sWgb2s`3>8Mcn~ypMh$!o7kY8JO{4<DwaW_vU$K}+c;q&z3e$X|Jx7CU{`D%P
zkw`y;%`b1?wDM7fRr=_s{Cp*(hM}qeYtuo@vU&1&%!&#uDtBzK<=i6`epvH6+dhDu
zs<{!k5~%{RY@Yc)RnxF~ik=~h^Z`t62j?EntOAy0r|z9|D8kIc@+Mew2Qcqj>^+>I
z3{-TvYb$A0SYY$OS;Lh9j6UT?3imlBND{qL6dF{ASznD$<%t@^t_6f%?afq#5xXTr
zrcHz?zW=>)*=z`#VSHIC_W7Sjq$Jy)WB-6v#w2`QxA}@~KI@$S&is$_;itFF_*yW^
zTa=QkY2Pq?&WnN5)(Vg=X?)X?za9HJ@%3FS-v~DHHG+vdT^^!Tch~sEyD-+=G``0p
z-?3I9!7Yn%IbaEIu5A_W!MbEp_(!J3FyoN?KYl85Fxlz6N>$s7+1znq_{lecE&As<
z9*dC$_j6i>O@4jYabZ<_i035s?G-!i;wTOpnYvj*)W2Yg#H1eWZ&R2=Waca0|9hEv
z#j8i6gILLxiuq&V)0j5n?$rA%8SoAI`k`6rE2g{rJJ;WQ77M!eo!CJm1GpROuRDB(
zv0*WzuyTue%;UR5ylkK}6csc*XzlxssTi2`PsjYk9AcbKHcv<agALLZ(H+O)B8J_A
z_Li`hl>Qv44pPt;p^%kaJb|(Q`YfvByo?3+yIsHCB?*^)vv81;rZ5_&Py3^zE0~-f
zk7tItBxG^eizICSz=#v~&P64xVKJB1#6Px4Kup!L?2EA(jE#Xj@~ry?##YpDkHcC5
zer|;*AO16k^`?AdvAwW~^$n)c#14qV$<GyGy+%JVp@?ver{&w&8}eVziSFWX#Mk94
zsbdL4!WKV>Dt|G)n22umbumcF62fs=EMs%MFN=!S_Aw8k1=aF+F_<L9Ui161g3ZTa
z?Na3AC_$}+Y*11RG%o9A6vnM#*{e5$I9^d8(QW0b;TTcCON`r_`fgyU$_x!$_o>hh
z7j1Gz_djl0MK#GqY+`o?X{&g1X%H`+EyD*15zsRr+x+-(8)Kdj2#Q&vLu8X_KB3XV
zpj@Sh7q<C}JvX8gw+?1Ro%Yye-c=!33E(np6Fk89#Mt1MF$?meiTU9aAOut&{)Ev9
zkfWXJKV54|*$@+XB8wZD5Cq7W5H>$iAfj?}ww@;ksvSM<`Z-S!MBTp8F;`Kc{J~y}
zbaO8BNL2mQoU0&c4`cgu9W>}%n{zskD-TM2cdYn{mLSYEs9LiK(4)?*?grDBeCS~-
z!$GTxAnbKPOilqKIzeY*)T}OuI-F?ukJ$)<i&Mnsf?yUD9zFDkxG#+G0!CIInS#JE
z^GI8|l?@e5Ev8(L5ku7lwTv0ULeN?>-@YC3Z@-SZi|i^AsGQnd$#`4{X85C?FrVf^
zijQRz&yY!>u{<}E(%-@`&;Ipu;yE6q;t|d4uqlmltEq<UPl`h7wb$%E#e7KrPc+Lo
zmn_=Bm#W;(5Cc(N&yRAVf=E~MROjvE^62orZ*dt-;&7HC-6_9S7#UicmyOrq(HhqK
ziKHzF#aTbT+8h%@ne2D1*L0N;S8?>3JGC^NWVeaKkBOtNrzazIXI0RNR3pv@L>&0s
z8Xt*@mPC{%2Zm?}YUo_jc8gD+9Bj%e=wCCCMv8Sp+J>P7)DS+j<GX|hT+SeM2_p`@
zPR0}ki;2jn@#*U?rYev;t$V@$hb)@b!k^xLr;Zl&J&*Z1slkbX--Q?^kDeu6;;ee2
zfquv;M!1#}A^S>oAY%$1xyaoiI%sMlpC`$_)TWxSPI)p)!b%CfOFuDvB}@}VWfXSw
zGwMK&QA*&`ab?tI)-Yjer-{Z+RlI3h)q}&sOG?&HRnRfEFW&?zG|-eySAzWn3DlN1
zjzvhRqB+$z4TThS^danr=7h5$MBT41ITxvlj>$mv=pO>&Ht(QmduasBaY0Wso~xqV
zJn{hQMOAc`Vpt%y&lpBG1ScF4Rnhrpybn9sl#xUq)!|ZP0zD>yzd%P7CAMENTlwer
zgO9ienEg#5S(i?=s_b9By6zp8zEa4&l)q=F*A!5f1Mp5LqfVuoUoRy^5M7q7+3=bv
zRJbn9U!qe&AFgHPoZ#d_C%+Hfs2ehcB8tI;nOOz&<fY~A%my`@6zO{tpI{2_e^>ua
zO_f7A&sLQm-=D+O?9nhSw<$bUY~GI(#i3`!M^^Nai=?SL3PiSBCJ^cqWbX7#3aL3d
zQAUiAgPRC@gzKa+tU8Z@jF<%K^1n1tVaNbwPPc-lw2a|)%c{J#hbU@MVf46vgbm&=
zc{N=~G6E~^qfv$L1klt8P26TG2ZWvOo*kGqgrLTp(m%&}P|84pua*oKoT%lt&@eLu
z!Rs^kEJz#(TMcB~!*N5@-K=!;3II?*ufKrQj?KK~UrdOshN7pijvEY(zb14_0;Kz%
zdij)+1_`|sD=69LhP@YaP7g^WkVqTTZoPbfjfDA9h0yar*|+-a4s!#Tw7jB1;91A|
zM_x;Q|IH0^xCXBs4}F+nG(LIi%@iiJlhBjjzzuu{TTE5=^ngvm!%6gAK4w@>$0(P`
z4d1d{f^W9!0?h&@qo_1Ws%lyPFz>((0ii$ks91F2@msg>dwol!6~Xg$VshLdxGy?#
z;GzTXt&$zdZ*P$DuE^dXGH`=kR0yYgtv1*%?|Xd+-6feR_*skWae?%4vuz7eZ6JBK
zR<`<+!AecypLbN;Kwm>hqr9sHsp-yImSYrPUqF=LljH^|FB`{Q3N5$=>ulyC)Ih~k
z#{IyF8`hU8h;7$3A$|IS-f;pgTy{AoBU8u?4?`}$k)+Xtcmvfoa~wT%-6(!{mV*b#
z6I%R7Q#2r~xu=Oh!3gI)69V(od0_0q)|VL>4RC*4+ZoWo1iXUU_azCu@I6sw)38w;
zhF7LOm&LQd0Zw6gd4U(&Ln*=;Jk=q}=%wp5aW>dQFLs#f`M^fU`Q$}bbr6ke<UY60
z2Bx#8FL@U7!>+OcePsg?ey5i3bBwaX4I_u617!kGAGo+EA3=oE5@uAzjT{hZ^+Z#q
zM-Y4m1tdu%B6zDS*DIHDLKQMIJ)jqc$HAAp{1}Pw$jXAtHHQmI^U0=uIE#RpF6D;y
z1OeD8(Pm>dHyk%~l$U80g%b8aTdM{FP#@e8C@A6qQtVu+SH2iT{WK|ZC?SA~Wcm-m
z23}~Ic8X}eBo47-&MjQI1ZcmZk+}JT4{G8Mh1i-&z?K9OI#oab^;RvN79Ige{=*hC
zg_DH$@^40|-Vk8w@P=Whqac(zzEY-Rm4f`{d#^UW5a8&~Ec=x_AvkpR0&aF!3M_gz
zOE{>Au=Q<e_C1*huqQ_R)n1ea4JAEO9U~%SPX1K1_7#P~sn@Ie-(?^@Qesj2J`ogV
z%lw~S5QC$Ulg5P|I7p4Fq-|Is0wGh*@ra^0JkAb?&a0G#zR2%db{^`$g8R_#^IIHj
zE!kDu|M?y3A9i~DygEEK<dZpDDFMdL%biLt@?h(6H^AV!21r@|_u3>x62_`ee7(%0
z0DYrn9E@_B&=D^?-Kix77wC^t%~dMEafY|aX_K1JWTpM$^oA7Vz0l-;t@6*)XK5zP
zi?u*(dS8~gNE(>;gLEZh@u0gEEWG*8FAga+7*`yX0hx_R{ox8cFdhVD)Vu0HK3B*6
zwO=w|(6{~ea0wpB^xpCF9M*-S{~Z<c55>X2a4*kdARf5hw>OO`>w$Wcka^=G4*mxK
z0RR6Cmv=bUUl_*iz4zXGzVB<#@BJDPkwj#rLdYm8k%sINT0%b~rBaFpO<pSPC{ZLO
zduC;?pTEv^-G7|(T+eyV{W&-9&Mn((8MPp$bJXalhy~`2R9%|w)u2%2PK)x>#K%li
zKDt>8jGU9sZcSH1<M;8;6-gS<yec{9|IQL=p?1_$chpdz`RlZNoH{1<6s^%t6CmXY
zM|j*<1D}o5o<JKlP+lbMagzet-No`kE~!DHPwd2}VHLP}h<s5C0s{47SQ~uQp!ev~
zi`9e52;`Pj9J~T}$<>{4WK=^$zm9J7xFUjTBxed60pWmErm758By9N`GUl&<M20Gh
zo)IAbui;wUk_vt^ik=(&DhK`rA%`yuz(UT{ohPm;Fh4WD)3-zhT}F<JtMh=8bkPD^
zjxv6_&Z*|tN#cn8)380mfG<hfZ_7I+RFCg%o#GLPb%x5)mL@>Df?uzALJ|IS>9Wsq
zL~!UyZ>~`p(7Rjq>ME}yE~mxx8Ttu9bu0UpvRHsUTd31XQvq7hj<m*L0eF1av}9rh
zJXAGO)z~19TS4g#p^y0B;@l7s#srKd$6adOEeHEU1?2j(JTPb*@^wlike%nz>c%4r
z|ErmM|LAj}>qmX_)>%tbzSO8z3zUX`iMK(73kQyt)H_QDSVH3tbHD6oNl3_9rjk0?
z(E7UeVOpaF_84q%^mUbht?K2QMju!aJLp`gVq}41b<cjA{}scncNe~eiLgSX^i&&)
z%#pAo=I)+SQAB@oPi1<*g0O^Zr@L9rap9(8>hNI^-22$C{`nFMcJm4Zb?-MrN_#KO
zDMT3kDeoU1c+P^zkgKOhI!#gaIsIArAtB6}a&?~)XT`UGaI2I}rtrKW?)0%(5FBy=
z{daD%VsA@$zHF@t-WP?s>kbIO+W9rz(Ev7tD5bFR>6suWpaAL{1+a19e9?J(b{xK8
zvQT{67?1Dh82xSF2c`Iu`jIUh2y3Q~;#V`qN+@l)*oPm1Vv$X`@thd`MEjF>(+F9I
zk7fID@x#khi!A<@3!}QbY$COd@HwsZfn5t9J|#rUbx?TFEazL(P;Cf7gPqA~5BP9A
z@$+`C=e&?)d+@H=#t>WoW7*|b#)tcouHH`f`B1-8Tczo{0p><7T1Zv#q3FnYHjW&A
zEE69S<|7SY!Mawg{f!R^5~|@%=>k}@Xy!f7ZGil+>_cMf^>C15@<^G2;12X>8>!TX
zYt4g(qucnAQTbf_*Hs~S6?rRc^U_EE<mDLgs&ze?Ip)6)!np2W$!)-)54OLL4eC_|
zAi1r|$&^JDH=cQp{j1YM<MWpxyY33$@(0=L$!=nh_)*lxcU%wq#o7JV>;>^`_$wKY
z#6eawa}u=GL)ELW=-YFGSW%W`6VR1J@wmmsOM-ehzf`e3<*5)J`7p)AJ(t1-6Lu!Y
z5enYZWOS;}3WLGtYkchv88l2qPL6$~fIZpI*Z-&p_==aPp<Hs<vh(sLw<i>ISbEA{
zIVy^=oaUtK({f0ye{>=69tBK#!aEbri6M;P)S_gcJPKGU=On8sIBR4uIs8l<o;7(6
zj9m&4HI=eI`IdsaZ`I%DFGwIOCd|s9M-dwIfA>}nQLukU+ireGDa380;}aiKLasN*
z_XY_)?5*_WO{kED=XsBwvrEeGk-U)q$43txp*|^3m1Qy7JTyJZsftS+T3Mp^^q?bb
z$;!1&4lagjK3^o%p!jEl<}NXP=!W%=>B-5X!g=<ko{~DWzCWqTKCh4T>m=Wiad~k6
zFxcs$sDZ+UNE%tu07gsZW)UwH;Aqq9aaTYSFZLK}$GtH?=Ox|6i@Azu?77vUJF1CI
zE0x9SCkzqH>{r<mri9e7*;q=M7LJ4}*Mx5}!uy$bSM)8Eao#NUzzZvFwDT=xz1A?s
z&ZPa1d|6b`Ij{M<`<^y@Ogjz6#Y}KbC)2s)l?oi^R#k_`wb3&zliVn1ihRv8@j?ew
zA@jQF?f9%VRxc92qD9Rx;d^@XH9j@yw@CZhywHZbm;tMjtT~u=Cq3AZqlS(=k*XnQ
zZ4AHjnK-O$fisV#Qx)meQJSCVw{lqv+_Yt{i%OPAx=}%T>!gm}-@TnIw>1$jp>`)!
zgg}RGVwYE}I_zs*;w4XLfd7r5Cf5vsJ7K23-zBJHTruVBCwX;z|MYb>(HB^HY{)qk
zsE*;Ys);?hs>m@hSm?aB?vrO`l^!dv_x+asyC37q@b*<JXq*AYYw}<6zfi;0I1zVi
ziW2x9ji~6WQ4u(-d}-NS4cG17j5CKRV58lprhI!U$aGc}0ePx0cp=7l`=%WJl~j|B
zJ*Y?#2#;F+p#pu~)#<Q4X`q%dtlf=@R~K#eajf^bY3KaN=Iavheju;-#)^ujI9V2o
ztTMJ_%?NER5yh9SKTEDEP*Fu%X*JVSLNsL$(a|G>+hJv~cC*0A*|P9%9Yu(hD$GRg
z7l6^0H-5!5;K0$9fa^L6c%mL^&+p6!fz=U(izfg>zV7kcI`Wv{YCC;snhTfG&yXfe
z0XLU~q7sT6&ZVAVX6R*y0ax+-l`aA;q4V?+M`ZAO*#CoPAS=3Z65ra{5D0&Bh)beW
z3U^wi*vrD0LB7)Q)AFh%vfcIvCiY7pQ-5LQ#TX+*Ek($u*DN5*P<_AGN*p_rnbM~^
z7+_fO>uZyj1;kQfPG&t91y2cQ{7nr89Pf3fdR3d_m3mqbtGfv3`)ZEOexirZl8v;k
zpgDF8*zA_&7Dl7>s$$PmdMs`cnHPyN!`-s-TG2j1?2?QTE*PLkmc&Qm)>l*f*RrSn
z=}!U3GO_Ns;K+cC#f;zH#-^ZWx85H!&5x{!UE5FmW`Mzem$#oRHo-9+sk^ai{E!U}
zZuBT%gykkKuN_<_sP!lgqQ&uH-}Vz@#0e(k9i;10jyDDi$9$=KGcS(x;^x65W;jUm
zYOReMp`&p$N3o9w^uwDq^>45se~i0~C)fz1w|iSJX!4+|<y~NYKP!}G!E~_K5G4Mk
z!=YEXQMTW5I-AOlcE7e#*FZy5iR&LY<-m<wQ?D)WJ>tMK{c{iB4I5zpy_GkdvfL1&
zvb*VQ<ihLp8*kSR7$7gaGniP{`P2GSX|vprYQM8rmdOC0X;*!!H*zB+o@FSbo)_Y4
zdPleC>SNhpDAu-s8%mXP1(~gU;PHBu*-zF-p(ss>Rh$QYW$9;2e(=Lj@}e!<7d<4f
zJGgj1=Rr<0^AXNT0qBqI`N(ld5Ai$L7Wz_nAvXKPb4XkWn%ob3HpuH?U_485gE=2w
zl$n%;ZWBh)&+cxyuM|AoduQR%+x7E26+>U%5W%<2Otrij6x<W0O3VcFgU)K-vI4Id
zlG3Cv<!z#1^+VkhRayX6Z65n>o)Jff`f)o?VG7(#N+W0c1h9a!58ad`u~mznw%AWb
z&#T#khhGXJ;}RjZ_*DuAo=-JzctHl!m3w4^Y9X|o@Jv@LkXi2^XN$y5GT1UA=W=U>
zL1Os5%mF!^2#t6ikw=Dj{(%_gP7$axB$KF?^7!F<q}uHg8L>|a7aRD+@NS=4%m;e~
z)ZI@ln=c{5_s%7MdS7w86X22P@>7H|o!sui8ZrjxQ~oQfm4M9s&L`C4N_aLi`=elx
zjQd2%(O^R<T%t8}sNPhDT}jlOk1_?rnw1slFQwr+C?u}(T?J_l@k$#GQm}57{M`Yv
z_^&>WBFL@=AI4jZ&)O+4cKEm3D?<(vbXn7rChA}?^G{-M(*xb5v3-sa@<<XDD*hFq
zftXdv@8mu`kY)FVmu*wPa=@D;rX)@5eez_5H&Y*Fd7IaQtQ9fu*D6(<t%a=FEc|me
z!1q~kodvQIWW)<P1QOSMySwgEv8o{^o!@)Atozk2A;XW{TXhh}^FTpD)Cd_5Hd=jW
zRYCCR+qCa<I`E}`z>+9wjDI&*72*a|Ko(2XuME~jPq(c1BH08AHY4VbpQz&Yncuyx
z1-kfkOtCw4n<<i1IaKOn)gU1G1zDN8X#4fMSv<)MSw}ZKDO6BLddTVM2}51TCKa5_
ze`pQ^&Dnv_3U%liefs2oUI+dvT%+=TEHLU7y^<-Zfq3&{a}Td-<Gs~|Mr#HFr>bt!
zv+dSES5*xI+g>efIb`f+#s-KzRmH878Za}z71T1mzFt<^Z+j9r9?~}Fb65kjYm<RB
zX6h)o$5|pU3QX-}HL<hSz&L+hJFB-Ud@^1>6S1a(RuZE**rSdo2^?n{y_Lb+$v>H$
zOhwT0ptY!vI@&%TSLbk2#K9XqKTGaYu~4HuGjdlARD&l<85Z(j8WI$DeNTn@Cyp~&
zU8?9e3O+1xNCr`1x|<GuqN1F`A!~JJJ^vJ(&TTD`K<w0ikFsm1SbLbARQFFAZeD@4
z_Clg4Pqo`|^FJz*x-$w3x|JXntj28FCI|^ZuQNR1R9Iwf`03f82=b{s8`n8LEXGZL
z&?i%I|6*NJbcq6*Uyj^+Gt33PMzbG@>-lK6+YN)YWAd;MlKyn&8XIhw%QY+tffpp7
z;@BN>Ftio$FcoG-)<5q2AV=WVc9rs&EEx!L)|Us98Nhw_u<`LB0t<iA?sOlN!fM=(
zukNjDM3$UnSiBK|%pvh>1~C%2V)LoKYv(fY#_>UnVxlFOr+c(Xm&CC4%kzWtzydLT
zKeN<zJ&&CCS~H4h6F~r#vy*H)Pk5c0o<1yL0r%RCJQ?P~i0Cv7XZ4*UYP%-WZw8yA
zH>rDd(<?y)*7;P>3C<Bxe|hfRd}4;7eD1mWNCBALc(gald5+jx@LrpR#|-y=Z?}rD
z<VWh_&`tWqIf8}DYL|SFDY(2v%tLhfV7e%_Sj4zM+&_Mu$Ml5>K4}=An?K2e6&`<y
zJwA)X86W#MhZRgvxijllY(E#=Sws!}=a&e_#Yw-}6k{kd)K=Q0aDpm7YJtWTqD@3D
zr+%Fy=QE_V$vZf(+Azi?_kE36{<CFwkB<@L{Y!sJMX<w4`sgVMR(cfve5bgp(Ga?S
zPG~SzvZ0#sO7jL|29(J*ELyMUi|BpQ?z{?YIK-~z8gh&g$JogE*|i2}?|#63tDY5>
zT@SyfwlksHaOIk-g#lh&V>L+3V8sWgp?`2-L9M*Qm)tsiNGzPH&ON~jF4Bh^)n8cA
zD(60U$X*}kdE7Eh|6@g_dn<GNes=5%Fn`9<s)svoNNn7{SV6bB|5UOjC*m0*WkQ1V
z5aab^GrKJtB3~cLm1N)sTiKO`*UJ=4S}DGa|ICJekK>9P=hkzpk9Le}E(P5}T(+zy
z*fH;4t5==6&Xc33z3ojXi2Zr;aqd<QOg~QPTrA}WVK;bs@;4b_6v5hXM@|fwZkyiN
zCIGio<9F9G$ROPyJ>(4L!nYrHGdIWyf&cEgt8WQ10z9h+&2Djn&UYpD@^N8w8wB5I
zT_AyG`SB~WATP`&zWtk;6G2x!UV1(w!H#c*r)3Kt>~H_uJ9<hCBZiy1W|BzYdz;Pu
zR)-%)H0+M@no7ViL8K(qgM>}=>ZPjk0;rIjI`xc23XJ@f#%J|NaFIw<eWNajFINpY
z1*fFJkmIYoTY`j!$$8&n8-*b7u>Ag?Wm$OKVXa@{TCXSl*+H2EVQjLFx2qMD$9_F)
zB7a?fP_#KI@QVl*uW99dGFHIW*0N6}>-%`0&DI(>6@zp|$z`E%MeOx+b1pO{fvNM)
zkbJE;0-P8+QY(}oN!i0}983a7RZ*6hw<KOZQVTn>s*Fs{v>@Z#B<%a?cP*7)8rP%V
zZ$9Cnis;VMjPZ<Q$lH%a6?VxW(WUPi@kkBhi?<K=MUk<vsbOvZZaI8zv}|-2*Fbbg
zg6zg6GKd{o_G~-l;eWfln{-$cS0`e2ZYiWd_iuhq)E)&q9V{o$ebj<T4eh;`uO6hr
z3m+yNP{iki3x@H$I(U7^Cg09PA9WIR2LqCokUjV6mE*eqOAHEJaHJSu<nf2fyc}f+
z2zK*?N|G?SMRWIkJ41}7%tQ@cRY8AnVpYdU5;UcG+ponKA${W3li-`GSW@jvEB!zM
zOa1hX=~`o4a<*|gU8sg5BBIfX6C@n&cM6*jGlldnpQ;Tf)Nv>0(CN)1B-HD~Zr^d-
z42I#{lJ<5Q*b&$zXz_%EckD4Or-#jPaYnzzd`tsJva-i6tk1!GJkwa}7E8qD`zL6G
zX(Dq(fu1=-7v@I2sd={uj0f2q{9LOEHH(<ZB`zHZYvh>?9t0$JaB8vt(S%B2<Mb<2
zEsO>EEp{+dF~RuYq1<Opq{?XpoKn!hO8E;u)&wdB90Qt!PHV!r?tPJ1t11!}ONRA&
zsc4U{O|M$djd!zUgRTTBWALR1yPLKZW+SU)uY{~~jZaOC7*s$@!;#YeysfY$;-k3a
z1$Epat13k7lS3V^Lf45%D_mTp>wbAj4W2r!Oo6geNLZNLlM!kKu`Cx&(<7=F73Zy0
zDHFvp$1itOHd{f8|KyW<wkpV-DKKWaAc(Qf(FYsltgv<1T<r9!(mMAWbz6V(LSxvq
z&gc&nT1MtGGv$g{;m~W|c$^)1{de_DE>ht!^rP{bhXNell=If`GvR*gp6FnLil{<&
z=Zj487(5)q>MXuScq{GSnAr{J#;aR*?3aarjLl%yi#g(v;Fu~;0+9FE@qPQG6ec9|
zg|^I365iL|efTW}2sDQke#?@8sJ5+(fb<9<^v$hAIg&uAuvF|v7crdG(HfJh=q3D4
zD@NbDW(iuznL;&V5hy61JG9TKizvURd0*+L1=f`0lb7v;5JVkz-)!GOlq&F+Jr}V6
z!#V31y#xUS-HT0kX>22&Dk_qk-Oce_mPht&4<9~Wa6S-ny^WBF(!J@IYlh-2Qht9s
zdGNHMl{3%h2NBlSBW==UiYK{J-+x$f;iJt$&O&A<VZwNQ&zhDg4#hHhc1^Lvf$@Zn
z$7~l7QvT)WqhlsWYZT(88)n5OKI1?7`8@>t$dxqr*7Z3Lu)Q#%$b!5xm(q9U^%Lov
zqYPe>j1lE-r>g%S6JDzBP@r}V5e+<>dV8~t@IA1^WuG%6cKRHMJnBD2G&ziu3T6y3
z6iX4?ZpZ-1VRnD{v<ZT1SLcQ%KSOLiKE~d)nI3%44$HnhFh%q|@A2~gXn-qe^oGPG
zIt)Zier-JPkFeb}nr&=p07i~HD<*b2?B8XvSu<^x(BpfaX#G$hq`T4rx;AS>X_ax<
zOvOC$KGZB{pN>9S#7TN5Xsd*#k>q#dzl#L7(SXK-ay{rRdB1cxzDnq{A1`gPT_GM7
zJ!@sq)q~uP0JXw(oo<87Yn!KQ#Kn<+Io?$iv{kv^wX0brICPy#f2q<#T)I!KmY{%c
zTZ2ub!5YyOm+>|_nE~u^alxcUGR)rO*oP0S5psV6@5IbAqFOieSB*az+gjElQiJJ`
zdnkPBX(BV|jdn*Ko+E+&52K9Y0v)bhKA*KgWBnec%M4=Ak?<pAOt`d^9tT&}GQGyx
zaO`k(<{vT%9}-0-V<H$})ff^P{*43g1NS|Dd|MatTCTEN-59a0kflnqhYJ=t{PM(#
z4n*xf+%xuMg3p&~`519t2)`S8-QlT&fLbXc`Uo?+OlIQm*Ycr=D!ojmY2)3&t2O6o
zEMPITa4BFHz_I0tI##kaLJ!$1M5?gCYWUFi2a$q^%xw&Itk6P*#M9%F_t|m$!6;!l
zErhR$%v=&?TKHz>yJ<9l6P!bPrq1Mupi=Q#%j;H6^q;4Chf}$6UH7}$w6_=(H#}7B
zIiZP?XuTP42VOYObvNC$m4GRyPJx}JCWx$wa_4$J+_Ilt>vWgG)ytJvr1>;)O{Jkb
zca|TvNtYe{Gi9)Y*cUf6uYqf4*`v>H5JaNaypPvmIoP_fP%bQK;MCHpN%egp%&9#p
z>aUeYmE_5a1CpBP$!DmJFc*Q`7CW602}SJpINPz!M-$zb<HhHDMIm{%J%9eR68sHH
zERMg>M1^rfuj3tYJSxifALmoSQ&yt;rmGgr<Wj`wawOMz-v8{=4ORR)+IW4DUmF_V
zqcr4-*7^A8mBAq=b*Q@!5EINg`0I34bM=iZ&K)#J-nXKGe=>hFDf+tW{zv6J#ww4;
zh3VQi?`h$ERIIA@77|3|w{hQC=QjqID|L41V6o*e+eZyD=6+mZ^*N{rPqjx1$qXb6
z2HD=0QKumB@-3#)r%KSDovY<}L&7V^<j8YQdPs@N)H}<h0w*=QuFElGoWJwY^4NOb
zZw}w2EbFX_r*BqWNL&=CKd00_XEVeur714TSv53Y51%lKr=axDe@!-*jc`i1ke2^i
z9qkLt``2nIxbpR8Wut=$3LcDZGV9lXq`+{C*GCHW=~E_idCd@)n(@M6Koj-HX%F`o
zP{3E$wqf^gbC{K-oqJZNg~UD&twL=IZXeR9esISU35G9OUW91F)#ThB;s_b6=D)m6
z3<1*ZrrY~}XyeCh>!N2G3C+z>ln53o>YY*scdm1>qI}CtMU@UpBMQqs>!@fY*9_P!
zX~UtdNBZTwCJMf~deeNZphTx|%&Sxzo1~~e?WWZrSa?OIx7`ZqCmXoSIkmBK*kU5?
zg)-_LDK+C{Yg}38i(sK>;qAonp$|z4P|T|SA{S_lUygQP@5yLllvd^Bd{+i@zc&^<
zI$(|booTgG?dlkIK77HsR1A$h7TMQ#TjR{r>(+b1)ezs?9ke1Wh#OC9^Cb+eL2>w&
z>CvNt&`I0&Aww=iv)n#8Jz<4pWhX1%4a%Sd>>995XN1=NP)_SSE7&*|>9`ar0^@7N
zDck0Wg&^w#J$mb0Ug)G7oRi0ecj=t5&V$5atj#&?1}d&ulJD>JkV8_yKfd&a7esIO
zoJo@l6{icB?X=RQ@%nVvz%|=enzWYKu9|khWTd1sHCX~5-$(b98uinBoh06y?gC1<
z;@LUwiXx*#G*<EQUz+fbouc2r6S!=zvp1GS7<1ar$tN_YXi4P+_pfnF?5+%oK7UpK
znNb%z!e*vv(z(eeX1OibeI;P~E|>Lp9eK|0Q13t5dE+wvF^UE5W_~)Tn9K#676*nM
z8Z)%F`C(p?JIwLwu1iSVCpNrVdQo(8@*mB?BuFaboEb)bGUkUJWQJFzd%214KU#`s
zx{K&1Q|xmH5lx6;z+BRJa_p&T+652l%po3A3{~w-;kmp<SZ<gdI-5O3+mXWj*?pS{
z<eI*feEzdYgv{FhnoO9a>F>=A+J4O#=Ra&nYpR+h#2>5%_lHf;WNL1Bsm&X~<)<R^
zE%s?br0UgyoX3A@#|Gz=Beod9`eo>JUGX^KpueZewQ`j9Sv8!ov%(M+hX;NMEDaI6
z&u1<qeH^B#J{i8EBWQ>|X6mCMjy^*5>Go{`!b7yt;=e*lN7nzVXFR4(KJ6l0L+!h{
zvj%7{eKxr#59ot;DX{*(k#^$AvAxCt7X37-l})GQJoT~3ya>H+Ux_w>w5AaGJ{r@^
z2=VTt9&#c}^H^m+5F_tg+Bci^(#W|D#U8eLm_MxS`f#z1@Vt1&Eb&wi?Q?8Y-Hmz*
z{+?e^(c`Wp4&=_w%yak9+W+le&ZSat;yI1CMB0jgB4si3RX6R}p6r9%4P=PSSX}Nm
zE~kBaUZ$2--c1{6AzvACB*XaCt;I78&uH0OKQxOsbkoir&6*JWww{9)6AfR7yrenI
zxwOcw@6UN)=jj8xNvJc;ac}N_OH(YQa*ZbT&{8(tFdQDx1&6PM!VaNE+KZa{XX@&`
zwCuaL9qD;>@wizr;al<-8nZ)?@XYeMKH%NUVy=S;+}7`y{7PHiwomZSS|80#+u~nq
zgf`CPRXTm}{6;g2n>k9aH$b~^?#&y=8(N?%EgC=Ys*T2#Al@@|X^>|0B7)t%PZLcO
z!_NdQJ7}wBmle86!?eDbf8Wa0G_gJ7=WJYKCrzO8puh#XQJR|>-+<qK4K%m4T#zBU
zXs!>>-VW#ZOZ(MsTW3pC2a&=2W$@M?T7^j98B6sE+T(=_44VYhp+q&8{HfDJyRMZ@
z{~}_NM!zrh^^Q<A7#?W*>D1IqyU3iIo6t5zbBq!Yj((#GZ(7c)C)xe98mYL&t0Dhr
zE!^+p<JDDhW5aQm=9od+zLm)9HOjLz9S`yMG1)5E_;IWA+4NzWj7V`pJKsF5>QwGf
z(6Tb>gk}@%KaA2y@0&wT>Mqg@4XjpN!<DhCe*VsVt8v<qHQmpjQkH4YfC{G`C7fyC
zJkGE*LF3=U@3BW}jmC3rXH%4)61pZz3+WC`(K?v>DxH_;>MXtsI1c|(L|yKQZA>En
zXgOjQrbd|zb^ikZ0RR6Kmv=bT?;FSMnZ5UMIQBS)V`P2ahon#x($3ealvGNQXlNKk
zQdClAG8!t0az09wl*mYgsDvmhA^iOQeXjd@uKT*5@p`}9rx%h3{WYLu-Ps}6J;`3f
z>v!pmGY@IpzT;HIZz|@Mc$eO8nPN9oikrKe@sUxLC4ZlspyKoJkD-+LX}07U*`lzu
z0_3Nx-+Y^us91Mfy^g-^AG<d^P1^sK5ZPBg0P_lU@cNC<t(%)?zm?w{S-Mn&bZ`it
z<n&WVp2O;(vR@ozjL|R4YJPDt<l6%>M@k)c4%Z&WX)e<E97k7Kssy>~W?cHxcN9dO
zUa2X&oQJ%BP39}hU5Y$5`{KS*3I#r!?4o^4`N)rJR7cg!WXROwEWPo-#rk&sf9Z?;
z&G)FUv3Hgumwi@RUcG_>&EGMPGV+B;>w=n#k1r~aYog=3IczA%IGHLJXC*@JZBK2x
zB%@5utXDam?m&SBhv$QDeBvZsI`v1}2UT)-8MlOn9|da7!Lr;b66E<1=eIHg6!NB$
zw_9Td1;(Sk$BsHlk<~xqkF>^8N$uu)lXqq*xbLfJPS=zno9netE?cEZKJxW8%#T)w
zS6@nGi-8<D@isuW%2bQYt`?WdVNen7^1QLzPk~J58$Xk8qeJpIbBtV6(7-94@EpfC
zO5{OXxu-t^^vDzSoLvW?iPFXsg*N`Gq|1-ajH`tPq+{AGy7fI8;&`28_oY(EY?J2C
zEBK8`x(dgoYoXfUe0M^-Uz$qRc1y0VcuXhfOoxKAFX@7($kX_Bz6RM)ZPl=Uh(YRw
z?%yV+ZUASl$T&%N8u?vh+c1}`DOsUmvBgcz7<V`VPE+}`NvFZO5N87>nb(^nd)bA7
zDN=9E-fA7Pa_f@3_Y^Zy+>cl1jH4+kK312kI-y5yx~SDA`_+t`di+K$>WCQ{#ddkT
zW*U%EPXETd1I)>|_xyVu`Ym9wWZ!W0J3}(ylE>Tni{_;K;E}rHN3HNV=b(ir%a}Aa
zRNa2i$DC}oE56}sXbb;Wjbc`Ibn<QPO-BdPj9f`1$ZzT)u<K`Cx@Z}lq~ys8dfZ`>
zoDOR)DB7`*eqz1adp-u~mYXnBZfHv8{E-Sb*>8{BUs6*SG#O-R4$qN5X9lUZ>s$HL
zC<n+zH4dH>VUSASw<PH^j7YlE(*%R{%kXI%)A9gGCtH_`J!uTkCDlwzRnq<}!;DDr
z20nsLDwFa>v3oSh8<xp}x$7Ju@^PY!s$@)dY<7G1Yl#|3Q&;|567GmA&A!6x0}RQ|
z+A#tC7c%4@u1t4_07s0kz54FoZhdlv`Jt(E8A9Z|M}=&ox+B)@PB}8+piAz*sF9Iz
zX^QQ)_44e_C(EGm+_S{|pB70GvrpyADI;=8x0ns)%iz=;9haP^Ny_px)HYE55XmP;
zcBy4Kz^sr^YFI-hAu}T#v6LH^9oUJlc^se{ztX}`h(b!!W_eG93xaP|iB7S<JubP?
zxFSoG$R*ZyutG)@8(quWcGj?9blZ68c)T3B_GMGOYk@fW15O@MGGsxRr+U@GZ7K4V
z(s5r#r37+=+kLXG0#8K+vpXcj$<b2l*Ovn%!LVp={3QnHxuj<Pi4!D`8eHcquaHD~
zV4Pr@B7xRFukIZ^%T0<rt1(Y+lZ1wn>lzBp4t+;bT6~QDu~9Z?W?C-^kpo`gd3Ls-
z`+wowwsnlXLF0bL`+P}!bKT%76KI1*$E(MAl=|5FRO?RN2$w`(=DaZLsx=P$cB%LM
zubizup6o(fA&D*BQ8b=UR_ID}lKfWQLU>G%9WPgsgoVs!eRoYOZ10H-7f$LY&W7k_
z|CyG6qls3I`QfGD?qc{PMvf9Eyxw;%>6gIl2DhM}&6a3Z2y<AK^@sRMi#AmJE`j&4
znw77YT7r8r<)X&wSweouLo9G{pS;fUJuC7oP*^Y`^!VZe!5pu1Nu^36W}c?Osb~Sk
zeVv;NpL62cbXI1UuOx&x#sczF%n@$-!(#RdHzotm)W|Q+tw?0-qp++wLg|MtU-jn2
zLPxRkfW8#AHoU46%P@m7HEQe;7eAtVM{VCdlESXrn$E=rW+)VsXzIxnK%L<G6^sqi
z5P8(h{$0g{Rj1u1b!#CopQje=m6gG}xYZ)lTbQU^`~1+q55l-M*){onSO#_f?bn*(
zU_v{stNQpp5oo^-Fc|5U#R>!~7!{i0)QJOk*2#<E&sYk(`==aM1gRbz-)xG$TQ_BW
z0>x4FRxC(DMge2BtN-1VHHGDq?d!c(N}xQ^tpDA5MX+m5U+DR00*BH3zBcp4xx|Qt
zx|b<osJg;IF2@A%qumJ!bSbRvdiA~7R0T)qJzM`BHo^5%cDlbUq%lVAV7{wU#bbHe
zX1Dbw*f>Y4@>(r}wVmP7x9t|WGAS9;Z*PKI&(!OB56D6_?-K`T>bURfD)4Zr37)pO
z(PN9`Fs0xrnJ7<1rr>Lr3R@E-CLW)jpOlB($W_T=ISmA?oSBz*H^EPJ(&NDzMI?Tf
zJm;paiO|yrvS#*~p!BZXZ<4KqE9;$}m73DP{lND3mBs$`|4rq5CRA{9XxZOXS1l}G
zeJh<gU;^6{^N~)Csxa4CCM2*^8*-JlA30d2IJd3-wf9mA=4`g9Za<}iWGzc>)nZee
z;SejAkWdFrz;L_!bzR(l>Pk6o#Dv<VW|1Q!>UgmKNJvtl9?ZAhZR&i<gd(w>($YZ1
zGo6GST7f>+YI-W23N=Ij(hlL@B^uDrZ_{^6HbA_GYL1(QIrvwex~q9f6Caqo)^|1=
zV#g(M^Znu$kX^CkxJM`rjGj9sM>&l!FsS?czc~wh-Z(Kiuu=<tjE0@PhmCN;`)OzC
ztR=qk<k<d})<$2Ct(j+q5u|@8?~)g=LLOhpOUip~R9g^M%Fm5J<&15!P_>3>P^Y!f
zAsxsn#a8v4F~ZP<>88(?HrNwW+honFi)|hK8YY59*jjAWB)rxZ;{#Pn5n;MW8$A>w
z;An_TDz26`es*B`YHysb(M2kIrzFMJ0I_$=MD7L<pq#l-kv6W2ES0b6)IWNNczSa<
zP#0)da`-Mkql+bXtmiHq(nUb~^+zj{ft?M8+$-93(KY&NYR?;O{PH^%JT(YNE}Ilk
zy`YPdN#8A5b2RLywx-1~SoqNPE$t;$7bn+`Ian%bB4=zOw!@zVI_JQAVv-ITV_rUp
zS<C@)1~$rZF)Rd!r|fU}tPS2SEmzl76zE;8shvz>;o(DF>6fC~xa*QQC^?~wGZ`u-
zTJbD=3Sa2Z)zN}pe8(s9gaSg7n4$RxSg0&!p3yU=!P%e7J=IGVe3aqMfo?2(4r$sg
zq^k)!PuK;{LsIBW<dHe5!b0KYIji4_8tDBr)h{wEj?Zr%1<QQ_c3fu~mkLrLurfFL
zb*Kntvn%FSrvq0<onO41rl30WnA+zuL7ZK?5G1n(cpSMsb^fy&{K^wfD`)ZH?0mpH
zjT4CYRh+k>T?JP*dGC0n$%BTIJ<PdH1Xvw<fpddO;C#}<n`Fv`rx|lL&+gkHWsT}j
zH919GIJmVmgyeuz!Flx*UORBC@?Yrjkw?^jcbguBFA#f@lIK-7*dpic50St+S*WDS
z3!gQcClWY!BxV%bfZQQ`c*au(k8eDhQoK4x2ru<K$H!xXzu{k^8JyB^JbiEMTH+i*
z2JSn$WQ#S5``bS7H%KDc_s<{)=R9G>C8A*V#0r7Dd`{epJUe0*DX85!PdKPN=<k-d
zg0vs)t=n61T--gm^}7HESV0GVxkoOAuYL9Yk|{A<=5%{qR>y&Hc}j9wpC#(<KT&y+
zB#LD`QuWDqI6>8Du3PG6iG1zQ7HvNfunW6KZr$U;)ufe6epOn)F27)x&h8~h#hC||
z@3>(bT*ozHVu949-nDYKg`pg5!92jri`nkM!_I}~*bwbc*&!zkXXSI$O<sKPy+3hT
zUdJ4Vvc+=C9|}R7)$ldv89!JYr;7I6Hp4U30LD<15G=-C7~ZlI#Bllk!a!p)TnIc=
zDt|x-yPjOpK)Vp!9`6cOD`%pioz`8DEQF`4<R_n>UxMSNRQ}49OmIis4)$8C^9_kh
z`R*f%?hRp;d%8^Vm~*^L!ATe;_P6Cbbi~n-lou0t*c5H{qUp;!gt0x2dAN!pfvD;w
zMqlMjQB(6k`p~5%I2UiIy~|Y+U1t0vjAtf@Qr3Escu)iiu1+wCkU~_m{CM6D6X=NV
zlCL--3J&eRLeWp9;Vo2Ua9hy?1(B6p0r_HhL4C2nmX^gZ*Inzo9~k&DzkH2ilsF0&
z;?MZR$l=(l9kKQ)47?eVPUo_bfTw5r$g?F1_-4`?&AEkvBmPgX>=Bhj{eSEUg}aI<
z6YFZqG-AN4t>o6|q$Hjg4SUAzRz^l^$ICH62KHNRyRI`Xg@oh5$zL5+5z!Ls(*28$
zFvHcE_xWVtHEVIZNri$c{owZ@U+CyH^fIC{WKsNU+wuV|bv)`>5&Wi`4)bz_Uo-pV
z@Fc%_ddQZFyQ|D}EPv7==G`Q5rCuI4y0=^~^3}kP8}}O&1Q-aH+fb%yr-%&ZG&?R?
z6Z%=oog+*Jz8PehMb;{zW__Z%<69bREkd%L4=~WF?e|@2hYI|^md^eX)5e{_ye0Lu
z3?wD4&*f56!|>0$)2`k+XqesqNsM6voAy(eRvx54>pJJK@eN%p$ZKa_zi$E+CxP=z
z{nfE#wcF)@UOfbJS*5*mHbu*JtK^3psaXH^)0Hem1E_?RR2R>g;!=?$HDjFyHlCOs
zh=w85E|$bK)-jRr?qH#dmnMET#r%kKF~Xhn^H+>Z%y6~h=B@}28g3oAGZtcE3_5e=
z_Tdt9$Z>mjx~$TIyzIVM$01{6R@ZSc-dNx)Wu>o+oi?V}M-Ar9=qS2Kt(=;&gf@#g
z9IdW{!_v;HBfRLS7F2&e&9uVBZ5OKIM|B|7Dc;oXM#sa0K4-Hctr4WK?{Y`JF7iF!
zA8l2qgHN*eC+(FDKA7>G`pVM7t-Zb+!WWG(;H(<;Sj-Nmu5OXu^H>iRo0I<Ae9j2f
z^Wg>GoCzcsCfoM$=%Zi#KOaGJL+FIIdc|1+hh9iZWozkU*}LU8!cz1xFmv09{~6%5
z#o1$pqCScQI_s(*=)(QxEQhNx3j!10l)Jn1a79tVS3gS|h1#iFM-o{0dd@A1^PnDb
zW0Ka*htTkDZ%o7OCKdu)u3c>H(nXwh#fPIt8rYM(t!kRX9y<aH-i@p2V$a>fQ)wd<
z?0h=#G)>MPb04fkG;MWYI67c+HChFM3o;>ji|f6dt-(q*+8B8DV(po&3TXA2&gA2^
z#~w221w}&(ypDA(G3RBF^MS8UyORax`|kEfe>E}Ss&M?fiX<}YjBnQDvT*Wo!sX>J
zG(au-9r;~X6h@uP*OvOS5Otlq|La*QEXUnzMTZ5jx9j1#5*ZdsQl526yQxF0d21~9
z2_8`S1o-T#0Oua}(c6j?q=>2;W_59(%3tc~x$Qug-t72}ZWScgjj#FFKTA}$xurx4
z0otnsm&{}-VM~nQ>?xlqBJ!}|T~luYy)O0pWlkwzy+?}8d5#I9;lo&udYT>Hl=f-(
z#mb>IIWIRMbChr|XE$WF+v3H-XrxPt3~V!=ze-U3O(_3xGL}%W#mW1egvKIAKK2+&
zRTYd7K8x55^0PrrosQCmFiEsnD10bdJwiNocYD0P*c$c>ZNV%F31kcNPN<EK5K?*1
z*RGni!t%;FRmU7Llt<n2kTm;EZ1M6hO;}}xQm2<S+QA|yU+Z)-Z}}*3#J?uSCTA%=
zopyZiDnb|yYj^LzmN7=8&eRwOFIb}BpP78#YeD!8vTlaaCkW5lwj=7>EFnEVS}C$l
z05y@<wp<^ZBt{LxL_J?vK=6+FDSKspaEa)<%zd6BXj^vgpVhYjr^1NoRe3%r$xWOq
z8=fW@q8g)1u9)LqIXyqci5J60p<y3Y{}BmX_bx;UnPaY=-+4Hf2So{0asqqji8W(3
z(JPLbK`HYGd5g}2^cSlh74GFg^zJC3z!@fXsYX1P|HcjNWp|>u%Q+FK%DboaFcUBT
zrIAA<H)ucCd^42c#tr%C(Cf3NIQ-I#s`Z>3p3m<se|C}w7gY9%SD!FNJKf-lPCqvq
zu7`E!@be*}e3kG9QBz#4JTH3JhzEH|t@#Go{CE^v_h?^+2|`^jpJ_<tLD$Qfl>YUC
zsJWe1qi1S@qwg}^{;KoBDs>{KP+u4l8iN~e*E4{Sz#GH$yo>jb%QaqA1e=}JwUu`<
zkm0`VdrcZ2T-_4m8<=7c%!&B?RFr}4>2<G%PVwVh!E>qUGI1zUG#VQp)1fmh(I$RL
z09uwqH{bk}KqIxW<8B}w?FTh`O=|@)t5#e0+(HWcscYk(D$#NEnptP6iZH@=d^3A@
zO&TO6&HT$9W2io>m|<U8f@q5vwLV2zj5EU{9x;va-=-g}J8eaA$&|Hoyi^Wt+3_14
z>x?kFq*UC2R~(Y!YI$GwDIh7=QbA##5mMwVAEa_hz;4O3`@U65n65GV`d7~gVf&5M
z8l)vLRkPC6#6<<(-DmVBrVU|n{EVasq;R%Lpf6yz8m{}0Z+G+<Vo6IqZ)l7(*r6_x
zzdlkHy+tWc@QWeLL%Lo|^~u0@a83At2o>BTW*7VB4e_`|@=M=lIV6-DMz?ut;CFZ&
zw~wt6)M!6Pa>wKWPnpgiMVi<!nHk}5(+Euil4(sjim+PvVU;bdg@HbMy*zzmloz?#
z90^rMy<+gyvRG|cU6Ema?K1{f${scCt*Y>QGaA+|pbMMwz;#vspY!9811$^+dIXwY
z$DGr{FPrcsC;!l~f+OMJ9MloJZ)ae;gaM{zIHEUYGr*ZH@#NnkzYbBSRQH@Wgjn3c
zDxDA$EZB}#WFFPPrjsIWmNQ1Ud6_|V+hmGEwi>kyxtieMdF$y&qvQUEqy7;)m^e54
znzix$q7P_?&R%;$M}o56N3Y9f_)_M2TJEnFM3a-bLQNSE=!lyn`pl7Fvp1V9r-Rwa
z^AF#~FY?=}ZX>6wC5)>0n}u~3|8uF!pKB@@nE!G<F!{|=RH_`+5~eMBOK$ct*=Gzy
ze>%E(Zlg6eYHA(Yw#c0~dKZN6#4#{Q7i-)#Y6Dw|3Ac-Eedx$5`EF8YAadP2dsmDd
z-m3(jJmqG9cbdCZHXoxyEq#OfQXb%&u~1)cu>n5ykJcu57(?(Vp1vsqD%i_uSuF<8
z8y@l7yy#g12_h`pjVwG1sh10VVSrVNGhRQx>ET47nMYb53oAD(S4xB#z@gu~B6+0_
zF7I02EwaWQDoOs=_KxVI(0fSp${8Alnm@$Y-?WDfm&)%FV|}DDyhm1+QE~R$<Dz}<
z?Qy#;h<D0P4@+*H8W{MdhWEK<zyIsC$0l~czo|vf@+te89-O9#$$R?~j6d4rPu5SH
zls;{=T3!e~cv}W+w$;DC5ACsViNj+>tQJ;p->IRwm_J_^m8Knyv`6B)`+3F6H1JT|
z`3^@4;ZJ~P>oXI3>>ls-7tGVZsjd8`WHC2XgUd{Acd*bGD{*ezfQo$4p?6J-+@V;O
zzVC@(;nDTT?FwZSEWgYl$UHelOmEqJKS_#(>a+4eW>;0g*ty4!m;XC)zWQ&<mVChF
zTIITbJxXxX4Q@W$(o9g}J01M2f%o*~_x8Fd;O6f`B0c&=gp=Z_y^-kzTmpq$qq}6$
z-4<q}e!PlZz}nbsQEdm67#W*2*QF5w3$>j0@7b()(}rumZ1E;%{ndn6Njy%;7F`kC
z!ru7&@#GUVTljPy^h(VZhokj(gF=Tkw!$OQ!_3PDb{UG=cUwe2%dOu{8*F92ygt9#
zC&?P$5B@6oTp<MiU>_d;o@Ta4=?|7yqZKMct~7N{^250*NbFWpBU`}6tV>|gk2WpH
z9}tM<g~<m&x=nT+J8jtc%X<H%xJngMVXfuH-{tGCsyC8sar5apnNmwUjTUC=264jb
zd5prR&G~GL=A3aM5lg&WTfM*V!~)?{P-SlMC5L#jmBrxPX@MxY-pT%)e?+t02O+~R
zB(Z5>=FyAS=D2>T>d_ne3?ctR{%Z7-dSYlu=^@3~9N8Obfkn!HiSu)9A}o()V*23U
z&4X!XVC*hGes0?zLcMrb&VcJDV*2ni>J*<D*68kd#u%L-_T*dn)@t++;avr{)Wew&
zRQc<!SvOAfcKXQ1Qu~PCyG|Zo@yisu^77^?`o;*amIu5pwC}`9hc!d1cADaqRM#E_
z%Q51fa$oFE;{l>T-7ie8-vl=g*Sb)jj}nnd?4gZLKZ&8@!Rm91USn^)S2E)0D6#$;
zW0TLmUxe#JC(ra@20XjWZiEMp67{aGeAqZjeA>HwBO{D~>49=-t%y;=JB3v<B0Nq=
zzML+#<zm43{@VN6rK7~e-lo@=8z%^smiWJi7wF(t9-JfP#|Zmq`X2AQe~6)Gm$-A9
zbU6REx>a*?jHpZtY)iTQm#Eq|5`X-lG2Sy?S*NWUC*oEtoS3PeAtu(j)?UsxLQv}8
zKMHCSM5(Z~!7;u$!p`S-#-?6F?7!Asa#v=Opj;v@?+slb+<vY0X{Q=OQeIzlsmUMW
z6}^7AOn?*0N&A#Ff(&rd@#JgKuqk4?Ui^SlC>P8;w3d38>0@wr<vPy3zXZA|UvB>6
zM*EzXPo{`I{)_n>zy8P!alt5sLge#;v|aYWCP)ttBxU@XS^o%eE{$zn;r!qny<&do
zoi51dp11BSohRIjRw$h~D2UZ3KMg&w(nact-S<|Ta-emq@TKq@!tktrCcgKs4kis1
z`+@>F@eSK_{r-s{>WmMZ40SLOzvBLxGA<l9yUdZgLL4oHXU(P`YNO(;K#YR{51ysJ
z%1yX00SouBkiAaYpl7BXKUU2P>&DM>ZPrq7{-MB8_e~2G3H3w%G5q-2^YG)gL20Nw
za!lWPK?@EwN1Zo@2qN`~&S_0j79W!tDsNpDJ%@&Bp;%!oBpthCO3Fj!P*ND5oEDz;
zCVt$s_)ZHo{GVMKR>aM@GX|R`X~+goxru=|be(H8%oaHwbVf}(Zh(e;BQ^Xc@e;s<
za_f^0HROG~dExyZ8r(f4m6`;lu=nBV!6J8cOqD;-nxQP_`v+Z*ObVn?H7ozI{v8!D
z;=9}T?$*Mcv0knXdt@=xqHl6^hbD?l<PDv>w2<OYBucNBM~TGFiz`&LP%rhN)GbmQ
zv$2&G9Xk{e#8|2NVn`cuYP|*vt~wBKo|(Izsf_lpfSWdrx{yt66+h~&i?y*b+vB*@
z@O}SCU%+d9c$aV-3C-3++>iUW{a;d0N_*8b^wtp9PlxffSQ@}aSmms=G8I~MT8L<?
zF;bWAD2Y%r!uO3sA=^%B;JvD~rP>f3Cw6q)U1?0mx{LvJEP4uGrXFjcn}JqM-TaZG
z40I%EaO?@w0(V%RY#3>R^mpVTk2w=GKEA%)`0wI57sns*TFjj~D%0hwi<$Ux(Ql_!
zm@anZ6!i8hFtIhx-+_oX2P5uD)t!Dl9BHU7n2KQHf*fCJ&;?8Um9e)qvo}Ds+iRPw
zD@+WWZ|{vRwZelotwFa4Lu^Y{caPu2#AJm<c;K)NF0Z!Q)O*qh%!D5u#DFO{##e1W
zMkA0lU}rtL));xyf+sGEnc{h2ZWcQi@Yu;Wme6U8gJV0TU-d9>oP);PvFKlCxG!n<
z3)3O3abDn$KOJ`zqt=jT>|y3x_PlD|7(E9@eCs_7aWCkJxy~{N%=3tJDI^+$w~1e%
z_M|T2!#o)-%?@Dq4_`d9m@EB%C~`NQq(Ob>#Pu5HG92KyY|1S)gwTH$_uHb>;h`ny
z<{z*OtM{@RA~qYK=y}1uT1zE7rf&D@*|7|R*=tgBYxSVHp-{nhMhdqM*4V6GwhT5R
z0&<&qb&>M<b;;JRLZB00?m5moV1KGe-G3U|SVcRmST;USyeOAD$dloKPN|F<1!Ee1
z2W^xjjQWZ0L|LLp&jIoAy#8;P8VH)XF(x0>$X3aI@$x}|J;;aNr!)w4JoVxfk5d?B
zXOs|q7c>A;K&`**;YQgL*jua$#Tk!R&!=bDj}$Z})330=-qNe8%cq2Qr;kOX8*!4G
zVzP=P#95#x2C8dcki%GA@9y4aZt|ODH)#?Jw06Z%61}9cy3dx{dy|(ueU@_X03Q(G
zFIGhNmO#(}FlyO+WS`4cmGu$?zP*y$_sd8G$0rZ`7rTL<G!oB!y_aGKp0|_Fn)C&b
zEA4F&lf+MMJ;Eio#>y5`3)jvYWOAd2_td83<NRb()=tH{TWzrUgNx;?!~(IgrFQ+H
zW&EVQkzNVUIcxk60096043~E})qfPn?LD*i-uH6v#kGBpODJWfp^zl2w1h}T$*vHk
z5<*5~RAf}&Peu_Lp`t>_o=N;je*QhrIp;agbI$vm*BM|L;mLZjikUP&mOnSkg68LZ
zBg&c#!8x`>F+_d|E7mp7{v5}Grjs8I&@mgrK+qocgs5?>U4K8+DX}1W0d0l-dkw(k
z=YVw@{TD3kz^lsh?aW9{pgxlSfj;~#f4A@CpXZpZN0*gqG&7=bKYd@itOwB-mqtaT
z-r+p?7KrA!?N8yFEVtJKQNA?tl}7_O-}Rw;?S{<ggLqL+)iWx1{jLKkg)y9UPbc*)
zFe6SPPpYpZ6(*eqy}I{L<JwA1yH9#CqsIqIP)vd@IL6Hl$}ukDS|^Q9oqEEI97f9o
zKW*wj@N+}6$%0=vBe#Z~v<M5@;hV8c2+{!oKV$Nu+zQT>>t&gf&w@gm-|slJtPRgS
z#@3i3R`JB;5s!@ntcd#MYf5;aHjrjtSxUA1ho?w0dKhW3A+?oR59hxW$n_VRJje1E
zznGBde?^lWx&6#w*odV7JsbCvblN}sX`}vC(E}W)ui;(zNl^;86^^!9(&&(_52sde
zAtyR!A=mcu2^n70G&=qErAOuAIbx2A+{oR-%!AXK4Ekfk9y9kDP}0e!hRhBg6y(sZ
z9Wg<Ik|H1J?5~XI!=s=!OD8_Gu~s&`Cy4~j2l6|;3CyUa<q6sDFh9y=`)l=rN`j%!
zQYbNn1*sm6-D(Qmfn+${I^{dGAR)qK%#w!<u|#BgDZCIsJADS#qKvelJ}XkR`w=^8
zY)@$X$0vl6g?psJt2M!EmqVGy5l-~+<<RTRcwsa%w)3kAXoB5%!a9}0jl_;J<a8>C
zqUNCBKJft}R9{dJNh0#1xH>v{nPD+B`0m+S=`|vxiJfO~DB?p2e%*_aNCFw|oA&6o
zAi@{ylIfvNe)PpF_r1$oDa4dC@9|WO2tOnDu%6`>K&Nkoigf*wL2n(-xOB1*;WhR}
zSkhAv$t|_+vrv#jiDwel8F`6N!9H=LsaFWONGwRSxyz&Pn#8{Ay4(Ikbt47tA}GGa
zvMQre0qtCN-NzeF1f=~#r-4ljeV;Z+trt{6`|jUWyfI4zcu*Ml`hz%XxI;gk7^jTX
zT9i~yUeg54Hy^S;luM%G{OpX&9I8krH*?E=uNHVIct4COlSXGGWS!@3tD#cnM9xG-
z5{T}PnRoG&Mb#{qt7cR+&^vn<g?Fz>P};F~Tqax&vA=hJ#a>51D{4W6{9rP$jf!Rc
z$dyO;q)#;wX_{#IPS%!~0|l@bHy13r6p&sQ-SWj3T4<hMQ0~qiZCE!G>yu$rLMvOr
zR~2JPh)ZKKt<Fye?DjbnpU_iAn(bAcm6BvswsCEku|yYk8S<!$`>3FsJN^X_(#c3^
zqT*{fryiK#b2}Yxsv_Rr#SFnIGAh2o|MWtfK8%VGgsltIkW1(42{C>OGVBT8qa|qw
z%565|F^|*{B`RIJl7)f}$X?VRdTj)!TaC_Bu4y2T`l-;CCNfeV$-Dd9%LLRnD6YOH
z1f)@3V0girjH+B#jP%(spoQw6d;OMx((-;UB&CqhijP?91sj0P$<HFVI1zaz&IGGi
zYN374e++Ulnt_k!zYiC6h{$efk#L=bh=>JWqW<KYflH})_$(h0rEQkE76z#!hjW&d
zS_B$+7EDgLl@ri#MSsSTCn^Z**SpA{P6O+24+$as1XTHKJY2I$5jALW8{Pd*gRtye
zXKf=5R4^}8!rv!{tnNQDh-5a0&;G1Ui4=82at*4DUX((~$v2M5@R-BAx%ma5Emb60
zB=~a2HBnUckx-zrP6G|~u6F-o6;xyRTtzWX0R1Z7TWI=$2KS22+LRb7qX5<{<tH*c
z$X-+ZeM%w?B;ddLzIsK(auUjt>{*c3sz$|G0~+)>?%=+ltAGsqj$LeV+`{{nmNVA}
z%-}?gbp^Ft4mB;-=2lw##z%5`;>H5Zfa6J&Gt!bpD%sG%lRu8HRF}#gVl{)VqL0%;
zAyUXjyjyZgwj0O4@RKI*02n5l?r(V}j(U?d7ZTJfvAP9!zH}9Uw1n#>t3slPPmJ&G
z?U^1-omkveeFlRTqo`Bsc|xeE@$Q!QlR-=~DJ3lVmMJhbIQV(G3m^;egfp8}BiL^i
zA6coFCa^%*dt~<>eiZb=OYM8m7<PZwqC;=m7#2FNuL*bZAgw!-@4Obru(YJd6Hd~`
z(D&udWmOMORQ84-Y3@IUnYIfNat;|m^1_;pt}Pqdn;iC1kuZui*~wlOylV)yi;u$|
z-C#z#q^8_*_a9ipoAKf6Lk1AZ9r;aHnh|m2tX?<t9mL!paz6N^VE{$Hp$As!(53F%
zvGXbY*w8L>mx{~!AkTE8c1h(Q-fOq2nti$#v;L^EbD&ob*iK&dC467UZ!rxX&$Q{l
zejngz7bNQep}1i77sDE!WPaIwqM#8A9-RHDkV=I@i;BMZ8!Nbp!@+zXji=bz`)$%)
ztGZD1`O2Pefy+2)t%vvYS~RZSV)tkKm@dfB*>t6rFX4OF_PDvPR^#Cb>hBG^bbw3z
zr;x1nB7Q@bwW`{$8E@729+^wi0qW?Jz@())oY3{wqCln-7d$&H{9lbWa3AbBLRg-`
zRchE-5*>Q+G4BvXDQ#`o2pWIc=QfQWZ<9@4rt8P~s=Iv_D=2W5J!`c=Z3+*2J0PoA
z@ExDnp>_Nqg#xtH$JyDtCvn<=K@$_DAGq}Xn7{fj$Y4=zvm>B(0)Hjf`&KP%6px8L
zWgd=^A!Z{-KjF*-ekji2)v514@y+%ngB@)o;QC4qIp#fqf8m^MShAhOZyDTs{==CB
zX|8McZe~v4lM{>Qetnw8BWWY4)t|M%``t&?r<{{`RV?w}@})U^SgAO3kX{QM6nN{8
zJe|a|AH*@7kYB_PUg~L+p=iRZPnM^cZcgDmY{~<+nM=4`wIS8RXM1m(r#<?cGmSTY
zthEW#TE>aNIwGn01Tc}|IN~umgD>hB!_?4k{1esRB4=C!I$U-%ih9lAd#gveyDR_T
z-2)rVS2Q)iqj@^6L1F>-|1&)EqIeD8Gkg5DZkReyHqICfUEA)<o2HY2?d!OyUq^C%
zry6`eoU3<hyN(HwJ^h%>CjLF~TDpvy8pOozzBJkM3!hG)dDIkc;qHMA^MP@y!1U1n
zfV$>yT$SGI*M=@VI!aJy7@Si9{em(9*0L46M|(-qww3|8$NY1Rc2<FW9-o0*2UhV+
z6!F9F7!#7|5Y&0prVLgad%_(w{=?M_(*q4DEGTGH=Fm+GWeEJxB}E}^;D3}n(l@rb
zMVIsaKw*;-95M^{$@bmEp|>S?*HI1>D{<lI={-sin<sxL>f086?d)u`Y%>>Xdn0al
z<(ndiHBH9LThSwP>Ez83FJ9F9vxv7iP!W878@HcpU_gnt8mcvv_)&^R*vURoMUYAy
z=?FN^gxv2A9_p>zffUqEA0oX|fZNU5|7wUVC|2J4URkgpiWo4rQ@El449ivRQc7$n
zHRHRx;!$CQWE?#_Z4@AmL!hB`F9$k#Id6B}1yR)Rxo*IuqyX!t9~(4ExljyuqU~nA
zI2w+`Im7uC;LfW?-(MEIh~ih->#Z+^nxD@^v<fId%`>6U2p)c<Lsyq;G$(`1!p3N)
zwYKx0Idrlpa|b#f<5*sBS`LM@mlb9BD8Szb@vQ-Ng2;Yr*OVKx0(zJ1X{p(y0E+Cl
zXKmDkQ7hBp9^36b{r&F6!eJ{#$dGf^^&yC&x$J^2y<}y?X=7((w5|w~>~e=69TrEs
z{#IptxT1>mJ^gfwMwFnd(B0LcN)qw7ZJ~Y1>WIE?)7Fb!1^gwu*r$wTkR~JF0Qorq
zQFhL_c?YWk{agHj$C@k}oX;%^oX|v~rzY&Vsp_EpXe;-Kw>*kYt^TW=OhR>2S5DR1
z5+G;2_3Q2_1@wcx!@jwQjIMj>FUh{wgyd7Ei-Vy`Nc2)@ibNF!^|Y7#dGeVA#;s1t
zyF^sb2`9eX7mu}(bN7!sPEiynpUS?*T%(GtZv|0pF6*Eby$IdaV>(bga#5$uNgeeR
zb_w#y=%PIz6>4LHsBnTms{hZ326`0IWRMW0i*hz@P}OSm;eu~zb@u@xTIu3H^X#@R
zdgWH&kt$&XOs_qyKILkn1Gc+=#yaYvIC(FQPst|0@p-gmp+*ZOaky4}DAhq6-5U;L
z^Z+<>`oE%`Boua$?{R0YHkz%TA5YUXgE#CCes{%?kYl^E+GBkR8Zq__*hQnk-_-y=
zk^3aXc5621ZOC?9c+y5F*&MuWdk<cVAR!fv3de{=0*V+arhoX$9QJV7D0pj=kZ=yz
z9lWiI6u9@BIz(6iAA7;l@L4THb$(hdC8~%H2nBY`_F4cru;wpCNfZ5=?@jz;Cxbd4
z$GxfgZ2=jYR%XFB2`JL6^d$S3Fsi-3=cV1~cAlVsX8PCa$kd+aB!>qNl6f+6rKivW
z^8c!fL?Bf(sQvl$^A<XEw8BI6>23><tvuiGqCgoT;o1vH`D1wc@&)(&UUQ(AtUeeU
zp@^RUbgftU{sTM55P7S6uQ^EE{5BwYNFLQOw?DK!zJ`_fT9?vZ(cn3K6(!zC7Ij@d
z*b=180M?<6-r1@&u(S)zQ$8VysIQxb<EmI-I_-m>N}3rIuZW$y7AuO9tXJ78f3riP
z(}YeBgBi4>HY`a^2qMV&dG!W?3j)nP@FWBQyl;(fvX19RapHz2urzL{4H>U~IgCL*
zrYYV$%!OzMfe{Z}c;KdI%dP7_Ou^ofVW3T)6`d!KUC$`z0haW(s;mVQm@5#eToz_P
zT?d(JY$|x5{LI3qNDdQtQmym6c4{40m*gQuUE+a`z`HBKWMiOSoQcUu`-N`?&ZnMI
z-L|*n4CWs<f={@<jf>tm-m~%QdT=W@j2Un+$>kVA;XIGSzLIXdDeK4!4u5W#xb$F-
zciaF<jqj*kQ>(>_m!B3`N^`@xG->r>9RnzqSUwfg^cBmh**jABlMA#b<0MTI^+DhL
z%l&Kd6Br9Qo0itf1rk~NFHooS;8cawvn<&~Osn1c?#B);pmS2q7qis^-ZI(B4&mR}
zks~Rw^J`on8Wp<pYAqEy3)Od9*Q{dc?;d|i*v$>sxJew!8dPWs@7U8LxPh%FP+#RY
zbA#>K^1PPZZEmmp9K>bx53^$4lz4xV2c8Z351PyB!ovL1MEy)U@U_dEu`uNYU5cDg
zRGtp(2(7wM!^HsX)ao2*89s1dEaVCy=m2ZX<exVe7~u}({!8C#KJaY4WU5`S4H?Em
z*u#D%c)`xlcJ~B7IOwvbG}~!|Dm73N0~Ro@&vtPj?f|d3&mm6J6tGv_Z$^B=3IVU9
zi_Cchz|K)US|E`E)`fn*Dizrwc+ikcWfugg45Vwh%@ujn<-CuNIUw~Fm77jR2m&sb
z*_aKJ!TVslp{qF;oPR6Y7Gp0Aq=QP<r_#wV(*0lh!V)+9x=Z>{lO+N!LEo&+9m!yv
z+|0gN%L|F0P7OqJh(UbbvbeJd85~2Ws(m{7-~r*mwT?7#kQ;vx=KPZc#S2}<E#3U^
zryzR4%~TQ&)GY>bz9Iqp{@B3#KX-t5=waJ#R%saKHZIziO#;RpudnXp5`;$X;pEUI
z8OU?YIYGTn0%-@Sk6czlV6(RW`J+u)xO_UozCV@(kIk6x@!b)I0=F8L13Tp5O~hV}
z=wuT7Efw1|*%Sf!lFD>dssi+LO?&1PksxU<%gHQM43-beer57egqt=#?bY2RAf2CT
z4d9W0KIiCJT7eRzFJ61<$4v(6AoogBtt89{R?;WUD}(X8{k?OpWcVF#aWdzUG`zPs
zAzf>t3aPg;F2yvGLG;eT3vV@95Pih`y7HzPY^c!^4w_Nm9!taX5@|Uos8sOYJERWy
ze!HvwUnro3c@s1w<-spEa;LE}0ZMmPyy8sI20x$h(ghg>i0L|k{dFP2xw@M;+d&=J
zI2$PBuc8QqFPP4cP)#^`z~E0drVFf_ZSxnjlt9lw@rPcJ7TlX`3^X;Tf|A_rek~nk
z2w?r~wNsu14gN{{Y~A%><X)n%ELjE4jXp?>^(TRtU$h)cnm!~hozW)Ase-1TTls@K
zBzRurv2H$K0Jna2WOn^ig{0%nB@OpUKx?jF2qPLn%!=ZGQj;1yEk9}@6-0vSh67()
zV~ioWV<XY(q&lb^8~dlV{fGZra-0?&Gy%ciJhRv5w>j>WUT)ZKEjTRvVrQ&61{|^n
zdMB+l;C{W<HR1{paF=7eXUPD4w@+2-2WdccIemkt9RYs%8bwLq0Q2p|W7z>3pnSyj
zy|Je{BreJkEDg=z@8f-$4cIn6$}!eD(^P@YT!8#6+YC}}l%Jm+P=^TH<MQL{N-)Ei
z@2WUw24cMlBw;IcIGI#eV3VT&7xwKu8zx7C6QwSP-p8uJ$h*C&y%uuty1X-_(U=C<
zI(j|xP!*#4BEG-<B?Z&mFN}DA1{=W%z9;Uh0Bfs}<7kE$7#cs;w<XeGCal5tL#Q$s
z^~k28R3UhqPwyeXN`t#JPgZ6tCAbj5;Bjn`A4J@6>s?)D5Z_%BKE$F3UZ1*B?Si<0
zXV+%dTA~@8rk}+=A$cI4tHJ-yvcfGvJtqMZGvHB|dD{^x2k(Sd*q)g&g3jd0o3`Ts
z9B~~^%LcMwtYFU`(en=rGkC_tnXrAwFK6vDVwMJh`x9?>K3>DfVM-Fa)d2zo!8x}=
z0-mtP9I^YcjEQp<dLB-}VDuGh)s;(PAm5x&26l^>avxe*Z8wE2jwOZ$UlE{YTiszx
zpTTNZ$_3rnO+o9)F}?ZALZI|(B0loKBsSgiy==|O1X`wdQ~hfNU|d^r-SX}@#uVn)
z|1RDbIH%Qw%OrQeF)o2HM~QJv@af>W;7%h@T9jjSF64uPFBMwjx#QT1@OX28m=T<g
zaJ;y>eV=rC=}wpao4|Oj9<{D}8^Q#$?6QX|7wjn{$N4f(W1hDMeyG(Oz}kli*F<{`
zU{rV$>7PD}`B_`0un8DI+k&)AUJM&N^_1fsxwU|qRj^%7KBEuk9g$%11`Ft0FEcU+
zEny`&%$Co(^k9(9(K@+=8B~2AI)T+PwyR;j+>NRS3u!7xkESw#4^>3UOn(K_yMsqY
z<WNB%kNVBJlo5*j@Af_1xrzlQVCNZmsqk0X!ur(;102jdFIndQAEy1X?D9aAF1Y4z
zT3$TK0Nj^j#pEhBu*U4~wX177;QZ7jKAwXCmfLrqnB)G3<tzFAak!uZe*1j_4tLRm
zbTZq&7z;Xx&zR62Th<1GWVu#l9X&kG)oIj9r3dv}NBPQvwP6(V=&XE44~hK~Noa`y
zt~SaTJl~?g+Q*L@-&g42f`1uuJ;4NhE!p#QNfg-Sfj<(kV1Tox=Q)BGnBm`uM1H;`
z1^$)aVoR)K0Oi#yd?=L_^m1Aosw>H`T;yZkYr+Vv`-d0Q9ogZ9Tl}2^He~p4WUIP&
zk`dlA%x#X6IAOPW#<|id61WUBSvEao0-DuHD_aUToNjJin@%D@VcD|;^-N|E=kPP4
zJIo82Uzi*0bxGjqE57*k5etygRhNeP_~7$2oukuRE$B6Kdhw@=6`q*M|9LI61GGY|
zW($Z~V9!}zG9=9oRzsy8g{K8Ta{P2z&_hkI7jkwtP2m9Ks^d~IA_#I;M(%C$n(*{v
zMA4cW7i73K{{0gm40q+UuYZ3^gt~sZDZ<P)SLvO(pQb1Zl53MUrS=ga+b!g+`e$A!
znEV!<@<$A;-}svuF%w~?)}mEsjStS;9aHO>k$_M+Oii<m0G`aWudlY}ypLrihlxcR
ztls9#niLYCZqr*d;;;a`Zt)Z`R*;1WzM52yOahz>6N`QGR1kKGgy_;8l!MB{S^wQC
zB|uT;(uX=_VSpd`jYqTO;qk4IB<vdjgzGy4F1-+eU6k08l{Ez@HB6Ws&?G{!okjGQ
z6JlT^su|UALJ7zUd5`WE5dnQY*JnqOfUMe*fApiukY(CB!D*`r<ddgp<C0R4T`m>9
z?ym~JXAPS;6ty7OiQa2VQ3jMN)fV0{sDmi;p5QhS5~S_^=yfMw7A)s(hbv}kKxuUG
zz{ffg%ox2Zh-#FBeBb?tb+n1FZk8v1>M|K-bj1X{=j0*(%Dwu-xF(bsri~>XqX7HS
zt7*?=6rqR4Mdg<u!Orwm#}prJIJ9fff$pFZd>RU%&ub=u_7w-|rBogGuc(Xk`-U>)
z)I1OiI7Ei6@cNeNAze6rh~0tKpaMF_EcX6uBSVV_I}>5A9`y5{-zb_^1<$M`-9%9e
zY?@f3s89NkGB5U!lU^Nky2m}AP$_UTswpWe&=7hZ4|G1-RENBj7}jYS3Y_)l&1RD~
zhCSY)qldp}fc<n3`?*ds^k<*Xf^HMYy);xP7f%3!fNg3ojSS5%GKz@77^I$45{qFY
zg6%;i-G`whcq_4y;&T;X*r#5RYEJ~Nm+tBQE1DovdBg3#ff*D&xt<Vzgb3=@{g-Z}
z5rDxjxP<n_405(apZroGf`gPn@wag`nA*7YJo+#V{Hojyt*Qthv12OzBa;fGRW!%5
zZ2ujRU!Gj=WhQ{@G5TWy?20fbFzrwHM*|<7uUSUY8W0f>*eAgw2a!o^M-`>bVPs|1
zM~qn=o?bsUsDDTjO1q9^)^FP_&u=`4Yfy!s>^B|m%nJkd+<q?yqdCkEG`ih5ssi&k
zg&%G5Lt;FyAZsTL9{CQHM*mcTxXq;SISMDZjwvk&#nOOJF9c6@RRlr5pH%!dBlJ#N
zcI9f(V7E_gtZA1#6iEij-ga2Wf{JWoKDL`dkeV2m)J{3*cWS)%=E4G|uV+uT^)Q2V
z^M$<@*JMCPcX%ZE*Efv!Xt;vvGC-TE_poTDB*0hO^%VJhj5p+LabMK7OwvO7IzNfQ
zY9sIM>iylg8GTfv9v{GN=hAeVkq9K;+Y)6+8^Uke%Y1dlF!+JU->g0e!muSv)x*>=
z{DkX8F<TE)*yBaoT)(jc94ueTygfgG%S2iXUQI9oS0`dMOB5gUCgrP?w@>0G>CT!J
zHO5ffnf3SUPHs3ZZuzipWfGqs0aLX(BT(10OUxQ)hlABEi3`+8+_c^zl~L6Qp6iA0
zhG7=?TcQy5pnV*V;1hbN>T3w`LFe|rAu<7hZ8|n&atuFQey7sA!T`LaFP}<krH5#?
z@Fl0GBe-J3;#Ab8K19#nO9(l#g)suZ!j)aa_?;h9Hz@Y{;E1V?Juce793MsgR7?7b
zCvh3N=@jV!*Tjm=m(y$5mHTB5q8C2lGCiSf7R-7;Q7&*!&0WFH54Eh-d3NIqk44@n
zc~fEVR#(+u{bg)qk7vlWp%z?usqt9W2VK|+_Jlc=B`k?|<J9lS*SMgakjf=}UFg({
zf3}ULnB;t~#o3`kJZvC8`+A`c<oa~{r`I=wb;*t@P1oGPs<IQ;OT=|x%57YO-en4V
z&E5INS>^>6Sal=3B1Id5_}<!_ah$+na#!mA_BUepzcbT?aA^bMXJKiz(w|uAmU8{V
zk2b8w_pbYR0tGTd#PasJjbX(<`HqTw?Z)<L-;w^tMS-Zh<q&ps6r1<H=<?!OAC|<d
z`UguT1Cxk9F{*F`yYRU$c=>8Sc2p`o?LToc92ZF07os(S@f{SzgZF>O>M9<&{3;*;
z<x+D-=F$(WZ<Ojxx;u<jXx=dtqLM(cw9k+@^#l9UFOZ&=I)XjoCvrVV)`IBZtH@)=
z2==P$_-BXAF)TGY;fF}QCZy-*emdYcf@M|`AO5Q!$Bw)+r3;xM!fJ`uzTfjB*v{DU
zzsFZ6vC{N8g@<xPIMCP~Ihi$zS!RfG#yHJjg(r4?3UDO=bJt|!?T|6ddM4AMynhaR
z|LSMX=PV7-U;OldC*mjOf8rh)w_L<rZ9X|w|5OJ<&nFyA72}xUfO%(V{Ssz*`iAc&
zSsij$=d|8)Ph#IC{Jq}VE@Q@ow4ki3YCsB{x3j-Dg@tXr!E%{aFovA|wwnX0;GDO#
zEPH4MQ@VvGxc>NqjkM4-KTuVnkTuKn`0hC@?)q}+!>KjwU8p90C_@Dla}o~?ZtFRq
zOZ8y5{03Gx7AIo7r3~+#Y%grhEn-*&&!M1{O)S5CBq#o)GR#-qv^Ycig{c}F-?Wsb
zgD3v`4cxvffz^Hcw1T>2Oje-5S3R8`lxxb#qfScj;$?#Dyz>esasU1Ke<VgwFuYx3
z|4|WEewmJ~D6C?7kp{;rR+vD<bg5-=zaspWQFHz#`5%^h`52Zs!2;9}%WC;y1z0jV
zb)33u1B;Weur%dlhdHa$K}XLi0FPS!E0MBItlR5}{OAcza98yEV9KEYrnfnIudC95
z>8w>Z!zMTE3hlXexkMfc@;cs7GwI=f00030{|uLTG!zaH$KCgR<jk>aS-Y0C)){uz
zkq$>X$W@Z7sH9XV`OzUFDvBbcD2kMd%1)O;A}LZi%9#i`a{v50Z{EB&^WJ<v->>A>
z=c^n;q@d>SiatI!0z|pw?hQ8P1=Zu-DGBq^kl{9P>8}U@zBg}HZ<*$U=-$2iu2;yy
zmJF3uMfIAXCL23+v|j*f4i`09WXVI;>Xz>fnVJw=^wj&YkT9GOs|%F9s{p4=L(c6!
ztO>4UyW@Jkq7ZiK{$`;`CD_>Y&v-OY6HIo#WY>+0L%`6+xbbjR7;PUfcL~vi`_;5f
z-F{NQQ?>Q$3934{{B&bTBxu6cziW3}{E>z%;%Yu|X-!y{2nOEIHGvSSu~s)v7L?0*
zsvngQ;M}zl3z{kc^k018^NyAW55>ahf?Zmmb6&F5IfnqeB{vd1Vimw^O>X9#gEnaU
zSKo+sCc<jbL+?GymB5I%g4D5^43;-)o(3|t;Ed%ApMtC^)bd=d<nyP%9;zBw<yI0T
zZeG15_PQF>4ol6fy`l%as;@-<z0!ujf=Z7^_cWmWKe8^NPah7gYD`%lPll`Oi>t1X
z31D7Fu8Yg2gVZJMaM>IR7+!k9o%w(W<5wArp*4m;srz}3rA~v3#?BcT8%a<wTx@IB
z%Yc-|cGew1Iw%-eSB)%a!{r9A<Enp*pgAB=M7_!o9vo6E(JdoGwC|@JYAX|B=Nkp8
z3XMR!-+A3zUkV5Z#yS?I7=y|58y(tvW2h*uZm03<fphxH;FtU+@L#p8hK7zAys3&!
ze3D9o9rf*@&3YzqN>Y7SNTCJ%xbk%+eNrF3$w%nTPa4C{!TEy^t*sz&MORFTG#y5K
zwUo@<jp5<6Wm$DA3wnDW4T+qh!_u3Bw>LR5A#ON(=9wNFZkgEizHg#K*5TVq=h_%R
zG`typX|oL+Wu?i7{icK7UHivd1r1?;mQdaWH(LleW&Yj&6CK)WVozUgrNN%<g${i>
zc2KnS=-bPQbm;CKO@3{q3-$X;T8Yo?Af~o%EL)roZtaAFrjc53*1AGRQQaOSmAd^^
zUh6|tv1HAsICWULa{Bm)jXg9qT}iZDzPD&o$Cuoc6=39J)O^d(9^CqL=lIO2P_rpe
z;mu1i(6=w{Rr+fOLH$)+JBhlG;l&r&RW;8NS~ahlo@xh1fex_ik2VCmD^$H`ZDN_`
zNSbqG?LfRrM}c%l3(UNg?vob&a8B9f`KFz;g%z}mO0~NQz%H?Qcwd4G<$kCxRt?+0
zw@Ar*bfyMersoQLTP=VuC$o2ZY_x$E*}Uigk}7EM*ejU#i(sp`qRYf1Hmu(#BjBg3
z2w_79HY_kCP<fx+*PEJb*lVielDk0;6#s5(Ei;xv0ouN++tUF41_-Y`+aLubr}k>;
zJ}C?^Ezr{z0(cwBJN;5y6von&N;>SMaiMsG@>q-o2AB7Um)Y{eRyVb8p~1^_dmWX2
z1#9@ZL@yj}Ut$quZoOW;QyOm!*1u*NT0v^RVt%{%6w7+Z=+S@6bLJmPtiJDV2_=<l
z`ee0+SjGiq>u8G7*dajK?4Gy^R!iLp7PD++U3$Q0P}?tsRX6W3<lkBV(=}&C%%z;e
z5ELJ)sFFhcZb^r6Neh@hL45G|_;-$3__~Fx3@Mym=Tj`P!yFdK!C&wE8RSUbJDAQn
zE``Sm#l3D-nL$?vs&#XZbNV-V#kxgGA#F)yN<-BQW=bY+tUEu&IoN;P>DfssOe-Ha
zJ$}LzYM;9iC{JfO@qTv4%Wg`c+mqKWk0wmOJ1E$~Ep3r=O~6d@(03{HJpI#v5Mlyx
zm$6@8nj3#f9>2Flkw(3!FSLbzV^}n9Sht$PgQvry6$DbHaVM=CbV7_FZ0C~6yaykS
zB|NuN6PH09&e4?f6HMrzec)8r&yU?V%)i#=%iv4FR)XybCNz0BSrzORM7};(g?Lw4
z91YFZc2;JBgWrb<-U%U$t=cK}T1gHg6r7X4JT!tY<yJkDM@6u}XCO&xUJlQ*EsRt>
zjlh~3U#%q}hW-^Bmxlkzqk+v{-)($GV0dLvr>9sP3s|jQzois#v~^9vYy|@j|0NEZ
zdrD&CuA64rc8XXTw=lPD9|P>ueX_$-r0_z{^my_`B}^abF_JK3!0q#s-S?uUk!RI-
zsTH>hlF!%e%bPQV0L#Yl$U`zXR`lwxWRfcW?E8SVjfPOAFEze4Ru+FXo(WsUP{T)D
zmkM3)8baZ-Yfodc<nVBMNZx}fb<9`sa#Oo(2tQqd3Y}}@aq+W7xA1Qb+)+Algq~su
zj>oV3e!-`J2_|Q|s(xu={<$kA1!;!R@W3_xuA3sJJAWE0o+2Q>ZH8FcbwfzY8CT1H
zs)U;!JIg(i&_c<z148+)4WVW}Nd3Es3fkQG6<}dV!e?U>&F%jT!M=yGan);8G{2(C
zyX2*fm3X}EwKW6uNj_)QgVZo|eG-rQSshGj+|tu<nE^lN6w2?2Yha)59_`=H$oMaK
zpRbdU5xnHh+blAwfif1hIbVM3qT$%S%*YfYSoxaTzWIwL`uT2?36-Vd>Ef)kHF`|w
zP3u&ze?ve?J6&ZaRS!?@&+&5o!Gw<yLYHWjL`<3y7HZR@;ebw0PGOlb$m^aodU#t4
zlblxtGNknJGU52=`xz!cH`3cImr25A3lE3Hclx+l$Vg1|f+_gS>3rH3tBoJV<Tng%
zH9+!JPx89!W)MsJoe<%zgQ^1>^{FKWsJ}zbZ1$x&i1{3q*heO#^Q&6EB#r?lxPBas
zAGLs(dA>D4on*}V*Ict9$pF=7_cxglEumTQ=?Sl+x+tR)h6hCrP-975@$eQaSl1B#
z{_w0Wp0Ge2wzWRqt<Gi-9k+%fUgAGIw@^^~ZCf&(M8obCYmX0Su^_QOD9ZZ`1+PS|
z+(La#MMmSq-Y6G<jQ1OK8!u2WK$b7zh&BZu-lX~@z5t-m!uOgSprDwfQH$qhGG4B4
zYOf-)A!p*X_ih~urVYF}yWLwGr+KHS-^19@Gnh1U{hlsLCAJQQJ89tr-T7y35gX2@
z9B~bk)5S}R*ST6v2>3?0UnIAV4dSU!<B~R!arU~ihPsXh3QBcs-qOm3;0Ou6q60d}
z_gOh9$4wRA?{$${YGlK`nz<r!ls0bI?L8lQRS~y0t#Ui~kPR=opAEHyl2AOt{*F3b
z9(AJb+x$JthX1ZvH>9{~;UrNgtXWkCtxt5%jBH`U&7p1Er1Xi{V;`oX_(1}He2$#@
zA<Ks8>5t?JK?3Tm44$pf6~UW<AB+rY0diY*TzCDcfdT%+k@YMAEcTpzws;sop*~xH
zk*JQ!)!X)|3-O{^$F)c^0>JpkO*tAnR$}<I8IPhvT-ZhYm^gNx1;=zAxhuJ<pnQmJ
ztI5<nC)G56jM!lfF`|NB4{lS!@${AJ{Do&ZfyGufM6xyfaAr1dKC6H$>YBD}=Ksg}
ztyQd=7H$R6n!^z_-{g@$-6?*tc8YV%G7yTYEg@C8QG0NM9O}((DQYsG;#{k_xZOqE
z63i#}h^`ov!Gx;G2X+=yoH(5~rIhWfV4cLSV*)p%@mTKFZ1RIC&f@JG{>2Y0z*%3f
zb~;`PhZ44rmt2_UWUfl7R+X>-+Gz9R3}H!(UiGAS{o8*W#f0M}cSFpft1<VNy`wlv
z#lLV&x0~fiG{iAu8q6T;Mr_2`J5jW(xNq`jVUBZ-x_<PEkr}+75quGtu&k?fRQ>h8
z7dY>8pHE2Tm_p#$Z)^5M3*+mPVP8l1xRBgLiu@sF3WQ_Sv95d}bUNg5Iz*Qn@rz-i
zT&xN3`#&zKnG?hnIUmla`tjiIeGf%Srj21=8<&uGydWycdyPq#@nZdxeABW6#-JxY
zSWhq&#Er5mG}p-RqwLDN?bKynDAGMU2IK@$@)uo4DNz6~3MV+}M=~L_jdY<wSrBXA
zAFJ(A6hgiBH$m@snDE7Yf03PoAeIdLEI)w4cxXj^h-R7*RBD;WD`X0yr3X!MFisT9
zDT+KBw2Z)y@1Jmhq!3nL%=LZfCyoO*B3$C1GT_jjv|YKkgzyfvYjvuhB+4ESH5m0^
zK-9%ub16Z>nB_$dEq@_}Q6utKKF=G1VcFtd`?Vry=hE9k?w7`zkSv?{8_Pb|PSsw^
zMHE$6@V#`@ki`~hpKY$24FMA3Gd@O&VYYSmj(7Xy@ZuopNr|u_*qt^MwXPG#j}Zg6
zy;|ilug!-?u7(bcFY7)evL$ijY0AsutqRzgNw-v4_Jx&&Z8}L|QYdvMRn~V>5kopk
zPwaK0L&@N)i_9(3D55PB!d0q_8XXROEmS(xbl<#~;Ua?*to)t*r&RIQZ95wyQ93Zz
zyH}j^mBpg_+BCfwHKat&+p7&3K!;b}*`)+IY}Ec7{BoTJMvLjk6WR>G<iwrnC$;ie
zm7d9UDNqwLPdM~QbQ!<~qte&$L<Ky5;J|aY^91xd*p$@ELkA1TpbaA#ig-DK+sU(m
zh?!H()ppu+xNybugu9k9%2~$<?p;Ab!ZwH8F0W-j-ICe&rd|cj)?QI557EXjOc6-C
zL5D>75c{^XD={d$+~8214*r^vEnx8*f`DJ<d}^RNE*3CA)<73ei9DjT9bM+~%EqMp
zVhyZ3^Gl`XA_Ym2r4I}xmid0RW`*%xO`HsRw;^ScinX5t){j;(poekH*|d^?A2z%6
zu2@IIc}wdTJ|~PI-1^h5HFZQ}PFQ{`J)@5x*#6l(gb9+C!Y_R~wD8%JGlRaj4e-0+
z>Zfu0jA8h3IRC>j5?;#pu{gJZj#_1Hqh_fluw+n}*RrIIE_GM#$=#!4+0!-qiS?#X
zlA^A0hL?=`DuIt1N9kA*A6s`t)f@)a_5a|XCgX#s&sJ(8h8P;@|1{+I^1mOmFc)so
zMQ`c6BZPl+-1yOR>zm)J!2h}%NqKosSzXWbwvXtjKk3lF$J+{|^L3kA=~S$iZCO)n
zPsfGI&YS;USwl{wa*BHa6>ph_z4dZ1KpEFclAZ*>pn*AG;vf};J)8oii)gsxuzaUw
z3BU+7mz+IM#ZI24=68>%xGCjD1(z8c>bKtUaQR9_pU&+T?323aZ@X|d?hYFYa(ma4
zPg2qK+MqxjK?l8mrRKB<+d$5ik&Wl(C|GIgcRv5R7Dh`%x7w|@0kbg${U>Y+$_z9Z
zYpo<;z`>QQefw=-%D-Fkn71yz${rbOvr|XED_t{s$84aF_@;5#m5je=r9NW`$|xK6
z@S}g24QPz)|0AfYgDUKd^@Ex#aG~p*@Ea!^@O~&?WHCrW=#?B#Aj;s6=?Z$Rq7A%X
zx_*K?OA9R`o{`3k#L@D`+hZdi*^v1}CjX2L5sM}+HN05XA=5&$xgGIrD9h*Hx_eL)
z>#mn4i41U~(<Il$-@0sQu)C6d;GzbGW}ncqT|LJMi&D0?tpkv^iJ%kH)G%sPWar0S
z6P%L&76eNJ0TvaV51f=$MLC5&e<jTk4hI@`if{ug+?EP4f2f26_L)<!6#F=(M+N_!
zGiE`V%f^$Bk11db^Vfp_pDxZhv6|8OUDgn>$-itmR32p)R}~~uzHrKiEFwm7t>9Z9
z$>r)vS&VylnRvUsg_9+k%8L4G35Rx4Q;gn9V}U^HdjXS=oR56=;#-t0VOP*na4=H}
z5BxqvBUXLn81Ihx^UG%y+$_pz3pp>2Z#Hpv1WteAOx$gbJ8;tiUQVZ<A&ZD&{ABRS
z;M6aiM8ggto(Xg4^h@bry%WL+n#$NUvkp!t5?`gQHiy0+BcCE#1aR0v*Kp^TZjOU#
z9#JyK47j*{x^Gb9$C^Flz@+{j&Lr)-`?gtAIG+rOwl{cjZT)oD8|DD#aq_pH+r3Od
zTA=q?i$4!y)b@?q4~96JjJn%@(FE@2kD63$<;K$|j|Fi1{NYIKite4Im_S%4N%Hei
zF6`XQwx^_zaT<plws>S3gG4ny{?1zBFhlG_Wt0DMru_t`CPj^*_0qO;9x02QU6zuS
z@fnjG=2DRFlQ<?6q|HUPH!N^YD9tH;Dxc=OD>%S)dBF&1XM4pJH!pB<C#THqdS*Dx
zqI&a~qejs8PC)sX>H<f56VtJgHqS|jiA(ZdVn7UyL^mcbaQGCHsmd1?Id#9K(f$+z
zNXauix&aFu&Z*{ly|Y{>v40IiQ<?!vOj5{9=K_aO@l1-)&5ho-U()8T8A6b=_x+jW
zy!PQ^#3=82UOa@ZVc!{skg)OXP2H#^PR^q{g8A?GP;Z;+ht^s;WJmXWS8(J)I_tmB
zJi7$&bX|rFcK{s{{tCX+o#MidfG>JGi9#r*UeI%xj}8^7o(WH%aAN`n+L|m0<4)p6
zi?<sLAYxIcEjgP9{VHW7w7JAkO~lrFG*2I%mF0TgxXO#uq~Nu(6baOL`QMA)c^c@~
z&X;Yh;=_Ar<&g+dI5#l!(#DSlX3zXfssH$K|HY{7RVSozN7_H@m(6;hax*VTWUC+s
zu6!H+`KJsHl6f`Ox#)qwUH1l&Z$cPAKFu`nl|$c8iO>4msIbd<H0Sgw5e(1u*hrX{
z$8P5372RP}NO9gnTHz^%vIi}>WU3T!-bs4yks=j5$0)2=4+%_s_Wrc{RVD0u;i156
zrohCJYdjscQkZ_*$;j}A3Pv!Z-iBVI0CPLH;^+ZsJe!tSbL;a;d~u{I=3^WMCjIWL
zNUWB@rs72&OC=4AukT-NeVhUwWyP*mBst7=`D^pbTN4Lvw|*GAM1i}vjrS$qlE<Yp
zQA2qT30O*(ow?PtJm+-C<M)mVIPMU5URPTS&8GR*U87Nfv`JB1Pf7``wwJxjzfHo+
zQ{#!J?^D57XaCXN6Uw+U!<w_zMhCB!#U4rt(t{}{gS6%uRqWFAxO3_k8U37YDBHTw
zKznuG#U*uhe5EN;p>U0YYVXR!Bf|8-LQj*^Qm%o$Rp}{yo_hHGdx^$UlL3rgt~zDZ
zqltZjHBo(X`Y6mhIc)ZX4jUAue=rF|+<Rc|s`P6E^!in?>0`MeT;nafs<K-PD{TTc
zrj*jrR%>yq{09c`91D8IcuYdB-}K6pyAAPHzXtpD3MQPSDc`#%sDr_?O{L+Y4E!bQ
zpv{gqhOwiD$;BJV7`0!*>FOB<YJ9KEl9n@tgS>&((&u&2=?}wk{wo7*FTPMY@yZOi
z55x#GJfmQalcZYb3<J$ci#EQ=7O<;ekMH6;DxSKN`K)xgKURs7`QG0WyyoO4JRa&H
z`%Yb9M>GTDY_g_KTU$dfJF222jE0H=T9;~C4N*Jhw!DD=z^1I*<xziW*dz9JchEAI
zcYKmNliCSz&PlWBwy8dnlxJ--(+%*loB{S<X9G7AE>X<%F>Jkl`%I@E1_cz#A9l2X
zhqL>4g^$xv)5`D4+csVN=G0@;|8cn<%b(B^NW&W~_vmM{wQ=y9`G?mgwqSf@`f<W#
zJv{fw<_^b+h<@C(&^HHc;mBBG*#2ZHre}@&jS6buV6<fP%OqRKNz{wD?nFV8CCLV#
z_e!`~EAZ8x|7-zTQy;$gK}JuJ)8s%NIaK`Sr_i<47Rsl>^&H)o^ZZA7wWM@$Y@_wk
z#T9H}KIN}tPX!6XZ;^Drhx4IR@&_T4=QhxLrEvDCkQQcHnZ}lEoZ)0To&9>y+XmV-
z&J?S85Ku9pNHVo{fOEb6$K~K*HZ<L@R97n1z{iKu=U(e@I1A$w!#qdWaNYTB&3%Fz
z3cNEZMeZ-G7|p<+2bTa8sl)m9A}ZJ>bg%g4!~jb&cJn>PDS%(<lJD=SD&ocWGK3F&
zW31q98*>Df{mC_DR{@9Z@+jz9J~5y(!MeX;yQ4du1>vLHNt91AsB0Y+Sgt+Aa@;5K
ztYw`w)E@KDE<G-VR6c|LXsc<~kIAw2;7}_Fm*<Mx`AiH87YSP@a;I5*fq`O?>6Re%
zv^=$`TL`@!?(dh3nPw$P$57;IRzcp$?T5XB`SG67;Yz>RDV7HJl8*GE1(>Wk>lnYD
z2m7C-CA?)$v33(hJ4sd+P?Yw4^_1`ur_sVdnzVY7rABODGaY9RXZRI$c~oaPa=J%!
zjBO@Z@jWF`T8(D#LE~!FYR)7lvgvoSyV+kBWjwmrNz)7-*kpbg>>cB{DQf+7V2-ms
zibuFBMw){C_DhT}e8Zfepc@8ntjAd40#m+*pG_cpX=w3<WIsopFOFicZIq?mvF)pq
znF)NV3lk!@baV1vMJV;s{;+}s9F{28jN#kw^v^Me+Bu7ld^%;?hFNjJ!}-Y~#_-wA
zHucZ;X3mBMg+rOuzggrR(h=+^CdlNO$d5<YaOQHw*(ZJuv7#rs2#O;{@cNQoSV+Zv
zjx<k~XNAKME6ztLZXm!2nw-_n4qBdK-Ln%eTR-%R6}COQA-S6YT|*%|y2l@~>Ib)G
zPB#2v9ori_*XPTC2`9^VudG)riP_D1Mt^>>*2?zifBtC*1@8Q2=O^E>EC!m?lbnZG
z$Ng;WVfQlc7`fh0J)2pUm)h$e3=Od$+Vz;&1RZY0_@F-5XI4eS?<18pzgh39Czx9Q
z(P7Bya((R4FD&AcO0PuMFe{n$<w>|S9g<J)aZl;|#>yxwy;frOhqcqOBCKw$0SJ$N
z=AKsRVof!>zn9oG%JLeSHve=;AFTc`zGT#PvqIBI=??B=EVY6_&;DC9=(=P!&42tS
zD`K=zV_)z%>uyo2X5SAzcvs+|?QYY{TH9K?<eKxB71A9)T&1Z8=Kl>I-L2HmO1J=X
z8gmn@X#aIdn*ym&y?0k9zsMl#Mk06U;s2&sF1CBC^UEl3@5!x@-%3NQ&W^t69n62M
zY5k$WTrLVwqC}P^oQGN5nZ+Fe3bU+j?}hpt-E^Tv%ScS4^bgB1N^dejf1V|?KT+t;
zJu-CoOGdeAjIoaF3-|SmS!6}Xy$NoTA%m>W(=!Su$65M6Y(*ANa=}VxYDiP04rn!u
zy1NQbu=F+*pUfEHhSVlTesiBTM0q+)VA&*#<;M`A9OVW6OKtL^p4!lJmAgCi_%y5P
z;{7;#20t)GyZAXDNg&h{e7iJqhIObvWu`?=5d7s#S!*_v;EhU4f=$63Yrr{RnoJgk
zYo@}QO5e1=qV(^y1K%R+*sUw}b77*ebD}H!d59L+9<>uMcHx4!=zr(JC&b~A1Di3y
zs|7YOA2;DMZg{y<N<qe33Jw%g<5O-BA^XSlLYWIM*g2#m3wKLHcuCUVYpz7tmR#r~
zEzG~{gXaCWoRx)NTW{JO6edE;hl`n<VFB1HFel=<Lmsqc6-IL26ToD;?`{vbFcc}R
zS<Kz301er(XN0a3KxTUd*Wb0Gu*NSqxi&)yIz<}RE+!DbJN|80UY$5RX_Mv)UsM4G
zT_wRbo&dHIW}m|Bq(EL`W8;b(H8>sm!;X|rfO-?rvHn-m@Vu(YHvFjuxc6LSo_j$6
z#-B$6j=N-`U_vhA=^6rzdxXboN)h45w2VBBDG&9!f7RYj5aHpLB947L5jy&&QpR-@
zAeI^xU56xioMrMH2wL#!%6G2ktCb)!%Bo+aL<eM^FGN{QEZ^B(w0`w@6*&3mR%YS@
zT^Nv&uU*fr4ZG`Cl4C{HfGfthD(f>9Y6F$7tly{u>l1e>8+&Mg3DIiWS4<x~82j3*
zM#<p$>byns3r&#b{cxvnIp-(7(Utb>qkyvW$tW&15uQ^&y?nRY5aN1gT(T@_kdial
z&GSJEn2kd@-?lNJCV^Y)&71+$*#~d9zgHW$8kz+pmvto1(C+%!MMH@4)40QyBZKJ$
z;+jiNOi*3(Tl%WM5meW&WG+?eLZ-M0sdrhw>R$5R*&JdF_ZO4AZQZEQ#D6W)I>i{O
zl1-fEuA4$<i}ACl?|Lv_xsB`9TVu%QI`U4L-vZ(~#|Oh~^x^UA+Nz%=#;|Vgc2h*G
zC4_Vxxb@?Z0mxPdIcU(0p~E?5N{yEVxg|^M^iAkcVjH(-%#jIyM_lB|PXNyACa2v=
zq{E6QIchujj9~EC-khW^Hl(J1vU0dj2d7Avn19<0VH?kewLZNzkg}_GSh$1^g^8OM
z*<bYG=*Mm5)z!9ejTO;ga)1u)8-G5&d5QwlzX}Oi{&w)QR@3@~Fdbf%_q0XMkl+kw
z!}auLJMfIz*+%ct2UW5Dnw&sQxP9yKnP4G%nD_nAdDx!@%2clW9ScgZe&Ow_i^BF`
zmzz6$Gmi>myt;W!&C+mq*QE>T-|Qgb)nmH@#k$b?@Vn<@QGTea6<2+J#tuGzKggh*
z*MY+Ug)+kJqb#4L9&>eNJIK3JKsp&ff^Pvk#Pj4oa8hV&v(OA%a4DZ9zA_?$6eIh#
zS>Pl`)A5>bpnxs#xXz3z32VZ?FoCwOq1>4CRi`?1Ilp&GIjhuntc17Lq4i0p1@MXJ
zg~FX**dU_+>&BLEO5n@ers&2N!BW!qr8+w{D4G;Rhsm!1+KSlO>NYX_9{>RV{|uLR
zIM#0z#_jQ%*?W)Ie1|>1$7>W>kt9-tq7*`A(lR4aAx%nBwsyWx*`=SEtgMVEdu#al
z_rA_`u5+F1dG7ms0uLrp7ODUy&q~C%UF8Gs<z~^;L~cY&(aoW#0X!?&lU<X~4M%E@
zX9Zp2L5W^H6F!a@yzzc^{8a@TbhrH_as1^$Imd6T>h3p%)EbNW+1-r5+OB$YjKGVm
zWxO9<3^W1r{GaQ4I{#qZ15Rpt=Xj8HZ_WGcbYrj@%yi{qTgIHpv$EFtJgENpjU#FA
zj3CQq((t?053I2>PK(ou2gQfmYlN&CLRkZ*)oIa%-Q;3_b$gN<^>3Vubu}=AAk3>3
zGpfS72CB`yvbd3E!1RdEB?I`x>)Mz0z8?=-Y|w9Y;YL35FM|7e^?^ZTbCjL`2VQ1G
zD&*GUMyn!DiUPX&aQC=$?)rmy{QCvlx-%4RL=e9JJSj&H+~s>`Z?!Jt$xdTablZIt
zR?Ou-GwQ+k_xC+Y_t)`g=H`pp_qfsDV=ak^p}G(j@^w*y_y>>ONjZB`hyYGNvA+lX
z7j*Jh^iLhwb0{~x<@6SQyUOt*=_L=6{@NoPeM|=wg2q?Xtm#ox+ki^0IWOXU&D3}N
zr#2+`3DtWyF(Ar+EdkCScoCmC<1>p;Z3r@<r6!v&A#QF5+t&R%P`t>FHV#H@XixXM
zp;p3--ei~0<+Adj<Ey-1x^HTM$9rq~BhsvBLnc(hwv`Y4s^hr*k*WoQK?iu|uCpOx
zz_TZp%J@-`5%HaP7Zogg$s>kB1mxx9V!2T)fd1ITTJXeBLBXU!*}s4TtuhbY_4^=*
z*gWF<eydX9^ojTr2Q9de4(XRf_OcKPe)>y&_Xq`A<gBjMZg8XJi3bfH<|2r9koX|_
zE(K(KPUR4Mc#$gGK99IkQ6#9ek0$3wfw3=kM)qzyP*fXH^0k3DvaMvO`=vtxF<<(>
z2A+H<hDQ1JXjB48$R2!<&qDzt<uCbWq5P<xY%}oWi4;nga}`lvCd1f}e94<U0W^Br
z@cZm88FW6!<iDgbGPv^D+V%Gcq74<X`zyO;(atc^%FqZIj;%)57ODuN2rE}uJ1B=7
zE40FbXULG+^WpP+x(KRNyY)i;tUMCdJNx1;8wHZ-U({oqV(299h-()spu1Pjo|)99
zfP)B4tNxBSS|g5t(|1J_@0UH+cbWqKgxB(EJ0+3z4O;B7yfU(4M3_h;1tK*V+UA+0
zQN{bqn)Uufv?E%IU`(dMGCzq*IWB|3_oP(Bm#LtEDQfrUGAejnej`=kA&V~TIbc1q
zsEQ8Ww3$+}(So4%MdOn$awsE`HS2<^I(mF;km&SR3+gy-TDv&Qql~zaC%+st&~-f4
zYy6`&q&^R7u6I^Iy%qO_uOHAvJgt5MT@^Zz-yNZU!C4VShy0BbFe4#m^21p3DqS#7
z&8V%gS3=oC>eRpu5*m-QF>?N_2bssLY(_vCMGV!4*BFygdE#cw?@fJRV=p-@s7ORA
z!B3wyyOYr@KUcypeM2aZl1!glAtDA3xl>s#WK?yAhaoZE2%691e|n#(pmiOc+g(az
zwBaD^wffl@=-3ywtahp*#((sOOm2}-sozq!r;sUJ#Duzkzg0zpw7O4`nVRUKwsokv
z69(kIEeCIc8nScwyxeJ^fl}s#^UfLr=$z3Y^r@+#?C>bZy6bA_`S@6Y(tCiI`4AsE
zX*ER7jdZwJp@Pbe{q>F1GJ{IXW1bVEsz^H5sLbz<GJ0jnQkQ+z4C*bD*fk<lQJo%x
zd7r-`I?1p~y47t4R*zp<F^#C8yU|PIx=Qj$S4gAcArlR1lE))BWL402um66>j>(`2
zM*F5|F&ccjCpRf<LPUw9zlwv7NurMEZajTkS9_V%J87tlo^$qTD_e@9vqf~4XPIeW
zMQ`r^Nk$2!vD`cV=(Hemn%{R&b<hk#dsuebt|%aOUa0{p10Q-iZF9|~&<xH5d8ZH5
z$fG(kEnt0t3*}u*9PB<~26lQ8xz{epA@>Te)P!m_#LM7&|AdekRHr;pSlK0uCK+^e
zvv)J0%M&Y<Tig3F#sq76_+^mc&vVz?i|CMd(vnT~QGl~j@H@9n64_SRHK?EejaOJ%
zb(j$V<fcXJbuz_K>g77C_J6Cm)^lcYqkR~3FYL%m4i!buZ7p3kA1vV>E{T#gH%y_a
ziS><1gfQy;9FzKU=K_wqMU;<zHGy+dQ4Zzz1W~cRc&R|f96qB_?8zi<0*SR#D%x}W
zNcX_YU<u|~ykDS5Q{2lK)Zdkgl6?431h9SdFPXuo!Xw1mpBRCb$8^}9Enc)B%}dg7
zoyEC|Ilg4A8-j&nIagR54>GtQZtdSbhhGhMyi{ak2qV`$LrivYp)x1kUHgB}<1O#L
z25a3nfI&|?Qkx40vi?Ih>2zMi3)Bvdn*Gs-*?E!C`~r6L-t>Gx>G%@f``I_I+g%@a
zne$g{k=fAQ&>haMg)8`}%k}|3aXrwYUU?_8#)5_^?tk88tl_>F6h*>`dN7Mu_qi@H
zqo?gH&k6T7@FO+MR>!aFLgw1J$1-xvD7UycdUxw@T;pNaVZ@>fu^p|ysOOka%H)N8
zB&mP+HAeztV2lpXv$Imt2~6m;Dc4IMD>`(7MqW6+str~qXQL8o7*Uz*Gk482dbCPz
z>V31FBU{!EV|6)<sJYC1=;kB?8a|(~dT31x@<<mNY;qZqcllLb?Y&G$!t?sW!)LW1
z@Wa19XSVzNZR@dL{lbi%JVb;Rb}bOj>uY3TW<q_=@1vAXv7+zZ?G4X!sL&pJu8<>;
z2?etY+PKQGqgBJg&&HZm*dIWQUs_>85$pS+JQoSb`MSN&`E5UJcjmQ-zsrnvXMWvh
zKgx+rxh3tZeJMb=+@k%-p9ML|Fa0~U!i~~0i%Hz<+x{QFvY_X}idb8_C+^(jMb|Xd
zG&{=4z)Nb<iuPth9UNUbCCxj~L3gwEy@$yVx)`B*?HW6prU=~q#K(`=4zp@(3Xmc8
zzV}mnf`Gy}3_~YF1<<Zu=kkzyB=}jNOP_F<6KN=<3vVt6q5@XqW2TBEz%S_De?-rX
za@R4}jTB+jCN;D6;FTuG89p53ZQ(&v<9eje7NW>So6$z$kS28BL6Hl?yr}Bs?n59Y
zj#}EhMlT6#!X3g|&C|sl$gcgR*)LH^WHq&H)iI_4)ca1ohb8z?vBF}Llz}uludvs_
zyIBJ+$K+~g9TGsY4#bxpH8SW$M_AAIMh$p;ZM@Owtsp8(ZkxTZD2qCW%Eb?T*MQem
zAOD1D3!?`oS>qb?<&k37ha3ZGO=#+ECq8QuLBa-QZQfTEkeg8tQ729l{F(H|eImus
z36F>D^J|KTvs>59pOpl>%>zPjtt61k*X$(iKxHJ|*dwp~mIP;VqI_(~QfU9Q{N~y(
zA}XSUNAvC>L;o$-^=L5}l)6<r))AtLuFZrs3=NXOSb($dsERD=Pngi&T317PkDpSi
zlPFLjEC1EcTn-5&*ZkCs&_FE08U4}DR3MM^TygP}M_Zd(@j;WCs5b*|D>Bgn1Ii=g
zed!9wEMUPyP>PIpFNK!UTWbS%8}t4*uN9F#Ty2-ECZqZ@)VDTaIzSiJw`b$K5)ugx
z&61~5kfwn|7vp<fIP-7kMm{qU$=obekx8Q<R2@1jqM{FcilR0#qAIA^cfCpU0|otO
zR6F?au>piV-)EUAqKYm~FAo<sQqWHl#s7=G5u`O7)423o6*bS@Je8h9LAH)nucz9K
zA!;I#>A%-%=)Q&*(=lxdawdpK$NHIqlt^)uwu3s_I6lFwb#pr(ck<q%o5i5YY}aq|
z3Uy>~u(>NMfrN6Ug-c#P1IW2ck@+~Njtc!+|A?N|KvYpy_s4t8Kz&R*e^<LYIzMp7
z;DoFiqBn|@dhyK+O1O`z*e0qY``aTWuPzbM<kR()6+0SC)ZQ=5Wl~4c#F%l14~l5l
ziA1Z3yEKqLrj|glRzr&$JRb|^<PaHuy7-`j210RFto-h(h&M6vwYQ=S`myP&*)u@{
z|KIxGr$7ZY(>_o*7R1m;7k%>8K^lb0{gl4SKt%Z?>G$211yStj@~gvdX<+}zdn@s=
z5~`zr(fKTJ2l^S-XrFkA22n-HDAq_30Si|FZ!ZBcD!_>}V;YpBLyRA5<q>V*R<p$%
zBciU4RnLr@fk(N#x{S3Pdi!rpLdD<@elXcq!{w40Y@ST;vF?yTY>k6!HjfwaKKgI&
zTasq*L^CCY{-YF%*fVAv#x#N76T8-Qrve}(hE&qRA%WULM0q{zyKwScjk~)gfK{2~
z8hfxP`eAU<tN&U7PRE`=c~OeNJEQsePyd9_vbtKUr*Iu+e6ggcsM{1Y`McB(yc9rA
z4|-?ay*n^{7q*|q^rqmLuWA=^mk)7sFi@s+zhXJHx8Ej{P2gGe{_vD4UQ~a>=#i#D
zFNRruN-**@hH`TEkmf8G(iab&q+{sC_I5SS7Th%g!cfBA*iQsxr)!X7%l{RNKG|PA
zI%Eizo*v_>e_2udWoCk1Zzq<1+gD>+(GV!j!9JO1nbGQB$-iy;Td~idUcbo>HrT#z
z4;;T{!-z_%{OVpks>i~_IQP|j(1+V=6<zP$=}}|a^B{Ji=a`Kyp+-SeAAULsOzd;p
z!q0^t&z5Fz#+Nhmc4dX?!Ln_;($J|tc+P9t=oXI`_?q~!FWp_b&>^+hT06gipZiem
zQ0Lu<TND%GUK!{DUs`UbamN}SepTjtdS*L*(k3&ID_;kcx<V{T9IJRs2Ip6X@UM8w
zAuX}TygFdxwd9OtF5^uHejE_n_YH5DvNAbxUK`f9d8T{4m+;cWR~C<QNAL#vyfle*
zEl{1`n$kPHi1+lT^{Aze;c*FlA=SZJFi@RV;8C-HH-3wgw!1KipF81S$Tvp?t7jLd
zc(DasDYD+T@!~Yjbt-mEJctT@)4Z+y^YeH?Wz==88#8z)M<m_bWeU_K{1Mu0oyY40
z_9e}G&f~)~qin-56p*z)FtxXL9{-hcZSx@gBEEO(($6#7T(Da07aBoWz>k}51WP?%
z!fWrH77o8jhP{0wL&;tXc)MFk0y%yKA2UAuuvLW&R!M0S=HC`@x?eY9yZqMhxaM)@
zjk6@UG&sFyJZ2GZaPyB%JHCM{IS>Qp$}~ar>-TtVSi;X8rPEQ%`i)zBZSswq(g5N8
zXT-ylmvI|imZJ^hfAM>&IWL|OHGpM6cg9C+1-IWaOPZq6p+605B8ex}LHSfQw}I~}
z&Ztx$$ajSv<&eh<mENcUQ)-}IUd<XFnO{VXWnx5o0wznJajQY$r!lh<vkg2WkVEid
z9us1|`>w{pUllYi6PlP7HgSRQwBh&rS&)yMq^{#973kY<`0i=zAN-5Y$(_O`Z0J|$
zl>;m~D)5twFswfE4=0bLPL<jb&}uW?-{D6@aJ-j%tS*ZV71ig(vZQmOm~Z_(0kTAh
zkw~?C&`pp2HF7+jWadHgt2uQJ50#;Fk-AW+&xr2D#UFds&x^u6!n(b+l)=e}_z}Hh
zLO#=Jgw(x!D8KZ_y@xGI@NZeEpz9b5I+!8CXFbo4d_>BN9Yd6W?)!WXwmskMn=IN)
zxgctINpJg2Q3*W4?1rzK5>T%?gKSEkFk)uoS?8Tngn7^6H$_35$Yyp!&$v<)=?NZJ
zAk-*=@3(o|gs<F4KXvUH$A&nP^fS0`U#JM|9?E)EZ+Ow<Jsr)SAStvm!)@8Wt&cn@
zAv&q@p?Eb#_v>jgXkHP8YS$_PmTFk|=@mbcV>Pbc+LA?E*6Xjr|0+V~S^W?=A&ANg
z!m~}U$fGOloC1FCO7Qg9gWFHch0)28WqVs)MYMnA`%>hn5{O9sOUBJa5f4|`DThrZ
zggLeLjb<xD#O{$3jYqe+S|^Ir`704!*|oLr(j_9)g3}}a=aNV@^rp!|vnr~#+IxGf
zR0ZOb7p<QQ$)H)yj}8kh>PQyPJhCFK2Ix1}TBWZnVt%Gt^sPq|y<{GjYx|}SEiTnU
z)eUl}foZ6=C76s(m<DheENDVufJ>RRo&x%>rkTVLL_tPX7FJPZWGJwUiTF~fh%THR
zLqncaw14oD(1HjRMs4n`dgv)5kAp9_vbD8PU(FGpxe6_?N!>8^ctb>JGSXyqTnm+p
zzVR@L)q#4qHOX>4RkV@r(bnjvjYuoP#P-vAP%Bc>U+_Q;5f`r#9zW4WJyKr6y6Fbc
zdPt;Ac0nEaG=J#eex!}q1Ns(K>x^LBc!!O&uqL98#k3bXXrucQeE07&nu5oVnC6{q
zBy{HS*_68bS}5*7;o*EqfK%7PiaTGDkW!_$-qTxD6#8EekF%N?nD1hFOXDG<=8){)
zF*FK#yf4!zNQMSw$!B!BM99eDq&#OSjf9NTFU@-{(V#%$^{1&B65`px+3A|0hH5KM
z_Iu@-!{e-2;|V7c$~#o_+ABvHIhjakhX`4~bsd#|_CA{Es(HCV%4K=<aZJ_e#UTqw
z*B#z@M@0j1yH8GKvq&Rnub{5Wkrv?kXkX*eXKE<Rx}zo8Ul@^OY@3&kS^&X`A=T%P
z3YrtukVmI@(UbdDR$LSd7@=9tdMgkSrXDCa6vu@AGM%`)*>4U{3)R-lw3Lv)@w<1q
zFP3nVU>=YQGKWi!1DAz#6%cukUevG=j&}%B(xR7X!0Gvhl%g+(4u}K^xs3h5PHy_J
zi=U!_GU|G9)<Om`#n8D;)vjTL-$O3zV`gAn@-+W>tpsY%dc(O!q62Ev%8T!AW<a?K
z-*q%Zk>j36#OwPQ!GE*FGOrEbF8!Y5?$3gV)A2RpNn!>Q+1-BYHUKq|pM0C2@FB~!
z3i;?Y7La{;RZ}$!19WFbk9dU#d3lBH;rh%997F~~w%ev)@U5>;(VT!(m_O=zlGxxs
zV%YAfG81r?X8%4O%8Z=aD(UP^+2B>k;Ns&}V+i%L_A-^EM-~}A1ZM#@coOB!+_`Q9
zuA=8+A_6w?Zx%r{bd9XQ<9c$mNzDi<bc`Ki{Fm^{Y?x8uQC2wZdEKJ_s3Cmi%Ui13
zJ&iXoWy-EGvVyyyx2*e91GrrDGC50U5I>=o6mt6!3*461n#^C<2f6Ti<*dLu+;cpD
z-0sQ(UzQ{ZvbOrrBzDx$uc8KPs@>9TlVpL0mFi=TkMzKI;_RVEufAeCJviUl{AC8}
zcxl-O7Cp%DV_8`f`Hm(14&=r+m?6W!Fh?v<7m}FG`cjIfuw#oYQ}u!@pssi+fumOk
zjuf%**cQ)WN=I+(b8=>ZIj;S5`)zb!tiO#vC~pzto0w&vsAPc$lBX2gkT%qCQdPoq
zRxnywt<GD0Rv4V;@^LiQ-mXt~<$Jn@)v=t@`ZdZ5qq~j#(OWH;Sqki_C2V2}tlfJr
zRkFdsYFl4Enif<&Wm7bA|AUb}EH4)nv%{~StPf}{RCpqP^GW!lf7oPWP<28J0gAXC
zj=Q>3AxAoaJ1~k4Lf@AZ+z{r3AGu7{UUL-4-+RVUzK|X|ChiOcrE$UQ_g#t6i4>UJ
zn=35(jREdk1q&`xd7w|)PWZDD1$O@P>l>72f`p($0=F*kg4@g2kCQ%<A^Zu)`>_ya
zh@7kV*K&CW6#R76S~^XJ{Si%_7kXLXmd8wyM*$z`dn&whmnVbzi>?`FS2mz(A1JH(
z#t&3mVLFEj612{$n>?Lm2OnXq#Z_AnG;Ytg+)*RJxg;5`s(cOzsK2|?TO<S-9H-tl
zR%*hoq`oA#NG|wITC42FM1W!1Sw_ZI6ByHW3iX8WfNmuF@9%4(5Y5OQXSk{Xm3JC?
zE1P-2i4i`W>lBAqaqJp1l^Sq}Yw?8m+zwbYH8}XMQxZbaw=TB?4ItP#ZjsdZLHtue
z*pW?X0IJ*aa)<`dzO2ujh!cQ&cFUFd^0FXp!h16{QUeBiVk*fqg78qx+1=@&9O&w2
zM%mrbfIs8srAoqtw|y(|SzD1j6x??Ytl#EY3KEv+6%~ci&BA|*Y>HrLeb|1)Q4>r@
z7f#ssi9z=ng}z7OO5kbNcztX_6X+TbmFm2ZfEQsBkxh%ra9d|zgKIGfDtGzpmn@Tl
zB&E%Txd;{L<vzV9Y@0V7tln7v@REVd>Vx4JlNz|%%{j<Vk-@O^bqjxlEOdnazTumu
z4pwi(HYe^-pj*><b1GX7o)0hG4CT>;`Q`fp4??MMGS;_3@Pj<OFSNAy7)t^|X`*)N
zaV?<8^?!+)SAc~cwq*9BWGHLl(7kg}8!}VQmdna0K}2H6!`B;RFd!XDnXJ(PBmV1i
zs<zvCTe&M?{S*bFB!73@643)TFPEOSlSE+pmnM1c0|jEo_B;_u(}#0DbsJIfDlj5%
zeb{800&4;8R;{9jaIq<|?MI9%e2WfP9~h>9`shan^(rHH?s3I0+)WK`Z$Hh`_bG59
ztTn2{*#ycSW{yPhsDqY6w6L-Y1#->?MVQW*LWKQ|Pj7FkL+VQ#jrucWpeI?&dKm(w
zyL50a{Zt2LzT_R2G9<{0c^thq3-CmmN70g119+s~$9m7J!>o$b%$+ndNMG6;^Lj!Z
zirBwcg$Ap_k4}b$5CIy{XZU_fOi~AO!06nWSIS_Pu_@ORLxakP6GWW_HRz=mYhWEw
zfKEk?*Y))@xcED!K3-N0q9T}<&FSUf$HR!Gfms>|uAw8UGO8dIw8tRrh!o`ToauGk
zpn<!Fp?c&p5sduz225~?g8v1=%ZHOR_+}i|{^5}_WKU~exFIV5VpTpr_q?NlvBKYf
zeV7t7{Apu;;m-pWH#j+6&(eVX_=ERXn-oA*eB;^G$E+asp4K;{xy`v!k)5X2@^J1V
z`;i;0^iX=I=jvRC8T?acYYcCeg~!6$Z7lR_*nv?=JL1W0{e!4Zvx5u-4lfw!5q@DB
z&4=}i7|r0+izF|nT1k*=8`~RF+K(~pQw^lQ0Wi_%d+{@iINbA3zu`Fa0?YUt{D7(q
z@M^?pBP>V+c=e8)DqE?=1^HV-VuCR^mJ#lVn1rCzVnW%3>kIB1+*ot!rYXF;Iw0xY
zzz>;$+CLP925>j|G=Zx3CJ>Qo|K-N>9kA=&MNPM!AzXBhElF#^7@j={n`wT+0}E=}
zbaipV_*_cSjUXjs*!fd!qsE*Qyw#KY-tY|LZgRf&^SzAV?zdv~58CWdwVE>dtm+#c
z#Z!E~<AEWp%eaihMY6y-ZtHapr9M3PiBt0ElmTd@=D00!GJ%`$sP#<47u-IV?bSnF
z1Bh~nk1Cy_2fdf6SEGB|@J~E8LSu>gV0h_yh$w*$bh69EIprGhTj~pcy@vJRu4w#2
zjrKp-$~^XL*6}5N%i;iW%vcXNCHv2LZEaw~oiK3Za~yt8_%sjojxNY=bPl>_tzm}m
zd|mqks<5foXDGr<x?mq~_ucyP3YKBpNBMA|9?L-IGmo6qf$_#Kw|HBYuuFf!js#QN
zFn1=gmY)OKFhBCZ%>CdZ7Szi*Wcc_CM(4TIl<1%hF_VHH?o$`AeM7DGO}zcsnJN0y
z!VOxW?3R68#d01~(md0atUrudE_UvW04=b!9KFpTHHQ)H9J2I(jAEb97p$h$P+`|V
zi0PW(EY@M8Rkn3&9CJOM$W8+)TwC5Wu<@V4GIDq7X}bNuZVnUgM%7cmM(J8(IPVPR
zv!;<!toRcX*<{jFu%|$l_FRG`^9**eE$j9$>n!Fi`su2A9~q*mR`<W8&0ywlu0Gs*
zVIE6SEWdNXpA6BtK0DUxX0V3Qu4j(~7O@IZ0YSZW5`@2?du5U|ixumquHbK$F!cq(
zt#)}5_}MZ(Zn-jt2{CJmRK%=cj|&E?>s&O!`9ak2nPc-<xLC8-C-*f>mbLgDW10r6
zM$zxAS6#q(vpV<QKDdEh{IN$Nu|*yBeq-A?&$)=@tCZ9+CH%%b_XOHG?NEmuz1@SJ
zyh~X1tp+o#Z+|h)?<evCJk&tdJh(VecNrW081Z?4N(W&kj_*gGsY0YQPu<wL6)a$)
zCeJ#P9zqui?7uRrf@Z#u{`$fyc8zV5Q<R?(n5?HC2K%VMmyfYU)~V|l<-qII`f4T^
zHng^xZYDxSv*)jAr%kN!*0|J;I2I@!Eq|J#ON24=jZ`n|KiE~OuNlW_HZY!;PN;sO
z419Su{KcpLVT6L|okBMVFyuBhF|4Evt<)bAGRNt*|Jif&^A{(O&NMC+6e~f}>D@ED
zZ|FfZjeYOk7#{c}T~YqlKnV<qJ}gJo8NuysVTps{4mi-!(#X}J2q!0ypy~%EI2pwt
z<yOK6-Inh!m4zunYQ5Y{;r4tKPtFTxJOtot?)lvtii%)UA9*kA7#mbLtpEB-6@qKe
zcSm0sQ-Es@cco6ABfx-GZ0$R35$LP`Az)gm0Qwc&<|Usvq4-<ef5E<D;F8kL7L}y{
z!rIoZSL}Hp#!CLWN|OY5I|^%WCM&@I00030{}h;aJk|df$L%d!_PEwv-0NO@eU5w6
zFd_+2sibA3%zTXqDOshVgperFkVN%)r$kmF6%k1yBO=*;e*d3y-jB!m<Gh~FcZz|k
zTLYg2{NizaJ?NzhrNKArc&=#z-LrRlX`&>&uKzlevtAtzu3U=^sndi(r;%tDNg9r3
z5KLsU2{586`tzNH7Casv7<e-&1NWu9O+Hv^!aYr9mSemYNZ6JLZ0cJN6P$APB}-cH
z$Yu2W3_%;No@{rGo|T6^evw4~PddOnZRmJrMjND53$EWbRst<XYw?375<I2oVd)%1
zFwFTqWL=;F{VOUL_I6SrHsZ`DGe;7{KRcS`ovjA0x;Nb%CUn6uD9=`Dgba86WEIGZ
z>cHCk?@1pY9kL`elsi6B;cBFhy1JhR+^D$mZ&gYk0wT^o3s$4S#Ln4co@1JD)$9Gz
zvMdAod=_qd4bj1E_MptwFm13cs2n=S$Ao&#SbN?;2F%?ZvK18|g7=|e^@2}K7&2Y2
z7OiUlwi~thtS^(`mA^UHmnZ{>nn-Itt7HTv-;2x^<tSh>oF%w0Y5)gV8+TqeHi5sr
z&u)1oP+?k&vwKq75N!Qj-dcy4!JbBm+ZOM1;fXzWgZ8)qxSzbw+gEP^z3XiYua4-!
zyw=wo9>29Y%%HD5${75{uYQQGr@^KVhZPc2nDC8tL7e>n;QRbsd5j(%93R^pKfRp+
z7g|2q)Z^B0{+iH$h7%nQa#ap_zM;boABC~ZauzJjI)2$<Lx=6Hr}e`}bV1|D$SM6W
zHay9gDX$WtLsgfS#`{4MEZyx2xhb{*qDb#AnQo;)dtA!kp;9gAdVE2U6tV$G%;%rR
z_4MFZ%R(dfF?BFb3Ju7(y#dUS!8gM?DvV5z)wq=_z$NW<V?RqaK#`1td#W-8XyZbs
zQlzBdzT>&|t+5+GlkA{J-njOjVm=1{3BXoK;gPdO8-OE3xVG6r2TCd|{z>S~V;%MP
zY=zs{P*bspy=G}a#j0XpPt*sDN#x6xa%IDdpljMH3=P=a>u8p9aR~3ARBp_A#{%8;
zSAx`Z)L~uM<Jn%vIh=QTYJC8U1@s_ZULjW%_;PDAx<%wf;$8bA)gD=cl6lPG&u0~&
z=?Oa->*Yb$#RXLbw5&lc#xHboS{9a!nmMhb_|eW&TGM{l0K%<W@9|uh0;)kBx@#$j
z;`W!RS4#t2wcGKfI!+v>T13X~Zxup}-0Ic?Bn)!m26#`n3q#zqQOAsKA>^dfA&(ha
zLD1`?79P5M@O_g2dmFDX+OO36W7^&lmQHXBrN?lBT}t<h=`kVX@%O{`b%7Re_>_-A
zZu$b&#78yfx+8>SUL`pU-Y|#W9oH*guKd9^b{^Vp;v|H0v5W2ZJI%npH|b4Iz%X{&
z)27Jew;*DC3$7@WHG?I+_R)gu&zQ}b6&3S~f~e~fp@Fd16x=VIx>dI4HkLeT&nmSM
zL~4q8<=ziW;2!bgp_8#~xSgis_ot$QC~=ym(<^8K3?*Hya|`{rn&JC1&65HsIojc!
z_z`0mtu7WT?jFWfk8asB@kapJs%uAFYBhqb++ijvoRj#wm(j=7*9#(^9g-C?W=61N
z!N%1$PvdXTrAplP5=8H3c)7OTH3YvS^*diV&EmUXBnFtZ3Zfk4i<-g&Ls(qW_IDx9
z;|8S*7#t8n%166Xi8%(axYB$>?aLzmdFl;eoFI(sMs8BlR1M&n{h6Dmf>-b#`)(^A
z5Eem{|7cMLMNIIQzGW01!-3+qe>vT%B8n6<Y?TxkOb`{%zA079iJBWR!+<^O&<Qi!
z%MPy?&?^ydc9oACIln35z1t*)y!nNThj%i-bmri!^)?>VyY<DSXoWbEXK8du%<6-x
zpZV8yMZ75Q&<(*i*CbGl@tp1Q6@7RhuvMs0fFE5vx7&Z^nk2e?eB5{f(}(0Dzhs#x
z0puDYcIW+LDWuil;b<~JhiUVs)f0R|=tZZ!`SCGnl*c#n!n%MC`#rv;*%k|<zKYYk
z)j$^2Wbq$K@S?+L`5}QxA5j#4UD}KKa6NjMHS2##gAVZyw$-;-Vu-KUV*VRj9$9d`
zoHFmHL4^&+uGTzpG-110K4w+{QR5l$ZOJs);8H&~_fP`KDHQHiYf?h&8o6CHb~Fg1
z2sUl+l0@BCoa0JrRgm}N%sLqY4HVo}xEy4pQQbYhx{d%f)cAhN$VP$&PE5;c<HItj
zQX!vLHdP&keWtXnD$*b@`s`!qkVX4K|EjdTAfRKZ8f{x`XkemP72@S4hmud3-q^&U
ziGCV{wxp!f!0*lkjr~_1Jz<f8ncK9G=bg%oha7b9dfTL8eoqmN&)u84Qm&2O^nP#o
z>OhC2h3roG7-e*gwy!5gj)=Y<or~yvK!+yb6CqMZRna-$JJ$Y5B$PkbY<o*jA9lO5
z674G0kV&0G_WV2<$u%8)zU7TR$a9!;OV+9*jdZ)Pp@UTPtYgskTm%Cw11+DXek35x
zUB$tN>UGhW%l@)9dnWAKFvRURrGdl^$4;3@(og`oE_B+`0Dc+sUnPoZp(eVtv%3l%
z#hibYzTjX8DLO9$C{%4k)5G^g-Jqj~33h%x{~1B?pMpEtY#o$thd3|}eN=5<ByUk?
z48At?F)NNl<nhgrVFmh#nE&4>P1_W#{%s<V>`3U;!<&R)H+|&5`dh7-Wd;v}!WY8y
z$cU}I+W2U#{=?@xjJvWHV6DPiC^Ah(Ev7C4CUbP89;sLN?~)~i@m5D`U!b69>w;6d
zk#v;stWRS=1cS`U9U|v=si;C&OL*fo8sc-48*?-PFv^=x{k@5b#=c&W$n4QYId`89
zntlQJ7B^$yzk`YdXTzdK8YxICpmxRTs5LY>-MjFPLPewa8OaMFBt&`lXczmNHHiN=
zzTB}^M_#eqvU5@!g;XVJZ?|ND+RsC8%nc}LW6v$|1t(2pc`P;YQzQ#I<RwsrFBx4;
z**WEPPaOr9^#3f(WdX-_*NLo95{h?pX`5xLpoX*jGvA6>Ao5bbKhu+l-sb$OuXmD1
z-M(G_S~6MiPv;JqO3*>kZSK(1ERD2xo;-5Gj|E<)X;1CjwUGVyYko;J;wY5BAUo)@
zz;})k+8v~c`X*#dJ~#@Y!J^Wx)gfyzt5|-rZJh=(yEQ*>io$~qZmN+N&9H{juE*<Q
ziq+ArBomoFp%vW7lCr&+VGUgyO0^s}tD(v))eYBk|KjT3c&}b<1yFa=`Fiw+G8)q}
zePGf(j@O*1-%mXRklds7pS_zRs!DwIQ8np1E@tZ25WIxJbp7UGY)lTdb|p|gG<?GE
zRk=I4k}=5JUUns_SQd2-^OpXiHsYfv-GaqDtiX=KLn}*_M%l@VdYgY&;amf0C#6#?
zK~qg^lUAN25^2~$wck^SZ(vqs?|N+ka(ACtD))+`zXgPv)`rXYf>3OG42K0^WqPaq
zXV;+xuHI;PlaIG@+@ZEvo5Qo}!IkT!!l<~w_5AIqNB9tPV{AZ@8T_<*Yw}J-5bY=n
zXG_?;#Mjn;*5iXITu=V-kJ-bAjz0<}#@=nj?;kPaiP18Jkf*+H75jNmBk#PE^RsrG
z&l{qv|1$v@AI^m$Ep9YESV5xS{*3Q7n2P@K(HO8ddw3^rbE39N6;6feuedk4qWGhc
zF~p5$ZPVS)fu@AYoc&)7;NdezynL=3LB*4uhL>_z@Vt@pS3VPm@Z7Vz_WJS|0U?dp
zI{SGEzvMg{{kL!g|0;GRzwWpp6swz@OFO)X-@0)p?vvp-KHJcaT)rDX1h-5-anl0s
zbV8B5;y;P!8{be`b~k|37k&@72F&9mt>~KH_J44)%=w<8b|##ZoB87Wc@BTKaW~I<
z(;1u`+}C62#Ds7clS2DbbNG$hu3PpS&*CA*JMtgAXMiou+EHfz94^MadH3ArIsD@F
z+?{`28E~(0td<oqhr2|kcpW~mfHyFX{#xzRU*rBr5%o7~a{@OUoPV-}M@p3wn*H=4
z(5~d*UG_XK`d3EJQ)Lw&zxHq0eVGoLwcZv9Q}ej{9a^+gCkHBwtP#GGL5BzftAy#+
z1$^NB;+(2J7czUHKUYtpLs+oTi;rtL`}4TFXwofi<eL5|G;S>~_6iY7Zpkg<zF!>b
zZyWL=xvTiljwU_$shB^0IB^B9Pu&*XG02D3)k*cTrSzcuuxX2@6bG{BKOBCgQUG;c
z8~Sp^TNl<Bkf3{+18Fz)p06$wLRlB~I6Qnt1&2eb1U?=vlzY#>6W)s;?#)}|L{zC@
zFCo2jQimG}*Sx-blpuyK5RQB?OQrzN@98<Iqdds2;<V4M4skTI^TE(xP71WQ{j&Po
z!i%)`js7~JFNr*I{s<|>lR-sV{O_q9{K&{xTw>~;6f&gwyH`t+;mm4Bt_QauQsrS+
z9<Y-^0r!Ikq{>O~fNPhJ_ZrW=*gU`Ch{$^M{`UE+cRWZ?zmR_Sajyt6+wGHoeOe9?
zlReG0tS7<7rB06=aWRzFkn}H!TM;QRC3mj-Nre6DGXuA*-4|u*=Kjl8%4nvAU>@E~
zgySQZ{4xY3QGAX+>wA$Z+F>JUd%Ted#dkXvr-G%>P;cyji0WD{H3kLl8YF`FjRkwk
zsx(q-7TlH-M?gU*ypOA?kYKRwd0c;qETW2$jA$zwD0<xXH9eBF#^=8>VnXFm>4`!s
ztqd&`%x%?`!A*t+k3I_FpaRNxoS-ghrh`h=GCp@cC4+}sTkOG;N=Tn7cF=Q{h!TZ)
z{)yhAKzi0#yVZRa)Oz28PqUVca>oJ>-EE@6>x+j{zr?Gdrv-W5O;@NWG(2)@i-8_A
z4+O`5eyNTw?u|)%d`u5T3H2xK{y~E{UUH3{s0Q*byl%XrN=MDyc6xjM&_STwEhzDT
zCZcV1YExRFBhT+|bx$cW;FVmxd&?^=q-5SYS>33Q^tS8{_BzG{uJS(;hT1wP=p$Q@
z9K}F3{YeU~Yrf_E>Ye7f1R|PTI3d&^%tXU<i+_cgMiBNcN8i4ighpJo?g#lXQIAHE
z$|f%pFl~N+tWJ@F#4dh(X?}@`0x5lfZ8QVDMA43oKt;7XvS)3gm?)>JGDH%ySo5-)
z#8gXN<c`;~dz6_d-n1gl$HEH6esziL6x2f;POF5NAO?CLSkz{-9)S1D=TMnzddNq?
z)VU>EA7zqwl-XR?FkVonUiwoHC7(3x7q+3Jf|J+69)7fj*udbu*q9#jNYz$j=jo!N
zLRc6(&jNLWD9^WrdT8^rz?pteG8!s-71^)C2I}~rf24#Sk~?aZYW!6jNd$8fij&wN
zT)ME-VW^8vS07pEwADbe@?zON4Q%lID;2#>j*8sT-`h?}s_5{Qzmci^Y%taxJuvx_
zj5hF+Oo!U!Q2tl$=*f0Aup@GM4q1{=xlLubTdpLMU^$036tZDKQG1WuWgTSr?Q3ur
zNeH<Wsy=+<$p#s<+4P9dS}0q!Sq(eGf$ElNmj{+vFd(&~W?`Ksy3{6Q_vY0ke&AH^
zQb#%q@~6M^jIs$RaLh#Ad$<vIVdTtK$g_ah^{;$7W{uO-Sfm3-dNGf(u*jBdYrq+1
zp3a%dh~_Em^T_2lW;VCXaa!3Ld}o#4uX9pB1qnya1r7eilHyNU?9Tys8X6WOX1*R>
zm0dbV-?e}V1?tF}ssjx2*r%p@NF&GCmJj{=mNCyafwF;HF(A}VhJ-(mK<`&5DYn=u
zW?2__fwbQW($ZPQQL*cg*)j91X$1~gEKd`2iM9kA^M!wTVnWE~Sth2AaX{fycQdU5
z3#jPZm-|tW58ZiOJ|(Kj0inz@+oIddVMndRa_><tbmdHj?rQZa#<kHyT9nTm_Lh&k
zB)YHQ4}6POmHw?@ij9<9Z?+kfDSr^iOPRyd{Z{!bWmhn>?3Dq5BvYuyA+N<}8rS++
zm-K+Tj14HX9yr}$0!0VwaE*d-d@~dwOWP%E8+*RiOUnejokLUfPyfJ6J`NoC8L^0Q
zcNSY3L>a@wePnmp>>k`T)lTky{Q~yep5Hvb+X#5D;isE!yu&Tq@3|NmFJR<98{=Fp
zjezAunzP7%fLA_EoU&@2$1=Q5RS4WNgof&~yIj<sV1eMrBBjq`58WC2A|wpqX0~mX
z)b|#Q(^FH&DP|s9x4V5NB+dXhgAL@4Sbf6i&()(mZp>qpvYFzRe@w{J;MmpB`4wBA
z#oih<I*&az3`y}g&ICt=BjuIj0~m>zJMrM?0`|e4@?>#>0g`df2?8cVSk2Z@z5&HW
z440_Rx)jKOF5TvkPWKVaXGGmWm}3bO-~Kb@|Gri=b-b^C_ZXJp5Ei>jZW;3(dUSes
zj6Nt1cWCr&|Bc1Hl%2IdxPtY)zw*^rL?4EQW-dEwOkp!YLY?KKtC)%F)(GYeI#8OQ
zlxF4q!Q2}R`1f~mz)ZNwr*eHdxSZ$95z(2!60%cz)H*n!V5*>}_96{fJ?^XJHGeTz
z$%8K+PIAG^h}WLkYq<&eUy~1d|HDS)#<nffc;M0f1{RO79t;SbFIpwcW7X<%?fMsa
zVNafHhMKc3u+w+UZ(3czPUiOry;tG~{h+fpIyb3sujjR%{PGgU-+^+<-U$FLbL-gN
zISRzwI)fipU&Z{&imRu~grGO@W(CEa0$)}Qzu&3i0Pk-zqiQci;Q3S*VHJ^~_g8Gc
z!aOH9KXZD$j#CUW5*>pBnPfQJbXB0ug&Xdwy!DxVE)JLcY(5y@CxLpz#pRk-9@v(1
zkUv*m66)3qhZvcV!1Xk1_reiA5Rl$R8@VI}6UNyOqt@~+C(AaigCqd;Khk1%8_GaZ
zNq~!601*h@$EKf42tm(1v)kDVve3C@jMq_>2qr((e(ll{fi9B!Y3E@%h@%}5xBR99
zxd*oMMIBxTf*v#xO-@C)bfk5wbEOWvI1yx>cuXAf*9RJ0-lPoCx@QcuZtB3HxXr$2
z-bjEgRefRfxhmW{Hj#lB>HrV(?&1b>DKPl>wRDN04jG>NBT8TEfXB|ky2tONfgwL(
z8=Oag+L*6)yu3sR8a_7nAVC(al&+r*)6s-4S-Tw~j}pN{f$Gw|M-I;2V<d;wYr)xs
zQ+fLrh;ZV3KyBDA1u*{lRF*472Poa@Zbj83h}-Tkwk<{p9w{~EMcR>|GvVvr*AK{W
z$vE`NfAuQh={nr-fk*)n$=CJ8Lu>gvy>mhEni`A_-fbmH=z``;-<Z(7x^OeOG$8t$
zI-Kp`-Q&Nc2jY*Lb!pmbz7L1)vrRN0yr+~;G>{HPf4-E+=hES9ZoEXwbxr8=&yEOj
z(}&3K$wwML>VxQR9}Yi$ZQ$B<_o)w+0jjHB3)$vOXkIkWEDqIy5ly>0u|F7)NbUCY
zZ83o5*zeIr14PIe$RO<tXTptFRm($XjlfVLDb$Ni1`2uNnnd?n|GvSuqJAb|UHr`|
zDvbhJ6U3d}t4vVW@W_AWYX)jA7y7c-xNl$aV*%)A!a@E}LQIqev^#A)_!8FzQvRl6
zj9?~IUEL=3;(`^7x9hTIQ}p1T{iQ(5Dh3pMb~0r;0I<XPmF1La5T9T6DB+$y{4~qo
zAYg3`^$>RB{s9^+s#n!)_n<>+%#-j2MHV#nm_;}2p@CJOZ`bTaT~KYBvi0g@L4>#z
zGfiNPa}|~~*2|G0Gg-GQ?GPLGGKjI&`}JV;gmcVeA8pu`J#y|+D;vxz`+Sm*>w?yf
zT4S#Q0$h?Xo(vG&0F@sPEQVN6;pf;;ssE@l44s!ud?UXB2us7%|60h9n2J}1%*lf5
ze_Iw#b8i5~rVo-%bP{N|o~0S)h{JzjTYnRp*>LWTR#5P99iRptkS5OaLS~$3(#%OV
z1WZ27ce|klrnFU&&na`5s~y`UK#C3AC#8n+aSe#eJlgT6s2_9eV^!S9VL{=-(2K_d
z>R?dzX0|$}1NW->9Mi1Ef|Q%Qfv#d|;9SBGd3|jH-<!63d0UP(oc7o5CuAwX$G?2?
zp_~5Ul}btblNGFCO!m*=NK78WN8~1qiOaa~@AQ%JD*$a_e3cgRvT*8H&ENNh97x2b
z=!cFR06ChkRh}XRrN?-iZ8^A5rhcYgnh6Ho7jDyzhKWPJyUp-mGZ!k>V+_=8u>v!J
zmu&K~FeEg{eK4bPqr*q9nI1S`359OFNej{Z;1M_wxn#zT-U_$tha_3RTW<M2bc`E1
zRr~TaB)HLuALs2$ADhEPLbJ=A3#*v%@TS^bwOnX8gD81v)C?{+xG9YZ%ww@iC30u?
zaG~jKJY2U)|Nk%b<OyO-V-m$XDmMM$L_8aaV=l)`!F_4Fz?J1uOrK+4M8p|R#Qmi;
zL-v^od}QBp{8&AJ5e=^_AT3Tr3iHwq5Ho@AOyx1Rxeu66p&50koddNcx-I-VYz*hs
z<(PhwPqAYc1<l|h2Wm`+uqQVdL2*s|H-Y#XJY_4rit8u`im17^@R4c+0@b}weD1g7
zq4}~l@jE$?Q2K|=;>(6G7?w3ryt^0AKCbXR+?xaWD$P^&^BRID`fx7s{C7M)Y9Nqs
zmIECkl}Nu2Hvqj%mETGH!}vJPl^fo~ffA}cYMUmR5SUR|?`$xJuf_-5*+St&c>&g~
zbpJK34o`U1B{_*}*%EnnlyIWjBT5EC;|#!`InPJVPT}^KuaE8B$c5-?oeiH)Fkpz&
z@TgeJG%n028?xi(Mx3UnMi&?Lp<DFY+qoNm@yjZjbqe3OQJ8<%u`Oryp*F>`lo0q2
z=e7Se!~Km1X}?l@`BFh2q$Wzgt+SoSt902(;XHguP`Av&?>-&Q-~C`TuD^&+RCyes
zIPjwhLq?sOEgfQ6S9jmnUB*Kfe=o~E7eEq{wW`MNY4EO+RIkon#idKz568L+p@kZI
zuluqzaQt#pbD@R<ZRX<%UsV)AU;mEQ9rw|LcY})+zlJ%{nIe{6sQ5axPxIl9U(a>n
z@zyPutSH=QU4QA$6h(1lpDcIqmYOcCZsQXFn!tln9?9xdZIM78)n-J;R4TM`j5NMl
z<V6Q-OeSt-N+R`igFjFCsSvd@zMM0iAEhD^m-C7gI$nA0z+egmNCW)7uWbZT!d8it
zUr913^z+RK4gv*6UPaP&s0pJ{LgB+)qxFau(wg>P9T{Hk@@30wh@zFpw*>DB$|H@{
z1D^a5YaUnl<8A6TF%&(!e~%fDBGPWuXe+QL!>BGdXTc|NMEQ0i*qx}1Fh|QrB`RbX
zcx}l$sw#<o7QL}*4O2xYZ4PI4N|7Of$h+cmS_(zsz23|7YG`Y6$t7n^GUWU`8}^o4
z27P?>Wcb}y0=lojsrq_58JgFr<dx*hqOUDY=}y%esM%tO>`+98?#$dP-uvWG!)n^b
zZgVYE=F_t2q8bHQwm%MXS}P#aPuLxfc5Re$qNTFBo&twxm#@pRl#uy&wUJu{5xqUu
zZSKCtGrwGzC7B0Q(3h;qEV@1!sabw^ba|u;n`@hFnzpMUrTq^g+@~n$oxOWTH8%~?
z_ZE(1#H*uosd+NZk93i!Q`dK6dphtBBfZ&L0+K$$DRuG~4YeHc3qN444?q0Bw8V&L
zq8c@|j>PkH)b1CR9<z-B(|!5u+TB{H@=M*h;BETIy8TcFp2h_4Gb-Yi5490JHu!Pw
ziazoSI{!dq)&Lq4%I@3n5K;QR4`Hli1`_8#nVA-61V1Bd^tc>I$Zxt>Lt%n}E_teE
zu=GtJRoH*>zj!iYjV02S*ZlFy_4^O6ESiFk%07+un-rw*x<Dgel8I>FW72Iuo5OHW
zz*72kD*AEchuOJ02I~Lut39;F5_U&1pXeRdMFQ`S&Cf6xNIN=JP~Zv%{)gXuC|=P;
zR+|&59((8`FD~o4x_baq%G<*X-1N}pN1wS~038JjIFFP@T7zwcL;kq09(sNw=<?xi
zU6i!%Ip-ps1rk2f-~3GVP^U9>Bgbbl>g0|zd-9qEXS9C!Q*d3RZ1ZCB<`o^3ZSl(m
zG1;)QoFQGfN<}5g$sGx%n&|c;5o@hTHW0W370Db_q=JV$sOnWiFEg<LgB&(6`WNIQ
z8_1}cXMJ@ROA!f2<zBGKX2aWPvYh6A652;;CGR(pLHoM=h#Ml<P+#Au^!$?!DhfS#
zzA8ox$*O+*p<&5}q5Rj$#s=DGm~WT+wq9Oj*S4eB_7@9o;X9w|$7v$&`lAt9#*6q1
zs`*Q?Gc2&S|HmEFL_jmj7~}T0U--FQ3`tKp7P#D=e3vGtjy`X<nNH)c#qa-gt2vx+
z4PD(sPkg_rpaILyk5zWvn3Jjb&N8AkIGS8HG=8Lr2DdNDcNhG^F5i(%?Oxk+!(c+9
zOt~Cdm-mk}xakkpVa-h&VghJl-;XbL%b<c=CC5MGf3bB5cc^>9G05NKwm;oW3QhIZ
z$Y30E*iP@VVrrTdC`o*5IQvc<iQoID)UbKYkA%&p&F)#kxv7jl>kLHE{{R30|Njh^
zcRba96vpj6uD$oQ*S)wl-(!`A5*blOBwHep8A_#+RZ57gXb@2;-%m+KDv9i}GJcf3
z*ROw{zn<55opavLW9PA&Zu4y&`-(BrQGYiCw^a8pU1VnTyfp7<Rm(cItX7nEo5~R0
zU97V@kU@_kdB_g*PU~2G`UdKx7=ZNy>V*wE8Z^n(Zg$||8n$sZ^kC3geYn4B-NiS&
zga26e|DcCfG2erOw-{>l;Qq41uEy(iJmk(v3g^cajNVx6vnG`u7|T!K9E!_0+k>$a
zryG|s|6x|fRBK%r8@r};Qeqx&JpF;2`qL72>r>pDx5YXzIqp>EEk2FEEtAPSGqi|3
zRXyn7PNM^{^b6nAe~jVFbLXnxuq|RtpWLNYJhY+2M8DMj?oYg&U9xuk=mKW`wAiY<
znF6CieQiRWoj9@anx@N}dCXAl$|<5I1#S`y;~3nV@!Fu1xhE~=vE-TG2?P0B(4#AN
zp-td9o)8|Hd31gb%XeY+{>rNb1eP0>tCtF}z_))k*U%g`eNjBEBUuy12ij@d|3lb;
zd)-sds^_q_jO%9+gC=|kv$%4By$yR2%zQY%Z4R4p34U?@k_LPgWLHU({Ei83yKfCK
z&0__bwom#PH9#!tYPIM<H#Rn;eK*->9;4P_9sF{G3=_6K;zrg3Sa0ZD|KQ(wtlrEp
z&rpC2FSLW*M=gi26P>-Jy>}O|AshZFjzSWoHoQ_9J2ry(j}pFx`z&Jn=Bed0wMZa;
zv0(3%#~3C+T$4TPwuH4=L?6{iQ3p2&77-5`#|C~^XeP%lV}qsKVP0?4pww@&lbkS#
znI#PtM>nrv>l>O5Gqb8N9aeKMtmHpzFDx(w7_DI<zh%U$6jh<j{>Y)-kr|AjX&&}>
zXdP?V$)c+8QGpj0A%E%&XEA%%y|#p!O)SLvE6uNG${;Kt?%X;!hZT{XHr&xRwi};4
zZMLNZZRf&8Of?rU6(PC*wyCMWPh9NW^dTkqb3IDmv0xEnn>PF1U`h>Q+0zX(C5kX<
z{jBVr+A_v0`;c3<hz8uo1;~DkieUJsm*PIKg5^9(a^q8>gCk;cVOaqRu<`nktnITk
zjJH2u`&S=5h!~q&)%M9l4A@t$m2Y7B(a*UQUNC~9Wn8xSVR_g))vHO{y@gp7H-28K
zXNF*zEMucja)5F8u*Fh#u?=f0izi#GaGYA=e(qs8a5ax&3L2+^;&%2X@emGJyRphM
zHy{go<uk=`M`(ccz$>TvbOKm#8b>jP%0hyzdB5Z@TIhCF(s;(n4W}$M+W+H|1%l*k
zZe1EZTn=@PK3>5Ch8Yz`y$wX5?4NJh31WoV06;*$zigg?sc=4M)8Tnz7fXa7<5PIw
z1!h=Ha5TQ>F92Q6v^JXiiQqnzQx#Xs3aiwNQ|P7;?Db=jc_>E&H^JWfCzLoqcVRTV
zd_)99=I>aT3lQPl=C}P!{sg$nGyOE)PaOQ?`Sd6fM94^-zxiZ@3#xS8N;q#zLNQ?_
zRnC+MZ*gL7Vk8e7ZvQlKnnxPGdZe-kCKACXeIQ{%mk&;#=(~04sSJGo_Up0WG!fVz
zI~`&Z6M!GIj0Tra%feL4T+w=@EZll25I?3U1nR$>b{`qZ!$y74$a5n(_)N$XSa1^o
zkF~&ZI(0>0oqS^dTt^;ufs2XIAO;0KE}Rm&%HZ)==(X5c1u)=aJHoFZ3AA65qpsSj
zLT>yui^63^AirrbyO1CSr#?94dPJy0UCt(1<&!eZPQN$PS&)YPC7$NNUrBJ^T`<Xd
zQx!I(a=jXZiBQULQ)8iz412FMadhk<!7HoXGP@mFIOvf6_~;J}xUwZr)!RUZr=zx7
zS!wccxmBMqRig<t{B(B*&uPMC{k-1m@`|8K(xvq}qXmY>MSt_0DUfq1?}AUY62zUH
zZ1-8#0;k$V=ejdGFn;(IccGdJG;y_AIp|VAi`gf0^|2m=AN!`FeoYmw?kxUDRiQu+
zA&#Ms))1^JxSuY)QUiHXk{Ls@7DNd$6g~1ZhHdVfdFd7E@W5bl;TxS69P4g8e)R<W
z+mGbh$0QQ`;h*e#Gok@T?)R1;+yv-*xO<<uk)W`;GE~`{47-78t=#8LL28*|f7Fu%
zF08Wr{^siN^g@@-qr+yvSgONvS&szI6<zc~_bP*aXK3>5x*2%=^2}&L>Ol8##(jZ7
z9>TJ6&TgDB2X9xo<%}9NDDG{s*Q%0+lMPlCkyYmKr)@A7JD~~==k8T%Es26e)tBUw
z26MP?9mVt+DTATP&zrXNe6W50uf_dhb1*e&D0iJz1e%%2th=SGpueJO80KLPnYFgJ
z>DJ_7va9_4OMxBC$z+LnAB{O2X?*+Z&Xg<&Ye@8j+6-f@CmQaNlFi_@8|n71Z!*wF
zIfmQp4&zu_%bjd`Gr&ELT%CC%1;Qfl8vI39aVz7)_xk_MVJ3;;c!G}vu;gi8(4nJ7
zzS3MrR>n=>YV#@S;CK-z&)n(=7Nkcl-i9@$_9k$k$jVZoT>u=J4hM?UF`>%TK(}ix
z0Dg6kqdc8>foct7D%)X33$9olm;kiXHEd<ea)BYy$6-aE6)i`HvinD4aPF|3q||9P
z*qpg4_V+g{x>%7jnw4k_@z0m;*D*4JR6n_eRgMkmI7~KkXBolIH{Eor3N&zmS&=nH
zgbh8gEjt@jYX~s{HSKS&Y+^E2908?6tjPaz(k+@110bIhWUqd>h_&#dmG*0_D70^4
znp(gBl-gHv1f-_0!rT2!14^uj|HSU~96NmwJ@Ju{GTVchWa&52eqllK+m`JdIeMVr
ztyFv(E5JVZZZF5hupnYC*Xn~AU7%8yilw9Nzy~g?)k&JOAln8TlNV;X(3AH=rbv7Q
zAKHu+`bcC!w<2a`KIH2F&EUz~O%DIzKgAt?b^p_2$}YV>&Y%O7q`k_y6La`*@b#DX
z_p+eiU&o_lg0+D?f=rWcvxNK2{C6fPg$40?hY7Y1Q=p&pj94AHia#dgUOczMg8q&y
z|EKIo0SA_)h3+#OIEB?>bU2e0Jzi>7B6Mnj(et(PM&oT<dQa^Xy8|04OZU3%X{QBo
za*c_5=XdeQcb%0|X6&e>{70DhfF{J2*Bd|BM~$jH2>uq%9H`j!4g+{=f|0d`%E>!4
zXpkl_t@;5c>XAq`>{-`<k2s%p);KMaeOEMl>KXwxJUhQeld1v6gLmW#4CqnA&+H>t
zk8`2whtF?JscOKjp~ScM?=hg{DD(Nez1&DD`EF@LI~hVv4p#azGNFX)inTchdC<e6
zmgJrYGQ7Xbd87FfGb$fG9(lu`7ik6P7sM%&fg_Ag#zcq}>C{vP-YDfmU%zghlpi8N
zpQpk;%SJY|Gnk{)LM?!1Wf<bEa!Igg8IwY}!GRbjl?cHRf@ry_#4GvV{qyuB?j!0G
zP-E(B%u|9ey7%#Zf4U|Kly6UBoyJ^<latvhqge!{c3J<{W+TCV++TuZ&y8|D>04O}
z#L%neHfZ^&4!NsbPURPQ&;yt7$eJ7p<Yo}F>iR|<o_zbMl>eR=O})={m>HBrZH>5a
zL6tgOJE2%~K$su7ck##Y?nt2|Mzh0KP3jOvTb*8eRRG<aTsrezO$IrS^PUdaPzRb5
zg-@!vgb<-6Gm;!cM7I`3o~S60KuWEy?A>!=q|rg!n)g-~9lcj^-p-2zk-AGAi~gc0
za%f*)r+_@_$aapr^NIxF8Tns(F>%yuy2@C5K>^vC%xwOaA;T8i$q5xcNo12Q&NDQu
zh#aFgE!0ZL&{*1lTkuICu9UbcDNAMKInI8;$U+0s-q_t}5|>8v4_45dVihzhVLFhr
zs{!?|MOrG=Wsr)z6tQqw70nch2>Equf?wxKx~l~dJyeYJ3RG4{`#v2V68o$L`-8co
z&mWgXs*FJ!uf<7d`r5!_>mdppD}7Qkd`1r4vUSiR+#(_V4`HbnIdve~TUx(4S{}8g
zlpZe|C85;}s)OAQx*(Gzb-yrL0kNlODW&m{QI(^(%R;pt6tNUCyZS1kQROOG8(}iK
zb%bfKQ_=uRkM#G&87U$D8;AJMEt1fEt6v5)>4qSA*H}ApP6@r5X$oPvPeS*YR`2hj
zH->4!2>;zEWt2db+bO|ALO!<7)7E@3IA$Aa?=h&1CeKS+YFDeFLy;-R9RKmiPAu~&
z6T1p>GgIUGFr|Xb=H!yJmjNOgUoX@#si25^Q5A9DmC(9u_~+bzobsKOF5mg0jC@lo
z7P;dU(C#eJeQVSNW+-Nf8g9y{u<_F24JJ7xHj;T_RLd0Rn#kd~^-Achh3pt(v<%{>
z1j*_6nnIi5^9Kk2Dk5Q<%_I1NB*MgsTvZZHfqZZ;W8;zn>QpV7tzH*J0|tR23jcH(
zhLp^wJ@Uvi;oKDydqH&7-fA?#-xNIb3#3ox%b_{feS;@>c#$8z&S(mzz`xlf5M?im
zI=}Bu`Ir!pCLd=^J&h^cPM%3Pzbk`w2nG<`!HiNByqdgfO@P`b=d{y9X>>g4+58_N
zI<&ZWcPG}}1WI{=0?u1Xp_SO7yRVCO@R;FO20OGS;9fV_lRPPbEIXWKN(NVOf#zbh
zfP4TFrFrANy%>tJ53ZN5p2O3G2cjno0IK^vGmnf2Ba&5&b<yes{^8a00*x{ZJZbc~
z*i!}3NrG^KHp?)cpj{N5F<=ae_G()<z4(#!GthdG*n_iRR$)H~#!yJunvp%li>xLt
zync|<fjjTFA3tDe1cIMSOeSt{BX4sK?J<R~_{ORH@a_adC=U6iKQTl=+-l{u`OIH%
zul%R13?B@Dk3P42;57%zSG;@d>8W<y>hbX;S!M&krt3#+>DbVD*~!3_L*MZ)lhPgz
zw)*hh@r~!xd(0>+yFe?#w;LaE)Dp@o(1UTjBkgMhBVx&qI^uqI0B`yk%=l+T7bZA*
z+)Q%lQT8k~dL=N7+XO2($^Gk_t+GyuUQ~3b?dn?b1A{SK(r{mn(o-E6BCQ4&<kFx^
zWdrt<%n3Z|@U8f6f)3me{o@-RLXC)OI}c-prt!OF3wEsG+VBZk{Vupbg{WDl0u$f;
z#pyG;<BLZr;K?Z}vd?W7|8v@}s@;4Zw|vEW{<<v%MEm*)rII^%{@14OvAT=+-nbF5
z!X_=aJnymfQGFZ#k}O5KX}FBDJEn^DU|Jw>-04|M(iYy`!a-YQvx<K+C|luwqY3!R
zk^gSXY~dzxM?}M-*KwhMT_IaTO*rpVM(Eku#8W!cl?Z4P-+h%zmw+_j)XxEf6}~O}
zQSU1U8}S`HR5Hsi-%<nYPwQmxd2QhnU3WzHAEH9i`!`~rbdn*g^-KxppDlbVF6-9!
zJZj`{xaCl}CmHNSBdh`*ZR6Gj1<PIxw8$pN%dBvX1XRhBSKRLH;2a_<lz~J#WIXfZ
zYsoDV6vQ=G*5kXlNdM38AkKjN?Kq)Lg#<S4iYeRIsStsez|+&khzfEnB3<vPgL0LN
z2A3T*%5dK)7kS2vVz!KV7f01VLRdm<T9*d#M#t5>dBTdWUa$XKqpb#MTo?Zq>d_*q
zR4J3fE_RghNb8_{x+=IsPf(sC9m<U+CPnZO(7A{u`N4G+sH&M|zIcZoIXZux*mdMW
z7GzU~bUzia_vIGWT4O+g2?5t0)pDb+1<$W3O(_G%qUrcp6cZ}#URwXE$%~qQn@l|q
zQHGJVoBccTEa<`vt?<BCKIBR*YI=rE8Pp3ROBJ?Q5tWIXk<m>7<ljX-Kl(4<lSV{K
zjJMd4j&t4N<H17crqjo^u0SPl-Do;n^v~a?<e<5$ks`>;&=hkqRD!p^n^z6@a3QKk
z>{8=T#gH{S?9NFj!TP?vg_lyfQTV>|D|rl(Xgt@O$y-zjmbO32im&q^>a4VT%Lk;8
zHK&gX2So|Ke&AiojNwBW@%`3~CDJHFN)RgzPy%f?Vx5zW0HQi<-Sb<Bh};~fPe-;Y
zL6)JT?Sn}{bT_l&%GG>X^hqw@>LF`oP;JjQGW{xyF3h&Fu^GuDy+^|f9&{>@-q}%*
z(=CehLYAM@PAQ<?@5Z&KXH+0biI&lWS^_;<DzZp;sDvur*rg9~s6m8|bLq1pNtF5G
zO4=t+6||I&wnfjV1Bc6wd2X*1;x8&Bu*<0-f2?}DEtv$<b>TZX!ZK*=Z){HSpgIb2
zY7U=CB*STyifb#Uh)BjeHLeFIp&!Gu8n#6mki|55da+g({V{iWvmHZ5RF{`5C;n){
z2;U=>kF4@Yt?#3qBvAt$z`d(wTqw{NSz;0DtbpF{aW^|!tbqvQ-6h3~+7QpaW89sm
zh?pNC<)d2~NM?U>_s2)NFgx71ueMzY4K=IA5ydo-QdcF(EJ7ckJNpmAZ)KG7<{b5J
zDoy0Sk~mCsG=!bh4Q2E1D(K`XMk<uAf%>OHmZ$ZMq0gM|{7$MWGUVb?>fIuvU&kws
zvM~YZG+8oT5L83;Ri<U!|G2C@Dc*7IH$X;>XN<e68k)c=f>%4#QJtiy?W-pyV9o_n
zXWZ2gzvs_8N!+SPW}^3S;W1M<PT$J9C8CC)OC!a6M-iEg)_69JnnK+dtIPXRR1tgF
zuXnN4a>z%%yf@X-3}Q`wgl5(M%O!MAu4mcFAm17J?8leQpz3AI$;oHRNTSSyv_&O}
zy6lZjR&veYbVKT?C_g3iF;|gktxyQHz75>f%P@n>X4hRbHWiRepI*aT#Dgw*=botc
zH3MN|>8l@o<k8L3=fh&B*wCAIWYai#GpHQ$SrvINi}W4Xx9p2)QR(W$2ZnZ2crbpq
zEQf=L{!{bzE4;Fb-*l>Cxa?yJQy1&cesGjVGR%Bc_H$#nP>-4L>opUwDH~XAER{rY
zojCi2m^0W>TcSkSMH8s_95T?wB983hU;bizFoe~<k5JBJG=b%N^f_#k!bm!-O7DR9
zAB<VnNPYD>fa{aOEtYu!B)Y$8=dI8p*3frTFNX)9P5aAnX=OeXU%Sa$qql+ubbb;{
z(8J(oQngdiU2atQjdS;v<{HLz%{Ix_#uzq-T!tt{1hm+)YUE_GjydyhWM4jO1T2%m
zwc#pk=y*7TlyTuY=AI*YDEyuwu;hn@nCxLfM4`M!o|tuPXCjqZt<?YsZqL*#8|YBo
znyK3Q+8TCX>)_HkY6IxFr17vjhZ^;C$mT0)tzo~^61jFTeYm`2rt~X!8xP%O$o^)z
zie(8FWP4uHg9`TQ4!wdkT)w+;qJRHC|B)|f%)aTu`|v-JF*-}QeU0YRPy3d!)I$Fu
zEg4;i$yBL`vYx|lzb<b*e`E=Z%s4_da6t#I#X4&@)lcDa4};;Q?;^JMz3s`7Zf)3a
zGCjETWE9^%z;JRqdjWef^54XUo;DCpIa3772k_tfve`PO=CK5+yQ;$vC?M<PTpeTh
z9e;M->+pVudF;L9>lsHj3WV$IyRhBTh}TeP9o@#~u#wwJMAaxQ2zwtAFg;O@M~u}y
zGs&963In`J>T{alB9$1Dv|WlVB)j$A44A_@3>jxA|N2*!ltRpi%zLb4Ny;+CYYxNo
zea1z{G+^tp`KtPC8@9D@Al^A)4$Ii@U)$iJ0e@K-8cO}XW2ZcP_;(xTFkiCLS@sDs
zFxdT#%x37p7#=e8rz^~3UB67UhXTl88l<gM=rVwDOI0;ERL*0m&l(4b|2Sx>v9Ds=
zYzUiuQR-XovVe&g2R44ZL;{Oh@rktkBbeu}$UU*-Ma<j2;c*o|30jWr&fh;UhULBZ
z;*zhlgvky(a;&vehaWKp=eZ7#W0GYS8kY_%V;Sc|E}l$O1G7&BrDu*$Vn=U(KKUne
z1@l4i-)&y0f*L#L@6ikYVFCU}9x|}4VLw@A-ke`jf!$9(CY&l~FlLv5{XrG$*x^g(
zN<UImV76cAK?%bwwvx4H!1(eewrl70(I8qGjAbl++t3{LyvnSeJ#`z4>r>e1`^SZy
zxWm7$@-ASuoN89vox9k{Z`+)e;!2<;_QsPxei8GnFHmz+rUs3C6RoarMaVM~X_sJM
z#$rOb1Uqifzza{Kdf#3JF#9avnDA-^i|DKyYvZK@5jUz64?zL^!~?~SC9h!_{LHWO
z8t5UQqWtB%r}Ds}M;*U=c?0vVrSL50Fv9sfv0PE2JOl<w?3b(D!kS!TWV=h4L8h<u
zi*&vmsGnmA>*d(ROaemhSN&!MkJ5K(u5xnl;?|As#ttfooev_p9Or;b+4Aaf)v_Sk
zeu4g$5e?jK?ySCYg#gPTRi~W}%7SYf*<-zx7IrkfZEEPap}AU%vh<e-Y{ud`XJY8#
zj}1F#Z4nQQPdE);&mqEDAx)<uXGZYosH><7<bxJQ*E=Q0h~QbfvT)st8Prq5ca}~H
zfWtWJn1C!1rc-O%jz46D$g{pZotK25PguB$lZFUpPg$Ll_&MNZgTemNJ`retJmR3f
zC<DxKF9nXBB*5Bwuge2ZaflWSlDo4h1N?`!WNmx7AWkwd>TtRwoaF=S4RIoTI^3gh
z|11xL7(da9;gW^`-%py)-HGs*@RK2(#0TkNSGMjyk%6KI*7fbpM37WDMGoN;0JCSA
zg<np~0t2VyGj%6f_%vNWuO%Y{cQ6HtBPI`HO<h3|qH<8Iw_0?<Sp?RqTpu3MP=wBa
zmJf0Q@=!6uYx%8S3`9?d`Rp-L2B-YGAHFsUaBaUw#ydGlsFgdw(d48GRC<rZ>AMvH
zxpqZ!CrCl3;KTaacy*{IKI{JbL>b;UUx^!9kcI_Pn_pNL2@>9?IrjWgg%>Ga!i6D3
zxWl^t%$^Z4<TWKGQ1nS4=w<ogI<*`qUT_`R{HXz+MtU<3Uy@<Z@A-&5cjO^)oxu46
zX@ZHfgs8i}COnO_zSW|t2qQi5p64R9pt7~MMB^w0iiO7g;EfX8wm5g{1T_WZR7@PJ
z{B(e3Udw<>R|W3vKWO^hoB}L<-&^v_^dOeA@TPF4Dtw;I{4J_Sfy8fXtwD5#@FRtN
zUG1Y9L_W{d=IH$Qzv!Y*S$G=*(ZN5y^Q}6B{U@XOf>R69QQ%C68$j=rw%P+75;%3h
z%bsZs*w|E3n20igz~S7lb*D+7FLU+WpFlEvUHx6~Gs+a!w3ANj_>lm}lUJM$s)H3x
zz1?AZGw@M(7Q2Q0%iVO^fA{TE2F9j~Z~3XsVK(r3_^~#1u#U_9lSLyBlQ)Z=ScIDc
z<FOa#jv+NDTX>hfTPh6|ilK4oug#&kd9teCQx%3<chmy9M1jHQe70$;IqVsJFhKoL
z8IFjbm)sfT1^dzZ!NkYrur;{D&bFWk;)%4MhYqsB-{LW&>)z&&@>khXW=$Sw3g&h-
z4{c))^o48U7|em?kY19(ge>^~?GR70{e=m~0(Z(yGq_fK)K>Mg3{a)`bmmo#;uz*@
zs=;Ii(g~M|{54V_Nuln4x4eq0Scpb6M3};O*+C;JM+u<Yd-}t%AZnEIv~u>qqzNnp
zg+96&AOfELw{WJ5^yt^0Ozx`=CgA-bM92B10OT#C#+CRmq4$ndKM1V=d)yAH2m>#?
zsGJ+3cV|J5hgZH`G65JhKy*6HTo5uA6=ijg6^Rqx4Ch2+psv?E^;wAxu9#eByJyOV
zBL4eLcRSG-s*XP|KGVzq_7dCEiE(Tw>yvWc+8rYZ`z3Kld4d|8*1N0@g|ea2t9(m#
zwT3V)x>`3vwTZQfEw#AovZ1^~x{BMw1`yiY6DA|Lh;cRAt1ynRqFvw4lac}kpzz~i
zvmNauHYEA-g=9P{qPI)ynz7Rd#?-fKttCIOR5M2NF<Dl$?`hV%yE%G5HI&64Mc#`~
z1{Zi;>SjUHT7eU1{^){0{#uUl$xeK8opbI}E(>~Eqj9CfTo-0|$IbU19mS&sGnX<i
zvLIB~e@XkH4lLxTKKzhAjk9eDGVDoYK`uWuKPfZmfYQ3o7sjje_|cdgKZ!CHR9PYT
z$v#9ILXxanU#u?Sa~b^sY0E6A0?RK58l%8iqt2BX;u?NGVY2UnH!FJCIi&;66d3Pd
z&`lBF#5+XWahrd=pQ&Irxu9DM*o5|_pPAprJ!A=z&aG^S*>~tf>@h8Pr?q?g`B5rl
zpY}-WO&vR$;x1GBJfsO}dCRXKmr^5p-q`5eUJm3i!BmzKpb2;A7Kf|XY0x=N=iXdy
z0t!u73hmz2fGag$vZD{uAu{2e*5+3Niou?`yuYIX<6LqozD4v%_{V<<B}H85xNXy1
zBt-)fny78>F)<>wGpyP%8QjQAEx^gRmkb}7Uu!K#Fd?5JcEjKt9&|hXdX;Sg88WlI
zxHY$#5x=dR;gxs1=*oS+3;``Nyg#=0%I{28^!nRI`T#XQ>bTUpy*5n({{zGHF?-oj
zgvHmHG*<!i%zigHs+<JEJ1#0Ve4Hp&af+d%Ul56%@R%_UA%W$Is@_8v2}rb`!?fnS
zFxu)gNm?}{!9|_gO1R2}UR)^MXQCyF{s#a6|NjhEcR1Dm7q|B&dtRH1d#^n|2az(8
zA|fNBVU!g~l!g*2Boc+t&@f6y-NUbMQ$-O`B(hg#nLq!Y=REJ{ocDP>ui?yBXm?ze
z0`E+6x33oq;S$d_EgK<OG&uV&h|Wxbr%vTzi=Tzjo2QXWnNuE1nd&BMMs#2&=N0mC
zu}yf?{#TcQqylQbz9uX^r~?hLJXy~oMDem_%qJN$68_J}t2=yM2jbc?hRT17VZ+Fs
zE{iZlOtu!236iEjhsB_tNVo(Rj|GyG9x35HhHuLM+eQHga&zOZO;R{Q4It~TDPy$r
zY~77i3Y55M{tNspjn6W!b$;KiiY8wz#@hQSV9?n6sIp8J^<_RiR;*RS05&C;JuXym
zf<w{ETjjCPFWvU0j0Wn&b1`srQDFqbhf=pG;KX18K26lb`<jiv^5bdH5XY3tw2Oob
z*0R!PJIN?yPN_X@stbqXyJ!{xidcCiA@{wUHuC*ftXCnX2WOO(M~=rTVV&;<n<aZ4
zj5^XY9VVy`QL+c@t<#jzm+gNaHPtEj#`Von88rj=Z{4ZSr$7Z4mMbLgWKwXiA6v>_
z4?`IKc9eObR22!*_WN<Y6uhOmJ*c<X2-K!FPa79*?4w&*@s*8=gC+MyH5g6chq9iX
zZL&IU_gYLl&qBq#8pS;~f=xl|w&y~=iw0IzdbLNkQP8Nu<oMxkGjQlKkNmWvfzm1T
zb>S!qUOeVpn6t$KGCvH2G;Hkub077=_y2Uz61Q{HN(o@}I-0iHu89LQq3caH+DM(a
zBAap)U@U)i&30K6r*}B@oH#<pyF5%IHk_7FyNhDlG_HxQv20ZiJ2mhu8&f=YvL)<u
z^^4wdR};@wR7vTttKz!ii>2goOAvMu9Im8l;x9FFPE)cna)~5`UNy7=?)*xhg!3Bs
z!cS8*kx>!HzfmeY_FKVGjSKZF73#RFKk1{-NqM}wHRriyycG!ddS36TQo|qSC;02g
z(%Ab+g!6lh6%0kp{@0zQin4l2sjqH}q5qz%JFk0LLG-T?`z>B7XmdwhaetyPN`>RL
zb6Qp)cy`J9wxBYW9+8jj%;v`?#+>(a6P9qN_MMMSgCd>`Xl1IC=fo=Wf(Xk(OQ8SB
zuv*(kLf1ry?<`=(^bbo<a<*B5>*OWUD7OMm_O(C#BeX_0V`<>~G7f<3w-qnP%AsR%
z+oq|a1$v;9f4*-DKziL;Z~L?~KL0o-QTyLCT~ns_o|Q5{(?4BGWU?gwe(R^|d1IJ<
zvr~FlHh}<Z7sty-EyZz(q2+&~Qorass(<VMtFVBef%HOmk|+*(s(FUGchh(2-&N}x
zGKVjz4XQe15$xIF*v~W9PJh}oV$Yyp4$3qOt^pq*<gk0dlO6hnF8p2nCgE)cEgio#
zL!JwuJJZUUFQ#AU$JA0Bq;8o)Voh$$LNXspj%ux)8g8Rkt(bUs51PQYde7*<0d8df
zLMk2L@1)CK@wP3XnSe8O%hl{uPP8{*zEJG*oj&Fqk{EQ_7(C_JRu9Ls<HYuk*<0^^
z(tY01UMqbwf;yw@tI3a8u_L@Hp7x@jZh7l{DqYtIa-LsXbx~l!zpfRm7ZwKTc9JwT
z@k~Q_<dstD_<;!vACl_U0!Ha-HrxF977gI8SigtpBSw4&dnV)8C+I&p_P$Q?F@U%X
zw*zOJ81R$(N5O&KY5F-XZXWk$ec(>Xd)C0rfRCz}#KT)>=z8b1rX$VuK}D{iB(P_V
zE~@`&w`JQL{pYY}6}?gqI^|khBAM6dFYk?ox{NH)vpnqF)yR6_>TooSJ$#k!vaWYK
zOXwecDCd21!ChU*>-Q11C9TpmpJsNvbXlf<dh~}|TvHdWWM>YG3a`@HjDq$%Jy@le
zcInxrJ*L6sH%^b`V3nSda8*=Nm;skWzN@Yn(_koLyAGDF(x<(`aNU;?-SiqH_rInB
zPlw%I9-B4#k!*W%R}&K&rgDC2cc;P|8RNgNCD!RQxBQO*rYzXXPJ8D%Nr6oR44<`y
z81R3qSA#P?u;OTDp~iAD1s)~dln<+9z}SyHTB#fN`TFJIwLWDED1FON_#4WIffKi`
zRM>Ok(r?Q9J(qQ$`%?Pd!!}Gvdwa7g$ATLV@Rtuu^k~EPy@y1ajG58EtUHCzgBMqf
ze-uXPYlEQo+kMIoEXaGb>9pugeyn8sX1$cH1t~ndVWJ7F$RnN^7R4oqhun^}cra^0
ztuc*rcPks-R;f50vw>4#F%z@>$H|bs<zL&_77l#g%bDKOB8+*G?QseWWZ<=pj*}SR
zM9~^3WA@vGS(yokYBMxp?exzf-#gqWwx0FZPDl)Y9I7bG)zbu7)<gVp*Ld*<i>nsz
zkT~j|`($@`NCTR$+&$}1&5vpio^8$RlSG5Opu@TkG+;6*;Q9=MAl4n)d|QM?22=0P
zpVB|C0U4e%BGr~cIB~t^>`rGneC#Dxt9)DoZg&ZkuH_3O!`+I#zxw5|NPr_k?t%vN
zXp^^kZs;c8beT+^J_#=sI31{bq5)yzXE_WXiQ?=l&nSm{MT~1XcWH!06CBmWm_G!G
zWBni7b`MEq3{u`y=XiXhexM_gi;zT#WoPieuY$KDWiI#0kfF`%6+PHU8XdQ#74tc%
z;nRncmxX7@An)8<-RdHXchc%x-ma;m{Qm-(idMDYOt`v5nXNoJEV*eXKhwm!eeq+#
zwmNXDpHY84LIKwfc>5fS(n789U*AOzQsAuR%EaSx5|&xK8f#P6K>^pN8Z0}hP_i{K
z=I|dyWM#i>&>BR+gv49B1pR67Tsvmwo4GQkyjpv^Tb+tMgZ54#*L8u<>v4B_nhL%)
z{_Wq{Mn%cJF~6Aq=|P&BOfFBiD(0N5jsD_G!`iFO%n~OIK*%Tj{e3xgRLZ2}IKHG|
z5B&CSBN>6x2+!lk8+tS4xn*?k0u2ibLe!`FjiHjvd@U|a6FZ5kPGgfa6zdFMJX2!|
z%BM6=ehnhyVBO`Q)G`{{9Vk;&$uNiOBkF&mb+wQjW1AQ*O~XTGVI>wp1cbQCik^M1
zg;cMdbGnXH{Fzpz9GU@eNUVu_m#Q{S{<q@gYfeEHlE({gA4`~t+jD@yQX9pm;>hYF
zS~!v&Bhn>g1?SIawzF^2M)%-WW&I5uo;`8!%S@>i_=nznQC_t1{`?VOZBfO4^PIWI
z#H_*c&+}ZVaWZaO9`&d_t%Q3V-FCR`vxX?URL`vonwYMC?n0V@0t(;e9m!9&hO=vj
zUR-*kf#tU}m(97PF;?eA+`bFeaD#VnMKnYmOI)b*i+rL8dq&IcgROzm9Ckx-Och;S
zGJDeU1+Y3+u#%5v4Q)%!mwcU7Ft0gNu{@6*t-@v|dw*F$i&AE#NvRU<ecC8BQo2UJ
z<OJ4pNmlT3AD^7p0ts)O?4jqqoTlfz&lr&tvx5A9yRJ@K6;Me6W~H&6-n`t%ol|TH
zM<;E5pL3AIGxv5=)(<rke+9V~+B7ZUyDz1NSw$LAjOCi&<N!hTtqM-B1USY$wDYT~
z1iG7Q&{egjh%E-T%WsVVuBn@qlifw}T0xEEZM|9I50j+E&{+arTd*A-s}sgB5BdJ9
z+4ICrH;3JG`4*5h8y(8(B8XGl>u-85FAy5k8otg3bBHsZ^SWoshqpd8E}Xl*NQCg{
z2g&!Ff%uvB)&UbP6is3J@TGW>I6RShWl_KkZcFPct>?30vyi%e0<lOOI@5C3#?};S
zlS@e5KFoM`|5Jgc^abKZYm(8sBola36SaCUjsaig9<#q*K2O{#F@2={${3<5wtW)$
zxJ-XpBOIIlaE>5d{;Di2U<^u9Lw#lDi*!-fxoe3fvxMHKz(=CKMsR^;OGvT)EWP-<
zzWTv}8Dc`HEcE*mLx|UJ{9NZeMb}V!Rw7XRhbTWA>c%H%2od#-vhIQ-be*t@#angL
zgyV~A2ff1$pi9EMQYovSzM{N?&A)AmIGBBN@Z48@AjyAy5`OvzU0qtoF7nVMvF;)?
zvK91Ui7D+z14ldk*nJ+~0n-U0_+oX{k%xMqcSC`8ME*TJB(1;3(SDq8zP73BoxC1+
z$*x?!&|XjP;5fWKlRHK%hSP(zuIa*^Evr8LN3PJboGKh>YGcHi&5isKg1RujI4`YR
z{FsQTw~PBRKT25m_9Pv>M1#(%xu;j(H4-;n?In_!#t4mn<PTDUG)T1^4SN>)j`(O$
zJYVEEMrb)@_Sj@oVP#8D?s?r-;?alEFTcNz5g%SusCLUz;dc22YrUy9;$&x2ongT^
z(XwNB`^$Tj4e;iq3>@zydW~1!jucN2zKY`v<Hi(d*C)MZ8to=tJZAEEGdxK|XGvW=
zk)s1M33<IY?0SjnRFzRt!)ZeMLDa14|FnVOAm{N`mp)?R_-%VmsXs*SiOej^IW1ra
z3uP8$?<ZnjCkCY{%n%xC>B&l(T2NTFv%&oJ0AW3G{`wAwSwjC9!_UF}WcYkK<d;M4
zATd6&&={0INA#H$u}0t1gjHTEbHUTY#NEi+W42-o#Kq&8+Bl;DVlSuux}=N}**2}u
zzcnlp=RdKoy#NjH${0L9SUpY@XJ~Moyz-BD@iN3AEK40Gg)YBt;+P_WOa2Or<t`I`
zz8vzOC)A)pG{Ktt)ie?ArQylkxk^m)#q}&Ws6oZ+oxdKEW{9k<TK8|LGXVb5ZJMc2
zg{b@yxBC29LLhX*6`yB>UBS$SL(-}+A7Ss<Z8A>`o$3gB%*70=LGOiG(^VjSyew^f
zb%C%NoM)}BW`WoYy3j>d6`*s!$T&Fmmv~TA7O;AO4Ori3$$U7i46!jq<frV*#HD-8
zlo#n7@HSqE!+=v6?y0ND4ewqhY<WpzmtJ$hnx|)`L$(sQDMM~V-#Wp1)NMS*m>0q(
zt45z`DnX@MREdHsBLq2LY#15ghdG%yruOd?q4|77Z{T+(*fq-;=YLob%B~b#W{y;Z
z&#N7^EGaAya{K!uEq-B8nYNdgQdNWo_T9_>`LRJZAu)WnLj>fOuWjWYCc%g9uGRYe
z9N?h9^~|kV6bzSx4m_+Ofrx)MtMx4|cw)Qn;D>2(c$&liKqZF+BPtoutNgq`KADjI
zz)lJnBUCuVQc18|pZVtddVT<c%{8$@2DaM{i4|p&pkAo$z4tCbpzV0jwb@x7>{h6+
zlIlsowwEDcZ9)i~(nn4>d{KZMjdlYH>m)d{5X$2AKm_*t^StbgR)o#tZVC5;6hY~;
zVMuqDD8LtUK35}U2s`ujy~1BbV431N{<c&co}6=x+$E_Bd)Z2k9ja3T^=7HKxdBOt
z-otT(kW_~>=`AOBJW&R5*PhBN&N4v#{=;W#!#|-=;G4KVDq!aQ{J_+R90;t72pI)#
z__<u2eB)R(IB>!G3$MEZbcs>>_Z90vEr;WEtDPEfbA7JPtc3&;0lDovW+*_<mYUK?
zCBv@BCT&GeB`7-O7h}&$gBu66W6Csjz)>`=m1|xZtSBLD;S#!VNu4(kq^Yp?Eem65
zjw)y;p5B|vtp_KfHYG}T(_k(f^S)ZB!^OSl_oRH)g9D)g7B#JUkSMcRG^Ixa=o4f9
ze}nbG`$?w||B3+wPlTt|g^=Oip#7EM27NdL7|-Nl3|gW~gC*a!K=I6;dz<U^;lfPG
z4t!+_>GjtCw#w^3f0(QJNl$(Fye+x8!p;IlUH-;qi%?*5+Mnv!Y(01@m8!t)2O!y}
zx%woE0_Isi<8^{{VV%43sZp9GX#1-%#BcD>R_%`qv%OSMXSm<#bHfTYo7DIOS5P45
z$~=2669xF6OBsutwubIp?;R2wKArEkdhpUmO_;1pNOU*a3{5xJ(vmbOuqZNpZp=v)
z?yz!hdiZoR^j@i8GqlnHn-P_of3+kKK9f|Kzp@#aVIQIWO$+*3CfEDUNJ9g)tLO%g
z4P0IsvhGnM!^44t-`bQ#AdSns(Pw-!+^#TAy0F1371zY~NRv5X0tTj=i#LO@R;*Ak
zMGZKf><eX_StMSoMt}Tdx*0TV>xYhWr~u`xuHIR@I)ZO3Y{LGzH3U7=*b>vB2%7#N
z)_7whf2oFf@1$5mpoM^`&OHTi8yX6T6<w$2k!=zl=2^k_=JI`hqH@q;Rey1}I4d4r
zEt`G7Vg*jE+nd~2rQn0FXZCp-CpKK5Cg>fu1gq*wO>r$T0Dc{&>*73kpIy$i{|7(=
zUF~DoRbh~1`F`~V8y_w>)g5<p0WiKQS#i%w0E8AROC)vqk-TfO#Ovz>-0}Jmd_IH=
zB6hx+dGUcC)jw>%Qc_?6wyv7<Q#~wjBjBO@+8RIJcj#r3d29|d&9pVAN9#mFO6k{q
z!~94Y9{POgqZ!1Wesqvtus}34Y0l`D@FVL@9#N%#8~8alkaBBooUm#<k#A+sk9XX~
zCx*36;aWrUw$x|eiSZ<rgE+>AoyW}kCc{jC!EZr=djB>dnpORmD~k_*#g<-odu9xq
z1$O-?ZEK_FKM$Yucj80m3*X+ja~VU9%pvjM@d0`v?RCNx5+6E6r^jy%FaqH~ueoOb
zN%}vNfsp;8eAv?yRGjmlA?(ZAW)g6GmcCf{zXfA$J}j<^{obNw2q}3@$+ZECbU)VP
z4CbMHct4&NfAxj|%xzy#!?h)P!SAnZpWFE`jKS6MmY@Nc9aJ=z_E@9O?;P9q`XE1^
z{kyWCo~jQ~V!Qnm8X53)JEMWkCIKw{Iqvd>S0B155gaeAneczxM6~Xt3gF1w8z~>M
z^x%zS)92heW<157FMC}|5br3wIrd0F4~o}{vh6ilvFOJE=dvb2RN*T4eW6+xSW?{6
zg!9;N@kHCgz9b>!Yjk}V@2CqeRq|`!@^RozNrB@bp2B$PntD;qI1R2Td;XY8;l!Km
z%e)azBKT+ZD1TfA4K9AEztAAejip=)<rJ??XzeZjON5}o!RWqzr3XA1Se}|2epVE3
zL^>TFo1wzm)<zuI!-vt$|14PFi{bnkHCpsTDm;Iq?QJC>fVo;v_3E`GP>JJh84*E+
z#Ik)04>$5-n6ZiG?uU}75LxUtZ9#=QMWz9c3_=*|?r)pqD2?BmT}Ny;QDJm8Ch)p|
zFv>0&9(cwri_h(2%;Xj*V5?}ZzDN^6u}`h-lo2`na&ny-`HKP(uigmUKClU&`+GP4
zoRP=(b=o{$-4s~ewtwnbr6@*woj&c&K*G|HJ1asP{fhMp5t2gUSmvId5Fo9HoD5lU
z(~A^XifP^*k}QE?iL1>WHcFVmm)3T0!$&c!+iEfhOQB=a_I{D$%D6BW>B6&{3I~ew
z?XX%J6PBiIKi8^Yu=9*$bTJk7O}omAg~;N_-}ncN>#C@Bz<yyfD-9l<eHuF=C67vd
zk9Sqrs$;m;*%iJ78Z5cCIWTi8pg8N0&GbbLJlvb+V9BowWmXZcbBrYHEl_l+eY270
zTo{zu>vSQL)av$ajf8!V7@J1s$>`~HilUUL2O_~2%PrRxF~i*9?N)AW)Rh=2eCw?b
z58nQwD>5i!u1se9gLQ4xiOT2?ayNjb_xw5?tI9Zf`rM%2TOBl!A<G^+WC&C8>~3On
zD(ICEVA!cm!B^4k+1?pOu-5XDNw7y1z4qq6zv@9jGnY-*^qP$!jW?j>#8Wl=_Qo#C
z(U*eG6V-2D3z@>s$=cT+W7Kiq$Ih4?1O<=2;8nTlV+Lwv41qz?8hEo~i$l<`4lc1W
z3#;8X2Vbjno}UF8_*C4k+;T-5M}4A~*(NMtb?#EK?~(@I7pe7jZ_vUQsS1)dd;pWe
z=1s#Ins}SCNNU$6V^BhyZC=hsKJs{DTco9l0?}Pw@Ahiox%4aB9|>B**9AU*X+}+4
zxvqBpo|_s*`WwG<KWYgUs{JG3B^tOcSx@m-SHXaj9<SYAT0%J~Nz7$q&Lh^bPxOZr
z@#mCQQN)rZJgzI~8$F<oS@&gCqYD*qQIu&aS$res-qBa8xuk{-O;J^MT4d3p#{XWp
zoE6kDGrlv(Rz>%KpFLkPC9x=7%b-ud3PO1$Pv<77AUjj*F7{$kly4ROs4`^<&(B9i
z1bQlC&h{YY5<X!(?aSjb*I)^6Sw>HgRF&`*Z`+@;Mt;m|f^5<WOYqvW#3(pULhH~?
zS)68E=p*9gl}NLMg+?Ql=|>7EyX$cJ&5Nvf(bXiftQSE3@$=K|G4i-gsj!CO4kOl-
z^iE8i1K{)C<)V367R!$uGAdwOrI#=LcWAo?fTCYKbBvudsu(Hv?-&0|7hRa$*ON_v
zXtsKWn5-n~w%^-B@|mOiGVu=@bXdTBp3j}6P2%|LiS<-<)gO99_($<_F$++Z+EnjD
z5k)B%eOA|>Q}jJk>m<5|Ibat{Qh2xsdO3d1C;ghBr;OJOoGmbe_Ndi2tlxytDE*tn
zUGfBdsjfw*anKY>tV#zM_X}c&+H8VH@&vufGa+x9W(ux;)3+Z;3gB@0r{|{|C+S(A
zOI-a=o4}v-Q0wa7ycnPNZc5Z+n(lCt>8nkrG3ajp_=^2IH_A#KminCchi<r!zpR|P
zp)YxUzCT5{@b>ezmBUiAbloR5#WyY)!K0Uv)QhPcI5j9Z8}ea}&d7deli-XYSWMqn
z1A-ly)NDk@?=H}n1}J0(4@0<a@Y%phoec%1Ukv-+|4Sb>|03`G(g4nUS~&LCmK7OT
zE&p14T%wnB`W=?jGk}_W9UsQ4Ea;`c4;2Ed^cE>IACo)!uwQzAB?z#f-OgR|dm`59
z1-|RzcjWcq;nC((BTtx-nf)3E-x32d->HcV%-4e_uMQTUIn9g#kN5k{+cV+O<)rJ8
zvU;#RiX&t0=tljZG>6M$X7uZGF77PWg~pvv%wp1+apAP$>Y^Ge8kMW4-_p{BqG)dW
z(l^X_cI}&=@G~|%?)+h~yPgK}Oqb!P5)1kT?v<4F<-nk*$}hK_Xy9=~?u%X_3z{yu
zpX^ZN!jEDvgQNzjFj4rV>YN2D{!G|aV9v&aRqWj!2a~9vW_)fwV1*TPVkHBTx%klC
zwy3a4af4Tn32RAqvtiK7_<a72dp=OeV%`6a0<kA;w-ep$Sop;1u9LMOR__QJDn3eq
z?G>}O&sI6GDAYIl=Y|eSf9r7msz!nHf5ns^TXW&2b=Ll>E@6CiWIea5Ne3D=S{kw*
za$|y_UtpudCS<6xSNLYB112KBg9L#Ww>I2!XYLlopTV62J)g9}w_f53#}Xfs^qZ@K
zlf`l5oRYVDm^L`BIJMdw7C?{Pxb5psNjz#6+%qYw4b`H1oQGos@zCDzrwf+SNW`C*
zz0|J-wS-%kP>v8*hFouhowC?BOX`h!p#=>)9t=&i2xF1?C6B<(^61>~xI(>B3yK0h
zUb>;U3HNQk;*uGzfZ;5CewmG0a5YrdP2-9v+J-dBNmh_>o;h}Ic1jC=#7W&dE-8+t
zx1Oa(GAZHt<)6W0pbZzca%C8z1PXG;yPgVA#^;$4?;@XR!(sEr*777N^c;f7z;+dU
z`SAT*`yL(8$|hf}@RLDj3eyc&7d6ar7W3IAN`cx0;aw-Z<S@gpNjbPf9SeHrVwH0#
zpm+RM@{4Ekn8dkm6yc+Zq{fnPGb1XTX`1v9{G@<s=RZGh=qF>>g95>u^HgxH$$a8I
zMM6D`th{wkZTz-fWzX7Y8u%`a&a;Rq;r<i9^sQg$V5`Zfe?+S;6lyi$b1P;1;gltJ
zERli|9LdT0fApY`?}@5&m<leBE#JSuK}F$he3I@|1CUiTODWA#MW?cvcV3ZHEPB<#
z8F|SNe!hFP^6`-xJ`B(d>3T-Rs-8|6e|BTImoLS?sa74M1B!lGex@Q9zruHkOcS`+
zb#|S0R|DH-8`oacQjr*K5X;msgXX=b!fwQBV$YvVy8OXZ?7A(Hy81tJVDNkv*e6Fu
z|6{}qX@G)GFHKI!?;?O08!%PMA>)Dj4krqgDfs^Eo%f0R0X{i~TI6(-F){UB=KdgU
zv@d_n;~`=Rv28-?%fHE3ays9TL6wZ^@n4EH?pwmiZ;l!Ns>$egU$Xex&5i$Gm0*ll
zwF0lrmFExJkuh$F$2oIQ1<PKV3TU0P0>S#TV{t{AnAtnS?k=K)JzG!BJ^IfI?uo5*
zc)r#^&fk$=Ei4uAfcY^tkwGh%5k6w4`dl4-6V+8+*=2C)(tjs^4O>CSRo@P`i)v_e
zIW>dzhZvHHzpP(dte|Cg@5p8oRfJQOq9^2q@yH&#h2w=*Fw3HQwdAuh7VSA%t@@4^
z&6i@RE#6jOEJwP*wO0w3?CamO9%RGPR@*y$JXTP_uG1CYN5Xf7N5%z}7_fY0`{4_Z
zEMfk>UJ+&g#(aGT7u0^v(;uw!-Za`~38f0(^vj3k@I!V_Ma1MN-9wwD<okxMx&9kE
z!X_<)e*|7X9FFLw=emYo_!<F_U45oH@Q5T12=;1g<UOY=9$26;umb!a0096043~E}
z)o&Qa&Ev?P*?T*ObL{<ntc<KwDk7CM$cn5G{VFojK$6Ugh{}xeeG>{LB0D>ykQGY!
z`S<<fzTW4#uIK*Tw~hUUfG0n9qvC=+<vLGaW9Cd_!a=GSbdSWfzPrVTMApi~1;jeA
zn3P0!n!`pQ|DWh()>Axaq)NWB&bSBbqnWl}`p*!|6@6m;Jh{+a{rXlx`+n@p_p4FD
zRR%EpB4H~+nFC#oO2}H9?#HOta#!c(^<nG5_srID7L?jAe|7YJAEue)6MK)O58QQ{
z%m<c;=x)Tk-+Es+wyuBWl8B!kyo<0)e&I+!eQ(Ye<q$ftX=tE#d!-B6@k$Y++w`b<
zsJ-0u+eb|GVW$y=s0);pIV^UC7Tr*Z4S4sk9^(iLDs?@o1Dmxc)fALz5G8WkJmhT&
zcHp<b#Ip)*D5Djexo5D6bCOd{6!bFjPuL{)439R%?3<<Cf9o%f_T06U^s2*;$^X&q
zzo-StThC<AS+C>Pr)+wXdRuVc&#(0yhBQG%)%(qPw^e-Q+Cch>VJE&8J76VdtqIjx
z_A8GYR`ADXN>fNIeK=l({T8m#fY<veHnKs>c+GrmJL(+5Ik!XRWmGiagz$r14QH0{
z7j-AaZ`h9ELf$g31RkqH8oR%-Qu-pEM}IHwh5C0~t(McVUs8Q%8|2w0nnm2%*N${g
zVj5?v<QuflQG+W*j}EuoU%-v7pD{Wo_!CbkF?2p5qXx9U!h1wdF5pSWe@gPo%;Skx
z9^so$sUX*)8tLq`fG_mErMaEAfJ>j-8_J<cg*(LdbliUd&#XQ()Ni(gZ#QqU#MM(E
z@wl$7V%Y*7;d-{A?9Vb@`DVc1bw33-Zmm@@2`=Ju!&M7PO~3I&zJ~-EKdZt(_R$|s
zxr_MC70$M#k~O@Bw^U(lQw6Ab(LHH)OL(@gV}gIxAAH1}^R1P-3Zx{AoN5tW#zihz
z_LY3!z)xVzsd~O-c>M6t%QKuS_`Xt4=L<$#c$$`=OYI91_!Isnos|EL-*z-_&OJ$k
zx(X{d2mUI9zu`F}36E9$yST#=(>q$!z$YeOWvvVsBIiAVKdj*<)7&ppfF9ks)XWu_
zqXf2m4w4m4fAFodd^anG8IVVsz+200MNq%4taG1h13y~yu$CvEfG*fPDZb>P2pSPR
z>Tdu3;s0imZsp%1qRMCND_$K6AXbs!@KR_S_b3{VFD%}Lf>QRX$L~>q>lL9<C#q?X
zy+qx?ia)F<qO6F=yFnh#biC}(rKLkDi7!1$A~?_kxi{7Id*wl!)%0+=7d;x_bu60_
z<3eiWHD&K_a$p*w${qBF0k!0HTYSmlMp@xvvq52Uuy1`_h*&~E@gBLRF=o7|aL-hu
zoQxbuOtkrYO&}t#*vAF5ocze4tXhD1P!=YRrC7$M??S1E#c%j93ZQP6rrgy$S<w4f
zBf!$jijw*^=zhuzp-;iGBeIdQ(6J_?c-e*n@#*I>UkejK!(HNYI_G79Z8){({w61~
zyy;6POe2npqCHD(17$(QGvJ$5AUC@9coo0>O#<1hp$7IeSqP+KCq}dKB3qSO{&!AN
zXw~wleM6rt@SX8)IR1eTi4XrkLbK9{7_TII(pV1oq$mPog}YH?ErXL^rYvg9FcrPm
zDF+{I)BTEG3L*xbqVmeK^2kH<v*O28c}V`_6Y^_Z7_mf&YP_&hL?g9<_eE|ifMhC%
z3DrmpIeAELq+2SZL)Rn^7=KcPBKhmjFS|>iZT%l6ulJFW%-4rfM;w$vljFCXQ-vfd
z-6(QnI-!abkAL}kTbc}k88koUgr$+c{`aMQRTLy68>CWbrwZrpa9gI`l0kPZHncvK
zQ;{0)hBfaj1@^9An?J=Zhl<Y%nRR5Vp@QkyYJ(GMaPw(z#P&UTRJ7bn6!BL_qqgPi
zhj(d!<A=}h0>u<j{=7dYn~(+)ias=+HKqxb4e938`%38kD;2WxO%2qNym)obq&5sb
zFU)77Bcc72WzT=_G|<H*cHTKwJ?K^$@wsJ9Mh^8V9jebX5KF~j8(V7wFr=63JbzjR
z9j<>n%V45`auv7R4kj4^FDss)Zlj7`2bS%B7om<i78)P_JOMD|I6~H+Q$@R<k^oUa
zuD^q~+|^L$8sYfNd1I(N&GqJh1O+);yB~8}qM(n?q@F@o6R3<PWmk$*P~=y}4`Y{9
z(9*r3v#koIAV3nxWt&t*iTf_!5-U+crcc`2**=)Ui=xt3QkpyZAmf~#D~Fb1XO0PJ
zn?Zg<D!n^Z1;w1DXKB7Bg|>ES=Z*%Nf!UYgF48y&1>6)VieMH+HZgayBCeRhsAj11
zw}Z;)WmuGa%w<0G@REG)<I`sFH?jOgX{sU$5}I51<G_ZlR6_cQyczI{e-N%HlSfB6
zujJTT&>|(q2RClDn!=kmBmP}AvPi6(=fA5gv-r5{$QP2cDeNtMTC-X$jY1mjUpI8V
z$NnZ32q*WOz-igPz87CfBDcz9Igb1VEXJB5lj&#zbL8&~_u|D-!Qb91UoAJVm8*=k
ztnZCsnXq_myhRvY`x~3P{fHL6+{p^`(Km)^O{3!z`T{6qJW1a+o&mbg^VgWa1lY~G
zfMh3m(F`vgQ{i<2?2+JM(jo(hu7{ivZ{tEm(?XQg7ABy1Vn8_UjKLR&0pWn3Y{={Q
zs{i3gA{4J`^&CHC1Q!E4o~6GcqVLgMZKvN8;Y#dp-lT9t5ZdH%2YLqdU7YM4)<A^m
z`~Q^}JTQP)S==JJSGVzpjI)9>Nklk!>F{sG5Bl)AVaPmgWDQ>ym|->5CxW(7%%{_v
zdf***zv3FxB2N3e@ab|N6Ldd%<nl~k4@zz>i|Vw0$Js5Ic25U0fmf-)533kmxMpjm
zPltcSmpIB4l*E~!^gKgzdb<u3EXU*6<s4i`I;g;_hXC;;rh#2@I$%j!@~<gq!vx1L
zj?0e;@S5kYtyqlqj_(<^u<;CI$GE7|4ao#p9T`nHGob}T^q&hdA5UWPqjwp@(g{$i
z+ohjuqXo{G1_!;w9Co>Gh|2Pg0InNYrA>_{WV=59%on$a#m%cI*>W(!>CxDW9%N03
zOAlnL*}H;`a~eG=jbZ{5pUsq_M;dTv;|-ti#42W89z*ctBSO{*%~(2V4d{4U924mJ
z2m8kwsv6rtgf3klse_NyVb#xvO}2gm!-`Lpk}8;Cj(TV{oum%ClgOTp!dsYR=RWs{
zx4R%wdk@{0YBeC3@+oEO(m+0Qr~Ugi7U&8Pt0Y>h0XP?@1f8LUuG*@+Ye(2XKzQHY
z10z&WPrE*A_mB=8q;78dOtZrZ^8=sma4P(2WLuvYqK5+2nj<><IiXbHuihIGDm>SS
z75+eG1U0<*$~S8+IOJ?_&FmcoSUoPwo=YMCH&#{bdXyWMUq8BB<x7EZo6c1^1|q~M
zo=jwo;{nxsCkq3lD3Bjv{bBEIX7Imunf=fgUbszWR{vO~3j5E0{VZa@0-jSdmTz?V
zVe7)<y%b$l*jg|D)62jHq0w}6%{y1$^eptLLyHOwtgIcX{lyO7++)HCX9c0T%--se
zw+fs){d(qK6er{@JKp`NE(|jHB0Q6lD$w}y!5;SqTtGjt5%N(=6oM{~sBzDd;nT$5
zhj-h!fs?3S^IA(B4Ary_2Y({NcE;TyegR&{iRKB^u9kpiCw~9x4`j#_c0OVq#s^sf
z9#<KsCBgo6uSn+z8UESqFZ5dFholDco(LsrSV}whSxQg^zBPWl5S1tZdJSAAy^%7o
z5D=m79;5=s4p%Q2fDrt0m7^~jmxZ%cGx8aKR3IplgSx;j0#z=-+HalYfwtoL0n$@d
zXo|eG=K4nzGJn>z&vq$*JO3T4HggL6KK6bnZA%=6rtQ9cJ)#5;_Ki;%bx?r4OIq?Q
zyCfXXGCSQetPDBbzFO&_R49KQ?4GV51*hebneHAVgME3PNIR&({t5rkw!P9&se9*=
zbGr&S*>cc$DyYL>JWC6LWI(W4IG~M(0xPdLG*qb?5SBgg%qd3}`l~k59~V==en~HS
zmy0GO74>;!w8}x!)naWn5*2)k53$_M*8;w2hN6mjd8pmh8vOSL6&hy0Ecflwf$b<=
z+F%AnIH6$Iceb7i*Iit0ipJ@}Rs*fUKSm`mT=dQ!Y^6e=)0?#t0e#32elaomQwiQn
z^@{w?p+cPRC8nk425`Rd-QUs@W#D%ptB4p=A>>Ib>wOC&m@3P@$7MkR{-Y|K!UYrv
zI>+`>x&wol!>6xbE+K)jDDj-=3sq=T@3U{r1~?~?y6@>Q2}XnIUul%=<jBIP&nbJ1
zp=tCb$4oZ~<|cZJ5}cHw>p}5{fi7b>b$3lA^EL?%(hQMV>J%U)@X7Ny3lk7r)lWUf
zLxOsfYPZ1+SzzZ#cBFY=0{dewy`w*>3>|W1kD?W%LFyRW6WtCI2$nzi_Kd$040@IO
zwz^0FOa0}24O1qdR&v8n+*uKFH?K(Ub`l2h$%~Xbqb890KA>(%Q~_FIcu<%<KZppO
zbT58u0`=7APmVXrflk=(nCox2pssJ>#`|~^aR2e;htLsOP*}=|T61RsT88+-pQa{I
z>PCO-`lvLtKUf+%eT)HqKOa&ToHvH2vO^r_J*A+R{`%Vb&wrTJ(MLJNBx88MoVWdS
zUILO2yzmmIE@Pv0XQ#I1jDfZp_fnt{hppmH+uoK*EJnM^^Gz+lli^G%G7<q-x!#z&
zhrVJY?rxnxJAkRzU!J;U3j*;4EluQ+Ld@4LGNkY=2D`>p^$eAELnn8d>{!k_{L6c>
zRh?-gaNi&Cs$rNHE(N@*_!0O8C;nEgapX3FJ>Q>Ox7BmQ>Z$#m!`FN8b7<<Ukg*{g
zJ{$C7vXc`6lr#3esO`gBtK#lrK?Y!TNN2Z{EISB0wVLS{_2KFN0-8li^&xxL(owpN
zT`)WLIozqg2hW=?-D;oLgQh%@&?mA)2*7ArXsWvKRC;l*{Tg~;HHZ&h%w~j^_K7Dd
z8SS_aor+IPlrFq%d3M~vlOCE_9aJ|m-{Yb2e*0B+IQ66R#>gjsTBtM;?S7|RgLg$q
zHcRYq$}WT9?a#1nj0kN*QRX-CTj#yoC8M=r(e1!M<Mn^oi^mVk{;-u{nKc4m{*GwD
zlIZW#_1k~2u@DvBqpFRVt}UDhG1r1FJ-Jb)zBNpP>v_%R3+>qA2PSc^5>2p*y6<vk
z*D97;#I5kcz8ibGd~oB5uqIr{5~l{nuV6uw+BSO?2C;}ieF`yA1H!9U<o`RcjJew`
zZXeqo!2<o{w$9LL0Be2}`y00<%<1EQll4Exu^UopM~cGL;p+LVK=%Aaj7DKk*wEl4
z#_`ZOrEFad+~fSF$l{CGh0+E413fd?T9F;!*-$mm7jkI1*}8yb9Atc*H!_PoQxWB?
z+@wOC6;GqvqXmrcGA)yS`xoZd=y>w_RVp}rxfc{rxPUSLis;UJu!!|1`GtSvq(XfD
z?rrn03mB7mPSfeV%UDHCsY7rU1<2lp-{<8Pv8&;(tT@MSOmt&7<Pwzv3LGM_yqSv_
zK~}$YU~Ux)JKUD}I8hbydr~5&wU)3edW8dOKh`m0>8#_kbt;hC=Jr>7WeF=#xJ$jv
zyn*>Y=r3wqC4;DZ;lBB<Wo$e18GLfs#6}iAMrvx3;r*q6I-33!tg>5<HnedYbN`&4
zU=c=wD7K47!WmYvrW4HB*;=#^Lcf;E)uaqf9!_>^2iLHyzuyDpp3uP~ZGO=Tft~k>
zUq&(Q>)3%Sqn9$Y8Ng3=-s5<H65I&E8XjK!i!IUx_a^*ggp8BpzYccp^vZR?W%IrN
zu&u%S?H`+%AnMP|`S1FQVB2o=c4pre7T$AgJNOebl&YnehZZY9<-VJ21{O5XE0k0B
zhn^MAjR>@+$SOcu%o)wn7+N4zsGi{PWd|L%Uen<x@_;9fWHx=HgAbYUpC;ls!969a
zM_fZ5)*HMU4P6+(e9}F&af1sq`w!l>+wpz7dWkgNEk-z5Oqiuj=7Ij2mdrGt9Y5Mw
zdVjNd=YQ3*40o*fz}ug*^OU$8=sBhiXuoBKD=HDCH<Win<VWkK^TV>B%x5LvJ<S4h
z2~T?&bp?0$L3FKoE(@`GG^;*l>>!Fsyc7r$hH@6-Tuq8Bd=ZlD6ZYnWNvD}7FULe-
z_s6+f$6K<nqug!U#Rb2X42SehBp~H}VARZGSs;x68X7su100U?CVNUGfuQIpf2m&<
zy8Ux3g@}Bx#lrVdK}#AkM*h7nrpQ6)&CIK7J^auvFMNTqUj_mgG%tQGk%Nn?d%u~q
z2|zXkebr8v1H-H}r6p&1aJ!I5e{xm`nzY;*I0F=5GnieqUta+}x=ZvZs*8fzJ>U4K
z<4W*x!bNoXup+41et(^sD-JIPEw8;gK>|He?N#|2B}i_3+tMf^2_H_L7i;!W0T}{u
z`2J}UAnhX6nlLF~BjTU9jVMrI(8;QQRs~M~8n0TMmWHsOY9<O86^eyjRyj^mz_l?U
zn#V&Hcu?wpAJo*~a2<J~_bnAJjkkLGP04{7TSnmp4s~$z{nTLXs19GFMQ?U{D*$&=
zsVk{P9Uh#xpj*zP3BJE*^)AjT!bKT%#X%<x=-QZi|B_A{ZbbhGAK&2`GQ9eZp-=<f
z=ua@+7SIJQ`^gOBG7`AQ5)U?%YXC*;Y*nANKHP83Qpp=9Ls)?jjg+4Th`2LkX~Y}C
zd-toK^G8(xUvc7#?ox+p!(_p}_ZZ~eB>XeVQ3dYE#eSL*H3(!pi0@eixNNx<In1&%
z-<a$Dh*T<c%<T4-S~7<JMl=UJ#3<mFKe>CFmI9rzilcWvnSg2xO=mVE1>`MuNnSZg
zg1kZ}g3D!7$VirCpN>|AiX%K87cMBkLa*asD}x!B?z`KOo~HsCNhZ0L$7JAMg8r84
zVKYb$(aaSJCPRV63j2P?9UjJ>(rF4egOHdXiopaD1j`ll+?W&q=`jnR`vGQ9G;u9P
z$V~}qTbL|4>$!j<N^~Z}#0*GQa_x2T3V{D{sHQd$;6Y43$JZrO2x3Fs$1~+X`;RIk
zUFaHi@4$)uuWp!vlYESqTeb{1ta@zuwRK`^mmcVPahXE#-`yp3*-~(9csnK5dICSO
zqUfccXad`!9$}vfBw*5b^UH6(RlL*Vw9!d=6X1F*e!VeT6kN`oOmxxP#zh6$Y8Qid
zdgW2gDSSu}bQ0Q<V*k;hbkX%kgL44sGgw)sKR?vE_(qH!Wkh+GC(7kc18B@RXpw*i
zx+d*6kNhH_whcqFXbT1j#@XS1wmbY4`}Wv#gb7J+^4ec&H-Z+LtfT`PEU@}0S?8A%
z5j7R@d(4a)!l<mTaIQ507H-Wg@&*!77i&%Z{w)JoHUG-M+(!#D8HUCI`-v#2qGNEM
ztN|p>Zx2+y*uc!>vvcmV5RtR{)LttmeNfP=)`$OAFk4I{wYr1}Ssvp4dLvm6<PNp=
zAEeA;3>jHlYI~Vb&fKeck4|0qA@0|4ymADy<1i=L%n}g6CsbKgOcw;sLXc)pGxmPT
z+qdjK0i829zvJMi0}ST2eoW6Q@O6*D-;AyVL{t0chDozFIB1rKp>JPt;jsogBOL;g
zv_E(4mV!1MKFm;}eP|39lUsD;p%9P(J%iU^q88|>_wfB=o54+f-<YtlAfO?wAEuq_
zny{Qc(dtY2h35;%n#@HJ(7R9ZWtwL-AtUss&XD&Kt~R0fGJSx69Hj?OcMNGjk&r9z
zWv<_NGpnjbiVG9klK)$C`G^KAa+AEvZ>{0aw=8NmX^6;1IzCOYPaQ^8%O8@~|KJ6U
zzbz*|5>a)NOz~@1b(jtLr`Tfm52tUP-{par(RIScqQ;aOOtH9XRX*IplZf^H<%7GB
z{BzaoX+dhxly+jpAcO|(X;UU>OS2-MPge$(iE3aJw{U>vF)bRZD@%<|VMA*!t7MOz
zobDj1K9n>_hjwu}D4){gKz&C-o!NK%Np9+)-AQo<M0LGI6B@&bzV4k|lNqDH-Q<Tu
zv;mAr@%ZdMgDYH!zvImN=^GSacF|62=^>ztvmY7F9&#hcZ)bv^>Qdm^;{;#U14PuX
zVx_mz#e;6{%L_^WrV8t`!GBnOFe7IEquR|1d}wP!Ehh1xD(vn^av^52AeKtia)%6l
z#9Wm!Y&*Eq*Q{tPjr`b9`024D5-I{nVS!DIbU_6Ub;ZR`dvc(j^i#th#spFNoBl%;
z!Yc68Tya3Go)htg|5<9N5k`8G-jT0*$iO-_FH!NG3pL-&*gR1sit?m%haC&a@MM;#
z_fDJ#9gu$ZxS&rQc`mwNnY&E}>myzX@BDd@c|o`DZZ1jmI$&3yZ5kOIr5x#azwse1
z7v}UZODRO1yw{oXiVW{|honuN*o`D-x)V}vOQVh2Bo~WKGT>UliRui3h{2S}Ab4H|
zkwlXsO*~cL+Nx$w+FK#Cb$84)%2^Ic86G+KW?cn(s`HB>Lj>8m1sAGy$)g{4o^hzZ
zQU!nF8@tA2F_f@zv3b{FMHKSmO`Nn71scb0?TK`dKt^W07G|SL=okOUQJbF>cwcTC
zKII{ajLzkom7FCZn(!DllZQL}i7Ea{`=1n&yw~zMdWMW_&h?$1^izY9Ys96iMbgMO
z=QoelAyrghrr>qYLmi6u-Ap{wD}#Du#C#U^Q_w(-pz>0v28^4XoM<G-p{E~Y&pJ#|
z&_O+=$cX2fP)uTluT*)o*|aBjz>SJ5Gd@4@AZSC#9=4M+`xTJJ@zTuWWmL3D2+EKT
z*~!~E_rAt>Dx&JjQJTJQRJ32R_1|$CJz(+r_ax+m5}FcnEtu<}BE9?iFP^9ALy4Po
zxgIDZGKYL&{sStaBs91;X&8c8`%EHvT^XGll<Q(pq#_}-VpIFk2*___%|xz{P=op%
z&7w;bbhl-;u}u+xq5OzTRX+(;Rx>ZUX{e&;U4%!OLjcb%lrZrAB_Z+paft|aGE&uv
z&SZ`<1`9`v2H_zRGTXg)z3QG4>XNu!CQC2@FR#hM!K)-xymgBud0HMd-FhQo=4S$3
zv>}(DEh(e*x@J#Pepz%)-dz`JO#n-cO%zv9MkUXz_+RTup~s}H+WV6xV7H=WgDWec
zN{=h|cn8E#u6F(HQ_Ch0X{9Cfj6o6kf9~6Gz9xuR3f^63oG^h?TPwyQweqMzkVUmM
zjTa^O*XQ@_=r20ib2cB6LzC$jw@l?Y(JQeQrPfFjXcHBF5Hv1>5;1)eUnCK^ke%ph
zs3tHu{=_-dQyTqpYF7^aM2lF+H7A3*jbU%3-RE=DlIVKe7-r(Nj)$)perpRb23Css
z*YCa(D8@6oPdQ^A9}VC9L18uqowgimKZ6)5Tk=2nQGNs$nCG`tdjOD}>mJ%@DUA5P
z+Fy8zHQ-@Pf2_Ze0SZFxn`K`LpntW6T)uy+F*%K%h2SU*6vkYgQ_T6%XA=v#UnLz_
zOyUep*CQi{sV^~{W8_7nL6RRrnEJ4OedfA-?S>F5+ba{d!i6+k@)ZqPzF|D7$;7E`
z12Bz@`y0>2iEjU-3(oZ%!t!J+e~4=uz)Tn$m{hZ(d<edHw&WX@SN6fiz)v68hSx)U
zA2Fj&3e61-_W|rb+ly@$FZ4jAZ|>&#NdkJvSyo4!=)vqP$ULNVT^I@Bdh2+R0dZe#
z;Brpt#P$go?yWP^g|!%7nfLZ|2wFVS3d}xX&)K~{eMr@T5}7$wI8TEDv=7Q1DyYYj
zhr2Sl=C#2l`lsWu+ne}2kB`KC=Mrq(!8hN{S{tr3O&Z$2{)=B)drx=0DiaSYkI)J!
z(t_UX1Ee3e>$p*2S!oot4&P<Y6QsnY1-lD!H%=L@;*aU97@h~U;4!m)6XxNX@DeO?
zo<*<VL0l{urXyc)(U&t<vt~5FEbp$HANMj283ekIVZAuz!S@2rqZ-gJAhTO>dJ&%u
zuk`R@9m21M=%iizq7KKc?-YsuTfp(R*;?G6Msd$O^%^g2)Zx+nzS&cj3;4q2|AwBY
zOyItn;W<xQ)F9cEVJ`RPFPuXd7kuq8g^S!7nKZOfgE+}MG*dt4@q159v-7YY`17fk
z6>c3=P~l-^5Pvw2*Jy|Yhmz*-m{;~%t4F9XVY>QEDtjK^y$*}B0t@)_l(^ZY?-cNK
zJJUv(o5w}5N-LkDMf{?-OsRPg1)9-H*skbb_@CRaK3?0mj33Ned^yTQfdEad?t0P!
zzSN=Vt;O*h{}gs^f2h7H$lDtYdDkr9L4oAZSJSKb>|ocA%=0R+7owQd&Mx9KJc;g!
zW9#@lyV98aV>0xbw8!h}F5x1-Jne&NH*g6__FUfYBnTp3{wb!sjF-j9dnZ_L;z_wh
zdS{hLp!4hM>^!!D*WD30s{d{qkKNdRSN)<gWQEK3%7*^NX{5)_6zR~S!w)RJ$A3_Q
zg{_+TlHOIEkI3(r{EQCus$B?4l~jUwc8vbJ`#SzV00030{|uLRAk}Xa#_jAqlRd6`
zFL&50-(!TLGD1jXWD^R}v{i&3k`f_WB2p^3Z$?CtSrnoudu5dM^Z)tdJ?A~=d7e*h
zR*B~$V<z-t?!WH%%XnyU)+b~N{-gD)cShXVVn!$pe<<&_611K8>$<VBPRnaCGO!!n
zg={;1sHi(AL44gkx?YYgn#8*#A@(IU<bL#n+sk$wXsdagx=*A-i*0XSAJE`L!M}AE
zURdJbxMar(zF>MJv-~V)y^I@O6+CbItw#~qKPF9~E(VmK#h#%2lo!o(ysG$jQW4su
z+=jCqnUI_j%gjF_KRP-XXD7_02yy$3TWVNXkfByly;G|ID%}6Y->*yoK9uf@%oyB-
z+H|#J+^!3uhxh4mr#%(G6uTwfJHm#fw<te#E{LEs>Hf=G1O=F9klKA(gcG$$Khu`V
z6+;1r#f4->1$cj@s{c+5HyR38ncX`sj>gPi58s%R2YsKjB47XGMXAgQD!E>g==GO7
zT1HFqz)BeXm&eSHa+-rKhNeg(wY*auO?(QlTNi(NFh>A2Bx|k8Fv+6&dygJE99DoS
zcXO4l!#nT0Z0QnvLk?XDjxzpQp#Xd49>t|8i=a8$$I>D*1$3Rg>DQc|B9yLOAN)-b
zLvE%=HERTLNYd7%W_3joHa_3sHaISh4qHqz_xx2tIGS^>zyuE99jk;@wFLSm_)sr(
zg@CpXwUzPg#skN6Lhr_IY1BL^pm~c)1?}N2zpIu(fZI>n(}RO$P`0_P#<4wQR595f
zzwD?C&JSx>6Z>RQ-9KK&7dI*Bbe;RPb7x7gAl1kF@t{2V%bAcWdxwgeY$lCYqbWeu
z^_R}*R6vXh2C*v{s;DTj_9He!g_oK&dC!mG5L5THc%~pVG{W@XiNbU>hzmTo8T(ra
zjm4J{^5oRfC7~O;r@S>lvzR)V7C=DsoP76KOVyF)@}H%7e=V>Suk~pgA|l_EFSWK)
z>c~OX?(Sli4zLUL1U*$#K_7Jr!cYHHM~(Gy5~Kk=2u+Kn)*mM!ZFWE7=Sk|QHDc@5
zcO?UejBPwcvLz#PAK^CRE;Y0g@!?2-768WWvD=M-f^7LDtF9nbH0Y<`bJW5R^vbyx
zLe(kgr3q7}q9Yag9F(lI*=Gde<BTT5dKA=fCif(l6&c;<;LG$9H-_cD=~EYkDaf(B
z=DgW?B65j66<*k63{TPu(;||{=z2g#a<L~4$vVvaX248<hv~NC{!|hQ4S6cHtR{!<
zqy)|l$D6=4T_%gOrYh*pu9uGrNRntadfw;vEfW}C8wk*?C8EhCr5B~X!bs~(?2r7N
z`krdBhOrGiI`Y(YdAfufeJZ^$aAm&<q;>G84hSouA-d_S!SW2~{;NN9dUM7g&>4O+
zNK_Hc%Q?Cy)X&iLig?cZUoZyUCF@Eq9(m-Gvpa(*-i)a}du?%O%Loi8J@0c^cJ{$m
z=zO-?0=D3_DIj*n2&^7SM(kpfMyF!|*X_1}B@#m{JAN60*%$h@B>g=|_s<F4-98ME
z|18I5uahD0?y2wz&JjhYe>$kpMKD7PZxjf203=or^F~yJ(5^XYRi}(yz)=&fDPj%~
zDS2(Xk)9uoUZ_him|}(TfVcj)uVFAVukj&QnHzP$g`(LfY_LX1@(#>2fFQd-D%)pP
zbP(ILa${fzN`|)X*V4V9|4o*VzRidjj8x17SlGcx<f~2LJAKHMZI7RZZJN7so9opc
zHdwUBcr@nqfYoRfi}75gX<WW7ZxPD|X`lC1ewWjO6?K#J=SSyhKW4jfF3GWhu*u@h
zaW`GCnT^4bgn!a1G8BC(>scZ6$-3{g5*@Hs>iJVu*hzCSG9|hDvqFVM#|?!)+R$Pb
ztwbdiV{6i<Oz$YLf+lX}sOWxec;%xMIGo*s{d{{~`SR*6AWvDx4i{^|@6M>=D*sU|
zMN{~{J7c>5=Yb`&@6v+tOnjP7(*#yGO$c#a+64ib`JVd0n&5ZFNcfH3JhpT%z4eeB
zD;$GFM#7*5xatph{y4mZ*-kM^I7YC-CveZovC@E#c(3Vu$}3n#iO)g01y(RIbot}_
zULBO>*<&(>*08s&s;%+qY_P8N_Mn}aI=tB2{B97kj@eBbdvQ9kLzvMe@z7Q^h*x@|
z=rXs7t<H{7t1LLck^fitBO5h1d*@7uFO?47>-U|1=*<bA?uNZ%{;mq9yg{#g{OF;h
z_<W0TITu8k^fsl1szUV3%Z{rh44@%$(RWjh2Vz87$GzEA!EjPAS#pXIHcl0*HF@v?
zS4$dWRVfu%j>y|S)n$hJk9EAK4)Q@UH8!O502Q)v=XD%zvOrk2rd^yhKdjg_A5C7O
z0H0}Na~3-*7~AtT*98lJ&fx<8vO)@2rV4g{+39nv!CP(gfgmuqo|}m}N&%5ocidT3
z4!Fh=owA=^7}8rcxr2l#U>nQq^mdLDr087poFhaaCoPPq@r(@j6>9zFKXAi?8#V5i
zxWvH9L!i>-5E-Jr)&0DEk{6`Q=|=dQc7vi{NZ-sq5`2`;lNve82lY3M(+=hD0k50x
z<FwZ#C_Hd8<-=WmsE`W0qLn8JfAroktY(nlv8Yy9->?8&)h*GgbCm{rQ)wsWSQ5Cu
zN;&SLAq1JiabZfaGO$}R@$l1B5|oG4mfR{528#n7efc%A@CNKlL|>9XzuAPELlgx$
z8K>K4x8=ZhA2F(enG6dQnJNB{VsQWTJ+&x%1qk%q_Jl|>L=&C-1Fnig-{9r4^4E$W
zDZS|K&rX3+^v^oULjq`>LxX0@N<h!~xVt}?0;phH^`V^<9N6Ph=247?7;pZH|7I!h
zIBTF#u|gUuPX05Slq7;mRM|vD5)}s9U-d^L8K~4V^Kr{k1~X0f$0DE#G2!0D%mcD8
zCEok<{k96!-?X`6C9DQUW!;#?KRGy<v!^=m2pNu76!2Sds>6}E03{(w1t{v`H1s#2
zz|-KUDNR`oxa!~(=whe{zoOnn2(?gPM$qmihr`ajXh!Socf~<>=52*q5*4<OU;Pwz
zUkhqRJ;%tQN-!jS<Ze|66_~j32I2fVK%@1}RE6Q8eKY6Ry(?5uU#28mUDpMkx>F|?
zjuF6S5A!qe(^O~;J-Zepq7N~BB9#q_L>Tkps23nm!BfyCF5~WA_#9t&Os16xE4=f*
z*$*jT!c-zblEZeybVVW=l)=vWsgld|&fL8Yh+o*z!(5qfbK!Byz<l7duB$W&mTgsn
zN9F*Y9B_TmldcToez&=OHi<xF=gZHDF@&UErGAH#%21rQ?vkB}hvg+q`q+jc7_6QO
zr_n1z-UPX>`kx|jxY}NpbTR^|ZRhG=UPLfDJ=vdbDi4C&oJ5mcBe-ZGZd{Q~fIGDF
z0%F%?plNZ=^l7aT2z!o*)ZE0wL4(WtmAfTC=dy5QS-laAdpet}olyej(m|(-pG09<
z+<dI~i4k~N>*!mk;b8p21T{rf5S(vPW4mLGfbNiq=Ul%6_~&)p`_9P=dSAVQCU$(5
zr?6L@KU5w<`(B!&9#+WTm6u+<W(dI_*ZTt*<)Fmx;>+0E3}DJ|c5*o15Ndh?*0wTb
zU{lT|qQCbaHhedguExL+$niZ2J<8IMEZz{ua$*rP=h{0g@&$mEL$7TzUjmpIEsYNz
z|Al2XWPCpw1i%}h*Ggj&hh{M`QEROMtn)n^t34yYpDNrL*;G*&j9v)ogLjzSSof1z
z3I+k$v`4xi47}4ODd<NW=1|kh8RudE0nr7;SrUSv{7ctt=;sTXtejYXPs&~pOBAy3
z#PP$ck<o<q@p>A5PgGxPy*_AOddK(5g%_~1%MUo(8fh|8Gd%MfdLU#jtCoI|3lcIK
z*f=WcX@;LFD9QSIpqpg<m6*d0qe7<!a@JnaXpSZ|4=?M2<SBcbqx7thQgL9(?Nup_
ze#XXm{|6nA+$(Mp_na9PTUebZ7jrSz+lH#9dvw4(2s`_#k`Xj3wZ-d(Ut^`wHDM7U
z+E9OWwyuAk9(?9i%6YusV;*B=5l`B*fUoSwG2~ANUGwYq;dNcu!v~I!UlX(-e|E3b
zSN$!FF^$AzwfzPATutK$N!8rxSA|J~bptD*e^oB#HH<l#*u@pCXaIpb**%By594o^
zU!7bW#g2-LmJvNPfOPH(C#`G^EBrNEQe-fWCHG9TjCZSp>+dJ|GLfs;`*~;5V%7xa
ztl0Rk(p(+pdldDzlU6Wmu}i}n|E94^Jhj!~Z`GiBdHuEPz%up;7aa9QdmiJ_tNANx
zpau^fSq}4gFJmuc7|v>LFJOGZ$_sIIs_^@ke^Cix853&sE?Ded!s_Bec^(+4g08+w
zy`Ri7cE-CaB>2@bwt760F`|_U?PMDTSMz0z^1N9p?fEJ;bj=g}u%m)DK4y-Rw~Rd}
zCyQo&_=}D1DZcaTCj~NEa5+@T6>JcH<QE_P2KKJu#ElCP6nJ95a`tfR3YMUk{A~H?
z78X1adHX&W1&06j@blbV-I=?g+uHy-7<t|)*|Xy#!x!Fa#}}?)+Y8Qx#726^PTN(T
zlS~4Y{99nt@fTB-Y88E{!3aHSj3?f-sX)Kcr+s&n*0C=^M`ZIFnV{pc|6HJu3b<g7
z7lkV}uq_7jHKWrkFfQKkacoB~4iT>0n)2Sla@Yszt<70MmVWY0DB95}rJPtFJRQv9
zEu$+;*x~K@O}a=~B6!|D8NH=L4>v<QwUYxm;f^VXYG?`pD%d|pXL>V0a7a*~MKd>0
z?#?!?(-Yu=@||P*pD_aAR*s(iBVPEtxYw=g5*`%7oop}2G6NHfz_1N3KQy*63JkL2
zA@kOr(Y|LaAgDlJu9YPKT;>s_YIl_&ILd@uJBSq$H!rik))#_Y0zU_CpAzUtV7~9H
z*<t!=iPJqc5%_KMZRNlk4y>?awxjNx&@Ju!uyIQiYFDp+y;O?>;={^nnS0z&u~D8l
zASn)HiwriVOdNRYJ(iG5<%RS8ihVHw63~Yqm<qp)0}dw>Uy*S>_^8Yo#y2Si?IG{h
z=M!<je}gUR#4!QTtT)rFw3Gq!@O^EZk8qHPIA<pp1)-)_L8Rx6EL<Fz-@QDGgWn!+
z8!kQ)hRXGdfOvCx=y-6&J@}{+NEcs;ewHW-&7ZEblBN}4;AVZ;$g~n<-PE|yn6w)z
z%pDReN^x+|F=zTvB_76AeLTI(_kj8AGkRhK9wcwFa~voqz~|i1kz4DMz_h-uk>fyw
zY&t1w*CY`<{IcJwJ(q_0(LJ?sMk=sBJXcjLKm|VA-+$P&Ed#}uiiFC@WDunfuE6P%
zVcN3&%#EXRFn&tuf$S9uWcq9eJT9Zax^sV1{Tq4MB*)>7@AzX=nbH^ANh&ODF-z$Z
z72%CT2F`AuDlEhZ5l$XagCa%Uio3UP@TBUzU(ALooF1TV+?Y~_j{^5hHCXYm@&4>C
zr)z3pmmN*?D$@jo#O0TbJ_Ha+u07W|p$6w9d}`w}wP6=mfmCM|5iqgBn?!bXNRbyA
zjmgo4{}@IN^b9EjI2rRY{!{~*!v~wMmFWX7yMAfSkP7_jPfR#}N)4Wx-$0d(2Jomr
ztn<?S9j>jZeRBS>DpY4hq*|N=uzD=jC#Xt>Q;J<mw{B8F*nHPFYez%q_&DJ!9Y%(8
z#x2JR4JeTFJj&Kq)d-lsF~$G%B7=699Np(bDiBD?;ypZJ1VPSg>R)$}A@e}-`fM{E
z)ZL!7P$P{&)@<31*NL>lF@9}dxD-K)>yAmtS7Xo!Tz)KZLIupqaMLHvWT7MW_TnLa
z6A;Rrt9UQ33=e|29-662z%9a0)fbW`a279r$#LhOhmITGwlEO}^~OZiRwffTmntDr
z#fgV&QTMDCfAK*3u~>GMR%76Ewr>mBkAs<J-Ns}Z6TJUUmfnBH7(yej@NkAIz~_)9
z#@M4P*iGw!#ao;^+`1G#DxDz*aa>+e7tZx#?`#TGN!do=ae&u#tx5(O#U$fhtOsb3
zWPw0E5hFO`<5UoWq<}CP+3~$;o@V#_C6P7L5PA=8-OJS51Ki%FjN8d;wBBxJlR+Ls
z$S)@DuKOVh64QEpO?q22`K5NhJt+VMQgh{aBm@dWoXZWn=~1rR<>&5P0H@Oj!LpYh
zimx%+Y<e-ElCLakZaaDD$DJw@V+CG#B^UalQh^b*X<-+|H4H$Bt1J7e8wUjTax;*k
z8ByBr!iTO_dx14r?yJNk3+(q-_h^b?L=W7x&dQ$Ahf(6FMARq)@Z0`N6+Oa;wrlm-
z_>1(waNnxK^@J_#y+E4GMFvJxlI<V%tX~%xR7O7-vaey?OK)pa@)(d*RL;tIQC(nT
zolj?kMeIQK)1(3_1ERgZUom`K2PjkR&!S0_Sdg^n4YwA0^u*M(-s-V7On#}iDA@Xr
zJsryRH}IuL7cs^#TRLsPvIkGK=67Pd+T^&0#puzC&wRNNPFfJaTf}#Ud>^A0jc!E^
z(V@=L<3`S}G~vwIKI2r8#vN{Lh$p|IL#}4W3?52pg6SKXSA_On+P^-*5aV(><Zmud
zkhr1&EZa_P5<1^$65jN;-Dq?u>b@;C@~=9usS32E3XRd6np#U6rs&Xa=i430f$HGj
zMR+HcF+sDpb2InQphr(dPL<)u)u7PHkBD!Wp?O@-^5@N?N8yJf9%*@~fg8*pcsn>x
zyD;+gM4B7}G8<)3y!BHR^7kg&X}w#dX^JLtR=#IIA>89(Mt-Uw#U`z}Sonu_`*qpk
z@iay>f#<v{`-cjmt;Leg(JQphr4Q@(BbiX|p&k#d7%KGZTHbfHU!#567!2x-Wk!yU
zILlZ;>P~VVH%QX`M_arbTJ2TEf?jS<5_um{;E_S?7#C@S_Q~1VM3Rjay?4!hIk%4j
zq4HPx=QOuy;`TK&9Eofwh2M85vXu-(u20pMRp=0n{X~5tnF9@u2HR-xlYzb~M{1W9
zJ(9{jn5@Ihg<_U^g-&~rK$yh!?pHhmI@YoJRFs1UJtH1)c~YmcbGJD!*t!_eRk1Xr
zQOJwNq{WX!%d3Eg5_QN`iy6r`XtB5t@S#2FE<>3++#~)u{PkQ73raRGQrjd8p!^e5
z+#tU)G}TQE_d2p7|CF)+`0fcJJ%b!huRJ1*`gQi2OR%F{z32?2CyeGz%frJoiEv5d
zk5n!TCmNb~eqMV;1Qpxo6r>CjAju=EU0sYDm50h2m-LCDkBnNDmvRYEuG@OiQkfSO
zSf62*9TrC~n`#?<eF+e!RR0d|$%n@A&&XMPk_cB)7uI-)0O>h5+}Eo4(JAd_jSpJV
z$b|7wUdTZL>@JgwIV~rMWSg>j<j%_=e(t=?h8-OjG9BtOdLo26MlfmSep$4|Hgr6p
zm;l)$<E}#vBB<u)o12Oj@@NZ324-d=JTOnZeo00QS!!v|WOpf``o;l%j_X9AS8-@%
z;1oxtr%(P(4#Xk8G3jdqX3B8N((z!8hy;?2UoMjn!=w7bu~)k_RN#5CIl@e&Q1zBM
zvuGy)$qO-2tB#T2Gu2*Hu|*o$&PWK~y{?R^`A(!~G?Jka`#@i{A%kw^9)GxHNkS*j
zu>MtkNrAmbQu@30%Au^ug};v5WOP_^f#q~H6%@H9x2u!n5nV&c+QD`TYELKM{QgB1
z?&@xJruHi!&B{eZ?IbFC5U%V?kXMITF0tolh&aT3uQJF`NfmwN4;RnO)`017?|qJu
zN~lrutVevYD&oF0b}d>(3xt$*J)wVzM{NqR8~sbF=%v+h{L&9?Q1s;PA&n7G7HnIE
zbE%;)e7Im_r7mpv2sD0PBBHxI{2@&fs^~kNard`Web5R}SGxXH8I8=eyV%C6qJ$SK
zT^9okpp@gBJI8-2h(%_brTQ}!xzt>d3YG-8FTpI>%11(~v%#E3zbS~(@Myfz8h{$<
ziU-Y#gv1j>941bakwTS6wPLLyP;bxauOA>GvC4e?Tjk2=2I&~zaStO{+s~$_yrqH!
zjNBcL=i<=_Ei3olZzG6mNJyXbQ$fd6iefL?Dk8sk;Q7?t7=9%EFng1!jJW9i|In?=
zqBl4G)%(U6L&DZN?ek?K3NW%gZs#h6W>@>(4rd!futR*;O<e*~otHbcDk_G4`F_B*
zlXm>esNnQ?ixMi8t_Xd0Pyj_9`n-?d#TZQZTvB|sa3~I&v#-(QM8fv#{bW&NID7M6
z=g%|+L=qOv3ElCL<K>i(<uoH`IvZ<|JuHWI%Nfny|FJ^j*6>Sue$)uk9kOd1lx0zP
zomp9_<xkrDMAOsJUxv`0KYS_Zk~E?d;Myyt8-*49%cn?&7y=vbC0^%x36yN>N4Kc+
z9ZUbFR+F*{@ZX1P28ZtNMh3Z+oUTWvF~00Ok~hu+d{@pA-1kZZ5$bODyt%fB*>isq
zUtt13*R2O^HU-g*gTxP(Da)AI+`^Fx2@G1Jlh!>>^P@N9M-!yrRqSKVbLt;01IRvR
zwV5N$i^e-If6EVA!>oDCV-g+rg2kP;hQP>)YNlOF+0YtR?P^GeV)Q|FJWq>HnH3RQ
z<1cPqU&F5dzTjC<r3VjpJM)XZU_!}zYi`_QT*HF=HIi1QbRqH3+2;j!=+Q**FD+l4
zRm{4`swjl03*kwh+K$(3(%i({1RD0QVEQYfn@>Y@z*RuI8+ESHQU+5pd3N~etAt&c
zZJjo-DxR=C82yK4Vk`K_(fAK`uH=d2A6{*cNnhEbE1joFhBZwIn=N4rC$;g~zFP2%
z$uTT4b&{s@=n?xT=S8gS!SiQr?=-=ANLX$u?<cLLWG?Vo;sT~>NQ&~nYXbL0pVj8(
zA)3YbJ4~!&9$TTa$*)b*fDftsysa6%v{$aK_G9YvnAgmV*zFB<2vTepQyXigZD>!#
ze?BvZO->O9+XK`guQ0nIf&L|}-CB!3sBsqaroXT%H=+iY?lv^16nkKnF&Rv$_OsZY
zqAxXP9Mxc2?M#Ph#tY14bbob%@+@}iThQ#CUR5YjZX{6f@323y?}yAyXR&TavhGDY
zRd}pGQ*bNl!1$H*9PSs*Vuv(F6aRjpg3mQuqkC#Sn7gBANt($VmLaW|zvN1Vu&pdF
zdaEy3)-AS+Hw5P~AC6z2>?SEd?rAl))%}L4Bqsh~doYh_N6FQ)M^fO*fIX(m@E!Yl
z0=gC57O-{MXu>ut1vWJ+s!k4%VB>mGA85LZ*o{1sZR4H%FTCs_Zc+OK>%?r(U!5iF
zarR0?iw_Cz-YR>{UND9&jPF&nbNz$0c#p}1=BWU|JMdUw`Y-H8MUP$e<7I5~C6!zG
zi!x+HnR0DpPhhI+8&|yLSFx06?Z9zSWoWT=^AvwEg(a$+jN#v}VRAiExEroSu-Vk}
zQ&^k96ug@6s^0mB4aY?k=sw=@i--_@L&`jMiDjuyt8@e7J*x7wXA2L`J_}{8(F<6y
zB*I7h-ojpN?dl70zynXD`q%F7i<n6beZ6ZH9V}(Dlqx+}f_+wo70RA}ut=p*R4c#$
zRp%n|#l@9i_1g-G#I}MRX^#1EG=~wSW<1QI6L6q2U}5{Mdll>JlfIg6!VIR-;+;ur
ziZFRhlq;d-FJ|`ZFDAWb7qsdb8Qu(01n&NSGM}c_u{3Sb6e&42XxQDXC$^{nAMfgn
z(~P#TBX9pR=Q+*+`=ygI)1wsN!R_oGcV9XH9Dn=gPA;G~WodrQp#Xffk1T(DqK8wj
zbl!{^^1=$Q<oUfN^6>lH+6cchBOK}wZ|kb%1N@hED^m-3h<cLP<Hf-Y@e&FT>vwom
zT6tuZVM7iQ9BaF>##q3&Z0Xs8yby@HKV)5cDF?iN4TOqjSb+kmOh{A&KEIoc8BdS{
z->g+qH;w~1s3BO9o*0Z<j_7lG$$>RDweWEc7gXd7gz%+{!(m4y0|o~<2xv8-i;(4o
z@#`f|-1kU=@#NU#FIPD@u#a?+mcs{LHRJZSr=)>?imfmtRt_p{kG_0N6@ZbJ;5dzW
z8PE(Z;NEPKgZTW`!KyhyFcftVc#$dxPrj7&7c0xdFY<>PLa#8~5?$LXVW|KwJ{#m%
z@9^is84*w1Pf=)$J=5QX!$HtGV`bw71wefJjqG-Ker!QyK|~r48Yf#W<wPpNyX<-C
zH*pdW8YJpmKqbPGV4e`U3I~FDrbaXlX^2p=`77g~0!q`Is|i|oAS&#3sr8cq`~U6+
z_9c-)<*<Rs6gLq#{>Hvv7?g#{n&p!lgA`Ej7Of50;c3S1Pixce^3d<Yd<?g+lSd`P
z1q=qr@TjePW@cFdltRcslYdlU#zgG;-XJRM-LL8LARPxT1R>9(Lu$ZfSA*N7s0I@U
z3Qh=;@o<=-k>h=VI&?%8LZW~Me9D==yRV4=(kHD%kCHUNTr%@xnyMCDuc@hu+OG_s
zc(mU&Mry#Z&M(Q^Q94i^ta!z`Tm|yjvMDv88t^{=009604Ayr%)?X9{a5F1=@A;Sy
z9@|4a$I2chqs*)Z+8G&9NK!`1h|DM?$qx;Euk6SQWp7#8Q6WG7-ha+H_jT{*yg3E@
zD>TQoVeyWDqrtoa>=@HWpJr8qmwB~5qQ`V$wTNudXI>F#1r*O{TB$;&8|^(;XMkn*
zTcgBd1UO~&(EG8p3Mi-XakbpkgY^;$wZJF>j8;^W8Vi*`6|*D_$LPa5d(t(zI096<
zadugjDnigtX|wk}22dBt;>qq#fRY@W-McAru&aG5bb!kcYVYFjX&fSe3mdIgg_;zE
zUde3SNiqakd%up&Jq1{Gh&HkQBnI|d3365ahVcAtb5nhmJlGe_Fb($#K;2Xov+WN<
z=zhr3V)0uJIHtLpn_qH(Jf&Q%QmY}vq<SrD3dq9wIoGxCY4l*D-9y=S+YkuvzOhO2
zN&~rReE&_S9ny=>YlCURh9Fca&=c|x2j#fNJm~KuZB~#O^E@*E@8IE$8-wCtQInp0
zk!2o>U*rm=6EFarMV@c!TT!63kh_l`{);(Lm5J`e>BFvhRk@ahFcfOVHDMbRXfGp8
zmw#Ii<ZV4>@izQW;dE%RfQbf4mKd%b@zR3}8rs`f95*yIMt?8=ONTJev2Xjm0Jq~S
z-y=#6*tdEX@nnqwB@c7Q(3k_fXWD9eg0a8_&Iw*&X-0HgNiN>+0SUxk(DpCgWB{ih
zMJ`G0jHoP`%cAL_E+lN({)wSI1RZ<aHbIA&kZJwdcT9ykpu4=}{+NRtQmAJw(H0{j
z9?fp9Z#V+KqXaf?Y5gG~O}Sr|HH_$ZYhJSWiZ<lUm{GH<u95yY3Q50rXGCsD-1?Y=
zHr(gjx>Q6xP1^kHoh3|uP<J-(xxc3t#MVUM>>jm~B7c)v_7omQSD*IOKPw@^rSX?R
zc`<bujl9S-uk&GK`}IwN_O2$>;MA$TFOFbU@@Bj((udKh^R^G}p3nr3_uKd%lyjH_
zAR&zHFe0O1tD&safbrQ<e23a9_RXN(+(YOvni?v2q0XlPhJ$kH)O4HJtC6(r4XeZG
zBcW@xF-9G}YmKL~#cyNlZ~ZzZ5BlM)j-o#QM-3Lv_D>je{KdTgI?vJ`+~>(dX{O7U
z)xbglZ(2XHhn1A7l#G65L}!?Vj1*T@fw3SbrQ4GXJ!Qgz^Gle}_`UTbyw_C0wY9D2
zcN;l+sgfBMR?dtVh^k6Odn)kL@XY&JJSA#Z*k*3M%!0gCdW<LIRp5A>V;8zdg_I1&
z=njjsA~&bW+zC+?uwkf<u>47l&RkOd@p_3B{V@NW`uT%0DBrDDC$~R%H`Ts313TH!
zJWk!A+eH~1E;3ZneWpcyYq4eW?d(X=^5F=PS{WJ=22&j^=@AjP6I3(BfnFFFn4Wy2
z1YvVQ-lbCv$ig9JjDedAF@%!BQ_m`aF?r=)Y9b@bj2t9Np5aDGU5iYYaY|qn;Iewh
zff)(CRqv+h<3S>n&VIoQ1n_ym^L8?e1-Y%H+ZUbYL!Q-o`YtsDK+<|7?HpEgO!h^^
zB%=V@58GdzP9VVBeNQ{fN;dT5BQDu@P!L^RdQZ81nE+<NlZ>~9*b(~Vwo}$DjDX_y
z^$a%x^rzG9;J7&vUljS{p#>3S?e`)2_elbXb>C`sKg)$GP7g&;Qi!2@l<5sF9t3!l
zd#+WciyJ+O3YDyu7DwY={gcES1UNh1CPlR7MGv!^9T#0BkeEl(OTqku{EA#6{F>oI
zJ!gi}sd8|rR#`cyYLoz*gwYhI6an<rIjOX2NfK=>ZZI_|C_&ckZyvKJh0ysU#O(=?
zMwbc?$#OkX0{%Y!pejBQ^jtzE@lu)$x~=7B<ioBEHmo(-5p1GJXFh#UZCMr_;w|}n
zyhIuD9YXHUu!*6U&&?-#weg5i;c|tls|vU}HeXxg6-R>Cf%Z+XJd#UuH2i~Cg)4R^
za=CF5h(h5b<-ey2=*feD;B{^_sBx_MPeKWY?2XQBwC5_KZ_0k(bA{Bw>XsXYhL$Ai
z%e-$;p-n)=&MS72Bn?<8%%exzQb@~>(du{{0cAYPobL?Ogm>Y~fyo4E)K|j6cdVL#
z;v27ro~tLq7-gT|KAQ|GqP<}MUo8RE*8d86BcKgE{n4t_BQl8G{_*82=>(*4^G#w=
z=n*Kyl9Cf*Wl;tB+m9p01XL9l^dHrb4n$~m$22p`p(}P{i^_?LNVj7_yI6q);cqMh
z{r%-o<dyY%E$RyBd+1#kMh$?nLmHE6S#qfK5qDH@93Bbue^O>@0XP%xT`H6*hwS=w
zIny7@qMH13ca)FnK|#NDbj4XY<lQmyMd7?OdS~+>O0Y~1K7Jn-Riczbr%!QlEpSO9
zZ$bOF!Fzg;x^qeEvA--bJ-YLu{gpUM7>mpjRMCfO8I=!VB{JwNyY%#XV^QRjSe?&e
ztq)^i*P`d@q!Ie+zHK`$h?2BUy}Eo{AGTj^XwO$kp)TowJi1G~NYUr|iXllKgzT-a
z7$ixe2GzQU)b^a{dTC;!GLJqOx;`hPb;P0T0j$T%@>tO$tJjS%t_N9zG8UR_63CbH
zUI8<97?IAW1t(|d!JtWKLtv8_vdh|{=oF?w6rW;El+5(Nl2yCE^M)vrwLQs5<3)kk
zsp2JP*8nz3;_~jOiXihlkG~a??O{>Y{t}`o06u9QLjtRUD6TS`rMr0x>#l9jSyl!(
zdX>s(DTyCFkM|1>`?ZEmCk;|AXOj;8OZNPxEiXz;v-lWRyM$H5y9F=|=)$$~2_Z2p
zZsa;tGKG8n0~3vm)Rke^h5M`#KmHx%L}ImSEA>~WG4bFiu?lM)NZNT4`y+%Mk>rkY
zK7BihX?OAz<s}?}WZ&$}BLl1`dg;^dhVCRLPgeLM_p3I1#YizJt}Muz62f1!OkxvM
z8J{>0-kZWbp9?*lOh|QVA=*x28vCpMdr$qG7W5HA)Nj22MnJj0WkAczH8OKjvsgx%
z)*pfQM3@>dBRwmiLy}hY+$^u>Fz?8_sFjrngZ}yPhF@t=PuG-NSivIJeL8DS$zKza
zS0oN;=p91z`w54*e=cLy`4@flzi2>KQC+_20u^E@Y28WFS;OA97B)>QX}}GOd;z!5
zlxTo@-FaSg15+!PZzF%A4oA(4v|~po(3;59+kN3*7{7VljoY;9@cQxWA5IYp)I`Y_
z&!)bO;Refe>~E-n{ePhs3m=f9><4$8TRi_@Bk9`3=MMIZQ|G&6c}a3~%TLPn--{jW
z(|cOF*XLEi*i|&|?-UvGy-Ia0js72I8+xuvd|m}u>tlYuYa~N~0=+AELo&1|HXT^&
zd$4yX{g!XEk|F2Fq5+SG<fw%4S%3JtGK`9s+C2M7hSHad=_r3uAY%>Dd;Vd{uxGM9
zM6N`RKHpC%^z)@cDjTAdj}9vX6E@BHCYc<ir0~z^{h>yiby;*YIZE)owWvjfjRJ89
zL~VHF(jbAlj>p3qN?;dBXM5rm1&Z2{bz1PDLncp)I@Eg!pvk_ytZ|+aH3r^2DQn4q
zczS=Rz;yz=_~=A-+<*#&I0}^(J20XW=__0c`~;XiSAEe_n;M<I*-Mg)V@59LsAHqz
z6~WDcoI1$%5E`!UW;NVoL0fu>)EPe&pv_0}`BXd&Dmt=%>#8;zdRa^T-u09MI2JEC
zk>+WUiS>#SmdTD>44V_*f0c(x*U<mG&(kAJu~GRrA15jiQZa2hB@b8IE{9z>a7Iuk
zN_DB?LRKtI<}Isu8232E^kRw;UFb68V!FzM_`fwN9Zki<+!)7?lyPRXz31N$cAO8L
zSvpQhYl8<Z#|M*()U3#{c4jQcUI4v$Y`7;XhzGmiyF?yUHYAVFcgIHxq38E=Q}@X5
zaQo}iXUd`Mh@*fx@ZC8Pv|dzi=kZStDDwxNJ|5#hE@{qoVnw3JY%=gg7!Mu_z6|ch
zx^W@7`@4c)e~TeK1&Wcm<9K*Nnek0xj~i`FPPZI$l|b*yXyZy=;~}Ap>$JgJUPNr~
zEez?$A;#_aCz?cgIFUq}bxGkzv7^*PM>i?-AO@%9xhxNqhM{oofgoC(Ae2x4l15A|
zdv+%M3UH+$$FR6i80o)$RWkTU7NybJj!SPTg2T#IX5CK_q~iSP%yl9j$+|eorM)1)
zZ@-{4K~6EW`)}p7)_^>^`7tw(HCPEerOb2Pjl~glo6O5jUqxh>yT}*ps|=0zbjqtE
zB~W8B%aQdf1e7K()5?8I1sv0!tDQqQwD4BMPE1e<8A+e;RI62mjq%yf*gr|cp5AhV
z>7^1fF>dtuz^@M0W4~XLX-K13>Q}!JpE5cZ{&9UcLjx}SHvfCoLk7t>Yg9_QDx)W{
znvCz&h~Ujk`#dUG7Ln5zh38&WMvwNKA~k2UK)EBtVDG9Nq7K@c!c3G=q5o^<<?JJ1
zutQPkX^Kbe;Qg0sMhR`K{+H@~N*8i5eBtFaJi6<4FQ`ag33>bYUFxC)Alduy<$KAa
zXr*eRq$dGoS3i;6Y6nQUjFq%y$|LcXQ`N$$3aG>DiuqQg9{8BXy5>ESM=7?s%T2U+
z^seSe{G@<BSfms(C|b&+g(<;&N@W?e`e9R?GhHA2{il6t8}KM1ty1TPyd<L39aT@;
z(1*@nv;7WxawypF1B*Sk_(84*<eZc<fO+>K@!Ws1NVzzhua{l~31i1^i|ZLcG0Ahn
zzEcL7s~q}F06tXm<KYQc4FjP6b$Zq;NE-PU#-*zDaUhjE{_7>I24K|_F3(IUh2RUv
zE5iw9G(l|G@$1!x0NhH+sbC!Xz$~_7b(99tM^qE7qx9j>tM40;(+56dFUQrl?_)O%
zM@FY``rx&!SITH9hMu*fjhGu7m@v-rlS8c@)Zy&9ue=jMYy#RheSS=0+Yuo#Mpk;z
zr|C%e<}HM5&ivuPnb%+~9%%}BLjd7wIUl|U@FO0UjG#eM4=E?7<6G?+fKl#>Jm*(D
zsA=$_ES`Ik^sm-*Jb#V^eCplS$sAnBmo?&avdbJvBVDmfo|*)`$(_w5FWAv{nj?~3
zeoLf%iZsI-NnLoMk?SpYi4`@CfA=}|W|>5&?+phl9jH^gK<C}XgjNVu{hrAyq?`J2
zbmj*xx@F3!k|xT4gd9Ejs$Et{3`{~#XkKdrv7F@V-bI5Vj*&$+I4zT2v|2CvEolJ-
zr^MXeH!74oXzAO~v_x|KG_q`|patX|yVcXm6o@r(Rd40X0?ATr&g@(O5hnS4mjtW!
zu^<^7^YG(2lCQNO&$R|kC~pf*4NKX<Ivs<ajq1*lwm1J$iSlSd;jw_jUYpw(B~#hY
z<HJ*=eOmD*iOU*Lu~u?Dxpfm0&^@Wpc5{Nnk)@lV*{KdmX6$VywCk9!o~I4*{3vOf
zvpbYuSslpmUQR=1E0}KA)J!t%An6K)U08Cu8c2L2*xJZ1Viil$zDd)4q~P@3gtOFY
zu=<oMYPjGBcInQPlpAFaDf`nn`-SVOFt8{S%b7EcjmlZ6Znw9S{=>ei2OaD++yc+K
zCi5hgT#`X!#M?xgk5932Kdk~_`C?qJWef{2z4t}nGe(MU`(j8rq6|(UgPdLx!&m^d
zMbdN2N|OI=rA=^F2APoV$FTwfSnT8B&(|#SNolUOXlGOjLI{sd*t7aEcOTj>HRq3E
z_DmaMJl;ycG&{{Wo6?J6?c>*XMDwxUlNAo3%LG{GaEp-r)r0X__>KEGRA8yLHe4(r
z1Sl=f7!Y{fjorkpbyZcq!`K^Soj%YLAYtL6)<A6+mK-m^eAJ^36I+N5?AKC+%lg%#
zc(yK#NxMCi<ya#Y9qby%?4tl?E3~R#EIP5I`fFSKs;yW|re)*KV|mcoO&IW->%es9
z4KfmWzF-f|7(Tl81rLmE-8)o2JFu)Nui?t*E=*&fZ1Myh9xm1`J$rn-6I1!yKiLr9
zgVmmf{U9?rXeINlNTBP&5=Irp7K(bYi8AFU9}{I^zRE#U?NJxz-W#i1IMR>(W1^{}
z8kT_*VR@CCX5HA*{bi<1)d5V06TZpeWuUm|o|u_z4|aST%gB2(gs~e<7jZ^P!`k2p
z+OsNOG5z1C(g#kDV!r*${?7)bV3gFstZ=3mOP$Vt?Up}|c@Id;W13Qc)kc+yHTPkc
zJU`+k)Fv_9VeVk_Cz9}CqxQu`yKh*PRq9g6!W6b&dJzZ|l2A)MA2Go(fC*}Ty0q6k
zgC(~z9C!4`fxzG6?(?)mn5$NxRbI~z>_+LA`B%dd5dSK;J6CN4tA5WE-Os#$ahRmO
z!P!Uv+dkt~U-lRl$A6jXZuAmnUVB}<q*)wt;s`IJB_}ZdYt3;wS}RzsR^6nkfjIOG
zS1L8<PGT<=&XOhatzn-6`t9F;5(5#ImI^SM#%kjtKOV-`vA3aO#@a{4VEx~O_BO{X
z_V}cG+{S}V>`Tqv7gb+G!Qk{T;|0z+EWY-OHE+TecJ1buEVYxOAY?}8S7E+@-LR2s
z>~Hvub%))_Yn~H<i~pXkojve(N4eT8m--HdAFp7E4iy2(VejzaODmXF!OsYv`8_N<
zGV^C5hX_RNKk~ezzJ|?@xOh=qB|`#?{Fdq-!Z7!*#AIf89pilT;Ot*s3Y0wO`lP8q
z2paK!+lF3kVpnFkhG>>4(TO?T`M@<n_%$y?ty#H+{kBTE%dkm}jD_~@3z`ao{dp$L
zeC0QG)~GVgQ;8N?`^yT{mkNL+Ausli&kmNi&P=;mLXSf3muJ=p3P4bXlz5%!KWxy>
zWncb0Bl`Qs;!<uFKRgrf{OkRY46z^Q438tSAi_G)IYxmWiWL2B?&?yYcHJNgksqw6
znC_9|Vh<l&toTs3!A*rmYz7`K)v=?AM_Ntu_xT`N87toxJ8-+Q*2$wCoJd|T@13<L
zA28RSuG8|SMbC`K?tNh4LFX{N!;KDn(BWb(gPW#D3iy!=ln?k&m-pRQTbKBNGJ>Nd
z`xzsm5~U3KW+sR@wi+s1{^J9|{M!_(4lL-&KF8V|P6WN?w*Bznpii}1A;dB&Hni&U
zhU?L1Q4|+lKVdq<54du=K)Ydf6u7cytN2J91y*u2&d&%yQ`(1LQj?r0k;6ZHGzN##
zW{w%g>k7d<^T}duULI6!<#uHvTMDVW)Oc0y3&W}|vC1Th4-GpfT$UP>L9`D;P1S`&
zp$vkweQ<*4zpOWGU-a;3LoCBsG+GP>$(Vaz?+K%!8ad(6PYQ_ss15Zkkbs`4^O6^1
zMA0eBr-qKD1f(0S=fLP937v+Y+ij)A(YpDmvR^w&2Yddx{Hq_*;M8;Y4A-Ot3Y}$+
zziO<4`c9pmNnMhII9aKUj8~HATlM@v;B8fuKHmE5`*lSy?PR&|HclEHZQHumnyZFx
zIfum8H7LPRRZoW5^Rmcz^7U9?k~(@>xXxC>t_s=)3#T^?@kr*i-S-fZ20|!llPzBz
zTtnhNGcqWkyH?3wTd5jIQ*27S{45bfN}Mill`5iA+9)fLSPe88=gv@IdjveFrhhoc
z6VT?#zM!vU8Ylxgc1~E3psM&@!pwmS7wyxpJO5EbW4XJW6?}TIlHF8oeCuG&nS=tW
zE2=18w8ZFdfIi&0eoT|2;=pZv9oyO0l~MMi>uX8H27u@2Nf&sogsQ1{144NTh+bGm
zkE_TK+V?LENqQ(Dz8kSKeOt09?ABJXq=yky>m|0DO%TxAKZhiZLl3+|&ytDyjbLG9
zZ+Ak5fW8E(6=l(hAUEo-Va3!(;qp3d8E=dN@-q-n+<nK12!}b8hc}JjgQooZ4qrT4
zMMl%Qd9>)~7_Es=nGwi8_{U1%J#co%5}B^;DyE-7&uOY-1VJ+f&sy@N(3182_Nz0q
zq?;zZQpsh8U^Sb)H^7fW6_a--mZ-_WZc~w{$!G|$_ie)Dkr+~yQedT-r33oGow#xj
z1MqlVKtUxag2>t5o;S2+fw?mmuh~@T!}^0Z$rmB~=tn&7omYqrVoUp(?HTof>c{U(
zJO8-QxxLcpTbDWD&Q5r=oUa~qDR58lcd#KZo|p6ucR9iNiB~~GH-IOx%|mj85y^WB
zDx1i2fndPq^L;&l<Ab9bml_VCF1O!-{WrM4dh3qEb|48N^x2*;+K{2g-N_eO;<@1F
z&H6{R;kr<wpD+}$v5D=jE-`$*&IQH~<uticbs&J@hMmjAG)C=YB9dXk1zfS4r(&@q
zK%4fy^gdTPW)P>BAI8cBi;Drv30vCW(bq^4X&WK2+}6$s9OQ%{#-+p$TH2rx>$P7+
zzf4m12)QU$!U=@STrHpCv|uTDvwXDk7pXC=Jz4%>uHW%ed$(tZkW^zhZn3ySstY|E
z*&M_PZyQD*u$U2HgG`FDqnZqK&MyA98OjOQvK!qCt2IG|lV0^LkrH@gwiWtQIbrPX
zLc&XVO`xYF<nBdN!_cb_%@dzFA<Kc;yRt+Bc4-4ooGYY(nHN4KOx#@XtvW!(S4jh;
zxO+v&3+P}iJ92b8lncU#2yr<d)!|{*{12)-48WKBDQ0Vz3;K>}F6r2+!(sQG=52dM
zNO;|1s+P(Pf!rqIMk{L2uk<~un2#B%bLo0(&3S+<bO7IxtOlpLPkj;hV}ZEECZ|X~
zUN}=qsHE0agFUW}?J_e~n0jD>oGJOhiLIXszorVRQktg&<k-N$sQw+#A%56>g?COV
zRfSB0E1p#>>~QXx{Z$_^0g#&t4lB5%3b&~x|M>2*gX+L``F96FxKRG+Y_E<g{Q1w`
z*I|_d+AIGy4LlQqeBUwVG7eR+JvN!M_mdMkN5kYgsYT#gZ{$q-FBRxEpqeS#;sO@a
zuVM5JA~5pQhHYd*1y1mql6f%jK(4e>*nGSwD1OTj%@|ODsekn`TX<fe>*eIV=_Up}
z!eKM*BPx)+B4;x1#0Tnzd?zxr#6e#|)!Jl51tewzhcBk_LvQN^nYRKG@TseHWtvG9
zl6$T>ot+ebT{~dfp~L}2^itQ2gZ|Za9-Olx3PGW2RwMf|4xWc=*bjuL9whOFd4)`2
z$XK+DB7K*HS(d@E51&=R(M<K+mnab!@*uq-Vp8z(nf7j-?17U_TQ=HBqHw?B)TTzZ
zG<bAr@Y`n|oO?w`ckUf{A%nwt@v015^q*XQCaew(w&}_`wPK+BoQ^I|Qx;M>mA39y
zs)N38i=cd{IJ86>SWNwp1;1PFoL5e1z}<;+mriR+fP-z2T|}rHkmX%ZKgOa78F%JV
zELJ37`-sY$o>e($GLMeB->V7o?Kup*PjN86+&XZHga^6=`l~AiMChG(qgkyd34-6H
zjom!);3e%)nH{bLtVE&XYyFa-p0L^F;fROfquz=#uG-+XsTB}?N(w&F^!VHJ<H0xI
zPya6I2yh7tSsJxULC47b>d<02DA)9zun^LLZi>u4qKGu;h6nztr<MbCitNsJzjQ!-
zo=vOOSsE;FjHqoW$bwNyD?MGEE+{r<Ob&%g!(>>RZjFo##PVh2q=%4z(xK(?Ubr;4
z_ur&S+K~do6ZTD+EC8vw3=x4I(y(WhnwL-_2}g|%70NpRyl)J)c9)Wdpq!niT|FG|
zzyIVbo(Pa!d-O$4hZG!1Z!wuT@M6ou{h7>n0Fhai(u*ghU?9_i_x6GRoRtYiTKxc4
zOC6cd+a$qoF4}OaNd%0?$9s6E0L<=BdkjiS!oLN!sfT$&5TX;=*fs&MwW5~!>jDm_
z`mYJ}4e*1rl&T8p>p|Uyvrpa?Nx+TOk}wMrFZ?06G#A$ZEZ%n-X6O@#<lC>#3=eU^
zr=C{IYY*WdFOBas{}ltH-=VyB{^Nl9&h2~L-T+g22EES&#DLX3gekj|4a9U<Pje^&
zwD`U26Vw$2P1WzVd~&RC@m1!vsu>bk#uMF+d58eXrCa0IeP)=ud1@relLUo{>4(X9
zgkgU#@ca!uM#!$cl({>g3wI+wJCTP7LUFacM$$P3*rR!Zw9Iv(Y0A<qa*ZDn9=BsT
zdvtJYYd@O#tqyoS+GI=!=L6B%ha&cywBU6n<|R2!2TCqSyb6)vh1o;X5d=e82y$u}
zI+1t;YUHy6e@=5lV}Zq~pHnmt=N(ndx~mPint;|##0Bx4Mqb}O(}1x21rMfk+K?C|
zlOpz(6E51={@Gcj0X%N>>Gn4*SYIekdisR}=*e20&8=y{`+=0Zqp24B{x}|W<R3d+
zVX-rQK1K@@_-*6dS|aeb7>*>Eu>)7YpZbMNI*5;Do>ovJ!bg@CkG<DykSy6UIB<&|
zm`<|MT9<3WSb+71&nj$yqfwm~dcXiPev>9fikk3w`c0EuCo34|6fdcMI1I$kKmW6;
z&;TxW(>BZ7te}y2CBTk>39vu;s|7?2C|<Jt&)u38CVZ|%dEH=!*q8pFA{y19yw~jF
zQ)O0&AUe}sh++W`7a3~-dv(b1X-=`hv%<F4(wdVKD<~Ev{i|G5gZ}{l0RR6Cmv=bT
zZy3hy?7jCmw!?AGvB&p5D2b>PDWZw?AX-8~Rv|N~NJ2`IhH)yCAC;(3GP74ow(95q
z=X$T_daw8W+@D)6UFgmy3lRir#eJjLhys30YJ8*-<j*M&W&4PLslM)yvzZv4ir(s+
z&@e*mTW%rCOc89}OWJ735Qp2(IX10#bX*E<7}z*0g0|rtzKm@WV0K$kQcuyL$GLYX
zdz~o846<t^A|)ZA{NTrRJvzoqk1fu>5QU1bfsB8x6dW@Sm^>V$VSBhb9390_eEZD>
zJ4qQxsjxP?+@+yeq-`;2L<}WGag+9EW$~%vL<#qC8shn4&v#rC$4-ZqSJSg{kox>g
z_lzA4ofgfCX1gTdGyC;VdZYq!{I@N;E7KsLSwHg1QWB2m^M0<;Rl*i2-SM4VE9bwN
zGmO=hf{yhG^7iA(_<CT3{qP(WM0ieis=hR613h)p9xB)omdLgHHx(&HRu7w3%i#1<
z&l^hzRXA{{%$fY9BFWw-mE)K!zO7HAePXDg^iAy6pAs~j9KWbj_dpJl=Op(<Ge{7Q
zw`$0;q~Y<YNIhRx1qfX}Pfu8*j+n$7>FZ9=Flc|_@#r2!gyh7qq&RC}aq;CxjtUyu
z)(4o4v@2o%E$!iQH%;7BWro*?({U>N%9|I(%INY8xqV=}7IbdvWP63t@uKVcfJ&eW
zaz9UNhi=tIPxGd{ldMKCaGB;4VyL3GCn8nCK?kfcvqOF<Mo8-B6}%&)hS#Ehy$UsT
zQD*RllWb*-f2Jy@^Sabv&z|s}GO3F@(J3XwyfGTX4h!!uA|dwaY_n0S9xCU`{G#ei
zP@A92{qwjwSjff#vNB}kM4R5R%r%ASPs-UILk*-PrSt7LN`_C}>BP1KGc=uJs-*R6
zV0*&M$iEaalJZlBxh|R`B+*mFE=m)DcV3GOMvxJ_wei)XFbntuCaA2E)PlhSY;Z9n
z<7a%rHi=M6q{gPbk&4%XliuG@tA~166Q#s#J#B^9nx&7whP4n=E!y>NTo*0ZcdT|k
zXpKFcP2-m|v{6S5ynbv_2Zd2Nb2ZKc%$K7rkK1Y^;zrr=rRUm+(G#fk5d>Ui*&+q3
zwUK10@#nOM7LFUP{rAuhC~4F5ERfK~8r`^@fffynn*SAaEd#3VUi*HfK?`vzH%gNY
z)v>U;b?3VuKz#hUFM>O?@c4K0o*SWRxUAJqT`S8#b{X$B?-osbjotIcq)`Q@gPJ(v
zX$)AXtgTMc(Zrc5SB@n)WeB~{{q@&^0r5Bev3vGwV2$gh(3W|5bcVTCM$#GZcW_SS
zO;txw{aoMtunbC@TDwjvGLU?J?-)xd3Ag7ZJzK@45X5)>%7G=IY44u7)>mq%=eoE`
z@1i&kCI5-ic?YOoCnd4IQ^nLexr;PH6rOFzi!Y`CTUavF%RZ^VG;2fQlASQr9E5vp
z+<=IMq)T<3%1}HoPifH=0GrH_ZXOX}<I7Kc25m~9>bU(**ue`S-h2He2?R3Ld-f@_
zDZ+~R_j|bvH)yBs@0kB>jixoGZ?zcm`1sqx_TwflR6c(2LdD%0pVm2<Nv6wUwDq02
z`(F;Qm1N{_Jh6gX?z)Hu9vQULGpBY4bD;7?)Ei|<E3Ex|{m{mADM&oK$zpqs9ZT;b
zTJ8o~A~)}I)}oyxR$np>WH)CAS3t#Le5(bLo<7<hC@cZ-4;pEgE!iQu`%q4-nFVes
za(a(1ih)zHx_#;lJFMRf%202ZL#|F^w=#zqOqFOV-c#&|KVYsiwaOf``}Y4Asw;|w
zDnFWCG6&8|uVTmrn4z^O<|*T-2z~`t%h0?zVMRKJ+3%)c<<E#X(kzTC+4JdbE?i&~
zmkB>{H^th=A6);f7e?YR{cX?ARoKJAq7d6;f`#|r44(fd1W&dDwj)X0cqZ_DJk!wx
zFFUftCbfl7Tv_P4qn8K%#V=L~yfp^H_jFDCb3vG&si^dI;sf7&fHU_-W4x+rl`cIc
z2%3ZA)(;=~(HNdH_4un1+}O^W-QFvRxfXYWsUSg^utqD``WwM}&)vfVX9Yo7)LZpd
zUKpKi2V?q{=?KhT@T6A@Lf7wu)jxg_EF9VY{ap$j?GHqkFKY>b|9L^bn}8@@f6h0y
zr_;gQdOg#$LI^xtEe}0Y6vN??xxJa~G@MAzy4q$gj8j=Jc{OarQC7&AuXurm!W+@2
zz7z>ViR<dGqF@QcrRGVR(pR|6b7Cx;B7zoP68Fv;Ntj2<`*@5~!IBhmp7>7$2ff|n
z-PNRF|6Dkb^BxuXh7&BKfub-7)83nuA%h)~pVv2^prXFwf^v_s7#L;i4$f)FL56uP
zcds24!{a;Ej`53Q)z6)~iMR5QQE^WQRit88b<lTuRvh`PZhd{16tUZ8_24WU73nt(
z6DnsV@P*TCh?Sy@x%K0gkAE4$Gv+w2H2=zf<2E~_t*L@@PyMMcCJpggWJjNci8QQ+
z;<wFftAh2>#;>$_L%jde=VlQs1O5<YpF9&aoW8NSi6Kmd(}qoqx%aYQRp?_bIFs-o
zKkz)+l#1JH*p~P#<l!#n@YLe4I<hL7)YlxNqI-IKO=X1wb_#82l}gsYtGCjvot0Fy
zFW-Ls%|!{}S6_L=JlDk3vs1H{@-#FZ{3+3KS{bP2Kibfvg@sMF@rhSxc$?ZY8?;3Q
z?vF~CW~@4h{>wA=MV5|cq4Z8OV^xT&aEEP|)Wvm{zOaT0I{YW?+H~a9;8hzf*CwNf
z-HvRu2Pce>T2i3V!%Bh=!K{hlAfx@2iGYKRF?iIarcVr!5Gk^&xb!_4>vzrg6l$2D
z!ptl%qFx=x`Y+dM9o2{b&jae>N~W-soJumkr2!A4n03q^eGCVUH@0h;q3h6vT8~4T
zxcp~p&0}c;bW+|VIlvs=f6B|YX=$PKU3s&uhyg-3ZS8*KV}Xgg&PaTx1<FPKqm(**
zd{AqzI}u@ttWN@~y;kz_a_}#8UqgMY&F1h?%Co|ch0j`hYPE4_ka!uqg^W#-=ifF~
zSYxx|K942=9nje05~gW-sJ7nq&F>|F-eYer#Te><X?0H|tVIWZo!3jIx&sgOsprp-
zSLR*Ay{pW$@%3n+b0`y7(hJilX3@c?-`Rb20h&0K^L_uU1Ot<=OEUe6v~ljtk(bd|
z)Dd`3xXsXm0m9YyfvJHurhbP#AI?;R^N<UNc{Br}x5RYY611SU>tWD`TPolcS@Iak
zS;?1~j6BZwnt<rPgxh<RAYm_mxVwM>v7a(W+<t1ne$Q5cjulT){ymz#JDY)ge)bDv
zf7DT$SMyK8R2rI}2h^>?8Th8AtV&%VLGz?y!(l!NTy%CxigagSRsKHW*035_udI%s
z(nLXx$Y6vkGw{i~zVv*vDuQlSx$X25g8yYBT0l2YQCD&H@lzF4C={)}smO;r!EZ+|
zqypb79^Ea-QHJIrx_^4aDhPDe?8~<Yl24`;dT1!&=%2K{<trShDL<D(9wFcn^yNaA
ztOCwE%=f{B4G+)ht-owVAU;-AlvPU(Zw6*%fB3N=V$COmjs$C%PR^GXZ<K+6i*G|5
z`7hxT@aXy9E-M%+D$75~ltPYydcXeeWy1XayGLgXtS~w@@OOqo5|8(NV12h`i8%S=
zYgBNUC2n?lZatVN4p;ZarIOJ_qT@gs^TTHg^kk{6^@kYLDmPsj;aMU&6OVY2$QE!J
zz5KOEL=@cCEbC*kmx!9k>f-}Z=HReS+<AdR1pL8fyPl;k6OCz_w|5Vk!C%rbb6iRo
zBx;~<=J!8@V_eI%&uh(4V!nLNEoFtv8%|oQp87{9eOylVd9acf`!u?l#sV-qsQ+s6
z4hy<A@>?j%nnEqGRl!JvAGRE1hpok|5L<V|T;-ApMC&{5wy5x-lwfc=zGK5dcb~h#
z%f`qb9jgCtFE857MeZ7KazJaH#vN*aF@6bMPdV|G2eS&VE?REpM906AyLU_(;ivUW
zU+;4~I65a5u<bb)j4msc3mh{-+hoHjFDD-Ge-ypQZ_17D2c!<V&C>C@w8|rLH4h?w
z-^|?ho(COEjFYaRbQtO@R}sEEn0a4+vpR$i;o4W&HH7HM5{#q~B|JEh$|fuBD1f9@
z6WOylH0%l<QH)jMMd)UugiA(3Sl(*AW7dL(jJj0Y(`CHKs2wYExG9XltV?8{uT-3L
zk=83c%m<O0>T5@yh(JQO()x4=6<OXv(IjVnyv)mFz1=GcudCj-)3m4vxk$Ul=PCe-
zvXjRiWpUg&<S8fn#Sq@S4i5*;38En)Yu-3e0-AS2IRma3;?H`c_#;h1xM!r4o6{=^
zo`r+SIxdD#KEAin`L-~oBOdyYe5FCC9*}OAFvJ@xhdPHq5k#<!{ZU;d3%{g)XY~gt
zV6V+pU%y=x{~Ty>-LK^Eoz1*zp^Ac|Z3iFlxQii8rcz_qH3f)D)3>PJq9AqKz8bo}
zIJ%0ojCLg|!FNIa=!44?csNH5gd|BIlWTX$)fQ#k;QDc`K86DSsI~IZA0-i)>TGQ~
zrh-}P?tA6Q6m<ACy=vBz#@5<BeX^ozkotGb`+E@uIyvfli?e0$^mv%anl&r`e%4a6
z?Gpuy_s^`>(w2jrb4rV0q&no6bpz<ah6oXuAf_ATq1yMA|4x$zgq}4gKkzohwbAzz
zYa$i#;il*B3?(geEZ#R_t20FOx>4y}y2^OlJm)KRTpN4NJ-qaVv65?rMZI?wRN#`A
zD#7zg2WrW4%T;Yu9KQHt`i!(HzUzED<jA9kr9jC~(@`{7rb=jc$*4gh{5JCx$Pj+{
z(`U0Q9l=~J(NH2`J9{)AueUz#yz2B<HaEf{XXQ14>guRscb?e4-2e$&mQ&wZ7^8jP
z!mGPl8YtQ$8IUVMf#r?8-Ysq>;5lR%zMG_p`*zz-%<ZHge|O@Sz-UuEJI54C7t?~v
z7+pIko&qlB(elE#W*|?5q%x<pux`C9bJxoK&c*u)|5dQS56+Qsu5xXh4*2?{`v?VE
z4O^yjR=o6TsRQD?bnwl3(>-5h3KB*{e%@-dg0NVKWl^sV+=evNx2-imBaiM{iWGsV
z&(__WtaPDeNgr;UC!>^?RXTMA@6(?uW4#XQ;;r?v`q!;`IJL^hW!qz*c_2-w?|?2&
z5r)y8Cv?!AcyV@s!a!1$Vbuw9U7Yc$`&H(qg^^drg7c{>{NLC)wYFUcn&s>sAH_7_
zpB;VHVSs^`q<?lc_Btqa+vfSZQVk^}^12dP8<d@_8u}2UjeY3~v1|6IfH@l#tZrh1
zBVLQ*%zQ1_b;tCsGg5?>+dkg=7B*1*(^c4;tBG1ldy{&n3<w|f0zDlYw2+RvS6*E4
zmB$@kB5e}5RrNiQ#A$;~<|(PFo7JH@7pAdgC11#o>G45LEBUyK^1Mreg!?wJ7OUq3
zkaBtQiDn!FJ!y)|dslL2YT1u*z?U0MGK;6wtQp{$xb^mW+{(Kjaw@o9#ty~WMM0%u
zpjYbU`$ta7_#DOd!>iyQQOJB{b2bk6%J*uwke(tGlOsB0k1h}qWS&`TGSGczR?4AW
z4u!?$jFPn9gy<{t9I12yl>SWq_*@y#H?s9v&P@?JEUr0tezL}My%#@Q5~c8RWbX1@
z!#E*#?xUlfh&6sx`ComWC$X~knSt=Y5#rt()g3k)tZ-eFQuDk=3>`<l;MVOSLac{+
z+cU`$mm}xoHrcLt?Ap_X4w6HJ=c&tdyLJnxd3xM4ekY7SQ4R-gUl}6uhrd+&t6D&G
zPCB1sNf48|`C$fq!^HkZw`Rd(=BV86wdHXhKg7F2IZpMC5;NzWD_m>M@OZ!6GtIOW
zu3lrNr5>ChB8wPqHu7c|Vj5>;HF85`?B5#;`V?_bQ$V9N*c7sRKb%q|R>5X;B2BF4
zC*i&@<H+{a1P7E@3JWGUvFE3JKUe8AVZdcx`<O66o6@*|(?<@3N?fF0zdb`x(sQ<U
z6&Qo{Qd+syI6HC@4~Bb{%@Na!O}F+-8zaZ}uE#W;9d!4vQWv@x2)Cm(-j1<G2>-P9
zzHT8K9;Ie=R;Vu%1qQo!1+W=``(SJK{8~1APIMKYiuz03<Dro|&(V>{@1kBO$c8Sr
z<_Mk$7WDW;oecX!!&DPj{MH3lh|9L|g?wU#-1E7NonbWma{KwTjf)LEu1zs&ChTwz
zydZRehlYK$^66S5HfY>1%Tu_|0oQuZ-%}}6u<i;h{~N)EVfg><u;2nm$l3>$8dUsF
zs;R7+W<!`oL5%44Rrt|(<LTcDLwwSi$xjMn$L;+a&CBla;M(=YxV9~Z_<mJv=Wcxt
zl#jZ~PhR4~%{B7PM}JfB%ki|k-y#RZ`xhG3t_Z+R`%&@VGzuQ&<rQcTazbZsMa@{H
z5H^qH_`d`Ne-es~&i>+p*&D7bPF@itsT@oe>@t9B;LVT_Wo~>mDBJ$jNfd<)mQ!A9
z3=lZ^)+Xf`4@&GGdZykLgRJ?MhZ`&OVW#F3=R3rUdyVufkCY^^BrdXd-fG2*gZQSt
zT;Rv@xguzlNuq4lOY%w+88f4PY1|Hi2vc~{&*dkLAF(yXmyeO*sLg1&vC<p4A2S@C
ztz?mJV54?los7&UF-L=SMX*%PL25IS2Q5lBYji>n`k_&`TsMiL!7rF;;i?F}n+Z>@
zzSYBi;n=IElU91;+F&nFM`iriF`c%#Ru56e^HhTgaiq}qriX{B;C7zVU&D4i=mj~{
zT;DB;ldVc2!vCq_>@R_{8GK~y4XVD^Fe`<w!RD@55(!5cWjl84B4b}jN%EO|8ALzY
z`mrNX9gN<nvrl@+SY5#okvl1emg&wR1tCos2H2jZ$Lb^I;`ZICyA%+W9UmK*p@rv;
zt?76789=7&MhX3(5;pwZ&1lopL4m1kA-g37;cBUKkLs1tp}=ycrA8M#?z1UUeH08y
zMa#V%QbF!j)9D@VWCV&)=}q~D@Tg}N2a2dc;g())S(iQ{^PV1Bb(xA6d#(v^*^*Gj
z(U6p-Nx@8M-L<838g^8y=UNI@hYp2bYt4HKM7o~*U8tjj=-FO9cwYmBJy9OJJq@9M
zUi7k%gfZ%Wg%bO^H6cZ@Ej`s>h&e3{?a~V-uzaoeTa!Z@VWNk`MppVK@22hI0Rm=F
zJl~$SN>T?!(}jh{Ry-+Etgy7H$Q)zjP^z7PE?O3zhJN9tLQJ^nl)RfI?su&TZ0Xg-
z<bir-?ju7ecyZjUVzq{?hoEpntRCt+Oxs^6uXsS=t>Tm%0(FDd1w-s)T;HhCrRhpR
zxs&ZgcM4#~n${|1N5;F(i8-ZgeFOw=pTt@QmOh#)EZLLcyF-jRX`+W*ZM)8UeGJf)
zA_X@JkdY8@(sNz3HY9}>=Fj`s;LyaRruo&Cxzlwl%zO<{`OZGfsJ4MideY9--MVn`
zx_0t$i5gaAGL%x6Y{0U&*lW$S4k}*Lmnl^%9>u<F+#+R*<boLP#a3+y>r$Tv{U--+
z(b{@T30shCGiD-_w4iWW{Y6foB<|MtE3?emfU&ldG^Vc!mfh97UDrf##^tG;<VzdK
zkF@Rgf2<DQ0%DKDbzU5g7{Bl($Og>4e}^~?NXS??a!QlT4mnZY)wh*waMkUWxcqHZ
zj4!v}@@-lmc5#jwL{u{1r)soQOkM>ckz8MHu>2q%`$c}`*~Ea+)u#e`&6U6*YuV4j
z(MbfK*&s*x4oEhH(d9klq3r76KV(-#u!fg~xE}|IAiWWpEE!Nk4k0eGiAlOz)9S(s
z(Ao3r=DDTdG~0VNIiQodkucx)NtJ-nzmH7MTyZ=bnOtsP_nj%|Hln0pZ;hZ&w>ZrY
ziDLcw#SF231I#W(@}u0NRyf>m+^Fa)495*Y8Z0J5Oun1G_To1!@txtFFrzGhDvg(X
z9BYP{W(}dgnJaxNEp|Q2t0o?hHtN~V9Uo-+<QsH86|q2LxtU5tD;Hik^?0|<_cH~~
zxz7)|nxm>B)Yg*10sq?rX05BfGndj%+9_n2;ax<LwO1P}#%r@1l3({Q`y%7q<wi|G
zRSStwj{8Ua2$F8Ez4MK^!%fEShLtIjvI}%Sk1r9ni;omoW80Y8;oHjhrkbE2BUezr
zZl1U=wwV;<*}|;0yUDBn+ZfzE{}qhz%o3OTlzcz?HZU)~o|&s~Gsa+lan|;dX+qw%
ztX|9R1#|db{hIbFBbZyw$Hd(KNpx|R+8n!7!2EM$&-eyyBivaM8;F?wL6kHGov6K*
zLF{Gw(lDP+hZ)nq+d_VV*lIiU_rvT{;^P|)Mm|3s*J4?vMVO;R@J4H=-cxnNYlGsu
zCJ{7vyKz<oH4hUfg{qS1rtgU#*8DBe|ENeLjea|3KSY!@Py3he{78gNNW`68=|QYQ
zgVrIEgT#inbh*-$HbPlygZUf_6&_9kGvP)9MCI!ZIXo{rh-D}1bKQ}KFgHy-QJ&RL
zP!l(viJIspHhh0DuCU_&Z*`@q(X0E3Cl~ZG8%6tw`eBRjSy>dMd8ag9(&;AzR`Ko^
zH}5Cnjk7)0>QQiCU(w#fzMlxP`tf(e@j)WV*5H<0hyh;58*|2|_Y=m`GnR*54ig1z
zwpX4O=%ewa!`)kQ14KyJCh0`-7-8OL7`e8CjN?DYD5LKOi0r~I;hI$wgznMa;s>H+
z&~wF)hCdu6_81s#4zQRaCd7LaKD+3l|8_x-ZOss2$x05HF8N7lh=}dTOVUL@+og$0
zjuFDft9pBr%`|cAM6SPJhYlPw8gA+YjS|~fjG62+zll=!j9d<F9fVeHcoZN%PPn`1
z{`uHAOKd1fb_qMH4RJ}`Dc!jVVz71c`sc=Z;z45ZmkXb@@M$9Q@M_K}B5pAJ`_jT9
z(bcZfB}&&q4_-K0l7A8}e%grN-u{Q^by7ZHmA=B|rtPDz1Ah^(i~NFeX8#efl82(@
z*)-88RX-QsJ52=m-2a{L#|p>v0nyLLG;qIyWj6D~3~~Qb+LYr08_WfNEoTg=!~CJs
zT`z+<qNM(&8~Z~JoV0i0ez02|*35rfN~ISF-m=vCv1Be>7zh<PI7kBLC&uex+7c1q
z(x?`8ha0M<c|44xB>WgOecO2P55YTPmzg`kizN5eFP^iKpg66c@`;B9p2u49vJMNt
zf@3x}`kERhZ*Hi*cZ?N8LWO9elrVf;$MY^&tAV1H^)2@g8~841Z!5|aL0){~vGOrh
zT)5)bYO%5(Y5To}KHC)!arms~yTZFr@l@y4SGZ7J&WtLSlt7vmWlnX!DkAtc2KQuh
zgE_JPM!uvJBKj9S8m(2ajXSRJOfN6icYe!?w3mT(z+iJ8Nfo`#gAd+&3gDf3_9$Di
z9Hd;Xh96Q?#cR{P>S11Cq{OuBf4WW)yd?VaJ_A*>mlZj-MvLH%&c~VML}h#n?=279
zu8NBf$Buu{5rfuD!_0pQst96>K1<D4h2o5t((!3=NU$ALuli37;*p0vSf$m_lbM!o
zG9ZbHw_I%csp|Nc7+pguQ-k4<36Ce+%6=Qlreec2@zSzxUqd(vBE0OLMNV=s<&*E^
zieJeuo&gX3ICW&^x^b<kQvloif6b&)T@=>d_3v)ifR016wT`heI;-vItH;TR|F`pH
z|8cDqPk!XJ`KAgcnaRB|G8D9|I`dw1&q|*@k@?|{k{W6@xden+8N&34ae!vI9@ZXm
zcE0eC1m(QEo!hoi5mw24?ej4MX!BOj_ifZb`n;gdwtX}#)i>8RI~yWJR;X8WNfY+w
z?;bzcLPuS-u(72g4d>Zi;?Lx1BPy({s#w+tqYiZfztxT4wEih)n7uAa<h(7s?ij&r
z>zxnOohEPzKcgA<Sr44EzRu@Hj6hq8NNIU(hJfR~3(hwBcyfGO$;@XX?9R9()40|W
ziyym_H=Q@Y*M}mxc|Jx6o1J)Qy3(_@X6%w2wWh#O+eu~11v=iGlM56r0F+MmwN9`2
z@^EBQ(SB<h{xoN@q<&)HblJMt-dYNj9plAjG7RyL%fN5C+Xf{gPV-?eDY#eq__C9u
z0g`S=R`)P%(UF&})DcU;!5?husy}ql(4YMA%K<wWL^16HNEEzkO3BG^)j)!-J)zuf
zhl6*rFW!?kK!bdB(ZGEbxE%fZfh4mUX*Fky!>*GNJ3ZXuy-yYc$7AXC3afFwV8ea;
zFS<}O)29ZDi9&J9$9&FTb|B5Sk;b~UK@uqs6#*xdxbBX%-LQl3v0$fFuU0q_XQw^!
zWQtItUNu=VutRc;cjo=e>Zome_PX@+N2cLo*arV1TSy0*^qqEB!~XyP0RR6Cmv=PQ
ze-y{<z4y)@j|b25*z>tIMaVBD3MG-EP=pXN8fK-ENJ40c5Y_i)S42fyMN6pcJ%0ZE
zoO?d!-gECcuh(0Co*`<B-z*VwG{Rd(${Jp+-Kd&SQGg^BqVSIZ6Lz!OkjfIRV7Fm<
z{$VaTuqq54ZggPB9{g}oY{U}AD<p47E=oc`gGa;_ac(?WxWkA2KT9Y-_0phQMGS&Y
zzO2l9#EaKVrmR0S18n1#dKz<12xQ!5fBiVhkK3ava;FUe?#0jB2jud>*4Q^YTg(LT
zZ1!|6Lm(YoclIToI>P~L?d~TeqXqDH!`eQ_5DR$Raf0KSATxCR)f3&2Du7!KAD9nJ
zG>0dD&y}~EEYt67c*)2TA%GP9E%Dc`n?c?3qviXXr|9K|Mk)i&0$91@aURP{Q?O*&
zNM5@5lg>T4)+@L{02Qg68Rt1o;gRsYuN-l`^fmv3$8*2%qka2tGan}t*nM``X7oTa
zaVOPKy6g-;`i|Q6CtNg!G`Go<W%6H%<)%O}1{Z#m*b?HY_s0mTYuw$eVn&F3aWC4C
z7C$cWyUg@D8i6w9Tw%lS2}0XWX|zF`AGPl+c0Idg2*ccU#jR?ygu?#)ohe)SF^J*r
zo@xn0D0WO}ZRK1f5;)3PEN}2*Z%U@G)+qz1+aSI@u4skud$LJ_S3m%%#iG<zMgs_v
zczpBGaRwaDzpM6Tj{qJmWPCRluMf+zoXzPXOxSw#tjm)Z0=V{fqbMVbK5(5YiL%IN
z#>E2nNLx2S+*M|?BAB5EnXgJC#>H7N*RGm<YE%$y1V6Cp%IQJz-INc;S!{TSbEBJE
zp%B_zdt}Ad>cXYoXO(uG99Z$Y;>zD(VeG0r(l6$w3sOzWY=fzssM&bQ%zujr?%pZx
zVlqvGMAPjLVg<M{PBi=DHg{1plqnCVT&00*qbypM@!-lk7rE$AF`NoK_ToPm8njIr
z>5IDZVHQ_-USgRzHg(MI7UQ6S#cffVE4u*JwT_IaFH4~4M8f8UPAWthoP0)_5<uq<
zKfXzYNa3iv)WwTAR1i8pDQ5gf5U<(ms{C7#M%l?2@$$V?s7Tr|usSP*v8ACbB2}{Z
zjzwtetQ8f4E-Ty}5){EB?z6m&Q5#V0yS{OVCKU$mYhKi#i{j(0La#qn%i{q7{Vfvm
zRERED@*j^E!`zb%MaFdsC|LV*ue2f+OuXit6#K;yC?CJ|bt+<ARMuD%jS3tqM+*<o
zC6PyBE~;`^3CA;7<~`l1@Z9gBq7EU2X)Z})W+EyW{yBW?z)31FpLSyn`cDSMt#8;L
za#Y233vTz=XH+oK%&{(BmBsUdrM8hL)sXQb&WI?}V3P#idiihzes<T3s%}+B!BW0`
z4{~YnyY?e@QM){9+Gkd0Gm)^q)mO1wN*8(}Z@sHs@4GWihArJ#6SY~d79DHUg?$N9
zdH<>uaZ1ggb7?mjdwmS#&xY&4`@)EGB4tWA%;NFQHc|_dBg9U*+v$VK5uMcS#macZ
z{=nV7gWAZdPJX|iW&pe#Y6G76D(KF{8SHJYgNBp64d)FEfn(!!SA`5!T+-VSr2R<;
z)pPG(%5pUVxh>@F<fCeM-(}L%Q=WoXvLyKb#TtW`Q9)nQW_8pGzE;LarQjXDh9r)9
z6Huuvulp*ffq}M<+g)WS$fEV5d1>AhMs(LCzcgxKgKxzh140M&vKN2#n3_XlCgrq+
z4GF)u{BzqlrHyq%hYIT=Eua#F8OS$D=r5#pps!yGrQ`PKg_h9adEbMc%pWA|y5LUA
z3MON7+d0u8Z-7mYpJ;5KC85+CpS6XDB>chYUBvwkpl|U>b^Uu1a=8lF{q0xBU^}_f
zN5B$T4L|w1W|HtxdeqmkR#l7_OyjM}wS*n67A-asBve07G8Mb5jLbP6n%cdVu+Z+)
zOODjQpTAdMF$E}M#P*_l$7d{|zwngbzdP!9eACY0D@O9zbK*La7>gC`xWYM<+@XdB
ze-v5GKnCUZE*^7QS^wYkRboYpDvoTH+*9Q$fmw$K8|A-Qg4@UYsTmb2SfuoIB)nDx
zy+>^Buryf0SvxJ!xI|^F&wAsW87YVoy}~*rahBjxz;Zm_O$n9vPA5MAUJQ+6xPQ;s
z5~Q?PzFw16#EmW`jaPg*uu|)%L(3>YW%mC3hEaLs$r4+va%4fq-u*u0Jb-~;r1Dz{
z8!#s)>tF9U1G-(D*f(bmK--^jIoLuLhaQ_-<Jo0m!=baywJmfQc;?_!C?<_zD<A*f
zjhH8V+bxa4IOve_;m^AsUP+Yq_>Xkv@C-4m)abv>$pY%-AGYbKi6d($#o(^b6jAid
zW|lwO9NK8Adk6eQ@w{c%FK3xaB8k&0^xa!C=zMFg{jozB_sT4~988@cOq}oT&s8vk
zr6g~=gRVjtBe_>TIeCIOxH&;*AjA|xviY}>Rs}HD*8EQW;shc6;d+w{n!u9i_}<M$
z{P=>YV|=i0l89>dn8_A30UlaJEA137a`WcQ9blX$QYCYQ{X&glHgdPmNF6r@smC7|
z37a9zJ)INtyN#f-=+kySB`(~5`~c;W^c<nOx^T^oVgzb2HjP5hIZ$AiiDk&lJkc2I
z-RYZW2xLRnw}F-Hc$5?@wr^pPcptF%?K_hp9Ddey?lQ7r`DU$^K&2HzhFw>pJInx*
zRqIoH*x9fnB1cE*@ES2;m~dI-mp&xT7Iaj_vSP;@JA+^Adtnr~#r?oXAL5Q0hNCPi
zrV;v^7EPG&afeq-(<eP(+Z1q0W0(bPd6gB4@|f|(^L%54U3!q~XFA{Yo&}%#d>+!^
zV8vYrF?;%(E({)g^WX3|3uXx`rMqXaVVxpJl5L1C4F4P%5hAl9@4otGeKH4r-rA5t
zTA@L30sBGoQ>=K)q08IkJ135;^n^aiqJhn8^Xj`?Z0PKnTPE~?8}}UN3!!MxAf-RK
zmirbPz9#>1ymN~e-&#kTm9<krvQ0|Z@-X{4V+{TnwejP?m$Qk!K~(T<AL2i^jRRjK
z4P+!U3gWgMQ6bj_sc?#YhI-zY6T7B9ZFSQZ!ef8P8EpgwWJVt!kUPtTck^TY`r?H#
z-9TWB96^C+?AK~Gf96KNLcQO=heWWU;(XW^9SYRMySF88<;7aD-YbWF#jx4zpicTX
z9k?<2{rmQ5K72>Ew6<LoM{&`H%l}2`KrVk(#>QO&`1I+22g&y&QPY{*`;43ph{l$8
zif$J~ig{0PSGqK+tA8q=daDhD`8S#KfkLRNAeWz;D2uil$4=ywYQvSPzKZ@VVXUf8
zUAkJZ0e6LeF@AVP8_YK>_kDdSg0q(*W4r#yW2t4kf#_LnSa>Sbd50{9S4xWH9pn`8
zPX1qsyb5hd@?`lST`Z2{e|&p~e3URLp4T>KSQ~WpD%79TByoSz1%ZZYWn@tG*-^Ps
z2js?$ha|p8Vf^&DOQu4qs5V9;UiImK&}w__e5nkMXRbUGj8{VsM)~DSwiKW!`Uv!=
z%c1n1y;<L<)zR>JB`5C#3RIkWC#z>Ik0%R8UmApx(2MFK@Xd}2@64k89Gn%<>$KXW
z@vtVQHkEitO;F)X*FJ}AKSlI7`82;`yB3bf&A;0BVEumnlTZJ6TnSCq8WbMZYoq1Y
z=T}&-=|ZcZg#Z*PBcqr_we*q>#yIvkMwaWr3&-Eb1)Ejy-@dC{r%zMR+SzQ6U5`GL
zyuK>?a!?ih0ymvHvPQvR|D9)=gbg82=F?%F1vRA8gkM!|p(4jNrLXy6MnLv`Un|3;
zfiF9c+_)7-MY?`E=gd!I*wfMD{AWf3SG<0^Ts}_4-~xw1mi?yCG_`T~TsH|f1e-@U
zZ=~XmiNo(5r_A8~4)c)t6PhT+HU7%t8wG1`*o$^VS%AMuUbQ<98AAu}lpVFBVDuG}
z<%EB9$YN7FSs4IQK&`((#yI!*wB<2v%(eA>CRPftWb}<}d4`Pi*lOv6<78Y8wy|Te
zvV`RiuOb(Ykuj@6cg4JvgbT%1w0G^6a5d32{-!n=uii{Ix~rg$iD6w5vlJ^}i}#H+
zuhhimInvvXC>3;m-)12jX9XU~k9BG$NqAh{e=x3D5qk%@ywY!3!Hd_53%@u?7;=^8
z#Xk{w>^~G-Ficp%`P$XpmUHSDsNVhiD7!Q+U-_b=S#Jf-Dp8zf&1$&(WbSj5xfuH0
z-N;~g!3xy>S#ACori#hoLCNCZ1<~tLqHKn*708%Kt>g--;1j0eJzIr%aGUAWs~Jfv
zm>g%=Em^9BeQ9^<e+00i)!e%ZjrF<qstS1a8Y-etnj1;-)EdEahrCi0XbFpPTd(VM
z%OhpS>z@%;v&3YKm|_r%CA4+XoOZvJ!-(GdT^85=5PI%S9YR;u^UG4A^(h@0411sF
zD9JTMC_RaIc$*49<a;dMx+#flr$h7P?z|%AQuVh~o~46-{l(%(8^w_$dgaI)<_Cnw
z3zqf+4=mussE6~cs3@v?Z_Ny3ETT8VQ0(SmbNDzY#4E=ujBTkLR<$Ng^vhRtQ$nT9
zf&CjkXr>6_fe??+Sp0;(Lz$D5=xzq$8%}ZkW#Gq=iTuIqx=-j29W6YDvrOSx@L^f8
zS#A^_q4ZzKYNS(+{#btY+5~heYHuGm=fpLyPw|;pL0_<b8%35efyT<v_K&aF&`dt`
znETxfqGHR==-D7+(7vwtZC^DD>QUal(_?BNN)@l`uskw?mdABAVtq{bm48FdRkaS{
zc$&^W4N)UFuOegIsn3YTW2#0yDKCjKy5%mzFhhtK`LF0(@fsm^%~g1!=`Arj!`;93
z+5nc)t-c<xSs^~0XqSE{_nGjF75(L5VgP}!E=DccEfN1@KWA&W4H4`-pSVPB=!0L_
z6K9s<1tNN%QNBRY52E??=OiH!efZ8_@VwS}o)F#Sn(DnYOxzt6h@+<J!I$g4jVo4j
zM75@gaG3uXK|cL#!F^R1CR%6T<;Bbro94X=Lq7i_9Jb3|_dTWy&PIoOm?viliNwMq
zV|5e6&F#^pmh&{Yw>tJT<=PC<J;s(mJu^kb$3w>VXd0Y8_n}ugWrh%~>^QY^o#TgU
z6DTH(H0Y4GAue5+A*3|Ds`U=e5$Ka%ZE%_jnf6Yn+=kZcp0dV%N?0I1J~z7hQi2L6
zn4AK9x6TstEAQs}s+Wjp`yKLZ6%=Tw;M0$po+YX>tsl>@tP-{sRF~Hl6tGR4KQsP#
zj>wT{6se~(;6}Q=`LWwN!1K8vySR3qNQwR?>z~VrI(@2N&;8Vf&ELzK8Q&}rVT}7)
zjxsQ#-LC7|qN>{9RK?WKp}a&K+F9^I>=X;G{%0Pbd{7HG&^zC_XqmY6I+Q5ZWy8T+
zHH8aJWSBP-o4M??-iP*NT@3>Vau1in7a=mJ1{{6!QIr9LEgNkVW;n4ZL|aiWOcN}E
z76e@68IfmoYaNRy4>muZDGdEUf^<WBt3&oonAhYT*5uEJf}L)YDo!Nu|CM}u<5_0R
zk7f7~zMkt<9o$`cJ2il2FTAWd&4Ttf_CGOvEr<cPJ7<_(G=O7(CS4N8hN_GDIi_yH
z$gtL@AwHxIgR=7J$vPZp@`WRiJRyR%mpuJWC#u6h0dxFk&UL@CZ%%u5Ukra+l;-}R
zssp2NOzfHf4=zRz_YYi?K$ZD{?wJWSIFeBp5$wQ+Rc#ED$_-N3%v-fK)T#!?rJ?VC
zdkWxmmEC3YB^eC2d-&P#mKt27d@oI|6hz79AdlpO8!$lMGJAaey?sm1z_gSwwo6<r
ziQrJcyq?-KY0uQ)@8ZuPg$fZ=Cr`fc3RgrygM0Vc+125^bKjo#JH+sUjl#jwIVHTY
z(a?c6P#pxmPyDLWmcZ9NOx2&ysbHw;g!h|Cb(pf;yvnR5g_TPMQ`L@YxOG%=$?TQ}
zRI<OjnQ0?~^&d8Gz9p=IZp&&}l?5b7xfJj;CRGl}3#pm^{;ubeGqnfTo@v5AnpjtS
zq&zkV%l5qLC*zx|9u4khTJZX>LvH3n1sv$HyOx96n5~uVcxzr8wwUO}kp-2|_`vAr
zm@O0>|9x?ao<xBd8J~>OFl98`qY=VwN=4u2I~<elQz4LL-(%{43U2JF<d+tr;W+V>
zUMHdpL~dK}qfKhq+DLj6^@4`Qf9o246zPGn^3tXE_3Bt*^62cqUS0e^?r&z_ZUCHn
z7_U}Hl8`Aezcrv+7kTeRJPOq}f<FOkJj{Wb*k>@v;=ZVh4DW2Jy{RT}TU)WK@FE#2
zgzAWuAzj=yr}P)W4E*iucAYQM!fl0}H#rh?5kAa%`fs&>?CVkI$0D?m<0CclY&Q)j
zzut4P&;eMvCoHs&TL(A3mN8Q7qGH&y;kY4XOQ^QY*yQP@gC+K_cZZ*#AS-vm&l5~m
z;H9@II&PN^hSYkS#E)xXbN<rIk97|Iq|{8`5Y)jHN=uD#JPAKNb~}{kVGSb68#<(q
zXyel9FiGv#s@UeeWqV4qH3(4`_col-!tzJy(yc;DxOi0B+lR>pyaP^Y=K7G)^pEkL
z?lw8(sQ)q&FKz?3TP~;g&yn!O_X`dOI>hlsi_t_Ds|~PlY5U#t(LfKX{;NoDK`i_U
ze&1eNL;tpGFMpM&;iG@MuLnA_<2}Cp1~rM+aB?8HBl5KhW+)ick-jVv2A*Yn5pvd`
znMwPgxPF%`gf^^Q`cCk0rk{mME2w$xHh54<5h)STd<8F`(wSDzr$uR70sPuo<76j~
zx8xq|%o-l03uws-W>l?n_Jx4(0<$cp*t{}bq0Z7Rg)5INs9VBnkH~G#Qb`OX5+^S^
zEz>vdkL`9?_n8vsqJ3r2VptY4uPx}p06Kw0K3#R)bHe`pdXplI$s%HmD~}kVc|*MI
zqB|YpJoKWd-2(W2yPw;qOH9DV$eV5JZvh|I*7Pf`@L=Y`U8Sci%&_o!O6$*Yb7(o8
zaH3F%10R)a?w*xqhJ4l+vuj0Wkn>TZfMK2)>uKkh2j-YSdtgVcS+^;CJ&^UF-;M$O
z)N;1vS1~~+!`CidCR6Aa+S<DEZ-Mybwss+EBNMD>nNfY{CQw)tSg@IWny@_gmM{1-
zBixUUjiV(SgQC?T&!m(;#D?%wzY4+_K|w`9U!~UwguPa7-c<cg{H^wx8slRGqs?zh
z8x)P;;eMwGm4df~PO$%d_XiB%abxFLbc`X?eo0S_j(I`^^h{=NKFR<>f&;(UKNx_C
zmiN|3+C927OUfQ?M+T6%d0Uv%!T@4hRMj>__tG<11orsoF~H9To>ILseaM%tQPHD+
zqzi2{x>;h(03##k1Dr(lfmHUj%s6F;?lmn?>9~UdLZ@BAWYY9N=!9kTHuhh1A7fR)
zO?eDpcd}48dQBIujLB$a8;;Ve8}`$pCK#Y6x2DA^Mi-=Xy?fqi{G(g-MefQ7VuZ+U
zKVPpU8dy~GWp+nS(6uAP8C@8dATw<G@|}1ZJl<FQF~Vtzo*g`zl3m9Hk|)}Ws2nty
z4qd(HE;U1MH@^4O?JP40M}1j-e~t<ku?aalhG*$2u5}enCs|<4XK!_x3Kb|PrUUpN
z&C@NUqxR@sV}(3!)3l;S3LK&?d0xM|NEhk!p7R@IgIC;Y`7hlmFe$3v!=AfL=Q?vu
zgzCTnvYNr9q9GlKuVUWCRJ2O}dvE)N_is6&FoxGJLUldw%**r^?qvY~%D+v6Iou!|
zm^E@JTpJRT{5@%B8G-R`F1LIvFC3>q!s=5kD3f?{E%PZ8gs_#}Yr4P>%se4F*GO96
z5TLPkNtOkI5_Qu=rv#vl<yh_Vc`~%+S!LLsVTCG9h8b}~Ay76Ey7Zoh443*sd<!Jl
zfx7#XL*ON0IDLMThGv!~&|3~}?P%kGSM^mVRb@os_P{1LF$GQV@Y&|dmd6EeRV9z6
zJ`sZl?oSUbAPEAtr+PPL^1ub6N$crp3Ao8*qJHEs2@Xvg>F=uHgSqG~ai!x@u(4!S
z_^2KU)KA`hh=~H=+VFha-8>nnjazo5^N?WWg4UKVt%9(vO^?BSKo0CZ$`g((X@K}8
z?C)0)hTgUB)Q&QF@U|E4(qJV)$3xi(zkCrW3oNm(oKt|YX*tR7WD*oFrZy|<iUH%w
z>VcqLN^s|ryIJK?5`5X;l$tRj4lzkdZD}8s!A!U$i1QZ-q&MEvXl<5+A1yDU`VXqY
z<=gwBxRNyCaCv0m@rTlIDE-7m4PkY#JN6kVu4IUL*=qRdtt_x!8hxp??iquUi{ak?
zX+ix15R&1N2d@^6`@(6O(ETJKr0Bdh=#!6MnKV>@H%2#iIXh`Vz*EP=YdjQqW@r9=
zE?g0q{C;h4<k5k@je>m1QxupkCpbr%l;D9(d1=8e3M70@bgpEeL2+TH|79K(_)(W-
z#H2w5(*S46l)f%h>@pvI?xzZ`K36kdAD}`jLyXFeTs_F&*4Zvurv~m#FVzRaX%Lgm
zBf3|@0ED8YCdZgGV2iGI*Wn==lw=hI5oicT_w&WmVBNEJrK$<Y>q3K3^_%t-V<@se
z-a-w~gh!8^%7v75;So!o<~u)AC`@s`m$;t{2_=so`TwH9m!FM03+&9{R9#2r2Wu^G
zspaWBwwDIU7wW?T)aa0rX1jB4SPKq4JQ74HphC=~dU#kgKx@cWtr9nF2s)yudnB6z
ze;m`4i(M?Cu?@WrL~6s?)$>)8IoeQfc7~~$+X`G~eruX~Xv2|1r2n22X+nPdk6nk#
zt>9YFi-{LwTHy2ZrOwlJ@A=nd@r+%;8iFG3_m8goNaXxfupqYzT)aMYk|W$2^j{xv
zx7kF7+0)W%I^_zWTK?g#$yIAOaq?K8)CNtMphlDH9?C$`=eLa~ORV9XkYIB86Achp
zxScARAqG>4TUyi8t--dbB{|4k9T@JLNKB0gKuYVxs?e5o-dztZ_AF3^VCRc<f$!KM
z+|g?(k$IiVTSLt3$CTmIrshOS<SM<y>Aktbbt|xP^!#M4rvz8IZtEE{jnlvGc9M@U
zSkKFnyw&D$3efOXfb-t7UV0?c^Fv3TSi*gAxxVD<8$hP*r2db_K4M&<S8vwd67(3N
z#=C=LAf?mek4(=naZ=>;NPic=w89nNOWP$O%Pi%`{gw%$W&6NY!z}<4fnB$c9u<QK
z1>5g#nKQ&+1Ixb#HFUTy%jlfdAq<5{XSQ7tnkOVoQ`;6gETBYf*o|$oAhiE}mFAtf
zKp1g%dJldx2d9Os@jMYe5bJNsxk_Io4rsVj64=e5^<01o(;O$*>Wm6)*}6y^yP3hg
zMl*xYo_{W<(Aj{_Q-3*eae>fRp5(O*Fa<%jowg&xOpwT2rT)ilff$!69$YOlffn~M
zk6-WC==J)2{_T<T#0I|vpASRE;QiNT@^bnj-NR4RH8*jNc&%D0d_dC}%30j+R=k>_
zk6P>=XGoqU=%2i}ouZ9k7l+@ud!-X}QQp$PJLxmTx80f~@g76qP>ARd|2Il6e<r(g
zq+psT*0ARe(=dbs0^ZH?p+D$1SXm{UI;V)kiwUM&=>{OPhDD0|zR<5Y4#;len<8p{
zzW2ZIM<3*JlCG#a^wUcey(l%|lf;pS^Y8mT^a0Q8E>kJ*q^~t!4d-5(AU^F~?#^u0
zgKO*sHLsJa=}wl1n?`R;5K+RR!8rzcz^7i5N4<Z8h?rZGwmvdJ5G&h8s;hKib?n;U
z4RSNV#yR>tJ7|K)RMctcP}PMpSAoLu#%|*9XKNdYqzNMa_lc(J5*kE2607f0?<1P8
zN&BumnIKXWUF+RcX>cC67CnXD6Mv_U@*Py2B>uQmyf{-yg^EKiUTxI_#LMJEi+Ar%
z68{D0s%_GvLXF-`wiDkV5keC8weg!GN+bR&k3<Tj*0eI%>wY6DR_&#}8%-0-0=<1}
zE)-Ch*&6lR^#>7sWbQ@2(F}3NI^bAYn-08{`*`?f=r3aLu<>%Q-z*U$6v)#xp$+X!
zAKu2~{U)k^zesbcn<FfuE=q1!)`q7qOIT-mMhSk-+FjO03q*e8RxPugT2NKi;IdEt
zFToo4BX-xwA`$g{%_{T?864QFgc%&h37frp-Zb|t6KNKz+5ZML!T-9#@<h%AAvGsY
zmmFIqs`e{nv}kF9!;`(?CDW6Hok4)(^J@%<66*R(@gyi>zr3mQ&@?f`VJMdPhY<(f
z8C<A-rvV$%`g17Uv&4OwyW75dF=Nl2mPdR>8bBWAZus0WN4R;qC(r+5!A~p_EE}(?
z!^aOY{(O}S#F)d42ANxInDk)J+bV8#SRAEsSw2`I3e^3%xbryh>^qY9g#<My?lx0%
zoLeD2*&p3EP|by96KAC3R#aiI@4y+7J_EJ}r{@bW@nTK%LdsI2Dr~t`b7%Q9BYrK;
z{CDyUKdzoxW_c>83LZgE7-gB6QOeQP%~Dek#ja<{bXBN;EYA(krv)sivm7h)=AIB1
zgpug7E-Juk<`Ng@!-l4gEXoYNBKSW50096043~F2)qNO-?M+rX_BzJlIL@*6@3D#y
zQBn3PS;b3ADAGc9Au}SRC<>ADC5b|cNF;@fO0u`tzt6wV=f1D|dLm3U;GvO$COXrf
zYZff%LsQP?4|M?)>*Ql=LdAo4NbWW5Q*5Z)loZ~ei9-d#RUIXXcvy5B`E~vo2U;Bb
z=+x~agc{y{ii|&t2dQ5=nF_jl(5EfCBi5ZFsQ%KQ`Px%>NTqXEIJeD>zDZcq8+ePO
z7O{ot&@eo_8VmM#afuf_(5KleEG&sM#RfkY7vZ6YFu>I)&5y=^d%n*okV2V??<_vd
z;i1<csT%#>i#Wp)Wp5kf(K2N;QP)cb_6X!=j12EXX%BfNzSGO1`22q1S$bJ0?d{+h
zToObj4+3b8jLIPfJsaH1epz6Zn;ZG3C4w@~v)D%V6A-_I*%O0tIbi$srr=SD82a5?
zR&4k~5xE{za(t{tfFH?kwoURSQ1!NlsNa?nqIDb>sqRsLAcQ|*yCaF-OdKR-?I9!Y
zemVbbM1)EX%Y)@X(y04u<FN@*3d&{r=wHXF46NzZ3yuqTbWPkfjaEtp*#%9092g-(
z;ec_!_+?pC)?F1E&#Q{EI!A(vd{rP>)09t&R~}u-IS_PeToqmV%JC^xK@G^xwJBfj
z5s)11nhRIF8Y=oD@yb<11J>6?rFLW#(b9pG*9vQDNL;tnB~V8THZ2OOa?^-Nx9<;k
zs-!wPn@cC7c2NgTaIk9nk0>GjDc7Vst7=F|^L_Mej~?WeJFqyck<f{^SF|%i)eys3
zuE;?G2BYrgCPxR9Q5b_`)9rLs^g4K7#I-sAuJ~9siUt|^1zzfmu~$LPgB*#B?S?>P
z%H}z2Pe%PEJlIql8Qr1;XP>Dv0{V)=i5d$sN;&k*_t=;c`W1y!HMndH`OO0*jJ#w-
zlYf3+-T(o`zjeJGf-?b`>_>(M$CS~@)H#RNOc@lfM7Ql0X#&Yz3WDrvB*cII@A<i-
zlE}n%hi>$-2^>1E#j5{?h(z$F_uhpFA>aHX>bNQspvrR>g@`Dk$1mwkv0h$Oa41cz
z?V1Ucui&mQ8WB(%x$3?AA~VAKb%mMfn85S;PHNYFIb^QWa^bP?Ds`t(n6BufG32=U
z4wAHGkWaSL!Xd1Odi4Th$9;Qa7;e8qXCy0)s$~CJyA@4g$-Q!~EqaU~<H79qVL?gc
zJd$<igXJ3b%~wy}-^d7X3;b7=HN_B}mKEpM0$T7nn7*9))DZNi@}-@3b9M1dZUeJ5
zBdA2}u=C>$q2)hZn0t=^y0*<Z^nHpM?#PntRk8qZglX~NP(E}kG|ao9h!w(pu9w^K
z0Zcr=jk`E;BgRV_JByWU@c1vCi=Qk8!Cd1TE3EA3hwan*lbY=CHlE&9SH%E27K7t*
zzcL~>8c~mYS9Uo3I3bDVpguf2^B>HTXwj{MnVce~?4TI@BMAcZfam5yAouJVRqC|F
z`L8tW(7z}!aWGpKX7A_Cs5s73_g%fGlUl+C97^nU4!t^1>e|@$Qf89+`tC|=w<#O^
zd$-eck6#D!+Up$+nER=d7H<V!&alG60K+|}U9{oy^;4af6GEu_hE4u9=CQ(m0%A%G
zRa%fJ+C}dw(Tgc<u+skXVFd->b&U}gEogKIQnax8ffe^0N~t@<3a>q?)6e^8f=o@$
z_zlVoCM9lmQQ!zGET6Qb_;zbR;ROD=K;;}ZRR7VAIf4}kj6qAzIvS8G{rA1>+5*<n
z*jU-#&I;co&?a|<I$YzfmGWj>!Cr?xN#fIEgRjq0dTpfDq3eQa3Gw?H7I6~)!D4_7
z28=p?t>vr1`5Sq!KV)uVQO!rKOS0La!OhEKSyBy__j8#))7-&gS_5Pb#BqRQ;{!?k
zGF9;P@OM-irvW6)XLkHPCp;W?@cN*x3dCo2019-FD#sZj@rw)U?KHDm-l%~2?Ma`U
zV0z%fT^6Ayb3=kc>V2ZC3MjSzVUBKQ010RJ<A>>ZK*EkLQfrd}X8J0!e}$M}oR?hc
z_J;?^x{oD9^C=Kjdg4k=3^TNgnaz;rc|kRJYgEFF0*69%?L#+NKq(^a)fXOq2;p0y
z%U&Tvvq5QPO*|WvdpZ&mtoDMnfcev<M`R%DMc{{2IY1yv6UCGWz=OWm##Me~7`w2T
zrn|}sAl-F_UJM5&GbzpP6f*p~my@t}cn`2tu?t&26NHylR|CR!lwtXlaKyoX+&~yO
zbv`XX7%mAOw-u^XhTOmdMyHs0frb5k!oUGh@O_$L5&xeuh%|c&3{&`E+aUe(4-;`H
zwea(sJEROPpB&P;g83n-=ebPMQweamacZN%SQ-8vR8`;Ku@|H~I(9VrBq5X(?p}37
z8NLlFITdK_gPDDkezeTeFyZjI?t82<Y<$kDqG`qfVN{}+=O7+9AA1c~4=96#c%t!^
zhY*}BJ(94LEdy){d+wc<CqrY8?w&R=5qKWmuOGcG3)2r@*zkpu!9Uvl3iF~UT#KqR
zc;F!qB5_htLqEtMB^!-v|1J)kQ<1dRJp`Ec9e?=Rivs%<2g)TDBp^NEV-3+j5me8N
zSH7TCfhcC9$`d=1phhD0<`omcrT-&#vOxuG#(ZP%@kv8+YjH)!wi1{JcrLT0slsM$
z*+*w3Jlq$z|92NthMHT~mo0Cq0ZHui70g@)BBCBU{U(uNvpo6rVy-$A%ZiRsJY|97
z_EXln5;BMstnWN}uK~h&q?qI9<X}oXerJw`0-W4Ud)tMzz<1<kw|JyH{MDypbJnCl
z$MuZAv{Bl?V|1Bf6GVU=w;yHdCKPznE?($2x7!2%zF#-DQ~={{iLr7i3JeYn8T<O}
z_Q}U%BPPs>u(Fxh9{8RN3R!kpQxp2I_<$T<nXL#qGubv;=41%yO6h)a6a#DRFQuvU
zM9?Z_HMWsbhNLFnF+m4_M5AIg8XY2h5B@^4cvK0FbXp%dy9AKl+kPiZmk8};{(%$P
ziV$?Hv05R@5K>xAS2dW3kVb8zXZ<D*_T>>AVY7yCAo5DE|6N6pDxIA3I4%n;{14w&
z8ykU^phz#at^h|CblIYtq`|jo2xUhY!DHK@mZt;-s4l)W*D5Uu9t)N)EV7JXs!8m)
zBZ&Y3S$-@z+M=-52NhD;yIjy3@Tc1&4`=sZ&<_g10kijpZfvX(_?|M+Q0bKgukL;E
zCA+yR-8ztW)4>Q<0v8inVq`#QaV@DxiW`y*dNv;k89_j(LQtR#9@L`}BAeY=K{?UC
zE4ted*yEX<FSba5yu&5E@<@94>|s6QA7%)`m$;e2+$6zCzCBw)W(zxcB!}Y)&Jebu
zSMoR*B|wOe&PPgm39~wPvCy|>w|a!W)PFlI3bwVf+s`xqU^-ouL3UOE7tY)XubC8r
z!1&Jdd&kDGKbMH^^BowlOxJ}GZ{nb0_3Ejn*g@>>O*0m!H3Nt!yKW?JD*&@JL3*A?
z-eV@BZxTN$7=Y6?GB>L!KdgRte%ZIxf_<MZ&aQOThm`c9kr@wO==ozR=YFOh`^~cM
zK9H#g=F;C5Mjmp5-i_vKr8Up7EHzJ>PyM=ZWkGFZzX2D>bl<%9s<Q!$nP0gvFQ^NL
zHgM?SId+IEPB=yz`wA<zSqilD&;d_L&H`+U1(FF*a;{!}hsmZj=8aZrL-FSHi~24m
z2q+L7Oey||J<81J%%anVDAfh_&@l%1EzIhWr}Y_=Qt~RaKcNLa(QCZ-wdvvDWv2u)
zs}YQsed@o(=b9kaVz+kT9WCIxK0NVu|ADPnU*|E$X@bu+Pv3*-G*I#L;1)yk1eSu)
z=qN{NfWd=*%SPfm7&Yx_6obJu7BkAtcV$W)=vyxSC=1@g8j;|HMc;3%HS)`vw7oj`
zEKVp%2ybF^D($Ba8qQ$>#+8$c9cnNzU=;S8X9J6n4nMGhpU1jd3o?d54R$s-5;2=~
z?B##LNe=}UF?m%i;dO&5=<7Z6v-_}yop#wbUyWPF#HXy-^K?|fHTB-{L&<AcePhHs
zR?;fw_E=fW;iU?kqm}lty19mJ@(VR;pIFDL3g!!@ja6X$;xL|2zlIg#ihkJK+r*gM
zo}aYrrhsnD5t}oj>sV+FW5avq9ZXsS&PO>>V4J^=;8e4Y<tz=1+H}ys<d^KTF|%Ya
zfJd#p5gXWB=fklH(sUpo=e6M)yL)HrXmUKaiQV(`j68Rn9yS~j&f~?%P&dMqy!YM~
zrn67^t*8_uJQ~$be-ow*-Tn9O)^BZN+?O~=ZJkUI(cn`U+(3ex+1s%l`)Ppg?q`*m
zOcuDDXl<CvOoIKHK?Vi{T9BK4Xr&*=2JQc)4aPVrL1cr_(?B^our)pL;?aE$NWLZ=
zQ}==hwwc$LdX4B|Z-#D?_iru;>*8a7B}IhG(U;N`BN;%bC`fDKDK|KBy?beUTM-_1
zgx@{)nGsS$w$fj+@xp_U)M<S_MUZ>I<F$H>8Nz4|iOF2%gG2V&cGq(i;JxqjR<#Wl
z2&a>hzPooXbhyRld#fve*B!j>pEqo9%X7}Xv`YZmPDmq*VFG;MHO~@39B|$@u=;B`
z4ur<F&&{V1;9A<u#krqcFdIHQQeP<qZBo%6JX{Ds!^ZISTRt~1Jt))391($I4I;N_
z4G5r{#O=2IlLxS#wU88TaTuZ9w{lmV077@o4x}99gI}}^?+M=}z@CWf4>a4o*Q%bf
z>g0$1nrhh<Jt-h&fuC+T0VvVk>0JQ=aAsfmA+suJSk6e--v6Ee`>mIzE|PIjGOFj5
zts?_Pj?;y1yF9pXYyEu4ULh!@Ug$0SA`2mT?xhpU3J^EM>*6LV0_j`T#jJ_)pmF`3
z+M_;2U^ug%!OTny6dq~*BOO+Nv(^6gbH9k-<n*59@j(fwe0t;R7cnAytQsG|8IyqS
zSxwN1Xi4aJJY?|quM+gQ6!M)LRfdLH>F=>^QZSdUkSo=o3^XkfvQy(^(6tb@d$JD?
z1t<O#db}V*!BB_7uU-D$NMacC3X%bKT4vj0*D27XUhMJ2Ocl!CI%d+nmxWBdCJut$
zZcZ9ps}9wx0i>$4K2?whj_~j!`R`RgH<s-Sovj8a%arKZM-t$1kfr%=O;z}PKo^g=
zv_O{ciSGR-1+b$01sgwAa3nG|wM}UQa`L`rIiUz|?43UTaZ`mpiBYe>-QKeZ91L-r
zBtq3;kN7t{st|L}W>fo}KKQ(!n)vWS31}I#oI5V4KuObyEXz6!w$0xpiX0=sPQJmL
zr<oKu8Czml+y;<&y19w|2?<Pv8qQY+li|dl7uj7ohR}4yCfNEl2^u>-3jB~DfqhlR
z(84hzuop0_4M-wEJ{ReL+m-_Gb{*sDnl*x|zuFsLxkzwFG0RW=t{jAs<vwz_8H3%6
zs6pHPN}$`GWmqYQhg%x7*I$(yL&x}p%9UL%XKg$edzC8zc9DJKejUc}_>pJDlimNT
z^bS2`j}wA_2QnPXT8%*%^~r2U6QHM@3EynP51%8+Ssi)C&{*?~FK0>)elyIO37_JG
zsf3s<8E0d-ANe_sRYMkh2n-tCN%SD<vV7zUqcH>#TiIPg@w;9)h+nf`#s;R<ByQvy
zLCNW;O=^`C$W?WIHT^t_HH}hZ?G=omES+nH>7NAPjJz|>Mzv9|ryS2eQe_CLCjXu0
zy(k8(r-^=fI+IlY<Zqm8s=NGsUVlqeOBi0<a1xI*pQrw&Cn_jC10Zs(aUw|^%)I@t
z`nt>twQ5t?v|0;5a9?lTd;PtT`qAe5mCNf?ZT?>#qmdX~{mX$hC-K788=50p_cy7z
zfg$UGDF(2k{CJ*CkQ=Ofo4lJpZc&A9NiVKc=tEPn9UoUUJGhqx6P}xHQ&|(NkM{3+
zy`S9I?7VztU=Yyz#829$UhB=nn74GHvq&~kbb%gbN)1?^*KAQ6f_Sf6Qgq={Wd5_H
z2Q={b*1jl?jZNxosTE~^fDUw5T<O&D-@q)*bN8@_Y*Gt0YdvGDwBdHb9^wzuGL~k&
z_?1R!gL-Wv*ePvY3&_3XFZ4J5VM`hD8(9YHR7d5^e{>dFyMFZTtm=mu><Ip`ajNqg
zHBdg}v+q4kIA_`uuyJJ!yKrh~BPwl`Dy*{p%zsM*d@6Es?%=*)?ca1)11DFg1~=X|
z*0^YZ_EKh<y+Ie|&Fc2$oXZMTYrNKHtyLXfSPj+VOP^q2{$_0Qo6A%?9kZ9~%IYve
z+DX3C`;_Wh?G?A!vP>;Wn6QZ6^|cxE;4?}+9n{u~`is#u%hZ-8Ns=?48f0>XPF^_H
zM^$LUCjWd`rXs67d%WXS!M3ASx<q=2DmWg*$0V{st*EBjhBB+d0xicNTiqyCc|mSC
zG;M`yBrWNA=DG@;>grc~UNJ^3@|Sb`rL{`^mzIOqW>?wWS0*j)kw2-U?8si7bB!w2
zCY0KkN&(`J`sN6YX=?gve~Kf|I<<1ECu&lZ0^hbH8!wOjqI$3hCO_T3L2cHby7;hy
z3>%~GtOS#0saC&57Jfb6q_XUIj&2!{K@Yd+S$uDfI__;QgSXtKCYiL4SC%P5bU1VO
zJBE2`thXgc7&i^dcw6ilIK0cpvZFGop$pWf;-&9NI9jCm!aiPCV7EUplQI9*Me1!X
zCvO&v4wb227Lm1A0?hji{#D8{HSqKwOOfmJh;h^gndK8<eB-Y5w&^PMn*a6Wo_Pj@
zyEr%aZdMUyx<2k?3a(RA9N034W0{bna|oI=RfHREVj4<3o75W@X&zbv3%cZaH)!&{
z0<bm3e~6}RQyb(**JI_`&{FA>9z_lX_{na4?;S>iI4?&o8XIz;q@Uq8lp_d$DBe}a
zFVmtBA<nR(L@v~0AyOW{BoChQ&O#br=@5OnnQB5DH!5d1BD-~79`-er)jAw!K(c2J
z&es0sL46??!H-!UZs|~XW>y#xyVqQV*I7QK^_5NJ?>#xt8<*hO-^h$yx$ZNX;`XAP
zRK?g~b2+Fhtry!WV?|PF)eqz*1<;r?j-``E4*ov6DbU->j(k+4GN-=b&?nBQh>~_$
zFc^{aXyE2TSxO9<u8hK{Gq`W$Ns%ldv4or{Gj4Q}`y=Q66Qan7<waP2x-8h$ES-`m
z;X$YR`pfygi=*mf`^md`vLN;0_kxNPA9_0WB6-qE64{QlT|E9;7M>GSf5}k!k@~tF
z+th0*luSF{D$gkg5^NSuOHl$yS5N15tpgrag}-lJ50?X(digXrPaM*lrqAeMltpH8
zV;TYc@}Q!ArM5Fb2&oR&9eMdq4%t|4KX2dlq)NTX5?sCr`lhFHxa$D{(V}}L^J4@c
zq^lHquZSW1PFz>hZAFB8V<TuOuLzg98>gpVNFevtZEn{jC6u{QMSre_2>dc)2L(B#
z(5jo3wOoQS8qRXonBV0}ua5n^ZGbd7CC_1a7Ln1CMJ05)k%6h!C8%%+k2W<<%2ZZT
zP&-L6(f<Jj6kRwd!?v=h<icQ$YP<?kcD~8(EvgFcucD%YyX4U4Pm3~(W~#{Lbh_M?
z7B%?WIDFK>gn&G;rTjNvRS~|Ge@QD{1AfuPif=wvKv7h0*A;y=q)fxW!+1*zSd;Kg
z-t<H?b!*=ZAs02&TATECvq%SIzr4E|qoIW4Rr#zn)zr|%=il3NI`!b3y6a4_9tpK5
z@QL!&tD?U1o^6aP29Q<4aL9m78U0+p9}zmOg381Hy>Yt%(C)U<{4`w|IiAiMKJbQu
zy8op9V7p=nt@0C9w!O-z@5jvp%qPgGe@vBQ+}#MShx8O^AZ4^PPMsk;D<Rtc<IOik
zjG=h!tLq;JW#qcL(|5Ikfc!1(6<<^sgKmq}>rZ(kB&oKnO#4;_1=bn|uW*?_@U1|^
zo1ug<@|h|=k4U1$Iw{RJMkdg3UGbdIK_YtR<ebngC4x5nW?Ewpnn3Kv4avn81!TwL
zzo(3TFAA1xO6*rK0VdIqR#Pqla;eZF&5LuQIl}wbGt<U^cdpg2*Oo)8bt0+rZ)uS}
z^Y7H+L}SP=So*4XSOz`wO4WK{JV*VsxG*pwZVXc+1JZBZr4dvV9sfC!OdWYw|81qn
z2-@sxVj4mv(I)rH9AV9AEN3`E+Cahx&Tpz2#wm)UhYMqIjwQ?3vhQJbjx0madS=*A
zm?DhY&$wq|+S`~agQ5Qe9z!TR=H9#|hePZ4+~0rrLJQl;m4`eN0P-<xIAw_+9r0~8
zwSP$uCdXD9cV{*z$!=*yZ1W)8Rq2!a=NN#4G7uXsi~*gBIp@L+F2pzKRq*>RBRv0B
z!0fMR0HikG#fC&y)T4dT-QpV~+-`YhS7@pavqbTOtn7?P%x&kV@E1ndnf>@~_Ou?*
zdta;YT%|!pcUszHiWniBdHC@63|;s~JfoYPzfR4J<*I15Vg!?v|EedubszyPF=z8G
zQlAYJGXzdEz+AhIktdf9)L8R>KO6L$>iR5c-YbRyVzuZ#K0m4r`me~TziEC@Tijy0
z2~rHeeZE4}`o0#dCo(seyMLfk?TZXqd+6bl@>#tHYnlKxam3~B>(qW5ZicuNdU%nq
z9eVJnCX5?X(sK`YV&m;n;@!UVuw)?O+xJ`p3TzT(U#1LUlghu+CtT<u-Xz|7PE-Rf
z<uaEs4UJ(2KM!>Aou!AVkc5Z!aq5tmVKv*}J&mDgf&*&-Jv^}_{_WXN1GR7?@8RfK
zOk!c}Hs2gQq<Zm)k%HBr(1cM{spua@PWVAJc4vV7_`yPpKdLa2&>pBXzJL|q4K7Js
zWPpNCEpB@PR6(r1sr3=(GN!}Lcl2jDBM8PAvibZ|0h?FNa+UI{*zeDY`G>ADfpYlQ
zCd+UYD4bxei`QSrCTEh*{fT7;a*M`XBeM#46%PAx9ofVTnO5rdJ!FBB`(n3H76o=<
z>~rJ(+s3|Fsq;Fnv4YlfnqVI?1r8m~io9@`20ZT`JA5^W9U4-Q*!y>6cscQ@AuNOz
z^q)MtRJNBBz7x+^3;L5Gs-HN&T1*G_6Cs0AQ(TZnoYc6$Lx$0Io^bp$JshtO{_r-G
z8?>(aA9Xmd4FB0^R^kj9p>II6|6B?Wc=^On&<v8GR(sZOzKRL-R_ys6we!Nu=~oI5
zO-W!weQngMyX&`oG@{a?{Lo_ISYtp{f|>QZx<AKR!RWx3wvyz%!1;D3^TX~gXHn<w
z@Tg>mCWG@|_R8#oZ#w<^E58z9|NKDutvpWHIXs?dJB))jH<kq5t`cF7>)-p&pY4GS
znV_GlbwZGvrd#|3BSPDmW)Y!HZdkMSo;>?P1p0%7W2jt2useFPt3r(zHXCb$ua1ks
z&Az_ln~REY)?DYT+BH5<c-3F>CR+lEJ@%CAEGh2#+aXhIo*xvIe@=3Lkp#-i1F<!{
zL?GF{?9d4p0ERtzR?JG$ASL*Z#B-Pk3I`tPxQpY!PmO7TI~@;Pvlm29?eb;d<EdBo
zeh7kJM%uk8PFXl`F<M^BPzi|i&T%oV!tmNd&LJ>UZZ{9KR^FRRuxR1+ccWDles8`_
z2_h3<&*PMMfnOw$aSym-IVKJ=bO~Hx9~6M|hRa!VRx-SIVk3`nNy44by12+tA}spQ
zF48uVL7H8m_^p-{EKth0-td!vy@%k#olJoV&ZF9f0n#8)31*eW$}p(#Gsk6jA4ceK
zq&k-2A+I)F+bWR^UNQtf(IQpQJuJ0hG%W*Df`xY&H7FowndxwLObxzs6_X_8<)He0
zU13-Y1%8tyQ@Ial04@LbLY$jCG~KH3%2HGT!PeC7zi%}mNrpYZI*tGe15bY(KCJ=^
z$>)rwPHRI?el3+ZUjZUs%}4Tur~oUk!+e~GF5Hw{d%f?DB53O1Htv|JfC0X<M|@BZ
z{@CrQA38|{ui4<!#e)>^OBFsmon`>ehT)ebSe3xCj0yjVL;*I#fWKeF0ZKYd{USq^
zz(gzc%Dw|+nD05_;4%qNDi%<?RJ`lq5Bv7dSd$?4Uz*9_Zg2Z=CmP1wQ37vjZWyXj
zgp6xqDi<h5z_K23IownU3U3ujk^1DJy7<)7*JVb~nsaUHT{RJipTD_TcgVmdooXE&
zjWGz;_4hB0E5cuI(Ufz$KG%IRlH#mt3}OrA4ILv2Kz-n&9cV5NT;HsRhD?k>*7N1+
zYAFGlpApIvFABncN(<RSn#Q2y`ub?Jr9ALA*tRq5=IGax+r^`t#^8hRbmi!kg&L_m
z+KOZ@Fp<0(Q_{8Tk10n<NB7IXN_U(0T|p)wUr=$9xVY=f$&b5>Dy1PK-ulturY&p%
zcc)@V$OtOW<la5CPYV1WdJBj=|A*0NJv_g<>y^DOD~}gqC17ebF+lLsH;hYFKXL~Q
z;YW1+t=dgd00yRzoSP{aJNL`p4_yG`^kd9}+`{0d+;yeNzMpESNnLw*9Kc3e-#o|)
z2QF3A;<)B9YHf-&w_hg){{sL3|Njh^cR1Ex7{<xod++gj?fLTB-^VNxg+vKOWkmW>
zq|iX5QWS+kkxKSfdY@7X5h5X#Q3)wBGUDgobDirs=Q-zkKKFeWcRc>*Un>M}@7)RS
ztNuaLb6YUi`e6=CQhc{6cL>0@M%|!$XMWP^UKtLla+rge--PsSDLyb9F4I&@{YC3}
zH5R^E&kUmGiepU-xIydZ*BxmJziDTgZkn&`GX)LnuQrrac5s`xINCG&i?&Iz|6)*v
z35+JIbNXy$0fFHxn##a5?fFTIU+3Q$!}P%)``&vp!b0SajwSt{v>Y~vhtk5vFtWIs
zF^%*P_<<|cj50|JzBqn%(#r_M|C;s6jII%NN;Zt)OXIYZ>C;Pj#fD%&b)t@TE)!OZ
zayImLzR~_pM{Sy;H-t0vf{$*RFA_v>vSp;z7|m|!965at73yrY9x%$z5$>ifa?L-7
zX>ayKcUv?VfNSK+iJ*WPqCDZztK;sUX<XyzUL$1yznvd0o{^a*#N?v&$2bRR0vaRK
z`gna<d;82Hf^ULwrAv_@ZR(?iwm$9^nx(*a-vfo0*S`@jd?vGJOyAKmS{hfg_fx>-
z^YT;0tWn|_c@MF4>MiZa!E?rneR=?{o%suV!-U8(Cu<RV3+<+0hhe;v9_Wr1>mU9w
zL|9!~D>RdAqAAvsWNx+Tf{x(RoHpYDV&r=g&*|-tX@9kH7#+6i0xeEB`ZuMIfOL`Y
z&$i_>#r#j<;T<|~Xg-=fsIrGJysz*zpDCBd)AWdS#Z?Cua~`WgK{w&Us^~vbwVzns
zJ;K}kNgJ5C1yd?kI*B)Fb-e7xdBi2(yE__#w1JI_BV63|Euqh`=uxIoMhGeEW~41@
z!GVU(g)jE)1dDCa_M&~YL|iUSu1HD?8U*@Xty|iNMDNr@Z|A23x=3x#u+s#N>phev
zS}U>tY<IWy#pi^l18beuNey_wXD%Bn*Geq$n5jsAdr2J98Gg8}LLEe6h3?Ibwh&~c
zv`0~vEreVC^QUdoYVb|Gxb*Q_3vni-ZSR*yZ-|W82jAkg)nIRPU$0Y8EAfkzSm+_z
zN!aKZ?eU0E1+SRSLthlzh`TMk{`aT4h>88YsftZ1kk0tJiLCsF5NWYp7VdvXbY1;t
z^h!Vlx`Og=*oCzdd{`ZFYP6TQRbOEuAD|2;3i%6bncfnIWlHrw@qHldUk^PMX(GcH
zjhSuSp`Ap6>_L%pfdj<R$Txb)a%4EdRqm{Gwu|U_b-|ux?jv#OA>ICcaZ1oWvtE0v
zp_`z)@V5SF^=E=8^Eh>Sk_4t#qVi5k^bk|Eaa&1yhKVo94JMs#B)HDpcE+`^m)PIy
zT<NhsLYz40LvP%y2*t&wQ4ah1hzlcBPiz|_k~G6MJup&)&hH-VlH2-;h~w2?RbPH1
zhHqmGd$|I1Fj}*T92q1eLg;mde~%MdS)5Fc>I%?HUi_i|W{7Yu6-X*~og@}Q7hWAG
zl83y@ryua@e<7|$&ued5{7IayBeQJQl!p?<+nl+D!^DWDhQ)tJeiLD;-d888<X|yy
zsNdIOlqlbqGb+eFOK?+{{I(Ht@a=lsokPrDi5}(6t54qkA%fnI9Xr}C3knHmi*;AN
z5e0&Y)&?)<iF1c9<av3^Lcf!mO^@OaVlh>?wCmR*ksohVvw1=W=4!Sk%p^_{huPIx
z!gnqc(q+4h%cW$%xW2uqM`N0xzj3>!V0D#vS?BL#<{=HOo(x-vOTUROF2<s}Q|p9=
zcU#4lTT<}0mBrLkZI;;XsGD1tP7gv868w%6lCY$f-f(UH578H47(4IF01nz)?0<qJ
zSn`K3)%>0(Hl=usPwi)dM&)|NKY0@H?_mEDzx-b!JK0Bs;U){@_Pg2pa!Ww^P{frh
zDa*t$m-pHvPIh?rM!`Mqyf_@ryVG4k{3Cwu*zVr-oD<Fov1Ltji$i7V!KEHaI&h1p
z3`)M>fiF(^%eU@{!HIam_|oU}5bP+PIhf1`H%oSxu<Q^6$!lW6wCfCTZ~nN*+<pQ0
zAa^E!!Y2l?&u{%|%4C8F8M}i`K|(M#6IA<oLKL1XSlt|b&jRxO(S5TIML;>b3T};v
z!l9v{KV?qra5ml6!<{4!Ek2328P`Oi>*g*sMGh_qoL65S_$&#MAIFr(ti(X{?xDih
zEW7~2bKZ8JW#Fw~%j2jgVvw4>r>eD_4~DKpm2+Q{gQIpg?$sU@hXV%ib|paoyyUkY
z67W_4mY?RuF-Ii8FsYBR@q!SfYG$%<IFo?8-DYL7NfO>WtVh|S2o#*EvON;KF+Y8;
zK3|EI21Q+hC0SJ*RQSXg!^>3Q_V~r|j@_~_E3uWaqfHX#8xLJRC#nt_{?$rzjdE~r
zLhNu@feiHc68hP>nvfD@*XeOg0sdq1H*ee{2iIO+Gue`>4Z}UNeq5JHkVQJBxx6k9
zmSGy*q6<2(Tj$)#NFim2$=P;Pqfrt3%w9Y+vD1U?^`}|GMb)6gCJX#ilt7tRIcNW6
z3XExYZu_363GEpZoJFC^P%~o3Wm&5a-`rK2j(X~V^A!cj^X{skfAW%RQH247hkCEd
zmg>QEKL^u(6Lko`_V<fyFclb?qXQPL4WOzz`dAI8CTK<2`*C$sLBnrALRQcS0-u*X
zEo{(&*8l7;Rku^&o!m}_6%JEqBKAxc-qeQuUcPhPPE@$jD1Wt2kbwTdu0t<%bYS2Y
zH6Y2+01mEezw&3bfHU>J1F_jU;PmMloni|G{yniUVLf6AW>!TuYh60f6}UfhphXwB
z8){fpi>=@blu#eO(SheLPNn@kpbgd~$yRqOt>NeWgq4{j9cUdGV~dVZg9wP+=Ne%H
z8YM|jE7)})Xw{{N_(Xz#wVihgXKmo))!=At7j1YwZggt9oh<x%=lEVw$rf&NNje(#
zYC`_qeY>;fgkU{A^Vn4pTUZ@Rp-ZSz2Zf6B^6##)!WN^%Hd2=jocH`(qvW9qFWjVF
z+(?@y;9&EBkhcxYnLn$t|3C)yvJ{uFlM}So8IL}}4r?&$pmcn&A;AJ2_jn?86W-bE
zP&J@p4S^Z&hU_clVfa*$6J<LG=EmHqusmf2m%m^7#I7X^-d0<m$%^vfYXdHi={J^;
z(o-}Qn<xQ1GPBV>=>n*;GCjLZ&Jt?3D_kF%7luUBqiUs&LYVMEJ^lMB3#k1(vYuVW
z53#815+5jxHJo)k4Z{EvkK2X6oZ<rIPRgmD+#)DkQOa<4I{<lq$=Og#X801^!cnkC
z1mj7jufx&^h?KZ;BinnOxNl5~U<nez$UrKO-c54|TO%b3ME@bw22-MsIE!HUu9z9k
zax-ApEUA2QZJ0<bHE!>c7eV!`{_);^Qz(<u@Hs#6fVMaDNo&9lVNAO3cIXnHDFnP^
zTvY2Gp;eauP1{!{jMqm3V!GT+U@J$h+q~oq?L2eE?SNQeG|S4}X?x!o4n#D`a5Md-
zl`C2Vns^FhqRAs}WHbhm<l;M@jMr$?#-cXnt-|;!p(oWk$Otm|Z@C9d(j!CP?VvVC
zVI=tZTiFH;VYyn-a5aJvZT}wsmKz|9G8LMCj=C6v>bC~}iFRgeaLiKvoh^)}HB+W6
zJyeK%^51LnA}i9-UWMgu+`r=4vU7wd75;7x7yGcvj+zO#$;R77u&6l9CS}S1_HiT!
zxqRouV=3L7^j#w8k#TB`8fO4@CBp|bpK{}b4f{ow!=jj_LAZx07{Ip|H$vpCc`>-X
z>8FXD7_Ru7?eu8XhaJ#cGD6}*B`f#Sp})n@VcxA(^n^Z0I@TVLX5mNrJ!%f#{o<JO
zFwb^IOCPk$tgdgL;Kz&pE8PzUCD3G3%A&z93NS0j#uj%8;4^h8{oVyhMC;rXr&<c6
zBrtm_(FD<wzTlswsx*FnGOtpRNP(Y+Tt5a?387@G^h>2<GN|^N^WHaK3M4c>*#4_R
z824q02bc!QqW|RVn>afP?3$|FJn~os|Ax)|{!d8`g|a(%^^7;py+lo>bc$ka$`ILW
zQVs>ztIG2YC~!+Z@xYahe!BmxoS3YWN2wEMIWq_fNPQh7@060jS+N=Erb`Ow({;DI
zeJ2Gf9Tk>S+$2%Ru1UqzUlG^TYQAzsQ6NGrSKv>U6h3*HQM}!jgvSd)uL>7aAaF9_
zX4{lBI^OnsmP%5>Uw`{XZ*087i^xf<6$M!o@3s$7U?Ai6JzHnhE%jlO+kxzfURk`j
zur}~$kc^ozzviq9^kGg?QC%)s4)bJ3?DrKZ<3#Hd2Wc?_AV+g6TU*K_^k_8Fg{WYR
zO5w}0TL#b@>S0#AB#+ywO?kdctD=v7YfZK;6(s0M&H<$g*sIlZNU>fOmwQ_n#QLak
z%{<-4c%LG6#*WzKQPt3EzjyFRk|BKCT%4TENy2L7qu(8`tD!{SdnQdgBXG>>KipM9
z!i%A=rG4Ag5Zk7wa`}w`RX0aZTPvaCt)%5!gKGFBr6kR1)EI8^v7Dc6Q^LBHU-j3X
zsNqVA*Ujcy6Oa*!&;JZ$d}ROh@@lXeKG2;)>5Hb&9~@QOpG!s`hl(dZr&Y1U(f*92
zrx_^xdwpc{4>Im)s9+EQRlF;c?y+0J94?YeQ|3gJaW3z8X1}irh9^v)J2_+y$B%Iw
z(@|4K`j0m%H+v~#Bj+A@-vk0|tUg9f%PHf>y<-WR^vUR#tskn-1@J8HE$!{fMtzmx
z7k{ToIBnJ6Y_}BvNiR-Q>&d8di1PybHAVCvlyTU33P2=ru*qf*8IueBE@Y`IU;s!!
zx4+QTC!4YyfW7Xf8ttPS|6O$}Uiz6F?y}ExB3A=s+<!4^wo?g9McE4rJY@0Q6i4&?
z6M$*qslmhw5<cAfXg}kM6c)6Jtk%^6NaVZxSY1=Z<J0+?3kM`{iius(>mGoWcgSUV
zb47gJS0Q1xCW<C!znXJh0MOcLyfY(A0i9dvf9`D)#`>g)0|I^kI~;Sor|!sOR)AIO
z_HIGUE8{xcp$~BK^YhzDZ{={&kg1_kNC5YQ?Qzed1MrbP|22J87H1RFOGVT9P;A_t
z<!Ukkj>qdACe>x}_d_mYUuRylC$@Wwa1o&GrhJX5SsI&o5|iDoaO2oz;_>2nbMQLd
z(mQJ*h0FElEsVxF(T$$eCAnq>)?)i>gu5j0T&C+nW<CezLr<v2Q8O?weIKK9TpSm5
zf7A0dvg0Nj)|!+NQwS{C^1@wD4C5VkJM*is<8`xxbs;XM;Ql?}3M;!PHni&9bN#}G
zad%^Lp1m-E@O<w&gB4+XbYy1=?;sogcOjl|p_)L-p%|`1EW&u3UM@k4pB=ep8uD6-
zjDe@&gBMLx2u;65w;YOP$K6|h@E6M)Lz3;iB=MtysLe9eWGBUeZen9GA=yUY;(13<
zyh8wIeZP5Ie&@iUz1{S|Vn*;|>^GBvjR2lnbh5nO&xu24_mwW+G=y{4bK6>b`OzmN
zeD{tSE}VTia@$AR5VGwoG)S@hI7Ex6vry+j+Z&f%M($DJcK8|Ri@=ZOvbj7V8$8w=
zPt8I-D!k9@`fDe~kBSO*S|SX5I4)d6XZq3r9%zUym$CArQp}^YuU&j-JQzHhzGuUH
zN{`sdbMxcZ(GZ`(GJafd&~g)5)Q4tm)yupp{J6y4H>#2=fbsrZZLBx+q4SsW@l785
zm{cjSK+YA!{l*P>jpq8m-jzC)c8ed|ixbSZlnbG2CTs4MNeWOHnoN%`@Z;YXR0>az
zFxDlv?f!O~0$F+#lOw(Y=(+7iE-RZTu7o_fqUk|_GGlVot}y|8zAxJ6$#yZ+kqHR@
zDo%l857LrFP6*;p+k3)yio`Khly~Ubm>x7|zOl=f6T+w8A4Cg?OCoPn#P;4AJ&<!<
z6kQ$?!ujyKOlH|qXsk@%<(R4m`CK!cA|=8Yrac_YsVjrMOD-<;5qhvERAk`KRS_)t
zqmq0%SQa09byR;mqz8LDw}qcf62*5V`aidCmBX^adu&&H^&k|_6KAf8q2EBF{yiOe
zWa9{!tqszHS&iNG)fM6xMf;<2Q$_&~?d9#YI->{fEy|Z}j!NL;`da=E0*bg^7Z|Tn
zpa*XIU4)M)Ng-@H{jOkxqu;Y1ih6(01BPv0M^vMv@$&h5W^F7=ILw@RrdxsnUY}!J
zeTHQ4PIps&(k3!`iAU#og;GE_<fy86p)A&>?vS~%M8;Qp-(PHePk~7Bv_ypia_F7i
zU_C#sjKd!#CnB8mL4CTd)tM}hn}e=qQ{SlIoqny9t^s}6{XjB%Xi^@7D4$F>-&RGL
z)Ygxckp|$-7WV0GnF4+wR5Y?Y)X;@nr6XOL3g4@v$2Gzf@zS5{ao4|U*qNSZ5%_}&
zrE^z#OSMTT&^dQMEL<J+MKy1nsW$}Sy;t+OzL8KXEMr*YwK|q4UUiF0Hv$d;<IOWE
zO88+%epv5Mb&MSd>^c~24Dy=tE+16M7(dSWly_JiIqNUX2M3zK>V*4FN+lT$TiNM-
zZmZ+jocU((Folw%pMPH@DPw?EBgeRcI)0oNkY%$m1D^38Hwt5v(SOU#;Ri?6@V$~#
z%3Wo1(7o4QSpHZUTdGT#Dw9;vxBrX4$2D_E-4=2!U_cpdNxyuwLsigrMZ>)EIRX1l
zKe%SquZ*O#X^*#U=msUC?EXgl*qFrfwfI_P<VjoX`~6%Ah01p>&YuPdh#TFq`<OBs
zUtz1+3M3SA-*MdIF+l45-5H$%%6Md#*|1Bo0_xop(v|uKkaToexAz(uCtBXpX$Z>W
z($i+M89ECPe_Plsx}t=8HoLz|kC8>9;P4h+P7C03N@1P0Q$juVi@ydYq|i6R$xwSE
zzvz?pY0AWt(0j*l(q+00j-D2B4O#%uJRn($Wr`?I+-yB;FN)IKrYfWl0Akh!=NP&a
zaIm(@(5q`>o=&TWPL}}qi7V-IOvocU`zcB3ECGDaYt|UJp=;6Gw~V!{%VE6(#6>^k
z!--s5He*Ww&d2Q^M}_3jmu2YqwRIj0P9Yh6rw345<a5Z<lEwQ>6TYdsT$sYWG+ldw
z05Wl;^?Z&rx}Ef#4f@WG!XBCumE-2nu)oXc<cuV4{&(|kq!1hONlYzHI-3LY!A9#z
zcL`(<PaAq&!GdzDOO1vNW>9=<=hOEe#8686T>oGdGv5EjuvJFZ3{I@Jc!!0FqC)eq
zuQneudQk;JhT=`3EBmaCm8uB7nLkop-pGV$e=g<zH)R6xTP;mB)`alBXNV|c`NsOr
z140j7O+f!mbKdn|f;jm`-?nCi31>Q#eH3ZN@bRob<?%HEbeF#J%yTO<COs(yA9Z6;
z=Xw(mp(=m@mX{2&$CxorAZhpW4PD63vG$+~<HvZb5O?we7Oa+yY{}v^f>_rY6URP2
zWIqpdRo7T?t&BNWE71^S_jmH1b>l<Bf%&TwciB+*OI&a*gCRWPweBwY#fw4za#wfs
zu;Zio!ruqaQDOM=zk#tlUR+7t%5AL3iJ!GLNgrXM!qd@Wb(6!qI5zjfsUVdL*Q&>J
z=&l$*=q%5x_uF`J@%a{QJsBPhx}QI@P09c|;yZ1B+id8!V@)K}0bX=!kkq?Wst-@|
z{pdcp@FI5=6K&Lv5BvD_+Lvtg;q>&o=D){zaUZper^1{cGZL+rdq+38&8(8xU$RmE
zdgP>_wEzZnS6LiR*x>wB?y%GfFaG&j6Wg&{5UsU{8D1?4z;2_L@q762yBU*b^*JGY
zB|^(o__V>vA|s2bw|v;Pso>c|nlLU1%G~6=rUw^2mqKma`BB7dxBe9#QQQ*Qlj*!e
z4|E3euVu~gBbSBntVy^Snp;Jwg$wJ!^V_D@90dYsZpqjkG%b#1vH{wBW4d7ITzUU#
zfFM$}Rn2N*B$4Buxy^?LU1)f$e(SrX5C+(6ei%uTMtb4)kI7lO;8^CFTBj|Hiu+V7
zn?__XDL#{q;k+)GeN1HW)DywvL5DoqL0Ob7tUIL=qYIDN9{Epf%v(sl%hcr!KSjUS
zmAZaL7qX@p<h&xpP|uzB(QLas3Vbp0O;6K>XE*9=;_JlmXP|1VPOk#897s~*t<r@n
zb&tCKa7kh_i^f#rs3NW|WE{-cxWChU68YzGDcq*xy?SnOgS%?VUG7R7{kB8~yUt4E
zDWBK#y<B7zIoZ7}GD;6VQ?9z$6S6qZ^u1uWf-<i85RW#E=)r$GbxmG!%Hb#Sg4w#B
z3JO*(WDM@5fEbm&&ftq2)-*?X{xVj@4u0SBh0_$+!D1aTR4b1kp9zJf>#Cvl@xtNq
zYx>al`HoiVRRyFb`74$Ps-sN!E{RSj1JHVO{>8IEMLd@Gdi&l1bzD%IA*^Jm(Btg%
zDQJU_Y`H9wL8mnE%DNLZlim<&fAw4@^C+Qpj4Vgu9}RrV#=n{|X9)T}UoUIDQ$icr
zLsrFxn)vU4-!r*+BT#9%>mHFvMynt9e_poHM1w6FQAX>=(5{-+-lD3EwFg6&#Dz4m
zZ}<Wi8@DMuZo8~CQ>~1q#D&PEyBhdm+v)T4l4bz1b4=e!DyUZ7??E@Cj^WPIxjY*=
zqGz&#!WN-|itA>f7yhYXgN>Z@m?QxTF&DRNzo&xDgV_h}w5#HxL2O>Z2KSQ3HuIb<
zS3#bIdz=f0RM0I~@0N}KhAxyA5qmOJ@Sk(qwoAQajNmz+`<VvdQm!6Yv`YoA`0vcy
zBBz8FZYlPu%oec4J*m|Dk1|@6eE+GpOA#&qGWU>8EZ~W5ety(pWxSem@anU3^60iM
z@jz~`1sJ>cGB3X*<Fu!1H)EwNx_C2^st#L#`z;lg;*C6+yLfwz;foZG)%=;L4BXI*
zV_G-YRg`eSb;xULqBtft{;-X7w*bxW<HBf0LhY%7{R6=wm}euaP)oG{ksqfr$E*}F
zFSXerE=v&YN4=fB*)0GvgP*xtC?L<jmls$?`7y!HX~(f{0Li^I-j9vt(SY~UtD!eM
zxGA{c#Qar&<JVKH_EY5W5vM`CG8ZQXebcaOv<H~I{HH@yR~DoELeJ(-vf_u;81uiY
z1l;6T5VQ}G#sc%N4(8s>XeO`nWanN2crN5Hp1LTBmDTb4&U!N9-_F-b{PpG#%a@re
z(Ik#kzgC^(_nR=S*<YRDHwQ=On$iD+#E?l;kg`OhM|(MDNC-3o>HL9x{qZ80^d>+r
zhl3t>e(&irY%+z9LPHE)Lc%B;Hfpe`m=5*jD|kGmOgH?A6hEn15c?&rJCxp_L$3GR
zzSf*DfuvftvuqgxxZ=I`EaU|pwj6B8`SigUnDfuF8zpY|@SSXao@9FL9@{NyX<`g<
z54O<p-Q>eNh41Po>*+D-SfjpPo)Pe-T-pEdH7~v|C{p`$Y!fOytbIAnZUk2uo8SHt
z;>F*~Yd^Hy7;syZZ_k}bLvX1aedx2!jkoTI?Ob<b#9(Hhs;~(v7?W&6yx6!=sIjHu
z=rJbbQn@!9>$8#TZB<|H+suVWmK1d}N|~|ZwegYB0RzyCt9!&=%ZYVvyf>T}S@ER|
z+uM2%1F&sfza;C%i6uo$!P;SLcs+hcxa^QVu$E2Vx-HL%IX+&p!K>_eSPK;l59mW2
zacAs__{RP(R(8*FIZ^Yl`7xzg3PkkZ4_z?jME<WY{&?==#$7WmDk5<dpq99)awT#i
z9mh7WA2Pg1F1mT#Y{U1Se*fS;#|kHgTa6Vn$nYV>!QQL4RuAL{LU-C+=fbCS5`27G
z{HVE~5FqW=1JfV$;yc~AQOobsg!v8uJd_xCGG>z=s0d5fi<|RcyQD(yn*>3W|MjjD
z%5|Z7OaFg+lz5R=T(xWCqp^#D!*AfAE{sZ^VYPb3i(LfsOLZL)Ja|7Srd2@~BnR(I
zaE9_>RijE=;(bvRTOz#fj_W{2{^9{qJ%0R9rFfb!6i0_WniiZjI?yy}Y5ksE0984|
zI$eh)u;HXYVADk%kmmO;e!eJxU+aj_w0tRi`C^bMH&_RbJ@c;EyDW&OVTXF;Ss8Tr
zmeZW(p##VLHWTs!!gx-5JT19V7X3qNSBrM&K+5Ji@<~e(tX68JtToHw&f2Xbe7kg@
zl<c=wohXWzW3%HKhU9UTTeFreNC&!V8T|iz6+`WVk;ih@6wqpTK>PP)9mr7&$QRr#
zf&8sena-*toGBw0>c7x|Am8`W_r@gg^`jbJIxi(;nq_ft<J1KXBhmHdIB7Jwb%xTD
zPDV52e9+;q3%AQ%mlGsqv9YS0mE5I_R27E|jzL{G;<qwhy)KJ%4l3OKtg5K()A-lb
zPY)ub$O#D(a%hrhbD4vxhS3RT6%|Yr`0J!QDK#jMGxk!a;@s5n&YPRvZ8QofsHGLi
zzg57XxypfU-Wtg8HufB*>O+ptu84{zMdWxaSk7jriG)+$Ub+|qpgVYE%id}dGM?%X
zc+9Sag$Z*1WKL6I`OsK8Iadk)2LJ&7{}h*ZJk{?T#_gFMvNz`(=QzjSJ~v9CVPrH!
zl1ha(DWp<;8%R_lDoKSRRK(}DQW>R$L>ZC2vLgKa{(b(qpYgh$>wR79K|d}i-C^RS
z>WEriq6yrwj;%_J&_X`C)h6mV6ICzs$kR$q!At3v@B57ute27;apYj(Ew2;&_2Xvn
zEU2a`nU9JaD7{?|>zU|rrD>7WwtzrCdxefiRFtUlT`F;4;`$fwL)CU$!p2?A&hc6_
zOi7rYP(Go9UAJhezKK?_+c<fJ&RH5hJHgZ8=f=R(%HodKUJ|f2pvS1ckcI_G)w>G@
zw9zZHmmcT?@FCBL<U|@)eJwICCuo@eLp3!1E5K`En;&z@H0)eEQMK8Jf*R$#?8YY6
z@OHGMI%fk7qtd?G#c$QbGmFh#O3~I3+Amia_=Sp!gYVOMtkf~Xd?b6Z#2Oq-9ytuK
zs94!3bR|kw72|$h6AJxl4Tr7{yy6d_prNdjGi6Z;|Hf4@6$h<hZ>7S)+_PG^hVAlc
z-3d8Nau?)Y+hq+r_SuY(vzl1vGUrawT7~_l{LX!EtwCvkS>h3-fs7w4n}^veF-q}T
zuh$)Gh>sh8?!7@BvtBW+Gh@Y2TGH3p$k!UKS%udGtEu6uSs%BSr$YF6x6C-FqBZQC
zXQ*?}sNnjjO|F^?d?=Y+y~eZwfcj#@h__A|shYRCR)}(A%l<Pi!r=gVHsgZ9u1dIC
zoswMljU69z1g|};2@qo&|8I?o0_N&o<*mQDNCrQ8e_HSs0awuHof*FzI?5eu^msZ)
z-j#pEH0iJc=7ElNDIzks5$PT3H8Z5Hf34D4Eh}(Udi3tJu{72Ur;hAzoFW(QI_g{u
zvV{13L9L&oB(anGORI9mB-!J{6?O8p1%zHQ7`Zngf!iD775Y^s$w+fk4-*~>n7Do<
zj&ea91qLL4Jf=^Q|GhD`^>Q}{Q6fy83&gO<yvMmZXOgUm{-Ngb#0*y28^yTGi{c|%
z)G+PF6#1{H=FnCSGnoA1Y*KG1jINBgr&VjG$!i%D_S7AwVA_?;3_rR8562(6u4z9@
zzTE8;WJH?4ktg2H=f(x_V-`&(o^6gaIXe}vt!@IpL*FT!f6R}JdoK#N4$PC|i<YiY
zSB+s^j=Y81Z9e3@ekuPI+aj5=&5>q4Zv<ay7jtDwcyWqtoM%#r4YMsiRk<BBf;LK|
ziIX@lw&WUxkGinqBc^ii=WatV`aF^_kidf%%R6WJZgZenMQL@x4nq)oC|c^eh6mp}
zc#Ynj;Kb4g(iYr54B&Yc-=#H*JlK##_9Xjoqez3xjoO_C@U1rMUfuG#@!gM^dw%iY
z_S>!@@&o$7;_SC}TAuSxZ!x_#f)5X?)s_gJ(1&7)Jd;bYJeZerao~@E0Ol3vZ+yk4
z58cie?p|KvL9K1pzMFYgAZ1cndtIs?2(LVR0pob_S3$$$$J0XS8YK}sV5SHD+Z~2}
z+3{iXPmMFjxJ2;+Iy!#)t_vZImt#Ci{CM)1gNKT;7+!9!v)LM@3(f<#Zbr!ppkBwR
z3mi`3xWn|bVVRCDY)bjvy<jScvypCFz9dNC(c7`bhdNoHRwnM`7rp|y#>cHZ|Exso
zkgTZABo=%Yl|0nhCxp9-?i}(Akiyy<(G5x4SfG<ZKi7Iv1YeprpS|%<8l6RlYzcK1
z?0e6?_D_;1u4rdj6+M-~(e<;Tl7me6H~8JL>#7(QU-9I03zb9L!;>>vX-r5Ru6Uz$
zQykaj;*Zz<3Rs?cBhX|&6WIKzHZNaF;J{{ahmoU7$S1>8omkHV4uMvMGh-`}o=SIJ
z{aG1zUtz5CS;vHx9_F(CHc}XpQJPmdr-C;fW)eMpm=JbC?h++O8of&07ZUW<aObgG
z8`y6#;fFx#yDbJXI8K-xZw^z(0IBsm>nE7-wxYM%_Ny!^pX)lz|5*cdD9tezW-QnP
z8&}oG%HwzDMzT*|3k5&KNr%L;KvSsMc89+r4y*m>w7W||xtl(36c<^rH?r>K7Me2Z
z6j1a#SI}@eqVqoUye?#_6!rd~t6<(Og(cII+Gut_Yv`hu9@qz${AX&airfbWkB0oD
zV?@%k+ZDZfkdh!M=e$7;cb|Vb=4POS9+%z?b64tv{GH^Fe*WsH(3&uy9K^(P*F>{x
zNdpM<Ru7$v)Ig(Suj7MkSZEnWHOT&E2)+?!nvJ(KaVTX+bZtHhyArmYSSe}@DsOY`
z#xk`~;E}8Tem-5ism+zh?_&ZI++}d<DFvJ53cV@Dx|r+}>%35D3h(bb$(>1};ugMs
z-UH^kc;MdCs$3Iu_$OmZvIWtQzd2haM^qOdpE~bo_re0!OUD{}s%oQH^(H>{<$XEo
zgU%k(wgQ*qyqiUHv~iQy)=e?$EWFO66EKoUz~?xFP~R1FbRL&wAFbBGR|?0IuN(t#
zB&Z_~Oz6lR-xAO@M90~6SN1jwTf<Mz?_rOabi8AvzItmF4d2x;mTInBL!rdVWWF(N
zj9G7{`^}ev<$t+H8y2h~-$rz!+w!|7R9i?FeAB>sD+#avHrT+*WJaq<0}Zca?pF*Y
z)bL}%&yvYV8#u~yB>uuI72mEH0fWcNIR19K=)qey@M)V}?$v1u7QY)2>v5GwzXVgx
z=mZ<s@Z!=s(a%~K=i7Zs<AF2^+uzKpK4}AyI&G}X>zcSe)wF@)DS_>q@^!r(ZNQm-
zs8bU((4no}JDOVrPrhk(s1>jQo-_JB%q}&=#@fe1?tIuA`rYs58*8xRG@j~=P{kW}
z{q9^#=RkutwQbUV%ben@O1rD1f-86T-u>7xPaan?d2G*R4W1X{PnKL&LbjglVLi=B
zlK!tD@=Yp$#sRrQYbWI~M6Tnes>u*}O~hp2f(byT+P)nlp|VKnHZi=&+fC*l$XSt|
zMnL5bZ~B<pDr{Alv=?~ZLhj>D7|j1<1)~!wKAlsNs2&q>AyMNa>CPa2iE}RJjgEa<
z-QyB?J;(Il1D;BfdgAu@l8Ghk;<y>!zDgXOm;nkePnM86Jw0bP9<czn&|Si>14OY$
zP*i)9+Z*z8aNg9ZJaga{c<QQMCxpBc-?Ab-%E;9Cp`_YrGuZFVW;r7%hyi|aMB9;S
zvLtEm>djyV-u_%4gtGY1Cp@J?wecf)iQaZuIK~tfuVl1HU*<uJ6f53==|=K$dCtjS
zT_%t=Gvjd}hYMG#4GR2z+)D0#epkQ1+ysvKrFU41aUyI8sJwrmgM3asWxMURF>Ire
zQ(tq~(Wy1ALFGj^8A{31e!k2jt*hp?m!sIwNtJ`^jlyrTD7x?7HD4o$&AIExCb~q5
z&d5zZc{o6>OUnEGrOprpna##l#}`Q7;MDcOYe&fQyQ`ypEDa&8v*n5l>mT{Py7##n
z`#3qWitXvDTm#5-+;BY1c%GcLt|@LBoFIda7uf!y7{K;@VQ*fapCjY11fPxQnIxZ=
z_VYhW*N0}Ru-X^NIZ|ff5BrU=Y4V|Ve8gULeK>HQChgq)myGVecwSHRFL@{D(-dc>
z9we>R|8Z*IFPZt#I){JVJSk)3_8^3*2eu>K)UA{`((t7GXS?JDQsY!mLs^k77*-Fx
zOG}y~1y=M9RPwQ*r?Rj5PkUWB^ZEg2Au&&y(g$h--Py58bb{k+8w*Su)WkES{*i6H
zjgqaeIWXt$fO7T`7C3rm%qu7@kj|%n&QBO};k?je)(K%2ToGkR`fphztG+FyeXHZf
zDWWMdek&8?YFn+m-Y$`EXCbls94}H*d9O#O=>SE;^;pphHr)6$xjJPBKU%(U@0S{7
zz|FB|<L;^KSRh%uuYQLh9@U9=d~C;nJpbhH4v#pn@KVw7<Clam#Xjb0@gq9yrHtCE
z)^Xx`iKDE~T_UJrBiGs|PKR<uvxnK@-1vRGgComW40kGR%OAO@4Ojnk{>OHb2Pc!)
zMz`J;$2F6Vb$J5Xu;SI_4Z+-e*mC1K|1Q~;DByCt-2OHV(r&LQihIeAJ8hM@-WE&Z
z8{RkH77c08!_N8KFkTQlGH<NB8YzwSQ^6J6yQtuhK$+QfM+h$yk?dCcWw1<Ba*uHu
z6%I}IrMi9*!6)vog4c!1q1xHDw8BGFxOwL85>rVGjSt-G94c18&qQm<&Mj2vEC@^Z
z7bK2?^&_{0B$SbR55rk|D-~+Km^xOsOQ4I&kf)lr3ii*dygqe;3VUxvNtp&nVxnGS
zU1GT^O5ZAWgaRszXl-ZzCMAuX^IMwNS*qi(GkLF1ng-w9oh<(RT7{-dQWHV-8aVp3
z_tW8Y8Z7R9w>ET{r*(b)eZEJvF!uS_O&=d^hz>j>)7mGG=PRWgw$iEiGq*h^!<i0t
zTCX-YC@Nt|WJU>ff`*j)uR|_{GoVYpJVvTm8D-VY`IcP_1@{a!`wi=WU)k%>HPb4n
zV%Kc*^QsOCdwaOhTv#v^mUWe9*~f#oS4j0!SQruNCAwp?E=+L-LiBZYyz$hq=fM&S
z4>?y2x<u#!d3twL?~n${UnxBNutFDYva<Ire$j`xCucep?X^%^bTruGfF54G7%1??
z*${|5xX_nIL7$(TdK<^|aLVX?)tYG|c%?hDs%(gg7f11E`5JwUpJ-gS?TrasNRp;;
zs%vBK+YRkDyY%r|bWxm3vKeHB{9e?yq~lWa{mh%7j~gOhY`$>W0-oqO{IStt;BR+{
z`&G?)cq<s{GEP}7|Laq$_YX5LT)JYLu%;gN|5szE!2;OR^1$!LAsyTmuqlJ2>tc*&
zY{!E5GB4i0voU$0gB07UQR{9dKH8S_<L!^-9+cjFTqIiuJ5D^2c(y>t{$KgBo37YE
z+sseXwCy^`<UhQ@uaf$IT~XMiY{Bnc^l(f$1JgQV9=3aEqVC^KXZ=HLA)#?}{81Mj
ztD0U4ZE01-eO%7sNAhf8>Subv<qB;S*!bk5`8P#$m|OW^f0ZqS{n4+}4y0j+a%*LP
z`zq8L=aaaeZwn1RQ+HPkQ!qnCA$`VE99x`@e!O+g77}NT^iMfzVesAu=Q|hqQJ1)S
zmc!f@=KMX5Hr&v_NJibeynHqc7b@F#soe(TbPRake^J9vs*il6UXGLT*+X6T57|Jk
zw4#roxGL^_Q+*-9@(XF^W)(&KXAKf>w>kavP{z9lIqNU*G!cAO|Fm_^Sc7OG?i2J>
z!1guCU!yq(iOG+mP6M3QFi|*Ib5KhbL3Z8ylM#Q2)c88uhiCw+x{!uL8q)YsU#jfy
zhZ&-=?DNy}f&f3-Ur_};R$|Bvii&0K9ATI!Pmk0jppCxSX`)mNGs^6Wr$YV_a^5X8
zXG<%1a>Hg?=#4N+(vCgp_E{iahx&N2wp)U3!g!$f9sv~UJW)@iE)cX&1AgvjEkN#W
z*oIxFmi?!rchC2o3q+BOtL4*WZf<UO-#9<Tfoy-@eRx*?j}YmeT+`EU1{JqW?pNPg
zBL5X9UVg&$k7$a?s7s}o!FQ`17R>!66`Y>^cU^v-p!XR(4+t~`$qT}V?$1t=Q`H?U
zBh)z}w7~dAW048ihrQvOyf8*qZ20=P)BG=CelV7CNXP{G9hS5{==GCTAy0=!y=IA?
ziAz~+yNy9U*8H=PWfvLqzT7?U)(qjznPgK^VFV(Z*gNiMwUFn064wV!OcOSroexxK
z8iAo<!l?X_52V*6t<<|g)5O*@_ah!(GladzjtgF3&m!yIclCKnOcUpfc$)R*4ZuQT
zQ+ZoOKEa3<F3kTqMab;RZ=@YCfVo1+vnkvki1&ppq(svc;ca)cdsnAEd|G1VRmwIJ
zS#<X!zB5yVu#4~I!mavH8p!sE^G++#&XfDiarHF8&h;>Ztwj%Rn1ufIbnYPLPh?l`
zDw!sVX1$8lx9GvMgM8I;THOTmkQ=Z4t{H-(Z`CROAG)9)5-#@kdk@i)J3fa-vqb6n
z_XltL>w=_9@e!M_K7uReF;Bh8UqW&5WN!Hc3wmpk8{$L<i3A7NpJf4agxTcl(c@7p
z7#F$2ns_)&6l_h;U0**>Sk*B7o=URdg-WP(l<FA4DZFy{((VO9{JN7^o+lI5q;9?z
z5;jgKoKV;zsJ}$KsM$&Wy`lq6TQ0k=>6#$o((6u*C$qtG1zlvlV}N-|a*Oe{Ny4ci
zT%xIz9V&`0^ZE%epfHBeOBk3U-oF<UbztWNTO;%Nr>=B38IYa&=*A3jI0zJT{kdQ`
zdzG<Hx;DVRE`d6)zeEJZyo(&?21e=rLZyE+P^j!2Kj$z{?3wzI8S#)8$}#J3^)?#p
z(?9p{wD$rr8?^JK^Lc(S5#qXhrh*E=K}#)Z_m+qq?p#abHw2;T;#$E9eJT{S+ZT!m
zvV)7gPE$yW5Lm=MKA@OQ0X1V^4Xd3TaOiT}9R^JlR_DeKuVYa_uyIkqv56DJ#9r;m
zj~0VLyMYenQY~=v3cKfVkQ?}O-=EmUB>~zu?nxDRXn}K_6<-mR7cNwfT>bNKCA>+u
zirBEI38vwR9~OoAA^P6RkLH0=Ad+BBIrc&mJQW23`jiD>g1>G_!)Fz6E#1!G4%GyQ
zz8l5|b_qeN*B9@Ua9LQ_<oie8Sre{hxy3wf6#-c+4mn;c58^Uj_wQP1!iNWZYDd?I
zfvsTd=MC$XK<Y%9w%2M+h^-CWW%@=O1Rrg@!eCQ@mk#D7BL13SRw2Xw&UGc+uVEjM
zJ*El;NpDg|9%;h<Sm9$dVJVO~rQoodTOH2WUwqaqtOa$UxqHoqr6DBDKHcNF1{ki;
zO7%$7g7cxlO%W3^urrh~p?FLS_A0l(dFo4nHm$Yic$DPftjc_mkuw#ZSS;ne+)jo0
z{cNt3BZ_e9J2%%W&<2rp=??t~G|-3}PSQA`3=&-O#m$xsDE;)dm_v#Vm+ikB*;lK8
zUiGEiNMORFEqB_>e=&f$S&`d@q6Uwo)_j<~yPWeh&x+=9u|WTY*o@0fb>Jdd?8Y~A
z;mEeDmLscm;jO8K-xX0!_~LA4d*y^4NX0(Y<tWetVV(4blxtcLue-U2kI)DGjm#)r
zHv`bE=_FqWP(jN`48wow!<3nyOPHDwSTsZ=>_0_=V2`F1JR1xkSxbiPudE4(X?i&H
zf71r4)~}cKVFvK#UPtv7eKW9-zhx@BiUI#>ON}gc8o;<jK+ats3(zos>c-I40k^RT
z2jeMyVEnbWvx>KZ6x#_I8(t>FkH{VSPhTJIpW1qG?{<Kku(jH2?lGZ!E;x^0K@V<j
z@$t*tVGSC^JMDW$nJ|`Hvc>Wh3k0T0ULUZtffTPLtH>cH^fsT*%TUz;4Y8v^jRLk{
z=ecdNGoA^&di&Z=9HxO*qTnB{hqe$X>@}R%s{>_msls9xH9@38?{=5yY8biX#~s<v
z0MS1)Yad@#g?hVp2mLp!2I8&HR?l=gXw%1q!rT?0JT&}V)b`b|_(tloxT-eL*^idB
zaZADQz|iq~HmhOuk$CQwASzTo%YU$^NEoJS-7~tmS1;dBtRwTb7DyY3Z%moz0IIZ%
zvt9Nw_Zhaso;eyIcjCxPf%b7C=k2D1Ho_L3nQHsCzE*?C>@)grBJ+rsdm`-(D{bHx
zL205a>*Q?kXSc1HeWb%~oBw7B8{kk}>pxMd1hRV`7Hf1*laC5ddKA61hH8P{U&brt
zVS7c}!{*LKQpiJo<BX0qcy*4XiQHZVrBb9x>lO}_%1FAx$OJI$bc<nglY}zWo0D!{
zT=?AkXbzVKz(9cXnOp0{!6|E6YB7@=`}$nGr`8h?wnj6*o>K(ME7x61-_3&&ORBvJ
zTdjcCHa%>rpC5{ybKLU^d2l-0Z|lcHmf#}otoC3XH@E@)yJ8U!{_ffy*b%?16OUi~
z=VjSpl=6O4`9&Taqq9eMkme9qCcb0iat`QdV)y-K#DjfvJwc{ZW?(`OAo-{N5LQh!
zSt*U&c#CQJ#BN!K1q_FXKiz{w<?P(6jzDg#a;d%O7itRX?>7WI*X$&o1poYbSA-jp
z&wK0Nw<eGnbn$|QZ9TD7=-B0RrChi%gu~^eoC!E-%~3me(#Ti0b|mjQ!-bu6x!VVi
z8^g$gaedVG1~T}(XVI<gT<96mln~Io+*>K#36ZRy<i^mHz@4sK_<+IClCd&^k-fN&
zzpaO)I`$q`-^+z1XRWuho*05?&78SG!XRlcJn|(wnG4$<v#}kMGlUvKIX^RSjQn}O
z=AzF87bZKb(|r|Z0E+Bt%8NY{<mo_7KJNf-+`od2+O)y|zL!z0Pnl1V)v1C+7B>&B
z-{TAgSM-;AlYkvPbcPhNC{(qp;=yfdVZ<6Seb~OIG;DL`Uy?2%IB52S7cIucXTy{9
zK*VnSy_kl1GDD@J<#hocUawE5`BC)XpiAD@U;h@!(-i}t+|Q4R$8HxcE%#X;56Obj
zRcx4@9uUN7Cy3>Hj!XEv=z_SNKF=3(c8s!LU1MCo0vE^pB??DaP%fx^@L~W5&Ni-&
z{CZXx|4JB)$;7gtAbx?}JChS_z2tVM7>HtfsN%zSMlARqBk6v9mJ5#yP4}M%F<d2l
zR8QnB6O`w!x4P`$!PAoOW~BFsV|Vdc%Plk}9H+O4)wS^=BSP#)&tnP9c36E2?&yH}
z>@|1h34SaPH~Mf#KoVy>aCe!E4g~k}O=q(NG3JU_-t2!;sMWcDnC}q-LVbU&JHJ8*
zW7|r0RMJ;rzpUAXQ>z)!-rc(WuaF2jRc&o78<)XS(O*Vof9R0(^MDIASrk30E|{cz
zmqVAKlE#WcI{fuL8@az)4AqiTq#6emP`PYNbXg1?=p7Ym-U1SMb!M+`jhHf;cJit?
zouR{eN#TdF{wuNbl>~mWR>5AUtd`x^=uj%XR^m{*B>v`+?Bb4AMbQ_ZUA&9vkkwyn
zV;3xq6I1t1cz&qiy*bmb9Q+JW9KNe5r7VLhW&`S4)@k5j=kxX9%YBge7JC26uq>ub
zEWEC&)WpEFw!J%*bfEW-tk(AydEB_)E<|G!1!q>?G>IP5f&SUBl(<esd|^9irTvSF
z1uOW&r>B{)AaZSu$ysIW;<@xED_k2d9B%mc{SFJdA4H!?y03z;)_B#hGy~_w9<Qp{
zrVHNBZ2vLqmd{O&haP;SgYR_2*O*%BfuHJ{nbU0Q*sj?n5g^9G3Aw}9^R4xP<85oN
zo~Z^-$4^Dhl(LX}LE&ZHJ_9%*^{Gqbh$gNLNYy;-ri;ekQX~fR4WZBFdiwWFEj+zy
z=e13Bx~RKPKL59}F-#hN3G-{D;FSHy_cBF2><W;`z{e(VvrF-B;s_P9^qA2mHhTEZ
zAzIeM-VC@>X+b%oG_;i{n&Q;eL&~uO)t)ov!2i_zNYqDdOpM$;DAKEoAHOkKK94P-
zT`*yB>^vR0dMc$-cj#jE)kMdwt^{Z<2#t6PGLU0Sozp-P3p@0ON@R}$bUxW2>9~b~
z{nHz+a9c9*naG#MJq&AjYu#%2F@S+PI33;=bkOlv)mYBCkJd1D=)fT*O9lqJbBNX(
z(9lZqmHmD<8{kp(xc22E9Z&WZW*0bX;e%&X_t;_^ust#<&Y?j^ALkxNGZ%Giey_Hf
z%4Q33u6GqwthI6V{F#HM&MH{-viyXFnl0oAgvjU7mglbDz}HkSkJFO+N+&gKVgHBG
zy2^eEM#|N=gR3-3CEnjMu)-E9?7vy>x}b%8x*rd?ZW71fu`|Yztv0|IQXl`jLK7KG
zv43^X1hM_kvHXm98*p$idR}{09X*dw<^PRv;;A%O_ZABqcrRQLbZ$}=6YW_oF{N`P
z9bDVjw_3w<^GS|2e-%`}SUj+;X_R~&r~J7r$QtsyhI7A_D`BsgK%GfX8`)W|P4{B6
zhRtzSt98G~BU&FRvp$ea>J6>Tcz6vUgNS33<dwyy{j7zS^v}e|)X~@f$pf6}apjEn
zlg433ud&Fi4#Kc8CUD4|fMRpg!mQDic;TF~{KA7CB8@6vTNz>nSM_WC?>-Snj>G%j
z)o1n*TdQ|{>`b);QNGH4TB0a6AMcQnP#PdOb4S_O>MY=Sq@F;{E+M=zd(~;lYk+vM
zrFbxu%>sDV+EowD@*|OCe)QY3enRG#g{;4sIh^jfG???72XSM^mo%3?B2RxXIOn7p
ze2mS`5!2?v1D$ew3ZcD3$FbANDrKgSY@xm>w1gcg!wcn#>wgiVqTjDX2$_OsxVZeF
z?h@%%IvQU;xXd@r&FoR$%Q@`<_n*nYc`|!Q*tMtg2N9J~FV$6O3=u-~d#f~ONe%ly
zzs%dd5!VybA8wN{h64U4Md&z1uIb-B9@W`M+^J2Fe0J0b!gqM6_cu<E`>mS@Gp<jB
zVA2K3{Z>P`nw_snyc{Fh4S&C~N_$Jx4*!y4TVn`;d!+9Ld>$rko2lC^b&84a2EMy*
zzc2vSQ6gNfa)2CoA2bqD^?>NO{@Bb`(*P7^PH-0K_mQ!gJqz=<lgR%80096043~F2
z)omDu?Y)jY!?7LXoMX@5*D85QiZoOzS!EOrB9)SoSrqL>MF^Fa^Fs=uG!&)m5t$()
zz5cyF_aD#meD3@CUf1ccK+eyXjIho4=zxesA8Y<~NZ^k{k64A=C+Zk7MmTYLz<8fm
z56g_ttK?d170cL%x6~+;iF4;4MZX^HVkI8G*}7;{&#H;LpTv@8;y1_H?3G_SS#1Mh
z&o&gkWBtua@O^rbfu8(<8)-b9ESFpBEQ6UJStSxL^aa%!NIaLL7#z{Tigr5_Vq5f?
zwLd8Ca!wH)!aH=&Rm*m;%<rGeaxnPH3V*n>WsNNzc0u~PHM@VXqAjJrF`j&9u}T$+
zY_A#O*Pgjg@smGT?C;(8v+H-VmN%TLY^^guhYH10#-M{$e_4trO1PVK&ZxM4&8$9x
zlTA9c&UCOI-|8B%<LqV8>lVcl4fHX2M@`L1ypx5p!_M^*{jB68fleEP^dQ(}797s%
zWKn6eB@Z13S=*OwxLR<RhJOR)58cmpv99=*Zyvlj#40~&D6n%>7m;&CBkC#Lti6pD
zd^yS^tin>4ox3e{QK`_s<8^TlEAWXzpZ=~f)<L`UFNLRd5Fm0T>gqx-Ye(DBs_gD@
z*0~TzD0XPW?UV1}TM_-N7jHifevFx9IaiOA-m%n%Yx}t@AK5`xS!nzFQOhY-E!S3k
zw;V0_8@oRE{_7{pw$(v>4RwZP?>ywi_fHe&ViDakGt3h8V#L2Pn`Ma{cy{zhpe7cV
z3D};t9A&kx%hf!2WS(`o{YKZ1&l>o2WZ9-Y?PIK*=w{vjI2KvlYxEbDT{VzDVza@L
zm|%rY&HZ<88ygw)nR{PljXG)u)0|(`OtQWw@Ejw0*-4ei4|<c1>fj`gJiQz_#rkM9
z;*poiNygS|j8E37q3%eqNU8e_YyU)7)jvOOQr=(jmXwzo0xA2mgE!5xrj%bg)d%sC
z&wfx9EBmMz`MYx0%}evF{QbwPCT{SP!_xuH(Q#C~7L`3p$}X~6D0VMDNePiLNQxg&
zreZgJKczL8joc`#tmafJLLO7n<@r*pin!Se$NvqplXjP;HJm!c$TBJEpcRKy5#gG@
z)jx}qG+5|9SaM99G?DRp6l$&tFN-Kl26K~}r^g*Q+$BlzTHfPt*i{jg>|E6m%1aL2
zaMbzhEKPcPAIdUlRYA=DBR48?`N`X{p=Z+~Wy!Q$vo~)@6=+0s4Ts7Ik%4YvC!T$h
zC+(}P!(E@LK=HX$@3L1Sq=9K-*Pd`CQg&OYV9y&BER^i~tN2Zfln^<QWTCD?W{SD2
z513ZL=Zar0_oBqfg+2Qe5{p&IP~p%HKSC8R7p8xou$3f>()eRSx2TZ|EqCW_3RF=i
z^eKOrzBF0S<PyJWph4#RF;%m5pkk&;KBe1PmVCPK{TrvM7Fis)Xn$W&4fI!qB~oYQ
z$swcP=WLC2NTpj|i=Tzn(K39Ao+_+FE-y%bv12EVYzsV`$Fo)gJsYdXrplE`7iAXV
zSENrCkWGv0do@9tx}ETJQ6;B+v~_K{>EyLck6%%5wGqpmxkmFXmGtbn^0Ur_K`Pmc
z{!~z;f%8njhU<aqWVhy9uJ_xRWLJ80uKp)|P)(=%1SB*`(?gxTSK^Gw^%Z_we2&tQ
z-0OOGtX7NkcZ_SN#T%28dCvzQcrsxZ68);@m=4L;X=m@c#e@uIF1D=pGlq8swZq+v
zMs|iiRMulRCBOU@3|n7diW{?P{JYxpNNu<CKbLPZCE@N?wn5zjI#Iga`?eU6+CO;O
zJA6#Z5ACD&xfNFU&K0O^Rc1)?d_K}S`NxE$9}7*_3bX~6>)RXCJLzPWGu!v|S|;R&
z_+QaSj{~!wfwQ`A=%l85GUuB<Bl5g(W{7;X9a8SxFj~gRAWM!dOgPyxN%i8k9KkMo
zjOa0lK|ThF8VN5a8#-CPs(%IRqXUjz&`bE;N++#6A`<MTXk_jT=c!%kj!@}3)4Ogz
zoy_I%_hYJSk@;U=7p)L?LjKf$skN1c<gbRqi;DJClGpTjnDRO&G$m+CytOePYZ}v4
zRtYJPFDI7SYxpkpS5v}hVR|G7e0T1&7AM2)ryt9kIpJH6-gtq(E@^ByY!Y{$i?r_l
z>?qpf2um{4liO6AOrdSlF%TPO#k2k3;MwB{!mF!c_lO3$YF_c>xm%q?wCbmV*ZmIo
zHoEEa*{f<~qDf@U1&?{cuCbRY;NbwvcVRCk)~S*{I&2+e9~XAb9y9n;Y7dR(+8uqi
z%SZ(q{d@;s0et*-#YtG&9!jU9glakD$?}<+RI`mDaBd$>&_85{oEE!M2X1N7yHH(i
z@{AaM4hklA^a8J6$;*;%;$+9E;yAT%3XFIvN3y+vgWH*woTM=Mj47XSf06=Hwz7fa
z27$E^Ti39nc*!$g)s>Uz;`l-DNZoPE7U3$j3Eykj$<kvXskv6-*yI&J`|{8RawXi`
z0<C9R%0zCRil#U;^&fJ?e6mJZsOh1Jfl=0r*_t~Qe<_eV&(E^tutt~S{q<pS-&u=!
z9f$lHDG(bY7*m#3@Xe=+`ffhXG7`6>rd_5$@ciw47Y<wE)0SO=0?XP6eS@$2>mn&I
zm$IYL8Z0ojuy1lgWRSRE{dhC?dI|y#y#MxrYJn5l9Yqem#tDx@Ly2=P6s$T?#`g87
zIT)_e9<oi-M8=|QYT#-LWWDTG-y1N4DM#E^QQLW<KK8<mHNg}l%j-U<UuTA}-%<UG
z?*9myPvrr_910xU`r<p^m||*>oP2ni9fO6ddqq1bIFz~J`~4NB_~BaA>*&r2Gu?vR
z7lb(Kd3!i{>P>JV-j7E8%Y`qDBL_Y_6304?fEAzCm|$am<~r?*JgB^9mHc+O1Y+*&
z-zDE=jFj8!0<IhKA*o=-PIXKI(tPhu^c^t9+UKVqt|9rcqSg33vs4nx!~Smbku=8q
zT~6AmHG=TiT_YTtCWS2;4I7Fd8-at$qogq;gx9(6b?p+Rp}w0quf5#}lkM8f+bJSQ
z+HmoQ!bKVId@X&TBx!`~9d1MCRm8Aq$Cts~b+V9qC!96k$i(X)i2yfF3bvfxt8r06
z9+WZ9Jo_{z<|5c^%*U7BvFOtM`6vY>XYFP`wTX#}>~F@iL*kgYZ*}hFf+Ch1X;mGf
zGf~hqvr}kF0!itsd*&}L1MRT0NrxyC$qW2iuZ5++Ykt%90Zj$Ddsz?9%`q^&f6d%l
zGihv8yPl&jql)c2wD{A<83<VM#=Ky!46Z$m`qC>(1&^7}&)z8pCTew%O3GqIk@woa
zl4^(v@9=xZ$3*8|zhC=R<q@TMcg#pb9T(-Alig@cto2K<I+dw_;;e#*ceWa+KiE&{
z-@?QvjetK1ib^nfslWBqR!tmTm;Lw4t)+jJe*fO%hs$tm=Kax-<63BNJSi8p$OQ9i
z_|ZW_70B8~H8kGUhGFlRdB<)eJa}p47%8L*ZjR<k-8VYeYBw`sF>Ztx#bRsKMpbb`
zJ}E=HTNf5*L}OQ+F@`}A&kjZl6`yryo+S^_P$Jn}8)0jL=TnA(+gWPxsM(dXx?K-r
z7k=K$<2A*v&y@IuJaz1Jle<!0tPhS0qeUA1rtmWV+Ff%-19v`L4?4fu07?54z5KtL
zL3_JfHh-`t-n6&ZUHWQ(%EaRMKb_{_taP@%ZKZ`XUY4UZR6~4Rm1nVQ#sUiAR2kL3
zS{R5>O6;L6)zjXLILTPSUR<H<!_qxDUlM0b#tl&W%v)2++8XQfIIoG>=wRsW%?)#*
z2JpG*@1MHW29-M8rM@LP=o_>AkK>j;E>*o){W01WiFZ#QC%JWDoLP|~mZ67|hLdB}
z2?YM~waIoE>4NV<G`pZJ4aqI<{u$W<izk9hHZSpGta&;|PmvCEbvpe^?g3?cv%RNe
zba8~Oz`$}s3tdV5YneQDuyL+jd9^_Y1`juFE~9AT68{Fi@>O<N9NO!fy+H@h(?1-c
zDXK&Ic*1pwcsm62>OJ33sSRU}u079}_~`|uk$vcf9R@sd<aYCFBctcC{0|)!xOcPd
zC@!=^;q>i$HgqjiG>02mCo3XDFj*uq&kpCVhT6766N))G2e{efV9qq<pr+cvZ?)pq
zM@w_2(5>Kf_?Z-vyd}ev1MIMB#i3R=Lv_q0H15=^7e|lT*p#4=9hjSCM7d?vaA{E0
zXq+L2{-$#8!AW3z$8<~oUsa@c+>Tct6of+8wf>C-z`esaekSxTaZ|*HtZo%Pj7|CS
z2W|l}efy&;ZYv{IoU*!%gBvFfQpvA^fZ|}n{hSOX9J`cOclsCywsh}U8?&3h`5iaA
zrOqoLI4bKuY6cr>Rg}Z;ys*WB)Q|l^kLB<<K0n{vaghje-h6w7uq|>n@9N2)mVs1x
z{_m*e3&d@viuaU{4YUrj6_2iy#@Y&{D0bm_f>SB1YWTi2PT#WH?%yg2r6+H_w#Up7
zl<cc7<=CyEk+JgQ@xv1M)1~mB=Fl7w_0yl!_O`;r$emKn<>L6aZ+oxz)EuE;vG?7%
zVoTJOuX|f$NWt!GE<N9tc_J}Cbg)#|63YjFx#(JoVf_WoyA0941T~MXoeZ@=|M!dW
zRkb3xdDW?v<Ln|ao@uhJ`-3?g&Q|Xl-5`wLNu4j-Xl&RRZMezQ#vEJ)Z(hu(3n4&r
zOUxTxcFe|AKWeyV2I&epoe@nzY%sr6m*T*Iu$TH$4;9TY^Hsxn%0~b%4oCBPMshCw
z0~Y5OGE5Pjs?oakB|i*Oeo$4ObD?D9;9{|`DfpIl_xMJB+&g2I^FW>lyO_JYyUv(k
z=w<>Rl=zX761O!VjTeJ{241(sOyF{%Oe9f&AICCX@^qK+!)3+PVbN@3sIQ<5-c{kp
z7eBL@O*I0DeU|BLuW5|TZhZ-dE&Q<E!>nVS6v9)zHl6L|MmSdg$JxG$9~tk|_CyAV
zppmPs`jWd5#1}<^`~MTbVHcmdFe5Rjs~D;13^S3{KcH1LCjeD)mVd1y1*f-oNUTg@
z;$G>Vf}$otussgwZVV7dnd_5U7gHu;ALMy_el3J=oa=%&UzNbjPs_undl-1bJ`<AL
zCk#fDz_QcBlDPc#ad>1l1N{E=YHw(waGBd~*Rfg}8k0eD30@2=O2qQWxQf9{k}tBa
zQ3je9N56Z@F%T2~&u*VI1sRbmbi{Ycp&`%f`N>{7{OTifZcI_&-7M$*L`DJkoP5)}
zp3)Iwo#e3kr#OyyIp(tUD<V?8j&RJOL*?O4n%Pnw4Q)EQx#q(%I9YD)xqF-rC0jKE
zQ5h*XcVAJo3sb@Rvr<j;Lv&QG6>>PfbiSJzP0aK0s;K?``n60P9d{x}t#xk5U_{{E
z@6)+dtkUpzW2MtE8j@8KAS8!feY^=?pVjbOibL~G866oKPxE%C%HwFX>Y6)}8rVM2
z_Bd>i4%$tLs}!0d!XsqoQhYR_7o@nnj=@0HGp)|b?@IV%5%g(Qffi&h`fEg_GSHHA
zhRx@$GJbTfI^)EqgM_Q4-!!?H7#|;FPkgC@!z*M^w^kQTT<^8w)0wC%e0cWq3sulX
z{C)^ur(w!k=Ff<^5#A3pgsWCiF?aCAImrNIK%2i#J=iMrO-9ZeLGz0FkMe3Y{C8U+
zC1210&vMcV&bJz4e6M%w?l<bl9lz&yLdFn3Gs?d!e=tFO7@PaGW(_<{r&Wc`8DjO1
z?CkzNQ&@_8^ALHz<ljx-|9<wQqq9>^AWz&JgZpjmKfKn$*s8`4j>&Y~9p}DPx5fe?
z<{@M8_qBl_HT476>Bzk@O!2&7iO(I=lb*3UXdbj@(^~4!RG5(NnX^Kt>?5hQ3|-V`
z?^$8(Mu%}3@5A?=Hc<MmmXcqsi-2ogD*H%7_;6MC#OB$eK;WY(n;{KSi<!$A$p+Xx
z(9!Z_kbtC#i%?}K4F$VfmHN2#(N_J;gK-M*WQ58bi=)Br#A1c4F%7ej{}m@>2M><&
zM-E$QkTvbxsjZ=d!o%C@nM)kr@$N~(O<@}JY#%=e8`MN&kA&5g_jZu}nf+ocNf&3F
zCp^T@szWY$r@H~g9+w~02r9Jez}Uao{F*Tp>OXx#5187+gDS#%l6$HCGnGA-rHn#a
z^($=$d$7#Zw!9S32G@tAbZ%z_962>|s>j?Oucp@}8Bc1$Ksh4aUQq_I&T&7u<?S)c
zml}1iMguj?*^PfzNx<k`SKyYxrSmUy|4;aoI%b<IzW?_{6rAfGwEVtnhdVN+jy#TP
z$cbv6pP1l>M)WXS!<MDo6g?`-T2RHlAz7h)BV4eQ%4T~kV24jLhdD~iRq&M75Ytq}
zhPQ4+vsE#mwMdy(pIwI2`O%@Ls^<v#(Hqy|Jpj3iN0wn16rq+~R&Km^icr?;?JDRX
za7o8>{c10HXlM5I4+M@AeN5kFwu%H={vAkhFqQ?Qh2DH{ewcV25^-<9+ZMi0j?Zl{
zmqz=?l9^o5L87B+W4KGE4F*y)F9z<AM8CW1rmvNKL|2WGWzv$5#QbeMVX?&D9(^YH
z<qf?=@As3Q`{b-47I3uwIh_L6O<yLsCVPo@+bHQt+pM5!KWY(jOB6xtbqZ(y^%39X
z+eZ}&E%Ea1;e_{0Vc6zTBjjEW5Rb1tu3Pob0=D)-oRR#3xU3iM_DF4rxOrT&jOn%H
zDgSmKyROa;>tv<Qm4AK_?AJyTYl_Tq#Y#nK=Mi3<9^!rdHEWFcbJ|N}Uc?-dk6$Jf
z%JP8ocz3nqh6$qa_SEyry=JglI9arBkP9cN?2_^}zlk2<Y)PK4rie>iR{d#&6QOZ(
zc1E_-#QYlZ&ax#Rq3|EMtg69@##f1wrW^kdj(c1xo|l^-y0D{qB9Q}WtNN!`r_B+o
zr2oo^8kk_a?&WVrG92hjy*;_uu|QZ2adltIGsa?G_DQWqc8pB)2!3+=N6eN<3+&P`
z#>-8Dn|I$~$Fy{de8Dgq_5^Mi3C=SD_t_867jxOMu1ex!$WlHoywt0^p>KpU8Wn%d
zU$bM;QS}kyJ|~pj+_mJ(mvZFGyS?vuIpCMPwtl4^H#&SM(chOdq4V|O?e+i;NGF}C
zajWLRt2(Ya&Nc>S=uEL!eH@T)TgNTEj}OGw)k(MaFz_hEH_7cdCyLI7JbdIR0OJUY
zqJCip>PxD!Pk{@`)K0A!6Cr%uys>4bkPZV{^|cNKZrlm~kkjuXf{9hyjUrxj6g31&
z^UClbp=4yx%TWxW!iA1|+30AiaJ{g=<VD)hoe0k;3T|dg<p0`kh^plm-tq0>1I5C|
zIO3H!7<W{2xta~YQ1DoI{GK0vEWOkkeMzix3>;K+H9&Cjv-d3<mH@2bR#xBxDa7Ad
zEcO1RkBcWa9thzR#;IFk<<V<p@aW@>j{>3kpmn<PJn0a@6Q3hCV$yO;T&FKvE2EFp
z!H}%<y<#vIef&&qULK~*S+|`Z^<WcMo}zGug6U(gHXY?sLLb|fVy;|0oC}PNUs)lJ
zkA1#1`9{h(+10yADOC?Ay4EBF3rHfntmW3XrQ8sXS6LOm#N&4@dY4!3k;3o};i0pf
zRK(3stA>{9fzltwh@6s!==FVyAH3AC(%&;6c1jPr2E)!#S+Xz`=6y2objh<^Yq*~H
z=;O`y3)3-6do6OCadR(26JbgLNlCx-!3;hqUd>cQ@?5Y2{jnD8+zcB_3k+Z^E1k-2
zunhZa)9ss_b>N?o9jJTN5a$>h?B&%|ux|e$wFjNLSaXo|bl#5+sdsUc53N=4sgFAR
z{E!})|2`|u$uba^{hZfjI~Cy}XZ18h4e*{JlJN8w0|F6j)tA%NkQuo#-6dnmYhpUq
z4fimy{F;%_{nzSPLGl~4#?VnB(X#XKKO>Z#RJ@zYrirol(znDF8Sws``ohh|1c!Yr
zodeCZu=33zuVYskkWp{1YP@6$UAKiWUw>_^cRQN1=N|(LNo!7&$eW`ydey?C1Rcyg
zsVXrxW@7fIy6(LP7Fe<4{e`|XT_iiHJg!{gry#~akI6<WoclIqG7v*UO1V(f4t6Hi
zr_k4w3E1GYkN(LFdp&rP<qrGP7<iF$??S<2TUb2hHk4@71J8#SB@*3Bd~>8tekm5=
z#ntfRptU}HY`m=$W(;8ymK)GA2;?8hje?&(9$vkpXT;J6_4tYYxN~;c$7yx?gPT6a
zI*sP&bQ;|B)<?0_?ZK?6n(Cd=Lr%DA(TJ}$B>iX1qO<G~FuK0!<_<mZFJxvM*rkEA
zNu>ay-yW?i^7Zo0(QuK+LAENGioqHBx!uwZV2l0z>e14D)!(?;zZ+YIH?Buc$ZI&j
zV5LIyx~)36u-d&U#7hnxzs^5tm2!Y|t%#8|zc#j*@^RkRltd3t)=#%#dqj$LPnDh5
z1o!KB>x?-O?8>GHJTI^Zm(<?pGD}?LDY9j>y@>}r-(ux1Z?eaxP6KJ@lWO4Ok?uFn
z`$vrb91eH*YX`w29aG-3s<3{aev8Kao6ro8I-i|shlu4HMON-nLC(J9jSAYmgxaOE
zwewnbsB-Ii_GM5BD!IO)*1UDZ7KvTm+K&NpZOW-f6a{>YzIb#d_9e^2(unTl1Y}r@
z+VO3Z#Un4T;@I&vR`W^DC(U^T`rHSS62D2Ie5<r|wPQEy8McN7)!L%<fL^x5NePto
zClU{*`&hTrZg)5Tvcd9@uJrM36tr-*9Br5$U=>@0OHIq#fVtsHxP6-llq=+{ORo*G
zuC?vky~f2F6JOHqS-T5jp~N&q&0&xw+jLh_>X;R-8VM)bEAxTJYvWo^l>t`Mg!@%9
z(h|n4wHFJVmi*ARjK4p$kF~Q{et!m+CALwn&B(ssKzj499O+FxtjR(tuAx;HaG!5?
zE{|hF_pkyl2VWPf_IOg(-z(-YYa*g$mb`0^MCZhy>JQd-ZG(~c-)0b0E~(MIJWGfi
z((bmFYGVb@#%{E5H^X*5izl;}r->^;DeCL_KC%83x=6GanxflpS%fFgZ=!PV)|@1<
zcdY13b(@VOOi||_v--iCaiZql=d7CtUa?MRYY%Y8m>^>Ev(@R^QNrrAxQ+bEr>ruY
z{dd&{jj_M<#yQoLVdBc4!+WKkU1L3wkB{-)Xbgvxj-JNPgM`ZP=IF7!>jd#QGw0k}
zBV1Wo8rPE5PjHyiYnM!d$eXw&e93t!zs$Xk$yf9edK#@N(^p>-gCByl*VQl~%RWG3
zv+p7L)~=V|;n_gAhN=tQc4C4(=&g{iY&UT|kddu9+)T`zEg(Yb7}!a9_a?-=i}<59
zu^4jY6VZPE`TES&47_bV@cn8|C$TGECehrbmC&HKJ>vdKNAF0a-Ffp)!t<oJtlsQ5
zVr=BVsyl&nD3`vT;}z~CzD^zry}hx6xF6@v-8^9kOUsDa8xoy_&?}++5sqDitn)q@
ze|bZs?fm?dePt(6{r9)%YNChOVb=V9XoUfSM6S=Dz1K<9W>gwJT-`_PUHn>sL;6tS
zYrdLl+C@++bHm*Z4-hBrw$C_~=|S2$a<FTti%{r)dhKuHPvU)V>8c+SH1G+j^6J!g
z6TXl3*Ni#+BKWF%4^5iVAn{v$_F8ifk+|%PQ||C6kp|;{-A8nBXW5k+P0l`|ElYaw
zh~GGIL8JPF*;^gx50Rq=zWv1T*8(2H@d@I|j|q?EYC5P`c~<@9&jF%&#}wWD+Hd0Q
zOZm=}7;VVJd=oi&`zLX{JM24k|1@DqNxmfXRSVS%8yt(z4ilO=UG(J#{t(-n9;sK_
zYC$w_(pK`x2=U9KlKTA498p4h@Bc7Q6a8D$?@1<)5jD<Rx6UukZ<bWr=$w=$=De-n
z^L`&EE;`7*n=koCoR->o^8P6ed^D>Lb6Yb>+&#m#lj_QjL6sJ*DGm+9g|C=4`1PCM
zx8C?IwwnW)GOj*+$JFuZ-cu!?l4+vyS5QLKO)eaA%~LnzRfqjqHt&hse~9Z|?@s%q
z@u2#dc;u@LHC%n5G;+LQj<6?MRX!B*!Jj8`m!pOnjvTsHqCxvh7-tuAPH_rC)1HX5
zVNtQ$W%Y2#>wg5tgMB3~nZiq6y3#**8x=Lo;9J#e*+Fg*-Wq5uhFu=ogGEAAthg<v
zDL=@8uX~P)##B-8K)`Z^R+TCqH}k*UmB)o<r7~%cgAzEOTsW+~<h!1lfAgMa@Zdma
zr+(4~DI{11Hm&ziMU#k5xL*+;WVXd*&jiUpynt=I%s>_P|50>>IRue*bo55-eK`n4
z64tp&svv_nWC~M-Vb<$E#G|bUPtV5t5~`}Ovz7Wp8i?VO{GN87_GP#ed+Y6irCbkc
zQ*eqdr@-pj&%r|jDlnJG;{Ow&is!$z&({P<;Eq9XU;8mC{tP@AifK><v1aPXW<m;v
zC6?Vyw(7{LH~mug9~Dg=+i$hn$)G}`SvyNn6Y)M7!Rddf_#XfO|Njh^cRba96voNk
zBV=EDUE{j;{2nu-p=>IIq*O>Dl?ss&MTn$i<tLT2)jgr4q3o5cA|pE@<LBS=I<L<;
ze>|V_JnvV$orMV@BEU2k_w$sP67b!rNVw1~3j#cR?j~Qwz};(am9K#coTdDbwON(}
zQN{XDPA^G_S+3pc6RHX*Te9Q0j{+QL=NDSJECobpr;R+SL&(GMYnGx)aMkxNxsFK&
zeyhK<dz?&x+btY@)*32MrgkP&@v1D)k3KZK_e>L-PBUASm#ISkumPRAraX|S>9q4b
zRH*sy+?~DGG+;lyN2Aks1(?2l$MF1^7Od{#(e65>2{wg&Vb<wNz#Nb;UDv4%8HL3c
zejU()&w}Nu1zT0%q`!Ycbe0a(%chnOC+mQRb!S!oG#Qk{x2shO>4L-Oe2#C!dLW)@
zz7Tjp4W`?F#O|@yg|hwL5B~)k!t`6u%*o&C5L0rnPElAFvei^0HJMF7Vbh%{Hhv2D
zoex|;d|n401@qi-DJDQ{?|Hu$i4;h&WjD4uqYar;l->eiGgwaG@|f?U0KKA4j}5mL
z7?}PUp0YBBePi1X{aK<wNZzmDeS{`hbtf~7Z?^!)_^8M~!xT6r+F@E{tqxX#qk8-0
zEg{T)KDscU0(Y!)@*<0sA<(-2=jl32u>a!a<||JDz5)3|FWTkc<(DP#LPaZh&i(R+
z(_eKcCWR$P@=Adp^QH0UJFP(RuxX)%lNuCj1W?)8w}5Azacqv671RtRZ(=-3hRf{r
zJ4%mp!LtZ@SAHfdSZ6AKTj8P%U-O<M_oS^7iYF7BuH3PNuj{8bWs?-ad&d6fpl&nq
zNk*J+Ou-TiPdem@c5Ubdc3U(GOw*#{!bI(|Enx1(UybKiWMFKfSfF|<9p2RKDbHLt
z2UZzR`y6K}D72PRd|k+lH$|%Y#C**`s40wAzDFFEvbY3td^k{<lRoxhy%}^YeSXGf
zEetL%6Bu)9xDo$}yyK*pK|>(NrIBC(5U)({6N%%+K=<$eDsBSsi!u%V9^?h%o%7c#
z4Ed1E?aUS}05CcBK$G5t18h@>s`eXvc&=K&<((`6+$l~+daRisI{4j)PYoXy?XB;-
zp=JsyBXuHLuh)rRZ#Qp&*L<iOG%M9@Wdh%}|GO)<`iI!Dc4~8HJ|7A${c=e>Yz!$}
zGeYITW5n}=FGC`aZ}c;ztLNq!fq%N)dU8-3;n=rFyv>{sD+jhcTIx0g%A1)vIp&u%
zo)4C7!Ge5fHqI7TC}RlY%Y)Wr`hMCQs#qb<3@;XuYw_`M19(<*zfjwCoYutoshzW%
z7soG6ItF~!hvhmBvtRFKX-~t_-S4*W;tdYb_nS5Jq3!<reX9o+X`(b$+im^4*r(V=
zr<1J*ii0!qYWe?Y+a<aspV9MS9uvci533%y=iZ`^Kfg}%iD+NYG2p|#Y^izsXkExW
zKD}@tl^)x;U-&$W=fjSPI=$)@9r#)Q*VEL30r~ht*%yEF;WybQVOP%Sz~v>AjKCpA
z{F|j~9~;Dv*##BCui15gld6y!c9I!G8v1j488+ib8Lvs}Ty0?aefY-yO{`d~5s?{Q
zwHamN6s^pu+F<wi$+Z{BY$&_0Mef~M0pyDOeYN9@7I^wP38#y4V0=oIg_*A)QcYto
z5@A~K(BqN%%?F(5!{}RhV80MH?&&#ON74d|QMDm0M{d+7x}2V!-h%%Prn}cRQ=yA1
z?T#7)FEV(44u4iDj7+9Im&#M9V0^jk&97lzyrr`KcYsk87mYjonRZdZ|BI_td^;aX
zW!~nwd0Y&ox)w45C8$8UzbocW3qQuhTiWWbi=#7tZcOr=CiqrQ#Xs)bjMY~c>uO3Q
zv2Ks`Gs9L*;PhX-$-5$epT4C?B<f1xl@|d$9;gZZ>9+5`D+^)hE#0Tv6s0l!ahmqz
z#=X2ix7Z<aXbVd8_IBmV%V4R{jvc(TjsC6xx(ly_(do-^trChXw!A0r{nMfe^S&L4
zSL8(T5u55$$*ppzl6huo_^&27DP^Y}$rr=mu#`%R0C|+;RB<xZphDi7cR`Dq1TyYB
z?p}Ra0ngDZ@b8JB!v4C+lZ;;^aZTOn=h+vE7|s3QRc;#<gfG~wwSg3Vm>#ElF|34S
zS@|dn8!d2Ku&y1Fmc~Mw_+R8!L8|=e+@noe@K$TB(27k44G-lnt*MgHQ_GBQE<_u=
zB2%K|{>b2j5NFCCLsd*8n*^Gv=)lq_`H$+5EGk(hv)gN`;p5P<XtQM<Xv(bEobXi+
zFFiGopJY+Tv`;<$<N;j}DERod^SL~V*W6Kbe4>tYQZv;)y?P+gyCiO&tANfsbC?^o
zG*D(2or}YSKAc$BW)2HhMEZK$LbeDE99BCy;>2zUzO)zm_1a2kk!l~39i@RS?v0<H
zQjLH$s>^BrkP;qIUfX$1UjtpGUR1vDGKPVRQ6fR%%4o2^biwLBbu0=kx$-8_1l*3^
z^W8e3j78x=X8$#-;pShrYqQEtffS?^(q^K92e02eJNiHs6Gpwt8($G1bvy0vvx6!)
zd8J%6%$|%vr{s=jc>>hF)`?0#q=M1XLw6?2l#wL3hbr6vV9gvgrem&xmfI?wUv(=Y
zBZW8pv78yqNljdRJ+(1+RHk?5FL``bG|?9kWCjMuU36}RDdT{{9%KDMS?o1R|7MwQ
z2Dj6$t);anq0Rh?m1>7Ho?Ut#)>~}`QbFs|zPw6!m8aE6ri_FI!-?(PZ_VJ0F@Nqy
z4Mo(*N_gn;RSZYePYEQwG=sy8Nf#va6p-)k<&$I`VJwkisIA|4-%xr*o?cZRU0nOR
zUyKN#r_lS&@50RB(#*^~H32z%u3j<8J<Erak1R??jLm>3+TE(Mp@&VidcH3!xzXi|
z^LpAcz}sZ|eUh!x_`|&Njf)98uEh2hu|5DOuOE>qc`SvLzrG_X(agAK#njN-3t&02
zH!#VFggg@=VQxnm@Hc%dX8=2ZU)iCR0+Iwy+UnhpU!_Bd&c(O3{scT8ymozBTnssn
zP@Ag^*J!QJsVq+_O~GQwW+F*X1lviWzD801Xi4{#*fy`5K;FZq{l1}FFyV&I<0Chg
zXiIfW`jhr1z+y#a-uFcirMKaKH>3a3Y)c~O!*YyavDV_-xt#*o5!dFN%KDe~wU%6Z
ze%uJC6DF*JbNnd#fhT2A;xA35>rl&M!U!D98}dIr=R=PXYm0Yx|I#k)U?D|k8N#B0
zYS)hfUffTuFIBz1M4J$=_EDNM05O=1yX3)xU2(1vvEP<y=A#$x4emC88QW!R%6%@Z
z39yTo3|OI+75_5&{6rt55});a0#1zIBzK=dV~uuBizn@$q&`?zDGl0la-e=lHO*Cs
z4lBJHNT-tYAeM8SH;bDcZP;A?`Ki$(EsDNn*NQI0cV2X;uw=us$5n$f9-C10*4JB!
zA-cfE_uld4f2>%PJ5elllL3E52gj?8>wxQV2$wQrMM<g9hNlaRc#jstXC0^mubM}S
zV>a&pzJiwxhW^aBna%Xd(6~0--=eY9_L~KNeJo-u7-K<AMJG+s<Jw>~;*sk{&x%cx
z)>pj~*icdF{5-?D7VLPOaxLG86;~T=KJNeyyye*V<V~s;=mmXjznaU6Wz9Q;ZU}JU
z%NwVO)ACy29;i8VM2ZcEoWAU?Vd24Wea&P3NCi8=e+OSTu;IC4DSMO4yqKJqnf~0H
z3U2YA$9=Nc@hO+QN>|y2Zfl>6ATt$IA9LTnaESx=TL)=F4?mu_yk*@~sR;=?PRFF*
z;>0h{$yuDz0(kU1Nx;Eh6DDVlrP}v$;S0fh@BTA_7?>-)w@OkIynl5v+yWl7<+Cx^
zJ12y$x~}S%`Y3?hwNJkL^P)wbgq&!MFy<v66$>t<K<S+IwRM6IYd*fXovAL0C!gz%
z%bwcEkpnVkLN)kNsG4+EWl;=$<5QiYoGBpX@|2B1XESE~oIX9%D}hnFPLv-uqJSK|
zZR)vQ0+>yg&00A`Lg%lO&KznK5VF5Vu8I@H2elgXUX0Rs?!fj3>0}C=p?ehV)GUNd
z^<qa4D9E4;;i9l#p9077>+%-#gmL|9l6-)xEY?3)8d!9qz@+1kr~jUaU{llcY>!Mi
ztgiGvy?B8F#&*X@Q9H%3%)%i&Z$KW&A_Y^VItsLy_n9ftOW=nn7T!i(MfA)ScxEBG
z!3}9A&uV{^#9i$5*GjJ{;S(t~Wutga5c(r_UdTlXiOO$oL(|GQLF#+<m6HmmDCu{{
z9HcQSV^)QG8yU})N~;%_Q(@V6U^?1K23bOUFGl96Vq<G}8{a`K`1F|l=%anI$o$jp
z3b|JeJ^gl_n<KQrFXEkTU6361_bZ$nqu0Rp-vz7ZwRIqwEq&E0N*>P~8Pchwqu|dc
znKqlPbRjt;=cLF*1vD=>_sR4i1$8p^g%2ImgEJ+q`-2k{QA~x(`|}|MKaQrn?tiEc
zyQ4eVzModY)Slf2Vx1IBi*A~aWj2Iup^ilndzF!qr8s}0je-wS2G6_;FamFT4;C&t
z6%6zbC=D*5;I9u{DJqS|U>7uf!0&?!_OzrmTG&yLOPZ8Or)dgfM*OF*+mUf{nNjiQ
zhOecL{mW~(NWec?BZlyNGCtTjw;a!^j!{i+(m(bC2p^sO(OyT!)5T7qMdqq_BmGCQ
z^DIDcx{2H3Q!;W}jQh3ds-U-=qSCD+W-xR-LF8pP8IwW<W-R|GqKo@w&%~w;U)WNZ
z_mPo|T!o>6H`C<t5$E~N1u=7oU=Huk@=?L59{U?{;<DJ!@hf)IHgl*<A$e<DRYn`i
zVRq$mDLly@{)v9SImib+7+=j*!omul&d;~SF@Mv$@qJ$A5GcRG91^F9rm@7at5jiZ
zjF5ZjZEX%}k*iZzoE6ZU&FplelmMm|G#~vTVh)TaB4YD5%i~B~MzvoQFFtksXCT;X
z21TVe?mT=aixGX7c+O_9W3ji&x=Okkm|42D2c3{X$v+Enj*?91t#E~;OPGQE?B1^p
z^3r(wpjyYj6gqs>X3qO>2;e}X>F2@cBn&m-Z7BY4iS}9dRY-3Pz@Go+i(E`4Fr&k!
ztl-@o&Fm`2p-w4)x*YI%-Y1Hsi8?Q6v6HljhBeMjkpw*a`)X0{jxc^%eX!-fA0xE!
zx0<n%4@}|X;@+1^$wIjHmhqpd^AN3qY4`rNUna1pDtzGY4FRl674W$m(@*<r81N@p
z&IEW47^D@n^P`E;UrL?LciPgP`IRPLV{oxh-VGc1{_QWrs~x|3X{|M19TQ57K<{}W
z$t{5givpaJ(~kGiVqZU59hou&c~VG}`vfQI3!XFCYcW7;Ql4}YH8F%rvnMeox$HP=
zoyrq+aEK;jYL-AwH308xuYJ|7uwo?rw5lrWFzp%jN2kEBKJ@xq&a5;r;}-ocsX*3I
z+Sj|5GIeGfb*JbM4>Kmbq03Ki<vc;_yRfP!U9iC;Ew9?<XE*#K&EKEYKSlc(l%K=L
zq6hTDD;d|jH{r6S4p-=x8Jc->`^>3eT}UW!+HF5ik5b<Sb1L4>(Y6}|7F&MTfm$TO
zcN^1V#Hc~*wx&O{nq%%mZVoyif)=ed_vujht-uNG*+m+AWVv?HyN&<ukWWb4(c#!o
z%JCD*%QPR7`-G^OHW;R{aH_J?p|LXQvPk3#?I+9Vq5Cu~5IV=ANbO#yiRQZ}tPQQv
z4k#~s?=jZ`+ZBWHseyIc^+zFs-=5InwNjd}R09<f_G)wK3D9AQTW_2(*CrgOJleeK
zNQI)$A1~c@ro-<;wpY)EGob#l4@PT)nsDEBjec(x9R@_T-?I73h!e$uY?PClz&)<|
zW>|wBqo((%hFoPvTj{i?rCgeDIlGpQ?>#*x7<vEZv1P?n>s=9XcPVg4=BgUqnN8?7
z)WI4`V#i3*lGB7O1sce__DVY$&~?VCK~#hjS;gb|#lCC69QVZtJAx4%qmJ#ZG2q64
zNO{7JssY^ScR6$i6W08tV=Oc0#RsjE|1G7dgJk8x%lR|Rc-GM>`A;+-{-nz;{kE(I
zEG0YE4t-(4%DAqX;SD|d1#Aod7_0`o6jlAojr<Uv-u<)ERscET_Nq0^se=FYqMO5g
z?D+lhk(}$@f~dr;@53Ia3WhbqLSA<`@%5wy{r99Tc+f$(Y(-ubTvNQ5O0ICD;%l3e
z&%H!&Ay{l|M<*HdU%Xp*;j+Qc4jj#PZeo~GaK&ahj|>M_wsAF|=EH{pu@%wb5~v$)
zRcs$ghNO406)DyHxZf-L<icwbTBKZ5{T)PxG^+(SpDhCTM&erA_!eoj7_;9u6-9=9
z#KF3Umj!V~kluN>zYOj<c%<&@T{0xMx}U3+-GaMoDy7fV%VL4%jo}N+WO%vB1`9ic
z@tpDPrUDar%-R=BI~1x4N%6EmzW+q=$qCr4^G*S$Im!(^gw$Y8qTsT_O>w-qH1qx5
zJ|&zD?$3%ISAz<6#k=eeCDFULvwk;&3hp?b(qz4;4sMi5CC(5jbP(Tha;buhnPJve
z86*lgH1doUW=Z4s|I#EHJk+q9Ip!PX2L-M~xn9cnAcMqmtP<0jIvTJIHPwIAgbf+E
z?qQL`!)wNk^VSsP*4~yc)JcV$rJP4OcJes7Mf-Hi8U=0APB1R9X+sXQMNFqEU`f{Y
zG3$IyJkXrc&*8JdYdRlgrkfPet78mJq^PJrWz%chqYL-#vhIkpE2G%_W^4OMD!w}W
zmhN7dJ{)~v5xquH!JU>$j+zBjY_>nB^i#nQauxn*JDZZxUL<k#YC09KE<85U8#Mx6
zt++o2l~wUuou^IhRw~ZgWmH~&U;=pgXv67IRXm~LuqFGYCQgp<e3A?%z@m+>#`B~a
znul@xCQVT=Pvo$CS293h^LWso_i6}FkGd*<(!jJ|_DX3x&EQ{+_TR-GH596i@oL?v
zhK#03B85w4uo${Vax7QF$fYWy&u3MzxAmS@Nt`)c6rL|lHBdvz%H@o!#}(21TiNQT
zDRb~B{TnqAr;4fkB^t)|a>!X8Vy>@i0k?7slZ`UTxUTM@_)SI{{XGBZa=2T-qjJ*&
zF(E3*J7|B3Uqu|r&2$|G9u{y-c<<}uQp#9Z;%Ps4ObBz-tk}sW7QnK=bKp(6BKmfg
zUUt*xLqqd9FB4`97))@oj+Rou7baalPHD2C-u+Qa>lfzmDP)Ume4HFY<82wTE<LuM
zxWYl&XAWuaugR_dkU`h8F3POy^R(#;gYw%J%s{$V>injy(nvF@Do|e?qIrriTGU=N
zgBG`oPCb4ky!HCbZuXo<v@Zdp4;%T-U^rt`D8pSG%kJ7|oX~4020ATIvF2^?7Y8w4
z6efbIp@O$G^?nj~NSEh;B0wZ1%U`5g2-{ARI)eiy2#J7(@Z19geDGs%`K%>?wqk$u
zm9wUau2!16cZ?|v_F1df_wwQJwuVQJ^s|IS>3t2$ViQ=Hste*c!GkM_#wUi0X9;Rm
zk;upwW02f__TlZT9B9;$m~{B@ED`xZCODqX7}75UkeK*bv29=eg#gD{;@Rfn6Vm!d
z5SVzG?eaJyCfzVIZ@e`_)ZgyQia%)xcRk!)ip4jfr$&}`$<t|K^U_D{u$KnV{*1kA
ztMNLmGBPhP$$g60!<)#H$!q|{%=YH8Ez2~+LzzEVq<<6oZVb1wUG;%SyKCv|^a73S
z;F31>eT<lJ-DRs>p$B`WESgRx%+c=Wiagz1{EJW;FLzmH(}Pksqtc3$X_}6Zp^{nb
zFp=Kp6I^#l7g$`s=?9FC(`F>>^tobw5KeCjc(#7k0YB;UF6(|HG=nhe>xR-nLe{6l
z(Z)~*)_8U`KaU)unYg%|Fj(p*zIZjA%_!A|g_sWJZh?N<`FO@}&J*8>J9aJBtD@Qv
ztrqBBWY<k=<TBbcLwqB6F5D4!zoG>}59-%X=(W*~G&h_b81EuJ2TX)t;Mm|S{oa4!
ztzT(e&MWTDzdHyX_F*m8OH^2Ly~a7f_krfXCGq46v=iy6@9CbgQ{jr1ymZZ(T3X;-
z&bB=Rtwh8s&v<;QCLC6Kl1NQ@Nh9+P$#4JILY!GhUHos0CcJZfzcQ8bkhbHQ$N=YZ
zGg1G_qM7{;1%5v~UcrC)Hm&$e^|qM6X2SiWb4s!%1vs@DCuezsX#!0@;+F)Q2~Xyn
z9_@=7(6D3KUEos|@$j~60ClB_m{Xj)XmVd2zBE-GGd)vEQ2vx0j1p-kB+6Mc*uJYl
zNt4O@oy?U)^VxmU&ki>eTYV~ILip8S(>D+DnL|&BTOnOf1816vN7+ps+qbELQ`K%}
z=7egZBwyh9qq{9cMnQb-sU$Ll<v!{?RE@;i&G*h;8Lh<rrN$ktUsOP~_vx69N-fc~
z{rgbw!!~00!&41?5fwN<zW<t>{g#L`xaDlm&_OJB@cPCDC__XXhnN%Zd!jqyh;B$?
zCo%AVhkWCO5}3PjWU1WvKm=_az5T(qn>gbBf`1>s68vflBpNM06IK25*DhIpBZzj=
z!o8!4@Z)R2L?+u;!nx6II`8av;%fQ>p5QME&|j$kTsWbLh;*z~_d458$XvAJNYqw<
z-4$K4!7?pG^LNH-gTVn}bf}p$lqU}fpW;t#?QJEd^N*GC9~~l2GQ?8+IOM^!`-}al
zSM5aAgA<>x$^RsLwT~<=o|c1MC&bt(?>h<h558{GoFl~1NLHhySy{;DRHlt>>LDJd
zW_I)_jS?r{SnzQL$wI3A#OB=Ny@Yw6@O0VPaY9jYl6q`Z23Tj;<UM%%i7pYv9#?@$
zB8f-UxA>3@aC)69x|J|M+$W?D*hNee1$@C%WmD2{z9RU<8HJ7gwqB+j<C-NZBBQrQ
zMo2@_?#g+M$sa^GML_cX=Q%?5^zQHcOww>j<gk0dk71&xSz~_n)gQt^Q~mqdYf{i~
zky_%wJxT~jj`NreEfQuPko-|u3WnPiI*LNZ3Cqe~=B^gY#G~nls-##FR7li1yx!RF
zY=q@_*^d=su-yMaN3|pz_-qs45Is#OZWS{2Y+NT;c%3$htw})8^&dV-VzWf)dhKV0
zSb8|f_~xjOjRchDK#BLz98q@q@J#-821s;1U%K^%IPf{FcV+ebA+FVyWgM|#g5m-D
zXPL`l@NcfaB#P}X@n?67%}^u@>_49NXuF>ne3cmX8V+41_*M26eH&o|zf-Sr?{$j;
zr)TZL4#`#Gmi{}tx7nP)fA2`=RxeQ)ZHN^-%ti+evRk<G(|N$`#&8qQya)s-2$U+9
z(?gzdcJiiRJ~*nDWEq?*0{Y77%nza%;QoxMvY^Fgc>T?L(a%i;HZY3$;b|r)?={_b
zaH}A6yxo+1U0no>WHU2us#qYWy~8p0{1zzsnnk)SBLbAS<`OH4>>%#n`s&nz2sEvq
z^{Fus0kLGGM^Ab=LCx=<@o<?qtm=lOj+_z!|3}<Gv>qPt_w3{^y+eY*y*!>GlOk~W
zl|rUt1|Pg{oH5J`m4@)+Rx9FpqCm=@K6uT4Gcf9uJH0TFg}2U&VTI{paB;Tw%_e_A
z7@PO^O;(bJhZO^YSNp`F+}~%h{n{3=&-}ohM<~LFSpEY#S0sVjO6FZz7J>bB-R}*~
zDg(#VKh>9erGPo?tmB7FaY)-a#5XrU2G--h8K<60gZ;A;S1J#YAkoqO;Htkmi22;z
zOAV9-g@xKj0Y=i$ENdEUc%B0JAK&SQM##egY3|s)Z!(}3Cbjczn<hAfwx~1wQH0+w
zw<<Gc$pIykv&Kb93vwq8489syfj!wGNp}t?K+NfK_K_pnz+Q1W>282J{CaD;T5Y8S
z_ne=~M`Y^&x1>)FzrH3I%Dd7@sH%Wrowbm1mM(a8Eoa)sXhFTLNcRx8D*Uq7+5Or@
z4_vO?s&41g1$`NE<B@(fcz;lZuc1Z{Ze;$xb+lU_Qf@Pyj8D^mkRwhvF4pV8A+-y=
zf}f2b|42H<UZlXjYNq{%ob({VLR<4gvng!N54SogtqD)w4so)3>4Kr9+@SObK+&9M
z$H;~cysxc^>HDb-uexZ#Y&*?i7rRsTaDyhS8tKH#&r%^#RIY?M%>r`l_!!DJ>Y3Lr
zc8X?Gphk(NT%ThJvv0QW_$6yXc+C<meT)nrXTPMj_*y~zvp%(aeofHw*il9Ap#TOC
z(%y;vw1VMYac3uQ3V5BfxqPBt3OwKU>s^twhQywu`h$Pf;S!HazUi0{Ocq#wuMo6`
zm~D~n(*3GX^@VpXZ7(~#@}HWPYPEvp$4N(7lT=`B^P!+Umu88o1%rYGe=AV(nqqp&
ztpvM!L+!%f{h+<NP!-?WVF{;<pExT-%fnB8p9ijMbQm+A%6CD>5*}t%&;I)@1Fv6^
z+iGpt(ZAG_V>Q77gl*bWz6DCb1dXn6u#6YY>3rAuy3HY_wBoDRiWs<&Nb^a?n^DuY
z;`$zSb5Jteksfwn3;YiN0RR6Cmw7ytT^NQ@wrpc8W63(kjIoZHu@BFvw1}h<NoldQ
zAWGJvY)Pn;2<1a*6Iqj*C$g5MQrQxvRUs;s@Xf!^ALn=8bIyBT*Zo&?F!0}E1q|@}
zFZaX=E|@SjF6v(@2Mg5FH;smhNK;|#srd#F&KuTpa+HRG<4s+rgNj&uJ>|xLCxD7G
zuTo7!6t?(HyX-O{p={09QBH{++-y@RP4yRmqAejUaw|yaT<<Qh?xrm~W001s_x-R_
z_!y-;Z%o3(mgc6y1`Ze=s(AC2JZiVL@9E4wArih_W8`$_vkjo|3E2s!Y&(~*z&#(@
z6tQC7-}0S?4H#$BU-q6H<~4boJpMdG5x+e5`*>%UHSG2titrMj<b^)|cwcF|BK`?K
zw&+oX6)?J9zM(Aq;w^k2Ok`UrVkk?M{YlyiSX!gS4KT-Z()cxBLRCb|)#1U~2QA@r
zX_)w?P(hrW>v`g>r-<j*e~&GGYXJ^&wAlGYi!uCjO3pY}5rw~mpYHas083@Y1_Lh<
zG(SI({v<>Ze;yqiqW77DC$-dZI9Ut>M8Y3V)GK22`!CMhz0IMq(~|6zu>>PK%=*SO
zNvKM8^01gN13#bJd;6m#(cA3^S^5$Qn>vRhaudv;EO0K-V1qOcstX4nFjvALvj^Oh
zWHXrA@FF2gnt)64Mn6h?QNn9>Mk1<hY;d@FgF=`j;I|Vdbv4z>IJA17#^EqFSUj$e
z?Ch3B^(*_=nCGeBbqC>sA$>NSAod;GR6)d|sx{v1JXMtPuLv&u%z~R{J=aIF<#6E2
zU?sPDDO!k-^YqGCutGAcXkVf{<_FcPw|`W_w!yh)AC9u%%V4x@S)>BKS)Fx~z|g=4
zhK$EMJXmmI^?|3l;fmNKZ~7~3l_oyf$2h^@u)yh-RhMKe2}Nq6mwGJH!mrz2SpCyy
z0a?$8?sZlP6G*i~O08PxGVh*nNS6gJ^tdaXca(7wmM*lM(?;jB8H=|XvS7CGmwV@s
z3QoJ7aa+2VjAxsr?;YZ@K-SakOgL#N8mUE9MLFo;ixGz5$z3dPi_g``*s6x#i=rzh
zC=`6j41439$%5m`jTQ%Qsbitn6*Co4U5qT*_oK9j1(`2CC8sRbM8y%2%laR6F=F59
z3PlPVt`(N({HWH%*)bEz!3HXhC*<}jB(lLQNVIr-pBDPe5|skZ)9^^bLfy;^8;Vw|
zC+ShNu{|n9I>$>7kH@$tKZ-O1T5%#vY)BiYXN3Ho$kEa6CfV3n+8m^NwHTMrkx_Ok
z@!*n5Itnm0emYie4!=5g8`Q1V!Ewg*c0)^j6c^jwczTxw%zydX`*KDH&nUjrmCo14
zWqaa;u4r3A&k?b07I_q;%!a1azt%^!sdxLrzgj|~mY3LfGhIC8dbqfCS|3}DOFtSu
zu!5+Aq9<n_>S7u9cz^1kKC<qy61Qbq!;rXX30PB+FsWx2bxt4iy7Q5`*9IomlVe_A
zqN0zKh|F#^ee4`On!d)C16nFVf@<HW_+7bLs`MZo#|Lk}*eGrbOK-R4muk{*W8TlB
zhx7Ds+pmPL&s%I^SJv-!jTSVFstxhXxk$sXi(Ag59<l?fpRpI6MMK)jKkW2_R4lQT
z%kvNg5Q|7$<VU1o0(q~Gv9T^Dw~MCBtOAfaq<63WITcNBtm)kHTnB^7?{2vp1u$`h
zP+<~5MON^Jt`h-dd{1q^mQw)GFifGxE~et^yKjBm{%T?Ic6!_XyZrU@ln+XV>*7$-
ze5zQQCg!KgvbQ$^B$g=0K6pvNP$~A+9q#J*?6d1JK?HEFy%;`9reH+pX3>gjRh(lm
z60FMr^vpC4O77CZoxWE3SGda9b-P-Ic@DsOg);q378z|q>&h(!Ntl+h@{U<BKu~$L
z{alkanzcwg?))o{;Zuk6OYDJvZn3r_lUnExBFgRzIn-96E&nP7fZbf17F8__*ZdN9
zrC1i7Quf&1zG4Rj)=h>NS8Jlf)9JG<ZUp?bai!LJnjPGEy=1Wek2-Gs>2t3qUK(Y?
z<81%^XA7P~B%l5uHT=ZXs5{;+iDxo6tF9~Ag0Z}caQAOjY+7p;e?LqDH?3M1By*Aj
zS6<uh%gIu~x4(^(|HLjqnYSrx^JZ-zlGrxk@2rfQx68L39~Q^iTfNcA{CCp4D!2HF
zx)S>Pa_DbT#j)12v$<=)8vcHW`uJF!gqv1u$dEcBj?r>=hL<^6Ly{A__m_+!{x#oE
zet1(HgR^cKrK1%Xj?F)dVkn^2cyD|paS1M*6O!PVSwT~)+>BMAJQ8;9d75>NzaOsz
z4=lBW9MMSo-X=MGf9=lv=KT`r+;`G3f^G=`(<7sg&E>FI+4jZ@4@pdTbJex(ngy&~
z>yRJZNW_yjPfgA4l|p~lOD<0gEa2IImKwpIh<m&BoDUaB<6&W~rBfB=p!9aq_nQt8
z%QjBP6#bS#-oD&Jd+p3&Q%%Qir$4e-Kq+tI)DqCCPc->(ml=F$ZK{qLmBrQK??WJ7
z7XP`V%WU3l28XG;fAqbVMY^fg4L5HhRu4#Voafn)Q6m-C^-mUm-djj7T`PxrPGJF8
z^4Re1kfzcwjfkw>escM%<<XSwQgYj#4e6~)CWQe+{F(F8IeW7LUUYX~-tdhD@|Qk3
zH9sJtP`~OW+F?a}S7mAlmssFzn7u`kCWqP8k6edJNVrvY(Ea>o7E~2K7G7H{holn|
zR~)}7VP(i-k}Zh^+&`)2`_1IBO|_`$$8r@+vW#8#V2BAiLC&c@1M=t)z9wW@nJONu
za=CP~lnJTrLY>S^1*DY=NQWD%q4iAzZfOz|R^_L=^?NHKDBrqtp+OzD71mw}-@^oI
z@hsP!OTzo-wzikDH1VNoVgA$2Oh`<4<66L0LUy*SV4AEJuIS6^OLJjD%&V9^nH*)z
zKlk{G+l&@|P`r_uxrqr+7e5G}bXUQ(dY|;^@3rwxn2^qMKPGG%%kEy8q>3#W^~<~a
z$k_BqLuy$v6AVsTy#C&@6icp$H(urE#@C4NZf|Os!1EJ#npIZEBma%~XLVC>T8Uns
zH^T&x{7+xyqcu=)W$)#M4qZI%+(FvCiUnG0o4X)P6J!5L#Fn;FaW&)F)!FMTNESDc
zImXgLuIu`SSM@ZE8{Zoxpvi_Mb1!(l{C)3Q<}gLPqK9*&@Vw5eY?u!Y{c3h!8-*V}
zvD|r-j<!49!}r;nLBQu_?xV-acz>5g;__wsNT^fE3g!F5g(bbkqI@oVx|W{uVvL{X
zvvz8KZka=VH9ccQoPr_y7v;=_7+}DU(O-w7Ex@{H<IWw86ns*&igo9i0baDr^yIl)
zg2~*2`-~7>+}KR?bPzVgT=MzyPj*(Yet${G6CxE`)tUlZ_;ZQ8HNx&j*085L;>NiG
zDynZQIq%(VfIB}9|7hcT+J)4_?{g|NG>RsR*6%dH#EJJp2V^+V;ptR*EsBO3+kWiY
zT(6JP;{j#bzd5jX+NS>^((qW5O(}1Pj!mC-T|Lud3r(wR%Dq3*@YOjn^XnaYc&e-a
zOV%YjusLT`$r`8O$D{`)@6u>^`r4jpD>^^_FMZX}>7n7Rv#F6XbSheFt@)a97$EY?
z=OB%28oFD?d9Em-;0K*gzP8l>av>X|g=}dkYi;o<K~4uN_ltIL-UFnOT=h;pqGCo}
zR4^q>8~q04I7=6EVL@*>+u4|kjTt4$%zjN28vc{_i^v6H`<VH$I9*(0|AqPfv^tXS
zrq1o<&!0Cwmi_X8f&**&>|bT7;@;A07m^lnLE5*kGIvY|6BV@69NU%9un6xLf8_I}
z&D5b+LI=0zM7$KWQADfx)#Gk_zIaD!>AxhC@rcUvf|N-)oN5tXy*wS@*8L+bMdsSr
ze0}i!iZNNdx8Qt&<OZ<AN3vGTQ43Sfcx(|eB%t2z^m#u;zRw5DZt~rsiAqMv+bjL0
z@Pet-ACE#ixIHZP*>_eQt>&cS4*y$%waXM#_7d$NOhawO$Z|Ct>`1cgmK4WBnG)Mp
zNAvH+^Jf0~LRGx&bc@-ZE{bR3C%3$P%Yo}RDYIkBDrgkjyrMo*1mpi~mhWE4fzbiQ
zjdC}XaGk8ruXhc?C~uxf+Hunc)(QBo400!-)UqR4175-y;hE#~pR5gtEN32FOjbl$
zYH`pwR~Scxce)0ITf+s8tBkXR0)Dm<9$DurjBBsPL~R?ff@&Yl18%bN=rXwapH-tU
z7Ti;j6mhbGElRIwT`W1&qSKld){EeRp7Z+FdzO%Vc`Q`-5D{z0J@161MDb!$*6H7d
z{JC;YQO;9Yq^kdJs+bVPPvXqJ{z40QSC_HKakVVsr{?|9zr-*xCY4vBW&!EJTg@E?
z2)JUhF!YxC61-#)?|AN_Iqd0t?sz_tfMbDq%Kp9*_`_I3qg%}!h`y)d*Q_Dnyhmwc
z(i2I1mMTC@E;55Z#b=F<QV4i>lWXNk7inz1AGGb8u^EiN87kRDBH-rGzv*#PGH9DL
zew2x9$eA+kx78qE&(Xg@;e7;*{Nece%qBLpkB&Kn*bwl)yv=R9+GH_PMsLHKNftCj
z$4y5C5|AxyT2$CZ#5NzeeK~^#qr+YnGnE7sv@A&Z(=Uf*#0c64GZxsd7b?n?k;MZc
z`UST0^0;cab>PrDCj8|+oQET_7`G*jvxTLIQ?9?)*PLfUyv_2+=K@3&YbY2pKSIKY
zry#Alo(W%9u9x!6BI4CG6iWS|62=A@X|d&)U{9-@n&QggUEktewJs_cu&S>r^|dKf
z|2t&SEFh1(+4ma;`&IFAzx;`=GE;bLwR72$9(fF`yBJj*rG^)-E;Fq=WeWMNhT6aH
zDd4Z}tL=_V4Lk_<Rn-rf0$rOG|EN|GGZw0ky@=IB%ZZVHBYvhZVCtiNzMX{rOLW%D
zhiV~Z(a&r_{`{oXsBh$VCDc?4o^B7~=Wa$<Olqhp>@F+Rb~jYPe;NWb(J(R|rbxRK
zrkR3uE1f<Zql%GdCpQJe>tNlAr|zM5O(895cXQO+rRY^``h}29!TJZS6~;eJq3V>9
zsO1)Q6xy7<DY;x1PckoG7hT2#`O#nOs&^W=#)vmr-cCi!71T22A|{j^P?<UQKohGI
zMY3v!X=o*uoxD?-1swB_1Kp>!@cFK8zlCu<tTH_7UQ)<{DHqN?ojuyPd+dEZZIX_{
zpNfihEMtS@-*a}6E67-%qVQFINFRlMJ#N16o6nbp+Foxh9c&9El`WJTV71SA@s0*F
z$UH>0{QXx4Umi<&e|@(h)^IZRKfi1a7aBagr#dP4=b>A`<#9t?i$xN385V%WhhF7o
z>+*Airgd_a5z3U=jg_ZcLaB<<`6)LlIz^|26z?^{ja!elEXuKhI;M4MjSvlEDkK}t
zU5zm5#o_JpH>^Q%GJihr0^jGI_6Do{HbmZZ@$%^VHsB>b*LYA~4`;@E(B9J!PegtU
zV?XA=Q&DS`ts#1N_|ow#iD&~P7krK$>ac}#@4WWUmFi*m&bZBIy!7#I<4zYDo*i_m
zKVSW@MGsf~a3GZn({aT4ee~9~0H$qRmH9e7%zpNMMMpFZABg6CZ@3O{r%xbKC0P%h
zYo~pE`Fv+{zcy$62Ke(t`g6W9e;uQVnFEU`m>{_*b~}p;(X)vMSrs%agH!G2^~pGH
z{#D4`iwj1>*C-hZG!#33le*ni3q?wn4@89Wc_DIqv(pwT4ulp3Op9pX%)7zo0f)J;
zC&*gxUV<)e@R_}Bbw(ARD81_O+QWt4bt%>bxfDFv(Qw;pvl8YHo(lcr#0B^Hmj4zP
z>0laZ3C(Ax0%}{d>Qi;N(5&x)UoVr<aYg6tZ}*5eEL`(yY8)VBPW=qyf;JlbX?;ud
zC!op>`Eh@KPkE>xKIEFFg>nbdmMrg*M9TiKThV&}Rvmhgu_Z|p)rVXw%@2rU&^5b-
zpXvauX~zsRr8H3ScihU>TOznq%{i_k-wsj(FCHUns3Co0NO4cZV!Y2SdbIYhEo5tG
z=xeP~#Wlgw-bY)7_<XY;E^@U6-CDv<cB(S=G#c#IOBKYHc(KLB*Epb1cdA)zoP>Ld
zwhEiq2;en}QdqqJ2Tm1jPxlT|M3J@=X9{ctQ1)kAgqVj7yq(`Pz>!tJ*jvY(JqZGs
z5fguOXN5KVanyb>_goH35;^{-r~(-F->c;P1Z&_VoBRo{A>wPE{#Z@80De2tsrg^9
z71VEO*`Rq(7Ue5gOYhAJVD@**0{0$E@G{X@APo_44R_=H?rVbB{<q-XQ)^4`X^1}N
z%+Fzh=5R`6j1UqZ<?iBKwSb%5W?!{trLow6t+gj)5rz<MIH95ieC)nFXFef?sa_)o
zd=eHT#KhQ!r<lX%_#0O?C`qA6$6gtFr7%vXFY-GoWDcp0#u~Gsl4xykX4qv;1j~2W
z2~Qj`1Lti;4!sK!xa;j=8>Y7yeuxl=8d+cic`>>GRzRu0HQ$xMvYw~&PY1>ENPytt
zg9&Wtn!v?_mn87=<?{m%LM2euCCIQ<hR=)17x^J&5;*4TI3lVmg^tqtbYXrkD3FjY
zq<@h>*PVC8C_kl<c4)n_2a^SZ)!kO(j*=KqdF*cJ0e-Li{CM5pCrls>5~sfRNFwpL
z#dKvjzt=FU%4z$U(Bmccts-8Ep9`Jyv8RdnP+y#4EX#!R`Y!E%wn(GFfqfN9_vP?%
zfQF7wy(yHlZ>{OrEQ5}#R&XBwlgC!8Q=uk-rjYYkYvdk>fCk3Qo8Q(eV&TmDSrMu!
zEH3=1Y5R_V>t0B#e|n#U-x?$z1%G5ffci~ZYpyI_$Zhtk<@avIj`>AP${1jOYQ>SZ
zJw)_w7CYKHq=FBkD!2)83}_hDokS-&oY0aN{CjRGRvG*3xV4o5?nVCZ*$(npxHQ0G
zvA;TQnygRqvuA+r#+T-08x>IT-+{CL(KRul$}hi?$$)jX$DK+e6!C<`J%?vTT3FCV
zw7SD!!0?46&Fm@?zSC^(umEkePWC&Q!(qUci~EPG#FUY~!!=xO8yO$+;>H@>8SpK&
zW>7v<1x<5_kuFI(Xq)UCej%O#F?(IYVt%ONjqA24vUL;;HndgFX<&eB)yiqNR5hFr
zR=E0OS{Hw<Tt!<aZwk$8qwLcxHSqpHE~lBn_wKmv3Ck!`Slu-dZxf@58>8-)1_$Y(
zTj*C>({EGw_Vwj1PhTw@3E--HxJt)w=U%q!r!ir{)T=DnO&fLQELIX<=;My8h?Xrj
zEVy(?;{0t#G8W#Ay4W{ifW*qfub(VpL*>_xrL1K-s2@P-qE8wkC1b<U9iwb;cw*!5
z&60v{np?N)br|78lHrWWYcueF;`?E#fi4>Qn(K$f7^Clf!j>Ih&A~j|qa;d!ilTOL
z4cRlsSn%4wM^MHRG#&=uTKS!d^=(gBtCUUf_}hmy6JQ0Vq`=Bubu^51xwFnv&IAuW
zJ(~R@+8W{lAKpK{R}VM+sSPsfFh)a16Lp(<8(0V`)AL)<!#lB0WbMetm?d}qB+hW)
zoPyZ{wF7jV;zqq*Lo>n^aUC`RR6D5hn0et^Pshu@wuPN~V}Ki^Owvwj0Vvz76ua=6
zj(I|}{lC`fqpJo-B%uJHPC#zg)n|14S^g+~^0*#e8Qa&yB5<K6?A5Y!Idr_fFGaE?
znTi`o(IUhAoEPzyG9P2p@p;cbcJqD;zRCO`ee*UKJVn&TuJZfg3yEdw<Yi=}w~yM?
zyyn7^mis*NB;OCNo4oB+(!zyP8*7w*a^b&MeoC(u`Tb~~x5jE#4f{uXe|G-j!ubBW
z3#OV>RP{O0tN2eD*M0E)kvhtSbpwI+aztHxse1D+Yn38qx;U6;AQ%3bj&<Ff(!te5
z)wcMJ@5@PF0(PI`!uO7mI*nE`<`~H}MShV%4|nI7GCq%Vw<;vr^7&HoIpjaBM@z8&
zOPsX?zc<And3Dv(Ukh`DW)+HjMKJr@^mP9nfCZn|WGY7!FU9i2W7~w#`VbpoE5Ojw
zPZ!MC>c|*+w|Dr#0`HQF#7b!)0EZoxR^LRIVr^G?*bb9fo}TCA`y@v@=z1QxDRxE~
z3yOa>&Nt5R=B-B$(NEjL)dTaTS4EYO^S6HZ!ls|RT2Dsc$V(1nkV4mev{FR2mv^FN
z!!%Dwg~F6q=K#~R>ut>$dGsR>uUYeXiq|T3&$7+W2J-)N)+?8hLyy;V#Z9-ScxDQR
zM($QxLn1@9xuRSa6)`5u@5dBRG%$_6Ti6=BL<`di;d~Fb9X-J)ndUkF*Z4?zixmXY
z?GL#(N@K7>oX=F%51uF4)LXK`5~#_+r#StRxU#f+*-GhOJW{rN;AVm)M189Noy(BG
z6O_)W_eC>2+glF{MMEqg?f4}<sb+CJTkx*OIrtCHf>3l>v)3FRUszHimnnvC&)wc0
z9WcvFPkcoxus4Sn%MVQ2Ul7Fs0_#QQ$vNK7?9LYn<!12trp24}T_Tv}&LkH+U*M${
zn2kTyF$2%QPw9qcB6vAFdksZX5R(ZC>qBzcFyl9oF48WH@fp1`-Tp$@xh3IGq!Jq*
zL_T9}NfyQww>y;w9xcK`y|C9~7g#__sqOw9D2!QZszpXDVdOPkuJ2M~L7Lm50P$#H
z9IdrZ%e^at%LVVfH@nIN_a)aNB}#>{$#<hxg_{^Q>-#OTU^5|E!3|z562X5jf4cLe
zmSBV7?)k|UQ?RT!^C~x51bL73-@1=Tpf~;YLeh4=w<{k^eM=I>*Iwmf9z9YhYU_2;
z;2#6dU*jD)_Cgee29nM{`z(W$n5+8A`3yKxdx>|oN(|d?+X*HRWpP<-+0M)r3`jlJ
zINe?=j)NN}bE}sVF=*8-rRgaX_-vdKQu<~I&Kk<7uQ(-#UuY7ZIaf?z^A?>J4}D2g
zSRwaJa9kcI8ZPhzcbLGVnwPue^Q6$0<tzEnUlH$rhJRJsCg5kP$K7rwgK}G~>s%H{
zSa*#cThnU{eS?&QuxJA6d?#t|t58OctLq7$7-Ohvi!@prDvK`Pjx4^JsESV7m6E1x
zV<<gX-f$z9h<7**<{^=4csMgza;cCpc<;_RdcIf=)BpDIy3#dp!{wmvy&sHVyFv7K
z@ptkVRNP3r^G*|Yy3Vby9W??Ie~qGPOGTVc6(n6GXyXBWY2~p6BY5mu`AF*q36I%N
zmx41HsoM`6;aVF*(9gYO6LV$UsC57FgNr)&$6@>Q>KtPb(&LI8;Pchz>{8cLGZd^^
zxvOzM!34(I1YMtAUW%tTa27naQ*mYNwYp;gCLmq@<6cdSIzD^<b9ktWhJm?#3X%OL
z;2Xw>pRm-#kWF8X)hwsup|OVjyL}ii&pA7O4z%#N>q&-1tv;Gv4cu-bX$n&b=W6WM
zYop*+`E6^-hS+nk@o{{&DfFuBzVRr4jF4g{w=2d72NO(XPFFBtahVjsna@{^>}#t-
z>Wy(Zxi0s46$@s+(0i6&q2SI|y=$lTm|%Y=m)Q4`4HW9!H-`pYRJR=Uk9lo^+AFu|
z{+2ffo^<DP>PsqaO4Up{Z^FP2WtC@S_gjFtUWApvAPs*lgzrf3VxZPi$M0VKmN2_l
z;HyiA9=>be;CX5r0|jQtH#fOiL%)=kqje!2<<A!7$Qv_|G1rpM>$QOo9haVVx#^>D
z$>#yq6B7)Z5bc@VYzs-{F6V<r^zr-m_Hqu}1ZxZY^zGa1Ah_c+(TZb$tqJCt+Py}o
zczxBUfeZj<_((;xj{$D$IqH=9#Q+Wcvip4Wxj@jFw<B#fK+yi|KYyE!lacF}7Vx=~
zw^pK{g~0EJ;R!n@tY|nB;lcW;Y!B4K=0oex>ZAS?uO#m>1$R__tW)r}2d7}k(wGrC
zI{uXLcAwG42!Dw>oosuch+bL!na|n4zovb48#S?y%UE~wmOZqD2_)A1prN&b+qC%w
zRn+!4_A}(FJxINMXRFgfMY`I3`__I%tUvvB4eNwGyg4e}AbC_5ZEX~$T9S!qbX%y}
z(ajz__pR%X(4nBtp#w+m?36+|)9c5!5$z#seR;DPkBsQ3hORXt=;cx2Pk6}xUL~o!
z(R`mVT+%p1Aqe6k-)x6AA1(y<69cO!`R@%gK07r3<`EicN7EK@LA-LPsYX`=w@mbE
z>vF#HZgjVfj^_dxR#(wm5|-lKP2=wAw?FWH{1O_SV*=y}8XZm%R>9LuNtf!30bZl^
z5$}pjJCOQkSw-akN84oX&{suv@M4EEPXssEf{tnArG^LvtWPi7*%DRDldc>0pP1r+
zU+cg^Qm7n$a+GxI>P_cuEU$9iM&-cf+yr-}Y*{q8&saDapJ^8uop3kC+XmVrwtjc-
zkwF>xWSgkHnRX)Q^>ym=t-;>QiXQw}5{F(KxxDXpEbo5+0096043~F2)n6FLubJ#@
zvgdX0HSWE3_&!{fN)$@U4iTcr3Jp=A9hHU^DUm2Lzo$rKgb<Q`Mk0G;kDq_f>%7i+
z&Us$1&+~rAGoN<d-){hoqx{Eog*cH;{NuiBKXUQsZg1xd$p%39-uNr!<rZ`zvSBn~
z6~`q`<`E;p^g+Cp@=GX=4M|EK8myH3g0CN8^&4x@11bIIL&do)=;Di28?VAvT(stM
zfv1ul{B|W(-sWdU7L&7myFPW|K9gaA=#nm|i7bA6pG!bJez!{|m44yzjtWangE~+j
z=;qNw*ucluYi^nU*N>~H>~{Cwrvm}4a}Q2%tl`QY)o~nVLwHAgMyq#`HrOmp(~7)T
z@EL3CkG-WMICMMD<SJ={t>YJI8L4GFIeT<k#B3a26-(9^eW(RnzxU{uY+u5o=$7sG
z0;cf0zt8=R<JW@MXY55?ofq+#mbjr;duMRWseNNQo(^IpR;JSa1)S=+JH3E5hr1^l
z2<vmvfpfJkhMcy5$DSTKkwKovljpST4&0!Dk!0Yjo}>l*oaopQ7X3xM<8E0rS(pa8
zhWM*ow19hWm62<3TE?r(?Fk=KsNkXAGoUHCh)W;tHF8Z`#fLl^w(_Y{p_7~YPR8>^
zJWp|S_$u25KI0`#5I~v`=+)Oa<hq25E_?cG)e?|u8>zMFkS5%Ew6PkxcNssctE5z=
zz>K&$E{Hzq)c}-5;0$nG!3*gP!tM`P&=KytLLjaILc*%yLC;t5k}}ptBULt}Um0EU
z=9oHsisuZhkXpy>?ru$e)y0mUy1#ir$x?&SYnrclYBq4^+VFQfb2-q+z89%$ixiNK
z($7B9LO>Ubj;(Y(=R_|B^kQReDRBLErH=6rCNy(7C@r*+8<juP6g4d&gE5{Z;K9s-
zKJ{;X7$DDwxcd9`YE{T!iPz6pn6o0O`(eh}?fl4Rk0;-^R1$n37$1wsXG3u&PP}Jy
z1W-UfOqnT>VB%$3p0ME-RO@4NM6^f{Q9Wn(Y80u0sG0RIY=Q&1lbsAT?S#>K=F6wu
zwyLlwQ}%J9juSng?vpq!DT)?C&))dTtO^gp*J`a=xzPz9R-+>v;^=}Ak3`=GB6zk;
zn^tl1A)&qngKVkoXxpC2aou}F5b^C*@h;;>3i)|)RZdc<>q5;_rwAhKrJPmf=h^H~
z-$G<dqYU!f5_;A$k_Z`f3{7%`Aj*|XH#60dLzZr1l!#;^P~GR>Mso_ISnB7BsVDNt
z?Vm~dz;`0dAJL(FDiJ}|yJPRINGT%r9Ts!^2CDG7XvxYwUJUtMiWdC%P6@eh&FoXG
zQ3XL~G1c=IB+%`QVdv`ODrm>=a{HExBnaXgeEs&JBnn8JHgZ!^McmE&)V+aZn6<O~
zJJTVJjFiky-kK+&Q0<@w#WV`E(Chu4Jd#EDsYRJ9Efl2m;aR+_fI3Vko}{bw$f4MQ
zCISCEb;QIF<7#Qp0LALiMoY2+TFz=8i8Ike#MC?Gw?{SMGn=BnQLG}O<;&bZCPzgx
z|A|cXNYFr4yhB8GL<zZ_Z{%H=pdxAGUFp})(jl67BIdWH3eruR);*I(L%Q|Ht(;f1
zpois$KIIJ&#XKBP8ds;IqN4I@!b=^{z((qgIY{VFPxU&_bvjBfaVfhOp$9B!6~EQ?
zk<sM%g@yNT=qQ5=o?H4Dz%Rk$A^ZUp6vp5)V7f;~<}$uX=01kdq_0=)@2iFq^;eoP
zH9AW4*hS7iWeoefJC%NEt0T+Z<A@SYLprgGWBD|ImB#{N#UIs?a~8W!?Kvv)FY~fq
zl{SHA`LacQoEoU)r$I`Ot|n@}vJ{pwYXW5()9;>gXrST2md4K0YRI7Li`{UxDQq-`
zY?CWdN1a-3GE)*HWM(dPrA?0k=UK}1MkUn|y1~WdcwHGK$vsNTPGP{?H!iz6b=8pl
z9`U#5#^sSw3jZsE9tOmcfA9FpPeFwb|Izl8OQUYV^4$ZI43N>YYNEU$p>o@^DZ5rg
zQHJzbom4La$ngu_s|u><eX*Cj-sf#-srsYIRL<u4mj9}x&#Iu{&e@;)E^wd>3AML|
z&J38btQZN;S3*s>H=KEU*6`}cDC6zxrVyW=+-udRfCl4OFRz^&#rFpC{k6Ga3RVA9
zYznu@BTaXs^T%D&@B(pPRTkmR_a1l3hrP0>3%8&%jSXOJ{2v(JNhXkcs(XG|K?-r!
zoEdn+KZ8a8*;n*a*aY~jUS6^55l1#hJ@GcNMQk<UhIvmSz<2IQ+jE~p5Wz8YXUFkX
z>_icVpPU%L*4E6Xy@P^ie8iW(&vXL|pbFnk-hshY4Wl6M9otYPrGkg=0s%ZoM^Ert
z83X3@)m{ER4{CjBk{dlifVs8o{vAF>kjj0zbW&w2+HV>fJIBEUP6cmcciu9D#(HIv
zoe~@J;qGPO`$K@fS5}p46+1xdW!PxVH71ll{)o%zF#*hp{Nycj2EeQ~+{*i873cMH
zldRAqKoC)+W0YzDr(+if4|UGtr?&@<=iJ`F=%OSxwGe&qX#6j^@!d53y)MbyAa@-*
zdCuQ=f0Z7*-`EGP`~Kps?Cml)zO7-~w$rfh!g|o`>q;BY?8j$MZLf0WU&FlbU373h
zr3*)oq|Aw}w&QV&m{f%CDwg+W<9cj^4lEYG&Fnbx5zk38%0Do%f?4c|ytSmE189}w
z-V5<`%*HJJ*45+{jGHv<9q>RK4y?2NN8_x+atcp8KO3}yJ&IO5k;|qH^3OiGcYSWh
zUhjO?aVBa7TR6Sh{tzwjZ+M7Ybb7JcRJK@p=?eB|)a2dkaXOrIO!>~a+K&Y`J=tJY
zUBx_?t7!^ebO_E^(Yy9w2)i49x}BwA6*E+kJXt(MgW2PPf3=zZVjUOvSnYnchEen)
zm~6ah;HWzE2irN0X<1i3V=Y|AXiZ-R`X;HMMrP2g^{220@7^WkENx)Fb*z{Vg;Qa|
z;qFUH{WKQqkW#W<P5^-scC&O2Dy-=zE$(od#SB}%=<z>df@+q-Y1PS^@Nq+1hrT$6
z>8Nvu**#!}Eh4vl$~86Nsmh%0g{Sk_*L#N?-HKS?ndj6+nM4hctI6ANI=qOP=-K~c
zU0{XyJ;F{&&FawfM8aZBaT!a#l&b9Hzz&8~As#j%b#Ul=ucgbkimjPmc=%&@3yfdl
zYshd`1D8EUH3ucuu~eP8QNxt2U_V^PTv<qg6Ljr8`AP)9PX`GkUE%^otyqV5{1mu&
zROMEi4HKmLSid=t!~;?$&5>*&WVoRzcGD`E8MuzbiBNj^AhB|rpZOmW96anGu(-kk
z`C6JUq%^iclQ6AjhZ_lMuJZTQoMQtIn;nh;*9G9|srlBLVO3ze68WZEatoZcIX&aX
zEd=LftJ0VvR6#!O(ueSV4!B)udFn)-Ff7kDQH`Wj!N{fHm1r|3yv<n&V+j_8j0;|$
zxSNQOC8D;lXM`JWc{36}dWgfd$!w<sw}`;a?fI~g$_GK6O%3uFwnOnRnZw{ogesqN
zt>qp3aP}DOc=%^2_-4)49cE30bUW`;;+g`WfO+ovD=iB)ukOrn9U;Q)o1A|~vjic*
zhvTa2895LXc5}WQPJ|0*jeG@+gyEfCw%YApc`$QO-?36bgxTflrd@L)a8dTh2hZb*
zz|oiedAo`#pd;@{Y)xYDs%iJ23_%%!v_`pzWvbxt<Yo8CdI?aFULN5uRDryhvz&A1
zNw6f`U&uW!2{W%>E4hZLLLg<@tnC~bw5)N@Dw+&LUH0y*uq4BOmxE=)-%-Hkf`4&Q
zqb$tjeW+wtQ-e}&yMki6I(UEDd&)*Y9z<@g^DlF0fZ38jufm!JD5tdB8+s_f!F|8F
zf&w&QNXlZpo{I{H8-D(}SfvQMkzWPOtf;_$W>o3}g9Z;s)vY3`%CNXN77(yGUnh2d
zqsBg`gG9?EM(!;Yc>BXc`AaPgem$czZt7@5mStLg>MRlHZs&aT4$#5j9qve+(1FV4
zb@TZ>BycNybQjB_!#AHhZS%Eyuv$iX7ZFDWl~zLdCq#$KcdPv$RT_Y20n2}aITYB_
zKeWhme{+3Z>-ya)LwNW(8_A`qfsTknc$YjKnmKp6h140tCyu}tnwvVXjM#Waxzgas
zi@o9P&H&m=LXzc!>QI!y^SsuU3T76ex~6+gU}=0mc~n*do=O^rpJ3611-GQs6WdKe
z&LPRqYuhGwEE9G{PH%E&s@U<edQ)hujd?m=s1Ce3>JAcDRpI1!!8=zDF`%=(5hZR_
zhXE0#i)<50VAk>{J@g#|x`k9lzl*2=jan5<FqenEb+3@FzYN%&F5Ry@Kn81#J{6nO
zQc!eQBQj`#0R=h5nukM4kaO^Fjc}O=9P9e{M(Gy=nk)AQeC#6v<D*l|p=5qo_8PX=
zf6jogSK<AkWEDusJ(wn7&kob4#+yqv>v<%qb<x{Z33!<Ms{#niSlc1&M*Wm2)V)_0
zue_lE+BzMEvxS3L`bD1zN|Y(^rW9XtsgMH;CiV$0=_>pUk4@q)W>Xlrmu!7}R0dYs
z!(H!B4C7Nl0S8#3H#y{ze^h6LBq$yp3qPnahwqGzY5Brr0t920-M0GT@b-yKT6W(O
zjw@wL-@FLm@3(S?l_&!9@0SvI2G{U{gRE=gEC8mZiZq}7f>5xf_H;3WfD8gF={<rN
zY`G=${ZkG<{AMCIC2%sKc%86QJBh~78k(&=9m@@@($$==J(*DdmouYDJB>i(s=vpO
zG6#Gov0YCIWI`|cL|lGua@P;R<>O*>R*-*elIdyAgz6^N411Dyz#!XBT52W%suHiq
z&n^&<y@G%*rPToP!1_Gz<T7^jcL_)0Z32q4wv)Hsw&|x*x7s~T|6#6(?|qmY0o6>q
zC)V5P!!i>^H%xm98zaZuJnFWAd)=L|kjT`7sjtMQ(ttl$E7{0b{MI^tI(&CR?V>J>
z45e1KkN0BLchw9Xzpvr0we&5%*19mEpTyK$*^K$vWot*m8vac?wJGb(riV61ZO47{
zvD-TM=>3*e{5{{Wf{KU^bSIpuA=a1UlOBGvVmDXugp7>5tn=Eitk%^^acsd2J{YN}
zMy%qu0~5SQ#<jqS@$0Dhoo@UUCL+%LXcf1RPmU~i(SqmpgdUfuKD>{Mj`@wR;ycG3
z)c$>^L;vrF!@pdA<3%&xJ5z$z@T$EWgZ?&j*mCG$&26?3d~HLz_$zfCZ}Vb1!}pB_
zKmGpmm<Sug6EmMKYbtNxAtxup%Ma7weZ2abXwxJ<ioKxRP$i(hR*}LUy;N{!{G+g5
zoyPV3sb55X641Qy-p8xnRQQxvQR=8Xi$8M}$$FK?gnrua<egj61kbyXYHGD}_`pDL
z=J^z6B-L%;@Lz%^ILcSuqy^67Z5LKPujaELVXmnw>WZ51qA9FwoU(|2-5|KP4YH!{
ziKw3cqBI~PM85vb@)FLobIESQkR3f<c-?TSLLKx!&)hHWTfsdHd5=_;Z9yLouD{f0
zRR>nT5SqrHHGIRb*t6*PRwSiaUmk0-nLBxJ<cS;v^u@Wu_k%7M+VZ$NGk-IuVw8NI
zYf+idQH!oxxg9*{(#<XXBpwQ=o-V8lKFy4ptNY`;PxGPROE3}>N`{5PdtXsK3ljUL
zGH*P|k3>!#6AGFj0l_75D+_}S2^1vd?_mg_Zz)qpzxtEFYD!1rKsP(`v|`f|EEYtY
zg)pbCse*_~f&YK^IFLze!}5ZKFxvMm{jlOgRahz<=@1C!M5jJgFrC~Yiqz=IAzchr
z2yi#N?t76N^?a424i1YUrF#MvF&jh>A_-a~mhz(1XAz~Hvl6ItNba)9=A7k}Efdea
z!;d&U&n-P5NueYAZ(Y4oK!jz+@ulMaZOEcpMne0h4C**RCm6jZLT0U6xSN$AIy*R9
zk-be0B{Y3Iggz6&B$IjRVz&?~ypU0~5Gap+tQqW|+q^eqqCKW1Mg)BbJ5Y6ZLILga
zjnUiVpbF=*#vim>iy;#4se8j0lu*}o@sbaHs?gOz{ZL^lfwCX7oJderLCHhh%2SCX
zusNhDVtiN<-H$BsBMcGILaTQ1a1<F1h-DmgzAlYAu5i=53P`9XiF!dHg97oN18<}U
z$|8;{M@RIpQBc~FsImEGjw{`BoSMs*L-AvNFUH)|(bQm)>Ca*f80J&699fk|)LTD%
zJ0vvGmA58d-rbt8Ouu!s*H#e)L^ZbFUe-h$4+`4PFw;Q5X+Tza)1S|N_Pj~0qaqpE
z<;OmU=#c#6YEz$>3VL3LKVgreq1vGR((p|SN{_Nf42Kbs{nvik6MS^^Hp)14C`<>0
z?VqloW>xfJXUPrOKstI_wvhdwnI34v>o>(hWP}DHPAa9)k@DID!FGxP?0s6sD{e?Z
z{iX+g2FB6Rr}@k~PAY~FJ4wk(GE_t7#DkL*H$C^{a1n)~Vhmw^syDuKsUy+0wBZY}
zG{pHQ`s+?!fXJ+(UP`Ju5<W|~Gj*4W@^Al9psxVz%ptDWPphN;9ABer$21WGA4+I$
zF@YY@7s5xD)Y0~}Yj5P6)X>l33WcL_rtr#SeR$#RrssbAgjZfAA;aL$E{~-dknS2{
zw@XnS<$jFoU~s6QyYVLLx8fMk6dprL+pC6n`Q;-o1t=ifYauy>4Gj2GyfhZ9PC=JU
zHHB`~%AongtbvW+oBNd<<jOlqsNv?YMk1>?DlKXeebU8%+=Ka#D7LDo%TcPb|C0c6
z1(sZ^R}7F2eQp!{N(HrNDLb|~aH6TSyz-{w3<%lk@c87o68ic2{tdHq0^(KEwvc9L
zz_V5RWD9vk6qd7J!=Y&k4;0JqV0&l^uy3?v?;&}l_kruie*Q1`n#*MNYdKSBRt`&1
zxhacCqX~37n_kRX+oI;oGZT<Hp`<61CxuGiyD+t{PGbA{wtIe1Gy&`M4i;q(3FNWu
zb5NPZJk~iDY)Q)m_*W4a5VB7ceHHyXy`^m#gHsw+$tnQHXDyk%J%y0+-i1n!-)oq=
z<hu};qZqJBJUu=8ej8$r=>Ozczk$7VdG+(KpD}P8Avb7U<wZ+@m)m&V3D6?;&#dLD
z5xkeL5X<1@M12=#4tT{803=>IvgaDY;FG6+3YgfDM%2BqUjYQT%kRbhy=w=2)Ak6F
zcVI@k&t<L#k_lkt8&EsRy91JaBAX}G*YUqSE^FWKZD5`%`y~7J82~sIF#a4_#P_v5
zlgxUzj{O@ttEzcRAG!zolsh+b-f>_uvafLs3ut`%*7b)T2>qIuIwUZTztr^}jv8OZ
zdW2g(5Y+VG&_Of(p8p1MZ|JShkzK{kKT;&8U)F`n6l1n$IzR9|#}wMG1*~9xO{$ck
zJ{=I0`PmYDuL1v)Vf(ygU>WOEJoY5iY|~F2tUJ$ZW#Pwi8WtSSFJol_EhqV3X~W}h
zyjMphDlxuvtMSxb%h;maw#-vv+F;0SBXqE#88cGF%-Ic>F)o&5AIEE2@N(uor<QgX
zHmfdPZ05R*i5>Iq%3G(ygL93>r-J^&Y>n$bq!uq@8_c#`hM{yoB~O^&vkhYF@%qsU
zu!8AEtXK^Gqk)-P9+lbo59U60pZ<Ae1(SayawZ{!2DU`ij<YxaV!`K-#iP+x?E0|;
zN9i>x)c0-s!kjsdy?=1BvyXort3Ubj-PKqs<ejHfnH`?OZdh}esQ7JQPaX|dRSHre
zMr-B@bJsKmYAnA=7YXp!|9#Z^XPUscs3?EbWfq&fSlHs`%>*8oFP5Lt*Myt9S(wwN
z=de`$P>sw0X5jPwCi5#p1MdA;o%wfr9-BNgq?z)71zM$|p7`~sLs#V8RGVFk*e=7b
zuDb?U!S$baLawAbybB`hr3)@&X%fcMJ=W~-)Qx8H#a#{PG7n^G*H<vDlLqepMz%oa
ziZv@?(_hS4ZkCjAuVX8x^0Lq7Y=yuZv9(V(=VqF1uZWo(0lqJhJs&1>0rCA=e;$7_
zgk74vRcy@!1(Z7$v!y)1>EZjPv5N#uGc{=ePne<I=1!Cj2R|hDy~ZzClHh@`VeuYT
zR+tz^=hLmWLEEZ-*;u10#JKnJG2+<Z#i-{7Ymopj+m}eP*sDUt-DKBT+7`&3`>j}K
zBm|eI?kEmV5h4HgLrHJKR!DLmk_j0RhUy2G&a5O6fpx!hkM9B})a86zd{HI}hIO}^
z`Yec$aY*Eh(RLm<`a5TUP%I9}){}fohzQ^L>>G0Y`QX&M?qbf~?Qk&aK%?E13V5vf
zJ6f;uL)lI4K2^Fj49ov?n(bGCLy<J~ZH@xKW@qHC>mUnvT`4j5CRJd&WWph?9zk#v
z8K)K&%faWq`#RI&L^v5Go2`6K80>b(k^CqMaKFnd%WBhqtq+!)%NdG7W|-hSR;mbN
zql$!^T}0qzTJ#T=6^CU*tagu!GT8ra^B`?{r&^d3ZHMZ1a5I<ndM!zWGkglKX!}Tz
zc1UDt`mhw(J+bn)9ozI%<((9R!(>=8JfCdyLIyszGqJ{fA;US=k|s(T1$Ohxe~RUk
zgWJ6|7mD-MpqZ)OnP<~aTZQ-=N{`BeYN1yiOOgh329WK{w`#&G9hVmpZxvwsukOmr
z#haYB?o{zvo(hS)|2~9@DZv@udd;>ZD&#I+uvYS-L3FIv+wf>*NRZe)amj@SV*h#+
zOuFfSU%7KVc=Mm64;BfIbJD@WOgK*~R2xp-S2*l^NEL!^^?2Nlr$a=TjdqQ(E*xx{
z-v8wl3EI#19M0b4V5^YS_F)x$c+Z+sDKbWea=D+R)j>MgIevF{C+&d9xrSE6p#}j`
z2m2Ra(m|-3&GD1I5j=3W%pX`#0}CpLeU}0qa&n&J7w*EKBg^sopFDM-Dcqf_-cJLL
zL>`&`6ac?R^%@5iHK1riFXkDU3UXOOJ6x}AdKSx?R?-0tIEr>xjl^lduGNq!qMa#h
z(+#ocSJ!|OdxTE)T2UZjC;P89CI*yN`ln@V^6X_w>mbu6Z@nz*P2#!CfDu>i@-ORZ
z!1ZPIzMrrXyfAO5;QYaW%=PJ^yafudxtXCV7dbF8o>nVkH-nV2WU)v2WSH-gB<bGY
z4uRo(9XGa`0sE*xyNDJEq@!O6+x->-K9$`MX8$mNdtJMO;|3ATAJ_Qod&L6_$^tr>
zn|_+^z$el6MHw)!h$-hSEFeHvOq#P~z~4{43GwraaAnt(^oW63%+>Jmg5sblxE$Ym
z+DcLZ{;T1tS~vcNh3>!kZ`#)sidr^y{M;!Ab2{$R=RJSoQtO)0W)mi`Rxq2BJ}(W_
zeM4XPeof)4e+8EWd`*C;!M=qUyB!|?llj;!w1^kq_c`x20$^Z8|JcM3gKcHCR@-dX
z@a-z*$DF(X-i3b571a@jJn5?7<uC#oN^v;yuMGpP$cK~tE&?E(@kOpPoe5nwj3jCI
z8N>DHUv;JNe9)P>-F3m78M!PM@p;c1!Ew>+{y*wCA?dlyjj?!UWZvC%eL%<v*yfrj
zT4C(4`1p=obSyKnep9o0)6fuR(%Z<N?lD7-pjtVz6*HQ@eD0UH-wtrqd8B7RS;x%x
z%s+g(z=YVC+H$vM8Nhd|IR3)X1?+1{XvxA2CKP^xxvz6bADlyqA4?vY!Ls+W+NR4g
zp~EQ)qz!d_DB^fSKKAi1#&K=kJM$d@T{@GUv>d4i(qpT4EXVsWTk}${Nm~L+r|59l
ze$$1ydreax<lC@g6Aw!&SP1CHm!Mr~>bj7c`fbhT;(M%AsPF1{{081B#^)b%QwQ>5
zdMsxil;9p!k9x-qH}LXLTf_4IX+z!5y;6U&TJUzWF8d7W4Sel`v|g`^HY`S+HEsX)
z1Gf)cY2ee^!1e1&)!Li2Kx}r!zVLcK&J-=9ck=uOo}^N8#ABxxzz2$?O4|@FziTjF
zi-~|H5BbQQsH8*iOsf7s^Iv>6uiydZOh9~l^v{&;*z{8s%blZ%6S%zF?yIrg1VrU}
z%DSt91|mgGmc!!Hc$<d$-ReLl6fmXqd)|}=#kNCNCwgXZK~H<BW->EM&vj5o4OB3G
zlXywy(Hssu+|AEfSWvKU>{9YkDx7UHAD1{bk0+XM*N9wYLFeu>U5*{o1a0%Merbh8
zynMb#xk8i;b)Flzdi9bf#0^YQq?VTO?zgdXB6jTPd_nZrTuDv1mrgJF+P{Kd59xY+
zv3v_!-y+s89IOFXW;0kCey`!_2YJ$A?^fjSci)@vGIhut+gI>qvmefTN#R4xTqx*B
zFMHRfrzAv=^L|%mLS}2b5891zqb$c3p8Kw9aPb6R%r_@y)J@rQppL+YGNO1Jw5uo(
zyjt3yl*fX&46e1fX7M9;Vq(N04GLHm^u}?Evmt}ij~-ti-i9vu?awRCBE!K0tEu{F
z>?rztht<5fAPOZE8`_e{5WRMD7WQ(WE;9*2U7ZlBR0+~CEhE9&E;&07QBH(*RI}{$
z6G2h+Pe1%TN`n6Z0096043}ph)qNDlZLU2p+4H*gy<9T;A1h=QLM4<aiA3^P3CT`L
zQ6deMBBhj4{~xj|Wt0$+nY}kpZ_lgmIWNxl^JyhCu(5M;BK!Js&L(XUWL_T4T+OZw
zXC85+m8x)~-+HX0*A+yOuj5_*@1K-_XLR?IRYP91Hu2)Y@Gfy=Ionm_a!(0#s#O$s
zMe(7f-I<Tx#YrMh%jbo|8A>3LH^&{($&c=|M^E;JOCyhVsS6p|N^t!k<y3@&Aet!5
zjAL(>LB8+(EV|z-0ejB6_Uy0_k{kOdn5rp<R*Jf7zA!06imS*muiL`NSh2l{{kc4H
zJgrY%3sQzq#&0Wxvpdj}7ar`P<|K5ijF%X~t^!Z?aXv=@VyHZ9&+3;+Mf8fhi2qxg
z3RoU5PHjw<K$6{s2BU>aNSc2!lB-=69O5U8?>9)H`@U9ZB>h#;-x~WeZ$5PhIVfaw
zTtEgjoZq15+Np+??OJVkuWG=Q%gH*ky|QSrH0zxCwmRx4Nw~C7Oo16u{pI(!<WOvm
z79zM)(CINv<+%zf)V1$&sGOEZ1MMY0)YPa*4XccNHKhqW!o)VB6$y>G3)eV~QW0~$
zU01CQ4T?BDeuUmtL=oW>xwjWJ5uKYKMrhN9X2E2YJ&R-%OI>1{T-QXR+Ha9f^iH5_
z<nV3QQ%21x+zqzITF9?>+qcV74@AQ|FOz*$&>beZw_k0v5K)80Kug&G%Dnm;zXYqI
z6qH3bO4LFR`!`xxg^fV`@upO-vl_B76ZDI}sfpr!t)vs_F__!WccPk69Yy?}@MQf?
zMK^Q>hB!|Fc;25oI~<~p=JnpPEH_h7ThZ*AuB9==#KD7ryXvU!mMWgYqJcL04oF0@
zo51<Ei7W$`)KRh@r9_ll71<vO!la8$z@xLN_Mx0Q67My%^=l?0?OM~9YAU9X8+ugM
z^qd+hrk-~(_fSAyVYx1S7fhjCvGkD1B~|pt<QI#>xC{!s!LR<g)D-?^hWQU1P(fu3
zmjVYRBoKks1#74<1!>O+r_gmJR4FMjmfuK3VZ{3{gYTHaY;py2Q7{>O*+JN2&%lRd
z^iHmpoiGJ4-bc&tzL3yu)lK#KkF1D>lbra(Ou^ABc&t`f0o}ayDOIm~6W?gLFF}55
z0w=U*{77zc$SuX_;vmZu{^Op6xUP)}^zirZ6U>!Cyln1*Y&+`lv!i-WT^+^{S<3VK
z?N=#O`1X2B;7S*k%cHf@eZUwB2eQX+B#I-ZcMt!h*-u~#1&^-p>;<q@a4mH{u>&3U
z@V`iWG><iid^jO@1fbKRAOQVGL|uBBr*5V#W4Si+^)6pA2s+Kbq5MGrmCRf`-6y+-
zt&{D;3kP<AuCa9ZCtW_|l^hsb_hcQT21g8fZ5V;jo)Dr*I~OWC;US{#y@5G=+@gs~
z8bQ2&d1dNd0?PhbCX{}D16!W`=Co#E2yuHVPUUwpBi+L<187Pc*qN5rxS#(SfPlkv
zm}C$GTDw?~Fc80v5rhxDJXxj>#iW9C`{pfN{k(B=?z1&4OWJ3_dO;6XoUJBKA6~`#
zgD&=_qE$?7sotN{P!DD!RX5gC7jWjGgF*w1D_HII+F&eM7b5TUMJQX&;LbenJn#Qp
z#{7hj&`0&|ghcBH%_9tBxb}7G@!+*3Or^H(#xdQUprex&df#~ff5MjMq(NK4=#v6N
z@7>UW12^ZCYP&mec>Ru;lDddpH()IPyRHo{cVB$s-Si26#TsRu#JY%G6*8(>@zw^B
zqlaMm=u2F>ftWS)Z~?1xTZqqWrGd0Hls(IPj9m+!O7{<3z>0=Pk0zSYz@}p$J8W+)
z)?|O^nwiG}HXZQP>B(Cy=$b1hRh{^TZI{`_D1|Lx2Ua+iJ7`+qefBrJzwrYzdr;tW
z`|ScIEXUL_{6Z5#RSLJV9DZSzRKFd(ii_CvntLsxX~K3Yr)RZGKh|m<E4uxD5##Sl
zJhSI56&TKSsXib6gVA<=_T`CL!agPWFa?-Wfz6|BN4V!O)@Cr_DI2hiv2<_!75Pem
z0@G7>a$82Rf|#IApQIJ+Of^S?fhPs*<lJk!jK;CVpeQ}xwpGkgJZ}8jhz3|PTjK67
zCov92$%{gE>sU_SpktVj25hw0+?kM=!CKf88amcDur>+Blfrw{Vd1ab{rv&67$5aZ
z+NHiNEbH{qn!t-{;N&}^AJ;O6t<Uv4TSU_VTk80aOZBRdmsS}XZN7kUhvU7cp3sBS
zcQKpOysDsfeq+|PeG%)ZjoBH#$^iGi3H@j8sR9B5EKAxk%UFeG|Bp>SCOAUW-%ow5
z3{#QzJZ`qDSlzSq-W~=PP;!%PJ|(0K3S5muEm+59{wp5a`;irVwiu%<B9tIVp7uPz
zeG^M0tX!LYL4e0U>QrUM$Pke;the!a8)LjZ<6PXz0ksoPKb-R*gO<hd^XWqL5E3D0
z*P+M_$F^D7MtT)tipj7=Czt^Y0wj%75Ap(2!Fa63aYeA!vCdnbVFa6Q4%ez`KA1Os
z#BQ`fg1W*7>8w|op>N6G-M~fwicxf}dM*jF3$8PMcVmSb)f~mvH9^R^e$>O$iUcPO
zu32!}5I|S!N<_prBILL_y$WF_LF>cdE2;h*aD2>{ysJ$F=u0D6j<hPkIQzOx0L}&R
z*Vm1t7{$Qfl&ARo3k5jV+w(SDo)@Z@?j*B%OTa_Y1eWzk0ocx%<<%tcK~LU_bpDDI
zKoED+-`5IoAgpa?6Po}mn;VFwd&xkkXYN_IK?M*Wk$V5(sUYyV9g)5;APZ@Beb)|Z
zl3=vt_~y$HB5Y(`UGzCG4-5VOIfy<afm{ruc+wFO_$WB3SG$u0cQWR@LoF3y?p@=>
zcjrVw%xHHdiJc6Q)W3Rc5@bkF90)XdB@O{b-)frYl_1Ss&VXN42|`0?Huhpt&{BOy
z+jd3;R3ED}9F9^3da)CUaqZIJ_`}CRdsPkEn)XM~?@)!~y!SJR>auXUQb4kafdUu3
ze4OW4)S>$RPqJ6G988p-`Sh8I3K7pg-!N39z*w9a!H!n}J|8c3R$8ZmSN?WKX*d<E
zjjKOIT_M5X$U6Op9!-!u_AnxRTNC8}OLP(;lHtw0MbY6rE#N+Frs?^L2DY(b^TpSd
z;M`AH*CuTm7#|c$%+JvQckZNT)PI~pxz#LApGAX9$L2jP3w2@KOo>CxM-?h)kLu2s
z(jf8ESr+`8KIml0H&*1SLH#X{*dI|eI7D8vN#iyGvDorGH4oLnGEFVKU{MR~PS+lL
zYK=h&cv*>@)qqH$!LlJiEhvd_YJKtcUypRhHojWdfU~s<S7^OdV6>59@qK3u46YUt
z2X|1QvgA<@=>P=+!yiud+%|y<meN!ib_%@P%Vs64t_GW~hOq%|rVxYCAHni8z~YM1
z=t+Ae5cm*l`E$e+_{V%I?zXDK%}w6tilz!soAgHYkGUC4m_WbVYc<GQrMY~g$pAWE
z9GD(#20fjDrMR;y?9U!uJ(VpA<7+oPzyF)-DlgYmRVc%;z7E|DM*$d`$+6_HF$1n=
zf#-hA{JZlD!;Zx31lYSLv|yRR45BVRHd$a(1dc0alOKIIu)~h?Rh#*y5U796C!0qB
zR_bq^yk<XueKt*a?WAl9y3cmJBJ#<>zURX0sn@#j*$;vf;g3v!oL^BQA|eBih~cC}
zgLxbYuzL<lnSk{9rr7rfB%!J0<C&bf4cwd~{>HCs#_-wDZ1&hQQTV~^Gv_bNfX>c6
zD9U0th95S!B^h*uK}3L4XXptNs;X~^hd6*+DM7AW>jEI{H}=}=I14)Kf6UvA4&dyt
zVUzR*FT_33DzOY_MK^A(9BO64U}<vPXgrJ)M*R`-Hh~TKC!C3A72E~St9;_?LRmpn
z%Py@@mkl+loo=P68^Nuqhm-dw8Q_Vlr~eLlHbm5{l4Eo<gim>C)(It>n9~=$FX;~}
z(wA?G9=KotZEc-j23(e~z$yBE#$;B+dO-Lr`K>-AJ}Y~1CUqLKRTNw;A+e&r=C&8*
z*Y)7cgoF9ymp|CFO7w|<S{790IQ3W6Ob^y$!yTC)v|_u@mc!XV7NlFex%l9kF3_$0
zR6e3`0H5*3jy0*UAnECieCCOr@WGq^#O%;lT<``2z1wC+jD+;!cB`Gh&2jTmCEah_
zzPq(!*EBOq+C1l2Qmg}a<x6c@zYpWq!xh(dZ!)8k!46!Qunr_o+jfNVPU2l#cMX|U
zSx{2_hL~xBHrQc>^9{#l@kz6lF;Wx@l68Nv62C@+E1Ay4$9Wg<zE-8p?O7J2IhQcr
z9ZZAUhI}eLnM=4{z#0Cs6jl_%;qzO0P773;{>xuqTfxV(D|76v*--y9ccRBxEhv*w
z?rXAN$4j=ojQ&yyXtuAYDQHs@67*!^Gj46-QAN|lQea2U!n|omlQltYpi5|KcpGQo
zV~kr2<3QCzZ|gx^6P`S^RNWA#M?Z@@bd7sBk(ep>lvEiNoOF~^6zv#L($ANYPX63z
zA${b&tUVRT7g#28k{OX&|98O~LcHka*rkTh845HZmGqVlCdBTZsh!BhhvF1xs$FhS
zAjLVqO-YLdh188p?~>w2AvM)BUNZ_X_Xm7je!z-S=$}>y+Xx`f(%Zw!lNzuk!mbzf
zZ=b{6@gC_}f~f!Kl}bS`4WJ|U2ds3mBXhsI(v(dhMAsoF5j&s`cDAJV5Ar#Y-rLuQ
zZ^R3u&!^s1L<Oq@!GeveDv=xQmaw+>P}_m5C`}>JLjV30N039cH80xy=AA9LDvDZv
z5pEkasR5(Z0h_D7eCRbBQC4P59Ce)_$G*%|gVr`qIGV$cuASV$^<qmBnFPGx*9}pF
z{lNpwZwCa>ZL?3d*0-gR?(+r~{{S_JjnZadG8aOmetoZ$FEVK1XI$UDf4nikYb2Ij
zMMMSE6t3U=a)`*l{K~#k4Ps_4U-oblLG5)XIj^0NN3UE-CrQHUpeFp3&W1}AjVwu?
z*!xWZ1ur%QEaj-f&*uR=rN6|GLz3LCWeY_V`0hZqnw1757;><CH%TDBW|suNCNfg|
zW-RwckOB{0d7Q~;l|n0Ef{r>Vqpafvg%$Y}$j|Jxhc#)W*D`s<@V5%monYq}u%JSC
z=?Qp4ltpxDoad{3)R3!U8*ap-304nBnx7cTA$I~|C-$i$g_h+=|7A_sm#pi4;9u_0
z9xsA}6b0F*ggie&PXpmyozogQ3TP?I=GnDM3JU)8&R$wg8?;hqufMD(p<5$+t1^I!
zTu3ZTUjOO98+Uc-OVf&|BgOdv?|mv7yuMG>_Rmh>5&QDXmt6^cIK<)B*+)g0cfMWK
z@zDeFZEBh;pE62${F;e8Nkx{}s6ybnK5WI^(&^YxMs)WNr5>!KqT;7p(N;GN;Tave
zpjfMd;_ux}zwS##+yatmdv$lgyiC7E>k(CSDz4bcr-g!!d?jzzHe#T5S^Xk+iz+(p
z{^3!?mIitq_|l790MM7A&SuA?hMv6~y5q5|hPKy*|1R$_hOxcV*)O+L(d!zC$ottU
z$ZBq>f2GG5*yI@m&sD0Tq@abM#3eF1x#4wgW}gY<%?E7q?NUYiT6`2fl1a!3v3Q6T
znSjQ+hNoSE3gRAMsZF$$LyInV@(=Z!fU~~*5rLb^=>3l~yxsxQ=xf=*e*IMw@Ef_X
z#U7)C8aTxFRd|Y_mtqSc&*n`4Z!qX50U4Ek)obQ4CZd>(4~?yDCSV-7JuUQygt+YP
zD1~M7p}pmclcE25)_zDs^<9txl2Kh2jGJahA$J$#tDOGj%;~QyTaZJ!wR*d`KQkiN
zfvtUCH;o}%vFhPsuq<j#+vQ_=bscB6b9oS!YYg{}9Li5#l1Ae1QLbglEZ+5;%~qIZ
z3`~8@)UQlZXcz_cw_f^#f4;EvJhC2u?nlZrt}Bi-cdUl~n*W4%&LlLCx&p+0PNrIC
z>_C*>=@7Bg&oCqT=ooT4241wHylP%y)SEbd<|ywstUC6YN$kolQ1>abzWH7dE#A<!
z3uyj{UC_v3&Xe8+1dWT0PqX>atFPvFa>siy5zOv=o~;r5ckbkH%w1m8a2aYIX8y)b
zc0GMWi7|vi)3*ttueeZHS?}qT^xv4o-r%^$Zw#PBwpMR4njNv(WIU;N?878A)!xf4
z>x0egKEd=nRupuvLi2+`59Z7zGmvJW4|n$_Eb8+xqeG|3oGp}2Y|v=`ubPW`;Qi)f
zUr{pyGNls>O^s~B{14AeUGC5YgB?Cqc3<dF&sEn&v*(|%hMI$Vua$K{wzz+sAh(6z
z^D|^N8>qsB)VyD9#_t3t9%n38Y8|KCPMsFkeu8B+we3<G)PcWFth`Q_R&XXQ<;!8w
z1$g6b2P;NP9q17|ZF|^Z37?JXyT-+d<1apSJ#{P92A5A4^VNeE@D?n3=)komeC?w2
zuPt$Hm>n6w1^VakoW^m9hgGfk#l9=`jcGKP{k2V2%$~*LKDX~1QR>81_Ag(^VxYnC
z9g&g_muK*6z5D1NCH%tK%1#YIgchuNDqo0;nZ|YE82QBl`*EAs1&SsA{zk{84AS_X
zDg2F^@t$DuLHrjTS5);mO|ZYSA1p#9@jPpVL(X4^@u$ryO~?N6Z^tx;$(e--{9Gn(
z<e4#s+eBRUiH)TKaV-0H?#Bt-!2VBl<&g<IC%=1+iHiy&?74+{eG~YuF$)5R-84Q|
z_0hQJCIxO#Cnd+QNxYOcE$~!z7T5XN?6|5z0f9GenD3uS-1##2aMjJ>SG8B0@?tc=
z=Gy(s;q_B^YRyEO=(z>_*if?cqi5<6#y@#<=<hVHc~A7<w&@anCU9$GYfueDzG%F7
zS~!DmUsAVIpswI0N6US4q}8BT{c?5rxmlbv?f1sWbPc~>zPB^@h$_rgJ;kg~%;6K~
z2B}u(H*n3+K+@GB6%ci%jATU4;}JErg9U%L@VY*ZGP+e|cqBfbxua|Ww+&G+kE^9a
zyRMA2ci1Y!@Vb@y0QVB!Xmy9*QHufX#y)3iJywFt1et2btIK%hWQjPjni2ino<&w1
zN)RSad1wx+_#OS?Y@f5tD8rpM+BJj>rt^#ibmHr{Nzx|^rM;}^WKX_D*`Olqcjs?6
zQQE{)jX*QgjexeA@@{@SqzK2RZh4vcZ{t7POP{D`a-i)s;eGtSNHBfILZ^3u4!Nwq
zR_tToMx+<TJtjURI9my#!Hx`QWWeF}?0#M}<?9t7x2gaRLZ#!??TqN2x547rCqBfw
zth)c%bp_BmuFk&{!Hh&6MhQ9i2%s8e-U1O&0PbfBhazoQk)dQzj4??FiQWFH)w(1P
zcA@Q0Irk8deu*7<l}8x$mkP(+s+0g>K%Tz`X`6zZcmHt@fv@jR6=?^Gr8rEbWy*t9
zP^a*JJzOYn4YwIMC59}=*SA%o<-sSiH;T@P7v0OaynKFC0y(z`5zhScNQ+Lc<<TNO
zq-Z?w{+*39dgXpeZuF)+_^~yPS?LR)n5QSCGOJ`zuz%_Om+k+&lY2%pa8eL`rM)t`
z;wXng%?y4NQxyOwr3oa|5s~azb?X#^0y<<$w{`rV=Vq4?UPRZ6pjyRScZn?|q%)s%
z*VLZ`Sq2@=e`ZC|@(us+gXLsoRqxV&#6=PAmzx$B?v_AlSNH$Pd!>v<a(El=#*pE1
zm1gm;S}Ejxv<t@SRnc(w5L3X65;#n*uj%cSK~49%o0o>v(d>^Fmyl;F&^yn(dniv9
zm0#0K`W;I_zY_>!v^q5qUmY<i6qZN*LT_ydX;hTO@!&gIk^&oLoHd)b6%cb}=U?$8
zP1GM#U-vDA3VYN!7q?Uu(QF|{=7zr(QhnUlmY}8u7s6kDmi$0QZ!*DuLY0Ox_=d&P
z7__0NIM#@0rHoFgS7gyw(hyztiY~^w6X<%}%m!;zP?}li+z_WWy3LfK>`v1Iny)zf
zmaH1OZ+nZn!mo|)(uQ5HL>oYV=_$JkH+2+xdF14~8XB5WV4rdOZUoO7V$Uug&_LS5
z1ouD@8j4hDQZo?*An!To#==EGdEI+#(|NQI=l87SCmP0(YD_d3HK(91${25VF%^Ap
z%@3t&nn0vNTw|BxKaOEteCM*MfpjD@iAVWNVaL^0Lk}7SC7trgiXf>Xrc1Vr=%Xq4
zBuW{|e9=I|b{}pkF_6)T+|Sk}yUl=oqRleATOIZD^dED@<<Km@N+D~O8NA88J98mh
z4NdyJCYA_GA<A=cn#^-EVEO&2doQml6121oz91!xCa;`Va?CdaPK!%rha8mAC(6Ap
zfyX>ZS%ybT-p34*lj)9{`;t+mDO=DL#DMH?adO&nnZeD}@Q~`GBviD|!*0BC3co-t
zdRw1s3UR~JInNyB(P^1Gg)(~^Ff?u-%p-0JG^YRuPg7ast>@e0H#m!xAAh5L_lgOC
zh<o);BWYAPtzgr2VG~o8eC=MtU;<5D<-azsildCjw4PFVMo?;!|8XYR7`%#!uYUB1
zpi7grpLaO3KrY=hYvM2f<+|a%EKea+w3_%;B#8|&JRIeJy91yrf+lC>_>tysc3RIo
z0rW=wG)b>8=$}a4(_+t!F1_$>BG#~jXhiLn&D&jY-l{=NyN3-)ln}G5B{`tf;5i=L
zYy=kHFAJ=VGNO%<hZPMZ4zP<Pbvcb10!{l#(x=~B__Fbfznm-Vz=r$oKg4SYbCp`7
z{T)lV_6xcm??>!lS9xpui-`d=T8@)auxVVmkLN|66+7q_?-Ck{{>PajXAZl&4B(mH
zH&s525g^@y{zP|;9#H&B`9(FGaliWz_8^l0E>vRpCa)eO#_knnF{;GA9K6@~)Sdvm
zfp*13$8^EAJ@&tnte=>18}Ch$JOOlm=UTZ|?F1iJvHSxvLl`NKSo>9o0Bc^HAy?#f
zLVEODm5ap_*cYlzs}`96R~Y9xmQr*eaO=RIrutco+xNQNoI3&LtxwYHt!aaN;fLd&
z<`%G*79zUr6$IFAC6gi<pbgUUa=%{=En|v2Q-SOT>|lE2Sa|pd4J?DXP8}^?!{X2T
ztr`unLu<c8tGW*jj5eId-#Bk#@_#<x`0|DW#_3U+@?R|&{PiX6>DV?lGY}&4yPOk7
zUnCcu2-boL-{AD;dh~Ga47u>ZZ!Vax8{9unuLTz~KI3xH4Dj7@$u4Lo4}6b_4eQR*
z1X_?3x>CmoJLp5&Jr482@s@HY6AeuWn@U>~6J`cuv0eUBdVFwL5es$xLWPQH^DmEs
zS)hk2o^DK)AEF2jA02|JaCL&rvCzi~1UEutgT4R|TdC9MC8<zQHLRQNK>!DCQNe+u
zg7EV5JO#c|fKK<^v8hFNc*My_4tOjCzj`rGh9n9!yid^zF60Df>sR$JIEA5Cx_+;%
z6$RuxMt}H*a6<(9n~1e^5wNPecLDMJ^V|#lt+7;I7+34AzeE*<dlRLzYIPb=f8YFI
zg+3n~)DJ=Ni(>F2TBqD8QUk<~7GxZD;fKQ4%wv<?5}-85xjt^80l5nuoMVXs5Vk2E
zdTvMx;@NGAwNx~Kp}tw<%~wHCh~(bTCdfc!1cmu6Sp$-Z850Bw5iXZCzA>iC!dQal
z{9#iKaI;^|n0hD-0y<CDT>a!A&|PK3DOv-jdn9^w^mf1x*5@}u%jDrn?WqijUm74X
z*(T&MC<?O+r;aSJlVJHo><L7r0F%V);*iJU;4-GEaV$U)a=-EYd7n%HC1o<l@+C>g
z+vsmN*+qs8CC2Ql>lD}%&vDNUlLo9eY9eEgG7Loha5G7u!o<~swV%ypfFvDUCRU*W
zf}1xMo~mlXd%fT{pPgl4iB@`cR#FWL82%(3pV5Tmy1}p7r{sX$mzg2{pU=;f^Qm5K
z)q<s)C$(rv^6-mYr~Ug=4QPA$pHWsD4X%lr3F{UrKu(eM?N$#8JWEW)$LF*m@fp!{
z6ej_@mk;{cLV=*08k^nfJE2-}GF$$eA}D>eDOHlD!n<kTBK>$>py}p+AhwgCt}~<L
z@*XNgKJ>OQn9_sXEn13mwGzZ+^c@SaqJp;Y)b#^C2H<+SCSM{;87RhCuf0X6V0!h@
z-oQaan8{<Z&o@^AM`z--yq6R>vS;t?-^070Rk*V5@Mje$To%8XE<u5DtBwx4W(>l-
zqssG1s&F}s^SVQkI#87Po*cgn@WZr9rPW3imY7=|*pMpdrLHYsQ8WhnV5!Y{LsiJv
zXXEfsR{q!1)}(^R#z5C;+Vpc#1++WUmCD4(@VNT89FgAyF84|_JB6u0ot2?~b)o{y
zr*LhQA2xxrIYa}EdS#H78lR6Ikp<HeeXgbHCLlYqPj`D*3EssgEeY95L;Q*4(Db_|
zFs-4@|NR#kN-jrn&18!Kv+q6@{#+9%zjMF!`-^{^X!)%D^j{)ev~W)Q8)X8*?;CBa
zPLZJVNs&X_1AcHYJ#Ki^+5`>_4Ub0?72tmW0096043~F2)qNDl?Ui+HlFh|+x!1MV
z?^sbXD?|~Jl93To8A(Nhgu<f`B@Ky4;rA^hBO_Fbh=h>6*W=&wI)9zlIiL4=+te|y
z^_6nLjnkEfdDu+gf;oqHRhcZLGjz}%?_`Djw5WlY3S)>;Jky+JD+AOJ?z0_n^zhV)
zHIL_rG4vBZI=W3t!N;M)`dalXm`jV;)6zA7KhdT0a|)7RvpHpR!Fm=8%fEMVCJi8D
zJuxBYx;RKrll?14N3oK=J%-(60F}<e8rgheaIre~Y9nC)yGpQrJDq^R!R+b0f7QZ}
zZF*@|_E;xYm5V(QuQUSlc{-TAB?!d#FU4Qv)noD9^N&XV8bU;Vh+%p%KbVjB^NRGA
zW2IXgx8tM?;pXt%Z0Z{V6#BH+W!-s#-4$M2Dt0k|%WPW~#XP(a_|Kr?Yxxt5U-rVm
z{tSI^-K%}~!!9n+`QzBCFZ&9U-qk*6`BM+d9LsL&`E$T$#t{W(=6BeEJ&XBkL_P46
zO=PQQX9Lj~wd)P{8?imb>(&!ty5PO^ap3PiW_bO%rPpz?1CuLayRg-y11vTF*^LM@
z!PckNu$F?aSZ8`O7eP)3f_E~h_C_;6*DW29Z|!{;p{jV-N~|^%Gx%*TNz+5mA%@?9
zii4O>m&Ku^-&zp!@S3{9+!j`TEB9>W)nV-Bp`SaRS!scE9(QCS(<UZndGpr@!x&ca
zL&QO~LKAdkW8aMhu44l~&J?!Xp1^Jpcf6TZ(1b~gYd_zU*RX7<*0{i3(^$-(*(-gS
z8jzAf{O6#(iV^DL7YEm8FqdJ!hHgF$kZV;4$hy3O1(83+t&PoL#VrK$4>xI$-<a{A
zm(U7!_>6<6#>fJu{V+8yo0|suTJKJ34K8C#J8G^MEiGZfkEoT_DeB-+8O-DMXBp!-
zw0416aut)1pY3ZARR`h4yX2peE7)Zpg4uD8b<CJ{qg|kY3hNgVCH$|iV2TGMS6yp2
zF}r$^bXg55@JADP{FPU+%+G$u|K-y`mlNyjwGR|<7fLc4US7o>c<yzV-k^sSt1q?r
zM<@_hKl}6C(i-MBaj-((pAmesT?U+{)u1&p((1Ir2DVtED$2FY1gjY}U-yvJ;EB$;
zE9sXvF?Iju(OtPLz|V8=^}%3O*mO93|1l>W?5)0$)qRQ$<j%WF*WzR-5bAW_H%$iv
zuEnHrR}QFpadvD{kPQBwSqFlr=;6$eyrKOWPN<#Rys_tu3cRe&61=~I5jcAPhHF=G
zLltG-#QP@+-j-KcX6|N!ez9i|pUDf|9d2)??MdM1k~t8N#|+w3y-A%}0&wm>_vT%@
zGEB8u3HeI1!azvz;Q}9i=)N(M`Q23+lH~I~iGE-Mob9!%?S=rb_Vv{S%_~7}u<qKP
z+Z+&@Ksw#@N(ho(W$s$dQi9R)zwva}IYIcWcj2?!A`mC2JfLzw2}WYwmcvT9VPM?j
zR$PV{I4=%y2uLb{q5b}}tCxA9OZ@9hX`?vU=hkouZ7ISVn#ee@l>qt|d~&_F^Wd|&
z{UrU8B1GVX-)`#sP`mq>`IB!_kgL>pb|;4t+&p}ecf3phHoXP9IyGhBE6+lyf`Jl*
zecLf~+DQmv&tJ6vR3r;?X-#ZFx0HaEGC6;2rwC|AyZcCL%fsHejL<LK%HUn^_xK;Z
z7)UISw8i%*09((#F1%71!a^=F)$S07AKxwylqM+x*S!9Fp}Qmq*lU)vs3QR*9lwUS
z9hD(+)Wkvgg$jhcjAQUJlY-Ip=e8b16{xMQ+KOURg&T#dN=4_TK|VBI=h`|MT9Z>e
z;~uF&!O=TUUewA!RbX*}c8eMeruU}bYNWt*GsfTRLUO>cDQRwBPl2Ot(YHlMsnAAQ
zkK+%K2Wnf~B%VrzkCZp7Jro*nuidxV->Cp3+s^%*`_w`9*S$|m4>VxxaB|Lfsv=12
zVIThfOC3U+DegF?1w+ejc2QT9K$nrxP<tN@(qHvHC(`Kv=JNLD_hx1I*RwlEBbElo
zoK_uuf9e7`PuckL0tsBc)aHB$rvdd92sgFs11sf+eBi1Ily`B+)hW`T)a5{Wev=_=
z7FanQZ6|}*+7H*IBz5>QbGmh;3Im0U)z_c-tHPe^zJ=V+sGx4|O+D8PP)46oI^U=Y
z4$iyp=v|_KkIzZA<p<lm*!s_)|EDTc(74!B4OHQSyScacQ4=80T)i6#RiWBEj(a~Z
z2_8$xO~kC2z_f*ttpahozgQ>n&I2M0J!fNSIAscd^i+P7A11@NLqo5Hs2uny{0mzt
zGliJNubt+$DlmOvSLMWQDQM;#6wT~51*bN%S6ZwjXfsfMMfMhhfNMluw{}y|qeI#q
zH<h5rvP*$ymjJxDwC~c>$EMKx-)Xy$86t#F3@RjyaKZ=kWslY4rZ70SL%U8-0mR-Y
zMHg={0OJ(z5RuyyMBf>3(1pptmz};DAi995Kd;B;@=d_Ia<AE`XEM-R`tb*2P%kEJ
zQ>~psF@dx<O~UhIQXpmBs#2NXj#u_~E`+`^2EY4P_t71f072*U;Q0A5eEoSYy{fh`
zkQ=H$<KjDE<u1$hj)FP-i%XJQ*lPfugF*h)bRsZl5ftebwTzn=@${JL12A2$nQayp
zgxz8bS)N^McvR9yjgD9hOzRr59liOW_WB)xwAl?@_(j7d-&7-D(B1rSt(ym0LWerK
zc5dNvD;_%P#fISi=5F5y+a2&S^zskO#4X(R;(qq?pADdbN82GlixplR`$lmL+`@_0
z3ra?t`Y?QYvaa+JBRu@OY$QIviR&6SsB5U}!`>HWyCXE{pj1Tgoq^sao)~V@xa_Y7
z0`e2QmoBVgUE}Qc>kn_>nmlyr!X>(J@qp`!md*lZ?$nqk9kh=BaQ~t%x~2m)7Al5S
z3Da2b`M8L!D{J^6=iszND;@9<543z<KZ<pTkM+nuU&W=7mJxlPHvGrmE$Dvo7v`Ay
zrGzrMg5y_wDZ4hc;QG0@RL#0>Z0zJaNv(Y=c+LyM$OLySP+-%0wzj_x`<-MbdZ2w7
zA6$Rbw^pwSG1aX)E}}j-odcV%;)P|LP{c^5LDht#Hjf?H|GdZd%n$6<Jh+TUUJ><P
z&Cvi}tYk5=tpgt^`8liMvW#0PwR%VjYQVs1`wOm9J@~(eO%ZN4mhp8B73s(uG-zon
z>6_3Pz<t9@_3lkA<JTPSHjS{;K+WXv!@#g1eDREYTW#zL9`K9WzBf@FY{&{y@(F+N
zmMe4CkIYu_PU-tTiQMWy!S#p(kz@G&#<N!}bl33jEdwek=~O7N^AkSgJb@?6%wHQk
zx{lLZ{x@kaLj_;+eXkwKQ}}By{+I048~E5M;jHQs3W!fN9zMk|gX?Yl7Jq5Gg*!^z
z@c3j#0T+hLnVF%pIMuv(Z|)5`v>g5L<65~IsAYQuD9z5{yUVYX*xsT?TwP^Gx#Oxp
zwHavdjb6Zm9-KRnS;m0Ac_j7U-M;6+9gKbMGD~=DjcRA~3L~1948O7NO9qXop{N5t
zm+`Tid#_n}GNX&d7X{~EslaJDW*e{9t9a}`HP4J07PKMs*0q971tzS+Zts1yjt9Fa
zN*pR;Lx#oYwvxR_FkJU6e4=L)k3MsT+>ykA4r<vX{`#N{wA32;=V^3k-p}%0P5~#%
zeOYNFOH+pCm6a1`zS5&}t|epm6gR3ok#qlFp%M@)r=N>xG9veiSZ1i?MQI@!&0C5}
z5PIWt^^FoHG?wU;W-7{uPAPqCG$>O9yUnj|OSUYi>y_E;u}pr%l^XD;%1RNOxY{@h
z`PtCw+p{wmCWtPH{L$~2CW2mA;DQVt2l9X-{sazT^r6rzn!A7q)yL<?#Y8#Lz!Q-m
zx-Aj(U~Oubvo8@Ujjq}Rcyc4P7osBWk~<N9PH5hQ2@#rh#%1!H=0(}uO4^12yHMG3
zt6>P02yG#kcgr>tP$~Td!qlWBdf(zH!l6rq;lUk;V$Ar_;$aO6$xa$QI4{|J;0O_L
zo!BnLp91L9*>kTQYGu%)^x*k~JR&4iXdU0m5JGn|a<5;tlS94XVOCLGim=tcUi|E=
z2-2`S;iSDJk6h}4+KV120)evg{>3OUbUFWOci$@_vXGKP%BPgTF{0PQ;;}dyjIde$
zkf4MFDPP|`^;L$&0h<!`RS6VIKfqEEKtk0lDG~OMNpRAqcF$ym6slIw3`}+-qjKk4
zE~iz=5L5TN1(;+|ZiFt|qMaJboP61$N3RBg+)JGNM`cmTr-CDq*%ZVQd9PM1l>*;0
z*!j<XltT%rj`W^asECf=gvGdv3fA@og08v>sC_ZrqUVS@>URw@I%h%y1@Bmneb0y}
z?*7J%iZBgL=GCdi|I~mJ)U3>aT}o&vW1W~)NJB|Fo?YDqT3~b5gg+=&8Qs|0Q~i@g
z109-lndG^x1A9^qY!<bV5J!^le{@6*WD(dHbvs)R-f%FP9N$nuIu;kXeYa>RI8ln*
zq0#`fs4@I5TV&+>nr>PufrhTQQtz^THG&2LZI@G%Dq6Rq)-b$NM|*{LygDBYK%Wur
zE_Of-CEvZa_P&scl3B8^3Z5_qdEMt$)KoQ;FlzAL&w_#~FUlIQo0`Dxe_0{zm()<D
zmhnDc2QrEmWk0O7W&*6C9Db3qYN(e{@}O9?5|Ze>nHHI73aYk;-#Z7Xq6F*w-dzjw
z=!;ZZjoqXvB&vS{%@8sQt{l)1mXSeD>jtKLvSyI(&Tr38RY6fQ+5Cq;i=&7Mi>VH>
z8JtP@OgQ&S8M!@rd9$!n5T%@bOa4hPgViX)%~Vb$RJfVK^6?)xQV4P<?bzluN4xl5
zEmI;2*l5s+sbECEa#lPiE|@|=55o-0ae1_2P%d~(Z+@Fo4n<P@rVym{1OFH!i&VB`
zz8~If$E6P1G&f|LfKuw?sh(_U^pN3s|97Wf*qNn-6lF0JC|df+_T`!+I`$*wscG9R
z=G-e8pOR(_k#_=@KW^<rtmpwDH+B`PA`aME@EXJ8Tgvr=xgyAZp?^w_mkv7hu=54i
z0X&nLZ|^=Uh=PaHyR#V?z~+#1y$L74+0GA#_9pTn>7w$#s=FDX>(S{kvJ?jCXaCdg
ze8#h#o5$QeHyJ@qztv+m)d)l@T(g5}I1p3j!)0X61YS#pMT+|j!A)UmInR^@eaib3
z_uh^PuKGXit3GW2N3V*~ymc7R{#sHyza$gLW!K$$d`};$rz;)yschh$pYF(WwlIQ1
zM&F5(-FhH@sW~{KXb}(k>d>t1!w3bbovfz>^k8bW`-aVrX*``b;nJUV2CzKEaZ}7y
z7i`@5Ua-54;PhK&A4}62z^TYBY`jnh`fOrHoQ!*M>N7KaMgs;2ydV&DWJ4QbzB`4D
zWi;SbX_7kvXX&Ar1?$;#(uUsm$0ToRJi=)E!b^xX^gwHgf9m&I3)<<q+580Cv57)*
zwRzsQmmPJFagfjgzJT{Lg3CX!s^64$?p%6kc$z>unV<>mr1`4b9z)n6+fGBZDtg!&
z;!HTRq5<QHKmQc&AH|}_1>TR%(}TC*6E%wf4UnH~{#-LUf&E~Nd26(f0SqNcRuv;O
z`1sZ=0A)^N=aSE9aMm)wfK<TaN8U6z_}nul^5HDDbZBvy=)wp%-83V^s5%HRWW_k-
z%wslY4mzQHOt6&k;c7*II$YSK_x4U+#EOGo%FIkKfoh!P1GGYgU!R3kv8ZM2`di(C
z#=qOh5Ie@WD}f4(T=a`Gr&qCr@Z1PDE>_THuNv$WrvlQ*$x_+&ajmE)em0J5aI(wi
z%6u6G79{na*hOz*&Zj$D&o{8cZ~s8%JN6XNb9#HPc0V0Buw?KFdF_Bu4gR<{!)ow7
zdS=hxFnZ`t9_&mZaRFVRP4FmH4a$g-Qi4wzAk<GwsZy2)Hmz?dldh`5QC`<B{Y6H&
z()WqO<`FN{i`MMoA0vaoe-XBaotfc{#B=wSuLQ6t>~eNENQMd0lku2t7MP#i2vn5k
zhqkQlcke!_z$ZebNBwCwSQYl@vb!Y!&XxCxKKoVRdK{gK3z-9y;;0-}5<-ywy<YA7
z2nhzFf$=goC*+F@6)Lp~L#n$sG3*)%V#J<p<qLDefuzG9HuFS*OzJG=HYNd^MV}|1
z0xu|MZ6-C|+X+FMo+{QHBzWJf9#!K+fU@rF$|JSApx3<ab@G@p$i>LtxRu8T6<HA_
z((F<|CGIfG{G|*$x>gheHUVI|h<bMKmIkpugR1EZ%1|zqW#^nI2q$E?DEl*H;K{+u
z;c`kOP;(v;b5<6HDbD>eEDUl`?RAUWEoQs!pIaO_CISI>bgN>c<$;~yn@9H+3B<1M
zx*PFP3|t1|r^I-PaKNzXLef(eNMQ4lXl)P&zLPaHnG!|FdFSFWdyNcqkG^zEk4S*_
z-b?8PZpy$>B;lC<Koy)n<g(<aNCDs2y8%^x75M8u9_+ND2GbJ5Hk-IKsB20+yx2g7
zfy6_+M%!MgzvuPW_7xeh{P$wPCs+*>-DhV1R#M@Qs{OYMhH`NK;Ov<3wtq1l_9+Q(
zSBG=Dr1|hG^5Cg+^&ZKH3R0KC|CMuTfVrS`hr+gRhW=1_s?$#eHMcZF`5;a3;36OT
zBBluM?tP)nyQxFm+^^Q?Wi8-Hd7@b1qy&7G>`AF*>fnF4>Y~Se9VjXv)?A8JhWuAT
z?{0lnhu!7t+{<oykUlxWypp^<CpX5-<47HDMRv6RAsfI+vpnBt=TyM^65DJ4lj?Af
zM`OP~oe}J?3i0I8CBqJTIFGkcp(H-Va_}Pt?O~*pw}=cE0(Z}h&rx7BF0<OS3SfLu
zax`s+D$MlS_O+F%L5}RM=mRmvP-oUPb5cMRT&1L9g@nmK`#aq@t7HPwH(MP7zmef*
z?_8~ff->}u{N%1EH39dlR}8Y9$dJ=pcZ#y904F)Jtr^6&`I0ZLTa&5+y=_8O-PN)X
zMH(~N?P?0jM4<sJjRe6~!aMonq+of}{RBsZDHt0Trqv%+hMRGo4mBNOK=Lbedl763
zeQL*ONpwmuksD_k&LIe0jb~1<+M2@C84tFmC?f2{Qg7YN;ep=BS6&|ora*pA5gZzp
zhll-byZ8FDz@$g`eI{fAb?U?6lb9T+%(=dr6WqXLZK8SW-Av$($5Vf$bQw5fwL*UK
zZ3?S7JALy0tTBX<&Z(44OF_QoM0w<&E-ZF(XFy`KF|<1=Mx{NK0JFVEeFfVa@dL~K
zVRdZA&?YGNru6PkXmYlSRr4CcRfLRFI+Fo1CWyrDXWRRqt-o_~bOJy2&fY&w6yT1X
zym97?AoN`2FtTr)!RZx(T8k|)a7n+R6yd`UwP~-51GfD@l+*m^n3oZR9IMyhCJ^9X
z!-=^m(gOZTfnxM6-Vi<(rgkm&a>4hHN7o+~E#UW>i<wuS8$gR>%q!mwc6h>LP&Ame
zfKTP?e?Q%?50n4GhLWOLKuOl}+DrKbd|u5rOGa29@-FKD=Eew?R?nitedh69`W9a8
z2larRb)i4>HXZOAJfF{soWoW3SO*cabb&=;`P4z`IyU;*M9(E;7N2Lm+1&C+2Ws`2
z>x^2Luy1ewq{Mj4;Qi+`JC5n-Kpx|HFR|%4EX>T&NXdR0j}DdYxRay}$Krc-JlghC
zVU-<4@6-R`|1rD83ruJML(fC|{o>=8VoF0!#Ip&UQ2RmVmbDiAu-RBv85+hYO*Slr
zQ-5*ZU%#W9OEn?<dy}!F{VyzGE~4d>*BE}=#joV5geFu~t24|#_>P_5-EcOFa}*a0
ze03!Ch6c<=*Yr<5=)}%G(0biD@dsy6y*`W6X#k$^ng8}y6XtYyc0!2x58l(A{_R&d
z4LYn9u8ylAtZC1g%X|li@!6+3WnHuC5H&B>GZtNhWo_t%G4}q(LyV=X!h+Nx=IiH=
zhqP|uaWAy!dhh<mKQdG(KAxk(C6mADlDwsOL}PMAMB;CJ^6L32+p|;<@w53N7>@AQ
z!4@h_#lP|H>>e*W1}dEB^%*tk{(zSp)jhw!I*bP^500hWq<}|@asPj{EqK_5#&iFa
zVO+a15~q`(z_m+^!_#UV_;(d@1gq^IydtD5pWS2ozE@~`F@v4BWwKQ#o6!iam>oVO
zbX^tXJm$me;=kY>RPO}MqocUcUAicyYBJoH5PQfa--GWTqg3>ikKxVL6ZS9WRDi(T
z(D1wI2ab%0f}N)0_-AbH*Q%Nd6gxc-Fo^w$yAcasWw1};1W)OZh9DB8Q@l$*6%OD5
z>cmFN9aFgS7dylC*UF%g#w%AKGl)CHn@#V3IE|COZWUi-R)$15=kd2Mhj7Ve+EuZ!
z8JtGV|75Y9o1Y)IhrBp4jE70&%igt{!;>Xbatxj;!tM9YzIuuyxYR%jXIK9`el-5k
zCr1uN=*qhI!a#To&n#;YGs|4WhmI)hy>*HRYk9|bzp9Pn>^H5yb;T{?ZNVw}lN|~$
zYo0kA9zKa@={)&wHfI%Ytlhy8VyFNVUWtjxxhXul`AGil#dRDfB^A@2%Yy}H8m0Q+
z4E{yaRmwDR3lE9wu-hvq50=5)twEn>@x>a4bRjA|DvOj<`*~juj-^CO)P>CB4+*37
zY3~_OT<T9|d1*P2P%)0JG+e~LZLNl#yugIa7uo-M7s>)x`SF4Zjb%K#zD)ypv!LYA
z!ync)WnnG<tYFfSRov)%sU0nb4TW9&bla^-2I?Xmmg1||@q?AW{<d^*pp3et5Q*b5
zQ0he2<>|78i$!gYavtSE2dAsM=h$VSlescke-}M^aBP?>OoSJC)^PuPS1t`3*K%$h
zc*%eWUH!WQ3JA#iGH#gTFAa2^Z%vI(Ga-KFXHA|i{K$wizGhfW8cxT(4&roWK^51!
zey{5ZBEt=<Dvd2E5a1{dR0wB7Awz{EJ}Y6A|K;Jwggz-KSPj<R-N=DzeHAp)Zi=FF
z=Mo<6`y>TEqm<bYM=sR)(^4slT^vn!IaGOdNP*?6K7&mHFS>Vo>2e`1fnJt>Y2Py`
z1>D>a`XY;fSPuVZV*gzV-90_gDK9S#?WztQ5?1_3P_c5O?2HTwbHmDpE=WUM;#w<@
ztRP}Jx_^L;CWl;|<m>lsNW&q40)3K#Fq+V;T*>ECK$R<egk424kX$t<(C#RTN;?Wl
z2l*Az9i8$7!gX0ty3ad3RK626^{3u?tD%gXe*F>}dm;yU7Xz7+EhG?|ALmtvAQhD8
zlPO}yuK)oxpcZyX3Na7tYCch`iZWfU$UkWz!dO7+#pZQsL_DE?`ByRp5u3zVN(Yr7
zE_gb6=QUY`UGTN3$Ej%g-<7EjcNOrbz7-2skw+yFa%ug;>d5TGSv7TQHON)|GJUjH
z0X1b9eDzzVA-?90)0NItc*knXc_~#96_IS&eg0~o&Hnc$u@*G=Tb6Y<VxKa4T;<=;
z@l+E%TvnSD-Tqt3kA?a?Tp=NYJJMeR)U*(B;*w}in>Ji;N=tE0BBLXU+$W|zw9v0X
zCd|@V542O(IEA)Uk)ZDB&>~GOw7Dk4HN0v75zhM3kHje`t19Mw-hEA^lJmJlC=Y`>
zJm=C??@*AjUx8#<rUp72eSo4SW(?|fbf3pZDCmOo$}0yY8WPbdkruQv0qysnG&k6&
zDC=Ky%xOm|s?xsn*wN7x+AUbiVizeW-8#-o+gBCQ#5H>_Q_O&Y`+|d5F$D!LmSqQR
z`?zUAe@IS;8T34ewUpPOpsRAvO?3w35Px{+n*~jCcp&h%Y!AO0DnHaFr^6|Q_`U4P
zecjB#A@E)5(^F(5WnLY0YD@?{Y@~L~*_wlDwydOhED0Ta&g{3Jl?w^JW44IrGY7k;
z<6<+%l+d>_7j5?7b-W;^)vKo146NH6i)$2#$oZ|z!(Yvfc(Glp={>3$$kW{;i}cAM
z_tgl;w>M`nnWMS3=W<P9*^V81o-Bj33gnk@UV1p?peO3gY6_#7jE@^_rO?ZQY(<w)
zR<Ja<d?xjz3DkU!UQo9bM;Vt5Nfk6sNGTyPj<y(s%*6-FaY`a6Os<&bk;(&~EVOE`
zYZya-kG-FwwE+4sD7`s3!3&%=5v&*U09bY3r+#?Ni*z4Fm#pLvU}8?-O}8*WYTFRz
z+sA>9q>E$+(({2A*A3$iB@9$9A8$L_$AtLasInZA=L6dMZ`_t<1ZK3={K=k8yaPV2
zwMg>8c>RTi5GzBNlM{Ye%)Wr{jQ@JZijEJ^+q=D3kOBNF_58XVFp4{lZ%nCo5`d6;
z=g8d$`fz8!p)W$W1Lrlp&1#TG0Iia02d`gx@TbWwg@k>;^mAA2r$Px}oz43!LrD*e
z?$7M+GabZ|=Z?ql*b{*DxUY`=IbB%H(%3Y7I*FA~+*23y2r&1$pcZxOKzr=<ee$bw
z*cs|x)_zR_ynmtg4z~XjLTXWCao#evC+pIHsu=+kpRV@p$<u~v4p%yZp>?b-%ar`U
zhXDTr0096043~L0lwBBy3E8)??_)QXF~%6X_h+k=R7ynBB9)M$Qu#_ni%L-`%GM@J
zD#@12n^Y93kUb<RTS$u~zWMiD=Q`JOo#&kAzJH4kUb(zS#uBz#M_T8Cco6J+X-7<!
zG}_WOgom7ABjNp@y+hUu5an^)t7t+R%X%()^NO&s?wi~O`UD>?D>F`x`%#efM$<w1
zyajX`*{dg#1>nJa-df#7fmf!w!v$pvq(1PNe?u2U+)mq!+fg#mG0d}!%V)vubB^~5
zju84(#J2OA$ii+>=D3h63rP++)jL**K=sPucg{1iAmX<?cKu?G#QgTfA3lrX2VchL
z_C7i2iLw3m$D8Bl=d`&8hs9A^l1*3*$iwc|WZ96VIc_!v9PrbZL~im2hXw&fnBR`x
z$v47;L-e-N9pO@VdaXrB3QG7;G|<G%W#SUAV{wqTG_3nHuLmS6BW>%@2EK46oHs2#
z;JcK9_7?B6V#2BjFkSvqmS7@llkd>Sr7~FY*u@4{)iCu@C`etA35&spYHq%=xG}WB
zY}i=?>-|L5jLn$gh>rjE-v{InE%D#owm2$k9UIjmhs^M3{_D;^x$+2!j$m)wuZiEE
z>ihBs%wV=ks)RABfXce}vcLCg!NM*)rg+>8-jAo6mbfTEOkk(Li5P8kGG*307h$40
zx$MHVd&-z*?TE>}tb>;``BsW7CQAQAFE=z)h4Jbkt;k2Z(44;^x^Nd0o%SQUPnW6T
zj`^7Ax)wcbPw_PBsbHdK)==S%uLdGFtP4?_(?@XBdg6z=IW~9=mYJWRBJ9C7dZjiE
zNxyju0+PA+94qldI!F_|6;fUsoelBXLVk&n4h#NomUTxj(}MJm#Q&Cf8{zHTd%n3E
z7EFG=FFeB1MuqV6oKHT+i1<=Pm5;N4z*C9)x$4}yoyMoDV1g_B+I3VPHmnpqIO2l3
zu({bS_IDv2E1s3Fk#n?!x5jbOYETy(v(<fiH|e;%>n4@rV1@DJ%aWX{_23y`bbe0E
z6s0^o&j@#G__`7e-52yBAMh%pz|ItZCmMEhw%K4=>b5I;ml@!4R3dG^ktw_fFP7z=
zv4zl~h(F7I7~rC*y`W1I9fM@6H?7bP>=7lCiv2W5TdTD?v*`G9t?zeclRZ+s>Ow<%
zXmBw!^4qq|1iRLA#OH?`@NeT@>SbL+7_<yuC{i`XOf6%j(l~*pXURNl7ehF&*jDIQ
zU<i%xi&rFs0iT{va=dK}vDU=?$1!0VDDC>I=9_>Id~z=tf`%xQD{-!|)`ys}q52-0
zBg{5vytd1uq1t=-<yd!JOth{pu?%*^Nl^<mdjlFW0>wV}uh7P;-yLiACOcvvXs4Cd
zQ3KqNJi_~Ll_oya{o15g;D`vml9`?|eJrwV)hOerBbiA{6fJbbk-6)8thn!kuQo}n
zT37|`HYd~LZ#v?TseM$~CtXlC3vS(WNdZmWW!AB=ju;)#ULew}1DBR%>xocV6!ToN
z*7J4*X<0@jlG<3e?geVDOJmei{t-vb5jAiA1+2WIg^SRC<n18=^<$4ruC)U`ug4^f
z&uBu2mpSgEB!Zixr$T$r1Ghuk=VBtLh!3ocAG)*<rxPxw#1X*n%@$jzFV&I9s7Ux&
z%!lh2YP};r5=eUZ^wvn3Dr$~pJpH(v7g8CXhuRGY1osy31iVtl<xR##Uqk1KtOwW2
zFGV?^SxLRpVnPvZm!lUNj?5CuFOQkUys`(qxzAtOUI8}-eSVZU%@F0Gnhuf*_DIR>
z9DJH1htv1M`6E|N6D@L%+kLm&;qOyH-8m~+tQ%Agc`!Fc9Pda{Gpn$L10RQ1WQc-N
ztNNf@%xPj9wL_IAV~aN4um`amX($}d@Xu<UCU#$#p2!QeLFn-}W49kmf!DuSLa}>>
z=m=Q6YC)YfgnlMS7F?BtS$A1cwB<iy%h21!{&Z_34#f*x<(ELl%q@!i$2lVWvv6|P
zB`bu!@Qz{Ti@{Lgyi<=456+4?_@vBR;@)-r*YRgX;TzU4(7cHk?ILOZnPHX?BQ3=r
z+z`Ra7e=OMk1xRf1slWXd)e3}T3YdXNEov3ViM0(@WH?|`F+(oHr}N)y`ygx#(Qnv
zc|9=!M2a*}|2A77eP43Y4l!X|`!3VHanC|*sQlG+f2{>V-WBC8>lT6?PmO5f4?$et
zla@Qz!NNDscKNXmA&8r%JV}WY#$GS&?Q>gM*r!l;ndA}1_@nn4juxVDyMNKGVbUCj
z<^BmoxeMdUthfJT9&vm~RUNu|${dq5v8vjY!cY}a3S|vSKy0Qf`i!PIV#XV)HM~UN
zcJFEd^`I28PBx47a+uHv5C~L}7KOXfka67wY5Zum9{;q3iF=#H^rR+4v7y&@M`Aez
zvWrfHwTLsJ>gc-F@vj(ut}8hF>#q!`<$DhrRhr=$LzZT#BY``r|3*(Nm&4qrPo(=^
zGi0-bZj|nmL@IObp5`)ntbZNZ#4$I+#wh*r%~4XAyQL<$olr#lbm%$tX$JninXi87
zCXE_H&D;mwN@y^SjaRN^puC@X(wsqo==i+wziTSkry^c;B#VK4QGdiX8OuO!RqOsO
zd({wM60*=TmI3QOij`u7EMBZsbIS|SKybF=>Lq&^xVL|7=Ert9aCnGeg=bWdx|G|U
zAq=eET$EhI<q^x=qu^7!COZ1|iV%AlU}f<<_{y({982~-b3ScE8W=`(o@GEl?0Q<?
zekB-Ev$74Xbx<X;u+i}`_xv@2K`;1Jz<j5;Zt)>qG${K;DvU93O*lAi>0MRCPVbaj
z|4I+?=dzb65oVy7ooOr!R7b~-fsH$q4e+g8GF{}B88Z4Dy?Rxsc)?0#MTgUnHn(Ec
zEh-aIBPt{LlA5S*jy|7IZHNyWYf7VwnUMa?yLhRX7TQitw1i0+BYNKs%C{hML~3k^
ze<rC7_t65eNA4z|EiGODp2>nZMaAZ%f(|U*S6r(Mr$c!vT;MF%TQojR28K~}VgKss
z?$3Knk#kX-nW@IclIpcJnR<GNrry}ULWh9|!&%aoZ7ea;>(Y~<tB)jF^vsC}2A0=K
zWLAb*!F->Wu&1H{h{Ki(D!6^x9k<?9zStUjGCdR3rwnlXq-2RuF1LRda;@}5ZNd8}
zEmygU2CJnZ7lKc5_bVojDQvSt(4cS9;!r~@`DGTzvSA>|voNgnnLV73m-Tf|8lvze
zFYj2iDfFj<w;!MoxY8);et)$Q3{J;3XB*Qocj>lTvpz7PdrdJk&In!&iqhus#`qdk
zA!=9(Sl0(hN}V)9h~CGw`!Wq-|0c15%67!fxLRLnF2D18|7!6bHh_0u6#s^FN3432
z5pnsKA>tI?*NU_BaP@GxT-+#^BlJ(Bk%5MgeLZV!)vS#(Hg|g0>pJ1yhlx$v*)-f~
zYA98V)Pzi!yGDzX6HbUeUAe!?07+N=1P?f?!>eY+_Nm2AcyeFB-nT*@A4hlSdv++{
zo679qJ+>3rjd|(8*YvQ2H@{)_g&eg1$=->Tc0$nD6`#}~U1WJ}-<T>(fuOw3nq3`^
zm@qg>H0tQ!*Nz|`)(vqSyO=~jdc_f0;wdwCJGCJBX{Tb!oFG0Y_M4V1afI%txZA3i
zG$CuhI=$AG>$(2oo7=~MUD_pC5i6-Uqj7x4)$}<+C@G=O^D=Nyv-PE;u{xekj~`m(
z`Ik6UGGxH80Q`zemqx!=!J+c4FZ*`>B(}VqJZXD}zz#3LRPAIX{P!@(N#pnr;?4e1
z?Uo(~=uT}NwLPqWh4fNU4bMU1w5P{2hN=T1e^tB>J}U=Vuh7VXpI-^vJ)0b#uCqsb
zLz=CAl?+TOBsecs`-w|OqRC^ac5qKUcwtC`0*=P*=c4gnh~b0TZyDXTV3Y-}3%V@@
zD)E37&(lvB<yGIdFtEjNWV_jln-ahx>+qK4Ux{0d?2d-LHe3Mjn@w6Ih7P6W7hf#?
zMo5hvO;D||MxMtoN8d~YUu?tqo8Al(gQ154wKS|Db>rM~R)7$QI)mp2D@TaWL%*uq
z4q72oI%GVzjyw0A)b-8d#)$1aCY{U<O9(w%9~`<@0839TJKwfqg78^4!|k#q?!P;m
zv)hXwsk!yGDb|z3rp9-J2XffBbms4>*6n<FaM9JW+u=7+>t3izC~()GO>yS)7T}HU
zgw{L%zeHluWzze!1@@>91t+R3!0AzOeSzd@;%X$n-Q#%{Ty|{`J5$694V$bK&u_Ct
zx#Q1F_k%3Fj?Ula63L7DJ+oh~teq!Vhj*zfOqt`3cx3n<A6~@gS5Lng=fPct1%Z@k
zb1arF-eVBJi<j(#yCH51aQ`+<*pbg1o@4i_TTbxe`9{BpMMZoFuy`bpm%xPO+pgUn
zZ+WrJvC88qO8}b^Z@O$yXM*>doz-L30!;jQwE95(LJaaBTDPmv42O^ZQ#n_*07n_d
z%QqbrLY(#04bw}_AWCg`p1+<CGuaV$lUIu%h@r}-^Nj(@CI3o$b$*<<Z|k~eu^8I?
zpS)F$XCU@?|Fg0=e#mz_q#oTUfu~RDHx$hnxbxn6U|>!FZ({Jqag`J_ey0AeDK`a6
z-sD4@h9EX+IV>$aB@Ibk1)&^uQ=HFc=6u^Mgl>-d^6RY>BqV?NnwdbyM8}!@hqb~u
zr_DH`<SdJvxuSD-Md@f7c}SzI6-81`2z~i$IZQrydjD&(36%Pkc58`<<NA!}E5C3B
zY}@RTSz=}a6L$k&({B<e3V=v}r4pQfjSUxd8RPn8^!gl-f`=q2x>i#Ksw%}7o?bVG
zvm!G`Gg%s!77TrrWT?Tla`TzFaAV9rd(!yo4F$W_eCd+hssZKu-(qLh8>8#^>Cj9S
zS!@YY;1u;xajLWCNAeb92nFtz`*}hROKYTW)@o^i(%{spc*+<hU%l>smry`Gzop)l
zC~aIE4q}?WHAc~vD-RD9DWbG7xnW~3mm7Dp1QytsU~=~-$2C#Pc<a&VR^-R^Wn)P<
zfp;dzmiFCL=&Op$pDC&~{rV8+-Fip*G9A$^0!dDO>QE|7>WDc=L*IkXC9DKfG_#+y
zN7+$fM^68#mN!EG>!m?18yR58*;jV@Xd>n2EKk`ZW26eX&K*!R11sWollf6C9GV?G
zy~d4>0=HYM2Dmv<(mBM}?2$IgYkf}_)|=v9`KKk8qfGckL`#(p>433H<X~JX0}G2%
z!k0;~kikA3{EW-B*XlOCgH~oJ@qXz2ZIuOTy{#pd2k7I;rpHS!mYadHso{ZN2^)30
z;s^cD8=!pEc86>QCS<>=oYJ+mf=<b<QjrHV9PlWu+PZ{^Wf`Rgg)P?TY4!}vF5~7y
zv2M?2u1sXx|JPs<XN%&0ZHq;38KE!E&Q_6|V{eWL?yj)5$FjTnlaoQl__MHhW-`$X
z6Mj!eqrW?#ddsOhC#Q|!v9S11c_#yrE1koiI0Ff{2Pay+O}KqL#KUekMWoA_&4zrA
z2<gA{`N#nil;3}~d|#3YMnW~ImHCdyp6PRuS#N@(cES7YTz*RGCq9y~bwWqKQbFvT
zF&zH(d=yqPz$&@b@+P@X*wL4}-fgonI;Xd-$XC+E#>2s%tN%FRky7DVw=+hFf3s6i
zj-mw(Y2VQhZD-u&v*o{f#1KZ?8!f+Ds>9r^DkYNcjN-JixY<QCY{-aTS)ZziRZho#
zq^mgNG!dw?c~Bo40}2{KcF90w|9YZq)CtyRNuTW^^tfI?DV|If$HAqx9(wss_;@fV
z=I@{m_Fj7t&L1lPR_=6SxQ`RcZ>j(N&sQ7K`~8juI{hOuN?vA;{c%KwUCh>&T1`Zy
zI2_Aw8Ye8P#5@ub9C7w_?cqs+ij=vAH%5$JqO9lR=j$4dIF=>*R5?x!W65=1c@d8Z
zk%8jdZ|?zhDSwUZ^Odn>>iUbt`R_OvGb3xQZGo^l>+@qX3fQ%l7lrG4IIsW9=6#<;
zAo15p$)YGZh<NSIQ0ndH=)Zn*tgFxggC*>R#=0_iST}F=ZtZst$HYj7uhky<>psYY
zEs#e3jYkXWb%!|WGAbU*eD<h3>u;Yzm4LZ{c7uA(5XZjUJ>~+-4ti=9vo_a6pd;m-
z{D3~hd6%y3ek#Nk$>VAFC&C5cneb?$@y~ZoL~d8qM6L~v5?T`d*ZJY&TV(2F^Nlkb
zp*f!U!y1&b;u|NF7QpwQ<iB;AUpa(~Lf9G`Yl!a=lW%x7Pu#Q|8QtB`$H}ZQ7<>_L
zg)a(WW8G~tgnGEuPu+lCPDOp%$NU~k9KUyCxB9NXgztlEuGHEt&d+1LBUQGRD0R2<
zuiX2KSRHX-wx+X{vvPm*nwQtuc-Y$@9sPNNc&~S$uSL9x6FHu9@gNTye=4RXIk{uR
zRi6_MQH^gopDN0m@9wa`J%`lR9j8Z#ohHAqbL<7@wb|wS8Z9jBjY%=i@faj_^v~Y4
zm?-CTjaTIrE@6S5blRZh(g1PlO1;JNqT3w5&$8v#mF5V|eD=_Ec|S1>PwQ2$5{dB>
z>Zunj&B6ELJ1Z`@kC0k-Y$!tD5uyH|e0g#a6T7?`qv*Z8gwtvDD_PMb5yrTdYHYy-
zg;sQI>`o66yyow3X^U6HL}hE5WtkaxlQIw0ZS5wOD64%KdQwmL<^SHD1~XhMoZ9_%
zx{Elcl_bAV`U4^6wehR#8wS2PI!txWcM>bk9hNw3*G!xVC|snxj)9WRj*<MqokYjU
zt`8e_v=W&abpawxrr07a{mh!tNvL-GuxQQfAQs7q_I;V5Bk%FuQPX9e#G*U$LoUOg
z2sOvpi8LA=h5-lX%pP|VNsZc0R}6cJwAG8wOZ%H(NqEsep5QKmM__6)Z{jmCXn&<m
zE!i01Rw>ttgFX>Umo!`oYWzYBOhqf*Y%)S?>C#2{Io$-dKkk}&|CJb0e%gFo(Fmpb
z5}VCadI-Hgi`_eZej{!d$4%YZWQZ-MXO*7E^b%fMby_MMhKRn}Y~j)SG-#w%82F$4
zOz0jcWjrVyA>?Zo?sVg$;q~FO`~9Ex5sYM3r95klXx(wQ;+CHQs(xy)Zpif$I<(>v
zncQ(gv^00gc&R>|+k+OKz4Db%+xB&rq|;BrBHsUkj*33IqSu=6Ec!;!Joopj@cbec
z8@B(oI;IDUBPR}p=nN9!zVxx|Z@&qNs;YGQs4gP&bd2iR!-VR?Y>zWMQv}Cm<2tbb
zU1S(f9xFOJN=WY{Vq})j5F2*U|MWEJVE>;;Z9}flT`ju5L%Qi7kyoffR<F>3z7~7G
z%g{K{vq-w@=W-sX)Ngk0XwU}l&Uecq_WdN<$M(<GHS@x!R<O#;OB;uI+nTl*{vr-P
zvlj}B<AXM(Fkx?x7Df(PourHYA#$o*1f@3#;8W;$$@$${Tz+jB4N#jR{$-tO_6`+9
z;D@OmDPb+R)q1Ne2$~`O<7|vteP0;wGtU?v%hrTtoy?Itga3%LsSnS@8;ikXWKQAy
za!u$wQvX%r!vj@Iw#M9`1S-?T^2BDT;Ayz7m(atD2wNA?<iAoF96mS7TSP^ud|Km)
z3w-E1N$Xp9lL7}vS9;+-Di*&~%D)>Tfc$+sPoIjC#h37OwH#L}m&1Dgo(BZ6@?Ss~
z|9|p$$YGh*YEhvt$l};M5$5t=xBU#)BX%Y}^Ik7SMShP+cc`TpW)A7O653qPiAJEl
zG!+Ns<&U}kl)%}HWj3sOHI!_4*MG!-ioqDSJd<fDaGyiEwjUMh-La8@zEnJU@W#eE
zlLFV4*)>1LG(k|GWF+TN@uec-T5gyu(sx#4S&lZA2kP5D*3^W}Gyl3(+vQ=pamVmL
ztS(-5DtuV;TodN^-?Y6vuZZ-o9jyt+^|4U+X9VS{7Hl|Q4%!STLu1wUyy}}YB-ah3
zU%RUfS9!LXWjMD!e}#!PpN)|2x<K*foDOJl5`uT-sNkD!uz6)o2UWsNr1X{^)Y(m2
zyUu9h6#u}so|O#zWJm5Dzij|Y^$ne1C2iCfJfzc4nqk3a%4UCYBg{$8B-K38K|yur
z`|1)V#(uR2X!V=m_|-kj#=`WVBp#LS)@qL7;i)AzxL&i5Fc%UuF~G=(yv0lh3tMH2
zy!ekY@!fC3c9l^Yu2P;3e12qsk43whcy6=sJNf7I-)tkiEZn5Ka|IhV`5qsqc)7WL
z?It6d2iG5(X;S;r*kG$JZwpJX#@&&M08~J$zYFXSbX*#EdV2008;rCQmppCl&@Cr?
zMT^3K$*Q<n6InJ=C+QQjKOIm!wNR3uTbJX9#v8W`EU=}}XYNP?H)c&BMPP~npUm1z
zv2V;FJGu7b0x53JUEJ4v#lQ@T7d)>%7GT1?^Wt+46K6QNg|DILm|-We->L4sDV87G
z`=LhJ1qr<0)0TZ_V3_B`w3@0BoISn##2Q@i-lA#mNE8EeuGPQYboJ1h5-}#@>I#9%
z^X+~4rdVCkZAdZHMDg4%jl5`AWW7+_ohV61PX1IcZ?z(Hg&*<C9(2Xl$BtEDG-GH+
z{mnf+Ac?Z!Gur&zbMCOd_UMZlf_**Fqs)m1aj_9_8F0byJ@)Watv>QaW+w0Td?YlF
z-#WNtrwghSFL!!J>LO%+)%wW;W1QZTQ8a-LXT%JAJ2jxJjk&xpHNUC6<h_?1TOGm~
ze_J>TpI=i!)9H@g%O^zAL-Rv3(w*?3ud^XTO$|xw)y>%Y;^h6n9Ut$_IpW&z*;`6o
zifC@haB~TkBIVMb&wt;{&HGv&b2Fc0QC#6{XOkmM>b~$ZNUrDR`h3$BH8g3++SZ6$
z@1~F^$3rCt3BbV3ued)(6#DcSQN?ZwNjno$T^30oI`x8}-68?}Tj>$FT~vlVpg4S@
z=70n0e3myV6Z6Ekocn%fMPx{q1$sR03HF$s(_#jT{vtfZJIW~|6f$s2UV-&PJ6P*K
zpyWOsAkuF9?KC4Pq<GErlE7YDWQtpTc|xrxoD}8;mL^b0dH+w_)6{Iy!#v<hbk=hy
z3FhhB0w|<X`K-X}KpUvFJ$rku;0x!=^Rn-G))ex>p<7o+9$UlZLh2QZMPr;o`IQGt
zH7R7gXWlQmlr@_3MW#y9e{noZ^X%r7Dda2VAZFVhD{P-qIK$XC%}J@We#~b;AvNQ&
ztbMyIA>ki1{<>$5^R+<iL)uab$@cMJV}&Jm&K$jXKZ=(uaAJQ`i=~hsqslL_YuNZt
zY4qHq^?c;{w)F@1HFMXy+9-TW*dSK9_r~Z5kgG(+Eqw?XlG2l<d;F~hoL`)Lb);n>
znXg{6bxD;B>F{V@OOBrf0!7?X4n_-+0`aG-9&V5&Yx~no4*y_5ai0x;j*<xJuOoA5
zOjeG3$1^Ug9M6KhxR7i`ktk`F^)c1AUyjs$)LEZn#KK|YleUAN;-pYmuDkO)d2-X+
zKd*N-aXn|};KS*^5+wOTB7e47fn56O%EW_MbI{VJYO}qh$oOKBZ%w}yN&5ARW?gpX
z(3v#R`@@zd7Y{l%N|`H@_5IUJxBp{e@VU=-CoKx8@6xB+7tdv2i$ndVm)u<6Gihk8
zBtu$0m)N#(PL*7}`?yqJ3KLs<>L)j-$&zU*$xC*fQzv&N>8sH9GqJ|Ms$YU3M>>3K
zN^Mu6k_G3l;z9uT-wTHi?)8)>&#$@@Ow3WqHX(lJ@zqS6b@ymK7pFjO$XsvWIigAS
z`D`p);l)Jm{BV}sYelm5glG=yn--aUwT;OMWMYr<ON*0KW%6#2bX5L`HhHM6+G*=?
zCJxvCIxKQpg)EAekdmC$A%(L77e*E`F??~?_pN+t<jRCY!^YBjB%`R}g4Rzato}=K
z8%|Is<36qku`|>sm%O^Fcw><{{^?zIW64p;MRjenFPsfXdT-7-$pUlSNiO8!AEc5}
zo9C}xTt_1xzx=Jd$&iKCh;yA;)taPYRPc^FL55_(?}dIVDp(L}k$t@NrWUESvhb$G
zRwJ@IvwovZpaq1B&c#^AYLm@k|BaV>7?VMJoEM2|vBAIQmcYe89rEe1Tp=k{6H@i|
z=7%!B*cj~m{b#qME?M(_c}Ug^6ViW+Z|+EkCB|b;Sp_QSk*e)`K9)Mu$;%~sR05i;
zAb*ZFmiSqZT*MPjb|=uuVwX?Wt{v7m+kXAmhje|CvA1%mcP5?u6~FoJ*<l;7Us8PE
zE;b;;_;?G`_t43A#@h0>e0HcyxWKQ|W<YlGmr4BNrITBAx9KJ**+T}R3o<-t<k7-s
zjCpqxGF_;_-;CyfHEUceLvPVY&(t7|)-}dt_D#l@(?$fI><<6w*Fqy329`NoR5K#q
zT#}6w76*b7e@Y7X)5yb{B6vj$Xyoj!D=C}y19Jl3gXHRH<V|g@fOJU%^4!xyf7l-Y
zP4}ZeaF#~S-z|T9cex&U{d-r=85KwT4*&rF{}fnvJl6jgwfD~6<FUu%vG;R5i1Ljx
zqCrYgq)-Y`gp!IPNl8<PA{8P&*DOhc6v>v6$ll}U_wW0U_xs-Sy62vA-n9XL^G_?O
z;wuN^qK1<sv|XXGh&Wk7JLUIqLxu{PUB8+kkSveOjQm%fLM%aaOa0I7Q_7eeZMIjZ
zNESKA$#+8HEP?P@ea4`!j4iKTZVsxF!qI)ybNgc~f$f`kez?67Ccfl*$KoiCY-4gy
zqXR7={xjN_yDQ?Zoj*isBt@{q>if)N2TO3NN}BuUMnb#l-Ht!?1(D_*uh}YN3B%4k
z>ADUI=s}klq4j_t8$)&+r3?ZTQKmlZ19_B9tn~G(;X%5pc;8Qt0O$+f6N5T(7|qhc
zAUDo|ZMG}XnY#g?A*a7oRTe+*=(>6SEh{FLOa0r=1yGk9tLDF58o4|dj+T*_(cbIX
zS+fu-wAiGdwLc(<`Ip^0kBc+n`zj%Jqb3Uo=8{~AxGIiWHG&UDljw0fXVKzUc?)o1
zI9ll3DvHsvV$m$8=}>HBOK{m~b9fo}&qmoy1U>gL(J*G6IQwJrn^lt;lwNVG4XP1B
z&UIVS+WIx3Gu7o*5XlT|EdRz#_zNPlBXzgNy*1+6LFrDGv!+ltxkIN;e-oZDdCXQc
zzea>fnEgokX#z*ciu+S#1<;S&P|;nnPK5DMuST1gz_VJ-jBIs&Yy+S396@xrE0dvG
zBGVX*rS=4^y7Hl$SM=>-b$T2r*u5#8*?0pWlkMNkcrmDnwA8@PfC|^u!{maDfZMa)
z`af14obg~tvt?z(`ZqydEj@<d=)GCEl8qagULTdC$uZ%n_S+BNxfnu*s+wGa1s9H|
zo6ss<nNjxm&NRU$1K_cHJEr!86Ri)N>PUUWf@(Tlp<lKbfYs~FJR5UPoY3`@_uyc|
z2jU%DH#O>mxSLT<F+C@KWR_#xn!t{oWkdc8+x3A{ntt!?Ne-l&Fr1PiaiVmB=+wOq
zJ-GbGF2k9V6Z73Qg$3HVFqzHqFWFxY){g}QByHow$j2R*>YnnTS;du%)^%M-koeQN
zxr7s0M^*D~ZsSAdnSW*V>ALV~hrR`2%Z0i7ZhWKd<VWi)rzV=QE{K=L&BU*9p`YrR
zpAP~B@R507#*Ho=XbpcX9NEE*s&aZC7&AAa&|2BYO$j>i8UA#=>EgkKa;7)+-GUf+
z*)3DaOb6t5s;xON@nP|=4@nM&!sxTT<eSwj1?bv%Tzd2Q(Ad4_=5m$@o>O{IJ@c9Z
z^prbl;YavUG>I^i(G<hsXC=Wu&Qf6UbwS4s69Merc06XhNgR0}nReaZPJvsa<b!Wz
zH{q6}ZNWj8B(ZIEuY`;S1;jS#KZ}(VM5U#FeaF0{QJT?dzo`HPxVO%_o!1gVUj2gE
z+zo#8zho&|W~9KiD)~xq6Gnk|(~6uFIZPL&8;W6|z-)Qs7yUF5T==b!!M0f*!&nO5
z3-MB5I4>^j<+v!iFP#z?_f^18?F(;t)hSSr?ydRVLmUSTnd`5nlCZ&?Iby_(0;y~w
zo`C}rNVnNYOsPo`pDG7RXr)nr;Xzc+RJ0WKMD~(wxRmkq)fbO~|4`s?DNFTseHpBH
zsT+~!sDf!+u-(pC2Lw$<Dud3-;_<*@4eb<FRC6@At=ggkfrqtrk^JRQevWZ2=c^h@
zn`r;H-(MH#;&y1u?UP3h-ud@GnKaNnWkF+9QV*OZ{$<*`E1+>(@T=2`n)oMFf1ks!
z9(WX<{k-f<!b4yC?X=ak@Jjxtkl-eL*byn{HtV2>60-X3U0h^LkqHP1YBYdbQ<K{d
z+9=^!r}=<pB;((0Z_oN|@MR^<=4QW+GKv=|WMxWgqv{#c=-uqbpf;iWFi}7S_n5#<
zZ!>LdkMD1!r<uU`dn*IEZWYwn7BiEnuZ>0Q2jshAO`%gK;e+BvpG7Wf3>vK3ILtqB
z4;sy2*XCwz9aS|9(9kOi@g$?zsWaKJ+!pX8-lBw@p@zznPp)s?qlF@M1^P#<sKEBq
zp*nX+4J*}aV~yA}ad2?EuC)$;xQ}w31e-bv?rzMyc~l*f?WsqCUI9>^AJsQlR>KCz
zf|qt1?>n`WMwO5(;hKYtfB>rDLz=j`PJ%L?O86nWEy@x^ws7+O=ca}^&W)qg{fams
z=5pMn&Jwn)tM6f~QN@^tUUQbJ3K&_xU2A5_5~9OR)5}>@k-X!LeA$#N`m<WlyRp+C
zDzoK<qOuBBN_1XGNS8v7fO*g4jdSY5Rp#%i%6Re1J)Y=zF(l8mT?(JI1U;F>^a(*F
zyxJQ&ex_as^YgOo{6Aa5LQNavw{a5IreqqX?-xJ|Y0TrkZ3!26dAdJTDBv|-wJNPz
z9?XB;DJ<`936(a5=Nc}`BRysJbZ06%x<_$7a^|vxhw%$~rcQF0wsY5<pFT5|{A@fb
z@&@2HO;M~zP8Ma=2KphL9_5RYWN&!^WT)+u44IX}s~pTd(mtz1bJlE7J`+IbziSr+
zQ373i=bO#@7l>OLGpF;nQK91Rm$64VV%RM6J+mlwmbmsUJuK;(1#}G0Gkz!%!H8oa
zdsj)*M83p(f%X=2Fql2nHr*qHeY5NJ-1jGmn=;zb!=mPpZut1%IXyufnEA8y<hKdp
z-QGHZaxXIw<MeJAdM1FHpB5FwA5Rc0Wd%)i`KD0m-+yu9KYsi$%NlrRW`dwwt9hoi
zYywGaW<5=OeCS*HgtWI{lBhX6OP}aq0@ke+CzB_*aaC865>Pco-20x{Yxl$$Omp^1
zR5Nm+PkPmelf(>RagsE1g25Pixhn16yK&%3dPnP<!db%MY2J{Kw-GqST_E^I*ie2V
z^0Y$eJh4Ce)VjudLul?uxWDw06|a14sJrgBNUT1Rm3>Jugal%X#M~<u<Yky>){j{x
zTm@TS-@j)7f4hGt-Wg`bYkrG|NW?1P_}@(RIKKfj+)m-CuxCb|H*eT4@zCMurQL3~
z;`Je%vQy_o2NQ;5I}(>2=&@i-<<T8ReK<mG;!sLuLS_}+VT=0==yu`6$EEXn(D8Tc
zLh>ml?Em~Vrh$nG3*sBI-m>U{SJq#yFOf|6-E0R|M>6BiTNZoA5_Lfg)8e<~GU3Oh
zZBz2x8-2w5(!3|33wlm*zgy>-@aO!#t%k4JusiXm{%F1qXhbi4yK<Nr|4AvoPYdNh
zk)#6mDVh#E`6P5|Y>62i5)bxC@8-e|-7@#CP73&YYOlO|&Vu~Q`<?st@}R|hzj%Kn
z1xOJKgBG!@$lhycC`{wSpY*G8pg@6N;nf{AXV|dlT;bEQ4LxZzptGfY(uU|BDJj95
z>^LUIo~xNHfMfg(FKy0g!y;)ZLGK#}o_c(d_-|zsF5a&sl^STn^pjco07EW3-LCw5
z)lUe2v7Q_@_(KM!CQ1jbiW^-bVs0zX3S+IYLO0(jGE9}<F$g}vi<<9hqn~7mqBfUD
zpSJ)R28Z8%p33IKP|kDtRBv(IJRNcP3u-}A;$)?3K0n?bk{}YdO5&dalXRmPE#T#O
z?>zHP06BgOkB&P_qi)Bj#k)OP(53SGUjOnYtP{0r(E?d?>i4vt`%ep4(IrfKix9e)
zhb^lemP6-b7aVTv(t;&@sq(Ld!uXf&;f=2k<guyb&EmUQEwDe_#FwTkii&q`EZ_L6
zfRnS8A$-kRu%Dz=u&G%LeKOeII@>DZTCvk#upz@&>lE+UD-vj%aD7&%Pzim4R&_%9
z$Pi`w?OfpjDHPG$Z+()af}0|^F0Sp=h94Kq4%Io!p!aK&`*!zLG4wx{t5V;!A-%Ew
zsBnQSZXSqje<-bv=@sU}Wq}l!JEt37K*-^V5zQIybPa6PeaTa=q61!%P0!of<?&c2
z-L<Q%S}0J}{rUU44(QH!_-tBMz^tOJ`PaP2xV|sNV0=y&oDV$6kdsx!4wHhIsQ<L_
zq;T>dW1bBkHO%ZcYpsMy6)HC7&D!{)_{MyrwE@IB3svMERK_i&{{EjP6jUxfn&x!N
z5H_(SmBxpuAa{NIhnwdpSSoms(#B*A$;zBsq)1hC%j|qYcbkGqyG3HsVogBlwC8xt
zVKwZ#Iu;ifOTpiknFW))W{?sd+3v5Wjs|ZOhS*IhSTy$5JLRr9<XLRFU)rvY0Shn7
zqsq1M7GJAXvpf~lC7G>0?a;vLA8O6MEZP`)=K8waR)BL8T#~$L8o1k|!c5LW3llO<
zyrxY93_IQ^bjZ>`F5hlpOA!r}_4O7?yl4r@)5*^%;Tl-~%9AxRR~1WYJy@PH(BPry
zd*=Wl4eSba#Q}C@RLGS18@`_gvd8&Me}$^!;iSkDsg5N4!IQka_aO}onCG(&=BT0T
z?&!tl>vE{OpY}ngjs`pR-X4Fsaj#}_T+i{3QpmRY;<;TT4U|X9Oj~1A@EGsFT6m=>
zj%q%=DOf^-Af?LuatmcF-)@zENmvjI4c$|_FVmnbORT1%PZ77KF*jF!;l=uW5_=DC
zqrt33BAr|)36ELp-5rf&!``@R%9V9XC|uAAe$AqQem3V}+=KxgvaF}qvn;{O_2vGA
zR5`rz%6y`hVTm|;pub+q+7eo1M9eGHWKq71g|qYgBq2Nbt>N7-fX@+hLsd7W@W^$R
zo{E&;1nV)Kzk7oL{w8uZP0xwrks9*~zU1#jor>s&P6L!M%&KjQ5XA|@7&F^16~w{A
z5o5OvsIWDLTWhPDFdnt6Utgl+Q029xWV8=h!1i*}c?Bjxq)RB87PPCO?r~eU%e-z5
zW*@t_K5_`4|MhytK)nyt7WedDAM4DZ=r_NDg9RVns?5JA&i|2mEW2uswr&a>1#R+K
zrrapt5T~0l*+30Fq9#VOFonW+A^)e29LSBarqPwP)CZJ|dmZOZVEN$%O5Q70Oub&G
z3V~(RXxR&P^i9T4az9~e{SY(4b^ZMJ&G)E4A%|X<G=`DW)|Hu_jQHJSqG@6!mnct5
zTiUmggGgU0PdaVrdd8W8PQlhHVt1N6vst4dkVNhL2l?o*%wzTNW1@*zdDlUjQ8fg!
z_bSs#QL6+=C|2|fb1R|p;>1(;s|GNaq0nbxvrGuey}96Q-$5igZ(=i_)rZ{_-Od`H
zMPjk8a8<CShgg`~6CS!>AH+W2C@A|iPn10^s2XP*AZXX7EC#>o!P$G&Ugz%35v?x#
zznyG{h_Lh9;}31tgO8ugZtLgF5+Co0|F*jJhcG%Iu)V!f7k+2wUi>gIL$qX%d~h5Z
zBTOe`rBzIIA<-Z;ck09pacyf<_oJK%!cX3$#k5=pe1=~%lQd_DBz(Tg=r=`p!sI!6
zst#~O?s7;Gogp5mMa(Ig&JcP>vbP<nr+{aT^{RsI3=tuE$g)Xhj;N_?i167#0j<Cn
z9EZbah`PIh0lbn6#F?*w;s3g|!S%yvNy^_D!sE!1Hg~-x;>2Y}-nAfY*nf+-dn$gG
z$R79M^9fiXMm?@%C$Vb7p!G!V$!&9l^5ImA%^%l@dx80<?Jdb*vQWkzWjasTNB@Z<
z=h30IlUmM|a4ndBS1l{(yg-nHLoMF0F(A*E2=B!*O;F%%&Y+|&68XHViY?KM81g9s
zUNLAwF<)Ko9>!%tb>+8wy%;mTp8PgAwnGChPxhPLythKM-rRRn=o<?zYZiwL<*38*
zUM}xLN7o4L6{m)nS8RAEE$PrKt2)ST)hzWfphLF*%;<#)4pct1ws8Kq8l;>ppHOw8
z$LfWLts)Ct$Q}SL!ab^RnD5fgsLKpk6%uD9b&wbP^!;63cdJ6n8~Psw1C03oj;lXC
z6F(Xx!B)<073kY6-ws~PcsV}zV#rAWTwhXoNItFt&$3<Z*XUSLkdZbk!6JyhhnC95
zI90&n9qrpp0~<PK)n6mZg>WGxec)NKGBAi4Wd&ApV7x&}w&^VqO#bn>P$ozjcB!)2
zF7|R^gMD9XK&BWz4E&R7W3CK6kNXm~8u8-AaBf2Gs{{%Zo3=$uDFa=g`@6?|d>EA=
z+&-ftjj<z)QI7?cVU0PQ8opToS10B+iF(VT${wYeMMY%@e_K+L)vyWedbYmWS}%tj
zFL^?Cxhg~0lDVSjF(E8{nSMOcN&(Z_<Sliwl_Ak$Z^d1G5!~yy$N$Su5*8A(7gJ?b
zAgH~@u}V%1N7wRLOfD<oi9Jo>Cht^0K-xq%TUP>$xg(+{oK%o<v!E>WfhyF#V0G>C
zmqMMqmS69+)KKHsJ(6Cr8hBg0)KmH(gT3OPv?s+hP_&<x^^!{id?G56Zz#!O_5DXY
zDcoB4QQQB*o_tMsVZ8UAP?$V=@cdXaq0>f2ji@DB1{vI*_3^p?RKU`!cmC|0*2WJ{
zT2mY*wSh6JOqplHH?W0<7{6?zpjTolZNX9pLPi8+pOq=0{UJ+oaJCL|<iRDLDqVn@
z>K0qF3SM0h^Y(Yu#b0u!eRl)&L8Bn-SJ+)u{Kk8leC3BO2D~{kWN2*&_a9&P4_Hyd
z(8Io-XXN!Z@=6P*pM^2JG@8$3p=sc9=lQG{bv@*CmfPv&WD5FvYp2b<HIXAV+pugz
z7gOhwGJXV`Lq%O&&r=sIbjgo9Y2~Jibr%#?qLQc}((J`=!%4=%Mcay)U>&41vgXZx
z0ALwoVl$5<qu1pAt`!RkCi|G_pMGNrS&z0h^*<!zCJ!D4-OFVB9B}QkQ34G%mQwVo
z(`209a$`PBMFV|I#z>F#t$^+JiNWWKTG%LFmZ-YnFJ|6X+&WZj1;@Ny-Bvg9c9)yj
zvFDFT*zD4OcAVWB!o2M#_6cet%Mr@i=w?|QjSoDYqHPUbY$f8I<?0){&Y(#ACytcf
zT2UKKYtU#ey;Q2HhJ2SN=IX;Y;m7<a+eId85Us2fj6J1-$<zt0_!k`5!zR-^Tww)^
z=k^qlA1NV^5MR>mm32aB!Y%BBrxl#wabMI&63RYL;~#!CN_;&3X20q<4Z?K}3oNwB
zqbM`qUv}#k)XL6%k)uI0P&ufaw0&L{`DzAE*>L@#u7Aw{j(?UgYgx=$yjdDeWaMs+
zZJDE5iQE|sJz@!M_OFD$)Qh9zqtA}{CacuygNuF|0|3W5y|0l%MUZvh?CNF-dXPIB
zm2I>i!0%|{iDoZBJf3UnX8e%>Mrto>{HvjYk|Xy%$5?*!*K4$&XlDfDK$`BMPZsdJ
ze2d+iciedE@|!1tN0@*$`mf9NK69uR{^~Nl%7(33^2hJrW`bZ_QrcZQb2#`mbSgcY
z2?e8FB=^QML2CT#FU~4vaI5k>(h+o+l~Y;NY{vxLk5mZjU8c}&pW0~}zC<LvJ@=7i
zoDmG~I!X>Co50EF9k&GaW{7YV-z1L<jL<#u>HVE=8+p)4_|IMaF~YHMO;l5Aqt2uK
zQf*Sk@V7B&=B-IT@rqr8gI3M}zqgH<@*XpSI_nkgu)J?Xe_z_Vn=b>%iv9ReTWbhq
zdSZsBwO$hPwNAb<N(?aQ%lYcEoFRz*q#nNgwVL`#w5asT3O(4!E<a|DH2{0%+^Kbq
z?^Gl1ZPVs|>0!R+LRH_WKFn;>lBN9Wq2}ZmmOPrL2P?%C%^r7sa4|c~V<<C7^}X*9
zXeG-4>j@{{)ql_fNk(-|kNH1TZ6gsLyN!AxUqAnS#8MBQY`J&&diXzTg=|yalO_i6
zx%8C!<gG4*KIa^W?wX{&yj1LO=E4Z!Q4zfR&2%BHyzN2O@HDkgiTUy1G9%m}uLoa5
z9mtF`TecgRrG~mTy56i~f}UVz9-b{aAfc)`;?+J+Z9W)RwXcX7c+HK+CR!;VVU(V<
z>+>R&EXmn$p@s$KNOy8{eJKz!f89Z|X_;yndMZDDi5032&DHj<Xah(`Se<EKrH<vf
zBr5D;2mR1=7v3~&5cW>)&sbWg&hQp<?Cs@%qw4c*?fTl_IAChvu`z$5!*@8NQ@J3z
z?ar6xA~Lkm9b6pW!T@ZZ?R}b|JizSw({O;13^v;HM;Wd#0<*N;X2s2XAY~wU+kc-H
zIPVs#OdDW=nfUF0V*U6*%+|?)t6mf8pLckc>|}w`u<IdHPX)kWYYaKjNE5OXw%<Da
zn-zBD*miGW7X<#=y*B+N8o+<-QZC&Mc4*dMyd8B>2x1CfS!vm5z=AwGDd`X=G?H^z
z?kbBwz@;xk4ZZ46`uB_ENe^x)j+i;~bW{{VU4gPANgd|!Zmz&NURWJeoychw2gAkd
z-Z_rypeOrt_3t1byo-yFIz1!_f`O}#SrpabeA$l7yGjD!aniH;wY&_ls!R>9^Q%L<
z2#I%F)Fwzx{-w90Ru*=g-*P`uOdY0u=lt)?3W8W@+1fOhJg_`Cuuqbz4t0gV&K55W
zy>CaKQv4O*W$dDD`~`Jj@Uu<mG!li&M=iJlx=2vbx-Cw1MjiTG(#WFh;&3BM%5}#f
zCD3{M>~iB34ak#g3bk33fDfa*!I`VdVBoq>@PVr)y#1-_x|dxViaLFdjXzQauMJ?-
zT(qE1@IuLENm;P_ckp|NvpV#wkvdot$&ix!-_JOj9IVRh9jj*6grP&EERR@i$TAlf
z9}1C&*xARD=ZmzUT$AMS=pY5EZ}<%=y;1<_D-1Vtl(nJqv}IP?5gni$Wk`}+B0<{&
z8}%PU8*^42S*@3<3rR-zYF=9@!IgaT>PyKK@DNhGSvRN$RS|h^1(%h9i_fe#TSf=E
z4@w<o_b`CrTb4H1r~(E2jZ<kCbl`dok#=du5T4nEmL#sILNsq{K33|$55ww{aoNUT
z6B~zJLh8U@^nA=<gFj`>vLaOhrtmi4SIsXT4G8p7=1Yv#f#_G=B8g_^@Ki)kE}=^U
zbUDJ*U$g1}q3~~)94i&7Z_7B@MQFkftvC13jslMZiMf0G0NAhBZVK(ugg`cvywI)M
zz|7=UDy_bezZxi263kkl?78g6tE>edJD5Gix-H>6?O&?zpe96lzo^}}R~=0Imdo#l
z(7-i3l3p!F6IdLJ6}TK#Aj5Z8jN2a?aES1pU;3p1zuTP*Z%Qfx3i)knHnD=5T28Xk
zf;wpb2og~2mjf>j@1G?;RzQsm(B0di2AaoN-c?6R!I`m$@`uN*Aa=(Jk8;vR)XD8?
zNlg-gHrmmedUq=j-o?_gSxN<Ld4^guWCcKD<m{DGN>-3|%t(>(ni9lzvvhn)=775S
zg2;?c8i<BO=3Sa3flBx(UsFv6VDCtavxuRAp_t{eue|~of7{{3qc%r<f5S;ZLXrk2
z-~ZB6eIf@{#<Rnmiv!dz;g>vp@+~2u!hS@QT^4c>Mu(J(s39EX<R^w3_*mEVInGEz
z2ZlbAj&CE5f`@D_0#NO4eQsYCgJ7LxuALe~gx~Yf#-uF(p}Txv1d&DHVCX3*rTa(B
zS3fVT$)<vUgx6$HiXbrLJk+x$O%c-}hQZsbEFhe3GS)&(0K{9)531laL9K{#;OjMq
zYe#ff^hS6gA?piw)a4mM{+u*RDXTezOekEO>*s{9bMCwci)V<)?M-^u_08aB+w!5O
zmTa(E`a$*Kkr~2%XLCV@pDCOi%PFp0WrAZ7o7+|2O%vrEiVOKqOrX7b@ZD_z2B19I
z^}6WK6tQ10<VDzsF&qoLd3$YojViD!sXqMAB%%A3VdpcQ4ZUL;-=DL4iF$YX!4dYh
z38Gpn_Rx5=5imV`_O{V}j+*&%f5W%vf5bDFJ>=it4dIYHgQH5>6!qGj>OHSK$B6bL
zztyM|L*QA<!xqXvYRZ8pjOaQ_7-o3iE4*d^TY^SPib_VP3x`e5<_3)r+a#38vord@
zb4KgT()a+i^OpXPXK#iGP9dkF&mQ_9xIH#xS9K3H<#m?9Zk<6QBDL`ud!ru2=5h-k
zF#Ab8Gf`Tm-8De0YLIUSo9Tho{55B--WDpKJMXG?Wj}HHbFgIh3tgzE9H=B`eWWIR
zdGg1$xsTX$C*4{_T^G33TE5;Mtfn6Q{w3h4SRZjhroK}xM+X{dC-p`iy`t{O+od9%
z(n~zd8u<4A|1O^ZGDi!hQV-}DY3Z8x5{ku+C0+Rx=+2EeqG^4fn6ekz7bM(ExaME6
zbJL@M*{PGUyq>R!xaCiIXQX<GT@Sf5MF?#;)>s@>c!404<9lq?ck~j&QC`_B+q9t|
z`kvJAXf44xzUkcK!d~LhRLlqIw`5=&@!oc^rh#Z_W61U~?IVWEcwZR}XaPQWZL#OT
zC&IT`)X#mgk6^JFveOmNg5C9Omr2LJ62TJmr@uD$6S2nbE5kOLAgbw*l%Lf?$f}<_
z@vvur;0?3&H8`gM<3588>|L$I&fSfp5|V?2#Wrc%r3!VpCDnXwRJM)q`6=2icyWkW
z;TTB}Vo(Pe@<j8EQ$LB~FjezOg%Lu@DEOGay&4RCd^biv^o!V5q-l{m`-f;1`t_(c
zT@_wM#<_8YcM~s~)WyH9|0TTI{$24JQ-R)IbIW>(UgCcM0096043~E})o&Qa?Y)mZ
zk9F*E?0xQoNP`LuD&rR^+9DKXXC<SQRVh&-R4Uc^8WAm}B`ZQikxl65-}k!S=X$R9
zeV+TiKh60Rt7{J9jPe&^@$GBWp+<O7pJw(mxPRXJ68&R>k$=2;jYg3g0yt`;I5Y+r
z<oSP6n_MOtS8`Kb-PqM&R`2#?tap$h!cq8lynBkly8JS4eGmmM#cI>@Pkt~;biV6w
zT%2JDTn*6V{i2F(`})E1e1x$qNc(U*a*naR)R;MYttz<uG;Ufik1{rOxgHF=w7_6F
zw9aVqsS0wY&m3|N{LSe7bo1T$vA>Ma*H?^;%v4~@`X~K%(gef7a$K+c)C%L`ACAC~
z8fD~7$rrIRPcnXvQd6@_nTW<a9@^h5m9dH2i^V5zim|?R1C`f;g`jfnl)3p_3ALi1
zzBYQ#FdXJ~zLTG3C4z>w35vKY;SI@xTCin~5u)}fS-y*%@KigSd-A6ugg<#?w1zA&
z@|+bY&9j`u%5kslp7Dx^^cI&cdjFSE|7OS7Iwu~2(C!kWYbe6<U|BI|&<Z2zs880m
z4n88`$}5$@b~4PIcQ4$#&P3QaarjH$5hPL<vqv=($cR^*5*ssPAzrj@YrEnnOzaZm
zW6`oF<AL=)<Cs}iqSnp$>q$8hA?%teX2VAYduF-B?LKxQwKa=6$t*@RIe)4q)hi&c
zxXJz33MV1*GANf-LV}=PJdi~`tANn_B`IxJ9^zwc%fu&dDZ)Yf!C>@J1+d11t}FP?
zM+99p=PdXxLohV=zEOx(fS^s?^``rR#N+_^P;ikv@t;uBUBTxHxZ7v>qjIk>!5u!U
zFY%sC?EO?6GAvI<NJjh~Eg2H=n0ZhyDOib^rp~q6oFv0FiO<$%UX<|AQ5UqcP$5hg
zWW!D~DZ;#QGisS7h}36?wlS0`#5s2MhN3D(B<@RZ*R_x$Hk}B56sE6EtP}Ley?a>+
zW&8<UWkoVXydytL>~2jWuvhj>W1TYI>c&(g)8vVN_KZ8+x3q~*KibTg3{;V$8PUX^
zKqj7_*-}``r$^MkJht0)mICvp2-9f}CE{(*;lZqD`ow>pnT6ug8t|9S82Xv7Ohnas
zuIHVj5=F^ftpAm0!L4~m_S9NcVq#WhV2ol&>^N%|EqYrQ&x_kDLRi%Z-?`m0i?&9@
ztM;?>`=V3?1r_}oZBi#9<?B8rS{oB%HiZF7Btyto&uCvt(j+nym5#S?m=LiW1_rrY
zjB&5!=flHx+QgS*5%a03Cd3KVn$274O;KN~Bd0Q;Lu`EbcQTbQAwu@PjJoAxfx>%R
z_nq0LNA!8`jJ8ZSAw;7LxEExsF%n|eo$aDeWIyxZWBOxE{M~FCkolE{MRHg8j#v5w
z^^3DmTDK9w6uSP05uJ|X6@7nB%25ffgbl1M+YO1q!bESS2wQlFO{addq7t_Rvj0>c
zq!KR2LhUC~?C>TqmLr8iC0;X5^ZwqeOPH7%eZRZk9)*&JADDFL6QQ}^$WIeAh<usd
z!iIcnuz6h~YxGuqVo$+{s#CZMF_Bj}zj$B`@|=mPiZyyf<Y`^ack}XuqyVMl@cGqq
zL8-~1vpU3vEU}Nj<Hd-($yUj>C)XgcMR>nQk`_^|_&VTyA2-p&U^S<juE7TD$dPS3
zGzi5s@pW3|GYtOf=nt1(*+Y@0l3>HFMzl$9yqBf$h87h`S|&N#L%O<phuLivVz2p-
zse0x-Elx90)a$Mt{IaxmxjQQnT1IiM(y?r4s?F%F5wgQ1TX>52iUMJ3cJB+*YaaNE
zYMefQ&=!}Cd^x4lWQe$%{sP+q1(7~q*mL;}9dWj$CNDfB2yt;GyD&Fl^t_7am^P$C
z_kAmQ-vJVF?UbLjslN!0|IU~Vy8=|MTl3rVf*|1+mQ(zWhlH3#?)BngfPszKgTYZQ
z;$`r|+f2Jjs91kTKv0E-aUH^Ss)L0%dGBVZOehJy<8vp?b!~9%*QUpg4;C52^op8I
z`$*UuUGS#K(HeOT|BSD_nPAj&cm5K!C&6hYb29yq6?Aih?Y|ZEGFX~ZJ&Q>sh+jSM
zXV-O0!2k3!-(QDmna6snGx|jE^}+M9r2z}1x143#+tEc^_d>JO@V*Gr+cw;B*SA18
z|5(*^>rtA<;wxLZED`j3|5th}&K#A8nm&j4Own#cX9u5*7QwL?&iwfAW?1KNnKL76
zp7xwOB)~sLWL3YqQ@%TyLEF3Z)~1ciG~3OhJyMrMFuOc_h~=Rv`Ww!5wZ3J-%t+Ht
zqvs+hXv#x`jw#rt*-lNqVS)1nkNGYx5;~Pzzp~si!MzKw#45_zFt&Noc4!X?HwKq@
z0(4Apdl=mPhdJ<fIPL9l2MMnK)Hu)A7$g0D=GW&+To5^;ePCOFC<31M?GIaPjMiMv
zJ@YTPQL4Ahn<gZN!y96s>3=iA(wWrb@%wmTdT)-a>%ADthknI&L>htPGV|~pH$O}d
zvK&sT5XbYa^^GMeM(`eL_42F`Kz2n!ZcniUl#ej248Ai2yRT`Qx}FefVjY8}9!Ubt
zBH^R)hVb`nS54v<hMnrjv13D0sM1#Mr`Q|f?o^p!-Lx<Sz3mQ*>B%5(IEPJ|#}Hj9
zY?A3iA~3e?krl|4#Z{-`a?cI}c!iUHr4Eo#x359gUPK<04yCZ1Dg(4!O=G1@h{7$L
z<LI6;1swZn?VWkS0L+7*&Smq6L%jS#lK)*YYMnBtRO1c67FOf_!$<;^(T<Jg7ZstU
zNc7U84N!S$UjEl1N%$V0y8ZpE5>}+gV+NBAuzyF`JCi3;pnQ&XTbrPaGwSDzb*>vg
zC*c|^r?d=GLJDsWrmA3rQCow>D+7d!zhGH&Ru&gKQkxmMs<38${nU)z5Z>p)yn?vp
z5qIkM^9|(`l&DNjJ8v>Xr(dsK_$3AWI9L?!Q?G`*k4ztAmm6Yj->uZKTry16dhe4z
zs3W$!&4FFf2%YYJ_f?N5qFv1S%y^FmOp~>D`ji+!)+H%(be$5^rBgN?>DENGlSdYL
zjWN0kdT;GeQwC9WuJ~Mw7A{_!*uQDc7^f#l6gf5(+?5$xNYB%T?3VDCA<s;3I4`E+
zNRJ8*mVOGeb<x4e_`TF)mrU{OcIQRqYE|s~>lSDFRR_%h2D-lSX4t;f@>fnI1=3B8
zGYTfU$W$#8Oo%pLor9eV{Z?v7=cm*d?$ky2@O=&>Ss-LZRI_754L+<Dm&+Y=arMpY
zHttK7aI3evYJEl>V?(=bT>t1`$Yd%Zv(yUBiC;2)uBaob(Q4(#4jqIVnhyWIZw(%!
zmrfjB8mOhZDi@sAhW)SC{;z6m&>m5>#iBq1f3GReZVAu=SLCQ|TL}%PU0k$A9%;bM
zwDNVHxF!Y%>Ayqiz~2!T!(DeZ5Rlu^otvqSgy;Js16FnHQl(?n=xGg94*5Jw8=;^x
zXB#0n4y-$O;Tfm422Nz<^%<(DBC<cs|A!VGdCgaj*jB4U#xQ6f_a<dTrwYU<Y^6g~
z{i2kalse2OZn8#)DZ=zepv2V!bPV+yItTfvA>1hHXUcX3G+ne8XFf*9d&0R%GM$3F
zJ%JATgEH7`C!OxUmyUa?mi*JDs+gBZj%zHH#E8m&>jO5>@xel>Xr@{P?;b{atW=4?
z{rJ)1A!RzqjbF=UtCdl^ag(4IHwm))&$<q+_8-#~y~nyt36E}>%^t55Li%`I^r0#s
zJBefPbCDu!U%fa|yPY3{56vDNI{;(_WsNW7lX0Sp+3C>)H_r83)T~tku4nEW-)g0R
zl#iDNl$1FUam|8KeUpYSCRw4a&T=T(w5`l|kPWw4P4;hLqd~|g>aM~G8MNO!pXjN{
zijlvL^Vz#>@YF#^khHpAYrS=ksSPqiIAvPiZS{YfI1UE+$VtL^q0m>3iy7}bugJ0T
zTjS|Bo1pLc;%E(2P;rcBg3U<ry(T{^B!7spF0&ECwNF(Sb6uIxwxXyKNmwFp+|@^e
zNfcEHZ*J23m{2Lu9Pv)h5~1^240^u^1gH(~N-CKU)1i=Q9l5Ii)XDcp2ZZq?w70lK
zpLw<Z1yA{YbIc_?HymXb#;Axv{oYPy%#J#os&O(0LtBjh+8QAoYj;j}FJpn*1*Pql
z_syUeLVo+nUJ&iPIuzkTR(yTee5p;v3{eX23q?!>kl~)X%lR%FZhh6bb|J?UYd9=O
z!8`d;K7S+SQ8znAvJ)pugiH};&>)|1pATB8!y%ojoX~08(xaGa0yiz29Sb&m7<e)g
zy^_EMR})f&tbhrU)l8Od&hlc0Ew@dKjRz^WMg3|rjq%L?#QIxbd2wGv>Ui;GUfjtO
zFcp<I#*TrA@$DnLILC4HTh#`B96ozu%;Sy`L~REcTNL>q@a8^BWCZc>kEi-$x)I)}
zIqi!&!-o$AQ_aP(LJ+%AbU&ce5TQKZ)(EZo#a1`U?~Y_)WcKy-6^9$*4a<(Qs2YA`
zmR`7$d0hlog2@vM1w*uWXMayi5y082hvx*_NO;8OaEte)0ld|jKiVb=LL<_2%_TuG
z80p>=oj7TLre)>2L+(OY8{C)_wMQIeRTca1#s+Y0>=Qq-D1@wsp|t{S5~!*1bv-ak
z#Si|goTsXVVHKXSDaKW5^?t`eO$HSl^6Sd}ofd&=PHg_txHK#ukw#vnQ(?PnuT1cN
zBowEAUKdm>3z=k7C<IaAE$v&q%TpAimtEbWL*;SAQDKUG3l-%*`hL^)iDAe??r1BO
z3|?!O+0%AZEbj6M&q@_Xs#Na-y0Ic!k{c7s=v2H=`(VL%A%T6({`A&0N)REuc<VM&
zq2<4A>Yua}s;%dEZu%;tNOIz|@IERUv#Tw9Vx^J&I$!E~k_wu0k8^WnQ}IX1A^JMo
zsxQ93v1hqf75Beud{k(s!mfP}pH{9M{ybltwwtD4i!6U_r-}h=%5Hw|bWp$?r*o{W
zzB*!TO>aM3^|hzA)j6y&Wbh1Ky7)a%17()H`ZC;x$o+P>S2<7-*7hw^GS@WWxBIoL
zX@MaWW{X#-9!luhe0gp6D=p-R52Q`5H$r!f!xl+rWvFXk85SGV#=gM0-wY9B{B$z<
zZfUQAFAQil^y^??kL9V*Nn_Y2>}Lx$SH-S%Gn-_e>SBQHjDXfp6MVOhFz3>w;HkPl
zt#iK~>^FVjTbeUPbR_Zafv_67)xy>n_v;~r-G1$yq&cpCqGvRXs-b-1LHuieeegV4
zR9{|efrh3^XVq05ra4R>T;$NlTOI3-PopiN;9BRN<*NZwx0hQ(wH{;~FBrdKSV6?P
zMX-Nb195!OVFlcJi2X0A`t!Us%*~T5bp13j`}(ImT~HVKl^%M3RcXi{jpj3|&_veW
zx|ie4+R!|3^v6X7AVqPyIP<M0{ul+NWm{;0V`p6O-U1+6Ux-9%)Wm%EN>Jhv4K(Lz
ztMT#C(K6u6@-|r$=bnq3Ooypq_K;HHM?X5$ZQp%&Q_}?BqJ8{=uPS2K%|4kZrDJ~J
zZ`idQ4G@O}H|ANb=8!{Q*-w9_qkfSoiRZgIE*iN6-Vj&B=J>}7dB5rCqQ})U^Qwa<
z^Y@bJKRJvwt>jxz&=Ey!AMOxSgLUu*g%M6^XgZp7iT2QO%05W?7&is2N9*H+J;lLO
z>oB<WF&%Q&S9Xt%szCPhvgIQV5=Q=gV^2t+L+R0Aooj<K#{Y=Ca3cx9C+g}8yR~$5
zmnxh+oUMd4PkUo8aPfjw{)(yWKY%*7wl-m}B7WYK`j}YB0kxF#e-D)d2Ywn;Xf|Z*
zO{#9EO0nWnc6f)!c7X5h&SN5$@<@oG1tl3UK}1Gz*=?DIEgiGf*21zVpH-Mt?EFi!
zAKqi}XblZ!MVoCn*`)FI_mj57BlEOh!?uDBDK_BEvq(^ukVHuHE9)Y*SsJO)Rrd3H
zYmA<4bQRwy4wL(nqCbvI)6Qyf$FxgZ<9f=~P>-9UurE?lm$@`Wd-`Lyx9zIGG=DO$
zNT!f58gel~V%HSy!z;RbPn9Lk@3I;`*D8$f508G)xIRVu-RibXVY5X4DPi)n3?YPY
z28$bSpQd@ZZGL-bhXoEY-u=hAB!B|nQSPh$Gqesbs`FTtIZUjBrzgeuL5uQQ(I94N
zlz!0%kA%#j(Eiav^)N5|_9mXs-#$+}6nQFm=%^X^%&!UBaPmMuRX`<;vPdJxD71!l
zn1XA*>&x5ETu^E`bB|SdiFW7R@96{frq~_Z<q+1x3AU2cPj#JEXr_;?%$uuCpf8<v
zXGww+7UwA}LhG5Zu6jW<TFnIK3O%|vpW#4$`p+1<SY~v(Z0sy3G=}4{`1WcE4m{95
z^UJc01>IZs|0K&AL&<5f{N@*SI2D#T<>|5E@R`bMg84@9qW`GltY-(8c_K@45j&VR
zn_7n|86ijBHJar;JIarB<rV61VxqG!XJ45i^xj^rm*?a_e{b4>_P1Q<3j4_a&%zK?
zwuCrKZw_R9v-=R7!h@C#DjwV37$8<9RsCES2P7dEChO0K4FShWFZ&yShfC`2jR;Oi
zmsl`e_Y%O-TfQxetOgiqck|zE&4sgp+^+>}gwP-HIOSe36>OpBehw>gBa*~7=;tMj
zZTy*j!Y));w5iqBY49L^>zI2=wg{pF^DXx+>tn&GP`})r7qxZH(`))kNVvj?R;kj5
z`}_T`YKr-wmvYbC%TWw}g!gAXJD`tml}jZQc>!GMr$*gq5(g=0{rVUB`smWDuM2-F
zh%>e+3tc{v2&R=k`Z%WtouRNV)CM6aK8$LpmX=0(cIC^Dg?d<f^@oAyQ(^Qbeo?QS
zltJ4}k@hxEJ(#r$%Id!n!I6xfb>vYw1Y|}&{7+jC%e}fTw`WO+e%^O3oP~@nOQto>
zVtSZXeC}RnDu%PEao+A^MHug$|M*B!4@&f}cU&{X@t^8ZCVm$s*h${onPaYpmEV-N
zWKKzZnen)*oTiKg8?m!`5qen6*>dLYg;oEujQyF}rGm8R%LO8RdUz$7_1BUv14a5d
zopLh@N>8T*rkLuZ;78)_^Bi(m+iG4hS*Qkw9kLNOvh?9<#=LQIP#(s0Vur&48Za5S
zG}+Hh#kE$SzS)ChJn8FNKY3acY;rAij+dy|K6L!2bciC>7ZG<fC$tdXEf;df-T=h2
z7Xgprm2lZ`e9+ci2bcD3V9Mt=gsQ%zVse2p6dNBEAHS&!7p=x}xfw%b7>~5&JXS&D
zq+d>YmmaA5u1H4wHA2QxBB$18Rh(w@>`4#ShmWyu2pic1o}XsE)QwZ1n=#hw_e~!{
z%Db&wy-ks9&%Z_TpBfZ2WJ3;WQNeE%ndbA@4B=NAADjMDM?t5vWZddJ3C>)os!_8*
z;J{wJf)Ne$T-p55$dQU&j+Rx-*DSFuxV|F1MiZACHh0<yP!TbFM*IWW8ZWKn+*f?G
zFxUP3J?)x49&45h2VJ&7lq!b+qhAY+TQrmASoCp-r#@4h1vu`obW+7g8<Ojv$Y1o+
z#aZoz;^I;uzEVf$!)9&N1ibKyIiQUV9Z}J5ZRoJL^4LhoTpL<DFYhVP)`WpA`+(k4
zI&R)<+xK@^3-@LtrmF9&!O=X!Aw<y@N=H77KlIf?wn5w7WjR%plIvNn?6ZYr%eoey
zQcWZ^Z#{4@LJ1ANdRIu<wzzBXc-^}?4S3k?a$0z<0DJLoXEU$cBHwz4yGxZizSOWc
zy1tRd)qlHd_%GYy9_QHx<!Ch|NqlV@))B`87vYL6Cv3qb6Oc$Yr$9eA*E)Ss7>RQ4
z)aq<)apLi>IKAFgo^AH<E05t@ecuFwsU<q1Lp9TWM<~N8FPUjAi34+M630Vst#X;T
zw2Qa65<Fs$@Hby$!ZY9QvK(hR%073q-M>f1x5$08v5oUI`Hk%w7z2#?m*?Cb%47eU
zR!$L_KQ!kf-(z~?fW*C>>dZ>A$nugtvi;u>t<qQ6`>-7FVb3o2r7|h3yf`e$tkF#~
zJzBAOHh_klxEt?ScT2$F){z@yO7Cd<=X77J&9Q+r@5eY}Gcknd_X=}tucwU~ZoC!N
zYK@YJ6Fg4VB<N~694~RIqSby5V!h5}jcqy(PA?A#W4<|wK70QL?YByaM1-Xk_Pc)7
zs>~3C)of?z_JbufH<kZH{30xo((_g8Mm`_HKL6rrh`vY5I@im4p0L36*Bd&?3*2aV
z-0vtYSx4KwUh)_huLY8rx3LIc<%GY-4cCRG7Mh_;pvw~vbC}=P^8S&|j&8Z_N-s^`
z)Ak*)T28Al!(?tz#fJt~Z1pK5*jc{NQikM2J-N+5`r6|-XT$=(5}Sbx^Bx*W<cswD
zUQ@VkJ$)mpmkA+1%DAe%`)TLbM&?+*G(ouku9G>Z{?TlS<x{#1gS5iJqIot$6G*&p
zoB5l!Of$Y;@W;<)g!cU4QlaLmAHBMjV8t)CM5|9>kI8>KMjPo#J&`78jIsgM#63NW
zwA^P>T<(?=v~L%uHAG{L;Kw~MzGHHM*7sfBi6K2ni&Q(JT(o3};2irrp7jf~Eq<CZ
zKRBmpJ~QkYlrTeFVsSgZ<NG`<V>m6vn|+q%^gP8ab-@5D3Y4s|2lKQ)gIk{M6rZP!
zGS@7$oHD?>{=75l_472-1?P%Pn?>6C4a0BWvl~Ea{EoCH%L1)IqRGrCdWm-P%oe_D
z=cy3S+~33qUZ5F0WZl#;xI(kCappHsq$29AXsoZ~B2B8Vxr1KA1l}5#+Vl7H!LXV%
z(HmQ&ZSNH+cqzmJjSC-mpRU)(C+~}4-^Tya(vI?^9EfHGqgll*`L!N?e74nWQC_C$
za}i`4L3WVB-eyMe>Y>KF;?>*46<U&ZM_uA$4#Zy+a8KK;i_1nE{EUT|5S~7x*S5-)
zTJqlun6BvH_eQqo&a+Gi3_Z#7E}REbonqsLbK1E5M@QlB95cw3-it98`5^b@$%FiD
z+9(Nps?;RTipBOM4uyUJbUZ2vdt0Z4G|y1~C^t5o_h^2SR3U_c|GaNTm}sHvul-%~
zYIgLyJbazRErRPwm1`m%XrlK1{z)fePK-sqEje?Bw93PCu^((TA@ESEY)v;8I=BL?
z=A^`MNY>P?zH3!aO8{a(oxhmvn96w|#LL4t^Kn%-Vn^AZ#%bUZKlNq&Ek1B{8|prO
zAc_204!&5L281k_&r5w0z!AIlFIt2&{`61?bv_Nu?2@z-zAS{5KH*gBX<4MqcL+)U
zR>w4LH$fT@#-sO&k3`%R;7+lr*B@4ggx`Uao$E+AHNkF2oh0MagYL@OWpx}(=>9}$
z6Gf*x)#K`BCHT%n8YdfQ!16@F%}d9{;gjS#{^x}<Dz(2EE+(z^`9z(y*h&&seB*%y
z+f<PsG&MWPtBGe8qx6FmX>1Akb#wC)1wRW;{u+C{%4ene(uIbyP%E_zFS(}<nX$Ml
zz4=;5p_JBQk376M2jxajYQpixE^$h&HUzCRWf-1hD6=i+F<i7ECSupQK}r`-`tRmc
zW-FrV)UK`$Rb4#uysF>$Ob=cbaS3aClu%kgx2T-a!(-3fiJC9^@SIaxH)o&%&yc4x
zMIEcYZj@Wk`Im}MCv$4F(p4eQnsbJygo=?n$L~IKG=$i>`zo4$DA3B2w#wXPfYfs@
zl?I*}f%`>o-IR+uT9^b+wM?vXzEYA+?rszGRUP4=-O#|RjMqIS+YE6->b*m;k{Q%F
z9Y>OeHIdyQxnP@U2#3EuN0`_w(6{G>hr5tArb8EG^H=w_@chBLl6gy1X+=szi0I&B
z@se<jis7p7C*OTMWsST-&e^&F9T35@bGdN_5LkCRe{7J3gAS*C5>Dx&V5=wlraUT6
z^!}Q)=><kk)VIfc&_&>O$2b0~c`k>N#bp10j!%?bbIIRz5icW=tj4B`KSLzRHHU4X
zkUg`*a5ZNztvs+ZTjfGM&m_$S4m<2O7r0@ppo^1v^S*vN)zHBCL`x^c4ho|?xig)0
zAf))TwEc}T0!G;S<e%7qr-dVahov@FN}$N<L`MBnf#R4BJ9xRB%U1rqx*w%xUMJe6
z;3y+$Ve`%o{X69SeO5WsaAV+xj7$>9=KH5U-(0P;=Rtd7n;HTiyFHuv$-A28-@NYh
zwSz!IN!eNn3cQjGi_~RUP+QBLZop*+HOXe*Pn%Q_f2ikzZ}Jpv-MQbcIr+A@C~&NF
zPl6J1^t_boML*Lv%EpbEsoNsVV%vW&8ps%!V4E$Yeq@k_gBFjM(ILH;_jIPTJPPvP
z->d5yW%$L>Z@kl?<8ks?ZsT@o_%CI$MID}Is9(SMc6yZu3mlA2wLOx+NWiIyQq=`U
zZ2a8ACMvM)aOWuV2T{1svB+=Oy~NlcD-|Vuh=xF6V;4465!kL3scPJ_!uTHm0RR6K
zn0GwY{};#YnZ2_2y4Sk*+Us*JDiTU|Ss|f_WJG<V6eS{2$tWWk6&b1cyp@a;G75zx
zGK;e3&+p&&<NY{~bKZ~hI_LF#XV?WgNW>b$?)x8f)sAw3{xHYKpr~y;iL4iQBFhNW
zVpCEZ2iYKg+~(up*KOS9jZYi3!4Mb?={gG9m>|qzw|al|HeSccT775M0K6rmGzX;U
zL2%aGZB}y|Pq$?0l9e%ld#($1=1;aU`;?6`&G0Q;^EOY(IX8XS_jWpPqJ0(HsCv3@
z&z(*DmqoCa;zK?7ZzFysF>L`mfV)r0lx^UDL)fg!XLP~Y?mOeN;Xl}iJ1@%Qo7VBZ
zo_B2pM!K*O&&|P>_Y3nE;U<6lvxZN4nMd7A(}9y7wGC(Ozhf7J*N;b2*6?zlOFz`-
zwc(FRu9ZMlH%4k6XBWS-ihmICE9W_^4MO|$S9)9#Cb-ABy+mde4=9#!TB_9or8|>e
zUq0sI3F8G{pL|}yC4Ey>vgNhF&1UarWnmM(9-BkFTfKstuzvICx~&O`LFcwV7Iotp
zytPwejVt(-b3+SWY?{!Wc<%IZ>Q}t^1G8%o%_=_ksq{7B5(R$!$oZBeHG&^)d3EaI
z$yHo8sVISgh5}JW(T)M$Kk;m_OEZeBYxpV8uIQeNWN3GnFgqOe3)ji=HQoPZ4S)W{
z;BqV@8Lm7fEbyF}!dIH@b(g-Z<5su0=+|$MptrE}z)`1JJjG{L==`ot+^aa_p_&K@
zJlzWZMT^ei#}^-lUJ2X6S(~r#=PlL%r6T|SrNnt$<l%-s_bwU~5poL4G17nuX7{Fc
z#((&zOvl^tRT{+6t@^R>u{s33EivA>wtxfSDziBg9ny6V^Yj{4gN^lo3M=U)Jins&
z@EVyO>D(!EjuTS@5mQ5&b03%Sc}uHoj#vgX7x3i<!BZ8=jlCsFX{-42``5CD7a7q*
z{er;%%2a^i;O#l$xpn-=v;08G6lSDwVc<{$tqQbU_M#YE-o%gCGt_lDup)PR6+@~U
z5!~g&@7mXF<F@@JV7;FmS-V^_@O?{wXeH+}w!3IiyHA?6We^8C((>20nnZx)Ov~*S
z2RhVnRg<@;l?yGtUC;aUSQ!MZrF(zX(WA$o>3_?s^B_aj4&4|PWr)yaA1yayL=hQL
zu9bIq(KkDqfZCTz;GLVQ;rN>g5ghU#3&`;!g~n3(hxSSk*>r$kr=A7XRLizbbPJ#e
z(elqZTZ-`MiCXse8aDJo{E5Lxu@DN3?o4*AQG}m{&Dq?;yAbj6W5*XI!swajo-=(h
ziZK0%^Kz*U7y2h6n7+GT6tVPb9y#fu2$MDXao>J$qduq85;0m5NV~q~%80!p#Lf=Z
z73}3jGYspmlRc%-{&D%?b3Te7Usdo|uayra=xJVPZ;(bNt#X14w-g~V`6n^?qyXag
zv%mG*Ko%`Nymw;gha%94l$;4A3!%L!3VgjCa>$r1kizDo1R~XECeMlqqoL?`o`um0
zh&16_Mc7h;Z-0YhUl2u6nF0IHE1-l#o_X0`>{W)-VdwZhc!(pqeLsv3?k1qYk@~Ye
z;{-5F-ghqKl_W}D>~S;PCL+5(*T)X(slb=%?0i*mX>{q9ct^r-Rh0I<QpKQ06&3`n
zNdBi}5ML>WxzwOKlHIlzORQIih@&c>bU(<V1~#>@++hv$&?0zVbz1|9<`zYrwB^xS
zP(`-#TN0A@yZ(*y02!X0Gw!o~q=0Ueoc$bflZ+<zGk)o9qJZswXYYN&N+`20rQ(7S
z1ywb=9ZC<>0%4KMl=aKXDEzk8#tEE)UKy1TmoObL=WMllF+xDtwc%w(c1_g05|2I7
z)B`!K_lK^_t00^H=4VX;nkYg?_5{1B0Z6j?PNeTqMeSO(f_<MU=)2^R2zfUnXkVn|
z$<kIsHW#XtJ<KVnIE}Ejd=`UduNy<vvuY?+PMqcO2{KZxpOm4z2B4aR&Z~H;qb{9$
zb{qO6<f!tUxc@N~Dp>TLof6bh`cmh_XtFwbvt3bpFwz9}caVAmcJ2o~yzr1mUj?b3
z&y=c@GX<BkjGOcmYAEv8doK12B{U3^XSEAWVSsl$!%I>P<)(Bd|MyW2jl~{y5?VKf
z!khQ6+i<9&XQ!D0ofxE%I1*&JDQgBMS(25>FNw%_vT0$vP6Um1o+10ln86CVA50(<
z&{5tR&&>rsw86BN>AqnKiD544Q5TiaPfd$J!>8<seJ}M}a*ZjlT=`<Zw?YBUrHLpF
zZPK9Y-y%LFx|qV{bzl5fw;XzLFW1~S?++fKdszF!v<ZY&U2AwUCxf`HGVDbT7vr3{
z!%j-UCNL0GQ5nQ5jnW$r^OpLJV|@y})){}OV88F+=hRpU#H>-|{_5re=4vg$#}z<@
zyO-ilsxphB@sHoU=<cm!RFxOh>*D~q)IB<MuZ7URG<;9K0}UL--dHPn1C(T+<~jU`
zAB`IM*QxT-f&F8Xs?_%wG+kHqc=>?`DTFdVV^^k!CunL{Os_FC?GBGKIKqkeyqu>6
z5IsCJN>`nnG=ktRhPOtySkZZv+r~1>^w4~RVoS$j1hrezT+GId$e3zx#63w5*K_Q7
z9;h1vyGi3S83$UF#&vT}yp$fco^oZmc^JU{tAzuBkJoV-E?EaJTY7MjO_#2^s}DDK
z-K*j9Uc~1oJbYZI=wQ}nz=ZFs9t0%b%=FIqgF9q9wMG6%2hF_w^%Jss5F6fMx+`Z4
zpK>|%;+_Z{Agx&XCuelQpYDdRS5!aV9BE~d^oAB19dGGOwCaGw)`jjs%eQ!-&vsLI
zG%W;hR{tO<=)mz?Oyw9u1*W6rn@Ko83*trZ1a`-3!?momfTxsC*h)>zn{Z89IGaFQ
z<^D$tDvm~N$~^vt?e4H$3e=$mkrfuZ`XgH4bSd#K_1Y*Fn^;79+kqDF#>Uz851MfP
zzHiG_+X*ap%B-0C7A<ViZWT_MXhO4O(lLd%GuVyCDK|T2X#r_NjZYl~oVKJM@kGpF
zR&{)P@_p$bTXpctK|=}{?~ch^Jo^`0Agn%fqos$|nQoSJoD76U0&~6B0>->B_kQ>l
zJ&>4+Y?bzr;lZR!jJd@UHfq{)O8E{049|QGrs*cZIpsHj6RIni%cMC&Kn5e+$=EnA
z;YEU?AA2j#?_R?S9Mdz|UopYfx6|VZ%NlS<l`L?bYXb`jQRysaV1cS>#f?KZHDGL3
zV8Bv%3$xI3{ACfw3df|bzerNmfILG->7U{>5Jt(^&&JCRv?|gGZ?o0GJ#yPW)R-2+
z1=J$L26h1#YeD><X*FQ?suVK|rh`Wp6OMUwaRUEd&H+ACHTVdF)zn&gI9_&X{mcb!
zkXqR8!}C>vwTDg2TbL1EC?2qQ{e%bJf6uea=TU`XyRX&H(wHE1hA=R)&I|2Nqd(ud
zrUHvBdLE$00*qD9CBFIcgRckFKj2n@*`sN1O(t1kGWJNu%LM^|QZ-o4Cqk(XabmlL
z9pv?i`!e%|V9%N72RJN<;5R+v_ob5q@LC4XtVm&??QuGKe~SR&4%OZgbll+ZlO)q|
zRuqQtS>}@FopUE17AFc12%i3NOCVDm=9@0)+$khL{6zRv-+5lRw}4gbnwA8+keaLV
z*#vMQ6})sB<%5RcSg9b2H1ur9n8%b8p!PTe=Q$q%P<HrLedVeQZ1)yQ+598`chc^2
zwTwcLZhNit-n=Y0zE9mK(<g$peXNV)yWKF@#q0O&v^?;4Z&~Qo5}|BO+sdFo1mckm
zUpc)ZyyrhOL+7IcQNd@!I}5~MrRVvT$VW=B&n+)3)>IYbTK;tRH%Y*$rWVJ;P6XKg
z)*W=#MGb;u%XjBok^<$j6Cu4j@3^@pQC#v=9cH4#rH)rf!x4^To{z1nFvypz;+n4k
zmKpV;8?!R7%i~iW-8pp-g7r}I+aw6DCJMGu<RC=O*o^hM1_Y{biiDMt!Q;_ObIXhJ
zK(L=MpqP`uAdkA;Jw*X)dOe@<b_HOdmfo+JA%XDi_f~5*T43cL<~Am*1ctNA#DyR-
zeEo%v;r-f>nohC{a#4ox?Wg99tz_spa?s$@C0(!@X8MsEPXIUl|ICPg$PoN>@BZWa
z^nvJgKH^O#5#CN5v41o`hL`BbPf<}r_@&0p^Khq+dQZN%b|;Pup$E$}g#Q`A&)4OO
z+y_)4WLn|D_nmyY23*798!-6%V(>xa7gg}1SoV!^lYq+bL%I4DfMB}1Y>K=Zs7fXq
zbIqv3obJ7$kyt96|5m^DPeTog{QC%I7OLRP9bkA$-2}V@R!==&QU%}2pJif)2q2hX
z=+yek1Uho|1(b%V0@H7mlLw^~!R7V8T{=7av69Q5ko{Z*`l2=()_Y~4Jhw)U&({=g
z#^<!IRS-dp%dYb6O(}3+cW@oNYzo!X6H^h<1h}6u-4@a(0v?&&i5vf!!Ylq;7s7>=
zfqXvC_3b7<U=JgDZH}744ePAW`_mM`a6bB&r#BZYY`5_jNSH!XrB=qZWqJ6S|JnEe
z9}}46diAJ&Fab6GRGm;OIcRyluWn9b1N$o2%FOI<0>hc|V}Us`fSW<3L&Gdaw|eF7
z@CFr1ZmaF7UX+3j;;Va-rk&WWkVcb+cq-^=p9yn#A_1HUI=V-OKjG4E3R70NsnC?o
z#&$hb6!J5DM}5}E@U^*<1_E~gyowmE8|ChXPJOzX1GoO*C*OT5S(5~ybuPD%7!&|2
z`UHa#*?+h{eMSG@!x%jIO#V=GU`KbkZd=Yai}<Hms@|7V#xUo4+CFNI8*Xo+{O*J$
z{FL<p#s^78K-2s1yjuzf6o}-L-?A*@AD%TXwpJU$wqHY^QxPk)HpT6cUt7W@#1{R6
z#tp#kGULpIG!ujb{cA|Myo761CqRg}0h~E}qOo~}4ixw6E_O99;&*%R*C!p(hmRQ{
zyj==3P%bkjl0UeBvyet=PUY%>^2|Hd#{KJ9z3!I#`GJ49*Qsf%XVbcH;ytxp_3IM0
zRXNaqwEZv6smhkPY^V$T`GVHM^M5h#Tl>ml-_7HU^Ly7OZs|a}Bfp~H)^98_zTQ%_
zbq){N65u4wX+u_1fxPtG1jbSr8eW3`!5b4sh?fs(L*S)HWnDR=*vOFk?KZLBxX*O~
zJiA5<1};3;y)-k3r4!4n$DhvN8AF*ZW-?kp?4wo%z3#>OhlMs~qo;AACY=H`MH3jZ
zmD#4bKVrL&RQ=|=GKITJve$VtXoAau<5T=D2#c~<<G1)QiEF2_J&KE>fCw+sP^e8l
zrq}k5`;pBg?v^_haAAoI{Q8&sMdtGG>5fv%cU+VBv0pQGs%Obi7cOub<A06+@$NF&
zWS_)s6Lbd7ER$fMPb;)?PZRE!hcD-vPU2I~Nkr}QB#5_2KVZ}U5f>}W<5sAi#1-E&
zce*f<Aa~(9Z{FE1JP5a$+~+lgTWS6Fe4nZT=WFu4q&j+W?W+ZsWGtugtlVVBAQ=rP
zyfo4|$kLBXb2ZYK2hQMPx2`n>_^U${-K!cC(l@-|W%RDDkF)swt442x($yd?&GlTS
z{V>j#f9T}tfIs-1^_aqjW>qlqxhJVi9l^8P==)#h&*7HlzF#c2Rlum2^FZpz51cx1
z=S*<bJbsRpviH8B3V3#iN|dDh#6JyCf@>%L;{V>ESNH$hng54}6XzVp@$lyb(_N+u
z_`iiudIl{7_;}&N^-tOpczRP-+wrDFJd%@e$zPBFeip2YjoMTAz2_FEZ-g%6n$}Yd
zGXBb7$*Nc3c60`pX~*b3A6mtegvy<dy;XvM9#?1YvfubC2jlD3$JX(YQ0FN%86`Mt
zAY40_F^3m=#*8EuZ{qSTEH~1xD8evD{Cn}mdHleiSDN31Xb_D*qhtA;0vvlEy)Q5L
zA6}B6e&~G^E$XYc*U0lw0PYovqYBR=UbH~b*vmkVmQDz8Wq+23O3vb<r(c%vM~P$j
zP$dIexz%0r(^ej8lgEZ4TUYRd2cEmdrZAzsQku;ld*y(0WL!*ldJX62CEmZB&4TKh
zBE(zV<>2Yyn=Cq$P27#uKQ!+<8#?cIUfF$Tf8P7rO!n>G#_4W^UuAdYK=nZjgK%9I
zY+6h!Yi(%}d%25s*)DG6WyKz2rX~wgCj?gAhUrj_QY-4X!Gq$KGQWm=m4SnCi^p|t
zF`%Wg;w^#}A95J}F~^lA14nS1GMNx2^rb8)RgFmi?LWtNw$NDyR#8a4)kPL$ea2}l
zgh2?E9~IRWP?G^2*S;{)8#WXnnZ{Z|5k|HTPUmFv$-v!Iqw~pz9H{qLAt5<K6z!gm
z3s~DF1N#Opoj<X_h5W-ENOcqm^pREml%Kc^SQ`qpg@yAV_VCF)O>t6)EwD+b&0Gem
z^9^k)ck>}tRPl6zTLwMeZ^ux1O9oapg~}7Z^P?QQukL$Z%OYp&1@~ooS$KGPY&zzX
zAWFFtaM2)M9%(=D?uyKo1*@yfoS$cRqd%WSu9}4^qL`$$ZahE^(z=X&U3ElJUfr}r
z)&*ts`rpLKz%%mjYcinL<f%9c@?l*V$Ri>V3Co#t^$K87@#M-NK??2p5Ii3=w8Nd9
z%g3)dD1m!S)0^%zY1H|{Jd}%118shoW4^zK04+x}!+7~+kso$7rb>r|Vx#v?N8eU~
zkcr-0#zHw{{dO!h!Jdqw&m^5#wpNGiUWUf<y$UGs-HPGBF$zjm=m~c=B!TGk_;Api
zA_^^CGao#xiF`UoHAdKW{KmOM0+pG{sCmQx*|>-n;@LX-XqiU~UcHR-nK34!%FJ+^
zl_D*q@OWZu;eZZoN@^aCZ&yJ}ffOD5w-%}pk2~8{p$BKoo|zdKsUec)?P!J}E%egn
zlxn_~AzYO(z7!v=j-FP8dqf9lp|5Ygmfn4145mNCPj(n<pn=CjfiG`rqOf6$ERP2O
zbpQICjP7cn!q5A$St|<C>ltvhYo|hUQWJK!Sp#j)FQ?BHlhE%G89J}8CU9L)(KY9t
z1`?WSIP)-29VPAg$E#Fl3O2Or?j|W3=w#0RF<D+BnvFlRf7{;-@^0JKEE6<P`*w;-
zL8t;Uc$}Ze`rQmhOFy%O64lX@Elb&q57Nkwz2;)3=pHDt8fUmzw!_yiBOMv;ilF#?
zuT*KJ_W)PjOybNW5$Tw{tX4DRMGfR5H=Zu-#Mk~&Up%LbcI}ccn~r8gb{jeZk_BcU
z!1`>DSC=B{=y@Rbg>@dcc{db$Tgwcj3JC&+Ir3=YxBE<4V;2_YwtGRi+!Th6X(WyL
z$fARd_1|(1FJax++8V1QO@UkRpw0$a8g)3Gnmj2)2lIpJ|FOlJK&xE=9wse;P7-+E
zFuO2Asd8a6X@{?+1OtnHa)==A7qzLbBz90sY&+fMM1{kCEUmWMf{2)LmH{8+fWjA|
z5A2!&`WuXkTORPDq`dY^FEhCySg18s#t<N5@^)I=BTmFoe|7cKL2fXiMtOGyVQ{Fz
zK9f6>1#R(;*F!QloKvxkd3e?sdP+~&^or1<%0BDA3-`HUb}^^$NP-c(D7IR_O*ZiB
zSD(Jtzs3y}mo1aAVnf(_F8zI=)jwQrW^|XaH#fYb(NA^zVgQoli0fH#<M>6Xr3VpO
z+_1~-w)0Ca1GuWh|7cpb6W6#)Dv@I12HoF73`cGC;rGGO)j`#_n6-hyPsv&?n5AJ5
z^UT(Rt_$WD)m^`1tb)fbVo_YcUSlgu_fHpohn8IFeKUozlb!F(Idg$eSk-o#jV@GB
z+EOBU|6-Ap&ts2VxIogCzcul>4rJ$gYSGv)VNk{z5g5Y-Hp~VZ5fVD!Sdl~EGFZcw
zFBDE2ec}QGmKtn3SsQ|SBVR}LZeso8H*t9dZopHitKXTmVLkq~^Pjsk;4SWFB6DuX
zf8myr^Kn}6PC~2FnoI{XwozKx7&qMU?{^er(*m+<Jp1{V^l&joSd#Mu4+H`?Zl0zI
zK4q^0({vf(b5l>I06i~c2S(4|l+y$YVZLfg1ryXQ*?;(2%?oeBLT@m?qCiF1^!IBj
zEbyFJ;P~t%K1g>kQs{N0KylU&Ti;SvV5&_*BmVs0wk7m{yiSI|iiqQwHaqC)O6)#*
zQUL7!?*8Xju;Wjj2Y)wg-vyhB_oUbo1i|q}jn)?jGW4H4@oi58CwO1!8_j7Dg2vh^
zrYSBmOmRP&pcUhW?Sm3+or1#9l;13`_=yB}(tH&{S$Lo`EFgVPf(SV1R2dU8NwDu}
z`+q_^^~?tAP9+J8L23?D>!Uyt=<z<Y59Hv3-Osle_*=x`N`~Z6-~ke_nYkMbD)B>U
zI#FyhO%gVYPkr^*B7qo1F1gS_07#LY0lSbCc-;%h$S08Cv;(nvG(!+lYmzkG8l_>e
zyJ*lvl>{B~UrVEAh2W%C%}o1e8Mt|n+@4@ef=Gjz`+`owuuKsn*)7S!fWY&-K6esu
zsQw~z?r=pee(9Qzv^-FWNoED9B<QKyyy$XD3|Lo2T}JE`pfZYiBD9YLS`9tNqJ$(M
z-usx%+)YK`DHfyoL?(kQ)|cwmD+%Fj_r@mLl^}e!{)SE-8Lo`!UU<+Y1(SjAytLQ}
z&^RE;!$hRO?M7{a)f;J$Ot!g?0TDV`7bD!-C@>IWZM#?_1FalyejNAR@lV?>1B`K+
zU|=OD>0B-gLzv|)#z<9|eplja<fH`-;iKh6C2}C%+^LgzQVq5%vPCk?wBg=W$H@zM
z@}PJ(%kG8l4)=mfPm8$@Ove_){76%P2Nj(i)7|Q@{XNSl_Lwek;G80dq7;FX6kT*!
zL<9V|yYwxS^x*07=Vw13QUdk0@J?Q34WQebxg6ZA5Bhf<@00kHA+zH#dpxfOJa^QY
z;9}VsG`74{mY2#PIAlpQDpCh^Ye{Jp3nR$!m1b9@5+MK4mwR6QYLHai{A4S3hhO5N
zG~4nBP`+ABEUHz7G~s<Rc4ZhypQvs4Gf04~GRKx_D;1zFO`c@*0BGB)?@ym0fM@)q
zz`JY$^!>INY3~P^I!eFJ)J_1|RhB~07fNv0<MwhdP$4dz)ny@u01sYYob)SFfEqQg
zQ&p){U>#?!xXDU@ObhkWm;cED)nmM3^&=JXhj>;m_$q@!0a^8uwG7bQN-9zRONF)>
zcbU>0CAcPD5O+~d3Ixrr-5S`Y!u;>^Sv)n0uvOq}7AYwPpR?GR?N+Ej8sY6f@mvA^
z3vJge(b)|SeUnG;4^nsZXJOuVPaa&~8TcsY@dLe9tCDO56`0;|t35m;2MHszhl)<|
zK)j{g!{i7m1dN6-d^42=dGFC@x%wOsGB;07rcmJ$&pe63BLnmk!TsNlv%srSWzv%|
zfM(qHM8kI}c<?0g+b0(W5PB`(Z<qqmDeFBna!L}$zBGs)W~T*D=Q}D!x&R*2A+*D4
z;*jbmRCBv)10!hU9Defx1Ba|%jV^4WkYgHSS=_XORi<-2=h`v`AAG&HjX@Zmb@D`7
zwl8A#E#2eSO^m^0K;eL^v=A^lUEt7o_YbRHPRJR&Y6Lf8n1lt62>`PdHFPxoFUHU5
zIAzpf2u!0xC$^gTU?$kf;@#>z7Ww9Z>J4E-NO4N8ush5PjE4)Z-d~@`K7UjTKkjP)
zm+x0em(laUa>m}aFaQ5vw4&_OsMUu*YNZ8w&$vLPW-Bx0@IUNvCFKTzOCQ$FvbL(S
zIbb5MWG&#*0#+GsJ09t$2T>=D{p&i|p~E3D$aZ-Vi(Yu|snMbftv$zO<}fz!<Z6&o
z%U{My=5v(oh`O*^lI{L}ngy=9Z|_fwS;aQr@rV9Q)q%OKF{h>uW?&Sr`x%<Bj`{m!
ziVtpSgZ%h?qwonP@H`r%{jp{f^S&^H=>=&+kNz?KY%&w{6&!KVV5ET|i(HPyQ7tI1
zIDA5{gb^0EUOYAgT5va0RpD~g0)l7WgPS&t@bBHr5yu;Jz>~UMn=qgW#A}Y-2I7p6
zXes>0b(S6$X{%%dj%vcmnxo}Pyo}I?tq=-48R4cm?a%rj6kxUdYmueG2>G|CRsT#g
zfzP36YWgV($VQql>IE=DU6L%Da}o<&s9q9b-6TUqb*RI_2SzybQtIwOOE!=ds{5#&
zLWZ9PGG`<YF+q%Lf8jOxT`*o%h3zAdAzAGEL62o7xb@&=;hH2TC_f4jIN3siu(%NZ
zXE-ycTWY0`NpORX(LvE40VIeEnP77&W&zpvYe1y(KvU4%ufO~xaC`Kd^t*-?d^A5F
zN{--#;QzAfmfmW>*+2KGhbGy;TOoCFq=^q2TezM&L~1}aX}@4TwhQ9>U-@sS3IJ24
zA6v4P25fb$nVP@mfPz)xc<oa`FsCRAc>h(0UuwiFUp%<r?U!2ZS*zWkm%DwtH$feW
z5*xd2WN^defA0KtY$CwIqW6o2q7HI4`AV^AJW%Z;WO-#=6wXCk^F9Bg1~m28<gJQ$
zA*xMB{`;sn<RXu2TMcUPKL7v#|Njh^cRbZ!7{~3InY}mny4Ss2dwrjaC|guU5uzlC
z>{Lh@MP+0ZAr+aSl;WP&uVE#WN-~P<z1Ppb=XL%#&+|H;@s^nSdULsRH!NAczgSBz
z11A4{3Z|B;L4~*M{&*2VC{^+e>y(p)!udH))yHZe<e+|LC`<@ss!u4J9gu@j2lM^3
zPBqZ6p8Pj3EezY0656TR@_^~zdv{2f1e7xCQo(ppcr=$ws2*1UZ0vLQ-HRk3pE1V0
zqliO@KY@SUS_!O`hOg{lBSUBxsD9d#0IJT9+hfm_!Oeu~D0`d?O^@Q-0{=)sz(Tdg
zni>u+UHdd}sgDdD5^sZxgJhsi*Hkw0As%X&8Y?cHQ3vN#b*K1fSumfwUgjxD0RDf%
zr?{mxz+C^=E9IMVVCA2CTQ`XavBx|T(6|O<<?q8`74ks)dHuu2fEu`-IcQq*jRFg8
zR%Y*76`=510ev<%8OQ+_3=D=efy8`aZE{KxEHAk8#AT7eHaY)8C6_iNbg&(k+@%Zx
zV~>xzF{?wtXyE~&13I9VQrI~rtpYw`BI;=l>JS*}pEdhL7ecp(ziTSsK+x~|vrnPw
za8TMIf>l)?)+;zC_wwUGJxb=6$0>FAD(VvNRAB%CFLU_ihVZbK`Db;3tPblx`pe`s
zjX+KEU}ocWRk$YWEyDha3{o3Q+HOyb;c@Csl{h{Elu0-nhe?p(vx(g;y4?WbR*!QY
zdlA4)b(S^xsv5Y6)jLKs0zB|Nnf?6&0Vb!ehFpjzK#xSP>Nh7UI4<q_r{zt6gF(B7
z{3v)BH4Qvk&_#tw<6QqGZUW4WF7S_*DZ_}e<3gyO3Gn)tc(`9uh5pQ^Je*95un<0P
z=@M%KZLF4_^>6SH5fQx{zh4e=S*4QSmYKjAHIWOV-8itFY)tELkp}$_hX}dPO+aw&
z+Za!i3cQJwxd_%`fIl0?GgEE?l+3@SN>`NObl~JjU9KS9J5lHHD$xY~^W_T-)KY@A
zvsHKL-T1)Y?NwH$y$OiMa3pbdDL_kQvc*$PPH+kxP{p&E0G=gX;GLg5aGHiG;$Jd>
z0^b`lu9gZ^UVSdwrYzj@>EyhhzJ>AM*xxp{vj>0DEVuD38OT^YGDlamhzS<9&P2@s
zyw-WJz#k+9$DG~{EG$o8eM2_RdWitJWydYwbcn<2j+e?Oh6b=$f~cN~6hOV(Q4g*I
zqF`z(vZ7|(iBVi{%;p@&V0rrfg<IP~Fw>jC#wOl`afa8{rDPZbZMr!4NS6ShLk+#_
z#a^_7KehbOTO-I1dz-n`#Sdq*m3nZ~k7=U?90}N}A%x3g?H}p+V6|oS2RiqR*5)uT
z@>s(VO7}^Q+^OS+()gy&T7ge#!M)u4fk6h)sx<m5zJU|6RnuQcIhN6!#P&bTd!i4@
zU7wSm^09-=tANxf8wX6nZs?2QwjP|mpOVx6gatIld5v!f)nNF5up}*8J!lth&^Ih%
z0_z?X_YSW&Sd~?-lXsCWh^#CT-ghuSTSB5>>YFw!L+};n?R6c9daouPjL}1M2FbzU
zOgHA<_xVtjiw>}?mY+y!*~TuF3T-RA`iW`v&Sac@sSOPG<p*ZtHnFSrsowcA1DHoY
z&(%hGZBTSl{wbNWj`4MM2S)|}!9L8KaPz&c1@0TMK2KQIu<OHnLp?i3u)|FnW0u>R
z(8LueBKCF#Gx=@sfX8$k8&is1u{x^>{}g?>gFY=|14Y8f_RSRL7oxY@cANr=ujs}f
z>|Vxd_+|5&RcEo9)sQoK$0;BjVH6seyM&b}#~OPv%wswP<CfK74WQrskKM#|3A33R
z{d?-)0+x_cY<J<L2COZL%sSdFVMU*U`c4ikVOq7yNzZ51;RN;9>6>9oSTtvm#J<@T
zjDB$?sxVp|>~GT>+-hCI9HMh>9g<kbF5OanP2yAso@YA4_xCSj=K9G}rpGt2Qg!?9
zo_S<o5PX$Z%(Q~N5O?0@|F(_YyEqe}M<GKUsm_XbXayT^nE0BZOAn`2uc$}mkicS`
zowPo=iZvx|E#J#yfGA!g{OpdOUn%Cl%A&N69b^oe`yj~#KhNv0tqZC_yw%{A`?U?s
ztyiMb@+C7=iY`dDdJw^jxi#;(+!m&uiO!Zpv%=}x_Ad_~6QH}$gmwS;Hpbzm6`SY9
z4tnR7=Lb0npd6I@C}e>S-pnvsD+F_b&q?cJ6Q@;y{L1dT7Y_sQmF6%+R&jyuw!XN{
zPdtQ70KsK1BOK3}IGV!43#P=ji3$ficwG@~xmd^q(@E45f4%r1*eOu?*B2bTV)Zqq
zO0s~d@M4VFjy~M?cF1*m;GlVxTDPx>6`1;q_{@C;Aakqz$D36ZIAFmQd^v#~%05WM
z=ZXu#3F5hm-9;*JWT>oFGMW>T@4nXDToQ)t?r^J6R~2}Dy<I%yE*I4KQ%e=sML|DR
z;pdow3Ork6s~275fmHjXhc$Q!kiUIYyNgi;x=xL<djTJCMYx1>B}&0dD-WiPRb}|;
zcIBhwJ$~2|{l2I$Sq8WljCJmFr~qN{_RB&A0SGINQ5hYT1@=FMve|knV08NK^_Tw%
z!re_PB~34Rc<%6Kh<H^6l4JyU1+EIi0j7(k7V`?=F8|8GnF$As#j7!FXGMV}uH}mS
z9VJNeUVC`&5e@>XGQMBGC=QE3EGBPv=9${i@KKA$!_vFK64u9(z@un!<cBIA_EX-U
zPs>t;kz!uk3yd<rcYt&|f`b5lch8PLA1A=OLv#i6m@G&Z40AV56G3qo-JPriH8{yU
z=NNcR4g#+Ds6>Au!JFl-(mq`>RCZjbEF6}H2KHwq(Vb*yTcMvEI;0Mcp61UeR*Jwj
zLtb>RQinsh@^@`T8nAFLawPAG5_ndzdG8O=0CwH(R1njIFQzKKtTHN~sMaWyD?))^
zCtN1z8@1rd;kse1OE@?<#bRH5lL8?6bT~Xg2l9mcL$bc&;l=!?jlW$xxt<+wf;+1R
zb=s+mfxHB8wH~oB>7jtPfy>{(FarpSDYVc~BEoaXxOyv{0*gkGr^4cm;Lhn*Q#LL&
zXia1-E~TfyhJ1a@-4qONT;TG(+@J=B+q<Q$Wi?>TdF~Gd0eIb%mk(1Ufm*}U2jWX)
zF!)`?;eMaGle-K1>dZ-Syo=-(%}0Vn!@QjK023&-d7&^UN`n4!(+`6!s^CQ;oeShQ
zg{a?ud?xeMz`I^nrWaEIn)TWdvs6=Hz8Kd=?IuF7f~w<<>k9Bq`h)6NpD8d-^(+^>
zBfu9wqu=-e84%@ZjxJ|11BcUs`|gLULeT5(l-K2AK;|o3HDfRXvl)sq^AZmDd9Xhz
zf&xIKYMDCpn!>B=3@_@eRe<i{Mic+OUGT6W!lE$S6qMDbTv-y8Al$W6YjcnudUcu#
zV~tE9?MKeVKeY-VqW7`#i{Kn)bnWb@REG)Jkh#0Hf675u{ynl~Ni!C2ygb0~Vgj#a
z&pnD{m4z)Yn?1I<{j?#r&*CyasNl<aD`{7(6l`@{7_&ys(i*os2*S=(i2qf2kzG_A
zhGS(`T)bCkT*(i@e|7^*TS+vn{T7BBkf;9W*d~o@dQLm~0Ki~{Y}MvZ0r(y9`%aP{
z9ik0q9IUFwAYknE;{slOa58XNlf6if^2I*3#5Ng&zN5T(!4@~nm(09>AjE)BrCYpt
zw-K;;9TJbX;{cB+!Kgu72DHy;e=Bv-5IXJZzt-}yz%e5(?!Qz9bWxYR<Dirw#Jj6L
zr#E5%F`J2Bw#*D@^gO2)(cS>YD{ftUb9)nOxhbIe`Vl?a_HDUfovaV3v_~v0;ma6*
zsIiF;(4zzQ=y#D?^nmJSd1BAjEcVg)w4iSX9ZEVLbkSB&5AaWOWM_@Wu-`SL#c*Fb
z<S7#GsOqB&La~g7SJMYDjls_adsyg@c(%=k{R<s<#nnGO_M#IjmH4+*?!Qf&knnnX
zNLUBBL&LA`TCK<MBOgjyX18cgD+%BKL}<fXMsL|J{Bv4s60Y@V@fK~6ea-UGZ!HLO
zxhp_&>Y(K_j$0i`*rI8_&p+p5r3K}@{ec;FKWT}hbT)Z;TQrHVH2uC8n$Y^LG}laP
zkfwQ&{7-*$i}q8AJ^3$L6S^&E=dK(drd?a1xBj;C9@eY$X-<zQ@a~;&QIEqIjhf5Y
ze{we+@@J#bI8`Vx^7L`RH1ibgg2#B*yA(P!n6xD_SE>P)&J6#tf108FE_&Bkt4NQ|
ze-e7PK+=GyM?~xUm*;3$y^1JXFFjiJecsH{pbp;GUd6vQT%gs;yz`|!W<aDEaW>h#
z>cHZ{S^8&jk!FLV3u7-~L<S1S>`Z=;LAR0nEvbH)rm)NMwF6>8x!#)}1J95lP$mD<
z`75imo|g<p<{QlDWpQ%M6Am&oyXpT7_FJcovZsCOJ;I7||2Y`h?kB<N-M22@@Y$qY
z9wFr)8ev0oPpEybveZDbXZ(vr%+CDLzvK7b=0I#u;)wji#2p>K(7XJb4k?Z7-JKr2
z3oRJ##}ye7p@l=6uVOa?G9APv2c&W%ReXfZbUp#-6_14ZdoUuGAEvzIle{SPNx??O
zj!*MB1a;nj$Aq+H7R6;t`B0mqhP`8~D$sGH>m1(4f`V*&eZ*LHqv6BpM!T6*K^0$p
ztYVTCDZIFqWqnBiIXlzaOr_(2*%jyU{Runb-cAUjmls0XZFfwxHSi#05G-nPpA-F8
z{xtIDh%nL<c)fML9|s?T3hMl5Txe3!KKMYVD0+Hvug|>#91wigzbrBGqQhhS9%=u?
z5o-fQ<3|V%H0_mUjH!I+>5-{CcbpU&+kG&mekZT5c3Pi3p2LswlxkFHRx)U>%zV1h
zF&r3ijy*Bq7C@hB*iyuDWs!o>KFY{t9DIMMH+`*85UE*|hB4F0qdjeF!H+-SAeuRT
zqsK`Y>83f1z<CAazm;@QP8|<^4g=!hI8n5z=&t*VR|(xQ?ONIQ77qcvkD{Dp#L<OI
zqlS#nmC=L$#3f%OsDkG+>C0dABoWW#oqct|IAj=fQ7Ali$7jFfNM(jfBaYcSfpL1O
zX!Bgu%KLgEtlk-`lOL5q!;2@S%~*+OQ7@jzs7?YG?A6yYB{|d{<RJgCQw`ZjRf}Xr
zk|B8FisHc_c~tD;W@KYYM&#O#K3c3g7$*b_;r~-WUo*ak`bnuHU(=1L-Wm;XVTjr*
zC#!^}-#c5}>{Cb0g5y(_T$<qI;-<@TUK#a#F^p%A(?GlxC5E0iwZNtEq_=0M3L-uT
zIqtBnfzBmLSMeC=KzkO?>q`=N^wyoJs@R%>>_xem4l(P&^_Sm17Tc+!G+YYd$x#Zb
z#}$RM{L=@Ul9Y73Hvw%)XPnQVP|!1rBbHn}hF~FQ_g>V7h(envmCtAz=<yW+ou>E3
zpo00DmouuNUuSE}mKiiq!AByY(Geg{w5yuwf*R^uTlKZvCZin9<StJN6}lpe5+>@@
zkhV{)q-_`p?Q&dr*uF-EFTFF;@%Plwrz;%Vcj5@>Pmfdy=RFg!y|e$=M~j{Ft-DRz
z7!G0AhFn{fOkp6VMys!gh*FCtb{}h3MEl?MAKZ*Hg{94l4D`<lDE#*Uzoq?h$nnCS
zt7A`1;nZH%N}Zdkh}bySKh-UX+=K3ws=YM@r|h(-22DIFu_sB%`U)e<1N_|9m8S3@
z<Ytj}r3!kf=qV@~%ZJKmqdg>}OyQ-En-deeGFlnjbL+?zHpFXRORq&Vg+4{aB0qaY
z#I01X5jnm^gHLG#7Of_b9k|ziGgTh-efc60=`>Bt{}x^K)WZa{Z8MuGZL;XY>dEJW
z$3D`G!iS`cN2%~@o!vu3NCw%<wYdiI|HQ8S+nwGTK!w`!EU_a$B+!T7JP&^jOkiSD
ze{P-M;ZygV_`H#7Q6!W?m*c6tfT`6U>b-LoAj;~q{p?dAM4in}>(p7nT&t}_GG{U9
zX(mtb&hAF%BXnN5Ppx4a5>e>{1`G-&QujXg<U{EPMe#8=Hn8wSQAVnmF>nSDoJaV%
zQO3G3uE=c@+qm%FH&EXQEL7_sOSH2iV({332l1O&?e!?_K`%pa_80Ttv%rjWXyRF-
zx|<m5SG%-`bOXqpo7~TLo&m|75w&m6-N0<72}488`jEjF9<BG^7Og2u^<~Ycbu6qd
z)1Z-49}>-CYHEyEY3ZXGj1|AvFa>`yN5+0VxN+py)*Gh<+ASmHqU4EHte+|I;qqNw
z$P)e6H$68^tM{l1?c83$o}4lfJ3p@jyoB0v8N+`x&RycIsR}EY(RexOwY3h&^zmQ6
zePV$2<?nRkjMp;O>#6YJbeT4!B~}$)YWPY^ze@_4K}%RW&zmhx9&MNo*3YzM_&__v
zf^t8YEMXxAe~UkdYk^4eV4HHqJ=&GRT@Bvji<o*hqYukpO^7}<u7At!8OBz^Mtk~l
z5u<5ZzAZYa3Aff0XKp4mWBE^<W;mZMV$NmFijgf8c-zfiINa2QndydIhQ3AYuiV!m
zFLMfH(HOh`DE-8e+vg{jNJ|)7gi5mUTMb}kI`&W}r5|g}GJim;Si%VH*;><kc6v3d
z=|`ID5VmVvZjZk6GNzrsC3?779jv8Yes-}9WADsBmrP#4+>;H6XPnd_$V?|*>)t<1
z$}%SGk@hM!^(16bbbt(@sk#SVYK~*+u?iStz#4Ye@oI!s5E-s}K0JNp{UpX(!`->i
zwT=moxLd6;kwN~<!}x0&GZ?>1+vNQ-o7g6!TMVX4f?mzw4wI|1SiL#9pw46)GyIND
z1P7>ru#fpc^SL?fG_wth%tJaDS#{aEQA&jK)449c{TDFsT&am@riXuvCak3s1Sp8^
zWwPB^#2zta>c#Og!Uy)n&Q5Ittc!n&`~GklQ}}lH*TV=VSk0W`&`neY`pVcdeZi|(
z)>k6o0SgNZE|&b@9Kb`SEtK?nu49K?>MK$kSpkVqi?XPAxRAH$8y~reecZK9ZZ2Sl
zlKBe?dOJK7AMf<`^^WtLvg(PDspEvE9>>GS#c>cqWUTcSrw6+#{?V#+E*L*~n5#Zh
z1^8t`if)}{0C6RzZ|g?9P*SI-)-S38|JI_V|BNvL9s5_ue|Pv`QqA7xZHY2eJMtxl
z#4|%je$x$2$=%>Z7T^yvRfd-P7T1eRS)upeY+~Lk0nkp*+Mtdr0gXZL;kGI}>`&y8
z*t#YJY5$0^&kB{GvXkzZBb5_g(!E$Si4%e0<Fy&jPbk5Gnn3C71TJWFXBKoR7K0Np
zq2;kAN|5NqvlL0s3;Ib>-vpK<pxA#==$X0_@XQz6e|6)7;v3Ipc%!5tKhf9wf}Rri
zL|eV!=;nvtH^g;~MP<RdZe~x+5hZA6cTvy}6aYsaF|D&V<ltoYn@xryCHNDNCvln}
z1Pb_SG%u$B==n;;9H%nq1{$3^&n*HY*LItFepZCmD}U_A3zXq*@4)9VAu;f^Z<7qk
zQU+W0#bLeUD!};t2JdroiJhM7F7h}O2RDwo8g=;KAhQNPrkO7VF<Yq`{Kr)xq{oj!
zD8_@v(fS_eR2j(l^+)`^4-v-1&HoAF3E=;tt4X3?7Vhr5{7Au%1T}R2Y<Am3h)?>^
zk!>Om60U>St!l}@cP%#ck{}s=^3X-E*C@bo<HM)uO4Omltcv%hi#qh1AF(tfDnXOY
zmm!&C4G0M!ow?Vl0av7YxTeaK!GXupBF~NjQcNikzk)Quo6=h@se*%I-v`XZNecWH
zJZj8irVS3PGh-Gxc$o6)7yG{B3r%sxEJBzrco(bw3tCi#gg^16oiUn_a^c!#S66)q
zjXPN#s7?f^uX>VmR1>PD*UzRU8N$7zV*eebs)41$T=U*33LL5TmY;lS45<rSzTP{$
z`TYC7%j=31c#zoa|Mv_4`v_fbNF@oX@1J0pVAFtHk*vc^!BlYVPp$A>Cc)s>{)yfB
zWC&<_asJOC6YzJVaI{X6;8yB}q~xC+ed?wtz7#bDUb?HA^{FJ7w5ScVB;Y|t{0aQ1
zHiiEnre5Ty8uTl;s8EfR;6&<zw~MG592Kx0{qT(lTr-!lov3oanEtXlV80p6KaOJ*
zO(8&0!Pop;Bms6>wvWKw4DyK|al2Vm;m#mUvLaj%n0QmF{HSISSCa7Nk{u4JAEUEx
z>$qUTB~D0rhjaJ(H0UjaDFfNBG3GcQ0}zj1c8`B(3S95-kqt?Tz`w<3@WXTlQ<U3e
z%hWZ6%r{fE+8Oddckr@|^Y3KZcZtraUoTAHbQykXZ=o!-NxJ4K&yUfXo?5joX`6r`
z>3B7Fh&0eqByL-FFVkktg5!@?QbGI1ZzpIL2bGrR@!Su$X{P^lvf~x0;P*&a?8|-;
z$js{;^D1RPo@D_8?fC%r4kYt(^9w?WK~juT9uu+@vkCht4j}A#BgLAFAI2$>`Ubts
z==<Q=`xFBV@>g`T`mb?A|8SzQ!gUt(+|Vt6ai1~V|FX~cZ4^6TK6e>sdsvWHQNj^l
zPa`NLsr9oCFoE+cDL3P9EGXJ=?iW7Z5V$syKNA}0fL)98b7~O_O7nOl{j=Ht?tB}c
zH`-do-0rtkbl9>W?~MS)zF~ck*>#yG!EPQK)EArE7-vQ;divEViu&-nIpINh#Tcg2
zz<;~s3Nt#*=0h<*r3Yi5z4XeN`Z0qPX}LlbW+ZRsL_OW03(qV(+UXfSVWjr#IsflW
z2-~&!?HrFTtn@s7L%*w<Cau5x<3&Cb3Y8g=Svsi$mtK%tRQ7bz;;S;;yQ7&<SvOlw
zXp1&j4|%-TiR-5sUwiOlD2xfQa`frnqiDmKCnkGl8;5D<vc=}%Iui=6`$*6!(1OI<
z1*OJ86SQ{2q_L{^Oz3plmwn58TA=Ar=-&KehQ`|#kdP|Nj24#18lEI-LW6iUld;1*
zO|$m~_hue5k}G_L?3grx_>1#x>w`s_IYGN_%ZLT}ytkv3$5WtvhY2G8F4N@SrZuE9
zup+w4tm%#H6iAE2f4nHPMr)T<+1ob3ioUB!YDA}NfMNhs$61pN+Q<5P-GiHK=-A}r
zoN-wVaF1*rJ`}V?OKUhXs;R?)h7L6`i#$;WtNCC?*8_Bj$IGwsXf7u*r}hL3+o*$~
zQ$+69D0=h~-_=URaiP}h-F_TnWN^O4{XC_7=byFteq8>`jhyPP2uWTe!yo4qvGz$u
zMAf{oeAbT_wZ(9jCsN38QT<EeH!3sAOU*pt9?6Far9WxnUy%UU@ImT(84GIjm5fs_
z=0~a14is%=5<D?muwo#wAv(wD1F_?~5ie?z;>uM69Q%mpr8ahy5n6w1&0Y|(+%LFS
zBc=vPXFYw>QaDlHXE83fuR=)ucu(fxM?^T0bFSl5AQuYz8pM74ya=KfVxEn(BtjxO
z`QO2C9>gn3(fDa0hIak;F}7iY09;Fvx2?K(k(?fO$VEp2$*q6o6MjR0&`S+cx{Unj
z*#7@|?QEn_9GUjz`&|Njz>A$=x7>{qydDjm+9QKp-8FI^WD?-yv1w29M*^r%0MoRJ
zkVQ`w#<94E1Q7l>Hg`x-2x+wcmuNtfL)T)54SISAaONN!k9aAJ{>mskL!t_3`$i<|
zc_I-Gpi3)xXGGD%9<jHtuPCC;bVx1R=`HyqQ#-X@9JxOJ6Y9;Rj2=G|r>r}u!Mgev
zVwbuk8g}qwYrU?5$g)AFtW-&G^ZD!{KVxacd->d+4Fx>9+)-9(FG&Ww<du2XS{cOn
z{n2n@lPZ$9S6>_Xnhb{S&+O#7WD%o`!s?j=M0CgXnp0qcIu!4DO{>_JL#`ZM!BhQe
zs4G_YlI&>>&{<4p_oOJGyk*x=vML!}o)+O545z?a_R!Khe?_F`zQ9r5MMlvIhx|nD
zYXV!)5v%ZGCB*pt#oJ*Yb%a$n3r#F&foUF2T&PDGX)w}>*?v<;iaIwdCywa=hu51`
zTRI&2x#Dt2Mpgrv=NTV;J);Zf_@*B%2;$Mf!ZV-e3^Y(;s@wA7O?|*BpAxkARMDtU
zAIW9sz8Uk6;Q`DL9#m{J08&7$zl@KnqO1*L%YqhlggbO5<kz$j5K6o&xU&hUvF2XV
zWdn6|D&(MGWhMqkIvICS1c+#MNCCB+CL?!7PcNA?0OrL-5OXG?aqGW6D&1=6hH%|J
zI}0kb#)sDHc@WW4wG&1;rwB;5zJ)2~4;4bzl{xUrL?mi`qB`vv4&7n6a&G*X33%A}
z{5MfWKws&L-wkvqp}xj0cZYW-u&JuVwz;l~%FG)-ALx`vpQfE1wU|tSR`S<PnO7B+
zsBBCJe3L=Rmojtz%I@%~g=mD@JPt+gl0JEALL6}wXZKpmm_oL}Alb4)1;uN)vF}L`
zLawzR#&Q`<q38CVsx%8_^dtOphDshEayV5|^R>kU*m8s_PBtqdzVrOr7I7S?+##{+
z)Fl&0P^zj}p(>!xuw3JVD-5VKmYKB~ZvvK<thk0+IrKjO009606qk1()$bR_ZL+Vu
zvbng%z4rbbt09pjGD0CC$*QcZh*Bxp6^WvvFEZovL6Mn}71>)xb~1i`|DHdd^E~G{
z=e*yqvnP)pH`4rz(we1&ur=xdi@(XTij)XupngT~;-f{>J}HBL%2p2^w$N;*pAy1G
zyWD6A{|%sR?(O@hegjZwIQZLK7Qn)EW06}&y%8sR<D8;E04~kA_~e(o7<nAW$v5x2
zk<)9~s}(u`x-9c#8X9h_GVG_`>4s6HxA#6>IT3-%5}8=rG!86^w*HdKl_})-m2?i&
zLKilxDg~ZiWW#E;H9;Lei$qYk_=yJVz_Sw9e>xVd*lpvgx~o^_5F`FQnTPq>FkU;x
z^>mpLyBgyxToXKpNJ(1enU83}>1(t7cb^@>k~+T^6ANb%l$!TJFrOA&<>C(!Po%*L
zG>HZuG-r^yS3d{WZ8f38&1cePni8v2usJ1pW(wJfzLOA>tpO2fw#Ij($uT#}q}pDt
z3B(j<dtrS=9jxyo%I?4R(W4?Iz40GLk*+nBXB!6UAoMl)XFKU1T3$cAK5R9FtS|nK
zHp)<gCu1S|_WN7txwkCmG>`Wo9-Bp1v;L~W)ESkbT(u39HO$f^T)zwP_v7Pju~mhD
z-EIEwU8`t!dpOqrsTnDtbiiWkRA4JSZs_CJ6_lRg$oK`-TBMio{&$|73bg(@!uXSE
z30;-!@?{bGh%kqf4E8dVLHp8p$1MK>8s?;DLQ@`qnlvZT+OR4^Unf}-d+sdiMM0)L
zU{r+47ZDz(#VCR3)*tVX7t`q5dKxbc-C9&_U#v2NLJ9l>SLp|~C(!~h?g?RULIocC
zyXl210*@X(-ZFmzRiZa`d12jw-l{BP^Q2USNnQGj_wvTkLF29EP4*vXqcXiKMJx$+
zb{5nvm&VY~>RN4;U;0o%N$Twd90_`M&vo?N7(;paPGgt+2GLd9G<vodL=YHQ9M_W{
zL%)S@B(%$ppht2n9313`5J+3#)h{@P*6uB&@dl5fe+{FFVRsZjOs6uW85u+MCEPjU
zyeH6gZhd2ee0gA_+8)C{97A!O{4`>>r%=7fih!w~a$xV{&DBmjj*@MAc?YM@p#Ea9
zACKYW;FDRa>xFmYC>Lj)iSw^Hw7~Cq>dDix(Dm`8C(o@3RBe(mV$Se4`u4(lPWM9s
z=oR@)kb6y{j)SJ+SNoSx8)X}twjLQ6fBm}Wef$*q`8C6k>Gu^BOX|%O6_tUX@~0S2
z^-rVI58}nG%~sKc0w0xnUuiJ(`-$b4&7zy^%c&A8Ybf5FMIpOc3Ir?Mg9J9`(9v6I
z$NN5QphilByedg4h<)9H%WYpk%eQSgCth!%4o>Zf4EONxuic}fduS2u7W0W0uKSC&
zUb87rS&{_bsc;q#wiR@_fZU~rZ5LfwZ=LbBkpv6+NUb`{Kd7f?d`(@(KKkXkX!yGp
z32<p~`K(yAiZb7pxzAfnhUL9s(DKlifU%Yq-d{%R=uXk9J(U&(7M8_hHCiJMu@<2g
zMt?WZSFNwlP0vwc+1TExQ+nd?LD%`<!oU{l6PZ*xTu+VJ-FZSr)+`21-a8_}^MBFM
z(6@tLZM0a(SVzg#3u0h!N%Cb3X%|gVQTY?bK#z@V9<O3q5rvY+k+`AaeH1IrZ@d=C
zh_(3%6Ve}w!pH%~Xi*gzmblzWL9WGu`SfAszf?qFSW8UOLXQGVq_V%PBY?v`IZVwC
zOp8Fya|(ltONaALuhV_3mJRc0o$PIWB?2d9m(4ykP-8C!{hkpXb6^e)c}*G~BCvOb
zruRWRE%qR{-S+JRE^JG^x^qiU1Sq#113c;JF}d~YOKFunSbBfqD?Mou7?Ci#L%73;
zSsQ#3S~|*)bzfR+XcQ9x(eZ0Sb0ik*68BfO;L4*IXNIBFS7i}MOb~+ub{sbC?mqbE
zq%f8*Z~vClQ3P-<>?iz+*|3kxY2R~uMKG$1vx27iBH-%Uex5y$1Cu@x)Da&ghB>Ou
z-2A~K3QU0>c6Z&mu;3=mUEOmMm``L?<HmoYaG5hpPAi57yLIh6$<GLnz17N{*$fr~
zvvfgg=;Fhq;;c75o|nclNKbC@MTo;E<FS|nlcQL;%)6nUC<3<KQnr)WECD<37Uws%
zgfOPJ-!8pumcuCg%2-?+@xX(+)=OU%!JMUjl^tOvVrIyk4yCCysF=r&)c+R6WV`Nj
zuW6I80_p+y`J4cE9?Oi_M~P#!*<GH#&Wf14I+@z73-Z9EGp#NxD~WaD-G4R)D`EQ|
z+8b295aE-ZeS63-9_!(4_glHGj4gAsIbBXx1e>R832RTKF&{~)yrI)7*ze1On(uOy
zLF7z@#E3otbNYiFtj?-nu>mx-ee<f&BDE_MIwFe&<8nJ0wNx=SLDzcuiyH8){au~3
zojm5<Jg~j2tcv+<@MnDgqXpV4C(K9k6tHN0Vu^CI3g#FvACmq=7b;tv0v_2BG1&^K
zo{MYB*yS&oB)>#}v?mDngK8p%resBYD^$YNQ$?q7ZF-=AMHNQ<A!11{mfR+26fuQY
zMAiH$ec0?KCw8n6v8SAv;6*wjX8-%wGOo)2#O1jdSnG(G*Qa;y#-0(dmFU)^OZN=n
z+Ox5mn8UnfJa$X{-ICb-AIuhgR7UWQi6`vT0|iX~J^2_7l_(Y$(xCOr&<Or{dU*KL
z$zw9#c30NR_%J&6NjPI-1QZVEX$Q4ru~Oc$Sr%3{Y$NYo&76o4bYDnYXI7KJsQ#Ti
z&5%ijg%MSCpR^kS=ZOpZ-V9RM@3q!UtEu0p^_|^iHoL?4!Xwt<CJ8K9-Cd({Xat!I
z%voIPHUPRH@6h+*Vi+N-G>ArE2Z^`&R{cTO0LaQHiIgCM(MWWRYDrT;MQ8a<wQPMD
zeZd&dA|!~JT#0>Y9D4+Ye#o7kqS1%uvoj)ZS9meknpE|e8%*%0eJ3{TnjSQZ7j|ot
zabeM?&Rch|u|mD~kMghq0AhftD1{{(7WZN7e#|N>+zI0!G&ccw&uGjEQ%o2G-qhE?
z4+n(2gCV7O1hlVGyMHaF#k6KO?fgFCV2HT3u<%$Hw98a&YuP9;>oN7%<SHCQwc?V`
zXX^lFp`56`{TB_);~u-6i-Trb`{~qrZGf)sU(@X?=-jhF%dAiw)X0lQykF6R?bLMa
zDPar^6j0avVu}M{PQH}e(pqrK`?9opKrtHQHJ*zI;lM&H!Eeh`6Q+x5`Q+ky5Z&o~
zENYV#N*9KMlq)qLmon}5ql{^!kwiRpdw>-l@$g04vueQIrz~yBSu04XWur@T3oA^l
z94>t?b$BY@xNzyl2C^P2=cL%d3XRv+sG5GL0ikc{>aEVd2&L>vwW3*8Fl~w!rqWk~
z7uAXT9zXVw^{DVRj0*>^XcOsqN>yQcDBynmS2AcLR<qr(J&gbSY4?Sw3N|yG1m{Q!
zc=;kL;Bgra?3v{`NB&a*|GOJy0Wws;Y&}0-LtumH8>b(g)j0Gm_z<SLT57mWpR62S
z&IYwGzs=vM3~s&&*c~%kXyT@&GP}qQOkO!g#<t2Zw64hDHb4igpGqAvj&i`9)Yi+r
z4JG)Bm2%cN)5GP+n2nK54xm0iX?i7D3HW;Ymu)v0!1?4FdD1*5&{n5YHzP_=@w_&#
z`Uw+A+kDW3zg*zPaN%*_vLeLsj^P+|Szw)%(0oaZ2Q(+GI!1F9;dM#%50+3?n0rNM
z6?&BycKbs%Z@DVMy=5xp6K**0dgie})5-_SbX;>k<P|{>FX(IKaQM#m{qa_(1Yj}n
zU)6ImMfh>1rS6L}J9N=56JE_61wnsD{%1oZV5Gl@TffZ#e{(uQ2Q!5rQX}q8QauR-
zU+{T~W^#f<n-G{+34`6h+G=ts3APYHDaU>;I6;vUiz^X<&~$F`{KGh&HtzAg!+Sqp
zkni|gAqp>QUb}65A;IZ`n?F?}c)_Xj<@e1NG5Dlas8>5qf^&6v>GE|xV8wm=6gDdk
zs;?URZE=c_ARiXK6DR;LG?ru{nIyq_>3W~!Sw)a$8!x=YAqXsA!)y)J@vs|YIu~(R
zAHkMmwqlqNP?!*XO<bhlKW|;-dKM+flO3KFs}Y7To(K76kEOxL>X$IzBPB?&)cT^C
zEdp~<FMb{^kpY$NfxR#ZWr!3JTKF$s6zoD7tkatbaIKocC9PW-IQ}U!TniF|7i6iQ
z8e3%{W>9bBQK||U3>Q6UzbXy^PM@y!70JPHCa1vf096Q4n6E0blz{VZj$69;$;0o@
z9C$x>HQ1c2ym3QI5-uR~!Wf+bJb6QVjM7IPScN`ZoaMqpwNJ6C<rM|^`=-&=D^3Hl
zibv)iP2dmbi7ZC#o&w0Km9F^}YQiN?zJv4(DL8#y!nw*>0obZS@m~kEz+y7%sI-nW
z$b<;;@o&omCEZax?-3m^6=VqW!=!<$;$9RR$V1eBL4U6kb>Z8~JTHMm-&ZS+s@v(v
z0UwSq=46b3g#N((<%=@#e1!JK&KdzUy&~^^#RIV4R5;@2BLg#=b`u&NG7xr6)HOT<
zpuMKw^@*Jfqz?9IxO|X;@GG}=+{pBR0_zz(As_>@@33!#MoBnm<4u({*Mo!dfu{jQ
z(!g!$Gt=B44$RbUize}U@N3)Z*+~&;5V;yS!CoZ_>>fI!gc3anjn_>P_LPEOy**N1
zMZ$296MvnqK@UP!oARua@z4+^&oSqF6c*e!kePZtc=f))p7E_DB>x*cxL?5wk5fD%
zJPY-}&_^$+C0hcjy-gk}9Or_v?~d0$#OXmg9S^0&V{y1{ul9^fnjIvKTSgA7^gyYr
z`rb)jF_<3j{2u1Y3Z#pMnQgp!(74;lLw8mbu<l5(reXx`#sl~3T>u&b=hM7MA|Uip
zh$Om63yZIIV{lOb#-Hc&8aRc)T-KG-KaC2wX(+8;5dmiOEO%Y01%dXf7lYOmIk?hB
zhCMAt;9sAkx6LL$><p`133_yZtm5~RzLO(RAtF~nPss-j8Ef>vFYh9iiL@0&Q(d^5
z^?_?rp6Ae)trjTYcM$5wA{YG9bl`zNkAqe)7f4#3GcK;!MoiW|wlB?SgS!70XP@63
zK-MLAZGUeIsY+(?e6FSqO#dom1jE>&N;B}Q)4&#T%tWD8Elvw|aJH{y)!2aGW+HG-
zc^h#x&9g^FH9^FDQI8IX1Loc`>L)wfNJszQ5=Ko;NQ?Y;rks%#L|mM=aQr*SMe6tm
zKa({;w&kYwKXYb4h=0rnWBwsVWaksx|EdG%g_-w$V}y>3uXQadd&tXl3kxzwb+9-_
zwYU+;0A*|{aTWpxNL{6rM`*Jeq<Hwn>AKJZax%^(IgJdGg8skH)qrA~sXsI72ndQ@
zWn!%%hcXMVps4q%P!R9`LZO!qm}y1sT5VB4k?pRGfVe8me~3>aTG7GTph%%jBP!_n
zPKp)FRDm~NjaH?o>0ta^*~-y;YT!8G*ziVJ1%fu(&8C0R!m0OFhEK(5A!U|5pz_ey
z4gI<HIckI!V!xXyr<BqG%iC`WJ_^e4;faxz4;>xw*;=y>I?+RfU!MPBwGs?i2Qc3_
z%q!cyk6e*r1ZC6p88dSwXq&12nbblDi<*5rDU8e@aBNkraZV9<7seY+oR0wWV&c<i
zI#yV{R2&)?qX;XtV-%-F=pjw}WUiS24*u}u92t^PgmjH{TqXqrn3k$j6Aaj(I@xZ6
z{s#%Jh3^}s(lLV9e}+d3LfPR=0POiik{~wmtYeoF6F3*=e!Shm0m~_E5%)Am(6?TE
zR`M=0lvHe<Q`F=Fqbs?s4Vy%$kIkOT-(!Ks%>kX8)!Z=FOdHrxMFi@Q#RuoUvqE-%
zbVaW%FK}MLi>k&F!O=0}TT=-RUP}EdM7j9kB2O#JhyxK&<0tp_3fUl2Q{L(NvH<X&
z_B(h3M4(d**+*;H!LiEd!Ov+y=r3(4PnIRZL)uK0(RmJVQ=@tGEmRmjh$tENi4#FL
zpKVK6mJ33v_v_kH5BUT?@vK;e2u~^bc?r?nFgQZ=llmeGCtixzKSzkrqQPDt{Fet-
zzEFH;+Y<w&PEkr37b4X5*OM%x`G9w4a9Q2paDV5Ft}r|&0>2MyN`|ZeL=gs4QW7O0
z-pMVGWsV5M4BDZ_g`+Szb4uXi5*|uk-br9SMS@I0eo}dz5R5c9a$zRYFwR$%HGHUp
zeFg48Eq%feW-O9AlrIBud9ut}){4OWB-pdBPXu_JoyyWFWP!}6?^q6v63mFD?q-dM
zLTtW7PlkycWcun?=yWPUE%s%j^tTuouS{gBgvo<s;!tE_xiYNZVyOQ2PaI4MZcTAd
z6+lTmG{*O{3KW&_6}&zo3AcO5Z%*kD0Us@~^LkJf8g6YfDdF&taEX-LltcuQ+oQ@V
z_QSb*kh2@gBn5G0QRiygiJ;ozGBN3>0lt%#Z#%Z7K)z(AFnE**O%o*Y)@n`oCGtp%
zp-md(X(~%Y8;KxZh7->a(}p8((_=nT2Kwlplq81{A+?T@93OY6M}F}#=G+9RHIwMR
zKu?4tQH)(`v%0{77huW>CqUt?n4yJcc>o<nl#UM|zwp?gd<_9O>@9u_Nz1{jf<TP6
z2;lZD;d22^1mHR@{7+Py06}jk&c9dF17`7ybPux#;Hw(@(v4LbitR3$9ebk(S+bX?
zjE)iDr18h&uH}+IHFe^$^u8Vt?ubpOR>;6=+wS!J<Kl4NL!$7fraqLpvbmP+Ny7&P
z{qTrR5tuw4+J4ktAKv_-8c*kuhF*arn_HcNV7{(THs+!aSpvlm=2)b_hE$qzSCbE(
zo7{iKWTg*eoo(wr^OBHxWu>)sixbx39^#HE=|h@>l(2W91Q^9<elO%_1D-#+oX__T
zb*istjo(!q@N<HhxtEyW;4}YavkE<k9`ToP;1mN2YDc-KKw3DO%b$1esvb~JZfwTa
zA96qcy3b}X1r!S1IH!iw1CGY~Mw$V_P-^BR(_XWSB$-CtSUIelGiOY@lCvNvFwe+&
ziEbhRqMD-PX8?X4ozvdk;0NE{>k?wSD@ZsmF(P{afd`NE>5Ja*g6Ox->|kUbp%qxY
zXUK|xmPRsJS_n5tysP;rUptA^LAO47{O}*m?H%q0a)N4C+23&d7^1Atxt|iQ1KGE{
zv#B!Kq2oEv68W)V#3yAna<oPphGOsm8A~|esi^0C+dqVS9KT_9f=nAUE7i{Ybzy~f
z%nSp(aleqSeoTQn$F$&?E0G?dXNJJ_PVxBV5yT)fpnd1DCUC#ru8@7k0R5sP!kv9%
zNF`lAWy+`q#AUXq@?SjyX|7j_p1~v%xOg&<Q$+)s8C%}$gwp~+W4xz}V+I)s<NW9R
zP#yZ&&EmrbsiD=$->^w%9>E!$W$^y32Cs7G+|J&hf*4-EUbp;3BzA)3f`FMC484xK
zhDRvj{fPl;!#67k@ibJK9&(BuZP=A@pnyv>jCihuRisa#QEE{{6_hW{(C7G&gA?yd
z7T?F~h|X8et&s#3kapy5{MA7QRv&j|vtDl^O%e$&*l1KhjC@$!+?ovV<%+UW?c2z@
z{Szg>P-S>4aX&?fh71grymy{6|3k!NTuZlhl%TkhLn5K@05QEoS`2pELzq@LEE0p1
zU?u;|*7>9Z<i&AqX^N2p<PmGuD<d)`C@MW+$6S4Y81WI`9?>F)2Olr)FvKdtaf7u>
zw^+$QX!y7eXDS7lhv#<v=2V1*YAfF@2QuK{(5V$;qym={OeSl&hyH(6qSCUJ3?k08
z4y-0ogWNsB08yI+y~=@YnwI2n%kn}%pf)Yc4y3Zx^bmnZkf9=Lha6s~mgLMI&_TQS
zcx9C@5!^i`&h~z$0PgMx_54YC;P*<|w%{THU!eI%pA1S^ACNAxTw(;)sfo0kK?)FX
z!2Zqd&{tXHm+e;zvw+Wuui00B$iwZpMD8zT)DS!(FTIAc9-dblD5x$E94}*!32o9q
z^qDWZWOQu6bv-D?`i&eY>5a!pAL?@D$xW|fcXrsj8T*o4Ob*ukeG^88j)2^!AHF9K
z^+$0$#E|q}7S!T15`$tH;QhWy6m2XQXjo8}C>hE^3soq|+kpu>BI!t^lRUsa_og}F
zHvt}25WJk6Sb!qWSZ_y`4_5xFzT<sEfD1wBOQt4PxV;tc@2e^RGmjq9%=#0+%C+i(
z{tgaGk==3cD}wNuj=$!HEdgxudu<wx*ungqpK^(#Fhp4GdBocgU~Qp0nfU_;c=pVm
z%6=sR!xs{Gg98X~d}8{ZABhW^0_-F+{))o;MInxrA_C~8f9{a|!42bMS?`ow#KAhN
z&X$!!7Jj8$XG<sXg4K9~=ebD<m<gLm4tOC8<)^6W_HOb6=Vp>Svp*g-%e*_qt>hrW
z=c9D-?V})x$qhSj9CDUjWx#a<c@VCulgUXF0-Nmp`0Z*Lkh|Ox(C4NAftIG~uYL;y
zU&!*rj)yF0HSPVn;!1?DOoim@yrNK$N@j?0$wRG5{c~ka5}-eG`97M9!J_R+hP)C5
z@Kb^26_O%s`&&&#KM{v}hA+3t4|TeUCr9dtnG#%73$2vwmjG6V=OghZBp~DSy*iel
z3|jLq(kqYR;lKa<40Ojx@JvhjiO*jZu%)O-wy~FjX<T|PcF38!(U(<cBGlj#aZ-`}
zkQ*6m&E3*d6d|7MPN%-K2E0P-HmM6_AjWt7NK3vVL|Tp+OHOG*!kPW_w*>?!PNE5q
zickdlJ?ij=_u9~qsp&5fD+@B-MO+O0ia_CQ_FT$O7w!npkq;`%!Hq6Gy$~M~1RIA$
z9bz?9|0_#a&69%@4x^*KaYT46Rb?141<*@(!tr2C4sf{ghKvq*ICsG|nB%1$%!I#5
ze9|umiS34DLNc<zU}bOOsG|>vLpNG*Uk*&9GbSQ5q@g_AM>4reAEJj?@pQX~{i`r&
zGr=bb`@8i0Wn2azIKg2<BPR<3g~K=c7DR#hWF4XYv;o8ythU}2CqPukkj3i+A?Te4
z&yP+9z!A0Db!lE2RQ<HG|9i#@MK7dY;4KZH?aX%0NQ@K=6r_#RF>ru-G;)(o)&S0K
zdMW**!Nc@MQ_P+aGYqv!cJVFf!%Xs8b=wUI;2HQdYUe@?uf~+yWRvwFyV+#@U#A#2
zMi0M>p8AKJHS|Brq@oWShVKiFiK1W;_G4s>W*Hf}!@|Yfqz9KX{5Q@g3d8565y#k#
z9wcX8rDF8F9^9XKx-?2B2oFd0k5%I9(Pa8#ws*$>E+ur{6J_8Bb%*ZW|C&e9eOX@$
zQxAX$85NH{RUX*hQ0=u!m_yke78OPo5J)L#9$`-4gg31Zif3Lgqr2s$`%2UZSSA^t
zXcu6I{-0~U^|gOc>5ZQ`;^Ml1mnfaPJje<uW4vm9-&ave#s6lLPwGH`y@8Z(Dicgq
znEG4Dt)aytr-b+XwGVYM&C_t?2v|<?lJ8Nkp^smjPVmmt0wbmIW!)$m@U&gJjSpEx
zCGOPx?wimAmg4q3tw>5Bzhy_E{P7Q3!q-^1C9Vl?JKAK<^pb%B`LFGf(iL<hj~E=`
zsR6t!st(#qyNL2e!Z78DW%OC|pXXwg>cF>aJxHqAMs6BjeHP8Qh^n>ajoxKa2cabq
z<!dY(h_)BixAe|=6rY;<(aKc~!k$E(lkfS1NLr?=biJ8H`6m8Yoc^K;^3y^3VKhrf
zHt<p&NuNeNf>H-X@Tx$kuT`xrFo)a=O5SrQo<yn7O6ey*RDl|M-)_F%NkpsRdJNU(
zIC@0Tg*jkH85DV5+&nEjhRFBJG7Y<op$f^GB@f({!TSsUfluck!sKG<e3WVw<^L-=
zSTL*vnT?`XMs<3TeVYwcm#kmtEAy0BCFhmE&0Ieg+&Yny7xL{dJR3x7$DLPicPYYz
zm<}hIXEUPiBZ@MP4WN9NQigw-D}wxB6xu3Sk7T^8H*N^)N4=<xMd}W@iSCSmj(11}
zlIQiMF~qwM{h95aPj5?tnLFR!`lh}|yj^|-NxbhxRmK(!o=*}X&B}yZF(&~Deaj>@
zuF#88Y>XXux^W2nfuFcFpC_PQv?9~W+dU`)H;pSoPJ{@Jg==B|y+zsVH5Yg(dQmfL
z$=~`?3K07^xA1dHG5ULJwnp$&FM9L1d)}mlJQR=HueF<1qIj8a^gf-vsHUIn6Ro>)
z5Ndx)h`}5~vz5bJmY(*ZBC><y!k=Y<HI5@_$EqF`QoC*^{-hs0;rZD8`ZfXlmgrio
zPc@)3LETU7S_jbbJNVm_ngm$A?5urPy$R)-5?RbN7(`tKe0nOwWMJ$ob-^&96?J;;
z{22W^gtiIhRQk0_gYsGx8wKe*+UWjg<jkL8R60F!2zOK(+BKc`!=*b>H+(b0NYW@e
zsIBDV=OYENr0+}??OiDMyifV-fid)d00030{}h>bIMx3f#;xqlvB$CZI*vWgZI99r
zA`PohMqe2bNhK*FR1_5{DkTk6bUsCq3Q478WJH-MLdNg>{{39f^?9!Mc<$GIU+=4Z
zEY64DsG+T3`L=yVCw*1VUp&KZkX~ln+$E)@hWG1qtL}t+q?2e-QI|gr(KR)@BDGGd
zVqDXUn<KP~zC*4<DWu>#{oNR|=fznS1Qu_c`J3~F{zsBy*WZj$dYwrqo0q=|($1JR
z#*BZZTUO^@pRWE%FW*%d?eb0;cDEl5cOLAc-^_oReO6|IzVCj2_-+SfgqtgHOe=k(
zpLY5C_I<+?UH)e9+?9GIxcrm8{P)%XUGjnO&YM2J=!;vJyQa;QP_O>>%c{>1{YF?}
zfz!eaz533Sz58QD3^)&7+)epT9}B9wG12&kPH}u)^3qxnFXQL-&zX(VgREP&+drG5
zH)^jO^=wkWU$Yd}*_fYnm67)e2Y=7gX^$Pg@OdcU(4`-HDdXexwF0+Py#4>thay-a
zIflvDq|owP^6C`5MtF0aozMzhMfca;pae3k4o?01w(%Fe@6iZJCzXi^@pS*`Axg%p
z?fpe;^E31)iz}tpnk+<*mf?iXZh7$1L*A`@{fD0W(f*mi5-YJZWUjVwTMl6j%gV>v
z=IFZQ%J>hfYY5ioqkUhQ<giAMFX|uH0{t9!`i2;DPU3OsMXQ0GvbeL)m@o72KYCE%
zme6li+{9B`6I-u0GI*roVSC4Hg-)S5=Ej8a5g{*k9q4kBLA0A>pw%TNVq0g8XqKrU
zQKxdgKCDw3^?o1S{G3^ceOF>SD+Yy#VfC&j+0oKCko3eWRi2GFawH}1!V?j~r`qtL
zr<OFz%_mYl)Y*w|y9O$*G?IvzqZeG0m!xp-PHowjU{2ylgLJSps|3L@!#h+qE(N9X
zhO`rd+yu+Shhp(WDI$LFL5ID}(vW@R`&Orzk7#(WBim&tOIR996`i+{hPAR{OYCMr
z;tWf(|1ohgVXjit7xYjX>nXnEv&%w6p7|!FAGHdEOz=c()ovL`-Eg{2=@21~b7_~q
zPgWvoyLbMz@t1|R=)3)Cog|{*y!WHva24X$+u;+d_vG+c+F9uehXhgG(2+ZwqDJ)R
z#e5MnCc~9w%u**pia3-eblAR5gQ#5D%Jp)C0(Ree8e+pOOLVc16yKB7CY(LFH)~WW
z!l#6tzW7z1=p3F4n9tKChDkbG=65M0V&eKN*M0?pURwCPKS!TvPH=9iPEf^{;s>X1
z3n>xH`)^Wy_8AZ_e`YT#EUBZLONHQQRwkUH+XPiK3<;xvwIqi*Ev&zOa3?88mEhwm
z-4Y#0C9WLXn<T$q4?j&dHops1Cz>69w2dA%B7S^#st>6%K%dAy%YH{qBC7kE>hL~e
zqDOmj_7*D@;|EW2ZjjR^MDLt>UQIS3ZrarEWIkmK)&B}7P7UY~+qa~-Hz%49SIT~0
zNO3lUy13k>(xZCBQJ#>(!%-&0i9jjV_ga>4e5U+qHcp?ocE)7iqZwo3B-@nLKUo?&
z%nnDVaT^fN#S%tR{umKmR*A|A%r;ofC=+<S&w#i*WE5BuM<v?SgkS4!vqi?N@Z6@W
z21NSV@-E783PIjlB`}<2hoZ^$4POcki0=c=hF7Wjgvg;y_CGW2L7#eN%j#=DeDoWh
zen-<HJl-3aJX!02^Cp%acY5^+x6^7pq)rv$&!@y=JdF;>tYh9Yr=?HaB}7xR_L7Ox
zXNytRe;rW&pNL69t}bEl&EQj5x)^aXk)1N|(*f1L>l0g3w29~8Str76xrvH>tBZc+
z4tVc-bkl&bCQ(8bt*}h`P1lYy&R%EXfEOl32YH&*2-lf0_v(>;+R>=Fyt|e52#6hR
zk9JTYj+OV$7TT}Uw8QeM>jdo~_&mv+y+M(fJo+ti@CqlMeoJK;54OYaDUG|0Ze)V=
z)BV=7H~|#*e`G4FvqjO(sbZ6F(!>q*NcI>DVU%6?k?0_53sI_y$K-BtA}28F-=}#I
zlx^(DUl(PA>5?5!Wlcng$Wy`3UrCeDUKuF-stYKdoxf{Q$xkeFC(8&llc1^I<aNgx
znE98wQSvMYaZ;l7%TXCI5Ct(E-p6QI{33nFNsgI_?EL05LlHyT?GJI|>DFj^8f)L1
zK1aVtjY;++i($#6ZQJA(E3AqhdeX==N{`iFcvLV;g4o#P{+T9A?As`wB(%Aaez=$4
z<Sm_q%iqtEl9nwX<8%8#7x9Uv-m~ykE1iUbldQ{%us~Fv&QEorF`8abUF-oL5;B6S
z!!MpTN6XyqQ$pT<Xq3;w;i<+X44w%bY92Ae?w6K1sd0<6ZAz|Vmy}7ML}c7~;%bI2
zxhUm#E335ebwVcwR7q$wy4!WP+7!NyUdv8LSdjhk{GsDC5(EZflm)a*v8g7bXttFN
zpXt2K!uv=#^t?nhu*?KdYM|Rpv7^CR*X{Hp68P^W+4^dk;6%kElJPhv{!=DYN*McQ
zd^&HUq1qVkNsR|3Te*>-Tb=QsKn%~C<)V+d7-P%pnU1(ZUaWMp4=m}6qyO%ZN8z9m
zL_z~RwRiACcjxUlX9mPElpJQPkZJ_^sh+HAUO`M&db&s5k-(L7gFRNdMkvZIiXHnQ
zh+W;=kDttwM7#W#pSpci)bI3_wtOXoPfFpA5AvkoE1gyEm`_Dg)VI`$3Sp=xFM2(=
zBaJO*C>KY4s4!8Q$zVS(0!ueT5_LcZiTh<5PAXHeE+X}zd%7rgw72%u=*nSwCHlj|
zc|&l|Yd;Q5CBfr~nt4vHJg#RvKF#*Y5HU4dGtXp*f#yFp^&^c8HGTtACBhJYIDg%l
zzbuZnyJuWwHYuRF=0id214E4O?!O;PNMOCkp6nCKiWqUxp>#YnM3J||Na>^`!k7A;
zNz6((>$fLzO`{<!zwi9pt|^VC-rx6phLsQ;y-?`XZ-|_C*K2-9%b@mXV|7-WGFlb+
zC<#1Nn1u-oU4J8s?r(p(Q|nc5ndO33ydxEcQ~N?i4dmfubC{A-p^8)Kp$bAdR0xW{
zj61NAjO=@Mk!b~LNHdT6I5SCwkmqb2g--#suOho{A6ADz<+5_=b|ZW}dSmv;TLoz7
z4$nQ?t^xC$G2e(@Bebmhtv8URh?qSg&i}MD;o{;D>H42BDu&v8qurG-`X<Ls_PZu7
zI21R&CYiwg<Don3BFd;^zpHWfxE5w&0{XdMo8Ug)R0uKF)6lST^csgYgkJPKJCkLK
z1>;jc=tosB^lqJ3aiBIP#p7t}{LS!IQfSYjjw%%FCSFp{YC~Yyjg)L<4ws0i?FU;_
zF+Wo*_vpMfj?3+iZ6;fQWpK-m5l=Oo>G94y9juKn7JApTIV`dDNWlAXh97j0E|HFA
z(MIL{ZfE^*OAKZ2F%QvZtUo>3yE9k|Y_3;7GrhKgsY1HfssGfGHaK0dl&^_u`~8(S
zE?Hx3b7?%=1$9KwrV@<`G?1YgVc{M?!-b(6mlaFZG4I{;>tVP$1X-Q<2~OZjlk4=%
zX>~k)>h2#Qs|Nc%J7{?TLK_luJ+`VtX#V;AJ9kxJ?Z>t}d<K|IP&&uNp$?bUNY_ez
zWxUbo4IL$b;m%jB$IhuCD5+D8t4tBQ+P%l__5(@AMq(5mHHdEtsMV5HfGKacfZZ>k
zN$^6-YOpFuz32PtOyu!(pFpk5Z=lp&G+-B_-{hh7@9ulbfIp@sL}>)@=5~uQ9970z
zHa;>_u_QE~9ZSq;1@cx7e%-}5$C08A^DrfG#9T_!Yq$xth;t||87ZMDd&!}GP!xZX
z@|`y%0pZdUQ=OX?(eJ;`vS(Nr%-Pzfo;m@UyRvPv_bFh<%B5*-Eg^{B?Dx*$0d%fe
zEgr}sgA#OPch4>XIPz;b1m)2XEbF~8#_*5c$)X%_v%Ii~8#I5xMZ;dw`f|3XvPj6Z
zESy~CM#=kY5l7;!A(+s0(Mw$hxPGHQE|v@FGPA3x!&Z2Blxw%z4JkA?cy{jf<izoc
zyG~&ntnfWoLT%Po5{(~oUiW8n;MpN-tCO{sAa4}gk^Wa4xuP!D$?_cN&{%mtt6+&U
z{yL5P&0?shJEyG9vBRv_Nh2%60!_m<$J8H^P)XhKNlcIf55jG4b1j%7Na%b57hM!_
zNiy|60yuC;tmW~aU~@bPvOaQhSOj0Hho|O7IZ!vEv!UU$8DtM1QlY7fVE&~GslJdC
zffsFwj`e0Z61d&@#BpI{JxKlYAf5}G|EWjrYcfSWaXP<rRR|*-`LFF0x$)z^|H)oE
zQ!vL$KYW@agx93)=9R@fICy+@X-lICP71b3FIWrV?~2N`)e&9<PaV1~;$i}sw7R7@
zRv|?9itL?r<Hu^PvYu0iF@_!b<wE-eQ5$;p>tu%jD!%;3uHk2l%U6gs+#Q18kF~Se
z^F$Ekp8JbtW{eOq8gQcGiy(f*3m#%A5(4+4E7QP9BmARia6FzDMCN8b`jykdP-%S@
zW1((@PJ43bL&iP0w(tDzx7i|~oOWbg`<jXyFN#?#_X}a>z&=C0Qc(!$B#!KgrlP7K
zK6y=>5U8)WK1_K<Lhi_R;c+D@B#gZV2CRiqTTI=4idh`pKA($Rz8In_F}|ekxiDsB
z=06F$NkBHu*J1uVLvMWxMzXew;0Wc9&-)5Vc-4%4IK15up|hX9>|qzh>l+zykqXlA
zzjy6qqLv|=hsGC!Uy6dWC0{AvmJDJsVSA3n5T5n!KIIok=o60KGvO+Svy0uarv@pg
z9$dY&?x+~_%tY;2naJp84tb&7M!{$Q<5gjY#nEfJ=b$_zU!~qn9^3wsg3bz`R=ykw
z++g)E^z2l?oX*zoqAe6W+<bpVtX2{Oy<KJfZxrE>bo9@bZVJXc-iO)ENP$D{_Qor3
zm5_9bEM@+Wf<<1p6cNZ^V33x|`au~RzVOjMXc{74%SG+U6<J)MFJ;X4t3YN~_;35Y
zhUmSp$SNQrkDKi30^O4g9c5}7I#+MV=o7?T>q>^fg1=MHKQ+AJGnaU-NQFnvY4L7h
z1?U`W8otEB;6mnzbnZne)E5qqWcDi{G<$^m+o}fa<Tx&zXPhr3dcP>?o+6ATR@~Yq
zG*RUuA<W)lgy%agetM)TffgAn9QINRmTwi8OOlPD)Mpa&W{Wa33IBNGquOXXo7Y_G
zY=YQKqrp5?6<9fKdf_XpgOY~wkNHZbI1~ThrQMS%cz2;>a4Ay<hrC>q*72J`y!`3W
zYqwNkdEtF`TB{BuW_!x&*O=pqR`R--t!mI8=T%hvtb;-lo0K@a1!i)DYCq1Y;ab4u
z5ZN0#Xi8|7tK+tWpRA$Q+eCGoiE?HQx6pyIoNLl<ek;`evfXoPR2?=!Ec5(X+PGVw
z_iPJ~HO}W$4VD^fpkR}c=hkal7`i66weX)c4Dx>u(1J9e@~KNj<%lLepIAfQ_L+vF
zd`DyZNDZVOv+AnRVsIomBq@Ib!>@+^%}DXmz)1h}Li$ZLG%SdiS(O5meiyuw)PO~B
zcK>TmRd{FC>vxO-vdNs=<{znJ&i2-==1t1rTob6QEn|armezgKrs|;I`es2nqX@@Z
zy_Q#2Hu!kgyf&HP10GGyckJyTLp#0qY`dEcc3Sl<oA;?AUx56wl_m$u>tw&BbvC$L
ze#_d8Ulm<jsROQSq!F*)J9^C026O{jlZ}=NSk${%pR-Cpt6$t;S=I($7v=81HCIMK
z;^B_>4kX-QKDnsR;Er1SxO|a~63+BVvv2MY26Zu3iR~%CJZco6X0Hf4*VIor6@q99
zu)gDU7!2Mkt;=v!K)s$$(90WqxV}G_XUYPIm1f>{a2**9qfHyu<#3~6X3XZ}5DjHZ
z8RjmGyxUHh>Hoyd37y|(*GIb2AblzMSWvGFYW!|);pbw9u6Frz$y?Uou0O(+%b4?T
z)?EDL6gIS9D*x8YX$}1i!|sa7lDMlpTwb!96`A$6%ptq1kj1}?^T2{Q^x5P?EpM}6
zWn{fA*K<qUE4ak2og;<~^t-PWU04vE>-6cZyd_u_W7nv-l3<!$Tk@YC3qJ2ZlXNWE
z0^749KR#3tg?E{~slOKs#uv=(UVk%(FE#eXBMA{${HWX*@Q?+~H`_#{oXm0jy|#3v
zt}yhZYWAr*up-o}q5XBG8Ti~cD6|C#p~s(jzF?IVhK>~zDl%r6{$1sz^gs|@7x>CM
z``F;|!1KnA3{x~g>+yL7hOge+X2LeG2J&+~{3T4LSj_Z}7xfT8eYo}g&8!?SV0!$E
z6mNp=j&`2Pe12HHr(Jtz!wIGib%~x?W2m=SoNnRg$GwCbd%X&|K)<BgC>dvr#kWIG
zJs$9ZDZ%&LUSS^OPi%NGwPb_~UN*XW()f@tXVyk7<;AAGPfd=e8R3nfXUNXueE2Y@
zmblfOAN(J4`MAW5u-EPQ+NMfA5Tlu#|M&&5zC!%q&0ADBw+79}vhc&l(RG5xCIllP
zeeY5SDq?w0K1fUAhpdLyOfQ!(>K1ZS&4vwe;_e{F7P0_F`xT#kCW~Os#KN!Uq#?>&
z);OpB6u`EZDf^vWMM0Sqc8xPO#K*S%-V5P^P_6mEw<(Q;o`G{~`$s95>6tsZeNhmy
z4o<FepT)58>E_mu5(?sU3Iy{n2qC!iy4?pzK*?GwEI*Kf7Z=!>f2<eA{makN(&>`;
z+b`b2r9)x(E<3HO;v%>`Rl}?2C5?&UhY?|`2B-?tII21;g0LsNiRo)(p%##xc)Z&H
z)t*nhKaYswcZ8*lM5`Q3ew6AMKR3YWt6yaDGzsIMM|Z7mA>-@Hrv9i0jC!ZRtj+uk
zzKBHGM0+Zrs=qYG?Y;qayIas7*h)Zm;wS5$9g1j`zIl6!Zh#))=h8bfB@rPZ+Frh2
z33r-<BrY)e3a!1@Z89l^;T@WXoO6`n@H0i~3I_#V{iJtaf@DCVoXA?PRl!2yO1QrR
z<NLb3r;bg_Voi+C{Q6;4aNR42#yJXDj*+Jpvg8>&4Cdh!RY#!v?;CjxPMzNv`lb2`
zgMV>3Ns2ZaSX`RQ%#Srh&5JP)N{Rwj^-8QC25Vw|QRjp^ClzCBi#gv0E8<V+MBP}5
z7OFm`oj*`Th0DeX;r)!<Atl7~n=4%#hO(|28={O58?vJ|&srH2ruUjhVsv2iyVl~E
zt1(swmbA$lDv&t$W3K{D7wrnUbDU--IDK9=I)$NcX0IMMdiCg{?6s`agoP<2Yg(di
z{#3>L!nvyRPI~a=@gKlOGaO6j(^Yw-hGL~#SNmi1ux<4CGE0;>K17978pNn$M8lYK
zoxdL3dkrp;3oS6Z?xEB)L$?ddmR~(!)5ADjfSlQEiJf`3$mdEl5K8@7vw6EN*t3f|
zqo=K~sfWq_Hn%1!CC*sc?bX4nJsVt4@zU_|<=O(z^_nPg@-BaGpbh1>XOGl!14rD?
z%BJnn#98M#)1n$pu!S+ti5vlHayhzPw`(%y{avd)y9Tn!^Iz?M05p+4?O_#7M1Ahm
z{jH&ft6R|9#o$7H+m8EVjT-16UCBJ9uY$_t{9h`EY|wa)`JJ7m1`fzwCqGhGf<#11
z(9Rn+_-`xi09Teern(2HGh_v%(`Mw((QWWMKUvuSnHm=V{Tq^ZlY?rBo$0k_Hn837
z*J#$Iip%CFv^7pjfrqVXg1^cJ7xl9~uzyy8nWjRtACEW!$E$nWvTU%y@|#cGD`gOV
z2S$Z@MZn{CKt#{a28HX*k|>o*kW1TDmBKBAnp<%fvXyP%#v0>Z#K@;}!<t18)cK$!
z?aI2L4`7RkR=pjmfXP6gwnuZEV6AMFxRe7p=oBV3Z6;$bC!e(Yz#6>bk&TT5P;l!<
z*^Xp6?7S#sol(L9mErzi@&_7r4@sLYg~>psLd0G$m<hQqQpy#|G$g7j+*%hS1>HC7
z)MH`Gv;cF#%|riL<36$SVDX{^gjr_{$5$6=N9~8BFFj>&#JgH2Z%_>14>D!l4_Tmn
zy;A?#j@Js~TwN}=-AFLLWph<DeV!(#T^T><Yl)3ikqzwKBJlXt_I1o*o;KpM!`tqT
z1vnE2QFTff_xkc?mDA>FNoKh|)2tRy%MPqJ+9`y6LRC^DCJQvH1c|?Ex0_@AO2}Z9
zhaid;e8qDd7inUj11ioxHpBP!I@75S{7|0QQ+%=XAMM<MDV-H*Gn`5&=Ur#RhfeOh
zbZ^IH+WGd`vI{AuNLbs$d}x#hOTVPI*D0>j7OeJdIy7biMgI}msAg`Qh`!!_qJRlv
zS6oXU_?R%b8CEUb%Z0d#u}!{@m=Ux^FwOCeF|JGWCY@5{!X9Zi>+mTSg!h--va~bC
zPIZ&5%$GS4@w^LU3pVWWHQ84D)CeQ-wk-?xoH(%MZ2PgoHE257Ka^r^gtzk1IVNJ9
z=zbw0Xe-Kr@_|hH)N?A5b#;7N1Ud1fy8PAQtDJ~xU%JG+jtZp$(o11OPW0EVb^g4T
z8&bX3BRfAELh$MFlE#Ca7)%+zV<*6i1JS&G8DWM9Soj$*@`Dpki;w$oPxE10{PMCV
zn<4x}g!X<&<U-ZFz_a>k0etGp*dJU>LHbu_S92;iLYHH&i8Ah|qOa^YvpoerpG=Ah
z3i3ei)38n{gXgP<<<$3&8^Gd*>Ys~(yhvd3k1q-q0em*wi(h2ucDQ$cs4*X!%4(7d
zt3~lk|76Y9jRuf^9Te|$gdat__CK_d6~o6I^|U%(14#9lwph&yKu>dwPoqd2_v80h
zwzuo!+y?1x`({B%-s3ImHIYQ1OJ<F2kv>}AsBL|9QwT{x2K(C?dOxnAAJ7%04?k(H
zs;LrT*ljU-W!WHuvc<H3Xm@>FwHdv0v`Pe%`pl1{tL2ceIc`eAN+0)ITY5Hr5@po;
zzhe#}<BT?S<%gj@Y^+_%#7SZhI(_->(L@D&i>&#mYpRcb5y`X3d&SW#vgf&DsUi+W
zZqIjLtB<6HAKjeY60qsZWX}G=@QL@el?Eg9@$y%}hd+T*h#U)-kdjkD-~7h=nWg$T
zYW|8!VV42<b4258m@3+b-?~doGX8H}mqL3c3(jq+yMi0l5cG>vZi^dZKjn2AdGh2j
zF!IN;fvf?c{uXnYMg!2Z`A&vDC4<zP{?#=}6G3H%d=)$>C{$X}O{`OZf^^Vvfle(X
z-miH5V};=d9Nw};K3Bx&xGxpGj6CxE<;z`#FAU*dago%|$YY%)zGgIcT_n6abNWL$
z6}h>e*jl=kK{B(ANekA4g&5DFsB$BGoecYTU{nPWdLeV^8u~EQZF}b3U<|>l!3}9s
zstDn|7yAB~KD08Yr>y^)AS22rbaYG&Wv8b+7wP(#jz0G=31+BbQ!D=WNgd+OoBQv4
z&`0E<QqP$JbFfX`i+yxk0|c{}?Cxj!s6BD0Xlcm;_vN#E#&>JNF}(U@N3uS4rR`2H
z_P0Vk@9_GhWlaQ9H@SEV=;Qfl!sV`~)}Ru6#&7p(VawUNyifhQD7fq{e`F2tcU5qW
z=xr@9v6^(BS*wGW-!9&AyaWjUZQNd0uZ8uG6n2b+XraHPB)~<*1|BtC1$QrMp-0W&
z!>pqQO8wTXd40|X;_OW<S&mw8elfI;>8~p6wn=)jPcw4L_m%W|x+bg+$u%lxD5FLo
z!oW|@7BZeMF8eU}m|0aQJuIn+T5~e(fQKz|RM4}Ak)zHn=Wf}zOCI?6cS^#~7Kv@e
za~IXr(Y!U>uI#N8Cav~I@G$CE4lqW5T@4R++|VdFE{4d%m)*K3w#YS~9(&ZLf~rB;
zl!U9om}L6)E_u}kcB#jia?_RJ>C(K0>c<Z%i;5Dp-UeeSijy=8C0utpm68|83A^}v
z?y`|K_|n7CC^M#jZ3(3^p&MD@;}`o*OTq?uJ+6OWT_U5vOp`0je1+B}@bmuSW8kSq
z=Mb4OSIS$a#=@fi(k9iF&J#Ys;$|D4JO6*rJi=)lpf*E$JV$)VAE%*|x#Er6yd(sI
ztz2Gh7^mfxh1HN4Ji1cuRJiYrI7A$e#fRs9r(LIOeN@<HjTJS`6`>{)n608&Wf}))
zElfdW?&qxFz?XJ<^oIx>M80`h<n+_txJ*81d~b=E#~IldjD$fN^ZFnV)<;9@t~Mi*
zB|g2)+xY8-AY8U4sL%EH(JU<vtH}6T;HAjPB;gExY-MRwKFsrtcD}x$=+QNE82sTa
zT4d<k@8z1`m7fP_j(=+cwPwu_vYoYAvX2WXzqRt{M#Hq$4b!tRE@l{+OS3&N!vVhS
zE9{NTqqNbWDgDzWrjQ6DAL(&qN4mf2`asn&T2r6pz)nVfVV~t{{r8CtaVGLNSaT+6
z6sf;^Is#1aKL7v#|Njh^cRbZ?7>CJ>>|^h}v(7oT^F<+L7NOoq8AVwsgf>!%hSESu
zg{GB=->)*tsE`$sQ6XeRDdY9;^LhTbpK)LJ^`&d^c3rr|g5=v`v&>Rcj9YanqYZEA
zn9MjHpPaP{?fOG6nK@?|1IG4S4QO=8`!l~|f5!|{z4)<Au31LdpSbp^J2a>qi9K;p
zof)ySTr!IazZvQAHkW3^Xb{=3X8Oh>CPev~I3&5uGXhVsZB$F6A}^(V<5e#voM+OV
zBd`2pOm(c!Ji$W+HKj=Cs|FKP#zmtA{wy-i>vZ`po-=^xt-1hjX(pT$I{dlKgb5k-
zh2PQy4RAomwaiMF2|ati@*5^IgZ<^3^;XyQacfR;x0){#ROwB-0>)Os>R4qPMNJ=H
zv<}~3D`bMZ1u6Dz7b|Y<?|v-&Tn{_rKK81~G9zo9mRi^h8zg@gdvA5rgPg-%x?vtO
z?9w%kGiP!@L;x>lzU#ur+c-hpc@+js?_7A}zZ$D9I8Cid(8a#;ti}x#7HspIKeyI}
z8#?p=SwN=0N5nfdT`UAzT+y9lfs#`)YqJjzerN^F_GRl}Fhx7@)f_9FK8EWY%ix38
zp{JJv|E|TQ^LbyiMcL81UA`cDnI8?@hA}-m)*^H27t62*2RO*|4RRX=Q50+8#PVJn
z+c@&G@+&#fF5At$_o)y%LipPoH)`XbQN3rVEf=C~Cc{gq!myOywsvc~78>p^r-%OG
zMh_vieO-qLSU;Z|pAFH%MXS7V@m3zJ`w(p7cwG!PjQ%j2NNB<5ziUNYpZK7rdo<?X
zaS3d`Fyi#LT@%M$^P*Td1yB{o{Ci`n6zbwO_HDnfiB9kOeY2*5czf<^%VM<*P72yO
zd`Z;=x#x`Ureq;}Hp|{fOOt~-%Xb#Pi<-E!bSWqF7X{U(j}AWkD36L?){(R#O>mW^
ziWD9e!TAZnsP9^e=s&;DY|SrCFkiU`s=OE;bg9;D&rm{bNpPx&mlnkDaxQ=TDvpp+
zsgZUu75LrZ8JZl?!YY~16rOrXgf_H)w#ZY(zDJ)1uHDy0_AvFs+a_r!%!W?;*{Wmd
ztp7Ui>uWLiSjUAiDGR4ymiuofG!R(OU|mqBgZ<lOtGh(yvCu<0x@Tx%a4_~vV1_RG
z`YJ+hty4hH(o43rjJ2q#I1tboss}F4DSzi!MMS#Lr()Z6(EBlCQ9f87yC)f%V--r6
z=bUsX%F~5!+T$Ik&Ke*wWc!xW%gSKNAAHTTMGxxf{+HLbP?5VT)Q)bY3fp30@Zx|T
zS`7UZ+f3=GVHO;ij#I<kEy~;39P|-?E>eG6ts!!RVzyQksAEm<`WS&T`Z$x3X&Mu3
zj6SaGg%4h9AiQHo#P3V`aKN?==T%G*Y4)ehwo(%@8iK8MyY=B@J!pP?)C~6t<yCFx
zwP5pf(6!>19&R}s=be6Ffn_Ey*01{77}A>iG`3C;HYqJhyLEtH9S>E%XKEwZ`{2P@
zcU_od)4pAu2Ob~l>#c6mMoG(-Up70}Vv@bWMd*<wTpSzDhE!-H=~O*aTB#=7QywG@
z*;wK0p5Np~e{E!l-!oFIRYPUJ;#eYKg@E|Wc7gA;z&^$m^{+q~r|ynt*$P`DYQLfR
zp}(4NWEnm|Kc#@va*e+OY^~8S@1=5jTmx#~{CzmPWe`et3#M$fMqhA1%B3gjcqb?t
z`Fmara}i@+!YljrG6?3LO=?&@R@Xo~Cj|9{yD~nK*4Wy&t--cY1vHV|0P`I@_;@_L
z^Gc@`dSa3?>Wq|eV^Z$;zaCat+}y!>>4X(t4HR5#xUPt}ytHSsjDL)ezGKb{a#nbn
zxt0I(qCD0}NZ#EMHNp5Z{`?+ui6vBe9pC!+%i-6-QkGi^?Tn0+ylpgVOEgz9RkoK(
zV_oj~7uMM%(KhoUI_4c<y0Cos%xekoZMM=@5AGv=q!>Nn@&wM7x2pY|7e$MPa?K{W
zVIpN~cQW5w1}uZWlr-!RhL-Y^#o^I$!XtBORAtBl?0Y9VCw~dTG&1DzkvEgXdn-5b
z7FG)|_guVus*)e#es{lRl2gRGuE#DvG|geK^NdwtC=aM#DOq&hX+lYV?Z;1^W{8X>
zm$$!JjX$eTT*~}3MNBLFSNS}}6uVdqH#5bvW5!U>H{5QDcvi1yx3As=r5$C<2hOq}
zvhJq5{DDbAXv4IA#TpZQ3OxR_Yn%y1kNjGVMkWZYzyAMuxEX`+6g90iTx6UfQa34-
zjS(Fqo^Pjfj4+|R{*<BIJY)HS3dJ~VlsKknBWm==5IZDppU_B}WyJoC9v)F2CcJ-W
zg><<X;;v|Cxx}t%#_31}UbgA4gtm2g#<?eSR3Eu<Si$}$BV1lOs^Q}xG5;{4Uw}e~
zxn}=#+Nn{-xnIw!I=cD^c?OHNMl1~(?K^KI@A}3db2;x0v3((G>nn3sSb{47R~}b<
z7+{>`Nn{-^?IDEs?xd{uq@p-*uMfweK8DTKw&cRnE`rL<Wj)qp0Q&<uu5GHH7~_;=
zJ9n-Q;?_buEyTtE`Swo1Dp%SV+;vJGjK?2|<UG?e`LFb`b2ib;zMz@$-88kQ;8qLq
zId1-YoRvPly{G(ncde1Z8yK-(uJ;4c@zOA&p+*l)vP?e{TWT4l?IA8Fp1&g^`!a(M
zZPG)l+u2mgr<V+~Rbp{8!$u-IC8sr@T^Btf@i)ztDj4V228?H_*Av>i#N|%z(uG<b
zOOSt65#!zuBl%N_Z-|Mgt%7^M>%h3AV~1mIKBI)A+|<Xej=1{y%#$}fE1b-H@a#xW
zCWF2A{OkDLwZyFPwlnj_Yw?$>Z6d%Vf$_VxUr(y7h8RtI@w_!i8#v!@kzF56{PuT$
zy6;jAv0t0}olcGxwtL6KI9sI?iDI-5_iok@Hi1`*zxQc^wr-F5CC}SL1rPtO<*^!q
zh$+ixm)C?#Nn3$GPaa{On78}hky^qc<#t<VpazalXzn}g`<RFw;k9boTu1bpe(7l_
zR)=vT$Ff~zA@OUOspL}N8{*{`FKP;#I*8H0SdQ`%qBHCoKc(s|u@vYLxa_5dt7_@B
zTT04^S8A^dUECUojJcm|OeLyNuJrrK@}h#6nK-Xvt=mLIRTrd(38^BzSlC|WQx!4C
ze$M}$%X?yzi$Ny+pbCOM4gJpLc}ciMx;K9N{DD|JGM}N}tBi@I_OsqKuZY)q;dRMo
zErix02aCO(GTN2rANFQc6ZTIu?h)0k1j}=2SKnt!2r4Y<`;b~oSbr4X_cx}E$o7d~
z_tj7WHRphv@RK)0;%qd5T^&TI_SMI_w-nL%)!edSv7TTJpik%@?;=v#7ygz?D&oc+
z%d!1On~23%JLW}uyNQMRA2pvd6j1u;)Uhbp4@8+$P}Ps<&xEpeAN8W70+t6;ssgf`
zi2y(8if50%5Sqn4&1AMb=0D@LsBJ5uQy$`(X+J>BgbqJ;Q<ulTo|l0OqHRR;KDN{2
z0z<^n{-i9+5;<%j2DZ(Mb`VET#D@fPeIrV`@Aw^DCkNKW!M9<Xx`?BTN#PO3!-V6m
z@BAMg%EGGjl(%O^H^Cds)%)+xDB<UIWUEA%45Ej(w%7!HCJvv9^MAT|oLF+AauQrJ
zIBH@fTK)73(d2e);JC^pvH$wfhB7N@d|4ZRLCSrASoeI~IHz%n2n==n!F5au{c~zf
z+Nwi@qs^C~PuVlXMtAqsuWKan<j17vy!tm{pUR&I=lipS!@6kmfBcg8k9uh{|L$SJ
zO+4J<_3&?kDSCHtkFNyeUrki!bdM4tY<>^Z1OE~=z5B;*SBOLXu)ve_E8|4}agL?0
zYZr-cYmb&>Ns8kS=aKJkoF<7feHF_Fc_vbxf2}-Dh#^a!HEqq(6!GJ<R$WO4Gnwe&
zc1>_b6q}@v<-2sx5C?wjf5=nCLdJSu40snL3j10jx@&Bfn2>pHr2mPHbRXM2x_v?f
z>7D7hQAU4=@RaUY0ew!=IV^E;XvM2~E(mYSt^P|$Zqkg<Z{#9}3e$!=g+;JeZ*ut5
z)kPw>=<w^x$2_F>lE(p#Dq+-#RhKUR$3*t>{}r(c=O^92j=XwuP#Cl}pXGkZRis;W
za?(*_L6Y7mo||PQjLG?=;>TR9<hp|LNKJhT$#GT7%uZPtv9#&TY#nxT_t)hJ`JE!<
za6;>=F$H0~iTbLuGnJEUm}q%+tU-(%-`4B)7Q%>l#QjphfSdfsW2%vUP?9w9I3H<y
zN*H~=T~i>#OG?^ad-5behFrhbJkR)#F!-;9vh9DsPx5pRMg41*BmZSVP&P*d8#e4U
z;E5C@gUoi>b6-^;YlYeG?@JQ}J)fCBFPK996==qIq7r#G?W5qA4`Mi}az>>uU4-PV
zaFA`htwPS-it~CICV{cT39Bf-#mJ82m}e!!YUIQ-&jhVRDd?tuI!sTMB)?s$d??|e
zNnX`YkJD9^MR+~C!oJ-yBws|1lGeC3*$`&s?n9GDRi@wNE#-1#F@Mffva>GvjP+OM
zefo+o4sANb<D)<h(EF3l7VD8`U$7mR&sB!xhb*So@=D~N@BVk|B@D=*6XlLQX=*69
zok=lWP$sc`VrNPel~kRz&rj#j!pZH1Ir^ij<i+-Tt^)*(RLL$!KBq3Eq`MSG2Gz;T
z2M3Ge`sieUND+Upr#`kAXPvG6tVuSDKXp}jZAhjqE4dt=rD97&La<VkHu?ASbKP58
zj7UqJQ;w~zhA^V}^6t*mA%}>|Nsr=;$RAnN&w0O@z}iBEyDUqW+<(>L`)Lg$^4_~i
zw<zHiZ%mwR=y%W~YX|m6G8_y^PJh`QleYk6P3gUH@Ab&OuzI$+FEmoATKCs$6)U`_
z?RgR)sZR#%R8K!NW<W+zuev!WSYy*Qvkx~k^hvfV_6>q3^vKPc{w~aq*CD{G(p`OC
zk8J)=BPuLGn|#bNI=trMden$=ud7YaBUx!bH#Fv|lJ^zlZTD%|K(RyV)qJ}ynO~b?
zvART_9J`hI<70#kF4~G6@$1(iKSVn4Y+e#2XBExLb{?=n(e0c!W98apm+FP5BdfSc
zKKnD*4Cyv-%D*CZ(^-?;pWWShTy%=4+8C)FUArEx@5lUno~x1555x1GxQ;Q5=2=~|
z4c4Rh=x$AZ?v?+f7ThJ<%mVxAueVR0UWZ*qdI^G_ie$_SnlncW4|=k+BA<V>M%)&s
z<m4hba<q1bvFcMnSPyVsJ}156y;0e$;*L^ef2z<4(GX!Ud=shb_gW$D$jJ5JXi@Tp
z;QojuS5aKLHl;9CWeFU*zMX$oknFp0c1wP;7y`pxxIar<;@En3*O>D><hL7DOFRs5
zq}_k`b9E9hvHI1+w(o3YeiQR`or~gF^i&Lz{KtUTfuR_!!9`+!x;q=!9dRT@H6Qx=
z&jN$`PHx$orij@Ym4APe#KDtqL;c2Y0l6POZ)f^Dh>dSVe;(K(j@}(dk2@HdqiU7@
z>x0!F7&+^b0&6JZ_^xld*(%fw_1)ajl9xvru1EOZef%hf#un4J?9WV*vhU>ZhLBmt
z+UM^STW*NqN^b24H@7Lmi<T2Ul`k*?zcSU-go{DyY~%XBdrgqL?xGdn9cBoG$c=Dq
z6GN5p{eq%4V~A9}pYyxQ3WANIQ0O6s0K@7UXM1CmWe0Mdx8XpU!K;z?`^0ctyXL0U
z8zW?@NAa~jUk$!fBH`sLxp?=2%*OMMMmVTl8*pub8+XHIbBqVY@a=f!WxHNOM9egq
z28r=P-ng-`V4XN_J+@rrI$($fkJ8RLE`DrHYvqt9#c}My(H+kO4dIjHE*7)I56&H8
z93gHJNKZevZo_jruAqs@dQ<?K(N7aBSS4W>kulgBKu1<o>Y>PHLF9T!1qn4uBAL#5
z?}!W?ue|6H-K9b>2=a1qejo*pbOpntUK#{69DGM_Q1EKmS%ZE@8s7CGZ6>)i%oZ<q
z)~#?fDD|}GmqHn=|IGB`S0oMFPVm?|M2NtPx1`LxLl*IFuWu_j)6iC^oWK<ziZ1HD
zy(~#`U}x#^H>c8&{!2~T)>jNi7+gJ_+VT)k5*DdfprN?<fZQs7am+FOZqn<K$KGo%
zUb{=tP@d|XGZ`)clbGR{$utFQx0`A{Bu_(5f#{2v(~{7A(Qj1cpoojN8>!X$G@Lj)
zru8gO3OwabA6D_M<mNE$haXnz8Ek*s?$;`fx*$%So)1c}O;c%9U-9!On`5*QHd&}I
zu9X$Nq>N2u`}IvFG=#?8$(EIqL&XKvkLqqJXrIk*zPUhyZr!j%94UvJw@%sX38>-=
zB|F92b>*J#Z<>+XC6Cp_mYdVnsvyg38gonO*yFXvxRqT2inMRZ{lRLuoj+HzLER8~
z>L2gY^A+Gao$IT;;*pW}_YL*r8KO`jdLVnFBA!<chqRqmN513E>Fb6@NVFebqc@_6
zw+Rn3Yv$B}*<CrinvF1R|B=>wR0*_K8mIo*YQW5~xA0!1F@}W23>f^%Sdu)URTQlO
zr^gyx`xQ)39(>S1{IW7E8{2<mBx&Gf%BI~;Z6*k7;8C7fqk_~cNyk{jH8A&kq$2)|
zDJFRR3tb{r(9LLxRHAA?_F>81PD?YGPiE=QG^k(|>!UHlcj_q53^$wqWroe?bz)0-
zRWWu2S&yI&z5Pdfx8E{H=}!-(CR0`1bGbERaZU~DvQEOstu1irYu%oAE~;42(xiSb
zRRs^B;V9T?fzU<K?+s3>aI}hj*7;Hee1YTotG6?t7?8u*NmGTelc}~tkuuiZ-rw5U
z$iQA(e*4N*s_?zS`q?f`3HEvk5!MtSdw%p)PMHdPFL7`?`6}Y|r%i@m=z!*2m3e@N
z3OIlGZsgNez=Crn`;-HaS>{^ZJ*W&Z4X<dSKXTaBP~#i3l9%a|RTkF&DT95#X4&Wk
zS=bkdaer7@-}Ak|npUTT!ixA3YX@m0T%2e;?F6h33o}2dq=bloHFI8SlDN=R869Z~
z*u9bNmyc3J!}~TI(iDg72Emj>86aO*w~@6*0X8z6B|o=`LeFCL<dqo)1~nAw`FRyE
zCvv#Lyiyn<k!+iv++ZMH%erlqyFA_m*KAjHp&&CVFD2fD0nRtvVLP+rpyTVQ^;cAA
zC1)nq3%s{L0#B;cV5cnV?>gwe=NANLi+szL?G~7%h}`gwm%;fKHH&8B6@I*E`^YwA
zj*_Dld#>wCqw*U)_Gl_U!c-c<3j@q?oGP++_a8}s!dv=NfFEtU{LG#Wn}J7Uv}V3p
z0{M?d4W}ddaC{RRX&GpSiG5o)h`baBv(<oSD?cCHB)eR;d^d&NTlR>>+7)k__d8-U
z!HWoiJDv6Zrf`)Erz8)F;={qptRPN4IH&0H`+PUS?aSLPnM;Ubtc6Q?z>^O-11g<`
zdrZ*w)lI}HPz0Q3gqiw!`M}3yWw&v{7z<qq^UvQ2qbk6ZL&}aH*Vn>3Yo#xg3*Omp
zbPz_!4%XzNQhsQgcN>Z_8RHw<;K;*43d(oxR<K^V2YPOI6@Q8maNE;7GK~T=%4xPc
z?*zcMv*qW2tPz~Mwg;%VQ&6b&<;iTMAl!K9cfOPuBEbE~0z;32iO3T}>1%~h(Q}?<
zo3kO(`3vo!KtWLaoww3|gy2y7Hz(&O9lx}4sQGFXXj|K#aB86-hg*9O?<G2t7jJyw
zTt`8z%fd#{m3NQ%s<?K>oQ~XNDX!@V3fep#YQ~j`;Lqd}tH<LsECq!+ag<T8SCG@<
zMztuo4m7{In?r-+u`N62_=GV()Dw2KUknG6{=HrAv%=eR8f&8t3qytLPUb~E2?Y9w
z9c5OcLFiW+kJDdaumtr~-*S|ML7?)2$4@F^R23$y&x)XS;N6B7nNpa{DjR8gMFsmA
zx8n+WqPRPqyj--r@?W}B$JS&~5%2okuXtD#!vihv<-=r=a-~1>=1D4Uc)ZlDC=|m1
zo40cs(Q+^t>lD&IKt;FG`_PdTarijNy;iW4$DK*>XL0+f2-j*q{3%uf5!Fu<D)<!e
zU@Z4P)0O?r9*3k>$4X+vad*kwpaSH&#@#d$sL*pfCS7wz3SVZpH=KT<2#50D46a-%
zF4tu>s1``$c;%8-^A#mrw=6wyxtR*rsitcjE4gs{e^kGQ2xS!b*49R^q2Ykq(9PM^
za){!UsNr^0fo73dn3FpVhqQLsFFlY$aaXwQGeuRzhPg<kJf>m1p+q)*i#+lShqoM`
zQib8$Jl3OPbewai=u0lkBSL#~ba9ayT4gk24ASUO?byp?UZ8+Jt9V5Ne|79Fv!?}#
z8=^1o&d=3bSNJbFvwVqF18w$Gb}3H`L3v`ZIe<wCFFSZm8Oa(jRGn+R>Sl!Idk@Kl
zJ4zVfsS7watpQG<J>$F_#<*nCu+!8^85>OQ4YC+(;^*q;X)~{kp%eb}<DNEUYztrQ
ze#TQ1OS;lWY7$JKWXCj8yiElbxAz4VI%`69{o%e7PAh#H%BQ-%MFs4~o_b74Y9da?
z+46<B8E&h#q<PR)aoFF`cI3GRu5Pw}aJ%0Olz>O4yicj3>ef>4RSgYX`iaX1Ip*k<
z{lO_&sfwwF6HG@!R?fS<T6c$+1)^v61ebTK!q&s0Iroej7~-z3R2BwI^EldP`&990
zBtzoD302(eZ~Z2Dje)~frjCklRdG4h-A3d;73_Y0qjZS}IQI0s>AEYbcwkqT!Y!+e
z%eDLcXx2akmucJTjjAj46&(8gVTHRF18sYQfaoXZe!l;z0w4Vs)VnbX=<1wGN=^i_
z7E_{A_NbsD@8kGuMS09d?shd!2U_;^jlJqrhWqMS*~PoEICKB%==!UGunpzGX1X%k
z)O0;U<)qO+X=31=0z8`ytqM7%1bxvK-^?lr^y@#}92pH*I&C?$@2w)fT7>&7o)*L7
z!w%Q(dI2|tY6J7x6k+BsUR01I0^SXt@mdDJ5Bu6n`^^;)cI=c+Vig4^7KUBzS%Jh|
zo%k3b55F;En_b#MpvdLL#APy2oMTBXDUgHGKt%24HUT_dn)ny0!NBQCcYV|MD|I(t
z#;Ov26mtjK-F##L0Se<}(q<XZo%vUBU*f|~)z@9WwJh+rlKTkXuoM(M_nPlf;Kl9I
zZ?}x^nM2Pfdj9iyN$5nSL=5oo;8E+Y9epz9xY6)zjgNx_SPaUh8Xec5=3n@<)@3vB
zYNr|RQV>VO2KxI$z1#?TT3e*gZHB~{N2$8}Vo1p<V2Li|hKT80b?Y%xuyoiQ%@7qu
z|Id5lUu(HxC9$)qaoz+Aiu3B+#v&+E5ip3RtU>YV&uQfmCTKK?-JN|v7@3?*`gxbv
zAl2PhMsCs=JOe#%^y?{L?(S4CT+f4HuUA`wLyS>rChNV|n1YeCjD>VLUIeS%d%rYg
z1VbH;yoQ%TNUzCWC8@{<CJ{SHttcaG%8LH++E)lc8Xj@ml=*Sb%httml@T;LIGz+q
z3gKPFVUL=6emEuU)=W$_M3?QS)4zWRLi=Weoysu*T#mQMS*K`->9q6IpDlu5KkUUM
zWhaQw%BHlJ<#a3<POGzg5Ja+w=kYjMA^d&u@srI~Itr%Bn(hw>f(OgBE*un8$QCv!
z&eO2owZXxUO9=M9zl>^^SLT)dG5H7CH2e}xaD8thgljT+Ov<Z8u=KOR!qkxl?wC)P
z&tDM&i){aLy`m^$@3F6^ty=NnEq>uX3qs(I{p~F6EQb5Gqi&p)ROnQzN3Mya;J>Hc
z0`V(6KKVGePWuQIys@pbLCnH<WanvuJ_%@A9;0h+pkixTR^iTD!gzhf*65m*6dZ2;
z4ZJ8xMOMQd|Mo2+XeAT5uarr{zK(5%{kH+$xm?~@Bq@s3`3c!<ma_QF(jQ0dF+fFk
zTSWJ)C^&BmOBC&s!=H1{(mERqaP#Eh?}{sVsp}D?d9SrRJ~XZ`c~NVCLfeQC`$2K+
zTkLfHC#L|mTKPvMO$M;ITfH<oD*>^fg^R%}{dD$R=k4r%0~{LvR}>*3g;4*`hM_+d
zQ9RPxv4e#Q-LalHQD<qiXvkY_=~aT1_l@%R22@bJERu-JG9ZUyH_tUHW19K<#G42z
zBJ!u6{~M7-QIfM+S%nIY5AlhwsitC{WZw~;D~HUIPUAy&S8@UCEX_oDWnNromsQ^;
zk9W(fq7zT6AtJT@K=l<G4wf_+W>Z$?+39QbB|hqK2;WbBlBDDNKC8c~9~9uNn^EAR
zs)5?DoJfzSbZC&?Qx#_v!4i|&WZ9{K080mrCtD4nB<s+~xn2o=tsUIT`!#WN+<Tyd
z#|Qxv%sL_SN@$XB6+JeniPPSc6vGxH#PNr1=f10qfCr20%lcXv5!fbk<F+xL$CM?#
zvQ<H$zvIs0ty(C&__kUv)&!iTDx2NARq#Im0096043~F2)qfPm?Y-``H`ltx<=XT5
zK1M_lDxnlb(<)>pDJ!9nQY3{+N=b!CiV{WgQ%b|g$cjqIsNenfyv`rz_4%ChJkR^1
zbSEv+MF(l83csgrwuIlM(?JQo8ZgV`-la*>fy(p-qQuGyrb*iE+#MRId9X!Np+p-v
zwECckECY6BH5>~{R3vbVu{o`1p+?|#Ddjr@FG7DcS8t)h_DNVoq=pt&{MSIN(Hb?u
z&;1nQspwCYlJ!v0M1^cxsY?`r*b9#ywj82@JC=0b=a&XB=l;x12&i-^o}TifqHMl$
z`ur7jm=%~`d$Iwrm$y{9u13XQnW(T$gc^>{ZnG=P1gb)|{rvJm13Bvi*JeIdL9x%@
zL*li-)9u2+PF@<I?6Y1I>p;P6uZhu`9>7hb$ePivj@!g!okW`wykFFYmka<3cgE}+
z)zsnQ`p3@UiURh{xQFfi46r<K|7sqh2I1DDD+L3x;6I;sX5|%d^921-$Q4yYO2thL
zIZEUC^`k$s?*Z>-T&m4`RnYw8X!O4k36z#|J0+h2j-FqCJz|Lh?Mma~xkqBql|GQ_
zwF6*p;8grio`Rjza!o=X$oO)PLphZO&|Xm{ItXRhM-1wFn313<B0R-1OyF9Ofqh(n
z61IJ2H%h-I3|EHMNke}E)h(Nn2zf>5uaU5M<0}X@YP6PMpEVpE?p4Sikw=C?T-WXt
ze)QY7mR@tR#-XlFLwgovK|WqFeP4zTA#pk>efJq)zxvhKAVmgLgDp9SNxWDikZY=>
z%D_(_lh$WC(!l$lmTUcaklr}u+LCRB9OZn|?rBMoc-59iS$HtGOC#&$k|l<o^uFKL
zE&;j2ZSJLG+}J($@&tL0CF*M9K5;$~hZ}EiL4hC-B3y!8(Px3^r)MIk-il$=Um>D#
z9}h$-Go6Q=ERfn8xIE4y2KV-onBPl0xaEJSWY0r$L<9_{p4=!34xvIvl{#JwH#Ybi
znwZ1?>Ek0#jbyZ_>U!}N^I=2zzE7FA%@9{pK-o-?LDk!oys3g8lPpctM!Ff~imo;-
zz9->nkW@@cp8(8vhqnE_V+wJ(8;hRVB$&+9J$j`fgnRr#Jtr(paW=5%`^C*9EY|OQ
zD1Am4s~);0U3_MOo08>4q67&auY{;i=ZK(~Q*>8^mkAaFK1Kgw{@*jXS591eN$BJZ
zUGFesjL<%V`dh0>ur*mv5pXBtjr4tzce*k3Ii+=P29t22MeEYG)uPa}@>rbLG=`)_
z_DI4N688L!bWC;=LqpuN$dFe?*c0aWx^13>aGB%BWcP|=YT7kI{*VzY<Yaa`dy!!r
zsW|fLv;?X?a1QLI8{tUtk9F@l$q?OkvBLX5Nw`fF@I9F@L=2m+v7fgn;%F0D0qWAQ
zvpP$ztTcqjWnAt5EeiLCLL0J9$iV%Bv+13KhA=sQkk_+93@?+?n%8s7LG$ZZ{%9vd
z<V`jQ4~2<?egBtA)-&?Z_c$AVUCj`eLp`?SuaSU?>3=sbSt_F5b<ROVzz~YbO^!(x
zl9;?hmx_#4!e-x!n79=KSU)~ic$FcAecH>bh5VKAR&M2Z&!Pe96I_TN8>I2z%~Q=q
zHwu0;g8vF}8p7Gy!doLz2ITFHdbUm~uzgT_LSNnxTg&o&-aeFtXsy@pjMb`mdFo`9
zqrD--oOkN27m){@#Uh5sMGe)PsY-rvhTwK{Xvz;)z(j-fsvR5DVc*c+pY(+JK9&nB
zCS!^yDB&Kj-mHOLWmOJk@<yOqf8x4QqXg$4#-yNaR1B?sDt-RA5%`_EFW!k$#)i96
znckZ<5&k^jJ3GHIq|-~qO&lq>`K7h!yt5WKKkX|qE;hzkSCXo;xC+iPb{F5)(8fu#
z8%-*XCfLp|dcAU31+7sezEe}$SdN)LyNb;e4!Vo$>Z(*xcKOWJ7dbj$zs{u@-(?Er
z<AW^02h~upm@U>RO2aQ2OYvf*8S=j7<%bxlL$BkQ5M>Vy6E{rKjLw>);?7{J!l*im
zEp7<EIY9$wu8>7<rUm|0`pDl()xgEt57|R8%zj=SrIvI{j3s~7a1^J)*lWr9oDL03
z&$778Q>~yW;4`Y6K?QAYey`|d9ek*?)*eb^VEdi&$1NjNq(;ZqCVbR}NALD`viq$e
zx4(;Di=qj?C%ON8KWX8#e(D1g4+1vxP?=?DBC277{K*PUcn*wK?GOgy_ZM;`nQG#S
zS0{(I6BU+i*G@0(2Iz-chmD0a(eS6VL*<D&igp=}j@|**Udi>^`k0Dw$H99Y6gB)#
zh;g_(10+~zjI7y6#rnjPLweyVcrqQiJ6FmEVM@b(*3UK2+oh5e+@uWk)vAi?^lk91
z)%KdBvIcD2ImZRbN@(3A6zpnlgI7oI<x~9Cp?+JV^w+o?j>hdth-3CkRBU%+%VheK
zgs-~sM`;Yli*!?EZO~!ln!WX!D*8+(A1DY)VwL0HeRID7zZ=ea&GjmvzhZOVcti|q
z*G<iweGUle-oJgem4au-{rVQI$w;V9%AaBS$k&QptI3_puvwe4M`*POOwH2W?s@?E
zI~i}5-zs5yf(J*RsUT|f>&8wA0)qz8hxfizL@JN^!@5vDs5Y#x`<qID!~36z>7qQ`
z${*Rf>G7afvG>BM8EaTNn%OB@%3(GvP)I+B3oiP9#)aLj(MIc=9nY1){`Suv12UZW
zT)@)pa+`rP_u<G;ZfQ8%_%3JaaX|9kmcwl#4E(tkT2*&O5+$C-NmnkgW2$GV@>ZA?
znipo@h&o8%QO8h;jW0XgCLOGQbz34~NsX*6D$d*|FOO~h?5N$kp=rIbB^)+{326Qk
z#R7erB6o=$JglCA-sdgA*uQ2+C$A{lPc4~0lH@=|%l-BU4hvLtG>c~#kkM82y6DLR
z4x~HJM=gh$<IA~**t}>G{yf}zxiyUwL59gjhJ$9v2|s*v;k^hL3-i(Ov0R`}R@txH
zXa*H)A>8y5LH$eh(c(;Qn8jtLB)l}mYj0Al<DfA1eXz>yZsNgqIakgJCsW+BX?>Mr
zCyXe1L((x}KKS{2y{m0EK^<#Lu*n-CP#-OP_!7qtTeUxj$!;d#eixd%?u-x)ugz$B
z#36{RAOE_P-W$W`N8T0fWFhDXm+U)GA%q$ICl#bU#t@XOnqPN82)hO_KVl*R!Kigd
zrB;j}o9Wh@FeroyN-!rIm4u5at6zoY8=<a$@Kn8vFd|c*nR;lFG2h}H?PF|&7d8dk
z9EOBZv1+eMgQX}QWX##Cy*EVEy3h`fbs|`M_x>q{pBRLctanh84biJKbz^O_2&&ao
zD~HdB<8o>9?=}-dGzNb67jh(F?$E02=3xo=)d;l4elvi*H{(Io00|cuulh&qr66zo
zW3ai(06#Mfy|-mC=lFyk*9K|$e@r}R6m5X74`x<vbrZ#!PO)PjoMn;5T@@DZWB|MP
z$EOz6#c;>E<p}2FP$0S}?X7A6`jrdKX=HIUcng+HR4KszDR=NiUIP^K_I}(fDuIC!
zhD?l|5_ml={t}D&`083T_CQk-6t0)oRxFfpJc{3v@mn9qOueJtZ<IpaCC5pAYYL?A
z_*B=h8erYq=2fj{q;YG!`bYN~6)esVu=mLrpyRH@9?x$wP_o~mFT6t)L*y6#zS<eU
z#z|I*vW0ms2hxZB9#I3$z+|6Uf&rF}byBu}l*bRQuuPkBbtpcw?j&~@fcHbf#ZUVc
z(b&#i^^}=g<r%IOjoOBASuv@c$WUV5CnKzOj*8@npGW*l4AJvn{)^C^%J5%TF|toY
z3$<-~ZRT~1u$yI@$rLl!M&{=zdaGzd@TbI(N|zB14SWsQuC0O(!$us6sybNTv$>d-
zW{kjNdnkS+RTPpR?mfd#!{~_Kv(`-}$Uk`F#=^WRI%3Oy{p+S7fSpzTo0Ta7S&QOY
zdeu;|hn8d+s*5~!?*4biX5f+kFLAt59fNh6M!NmF;8$#qeMXogg~ZmQ9;E@6XU@@v
zLVEDbn(_SOX#rBA7Tcm8Q~zJ{{kzJlhjqD$7pe|gVnP1&y$7$UAba$4CEwBo`@J=V
zi~=i&^n{J|`e-7yI@s>3q%N|nEbC2b8OZ!|_TcgpO^}Hv)5WGVOy(?i*SuirRioeL
zeSBI-KC#0*l&pi?eFevAx(JNOc1fseYvE_FZ@vCaEo>vd7Jx61<A2XdRaFb>`>ifr
z71e|YW$mY|C&0{)ZX)}qCQ81w9prM=fN$8`j5pI4?pc)DwH9ikF7dRH)m}A}>|C>J
z(%S~rKB-3o6*Mt5PgRgVsDh=!ffqihHaKyT^Q$?NcjQHR%pwjeL${Ch<jIRRc##sy
zCS0$9g|924>(mt?NjhO-T5f}ZhBLA8AJmbU*sQ}FBa5^B{=P*8HZXWdsFjYZLI13N
zK^(6X{v1AkJ2Tz}niM|GnPF925-?5MJR*i^_r@lQyA3>jsy*6zRB%^7)3ZpNj9!g9
z!iCZ{2;mRi8r(=h{I{8vlMG=z6{v49>jPG~Nci3_Q-(kr>xdjXKd!Dl?k1BBxR6Fl
z|DIHW+u?h0LQ&kvJCdVH2cW|>aF~xv5q{;TC4OXcV0yZ1X488DLJQk``d8$zetVyd
zp$!|X69TU+>JlJ}|I|MyB#Zjfxtsy<EZ{G$IZ&2pjf^=``)x~U3}&UPJP7zpth7Fr
zV01H>dw;UpHBAzKqV}6>TwNy4us+>uMPZ;!dxNCpFL4-oZB7g<Um_e;4yUz5SmEe}
zoJQ6ZF}OJ9M2f9iA_f!tgl;^ygdXX7=|(eAR5mzf=Lanj%ltj|xyqIpIQJp!g#Z~F
z6qN^Dd6tR)Iy@rA;w@nM?X-V28wthN4JRwPR*0>ZYUT_5=J+1oC&n%<f@YRSeiGhH
zDak$Ex@2vR-F#WmoJB%VPd-*z|KlGa)7|GNS#E}%&f(jy*a<>Fq_(wklm(O>wzmUF
zW*Eq45hke!;OCdm5089fMcT+cjo*o;XctLs3^e1%rQ^!cQzUlO#CY%i^wR{@;<wX3
zCGz3ezbCf?*K%NJ=*wo!U=y565$FE+hZh3tE7$2?;6#!CDzWje#u$~$+xzDtFPfXK
z9k=7=hAQK#KW(2eCQ7|#1tNICx)||;n#P0OIy+QF=8Q0_z@uospBK{`?%T{M^I_G>
z=9tPjBP{y_9h}PN#p=M3dbv0Jknhm!Q{^|p&Vk$PBg4F4_uuh8qg)VMME)9GE;hvT
zXH3@I#0LtCR(sfKVc0ZnF!C`sMESY)biG+V<i6=8m%J9i-M3b8DSZY^UWpAmag!fk
z&fhWFG)017WUOk~Ap^9_k1r890(iYmy~$Bp6e+Y6zaXjseDq?M($5RxZQ1#<86Ppo
zzB97_{7xT@xp_X*?LxScoO-ycS{!!@S3hIq=!5UzF}>3wBA}PVKM$fvVmxbhR@g%y
z!C{AAo$nF>x$XRR#&szOl?`hDkk-dZS?hYa%S?`Q7%3`tmBCBr`n!b_bVOP)svl&K
z;ivPG@mx?24}wg@KeW&hbzlFo#&J=QzI0x=^Hm<Htu;|a*XY=E>G3sku^24AJ#=Ot
zR)o>Q(zD3|I<)BXuG9{3%&VS|m|s@H5dT)j_k229w_QKUDlCZ!o~LhFB`Kg15BXL~
z=!njG?=G=V3ioZAB*h68?9>RXjc%ZWb!T(O_0Q4}FPM2siBN@gT~yAuF**Xf)?981
zl10?W@l)wFYOony-p`?~4~}u8ZQn@psOo$p{c}YfJjZm{_eSfZK<}g0mQDrG0u>6(
zT$njMEGfHpKp&9`yR%ohDdFXg^&iYGXhN$X!(qzL07^eBe3k8#(Y=>`wsleq5~)R^
zT1@_0%QzTh$n?w53uMQ1JssRsANOd!VTg_DT!nj?bNlYUDZsLwhGXJ2w&C$c=n~%0
zMX^@}-)Vchqp`XO-n#R<|4w5p@A>sn%1I4X`4o<@P(6Gk9ccKt*92_cQBwiV>d0Gk
z`e-Uk$IZ(ZI1JKEQ8ASxkzl8R+B!Dgi0yQErqlZmJ}?8Xk7<B2(_apd$x}{gbOb!)
z{uRPvfopkMg$y1|P!6a<iCO=2&E;CGyCvwxzDLs9G?6yzDC)75jtbHC<f~V#utiGL
z&1<g~HZG-JKhHx)Vl%O0Vv&LJJ(GV_#<g&G#&Yj30X<Z289TP$mcW)%j`OSxZRBlm
zKQvKI!|;hj!!s5@Y~AkpzX95)GpJm<g--_^hvc6dwF0e=Lv@3EwZU${`k+uj3!b``
zvIYzrZ2nmmC#$B7S0Y+3xBk_D%-0W>B8zRH_i9$}NP`xV?py0s*Q>#$Blq|4S0-Of
zR7BiUW9ES5DAlGw6?|s%Dol{Ih0^MB&&>gv2u?pi4I?STcHv!Cpph-cEH_APIYfoQ
z{ldnOLV3(&y_sw<w#5ng4B3){%>1EA{j1I7>4`GEtaxQx+{)hitJ+hYS$E-D+$N5{
z6Wy@}i#A9UG-=qPs)m;95uMUqB;@dnR5d@gK^<GU=f+VLh_IN3U*8~zn{kqLY6&**
zC_fSV>k<WfR)ULtzj9-1#mPzN*}&q}&1DWhW}ay{C0Xmm4%REij9R82wLg};kU>#`
zrSow39ld|Vrwn`UkMThN4AQfhIcn{$;SHB*e+Y8gN!iQt0C$Rvi~UJi5JnqgoRWVM
z0ZHNfHZcTN*BXXKZkGnF@#*q!!8zhv2s=0Ro;CKy^s<d^lEjyqtC8)DY2tTJ-t4Cz
z3^?n!U*QWE2k$@6HL{cm!iKKk&}PWM*zJeAP49~0yl2a~k;HK#CinS|j|Z)=?+jV;
zl>!+Pripv6OOF$88Xaug8ZA*CYe|i&5<zQ5${UHAapD}U{{0+}C7g(?paU<2Fvcn>
zC89JzIHiQ`KkH?IUHK{Bb{!Rf#XwtasPPn$8B(kGzS11ivs2z-O#T0SX;<KZo*AO5
zFXKTIr#Xz?hQE8k<c%!Fn`<~{XNmKDw~Fj{m?1?;ODK!Mjh-7D4RbDkCoD7$xNT`Q
zh5z};mil>4U_1N6pYcD5vaa;=zqCzp<sZE`<O>JNOGV|mqka(~h1)i;oiTy<=EX;I
zoE*@bjd+otwLoxp$~c8`nZVuUZBn}@JGeGAILkg>BqFbxpU{gn#{27zX6-#}xSN}%
zevq_6#12SoGW%`>xo)vZ@mMzKDO24V4*erCU$j&vg&5)VpP<j$j%?807%6v*gB5v_
z8Xx$-8RDsW&FN7yHf#(P<J8*B2KO(L3%%in7&6cJa>#`Z5!W}KxY5FnjOYN*@nr*W
zpZj<{<tQ80_1M3L9Va&Z(WST@H-LfftMs{dY*4#&Xx{G~7vlc~@hi(2;Mg(0FFbDS
zI7;ho=}hMVe{h`a!D@ZfhpbKs8DYn*H?<P!Odorf-Ff$bi$1E&w3npLaiDZLnP^)j
zfFq}Nbl6SPF<4*G>K4L@3uI%d#Z5x!r)N1T=g{G&86R_FI~Nig@%Iyx$7S^T8rE6S
z(ad1nAxCqAmc+^*7DvK=u>rU3`}7c<F8j8!iU)mhjDl;eWc+74xq8t~55rt#!P9(v
zI8-{SoTn*<$p2alsv2~WCQvw(lEIIgC6$EDHE~2{aZ4Vy)5Us`>+5$J3c~tiZ|D;T
zNlX`n_tn0mA@e{Xdo_nJlmyp4qi{%LAb6^2B$0-VBd;U+6GhPUzU_g_unZ9IZ`^G`
z!!OrE@51v*=v0Yc<QSEMT7+-!NnRS_Jqqsxw2*PJDq5jgP!T158&972ro+^ywEkIs
zF+3@v#kJi~LcyP1?kUXrr}aa-*M*3KHPRyH_n0y)10D8W6rjO%#~F*lDG5le{jKd_
ztb*JFzBm1yX;`7m2ezb2;l`=JB%af%aI+q2yjw|wuzF%wFk~P>^*=hssgBWY8<WON
zbx~3zWARQx4hz$C(YwhS==@7_&7IZ7t&}&6hkOcfvrIi?LDGaXA8{zNUk?YBA0Id=
zs063J+gI63wQ$U^=g)@(I!^247mBDT<Ij4^PAxMXgjwaR8K>!EjT-ORc6$oYq2sUd
zl!grN6DK%V^dbC(-0dH#0`(x%vRn3g$T{j%_hH%quXS27R7zA)T6I^)YXcpmj1}*#
ztVZy3+4*IV$xTf~w(D+vr=v&Tq$|?Y811byhraS?;IP<cSC@nO2(Z);yqjeLVz5N}
zv=J3Y$E7=~-|A!N^R;nS4l@|CICuGYXu|RGisUX~1Lz%n!RMZ1j-|=??=wDH$m##i
zk|bdO+a7JU1OrQ49qs2i>Y$CTphs&rjp@VlW4)hyzZD8^M4nX?)PZBQyr52kKGL>~
zzIt-R8oNjOf+Vl#;9FIs)TeiJXdh>2KM?>HbYiA51Zgn3687fdf*!Wz4490z1NVx2
zF3vOe#a~WN=~XWcjRngjl}H;n-aF!TQJaS5*yqo4H*4dHZjqcgmo1X+8in(I(m~w1
zgI-UHsqj;2Y0ZtXh51j)5z=}caMTB;?|GmG%c7+kzL!j&+TL8gkg1LPzrQ`NYooyT
zXZM9m|7_7E(i*Ckr-d8r6Z`HpD`Iim=`F@&JJf1e**^@@#P_2;{7Z&1@b!#|B6Hh;
z`s{^?suC3u{Sppy{7hY!U$a;;Xp2pm%L4xQ)$uQkbyjPK2tpDwTYs0?LN}h{eSxJK
zen01%nL5RTeAgt)JzmUuu_8y_T^0PdHncoBg%w@3<Ff`UHfVSrAGDE1LA0o3X)Asc
zD&{vOOwQWi72g`g;cH5eh}c=sOiU8(Tij#1bZj8&^L)i(y8?_0{>$1m^_KXru0FlB
z5jgbo@r`}ivUpT|FX7kw7=ph1V8?0~K=;<tfzTl-jNht0JHgW36yz+yy<A5imA14W
zeiCS}Ff+@v`q;$PbncSY2Wup6PEuQ9-lNM)t$O`4Lruf31?l(MtYQ3;R;4yZg6N0b
zt@*FNG$pU)@+s40;Bj8^``KY(#7BP~9KSx&bg@_H>M=hnX5Q@xa@Zt*^UI}gWe<!r
z73!~Y$~$Wb&MhhrrPO$#)5$IOW!IOc;8uRK{x=r5@4iD^#EA>u)4_L=TZWnprpH6A
zWG!&`@}5kghwSKXO-r7t8E6V$^B^-h&>SwwZ*>zASYb{df7Vg=q3NV{r&`QiGvv2O
z$tv;wBO>*6)EaKRZE6>iY3k)OgCNP_SAX6Tp{Bj>kYdd1rp?V2PCkLAcsMvM*PORN
zoKqK`-51c_BtWG<X=^b-hpJ=ho0WNDxK)a0{#jF#zplyIF{%kjymy)(wf-Qg4`%A9
znU*(2ko$C#P8s8+xs}U@p*h0r=3|8~#+QijT;9pue~loM#k$62?JUvmxzKU#WdjlV
z#&aYr)Cg0LWAg-mP7_-`zYbXX`-~70_!}Gk#SrGoRv~AePZAd4rF+)gd_@@Q_PuiP
zHN?avGi^_S38Hp^o*cERmk^rl^BQ<(fRC$ocF)}!Clt1^S?_!Cj<B*Y+9Bj)fZ*qg
zZRt102$f0A;fXb$h#MUbni@aq<8#vClHxz31V`yHrQw}}#7`H!{ci&FnL1ii!jd&g
zJP!ALyzb^Oq2-f(!1fy*W$SNSR0WI@U2``N53!CC9xPWfr{n1e^3ySV89hqu9Q@>&
zxoezwFH~jIDoDq0<rQk`(@~;4^mAC+$OMtW`ECDxrXLw^8h*>VW{ik`JTv8yG)-&@
z%qZBuUl&Eu9kEUv<HX7AO8G66St5!37cH!ehVNAmL+s|p3CrH>vZ;bO!oo~l#q+Zc
zcK6V1E|De(+j;faLhT=f1z9~^L{SF_;L`sPI7!6#d*uc8|0F7J7;v9r=H~nw4yx+6
zDI!SC(edbwU&Pz*&tf{Ow4f;VTRpI9hG+>3Q;08LAex*iYFk;fuuP)}UfeKCxUW~N
z(&<<v%0K63#BS0=*_%mruCO^mQ_I<|M`?vfwEEGzaEFS=R|RaRu74*qN^0%oZu}!e
zc?~%{C8)>|XV<CY`$@>0+EXHF$%?gOTb@-XXyEpzSq0<ldE!jzB(b%b4Iv^Wx{PUc
z+z-3^Jj?1gG1N}p$QjImp1u%$!|m!QwesEPC-H|ky;I4V&6W$F2K^q5d{o1HlhgaV
zN=rmQZm0fbdmh*?yF@kkso|We5KYu?g?Mw5@iH%l58VYW!WNUN5W8;N75DBRaoBh?
zV{AkKk^$~DtO=^vZ`#^#<-`hVXU#Y{TNnvT!#h7pt0HMAQzxg54L!Ef>TwJbbTh5b
zv^J^Wz_zb`q9GiR;ytV}`Ie0T0RRC1{|uLhJJoF%$L+oM9>+TNImfZ-+>TMCLW)Q!
z8L1>9LZpzC-XscH*-BA%`aOv#tCTHemQnT&uYcgVp6j~r`}_HRf~avSQ@(Owr##1Z
z+L#H*A>!UDDFV<OS1wVfAqVA(ag*l_SRl|Ft-p*B0%y~azuOx)ur^yy@;S=}iK?16
zd2>Wyuk9LZTMrI=gS{6g+d07T@DKfo1u=-eT&Y~vgoCvQPiV6*a>Iq|J>Onmkp#*j
zwZ5ti2jBd*l`QbQ5K<fzIVvUt@s1iI;eT*&C9HbTrIrt93QQK(lVzb+ve(mERSu4u
zsoco)7XbEJPh(ZG9K7$6pH;Xc2j5<%tA`&Jg8aG<9xJo*Aa2kyHY_L)iVOS`WET+#
zADnaJY*B=SYsYN0JLEy;w*93i31Z;XU~J9QfQPdS5|&k%0=(6@V70R(0U~etnm2k>
zV16)My?<5_bcJQ}KHQXsv8VH21nJbl@u{<KofjTnC#a4l%gBOA%&lTRLrwTl+{!tp
zr2-R-Ms#xza1i+KpT5%@0+g6~@GLp0!F$4Lw62&u1T6p1&+aBdQ(?sS+Y=g)Gs^XF
z;e`SWS0~aWkCMPDFr8=cF9BNnU&=_>C_%y7YxmCgYJr9M<3EPkBnW!JIWWD5ho-iS
z16K;j(D6D?QRFTeswzd)UnHnNbc;}Xin%si)y^2+F4lo;xhd@iSvAmW^ez|6(gyL9
zD;BY<df+&(7SWWb4vA0walOy9A=pJpt=`QL8u#ra(GO{WSlo#5+;MI2$vtyv^M^51
zCyR=y&T7KWxPavSLNaWhdBT#b3V{1A(yHb{04F3^R{5V6_$|$jPB@xC+@}%!r;iCx
z%xkjfD@=mc+NhnA=co|eN60iOAi#{Qu&%xp0nXp<zYy(U3KbrC+LqA-i0h9&<QJp{
z3J%hqv;t;uV%c)SMvDLwHzJ~&*zl0Fzu31S#SF3zdvVvF)`U#SGt=?ma&QD6s8lj(
z2I=a_UUykFV9@F8&{aMuSQ3cY6H8|fmNPNLgPv+YQ+Vpx?>s?BFMqmuWy%bS#uJy?
zZ>s>z7<YWzVh6r~YMa#pGjJC@-pzUw4~uJap`!v@lut`h=c+BtAnm_MhUwFa@RP&!
zPEAiQW#UV1P-3eo9PKo-vDT3Xt|q(hlGI7;_Zw!)3#uvPsTUR)v*W;ZGM;9>XcH41
z&rkmMf(mLM`%Crvqyc}V>Ow*eJ+kc6?WGl?LZFDP(0HRb$o=K6c)P}omJ*D!dv2P*
zq8o!H%cL;uvy?ix#?6j~<(yC3ECLK#tzG2ZF91;+1&h{-oJi@hR1(n>;KVDs=#e=d
zIFL81((K2D!avMdjn-435G#K9qlz6iFP@VAslbhHA6zIKY1jjg+`daxiZKDBPv+2)
z7dPtRul?ls%^2*@__Z_B(*o&VrE$awZuGc(p9VH(1UhRDpEkSJD83mi-9<QV6xlO>
z*h<t0whoqiuq4h=toUla^R#lIQTA9X-UEhEf0W4f^4JK4rBmcY;`!bG^fWNy;|u`J
z8QkMN*+AiLQFp}iaUqs+%Y+x5`jFS&8!af+f=RqB5xL#OiCCs@3;w|AL-gj)t^iO#
zufOCA!`MCZA<|ePCyLxrnr05s18Vf;z6`o)>~!InwNnHqvJ8Kfoz$-j*@geyu6562
zeUm)X*Wx)*T$_^upNTF6o{>)XZ(ha%rO8g^^_(a_=gBY85*=76vg4EWTF0)W@Tx{i
zb0Md$Fw9L>2MDeDo92!GFxIN|!qz-4^vFXFRi|h}#D1+V|Gzs})(w~2{7&5H*q1r`
zHPPLB`cUxlZV)X}Z{Kp>FUf<vaT&E78D!w*J5k#)Lx(Oe|5~rj;XziOqtlDZWU$dK
ztt~&sfSS`CTPIC<k(E-;Ty>2Wq`r#jj%r{;rC|{V&u;RfmoY6bgKf1yeUd07M`A|X
z^d!517Cw}jRDyH)O9H{7uzRBUEGY0pgVS6&KYG%hG5X{_3G}T$y)RT^L%h9>0cUFj
zkhXA<TC^bv8iuX<J1g0dzkFqeP`@BrS^X>FH$#MMD;;}hXHJx8@jJIuP#FCylC%Ai
zLj;`OyOAD2ZlvXL;8>`S2wICMs>8bzVJ9|{)-iwwy}YOUab`>u`2_E)6VM>SMPY{R
zdp^9#Y3rKIRIoS_&sc!{G(<4mbL^LR5FhH+pymo`NTOgKZpQRM0+_Zm??3l|AFXIG
znGeuPqk>X=?!Wg0*cYMl`|~>il($diX5Lj9MB(`A5Liioj9ZZtAq+xD#J|9e>8322
zx>LtuSVe$0kCadO92Z7oPgl(UOT!`6(+)nVO$1PL{L<$8Nd)zUUYBuuFNeBjHd2^>
z5#ZbStyS7XVrZ{-S-146Jetk3_F@+y!oxTAdrYUq(aDp8s;%0JNUre7+TP<t@Q%z`
z{Fy3=8cP59yb4u9Cp=`l&z2KG*P&x{<+L>7`T6{SMKc~1uFSm?Rv^J-cWKR9x(q52
zXA}F!uY!VIeFR3Hkzl9TTTbVpEb7M@jOaP3B5t*_0&)kn;58O88<T)TQeKU7Mu}=j
zCR{guh?NXFewTf!66H{Gzj3r&jXHYR?7Er!lMJ*+9x-h^l1JwcNF}e<Yaou!QdhZ7
zZMZj!`~5vt0Y!Z2C>zhwM0z$By#C*HU?3=s+wQR<`s%n+)2u>3Z^Oo)dC=%Vv-#`r
z!aGU`KdnQxbSEHX?(N%Iy82)}b|A9U7mv{VA8U><0{YGK{<!Zo17LgWE8k5~MvQF>
zgFP1rC`Xx)_MzPnyxFCG9$ivKWd{=KZ<7fqrev(jS=Jb+tD>Q|Z>gY&tmr!|8Jg(z
zcG8hQ7xqABQ+SQWstOu*_dL85rh$yhp3CPKQ@}L!Ku?{aDq_*t-gIJ9N4f>I#$8?j
za>qoUzOz$BP76xMMyyrQYx?&t-=+bc*(h|18K@$<EZU)ETV-@d=+Dj`XA{_&2=UaK
zS3%UXOFKJwB@}*1DA4(}3GB10P!<eULC3FGI@^rOqd01h;+16+`0sD$UDt2Q$j&F|
z+}GVXz{%074M{4nnazKeXI4h|?7sNseKP25T|wR{4Jy<Wt>M#!@F<JuK0#HMKuJrZ
zL=ij{sI#-U5f&wMmDPUgD3b_^xs2sna8e<B$LsrzF$EN6b2e7VNB{{R)L%*XX#&!1
zv4#3C<xvyWp#M$}56bx?*fpGE0!hYuneX_?A$9u6OXuFQqpYy-JSi6wc<@;)_yG}z
z<Q{&0HeA4jFf~_EZVnT;dycfwv><~*oDK2kz35O_*F8t_YXHl#73YQkX>=PO+`>P+
zh4nsE_pNpS;JR_RDMefoy*As+J>a^ArI~*I-Zw`9LLJ%Uz;`he=juiGMtKQiIP1b0
ztw{kJxf-Rrm<XyFY?}(<pU1*aY!ue)&e6tGQ$4p)2$5{pXTHw-!F<`CJW+ja3|4L9
ziaGNFNU=U?mBDEmOO9YG5u7!GKM9{l<IMO`_4r)Gn(`E8*6pW%lxzeKeboFT-twYk
z?t3A%(o@)>fVtL)FhkJxqPJT<!GnB0V|5pqrm^mW^%e7<4B+1Pw{M<Xav_P{Th&lH
zgC(OMHs2)-AY+Wj=7b~%O7;16k8blXHo|^I{<yzB7}ym?#%Z&m$;KxS+DGOv(<Y!?
zZr6jqb0zqIcovi~9-&eax`4Ud^H-D6(1TE_GM%10GxB>-bVZ!Hgq`-bVzy7vg?oOz
zC+8O!(XmU}es|PXu=Tww0<@bt5N0Z^F|fjb{yuQyO4D7#ilh?FMZ9#th=$^ON{s=v
zoV2lh<GO(b#Q99e^=ZSxUpgY`KYCQf<)=HJ_YZ5UAOB@@NE@0nO1|%trbmu4b>)d{
zJJ@Lv<?xdq$xx|eH@VzRhj?<YcHjR%gKF0})?V!;gLvRj=;&)YR75n+iWQ+l7t}t>
z9r~mN_6>R8g)8aMV{iOycPKpyzwR}nv&#{itPatY0XoE_@*pr|nE@?3=avNyl7PnP
z&?RFWJxVxYr~m0D6N=?+Iwo_T1P=%s{milSXgg`L;)FU2x>f(S*qVj}?)(+AP23Eq
zRCSO+Xn_?q-R}yKcua&7-o}0w6$~im`j$CsH#@Q&u6R?eLj=|3=;Vx0MucayU%WNQ
zi2}!NcRThGz<(zJ2X0I#=}?~L9R?m0^RG_d;5q^N-$fl6@n%L3x^q2VYw{waTxRWO
z8U!dMuom7<WI;9eyh;l%@uB2aP8G2RP0+8kQocFNit^YW-SukaN7vZZ6jOCI;nv*&
zv*U-^QTKVl;Z+ksv=BF=@vBM$_6Xl;_&&{n`YA*1r@jfHJFJ&74J<WagT*n9?Ku~M
z_144rQ6i|KG(wAYN*%&Ow?4;O^B~W?G*>Dd#1Jw0v<u@CbvW}%Em-LoFY1*ps5@*e
zfiCIE3F6PFLq&VldSVzK`f=k4j=^0DRi!_ys4`K9n|bw`9JTxio$MP3w3R`x7sc<}
z>#0M$>-~kde1a%hmCM-ihAgUzTnJpYQU^D&fwtx-A#|{8utlsHhq}t`kFJEO!>|1=
z^Adt0D63_BMPFJTW%;s33v{XjHJv;2;yY24_?q={VvGWE@G{yscTfXX9d|B>#fhV-
z;LOj|9YvJ>-J0k8iU!<C?yuaqB#CU}f4=m(fk(C{b@=MrHNj;)bK7z^H}3S6n9%X4
zAmi^QEaE=9{oZOzw(6q{TL1J8dzqn%{D_H~wY)?Ki_c2?Jtm9JD!RAbR#itNu?<$w
zZ$ubv5aim=CWrpSM<lKmX`q;b=U;~_N$_;-F*4MZM~Pu-;vK96B(Ah#cc@MabgyYK
zSa>O**v<5^nr8&m+fT5b9wS5Ki&p`>yZoYN+=B>RBDyhhU$9zT2byQzryOfgLX(WT
z4@a|!i2K+}F499?FtRTCwKR%H2k-todFvMuIazdsZVBnbg>@dsxjE(Cd^T$I+a{uH
zs#F{H%m5yiZx6p8RYCQ~1!HrEiD<xU`v~trBOn`W{>*x<ib6~F#ecp-M7|$`CyVEd
zVf?!Z=TB!f6uN#?bYqKvnAZ{?^xdMsPJiy4f2SHEm`!dn=@1alC&e_rC;)-W6Wv$%
z)RE8oj|(h*8tB)1W@8z$3E*CrD;5f?qmD1}!uk?w=(gP(dAe2;n7CtS-0?#VWhurn
z9=WEBaKyxGTKlLlAW>((>8*x-`Z_(Cd!dNL&g9W#=2Ag)Wosy@Ru!?8FkiX$Ne<b+
zQNj(5P@z%fkb!Zx3gS=}xTf?=2Km2wqpC_{3cU_V3-0ff(MU;gZkoOXYTYwkY`;T=
z{I&mvrf=d=LGKAX`<4*;k3odPev}FVM2-CG%1TJXC&t=bn-5thB{nbYdd=89{w?_`
z1#}^!ANP5Z9Su&f)1N#`g-P5I%M5*a<aty2D*tT;#QSB!vW=e#((jYxq$+Ue^!?yT
z<&=Mz<@0qp%~vLn75A&?H(3@PHRQNpeP{tYZ8D9c+iwC=&fI6u1W6+<ebuB$!7<E!
z%I>1h5CDVsU=CNd#4cZSg|T<7*e!=o&+r!kDBbI4GXILAP{X4`LGrIDU-DdH4)0K4
zkU<9;-Gou+u#Yowr<2kdchx}(M}cxT(PKu8f+$;l{q)G0L5jQIlw171Jz(p~pCaDH
zhwgaq&j+SqihA-|`+&bOjL16Q7W&46%4zz#@w<K_6!1y?U5*iyx+Shh({mv%F7}Ii
z!bT`<&mL(#88C$E2R~dYtJ#pjgO19Os$t5Veq<UiVhBIZTeScFz>E^upD`ab|4E4&
zFsHlaYyeK*oG-a5G9qo|tx}KtLCQsI$s2At`ta=f-WQ)c=}?q|jk~l!FC`7vyF9g^
z2m1wk8`E}qaDLy4&uPxD6i}A09JbH{ebe9rl51O7g;%4?ksB?P|43|EteLtHKd%`>
zJFtO;n?NEyA5rMHkJu}2>p<bE?e>Ps8aCs5t-N(8k5YdH@$I<kfb=FdSp0n%yY))-
zp-X-ab~oc|#>r-F$Xh!+b$W6UYgalZx!Q?gdY%&zB4lltS<o=kG+)3vKTcox8TJV?
z2;v*ueoBU4cOULd{hq_V81Cru`*&iE?xnaHVKV$zuay>-GK(pSIlbae?7{Q`sJV6b
zwBSmiU<>s8!932?r~2d%Vxv?2a`x<6Q20a7EG2XXJ3z`5a_j$z9dIx5cyOBpgZJfC
zZ$?aGxn)cLo}M1XX3s2+o#G_HjEL>Znf@s(>1teT`TRI0u@N3t@PG)$k@t%>BB!u&
zXG;!;yT38syay(Bl0?YC`=y&-p2AK(3#zR!oW`c4sdm;y1UM<}Uglpoh1Cgb9CWAu
zi=~p&I-(2+;G|yjqE%`d+qv}Iu^?a$JJm}r`;n>%zE>aHWPX{(n3qKzPH)X)iTvHh
zo6Q<<B4oo_2hCtkPsPlu(iXAf)N?GB|I~r8`b-g;{DaY)H21D@SjL_m8PBcKR)=)y
zj>|R&XR*M@ug6PBtC$r#iIEbZ1{b^iuX<dW!&13eR8&dpm={h*si#I2R6fd<2YSq7
zMxGW8T+W-A_`m|g4JK8H_*Imh60m^rHouKZDBHqh8daWIJF0;64-@a;yhV&|QvQI7
zG!4p?=uh4IQW;V`rSLMFOBh=v4=*W_7Ih_woloFWhM)O+AJPY|U>CN}&EzrCqgCpY
z4o81HG<_Dv=)~4A%Z<cvf#(b;@5`5+t|29OF+f-8J++RN6f}s~g)*U(DVYKXTP67W
zy-j>`Y7={UpE_{s3JaR;v+*)%Q3TWDx`(Hww=t9WlXm(~*--iuT{hkWieTp-Dz#=o
zgOm)7=zxI}oi@kEx%DW3><>FO*(bCpd{)D?H-j5Bh7C$?dMf}w55{FHNRMzq>95+2
zcl*PU2M0c|C_rj>Z_|r129(|#=ls5%4{1CW_W4~Z4-cN*jCmf!gcv>)dCf%$Am7X*
zQSUwFVaJc$Pk)XDnaEjNWq1f7bB)+udNp~Nc{4|NeU}ZTY-GJ7T;Any+VwrpY2<-E
zfY?hv&VfQa?)9*hiJ_6HGz*pAa-c>@m$@9kje=CQbFaxsqPA!Od6#iHcx+>s*DuS9
zc>0DfJ#CRjFVCM4Dch8TL(dQDSr+jjE8Q&agrl;kY_hk3q$v+6l8Dy(r~rDa5m2}_
zhC|1*JZv7{l!u(lw90XKAvCrnt$z2uJhEzvO+7`c03Su{EShm5$jUUrYSUQ}Q5=0g
zbQLQ={u@^NF$*yies;P39~F<<-&E7{#VLY}Y&M-pk_5^!n)CZ@s)8gg&+~8ODZw(?
zF}RaQ8j)Ss&m3}6LsExQheTMEp{vOMs`h{k8gmx#j0x93w{o`AT`N`KZj8OdDJl+m
z#I2eNA0eROpvxCgof;%}9Fv`?l|vyzt{r_IM1);fb-y8}3B_8W#|q385NDfi$L4tw
zs?_SfTe(VrpNCd8c6t=i<D_0<f{PaN@l6bFPawe|pc}2eh)0c{BMP%>Wb}L9Y!90o
z89r=;kOt^gka<()^{qBCBJwt;WVq{qV+QNQ!`rH8<e1pG1(G)6yh0GwO4NhnzqKx3
zTvJ1Wr2iaT4{9URx_u?oF$1t(n|+rC8mPHVvLQ!68@a{?4NqAZ1Dik$ZT1mOWYqZU
z=Djd7%9s9TXi!K2UwyKrm>>ZyyKRUvL~EgQwp;vZ8vtL#9n+PL5m1_YlcO<_gnW3p
zzI|b(0_StlI5j^4k{Tl69byS+JElNLdX);9hYy_=bs-@3=p%_0#_EW#nHq+xHU<3$
z0m54%1XNt%`YM)78U0h8-8o=s1`=#~aV`fn(Si2NGalvgNP)Yr{ZWn?ghZz4o)gkQ
zC-@e}!cNN|t9>@F^IOc|<@@ME6Nzf*O7U}}nd>5GpNIbbv-M`cIxZ>&Ju1ll{hw<m
zCU}stIgVs;&kWvtF%)v2!6VjqTNxcw1~f@b;S@J81BOfI^6!o+qQtG40$cJt=6PJ=
z54pt@W@#2W^jqYS$O%UVvO+z@x$D=75Gzwy&Som{d5J@DS%Rmour5&Y_g97uy`@3`
z?|y0HbQz@dLuNAR>^3FfxV1X_u3yj0SKbshltiub4?AB?&;!TA_QhjqCSasjt)<~D
zifU(NhldX{!!r(riiutSWjp?;T=T0S`h2ppwz!-X92NQEu<HQcnVBIpp?v7f^l8m6
zChQ>GD0oY6jRF-d18LkHT!^E|<WK~j18zBA$CTIi!0?p9sVFs8bVK-}S;zwp7(Sz1
zmd&&WXrw%p(l{B=g|$pFT^<LxYNpeik}-z2t)=oYecRa4xOvbH;{bhrHJcW5BX~=D
z=<N8-6|7)OHnxJm0at~i$P$5uu*g#tcUbr@c94N6=kb*t);O5|3x8>_>!F?vhsu9q
z*N6U+WG=Hq;*Lv*!je9;j;+5in5)N_ZEF6zD8&xkR{CKFKp*JDD966cHBrnyKRT!}
zzy^}k=clcA_u2l@*3(bq9~5=Z*-GA0Hh9thEGB+d7b-q1?OQbcP3c=n|0SEt2Hwpp
zzmsis;kx&ecoNqf#mBkDRjQT^7(N)S(ADgE>$8%MyV;AByOrt1UzXWGeEe(MHT-Vh
zPWVeo{kuX*pH`JV>c9?O(Q>wJY1(joN$Ao?nhlC`kksD;!|XsjrRnfaNE=KWWnC^#
z{G&VxwQ}Zp$N{C1X$r<kWY8lX9T_Ozp=hZ^zisp9gkjOc=0tHa99Ey+r>#K?9Ezd!
z#n-stmS|mVYOWR}aa9K&xK0OWd*T=eD!4%>Hlip-TMHB?MUn)*(L>$Fuc)u_JdnTB
zd6=_>1Zr;0=lE3_!RE}ZRB+;j#j#)Eb{@OAar91N>}@7s-(b(Wv4;;{8>CR;m`NbI
z8Tu(`g&CZjt=>l(@xyVCG?vX0B8*H1slD)Hg{z$U_Y95*z$xlerIq7E5Y4hs{7lCV
zHC+PVYhnd~ZNB>E=&lEa*nfKIT*Lt%u4;S84hVtLg~r!=+6f>lIRE(7c`mSFT&=us
zB?4y>nr%`N2%w<#*XW)i59HR^2&?poLdggzCi^4-B0rBWyD9NP&?WbeOEKaQSk?7S
zT89AcdEY;rFyMo%b4x;94w4|9X7h1fhyXJNW}-{3{7^QMV}8+68bFTgxjsDs(l$e_
zBhmz*{&$c=REZ2o`+RyNx~2)Q?;i1`{1t@1o-J`YA7z2}i7EdFIs))ZFwL1b2*W;w
z+C2_SIQV2>89gLIfJx`=Dwkdnh>tgMr`zR__mUm$5`_SaXD7YI{lvgM_D=5mD+=&!
znLW5Mm;k<<S2Z%^B|tT_)+C@+5#B3~b*MHIVCd|^@|{^pfYJe8aTPpN>?g=`sS{y{
zJgWZti!{`?FztDBM;Vwr6HnL_?fN61cEReH3{)3}MDCeYfg!_`_cbOYNId^Y`|6Y|
z%ocMg?cJ{itk|1?z9kay!VgNyDh@(<l{}OltAlQP=iaXkS|CBY&$*XX9<-f4J{;)K
z0RPrvA-ys(WGdvgF-a+aR((~z!nh`A+tg__ztM(^Hh%Ma2#V0k%0x5avFpA098|qg
z9T*xeefGmp35Y(rW^@<<I)k>AS8;l<7H^XD$Pf=PR6Q$}Wdg{nEvs)|(Fdv2Z#q%R
z%Alr8=DJBwgn+FP#qvP|D0=L-=(M8@K25$%<KqN4-|dT*Esel$uR>r^g$j7xi1OZk
zM1bxPt;4#N#t>?j+fA}m1zH|amI(3P_pN9+CdDWq?Yfg}QmP8)MT}Jo2Q>f}6I~Fh
z4IsPz)lPUy73_p&6LOT*Va8(qAZiClQ4?^om{SEY!sl!kWmPcFZhG?8-UNI^2C{bE
zslrcRS?yEPc#!<$=KcP?31G5ssir4Y!BVG2+agjC(B<0&nxa(je>AQ0=c5Wp94eEe
z(8<HQr2o$49;U+6&)a>ej4BY3eaq=qxGZD@>_5WmPXz<5F++c0WtaetlHOg^$d<?D
z-VdSzy-AaPBO@OE{Oa<M4iJSmp~VU&9#r_*IS^6UqX-Mb%zLd=1i}5e*x|W7R9Fc<
zm2^K*0ggX;+@rLg7owPSQ+pYyki)0nGioXiMl<|F5)JI27In?i{;dgoJ#+bG?hFp>
z5?b2~#u?#x-NTRB=S+ZUHT#eLLs>X0iCy@#Oas0D95w5BOd#X#NFmu&28y(kjOIJn
zDfy#}Nro>0jxu&e#jHp|N$j<2=EoN)6!BDFOY7Y;6KiU;jTDEnLj?+5RWp>vc@^IM
zZ4_|0yqO-UDGH<jqsKR`#wm|w!<p@ADX<3~&}h;L!`JJt=>2$qQeG&SE0yW&`X*I3
zcln<H%=CV=e0r{rGR^Bm>hUp#O?|;+vMfKG2vBvKZ|kDi^~FEJij08vF0UwD<b@GA
zYEEDEH_ElZG#AckL$JuSCu_EG17$$mp1-V%Ld22|N)rs>e*gdg|Nj)1XFQj08;9*J
zd&}PQH|%wPjZ`X$N>Ry(L`xxwgzTo4QEA{Gk&so~cTy5UTPcbVk(H6;@w~lWTraNA
zd0xkHtdrId&=(Ly7tiDsmbD*<#PMh;wWAi;Ai#QnxWWgWmR9!;gD%23h<meklR0$4
zYQ+-v@*w4m;1%KI9wM2`TT*kmIc)waPgW;#L32a@QLP=l#M6vAC!R1fJXTNf@&3kv
z<ZzaFznFf)v0w3R$!k*tu9NAVJHifr)|Fw(-9LzmozF{HO-!L_B{d|yk_}=C*+rN3
zjSybjgeyK}o8aRnyHD|}SaEOV{sX7d#|WqEx3??vm;n4$`&UM=KqW6zgNU6VVrpow
zE5nU(G1YTNXyGDpzP9^hZR`}$ZC`jHao7m^*nIg_AN(UIvopz8FHRHCe$jl)*9dZN
z4%Jul{v)!o0$d^<%@X$Qxv`1eOx)!USRsFVf#5DGDR?&bhiJ;+Y|ipxLNa%&;;-Wi
z#741g{1q+>L`zcJ;Qd|(4%MG3xRkL#d|%kwCH-`fD3Q}meHO&P#(YN&=I8?9rKc#L
zug{9$Z@KcHX6W#IS&)?#`HwK{x|=MU#)hm*MYQQeIu=!KXl}tGAvEcF_#6ud)+ZK=
zsmarkBU>i;aybiZ`1Cn`o#I4^!`s;KavC^Fn^bZtSRgzqyLp`{H|~A7eU@(n4Uua-
zTE6UI#l#b{`M--i_-8~MS?o0gV=rA@+>#Bl<=ubdhxyQLzbux^&=7LPXDcMM*m0~r
z@aN410r>AW-jESzfa({!!r7P{i04y2;$$I&`f@Wz+i&{dAQ!%4J12rGMy5Jm2}9+F
zjep)6eJC0vNJjm~g^Sl2K^!WgC{7gKeSy-$ExE3kJV_qZXFOiEm?nmX%RR{~c6tc7
zm9k>w4lfd8%EcrkC14mcMF@B3!b16UYMmcHF3qjrx<yJNLvZ1l(tcg26-Pyps|6AC
z#D$$BO&XN+#;msGx(IT%So_RV2uEA8FU3a5f;trZjJ;b22Q!Q<2VV-KeeMpw!zFpt
zn(=;`Dc6CooK@LTUQvv(DL&Qvpa3ry){PD~b>Q}3lZuX)7#{iO&2PV{gloKhZ+_g-
zK`trX5!E4%>)C8a_l+t;FGeidqfG~ElFG{Zyd{x3@KI>9iz+S}d(%!x>cV|0>}rmP
zGzKP{yDv4Wp}{ZiUqhTO4q$V2;a3?b4L{BL<EnwYZ#Po8<n@rU`J?mYS8_O2k|@1n
zOcMizkro&F^boc<HRIE_94kKl-VvIu4R+AiiS+6N4|jE`^DDt($BtzwuDTejtz5lk
zxgp-aZjN5fR7URJpk`A6eKd1!Gd{MK25MZ=QZY~k58dxd=sz|<<)-5CyZUtKg#5?|
zEKmjGQNDN-lZIU~zq@uAF>s<gfx$DShN>;6Z%572V2~xT;+HoQ(@)CmKG<qN%q$|$
z^glWbKK99;uP}mwftc&n)0znI{9Eg9!N9&Uj==$%33i4&<ePo1h3A2@p(c3@)Hmzw
zPH#1ZYw;P+5I!ATY&$X0@Qnecqq66h1amlxB~RpQ>%uawy!y=m1GnUFXvJ={#P}b-
z^Jlg6z}40}d#jj%8+JeU7wTGrUtV#==)%$*r4Ai`&0xUw&kgH!i#E9PS*-t4jy_l#
zd#WrC(ea<Y#>0S}KzcD}`axa;49JIUNeH1KeP?WcGR+o4A9ITK(hacv?Xt$EeFmua
zsr&tD&=$ilnC30w23Yre+UNWgUAV&a2Q$tNqEE^bjZ5|6A1~!>9;Jm-0-9VL^LB6@
z_6?`=>*Gq#)(8blbzBR)@P%4u4}sdoR0%ab%=oM`^BPyiz4kkDT#@$pvPJsyJ$7Bx
z6em}xA6*Wa)$Z>@<L%+X{ZRH%sWxN}a9rozCxzBmUDDh4+GF&m++$NqE%Y7Q*>a#y
z1gtBWJq!zb1glhp7UgR|so>{ln-N}kTuxZeKW2xlq-LCAQ-{hJcgH^;R;0#Cf0Vdj
z2eIVrlQ%Z0BHroaz~^mKM9cSl6%$=MJl~pTcjt~WlJ%b29OnN@L{}$A)>Yf$@Nd#W
zhD!-Kj$f?@6pBf+slYvJ>}_$M5&NCxn>>=}%#Z8N^pHg%s+VeB04pU;@<qSM;A5=;
zYg6hlS>+_=YU~PZtg~=Z<d%ZvuI@>n@^SJ=q5Q8?6$G+rO_hn>;^1`q+x2wI6j?bE
zDn8z7gAz}kih^GvP&u|TV}9Z{d7oGHd*`q<I2wEeBmIP6@*3-3J)9=**Q!4HEo_aU
z-}}?-H}GR@6Iu`TO_Q#N#ZymOTfxHWLip~R-1x4T?Hhe*nsf?|u|09n5>M=7&#Ad_
zU_1MtyyH{9$^NJl1EqH@z*Re<U$C7O(Vs5r=gR&jd%Kv2UyPa~vuxJ^zVHR&q?6E<
zc*QBQvBsw;$kZHPKA(<!(>zNgNA7;uFFr{=c_q5jG{FptKjp^;3#SO@j-zLjc_zpr
z$^R5PKAPg#wk(YT-f<%E?I7<fj&YJL>38BcBUAWQ3cY=QZ<r`cdwy+?$QU_nZT&+2
zf(bPG=vP*W_Y+SJU-Zoi7$sK~{E|1HHOA*BxjItXUy1E10<VsA|0I2~rjO0;G)AMo
zq2|MqPU6<O^Y<Lj43ioGUdvQp8eyyC!H6$%uZRQvZ{t2k43PzOoi2%l5w?uZ@c4dy
zMx5gK`ywaj2f6u7<?6X|CYlB9N3SYW5I1+P2p(tuK`tuXtK49~1WR@8=}GAjg1pCH
zlX7d2Y_9h6+*`=N=4?*E(L49ax~;WaTB8Tayy$|hdU_0$d*3~1;`W$S3gM8Nzc5HX
zWxHH;u!N4%T~~)zNj8y#JDc|Se;*{*2zXDcn9<>9aafl}wVgEHqcU-M{||C|#p_DV
zCp0+QzYMpFdrdZ%x^V|HhsZ#)7pZ~&=birDbooc`Na@wS`a1MsGSS;RHvg$19z116
z2X}Rn&oj(ETn_w69>04(GjG%Yubr-Sbc}bAcNIB5aDN#gb$7I#C|YiSk(hKUoTG<q
zE+~o&IQxqf6Lh<f?W&JGT<gp`E`23;mw9UCJ{}{_kQ<WRPw7GWa%W<uaW6UbSuN*J
z*Eo6o-RSM7t-4Ujnd4a1-$x$zsD5oEKS{QiY!QDYrVA&{8!kr0{bY)}Tv*kKDe{s}
zfNQXq4(imD{VUE7l3s%%$2JO2lO+P19wwD&!`o->jY-B3S(bYC_p0U@vWdl;Q0CSK
z^+#f(L*q~K`9$zd=ZZN}^?i}8iLVyE6-X{^@-K4w`~~;xZ|BJtk!=NS4VoC#ySV+)
zhcPnR-;-F>|3^x=yfyx(s|lva2|j7-3G)2g;s{?K7V2zKwBY9}8sIR!obl!HBzfn3
zyWvb5E4A6LuqvHj1GkkbpSJAzO}3AHRu}MPr|uoD3EvX0j@FTTd83vyq^;XejrEG0
zRR5L_3WwO$v3%bug#z<AGDV%f>m?62rB00}BUugR#vlBfcF&WUDwdXus=QQJ?!QJ8
zNj1cFxfPy#xj=F?wyk**%1;?|b}J1n@#%&aQMbyBh1#-M6dKIFjB2^QS3zu*DxMXM
z>^)b&O5KyWxz{UDm@=)Ydv<YD1)4FQX3@6n)Y}HGzcW)J)X}`N7Ae<NARO>8w}yq2
z;@_T7(w;9yHKyy0I&M?JeD5=T;wKl?ZYy56=cEJ`_~k)au!agIeGeJA^6*k;4+L%5
zdrpeV7_)DhT2#iP@gqkQw(?Vo^0%TcwaHNDp)G7XtPHLWiO~mrf|PE>0mqy6@|3dP
zfg=V>=Q>GNRgvz()P4KT2U_C_lvw2WF>Q7g^vx80diF(xTF5TVtQb+EEZ+4J4yG#D
zpL{mFKShkX;(SB%bgT+>V{6gQb!jSanst&mx<i8Ui8eVlXR1bJ&M8cM=T^mD@$9&H
zPbn(+WTme9G7W0CaLinKi7Kq*PvmBtl%ZPJdWP9@Xi??*iZQLH)S$bKvzzO)9Obxc
zE>K-shtg~7J3O7Qj#*Q?LNi|l%BfG~%$F5<)D5S4-_<;t@MPI5%Acl0`O8)Y86+A|
zZ%adybE>ppIBg}sx1dbTv=$~u1=1)38#`aoCpwr{*mI~mR+Z{L8^-5#nogZQ<GR+3
zt`8Z_=F&`Abt*q;QyW_WgX+3yr#`?*1HH=0_$8@9WmXK)#Y&k}&gIh|jqlQ74f_7I
z!CF-CEQgF*rV({0<5_xK8WR%sw%;eDbSRygsNaij##C`_Q0|-C#^4{Kb)KuzrNVp<
z$!}^mrh59Ae>{Gff=kbl#%8Ba9b`VQf4gW*mGGYoEAh6#pTmyZBl8R>&pVACFWwka
zjW3S)?)_<n?AqjWChrX?&t~oOGY-a7n)#}A9+3o6C02Kp_|T};q`!9h8Y5~S@1AzE
zc|e~Q^5@Qd8Z}>egX8NEgQAk9=6jUwP(SYcaO@S0%Dk3i%&AYOhD0x~=1{jsZ$Svz
zT2G_etLHSlRvJ+KYp3tE&e`MU6;-pZ$7$5g@Iyhot=g2y)*YiKuQ;G@*K5gb{7d(U
zox1;5Nu9bkywW~&!2!WnQi?uw7*MHMks=o&l&D$j2TT?16-ba7<Rq>1Dc4r=6d@!{
z^?d7i{#|heD!r7d<@|N22S!(h?llTggY~SN{tP<ceT&VE+YW6?P}VphYYi)9v5xz=
z<0%KcGupLU%|w&Ba8}_;dqOYyn!e($j-&(VJ<kh57u2Yo3s3*6Ec{NCdzH8(q}fAJ
zYuk&MdKGFJ#q!n1cb<?LG7uJ?wZk4C`ihn3lqjB9)0%zC9Qf9}-G|M~4qCk)$1D2f
zsp8jtKTW22a5YjoLGYO^?&@xP(bO$X9l4_KDSA)<%I>F699i<T-9#H(u9O6I^RU$e
zkyp#GRaGn0GY3mPedL1O1rcg>M_;FdjxfZwrx|^d1PU(1NYs}IP^U9Q0uwI@<FK~d
zHz{ob&$)+E+@5n$Q$D6IJsN~@`}+LA6NU|v<E)!51+h|GZn4kOp9y2TwTHi>lQllQ
zXY1n7nj@#zh_hwh6~>U!>90-utgy*^;+c5J7%5@mDAg7#4575#D{j{<@n2NpnqBr^
z$??f#V$oF??oDlLzJ0Vnk~ZH5ANd;c*k6_CHZ@@w6dw0Ep=1GbW{92psaFKgzNLry
zD}>uBu~lyS%@NzPdjFP$J|gAU5O?1*A+WMbR9|^!2A1C~5ka}5gzL)F_C_T_@U823
zS)^`;eYwrz-2Ib8*5vQ!Mzuot!qa|JFwGS1d);-G3(pcZV&nfVj0<7JHH+yyXM+CN
zui4bMd1Csc^CG8~Fs`d@3{}``0zNf~A4m5s5|+k8IqUZdgXQ3gpY{XB(9kC~uJvZc
zjhkUN_cjS5N^$b!l>lS7a&F1UoMywmb{i!YYY`~@`}~$?)Clr!b*_0)9Pniw^E>}s
z1XdGDjpvUV;WC%>-0r`euwyS8$`2L=+rHFB2SFn+GNs~uk8ooxlk?V7Z82m8BnMjO
zF)>it{i0xLK2nR<&V;jwqsu@mtZ)SrK4Fi}PDb(}+3a5Xrg3rT4u<-_9A@Cj$@rS9
z0s;t&UH+bBK?3<{Yb<82FmO8cuw~s{LCoygHKU>?g*R>yH<H&ep!dbqO>?IZ8pZ@w
z0|TV-X-Dp!1zrZcUUKd*y(kRP>^{ZFMj2Eb_tWZmNk^hc%l#vXA~1XSQ+dom4i*c!
zv+uI$aQ+&gwkJsx6J$~c(Ibz2$)j#Lhw0#b^^N^Rh8S}F1=rlmP(Y?gDkb4g$AMhd
zHKLEik@TgwIonJLGlj0^`YY(za6^8>x^W5oWjS@qe5vOqG@ZEr5OjpqY-KUBkiy5n
z7Y$4+6+}c>SKnPl$EGvC9nM~sh9<R<x7t+|Wl4@L=XTO@Ox7^CpH~))^7g^R&?UZ}
z;fh+8Ob3r)vx(n1Ib?+HjD2@g9k=7g<g=d8@yPH}bc_CSTnxCQYx+S04&6WXYD5_5
z8g`EI`l5hz37@scM73Zdax-}NFaz(J`M7#ql(5RUcEi<m+GsY}FOWIP0AI1^x?u}t
zG*j0juE*=Z_;UOj&KM@#4@h6^)Lr89s#s>ieO+95XfLX&V}#X=?<!Tws$d~jy<gv|
z2Q^pEtYafa=npFSDj=(d=y0CZ9PRqhYnI^SdSMJsEw->$5p_&6OJYBj7+`ty&cTT~
z69h~4nQi0L!0#K=$tU~`(eT*iN6HIR#KiTboEp=>-?IDvMGhFkH?N?BeaH-LFJnh4
zUoLsj%H)Uc5;UA<)HM0aSfHI2{-Zrp3t^@f`Rw8}Bv@TxB)M7Q4$tJ5%j>nF-t6M5
z-D$Yg2ig77=dGY&Ne_5AppE)3)SRJ(Ay)jdk$=}}4UOb?EXQ`}fW_+Cp*2nhxDshx
z)%ni`dS3EZ%<k#nt@cp|qoq!F2^aqzw+v9D>qm#b(}C`y@8HG+UD#-ATwQe*P${Vw
zZ0^v3x6Qqxta@!+Jkl0z&1wt52gz(QIXXyPDgAP+RTHxEBganfum$Uv!jdXm9qjE8
zys)iO9e$yXNw#^mcv!*K5LTs)QC8)snbWGcAl6>z`ra0dza8hImb_9Zk-e(XPZ`#o
z!H25GZ82K8CSQ%Ig@)s4oW5riu%OcRbp5m~a;suIilB+I%9?(oWLXF`zt*hix5dZe
zBBd!~4NNc;M*nM;1VMeeFZt9KDSkq1iZbfpTX7rrc8S61D#<;WZVU79tMx8ps>mr=
zbWYhR47NbyuF*}l_$+xU%m1+ocAC0JrpNFj@E^JUmY^-xciHGPoKuGPo=@JIyxeHI
zDxeTm3k2HRu^Rd-fsDVZrR&BH5%tj>c>#c<#KfDBlL`oPk_(&Oz=FC@Rug{&ftuaQ
zdZC--5v#f4lFRTs@!)XtI(|O_Z-VoEZrRG>5B+|{&aJb=1LK2<+yyoWJzr}5ZJjjE
z{JQ8S{^B?B%GYCU=PzrV*lo7<%P~pFy{&e0m7OBW?`U$&m{`M?tUk?b7sn7AA!wmJ
zNw^N~OFR@~h1Jt5^DeIvgSh6aOA{X^2**8h@}jMlVC@&JV(%A$OiJy5jL;;(_M<&?
z%W_Lx9oVp}D_<D*m;cu?Ts}#JZ88$McF+Pbi@gW6WQEYze6`BBa*AkJ`?62^g*k$H
zqPebV2|~%{Ync|;H1Y0Q`@R7Ub98YZV4Di(N3Z6-F3F2Cgzgjm80jQ4I6onhnmG6{
z@|H73!()zcTr0W!{>W0FZhSJ9-^_zuTdvQsI?oexk#_G(+)bgjIyytSi5rI3w=<K2
z7KpMJ?bG7VOz?LyMs;Y83zL3}BZ>DGi6<rE4Ij-+@al{f?+*_yD1Gg9F&AJ(xS<-2
zwZs@Tz3xFPe{dp6oNJ$i8yh48Sw&KGjWII$dLZH^Czho<-1&Z&9d_5IWFiZVaO0Sv
z$;x<6T<#LDs+Hx08g1XbFNQ`~xwDqulEw+HWqAW?*SL`6=33lP#YEi}<?g5&PTZIl
zI>2SlgAx7DX7-LulpOKt(-z>uevisMw?}xvT&-|9`~w5a4oANJ9m9p&GSkCpb^K`Q
z6EjKN&p_z1Q|Gozb7L3N_QBa=LHK|5f0@J2z&RUXVfrg>@C8{6)lfoMQRiQ?u;i-`
zI-(=a74yKo)h1o-uP{mtzn|!JqhpTiRQE^`FD#qpb2jLSg0H^lMlK5-4iB4mEw=Na
zoM+F!|3btNDZ45?zl;W_pIvPY(gJ9&tNJjvG)J3CbfmrZE_H6n!xd2pg4q12hC^z#
zB(}a&ZrW@>!`4n;zMFDF=u!4~+S(-rz2}Rq-lK*%P`lsnSFkV|)yvyEPsu>0)aLod
zbA~vyF^(nPTLiAryIbCFm&0Z5)p}Md4Pp0S=6K=~k0ojYc4#^;N3KW5fRLymJgTg>
z%$*j)h~<uV-@O!3PAv}*o-#mx!yD6gP2y;EYo~o~Qi4KK*|L^j1{iO&oaI-LM7lfY
zwyr5<SjJSDs`41ZD)sM~J!w)95Q)BZnWl=&&h163VF;CTKMtRhkb%Ly4Z^0!)L`W3
z?beWGi0QmlJs+xNQA)G1w0oxx^2<~<O^AkTT=7RtBIKd&bT;Rxl_vPFkIswv)8Hze
zvuwGW0zM7)o-8fYLQPnF_w_e43|{;CKvz`>TQ}bJxv8iF*@9~AzHLkI|JrNgel2BK
z{KvsVo!7<dJrgH7SQwC9^uF<Ksl%F%z1t=KPY>K%9n;0@8MxHldwSJ+RTSQf%y-^u
zfQ6m(Edw{0I8=Xpaxq8^Cf_gFhh`drW%HH#4>?9C{@Cjkk)n>fQ|A(NJ!yDkwCYY;
zoiWbjR<#D?X~4XH!qdH-hB^<?<wur$OzvI!Vp)wQ+#+c`8#U+%SR?x{$Jq>{yiS!V
zkF}Qg9#Y!2nU3#WzasZko1<lI?bWDqZNz^P^ZDmV$L)5zfTK)H-0TxLU!A6dJB%(P
zJvtpXz6K0EDYt@atILq9{StTkbwgIarXe~?)U}>z1GWi2p4<*ym~z<2?YE`jk4=r!
zk6Z#rwm$k?N7uucTIi4HKL*hDWiMBa0b)jTSH9Yz2gBBtkdxHMaFlwshWyfhzQHyz
zW0M{{ZJu^T^y*-A&OF)WrY#h=g&xQi*F&a9j^lrawGgz+uXJpg9WEbidY_c7i??GA
zzSq8}qa%IcTGmn*2;|H$KmO7|;<oF4r%hGSV>QXKA>9s_w&xt@6Vt&+aGjd+MI{K!
z9e0Q*umdA$?3tv1Hn!FnHBb`r$Z>Yjs?D>5TXWH@!Z%IKD+Tm&x=P_O%L?tsDRwx;
zi37i~HQ?c&?YMtN6qQ+V8#=byp>{`EcZ!2L*kszup6M=w813QKR4F?M**YjuJ*tqw
zx3V*PxDoP;+x&c^E!?fPcfCHMf>=S1K>Z?C5c7N7T=&{yY(j(0PD~l`DRxmhZ|4Xp
z&Ip-Kep~!=-JfR=q=*yeMvtCVogf6C9@#+V0#9ug_CJ0uk3WZa&pl!c5|=tHhE=SA
zgxkxSw>ZkeJJ_pYzxWp-f0t+AmV5&8cjr&jen=s6KKxLATRV}VI38v6)&|CLw~xOn
zmq5Ess!8?=lDH;dPUdpjAZbCM-nmc=e|uSTWcY6pqHzyR2F$H7{5MzSNUI2TYDt_r
zyxEuhk5k?2Nr)AUB_awH<%F?Oe(Nx05=NfXblhE1VhP)67mf@KL7WfsRWE&ifjHME
z*D^3^fj6JyBD!|-K}#YK3#s>suE*kv5mpvU`&@cKWR4sCP756K%8!ZNJ%6LOq?qGj
zaLC@WSDbJ+_~p!0Z6-D>wL;)$Gl<%s;20fa$6>Ex?k@e;glg{H)RV?$@KB1EX?JGB
z(JGysN0yyL+Q7Apxbvnsn<~3MWPk-F^>6rBW_J_+;#HN+r%X^4r~XVgc#*h79$}r7
z?<EZWxJO2Lm>{ZDHRe$80#PWe&9gtQpJ4Tp>(+T{jKLRk#_o;t#Lp&%@WR3mqEo(`
zP0`30nVuiMs)qg{{5O^tl&6jmv~Th|Ec1=<q;$ma`@T7Xvu$_Z#HBG}q-&VDOTh@=
zy^FpD70(ji`jYKF9-1JeBI@E!W-#&ktLTRH2D3ywTbfSajw#}Ug78$5G!v5S!kdPF
z%n+HEPndIgP7^g{It^Y~3|#B8ed_snhB$sn^)4ASORR~y)w-a}K*ocFonf4_glt>G
zb?%FQh&Qm$@>t@|`caL(CtkCJeB7BneELhg@^{ZTXhFx3xNDz}49yas2i4;k_KU=|
z!OK2&Ei{xIT%N!0_8hTyxLAVi2Mc~(y`k6PO~Za#caQw3Kg2Tr&>z<v*^qoVr`UPg
z5bHC_bJB0m6LFnm!+y2wsAjaR_>X3Y^tiIfu;IT1-QwVhV=kP?iOE&{6k-6s#buGR
zKK}^O(huM4*}383I6b3MtB*r|ol(JDEFeWxxLiAVaNgVGL938Hq+N^4N`AATbo-r<
zh<AM0xx%5qCP)tklX!KXg$)~@g<O2`PXHJ4L+KN3x}e*fkCWGCM}L!w_{GgaC<^c4
zi?z`OTbk9wo&y}9IL?yHabb*2zltcR)B#_wA&vf#6E8*AuS;+f1$--QT&$M-n_(6a
z8^DdTTnRb#Z^V#XdN?7mRU3J(UWbz9cp>z(@MUzk1e`eEf6ofmM&?Q7<7RVwIBP?Q
z?XZ!8Cd<ZyGIHARkMCf4$S#PsMI}QHJsDgLss8=$qZWkjSnu9vBZTa?Gr{cka;W+f
zXvbQtg_k#6egwS}Mn&we#wRD2<37!Pv*u+joUDFv#z|Wg8^w(My{8rNe*U`f$_y?1
zzRcjhz0{BA8t-XfjWRkKkJoorY9Uf5^u3j~1S;+_k0qC>;AE9VX7{uf1X}z=YdR&d
zxhDQDkC7T0{NHaM^w36U;x5aiyVCd{00030{}h;aJk|df$L+m0$zInT?!ET>9IjE4
zGNO`-D5D5PB~c1VW_!qP7)25ppSS2sLJ^@zDVfRM<LCG9dAuLzkMn*!Ug!Bd?1jmT
z0?n!*ecjDea)baZ6)Y=nvSgq}d|M{(Id#yL;>wnLtO?PsyS#r_$pWehzh-MpfLeFP
zgw}l`xSS1rH?S-Rht}3!KIJ9CaJAlG&j%75`J}GVUZ?=paWY!l21#I_L4NuXqd>!I
z@!69Tim)W`LQMxz;Ds!kOUjxS__DB%c$+GN_%@D6q3u*4sycRsvC}~B*KW2Sw^cxZ
zS*Ji+od(QKLu+(BI%Md)j9pk#1@=>q`_4_%;E8Hau}Z2oP^}M}T|cM}@5GDzt+VLx
z`9C-HQ7K*U^q05O#x>ycksQq|k~X;dy?rX!s0TKKPWnVKO>hhOJ8BuL4H}cB@oD!A
z;L2HtZx@}3@aanVN$L}Ah_jQ+iHS1;Lv`Oghfor%j{jZEiqVD^qd<+J7!x4mg&n5`
zk|F+HMkYyC8!q{>V4q{nKw%-uuu+EsInp=x)_c>TA)lq;hABW+$$(XAH3g=8@~~%K
zG*IJfv~E>5hjw4LflOvCpfX=J_$fyP#)8G9@Ul60_Iz~nUZKE*;$oY+85wSd3q`dQ
zSb*OaUsvo21>)%gGEasGkSN+ZsBFXl8EzTUcP<Jfw}u8J9Z-YM2W=`M(-{yxl$`>K
zWC*611uh^Z=r)I&-Q5g08{Qu2y+{PQa=b!jfE;|tJE)a0$^a|zu|1`?HQ}0Tm}kcu
zNocZhR6pFs0AfyrxE>DyPI9RFcH9t#$15e@6muBxoZ|Gh+D#pVZY<<o)8~SNftqHu
zE)1}I@@j|d9aS*<vpkU*xrXUjc|P7gX91sQBK%J`DTCd6p>!YRF>LVjqr%`T7Lcr~
zd!}|(5l-e;Y~`29#IQ>Wdu;eDK)h{;B~o7j#K-#c?VtX_Z=y377p|Mb!23z60_#?w
zTeWQGZJ)wBtFPQ_<~IkA<DZ_LM$&L^IC1><+XXz7;UK1;2#{x%IuuhR0Y9!OkcwAU
z@DF~XJYzxtSAs2SN$sNG{WY-iSMxgl&4ZZAPQf7g+PROjWMNo=#gF3{6C#M@Pckgb
zAS&i<i|7@8AfKbY%6rCy_||>zX&y3#c-gZ&G&yeg?Rje^@GTPxW}S2Wdf5d0-!R!Z
zE3<<h-LW7)oe9a)51mqdX$;KA0|!SEnL!H^na_1(LW%6G!OusGK;XgDT6pOyCZ1R7
z#@D-n4->>1Sv8D6zC10lb7dZ@@lR{NwY-ieeNH`^d%_U-)tMd~{yl|h5r2CoiLK-N
zdKZeN-WUK^&g{8?s!>cO`+T38;Tm3=eIj^-&j1>Qp@8^m0JFN~<TMttif77%|1I>^
zhf!Tm>C5U}SdS^aB(h}%ceeksg{xi<#CO%j4ouc#8}VgfMs_Q>efp8-x$1h5To`kb
zh3^`^ZU3o11+&XI`_wi+ELj({H7@u)T6%}K%f0_C*0hWt68b2AXH5r^{cJ3`lsoX@
z@3o7St;_hIH}QAF19gB&I>|WUbT580ZoJQmZ3R!gdf-a+pf>nf^&KnXAHaiCl_jS9
zS8(3J<ckJ}wc-0AyL{;fgZQyD{l_0TR`FO11IL!{ba>gl{n?TEVLU?U^hRIjDt_nq
zVM|XBI&|_Mv`r+A<Fg_$Xy?~8JXcW~4Ghu1OQNjbZ~H%d;`6Ebv*H^#k!=?j7EA-7
zo8PIPlqozx@G09>OD1$%dR*-|6Ak*`@HNzzPvZmkXUuPGVMfBigREYuRM^GEq!PY;
z7Qb}zoSmXD3o?{_n5U{i1=Co!zP`aZ+}27jr9_Pt<(*cu^pDnpXxYnWMAH^<hdS;~
z!Gmn5@{og@X$=Lu4zG7Bxh&x>{@jzc73`>S%J|!FCJL0>x!1Ajtl-z}J$mbmIMMCc
z@%|e-$WXVj%fFPih6g|UD@PjSLVPj58&cCrz;7(hiaBrK>05Zhu2%A(6UW=t4VQ^f
ze56>;_Y)J!KWFz?zm^Xbz9`zWa*zn@yp#?v0Tz^zu!n18NdR?z|C{04q6r>6%Wi!~
zS<&UNk=N~|Lg?g#&~80zO}N*W_6YA~L*KTF9y!7zf-3&hMi@5{;Aywhs$2*M8s}%|
zE=7u>HXWPEi~9*6qi}bJ0htSN7d(>VloCg9J(X?yq6R#s3pj)b@F4%t!Xe2{2^1t^
zTPv8mnb+Hrggj;VP_GZ`pV|s36llIh_K~LsC^TI1s&*DY6t*XKZZ^uG^!Z6&acvFw
zGu5<KbXW*^-|j4AXWNPbZ~yL`mePP%br+qbN`%oyX+XAhfIMoYpHEbi)PRd;j=7{N
zh$3O<vy&-oibzp%r=%=R16=KHs&W^JAw$Knf4}^c5ZAx7j}3krU~AR&ZN~u#^mR(g
z%V<;?6}4%Y7B_0Z*01vHb0jI$7*use{E{jXBr0tz?jit2K)Jtw5=-*89f~rjbJ{#@
zD@`2*#MT75a%h5`eEg!Ukt~wwoBH%~Rs-2!7iR>gHDSAX*^aAWa!6`U*DK+@CSuvx
z)AU)I1W~dA4DaI#=-_*I{-mcQ^uDJ+H1RSSGClHw=L;3lo6^1UcGoFLRyX~-u%Q;5
zTmR62uPdR^?t8UIbg5|X(<_(T(y4H?*UwS@fC}0%kt13nLqqB08n$O2Xwc$nee&R2
zRaE?S?849l4b3;+q2E{029C-TLf1&@NKi10F7%X+`iYzd#ZPtMzhw{312;6#VO_ff
zBBqT5^bWUA@703`V^$*?(*&d)a91NUPa9e7NKX4oHUQBBU)eTHh{%skW!qebHo9L>
zy)vv|1g1Z=>U#Z1$iJk~=?&6GW3E{f$JI?>dAWgACWwq+)yKEUQyV1*cDiM0n}I`s
zaM-#f1tl0B7al01BQE3ShZ!;e?)}pbFZ5DSyu!9!uc~RN%;vrqV>ADoKSmk|XlbF3
zP3+u3=c&kjfjhKg*c|THJY);d(?WJ#bcdVEWHc`Q<Gn?$1=Q(lw(t2zL2;G;`367K
zM3-#@9w?hIV7KuHyl)=`X?D9`cVtsXhX~C@u1^_YZTs<g>RB>km(4kL)ma(o|Ctmy
zGRA-aqDe1x4+$9=-8T&Nl1Focn5Yk{C1f*1`vvDU(N)WT+~((`P?JqU;D=cT*zLd5
zz4sUa{j>S<=(MZ|V%2LcxL3~rj&EfuYOmB$cO`ds%U3SM;wUfFb%p^_94+?wW2)#L
z?Y{TO`Wmj2yQ176$pB}8HT4Jy6=Wu8)M8&dif`@KX*%}U0{kt8Sh+w6p)~J3ANM6;
zynjbSxXBhEM%brs5Tt-)i6*X}sDH5dy01wxh2~JN_{}NHb1NcP-RQMHJA<)K(X6D1
z=1|a?%iGB-gQ^<ZwC=xN!o>WvTJAjsn62#IEAmGI3CWoGa1qzBrBH9bU`+t|lf;s=
zc~O*B;4ShxjS2h~iZ9)E#~?^$_8kF)QK#xmd+B**FnzE0<7t2yn2J?;JI3-OclNP<
zr)g$b>pz}d6K4v4?qExKOx&nM2-{jH%mR)JDP0TsCJ=LW|G5*xY>3MAIMr~58S3sn
zolx#J1~&D*kt~MH==ilC2Z;I1u$5Koc|V^q><Q)DtI)NA2VFm;F}R%>CapxS7Hv0z
zgSM|fuuje4#Y$EU=X;qTIU<q7n`j8jDs;8l=aV>3vTwG@2_{I(oumi%7(fYw5bVP-
zjPE^GIxow{1Y;OekPp#dlOykvD^B#|2`3YedfIPbYOHH;AzB}<dCs#7=6u3$AB%_)
zDqF|$etl}#{ZkLBH0FCXpXB3NL$|FrtkyBhw5s{5mU?ieN8(OuA;RpA+%pwpUB|Se
zK78&k(1n$}Ppu*|?bt`@-}zrA*Ra_%Egw-CU3k}!{p4LzFUDEVT+uGPju8b(Y5%V2
zfDixS;rN09%<p6Tm9b;%Sh&EOVH*}5IAR&Rx4rTY#`pSITKeod_9v{eWZ}Fvs6MZO
zgK?u+sME(bqlyh|ExknH=L#L1yyk=Llqax=nUh5^ZcLCnB%eQifetNo_t(g+lh^_G
z*dK2fn7}jkRX!I79l}=YHh3>iV`CA$PYET=&=Q|TAf(Vh*uK1xnKp}wzSIe?xyAzF
z3R&GY3N!%qsF$9<=dhz}9@IBiSb=Y_X}i};D(Kg_xDzrLu!M>`W2u>JQ0ct5^Rg`!
zgd%r%^PO12h7{;gEI-+y{!X>H?*}bloT;%(-MNB=IXD;aT6021P+YtSj}~y>V%n>+
zZ4JxH!EM&txgcHaO{19u1(c$-T@*YwFwSfHL(awXz^H%aG2=`!=oGztaOx8igj}jB
z4-Vu5YG`%W@nsU+k6)y%u(80E3EBwhiU712x(GPBlR!g${Ow5xR=DS#`ZD8~5G>2%
zzv7yRP^xC(S5eLeDbyZP^AlkRs64Ot*@6gPXIvk5nsPwdClg*emna1ED~!uFXhOo+
ziv6EooM1hcGQ=Av2JO16gO~Pd!oE1ibxIL89IUa<D$tYw6%A}|{~`f)^Nv53$lwKb
zGq;)3(~{t9d*`po69N#ec#Bo5`C*EssObGqX{dXySj^`~fR3fC(@|_fuut*T`MKpS
zpcSxU$_@lLc$r}Ff*}m4uO*@-K@Q62Gmh7j2yi*<<RDYJ2pE=zOGWHc07vH=b1vEh
z*mup2zFk}lT3aWRf}bgZyC;#=(v<*@WX5y0=ZnMA^<poos4`?|<Wg=wAV8eq#ilzR
zlJI@(oY(0z75E;iWj4gA30o40=dT({!|GtRgPo=tkoWA}=9;bvB@=fVxOKL`yqLo8
z&z<V9eSV5F$(so0ZoWBw)?q7f?BkDIOC^A4MLR9;2nh@reWGD0@?iVz%^bs>2&c@-
z@2{nkq5n1Ow8N4D43U4AxKqgBLeeEL$!USVJ~OA5p%VB+e?L08Mu9V<+VP$tROnMt
zAsWRf1FKph-;={sSbg2~(>js{w-(Jj{QFdZaq{R)zAg>w%9}o3FQr3qnc=fsBQ<EU
zT*%a)r@;kDg)9F=b>QBG-_dvOsKbHLZ=Ak&=}<dusdf2*E)*S?ba_6h0S1RYk?x9X
z1G!l!*k*@5eBb6WD`Bh&r#LT84{UPnlT+d`k7W!Y!RuV@&j2Fi*7Tej2+{_h5<Adm
zF@~QX(s74NB*=3s<j4hWAZ{tSnm%s=i$6*jcK&48Zd9}HWdj{JNE}taM$F)0uFc@A
zJOu{0&Ju*!>2R+;;I80NfNORKRK0Ig;MAG6+T~>`Otl4x*;$)IsQ1Il6HOE#d_7zq
zdsquXlnoN^@LND5>F!^fQVN9DmqsfdCPA2dT*zXn1qjfS+_yMUpq_b-lS_mEVFgbr
z==u!MmKotOe?o?)4zt%EZmR;dA+^Fjg#jTetT*(^Nl?R8p3Nhs1bH#(;_u#WzUOnO
zvxq0c$Buo`0rp!V@6mn9gDni`mG;BFs%wI-2m6KI9trTx^mce(%7CDi9U^`AH~G$T
z+m(=6A?QCJDa3Vw0j=Va-tVW>AQj`Djt$`i#dx3F?<owJe_c&q(@}-cwyV<@`&O}c
zi>2Ki%@**cS1(igq%wHwtL~<Rj$uUSmB3VY3pm{Sy*Z^o5f&YDO1CkWVeU$8O*Mn&
zP^MWf+VWc-LT&#IEPnlg^SzBTX84-JrN;O3V#%@))FEMcYT_SG6-{fTi~%$*kD_KT
zX;{YmZ$7y`hevDWDZD!Y!1Hul=CH2>=xl4ddiUZI{?j3_L}w6#O3AK$?b)KROEMtz
znfxlA^~a|2*qj;k@9Sc15)+22`kc4p3O9M*sQk1ezZpz)y~s>E#}AiZWnaGGvyQhq
zwv(dCrf~4QTUC<*HylkpFco!W9p7*vq)WM&K=eK_3=XqHw`}0&Thw*@$OqTH;TU7^
zmn^jm8e@iv`yX8oB(CAMPG_#C<3@0OF@53D<25YNx8FCQY88JzlhN6-VF)PnilVE^
zBDVDL8sT{R3ZA?#rijJH5DI3$FmssAU|x}0nf(LHxO~5ubkhw3DB>Z~#6SGS)=s?1
zmt0-KIX0~BzaG|y*`0s$Ii&tzUgq=P#x<7k)PN!d9}9ipvJM(^O!$tuIM%ZU1})-o
zk1}MVGxcCL`tk20r`j>@$S1qPzb)XMqbg}{*!AEPIuqOXxdxlw$TBzaU%;o%s7E#h
z=z;-Tq1!i^bi5dq#@<w3z{!P&hQfMvzy;5FuzjH(r;Fd3jo?_o`I8E|lI(S0%c$Vz
zVDoldFgyD1cJT!~qW0|JKlR$Me!0JqytfB0$K<XK?_R(s1qz?<!L*^{^U2<qKl^e1
z`LZDKHw$>#4(iV8YC4ogOlX9y58(Uh%>EZ07IC$|T9M2^hcOvg<^MH^zm}U&osnF^
ze_YM_!t);u41NgwPRbv~^Sw~FhrlvEEAwOE-7XpgAeWTkBV)L=9Y;Tp-U@!p+mA=N
zj|#n+wbQDS6ZqrR`P0$Kt9YESN~}Zx71*p#qmRcXac#Gmhz9v}{1D5B%Xe6)u<wEr
zE%Cz?uBLN|+4|20E-u~s)>c;w9>kA|oHw4q=bY>XLT8xJ<p4*;^T#P*bBlLbscIHa
z&>3^TEy9B06zy!<o{{0QB8$Y5!#uvYa<=}eBP+t=?58~@Nw9O7-yn#25x@Az^}&Nz
zY$$U1s*aN>2{M+eBzQh9;dY@Kxq)UJXv}>uttW*D`M=(`AHY}e_lG{F%>Uy=%>Vix
z8c%3K5_xO2X4e|t^h;6Yd<!=cE`Q0=>8J@e^KWau;%7oR(vA;uzVf2rfr6bfhyX(c
z^QBL>F(a}1KT3gH1W@3wt4<H~2*4QjkkNg_f>bhUzsT4Mp$C`TLquL{z-V*zElV*r
z)OdpK+L<GaoaCb$T`V+UPQw1)>@#*W72NU3chd`(mfB8)^{7KE&+WRjqnv2SI_Xg)
zE{1+YT%W3lP=}jE9d0?c+^Eop+WYmg1kxDH6wjloL!!>~r*HdtQ4)tp`0fxXq_2=R
zAvCK7an2jz^7r}C;{JnMUtO0$p_c+Y2~BDco$B?chEoWsH(Sirf00Fp#2m-3yix=C
ziy3=`4+^9G4H}5WK^{FwD0b7XP=n-MnLo1HMbP^@S(R2B3aE=X#9ZI42F_1-wBnA5
zp_t*=)e|R`Q1x2#frC=&aE3>xsY*@)eN1ufuvk?_%6%Q^{dsk8Tj;vYvn+|cPA8u|
zmZgel<_rIY@@jy8&cDQwWocyl@<?>LhdL51c(@~~NdrPX`}kdyWKnm_Lc%3|0vcgt
z-OJdVe}c)9_k)viDB@YtPr3pT={YBJh|g()EGe6j5UhagdY0_x#mPu{C%N7ykOa*g
z-PN--ipV<Xt5T1U7CJkqQ7@-Y0Un#E{^l*pD5*07SC6J5Q?2;LI|M2?cfb97C`JXn
z{qxZN^eGy$4;wQn@uC4IdxB`|vMRFo9iEkOrla$X_WKK4>40huiTw;wM|~X==lrF#
zk(*$`@Y`cLkf;3f<>;sea<JN+99yQ1Zdos!SRm^`<479&8&^&A;E_K0yOItvDsU^f
zC~E*;-j+Xj@q&mJBzKL^Ip`p_-yNenh(<u-P9?C8k<jDk9>*gLbr7ZPQb~!u3H*!w
zW<p*eqwJeIC`oPFs3KY>CNInkhH7_Ry4y)XKVAk3Gf8NpL-r%p>b9GHRNy{xI#3J6
zUb_)?o|BHmJSrp~Z8L}XUndeC;acd4EPt6+0Tu1s7c6~k)7OMcHuv#nJyB=ySeQHo
zjkOOgn@m~&7nRO8;je|fM;Bz9FKePWdgzO(s|*l+w(XGpI|_Q3T`9Enxf<H=$(4zj
zX8^VISjqTDGP*yuu-~&m3Aydzb!*kJ1gU>oN5a!cNFZ7$XZOffG}gT!e9_tx*tc_u
z`pXc}slT&wJjD{oH_%eQR?8BU#iim{f(S@C$12!QS_oNA=6D_5?0;h`^U)(Y>PQoP
zUG#`!L-{Y|70H<lpy6Yd>9wjTTY+OFk#i0wvL(Np(__F1<)x?pI+RgC>&~GHi#FV%
zy6z^a#sZdSyH0D5C?dg%;!&s20qn-nz~rMQ7GUEvBay<XfUJV<9Dg}5gSmYNA6l6?
zbS|=wmIlb8<o$@!xW0m||7&mN(=rFIV7+&$t5S&G+`-YX=_$og=Y}IUy>+>RXF(Yk
zN59|MB$@HB0!znugqb?P>MpJm0aYSsuDa}O!VxyO!ep}hu_Fc#XeYPc7#Bq2*B=_s
z5ZQr0WNG-;VKZRrsYsaV;X&5E$<A>x>`>MmJy&$b6k3XiqK7u~u2TUVwxqDb%G{?1
zJ@-sNDJHgjK#T?PI+=Q%^J0hZNyA2E{~3e5tS$`|uHv7T8;r)p*umAVXM5#}5peDZ
z7cgC#!yj_U*;JOWflwGfyS<?iv>GL5uFe0$+h6|I*I~;B9%B0IZ5Iq-o=cqPsP!N|
zUf9cGKg0?NvEQGUd@ulR;gZJL@GiXUd;Iih5-S+e?l$_!8^HOg1->tR6?l>E=hhTk
zRyfrum302BKAgKcOEkS)i(#FLe~Y%T!ujfP-<Tdf$e3R`JrM8(^AvRQkLO^8vnNOF
zD3~5(e)Uql?e!Cjf}Qrs{H(x$$~4Vqy0GWJ_;<yuL)bUd?1BV3E2K9^<(O@HE3HkV
zeTF=aX`FQn=?i6rt;PvA43l)AE|uA1cf=%CekjlU{x?>r(RZGn<<fzbvKg5h_%y~6
z<y!v6W77xO*czQ;wZWD8ODcD07CYd3KSZ5}9o!#D{4nR)<mDQx>ly3wSjduEbx$Wd
z98L<{^)iJHmkR2xE$}U2y>f<qL+?01JjBc@XDc0c7tx|(WLB^{cL_~t-#FnN373~H
zqQQDn+Uo+!8m9b!zip2cH^{ykua{%c;E3Kz(2?C67`Mns;qM3@ki5o@edwh^gt!8a
zW*rkudb%Dp7T|-js)dJU;Z(@{9FP{e$ydYIYs4RZ;D;zOO(92)3JuPd6GkemP{FZS
zdaGOzF8BrPJeH^hlII8hC7omgX33sI8)HJC|9kt)(NPLeX^AP<KC^?y4rTqb5+cyb
zMf`7e(`O&vtS`3N%?V7kf7yK8MWIWqc<1kTWLRSz2p<~Zf~uyY9k<?!LAQ5qg^mpw
z_<a0y?q~CWtlpIugEkW2^2pCivWo-~S35<sqWIvA_eu};PZG$CP?d#H63kC@;oC0@
zK%_^qL*g50criisjM5;%`?6cUb9;rLL?jN+&EEnOF?Tzj{w2c1;@9sdV}!x_W>g}j
zek<Ib41ZSLNQ6Us;ktRV2)xNzn0U*g0ELI&S9w+uVc(Lf4m(K<Slws?wg!rD_~HmD
z_X81Z54KFeV{s6AuJEYsk`f#zJd9pjB7(4y)8uYU62h-P5a$|DhI3#1*PVBeK$Er5
z!f8%wlXueAIQOW6mNmZtdp!xFUZ<4sHOYYZdp{-hubcbWHLB{94;i+7Jg3l5Eenkg
z`P=FOG~jI63BNWo3he6?%Fy^E2fID~yTU7|32a|3w(s4c1-m5!?=eRy0GnrpN6jlD
z6u?%Q{_Rvi^=lo8xr*?@?EK#uH!_(2(8S{fXfO_zaVuYx;B8l=<?tc}*k$kE9Gs)U
zaO&tnov;c7d>bA43sm@WfmbVqSsUt;R7Im5Rbj51Ba(ZL3b%j#H)u=O0nSdfqdhm&
zpv69<>QV{~%1=wACCBQ5b#~I2`)749Aki0&3ece>r%ePl^njlrkeSX&06C4LgCR%g
z5dTvDnaNE9V53%R>uYL)L1NK|j5s<t(<;R^8AcE)93IK4z4<>?LC0D{>7Z5S7qOek
z1Z?B`qJ#c_hwc{7NY>c&-k80t)wP>`!R~W+x`PDiBnOY>do<7t{H<Da4uih}I<_(H
zWbnG8J#X7eg#&lOT%RNYgfbiOI2DjV#H~T5I6({WFB!Z)cbY?Uwe$_+Dl(L-)@jhh
z$xyn__1VK&b9nqP<;j6~GOWrtFZk`y1g5|<Y7ZhT!1`U&r$Z8C$l5r4D{#9y9LaCc
z(jByb$>>)iH$6!ZNEbYVh$;|#D*aI|fdS@L&pld0h>*RK5?wE#2-{qKEN<DsfW6XI
z{mc%Uu=`W()lX8gQ1bfbx%kcc4(%3!S{4F~mdDd$Pf37&{4m*e(;w+qFIC=2RR>E>
z|Bkuc!f@z(l5qBd1*99goC)AjgHtZZ^X?UH5FAfDu&clVMxOP*{u`nK3fBuSB|c^b
z`9>XQJ_ie+eaZMI)U5>f*Ay(+gy%8iVM?Uss5vYcCw4ZQDT2qIJzJdp{$Q=XVvoDR
z&B43WdP|kNJV@DeoS?bYWB#8qL^rt1;r%bln4g<0JR1;XQ_B8?i)GY2*>(fq%Lk{H
zr3=z<^n|Gwm(u`ln!8stOCDfjBVEv~RRY`>XQsagkKq3U0096043~L0)m;$BEy=#`
z`*pe3l9agD?l)yALdY&_Ar;<2LP`?So=8!V?7I||+#%VDkfl<n5GfJbDDVAup7WfU
zbDo*+_cNW}1Nz>$5iqB4#Mj?e49xWZG;i2A%Sd}CSD+JR3S89%&qV$SLwLhv%)R4t
zjPxY#jw4wnaM-S1ceF_m(rdYvek#v1E{e<_wQV(qpz)ORS3dIsaa8u$HSKxEFAM7B
z#h*sdag5`MXgC+_sBB6<(mltp<R94?w$TWJ-KGa#x^RF_5MSzAnK?$^f!}87VTO>$
z^7ot1MK%bUm{jicoMlAJ%ABLzGk}8u!cJAvEYKYgvr*gR3!~sATD@d3fP2;R$HreR
z6BiXeJH`H*W`y0+LR&|D&^D)ik6-hP5DZGU2r2l)Fsu~Luqf7p3zsj-+$dfoj68#D
zGu$T_nK|G3!#MOH>ug4ZaKk*YIxo-~rudQJ7cX=mIgk!_S{C0H`_2-JzLMz3`ks;U
zCHb!Ha~iy`XWLHuIZZ?wXgTHcj4=G$zSyVIY4Eg2ud7vclJM4jrTxL{4MXefuO^;+
zU3fa5pvyb<fmo@xG(WI9$e360dXy`v3tGpBdQZVI;;R&K-t*f_M%vx3XzF<#D7Uvg
zw%2x;@J(Fjm%Xl+u`eh_GJ;D7`b`w8%(RDyv=_}ys(xJz`7qhJy-Ay3rHZG;wdN(U
zUpP<9VxgV!VcbA!l5-P`+HGwPf7C-bd#hTBu|H)DM=wlupVfvvlQPC5;m?V=-m0Of
zQ%#IDCxUNriEG1N%B25$!**hI()NMPNCU&+@dAHL&PFgj71(f~vW3u{IK;)WuZ|I3
zcz+k~hK;}yz%YGW-$aaz9e8mivxc#hYge)T#0H>ycyzo>Xe2nIr_+5)%NSdOol}BJ
zv|xm`T)j5*A+dLwBQ8NMpHXOh>>Rva4|jSu*&i0IBmQf%*WcBg&Dj02Ked8?J(PK`
zOQN{d68eo&c&+*(WBAlmdFob8NZ27-p+c!4T3MnVaA`&{{4*m0E0flN_@Kx+fuJfP
zbZ$ZQ&#nK61v@9ZU!59o_M^@NRoMz+tzgdMh?-QQVAV`wi<ky@T9rtuOOz2p<gGJ$
zKhg<)p{<Aa`Kv<`$I-YmMI}T^1!vA(wVQ+&_K@uFse$6_U2EGI#l)sBQSxcLc?4aZ
zqrQ(%4J7_%1-!8-CN8mYh827-Abc#+TKe{?!prkgtAl36M9H$IhTEGGf_%QST)Tq`
z*JpR^JC;>UbkN_eN$;y5d~O!i^sc7@uP!;`n@tIk<eYZgJ+hiGHLU!Yo<RXc-}ujd
zJ4*@oVD*4knRkf`hy3OJ*(qRe7C-x?w2aUZ7aKPizDG!>d9ceysKD^~Ol42!3gWP=
zb{v~|J<%yOx|~0y4D#pp9bs3iBF1>yDkk4NB!-4KHK%=*;nb&T`!Ty}B6-IGdAjg1
zu`Y0L#Iv_#$XM9zIFeICSd^AsZ*WI~<ZK_RyNe7@q}0pINwvfe>-&;c?9GI{X>~B)
zs1i8LJe%d{xkqGlI`@VQJRv&IHSaeLPy+o#*XE|Xb%em|i^70`r^L2~1g(l$68QYB
zXz6(IfOw<6l044UPFyNCRkDdCLBb=G7<KgqVz_`USL1Leq1fuUkCm4MGT(1oRX=Sc
zl1ptAq*c0z=qJzn!;KUndL+S|Z4im8?A)#@{5^#F<ak0$paP`u-FF)}*i0m<Z5F;%
z)l2Ld{8swnsyqzV{`zvsu!SftoX3^;mjs_?>*Isna-exm!I_2DN^H!#K9_!SfVeIZ
z_CAG24ziQ-S&j#`6R%`a>7>RXLVWXC`K9f$uvx9gR%D=)sB#!eTC4YlC_D8qA@i~f
ze7nB&^x@<#f_gCUeAv=kB38&`kL!pugw?pHUf<F~NM2ykEMXZVMn_-YlG-2*r-DtN
zc+T_^E56oE&#T`P$!;fqJx!E?#SoUf+UA!;x9i$c@wAUb!R75KHlva-#Ss@a*)>2+
z#T`5)P%=Rjf1vHSVJZpriJuL7L|zecLswr+tb8JbEr%w`Z%Y6@G={;F`G(+~(6UXq
z{F!*+7_=*zR|0n3sBi7u^NtAgC8cE^`bv}>{A<q|Ee`bdvESt|Mp$%;#=Li&Bie2`
zTJM+<16p93<o@ON#H>I!Yq!jIf-Cq&&|!Zun6&9wzW3=Pk*J?BA0n|xOqVOgq>qTg
zKu+^4!8=LVJ5N|NZ2v)I+j87~?IQ|Y?y?VdADALa$)VYMntl-jGIHlnOo~9<{h(j^
zA~VEYU)Q9;W6OkM($uN<heV({&)`t;npvXh!>ve<v;T<mn{7k)a)^Nc_Es=2m?P}N
z#HFtMW&!g<HERlP3d26qdAGsn@5G^%!`6%uHc$@WzV1i}Lu%sl=2Hoag!0Oey7%%L
zI6Zv4&}~Wx=5Nue_qYBaf`3UIZE)rU*DdNLW7mbie0xUW4x8UZ^2LC{?nQ1;-<Z|m
z<0b@0he(q3vMWTcZEU~s7$2xs@A*_r7J}-alAX)OtAv9%Wr-#v1gEyw=L!B2gu@U{
zE!xEjqowhCH;)R#w*O2g?sN-+@%W@@m@PZFHz<$keh`H%--U-&djw%;$nU#*4s!s@
zPF5pd1qtZr?R!|sCIoA5=K9@y#|a)P%g1(KlY+~8xVtYK3xVIQ&Zv8*c|c}x`#EWM
zS@3eqczPgP2*!Hd`kPPiL*|+>)yUln(ALa3ct}GSXq$Ix7Y7Q#xrUc<lu;7wv3rzU
zHYW@(7+qH>h9cl`<@!{79T`|V^^L8TML=$FwR$%p2CpXk<%Axq08Lrx)Uulxc#r%M
z*dHSS$8AH?UFNB<A(7kMNmc?1dpe&Aev<;v$J<&;oz!9H!~1VVT%|xnXON{jM;44K
zg1(eatb-fv-+sHP$bv<&YSqXk1xQ!Ce>*-$3q;1+#0zgKfW{F~pSkxWphn44R~t7%
z<=?8)CWn+@-i6JRKZ^`jj7pNN!6rEPr)awtuL_vwh8(?fNCm`ga;@&%*8xEr>c3PC
zRZu;9yvink3PSc_puLU;C#BOQgGV($NV&b=DMStIbLhN#lj-pIvRA-=v<)zE_r{6M
z2^#R&RZ{R%ogS<PoML5@-URWY4Rc<Zny@;o%k?o|A58N%6$ee}f=y#y$}wi$`HS0P
zcj+5IyN-iAAB#Suc{=>%H{S@PXCW>2E(RdC?aAAAJ0l2jm7M-5rw#qfUiF`+^}*%c
z`YhjvrXY2C+&lAyHk3S^irO=-2c+hxW?rGqp#5cAYQ6m?sI59;IKG(<W`7rcTq)fG
z=F?{tVly_u#Y@JrR(!fJ>CJv4L&hAwMy#P+y|xLKCQe@N_tb_N@1lZHD+^%r@MGWY
zvI%qrvI50RG@(akDw4d;5==uVE&p|CgO<7Ifp1%>Fp|~xSF+9$u7*ooxy-H&k6#8F
zHVr9)=)S%7HnWysJr};moOL54u?*%HbcsTGKkv4{SC+sVytLjlZ#^hCmP^AhD+nw^
z#u+47Lf7Pg7?o`u_*Npvw&F&{<~=;-7RweeeZ%{ei@q8hST48!lFou0uj4uGc3Qxm
z@~a+FUKG$AoOLZ0=Et?E(Wz%L&7rpZ(b42YGVD%uzY*#riZXkjC1(wq!TO8Q-`nF9
zLBBL=ZS*?{G@gwZP?Io&*Lng8qZ?&_<I*F6PwvvFlrvH&=CuV*Y;uZo(GiEDwSqn7
zt1_4vY4>odVlzBHq^4PRK?umBlv8>CWU(m9+<7<uX5hQaQN^CY1(v)j@2@1t;nQdt
zkAFu1Je6m&&OT>>>Pt-*(<|g~HMHnm^9KU<k}UR1$1M=1SG7A_Z^>atv?fH%n8MNK
zhcn*N!vtq>efNp|a`?Juz3~rjQ#h|pla)Es$EfQ6=#Z%*hv`|l+xU%5U_wXo#8}N&
zMtZ@92h&5cxaOW$>!sty@LWWGQ|_Oij7E87**zCz@w5i5|6HFD7?7iSr-WH>pe^H-
zjiW4f1Ybzpu44omTBHwb57-eO*?YdC$YNfzxS)HEA!M&kETyq<Vzm4VmplBjIP$uI
zJz2^SNE2cl-AmjEVLeBs_+;@v1v%p5bpzP;7T8wr@Zmp8#ZT2_S&T}n-CsjB01buY
zmgCZbD7#2fGhybvG}5gZ{74`4PrAtsRS2O#Z1HZkELq&C^DQIaO&{`n;%cHE3**9R
zH`?TiEH2&(wo?D62Yk;ZZH5~}u)K%=`iUqx<T!=f`b+iT(7EW5wklDqd>@**iANqY
z*BD;Q@zVp&P~p7vY%y$hM>f@3d33)wcj~619*Ar{V@^9Mj`g%cU;hXN%)9m}a(;pi
z>+X5=(Sjr}=TXNX!%7jw6_wX@)zV>c;}+FUYe`)BFt+Q6GzkrzoGil6(&5^Fq@=D5
zQW(7yy}|e@34Mab$2Nx0f%^H4S(~IZ-hUG|<S4I%$JutR+vQ3J_0`NhU)g2QZ%F*;
z(-I{N{rSGtVLKhF{l}H4OEM@KMK+HyCF7HKZ-x$9(czPhi5J%wSv)p>$8N(A8PltJ
zugN*mp>5+u;o&Jc{OG1z5gD$GcTX7astBONw|ff{X*2Tpd&TKlnXn4(QxofoNu-0q
zv4`RV3ksM!uAKj`QUyaMeUG<Q(BXA{Lrf$K2@8K8jPbIe;N-2c!l&bO;H~~rKc2#T
zk3Tu;<TwRagi@r=Q1!r|_U7M25hYyM7bdV2NyWnJNjG^S^q?f_uuf#Q5|;0@saX4u
zid{*LOT1lrkgMBJRX`ylzrI<>WV9+)?dPdb*4BrJ<Avu&%E-7)Ka5r~sfr03G~-Ke
z=|k8h_0al_%ILTuz0QBL8pc{byZK1c0K6{U6DqA#M)%ZGd7Wf6G^dc-D4ERtZnAMg
zKurbf6%MTlxu=G&j}3GkQZ$6*M&Ds-rV9S}!1=hcLk(;Eox?ts8iKZqM!>p%D%g@Z
zWX|2JhH3PR0+B{WP?xB1-PMhPAp*Vw5;xS4@p0kR=VwNs{9Bv<*BuJRn>)slJ=E~`
zhKh(`4`a9~TKz2M0|nPs-~MCxTNP)e#TJ_<jG^Sz#k%8yRAgtrOfrjAMT4^&?4|aZ
zz`oKeR#O^Ov<_fP{PCWO+#k;B227X$ACGm_gbo$29ZFn$zk!N0kMIO<XH$4s;$*gl
zdA^mi(s##R3Vw(gs9mlzh12?TemeYAoIP2*mU=-2pZ<2(dWM&PK)Gsxj&~Fkfd#>)
zB4x}DqaJCtBY;m%=SzGxh1vf;48{X88Wy%`w8ax}i2ODCur&pjUa_wBwJPCO?H^lp
zatW|!U-~3Ft%7N<thb)+C*iUE*}1}11aLP_yRC~+!9}|ip55Jw*x?n*Hc(E$zq&2<
znXAfJ^2VrJn?nKL@tsVw&LY4e(l<LURvER~%-+j6$>AF346)PE1V~l0KH!}r<64jN
zIw>fFda2{bN2~})+E>>Q<wM5(q2sQZcGB4MMkD(%KLLu)**!DQl#ua*5oW+Dg#kqw
zO=Yd7(D`;^AX-le-9OLt>%Ngdf4@PbA2tP#yIQw|?vT)Q%b8e*H{xg*EOcx{-V~bU
z=RSptlF*@5eI<rf99KMBqs18}kYu^Y8Y-ZO@8mvTnz0kZf%JKOnx_ebeXwDPU{yeS
zqdPyHn?&)uck#B^1!EXB39)u$lgEEK%Fp>+MX|0^D4O%MF>D^YtFa;?hvn(n;}ii=
zwERBtc393BROYt{bI@e*tygwV=C}x6%v+QhsWgJ3dt3R7f@QFuC2!2-l?WawjVXG)
z#Rx84cwF97EsZYPYs!2-iJ(P+WLm<YAz1MqEm0AWMz^@aw|#=5C}7)q`N)1l=+;f^
z=07fl<O3{D^E*V5M^aA9n#~a29c-+BvPKHKJ^LNj7l<M(@;-~oGJyR{3X0CRBysC8
zvD0e8Vz|BJMcQFK1K2RS)}zW!63OjFN%t;@VVsi!`R<@TD5jS3m5NB>db;rJ07)D<
zxXye|i`It@U)esc83|my*tUHCi8#LAAsrM;(ud{X4`cB|5~#3qys#`v0?W+Tv3EYx
zgKX}SoMvX6b2`3aov|e1lHK#sSUqsGHq?n`-Xrj4pt4y=3T+<5&B$x(fqy604_jv5
z4-p?yM3$tmLo#Uk(+nNP`h(d&Z<oXX=anB%r=;-_HK*}T86ARIe?9zhm04%J)wz@z
z8Qk?lw}KH)2Z16xH~AluXgI36yu$R615y@~MNB>l?bvveBTxzhWp!@W$jM{s8pY88
z2|8R%70cTBNecTC{XAr>74Sh=cSzF$4F&@B&)kWY#`-%7buo#G*qh=PJM)SLPAyJv
zQ{`k(yKQa$!2l9Y>xbCAYNf%yIc2xgFJ!RqFiVS|fD-z-wA%|d(m*TVT^#>qS+w$P
zOLuytgwdOK>q|3e&?GV?8N6E#jd(H$+XG~*%V9kd*GYqkD=Xw@TjY_-UwOPoQ5jz%
z|J%kf8f>Z2QPtm|fS)4xj~?k)#`vYP2Ci&$5LS%Xl%T4Je=<g6ZltJSfTq7p%?3Is
zZZY>HiIZ>}e<i=8Aq9(uZ+cRL>G0iT&|&;K3B8MtIr)8}pc!jp(=5{$4BEbAil`_d
z_qJ*Y`*TzbQ#8z0V%3AaSGX5aDwWV!(ek*Tx+;$UI#yBWqX!p09yM7uB4cXMHS3&u
zRg~R!xNcJ?(--pEYrnUV@g&Cvg|B*Q$gAoitqb~aHRJ2oZU<%5F&(%daz_pKtZB6E
zM}0_S%b#i=QpROk3(x3pHT>Bh{d>mR0F=8Qr2TSLL8H)mb91^n=6u|HarLbM*a$dq
zc=f2@t!vTFu`cS!W0sO=8fgfb_6{dMnNo1%T+y?2Zt6H=s`WWZ*a((Gw9HTEQqZqx
z&MVD89hGuhwuUn2(V-yXqS+4$ehk#rEoJ6yys7tfhmA2fPhKoAFruP2-;l@FOf`I)
ze5~4+sq<^kdmeofO2zIiJH|C7)bNnhHLtcP6A-a)HI2VO#Scf?@?;}bv7x>=w4TKj
zKJo6d4$7ut@9>;mM;#SAGgNHT;!MGGorC@06)Gl~dQ-dJQ*hV(aNR#92mU+|7oBy4
zikf~L!$*Ir;BSNfIM}QS$QfOi^=B&;h3);hAOBUxs|9z2r85XHe;>9`#!khbXJmOh
zev>gsXT9d;7X<wAlyn;|qhR14-`*c{O2~sIGXE9{$aucSMAU+UT9#7JW2Z<+?i@=k
zWe4!f+OtQmo5>BHuf@VT6>-O-BJ)6IeDp=NcZjtLE(=bS3l7O+W5I)^t;~ChcoH^p
zHz=cj_wE!2CJ&di-+0H_OMp*rc-#?+GL9(EJDXX`;Ie<gqtiDDn7rW;r*)dl<hr!j
zxVus)oBV7h+?#;uyvoi?(@HpI_9SARl_cIy`KEY6ga8uHm)<Yil+gd#Lta&G3H<ih
zASJZH6!KrSc={ES@K5AvJJO;U`fRcE{_15461rdgM)^o6k!r5m#Vv;S*Cq&O{xSh8
zITK^k&k88@;x?<Cl_>gL*8KVToC$2{%TzXQlSi*hTN(qZL{Kc=RuL3UKrLa^(&Vlj
z26OXhW}ArMjnhv$y2_2=JZER!&MH~F7M!aaJ}ZnXzo$MG7#c&Xg7YN`)6Yz0uj5G+
z#>Ae>GLKu0pqg_;^2bMM{JdY7V{f%Ej@{W^`q9w{w%Q)qRV62lHx4)L?`;&ua8V(N
zm!pQDP*zv;eV-I6EBas0oD|0VkZ)a@p@wi`jwCJfLK1Z#-L{=7f`*bSY{&l@z-3$a
zueQwpvMmhn&WjVl#x=W5wp}uSa-MRX)YlT&JfYEEJS~EUPYc)mVRCrfLGz2n$0cxh
z`G?MxU{SQKqz0`r^udR>_D6`31peV_{NudB^pQ_|4fVV9LGNjRX$qeNUXc3OBathH
zJYnr?PyN*cf#H$lo8QIJfg|ePdRK8oSF0O%TMxz~FCTLFDvtl@mhF~NkU*um;fHND
zdhqMAjXJD|qpjhIuW?HfIBSqc`L)dC-l=zXyowT7VShDO<eemn9c#K-Q$>g5QH4Pl
zX9=_j+Gms3FNIcy4WwQB>5%eHxu^4{1m5y#A7p(ijgCHxU%WNx;4vX)D7q|xLwnQo
z|9+Q2`SjNT>lSHHa^_F(NU$U(*ELnTNXy}*$NNhCCp38IzwhVU&yq-Yj#s;HCy%e!
z+6r=9rvdafTz?oRh1&HKEjKPJ;N}NWi{jBVc)h*PNP#Skzpq3`?;2Oc?Q34<{q&^)
z;V}N|_K-Ac$sZj%o=ZZDA|8KZM;iR{Sgz>1A%pZ7GI865$;GP1T(Pz^__@TYtr#JT
zKi|9MJP{&eo3qB4%}yE=$JOV&ahJp0fg|KM-DG@Vcp%?;4-L3E@Bh<c*0&=k{6p3S
z=Da&!OXfO3gM-`p#l-Cu(BrjgVU&Xk=B$n26)vFx-%`-LwYMT}`1bwIc@YYhW_VSO
zjM6}%evFiFM8fupe?KdGC@4jbH0vkR;Z)`Q*jvv@7@%!g>2jKiWIL_jI!xcZ;$h>z
z>Z^ni93ify2C6vZU}7!aONWE82L(_3RKi?aNxsw(Rb<<!x#DiD2Tf5=pI4qIqx7!t
z;^!mOu&&m&_I9lvun0D7o={Q7k0-hRD*sZ$7f+U2%nbD5H($jE>w0CZh+D3_9iWaM
zT(*lDb?8G&d-(D@OBEd1;xxVgfjYV@@86)d+W@*PgPRXCbxCXUf`jOsI;LdIFt&0S
zg0WIjV;^&G(cvuRJhN5<t<6MkhnE||gjM;q+YAb}s#zQD{G*Nu2U8!Zxf{XQvx)Ut
zDpXYX{I8(6Lmf}0$nQ?$Foq+|^LD4Bskq*bb*MI69Sy4Y7v8Qk2FkGq2Z9=?c;~uS
zUjeiJgr{*LWG55Q(Azs4K10Ql#o5k2cQrIPaiHPVHxszeH*aCdp^84G-%V?-sbW|B
zNNwqHQ*bxqF8{!#iZ;TwJBA)n(f#FBN)ro{Z@C}rYG0zFg9x%bZ=qn{3oo7A{|KND
zOC4Q)M#ZguS%zZ|RB+-zY>`730Rb25w{V@M;>(ARgFfddqm_o%LM;z~N{!OKRXP>(
z59{i(#FMf6Wa)hY6@a?a$@~YpDR@^;{K0xJrvA6T(Y(0{KzUIb&73Hh(ADaxZA!xM
z)d-DrIshdyO`)$-1y?k6PMl=+m%DdNL*Pc{Sd3*K%GFiDsT0p_pAd3**WzILBN9N~
z)^r8`E6PZGNw-OMkU_q6ECB&r0QUm<qWZp&aV1HxEB1^OazSKgP7eVWB-Te30U1T;
zwq=>~5@>s@Xn8h)06Fc4uE#Db;l|@3XH1gBF}b~1s9K!>cT0iE=5Z1ptRNlmu@*y!
zJnA>d<p1|lCkx9BNGMg8D%)fticVXevFYwIWpcs|sZgpSdOel)-{>QPJuKl4u`?!+
z#S?#0ZBiav6uAF1mkDF1cVdF>VG|H#&x<*5PY(H-{#_DO5yo$|*Dp5wH3oBCpV5pA
zSyVY`8tB_Bgzv46wp*Mu2GPKEg2`uO(5|LVb|g^<gD!*^yx}wko*{X^;&i4S)t>*a
zX0H&Y@o@V2oHc??*Iu4uzb}QSGOAa}`-PC8|4h2h<dFNm<<eWeN}}KE%`JCM3!yIM
z@h)1XAq;b9v9}sYV%;s@t<z0HNT;=@HIocMZ>_XaO|Aqc|453N6c)xKa^LCAr3O&h
zl-vB1sk7{l)lJ?+31bKGyg1*$0G`)9vGBhuj?+7?MOl9r#zUJ=!OKo2cd5>V=X#4H
z@2!Xows;Y&v@8iN_R$B69}Z_6nS9SbKob-siQ-PbLzhqdVsiTxy)T@<#BkxcRCrx4
zbKgli5LlD02kK}49@sG<h6lFkM?_r_!!xEbl*@X0U^X`6Q};;>`TwPme+G%8)1}Ga
zBO`QZDJ^yH`zMCVdnV7Y*+}5?-zl#dsdV@vAl_l1A&y;I!!P4O5{pA~ueBM|!Sk>0
ze;0zqQMyt7={^f7jF^hdUS#U|U;VnSxCU`ddct^t9@1E_&#k%UE)7IgzQom$C2+5C
zlV^Oq3>vM5c1JRG`&)5h&Qg{HCOB!>XWo}Z_c9-~hn6%LnpqD^s*-r=f?Mg^6*+wJ
zsKJLrjs`wb+Klj4N&I86hv&DW0;<m}`A+`Ug*fkcbB!pb4~e<0@vm1zyT<~SOJln5
zR^Cpf-9Q?N!oGZR29vLcP89a_>O$3k9r1;qssDN#b~G^cU!3FVc50U{*yJa<$S=s?
z$79?>I`U-v5kwcb@lqFJT=QL<rev|qc5_Mm6dC`t#P&{1=)(41?<&z*IrP+}Iy%-V
zqpbfCyYe+O$olo7Rfdh}Pm3uooJ`IaF)+Q9xse8HZMB`*%8Hodw@oPDjXB@4p?^&F
z(V&*}OfprCgoEryb$Y2(G^=$fl&hhEnO=^PV+#p|wh!}kf1_e4|BBvaE;{@V00960
z6q$ECmH!*Y?LCgYIp#U`ILA4*n+lmxR*?~j1`;LGS5c^_BqSn58Br7w=Ps4eP)cYR
z$;fPoNco-LzxV5YJ<t6a&vm`8*Q2(aY{ea-jK3ZUo;h4g!u9!zeBFC#P_Fm5d<&Nf
zs??6=dWVuRtbahKbA$$RD=tk{H&t*w`OD30K27ZS*qW{vLI($nuyA{4RXkc&v{mu4
zCO-Qe&EdU3hg#`ha;h_`m{sk2^09;#zSMe9KtE>!ZH%dGo|9^5Q<ikaGe!&3_qBfV
zHZ_IXdxp{HWz}(Kac|}8S}mMBbCmvU$`nosinf?sQ%43PIKQY%3o~v>wCb0d!PC*M
z>Of@;bY@vkc+{eWXKX(HtP3!QmavTpQCS*z|552Xxil?g`To5|O~C^AbJ^~UPivql
z<z{&SSqoLm=PKCyE#McWVmXFN!rq;$xaW!{&eqqtm7TVPKi&d85@96VE<-seGDk*p
z4ZEOibSp@bYuIgYjD!(!@<I_(WDG6mTfFer3O>CPI(t2Zg#A9PpG%cU*euf;CKhB3
z`<vS?jPE63!7i~Q1OW|{saWt4d~Xf31*wuXOA^{{`NJ~tSq*<Z^*VAx5umMCOT6Hh
z2HyU|V)&~<6+I?yR#&eFAoQF%znY_g;vaqO?RTqS-}#)kx3>eFr;Z9N5H+wZ)_dlq
zmNFJ4{~oE@13*zAzUj<U$IDwD-BuY^!r1Y;#F>2n2mc!gR%cPito>)IpC&6H-x<Yp
zo}B=`8AEH|eAUqDedPMc^>X-MP_yq_4}i(Z|7<O8s-h9u)`8tX2IUW#n!3^ec7au?
z(svc4H`z)1I7*>8H~nj-2*970LU*rHRZvGL;EqkM1hPb@ygTsB8luJ>H<raIV_k5Q
zUaPb?`hM%+9}lyJb-$eGZ|)QE_R}8{)NWDST(?iEXvGQw#tXPJS%`Rf#EsN^Uj$QJ
za|orWR*+>^*f5x{h$FEA)Lrigc%!<>;~Ae7P@*?lC)+5X=vayUMHK=j(9?zPpRxo|
z#Ye5bSLBcq^-slvCX5WK+|2=AONg9m6E5wL#Wp`Rm(%e=sH^5M8+O71wl3vfbFY%Y
zYt1wz9v&gwI2NfI#byDE{z)F*<<iJ^b#{Z|2SKziskiG*G6$g=+jqH5Qn>lum8SF=
zL5yE|(CD>l24lA`3FVDT;>k<Jx6aUnaM|L@T26u)Scu<H%+!{|Mb|QC!FnMSnfzoe
z|JM|Ff(8ep(j~Axre-NOP#AB7@~#g^HU;0-D+XLF5-3SOU_+B9pqSU{pC>$~@Vcsa
zem+wiuiaDcG`mc|2WCo<RoN!M>!Q1@!B`wkPSqt6^+ix~T{$^S#RNPpWxu}rDTZMS
zn>&`@h+uqinzr3tIz&3#ratNr!<F{fO$r&J_-Qly(OhRb><b=snyV8--?W7H3hrWP
zYO^Wy<|GZ`I2PW#sTad`Q|0Q1WN{4o((C*@od!`OIm(M&V(3_~DQlS^fsca(GPW4d
zU@~~t=gTiKtQ=yG>Eo3|g$|psf{(`VlQrMooH-{eS>#EIm=rn>uyC+vG3yEeeb>{(
zQFGg;jV5~1Sdu7y=ZC#9ocu9=@Z-EVPKnn9X>XN5Vg(1^CvIa%ePota8X<u$hfk$u
z=E~x<NyH(mZYmrarakKTErI@`KJAI)a>%<W>1<IE70d=slqp@3#6I(H3UhV}_(!Yt
z>e)Cdv~P<ZPIQ$*8KI93HyRc3*$I1=dT%O}F<xA(m5|1h*#U%H1tQ*!t$A5zO9evP
z#>+?NrSa(Y;=*_1MBF2M$-&Nq3d#a`(FGr5kY%?1$AJcAtk{0STHBOa|Cu42KOl>a
zlX0&uWUAn9LT;s|9TgU3e#DJW%HhN?X@k&iRUFhfAS@6_1=CYUMHoB^C>JuXv%^UZ
zci&%*E;vbrT$#=6N+yap7T?8Fud9wvmjr9_TBuNW%I)UeSS6&=+UD*GYv7Y6?uj}!
zW9SP1+cO<N#8>(AxfOF7$RV<GG}+r2IInb{FyT{1BKcwOwssQkH4fhq`M?-%g%4UJ
zHY%gh+Wp^h7s=>ge|X;=LmF^x-@{=Pu7V_`vd_=GG%?OQhTE)x1}WA#PtVG#qKjSm
znRyN^d~}U4eVKWGHfHPJPVZ91FSq(DTMD%BSf^|-&v!a(i@5QqGfoZj8~HD|N@}Aw
zBQ(dL)CBYyLK_(J%=M6h#@ZvbQQhu?!TKOmaQ`4bUwU61)y_LA<d<q={>{R$F|rwi
z$z0Mt?Wln_4P4(as<m;x@yHRaB{MLbeN>(BTm$X5ES@2p(#9Vj;<3EL9IW!U{!OwV
z;kQJS-ASg}_(dRPeM-Is*qyr~)R{{{Bi}~}TN|~II>6D8A8HBPHG6#Dd?2CP{z1v(
zJX+Xyw9>VRYz1?YQk#>w$XK65m`>2q#I@lsfnI}FVEJc5lfEPwV+O;vgp<iAN!jzT
z^O!ZfB?L&!@RIQ;6d#&lC1K_M87>Q6fE^?I-tQV=`b2?m)CfZzd)*&<uG;``J2Pvm
zL?H?NFNHU7M5tkZi{L=?0f6kUIleMhBs2^$k5A)K#l)=(3c42oVz`X#Ha^ur5mwva
zYo*FKJt9qWssMQDaY{_YL<4=g_}I1A5wUM~MZ3UlfNS)T%ib5&QJ6IF$M2&8zI%P$
zgHQ=@Sei@D|BD*7|Kbxp=qZOi17m5B58%DG^<b{L8YVgLKlb}0jgCJ(zcUg6iuy7r
zS^laR)}?!IU9TkSAIaf+>&2YksalVbrGk^*^2yT^;;1P3_vLFcfIh{N5YJFX%QU&B
zZeuY#Q@8P(%%nAB2&--Do+skDvsXuB7$SJ<=fj+w7;A8jHY-R~CF1H<i@BEL1pK;p
z-R9^;D=3})Pgt-?5p7J;^D9_{vC)41(DVIP;KNy_z_4JhN7Lx!-yMQ@tjs$sb;=T+
z@1ZRu_sF5k+6c>#rU1s&+~6_|u!ODZ?(ytNvRG?Vm_v5t#{;|{-*4!#fFUc+87CVV
zEG7)EUVOlZ#lHTBUaz-+FSmc4d8r_c$`;A5Rpa?^s`;EtcY`@Nu-w^^C@zK9!mp~>
zAL2vz`*Yv8b<DwexAK!dbxGVj@35>|$A@muEw>Y|n!(;*<qU2Q35?0y8&Imsk1G#G
z9~R4+!2z?qSyOr9SjnLmll+(;+3v*@tmK$N->Va~8Y^PxBv0;eJI9>At(%xBZVHut
zEM{i0OdX!coQgalh^yTZBeyP^z`{(<wlrQb3}iXEm8V1qg(eR-l*^ld+#ltIkb9z-
zPaPfjHOTZq-T*#8!M_3d)-pQicJFmkOc2Ft_sgdKR|xo@SLrI%m=43ySGYO7Me!V8
zPvPAF5scbBE$h}n1GAs@N&7d7;-BRY4_pmI@pSn&P4_?=lsJ2)yl@xAP_wd5O%XAy
z5r{51{?{04H!TjGi4?^jdE-A1u!-aH9-eS&u`xV3-jHZ@RTN);E`E~CA%Vk74Z)2L
z#!w%Za3txgC?-11dNoT);_t=k!97b<;3u=#vThK=$rx|l%NA02yUzA+V-*$bZ@t@h
zhUrJg&NXG0#z-Tvq<u{&oC<DfVQVXNaSV6=%;DG~g9|ssQf76iV34C8Y|t%^J-3gw
zFUZKDgF!;c@NWtfOFqa|JS>4iZXGQX>GBx6IMH|P1qF^ZXxl$9kwivXPlvIfB3d_m
zXgX3!0a1hDJ8OJWSoSAesHRj2_h)LEWn@#pUobGP@0%3!yJ}3?S;q7WLHVGl6BL*|
zAoW9eN*Xs`->vlWxH85q{I``Wl>!;ElTM|JOs>)xd+E;9SL39#BYI~k5YjRBZCOGN
zPsqoOfALhsV7(*qZ*NebJ>b;YbN2G+Q)`$g@1TZ-b6!uzyD7kGnO%4xLjm1x@`xx~
zspADNdeLSsDlGIwBz^p(h|+!wjACOAG|#7}tvXYo<X}kPHzgu+l~)P2X_N3(m|RQM
zH7ZPp+s%6P5wSMm>MJD$GG4p1T+b(D3_sT9Ro-PQ<D7gTUo)pBnrK~dKACO|5rv}}
z-!`itYtGZp+#{NZcRufOl%m0F5>Io7getm8FYEofsfCRfHEt^~{UYH_%09zBRh(RZ
za*lJGHr6JQV!U?IL0k6x>Wv&V)V*cab8t=@1qe1SsA&TB-tz1GUDZ*(zDgv1yAEEn
zEP0l(Yyy_CQ^Lmo)Un3r+o8SJbx@CO;EF}BDV+P-Fg#SEfq9olE1^{f$1hL=YVMms
z)7y-w8DkP2n3%MFcufZlhifiNmYRdQe9F(UdnAmT4e9vnse@i|{FlYgSb%ZHIPst|
z86%D+H(z?CjeFmZ)_&S=2`kiFZs+!saomEvRZ>D5zp}{Q2zRprM*Cy2oN_X{cM;cq
zsB7WVw3Jh|3fAzq?;J6{m5f5U9A*vNnwTCbyEfZz4Jn^5exANdMiwc7hUZ8^u3fef
zOc{fZSsbBz&X6(VnSHl`uLf?}`tY6Lae(3|{#Ne|WSndKC&&3-4LcovE^yulm=$aG
z`Z`F$s}F1wd0bR6S}yv1(GXM5jVe2I{YWV8xyzsX0h2@er#F-@0=!d_PX5Z!!17(2
zQalWZc-8s3UGzVIZRVegVg)tOa(8fDc8CH-htPT+E&&KTW(Qw%P{$m$u&=!5W$|%g
z?7;m|0Q>*GPq@aap>t>9VT%PR)KTM{Yi?ueymDyk-CR{9-p(W2WJ}<e<LpP>nLgs$
z_dM)HoeIv4{6LKZVz{3-geJ<&9iJ%@KZ9Q=<DPY9F&6nE7`~y%DoYz+v|4fX=L8WS
z<Q%$qh>d`g8=an<cxMf>g-eGoa}klvynK0Zn;_n3sgEYOSc8iTkfePSG4tqf^d$p+
zbc>akQEIV*YM&x?j=S<W*qu6g_AoC7TjsexW%_u}-pf;kBsu(`uJBmcfCv92O-(#H
zX9<<A7E$$gWN>F=?x$HhZp^iAXii(UfEz*s;a)z{*y%PEFLIX)xrqGjc0m>}tIIJk
zAtQxjIS2Q@jpD+CE}SmkJI&#g|DAkOCVyVj-(%?*&4m{d<szM^=HSJXx})T$I1b!?
zoVDi`7jCq@?EbCT46;uqDT)Y)WA*r!^Au%n%-(oAd>g?GGARD2V<U#u@e+YWZQMAZ
zXYzRdm?=~}^fKIjUKDTnTQAj|<-zm+8qEIvHUZbyufC7}6T!3Ii!vc8yf}3B^tG=2
zCcvtDK5RZ!1n>E+eJv{B!_};A;@NL>u=Q~p$kq_S2KwPpnYaAdZtZqCWj`Id1pSQX
zhX`o*XVAx4M-aC-L^gi-O@lf1#uuu$nYl~FWN2%t5KgrS(>jmS;Lqd{v*3IJX6W*r
zPh#ejUg<yV$Hi!1KXE!|E|-A9zczlkyGX!pl~Mk6H;h5YF#^=82)JJC0%zH<2pV}<
zzjd%RhI^kr1s>`p;3N4+*O%`_kxl3^&xa8zxRxfGC5VY&k}zfe>oGChboAMx1Cxh!
zk98jJ4;8^<#GmSW*d)+zVwh{jhzg^J=`XyVi{Rn36Q_3@N@8+nritbl1r%5hbHB3_
z#s4x(WlLkEFxYcP$^Ie=u#v)aU3x|Fu;1vVkxpjLJ9%N+A%FrOzD5YNA7uJYf#|m{
zR9XBqlkm)fOo1NhZ3^4<#L<rJvySs!Ib@Ig?e}fj2+9)*z39v0sJ>-1`=pZsPE2g_
zknS~tE7k%13H=gSQkW$6bV(75?vZ;Fn~cCa@{+Urb4jFmkIu~d5z$k?a(=nO2;zkE
zx?jDOLWdu>`-&WtabRR<-O+L**z!4_vie;buk|d%Znsjwy*}693f*S*b9^{(TU8d9
zZG5;LELG8uhcB_I!wA&9B`q$8%OQ8Mt)9?&H4LVZ?_ZfW0^!3|0qSk?SnGMUdTNt8
z+7*oZj%ZN8s+$rWsIQ25qzi9O1!-V$URGLBBn95(Jvp~jrGzt-*Z0_BNcejG&!h1!
z3gjMm&c<Iz#CV&;sk&q`-fKDJQNheRQEfG3%?M?D-b5U5PS?aC-OKFd52&!3aU;#y
zLIqcoWlmy>7H*OTHTNyXkZW5hbw)%LjbVJzb)Pn_I=(Wy&q9Nd5f7Kb2~|{=%B;F%
zt%ExHIsZjIq(NHt=&7g8YB=w7v!eUE4o;F_Y-bJ~9vh})Ol7E}WM@{|;1ONa(=w;M
zKWqXQ64=(Aa@WADbf4DeA9ZnZu)c>DX$oH}`55o{NoW;0GbqiYhasMx-w2UrAmgOk
z^yV%Jw`az$(_7KS4GA(O>T%`}bN<%0ZB9(iKQ6U2bW0cc`Td;s9kqbow5m<JJIL5u
zVJ|bJs*Ar_)u!!JEkWnl%r;w1O=QoRcTx1!LB|kJ`mJOuSXOW_&Wq5*o{17UF?Vge
zmsUM+a-TKqa11{Bin(7NPEo=g1TE|i-un5U3X``}qJNW8HF2N<0vfK6aoVCkIU*Ur
z-}<#+-!@IG9=Rs8mz#tWDIX&PUjaDWf5A`}(!`t(6pr5>>KHif*5EE=1N$ZXto9X>
zv3ifbiD{-PYHk?u-)d$9Le_Ry1O>>r?DZ>1{fROT6}Ri#ZLxv;a&yh~{v>2y%M%c0
zCt{tR-S7!N8<4vABAq8k1C0xPxn!=%BkwNdI||Hxks~G9Jq_wOC@R(<6f1+?MP0#(
z7B-NYCvqdWOAS3^gcX0MN}{}}TW64z4II=V)MdO@#SP8RGF}gfA)nUF!F%HXJQX+F
zS6{1OM$EbOohL=G4qlJ!sRCFp*h*D-rHpPHAG>+33E}p8X1-w&00x`*b62~G_^2wU
z{?loGB$bY>gfRE*lG*WnDiumt>nOdU`8E&wG#L}7E3JWTl2i7<V+Gv&?8l&Q2p49=
zK6*PYU=3fp8!5LI<nWA7oTqv|2Uh+w@aBxL0;00V{98*|>^&X0aBLkr-VNDKAU&}J
zyNiRZqNUQvUt@gzk{27Mg-VvaRI-G<(Gh~-8d5lHwDMy92`iT6_G;-SSbz?1(@XJA
z37iS(l6jfRie7V*TKfIw(7LlPyXurUM)@e8J$s53lX=7a)9L1L^-yA<)jlzlZ)?!#
zdclhCr;_1uz8QGdgs<(65=9?=ju&3**--HJs*T;6DNL#yWKTUOf@PY&jJHj);gPRG
zUVghw;YdR6-@;b}4Ea2G!=#=avxIVaZF)_>kKgz1H5~$;&2E#9FXh1ceJ5!ub|&EI
zUfKTHK^U|865H?H;lz)8*UqRn(_!h|h(^U;AuLjQJCr=cg{r*{I(w*en5MsMbbKO+
zv6Lgt8^}D^ncB5q;tmbES7wf%auGzTyYZ6VX<ihId*x_Dr9mF|<8S^Pf>=E)!Xd`b
zkM;WxaEUe>!?*j#?@dk!pjw33Y2WJt*!z&YQf+4pQH;&EvK9sKdd6Dw#5N&(aDi<W
z`lujkUc<SpCx|iY3~z8r6VUy}_SnCBr~ry_bi!FdloC39=DvsscF3%FDDp7#f^i#>
zTSf?vc@UjA<wbEiFz(F+ldC^1e&6reDTEp;qHF)?Ouv0z?s(IU0{`A~)ZQx=#>rht
zny+?>qmKRKYpttBa4wJ|G~11U?dnS#ZrzkXzJ2Q?&es}2R!2eozRv_)th{#dHLDb!
za=tZExZ4Qwpk-7wT?F|W-&aRON#m)4fOY%yj9}0cj<Bp}=CWa4`bB0AIKFAzvvk=I
zDsTOzhlq(WxhnjCYmOXJCcd)#d|?QduUFNYm&8!?xBVwy7X?gTxYDLoWeBIIjV{G~
z7e|Up-#VI-5*kwSEDUoDVZpKPG6$<9wvPY&bu^WTji!6dxHAl4vVBwP6XyNAp3uvw
zm8Oir+PerHr<nD|nVhv?Y5ddguPK$Qf`3mW_1-8jgd;RQ+N--V*xdNyX5ejAJUU@5
zzu065MDv&&StU74w>Zyxy;lv#sk`!prwt+TSNO@8B6$>Qaeq0_s)3=Rp^`zmM$jM|
zdzz1;h{72TTE!F+mgl*ycpo<c*`hGhvmcZ&<#^D7TNoK@gX*ic%o%~(jbtmqXG9#l
z-Xz(Qr^%c@Pc@h6N6Se&KCss+BOGv!X?&!GZ4qzeHJInCMc*Ov{gMjy<QJ+b4r$|^
z(t_dIMk+*pv>d;hu8JCMJv|@Bb<h+@9D9<Dp}*wUYG}L~t`v9r^Y!TBQkqNhR1lL}
z7`C6*cB<o+r@jPYo*tGSj?eq$LkCB<uBjSV4SZ7UdePcIA6K>wLRg3iyiwV^-c*N#
zn|m{Bub<OLjjFFE0?DS}x799tX@!LS^<J}-dVP#z)OBW8m_gv)cP1?N$T-{WdO?KQ
zAA0FcVfF`e`18)yY?F^B{`Y{w=cTHT+ZSkN*99$sb1;^{`AHK`JUnevu}cp#OQm)e
zn_58!f2#6TYc2fQ?ewK9NSCPt{SrUCt>MCPmlC%`Ega0K3Vti9gY5iQ+*1tzTH4Dt
zshwr|Zml5A?zk5I*;tu9QwHG6*T1+mUJH#|X?b-mWPG{e@?Ay120|>xg%jvnXk-U_
z)w(s1?PvkZOMe?swJghvc&3R)W=k2gr)v1AYL`{SB^wz0@A|KubWIeH8@(iZM+Hgl
z9J+oFZJ<k7C3-B0jC4kJ#hDT&=S-bXpYE}N`-=y@ZZ9LDmN3nEXq^JqPp_tHy|MwW
z%yahy>NL=v&vQiShzusy+p@oGV!rpnXZfNEb$ly7oRP>PiG5<n`2Jq7fyw~h`q}ep
zSo05A)-$=0bNk4MVi5B=p9)o4qE&Gwpw;V&2mxR0`?pr5Yy)(H_L~G}6{L;q=%st`
zV?leevETqeyKs}O99bE~_X_BLw&KRik-ukS(*e3JEtP!dVRBC6@HQM~N3ZGT=8sI7
zncXM4xOq$g->oq!HMCigqXiW|-nWK;Y=XdlujFv6I%ig~!aqjFvEjqgT-M+wFqX^L
zFN1lJXSH`Pt}w1pVx!78SwREGu+G*sDXio%J4R#tW~AyfxHc46g1>QZ`F#gTWDP1d
zz308e2>y5JknMy8sN5+WIC57UQ#QUy{#dfekaTWY&NH?EiNg3n9Xm1na9Aob_1GdK
zSv)5F&k1wL+|a_fwjzS;XRPmbk1R4M8mk}1KbQe+qQBX?hsohpQVsOVCB}fc?bI!*
z8O*W81y1D(<LJ!^@slrpGt_n_N@Scf1)c3#=CjWQ@#MF>ta7sz#vVU;?n^&RVE;6~
z`8g24A3Ha7g-rZmP;QcPet4U}i&eA6nt49d?NT_d{_HO!{yJl==ph}BJ=bg!@8iWC
z-#SCD4y`d*M*2Qp*QbNP?{$nzKbd)q?X`y+ffZeIv{(eL(%@KBV-DEzpy3g(l%5T2
z81E-l`c9e#9^9PbX2^~6Z-(Q>ve<F`&IS&_3&zmt9+$Wp!HtfKE37SZ9JtTuY|VW!
zV~8%Ex3>pwtbMmDoVbGve=gUhP3Ka<CV<4M#XN5d6R|H_=D0EHz2f70L@J1#nQP<T
z!HuC8Mq~xf^I}p3<Bjnx3M@Xk@F}mF*<Y$>=DCR<uXo%H$^Z(yJ@sQ@N}dNN$$#a~
zY6~JMr7U=`&j{xJ<?#j9@}O#i6K}AFFs_sYIEEfDf>>FH(^X--ctc&MuD67Mdmgat
z_LnpQ-=Bh4-`esqbxC>Ds*Ra@7Ti-sS`DGJK&G8+%a0t&ZcliYMe%iLeAfHjhG0Iy
zR%NqO0Ec+rYkgWTj#*g+ca@2T@G`#G=}(OyO7;%a?71O<)WD}X!5<9Zavcv>BvBau
z$%bs+sV;?r{d@1~78!unWk>5cKLY*>eLS|OMH>G$uhY^FHvk9G%BVw@A~@<6U(CB-
z7DG5OT*1-+cG-#u3Q<LI;|3@7g7xy4BcH4JMb-c!`ybvFVdmE3*E0lwrii5#ul0_y
z8vtGj-WC`tj+0Jv0)whVJaM$CR{5JgwC!4b`?5p=EBHMxR9YzGna)Z&{?vyB`Fl(9
zOOoiI^C@m?s0wzc7-aeK831d7TK!n4G;U4YzT2Zv6$So9F9~TIz^xkd2dCy_u%77M
zdtg)z^%b?N>irF18+pk}<(wSu|J<3gYOI0e-(P;nT{8g10O=j>Ods{^%8%cAo|$Wc
zC>u3d455QhHHfC7gqb9*eBobYH2oSJ`6R{=<VN2#E1e{w^xwC?Px@+M|C#B9b`~R0
zi4(IvcJlxKU&sFbzORiOOK;@g-!Os$D+w<$&#K^;=UZPm2<xJ)QMRr7UJ67e6}kMq
zqKbyDk2Y|+>*3)whin!%Dx9kzxeVP=!|ewj-`yXpk3Y4B1le7Uq3x&7q4Q7Fk@l>!
z<dca3mT-LB{$Dr^tX73yG`-P4D`HBAYM}w{Nb=qoeT5D!L#cue{UkIQI1pAkVu0qu
z3AZC=Ou&0chBe~_8UF_W0RR6Cmxnvm4;04jz4zYpUfk>2^Lwt*FQTN9LK-U35EYS7
ziIj#SDpCriG$a&#4-Hf#GBQIVvRC%6f8c%2dCqg*_w(MA$$DGBVu-#i-%`TXSVD5y
zohXmTy7*=&!NX^ojtQ1Y`Qk6FfOhOgpWR^!9&sJCX?ab@SMT$etu$<)P0nlmm>3n=
zmLryV-RY>!b65l~*n&fHxA5KzR8+Ryy1Dxh4d-$G;qyKMZsxD@2ydZc=>hSAFJ1cB
z%U^l?OcKCFo-+}YNh*fimfo>{iHeoq5_@x1n83KWWHA4oicc=R)hlSy#pp}lUzw#b
z;k46bPwGE?9zKUa%}8ymPm#`6m}5c~ldY(gkBVFDS~HJxXrj%xbJSzDc0iAJdN}P#
z!HI@P-$i58@IB1BKlZnSOQEOO_#<>NveU)zFqaBOd1omFgxSG0o!H66V>(#oIY+5k
zBaaGscWe9)*@3Lqgk8o4ZQS=VwLrH`3e~Px_nEudLFe*V&MFx#?4JngZu%mIm&@;7
z9apr2gmnXR`#x)6OPkTO=|Lehi?4e9tBnbjjNv<0q3U?>1?y8!10EF2jD4{;kqJ+^
zT`u}5tD(TK@U2}x*s%VxgH)mk6I%14PSk!>!QHP`WSBFH<RB><F5L_eBRw?0v!sOc
z9Wo!5+o#EkCfQ2cjsU#acyFCcqyp~JeNEGM86!i?Y%-jM0j#s*-5V9;(51_wOH6-&
zd>EbwrS1d>PG4R2{vnN3-lB6S<$FlQKjI5vakdcgK_Fc0lO(2FwZ&f)Zzo@EdH>|d
z8yiS(*n7LSQylx7y7`W;ZYE7r>g$^ST7#!lUx~AV7`ks=8(3)DNX}GU=h|at4LNxo
zF&?Kya7<^iIsR}X`L_J?XiB&hv{+%Vq?Qm~){RbIJlIVB-E_MBVTC0)a9ZUKU*$(#
z!xolx&8?(Em1odvVM{Q6uJ`_m3om;5%d?PPUF7*Vhm%!1EZ}-Xu1wb&ZX61}z<qLC
z4|(V{@4fP3bFlNjb7g-bC*J9}rCsFLM>bwqZ=EP%4qNv|oGTXKz#r2|H_9FlkcU-x
zECr96L2Psjm+N~r^qA?H7@__l{dkiOskNE{|C{I+ZO>Wppv0zoB2A;@6_dm#`SzyZ
z`XAdz_pdA{T~b`*)-X<9e)OMm$}<y4?~IlBqrif#cZ~-#YbMF}K~5{Ax(Te`Kn5Jt
zSRuoOjVGjAr^)++K8n&ejA3mPrvi8{ldHH)Uk}gClIDCLB@-l!K{R=6=g+n!a^3yx
z6i3=Td8{k{B>z<-SQYnP=S9X6nX9VE!xy<orro(Ck|b#a5&p3T)tO7AZ}36;x?juW
z$AG%;GPf8YRKBfwzH^DJZcVh<QOts$boF9yYcZfeVfgrWk7e?vLG`anVK!WElwL|H
zG=#R2nT}kp6>=jr>mB_BJMQcs$b0vnAxte=@7X%MLYk#i|J=vIiISW?4<bA1(9*Ac
z*FKg7HESm7!)|k7=@C!f1IOubg4a00gvN@oZ(57eym>Gp*+lKR3>_N8<mE=ESaIuB
z6+Oa=4-5TM1&6|Duy<UWs@u$l3TZx$VuS!z=9(;ht2O|hyU&t;HL;`n2?y_qKp~7U
zk%+saVE_i@xe3A399X|(u{gI=1h;01C=8#|ht%%!lx@ab$nwlt?n$mFeqcR2eso?B
z{O23vqm#MuSoFkCcV2O1J)54O8mb4foQXrDa=du1U|<I$P6F+cFG{ep>Oq^~xl*=D
zK78u>vMyUg3ORXe@9s>a!u8$i6RU3tpzrQBy1-9qwDVcx_MS-v0os1Mv*|*Z*uAr^
zpi&k))*Q2$S)jlxjrP)Sdqgnr`NOwgzse)ocg0oYBL#}h=b1mQi=t5M&(U2RN*Gq(
zxH~?d0^!{{f=7DAP}KL)g?PFO3Uatqm_4FEWACSaxiu2#)-Wa;bwm}3-EW`o{y>5E
zu33?;b&^=4SjOv8tA^Xj$HiY*sPI}!Xpip^X(YC0e95uVKyKNa@%g?~s9P8MWskWm
z3bZ{7%_`T#KW_Z(h5b}GWiQ{Ls3?!Q%o}E*p4vEjT6&E@h8}FnXo@RUQ$*p`8WX3L
zf4*oYm}VBQ57B#u)IY6OM#rj#hT&%v>>;*_%;gz?m81Fm^amBZrOO_2FF+5kSN;r2
z;HJYTbDOT(Syi;Hp>Z~;8ldFfCmB&~bg1~uYp`gnj($#@)g3i7eBmHrX7bGt;+>3>
z3nDbIR%Vyvk!N(Abtp*LGRXk%ct|#?(!}VZ(}fZH3~}IEky46<F-%FnE6kPD#;>pH
ztwgvP__||mlTNk?(Dr#=Qrf12-iuiW&c!e={Oi!kW2R;ht$ZNt^bK8X=IlPU^o4;E
zn6CY}&m7od9oaurP>}grsiFHf18;5DObdHt2_b#`7sP6*SYi6Zxv7$YW2+uN8;iDv
zu8H)m#szv<cr3mt-j9Kw%c8c_c-TU9Rmr5xK7D-f`|h`EWrn!nRl<$Ae?E-C^W6vf
z^^tjz+-draj$t1eR*!!H3|a;bJ82uBi%c)NdC^d8*F{<7Tqf-N{8Xw&-2kJ+d~;;7
z^-xqkX6~h{9aJ|gN@up}BX?;O=j}VXxb?;@&Q<kxpp2$zwl4Z8xlV)KJWvZ8ahe{@
zu!pQYy+z9rdbnyV&}3Ov9nXB)|Hk5gJ%r4RoM|{j#jAWBUzRGBvE%!&m+xtN5S;02
zYM@at=&hbW#C2KJxxL9cKhz#7H&5%NzSlvn)byJT?c%sP1RZVH+C${*kNLA!+L+`R
zIn)p+h)U-CO0)d-z}mbzN9&d*y5HgMT-nQk<|=>VcwXAUvbFi(*>QDjt`Oc*5Hd#+
z_j)qJ*4x2_d!p-V9MmxX>V=T7eZNWZAzjh>9ww}FGdMGlu7Z!&1^U{pc}q4sb%;$J
zV1k`(vd330CEWA#?DZ|VO~hA~&1Nh!01Th@cf(V1*wgD*o}SWAyhvkvxGfUkQwhsZ
zm7oj;N46Xpu^S^Q&h*UIaRQ``eO<ZgA&EI8d2?j*B*AZCcT+}{fbQZtci(z3l&V)_
z`nyaM8_o{g%Coiwu3x_uf=`LyV5Z43=`};#@rfU`^tFMK>d=e!H3E3Es57dmWQL%v
zU7}IXS;Hrp;n`ISJh)%b^Y2K~452JmD1G6T6&zj7CG;?X6N|iy6!`^ah-*cQ$4n<J
z0gfqp&mLvNbc6mg=k2En7c2KOJq$}Q`1nw<_rMByBR9!#eEk&BTGw7`cH9C)pP^}e
z;yk(F-25Wfd6M|-H<sJ{-W)t@n>|=;XUILiniF5FCy0-k1p3LCL+)?4$+Dmca)+8@
z->}g*5&TN>#MvM-Ncj#I0u4vVJ!WcrspexuOm_d_p&C<2R*wjFavvbQBx};S?~V|I
z>~TuYbW^Annzmh`_L8cN`*!iL4-@+qk~+6vH-T;W`3zmR4pMD5*XG}8L&VzcGyA96
zOkig6)3pn`8p%H;lB!w(gT&*zt2Mp_8w1PwBAP+VXEOY7^p$Hze-l4s`zT+289|GT
zO|jWUBw^d!jjqxGqI7xF-Lh>)pz)z~_}GJN@^i}Q<so8#@VY8G5Z=lF77d|ae)LR2
zr}%)f_HsYrqTxT%w}k=Dw;OW8FP9MS`Q$V{&-4>MdQ(q+v>U=vZi}4hqIX0Uv(-Xe
zcYuhs*DPDN%MgsE+Hb^id?sxF8ijaY8z6RN@bt(I)8XXJt1r&&`$`yD{5Y`A{5K(I
zRo|^0PKP|DHycy#ej|F=3^Jx91_{T*NsfMebXd2m)jzAWnV9wY6j)6eBHq0^5qivu
z26+ov2I=oxiPxN;BkIEc5HUO^f+qe3(2{F7?)9;QuwHa>z0Ea3u-`Hm>$#y12Jfv3
z4+Q=o$||Fj0_sMI-w%VQb~Nb0#qH&1%oe(dH77Ge;)chFq|$)@u8ZoygURRFb7{Rq
zY_<!ph~xwzHZ}Y#a1#|yzpu7kcIhKxO!CWTw@(sPoiC<7Wl%s!?d^pa*?wYZQ#+-m
zVTw3iGQoT>tP30T92k`xzlmb6vi5|a8Dd?qM9Umg7kIa8ml{Y65sM$4Q!*_75`4Qj
z-<I6efkYpl`~SHP6C27wbKGQ}Sho53acEu}R@_2)`U*!0ho@aSqk9$!_O!;-8@}4G
zC!RY^hB8jf{Awsns$V8{JjqjNt=58b%-5OQuTK!v;($R@k_GnmML@NM7St*WL~YcX
zA|_O)d$yXhLAM6m{M9F#aC1T~s<L&Opym!8)NWyi^#?~kAEjzS;2Xp1KZ<7w?inTT
z{dYMbJeQ@h^sxrSTb*yyct1zjEI3hoZgPW@0Y^xUsRrb(%@8}qu}F-N_sUZ$d11=>
zeW_NZIxHJbx@<YIOf35E-ld@@02}RP8u$9D17`>=+aZkwny8AFr)!1acTu&62a7t$
z$89$*m12V<^w+KHTSb7GeT(haLp3m`yOs*QVu%0kbyS7~ivj;}Mjvy#8U%TU#j(e6
z!b#T+5rRe%;OlcuuUS<M3XX^hK8@i9$9<-I3zVfG=J|=AJH}OEnKI!Nmd^{;o>@;6
ztYsi_v7>sSP89;J#BBw{1i(PWe@5hj9Psx%-lYFl75w$@Z{P7u2ng{_UasPbpmRif
zh2@hfn0D{BZKx7~k+;n6K8?yS;#hW4=8r1eF<hRL_7(#J7ne5$0jj|I*x=M#iW-zw
zRt)J$O2CQQ?2J)9bvPGVR3ddj4K`C7H|5VrLI<0lyToS=F#Gh!n^j63O8(wE$-^!K
z4aWmc^XF?pV-`hc+ZT1{yOQ@{t+gDq#>T2-Khc4HbE$O;qy~g>nSbQCrvSHo-&{4X
zr9j1f#i67zO)!r#3;%AZ3_GlrHmh^$gOC`9NM3+8yf!ru)n-wJ-QP2;oLy-kPZ?Hr
zH`j&YhypFG<7z-5|K5Vye}C%~{p7(eDy;ByCvW7^fb=TqohK&@K{QOs$Z$p<5`Sy7
zx!%)+u$ctkgM3C%7hRp%9YKd(f)3%*Yqi1jhTNWcK4W;3_|5LNDFY;`^S1t2)PdVW
zTFooJjA3Q%$^Ai8W2neG7ge7_fqm138%r*kKtpOkmicB=P)>~#<#y16%5NK~SEfzC
z+I{D$SI^C%;_xrlC-3xux+oVEz-tNtj}t8W46UHQeeLlWc^VYnh~o8pV*)2lQdO?M
zwSgIK#oc8JbjUh8pPa&P0^+}RD0Aros1NnlPQ}rI(|a8wbi@d*T`H@T+R22MN$1|R
zR?$Jh{Zq!LKn5gV46^8qvIBLtBss5EI=IE}<=T0f4zgL?)k4SYVY71?dANiQzYiqV
z#Q)F(m&GOFEK3Jif9HyG(r!8|eM!G@#7PJCM`dY9RXV^Cn>Qm@%4zUdd$(6rk~$P=
z{XHWo>j+x0kCtV94M0d=*q!=Q5w2WlT#jWpLa3WwPukOey0eu-7F0>#xmxj{SH=+(
z*0B0re@}rn3YGFDh7W||ZxkDRbAWeGEfbsbb)bFad_VQSIpV0>3gyuO2gq7!InEcU
z1y6g~C!~T)3Cp1ewPhprz{a<M^Ch7H$sCT8KGEZ3xskBjimyE!TP^HyghLIUJZZdm
z*PjI)nq9ZQs<MMEwvquNkCowJAJ<H=GZ)_GzncHZzz%M&A72+5DG#FCu1#LQ&xf<G
zDCGhvOej4b$vu2l8m`$Jc?-W5#Jqx{OD|cOa3aE=XY#8!w5Che`F#||-n*MM1496~
zR?LdG>=FU*>gO9%&x+ul1HuA2Ed(%`LgcsOd~jaH<mq6m2y!RUx>#Fmf#H;YRHl>z
zo>X0HOPCeG#!pU_roU{UZcq0af6)~p$R_3!ZA1hsX?;<OY&P(gw(a@Fr_;o}=D@Qy
zH6j={DC_WvVhwd4IuzcW9VD)u)NW>EieSmn$TQZyR$yZ!oHp3lM7(YbOOOu|L6sPd
z{f9Cv!E;(c@66y+(ns$V|B}53s^0PM4C%LkAHs^iT_f5_TSX^Fb5#+XEs*9tVqpP|
zoxg^~RDY9h(T|%t`9;v8-j}8LsyVy_ALG=pak8Sy_1prN2x{%iv(BD21LHeu_tp<i
zldN&dJ+%@dxEST-TCvRxHu}Hu`#Cp9>KmPsWi=B)ng0qOJghYZZLV`0ZHt!3LwvR!
z9}kKkoBSIKDMwSNb<#D7OJhO(7B)kvvVXk_b!Wepo515L;()p>8xC(Z%Scrd#U(-C
z&NmJwz*6^?&!dhVTaCC%`frQkEbW;~U5zo^iF?L8;=zf2$)CQ(n}}hT;QeMkA7ikO
z&w9JQi3>wgO;Q*C^)Ro`7c)*z7(u>vA)D(a9!&ooKK~(498cSS5Z!*!2%58_PkOcR
zVqMRK(2+z59K02z-9$G6&y*Ljl79TSKksf&+Br$|saK!U`^P7LI$n<8q5u}W55Cl#
zDTO+o(YMMH7!dOI%9gF!LMWF1U&7Z0X{1S=y*g#bfC;e`=d}zGyxBA^PF0u1OWz%(
zH?T86HQuxDl%goM3eTsWxFm=B)x}$bJ{!V@+Z>DgrNpq`-|P7*Sp{qhUc#jeLtx<y
zFutNBj^hj0cXp#9Hn$|FzKt-1BEhGhH=0RcYkPw1-m}Ws9^{#l^N)Ybz9hxZ?T|#z
z)g{q2FH}&XW9eYtW<y9@rQvq{wiIUH6cp}zp^Bkv)r*Hc4IyDek%{=YG&;~v9&V^m
z!`1qHrVsoLVc{7)O?<N~9vx)4e5penYxl{dGvW>5@|R%k@vm}NE~Mj_!mf$I{qaUq
z#fG3znh<|)hXQWDD6zASp@om)7Vqs@G=$c7=><<YmC%$Wd{d~uHr}@XZqK!m0bi52
z<@m~!G1L0p<Xol>R?B1z+LtrnW?y;gQiTeh|F|!!w^<jJ|HQlwax{WZf*bSMpQz$1
zA04@BZYu6L-$K3DZ3H||TKaxvs-e(c-EX!OJ-ijgPPvt03{{I>n?h66@uO*>XQ!Dy
zW)IT8T=z49`coX;^A|KQA#(e&uZ{t-RJbkbuQ3IOq;hNR7)>-nl^?Ye1~_r<Sh$*#
z8Pxtr98f!?g>zkw&)X7dXjZd$&&JyvP6=CFzT~crG#{RFw=o(Po_r#q7h?gm_rR5@
zrGs(Nh57Y7bgcbwzGr`dC79@p9klwTgT|+J9eglI!-L~JM>Y*x!P)_RUV{s|cq)tC
z%jy^nKO}GZP1mu3=TAL6_lQ$)b*CkB>X`w~sWD!j^tOeIf~p6sLMdqc>4(bm41GLQ
z8qeW&ihy&fTjyUEP%us1RihvDFgjIxrE@jF0h?<k?e8i0G(Y!yS|$ZePL%z5Sq`vq
zxbj7B9tG2Ft@H(|buhDCEajZezh1_&=9k}Y3Lbd&wML*y3#sSEUXF${f#Kd4yLVC-
z@0|A8#`#zS^?%ZH_ZBhXRQ-m{TRnBrwb84hH%<*x(|y`@cQ8S}{o~;1bsd}xdh?de
zUj>`$ykEEuGvOK6jSGD*wb3?-xVi780&d%+LfbUJgrn+%!mnRxVKAq_A*ogw?5cRv
z<ypssGY$s9yB=ubNQv*>Iu}V?2yjfw$zejbji|#+yaxV$ej%Y)P7Gtpbq7BOF`?Jh
z`@FxeIttp=|CC4;!sNNDYC8;=aAD4~eLX`B?cUg_g_iQ-l{QnZo*saON*@#CQpMIg
z--;jRaH7vOvBi|j04F<pY)vbaadW~3T8#@EI{GfiMOy$kg{iYr5){!i?+Z(r)e2c3
z!|^Kp4FUBQAzbSN<?-5|so7eI1yU}zGWRnV0UP%p9<mLP#jK46E6-W~l9nEF)N)r_
z*ml#s8xo}P;pssQX4f?7yv6O9L9z{;6?aLEsgcBBsqo&$^Hb#Cv$MChc3Oi-+qYYW
zCK4E*zg2qMz$B?0An<_kFE9G;rS?887sJMod-U0sNz$;(z}M%v72J0+Q7Z}-#hi{m
zHCB#OByHwn#hTBSFxRf*b^JdOlx|F1beEYXvy+w=SE*aVH};x!*CT~cR4s(B5oX9&
zU19elPFg_ub*q%fd;xs-MoBUG=`1<SRJhO9X%61p?|Ork`0-HX5hE|}Ig(*Fz%{@$
zhri~}ugZPo#nE`0(sio^a^B5GlK#*P29FjW70Ks8p_)sF#8xkn`ZD~=ZBl07MKf~e
zsN}|bs~+yUAGtziRJxcA#F@h3aA%({qTF~kB>DE=KP*^OrC_po$poTD-i4hx|1a+o
zk5z~muwlqmegjIV2@G#YlRII^g(<vWowuH1$M)R3)IHP25YA$g?#;@D(H-`k_XjyJ
z?7W(lRG2Y%%$|OrJjaQzPkL)G{kiaa8k2SPiV+y_H@izpb0O!YLvekJ+;~V{=ZnaB
zBXC$Vzo%~t7aD~5;e&^~_#`5J`vrL;u&oU9x`bR<B;8mr9m0<X<mH&1PZ^;1=7iop
zXKpkTSC$L&5=6I;HUo?`4A@AC4^*7x#%C4Vwk!Gx<3gG|OZlK7d`lL~&HccG7M<-^
zPFIQG1l_jl<0V5-^m173QNoKVds9A_Pl)1S!F!gOmWEKN7V)k03m<mW?h!e~5XTh{
zHOb5&Is~yt-7Db}!0!i+NS-?<fr&9;qn258SnvF~DlkwGZ|~jmI&)4EZzkDTPVb<D
zyifd;{-hA@{CRlQr8Ckv<s8f%phE|bv5N_n>qXFNx383do-B5+9Ur(kLW6hLHYaNk
zq9}Y}zs$37IXvx>6Y(>H2HnZ@KR4{e(6;`8(m;~}rgAYVFYWrr!D~|3RD8sd{jj!P
zL%R~L9GyS#-j)WR$5eWAFG(OL$I2GzQ!4-Na+ms-L4!w95lu>MlIZki=Z=(YRot6o
zz5Lsb236BXtk#1xJ}W;cc&|+jDJ3;h`G;wc6&KF+la#?1b_)=vqJdXCX&yNhG+0~C
z*k-v^4$pMQ%#4L-;*KDWF8s&e0-<d!-ogsVQQs8N(x8R=V!Hyx4*cWe_A1u4PDM<e
zTT$6)qk}IB2RE<%Mu%l}A+g*_Wy~8bWe<9!i=H0xUJ)A&p^6Z^IoGR#(bFomoC;KA
z?$z#y8#M&eg)g*|BdU0Kxu7g9Ru73$d(g>YfbMmtcOk6*d`a;EkA1g3Qocs#<ee~r
zo-ZvWtK~HC+)O}RjwTJS-sN<x3^ImxuVPA}i6(YlDC6SOpkvx^=X+aDn?Pxzn_B)l
zEj(-^QsI+9$JTixKivXT&~p`8w{w>^iq>e4CoRy?YV7>x`%7jZ5pYt|Ay5aELjG(C
zFfqhWq6c5)Z?gb}!L2TuJ9II({2E<ol_9=Vn~e#pvxF_5qgU;*rJy)lV%Jq2L#+Ak
z-W#{Z8cy#i4z*gOV0;5lRor(v665~d-5+e=)QA2$&TCYBwDNoK@Mbz%Tvp26V@?3O
z^521y6)K9I>PS7YiiWTKSC1At1KiS?zUyMChbOjFEdPqu$G?x)*S`D>V3;$NF8eRH
z!X=I_xCBsf?`f&KhmJ5o!Z9+`R9Fx9f6IB{B(95g*P^Xwe=*^!X|8xq4i!6m2AD;c
zv~c*YjKyVJI|!UvdK<t`#bHxRX~k)E%<%~jX*q5O_2M~szW?@eR?pZy=c$U{z1-Ws
zq}suQYZ;>}j=Fesokpc|h9X8z>8vJi*}=!cQ;%46b?~I$nMSFvGB~1;GWs{p4y-Di
zRez0Wp-!5#LzbTemXO&?=Y8zp@A0X?*xQ<@CTYKlD^LWtaJjD@Q?Y})HB04p?KJRV
z2|j()&Wk~J>QjmvnXvPx)cBPyHC&mwwoSg59X)z}T5gD9LVN6t>f{Mk+&R83%BOOP
zj4-yDYFA;xqs#B<XH`^iBsnruCUcrBxFPJxRR(a+NLg0r-`qMkH;oFrjgXw8Gw!?|
z017I<{TgND@z=WX<D0hsBzu>9W;V4EAognORP9R{bPf`J`BT1?)ZQ6scAk%bfa%*g
zQYWO)T2V#yN81;2p8r)^zLhQ14C)C|0wwVNYwBR?LIpWn5PV1@$Of*Yeh9RV6+_SG
z`JA%}#pH8qf9~(O)=;%tHT3XD5oB+FD^{pbNLo%u2KfB4g4QQBNt7c(*e@5G^EkVN
z{P3*g(~6E2sIQG(%DB&uLhFtvuC}Nk+p9FTb_H2NkA(cqOif;V6?v&TobMx<dL`=F
zLYW1`M&|jBjB?=^v~d@G|4Kg2VGRKh3lJ*#y!+P*2g;Z}+mYnkO!_}<dz`q}94d#h
z@4s?m$FMh)jtBcX$Thu(vFxoG#ITJ0xzWLjfse~$^@h61-cMXE4>Zi6oa;(p;~f^1
z86KAJUDZdvT%TX2n_vo^WWlaZ!xi%AP~K}Q4v>YK$xU)oCO~_)sXH)oi9B{9v^dZG
z4=HFvob}pi0(z?t?oL%&B;PICGx`=s$$jQ5n`*xq!zq7Lmz_cjq|e?m|MsqN((kn4
zg)M80fp*Tg>D;P$GR)(_mF3z=QfDg0y8pcq7+sY=daZnpJe}!ZCs8|1{to~E|Njh^
zcR1C56vyqAy;t_S+<RTuUVV?P(2`2@laMHs(hy0hP-aN7OJpQu%lBhtr6NMIDT%VO
z$FG0SbN)Hc^B(7Q{%^aEo2fdSY7-;A_g}+H?5r|bM^<o5`XztUJ1QjZTU0UdUc-&I
z0xTU_*75F?Wy+>C6$B6aq~s;8;R_G%1aeqy;ywy$gY>;>kkQ(7^6|<VE)+fRJtlt}
zcjJzU?RQm!m7HyJm9TaE85djOL?R6;y3k@Bv`m4STJ9VA)*HBJkf`L=A6gXT{g;08
z0R=SLidpx-CN6*f`KtSW^ytiFq?MyQ1w<=7$YyR^_>1K$bmSilNXcNI=9#;y@b0jN
z&3g4VzUPBP*uw}Ww3vJ7u4W4vwnZz3-^<V-qrbz>D@RyRdHfH}^L%9R&`B;|p`}G<
zcs`4Z8L^=vhS^Up?j*R%yGJm0lNJp;sofZ|V@I*I`}iXoiLfe~+G@v7kDNXL^~_^V
z)X(zm$0Zdaz&=BnqJ0eL+Emyq^IdM_D9*vun5+U%L$}$>G8mDt9m5s9ejZeDSKoWT
zhzgKC8vIEYV@Ba$0y2yC@gdq?`3kN~WeC`iSovMWg0#+-otz%vM;@Ha|7q(eL*nH>
z{tma<(BpBxlNX`{(dl?YPRbwwlz2}~4qRqOM{OD$KD!GeHAY7Em$3w(Z(|F463>Ya
z*L}%&>@JFIqjD3{PY}Qy<2PHn#El>TkCciLM`^2_8a~<tNMY?epHj|)=*D+$KKd?!
zE-tVneO4iW!c%XW`$Bw(sKb)f_eKhFzS4ZQtw#XF=PB+H&yUPjgg$g~$e>_idR*#R
z0z7cZ2%ew{BFEQr{r}yRMI&c;k4#k%;7VR=()oEI)Eg(5DZnI;>~FR<CR3Eb7hM!p
z=@LQ3#^DE>pDCb>Cv64HJ<4GF=rzl?9x?O@2sLJQN{B?mUAUB|0*hyVQZhDoBickw
zBq^kf(zkot;;V^p#xPLmyNncSiZwiSbV3FB|HsOHl#L8@*WUzwJSL62V{KYF%SdR(
zs*pD}RTb8Eu`C5Yl|c%0=Ep4WsG{z^9syyT0$!$%I@5m1BBmhj!Gq}(ba8NDKkGj|
zCtqLZ=`@u`))g-<NL)}u@8+imUkj@P-H$Srv`huWb+x^JT8WB+sJG4@57B^|Y`;eB
zcNCEkO_+8}9TmM14IBv()`Gv*&4<{J5Ky}$_xN6lI`Ypyd+$c4HVB=GObt&|M)~$L
z%SPwa(Jt56PklMMu>H6AX?lYS@=7&0;_0D|Y7)f+4#(?*RA}d%dpi*&PB{{NWz|va
zT50#&a6<@j$scacBB86}n=D;%R7AO|Y<<HYgNgD8CegiQ<fZ?;?rn`4LNP@gvbg{_
z`y-Yg`DEm8RiNLVN<n!Sy2Z=y7=iP*eH~eCWc0e)9XGs3M&yc94g_Ok2x>W<bUKxc
zVp=jZY0s;ma4`aPamW~03qSIyE0U45*``$~hY~sx?%xt%X9D5RDxFWelaQ}Ryx+qJ
zIW&J$T=ecU6Zqbkc*WY4h$1NM>+KxUNK#y8zh0{e{47#$nw3{U{AVH4*+C2mUU9Ud
z{Wm|DXZA|BjDYt0jV-Zq3ZPM4MuDvt|Mq*k1rJLpA+DJ!pO#`ylsOYf<9pTwLj4^N
z*7ztOWkqo>|CbDi5yZn}`Ai_cVfs*Bp&U9EOy}dOxQg=(n(M#IH-^`aSx!FFGU(p3
zPmg3P$MNLjjmGhM#?X<(Z_7)NMytoBSFbr&V>-{mqPXjfV2(F`2K(m|W6nB%<Mc`F
z+E^)h#KZ`CWtQ0qDPqWT-2d3z+j&gU-zB5F3BdAX@#)SWVYIhiX7%}}W$drAgWtL(
zfVFmdhD)3P5>p@(6^^fCYUjJ0FQi})-4(`_Jj9FslPZ&<q-|muls=>3!abmOLWfP|
z6gN6}KBt21=N6U~k%a5F8N#3DOS>pkc64SyYV6j9ZOp^3f9&^+0oXOSavO59AW<HU
zFXisr7?Z)zSKC4ckg@rzmF_45x_yj|KVfwXn{Az7rCR9&26fBNw`kDO&LFu!vn?!6
z?7qFqJw0f;q+MP`vxze)&`m0PZer&xz8|^Kq6<AV!cJ8M%Xpc-bVgRd2Bzb<_OgIS
z7tD`L*k~-y<JIR96{I8AF^kFZwS&$&plcHwuMqMJj}&f3U3qKRsAk8NjWTUmHp-r-
z3Qgd>K@Pfw!>gE{*a?yiuQnu?DDMhj8o((%Ue-KntJn<v&!#zFEx73x-Z4`80q-}+
z*|N-9!FG-f+CJ^m1ePPOmgT>f;N!uzCj?*xJ8b5ivdcshx^*d8=hTX@%6n6FYz!+H
zPluZvYq18XH1P=qnzUkv0=(#_7M3y6#E688yat48*VPM=yRn4l-6`KVR<NL~-vNJ;
z)uFL&{&Rr90Cr(*&bHoe1@lUB+!g*W2iiWH`1#a~U_mzug{<3GuwBc=)qIImaMZSH
zR;(V!%m-hK6Ma@OQ3hRpUok2~_|urZi2IK1{UB37HD1F8n5LQ|Gu7baSZeHjyPw#q
zT9%@_**ZqK)pGe5Ne#-14`_R{&R`WvPaVYlH?WMr&U<gGDd3#*^P+O~Z!DykXhl1=
zi8=MZFf6m7fTe?T!iB0ijEgN%RW)cETM4|M<M&P#i2auR!cq&E*Nc!UQDqt^{wfn6
zvr2}zc(E1Yqebj1#aNP;N()ct*`GJ6k>M4iMI=%9FLt7N^v^zfIv5Q!$9MaZ;C|N|
zztECpOl3Oj{Xhmi&?F3YlvffVPX55XVvkkqb4Kil5+@_PWB+@%nuQ3oyqnL6*g95N
z6<PQroe6}FeaUuqQh~C^ZLE)VHZhvFlt`JAEb!e&zWDE3W!MvTyZ7yhZ7i$gMY6s*
z8|*QUl<AjKhP{s?rVrcEzz6Bm^naY#;ntBS_V?om;N2`rc%MKEWe>c$j=bW8&4M)j
zBn|?cE%>^YutW#4DJ_S7Cvn4FhW@;d(Mmv;cjC*x$N-JMIHX=~@qlwkCk?lx5_s=C
zJfp$G1P#}(cK!(FgI3SSv3`|`aI-AG@xd2nm|oZDJE1H9^pA3a?VJ^X^``zWqb63k
zLmpUtza|K)|GoIMS6C5Va+#hH8Qld_fwYE#i^33mf^o!PL;-RP;vdkHIbm4$vJR_=
z7(}O@w762O06XTZR_w>QfxZ6V^l|Uq5Pv-TM^3&11nw2IZz|=1y?$S0{r*bAoGD?L
zwp;-wpWT<;OXUO8?B+nyacQWvG_BDdQh?)TKGQiL`5~h8u7S!Y8Q@SO4<{-pLiwA&
zUcFI*pzAuM(SKSFj#8eT7K&E{`>~f<k(Y&GrO+bpC6@v)wtEU4R8@j2-$e~bL82hH
z;v2TRM-kX@ZsD*EC170IWflHf91cnGbzgr?fFEVb`p;;TL2r-8@>>>3IIkSxb1_8)
zt`R<(u9~TUmmhK6yFm&}o~X<=#gjly|E9gfXCiRB25cPVmw_YY>-#68RbeyeoOWm-
z8RiV-Yh?Un;obUnLUSDjcG$0d-Mm17pAOGmd&lG;KbNbdrBDr~`43G^l&it+h7c<g
zdj*ia9pu>`Mg>(~cG4<I9n{^dvOaeyLh6-%lO;2C2qMwaE_P`^tjmJZHA@0GUaQ-;
z-lq<t=zEOjb1g`JeD!^5kur493YnN`YXBx}m`zI7fhsq;;lm6>csYB2^p2ed#Id&8
zj~D3y`CQ&im?jCjrn^nQ5;P#=o73C(eFh-K)V2LwmkdKqCznYD>Yz76jpd-lU|{ax
zDS1X!$TQ1U_4!7H^PcgVk`Dpg)4lJ6MW{lcQ*>)ur5ZH#JY03UYXq%=x_|WAR6)-F
z<!4)K3TW5Y7uKFOhP~%Y?wv1H1)G|_iQmQ~&_08`|1D+$sTP3)jn=9V(UUp!=${`B
z5E2U-b4|ec#4G*M7&6%QkJ>qw%7dGxU3<?iQz&9<u00n<f?t<Np1L2T!R^YasM0;A
zFqGBd=WIX(m71f9=h?)e=J8dIcV?!Lq_hx|SgH(h0f!TgEb+rRi5af~c~iKSx8a&c
zO917gq>wkf9Po8(DEHBX36MR{dv=l(q21-Vaasp0xK|aH91b&qlYxl3VJ;6Q^KFg8
zu5;L!I)l|)Q4@G=>^df9FAJym$%N94R4irS08l`$zkU>7nlV`1q#4NdmIl(wr~Qx9
zr*NCwj(i1T#xTM4vbRb~5^}0}6s}k=<Eu)x$GhW<AfWi(gmkzVv{7}UPIhnMiZ`}H
zTR4nhU&o~A8(CqfI%~~(_Bkz@<?)d03kBfZOP^-{@1CE^jP5ES^r-y7w^O0a06*5J
z4Ham3VY+h5&8+m_|FCdr_Lcw!ixG<pnK7Kew|368{y#?Kk9^D~<o7`AwZ1bB$*hng
z75wacCL`hq^2xdmhG0-`<xASl2n|mj(tJv0M7)lrb$o6Hu#t9Y>IEk)#5UzUjdEi|
zT6&LEO&{q)z4wah^Uv#;s&SqD4=zTON)>$Q-=+t8J|XpiHcMFTi_3uJF`%>udw+<q
z=|Nc(qjCM>3?>OyO2~u(owZuZzIR9$+Dg{HbVQC}`i4=mBV+XF_kQ|ua=H#UiMBV)
z#CBo*Wby3LD0;MS|6qIMUu~Ewx;Al5G95Fo91b=)NRI|K*h8s@w4up8)J8466|YG6
z6DX}jkG8WrPnH#H!9o@?_EGqXkItXIe@~Pitz3Wgr%6N$B24rBjl{?CXFlsCMFe^j
z9=)4J?4Bn4ahY};OPRvgxlWcHI7W{`k27-xtZ0DJ^Y$BGUeDszHiLU}pVK3`)Ef-d
zUjOFN_TsCW^Emay5sr_%4CvIPEc2Twb$H&&AR^|wh}UhYN*87_pxDI0Nb9rekf+R$
z6_W55w>7y~s$<89E*EfA`_527JA8OtF@FWe?+-jUr^1As+=c##`%$5jK_u@`^&0-b
zv3Z||0yCPgZ+o+sjtXDDDe|NC4O~+x{pf8A7W93-VSMM28gOn~tX58J;Vrr>4OlcQ
z8nawxKcK7zs|r2Su}n1Rj9*lXC*3Y&796I0u!#bE1)+l<<!RA)9D#*5ogK|uT#Hw5
zqX1`+(_eF2IyAZjbq~*RBD#<k6IwP3Fz$j?kyv`<doE}5tvWaQZ$U0w=d3DBzP_{M
zJjsB(%A!hLt$5Jgq0^u4Hvi+<3fF$Ega7z8Zr|deo4hD})d$a{k|88)r?0e!8BG&2
ztqeZ!p&kL$;gd@OFO?-nrt7Te?o5f+l7Rp+u`3;2S0%yF0U`5~hPx1d)b>Hg_k!rL
zgCp_YKhCwoYDBi>Ine&wt+)QWDU1R=jY^_Ch%g!z_)J%e3klbV69$inqJ%8BgnlU^
zRO#DQys6+uXJmq1(+-Iv2b<S3zB4Lt!P%_n(ku`1oIcK_eMJHtcq=xKKB$1M=q+^`
zeLi$~-8cD<vlKemv(6scrULo$2}yIA{D}EGxilw58ifUu*_XytVCa|kx3>y{=;G)}
zZp+^?Xl?F~Z>ks(=$lKri<*UyyRDbsVOu%W&~o->%rzq1erJ2+(>)P1Uv=C+r(GU7
zkybvMZ4*J7Bq&qmDu#Hw3mcBvDI!aQO{v5p5<Ey<q=Y%|MjVO_1#YuS=)H+de#v7p
zSat?PX9Y;2%JW}`<D!&NRrBip*?;+4<<S(r_p21T6XQ3mq(wv|_iDeUPzpqNJU4Qr
zmqC)1YZLkXB=iw!7*`(qr=JB}AVymj)sFv}Yr3F{URlv+5ACIbxO@Ib>C1BH`I}wo
z9M>pFseR;f!YOrFQar-xR4R{d^TcPU$*Um^`${L{WDN+zWyhW@E1-5^$T?i0hE~sA
zO8v2+3HLg?cZ8`*sNXA){S<+U`kbvDJ_cxm^8UUQNoNB39pLFFb%Bb`i(d3s6V-)b
z2-jr~P)4~D3dYSLRK!xORIvVD4|;C&-iY&8LDrAgZWo-QqU3|_x9T1kz{P-~FH%Q{
z=vGRst;CKRioJA$w6$*!$lG2OHK!q=3qP}0#Qyuom128dg>PZN8VuofS4l{5uIKc|
zO$y3zolrt;0LM7{$Nm<RkQZB$idzR6&9$qirrkCILV);8@hcJ%+EGmm&?h27lbzc^
zDPtJ-s{^02BvfIvwL)+rpn;{cMJ)e%A=Dn}yci*(h4@|(4_gJ4ko-yD&4w||m)4#2
z6(yqEEzBN+8nWoi1G(?YnkJCTbTRj+m<m#K^N+NaltQk2&svGrCa~dLg*vAR=!$V%
zTjNnt)KZ)9L&n4ePUWd~ypQ?Eu?tni-Cy}p-3`~7irpsAGcCliCZdQuU*=qnY2!lr
z<99?(j~GMUg-lts2zf*-r)iqvWk!BvYQ}JsF%)*B9s9i`i(Y98WDzxY@X`UbuYD9_
zAn$Byf3ufCY0Ud-W~vtOO_#vh$Yvw>wZz&L*&u}i$p00zD~;kwL4_g($Bf|7eT|wo
z7bMW@j6Xv<&ol6T%Bru{1OS#X<{ITMhTiS)mVb8pf^|$LSB3Zhm@xTm8RiQky48no
z%1kCO=^wvq3YRh1Y8L)Wze^CYMWD32r_-3r@WNIv4+bY1w{s+t_>eEdEj*#@H^zI;
z^tBvy52U0T=kh!7Al2J<7M*U-VbMuSo3Y0Y;nkvE*REtvbfd)aQOMF9Cd*qhmUY(v
zEPN>^|BSPtJA%^DI^X87CdYoW@JfC7+ROQz8qSQ$GB)$!<Q#^1Rb5kG(u3BZVH28g
z26Qhx<G8i*AMB#A`{V^pJx~nql6W&ni}u>_^_FYTVwJZU8@B><L0V2e{N(mFZj5i4
zO|bmJiVt38eAuP~G_|FLluzsU6SGnJN7Yl<bYgpG`)-|o{TLlYkXym;^B*q1cIG=a
zX{Q?FeMK9%U;p&^GP{V!GfzIbC^~^9N&hq_c56XbKg$tw>3KYZE?VZ%_$c<l-)pQ+
zOACG<@B4b{%q-5vu&k~TH;k3fdaNy^XhQPE&Hu!yKXG9L&Ajt31~8c~jizC&ns9zF
zz}hx;63_7sB6!jFVa$3C;zzD)!0vHbc5}ZmTt)jXRkffS8_YK7RGd|Z{hixFweiDv
zgpq&pVrD0{?chW+=&BCuRqb*%tONLW#;@}9jUCu)36t3aBma78au>l#r5E@9byYs-
zeGBF#SwG|CM1^d2z4o1n&v?C;<=*3Vjo7kP)cEgFHQ4lur~H!c#FeIx@?W(@SjEBV
zz7cmd;2Y>;%TMpXgIgYs-?&nV{noTk7MrI)3iq9LkGfX;jk$O3By9<X+>Qp^3#33=
zNKGHxgLim-X-dC}Yc2*!4|cI}Pyq80vY~u$z^_)kk6Wrw!%WSbCnPadFupuKTw7a*
z*KYK$C7Fg{f-_mMjGknuvN*&LOpox8y4KxT&LuoYS!(lX5(z@mX-c12y~S6Hg1?oJ
z;&HA>>XqtGM39JZLuu4%Ts}MTVWD;=en-^wl_5J34y3ZMsb*K=`B{tt&#t}1^Xm;G
zx2#n_hw1)Dw!{kj`r0~;lfi5JzRI*hZ>%ybRwp;^ESKX-lVMRQxh1%K@L+28AOQxh
z5B-d+D92rHei)zPFUKna2jy%?1Ss+&lb?Pr$G6O5<L`u4;UfVIlP`jmfF&YkNXDoF
z|5Q|3X~bKLYc6on#D7(Ul!?S?`ppVl_@2@66T=9PKj;^-s;vmF=07;vXsU1#<()B=
zj(S|<)%w|zCkh~PS9#~IO*MW@<yZAkUnBl&Uw&xLjy$X!a_`F@t-*7z3>6QtG~*N(
z$@FRuc_^4aOt<s47H@rP`mocb6<6J1vhM7a1Bbp&T76%HKRfNP{A#Wp596n@e%vbu
z+p4#Yis#qi-lDlC{be8Uw#VXHPjOi&=BIno#@T>-UZ{){8~%h>DIOHutt$(HPC4gj
zQX291sn%}U_q*_{xyfFGG8s5HVeij*;vHT&Num_lcjFg49z7k`l7VgFh3JvJE%++i
z0WXUaU+|{U=Aex#X(;XH*JZrehG#pDpI?sb!>fMXF7z>$hPx3Dr^~zF<0qaU*7~~j
z6+bRt>PPI50*!vB=2`!bcy0S9y5fRCoZO&#RMJ5T)<ciqrD}HKR_gOD>xW11@aFat
z-hGm=>t{ilLr)i;9DUp7%E~A%Opq#Sp^*ej<xx%T%x*l))c5d2%Q!x_-}IB3sszxz
z-BS{o{srGAE;OHdKZ)1OF20R%*$umGp!ID}A3o^z<WUmy6mI?V7F|z@IE2l2$=6#9
z;D=mXSSD{x<95c!y=Di+KwRUhip|y_E?1XfV1>=%7P~!JKg)^%2mk8KubU&dIz3DI
zVfi`SQKsJdu8%0Zw!IVaO=%3jWOV6pU(Y;lCAU9@y-oyZrBdxAX(#ZXZ-1TUFI&VX
z?#fQx5Eg;rqd(41uz$yWzgMRDw*SS+nfZ>3e!@^w{PES&p(*^`Fu`C`Y!&~@M6J*4
z7XsF&4z=}PrtybsUb{SAt>ZY23$epQ2=?>FjRa=S;_*U>eAMtQ{NY6&{f;++kfoa8
z@aVreyhcZ%uFHW2C4CI@6eS6QBCEklm(T*PG_Uq&OOg)No#M+nP#^%_a`hJ%XqWI5
z?2S;lAOm{z@V1k>mH?bE$risXvy7h=)H(FRj0wrezDTNT;Rl8rzlE;^t>RtY?N``J
zSWsixFHM~@{1AWVxnZ5;25!9v%V}`ig{nVJ@+)xjgJqD;#Xh!eJfue3#L<lt4P6y4
z3T)v6L6Qhv$a5Mb@klV5d5{|gG7q)o#qdFZ(ofZ@i*$&iQ}~r@887;n-N8`e%?E0J
zQ+N1$8PH{qzGtxw{AgO-%F4!t4{WdgF=WqULQ(ObVhdP>(9_3-OMI94VBu2F<s=za
z^i{7jfhSS~MK2O>6~5pDip5!X;_xmsbLQMpqod+Tu(h_3i;f>y^*r0se{dq95qHj7
zcS%%UH+nQbk{|r(Rj5y;d61}q^!TKUG#Y8Oxc=d&0Q3xFMdh2kDCdUBr3gb=#3ro8
zI&wx3!gB(?&9exgpoife*~aqd+z00CwH-p>sARKud#@1sSmN5Pa#;}}S}rcu6cGp+
zJW*=dAcA^sSxU5Z5|EyIiICGzF*s}=&sca>9EqG08#-=JL_u5gmN(iY;EbnfpR9)@
z+WT`YT#88*MJ1~q3nfXz$+L|=M69LJ)n$q!%@hSOfi))WC=1<z4TEoJWzn?`c4K`z
zDym&$F*2r6fCIJjdn`Z8q3o*o)9rQY=t7o<Sho@Z9BwDL{Hjqvc^V-G(bAg8YuP$~
zW{e1HCM#_hDwNRa1gW8US1lwlHpAHalmfh!eoq!_lu?Q1pwRR+ZRG!{gtLKP9iDy<
zb+}neL|rk1&QC0K&}v3;dO)8hxVi35pDG}un<=>;Qz~_k`DtCb;%_>Tc}(HfeFF-*
z8fTukzd{Gi?o0O9;WB^>wr$QvMm6*%r)Q#rqJ!8EIh3c^VUR|4+x(lYh89kJ`x+;t
zjg-npqS-C}{Z|dIoIVRvkt-XmYSTGQ#JTJoEYxZYc0-0gA042goz4B@`*qck)aD-f
z>$^>Xcg#$X&76uRuQdlVKcS#1cg1(&>SjP0a-rN^Q$v;cCv!s`RS=6vKwrm}86+uA
za$B5JL-)H)TVhS+kwxYKzJ;si5c>QMoliOi^);$@`1nhp1o7Hcrf25B(%YF`Wvq&L
zPdv1YmEc2rgwpjo?wJFuDO@-^Peg7KK3wDPXp#NFj@iqq=Fn{PhSSki8PObxHV_mF
z!@u{c#yRGh!BXNmR{9b}#87`HdWN)x$tE%iFSD3I?7fKgjRiUMWvpa~{}>zWcwRcL
zX=e%&@_L6RwPet#`4JE0Vjd8hx!InVWCDAx9M~TrCW-ExnOjQRB><-J0$wm`43M0z
zHpM84sy3wx$~}a@D(^+uF|sjymv|iZ<R4FZrLyIYZ3#n&%_RZdyGBrT>rMW#R&I3Q
z`hJN0D*}ZNqOgb`0G#hc{A!(95mANccKVtq)Djdcy6pfi3)pTjP0=E9g7<o8wkW*G
z<Ss}_!@xP&PdnXs8AsXgWjRwt!9(iQV$91u5UjP&y@r1RUwp7m^|>etCf2hvh0TT#
zt<ZIX?t1|iRP1=*JXI9Tnv1u#Rt&(Bqoj5A{v;N+(?a+<D+0;_vL~Z;3_we!vn@Aj
z5xYP5Vz*0y2($<7IhJ)_A12H!*TcLwF!_$?F7h=I5L|qUm5l2_@4%+H{vKMW5fDD)
zZ7Tv6<;Qn>S?R$=j`p)Eo(%BHs6yz2u?Tz#)h(-gs|yYDtDQX-%n-*|a-h>v1nNz*
zgL-v!;ppwJql)9KkiQ4Z7jYMX7f+?6nQ<Ms^Ek3x*@7LU{8J94rHX({LUUY?wGQ;f
zWUOxna>Ce|$0Y-QMBso|>7CzW+Hfp)kFuvFH)z)HANYAf6ncfaD3Zb2z#Lu5L}$ta
znw+(4sl%cWuD;55SWz3cmy<m1X!3$F*1azwPz=7Bn<+i$(SrX00096043~F2)PEeu
z?UixIoq4!B+^{n4Z0;42ktif7S(S#7(oh*KWtAi;DJmivX;T`%MA?!OX`qZmibDC_
zzn{nV@%er}kI&=%d_7;s0&R(oR0aI|V6W=Pp<pudT5o@f8A2Du$=iyPV6}#3I4z`(
zy;C1frn#CywbwCS>>CMhBex24epSZ-)x4e0h-L`6I@>YWL59~^na3acHE?L`>b0Ja
zT#%0ZDQ$b8h_&nv`ou3yv;=7$Gp^=>@IyIoYpD`U0-oRYPNQP&$XK&s9vALA{>%{a
zl@b0gG4~FOhDZD5uDGOdaf4n{)tIY-=+P&Xg^e`uk~*yB4{+gQ(b*n!Q5DK3AG@93
zNyqJHrQL0Zx!^Shlr1h*!=ZD<rj-mW$ctZday-R_S|{PdnMV|K7dyoFb!*{t+#%EM
zGA>kAa@YpF>X6};rub)QBfG}BM&dOW+t{{=I|Vgy>P6cwqO%UnF4b39N|}Kg5V_1z
zk&4Kv+e7(tI*3aWsd(sShFeun%+t!K@ObPL99YVL5p9;(aMlc(-Al4>JJX<@{8hon
zn+c7HPyel(Hp9=+*RExsX{f7F<vC0+LFSBydIy>F|KoI#9Y;r_Tdw@AcouBl`-)n;
zF~=_YoJf(P76_a@UuEW4NGX5e?dflUZXb!;QP;H4Q05taDVPn5jM}-hAq#xjl{uVm
zrHzcZg#UWW*{}+{?Q%HL5?U+sKNvpI#!vb<A>acWjthKUHq)%2v*#6YoTr0rjeWn^
z6KotXj87*%w}O|CQGP|G4t`!-f9Gu<8&7uJDVmD3hMeWAMjn}gh`_ZEo|Uk%c-4rY
zi;4{*4PxFM3S+={T=K}m<!qb`z7#%RYlH9M-!GpkW`JhZR1?&}f{RZ>%S50p9@zgq
z@ccCcwG9nEPfb_|OpSXo{o57=#^DytV+<I~t@i8Q#>5qxsh-qfJG5+A$@_1d0de!q
zkv69osL1j%T`$Cg#HsOF+a3m%mCY!I=jq^8;-kk!5j^b3RZ3r8$$&!Qza!VOv=Kqt
zaQWMF9<=9=hU7#s&>d*2eKTGQ^qDM)ZDN4byN?_rH3pVa^1j6e(_y=6EH+dF=m~bZ
zUU)+XN7)sB`W<LcdTs7js|Qq%ZAzK6&_UmNb%7){6%o(tMei5_YP~n()>UYuAn*F@
zJ0lHL$+;3AF@e;{S@#GvZNw>T5*T4qaL?&S$N?o_adYeUx_w&sCDmWL+EEpQ&$FU)
z{_>C-;?JUV(Ge_Z?RfsEGNxH6GqMkOh<&_HOv!+b{x6$S_fIQAv$c1`Gm?k8^^uN?
z6KR-|P_nW<MMi<_{m&kXJbaBmW+VEViuaw%KipYIg1evn@b@Y^WSAshI%Gh_uj;h1
z>wXHjp0QSM*2NC)O04Ap3Ys`P&5;{TkjIvoebdU_ws4K1Xsmmqj+Gxus3$szD2xuu
zt6y)6hbQeC-<49(xyNdeod*$9URnp%joDz)ih*o;rWz`|lg=%lARv0a?V4na4YCcd
z`G}{fg7~AnO7so^WgdEljWgB=+^6#N+c_2N+0fpWeVzc{YZbSSCRk%tZ){2DBV|ao
z-gq8ZKtNXLhev|q)>vwgGqZ6{3Eq;~cfUL#fXz!&=}WhQc)>0;5f3FSHf{fJY>t4>
zii;d?C|kiz+hwBht|BBODo?~NBVy^Up6Z#)mhg^}(!OP>2vswQbDg({plQ<T*&ItK
zt~wQ*+(yQNz2_WG7|SE(&1%uYIty6!4@J+%lkv{ndvV+&dH80y?`~dWfr~+XQ#Tir
zp{)48?naOTI2{+A|4y0XbGSzjG|70eep~M@5(zEIQ(DPc=4eXUx0fSF1|v>-Xz3dg
zu2Q!9G+LOWi(V8?Bav}mOgZyyDH$T`{BkKD%}|^$$3AaB#)fhs>emcK*lYfK@jBfM
zg~#G{JNT2KNZcp9CP@h=ZB)4a_GXw`^QYlXE*WQh3!_+R%5cd!Hz7C2#m*_E16L-<
zAPRXbce<p4s^_o9gKD_w87;D{^;3lYn-{6Y4XSWU8T$O}AQy*|GSnWtQpDtHw*;;L
z1$_s?#_q1*qA@*q!RlZooPIZwRN<tKpWAd5AG5jmXgf{y6jH`m`q-Y^xf=L>>Ox?+
zB>#J^)3Db~Wq1|0{(B`r#dwEplFttg?yaUjmEEm^H~TsMEACTqepZ30GQh#H#KT(3
z?y4B-I>a`OrJ?@%E0=&z9CS<veEnvkhI^gI{qlKqSRC3&YZ>Oi;&tu$5f%l~rH+r2
zB()&&vj2tRJO}CBJ9=QK4nK0okE5@(Q2e-Iq(_sB(}^j)gNroaU^kXJby*w2hZFzS
zx^vO;p=4iHuqHNSwB$EL>)@6|4Q<&mE|TgG&HFE*qSteqz<FB+LVd$G&b4y^Suttj
zPgFQPtMD%oVq#nF^Eis08FFOu2MZEt2(2EBdHIkDd$*sntr=$cWPjzL4~>p*7pG1o
zM6ghCZa79j+#E$L)&84L=$N+Io%C0RjZhU=3Fl;UToz}`{|wf`l=O;VyBs!x)~O1O
zsal}<4*iU*fHp>s_%&!t>*A!oMtkQS3#28jk!s4;#>ZD7LV3Zu$U1f9z|M7+_*C?o
z-Ne+vnHDpfwllgQ{`7S0l(T|{Th-sR>pBSi)feb}O&61r)N_aHtZ;9UlVAda0U@*F
znW5Rbc%keRSHYjh1rc%jDku0n-|g+F;jasq9n+~=);2Kdxo<rBg@KFr2HMJhvB3%|
zNDlj91BDL@-#*r3qF%I?oVbyV6X~s2`wMJw*3e|?h947&nN62mZ?F*DVJ`g7*$&$U
zQmBifm|z?ob60-LL|E>E>ct=J@T0$qyETFd*2I!5&Ibmz&dhq}hVkG!9)0hL7Zdq1
z4AsAlIuQDXvq3#POx-t6*g|DOEL3W+;EFaTW=6^vs{{AlrOz@u83>L!{^MPg7J@lW
zm%0HAS2nVjZf9WLPe&__OGiR<l26_$;4$@g_Dz1?7bF{$?U<oLprPQ#sZfB~)8JUP
zT?do1ElT%NH1XENpn|j>h?_Nv?(5b@a^pgc+g9pG-?lWrdNnX<+~BRp)yBUPTYI+!
zYWO~6aXi2YX!6N8lyz7O8p6rmV<IZ(r)=fSumD>7%`8R>9r6>Zjq(OcNV6kpToMNU
zRoEnUkmwlGFj{DvM8;FYnSik}9(H+_{|fV?VMycYhlOMkiem3QrMvO4YD=%_-V0Q?
z>zm56yX4W;IUFYN-VW6hfgZQoHE~68u7}-7#Aw*%7yCEaVQxfURW(`zTny&%eh_fx
z`9xCicUug;?(xZ@s-t+`#O8$)0W)0_i4NOrvE_iW$iEM2Sd+4vu`5juJ6b5I2gYr1
z_fGqcGq+SRMpPU<*DH(2x=S^l5jNPebmKzWMHQr$bf*RFl0}*oDelIIHC7+kdAghL
zfkyj&q_6arh3S3oD~C2&V@`;wo?ESi;&UN|TO(w#c{+YN@v9Y7M`=o*zA0jrmyHGG
zku3gmimGznWQDaNuY-Cm6mjWN+RE6)ayXOJ{CeG}C44{b^Etrh;f#w$hr_fSifUAT
zT1Q*LFl{d9v@#hnBBFhfn+b5c-+tI()&eb7J$VmGN%-%|t4f1!1iW3SU)`Q$fq(l`
zGY_sJVIr>JNyPyoq)qIf*(qCKr=e%Z1~n1{9Fmokbmj3YS^CDCQgbw4R;};*sQ`xD
z1InXM{Phjwf$xsySQEEq#m0UGOupEEZgHss>i$O9z4~m1>Mi39dxsRD;#ALwI6^`|
zx$%705i<<vNR(d|CV_0emTI_-jHRcJ?q0so3>jr#X)z`wFm_D`p4zI2Th(ii=k{_@
zKT0=Ciy<M3QXczkw-WkmT-7Kixsb?MX>zua1h>FT`^K}B@j>pYmNlPy8|TOBeay+Y
z(RWRL@qa29ei-#9T#kz)Mrz9s-6CU=iEzg!VKpqgsl_sV%fb5SuYy0E6p_%>b>y`-
z1slblnvkw>@I1#&KXOD7O~+)cgzl(gv))eW!owUGE5~eoS)c^5+m@f@bv02LrDS$&
z6QAew^ye*Gm2uy~8h2Jw(J!JFvdNc&H8IDF&0SP56g|^OpwggI@ik%2g9B@x<lU?0
zs<`ImaDM$b4VwM-KLxxwn6F&3z1Un0=YlUbJ*}goQrqFJRVW8b^H{~Fohh(sviLWe
zuLb?KYU!v%4xZ8OHDqs6N7K#+R&EK}$l2WXB)F7=m%l@tPv&SKllo%&;5r?+Yg$LW
z;OEg&jXz5%U7BdHtn>4?V}KHC{mRvli!PDJ8RjRbSmd2q{7RXL_2KV@Hyz>UOJT9_
zbxRt2laAX+j52XfB5Y^e7#DQLQ`vKaG#oV;*kE~+1!n!LMI{@|0Hv9g5m|K5G6>%G
z;cOh8-8S`T%nZ*y?AYeHSPN%~_QXPYT{vD|^49u@Im92*9heh*em&S&Q+h!cOYN1<
zvh*zw-5h=;J4YKGcRx2I%jtpZDI%oSX94Mh@$%BvI&ev8+n%{r4_AwhZ>68N1ohUk
z+1hp;_?erqV-D+~Wcvx?vk)un8uZa?UCV%@g^J7mgL;^M|4d8R$eItPB3sY53^-lb
zQTN_k4}>M%J460iW50b%QK&uN*ITHyzovC@-f?%O)Jq$zkB@f^Jk7*L?YYT>t-8p5
zzC^S)gU^lFk-pFEOk66L_^+Xg4G-TSa`7@d+^<|h`TL8Bd9!b7H(Ob7OmKDe`)h~g
zYPkXq|Cl(o=1*(ob0#X^*_>pa<-wz4sC{&piExeT$?QA^5)SSR_(I@&c<R}mAFG+5
z+l8!NwMGYOlN?^RGhp1CyYB(NR}8;<=y63t8`t!G`-OJ^FFk8$Eiz0j>wbiz*XUqL
zBszS}05aG3ZI?L7z$f{ZH@}wBu)V&vc~=3jXu;CvuL2CP>Jr{}eAPtGF9#8cLSX3)
z!~5&j>OgZ)U7odE9Ry|3ZpZULX@PdpwGwS8%Dm~|yjMlh*3e<CW5AB4dpz?|Ehs9E
zSC5`i2CvXPsctjy^D3olmyQ;8=f4eTPf~<}-MS}{4*a~Z;K{Z4(Q#1y_EMR05{Nve
zdN>J)$S||nmP&&Ky+8dTK>_AfmUO~H9)xzzuV4O%iV)<N-6<u)s%DD*)0u~af#Lwh
zxF(MLxPE><k$}rhL0<JQ?O@`s-72zG10mCAN<}Dg5SdAt$mHj8rm|<4=5GpiZAf;X
zJ1YZ?GFP(ZV_TFD-~LvRt%l4)3ePw0k;eHz_s>7fY!Ti&ZA{?%+q9JP<rU=%P=D;$
z-!<245VoZBfQzaMo-lqFJ>V?BvcV9k7)={=mU*qXB%q8}CgVmEf(xL%j=5Irlr=`)
zdKFCxC?TO)ruVMg0<`Z`5N1hP!*8{=)=f1<1S=hgPw`!V;TKWmv;$T+`yu}BlqVTA
zZNJ(JIu?L@(9-zSoF!y-Yi`WCNWzer(;~5WX)L^T%wcSgB@!0ANH&!s;aWYKQ+#C5
ze6qJNeZ~StmZEz+(iCvSBf755OBPDil85W#ERcFFWT^*R0d}7v{Y`htA?uRA;TJIr
z^jC^?rS!_9z~uaRPXGZ|j!_(qGtI&IdaB;9SRVSZVl$!&L<sl!M~-NjLw#aWlb9+G
z$`_YA*Sm<wIsCYA^*u9eZK)GiI4qAd8mS@0rSdqbXl+yHWrhXUxxD5~c}(if$P1oS
zfcA!ff<2R5bgb=M_~ec}z8=eB4knSXf!QuocZLgHlU>aT<ML>(biGoXP6qB;O$#sP
zLOx<}UAe6SVq?UeZxkw`fv0=q)Gxko>lJatF7Vg=r4~lFD&dXo#;>2Qb1>nq6z0M2
zEma@w`u(L<An396)cSA^^6y(*4Lwgng^<Ml*Q-@wy`8=70*9XqO*|2OD>5P~GgFLe
z)bOM*w~H#mfuND{z06@UPJ6D)$}m!gci#CmM|(_hL%eM?wM-Fy%V~8(cQnxcM#lBv
zLsLvj*DV%3qJ;WojV<3<RD_<~T-a1%iU%oDyuK)9G!>q!>HSAViqg@G#s#KWQuWPj
zC_)7Z+lm5Ny)-CP+UXs+Vv0(~z4Ptys*tSucl-z6uSY`ClS^-z;*I{S82yqO-j#WM
zmnzqSO*cC^wZjy3HH$>G-%zlAB$xI6f;P6C`za$Qz`=&BQTGq(8rT}$XSpd;2bonO
zC5kp2e5<q(l-RC`=KS7T{Uip)ZFGOe9OdA%O8es<o2fYYY&M#{n~7&uH$6Y|bHsY7
z%y%6+4H-*f!fpq%K#b2&8}{ZR$}wlxQ~tTBH)4hB?Ag#TO|yU7$;GGVgKdmlI>g`J
zX(&|C#gmAUit;csq&fcX^Y_=nl7`So^HyE-jfXB5moW$Ri~eDXiZ)^;6x{zt>p`zK
za&Z2!IV7iY#@pJpVQV}x<}sy*Tvy)&y(1RrsP?*i_OK3&{lX$Mz4cL1{;oUD*Al-1
z{xVk@GC*+cs82YmkI4Q3cV|;8nCQJH-f3XK;g+Pso-}<Ny)H>HQnbdyhprd=y_wjZ
zOKR*}r;h{09tDf%tkJoGuw(QE6E&1acccF5!8U$`PWotrq33a4&}Bhy=*rpj^?G<E
zJ$w9Btu6F_n|B<DWWi!tnNn<yF6zZjOlD`=q4wcY7ymOX6zTiz+>*;iUgQE&vM&!;
z-D0Z<msoJxl&F!koduDM!?HPiPfj@~VO*5X!oNYA-6c9qNEDb3t?~eBlrv^0SF_N1
z#`BRvwGOm<7?1a-0iJW8PhXK>!NB0dl~EgQoM#BHo2vm1D&?#5a`^Z9-F5frO**{q
zRDWF73kXb|9v72iLgDn?A42*xl$}tL-7yBdtB>6{yp@5?TgPTUt<=QTFv7?FaiCfG
ziiO{89o!pTHE<?|f~njQ`vU_&=d$VFYTva%PZSNDd!&N>K9nQ-n}9dVKiRX@wBh^D
zA$H7O30>-0g?1$XB|75eK07V+tlsOhOo)tXlA)B_exQiCL~3#k9pUzSC27J6D9SOI
zFy!amg#jZ+J$`?tjIthobRr_N{f_V!X`nIq!uO~gDpGG74Rq$nAwgGganorYyq&g4
z`t8-k{&#yFJ9T8>XErd<B+UbRHRtK=c6AtvobxHwU4Y(1(NNNUJD4w?j8e0uple^4
zW61?cEEK&roH}HSL`C0;_6K|}bcH3_?3F;Z%e>-iFI$+~DSQj^Rly$r!re(#;@GqB
zvf+{kHt6})?Q>><GOpi0P~B@M4u9p6wZ9oQaPGY;Ui3~8MmyXuE0M&pW8bxwml@V@
z-#^}ER!_!>Wc9EXU2!xE`ZVqQXN55N8~5YeNcbGES^vmhalEk@@<<N1!b^o}p>@*=
zka@ql{r0>#zAe~uFSgGTOOzvIwpuFSVWL-icclbcwkM|-dRt=SaoV_4wmb|5+<t_n
zN#a`#%WzGT1;}DAzweWi$F5$5*_-K7s3iZ)dGBHYXGU(-SUwRk)<wf&RSQ6Wzii8<
z7yMptZoxa`PQ<O+zem^omd1+X50y9`<|vJ*?Fc3kF;kULyKAj1zFX6ZcDyme(vG2z
zcSi{z{*k*>^id9CwamF7z90TeK4A0TdjkI1s(uQ4LV%z{$4l-XE;6@RRlgo2ASy&Z
zspt|B+Zn6Y7-n$s`n17bKM^9#Kl$c=J0*{o7wk1p@O^d9_hSRiW<<WvZ2R@-v;x0>
zx|<cXanSJABClgV5rVG;YMvF7uzg&0tUi{53#N@bG~N>79acrS)l7!LqR(6(T@Lj3
zpWYPjEDyUM#eY|bDd7+4uj1VgrudmdXzhI|k2ars?IFvRv2|s=?v^}LJgUE$&J9t(
zhZC6*7b{f2*m_!GI>Z#E0kPXNWl2zu_^4E@tp@77xC=jxO|dZBKZVdt!l4=C_^Im@
zBv&|Yl9e<?Vk0@EF`tZg)(;ZvmuetM+}mGp*aQLwN`%2<is;(R)j1|WMfTKW)cH;m
zluG{S-p<bvcJz&h#sgHijvdH*)@Xt^Rs}(OvXybWDpc)D2Mx;|2;&j0CRpfEEzwh>
zg2aHyq5hY2e8~w;%KK=7XAy&Ee5O>9_hvF!vQY~}fqfbq1WobIQ|@P|0|kMXA4>km
z=PUh!OyPSYQ+#S~9I&~hj(m|*y~6Kx@Ww4Bjk?VgVWZE?D@mGAfBJk(XM_QJ`X!#_
zQ&UK{4x19)s0fhUQav!mL_uTyW_1<^hmCwz+?1z5K=^|B^1m!h<gKsEzQ{pq?D?d=
zJ{lI9?E3cP4;%4OK@J=PF5Yiw@qSZ5$M%xflz~BAG-`#7Fq^p;j@Ao1bWjV8S=q{u
zAL>C+*^Og%&<xGIzPeB!ZIrL5(S9GRkH$`4<19CGT;7~$m8GSFlJp-1(If+ixXm=R
z>sWxWPCKe?SO-0)pIa0kGQe!fO_7IkmZ%wzU?dhXAij5T>7V}$Kq<>9^A)p#d5T&>
zqYo38r|Nc|Y%xIN1;4&#QERAG>x$f)V4@;C`c~rw1N4i2OHY-w!PCpn1wD4Lu=C02
zg^MNz_;H03v|QR2uB$%%d-jRXbB~}$GD-UAF-XeVAYq3aYSY(l8L`o);8`4&r-#m)
zA1{5FwnKZy;Rj0s*eH;oT}jx-&&Sb?)bFo&_`><b+pvj^OIpqDnM^iLEnV%e;to`l
z5O06<WFyFba7ywj6CA>b^wE4EAta(UnZ$;Fm(+F<2?j#XC~D5~xt$s1r)hJG1>wgh
z_SLM=Mzd4R%_S;}AZEDXMhAzVFE{?OJ2L5D8a{nEVzmg)GU!z0_aIeT)o|`>DrT}T
z4oJBz!lSs9qKiEYG*+E{Ht(u|1Zhfmfa@XzuVNCDr5V_Ly!7o?c{Ny<J)2kM@8fh;
z$!U$Q4rVz)!NCg32uUnn-Kw?-W|8|Y)>&yo#7j0p%9roIq!PI$6F^(4042&^3wpb@
zYTxbW&#Tua)j)o(WstpUUOLk8qL}>rc`X4uuL?^4i39wHH;(;srs4D7`5U@zGT8a-
z!-m&Zz}S(eHRn92cuN>@rrno9S@Vzw`!f&5XUAN-?rDJVvwXJPL;}4x^h|j!JiPNb
zWU29mKexT=HrYmE2qZWCTw7v?yX;SSEA`aST8YKft0E}L|FI{X|Bg13K9ViRRN%7m
z$g!zZVR*h-VHLaH7TmFWg5O1y@sgTV)7~zG22<6Jm?t(c+H~-<XPzQ-?xu(R2^WIR
z9Lpe$Y6Hfs($e=U$>0*h7oGGH!l9#|dyXeq!@uH&?l(gcgr{fDz275*8jegS<+Bxf
zX3x#~GZgUSrur+NH$vEEa&)lN*$N5kRvDDq$b*y~`RDpZVF>!}YCTtJiKnY}$f<54
zg6A~p`kE$!>F)zw3pFgU|9s$dC7;WpTpjXPK~Yp*5S+h|Zh=_qLy5sg1PqF-KS2}`
z!|Ew}F%@A8%%!fJRf?8FSNNj1{W{`kjjG!8c&|A!mj?u^-jT%?$K{7CLnTl_U!7L-
z+YD;gq`b}<$l}ck#uZAfBu=FyIvd2A!C$c9X-bC-(k=$xE8{Kz%R+3%T)+&zJ4^)^
z6v=?1S-X)~FOAhtQ(Z(-_#Eht?ujgv!QC*o=HZ>Pn07O-dZ@~U)yj`z9<4Ia`|tVC
zRT=>aZP$L~lyhLlzAGB9C5uIegMY47A|jHg6VvL#!S9E@N~#xR5y34Rk5QM0MtX1l
zl_67zI?s5<*~_7EpJ3HEM*&}?oVRW~Zi?Kdd4)nT0%p=;&HDpLpwEjmM_QXAV`k(@
zWjq1WLaEX_a><}7DsEwnnV>=G=-o(ZA`U+4m#81(_q>yAH=(O0&>25RmAFpCf{MBK
zg1*XlxA;O~$|e&`uGZDOA0&^E&1ACiYZXZSeDGkcsR?Eo_pG~g72ucF+PgSh4L3K4
zm$1Z4@XbEz=>rK8n0I>?&r<ka698h>Cu5`<noYLNl5n&3u}0H?2F%j6v)?rsgJ)Ax
z86%>Il(oHzBOz2I&PVs=)EL8IpG(d^x)Pin&EnPs(Li&(-}bNC7&kwM%a-uZ=Q?dF
zQM;LrJ%%E`O!@mXSBk11FHk}B`$?90ycV`c=bP>sFosZ3;Kwv!HSD=9x_!raZB!)6
zG*abFKx<B2ZWBvEz7O&8*{3>K9uj-~sHX`$0uQfk71cmr#L8UucLpAN{=7^mFu|sM
z87IWAXku@<Qsw}Kh4DwUVrdCeke@B|5xYjk{{R30|NjivXFQf~8wYSZB-wk9+a9;Q
zub-`~f5@X$q%x99DGDVcX_pk05=ts7GvU6-ic*LqD~aq`3GsM)zBu>i_<avkwo5V9
zc1jpYc$@YzMjKS6|2C*!l13Wc;;oh-WyI(jDKiS_AW>vU-z``M&ogNJI_Fg|AK7l2
zL(@T~zecaOrz~FWp!3zaq>8zQ5U$B6UGNmmhm$sP2#Dk=v^=4Py#w|8{C4QU_j;i1
z9!+^1@uBn8HBrY<m)$8wJAJrbnefZxqaa3r;uiZ^9Z%z9xEi(^z=QQvWb8Br50y=u
zO3gIDbbBAyt38Hj<F9bMSfPMts|lt<0U9Xin>zmStPwhry4jXaD&kv&<7aah4LGsr
z9{u&y7y<p3PnLw0z^|9}@crES{KE!HBA-m~K<Uly<}@YnJhm?!vQx(^g{NMJmrQYs
zN3EWIgED@Mr!v>Mso~lY!XTHAfDmf=-`OeSqwaOXK4Dcb-dUS}vk7=$akqrJPZ{O=
zt+xz3P)6`~m(mTfKyGS4kiDBSrk$`ea#9g$Lp#3+j{#B#ea;>dRYvY?wQWDQ0_1<+
z)k`!rN4?Xni~6sWz@2?(q*quT?SYSOe~K_iVzuMu`x;8<KJ<8S6Q3*^oWGQcWSPU8
z_0ElobBd@ltMRSpl*YEDjQ5ch=CCz5tU(qkV8}0@7N#zNzS!RM-b!<n>SQh4YNEhL
zhUG(Yum}jXN5`sOn1lU^+tci3c|@=?d}IDAfDHZB-C~!_u|+jm^ht#r*kbQ)ZfWI(
z-@_9l#-8R_vZN7;8M08-s$FJe;zo4IIfY0`b65<iHC~LBfp2Fr^KQx}=!&m>*X;)G
zt1Ow99gxQ4uHRv^|5%Z)X8HNn6(Ax%s&u2h6y_B^9b&q`j7~NB;;Y6$?FGC3h@%qV
z77q&Wf5iab=E5ycn+a5@TAr`*7Q?yEvkY9ZbZGjWM|~hlpng%ju_{mm<u`UtH{|~#
zB6A;0+Xt9o?S<_rt|TEWH9i!}b66(A-3~RKEiuKHdyiq#F97cEMUo*Ee~G3h&Y4F{
zrkLUkee}VeA8Ai1Pm=~03FnS(-YPc}bo@Ae==@h+u&b(kpk^)-&vwQ>PR=q0pT|>)
zqgQ$0us~4{9$h3psZ2kq{AYx#4+evH_j4mxaa(6W>R-ZHF;nmA|BT>p(Cph)Pc9hR
zzGR8bTOwR#R6g4m8)9B~S61K%CpwDH#>8{25VsPN6Ql(Vkui~L>gv7;bdU6R=obGY
z?1DmnD@PijXwLb2FC7P(KBO-{xV1(&*J#Y18qvq|+8oxk@9g-)AdtrQi4M6DFCL4y
z>%-fhYbJk%4MU#kUo(Eu!^80AYk{|V@S93Lv(b(XY0vU=Qq>p{Se{i73O&>tDi3Xc
z!wLoi3yr{VCUEuCX4_ThBBQamhxZUGPHFY8$@DWrQN^SEj)^V|626*m1}k{03;!3q
zV*|FHw@eAG)`3@Q{mnh5tVqAZr5rQPiaw*kytS=5a0wM)3h-eCk@HA!;Wj(`?NWrD
zzG&lfEbpzKIjp!Am(W_Zn*$NMthFy3(gt@-aKe}b8+L?@glbrDqW1P`$5$q8w5D+8
zv=p&n)M&0aP?igJhiS=C=~{RbQhLhz2s^s|I<7*W8wsAqMz5^3(DIzl-_dC!1d`9B
z^X=h5R>U^Ljwvd(Oy2O*aN&R)U9s7T6kdD|El<;WKt;rf*yz*YoA5a$;pEB~AIvo4
zSm8#+MA`P6t4-_gb$`{`)=dCg2b|xZ;ilqsI{n0;6c-M$`(;dY3PMBs+^M)uO>l(&
zOg=xu1-E^9UBMy3V0ORzKZZ<A<R^OBiFa^gAo|y^vAQVe8pFk_PHVzcYUHl}2OcQX
zH)}^Si{t3$6Sp6DYT|8}$W7`1FSg{x<Vq|{AU!@*F56ZUO!dxJ2v&ZiG!8Vj#!KPT
z{q{a4Xksu%j^b!10G2vxNX#Q?OwUTKE?a9t7kX!x(gdMRk=VGUNd{rZ6ctx?YNBBO
z=9?8f!jPZ5JhPo%4vFFqIFh0?amD)y$J<m9SZA=!J6p?Rb@TcAA!V8fUMTWfH5Wt2
z_~=!QTNG@2YWdHLi3({A{o00AakvVcO%xwj0K@VXEk$1{w&mX?{<TSBKf~E3XB#Ex
zFeQ1X^ivV!V#n^?CxueS604CkWl;XBJ-_dm7EC^QZF|-u4JI=M>Zb)2thtL;ElX;{
zY_X3PIVgh{dw1TbHB!T|zNup;Mzz8AG27O6QWo~{Cojq!RL97kwlA(9bYKzno8Dnb
z4tjmZGz?B@K;_;)f$gojc=^#xJ%E`4+isKa=jxiMp^TdtP3ghf>RY)Ty8^cS<)MEX
zrwQ%mORhI$4RBnv{P9OdMKnJ+n)mOuCLRay*IWoP#CJ_I56=lj#H(~23V)}GdrEOc
zN4*j56yN*bV5JhOr$cYoywt?u@og$aiY8z-_T(`>ri{t?%e$%qHPJD(U7YulDV|oP
zn(t>+0n$XDD@|xXVf)XuZ$oAXZ>>7sAE*K;NxfCN$Lh%Be-vXY08CzU+q*eS1u6Be
z3iPaM7!(s`c6kBpr^Ro(QJ{hyP7PNxB~@S?IlRY6(;WA?8s45yP(h=(&EXwOig=<p
z|6<<*bC{nxky59wf~75u_u{iDC=(IL)mSixSxuMBNcwu7StgrVKo0uq{vFDi7HE<k
zl-3zlf_jEzWP7VL#+Lm?gj_7JCUL;v2#XS4OGKW3F(3iv1Er6@?X<w{tG+^Ubc*OY
zb|Ovqe<CP)q?Y32U;#m**G9FE0>(c{?Fv!?Nb9!c)KIbj>sn08*(dTKBdV=d9eI#C
z+P7l2z90LAkF}}Za)@<aX7K*J372}U+j{cN5wAMH;?66Jc0Kmy{N)X(D+)^7;A4(U
z22bXOYo!rnI+=qFjJU@3I`%pHdd{{VaA-X(h0G4|S6}-75$)upw_6VIkW=tQ#BmAm
zELBBm+5aJkg1Q<d2VgXr$#jZc47`t1geDZ{h?^ZvvtL>XaA~lAX{#27euF?z*1ZX$
zRQKBCKQ;onzv7jG?hC?+z9`B@Y=r1iv<mICFoTwATg;7Ae%J<#c6gutPW*U$U1luO
z6!BGAL7(e+VW&tY)t&rC#NF8IzqP^yX;N+h?}d2aUf$RuTQNY`4i_V5)fiF8Pg6<c
z!sc>y-yZI7gha^gdok9==$Wl|WI4!*>qT*b%9ewKpIE9K#|<Nt`#u@__;({JDi5}G
z$PN)+CJ!Baz8S*l_`@a5Ha5s#`*Jb;+AtA(TxvW)&k)%iFWfYzH{itm;+g9KqeTD5
zkMp6|4N&}Nfh*O41<a07`+3&Sn@IS+6`Ixu13x*dJ<J5rCnia$Y%|2kgntEYF8U}~
zivLqx$_VJpORf#h5|bVdgFNMWco{2bYgWmCvFP}OijH~Wwd|&7V~QTyOV|>6=jf4E
zKBk-9|BJ|PZ(1z7t&2uW`>&GQ=^+-%^Fx4ckvOqAkqq0Y3mLWM?cD?G4tUFVGev)i
z7_a1<42;!5x>ouI(?mL)e7UxvBYuTY)pJjXr(gGK(hZ%?06Gw2D~Da@SBbB-2Y=K?
zYvb2&eq^E#9cIsm|0$@VLras<4{26ycuS<jR)^C;;d6l@9X|sc!j$$rx}k*vi}5q;
zMRd@*&E4E{h7nt8A6&MV)I!C_-$Ehm^k55h>1khO!dyQ!TfKk^4usF{Izx}X=2qqW
zJ1ofTsmt)PrJ^dO^T(;p4CtQXa|m@{MaG$%?91OYadcc@d;9wR=<SV^_LE|Ve803T
z<(wuAt;UbmBru}oU-Ped0S<(C<Qa3xYhvy|Z|2l-CNS$XR@Q5C;^22$=+Ao^XlAD8
zw2x#)+-m*t-KJa!?$2M;SyV^ayXq<4EEXKjEsCEE<;JheirvLt>X?XGTWX%$fP^3V
zV>!({2%IdIBih&fZg9%h(1#5QDu-v@8u4L3da0_#RSn-GJ}2(|!w#vq45qLKek^yM
z7`-{DipY}t*W!vekS}zZZ}zw#?3lA-XQNahAHDIR$bC+X-)+6T-$EFF2|<zTnyRRg
z4YSzm!G--phlfXWL}A@jcXiji3P=w(p|sQ7@N28M=j|wt{&#P--fmVw7q6#}P6-d<
z{0vq6u1Mk|o$Be&uT@~ZU#B;ogAYMoJ6pMyrBIQi*dgAa0;8~ygTK%4LwygGmEB4P
zo;pq3Z8IwH8!ptU<P^kCzqWhF9?3$<ZX@~5L={(VT@e3KA%tM_4V;&F<k98m)b5_A
ziuUg6HwqU;*1c~+>qw$N!k#Nm)=>=~U+`{hIVlFllD%a^ii$Y+h5tH4)#3gxsV+WR
z0_=1@j!HKwL0{$+_g@JOa3!xWOSnscT_&~j`e79m4k-JyujkLba@zLMFlk(Vs$O%4
zUk&ogucGv(G;!^y+uCxL42;<2qUwv(;d|oBgNYARxIX;(cWOWurn}NFc1vl(@9rh`
z!VWD=hVDInR!SZ$EY<O=pEbd=$L{b^Ivwzy_<AqIhXVP07R~%HDtLD4=zMk7g_^%~
z#MMU%7!C^^5m=_8n7SocxJD0W%gk@Zd{#sSzuEgmcP+#uIArX1HGpW<>Q&x<O6xxD
z<2Q}fTCcBP?8$$I(0pG%t;4PYZarzm+u>R`n7gFgS!N8afbr(Nzg2MjS+t6sz81Q}
zVl6mMuY22Pn2YI^Dqe5yllomqMeU~$`XQZl&zG}3U)iDt9h-hJ_gPJ}FenFg1g+O+
zzxaBibTw#*{G9slhXz>67z_;8bM4&a!(}cNYS?<iBQiZw4TApL;zhrjgWv6MGF_4y
zOcL^y=}Bd{O6*c)4zR!}qdm>hDr&IPbCB$+Q-A|AV+d=f1*kahP<c)j9J&o=zR%^5
zRKP6DD`knm`Z*@a`zqMh^F2)eiZr5mg&Ub|Es;ELf6d{XGRhwGQi3;%V@&dQ+f@fk
z6js*Qry44uGweoGy!*NXXHQ9f(ze98w=7>GTNDr>*r-}3&Vx~2fAv*5OJuucjlJ7K
z!C3H%qMg(1(Dk9?eqCk(Cxcum>tZ>S3+7z0?`Ob#tb@}#FAJEwwB1TCB8!buyAyN8
z7l}m8=PzF@nd5)rxiT_Q(l{5eZTdswDDjN0I>q&hIrQY!52*D@!rO%{&`IS3@wzNz
zo=?;q6#DOStes*Q^Z-^sslTyWNp5YV<-a>Blkx;u)mm}CGB1qZN_SJgl@8GSQaR~{
zsep97oiT@rASls3mIBs4X|8UI4~8NL^l7y1epbkb+CXWV<E}{>qrK=__+2x+{poFy
zzl#S8fdi-d4QFUH10i%)nnFiCRI*#23tmzCDuR|~XdDeL{n;ZXIC<G*)**odZ>n;I
z9*WP>%D8TBu@y1_2j!cUDI*(9ioG~@H_gy&L~UlvoQ=UELawTPVaA0bFF!8n85-H#
zBi?hx2%Q!DQty}<QNAN9BRFh|wxg<X%keft%<@KM$;Hqib}REeL!Swn%9D6SZE-^!
z%zVw!m$X9c{IP7jDm6yqbr(L_9Ap5VFQb31<t!4rOfPocYZ;;CT1X{NywOKZtH}LI
z{36~B_8mz$^Ml4T6gab0QXgF-Rt;*Fb3}{9<<rY%-)XINJ8z|()r0AU8{`?6X@a~?
z&J7BGqg9&M&*cp1B3N4bBhSY%B4Och)J>H>nxC3ji=mS)0(?tv^o$J?k5h;`{-ADJ
zp5sItSA`C0efN88z5bneGq^8hWVw@;{czg~le!Ly+K)Mh<_!>))G)tuUF|eUy~yE-
z3~jWy4U#s;dWfkS9}jN&R+{`@OW6!@Z799td2UT~5j#|)OtuWYqkY#OyT^P_3vu@Q
z?qAROL{uF9`f|5ZBdy;th547L7C4W~sNc?NC0LZjm452h(!%~~9dt{h!r|5v?p&P~
zLb_NwyyzN9+jM5JmQ`^*@19r~?;LweM4wv8N=YlHQA8~Y7T5jz`+xlxDX#T||NMuG
zPr8a|va-JvIm|VYqu*=SyZsG8{W7(UabF%y<m81kk4z2NWPH6=+(Qz+Wki~(>JwVw
zrZ>sw->KujtktNY>`LN{+-cF2rhByZn9Vj}OKQls`P9v|yPVh(<i>s^Gl5p-$Y;T<
zu7(?BE;{#0ONp6(+tds4w-VMNA1<@_sbb)|PpM~mF>zOK^S4J`7m3nLhamUIDmWlt
z<kQYpM3i6Q{70{rLOi%W=kf8UGMw(*yj;@zlIXZw(zHfNCkh(A_Wws!hOU3JPaM}v
zVpnQ+et%RJv2~3#wfKw@Mv^z5px!AUjQ#d@J$?Ox_?sA`)ca9!-TgjxAN&i5^QJ-C
zmA~@|d&6q(ECod{Tsl4Na;AW|K3c%|JgJcQm)r1eK3V}>Zj@*4Z3TqO$*_$jRwcx$
zbzxEFAO%Oc&fFdIeo5?o?le%i=@lU(;YD}fhJyWw$vdP_NGu4x-m`n@HQ^`AR8^5H
zk1r<qi+*xNge6DEo)A775fxF~GA1IAPn^!rPyer&F!jBezo1o3Tu93sWWOYbGuN*f
zSX7q~m9HL_MXl5j&Q;+j8P;TxWq)zhVP6^1m#JW9Hc?C5JG$_(^rS3kL1ve^P)^M3
z*b&#ap@HBpv1H(xlfl82{?;EmD+rpjD1X@Yw}e*gzwe7jWnii2%F9|-MRclP+k5|O
zGx1;Dd6Dh&(nv7WPj|>A3CAi1-ouYth_hc<gt$&g<95N@MK^^S!oquF%&yNLiQtP`
z(tHfk;QsXbZhF%j;?KbR2A1<}gwiutH;1cI@E>z?#r-;>WHkHu!M&e|&0E<DGsUHF
zTJRI4F|C2vVO3~HJKRaorxowv^Ol4zt-$9<?_1)psh#KB!Y<;F@#|9^7bU=Z{d5nX
z$2;Op&~Alky{|-eO3C|!uf?&cR^i+>!4HI3X2T}OwO(R<sV_ydVrW?{&$H%kC1Q*2
z_Z+x5K%5k)Y`U!`2Ces2`OMXA1YPK}u=T1-@Pv(Y|2`~=*Mh0PE<XH36dajOERY`}
z#2y{1swx)2zFnU^8DDl1o*q1G_c2V^Ww_|{(2Ibx$dcP&wTsBT<L)|t`zKN3aj?|f
zRT$ppj;aqYekC4HgddL97$@$uaqk+*7D9#&uh)@1eZ)o4g~lH4DMBb};(If*5X{75
z*Sg68qJ}7_G|HGE9?Nj>|MnGxz@5tXrDq0-ny(%ay8`D3!TyN-C*KR;i0@K<YtRre
z@=c}amhS@5W1!6%U?_l{e>C5ciNl0gOXGOe-QUD^A>o9@XZ+}p)X%8-{gW6o4cGGF
z{7YPC?wt3Q;fGPY%E-Iaal)DQsp3uJGSTB8*E0W*4>GIPGmoxM5uQ(anU-5uiLRdQ
zYhrSI(8($;oFAVdWcEZnj}fLvee;1I{&~EZWi|?XST#qa6ld7aFEOC2eYEG21uy8@
zyiVlTEf70J9gcSLFoXS1#f`u|9*it3-WJ>NhhW*Guj%Bs0aw>jqLgEK*86?I+USJ8
zM3pVoOk#}<*Yu4Q^mKU;(0sMQ$Zds)J*gN_`i%pF+xo&h=DD#T$P;(q$QrT9;MD5F
zja*RoE3$o0azn-@GGsNF9$7k3aQMWH7OT)ByVAI^(j?<KyPFX|N+UgTKJcQn>qyqA
zByMEN9}oQ<wZ6Z9(On}90(dPt{_9}ox_3vM8U74xfQ-S<oI}TjP~^L}_GBA3*w;2m
zdB(D1gU-d+A&MxfOAbbgP<Zh2soVkPW1A58pMnIZtOP8g)Bm?Miw8byD!Ve)U2Qjg
z-?^?t3YYx<dX{_f;-<#8N8jam!1kvsr!h_jE|LcxYk2aZO(l^nUz!gc=JHY1QF36v
zow@OI7C*LSRCi6g2w>FYqO?*r1ywBJSMII5CTLW~X~(*gpVg=D^ITKJ$`Z@TW8uQE
zm=Zjsy;l@lsEK-;qg5bswq^SA`u}hIsI`sGN&*xqp<UT(>If9(5qFQ51P=H6GZ#wX
za@MG0VWcJm53r4Lv`b?_MAIr@pA1yHYPV_5P~li*Tz11v4xYac)Mr!WAah|l!PIxX
zPa`kta(E~p)H)zLNrZxEqdAY~pL8HB{Ig1aLK(m9a~4{K6v5T{c$ucEhkX(v@xEdj
z$k(Oq-7Tk#EeW2M{JZp_nJ@6%_74>&BGUEbv{W%u?zcSWV1UPR|D1C3bg+kSEQQoo
zN8H9-H=hv$^z(gSi_O!AL`6+y-9}B&{}yyn;WfnJfO0{h5hG0aE9|;CwC?iL2e;If
z8(`?_z4py!W^l1TXKR;2Mbm&gWvN9U8txBGhTj5SO|#OA5?XkF*)ID2Rz0{2t{K;P
zTY%7M73>bw!i<UVt=+mh*lBe`Q~84>S~kQahlgpwG+J7>GIQPYGybX+25YqL)%e{2
zEwF8%>u3s5L)x+_r|`HnZnY0Y=hafNxKcy+k5E81$M%ms=WO70-sO}9D;0q@{&e;0
z^;CsPjaF4>gH!Y;8T5HIA>a{H|3X9neh|3DR%wF@Hti=<{b~rIyZBr_f(5NR0u^^0
zw?U3{-a?<73I=SJ|BkEo5TY9LDz<;DVbVEv=VhuQWUiPE|EgM~{kXi`#_wSbz7x;i
z1h>kgO#iQYIF*e&aqWS9XNDDu#y?lsGsz<I+m)|3Z*r4v{%`!OhAr`~>Tbb%8!0%Y
z#448C@skq<U(dKGS|X&I<*~E9DDGR$<@iqtl8=5zlo}nifa|AgD@CpXNS;Vy$}JTp
zy?LH94pf`t!N945HZQp`Zo+EE)geME>p$c9PtqI>Cx0Cf?`DS*+l;G0uqYWB$@j}T
z0qgymfYgnRjJPsaUM7++N_MUFIqR<xxS1conlt`~Fj>l5;LZ~zf69IIv}Ghf2)PtL
zv>GP9?Halj5hqGss(QY)L(B|xe{$d0y}C{NpAXrdXe~<GoQd;j++w=!BE{rt`yaHZ
zmuv<O|3pZdDY<F$1rsd1j2<iNo~OAq)%>KCijZ2WOeEQ1j8DzI&07RkXqi(b+kc)G
zA-AVCKTxL{gCkJm*1d9ik~YpEL3I)#triScN0W^(<8tfIeKuy&tNDHWl8y*jsC1XD
zcB2uJ*Xm2$m|4lIPeMBXQbovZCp>H3UNBtGJN6u*a(0rpaA@C@jR;vWzgOREvmutJ
z1#h}(ZzAQ%MWenD5i)-4naZsP1{h#-$UPUnnY0jBjI^o{A-%ahhWzvlaM!9hhPQ=_
z^is5N))5ya-+jrBI@PI<4WW0_rdzm4GK2rzu{)yVfn(k*PtWM%cH;(CYAp}xAA2At
zURjK!+T2o_RM&^L?y>i_1-zsT)m8mnhZuS2?5*k@BYH3q9Je-0;Uk9&p8h(VEKYt3
z9{j-bR1be5>nE$u@RJ7@+Qh?xB}i4T%YU4L^`PA<`9XNU0NFwQ*W2JFNrq`YCEP6a
zFeGm%x5ZwNtn2pBVWUcs7IQ0qPe|zD{JBiVU%Eo%YEj99L$9UC{Qo4L@G$BjuvB{C
zguE~*zAsFU>Lg9>ocZ?j#;h({!UEkoMMOv!3;zQ5pVA~b&6V#xri*=-7q7Poh?4*P
z40kTNAVW?im*1V4)J2XPgJzeo80jp3fPGF)mXx07Bnwt_v74)_nNd!h)Q#qtjP8^r
z?HGE4Hw)@Pru%@rgsud+%8+&CVU!%HJe-kw&{Pi!4STO7J4lkV4kwGvmF3Ae%JVSZ
zqk0f&`x8;CBSof9XEjN;%9GpA&QLA#^bj|xA?8{qMea|gFE2SpAvX`tmT@lYA-8?r
zN9KRh<f!d6bwdsXvgEAH8$VZljIIQoRvwimd5z*mpWRg;1BP`x*~;|M@%Pdd>S-DB
zQ5(;{K@mlgy36X&aYX~rZ|&Xso>i8Nm#K<=n4m~j_q`e#$S^=f;u8bkL|HQ8##52h
z?~0^af~qc*4Dni+-`G@0jtn>`#$6<@M4nF)=29;;#KcpLl;cTq<k1SgkR=BtGEzs|
zd*0p%cIxUc_}S!1YPx>msJjx$?-R8z{)Z6^rC#bP2FsH%H}jswnJbYY`gH}j&l$r%
zB1pWfS)L60(&HGtQHjhy(Ux^h+yp#H20Rl26mq3?B71+4B59yENfecsz~->MmEblC
z$@)F1`JRa)>D;)bRdcH;&Ip~+co#+?Z-<1rTz#xST8;-K>2;VwP&|s5x=bP4hNpG!
z&Qi$te{vzT-3&)3(^;z5$LGe~0-5C~WXs`;S9}}H(5NERIv+|QZ|wC+?T0*R=xgi8
zu1vtR?f$K&P82fb__dl&2RYJtgWBnx;RK}kDiTj{Q^*LGonPr4Wl5_9zwOH91b)5?
zKfSkFo>c9tG<;$sL!R5QWxn+XfrMp3tJ_PS?1}0&STU0(-%L0-sI3x^?fom7H6=&h
z9933XG?F6!4*&rF{}h;MI8+ZCha+1=%wiqP7-j||+l-m9%~MDVDItl<pOT7-78I4p
zQc5UVq(xcEl0-^8NJ=Qll2npPDJ0oS-g&>C59d19S?>G(9iCY#uTczOo_)}R&YimW
z;DaBT7o~+pJ@&56<3i9KI;&RviH_k<CQo0zL_yxoLglG0A*lO*7Noh-@rGg2_JX(S
zxG?U0Nz_dtY`>*E{Og_$9+|79`5&lZ*O`&uV>^ZLe6O7`Uqc5ErB0apG^(KD{j;g^
zEFo0=Q>-sJKtuh+lH$HdWpr3ueKfk=7Ouz%Mv{A|NT0j*u9!C&|2)~2C>3D~)_bz7
zTZL3?O^MoG<4?lR<;KedDz=cn*nkzjQX6enWdyjU6VWlG==G&S8xRlLSn`Oag=o1k
z5k?94(Qfv}`9(HhIOpV+g-V*(?dG%cYA69`HeZ(yYPE(nT1>(Bc@&f~)%LejBj7d5
z0dw<>*5G{ZNa$md21*<GZ+zOTgn_FE5(WmXAY1jU6xCcE^`Fy!wl*l?>Zx5j0>i8z
zaK!i8oGog|ye(TU+oXi?l<}~Al2*VF|J|-#sES8*$LHA%D&f2qL;k%~OHfSfJ2WDv
zihGN;?+l|8@XNC^Z))k5;F%g_eCv=3mWAF5dKW@KF&E~0wK4&Gi1Z%unWuu^I4_R%
zbrNvHIltZJD+Ew6$IkhCt}?d#JWeuNO+-B(@stA}`LK8Ix-~i*lriAH;k>N3L^Q3E
z`QUMg4}ptA!^>I9Xu?;CTYZp(VeNmk^tAb4U(59IkWt2y``(^PWRsEjx${4}IvyN%
zv2?xqmyD4*Y|6tQWVAZJVZOo+9%xN*pIAvMqdk+>8&$20ehbpW`_y>w+3noPI+`-N
z?cYl}azzD$nu21f%@z>9Z-MyR)ykMfof(TuRmI?Sr`rsVSwN=8Q6u9s%D8W)`GW5m
zHGI}?Fu23P0_G3B9`GL&oqy9)^PU^(*q0)&?J8#h>@9XPhHff&qC$D^g9Z&GwH~!y
z)y0MAJI!w9&sDIa?#;S_2@1NXNlSga#RdD8D}0u>Dt?K*JY{2{g^zd=c1a0b_|cG<
zRWhxL!hxBn#%OJ%{qi{170iWaSxHH|^3~Aqw&4XqFcl5_PrY*U;X?V{$=H!?>Zr=K
z^OK^{aA$UW{#kb}h&Rj<Z(3<!|9tO_GOuYk98~s#>nS>3xi0jN1_f6+@%xvY(ZQ~f
zb&DG}b75;2dAo|7Cf?t$bmq7l9b-2wN*jpcf*&a_TuMd@pZ{|d^C9b^ZS6C2&1^3C
z+h;~+C~4!|Is4_u+I3O9wI}p*I~Pm~-E|fcsmSr;OIxMs;f2S!ZUrO@=-$biS$>s@
z2e*G4c;d{!c(r8`4>wtW%x%sZ4K591R9vBNmVq*EcE*DH7T_9f?76LxhM8%vdm?j~
zxJo_Ti%8?ar16dAZJTs(REkovauEwd>YQ)Rrt#p;E6=4ku7iZCCGXmvve3gK`EDSY
z4-*8w+V(^`CS7Pu*lDAW+uL<Dw_V}G?a`MzdewCC<|DJAm<)Y1=2PXXcmlXll`$=O
zO&2ZOJ@}cO`e^0)v7n|y0JchU-Ph=P7#ta4nlhn}Z`@D33O;BF6aGP#yU*$2qrLgX
zmA~~d-@1b6%dmoaF)v?TaR#1$aN#5Ug+4B5`bq9>wSqZS1#z+K8Axff&(Dk1$GbWG
z<s%2I;aJ<>mq)KLa983)xv{c7hJR(3@1WU$%(3IES9CFuu4$opJDP><>_Ta3wGF%`
z*QR+*GBC?-&sL{qCNkzqt9)B+3!UO_o@d3G7=Ov@fz=cP3tv7;>+P_Gj%9x?ts7@x
zV#fC23Rwnf9Lek3wL%Cso*z38w~6k1ir+-Llpa=If5VF`5W*SW=BeQG418?6znb@p
zj+${DFGKza!Ts*z8965gGT9LcZ`yTmgB$O<p*q0ePRaVpuX+d{%-f!p(y(Pwj^t-U
zfLAy7jJxgCL!<R8<zJqmqJzH)S;8D3dbDAV#7|u;Tho<r;jb3nOsjd<Zw#<JG2^c7
zMqTW-j3s>dM8P3vb#E#iphK6>&Z(tioNu_!%3*cfA}M?yArEjPbv$iMlaB9f*PNWM
zt%e6z#_uh9FNAXyieWvWI+z^fz9S`E1#>Sso%cK|1j;w&$$yV&7)Y#Sm5YgZu>1AR
z0T9Bt(;Kl@YBVfzlx}`=kA&VD**>d2*g~;}Si)7&_a?0+HKCnF#Hpy`+qZ?=!re*f
z&d(>cv5w>8nt6wS4%RAtBeJ%TlC<+U#YqeQ(my(9k13(EMANZ-={69|+$9`R(ZsQu
z(#hW&m9SIJveA!f1B>-9-gq~rfin}^Eha}5F;mSnY5ayY%<BtZ`?Fsizi_`?>&sU}
z18T*L9orfX^fEn4zpA06Z(QWZ7)9LeIPlKuwiQ&AZs}Mdp@!|IH7V9nidc9zCij+w
z6(}gLw>!jDMW6TXFFn%~@oVw)yrmB<;dxee-Q!3VJkY1N<jo^R6z;8#$Z@cQqhb^1
zJl`r~g@bfhuDlY~l1nmIy%4}$zpAfXH)Ztn+HW(sLkauxd)8F=2q4<rJ<+0%jPtBF
zcac9Rq1mUL9V>?TP*T!UOpGJr%lKAd?^Xg1I&K^ah~|ULm9$m67n8A4_s$~wxkU8(
z6+9iN&WGsS7xd3WG8)@d%nvIf;!dMZ_q;M5FvY%li~k|v38ObBzw994rKa-B2iNjI
zfxAQ6eS(DFM<0!|t;lFTZ_!e#84FlFPGjzpAtNR7O`?ptGG4smX(P-PalW!Sd(eoC
zozcoa*NS}QUhWX~+0z2H+TBwP2q5F<PKV+7^HlNGGD(-T1s1@l*l{GWl#CiLcU+*W
zsbO~g?aL)iTnMdp8kHm~V|ek!FX;kxe9pyJCCOZ9Zq`_w9IuQ{(MCJGwrODe_qtpK
zZ!S<L+8_2SsNl5Hjg|H{DR`w}uy(027hd>B_EzVp;3?BIy6j&~gnv=f-(|UA^E6EU
zjjJj~9_}tQ^47+#4-SiyhdIF7sk`jU0yRuJ*UjI*nTk#&sv0lea$r&G;J0J%)G*^|
zam+=!=>5Gj8oauL1KBMuOO{lr<D8`~)s0_h_|ed^sOmKbO6CVSrxt49?wer&vbS|`
z<<Ea|^#dGO;8D*nEu>)7QhgQeC^{P6%Q&kj!G-15m@6MX)I^g@FMXq&b@9t&IL(pG
zg{So)W3k;@$kZGRchuCwTfZKci2cU}y(ns7ix?G?9&<gc2lep2E<5nibuMiB>X4ds
zfr^frDe$nAfy4Z~M`IIQNKdYF$`;U&(Np}TVILD09K7z^B6=<=%&t@E-86L9S!Djl
zh=uRZyZCrKv49Q5YLR~r>fqrQ4eTo&EOcr~f9|}52NstvU!-W$Q9ba?BHW>mXLyCu
zx-WU4-0+MnQ%%P|j*QQo@A`<gC5OIl<HNDObj<M5#ZAwy7`|F%fHwpE>g*SYdWKe&
z9X70spGsd)($5;;v5^h9?V$j&q1~H(Ko8Z#u%fxb0I7!}$&^q_xZY8kN&BORgFeT2
zYs(Gr84bSX8d*Vmgkf9F4hHU6ME~^WgaQ7@yb$~Ms}<~Nz2Otz%n<ot@aJ5C0X|In
zxb=3nHRwC`$7^UXky1B$;`#%9RCUkIH}bN9_$Srxx2$2}`4bC^`^ox9^wUmxEM*IP
z$*Wp-_b~Bg`+;=fau#Yh=di!tu!S%c?<WnBOkCl%J~YOgiM7}4>+N|$NM5#a-M1hn
zE{u6=S+tsgr`8H%ew7O0hQQo;)}D#_UmP578|$IR*NNg51pr94z7ji^iNCbgvzRk<
zygxr#>M0MvY`jeWY`(}x$L?*MTcd-DXGV$#-2f6<)V3}w1}@EbJ;RNr;U1q2rQ|ID
z-+z({Ln`!;t#XUM&XJ1Yoo%eh?EvI6jZ260^sp$HGXE7@3w2D#)vs>`n20o5Mvc)$
zGo#c?^sgE?xH9LCi#tH@83>f^q~nadcCB=i8Y&w0I|f?;>`!d&ucC?keqcw!+czpW
z<YqRas0MI*eYVz;03FPG{=;;ZqKy5kaw&!Hgb@76vm-8_hD{%u$pfcJm_sYfsEZPU
z6s`Fwe~60L>o#5uvLa%}=}kc?Bq0pxtk-GgP?4{Hb3j7W;rpX^`>?LsLah(g{{0+n
z6zgAREU&MG#y?)e7JXY-+wjJJ`no34RuH|_0u}L^f1Ky^O%dmJ_Z*b*reJsV?)?F`
z7NAmiPTmGXkrxD>jwkgru*TFe*Q{Fs&*lto?asA^oTI&ek4UKFNZ-qQ9c~I((6lQq
zR?ixQqZ$HFQ6DPz?_(5@70_abFxmO46~wCa4iaQkF<LYIyRWhWS_e`W{?WFAsl^nB
z)eBY7WYzgn&D9EM6?>wamt_f8cGcm=AZ4U<@a(Uk0(uemZAhhB!bm0kmSa5`EiPp~
zaoe;27n}GF#b*mZv435`TP_*jl>Mn@C@Z4l>(Kh6h5~q&JUr7<CF*sm>YN+NiYN{C
z79a2OL3LfCLBU26<}FZ;_R><qlqn|npB*3QC}lUPLc;%cWHaollrZ94WdNf?^quMw
z!<k=**l8mXkiC<DlYIxC=8Jm1JlKX`+(g7i|K!7S%!tT888-e}ng=_R{%e$bLd4jb
z*|`fON!W1gK3hV>dFhn>Sr591*l@IG{LTOgx0C7!k<J!CFi&0O^pA+a3&Spq_mI&v
zYK}|hBo{IS#e3HBNf<l$@$JM1Wn_gGP1facA@jjLub5*boQf-V9hgwT-EK3V*ZOjy
z)pYu9oanq|44)e_T54#NYyJL-HW%#93Y>H{kdZ7ezB*v7Ixdd7cq#c42cq7WUe@|T
zMtQB3-ixnj;Bd&Ca`QVJ@P7FBn)6X*tlcjydEzex<8%0?ixW5?5VCxt%~a65_@V?c
zPz#B=-MwqKa$s(bV$6v#6^z=m$0OjgHa>Xi;zC)?0S~vFS<|Pg=*e_g*k3`#JG2PO
zVtWq6GB#Q<i`6iBrFF4PJPjLvC*6!)%z?qp?#ra|)RCpFwEU&F4!+p1Vldx{13}>h
z&GvURaJ*Hp*MLXI>v^xmBK$b;B_#6!tA&EW$z6AHMEx&0i&^*ML>~EPJNsZ#6CeAZ
z-yJ=!iwlZ`l}7hDKxjI<tlCr?U1_Y=#7;fbpLup9_74ZNx0M>USW$5rRo79=7}yk^
zXS?2s3$KFTYq0x8eRZ_1jD3oUaj*53&<jMnhBc^HmrO&w9~uhujVufd*xaF|WdV8Y
z^aw4`!TJ3XM<jLhaa4Vti&K^boO3*W`q+pL{#mA76w;=T**BRk9wt2CFz1qHv*?(2
z!mOh**Z>n(y~~e&!Gq4k*Cmclx_B|t@15MR0T!929lsjIhZ=%RY4516Xiw6<CAt`5
zf<%3gq(A`ns5?qLt%n_V%6?ovZiwKVF|}((0KIB=UyJK9u(YK2KeH@Dl>2(IRr{$W
zsGK;NRgo*|>g1}(fn$bfDVSaHG{XuyWs<@iDNNMf)s-9uhNw6ABjL_gYdE#PSMJRL
zCd!<ide`4*faM<VB42Q9pgfgR`QZ^0`?_OYix?vBd~LG$G-(4pZ(p`Be>1UJ;z-lD
zyT}XgAFZt@7I{H#r{shz3yn=4nudF`kbJw`a)qZ5LK326O(j|QFRDyxzmSQQrqj9-
z--Y0iYii{8k%>F&&i)CLWZ>Z0z4t;nB5u<=Hnm=7;)CFff<Je4@q;%1>v|E-=dYHq
z-0#f9JvG04=B=Zn&-T7O(#HXY$Un3Gy<uQQ?QG?<aT?av9gH!%3c$}B9KE%MfeQM<
zVrn`SH`wVUO5750{+X8N(sDg~Czq)a7OjOPFI?G@c>o;k_JoOfdRXi-)$w3l1BV{I
zd@FYzfRXFmujQhPl~%F!cA`BV^5yJe_F(|)-WGow(Y~8dYTEl^vkI=c*q(aD8({iz
z-@j*7I@t4x-Bb`n#$J8;@B1bIDPa>d+6WD;RM+VAh&prZghXJPXxHc$@628&+Rye1
z^fGrN0v@a`d}x>`1QQ?MYmV+zR1cb^Z~ml+@ph}^E-es3U%gFU3q>0@_ZMxJ6!AP<
zEXam@(iS+EQi@74H8H>Dx#y-yd0ZGpV;z*X1$G>qsxzTr7d!0I`P}&^_x|1MgON61
zS8{w=N0&M_L>PG2mdfG0+H)_We_F%M_?p$K8ETjpNr)>T$>Bif?8|C@Yw+)i6lm{K
z#gX}&#nz!Le%s}@&aBG{_MK91n)X$}{K=y$jEiOQ$iuMwTTWK6<&UMq(qLu$<GtsK
z;H@l{z&_cYT1!Zpi9X|ShKx0jONVS1$>H$%Ey*rcmXOw2^!;N82_KryRe#kXhrH9J
zzENc&&bQ3`?J^_bnwnpuo6gP0mY=iSW{v<hMR#8+%q1eVu<QmURvw>brfQ~^@xkNj
zqwE(vBF6P|^d-_2@V9PVnx-`$LYg<UWV|P!;8JW%Q_});{#i3|r=AD4QD(iKSp+l}
z`Ys7fQN)Kb{lVwg@E}Cu-q?Tp2>5j6$~XxZCET)#xr6lC0^SZS(^d2*pzWGY^<NqU
z<Ot5TZi%#jFP*=y*9Q<#F+pP`Yl?tQ;z8}N)hs~j_x<COhY4tCSfcUxv&b8FV(#95
zz=cb+YnCQO1U%XE`xNmL34OlSIQsZ;Aztq9ed$pGGRc-wp<`rZFIl}?Q;7@PSNTmC
zEhD0fa*(PgSq0ah^h?}S&jI=Gt<(OcL`;&-o^P{M6)ldm7M(rJfsGCKEe@NLFn}<2
zI6X-XyF)`}t?W3E_jKx|?_&~<-e{6<`lODH;;+hH%X7e>T3&o&2N|P!*eTT26bzg(
zV@Q862VOron=_R$Ol@1wt>>CpQ1<D+Z4b@i`O7VjWq&K<5|2dz%Y3ylL?n)T*UaJD
zQjpo+p@JT@uO=QwQ*lYk&5^rl<{-R5{ciS56*pU)cwg*8!{CbZiJa5sa6+Bf!)jB*
zFGGp#&qRE+OOSg*IByQ64n+mSKh&|rSyoKZkdD){>`VM&bI_ol`a7jg!JDT7_tG_V
zakyw^bIL1osD73&e{h{9mWu@|*)7mR%^0qmoD2tk9KEs0J68)WJC{7>h&U7HRZtYO
zf&=@L&SomjrQ!?5=9N~{3^dyoIqzAP$agghI``b8qF4ID^7(^I^xoC|AYPIStkXxg
z>4wrU)#&}9<~9~Cxp%RY8_9*Y=In*nO+~wa6dyn+)<=V@?GGfRE#MyVJB>zlkgs%d
z(O`tA!`IGKwOq9TiRUAgS4-#^BkpN7wa^eNH;k*#xbWa)((XrTyF@!@y~NIx$0D9@
z{@}kyo)7Hg;23*-JybsF*gs~)##3TTtB$<pL((sU{QTE?xI5M1TU-Jg2{>!hd|Lo-
z{whQri(=rj+x{C3^Vz6<rNQ1U)e^$=AIOK2m}pqNz%Kb58$BJ~CIv@WL4B!kLOg?s
zkz?;e)7;qjQ4gGZ|FZ_Oz!z$LB5s$jSv#Kb+7K^3dU1K$(FWFP&b#=>i-qeA?-e{@
z8KU{c7vhb&ws8LUWZ#uE7B*$*Iy%@JV7|_`&{bo$utG6@^W9<=>fFATXKJF4#W6F|
z4Y!4`<=ynB#|13>yVUJ!+9(t6^)C<D#RhQeZOS!0&ccu_?>7)r8E7KdK#&Lph`3YG
zWU!2dEeVs2@#=agymhkO@usNH-`9Vw8(`v=?*o%ZQ|LH)Vf%xvuK>KNdP91*GtpRn
z-?9f1I_PrQrIa!R&=F!$tJTgxhnIgGk48{Y^Z6%U<|KgcpWjmDOa@Z3E4m9reUUvB
zc`aiMps9bA<(dFJJj}b#o6ym~g#6KB%0~d5qKJx*>AFZ}>ds9%q>A6q?3_AS4<IlI
zQ`z%Sv|9%6ZIV$@#*~v@vHVN`c771d?Ge4-ewvhjLqy!MQ+DnL(H`Np&a?NOpy7SP
z$%odm1oV-nBuf7OKh;<<k3^*5kMOB<wy5V7P)gi>KnQPtB-YrQQL*Rx?(rCs0*arQ
z9%A^4_C?=*p?{GU5+X8p4!@Gah_<`lI&HQvbm3Y5Iyp^bp1q?IAt#IF_SV8RU<+B>
ztAmXXYGAR-h(ukX49Z@MbcxNk0rBd;k)5LcUtCS7d|4`u&-$EOc|;rd(b!cToui88
zm47zo5T!A>X@GJ4fXEB=Whtd1|Jey_3@+73;YFr#`?G#4u#dSgu@01RnU^5A>aG-i
zU2HhA-^B_x^fbT+9vM9nDzd(PkwW_JD!x;tC9F8t<+R#~gsWyk1%Fpb<A=nx5sikH
zP;@G8@5V?XUi$Q%`}~_Ul8)C7d0i5~&+CHhqm2Yqny<cUQLzlJ|FQb4D@g!r61P~%
zniFu)dE_E1a~^uiCL~QJ@u8@ztAt*rgpc*jeeDZn@qJH5c%qzWkLS_8{B%{qw=Ktg
z4L-=>h7hU|B=O)wsx>E7MhTtnA6sk2k;e>oX5LC758|usq76Gl`|6X$y-hb1&@<O0
z^IN6`@Ty3mgZCAY9lGmDu7)DEIunmAH?n|Kc0wPyOcBrjK0kK)mm)S^k&Mf&;lk?J
z`mb{v6tSVfY|!kD5}wE|Cfcv(LVb!^3iF2|UX-dmH>Zt&D^n69{iZoEZTez^JWB~(
zogez8y&>W~H;)i^5wAWhbbaQ%UkQ&qFs{1#n}i3X_U#Q>&VlhU_pZ)vCDeb^boM7r
z8DDkgtke2y4rCeUJL_BtNLZm@y;9_DO3vBJr==pUDwQ01^_GBbhii64m#QN3sqT?q
zd(46HaNK64=>A)Od$(dKMID>I@W8;v99j<^sp~NzVKRvwWqnQq5BbzykykK>)OpJa
zFHe#%J>qjpi=ig&vN#g&GGGSZ`u1B?zanD=->PQeD=kcp)fg>pG6UUPF%@3*%IMc5
zwU4rlin)}>|0!3Rft(njJ)uzrZ#4c97MjseV7D-5W4Rer=Tv@j>KA#WCFU?NbnsH`
z`n;3XX7Gezf=3AIsMt)&{iQ=k%A*;{+wErHI^lS<-Aw~mny8D#Fm>_P+~sq6r_G@8
zgj8s0J_YrQuQu|`^w8oHbF-z1In3!hI=~}p;hDRF$tGZ6YCzkkH~Y+?ci=)2AxRrO
zxW+{RtC+aHr7@)SxjCc{h1|3`PQ`6&Vn|1QSojV18_QaAz^O3%-*FEb4kwl!`|PKW
z3KuU|+E;QQqsc;kOmy9>1=ZiKY%stTx!=1dS8+kvKF;>sv<^bhaW-kGA&!|GX|b8+
zLd4o(U#sVIH0K0*&Z@C7!=UJ3VYvl#UR&5}c2yS_n~h}@G_!Gd#ez|%cpeZ*-j%y|
z>EZCgt@ri4jWBCKra536AL0)mew%2)z<5UZwi8uGnDW4+EoQv{GK#iL;RplwHjOfU
zhK#ULdM4G)(-N`|+p23_V4~&+`XlkrMrgaC!sL#(6`ZHFDyEsTaKY32wN_V*aBw(c
ztisP4k|HI!dLqti8U%T#Y8qhzc^Ruezy|6Z7{x@QKH3QQw)I|Y{Kwbc<LGA#CY}E7
zq_z6^%J93j*m^@0TV}EPt&50blJS2JhwJ0w<oj>M=mw~>I8y98QN;hC+ML)heN5Ns
zCjO{kp+n+G@Jt9mc$RLl-5Pzw;lq(LEGBN&T_ibP3y^W(X5Z&|`uJ{pZ1Qx39(IqB
zW-Y}Rfp@rScU~q7Q#7`<COx3z^1x4<x{MdW8upS$PZU|Wi)Nb<FWM1GVh<eRRxE-D
zhT;pqEliXPm~JrUQBmgj*0SsFi(sp4s+ZeU25t(ud2i7IP5kA$@h{C~5i}R^?5CdS
zq0ybNk;+~*{IxCkr?+4ce4joPJo`=;n=;=UsEjD1b#GL<wDKZo7gM(}{7T1w0Oiy9
zOGrrBWh9vM1z<&Ui3#(&4kkx1U1h&1q1fr3i)MuYpJo#hy}r}%^WyV`jrSIy_BHvk
z$RGg6;fBnoKd2b*n66K=oR2~KiSsTq02(_?qvi}~<JkDAKu6bkNLhTZ*1b#!xj)BJ
z<s`JQXV7|zJt>9fytZtZP!)no&zSrj4h5g}-&&JRmBfnb$8CG|+d`sHv1%|<9Zg0*
ze(|ZEixcO4oyyy6AjP@O?RK9k_8h#rq_jaCT`#@jFE_RUqxgy`O_3KQ{6e2EH4?{T
zp2rjdj#~pML?CfYN*Pn9Ob_ho7ekhDoP_vSE117uKI%*Z2@N|3>Qnl}@S;`Qg^s0G
zFyOK4a*(L=9Xk^9jI_itw5QuR^rj_{66eigE&+9}vyzlfiKA~_JHt-N66PNFJo=+S
z3FA~<0$di(#n?9n7t<pI;NCq}MwC>->uHmIX5(`)F?;ce!Y_RI9{>OV|Njh^cR1B;
z7{~1yj=i^IAI>@U{N0F3qCrwtR+N`ylu9a8$Vf<1kwhYCY0$Y54N4i6ls%Hn2qCY3
z@8`On=l<jQj?WpBCPghT68h<l?xFOvVXBD7%_qBz;mx0!{c5EG_&V%DMEwLiT5<gx
z{{GGg&cpqNjZOTxt<cRsM3NJ`vt!+?HW-0Sd5m<3JU^Nb)v3jMb0K5IWQw)H5cp0!
zApCCfVch`^8`*kpBz4>vvfE$?MybD<6?XCA^f%{_W#C2glPo2a_XaT8`#tiFF&|nR
z-W)yrbsbh7-+iLT%>Xo*Ziu~H&xc#C58v`j=f`)j!j$+^A6~Y~T0T6=hjH6KU1X+{
zP|=k4xW`F-urg9`J>AKN4OPX1QCfl+Kr`NwBdre??e!Jhz4=ijQ+!>#fe`9?bK0M%
z)`R>l%kYq20M{4OcNlFGM(sCD#$LX9aH>wi8wLgN<Gvif2eBeJRK)6WiKGXS+80NU
z9wg!4-mNcH>qK$X^`z#7mvnes)Dm@?MGzMY>W|h*ierrL3zk>0bQq7+4-G02M8Wad
zlNDzruyTe?xWSqZNjo<#9q|#uhllnZWZ{!SwzCSxTKshQPe)B)9ZeYHj<HRYl}h6m
zlaa2w{WQ3LjVCivL<9>w@-2h+%3|7&)JmCJ8hrb9*wKSe6jez6p$}>Dn5p=m*6vao
z?3#74os<^Cqe3KXN>M=noj0NauG8Q~YjMD35J!fnAg6PhB03rUsoGsYgQvY)m989<
zK!sm{7sm3GkazQIYEUH&_L0dCdEQB4N)UU(tw+je(KX)n^#cvktTy!2>r11@Ytt8U
zUsRAGy|Bo`Ob5S<+|xVm%i#9#bQX6ORW!J7I__md2kkBK>;voNFv_cj_ME1MbgL~7
z;W8Z*TN_YnOdg3-?86;C>d4!s?ZCmN2TCC`Clfv@V7!}DY48ON{Q9JL`;T}%_<@CW
z9FG+7U9(%w&L^6fdwnKsP(~lr6)abruPLGM?*WTrAGOf6bm#H>W__qj*YUJWR>o%%
z*LHpB(8h#YfmIta4WN8QE=e$21slh_@~+lUP|I4Z(l6W)u9Pip%kd+l{UMns&yzYB
zu+LujS)dV6Qp5Np?NyOCVz$#;R2LIh=5*x_t?9*PTfH|~4ga$_(8C>}ivkOA;CbEz
zlD@}?e3@25?gpQbfJ|K+^qR5NeP9ZIs`PAcma1cIWrgCKP+hD6sG|3oK`LKYWxKrw
z-doS!c#v5amBapR7a>`|qumY1ue{U1U-`6s<PAD_xI9AZrLiS^4atp2)zL)Pe>b%s
zTTzg|xX-hB2LbtS1U<)sH1W23(=V$zE%b)a!ftH<RsMThJCAGP!da)&#%t#TWBW;M
z1pw3y>2mr0nkeoeSjk(Wj!~O>O&i&*pb)iWT9h@Bs<9y{<Ao{?l#%0tc3Qzpnz)AJ
z6Ad&i=r`1Tu7dj&&zV_eSV2^OSinxQ2EMc>J^Wavg#SIC(SG#A3S8=U%k2nJM+2Ru
zYx4yPc&sw#HSb$1$S&*ly?aRwy;>_Tr#s1FRqVaVZLh3gR^s~Rv|Fn9vbmVrlp%?{
zu}ysX_pKly<3V3~J{ikDekcCPi6KYffuZ;3t>BV)H7Pn-1yc*nq@0<A(M90GofB?r
z_e={{&IKzY<-4`im<0(9ELFtrOIbk<kHJPidnIJK;CtfnLtZSYjj?NJ1rWKzvaVQN
z5#yee{P|VFiA?j<_~AH!f<om%&UFen(l+W~x0MZ9-tw-nQ31A<jyY_bl10j0|E2@i
zm{Ill#p(1)0$O4QFRb)PW9~?HS1;Ep<4)AYAca*+=t(&cd2eh@M-6{Vtp}GF2aS5G
z$L%fQWSrCRJ245opWXIR@$Mqy%a_pD2iX>|c%tn~fv*_ua{VIy+-`yK=xQ%}{eU^t
z6j2ls+C*@+!tG6D`aGl1FTGMs&m5*k>e$%!38Qzus$JT_c}Cw$S#RG2Gmvq1HD{9(
zLhqaya%9Uqqv~)JmwJ~eq&Mdk{+K7>C7uYk{+tCy*S90W&-G0~X#Jxg-w^?P!!aZA
z@%bX-uwUA4mkbkNuifacufUHS>YJ3dYA!K8cCb!M%^E|d%ZvM7m)4=&W$VXwoy!a*
z$%<vg-NxWvf79i|CSE*M$n{Pa|1rw%y_h`w(g><=B`W#q^Pt`rbPNh+LdzbBD6*ar
zh_M~q%i_$9Ig71ZPoy#9X#9B}+ATu}oUqM!Uc`lM9h>{*U$bEHHL30!vWCEM>azR?
zRW7_Z?x4~o%7!8j9+2WL8$gA@Y(s53C-NQMoj!bo9rfG{4|Yo$0R2Hk;GS|$yo6?9
zJTn}qcUz&e;hH`SJC-gyzRQWbnZ4uBpXS1LuM6j$)b*ipT{er=XHImLGe0V)&4Y&}
zrqpvD>p{fjbFR<GT)406>(u)xUZnIqFR$OU=2z1j&5bW};rE}1LYG_lklwlb(!V}B
z@Vl`GDbu*|Qm}I8rVatT)j^VtUCV{NCB`C#<J?$L|Ezn{3JJA$8C*W2M2EBYzH3Ln
z<H0Z45fd{?Lb&&qkdki`4U)o}+MtyeU8Q1$j6H;LvE6i6*ijlBD!L$`zPt|q^4h7_
zl#3wmul4`QQEAW{U{S#9z>jeW)7Lb`#4x?_pzqILRQO$d<1K5w00wGxM5^S7Bl~5u
zxc!w>a1QD6(y1h&ecQrsO9M%q_;2~&<`Y!dPMWQ3%o4;QozFp26H-{loBL>|GZo?n
zxW+}(g|I2Y$t1Q>25&wtSPIprf{PN%?a6#$^cTJEFjg&xeWddBSLLZt>ZDIodn1A;
zQh3${1u0+|lT{>#I2EFtf-l5#i{X$>k%DUcS{@Z{N}ZRc!VdQe!73kdJZ+rJ=W|yH
z!}smC>(ixzrt7Ja^&Ju@GCoT28Bs>X?R!{ut?g6vr0ZAYUMajGZXeP^A>&N4O(ZFq
z3jMTW@|K)3xO7%-YA99}CBC<Cbaqg|kcecLZ<NJ71yN5bzp5eCC-rx#Ar0E|LeFzu
zmB*_(UB44eHISU>vBFnDgVW~^*h@7i;K9%~udBJ5sCVw}QAsO0$htNDh;2|rFT3K0
z1G8Ev)KT!*VuB7bt7Ff4-znij^Vxme))b6w4_qv%(u0oKM1$5YWy}(_x)~g;gOzn2
z+n2BEgMr%lzt+E0@JLj{b-fF^7|re+E?Qs!F%*l)&?PdeUjGnbO;9m%`e}YU!w?i%
zCwjWs)X<1}vSButibir>odfem;2FG14rWzHIo6)3i4H27lV^(0*qT6^df<}Bv^uK&
z<l6K4Cl#~U`Bsk=nu62)(T4Qb8aQ1qv^>yG#fK)dnae!p5IR%4|G{ZZ%==*H^edf;
z@d;W+J>eFRoEuz~C8>pfdoCr}%TkeEHD^ECZV7Qkv-0t0wXkD(aVP(r4zjV1y&?+%
zSda7Wzx_%J8x{ZC#o|gq<F<tq#WH{<nNr)}Pg=NmB6UOOek~m5R9_j^vw}ON0vR=x
zT3BCm36%&93_5aC>~4`2Om*8=JGg0K%CE<hmxokwZ-(Nt%70c++R_r5`(6_t&C}!F
zhpC`}%kF9~3u_<^KiWPlqKO~HUoIESD<buz*Y?1@)*x-O(6UI?z;EYI9L^V($MCG1
zy>|{+!xe)|ZJ*TDk;&q*`Tj5|%;(^stn;)6+UYH?oLSZIw2?OsD2ZWGw9igWGi%7K
zEsCmoMMjPLCJjtxLOA{T&u1A9YpAyythJ9(K~0l0InR>#FyH8?j(VLH2*0zq%d4e~
zee5!Ss!}-dh+44B=|fg9?y^zO@3SHrT-Bol#<1XGMx(IGT258szu~2`3fMoz7WL)Y
zGNbwZu9@=Z03;2YZj(4U^xJzVZqM)>BQWY$nX4PXiD;JtE+iRzvBPfhXvq|#EB4mX
z_fZ0bNoGY`Y9ulI%HZsVuu;a!2{)tX@&t5g!nKpB;&>`Ef1i8X0E45TbYsv?O9;&>
zv}ijcinS}{0-(^#*kn{N6Om>CWww8U28)I9;0>jxFZsVQvcfKM&or6CHC4GJ>zOrw
zD7I&Pe)20Lx<gkrd!0ELhU9#>?oUFgxy=(<;$4gr0S%lVwwXZ``;TFE7Ji)D`L3-c
z;5&nM^B7;(6;rVE?&=sy;KdQfSY%ydFXIC}pyB;b6Il9LCuO>W8!a1SFXxT+GqfYw
zf0kOBK&HV$^G|<HBo92ksQPG#ktUVB-TRU;{9E44R``@11D_4PRqy!0IJeVt-{)B)
zFsmpuT;9ZnTU=;m6yskEl{A*3*_}qfH+3#LUx*bwBOPQPf1G4oh^xMRrN$6QyWP9|
z1X!?`**}ocJk2P3qM%o)ZU|k+#W_99nQ=z`Qh#v6Z$@S3T~C=D1Gw-k%4IZ*376S6
zU*K<@V??!o2!6$D0FN_{x}XFT{`F5T68=5Ua6BV#m>;JPv){YIM&ni)6qAREOB#O}
z&B?4$Ijedw@Q7o0N_LfD=ybzgD|(qxv3Y{^R;(U;aF;t|w)Br-ii*BX1OFJ0wn^~S
zv+6+&Lvlu2VwJ(7Fmw3RV<uc`IJIXYnGQv+8nHuRtBi!MuHsxi7JLy9@jy$04q+z)
zL*-bRF!UT(UhxrDtR2a9j4z>q#!%y>?jR<dG)+>y_m>T=y0VUPTF@X*PvGYJUrcz{
zEl8svn**KQ&U!bk`KM2FVe0o}W^_*sI(OZP3(ZGVm&OlKL1^C}+U5-`$k!3F%Avu7
zO^1A~vPGzHfbGM}B6(J%2@CoKsjkEO;z<%?k-DHTbo<n+wfz31&fSu-nI8qevczUI
z>%iu(PY$$evSVK#e~OVK2}^2Pqn}cA;G64FF=KBI)cM{QmzOGtosoGv#d9f;p&4vj
zSjCA(6ZdZ_jtXJqERSBI5CyXLI;(T*t?_5_-YPb45uE$@i$@|y8-{n=4PI&I!Q%fM
zH>J&qV*ZQJ+*K`Y@aH?p{QBBDJTg30%2y_iJ2n|hK5o&1DV<;wolJiGMDQBaB}n3|
zb!p>lycT@&?K$yo4+($&^Lo`5FO3mjB(!U{Xu)~MD-kORg4kc2L>S(Y#Q_11Z&BJ>
zaOywSRPtLPWR?{?l>B!sXPipyKPqcMZ<4r1orVY=NzpvHVxowwMwjL147I>Awyub{
zC5kJDw->G^E8)3Qt9(a-v>=(?FXG1<$F*#)ZxQ;fj9WGA+x;19d)~Yz{r;~6Ry!%0
zd54fu+-or!EVQA?(s5H+yA-B-r^?$dtKz5|-E4708ytVk2sFHx!S@H}n`Cm;QGh1b
z-u;pSTvfe=kABD@Ni^P{ZM`NMyYH2W>C^#Fm&DS7bOrpgk!2xwE$_5HZOMNqN`*x<
zx=MPki2Q-{%(|NtJW!MK;cpKWIGv_RU#68XZkr(6{>{2bGA$1nd`E*@c0U(9=qk8%
zFU$PH5Gq<NXYJBl>r3kl$9rX?$@oPy`%A4V4O2Ak=wFgr<GB7w<J4MJJZdo)zp0Ui
ze=FR4ZbciwPdSnZi9;RV&id=J*wQii6}?(^*$`B|%au;9<wxJCqP<SJbllN*@NoH6
zW7zT}IpFv{O{}nTwrQ`Sqx%-~fMQouh`N5O*fK&3Z}=!0>6Xy3r)n;+U%?!-?0>O4
zd1zyLZ+Oaw9dtY@u;kD)ZUJr`3a{QvQm}dQQfO-p4ePY09f-C5KeaSxeyo6kEGCK}
zcZaDcax2Dt<6QvRh7PjRI0aQfcW8T&E($8Qgxo)91*(HPw#zS2(3#ig*==D8y46Uy
zZ;-TxRLd%qVNlTUYfg{4t|nSGOVP`3SVQ9HcSUMzeL_OEqsm8E4V!8DJvQ7nFtw>+
zVlYk{D}N8On{+E<lG)b0|2EsK!R7u-7ZSBFQPugrdbt9oeExklJIDr@%1fPccWdIE
z`0%7_2GTe^#OJf(Zv)zXP9dC38kigV{4MFIDDKf*Vs%(=1Io41*czvX-n(>b?rk8U
z!`-P#(Y1Hq`{o|Bm?EQ&1(AHyj}ynH{ZpKuT0>X4<6UE?H9q7yug&0IWhD7sG@o@_
z%inA4VdJ-z(7Nn&_UEo?Mi|Sx&X`FnsPj}F4CGQo_oJS6yN`ThSmnR=?2WO4LDh3h
zo&9p?z57UDiQ{9U=)I-rE-otwh?p?1ZI{L)!eO5hpY#y-ESZ%4y8v*}TCMKhgakT-
zhZ&qZ08>D$zcWf4bJ#e=EDiAW*X_`~hGKZ&Yy8d|8dJnOj#ADJ2LkHOZj<(}5XOZV
zQ`rYTGXyn`YYTsnB^b(otBl?wh#OsE$EI%oCcbks8`LCQK*4UW_UDoO$Os!~Zql12
zTF2Og4m>i4@o>>cHkWzud;jGp9+X+a!6eUg{jeECDz`27$a12@;ZO8}>fc0v(vq@~
zoEen780)+Ij}<>hH5<$`{U*o->QlTPrtojY|4yy}GqxtOaD5h@A=sx&Pe$G_fqMt_
zKXOH{FzUAbFiGW}CS<B>H_1*IgVHN6u|txJjHrksGE9S$1mCR-5_bq=Xq6eOQYPjY
zXPk<BAKo7)mYc>q-((wsT*vVqq3_d-p4qSG4_z1|n07OR=5Iro5%Zl0d^gTWjE=t-
znKDYWCF#w@IUB;`yuT!;{2vStQexIZ#Rze8HKHf$nE_16`n}4R8DyYu%Q*k)5OGZ7
zPb-;h0H1z1?QNm-G6>ym&)iQ85?ePM`?GpcAH1(6>}ERM$&lD^#<D_pfbft_WdFmV
z4_RDZvqDL2jBUdnipPZei5+ss&v(b@f#wWVG4pmaW9CDGqm4!%QT|s+H*<jwuODpw
zdf<FLgL^?|aV)f#I2Ul0WiE;ijPm`Q7NS)Q^D`P%i%mU*OM=Y5z6BbH%((s;`d+|*
zjRXHmg?osFj+xVzC)RrYy?Nc8TT+MzvjHMy54wqnoYcRQ95nba={q?4r<`!P*?n-O
zq?`EaBY5t61{FwqYdFr^J|(!!Z?y_ccN1F+hTl#qQsJm7wUNuamIyyWE&Gw!L&R)2
z@1+>13&V<}4L9C55U)mJ+T=`niRzAPS9WITK(fI~usr))qTR#w<;(V7qA}s@71ufn
z{MhZ&(l7p=SR}Od`E&XRH_r42|K_!!Wdo(6cHKvU_v*=gnQ{Gu7yMRN*V6{tgo<_s
zUmLOMpz8U3IRk`Q12g4*xE6RS?my-$)<L*bM2U%f86;jLtRFo7R1-4KPScunJ`=J>
zMv0R3!^G$=yXgIFn!qE!x>ek>lSmo5!TGFrgm}nqZ|3E!0rGZM8KHN&h=9Wx>>(AS
zg#GE}H&(aR0Zol3XJxyI_Awdf*oR}p?7ppzODyW(^rUYv)U%fedFuXl<Lo%0+?d^X
zc&{4BL@A`cf7M46XI}d@VlqWUEi3xmdZ`Lw=R%U_90!P~7tgc;^QH-^N#&ntZB<ym
zINA7jevoJqN@N~Z`Ax(>c1<76A;a^3f?G^p4HNf{@YbyRJWJHE&MHlFli~Q$nnADH
zAH<hmtQVIa{~@$w$$lBJDj*<aE^~71Cy}pt;FZ&x1!8PI`cucEGSq)=oR!@?PIzu;
zUey&|A~HjgNzF%;LBea@4j7&!4yBwd+m*XQoL%MGlD4b_iKfh2wR@+D--oF$GU-eZ
zOS!PaHbDt)N1J>Wnwuf6wl?*+)i8rsaMC+PVI{b?$j&BQIZK>5828dIj1|&?C~`r!
z6e0d>R=sNOAEHxd@;b*3b|Cp*?+hmtq3zXcGWpR0k(FPT$+V9XezFEG-|tp{4-szy
zd^negBDoZq<onzZ!TX%&QM>~DTc_dsJbQ)M<2Z8B-E1A)zxBgbo2~#`9w?vtpw9%>
z*PQ8hIR#+cPj}C+7I}Ed?)mmYJu@WjIc6d+APB=(5`{N8$^&0`py7#QtRSql*r--7
z1n#rs)1-bm$T0TsZSrP^5T87u4}~IdY-{(K<Ee5WV#pfBbA%IAcTKlY9*M!H*8w+T
zT;)Jc`B{p3BR9O2CkMwaNx+2X*o$r}Ik5I~{cvFGI<USTxJ&GqG<>psnH;i14w$<a
zau3J|fOuU*kfE_0T=je!u5)p19-lVNBq0bNH)L)PzoG#41#gSaaLdEpsM4#KUkict
z-kfMx3njSZFkKyk@*uc}EW^IGpQPBuD{`zVAh*vVV_~lXup4X;q?L+61--v6a-0le
z+8-|uk`%$Ku$cLMuLNu*<++lU)j-lWJc=}@2x>o%tIBMW1}(D1E^CS=gaxOhmx?RH
z_8VEj#e=et`a974bc{Cio*XQhJ*@&6y>0dLZVDj7n-SDHtOKbgVX~sus$eI7s%`nJ
zB2?F<DDd8+LYA9Va+S9_yvRFtbSPXI(!N=>=uFVS(sCt!|4&UgFmi)$M3D@cBFW!m
z$$D^iAaQ%~C<RP4jL&BEsse99(MZuIeR#xCregYl3R*LtzNM|{FMEDRHIJhK=xg4q
zaJ)|kInEDl#u1uO%;iVksALGHaV_+>Q~HqGT~wT6pbaA)X#))p4M8{hhqG9a5lkHI
z*h1~4fGvgd?&US#=ae8zZz7q(Cimt`)qc95S)nB6`Q8xz2GqWZ?=S~ag=(6G8x?v3
zIAvmu4PiB@(L~?|0ndA`P|Uwk;a3;!Ua6J={MDNfGN4$&tACWDBYHH*=DVRea9a;N
zs=0649<+vEW|2WryJ*0A*6YcY7i+$3SEv-9Yy*cU{pWh^Xu$hO`fdHP4)96NIJ+HM
z4@nbNOY$pJ_-4Qr*v_p9U*_8DCZ%n`<=gdhdB>>`U%`7Nb3g@hb_K?4jJE}i{)eLu
z7j+@en^xkOArI{Dxn)n3*@83IwL2>v6i^zPGOr#Kg;U`-D|B*g;nsg1I?$>GkxY^0
z3=JNrrAT^O?X-ocfM<VNay8)az52~J56lrytK-_e$JT@Ca6^B(wHoB5wWd{!w=!f3
zw?-xSt%nJdtGY&AD!|#bdLT>gFXQUTiiaPXY#@wvWt($^5}5y>&qc?vquP}xqa7MH
z5V~lT|4vE)NF9d>lX+eodmEeWkYEiQf~qZ^mD1q3<#gtV8wszwcWH|ZSiy+xD3QEh
z9PYVo=c!{6!UV&w`UmW+z{hxWd;NZ4xDxd`u2@PKzY9C(T2=yRgpF<N4iNzP{(?Pe
zb;6kPe4llU3V<VTY%os|7i<q0&LD}4;4Y`PA6@|gRk{C8=R~o<+<yrqeX0nWCnat>
zyvY(Y5AEJUu3jVts{c4tDvIDeo28$^J{B;htw`K-m?WA{w2%2L31g5`l6^p;IdnJa
z{M7UKN+jzvZ~yp47!#IUKPbO2gZ%B>er3^57#}HFCthR=BX?i6%eqxlIK*)cyz=@O
zhwkv!6$c69gZPVwm+VcU_mp<@XvqY_K-tySc%v|q%YIo;=bJ#Vds{LKeU4G&zxiXS
zp)k%}ykjQHWCE?BtxQ=le;IXi8;(gE3u7VM@!3cFjDcyLcRM<)GA^DhsebDyjQ@Q7
z(eASmtSFz39Oz`maA(I)JC3i-6(P~x(FpoKbJ;NZS@BEeWzR3Q!dUe9MPzBSA*^u%
zx#SHyO1`^#M@c~hhfYc~{@Z2<K5AU0*Rna$=}u@WUJ}7mE+g{LZ2(ux&RfoJ<whax
zx0&J^qWI01+4n%00kDNV3-Vj#!4N(7x8d!g*!UufFN4<rhVI$<vXrbt=P62!V6GS{
zk($&y%k*JiL92l8R(_OX;dN6vDvqn4oF5!<(TAlJBIojo0Om*;vwe<`z|Y6rBA&DB
zgXs9KV@h917<t^v#vw@(GfYxcS8Md3g8faDL$x4gy9{w(ekO%--t&DAPw0W)ot=m2
z#X?wE{IkBAT?UWv@ZZ_HQ4jLPS**|J3FFhdX*}5nWbvJI64!NUJ=olC6V!iI1kVIp
zjkS%*;g-I0$D|kOu!H6wlu{;&?sJCkr>zz6sZm9F?i$A(|G8=M{u?nov#bUG$tYsF
zf{grJ2OXN#LZq$!h-1CkfZknZC4BmLN>KbW9o&}EE{)J7ai(5YjIqXxN*%X-{|(VW
zG&Rwa|D+T?&OUQ|`<OD`0i!>US@oc2xrqGsyEGP*1;$kVQo-{gdo5gOdhpR}A@u!b
zSv+*T-0k*nGP>{^9-9c&1JgJ2(H?K)u=%NFSoDf2hIzlxOGQ1HTHH^)qN#wtby9!S
zt#Rb1OvC-^D*Dh#<&voVqkuEx_lA%0YG6c`n(MhM`tY(6gL_{o;$o%4w;vpuxR;`H
z!c5HoGzSjV@5xib`{5VsuKm`;yiQl&=vQn1!S%KX?T|9g$7<zXXwpKZr5o3|jvIoj
zbFI^yoeCbjDj!2Xr;S`OPS2Fq8^KT`k661n8KoKv$oWbXT#(p2wM)(z6i!oxv--$*
z{L|a=v5OQ`KX|nJIF||R8On4k$yY`9f<&*d4hq`55V@beY63>q&Hbj^)X>*frOdjI
zf-fy{d+XM8=lfgw&5lVm{2u@S|Njh^cR1B;7{~35>~-wD4u^A&E&Og<c0xspltfaZ
zqFybP5{X19B9#g)65-rRB0@$QR>)39MAqxy=en=&_5ATX_vicJ^zCBGcuv7*m42pC
zY^K1(MOs`qqK<YUN?D$^6rAL0b~(Ul2E8$43I73gOmIAWb4!L6id!p5_pzHp_pa}Y
zl6o3=lE3+U&vQ-ezt=j}IcE-2w&yGy0yOa0!}YucNn}JaPwB~a0!S9JVV}Y@(1y@p
znKRMA3;y@wDJ}qwC;5IxZPmc}3gK+!GBvCT*qG;k7ohpfIafXz4djooG22B_#e%O9
zv+=_KwmvFb_f)Fm&O2QX7yOj*VSCMdw6q0ewet!2n5*NI;>WI>EJgIVH<R(e+yX)`
zcBYqRsp0kxmb8W*dAt|&&X4YD0pi8$9fSu}@$#0pzLQ&IapR(dSF4K!xRURkOBPkd
ziH=j}!X%|o%H6$^v6kbJtc-8zDtNKHqV=gL3HOg(54k9B0q;!=ns!(!<I8a_fg>KG
zDE45t#L_H)tW8jp@J1yZt+sA`(j|lmzlp0$2moA5OFJADQBS@sy{<?Al?3Gu>^}>j
zSW=y_$5{c-bTqzkDB{J``t6D$#M->)iI1J`@>pc#dU;nGH=f+Ubxv)JfWR9Hu74_I
zQJOj-!^y*mjMw)Airfe=p>-*J8<xgC&+hyIHV&-0d_BzSnK_8^4lY)br7-zGx|d26
z8xpxI|NY=Ihm>D`vgXfA;8Yo>)fOLC^bq+tViIBoO8pm~%&dyzB7?tJB#Q+nDDUm>
zzc&T`)D6YXX=3>CNSwksBNnth6JJVIF@@ouir=T4MX@0__+YU#3*Lx?kVml_z%5?J
z(m+`Rd)OV88ZB5b{Q6+T^Fb3}nOHhKFCmPA<>oqiYx%ZS8zZV5O(4j{%;lA~5O#<1
zQZ7<h(I9?T3BAY|(n5`HKk*ktjtDcg!a-JSdKoh0C~pkIb=Q`Mo(Ui|fo0{%J2pIZ
z-r2<}$q0PBq?nv#1+ZW&yW@EcJBpo*`(e#y1PV6V@kbr`(cyq@<kvwCjOuw{bL4~}
zs8QaQ$R+aO#}0*!n#!CQ$0W3}FmC{&ZhIYlSorX*Yw3&V|G4n;ky{H>Q3l{<*`OeL
zpBJO~wH%zLxsi$E;r-LA`e0fUSQU7b7c=kf%wwEck9`S>FPbju!@U8`%<KqWd_tUK
ziq_#n`Qc61*GcFDKXdCj&s)5x)WG7Gyugp#!Vj0c3-mx}fG5Y}7cV}fTq-4|1W-FU
zMxE784<6VsLW%?VFks)RKI@zyhW@nlvK-WfXWTbBTGsL7wE`;#(e=WZxzwe-Cteq}
z#O#@LXy(WJF+#@^^+fPs`X1M616?rft6g2*DS+0Ouf9w@D2f%~OC#@w>2R~~z1pcU
z0W3WHgtnzh3@vNKPW5Edfqm0yqV19(^8Osq{HI33kEg7jr|qIc3&mE+#9RnXxh>^W
z?@3^uPm*+;CLJ=ByDQl^gwgrMgC4mJQdrY$PTjdogR?d^@z?r<ajLnABVa@tvpPLy
zete<9D>uHcZfznMuDa7~;HfM+iL1x{s-%J1oXwN0@1poxey7)vy*!4A{G=UwN`t#<
zWh>w3#c(86H+9TL0S%dFN3RyrVEe0W0~@tSShs$>gV$9N`|?K$1IlO+tnsFZ^N0i{
zowQhp2~a}5leaS{?KC*C@x)b@&yuL*-j%y_S{aoNToScnqC??vnQdPk*X~!E<y@Ah
zg0mCk2sSf1u(%}kHGh^t`a!`#`*v0Q#JeG`{W2YhbzS#fM#`a}?19V}Hg$9#d}J>$
zMF)ddd$R&k<ndt2a*7{a1Eq$Hm!^YtA%MZ+Qg>JZJ>$qKg5G4ziz)WGxTp&<SBgjn
zy%jOO_4$#SNKIr;u|1Y_R}U1eJChx3lrS}?_Uy+PEqu_yc<C9S4{q)zDNQtG%)ZHg
zKQokq9Qzw*ubLQuQU0AfGtw%UM<k_lnrP#>SN#i?>V}~8X31NfRTa1K-GC$CwK3WG
za@cvY5s2EIT?yz_#iXGtg_}0&U|C(P=y7vnpicZ{)_tmmhD)5OXOHXPt@z-F6h9L<
z`geXyd#F0TdB-!t6{3S=UeAYVmo`A<p4F+nA{y9zjoNopNC$TnOdKyRF$EQOgIb9!
z4czJaiPJhv8{H@Nzb)xCgYzqVv-`NnsA-;EJ$Z_Pk}`TBZY$=XpV5&W>`F%24|&Jm
zIB4PKoS$v+YyeGZePb*K$SCpZv5;CT85PD2jG6uem^m{&ryfAYpn|ITY$Xl+4lY0T
z{sd^}&J5<&CSz=8BD<Zv8ZI8NVzb_00bQ5h*V3Cb@ZcwD%8ZK&(x_5KT_-GH!a&m@
z)LsJx^MZoBZI!S=NV{m;LkrmNB=P;jEp^<{pK8x#rhs3Hyelfv0;Cl_eBaZohJ(SH
z{xhd!@o5dWO7~j}XekM6Q5#l8#sA(>9=(#pb8(9Abc-yYo-_8-nGqFy+IhxsR977N
z{06#TrC7kj21<qcH)Rz0ySKuXNd)t=?hn4$Z2^8WaicX1CDgvaD<7yTi1pXW_bzEz
zK!#AWc>NmZ^ghllDtqwaUUwehi~)cHK5?CTCl%1g?N4#67#9{M_lC-(1LV#(HAn1{
zN3(p#vFHSLWM?We60ik$bXt`B{H81pX>=(p7qFnJZ&$x}F9DT5561AEmqw0;v<pl7
zm~j8bf#yaX0tOES3r)mJVnn>`z@>m?hVG@$hd-Y%2Pf&XuSB1ckZYIFccamN46XI=
z1zhUPz=`<OBs(jHyl0t=wCxudWk;Tb<%*esTr4^4;dW7E4(T-8zjK};7^zh^zQ+`H
zKHN$_IV6l7cLJ!%BJ+%T{xX-zk`1u$W;3ZYRR~{HIfc8p&NG}Qa>(Yq8^DhqdAC1M
z5G?{aToeAyGY-t(^*0VQ0h50LEb`t0==W8l<tW=fMv~aKK;^f_kRFlea<-EXYoz68
zHtkqsZ2Z+3Nme!n4zJmfCM#ad=J4EMy|l!5FFgD!@S+jO#?r;rhj>u^Tivo``wHWd
z2z_yM+7RkVt~HTwxe?uC&#xY2!nBIdJym{&a4|NEC9j<eIacSMlCCgg(|^Y`{<Ii?
z6MLik2T3m6prgyQ`z;F=`ihb+Z8U%~x286+Bu-?%kriUZ%Z4|PmxLu$>%*lhZ@;tZ
za$=KfyUXqU>?jgdH^6PJ57mVC2WMtZ{JOtGfZoS}x}t~dg=_WT>vz}I<@t3exccWe
zDU1{Esx&5-yXnEco%{3;kT{X6cJjr52sgT9vGgf+>%vx<Tj5SSI5B%UW+bki2UpYT
zPwqRY3;hSi$8OYdV$1DlU8fhk$Qu^5_<Ef#bk^L|f4q$g73<e)l|SW2{3sRRn!Cme
zO1Zx(A2;5|?{b@l1u#MDaBhGt9ilUL1~UzD;{vpVE^!Otp3(qmn+Y215if6w8sNbu
zVOFV03t_ZSpW5bfiw5#n?1LrO@#0+dv&q^-5v;@^@liJ##IF?k<h%0Wobh9MjTuoq
zwmcS^x}FA#PMtIQ41OF^Vc-Acpg7tJZ!+j>qJng`vvSm90ZjKCmK*1kz~p7G?5GSX
z6!lICDPI;udYGB{<_byt>|8b^dyoqKjv0q`o)N+fYN4>^6=`IjR%d_iLWPg-v+U**
zh4Gix+kHn)$|8qngcse23QQG`0?MC@;K%d+ulL)@W75mOL8MTjL3pk#Y(f+jj@<Mt
z-=ToIDr&MhR4U~8nY%D7#qqj+oL$g4MWj7E7;bJ!g%RgGIojHPu_JkKy)9G1C~@y|
z3cIQBh<DpN0Ygb-V?A>@ZCM%ZatnF?rcvQXM*wYWhZM?vr?ql9siIF9&*Ru0DwNLY
z?!A^IgD1jV6C>`bVVv2`ds(J5XsOK?sPUIW%CfJH4U+~=yrD<QJfnfn!($3rx$-D7
zXw&+|myA}`Ml6-)bjZ6{sA`&{fFV{&_kCY#;`SmV;2WZYz3`mq!UILTBaDp|EEMEs
zN?*2otP4I)heXf5P{JD@HizC^;|oWh@(!NMdLZw3vv{CN8LiG1oY>)^gE^`4N4Kx_
zA8RcqvFIihOb9r#`bv?CDR)*2jB*Ts;c?~Hc!w$`^WZIq(^Q<-@ykBiW(cIy2DKYL
ztKo8m$t^vkqD!mSjZ|r4m^zjIsi|5WKQA+n34Nnt@~C%IN~8(cHSKS>ds_pIJZu+D
zK2VWkKGSyU%LeF6e0l1>HNJMe|B#}WKt+w(5^OLxgH*%tLZewSo;l#XsG~qdF13U-
za;7;9iO7`81!>}vkNxZB^*ZR_l&c@|ivaqEgLaOEn%J`{ZiO)vOqVO7g<l15Y8RGW
zeXEK7U-^8RvNh3kB*L>+(gJvV^okemYvSFD<Ir$c0~tTI*!3h@fRg{njmKV^xJm8C
zy?T8$WODoJ(K>1YQ_CIiT-wNJ<U6~i|AR96HAs*~v@F4}SNhLaMKa#BeEjpdmm=~T
zeU8cYumt;^do@4Vu5nhR?r3+19Dc5usLS7F2_AWr<OLgb+#Be7$ksp#3z@g1;8sg0
z<+V5Zr>cgJcAhj$=@-L>-xrQ<Gq!}e$zjFWNtLzUpk9zOBZSv1|Ck(JX9@l5zeXuN
zR>ti;S^TPle0aM5*PKO-1vL0--uZ945+<IJS$DaK6R$Ji>Yrm4uuc8aN(7H0zI-L}
ztLQE(Ug)J9J*T*Ke)){Zn+kcH>zx+6`eKD)5lphmcn45_i_bb?QWo!+iTrzC{g>e{
zw%zsEZh&I<l5o}-X-xX;P&T=FnlZ7<IBAXvU_8#{jWSshKgAWP+k}iWWWL=kB^eX2
zYPigGX+a!4{>Zjr^dKXA@kDXKL37xY+NkCBTNI<^{wz<N>|<OwAR6QH$P7ZlPDgI!
z6+ymhloUg9FC(CUIZ0v26za;SIO!fjsKXKa_L6@$V|N7bjH{W#ziZWH{ci=3RCmvq
z=|MN++8cF3BXk3-Kk9yxw}cPpbH}w^e0mvUPFlxgOH3f-{9@2?-SrqvNg3#n=wp<D
z&fF-w3B*1m?@M3c!ejc;iwi*m3`73b&DXXW!{gSU31RG<IIGluj+;Eha53`y%KzL5
zCf)5*Yuq`oKz7qUE}K!t4qv+6Mt&nWoiv@`(8Y#QZ~DhRKKRABDD*j7?T{fPkSv^D
z++oFM=l=O-=1ej!4MavIbr=9)^`^T!odw?=dHllm(lo;%OGPZ$(f|%GkLV0mG2?B%
z^Jh23{b7_T*mT}{rVotxxmisTGiF9V>?qHeW9&*ACyS`)!zmHT#lUnXyxqF6y{&ql
zamQC^u=183oRD9apGPp^oso4Hme>{<zWkI=S4etbJFQgV$HRm<%xVA5?^tHs%lOmw
zU%D=cdi<ePOs_JuZyfi%(zeQ23iPy!mDYtMZA0x(>(=rkW9!58nepfe6Scc*e981W
zaKlEQ33ZZGt$ro5;2S>WM?F+J6f6qy-#f*GY@@M~2JCEjeNH3Ix{3y$q}n{_BTTr|
zn6Ys+ksY^PEobicqygo2G{=Pl%t)Sk^V3Lo9p2eHF4{Ul1^)!^Pe}qSs52Fs%`?l1
z4cROt{mW~6l|EXP*u;XRLdVoQI=E4^H{}Lhn+i#(PoDDSv!axO$~S7ydUU&avwiiU
z4kV2I{5X1_4LeT@Zt3IW$3L#`GhZ|7z}U=QGrKBwR65R+d$?EtkG<WnVz65qn!b$Q
zyRyWAMofC`MT>%{$9v`vt%U-k?1kqeygAWau=J<z_O%|g`SalvCkhz7Dij&+<ighO
zxTptTMKCPC=zLh47T~(gj*{njFtGPzRZFB8K2Q12hA%`5=yRvv9^T4}bS9|_a=Ii8
zaq7&N5!8aHErB(OUi|2yA>~{tEQ!CJ&NdHy&;*ahe{<KX1dzDHb+AH08go}!^O@2$
zfs&z9nKmhi;cjEAzinl)Zd`lu(Q!?fjy*}QG#199+{dATE^ECqP+;-JF-=Ha?>KZU
zQv_drjMi67RKONC)1^(xn(#YF?~{VO80s|V-F?@mh#u;D^fVhZ;RA!mc8np8NBew)
z#vPThes_TNHnJ87wR3%bA0vUD?U%n@tX08{=kJ8<eWnGvqK~AVe5FuzF<`FTOATf8
z!prOfDd6nDUwP3-2KlopUS6M3$1}3Qot7@zkf&P2)_+V6N60@|dT)}En4jBOcR&Yh
zBg@Z^eU(QWHammwwpz#&EEt*-NCn!YR%Sn&A|9|69_5^*;FYYr>wbnbIO)6fkIx1r
z{7-7K;qPS~Y^F3HWvqFwtI4j33(?A09j9?b^dc1#Z^X~iZFIr){Cd5@N)?<^4LB`i
zOv8hJznM{D^<eY$e=>rsYUrKg*VxubL+<qAn#v)4=poU2`z+LP>#2fJMN2vw$<*D@
z4K)O_6u}b52o03Zz3-NCiH^oMnBJA~8^c0LNpf5=87uaQnvw6&G5RMxQlr)c-qc!_
zs$J8>eh?cMIzh*DnFO7Q%ck&b`w`8+gKOSczW63WVlAJM`q9qa91?SEB=Th`_)o<z
z*Zc?#y_i3g1+oM9|FC!~pGLuFrhJsz6e_O!vx`%?4WM9nyveSWg2$7SF4#_JBfY#@
zB5;jsDhg`ssf`pYeVG}~;;x0;c9td2Q!Jq}x6kFrc?#z9$gElfuXz>8(d%D<B?!6X
zZ7N(^o7*NdmglaDe^n<hIPqA)ez(q4EnO}2*)&xctFDA>A6QpDSX+U&tEUwUb&apV
zukX+~<uP&QOQwyF73>M7Pkj5Qfww*rZ4X2xv7Vk6Mr^VI=ZjLiKCSs$?PB&V>x&}z
z>+wL~S+W)A8oE8Ll~cp>ceuSb2=Jpxqpjw>F-zc=5IRzqpn}!pQP&Jx4xH(`)qM7b
zCAhaV(IO_5(BracaBb`|Lo+`%y~oHB_@YuF#Z3_nuI1R1mM0nh#c9^-8!f<Qr1pAq
zu{^f0m{9K6d}k~KDO2BUw}4C3g6C4svdH<8Q)rj-3qtSrp<(V}0286WXD?i(aAVNr
z);n9fh!)bHNy~5mzb{q}3(+JzadfOLvS5htD+w3h{EvXx+gm(U+eFb%C}kyd<`?1f
zMpt4|m;g4u<5PQg2;*goEMb|INkS?jZpUA`Ih-q`Do~{a@sszh7lYE%M9S~iyuMq_
zK=QUsIlm|$MzKwNl#iPxp4pj8XT+L<>eOwKQZH^Sx#+f15<E>L--?}TU-K`Ly+&C4
zUk?2He$uCGc#05~ed4$<Wdb?1c`0Y7S+P~oZmLIaiU_oQ&(TOXfvS5KwOTBgv9Hde
z%20ihc+e%*&J}G838Tk0@2p&Au+Zi^-)c+{6YF=2d%rh=M6cl+=5Y%Qw{*wqD<fls
z-6ir|u%r=Oov_ceZJTBIonS9ZzCS{2%Iqo`3pWI(vn+wNsnd+Av>Qq<4h<3E8=os)
zZ8m_o1Tho+)4v%9%rb*Sw)`XnIO*|Xx&{zt@Ad9<@+d=g;nfb#o&ChwYf+r$H}%1x
z+U_8i!yuz;SLCIx#2>_t+(4CPc6~7T<}1!|t&efnbITWr)*fO%>t@G{NIl4;?0EjR
zyqocCL%4NnZzpl&N(tZL5nY%+6K4=e`^xCaoqM`q^NrYaOYf+Tzb;6ga}W0oYGV|u
zZtgZ>{z4S^{@s+{Nr$iI_b#Z~H8WVJcPg{<e<p-uY_He)(1B&7A=P|;9pjv1>3*k>
zHbOtkwP#N^4f_8MvD|{U4Bq$$4(Woe1Z~^C#l5>}5VO=>eWT$uL&y96&n?TJhzDOh
zuN3{Ff>ZI;$Hr058Shgcw1|^G5jn0<PmiX;gNOU{r806Ednl88AEz`E!#f7G>$#{v
zS3jKM@G6esJ@+Wt!JwHqdAYf$(MSg-H04TO6kj6N$A?zj=W8bB)dyPo1GIs3?Nw%=
zO%9>FH+XzrqM6W|j4H^#MghgrRJZu<d}46V`_J57&BUPCkp|{^Eok_7GONb>1<|Lw
zbl9}2nNZ)Vpi#l01u^fGL6hkfA=$WB=Ysbq;>5}o(K5R=URZXHTs>M&92GoKc2c2*
zIQY7Q+@3&&>jF1}{6mniQ|q_cBGyXGWObR2f6;(R)xPa5>2C;y@b_;zjoS!%Nxyry
zx&}CWn@-;Rv6=`=?<|N(XeWLTIp@azrw(%ziMv+?-xFRNCmNiEI|%o2?;Gu()j*=J
z{`j}hI)bX0t;gK>g}895z9~~r4VK5;5^YE8i44{Lu0{MtFy}m0s=uxZ3YCIRJ&BEk
z%+u4H9+RC!1=sy@Vp#=-+SBTOJZmO44>V?X`t=YTau?<M_o~3%Ym=Mq8MP1s&zugC
z*8d<VSHC&l{;UkUUnNQi_qGx%bR$jw#6F^UTh6B~8<nBF#8UK4emh~_63F;tGC&k(
z_Oq@ql;E&gy<7U-4np2M<nEH_AVL3dQ}sU+C77s9cj~PBN^JR5!yqdU6O_vMC)KYM
zA<N!`$xfw{u&C#8s|g+@nxB`X)|e>5zOh}^V&&b0Z)Hnt+3#_J&{=tL6cxZ>*P|C#
zKlBo}P6%>6DE&>GHYBW?H!47oi+jg{PakpMaJ}uq-YKHfdCQ@O&+?GnQ)eA4Hb5k0
zH&%wp%n(|%c&X66@-PwkR4QuaC$Xb?Hs%xaETPl06m;mX96WNhZ!wk_CcO7BlL^Vc
zgp}qs#xXTH*wC;;-f90R@sj8Ip3waZ#A1W(ZONUo5ZjYuGrl}d>>pJYC|X%0GA-G=
zuVu=BApfQJZ0)~^ze<OSWWTHsM#Xl2O$Vjn4R2@nofA{UfWm7bf{7XUtjqb%8A!v-
zuDY&d;~8Qpc5A#DvcT4~2xFEcDUh~|&=OFcCAvfApS3+@15>XEwTKx>m<uD6H{1Os
ze&r_BICpS>SDbTvqrW6f@2=RZa(98K>)PKIZOjE9!;amy?v#LB5-9&7mWVyN8QzR8
z9tfNs*4naL0!klmOfFMiCDPkGwu;yD!TtRHs-KG_uw~-D`$&r!cHWn7Okfj)9r_;o
zt?rS)$5Fyld4>hpea`kWH48z(CdpCP020jpvEFuclnr)Wt88&-5P_=aZ+cUWN$|NX
zxa76?I`G`|_ld}g7|_PE#|~(bpxf(JL*ywgXynds+z>1QS@B=#+7=|JOgj5Eg}fg2
zi0Pj$6_tip?p`A9F(e4m2#ee!%@6lO{a^jZE(a|avbie8NHE{AL(^7U5IUU8nWW_u
zprHJv-E6W1s0pMfP0kB}0dihu>r;eH;^z<UJ1Gf{hvzbKrbM8(?eHr1M`e)e8vFXP
zQVJ&Xoh@HViNn?`Exmues!(z0nd+FI3>YqOeKU)efWm~`RflCXV27UNz{_KDK(?;F
zQ_C+69p49B!cS?!<Au9-kyioEB(CQ1cgw;V?U%Lr?Ap*gKRTTAR1uEzr;ELtmWRQO
zJbJ&}sqlSW=x^TV%HZ!9(jA_x2nP?PWlub!!Koyxomp~f@FY;}8P!P{Y=&AlPqFAi
zEvIM0a}F}BxE@ZuAgu}pqaSxWx~+Lmko_g;!xS*Rs%pc!q6Q{C3t}$k^g-=E7Tu>W
zsSu;jq1iaB0S`|1P;IXo!2VmuENDw~APEVJ`L}3-UG<@uaX&+dzHQvR^@2W#@b5df
zqksaoxd9%Bdki6yn(o%^Y6O{mde2_&(*ec7lml+_hR|bt^m~=<2H3DP+K|4szm+9c
zco{bg!Ct3U;Jv3g{QQ3HwXrM>*tBa-zAiBUZaxn|rl)JYB4g>Q*>xIpZQJcW?V=Aq
zwNv(VDOkcQ55_LDZ!}<ZRD}Hu)P*w!Y3ic~tYEe{MR}l~2FLOhf?|beAX-Cu%X+~Y
zw&}l9fA@q2zEwl4$Gf!Pv~FkqV_zFcFD04wnbAPCNM&BnTn*BLJq@bHY#=H0!#})A
z1+U?dbc19Ch;E#UaH85mY>?M3!QDDQlNSxjGb6#!sUOvvYv*IT+7145r9e=ryrS&E
z^{|PT`*!^w8@T)nrc(crVfXaarIJ&#1Wi!%`=(1akQy`P|2tY8Y-5Ec1BHGtdVRf4
zmo8gFOL!HR(oYqrKF9PWCW#4c#yQlie5~Qgk>sg3M<wuYdM#0F%Z=?Bi*2C=RxqT_
zu#BvbhZmERJx|*O(8Imo=){sGEEe}&`JNyRevx5;7cL58>0o3`u!|)a)CdS1{jv6L
zvt_$7Lqu^waL=OF0}D_mSsy=iS{NuQWmdiS#qdkxW=kP13-BXz>n#rRfz0E@qD6mk
z^ekxps1*rd^zd<Lbo4q<@t3c0sT9Yk{-o-_4g$Ok5=%C}WCGsblih_K;u!m<<?5X;
z=CJ+waqU#fEU{P7{`>1{alF&NS@-q0859plv3ocU5OZc4500jZV?yn*J@P_kaH{C&
zmhKH#h*}ly@Ht;`WU3V#QMWS%^{4z69F{*An~ir$^D2qs{{R30|Nj)1X*`r~8-{J!
z*BQpX8)K}4VeBqMQ4+GGv=AyPAt6dTij-6mDN(kvM3yvHLRk_;QI=#$mZIg4h<Dzv
z_m}5-e)n~s$9V*P&$fpobJ)13c4_s>Ec1%&qVnu_5_So2&n@(sfzqLwS5sy4%$4^^
zo9kba(C+4VuY{2qge|+*lu52IBRy5t|0pA2EBi62<eR48noNz&{LYTWOnv>Qr6fGL
zw=LrwpDD}@e|p4~%!QdNMhbq-B$OJ}KJR_f1X|`y8c9F7vEpFs8~@)VoOXA7eTv-#
z^mi89a%%A5Aa`1DwYelNWLZWQCNe;F(Q%$)B7hTV@&2>7B$05v#4TN#0nSZLy9ioB
z=o&H*>?$RNi8my4)XR)PZ!u~2d0r8e`?7;`szeHfA~UkLZZ?L&)ih>vuqYnu9cSM2
zmB#WX%4hB7jljo5UdO^k471zMY+6T=L6<x$L7{vj5V}~b5u;DQ#HTs~@%*wFc)VQy
z*LEYYFTVejSAvMbuY8V<am(SZMdt#0IU`^kpSrESOvKX_a&=R(^0<D`o-J^c4)`NP
z^7Vu`Ixu4N$JZ<17cSaBb0r<#Rt`TZ@0Y+p`pT)ri;9@lSztVsN{9cHV(x70BVo(h
z?fvJ&mC*8czh^)s9gdV1S9c6a;<5E#eMdEwvA*q8Tu&e!Jg4UFQ|F{GJ7ALfcuE<)
zZ?;W;^`nEC*|t(1VHup0^J5!+tb(z7<uu%a=^$x;G4rLdEc!<u&JsJTisi4KsK1G)
z!%q$eLS(QU+SPO(&h}A5o^76{GWX~}j+_W>Dw4-v3$3Tm8IrL!M9*)chYnt)$Gy4c
z6)^C>Fv|cTb=)*%H8w;t0&ALhDWAF$uI5Hj_m8P#oJ!1Ca*z?&x|v#(bSq(-R_kZ?
zY6^NqF;=#|GJ<h~0so!nl+m2;+=D}>H1OKj&2vXhje*VVHQQ@b6*OAid+@e36`8N<
zo_?rho$ExI`^>1|-+Z4hK~q%p3!bbL-^c)&FsBE~w^h-pPHF@1NloPTD9_z9%>YH8
znYI6IRKu0e+?%qNG*ObAs-JMv1Oj(0DDV5NhF5t!$u6E+SX8?%;@K9~-qw$VzPm!k
z_pdhPCSBA*i@E5ydMPug*JwW$KvqYTpPRP5sfEfPDhTBxW}wcQP;FMAj$=FfC?>I5
z`2P6WkoD!}P&Tks9wtjcn>TC)mNYH=Y#{8-jJE(g$1{JOqbX>%?@Uirr6#V+*saOE
z!4fV+Cf{{N3UWMdF}p0NiH)*Ht40N_!1??}5BKjBj8x-!*2<t_^qm`gS`AjPnA&oI
z$*zG99~*jdnQP$a>^1kXKx^=q)p5J9NWq3+(bG3r->)D2<8^7?8piD}k+=0waA$6q
zlhS80a;!FJ-7x{^o@Ad-NT*-~yN!>0sv1TK=4_wd3-Eg9n5LRJ1zm*ptV=Ug#SQfj
zr`Rt7&|mWH{rXZJQ_LlaH{U9w-uD^qf;#|g^jcA}l{$XgTwnb=LJ8-Fzoroi0k&V`
zp%mwk@z=Yd@%?rR__p)l_1Ad-9Z9b_9{f~8i(8LpXX<6~_l@Dis&s&6?z1Uz3^mlU
zFkk2EFO3yhi%&*k04n47D<6cZV$ty9eKb}+JeP0jP4xs=`N8jg>%Iz}<T#ym*hvEA
ztJ3QPGy!Cvya>zhQ%2VkQvJ6yA|8HZG3_v84W$A0zxxD~@#a4T&LAlQ9(~KzXLQUO
zo<6&(yaKGbJ>qMKA4IX_{p~eYY}WAeouv&gYtIcNM~m_@MX;#tXleX$D-fq|xXgJ>
z9!n1XM=<&&gp7*k7N6%WVPLk+z)wsL_jI1pPAL(@*Kc=EtQ@ce8;0tq@uxEA<l-~e
z*dTzXNN8pA#R6#ahkrjjA&sNIvI?GQ3SfgyrN}!E3$Q<47jC;v3dieC5>p2FajbB1
zprpkd{%q@9$lEN5b>z>Np1k8nrQ<fUx2?=!Wx!zOz%CL>|9Nk;i(3F=N1cP+E6pIL
z^k`OBk^~;_?K22IB!KiMp9MU0&7f5+<wE@%aZKJypHAQtM1HqW2bn@sSn4hgAJr8{
zEwg>H=ADB0c<ApVZmKD~b@q7Fai54@zrAZZnL_Bf7K%fQOyFMenU=4nL=0_yAiljv
z7>(SvhUDp+Kq054QPL;@zq?x<bK?=kR19^Uu46!gxsDFseF8ca?NAl06h((m{%wg)
z3~0)@-&Gw?z=eJ9<+p{4AyM;H+w%cqD4e`^_jf1(qo%KnuG$b#y)$UE?}#xN--<h`
zc9ei+YLtOFB_dM!u8?Jk#?afborG5i*kWGS<smALUOx<9zpFHY{RfmTxV|9Zi(4J;
z5uy^v=lSiO_YNcY>O<NZ$xB4?_vyJu$|NLL+wA5MGJ?RUfUKe2M6^%Hk~+3l5|{t;
z(ROH{!%+y*cYQ;|7p}B@&e2lnf9-C|x#M(LC$83Wd$Tx7ymxcBfzl`$F*@vEONX*e
z1AY(3#Bupu=B8R1S$xEI+fhuI4m!3$Yxbu|px~josJZiUD7mKe+wm`kaLF`qPm>b~
zw~|`UZQxbFV2-=~3^aslulkB|8A*(}YkTf$rXq^HA#9nuZwNYP7?<Q$B$4x%<h46F
zO2`q}EEsmv5ITSDPaOCyg^X8c!}Vj8u_1|k?cxnX;HVJrtXh%A{E3Xd`kg8mT@+id
zm}>}Roy&2yva%R2VX|oMq>4*-NK=G5LzwkzOq+6)Lp`}OA#2Ul@X?o;FxO#2xD#l*
z@-a~!0~=F~*XWY*=jR;0MiL!5Q1ZxRp8`4sjyTg*)p7K5l=%AXba<n}|H@HL35BgZ
z8#yH@D75Mld#{`h%iruHesn3JYtQ7O6t@P3nBM$yOvVU|V&dBiE-GUwb1pAonw4`k
zK()AP1ijIrQoo&4&~tNRPhS%i%RRU*3Md(a&zd6JC4LsqjxQM#k~Oi4>*R1ny)o2n
z+bMXnRTXvG1UWk_wD8`XqHuBu12$Z5Nc29hhTD_RCI`IHLMwGI)4f_I@Lz21??YB(
zBr7jHRJPW}u&8@OaSJBURoL|5-831;nC0`w&uOE*nXcRJE>p<dLJhFFq>diiZ|dT5
zw2|&yd33ql42ENR_j{;NP`!!S_%}ftxsK#ryp~}Or~lcvKDbN4_M|FqeoJkXwHp$d
zU~!>+=ym2#K@BW?dh@DNoffJ|dQDsGv4qAG@>_IwXkd%5Wj&Qk3+=O<obOp#LB(j@
z;TLHd2!Cug3dm^Unvrj*S_0N^==Za<q9P4+I^p(Y6FU`izvXl&Hd#Z7PR9APdm8wH
z;d@n^#hGS5t*;b1z=yRfi@)MDFkG28FJy;0PN{x>ksAfD>QO>aG||Ap=wYM3qiU>q
zBR4P~0<@2ny4ZA6uvjeVz;0hvjQPISp|%GgONeKq#}*3SFWtSzu1guaosSuBp8>d7
zV|`wrP8~Z(q4|xY5^f+G;LIO@x1PqQ9tfyoNK$do-E4W>a(G#tIt$RUd^n)rk&HWR
zkIEEx$>8iHx~L7XcyuJP^?I}#^2u2`{$WUA8`as2@eJUx+7-%hwkpP-W@r@lN#Nj0
z=E(3>fJdPTA4}?0@WTAs>3?-ZjEk=jdF%&3stw_O&f-G4ZoJNcVKKD7b+y5S3SgOk
zGX3&@N?743#i!&Xik<!)FWTQ(!=35g9)_e6W{$iSt(_1;rt-@u%0_EQdP@D$7^{GF
z`oz}N8Uakx3%47ow*tO@b$@dE<uI~UD7Sl+4_)40ek7`81tulk?2lb#@yx(%RA(tK
zZVc|14NbR%`&=ol?Ss<zq}M`__XQ7z{_W|BT(JNvQbi`uIVp5I{Y)}Vn+IQn%654M
zS-{IZ_Y}I<OJefN^)7QG+<5CoZ6QyWIk;)|IEZMFu!Hov$n`Tf?h;L1cCldf{Dgh)
zWYi>3!EnoIl;*)&z6JM=0yDU_>6Gnn3vtwZx69lnkq5gCiu~AR%;5eN-Mvm>L~Jp;
zt=Fr;i%iWhBbQ`TIQFet^)f3zKZai(OZdf$<$vS-1h`Bgou_JoKqFv5!6WvKV|*xO
zoM9Gw+yo}R*sQEpiJ{^ZiI=N?`B{CIAUU+m0I7iNqsP3&@M0yw(Zhhn$NSdf!6z8N
zJKwyTCn|>0hI_{A5`|D+wp!Yon*mRJqi^RAi(+w3w$?^A5j3y6FV%P17(RZEFD`2l
z#nrsz{e7(aYVzXuP**XA`U*Fq@GDVtZnV-8CX1o3*nWj$PmDm`>58UwzbM}P)pu4@
zgn$mM+Uup<SbhG-w7KINF?6~o#=e!0h-L%79^3z<!=J_Suex?(80qj*__Vk<I<uK|
zyWgP0zA(F!N7BV`NBh28cKWRRrt8aQt))ZLL3+%WB{5vh_xIb$;_$@TS8?a(4S{X@
zp>OVy1pMc?l%I1~61V7|n>br$2riP*2G6*N*s4ubXkU=RmiTo~q{9uNr;h8D28*)}
zE8^#_`pcm1;m3;I7KR{jd2Xq|R~!#|ozJ{DB8w`|mQHwy7{cQYgXY~D5@<gcxJZhY
zN1dJDW4xyfz?EUTC!B|bdi{#W-PIKF%$bDe*<A*ZYui)w?=K0@&e~6%2~)yaY2BS`
zUKoIP(4VhjoKhHMmlL+$R~Z?*H@e240qFRdiWewKqwlry&^}icEZ8@$_OI0dXf2mq
zu5XsXO;6&K*SV<TO5p+fTO$TAe(7saT)Hf#q%{0C-J*tXCj&D=1q?y-KxcUMj2tqv
zSIdTXknwX<_wqG6Lr|=aN_O#9!0nOChetxx(Z*w+3MJVP<V<US482ptdXdSD^~Wga
zza=M#^34z`=B@tPJyODe(5)vz&uL(<7QcC%Hyu*t^1e*OD5L3{`BCm9Do&mD9PIl<
zhrE=KXqOEt7!pO{<zRWiMXO8Ka>I>4(eaA&1qD^?{gfS46rhD8hOMoi6pdlOPQJp%
zpQ>oW-kejVuZ^iu1PbS8V>n@~I{NX28p>(Ar|uin#=AM3SN@eVK-DgFP&So}QkA!)
zd-v!dXNh#`!Zj1H^X^i+?yipHrN6=SXFBLFYZ&I0Xv!+e0e=$sDLBENWoj_0gL2(J
z7zO9dAgj9Q!QWB}%5JIDiR#k9-C;MV#Vk+nu3$SjYO8_QUuF49p3*@FHl=L8R14q=
z{>J6?R0E^VNelh^rH!wJx38LAv4pFSmSc*fsW{<u;n`-2HahQ-8Fxyuf<We%=1MOr
zy2|8<l`3dqSlFJ;H^ZzU_C|#Cf8kVIUwA^oVu*?%VhJ%%RakkRo}<$kLdC)=&&<$J
z4IJ?q&73?AFnfXU^N<Y{^ODj{nm(yx@vDPJo7w>E=35`T|J1;nGh;Q1+GIScTW#0L
zV*{DDxDNNkYoNDGv>4@pDpIrRZW$TafSvo>7SA6PEaH88EvZl$$>}QV+MH~_rRgh3
z*if))EEn<y74h{Wn@>D$HlWsY`tQGJb!6k&+ntdlhj?WC()4;8;C;uJ8l6qXYa5hz
z+3k}?n=7L&<1`!C7Af|PUZI9G)vX!2=Slb^x3aoKzy?TP$KOmnRYj4Rt!KDrh)9Xg
zRZ#i_;G9{gWQr>Iu+LVu@wOON_PoA9W_it~s=2j?p0j+Rcf?)KRs=7+_;e$EC%|Hg
z>)x0~CG>n-mOnKlfXlw_Vq__Ry^X1E85xQgVY@XXh`@(QCDOMmZ&*XSkG%E$T6z5G
z|Ch_Ila<dJp=XIpR#0SnVti^=7H>33?a&imgTUb_kh9eaJk{Di>Vgc$iIdWXn4GBm
zD68I}$`W2==M~u%NnvlC&-=Ds4t!YR`rkT&B|LMLkWisZ;*~8!^-UW&P+!aLvEU&K
zaQt)Q3wyr=8f7Xk?iS_10<Q;V!LQAMz+7^S$`wZ$o=a(#(i}KE-r^&vYYsc^-Q`VB
zBI0N(?LK)22lg8DRAyW@gYMHN0xPKm)V3`#)A+!F`8OZm+`3>288%_>cv(4rMrU=)
z)i_RU@Nx3X^D~8So&VIk7DTZ&kg@yw1}@wh$>~|sX#$OBUiWPD7DZoisg-`qHF(E6
z+`h@y1j=Lzb!zfO@S1I8fY@ekERO13nyqF){rU{X<1S%*FT!lpiRVF)(Z!aXh71`0
z=B>I;PZ%?nKj;;;^I|LMho@n=F>pMz%66<5!Xy2<j!5T6<sWfl$wtP|tU;T38ZCs}
zsizzrs|D~&>M^6M^+vGDSibY#PYAbfdRtrOC4^h%rBx0&89~}lb35LnLb#GM@ZS(o
z1eq~olFt2f@F&#za8(MS$=4+nv7@5ssZ)K_Kb#Kj)xVsd%L=1-vTcEIgcz3VQRaV$
z&_UXA-ZiFB7;|s#Z5TL7z<$AQezS5zcy=+i`r$4S6j!;uGvy8uRc1o`ulg85vmobZ
z5k*l<JUusU+bxbClN(R%;4_5N9}SNO-Vw!*GRLk^WJ%b`^>05n(*VlysKrMaV)*IE
z&(ys~CDH5q&j9{d132@i(K(vcZ(h%r+fyc`@ZqtGgMYyQzPa(|SKTI{g4lP@0}(Qq
zRx@lJD{KI6YhHU?U~!+3u<5wGq#XM6%{H$e(}x|2hpc>k#8Lcm*{<QY^4OhYr)kiv
z50{3XiKlx>VEu&25b=Q`idxD4P$}1kksQIG^!+64{q0fc-ll|Hd=f^Ah5B$%bo%Y1
zG)XL%$<F0`qm02R`j6H=(ucgwy{c00r10g5+MJj{735BA2x)21hcnwAk$N;_&@kE}
zsB}RUry7L*EwJVZR5nR`cvTk78ywEa%aJjXys%48#sI#&x$s+xB#*aJ6ZhsisH2au
zghtmc7Vq5dnJN@3phb06Z}<@kY6g|_K%D`&U#jA`tEq&3gM3bltX_OCBGt4_(-5TI
z${AJjDC6@?Vq8Nf6<arDb7z(sf;$`-9-mUi&?v9Ch+mrcj4UE|-I)&4#Dy1LJt{a6
zW4-1jw>DM?r&p}wFajC4VO;-Q6-zrK{$1kK!Cm}+EXzBLAZ{CRzvDwS08v1$zqE5-
zt2HvLgItHqDF5HvOrE5?!s}#o|C#W?DMJ^1?@u1|Dq?`Lv&9|Z7<K$~{q~%kvL5Oc
z>>$)WF@cE5f0BBx6vV^hc{8DU_}3ARPQEjR!mN+G_DN}=&B1~LawqlhnsV8j-AiV0
zAndK)msSmYwbT?HzCjOjrk+G3YghnZs=|><e=0W6t`)Sk>7qBAx!|uYmQa$q<vDGT
ziYXs-wC}R%BF|j+^U!E32(3135;xXFj(pxfiBsCx$aZhxdWtnTYNs^x25I7=idT>S
zWi2dGvzJJ50Qh<POvJZPP3#(%w{reVMepBf7s*cm&Obj8+wY=@+rGZDw$|4`!cI{+
zAlX3QsY1>xT$;Epuf5LSP92-$iVYfe+W<Xpo*z=Fc*@1t*w9)HpF4S`2i~v&c7^oh
zfIk}e-19vBsG$m8hrzCv8XIV>yHK9b(7?0)Ka^Z`l`u89>+P;)8@L@Mt$J-61vi};
zDQ}LF!-UfuI=)OB2+oLqd^k`YUk&Oe?dg<4QHj(IXYy^p`j$*`pD!6HEwKfu;S$J{
zN}5`YvjHCq!`g&(Y8c_XmSTE<fKS^Z*Xy!)ROZCVDM3|51EQL3%Q+D&aj&KwWpQxZ
z*_T|kJSx~ewzU7k4}Nq!x&9!P<u3u&j4J&JB^*+9B65iF;H@X`c>E3m^!Gg3Zj_~n
zQFX~Tg}!j2nhVYHpEQ6@i_g~gvGVBlP(rQ4gB|^Q@>UejTEneN+KU4bvY4NIClhK{
zn4NyS#Ll-?kjA-=nVHD)eTSOnsy9o_?NesP%8FJ{T)NeO_Dm8##_?TFZ(C$Gxh4Ep
z5o`$uDm^<&#7UU@I!v%NWq}!&vpKo3#sbb!_laAjh@&>_vQJ%}XVxuQ_F3>-Kvm01
z^Exde$_y(Y|I$2jBz3cGldm}tSBaFXQ(|b%l$=ZsUtsbOlPlgmHiP{49W{qLL~+Hq
zM76?gk=ge$%B5Pw3}%z_ci+zw!M)`xYu6_HW#-=h_u>9Q7Du#T&8P1|*i{kZD#WwQ
z^g7w`=S7zZ1cwh&(~k(^Z;>niWjFp~-snD_uWV`poWiKpXe@v&7cW)v)vPjaDJ7|N
z++zT@#@ggfdi=PCL!e;84>mOUcKgCxaR#I$Cn)J`=R?}50?G?14qRy8TWp+Y3@Tm&
zNhfM~5#nFYj(TyT+=n?{P7Y(paIu)mT*r&lzOx^Kin*|$M=Qeigb{G~dIrd_^Wx5d
z*`+)ZH~vy?*uu$f1e86ib_1h4cpz6m>fCi6EE&zM^*&FBSEbc%q&Xf;6wB%hqVb_G
z&3NZF0v$f64=gyU@gn_e?*d_jAAgeV?rGjN1m=#9Nt@$%aWd54?t?NxjGr;MGh=KB
zaZgdtbBPyi8ip#bWecNEXSq{%rvYe6Rp<6)@v-jrAjQE`6jK6rJ(CJGfNMHs{Dph?
zQFm=-G~<vM9x*4>vPrPG@Offx#6<wdFAELb&m>@P<lVJHOnoRgy*6oPryvGgA%4~y
zAYuu3z(vwweHgYL5DiNg!u<a<d=DE*VBFpv|D>t<(0Hxee*2s-ditbfiR6>ewd+($
z=mZUxJBkN_%tW!BW9DQYO$s+sU2UE`qQRD!9IsTC_dP$@V^;HC8X28&Ex9LXz`4$v
zYmDVn|8)d+6lchyWOB3<&sG{7`*Z6U?H>UzFNEJKjFHFTiW;FV3mQypae8elA&w7D
zC|D=QDB_&r+!`@$8q|ySFMeGsf%B{$_PJdNvy+5BFH&f5e5Z|O|3wm7O*`%tomR$5
zIZ>xC`ZU<@yw{+9MiP&-_D%WAsG|FE!s6NuG_d_rHn9*S&C0P#)mcw9G)=tz?%5F<
z&;-MWpDf8>2cK%7VGbF)N)%)HD`=oftT1SNAcuv2?AHJOrH<zga&21R(uaPZLXnVz
z3g{@LLQ-(iK%GQ^n%xKVp?1%tW+_<-W2HaT-zuTv6;JOj(szBJi-@<sR8YqC-umk1
z{94#zAUxZcU;r7jAt9?uDj2#~(l%j-Hr}-Ni0-j6gmQMu%4SVftX=(7`s%I@lHN$}
zTq{Ng(#8IBvL<SH1YEV2U+bdXRm;JHY)0@=sMke&9T{`qZ|7L;(Zi*$xvu>J#xOXf
z=V!(8m%h0wt_d$1ehF!4<1%1C*^`QMQ(hDtJi;-?_JD@p&RKfMhMIuyhARD5*8gZ#
zPD+&Y(9kJVVtC}aDYR%Gir_S&B3IZ%O~)r1p2^)>maS|KAv~qR!R(sou=9L?MHLOR
z6+4`W2^OHLb8_bSLrpv-?P+Q5N5l5{lKn5HEkVTjT^BDy3wNpY_w?86q5U(0o|A($
zJm<OjX5gw8X0+#cyKmFQ4$IyHVfFyacQ@?lf1!mpMJ-x2?`h*s3!o<V0?f^7U;Kkw
z$ltKCM(>^`YRHD`GQ4dd_PCB?Ws(-Y7>^zLyI%wAz4p6sJ-31M%sXnq%38QmVz=1O
zua0}jj*gk4wlMbKt0nEcCK7l|%MM>x#UI2Q=Rexpg4dz1zg{t^Xd5URt)`}o9{lg$
zf7)dW5q(4aft?zttatxM=2>}kk#E!L^|OUda`FDoObV)>I_<<*BaOZFk>Wp{Z9&J$
zU-U?tI_q7%xnDgfj{a8uGqY;8Fxi((liNbZ44QS&VHGjl*Aq80KgpUi{=}VNUN!vH
zA=_wBA%HhJ1gdOvZD7C8*iZ5k72KMy)Ib&HMnMjD^7qX)5Gt7PW`CeEE>Y9oXu7iF
zUCD<vo&N!xbPHcikyXO?9|`8ihyF5qH^rgfb(XgB*@THy$)mwj({QcQ-^>h8pY4z7
z0BzzgneCfpk;|aF=y&%IW>9n8nf@GW`0EfV+8`*6-&;N~KEIe?Ds68+Tk*jPHp@_#
zU(S%weBFRoO7{p;e^V;QM-eL!DVcfZ`ky#PHMSajDF4i44?pm<%*hfSS8W@~p%5`=
zHt~<J>LBw<{;3?DL<`V=zn<goNin4Di3qskHNb3}Co4>~nM2otWb6knQCwQLH1h1i
zAoGRD&*gPQa|lCIciIji{86Ys^uG8rv#aimYs5}75cP0vc3t7e<xzo@fT}M{<BOAz
z;!8~-)*_;1^EfZohctP}!5FjAMUitKw<)aG3zilj@ZjvGUd=q+31-bf-^+5lO<>4-
zLp&{R4d%-~HTn@U#WYA8tv!tlIQ1dp(|%Ph<lq-Ruw&{w)AWnQ{Ao1?SXoA$jAP?O
zVynU6X_q<XxwzER9LdIz7P;BTm*r_CAtBKx;1@HX|AEr@q7l^iq`tRtVaKH%EvNe(
z{xJ72Q?#UljUZ#Q_HcO(8{WQCP;KKk&kUdRcRKr-4sY|4>Mw0%!=WxG;e@nB=HV0Z
zz4AVE_#XfO0RR6C*JmKr4HO1&+1Yz$@6El}9{*!zRhmMD7OBkFip+?}C|b&@j6`LW
zh<j{GBr8fKLPQc0#p~<&bUr=5=aFXMMLq@^R39oldFjI%RXfm1YhaKJ#=ie3wGA6o
zj*)rUbz+?wvS2=6;6#S<%-ptDwHwq^%#9z4-DuDc8+0yzB7w%IzfoLE8`Ox*qx`$d
zx8R}VJ+w)uNZ|F%F)Lh~1{FqG96*o`ts>TL7yj0Qn_GoC`Y+R<kT4~j>k2*Y``x5A
zpQr`hI?*52X}4hh)i&c)IY#{PDZ?j3QVW_zJC0OmY{5zT=O0@7m@ovnGhAvl;X*b|
z8oxO$dVFTzzm&ffQ)=xG);VhepP@~2C<h&CeLc;dd6gCEQvL2;`=<eSEt|$Of77A#
zY()9)2kfZq+qoFNO9Q4%<JnJc&||N&QW5J6Co<7QG1ru+gWD%giiQFs>dfWqOsjHZ
zLNERA6&`g^w0T+{?#qP4dtKqc^E_xNn-R?%uLcg!IOD`dn6WI8;(G8KFVch=wtQw#
zgW^Y`bCNzRcu;uJqSv1vPe+zLFTSb@)pKW+-zu`<m2cgy%G(4{Rp(kvqoyjz?`p3q
zXX8L(s@e4Rq!3or<)n6eRDt4SeU{HTxNvukK-=y?5i}F33A&%70<&kG-!7<gqn#w<
zxb^Hd?7DrxIVDg9#Q&=tJLk!R|GsQw>ZwRz;~km=!DA}$<JznCwimp(5;vu-(;<m7
z&5^Bor&Zu!?NXJ68b5aKg4LJY(pb|}9ep5O1;X==_?y-Wp#05PH5(rpykl}8Z~Kr6
zGzLeyk9Y{-)k?LU+@rD>!yV=9xLp-25`cb|EP}d=A=xia$fM}Xn-%a`6|5|qd4?pm
zq3z+X4>Z>lkl~^)RkBzOT*H?Gf>gxO$h5#<_>K}DmjCn4rBEHZp7-vbQI^E~OT16k
ztW{9=fmDRwXAOAqhA$*xrxgB7-`}LTtcpV>Ni-u5H9_O8Mm%k#G|mpa9uvKzj-SVG
zR?{bIL76p=J$sD|zDqsp)heusrB!88w^B(UdF^jV)L&UNb+WvcKA?&Brd|cqRFi>2
zY1rA&Odhq4lC58!*TUTAQCu!e+R#%%|CcLX0S$}1Xrh=%sK#|5a3WL(TH7N78XFYR
zvsY8V?lcK|RRuo{v+03LckvJQIVCjPGIgXgmxRI(f5nB?=)<)~K3(r<RdBWW+;+#!
z`_!&oIXBN4LfzhD0inNDFsLTZ^u;j}YFF5CRhk*Ykt`Ys=_XZ7e39=WKB<MBishsF
zj0DU+EPCg8SPf@WxX)H9Y2o8p!Ys!HfO7JH(wBNQ9Nqa^!$DmWm40sf{!GRc{_~hN
zuOC&zo1t7!IDf05<=op_d3~m^$X6q<uTc#TbPkpd=&0any!z^zrx{3`?Q@EARm1v|
zoU#epia3#er_JfT8Qk*9o0zUq#gkHt_vSd|kb0fnCr#NLChy;1Xn3cBwi20%eq&N-
zMd6zr+iwnE2iw;&smjQ;BltP@bunB{mE{{fVh)VIoQ&FnmC)gGPoW)E5Njp8&F@;9
z!?7ljqR%Xf=wYk%v+x)Xemxzu<FKGPyrp5H{)&;u{Cp`=p&lzXu%`wMcALSLO#kfF
zZ?bs&uHxDL8CvX8XEOU8WCoQbg2(pT$Y2b3ZQOhHn`-4Gw%?W83}}>oj-M))!sOdl
zl$o<r)Ysn%XVvbS0(1R;;U3(Q_{P<tq{_XGdgeU;tsxCl5EpuL+L1#HNztQ&Tg`fi
z69>LIDAWM>&*V+Uii@Dc)Rn=K3uA;pujd@e0${4+LgTEHAohLk{oC&{Lu`*Nq-D$@
z0QYMp{cPsLBf&eKp4dN6EN?7#nb(-Ws!sjof9^bJs!w_Pdg&)o>}OEm^WGSG=e8}4
zYjI(B-F(xXmIb0;^johboiUtta`@ry$%aaWmwPo97l=b{DRe?4BOpd)9uIag<8j7Q
z-VMbIMAS+5sW}fr@I80Fwe<=E(ke{I4KXbccZ(v;?%gwhumfi&n#yP~xUg^En9@&z
zu9Z$=c~T$p{z#0}ZrgOhpf-I<Zl3UQ>kiG((g(&q7t82}YgE>|!892nbHwj^m;98Y
z^}yKgOGI+<Z)$wJzuesL3^6aMA$xp47slDtCGN^BQlqT=6jbuQ5z|*kBo;Jv!Ir&z
zRh#1{^_-&bYt8UULegPHHYrU9Ji4}b-mdvhExtONdNJrL!CCC}^82DTw2a;HI>I_d
z{lohGvdQ%^qQw5U_xr=zFfzHK)bnSI`bwHbs`Se!v1|NHlhi8;P<cpFP5z&$H0viM
z_+35|55_J^r5RCRp8j_B$&O*FaAAJ%9@>vYIhE*HdqRfiQtTb+k^R&Rn>d!`qW8p%
ztL|<S6*AmkF#Z}l^M>jzozYoXI7ECCSt_Lzk)YjGrrLM1gBqAxe061YkdRsMo2^$Q
zfz&g<^OLkq)cTC@n91w`LUMa)8ug(TK+o9_IocX(W1zCXeri8a>71=BO3?z!dy4#@
zl`^W7M%{94TOV<F;wDRVy(UzjXL>6<c!L^8pYS!<V)Oo@{P%f#O{l!3BHL{rMMzII
zKO5N6M+|RSTP&&3fX0Tz0JpFCM8o#MyLEqi2}$X=6Z^iX1L@Eb-%HKM#PyiDzFblt
z(Q$g@>?=-n$SYcXXXy2maLCVVO3Ujbf{%ACPnoGf^QgM5py><Z)|$GrxphC`bU!#M
zK1>x3H_LT>`-Vhj;%##g`2k|ql94&`xe9!&U~B!A-9+?Wk&II?93<EjW|zwTD#Iha
zL`@a@R>E?1(M~Jj9pRW_%e!cy4BhsY!9xGqi5ok=msW8M6Q@RQ#;ILV0=f52-{M}p
zBKo7A{hoXCo-nvUeq%VU2!Ddl$Ue>JB2J#FW*X`lA<P?t-qRQ=!t154hOgS*5NV~r
zd7I@kA%44ki`z8?FuFng6Xf!ixScjt|7O=H(K#_8ZL%y6YCAW+S+MjGZ(~!q&1=69
z9~qtMqn+hJM@Ho@d8nWGTXN#3gu^&d+9@T#+aw2v8m$<8Uk?(8#C5K4@k|icuaR6n
zXvjgT*9POs??VKN|EM=-m?HdcU;f&WD+@$K_KA0fABaCzu2muG(}ZhY+_{(hvf#K{
z7xAm%Bhfp>|A_VKcVcoz`d)X643Nt*PdsV-OfaT1>(cB0AP#c*h;^~bz*&RjpbD!m
zM6$=$r&oA?5~0Jk2kVoi!E?ecczJ$|NDNa{j4EFsRA}R*?{G_lAUWrJZ_8K0VVpzy
z!udtwP_drhnOjoeG4{Zl_vIv!+paObFLascILPlpQILZ90zb2Vw9~}nkm)Y1k`<y?
zTEU*aS`wBtiqD=1`cAlqddvS5S|g^(f>De1l2HFWD6L-k2cdH+oSC!ZA5ke1eScS{
z1e|RbY|PyJZ%i$}@rXMOw5yLTW-&>CS5EHPj^_)6@jI1~RYqD+Ah*Wb+lzy(=hCcG
z@*+`ez(3qPL<el~y*&(BVqo&=M6h_;GI5+E&^hZP0~FJz9lo`=4PIX8ed70Wh3Kv$
z-G48_3_)p?ZG6t#;OjD<f{E!G5yKg(<dwk!eT=Z))F}#Ytqhr1*ZvWo)N1;l?`DU#
zb8%9(J4In`K{e<?Bn<?!950<x<$}P*wyR~IMS!C2%ATrB3p06=m*j`J;rm<8u7G$E
zkdVJpzd}n7fA+*ol~(eC?Q}}s6EhJAunfBw%FYO7T~bWL$PaD<s@EvOB0$3`HKw_X
z891!&su6TTz>%B7dzV85yw&b;-FwXf!*qGXjVKYgsQPxQNKph#j-Mjeq_6`ez^J3x
zSPX<i@5d{7ivTNI5c!}z7pRKsyCq3T0xgqIN64fIJQch7iuMmTkU9;8(wn7#V}0V_
z&1_L9JGcDr;Tv99$+$OPk}3nViTyhwa<;)*zXWs606#qX41p{$a!``RU2V4_1}mT6
zjV!SX!F`7LZHrk7;1#@hDdo8Y*pGfK_6rq(mWvn8xPMTB&#;4Cb4?QHBnq-gqGDik
z%+)spRKaC*+Y7Cu(vaEu#?Ea~0%E@My_soLhlK++T@7NgP^_-Va41F!t}kU-<dkZ{
z&U4HGMF#SacA!*)MotDQO1+cLt!sfH$77A@7DWg!Vq<*rNfrXEE<QPCM+T>w9oqe`
zRKT#&nmAA<4;kK%zO5!uAkgRPr`rcK;MuZyQpY7l_?S5<y;h_R>5=?544-O&>h}MN
z&!15SyZ85O+-~W>PBoL-d`1dfTnpU`)~YbvpS8wls|z0c%Q)Ar>%g(*NiPj9b$HY9
zVtwYWF2u6kE}(JKhk?`L2LCEFpyr0KhIpnfd}J7Z@Op<4Ok_{_ccp1Ua<~xMbLhg)
zf>5I;HUy}=_Sr&`(SqNTznF3vbs&d%4;PQ9DGYaY-?B^40?*SmqjnJ#VA*T4&Kzn6
ztox1~y<M#Zck_6XWur(?|Ee}ywagp>Rz0Vt%Cvwf|4mf7lqQITrY5eHSilbDy<2{G
zYQg&8FI3o~0uQh6Jp0eX61?AB3u~U#1pAbDMyn_}z;JG|%!noU7R`9JX=s9`SqjrW
zCP`TMbZCssW(6-Y?u1#Ssl$y+(H{pM@Iz{S|2OiQC0yC%_wirA=FZ>}v=sMdhK#9{
zJ2aJ+P%(h|3KGgtxsh-!=h_cqHTZefB{NGf9*dxO6)3<|tG>FP>=aevn*E4)g$2}c
z+8&k>lLOz1>$_7AZ$aUd-S;@TEg<dMQN|q^(r`5IxsjI{3$9g|o%(#j94fQDoWBZ7
z!T~X+s_PM4Sn{pW^+&ZC<a*1eMEHrq!J*ur#`8RQJnqJ91g9Ci<y=d*{3!r^LQe0?
zbNNu=gtO%88B>^Ji5)bl<AJbB*XM@S{1~^8?6<cUfccPE>ZdApD9h>)_~0yny}i;2
zC(Qxk9@|}VxWNbu_au$a7Yg9G$uZ16M}W53H=Ab?G*C8Y?mGBP0G)YdN8F=L;AyPs
z`3p&l#OLpe!JWARNC>P|_1!cE9@DkjC-mcl`a>(RHGcv8Wu9dn+Gqrii=~R~p5zgl
z6_1LK84BR@i%~{xe+<E%wx)u<>=Shd%XscqdI9{<R$XmtVhG1u_ZB1l532eTrlq((
zeoVF7xKx#50N<u{nra=Ese$YtZ^xDMV^%5)>*P0m80ly_Rp9fNdM$nW9XX#L$7(ov
z=XUBt%`0(o<{AxN6ckNLFW|=|UdCXiIz2cy(t2_uf(}D8cs|uO@Z-Vbq<go>dZ72?
zy=_@11FrT2mdh^j<0*e~w05~J^v!7;44h*^w?p|%R8s+*H;XY&(9;E}i^<`KXSbq*
z@oJ1zkpS)-><)Bq)d2=B`~Ql2STXlOQ+BSRAhJZ#j6QJDfoVPt#*g{zXj>mU@7^Sc
z_CNS;o?OueuAsrBP7hAB<;c5oDntmQ_YJN;ysZtfRh<^Qu5zIq&CZMY+l4VQ_>OXk
zwKjas3@-Nd=f-fJ?^RzkMR2)zx-ai91)h`{oonCAgSVos|4frb(fTXLo$+c4?Bwnr
zNz>=WOD6lT9CO%)F;N%NhR#z!Md{FVlN=wiRSf9%$BAJ@-{ZF{b`)r^<gpSL;m6vT
zzmwU$;`nwCpJ}HI1<rN+@st!2K%0)ww*PID#APqvnK=dun0q+w=a3S_OmC+XHp7y*
zr<kh6_KOUC9&>kRwS};R!~Ai2z7(b;3hn(kLk4e6@Aha%VeG!q)aLk~G=`0C)l&UQ
zh9I5&=dI#JP<d$Qi2F_%EFd4<tlSg`<xk(|*(i#gF2Oyr8nRg9|LRGUECp(hOGehR
zilJTmS-NL@a_GMD^Mb}c3QV4qUw!N@jzvAw=}mv-@C7;IOV(8id^!0((6&he|44gr
zMvlv))sSq@xiJddq${tBzb=VhbPQ|R?Fv{gYcAwwp$*cJ95!LQrSSTd9eMljE23ca
z`eNBrZFukVrBa7O8l&R2?%5Zlgz-ATHxmqWfbr?2hhm-5s95`sX+TFApT5potM1l;
z3u!vzW{EP$`!p=4a#R`lUbB4857dRB;uC5f=CY_>85(fOZ*#wYzI;JdMGu6O?j8O2
zTNb@uT3;Cbtb*3k!X0IEdf-#SCPKa^hwogIwS1LT@v48S)VDf)h<=klzHT9p6;XCG
z?l!8}U9x}pZ>9lUpx#NL49a7no||crzADZ#&a3$c7y?t7ierwW0!D2sxx8~l1qC&-
zC^mbHz*Zp3PpU})86z8`+GAC4>+cUOg6hWL%9C|`P(Ts+4hp1`J}9H8_{%jitqGL2
zT1pr@C}O~uFx4<RWt<(ZvisIy0(G6O8@tacVt&fC*)#tXkxAU`P-PSW$~3)?s?R8*
z>zy99%x(qLz9KCJ+yL2Zqs`qr6jA3RQw&42Jf5<b5BsqnAo#LL5^`<sYGDQG-@<Z8
zNl^(Gy$s;k;%gD}Q~|GDV~N{$R|dWNqHfMt0rZUx+4q0~sxbuB=*vrEbnj_Vkv9NT
zTE;Pva(Ub%7%37|B8d`vx;5(G19a~)2y$hY$4dj_iuys~$h*ff*l!5nzc-7f90%l3
zPlqIXuv!$4Db{kxz68h*k@6o&mBokv<S0=TMpl`E2P}^O9u>Ue%&(W(#G(3EL$?4H
z9y;@1d?LW0;XtPHgfuQtZqXj8;6q*e95xOYfKsqLDb6B|d2dp9?hf!^&x4`}VL1Td
ze(uyUH7T?^uI}Pxz>R+lzMhkPO8{Tno!F#(lBmf-W4*hU6Im^LrBfXUNK9ytyu3vM
z4|%!CJqu&Uzk*|VU2P`tm|^{5-6=6#O0tZfDr3bnPpvB!^-Z8L{J=l2ucG*l)gso{
zo(0DuY6RMgjG-qdUiwO~2=4Lf$WpS~impD6b8Y;_u=qA1J5X8}c^fY7X~|>87#1;F
zQj8JkX>kufo)p9f61;Pi?aWy7L^Y4)haof!$W7R{3t;Cbg_b1}Gdh^um6AJb2$NYQ
zrv{q&u}e9($Ko(Ej)x^#tG+e>$DyfH0V8}kQXAi8Ol8J)MHblygaJG^`^vMz&4(5b
zVx_0|Y{ly*j0HHW^x?|-j+sC1ycl79^Sn7P3)Zc~Ek9G!hnCe1;n7YWB);1vs{Lg_
znKcpHU&VTmp5~DLdp8gArHJ^SVqwGkf#dfXl=VRF#RY+&d2Zz0W*ru1$c~Bc7x$@^
z=|b>RNlI!VH!}VjwRm}%16$%7j^5YNg`*XT+95&Qs1<B@j+cfD&FZZbi<)%6vMYYC
z?;&nfGv$rv=-@(spbPceuLHiiOvbGTxlyyskTQ_RjlmP7MEI@^Hw42JK6r5>%XnL7
z&Ltjnha34$3EFUBW3z5w;l_=Bk8L|+d9n7_mue<uZP2LN=rHZ#M)n<@9Um|AVJUa~
z^qn3G9HZ+?dMVC>0i6Y({EPXqrM_@EB$5I$BAI97VtH`Efw6!zD1h$U3m(!?D3D@h
zlVJ0g2Mb17v^oWakZQ7jfAJ48*tOZo(<bub-z`p(6Q_ld$>kvTQaKrF6CYhHQR2fz
zZNCMcJ`s$g$&(I@AOrJ+U+K<|e0Vu{zP54Gk&mR8T(9<!LE?y$;NMMOb!ZsJNMFQo
zMfg@)u_hVFLVKNBVg>MOQC+M{f&^aC6yoR?BEzzCibvIdf>>ir7Cf6LiRQF+Wio7J
z=rphnYzq~_Y4|pNCP4}xwhgC;vy$OR)-JOTSA_Ay<>{8N5NWLZ{*G@zkPJ++2Gylh
z5qu|Ya{G#}460AW)sRSJsJ57D!VOXU@nrOdg^w)GwugA!b|J&)p2Rcz_lTiVV|8hn
zzZ`N8l48X&$)Nnj)@J`xag5+;H1G(K$Auz^>(4%s!KdZW9!Y*l+;OBq$>+QRo^CB*
zb~K`ZYLNX|_5n%sytzwEK0*<vkF?!wDxpAxN%e`6+fwMfveIL|>4MW!#^KBA+F-AB
zX4g><X}l3VZ#LwnjQ8B4##frP;grI(fhk1>|FT{TIi#n8j59{Zzj*5a^Ej3D4~;B3
zZw>g{u&jbst7;F5RCJ;KiNN~sOIfsWBIOihs-oNE>rn1hUGPkLukay74qY$z9Zcd-
z!;kMSy(YiYgA>kQ40CMcaX!-jyo`$)ifLN6cr@vQWkq3b+;4fbth%gK5vYb~qb7Dx
zZ2<Y7sp0Jz3fOA1E*t8khN0n(^XcV=;IHOha#KtZEACnUCrYP=jnDQBCYBmOf~i}+
zU5X;UF^j2X^Hasr{w2wQyT;HpU2GLGrig9dx8{AgtAf|#%*dZoO`zqc-`yP|N@&cs
zQ_&+^83SjS3OLRXaDQ*h{RmAZlwv*?`tF1hQiM6^Q-uM}lK)-1FRO%Rg)d?ww<uy_
z*U(#%@1_f$zm3h76*0;|_pt9dc|0kUWXW9((D}*0t!vY1*`1LG)`vG;UD#;r{{gUN
z_<Y?9iXv9kjf{w@%V3<*{lYc@QxNdm=Hhu@0qLtqQsog+_-^Q(K&PrH$V}aTv9v0W
z#kyo##xe;ESQ5PNLNbNUtyCo?eR;faDC4ee)HXEP``q@dqA5h2k(AUqE{D3~|DM>#
z3S(5ZqoXsIDYT84dL>86;>|SA&<BkIxOjt~hdKkm>6pV-ctr+Nv|mYhTk+v<34;=s
z7XT0Bbb>!;Z+fvhHfF%fgBP>Dd91_&SR2x~>@1c-krT8HrOI45wr^v8rv<>tIk%$)
zRg$PW`+l%ikR8dKE8BnlBVgiG;MRjF5-8X1HQVpOf_6;F4Lx22WVsa8?r0E0y5^BI
zUgOQ&PC0s@w#NkCeE9kjnYZDRS@Z+e%ZxY@!A9w!m;hD2PivQ_2(q7Z^Kr9h!076$
z?*}uDfxccrsr-u&`h@Rp2=JlDWU+N`V%Z4HnCV^nLIsgSPAuW)G#wh8;WtxvGy*$b
z!}1w*0qpM~4v{PAaN|*yQSx&`NXykco<YlxrlVJTV;bmC*U*NUL);MLM>15uFY;mr
z@0}Q6p+{Gvy5mHg0lYc<o#i0|FOJ+wsa%Su$10y7>*OE$@Wt~5FHm@pM^t6U0WAi!
zIa69@eOMoMI1_CjBDpcwtN5HQJtO+8I|)7O(gVrT+`9Bhu1yE$*CW;#aeZ9qBfEtj
za3zQ5J9%+o>ne2%2Ol%`ovRNItJ4M6`fWEAn7Hs1!JbpR>Eqr<msykzb>ZY<iuZUZ
zCth$k-1H@v1+iI_)~s$b|I@m2LijmRhyV4lbsjdf`^l92-F&kjevrJb`-uZ}9v4@A
z%wxx975CHoyR~7}bob5k{T#^7vFqvV4o=(?_~F4r*UkJ7ZY%$|%z<1_f)nYJxv<a3
zUq*3>0{bq=N2-`{;?aJef@e|OcvWot2Yng^nn{6m0Z%!R<A&zsKpYQpbW46n(4@dn
zghY6(5*NNow`$man-^>TdcLO{Bm?Jt^V;W0T&SPFy@H{I4;wW0B=^LU;i5_OtA;Jy
zxP8M<Pk4&}zWBw}<*ZAF#*C{yx0ATB!>(&<%5FiFmP<G(xIlt?5p`QnDDj|q;5G}-
zXF@30C|8+UNdgxqetz5cJm_`f@Wyqr2<l(ZcRvzIf>n=0&dGVaD5=-@e!5i@Z-=~M
zBJCvs$N7&3gTwhyXut24H9s-5RL*<YrAY$8zOY8;GyK^5NQ6^VTLKUAl+SVqli+VF
zRVl_#055C*F_K7-MBm^372|9qND<3pQArj=b19ou?`SCu3HdJT#7=_2f3ZJ9UI?ML
z7<=bToHQn|+)hpsC4sMsWV{Eh2)c7>oVcGMgCb82+spJwa9AtQrsl9H5*bG&^d8D0
za{y-t{Yerq+~c19_Iev84_=6T_Hr|KzdyJ>c#j00LrxUVJ>oc|Vl8-MRvv?;HBEh%
zNifA?J@jfy0{J(#i{Ii_L{{~yJoJai;JLf7U8r3W11)-Mo|2UC(SpN`hXZ8LI@oB|
zx4D-#u7nlx*el~>>2;><9uyF>YbMXcNMmla;GI8?Dp(dU&3S}F8>R>=5sQ;DxVG0Z
zX=0Zu(%sBW-`c4SBU-^Z4z{v*)WMnYj;b2kaJD9O=IDTw_6x_Ys&bfOmZx}dLJcop
z`|9PNpbOu(Tuk}FB#$>Pvgq*ysw39FVf_)S2YsE4YXZaas9p5Ped3Ke4qS+Bu}sy6
zw~rFG>Srt93CHE?OAG4wJ>W}5c!2@D2rC$QyGs#+FJ_<l(5sHB=e9q|Z8n4-<Be83
zr#JV)v+<n)zUtV2{tNf$m=Un-ceqYDrGz4Wy#{KnYB=?@Dz4$5F`PV!EuQV0j?y<b
zXZNe3^9%9$6RZRrjVvlXPOpqfP2E-p@>S5q%A{n47GQe??Uw&Ul(FXpZRsdU8Fx5_
zX@vv;<oe0=PB1Iup<uC;lr%*=a(;E(y$`^(tMjXNw-TDR3n@*s%H!_=!;T0UQ|N9P
z5##e#!v6sP0RR6Cmv=bU4;RMmz4zXGK99Y>=RuJ|8A(yul0-@<kw}A<QC6hFuSqgq
z#rGIRLW@wc(@^#(^X=broj=ZXuIs)(_kH%$mCl(FCG7jUTHvye2HsM61tH(maA!zG
zqW7!<^2h|LXs6JipZmZ=!b%P6_}@&YGsxrXyF%@1xish_b?Glgsp8LfOZUDIG8ogJ
zE-IEsgSF8MQL7m$I8gOsP4S)t9*f?8AmAbmt_Jr=KD()m+a47DSalP{fB<fvpCL2|
z9gSI2$X3F-r>as-+l0`v;ZH`h1r0*t%AHfrD`L<d+Mr=JKgOMIexSuj1I@@@+qI(#
z=sOp=UUPy6r;GHiyCOiLScHk*et8_f{K0F>F%HxT%$>E10+7EGZsg=FhyH~R%dNy&
z@kds-;g|{lLu?k$i;FU-pRwF?)|&}cUJL#{UqS%0#9-fxG${<WlY3@w$bc2~_di}-
zwSp?cd>7~cB(OZC_ow_dI@Ds^^NZEl3X-4F_Wc?b!_FpuH`lgx5^^FqUldw`gZ;}v
zDKk-AH(#P0Cf3L&9`&Wla~9Cz@woF?g)k1qy*n@#v`Ws-hSnO}S%89l@_3Vz5K1s{
z_IqlqlEx{FA<g;b;AUKXT!%{#SGxtXEW=mH_)Ct-dzZ}M*G5(2t_gk|IQ80ZL3xc_
z{k=v0u$vhKn|*keFu{jI!Aze=%+|?M!Y-CjX$tHo8ZvS?`S7&wOsV~?4bo@$d<3(E
zDSWzcBKchg4+<?63GtNB;ha=|&q$&PjBA{jmviLC&7T#90`llFp`j>zcFGvMeP5=!
zTXG?H2eV|tLk7%r@!MkWV+<@g)oXWrInnsl#B-fqM!ds*{J({dM$pW!`ekn|2VUO!
zc|bvu8JXKMPjl`t0<{?>wsjf@`dG7hzdgo+s+0tmyf=oB)9cu3xWtZOS|?cDzO&++
z3(Qq@E{1Tp<9WbJ4?8lrf4t}w$&UPIwmdxl$pGx9Zq=ubu%nGDl~qKH6Zf%9zL5<w
z00T?8gGYrquvYpgqgXE&e${M_DE^}lA;q5tFCON=SGH@3?v*^KTm9k9*30^!z;xx;
z$`l8t9+}?3>dA-3Cu(-sY3jp)-`@tzvpCTwX<La;Fh4eTI{f(5t_N@+=p?T%7ruVZ
zt0s6s0H;>hue%-9gG{FAnKQ23*ddZ7e2x^v!3;rJJ_SAaFtxXSB7_H-R^<+wa0ufq
z5u-2BAE^+KTbtQe%8MJuB@G1!MbMmaUmxc+Dx9CzVCGKY!%&yH8vU=LxKKZ~=;=;{
z8)2`1bUX6nrTshIcSVcio3)B99P(7y_E1M_kGcR-o1RzgP?5ykimKTD1qxJ2PjC_v
zg6Pxfazt-h3KzL$74LUZfPOX6SW{jIL%(+Sz4$1DTFoPW4%Jg&n|w20tCcWD#Qc0}
zc1R9i>`BQoe@cPd?Q|>Uks_!r4lWsS@;DmWlkQMWfhLQ2mrxYN#W8v>-aG{i-PUz+
zrj-KAr6~_~D2rp@D~T6FEsA*hkNc&&KPhnd0?$%Hkp#*=X%+t8h7$TzIqzPSrb6CR
zH`5klDYPvVdssqK!N7Um+!TK**xkMRzvMA#Y!gWOv~oceGs_>^upku->kDpWl*r<K
z!_;lcy=wS$e;cp3o*pFL>$AN|%Au%hmwuL#2L75i*WdbF51M}V{I-88k7nBzF5e5$
z#L~v=A=CTx;j!BNZjCYpoX$6K&AzRLj+yjy3^E2_``Ur{UZ#l0O<b*xwP>TFnkUP`
zq5*^%(OKqIDB<k1rL}E`4n9os6~Fk?5H>@5MdMRte4TM2#^Am#8pKle7cLnAWImlY
zDpSGeYM01ZO$uJrF4?vsX#x`Nd7T!wRB^>p^0kB?1=sJ+1u40if-iefZ&soje!So%
zQgWPv=es1BoN~=z&-ys$11ELtJ>XkJA3(wEQ=4|VO_)Q&T=B8G4RyRg#K&o?QBZ>K
zE&0X567&t+x;3t7U__@8^MQC><mh!`FHEt5jjXV9jmsLy8s`3W-a`i^o|JuRYb3zE
zu0Bh|TocQW&gXp|(8AXer8`@X0PKu8bgk1-6GP?F^8}?e@o`StnV~s=29Djoeo-`W
zXG_$VO|t6vCE;v3#fJu-S_1FaM>TLkjLVa5K?U#o)(eZ)(BN}s<U8G94b(aJ<J^tM
zO4uUEy12YZgQT{89xGJG^~r^Z(ftZ&c6UhHTiO~lCf+M;pH{<DkA=IZ#N}|OxKvAr
zrZx26_3kfUQ$^+85u3gbl4yR%=|iicHQ2rMUW%Vo!Lpln#g(<9Xd^vom%wTbhyJO2
z+bd<<<9G18{)!;7(*Iq{@1uc>vd6KP8A|x=l~Z8eEj~<ki95=iPlF{}6YXFRMYJ9~
zchD}F6HjH9PvyDMAl_`>w27z!-jr|@JQBo$3337c3jcU?TPBPrzfTUM+61o4n=xS6
zo{b6a`v5tslYJ4JW$`R$StC=)8kwlvXLQ;LfVb+>kCrJZ6bnv0Z@uXc$*fU3erAAx
z+gDvmc2r8>{U=6`lhx))I;V-=XlVktqRZ<Ga>da4(dmbcYBQwdYg+|TFDp=YSsfU<
zD}riyb6X89C&_2Lt%Iz2mY~r1s*dZU5MKN=RW$T!f_!|=H#&a60<1E|I|Z}_F}rfv
zv8&=Ixi|kkzq^tJtS8VLvft;&^p*myjryPDwao>cqG9IXq2e9w>CA@%oAylYsh%J$
zFJv*xKQ{v%GUeNQDi6kPpCE?9f0MloF($Wp%pmMWut_`@7haS2IVsXIMUHWZPE`h&
zf`(&8o~<Sao^H=k-sChxjwc*@x3|Frp8bC7?tg&|>$P~bIDXHP@F@An4S5p~Y*5JD
zP-evuUxj4B>UlD5lK^;}HHK|2?m=eD%;>#$nun`+k$ie*hB0l*2oyL;B@aesto7_%
zdsg{}wBs;!)ATli4_8}5Ut2Q$<C7G_^U-CJ>Gvw3{Esj4k6u1@E@nh0w^}Myca0o4
z6BiY}$q?8U=uLl`GUD5$Il5~%Hpm9aYB3fx0LjM1^u+}RREaylUdu<1Rre}9N39H?
zN>GYNqn819FBhv*0~xR}w}FkLQ6Ibv{;p&WFyMo9gKgfOjQBI{q4?=7`e4)H;Z(}X
zh}&1k=j^vKqpSRyse88`nEF&tXt*$9LnfDz^B@bJIh=heJ3tSZwX`*@>liV=kjgEX
z#)cU~jQYXLROmD>stK`YLb)Z4glG>A)PLCaZZw?=Y;RtO9G_#tI=z0O0vZ=SI$*4A
zqDO_L3>-?WXU6wl<{SM^JgB!Z)|uN)f#gH({qpx%Fu>N-)SJeKUXMRy>^Mb%1bXHE
zKUJ(qv(_?<3g^eZnwV?%v?!p`SG-?loDF3kH;I%~37~nv+;P4}U7%8;yT(j7a8x1E
z{g<#1N=@Z7)EVo7gtd<LP#Gs~4AyyUy&{ZdPJd>@pXoq*4du>|GdGIUG5WNrieh)b
zo2!SNbU+~TvcfM>UR3mq&I=e2L&dw-vyEr9;r!yRshng!Ty$>@qpOlY=8+F0XG^s~
zm2UqF_AGw9eEFrIOPLhr4;YX5Mrwn@lvl~|dI1cJ7eCP6DT9YP$HL{@wV`T}`JDuv
z5KgO#eXu+)hqTQH6%KCKh6$0;B^fVay!kTe<7AyY4!LPZYz@{1hL9!ytPdi%=^)!X
z4`xODowMbcMxiz=Z*Nr#3KGM@<ZCXydzJ9ybH9=gEC2QzYb*7|Bv9yON{rS&zhP9k
z$bTqa2j;kZ46Vi`@l9`aqqVgvatEFgKcuS*jax-|H@}m{%2t~<TrFxC5kXf5Y!q1i
zIOM&rR~C!5-ss=vs)1p1MQ5I-Qy@x6!G2^_4kuJArTm69G3B|I|6U6!JZOJ?eTVoz
z?nXK=$%Sa+ZNBBs?M!;G+qPxq2%(69`;=#k#&mFB$Y>4qw;sGJ9L<XlRYH>^a86Z`
zf>#(V3s;u(LALs{)t5YFEd6S38__^P+7HY36-tKiW?SYYSGx*|_iL5z-Au(v-Pe=i
zM~t9?>0bEVc~u;G)wWuGkBWIU4II0^7{l{(wpHGI>S(=(x<~OF74K&zovrsVg~`V}
zx3$DHkfhz$9-pV;_bUEB*?-KyBU6$!kx3H|hv$enbW(A8dZ(s-wgoKiQ+3bj(8LbU
z!rQ@zsaPyReZgvK1wUlDMt&aD!o940Q>`B<Shf4>4%>DD?8P6vDCpI~T3Z{3FU%AS
z&j^wvZUdC0+84?4Xru3ZRN6@f9n=gsYxTyF2Dhvak0!He<5l^>NU2+zxEhlb5kB;<
zr_6FA!%Ho6{XHDKx}t{L<IKv3c3Q)M)~cNXc3L?2TiJ<DQw5z0N^b3XWDVCHmUB*D
z`p3<lM<37HDWZDA)Qj4$*5LPca};q)1Np>!o$N#8(E9q-hga6D;Xzn?5#3pJZ0$U~
z-tQub^>ZGceM{DGk=f0!$yN=|mgIRj>xf|bz<BM`9&5ne)7>`XDyX1+wdC<>e&nd$
zqPSLQ4F$Z#wGolZnDbq}ruZ2LK8}$a9`vvV?I&v`3-gLtMT-i|%wWX#7Cf_wbk;Dd
zAGh9lL;;%~Nmz(Wu8_8sH!bic4Xp08ec+jw!<oR8C!zW?<ab(y(qBUw>`>>k*taHw
z?dBpGwU<W7I;C%K=w1PEi9C(v(v`w66;7Th?pGw=#;Ye{y8&uTR1z;GiDRA$nRX+p
zny}Zq@N=%408Mt@I73EJ>?@oaHe7yB<hLID(f-#8+=v|=M;`s_I|A8?j*mVQPNRB8
zvGP{180q_5>YM<QV>6$h`3({0ZM7z(oGf8^_+87>D}2b^V_$jf)G(16zTIG7f(6vi
z&N_Qs=0>4{XU!8)!^G9?wpAH5=1}f-dYJg<j}J@lr#D_1B7*u;$GaBIz~oA<g61(+
ze4JtRv50Mec<{OLEU)>$xeeEv!x$4<Y((%`ZS)c0veZe*WK-BZTgAV%fC2SG_PpnH
z?k1S!D(RZLOu$0vZ{gKKI-DP9csxLTONfXo*1T3X0fpUJl=0>@GHQ(ClV9?JVB^{>
zuz1E8Dz^!ARn#w&5%WTP(mN}OQX*1>ZPW;A#RQsL75|V4CzXW?CWFZ!RyfnP*$6Zg
zBn{?&EReRfZCj$+tH?8(%`!M18$#ZrP4bnj^W*?aa>^5jm*l;6PW>E7Ly%UQKfdkg
zEcwh?H}YN5Te4w<=dE+90YvruN`0w1LwYUSc?`VkCKC?Oak0=Ffbg3ulWP*w<n|k;
z&O&^jN!w2aPPsAqVB0d7sCRjiY=72y?Ulk18F+7Q&&+}z=*FP}=l0*Ef%P6q%eoOV
zY^Zbg*D*bCI6i%{KkOGd|LZ?XE3dEQ)zAa6$No~`YYxlzz|jfvg3YN}JLd1C+Inll
z(F7{I_%+i`7Eh3llS_X*|K*LS`r&sUIjF!iBh_nBF+oQBc|Z9z?Kc@_v+w=+8x-gt
zoom>~^ow*mf7aF4a+)mqT|#$CodW(IHoKa#evzH!H3s4@XUNx=Ln5}G(1jD1#%(x)
zf0H>^&&GZCpChN8x64larvuUd3m<+HHAz-S6catt3*=Gd8M;>k+7LE;C@{Biimcrd
zX{ffaNG91F_2?DXhKf|-XFu;wlbih2XZKJ2A@4o1+$FF_3wkI|B!|w=kaEE(NiO^=
z<XsO}rsGALKv!<RWO8YiyuRYSLvjBa*%RAfz%#7@$<$ts15fA3>n#B@p2HjDwWup&
z-)%JDqVJvXZR_*o0iUCXk2=z0nGJ7~!cBEhkol3S7Pd$->hyc(zhXcQ<}%5#bv1bV
zpiS@*%OCRn-B(cs!Aw{!mZ<0-s0MSJ#ROK{{*ov4(q+tbSTOd^DRQDq6>5g|eZF14
zLKekRlHz69P&?fJQ?G+6XvA7pJ^Z>xHds`fytU-O7&_9ws8t1Y6n3#YE70NiwQ~bM
zu5e-hjV|dgPAZVNq?l+KPLI4gS^i(8c=6>xpgnCs8C*`jd>cH-fYGf-&*jbWp{KIs
zk@DlpFs+>C|K$i17KtC$`5Y^NPnr)Ox0X_dhC8v_r?gqnP`JL7rYeLhbVsIaJCs0!
z$7jJzhz%tad_J(O3gg$vRJHA?N+9!bX6?2*2VT!RS{A!1ig&Dwd!6<ufhKe5=#C>?
z$n3s#V?k2_lkT{ur&%b$w&=!%(pesSnz2DNrb*%8<+{~2JtgSl_p&SK;lsiXzIRJX
zvbfRHkg$cO1Yyb7{rq+c;8nGfQq^TS?1+!#8ab#0w_F>VR+j`Z>x}HNnNte*Yc-`;
zq*@8S9KNbkRWFQ}RlNHS$t$6#Ow$u3HDxI0FI#!^Kos{YLE4#NW!!r!&z0|mGHkW%
z{9N56j!GukpjNMnV!4Oq9%QJ%%HxG<C1xqSZ=Ar%Q>l(kDNoI=-c$v=OjciwkU{s$
zorbhVP4tl;on@L(gSa<b-?k;mVc&YEV$Gm7R++K3HY94mdg1jot1)@J@GH#y5Ca9h
zxgPmvhiQRbg8s(9PDPBWpwDF%q++G}Ud^#89XR<|V%Vim3G+vi)8r-eFuzJ_-m{zn
zx%K<D9t=`J=iR3k5Ao>Z<_*bLKIVF$9G<2Zx}u8V=29YEWBPcYi}QitvOc`EsY@A2
zQ^#s?>EVVe26(<#Yc6QQ5RN&VkVzNTM81-|wFV|b+<m2BgNefgGK2(KuBK?Aw?o%>
zxV|Bd#5y(I+-3$w$BxII@6kr{Ut;wge1@3e&!cwxt_3*Ds5U$Q(ZTx)ZI?UJ4e;z@
zgG2x$0bM1jukZEiV&eW270cE7I3b{X{&*?C(i`tMEei_fzZYYBdrA+#E=3%B@r(vK
zQ`6-2{S<V~9g90Q{Vxwhl~#wBSwoiWu$jm%3MO758&!>UP~Nn{q5Px`EH(1pR*|RR
ziAYgqdo>M=rZhOx#BD+FkjLmov@U*Nx?b^oL>V1lZRn~e+JeK#c&W&49nAR>Dz+y}
z9yRAV-MFi5VdulKL}E${m*4g-<_$<-s)u0nbgeD;E||56Zqh{7HDM`nB|(&=>(4!t
zZVS6TDM73u>bNxaIjzKx4IR2D6595*z#;Q?Lg0`p<_p}D$;$mha`8WrVjs4FyJM8T
z4liY#cJ21H`~H@+_?uM48fXK_UcnCMHvh|eea~$gN4^unGOd>#2CN}2h@>?c%Hv0a
z7n^4O`%46P?>^Y#Yz^!$J}18qlEGUq`W^^=r-$;1mtCqP4Ho?Z1rx4FAcwP>n%{rS
z@NjAUd$%qPWRs4?vQ3L%^3;IvtsQJ|<I9tDr8@vVO$={|G(lX+m(-dP;Q)&3EBPd8
z0RF?dL0=B?;aT2U(O3;m(E3%E6>ds^-nXAS#Uwb<nk!Dtt(p^v!*#X-wpIYK>QWPf
z%=njw#;7sE2|GWrr1k8!ge9(-&{InExX#Q$m-vbkzL|VAvyHO=Pz^me(D0Yk**;Ob
z<t!%%d2jW*bI%-_5*%e3#b?Q!WS_e!TAa}6n8l_&Vg}<+qMWTyj*~px=qcRJ0bzx+
zdHjlIu(wMiMK7$2<YzdX?h?TPq2DC*uZEgJ;kCzg&A~Sai0p7}RptOXy78v9Iumd-
z%iOB3-%Yd|p1xBv%?|eO8jg@6Ch+J|!Hj#vC{b24yDO)M9jgBxv~`a%2H^l#QLV5E
zV)5*J=jj1<I1^~+?$&Pvg{?>82Y1a7+^;;NqS-j0+j!9-(B23xPU&lq59f)pnI@eV
z9{>JXoOQ~s)(~RY7Z#kFmxvwOxffJBIUsWFgzgKfA>htn75;n6gmc8*A=X2ju>Y>r
z<g-Txu!+&Z?9{<EA{V^|^9{M+Vcvn=BGi9*;OsXBE)F_Kc+4QqtIiGag<3>=jXvZ^
zU*ZK1dbn_Yt?{fq56Bit365;ihkR3cZu=qz5J&(<K)JuVQfimU3(t#>e+ur^1Hbnw
z)c;K}!Ux5KRIhV<pyy<F;8eICu<eWS{$j%nMQwM=jrZ~c;{hcGCmuaeyiIvuU&I1`
z9m8eB90kBcH`R&%2^DM?G}rX_*r5KW>CM0Hf^cS1<`KUa6+-I;q{l9^L)n0u&Qy#L
z7-czr`j3kWkLf;zdn$8+*!vJU*;--v`|jLlyJiY3O$FUs`@jVutq(_@i;BWo%?n!(
zpP>M;#^tJ5zyqIkiaF>q#9+2z_m^i56rk66?!&l=52m@UYl=}MU~@;K%$NiPZh3_k
zjBn+K@+99Lso#?D$Izob`iCyWty;NbfB;A`0?*&q(r`Pt*EI5pE>tF07cyoDLTdC|
z+Z`RUz|yFg`Td$M<lk$y;p`QHrTafFl>d=~a5hF4_cUFY53q3I(-#3S4eFbeRDd|i
zrn00vy6~o7E>F5x6ll&n<ocWyp{Dl>arLt<G(D;C*r1Aok>`ijL+MITS4e4|{&%P2
z>yy`XdL*Dx*e#pqt1=`Bmu6hvLxJbq|6{7jl!AokzZ|`-RpIlmaP{<mK5ty(z$<e|
z2DB@NT!c#1puVpqZ$X9%*qyy5p(6+We~E$tehsi1(L4O#T`Hv5ESycC$V1DP!#}C9
znvieXZ+FU054dz!yl55*5MZIUuKP&~1nv*6t}^R`kN>>D)_-^ZEX&HzRM!Fi%nWa{
z5q)6yOEVn}RD$7mS<2*IUD##&)bv)r0lfF)w!I#&3{EmGa)HJa5E$5ezjEFX#BVMV
z`k5*~H?}OgSWJOWv8Nll)r>*>YuIXIkt!6%x54iv3e1&;Xs#bKft6a@<F|^`AlS$0
zyPXmhO1S6Q^Lk97=8Y3q&Lwp?!{&PIstOg(?{i&=vNMNjX`6cK{TiSepXU;|Oo93I
zs!#QG7SJEi^(mE46J$-UU0%+kz#|pM`<tm&5Pzt0^R;YEh?isWNav=&|01u5%v>j6
z^wpa6g#}GGm%X*?d9Ds9nbIG>8wn77<c9KutQNfL+4NeqSqo%$4O`sipur9IXtg`S
zTEOE{68hgQ4Y0j*=w3o94SFX#76ZC9!N_<%KY5cHOvU-1e!f71V*5WQ+xBU~HKk7n
zYnznehjzF#yR9`eu!!AsuhszLXXBp_QWe2KI@CWr${JjAiaDKz)BzR-)va#Jf#afe
zm~)ynaQ_&0jvP`0FNwg~ryf$kAGA+b|AI9*@%`$~saJ&rp$(>-N>MmUUMH^~wg&37
z=w3)vfxR!a!YYmnLh%?l=YTcH)GwS7(N_jvAK4a(J-kqoHTAXhU$68SkrpiKRfKx#
zStg>M4XDbhab^`X@c(r0zi%-L;1=>V{>nembox~pWbL8Bl#F1EuCzRSJ5}i%^>LNx
zRV@#BunM4ge~BP3%R&~diFLpE0>RzVtV5p-;I;3q%EwhH_};%mZ%@o5VJkD`c2^HT
zOuL5T_Bja<Y~ZNA;PI6h5UOiAnnghFXMe3-CSu@Rko_ah=L@lw^M7nBEmrWvWO{cp
zuLzu^cktG9>>{>sdg(t{v4n5$YaeXm6N1)rhZj;4I|#TU^u0~b5*$q>d~?kO!0TtR
zxqx{qQLxn3pc!TXOUJY`eXsICXF|~(>VGZ7`&?o5?T^fX&8a^sTb>8}X$(2ReQkuj
z$(M<fb7r6v(`nxy&I!BybhXUl-x9u47sJ{u&EVbv4$eU?cIYm>7IU<^i%4T5n=H~y
zL19bFRsR_l$ZnRkSbp0_?7mrHSUYS29i9Ofzlbx#is65EhBF5Vg(a3z6>}4~!aI92
z`!pjcI6sOzHaS9Q`gd^e&o+i0y-PlmiVUz!Ez=pa87C~`%kI-wjUfDlV3_+V9r!T}
z(-q?n0xlnYT<T{8ANH0^CbG~$jTp63bMJ5Bx>H~1(Km*0v;N$ZiIeMu?yDJ-)YNGr
z?g6)N3SkKC^5Wbqv^8QdF>QBH^eo}qW>U~nVF0wEx9&AAt3+ybeO+wiJR#w|dqGCa
z036eUsHzWE2#;@z@fYJ4iT}0_vY#l`2lJp-1#|lqqPOyqpnAa{B6h~huR~2Asw3F5
z3lvs}myH)TUFu#YKHQFp<9w(GR&vvEr11(7W9xSQyviC;C2{Mwj-ejBiECHEq!mK)
zg!q+%SsR3e-IfBw1}b=`_<5aRT_x&oE99;T(L+$wn3lp0D)b~!SYzr}iGIEZb4HO2
zP?GS`b9IaYzQ>n-elJ}k76KjKm49c1;Xk*^-<_m@*$1r8d$~?5|5Tqi63q-LihbLw
z#3-;SlqH0oiw<<nPpUjsW`*x#LbVqobRj0p>?z+HIw)h0ee!jV4UD#@`E9AyfgJ~v
zT(>-=2MNZDK99#aAbIUwIs=yuL|mx8gCz`Lq}$#;L(dK2)=i%@gS0_TJhtyW$p{-(
zZuKv>@Inh)zNdS;7W|fCyd%HF1P?}66kwPS1}}<+=vrt&XIWd<HD?xh`$YeXi-`bi
z({ARtQmqN9KJyQqUb8~IR>zm92ZHc_00030{|uLRG}dnz#_hfLDD$;muh%>5^}UUV
zWMr0x6fGlrl_aZSQ~jip$Veed8GWCkL6k}og^I}Dn|}U%&U4OlJ?Gr_bzL99_I#yC
zOdS%dNAendIe|Pez##>qP^uKrB>RO3Tt7!<<8`>fC17BqW<d-t{CK1{A4vqkiyjhj
z>byYfV#&roNPzF?Q@i_`L@3bRp4DW>4_O7KIr$w@z?GN0cjvMiuu-cM@s9$)W>)Qe
zZFL(s%4i9wcBw(RBDMUym=Ls7B(dJImxcTr6Q8-;)Ic%(Th5+vVGx{>d7nQb2gx!M
zU4$QMpvT#o@o7N>HqHz*>4E|X`>L7B@DiaiOZ0YPmKdzs1Ru|Rs0hlZ{1}uxiSXj<
z%gGmx67W?&fl-&P1Y+SH2giDd5cB!3=tZg&ys%iEc+{p0*_RmcqBwQ1EIrfjN8bjY
zdhJxJB2;1FwwmC^eiGz6e|YcZCId(9U2dn-iJ+aZd1W?01B$ao`^@a*z`@QUov^G9
z7rirMDqfJmardjP)3NgK*-X&l6s`f$yZ8&XlPEA9$8|OvDL@my%zrkqn&9dA@JI4C
zDj0d?du#I$K(qPotB2PpP?vN1gN+sq@}5oj4<1s2=14<<z(Z8vxg%HqFoX^y=lFM0
zwaW1JWKNVHKMhuI7FAdL(1J%c2O1Q3RG|=e`q6NU2Kyho`o{a|fRiR|L%>}Pj<js5
z&oR@%otH^mLrxD~Ntd>CWfFn-<E&S$HXR;th&PB%=|j|rvs6g6Iy5RZtEZ~dK~IzX
zez3z3BwwGoX<tbKw?aea);=1fr=~wjdu9wTajTTa=QIE;ZeC5;MFVorzuwkd3_dV>
zPKHa6fp@;cEjEw}te^iz1Uv$`wIa}85JZNT9o`uaoheXXk?TBu!4yC((}a>thFzg)
zZ;Dnmz(j@fR)m2WWFMr4+;Jg8QhS$?&=e7_Ke+3^{=p22-T&qJ^k@J<X(=JKPzCsl
z4a!Wx9MTF)UNcB)fN7_1^sFHPY8!p6?Jt_c(|UQyZZQ(92agR6f02VXQwnL3_s!ub
zu~@9Fmk1Tl?MejXq#=XhbAw8$Iq>_*wWS5B!2z-2uePkB;GuLl|4^biyjm+78vUgL
zHo2e3Vw-%B#yIRm-DwWI)0uBp43yzyi-5m^B`cgGjE2e1o56t%`-gGy1bBXIyYGd+
zD;SpgaV0m+3?fbnhxoTB0FPIam$%diRvIIBG+)*XDn~G{Q$q3}mn`>=$W?|ZhH!L8
zm6*bnc*WYFb{Tk2%E-ShJb)KJR7@?^Fop5BgQ@iE(h$d{<EWB7fk($?lLo2);yzYd
zJxP%OojP&T@y0nEGtpy|)CIVNU$dR67KO=Q#F%>O5>9s&d2{$I1~r-Cq!>P7pv1AL
z3;V6$YL5Ggd9qBPxzS3G`?dh^CG#GSt6asEJ%X7uD~&;_ni#k19S_X<j1e-l)^O<u
zwlVr&j6gPA;J*G#4w$isU{6<D!^a~9i;b9!V9z5;`%M{E*mY%$YqoY354hgX#;t1z
zfvv}O{^((ZK)xfl78zD?wr}C7dx8x>%vkHw?7#*Vcze`2T6P70VYpfL@QFUm1@>(A
zR4!w`a$8HksV?J;&1H!-4EpdO!-juOY#wV`|B;PrEa8Pe3wu``^dO{PHnx^!8j~>^
zUs*O-#0xNTs!XviO!h?Ip8Pt3xy}sD5%w+Mk<WH<ykgRYx4ntliZQ>iyX`=A$(+ag
zb0@`b9?^l|PxlzlHh;rfGWVoh8=1qGGZOm_wrGRso0zvpDnDRBx6aZ|dCuWV4_kEK
z(Y4`E{YQoU#0KoziocTL`YfJra^y!@ffl@t+;<}O(M3FKu*y}haTY)Gg%H{<ss%pN
zv$eMFIR2ZR?3q$Hi=Ql*DB?(=LlE!a{!*_t{BwcwX3?Wryp_e%T$h6m_P(1M#hah;
z$Zmd(&f!^n{J`<+dPy`e?vyo&+V>5=Q&m>H-(n6Ia*O&r#Yux8$84pdgMD~~eT+l)
z+bx~{j%S;vQ{iN~e~f#^PyFS`=Fg>&d7Q>Z&)qIX1uwU^V}gCZ@xVlVVa#R$Ul+Zc
zda{@Ty+O_8-m-u2D#jcwU+YD@(_?;IQjY?nY?Ezq2S@O?SCizw1ux;dC(f}OUDt$w
zz}5H6g`>Cv1HY-+yJg%f{*!d~Ych;$hQtdjkK@M1!kQh9tGMx(o$r>{G+^GK*Ehy%
z3NK7Hz9Pr9j!)x_`8m28Fm37D5xy{uJ02`{vs>E054U}P_aKr4>~{jl5w^2<{oX3R
zvwRFFOFBs1`lUK__SfFyteeBbgdd8PVvLB(B<@C}pgM#Kh#z1xTfl{bw4zfon2@ke
zV8;GqL?F<1?)Mp4#P11;H21QxAmajc;qA?8kl-_d*;Xy%U4MlH|0`fce8$?6iz;gH
zHfbV4@XjjEIQGOw;W#_e6s`By&QgVs$GtW7G_2z>pD%JzJUG$g*4@e&n<^Zd4J=t^
z|A)K3Ntya~jvLuNEN{#>uLA44vt<jL8BqV~#_aVTUUX)8lJ6a>3iQ`xH_Rz8Auq$1
z!UR15bmWvA^<kDWD8CNAHh+g1vD?I67Q8En+WpG>h$Ll@;2#nhwO~a;b4{)T6k(Kk
zVL9+fhZ2ZiOLB1LXGfn1U+=~biXd&<dxLf7m0+RN(`|-@6WMCWvI@TtLszfdJl|`o
z1jFEH-k`>fRA<%Fs#_#b!1>g!S3*kAwrlM8-}AgEh2i|qR7Po}a<Q$bZ;=4m-X0cH
z90EuzScP1DYCCG5p>=Lf6CgfP?6XjSAd>qOb~>C@4*B=3r^mA>LHi$vqvZ=i=*HO)
zwhyP}(d#M=5pQiJ(5EwFOt(c)l@p<)dRYOT=3nSCPF8~G-M0br6GInvA+w;H1mynF
z`|J@WWk~V+RqN^{fh2S@U;cMc8Abj~YaA<82HBif-2LaI5b2)i*T)8`$h~OZ<6(jd
zB%eL%@$>aI)PAT}ZjDSt_RhP%>fTg^9%k)BdAhPFIg3|wNQZ>FA2Ao-+v+WQj=a2^
zHzJ4j@r8=D>>?v-*KzvEe09+J+^YI)rvkcTosmPOQ4o`xugkYQ4fvWnZ6#Kxh)Va6
zerg*~k>k_vqd5zj;MK&L9j~v1;w$ctDd^D9>)RI5``oFp<HyVG(Jz%zh3F|t;5IsP
z@@$sv9HGIXyN3_`u~S9cEqBAlPdeJj%L`q;uLU>qtEAb#s-ef8aaKp7w9uOr?DDr;
zI>57*Yw72xj{4(WILo@V&}9CoCaGQzD0NRmw^ftSUILZZa#{<eOTEfyS~P(88x|IS
zrZkYqj@|qHo@gP<L$CFYm>a{X!!t%qYh*MN&bK#DQ42L?-?9=(!{F4D&zFC`(M0s3
z+Au+FIvQ)vm`nWy&^Qv&aZQPWx+nYRrzfcBlfPj6$6-@Y8D@5wF{YrX4A$c3ZWNS)
zS48%;nL+=-EB%s03Swk_dvl0c1C^QWr}rnDL!gagrqd@)lvUZzfibF~F5&S{*F-H~
zFi-Nt(`7Ph+PwIus*`}6oQqbtPg}qNLdCxMb`6y9c>mnx`*KLpy>7Pnx&>g`Vm?y)
zNvQ8Z%65kXlBnd;n~Bj(3z+b-FMD4>M9SxGZ~L_&h*nDNS|1#>0AG%xF!ishC}&X>
z|JlxlKGu3X*WP;fWXf-z;sIr(`%c{2wPg_}-F}?1qud-Iut7kkhk%ynFCPq^Z^J{&
z_YqyF=Ad{@XhEVw0qN0P_{$haFvl>XBdqt$;LNLQ%FgX_NG|@VRPnxL%vJWC<!2c)
zIJTtM$@_Ra@-XpbU>s%ux$o+nOc|zd@=lU+{kkObdB-l(=EVZSEbiRpET*8z7oACs
z7DGyx>aWyvu|e~}Ukjtr01>v2JCbySkwU^l{^3v#=(1-L7M{kyE@tiK1XTb<kz^t(
z{W)R9wf@YhITJYB7aw@yI~NKlD~wD0%Lz8uM$J5!On^asMW?uv6<K@n4}9d{f^|Nh
zmbcrCA?>8J<r6DL#FtTXj<$85x81?i#LNi38}`)(99YGFa_Jg#6mSBO-+5Fx$PlK@
zJid-H&EZAlpnNGyPRLsjOh~zJ0AAtNJMQ+5;EJUssaAs=z<j^t(Zqy4NIe_N)7R+1
zYuTQb5tBI}@n>kqc|Cnd&x$j#PprXz=^p+4*nk7{6ROXYT+##AteX*KzVEQEVJ?oR
zOdQ~>(Gk=6TNj4!ewEHF=)(?<zy0Pg#16&!6<#Ukx?pK{WW9Ip4|dneGtTJ`JIHbO
zJ@YTsfpq^<7fHV-Fw5yD{Qq%qKy5Bxxw5DZSnjg=S}8M&MQD?{EbKU7f_2p@BvBj8
zdi4~I`4=!VHT>54Qx0%rN8gn;wBSknRFp=?5_VYdjgOcOC*<@nB#B3AL5}r|R;b@9
z1~<Q3H8OEQifb$<ZIupe{?hf*v+LLm-?+bggIq8p_F(-)EFH@CE;sEt{ttWkf?PtI
z;)eGPv+g)I9gc++sk|9y0C|??<ENB(K~NF*FwUa^mu+T|oeC59@C|(@B=dprao<;~
zR2n2XQW<|9V}^CoNADOO0q{*<^pk3*!tcx6ACEp_f!PA4!-L}jaLA~i+~!Ax`XpER
z3@$d%?75(6`$rJ=TAz@&6QRPsR`;l-V0O@vX^`nz+2XSjcIqUefWYsNa-LZZu(3X0
z)TSx|zl-FUctR-9yib)tN#+92mS~}f5K-`Md`FTdQ{ckU`14izJfQm4dK~K$gAeK|
zS-bi*!AiP9p_7vjB4d0rQ;tbM_l)AzTS1yYUhcy>*7$*Ce&}+OpcG`Bc}A}g*94)C
zE9u8M1)-s?q>a=k4SN#DaH9?~?9EM?SW*=NISmjWZr=`1be^}^-Xg>Op}A?1gTnB6
z{>r&GKV>0BnlFbMPlk~hUVF7N5de6yA<ZifA$zX8P1`zO{BM8qIX*F9bBhm7G*kfQ
z9}@{)1!Q={s$igfMI20$0~$)A6`}WF@t5@hG9(76?^h#8!f<jFJ)w;N0dH7l*(@~S
zQH|dBp)M)VLY_OqxAIsw#55!HgC-pNF((yYxD7({TIIO^Q-OQm=zb066p$DqZ(P12
z1F2uj`abe)@$HLNdCF4?c<PV0{jrpTq{GWLS{I4%^yxVzJ*%y}c$~>C?IaHxr!#(8
zF_B>I`BK#9St?A5AHU>qLIKwG4;;B4qyfpQ)kaSmXy9a#aM?L&OE-_bQ_x2;$UE+J
z6~9M^iNk(g#$^O}7pM^=!bO2c={Axf6<ScMF+y>FuLS;apRb(V;?U?R_NiUn+EAl)
z#$0Af8AxM8stH_Fh!v9<?3U4mXBMowI_z8d*~YDVc0Uzj3VHChb9!KNdfqufKn*s0
zJ{|p$NCo3j)BW2Q^+BwThv>pWgdL`ArcD>9a6bCD%|w(T97=IsPut?J3H5g<!Hx>L
z2H||SSdC$*aMe;IO&#>o{w~`NQoy62aZv1v$yP6Y@m*Si1i=@Z8?ReX;I7MIs{%%V
zrMWPjiqj<6k>PRB@HZLKeD1{lsQ~a!IeSeqn*{Hz88n**Nbsl#q=I*uLIswq;&6@x
zlexiy5*b8Tubd6a{a^|rd{2jrsU)~NQ`z@?>wi2`6!{iCGq`z0ZFZzg9k2)6dgk{j
z!5Kr(;I?=(NX+m4d2)+OzcU+Fe!Zgru6x}hXC9eBYX%{?ftd(m>FTcAhGZd?<JbIh
zlNr>Hlic=Cs)E8BeD=T#DLAD0{MFzyGkEr`<Z|y56@Zr4pJ>aX@T|(<U+Fb7@c3Bs
z#?yOio|0znR^|&r<8B?zE>E*9f9ka(GbusXt>HAyOm2{NsSwhUG=pg-F(=&|MWEl4
z^kAQ2fmGX+mgHtrIG}gG`kj&jWbloC!^<}@vg>6=OCM9Xd!)+xK%E>kToK#5Jz@d-
zWM;P-!DtHk9S1@hDrJDFD8u>}bsW=<y;k$^IzV?opWjK2ZO~Pf`)sCh0K1b_cXn<I
z{|&~My%Xakq0`Ofo`72i=CkKW{F4L>2yO|^V~XMs(VOLZBB>I4Rzl5@t1<!q+h4xC
zm=b}uO@1%WzzY1YjnD0teq+EBmbe;+h2ZwM5#NmR3taD})vXpGV@Qus`mmQr5J-{Y
zycU0(aj(A7<u)55DDSsq(yQZxa!V_n*d5I{SC!oWCD{<d+GmYYtGL0&{FqZa4dKGq
z)KaA08G!skn3?<<2Ylx}^ZWVcBYaPZ$(f772GILAVC-rp8_0G4`Ex!p3OBQTPxU^m
z4|`sPtw;p3z_CuDnvIM{*sj-ghDkMgu*m8$o_>u9vLx@cr292vL9#b!FM0If7=v;5
z*Hs2k;PG&rA#`ATzfFAqoX`b>9W(Z|n*T7LnC{0f9lJ1nQq)TGI~_Q7D<~uE^E!s#
zH8>?!`W+MBHRwyF>A;~DsiRN6u43-j?&zwf{lu~y#@m=~YJ-7)@XlfS3KkKxpPu+-
z5UbHiT@&WfhCbn+CG>$MOnUyH@IU1dOgV9?#r&KWc%NLRUiz|##r_^#WJnmpgnsSr
z3t6N?!QGwA1-y&c<rzQD^4Uo&peH9WC6Eqj@8qpl;})>(FYSj+4Q4Qgb?J-Y(=^zr
zcRQtvvVh$Sv~7^!n8Rchsy1bVX~3G)`&mzT0ek3ZRZaXekGVSt8;7q@q3<5U{vPE8
zZ1b_jbz1i#CZ5gTb$V;>PxaQnP&~1)rK2a*=GQXjR3-P2S&#|>Y8(to-3yqcZu!SS
zjx~(i_YR3zK!Jr1`OPUoix@qpxTD2k1AESPCFz$A1-2h$_qwOMgn9kV$Pvf?VQeX~
z`wrgHgo``Gu3M`tW1H>^w+l#&AS?a)2Dyt2?D4H`{iZ7zAwc<GRwff{Xedb7i<05^
z&d{sw$*Y)5QQX%vA}r84E_iRqLjy|wvg(l5*D!W&mmQUlS>c8&YE&*G!O<rTtIoGK
zux*P&_v$0r!Elm)-i?6-9Z|<49YX$LGl710Pafrj%gZ|RpAM=+&g1)j{5S*n{>RtS
z8p#dy;cvM)UlW0G?M{LG03%2kyX_%A=LH{oSI;CJBJ?pm-|Z#K3@OGDO=8jlFw<~t
zWUW#S4EK*Ih@WGDOBupUPQik3V@!L8p^h3n%VRZq%g6@L1mJ?ls1WQ-NWN<IMitfq
z93Nt3?C{+!`_=b25jbZ1?UcK>Dh##`s3b>og1Zi@&wrR0I2dpa{T5UOp9oK$(FktX
zLrlJYNKpa~ommhoeXj!b>}7}l6!C(~0sqn!iWHa>J6G4=RDmM9WfyT~0qCf8<d!(K
z4TO91d(yXfmc5y5-)1KWJL|8>(>rCrj+FX^=d218>c`5mJr#oHT~7AYS~-YUYSzxk
zQh^<mGd_<&1cJ5X*R!@Oz!}NS3tTNK(5D_wc`~}?gL!9jvu`TGNoN{iU0xL~G&RpZ
ztrdp=hRb)yb(G-j#tr}EyQ+}<#L1sfDhUHt<@E_8$`F2jMK;Ju4ML|QMkaA-FtOTD
z(yLSjwRclAVLc+qi;0%`t#1cSYfh<{OI!ZW-nMG)t_~3zRdqa?a_~=irD1yz304L5
zL`d}{u&!SIaW_yNChgqV-X9{vjfvOQ3&+UND^gwN+pGW&!zGQU2o&HvTwV8oMu82n
z>gs6%0n(guwU)N#`=eq>fBaTXwhh-#6{aacV)PD{BU4mx*`u&_teOU!hG*&cKV?v-
z4VGxt&|v+>wCE>YEuh>}@fQtHh0_wu=HN<)_3(IY^AT;po0N_CyS92m*0G`Mt#tVP
z@6Lk?qzj#K_&~L~IxHB8S7K~haMxh%5_6qCxF5d!zR#Nk*^U0sME}u&HbC+2ZZU*W
z)zbR~ks4r_kmkztfDT*?d%m3eWem!nm4kkGkm1yO;ZvloK5Cr9{XTXMgQ4Y>fh9&w
zFe=$g6_%vI$ILI$yA}Wr>8Jg}y)@z5(ZQQLdnpi`ni8DdV+v9{asC$Jnt&%>;Zdt4
zgFxwUGs_(_V3=24PBYYmh+KoKxPv<6*{Yb{GBt-J@65eQ6=X2n6Z+u$Jry{j_Lo{y
zYYz8)Q+pJ@Xh2Gx$W^TYMc{II=I6?20hdnJ$MV#WKsd~?;FW?Lj3}On-Y07TzusQ=
zqPnO<eBPHG_v9pD$@J$6>lWX+&%dc1Zc+o;?bWC6BniR30diK*usK+Y)s)=iQ3ZmO
z%%%!(!sf5Okq>$1P!m-vx?rdb&7X{E((4<TQzUk&#Lyfrnsg0s93a5Xb}~)R<u4}N
zE{$2Xnn8Ne0kQnE3b3>AI(4n)DSkCI{Jw>q8T|WW_Qs%44qlNG*^fQ{i|1JfUvh3U
zg-JK5)X_)VA-;ziB9y;?cMI+-Ro!U{YsvAugDj<B=);LZZ<TeN;+f-gz8Rpeo>L@;
zTO71*i_AD5XF%tI8h6-i;VJdYO3^U82*flMOrsS>^u?Ye9(NgoTOSGE!%PH0Wb$7)
z_cRk)jI^E6`_BX-OtNZ%Jb8f>_HOB>KQr?G8|8Pn(ipCGGTN?fagKl#aqMpvGiu;7
zahLvR1Uti~EN{lKfXNYtABmC7h<I&Mg}i167hKBUUae(-h)X_d=~~RF`%jI52H6ni
z&wpikb!QbLQ63#t>|#Qfuk*gmIAH+YvvUewDf5^`vSY;PDJI0|c|E?ZTpx0EqYIVI
zC$XISA+CiCOej3{z_`Pb9!MEX-gmk&h>Z$AZ!FAXMA2H0M{n%ZgPzc=m=cz5jQgDZ
zE-On$WVTPhN;h8@rVI~k8}@vGjaBf*Ix{gM!IglCx(yxhU09B}%3XuA@kqXR?_@wn
z=%qi~JavG&iTiiieZ(6UPo+&hXF#!D?tyYG+R(w){DkMkcif0chPd9ufWku7IYV`{
z;ihaoq1^O0{#$;!b$E~g*$odZWS3}xU1;R)??c15^SZgrO9e)xUUyl|Syl_Sz;c(l
z&N$wrr0sDch7q-&3eiu?rGtV&O(98f8qdkv(N(m}h*qQaClIB!_Pb;MCbP&aUUmB!
z*))?0DZUrFC3uSlc=H9H(S<pjZ!?}v(v}$s>YNzXQKkW3>_$am#{#ZyCM!f%VL=HK
z`Jq{ls34g=AHQ0*gy(-aLaHRNqA#IZN-E}CeY|sydFAp79^Tu(%5KSqcFOM@U;at~
zf7Kh^-y_%X$Hxw*_g!H}I$3N!;(-(x9%Q-D7`1^%JZ?CkxW<86l4Ae+kB<Un>6fxE
zWdFl8%KHlhvbd0So%JSmSQ7|-4n1f8FrdNY<Y2NJ4+>=cnR)*q83G?vD9np6q4OI0
zX3jQz=<CUmi9uE}T#e6up6t$yjAR%*J9P!ni#D5+;m0(<%erSkt%e2hGluordkdn-
zryF|wog`q3Vr1wdvY`&%zOtwaA>^7Pbt}e}1P0A3AM<f`l-e;Y>Lek8T>780G=Efw
zNg_}8lTc1nbX4!e%pFlw(=V|i;H?g9Im?7Y4&3PCmAxx5cH)SwR95H{yE+_WA&sr>
z;YC`xqi5CRBvGMWVM}d25kwZYnJ}H_M+X+~)d@;UBk|k}O%z9jAAY~?ZcYlIeJgjU
zT87(^`o2VK(?diMQtymy&=Eos<{kTOl4a31jUTV)oQS}4(VP(dpD^mAZQJ{iK_1mU
z+Z(oVga{Q$duB%@MA5nG)uu%!1*B%aaD6qC2uo&XXEL6Mp@1<~|CmNaG_x3uvkVbo
z;c6+ZHCO^ox7^FFGg3mk=>dBlZ}pA$EKQ3Uj#4P2E_p?#LmAx@@}SGJlAycN@>-C?
zHk3Iu)*l<HiVhDCNVNVS!GfOo0jJY4NT@9R@~|oqU1{(=d45s@-lkj_R&bX?qF)B$
zb%)f^w&>2Qy2hHYd*N6oAxR#+D!1Vcy{mz)96wI`c8mg+9L#^>n-oxJ<y*0v`!o@j
zJQtGbLWMs$w8T~}0_t?h`CNaFg6?#+Uj1}}29_x-%a`{mq4x*#jCPn&ks`D@;6-%U
zG4dhH{=PEGZ4DKYouDGmFLnZSPHiCg>eh#?s-U;IO+$s@G&FL~M8_^u2Qn$jy857o
zbeL@))_2p8OwuD?Zeu;LpuP@!8bU<wYMN2r>~y5CT7{1=8GsCr?ptb_IudIzKOetF
zLsyXIe0`50Ty4|2<eW%C?fkzZ&_f#9w3$(CeQFHn-9AV+I%psQ|F^Z^?KEU<&l;$c
zhJkN(DSz6K2KrTJDsje&iuB0Jo5zX)!WcZ7<&DXx9M7?SPNAS0-aH4X5L3ANXtMmi
zBN>eg@4glNQUl2>aV}&jn?Y{yk29UJWVF-Fz0J9Wh&~ve@LqUo2Ci#2{)rW9ASuJn
zx}HoGbo!UO7D>e%j6Zex{rpQpT2gIa9-0tP@ynJM)&b^_v&jFS--J5a=c_qyKQ4!)
zq|1%6GR(o@LO_M<Ga@?9@|OJcv^28(ljXT9-5mZ00096043}p()_)YnJ@(#v?>(N!
z-oIltG>k$-Nk&N&Mbbb?Wrd_7m8}w@B=I{94b?xCQpjG}Gcx*nd#?M%eZJTE-k);{
zQ+yp(UDa@?&5y7Dm=Ie1<mR*su>oURn|pJU3I-TUkN30iB7O8Os+*n-Fnxcmc9W)z
zRITlCC1;qi#H%*rV~;hs^K6i6Ij4xtS(`(|(pJa_2A*vLXRTpJ{9>F!vpjB@yz}*L
z<v6K+-pe3@-x?Hie)w?7%VF_($KmG}K9O(EB(GK6vI1GdT(P~&(&)|hp(!K&EAf6+
zb(%rR3XG3*riOlzz><9Z_jle75%*<ZCW_t%2>MhUGVoOt<!e6_T6Ikkk^4064$}bc
zWiik_ViLwL2E2Dyz2*q5(0$b6;{>n^>YYtED1fUI+5b)!ED-Fx4asMcEa5?V${r(n
zKJ2;P*;_RChj^LlE3@~31^D;zzx#Zf3tgNQceKVX5>mUZa^JU@!=Rmtgkl~WcK!HC
zJ9c)F(AV))>7+9Uk~X3q&d!X94JAyT{ENgCr>0+|p&57w{<<B}M2~KJo{IQ-{vm$l
z+--0RGX?L=(%S=_|40R;iw~4fED(u*4Sc1lO`zjM;2wwizht_4!rzvY^Td;9N!|ez
z6A<{K)1{%mKn`fl_^lk9BgmS%A1zMC@aw0{au98X%+409^bDINUR>Sqj8bd_4sXBz
zyy-Yj-sH0Ubnfg7;b2^};TD4tTnXNmDlIZZzNk9A6nbZx_<Flk-Obk!(mzxLZ@bk)
z3Uz&PP-veb<V7b_N8TI2f5QfDJ2HQeQepJx7ImkH$3CXz!ukd<ozK+rU9_2u;bXM6
z**Qt*b=~<_l&cTHjdb^^+OJ60)PU1p&P@>ejl_Ho3+Y36zOVouDk4u5Usj%<A19t}
zyKG~gs0Yy;dlK^0i;2y(bu&u$$BFmqe?Cqy>w#m8bKGP-5)-q%ZvJ`W#9imzwEc0q
z;M;b?Jmf?p;c+AJTlBAS;&(-yNEC}M$ch}zHmqtUO0LHV+IUV7N8$zLB$8+_s^WOB
zrn8mU+QtxkUviQN6<AJG7pB3kU%J;PKK>xa9=8=T^G*?!5yrD=xm192eX_b&I|)s;
z8l}w2DdH3R1`*Ju!sRQma_YI=MBW*r{)ds%ME)lB9OAML{1fXFJ{;alEbv8I+U}nr
zvbT3H+C0$)7X6lc(%buqrnb53`A27o{+<rn(P1qReCGE`fI3K&?GySIRX9fs<(B1@
z$!bC0H-@!V`C%d~m&2)@VSx}|X$>0NqY3rP(=GLyzlr)9l_!w+hfwJ}Iwh8;0q!y{
z!}xZN5z!qR|7BY*5hq{VI!hf_hlVRtDFU}Ah_h4g8+WTO6N+I`R2>U-fQ8;n{>xJY
z+gE-4LmO9##whmRlId!YdGPG$XvZ{>U0b%nHs>Fa=Gj`xHmM31S1zT*ZkZ*xWFE5q
z6{CRO^SA1}PO2a!Cx0^Z#~i_M{9OruJUz&6;xBTmQGpD0i;t<77l_5_LdOg-M&PKN
zauQZm0pqQ?FP424iQGLoK8&qQAS!!?@9HgOC_eu(O(NhgQQH;}19dDA<#f4UOI#WD
z)(1j$)(W9)^3yfx8yiSr+MIii5}Y_8ultv2-5)(iafT8ntOO*Sc%ZHXN5tFe$W}UF
zku+2aF5?Ezv)_|CNktIy$bO-<nI1N-(Mf)I&I>-gdudI36hV1o)AqD(28hsK9Q<p`
z4^FG+F5F~QgiBtn45x21fxCvU&!JfX@R}LVN~u?X@E~j5*OyoT=ROMueGr0wT3b8q
zV-<itmVaAZ9vjF}n&N_*M8HTxa(A7J0<?<S)XPtEK+-LH9Ay#*I|B{|3o`|%n5z@F
zjNpd*hi($yA(G&{mFr!GfdYK@D}La5ix<90*CYz@%D@ZzotGsyDL_H&nL>S8e(+}b
z;C5zS7UJ`0wy(k!U|(88M$H=m$kw^mZxAC71r(EHtv3qr<NgDxTe=VgsO0SG*H8qW
zs?z>fW{Tjdqgvr|Q3SsIoaIcKSAwK{N$RgU72zV|%ztG?VxUp{C(xo(1-4G;=i62)
zfxiD%jlLNP@T@T!c-*Z9o87iEn7meoA&YtD%0Ov|MDsGriU!ooq$@dyse;n2ri#Py
zvhc99{nMJNHf%VOu=>1K4a%PW#2*uKpws-S=dcbHK9o@;yQ(zc^`N#w_dx|n{3`Ob
zaT5(%6wYbna%qD_oBUw*ydqd=K1zPQOBY(C|5~^DQ(=qQ?b?PUWjM0^(ZY2XJxDm#
zVIj6k16!V_)rU1z!I^(^$Zb7+IGZgv>e#3U$<HPezP(oi34wEl=>z(}5LPT5`OyG8
z{M&*(JvAUvwJl8F%K)MuWqUHO8G(qRpHpI+CX9LOdO9Q;fY$kc-TE%3Fun6I>oJ-(
z?8q1iQuQ~0iU!;E`>)JF$ZKrD$Xy3MQ#?#{d-Q?HEywb{ApxE`H<TA;sSxUQCaGyr
z4|ZONYhU~TP~|?5?;S#ghP*-F&kuE>OjGnv)sPh&nKasZF^vimyg4#zoHQ_4txB)&
zwFbSEs_@neRM5C_bNQ;3He~OR>TP>u1A9eyjlbAafzj@s%MnI(u-UfMcFEBe-sifr
zwASl@Sv=u!Ax#P1xY8u1s%>H73;LC&Xu~er!n>2wa!~K`*pXwz7FK3n-Yw<Vf_ksq
z2TY}6pwnV!5;SBB;9unB;-Uc$ukTEBKtAAoG~9Ne#uhks1ji2ftAW6~e;ZD^F@emW
z)fz{DEqo_@zpA*YfJ&_NVzB-Uaf**~d3DhSD4OHiV4wsS#|Llyc6mvf=8wBykFbHE
zh@Y$@+zN2o{^g~f@fmW`!bTr{TLZT3((js-g#$T7C!SO2a5vM4E2o<^yuQ5j+V+(c
zG%mWnmsw^+Yr09h2QRH4&D)Oo*EcaZeu!P`Ne(NDKXW;9nra2|`gH0Iio#IgeDivg
zDhD2IV^yfl1@Lt4UI?pP|3{aqMn;-A@zga3gBo#w+kqS-M>u(4_+!&_eIpmbhLTEi
zT>@encRJ*lu|bEZ0~f`b8w1Wp`|6lm!r$f4*^y}mprjLV9lN=)^810eOgk(<UGHRE
z!HzXz+0u!Z*@zogHt}RjhMR*q(}-qx^*k|@AAinwj0^Wm{rBunz8PfYzE_L>J4!s1
zUA_H1g$wDni7}ORn!;YOUYC7#9mJ-JxQ7%P7ao%`oIN0G3dTuow7tLY6E;g4e;GSC
zvH!=R2D%^<=!@@3wt3t_UQibMrgf7OMK@)4lB6*Rs*cm#occ)8#pT9@P)>Xr@X3Tt
z!Wfk6{J*Gg9V5?lZ>@F-<iy!Mr{djD8-V~N)OFlwhLqTK_hNh;Cnni)cGwLXg6hVp
z#}SkB<Wa`Ld8W6VsH>vW80lgNoI$%JK6@^aH4d9S=+=Ga4|HyQ+-LxVkS0T4@(TI>
zbV`p>0~da08Ek2^GXUW-w#?}Ce`K_<|DLbsxl#G|rE9m|=)>qHg^d+v6wG?7zTe^~
z56%rfbCcbs4^`zh{qlMA7`WZ|(hECYv=P^j-T6Zgd}*h=qL~=6>)f76|KGeAV%v?I
z59z_)u@0gC0+>*O{)4b~5g*#<K3SGx(1WuZf&R&V%y@B4(*DgUe%y1)yms}DE?k)T
zb35IV75O(uUY$N9fVsh1V~TdVaP&kB&)Hfw+=|>namNMmg?`j(*CY*|m+t-Jx|sv*
zrS?z)ZVKTI-@DF9cWI!iH~Qn<C?|Tp+h=jPT^JiGtr%{5(7-t*@{(I2H+tp8?iex=
z#rSf@u51Y!D0-%r>sa!lXb*WJ^obZ|<;avM4^YATrPySGF&{Sb3u<yZOQ6$VjmU*+
zD)f$g7I<&NkAsW~{gGT!81On-x$i0!u2&iSbKfU`V;oIN<|ESRf44QW_Y@W0DwbJh
zrU{~CL3-h<P+8pZIF#f#N`;u**DKX+LRixCS(!6N4iA+b`kNU_g)_$Y<lgCvU`A2V
zUY6VPxM9ubP+u$+oIdwkW)+Ddmne4q`k;XHFFt)dl((K=e5!r5G;w@oe!jt!SqaaC
zuJC?prNS58#}v2q{ru$^yOzRMWjrGzPFK6$Z(wSfu|lF08Yi2s{ko}wtsE0w3*j_i
zWsY99*)4+yS^^WACsZ-r?Y=OK(BOT-eDu}ZvdCbR=jCprj{Ldik1dbs!uSt`qmOUO
zVSuGTRb`q6hAO{Y@E6mAHtu?p9k=9hQJG8~Y1Kqm4+ojn^*QNm@vGA;P{86+oz#zv
z+W6WuwngrVKBR5mE$LIHh|Zevt?a@&DDttKhx*U}5Cv=kpDLl>Z|9MH|8(#x{kOP3
zXb9QegQC38mC;7?S@W_76|-6nv^tC#LGqo%u#=Bf@Ne~w*5FJkCj0X3f2C;xVSE>R
ztZu6!<*?P$t}-gli3X{Mo;C$D=I6E7!ql)es=o5aZ7Q-D@0;RkGXvV($IKI&>d4Z(
zxsu11ie7W~(-!qDK<n&5xwTj7*gASxA#+{_qXg%?FDF<6&9mZZiM|F_P`DbezSG7l
z^7;BPEd<CNeChc*QUlLtEi{bSY2h`0pNUP;0H9dA`Zz@cqq`NkK7?yv%BG0!3(Qtv
z=J=Q5bW8&iuCm!3JfMbm>=?9cPgntWnXM{|iUzJ&@Cu4*sNnlv-||N-Rv>7@p+{Gu
zj#c9I*^<qQm}36hQ%cYpy5Fo8aj&Z3AfM6dmc#P6dgP<<ikUS8w*M+Rr=o^|&kg?E
z<C8_3C#!dc?XBUc_Km|sTB<mh-QRFBTLS(6W7R%kZ4Hqw+x>3~tDp<L-hhL*2$mi3
z4WcMnL(jsO!->O6*dKC7IxtoMw;EpJb)UBar|q=E_wOm9$hOxH!g+YH(C$}t@)Ilg
zeZ8&@_bZ^|EiiVIV8@q9%4-#etiVxW!<2xyJbv8t<euv~M>?)~+|3uUf`zWt9Lq1V
zsL!n9vAvoOZ^<Z}T7C}jpZJ#oNmUvAy`&YeCH61bRIxv2+zX(jg;{G7B{5ozC==zH
zCw<bEJaQHZFf)>H)Q%8G0~61{&Vea1!tC&(njQgkY@8WU4x-q`UYINWdXyC0ap_|1
zVN0OKcV1!MCX7C$j;(I_5UKxrSLsTL1yCwBZK*vfh)KsSuFhBukR3{^!BQjUAU3KZ
zf2^J#R~+__UDWL-lQJKi9@j93Ui+UHH1zoJt6Y?;hfP1(@w@BGOsE-nT+onp&Edg+
zshxzk<p5c2MVmZTZwj|AAG;YO&xKCbLJgFKK{D&nhp;McQ}`m)%(-up9Xq;TSlzT8
zA-fVk94Xpw0&K!wRwpTJXsY6N{4>WG8Nu<Z+_}yem}Q4fJ>JQJ{P~7HO?s0gPq<BH
z@j72V<t+5i^fRH4S1W9EnI^5dZ?RoFV+6jJg8qp<WJJsBys>9!v*b-8uAOO}FaLxm
z_E8@&;EsUF$J*-i<nz;fvVBg5aNOY6!xQcFXmKq5^MB@l$m$fKO7WKlkRPT#7hz0~
zr2p<>-vdkJjqVE5Y(oPm{kk!T2`QMSrI)m^beZIQd85UnOdr_hRWCY*tk+k<9LG4<
z$nZwi3)?jHf%D`7=YS0bgPkH}I&J9?f2UN2l<L8o1;)7t>pYrgh~__*PQhmnP6fZv
z)q}q~OzuqWq@ZFqzd3b|9?Ngrj%|Fd3lYrcdtH(#Xj5eO-Q^%7zV@tS<+j%a-rf?O
zUxO43tj_8WnP);CH)2Gwg9g(MwmbX1=&|6xHg@|g7A*3(@+Lo&2Fu)6yTxYd(TG_=
zXv~WZ9a{@}OS#tdNy^907cyW_N>S1^;J`-n>57A;R0w0GqePux#N1x5333A$Mx;zx
za5_`Ltm-Ux-a#fj#DC#C-!UG1!m;nl{XaS|`*d+`{3J7;og8h|9puF^rmll(t~wxF
z;Io`j%7V2az2jYK{Ai`M`;r4{gZ{)X9SH_D+&7^Yrx-7Q7G^>lDMs4x@r(Bh;xs#c
zJ4mp|(+T08-5SN)YPBFr=|uvAG$*qBIQRMAHDN5<>^*&ayB7R?pcs-f#DxRqSEPHk
ziQ>Io*XQP@H6gf2V)8@>4+ahoIek|a$MSpmtno#fQ1;oyH1!`ZQka-MJ}XFKrDu7Z
z?omx>qblmlulv(UU$BVWAdL_Ior`gF(uA7azt=Ve3E<O%qpE_NWU(~&xkrY*CbZl9
znsjXx#DxG}=hkRBl(0PEC+e*UdFeXOF53#D*Gm)5girD~C!$sBo}mdB9pgrq+C`92
zA*t)NmLl?fvVChip$S)>QA(py#gM63RQ2c`C1gCfy+kWyy|2i!hy*_gEPA8$xLiR6
z6StI1yphy~-e}HVrCm~36<BVOU!{tZa&0l3E80+;D}F!cfDAe_)yNn)s3T|K3@a}i
z72;8j{%NBu+PkUj=@{2QIr%R>Y>%kGbAJCgWkL?2efew9B`rL#eIw)6sP#EXCeE5m
zD&P>UQ*~HW2c4y#{Qb{g7qa|I8!DX@@z?h=K~<Zm7+^xz(|=qK#6#xhz9y}6`i-Kq
z$Sf5<=}It+7wZFiS<Is7du62UeWe+Eo`%+3e!R<T1`vC!V`^zl1sgx_qAbtR&@ZmC
z=+to|m<To5x}>Uxl2-M*Tg`QG?)><UVHOkM5+8MXPN?I)C9mV*J9Y8aQ<>7ZGE*3e
zW#zUt)4-(f-FyKCx@cjZJm9_G9J24Ts@Vu=;@i9T{OH<gSp2fkJxX*v59c$@u8`~e
zRw;X^Vnf3phxIh=UJ~#}wQi);SPRLUTbuiXsVF`}J6>J_@P>mw!1II_CWNpC_%&#w
z7cq3mX|EO3gr4(JIH`r-ZvSiS+^UHWN*oG=SF9j*tjh6)nHG9W%0|^*Qp4-Ck0cRg
z4QG-JJ_pxn;+B0jjW;ut@km0>v-}^{Kzdc&_)XEoK%)n16A22qw6jcbO2`JvGtG3j
zaBE<ru2f-8ye!J@S2DOmwSiB;XIisI)UZQ)C$-8-0z)x*xJAPTra$NFd1R|1oi^D&
z_icUu%F>e_X14*>e7d$49Tm*E<o8Tvj2G)OMs;~wtl_6n@|m<!CG=>V*|Vt3hL;t%
zzP7|!gZzWBy+5QCar8q-$F~v+vSwC1s8qKGhrH9W)I@o_SFMtwLoSdypDN1RUt7Vq
zJ8v{3S7lMNymcmIaG1RE_p9N!n-$!M&vF=^lt%Vw%bo<fW-{`n<=4?cfcAnd(svmo
z@sv!4fl>hy5fO?FCdU9Kj`E8tS%~55qT@Q#YVCx9tVm)W1)#L&w*CBFVRX4Gm0n}j
zPecu+ClARIz<Ye@T$+I(`p(F`*DD?-E}rIW5VWy`U8>c5@0R$`HF$=j%5ap>Je+c5
zD9{1|Xu3|*ojiC`M)e+x!x-`Gav|UHb#vI*@%%uODknPo`_rS{7$NI@EGqSr89a|`
zy0X^9if{8?OdawWB|3L|>@8z8gHMIzAZH5`3U!)YJ=8ry`0NZf(zQ1Q_ss((70L|g
z6EMsyJ~c!f67e|DooWIbmiDSjzNbU_m@jW7pAHaP+S786b*<k`$%UFn{a4BVgiG!{
zb?qaXBefF?bd90u%+s01x+U`d2NNC9zHY*mFZ#B6f)PBX9OW@dTp%mN7s4kyItZ0^
z3Ntxu2)9`>Nx3((q&ttgoG*JDaj@k9m%<i9_~3Hl-9_(d(qI3;PS?F(2&<Ta3du(X
zz<m2$v|H{38O|CPdf?+H;_NP=ln5yU5co2DLrH3s6riuI{=BJy2)`v0$C#uKGCM|}
zQe}rp^#kb|&4-^6-6l=yH|X?1Ly&IrOV$9{D3RVzaVR9#jD8#PoX~^*dXq_(*gmo<
zROCo#%w=-z`J>-9v$`N;a8hT-n;vpY!+=W#cLn*4*Y%P}s4keE+${UptDCG!NZezj
zT~GQk#C8YG(ZJpD&}+%lzsOdu%x)?F29i2+r%&}H4J3o^PjJ8JAeZ=_ZZJLnf$SPG
zb=PH}fhp6X&cum!GRBuKli@`ZX;rdz{b&jmge$E1)2{y{_2}=-ZGQTN<eZG#)g(;?
zAG&;<k3v65emZ5BJLTU<^Q?z#VLmzl#(o}V!#_xtpLU;GAN?TJ?Q^#2CTT;<mF84=
zwx8trmDa59Z#zhz@3nWI)@gyzSfQeA*iX{AiqE}zv5Rcbc&64ns|n3!yA58*x05H#
z+Yj$9>LG2eDAOnDXhO!?smfKs4pOh~$bkn3`^ezIhZ}Dk(E#5r$u}1_b&^fhes@hb
z4Uobv+8QHI)WO6kGo7vO7x|i#4^=k}k;isC<ljfH4y?(oiq}oLNu$C`F`dC9<W_I(
zcSFu<aKlF`*Tt}h3_g4^ng8V|SuR&v?O&`4b#KH(d0l(SiTfK1`ZrFHOx|}a8|hVH
zfOGBq)ti0f`{kH~&~sDd#>=00=zUaRmSyu{b>;!`&RU^^FvASVAK+X@d7}(>N9wt*
zWet)Ufom<*g|p;D%tMYB+R8AlR^TSNXP8v0d$e{bbe;^OeKfJiR)U?2pUW>g{U-e#
zJVX@_{UI3=Lv}}UD*-h*FiijC7@2wA$0Rvpi9B*wrsiy%A}CByG<Z8F$iIa=S=;|C
zufNY-@%<D<aJuHd;X64+PQ)cvMO<4W>q;*jf>;F*SeQ>&)t@0vO*@m@pVJ|g6P^RB
z0*u3s{mcK&l2=oz5_NadW5Zq7%B*yGcxm8KV{mnzyq{>d*<OedU(qqf-&B+b*@Os+
z*2O<$j{s9ZtiRo}tW-v3Eb;fr%Bq!vgE>*>%F33=;o?)*`;}Qy<#Xhau)7?rW}o)s
z=3OBlcE|rrk737LVc49vDhp{<OpK~!YvhZT@v=a1E?jI5`Lj|Y3tiqKsx|955W4@F
zU*#VjeD5u>k!!Ck+&tp7m)?gS75wa-B(Lz{=;boXoRln>96f%;QIQef8`Wvv-6nvW
zj$V>bYLbDqFfPkZL1t_e?bX;|EQIN$cHX*YWT51`)i!fuRvZZ|?Gf84g7hVK9kuLb
zK;+S{ExXg%aiTE#-<AR~Jfs}*QqW{wUsc0$T7wH`K8LFbQ6-W6PUO8AM;X{f$1^L!
zz>D_}8PU=grLpT`fCk4687N1t@SLlBNPQE#WKWSpo4tmDtX#67$3Nx2Vcp;E8Y!^{
z#q!9!d-lCXh%6lMp|<?f5yG^FBata#iZ~QROJ!Y>1^4owNjC@)JjOPY;OV1`2gDe<
zpH;}gjF14=jWc4nC}!^;bW9a@F$OJ!-Ia%KQxIaDl)$q2`4e}F)X{lj?{HMJ0(6y5
zZ4pb8M&pt{89jeAF(}-QD!Ek&PWc7+{H>J5lJr9=7x(C(es|;+e@PXnNzC4uVkD0n
z-zH!DF-%3pwzpMpwyA+!l=)Rkivn6T8?t_q)5U>gj?K=a8gMzHELAgF3B7-vI<w@c
zhcOM~yPmIU!|!bidn_$faDSED!MB0>DE~m!_t-`nT-T=WIzX?6eHnp#w0#B``s$!7
zmxCTGRP$8lzEQ{PapDS+iiW6lYPx$g-2mv@2;0kNG||FuWL7oT5N8!L-S+SpukYcG
zn$eQlcs~2`KJG?CJgs^7+s?<P@Jz1Jk0(_J??p^<$0Qme^K9p_(J%{00u#p{epHli
zU+6vc%K$z1hcCB_0VwxYhOKl`v5%~bxK^u=4O`n(l7g&Y!-mlRPO8x`BGFZ`NktF0
zj?B3^<XOXN`=#IjYZ@NzoBilRrJ*CcNS#=@4b;(jBnm3gQ1=-#kNh_+tohJA;uLQS
z;!IlpSDUDK^ORfr(2y$riA_?nm$QQw)4{L98>l#)x>{`gRRO;~?|!EkWe5IR+ppgj
z)4{%f>gO`bq;UL$ecjMCJ2;}D8%R29VSmjB+SP4>*e(`Hd2`YZ+F{QlS$hpUl{WwA
zaxM$n>#?x6>)64?vRAfS`PJ~@ek*s|vS~8;{;TOSv;||iN~Jq>%2>P_?_Jj2K|H$B
zYw*j+7QPn<|CIJp#7T$pX3^8j#LtX^MV8w(AaB<jbM2oT-idqsd-GE!xIi&JXS!w$
z%H_VN-F;+mqM8iwe#-$1rmW<n-Rt!MmFnmPaopv?>L?`63+bs>*+y%vU`aAhPw>4k
zW*Brw`{naNM&kSHt#Vf2t|f83v6mk`gTlhe0)BwTi;?On0CTX_rQ!-V%06jHeP|&7
z7ix-vsu=+WrYip&SYSaL7WUcDcmZgQ4T{{(L_p{ph4P#^3jP{1N*%l*0L^{xdLsBN
zp{c0BZGwG?Y>`rJ#&vz<hko@1O$+dEpSAcHGeO1_?|;eeEdUQ{s`_rannTVtX1Rwy
ze~>*|nWqc11>o&?*ALYsGZ5Ut7ZIHQgxELsQMqY_A5x5wC*-p!==L9f)jZQpbpQM>
zGq0H+{zTj~+a+lV(ZOPmbF;^ZMHyzxvyb>83cmZ!gqnb7UOv5a^c*o=znR%Tj~}ev
zg7zJ4F$RA7@B+4iCE|Yo0096043~Exm2VWsZP~K--q*P9wZ;8f6(N<DQd$xXvrq{M
zp-?K75gAPhQ5p9o(V$`Wvt^`d@AbR?o<H9AoaZ^u`JB&)R^sxed?6Gvy)n@>Gr`!Y
z=A-IcS7?tuC9Ccrgisq(-Invv80_V}7U@pRX#O*5%ReTB-O?vn{1lAgb}jnJ7JF7$
z=zR-JFct=h)JffxVT6?z_k0Re*zqaqDr@R3VYJD8%VSqI!t3D!n<Ia4VD57ZSGAxB
z9t-X0zFc4k&&8Jf>C`o75T>^V+!w)%Lmm&>V2A}<^NJK2Hxz<4igLP$!eh^?ik1Hi
z(DmCtdQU$O<eJrj--?Mr!)|k<dZ+=SEY?<6U*tpVQJHO%vtm$V-7X)eXaK9;#+W*i
z03JjQ<b9bGhl<N|jPDmJnyC+imQM<T;;Zuh7Plk@B4!Db7%C1mJP)?pycR+`%|8XN
zlfpe2lhtkOsYtw|ZkKH$greZ~(&Wq12r8^A+Q3hR<|H5ICv9P9c*{5qjLSgRQ{T0q
zmx5~6U4M4yh~U&RQ@nMM9Q35)WK7B_=zG-aoMA2s8<kk?`&<gR(wu$%aTW!GLSY<j
zyTo9gsrou~NC6PdQ60KYK~VIb=Zlxbq5WSw=})5~q931hY`;dq?uK>MU*AZ;!anYL
zb+r;sTZS&gWK!^zuvKdllER<MY`=!+%E%UP9pPjAcj44vs8N74&U~+rt*BE$pcQ9a
z{4fQAZ}Xm156Yl<#yFMKq6+DV-Bs$!RNN-jqTN#tw=Q<=iXBqJDQ)>@to~H+ZB~zQ
zos$R4*Uec`v+CGodTfhM3l&v%Wm?2X1#tDf3y|l~gzMf;^{WmBXexdvzj#j(*RG7K
z-sROo3GE19TdM(-nV5Flhbm!Yj+u0horE#@@9GCn8{$P~-tWTg${<U8;Yj&K!muWH
zmV&ksUTU|ryeF$bJB~#`=7l!y9p?A-pD}`sz!sj0HL4iZ+}kzat^>Y|tuA~m#(4Lx
zR@<gS6&DWd2u$hLK~d<w;l3IZ{5meM=T(*(ii-?+d31E~Jhph4g)qg$wetH~d(_dn
zGWDs>P8Ym757YAM%~06bTkprB0qgUNYDbiGaWI6gr_ySUik;p^_FdP2>{~yw5?u$=
zk>AXP2iBoKK<&@~mnIrGnEN+N=^#yM@p|ZQ3v9kMOxbi$6A2^QG9?DunEjgMAu?i#
zL))p;leaaYry<E)wU&es_a8CYO*9Bx<~}|AL=!e%d%7-_Y2v^q3%0zizy;Pvugvdi
z;(XxHwq#um3`f$7&OHV44X)<19M;6Cu*6#T2sQLx@yl$Q1!mU!T>8z)_`YODRe8Az
zIM$RVZX#PjP2+%5RjdX^jIRsv|5AeEcAuBnVFlKQ{#$K-sw3+-v&uyYMU;KNGD1IQ
z1(K@HTSXmpto(KfugZ~wkMr5yvp!bvZ|$Vq-=&87ANO5at)&rmBc{D@uN6)XOOT>`
zRq>ttLsm{&0)H-9++(I$;cDECz>*LZu&yyW?_w&7EB7n8w~AN+RcyryA<E!*g!DDJ
zLNHO^H<R51P`(5@L<T5f?>parA_oQGd1qnWWF}xwH2pI<p@<T97Kh1xUhHVl_fdBP
zUO2n`)%8|DjQfpg<xDOpq@Ea=;|ER@u1F<y%3<{2pP7J34xIHrz4O}z8hnj}xJ#yG
zkkW6f-rvjy-noI!+g+CMFOBNmtuBohVYAkssI1_U<ofGwWQhw3<x8xAlK3WB^=zD-
z1up;fYYkqtKq>RMqD7B5I(14i1udBIA?Gn$(vNk}9<w$nIVy(!BEGTM1}4N*U)4Kp
zwGMlOy2sttilWV|Hu~8ECfrWwaq&(!hgDXW=%r3!EL)9T;;v`H$I*u!JWFP{RdJ|?
zqfQ9&4$V_1<(Tn+HXQxc-3(zWg)UpZti@=i^Zc58X7o+wkcHovLR~Q7d;Gj0@;Xm{
zaCKt=)ijAsNZS-I9~g-~h9Gt-tN8FS>iSS>rM8-C0yb~%4o-Ukls~gp71d$G&7)ry
znYc}`t5u}<<pzFmf8nlmvtx&a&EziQ3&x;mKMWfW<%7oaJ*AZ)9C%r@|4r4L5!NJI
ze{|~Og;C~E%EUWP><_48FFtJq<BkKWSAuvk%6@&ti^2uG*#P}{L!>>lUw_Yp7xT&?
z+o+|Cd4FOweRsGaa(EU#7OC@MpV9M6W3Ie7+w%Og3$Gzaw+Lp66)(uz)P*tuegr!&
zd0M3#K;!%{`Rheqw2rCSagGRJ$?&L(JJkROikf@k|M4Pj%D?2>s30O~ryY7eQK9zL
z*C8*Q4`G)+CLLW`3w~yQCN5tpSe2YTpP2H4%Tb`cT}l|Tq5Pk;#i{sq^K|ejNdauK
z|5bL_Q3Phmk%oD-6jZh@n=%UuqP3#ptLrsUe3Z>R*%wT~x{}mO9eIM7`%h4B{4aw?
z8(6J(8c@)CNUSJ&%UXO7ofr-EkU-e%{?*i3eN0<CQ1lQKf|HGrl>Bc=Sd<-$+W1Bv
z7qs4&G!F>j*_<iU$W>{$TWZ+Ir|QGt>FBUqgD~v>jATD{l*JKm8=cY9`p7rFl@<6w
z1b4?wPt2&ugLTSiUyg@9nnY+(X+5H7QgLdTi&wzK!jR4DcjzPC_QFnZiDSDacS80x
zMXcAi-aNNUADU%<_Y^xwz(s0*?tHEi=6I62=8owjr+tU2{C!De+}><1@m3knxBT+U
zjMIl;z@yiGLee-!qVwGOrvm;y1)W_L`f%c{uiKa^gL8Yy;ujUvkh|?yei{=6<w5ly
z{-eraX|2_S$}V*zwU5z$?xNsKqssaA0eRT`6}Mx%rhzzeIcq^31p*2meYBbt@SscY
z74cpZ;e$l9*(NGp{Rr^fR-p)G%g5(g7PRnB;3a>~4=PL^3CrGptb~r|&KLb;w9)tO
z)!*DS0~p(=lRGk$(If1Brd(48{e3^f&UqW+RC7W&<+=*&lD%XLBy~|3@JqeI#Ryka
z{F!%OQpHVYw``vQT^Q9%&#E~aqu}b5t0(=`u;=gaxyti;$Z-AM8|7gFskm@ep>68;
zF#Mc5wpR}uH^neTMVX?xKC$4mss>ygvajeekufhQ9+dyW48mL|dM*uUV5dQll-hrK
z$a$-gwCSHY5;xSP2*zqc>u`k9x5Ik4o04(zt-1wxdjo@b__d%bnIk2ar3=OPlSi`L
zED?Fk=WL6w7WNO0wD(<Q)aBVxxf(`;kNy+$b5FEj-L~OF3Pl^viCXhf>lwV*>hz1J
zN(+A3Q(mSiS{P3-EPP!B@K-c=6Zf@{b0RT-iLQY@=1g7|RV$R-KB`Q0*TP1ty>IUk
zYWUgI7&d>}3KK^-_<VkAf;lB=%JYE=Y!l_!m5Z&Q5jwlQ*+mlpt@V!-qm^)7MC8cS
zH!G-q&vKVY)<CDYc_8001<dtd5%@A<h0$k*@}q_7Xt23<p|(;6w(~aPKL@NZn}EE=
z7i!?Rziq4OumsAdB}&8_tS}s&=bM(RiUHT29z}Oi{HQKJpL?Idqj*xXSF{QqUdv=j
z))j&q=a+1W6IPJe=dUljPZ>_{GZi9g_;GxVkR}_+3b|qvD)tm5bgvu>-20CU&2}5D
z`g?(;<=aA&oQep`9UmO(V#m)@zLzJj0N0o+1Lo`G@%y#tz`-aMglt@-m>2_=@w*c=
zl4ZffoZ7webd~li!)tHlYZ_XPS(_aSl!nok;;sF$i?qPxGx5o+G_b$*QZoyZgx0w)
z#rIFo(YAfr+91El5_=k+SIplO$N7vO#m8J{Xq@ab3sToDaQTAg!^Tcg<V71Ler1}b
zEjc?zzVBLx_X-J(Beo(qoxGB;x_63}pdM!~sksheq0>GEO+u*OTXVzGX^NIo<Hk}H
zY>qY7o5&qeYq2wuyUgj;6fO1ACsB?DGnhI@oXK?)gqQoJMBjvI+9svz!~2!ZFn#pl
zyRW(YSW&7zu>HjhEmmh>^WQL2tUJ9mIp7;F)|z+>^s3I$vYv7Iz3VZ-+NQh791c9-
zaBti@*fdXj>Sr3dVr>GsBV4bIX1T!RbtbK|c#*cze$)Gu$HqwM8(GZnT7wh*yyZ7)
zmT6yX>k1PjjBzXdch%ZiP8{4GR5ZG<N^`I)F&n;Ygckz=&aO6`C@5-G-k`&br^|n}
zvsVqVv3f%Kauo+E{vK=H?91S?jAHDY5JQ+g+5Cv#lLKKEtNKlKtoV1*`kBj|0g_+d
z8A>wdz>yl#`%Hay@QX|CaXo8*-Jaez`1LtZSy3y%S;T>ye>;MDSPYQ%{bWR!3kTM{
zwN<LIUjs=_i!ruDDk8X!yvw`6ft0T^>qi#2U?}(N(V#pP3Z0jmd{;PdHB!E`zn%vP
zxB5?Jzo6jg)032xI8K;4$}74T^MO!o7Ci1k0nV2{uQFYO$Tp87>j?p5CJk1EjOoLB
z$9T~w4;T2CJ%@Vc1o43C7bI|#G3U#6F9$MngWquQYK*E7_SuVm2(!}1XWM&I!%{rR
zQ}iBdJ}QjK>HLoxlVr@j%hpuc&5Pt$@m-gyMX*ZMLil4clDam@I#%*wOs$>wkbxLh
zJ6*(ieaQItdHvkWjRGi<lj6{>5l2*fxr{f34A0wk<7dMJaq_~Y!%4>_5w@DzyM={}
zG>3t=y(iY<-;SIw@`loQcsu%nUYQ=&ye!rB4-kU&+}~OwSy?>m8RPZ{(}T+A$agA9
z!YJ5y(O_6r9@kj!7a!WI2mV{Edw$f4AR_hB<zM*<2%i{#Q@l+NMdFrHX+mQ7KJV>*
zh2cSkCgt`LNA;i{_lv|8%E)hqBRiH=88MLq7a!i%!#=yAs=7r9Jb1k2s(`%;TulxX
zH2!1cb9BjEGgS)TvmIK>(^Qcc#8D?<$T$b-IdS#PGSDiXtU9)&28-FOmaZ5wylSlG
zOcmt7mXpH1_J{^!&V|gEjFS-(JC!WUu7F}uPx-VaO$M)X&fW{uN0`8!_H=edSf-hY
zRntfqoL=II6rv!o>3yZPpc1H(M|bz-YQw<RLw&h{f}7-XvG0|XAuHqbd2~q!7fkN(
zJLFQali7{<WTt{Ij-hIy=6a|jD<v>7__a`4cdE~o;X4XnhTTbIyt%1t)LCc<-E=(Y
zJFbQ^TI8~TEHdt0i5NQl-3T?0WPkoWuMQ6tL)*rAGIYxKrHkmA;ODk&TTex5Kr3D>
z+D4bLPmBt@^-MHH`E9$Mlt4|WttnvEFxAJ|XAL!hOy;<~>vDdYqZWePx#@MH`tY|W
z+V6#|!$*T~p-DCp)-m0Z9wW$bx-XU9F>Zkqeew>)H%SQXjOPt8C1aI8Zj5z54gYNn
z99mc;Au){_Zpy3&*9s96n>~Omx8=DBJ#Davx<qa_&_R5M|2PN3Up7}g;L>Nr$2yM7
z4@!`*&CXv*Gt3Gnc#Au@=SYaw(SKdf;FL(oP~ERTR?u{gs3zh_cr5Rc^?RKf<}NlU
zRlph=c6<u4Kegada%i<MR~i4YM}GGVwnp(M%HLxWS}-Wcd}Aq~2-!)pjZlg;ehw=Q
zF3D)Zx52S#NKzJ22a1xFZdk)Dm4(8#!r;5Rl+)II60o)rs9ij7jWsRGqN_Cw?`q5I
z{=+7Mi8C)minmzf{Iq9eX@DwHYuhUbIYInLPfM&2wnoXD0<?&$;M1FDH@LjH@OZMP
zEVJGU8>A0c#+ND~ck9?)p%hkZ@Rs`a+SdyIn660d-k}J3znhV?_cE>d(%;h(LRP3h
zu2EAkFOTH)q!OH)rX`8nweKhZr0&U_-{md~J`?Rfl|KJyYTqPhGd3_dwZ&h8r&kIc
zsvW$vFN3t56MC`EbQ+AJnm5=-Nq}-trDh?flh&F<=RY@UiAtgU%EK;VNLRTdz}ong
zrW+i*@=VbZ)%>5UOgD(&S%Lb~Ujg+r4}+>t*l7X9tFy1%yo8Y4x7|~HTQ!Zn^rq<A
z<aH=@WK-BxB8b<n2TI(830jc9Lg?eq=IHBgF6(pU2f@7S-$Gdp&CD|0!%f&6x;48m
zL|@~9*)8$v+dl7T8@?SAFyCtiyESLzmSnlm6*%Yj&hiWG$aG?o<0DhJW#%1ZVR)VY
zf!>sZdabl+-8CJd%O?1muw=W+%Z^4K(b$zw9khY$w*I{BjClD5HT|Qk2)>_Zu_mOC
zrb%wLeo|zN*m=vi_9bSdp1-z9y<&iNGQ*tnh=?&B?HtY8`ko2f%$%7cRe#Wmsd3^@
zLX9AFCUHI}X_fZ8M&?@m(_b{-vZmsFLxwma9O*jrYnhg{t1X;!%RgGj1N{x|u7;?2
z;W>Zc&Jyhr-zvKx=QvH^CFyH?y#Y2SUS1MTU8Ef^`BS7gIYB#WT_M<HX@JV{VZNd6
z1sdDQAp!e;Q#4Lqa+36GDxPpDMqcz>pz()1^%-24p;at-=I=D6;`Cpm>j!ieXl3Cg
zF{{$^v{M6y7egv2SRUOx|6F&0=9{)~)olABZCg*bd9V!yng0&gA3VB1OAdaLQub(>
z_UDm5^X5<b=s!%g7jIplrCg&mM+-8+)>!w@@?L#>m<%|hczTiMR`Yzry?x9`A=SQ!
z870G2-!Aa1{Ss|;HO72j4GZ@CiBFroL`M1N6Njpu8U1>f)A5ld8^Z71d9_!8j3}A%
zc2e{Tjk9*2dUhK-W}3N$?=tr2f4zRQabv5rlUI}nQm=3#+q}N-ON}mq6C5a63?ClT
zZmE_y%7yZ3ujPk=x=7mII;K>_jI&V!OhcYLDD>|A9d}d*RSs`9@w{R|Vuq&SViF$=
zt-MI%_1aMI%RSQ9&5A#}o>X1`DS$*{tutpBd+|#5-|pi|?AT)TYh#ib!v{M)5*_&@
ztRXRFRmF0kef~|eN}3Q}+>KmX)gYnEdeaV7;WgMRafoG7S_FdL`&$-Dwcr}ESA<;4
z1<HeT!Qcvp59XfSF1k$%zVe1YA7=1?6>a=x;o{)#-I4umMHBaK#^t8u@<Bo)@$c(n
zlGxew@R3-BCh~N~DT-YJP~}|M=y_Heh8!7RrxG;L{mf`XlhRsP=Bq{pm&wANOMdfg
zfF@=hiL2K73t>LIf&NcG0U8-y!@P_+-W(sAey3L$>8F&>vg}br(Mc(%J4u?T{m!|2
z(OVSBJO5~JuT(<+lN*$%Mn*oYrDSh0akSd-E!7#RK(x8d&qz-TdShEW$paEtoX;-0
zTBnLenR;s8Yb^+U+QeqjB!vwMiUVvu>Tpb26m<+Dfh$edX?Z{fb(0aJM-(-YAvf(S
zbVM6AE4i-P67ukEVq!}e(!yMu?Eoc72X9sn<TsQmK+3(m^Zs*f*mgWPw!EZ^0r|Hf
z6Jv}$+&{3i|GX}CeZ1*iy^D+$SBIv%Cd&Bqb;l!lMnAp2e%I^jZhaJ+#m~&gslYSz
z!IJt68SmzEh#!#@q|&%+3<p(lu+jBz`YU}bBuN~sX{90|`xloBO&zYg#kiLaP#}5Y
z7)Qz$Lj)ZTC-L9Zz%kR-qLCpAY_I4K{Woa@8On{Ig+5JqO1^e3FsC9j;qy#hnF(fd
zoy)_;N%(2bAOCAN6(XxY1vcL>L({>VvASe!R8FnzJ!L|L**?y}jgjl{&2ZmYX+<3<
zU+gE_e5K&*l8p5MKTEhP@pcFI>0rpVvoAxD0<NPACmw17Mkyu2IHHT_?rfzBEq(O0
zCP)nMSRuq-QFk<77uhzay<-OTp!7afbz8d?`l-L#%<nVeAGYOsvFX60p;P*Elr^KT
z3rDhCby5C(Mc(s^Cc3zupCtHg@I5y&<wb=K#&=DPKJik+_2bhCPyB2UD=XEg*{hAN
zvr>&_qe=*K_VhjT#0I@8-!o%tNT56(>)*{K5Bkm<B0C5hSYP?m_285iJo^mhXW}F<
z74}0qxX=a;<ZQLsF%4LjTx=0a62e~Qm1kiQHn3Tkx%+gBIv%YErgop?2K6p8bB~D)
zzGRjeilnO|VIPfDtjvr}bon&9E^CAw3t#B&Rz}TA?53Hk6SR+d4i+kY)~J&I-cTT`
zgrs(#>Wv|7w6En^!CRKB@ZBTWy790AI(%F<i%vJuTO~<SJrP!r<L|3o2$02}Q<ptd
zlYi2S#WNz<*{$&4!X5nuTPakXXcBh#IzeY6g{?J?1^TjYtWa#lF&Wb~%d0+1Z<NXR
z*5w0U7#<IQa9RX0^Id$wVheQiw9Bh%(U9@ZNnN>jEw~3}+E|7c>EXx!?9{fh#1V-F
zZIxwyq<HHEZ)sVg*Ej?}*7C4`ilg<3mIvH8(ANFxhWIjFK+$u^J!Ty=IbLm8tYmnN
z=;7P>-AnYmFMaw&rRJ#75AjJhW<}~!QAncW5`E-;?z;ZJW{B#|S34@e1VQ!)1Lup2
zbTRv-&RA_ToGx(BR6M^xvt0MukbY-@zJcTMXET3ObZ?XxJ$rVVc7GFP@A<rWda}$_
zxtJ;w=-baZEpm_3j6X2nsdzC*&rq8WWLawhN&l6)cc#B+v$Or>f-ST31J!Jg?T;Cw
zVMknPm)!vE#%lMHEcYyZKYz_0)_Nlp=q#uAT6EBA8(K>!`)25u8a7(=X&Pa1gNVD+
z(@!*WyJD7)Ez@-W&^@p2BpYH%<N3w()KZ#6#8Vw6ziE1yPm}!2vH?UczS|$Nnop-4
zE9@CEn5OeyjV-7=X#fTBy8$m^-_j2#d-=61PSdA9bfml)pkk&`An{PcS9-gla&no;
zG+pDaKUd#gD%>5P>G7F;qvtgGQB^{x>9_A?hmHM5LGae+4zAig^n%s&mV3j~^v3v>
zg*G<|?z`Pjf8E<p_f&Y9|1xZbE`0Im&5&MwP}}?8+>IWjM=-OSO4-cPn<>(AHAnSf
zzelGfUF-+lbj0h+Q-e7=>mJo_=?wp>N-K}gx$~2LMO39Y-*ujT_~MUa%aLTvs9wox
zl=(xi@Hu39D`$azO!;nCizpeDuT_k1=KZ5vboWLDs4dZB)-i<}@6rR?;U8x&+#92p
zZEuRm>sqF}sByI2iPy!A$7eluE{xO92Ku}f`>;yCGFMvK^i~I$wjSg<GD)9!%TJY<
zXCea9qmTdK&_TdU<DBZjDY{-1jp>Xw3$ZLp>-_Dkjo^uoeUH!2&|5Q=H~B`e5)s?Z
z$gHN5@W_lb!@;QMQ<eRny9;bYNsw`<^OP3M3_J|UybJX5gijNLcQ}Z9*FLm~Z`Fcx
zm4wQ3?j<^llh(#7N7fKt6MwHiDbqwq!(RnQgB7|FW0NKC<0g{W$M}O(HL(z_pvSg>
ziExdbr@V{hCDiL%K1|)!z>eC~xQwgJMA%Iq--kc>3BxDCM?OnypmN7RcjF`rAsBju
zt+qyx`0h~__$gN%Da${C(n8pXw(vsYC0U3_I3;^}#7rG~TQUfHWe%cT_>uFWYGJ}K
z<@)f(E;Y=KIc7UfaS~n5JD=S;BTDe5hd<vPuZAo>c4^l!F5*SPS0>vX;>0~?cAii6
zYN+$;Ot+KfC5AL3><)TJ5(c)<>kA~+u+Cq3qe%!qQFo4gY#>#dm<%Y?@>*6!&oJ|p
zVT>SQ6s+lTgGG+$^pIQqHmiz-o3&=?qiczmw)_r@n-vI`k*~K7@~WYhe?^%&SeU5$
z?ALVhl_K$et<2(_r5eb__NOl@i4vaPvfm>tm5F{oF*Zty8jQ?t@G6gs5z5-$AK7|U
zh=kItn_JeZ!(b_TBx6W|XwV|*?6{*w2=npDxKyYkHu0W~3$rvqQ7CMEaZ-aAdF!#G
zopH|ZQWBQuZDolv>3**@yS0eyaVnL}xUUVv@22Am<q1t1xjMvEo3Q4vuaFWWVORQ8
z$#F$Rg7XgfoS2&~@h!opF@|7p&O_NI>zop?&&zX6pG+nqyeF(kRk}DF=XT@a4`qT!
zD`#DVjy^F_on7}Yj*PjT-&=I{s}j|nHzbW^Da3H~DX~Mt`Y?HC%p2XKMzCH`9b1^D
z5U<a8Xy^M=;ql>VW#WDfVwV1Kg6%1lu%8NAozOLe<4k#KN{1$4_IzS8!pMMVCF@=2
z5I4r%jMXfs^(5k;4NtjMv;ko?adua+nkh<I7H9cWwTbM(=7o|Z17fS!R~^kQ=9mLZ
zwOXwXk#zLD0NK%ixSA^ypmEs(d=FF#0;_b1+;`r^TZ*W}TN6k6`brw(ox1xQoz)}m
zKYf?6y_%6f$CYb+e}I?ke}&GE>JjOV3ctC}>l1Zzx7TqDSwZNHVW$H(nfNigwa}?Y
zk8t-KKIB<x4U=UxTi!uE;-JrG(q$)YLQmUsY5ar@jvJ;$E4%9v*RI)@$TRMX`QS@G
z$#EOVg&mE`j?^Wb?jF#%>#ah(7JdAEr>!km#P{Ep+oMBB%Z@#<I-x*lg`BZ<^0I|o
zQ%>5UF%pquSsOfLEJ^$i0096043~E})qfPn?Y;Modu{h}uf4zL8kzAcBT*U2NJUZ-
z8YohdXc84=MG}SZ{ggzA$S6@{BqMu|e*Qhrd7g95AMf}3yh^WB@A3DtfSYbcr&AnM
z5lk;!l~ENycbL^0v@|V%o+Mx)9IK41C?rA4*Q|&yRXpeNusJAszdHCNT@lgS?p}I+
zV-^1$HS7E6oH=ykpLcjYkw+H1+K0po`f&f0r=8KP<}mi`Go9Qs0^+zW#pD+86N4TD
zs^cXy@W04iB~T@ccmk~ser%e@X!p#Mj5lfUc<HI>VzD%e!FSH@o8Q3P3}kfdPtri}
z{jtTv!V*Y|WMSITPY<lUhM}S303!1D*^^5|P*m3e;bRs|z?f3xU+xRwV8i{!;j$ol
zRBkr@sGk|q<NpxLK46eCR)W{v<3o{jk!<Q+Eb#re=@(+FDHtTtH173qq8Jw$m9X8c
z@cKfVi1mO8h&UcS#<<La4srI*8lPl^s~2;YWHyaq@M3_3brJ*GUqRHEaA5_3X@Oxo
zd1Gk1dtZKDX%j!9Mz}M_%L=vuv~bMD2+XUen#x(0@bmNFdi*5|talU#IVBsygIoLs
z@pjXAqiIt*a$tcf>9bb-?FK+c{FV_uI)tmozH%c^F~ha1ux=n_0FKFQmYQK-@Cz3c
z^8)TLL;Kv&sm^2i@DNKVi+4}M^@4-X2s<;wWku3^<qvwW;iajz%F>D{jpQY0DKo?E
z)Bon*%j<#r0ehaNynf7S6yF;y$_#0r4`o?j(S@jeN6*lQjbKl*pYD7u&kS)toA5*P
zIv~B9{^hag2`o&g?Dp(#X1KS(qub@90~<{8d{vibFxRv@^R*9|!5Zh^71*N<YqF9@
zk4esB%#MC4-U2Kz^*zUX<v(p8ZSH?$dUX*KyssTQmCFKqI6E5-w`svHfusGee=cLO
ziSEQBKCDo2_`z!C9xW&#Cyb^M*06tp^JhlP*nq<DO)$Mz6EO2uYVZCHOx|U!F~OD{
zJim!NcK6qWLxrD*CvR_I7MHVbJw3|-{}#?y{9d8L&HQT-E=TF0c7POD-^mH_NipuO
z$y6vyRP=b8Mi07D+4_0z+^|S^My^+-f&={zWYNd~l?MY(?cw2tfeM9)gUuA+7`*Fi
z&A|jNQJd||5qxmZHu~hg6BKxv+lfmZWCpXNG%t-femFuGH@GfE0Y<LQ0)_?_5Fl_=
zaTW-Gf>@TI{sRq&<k(lOY0U<o>~5_~PYMFl1rz$6+#1lqRjoNR%ntQux31IM3q$#m
zSEkHWb>K-kOt62*31TU2UwxWIplWjG^t7ltc>icf&5!1WDqXwPg&;AQ`gGvQj&d@@
zJT4^~UEqaBuUr2d(vW}%)w5B1e92HnV{>@e#RsF1ENCVw1p=M1LSaf|u#^Zrx=JSi
zE^;ZmXXIs|PN#<%rz685b)sOkxgbcS?oGu>vH)(h5AWwlU^n>nT40tCbam_)t8<rw
zUqghNu<ia|9(10Eg++k!*m*2Eg8*sMdFgUwGT0B@^B#FB3SsGc+rwswz-1itJT{69
zpS8Zo_dAP2R>6s;`)&%*^L{zx)f^c(8Kh>0c1Qwa$Tb7vXGNGUlVR0JQ-^<Q9MwW>
z(x6c2>Fea83{9i4LwScaV9UP>|IM`ns&&2<It;78qVuD823-o+@Adr{b6XZTTb3CI
z!_{ChU_*_on*!RJT-F>f<=}F#yM#SE8NM(`(==~ULG8Y$0Iin*J!WyE(l^v$%uwm!
z{!^M@H&UDUgk2tFN|!gd=qbQf_b8`7Tnp%=_P!l5QGlPK(p3-hDd74>Fhb>lHXI6S
zt3;uS;6cw{z-UB;Jxp)3<A!xWjIPw3H(Lq*D0H3uSwsb!(<jA??DW97#Z#xOQ5ljP
z2Rd@ssL-~yTRNpx9|rV!Z`SmwKu%EP6)_1-xIgo?Lcre;iYo4%N$XLC>Zhxkoy?km
zZV?lgxr|}@kzlCJ3pL2Ht^X`iNd;cNFe9#4Cg9hQ<FMgPf|$)qS^iWiY_?B-NOZ-3
z>8@YWzF#DWmyB#92UFlHj4b{N0pOk1>mZQG;Lo=-A~2~ATRP;7cm)~+Q(rp2G$g}c
z6{EvN_edafkWJLHjs{Bm6Wfn-lA%ki*Cb<21>7x067E@=!GF1@gE=xufO`BKlNFWV
zLE-$nt~@iapF4IxdqE9eiA61h>dAu&>*_I|2{VvU)^mL*s0L{(nP+vZ<UneutJaR&
z9EdM03=Yt%!uxg(yZzs#AWe9qO^44Myh0x?m(?r7`q-zy(P&Zdn>R1!UN!^%CNIa(
zKqYv@?lSQpO#l`Z)LI|an?ZN+7oXZi1;}L%Sv=>@1y5PxVzn=rK~1WwTlz_Pz#rYt
zH*97C`5B!=F*P$d)%GIg^aKGGqH9aCpKo9sjF+8!nrP56kreRNR}PrGST~26=dfPV
z{IgPT8ce;hZt!i{0i90lP342XFlhx&8HojeL9zhl<{v4j9x#?U*k6ym-pf7C7YD%g
zt;97@MFO0+#N5w6eTUZwdkdWt1n@n?DK(rT3NgINl0O!D@T2*+gOjZ=u>3Q2U`tUL
zKJ=-l*v|~$FD+Lq+Ja1B=?<^|+PDDh5_34;wLFA(6qSZB-7*20z&ly_KlmU*P0}hP
zbOh%%nBbbNGX^p8(RzPI9_Up46Qf){g5MsI_gPsn0tdJ52QQy+fZ>jxnQ3ez_=)c_
zj}5eqVC~%banFaWpuFB`6_`JS_Yv>#=bkczu)3<L?7vJfan+{p<i|nWaPXdpXpI59
ziAO&rt};MBZ>ms=+)rHkp!%i%I1E5UYDkGAgbut?>PqNMdvVv$SsB3t`e449_eN7=
z6Z;d4B7ci@;Y?m#D$?b85GA|&^7`^B_Gg8S!LO(dx7lC#OI<(@+O1D7>1ZrtQOYd$
z9f|dL=e?UjTw%KKhzj94O$*r9qR6P~<K?(0<5KClUL7D+G{~&g&S74^=bTuUg7MAk
zktI%+Ixv@&ZD`3fiyd9qTl`|W6iYqnX>_nm8yK7nTdj%H*xCAuKO>|%Ecl;s{wXDG
zFlx6g8?T+jiZ#j-u<RC0N2|*DRHhcJ_3R96{4|dFuzQKJ&vjr-DGIX2;#%N$?Bbhd
z^FLUK;Ehu2b3K^aE@rxCcQnCcSliB1WDGmLc!@uD>pNDXC!Urst_g!mlLy_6e`5(-
zd8N#z1DG&FZM$UFwtoz>{1`79#popZ{v}`dg*Ekupa~@^us6p%Kj%A&Z6qt^9%vcH
zw7b`>n93;d><#~kBKJ{@bbpiCNa;7$#kZ4pk2wYMHj+$;*G92b>VKm~cm80Ns&-wM
z3pK#cFqAE6aTJR*GODR0Ok(zoVJ~iUt3!f8{N&}d-xzY28gl*o7rXzThr|<Bb@*gN
zUv$lX45Q>Kt;Kwq!5VkC2^5-=;YiHU8<WTWU>5HV?Bm!whpA5Bu}P66Air-esLmb7
z7Czja%~+bpcz(PpG^$kt9|o?h4&g~`bIj=Ho>z<5>o;GX<g=&&X)v(6rg93yyL|T~
z-e1O!O8k{-cUFZcmOO>`x27?c=)ym<xvSXSl0S;2c`D#2mlhb(J%c6h=$lI&TE~7R
zZ|reqP=VaEoFyOnIjphlz?olrwy@u+o%0Re%1}NM`*(WRJT@@Z|8Fpw4)&bac%jsw
z1l(7mt{2rVV0-SI4Ek@59{e2t9lx)s1Q+^q)^E8kVfwCVUiyiQkoZX^-6cm6;y=F?
z;1XZKIBPF?`Pwjp-ps;cmXsn)?vLjiWM9L+H+MNMXt9Eyt=`|xbOmtl6P$G?Z(why
zA9o&dV24^u^Jf7B1@JOd+-H=qh0QVDm`;Ac3AcA^{hch4hqmj2hli5s!1ZOB%^O7?
z_|S!VMXcq)rGjo`WP=_mY+hrH;e5a=IIvhhMg)b-V|C8g8R5<Cr?2?_@q=QJwI5d+
z5e$gx`2|+YkbUdA$cblyaLsYNM&FJIi&x_~o|9NXI8K?)F;*Ddz3svWd5I8Ot-SLz
zjUDut(#EOrqTsZv-g$0_06zT=UY?1ZAnMor{N)>Q7%)wF`{pA7c7O43<l*9hP2KX4
zKzS+XG5uo5^qv4Am)P)<!+bF4!0qwwy$sN8@ZXp0CIG9*s#nP<KO|+uKb~xpg)<?e
z?bD1zD8)Y1r(6{T#?rD%iTwm9?tW}S*h7R@6+!h~uEIcizeaq+Di5WuO<R&5h;VQ&
zNaw4qD6D8dxHH$G0O3AgmSp_oVJ8xCe-<bXj#j!i7pj#Y<0F>mXrKW1(+^Zml}Uok
z*}~<*Iu)3mV$LbGQiM$I3eH%v4Aj>BE7?7y2C?VP5=8DR!M^9ikMaU#Aw9G7%ABw|
z7>;KVei&@$@m5di@eVm4+m57!sZiki<q#~Fq6U1ij+Mt9i4ZiZp{Zs?g)lW$=9lqg
zm`}$G`}^gATQ%3nWxpnz&DnD$fk*+1=c*?XA{0UDbiV}IQwyZaXDOytR7h2*eUT=m
z3<Zuk@$=@|@IhO+cPT*&xEyQD9dH#8JHOPewW$sACu?u5C2jxbW(%o2ZfX!L+GFVz
zr2|>){``#Z^}v3@U)kY137AB)Q+rBvz{tq(_<1=)pkwE+nK4oah$1Vwr0RgdkN*fN
zca1@CkL!!CK^kx_o}H~!PzNmL|NSKjW55zFcf&`W0?NNLYpc|?p{zgJXbJ)7C{0{`
zeSrc(6KW~7BbxBzrqhM4Uo^;&Ti-gAOMxSircuXfRQSqu?;T;-3{s=L`EO@ZAjz5I
zseiUQMCS-LQmV{h;09)s?@NK^DBrKI-BjT=B=ivuSU{U%QC0JT2558B>0Rzp00-RI
z?qj0`_?9v2&(*7ggq-!?p<QxtMRkt6xM2bH7jz9At;o=~<FSXtkT`g6xh|46E#S75
zqyLS|YM}nlJ9D6wA6h+wFZH)sKtu1rR!CKWo(l&r`jeO;5Am!(v;`0vrF|o#mEhaC
zxCXNKES6E$L}$!n0inBj_SZWrz>Hn1)hU%0+%L4~tKU^~=r5@+AuAEVbN6OaT*LxC
z&v8G<bHfbI>I+m>)5(G5cZvb?C>@eF8+~)c-wgJqJ#ReNEe*_kLRQ2@W;CZFLvwGZ
zfd)JA+`xBna9eD-;GD~j$X?~I9+}YK>zuktgp>$;c<553VaSCPtg~kliUE#OpXPnc
z6o7SIwZfd=+$inio527D0Ew9D4&N3YIAP-w_+p3$S!9hK`D}?nw(lXy(NQ*Vn;cp7
z_TWVaSU8_}JD38;-)p-rZ2Ow`-)7zyVZ5k$-+Yg*uL%g<Vc8@e+Qb3^JtAfuc+uU0
zl53AH8v}`XGvsOB0=7%yuiOPjUiADQ{i(V#Bakx+dSUVO4|Z_wCtK=M9wd%yQ=U&5
z!ftnzA#2!!QP=9EIIMZl)_D)>Xo?}+IA6d*JC})<HqXD)T;N984d0U8q6~m%-=7M;
zV_)%)oaf6<mvJM#xZdcv&-!qVvLc$f4XqmHiIwxo+{i}!LYgN@AFeq(D!3Usjq`}v
z-rBgzjnrQ+J0D8c1Kku^x<h^Q_>T(yUvba4k+*GD7hzQw`kou+733`AS<x?b&Th{g
z8f|@L9jFTo)){f<2<v!G$P;F6KOU5x?l+tEQwLu8v)XVT-omdZdp??A;6-VaUCq57
zI-qFv<Bn<#9V)2sbU)F;i)eqdr2qA6!}*|}d^vgy=*Q5FFC*T3D2%<EVfnB&6!O!o
zMspbvvrnKm=OQ1Xdl0|)VO|R!cD=n2EXa%ws|H>)c*u`T4I;c^;<X^X%{<KcJPXok
zHJxDh6+ol<${BWYT41yM;EDYVD`I<g>83nQ5UJgmcXEEK3C0c0dbLN`Q6sGhr|Ao!
zc5fm3AKP5~seQPiagGBmWq&PEu@y%4zS0+sg*D-L#E}_?Yg|bG8U?)w7eR};EcZG;
zQlazyCy6aX9&~Toe(BX)Q6zTIBSZEw6$DBj5LD^;kj39UO~NYTNHRBMqQsU8Gw`yw
zeU1-F>uptK7E7QwS1C_*F)BoO9v)&_;741x#dfheNum4Kv!nM<Q=ossrOA#(5Pckz
z8}1g7K_lhUk0sl;IXX3Zd0kZqC0Bgyc39hijK2PuI#Nr4IQE;29*2Zc4>NY{>6R=a
zMT)%)te`*@*Yz_oB_inVTuo3KF99{?7VmIF6v)3k-svVNhEha3Z7ej1$X}`D{_UP^
z-wB<viM=L{&e%;?-Q6#bI5hQKv;R>*zW(YjCn-r}B>O^i?3Mz``NZQPY)FN2`r4kC
z@1)Qdj#Ql=Ulq}Jf|6-k0u@RVr5QQS%OHXpXViXzGIGzlezkd$3jexHI(d|3(J6^T
zB=_SgsIF3L(k(y}#x!Zt>*8`~Z$V*U!)sM!s}?O*wxJ2vv`6y$1PSO@n%RdlD{AO~
zs=^p=p%z#T(}lbjBqEQ+0D`0n8RdT+bI=achQAesWKB_d<hgUg0Hdj+E57#QyWMnP
z$5KoJo1_BrHt_j#R!;*dXq2pfcGZQer}CxaB^8nLfGE~YM?sq&r?DN!^}wW_e)ldR
zB~<RT@5>8Y3X*uIK5{W#AJUiX>H_GLkq41RGzg<0nZ?DIbG-&|>j;rPv{xC`46l9t
ze1?Lg|MlkcDH(yWB`1Gnh6>U%x2ZzT6cpjJGm#Ww43`hyn7&9;MZ!PJOfs1%XlKSl
zgEJpZAR^#Ir$e18Iw`)+?Jlf=0$Q^8_VZ#O<YaMGOIi&T7oKUcYa%1BW@ufO1@LH3
zE>*QtLjt<tR)rK2irs2c-}wySyy*PjL$+!NBpd_;oK#UkK$}JRHlJ!#^JZTZS3^m0
z)zg<SWt5>$t`kqBf!aj)SWSg0G7)c3zQm%4&WQMz81~Sh_`SdDtcogn;L-Qtb0rbI
z*7tFk=QM+^92U8=Au8yl>Aj0GL2_uSwyH~C*$gCh(4S&SQAX0GwUxClGU$_iWEvCM
z45+28udP#*(2>ibq*xvaRNt+gq9kPoM@pZ*%?wvW3k>(GxkW{gh-SoJ-W3|u<Fnt(
zZ55CiLCN6wc>$#NNyg*KHb>J0a}R0r%OgIOJIaqA^Pq15^NSZQ(tx3qwJW%tfDAR=
znMiW%Xy???#tv;7T>m1lUn^yMze)bzQD>OYw9yYW`2m2}2Jt?3U1X8<3;n&ES#(Ir
z{B(2kB>?%1j!y%YGH9U{e5N_q@yBNc*6WqF>k(Tmk*ku(=X)?8QFjS<Vtzh+I2i-h
zRBB#mvp70lZum^>)*N0F$fi*7$rQ3Y%3sysqG+C-I8j75gP+u!p^xM;g{_+PcZ}bJ
zk<LTo>;pNI_%2QPLgFqHSf4s-+aM-{)cjR8oSMh+1wAG2>Kn%JMK8Mh*7p6i&g^_q
zI^%eWbBw`yj}f?VKR=|)&5u%>nG`ni$MLJ;5eBYABM3^+OwPZ^iz347Bm`F`@b~@i
zOoUDv!uhS0;@z6uXxvPY^~cf_{wV!jwtIsC5E2A^sVbbPPLxaRnAr^8{={%mPu2j~
zNlt9feAv-RF~*$_>t^v9V&+z1v_53c$`4NVvLX#LP5QjBd7N=NvcBl29#pFS8{@go
zf{N(v(wlZI;_C9n?HW7vAR)=&g7Fz<bjybLIm2cd4~)hr#22~{`L2(%@fH*EGL2k+
z?z@WHvbx7d$m#;$)r2diLyXAOA}!1M!8%@f#41KHO$W?|zlfbWz=&cTA5TlqZ{mn{
z^ph-?4*WVe;&qdr5xMkGbyBqG(3P`0KKUeQ!@(osPlP@(AnMWZl!9n_v_~dgV}eZ^
z=wtd!yJ{Ga>aCCQyS_1?Rp#XrHAz}9>%=6^(ZPU<M;GfIt(lO*;Xi@DM6@7l%<;J;
z8zZ`5Y?9L7!i=6__XY!UG(r1x>BcEfMwF$+(-9oViiRGwIQr>of*-l%*{^O!)UO(D
z`CgVCeXQ*&TW+DkhkYkLs~%@UG78#`J&PQuHX$k7EPx8KI~2^!6qu1`2ivb76I>`I
zSSk868x@)^J?c8X!Hm|GxhE}Icv12AxzSHW6nM)QzTa|z1%(JIcRJ<pp~Ig}Mc;6v
zz--~{nWx-r=;dUYz~S%ws8_tVQ;3}c=46u68yj}CJC8oYPE`<D>*YmUI<Emb!^7<}
z`5Z{`)_6F3st{V9O{`Q~Q-=#q31tf!T!_zGz%+MTkGw1`X0%v!=uENGDemV+gY$h-
zYE_~r)8p=jjFdXG&-pj%mGdI0-kz7&qQsHu-RmoEAIQKG!Z>!Mj}I{|w)f|FNg`7-
zSB?*{WUzR9;_#_Oe$+5E<1H2-jZPbuJ&JcF!`MaQzj;MLM2>GeXq>hKCDR2b^3%uw
zPlwy2LWK}~+k10$P8L1fie#kjB*R&4{UVXC!YDp5UI3{R5cyijet|$Tq%1ejjqMXf
zCsRebm7|F$W5#jLyod}E998oED`F_JN$8npzdSlq%)M47q7L?z<1a<aB#;Wh!tci}
zMRbD?u@&d5L#yQgCY&UNENH1o(4vH5gC=Xx5e-m2a`DHX7#ZX>rxz~ZqJo??Rm)v8
zC@>utrl4sni`WnQOgtD;MQ_|~Ziv)VpzjZ7#Y;~)RDXzpRB?iYc-1Z&51pZc@SJjo
z`vn5pREaRYvrI-we=qgDu-Amr|1R+N=Mxd9X#ML~K^lnUH>12v(}D*--<?$bCXYz8
z<L86CDJTdriXGag4K}UU!}fA0q8FKu-|??d(3`<4FH>*oz>9_}F3I{z=-c~%why6H
z)M<3gvTi~bUKzU{6g;?{$3-$vw3?{s6IJ-;S#NzPi|n+r4^u&LQjQaH%T)BUp7XlX
zUjtAHQhPjiQWYhBQ0L{Ir=pY9@<ZPfjbQCzLey>-HMFWd*U?l#MXMK&x#W^f;MZ~1
zl59Q_T4@cwWnf7~hRQ*@S<R-v6Hv~OkV!&V;{w<BI}~I+F6d}W0$^haI3Bw~LY}LC
zPDS}?Ac-q{g{;E>DNMg~<HX5mb1>H3$dHV3=Ix#k;%Q(R9u)4fMM9kO4U%Tnsz~!)
zQqMI$GblU#ENAWs2@zM`evM&JMgt$HlINn#;L-G0OA$W_9Zd1{u2)b%pM@%u-!_`T
z2@c^VIZHJZl@osa3PwOVEE!>67R;cH$F^qHQWce!mD=>S$)Ns(-t-oFb0|?c&gCho
zf}WT+K5O$AM{l3fDHG<*z$t;F{rx8;bnMc#X+nSyDrl<jxB9rvHE5cJ!%q?AWlx{i
z`^<|(o<1(#dDRSr-Ac<PrsUDGhhBm8I4e4u+|TM}YzDcZi|JuOL{#)2`<|;x^ysq8
zCjZR=8U)Dk54MiUp-GexIm5J!Q{V907Dm!QT=wICKZ9gZCguF&!vzz#9Gl+RZax}h
zGd7XJ7o-t;vbB;itrz#P-lJCb7$5`nU(BIMqBBq&wc7d|Kgm#j-C1k9{+?NW@}?L9
z^z~ZCw?<4ry!ClP0tTyV9N#B)h#-TSTV9m!J=o23KT)j66snw@bI$Z`>-37LECcB$
zwon}V&c53Od>XTk4A=1^u?%UextoL7`6Mf$Y$g-9n|3%ap@J6$XnnKfHU5PaCMMr+
z)HjBYf=S=~EV&Tvv1U(q-yrsT&*#wPP$M|;=&6B>8aq0wE$FmRHh?)s`~XluufIsq
zd1(j<>F;^n4zr+!68$*Ixqj?aY=N8qssS`jDT}d8GoqfPHu|F6Zy41<!sLLZ0eo7$
zGyLowJ@QicPba#y6LVt>KHh&@AKFje=)%hX;VL8nofO?R?442c-hwGT=+GyId;4tQ
z!ph>-eL?Rr@cGzq*+viE``;ivy|{{dU#uGt`df<KR+0(QFVKZi7aieXwq-o8b(c!z
zN<3~`TPSpeR~Jk)KgU;3F5srY4IeD4EAU&wO6FD(I`H)Nfw7$m^SG>XpGdt(18(=_
zlJd^q+OQdy?39#0i_>>S><sVtj8}HsA33nCYevq@1AQlE@GA*l<32HW<7|!vwE=Bf
zuxFb;9{l}_-wPj{?N<4YtH(&4v$D|w+R@aORR1Yl#r1bp0bu}V(g@b?`=AL8x{5Ya
z=99R~eB+^GCBN_}$!r%cYfU(@CXAmrJAqfqB}r?UkKmitS`GMiPGzZY+_7bxz>WEb
z)UOZx#-E4WZ60u@0<X-#{8Z04zBoYDPrN>k+emr8_ZXl+kDyW+`}{bbAd#$?;WUMx
z$Vrvi5xnh(LkV8N|4rb+cBwP=k~6r;iAsA(`tAO(E79~*6L`UqK)wB0vv}z)kDN;+
z4S1Ly`u6dMNxb=0@4E(rdAx<9feRf_hkG^~p-O#I__raijvId$@W)ac^c|^W_*nfP
z!G=7IKh!(*Z~pBPPBL1lF8NFXi+i?59S+RkEN*)~hg7WKrPp!@1%f0<qEjEKH=D)X
zF6-uZbg$uWiwkzt?pK2ti>#eW)^qso2X96V37dGEinjkkp(^|j0096043~E})qfPn
zQTE=Oi_5+4b-CBx-(#ivg(O882^FD;XxUN-sq9LFQZiDq>ieOhMWL*WD3P6=`Sb7j
z<2>hmp68s``+YX!w&#4nES}&h@Rypmflnp+)VeZL;4)SJo@CV=E~2nAX(yE#eG6KQ
z5p`9C#*tR7A@Tz57Bm?%mCu5tPtQEEz{$|a*ybo)w}^+ETWmXTu@#wSTFlCk$v}B>
z<KCy(fB1Vr=JGOjHZ&u&P&t)B0(+^eR*yqha7NSmzPtr?)att1T9}^%j@eRO_{}xk
z$ktM+ScD4+8Krb?Tv372@8f^cS2pmFBQMQzj_{y+jl0};h^oL$+5A5F|CmwbCC3YK
zfBBG{&xrAZd}T;e>f2jT#ey`))=+S-0Lsg^=UKs&f!x^S9=K~O;;584zuQX)MMrl$
zb{Zl=Q6ofjv9Y1b>>r{50wRbatNN5bg9!JY3>HL=v!mT7l@QmEDC)0MK2x!e2)uW?
z2X`}bq1s~wdf`Ljh{gWEpsorL;?A)Mo!P;Ih-$p46j3R(yNGqPhn)z;$)Thp@A;6(
z?LPrtp)x2v^DFbwbtRy?eER&oUI69VmblyV%cGJ16xPLgiSSoTwkF+72p#f*r#({y
zB$KTp{y~ojEN%v`w*3@F#2GdXuMkCae&s(wmKY*5D8mcWN217aCF6Oo1Q8uPu(8TC
zM}&(t@Ao{&6i3AarMyPn%IFH;4nk|HGOYK%96VSmiN2Ds+6$E=q-NHA%>IxH(AdZH
zYG<TTc(wbKXPGMc8enOu>`MaqT}x4chvX1J{_=6wIx4F1uNt{uK?aT7TJyB?1XN9V
zp>}wHhIYI;FMrpT0tM$X71DYYkp8&B%<NV=nyft2$!(+taUqS};r2>swbIG)yf_0D
z+q8GN#;U`Qr<ccLz7dg<`Gj&kK@%m^-}3sCNrzS@^_UQE6$CNDqDRHG&}HUWHdUe~
zAgkVA87m}o;z_2Z*|Zi4j5<wD{-p)iBKzK+N>xRAI)(aoZ)qb7(aQV8P92EMz4rdK
z6csJ|Rh^p@(LuI7Tz_u=(}Uv@zl$!Xs3B6>7nbW*I!JO?rcecD2!Hsnbmu`D3O$+V
z=SI{)_uc#!8gq@|x^(Tf->e#_tG--X;Gs4ee`>bQv0)0qg_o_rjB6mWl)ESACoMGQ
zv2y9*Ljd>3ACB#_q9ZAmDea=Gn&|fv|Mw2B%wXu*M8S1mI!bB3Un<YcK$AS>f;!L5
zAv9oudi5|Jg(fGa+U`+DMany#xW`z)`IZ$2oJvO+cl&I=5d{%jcNCpau!QBEqmlQn
zXdoGOWv9Or%4k`7f7^jXOK?AX^@)$aI{MOWcVsqG0p)(2sYA#T=9-KHuQAaOIC)a7
z+oaG$wb<?_Z!Cdq&ZO1rKt;jYAFaAMg;7A*Ly2FxmY_ILZ}Bxm6|t>-S9>qYf%dJQ
zQvJQ#67;uu9K9bxLNu|W7>SNWJexQ*FgjuZeh+q$*bXbBhh+*bz7-#ETM2`gD}EMG
zZ#iA)vt0=hv>iq6d>zGFqEDOK{W1sX>@O#Lv=z`VO)3B8(q(L4k#pSWUUT3Zy0Eg<
zT@ICOEZ*@t!2%9dLlcp&&EVQn!(X0gDO4|j?b)fx27}U<o1(PLV5#g!^vNDE<g(?6
zczibpNO;dYH+ukZU-zFVdx$WynqJrWc8d#czC1>z6975`4xEj(6F?H8KSI8jazo+y
zAgZh>20yG<^TfKjP#SmoBTi!;P?dcrYPsDM@~hN*Pi3*977xtH-kS%m7PGfkx|zUf
z(<8~dJDHGe%8REy|M7tRLgn&Oq%pX>W9E04|A!xqE-Uk3=Yd21qsu#sjbL=XY6~Oa
zFP<9hli~P;8@66c<mewVgiqA)m<o|0{6x-<i)uF9pg#Qa_AeDf_@T_sJ{Q@7AK&?w
z!*-SnIPx!+W}GyDBohPof7nyZ&BljhUC0GanM<wK_4?2@eQzvze<#MCw2*o5G#4c8
z-+ua_v_9zHce;`%Foex;{dbw=5Eo4RV~XB=P7g+7cax)}Ca|8t4}80Qxgb(|G^}Po
z7wkql;`4Q8Ft$u9RhvvMP>w&?ZDp$qq9K<19j?w}O<dl`V4MrQNUyLWqyuij?I~-;
zOBkoNyThNO-0-?f=whwD4%}_<e`1omg4JC57G2821IedlwDwkLgHEuv<sI*JEc19h
zvH3d>Oq3|n-3_$iT|(1iw?rnmY|P?yteqFiZ#e&MuhRmZ{C#H?dzoS9lZMGhYkV+z
zG8fg^X@T!c=eGj1EkJh4v++|Efb*0LL9L&f@atOg@3#?KA==kq>G7BVEZ%ZG_}_U=
zXcR3MPU~U?F!-11+8_uY`<v(Vr8Pk=ENwN`lpO?zUyXTG3qh{FDW?Hq!1mpxp<z!s
zz<K0bVA(ri*j24Gm3f>2HWpj|N*ZuMYp&&(^Na|nW?gH2A<F>f>G|C=-?(8*jhDb#
zeKDxyjxFKnphJv&8=qeiFUW5HoM)IT4o&_7=^~r|?P6P&WQRLH9LpBH^+rw-!XJfb
zT=1X+ouM!Fyifo}v@uofIw=U(`V+jNMF;-6`G<t(g7CIC`EY!!4Dk1_N1hg-!^-JU
zMp2s(oCq(ta>+*ylDn>#)=p^vIm2!lv5CMgPMJN<`UH5r<>P2ky9Nk`Q%@Axi9)6N
z&T4iW1xVu5ylLI30qhUPh0{yKKxk$`FFr^S)<0zQc`j-|l53k>5J>{Ck@ZT|hf2^J
zkdvDxO@|6YW%KD5lJMFoA@$Wb5oWj|9M0L$;py!n-6I~-uwU>_N}#C<Xu7%8Vb|zz
z=i7<$=Ss3*uRCzFAe#i?22{$sNjePZ20o*$%YmlWLqgjc8R{p3FR>hEK!-A4L3t<v
zW)5nd-|tBQWB(RH(<B2TBl|p3&MH7-pq9DITPg^C^4r^$t_g;o+}l|%D#E2dTPT$>
zG#DIAZH_yr1w$q5wp|%Y@MER*#?T>k_#)oYT4JIN8VuFX%1?+OeC_Bk|0NB0X*imC
z-b4r38r_ghy)xWU?H$Uqpo4)!7pLq2UFfe^PhDtLfr~I(;8sY7#Hz=7SFh@U$&np)
zyxk;dd}bkKKDAkA9?A*)p%2t-^B3JMWSH{cBV6WZK%=YpgLh_zP;yYrO7)p4SQlQ8
zS72p8yxGMewh|-wg>A4#oTUKct4+4*CpzRm+j>WaU;<MgeQx>6QK4SdFZSeNI=nG1
z`-KusffVUG*PlfNre%SWcPSd6nO7_|GK_)ofyLyT!&LZ{_DimOjRr3p-^pv<0Lbg5
zRi<uHgS)HS-)c*!!TyDd#h;00P$3?1Pi>3}T|B|XM<!I^!Lw~~MYqhr<7?vT!<$qn
zecWNUl1ze@{crp7H_X8IW@WLQ3>Apq4y=p_D8m?S$nJ}kIh=J8Qw;an^pEQ^%boFx
zFj#)qHua=A{JpDE;hvxhazg#&8|(zgiMDD;jx>iZ$Drb8v1IskZIxxeg*2o{b(dcW
zHHS-u>z#+)Nf4B{t##m?7~Fj~zpU(J4hc2+<PHTDkkV=(PCgR?J@<_rXO+!?+iy%M
zr;P{)_Z|G!q{;^rNyqZhK{Gh}DYSLroDzh9D^;M69TL2*Qd_T?L3Q=zgnR`>$l}qx
z(RPsqB5kbBIT)Eit2}!|-Uk8<nmemtI;+^fjhQID9)Mk@OATv_a?m${FUktdV|S>G
zitk|nqb-6dt*2z5=g$NB@%c$C;_K-}nlM1~<Rd-<ektG(d$=YL{TnNoYiIRx#-Q6b
z``mQ1I4HRovy=UPU`%X}x+Jfdf|K*H+o~0!kmf#w%*#5l`sx@0>9q-%4qLd@Gzdd(
zai?<ZP#cEd@ZVp)Y7GB2-tRfUEChRJ`g3f0TCn(BPTNRBV`w|*lls|P0H#%~mcsa3
zv2;VTU0W^~f$`DX&HI1z!ks7kMkctwVp;p&h@E|72;G#kq;WfLU^`KFn?0}t+kd;P
zenr3#9y6MW1zS0RQ%%;`aq2tf$x~Ajch~^zECgG3GqJ<Te!F84_kLh+{cdQnR_OzD
z1=0ddS>c*S3meP5pO~f8;8iyfeb}CrWfWY!1wu`9?2Ui^#$+zUwFd_4fp2<hNZTgY
zUEV)w@!dCyZ5YOj%XR5Ou)jka{QxucaKugM&Q4%`v8z`s%yr?1eL%(W5GIJC-4oi<
zJ&iTWxb(j%(Si3%`Jdg-ZD2VGp+g!UXE3uGr=EBP9jME=61(BHjzy2e#A`RrZ8|!!
zKOq^~&|HOagruxtexH6*j0P64<@>4H=LNMPS*F?wV_(DSq`hUFIR9Y=o?6|BDOw;j
zAoJpO-70n_e~{$8eFe*ToWztZs0E95afVsdtJwAY)BV5htYLbI7A$!gnxHk@b8CEZ
z6&q<n9t%875R!Z4QI3KpjCN$!2)nFd{Q2z<6E^jkhW$=VDPe#|0Z)w)(>f;UxE`lh
z%L4i6=;;_U2DBHpOJLpWn0cz_hnL!0;ZtamP~0X*N=wc>yZvVai<RWrBHG9bl2ls$
z!$3M*CGEQj8BEZ?rqbzqnjO@>Pcw6Ea-pf{DO>AaX28Nibd<Jnf_~#JuN-d;pbN{n
z($!huCHv5)P6KWbSAO-x@|ilkf04IhPuv2l68UFc9eE+NO*=Q1M;(3-`No9kZv~SN
zK`hm|{9u+9Zao%216SX9BEgRpL<ve3VqAhSe6XT~+@l7WKl$3F>)7DJ66KuGAtA8R
zm}M7oRD(|{yA4AOIKc3At@Z6zVbBaxYkkm71)nzY>97t?Sk{=lE9E5$5BM{CWCEx#
zcl}LI$xUwf#hKJSDkcu!v_Db$1gPM!D|n$RnHQ=_852Ph5)d$>`XT2H1$>!^!@r;K
zgL7mRu#8H<`g~x-o<s^%YtQ!1uM5DkMWN>_K3SNYmLlvsN`aW6efC^tLXZ$>awN`G
z9xl7bo4FjMfTl0G?%ge6@a=Gp`Z-2`{@1$27kw$9`{%^^OG!}}{FQk?6;lMEoH*o{
zNda<@ROW$lF)$${dM0i1G2yJuKE*#2c&Yieu*XjVxa$Rt14zp7oyj@Y(1QvItgkb)
ztfk<HywZYiwF;OJ1EXKFszKv^`RX2X8JL^WXi#t`!@T#%dHv0O5{5%$E8XSbKRSiB
zAV>i>=BKjWqcr%H9Ov(AOMty0q0JwgsIbe{?wgLT2FzOXWl5b^fHw(!W_5`)_!($Z
z@nVx3{sY>dtzIYsw@WbJUvmvOZAZ7hZ_5C`)bo93)|B8wrS@xuU^>_<OW&D3qzU3x
z!^@8UDMPgegP*R)03Y(3;*Z%{5Pg>U?eSa{P+Yo885v}Nrtl0^ZdDsjEET+09V3Bw
zY}3|f0h*B8$+#pFvw6R+2PE3*s=$);swBEa6QVPQ?Y~p?A?HqnbDlQ^B1Ob5IkRYi
zZb8t+#VG@LfzMoMjikbPk0)<M{%L~jF8%dm4My;Rt|zB_Mh*CcL;H4?XoBx!)*tEj
zOhAyyK1$z;2A->;1_qn=w(=!jw*CwT3Zo5jv>qCG1-<)zeN*RHIp2ZdTmZS6N+~;C
zb=W#PS|n^lhwFD`_!+)tAn(}kR%fFQx!cS)czbD3^rrGvj;uK-I%ic0$g9I}L7mmW
z2nD)#xtud9Glz4ZvKliAX;5frYo=B~0`hvs=~03OL<rhx-<?teWufsSN4$uzTs23%
z>uUkK?kv%^FHnKSPsp52SOG#^22zrfE#QLX4HNda6etSJUW<My4YQ+HR=YRreQMm*
zWN%eyja~fm`IRVmh+f%keZm5w_8Khk43J=SNn)$6jR3swop8LVZ2{bmWYH-L6^J<e
z>2lQ?8?b74b`Ummmh(`%MMpXjip7o#pE<pTWy-7s2*j8JBR0Bh_?IF$=iC2vu%5z#
zTG?AH#ms^0A?={Lt^!D0Y^NWJX~AU6-nq=)F$1|dgR`Yd@=&{$;>1U8#Xn2>#$Q!6
zgL6y=G`6is!%2^8FKl1`#zTuf9%?NC_!4l+?c<6BFzvkBC2(>Y_g7#3{ahCy*rScH
zk17U~p`8BV^;!J-#>r=v5g6<v7weZ_5r&h$6dIp8Ea2%+^2=E=Od)4zhVK<|)Ay=i
zd`V9h@pzX*|0<uGK+nnXxX=M!s8!JOXSQ6zspZwrCcYbk*XP_sj{#1ozrW{Z<F+MS
z%crK~4W}^>Zbj^MwPJ(05%0$3-bFkyo_~>m8Ns6L<P!~!Es!@J7FAAJ#6ADs*Lii$
z5Hv%dZYxt_0)q1A^hWCi{I00Xk~wYw+=a*9IVrASmErYx_Re`cJ$6pthSLBBKO70O
zyS9Lpe>>+tVKIlBnOI*w>#PrzZ)}asl4h_7(`^E`VHVG5HQw+m(Sz)~XUpB|6WFta
zR&d)ngD?Ah?rq}IgT5@`F%5heyWpuEVR`H?-u$7Z-1fLGaEY-c9fLuP)#&UF*W1(h
zwP2^n!Y?|o_whGNw)Sr9r||Grt>07l^WG-&JVPBYZDMut-qVT&lG)QdK2G8efe|LF
z54GXObaT|boVOT*%6njFdIB%iPm{bNtqn6>W*L`~OEDk5(u=}Q6ZnJRK2CC)7U<tf
z5?blV#S>#1q`jFZaIw38)(UvEAn?qichV`f_zl-tsW0Q>_}$|}6T=Cb(BMSuUY%>i
zuNde%@=HzNnfitnpLjH(Oe%PEhwm5M;JW7c_e&GFi|T-@ei{SBRyzfcU;c{wd&g3x
z4JPr`t86;L(hS%(7nsQI*NG1Wu<&l7PT>l3w*|I6paV4~>Tv+E2j{)V{5(fv8Xx@>
z;#{jshvcThGp?`u@&4e$?@x|R<6$3PEH|WS0P7_~GNEVykMTY_F!25_exxV$qvI=e
zI4IK8S{e2e|2AgQLHsm>=X4M@*r#c5v-ZYsL)#&I(TgwZ<LoSMIu=myhD3vupPYS?
zTEn>H-0=Db^Lcz>eDGkXw;EIzd^vN2_6OHdsR@g!S-@X3I#&u5QbAMuKmRt1F?=E^
zwddubB|P6hbn@a11!&Wp6N~32@EcBER~mGd@jkcZ)OIrpBr7M{ne<HI360)F57Sj#
zt|U2OONJ^;r|mowr}GytZ`xAX9lnk;;^Xb4X2{@Tgnf+5n8Cy6?jGR?XF{x*JbM`q
zn|VXRxA>0u94_SdIP_&NGm1^AY4fcnL0D?QyR@o#JUhJJH``+ivUrxTyg(ws`T`5p
zF=`Qy^lmw|m6sJ={yPyRw)x*jVjGB>r~ct*#OjW{{K<x7LVkA2imL$C(t+dSwH5qe
z;JfybKOD&L%bmYrS<2uxbE8vfWDPg=J)a~%<VLxD(qBuIl)-D}-uHGxCKMFpDM!xW
zMUE6(NxuprsK<)<lkYGinnIkLHBkVS#q)$k>><J=Q~5VT$`&*!Dr&@jTM&Ia;FLPH
zqy%SKVyrKAZAB`|D&NLTg^@1D5#_N*N>H7Cukrm;HstlzHOYuw6uHFG7FT_g;PuVJ
z!93L*h-1$kjl(NqNVKEv*tDJ!Fx7cp%AMsxaY2WKe#%KAa?U-mIWZ*|w8^G&d-0<F
zVpBEC5NUKc;nuMNP9@+UcNi1o5J0@C(rZ)9a>&(8mxC;<1g(Y<9RcBj=w`xjDXSL&
z32(dnLu0c)bIR^xcg2O##4Ys&*&zi)n~|H8KdS_@QF`ap+C`9MrIi~kP6_47Y)h3K
zP=a{oJ@gZ`V#xMVb7{P#GTO7<-iSYl2rbV~-An!?fd)$-i$72#Ay3-^>n~c$(D?Fu
zn-zyNs(GWZ)-9`wfP+brOI-yHKQE6fJ}HYTOUeU=G^r>>A@ZM|4+&yf3t87#2#B4~
zaXsFJhW6U?^n^{4;c&%hO_HYq(g?gTz;sOm-7h2YLL&uI8FP`3Iu+54ke-S+Lv&>R
zY+3i~sv3;!!R$xfiKt9b^7PmW10}w`u#%FY0WAw+jVbe+b9<e#7-Z2x!?U%r6PvtE
zWtimJUMC^3zOgNNQ(7qXSI&?Rrxpm8G>41msG=Yv58UCoHZoN??C!a&4QdygZAY3Z
z$WK3j^{15%3MhKoS}UsuQC+=1CibbJlH<aAKBnoQFpkGfdyX4`(J#vNTZo1(#qQGe
zPu4+2&fA`cv>Sn-lY5!vx;nZZbgI3Srh}|zG-AKom;#$j8ut$-Ix04fk7@JKMz`CS
z^W@wB?CvGCH@MMJ(CC?PUUMyUov@v^Kh_MkpY~>1OQWO3pD*q|s%0RX@lG;(ia7+0
zitVFj(NXlNTihp_HPBkU>_$|e1*mW1zPu4YM-Dm88ZwWmh%k@pGnFjiouPi(1ra(r
zzE4-a03)F*9+wLjZd-yjcfF3Rga%@|sn{BUE27Vyoh0gzCDh9kR??o)kVE)hF2V~L
zWMO#WX6n2p>`B~6UFT9mwsVK>m7Enp)2$7T1?`q_f09+mf<i%T5lnB1{9Guu_CGzo
zR7<$cx_!<-k&L{tl7B4%%Q#J7NyVRH33WbS1)^D0&~(CV?;!UVeDRtQ=h0#dAXZ8I
zNa#{Ra_fpjHp)15H=t1eyOIT5k$&koUao*LKc!B530=hwZ9f$jaMc_ZnuFKH^yQKM
zXUB=$H(TJ$@+8@1)eIiwCl)hnOCz_V*9gA-?7;u0_WFfmW)N1Qci;V}II^(+IJoCM
z7qBnbQ%-em=H)v5_SG(7B$HDUHCM|6Tt9!j>$L%R)>LxTC{+MOor{sJnc{_*j3GhY
zYZ#pTe&dn5I5*n+vHx8}Djx_hwDc}*`h<68Gcti0tO&QhvPf*?gQJB-YGZ{az&4s-
z#-GcCF1ZJP{`!m$n)@W<BHtN<OMr09QR5|C#LxOgb}%0p(H;&@%oqX9nu*PaGL4gd
z8Mdm(@Bvf0#gHx82#DNPX{o&f`09#SWlk+G6x<}RygF(K2iQ7m*B`#d3q^IC9XxqK
z|MjU{&r$=ZOfKl#QvCswAODbjU5Xca9?gn{GaG<cY<zp7=m2ILG(=Dv<$;8BtuXHc
z`j8h_ljj#Sid6^(K3nYIf!7tRq@-#+xLn@S=@;@B^L!z6$#H}Swmhs`xS*g1dibYq
zy8S#hJl4S<BgYHLb?2P=l6Ap2F@J#2yM&!Nk()Joo)?O0CryvA=)xC`^L$Ups~Al0
z2t3Tn2O&d0`3BGFKoyfnlZ^QWCgd;k%)N>a%=1E9G*+~McY?IrR+<^?xaFV9W%I*_
zW$w2ok=kHCf4G8tnFYdFO$<Hu3c#Z2gfl0%HVl7kP1l>=0(Z9kI;cA<0Df}<w{GQV
z!NI!4=MNoOA(FZGDd~|QoD!N5mC)3JT|#GscD`bRShiTTo-;ylTJHPWt!7P#@K|C?
zSLXovOD(J1p2EP>-#l?VP!s+emn?ksh!bAP&qhTZ5dqPE9bJu5ny}t&ytPu78<xVG
z-;2kI!e4pyW4s?3kbXqB1KN3@Z*uTq1uh1Wl=n9tMKj>S^PccONqit~_d|P^xCA&n
zQO#2{XMpL%gfowZz-Ir|{jZZG;qtk5k^mP2!b|&lE~*H^44p}Iksu9Gy^Uu`-|5ht
zIoWtZT?ov0oR;o<l>z$_+28sVbQsa%+he?4820?+klOK34z4qMZ)oPyA@k2q1M3hG
zkcvCWEV!B5u7?*U6O-w%*zwrlLxm{FoUc9fZ@&WYnT*YuT%p6xdhPnJyy8$_T=6C(
zP!SgVTC-ZR>9CvcVh(mr0>*#Gm(^w|fl5sLpFNdySbB(Y-`tP{`GmK>E`26K)(pYS
zVVDj&@-{T(9BB|<B7a*EP=Qt!;@0!33@~VWv;CHhEEvC&NV#y31S&7}XJR865S`N`
zZzd)Wi&`tDIgiP()yTg}d6EJ9b;KJ#ogsjIlU3&LRaN*fFH+4MtO>vGdMiB*RDdHE
zzudcaP+<@G4bK%}EigM5dqZb)Zu+6P{JKOnh~HbLHrk{GynGL~GfpeP@0WR(YO85r
zK=`{2-P49IOaG1yT_D1NI}hU;n$$sqKbOXRLkIeQFPKlnD#I>q$8RIm8gQ6Xa{q9i
zE@-wpo-m46fdwf>;M>g{_orh;((SDt?E9Q0NQfi>UX$r``aB(+vLtNvH}v5$?JCv9
zmkgg+?;Z8t+@pGNs8#<CLkO?A7HJ8p&?R0tE_8J>4^A@4I^H${nG?_L=T}r=5tn_;
z?@EVgW(J4Nk}>49y>Lj+pg?w+PVd(x4PdeD?eN)U3VepQ@W;GVIAyJJOuA1U4)2uv
z?|vEvd#cKA2RKuKSu|+=pFa%<CpWl84*~2CKEOo`r9wx;XhcIP6{;r2t~?k4m`pz$
z<KsnzTheJYZBJF<sp!V)TNg7pUU{+Ek3fa3x6{%}Vo1Psa9@{GwHY|YCU~$HQNStj
zxjmbXGW`Af{Y}J%8I(O;BUN!y;OcZvzFn6hU{CACBB<s-{l32;+C&xp2LJ&7{|uLR
zIMr_y!0kP*z4yM>y<B^I&qYd<9Z~VC%m^hKGBUEV6%C0*ib@&^-#42UC5i|oB73j=
z{Cl4FdERrL_dTD_IWmma#L!F9@O8iU@mHp1aLVXC(_I^780J5CUOPq{;=R4nvJK7P
zeYJj}rHK-x8D5Y$V<rso^THN7GG@^H*3nN&P!U`VKXB<B=7)rLZGjF;R1nti=OYZt
zL-?EdSc4w~IR4mE^H&WOk|skox^Bn;ZU2PE<J;^onADds9YO^>v5@bvvn=3|)%DT;
zF@e4ihmgHA6=Dv^Fgx<dz&*_&Z?S*0u&8|IT1hK_;hO_wD3yYG`sujVu1)NmqX~n$
zKY+gHYOn)U0^+<5?Q)b^!4`uqklI)QB1%v4x~z!8G>5jKW#c?X(z||m!4?BmAIbvx
zgD}*O(mYlWpTT4=d`Rt2F$G0S5oO1AL5S#GNVa}5fl)p+6tK6O!0$|f^^pmFcvLKn
zsH<bxcCcbqJBtapIx<?!YxBWyY|-PH`@b=j->F8c*2XYB(RTE~T^@MzIF?uZ@^37$
z-TJXwwh`RDeuFv2m;g7QEhPPM9m9?WvM@Fd8p84KF~_SGIU#c^BJJ($IChP?_xY5D
zA<%z!tMRU3hs%QER2k(-?0WZ|h=y1L*wWznlhw!yPn!-k<o}q$awJ^YEC%%9Vx)_W
z3pWdRQk?Wnqh_)6LTzh5BYoI3mW-*)V*)*uTfZ0d=do(AD3&eIgJ>UBi!66WsP22y
z$11ppDO=7K9%j^oY=!+^!cGhz|E=!QN1kQOuG9E3bBHbo81ep1jHHLN932nCR93OG
zd%x3j59`2<BFl>>d+Fdm!LN7Ty02qPqgjq#&N^@+ESjdsoeuUq8R=Xu+r)+)yjiy2
zQ(*QxU7!OC9oYHX_3Y-|#_}En<aO_*0FT(!WY&IKn4b$PV|Y&k1EJepBX6~#d0fS%
zvWpfD+<od%DMJUi{E5A)_S!&96fBLOpamUIfj3-9^l;|)wVvueEl_jX6+xD#gRf0J
zOkRwP;Fk&_slHmEIx>3p(M38~Jv^vvkk179<@K6P>trZ6`n2}IG96UDJ+11zn+2wl
zrsBdg$#9vT*Z0d6dYBrx%Zzy0Ao}-6XPX)s+~-Nt>J|*JrtDi*^N$@&G-zyoy(7V~
zxaj@WB8>2or!V*g7Z>CfEQ-;dBEj*-Did~YCfGc9!i^+H07JDX+GFA*7*opEl~G`Z
zS#yeMvl9;#^|al1nWqVR?ML0z53>Mm)zLq~1-u~K`*B|(gC>OP2ChGN$qK7ZT|)-6
z{BZkBtEvA*4d_@u80Tid4ql;}s}L;!nIGrvNemkBSLAED)-VSYte<nXk`RJp!w(R4
zT^$aYzsNXN#Rck?CMUf5gh9J$(^HzN4z@G}E+sAmI3sb2C8I_Zk{Xj@Z?3Ds;)x?1
zlt3Qn8vPTRS1S&Rt;L4zZEEmwL^neD1}{ti$(LnR67pAXz2d4=gPE9jX&*-TK<&vx
zD(!V?II42UiBzEmS@{w<KDz`!ImvLE{fi9b@QGSGwyQzMKCUIvCPBzei^xfmlY@zR
z`&0Bx>M;DKxN*co7;eu=OMQ=%2S$8Ofa0SL{BcP>r$t0zEAhnT*DDHOP>`%{G^Y+T
z4kP6fb7D|w_lt-1yb|>5ZCW;!X@FX3!j<yh5^&PMYx^dP3Iw(Wt-r|91ULGEbkdp>
zoYh;1A>1Z{*LyBuHa8Lo@WwiY@X3HxDe=H%JvF#J`!(+?3mL{;*46@aWnuoJcUWYH
zIwbe8^{n)gVJ-WK)X8IVkehLSv~>T@JHb6q#da-db^BA6c}*TJxV9+;9U=kVa;`pb
zKpT87c3KI1Q~=GZ1^tr$NbspF#pg4>4y+DFM(ko#0x?0g0lj!KFwQat(Vf%<W-yNo
zrzk^3AWxL|1R0h~dS;eJ^&sv?^$-37D&Vb{>7=Zn1+{MK!H>fYK>QYyNc~YF=uMkf
zf~FR9UrXU2h#NtR4aGIlK^4k<4?AC?(}H4twA|Tl4BU1^f~$lYm_!A!Z(b*Zc;+<Q
zhcl)ya@4HU`L!Bol@~`HS|Ne8&H<aI9j=zy_63D1r~}{mfLoy=JMo-PUh5qI=`n9V
z|8rIcjrhvBK@JUg?WquFe3lByk%HBNR_Y)!ZWZQuMHRjsB#&;hn?Z3x_)noNHMkkB
z-n6Sj8I-HpXxC!QAmsiWyg#J|ZZ~h;(HKww8ycpu@Ln^}P$%dFRj5MO@4e0)L$bgk
zOfQqeZVsJ5p7gIGLQ9TL`rQF3psrbo%SxF;`<49A^+Xk*>jw>5V^KgXpJl`O&0)Cz
z;P6cYWf1wQZfs5~02>BjtZXx8urBFSAN^ht&K|HAE8D%pX&3Df`ln{Ffve2T?^A#e
z-(LH_H(>#dMmu8XaWkM^JLNdkC<iZN54mWH(n5vo22B%-8Juw6QaG(A3wJ->y}yUL
z!_SBu#xF%wn0EU&{_&ACbUfai8DjW@)mdun4bi1Sqhp)Eu$LqxdeF3YN_@sN<9448
zXaTSkoD0!T5ra^22m4H36~4@SXmHyJAb$4=*7hD@c+w$Us%6lFziHL3sBFc+>Bz2#
zhx-KKdP`3q>z-jeDdv8j)wn4Tqh|VP7x-XRiCJF7Y7}=Md~pfnG=-K;+iKf39;p3%
zt72c$7=GHXCPPf$1ZXbGrDxsXhL(M_s~KM7_*Z3N&JkZ@xVSzTPh{kPb52FGCK}_o
z=oOoujoU_WLcWGsyn_WcJzQHQl*Vv!BRo1WU<hmFTHh8%8R1n*o~do(C~mor`v5`4
zaL2zv*<p_KU>xql=pXeH59RuB^r^oAP@)b_&2Z4dZjByt18Ep<x68x%Ug<-OY25Kq
z;eXhfG<UnhAp`jD-z`u6a_IxnLy1!`ZykFWvlSA3@GEXJO|)P4)q`QurOft}6|Ata
zUb)`jGcLavtgzXt3!3GpYd?-JVxdtnvWoWa@Kw9F7oMx?!mN|JW!~L+?8vM%TZdl*
zE~}yZYd%{CW`6z?-1lr2+m~EjN?-5<Pp!*Uil)(lM<<1jG|Ek5L!5c1{kj4%2lL!H
zatH;4%4vy|<C9qOySYH0t|~0Mzua+XR2!sc+KUAx{$PPpB{gr^8nC@;wZ=Y2v_Xr3
z^MD3*47>lB@;b?<1EXP{TPWG_m-!pbt+u97tbk+LMc%Rt<NG>$JJL-H4z-lGmEZb>
z)htzapSJjdrAN09ei<Ocx8sZpD-A!f$jkwYEWK~o(yfW0tm9;mtUf3%q5c!I&%8Xy
zqcVU+r%un@oF>67PM_!(Uq-OXyenRpGl#HcXV#J*7f3)WU-kXsixDiayt0-pZv=b1
zR^VpIL4vYZHpRpbBiQWx$ZT@OFRW#RIX42+1TN8~KR$v#vH3@@>mT?2#$H-lC<Fv(
zz>Q%1zq%_s@v7tO2gUzj4(y5nMz__0&S>>=wAL@|o${mg8!?j@`w?4*_q}Qm>?)+z
zN<WIR6%>i}a!zBE+gY8=f@<(r(cI+_?Qbkh#X@Z0*erJHwhE>DpehtAZ(n_(I)+vD
zNo%S0&tV(G3Kyh`iJ*~aS+X2EjvZGwxppmh0V_H;@wRVH1?;~*I`)ly0uw`t&5FuP
z*s0VK_RU=?a5Ohd95qj3+u9ech)gTkvrmlqk++qBf3|1iLG=_S;M6m1&Ao<kr}UAJ
z|5Jiw!N|wd?=#rOh2H1+dp58ylgsSSk1B!P;0rz<={an#AR#sD#TJ$~SEQQoP7$7>
zgwlJb=do_7PhBEp8dyE2!Z2r~2;V(CeQPEbFn8@^2C=2Iz~);YBK1T8qB9;i^(8K0
z@@#~}Yi9JIa9mKzN=*UmRGZNQ`xR^@`{;irOpNeexjf)Sg*^P#7T<4bwT3N*9woh4
zW&-+?9Sdzb@(}-hBTYDT11rsHU%M~N3foeiO-oI3@UZinD%QJ&X`O(Rav|(6>E;{L
z?Jfs8GM4uwjcH)dW0fZbj9ehB)f_LqAqy8(IK!`2(!%>aLP_)|3E=uV1>O|Pf+yPV
z>|sd{4>P-a-M4rk%JSdlrvtLEJK}=8G&3Wt-m9=Ns^)`A-PwIl1Y|+{mt1b=A`=YU
zm~N$96@a^=f1Kz?WZ+<>%Yzy|R%m2<JwsC}1j1Kd3U}1Wz^l&|^{0K=;pjDC=93d5
zpjBPP6Y@X?{{AcbJhZ|IGAf<vyN`>*?#}niLlrU*qu(==af|@0iXn{J!cy>I{QSL~
zHW^Uh6N+h=;sN2Fo2od240KqKUp(5Dft%7?M4elFAf&X;a`KienB)f{0asc0IyoVc
z7AgQICGs!^7kSvDMSK?BD+}Wrv~R7$gy09ue`fc|ijaLq`%ZS89EgW^KfHZc1omFN
z6(6If3|wWO9*ug-1OGn#KqFdluzmJ(kL@lZWZf`J*iKM@<ZOd3t}But18kAo;c8&I
zhrP;dS`i-BJQrRsmIkf_bA9=G4Ulh~aeaJG87hM^*%gFkK_DkufP9$*6wTb9F|UZQ
z;eSNk<c=Ir;d$zG1sQ6yeLLf{)uCAOrhtL50?;HaZS;3&fyRxjRsl{D6x8oaO8TV;
z`@|Ra9RI8hPjZU*6kd_xib+Q8muzKNWRev5@`?gKZXOCiceG(PSs<!~x-$<gQ`(=L
z(g8<Ww}@wNbfDzM$C#O)s_>+$Ov8Ut2S(hzUybnT!`g-0Z^r}GVV>!}{AB@McvW$=
zG~|jQ$k=}gDeuw%hN~<@>z_LCH#mLtl%xqT=RE2aqalGY(|}#c-W{IW*$GNiVPH}x
z8oTcd35we%W7Kz3fOqAX?VJ!5dY`B^WxgRnBjJi1-me8r4?0NCclOriTXj($KS*%W
zIl;-8j|@|{2dhiK97cnAzDm3$!Hx8YT2mSg=n^^ibCuTu6wB#|H)2U}o%^%G<ufX<
z^j=p-wbBBH!f$#~*+^hwa$?H1P97jFqNkf{7c7oDEiN}}z)1K;>KQI+@Si^VqhDti
zc(<P}zoVoMkWZH!qAdgqT|X*Um39H==05kFJ*x1}rieLEfD3plO<JD+wScyJ{GsO!
zRCfA-i|(AuHa7Zz^iTJS1$=*ahR=Xq3FMoj{@P6RVeQZNkk)td9O^K^o8QYr*jI}4
zJHtu*$nB34;|b<Kqj}VSf4VG`tT+!$jBeq6Pj3o5nKc9Hh}gB4?$R)O!LDH(7?Eo@
zzsR`*W<W_ipE7b*9FB~UUU@IGqKbiIsJE61G@j`J<H5r4@fzE+6lYE}YV;IeQ=~#{
zBJn?#`}`2*%l+_g0XM1~ty>tp3b2RJ+4x712P(H`O|}vU=u_R1O9h+&;p{72G=1!#
z^ZQ_K#v}o$1;?}R7sB9pU!=1CG9#o=pV(*d@u1!BuE2zhDcoCbxkYoE28IQNC?z~R
z=)WU>l`a~Z0GVMvy*YmcYl^{KHWvw~)B0Piyr(gArIu@Ne4oN1D!4LR+6icTqupR2
z(+CoF^}Mq#{EnF%@q2P7pMVNu>;4sfFa*z~xk{t7L`>$NO&@Cj0qxgF&pj((2=8~d
za|w~Z;-;rZJL@e8=%Vz?v3M^77&I-FPPZPz_h#I~#We`%x<}A;mU?{%YrdEf@pu-m
z@F&ywDiF{WSxYGoNqxwBaq~tJEa3zL$9o)_1oX2gwTdx84-7fXix+&?aP|;8w$C;M
z^iluKo}5KpFeCFHjyKxEOV6IFVT&dpDYB7Zt)DI^N^|fYJ5Gak6Pt(?J9P;>J0r1c
zR0npMNjLxFrb86BhR}0F9;DesW#I790lUiH)!U`?sG(9skgb>p?H9IlpqZh7%Ou}z
zL}o+{1zXQYwRzFTkfO5OMG7dow-z~9Ga<dr*SAszc+ozwf{+9r3MlXO;qIrfpeSK=
zzlcIUlsQO~Ve?QM!X!PsJzugStDDy&v5WlZ&8%c-**<O1^`XS)n6snjE|y_lp#q2_
zE>m)FNehAwD(83haiDvBj!!Np2%@NN%?suwT446^O{L5wF7yQ$6n0e$p}{krDbzz+
z@Th9WuuPJGGApXAjQ<HEDVn8DXE7}}eb4p80y7U<P5r%1>m`cT4{eX}{Uk$BqR6@Y
ze>|ulyFyOjj~JS;V>eK$CIg+Yex@7)ANneBKIlWT1Uk>(TjG?y)A!0nW*Z{>=mDRI
zsm)#~#1ej)CE^SjeEFi=yr}}HE?Mr|!)$5f^x>~<z7H81b3gILUJyh_{sj4yWym19
zJ)ZMT-elmSqgWfY3!x<QN0}FH$Rg{w8F%eaGIZ;ToHbDuL0y8B)5NE8NOs-+msTbj
z5Y<Qe?;TO}rr5^ayhk2!cb3*G;bgd&e)5)$x;TnF_Sd_aP7$#el^MowlOZNmP;UO6
z1X2XE5=LDm#77>?Yjo6t!|pYOqft^wV60FzCqNmcg*lhm*J(k4nEi!aMbfB~-Nitz
zNCg!gHx7(3(S}f3lCD{*40@Sn9C*5mhzzbK7zBOM20iPEg}o87$fEW&gVmxcN|(!6
z8;PgDslTT=b_L6!`?ZWrLG<dVL8XXO%~l80nTM^@yyVf#EziOC%jziRo!*~Sk}mW}
z)gD=PRX|E}C;4wQYam0}hka^9J?OmT@TuNX5%C9K|8mb;6D^*-i@(s<2M6{brn^KX
zbhjpQtG!bbF=jRNgdQ}2@e&8CxostslcpPSdP5VDHs3J|B^rX{H;dLgZ<JBMvrBdR
ze`uoAe~Y0ixDmL1d-*%fUj<!af9SIuris#AWiAj`jbVSFs_=s)74(U}FtrfZK!NYs
z1e#S%K{5TfhUF0=658Y2^RPx8S#lP(C_7+4<YTisP)I~#cE6-Iebtbzhih&f8KCXh
zwW9i$M8xY+(XiP~ME7&pPpUlxU`l>nlv+YW$=yf$JXloF5uVNjRRJoPw}f@dc@vRN
zOReZRf)X;EcS$kyr$X!TXKx)gRFFfw7}vo~dE_`XVesNU75?}%tL*ntL2tq=dF%US
z(Wl%g`MFP2sMP*-GP6P%IdI>U-L8{H9Y0NU6@OEK|NDnm_dhA2|AsHSDjt<U{BrwR
z{C-hEp3TU2wqFs&wG6Bk#)zOtwS)E-K2ky8=P7rSj|ym^;IiHLUjcNHzqBcP=iZ?`
zHA8t-@~HUv_r&qXyy)F7R7yItb6&G*b|FO$@xKsy<xtLz#&|f+|D;gCL+wNVq^B%O
zns-cj^^y&Zx(%hPOah2M3(&i%D}!Q;^4k7OW<pPAK9%ji4m<4L{2s+4jeap1Uk((c
zM<Xk<VQv-x-KXRBqX`Lg<yZ;vt}P9!+}rS;y9WceKIzTE4l#7O$sk<QW)qLBvvy9D
z!XSH3qpMG=2wHF2m=on$!>6vsUh(!Zg=3M|t1^BGq5rO3rf9!i#)Hp1WeI*{0<($M
z_M!5E=!#WO^04a?UR}F~dt>K6Y@ona|3rTDH9!31^z}tt@Y$EMbi0h9sqoa|GJy}B
zbKp)OpIO9-H5#Y&bBq8ld8#*Ex5JsBN%6@Ki@4p<cRE62hVb^u6{&(W0>bhY-3PLk
z@a*ncjTsX|*u$C5JwVTm;#WAs^&c(c%FW~(^LYl)5h!cCt;UIN&Dcly39RBDzU4eK
zUDXHYqqBQ1=dz<eidnV2HETGxiuA`3cYT=HB#WvTvY{h$>izlI8@PNs`Tl659=IgF
zJCP#9ig<>5-YMVQ!arsl3$!BXK}?OA)o~&VQvYScFYs|2KbF&y%XMdGZ`Ip8oF2rC
zo?kt8Zit^2v3>Z!p)05he&6fYC4Vs?n~99n3}-szE;x%fr0am`g-a#A@l5Es?W{$^
zeR_1{n{oFmP8~3^m0shtXF{e!cE8EIjOd88XpwRT1(*`W6X<p^p-(-zX<`{n=q{l+
zM@)zU)I1a0bPpz^@8cJ(qQHWz;_uMiFVcoL8i%}`ZZjd1mN`SO&#VY98snML(uRAt
z8n~?JnbBkbWsG=>9l4tcRk62e!R#@C&R5CINcYu5u4FtXde)&=Lq4hnlS+H8S?jPM
zA!A~#Y#KMR*_TJWN~;AC((#lTI#x7bCs9^9KtQvfL?2zaM~0Q*DgE&UR&?i;S->JQ
zFS`2RhlQ3s83f8buqGCE6vcJN`N3{J<nGO<Dndtwygy;-E@m9)oJ3ATN&!ELizIN~
zsUd-F(TU|3cQ}#l*=+nEmmpGj@;Y$;SrUkq#@^6X=0?taI&xp~gisVU%dXax1m0aT
z*uxV9^r}5gsS*=GyQ^A+Z|}_2-1C9?-mX08s-s487=svEd{ZZx{#Fz04pfzs-FZ<o
zkH|*)xHuA)%9ygw(1fRz*34U>e5mF{tq|{&Bx1~c#(e#RCbS&+cIw4FeiRt`;gU;|
zG^+SkO#8<}6Fv(@N1D$Gpi~aF_bm@)ke*s{@^X+S$Y>}Y@pBeJZu_raNE?zx&)25J
zItw&GdTAlB`Li$@qno=sBPWm8J^D4fW;CI_|LJg5fG8SY8~l)aMgi^e%cAVpCc(o~
zhZMD>#gVF0ec|cPim0@Wvp->HK2|;Wtf*s30!g1QC*L$wMl)HeDVY-_NKrLx^XZmC
zHwffAqNOT`#n<Oafd7tX*ZC%d|41Y5i9cN(e5$DE{blkNgBFO%Un?Td%OIP;!d$)c
zYDh+a`{&=+TCnjfJ1mV}4k`bXvWxqqjx;>0Yoju>fx{`K`<AFY5`s&;eteqfb&6-Z
zM=S;0-RuaW6a{1|d}mZigoGpqioE{I(ShU<LA5RG9lzGK3AJRBP{8cAk$HnIMAq^X
zA`dGeei;&*-xLXb4+xtGV$%on1VbLNW6DU8^@ja~0vUxzTpMinHGuFR2QEE3pn}wF
zgHf6e8Ku)4&`#|&gq~Va#W!RkI@|yo@j_&@I=td;V`~gGjal)DQ$%FxkaO&G8ws7r
zXVz9~HGxCCeg1K=sz^lEEPuw5gmSfPyQOq6h(9gA|IL&tlJf|C*RQ0BICD=tblD9M
zmT-Q}N=XgbkGNsOUh2p{`)qXGF97vSw!suNHRN4$@8qhZDw_0Vx92)Z1&O`Qr^_}}
z5n-FQBaTi5$@EirLVi#|uKlA@S&k}VJHdKZC|(g+H~*KSt!oA@&3EP!)`+O`Df@@f
zSvmCc@8sUqU^AF?;AR!pAR>JG!-$x>4B}KeC5fk-fp1E?ag&}3@`(1G$f}e;hEE$G
zwPl;Z`esmts)RDylUhhI`74a9Vk@bKqRe3ay$<(_QAPBUwNi|d#E(ky7YP@f%>ZwW
zyQq+_fX?6P{_Ay(fQH-G^wUJlAfS6GUKW!_vEACOZB#b&^<znt=#JNZ^gLmk8k9wD
zRUurL>=}?<fDyx`b5!s)Z~Da-C4(4Jx<ht9`G;TJE~)Jmqryag!fh)BX%zZ+v?MBP
z8DG70m!<h7fWLlp>5YdHsGCM<Ojl|a_iLr$jB)_5(ort$QWZn0?2{);9Dd_vK5Pdw
zzF@#K?XfWNUKp9x3EaO(Gl)-R{I*<R#2`Y2@&2Eyf=JS4_G9Gx&-kYU!-wVcO(EFd
ztI&3*&garzV=)gpaI&y%Z$h96T%tRB)a4#8T7OyQ%01eMf6Do9h@;dP)c<Zxs!tP8
z^y|rkccmKewWnfzR-;C6K766h5pf}v)u7K`+?w#V;PBvdWh1b-w!FQu#E!&({eVkd
zJ1*3AR*NRY5bTV+D&C%BMG{4dSN+>N@v#Z(;evVt$W@o3&)dz6Qd3rZ{qBCj7w)L8
z9pu^ZRNBJTZZ}30wpBlPS*IV@RyP&o_tS@@tF~>emGo#utX6)ZbO_hXVC=i!tOtaz
zgxqRVI%Ir2a+~eXPh3>==h%{>9vHD#NNh0DBJE*=F^a<&K1H@V_c>J;%KgGL$TT!4
z#GAVNW&Z^3`a^48YDEV+M{UWz4*&3CC0+^Jm}z{{_g?F3FC9=j@mS1%eG_kC4-#yb
zp2J0M2`ndnrNDrsyxgU^4cr3hGSzb};CYGblry#zc+(U8JDI$Je@gAeX*iZ}T`dt7
z?+$I)^=XqT_iP<s`{YqLD7u1&PH#8aSZTvXVKsAQ_&Q$La5M9O=^8GlYI0NjofZV1
zrOfR=vyN}O8k%mO+rXa}v_F35pastaSznKquj8X0w4)1MTX?14kcI02843@0s<8-e
z;HQGx{EsQnAhYH;TKohVn3gJwH>x-A&eU+%+E7~L?l^yl@gE89Dm}banXrjpaGH5r
z^NkLD_86Db$sxg70`HZo<SqR5z4>|z7Y5{beMRMn1_`)KADQaD`G@NlTL+(?Wkjtb
zQq~&znsDYoeOR;r4dQpL$f_t~Mji7V=eGtl04)Twz4%3gYMhTv`NXm!f6we2=TtRd
zueZw<<s&Vsixg%Gh+{|Bd;|KKFR8<K+f{$P9y+u+I(hi{BTl4P_W7*hh#DvtGm)tq
z^yt^nMt?m60sRjE0RR6CmuEcHZ5YSxz4yxA4$c5iK(N0#_WWOt9m)tvWfn?V(I5?p
z6f%-ZMG8HdltTL7AzMjyWR)#@ugBZ##r3&f-1qPI{kBiC(1zF&VEEpP24SE_LfvNv
zg>1Od{6@opXJ1r+u9u0mDUSh(e~oxy@RA4V#bkLrr>KC}ZJV&CBqkJM%Tjn-l@ICO
zRqjh^QHC&k`X;quW`xW!pVV*ssD31Q^?9H&L{qLLlRvYfSfb$Rs#HM~QXRV<DWnX}
zDTmTteq~23hl`KqL<u9W&gaWL?MlE;?9*-9<V5if!N*dQL{ZvZ8=vVsC8(ZyDITQ3
zjgGkP$C?`UpeMA#$8?jF;BnO5>$x#Jh?6P9<DRf2DoXeDFWj9AoEMjPH_MA!j6HYm
z_(~y2i#bwQs04|se0wQT{HU?Ej^$mAGz$DIoGdo31Oa7(9Zd>?$TIdLZ!;!~eDov}
z0&JAQ(ZN;f?xGOll$!D9`Ywm!1rJVM>r{rz2R#qp7#2ZQ2g@A3g({%2$vDyBR27)$
zOj%-D5<_0{!8ZDeO6WB{AnYGQ0NL|>q&h_jR3R7OCpW2#67G3Ko4r;A@iX?eHJ>F>
z^l66I#qSBo;xrfICoy&SFxs~_VpR$~wFf$$%W6ox(Wqh6p9lnLe}))L2KmRgz7~-r
zqEfj>p+f;AAR3du2&KrPc8v_}u0<lMXgDWjmPUr0Ls1Ne$K}wEbECmsB_z~HC?hTY
z)qrDM&j0N-RX~hRRUfjBkP#1$Lz|nI7KAkw@IB8|L{z;mlsfy#=&E(|;xLU4U?aol
zX@``M)4;#rVGRw$Q2&K|@2f7%xff|S3aFrli2Av3dkxg4!z%wZM<4tXS#s{G5>R&Q
z@8(EV4U|}?QPF$L5T0Ik%}o+hMY8Y0mV~~N(SzU9_lnOO!@PL{$6~iC%6xA=_Jog&
zVrK58ClCNyvS>v*538Zzn17^`dq{{-%VOlsZUXJ*Ob*Qt)sUs2vawTxI&x*(N%HG7
zft39T9=Uhb5Vaq*Hku@$tI1qfV`3<9jbF%e+)@qoe%p+6DpNu!E^j}P*-XLPG2Dgn
zS`}SSb$re4B9B`3o)KX^Z3=wie|G|Y5Ri#ebmhwdY2=XcNq#fm6m;X~u1vmDLGPA`
zz1&OU$o4qdAIeQ3;xW~)yWYx3Soc}?<4Z!Qu8Ok6P-qHFjlXuj|4~FrlghRG5_wRQ
z_@c>Vq$%W{eQNaCLIL^p-SnnD&w{v47myBWn1b7M_O;A3In>I*Kb&Yljc&D+Y0Y;~
z;Qpt8z@2s(bdr>s|EYZ*m*)6eE*40EN7CaLVg;qq$F}RPBK@8Ce|}`PXDcRPG~+?-
z?J0>i9SGb14*bBLPV;)DT{HnJO;S(h={-n#v9v<6a14`<uS*c4Hi3u~|F$`b2x2F_
zGIVj7#~#Feawxn8aOuA(Id^kGboKCCwe-AYEHmd($SN}c?|c>C_X~W8&EM^}Q|cNv
z{$8QMQ5J)Vv)9PnBi!hqzW-3X#|Gv@BIgVk7=z25BR1k(oal*a$=_qPo0!+teG`uE
zMliy3V)`OtL2APT;-8Z?vD8z2kH)SVg4%Juhm+k5C{1|mvDkr4tSUu5DY?i1L?qeT
z{atC1caXNHZRG~GlDb!ec0wQCIH8ahG8M8}4*I!gbsf9VLn00<?!Lp$IdrXI9k1d<
zNfsRI*za}Knab08FqE!(Yw_C>{@*vFQB$Ec%#cz&t5L2C2MGzU<$dRHu)ds0mRrS+
z=10ghvFpP79EH4@<q2G1LcBi>Rxp`6P60~Cb%3UuVKk8a4^C^cp1&EojD?uDkQS=6
z!TtJB>(Rkqc;{<Xkyn*V*yB2-jvje!NEB2UJI?U~*E7y_6w+M6(#(gnA0%l(&7zCv
znfeNR$!CMcx?vI9vi>o@vaShK&qte?r&2IFdsQ~8xJ8W7oj2^$NljoW@LjLH{{^G7
z9JTcgT*PkszMLx?&;W)nO=Q7~-!WdP{2!qg7O|IKE~PZOX@Ko^ann3+2j&vy7DiLF
zh%sbTr!{tv;c0Kr@V=>E*l)j>>R8?-Y<%v{n=Dr{q~_52HM||b7`o4GoO!&2O^kP^
z$@Y?fIZ1Lj$9fo3tXpypa9PH-C0|~&^(DbmUKT00`oGxR&_5Fmy%j9S&y$XNmI$F@
zdFd|=#;{JirhqA{RgBN;-xBE(5tQA2uB87rfz`$HWirIAVJ?kwuC3fe@aQ;U?=3Nn
zot;|14lb=@CL06WZ}zLhx60hS@h3BwR^hJ$3K^T2mFGrI)KxW5Dt#pLLwpXK(xhyV
z1Gll!9YrzPPpZI^*j_apIggood1FV7sGuXW<-XM>0nTaVvV7Xz&42Ruzgll<z&;H~
zx|<T<=~L<Xfbb=3V8xH~dI1fToT8#SkfH)NvmlU7WCbJpov!BRrh{4w@8@nK$}lAO
zPO|^^D%QkW_RIV+J#<g&{K=sxgMUQVL(95#tVCt?t-cE*JS6vCIJ4Vd4~eongFTy=
zxL-_th#oT()`^Fy@hCw}cO7-2=nh7cSKC@`%L-TGbH~lED}u3G<HxdEDxl?<uQ{2{
z4t>*q3-{3~!p2E!Z!U2fcyaG&Z8QrPB=Rl3-npRw(OI~Cc^WOeeA;CEA%Gj=@SU4_
zq6(nZnGya+g&yoW_q4}O@IX`kFgM3XdEmIx`+I7f0r=L6{(Vg5gQLT><a#f8@W_a@
z3i`nW2@+mf*kJ(>?P|2y5SE7mTJ`tX2n!s^QU5FIBm|<abc@%9<e=H=!2y2)I{<@y
zrt?`5xIeJZ>1l-=M7fAoOBZm$zSYc*zD6-PFn4;2_LUr@+}qS1QR9aH612^OoFpJV
zQzoOKL=J2W=nN+cc);u@np0<zg3K*7!56>efF|cnzP%YAls6wzCSR2XiSWlkYm)MC
zkNR_|7Oemr`_>pFDI^O`t6`?EZ_2|Z?)F2mqk=G;l;>JhF9%K6yV)*FDZs}w30~dv
z!f<C|OsM3J0&L4ByzCfLfLB-9n(gGpz_~pSs?RGy)T_5oo5mC&k;~uN`l>kmTP~#;
z2~h#PdBbPyO3FZeR3la_MiL%H@fZ-#se(gG->dAmDj<)4HI?X+g5Ey;qX)04!__M^
z5s3+^@T-s1=Wi?n>@*&C^S%<nCn(eZK)E_tZi>_qie<ra+B`V~CxLo?{V5?i5{!j%
zN_&yzA>qw<aeE#ahQb#TZ$Bgh$9@{aq!I-XsjOSR5uyS18t!`!TWZ4n{`)2W=_<ju
zdsUP*UQN(kctq_dsSTkYxO+L?D1$uJp}=ofG(k9)$@z|qE);iRw{P+gz#;O7@Q+uT
zfNAAE)VI<HqmuctHwRQ9)o;Hy_iat!?P#F?dBqTt9SV8vPN+c^<#wgb9!-G8ptA&I
z41!E&s$?zIVLHa3$i-0u=B-b;a-9RH$a+oq)vpe9B3=c~L^3#|+jJ4pCeX?^r+uEE
z2x}i=i+n#5VWuThhc18ugawPf0WKn(`t3Wh#-j#1o*!(UshPqRng)KoFY3@wb!cbC
zLK*t56=($4neOt#PuG1c>TqhUMfm|m9*&i{*!YsoAXRQnX^UD7jvQJdejrH$=azg@
z*-0~awSL&8>kR>tX&>ihUJ!$yqvW*D5oYk`sG}@Mt3bM4g31&pKiutUkj4(0LG61s
z0WTjVps5|b#rld3>^o?GeiAT)dK<E?>{SJrweY!ndVmUIp1m4~Ej5KVH9LaZx8&f3
z^I2~<+es|)sq?~^r76^{i24~P$p8~Mt2DEr7T<ZhH}_s01-9naDi5Sd!JF#zJZXnn
zyfBjeq`e6Rctei09<!E!eOqP;BE{?Ycl)XGoDvfV^=1a$G*NK4tqjFLjXbR5YIjsj
zK+?%RsfR-dLUSrUec+};oDa3=yK(`XeD55+UBw4w`i;~Z+w>^bg3$F@0-%7Bdpqkr
zH;gUyL@??wBG==L%*G}dM8BV<k8Ng$j`o6Sonc1Ae4;(I$<7!qK4KcV`H~4XqpxLa
zDKH_Mkk4e-V@A*|X=PK%NC##v*|YRgOlaP=#p6MoA?#zn7hU{f2Ww+tDmgvQh*mG{
z_2qkK03}?Lqk}T5*gWNKVq7{SdS1|+BDUMt7JRYKt$gROvXf!bhslh{{|?PBS|xqJ
zn>UT=KaODM!Y{5SerG^V_jvY-2kQZD6Mt`Os1v)y)LSzd&Vb_e4#YNn)&=B1vVU-`
z2z#;c?cy4N0Tq<5t6%2R1<#b7v@+d#e6lD9^INA!eDx!V6~Q`CG^oGtjBqc`(!CjS
zc8DI$yb1~z{izMN=R}=VS^wf%lZNchWAw<{=$akHKpV0hzK1{Yo5Z_T3%|N^FrX!x
z$M+`+w7_7Si;DB{EFM!>_07qJ0dXHB2mcb)f^f0_;;j!X;MzutGf%!SAhzCr8)Ipj
z&_$wEiRxd%`)+JsIOD*Gj*M?uFK}tXM?D6ocQ&hdT5-gqZU!ba6>!P%Z|d&<&UslS
zm%EPZoSPsI4>2JHyQi-2gf-yGpBx*LnN9o+yQNae2s1Jc<IM1QMuxI4r|>4-9ej99
z;`jqzR%9M2YdNb$24Pm}{H-b~^tXTwXFbV=g5};WoNpvS!NPPoWu6+D$HhMU_>Ud^
zTN>aOJx+pSb>CPAlxb0NM^<)9HYcKaYsj)qPlBn*1{${zIz;>I?|YvwT&R2?&Hhj!
z5mHPmR(R{_QK+46>)%FhbW#0-c!UcPzN+7)_R(TQ9E19+@^d`M;Kn1%0><6^dzBP(
zvy=(l@+oS#Pv%1{>s|}*qSbf#+(EnPAPX84jZ1D!;YVu>DlY^#)!_cE)BaupY>3!K
ze&EO@i1s!Ve94bj17K#Ch+ASuEDKv-n_ml|KfYQw8|BpC;>y+M=hiq8B7M{T5h8*F
z%to6O+Esx~#x1#ohZ~)K-JjRyDu()&>#+PxRUmOOvs)SSpgj}ALZUw6C>wPeUkz1-
zY3i88^~=2IMuz2-^<GI7DPgH>aZD91RNoLX@8v@>XZSz6MM$C9hU33}g{gu>=j2MH
zg8<ro=+&I_UK+V=_UPZrQ3aDbwe{75g6L<f4Q)E3EaFMt_lkO674-8WCwCHsk^Zcg
z8{0`a6yE<c$1Fe%jG&+CwTmdK;Z$H({4I~rugZUKSa<Vo>s4^O!5+jeb@7hiQAISg
zrR+M`rw+#r94M`Z5=gtPpn7UV2{DBo8?gu_!p)!w3y~L+sEs+f)h|p1(G30zCGe2I
zZfA)9>sKlC>5tL(+Rfc0cVdmGZXp4~!=AW1<I?Cu^R(Kt3u>t7j?#~|*Sq;m`7KDp
zFN+YbTzdbIItsM3s7ZLE0o;q0zQty8=($a@VtYCf>CbgrYW~!OPYfTOL(a&fv6p6!
zLy{z<mi0noPCy%qjW2PEJXSy%)F-g;BoeyYCfn(KUI!AJIUePIRz#YCE#;;iBxDpD
z^x0=w7wq#3E?74yA&ax?I<9jh^fu+Jb$gsX$g_KEW*}umJVNc3*G)oCeU6l*${9l0
ziSM^M(^Sysl512bfrPlsD>^g38UcNu;YN@#0kvuAI)%}Y(BcCL%~OXluot+)eV~+p
zLi8rO-Assx@V-Q1_%y&&+gH!TZ34=NG3tF8YRFzy>DxPT6L>tg@5o1HRmA3_5w+Kj
zfUKztDtSMez@|oDX<!!tZN9eUDctqSojVgfe%cf`S8*9#K0!c-jA<uMFUg~8j$u|&
z85AfTH+~^jse+=HO;?@@$fCB-4O!*8ekYuHT>k#BGJ^8R7F!)D6#DT3lfeoF%pzZs
zG~1QXHgCW{ajzJfb1yTyvqpio<>M=<j}%d+?fy2(BSECQCf)vMfC6~J>?u<#1@!P2
z1$}DaK`w!czO-*BU=-CesPan=F@Tkc2PZrFsKWfb?<56M4MX;^dCH>C^qp57@6#iC
z+2CIXg(whQXF%ldmquA(&{=VF8<&6AQ+lk_1nhlh0`GfBp;gAbsdBDGJpJ*9@Hj^k
zC|Le`sph)`>e+g;=e+(XzA)st{$T{*Fv^uyS{Fn8EIeG*>p$_;8U1>XT~26z(YoYi
zA%dtnZn3%)*<qKkqbi4Yz0#(#{JTS$AaZ?cL}8U_#ttMee-_im;MUdE_Y-dXXoQ#5
z0}txLR=n&_{yuCB5w}WBLlk&X()PjBxyav`*GA?M%XlNG*a{D+l;K8a^d;-EO9wFT
ziT5><rG~(<=TaW=AqNV4%e-@MYXD0QpBQPIF@TW2p`qz^tZ3wS_v1qQ0jz4snEEEc
z02*dr>99F7A&u^Pk4$^}FhXhMQKKMzkO*=rqkBz{{>wPR9>Cs%-R!vaul|D`xCkcs
z?suU@#&x+H7BTIZO>w*XHoYE9U%V~gXHJb&ZMC%PBU`Yhi?-p}Zn~hK{ow4r>217V
zP+vyRt_I^|6Q~U<(gCk5tFzN}8@PY=wan;;C75;cqL>kv4#cnWPPFi>;jsQH%{<!`
zbKv2LuMX7)?=W)rGqj95Up5ek?R$?)wFY~3bZdd5HZk~1-6DRXx8Kfr`75rG`8vzg
zTnp^1qXo647jW|R<(H+WTkvKc(aOPhn$S90Vb)(ghYwyGaR~g;j`!1gJxEa0gaiX&
zvE$EY@t&p1$HMZzaHD^E?V{Nlz|wxy<x1)d-f`JdQblh77gBb(6CtVr{&~h{4jKK!
z$9-yZXMPXi($BjDFWo1D+}?r?XX|O)gR4T6_r_n`bhP7;*d8))b6wpx_;L!b6*yJ5
zX*h=a-u~31lS=}EA-7?T&lGNUqN?i&)g(^0^q*G+fdqTH%s2RsP2qHP<FesB)A)7c
z{PFvxL>Rnu{Uz7#o|nN3)&>5vc!ScJ6l6^VPLG?yV!G3KYjDM|;qn~*k1^8Hq)Z(y
z_);kq(Eh`pJY1alc5eaCG2Zs{7*&JwB3{0-95eW*d@0pH*Co8Bh(5GlL=A>F6+6$V
z%;MLl)gK(ySiza^HvbOY<>q#HT&yxPi@!22Kcqok!+n$P3pl3}K+G;YuA+4g_hAd=
ztU9=XuZ=)paE}W3UUAn_?VQI=-@m(V@L~%;FXAWLEUy9+f8O!`*;>HYN=7vKg{hF|
zS@z1P^UA<d_3+Ajt0kP$Z|iM#jv8f;31vNKRe}TU4LABrmvI&2=G5V38dRbzTJK0!
z0?SpNI<^C=xDp*J^QlZaR442e(vztOJWOvjT}9UM_2meITu%mMcjWB-C<aB?G#ekV
z;o9X2`Q#rNPE4o=>$;j5sQ`0(`cBX2ZR31=w}f7Vvml%1y#;xz@^IzsnfO6FD&*x7
zd;M`E8{+zwaMvhW9$XIC{_%ZCjf{>qRKy?RM9+_o<qNXQgD<OYr3D8q>Pn^*O!IQ1
zbc$oWaGo6eUDIq%$)!VW=W3*ivUpIhig1$qUO5=#b6vf=d!PB2fQvbM`A~>Z#eL$2
zEO6-7EX`Xnp=h?zk!eW*B*oa8t5GHkp8LC(u6nYdJ);s^1JXh$>WRCE(+ydWc|1OJ
zqL2;Ah|E(rI*FhZr>2bl6S7du^N5RCjT4DZyz`zY5koC)MN1F7WMSXs{nx^mxzLX*
z1{T))CD2}-t+8*xvQV#D?Rg}E2lX#4%hhs9p>U<}aOW&p2<-1o<`(8d(SFgXztg4B
z$fCQ?`!QLdX8D-fHo%V#2G3@P=*Xf%K0gLEcR4UAayVT6T@Z;eGTFMU$RQyG`~K=R
zIVd30mfjc@MmzteJWu~rKt6X~p4{6g4?o-uzQ-tup#$!D!w2e>P}*Afx<jV|D7$L5
zlQYDTcB22D%{CR3d#);jUtS4HMA$wgW=NuFOC?9+Sykl1+p1%PltJ~TN)&ln3dvu1
zXs5wUL}r8jDEbuvKHPJ6(esx<J31CtzXeI?=Dz)ztZQoUEh&wrbX*qcRhg)zijk3M
zO!}1PPa=rQ33i7@$fN2@S5ueSHIPVFM;-f7GV~Qqm1Qw0qPs3lG^+y|h`{-VcUDXj
z$_|NUe#}%tsYT*tyf-vaf2B@GJG(YSaE9c@?omPF4Xh3GtD2}?>>PuEiY^c(%P7LP
z2&m79LB~r*3tjW{#9y7%2aR6ptEye9=trBk-=j@U)JLT?a{Y@TJh>Cp_G(cLRfw40
znTpgzj7ClWctkO{+bUq3(58-DgQPtaA8Mdl{}rFIw*Y2#M;1D@h^XykEH30tMuly&
zwfvPPa80-Tq~Jj!iod*4BmR?!BC|OlvzP)!J-yA@c0^=xtVCmTOBKaOPLK<uOyO(p
z#{~|4A{v>s(z01lLKzyG*9~_)QL2BByvI>>q+L*IfxVMMf#(o)Oq3aro>t2*8L6R(
z`qM>1!BXf!nw^&UYcr_q_?@2FN<crq);@XoR0J`|u_<Q0HG}f7b?$ye6*MVusEo43
zgA7%1UDX?AAon_4NqD~!azi~80tQUzc#u!^Q6n>m4Dg>+JfMIIhGxbilUDIozAsAT
z4paC|U1NRTLJl>>ZWO=E`GK=qqz6X1n}VERToh452K{ULR2?WihPe;atedt`!2K>C
zbAg-`a;H<6dMdSs4PN+bbKHUgDb43z@82hmxW64Mc1x!Q=j$eh=Xd>-zU!P{(M1uI
z_&(?=^<H|AiwUytQZRwu=0{Jy4hx_Kf%*7f<BZT2+xnm>3*gJYL)}Jkyy(ftzHN`^
z%+PU*=_V2YxQMh;Do%2tOK-k^7B6Li=Ttg7;{*)mbKh0f%I@|uVPhlPloi-Md%g44
zHHM<|7;oVsJ$f+OXd!uu6>c_`c6aPIg5?0Mst^h_TD#4?_p1{tm~boUHHR7kGq1^f
z497Y?#T-h|;9`aAOEu5#WE;Sljl&%e!sl@(v}L1R!U8%+qFDpF^r3FJNjzo$C_YnD
zlppEL0xQ(~>CwXaVEZ4h8@pu(-g57>g2_5FDAt~RBIKh7*_%wabQmw=Q4Dc`%P*PX
zh`QDG&3C$Bbac8xh2|$l5wU;TaF!YJ&AGWu*>%BJQFcbdd<a_*<t~*!!VHP&PWL|t
z>cHxu>u!(LC$PCd*$%#4_vigtzmndn4SQFFguC9%VvKK9)-!G}gGjvY-C$#FNUt=b
zvD#X|QkN3$|7&Lk$_Hj5#~Us95Xb)^lXV3vqi;OiX~hE8VK&?P3R>{OuHRK{d<|=p
zk*qBlW`T=a##%pfH6iyirSRC3P0Xo}=}u)nD`*RZRU$b}7-Th)&8O^O-lQUFi3~Qd
z{84#o{e=doMLA{}Pf&r={T=z0*X(eS&izn~-fr*j_?mYRX`p<8wLEc|1D<mRj-6;E
zgL;qp;k@&-;8L7Z{!EJt;;H18n!L%-e#J6qwvG;}CMvRq8My%su|~A+kRUGkZ2Sjl
z1|TQQp8q?~4Gfcvr;47C;L_JKT#X5gQ2Z(R;D0MT;A*}=F18`TagF8F7CL5F8Jixm
z7UYA9kG%qf4I;=+{T8=PXMy@ZcUNZ}`Qd5o(Ehl$M2OT_*~l|wgSE%b>%R&GKxgK#
zu~`ri{xnMaYf^K7^y|K}`(%XRjKcZlHBBN+PU%r={^f+62-4TMGGR!5KE`~AmI!@v
zp&!PUxM1Gma&K{{C}@hsZ67aDhne6~UoJKtkSu)A(rLQ~iqcw3CNHSNu|e(IH??`;
z*A)NqM{5Z<GiWa7@1hQgOb0da2tFu3VLJZ%og^gY3s~;6QHRTPUdwaM{P3(VZOW%Z
z3a&JyGkP9Y2bK&~LogBq7GCmo8fF=A>F{ZMb4wlcQu8BkeHDUF_M-v4HnK3^xp*SC
zUmaeMZX7@9Cjy1veE(d0C<od}9MK^JBFKCr2C~YCLC28)mC_A)5Ose?R*oiuHI<Z|
z;OZV2tVwdX?4t;Ejw;GKBSc88P%BIOD*>PA98*5FD8cO$d|~tcBp9PTs@=ON2^=R3
zp79&2K#|^M$w_)LU~0EVhp41MX)I}I=_vsM?YlctaWdq!3OtzNlL7aE8;5PTRKZPX
zwp;1023+3%=cJdKEEI4ietcx44kEFCs~r+G;n9g1x;bk(IL#S|-Bu-nW*#ZNB}WSs
z`_RyJA9=9qJu<)kln9^4$DH>6)P{?v4mn#zD8R4u|3ZIm6QSSP;en`xF6fc$b+e-s
zK|5J>a#)iD_X9q1E?m}wWy%?a!@)}M*Cb^Agb4{Q6i>YRJFgFv=eaw5dzIk=(Td@b
z1PN?!hfTSiG6Z(kL&@IsD&UyJ@ldmg2-5*Z8AhW<K)mX6!Tp{JJiMLlHDOMKV?RtX
z16(lZ@-?pSpdvu+GFDn6st&dHv~GzW1ejGbW0=$?KvqOsUg>^SpxJqEzGn%bV8oGG
zOqT#uJyF?Onkta!TVE4*(FDX99a9Qv2q5vBYE!635jYMWFTOQx0t^%T2n`u3uxwTF
z>WH&Ecqk<YB~mEBw{D2Cmz81LBj58{xeT<A2ew&6Qs9380096043~F2l@Aog?VU|V
zxVC%U%f0q~k83uJjH1j)k|IR5Bt*ZGibAp}iIP?7eTjyMjEu-0k&Lp*&%fudbI#|S
z=Xt)xpLZUT<p|Jnr&nS`QWDq{?9#ubQ^E3rEP+!I4_Qto3-nrI;Ht0|mid4RVoTO%
zcG(r6*W#<{pCBQaR<qe&i=_g?>z<!U9ddBM%8sy~pC1~qgF*DislXMa7Z4XC3*v04
zW1r->!8I<kMMIbho=yrKdD1e#8C^)-@MQ&RQRseLn<41N7e~uCNI}(|^`?W#^l){M
zaa|_Z5HPy9{47^V$SNa?su}MfioNtI$M+k;hfmEuPZ)48rRiiPZ?b}H$6tSRvJ${?
z=FSlYA2ImyR4een=se=Y`uUsN5r8zwezBSv5qQGlk$zWc0*ML2hZ=oEAkuklbT>%|
zs$YNCSd|z+dX+1F4zC%&S+9(*Z|nrYLSUnlVBUckYUQY2!yCY%krRbS&H17BR!4@R
zeiP!R%rkhyMIWB_Fx=|(;)U&qZDPgpYed<rO5=OF9uSz`-Eyzs26M|deg?XANaKo8
z*;bD(^w!3IayI9Lh?M)M6OO$_6vw7tY6<H??2_1S{S|iDVqI$<YH32UkEbh@yXye_
z-kj55WralU^Y4XQT9F@#yur@p+VEG6nLmDj3B*_0MzoJ~A;vAjrAl<#aAkJo6U!0<
zG(9<-&^X$MSbaJ$NOwXDzS#+k{57KoUvK9B9&Y?VY^zS!y{y&*x0D}mV+Lqp@&NGP
zs2f9`iH@BS6Vik$y}4@i1vJoCx6e0KbPAy?R{s%<(tyUw>F0v5i`<km|LK$Y6Tyw?
zv_#IR1Bsp?Z~X2KVzjGujb42onJ<}2rW{v?gP$U-KN)Nz&8{Ton}LgniCI^GK#Lj(
zT36)`X>1`rm+o<&c3egdpQ8)oHdKQ<*~ww+!J7yRL{qO@{6*rp20i!HtHK-p#&^{l
z8;DPW<klgZRm9_OVg06#D&R(jGDBZ&AUHqfykehqL}<Idv*nEn*ee7LoT}PD%m%*N
zkTW)s8v$3o1{$lt68G;;tLY8opz^N7+Qc@ZT2eo@@Pz_vMPh<o7MqA<H`~S)t6k*j
zkek20GX;(Z*?l5SZz6#K#tQBWG*G>na@BQ#42^Bqm=3<!LRLw=$61ch!6syyxLhN{
zxtX$z@@LyfHGNp!J&Yc>qB@GqB*^e^_@Z;-;104nh;E8nGlFsFWmmT_WyrDpW^!9^
z7g0Tb@73526Hpk97`)#qf!&wuh5Ni|;I#Z$n0Ffs$k|)q7TJ^_V=+Ab>JeI4ou7T?
z*~kWsJQ-5Q-AEv-^IKqauMfG~6Cs~QIN;f#-{E{H5$H6=Z|C{YL-tDT%_brjeCHmj
zu8}7Ki+^)vVle|0w4tu9J>2mA`(4wu3`KYzDOH}%$OI*Mp_xyWd7;(LS^BB4A|y{%
zj|n6&L(nCS{>oxLxcT?`;h_Qoyed2N^STl%__=ne{6PeuLcmV{y*>f_dg30{{9^-2
zDId<2O+l!c_qaSfi3gCcxtF=g0rZ9I?#ADRfYK+%K9h}y;Ia(FQ<e+fSj00qjf+5v
zbEDXz4<6c8lIYbMxIr#LvG$gL7z}M~TYDbC!+|HW_mkOp!A$P9=zO3AL|SEM2%F-;
z@{Y7zkUt+-dS1K0N+SusV*YYCp2Pzhpx2cBmmglPjgCe-OM#PY!Nb{Gc<?{Ikd<>^
z5L$KkUpse7!{3ih*TrV=U}xo7`rTOw+^~EP0T)>)Jy7G&>P>+Ck0pP&nTUW_xBMdP
z%0cJShgXjK6+tdcHKfJr0G!iQ==G~q00p_M^t=s4Fq7pf-4`hij9TY5hl2^ACD4;Q
zB0z#`Z;LNTdf{Lte(tb}F%j%}Ji0>ylz=@~-~7cxNzkLstr6o_0w2~wi*7bDScvn<
zT^*MKlc`ocg&}1qGkb54LPvpovqhj+mw{`%FGcD;kztoIWAH*s1=_Vc19NW5LYVg>
z1)IAR2z*vGb=_ALynVDL3g+Y>p>Q#P%~S;nq<lZqkEns$Y@L9FsRB^1LB+!!74W{g
zM5i3C0UfqIQ{U6@5On8~laaP6T>s=1-K?zz^a+NeVLb$xz2KF1^o%M<J+wqV^XovM
zu-Ht&x+2{F@~BwgxGJ<yS1mZx>4DD>^|#L|5q=+Z*XpEI1v#-}0Uay)AY<$m-_}He
zmon#GzV}dpO>DPCVFZD*%^ttKPVCK37jcI-k^-Dt9XWA*0LDfA^$O)m&~bt%+Q^0s
zvNHW&w@MA+c-MnW!8c0KC6;a0)JFp5yT`WXPf=m{qZjvhj1t5Gjb>W~0nR%y9MWH-
z!o5-Z%XXV2P{Ua|=p2!UerT=e^fUthh|G3ZA_<1!;P~M-X(+K7<X?Gg1cO<^)_)EV
z;TOG7Nr62MQYXc`tv(n*lHpyM&~5_UKNsFzz$5~)`x4SiQ6o@!L<x~|#zU>|i5sdz
zd@wB%(CwRU1P10+)09Sez;4do;K}EJh^qH=E4D^3rPbWY!6gUPQCdzP7wDkLj>dyw
ziwYhrk@Z!UG9WvfgdcNWK{OD)3e{BV-ro;xQj(=WFef!owDkv4;KTnTRh$Y{naK=l
zZ8#V)<`LMv)Pnv<GaB$KFa!xn9ie_raZm|*5}(^Ojbb!OFF@W9F3Az@?{0{|+JZef
z?%Xo!E_yJk<S_vCey;=Z=YE*})$Q<~%o-~4KFaSu5<v11Gp~Pa0&u@yy*bKb6IIEV
zk?`|Iz};0L;ms*tn6A*a)4RBh-s<3s9*;19p5oUbq2pXY?<OO-b8`pv^8A^3^npIu
z@sNE&{MbQl!n8ejWe1J@rv8fKtscmfUmA$@Vg`>l+y>vecTn%i4<Y;J_WTi5gZ_8)
zU^VP{U(0?6P1X2unGdH6Jqd*Hi&tpC%;fsL^Xc1Y^m2{DTPGcO>v(l+ki3OlF_k|&
zP_>2XadGo!=V-(B#%|CW-71om+}?1ic@sS!t#%3Kv_R3{Qjp}cga|G?J$UHb1{&4=
z*h@oC3wmGElnRv3B0SMnRkSPXsNomMHK9A2V32>ymN9f38CKnP8YZlx1?73d$qO1_
zv1Y%1k2rvs%zgQcMy;XYulvY4M>XIC(`mgUFWQitq~eBKE34>;wpPPXjXI1N-D%h-
zQi(8hnNb>2SJCRrgr^$P>X4da!PPuofgaMkda}%66`hNGpuu@Z4HSmOB0{o1qPxFh
zk4~AdqGyV4F{(4Gfv3Q?rlGtplrw~0D$H{gZP5Nih>cbS%Y{e>#^VEMxF=r^{^=_E
z$|}jKb4vw&RcXDLFd0D~v`7=vaBHajjR*$j2o<nA{E9|Pc^pl#`90&&xQ4nKRcJBM
zsDQieS)HN3lc>xkTfAfHIx0({_SPj(pjfboRwRE0<@51Ty>xp6y|nx1Iu{=WHd3W)
z!DJ3yC><W8Z`efR)*G_dbICB+@}#|Yavo)P&2XbkY8!QP{Kn~{Mux03AwD;=MU?k=
zb#Ywn4$6OF>~P&(WuP~W<|r#zLceNJWqGdcqQ_=3?`C{Zf<_wS6g#dz=oMXYx3Xp$
z>`%2tYZ$E(a1eEtUM2rUtCFuuhfdRCv@|xeUQ`k+=88INim##r2F}tuczR6v)mT7C
z5)uA(kGe~LUPD85!gA7YF<|1kTsocoict5X?e)*J4OG2J`PG^T6ZSJd;>J_5A{e%d
z1@Omjp`RRw_DQxgV;(~v+AMAn;1^0TI`MD^CD|SMeW9EcBd)!C#Jh?I!bJG-($QVi
zy-<2J4Q0np*=CmbpT@(Hn%-1#A}yB7n(*KWJty|@&^qtdkOJVWILZ%QrNbBsxiZ*+
z8w<OoJ$}Yb0aBh<wH@4`$0mut7QSZjU}^!OMrrf%puaBkO7Au!=4#->Q!T=W$z3=%
zbuV5XI&a)mx@^gewVccsIakk*aRzAQl@sN`7~wn=uf~d5Cb>Ooh!ezI%f;OMM&;mH
zv@4yQ89V0Uc)Bh#SO_aIDhnzvk^^F%=?}A{ec0XEndjf{ieQ#)!>0<P<bY|Y;u<|I
zH>TtEDC_Xp0nD5jx3F+d4nzmOw_7^$V9DXW1L5ux*lgv9ZqY?KAeEmm!gugudBG^_
zVKzxDyY7O+nLBd87gdv8euf{LEDM=SiIT$pW79lwwnq-CXhm;LN(y3+f=-Qn-zS3^
zma3nR*OP}zYg}s<jS$9r<rRBJjVyK|%_GC)i#)V+dnws5ieTf-X~V>Dd93Nt{QCD4
z1!$ezA@8Fcz?L5-E5_O5vGT;K_matbxuPiblwh1V7Jt>SZi1?aoz#9FdZ~#3>J>3v
z6Hz$KR!rh^m_7+(*WK~Hw&&0PF^X)8f04wzj_y8C)K|u=Q=VQ~<5dEEf_VEXNgBIY
znoyLHNyhFPzvl@QCBx0H%J3vp2HTXbp)TE|V0Q0K%mq$TAe@IAO!?$6)e8)_RsB`4
zLV{4GR*MSsZ-m8#-jc`Kv+9JesH<Yb>5QK_&#Hk|N1T5kD;~Qv5f|UsrHWOw&Zk^c
z*MM~TWtslV1dLQ(GN^>8Vf(GW;-3(-;N^XH#lbE`>_wTvny9ZD796WaqX0U9wj;xl
zTqNw;U8f)Wt<|uy<vJA>A3Y$66~!{+l(2U;7G#ZaRm^PlGEd)q17ON>7OdS+!lZN$
z6naUjVl6C0K}BbPLH71{*|(LkB;C(4Y3wT4K`&=-2WLYlxbrgY#t&tzr0i;oZ3!7m
z6y^RWVMGPH+}Nz0eq{{jj`NRXR>JQ3-7Q2JjbPt2zh-xgGIqq#$;s52fIa%dUL2Bb
z1l|{IE1J5LFqQLeldnVNu$#~I0bw-;oog@SPWF<p<j-zn58|b;kY=l&`%R2NMM%0J
z^9~V13YGRX9}~lDRQ(l}Y>nZJ<#MSBpCU%3qv^iSCy05;oXNoJ7{j)fChg2AJl0<G
z=27-MC$>|wLu}tMg3a80<3oG<H%K&`uc6Xot1*?;p9+m21-+W=RxFDt6|Y_Xp0tcE
zJ=7rW*ERyZ^C}<TRY_wsXO$Cw^uI;db6CHrzNNy8-IpA5&61cv>{X@8ttsS*-(g&x
z4i%^rWsao=2~2rn{lOgVDx$3v_mEs^2;5CqTU`zuz>fXPNVD7AL8?c*eYh13p@VSC
zaJx_ldqQV=@W})%7^}~@cNGATS*Og*y#%oRE2D9f)AW!^6J?5%0;pnfv2S<h#au*-
zy;#&3VcnMeYR(LS6P03H2i3W-l=`D_iA#(S$4yFqVs8Max)!wRCD||<PYL-1BPJ+c
z^kV*UULVZw9V0WvGh*!-nID_Yn7~+c@-ihw4;Y1B56n8zV*kQIWLE^4VB4s#-@9HH
zn1)-Ygpn=uMf}qy^=3v`YmDU@Thak<7j5#+o(}t-)6OkB#R#HpIilOjIzU_DzSSu{
zk4l{y|AyOUfSi0^ZNXq|NR)ctcg=4Mr7YPO$7V8sy3-lv2k*2X<z>xsW7}8MOfk|l
z)SLmH?K>8+wO<QHK6tfs<RqerMeeelEDV75l`}U7XaZZOW0C)6E0VoJ=QlM%4_VSV
zQ~z~oK+!nk?F`L9<U)g8!eSRaNEyhS|EH}1flLlrK{gXeDD%--+X;FI#KXt7LUmYW
zw#ogo^ApLJV5I5iV}K;vzT23fI%x3g6_#i&APu4}(LX#G;NM-B3&l6oK)7V6JDPnN
z$?7>cex-*25*539ocDZr>*%$Q9~}N7wn?To*jYwUpYs*@6t4<@#B;_U{kMw5w_a7g
zEy)C`%RyDWY^uQUEcJzU<vKEU^Zco;Js!;R^BIb{qXHM^@@hppHxb3p{hD$#EHHM`
z=5!NI1!ip4)wP$m5!0lebT2$BoVf%OPhL<!YCK|?Rdg2-V%3s47|sU8Qc5zW2PyD{
z!zQ}pF%A4SF?sf2jUAj`3-&#qAOpUw^}YL7S~z=}>xg&GJ}660%HZGQS%S55L=-bU
z5DzetIWBX-$$v(gxdbvyPd+-}XvF}NEjPqdF>dfnlSm+!D#L*jiP6GO8DViC_|BnW
z9&qk`!GD)S87iz|k4)g0A&X|qrBRp<*lE1-C}B$QGbmkbw1NesNU}dmF7gBM$l~hi
zUlK@p|Kdkn*}$HBZ~onk0HoN~iql4sz>nQ0O;ecz79CiMregMk_2WX_d_fYBPo`j;
zGMu1$Z}k48t}x*3Y<VwWL?FMua61vl4JGlWq<B$Lc<#KYs})IvoA>&eJ{a?Ww`%N~
zx1<=Lymp`EtcXyO_`KIEh8J|sO~%YyN<dV9D_6A^5gb<o>1ccSApT7?PeLaS!rk-d
z8}x`EA{qQj$XEa#8;@xV^Gd-gMC{&hAws50@(+%7LD+Gvci1{D4IX`5j?KA5m^_}?
z&k!O6De8O|1KVWa@mGKAYiuOw=_!)#(-VO?mOm#1&Ez0vKuX^7Aqnu>UHJ>R1K>DJ
z#@+9b2TRneb;Cso-sS1p<D|tQ^)CK)nin4CV!j^Eu~P<%`4@qRBo3OS>-pRm6hSti
zE~wg&3}!W4)@cTkU_cb}dX-Ov7{gDN%IjoU<ZiR)@|FVclTCKzdP)$X-Z8({PJtfd
zc!i6Z((w9po3wYcGGwwyIDXypDZ#&zV$XYIz{Ex3InRT=+_wDjOzlrq$jP)x>gSb%
z7usg89_vux(?b2j+eCFZ8JEVfZXpl1#^zsaq7-Q4k6&)PtpV~ryBxw-6reYJo`1ij
z3KW~-GkFBHz~CuO$gx5^yq&s#S@f6+JS}iNIa{d>IuY-zcV7^o3&%(Pd|U;_Z1W!#
zdFX<^ZkNwst|HtFU6Vhw_YV_~--)}4>H~ey1G774iQr2YAu?J@f$QB|>WA75Af|Gz
zTAGdo3IeA`%Qwhy(DSyqoHhV|eaKd@Ckc2PRCS3QWZ0T!^uM?TAS5-?wv<GI%_G}v
z8J#4M@f|%UTw(}wMOT|wFOs0+*PQbMHAN_hox$DJrox%@SaDM!5<Cydo~1da0AJ)f
zJYJPjfyLk0K{1*L!=tei6-Q;EBBbUlZkq~zF~@!UpD4obZxcDLMpE#8rT&{1!3Zv0
zP^jIXLxA{Ww;qNjiG#xL$5IBGd;FOAR$}@L9+JYh4S#+Yg86c$)t|CPz~zys)WfC#
zG{y4cCE0vHxpzi_eUl1``eakz)V+JUa6i5D+dg<#aIB28mI~n|O9~n+vT(G9-reaD
zBfME#JbcTO3fIl4bOx8CK|I3kzg2@BB;R1<)jB;Dj`3{EJ|C5Y?#ZueZ?cyVpQF1D
zrWuByW!<@*V~2xI`lC8bej`ZeudT2lf+6s^Y3_a~76TgDulVkOCx}wyi;n180ME9Z
zbCMrLU>c<`L@9QmSJOE9txNzWcB5*9c!c06ZNR|okE5u|wcUk=LIi{c$te~I0>EKT
zt03k#jnXM83uHDKKxWxMXE=!uGThT|H2s@Jy_$@i9?tA><?W)1j|@DJ{^sRp%h6wG
zS-05RLSB8KD#^5ni*Uk=tRGdrf%7Q-*UbWHBRzPRZL4FG#0Ivx`Z>W2^XN#>{u=Et
zT@ahQx_ROlGZYp&JFb44LoaU{6!+HXK%+>WxP2%C3|clMluFK`!hO6C+qSeJU{|Z6
zc%BxpGp%pGaL=H9`x*5IOtc|0R{CxJiCtuUaS-wOFo{+$ZytYnPYWg==h+?g+(Q1V
zef_1(Z5-vh7-_~crwJ?t`*QdFT0<Ni_->PyMo>-r-JTK?O|aVDnHZh?i`?Xu&1K>q
zLLG<1d^8I+AfzniuB+)XaxWmDHOsXRbt-J5k7m^X`z;&aCb~t$u`nWBdbkVSDGUiV
z3s8rsy4oTssb9#mNO@v2sU2M$@+G+pt3hJXdMc@72Jtwnam7U716ut#zT%#>8u*k8
zhb{k`L`pR$dcV!SMg6Xhb2K-r0$aCClFOrUB#X=5S?5j#+G>=b^}#?D%9nyZujY>;
zImOBtM_M9E7w8lf_F4s&&650^X-1I3#?~*oC-RZI%Vis=t_nDjw#o6wh7i-`Op~7X
zRY*?DKAG@6o!A#)78<Vh9g%qdr?IXSLuP51f^VBrph{>IB9r@(53BDC`VHPAd6Jif
zXFJHi5HpoJV$p{f{0co*`1CWfHs4)(-h~YQ+n#Z3{=LYJP8-Xd*bW4LnQ(yPhcfKE
z8}f#kZ^)59^%kMTE`*G<$LKLCLu$%{knm^Ukbm22?Hq$W$d#VpTgEC%Ac0+Wh5B!Z
zzfSb#y$5}W(<M#Ke|vh-$zaGE&e4k$jq83mb^bfT+i0L+@{kBMJzX;{nZ3v?etcxu
z^#>BA$;Q1lpa@>hzhw@4^&yf?%og4CBZxffd(J;%ieOqH&`^1<ABl4KCD-OYhA=m1
zSc!NMAc*g50B7j{qCVwke@S`*`6nRRYgLJd)s;`R?_>s%gJA-Pa+s!&`RHfWml^SJ
zHF)fs^uQ3ZF>$Q&4EGG8cCSx8!bt(DQ05!1ZNmt9X~s;)bQW=`3+6Jem4~*IK^l!T
zqeyj9Mg3gaFXXSae0{x;JS>Gdx)|t>A)GqqOU)Jw$XM9F_MS*N*vb++em#2}VX_db
zv=CfE);7v7#7@hC@12K{;qsG65BKw=`I2R1U9*3n&R!Ojjw^ed{yv4Qg|v-#p8AUf
zvykL2f0O~uyJ_x%Z)XtR(5x!~=Br4s*L_wLkpag`3Y`;OvxuA0NY8VZb);j6_jlTB
zX&4=LpRJLcN6hCnRQ^8MMEX+Skh%4wVM<oakgse3`D_q8q@cQk)U_TgH*S!EvueS+
zJO)chg{3Ofz|Jn>clg3n$HP*9=H?Dgw=5&WC$kO2uhYU#&3_WH1Cmf>D-t>u^A~BV
zVrIta(F04>(|B4xNk|>hNi+3aMT#2!3R)jv1mDQ`W6G?OaHgSIyCZZR(OZu)4^v_W
z^%Pn{_+uPwYUy&ndB2Gmd{&7X31Nl7$;iHo);Ne-O@dzQ9i)b*@|od3c3}S6OikF4
zfIBoC8o)&ZGD~KshCgt^^XaQ5={^#B+^wYJl1U3Hu}t>ZJU7U?e5s(!ii4xXgW8AI
z^uUjI&(g}_1<?-P_N6Fs$XV{CrKmE3z6RApKbjvlFPPG>5yfHZa`1&>GiKoNaFCq4
zDF~eSP~B52V(=;O^1^&7E9i)x!xFoMfEFLn^LkheCUlqWj)-u;ap@0H0Y^ol?2GuX
zfkm-BE-vYE9_NI80@vv`ImAJt$|12zSsdid6@6(pxj`Y(hUUOE9C(~v+bS;D>xVn7
zUFI<_q+gjncUn#g$X~NW%N!-Zy6TF&Y%D*N3eUK|os)*@%cq+UlW>smJDIwXAPA-Y
zgnN@cvQSG=$jBeS!Q3(RXU=bg;B}#`NWp|W&^Mir`B^UsOlnPhc`~BVWZ=r;El2=#
znD>OmkQC@yU&l_PVsMuIZN&RCM3C@Jt=(@b121AILO3%VOn7=!Omr%NnD7(-NIE%q
z68b0(|4|Y|wiISh7n9*aT-YvETme!Iw+&CZO9RKj9bU(23gn{;hr|jAVAu6hf|pws
zcIw23i*TyoDRTQ@eJ%+MH9yylw97&Alcy<ob2a!Cb*NJFCK+msQoLd^6hOvAzC^)V
z9qz#bU-=Cc;JSEl((?=f^6lo{+*8ni$U@gdmCtIxSGOgUu1EwXhZ_6Ws0RF~#3DV7
zHQ|eqUgPV25^zy7d&1~7!7?V4J!M`S&f`*MJWnaZe*SN!QsWwsWNtY0uSyRL)IWB(
zogf3pOh#V)Q4Qz}e#pd_fB=1qNqhhBUY+il)(vxY=nB6dm>^{cRm@X<+1eC%KsY@?
z{G<vo{9Ua-y{WLuaJG)qodVUGdXDdYP@uKxcxgj|5%g;1U#U1sfx;U@seZc3fL8dm
zXa*RAP20mmA6Y4o)u~l{--rN<PAm?p5+;y6lg*KzM204c@Xt~KSqP;cB!?xLfP_Kp
ziGLN!;9V<!NO4>O0)1M;c3zr*@83)X${q*2sO&dYzzKo~{#J!~feHLYN3V=5D8gXJ
zl?L8RY_LIhcg57*1h}4_WSgnR!*QiccNWW65Lz0Um$j?LAQ0$JaBz|bnV?X$Ai6Hp
z$WyDT+Rqq@#U#l4mt}y@{Zp3MsZG>SM%gO<n-SQy#%j+bNC8K=UFem!jM#xRpTa>^
zBX}d!moY@ZfuMFm@3096Ci*cw?7y2-c=f@2&89^Z&UI<*zn;jA9i!RK_;1b-QizYV
z&qeHqrWcl$=^DJ4Vs@@1!O{>u&z?!{yu=5Sp{XM@HhkEJZNWx|y<GGxtn|Lv9$yWb
zS>@rj`LK?JQxzPF00&l7C64B?Ktf>S*7#9=Y>wS5i`fE!BUv_Iet6S?cb<!3<~e?h
zil{u{*yDQYpB|;hH#U&%2$wG!&iq)XgQuPH9@iVOe~k(F^c(pf0096043>8|)qfPn
z?Y;M2*LE-WUVGlpMcEleR!U?wWUu-mMMOzcl!}ldI}+bx7pYWMNLCcdN+kUJd!F+=
zpL3qidB0!p!=KAhqmBTGFqDXBUN=JIvElVX!6C{Mxoh%+3<4l0oByrzl_6S8bbJw?
z*o0Xf;2ZPq<%jAj>A+%ELsVJ1su~+LfwlUOt-t5<!(dx^_7i6V<mE`tJ(}|i!>S5e
z6wdKOyU%)h&l7z#=Uw}trsg-ss;@_KKg|zEqu-t*v+E<5J?bi@Y@3*$4Aax15Pq1Q
zs*h9*(?d>`0uhcAJJ<n^*Lxf<@<Y@BN2}PRE>a2iDm$l42g&Bif0k?bK_JIz`k}in
z5=&(a9MfU|f+;bhbdw(*{J72=GNgkh9xV^jNHf8iktBO7cLDI&yYtWKunv-CN1iJS
z%pj3)^P9s50qFf9DylKBjd~RA4hcSG1@?8@X9~W8KscS^Mwg(CxTy9ivWM7V{B(T+
z7mpAGgzKbz5z|IfDz{w?SU917Dy4|pF9clS6&l}PYM};olJHt37uZ~gD*aI_47Zsk
zCf)tCP<@c6x;BXizH|(`;wweK(^*3@URVnyJaDth;pBynKIv-GuS9{_eaO1{y(W5?
z7!cU8$P1ntY^iV7#en9&I`tD-ny4os)-`v84^o1LGZoDxfKJBR4Sz@zEzY|^?+1SP
zEmvRg@3AE8-MCtOnWTxrqRR$;d=h}YAE-(5D$<bd<5NK8(L@H{L<0<_1VOH#alXh~
z21--jrLp`aqvMlC+h1sff#)zu^qPSzsCVA$d-02m!s1Q}H>ryNL4*GOmXsXGX3(vf
zE|U@KScKx)<DyWC<LCfLK)1i0;>1DArL?siI!#pE+vyZtCk71uT9!W<<w5G%@S`4C
zO=P{8@~u`-0&2C4vK<)}K)5jA>o*5YB(!xncJ!Pi+_Pehd(Wx}w_4OverIYT&K_<-
zsU0c!dm=A9herue@J{*WgeHnEj(5IhE(2&iD9%Di8Rjd7%f~IW5Uz00HHBLi*!xF<
zn}t*WU+nzE7qrlc^MoL|F<Bs|ug+L<s)AmXLpiOTHX1D-lEy0JfKL1%K73Ubntj3^
zkN(s~vT@e62QJ{i?i>CV>QICICNCCB9_pad%D}^62jxMR?ZR2|89b!5NdCzP(nYs?
zB|exdC_tAejYSGK0a}F)xzU^Jq3jy(b6Il=aAdqiDK3TpJbycRyYTwR4VFHAC{zSJ
zNLhbSMF91O9QXTV4Un+MxBVvjm4NBo!8!Xn0`Qld7_yNzM0|xcZa?RhU_>J}lRb$5
z<2#pFvSf@<)YsP^wt|)6SSo?C!$W}e*UZ0<%NV2ILg+Czs0^`Din@oq@!;q8^&Uag
z1bzB%)N&f90{oUMX~hw0@T^U6V~c@;=1Pros`shD;E9u;`y5rF>(D2D#V-`(SN2?5
z>!1n<1*e`d_@@lGlwz#X9w80+h|BgyDiC|*X5HSiN+2Pv8Y=q`q0%b-g<o6BK%e?l
zg?mf^R_dFc7fm5Fnrf)Za90^V@8cgS$IHV=(ye$^Au0;!*PM(NSBBw_Zz3Or$bqEN
z%Ox!xDw<_EA}@1B31-_P;&$p}fGbq?#Hu+JNsv#)TxwB-tfLl*bD~mEtaNHY$&89(
z4K%GsmK7i?jn4AiycjeeTK>jJrlLLCcjd3}Du4vD=i!z=!r*}Su#(`XA||?9Pxj*E
z!7t|~X>N}oTs(;}Y0M&I-@9#p2akhi2~D)AqkPcqwRTpd3L)+!kM%i{9K5`dd$OgO
z2Q<yIFO)^>_P_jeaj&i{h^*LR1=E}`V9t2Cl!VZ`q8+ZiNCs;68K!HFvcUpLF7rSy
z1&KN=l<?h`0_W1^J*SScK&gjr51$?daR(>9KlnicTnjb|@yD4!IpiPbMz#s6FWqBy
zSzH_x&DG4u<`_UdfGWbYVT`&}DE3SLiNXO6t?8qK^l)eXyYH}zF`61zN*~%51}1xp
zbA|Hs(5{h`+F5OcdTE{n_vZ?MkX{(GVmloiN%4^Wz;A@^{66g5<t7O8(P<+l&*;Fg
zCwRCs+z{cvItViFa$+GW>4NVN9jq=*Z|oT~K*2VhSRjcX{Pi=I3=QewwnhD!HWLFx
zdph?*xD6i|@LqYC-$M`bPSOl{#rmk0;V9WJi5IHFj&PKvF+js)pPqz}J}PQgo!vLc
z1Gt->xmhO}f#;m!*RT{lG-vmaLC%T?^goZy-411f+)tY=AOGp18spltX^*+#jiOH{
z%`IkV4f=B1CsG&9he_KTta8Bv|63cggDjwNH%!@bRR>*7c$}twnhU&mm5DmKY*3=!
z-~A|32MMkBiTjFk0ktjbQ)~r0n3cCDKHSnqE*hpgjH{gBR#D^h)q)d<_fpFIQ?*g&
zy$GGibxz1Xowdok$pv>W89v7C`oHx4ugm+DxZvuV%}W749$?FA!LyfZp-;w_4#&rH
zf$%N7%|0()_;&A5le>);;<!3-Se%9%5}gYeg#7v7zrk){*Lh7eqU)EEQOph3jYC}n
z6ZxS?X6WAjYntfMpt-S$5f3!%DfM<Q6M#lLZ1FMDL^O=?LEoP9fY90_QRZKQ&~QTc
zeETXHWxl?%Z=c2Pd(HE0SIl?sJj>Qwrkso{-DPs`{osY+E)G0Lxd>bxyZL=j7#Xqg
z$bJ!g$OrWn!HV%@G1&4GE&OCcM&|zhHT0+W;V%F9O6MDK@ZL~hP2eXZx1$^Mt@{Mv
zvKBU!87~P4t+DbglaP{a)Ig=VAc&Z&L>kyggK=F+_=#Z>Qg0LcOmGkaGs|1|$8X7i
z`JtMI)b}J*s%god5F!k%i&j3)H)Y|Niahh#4<xjvfjj%TSOm6HlH~*L%Yh@-uNpEz
zLgQu!`pwrw;jYWl5ycuD6jl5aDx@VNVrKV|bT@I38eFxJ|0oZul|_^jBr=+=Qc5E3
z>WDP*jK+Um0g43Nd?a`GjgHAKv^^{ZGkWavwsJ~9_b`-|?-dz2X_8yxcch{GZ`+qh
zJ7qAIe!z8Ymzy_f61V~fWkANtW}+%W1?V#N7j=|tqVrZZ0(Nz>(3~Ptv3x@nv?Z28
zZtvAXHo+R~6?f%;w{0xJs8|g$H2bgQu4p0A^$fm%WE?z5Hco7Ow95-gSBHh?+UP#V
zn0Z&QJm}PX9U4m}z{l*gF7|6WNO;&^qufOSjth-;oi$U3hqaWR@+4j4GN{@buB!<D
znjF*AKdOV1QCvgyu3ju(%C_xrDuJ4@sm(Kj23#-5=3UIuN3ZM)&VTMx0`cRs9)30&
z;649WLF47Fel_#t9nzFRe}?bwhJpqpInhn&P8y=re+?J26;)t{-jgz4rw(O@*L`N#
zj8XrO`ycoVRp5<>R5h7S9Ug7iO9bIfkh6tH*nbSF5a?bXR!m0#yDKbzGY|#Ih4dO5
znW)0&PBrfRO=@s;OQ%#o2BAY0MoCv4RH3cx=09&ERmj-4w_$G<LiAp0d4u|@Fxg<(
zGLftdMm>&In=1%e-ea#R+)#n5|MefkmngzPp408?rc^XN`KoU?Qw5S7Rq1)F<$;cl
z-~7#4D)MZzkk6%60gW5{W($>auqggBZ8V>XL@zG~lkJtEqnan@MYRmbg++V`sG%Z(
z!tV63U2gqJl4o*DmxNoBC$<8rsK_mdcPb}K5nORk$O==UpkCsSh2~L_Ea$tQy;%xy
z?%08s9}|Tj-H=>-F^-B(%{qFBoR^0$;&XigyE!&8+dFsOii%zdpBz{^j)M}1o@o9T
zJYcAPfaNy_6=giXU31f34s;|VTJ0J+z{QcO_q_w5`$<oPyESFOtN!xnotG@2`-!FZ
zTMR;7ubv-hk&uB10hjAfgBW3gdZG5c5<&(gS+r6TQs8E7@R#K!9ZV^+{75gLAV(M1
z--f&S>Y!gx(4B`g@Ivst=$_vuD9{RD7p@`(GELUL-zB%PULUjAO*0czta_Y==qUoL
zF2jmd6Ps9+&*nx@mNBv)mYr^UCIq8V_oy4;f3bv}+Xl1aMu@#Guq9VP5N<13wusbi
zU^9KzZ$dSVke=ZK0oNve81I@m&!4q{RZs+9wWk;&`KyG@<rqHDQ8R#Fa~oJfd-Hq0
zF#}Z2ak6dZATP|G*7<L^;xG30ycTVhfdNunYKh%<kO#;{G+Xi?H?d#bq{rX0_0dYu
z%eJMTT+l{xWEV2s!VF(_uV`)Qp-^=WAHn0C@ZhyYbmPi4b}l2os@zu(aXzXOlfZGn
z*1}laKrju&MqbVfey@vO$w%(6@Uw%Ut#ij%JS_+owA;obT@<~P68L?W69O(n&f`UN
zpfpjZK3A=Sb|P?fKQ6Pv4OQ8|N8jk-)Iau-CV~z!$Fjwb3$nuR)vepl4H=>K>z=pF
zPqdNEn;9I_YZfRk+q!2{#02I_)1CczZS>V%r|oVL3%HbZDk`e7z`{%wJ+(>;g)<ig
z9eKtAQKk9m7u#9kX?&HXw}}?2B6dB0^MwWedr)E~9mftMS0?_rzSTtDelKjQv{<1l
zaUfyYmJ?=XUF98pG!f5;7^`kMD=b8mR=65-gT_E=OWYP2X@1WVdE>wapF#+t5k)-k
z&g$v9z+E!hv=N=q7Gj6!@cs`5Exh3E!FJo%l#H}5pOiRH!vWJgfzq*yd>|sl(2o5i
zp}ZCQZ7v>8I8BesZPFBg0plCJX?Y}6$SHU+bPpHA8C~hg$q<Bl?w@Q7T}g;0v#I0a
z18z7I^|7pAM+iPf_n5egkWfu%{mF_f9{7>{_OSOQ5eV+;&rAMFL{d9$#xjAtaPyqZ
ze$!nZiOi&rL{$)x;FCX1EeH6Z_qn@u=5KMZTlR~fNhhM&QkL^BF8pA*HSFoyFA4h=
z?_A&sA)?^5{NCJC0^ooDsNViQY4CFpV5{>cq7w$B4-WSP;mIbCkI#k-NH2FhQa(&X
z7S=uI#lHywYe!WLQCJR+y<<zQ4I-kxApfoNdqsfsc3w8c3<q%=+4O@Kh-hwxDP;l^
zg+up!X}!<NLvnJV0<MyX?w>wsN_7&4({YM!GOY?w&pJ_RxkN-$BhxFkTN1EoEAs3V
zpAy`2Y4>2?LqZ=%A|}Wn1x}7l8)5;w{#0pqm;8)`oDZd(0b3bpcDzye2UCG?^eaAU
zmupFTNwW!NvT)0i>ve;G8jSSCj|BCQQ6fGwvfES+xO-CG%^k)==&|MX{pWY@p=_fh
z)e;BC-Zv(^%O*g-`n*5$K`q4jVEGe=lRPLXwpgF3SBI<&(n#$dZG=9H)6jY<Kz8t%
zy3J}0D0>`D|I%Iu&5u|_`yEvT{g=0gx)2dESVql{hUp?H#+^Uck0?P?CPiN^jR<#G
zlWl8C^$>)dEVpq~h8I<@IaDi%ph_6G^8BlheBB?dyjNENq7U=1z;3-{qFnycenT|J
zq^gfwQ2}>hY7Ad85o||CHu)-zP=$W(QN!D+U~`F`(n=sgig$-yHm3<PozpKmB%%h<
zqYf;__8P!<+PQn(lY&~U?Vp96QiFYM9dVIA2oU(zN!r&2A@d}s=l(a<Ah=-uOrI7W
zoX+s_Z4V+u9E)y@%us`YOT;tU2CCp-&Z=X%pNec7J_ZFlsqN-bL;4L?Wq6vM3B1p#
zhyka&`Dt1eq9)efFV`r5NQ~T?Hk~OdnXB*kYNZOVB95nUI^v*IaG<C`(-b{wY<=K;
zP6djdj5Lq`l!5aczr*`%Op(h!BmT43l|f?h(E5OZBwSjvjB4AhuheU}xF;(C^^BIc
z;D`t;DGSWxYnvi>;_&HaFGaBIGSRE=69A4lQwJpuQ`DJrinCr`0S5GK16Xu<L8<ZP
zL+1}vRJSs66hDT8`}WgW{Jb0x`seN+t4mbmTEw)JcU=z7rmp5)$!3Ds%Pev<22|88
zG1|LsEel-(nlZ2G=peP=?wrOrLS<KC(hoArfRWo7ZIi@**jT5NsBRKMkEoe?Y`K!a
zoltJ^DrpUSnAq;bBZttFcXs_>%*7!$Ely%>Y6<Jmu-z*9kAg1x_TKd25``O5FJ_EZ
z=dn+;X5I01CWu&H@XqF+5bTu12j3&jVl}pJLN2TrBd1c6$rT<!c%5v#--|Sj$-Tbd
z$wx9q!}BXmS$6!Ox#mxQ^6@10Gi*{!DAWj9jyHRrsN{v!q=oNI2Pd&CrBPe;=Z0v_
zqtKm>!UO3~0^P>wrm*Ak&2|kmhUmq?oP@-wT_1BpF^e(N*v>B{w6t%RM~#z>HaFN|
zY(Yof>iP^8D(G}$`hh-rKSlTSbvi3(-HH6yPyB%i`*@zp-q1q{R;8yHJDI_2`z66!
z`zN-lUvhxfMGpxu=Sh!JnBcF$an7%M7cm|h-5$2*y6Dq!t4k^?44~pC(tk;C8Cxn;
zHoY&Qi{#U;JsugM2V=JOgv+$6m=}#s*^^`)M0;{zS!9C_YRsz-)H1JO-wio^M1E_d
zo-4IaP0i_mEnR9oMsXd(4fc{g`D-Ia4I_Py23iPp#<4#?^cU0a%EiC`qJ<c4MY{jz
zP79tJxQnr6|F8f)7gbt!E%b1G18qsuLRw;o=LfMJO!Mn8wIf5CDEpd}v<)jQ99=wL
z|M3G2OnyCC^TSgUz3uD!a#4U5ESP#8*{je2X$Ys2Keg*W$FH5$MzpYQ881M0jUGm<
za4}a;lhJRMs2KbuTF~Npbjpp75rPSg`mHo%)TY`|kiSX`m-n2^Wh!BUUU$hs+Z!Zg
z7Tb1T`3xPryNKgm_uS>@b2B|_brP!A7*M|_OAl9Qju2eb*}#pKyLYUch?r+hBK4=~
zf#b-<hy+;<`2M3|$?y~rc`QoX#dk75H>SwXZomcK7;c;279=9}wxsja*Nkw{GLrF&
zF%NXL$>5{TYap6;UzBp^m_Sfp7&D9Dh3(J0@BYlHBjc-Gnadh1;Berd=$`i7{8Cd;
zlIW(6M2eiH=5Mh=znn}n4N(BfEGwUK3=mMEcdN~51$OW**nqs}f*@V_wi-K1Km#8c
z-#qxt0ng}Xr0u+fA>2#o>Ypt<qDvpq8m#An8zrr3s*0j8$$hG7UkM&<L(hlqqdXuu
zHh0N{R~)pK3CWKF@o0-OJZPH03j%Kbn@43OAxJ!ipk{(cj8RetOKbVSp~K^-f~z#_
zk@Y|1r;0~U>m*eDnFZjZP5&vUVHtSaZd`9n!Xt|V2F6&JAk6#>6R4DugD!>S@7vCJ
z^jfgdcxG3RZLK}QERi^9a8fhy$;G4C#O>iP`6BQ%|AtiFS9yqfA0m;-vb)!KN|#%p
z7|1=kPGvo`o6qkjyYuD|5O2t@>O4CM5Mvt3TA5XX+QmubE?;$YrL!#an1d8FmaR7~
zB&a~H3wO?tmj*h<r%B_WCj-+vV?sJIYS1iEp{Hv_MAu!<rz^S0!aSep<w(GTMYZ~x
zDIEzNed~HuE@5}>y^H+0ZtCzLXQKPn2nnUD(x|Lf;lQ_O$h&M@1KiH5<|KS3BSX>O
z*x3bnV4}^q>RU*Jf|K7YUH@q!zQNHKRceaBldrvbZ!ZZ9>>8g*nQEgBjWA+{pAuZ>
zi(LEjngm($gkMS}I_R%JoC!^~GNi<>QR9@!V0l^j!YWY@UB%7n^1W06etvp!OLsE7
zW0K(d{$3x+Mm|%deWeNk;}Jk~CBuMFsD|=6!(AOQR-{#{!Sh$2T_YvPU?Y1l>VbhV
zvUzgE*f9nValg5eGxAB0zxqh%*n$ZP&dmz;;3B~E;q30W^F%n4WxOM6iO@h@x^KY=
z0z@+w7LWhdfIY{jr9D`ws4eVqPU&R=+<E+C$gP+FZa%)D(bZHm^}}v>=QIHbzfxD1
z>DA!O1nUzzb5kTMmcW0Jj{tMMa(q=X%HW=_$GcFq%N^ZF{^oEz$eWLwm5D0AV2|C*
zFIqFSnsGDmVU8Lk7v5idz$OPO-FCir31;Yp1D}mchAQMvDqhkOmjd$bjZFtVGnB(x
zk<jd@0%v#3TQ@^QK(ul+;ETK&s#WIfURY9sJahiWvqt=I`^?Nk#XqJ<^~TV{kSIk6
zx@T%FtH24V?nV*!cjqZ2#@zofCl9xfIo&ZjM)>wJH+R;{6nQTkGv{~3LGH#CoVdn6
z?5u0lC%>&-Uia-=aA=bSpXf^K*UuNRveDN4T-T_`vE_<Ts;&&Y4;(Y(8y>|H+ut!6
z;Hbz%j;3|}lqAT^{M{OTmWHv8geKoFM<~eJq{QW_7|6ygWHPDsQEok#d*)`0kc93=
z>YEW^@ENnU@VP!gaW>@}_;Q1Sns5bDpPU6j*T-7vEcYy>?U)*xtu{g2d9jKtJABX>
zBHmFLH%GCUILxL!WQ=k}_D_Ti@xUE>Le4bxCuP6hN4MMb#;D<hZS0fRobW!8@hWfA
zPs+|ks!Obv5qi|w*zlXe2K*nE^$JaXQlxp_o?Aa|h}zd!4)yagL*O0NCO5`;O0c4Y
z(9UB6v^Tda#MyuWLIXU6R4ji`I_nj;Jr?xQji(oE-&D~8&(CP(Jn}4M;n8-+8$EsW
zyKX|pXK@=l$so<HF*8l!CD_d{rRt%qd9|V^beoum!&XsB!Xzc8$5#fv=py<z+tvzM
ze=vze6W?CGaSC^SEJL}zF51vact4!AihYausgvV2N^veaC3h`b2OXiu*ZXZOVSKU{
zOphxDDP@NPYt^=Qb*FeXP9*Xd*8i`7eAMt0MLI!wfV#^y@msl>WjS*go^``Jbn6{O
zLOPzD|49qoenNHF>o|+GH{I<F-tMHdI|gLP?bSlvv>nAJ$<rA8r8QuU1<K7+XH;)B
zXrhsicLMIHO=1TuNvos%m6VQQ3_qf!iKv$?#8x!NvGvzI)_x8*DI-&*^zSRk=*}dm
zxLa`yEBR#xs!wt-jhC7;`^jX)QVd4x|BYZgbdR4%LM2w4YUyWFOG2V?s-_BFpRoh|
z0n3kBny?+*0hU~25_<Wn=)>9SL5%ax(+55wZ5R)OIt}3!5oKERWCVo|U<c?6CkJa^
zV`l>1E_`z)qOG>A9j~l@Ox|)zFJtO07TPB7@86?=2Cg3Ke9X{~iOy7n>ob19*jyPh
z|E;Pc#zqmcWosW6C_xZ6&;5iAswP+;lT$}y%`bZzJNvNJX5D=!C<B;Dg{)7UGXZ&o
zg%cJz`Z2u0U$OSJA*|RtK2Yp39yJ7R(KBD^$CyS>g~WD^U?Itq1=4TS(CXgqYYsL8
z*yC>g%C9YB*n{zF{6XAm$aOi~M->fXmy0!9&BDjAz*)}l&j(e}-xUjyg%d-VuHea5
zCAmp#q)fnd|05L?OdfTd=>3ezNggFM|C+)w-z-t<|0pA)@8ez?r$?|NAG)h+<KHmB
zwVpT2`;?J<#C-mM)fY@r>3Z7s)+{!=kug47qJ-A2D!m#ae#N5QBZ<LQa~MuZ^KUY{
z68dH^l2CVO9BZyFE!o%g6T1`O9ocYN5oJ!l-0mu!z^W2fld{Yfv9})r7@|KbAphkA
zmsZ>qb~Eu-bxP|JW=P<`Raz<_^%`2M&X#G6{$Y^AkAM}d&DX5ir$HW_bE=DsygY-+
zbQx7_>HfwXqeJP^$?}M?z>u(<_8seBVBrbT{(~)CW7Z&+;n3Fe`rdCZ=ddQaGtMXc
zHZYI(hQprfI5fREK7UhX0b{Bpf4uvC6Dz(lWUo{uhv>~tEQB3j#2k|kO<BfnW5>sm
z%$^y^p?Pm6k-F(6>|?H9wQ3CwRNfI@lj)X4wI1~!%~DpdAEIMh8VBfrN{wuN?j?(y
zybm15ANY-tyn_xNlVSh{i_;d(e`JvGo&klw4u7y=A@s*jgb9l7myjOZltDK|h0`j}
zZD1`dJBj8NEFhR~v(RTKgTzca@RJLh*evT%<;8L~@X?*P`|q7J;yOFt`!r`8vj~&v
zqquW|<*PeApev2sE3Nm=bkcz5g;2@=6nG%-#a8iTxfBW(-$!%}q=S!9l5KNsyiiMj
zB&yX|3W-|Xb=A>ffMBxsUEM4EaIgN#Nvm;5#MCy5&5@bl9Ak;h$%}%p7<fvADNho;
z_-~e->dOMJTAq1yRSU!4I?i#YI7!ssX!_9e9UDx~pIs~y5rf52cKMjyx=oB~Q)3J#
zWNrUflvpPL-l;s2V~-?}tIp}^+gd!pn$K&SdRrRK^SzBTpp!!K&e+)3US7cW^SHQs
z$-*76_gH7P6vCeRTXfyx2j+&YeTo7&i0I97I3FdAjtnlxc&7?NeaE-0w%vTe@SD9^
z^MDK*7s;bde=H2Le^$KDFDSxWLLgU{q%6Am{cGaLUs1U1mh$u>p9<tlisOxBcmLPx
zxyr$K3D|49Gv(^42B*D>9{UC0P`?+qFHTPyZ2xYrJ2nu&X39K<xGj$)0s|(l@yUW#
zdE5|<7!fX5{-Uv1P(*#?PAQ9ra-h@cMyc~40a@Y4yF7ChB&L5ULc~fQzHF<%(8?jh
z{{R30|Nj)1cQ}>*AI9yy9eeL%bB?{9`xxI6MTJr-8D+Ff3W-XQl@du&lp-OKBsmev
zh(w8u%tW?SMnAv5p6h!5@qC`obG@(ob-!|x?2yl+g<OUoKTb2N(tmkLsT_JwrT;u$
ztfS?ui_7ajDseZd(JK!wu~&aLplfk$9eQ_JA3Nl<W7egs)2~jSX=Lj*q`M?xJ4+!I
ziG`uP>-THYpGf+QGbS6+C$|_D#|j!Dp}h1)v642O<>IW9H={AVzvk*~!#oohNNCje
zyw;)rY*fkFA!tmeS0sI43^d1*aFbDixE}ra_Qw{LB}Vj*e0%HO5LSrlvp96LNRM70
z=hJ@vn;~7%H2?d~OTZ;xWm1EjKE0IZ@qPX426SQ1b21`5G?Y1a_H5XrPd}F3bR_;0
zg+99VWAH;k8)$b3Uvl@?r-#m^P(+^T(KkLh`fozi7IZDe=0P)kI#Yx5v)gG}blt%?
z>4tB%kd7ACZ2PE3Z#uJ!lk2z|y>&y*p4>n?1RPACmoe6(9~hq`W=s|7A&t2`8c*#I
zK_gFbbm-8h6_zLCwn@^twv*S-SJ>fLxp&a}aV>hU<>Jo#Ujp=N3R7Jr@pkz6NVt0b
zjRyT*dZCpVm63jAJmh9R#SX4o+h<#klj$yp*DLZ~`BWv@NAD7UW(%`o22W{jReIWr
zp0KL<Ea6H@#}`FgG|72qzD-x6FOXVJbQdu}w&1D!nR7M>-reyB1`2fddu72#rMa-t
z!NaTOt2M~vEhkm!GW6H$4Sx;f@B`J)szQyeQ6pHd{n<%^{;*S$qvyRKstz1D|0sn9
zqZrA^WF--LpQ>TTdsSgP)*UkbybSo8|1>JK7Nqylo@f-T3WIvb^XK+J;C4m#S+Bj^
z^!+Az!}&oZ#Qe8cX<sdYBL_ZMb$7GS)6)dSx8(eP&hn(7)(Tw>&T#|ZR;tR%S$AGt
zn`gRXSLG*5tp7V~Tt=CzvdMRRYY<IB^u-}r-$e`XzKY*EuRT~*Th-UN)13tWG;+*V
zRSQH6hV76OD6G=`K3O8FLIT5^LRTX%b37_M7|_kwO{{cPWKPTp<5buU!M0p81n9jG
zxVU|sxMGzi;@%{Tecle6_?At<6&)VJGdM?_%m0vU{8SiLmjYY<ZZn02$!}s^*dK!C
zoHHYnFO0->F3znlO>k>&XOUaNDv=-hd?=?}7;z#gm6Pfw2%}3cs;4sITJus~L60zs
ztkTF`8OF#Z8#^qPF+<BXq2#;-37-;5HW*78qdMN~R8cW2{A{=^c@L4W)1gG_ZH5t^
zhV{vnC$i(ov&g`)ZW1&c?Cbs1jd0zr|HNxIPSooOxnA%Vfo#@@DsP1$WW<cmweWGH
zr9pa`%qj}roBx_#Z8b!2DC>p|uXwO}cfTg@Yf*3)T4kos8Q{30at>=C9~{anI=82a
zVN(m|eEUrU#5qT@s__cIvo$?lJz5;^f6FKq+8baoJ-p)dcLDtT_)7cgH3^8DMIMY~
zFu*%fSZMA$K?FAkY)&ng#A2MO*|RDt3{M2f6&4F&(Zq8j`L7ge8z}*em#DCqm_6!z
zUl=bRFa037${_2;r}{1KRJ2ul?^nnsA*=Ry^}lzru=h=HpEaOD=lYfE^N&SP)UI+x
zRZAYRt6s-_q^O9XcrV<m6@{+U9=%Kd<UzAy-WtqH#qk%;LLn1k=#;MMInk?tE4mfz
zJUmpKf7|?^Tu}n;-DaEq)hj~o_v4);aVoCFY5INilf=2|#KVIxln`&yyf2YLMaDym
z#Nk&`IFWj{Iiyq>Hd;J>7d)tlI#a+`q%4E-QbpIiQWX?2Mx9zpp~9fCCqF7p7Ig;Q
z+de#31(`!3Z*G8!w{qU)GJNvzxH>EKqCyQtXM?odXa@Kh?Rq}8Lmt$dNhR?w$f(;$
z*BU7{Kt@gU(cZfXkh%11cXN?C6gPHl(>5`L_JxZ*iANRDHt#0rlBR*u=~V;Y4~E#U
zrR!5}t%OmX4r}j2nxML|GVcyILg7rrbpc^z1gEvmSE_5_Rw%alSQ$fipyl95pE91E
zOM2e^MhhNU)I(|lCh&<bozcuu!TaEM`&dl1QD`gBnKfeqO5<1aGhV8=yZ%t}=vi%?
zpky@j^_wC|gI~ZvPz|Dge(rjHO&jU|raHSmo55c?JpNpP8VYiv#48VL<CN+L?`Q4i
zxLZ}$d)<f(g~JS{Wdhm=9s9eK`@sT%$9J?=-6un@cHPMOAT8{UoK3ZUXNlAnJB9nd
z$uLnUVzJH8gnHG@iRMx(<P`*MKB%RR%NGAyIubPSi8^I;FNwfNXyEXal{%b~8b4le
zRL9r*F}Gf70<HHCmUro>W6YRlu-vPLt5@SlZjpe^ilcS&5*Y#iI)rkZRMBsYn!0+x
z{Op|zzBy#jUv<jM<|@OpYvYD@D}a55C!3`n8CBX>uEhRQ#9h8C>z*sp;3DMH+>x$^
z+h4hq7pxT!)vS9p!H9;pwRsy)PpIN%--a8u`f^Y_tkl$HO2fd*kGVXms+fCi5lCT_
zMsmfcM-R1WShsmHwbxMvMm4q0(JT_+IC1xaw=fMN?}j3d`zpi5c%RjU|3op<KCn_c
z0c`Gx5pp@91RlS2@9FP_Q8ky88BhWEO&-ktc195%88h<-?h3+lTRxxj+I`(EcRiw9
zR6vaUhUWoi`H@h}UZ)5kj4Lwm_Z4|$MvW(>IP)M(sz>1OECG`WhLUb;If$*}yZEz^
z6FEL@O=-Ib%nHv^Gfv3h*!z^$4aw|i@%C5GthPc1DdbX7g%kv(w_g1`%Zhs)q(uc~
zD|B{-tXz|lMAqQ1?vW}Mlzddr{CeIJ+In~145f(U+?<tP&J;7+a%Bw+2Q5%5GT?qx
zR}2#09n$WdWX7>uv`g!4EMPkGL)CRe1X^D{=ICx<hJlbt_rg7MG+1gnl3tSFYCl|b
z&663~r+=IL;4nw==N#U$B4Kb$pJBFo!VI=uWled9&G1b?tZ}eL2s1vTIgJJ^cyzma
z>Gl^>JU;8v{A*qibpk9U9K$Toj~kZ~UT2CQm&zi=Yy`2V#FlgTB`eA<w0~Ov+yuG1
z6Mk=aEPznUSy8X&Y&g6>X7@2|6R-x>J~&Siz%$*EJ7MkYFrdWVs>m^h;=dV%UD^C_
z+`Q{LiJudvh34WMm5oulD)%>3m>;z92dCQiapB--+pI&55&FG?gngd!A#39~Z;5Vh
z{0P~S_)W_QvL4+@R*`%Nc$%s4HINtnfsX%-pBv&C+qBpIP(Hkx6<bJ`;0FhN-LCNU
zhLGTsG(K^M56=&nDc?UP0FP*1`dE(vl8ZE#Os4oS+wxOa+HY-7Bv^Bwoie~fMmx=h
zef;?NdBZEFLqf<bV?3%MVSv}BV_8<r0vJzQ?)@)H7=GV1UL~*PJdf_WcXRs$@OSmp
z>4^dozSsZa+<btFWyXPmgS`SsJ)yaWWkLkc7vjv`%28p-v-0JMzaS(fnjU0Xiosfz
z&*@kf1<4{q8~QkeKzZl<^W!~nln=B?bl#$1{e_D)8ZU(~8$zDFq9}>{m%CS!_fwG7
zCZXJQUKm$Y7b!($Qi#|unYG=Vf-8ZnFRVOC=y)X8+wLQS%D{6czl&2)@T%UWV6zDH
zxJ`3+Xvo1J;`?uTMhfy$874xui=xhn%qVwZjU!y2PyU+MhoZJ&`u7uJ$dtV*%5YWz
z(K35PgBJAhBQ~-`;ej}Qjh9B)L@C0|ORJ@dnSzDSB9F;a60n@vEVq1J2|8s@CwLVo
zc>FHDu-;J$g<B5qdt0as1Ko&QIh!c(>kukAQzZ=s@nrv(ttwcQo?HA9Pl3m!Y<d6x
zWU*4{uHo=Y72obW{qd`hg1T2i>U#ZhNZ1r{QBQ`9#n=EB%m1jb8?`MzUc1JZYb<Ye
z(bQ47!>Ob3H5E4;J!hBJI1)rZeqwx=2F^rX8;ss+fD;jhmzgdo!la8`lXOrM0VH)f
z_GJT<%Xz2-`YWM%Q-GF*pB9b;Yx(%D^$O`Yb^k0UWpG^7xyQ9$8&^Ju_G=~?LHD!U
z{xqrzETvvF-eA$ed2jbXa+on(77uFH3#wv3jPdM?>pF1iCx>nfF<IkO;Wo;MDtz2W
zpYNU1L7L}vtsBv%C^&R6;X=L|468K_r9^cxr|~R<DccOpJN>?rJ;^AjjFiY&)Is2%
zYU$`V=GeV)$v0@3411xzbKci<;5e7mLX29#QK{3RFH9ZWssX%4quMZ7cu;kP#R~b#
zkTvR2M|75`YR;S%9PMlB!$k;)RJ=$ZkkG(t3`>;L8Yoia%GoY*0{sM`proe(CZ4>M
zzIAI)!@c@jLjfK4pXUi#4csih&D5SrhT~Mf<Axp}(&2<d!Js;1Rc(LHwy1)3tWI5X
zEzhU5)#Fqn)e&6UG8HqdjPT7elPCOXs6Vv5Iem?5vA6oYFHb7MrmE{!a1sqx86;`t
zjb!BQ+asCzTOM}g$g^AS)6mJ`D%W^U4GQLmRSM;0@t^2IdH>qHhsi;ITZSrlNi$2U
z5t1nD>>f%@rs0~@)^}|8RgmEQywy`l4BBqS<lV<<s2l!P;do0K?(@3)tVtw9mHEHe
zWlMw2zDrU`F-q|2X&T<SQxE|>pZ|7o(%^fuUv6owZ>W?<m+SxLg$ZqbL7)!kbGrZf
zza0u_S<vo0J;4bp%H4yaYyYRo`U%g2|KxH0gzfH)@oW(E9vW-Z0CEaM&iMz)LPxab
zq;4xS+WE-l_Z}12o%QHh%Q0yXy@9^H4;XQ`%zi5$BZ2kwAR&XxlGx2$U7o_qfXQ0p
zIl(Pf=%yVhma7s+`+3c?)RGlq*L3k*P?jZlm>%-+lEhGPaNmJ(t!3imwgvn2ISXuV
zQ|FJlEP~OWo&4(VOGLf$`IGVgSwQ`3#$`7p5{OHO>?v|fgs6n?9idz12qF2jC-n+}
zC-3_gb-yJd?vuF7i+MA=DczpmRv`$Et}Rm*^2<aj^L~#X&Sqfe*%$2aLI7?bHi+Ca
zS|P0YZeJQJGQ~L-E;KyhN6w62Y}D;lLaDaY?>os9eqUccEzsgaLbZ$dfHDK-)mqna
zoH2p!_dl^A13WNmsi@y8!HBaDE?x8-Gln%u%64NbH`rX59|)^6!RY3u*GxN%@xm?s
zs>2)?K0D@8-)&~btW)mX%6lVhH_k3EUC)K2RP$Jat1R#qE9~)HZ-iUTKYM>SbK+NF
z^X<klR+tzv^_$lj;>F4axt9@~C`(!tF4)cv&2dsl)*3H_8q2wV?B;}#O+Q~k9|zt!
z{Ep9WF@V=5SIx40oH)YjT#$a23vU~vqk?xD;P#(y+&L+n(Bu=9J#NN>j?|}z)F!A1
z;eP5G^OF;2guR-0g!sUDt3>X5Bo+2@JFPDSa6vgoICmS109ZEeJu)dxg+qfLos*Xv
zUOC*fqXL3xd6stdbR`9U^o|F2wR0o8zyItL9U%xvT~2EErl9TZhgQaF9(b~y`gGY-
z7_B=^R<;RH(5a)y(bmoj!M16kGY?3ZQctT5tkFl!yAky9@}u*Q?K9prKdOs)Z5MM!
zAFp&bzgjk0<Clfc;HwZZBzL-nSrYo_+E2?6S`t8P+O#_hmjp`4MgE$c`cSSi$GeY$
zSU7O6$FM{ad`o#zd|&mj(=)60?Q0<nzO~&E9wH6y1%IQ;=X#(!PAb>b3gbL|o~3@5
zEG+H4R5b7CVW|IXM?gOb`ROWOHtEVE|3f?iujygQ$n2uOkSMk&GB;ngQh>W$roxl8
z`9;O|f?GYr5T2Ry!`VX-&KD_Ro3r$w?EB9(<&`)Np6Izee@O}9JH$j^)AjJiqoy;!
zbnW~6`;6`B%5bvE$xE7EJGV<{=|z(iRw{BkqL@`-^Y{5eAXOjV{Efr8PRW2AG-{^e
zq=u}0+Zfnl^|41&*3I2a4&JRTakXo?7rHs2kn~3%3<FMaj4|>^l-Uu_F{6$<%yWsx
zXDJ}{65|`g74YMYsQf8QO}vsfT<DRdg4`YR!#7kB?JkO!kB4jFU7m2K@|QI~A`4iE
zhAYALbCtPfzBY<ZrG`E(Fu)5Q+m7V(%E*#9!BJeP0}A(I-@!~nJdElTJQ=M58}E~b
znz_2z>|lNPOr8-wjx<a@j8?_y%q=NCiXM3W+z=dSHb$aFklUHFYN)CR_nAAYhk=0Z
zH{NWfn2ruTT(+N#yDzzh3={QmEAh{jLr!KW37B^)Hdn{*wpwq$C_OZOdi;bt+Z<Cq
z0cWl)sKY}cLQs3N9;Rcm_y7H4f#w(af8!H15b2ysxBjM!w+#(vCLOF0INMuFVbMgy
zT<pi=^*Y#gV`*$5k-&$Dp!oVtnozZh+Oxb}8y=?F)QH`H!s=1`+ku)0-_)$DwdOl+
z@4q=)4Fk_={hsaEt_jY~f;3vTI-X3O)(G29Lu=5YCzYfL-J5579|WtRbh7fTTPY0;
zrF<Kh?r4DJ1H08XEfoxYl5(B@L&KQBTW{M{bxeP<)-&u-gyf@NvbR*M5$8V1J4aE+
z#kVRSJkG88Xs#sbiHS8_LThzxY{+=rXU6j&S{hHbrW+?2SYz~0?>}clHB=|B$_zS-
zLrv9w+*8UL&ACio)%>amv;I<Cca((mf|E{-Q#9;0wQcnOvgT1tQV&*t3t*)5u*K^V
z8m1D{#Aa_Ofn~L&y>zYL%C%KgS{+>TDc8T|X)cOj`s?*o;~pDsc(d3_OVbcoZTE9o
zPytLEMgF|9V}hl-Zrjfqpy1E&nYl-D*pfcRD(|;KOwyFbruG5aTsaX&_A+1`)Ze!2
z<sxCsUq&#n0~M~sO9Lh;MDlBMtL&X4t|fk(wsIh_-_ACqxmz6OzD3)7wWo>i57??^
zE?L1K()ZNiFKc<>z<X|fdYtf0FPG@9wZu^N3e9$fg!>{2hE2v}#4}>-A&t!v+uuvi
z>{&02)9*Qzy1$PSjK8eJIX75fHK-zK=7k_!rI^DG)Q%E;?#ZX$CYj?DDKYe@ivV`>
z@9N}9{Z8CqVoB)fF~c)c-jAtjeCWy-_;6152chSXnH#2KhKH7S3wfuwafD+3{Gi_i
zq2*)iTzP(tI}0&UwM(2}`PG*DSaFK*cG@$N-D85Ic}Ef_>^X3S{oM7>iZcZNSBG)3
zg$bH=zw3<YU;~-aHqxzcmWcc^ZETfkj2$k!=Cf|HLPWvi)ZeOk;?9HBr)_M;;H%H*
z-F}?~>9@O!r0Bm0?t7<(+m9Kc`&GEi>T6~!_Vyf@`}&*sW2^btV9*e^JCZfjWSBvU
zFs*bESt7joxsDBOGsNe<E~RJLOxQF~_xO<i3NbExeez4I0Wx~n9u90_LPK}bqtvc{
zL>=2~9p5Gcl-erfT9KJ>e9PA6D~61?86U(F*+K<#PS((K1tuibznG9rWWrhc>sYEQ
z6?e~OUcYV0gesr+YG0R_adC?Ow$56A?%tvO^?C>sy5@Io5D#aC?$C~ah=XfAydv8&
z=Q9)R{L&;m#Mz<ddacQlfr84q*RfhI%y_zw=lscL4xFrwlsliQj|;E<9_U%~)g$3G
zuE+0ip&(7)A!sc>%O1==ex1jHLJiy1l;kxoxrH&>wClm^vg&ba6e}1ujF;|s%!h1#
z7bDdWJ+L0%wYmE&8#+?d><oeh@XaCNi?7NWFY;(MkJH()B_(ZL<6}V-U7dbXn6Ha?
z?l*gfzi{9##m?-=vJe^?JO=6{b#d|PDuu;@3on1VI_mn8(3WuaK6{D|yi!j%HPmq9
z<di_Q^bZl3H~U+q$mwA8CLcTXI4@FKKiW9Piy`*9aaiMXZQPD^ynfJ;A7k@lf8RJu
zz~~k@ExfgH)m};S$3p?!s%uX^Y9s}Uv5pO0UK_D5#_ms73*uzUK3Q(a!03_dzOc1^
z9n}9JK5;<^qOY4GRu0J_df`a%_Z}@|8Q!esvL<2ogqO17fIN<6WiEFPXrU_Mq2P^N
z5j3vbuPP_62-;1pzH_YF*c-b}$Vpoaao!*In;%ue1*5NfBJH)onABQBdM}R8dGA7=
zv@4@kKRLL)SR3qHEp^YuNn)a6`8cP&Dl}W_y}ImlkmoeDqt;IvZp}eq<Be)iyTQc|
zc3qsXRO1Tsl0~W9Zr7jg>QL<X<U72iiv>$&9$O1}%nQU%dQ57dg+Zccd$Jyy%u>D|
za#6tO_~K{o^IG5$d}XL%uaDvK%WqXrDMBshRH%Z04)R;2go9-%=#S?~R=KYP^SfiI
z%dxsx>2asDicq0t=Xzsjr!rVC1SX~i>4A7soy(|afd8(x8+G!kLRYM7$XP%i)AhBK
zngfQ2?!8{{0%~YD<NfYef<CT2O`q^;Faq)-mvsZlXgg1Ty)>qe+h1uXj@y~w<&WU?
z=P#<`PtE<#9}*PYT)w7qxziL?!Mhm#i`BsNp=*=NVifEkgyUqw%%Sn<hQ+m`ns}#G
zm{8xVzvfZFoYz$?vBCMO&|&?xds-(+%?0S=VO!E{YLgXSwn`{k)o7tn_z^>Ig&uM?
zzS{Fa511$~KI6Ey7ff4A^`sx_LSj7D;m`!2mvu?T%|;tX%_e0Y9Mgus3D<u-*Jv2<
zDX#uU)`qczRE)@&2H4(@DISrt2E}6Jn@+11-uMZQEGm$ZZ+KIsFy0!2Vczi+Gc6R8
z;&eY7sleghCcTJmYvcrP;&~RJ373+qkN(jVf%C=}c5>JtRCdBAe7^=%g7d2~p35SA
zhv!9K5gYi3JD*xMR)^1Ga&Ebi1ojHZCTOzSV8irVkD4Jhh@ZB2?k!J3%3{wa+S>cq
zXN{;XoK(ecB3Y?Hk{@onBhZm<jfBJ3$YqPl_}CoCkt)iLbvec^)(+Ni%4Dv5aaalU
zS2nUvSujA{LVfG2pKHFxT<t$FqJTN}oraS93j|>lJS~2Swze0XpILq6!Cak2%v~EL
zF0~;$Rg#9q0`}VbUu1AYb?4s6fe%FSd+xoXc>wW!B_)Ad3LZN}z4OMNRGn^W@Rc(I
zT5j2G3-J+$(EGD)MT6~CHS_|{jB5nO_VuK5jER7~`G=XBa(~rn^O9f6&#a(vwLq8c
zmN0hsd&eJpGgy^&J!s3O9!oUXRGumg7lfqZ!py<v!&Q^v{EaMJmhj`TFw#-vN6XC7
zirelZRTj7Y)zw*8z+}C!?5=y<IA*bQVP<}~%1nmBS{G!FvdI#1L<9$3%l-{eZyc&x
zeA0Q6q0|g7c~*jWi&^oDS0$lLaIh--fRftQzosbC9kPEzWk!^KulCSff0cc8D`&Kw
zDc-ApjQahL0pIgkB*e)*Rf3y_bM~Z|Agg~OKSN=aco-J9@=~I+Dj?D|DRsgak8Tzm
z?xFuBx?+YrMTXm|j{Ft~nOtX#iOMo9o3=%wHM{AUgHvPGVpC<D>O&)#=Z4=I+OR;B
z%ilf4GC{9;7}K4>#%qL=>v<zW<mZSH>FU;o@w}>_TVpqNoHT^B)cl>(_A`X-#CnDK
z2WiCOh_&zBpaG-}kCxCvrU<2Coo<hp<-}+=^UWMr0}xg5?^i}9h<iIu#jdxmBO>(`
zm^L+1!FQ?h^iabO;+k%8Znj?w(IX=vQ*TQ}{FBD+^%7%*@?*=rr*+zi*h_KQv#%*|
zQe_xpsUIa|HO2yEQ#%RKnK$Ak))Z_s%^dM<7$H_ReQn`b{7P(1VmUZdr;p_n%M?+m
z5hA*G<>d0Ce&T7u(37j1^x+`&$D5;gn8=T@Xf+uaATGK^^+$fu!-34iERUFB;;34T
zQG?PjAxTat%G<ApqxMS~n{EvgSC7q{ym)eyP`y9DGC!jW&V4-ca-+jUo)qoKh5j)j
z?^{z8eT_%g#ab&E_m2=pzx_O9*80iGZ`ulJ_BvR~8Q;JoIZAwrNe-PAo+7N$Hf`|^
z*Tya_)`#SOqlEVtCZo`WX@WsZM3=o>3tpjDJ2*tgi0e65TP#9miG|JEpB?$5iJ-*h
z>oR+O5OJAbDy6083HwcVt*;Q8c)Y-OGO>G{Xv=dSH|bj-Y`1=q*}0Z?kMu*<nZ^Gk
z1mc|VyMB>4&6{J^^i>_3a|iz9otz^6I#b<6y8jSoEz2c_sp>fOKy^5=d75zKsuRtV
zStcUnxCRTZkWt(9+1>8n3?Uu+ddB?vD#6tH?WOsg8Vc>du{Ca)BmR}`3>(U3fc5vm
z0}pqqLGUHd-HwKNA|a3Z=!Xmw3~zRBmTgc4HBG7VOu#SVmZ$p-i<is@JjndE!%7ti
z_v!`g41W^`lzcaqonyt~fFrNO3l)^li(HV_{Y#AO<4;cvVuuqg?A1C86&Tn~%mjEW
z6JkuVr?;nZ!v2R2cXzEac>K=nCsnT!|6NwR!ZF8<?>hx+0=6mRe*gdg|Njh^cRbY(
z7su_r_uhNnd$~6E*rO#W8BHy-WRyM9pwb{BWjsQ%66Gg+4;7J0Q4(1xl)Y(q{Ci&K
zkF(F`EquAO6RYT;@BEen|1R=?$iTGs<2glmR8FbcrNRJb)DooWEBGMckizb}w-n*o
zN#zO_f)SKs46f#z3xM54qj*~zMPO?AT<H_X3=gdDAJbkC1R;O@c-9RC$hTb#@(5&w
z7^gi0B3;5z(sk@gQmX>wh{Wz@y2=hy*3_ZJAyL@9+T-4yqX5*G8^qTkPUy%<_YIJf
zfWpjpesZz`7)XA8o)^di?cKxe(zm1_fLmloPLcwwA8L2czsm<k26~ETtYpEJ^9RfM
zJO#KE_-b%gSpZh3oCz($@}R^+dAsyc0p?Rm^WS|Cgi%VRoX-OV;Ma>xY1CANn!taj
zpBD<lq50spK`$i;l$c!!FII%Oa=&Sn0#O*rtGcaAQUS}*IJP_&CAbpuvVrN1I8YmO
zyu1|DV6vbnKb5Qufz<E0-xZ{Qqx8rtF0uxQW(WqRZc_o-^~UvUg)*Si!L&nauNG7o
zx=KE%PzA3+j+1>4<=~FNkDXFCbl`*i<JUfi)Pbp{s$q+S0(4aG(Ld@#f)}2>`q%w6
zK|1DWYjd_DB=`~a)|bc-wc$SG`9&M{J-VbzB`L#rqRW@LYzka>W;N&PPJ$*^Q#IL6
z6<Arg`&s9%9?V8DlpXj>hU9#)WZN(`_)>5AxG_o}oJFr*9_`fwyQ@=u=Or{CUMlWx
zgEkfFRt3FMC#fLwxbVvJDowZ}{M>S99u*E=uD5pAH3E-ZK~+XQZJ12>bhz~u6|%RO
z-F%o~0{xM_oG-5G06y_sm&u^QWAR-xx+3O4t)lZSsMZDC;vCY)K!vkbF_gdQG;pzS
zH!t2w0+l=OnFm<)LGV}S&`x?w$lcoUb58~dvcgRoM~W%%BC|h>NzMvt^ad~T)sTQP
z-}yi4ED3g;d#@NKX$?u?>iYZhNpL3;d$I<!LE@K@!|n-dXiH`A<l9ez(hGw!0TJqu
za4Vt8E5Qa-;%}FZe9(mk@#Nz|<4VArtEZ^&%?2E|X@%~)t^>K;3QeP)a=@0765zyT
z3+HuSimq>Hfz$oSUO#p*;C`G&l4h_4l9F8%FG&+<+4soaynOIo_uskf*EZ1M8oP9j
zqz)ZrCU<VG(nI@1^nd$<Y+yh>`p`3eRgiIwjPc$*MkAHoD);+i4cE?_OwfN*f+O;p
z<acz#M3}4Qu^pk-P;cgKL#|SQRYq=+&-JTB|DB2V5#Ox9yN!ek$#SqWY3iJQ6$6UI
z`#CIbwSt5XJD=!HNr9K&wOs2^R=l76I>hmbB{VZrM$K2nVDDSy8x}t}@bi|9=`saN
z=t%3lQU=11su&*6V$F@`FZxMP(g0MfYub-?@Plhtc7?!89&9oFs?Wd$@c2u(rlT1*
z1k#yngy!(#ABmrRw!$>1PbUQI{8?c<R<ujxA1^wESA}npvjE{t=@wUI2IvK9(hvh5
zn*E4Af8WR)^kdIo@@ihEZ7>Y!<#qF7*s@ag^?hcLJ5fj{t2<AVPPUz3JI9MRE_Ng-
zq?iJyws&6b?@?Nc<MOPv5-*yxaUVa?W&+1N7wuy@J7{-#h+N-R9;_N@P6+2Qfe6L0
zo~7g$1ZT;Tn$lSw>|kloPw+AZvEVYpNy-p0*=2jjg~o%4&JGG~RYqWyKK;a3`6m&V
z|3kJ&kq1TGc8yi?89|Wv4QReTM@;M&qsVITAVZ_(&8MM;p!IDshFZ7)MnJj0L`?Lh
zPWkWQL01{`g^*zb2)`lpG5W|FaY{gVV(UX5>?Xwp-ri*ZH&2?EcK7`unnKJJIy88(
z`C(AwkJnUqRY4if;ikhZ^AhK{PrMjc89Qm{L<KQMFWK$4=}}_;54SIFe3-}CUl96M
zA2?s5!d@XpoIc_g*V4y_ogY_MGWY5OqdS9V?nNeay>?XU`Wb$F>r#EKd|VHDCS$VF
zR+y2Y$eW=>Qvhq<^15}z=mAF^{W%jKR@`0Rz(l_$fONiL*CZwN-~%=gro(I~!rqKy
zgM#=*irCuSK!Mj#e09#717G-ycIplb;g7vW&a~qc2xu2mIl07%)X$7T*?)zxR`9sV
zQ&9>;`OK9hXL6&CQB(FhRTN`##W+gdk)f^M+GunaFHV>a9+kK(h5{}DU$d@}q5O!z
zfu&SFOb?j#eEC-#`6@+zDDEZ0YqGEG$t(Q0_4?|qM=6phTAdrUs=n#pq#Hk$CV*2%
z&;B}PA&pJ19vO@=lc6_<lGjl#h+W&N-+FS(qHmu}Z{H*d?(L8{7}zI--T6<`pGC{z
zu-CVlp+OQ99jWVDkrcuFdl&a>B+BC@<K<?#Ari<w8)iEeB#K&V#I3MQ1x#18vj09!
z0+aowjgkFg=pg-g_P=^Xta;a;lFm(rW9<iDJlZFLop1gl-JDcH-?!6}PtD12@Q@rT
zE=eN&kG>@)RTb=s9NYUfjttGK2ercUrSZ+>mGDD8s`yuE#^b?fGIW0PdenYI7JoEF
z=Ezs7;r$d6-4i<sB(Z*wvAQdVCweMUJC@b)`jCEfVh06w<(D7Hzb=pO&8@Z!7;2)0
zddZDLetPgJpZmc;vI0hL6LhHc*Fxdo@D*z%eK2)!dGabr5xsxjHP5@MjW<-(tO{22
zf&Y=Y*S%yVEO;cx_vMBT-qhkexZ^t&44Upeqf1uCyomOtw<mS+E49?#VA22<#$7As
z&#B=1Uw8M_@Q~1dNspe!VFcS0mBojHRZ(GA>7=~_2~+fQe@mGegVo6sjZa<GP^@C|
zXx{-6KHDZLWfW}!EMpH|G0CfAeAd?B-8)Ix=s8zj(rOCg2~F*qUFv8%@u%paI0?Ou
zR5b1rGKXJ_f^J1eHSp;<N#T@0UHlum_R+!90u~LLzU}VPz!?MSxH4BARI)26|CmYx
z(4^ROh-#wn4;BlSpIUgJyh-Ab2S9I>>DYZ;P1O0i<~m`ZiK5e7o<I8lV!QlC+Qc;R
zzQnKT9ro(D_AYk2n3E+8_V$Tof6&0Rj#fcg4OJ{iP#L+LZwaLDb`^sAHSl`yQCZ1Z
zCG6gJbo%BuOZe%R>F~Hg9j%&nohvI*z?KU!|GUCv1z$UCGQ5}6kT%w$UF0i=LIg|k
zh_n^_31NGq&!L7y>}~IzF;ZwKn2|IgW(6&`de8GPsNx05-1r<HF=QtnnkwJ01Y!EJ
zLvG)cQQ?&8h0qcqoQmdUZ|t^&Yf%LucdM09?QMcq>o$H2c>0m=Tb3o18b;gNM=7Fu
z7r8^Yh6}g9ptdf$T0%(hk>@U;fZ6BU-j5ZqqJF>e_hM#C*kZGVMVUn&<x)j1emTmB
z2mRT7LMs3gj2&}76>RQRb;{{SpErp4iO*><t^f};GR8z*q_H<t*>u8roj870xkh%1
z2A{Rs%p4^o(aC|lC4zUE(6`#N%|wR=J15W2Dl>><iO~<b*r|Df8YuHHHP8a+vv&!w
zbBki4mr(q^7qi5dwa2f&SD3@PNVJZKxiAhfaO(CAOcS+c$#WqKX3%0UaQIlNASw(k
zI*VmZ5vQxZ$Elc@!PbAVR0BQ%Z13-=I2AKR=+jny-%2!v%IB$7{EzwY*!J_(GPh~s
zqd=X$YL^KNpo#eU5)W<_KEQr#ZHCA*ravOAVgkK(ZEwkMxUj?X&6Jz$91(Q(t#NF$
zF({m!D?B&Ofxe;FZ?+}Q6Mx#aP*3$5!D_nQ+-@6oR84%Xr6<2g)I9uEHfC%D@7~ny
z9PejEWsQ~ilwV6kfY{ByU+)=0{l18(GvzF3$#<21>(>=xS3oG$fz1%8DGX=aYnahH
z&3SZVZjCtR_^?hQ%m6%v9QO%MGoh@&k;B5Oe~83MC9y5zR9K(UDe~FPgekYQ120GZ
zBTlanHt+XSflkJ$-*21|3;Dt``_Is!_*LJO;$D4V65!n&6-HzVyz=5|Gd<>ge7B=>
z^N)O#7(KA(A|qZCJ7Xd&%ZS>p&#r9k*MoB>rpkG)G2&|cT_(wEOc;=Ck*sn=4>tNf
zCyCTCBL6kPi2@-OoKZh?I$)Lp5>8=GCag@zdqwjXM-?k>r#s1O7*BzkJ!96np-gxw
zvP)#zhaC@|k1oy?p@2edOG^tAGj4+id}JCYzArLj?W`n&3Q<!TU(Jk9e|Qhf>2u?@
zx60*<JIIiCkKw^eA`4ayJ$6al&WlgAMC=?FNpSg+mPAe%E4EyJW&Wg<57&2^Itt$-
z0q=Og50hjzJp0azRQi`6YmWSzE8j+f*~0YapO76R{@ba<wM7sswIqV08A-55h7f%&
z$%z6j+1uJ53E{DqXV#Zvb)gQqq^@Uk;bD@A`jDOo9+dM_3t`oT_B#fPthPM3Uvi(9
zb(birz0y0<dQS%))3X()a`K^n5O+-P4RLJVfBR6Zy$%>(d&8Q{!H=U652ud@Nn*lE
zO_v{|4(zcV&AlWifN^(THO2%>V_tjnU_rMw$OdclKHV;eR~i4E-<K(iL)7`BHygB}
z-8+lJJY5LWy7kVE&&eTQsdef+YJ+0bMxXYoFlyL^51vz3z<2jJW(J0}!GU3!78fdt
z&Lh!Gy1|P0MDf>)w~9It@`>;CGLJa!u^$=Zd8>q!(@n>2CF{ToTT4flmlD{+-ABtZ
zQbE!T-xd!ET@ZZ6>+mc?3MJZ;Rs$<l(S-58<V!ueAQsL}pL#(C(;p7RDpJ(3af{|5
zcW)A;xSt(RcaX!b^`opJ|7l=fTkc=IWfH`f4$TC*%i~VZ-+|^dE&M0;UNEwd428CP
zDx*RbFlsn5hQ2`?n`^7mIKwEg=9W3Zm!*h*inZJn)OE2nHglWxu}z&5^e#r@g%T<U
zG!=Q7k#Nr{eGHz_hae8`{>2$(OtBHaQ}K?3-by3;#7d~(m}%|uOiUGD9$YqVwkM;S
z4ELp^-v;2#Ryj0oq=sQ4cRCa9lCk63%;l;RMi6ep=`QZ1j(vZxkJGi25mX)B_D&ju
ziQZ0Uu+>1SeU<u33mHAcM&CNcngZk2|4oi7XkyV=uA<*HGOjXIri6)^gN@74p_D#N
zyxBSC>mo<Sqz-=}Qkeya%)F!HKB0waUwa~y!%4`}?e=Lv48Z6V>n`zTE!1S~H%T_q
z#XVd`PTX$*Y<_2mH;-yzM{??Rii|dT+<D-2D!>x5^|jLaJG8K5QJ$!Ltbw$<ll!EX
zEa3>R>e%jZEgZF&o}cAbL%JVd9(o<Lf{*()ZoB`|#0aej(=r=nJg(WEwODEed{;de
z>{K+dG;o=8>XZWV?~{sj_+kZedu$ZKbTu%HYU!`BQx>%nlqn7qR$$*E=lYRb9ocWZ
zXIEvE!2cac7B%R%0=wSSJAQ4dD0yhHK21~@h2u;aoS#@h@wTYe_r5A9<A39O$9+Dm
zo%;IKFLIOb_{VZ9*OhQ^!=dW<8Fq|ITKCV;wSpZte%3h0E8++5i7P4%4EXXtW|r1Z
zmcWy~)y$ej0qtU`qWY9|B6YC+LuQC2JTQnEQn@aNo+gJ`wy(_+J<onJQ@J+nyoq0U
z95?6l^^}B!{WoHN*O^kiTmWUAi%Ji!N#fqiV!ykG-x2X8JF^QZ0IsZF0Uy`J5GX%m
zOd^wMU6dD97RfYt8N>O<`I-n0%;2AFXrmP?ryfmsWC0iAv-QNBh49Q!`s%tvH|?3e
zc+P`<bLbIle_CuIfJF}$8kw$trk(V4XMW0M4h*a&vo@Z5c$<Udo-6-_rX=Th&C<#Y
zsuKP>`8aVSzHYePb+ebo?BPVc8Ep#L<%L3Y1{^r-!W`FmsE5`=eLMcF(F80k3KQ)&
zc`xOC&py|cF52peW~p*!6Hq<-g@|BeMv-I1E7YCuX!Y64m#tikfr+he<X|5Io;KEW
z)(n10(@iYnw=Xb)z5i1oC9TjQCiCYsM%B>Nn!J4ye;Yz|(P+R@!9PMSsPBch<w@dH
zTTptln;{g7Q246e{3gWw8+iY*)e<L)Y|>xX8o<?^F4`OW*NEK3+e23>S_zBtp+SEc
z1Mmo+&e7PhLNq7Rc3M@vCoGNqh0k81LgvP+GQC?%#M23-$e+nQghcIq%JXG?h%|E8
z)~B{e1P&ie|8n3fQEkr~sOF;&Kb0&`mNG05X}?sJQ!<B%eQ|R0=Lhv5pFV-~Pja3R
zV^LY2P8=n!hWTG?aMy!6cZTG-z&T<x|LN87&@sa2VmYn4hXQ)CqVN5dX9-;g8<jml
zKM9QkzM3xX6!<KBRFb!RmMElbb^0DPMO;nJluZ~QL*QER5%SGh;(J|?d-#r7La*B-
zg?yY0QyNh!T{*MFD_#?E<C!_)_FcYU=LHgQ*`NG%t9zF4D1Y$hWZnYtJxq4@`vem7
zYo4`xtTRVw<Ws*&`7RLxzB~3k5GFwnl{tE`bdD$+45P+wTOl57OJdG*(*<Ieoz%na
z^Tf5oY0t%-*9bA4g*)dq@AFNm|K*klE)e8z@n@cf{U)vzr=D1Ot_^FEDh}3v7Kn_0
z&+JaO{3WWnI;H5Dv|;3(j<f~)5>YQ%@N%C59cug9d6YY8fu^LH`4`h=LZa)^o2p29
zEUf$>FM3-O`g1beUf)_F3{<x(y3I4-v;AhN2PQSZ*;{<CvG^L{z4m6YAc+a{XLoYe
z*=s=c<u;9`SL;N^G{+u8TNcb07JcMXq7MGHjZtAme+Zr1-x_Ds*zmubUFTm4se|&X
z1lJ$6{|FX7l=yALfn)5Zyk-~GAVa!Y^=cd)rk+z~`xMTF%!i|%xG|_fh(V6r_D#K_
z7MR?!W0nW)wR6^=Ur>di5%(!GB}U{lrKG;><U{vM!x_7TRe{Ot;hf?FCOq!lvL(h*
z0Po*-dc|6y0s#WU6aiNj>>hd}MENd=14_4=#dfPe<^0cB&&~M0hh(h}6$)dSUt`t=
zn+o*l{g%&A=RnyN_p^C7L{a^dN?v@2GQ@xKJDlywh4Jr0-`^+}M-;Ev(U7MMe=-jI
zjcn#YMb3})&C`--n)C0O(Pd@me`ov9<PjfEM;ILxKQ4n?MWpu6ZQAd;w64#~3ZU0t
zGhxAGIn;;}sP`{Y205qn+S?U^*jW3rd-=CKa?G!5w+$<U+y0p6I}Qt@y<aj%=O)iB
zepEXChNc2MxbR8DM08WnRkPgF+x&ZbhHDmER6sS6>wK}1IC47{W?WfS!Rcz{xsYg8
zklOpD!sUP@GAZWGJp81FBS%MG8~dt(bJ5tF=5lGgS#qvEt6c-rS#?_9rK!W8Tifxl
zpd5zOoqeqMP767bJUtAVHNo%jhn;^8%cIeVO6rGx9n|4Jd^F>^7Gw`QNYuViz=L(A
z2VR7bu!pZk@@0<>be^m-S2Iw;)(r7n-Vic|Fzn>qT0jEFJ2Ih<9xJ1l$Aw_wBNX(0
zNKs7Sra(#zQS4@<inFak2RBUgP*myzIl5R6nt%Cmq&28v&8OIai&J{27}V0j9YTdx
z5BD+)Qw_}g{b!rsNqy9*methtHv}`8?#CHLn%JBux2{vIkDX;UH~f=~A<(R%Hflu+
zPycBBPOj8PKH0QW(P#<{Sw8*UGCF8j&D_W8p^vs*rcKri7T~A&rp1t77hm`i1=A1p
zFrPM3s4fE_la=4t)~t&o`(xVV?^DoETIU6)wk0$tDXnJ<k&x|{hYaCF#vXGvdpkud
z*p)U|a!7`R#K<Gl@g2Ijt>+<GbHxgT2DnAp)^stWpnq#xmL|$3oRgc*wFal(_wVNJ
z(?zA3hf36Ys;F%4cr!-Q2CBpO11tk|Fv5wSwdaB&4hLNvraNi_+n*!bNs2bobx=Ns
z|C2#AHK~}lF*ZP!fBvtdS`$xoJ3x}VC=MFVjxYw;fEGqPQDxA;m~>wiW_Lcc2u_o4
zpxVHdf`0bHYHHZd9#oZW&xGH2qdIhltbw_;F)NU&f-y_Q=Xwklh?hF~9q)pz;bPRH
zU+`vs<-C{szD7JDwlQW6=WOPs_fz)0nxO)|n$NDh#qpCin{6xD5M%{zAsTnjSjwTv
z<LhD79;>v}W4j+JjafoUt<k^SIw_2?ocZ5mBpsB0)nhC1w1is5+>}G|;;1p<R%e{g
z2saX(J-9yrToLx1x=IM6da>y5o-SsXek@X_v=v~d6X}U-)+P_;y!b6=$qL<32IHdX
zG{~H1a0@uWi}ySX6yt>1z~8scsqmf!IR7me5Rl|RyHbhn>M%B_##?)LRGEW#tt|U@
zM`k?IB53j~kqv&;4T${eG=sl#*=rAG=#b~W<$qEhY@m24M4n;Y6lCvM1~hQ26HKM0
z{NY?|u$4KPdqK+-j)eGF-)CMRQvOwrtCq3C=t)i+E*}%9+)wJh5j8<j{Uap?99co*
zb>={JnK3BsVJMYN>L&{0Pd7PDvA|i{-@boqMvy;LtlqSS1aDVo_5B<c;A<Mp&E94N
zEoRaO{KuMUjW+D-TE|(S{JDtpLXjcxS7g0pO6jE~OqvZ{cVL0BUmq1yH+i%0?Tg$6
z_EB1U+V$EU_AGFfZSOsqlLl}-Q!O?(?<XzmzROdFV=VC9pHOk^qk>ic9*NVtXKCL!
zk2KvaWPxoL1wub=rGiE2pJk9+pmj)xP5h686<8RSIMbf%L$st=ZC1k)t?^!#wM!~1
zWKs@)KSa}q)`1H?<3_8r5`!1X&6aGSu>R<nD(b--F5&D)+3Pf=^!jfsqU>Ps>iGR0
zTRpJ5Gjy+N{txZaVdc*>ArAO>e|F<!Ck2*EPj6qe-k_cSZXHr)!U@5<H8@reP(Z&f
z)a-Nz9ULQR+tgp?0`5Cb9r24~IQ-X%_30maaO~7W9(EpJ+8|ssQpiAhWDJ)K7$NlF
ztt;oMc|oUWe~N@Q8E8(zKO&-;psm>Ou+%F)2%e^#zx192t?8xSj31fd&e~~hyLbG+
zqrB&1Z6pc)waMql04tPT`SXNpP5=&_=)Fv*MS_u`kuKxsY~a#|;=MXTP%2ATkn(bq
zn}RhP&mQD}V2+Ec8p*;yQ@AoJXsHXIj?S1yNOD1@=b+dPCQ&$D=jv1US_f?5M?u62
zH;63!Pbeox44R$aN{$@Ufu1_{^2aN@aDZ|yWY9|j&JNS*s0rx+`-W&vDK9^Se9PP4
zWG)3F%Z#T3KWc+o(HDm{BLQe;z1JUSEd%Rak3Wu-YD4jw!0D%F1>w8f*p@^?Ie7i)
zU<S)wZIB=3-}|#u2+pfdjU7EG55~ZqT3xISO`l2)Ypg_Id%(_uE!heX)Lq}C+@%dC
znDXD7z7qv<C?iwpPelkns{L?YRtH!kmIL;m5r>-Xc^Cbhl%Zz&j5J@W4v_nvJj*qe
zgj)8Dx$6H^z@7O3-Aj@#yxNw)z$qmSH@9^8c2L#eilbm!`d?kRt?*<QvzRQX_}(2F
zs8ff?;eZvvSQ1<>{e4^{Lk?IqZy9u2Yl6q2*6c({GDO(Le&sKh2S?F}Os;k<`1?QC
z+s2>BAi0N*S@)d+Sk)VPc-!iLTT>GIawP@A{PZ3zuPB1y&o1G`hq|!5FL3|QQa$+A
znRiu9SsA!U>6udDByez0YdP7j4=?I3yB52s0E^xh<$KIzxb@;t$}=_ta5g@$J0wyS
zI=`uh$AysLA6X>e`cXr8W*H+=lBouPN%XB5jbup45;R)rH-gl154L-S>d;?Wb&>un
z8Dx`!W;i$RLk#1U6plL@;1ikps<w>`iKd^-r|He$(tfR$y(cvx__xnFvp6!GNIdO4
zde<DPce&UyNNGXdVVhF@e<axBS2<Wmra_}VTRTgZ78t5uG5TXof(x7>C#v=W3>`KT
z_5Y>?w2}jd#~<hbEqdDX1e+yHdRnU0Eo{~+q1lb^q!!rO&Rq@6w}j76Ol!PfX~7T+
z`%J}zI=C8GyjD`Mg1niaR?b6O(EVP9PlTijHub%GX^B=a>TjTZm(T?M?e1%>9!lUl
zI8esiY6XtLcJ8|48jySPi}k4lc{p*2S@-ZyEBKw$B~?G94&Fw+%I_kj;kWN#Q1grx
zXgud`tE^Om-zs}gm|KcLlonr3XRj4#dz8-m98?ALZZ0AP3&N7f+c!d+JR9N16<V^Y
z42{23S2wosK$!5D%{5;usJvcuT`EBd#=qXpG-+dj^l_044{<992&&{5XHtY$8^^yM
z@uq`4i^rx8)LVkXXo-vWC3%oL+}Jmxv`pJR9^kCtW(h08QbNN5a?mC2zkFWc7p*ct
zbv$<xpkkwegS1N;jLRgYL%92B{ugh5+8PV6BQ1u{GEV~3G_tmn@IP7?)vl78AAn>~
z6v`|j2IoXVKZ}!_i1DSA>U(xHsMhE)%Bc|sw%zsoJ0?F6v>j#%>VXz;kLoBBpCAaQ
zY%epO_39<&pYHu8nq>~^UrPt8qWNK*{t@4w`~3t(K=r)UYctSUi(OUU&I|ts00960
z43~E_*8dyE?U}vzeC%g<?D@Gpicm_0qDjNIQdUKxkZdA_R92!;w)%z7yRubg!%m3o
zy)u6OeV=om_c_<O@9TA4x=-Ft_gv}2qnoe#$TAp157nw4{&9i;&t5!sPcJ^4*K9mw
zY6JsfN{X<}2APDFl-7(cJSU*vASTEV)Ca9ewe~Df>~_A{=Fd0$8pr-bh9(2h*`Jx)
zxW)*#O5GO9UE1(dYS#;eL=6D+JNNz_p@&S_QwPoR8*pAdp2@gN`p|x%U@S$D4k|}(
za*x!!$3y2(pk9q01X;t{Yr0KLC1gwdd)Pz#5lK<MLrxFMTSWz<EY~pyZ?Qbn3q@E3
zpH-R0U0tYN)$xy8Si$Bi&UJrOuE89$L&Nwcbl@SK^C6{wOBh>#@2S#<Em$DyR_<X3
z9nd~JA?j_vh-JPKZT9#3h7qsl1UJ@dgUNHBPp8)Bu?kw!A1;|5%!;+TWWRwnEDluo
zXa1hU7$l;D4Nv{TT<P84R~Kr*_w;uiRjhNEbHGsA|42hv^c}g!Tk2X6yhS&);W~?{
zT`a@782(^C)u(REzoJ6x@4uN{!!y{w1{O)h{xR$^Ynx**kqQ&#0oyqzW-!kyH-qyU
zCNMh>`QGFbP5ATBcEL`426Klk-<kSp>}}14l!A#S)VOL*^X{F&@_8$#&dkkX<_El!
zd7CIuJ>hf1@y!h8v(H||`2IZRay(D@uoDF;lJ8y_AkAVSi(`-e+r5bS2T$l#_mJW7
z=LG}*+*yn;_uQJDe;F(P74p%6oeV2D&xLODIn2Dj<(%K<3Z|4Abi>tz1WOS3@EhGc
z_Kw%X`#9%1MxH#Y+kb-y=Er)os|I#->k5cXhYhUdiYa%)TMY;>J2L1vxPZaEd#vG^
zTbNyep{*L726WBxoatd%!f2%(X~$COpowtryNInixL#E#nz38P-n5;4_mG|e(h})Q
zUuUYp6?^UH`86w;?gl|nFN_hy3*QTfZ>fSxNvB2XnKg{(=ZJqLnHhQwr=KRCR)zMk
zi0%sYf0!RDPulnv3)J==vANWw0vXO56+TLv*wglF8Eva<u&^!OOlPbDEpJvPtL(S2
zuAwY}b~#Sid~flftxOqi{nmNC)lUcePR{hF2Xeu~+QaXB^_8JlraFR$$^ZtN*BcZ$
zc!6=*t+cF02_7E3T;BA85je!1WJG-UAYi$T=<TcoJP!+uNx%#Zw@&_}rxSon)=?}i
zn*>m(ZT%NO&k9~!1DYd+g79y=@~uJv0g}67eaxrXAj|B@rTz$EXm0Y=7q~<KCu6fu
zHXNLwlu4&66)Or$$)DUG7!W}BXZKp>F)r{ra7U>Pi9=y){(%i~0yt+me2)6X1DqeE
zwRs6raG^ITT!fzhL3d6{ytCtjt2ti(imPP6O0nUnraS@6SDuz$>fnc~^A`jYEaX68
zPp6dH0RsGVnZNS*h9J;{Lq_A8<U#7luxHp)0vNjLGF=2=5LEsZNxq~AF2N&|5Pl_a
zc*Fg*nJfxgwUw5_DoSwUFk7oosS;Q=yWBZuDGu5Ev5V8&%D`(XWwRQt43yq7qEfgd
zJZ%cSDmtqQE-7h#$;m39<9VttcwQQk?6X$)EUE+Ae`aoVToo$C_=~$g%0fP0^r!#}
z33B(bjd+KvgQ)n4m{u8i$oP-!YQs%|vhF2zM?WHbsA_i7j8y>Puf-cHLYj~eF+;Si
zC4<L=Y5W`q0SI}A#%}RbVfs(rZz}^$(6}cNRT{4Z;Yy~56V|C994^}H`H>2jzMq|Z
zEU5y&o|8BZf6{{ZRZp5kpf)UoIsH%OxhlA=>~D-atqs+i3?>Et=|aAR;13=db?~$?
z@V~m_FIJ1RMeE!8;Cudu{L5esxKX}a=lsZy@1z}fv@SD*udJT+Qy+;?KP-1QpiCRa
zC2CCnZ5l&fwP~ML2MKs`Z??7(wSjLYEo;IO17D|^k=YkyK#lkwZW}EK@mMiGhXZ6j
zZlre-qkx~}EkY^}73^1Cx^L8(0fA$@Cq<V6uGF`)8h0s>m9+b9@oO4bx;UFEs!*We
z(Q3iu6(Yo$%6#R&Y7Xze9KQ0hiwt^Ae9}MtRAFW%m63;jH;^RX)>&|pAvwRtBGR4!
ztS-=Fd1g1rgdXW3O%OrzQtdF2EC<22G^+8q-S9HB1fvhpfccun%R;Bc!SI4YY2wcN
zWy<R!_5n4hp`CmBb%7tOuH3afe112Cbw>VG<5GocztQ0j57;2$;Xoaa#BLCb_Z+K{
zPzJHnIi-Ks*06DWwERYyIfT3o&3`XS0N(QOVM<vS=Hp=Yh}py(Sc-0v%Xt+bm-pi_
zA>|?5B;y8he@g@B348H0ZaGMPWQL5bmT|*pVI|f?8vMtFZ8Ydg!-$LA>kq7Ss0b6Q
zr%N}3`??G=KmEm_HeCOFS`H&pFWJs(5-<bu@WC19WnpM+`AQu#U_mXbyw&}Y0IIK5
z;#>1~?%aok=g%A~nw$^5o5liAq)2wG&g2CrhaAjuiw#xFXv(DWU_jmcz#dY}3EiY8
zKUu@s(cS5@*Zz|-g>b2LSMi;}$7&IK2*vE^qp#ptmaYk)nCRJ0EDRu-8l2FP!jAq#
z<UJd7GKSxE<lP;$|1eX|FC3c=?5Om@o1WkZBUos7>@MiIh<US>%8qQXp`Ia$hL#V8
zAoXIEQ{dDD=Ds*5_w6wos@fg@cNe1}T&SVHuQT6|wH_y3_+-q6<kT}d!uA<JJI&Ib
z&gm0&kv*?!a)K2l9mv`H?5RFHC;d4)RPhlPbSiT>{)QE)>^TwlVMz}v;-#PFd358v
z;$mfIqFIp`-D`&%NA$qUPJ(r2d>B8K)OKX?9xJ+A#iDrZoi1GbX|qcBGlAzM-qvQz
zWJSvlSU33<b%D-}PgYiO4xiHV^z0a5MYk%_KAlO_fv9tFGH-+zaaZQU?W{C5bazrH
zo{vKZyle$2pMEUkUM-=;^i4ZDzqw$#aaS8um_iCqd9UG?ii-<VzU-)GbW4kkSsO(4
zG(sOQ{=?h+mQIWv;6QqRB4d;zwIDS5M_19gE&P7;%430poanB5(<4VgEnwAYoaA$(
zLtT>J+w*SjLb5kXGt#rDuzw7mx;~>vaRzM#f^A&rMZK@Kus#*UUU&4)bupkKn|9}+
zBRoi4$u;Ijn<ivSycl~f&4diE)9%fO@FH5Xgg>vRCakFOMQM95qo~m#4!-MrD0?_A
ze0|5angTRVQrlV3*B-Ws=^%d8D)8i1KcWCV$G|B6UN&?&NI$7DR{+Hbagl_*C?N4F
z;fT&RcJz|@(9`7!L6qHgGM`(G0$&HW<Nn^_M7tHJ-F^Fn(cgp#--qpFu<I%J@S$;`
z!WLW6xz8dfuI;Z)^Jy}KH}IwMsq&z8ox%I*?qZ0M|4xDi9T{BW<L%c{c+t!7y%{zX
z3FL$`^`9*!fwSa;7^xCI6cuxGP(xS>eJIMga@LOoeYv>wtwDaYOHCykWMxoQ(6g=c
zjwF!1)`UeW2_oYw5*HJ4WRdH9!{(YT3D(1BLo!2z&}Kxdzi*oy`X7gL1idQ>LNrqk
zuC58A(B_MU!CVRmUUkdAe?$V$gtYTvk)r5&RleDnlOh_v%-&i#MS}GB?_*m!;>f`1
z6w{u!1mycdY-sut8M0Jz>~l6G(EL&PHBSX)^gj2LIL<+V!s)qP=KWG=aNnz<V<{?V
zsD6~s<pu?~PY==lcF7=O%7{&qkQ!ooUiX4`ivmTog`TNpStJ%xE4=rCI{Me}ba*IT
z6Ihw0<?}h^(biXymm?fRBt_v~e|v@s^pboE+NugD<Dr|riVq2eaM1sur)k06m9d<k
z`xMc52PRElOGcMe=FUXXv_WhukzUE0fPPCFWiR+rkbrk%l7XuZyyHIF(~+cv*baD0
zaIa9%G!Or6JX06M-e5r=%9N3p$O$h22Tk-bqdv!ROAp8~#ZvV3D(J_d-T0n3O>}^o
zdp_LL0Hz9fZI^3Q5y7_G?$i@awD+lq0Nt`7Od1?MAC;?y4mPGREBb08zm2CBNg>9-
zOh``*yr_;2MIV&gl-5Lf@>idP@|wbk^VjAYMh(>ImD&;&M?q3;4o6z!F(_CGp>4Qp
zpy|*gOzRODr5-fOSq%WlzrUt5oTY(M#w>@Q<PlNfnn8M}oEZ$18O%3lXdvO{!%wL0
zJ9=I>(DQm@2BD<F%!zXvDB*2>WYm-jg4w`F4e~Uwx~26!X;vMTXbGpp(v*<@HE(GJ
zKN@t;z1eHETOB2ot~k92Q9zkV4|om~(coFea_hBoYDfmR2>MYki^ON8jGs2sfM#))
z8=O>8r(yukyjK#<)1PU7*GPlCo~(b^)Km~P@0EnqVG;C-nQ_#0hntlJohRpdl@QO~
z%|J>sKbpT&!7dO$1E;X$0cU>#`gr7d%8y_!WW}J&^4Nd|@>-YD{J0d6)Kc%6np-UB
z_P^8DI!4Vv?@gi3)MI%R`GNWV#d~z9#Xw@;=_oVUw7p+<PfZT3igG;n(^$bf41){(
zmCeBXw|tcLT^Zywml*lfZ5l7&%04hu4RBA_IkEe*B+}niemi}95Z7jY|EcvbK+Qt7
zy@#$i8nohYeKygGpSOP1v(<t@on>C*#X1qRA<)3H`THfV=<(0QXU!DYPJCVQxg&(0
zQx2U9QGSatCA1iH5lkUDUC}K6yZ|~G`kdk8;d;#0?Sa^32NRH0O-TOb$A^r#ngfQj
zKV$a<I5HQbjDh{`(X<?I9@J{-@ixfh3&yfvA>?<R5%k_>y8YLB7qWUpp!Lf&VMka9
zN#|LOpkQ~^XO-*h=#AW;={9l==FUPLxwqdC_SCm4tIV;WG?iBS9)q{oK;&Q_F~tC~
zyzh*NRxqJt2dOUCo(GulNBJ<FaeXMw>bu<YkpVFdb0kQH6yo>wHBVjzec-!Ryhi1r
zM+4%&FXJCR;TxU3`7cv<c+~pvWG`_W_tJB@UH_>CKg~40Qv6RBj<>UKbH3WZ_b4m1
zeA@LLzvmXobNuuUr|v)a>=v<(AKf3f=yj+UpX4Bs{2Fy2Y09vc?b9l*sn_R?*$?6c
zW$eDcb#=h~CEfU2+ZFtfpReC^_%JRtJ|yCks|_6RDuSJ`jE5FIg2kFq{7mp3MQ&+r
za7t8eIgBmgfgM`+>p3TIH)C`$F-Z#wpXizXFKH3Cv=hrcbY>dgtl`p`-r<qSVnPT(
zbrElL>Hpz4GK-JzEfHjSM1`}17je^>1-v;~(sTXAJpR;Tqq0$)3gUrF25x^AaKq$u
zRaU=6yy?;UjB1u9h;(n5m2ocO4JxPe?M^M@y`e{g#L1fA=NA8Y@c1Hb=P5tQaB>xo
zxZUBAP)z~P*+6USpNseak##B2Zynd=7?p~)qreDe#yNaz3Fi?xW6)l{feWX-(co;|
z;YA$TUDtXUXIf&ze~546wl0qt8JNhR6qUhZztcKj^~AJAf1^Vs@3WmaFcQ3?C=PX>
zTE)FGB;J?mGN7QYfNRD<M0g^XHTdV{8ji6qY;2V<qQ)`3xymLDsFeSsB_{h1SBqjA
zt~$t!^gZX=swFg_kSw$qU$cRGeL~dRysRkLqG==4M;#9Mn7*4$*}^BK4kq)iupylY
zNy^1<YA|;_KID}h9a?N;L?LXP=ugzA*ltrbIOpn8LiVCZvd!tSnpRxsTH%@RXNpvz
z$Sm43rH}!67mKk}R`H<UV=>NoL{-QolPryRn2?RiZQd{)K6K@*!{6{y74Z8n-6roo
zGdlhG-WiQNeiT_Jl(lA|0+e4V${+Puk@KF+&!IFyG%9kLmHI~+1R1ndAG5L}#ZDW&
zvs*%FazmVw{XiLhwl57vGjgKNU~+iQpa?p>+2g`vrwqfxdFdoF7s9MKUz2CV(3gZ~
zt3k5L(7;zZY7xtWMmZgf>QyCCn_Nnm2a__`1<AR%@bjTUwLLg<qBLT3EEmMLmEb?^
z{5A)Fene3=>JUhlMZUJs*(#(AnVAAN7?=bRkLiQ($!$60^`kHMk+m|=-q1+)uZ0kH
z=){@TAO*yheU|@8rZU85rC18z5<x|KRz!D66Hr=qY67o<3jBB_ol<v242fm6Y>_&Y
z5cWc`ps7s-g!ICD{K6zqgdwBH(KHpbCmD~0GF7<uk~ExMCxyIPMS|pRtD(+1Um4F%
zHL$Gk*}EVli(>bioV>ilnPvNZW97OU5Mett)$JsQz6{Y_Wp*W@RJ9<MfFU9r)Le6l
zE|f=ZliM5e>J-FqnfCq5;LaZY*i6U}R76()nEhO&G*P@&bYGW*Cg_dRc|Qpup!=6y
zAd!xWZsj+YmiSO%O})6_-Kr95vio>5xtWT@3s}mOHngBs(UI$my9#0sx}?bEqlL<U
zT}T`))PcfMN)x$96$RFjf4-g8LXIuV0YY(lK>8u*-K@96uUic-4Jq2FJ978o(zu<x
z{a#;tpWhDeI5`ICNZLs6!`Zl_xkj+^&_O#Sk%;J~4cPn!w2<#s&8kYX3Dn2D@!1F<
zp=u_ZR!2+=1#U}iIgDaJ^Ilr~s76MM%W+Yk_E8br{LMz5r5!HZRsThcCnFtQ12)-R
znyAIPDv|KZ3<8?ZR+C<l(PYF=p#W|&DiVBloi3jSwsu(R9#1m*>c+wQI7J<KFNlcR
z*_p$DDxKud5fUmbalgvnuZ+yMs_4|3&0#YpS7U*LgzWUn1HUmUB3bVBm);_~A!ct-
zqtd7bI)D0Fh7MI0#g$X))^vA6ZBdcde26;Ik!&x%AS#Ab_qFN?5_f~N93$V%q$)bJ
zwKpTunIG}&wi;pDHixG-HzfN>DriIF+T6pJY$!F->Nlmt91i$12fTGqLeuP|1CK6j
z;1c8L$nk^baIlH|eb7S@eWuS$mW&v|pL<LjvG&nG@vsstI$R$4emF++^8SKBsJZCB
zlQbCi2<$w(lSgTEqxIuX)7ZYdYhO5f%%FFD@uK7_DHN+WX7Q3^6(i=tRVI5g5GPg}
zMUutQ$5|Jv51Ct-7@_iaNeckc(%LG0R2a$kjEO0}q6h2Ar?tEG15jkl>6w2DARDjE
z+6H4r2xD*lkop7z7vWIVIz~QpXU1tRgvtcfohky3xjTJuAgl7}k6lP7TQ?`?4HI0~
zc<DD@WddJ*Pqh?Fv!Oe~YD-QXOi<Oaa`IxIF-+u%q!j#QL|)DfZg>R~-1T0#kicRL
zKWc5|6t}nWE0N7J4qi-fXFRB4T;B*fz7RW%MAz_C->HQNK_-}>Q}OxjZ3t6F@=Otv
z^Z59IX=D9-M(CX5E*dO101l>P<vriW@&4JFeU`f!At->-bcEgjLg_j`ePtfR>v9O?
zN+S#~yA-!wd`KVO{h2ezqgwGOkFGk4hYS#?;$9o{N)OUwE%;wujlr3m436G8#sK>x
zxX10;^uXwZVW+He6XqKhwc)PA0B<6F&UakWg*xfI6(;#z*zQAo@fGR}5bt}-Grv;@
zjD(ecp~&BuRzl1}J5vS-7w$Dqr|CdoLRKT?!zlKv@pfa;6$Tjf3P|%S(+0EsK~Z$^
zli0H_3K8p74DjJP+Yc_HHdt`~<6R7!#by=6Y@~^dFjQ3NYxGhJLVTqq7jow@>-fC^
z8<mXkFzwybzp7fmEY{srQo4wd3%a^|uP_09>-<61H&jraSv&o%WEm6O)vOdtV}^;r
zbEZ){eGs=On;S1!#eSK(6HgejKuP<<=iYUiP@mEC^3|(#EaQpr1ARwU2s&kXukNTO
zjQz43oGjeH2K3v-UO#4o)o-?v2{RP<^d<J5ZT%L8Sd?DJuy8;-bv|q=k^;9%zE}v|
zq=T)jSE18SIDs|zbN$**?`tv9<oofA9?B`Y9@NuZpj1j7sZApTe|2BcQYQm=MpqqU
zJ<J2UA_DzBEs$XD>zv*-872@_vAn2N$qS<<=bqj?L;?#UFYR~`GdSBE%WwS42d&Sq
z{&`$Ug!5YedH!#c1+?;QoY=Jm;8$?J)jE|3{2Y9-1xak6Mt91u{fQtH>g;1mE!O~D
z-Rt7#4spQo>yFM6O2Y6=BH(E8UJY<ta@<nT+y#}Y@k4*wL?F9YMzwHU9UghPe#i8<
zVO_qBPcKspqUue~Sw2&TKPR|eaclF!>zi4v>&X&e@pe-E#yNEe694F%=*kCJR%y#p
zg%rq|)?Z1asRL~azc-S{54u0K0uR#30%ho2;bDDsFxLF2lE*CwKKDd7=?vw-gg+eG
zt<=GFK|l0Hj1a8UHcuHv$V29lV=T{ZszY$3|6-}C2t>9-ysny3fUxVU0ss4|4jIHa
zgZsmxP|?;An|q!BSq!^aGORUVbg1xkZ?!ngHvIK*m{$T}<@rT}1r2!dQ7mTett7BX
zv#2S=ssOk81I^|yL<sMw%emby4co?47mBVLbZ5V_`8hy>tB=|9$)U3F<J3MLr4e;l
zHQX$}Awq#-zh`0UZ{%R@R8!8v10sknyGoINQQ%-bzU#_}JftDl#uNiGY|`}E&VAN|
zvwUL5+z5*Bz4o$q$T<pR)k(N?_EF(_nb`i!O9YUYHI9jt(gYA;5!o-K4aux4Q)wki
z;Q3i<>v)wWbQY&;9P!eD1A~k7Z7a&amC-L*WlV*AR^iOm^SZ#KZAOUKRE5#w(_11B
zs4%a~7-^fJ4=vT{LfA1i807SRBJ_6WKb<x@4{JlX8&qlUd0ri&c1P$RdQJsP+j6oH
zzcJMNv~ce`r~&GGwGFinQ6cd1<nNw76Ch1|TwCEHf?nx&+3IRdh`xVX<xV;VH@q}$
zw3CSN8jc6qj#J>T!|%lQY=GoDcNtfPiSRP6Q=6@r3^M_b%DmmoV8)O{W}hd5b$G8^
z9DxYlBCQvr`F47uWwd|9dm{KXt=Hu3QG>u2vCrP8(%@ECcRH96;lIHz0<VcX`Gyr&
zIKpTSYmXTi--T)b*?z^z=AQxtN<6N8VPOu}8BJmZW7Xlr;~43wW?4|%^3~dP-W<-Z
zoA<pqqXtJ0*sZ(!NWg`qSe-&wbGY(X3|!e&;bGGCa(F8Q$FdV>8s_G(pXK0$R-7^{
zT{_ZV7{Uwjb^EWevYUg*#1*fDn*=z~PdhmCjTMS6wK{11j|Tq3zSxTsig0Q%=v;Tt
zHg<Q>tvcD62I8YGPfop)2MH3#_ur}WSl+$%$7s$Bq<Dll<3!~kc=0IfFlhjL@#Ra>
zlRIXxgaselWR!tlv9j+{<zM2f?fVY6bDBZnp@!S0%MuWMrz0Ms`tZDWo=bQlK$5Y*
ztPHOhJdcxn=pQqN+bu_n-;xIKF1cQO)lnESTB7z%dC%Z8qBOCk!x)IU4?pW@5diVJ
zg7v=5IlL~8B^vWE1@+fD9TNV0(4qX|$jbf&+}?O=*JOeTSS0lEkxID1bWpGPOaB61
z-BS`8QE3bXB432+IyvAr|Iyd!eG9l$Xj|IeDI+lMGmpKr<EJsAlQ$AQ7H~<?N^S{)
z5u7kjburXsf)6?671|Z^xF>hx!Dd%ONUKt+zj%or=o~^V<eKMji&+18u9pUoI5stU
zWN;Jn{__3#XEck?Y#)h^S=5K7yG20_fooWeh{u-C!5RGhwsZdc9(_>hDkjZlEMYyo
zqReg*Q+V9be{aX0=t0fN;qoSvd5lp!;LXp)ar`Dw@@3a_!RddYX*p5Tn3s9lEyDO1
z?myt-aL7p)c&ru9ojm>*dxneO$YL7B-(OHIFh)91dGc&+_>W<X8p_4*YdwN{YAuFl
ztLebxjCJ&rv0s>$1&6jBK7`Y8m24kP(T0wnREE&CZfq?;u4(J+Z(LZ#r9owvHb_r|
z9nNL`h7A>m`py{*;?JifohO2|pn7w~&#0gUJ0@<uoMHY8-*@eurT-=syncM&-bk;*
z3a00W8<zU<gnR4J<^EKd{Z_r#_`fRb<b1il1M0&EE~~Q#Zfb&o_b|Wu^lR);303FX
zP%qv<tDr9n)&$?C|8@8dhGW+pj{eMc?!}7=E+gR71g7a{g>4mSIM?a9s;7iroY`4p
zH(L?~*4NMVPLCAf@&2#ZZ<zMtS|2YkEE0BnZ<`o*mhnBVUdJlkmDP)fs+GI<TqOfk
zzUy9i{{iniRxHACqz@02Iv9vjNU)Dv%yYD&7FReebzqlmKQ1hrLU*;12m(WEqk$2P
z__oMEcW(RuPFZ}Ki?%eN<SeIPEA0!ebkWhEI_?)Ps#3gp-#`OAy**y)+-$`q5<4pH
z+#1AFy>ky#`Kg1;v+v)(Ike;3b76k_?*GQ$)4IwPaW%N&(i(Ngv=g7ZbCRp+^AP@Z
z%~?8^T@4}~qRPefzvHTs+jKJ8BX}L(`J-ybRG~sn;F^Q=PdscFebPe1AN=A68<YD5
zDnKsAFSq%3<EbZKT=R<^!;d!*z9SYDaIb1i*X-!U%^ith-r?i8`F4I{_E}}<y;!Dh
z<~V>qqS%{Y?<ev90{{U3{|uLRG}V6?$8B!*wfD6**Sfa*CK4?rNg6^zrGbQ`kO-+1
zKYK(;C~Xb*YeYk(A|tXQl&rGH&%dAZInO!I=Q*F}^?Ezb1Z8M6s9>JcIX8y0mvKr^
z(7Ri6jA5_6i%i#1!S~~0-qUCM7^2ltE^OoDjM&dFb6e7t;pEA4rB~_)!^pCSP5kI2
zLnlsf=m%-_TsiVeXy*Xq5BXg3d(poPw*!tAzGsx+f8o_h`-Yzk8@cPwroa9%5)aAw
zdCVvxjQgpdN$)U2>jc;3U*j_jr8V)7n}ZagG4tR<sqSw^Um#!eg4R6a`G!tP^Rxo`
zKHs;Fd-{iAIy;&uQnbiWO;>I^8KHoh(M~)0>Tw1|`Oxk2`&Jka&!~#@a4En=@yORj
zhe<~BUgw-bJ!Zm4uzUy7<<TAWAhu?HicxBIIGnGOh3KhhmTA+G#}V^`f9hKQF@ow{
z)7Cv;BMw@hv0ZpWfkjxl!|Q<=Mw!b)PSzJ3#K*u}d?JS^@UEm)@@mX8sziPl9$(-h
z*a`w<%E%OKOFY@Lw`7rVq1r)*9>Ps%&RX|(M9E=}zqC-|$O@y3rXZMY#7F$TvBk%E
zTo!g#{2kdA%*6Nwa$rG@01;_B`1j*cSy)%K7twyP5dQjXIxif_#FASQ@s(8;ACuM0
z&)2gNUhlUKE-45T+-#rB&)t>5A%W0V;V&Enx67Ht7)?>4Hr-Yz<D?84Tl1(NMM%VY
z6YIuIUvXlp;@}Ztj|?`_y)x!gxQTUij-w^tC5bn6<KHj)%RnT*^R|IAA0eDR>n(g$
zhA87<HgCQmgL2g|^LwQNM2zli;DxmmB8+Wm@PVK#*nO5_H|-!3w10E*6+QBVXhKZ%
z<V#sNeAqQ|L0y>WVSoIKRG>)2eSGVy@=y+gQ5vj1>Y~KcF2C7RamvICt;)*TvlKLT
z{LFv8Q=B-ic6{AZiYl>G9qXRvE|1=<a@)B|N#g8nF18J|>O@TM%dPBz3h)UG;{LT+
zhM*i7r8o&`5m(Gz0>VBiLc#phxE>FMm`~v|%{`+-1k43lYeXqy>T)Ri@I`rI=Y@l<
z`_E7bo_S^Z_+?e7WO8=wQBWj|oQ(wP2t8tc(kkdVNdpgG=kF&sDG~H|Hj@0ZKC$@a
z{rjRBEd=M*vrZ<f5dOFNPv&bH66yUb#h>-4xXb74Gw-fOG${Nv{Ag}OMEutsbx>U&
zaV1RmMm05vSD$iz*2vNbL3!aMDNjS3puAj`{ijKsXIQTxYG_2XOyRLjtu!=M-fame
z(I$BFJ52V87!$8=p6nNmG{uv2&6;EjU1D3OkmGiCV?yj=(%yIn3q+_6*lyoMCGM27
zzN?I(5gnV}grrjFD3N>2f47}V%$jDo{+D1xbf!*~h5ZFS{@Gt4W3ETYjEZ|}N*WR~
z^=}u&ZEV1lR>ySPUyoSX_nmj0nLaV5khJu}Z!JC@2;n^BrAG+-Dm$9GtV;x5elUD=
zuPuJtDbyJ#>JcJ5OxMS`G>Om`wc<S@cAy^=PwFk95@8#eS&n~ECVqQPSm`C$;cL$m
zwR?-Y#PY!aXO~<GL7h(7c%#Y=t@}k%wAbqpHe-PWtXss0;2rKpwvX)a^xx-Ul7kk}
z_0NZK*q?{^=;_^69b$)?fza=|WDTOvHIDBDW0t`ce^IJSzz#dy$EN;1RwYbM9qc}@
zUq@$`x!?ai!4@wkO0{k~C=;5#Z}_RdX6es%c?G*otp(SZYHvb^0uj4Aj<kL!JFY2*
zY<6>6?YA<yP$z^!I1Rq~u&Ba=5jpxYdx;HbvJAQ4?b5{jKG)2S>jLnTIL?#BZi9_E
z<~A%dV#IaNfuzm5$Ow4DUX<r!4gUcr@|hkXqAc}=S#qop4m8()(EA8%bG`d>N>qSw
z2v7RhWg!gDtyIT70Hla7kvXO$qGfO&iIgdfGl6rmy+L&JQ0jL$^s^9y{FaBbp9y2I
zu;J;+Fe_A1BKos8%rkyiMC$%37smQ6429UsmdO7{J*M?zjM2evBJ?d@7^jm*KYn~<
z0SnP2n~2m7hG^KochWnBvA0sQcyY)a)P&xycG7dY@O-?@kfJamy2t@lYUX&AEZ6C`
zwU3_QsW2n_PY6Lz_dM<kG(&jzOsDYUF?wF0#M3LEgz$2B{iWS+Ou^0aRjIK1AKfp#
zVf5`wAvDUkv8`7#MSKKFw_?)*J$Yxy^2!S#w0FE88%{P^oxAFnEEy(*hG*`NU#+u$
zv^=kD#TY#WnZhA^S@7o-#a(bo2x7E>H2Dx?c<f;-<qTv);1=(l)ewf)q65?4e>AKd
z3Or}v&4Gs{Y|jp43q$fq#?G;D8t$BvU{N*Wg48X&>+wP&Ske|soZ+HD{_1JZJ&Po8
zSw%faxFLc=HJYiM*+z(O4$3a6;6_s8=eDv<qL4Y4_Eguz2<CT0ey#K1MQ-U289A~T
z0xIGxuXPy0M3||xgO?v3*`F4fC&aLK^X8|AV+^4;GP6*(PXM|#uIB<q#6hFvSFq9y
zA*f2Zx?&*++oey#$Cf3aQ&n~Q@t6TFTnlWkq>vGQ_{#vBwiN0G3tXow43JNrP5s6r
zgr>PCF}x?G(ZTLVvX3yp;)eiMK&ihSgaoTFh9YA=Ikd~b+wT^;^)>?xFY6f2u!-Pa
zxg+<w9dhszNo}~SXMkp#@%ObtqVN$Pt57;g!EW`yp=l`tXjeVFl};6d;0J$6$|iY8
z7ymwEPd31t@%0`%cZ(xcRCniAT?IS|HoNaDVgRAkLF=3}3CL+&lr5D~gqw)6zLSap
zVs`NAG5RDCDS3D1oq!S&28&Eq><qw|$=h9NDUA{K=VARk$_VRhDL)--fX*LzwW`H3
z2<Wm>zr(A7wH10??;jaJ<)TufzPucaE>+Aq38+G|^p@{WPDAt$-7aT1Q}CyXf7wq^
z4e}``p58ia2;KV*8JDEx5nmL=JH(@oD;qEQzx-hc<MeAa&xYl}{m$~U$g(<Wax|w?
zj~U_UlEt0uN(Fpp`Nxsft%1bA_Pve*G{l_TMd)5s#P$lM(W`efvAx5qD7=;ig9qK~
z*xi(1C0a94;I4%jfzS+_cw;P(9>r}@RK}c@!XRx}3tqbyLH01g@tWk6{sCn)ZGN##
zY|_SJ$c_9$J5zi$iEgmZR>63)K$~E+HZ+`{ME;?fp(1Rn!W%nP@PA(`RkeB!i{><0
zsyP;q_ZR;6O%>a|5vGY7wDCzlsrrtV1tO1UdyMZ=gRQy!<(^h8II2B$2vW7gHZj^$
zD?$y2h|_gaYFgOFcU5#u(h7cB(+)0N>Nq#ypz_^P6GG)1h{Mcu<XUkrr%_kmYwq`q
zqKpRg_PrPNZlUAOp$L+iu{zw|jtb~Es=;V^I-z$x5H2&B%ps)?1roQold~#1-VAoh
zqyysV{M?$IYVe7BRJ8rYs{hR;cU89owd(_4UJO^m)pJtmd}JjA7sUNwkgRb_N?1r>
zK^46F?2WVbDL`+tGNVMz8jkXvg;9G{vBs%Mr1mZa-FkNqRnV+aW_)Lp=S>y3>v!IN
zBrb~-ElgfAw8rD3pZF@<l@T}j{$|C3Byu-zQ9G_^jh#;Vw4nthEc11kkwnFDjQ_Dn
z2b(o!2fD0-1(jf4Th~~ATm=8|6}Lxr0LnHk$2w#c;dtMcn@vOr&FwmYIyV8zF6N~@
zY6|#}F3haNDu~d7YlqAH0KV-fS|{}6@tGp1c=r?^*m!0v%2j}Kr@0HH=@gXY(Mzl&
zxG}}OPbTms9kKV)_O=$u!aQYD(SJN71P9A#>{OvcrmWSnqgxto)$4Spr8#k$N@4N5
zXa(Ql>ZtuxDHwdoG%>ru4o%+~x7c5nc>7`@JS#&2rgjRA<tc0kx|iJHvB45^lBcG+
zDB|eZF{OCBj}?FCOeZbwSb+7yTH;}yD9#(M^JPBIib<y)C3zkTM8_X{$8kXfj{^H1
z9yrE|L)w9v9RcRxXi}`u@)d?OQSWjolNBERBT`(=W@xX;%;E7B!h5l}5VvJkgwN#v
zQnWCG{JQ(02C-!HlG`<!udpFZv2K6jEmP2vKRo?aEr_$jYkG~G*wN?fFP9){3g^Ar
z8CxX<LE2+b{MnELVlQTx-Q!K*`1wh$_ay=JeNRZ_wBUr`m%M*kOeP2>2fK^P2;gVM
z&qs=0T<|w&YS9cgh69V%fwGJIsAGb%Q!xp|7Ke+G^EB`WXQrF;@IyrT)&7t*+$a!N
zPug;ZhK0kd-+sQ}Lxw47R6Cvri?3FgUUAUCxKsW6PX-_Q$9ZQmmH2Q)DdrT<H6x6D
zO31G%<O9o=A7_2L_z|L=mf)&lgtWUye)G5Up)7je#I_CrsD2*U^8KYDPQ|2Lt)cNl
zi+ZH0yG0Oi%dGF&Wr)|!?H@T_^26o*ilkv58CpU18;h3=aPaTH)IuWxNGpyO*)j=(
zT4^F2f71Xb3Hv=6c>)+$+I&=8PXt`#zK8uT22dMa=x~)2giLWr9V1v2?abN@Dm(^w
z)ik{KSA`%ho>-D~{3wP;vPr2;Z}h=({JwtpPBL29F1>zcC4oDSMmmlq>q9i!EWuhx
z2xSvy&ll<>!I@ohv}BJyY{H$+UFZ`+xvrh%2Ty4{r8i9(8tJ2**W-6iy)f>Nc;0`y
z`tMwsxM|--^|7sSbgY9Rf{IC+%*3D^PUrL5Ca~&*&+Y@;g%6^*w9N4<e~^OhW^sci
zi+W(1D7NmL6oYtm%$o24d2A&gv{_)*htAIC!oOM)@NJ;-Z5va-nf{Nqiz50U^|GtH
zI4y~~<d!5}RwdA7ll)Ja>VrAd$E&+n3PH#Al#0nI<5h6a-pV8TxRu%P^@+O-w1r21
z+FPq&OEPyS??Zj;Oq?h-8kWUp2TFOPk18(c{?M-CH2@dk_}t5ug3Ui~ZxBsX!{aqt
z&lkfD@ZW8*os?CMoN*KgdsV6qQs|V(=M@7yP1SGRH!qL>0%?hPwHnwynd!uqVTi5K
z8p)1b3OI08``^{KnyB*DX3RMnK`(_ComQg=`|PHW=g+jTCG_U+G%^hd{Tmd|-%>)n
zQC@UXqBbhjuX$6(X-EpV#L^n4402O`8_7fmO@0}3ynV*#J9*5v!&3#DN3~1@AL&4m
zqh#~+fC(ICs2PEJs<_BtJN{`w2QGVJeS>CAq4RB>pV7D~p4X)KIk4;E2PgHGyofoD
zzPsEXouP)MZ=Y2<-|67Xf%jeoGz$=ua=)uJ)zSEN?DN0|9r(viS-st1iR{SN!g0Ck
z=#{t>X&s}D%Hpln?EzNM4d^-1JE4wi0XEX5C$*3(?dbm{gpM`)oC@OQG@u?vmY7u4
z#HYa90>_PjH)<0CDk>V-z3+!&$7(%&!{H14c>wj2>y98c4RqzIOT8Xag{k;<>HG!Y
z^+*@9?=y8gi)*!(<yS$=Rlbc6*IHxL;M}NzgF5!_*UvgaQ9?`Cw9}suYusbGnP~Yy
z4Prr(k(V?SU=}=~I+13Lv15ea!YW_1ZAq0c%_xX6@n}^kw1&@(Pl+|EtK7+dtzA(m
z4OL!;4aM2k$Zt5dJI-7My0H|OR3iyIFlTZVkF`eBsV%;_7Ro49*<u$wD}o!BhAyAl
zXN`A)2R(zSO0W}bwrgGWGNpFkhfA8)AZOf+bCp(vnBCQdr>6w)gIr=fGzyfa7}BiS
z6|iMHSDE-}9@uZ$W#oMeF!E^4dOSu!h@iet^J6Z=B-qNH*ag%pKU3bxki&SjO2OT9
zcI?gFZqUXBL`XH+P2Q71aXIf=AqiG6rEffI>`Mptboh}wl~Uj*OP^C!Wri!a>MYZ9
zE4<EiOR4ITz@tqUf)@Q&=&HU>|B3Th;nT>-nEfg*j#Mv%ulOv{e@GuVEw#rIk`$#z
z&uCFZM+ryK)E4Oue3H-X?^-}OktJ>emk4BKs$8P3F3?TJL`xG{EigZ(EfjrM2(1ma
zefyFY=nf7Op&7f(aeH~DZsHUfr%$ytn6fU?qrT0N#vhu&XMj-T@)pFI=i&L$y^HjN
zUF`FNWHZbYr4Kug3Se36N^H6KGQH_eRKm+3Q`lY`s7PGhtI^sz>8x2R^mL!7{G1LG
z#9IW&4!+@qQGc}ClY2~HG2hKyY-<Ah{%c#OQ+Z(Hr{k4(j~U@xw|I`-H^z~dmRtKW
zxM5co`grCo3)JkJtIsPNBlix6Uf1U}2zul9Xk>{MDNR<{VOcZ;j2gIESggS*!JCfZ
z>)G*sQg*aUjD`~>o|FsCB*b;6*m;+5!1Z_XKy})xPp0|%MWvIV<5LmDq{M}Ddf9s{
zq>WJGaAw3LewFuq_Y(~tlki2biPN{p5G67B6-)&roR*t-?C!}8%0s#92Mi36G56Q!
zOdknHJd(m`8oa1=`_;0$-T-$Wo_u=KVGWM2>CgGb&yPwOtD%U!2FUypZCCYm4Ms*!
zn6_LLKw6GUB+H^ccsGh|*cs0aGt*c$xm-aE4Qg!E&DF=<x@?Q>`+2aDpMMLro{S>r
z_$w~!_3`?<kw?c~UOY5CW)sOQ4B4+QdYfnT@NHW4m}}H3AB)DmCu|czw!R~uOt~KV
zELe3y8u>B)$fmgUnJ7x^+idS0(!+^Y!{7OG1;ENIR{qUg9IaojyD01FVfj!@o$g^l
z&@%Gf7r#oNa6VLAV}%O#mIKA+o5|Q{XyY4}w3>IAgS*dvr6Nyw*Gi|I5G0No8hCiD
z=7UcO?NU#vFfsnxT<a{1@`TO?e<wL;k`Gyq7E)2LLoGGyln5?1eeazvr=YSWkx43t
zij+M4w``AAdE^y*Z)cr6TE-UN46fb}h{)R-K@vy8w_R)lKNZkA_wM2SXH>LJ%D-_t
zDS@6avxJA@N@x?z+_BO_#iQSCWu>cr`M}LJ$k|01v&Mz)2PO27*^xY}n=Xw)sh-3e
znJSpLsXmx?Ko3PGw|F!*%cA2(*?||U`;D_OpRjGvL-wh(q+2``giCBOdS{}JYOVnf
zG3euM=rv-?A_a}*=VkxJYQS!!p*HQ4KI$*ir3?Pbqd?2@4*k6*)=RwJ&9|ESwoNzx
z_h?E1y?a!z#IR|De%1KR-nE7>bZXQPno-0K`Y<U(Ne5=9&8xmC86h&7J-m3;hx<Hh
zda4z5vEhbKvxqzmb-P;3i6v!l-BLJUH>->LGX0*#G-LdeY#U;kQ$aGDYud{VRP4P{
zA4u{tK}3z+aMWr)kwp*Jo(rcUIra4uuL4tC`JC7IwO$Pwhuh<B$5JtxVfP_w%nXem
znPb;pQb%Fd;UzmiDh_|%p4G9|0_ktAam|=$U_v&f@g{`|yO-)J6={}u8nG#IYqbU}
zkIMN(yXs<z<M>oSpB3!MYimsuG!a;L&1^+f2RmE@tuFEc49lBxM_n~hM|NRtIIo5B
zoe@GlS->T4pU@wBG;uY4P3TgY267r4s_G=HQN-D%H*25??_VL;cW0|1(fI5QrzmS2
z=X2(`(XN3LEjhv)yj5VKpq*Oq#Tu_XuYZbi(m?;6_}*e+B^cfLbI_N^2Di>nv)5;;
zBQ%-*Eu4_Y&~2*7Q7s!t=>685W2hn7H_m*=ge>S+RQ6srw81~wjrU&Es3L@&`9^=5
zBz9d*35Zj%!H9}J`{5E5oc`BP<CrLljqTERp0nBDO6ECXB0?Eo*keZ@bdw?RE?R#2
z(<;CIY;icbRtY;xC*2}V`C%?t8=!r~8vbX<$5~kvA$lN+RsJ#wVQt#g8|+rO8K=PE
z%8*A@s$Ps=4I4spHdb>^057uRpWQo4fz$ZcfO8E@(B8h&|7|Mpd{25B|8-dm<<2$|
z@(c8TmqRM^O;&S|pf?YjwKOz~M6_OuPt&J(=sDr{=pc=q9Q?CJ5_^;<)O9yb(yt%V
zH~BScg*SzHua>99Ag60-b6jPNo+ooOB~Q}|zYa=o<m3{CZJ^w_&xyb2<18Z!@`o((
zYHZ|eIb9f<6erigbHns~5sL?6%PgQ6I#QFBLq_H7R(AE;A^IcslRb%3=HQYJCYLG+
zqV~*lFMiQsy0^OQ!3s-rOx%iGP%Gd^x&?{PZv6=TrhQn5RiYVo-QzD)v*Sggm*!}w
z?r*vlnQ5zgw<$WGma?eoawBfTaoeB8f9Q;(>M~-+rcfD;cZuFjg8B}*Fqg)0`sg*k
zgU3@$Fc8<qweJllEUrAdcOht!p1iSdx5r;&@a=h5Q-7QT=S>z`e%k(}HwTG0wzwH%
ze%yH5m#yp&ciz6K!g!iK|K6jTQA<OUIMuQC02@+PoLto%X6Z>(i&y;mG}v#=+Rs<Q
z3i0!|!kk0q=|sOjo)jA4_mqD|pcE@k`27*NTfIn6Fv;e)BV~lAhHELTPgvllQE9NO
zwn9H->~*m})e!1}+>e#QSRhzvedA&)6C~`_{P&0&;$D4AK&B@PUMjF$bJJv5%{Tg^
z5*Y^2mgsiA5WoVt!V`A)uCU_CCH`nR1p{PE(jpIJv0x$6XugDp9j^Im&SB;H_?zb}
z$^VN5mKjVp9^`O<ae8{tg02q*s%H8VH&zsgoc$H*$c3bJ+h)!->w*3J<KU5>tk|e}
zfoGJw2Aumfy?p~#Ir6C_EABcQsP7s&X$#y4%Q>(|mRAqb9|B8Wd9q`J@!P9UIQTFU
zf4a8q9u>_eGC7o;II!$u+H_W00F!Fh>f7C@7(2M>+sVD0sB`c*JK`vaedRab9_OM$
zto(ON^Cd2vW>U*eyiA5r@+BSCFkO7#FOitD%GrC5Z)W?C31PiyK*ijc4q{eZHU+zL
z<HBG7$5lTO$X^)v-5#g|{i6#)#tS^~U;FVonOO`w?oON?;?O~$M4s+!Eg!PfEfc4n
zh~vD>neKuTZM;uClCtD30I#836XnaR+z>12s`t>wdi@#EFRL6pQU2uZkpyW7#p>SP
zrKycF*P=(yu9Km*&D!4Sjx3}apSL{Z(MCefj-<b>LYTWRuX*wm1=NsGQVgdyEN3gs
zo*0TCC#&U^f4MwN;_sxi$ZEsr`*S||GEs<g9PvIjqkvHA-yw+|+BnfP?5u1fjuUM*
zR#V%QaBX~VmU4wQo`+C|g8oY2h7DK93x+acJ=RZZ8S23CQ$oo8Iw{O>#@RKPtD@UE
zGv`Ua4w87vYM)ieV0gBL5U5jw0&7%Re4Q>rWY^s)dM*dWd&A3K+cjV?w~53!Ld6HB
z6X$5-6g+RuDpLNb3G*(W*ju7{@T`(1Zt^MM`=}6;Qm{6@d~4sK)UAik1sO>>V?}7S
z-CPs+PY2VqLbr+6`Y?P~)zs;ugo^S++|{9C{m#f^lokU_#Fo?6Whmp=vYa-(iHhP4
z%r+lbjga`CSaMsV3e?ZaS4Hg91Ib+N{6}XRUS28Ym!DI`zYVF~T!bFXTp~>N))=Gk
zJIDHZadnt|n3g}hq6fKcxg4JzO(F1tu6;{M18o7?&c*!tV1F%|bz;yAij=lFArVa!
z(-+m-M)WYAIC3>8(E?Ud?xhNSn(%kOwZ1=54{EnXov8X&XzdS@m5I^9gNK(r)c#W8
z?KpHa>m3~-ABUQl|7yYS<1+_l1uBNNNcghf1P+AfhjVLb<7a#Ndk&fo7=I^n6P>M5
zF%%l9tEP=Vii7#@R(;^Mk<I4LA!~%}{@!<PPz%2e-b}5bsH2oLoqlD%4I<wCJbUz@
z7V-}64^_5PfxfeNU*j_yT-K<(QdhR>6Gi+ld0Z7?D6=EqYsv<sXEsF<RT?0<Rgdx?
zrGPWGDfm10S}Z8hiv9A`anov(%qx2-OwI*IuH#sX#*&1v5_dIZmFBIt6%a+e=<i)0
z25ewV=msdS`oqY^!M2rctNy97Wae9LgFUuuHU6Db#&+>VEo+-K*vdX4<L+&PIftXc
zzm^s8yYN9+3L7ir>&O`c+&1u#PfXT2rGN~xn<sVJ=IE*JWxO-R)~h}l95nQof~i;!
zT4mWPU+&6^vCyq?wOu~mYg!g#2d3O5y}Rkr-ouH5O~A3j2gzM>((w5E>}zf0GrI5e
zF_%9cz+g$TPt_3#T;$xUQ2nxjk$oobdwK8bT>h&o*gqhOp~d%gcR1S_uElDn-m%g_
z*G-l-zbFh*Ir*5w-8~GcPaiGE)va)#+A&3XFB#*p^C7H<`WafBAI_V*SmNZF+1C;K
z1(32J7~d29gJIR`DdQY#fnO);Xfdk1m}(0&9uND$I4F}7bN;0{9OU!+#s^98VJ*1V
zd##`GKA!UJ$GjOhj@F-3UE)B4+4Pn6HGK>{ndN8hR%Xa~d5PJ0l_R}<=jFn=dl(1A
z6Dwa_Foo%<H<HB?EUURkv)SO(H%7PG=2P##n&4#4!eW&$6AC)2{D%X-GKRGt7;e@y
z!T$gN0RR6Cmv=bTe-y{f?7jEp+Vfs}e~*idBq`dY5Tf}rTOx$AGD4Cfq@*O<_ftqH
zGLx0;y(ufd{y)!i&htLcdB0yrcTE0;Q`R=-KAe29S-TDY@r|zN?;Rbu@z$*IZtMnT
zA%VJ<Y8&v!ec$A=Mzo<Lu%TmTavckl-r4TasKAeZq+Z$Ds}1f$H0%z~RxwZus>t?B
z#3!!|YxNdtK^EuKxt@2+n9cXAhd7j8V+)mi)T|;}ARK0{lgzt>nO%Opa&7tpb~)#T
zn0vG)(Ac~^+4<iBHbtJn=)W~%2Hm@vA9gh$QtONMuF)LE9O_;07PVvHWV?VZe+{5K
z;5?k+KZ8{qUU>28&UdWD!14FWiaOk0sE}3WpT-JW6UH(O`mvGX7?+r<>Tq=8{nu=c
zDQw1avy#Do2xFEb#22lTq3(Xo`*SBIG5k046_$=+Eb@79KIH}(_UT%DkzJm^oNkOS
z?$a5=T<_Tps4|e@NLsvO>(>eFQ9<lbTK)vK=ftSFOCkvZZBJePZ)yUwiIjRMMw-T6
z$|W>6NRxp0KD0*PWD*NKsnTQ7Hj8Z(<QrsPQiHd(w_45HC$S&qC3^i27O>$B1>cbj
zRZ#F0P0vl6!p<>P7X@HTSiWf*qh^~5c>j8@W1l*Wl|&V!?tEFsBro1*31(ISS6!!V
zmX;aJz2#T&dB0UGB<rtexs@_(5Z#2`_2#g(%Y`BH*g7_vc>i!)j1nj^r@kxcpT|s9
zwv~UY{J|=!Ne^m&D8i*tu`-5Ji&&=5RNP+kO-#MhGBHk35&YufE2O-ZuvgcA?E4e7
zjol5?se{`J@bmAz@vAAz*w&wp<QTeLY?Zh#er!M<jt#7a6DL-%-NTt)yM0uUxfVg6
z4)XBco0L{{Vhz*d%Xa+fKm(UDu9QaR%RvWDuq6Fi$5JmjRCuh=f<no()Rdqc+@)u=
z>BawGxVe0%R~bFLICkwOO{^@;nx*N4zu&}`6DDby@)_XXAzK+uR#|AV>h<y++Qxo%
za1EnICg@F-e7hDW1AnjD#<@{;vC*W~YZoP0!QDx5wqHyJ7<-prHZM{^U;wAQ!)tah
z_lzibRxAx4yS(D3U1%Vwz#=^w=LAdD%Rf~QNkcf3#`UV-v_SV}RNvW}8(!4NjwbIA
z;jE$P>#`Dh819u$JG#XK-o7<Q$?u4uJixn>mB|2JT<!iHU3@T<#+LmkfCw^$2i3#N
znIN&@P`=fG0L)gV9{g%UgloYc;wu?gp=?iYDTPlMN=2$pi)j$yeT?JAj~I4XeZ!V*
za9b1@s-*6mQYAuP0j2YMJ|}!D*>t=kEdgoXGK5JJBE$)_N2I85LksK8UIuDO$X1e!
zD!ELA=S4B!6}os}yx`Rlp%^Kc4Jb>#^pOa*t<h;aPx+wX;Tn&ezBEv$+Vw{2NyAmH
zFmxnU0Fnm66V&KsfmZ4^yTyPs<W$FYsa6Pqt$%r-?z|jS`x!Mhy_12is;be=J))2&
zSUR%4tN_B6itHSp|Lx`N+c^JVamYQ~a@L(g8BX5H+S@E44=FSa6r~3Qn0D{HWM`xb
z2j7`d8P+R+=_|R%m$oDUwc59i>XD$?-=zb6P=bdA^p58KM7V5xv**YmGHlS0-<yi7
z!r<I>Vg;=X47Ubki=9=6wQif=s+UP{sg+^G?~yFrN*FIZ?W_S02lY!*nbcvDHtW(&
z19^CNn?uLVP!q(DOqSFB(13Gm=iRA(D1f-ZF}3blO?duvCicL97SQ&Eu<t#u1n09N
zDm>3<!N6e2(N<1f$eU=xn#PsEa))F!8>0mtF)z%LJ@r9hRq=DQu_}byOk@|iX#s<m
zw4THdLm&{9P>!n_oVwm+XE~q=6&#5&!8RB)SQb~N$dKT(k8t_kB@GaN^!IK-H$X>|
zhDX5_5@dF7)V_PB4w;oAr|~5d`26aW$-aMnV_2g6qjiS_<!9-Gif1U$9^`*<E}R4}
zPy0#Vl~9F(g|>j>6{f&0zk^6t|8(>#-G~`ffcd$w>xUi9K<cibn_QV1D3Vq<?t96=
z4Z<(IUzKL?fGXtomoQa`5-|UxuugzY*I)tSj2Y-(apzg3SAj^yPkw_=LU4`w$adp|
z8SE8xuF~GC1V<7(+*SR#K+5W1uxXhYteE^%n{ZG7d&BtQu68=e=Fbhyb2S6Mq?zQe
zW^xdmSAF)p^%8d8Bb5F5nkm?j7C*5|$pB$O<YI2tXZ#kOdwIfDQxNx>6+5ye1uQ{N
z{wqmY!G*W${F=uoaM8x#yL~?atYeQgvszN2d&?=BC+#VqDpuG(@JI~qxCLb1(WFNK
zEFH6x)h5u^x7eKjMhFBWuetDiWkj#UKbh7knE)<JH%y@Bhbb4U1C{$(P|pUl1>rHk
zj=r#VMm#t4-Sn3nm}f;r>}}_)_yLaK+d0p^utOEG+?Hj84Hf&RMt)GhfN9IguxXbO
zcsl!T2|BW)p4d7z2~A_TxWq?CUqK5e8eI#vyxEakzO94HJ|m#v(eu4Dvx9j_m(^<T
zWk-};o~~aP41wcJy_1{c8kY3(Kyk<>8*1gWO>WLG00}FN$Fb%!*uf*3Dk&LkXtnb4
zJN@taFz;9jJ}bSLKJP}*sxce#Wp0bN6V``Id!JB@>7Qa@j|GaJOtT_Ro9$1SyB>I~
zN&A`q?7&lN>J{4ZSrN6`@BQ`_x^QepBKOqb2%aYScKSvrD{@hMF)+iY3p9;|o8j%V
z_|xt{j-S_AQS@BeRAhh-P&1FQdj>4y5$=?&u2fc}lfi!A<1cM6+{iN@P+7-gto^Q<
z4X~n~ods8ugW6zbec*g?>IQD$NufJz#fFB+@?#C3v|!3FJ+Px`8*jbwZszq*HYE0n
zb3>k@1s|kqwP;&+ag{?ovBg>JsAehjfn}{Gl+zrRyLOBkb!3sT*f<X4p>#o2*jf{o
zTN`7^A83$8&fKxLj+|(<rF1p3TLY}RdW6`d>CnZkgL@0NInfi}qGQt@8W5xHaEBv;
z9^F9<-+L>#5dFZWupqStuy4Qj8JgdN=4PTYC*rx$cqe<FW2QPhHDIOuaArgkk9Yf%
zLwL|P#p0=9Q*~HR54GSNWI{3HleyLRdC{$a<g?5RWRSf0(dUd03zF0;YBPDqhdA}x
z@|Cm5kYbt_b&ZP+P1F}2;`_~yT)&GDtB;dG^Rv(E{;%xlF+o#M?T8?{RpriZE=q<g
zoC9Ku_MGS%OZeyDE+KSesHw(noCLXQ3)!b^xsc)S6qTtfB1m#(X0x}P1bJDeR5i!B
z(KpZFBq@>@;u|$}y^%r!!rw8;kU$=!vD29Hl1&0_#8=js1(V?8+dw|5m%NDfw1!Df
z7y%WIzaFykB>@Z9uln;Vd??<Lwr?R(5^<h)``h48g44@>b6@NP&|>GqoSb4Qq@VNO
zlxQRgrWU2YEY%639gFO}!oP^fWOA;m;ROkhQ@)9loiMT$GZvo_kwL$0ORU`nNx+))
zW<z^L1eH$`Qh3hDq9+ym1M+3auo$NjDE~?fB{>%@HW$gEcYB{D9S$J_hwhqy^$iKM
zrTKvR9GwDcKEFSc_>bR&Y1VT877>t;<ERVys3HpMusBf>q7Elp-YB@elte;16Uh$G
zmC#)kX4h~94e(hUZW4Pfg?_ocP-~h{M#oePQqpEL;Pg!=pMm#8q&rwFY{#pLIv=ld
zg*Ix!IKOdOIg&<>Mv4h{rPR=e*-KPBwOVi}I!RHYQ3mChu9EoZNJueefm7|fHgI(=
z@3u6{qB7h2m8z#msPIP=q|)kw-r)kK$yzzoat99~q>#{cci|6pW_mD_=zV9WKprLU
z&F=jAl7xExMEO-D=>u<ot(oyn1r#2vG0>e#Le${qBCu!x`VkCjuQV0WLC@zY%qK|5
zOy3|v#l{F4?ehjb8x@hFS!ihffEwaz{=R6FWemAN{ps{NN~rPU!w|IsRg`H^vZFbU
z!J*zJw!r`;q?}rLyq2hfCcGD7JMIEJcrf(rzi1_N*sNJ(z)lHiDwXPovzdT+qfJzq
zw-VBizG3hSQ$Tx;Ms?o1VFG0uJ^^~7N=R;Lwa0{74s9+}v8Z&Lz_8e72E%kk<YvG>
zZ<Q;Ju5LH=e&VA*|8xlX<*Wj-@=c$qG?PL;-C>5~1{83qi?&$cRY0yQ5IfZ^fe7@D
zD%w^Q;Ct?%oh~GgNa2TaLL5cV4HLuuqZkD)eUp?B{nsyOcwCcRN&wyH&0~8-pa93}
zyEglF8MNjT_Uwrb4>H*A_m+9l1eE&sn`kFWqoChSpNHx=P&&&4uizpRXsT6}4&F~h
z8&lkd8SPByf!m!VAvY6X`g%;pi%trqTJp$=*V3UI?++!s;WUArr=wywYY0gCw#2?8
zF;qxFi>jfk1b~!$=D%es2{dT`DywJTCcayll~Upez-8Yk9{flY#nhHR?weo59o)v-
z45l&Y%8L~E;2?}@tn1Y8^)KT0FDn>sN@Gw<_!MqP7DVzh-PEjIGkDr@ImRE(#&G4M
zrWcDkKN<@kaGe>Pz+bB<2?sthf+6yENrvOR$U-^k=aI-U-1L}WIc>ioFpVbbZRK;L
z)=xH_Dlwz@l!5gFQwc+mzpppcEy;y=LJ0lguSf9<t_}Q^?go%lEle)G&4J<<soye{
zjp184MCa1C`tTx+0b*I$P`+WUa81wzu9_^K=uE2*{TkN6>jTVanlP6U*FJ^2M$)XH
zqk1rvH5*S}V??#1%h|bEvv{ZxW#Ri<UFa;(%`)E4fW*5m#6JDDfHS=#Oeb^cf|Q+~
zB=s;on(gXZntHy3FYG*_n)y!$A_7FqU0>57EqU05@D<$FK=&-(uMHY0M|=a`&?423
z*)N1c*6^wG?Wwz#+K|9$;1W7YgCvibNU%QqjSIvi(xsMbL09pY1Rir5bjF8+R;ytH
z=lx#Tb4^tXNNA*h@f$VLFS^l8!?}%%RlI3T&(#EuS(W0n5Nb5KxOr#i>R<d>$D`0i
zX-!z=sbX_FPK{FByNX+asE}ETDW~6a4M-ETH8*#lM%Ouq)Oo*9qpiap1}e%LU`Yv3
z&bmyEX5~uHHmlJhMxHWS(f8_b;PROsi9%}hb6@hjaULB~ehfrgvwwUC>ED`|XwdUp
z$>X~^dr)3sacNgK8BS){A-X#>sE~CI|M`mnJxaOB^~Hw_ZlNr{!bNFOo9XlJnLH-6
zBdl0t&-Bj^(}T^OI%rXx-8!vT91D7rb^1zTJ_&-MQh4fLzoTabD!S6ykWv+is=<~7
zw)#%v9U1gUbd!pApoIf@voFmaT~>p8?@yNV7w<tX-4khr{9GvP-tiJedo_rATW`EP
z#eh!uq-GVK;zr~p_p178Rrpe7e`D5^300hVeK)j*2c6-bT;SGL1*7dOj;|k?(O!33
zOIrgzB(gjHR<23~VuliKKlETlvq!!j*X-s;cKCRx%|R8Y`f$u6N{1a8KgG2i;sudt
z)WUJP-^xG}Hr2gHh!cGeSRb#vAdF5A>b>NBtqiwV=hTm>a3LZ6s^)!{MA3ni{;~Vl
zlmYkpsml2;2b-KVRdQ3r(Uh&0c&C#x2)11)33<YUIG-<(8Lkr0$H>y4+!M<1YU`cc
zE;S$WywpS^QYeYqo4Qk!e3fC}y=xb%Zt<f}n`$;pJ5tD_6`PnXREE05sO3+>g6KCk
zu5RNjjcT}aVuo2&AX+fw(PW1Z64n6i(heCEZXn*`^*{yO7Oi!o3q+8<il?acQ91O(
z?#oHcLKS919WN$ki6J_#`O%#zdGz16?-5QaY9Pv0#AHw+fqschyWPK|h(-)QWncOC
zCj`D4sr6bWAciL+b%s*P=#3~3|M_+jq*FdzZ{wFjfhLXIIh88NQiJ)zXeJpvv=}%)
zn-h^2_s(Rrg&OLR&wqf&s>3%!cH^7ZrBS@D$%x0loVumqE28#H0|GlmE>lWn5FKrx
zErpJZsv>4g&h=`7G4aG(pCwt;WPYcEJD!ZrCcJkv*VKkyF+r0PGV&-k?&n>>Z89SL
zC3>&F(gEG$dv9O1Q9zIHiH!spsUuEJHqU&D9{5kU?V30%qW1NtMs54mQBZP7%*h#j
zc#y-QUhklUEbp$Ln2=RRI)<zzJ&z4R|AO&uv79p6tCg|lSw}{k3hst82aSQk6SBGe
zMHxBzUz^R9CZpH?CA&`j#^BKv?cV*yD#(=2TvFVMgc=N%*=jxj;BTB1vwc<2&AoP6
zem<(mTyUYU?Wzf!x|lcIaX|$!iQf7aGNXj}f-0YQvQpr<;ohA^ITiHz@{OPXDFs9u
z&B?MIP67Az=)mYKWt97;h@h=3ix>;z^PUV*AbXhpZ1JEH%H&h_5R)dN&chduQUpzb
zx!%L7c2p5rKcgQgktQIPtxWk;RZ~zwIir6n6wu#?8%c`M!U#zzOfJZnLJQ#*=ZvR3
z`g0)vRiOqSTKq8opqAPcW>mKn7dK@Q@Wo0!aN<N|;dXL%pC}N=MSK(CFN3}<vF6F^
zF(PA|xpU$H6bO1D=g~b$M4tkayM`yJ5RGpk)l(4)I3%-986S~Cw@(ddK*AbsaY(Rf
z@tp}sISr)<HxZC`nW52;+yp+s)BZfk;-5ZN^tRHm;wU-Nb0JsdD=u*==-l;x|EW=^
zNvl-82%;gxRZKpr#SRF@A6PmIFzd|F^<+vAWeW;Tst@#Gk&kPBoEX7i%bJ1s-GLub
z?)%e6T8?7=_cXhDsWCvd?fy(lJm^mhbsx3&BsRlW8OR`G3=vRuyRC`~DcSh69j%|n
z>hHhmoZN2&0po#}yRUE{qEBL>?YkN5_3Beb_8W%4_v6FCt!5U~+AyZ(A3cLvnLPPW
z^wt29Gcc2i+l+`Im!NPrZW<f&zFz%pULRamcAcVP>CsKI;g7mIlUR&EVV5OYA7(Mp
zA)ZAV)UM}x|02}{cIL;B=U|{7kiytgZ)Z>;1CNW3;_*@JddNi$o6ovHm1KG$jJShO
z4VfP9JTi<$?(+?^64iw<LCJU5?{DC)v{z;R*8IdCy2T8|`0BvHZmS<_-s`ybg=_)o
zmR@Xtf~WO#Xam!K&bof@SMVQ&0yooEyD)*vRGO38+8{10?jh~Gguflj;Z~-!VLo=p
zn(sW;0-7uTjntRV<B|RiCl-SnF=GY~rfbYvP(v3`f!oaB`=n<jZcQRA_k&*5qaaPl
ze1x;>xKHAE-xJI6z&98(FZX^luK`BU<}cdT$MCyle-5nezlFU$cR>-kYXEDaCQaMo
z2!00hzsr)5k6+N(ryVq`4it-^pVXGac=+F_45^6<{5AUnlU5gX_(?PBn!7ZFtFpQZ
z=<3$tm9C=?pN^8Dia9mu)90V~gAi$s#JVQD_g??AA6{fw`0N^{M;gS3&vog?C4R&G
zZXHTKu}Xrv^gOJEWdQfMdE(st$`0J#Z;v|HZ4$7<xOV%2eq7w*<dW1-H-2HLHF=bi
z1VVGA&!U$5@G=8dxw9<2xa~d$EW|<$q>2x=FwXYj{D%I&BliyA@_gqW$X->2OIOSd
zX|((C9Hx2RTl<IbJoC2w@!2ZyJLH4-tLA>ZufX!7GSe`=q3iWBvridL#^tDI<qzP}
z9v=1veIt0jYB@7mP#GQ)4oFvj9mGHEN`L<Fc?@5xI=U=-TnUaddFkC18Nz+SJc+E|
zCveWDIX$;5MaW<5`#HKiglkxPoXcaG#$z`As<+Q6K<0dTY2w^3T%_w9+1Gm(=PTKs
zaKsd#wm#aZigg6nmyN1_vpbJ}qmK0cnIsRRKF9K@?MLy8qRk%}#uxG92L>o7mgGS5
zn82}n_!xfhX|l%|?`2##gQvIppd1{3IwQO1=mZ|`c&FeS|0*scB&oRjUKUuy$WI=N
zPvJCc6HD<^Yk0d=*i}(USy&wN<K+~X!H-&FgO*djaoIL8MWHwu(9Qhf``mmE=bvbA
zU=Z2F?f04RQqjqPp#(d<<?999xg(j%>CQHuo@bpudR-d+yB0HyD=*>02Z<wYO1n6f
zx?=U{CJ|ch8+<p*S;isI?29K0H99hRHB#{=5yG+$+7y|s;tZZo^l5TwQ2p5!xrIGM
z5G2=*jI*!fzOtu|M|jgAW6^@78%a{&0Q+|h8UNr1?|pgXae5Exo*z7=ttbVhI{4}>
ztxa4rTFLEp1S4|)$;O;mF9}tad=0zl+qko_8Z}{p8SP&j3?+F;!bJvIrBst${9AUK
zH%k~BTKb1e&D@gkIK1+MGe0%D^iD0hR)Z5k#KBVgPXxH<@LbvSEe(3ZxYUr}^p88P
z{davjlmKE8>+OdF=uk7?$f2$%9z;&(sMxR}KwrDSPNVl8q~%QV6%OD-M@L!Pw21`x
zU3(~<l*oweUA(7)k_FI0&6sH^BLQCJOzpX_!i>n=0r&W(g^)>|Mh7(&0ltmcub0QN
zp(~s*x@`WUD0f{%m&i(h;|_WZ);gSs@vq;nvnCR#Pb=a~J&6F`*$#hu{>>-sF2s9Q
zRub(#y7k5K3IW=>_P)Oy#)I4*hPg|&NFj%+jJd%s0vwW|GhFrLL+t~Y)#^iOlo)rF
zE!#yB{;dDh6uBmV1Q-QCDnb@@d-g<?h)O|ErrDx>r4ZVfV38k4kw<5JZ8(5~2yM8Y
zQ;4!CD)L|G?D?#Sf{&^Hy-AS<*9O|{kFDZp?NMNH6Q2sIFixm>hGZb1dLlHWoq!yK
zk5qT~tD)VIy7Lbc<-l^#T=am$Ki;aFKI5}YLhtn~gJK#L;CtxfRF`=o8V``LydtNL
zZa7T;vhY#{j~dx3|1=rYY-inu4r-vrR2mxQU^UR+w7K^5upBz~WF)xKO%nw;=iN)W
zO9qnz1vHy{3g}_U_XsZsEp#Hp;PlH_4Oss6V*E^(B1)ysk{;mHMpU-ayM^sqkg<2_
zkY9u{x~zHf)o!>pqDhtXNVV35GjVdqo{FoYrsH;{o6oh;Cr|&og8z8N=gf*iO0*iv
zd~s7%;EXoP-Rk@*_tXfg3w}>BIFk_5eTU+$S6b-a(;yLDWdQ2kUW=`E61u*vX)qbC
zi6UM1#MlR#faTeb9p{9}D80o~{lbzu67KW<zLHOYFP9z{KUVw4XDSySi)@h)v#@im
ze~~FPGN!#$<shR^A$e4num0me{qWRxx6R;`>!{eNG7{1?8plKu<PqK11g3NR=J2`h
z&R1I%63RI6#78Zbh#t*Z6wrE`gZ*g!lb2(vsN{olwBJ54L~N(0)Z8%#k@so&BN8e|
z!d+3lmy;J=$m6VPbvFl>$chpfVI_2<;s9~>KL*tBcfCkk#2lVCjj82~%Oi2|z>AcD
zCA`0MPq@WPGq~jcYV%x*EV7G;_SLuV#TWv&sZL6pK|NPEFTasA5^`#<4+-4FY%OWK
zy6>5SOniT^!nh=wdTkyj!9@>IVtbbF&ryJraz16(Py&(PnBv}aEKq*={(OQB1q9}+
zlCBR5Bif~cpqNt}5b%OA)1=S@PIrnpj#u*|Iqa|LU3D&K7^qSS<TC;7`qj|#5pKk|
zXm!6!jT?Mfu6&&c1$csZe{kfpqbFv?cuYMvyl^p<D_X@MiF$O-hxqS)Bjdifvh#op
znDNan8G}M|qP&+T4f5`fwZ;iNpvTZ4$FXY!4=5)77hZ1QW6$Of?)<CY$-MGjRm2EX
z7i5%%sTT3WOOa(`6Wox{;%F^rZV0l<#q?_y1Ne%9la4|uH~1VsXZq=y0Z^UL5)R79
zzydc7?vI9X1Nji0;%K!#_>0@0xL7lQeLQpNm*5F*sGVROy2`8%nha7!mtAJC8#=nX
ze1_aGkwBD-I;{sIPl&?lb}QI>@gm(WWp1Dx)t5hw>%u^HNtwFaAFR7(`?fiW8>-to
zm+WPA;hSR}tu5^iR;PSbDaw)?$`&nbe<kX`Goi&1-ApP7e#khh;?E6*QJg>Xn03JD
zbNacni8OHK&5N0R)!e`w@|y2#gf@8oDvOHtqyy!nhaHPVc)*K(#%-8c8>m)DV&`S|
z!1?<U%}WV9pvb;5!jYr}Idc+ig6$08LNEC74v`mVBI4bqWVB#WjJ1UODii#H%CC)I
zd0~=SOF6h&6G}eOtXXle0A1ei^8yKca5jgZ=g$dE=uzGJqxzB+cxb)n@k{(r$Q`8}
zL9Geh99+a|TXyKB)$HZ*5`YwiQF^~Z4RHBE7az980Sr=t+ox{|LdEoQp~P7YAWRRd
zob2O-J)V1P=U)lIc|vXLvV;a$+df#}`^W`ajLL<pe}tj#UFy**W9mSc;Mh`B%nkex
zH4Y>?i^AyqcBu9{b=V`vAz$}~2lx~AlzjRn2Fv8>y19GmKy$*#y}Ftg4ye4N-G560
z@NwVJQ<u~s-A+4wpob5hC)AL>rW1gv?33>qXLWc!ydt1QCjf^k@`VTPNP_;0n~sae
z)!~Sicl{#}1Pj-CZlNG4xL0xL1*fYze5Y)2zKRio{{a91|NjhEcR1B=9JRAEviH8O
z>vHY=J+4tkD$y2|sD#pxq!bcKA)}%pBTXwA>3$_?$jT@o8Bu<fWJiAfdY|X>eBSpx
z&-0$oIq%_$dp#9=Tn%}HzQ%pw2A~v-I~4zvMZv@L%DvI*2oIZn7=POUrJvv0UiXp5
z_MsKL;%OS#w{L`D-)(@{4#uVF0R_0;K4Cp_UlX+rkGlyiLrho<>AVb8g8p88o|-x>
zs4?z~-HtIt>VYT&;({{9s0TMZ>!#qcm)GaRGltlB=+3T5Ulr)Nq#0WO(1z5lY|Xex
zBdm%X);MpgiiMv)Hn;qy;vy|E-CxldueB}L%d4n?fBw#Hmq8uaxZiB1w;IEBxFmKx
zyE?@79E@nJra?nEzTxmS6D$)X%=|v9V=Gsn-|SIcjQOjc)eJMm1GzFa$#M;>d)=(A
z$xDaR@c#0>d(Gf=v81yiRukF<DK~2N(!tfRJ|%juIruW)cCU8Ug5}BkJe8N}z^;3<
zO-C%S`DW|=i+{E7^@bte;u$((eQ0tOah5RD`_!PCPJtR-IfGxH4&9AK#T_@SAaBUw
zz>?O6{qLzt-z&NZJlT}9qSzXx;oWQfPiSK-=fR*Ti-xrW-YQcSHc)MlDZTkj8#6X^
z->%y_s9Sr6ZM2ZU!N*yH_q(+rGgSF?>uM@GQ}>r{TD1hr=0H?sn>Kbf?0^5MmVz@D
z!XLW}fD&rZUH&|6cwd<r`6#M|Oo`sz<Qzcp+Y!UPP8&~xt#<6U(?EZ0<LEwfTMR$D
z6l~c^foST6XQ8{*(6li{gMGIxv=7~rbGM`*P~(q!SF{Rx_kPga6JZOr?h9p~BelS0
zTl>;+s}d?c$jh5W*`ni<Ij`9gKU9OX^LyLm@M9-`@U2i=u=*)~^q*_MHOC;lKUNxT
zalY?XZL>wAldJY%y*k2_71!-QErAzIx|NclE%pp}pFQ+k4esm{J5Aq+p+9$ex#d5=
zdK&xN%2e^8O3iV|PXw3AtErD!fP8(IKyHBw?xZ@u<17+H&VOyMFNOh+Bn#PvZYX0$
zRO$Uj3qAx5$P3@l1&&w>-gh@v!u-SiTT*uLz|fZ4fU}A~@=j(aH=%$VH-qC2$Z<h^
zQ@)y^1OXpWvnV+qIUH7$EpFPv0UPDIO4<E3IQt>ddV8h}61vVvREx6X+%j9K^qQsj
z{W!cYX-W#-*Tkd=12zn;*)*;qWsPQ^HNP$#kOV74?0JvZBGHxecJgze6`Io`89N0e
z&~$A})$^%;MC<pOz(+4Fabdfl_@R1nD9@`&v`8-!2gjS}CaRWbR3;@dbHot$ZfDNE
z!bL*Tt()s-qy^aC)gE4*Es97_*M=P%*zmlx#!GL&91%X1LHR5Zm^a7geqUsRP5Wkb
z3nz12-Pra-eR?^(ZR3~<P3(AIr}N#a#0=?z)BSk`!pM|&TRh3)z?m~IFK<yX!`sdq
z=d3OZ!P}{|v+x}!zEaKJJxnphl`o<Zj-`S)+28PK-82`LNf#Yh$8U-wmyTwdEE7Zn
zD^RrGf(LUq8?83SnBb~cf<<<`0Gg9twdJKR!%_5n@8L3m^E!Q}wN?VCYl(A965>P2
z-YrA3=Zx_$bhgb-cBy{xii1`bKh_@7t$HhJjNAFL0kx_EIMT7wEoi0S(th5+&>Kde
zpNJXt@({r4J5!X8Lc&Pk+i_3JzzBPGq?rDAAb_bpn+22c<*+$(N^<!dLl_PP$)wW-
zK@^p-x&IY`OpZw6UVlTJ`qXr<p<NK^LL+CYg~f2Qe9P4cenYsqRUTe-TL|H9$=SD!
z#F2bq^;A}g0R}fstrbWY#-{CU{ab=oU^aiuMrW4+j=kwI+f=k1%>|EH%xVdI*xdX&
zRmK3Vv3+|shKYb<b!SnfsuYOZIXAsK85q6rz@uMR6vY!Nx20}M<C&0rreYQYA41Fy
zKARGSLs5xix``|#ow<`w1~5Po+RYx^CWd9f&gE-|<zSe0I?B$DfqCi2)n}IY<NndA
zN~J^r^UsGLxM(nNt@F4^Lh}kVdL?{Izp8`)waN8KVhnIdZ;zKAlfdZ4<H_F}l_4^?
zl8YwDz{|{7#T-p3MAKw9nD(lGl6YKboj3!Lnd{ju9G1rWPNv@NIaRnig+FoEW<c>k
zM+Qfi3^tZMWYbeqN1D5Tb=DdNoV1mF$2Z6!f8DA8_YE4LUv2j-jb%VI@xYPa-{qln
z)!3mgNfW2$Xd#;K8MuCSyh=4y5!Vc=UwmuT!pq1fsxgKJs6YHzNr<Y9!zXu3XG>^f
z(y`0c{jLE%9$%R56;r|K{z`5KPb&N)IzN0fGlVnS;k0B<RrD2C(zz0JQ1bH4qHmue
z24zG8td?*yZ9kPP7Sk{?y4@)BmJtGvX|D{JP=m+mYhTtp*99MM_-2O_OFX=!w@u-f
zI#$or=xP=%>HqfcY~}|{5GCIIrt+%>M1GoG5jd&`ny*1?Yq%*+a6WR7?$m_%_OO(j
zocj3ox282R(+t@*N?y@bTF{Sm5XjcmM|g&G+sQ_AC@J5n{*p+6N?ynI3L||)oUhyU
zO3)I^R_^F%a?!@x_RYq=68cc%bSPI_XNCMrva?_Q)5g?I<x@AV>S6pOPr1uwYfu#D
z#0U0M@!-LleLJ7f5ou`6Yt?82%eU7DRqCmr<OO+&MCoGxwkPUYQv@Q6{oGm8RHTwb
zSU4vQE|!hVoHIaTp$Yr+Un)+v1`F#lsStWXoC}x*ZcJ>>-`q+C&+!GWZ!Q#ARMZJx
zUea@0eT$6W$Ek2(9}N7cr-@Ys+iZplY;peDwzaO)+7L3c_;viB8fezJp!V4!?|cs7
z@2rhGC&&4MUa3H_Gvu4*qAiw<of|%Vi~@}zOXIs1N;u^eUvO<169GXpZCz)zAR8I1
zSSKNeXnX4|l7DS6bA0zE?{G~NDjM$hHj~2Xn7AJD)6)4`bL56?8fdk>Y~N5U4)x8n
zYOVXWNRfZ*DypxJS<{sP!52l~`pqSjBiI%+kKxs~=2fBm`uU@+c>)-HV!xeJ%NFb&
z^G~wtRp92ih76qNLE!Y`xZ)0=v*q!3u{33P#JsGXk>SMgHn$m%NI){Ih4bJCMdas|
zuy+nF5<R*F%AYlWZ})7*46e!J=^-0gm(e*wEGuW>OA-OwZT%v1VX}Dg)$F*5+B6~E
zZLp@e-3I&_63zb|lLmdKuH{<)3BtNK;Decr4b0B<EgQWmiQ?evKjc!zi7l48J&Rt}
zAZ`jKlzmx&v_`k%ZqdJq{0mw<lw2!(@>ncWbQ6b7>r>exx!;6lvV3^NFH3MoIDFUX
z6UDZ6_s^NuzlogQ=|Az-mY~P&>RpvC0`8=WU6j_}glhX0@w*o-aIa(Wb@QMwHq@0_
zE7pw@otxczMZTIZeUGZESN91b$?siBBliTs;T{y+4RidNR<>+Z5P%-f3zN5JCyD;N
zEE}1dW^kt)A8WtD2U@|lfHdoAV#}(Nn_qL9p-4AuN5fiPc-=J)U#mJxyvw1?j0Bh>
zso!r>g;)mXO#oy-o4>n$`s)297T?ht4t_8}wfM_tzDxdHcrP!|ddC7$+sW_c<z#}@
z9QoTflyajZ+j-C5$BV>pD(y+$Gh+x3MT^cEapO{I)7wl*b}YAS$Z;_<M!m$Sz>PjG
zyw|U9{l1F>me=JnSC<)~CsOI?a48pdEtBc%tK|gG*Z!ztGb6C^-!5x-#D$T$&R0K8
zxe>1R%s+-@h+(<M*|(awAXGs9{9eNY)#tPHPG>`KI^>Cqi*v)VGjfc}mls2v=Y3gS
z259-~xk@XH8>T7Q&nlJqu|qUe&MVje*-pH^R_r`r++Rp+niIe(^G`FKyas5@|LDkb
zj|XAuQ%d%eLSR<y3)qp*Kw7HX$oZqoaD?giF`rKa8MU5LCN2y_$DVRhU%JnR{l<A3
zO%#7;Mo!$A(8u-08umkn`EaTv^W5|<F)U`B|2%nH9~r|#p1ybZv0;;P?&qa>QOa#N
zn7vsa%8}R0DC~l$FBU#nCo6$f&DUP5Na~|V>P4Vlq!8F|$G$wDC5ghaJr+WxdT>u%
zucNHB9IrUl*o3X6;mYP7KkK50{Bxbr-@-+Z{mxfj{I3iy{Yw6mF-b>=qA64DxF~X)
zcTQV<lta<gxr0^3bbKrx-R^Wz3>W!}bH_g@Ku72B-q092-h3&{+y7J?-NLbb_J5U7
z%a*OLe}IlV{OdPna7f@%9JO$_vI;zChaX=%LWi5Mm0I0SNzgjQ*sDEM@vT^6@5>B2
zB%5bPU-d}gm2m4OldEb-5V*f?MGqaxTtZiwhh-2G8d2D`r1y&lPCT=A)WfzpkMPr)
za`^hsXJ&N0Cd`l77dm{<Lt$ay9sdb=e98QLWTsXN6S5BVB`*3{HN8S(Wsf4nx>RdJ
zth5n-#OJ|$tv+~t<-c|ZD<gZu@7nBgDg@Lo=O}GtAmdl6XXObM9O7#8I$}VBUxZSp
z<T8ULAFNVMNKwU6x9YSl*}Ax%ShW3oy8#x97IoQ*)e!c!_O0O}9ir*~j@_y?gmCI?
zmO#5YYDS|wbd~fW;q<zqvc(Af`#;KloYBC$_XlFX73kyr$h~^~MPuY%{9(b8*1}O`
zo%e1s3|tycB88kyakjH+o1Gp7o8&!M_xu<b?7Y19%|kQjpNsX<HPHt38pR^&JOj6V
z<XjXe77(<lUs0$@#aD{@kjR-O{&n5@GyKpJIf^zjcV?-mGFGeTbzq<{Ouu-Ig*DEW
zw&zae>tJi$u+O$OeFXGyFBc?j5P$XV-hL_#g|y|^x#W*JlF8PgvcMB}$D+$8Xz(?0
zpAyceBb5-eZ+r<Xo;z{nTm}u+!54V<Ev^4OoY#Epy_8>uf{%@b)6oBilxVS`qO84g
zW#*Fa)X|>!Eojhi=z@aA+J{;wTIqUO){%*?iJRa2OV_~_s3UMe9cPCH59%c{Azraz
zk4HNd{O(09Zg#3@wT|H1R?dW`<~}c@0c~_9iu1qIQ9?_7?3tuGCQLooPPx9Kz=qE*
zqFzK6*UZdHW}h%YNgmN&lc0scn-(0F9um0x@PbQTG84CaH=j9Rs)_!s8$3k>MG+8_
zrfa;JiJ%ttL*p&#7+~<a*2MEe`<KgH=yE2mo;$jta+ezXqFE14@pC~mG=GbBg)P1~
zcdc0bqXKK&#_tZ41>%Ro?T?Q)+d{1O`2H1f$`HGLY%<hnf~fV~aZ_djD2NuTNm;9i
z=vVEZ*Q$IcPOSH2Z;1!w>R$X;cTWxuNdr5)=)FXwc2iTQ(o+9r%}{Hq3>5DxY43}A
zOT_h-zuLW*z(0{q|I(Tz@pPH$6?T_f#H_F<*WzUx+>4l+s=c)WRL9`mxrvWi0b9tm
z{4cCwrhm?R)eSM6J9wvbw`DEs&+|j2iPKhydde<&{Iv*LTkO(Ktb55imcjo}N8bvw
zd#mEY31K)Tux!?9*0EmO@0~OXvP8!2mi!1?0dSIbW;yprmiN{U(bq*5;B(^}uubKK
zwN{i4-Lr(nC~cVTpEC!Ahq21jga?sRdhi}N#wzA}V(Y(@gT(eWwzVj6;Zg`u$u(0<
zn7(yj>1LV1lASvz!<7Ts0b|r}<u8a5(JOMiQ>GBL{%#-ngblw1-WIQ4*G#MpI_CUx
zy(#ufMs56E_K(oAxTsSa*+Jajro7&~%mgEp^kc66^F+^xidRf$H(~AZV%$i<1Py_=
zs=ptdBN(qLUoOl2LS*Z79J#cVcYX)?{kNuPhS;O(@_YTaLE`1+6U((`j3DTq*;bW2
zO&FwHPI56DA=X={40Hw<L63hT-|*5Dks37lDLrMB7!0{P7&Bl9W@)-_Ow%Ocdg1Qs
z*ndBXdk-D&NO>D#i`27^jxLi#PuK6<KAYdf>SjBG&|U*nj~`5E`8Pp)Ri(Ja2>c-$
zngUvqb{ODOuf{p6uM@=8Vp(Rw$OJL3wU2+(2m|CppFbW;{R|clv;5-}p}NB|qdJ6v
z03v2Zn*AhkCinI}?SUCWy_<-xU}GTo@wBVTlSv|&dpFxgzQ2UY;(r?*ll77Phx1^W
z#}skA{1czhx&<QfGXK7vT1)z=%y@NQewy%QeG&;|EfP{E&!s3w>fz49`qBS{X9&ly
z4=ZM9>`)Mxx%{x4j*Zd7*`qqM#FwMrwwb4Jz=LDmo^vz0xZSJyA@}eck;nJbG+lxV
zo(q~5ZG<j<ml9c7-~SSO1|v`UKjDVN!raiyL>kz4cG-QnxIheZjL({%Sca_GKS%P0
zbPyzOy}!qAk>I=cL$Sx754XyrRNmR^fO`Gu;jI;HsCUmS+i_9=XEgmk-@i{q?ZI2O
zk9}eXS?P06;e`-tt@mWVS6I^fswmG!IZoIwr<8RliXb6PVCz_hHs-kmKIWa^LMb!y
z%5118RHG8RJ}7GA_63`fL^dAy%-y)fHztOLl`l#!6;i;tqRG+o?lS1Nq|85#TY>XM
zcdgg0q2T%u&u+d5K3Hyu6??IAX)aUhs*>lmFm6>FF%vF;pTaMOxOAlvW>@)HvQi7t
z3mZ<}xhsT)3v<B^R<f9De|LH!P75=d@}vGdB6wFU7-4oy9{0HppU(->f*f<lIra6T
z_>cE9ebay<iq+1(ULK$YFVoHYBCEyF-ZLA~%Th*%w5~?h87+JoRd5bkxdI8MS6dHh
zsiJ$b(~qdof@*Wb*xPXl^k-B(s=lL!mF`hmr^P84`aHJiTqA|~D-R!q*lD1;zH}rZ
zje=0xWUPCs3>Jq~Zih~3;_X%U{q$AZaQR$6)7c=0kg@8ZEEWZQ4*#utO{YTUO`H;4
zKoR%Ko|Uh^MnzHMSPijG2kqlqF8P`&Ln3#zp?fq99PTZ5o|n-OKbjHu_qYnq1^Iok
zIz&hDg<Vroesr{1oAA{)s=}75q)0<gA42>b$8Q<xgB>MIr==V*%1KH^$}=##{dupa
zHv^k9yyJgd)4&C;ZyM}#3<!vAT47gi04vAThdqK?s4x^6%y?!1c_IGepKOevyY-Ok
zmlG7!J11Y@^D%_b3p<}nzm0KR<YLpBL2bNps*T+6-Vj`m!;;ZpisW?+M<oj#d?I@k
zj|v&V(mvx^RlPabPt$B=57Y4Txo^88mk~l1J|7JGXo=tae{<|(b#d#8fM@w5LloS+
zVv_gA8rsFqLkIWJ@$`ClJCA@N-rT<x-^u|rcl0Fl2<hR!(^(7eB@FPn>xyLjKR{0~
zD5Whx4>`7Z<Go9M{XTF|BWJ)CPv(ESOh+u$cRgC=kVD6736E8A1x%>&wRR>FdeGUh
z@zP;49elP|cD8e}!=XcxREt77;&Y5cDDhh8++mSr{LBuMH8ulg?{(p$Tan;Ks$n?Q
zkA9ZN9vkznsp~$XA?e7Yq<J=FTxySDs;Sw-ok%zryIKdQRYsyaK1qY`SFHCwDSI?u
zXgN|=p^ZtKYU3t5F}z4i@`xL;L!ac3u>~6i?>20mS^kU{-z?ZSJ<GJiwbO|jEL}}l
z?Vi<;=UpJ&`EfAQ!VWj*Ee>pQQ%7a^ZMjz|!^HIB5yu0snCMfuVKTa3755$8dQMe6
zXPNO0{e17j#4+1H^rmEG2p0BOJk%X!nHyzh9eQmG*EH#E%!>*Ldc*m7yZsdFC1ZZ}
zue~iAXbL+bRAsS^?fMtJ%6Zm(;#sa{4dCO@b>rEvBtkW=h)UdLBX_3+O@1JN$(Is|
zX9mTg5Zbz3(3pcH)H`ESqX`UjJifw`6GgH`*IQ9dPLeHokL|W(n<c;W<S3FCLi$40
zvB;a8WLq?~DX+j9U49x{B|>>I8yHYj@|=^rzxJN?#Wz+^UB>dxWpW{{#+jy_$4Tzk
zEpg(*#1eo0@xO@;V?!S$pzMn`Cz-;nAuCR?M8fqFJtyrsVqe$Rh%aoMr0X^st!$SC
z;`%?QT1rn4xl>G+sx%H#B%xV?k#COG8%3X0Z~sBCTmqYAXdL8$UDFq)ew#r#M8s>j
zYJfO>Tj&<?nw>mlO;?JtGsDhRV{xxncMz^8gjXIv%ubH3A&>f8Geuh*#jALsiijyY
zq8@9&PO>M}q-)NapqL|F+O(#U)x6cm<vR~M`8O?z6~4^`q?P#lk-1h@kvNB`*#sN8
zDZn~Wyv`Vr5grT$$zIl&T2<ltc{Z|k!)(U`17noiy}=imL6#7sW%Vs(c5*;}`xc2@
zBV7KY?E8xxVXaT)9b@cV!s%?0q9|{K)}pHRJrX}ywA)X!hHBW!?D+HtdFh5Q&NS}#
zO&w#+`7C~o1qb=u4W-FahTy(75E&Ua&f3|%^ZVCc4)PdtaklZA0Zc+RFjogpuwt70
zMuxID$w`3^EH`xnY%1@QJL)#YDxAB?NI1zwo+wC_5-eii<Vyc{D)brF^KLy^(KFnn
z&fsNsUM2&lTJ#e6B<5K4$v;jE74VQHbLw@@o%%5R>#BQ^Z=NOkwBNjHdKp>rwL5C?
zfIjriGdH!0{$o*pDJ{eY@{w0xT;=;ItPl5W`ksCnHqz?+{Sz5N0%TF`i*oT@dT{F5
zegC=zJIQzaiPe!VK~hhpNabx29j9|{+~5l0ASa^E*RyvDlWO0U-XG<sW3=tA>c28h
zas##Hl1Y>ZN%3(`x)Z32wq?d%r=+>bp9!3TGG(G<v$M^NcsC6)eIK4Cr1Fr;X4<2?
zJmO@O|M;hr4K#Eroh~I9yrhaH*9q<;D@dvFs!07_9XuqNGp~R0kp(g-9Gcvcq)^y=
zh2~)$*vMvd9c>XHr5)<#FP2M@?RxA}zhrd4Z<FnQw_AveV!lb(n<PUH^L=5sv{13C
zCO-Bjp9pDtfqUv@k{lWSGUTaaCKcCG75$y9MaipeKD|j*3Z%<(=OpI{DwG0Z*l6)$
zq~IBruMw{@X~pI>q8duYI}U2?>Tz*$|E1=b%2g`lv9lu^`7cnB+_XN{BUFME=;O`3
zdP9}e`EmbZ@pCFN;z*lkvQi{9W20-9pgMU#L&DZsUI#|AfyQrpq{%eKIqT6x4f1V<
zj?u~MI_Mf$HSAL(OL~(hJ-gMlNV!Yf+d|xEun<fO8>*8hhZj`5p1q}zHwvo@iy68Y
zJ{Tw^KB`Dk^*482K1C%tKli5yxzQ2eFB<eEU775?Cz;S@K_fF<D;0JX=z(8F_EYC8
z6;i(ZW{lF5F8Ma3xvU^ZA7sVKpesCTBpNjb`0nVD#y*Gk?76~#LGWnuNjG)UuSRc6
zShhZSxhnsBeW?L%Nq*h;EmMO$Jfh+l>CGTF)mrbkGi?Y}DSm0~ADX1lhu3OUP6JY#
zPS;A<VT@n8jqH2ODP-w+v_6kEARliIaL^nxL2yOh=)L3Gq)){*iuET0l6v#??}_VX
z*t+(n&96ID(&Kw_QqzI~>7?|uZ`{uUUtbEDZmH5C`@KibR1X@E<L`SLkJ(t^<HZ7v
zn|ElWTPIW1Cf<M)jCi5tCu4)Ga6gYoe_e9=b<NFPqYQF&kLCXCZv?*Rm1XbxrAuyk
z?<v>K%OLmVKA2o+0_-29X7QTS$;O(d<<A@S$opC1VRzGPA+c#kv^GH}b%y3jb}H$T
z;*Xx5TCine;-gpu*P<@@&U+|CK%Pn_ZJk~d*1*KUvApk(j_H!>yn~tI{hFk-()QAm
z26m9XW6+`Vh(-!_?<?m_QX?O4DB(yAu>*fazX$D(4jIz@CH&z^W%A<AE1m%t?2xl=
zj4d~SN?!dr7Dcg>CH02-64GMqFl}P|M2l0K?0cU-HnMjGx!OI)O~Km^HI^!y>0w%A
zdzV8B*GgfMgU?fHRM8HU@sT6`A2djrogF+a+}xyXUgtNvH%v5txZozEqfV~!JP`KH
zYK|rP>-HU2KPG&rX;<@)tCGIdRYLys@2u~~%1@U}+rq!BZX8X@Wa0Qg=dR1OEIFqd
zi|{kHs5w~l&(~X#%yHMrdQj9!80zyp8sf9X?i>5F%b9ZIVDtyq^z;#e{o!7#qnCho
zV~3LwYo*D*D)!a^lVe0s#hxKfX&@nH_bo=E1nJ;icIG8xg79?ObTZ$LfKQU6uF9eq
zdESUwb<KW?IDOFjzW^^AoZ}BWz{(LJ=lu19e(#$m-pm}L+nuxqW$jT_wts@;wMi*e
zy{>73Z=ci9l{_o_jgCI;DZ@t&^i~Q@v!)3qCuK)ehb59jts-30xk>$x+xQ}w(}dQ(
zWn3SHEOFXnZc9iA2dTQK*ROecicmOKd~cnr1@;`vEn;_CWNFQQ`n)!Ek{H{}u{$}*
z97f~Q1%a#QSX~@3{t77*#QwjJ>&$!1z-6;#pY`A*tFJzxpNRiM%**{S8m60J*ZSU=
zxW(TrM#$es6=%l@r}h{t;;bp6_023!sr_KJIDQR`PWnw8+BjGLqu&Hp#XVjXa>J}~
zl~Y|>MPtPO00030{|uLRG}V6?$L+oM%(|{?UDvhe_c0Sn6sd@0q!g8vQqm%`L_{(Q
zA)@q)<ogjJE2WSkGRmIW<LBS^dCupY=Q*GAe!btK=ErIC&9&iu=8%fwr$OB2JRctX
zbq3q+Nwrfb(t`5%Kk?7@_TpnwKfV@RoyJZMkUFVCTHs83bbDUx3%-l9>_&sn6xMTu
zGw1$IO<37TxocJP0T*{Nc|emeiTS5RO-in6K;WI2im=`?Jkc)3=g`swws2ZZ{%L>)
zgwn*GwwX!77WSVQpv#=VMxyWNGfq-LRr`31%cV-}gyVs-hMN;u^2oUfiPKcb(@Ucr
zU~0fRE8Nz!o=;#&w+6M^r_^CXDvL`px*e-a7j+urpTxc}|M|UnK^=aLMOv5WbYej{
z$)BH9PGU>>@+wK26!`tzI?-^p3wt&?&Y6@sg++4+UJSWI0aCqX&(Ev9n4?%%D7kJL
z<GSsko+3s87cS8oMN56yz_;t!<^r?W;4VM&%A;yvmVRfYrfdK^ClzQU_jeX!;7}O5
z5JiUTqrX3MpZbltj0+nb>Yu}^e_Q$(zf}d#k5%doO2b%W>;wB_EAv?F;Yamb3o0;F
zarGJh+6eZW<%5)v?jqI@brl{{RbaR-HhsD854Lu2U&{N(|F9#4d^KDl%3$W0E$aMp
z47<J&7$87h#-t*f>`iKwz$5#9k?8samU-Syf-=8?v79)wMB!Be=O@AxZJ5S_9+#3U
zhSo4Ofd>D6Z$%Kw&AmD1Jd53<m5yj&+r*YSZg@DnCqcq*_S4EmbJ&-g1q}Rt+t_X=
z_o7TW5(LJoxM5-o*qf4=5`QLI;J5Ok9k`<a_m9L4R6bk8%<}?Sqb}0HYfYHPR*0||
zBQ)#px`YMZx}x%sj{)rEZLF716G2Pf{pB^i70mpQO_bF)MyNksu(^L!9)e^#rMyhn
zFd=ul?&J^5;ALD?^xQ`tvN(92%wFEW636Iu#{aMa-=bdc?O6g0hN)F}O>be*`)95Q
zn{WV0B%A%>H3EqICmLncP6IBsC(K;BxWIzerVA4%KzwtT`b$eXIKg(`wY-Z5dOLHK
z8f)ahDq}ljeuy4!KBzMwc=G|r?Db{x89A7k@;AzU#t1XpE~r*Q05}>yxpgVXfq-IT
zPf0p6=!<BCE^Z1!dJ5Z1pIKQbDyMTlSi=edyU$rza*9C0P4<JMO|rmJG_TJm!~y!5
zw>b9i6N9i(&u29+Wx?pR@X)h-E^s)~p_)}M0fUilf;~HW${;6&wVDS`MewMlT#$mJ
zH_K2#t1LVbO8i2#<b$`f56B{FG7yv2S!PWq2i~6<^?xt&gX!M&h7)zN;K*A@zI#{>
zXeZxKr8EmdKuM78kq`p#{+TV6=#hg*QC?oTABCZ>xaGu@H4(CZ`V^nKK>(-K`7cb1
zqA=rf*n!oE1YV-cgg!5MP>I?o(YKL+eXZjix;9Es>X0h>>IM-;*iAmnecA<+i7cPA
z&#6FQl-%6xm;&S)96UXQq@nLhfJ8t68GcS^C5k>)gu$T$fBn>C;Uj<Om3J2?u>Fay
zvHiI+40cRXOUmTH>~MxhQ=&Q~t1T6hq{wi7MrJ(9Tpm(w)K|H3sc_{DlY@6S1=L40
zdA){+5V^ISZI-1031+imKV+#uJI#J?;Wi24qpWR+mo>rZT}seV8cmqB{oqEUqy#b_
z?x+1EX#vB%;Y%L;+K|p$74Cs612e~JOa22bc-V3`;i;o8T#}ZK5;If<ZGl_AnX0s)
zcXPSZt6Cr4|0^9Vy+?*`W3|a}T?@L3>AhrhjiAR$@^1GlHQ?`*Bx;On0+lA&um2SW
z_VM2?QmuFP>~Nx$pU?m>iFeNAGy%^zUMc;16qxyTOj|RW3Uj;Pt1By-!a=o7eW&LX
z_>ul&_j)@8)~EOB$jF$%eY7&DkxGHe)Uu~~8LB{Bd1rlc!VE5UUzKXGrvOvKoR77E
zA~g8%Ew4nF14*Lo$KTg#@LC>Ep)DnVjP0-O?0$2=?`@gUo+pFQ#NlLKWobxC&}h<N
zv;ekz+c5h96;Lu5ddc}#7?c!LtGQOqq3gr#9914=ICAcv*l-~?L=Dd@>(!dW^N#`%
z=Xn)j=1!HzSTQYRG=vXe-sX_!5%|P#kqBK=!!P8jN3qe`eXn`u%m6nUXZ+kqfcNF?
z^fW?)cuMQ4koYMxAo9?>{gfsPr_XUjUQbxTeK$W%l=YZG<)sTp{tJ?Z>HBs4H8<!`
zutmmIWNHc}dkWZ2e3XDL)9Y7$X)&WmO>EvZ#U{WKH*8D&Ap-VJL)`jlZ0J`@KvBD>
z3D}hrM)oTS0(e;cqMzhIYq*`uQVf9S?wcH!t9fBGDiLGw;X+M)f$xqm03532QY$5K
zLbYpScYz@{`mnFz{VEd%|7l9T6!ByRBT8G<o>XphhW;f-FP|~Y-6(T;tw0C6PfKrV
zWpbn7;^TY&C>z0#B38+Zy=$0?5=XVRA2&MpG2(^0y&-fH^0mG@&trcZC<%MTxX~#U
zyQ^-I2Cx;om?`c*f+cb!dE9=>g;pBb(ih+9Lv@O!#x>qgSYl$cVCyk1RM$GOrBAO9
zwl@lP=MC245_fj7WO8#Mh97cH9`<^$HMY*q^1C13d$-_yT^A>MaOaxLt9)J9zj-rO
zYTp?CG~ZUMw~7;83^sO5X4HlF+WrVv@j0CC#O9F>#EGb*2fp1rr2~4`t`GMs{KNT;
zWz6?Ya-#1N7g~39X+uLrQ0}k36<o5XXo(fL5XWi!HjkAyu+c0Bhwk0Lhex$DIBK|%
zy+EJ2G|~dw30CI2H@ESBk3Q@f_u)pGbQ79HV=WljA}0RZLyM+*4K+igc#s17<L~V6
zHDU93f%3!mbm&jLo{>}z4+@jG*4}KR31h)SBXLv)<k|PsG0cz`9W&X(;P*oVZtsZ`
z(|XK^UWVm86P@8jUz1LsVLqn;q-%`sah%NP6}uHFt%?t^a*~AWIW)kdVx~bak_C~N
z&->**=12Zg6$L#dR5%jfaweXZ4aMD}7hK2`Kv9^pN$epi+|KdZdYHhDnCm&S?JEV*
znXcE*b(pEpG@|!fgTjeEmNqmd%?P1}iP{Ov8g+<Ozx;S*lnYq~XA_f5MbNt|9rOC(
z>X6zQZ}<Et4>~kNM=$?U6z$d7U0!6a4(@j=*Y-K^qD}rv#Azyy7`53ntp(Kq8yg#(
zbml|ruRkZv&PX5+JEx}KGdn(VbPwlR06(JXeA1`?ZWoGi7#4K<MuC*%w=`|(0%()x
zku{^EG|KbDdm9@lP?}qKCaqTxr5bj`Fdvmc-z<HEEk97e7q>I;Aq%4)2c1UM17y(>
zt(B$R7YaObiMzv;DuOs3EJ&0m$syi;Gx?@z3UD!LyV8h=Ap@qTRfhEh<Wk=pTq&Ur
zmxfeQu9t|TZR4?bv)l4${ruO>yRPc+CN)8R-%&}Fx!3KFuDJrLiR0;6DOZPs`cF^Z
zlaxXSeg>@<#gS01(;d^KT~v5-gE4mUqBKg45fGd1Rz!z6R6fsUQ^D2C+h+ER3@ZBk
z*eOL)8T}|ej-4~sfPGo~u|~eKXe~8$Ou|_OrL4TRm;0vyG12m~uYKjv@PtfE_f=J-
zDqi<Jqd^m@$E;2l`VkOzX680qEEzehHx0CwYr#15*)^V(M?7xS6u}E>Nall*L-QML
zxcc8qvbY}+y)3!we_W7)G&A3la=UckL3*~kh`R#1a=_j8*g*>7X>MCkXVrro9x0Y*
z79>==<%8cpM?v_+2_;%vec+Bu`?_CP5hXROlPgZ{%=<>aFi$f8@3@a8$37_{6zZE2
zq)kCh|A{2bjTr(rdQqr)QV9j@Z5Em@Q$wC@!|AJ9#*iqsWqJOm5(<+Pbl;yvM)n~a
z=ZXU{aMs)x7_Xp={tUAub{VK5Hf0o+u@As<&L@4?LK&5Kyd4XORYo&h<%8Ls0L;>O
zn6#EMTH=;{^W%{sV%+!QI<hbUq5TJu-=Y#KEBYxob43B+r8IH7a!lY+Sjbk~4JG6}
z<868$<dGheqRPOi3EXa)`quwP5#7HMly+-T7X7`L%>n$T@M+g!CskQRr2eBXh`m@E
z**|bEj8QO!T84;*a9t7#;P`YhbxHztZ=2*Y%A3N%D(+H6Q9%FR2Z@c<iJ<VyFRfm2
znu1H9$ezQzMC7J~2=+4qh$!bMEkA4mVLoLkbb|!MQhCj$Fq{{C_~z$9E;4~0jcs1z
zJUKMr&-mAPiUWxbUEKBB%LG^#>ABT>WYO-rj*a>^%*e6DN&SY93BVCf?6{%~^3!>8
z=D=ZkM1D1QP6h!yj`?wS-;fk)7k7>#+}_69(jvL*JptCFtUvNcNusB@_v`sTt>U2v
zNT+u*0X&^KG#9;F94(rYMTEWn;ieT9d53K=81;Ce_n0V(*tRs?qGjfBar5OY^B7}b
z-`tnqO%g`6-qLhkl{0v6k@TWyixC(b1QCPx3nJpX9!2A!N!&B~b)+Jv5ooY;cot^z
zBQ6yms#MqnUTbI+>F!_%cU%`saDG1I8NhI^2qtj10u^JobOT6k`$VxW<v|QX=X;rG
zCvoyZFkS3leb}RG9+*AAh4OTcOxwpz;Z0_KpJny+!BFL%-f$rYI;hYQ;f&AVsr0n}
zOcM1#%%RAHy^0O>x%fY!H=M&aNqegn#&v<qYL@E^8!IxD$k#jmX&&EI)LExxtqZj_
zT!mVx%t%4yD5rDcA|7U&>Am$_2j&-jVq)Bw(BA2(Hrmi7oRw8S0)%v+H_f`e*o6^2
zdgLVf?Ai*R5uQMtj?{)W$>5iau?*;Hv(a)`;Tle1ZjM}A(1HWcF9(~9)1xPsJUU=*
z1K(_YC34hP3z)O)Pdf$DBWJH_7dfYGTw*@|Im?hHq{%Uw$1BjI;Eabl22(WXY(Cx6
zw!0=+m=##W(9)w_BhB|Lfo|vDogtbIX@HFai>M6^J$lQdIn?}=9^J^yyz<Rg0}e&~
z{HP#Hj~+ID)vb|YL`=6o^nF;QLP|N`*={d-be+EWyYCAobRuocPyPlK{5m7LPc_q{
z=9bk>_aiJjob5TuDME#0u7V63yPdtx6<xe2&4yb3yySoULLFwmDU|6gGN3Js+4c{N
z97svR{2RkQb?CMpcxhG1hz!I;gcCWrkQlKw@xm+xaz;d%`!bnOSZ{f9p(GCyFI>`A
z*~x{srhZoxJY`02II7Cs_VA+nS`H7xEhrFO_*kT%odt=X4U_DM;X~vgX3@AgHP9sf
z71<@uhTONcrWZ!}k+!U8(yXT%ya`SmOo(Mi(<I5MRu@5JmeuJ?9VNr;f2YcE0w+qS
z82fT;hj)iwu761gCPNc$8j?4{g-i@M8=qu}Ab}8qdbltdM%MT`D^BvDr5F*L>*vLg
zT%6*O=gq31#r@Y)HHa6j74$x?@RmSQhH?g?_f+9n!}i9hG(HsOkQQ5UWfyvq?ViXS
zpb9USZj*Dm_>olJrb4@`G;%qXY$V{L3KQ?SJ2zDY(Ph)Qip_W#<j|^=rX8jVN~=mG
zce8|$Q;@^fw=c5jN#~RD55=mWD9veWr6z*nE<Aekk+j1vQ-aY&Ix?(YKIz-qD~dil
z37suTkVoQ0TnD|bl3~=9Rqsr$ILa73<D0~|<4^o<t<wr>5H@YFy0PN}G_Y|y={5<S
z-<$pD2n_}LR0*-q?nt4=E$Zc5UL}+l;#I11n*wFeJ2QMbrIF8XMt`?VWkfq*EB`}D
z9Y~%71}COuP(`r|{*$PRqI?#{U8mIHg%6kAAznH3Xsop7Rt_0Wb_{+D?4SaHW!fvl
zkbtt)94({hDM<H0Q>Df?4PeJ=H{YI?M}m7=+D)HOP{Wo3rD0tYoLje&jy)tIhmv#e
z>s8c|($6RsX)|qD*D(|~uTwy?p<0`NlGTxXU~0?r0v$LJuGwxgKtj`laRPol>gc+{
z?<Ovi9z;*tcqfkU@Yv03Bxp(<QADa5N2~OKuIf@pMz0e3@hK})`I9<&!&J@Q?Q94S
z_Tu~B7AT`j<Ol}$i|VN4;^M{U%SJ$?T)pnPR|Oq)?RcOwPC>t?+zUEmF!)Ldka<wM
zqjyRjDwd_7h^Lp>uHFFHk|jRO+TPKx&R@#kOGbIC&)sjUn}APSXt@KuD!Qh4pOn3>
zjEbMQor!8R0nWni+&j%G$Zgg7PP>O9VrZMcC9u;MMuf<3d>mEK!EO7pu$_B+|7PE<
zm}v^0y`!4WdCEwu{4e{vw{l2cQa}7;uPKb?KChgwRYJ>gYr9>3Nu%(^`YhpPQ#ehG
zvdb<}M4ZOiH>-3cP@7{6Y5kumypgK1Pzod=w@B70MiybDPPEBp*m*~BV~IyWTmd<^
zsI0f!@S#Ix5y3NgroihP!5mgBk3w!Mb9X9npoprv%J1%`5OkLP<Yx*2aaPLorT<{q
z$$K$>|FD}vccFc`$qQK|NVo6RokN@Wa*Ora#t!ecuUG8dP?teB9c?-qq!(}>tx&f+
z<|d#~|EAv}R0`R)4+?$yHi8R`?3)hm0r*g#Smc{8fp|@vro`C3;9t&vs1i8^aQxo%
zqRgr&f`5t&*PQQTe@@hhUtGdKkJHzh`+_hEw|f;abf_Imw&@5uErtP*uQ5-G2qME?
zj(7giJy?b|rDMp%7!dc2bNeJ8`f4DkAEnxlCCTLQi=Q=u$o_$mGc!CW-n@=e(02ga
zEd4vx_Sg`xQ!c}wcKU<M10SE(*a1v5;@GHbw*hz^$f0g-up!r$G((H{U)agAkCBrC
z1`xRZ&O3*j1*K2>mW<{8#QJXu#0NO*!@(Ddd}4u&$ja?hidSV1MjJ6F+K{aWOfCAM
zD)RKG11V0dihadyq&4tX&FX?PgHg1DBrT#j;aG3Q+K!P@rA+xObYYe^wxa9#7T)Cj
z-oMYP4pR$^Ex4Dd14oqhoM}m2$AhP@vALgrfu)r_cu%vb4WD@}`)X!a@Y!PD&ExqG
z@XL#}0rKwJ(5}%;2`yT}HD{7L%T22B<YT3SZH-#6s78O*7hl9xT#~xfbUxxL_dfh=
z(a?fpmO97l<Q8y)q_);n;V*dD)r&>{ay23HsQ#^pjyc?cF^2!(jc$DVO?;cYh$hSj
z5NLdBW^q^in=<dnPkftMBt<__1BP1Z-paPm;6fVv*nUe5;?76?>jiiE&X7#4Zc+3!
zzG4~SXWTx7KbGw!WW?<BoxwjwxlgC?drFNRmm)`Tp8gA11s4@uUSV7>M5l13n&a*S
z(=q(0&NC64WOW!*xD?jWKZ*0?cv<h~pTwJ);ux%@)WIjTHpFUX68})B(R_Df8uyJg
zjLRyffc>{Q)i}#3y#2pF-va68aMfgCKg@^%+5A0Z>fjVEU}+ONm^P1hCGS$!$Weo;
z1B=c*)zf(AL6UZu)gu1&sY<C;2N}#ebl>mlnZZ5QNo6Pamhh8PenO=TWZ=y@zG$5`
zi&K326lph>@x<NVUme9%!3Fz~f5dwZ-_<GcY@KxtcgxzXYaO8iH-C4wjUAZB57oEk
zSetC%mDAIA!yA<$X{IoZ=fnc;!JYfXD1Qs**L^HPE2s?Fr4=O($&0uiJH}C;MT3yg
zkIAu<O3?rL$8hH4KU_1NCQhE64jDAq7CP4{!qI=4TKi8g<GWr}z2Z%wN4+C?ftLu1
z;Ha1SR!v|P*F9Z+Ud)0K@sy4SB*v0}CnWD>$oLx0R$LPzF2RgeQtj}+>k2?lxNFzF
zlW!VbmNqacR`j?!n{)EK0{rxEHwYnb<6cEe{mcj0QLV+NK8blEyz`vcbM*@i>V6QD
zYE#XLIu}o7Nrn-DM(O9ejVc|ote|326drVs^;5%Zb|R$nA5^|nNRI|+qcwDLc+pC{
z)?#12JeX*2omJV(h~^FQKfCGhBgTo*;2Jx5*ml47v_XU!k=AbgDVrBSDo4dN>KNo9
zwDQTPWgb@4;c~Unvs(!5zgJ1fX(B)|ht6!d9y_8JayVA|R|L^@&ffEVL;%MwQ9<Pg
zoG68O{x6r3IO?}?+K9hN0NXo#)Da;b^qUlA9+D}E1}()OZ(k=s^H9cb-fO(bk%z1q
zK#)cuCazZ03<8LI+oql6;72^z=;n`P8I)b|qDJov0ZhO9?6-O=fHLRrb~q8_P_yID
z^e!cNAO{ASb|eTPJrP$nl@0>B{o?Y=TSfAqb@t)etr!vHBcJ$aAeD#+oxMs4M~Gl4
z{O{JOGBHGZiTHi|G70U!9VxYGtN`Jw;qIcelBoU%zI5cG60%R)E&srs1jNK*F{4XT
zJ3e!KGB8>NIUIT;@TO4_Se>#DU*MKOG3+DvjPuCIi+r$yHC!1&N}avG2Fjw7UfdZB
zCnzYHx6@28S`}t?)jvy_kV6}b3vX!8s-r7Z<(C-?YG7&CdGL6EJUU5Wsa!ZsMaBw7
z9Y>F=LsJcJdf*ljMbXik%sFVFj5wvwT^m%8UKDH#NgyFzYwVw&uqLWD_<X&!MH3Fz
zRSr9gD<PuK&HE3FHPPL(%uGwo+7RTrW@nwMj4TLyi6llXG!caR-dxaym);+Qr`A-^
zx8Vrm0|Hv8z?AoSj=lk$2-)U)rA<aJI-c6^|D=ih4lcOvzH0<e{O=sNZLEe4CR!XH
zAZwzsy9CetVGI^5!2Jsy1@(;G)Bi@%K#m1l8#&x2VAWH2!U-to(u-C(%6E07=osUE
zM9>r{Ua{$}2Pi1Tfx+e$m4cl2yIdY!+2OeC)H{kE1^Mr(=pK5gf~fI6qmgB1kRda4
z%kj4ws*fFt7rjD4?!IH`x_aiY(Vu#=e3gvu<V*w{HzFWw;#azhappkvuBxfVRZ*v&
z7Ud_CG*WYr3D7DvhyHPzJ}RbyX4$T=4KazJ3&-3d19QwldP1<v_NEf@jL7Tn%Hu(2
za8>DBXUt&$6J}4&+PQP5$M`mt0hL{KKfx+u4!ol0-!wfYqMjEHmxOxeaB@yT#mX}?
zSiBR74J8r~Fe$iqx|d=P!rF*KN@mb^D2mQELKc~Ko{2uIH;WPNNJqT0O(9g{bM$hk
zG!iQ~cW;ief!*@mB{0rs3MGVL0VO6$WG?9(VwFn=<!Zg6_pY0Or@y?Km$fJgA1Ap4
zFEYaJqLXhOmjK$dTYlv>3ZmD7iOX_kEMWDzCsO4MK!Z)4*R|_>$oh#c_r`lxAfFVB
zy!izKEtjj2LA2b6)_2g~F^3Hdp8hv@xXT!Z^6tM0zRHRox_M`Lva-YObFcCgM~z^A
zal(J5R~XP01&%&>F?M)k&uUgpYXltYceC1NxA9+kDN%1`*}$u##q1`@5YC-^M=RL2
zjK2uFkiVSE2Id+atZj!4z;;fbRykr8xA@JUt8B>zEE=kHt@rgIv(Cn_b9xBR%x7q+
z8DWL&{Do_%M-Oh^R;l5;(t*c$%Rc%O#|k+@+U)ZLJqT^Pk(Bbh4BMa9;$XU)6&~_+
z+^GrGg>U)+r-GEau>-2^W`{&rL5Jb;Kx(HByb>8vT%sSwf~u={xR_W$`Q6i2RxKU4
z9!$J=;mHKHd-GH;mjEl|hI9NW$<PK19mUXOn>j3jU&4mpf))DLeQEUAwBd4*ojf&s
z5#!2Cy{4GX3SPG^9X=JV1y|UsyTyW*vE~YemT_S=Xn#nY7g*ASOn>=CYgof>FA8qt
zSF^!ehd;uiftpZk8MjzHzJZxHC2q#vVTa92$E`e<H9#-@+2M$*+ZfsL@N{(~2Mmrl
zpPRj^0sE6uF8DCef>HCeHJ?0Akh&3_SjVXW_rs%B`K;*Rk{W0Ck0mZB=-XR9lSKs%
zrThrB1bPswxZB#O&jY_sCD|tFQNeX|f?>Fi0e-5*z82);g%gL*E`0A+hiihXW|F#0
z@V)CiW=Y2f3r(C}o0rrf_?MS!YBn>3I{Bx0aPY$^CXWeAqB<=3n(UsGWQEXy%+^?S
z0T8X?;p6S504<m4*Sjy+fNbdScm2E|oSk1O`4~@uMu9Vo<1QR99=!1P-)A8piIMad
z_fla0Z)RsxA{YF6zBSumCjt~BD}NP13LLv*ba;Z92cE6WJ5)@GLXn-{QHN$Vh&bDg
zo#f&LCYp0ibH(DIf`4JX8m<P>e-G)(koe&2wNt#;<0T>5`qkqW3pJ=#^p{R_;)fYO
zWf7GmDeyveUT5UhK!828Pb6Ic*6Tw$p7u#Y;$L*`&n`9iYZA>(vn&X=){;$+(96O{
z>z1=zT54b_hlL(HEeyuw(~ZXZa-cVIZkYA78vF_mO5|A;0khA#a-P=+aNpy?8~b`S
zFf3~Mn4KjCh40i&v2J<D%@h_oAWH$gLx<QjJS3oFEaCNaJq7saeO{6#lmZGy^<pkY
zyCAK$e{}5$2`Zy=CJaU>&{EpRctb=QY*`NU92Qi9KjTY}x%_sxFyt7WCn*DrGt>r=
zo65j_-`Do|POdvd*AbniA`7;w{C4(JDj+MySMt4$3jYHD0RR6C*JmKrZxjb`tE}w3
zH}|?O*S%!>9rq$CQVGc{N&Sl`Bb8CvB_u?Wid0e|QTRQT6>YOfM)t_aUVm@Ti}U7r
z&iS5?`8w-mZ-x@Yx!q}gWT6QPqoIn0PiP>x=a#LRyE3#Sss%Y*(E_%k9Yn7J9jJYF
zKC1G93fQJ^Z<O9cfkQ7pIp)3B1$rDuT2{I$ba~G&rM;(sM`8sUUfB+Qk~Rl^JXQnq
zqlM4RB($OQR%^P6tv;}<Sjdz;CqUDTo5~MsZAkUGct*6$06L?R%{uN8A?~+tYwjLx
z_^!IQOOtE_nhUd0k)i5vCd20YUlnceVQ&bz`NS9or~^trDI{RK?fta$0|j1&D(oIm
zGllwN>+QBU2{>KHcQPANK&WWra7j7_iwXOxSL8H+x!#<&X-X3YMsk)#LjY=xUaLsj
zYQWJQ0R<F6GVnG!{`3<v1A?jhA1_M{_`B=Yj^Y7zuswaAA8wh!v7uWW-s~D+tL0(I
zbCCdgJg1)h*g^-gh{er&$t2h>#v4B}t^#8fm6M+w=pdr)2iZgFpcXW)K;5MTti1x^
zLJ4%}{}(U$j7J^Txt;2rp2|bKYRb+n_vyfPp4<ElClMSyJ!WHVq@nEUD`w-nbQnIn
zGF#uL21oPbZ<<^e1Je)7`*%grq4mju`MA5PkmgfYVW2MrMS&YP{0`6|`_?1Ashujo
z>J-l+_ktImlcMAegz3OlX!oLGL<!DXqf?Dj?BMz8R1wsgfsbGBjQkZvkl!}dxuMMh
zZJLSsWB-{!_LZCMS@H@nNpGNLcPwLNwE?jVZZmk_GFfyYP7d@+Bh->)XR#gopBMkm
z1E|<BF|{xv4WnymuWdy}G2OzljBXQv=VwN2*iJ}-puW%Xa~(ZcM3!x7%OecVlC@s6
z^NPdxLyKew^A>FDsjVh)9i|ZW;f5|(mk2Z`EbLk|tHZ)#JoguJn!@8x&S&2=3jtlK
zF8(uChK=;wOoy48Kul5J;HP;3IAT{-{MPLuR(~c->szofR7%dbDp>GCfmf#Aym%fK
zA#Z6XTV@26>^;|Ro#z4nZ6*tk`<`PF4iSbAmJA`Ek1C#C%>{M=C%?CCtHK!mR#riD
zL&zvw7IoRf0r!FvHRs#wum^{NQ9_ada2!867ed?$dCwaLmrs7hjN(($8vFGjd)@Mq
zh7}vMY+W(p=WD~%2K{CEjP=3B$$a)^J_{VFt&(LUbYVR?11{RP^uWwC_-Gf#3_KC^
zQ-^l<Vk;G25;!*JXms4((1wo*_Qy=+y~_K8nX*3KbINl&n3Jf72jthW=K=B}8WO`;
z^94gzqmQ~^Vz4f16}F0@pfm-s`(s!*yT~y+BVAyditLfsTEW)O%RahJ|BKzPXqdcS
zqyyo-A^Hg#%h;dBjoQEq(-?bwdh2f$9k|dnmg9YT3Hvbc>BCd6S*%S_OI$sd1~Sem
zaZYoK82wZGJ{y-gtl`M@V=nSE_&QSbsIhDjbJO?Zb@X1qZWR|R`rM}iS7KA$;PXYS
zEoCIdIeN37!MHnJoeFG*-ZM!(i`e<(>Z^y*3U<ndd)uE<ZD?41-RHqr!psj&1rLj_
zV|mHRN;?_az<gJ1BeQ)8+c9Ku*?T7w9J?088PrMvlrw*gczYR>RxF}DzRe8x+3VI%
z{YQa==(|H&(hAl&+|(|(l@+|XOR7z_P~eT5?-bk1RV+cb*Ev6q4K4^&Mo(I3LFysf
zZZg+8=9~Dp<Bs}PIC`w_^szWih^Pv?>YTiRS@dl_?>IYLF-l<&Tgec3j3%U=&jjib
zK9^sA=Y*F!O6TK=WMFz(eyjNoGh8`yJpW`bHz;&4A6Sgm0J>b&FjpxHoE7wcnJ3K)
zhk0n_%M&EvF<>Jk53#~2_N9iy=KLW2bLNY_I|+Q5FN_^A+5*D1U6MLC1z@aE^>kRL
zIv6<o*!TX$Ryb$i^_s#e1ihtmhu$4g2lTD=5ygfB)+c5Ce<le-+qwHu<Rv25Y=5bG
zlAjB%%pEeW0Z|yXLe5IrL`dg5Zsotu4bimSs<9&CU?Q|zZP#8RSnj$(^_S#@7TwXL
zasf%`nZJ^dDMkcJ=0TYO8b3JL@4VZjCk^>eT82Dk2yn5Izj^Jf0L-d|kT&9EVf5Yj
zh5dgB&?&e|-uYb+F3x{0kcg58(S;9nx26c-5c>7XH5*}A5PwwH)ujM0Rdja#kR(Fz
z(zk`6VG;1iq%OwqR)Rw!U+!SXh%m4eq<Hm#7%Ui8h;=k8!?r7@CSrdQA(ZAGz;jsw
zB%&Aw75=Kw?P%x5w3!pjncY+0uSmh0?yb)1$^=-9+0PTaiv;EONN)0vW#EEAOTy?7
z5#n#e2$K(Jz)4%TcYZT+5G-<#Mkyyjo|rZ5VKy03!xcp(G!@{1SfSv-L^6EQiK;$9
z(gI1xzCuQTA~^Yd>AUTz1(h+@*}E@M;AcyVP4Igqcqa2S)B6Sm^i+=wP}8;HlC5%W
zsH_T9(NAoM`)C74YkCf)jS77dh;u$n739B09B)#kg6M$%;V+mDv_4Pwv;VCIvU{FM
z*ws<N!ti9zukX5$zXhO7p9o^Ze#*$02Isj?WltsOfoo_Aefg3)^u5y6;f<hyi06k#
z(_RMfV90!CsFVbaW8ZX}qiIm#O}6Q<H-ejaR`HQF8o)9$le^QJ2DiR<Ip^&$ftIR=
z6A=%|;Plb2((4@+PCe}`uC~PBh);jb%6?7wtL~LsJEaY0w~$d+D!}oy$ppo>nqbP@
z@$F(e1*AI+p#F>*)Ycx#+A^#O4?3mJrLJm%#hd!9ZTfVGWwzgDQKJcY(RH`Z_L1N*
zv1h2|Cmn9af7^TAUK2i&Y8w5+2|&${3DI_Bz}Mg#%k7zD;3?0Uqs}XXl<mcnNsk%e
z=6EL0=(Yxw9WzV&c3c5wbKdU$-NJwj!TXb`9wZp|oLtbGlY-`#8DR%I7*JOuG~7H*
z1Z~%wcC0ZXP<%ybP@sYVs@0D_Q4bMda1Kswc=AD|*s*{6FEF5Hqf+T;fhx?5C<nxg
zZ-Kz<36)hf2CNM?=KuVo44k=_+4HV1Vr4=GD*bQi@N^$BUQJ2~Ca+vXdn@`e!YjMV
zlY8jE@lVV=(_R6F^EDnn4@S6*4Qnp6nn8S!YX6$H9QfPWA-91+yzX{^j=G~6)KBv(
ziTsiR`?i7;?O8K;b@b|@Xa~S@hd@$ei8u&8WS*7!wSd>&n|?@i29W4`rk`3V0)I%H
za#-vNzSrDO>O~a>v7Ah^-YbI8ooMbqI<kgmUf@lU`)msN?~mb<0sIi%tL|mGV*?Kw
zGa7p^XaekVD=v4<w!!-J8%9aj2EHRG@8dIe6ByS`Y0KHh0iv&O3J(6-z^z8*eRgOY
zgZ`n)?+Dl+>#M%qTHpr$_x8g@$`K=2{HgO&u7e3Q)r~G3ZCJ<Kn2T?4XB$F)m5WM4
z`U)m&w9)ixdJT`sd)0BI+W=}(t)h1l=P?~iVq+o48qO8uNq(zp0Lt&32F@Iq#vC+x
zq&VbO@z91kiK0M#xSWqsTO~%Z=;(bP0_ZC^{+c0M)u;!jf4v&o8`+1oOy<m+UR=f*
zXE2Eb6+O7R`#|zyY&)ja_;rU+`x2h<D@hPVZ3oZPOsUUu_1M?jh8MyPEaAV|$2j@M
zbfITgu!-{JtC(x|-o~@5i@1j24?W!jx-g%q|8|f4TU<VmMXTcTB3>h{!?W~W2X;lP
zy&JathBxbe7S!FW8>OF8B<ksajKq{>uH+BgEi@w^Hv6Q<Y|+gsqJagE4;w|L2Vd)S
zHtasQgikaaFej<gU`1-bCF_NL{50q7yQ4!(xb_Eww%3oS;JoB3W0gCIpH;qa-u&S*
zt}a#LO(9dkpXmcT<^Bk+UvN=;JYxk9lD@+dyqTMGuIwWXiQ~A;!zOE)>Qy|pU36O*
zrVWd)_8X|4{)@jv>>*y_>-g?BpH&S$Q{aS9;+#2g8drQ|yzuPN2L6dKwDYb91?r>s
z>RH~M!B0|+O|@P#q41%7EAA6oa5XFBm4f0wT=>H4lDsNrr1WpYqgh@Hw$mG;N=oK%
zb(ZCq<2@|suxr}&f<u}xdnx|a>w^op{d<0<brm*bF2{CjX>+f(3?(^_iZ9{OtoMiH
zu5UqBoKv?Zhcw{fae>68xn(>m<CyY@EIS&OG9ADTG+=A^BwjqXifgx&Nt<_YAOSY}
zg7O<ADEgql$s)6X<7rr$e>E3k!$c(w=hdM<^_xv(ITNz~1BqO%+fYowM{C?u9ojB?
z-H2LYM$hYPJDKG9P=dT}es3EQN>$b)U7T5wR(K!Bmv8*&+)}Nhn*$MuG9RZ`+u6{&
zs)vghRS?<#7Eh4wCBVTmuj}K2w<5VVj~5LkLP(XL<AY8J0l3&W((H{n(Ad9o?i)@b
z=n}hW$dWVxV*CiH-9!LYK&rnkG$^^JGg(;-rQJMnhv}Odl>J%qY-emk-+Vs0=}SnU
zAg|>y%``QD(&%5}iM%Le2Y10e11TiTY{XgPs|FtDzFpfB&5soQGW%U)Wzg-U6D!AD
z)u3Z-te~n_0R8qdc;3M(kFH+VvotuW20=IPOL!a-Ldyy{KVP{hpebvba%Y?x<Q!C*
zr_Ko@^}N7#moJJaXlbJE(ib)8EL5r&cp-`enXij?98yO88+L2VMg-8@>sp$fB#uIC
z9Tel3RZ(<^P1nb71bCQ|T_<%@67A$|y4F{%hVmz^co%LF;eE;84r^Q*(R-_}D<%`s
zQ0Y8FIa3`<@$!EJJ~?FQ$ozrnED3cyqAec%L4sbjRZ{m`dG!7$8`0jAjP9^HUEFXZ
zgP(#^iW`q23THE`D6`W-r&9Nw;h<`Py31dRqK^_<@=$-CkwroGWEcMi6jGo+ttvt9
zi!us&^6X;xWo^`cn{Ul}d~+_$T~VZ|D(dGN-BRsHMKjiS@_!$s!Igq`iR9;MD7jIt
ztcaI}7J8IKe*V(|lb9KuI9Ve4M)NzJmrX-8SIKKxueXET@pn415$b5iAFb2pmuToy
z5s=IC^x^D#`%5KFB=kwTM!`c&2TiBEd>Z}K5FB`<O7rG55J%P;X=H+i7E^c|R%?yH
zV=XwNc8-i*D2<)l8AL<3Z5qTzf184z`OG=iYEAU5@Y2zQr&RP=Q>XvOS%40fmL<$W
z3yp8TVIOu=8}*uD;?_Q!IqMQDNWQFvgh{TP#<~==%_+)K%8U*ZMHP$k0a{2gt6;2O
zn~dJJDpuJp&_Vr!tyBe{7P8wu<vWy1MC8O?weBknkgz89Yq@G7cIv~|jy)=<jXoLZ
zJjj4+QMTgt?qp<@&r#qhtcWCJ)s7LR%%M2YTtZP+1C@mpwtLk|qs44dS9cY27+37^
z<$s`#`hIS3XSRr-eO{B<bWU?POsc@iYXroZCm6=b#fN^({#Z%>$beFfy=BzxYG_~D
z$XNX_D^fe@l=VB10rUs|t>+(7LC)267tX%@hmXA=Dm>t3Ky`{`u+}*xl))zX+&Hlr
zcQ!=$%ndrcz4PlP|1AY{>DQ=laKmqGo8SIVY@5z4WOK@GijhM)<&OW=Y?;9-d`zXq
zlgvQoezGGUvoy*HjeHRGbP410mUcP0>Dl2eJ82pP;>b9U-W+eSfqgmby6<2tK--f1
z7riSYNPuVYvR5iIIDc%42;cw^Zm{|ic}ozz@%MNj*Tw=5w0N`JBru3RJ*&Xg!iO&P
zoQsxAWQ8mdNlzt`DflQ}wJaIqLbA5Te0P4aLi}z!;Ur5F*r%Omhi&c?8EObiYY!`k
zY&3->|7Q%;K~}3Oe-`xp$NfuY&sd?&^D@_$TShQ1=|1oBXbm445bPCoVTD>MedWVf
zLwG0qw?JBZ0l#lw{Ge{01(ef9w$JhzLcr}@ric^Mc>DAHEmsp*fbUg!euaYp^qepk
zOo<!DRW!kIUWo;E)8_eaJkW>u!B~O*%5FT*oG^8$o*5nyO1CgC=|K=vX?<AJN8CO{
z)@RRoW?;;eNZi=32N99Ip9?d6u%(W*Bg+hCXre9tH&n766ujsHwlR&EVf=WYpE5J-
z$@W)zEU_KBy}xPP<otn+FQ+F?$}+<No5{neS9HN*yS#65XD?RYu}+cIWrpd-*IWPF
zoX65P_k*mf2Qgaa$PYswW*Fm%^IY@M0b7OFcd3jq>@}O>hDil8JdK$VSMH+$eyD-J
zF6=MX=4kMDjlcr_3Q;uVPJ?ANa_0EkX{_bQT=|Z27I53f?)kcx3OVoAwEADnV#LNA
znSaMvVa}O9g2jgl8BZq<?M|P=<jy@mwW!YqN?ioc>oeNWw8yda_PGVDy1H=NS&c2w
zn(SBS7O4#)v(KHrxG!N3w+`yPVQht>rRF<<!rE|xSWG@|w}L6r1`^yO*kO$I@r9lz
z6wp6cvoNxE4cpJ;khlF02jphluqxd_0hea)s~RUZumJIEQttj-F#KYlx9nFfsLP?)
zq<>)oj_kl$hWa*mV3zltCaDF}ss^E6E6mVa-Vl37fEP;ILKOskHNi5?j(FUN6`F!N
zju?sXLt}V?s_92ESl90*rKhmLD~Zrjeq#Z+SLA=mMVAakZ{Ar=ux^F!8K0jr;ew#P
zQ!0P^V+}ADpxwHV!VXo=Nj&>{gy1QQLp~yDz>u@onUiLmFtotx^vY8NBHa@w<=&9s
z#q)Q0t3uo$O%x@b*dhi;3HQ5-50aqfk=fNK9v*l$ym98*CvmVOPgqEBlE7!CEjUn{
z4}SIhax<)ygnatJR+A=mV7jt=Fz+otY)zZBJ<%);62YPp9{1G2gYopfIjbPdf0*q5
zAuI<a;)zqT$?6~-+x_H#yATxblFOb(@-Xy(srAxk?vPwA`9`%1!^eSFpYwSX;c@*L
z68k%K==tLr?|DiTZtm}Ni#@FbN6seu<Z_dMv7fxiP!xwt&$XJ^MwFrOnf1<^^CVFC
zgg)pmNPu&C^_MS!s!%-bUF#yI0fHtQD_!GK@ZF3wQYcJ-m6E@awf!29`QGh{E~_k@
zy;I^ueMbcJy?4BDkPP@>87D3+56{|L)1%LkfTANVGoqpe*Rv>J7AzIud1;1%v<?}{
zdf4PM_fz0<?$>TSOcCBI^AG|?G$C}<OLb6B8)AhVOFq3-g5#;FA_1HKCaFGrXwi%c
z6VAMKQ`=PF#bphVCT?xeBuA(!o}s~OHHAYnhg9Ljw=D;Dyw(P5@yws$O*-%h1n{s&
zYGBxVa4dEw6(WbZ`%|p9L%7Wmy3Ah!RK3*OcvwP(kjGysEhBocVce-`s-g~rgX3it
z<5buXDvWf_H-OUw-=L!m5}c#I@rs_H0x|p9yS$)HZ+6`Y3jqxXDVzxPdPW7MoavB<
zo8D{>CrfDwk>L`J?4zJbg|}g+aA{=>mUCoX^NPu^s?2e%b<@lDxEA-^3jpv;@X%xt
z(*&W>V-DvIZ~8jI*LmK|3|_X0ODh;^0&`mSF*S2dC^>Hx)U{{^V$L3S3F4YCy7RHi
zS1%Gcoo4hKCDY*u%jf#JXJpU{4XLoC6QDp%rv1TI21qqN{kW5r3>>(hC4EI18r@QV
z7dtSZ&3&!tm8b?7{t#egdZw`H=>8~;NCuqdH7vuX)uFl31+D#)2B#)@!mk(xFr}C>
zHD(dP;)BSqsBuw9IJj1$<I4cq*6v>c@&q`+H0Sj7xBze&Z&`h>&j3F85cRe=Rd^Rs
zF@2ni6B=Helr0*kgTfgg`}8RTzuSGDqc@pAs6&RCaGeejeA|P^X-Z(hJ%1!{at6C!
z{;)_;g$^NB?UjNt3eaV3Xu!_*3yaKKvMet)1K;l>Hv{YBz(q|@;fE!{C*vgh9vPWI
z@9jGVuWm~NHAn3Cfq*{z{6ube`8$Azg3b0knG(?UR@j4sG=Wcw7;R(T2_T<%m}jF#
z6t*?=o}BQW!QCq*9oX|RaCNRsLkhxhHE9PQ=j=cH`h?1(@G4V~OcG;{D;5BLWT2mL
zZXQo%oA=4>Gy#Qf37Pi4ys*!p_Rs)z0cY`C8RlU&fu|;KKRfqvfph@7UGttzHypVl
zwMI6EXMcOk2?p$&&OUx3Vrd>Pp0*40IBW!yF_Whq|FS~TZLhOj`{wb_-FGjoZF<vz
zPxHmv`sSWwOoi$N&f#C5OPELY7{IX>4YKO{Rcu}F&3!nx>6imf53dmofPQJU`Mmrh
zw#J^Ce8+DV=g$f``7T5sR*UV{<v9LfH>l3hO-E;N+6!{tyH9%X^K(S^@sm^7$c0l4
z|Bg=MCtn)Y>k;(e7L&ubJrSdr^L&v<M(`A#9px<69J3vyjk^@?O#H!$UCISy;4d!G
z9mZ@st_!|vPui)RJ=iX<_bcnQ6Szd{-Nxga-VA+4-02qDj<Nmw;E)(Kj@vPshbG_Y
zz{cUlxT@AKm~PSldvfF$ey#fuxll(3Wch;PRl?q3e>R$CyxxrBwCwHkfsbjBwh>Y|
z_2e-Y^NW?kpEio`V6k^pQKrFN`M6zEEIIhGq8H+kBP00i^+})fTq;l{j;|WMe2vTc
zY<%SVHG+>9o_$=XNQK?*TQ#}oYVo|1t+kOnqd4zuPo&jDZ7?63A7ShIgue}GNVN|g
z#rMftwc2TEgBbH3-`cG2xclegd4|#$ZtUz)`Sdjfg!a^>_KCFNiUbNA;~2-I)&h1|
zTT>wI$L)_bCx75l7brii)F<$0$M|B|GA(G4*5vbj)`cg?gUM3dB>rRpSL*z&3G3b^
z9i?Nx@e$*0=j*~#xN!s|=ksa8M`ay4mfnj;7y3ppZ<)rAi18ASSdgLX?$;eFX8pMK
zN0H_)Vl#Nc=Zc#72o2CGGY{xp`GdE+uKj7ToyDKxh1$E`ksxH;;bmsyApWOhh;vWj
zKYUqLFx_@Dr*5AT$*3wB#s&9k-x#FM<AFxDtFs5x!762__D|&~-YI$`x^!Rxf6rt0
zk5)j0tZ$rOYsSX$5Zl%{>xL!V2)llUhlvQ>kYjIV`4>NE<tkX-y@KB=(d~$KC4e!Z
z@;8i3;Xh^na^E7a<80Bt$<L4)gcrUVy|ilvcjdm_z0H*gJ&C+to<mfF2E!If*H5#!
zfb-{VEVaxCyUN;nF+&wzf7v`d1LknM`4HKGy_<J+a~yV&M-`a74YZlD1$=DBn;9$i
zEhxaLueC2$1$^3x+$wrY_+?Q7ll;h5biOHfoSj<*KEZX)$L=e*F!1!hUEx443uf)z
zQk6mCbogp<)f$eb*&U`B+=$p4s1vB744u<Di~o_BkV3hfKxZ8f$~z$3wqC6SB0ag{
z85zt-G&ymc-+~|c(AIO>J(WP=bbs|zA}g|G;_DyzAb_5f#<}zIDM78{!kBp<8{(CT
z(bo+WLhB*sa+CFnK$t2>hPtgt{2cYZ`%V#LTCP>enWzZYvi4Pc`N4tG1}YA$?iNEb
zzU2R`k0`>Vg9mm}fg3p~y3fCikU;MK-}f(DD*}bTQnoFZ2i5&2xJ7?N3i+P9W7A`<
z2!R>@me?r#$l>E<8gINTA~YoBT01I2)H&jXjOPN#|GeogqY`<9E?WGj9Hj_*700B_
z4+x<El@GzmponaL9jy~?Rs_BZc7;3gB8bS@bzo*f2~BBP*~MEb!Dxz6ucU|=8gVLc
z$$6uK_OxYYd>>GPlmYoWBRUeOJ}yXMyg&`fiMO^Wmn*~QneeN%ky2=pC4b9c2@y%&
zRym(rs{-cEffePeGKfh`Ok|{kgihz(*k>xH2CDv!yN343BLnT@EJ}i!Xe2IO`DPgb
z>Q5Xv__Im@ojg$DafL)d`&oVe#6DFAn{7j1ADAd1L#8_?{@7?EJgM_S$rdssy`*|3
zZaTVwFir6Gp`t-0@{`1REilpT`WE1)ikkFw_h|dmkgrEB$HNQSa7W7PQ@9ubxpyi=
zxVz{et<n;nm$o!;ap}%p$BF1@sq?y#v@ROfF=qrh>4Ib#BUaCygn0C(9e?HOB2Sm~
zn3hyMh_AA_7(Swb+)@u(YIN(On^NAV9hMDXJ}oRZa<3*Dcr!Wd{9YG%2uaI73^j&d
zYFVw{Vztn8P~o={OI@TNz_RxV3kK8=_uP*G1&OJ-pSW^Z2U*wf#uQco9O~^p-*=OO
z>RvR6)QHiLi(tpQ(t*u8VJ_~pG)_TFL2o)a{It=Xk94*_oB3N@BQ_>jPC>I&zVg;7
zO;ppAlcL?g0JlQbqO~vz61Y@n;+m?CEL>yQPWYL_nW}$vDZ&&KB(msUy{dvzb?){m
zcAJCR51Sa4MNRaS&9@-iT>%aD1@(yvTYyRM+a>crG74>~5fAT@K(Z2jBAuJ{tx8Qd
z`ie-Xd*<!kXSo8%SZ2k7bI2SD<Kvs&mJ-qE5hHz@>ue}AFveBthB=ru+~4hyu7*PI
z`+naz^B2FCmf>iuXbwzVDCwTJ3gYKhlRnSfhK;qX=UHYm;9rq()EGqx{SN>D|Njh^
zXCT#I7{_t#z4sp1xGwIs=XowAJ4q6SB!5&QyA)a!AyJZytcWB#aepEu8A%k0?25=t
z*5BLn;+*e`^E{u=R~7Ei+^SebKYAU`aj~0$Z-P&9ES(I-ey6-QQjiWhNALfj4>5(R
zTN78`zmvcMWEpXEWF|OY(0-3^m;(G}u?kABM6g!_K?|3DvO<B&q+HWJ3b>|cA8uI@
zz}y7H)b~emfFAv)-v?>|IO<2*Y)|uI=F2i-;{-0a|F~%lPXv(cEep4D;Ka<o$E?)w
za>J8*`O}RD5zsU3KfQE>8DnXm9$2>F28n;E(fY0?(6}Jl)jdmx6{U?A(KvHM!#=5e
z&j4dsJRTXx!n#R4T70AWl^HikdxkY!NHKyj!>!lC+Dp`}50x$a65IeAo-fleL+~$?
zB=#juQR$qt2abN_0_)+Rv)H-;<jl{Kx@vo<i7J2P<t}l-!@Ym+(i$6pv!K`1#eim%
z|5W42x83|XH!w=n4Sk@D@>IOIHi9%vu2tdYIiZVxl_u<)9#|wdx8dl1qRl?x50zb<
zz`e;PZf2+lIG2F$y*Yo-(8(PgN)IP&l>D)G$<_taUbWD%k1Hr{$ipIYjT4Sd9yhRK
z)rDA*^oLBP>!{dC{Y}|EE^y2$7i+(u1N+h&8NTapA>njchn!bjK(x|Jj9=0QUP7dq
zpE(WWjdgc&XmbN?L)KBhKy65Ir#Y7Jg%%_Oel*u-b3^yqY>mx|7Kp#bcZ?my0fV7#
z*pv(p)SCY8Q;E`oweyNS!Tt1bSASqm{3Q>poIT9R!KDS>eu@J<){IcW{di}}pBIh{
zsrs-LXo8V>|A6o-CWwv~_v$y`gXnqZ6kCcWB;Jxv=QLq~h)9msIB9-R<B_vtn;^rZ
z^~JqXt*o#fu~(p2S^(-2gtTwnB17o;Gizs@+2I&*(CN3KAUHb64iHVqF#jU8^y@YU
zT-kfKSSUycYEr@!TvthuF@H9QuYn8L>0=*Fwh05;>X%5bA;EA(agpg;ZWvdvyU(pB
z3LzZ^g_oj8AmMNT={NI$_}Q1~hHu26G%NK=^8pgfRvLU>YUhR3^7^RpU<oLEW@V?Q
zwtJ6=`oPz5K1ehjd~ZpSg11BRM&$w|IKA^R%!FG2f@sGn#Jkd<`=uhzhGjR;-wP&2
z_JW}JiD7?Rh74?8@gWmgNpM-n25Zk30=g(Wi*IGJpwaf^$z2f=h)zHA&*Bt;vWK(>
zqr2pwHZu?ROOFKY-)u$jiK4(1#qrp1LmmPQp3dg`lHm4!>tAQ&#NpD+A7N%P9#%Xf
zrtQl}@HHy9gQH6V)MJmmRtivr?j(NdWd<@Fk1_(zTT<Y1O*4%1xf0Atl$~n}B11=r
z*yEGs(s09i;g{i(G7O2Al*g}=!L93Jv0si1sEn}NtE&+pDLPY$EnO2X_toXk+>?b2
zb2F<$M^zy>V<kwzUJK;I8xqUz$iZTT83S7=5k6*nzA}{629cTQ>#ND~z~rzVP<>7f
zP8sx6<2ZHT{VaoyPl5vEea@Czwor%a&Hg{myt*JX)Z@r`84rUmw9(3MbwEXTZ*vp%
zV5?GS(d&#N<X^fl8A{XudGx@c&qW`|Zk|m3mP+8=xpsPxq5&*v%MaP_89<nRp!O$j
zW$>&^4{g-Yfbdo+mG47_ur~1Xh-{NGoWwOvCGOrYzrssAENcwRxbE?FYZdq|ldLSJ
zqz)q;(+RgdP2eYubJ~B^Dsb+Jx+cb{28FJS0-C7^7&*4M)mByD!kHsK7YbD&L@hMH
z|1iK^?}%JJHUd=G567?nRe|?sCt}<_0c?3aD3x1Of#=+3r}KAn?Px8TCISUcwAnuV
zTA~668sD#9-o!&<%FNK|yA;T_dcSC<qXN*GoG|fT9xU}4dfYxyVBY_!-SAyy2zgu}
zTb3dVtUK(1J)0EB%o)<V)}sW&*?vB9Zqk6$b9GkZFa<@Ab#AR0MZo4qpLSjl2T}NZ
zvyI6V7Wg7!o{i(deujh1K2jLk*OG(Ne^cPjV2qJLy8^hIo-+3C;fL-%!%t$Z6j+^S
zsn*Vx2fs@m!5LS1U|8R^i!q)8F)O+9qo?G+j%ifW3voc-n_GP%<`hUOw%g*?mWA}U
zKWH&?W>|a3yu7joaG#DC%tj*vPfNF?eMRXZoc4nA&Le;&9&SSOBPp=#a2ByFr-7#{
zx2LTw0pe;-YBnE{07A3X5y{yNM6w)9(EEZQp5eX*nIHxm<sF98^=s&3B;)IPaRhl$
z&wXEri9oI0UaiBAmeCg7+hJ#S6EI`+E-qFRf)7Kl_i;rpA_rST?v6*sVB$mek@gmV
z2%MzYW%WPkX~w$E!5Jfvw=Fa?Y~h0^o+9pa$qOh?@4U!o4I`-L8gxMByzq)zq~?Bg
z0i8-*sa=aS1YGCuk=Ebbux9BXp}e$!>=ZjIMLG?Drg-{&V;C2hw~9#Bwf#Xm99mHq
zWei}s)wm<lnFD4z>f#ya77<IfxQ6+8eQ4JZ(0&xj1}lDXR)L3?(dK$+-jxA8I2T-^
zT06=D{=+pEzW-KG<P$+(eSJMJEy{T-5yK3(vkGXWI@i!&_3rN{b~#dbJ3vp%g$ah0
zF*&vNb;Rv#v%JBg3r=?Bc>z9*P*wcZ-S+1OD&NkjSP$0$4aR%5p^q8hKx)}zdbMqo
zu<WblG^-6wcenc#g&05~s;Hpak_I&52y5(K+HlcIuJvgJJp>8|$cEjbg_yOR58|U*
zFuiYy8XH0n@$*|JxW?%q_j6TqoQKx#91`wa^Pq?59U0VWO%JVns}GzfHKFmw2cNzG
zdWh^Q_S@Ia03&xV*4_8l1Pi{Gpa134!=$SndVGut_R>k0x^I%<^r_!DUpDAr1bzuw
zu(5!5zM|;sL^7<nwVW&oW`Irh((ax<R`_Dz{&-e_48I!hHg0h;f|oW+pK2pJ6i(zy
z(7hr-Tvbe6-8)7o8XeP(e!~gtzg3<ao*==PO))L+V<w=CF$>(jzzzO&D1B&mpJ%g6
z7bF%j!^wsqo{l0OFp1dLLaNb#NcXjK+wCmS8NG!w{mBcT2{nrkeKg=1yXj;YHycdu
ziPs+3!w*|IoD3;48nFH1v&+Fqc5o`Vw{)&v0DSxlRFqrP;f5jW2?Z`rSoI<qY+4F|
zf4y{Ttb;n_SO3>k`;H4H-L^|@{|dvopp=D*MKzds$h1HDGdE~(nF=bli9$mYhl*2y
z8Z6xiX=5AX0o)(LRncm3C<@(g?R|Q8Zz)w5^5OX4q4k07pf*X6N{Ek=v{Hjb6#b*j
zh#%gKe>`&Q;_lvHD=KEAsKMUK%Vm>E0+5wHsb5_z1IqC64!5Hk)covkDcuqT=My7}
zm#1Z+Q&!`T&vi9`h?2ba>%t(NZCq=mBM<*wKQZ=rNDbZwxhXUgL?K^``%QbQ0-Wc{
z+f#d39n>AY0~=<=;O}@_?HY|DR1yRqV%zFq5aCmCqFn+me?IRx5~c)$!`)j+ej32Z
z*W>gGlL8A@Y4Ly+Wf)Jl^nN(60d0p>rEbhf1KZc(G5cTw$o$5W3X@5|P{a4>?S>5a
zOhulnol}Kl8#Llc`^m6a(sxBkSPpm#xj$MTQG;$32cJ(wO^6j&@}M=82XXJGOwwiQ
za3-)V^pL6+=$#h~obgbAd*|kZ#{D&*->>&CleISZ<rpSrU&BL{pznayZVsJzC9nE8
z9r!jI7SElp2sd4ZBRO_`qL3v_=hc`l;GS>s9IjCU)tly0zPCug(dF@`-BBN`>L1=7
zu2u%xN^(6*772d-4bsl}Yyieycr5vW3S@L%Y`lMw1d3L^p2pt0dr7m8mEb{uHl=Z4
zHzg8yhu?1evt$f>rzRBcZW6!?s|<LTsR0X(bZ>e>5j+q5)OXZR6`D(~ocdX-4#eCb
z(~>}d;G(%M*?d(PHS;}I@R101mo9%46r#XCrYL)XU7k7Q^2hDVAV5&kQ`OW$3OF;4
z-QDZ2y31u7imaqE*rh-jowzA56|?M&?7pkI8TMf%7!QYk_}xwkHig#*dxmu!2@o#4
z9-&+#2l^ZLpD#Z(g{=!mi?YI1;I;vK+2~(sSSDWi&%MJG^e$veNCzmx?*QVTGx_3R
zWA60NXZQS0B)vVGsS@xzldn^Ygh2SkhhJEQDS&d#aKtJeI4@%OOhG>IWv0mV$C&Q+
z0#aIcngY1oyz{Y)ffL?sZ0JTHQ`m5yi7{7_hu=14QR=@K;c##6Z0s)YV)aXklB#84
zRPu4n;wTNoN8FSuNufYMVZHvXJu)!i7;a$rat*yBbqLC<Q@~WEo6D|73K9fpr>*wP
zqxdC@pvE?UaaBUnnN4vJ-%{M5+#Ex?kx4h}T>)zD2hwt%*rl$4UprIF2Q=!_FIhi=
zAT>zeu5(@pxcTzLs=k#W*`bTIf0z+$@XgYkE!>^EHum~?+gd7SWBY_g+XQ}J_9Lp^
z-~$86;7%jAH`EPlnoi<LW4NlkS@<KJ2kg@bU%0qCsY_2uTl+GMU@b6FeyM~DBKDgc
z(^%@HD)Nf#wDcLmr0w8F*#&lxkSz7o;O(Glkjc{h{Dxq{qR&>F!vb!~-C`Ryuc>`~
z?3veH41nNpmhY<o6I6Q2*MF#eK_y1as5TeqgPGB%Xvf`NFwr5KWBxFUYQv-#>9MK@
z8wsV&bi;HI*=e1Rb9sWwmlX_jZ1h0rBG1fYd0OCGKYlC9;uWG{p?$zzwCj8He>UXo
zcaYM&{1HFYg-$Ho7;9wI1?H2#B~P?&q6M*Ek7oCNLK$AZah#`gAc6VtU`XaaWa+dw
z!ajBg?GM6x^?%fchzq~uPjvr9rB;XXFU^gjwYp}lInaid1;6EK$2HUzEfw-wastKM
zt~IMY*MjJwTO3yvR*_ie_2)R}X>@+aqvgD!7TAAWS&1@OK}!8k`jZ~~M1R7zpH$^&
z!k<UPy184+XkN1Ujo#cGifxSaZ;{Z1xck4x3q+UEuWKnWG{p;uNN>OIb`}|ESsPX;
zUzbp*io@sS{}$1M?5b2YIWp9ri4zg%UPAB3X&WYWmXUY<sb<+HyWA-@W|Lo7Lf8Gx
zZ#)!PMXl#~_rBBF^?6#0a&hBjR9`x~ZOH!@-Kv;x`1@J|7~U^@v8`H0<<$}|NrZpM
ziM2-PvGXop=t<exjw>iw=F}l{ViVye8b3W5RtM{(gQpWDR#8qMwm+<S8=d^@lgq@T
z4zG{h5EkQFLyKoxOmYioKoV8_IBTs2vlb1^gUWvq-{JF8nm9UGQKyOANFc)9qzA!6
z{_Ch@{<zTfNF1D=-An2GqzbO7XS<${{6mda^`4Xb3?PW<B0;<=>|^&g3%az40!OV3
z2f7)dd2tgbe2D<FO*<y#w%bVcpNN}G1vAW)H{MeGrUIU+?*ADn(SVBlkXGkQRv5BP
zdG*X(1;)=Gb|vkl1)*M5qg?}mH;ZSJ4eFFZy#DPv7DWg7a(CoDd2vCFa8>syO=bA7
zcBfc(5C`lHayw28Jdik=$iP#t1V@h!JINnrfTAx$ee<Eb5F2f!AZMinkqo_eoYxuQ
z$n%%@pDg^q)tq#;ds-1n^3}ggw=jeC*>|P_%>vMANlJ*mqX-?td|nDKSOG#!G!A47
zLBFBc@{FA#{Is=X&KY5c9MQ5f(M2L)m2j?-Q(O^@q`f4?^tfREv{87_S1~BZMFl%=
z;i3DUNMrLjH$>W?{qI2%<Z-rH4_5H-fUh-n-hvmNiR4b4IwcK$vo^v6W<|(afB8P6
zlMjjl=7fnoGBC>KK0m3a2*P)oCF_C&fOREK6~A8&<R7W#>`71rMn9!-L1Q5>KCi-V
zHX{#Ha(fj{Fe$+`o_4oA1Q96Bm!%eG;KA^l90$WQB~VkkYT%8;K*W*BBEm}vSOh%V
zlM<A{TW*7u?YsoMr^nroG*yAxrbxNfJQc|7zn(ikC<O~4KBK+rs_<OpzIWml0Xz=m
zqoW!!@F+TMAXz~T7CvRBbmS1h!xBHc|Ees6e4~{oacIDfeWLM)RCTb+^C5Cf%K<AR
z)0h}73Fz`q;^%g`nw1vt#_*5=2*_n<u}qV|o|IjzV@3vvQ#}G^@9?nkh4&L(4H@db
z60_7_Yr+xdtt;}N1oRrLbZsXz;XzR7#eraL2xMIv_byk4#uMuM@Vnl5=)t$w#df+N
zzbA`Uf{Oq<<k9#lH7z)A7x|9QMjwPIy+?TusY17Vb$gk%7APtw4+xzwg!}&v8Y=Gg
z+ZhWn8T=nj;CRYFrCc|LZ+!Ppj(V%XG}oB>0ar~Z^6~5EEI@ENN-`BMt_~Paa!2(!
zGAyWgZu<8F*tM^|z$d6f=F5YZm<>r#Zq_J5dQAay=Yd1|<?7&?^xAjkygKmZC0W*`
znZnYiy?o`->L7f#IN6k274lzZT?qg)u(jYf_SjJask6+o8%LDD@<yjQKV}AwQD?r6
z6V<><%bH~(N*;QKrhcpP?tum^*)C6BA~*_5304+ML%<#zC!+2iFw6^j%TYss!Dqgh
z@2UtKPtX#;llMTQ=UFW~c@@a{C9v5i%Lk#Sl(kft_W+07*R_wnO5h*62~9Xwxc-h~
z?FQ8hB7;>s^6ubwbI65UE!#$l7X4q?+|A&u=C4a;Pvs%phmBd!@CP#Ao0nuZX9_ei
zrM-f$WkI^@4rOJinVQkBG9?^f3TFnIrkB1;!;6(u*e}&ts`gai>C3Ye_)yjx_eDe!
zzBRWyWSOl|@y1T4&v;Y7X6d@~&2&)^m0Va*lG>*BWX1-*83nMAZ+pzU>(e6_YBOoC
z(qij^NokqK0LFaSKLwHaVM!pix<M6(-C`}|k9vvV=3vh%;~^fX%5c<pph=H8S3S#{
zYBPb2)<TmhUk<o6=kzbHksb^GsiG-2WDMJNMpVdUhI>{&{+0fu$F}F+A9Y$c0-di5
zGNv~4&}l2{ci|H~R!q^qY9?a@Tmc7W#ZJ<I-D0h$Tq-@5Q*`oCsDmM}|NS9pzuVK8
z+Fz{4>(OIIF;;9I2?k(NXja#AZ3&4LK2W3ifWvNx1lj)Ar4P(?c)@4GzmSIk*YzeJ
z9F}=z*>p`vAB2CHPK8f>N8JO*b)uMY7|V<};hK*g9Ot$F%*@=2p2Z&eK3hYF6}H#f
zrBZd_YIl{Dpi?gL_;<*kGlC9d?mFO7E3OOKE@XiWzPD88775u$4s=*LVZbIiN(XF+
znUbs@K2zN@1%LRN(_u+n#QWXT+7MtT@C=d0s0umuq(CP+?9!3sY4Ra$c+8cgH5NWi
zZ3xNj)4NKCjq&p~U3sGg4V4U*dk@c2n~l7Z=X&U{l(hFocTKc_Bg%D%6u3bBVtzg#
z))<HBf6rjDc%cc;xgxoY?=4a}MeG7+-r+D6x4(W-2AZ(NIrvMkXqmdf@Gf*Yf*uP@
zU1(OJlA$78QTAx@Ds`lwEGgfb0h_gcE(sQ7xa6B<$6EN8YIS+jNsz*b_0jCpZu~@o
zy247!d-?yUj|vy1(_NV`)jY4*qW?&cvVhyqT)IguO#gTBc_uT){kf@!eS5dxrFvgy
zZrP@?{Zx!pXJo~;UCpX+_cg$2|3~YcFdB@rLg2Sl1{=nqz))JMrvVwRD>2ELv{+Hh
z$j~<z4vc?A_LBDtb;$AhcXdxM9Tw80DaB{ag)Kx^;j%f@!Ppmm%ZSrs!ETo>57cmD
z_x4+LC7n_Oi%_Xmjf)JJ<%Cx6>KG3u%8T_(^$~&a{L*I3Uq*~E{9tt<fe*9kG#3fC
zBEp*w@h#-r%ox|U!|j$7e(WaK%@VUtRiHgj5<6$bib;@45Qqw5G$=+T(oGfO9J&i*
z6xlIG&A34ERw3-&ftP-XI|LYW8n><{aANp4qSxUR5$plG&MW2T1Sn<69nvLoW3EnI
z)5F)rFjd^Bgk?AZ0y0iz-*V-_F1m0<pUacLVwaPXjduHhOy!JN(j#8Xq43b2#2-=^
zGyN&rN(%yXR=??;!0}_QOutTw6J;<*Ig?{8&IAyC7#AiTBY-KEJHGmPUKYdahq*7u
z5<m|B>qe=V5XSe|>Cob^9Cjr(=^<s10NE$`2Wt9+F|L=q8m@;Fu(hi6bumX(&`G?w
z&0i*p86Zkz><Av?OuDk=`A-!}1~lYk3&gQh{t1U~5lWcrVZZ5vy+n{5O_WZ1DTy_E
zAFxZ7R>9h@-3##ht_FI7d{K%K(imy@nWJ+T0kgDBbG;|10SCU|nRp(_V46=j6^$c_
znA7Kzl_A3#;M*Mez;ZwqoBC_N;v%DtIkd)h=e;2T{grpRHiGh)`ao&D`w<O{Nw&Fj
zw4V%ajr6Uht_qk~YNBE#4+(SH*ssjMt_2^BBHXtg;jw%8mBX6PN!ZtvW1V^4+Hj|=
zDYtP-5j&9gu&jbi#`b#`uoq0|Kp5MRjU&>^*q~&ZP2o*4mVT#wVJb!sJhwfjC>APM
zpUZl7V+9!_SX#L*=^DV$OCqzF69H>ET`ZfFL&l0vDqD?i8A73%G(~`-ioH0!EgNuv
zjOlTaOwYbG2Ip&41@1INEaZ4cpJg)%dw9a|aO6z{do6T}>*9&ne+td|_6r)=gX7h5
z-!lMo-=Eau_)5fh#%3>1wW?#Ulsc7`k5M4V=h$QZSt7>ue)8Z46C%dY>7F&rWD3ql
zVubqYh#2>T#Y}{k3dX{&nMS%}3hi&STb3zAtR$jId)!_T)2#|=)z~zJiYJ#szui#9
z&P<efCCkWT5>GaU_$g*U>#dWQoJPQof7D(2vLuadp1&6+;b{gftJOv5v<jB<Cct2_
zRSaV#8icwXHv{RSi_WhFm9d@o8J|}f1+f?A@05<2nn8#_Y4duPA~t^^p0}xs8%u0>
z^W!#)88i%iS7PPDW0Pu<IjhH+vHKU=11B3yq3foH#P<Ms>>?rTwyHl3roY#1zp<Ms
z@CAsTD(#fTXfD?~TV7eBMr+m;$gNO7!7u6G_1%9TXLR@*zt(r^1if!m;?-RrAjetX
zQj@}H#sy;km7GI@M_bEVxhU{J(KG6!v^aKPxN_ExWe5o_vYc?a4-o!^=w)aif*Cs6
z{tF74MnbdRoF;Mrr{ha|pGFH}SNYV#&tLeB6hzt69v(yBF6x#rx5kHA{}sd4CH+AW
zn&zvs5hlR<aAx{jE)PaX=1epHwTR@-HRZ-;8pFpk4mUftII;J$6B#nQT%x<mbQ#xX
z1V>jjzaAH7!`^Zu>E@eDsAErI+TB${NLv@b&78@Et@H;(T$f!!wkL2Gb<_;u=|slj
zpD=nXH?s7o{^>>Z=STGAXQvII4zqarUkNQ{@mqMiBIXYou(XtFsL+RUd-sc$F5A@m
zezDnUVGAhgaXg7`OAp`=TcF|6IyGdw-9_o;Z={~b%dc*y2d9&y-=5=Lr6$V?B<Wq5
zMQP5O1#|hj5HJxGxmL1By|iOhvg7m<>E!B4%+u(?*C*E&(mdv=Wx^Sg?0aX>yJw;&
ze;wBW_sVfKCE`!2q_3j#pwkq>(HsfNeWMM+T^(n_3MQ!+!+fU;Qzp=Hdo}I>k~Tcb
zIy1Lk^_^OfdlOIE97AD&;d`BPv_PP@H@^J#S85lZ0-b%@cT_?YeZ0!61?z5C2_Lij
zsnT9YNkML-DE_i$dfW|75T~Aa>KyWcdhhN!S@7vM6zKor#tcpq`~^w}s%P7&Uu<J<
z*Kd49loJzf%Q0m5c=A+A8{aEx!dT|SjYmVMu{`W^0*(x?%$B`dylbe;G`jv@vIdcw
zZ;N<Z90^(z9ZW`(@~M#2aCUO`3v%&dbzI~o0Zpcg|7e>VqWQI7U*N_U)aR|{9G|HH
zxRq5ic}hO=uYCDKIp7QO%VZ3(AZP$hEu-e$k>|)JgiX{l`wP<RO*@0%_14979a*s-
zFHpzTbDF9AgGlO{cU)<n8r;(h96YMkjBryHR7%$%TF(l-`fqpN&Xo{Q!>d*_*>@+q
zpkoLHJbV)MgNX<Z!F;^Nq_>EpuKisT`!K>J&e%JeszQIb?(lF@2RfM1KkS_H4K0Pc
zhX`FJKtt2?n%!I%ay*pZ$)Y}r=vs$3dETf14bLbphwuTdbRCt{*8h%1#I3$d^QZvD
z;|jxpxn3kR5>kB3cMQo^(t9X*C_|i$VAo=EA3E4%HuJc79KE|UhOt&D!QQ`isTt+{
zDD~0oXziX!lyGTFxQty1urR^7LoYw0r|c@pWh+z2n!e%6s;?phTa2ym`8|kOWHyp@
zKF^?J$IL@L9eA+y3x8H=J&XcA;D{*;Kaq&#$Wc5Q55s4#XOM?RP{pl;%}ld7w9}MI
zp3YQ&q596Mfdk)B%`;Df;r@A~D}N=Mo?QW)9X7t2_m82I*GEDvod2LeGL1;^uJ31g
zDXNWLnm`Q6c!rVP`88Gg<)XeO2mE;=O@H=JA^lfB4#<`)qyGT_0RR6CmuDaqY#4^^
zEyp<ap2v3VeV${4P%<M5p@ggkGK)e=Ng0WXj6$Mi)OkX~s(eW*JC!}6BBjsY``0_~
z>$%3i$tmbX%Yl>k_;1zila#cR85Oa4KPhcNJLEH$W#Kc&Z-KhRY0Ay_C1bB1tx~S9
z#Pb-($U<P#h@;fES<0x^$ao?DIt4@gSv=`wVZVo><L$Exlx@mK)t77jQgW7J&6%@h
zfO}U?_eIksisP7=t%D66s9NkN1k1=kOI?rrxq<JL#6Yvalf(3IsIxWh@gr$iNOPr|
zD_)@t7w5;cUSkCQvwb>_ZqhIwOP6bt`;$_8+f3?84l{J+ul6p^OTm@KarHZoS1C0%
zy8DQYtl)oI?0OVM3KHCJd~1?kr~LI!x%p6p1Gc4RN4s2=gov)#ii>T3DZ?=d>1Ug`
zAocOCB7P1@5bDd|OLnINyX@Or)Nk+rJTpx?e_8@QW+{W=cX|*~wKy;s!V8b-k{pGF
zB|z(zxgS#_BYepgA2~$khih)`k5Zn91Iy*EYS%l=;C`fz^hJRP?-!36*d~et-MFme
z?+>gHlwqxM&QS<B$+O8dyTu`FF(y*coC9VKy?HcREdr0C1Y1TobK{n1hXZ3=kQ=gy
z{<h+<l+pe|HBB5g?rVL$-oXR&g>&4g@>0<3PRdXm5r<=;Ve7{ec_F;W$@-qG4A}3a
zoLz{Lfc}T}%%6ZC^bS1<+5TP@KJ401J76yf-oz;jK20Lbt~sQ6+?9u07eC*LI3fj@
z-#?<@AOwHK=53tsDngLXCrzGYX}IUi<NUf%1bn-+hHvzfU}?zzdqkoP6qJ;kSW0Z}
zyMIziTuK#G#Oi8a&}4zIlo~eCCkg!7{O(bw)B&Z3?~3e@hr;!X`xZx~;d0*JR~-ym
z5O`H3(!o#>+Rn3fdqv7Z2=kqopSEN;VeiXVdzu7Ko6lbF5s`<A_cu?up3{b{#yhyl
zcB*hCVs&(`Uja6PZfi1h=s^F;&necYH6SW+@6@?cB`|Up{~bQ73rZn32CvDJVP5gv
zo!v3Y(D!ev|NbdGxVCkYT4SpN&t3o9o@1{HEqBF)qHFb`e0PATe2pIXhKYoKC8$F?
z5Br@Sk^y9!rALQvGlVvcO2yJf4RE&p!?<W|04+ujyV?0o;PMm0!#Sc_@bF8eMDq`Q
zm?<P>ax9y{r;`HPh97AG1pa={uC5Q;i=JJxKLBvOaNozj8f2jB<oaVesSA6rd2OXV
zr-I2vUIo$-GHl38$t$Ys0EJtH#K3F`iSl1Qd#91XE?}*xmXiz=)rYgz0#+dSTK~3!
zHyOHbEie`tsRQGz2JPXb74-O2ED+bUz?HL$uH>H*9Mbp5;5}{)4`R3zX7^}8;Zq*J
zPt~$uN`Lr3Xood~NBG<<RMZ3~g$}PQ1~HIpI@~Vz-WtgHs@B$~>X7`;bs{5x7pOmk
zwTEw8gJybMR~D}-EIA51=PIBFO~|BjI$OgbDONCPA_3dM=|R7ce#+B`QBSjXR)A-!
zf^+Q@f!w)``P=XBwC^&?g^geZ!N<1M3iZl?5Z7FZ`EEv3dFM=yF17^jq>Pq^y)w|n
z)TFgU$BA^+(FRFBEuef%DyfG-687@+KKI^DKogCVT8rB);BKDm*U&@}@cEhGryazH
z$p;l!f8VCUQen18mpKuP_nUdAzU0S-SSfyU0u@}1XT=Ncd0}niZOC}J0NR?LkW@$j
zhzaxg%)gTp{J={jMTUr4-6jE{Un!ugcjb&hH51Uz*1de<Ld2{TvDK#&=8&6~ZIx^H
zm+~ml$Hc^yh%;ZMI3icfV4j&_=}XXe%BufiJE|TLc~j1FnF*MIJw0oAo6#6$qxSiC
zH)bLZ@iH*BS(pM=)vXVwq|qMVKk4)4wE(&{=0CcYXaeb`oNrcnM`^eA_-7xyDu4`!
zyS=lX8^hW3F5#Q1^EA^nw%OLh0>~91Deos@4EF@2V&xA0piPSQUG4G`!0_jZx$;Mi
zKx)j+>8->%&HZfhqLRyI-oI$bI%o)S5g}IZ<>=7t#dl(?uK?0J*x&KreCII>I{tZy
z3^;5&wWlam0G$Vm10J9OJhXahu3p82=D(k_450w-UoamoH8+5BVQQ{})hyUsIh`&h
zNW>$5)P-l-^r2w!x{q=W8xqfC=**@PG4$TWt^1wyVV^{j=cq3St_O$htK}BNv~AYX
zToZaQrEuYegfth*2|qh`wN4Nh{M(*<PSk^4x%-}Y_H(0yiv{aYm=H#KaS^y>^uTP<
zzd1UC2frU3Q%JHF#?njk-A$dka6g_-VQ&cmLm)XI-9QA7%ibN;j@JdL(%6aA1YVR_
z=V+a`6vg`23aYR4bYb|X{YQ5{K8)}ksJ?Vi47EQPom~B;103qRf4^|xN2Tb@i(7At
z;|1=eL9I3&kPs3c&ZP?A!eX0JIkP0H$v%u^&)0$3*<GDhR3f(S&~j3YmBK3nH`|qt
z=|J0Ts<^VFAPUr&`Nf@(MvJ9HH!D9K2o2i3;uR!>@Yz^)*+m8!tuA#dd+2~NTiVKl
zv%*L#EpXM;lEtN#sl5%JIxw-2xZd9;f`r1p&!U2Ixa<69#m-<IxTGc4%FZr^;>S*{
zI55eh0%<3!U%C!Nn0?!0>m!ckD}mOltMX{1kT7)UfeyIV6~9zQ3H+Br+5c%t0S_3I
z#eZGV0iVJ*d3{<^xYkqKL7r8_oinFM)mFM7rhe)1FL!DDRsZ65`GgXN$38JkFV}^V
z51%t$ipt>4>eX?__avM#b$lc!rU$m^m!$H?Wso(kkX%et#@pK4xbNN2gRDCO!d=y}
zc;cB#dR)E=2B!LO>^IYg*Ltd42am~N1xui`g|{lMrP@Hpv_7cL+n7s%JX(A+IkU*5
zhNd#iKj*6q;7Rc(8$%`qR3F;7?3ks7y(t%7JH;A8neOzzYE(dH>YR<ntQrP0oPF8o
zZUns28~4<r6!DG1AExJ$>R5uA*GwtKK)%YCu1!=z=6d3NCMk7P42h!C)ii<ijxH^k
zawR;K_2=>Wq#AymxwqX())a1h|8_r6hJ>weM|h}lYDi1!HMq}j1{~VzEhQ&O7<IN2
ztp8I*y)&mgls3%Zn0hy{r-Ov@y)z@{zpG$}R{A#EL38lr681T=M8d`9aIN8CWn8*a
z&OKB~fg84NuX|TXSY*#t&3cuDks4#<EKLCKAnoIG!zA3AY1jQyR|#Vq^j}15_7x#9
z&bq0Tgk_bYL#}rea7OTY!|4`)Ax{r$VOtWOy#2GYM^GMlHBC>yoB@a~E#LpDM+x8Z
ziruI>B8v}WR=?0Vs34TYHgniO2{}6k8-@C%QE6XOY?cTW8k5rBx}+;&Y~J45nG=$@
zq|ET^jW88*y;!OY+ZC{Bi`{|tBr&8}dY4^gr^2o`X2~`S@+j=Z7B+E57>D!9Zn@3@
zxE){!=;D?~k3Qo;DG5RR7*tS^^$b8Gva*$3UJl`WWz)|depFnsy}EJ{KwQr8u9&_o
zYG3hs+53zaEBU5#O}qeX-<0;fvXQ~kEf9NvnSc}bn|J>e0Vp<l)qKud8r2Sd=!_TS
z#>pImyTMfy$e!@lu9=s_Qy+tuohmtS&FXU8ejy4J=R_O0=}BON&^Pjxhiur`f9j4|
zvN>o@^(Jaw5X1j&T}#t7W<`?J5AMM)W>7D5IU<r-6df)ttXnCtVCPXhKV)YHyBliM
z5^{x+%{(S!G>jQ{M*r7)zQz=q%`)!)q6ndUmdLXNc4ib|v=(RJGlh_$)y^?CK^%YE
zue@!Z3A?&#)|g{Vz<A|I?cD_doVR(p=F88FA0A8wSdJQl_6>_;p)368r`GK<9l?y+
zZ-*t#?2TcCewglwAU__TRUcNOV?mv<=yA_RBWRgje!In;4=?lm>5Fb=!RhL|`({*(
z;E12`oxHoeD9&^GtbQ>ozOYVG(7k2|uhJJXqe#5?bm!pxcV%qImDg?=Dq;wAHHpGi
zjRX`GpZQSI&5nO^m^`0dHURC_kdF{RK(~G4JP-Ie@$$M%RhX~=tdDroTPqRpPl318
zj~Fh@bUD+QQ>+g!+kaTTq9@>zd@RGrIyWk*86V%LtPcxnN$+^S@?dpoyhU0O5Bh4b
zDe^VyLFHej?5GtUOgVf<r>Ta3VMoeG-Z|<)?YMgP6F~z0c$IAOrid3~<BnO*e$$0Y
z_oR8EEdhf9*p-!w_|U?A=u_coUHD71-55AaK*bTCuFPtFj32Zt&{Ee0-k@|&{6@fC
z6Fs(XUkRXUn#K;+4?1x8=F!CxH(uNsC;V=KQ4kHPYE073=)kpX*31L%c`>KD=JkIL
zLTD&(xj@od2VUe2NXdrr;puz2QwMGdquHT7Mjk9Wu;cf|?^B!i^3}EAOO}Kv(oWh7
zwZGPeFKTMTbA9|MC2-^PTDcg$-DNt$bweAZ{QH-KDg<zcT!p%kjRZz?T--XBpbbKy
zufFD-BjO!!E6>@GL|O|`Og}&y_9kmeRc8v~p0AaGu|d+vA@K4;kDK<U2YJHi6(RKc
z$xfZxC4*{LhH~m$v_Xlkc+RR-7++4gM02^zqDp1b>-jy}5F9dA(D_#c=ZceG|M8YX
zr|a?Jw_~(nvKtN5w~OKDq=onUL*>zS>UJk_bDg%&b?V3K#nJSy#rwDu3V5qGC@^SH
z8w~3>^jK9T(QSCgp;twUsHSS+`X5OL*aYI^ZSG6qxq7u;=SNByo$Dl?yvd^}LI1ZC
z71B8GTNY>DOTxDAiO-Jy(E(EUg<6hy8MN7A_=NtmGCFr=^JS#zf>)=DW1^cZUOm0E
z)nZZwBkFZeo675f%fF9dmfCVSI+rRt{!tZgzjUjs9?*kHzOK`YJo5O+i^Wm!o*M43
z&+iJkp%0=>Dwl7~$fK{-a_;$1bxgcg^wdAu0A?eY-4t6D@Z`*m3ECfZ>{T`LYKSm|
z;bX7M>arD4{6n4t$wvcq1XEM4MHs<l?I%|$PD;2VOCqxOlm@EZ3{^>qH-<h!?!mMF
zl(6=m(2nQP8aPTw&S}jy0mGK#hGqpMoO<lUa#czLEe*d5Z<LwB5vG!Z>>|p@#I##y
z?X)^B8@#hqcwhz@q9vbK<CIb4U~=GUwHoe`iIs0}F^7%aAG`CKmGOj7P};Ezs(AnJ
z9L2q!0y~s8cr*u;G0R;zQr1KTU78}MTx<bcrPWz~yi&%OEsfJw^&}k79dZ<}0(iQz
zb)8(IjI64GXT9l_@amSIr?#yDd>pU*<6@_bM~`Y49MM(4Gn$!Bjs{d<@RSc+ctygm
zd)ztw08c=$zjw(Yxg=oU4u2{bg!>fU)+V80|NPVGSQ%6esMj-&qr$o4u^f^yO6dOH
zT9Ip;6sAAVOQ}qv!dpMjpuAE=G#ncj3VSJrWhWbhyP`L9)rg46Mg>gMX4KY77RIq~
z!G^87sGz&JrX-K@$iq1^W0Oe4eLm)z?3$Z=k*li-XqLmzU%P)eb@AcJwRQ=`-vB0>
zjcR#yvdF;pnrk40fc?Hp<_*mNzl|G9cb3UuXOlZ$^HVN#k8GZ-IRYU1QFf-GP#Q0_
z^(w77v14CJ6w{<K!2Zq`td$y4SV&ZqHcMc^Vryx?wFU~D*tifGY%GDE(<wA36DE|`
ziCnn6g#sz{dzLeN#4y_ErM=4Lyj=0o#BnLm9G>Sq6zsktg6_RpCl?IpF;K4J;CQnc
zTo+oU%>5F=e+)M-KlP%+1TC3IW4vY%MS7&t8ZC&Oqz=={`hPSUgZys3U{gq^h2L{0
z5b<Rch3?k&f3(9MYRx-aO<+Ly@Z~M9_)*<!fYU4bAMHi{DJyG96A=G7=kTnW4|iVt
zvhO+z9S;1JeiW2o45yafugu)$MY}>A8cL(XFvh@^Eu%)zTX)j8taG#HMFuE`wCHj8
z<VtD6RwMZ9(77?dO2FyNOSRQ>4Ct<}m_A--2y>)@*&FR!u)X|^wDNZbbek=n@s%<J
zhX%PV>36xY@?^j5S$Zbq6t9;h<`@7$N1^k@TP}S2nZq_ojTvPq{WKwV1JKzua^nMu
z3v=$4cBe+N;7r4Bv*c8LAgcd5v8$F7?GkdzzP)C}Q#SEp`<e8C<rY^b!JiX*?`Q5Q
zvSCNc%gpoN()EBdC+I$h1t(esx0<Ma;6PJ$F(w&4JxF$Sd2qpj6OR_{J$xmN3(tmT
z?>4-q3)uO@z$lp$oqU<D`EK8WO{ASBo;teFcypLK@`)3pB98wm6D1%mrpoSNmk!+Z
z7;~@L!-Z+=m;8(*dGXg5xs>e9dHc=M_g6w}+-SWt$0Mr4hc`cl7AbS<0L_l?%cu9;
zn;ybPI^)HUSDPN*`0zj*{Ns%;{OQ?(FP{aoj$IPK4%X#-`u*DA7rxEl$utk1Tnr`0
zd?n(kPH|6uNo}~a)9aj59swOy_9;|53ZZ9x#@U=fGCZ>=1a(JVRQnNjrMp`gcM+31
z1WU<~^q)Q<NQe)IW$qOc0!7jDMtQws6dB?MTE4{p<ij1Yz1^pT#Ifk0l+xdAWQdMb
z@Z6Z@NB5)T{S03uup+yG%B(>KKMn4M*dGFzayjh}<0~ngnhq!Ui<4pY?d7r<K|$Pq
z`pL8HQ_@&8x`t{(WH{_xdMt9g5C&#h6_D0skgTM*bVZ5`G7QGK%~yp{*W?cO5276Q
z{D^I2Fd#!@f@^OAlPFq#zeuYvm&f=F#+jZyWN7DA)4p;-4E<C(c&j26@Ol{IU}FAe
zzA9l{BqV_umt`L{RV!jJA(5f<3mJ-nTe&Z_N+M&(F@;aFN*MSc<J1cqZ73iTcQR3>
z(fO@+rLu-H20chw+>hGO)9~iagt82d?XUaX6QY9gaa+{iJL$lxj+c0ts4SWbJ$3t9
zqKb?s&HQA4>wuE+h(|d=4ukWb-#yW$hHfwGQ|DTAp=`CGjh{mvV{yIZ&MS3%c9J1!
zTY(;gm-_9hWK_T>A8W=7A8qo&T<coaIeoaeGefa;O#z38llH$oritI|z3+)#F@Ol8
zn&0Y^irB~)^va!H3!NCfPTRK_LZqX`YrRe-^r;Q3m{8KfF@1Jb^LZmUp8DRbrI3Wm
z2WLO+R@K5RuI<hPswSJg+F%jns*KfaR|9vmY2ouGW1iQCOre6(ruTM98UK4ElNk}K
ziFx@qANSocgQ-V9zm0~eARmj^KzX(XM)o{8|Lv<e3|;fh`_-m`by=?8>fF@v3SVIH
z2s6O@u}BAxMHMWRTxqZCRYi~cwWXvp09+vvclT`O4+vXF4solXbl?58+J68!O;d!n
zRux>i>nqw%-1L>m1kN~LDpVWxYu4{qK`$oiN73I3*fT?(2)#`OT1q$R!>BUy_{tTO
zcgkVoe}uBY5h}oeSL55s%J{fnT5~o}21!I~d8<EE;M<dSI>3j7M?0&y^2a4{Ii{Fv
zfWZRR&t%;3JE(--%!j63Uy7oM4_9u}3KdROfTr#qMI`z8*%bd2#F3rzGopP|u%Q=I
z7pEv-xAbmZwFG`_ydfBzR!RkbPR;~xetArP>!JNAkbq{DykpgYR7hLHq#vWQc<WHr
zZJUFfc;K1$kck8p1li-_4%NtDKpR!P=N$_s_wr2CbpxFFu*`NRK^kjD+W4QdFk)db
z^~Khs0M6rTH{RTq#I>~QrJ>P(H0$mYQj=l;wU)lY!qMV5=rM7^lzE*-Y!_VcNTk5S
z$7us4?xJ{9si3>r{TJ<5o=8M}t2wlrU3EX?C5#-af9np^t<dgf8owW8F$e0ID8jZB
zL8K$l&g;*Ar}YlgU-ob?1J~T{!=v2-7(SrD<}trSlRII)Zjx&X+3)4Tm(2L_-%6_(
zf6fw3l0|jNX~YDWs%k^x`gl<|%6O6TWQkVLuy9L4!vs!=G7v|y378XmQR%?$@3aS;
zlxu6r#*lM5d|iBa3$E{88Kb!^)0$pCyCX7S1Q_haWIM)%!cRp)e-y3I+^wFSE7UOp
z&6#B?t0E_wC6`yu%KfC>?&5r(e$f!D)g0<SSF&TLVB@Xu(O<NS`ssq-ei;B+w4ro+
z5F4@(LVtbgT%)1lDeHP)0|*e~@p<aSirJ@cCHD@k(>yAE(S7OB2aW3vO#LTVFfTql
z|0{8Wc7%WELo7ufydr+pd3|EWlZK7HcMa)qDvAGZ=zTr-?|}Hly?)HtW)@pU7ekLm
zOsT<-HT57vUXPW^$BbT*!plA#3^-u_WjL%>7sh+pcGu1@;fn&coLA~hXvq?KGmWeZ
zO!*@VHJdqGR}@oEIWzi+{n*Oer~`jr{BSHGFynXWVhJOCR$TNncaYok2-}FIG80c`
zG_?FUvTc|Rx2gtmy?dt(S=)ytF10gbk#a}X>FXRQnetzOO^7y#d#X4Romuey_yLv1
z6I`fZar<2vvo>7V=CBb*&x(0(8P9x4-GZ|LsduGsZua)pUy1MkW5tIvbs}YM1Uwk0
zSN_|M3|bYn@n@d1p~G<p%FTFQ<ZoXJOj^-`n#|V2mP71lXs+;|StB1Nz2$t(aZ?Kt
zL>fw$g*dTJY%tl9TL6s@SITjCYeC5t5y!X3xRA2@=(me;M6@EmOWzRD0%yz5QXU)J
z$mGzP!^J3s6{SK2|DI?<)Q*6CDm6T~GNPHDTq%qu2dqCOdTGL(_9TVBjevGr^)B8D
z6-6u3qXr>1O>maxRx8`|e~HDkc(I-0xEk4=U(ulfpU%Dx+&RLB_cpS%<vb*D^4)%C
zm+Kn9{DIu5$SZ)RDRYw_DAMT5$7pu;f(9I`By}oz6Y=xiM-PevWl*SKFh=yM251P(
zKBYbt#NM3iPq0W9w;Jz}6MUfoN-phl##CXfdgPK^J0XYLV@raT_%tDRK{nv(pa^Q8
zzUOOYs(`UM&t4u%)dcoq%c)l{iXnT-yUB{{ig;ofc6ae;LBmU?ko7<boG7SxEXha0
zkGYz`I}d9CpKt(a#90b0!=|5(XDH({)}g%lrOk659oq1ymd1{|59xj~s$$!TN!>@8
zWN`Zdwb4y7D6%ah<9DnY%Fuo6%K>eeW&PZ+*ei>6Pq$bJOsM1J$^~s!q7Ia3zL|Dk
zl*88h_8o(Unpm2?wUCQl7tUD4wnp(O;8x=K+(!LPUIaPJbcpN0ln;-WwXPzL>aT78
z(4>VeH%L^c9r_SAM7jBQ(|11JJi6CWmW(d```28H4dB}FwND%VBs^F|JQx#1Mkbzx
zo@HhuXc|vTUfrjR;Zb%UxKqfu)8=V<>SjOaC)4NgJ8p6}h@me(l#Gw(_nf-GVhXa!
zh5h<Ms>qphr-WC5j0*_`ch=9D!IdpWpM0BD(X)b0B%)Fa|85s)cjch~^`_z(ejPPD
za%k^<yLnA?-g2wL&>Y~2YwysD7&VNK4th%?X<*2d)5Y8`0Hb<+jXvpWDC&?$N8(b$
zH^#GT`7u=3&hU63cCQ)+aZfEfRw<*6DM^0)I~5$&H+<Uvs^YHhXU%s7l<+5qhf>*2
z3sCZ(^xOzgMf(@^rk?}kaY0YIaVp0GbgyrR>3kJ5SF)VCRVRb`cD7SjA6UTIm3R`z
zrf2mr3yz)<mBfK`I-VboEkK}X-;ik{2`ye9-!>&8f>uX7*KBWFz@NFji(Ac=&{g+X
zEPK2F+JB#1dX{1V6ZO7<?%x#fvZ@Jlmn#8%%cV#JYYSNYy2boliaa(cws%hNVMp)Y
zxCisAR46umJyt3phq1dGiI!4~=rK}J%Y2;*-uk85xfPq7%G7l^)VWTZcKWzj3RJLP
z?Bk9CX-utOm>sZOroC|LcDeZxphe#&tl*^to{Qobx=%Mn<8$=M4~hi%70<%&rXhwq
z@&f;ojfQB>v&+mcSO5qQ0!kGh31hc*X~jfG7ma=Hw{wso1=u{_{oZy^5XBi254lxU
z(P|p<w+3(eQ9|l;>pq*!f7+kP-T$VV@=fAnG3#YBV5PEf-FM={Ob*6pQ*$j8)%I|4
z?JiS@Ph2bCcZz^|$r|P^g-EH5J6ILNyvZ;5ED68Y+<3<Q-}&afk15;y|24~7o4~b0
zcFKFca$sk%Ru+SK14a4!Qu+2wW4LM%rZVNY*?S7>Rw<?zD4u3(lJk8=U=mi9eS)3^
z+buJ@UmUEak(Cc;f0Z|a;NKBxR(}|A$4MfUtNJPJ9OLvVPn;oeouRiEHDbUa&GTpP
zsrAr)?il7b>ob74$N9pu^>kS29+VM!tB>~cV2Lk9#{jN|KIJ~qu|X^P)H4{j`jIx7
z+fhGtd6P$i)Zw~|e`w+1|426;j?$Kmj^F0}rw8Af=XS+3|E66(5SwDpFhQI0q#QpV
zq6dmQy7&tX*Jw9O*uJuPeWUp(n`>AO>H?9jg7XsNDveo$y_1tRO?&_6YdyzKUC7Ie
z8>}Jzq8Zq^QDb!GX$<9)EnOWt@IL?m0RR6CmuEbdZxqMvz4zYZ!Q=4^d)>#ZWF#sT
zsWglT@h@Z~qhx0#tBjH)DTQ=j5>cY4kcg5b**oL!?Rj-R=UmtMeZREUuG6!gOL+F8
zmQL*84Bl!Je$&sI2C{tmM`<gIxMOmS*6GSQJV``f;9Dyd)+)kh+3`jEPxJ-dpu`0{
z?G%qG*KR6Y)+&#AUAKsPu`xf^iCDtP`|A?NyD2ak7vX#E=OS(w`0RRq+zL)7?DWR#
z2nAjdPAk2{mT+I^%Xiny*Kq9Ew;fmilEFF9^&0o<C0uHy)puiZ9cL<Dma>c@L&?2c
z`F5ep_{c+T&)d#hxZuW*xSJwms17xF&wp?QmyoT)73b;D1-<$%^<!Gl)=zZ`^H{}O
z)P%owJ29Z=vwb}wc_ff2KIEvMyM{-mZ@8c7VnnQ;Z(X<krU}v?o*6}L{=>PQ)Q72F
z%;;I!`+_DlO)wEJmgP_1z(<DO1l>|%Mfae7LE|D3%CfXpG!Jayep$&$XPMd2;CuJa
z{hu`;D8GKn{w^KbavBcJ;N?VeZ_Jf+4K-jTQ*!PTqDNmfm%(NSH|n<e?$%nS4zB*(
zPX(75kfD;N7H>5#@`=2BSW8+R`hEWGqS`Sb31#&+-2{HLaZO{;us{v;V{yrX7H0G=
zFySCuwg9Sg<=`ArR|7%L-gIUURun^vUT9SoLNun`jApM0Fn8t6%L4><G*^Ay{#CCq
zvMI%qU;7YXpuF%+lNcu|&@j8%TqTOCPTk^=R3w0AQjP9CJ#I9p6L2>Ep*YGgn$6Ui
zR0SV3q0I6tyl7{KbXnt9Nu){q<>uF}3g1*Da&cCERR47(^M|esnm%ImBd$>uq^#MF
z(Rm6WqR)#RsYm5djA7Y}XKz)ZTaWW5{Vzde`EpDt;e|ZP^HL);FRQ}oi3`d3al&ZV
z8+-e=I*N$>;y0dUD*{XlcrsnxDT+QHC>^J^Dj|Q>(gm!60De=<4tgYUR8)B@de~0|
zt=^VgQgKs*F;{PkT75~x@F~V;Nt1vqXLfscP}Cvd)UKW=PidqaohRf-r;d0};jTTH
z20YZB*4)u3i>_RG)vi6Ffu!Q76Z*+Sm@qG!`XnKbl5SY+Tx{1wOB{y-_>@R+)UTQt
zc3J^x-Dud%uhv4xS_Z;+n8;9<G;rg{OGWgt_zj;^D;f2gY9El3qrja0J#A}(GCEFo
zChlk%1&#FOY#s5Wf}5Vy$JZGu$P$*q{Qap&pPBA_=^zchX8X#hFc464*Cwf1f`-2L
z)f}gb)PaIte?1c~H54mDeAtjnLnp6!<jd~T0~O)f`&XLOQ6syYN9a!)x@#7$`$@+D
z-kd#j*Os1$j(tS&bu%<{EcawqqmdDOxLq_hA+3q}!@GWs)X>l&pR^o`y$MLnC>NaO
zBB7}CzskmHH01Q)ao;UB47~5Fu}i)rp%<I>oqP^d<RzwZRPR0jA-*v(T1N}zHl4nC
zkw8K2q4kW?S!NJNl9&>A*FuxJ!b#y_TBzi1_sDAxb2vNeC?spBg{r12OltIq$TukQ
zUJthgnDgGbB-27dF7!>i>F*Fw>_NN8#bgUGc;j`E%s@gqqYEALQ%b0g+a&(ts0D=3
z9o^f%L`3yPV?pP2<Wc$+*~|a&Si;Y?Ly2h>8t8;(oKb|KB+8z$Vh`rE1Uf>tGlzyc
z%GLfw8IBb~-<2z0Gf!H8LR8{y+e-wbS6vy_^Op;$OgZ&#mRrDLB~kBVy$U+hN7$)g
z&w$8oIcv=h7I5qGxrZ-*Z1?fC@$lj3Io#-0+lk^I<{%yKmv6$Vh;o1_^Qb}x&L%ON
z;p$@!wJHDgZjt0s*7*SEa)}X4^=jA8&wtDyp@i&Z*eZkEd%a3p*Jd$&{GAu0ml@0n
z&$WGbl0?fB4GvY}s~G!lX}aN`0E3j46YhLs=!Acp9*5;7X4R&;m~sMuoO<XzKZ7tj
zC-IBiGfoGo=A|xM9T<qe$_Q&93ZUf?iMy-p44|3&pi-pY6k?S!nEMrZkxrr8(a+@!
z;B3jtxMRu$h{axpKaO*t>O4tU_{9KAH5B`PE)($J`*JQwkOjs6Y0BmJ#sCtM-M-b@
z#$cvOnm9>jK&QL+c<d-;fXmVd3qENCp32B%_o)s1zw@tlytHM2U&DQp<pqY&S}SRL
zhOms6o>Z}=AEk%;L3QcP-wa^GLi?wB_AFk=7TFp3A3eBKJ#sfB7{K$L4+L~9f8&hz
zSyxEh^bqDVVV`hbA8eB%mr%ekULL^kY2pDL#9Px+jNa)%`9C!=9nuH<uQ3b9_oH;M
zD5971gP;et&5zo=50~Ta+QS{wDs(_0)W#?$=z^N{#Wu6Xml!j7_{BIQ9RxMcM_142
zz}WRySz=`$vBqJI<frpn*pqAe9Tu)Sp!p=r)^>0R6TCWWwv&SnmJSX06?bUE_tMjY
z?&71ENbkm&jV>J|tACcbWu^@lm!^bEJjb!tM|#g*M$o~yK@qn|0}YP2_7%(fPhugS
zIofAO>EPTwdd(mDG>G{4*=1R724iM_^oz}t9xNZ4y3Ev5!AJOLxXbb^)+<$LzmJ0f
zUS=}QX_!$#BbYmC^yNJEG(zOJZU+PGp-tURcuRre#UKYfVG%QNSJSM2zzAqA+==xN
z1u7^nC$jb}V+r%_i?TILa8x12wRn;Ykw+T6>(o}UMHK$y=ND$MAUybc>N0t|&lY!e
z?tfT!VxRCkRaR)<t6p(Th732jWo(`@Z(x;X4gue8vVj}LkNrTH78npu(sPP$VRa!r
zrRNMdKq`Or`rDTzSa7yja4(~Sj(XaX79$tDmBJW91W8aC(RfO~haTz^tnPEJb3-XM
zBlzA|6ZUd7tBwjYLg4s=$UB03(Dgf9^hh@mjA9<x?Fe9kF9UmGcUtm;$T!i{4`xIl
zb}{518fOOL%Zj4@Gy&i@^T^(Mt^xASb~fY)R@h9u^!CiAARN$sqc~xy0nP3O`<8Xs
zL365KMJrJlyc`EiUVl*sJnVw%h5#o7?lxyRY9a~`hg~V`QR-mBRI_?tj2mJSpMs^3
zI8^5i*Pqr^ho#PQfr&P}kmCKfT1Ze5jy+13o7hr=4B47}5})}Xw_X3nn2|I@up+j(
zAvG|{tJzm9CjfLOgv}FEWr3A&u-5vs8XT_2c`D-s!R6XfeqDBX=v4Y5BKKPj#B{Px
z&#?<b9nPSma!diZa=D+8CDq|Y1zRE4eGv$_nS7S*y&_;HCwEo)s{>EalAN2L7@SRz
zPt@M04D)H!rw&u<u<POLuQQGkkhbjKsynR$qdISBPB%25;l>KT>j5dS7QdaGd6NJO
z`XzTxo+pB7g-~TugbeI@@O^j6esu_I^cGG?)`WP(*K6w`2an&cpXrt$!l#_o;;~T@
z2(m35Ys`{|*y#g@wMR7J+{O_@V<1EE&LN$#UInQ2o?rDV(t_MQ)$L9+3b4gl?*=6$
z&{#DTxll$1W{0i=19nu9+=}4eeL)$Lxs(%5o}oZ%)4?v5wC(>Q;Hz<_O9fQUUeTKt
zr$UGpOH=i_HVAZob?V>dl$gVjRSIQP@EG@0{FAH;%1orl>wap$GKFT-S!n?4r}xEJ
z=tJJxABC_x>L7VBO>jY*243lYMzw;5@Vuj3IkrUu2trN2$CYW|pnC7z!lDtBJN7>j
z#)&|_ULU&9Lxr;>Hf^>c6L`cRRCg&s6YOq(+YB_KLXVwGeS9MZM&c1&4`oO|m5F~G
z;7Wm#e<3CZUjj5djHT~BM}mh@!Q;9{WH@zrX0toZ40bN<T;h%)L7VN6#ciYsnIf8>
ze^{A=xfAK6v@HpmsOFDI57oi+{{E%RK6BWR964U`RufojM?RT*s6uU-oByDd1;n5A
znGImp1db-!hZk##(0_!=Hg(McQhbD~Ikq&Q$-uQsB3ll=`RyvQs<42XT)&P`qz?Ry
zAG&2LB*56sQP8){0)##KZY4UYLE)PxcYfX!f~h)&S5cQNKxk5GKVP#d@MvFT{Aa}j
ztQKEVZ<<-a1?zr&X$cj$sLD^j?;aC;>y0JDq&YCRd!P66Py%y<4<D>2R<PcGA)dW)
z=D_-eCeeCV0o)>eV!p?XVb2t&%=U<w19hxVvSm&Vpz^|C*Zpf)n1I-qp9N+xn9?}U
zmnH)lA;0biOb_G!f`hWGN@kG!U9!j1T@t#V+QllUOyP^B^UqxF0{Ai$xK>@nAlQzs
zj(>a}4`_NP)ust>`yO{^++|@9=Z=zSFki-bR<LXb9}LcTwhUeUE&x$~ziaS#ui{~y
zg3WoCOkw(xuT#Q#KF}Pw;4zoKhA)?gKlCg#0X}c3x9c%nFj{u_poPdkysAuJPpZWj
zl7mfVEMwRp_ydRAeTILy+Q)#2mvcr?G~CvZGR_2ATBpX@uC3vA!e!@)1S9yEkdjZi
zPY-&{jKTu%SMeLq4+JuwGz19XVYW)!z*bq_+E6A}aHBQn$?>}ez{_y);bY$wjCW%;
z!EIp~&nsHpe`a1ERygr8?Qio~Lcoujxs@gS%drwZRZD${y%v2e^T9Ocu|BI4!m@<#
zyHwa&o2v(hgP(2PNg2mR>260JR9VEO*1z;ME$PA#&EaIU^>-{dP4-fV`vUGuH2k=H
zKo>ebHospB?8mO{iBEV{JC7UD50>%2(1B8RYKgab7v^}k_-ldIJg#~usQ*1d2gVDy
zHGkc2z>K6@-&=Rg;T|-Ly3K5DDAKU)dbXZ`cS*B9QBI!2UA!hv`EY7OY>tiNf4Vrn
zB}Rx6_-_t>tf2OHGMWYjZzG#!$sM?H-#5=IF>`po!Lr|xO)4<VTph6Z+=Kt;%V^zG
zH;3!*NeC(or^4P#FFj8w_2aet!G1K6d0gSi&x6<Ls4#vrPLN+}2v2m}C|tWSk4x{a
z8Ip^qKyG6bn~nDfuDB9rS!}g{p9{PHiNa3-y$aKtMb$s>Lfv=R5Aj9ZMQ7jaqXIIl
zTvU`E`1=#*5bv{Y5M9D`+D0m_YmtFrkz61^7{}{^rfyt@Wn4vyoR%1`1$P7lecpLa
z;D1V1`<F7e_vr6B5LvtJ3(NZ+$UU3HTlQ9_8cD3-!BXq@Xa8*9)ykxt_tMk&nY6}V
zlU@Jt)r&Vx`c*YS<ngD3r|)NQ36H(A3iTWK4(dlo9d9D=6x>QTR-VI2P4jO<zi#2R
z>(%DmH5xD>SrKZGI*&ilzv7)DO^?zO`F92~Xuu|8f50W-MclfH?(%8hZU22l;=AOc
z4k}hJUNP4#;XKAi@StHvM3pqH_IRQOJ0bb}_lOnT-+UmwE`%BJ-TT7iEUpHMc3ctO
zK5O`Y3Df+k#;oXLqjgk43;~#u*sjwquj7d=pZ``8+0pN_EJdZ;9(V7sRjK^jO+4{1
z+o-BNC%SP>hJGwi6?*n`e$y|ZL(0pmdO@Y!=!KD%^}i(*h%h}VbDWL=RmaG6Kau1^
zr^e4ul*Xt4uXx~wKsX~BV+`IXj^Rgrb0k8ylnO9Tl<*`<Gb7y!@?!@+L6n!*D_(?@
zp=hIe(B>x#+822;w6aME$*vzY^$k!4(QiNPIQ!Vp=EErco|_^ldB`c|8+ki#jwb(X
zUFARxg%)*xZiyjJ_KBrgI%Vjd{%KTg&yAKd(uhjE5-6z9MVN6^2}0S!Bgg~1$o7L$
zTbijf+NtUEeDtdl_z^=6jXUzA4^P90+yk=cKt;j6zf($}{7aH0=d%DRUEA#%bwD1m
zmRMJ_%P7O(E)&Mta3RE2eHs%SQa}Q?PX~AUDFYYA5vFJ(f;h9&L~mSDLgCdhp7CSK
zaPE@wL3I-`WWl<cU2Ud<40c?cGrOh&k1mtr%UmST9kG(84JiUL9N)dwxt$M{z)Gvi
zmqIqZ!Id3+>L}Q-bFTJ00j!!Ix@U69qCsW7nL05dDqmtN73)%i8ghKCZMPgc%NVQ)
zBog|WmT=QMPy>R$UYBU6D4@N~d$<&p$Y{F0(niQz6P`_UUv0jvh`1;A)w*a>kkCHt
z&BsP9cogX!Ag7>=Y{t}8*fprAW{SYSY_Of@AN!`xRH&dMnhlLekcOUkI<>O3Q6bGZ
zwd%e;0ohEXJoWlYLk0uRh3r?g;Z)2!F};^+h>{d<RD3}jsdz~2G!4~-KhaT*Ri+x~
zL9kfV=>cu@Tu$VAMy5WnBAy!6Vj{A;O3dR}(MBON>oejX456*o^g_@NO~i3J^u@Ji
zZM5UX7raHr1Vr|mUwt)4LhQXxUnF$3(facqzLql>bUz*`_J5^?ZbTn`d&8E76rW|)
zYxe*|We<N1S0N*sD9gb&>{Mhg>-YTImu-(zZcj}&Bct5MuYY{{kBsyq^Uw9XG>3g5
zKd%Ln$>``Yp}`R=O|<wmfx;ba0ZXAX6RM+Hs5|R#yqKjLy3A&}UsAvl>h2mxDDrBd
zPlBBLV}+Gb%dtzN?Po2)-!-mSdt4LM?wGae{3VC<9F;#h-L!-ws?EW>LWpSnRX|K*
zn>f-soYg3pV+jp=^28Q8)se-T@LIt^0VL3tw)xJ-5>9BWc{(f;&{Su=Ppk(k%K4qV
zw^`Z}@{jXujL@l~-BzmRUmq^xJ7bG2@Fx}!dTOUz$*L0i_<DnTL-Ye)#h!I_w~+<V
z@33z(n^HiCi^d(V@(T+O=D=j1n8W2V34y%da)_hKOXiU53N|4ncd?UT4ia)@1exE`
z=nq#{e$WsdI9YUNRp**PrD6{22Mr0teLa-X&xZ*--`iC!aBt6ZRO>EhsR)X?_4n80
zBnzxD1z6!R00fp`0inZ!DC6Pg>y#`ukS*@kI7J6=BGgtCbL2zz*;6lMv)O?b_hyeV
zBL<W5)4B_MoJeNNxHwUi1D1lg=JxWNf{ctdN5K{|DmQ+VQ)S2j59@Y`{!=%B1un+m
zS}%HJ?!k5YnluNr9g{9c4#rSkLUrm-UBhb{g(#nT*#R})>iQR91l;j|a2eHk+?!s{
zKKCL!IEe8`Pd_z;N36UVu57<?kWG!7lVAtSd-8z;s|JwxFjFwc`3o*S{dn}w3pUUT
z@7CtBG=PPvyx}uvALF5MZ0aBU+29G!72cuk_k7}Rnmb4PTkKe+@5(`aHej3#T5p=t
zgE<SeMEb=c>{<Cw`wJ3mQ2p}QyotRY<o$6QvD5s8sWqe+@kz1)oo_UCvPKui7=%02
zG^VhLqV;2}CT#E!@U9S9T`21rOxNEvhdH#|FiMDK1Ij`KOKGYOK*|yM3TzP*SYcbY
z{L2QJ4;T`SSapE1gHvmnc?CQ8n>?Bp!46M%4vL6h)`p|v@2geru3;K%dkPEmIH2sT
z994x$8$?nQ$M#V+Fqe!<-UM+@=y&G!Jdi+xwYTG8?G;<tPrl!EVai;<5PqudzAz1n
z%8y%L=A#FK|J}AHuH4Y*aqtago9mMjJWCgC89;i6(%IXH2mH8IuWW2{H{BEd29Fd*
z@K|as^i$&lw$J<b(t0U?pV(Zi8(@MOsj)M89Q@$k^B{-u0tLG9orfRmumD-x_WCfB
z0MxZis8-5QpvyHoX}pLP3MXIkxrqyc-0Kew5pT&5be%4%Q;r=H$GoEKb_s#8Y|PKT
zh;1(}`=izNi~};{Bgz@Fguyo1-imBM20oP|dsWVG!OiY~rvr4Npg(7zA-ALj{3Dc7
zqA3q}7*CfQUlRik&2k3A1TA3s*nzQ&^Fhw_!(NwkB|ta)VGx<D1?3&L!lIP<VK8mI
zZIV$6?0eWlT7HwD6nCy=u@(R&(U!dQ1!<u5>@%dVBZ2dp`K;(gL3nzkWFenP4j3D1
zee{b+kj>kuBGE1cok9yd3i9$W-e~uV|27HgV|5qyl0?93zq!Iw2L-s7x88lVi3HKl
zt?~Z*qENQ~LuOx!BK!^i%)3CZ1(GTpt+7_(U`qWod2v_?3~YAPET7VXPI7i~?}`LO
zcXtTQVJgrB_s+&GXhGjfy6Ir66i{{4w4YR{LT0S6>&XLT$m0K(!Cxf<A&I9IcgU%M
z!yv(j`Q7&16!&#VxX3}SoN>oijygO&t2}DzMgh*&q;~=*<iSh2O>C5x2w2tLKvoVa
zBwNKrd<s#3J+<$CTn^WS{&?;0ET6XdaDY2sC0h}U8eSa!)klJv;G)74I1RQYvv~#U
zl%Ur6e!&|~GU$@Yd#<%>L*#qwJ>LeD;kd-&fuSri#EI;k9-Y&He9?;)8*3_{lauk$
znw0_v?;6=;80dk(1br|cKLM2YcsZTePk~#ZdKI)>eHeb{oU$&e2KB9Nm9N4n;Pc>6
zP%*C|G`wpk@Ug1{TWMxW@p%d?zn4!~OgDmCLc6xZUmbL~Eaxv`6qt9PERU8n0e-m=
z#fwQA;Q8!R`0Z{o%+M7wYZsbAepSd-VL>7oy;%!<K_-Kg<?z*Lc7R+&`%Cd8g8D8K
zbC+i%n6-`hKJWwp|Gp#E<O&fS3=TBPJ|;r#klM1dgBfVGJ^J9_PlVp^)giMJ>Ogc)
zb#(b)2EM~Ls)J;S@X=0va@SW?IA_u4e@5RNFlXbpomm<%Qs(>a096?}!X3|?k2Z%P
zr%dmpesvgda9Z0Ft^n=+dA0)&%;BUXdui>Y8ho+&xhY#F3$tm2wbL)mVWPlT{M}~)
zWN;*=+)I*xwG)r;s@9l8=R*8tw?b8*-Z{tQ{9YKEUQciGrJ4ixckY5{dljhU71GR(
z;fHVQ%g&W9<`82vPW7Es0_MVZQojD2Ao}X*4B|6~3p?FH|3xW6()fk=(Gez)FOQtt
zYA^$~E!+N6f(oGR$ReimbQ5c=!^A(knSptS<tWEJIk5RO&wBj!B9`{}F_*<E!1LuT
z`h*M_=upkSLVP}nmH1!wZcp9z%DE-po*79X9LR?9pb@O}<<y%qD%<rU@$u_t#bI2$
z;zBG}Hzt|W9u#yQgC8>Ai<5;#L4sw6%Y^we?8@29*2-d2NL4*D-uF`o=w>Eei{$fh
zGt;eJg&q^AXU?<{+xAc_>wD>eJ#{!!#($i@SWIB_Zsq{mzF+)(mwF6o2tTM&rCx#=
z1J5hLGsQ1>AY?}4s@Cflc-aa&)P@^@(v2(6#Tz-dIqti1|G`>3L*$ExdDFI6O3M9k
z<Yot#z22M^UbpaDjVlE^ISgUoT`B#_Jr)RDs+!7udJAhv-|t=RVgQaz@={nD6STd0
z-Wp}!h`DXJMIE@W4`)T1`K1~d;P~?%`pw_%7^B4aa~@`W@Txe|6r@NG#cda2I_A5v
zw1STMyT|olZBaP-YQh$V0!D5G()zKcqV|^MSGoW@BC$Zd4b0(f-GWomH%wY-;O2V`
zT@Zb;*ZivGKdf6n_^`6*4=h#x_z})*9iTQABpoha#V!}m#8>)^Va<|b|1PuWKyf#B
zt=5qh%)(n##`fKBOftE2heW70NL|+#<#S!eNWAWLc_x3cK%V=f)w4ACo0GcMnYV<s
z*TiTny3b(t0efVqzBKqeHEqZuxrE)}7neUroWmXk9>QZMsc=jv`hj5gB3AUS@CA)^
z0qd!so69{*g#$hErvzVY*Vi5u6wWVVU8hd!dMr^u+535Z-@qb98s6W2ZE+d1BdQ+l
ziK2k2;2o|p!V>2BWxbrlzlL2C6T*M+P{8VDiOi|uCCv0*O|JOvbqw5fol}d*@L6~x
zT+wD3o9qy=)V;fjxoz%I>(?Oz6Zy4KwA2bVwEs!^k1RScc@~=#o38~+%BdY85~~<K
zZs`1Eh91rvt!Gz$CV^v}<a&zb8ury<OEmQaBS`K!?zT&m1jX;wCO+Q$hi$&PYjbCj
z36f6b?T&TVgvUxG!D0Cg47>8V`Q#lIkg6(8%C92At6gmeJNq^<ffAFO0pV=m8p2XP
z%u0l~qa9&I$LOHtO#Zv7Fb??Q@5x%@sR2bNk7SVo>EZFCPrG-NaRE2|QK|H9b;#iF
zFc>RjfUj83(rtQP2w1gA7q?aiui4_Dp-D!FyQ#UT-_8fAy6IMIuhbxMc^C3O%nY#|
z(PiBv0eG)rnPP3H2D|^fuhXAm0Z+`?QRlHB98xri`TLy!1}Q5tf_K?~$DrjNpQ|uv
zxXwE{#1R0apUII-<bVh94}K}BiGl~W)Bv3U0Y2%#^Sk+6kWPP%Syx6JzA3#399>t1
zyris9t6?4}IG=rK)kG4E{gh^OKB_`ww^w{m1s{x6t$kllkcM`?hVtwtRcNn`5b0tR
z0Ecz+j3!1oh|hFTlxtIkukm~T(S-^EhiZ#=#UXjvA3<q2{b$>MYyAUu@d<;&?;+OL
zZxrB<$n>sEEdtb9vDbUGiNNcu7EW1bB`CYoE$VrL02fmH6eo(s;Ibwa=U!5VR;B+s
zjY(=y%CLTFrC0)37|+EsRH;I5$sK8q1vNPNUW>`3T?+gk9dI_js0LD0)5<-w>QF*%
z@G29O1rg`L!H|O*(BJI)e1%Aa0V%m0p(Z)_9{>RV{|uLhKh=K}#;-lg9@*Qyt~=ao
zukUfGl*$ODlA?&Hq+yg0B1KV2sU$LgT2>|BkBo#UWRx8(d&~U!2hKUK*E!F5p7${O
z)$nwnfOLd+mSh11_~l5|#(XLu7jh%gk3<9iv!_4ChtOas_Hl*%AywdRJYE|UNry8P
zegD;dqJ!tA%Ok#(YEZm+FptYy2k5J#N6+vvU@3V(DTJy4s;1E+JjM)Q>LlTUr<veS
z#M_ioHNh0gw<(V?ps!twox-CB_pb`ydBjD6(XA<-e}b9tvQpjCq(&dKu88-xxNCuP
zuEx2ruS{?v$!r+NF@)Dk^*49tl0l)Uhu}8Ngo}oR{OlZKIDL6(t>}w3D1Gqiaj9p5
z$uy<9@wF+0|J>*#&`1H<6NCp%&P*7obf1l`HwP8P9?ytdRCs=WFt$070W$AXAAa=&
zIGLbc#*n1}|JzM7QsFuv9yPB$?`#2Q_KexgxzOPGLElfOh;-;m$hv1pVL^drCA+>2
z4X&Qa95o_Q;E3O8#`}I2EbHo&#*9$G?@HRw=3ElQPNU{0CoEyFvD{W(j0&>j6=j}_
z>d+vs>UR9ICB)a#xp!=(K-!jDO-kk}(A45;eT3TzsxKz9csFPRw^AT`BU2t$9TtPm
ziCV$lI3YHVds>imb{jcruOy^YiywWlU<rk_!G1DJL=ZmCGgu-m4BrDiL>`x0!bkj}
z_(Ky-VD$FqSE+G9!SYX`L?27&xv3*=bW9yK>=W8zZaa@@pKkISVz-29Q(GR7YpO8D
zuOi{v-HqM9w$^&}It$8oE%&fqDuYI%cdy#buej{*nBg2D7Mv?(NY_;<!v5uVLOO!u
zIHiF(5qRAK#;OL+nQxVYxrl?JBQTGT2j0mx;J1K133b0{bJ8%-Tffs_Y#FaAX&1GO
z0TA|lbfvLF0<?IVbdLuRQ1aclc6~ko^CbD{Yty3ebt#9UgtMVihs+>NISitw&Yiz*
zEettwEl;~Hu_Nn-XzMzvIq2pW5mcTFz^Z%xlgKu9<X56@Q?=a;64~t^;}$%y;ANbz
z)XR>-!Z+U(Ib{loq?=8<EI8nSXaO$yf*sAS2D^AZG=beE-zq8gYZ$@8D(;pWJ38Wb
z&SBSAWAHFNLeK15z#bL6t`c5kLzC7&@36#;;pVF?rY6eMn2Bs_Q1dl56i`8TF5PDY
zuXSUy$Xp{>u#{D2fHE7h8Mj>`WgEijmY|3Ce-B{oU9WQY;RN(cqWqxTvH`TmB(Pbf
ze8t{*w$-Tm5|H4fdlt&h2JkbZH2Xqg8J2lH<_kfafU>s|xH^jTLFKv7w;K5p++d;W
zJ})}~p_O>sQJHle?Z0L#;r<1$xgK+Pu5S(J_q?JY6Qu{Kb@L<HJ>T(P@jDA<C)aQ#
zl^w|{GrAy9?SS?d58z%#x4qxW5zw0e;m@sJx{#`RK$%bO7k*@)z=50t1hgiq{DP;C
z3FL(7@i5(C-2IsHi`dr$H0qSXcJBZa79G<9twhK1@u^rgaa}g_n7b|8zncN=uGyj5
z9+P;MU_dg@CpOd`Od*E2Gaz-Js+<vh8ebb|xo8^2j`Xx_cIFK0fZD=g$AtMAoL5l7
z@`Wo08j;eGn+?<fxo!$|5ud|59Gryi?BPUtUZvx%{5l|#f8bG1!UEoXq4kE-87}18
z#QpitBRcFNJW#OrTg2HME~}*$aU+3-$hAx(I`I4zb<;Yyj89i}N4m=MBBSt-FxzJ|
zkj|v>$R1n8)$;dII{)KCVr5#nGBZ@@4R=;_vnHULpIng-yamvC&y*{x7E}mRD-HU3
zf(>Q&>6OLq-hc|ZUY2>JP+-eBlTM3VcGULctYzZ~A=JA#rQf)y4V#DdoQYWBKyUGs
z7iW8gkxr9SLcgar2%OBziaE}OO8DLD+EhgmFTIKG*+YgZp<Jnh^W2EiLpYWcErts2
zrSGwIC&R?qO_zxoyvR;HbnFYC1hTCsFIP-!f$dqTIr3S4R1hA)XnZD#j`0vn<ZfvJ
zzst&Gou43@`+7;VF<2UP3S7(}Y}SHLp|;DHZ*D}6&p)J!_{ktr*u2qxUM;9N`*dv9
zUl?T#5ih@skwX$s>&8y?k>Jbuq-Og<5mfFpx4*ne0ddzE9RJ-!f|s^Uxfvp2Xs<=e
z`7e)^Q2k|A#n(;}e9{p6^*l}-?R)aIu4qab@m~)dsAAKClv;7JyqY8mb^f{K={{A&
z7S}8P-bM>}<Si!Mx}*@_4ypU}PBpX`U-a`}nHIdCSY^vB+JrpsrkZK`X&_IJ*t5^~
zlHrPD%d@=avS^%qu-RLjh`LmU**9xw195z)FZGi=68*{`W!96BT58KF0Wt+vAF$*`
zxRj75S9_9RJQ?*J^|vSbQ6Vjcq1L6VjFv~R1Hw)elo#<S?&TB>R!$t<qj_2dH8zhg
zNJ-Ps$lko(>^?eZ_{(p;{#F&)T+~)j_oO4?P5<6>jp@MQvHOEP8`M#QtkjetLkA6~
zyZKyFXTpQGtJYmdG?2^mg`k+<I%w;37CscYuDhKx*JR#mqT5cs)BD31i071=Mwx&<
z{E3dtTHqt0w_!fH`z9EOke7KkvDg3%q`b#-w`n0wuSz3H8WTy$6siYaG6FwAFXf~D
zWOOC_VaG=%6ZMyhyee}wfj<EuiaF=C(dOy8V9R+161AHyoZ4&#I`x<8%N!_3ZQuB4
z&lv{Ny`Ls$t%boAv(1*4|0w7I+sP!qJRLOFAN}d^MSz;Oo*T#9si@pep|a}%9j$cb
zB%E@zfNl7!3^SIBvJv@j*HbF$-n;AOf(Q$Yeku{hy{PE3lz`W#0y6sYL|3)y84JRd
z{Yc+dDCn6-!EWbMM6|*Cj=U1d5)2c`*UENKP-T=ZHYlKuMnm<ru7p@ZhNfealZ!TT
z$UM8|pRSDVb*LP!dTI$ZM8cnCEiy7CTvU|JltV8cZZH0rZwZVSW69j>`>r{z!RS9O
ziJtFrWNy7_3GInP;rv!av{_Mq$3I*c{pYQgBkN)b-eZP)lpkxL=31lh>N7kj^Z1a*
zTRuy$Ny&3zj;f)wy!r8k`zv^WRp+bBY!;M6@qhMWsG<NbOydM|47YVT8TZea1=Pvr
z!goQ+2sz;>O{@<8dMi4OR&4=&^tU~!w-r%nVc#La*bc0(&Bb<My9IDuS?xQ%M-CZW
z^kH``{)^??Y<1Ib0?=MQxI$-bLg(xh+s%unFt%IKA2&Dx%<qy>2st2$xO8gcE?k_$
zZa2D)FBM_%=u$uJWUd&h&9q7AT3*07=kJl&>dawq+rVBmstCF%-nCY8b`kR_a5A?W
zGK1|89-rd+ya5GB$cM(LEMfO2Twa{xH3NRt$d@Jsd}zt-9{+W{C9GX}G2kxK6i9Ei
zd^SvTA@Nt&-}81ZVu_#sFm8F80OQ@^!x|~<$kDe^sfV_Rc^>h6q43xk5_`9Q^449$
zeF}Ez>~sEyRh(7|Y8x<u4|$~2l%9Y1Ohk>Nh{povBBQk5o@@kzxe^?HDzo^OOP9%S
zyyh{t{2Myz!G>_aGpl9q<OF_0K9sTKKZpIKepDN6Gyu7eb-8N6fALfoQ*rfcvzSz9
zN5~G60W|Z*hG&fbz*TG%E!yABV4pvw)r`mJ!|~IToB|GA_*Qqvd+~xZ*bjxvOV>vA
zK(Jd_>9lM!{;aNQv*Lwmj1+A@Kj5qfvD-6mzmk2AGpkPd%L+|n{X0eSORIF@lug;+
z!$S#pW$<em(uXOGFIQiuOJ5iM+i4~Bx~mkEaJov^mN|tff71M_{2vpZ@8xT*KlKrt
z`OMxfoI8c7`Q2f8Xfoj*uYhPoMl;qIHTLY=*C}jm*tRk>lK~uWwSS~YcVI-RqJzW4
zX-r%3ScbDE0}_Kr2(q+pENa2w#LXwu*y3SE+2?#6xO#^-fsfFSd2qA{nQxiFz6N9p
zx9RBs^VeGRJG&oP6eZm#MPwH9rgNk^yr;uK@yG_0G=vo#Wamocp2MnkUZ?0e(1EPS
z<LlG>3p2BDr1@&hV<MLaYJ2Kv@M_1?%rg>yF;`FS@cPpWSW(;AE5q|th-!D0RXjR^
zC7g(R`)>3f=J2Qe-6b*=YJF>BY(I`+9!F0mR;DarnUTTR&7&09AhsIbkuiZ0p8u2X
z3|hg8ghY4BKh=g?mf<76=O(cS-ompNZ?0kc+v*ZXqhz3crf*C;IE^i>8P^`1B0zYC
zhI6$s8D3h|$2IrPU@e1-g|epXU>Qo46G+g4p~rhVPlnE6S+zwUlCn7fLvUQ>@4D}N
z6kmxqU%)<SD<_v2b3sH+x)N&#36|d-7!Foj#0(2%A{%G9p`Am6@~VgkE{QKf%XOEr
z)CTlAxSJQ^CNh4sXb@q}p2SH%vx;ejzbPo2<p<u1mT}oMO-PA)qOux50MR@CRkN%O
zAUs?ls;r_3EVF<99d&F_G#DTB=c5qJ?uVMx|1==gUb#PgJ!evfq>XyEia@&Jm*LZv
z8qh|eMkjvf1o7J;<b?)NKsAO1uLsqk#7_UIbSgJ|qpPJ-&WpnvWdH7cqB_I|2kje-
z<^{n!RR^wZlY~I_X<iLmb+CDR1O^`Q!?Ry+4jXNihP&Y*QjN0eFf8B~U^FZU4~&ob
zxdq6;>D`?i+)HYpa456c%1;QwHrbg-evt#k!$(D8$JM|n+atqLLIg^VkN?Iz6rphB
zQ&Q5h8fZU_c-@dB3T>?h6WWr>u=i=r!x{DU`lrTsT+tPWyWBKh#bg!G&I^oCJf#j>
zjrW;l{gZ$OBNgA@x@wTRZDWW@pE}&%S#*XzBn4f?)-yKa>fktAsX)7+0T%~qrdt*^
zfq$EWt!%X>>^nR){bai)xMjL+eXl16IfIGse!e0BZ*4Yt#eoQiORUrVQxza6z|`qs
z2^j(l_IxpZKmy^GBx&*;CHOIT^S4GF1r8mnT0uHwur^}y*GwwIwc;H9-vcxdevu{j
zPnrU*k?qSyZmO_<%&nQaM2F9W+1Ky)(ZJ<F(C_r`YOrvuP^@=R2T~=UT7O-ogX57K
zhd#S&0Qvg0O<unkQ11|Sbuxkhia{Mj(Q!?f{Tr*!R?LKq9ZueC#<~!3@h(*~hy>;p
z|4Conrwd9`))I}%`p^+;<o97-3w{Su=A~+Np~qv{c39UCRNiTdB^=U*l_g@~uSs2q
z!XD15`542ZvDA;iEDHD=t{i;SpbNL2N|zfHn!@v7%0d%P1)<gX$a-5{xRMt};9$o<
zk7C}@mr8@d^J_gG=b3QDPL?bG5x~n26E6cd(cz@uqKV*U27C<rIboP*0h3tsd7>#D
zCZ<|V%Ml$4E}vUiy32wy?G;1{lMX*)-7f1)Qeda?zpH6(mT-)A37Ia^KwAm*1+9^w
zIQ3hr-a3bh&KV0F)uVxer)ouMhdLxPrniqCw1S=T-_`u(sUY2Z$ulcg8ScwuIC&&l
zK~~#PX~A1<a9(OrC1bL%di-^*=Upp!JEiGvDo2K}m-t6|kr*saJ^#KtzzR++L@m#(
z>v(ZXaoz7$KG+ccIf+WP0<9Bm{`Lnn!FbO*k&wA1OzmzW*YgjS(Bu^O$ZM}USjko2
z-}ST?%PN04=x=8UrE%{Kly<3t0<-@(@1}m-OChzup@9Vs)6IB+wKAv&Oe(AA%;H|z
zXQX5-Sn&PZ82whd0)$z_mp!jp!>_Q8@$PwL0k5a2vIadeaLL+LUNnmX9lbVEd`!av
zif4~6<nNLKf5OzQMJI0LWq0>#dMd!5qjL9K7scS!?-&kkHC|+!b2s&Z6u`aR96gag
zg`p@U?IO#94|(?|bzGxi;Dqy8k~IY3-XHE<Qac}#wvu|4Yhn%#34dRHT;ql^q2kRr
zA3r)>+2*rnw;6<cOWb+n#16+l#DuKP@gYhizD7M~3gpj2BBxo)*bX<Qba)9L`tXPS
zM&c6_c$#Ktv8`wZi{m;RBJIY926O^5YQGsn-}cFQ!NFl{u{n2h^a?NXZP2X{l{E%s
zQJ45n$-UT}m3O|%k9bk5l+X7!9!9{p{p8i9iAro=(zh=GJ9$y^*+)w<g@!Q2Eq%we
z@;$DhKHyj_#EY(OtQ|-bFofaAwZgjcZ}=<W+k0;f^B}Zmt4x!(0aUrLZP>;b!dD6k
z4=fMzphvp*&Y3pqLu`*w-;V7gxPab9s^A(ADj!#_Ni@`l)Jy$h082o$ze4L=868B3
z-eAg$N?5x{*R%D2WJxSiIy{3Xc>H5S4|vh!*w~Rdc|E97W9N$3p2w{^cCljB`H-vg
zs9V-uUHC#)M$upX;cr3@wA^pyLyB{HzoVpeL06{o&9?o^c-@gWTgiNW6l9p)aQOif
zCi2-rj9XXnD${`}+5ZGke%E39hwJ`+tUBxTaykL2xD`M7)gg#}_i?Uu7c;;nuHjc%
z7aIx=nqU9v8<B;xPrb7Z10FZ}e@Kw!Kny?l8d)ra9^Xh$Ar9%lpy0FqV;-ESf%PrE
zy+|0<>xT%1Me0D_o`-{crCf+R<)=L*M+5~KMBvFJ9S}e7lqo3BgS>xPnjS6|Mb^S5
zS+85^Af{DgI&zyAwM)4c=k<u8c9hO$5lshuLi$@l4Spowu|xlWssswo>hw!Br^D}@
zc1Fc#0VGH{pw|*5iCWqhKBq0yfbC>-rESUvbgoSyGKfbSx#e|f%*4^aDA?U)IzkAM
zeEd%r=4?Xm>!qSIv}y3)Sj{fKT49tjq$1zuCyVxVo(ntNM+KABjrAfwM36B_MTpNy
z9(ihoZdJ^o!sK@><BzBqdQ5X==^s)=_cn20^08E?|31I%h>JK{Y#uS3`k;jFEIIxi
zj-bL$!MeQG5(z}P2VZ#BxiYEsbC7=u6-azJzDH<MXzdf<@DfE8xexNq4L4EY(Szq2
z92L^2UWlE4I#><K$SdZLlV}iSBS5uZ=iZ1_-{OFFb@XqjR^m_|4R&x_+ePWhAptWn
zBg{e*xxP6NLD#0k`Fl0GJ0%s6+YzZijUpnNqv{tvyhjHfXGzUgUL{mqW!Kt8)k06w
z2b`5ub>P3w<iUfY%BYBb+O#2?jLNoIHR2z1V8Ei^c8`V%8ofGla9oyx2LC*s-Ex%y
z#V6BOUb0jX{}bK5(o0kn{`S=oAzvnRojdfb=!hDs-TE|IxQ>Pl<CzY%e(U!+Sk~Ab
zqmBv%gD;exr=w_~b}|$6fRmu{xII?`J$Jm3d3TbI9C*fyd)IZu$w)K_sn$eKl@6+~
z@6bU#!R3K{BtsyE3_t2@CL#kb{HjZs4!YzMr<`)%2$Wg2x~>f*#BOZzJSIj55e~j+
zzb|hBeESHQggh<8;aYz?-c1KRuGUa~k!1?zLEHHrc#+Y?cQ!3j>^ew<OX8FW-5h9a
zYhQOPk<qJK|3d;N>F9C}-;wq_43r+Sl)K%uk+!eT{$I8<^lE-Zr1c8Gxcb0r)(vgs
z@A_bJuR8_3vYHvSAX-3YdwLpItTy_FBJ*QZ*ZbtTyl{AF0kJ2ZC*QKxMh1GK+hm>+
zQQ)EeV?-4e40EP<ooOPYCmRDdG_0wk{`v$x!?P^7Ufri)sYFII#v{L<ZB<1xc0XML
za#`RS8z~%*X`!Q&Zlb$xDWU#6N!!iuSuje~qK7d_=(5>yj`3+(v}$LY=v~f&GM8k+
z84e<f2%|L+#H7%X3vHZF9<yNIqvfOLOEi$Z&NgX|N1~{Q**WHZk_83fCPPho)R9B%
zo2&758&IhN7j}ZY&X0sU32`H;h;U-eCd`i;ZJ%WEUhlL3AJIPq&5J5XFw~yU=?(#H
zXLIkgxo82W&X~pQ5LQN<$Ho#^5%YMkSz7y-O%_m?ed~<N9!2E1$92Ef$#L9Wy(g>g
z1;Fd`ozK2!$)QutqYf&jKXAS}>(WD80UEt|llE_tK^Fr*=%w+r;)@xq*630UWRL94
zR(&Cb`n=44827)yTZZ~9ynmPjiEZ{p`DqDcSof?WQz{)xSC;E!ikQQrCJA-sAu;r1
zo99!9C*>H{P%tZJX$JlrrDm*P5hToUBR73p71m=|GV&|P6wa$2;NKB0gevpxPTAb6
z!Y=eYPh>APfxWrUyzd+lMA`3NzUa29z}7aueEDGB7@X6~xANcTLmUCg!UR?^<^UG{
z$lMr;N>=O6D)FGZWfcJvt9LM_qnhxZI3qatRHZ{^f)nL$lp#*wdAMBDqe`=GLm=PC
zn;7NfKn?C^O)vCR;NyEsU98u0*HiAe%32pTw8=E0edP8hJTU&U&(<3Tuv6k=x@yZB
z-qzfGBxbl3pJSE05SY{lSV36P!4>>W0-jiJ{2do)ZId|WtPj0^GJX#4Si;*bTv#^!
z+K1Q2Kdfe;b>8&u>DhSuAO7L&x0GX>2Js|o=eL`wdO)rAEtjP&;6p(Y$*+$6!h4A?
z`$E%nq3MHJXtUTnj#uXwNmc#DhxsH|a7kV0#<#7!F`dI>hE~0tsbhEtO(kyZ1`|S!
zl9SXkW^pywgPqM^C-7GLo|x&4OqiUD7bR|<#q0J&xt63&;ma&;+qX9uz@D_|a94H~
zKRmM7zaeA>A0<1U*OO#`<-D>9m)b0DV#`($bZibcY<SY<_(%s9k_#3J_Rr#y;6JkF
zyMR}ybH)p4>%e610NW)riw^~ksjgjH#P7BZ>$;WEq4aU7Ex~>c&nOBu)&8`MU(LUw
zU|~lGr5i))dj;q5R6fOzHyLaAxNlaVUlR>(<+WsDQ}Z~pz{hf1KLMpp1X^6<qJcRr
z%xRVVA3nXnv3kye9d)cc**?pnf|Z@z%cIyLPPaSj{-cZoMI>pQuD?P7QD^t|PuWYj
z`?DRKU!A#-d)L2GtW_Iyh8Ok4ELLzYd%+L&qCBW3A~_?8s11Y&m0h>_*YJ)Co6*P_
zUi2&~PDU<@44FUK<YglXC`9;g>*^XmlAxu1wEC+B_l?Fc{`Zg#?OvOo4Kdn)V$Z4@
z+}f)Jha-n2=Gxd1$;ISRWTp^e>Sn|~|4agdP|w3;8YhBl_8tLhA}C!gPy6U@5?B-@
zTGr%nq3k<#u`ahn5%<-vJ~{nFP%D>uAHIzT1+B<%$*PMZ<8$*e*%yfLFzn@kiwGZ5
zowzuEwo?LKdT>0rR-Fj>HhrX6P64!m&!AqvPzse#m~SoZ(S)6Dq2iGm8_>Un-ceHN
zCe(O<q<B6@6ZVU)luQN-AwHv5XLx?gBF=A(!X7c2Acx7Be`Xg!&Hmw|&RY}^Vhh&X
z5~>N|v(`<<M@7*MtL`TmK1%52-LbGE@tRQ8!8wupQw;IPYUx?lE2HoFHd<H9G~wD&
z<0AH03H1J4#=zOlsz|NW;+oV3BAm?lWVgC=eLnqDF>;-1X!p&Q1pX)@Jl5@gB4w}%
zUGAN*bBxkJR0*+GHZ2l7)_Za1@Mc+bgNNgtp*0bm@e8unXV(JH45?0+AbIpCvB)<?
zK?@Z=_SxwvP6k#8>F={<MdTBCbt#iW8%gwA8RUCu!yISLaRN~pU6V??ku*U;hF4a`
z4LPVVe0M!cpI1SoP$3n|E*hHWc-HlIlm@=p?To=zRixAZVIioSj{I-&_I63?!0yq?
zlw>n?g!(kn`EVT+=Qwmc$b$jV!3R})^EHr!As?U8RR;3ddO_t$Hxm}lleh=uh^S^v
zY^qV0iFz0LruRhZLFi+n$bHcy<oSs|Xj>r@?cP|%rR8V<_hRQVQ~R{gp?e`8F0U|=
zPWaf7vMojsxkK8nLRlNl+}Dkg<km%-Q<sW-98AD}dck$ooPuPlx4Z4HW}-d3-+Ih^
z%%Fj3*iNHR(H8T=#hH3cw2-oxxHA-kG$H9*@%>cfx$*4-FDC{<&XpSW<p2{&KQBf*
z(2(;$#Vu~44w{bMn6@p)0)`%Q8r%w`p^5K)qt?DOG+u4BXm*|jTXMEv=U?~fG_#?0
zZy9YgiHDu4RI-H4hi?3O*h)p(JDWyJFA&kx-O;nDX_jz1Wz&mv0V>KEy=WNuS`A$g
zP|Puyv4o%Ox2wAUX``@nWNC|eCB*)Q71AVY1%bb+eTCL@(yr5+9@M^&LDUm(0*EqJ
zkhn`do2;ybtg`Mc$jynNQwNl^+1Kkdwfqe^<4;7cGkN*B9|e%q{&RV*&nzL5;zPWd
zseuLt>}wblHgq&Fey-fX5+W$=Z}E?6sL#GO=8MAw-e$1%Y0MxCRzn&ynSWH!?~=s3
zIg`csS;PCOmwi|;_sw86dxJ76FR^#u$1{X6DwB$n|5$)RHb<vZr~<NX;?sTpc^VVm
z?!5i^Q43%@_2xT2uPnNEOf>CF(;_BPV_#j-4>06Bl>Dqh3jH@+;F{63hP`z&@ECLh
z2-&D|CFq4Xg61~QwJbLHu$o;o^&W$VDc=vRd=o+EAjE6x9Xp)D&WmR@nnPQ1LLpq*
zi0rLy9m{s)0LfH_;IkiQpsUwzE>zBkf^9f^{)^*)<c{%I+u6<F6Ki+u>Ip8ic(gk*
z`yvPY4*&rF{}h*ZIMweP$8qevSJrXNa~#gG_vf}!l2ytU;!DFyA(X5l(l9DfDqB*@
z&gVlY5lLB5%FNzM#?SBH_jO;-^*q;e-}n3d%4qK3up#P$Y{*}};$&K^>8O2E5#V49
zKk&)fSr2l%zHw$qZK2uk-@hoBpaUCmhp3q}T_~xG`r<#fhIaSNd}p{s2c~Tn<$=9A
z5WXF&c=PBY`q1nsjU+D};6sF8x=QN6{xrSpN7w}F7pN@wu7nnx#E&tN1GIr76Is4C
z^bO@Lb`NQ^r3J5SLX>xl797WieDX7Yj~;PsomODkt2Z+n$ii#Eh$Hc6#@QSssqO1<
z+gBQ3nB`+X7pn;@mQB44n;l5V<#zUfS{nF|U>uh<tpV&)ESEic2apHkY8~ks8o-5`
z@_jz00r$GtxlDO~A&y@hg*<y`U}tBx<oi2yNC~c6vTL6}m~lfBR;;w}j;TWNj)6Li
zq0hg~k!BFz*+PjfH(KztSJMAbr3QB|ee(KkzJTPZ4;_2fO$#}XlH+|e)nG}*%cJq`
z5)z`Okx}kN2j+sS%eFPDkbEjEy*Y9Psm(+-o(tf>q4kkX6sW?jsl}D%<7>zdqvsbN
zPvPKFY^BIZI~78N{rh()8wl=AaBayjJ>(a}#)LUjLC;rhSC{KA^5^D1Zn<>^nELHi
ze`tXMjeMMqV}CXg*0f7S#cE72(rSFp=PCtWEv}?Uu5KYuhZsKz-DQUHaN2}n0tM`r
zg8aTQ?jl+OQMKu^tPo_d{wF(81vo5!iiKp+z=ti*@q6Fdpe3a5QtKCGh<<f$1lK|f
zQYrI0Q!N}|7Ro@$R#XNHg(GacbU4taDrska=YkyhtgXCjWH7kuqhsSh4;?FN$8dr?
zFqwBZDsEW`zW$V^UwX#?mqNajFFEkSE3F6`T3;o2#prT);V2Uj{tO6l*75;^L!39~
zGzm!GU6q39Sm12T!pGBk0wDg2^XI2<5_ksqlB;@HfwYreN&O)Riv+KdJYf=iNZSq*
z>tF{L0^iFU1;Q{c#FI;UPlVs@X2<y#IN|jO`9@KOC=icswOA$*;axCB=6%EstIr?U
zUoR7bya<Q510F>9p)#U)_9qXVd_Z%ZZb<@Gm(MvjSQEk1RW!)WfDZ=DXg)POmx2{<
z*~n@KB76u)dUgLbKP=oOdY#?I!(mRo_}7<-u;Vy2P<==cUQ>2&q<at`#2}4WzIUJ8
z#MpP@w89X2Rk^g{n+#l(8Q~&mlc4IyHtAQd2wcy9DVKCg4oc!#0~mWqAYCA1^5Ww@
zh^^`jo?%k}$%ymb%{fZoKSBHY;kY<3DhsJZ)+@pjo8j-0xnxLta(`=!Qwlu8dJhJK
zlECIdry0wLGF%w~$#`8n2y19>BAR4K{&uSQ8HEDULk_+(=cJ)@;f-M6qB8uh8QnGz
zpn`@oxq7ae07CXd9>s?#;Lv-{YF1Je!q`PPJQ!u+!=3EXU4AOemdu>P+o{1iySf68
zgB;X13NaVAQh}|eL0X_x9pVOm1Q!;{!^!*NM5>c2P~u}fPAF+Ymw9?h{*nTiz40Bp
z)~X8YC#FMFyR=}`p?Bg8i3qA$|E}GoQ-cbl^s2Y1I>4xs@Y44%3D6&=1}h9|z)49f
zym(R%LP))v?p8|RJgP2S)usxK%lU6^8ympCHy%BsGGzGd^nG9CK~-pDA<8@vLtyjT
z<EhbiWY|1&_O41C73M0qjRt}Mv|kH*JE$l_dGPC|@<<9C?j_|BOpQRRzItups4|>8
z7skOFq73NJ8RKu;M(}BUrn*>N8CHlvK0G%_plSA{4!dg%oZr@zEIyJ!XBb@6yc8fh
zLp$Dt+XN13o&FsoMFyXw2;1kpvM{e99X;h?0{@lVOPx?v0=n?{doJ~Ouqap(Ka*kt
z<;w0)ud$J!)7`!*@1Gca>d}pUkY)lj2WCpnR44+x90=4L5rk6b(sLUZ|9_5fe~-EX
z$f`CRIcv!SFTBM`1Tz!Bch;%K-j{<XE49YPFPR}pWIEjCk1^1c7bgfW$iVtL>SGRB
z8aR2gjc@s$F&LSB-HFmC0B))+plospsUGjRGNfz_G1s#j;;!T2Q^V42pDX>y*Ygba
z;dMrk?1$H|ekTcW+4zb;h7V|Kq^GN|i4o}55sF6B#bDPg-_vS)41ML=T@lv?;3J$F
z%#bVsWxY3y-?uKH^<AaMm#hIaTeFrAl?wuG37TVFvw~jh@k;kBN1)>YE&DPfKZv7d
z2h7da(WkE6f{Cq$z@w|OM!wAhm*VeOvUYBujtOf)NuvgE+RN#Ya2_Y5lHRqACHz6D
zjbXbuW&;?rX^%<0!3tlF#kIqeKWOVSq)kCxADHy`i>bqmFhi<4({1?&t#}9`<NxVF
z-**bjpX)gAjL?Y^%iloL%pXSmeXI)+`@MAr(`evx{n}^E_H}eHJky7BTnA{RvcI1A
z^$!tQYT8NryoRcvvS=e&XRn`lY3bEBkiuF%bm-$Mn%|u<^gL1<8d{=e<GELm8wx)i
zOFpciSM&b-4eQo|R&AS1mM`;&+t}R@i=Jh4ZNds^CTT&W_X~PepDCnxcj}(a!V+p?
z(JF3qT@yA#{A!pRej%l|gMTT>ETJOqad!(AG~j))_N39(Z-`M+Uuw?zMRb>cWwOda
z1M+1~ow(fi8Nttq+o*Repa(SY%{r~>;BxSB!4q67l0@IJtT#W8mVfX|{HLW3QJHiJ
zlS$=>TbPaTqTM{29X)xx`<WUXW$b*@`28VzqS$JCXLAnSVA+B+c{M0}mECrH>kVoc
zn{_N<Vh*j;RZ79<sY3G+UQ*KE_vpb>NUoc}JbLP7nS_&^Dww8KT{P$JMh^^JNI8CW
z9?cCpyM!;Hf{)w5+mSY3(Xq5lBVYXm)UH#l%3X~Lw=4?A_Sp@fgj*_er$iUgNY~Dk
ztp*Cv^Zt$dCqIlv9T1Tys$N7tcI9@A?(MCjM5(0Wpb<1-y!}#A_!7ElHQ333seosE
zC_-=X3*|cfaAU)D8TE3ndw+Xc8M^y&{+*Q>LwEI`nNt2+K`-ifzqj3|3|_;-;X_Ol
zs9cOeVOPc~+R$GSO0*-xv-5I7E1Q$(ljkw4ee-MRd1)(zB~=MH%U^p*(odu9k)fk6
zgEml6Nyerh-6WXU{^3)hIEy}Dveq${{)@(>M?~j|lE6*xX2VX<JSt9rxnbNtl)m<F
zk%J!*+?(E>tO!~}TjvI&Pl#@#d;0*t`$iGA?=~<ZO-pDdN1ea&sa;f(e50X2SP?2y
zZpCpZub`{5g*PR)Xt2evl>XD<3XrBaYgJXfiWXfl0X}a!Y^Re(I%q^5=whCVa`>#H
zfy|weTq`(CiT=pa%wc(`JG(e6t@{V1i<BErEMmY|%sMvlO>%IzGpgQ6XA{+UPt3AU
zX2KS~%{)45AO}vaYu^HVw@|uvJ)XjcEZBqT>3Jhe7P$Hv*sgT!pk9d*B=IRW%%XnT
zUFDE0gs|Mdp7NRo3t_HPsy)StiTfYR{QX@9&hS4)@UnE6d&+h9&<t*@d4O5XDpCgg
zq-pmVR^za(+wzGAMR~DVu7L3~GBVKm98R7JX25D2nI;$C@?kHZ@-yD*Cjb|VMq2Q3
zChSrJm9;WM0K1TC_1^M60c32a|M{I}!SuPG7tm!0VX-ymj1o>0pwQ1|rtl>jRyoE#
zZQCM()wnM^C0G&QK$VrlJ1QquF&K70L_rL5rFs97W&fT|;dgGkz>OXK935TID1j+X
zrNR+=0tjEdpLc1E2ODz^I1%wd3d>65wt{E^ygDEq5R=J=eOi2KsAVUOC5KOrxwI3&
z@lZXJxw`<S<hy?Q{T~80v7c3SLr(@Iq}^@`TMJ>9<vp3^4YHVN$?FJ}ei;~=%2eC*
z6~Xeuaw|u2<uQ8Q_gu6EvhbS2Tr{j~A6EF|wEm@BMeL)L+O}c297rPj)=x`GU@j5O
zN?tW2tjLA_a@3YQq$Ix;b99%&tZ%Vcz8)oGQb%rn`<|u<V~O>?lW+0Z>hgxj4jTpg
zczZOsI)(&Mvs#0oPrx>cGfJ#wso1~q!XR818ALs2_zPNOuq9s>vaY5oR_~OQ-U<}x
zbh^^E?JS37oK}?6*HFXGT1Ce#bWveFSz#{auRIq0bclXdP#sh7c$2x1t_DN)abjOH
z6tOjmai>nFI(E@;_PY2j4H(%C{e6~5!m>`9meU{Bz%HBpi1Dn~g6!Q7XQYahuqSby
zv;6TISlh&r?Kn<dC~^({LS$6NDhEuXBK$NkU$*wsShzj}zv7VWR8zs!%Zjfdi|UxB
zdBX9L8AE7QWY*^4rC^yG9ry73d-}ar{i_84Y2kPkes2oqyWil7M6W8wRDe9IXfXoy
zpZA)gQYaXgy+FrdLn_vk<HeNSYz(aSAJU_)QZPYBD#MK`Wz77{obso8Ch%c5lfl`R
zf-MPhjr1fCF#^$}F3i9bDBE^Ir~6c}4^)4=%RV_QV94;dNr@@Y#&>w&DwMIKS);dF
z3h<b9<V1VzFH;B<!_LMbWNcCXw@~wIQS8)km<|1;DUeuSd=p3_VJCX<S=p7m*k8W#
z6}bje_;6~l=>1+FBxzJVJIKd`X@p(>uoGYkc#&?6qZ#tp!pC+RYlAhE`Rn5}Sq4-1
zSyC&senA$CMk6C;=5C`kQj*a$2__KBHE{8^EdgU4d>P8!x`+s)I-5M3#_-jnYg$Sb
zk3BMUZa!wTgEUxHYGwXs48i5zHZ7(Sn14pj@zMSC@USCR&bP-1BpOv{N{@(QxL%f)
zN8HS?a<Ht0$;b$v+(>6F%@V}2BRVbnYFHsTv-M>6O8}SL*T$s;J}lu&9N8;^9SUEp
z*s2l%Mh51D%f54AwMy4c=U(H0E{1(i-diJ}ow8%=yUT)&jJ!Qz$H@uJKUFqN91LOT
zb2lNhfF8S~vo3f-l@q)wFV#FbYXCWHXU}^-*+pO7`}$OspA%j<nnhWs>O<UN|A~mX
zbu|0gDA;}E05@XnV0gVAIE!^QGHK1D_Xhihh`}77>V_;Bt?EKnJCVqzK7#5#+CBP}
zmjliVnG@PHbm5EYOxXCLH)!QCEy3P8b|??jHGpUx2*D<63-@;-emlcrZ5P;qP}=G|
z|5+RE%KvN0%KM3M+eB&qv0#T~*|URcWNipAKiec%GmVJaumycHU<WTx<$|OeT9BlW
zeer(S5^}M0@Ne7^b~xo*A{D=`3CObL9V6{EM18xcd-Dc6TsjwI&~Z`|?n(=}pe270
zhHzWY=w)`8!R1GY5A1QVt@y0uUT(Qf*>(SXnFGjgMyC!O(Eyp77hEiV?;r&o`YXq@
zIYHv3aF9xmI#}OvoMoS+fwkvm>n7q{;FF+`(&(TL(eZElm96L?Ka%a_cOh<&tYC84
z8C3(ueJ>4Tp5tKCE-pNznj3BnXDO_NsKE^rV;2E#2CzzgWlI;t17uZRr#dz@n7uId
z`F;o^#8VIVY8dlE-e;u`(S@oYB@tM4{wEW-tSxkPDe*y8f=*=QAyue8mf73v!~#W)
zl!s5L{Ghd;{Cs1T3TJSQ-Dk#FVO+w$<i4!{;I(AU4(Cx}EU&vkDux}{mUzzPrwGE9
zXM6aJ3l**lmu>iJae@`Df~|Q%2t3uCf7pvrp-BrJ>A`VBIF9b^oT~`jDQM1+AESVE
zAK^8}KW=d6>^#S{Dhdmn$}a_8Q^5F6R^>b$FAP0vW>_y01EF8qMN6p^_;6%}V?m4$
zy1w>?=tfI`-m?RBCFd#dsh5ABzXd-??C<|_M^6eKJR4@W|BnJ_D*P%*7J!U(Yt_T%
zcnA=e)xrBvVC*_;9Xcim9ObztbDq*5$8~?h=NtuU1+>3iKOzkLx0vr$rVzlP5<B+r
zCI#L}H6MRAAOcN6jc7ot4DcV)|LuuVpu)k~$TxH!;D;ZHnX$=1CoXs2Nm?ohn|WoY
zDv86>Y1gp=M|oJ{@_p;=K!uyjUKGDS5|Cz_97ZZr0Dl3i0i`|8GuZKe(RxM-x~i|(
zdC?Q$ZJEUWGnT4wX2>7+%Lflvo4i_@kC7l(SOY7XRRs@z+L{GlX*eEsOzqYl$L^<9
zVcb`!2BN8Lk{y8rNW?^|I(x|QQKa8J;<7r_gs&!7M#w;*qgvFlIc3N(*0CN8)_`OV
z)daHyS>VZAd`a_D1%CXz@X`B<CTLC#uX`lRfs#C3^QJ8YDs_?$s26F0edk2FWuiP>
z+OR#6mQI2FCb(k$No~k?K3-5BssJq?kBZS$QegF+{ev@_x-e~Q^S0Gi5&T|6&)qDe
zz?HSIP~}^C@F#s+B#~#2<2eZTOCt7i=g!sLg#~^1XenC#r<@4R`j;(q_EF&Nnr4fF
zg(2iNSX2cPN$@!9izC0N3UINXCEd?J;PZtCp0wd4xO#BlnsPoF9{f%fnD+*FCj02k
zhr1*=`7-#k{3r>Y1~0H)Sp?`OOc+{TC4tu#S9{X1B5b6V{lNcc1Qpq_$q!9PfSpc^
zhdg<htQ#F~Yc+y~%8yIwokZCA@UHEYr7W1;q+ChhFa`nh2h$ZqA}nM{MAA=4gUy90
zw>!GVu#o2Ynbk!R=0AMV4v&+9>aE@V_EyF~>e#%z_MZa0*ABST7AOX~U!F^7TNpzW
zOSLU_R32V%FD-ziFzjwHxrI`UAug6p*<4W$uJ}z3dn@w84JON9gE(U-3fW*uo0Wlz
zqff;TW^)5CU$<58J0l2mdpnVkM*y;o$?YO~HZZb~3Oatt2#~`1#1toKaCN(Q!srzP
zkcgX<DAJzpHBa>C!Gjnj*+|NS7Wi_M{8G9BZs8=!hjJvre|Y7F^nriK<`@5CUxWAj
zVrjs%Ohp`+SEm{SlhzOtY940D0}#CXkUMi&6l&N^*L7r;kT_(eGS>xxM;G$V)=Pzf
z-b`BG;_D2OTen~qnqdgUx;0+N6$JXCV8uzFNyMt-G_I-J0ItNm{&cUNAHE-2zLW55
z40%xee6p3x06hBnXxVA_pmWX5(don}((6&>=54DF!y{d_uTJxT+e5F*O@^b$6W6h7
z<xD-$y&x04u+0V5!>72KxW^E!LK*#wKXoCno|Dl&hyxDtYp71=k0Zxz|K2)J(FLCm
zCgvBE+2GKfm}k=ilSnm_W<51d2Y%@3b3diBfOwFP@oeHWa`VOC_0l12P|DBO7`ng&
z6#}ORyRzqy@oZ`4K^<*i@jv)y<1YhzEO>>gURgwN$5JonWof}hWnHAZk{+7eBj$RJ
zE+cuZ$2|VhYC-obp~1Zf2k|>w(sX94$i3N=$LJYN5D+U;==w+p4=O6?2CdeS0kOxO
zqu(?@>}PgzsuUfZx@jH4AM^+L?h+_+)LH|W^H~N@<j{h5-s9QUl1*fq62VLNP96SJ
zEK6`Qr3Idt7pKWI+sNFZ7^zWXbr4}kB^J48L8fs#BPwtg8E<#|wb-Nv9N)V_S9WNi
zEkcRs=PnH_r2k1&G*^TEYF)|nz51%g?#}NHbijCS4Q_U+0`8ewtQXKifL>a^UkeVr
zl*@9-E~;?gb-TgAo3!xeE_L#sIRhjv)F0-aqk=T8Ur*8wEto6DlWj&Bq5u0};o%r6
zI9Q}fHz&~nK1#RD?LIR+nNMq=+w%+GIk^|(>Nwy#;L_s|$O=k|9FF$26d*;!EK|2}
z@Hf|}CEu4FlGin?&%07!hKc8n?if9Y*om!=C2+#V0|%ZQ1`2eXKGHfo%>c|h^G^f+
z<A$|9qjidp3b>&U;!Sv&fbA4h=Ap+t(6((c9^Ro0zvQ#C2c4PWt#8gO|2i)ei-%Rs
z7%GF{JFDaNZ7eXHa`4yONq(5e;XC3Q$RPE8J|xeD4J=sP@U%+;VBE)X{+uNlew@jY
z*%0D@<-f-B;SYo$Sig-&d|C+tdz1o-w>crIv|~EdPXziqYktb!Q-bONF*Dg~+(6(C
zJip_(4@SE;0>hn^pi!Yo-l&KNM0;3bz6XfI&44`LBWg;J-=G+tFv<(9A)XKJl}dv1
z&*+l}2udK&Q!#I&%@5g~6;?UScxe1@TiZ%m32Z`4bms~MU_^<|SlC(`I;(Qqn~p2N
zQsp4wnx+tVfcNU<A_8zemPZ1gD1p<!MIMn~!Z1AS@PkQ67L=u~)g=q;y~{6A$-Gn)
zI$bnuWi#X;X~pqc#Y-}%|90~@kS+!TpA}=>WfZ`bymtM|Wn~CTzx$--fdojcdP|Em
zC_-}0jV!?!70{~XlBzx-1xB$}xyRf{AR1ta9CfDva}4{@$I*C@Z10SU-%)~R_wwWn
z#i`&bY0hz`R2n2d-R3@&p$rQ$@9wQ`Q9-0k_Fu_Q0-Uq<RD8)nfuC7YF~T%zVApfK
z052{JQhc8;cViTwdrq?yBCigAM+;jYILQIMsaWuJS1LHw_C^)%`QY=1ztZN?<l#vu
zB}Qk63U~3+Tx~xzVPz-z-Dryfcx76!epgq8q?klm_S4$X;@!vPIiU#mb&<3u?y3-L
z>`IE+<0kdX$7-+76M^w)|MM&Ms!-{}UANw-2WadgY3^PU)Le3A-{MvU87Av{%n=44
zvw7PvElmk-T}^v9af1q}9`g~`$O!yBW}T`bO@=U(?hAJp1$qn~0Iv@K)Bet#ePLu6
zAl+O)RipwJdVLp5WQ@SLiQxz9Ei$B?8Y#dZCIe@X`8(qdBk0TAq5bYhhIxat5dzsn
z_$hd0H|e-BFgy__j?j{UUHaPm{0n)AIkNxdt0rRzo4y)7>!bt$`P28f3S{6~E01C=
zn+Y86KmYpZp3nNyII_y$#RIHGI$lsU0k2su!Bj6IoM}f&FavSuTspuJqiq7(#{1q^
z;}zktAd-%IECl}4o;N?GOn~0~k>yUkJg7f=D-v{x7fi#23^EpsAzC%ZaK}&%<Q7b)
z;y$y%tM$HZnIdDj6Hz0j{Xz!XS`zaozTx0M3!EL%&KRZ`i3(|A1PERUvX0Q*M3Umk
zymSjj5IyvHnKcm)_cg*boK@x#m3AK0<k&qvqHSFs+LQzr-;Z?~xBHR4F1vT^d`4iZ
zXOr=GM-0kS{4dE&6{BwMqHKgm0NDr4q&eh7!KO)<DeiPXD(qa&(X9l~y3+p4H&h5B
z@3i7qK8~U{lD9(lokw8P61z6KzUR|ayZNz|Dby8FdRUca2sPBj;=X)dDBUX4!tI+y
zg_b29-qsj^-Vf3H!h7?+uW`F4t#}S)x5p^EWBTyJ)z0m*ItNrAIg);7YYxp-d_3MF
zs1NIR%2LOxSisPyV>Q=x4!!jPS4*<i1L^a0NA_nhf)0zeLJh|(`o#M2H^Cda&`_gf
zc=ZDglyjQS8yiid=<(E>wmmwaWy2gcV?_%rGSa>$rKeDjuFL9~5;_nR`hKBScLz~x
zz3J%oc^p0byI3eYKpV8!*Cmg*Zz3j7CcOqvjiUDnHu}P?S|D*c9yzwVj-*w~X3Fo5
zpi(k|?HFDQMk~B(hd5UeA=XJK)*VLw^BJ2x5~B$;+cC1YVwMp9b6mW~bNW$pOZ=_0
zNevKRw^4lja2|Qr>o3Tx`2`J6yc2iGRs$AAT`FS+rV-wQ8!o%dpU_LM%cRUvb+{aP
zthM~nBx1*(CKs#z9-U!oYIdTkLrmM(=EkuxMD_f|G5H=0eXC!p<5r*siu7-v&1L*T
z4j2vPle;U>E`cz9GF}Zf*?u?B6ptVZ^D32U?pdhC^CCiijw<}IBh1{8`Hq<K*AFiT
zrz2NFROgB%RYA1U^YdKNH^esmZgAg3IpUvhfJi>2LKOAjLAmn-2r-BAq3UQILRqTo
znIci)O%q3KQBNOI?{Q9HQR^*|s(YAWVJ{cQo}jxRey<l98SObRX#XDZu1L8fYDR%6
z_7o>#?N_9%@Ycqh(?=w%-0*jC>0Zti7GOL?{)+T;+0_0=>PC>t1}}lH%CL@m)BR}r
z3o^Of?s>bk2O(*XW?ABtp`>OtqJ8EIQg20z>(K5+Zpc%-iCSckxNczFLi&mv|FmAZ
z+}DqctLs`M1uB6wI2?ML{}oZ+?;!s7);DC%y)*jYa}rQBE!;(&dJ$*6OXPL`?}$qZ
zWorKl5mqIQ`{hmhkbcm4l~p%_e9LU)_R=Q;THR1$c(NZ6sIZqUar}iCd>gThPErJf
zp4Izq?Eq3S8app9IEIunIk(3QD?m^B>g2%#-w?WtNyDzSaRl>MueZ@qfWI%Bdi1!4
zky7`Iqs7~kh!DN_mCv{2!Ad&ULyq?c!rn`=lv0~U`X6}DEHBG}Z(f4+fxUmEu1!3r
zc`%Duw@oBIbdUolw^Qf+=6)hR`g30Q4HppEzCSE&O|lSBCTz=TKZ^JVSYhMbONe@}
z-*YdjEHt083pd>BAJ^jQKS}w^h(Vs+)PGN9pxJ}pCp2dQxu4T_)#>Ca5>M);>)9s*
z{{sL3|Njh^c{CJk6o<3#*~Y$&F&N7*gRwJrh>{2?skDoPHuNQ=C=x=EWM7j)MWxhS
zWl1W^UfDxLWl0<P{QI8wyyu>K&ig#SU(5OSKlfrjGpTtx$KN|IFs<`Mg>PI{14hv4
zqTs?wX0N0`7SEwyO!eGbL*Hf8;N{gunbzM^OtFvChMrIVF#k}qBH5WFIBxqq_ejDw
zrqtZL=!o+YlXO=iM_+>kYHTIx4+b;Lyrm<jZiugfrr`cO-zrr&KVA~_p?;RRS(#^R
zWF7~kO1g05u2lt>i+>!-BIlW2x;0+>+quB4xQ3xPNQ6<@9?C7h1?JiUgUW|CJTUBC
zvCcGt2wT@CMb^apV&2HqdK2o!2mG?FR9_Mil;yqm820^PMkYGv+^G}*C6Q;cVHqkg
zpIKTiaCC{OS$ZcGY=q%a%uDy7f6Ab&DfoDVyb9a{E@&ppiozJz%e{@qmBBlVch$xR
z9AF%#|9ZWWIMkf-k@xzm1cFc7!XF&xf<cALy(8Tc5Sw_{!!un8Tuhga`R(L^p;qE8
zF(d#z^k}D$vl4WExMoHO<AePiaxC8W(x5%o^ydsw3B3Be3h=D}=(O^Os%gtX$@;76
zWdtSIZTX|Kd%rL=4pZXZS1Ew(hfQr!G$klbX_Aw+5QX5BGgFBX%J5iEJk$P^68tDz
zu(PI$1F!H8uDcCH2zek=k-ww_6aFzAnV%#;T~NLE)L|0jeBIvnqfQy@p?TYrMgmOU
z@!7{=O@?bx>tbU%RG`COQY*hp8qT<tCQZ>b;KE>^|3DrQ{G)tt2*}962D75c!SxiF
zw`u&Ko}>zU_x-N2j8g#H=;T1L7;VTYTUVO#lmxq8TwmWvR|d(4H4XQNb-_$!vbxWN
z47(|H=Y(R2uu#kKCDcP7HiXQw{^Qet^Zi1F{Guc{ay@#qZ<+=i^2T$)W)v{`*16BR
zLJb~m-!L^nGk~w({M_&NYJ<FqNyy#(>TsA5XIFj55c06&$?z-{BqUxJRB3C%o4&N%
zuoNS>BGKm`)<^>x>m!?D|4`swh6H|0V?f=1DVFy-4S+0P7@*jq4NGv!m*{H@F}Gg5
z^HyiT*?So-pOSQ;F19XEVBQ$EKC(yW3KKAw@sygd(gQJ(WDYvT1R@<%jN^RFL0ta(
zDV=Bf5c+eJ#I<rih0d{I*}@7=D7HN`I!^=kB^M5TM`QRKtkvrv2*7TlPZ#mf;euiL
zc6|y1)IU1unESDyj*uu4>_LZ1$rHDBBpSknAe9!oavRVPyq;hlOb7K1!VRC}=pYdF
z+$Xrn7Gk_pe-3S<L)pdmfl0o4a8G^RnsudXK#OfQZ^lQ5YaZVW-fz@`n9&-k?T&UJ
z_IdUTHH-%RMYS5fB4p4KN}KSzX$L<xN!KyL^}%0dy&U7Y5`=zBd>j124%W_a$t0Cg
zflpOZ%#5D^*RC|}SuC@Ik(fOd%v2o+o+>fjbcz?~Jj&jMJMC8f%Un{flNKD&9G79&
zPBAO(D`&F4tN{V5)oW(PH6Vz-hdh@*#`d-vSETG*1CK)z3YUY)@UT&puUm2z66vW$
z$I%w@BFiUOd?YYnDwNZ#`El=mCENeV+d|THA@3R&6-W@iufNZ4HJXg3=dyxqKxMya
zvS6b;jCZ>W*B%qcjjtCxr`lNH5$x#U93~Cdzh000`cDECET#4>8nR$R;ftOFVG>a2
zIrsU&KS@0GQ(1+Q13+f$ZV*osfjgJiNDwX)FhgI9i!KRp{?kSY>2_YI-jiIswTFN`
zf6p52CNja=Vg0b@?Nv}Wc1BQhjDQNIomC||){y<n-d4nFf!P*iX3uUV;7x-gCzaM(
zfwYs&(B6>G%<A&}f>DJ8Om|3#K62C&rt)@?Cl{NU9zK1qVvi7z_EKrmuG9k7iEs|T
zHEL%UyUTIuS`l!g=S>CoX>&N>WKMJE`^>gUo=8p-Ctwcaqv<hAa}YhzV{a5T%O>q^
zbCa5rL_aZxc}}VsZ1rP|-*f)O_T_szQ#C4yyJX#mxPF;})7wXeVkt}PCzp}BWl9ns
zgl~(V*=q_nb;cZiQ#r6OOW8$4fPmz-#eD;vCU8I7^~T2CTuABZ7;#ydhs%Fw-vJjB
z;H=p7`{+R)tmCrHQ;Q>@c3-J3yfcQMb2Bx9ZhScIF}jZNoq*xVS=`L+#vl})`dXMI
zfYkqrM*bd_!sY?b_KjZ{;4aWN`gl+fZHT9?Hws8&mfEjN!DksjR_dWVxFU>q?B|Is
zPo!~H(@y>ckpVRgDHGglR%5?(z;?ZO8MGcBA{}ou0#%u7XO!nf@rwm@mOoe)C3yTV
zRv$Nl(Je;xOC4hP`tDUp-~Z(B+%ZG#A&L=rkoi7|REy&hr%&zrG<lR3=X}3y%n;sX
z#@<_-DS>)5+6C9&DBzX2_{SNy48fb3?i&#=iQWQ>?V74e7%&$TryFJnzFvest}z6p
z-q^8_oS=+dS#cv3n+-wb)hlEDL@Bi74V2CkAfj3G5!W6wL*V4h&~VO|Ml#<=>(U+~
zzB$nF-CxTPu6zrRE3cP9*Bttw#XVKL*Ham=R^1R@`BiV0Sdc~jq|qzK(@8jP8YbnY
zX9zlT0-OuR@~Cv?)?URJHB5RGe<Rw?5R3`Q73X6V@Nk($Z9zC03!<or11r4jFR77A
z8&|~1o0+YAq3W2~S;6U@ZwMBXHxI>cQAT~e^>d9UHL&6A$xhM9mHEvyu5WEu!JzNL
zd)rQGVv^3QO-;5&AZk=wtY1z<(sbC!i4Y1#jW<cUR2qSs_WJIs6RKDn_#im&kQVX{
zWSlmmF~Bc?@6yXPBxG#Vh<LV18_$Q69bP<V!1KY`>U>Exj26n+F{!14>5@#3em`Sy
z*lp7;GOUJszkS{Oaa;$T&TL#aL^gqjfSjq5x5;?HRy@i$Mi=c9UOVP}H-SXWvy_En
z>ZtvEXV!llRHSunZ?t)33VD@Np_cj@IP;)+m5U1%pA|=RQmf6t{LsR&XZ;!|lHSfW
zA3#Oz*V|}(H_V~ynRn;ga7_&Sv3fRPGZjB9>kd`tT7c<3d%jYB3V!>g^1hIZis5?V
z5C6-sgwT<2-~3Y)eB)(%;cSR5wk&e;h$LBowMF{<-R%@SraW(Su3QH*V(+Mqow5dr
zfE}?*!dkeNs=#n9*G8cn?{~+xGQsJ0zM`>)7Am(EZs`ftLf7rPPcp;+f_8kjPf^ms
z`u?64ngRt=4I;-AeE^~YFYP}wOTo3Z?}aVXHE`fWr_GK^fHr0`uU`=b+tXBkk{8LS
zdf8FgdIBJ}sowRb2?dvP5^g_pRYQOBnYlo57W7UgV{Dlwn#8Ns&J?I(M)QnSBZUPT
zu1n9Pxi#@FKXiZjt%BtuIuaH7EJ%{9rt#Zp;MeZu=7|<Xyt~9jA!xE7`oD(MsFnRI
z*NT7EdM$^QTb{+P5o3YQ@n_G!C6V#xXqiQvfDG0ohv#-o0elFueE+Oa4eM*GPHw-j
z!j0kx*V9h{hK2%R%Uu#){k>f<)>Q)O9bcCOVgNQ>=;C_zL>12xgQ~vm6GI-Et|;m{
zfIV|JX7D8uZLezEHlG$jy{>GPb6fx}cg>Gm)Tp5BT`r-+4T31@vh6%?FcVZ=*xIgB
zO4!A2u8&FL$0rhZ61zWI10|>WiLap|N_~x!9O>f44KwpU3c(t}9FFcXOp(X-ytQr)
z2|PI6QTWj;-wK%0CbHo|a>)B(G{fKqH?sZYn}oTnU`nlgi%p&kdhxV~x+`)c(TV=q
zVZS9@CN-HhyGx_nhRj2}16;Tm_;p8rqXi_UET5>=kiufV`!jK4T*%`v?ii(G0WB4h
zJM3i$Sb64lwUIVARtRmec#&cbJPkcD+8UC0ld5D8md}l2Ne$MDOJ?xiKD?{XO#*AL
zS{8CT@L*HBM|Y>685EYCZo8f-j`z}LKU|RI#igZ#7tB7I0&8kM;v}ay3O&kl|0K+Z
z!I_gbr(I2f^KfQLaFiJ4s{TtIB=KX^t%r}gUYY>gO7O=yWifnlutv#Xs{p1>TP*mk
zGl8Jdk$$@(QOszi9QG^|MCz#-RqvO^5T<k8D%VOB-5;3kiB}ND+vf>mUtNshuxIxt
zdu~y@)%$o$&J7WKnto`z(MJZPhVK7#<>zY5kgj<6%}o@aea?OA?azSZ9||Ih(xMm;
z)i+X-AckBXe19KuFd)V2z*Ol@Q8e8-{qE!$ahy#{B_7H&g6w+_<JY%|;)a+{B^Bo+
zkVbXxsIxSJZH$sUGD8e~GDi}$uS=qPkzS+lh#~yVI5{YjCWfMeW(vd42>9RTS;LY`
zD?Cp$t{)N<$Fw_Jtv@VD;gNdtu-`U@P;mRkRODrG?5mp$Q+ATUw6?ms&?N)NR$t^6
zp-EtrN{G_!JF@7>(Rl4H+W=g3qZRHAN?>!v#pWPgd0hP`{;_$S0qmz97r9d;i9Lre
zQ&~?}IDHOs(aQjSy?r~n@iYOmt@)+Oe3UTvyVf6G3j=r;TE){BAcZHIVj{V<RM0?;
zb8w7g0ITxDM)HnIV^QUsOyU_L&L7$p<|1tX)0F#^_i-}V?iu|g;G`<jyF@r0SI$?*
z%FmV5$YR5hQls}_B(&e}e`QY101Q$smU;fkVb!Fv&VO-gxF_0`9SR0ey00SsfrkQ$
z$R9`@&n07f<_jKTfB}f>cn&Zc6_G(c_8p$8BlssTYL^*6e1!GB>+6(poBQ|e%L5vC
z>1){5p}z*;qhWU|zE1^7ftwF};iMq-x|zqx-G(4{?(*cNIwI~H$`0jM(?V(OxIcXF
z4Z*~9IC;-?Rm@JxPmZzB#+|R<JoY=d;_=_v+9{zV6i#~-`OIDib7oub>WVUe`S_oW
zh?g2l^_UIXTI=HRd-0V%EeyDm;ZU$1$Veic92}6RB4KhkE<ei{#9t9P)~l-HUZ*e^
z?x3Q`>5TgFXcJKH%qhIGsE*St%S!kCdYI!!d=(pE3XLDVy6xX+U}5N|KRfI6@P`6T
zk{N3TzjjnNkWw`9iQ_*e`;#7qbNKR%W|_lG?#RMzTM8DQFx~0?LJ#BDaT2aRvVgz+
zLDxO|DHuO^?|X%h9y;$Z^SIJu35SC?DyqD+aKYr?!(60daBpVdkr^vE$U*QadZLBi
zW*g}R?Yel(wtR!vKWh-#<l9&DM+=?2R$o#t)WP>xlbT|GG2wNjX7)dEZS+{!Tztt?
z8_mV8j6L%QQ17pn{mrrBn~wj)crz&Imtr*g{x!h3ZK@{sOD$BA+TAkIu7NKq8l^TV
zvEV2nh0y4yg`#`?HWKH^cpoe0N<CRH*2|8Q8>8SFzLL#mJZfl~>&Znq%YyRq$P+)T
zDLB*2{WV@j6$>nC_y^Kf-dU%2%w{DwR0=4>_xdZN|C4d|^mG=aq-O8RzovoKJryUH
zdgPIt3%#miS+Hxlb_1<Q9kp^h6tkjNd~q}F9p6C~?7e#7nROl+%P#bVFv18JQ8Ca`
zY_T#=>}~`3%W8Q3<Oc1^CUN|Gb`7zSlLZ_P>|eK^CgIJ0$GoCDS7X8@udK@mV7ldF
zsEofVZZeRJ5N;8~oDXZ)DV_kBi3#Ley@QCau;9M{KRzsM{cdYc0dRP}E;_AP83)VW
z>h+a!<Dsp$Q>4n6a3gW>VnV4Rwq^YscoN2mM=;}I=PD+6ObU@6H^}48!)Jp&bgV+R
zb>*blP1b<tM~bWd$>O!l>f8PH%j_GRa)%kkR<Lz<W*fJM4DQIjDf{-`5_`|j?vFgb
zEurrA7DvZ6Db#siH2t$<k&WZGmx7!up=;Z*<(-EJ=-AP`i$8gh{p(tu{l-EIun4_f
ze1sy2tycG*AAh^ZK7F$3i1xn~U;N-)*5Q-Dg9cuN>t~nP!@g0n$F`e;!%Xq1E?#lu
znNg1Dy!?-?vewl5Sgjdw0=30YLkvIVhLwB#TxQ!c33a<w&0s>L{pFtK)mTt#63+E@
z73!C=U+;}Gg|?m-x<!#9IQ_})Xl?@s+8y`ky!_Jy(#_Xz>OCxsE!<go&Rv|?7|*-J
zf6xTNB7LXKt_WfI_gn4VtGMx~d}vrlzcCEADw`^N5kzys8?RAY9=sbqD9!I_45>B_
zseg|OqR=Auz(_VPPDthoJm_XX;~J~BBn?4yxqmZgLYyC+gb0~Gw=sa*d${*4uOMb{
zi)ChK31Ft<=Hs7+jbLbP*6AfNL7a`^x~pX?gyJP18nO->LE-e;o7uL4*x%XMsmLvY
zpYz$#>p6_TuR9<uF-s8lA9>L3J-iyzZ7yDvOE-kA(F*&1C<&pT@obyQ5ix9(C?Byg
zGK6JMZ>B@N5PBFMJ1P+=jyqdZ)CIa$_^Dica6^(X(q*E2_T)=o&#tHc9)%l#)1;5G
z;8_tYHhelB+#`uW{7XYsItIY&(sTOVwbfYa_FrVZniTGMrTS^_ARR*bw;g2kta#9p
zv#<V~H0q0u)Z1jz;a77c@4sv@-07z#^m$nZd07`!#&*%+gSm9F*a30;m2&4^{AD>@
zJiS;muS17nOuIS4lE74N*^=)p1q_K`59x8xVZxxTN!m~nzkYTXRS{M~IfGxdhX-k3
zU+28R#hierE#JhypH)VgdGf)Emoy01;(cVaRSI1{m@!$Wh#2SCSIJ#R13g;s#P$Sf
zTsKs?^W;TU+$$d-Qe01i&dWMqY~RbE@9rz<<)tKS`aE=LqKgKyWAQW=Qx4-J+zzkq
zRKsq;WBRtgY4B}BOZK5!dE8Vg$z%zuW8^i7_dun?x9}#2bydW=8&^x5oHWqKPU~z`
z5FMUuJapvSk`nf)%S@k4)kJ?4JNv3OIy6`<#2-c#j51m5)E%PWi#z+D1lbxui^_?u
zX)Q!t756%zO-CDDWEVml-WWidh>t#-t%@S7IITyAb@29qPoKk&t@!9%nfKTu61tt!
zRZ=R}MIVRLejIcoa9R*nd-zBV-LH2m2{%zuODR3xN{|5qo`)43YsvV!usuGdSr6CP
z_*2K17$9iBOHQ^{9qScU9!(bL08v1$zvIiT-w3Y-O~8HTklOF+l^m}t|K*E14bR(5
zW#7;<1$N~X6T>1+{P<4Q`|@@g7I1q%U+^}ArMhWKLi9?%s7T(d9Z18S_RsBx%FN*%
z(WNTbSqm=*d<!h~q+zq{{2};b0n(%=$IO<rFsLm1qOJlBU7|Z4)jC+gdicF}?L}?W
z|G6{u_FjFo@OkAam0}H(9Yl}FIc=oXojYQ0w&FEGvyQlzOi<{eh+m}ZAg5pgj|N*8
zBN_zRhQR>OPf5Ne+vwoa@k8R<mbB4{dXDGSJV5!;XTSHWt@OGGm+i@`w6I^axjT0^
z3mhjMeZO>QBcrTgctei{78Dkw5%05rl^t<#)<YW&&rhd6PbFi7K#DESvA~S$Nk6MX
z3$NB@{moiWLVDlm8zDIxApJcQ&OJau`I>EKs`-d$SK)anL&F9V{dl9Jr&jis%K4S!
zp#oaita1CIWCLQ`wutuhX<$BeZU5C08QiH8s-n+f0~F_?tLJOfk@Q7--=*)8=$N}d
zN2r|zZd|@CwDV*XDvPCkUioMHbGwGUR=noaeAvZi{Yu_wYe-*rR0w;w@txy#X2Jc$
zf$+ORB+TJyO4AAFMgIf0PggGj9G%{Hs;iZV2m3ujUT@<>p8fCKhYA6<8ERBrFjhh3
zctUB@pC$H<7QVmvE4@bJRMk@Qh$8Y-x4kgB@rym*{!K8roe5Kye%dwNl1Ey7I=SKM
zJll%@W~quK69SU1#obJkMWeWbb)9)L?C9hcVz8Svyonfpzq3#p4-F_QOj>_qM+i17
z$z5LQDMODJ+q(%X{6A<s)IG({*r18bE=zdqEPQL8E{Qw7Dq9w{d|@{l56wMRv;<mQ
zFMsD<aqK8o{@T<3g<X+<LP5#L0*uaIdDZVJhIdkS-jnK|Vk;($=G0c3L#@D#@HxlT
zIBxUVyEp4A+ugc2;WfWGT#0oc@6r**ph)l2;^E)ftVaX3zPrtUnNm}h>MV%v9%Gbm
zlQV4NQ+0utYfVAu^gfZ{JNy{edUdZt!W?^#M^^26B~y@0+A46wl@F8kL%3$P{a|-)
zUV~9*P2jp(`rSY+UW^;KO)_!*$+kTH+K)bE3=FmER2^d;+~X@z@OtlWwvhFw|LnIJ
zgBo8?gk}&o-W?lp+mrT}t&umZ^57K%gx*>As}FMFIjZ4p%I78a%uuFDs4W8+C7)|d
zPH<s}u|&PQ?kY^_Qx}VSY6Pz1>D<qaxiGwFbM5mW4rG}hl^L}%0*mEY*%(DGv}?)L
zzx{?26O?WrOsq46I~R?XvNgCckLLrm(SjRCAFkV-=wJwbI-Y;dY~sR-;eRBRr#u*a
zH&t)0(*Q_`i@!MYxiCL1?1Su9KJ3;xe)a7E1GxP+WZ7Aq8wY1eZQF$fa5!C~!ESMd
z=htFnzT|S_g*&^A-u4ON+cRXxpfoxtMzP-9apA#L+Gdtnt-`oi^Lpz=1|0+plLOm`
zya<1f^U05{MvHr`YW2M|nCd0-)Qj`sZ`y*xM3NYi_EaS8kD`Ilf`iT$GCvkctd4$K
zFODjv9V&GOG-y-kiN5A3fcwqHntqE)VwC)Qhln<P(7rJ6a`dhs+W+G}o*G2JprhY1
z%Gc=wx#&Hmoi2<!pVKjAUTP(G?3$&u>VeCr!RtmnBIqp0CpwcXgTEvKnl^ju!6#4k
zNwFKEDA-+3%6FE-ju(jrCBk~psHfBQ>a7^AZLd5Ps;hu^_k7*>y^#t6?LP-EjftZs
zvA#u-s)VBx8KY~`s1W+H(%`J5Bo+m(+CSi`f`6?te(;A=Vf({>3-3G$m^bK5?R-td
zEV+`ZpDX8Mwu>nRkEHOk{e^@BJS42FW~gXoQh~S1^6yV$8Jw2dx7vH78rGE*5Trg(
zq3c#Oe?hA(el2nTAXG-iQ%4_#rdaC%;pce;y>s%IwY>iMq_hSW=}#PMd#ML;%;|u~
z9*QV`LH)qvBu#YBi6O6z)`vAOcBc>9D`WO5(-(9pEwp~n6#vGA29ArFm!DIJxF?kD
z@-jyoD-*U1Jbgif6AlmBI?Pqkb9wnmy7mg69iH6RJ3)s70Tl}JTS<6pM^KVdITb(H
zIP^=}89-zJ>G9qOHQeZ&$JSES$EuI^e<lqL!9jL^;M1FA6nppOWPl|Nv(-4hgsfTV
z(Ieuge0tTf)P3H1X9o@YPoP^!2m?fya%`%2H1U?k8}0;GItnVgOmBK&3=NW;zX;kC
zO#5ugZn{Os-?J{wy~d`nYwB$T3AC`?zn}HBpN_F_H;T-y<j?3;<BaE^jdb#+gJDB-
z?AyC$ByN)hbYD%7K1kNV#PZD3x)pTf)Vo1RpRt5yEckM8L<esgo+!;*Lr0})CHlU2
zYp4~`I~5qBiw}#XOF8psxTSH4$SVvmXZo_~dzUWy>nJ^W8?TS6j0%{V^#GlHbAM}>
zb@A;`@g?yfD!vnxt-tTf0?qlF-QLr>80W^1T>LtCzcjD%>O2dQ?(<QvW$R*Mw@7o5
z7X^7Akazd*vjJ+{)B7$2U0nTRRUub`I=&Dg?^ms|0k5d52bx@UaBI@2y<P<gpX66}
zWqq=N)b-1WwmY<uqf`F&riUt6WqU1Id%*^HW4DP`nQLKN^u@P!Zu0oKvC(&V(gx-~
zO=r@7Xkv&Dp~BHw3PY`%-Mt!Zz-C|I&Y&wAsCG*tX}n$xt5|P*DDgI+y#2u+r<I;7
z%x?Vm?1BJV9e?;Y3T&YN$A&*fg=%=j+xacy1}DDztA0OxoCUUtg1Hl95+<6y9FeO3
z&DNxDiF*^xg19;3V<tC=xO?jG_YBwX?7rF6G4~W$aMHCzuIRWj7MAq3a9kT=&tWt5
zWBE$26j<cUs8m3=2OPfeyNPX967=XG00hOCk*p=;Fp_tycl=)!ldHmtcfNoL?Kff$
zpUjfRsXRU7v%YVcAIhG6JKAgwz9EnM4s0gi)$&(+qC9$;UUhRx6SG$E?B>kGRSO9;
z<qR_GZSP|?=AC`MPt^)SCa*v7bP>bC-`As!5(k)(7b~PgH(SERGRw)Y>LREhzdhrE
z$^diI{ZDDZmn=ZJRpj_Immu0?88-L|^f5g`?-%>Dn!}{i(AErNKD0dUa?SfeFH?2>
zHv=mvbNEd7r>9uMjc*)3yUCvEWC|tSoPV|AuQNv;ej%RcL=_jshu*i^m|RXg*+X|s
zp}&3hrb7BEB)+`cTRPCl-1Lat3jC%J-W{a$<=qnd!Me~O%k~G%=?+R}#Xb|bxA)W2
z0~3GPv>~#{lz#}bH95fP$8%$N_2-zj+QDD!PpYk46nZsVrC4bABgGgtSoA)pty^G+
zRCpUN_cyR>+HIdOQW$W^dH+7Q@OifRlamVjV%yl0s^?y{FB^f$^tpbKRdekB0RRC1
z{|uLRIMsg?$6b45?@_qMy|}JB?DainWh5%npi<H>QzR*blA_X<eifxbWRLoOB9xK6
zM@Y&@l0B}U|KHDf&hwmep4WMaY+5XImuSa}XW#En4Ag~IOND)Tpa0_3Pj~++PVT`K
zti$W9e=<RL)cx?`#wmQ3yBw{?4&YA0VT!E>m_Yqy=g1>Eg&(!ebh>Qy9S4uj=Suwy
z(5`GMxx@bl&%4<q7sxq+YYTr&6Y*rgSVU&Hf%7DOBkN1i?AKrT*P~Tj*S^z%68yl1
zI{6zHJhl<dXN==5nTcAFC+Kj-+~tKp&u=`4@oQ-4-Xtz-QeM+NM+0WT%L9+aCh>x9
z6|1k!Q@B*BZSR#B8vN)#E&n5F688$We`R)J8b9Lo`N>6T8k{+NGj7`D4}P}cEqW?D
zgD*em3p?tr10hba&rWGg;Te1`JLQIE@f|<*l<3A&VQ-sg#Gm>pd`P8NXYKPmUV5A{
zyYHhmy!>yleLCqc?orU<KGnR4<4Z*cyIB<AJRY%qK6n~$rsDIRoGW-tx`%6)B?Zh=
z%)3Xz{^1Wj?p#~+V&U4Z1|CBRT5w4DWU6f14DOcXL|F`DLuXj8u3hQV1XBYW&0W*$
zeaP>zIyyi=f||0#a$QYeRa8~f9i7MdwQh4<KEi=ib@8)>H#NZjN^B32XAxKA<Z0~_
z<U&{}dvMx385pD^Q72lK@M__|iHtsOWL@s#*zQG!`Ii;tI*lv1USW~dqYhrwdTm88
zyMqKYG3$4Mgf%=+Ou{LSAb_$g-=t;jAi<gV<B^^DY^dnG>G^C=L1cGC_^WTHIy~HE
z`F);`9WhM;&eP|G(dvWoUzy(Oz`nKRLeB*b<ZF9w@x8Yw;^i>u-?OF$MK5KIugP(t
z4F8DBS~FtkgI}|C@-sEaC1l0!U+<4sPd$75xdci$DmYrOQw@S|3;TSp<wYG0Xa10)
zq|o-DJAFqb)F4K&{m#-TKQc^{7TI`31`Q;c(Vq;f!qSin2W}#W4lz9S_;5K?|Nj0C
zRILiU=0_f1suV`$cdv4akv5{guRX=?AXNyVjq(1l5k=PMU4qglMdWuX=SN7hDojsg
z+28ykhVaIp0=pfQ(FA4nuQNdnZU<Ebiv~!b;?<t5wk<@|qqg|A$XN||ZYbN{G?7Bi
z<<0@-A*!gdzbb0svl^7?vFnLaWl)Ip*85`y>d50&REm<XI=Fpxf6Uk_htBaW@Xm{q
zQPM8116(#Fxa8j^Abwo|edTN){J^V;4D8-b>Fy@O%Q*TQ{?$#Wz2dalm?#Ae-M#ap
zJxc==NM;9fYLrm%;tZKhgNnF}rtJKjwV>d}6VnJyA`0L~yUr46NW9-Q<J1;ycs20U
zaQ2}J(&c}z(n+BsW<`ig*+U(u;H*8*rl5xE*_AR!v>0g4)M2TaOoxC)KR?EEbtIeW
zII1JXL@9jEG(sT*6zQMJZ|ag!ul#@ccL$irz9MGwaHuZ4Z7C`V!!-~}j)~8X&_(I|
zZ}oN^*9QqTv#<m+EktX6`}n|jU1au4+N?3w5IT+iShPH&plvmi_XY@h$av3}>B$OX
z;C@f`l^xMWpQZOt3O48>gVHy@UyGZ;HDk9s;qz1!XzUdB&r%m%mpvp)IgG(r8J9Lz
ztAiXCBDI|MFwwr+^4eXE01K2m9mAS5<ls1;Qz^|r<@aA3#CKVMRvhEnH(MGCe?qMG
zzeGcBb#{XrDl8$l(2N<OPeX*VD{&m2+Q@ddYiN126^OrI9CrPygLXW-(Yx%fflfXv
zVJS;mgX3(~)fojH<a4sC6eFpjoVvFD;ZxSY#+Vk@n$t$**Jr=f%qXE_e_Lyf|FZ_3
z+4!=tSPD9saP98rPFdtUbK~T>N7nGWOhKx#M-x5YE^hG8Qw$x={nX(fXbp!_vh%q)
zG*E_+d7!BW53-p14qhtOpy}{CTSI_^uKZisUK2Zy?@y$TP)n`g0%Gpi%&vx3rf!RG
z;%>wR9oY#dzzPs%_(^e=h-_^(I5u_t#Ilkp(!Ir&(CK;0`^BUZV!I|5X?tY>+wisH
zq_VapwEfKQzWHY(Dl76ndsLPH&$cesJxsL#-fpwH4^%m{SGP#()+<g3_NpSD7qx&F
zZEu28)1*+k5Bt6@Di4e#?Kn9V2jKTu`eT%vIEp#BT1oHbg^eXK+7285IriqBRdymM
zd!@fGw}%fbRg=}O@?tO=+@hJo;zuVnX{tB&@q@yzfd*44a~K&D-+k#97dkS3ueaj@
zKaAQqyWY_;1B3F(>&Dv%h{jRdo_B~J0*!?nly{m!fWEr%Kj$UfdV6u^iUL2BPR;l*
zqfH=}6{y5NIE_1djpwy}<b&U0HNQ8M8N>LBtFM~>FMM$K?}TFq_~5?>;V&mvjUZk^
zvvmu97ap*5B0iCm4{Dt5U<zA|pa^5=$n|F8nx7Uo`4sX(^9}8Zx%-B2hrD3i{q8Gf
zS1LdE;{q=%_IX{Km^Oe%6pO)3^8rjn@;J@fix=YNhwY<W3_vn^oY=VZ6Kkgyzc_wm
zJufWT=Uk)@X)?iBCE*V?QoaAX#T8yic6uqutEvwvr)*<*il?y}E60}$jl9rj6~X6q
zTMv|^kB|s?vsm551bH)aJ~(iU{F=5w4+gbF#K$5QFxS9U+KFa9aOId^bGWPvZJUf1
zyVaI4eHbLYyUq`$xRC4<K3&ixjOMN8u43WGUbr)Y1)%u0ryenh2_4C(vPqT=Fj4vc
zBra`$@Z$4Zn&g?#Y#@?Cbt3>#V9F*17leIAhW#aP7?9%Y+<4^<J1i~dY|$kP0~^=O
z?s-cFTzMT!66xiDA>Jvh%u@s`9Rn}F?x({ggPe2kw75X}^v{?_R-#~+!grVNA{~ak
z-xblWaKn(m(54CygE=#G2Nx0@c#8uYRTg-lBElxzakn_IpSOJ0-b#ZznEO%ga6Ygi
zFkYR$Dgo_%qXmnXY0$ECVZlU303^k~CS2~31lu}a7Q>nbu_X-}QjHs+f>56KZL2gm
z_Y!+VcxaIJnz_>PTnOavRJe9@$iRN)yWTTtI>1Z7jC!0zV9Ju%h+^g7N^+s=9|s-y
zsGBQ0?jZ_Q`)$`6-4r0p>!so@J{?ddDtsnJi9vG>;WnScCdff@sHleugoeD0izVW)
zbb6T~#884)>CQ(&s;J;Fz2SEqza-FF1v^!?E5oH-JuIw_3OpGU^X?!iP<v#fDtVCz
zqEVbzrKYG5w-Pw7H6sm%Ywli~KdQiandc{W>ghmKO|<uwL|JI)nvB0ArUrc7X|`#P
zbzpu+0nyV&9#nVSGNuQqgZ@ZB;W=3vq=-D}c`CUPhUZ4Z0{TdB;#Q?&@mU(^TT1rj
ztZf2^5aWb5+cjXWIX33SG!0m)0fv&1O2Dl`q={B*LPN~JZP!>j=$f_q9=N6qV+z6B
zPa9K!{Db)Cl|BPD@3r{E`-}*5QhJujGi{jubeUV1iwOsF9>o{qDsb7+2D4tE!q4RP
zfrV)%C<TRTcn_$8#rr4i=hpwWia&?xCTx1ZyEF2)5kVaqV|}_xAJO1J_tt7AMIWT^
zb807TBte#T(SZxRbfEtgjHwSc0QwQNUkf^9U~|a`HF2iHTo0A^XuBcYmvAL+V`#u8
zN}El3ARRW;>i$i)H-_)H)q}o`njliX{|)o-dR}yIvQNDUly+{M$r#rJ%B!{RY*jjF
z9(?<1$i)oq-yZ)|nydv<OApg)vuO}B6S8lz$sAso_wBnSMu7`rrL<eTG`RXjQ?f=8
zV2OW|ev&5zWZW}e#P6p<vRSp}!Os9^%VLim384T*WW%-sX9}$2;Ca%13z&#bj|z38
zfV%Nd?W9!=cvGQ}KGSUhQzuFfsjg{(eT`jKcQ6T}*G^t@Ftdau+T_1he=XRvklK}2
zuL?<Tz6TUVS%R{&ckA36O-Q^&(Y&yU2x6Ox1R7phLfP}^qOwvA;0CgF;Nm9mko@Kw
zUtkGZj~y<SKP7|n-L4(gv$Ak5zEVy!!xG%<2mBu#Bf(V5;`vl3Nl-eYYJ7CP{zTT1
z8W$OLAX)zxBB&q=Yh4WlsjZga#d%tbP^b!B4=!J@YT$><S{`ZbYZib>`S5r+sz9QA
z&MhZDPT+jDGu!T!1$5f_6`vVW2F{LvZ(S-ZY~kYYwrYC|SZ-#9g@!AE(V^oSJ?^uZ
z+s~(0b$<fnKM9Xgx7Y*=KDFgXGbgYo>G>(F2mtSb4fluA<st9F7jkp!AXf0g(M3`c
zz*$bH^t`q#xLuu^6OV1dc5c5NGqwwZj|C=w!+NFQH9f~9%^G1v^l7GVv^hNV6-Y13
zmw=4zF*bwS;;=IhuZElEnZb1N$H%Bd3|y~Y)4rkc8uuIQ`M!VD6f9vrt#4ceqAlxQ
zd=ARRrAFKT2CA5XqiSj7YLXC~_Gv#&?#;%3C(Cg+95R9EOFNTuQw5-PLgs{VdMfT+
z{l@6-3u7n}7d?)x@<QFpaMQV<2iTLyhv&ZhHG=(xxlRrl+(5_=`zW1Xgb{X2pW0?&
z1cAQ)UP?UVgrh@0J{vSvVZn;NU4%P^ka;9-_CX^%9Lg4+n^J4S8U`XbivJjZz&9DI
z4l4q5^O`4Yw&=imb@Qz@Z!>_<zI|%>-_|gd*U8s-9`|8e6Akk(=IBG`oAkBj$E#R~
z!xzE{sUhslyu*lztUe4#oY<;}FJrrFozFJ-|G@madfvOl=)ryIr-VIvOISwbu(C$i
zFRZKS#^BRgU3j(YtitNj0@i82am~kN0!zy@Z4f-J3mK|N#+GjZ3*+y!i0k`<F%=!_
zLx-4f_2czVMtkP5!_y}z;`m=oww6>|=fQ*zEjzQH{hGu6c|`9|OZkUA{`tXTZrwK{
zBR?dHWzS($A?bTp<7csgW{TpELk#Gne!kxPW)9n^&s(x5VICv7=zK~TqeFc;(SM|8
z4!g-ac3<@QA|~}_MSA!&9sGUcq}WX6v19Z1K8yD*W8bdd&Huqk2X*fqqGvzPV-nka
zKN6WN?EEfcy`;M|IM^iRYahLU$&6MEYwu<QnUT}UBic0Z%bH>eoLI!vRk!%0ydgk=
zgv`akL>;KjY$zGHu!PB5p6&V~%K_~tuf&GdQo;S1`e1bVGL~A;`K;|JC$RSQT9yb=
zA=E0^$xwF{yBT6#Ct=SGzOfk}`rNhQdI`L%X=h>aJf%k@rFfxxHZV>rlL9JR7X3H7
zvVqq0)`=%P{4jjiBa4lX0y}fL59{nBK#7VHd{Wr}jLmv`ntin((fRaBT?9K+lyDVQ
z`w4*yb%?;|)dX>Avl21H0a7Oe`cuw`K%cgTPxDSqI6PfntViSmsdr@AnI=&nADs=l
z)~Nw`BZdx{FSz04^+k_KdvUPuuvt9rqXCWit~2x<yl_0qzhC301n_?{d6L1U0n_f6
z_m-0QLCJ!Z<N90*`gMfAm*<c{e{k2kaPkIV%@ihSCCEU<<DVuM{K#-qLZPOAw-9vb
zy8G^WC<phS?1`T@Bg0pRuqYD`5jdWt5`Umw0am5#f}Rt}P<QCwTKH>G$f}tzypJgY
zT`N5-Sdk1n4-vLXNQuMBo!e4@6H0LKdy-qF0U3V0boto*SOP*+|Ezv+CPME0g^)}B
zWO!SsIhAB51>MmB4~835z(r-&Pp6g)auV%BRnjt`)RJoz=&c5e^0&#oP8u-D$_;zZ
zD+j*_;@*l9B#>JUBp7mN!i!bPUTl*B)I98*xYbUEpMpo5&#iOiKa*|N0lPQB?Z*eB
z#b0T{IV-y!Ct(W6JFBv7-Kzva?_SpGT%o|gaQ=?_r?tV}J@<g;LuCkG7BdJuNd=QH
zd<mLrI)Lx$<g6bf!lKy4A$BzyOkcjrAl;+^_r$krtG4TY>@iV}`022$Sb9UEj1Ezh
zJSY1%YH)&=95wij4k~=dh37<>;J-rH+$l+dIIb6at~_MGzTzzgQ@3>CR!wnc;CV7c
z6wcSwGMVu8D1VX`=)+w0P-JY61~ga3w<)ADAz-|v!coi+uA1q`7?ZT%_|a}jLL(F2
zI{p>l=P(BPl|;73t`r#8UQ=1dnb6iBGWCPU6gF1sO2~L>!x0@Gv*+GScxHQD(nZ`H
z^a5R%|L9TS!*Eq}FU|nH{Gs-H`~YtQh~c75RM1V&5h<))=km3|mfx!Yj<RlZog^L5
zAs!@C6KUWxt?{yAotwjLfssQ@9iWKsOm-wwp{uP)cIBQW{G9PPT=16)hk~DTKX1~6
z=#jX7QHB+4x`5*K4^lxmL#^_gDG9pQDmXtrv4UQ$I?tjQZJ^wk8dFbH0rqk63a=3>
z@SV7`^6AJr$9E5PdUYv6HrtHuKQ?Q){=IJT3cnUap9%W4JSGDVrg|H*XRM&2@Ljdo
z1r2bF{SrMABL+e>$Lx}-tk&-}H|<yh36A&4=+{2rgXKSGm!iY1pm;KW^#hMOoFbm~
zq3>M7UTAT))GJuQ-ac~TTju(FnTo9@;=eKbU&3eoGA&`THEOtUKM`npPm4<WUto=X
zBYim25>7S+|LD4|1bgi&gduhqkJNlGY?fyM_Cb3N52b8`&aAOn+t1T@0=rIC0K)?M
z_wg9*vzCJ+MuPjq)faK0)=w0+9Dq*ukY#rTX;94VtCq-H#o1L4j#beCZe09vAJde8
z9<n8usuvsL{wOa$cLD<>?C^v=P!!ta9CtVEB%se6oLXt&<{)CEsjmH95dO;^svtHI
zkg&Y$N1HolP}cis_O&Y?Bn=gX2h0-C+4pVboW-Uvw$DPn(vS<vTdIPBx(Udib6_fO
z*aT<+N$mfk3Gm`=a^CG^0vdfI<2NT`0<MvBL1TwjF#c!bGl9AU^d2VfZ`)-II?|jI
zS5M7h(qghU_SI}?;%S$-(S0M><Nc|9QsXZsT)gApEjKoFLBqa?F>DBzb^q~9kN?6h
z<=i?{)xCzN)cVtr-n#d(dv1?N9KZyd<c~FNT*JFf!+Zm;89=LO#qxHn84IuYSdkdX
z!e!FF6TXk>gMO0uF^+{?>~Vo~WA6qQF643$J~--w_eY+MZGolu_uoO11)o;&!G?<X
zqI^Br@dKQGMK|GL0h_~e->l;Ey_C&2iF)wVbXUPKat|)V8ohd=dKH(y$(}EntPA@V
zC)mi#gZQbc?6Xx;EPRijaIGZ2E^KeR6+{&n!3P8cZ7ow+_}=bVecww=m=FkmwA?<5
zd-KkPYr3!D;jhBtR@s>#{z7<LvHx$}WXbsBArc#^bH|dhVi=%k@L>FI&=hW+5c1p<
zXG8b6lox$BFo1PqVD|!X8h^h{IcX-Cfczrf^XS~A!=cD0Vjmm+;RbM}DRwJ63N6dL
zH>O4h+XdazHWy~`A)1MSsyPQzw(+rhTttIygwv4`2J?7Hsx`rQCnxfbm+f+PqQUVu
zfvJkD1)SCEcp~%~7aA!m-7Vj$1CD#oM84`=!hbUBIXlO>kuvulMy;q0u<D-4N7b$1
zT%V%ZQv-RCsr9YGQMYxU((evl>1W{q5efG^mHE;4^V+HCxi;)cReD<-&xS@1#%<?h
z2_U@mO5<A=1)MIUzb{J&h!$~=R?RPjHhs9kq8*^X=2jbu6gvlcOWwkGs3w9sxLSI8
zYPH}(gv_yCFHY1gb}IDVK~eN)^|I0lOD&i>=|3<x#D!iSNf`<#6+^DJR}Pnd(uA_R
zgT#wbJc!&=|7@?G1iH=nWNc=KCM0w>cIMmgp|np2Bwja3qV(-T0git);L;h5yhR-W
z^m6*lO8HG`Bza3f&@FYHr<UTPjn;zbdVfF_|2bK-pO--TxlaR9vR~cri4#T}s<aPx
zC&;6_UTz1-IvUXW;CI|{mI!*3QQ&)^W+O7al;iwdS_5QM+{E!6Vn~pqr3aT&LWOr!
zGTdb~U`vk?Uv;H80-JeC(@|w~P&<&7YoG!7P#|sZDvACHd(Yr?M3fY2<o)W51_ZxX
zIWfsCjbzmqZI5qNMe{#v#NKyn0JW7WFV!W3`g4N)Ir`KP<xJVcqK_u%IXyh}rCtvC
z4_-Rc7ehj>N!JPU>RKRQr8R%$hXN8ZI;^c>p@GPO`)ZLK1(ISHw1`TIsDA&A&zbyM
zh~y}0TWF^Zqp!~F(fgo;g05#zg!NL;n#`@<9q*}dLiG$E$BHuIEm|vikVQq6XEVEf
zOlk18Bk^GTW);M<neU>v2@SE%xGTF`(BbDmYQgj)RTSy@CyF9LM>x;p$pn7}wA9O@
z9m{G+<b9+JXEz<a{yIoy|I7rw*BQT)_mEICQM5?s5(CwFSou@z^gyEWu!DO(8Ck`+
zoRsEcqSx=fXomb-zxQNL0vo3$a(h_wpwfeh79~@c8a}LZ^PM?+xtSI+!~#_xonxX)
z8+?|xr5S@!sC>`NZVFmo88a(4CW;{ZERwlz3Z(xEHip=1qjc_{4ll<Us5`4y{dS@`
zI9MMFvk{=8^r7xs;`$6E$&_nd$1EI4ACA#Uq@sRPmyrnrI-1AzatD<xz|z;~!h;4X
zN>ZDYJ~pX?7F^$lDNb5|j@WUkQ8g9Gv9WI~TcMzgq$#D)6iZ0V(3?y-MMc5&Q=7?!
z8i-fDBg9_a3O@YG6pCxpM$5k!zYUwKBb)dfdCFxgkXw689iO5gmkVR{Z3RU1h)_PP
z_|Xdd4gH4xtJ6Y4CoxLI#Z74Y1NW+gW-Dm^r)}31sEKX|x@LU;BaJGDt(&`XE3l-*
zYZ{J|QES8Q(4t?WXw?x}f4^o0p>{jjc3G3q<HHxco{I4ybocFjdrK=Y^E@~6{IVLl
z!Rqy>k6pu+EpysOhb*Ds_>ur`g$k<6+20xX>JRS4+R$x#+7hbg8RE=UWkeC{ym#YW
zHU4nh<by3N3+TNkrW%4NA*GHy2X00mw&iQuInF2x5XvcHX((?*$H<Z?xo0LZf6s07
zTn-D!!nO^CkISOSA3tm!sLx_G*YohQ7=ZSnt;73%NTHkpkAw-&MeIH4>2Nb2z_$(|
zfv4gUXnL-@cfZ~W_FwhGS`{J&Gv_jVMnXl=;*8*Px5-s(SYq3>m7zJ5rTe<JX$c|y
z%>7jxYFJq94H3WBu4cfY<r_NL!iTmcTt7I&Vqr!f<e$c!H-#69k-v|Pa3SkYo3j>5
zSeVMCw^D^~OrVzAvTSxgJNiL=Dle|e!rEpn&i?vt4DkWyKVUvA{ANM|ljy#RQKe{X
zIYeV9=AM^{saU{Yn@>-)1+8F-<g})TK1Oi+m=m7=;UA8WR@=i%%NQ>Ekw-V*5VCgc
z*h0TOiT_oJ$vgjO2_qd|D&yx}-}8`~^ljNAc*v(MFULPGVkh2@*_RwJ0M7c}Wlyhf
zxH~<f!%uh-^EvhV&Cd_|(7I@oXSv*rrwwuLu?|_llKKRmSQ7Oiv_>TTd?SuW4osyC
zaxP#V;vdK{@p|CX|4+nAGZn)weik`gI*$$K6H|lcbs<<Rkz4R&C3cj}@BC!SJT~>L
z=S{nhE?l~)S?Te%8Iv>`-8T1X9wQcF4ww3wFxkg-{nktumKI+_j2@ZCYD&&F?cB|T
zg8G70;?4nV*Plyyhqf<ZvKI+zq;>}Qlt2E;fBHLyMSYdnF}i?h_`558b7Mf0i>}@2
z6C)Tk(`HEZ-6B@dD<^rRj}8La-PEVnqnLZlUyhE~OBns2OL)3B9R~Sjw^weMz+&{@
zF)}-rF?j4%m-LSY_V^xdorXzFS75uJrNO$FujZbTzeIy&yP9RA+9_;-(&u=uj)f)7
zj?S6M&_LwbtHG`M(^#lo@q(x$8z@u^93J!3fqccks)?EZut|p1gOkn#c(lNEG3E{x
zRFfNXU+c|c3CEG6+-Y`LcofOGw^bWnEVaZ_TIR49&666$l67zOBIaI_)duSAu=)G(
z3)q+W0JF|@FFdqeR!GyE0_FuuB5?<nuxxzO{=pn>u)m=m7geGKr@T&k{pY@dZFD5u
z&_B)#5BU<*I;FJ0ZHB+EIE;lIyUSW3Iq`#pyH7#<IZfa*ZXESJ%myR3gLpg-Z-DH3
z-jBpbH9%{GEBQql0j~E3d49_j0!7PF5B>uhF!xwTwUvznGK`2+j(Z|-eoNJw#vmC+
zmrwZoI>!l7-_ltX^P(_3IlkM?mkil~zp{B`x#4-S=hnPXafs?LiOAq0gY-&ad~6R7
zr0(1~9J)~wX74|9^?gl(f8~3>k5}=*?N-5p#$QqpA9gFk=l}^SNjZE|{Q~e>>Cun4
zJ{brqJr?~(jRa1_FD;=YAuzJ5y?BHr2c9)YPSvy2fnU9HWs8dlbea$+MYnAP?Xg{{
zVZYVEZKt0hEmIVlYDZOOzA8dun>9mfRvp;?rKQEGi^F4^d#RBY%J6g0QOZ`91Pj#*
zl6#N@7{1f&_>@nC&yU<ztUXBJh)q6C4wnMmla!<r)~X;sk|R9%nFL33GC6+llYtD8
zwYA9!HTWL@0RR6Cmv<o5eH6xRkutBn_jO(C+Us|0BBi8-6p@q$Nm52qC>h!1rHG13
zMkTtZqDZ!^lr2QbCe`cT^Vj*F^F7b!d35Y<559F*hV)zG)AU24&^$qw|5B_3=DNvx
zKNZLjmsC7E8ZQnv&o?V1M3Etx#g3w>paT0Cjz(P=l!Swp&$jg*qX3ER-qSap6iBLE
z%j_tUhVK`K$oD;{ko>63NpwOLF8k(i=dQ{?+B1ER{N3tsC;a!T8&zs>k4xnnu}2Qt
zS2vd(yQ={oc5lo$dRhZ+zxRLf@r^u4MDnZZC1`@b&*}dEN;QFVJ}-f$s|cY7gd9Hj
zYJubBF<XB*8c49d<z!#)yYGBS|6WBJWIYnkD0;08=><$Bp3-D6iLGA#S4jhr%&KqW
zak{_|6X-a3MFmP)CIxK8wL#NVrJ*BKAO1VDV$jz^f!W7zESLywpj)>!w#FI4hr2$V
zo*SuP?pT+)S411yTupnh$QbNAe*NR-RfEv1W`3bO8rX@ge9&((g%fA>r6c>*!0h6g
ztD~Q_V5#>0nAB+i_L$c<ERU&!wB4%X-Zz?X)%MopyQ5~{EOhj0=_7S$-1@WhoVx~W
z*`2ocKU;G!kX_v0lcNrmKffiboufjiMPR{xW(zp;-ZM!Q)FGizE#Y}D877Pe)yi&K
zfaMeI>ZI#xFr~W_y*4O<$Gf#c&J_z_cjWZqj;F#d116JL6<LU_Uub-!ZV9teqn8Tp
zRG~TX7BDr5gK=uE>kC6mNZuq6x}iY@wyg%7%Y8|L!HUYpI7v%blk?1qlqAFON@A_n
zt<CTyi?mU2&;ss!{}CbXqy&a+*ZIh{%)lIKy~r730Vk)7xF4QSfYSQ=hGuGW#A@%}
zH6;lPm~0Z46pfaHmeS4S(YQKd_rb>@1$WIMb+<(7WVQ@!yXfGMH#|%iw`?JOlQ9QE
zbHcUxvJ~v`lDmCQexB~}n9N4pGK00&L1U3wG1z9o!5rEDn||y_4JU)38Po|s?vT1J
z4D-Afq?eEZ13!Do#U%nbzu;NraVJ6W+zJ1@GA7KteoNpi4}h`|TaJY<AB6f$Bzi6~
zql(x>ZJ-hXUe75U`wnu$bG>IqR>dq>bhA~uK+hB~_GLoR5l+~0^Ix^$Zx*~)_+n?b
zlL`F!DER8;C@atxLZ5N|VL_H^&dZZ$j3N7#L+;NuM%eT~wK3}h3;wygm=|)_2%PM@
zym+102qpWYW&USbu=-=f9)?~+h`z@5%J$s?anS90ttvkY62fmKMuZJvjPZv3tFE8K
z5!wD;g9prbVWO=0`T+xI_%J2o>N84sKQ=TcteH`-Un=}~u|8N#vkGk0>LyJ7v)%jP
z2NPzf9^T5pqz{4eb$)VguL#$rsyOlcOgR1Zbwr!19{9^9oIcN4O}CM&+41ol6LwmB
zTnek!1+7I#o_*;ZbXD`@i7rnj480T;QYxnlO_y!e;+zKP0}&j{vA#?=bbaPOg&R81
zRJ`TchL5B4f`4<x>DQQ$rq3Uc^-mlACU~<sbWGCS?nbxSH!)!WtEt>*pf*^tU()1{
z_({JNGi2~cof&=eNj-f(XfP`%D_l7Di$3qTWv;M<8KXaNy*+%K20hGKPZc-K(~krt
zx=HS0LH6_Y2mNNWpkgJx;X7%O{?{c@`JX5&GD>?34W8A4sM{{FI)cmez*oHT`&rnK
z=T+XyYi2DF(vXraA+6GdOV6kI^ReUjkk}Z{O--09-!GgbwnooyVW=#!-hk)tMs#&6
zYeM*{o92DBzx1E!`|$l84*Y1(9ZG$p0jCxD)v8q(P&{Nudxi2w)a}*Vtm>fwk<Pao
zl<gVu*NC`uWiJ=9aO^+5#-ss`K?7P3&oklGAQK+9mz&X(S;;7WmpYtyo73S)XGZSU
zi?%PldGNtmrPP7PY7mqj)gms!ia*XJ+~kktMNL1&O^zfr=;mq~mb=D=LN9}KkJj_y
zvB(b!<<V3~oOTttD7FDhq|#Fo6b0}W9QI*nr2?76`p@|T2VRg|eRlFL37t#~&^u8T
zri#AvjAU)ZFCm@jEapP!H=FiGm8uHUt8Zt6lQ-dP&o<H)77-L2Z7!c(*T+}X?w=>i
zxbef7W`x$1C?1;(@y^Vk0HaJ<tOz47x-gO7T>CAK;}@=6-R)0-F>(|;Kk%X4ql1~_
zG%0j;G~4rH9|ewvo_A|W=U?B`^^f`u(x{R;I$L^>0&gxH5u4;9VV&U}h5=q#3?o&f
z7DiK`iRtxH=WRipQ<Pn3IxdII=O1MFHB#Wp;bR-R9fYxKEGFW>S9zR1;oxg+xc;u^
z30wL_MUkUJa8mn_B3|+vaF}aVg)-HM>=PTr@s0I!1&$>pEId;;b0dQa%04z1&yXas
z*4XJ{Kn5AvciORBN>u|n&(qA;q@^*TO7F@8OA0#1hF#v?qz*MmHhXO;gVN7A!D?0&
zfA1JtpsaK37S~!``x#k$*;DY0F;fj66bZd~8KDWDi(;nXC35KSF>6bsum*-!FFmh|
z(t?N4i(&WX<?(4xpMq<r269%oJ_#<S0gX{ulWL@h6A^*K(HAvQjbmU-!*6ZySc$kW
z9j1f_8G@Mha%dr3(!HqbuL}XL3$sO4%D7F8=I!aPg;Jfjk6SY8Lr<#M8fB7<gO^Tv
z8s%%D26;!2*<%AJab)-0#y~;dROW~B_q5P~#*n}1q!Gls59RwVQm|h`iqdyf3td^J
z?kO6WK;D($$o#jeIDCG1%>Sn*I@c5@to<<sJ)5ej>j$XFnr5f|M@tidjzL@Z037vP
zvc3O?ignp6UY7bAsOxn?f4htsXdLc~7y3rUm^)9Or*2fkLv*`iy6t8V6(m8Itf%6i
zv38QSJp}_UN+nT`m_z6`!^8w1D&Fq?s=Z*VjIr7pR+FF2!9L-F*YbKld9u0r&tw#k
zoj<dTRn-CveT6<>9im{q1%ngIoD9xtt#(W9u>kU}7n%+AD!8ZpVfNY+32b2~?tFRB
z0%o=b+!l`{W6|`Fyx4XjWYEnpU$D1;@`}AOn@GxNu=ACI>}fvK)T({^SJVQWOm7aC
zUsFVW_h1OxvJoTS2RY@nn?q!661Ui#JpS;$=;=JigvVSjFt&!6!<DFOJcUkj*tkPx
zjHp|pA6l`TppwjC=cO`>rYACJzW6xW$7Y<)5@P$Z|DG9a+`aw#dm(AuBhM4Q$L$@x
z>hXUghiGOH<e+qCSy%!ULvzEDf3_0K{^j-&)d0JGEl~a{ilU)*+Sih)VPd}<OYuG%
zfVD6&E*lRajJiI<xux|xQ66mhbtaDh^%ci)gL(nf<8yT&Qf7#EO3bes>87yu(A&tt
ziw}7}=5T}?%o1*S#+W@|0s}{aKkd@u!CD@2gDTe?5$fl2Qf7k*?9nS9t~tzwg3NN{
zA>%pXr=8+Nfvz!p;FB|3t=oWiQO;FpewO&)YKex&jNsrLligShE4DOlZojm1mYB`R
zG%GDMgtWi6Qbg}Ep@hNcy{e#JM6dBoXVZ5B*mY>+P}pV$><e^Zp9+{ELOP$+8tWLq
zAI?@~^SIyi<Z32D;>8aFWjxLlMCrqxdh6-lOH1_kzkHgVL#GJ-v!{1g_UOSA)4-(K
zl{vclE9*T!ttN?n9|v~@Z9VAK4%mNqV1~~1`pltU^5cZiZss@H$-0n1lV0=NJw^ZP
z%pdeeZj6XeX3HO5(t&6$;ewu=Z}gY}IbVY<BgD>-K$hnoI-qlUJV)f}Fg?OANu2lA
z5Ha&N8^#*7;b;N*AkOvEr5dhR^@t4;%W3ncOxJzoaA$>+Vto(Yhvms)$<2O3bKa>a
zrEHydb+TrWCp+l>#L}~T9KR48+}T#OR2mfQwdR7%X8P`55z+~VJ`)FA{U{F}Xo1SP
zmekbP_w@eK_R#Uh9wH)DZ>v0I-4{31@oGgO{YmAbNzS!y;&IN3xZq<=h+ay%_Oz;u
zempsDq9n76I5Og_;H9exFM<`gdfV^PZyGlJRGjZ5UNuIQ&Z7nloO5Zg=60sD_$-Lo
zr*sl=A(xUKJ8FQHcJjrP#2n)E@Rs4WkWNC`J@@|aSL%>>?T#@o{}ZCHNGD(^x07hI
zt94EuQv+Uyny(Fp&j^FthrY*d=psHv$VII2tHFtd<d4?hstLlQwSld;i=ehTICI-j
zA;*nLp;_V$@k0KDb!vP!p_a^hD?dyXz67Yvl~HO5r9)ob62(2l{+*2#nbj1a9^hLl
zqSO&rIlQ)+aeO9L3<shb7%1>S@hQ`YN&`_?MN;w2>mwrBWDW`1slbFlF>AI?6Cppi
zL8vbLE8#K_r?@|r4BZ9Fc`qKe5W%?`8Bewk5ETXe)br!Y&~rg2p=N6vF?YlIE&Js`
z!Y!BZ-b*Nh<Xa0rPqq%C`2OMl-uDj?Jqg>qdo$O4aHl~f^XE^5Q9SRN8qX18+$JY(
zWK|LDQqO0~w{{Upk)sLQ1jdNam;zak1By_eEth}%M-M@^Vm?7Ed?Oa`O=alSDZm%T
zB$rzKKB8#rivug1lSK2Ugg3i&6ri(Vr;|^`SK?6p*!$3ZQ^cK`Dd{Ko<e@jN{K%h*
z0RmjVNSvHlzYBqf+iBwR@HRTG)tNR#<no6P3iZzr*DKP)yHezUx~R1z)-g=H-_v>Q
z=ZRUOA^+gUG=4d-QV&m#zdcG=o_Zr{LYXI;@8r==rN~0(tGBw_Zhj*M6z^aVX_2tI
zO>FcNlZC)7SuSU)Cx{}^zq?at%Y;5p*o}mI8Q9F@?tV*hipX=@H7paiO4RwVvMthN
zpkladaIX3XVNQ>@Xd(ND@ZlIJeDO{imVfwOQEr_fT+X`PX!`e$cpl(a%IYo+%xBwQ
z<oM1KXUj`2JV;@LwczOw3iDE6bMkfa4b^$#eaC!SmJ2g%KW0YVtt$m1X|?2J$wgvi
ze_O{s8&)W+j+u48Bnh*R+L+&2E)$vjL&l89*<rC%<giAc1mxP33N+-c5@OQY%;ZK6
z;8K1w{>MxL_UFa&_FDcSv^OU#%pd0hh3MWa>k4rwpXHnxB{6_h2U$zdg&V}n|Mia<
zio?;?tX;`Z7=aqm8R=uq3p$R+T~yn|!0o{M^EZQ-;feXXr^{UYQ2FWd_vwpbFwVNm
z%l8;7TrCd{_|8OvEOo~8LQ64_F!6e`kjf5I13L-}RE3~1Oeri^NenKUzw?Or%>h0w
z(F+(a0@Ga{44bK9Ah6`|vg|)DShzo;|CK5Zn~VBn&G(DJkFj!*gcxq%<FyI9xmgN+
zw{;yHeIW*Yw6ehB1H7Q`QIeT1Dg%6MHQLl2;?P2F(5jK+hsc^9*=KFCu;XTZvY5IA
z7*78kuofVJDc{4dEG6=g)_?kMwVNcIva*cdp)CZjPaS9yuTX?r)$iuKr=_4mfZ^rK
zXc4$ePyc&vP#Gk0nmDJHq+wuXS5*5ZafoB0$uMbBz+UbTcY(1iSQ!|3iZn<<zk8*1
zU=9_+XQv;kw#b3>qX{Ozerf2updjQfpaBb?bss%_r2rY_f-X$~vas^adnxUJCX73<
z7mNxhgR-%{ZI84(h_Bq#@?6(Px1oqsnSK?J^yK`mKCA%ev}<2KnWTZYEj8LwSq-$7
zxqf7nD?ydoCf*``9axq(NMv2pfMZtsmkScekoBc6^%Y4M7&TNQ&MVX4X3LHMzoQh;
zNf&cp{;CUE!|qknsXCCQ$|dBYONENkq<oh39QEJyf$v3xK7>>LZQehs2J%+V>ub;H
z!G^f=3}XUDz^ePRMTe#VN7(N0rYPwFZO^4MicF@U`>*W%lXeYgzc_JYX0I+(r~d2q
z2?8kkWm`?L*94PebK3HobigvrcH3aD87M@hZ+(!c2@WUI%k6AvV76$)tte>$NvZ}8
z9J!jnw`sHIoUkS+${w6r)3Ag}9gF67XEY(?lYhIUJ{4LLmSr5-tzcVWc<yCxO}J)K
zRKICR3Gy15H^0rWg3I}JXQ`(&z~w?h^wu-7;N#zSE^EvRChd2ynVPACccIx=E+0{_
z)|VcS{$&MTZ7S-*4pfk-pW5kgj|V*8&*f*nv4W!&RSN2Y6v*WNd&aEmA7QdTfUDBW
z3OIz^qgzUqp>XJ8xV0h@mk(Z5{W@$3l2wo89_TBAqkOcJ!^1^7=VEeXroAQ1OX|Fj
zu8;!;!`>%@G*+xHp_dBWvw)fqd9g@i8Q4C#Xf4{xh1tC`MIpb<fwRi(=H6lna1v_>
zKV!^`7NyPQ!%pV#ez~$(KwJd4_MhFhV9JlJ8K0*^ip`+vM5bLvs{rJ(jaS}D7r+N1
z@_Ma2W?<|anRoaT4>U%2uGRXJF#p4;TB8d9Q8u*eJ-av|eKN6}eTanS1yAPoj}fr%
zA%Dg|9y2t?u~6AI3!)rLrNYKhQ(*n}a7jw(H&Mmr-FBWs5O<^&1YTP(0l~j{wFcTV
z#Dm03`^v{ic%k8<O01v>sBjA?G6wVz&Qoy~DrF>mcf~63y0tM}4c$#Rmc6B$*{i0D
zT_E8giGNi-$_O&!6B#~NjnF+u9F53ZNEklKM*rPt2pp-G*|Y<H(Wkg$9Xe%5*nH&q
zhEZ8VaG1;9JlwKGPwjDm)eR(6{7}s{7-0aqOzt+N*Z$CNdiL;2F_W-8h;>bTQXi@u
zzEk!cV8pwID-KP3Bz)G*{AFgJJ}gm||Jc1^MmM8+)n)?{KHckH_PJdTR%T;95!0-=
z(e5eto^vF;VLD$B=Bx(~FaP;|ZGj!R!nQf;w2{ze?-SYVK3$lzthoKEp96mxbL)Mx
z6vW{6$HxSY>B8s88~u5u8&P;=-<{{Jf>>N6(9zAL3zwV^*6a`7gh4tITbhG~@U>0$
ziRBy}NC==mcG2d>a|$-ix`x8&u6Qai#aahGC$Vp?2;#w}z7^?jBoTbavATI|P8&v*
zjbctZ^Wy2pu^--T6vfsC(fhRf+Q4PS)%-$-4=pOXqVJ1|VdCKpQN7;UP+ckARwB-i
z1!|eQ?XASo)PoXZN7V**G2d3>jRM&8$jjRHsstWgVb@~%v+nE8bp)`k&++Yc$}rD}
zBnl7kd!~2NKrh+v<ONni{MF@BJ57;BK}AlUr<F7?%{58y;}=4n?Vky|U($H1JMA3X
z0~)9!Swd1>7zc9j?19%Z_)uE!qia45P9_#D{oXBtUVV{q`dPB5yhE%%W<5WCWMSJg
z9xsaAz8cF(7v!)xX0GnoTN)_12uiYch+(0B%(YM6^0@YQ+w#OW8r<?T^%YT)z*>{5
z%#6Df@a)C(;1Mxx&>uN_^70i)JU-sQcgIQ*hgUCe((%v++xbUp+VfJVyibUuR!0f_
zrPF${%eBF|sxG#!TpABrJ_?wUQAV}0!>+HzbznMru;=+18O+LX{*Q}|j7Ci($iA+h
zD@@@ISM_C)lU-6W{tFqY3!UXDGP<DTXmc=ZO%@}q(w^?UtAhUb7=5(px-iB$D{+G^
zhw+0-j5AIYjPVt`tL3i;q?Bi>PGRzxEnvZaW0->MmJx3}sruk@T+E!yKmj{k3x9a;
zSkJG0jVD%C^?_SIxubeQ0V4}fseegdukY0T9^SE@FRb?dCC4k`h1lTIFD0t@z$B=k
zufh=CdG<5T$|_;LpPrz0hAJ`z$8E6BHUb5;?A;}KN@%V4-twEhDn1I-Js%Qn46A9^
z{iS)7@$*oWMSL9vLu;H?A09OU!-3tWj1DQIYX9HyWNr%bIQ=<3Y-I`sKCU;8rYmEk
zY|6m{aw>R^$=p$npMWOu%ACR{$~Y-YSJ=COjAbYDzCUUtU}cL*VcvaZOg_?H^1en1
z6;3WD+|vgLNgVI!ja0_(C;sh>@=!$9Ygzi{>v~lxn`CjvSQ&+F|NXc=B99vb7RS9x
z0p96HwNU_5K&-#Jm5|}lvGAyUa>#e4B;K(X;Ltm^im=^EsPiWNqS!|nOuj>>)cpeZ
z8J_cfd$l4uB+IfVnM>o%s5};lRRCc|x2YdoirA|z6B>GL{r^AU{>V8GkgJ(Ez_&#K
zqqUi6epRB#^<R<g!vTO=t`EP<gXM9tFiK5LS{ONFP0#Fm4G?<GDQ@hR9G1uRF#e>I
zaEGU@;H@-(Ti&geIhC?F;WzN2D~BIHknU_@J`9j~F5J5KlME`n{<`K;%Zoa-jRO)C
zfWCG)zbota6Mw{e?h=&;pPBHt*L4!`XJOx!Exgj0k(zKz;qfLMI=4B}-I0I|4M%r6
zo{&TxFV&ii@Qp~{5%24<o{MF5_g<=Q6vvPq45KXXIj~VcPJDo33Rx0cp2nDop{0PQ
zO@HtP6wXyQ%1$wX>!;myVj4xz%8#ZbdyO3*)r!C6{%Z_Rj7Z&W0m3NQQ!LW7$cD=e
zmwz1gHipH+7Z}@hgmBN!ZpQ78+3*fal6zXS5j^km89O8(i1r3s1?!5~kU#%noUfq~
z6q_|!4RDh%J0<Xj-ZwUE@fU47S6~R2_O`}ZDhuGLns@yfyV-GPjrLP3Awy8j{C3^Y
zjUUzfUrGE}V#ghw^E_Iy24Hn$v#Zu4J`DZn{#yI(2GlEE@JnPc0Au#*FQ-NMkWhD0
zKU~g%j060e?uY1uTKy?WaxO2*=|248*1(BH{O|UZFYCd%%f}qgnDOE_{W8N=CN6~f
zV|%AV^k7i@c+#0w9<;UDJFT&A6P|rn{_rxR9-R6i(BRm>gRkWouBEqZMpcE9A5X98
zf=Az@OSDoRH2--5`m}g3cT0WeLvdYr^~TuHw}c1l(stqi7caVToc;TtL<c-vHfcK4
z@?iBww*7^RyeKm{5j$hA1J0K_7o2|Z;61hhn@2Nz_`%nq;_Y{Bu#-`(;Z)^C=`Xn}
z3BUPqrDw(=Fi{)!Tzx$#bCDO1NO!;3AWXvaE3t~MCfZ=roX_bt!iz$^gKS@|1<`$X
zM9#oZ8VIqCtY*6N;nAaKj`Uv@!r*O&qJj5maA#Y;Nb3|I3h4%Tc77E`^3?4UX-8>5
zy_90U;RZiCKE0xP-cA%1PfQ*8Ort^9rZ1U$tORf%Y2#DxdNDLlea$n(N&}9YbB9LO
z_j}c<CXwlY1cGB(&w)WLI69G^-TH%s85H+~AWkXl4qOcof3F2T&!bP94+-MwxB2Py
zho#YJTe0%oGc9nTed2VO6vF3YJqdl=W$<6+y-RInS}-=V)c>7L1V<+>-ur4Li;d0y
zvAuky1)F@W)qm@W;y_Borx6P|6w~iasOr>$H<r3rr7wtKz4mD8Z992n(a;x~{i6ku
zSL{6KpTyDCy|dGFofiRYe~ixS(10Q#`Dzp-(Zln~g8(l@EMRSP2)Iatopn|E`qffc
z_@ioiOP~@O+LUXI_N;TK+|<)QZ@upt(PPRH%J^4_XYi%1HoW~pzWMZ|44$4}tf`D9
z<7a~q&BqPeP_yGW?-w&!Jg{G?W;sj+MT4%*s(P+-L_{uyMNkf<`>YR;eJEHM%{y+&
ztqVN1JGXzHltZ6I=b9BARZRIdo#WrE3w3Q_Sr4n_@h)xPW!|VN{w6D~6yDK;mpvNy
z_r@t;+0N)8>Io`3E(Lv+yP^+z-Rxz4+Z9o{_h>~)0~O<+?0#++VgSAW>{dlMl<-LC
z0fG8?Dyqvo@p%+%2$dRNPWqH6p<c(Kl;0y%{Ho))#Cy>Qz8TaXwy;u0yFUS0`sq~6
zj=r1_c-a`bv_zdsQ5j|8$p`GYsQ7Q$<GV?W3AD8|k1<J;k;Q4C(a1~{pL0Gp2)<+r
z0s{A}mJX1ypk?Uzbpr}chx{rM^Cw_Bn@N!IA{lihS}tu{C1b<Kt{qQh0M;g|TaN^j
zG3>f@(qim72O`v&1j7LAd1``AI+9W4)c*5-=M~X9ysJ&D5kPON)FW>OGF}}z@xj$X
z0W0~{9vO3*!G7`K@xmL*D87ACu`NOlf5+q;&D1diC-=X@$$yoQMT^FwUL}L?9yVyR
zY%>G#TvvXt?Mi6+HR`w7Zz=rzG&Oz7#SGFGBrP~%6p@}(`9Lp69Dl2S*|*ct48$(f
zuKp@gz*CRY$2-r8An#yU^F3WNuq^#t+>Y}2@nyH!WV|3gj@iPN%WDQvz9Uxx>*eqW
zb#8g<4}L^;R#t^UfM=3-8bTUm(cVGukYpAw+6jFNktzVt_3FH4*&u^fV;+naYTQV#
ze4%xGog*syxS;-{G-eL!jz4&_5g&PMcdC;Bh#$Yv%~>FYtvWh>64M)Sj-%ss@Ld90
zb2>`<Yb5Y`1&@?U9vcp|?Pvv70@}E4{G47AL&Dd~*}IPgdtMm6rFfb`iUwyXhovZL
z4lIoxiebh{;i+SSbQ9Q98m7-vB#eVnpKqSdX2NF0MBxb0b)VqlMrF_v!VXc!HQ;8#
zUIo>wSwY4i&6M(m)J4Le=q`$B3nR|-I=y%5FoL3U^+V%X0w}v}BW1L6z0T5oZ;!SS
zEbn=c5fjdjrFR=VMnsq}O?tbkL7E}_4*&rF{|uLRIM#g>#_hfL-j6+=!DIU!tA$iA
zA=#BmvLlri6<L`rAq`5UG_B{9P@)o%QK6Js_R4tu|GmD~Ip;d(zVDB~Xt-itya?9j
zN50m-z=DgFlQ}z<P2sVc7iaWsVN_UuV)365E5>D{cJl<9LN9C27V@AFI_)pMP{qQA
zvEEmU6532)HLxY9(q0H(O72SIm}0{O&)(?;dlOg)KAbsxOc420EY2Kb<v^j(i1O4*
zV-P$%VH$W-0Gs<dFFmJlB8HaI_81w%P^<Am!74v;@c1fg9_7Myq)5TSayqn}&G!yW
z;>R7nU7SmO+$ffj6zof<!;}6$4du4{_>e8<B5wdMzK-bYZ>TncvmMzMkG1$wzHOF|
zvC4;bDM^B>8;zhlE{57_#*YQ9x5gHq3*hmtND*4MA^1APKdy@6$Lte_GdMN~;d=Li
zq1-S-m=&wq;@8QK8s{4;oot2C&bHvgK7K<8ullDnw@Uy`JgkpybQVGBPSv76_i5nK
zO3`1C6hyyV-+A6(Q50Y)^o!n3gR85h9;8V@EYW(=T#+Y+9Oniq{McwvP~8+(byx@;
zyIhW+=@&<p*ae343o1-<o_HfJAdIzPT-=2gk{C0?S1KDt1?GLW4_uxKBgtozI_;hm
zCVp#pIb%Wvw&-z(x^NLZs_NV9Y$SsUqHUB->{PhLN8zor6~)nGjV=S9W$}|;*!;&X
z3S?A|l~ieoVbIS_Wp~r$u_LD~$D@J*wabPxQY3M#v6nUw3{b?&<m8i0Hz@Gs>^)W+
zx&*#^U7y8Utb|Y9O9gbVP~df^%Z+p|Ni?~(TTtz;GQPALzM6H70{-mo71mdzF#7vc
zBvhzi^_SIL^D+tqh;JnV|4O6yb-QEx+EkI9)Ajd(778RRjookekj1E*OVir(YWS|r
z-~0?K71Eq<JQnMc!=sfK%8#h3qkP@w+`sFokh#n$V-=!+vKK$xx$&O{zOix-5GtTT
zPyI*9IbJ0^q_&iynV^Z4lXtfOKMj_KI`V~wlyLnouF(7CTG-MQystc+1}78eI4(3R
z<IiS)mdQ?S%of+|@zpT|A!(K6(q}5@A`&lNGogbWeK(?hel>)pZ|!XAH&t=#?_&Wo
zQ@VKf<hZA2u@NYEnhu+1s-dAnfboMbdPpgfIboSZ2kXP4>?Ls|JjW8#d>~gJ>wm6#
z(N7t}@nl_}8v*J#*=MmONW%aZ80o`IsU|?#|9o)NQUeo8zKx2WFu+f_Vjmsun8FwT
z=-c19G*Pm_^VZo*26%X{&C1<RW?;%XqH&p_i7PV6VMMS2X7%2$Dq^+(rInkWT3%XM
z>|ngTd{!SnsecHoC0l}b{`u3jJz5xHU@$&I(?`3e4MV@&t-v}$Xq?+j8*ho+G1phu
z!+nj)lBwYY^as18I)!PY#|h5T&K4b%G97zIG6(p%>D9Xr$F=c6P9wd}N*jOe(=f`v
z58!ZNykb5;8*B3GET2Sc;*&_Gz}G_7AU^ZF|A@RcO83e?!bEixw_ZB3!^avN<zF}L
zxu=Ees#>c;PpjcF^Q6G?MQga9wpBn<LJQgRr;lTV3W|CboYJkfhQQOuZb^A+B9Hxr
z2>E?VsLl5B_qrx);BuZx96zCf{@R5(0)2AW$x3SoZm@>rsJ5uiWOY2~_O-cLOB#QD
zxA^2$W)1J-O4rB6lkoS*-|Jhe#c}78iUq4gYcSn$m@_X}4Kqe}dz;)AL5hf8e1wZN
z)L!I%G3um>H1;JUqaH!bVj|rL60-(5cV5RDZ50eUb0D9l$&126T<cE01F)x^=l;#5
zjAItp#~che@#ALd=dVWqMjzIT*mNqQ^hIW^$Ahd`%JzhLzXm`{V}IJhBYAXX*$H>o
zGvlwt;rq$?1ZajwEmz)<#TSPP99d&m7$228bFxRRz~jZyCYEw(<QJg6st^6gNYGB-
zC1GL(q|ebk!hMohUHriO`L+c{d9!+0^=V7sD>QSGqDUaWff7ZZX`YdG_it9qM+=BZ
zdeY*0LktgaeJ^?KImZxf-+0na$pXd-4u)Eri=y$h`O1||bBx#R=8~_&&Eb`<eb9p$
zVH8<puf6zmj*%0!<MZ1$W-z}to9RzNs3!R;Ge2pbp(na??zV~<SZ`;$B5*?x^-X8=
zyq_*G%zSLkvQC)7c&?eb;SYYiazIg^tox6V9HSjl)^7r_uf7Hb`SM}U19l<1z9q)d
zeoZyujV7=$wR`lU6feqUr5tl@UST-;YCU~bZVXjr+Xr*Fc(COAQY|%#30+r>6`ECy
zq5AIA*Uoy}_+QM`0JF=?7#;nwj-Eq@AABDJTTgSLv)#Z{K^qHRv^-nHAwY+#!<xGS
zxw+7`XoZhcjSZbjz1r=Qj3EEhw#kf2PGoG7Vt;&&9j{xYk1+8XL3wQTK8=f<nANsW
z8OO?rpY1{?Hl!PZ)oZt}_IaGxxov&Qi)=1*?AH!Alre;>B~$zT-*V#dBkSapt$EPa
zfe7j?ra|>C>8JLxTxgtIf1#O^4<myfZVj`b0m<{$I9~=A!k|nGX_OyLTjC7FK2u?i
z`Ej-8T3?mBnxxvs1+nFZ)z8&%Ds1XoBzcZ<BQIUE!i!HB9~|#YKO{kgf1V_K{DB8Q
z)_*BEL=(Yt%Y}vw3<`jNi0p+9USt<LXYU*$iYYU3C!9kla75rtKn5E>?qxj`p7K%*
zUCjUWA0ts<;dH0gRW|`tk~Yxk){(%+moGH8_LISU%0Z&JMG$j;-1qzXKoXxGV<QjV
zCc`y9EHtkW!r-yA6isJoeER)_^8P3?-0vJac)mawsRj{7R9;#9t|M2h>PUvvxE1@N
zt0Kr_d;Ff&fE=ozNy3sY8Lo=?$GbleMNaWYluh3ha7y*r_a!MZ6hz159q$xFpWs=u
zLr0YGKZnN|&cbByqSr3>%1YqX->>^G=PKhZFR72Vl4Q_-)Ur({S`u~HmBVamRZ#o-
zt750M|AS|0Yx+l|(CG1nggeWs_?J6nkZl_ojt1+TaEz5frge{)PT7+%=U~ct<s>pZ
zXiB`bT}2M1EHWJ4TvSK=5%?>zoeTp(XVZ@SkVn?ankOaG8YoI}4*zCCft@BLT7^}L
zIQ#eF=^d_GSVXcDG%u$>(j#N?;%6na?d14x>WMZkuzXK+TJtr>SHbPR9m*(RT-&rw
zNEbVaO!xd*Ds*u^+IXvXt?md(SspJv6eu+K>;8%crfgFOUH+=#J_RQY&rE$Z?Nn|N
zzH11Z-;BI*WFn!nr%TV45(Avc8*aQ*W&|ADV#BHh)z|jlRd{(L8Lz1E#@4jZA*4>V
zT0vR^J(FJE`CUXtr_l!yB77#Wb7C*6rKBeADjyCn>LKGL(xsAWPg7vYU-_|>O$)t+
z2IZRmkdX^AulrV-0mr?@9D^<`q^N{7w0tIG?xm1bF*OTlKbmNEJVP5Vr;67_rINAc
z^TXP#6ie92_N7=zLkIK952aX3uGPcyZe8jhE9mF^>|~swgO`WhOyBkCWA)cBh8YR~
zamDXFbwB7}&ZjM+-4=S7TSBA0eFjjl`cLyfmkzp}+=h{xbg<@U)l8_BHPqa$_GW#g
zgNL_9cg9F-p#tUZLi2rV$Z0P=^wL!a6Ca9P>8n)7;^}3Q9)}I^(67&IXwb$1zK3eN
z?bT53S^%?%tqp7oIUTjgt&Nf0eno%ZDx+6sK$Y!o8}L8A(qE;bg?*tz-X6~t(Bt36
zoaezduwP|H_s-hf;#nqAuS?0G&~|Cg-QG5ks(ozy&R=!RH#+z+?Y%g<UY*@JZ)yXk
zj{?5&JtASN{H4D+qr%8>lt#{AwE+sh_alWpYUrNXSAP2+AO8H{OFL3y4OL0^6}v=K
z@nJL{=Wc#ZOxuvDI}~gUc`sMH3Tl+`%b|KrZax-NFC6gwwB}QXj-9$A5Tb<YSEI5t
zI{z{3AJg}=JONnEIJB3sRRP=PdXy&2XBZECwlqop2Vfnz{Ql#2S#)8+$I}wy4DIj{
zN@ouN56uf|>8a9qFr)i)dh8%$_BxHUM}&a7(W_llKS`_+xcShY^#@~z+;O3?4OSp*
z={Aw(DUSbWoMjIE-x!{61uMo+T0)(r*x2W|HQhPn_Oa!67en1S;_=ZM3lQHBef0P{
zVca9I*;D&$C!+u~R)|$|FnNi)^sR+(n^X(iS(`3KNePL5!_FKIhAAjNuja?1v4iVF
z?)NaVqr<v;Q_WzpQC5s+9WTyD4i3ee^fJ!G_!sbeGlk>i(6f1x+_;@=o)=Wm&oI1U
zM^>bo!kY`{^qloMv4U0iPg>XjgV^-p5C3@+=$aQh@G5~F?<|B!s$>r`d@~zuYX*(s
z;Ael)WN9|c56~^(TpVF&ySFckIv7Jr$yP3x0Tz6_<KLWM)?db(wq5HcAJW132D{|n
zpUhat`q?b+-UQ>k@X=&Tc{+$Xva5uPF=Oj($35q6PBFGyJ3s45HUf;c{78f{VS@J1
zY2Jr3jFvIe?=P6vd?z?JL3MbQA!OF#U;J^7(doQg`6|W`<TW#nED@`Ww#m(oW9*BJ
zmJf-;gVQt^Wa3qx?O9<2?K-)*>AxjLSLT?CN)!#GeH1#Xs#X|L6?cA5R<1CNtUE&X
zE>Pi72|2i`dxg;`8h`9tArsE;;*G30Nd>Qjx+*#2RmS+d$GgNiW-KsosFxL>LZ=by
zTvgL5W8zER*>FErT(X`H&R)y^S_#wgxlT+N-<tQ{v7ZeY%~MC{Gzuu*)0%7l$b|OF
zs-YamI8d&CPrFzX8D`B+@d|}9W40VSXPqGz){aH%Y~DwP4c-Op2|6q&D(*Y=laB`}
z?{CX;^OB+JuK4qMR#sHAR$|O^@!`OZBFiy<1BiSz-SlvQ6=~zO``_pa;6(dNx7#oD
zVNXtF_5lHQq%W&*X<7;4kU-D&b{T#674F@;%a#L^T>LJ5J0^?{FD8zV&+5SuVUycV
zmpSq8?yK{UJJx(@LZJG>sxB~{KjAAU&W*~c>RH21VkrOQTq|>eF7(kq<*`5I!PU#&
zy6@IF&P4FFVx^QWIC?o`#T@6u#KKdPH!n(J*x+~|wMqw=x)iykBL(o09>+9>N#h{v
z<bK649T*lDjPrC5!V>|Ruh)mlqOX{X-WgLJNc()bKsibnd+6FE!yI{JI<oKvC3PT~
z=>dE1a}n&1ji(q4D58r;npdKL4opp6l$DSY!w)AlpBfsh`QY&P)2zxm;2})R(z3+S
z>gm^U+DR3ZV3Kfoy-f$K7Iz#yr!R@6S27*^2URiO_rmp#+d9B4osg_OD24o9|Lq(P
zAmNFVjmfB{3x_N6bb4OOpt@p2z3rqrZu~sk5dK~lHv1ZO{i>A1r#GJ)yiC``ekJK$
z)_3$kod28m_-6$?a4hs?nz=Ua<xZWbsn&;agQ%|oXO)n}sQ9(}m=2otaBJFglHvLv
z#~tF2l#wzK%*B<jhvRoPq%*gW;m3$2!)8bY>E2Q2v(_8nvxjG|hSpGE=uLgIo3<L7
zg=ES72_~b@lm+MZ7AmA$wO#!jM#3Ac)c7qL6bwpP)JfzqguwJvU*k31H)ZwSw(|`I
zOOxPR<~}31;LLook4Y2V-qd*E1}aMF9oKajr31gA@OEVjElkWOmA2+n@jvT^@!&OH
zb8sEmWw%=!Z%}+)H0r46B|x#-vC#}Zy&m>%j?lrP9QOk@52<K>)93mhQ43K1ZQj@D
zt&56A&MdLsRBZpI)==7S3HQWb)H%!R;X%dw-tXR0Fy#*@=ob@^^(S<c<F+0yzHe{M
znj$0Xh+Ny;9RTzD4@*8z>!GyU&|11PKt17~)W-*{!9;1ja4fSvUaWc8YNM}*jOYfr
zn^HEwoMNaf*r<oCv0F}OZ_vinXH2o)MK+Losc_0~vmTNT)od@(*1(fV%;oyLws1k3
zpTvDZ7w6rd{+BqZio3GX?DuW9g*_p&k*2w8960r;dAM2$l?uLch6dXLlmFJ=UVGO#
zu}!SZ)mawrns0n|biXY;n|$DPntzS&Zgq$^oEJxiT)4aGMq7Br)a`jMT?4PjD#Ye*
z6~a1)z+p=PTWGtIcSw7QgvDGpvjz6A>9J4nmh&|>aQ)L2_kSL0$ise)qkeIPaVv6Y
zO2WqmeyIktd6cW*DR22Fg-<6KiQz9-!l$jFu=P5#uaGj%*J;dKU+QM~KFs3CJ!K85
zX`k0Zo&u)(^-jL6tRNCkHy79QS%c_Xo$TCivN*lFY4eSfy+re6^5?W{fahPY?>IFh
zg|B5db*Wkn6Ng7Gn|7|{kc@M=S?kRt(5%(bV14p9aVW~=$kcxXu(9UKpDq(cJNMu$
z@5V`D^1!K{TOn5PJ6_sk!9y5xyKg-N@o8e`W%GgV3zl%Lc-@PRU;zv~rM{0*I88k9
zZw!~Kw1Acq&aEBEJh+?h?aYR}Y2qnUO?uXdIkfZM3$<VKdya&&FBSBsiRJJ2eo<7-
zA?Kt*vDz>zmM;Vc_C!n(a^uqRm40UMB%wDqSDqPPGbM>?otq?5`&<=%+%g58@gu1r
zHp`6gK0SlO$0vwbB@L#nlO_<H`2Kul&pe~H^>)aIedC1tOO3v}wkF`KuFdyoX_}ET
z0vf+={UL-sYM$g>Hip(tQDejG2?lACOS;baQ9^n6q<i};9X>6v2&|)xF}yBc%5F{>
zCX$yttNGmNU_pP<F1qxap%ef6KI!=&k)X&$Tdg*Nj*p(Ykq3V;GPelY1PJ{mSXL)Q
zA~cO4DMmhQ&&W4M8Q(;V-Q@uyAY_}0VXh&x@;e0GSngmX$=HOHx&0(UeP}JBYj=IA
zQ>Tz?qJ^>av%r_W@dqJQTpBTWf(HA%C9_XEzGWl{$wx#T>?cTH#LguDqe4o~z%>&V
zWQhN&JR4fyM=Vv&uzfpBg<=YqLXgb^hT8K?T8ncZkzBO9r}`fS(lwM*r=7wWIaQL6
z<+%F@VwD^sc#;D2GAG%r{@X;=f`HH0@m@k;b-&?rZVDtfCuYNoX9PTZTJws%kN7Sj
zwl6=M3{Cx7kMgWv5?_+-iHdc7L`e+2^`06TCS^D4Zndi?9(r}~vy}G{J}2L6TnRRS
z^$*V6I<nG8e7zBoWW1@LSnpfS+m@>j|7LFbdz}41^k`j)_UHRSTxtw)`re=ix|>qp
zu`RX`k1n6;TVD7<WLOu9TwK<Lpz#+)b2@EALhqTBRnY;0hsU*`+e8;m3;wQ8@NXv$
z`19s}^ZZ44muq?_9@YWYQqO+PTVDuSnf1(<TYnQ4U8jGaVrWA`U8m^3l`i7f{z*Q@
zu_5BfXo+?yk2Zunm}>5h{7QTXDQyb%8X;_Ycjt`k&;mD(G55Eey~OqGTh!1)V?<nJ
zm78{%CVbg>(LW}rk2t!ECxO)bml!X7U*f`}2?OL1ddyHip(_0^&y_Yo+^zg!wqu_L
z2)hY83@7{~gbK5*gKta{>kVV>=r^mwb%ME4)&3Xp(`o#*uH`flHe*U^G*X9q_cmOw
z(itQMm4^FVnP-XE1VNH^5eZhWPTa{~yJwkUFIknDIpSSc#m;TwB+zpzpOrp6N+@i4
zIq4|BNX+{CesM}xgV#5@(??eR5Fef_>MI^!BBF*jd6T)+K>gt9^}0RdM5Ne=-Vvo$
zBC@VZUMf))c=zU<koTM<&d~cMW>}da<Z61AfuJg!&?x-L!!%8(4UZVQUSomyqaz(<
zmsMc!;}x3NhZ$lSxqo{Huz|sTU!mVRDo_?D+x@a>j`+z!4m;|`0a`JSYG}2}@cI2B
z3a%^=wQNjf=Z<qhvGdOe5kF-Je?jq%*}FtM*s!7Hb1x6r2Sx-da416*d1-!Cc$F|&
zG5<|H$q(%2?t0SYN^s!wmM{5C%)onnwKke21a`VU2PXF_L676|<g>N<)V#jy9c&T?
z7d43+Et*PTAGi0eNgx|6Wr`)Lrinsm=eq%$K}852xv;#?n*+{Y?QM@fE)Iedl~!h#
z6oKv+q&;?y3u>gf$gzczu&L2+0rx6`-X7NS$`Kx5)8D1;z90>rVt?LEdn!WX2A@!s
zWPW%V-C<;RUJho@2eh#sR)hl<0@>ZhLg06^gt}$z-RAZp#hnd`kT?wMRNo83^K$jk
zD|BV3zSqO}tDywxGXA~Y=S87BIl`N_Uj?M@RewuPRRTkgy;2hq;vm!H%FXgn4H{f~
z>nr4y!TX`iCCx-h7*de`S6`$KADDX7pY$lh&MJAE`DSU*djE0!%nMCex2^1AQ>zLj
zzu7nLWG4qp)GJ<tf3@LN6qSDupBnJ~s(fcZrU2cHiBD&3^kC&)q*q@$3A!Ckb@u#J
z0s)RWlJ^}0psrja?Kq$TjaxKLv-hh2A?fIFUVs87TMVbDceH>Ybl+QYs==;dy~C7s
zRA@;vZ*X_jg@Ry7RqkgbaO!q-EDxta|ECj0deH_j_&)K^P^1R1AD=s6aLy2(PSpi+
zo~J<A?zWltrdn_;=zFwJj1edvQ2kMLX^ji2KRgIr(uR~&F3}Y#9ZH$I*k*qk!9Ycm
zFaJYbDE^QYc>5L|486XF`|LIW*WuM8zc%WFIdfWr{VO`u$jkpU5-^92s^4yTJTm|@
zP5WGqXgXX9lxrMlvINeJbwMGKWRRP^vvRw_2q-4&6D#ci_R7yLN&F^*3zykpM&g=Y
zpXaMz&9ny314krx=u*J9v|l!Shzh!seViBSY~V>4>r9#z1vUqaBnS_Zp=ZL!xa6HJ
zm>ey9<SVnLyA%3@u_k(;WWMEq>J>W}x?5ak!63tv&3z;Rdrjbz;y*m3YY!c}sHrCm
z$na&KgcG}=DwG<B3)RHggTG`3`{CZT9D0oPy}~Iu@Eg#)Wt3?T-kJ4NF2Z^+%CGRF
z!BP~`<DR;VgxbTr(4j5gSaiVffzCOmCUz($Hv3SO?V)CYNh+&B6XeE?$0Dr92p^-4
z&a3zB;LG8Z$h%?cP|ADypz+opjMBK9R>i7zuvLn3@4K)X40$RjM0+eVbWVNusZF$n
zQzm{_Z#`88bpxNe)4Mp3rE`3J&7cju)jfSZy+Z*m&U^S-nDb#s`hAT{>uliL-`%9l
zNEu)r%fIs0LI?vb%bG9VwuZR0__u0XCE$Zd@X_4I!YCp`GKd$jhSGcHw1_AXV6lwx
zD7`I${9F2GCXWIfk{x||?j1kaKaN*kF%-oo8P}ee{3d`uf6vyib(~PNkK+|JS`<mX
zKVwV>tl+iLhPB|u3^Hl&hcn_uaoq{c51vz&&_C)fCcijG+~aO|;SwT>v2$C^i-auK
za!c(NuiK*p7f(f@$U0FRQEV*zZf*ggvoT77#qET@gjnrXF;O&dQ0HlnFo%K{ngWVV
z$f#`Fc8KGL2-e*Cb;jeF8N@0m+^?4FXHaEgyZK*;;Cr@QwjJzdFnF#tL;m6)MxjG<
z)Ws_z`02%=+2Nh0aFqh#sYBC@sdCea_|!Fy>zX@gUu^=T2Q5cOmlha-hdes&W{F^)
z(}r~oBonwctW(c-WrflDceP5sOa#eoapmLL#_;X_FGofYGtMOW-goU6L7OCZ!jIn=
zF8jWxn)tI~9EG0krz?t)8+I18ou@-{-VcfGrtFyU?3xBknkdS7bd4$s(?QQIrTXJM
z2M+l1JgMao!{^FPA_jRz5I43(s`54$GW9i$2o;E-rUknwE7=Gnmy4%T9C>i7+qGD5
z7RNX#@5^Ox4Z)k;^bKu{7mo~w6W639P_bkS#b>`EG<}bFBbLUG%We7RLYE})p7zP!
z4I+jR&#E7yVl0RoUewnuEK1_fcrnY0mo%9F@O@!CQV4}LTl)`*Nn_D*{YH_)G`RmV
zBdx+!7*+T3@0HmogR@!3F4vjR!0U_SnU91B((2p2*)GZAKaU*g9n3U{?2IrRTHBl4
zjPpO}Z1U(M9@TrGl?txHLjh@YG2E6JWPUbD0nf2)2`_s<h3AXo|0%B%M}n;|uTESE
z6Q!>_9m}DD(#?o(&ATKpeX@VI^^_7i;L%0aBr0@j`lqC2N@D%MlX8Wx%Gf3|MITJ0
z!gb1A2&q*HwT>~rIrd2f#kX{9EXt*Vt!~*FZZ#P!J6Uh8{z(<9FJ545eoTcB{mMJL
z&d6eh^FH&)E;Y2fWLPQKM+N^ws$;7Qav0<mQ(-qmLNSe9#{?B=Fz#HKN{ds#%KrvZ
z`u?e7Y}_l>un-zl7Vu6DaVepRBk}Q%fF??s2!m}a4UCT2?oaJh!UmuA<DLpyYy8_5
z7vf+D5~h#*-ak;rIuGqWH<C6I0ikb;z8HetU*F9_Nh;`eYN6gmK?g5tDC{*oVg!$#
zZg$(cM-^?d;@t#Ub@ASGoQ@QY4nn$oF^V>7$WgB=a<54juju-;=dRM>)t(cLxiTcI
z$~_-H5}}8AHDVop-;F^h>rKY~Q4(6%)e7&K(8D15`n}sfngA2`_>EuX>i9nZ00960
z43~F2)o&EX?Y;Nj>sr^n*IxHrBk8AUB`qrnrKmKO(Lh7dAS0w9$*fS{BSM9QL}rrA
zkQEs}|9)QQ^}NpWdY*GWpZ5)SPm4cR`sm+wg6+g7GY~0jKEofZi4AAwCk37Lv6bU|
z+EBYWjP5+x^ITL5^J656{dM%Q(<7F1=$8d_Ik$G+&C<d?<^4`hReI<`ZWCIZvjo3s
zAN`k7Bz$##PLnFFhf5k+YNAZm5PhxP*!>U*X-98u<I~s0E^3c+?~*leg_{0w$tK|h
zAxw*4*TEu(L+7P_(Lr(J@;%oQ5~@FNP3d|-!h<$nB9H6@sM0H5oX8+y{{2>+ACg)a
zQy=A=TneBib-@1PJ`zd{m*&{+)4+|N%YwL=7~pDtjW>^zgkREs_08W?Lr99#3^ZZD
zLqn-Ap)pz*F~=NswoV0)-RC@|wUYt*A*&9n{hAmndvdSHtP+a6b(!-#$bdI3{nlJ+
znwab>$usJyfP9U6`rfVSIvj%H<4ziwBJI<G3o=OGcDwM|ZU+2jn+iGZt&S_5@#pMY
zB+;(D=|B~o0U7gqS?>p^VV3#D<=@j{xV!N3g$Ypxm>0a1-RZB2xhL6EgndM?F~VrZ
zv>QMoG^WvKuL_Qn>KABgLb!Bkv(EigfP}Q&oDv?&D5q~NNj}7fN91=g_}u|m;q%Gu
zu1YB8?&Mi!#Ere*8JCQB0X)q-&IlDK;MOM&XS{B5;BV8F)27GiAe24P|MP<!uJ3*5
z`t>v$E+;hmiM3cmMTy9x{3RI_ypqMf{wE8vn<exq>RLm3?HF^9qcke!lCRhk%=oDA
z%&KU#6_iX#4GtGe;(K=m>2u3Wcr@(R%*HNDU=m>qJ4~0rOI}LdPB)qGMB1gAE+b3u
zjpku?9}z<@qvCkxqfB@$bid5C1Pj=n8JFExB8r>JC<{7wnD8*0pfuB@IcP}p6}8<L
z!LP0%ae32Bc;2buN9I;@sEEBRm60cm364!KD<hb(@6*Dr`cgB<W*-~#Y!||`kc+ow
zjabn8IK{DC(G1F3c&Fx-giy;W@T#~lD_W+@e@Tls1>0wVl^6L0@sHiAqBuVrGPsP}
zQkG4i&ws+3RX_mG?ru$;)?i0nXR)59BPMVzD|FzeEk8aP3un#P$$_QuNrybfjG->u
zTB$ad56{JWyL3P0L{}fz=q(3~p=$ZeU0+*198l;A(vsvxmEATsn#YV_`rESKGcG>d
z?D6<rdI}G|OH4Ce4K)JgB>Ll~1zwCg_11IToDYez<l@CuLwEr9w9Li%&>}sxfI7#I
zdzH4COk6jF2)*G$86JFik#(wIu2B%Z_8g%IXd1$J`<+qd8a`Zq-zq-#hY&vLv&~L;
zO9SDZNsc)l{21iBBg}nL825_LM!oi-L8;dBUGicA*ezT4oL^8Bxvo{xzVpyvq@$_8
za#jGF8cck~Kn$O7#4CHeq=Lb`#uwRTL1fd~plE$j9L4vZh`Js`1veW;G3PBItWjnx
zZvG*GCxeQOS+%H;QfIS&D?=EYwAyU^-K0>`VRspQlmhQZYz^v|L~ymsWoOBEY2<n3
zWjS0*0fz{m?#@;b9P-(u<9I<9e-=&Vyo#ehw*VIh_Zv}c|0Z*M*-jqAhIb`K9iV^^
zPejM(3NifDx9y&ff+FS{0jr@41qAig{7XKIWA);-IhV^y$RzkRsl|~3B#M%N`mzMp
zF|#MVxvq?D%rfE^ohZPvr1$PPT?!3od|UoxtDuldO2^e*6u4frYxvt8X>=ZXyp!*p
zDlQncWZIow>$53f18~dYlY56`pG>Hs@U_p5lFuoi=2LC$cwG)#zqK4|QqjQXezW^g
zGZbjq-<PMar-0-}t{+XFnz-d<_#5txR8WgyHqYr%M4Cn6DgE18xLT{xBVSI1Fw#`C
z_h%)n^xhL0(?r6a#1dsOput1+y-6YE%1BNA5*W^+gF8gu+~nw{!NnKXuD!}tK`XoF
zhdCO$m^jwYD7j$>&6)wTOX;d8u90tEXrzZ;Pwaa3dKp2i*SFnAlGJd})~eS-Qy(1~
zVjS<UH-=N@L*iAJ)RDa-a$nvbecVW0mtpQ;0!p$&l|08ZP~)jBr`J_7ZvV8sZDxll
zH2w*Q{k~ljSJOm)F{a39Cd;(*)HyTIWP3k!SXT=V$vzhF<2Jx2J<b9D6`6y9lYd3Z
zs1~Ytt#;Orl983K=+}#J3mD>j%%`3}!nSC)AG*iMSQF78z)iA(*EMFQ^OD+lrmR}=
za-lxfNWtdvUDi<FskOoHlr~=R-^yN_riaQmu5oln(ZS`@qRg=u+DPo{tMme0^h&yN
z>#ZX|%#mltI`6fyw1H3TK)N<sUzP33eG4F+6k1sEOdHK5SJHKBwXi?RTOyjYw$Bgk
zk9+H{jZ-_1L`A;Sz%LFB_XbWez_w@mr2Q-jnYyL&dmgLdLUj9z(@O?;9LlJC;X%SH
z+f%}gqg7B;Xu*rt!vKr=9N~sLTKMArj;diFB~03!q`y4QfCS^(M*A0<*p%HZm69ii
z6>{{*{vif5CwXnkF4Mpu6C!u8Neb^Sc&$`6F`zAOzM}h)I*Ky33?H)<$L2G$^s$Ew
zST_9O!+S{$F9kZw?GqNkJMRO1e}^z&+j;R5s=HN@Y80E)7%70Hi?VOL^cgT_{>|u(
zfeL<?8d7R_!i`d1N)6Th0OnyT6~k=G=;pw*tL_#%nhQR5+jAWt=x*i>nKz1<8ml=|
zZ^?p$=DkZ4Gl0Qbf9sMMdAwcwvFMKcDv>8*dA8#<9oTDraNOP}i=+7j@5R51#CTnO
z(l2&8m}u$*ZuOJK>*0%DM!)8X&o3{vqLVfBm4Dtwj*&!3j?|L}Yi0@S$+-f_L@OBY
zW0Ll$6Gy$CqRyDG8Ny%RGm_G63DM*}mSwUSl7b|de43|;sc*9P7PTy)=3sJnc!dc1
zIPHI@R6R{}=j>FL4!3~mibe0pU}5ALs&e+A%n&&R(-)RMn1jUwg?c9&Ax!;FuQFtx
zC6>lgPE9JCgKmAArE91FmPP6u+^9cCoVAH3E1WTdx@fJFZrOaeOJPpsMA|%YF?qr;
zy~`BXZpm!hFUE^5R?pibH!Ki&^ER6zz!XebCe?J28>`zB4|bFO5lU}YFTH(a0@6c8
za+cX#_<@uh>T0}9960aF6d-N_*~u9X*S+S%Y-@>`cY&(}BR(Yg@C9QC#|z(8xi~Qa
zjC_ZGFyXfc85~{zj6fjPw*KdN4wRO3|K6&`f)%@YjGr7eg8bC`dIOpqcuUne=Vv%8
z<^?sL{yuF8KJQz<R?oBJE4vRC<9%${Z4w+2cgzqnBBS`uPq5<{MN7bZHwPXx=;eH|
zOat*y>dpQ99B5Fzop#|5C$gRQ_!@qh2D#^)*;Kc1pvC*AOGD}0m|xx$Jtj>9>q5bz
z{8A1q=BIUj*w2gJo)uw6`BV_Dx_Q|bIMD!=g*rF$WAZDxnFvQJ#BjSxjE!-w&BN~7
z9NPu4PKYalWtajDPTOZ}D!A}V<hM4Hw?fEaQDwGzg#y$+<=Ms0xRJhkCzCoRj3s36
z%y*^~h}{QWU#oeL+8osKR7Vug^R+}24;w&y_eWanDlazZ*%SvxilOznH^P?p4d9~c
z0g2H){AfFVve)d-+8hNRkL=rH0Fwcc1+KpYa8uZ^i#?|$v8%P~j-`eHjFAjKJpE4y
zsa;IwB5KkYW+K0idxQ)I^;_S!n+oF<?IT_x!!mesnN3nOnG99!{04HCB6#hN`%~XW
zIm|ppT|K^=4C@$6iotH8DD|Q{P_$J6%c_uRj~N--a-Kv~UJ}FdZkg%SGfMb~)6L#o
zj|?}IzdT`W6~~tv?eDoWmGN1!oXbZ`GO#o}c40G<#5-Lta`?Wg;56fasCpn7rbLBB
z0$xgCW5q!0gsd8Vt7hN%q?`<k-Bjk=+hmZY&m-l3NF5c-ZK_zM4Zw>sBy^Wk4xQ5F
z2ZKIo;K++>Cq)7bAaPaaD)U!))XQ7XD{H2Ox}EBBTulbR-cZn2Lnz|$z(>2zKO&*-
z_wuV_n<>C;@OO~EPYI7unzx;i(!rW4{@?i{6qsoZRLmSvMtc{Ix?7RD7#8<)j4P80
zzdq(07B8!yqivhOP|q4ioGQ<AJWhj9bNixV2{k+x+@m6`M#iq5Iw_q%L--u2-MEXY
zjwiRXmY1s<Aj79o?)n)c@FoQY<*em!&$0hZlG6+@t+#faU7j(#S!e&?&0bAxwIBZ;
zuw;O%UuM(G=S_g|`ERy#fEG%-a#j5@rl8@U(9>Pp&7j@M^y{TPB(!Z<x?#GWf|{)o
zjGndq@Z-I>OQ4lD@(C9u9?+p+tJFOQ$90x)+2g>AKmWAx&a7xIbGHHNo&PwZ^41EH
z7RlwO5_RyrqglpjPXna+_$E0S(qS%r&Ucnc7uS8{{Cs*d87HMy(|FeWsJJz7e50i<
zPWapT$HnTQo^N*8i6MY^kCfC78{M^k$#KOtOa~K|N4`A_Wq?dbNk)!{F5bU?`nS0}
z2{%Y=v3oek07YT9(SlqZZ0@rE<#bmAy)>eUVrv_y{lKv}BdCKukHjmvR#fqz?St(7
zCv9M(_o-)&w%SNGkD6Q9tBlG_;(f$j8~Bw|U8ngU3ICk6cNKpskHTsK)~l&DaM*$J
z+fH8#|2=PWJk%wH#Wi;0$1mFen^=Fo>Wl`qF?D@E94v+zM<~2zdu%{Vzi=TfTOCaz
z{?u+eEQDDNv61B}HV{JU{Bg!X4VBK$N=6NE<DX5$(#@|7C<qdHCpDmgZiG=-;vg#q
zm|H2+&ND!IbM_Un^U5d$r{BibEEBU=6SQ8cFrd?HuFgnJ2}^&yGQ50eme{-JCwto)
z0D)(Bj^E6d$HfC&GciWLiJZ{|qHc|k9#KOA>=b0N>4FmT7Rv$R5r^{5XFYU?dpaCN
zFPFlQ<vfSI)g468miWb2{B)>b3H=-wA%R<ccYmH1{X{(UUQ8*pwg!#acg;`M?rD>F
z<xh{|TY~>=J^RWLD-isxpVfRp1Vi?2+ND`sN|X+ShF{LL1cnP&lh#KeB(Zol{?jcY
z(5>+D;E)A`X!1_Ytoe(4s9wjn%ol`P->qjpIu_7g8mrKo#fzmizdM=9l|=Jh4^^d5
za}X3A&<RoD#*U1D1A~9-h`iQY!Ln!u&%NK&`;Bs7#(|~Fmp6VUR@t|+FhtBiYAV=V
zZjlZ5rRMJ9ZE7R@f=Mq!0!*RdnX^=tBP*JgC&y&AbrG-k^*oDyX961?Zd||kg&7Sl
zy7yxGcY^u1pM$H032gGuT`peZvG_f=L);byh<F9X{PH+sPzf$uPG0l-F(TQ;IAn;h
zEiehVIco$4%k~K-{>wzR{jB!F>L{`Ar!=YD#|Yvdbu^#lSR(WiD_g}MP7v!uk6DVh
z8A2d+lTpCTBC+Li$8Ji|6tTM~v+$ymA<T$w)hy6nB;0+|54dGa6DO+Qdo9(_z$)Oh
zPg~Xk@m%Dj5+!w(c%~iNx7VHq?vve{<vkaOkdh$Rhfn7Tf#HnEoLVaI?KQp?=d?hK
zc?n&hH7^jYjpe>?*Yb9^ZTL`s*aC4+@K@+(;U%K;4mB?CD+MUA4@#0hFA!5=Owp5v
zRtULQd9r?f6xgmb5YVxAk$9deb*3bo38!tJ7mdsrfL-*;^I+wFM8U{l8a6QFLnhrm
zyLbb*3Z0^LB1=SxrVw?^j1@;3@KuDm0c_j9sy}PEOmOz8XImi~h8+Ik>={D_&=z@o
z=h6zHtt>$N_Tj)bg&!47wfexL*?K07lL@moi<chK;=;KE@9$Y6`k?c>fTL}I377rm
z{R4z~P-~jwhVDMSwfx^?m)y;ax3+Tx6DoXo`Ub{zywwGd?fSpS(=6EXnm0UQuK=10
z2zeWlbU}5cKzf5F8#;EWRiye0p{7~3%-~%e2w6Pwr1um%F1O>r<5$8so_{c*LVQhc
z{W(XP=0K@Ex{fVcqDYl3sCb^L4c>{<&RN&EFxYn_<<<)^45RV=8mDT5++g-qHWwb;
z@4dn}w_gH#m&j8cZ6ql1E@ES>aj{yBK)<rJ6dv~<%~FUX0eM$t;kmW`NUFa*SuJGn
z!j^vC;;n1-UX+qJcOkr)G}v~<OAeD1*Ab(-B#7O5S<>>ZFy?bQY?&xhz?(xKYELVY
zAg3|!jqtn(`hM8EZ}F}Y$}Y?lUR$f*;6yrGdqfOd+m2ogno`D|Z|wixyOW^us&)X2
zfCR>f2fT~itBNk$2IAcxkf4M1cD>~XN%Ro2e*Aq<4V~HaQYWRgq0ZIm^}|PNyjrBm
z862g7ijAYT9c9`OCE(J>_e2&01QQnc4Ye>xS2FDD6&+Z<TD~>4Q6BHvYdtx%#tq}5
z*9T<o>cW7#?U7y{B^(qiNiTk@gZV#g&k6s~gP%6korBiOc(r?DuvU^DZYwt>sT?7L
zVcwGuzs{>*{g_?Oj1L)o$6pnw<`{sSWzWCcpH)%HkLAx)f&sP%1ygLwDG*Tmz`96V
z9Ty`;WbXS=@I};<uTqOt*pu9?(Q!!w9rr!(omZe@<nQt+VIM=d<(*^|GN_4ORjV!E
z%BcABieqi(j1e3=(C>EFl7vF3wJgzkG`!wRJ2RGR0=Y~%W9CuXn0xF;mT>Tz{%41}
zM5GzigcmI67U-a|;VWa85E?2`HE-A+v;fN&>!so=bTQZG@oEj3h8pA2!zX;L*7)>Z
zq;ZNK2FaG~xR*o49QB)9Ox@_<Rqi`-&{iMyxt7w4TPV1`h%$5k?i$D4P$<0fR3Ci<
zH=f*BW`IULR>HwY889)tQ1JJYK3+Z*suo(UkDhlJ<B7&LV4BrFyyvk#K7ZeLnk8Qc
z_vrDz4sKiXslt_}Y!iL-IJcDjWt$e>rhHDLY_SFF(9H#3PU|66{!)rmvl>3G=qoyS
z-xhA3W}A{etBXSt+4GK@mC=k&9#sEe3xv1J<#o0?7%{`qqR}dg89}tc+x51vN%<(%
zq>Y4m&Q*rDPl)5~2h!g@J+*~XoTW!OY_u?P<!DrWpde20)dz5f*aFY75q`!E4YaXS
z6<xGp#}?*l6IMA}VBxIP(_8C9YX69hmD~am^e>PpveX77EEl7U`BX95N`ik@?<es<
zcVlCtoejKH*Z6k9Q5j##c~qU_Dxx3Oi<vp~kpXvH6^`9fRm2LRk3*?b1N04~{Xc9s
zF<>CgZGzq=i#&&KnT}qWqG$RkHgGlpsCPQ_85K)mLFhTMcI6!1XT6Sd|26<p4JG?a
zl{hx->u;IyUZndm%R0tBr^A)`r^)QxqNpG3$MNdT68(<6eY4?PYw)}GqU3gr5Qgo$
z<r*!uLT_13wExg)1sf`dWOjt|;hWiIg`wOPdQ-L1$?|2(weu$;HP>@tm%#P%>NQ<P
z#!p{#jqhYdpNAR8u;GcZEe(%tR_Nv}jaA7zEZ~wWY2=j}GY0e+%3Zm+Ophzch@VX~
z2fgr)4?pQk#8~?5(cH2n`lk=|TE%T<(56kLYxd3&*RxE%9&P+bhv4v=UW#VWRM)5{
zC-sLo%h9$oyl;`N5PLcx?w~1Lb?%b1c`-_)R+5hztSr#IMv7k5RGGkd!lRP+MgxSR
znZITOWr02>KYXxI!34G(i($%9=p_2j+LU~a{7b*f9jf;CtTAX`s(uun)kvJudoWQw
zH&5TZP`CQufD!0t=F@+!FCxUu*I`J)JpEez&85IiMzE<~IXv5<ke<Bz0MiB6HNA9v
zR^hcFyzvMm$uGXAx5ny@x7y9q6V)P8X$FQ+7JKU}Z$>M93Hsua_s-L8`;VNBct``K
zrhOV)?{(7e`@0*KKc1)O4Q!C_QK5lTnuGfd?(g)-OY$53DE+0kMG06LtmSjRhYEwC
z!UJ^Wmg$ARHGk>RTPB@6)v2HwNIz3BJxGr$FiLrFZ-MT<bbMv~QwmtcD?i|QJxup3
zH&bHITBJY!`i5mKUjsGxb)?OSF}mBQy2eAD|LFX^-D4W>4B%bOsh<wC3HlaMiT{!v
zmg%&kV<szZ2H++UY4vPzk}lKf+nP1JLhlr^?5%GnL!|EmpH$yJbZ=Q3BVlhQ(0|7~
zU&gbx55;?(<-4ZoAKR8nC4!mZzSgR2y{$g%Aj_(j`OVTzk3LH*y3GRa#_XX&(RwiD
zzM*WAeV#t@A8Q@U04t<2z1yArQ5SBwjh0zg{-rwv*XRYiu!D18lxLxgE->TcG|Ih2
z`q4Kr>+(i9fL>Q=fAp{p5a$xbj;1WpKOTv=-Tagb5|b3=ESj`|_0!`!eN`*;@obqW
zyA&RHqq4Ypzlk>R?lO_Hxxxfo*OFbT%lIJFIlcVULlU@@Pz`r9Gef!?i}XQ3LC}a*
z+b*h1g8!0hck&pr!qv3f-#QzG0G--DO=WArF=a^DQo;sCH=N3hjYJ?U$DfbgPz$sN
zGD>!Ma6qw~P>kzqQ3zLy?hF2;2~#u;fy=5~&|=ly`YS*jGUp{nFNJG@%dZ1Gha`DG
zS-tvoiIpVmKHy#d*FY2Oq<1!bHsu4QN+yXL7Sgc8HRe^pq6TbADz3_k6M(Gu6F=7N
zlLZrHk$oKP8W7<?=UBNc1ofH!s3%b#0*`k{m44KK9Ll92wozdq*1x)Ar=bKNbCu%%
zt<~oeLO#m}L_uHaZ=B8rWpFI;8%bf+grMl5*VDY>AnSfQ@&c18aB?Tq&TIfzK&Zdg
zgy_uqTTP!NU<3cccb_CRcxo8q!C9pV>~d#G@KOrmUw^ZgveSU4FYkGs_0|IC2kW<9
zt&stCokg8h9xWgRChFxHl7Lq!lYHWz92_dFIZFOTg3FDPU&25eZm@f1{dH3Wi(#{5
zwN@Pv84o%}Tk~t)bf(^=Q6)$So4LE^qaLt4`qO_%MGrXlb?9(fs{r@26&a3dGNcKN
zZ;0R|!}a$HHkZ>?A-MIYt9^$7xIR<gcH+JPB-<*8?BiF5zhWFGOsXlMePr_U@E8T&
zbHA5f7o`D*ta=X0CR1U%S&WLiKMgjhR<|GgrwLC!Zz^luLIYik`&Uhbj389vwA15*
zB*;@+W}<h~AU(*+`PP6jn1|%%Gg`Hwl*^I5j%Em_SauNSdrToIaV$$mMHhy@yl&s-
zXbAbLr&Ka#%prHrE_B(b2W*4G$9IYug2nYCse&?AkQw7*ud_iP>Nj6{yY4CtI0E%L
zimmCOo#8O;#!rUnIlG5<i>dIcYPF8*5x{eWhwiuI$!mSc`7U0j0Lfl<W@{<~rY;)$
z<r8EmeVr74OTqwh_|vP~j@p0~ebvV5J{der&k8>HqzgT}8*W}B*+Pti!|fepGUTrl
zWc5}cfkzxC{b8XkyuP~g=C43~Fq=7cg2GUT1CvsIf&zB%lp#+)yi*S@gs=Z`ZLc!u
zItbf8x3Gg9%_)AR+`7P^1|QpND+{(?-^S=$+X0(rdR*UGZBRMRapl=MF?g!4CALGx
z4kqU--EY)s!HK2JEx#ssA*H4>;Xs=$<b0Cho1E5wtN+ct|2n_~+S(DN)DyO_T`@eZ
za_t>smkdqFoWJQikMCR;%xw!JwR(wF%Bs+J&7y$!a5{0>*e1>NiVgV3{OTZ^D?{ev
z$?FbX!-SeafmSWI4HVo^;r{nV0m#E%JU3J3hzHlMJf%l5;EAw8f0}_TNcUeIW$Irh
zdd_L{y<Gy}Ih|O**CGjZACis`*O{@!{i|D4IDmpq;B4ztF&I(1Q2N-D6?eA7;>ZLY
zrivS0S62$do?yDmhtq5rWJam_F>ejMA!RIO8Uo<LN&e<5!;ZE>`yAhLTf^jsFCN!z
zxFLmogI$y>JAT_j4=7W&f`Mz=PFGsk!17hk3ziM+s1!RyzWbjgu=kzIlWS#y?W3>k
z#|79in0yC*pR@pKZv)$*lZ$lQEsSkTrEF+tbS#flWDXT%uG(h)8M<P7^O*KlHhdP?
z>;HV(41BFUZjWV-(G5@9oLoQ5iXOcmLWV8OAiOL|N^*ZcU9Q&mQRF37<f28E+Q*qf
zh2PSViwVv2g79$Bej`>S-BdBL`)&fy3lq7dO*83?1jFtZb1b;0ZCy^Nl?jYp``1#J
zR!1BcP$Dfgvfw$Dtf(XD#=yhDcF*Ks2l1bvyH8pr3-So4Z2Zk(4DVVknZzFU6Wiu`
zpVl?8p!O>no6JxnDDh1EHzzzq_--4YmRw;$*OJZbZa)oy(7#955*jBWc%NH;*uaXr
zEu%Mec^bk*_-9_xu1SJd`r@5|7pz#8w5v||D-G&cI8<B&rwNrK786_7vEeQMAyStc
z4QS8&)qQkki42?doJ(_T=r>w;gVad{57w8?!e;XXr^$s2y&u@|zehK9CVi-oWx=yO
z9u|lIod@HxRUEkF`I%RLiUJXXX>X4@{v*tPIMbNEbK=Nyme+731(Ji(eHM2t6P5Pw
zuZd}J<Np8v0RR6Cmv=bTZy3hODtkNjImS8mJdW-A*rI-sq)5X`sAy2imQ_>;Nhw8=
zN}^J7o@ADhS(K6}$ySu4pMT%$y`J~JuIIfz_kEXb+&-uysS8IEBl*6a_{aRgsW(E&
z;>PoxUb|!}b%2B0PRF;O1>=@VI1M#<@pg6fc$=#Z46of=`g6@1v@=?gD4XZQ8&#~e
zqchro*iEi8XT#_Hhd(Qh3t*|I!E&mNHsrI_3cowUj>&U*=Ni@t;r9aziL%$VAXw<>
z50`lkoT{t1o@y+NH9x|sE__;$()s+R#St#_Zwt_qP87iaj+C=337Wtw*mAC3cpb`q
z(73)~RuseNWC#7Vnoy)|!z<p!jb_(m4zG<AM;6YVUP_lV;NKhL&qu3xG5Gi2@0RK$
zOlKB;UvHrSB~u|A7|4&uy$*7Y{guS`^1Fh)=GCEQqj%^)gdjRlx{h`&NaKjsScz|q
zI^1rY3%FG#gol{lZ<a{N;jEgB$kR*ez}0esN?#O4a`@$&Lpo$MAfAz=v((`%=ahux
z4pHPDDhyo?q@eP1YD;m6I(*pk(DeO#F;rqiS6Vz#Kn_nv*VKD;$lUaSqc1`NcTja^
z?Bta2f(6h11-b_O7qnhd)=(0QESpxuvXv1Rtey0#G+@!_!_q!sY5aWe67!=x4fpX+
z&qaG{LfdHC!aT1m)^bI@?R~6*r!+5G30rBwP?KP>9aSD<X%F5^>`=p#-l2+{wrfKP
z*Nx?*yJWPzZIg6`Qv(~!9A;a$>VSa0_PxVzC@4C2W%u2?n&|g67uP80f{c^;C>O6H
zUTWOevgo9Z{G2NXj|%Dm&D#C%rS(d<I2IFLvQG!k3v4qgSJVe@?ppPNGs>71U!&M8
zt&6EPMox}9=x~9~p&0X;io0&FoFA^##gG3jJxi`O0HxTr+yVg=oOl|>GoYb|pN_{y
zFB=&`#GvR4S8G)izPIha%_sCQg!Q$LN}mz@u!sOQUo~_xJsxV6tA~GFIyoWL1fc30
zuh%|xq+fYDQFc-fx6=FKL^hbgeF&>5cho?~_S#Pe6!lP{<!qy=patYyh+gCWPXq6c
zKm5R(s*BM(x%w`&5RkTMuKP^1CMwOQm3iFP!5i)#^;}f|Tj!6d9<SHLJIaGQDonMJ
zrfQ7uLM_4M!;HkXmeupHO*Y%^X`sU!`SC?jD`;%7I(X}}CY}nFtEBg+qHI;<amR~R
zaO;Wkqf{PEB#GU2vu&W_JAZMt!+)%xq9!+?(Mba}Onn^B7ARs=o4^M)6Ki;0=yT<U
zi#nPWU!|l(lW~LbMTdAdYxv7@U?f&a4ZjZ!%%A!zg#~76p>$_!_>tvUNwle8_%59k
zdtWh(|FJvuzNR%S|0#<oaHHYcmFYjdE`s=dCi3LLIV<pLqD2)nDdVj5w)ijixlq2a
z?mxJ01%ea$?&BIt=#{Y{fsKs?2Zkg}zt~uTRVr_$Z@L1emKAN~Qk`eE4taCey|V=8
z!Gy@cc``1GY&rMY{S))1*3P+tAWOI(Ycf&aB!@A}Mz*J_vzd7t&IDXt1o(9!=i2Tj
zX$;7zXOUBSOT6*a`pbv|P*(jFa%_r(E4v3HGZRM%hmrd_MtlICrM8lJR^qt6c&c?;
zbAr%KDD(NKPe6iyPnvm?2zIAC#2&StA-s5aat?2{fbq&gL$N3!9Q?_5b#L4(@g!HF
z!6@7u^7!4tnC<*X+7x4OhjWhDc(CWelR`7tdt+}|5IYZgcV0*nUY;d*NkSEBy{6C?
zFv(kZkqh%^Uv%S=W{Dky@6kwpQ&@I>lbMmijtT4fAH+4y5JsLmU&j7t0xxAhf6i!U
z#nu#G`=__22_E%Y@!2e6=&w8>@vVM^`IhB+_npK^BIt2tU&JRP5PxBmpB1^p<SHj;
zH`{zC?tCX1w(1+fT_Q5u?8ySN^yS`t5C4o2d1JY)S*H!b^t8MV<G?)g)ic{_xo2O9
zxNI~{8Dl^zqb|oaZH74|l69PUVT5Q&&pzhs$betwx(}sE6U@D-6BXX+!vvRZwe(oI
z0qp-`F-kDMGV5cM-<FpR5zfJJD(|HY;L6+kJQ~ZNnU3>bo%LS_3Bz6@f&Vle_UY)c
z->ey8o=UAEmAo7vdIe(FZ(h*{A8-4&4nyylIvnqnSl7HIdOCgxM<3OP45?(%P=Pnh
zHkX%&nosu<K0(I+h0N$dvm&)_-9#7j(QnWBT;Fa&ta4ug`$0V@@Go<Xu4!j--Z+w{
zmE1{0oKV{?JF5$u4#XRcUTbC!gjuC!eC{BaC;Qi33DX6mug5nodcR<v+?bIvYt%;k
zq}-MX{-*=zd~CYq*)yhI<pqN>&R2v@VAh!fr*&X=v-V>9Y!&m1;*g)Gbqhfoj44i&
z(t-Eg-ZPH7?lSk?*ZO7hrHQyba;@BNm6J#K&M4f=E@aNh)#<u^Z6shkSM+?m7Wi>T
zF6%~|W3mp$<zy0#L~ZCV)*}xzL1%qgR2a`r;^cXO!Qrt6f>p@t^p`OW*cTYfqPi`E
zu>BD}O#RS61l<ZzsZ-Q|4kz~|m0MQ{N-V0`OE(f%+43%a@==H2$dYSeSvQHLpySWf
zFE<h)Ts&RmTWVmVQ+M;C*j*yJ^fK#{Jx#=Gua+-6=2c<C?q{xFXcfdG+QGKhdz%TR
zYelR_tW?3cQ{d$`-74b!ujT7D_gaXILN9mQY!$estE>=j@R%5@4gCDx=oRr|%O3Lm
zDH;^By^OtX`IM-&;fvhN*+$rG9L~&jqQQA;UK827me8noDtDIZAmqhYMh45MpgW{c
z>EDS&rA(EmS<P!gRcyi1SC|U1p1XWAlIn;92R8;*2zL?knAj_DQW>yaQp9R|J<${7
z@8+4=O~lEjy=?fV1S~71Tsj*XiKVMO@6s)M327Gl&B2~ZP(RX8Vd~#ZWJb!qqEp@w
zT2C+D8Go$^!#vRead%!4al@G|?Tmh6_TQwjs-q(4a~Ri$tF#d;)Yi<{q<6#~wrz1j
zO$x9hd`w|wu!B$xG4Y{Eejwyn=iSon72s3FrFLduCvo2+zCiQ%5D~?8e&qBk3M`}-
z|A^=5CQh6=`^AoLm^kc6{k*uD0;kKW8t(P>5ZXSO|9IOz6A~PEtDg^&fwd@Or)Ya0
zA@^s0y4JH%!rP_1W*~?R<qn%o{{4PSv;_|S9vl8jWKF7!2QSG((ksDb$6fD;j+gz9
zC2Yotnzf|)3ySiP|Lf|*Q1%Z*G>i5L+piPE@r_%bD!9tQw;q8o=VL=e;o;40%<gHT
zk$fneH$@i8_O|0!v0-9vTQF~L@+|R#^K0#v1{vVnl0O&t@iWnPE}WImZJv;#PU~^4
zl>u+>{jT->qeNdf-;r$BpF~09l@wDKX?X6lemIbOj9?thj}}Q?Box;?7A0Mif)0+f
zqld!BiP)o`bX!(_6Z-KYpL!N0A&uk5;mfp1qDm{}cKPFFf~g^w!E}>^$WJ3=BcU0B
zLDR@dVg4i5tF0)(Qxar6sWVl4JWIS?D?GW7#tJ?CRj)s&kl_4O!U8>Qo>-n;r}!X<
z4XCqQY@7-tV0cgB%L^BN5)v&QKZqy}u#qvz@ROH-x0eade|?KYUD1xaA+NaLic14+
zeW^GU>cn<5yDt&mH%Bhq+s+Nf9M#qymf~<>DgWj#xxd7<AoFQX9X{ZG`sC2oFJj<!
zHiuh9iUlh2CMQMI1);ciV|l<OF(_pu9MXKv3aopZI~e0aps_Ok$<jv*ZqfdUTRdcg
zYRUYf$$k+~WsZk2EX6=;>S^f7P7W|QNRM0lPYhn~^XBw67K1a3tmJ6gS}^N~OUv6y
z0>6fU`c7vt@cXaxwR0^ulu(>MkN%YcVU-8z57We8nxSA5l+OpdX>IPN!?JMf(-e2X
zq8Kz*UruxL6@>jGJ)OSEWKbA7USFLf4$i4Jp2{c-!_>q-N%hr#9H{ZuRPMM0v{)Z{
ztS>4G3FB6bU~MHRJ=$U{b&CWZ-@{c*4aC6_1b2j6QQ?^9lxmcr6dc=fUF`a45`^7(
z)_Oih1(e!<27hG8K-2^F>`*CbIGts<;pCVayb}FQs;iNML6zHke|(mO<mb8?Z^AU;
zP;Z^&%Na5h-x@qrc7zPMHJc9I7uJF82PBg<hZMju>a~=Jm;$sH=nD%T)rCWA9`F5O
zq71EeQrBN~Dnh2o;WL`=^q_3w>3oHN3W&xm{vN-n497af+6GPN(Di&%_EL~KoHQxB
zbT)$qYh0FVUnCm9knCt+frmEqEvo2+rmBL6&}lKPy9|(Nx4Tp^qYIXu^97No)FHj7
zz0vEkA&fp3ToR6^!x|1jmrJX<RVt<>11*d|$a(g^cP@tDsJ_4T-bQUW9rTSh6=4La
za`h!Co+h9cds&t9qz>@1e<?k)df)m%Yf@*TIcS_1rrp)ig;AChd@>P+kbk7q-p3Q5
zIM-Y6>=Rv}wc85+r7~bMS@x>Mh$Z~i>u_{f&CB+))Rpe_bfBzjaaD4%2ARro?Ep1B
z__f*12<KPlv0fCVMA?8xy`k7%c0CZ)D*e|Qrv+APxVWz#u!Wo^)4(m4b)jbHmaX4C
z6|g=+(nt`ogRD@FbpBtfK4#ID{PCFroT{qVcMi0Jzn2EcKUe)tr+K9z_opP-XW6t1
zh1<cI7Zq*)$!S5pbm>u_Y<_t8+2JhB+75O(dys$Ds>9Z^9L8nti-cX)Et`$+Y~k8z
zYuRU7s<2Eb+h2Y8iCM}rzI1Y<Ev(z^BT*kuh4QMreFw@|k=VESuiQ-=Xj%*k{<gZ`
zEkWOY->2~6`SH%?ws~vFZ>xJgs!9Q4w!t2KUSZTOmYAwGvxY9GS86@FvXHiBMbYu6
zC}PCgzvq*!pgNuFv5N}{<U#~CXf2E5En0Tv^VOVby6Gv|i75iTKqZ@PB4Lvf_3L{h
zONeWUVZX&G0HKY(y-p-aoMmyRh+PACLsu$PvE+gT&l<CRCnT|$QS+uq6ktbz)U`NG
z7MLWg8qa4-qWH;s;+|9jDwpJZB+twf?0s}0fjCKQi<zN*Hnf16YCjPf&LLuZauzq)
zMH09D<Ij`XVGcTT^qm)<)G?E;NBcb!mc#?T<=$H7&0wy3XS0aOS7wP<qP=Gq35S~E
zce<_S$wv`qIQD*<XCCPOQl6VjLiND%xFxD7*loATTX6rwJhk_BXkQQs58WwIeU@MX
zC?~e#Ju54IT48imI+L)1rR?R=Nn=<bMLTR@W5>vB@7CjvBz%40xE6i4G0Y{TRHW2!
z;(*MH4sTBq%9sS1o4z-Ku!yt{R^xTp2%$Ek2_)3m{jvGaZX?J_+P~F0o(GNZLgP>q
z2?I3>)di*uVPE$y{y#VPke;Ma+MpzfzlL8Edhv#!m}?@mSS)}cm$@eIUy{W960vb0
z8^ZlTH`APEL0n0E0*M+@$a2)jMX!MYj8D%x{Hla7fiju?qfZJQ{2EZ~5Ciz-?|qQI
zEQ~qhH&&AKq|x?{3q_E|0Ea8<Ei>ap@Ec>N)7>x`Z1kniZXYoKVMgaU=KxWpm{0TF
z4U|QP!iXI6QUhpL-oKROEQZ4$n-1SODu?wy*=EI#8vrAOp-eFs$HT9pnv1jL@vUb5
z%mx<&5DHsbtk#ym=J{+99e*;Wd$6l{=o`Q}#tTx3DhY4?PVBnJO~JD|>t&zI8$ge1
zC(mznNqqOSzj*2q1tsTbVgeEd@EAfqhZstsiMHC^{$K@kX?_&&R&rJ6FX`x{4bs@e
z`Q{2$MG<H9N~S7R3_#j~CBQdG1`9a0ayyMF;+7G<5K|iiV2$Pr?$4CP%(q+LAHJ=G
z#A~hZe}WAl!|s93js`h=a?0jW<UwV$ex4tB?79Ka?GB0jTam}vw(?(7x>Wo`5*?5k
zTb-|&I96Fe#x2u5o<F9k=w!@pLpNo>1^I{T_gPW!mZJ2wJ;gL^O)ysbkk0^rstxJn
z7Yh2;-8x$3qJo=r1dCYt48hHk-TrK<0t&>`yrE60VCt3r&9K@#Tzg{3T$+j~6!BL6
zNw_L*ypgxzo466A#Fsnqwkl$3L{*IIxGHM7bLdXqH3C=bz4_<-l<<14t;>j|8jA1=
z#rL=v!|xAQ819Qo=ro#GdOku8E2~~KSN}DJwTl&dS)!HkYjJPh*K=yv@Ui2IL%9h!
z1>W$ITvEn|Sg=_jP7SB)H6$ARO`$Y0HbdK=iu=xIByem{!!#X}XmL3+2;e^C^%bc&
z*Y(c0by5|F%IL2@c9{Wv<YSrWS{izF542_MRmBFwu#`)&=Ag{_D!#{<hC6@kdEfp-
z1tUl6PBN($;A1}!Q?!MKJstBMmg6+s_dVTwq}BqykGG^my3^3?;@9A@-&A}{W%Zb}
zBfx7RojG7h!_Z@#>w2b?ap(2oR;?NW?(L3HZWp29(}XbQbh{G1k$xj+#}ANyQ(|PL
zjf&wVdx9TcRm1~B0b2I@01u`*9~XsE(I+KFb|_E*!}lt9JlX&-$z$^&hJ}jX`dKsh
z=@hg)^RO<}1K{tHK+yA(%4qXa&>&_F8NG{^6}Y?rocD)S&W|bKp&0J8f=9A=<?Sz>
z>Ma2L4s(}A?3M7m{H}K?Dbn~r;m@$Y6+pwDq*tf%74fG0n9ade?$x((iL=lE%-{ZP
z==!FBmkt*g@s>!S`;|VSvuprsP3pWK>nR|m<bXY6MGQaW^={r$L4aiTz^8x5Dd@Ri
z+qWi36no0MpSHUYFnVWjqeUGVuM_h;EY>18_V5gU(N_zQzY!GD%tuB||4X{ZbcJ#J
zOq6@;Q46rvbcxvdOb#tIgbE)!3!&DUb8UPp=1{QVT)y*uS?s>I+_LqGASUR%l35dH
z4&~i;H9=Z3__12{zk?EjSjWC;t00>>JR+Y^U}KX;&)}lL>QDi^U_rTZFwP7(q&sWJ
zCnQm)@t#oY3O{OzynL$0Y6k1u?u?z7Bw<*yKjnD`KXS~eyjF@ag(ltf(d!%}be1G(
z=6&GDW=dwR9E&M%2?d+X8%SW|X+}=BvH+ewq1^s7)&%yHhOyj<5=Xwlnc&E)0=QUK
z@0!eE0^Hv|74?2x<yBDge@e=N$k?jN_V=_gEc=PygY9An=3ONXX9Y2J^e#(+m@&ky
zJFR<pTof%o$`}{$3n5oXLHfx;BQW+!_!yHZiZu&80w=BtVNaokuZ6x5yiF6z40RR7
z_MUZ?K{mo@ev*+X(`*PURdMc<s-jr&DwgBLZ(;0AI?fZY#}N7gB$h+OMKS*1+9iGz
zL3jK6FGK$^U_AY%Wh6-yM+%Fc^X7;m@0R_|X9^h*k#^v5p0+6dIq#!a7$t@#3SOlG
zP7Fvkz2mdPQxv7=Ib?dm#4(Xg+-d7?1E{!SX1M2)D4s7{bE76&0>7pRO1-#a0M(R#
z(OafP(J`%u5_^$^3D+jwF~9)0L_b+iZWY6ETNMxcdPxi^TC4S3%>ZQP&8|&!is8MT
zyQfrHq>&;ye#z<w9mJ=7b)<KT;~}Z)*XkQ(@Q{<OPHO`lFj?2nmQ?~peny{ByDf{O
zx{o4f3h0niU@*?8l0Ykm4U7&+dAzankio`yI-I>JGf{bhgq!ad&01_AqnUibtJDxW
z2>tYQ4BsM&3aQF%6cGvvDjtdP44{MGh1lz4LJD~*D)xRFqM(iDmz&3f=s;?iG&C@k
zM)yS{*Rz!h7&XDOcq4)if9>xV3p&W)5Kn6L+!;lT?fP}|N;VyY?>A=;_{!qq<>LIv
z043zgUdK>EI<QYuk3^i4L-MK4n^v~USY`O%$+1N`?2KVKmD(bYYzy1BPmrk?GwRQI
z+QI-*igR`=Cy_CJy=CgdUsUXzRtihYG5}7lJXS|73N~kc%MNOx;fkKsirta{7?+1>
ze|bwm^5WS-|FbICB;_dIcaQ<^yy%?=PAOp3)sT#QJ5^K;926A#$$*|yZ!SydDI)*9
z9bR`<Ip6+JFa2nWAq;K_KHBwO5m`>Ii2n;y!{sl^Vv-t0&~KXX(Is99`*wF-{rp7@
zbziisx%AEmYJqp3fTA+qpSLEp7^q`2WBYok>{b3t%13RjR>s3xPE&_>spFT6=kDrk
zHvyll8p;-HD!M0LmWSQyxaf8*<|oAzHoZHZs$NS)8^54HztuVNHkE$sCQU)TwNy`l
zM#H58{ewn>YM4{^&c5uS8GPHn-plI*4HJ{Euk&+PLq|R(zrhG|5RvhVu6<0y$%Hp3
zRHTZV{Ye`W3@m{9wj#=UkcQsVLZqL~D)`7)%>3%G1@t!%-mzb4sI4NZxW0*ohG!-v
zBBBULG+oPD(nrHh&Go%Eil`V2Mf&4w0J4$~96w)5!=LTZ6V-vr*ciFnmD?1cIybkq
z*@uSZ+>thaWtC9;k4bmA|7u?S{ih|7jfMt{hu<ul6mU7_)>@BK0CxY#!9}O3xMAbA
z=gtQx7<hJe@_RNw2&=%8)D>kk|1;B`C`CrxuXOF+B>>%pO+0+Nl<}(7XJ?KgSxoW`
z>$S-Om>Uumb}d)J6rpglc0*}Y?D(^EE*79S&D65ury|O>Is6P-AmPE=O0+UxfPu1u
z?CGm}kG~b}c<QS-KDqPzNt*@0-j59*j92}s#lExeuz(n*?D0KpBDC6rygn^{ETCYC
z*#4CxAtJaZcu_s@2?0c?G~50@GK#EEouB1i<<e2l))9LGG(S4`#R`(qdH<PXJ%fVS
z8*)pTvid-~rm#ToRXOC(I#yfTCV=gV9=(biEWo?PO3Xk<7PEx~!?^7DF<sg1Wo4r|
zh`%<K^ypgUykuglrz{^%x_^GN)508L3ij;iOp(ICHLPp`8+g%Q%QEXwr5W^RK00=K
zn<NHJ=_Gl)<Uuaa?>;<gX2AblQGJ3S;n<OW|NG~7@P@wzQ|ziK+?D>j_B}|ToAbKx
zzd1a3>(h%LZW5*-ljt));3<ygD9GN@&x5CSBz!t>&IE#$xV?nWuX4WloXs|8Ui47z
zvL53xfs$qED*qu-ToWtyvTA`BMV{Ioqo*3fJALn%r1hd0t$y!YWiuagJ5;As@fgG6
zPSTsduSBqqSb8u~$B$lW0h!Ow8Nu+(V~X)!5qvt&cKyz<0Ok&Sh$)sdf~g&X+<8(W
z*g#G0|D7R-*ABk7xKnHhzH4M}ofs9y%~?I9+qOc;o_g%CjFBO5jg4@cHVLC^sRilJ
z+SR>$RPQlqXTXCa6>H6z!f3I<N9N&sVJyD$Ld#_z15E7<C+Av)QRl+9R|BhlaYyc~
zVc9wcoR}UyIyfzi-X0zm=c+_eoa3?jm3s!z6e}~3P7^_v5TjhVr(%dktgbPh2B521
zmVf)O2+CznTo~#U$I@nlfJ#0Ccz23x>v*>avNvTtGGCHFZhFY~qDDG6d~c5yb`V7c
znInJl>5};1?2jF<66w$~`p0gmLlisqL<en;mBOzxu^u=7ql205PM`Q7F?=VL!CN&X
zjo!DjGF#;6uw&c4iEJrx)Q|t*`Es)?rr=my$D%&ir})c~2gT87##Q{}8#%lo64m27
zpbtmPcP?-|kifw4_er{jWGv|ObhmEOhvT~_Hx%<p=y%%q_YNKk9@SaxJ4}6G>&U%G
z<VvEhvs}pauN2hx8fWErp${!~EB356rI4@dS{mh*0;(KV7SHY0hXg*2;L#>&OcZ-`
z?rP;~4irynX`9st&kt@3I!iKW_auKMxljrB57zr7uj;?zI#V)iCWpH>ZHw*AP{x~X
z#yy1|bl5YtRCYaG9wUGL803tn;%@cti(iWAQ0DLY;$0XSADp^jAQeKx+#$1ER(1n$
zz0b<EpiaTMI0>2fttzN<*{}Zaq1E2BkfdrmO2I2t?Yq_WRPp@7*jKT01`y^b@mlGc
z0+t)s+=^IHMU@+I+T?`Q9$}Wlcil@7`%6s410JsOKXIq$N2(#v>W6)!NJ?lQr}-;q
zi#lHJRq}k(ZwLXfaFo`egq!d5swQ=-<IG_Pw+okyKr=Mbr721oFAYqm)N5+sZ0+N}
zyn)7`M+~?)DN*sylQp*tcWPimj!Nb^D-+0w?-dQNp`yeICNp%m2Fll0@pi5Hg3v{K
zT(+iRc#=yio2~}>)joYa&1MEY>2dOx9??*f^<i>Xn>seU`V^l&Vg{y<6$3$31q)ox
z*z97cqfcJ9J`2+vBy!B3X}hbS^!;DF%Ry>b?#K}wo^An`6Fe?cqg0S@{JrmRs4CLa
zhCf>UM*!VEYFBiU3VMc!Z>DZk!MR-dE4)htTre9j*?33=+p0Gu#<SC~=7Qix9(#bw
zl{=CLEmW}NJI7Y8tID|cO&0H?c!12a$(%V8G~5Vl<qA}k@V(ZI?%E0ff5Ag^+b9}t
zSI;ZVzNvuHRX4(-IssM+RA(Okq#`8yvWrqFnBce4Dme_`=0Cyz%8iQrN$d8RZ<ohn
z-Z>NJ5rF>z009606qk2A)!!e-t*oqj?aj3}_u4M^eT^s-CA283z9B1;wlru^p=d}%
z5~-}DK5wOrl+}=x>_pkh{Q3QR9_Mi$XT0C%`FsT{`$lzVs^F*Xx^vNIWU$xqn(<;A
zfN-<Md{&n-=5#uydvr-+Y2<BzbyWb-EdR~S^C@FS%dFGU{o+`~GNyCk4!{|?lByb-
z5-Q4k=e<W0#W%(qzS@NY6y^q9ZQ4pfh9K9qD!MSf895(3X9*zX`Z4Tolp<=jo@&~4
zj)b(c#o1!)0Cx8r9KzBR&|RhP;xJhV%i3lSbDU*>fU~-md8|C{lo4O+SHX{F8yqi<
zFIfSrMP#d1k1Xzx8ZRn(yA}oC$W2m0tw6PD-<cX08Eg$ujoQWFMOFXxZ%%Yu!sXH0
zu#I1((D>%|Ze2MZG@%!2-Q8dbg`y4Fj3`O;j*Jz!<;jhr->ax?C3N_^aI5M+JqetB
zeMrG(fD1DY&&FFR(g7CFwym&>;|Je=hKv_nsLb(@UUJC-bPiP%J)Rat4YmVazAaqH
z;j0xkxnK@wCKXJ}Sw+!Gz{|u(i5u-NJb8RR$Q&dqo+z$pir~WHE&a}1ZtP3k>h=4(
z8PqSRaH)g}V~<F>{Qm7cxJB-|bDX;w7}@=~cfE;>-TmI~sm8qc)@hr|%_dWLzT0Xf
z(~*pp{Z19lrfX3-;^Ob<jix|f6EbtShlCy@j~jfw_%Kbu-g!rp3H-Y72AwXG@P3f!
zvd4XXoOiMcI_ho$>nh&<uy-Tj@`K3x|M3Z8G}-@~$PZ(XjJofcX+T2VvWho{)(hbU
zo?HKRg&M=GzxKo1DkSt)?<ag^NSLv9oHd!l7`n-oA<23q<ebajptwT9Z6Ds1&)qhH
znD)@~QyWQWVQun;dy<T2IhIIGbR&4K|CPi%O~UF?w$C?agpu`bZgJobLy(GbbC78u
zq3vgm-$A^hNK>CaNV#YT^U2G5Ej7qk8{QX3GZ4d9?~m8ITN=XgniF>prjwDSTW>UL
zwLYUSo0}Y(p+QHzl-L7#VVvE?;TKURfm*NP-mMhVAazJxvbkIs1vdO4t(TBO1FLcO
zBS&eFbFtF)ufGUd#VnsFx+IPBjnPAKPBhqkq^Mk9O%w;W|7P$?$fBxzdtR*y4MOid
z*1EbViknprxWtsnA<wBp?>TsAkVVpbV=yR&uHUp~ei|v@qhJ0FJabg2jtWeW>=(zJ
z(q3bxlp^liTSToGr$T78q>t6C1iH1RXPIzQaC~WH`~T;cC#2aNl##-yNQ<D!WeU1i
zj7k3Er9s`o@QdB<(zs~;!^>nz39kvpw5I6L;Edh1D}h-um|&kJxsz1|`vlDHjeFDJ
z_36Q^0ya6UmKvNh<Wa?@swf5VEE*`YTA6i+%VSh(9CDD=P`l?#0QX-S2)!yxmOre3
za_+V92PD*Suwt|~$J-G24o*4QG8A!9Ij}lVLIcUWneTJj4Z%svy<k5t1%JM_>2l!L
z#6`J9+Ts6<;AX&!g4#9;+TBptoIjz7Y6HJi4Ec;<{g}I;@dG7X&feyhO=w}fmesB3
z*T#_eb4#Uqlrk<jZCq>#)y9@$s|k+_CO|ZOxmm(c!I}$OqHio~V|AkIqPf2*sO4WU
zy3VSKJbU+hdHd+#N&4sZ56))bfBLYmMY$^8jQ_!$NzuUs(yP%ara1(sUtVnUR>Nny
zWxpq{>7eJ>@7Fb!7BI|yyy4Qc8XCl02-o)1!KqK~z7Oei@I({$xNvnGn7Y#^*Q1RJ
zk!mzQGfUVS6#7a2i#q<y?ey5BrHv_TZI(QAt)Pum*Qh0<f!7naoWEqDg;zOK`QM2$
zp#MWq_F8KVT#;?<<rmdNhcQa3)CdDG>Sf-5od%AlmZxuirH)c^{k#fW0H!mwuDn&%
zz`0R&_a6*3R3mkV&E5l$W-7}(?N`T-XIXvfvsCcH<{v>5y#R+`?crx9)$zGzMhO3m
z66Sj@*7A{=Ah5^HrfyLU%RhaU8ndFH^P^;^Aw4E!g<ocC-l2vf$HpscFDl>`0ZXr!
zbSAW>1y*@ysv@sR-GPA*vM4>M^vuJI33oG!?p<wG!K+bkvg!+^u#eM{Z9<g^#?MZ0
zbc`#byHT23R;@U4EIqm^#<jY>M8d0jc4f4TU-Z^i5yfwxEmO~R0Ic)#5AGLGLfviY
zis$Re*r^s=DwYEfIdte{xEKWkb}r)O7ecr><I1|EeE{A5)kpWqDPmCGk?O>8el!HJ
zgE`6oX^o<i8#EQL;v(tk)FLmwyk&T;ri=mY)=oztMh=IM@MXp%bK{AjNJV>j25>G$
zsSiArK}#n?B~k$=w!hhKB^PT23cM`|SJ|YoK6<^To5dRB2)*~#veyz~<@nt821%l?
z`x>jAG!CrxmRz!6TEb|brSttsapc~8;O@?Nc8n3VZ}YlK2c1%h%=%O@v<iRxNP^0a
zeMc!ba#`rmY1#B&!8TE($_x1zDzRf_^xq5JJ{AzA7gKcILIf|f6Se_c*zp$!P3caJ
zIkeo<IODU*%aljACX*`I(ZW-*ZKs|&h$oubB<>*N!wjDt^{yP)Q{3_@GTjWE(nCYM
zZjew>Ami;;;Wfys()(18#|#dn@eK4$2w_WvYG3mF8ax_Aws>>I6!viTTS)8`!n|nb
z%~R}L*xF(4<UMHu4jI?RKaL6FPyY&uMs03fNYa$j2{wVt7i4zCfFR!TI62`R!Gpi)
zX{uXBjp5|uo7ZKk1<+<>Q}LZIyvRkVs+bEg29DD3qN*qX{OI#OTgRObXZ?hytp6H;
z!}U9vS?&V(-v7L`^&~%LHzXY2eZ~lM|6ZG-`Us$LSjdyad_iPwpzE9xH-g|#mN#W?
z2w>eN;y`+p5MJKA)vvSA5ICBxW1Z&&(C&eWpW90kino3||HRP{+E<?QOdl7-FoWs&
zPjzH$bsrC2|C<KkPAB>p;zIaoPvkwZVPX9GwYq68l?H<a(XEZKLfF;l@1ZIwieXwx
zgEH%AK)KECAkRiZG3%~)DK9ZRB4)azx=4lPQ@3mwDI`2*V5iDcE{@;r&ln~@r@~xx
zq0%-w8Mm7rcU@GI#E$Y*^XcPMxVpXn>ccrQ;s+nEfz^H)G9BR`aiW5huHBiFHNr@o
z{&x71vkc}inGbZ7sUY0I5I1-vf}%6yai=-t(5y8e`qCOI9N85jFOnmQ=k#NfIX}r`
z&hg1pe<lpzTVR`cOo<q(p1SWi+ogaVu0f-&BL?t{k}G<zT^vX66T4n_DPjrQSJeM8
zfVe-Gi}FP!QTM!JLB%iyue^Ndbe5e82YLGg;sc~`F?Zj~`c;l>*LY}CtxAPgQHp1O
zH%Oz)LlLt*(kdvYWM<T|oeB+^%-t3avS_>OiQhJcDlW8y++)wA!sHz7SHM>}>=`LH
z?+;Kz?|p^ma^|UUo02XUL03Q<UY>X1m({T-*>GrT-|9UpOxdj$Rm7#;_A6OWG?1yu
zR=Y4tgQBz&pPFe!oO`j((Cob?Vh73l;yFX0csSC;zftg^^Gub<XDt*icpfWaW(4}A
ziQzwl5*BQ3iL<ZO#<1l^^;lM8Xs~TMe>q1PBNsMh8Qj)E)v25day`Z%uI*_3EM5h7
zr{9^XaMZ<nv4t7?TTS5aZ<)ON{;Igy_urrU?{#tFz~F<GHdBy0bmtY*SPic^#6MdS
z(ZjLDmAdFLGx){!GC*)n4UeWUU*A;FL-CL?zCb<;Q2Fx7$UjRR$MQGbeL1X)fA{=x
z4AZB>Te+UVRAUXi7*-*D`#)WL$hqCvWs4<b^iYm!KGHy|Cbp7)nK~$}-)d=izzXsz
zx3o#IXd-KxfbxlJ+E{!lHj^uc0nbEvC}cfNtPCFfHe;=Ya$R}0V<xM<eVCKTG1f$Z
zVahhWat(Yo#W<gr4e*zBe{jMoZ@T2f$$3j^c;>~5%0(6?Jew32&wH<dgO<wqzvNZ1
zp(<-<%6cZ~|Je6|x?Ka4<(FH_w3YGu>9=-?$C>b_T-Yh`jXL(|tv8jTQn0qwWVb{H
z6Y_ft^yq8Vk?Sb4?6jo<hEi4f)AN}i#g~wqW~7Ejk&Pc%OJz|0TC*kXJ`+B^KjfNk
zuZryFKE7YCA&I@BD%%n+F(FAh`BUpU6>PWtWAEE9ivK)wZsY|p!J0QN_ll`923}oj
zx-daTm&rEAk5ndDxLEsJQ<U(`hf|)io<bOM|3(CJ8X$Oc_VMvmf7*R(looElho$r%
zJSGJIrDdsZIui;w6TLUI(2pCNWDM7rdIQw{EN~frDUWPMkKVmwuE7?ou89PGfaFFG
zA)kC%?4#cq7^q}J;e#*dj)pSe-`yBK?ILMR*w3<VqJ{;#q~>JxUR!}gTA#s{CP^%J
zIzJhjyG)pSoa(Y5TR}!Xt>cNH1p2X)JL@wSiTC$yT&#U8K{mYG{9%X~dd6k)dhJ;t
z)@*7pIQ5JUddwi!k_i#qW?$a<pnjg9OGlm?;-rJQw#|V}slqt6@Gs$0^*r%ye8VB-
zT^7)sJX5rD7a4_9DrubN3xvqu<mi%8b8vX+qGrF2gmKB|enpEf67$hHM<#{Mfy2K)
zQO-pOXD*mM4Ru~3LThB_#3RkXrK~*Ie@XzSUXOVQH!c%Djk6avwwpq9(&-Vm)BKp0
zGG8sRo&||o=7ncArttVzkcO@^A7(flYCmnyihoR}k8XQn0{p6t8QdG!;z;8K#bs|c
ztSgW<c2P2ceB*t`cu(`<20g=5kCWK(Htol;`)S6o!h2Ha*iRm$deF(KZ5-(PMl)xx
zh%p?dxrKHf=Rrm+H)X#GC$iYf(Q~gEfuHkdN+0lGf^Z$*nF21neDe3c=v7|a*fs5c
zRfh))t0ETbEqHLqK0s+Y!w}*Rdp$F;;lW2g<pZww@gn_KzN49rArQx|vxc7JL0R9d
zfB89lD5)y+HkhD6_i1Z=jeZ_f6y>|Acuruo9yi=3+-dN=b#N{-m=~{KyBSenBZR;F
z1)T$?sG!&&dUv19TAX@c*0!*kpKgR%NN1-|K`Svo&vSe&9-b=P-ycoJFpCp;HI`K1
z<QY42{U;wfX#}?XC=$lA4+9_Tj2ggBb{DTCZUG#S2_(fVi=fNdz(MOw133EpNXKty
zLA;am;EJ)Y82%a$Q$4%O0M;u?`#9|qLM4aE?DQUSyqz2PI6=_>UehF`Th&OIv)Qai
zJX#WCHu|T|kLkk$J0FrZ7a3`(Wd$pm(rDP|ye{pHK5Sg_ci~(l<EEbT-eL1H_}TaF
zyj_+)Byya!li(7;rK$cUn;|)TzR{O|`I0^i*cJ7QX^0}jz&3U!S^+sM`F?cA=|gc#
z)!T<YVz@|R&(^%8h`rxDB-P^eA*fvVvrn-&HY>{H_dcc|m)H3h#<%oA^tqc(wwxsT
zY%vXW?NLGjgWkeRgg)f^cNC{)N+GB6(`1UQ3Vun;n5>!B2hI4?8UmIw*neFrafhEO
zmRlTuo@!|TzjJ5*3mKQiK=WcBi)U(RthwcI$xQ?JBWulbwL%_4|E#|x$*F-iqu&pH
z6QV+C>6}wzg97F?zs_0bsfnJI@4no=Lj}hyVYkS)iul4yXX|8^7BWxitNX0_0NRf8
z?0-waZDi3i(!JV<RR<ZGJccm0G;Oe{UI|@~a4THl)y1gh?5&|ghOp^WLAz$NGOj6%
zh~Zu3g?gjb!c>nDJo=Koyz7e!hS;PmcunhJnbP@^Gt<UUqiQOb^;s3e57KMGT=Y@n
zis8{u@}`h<AmzJw{i>h)6?~39r;ppW-u-CfZ3g7S6F1!o)$znZt3bzeeN?J``KqPB
z9KL=w<V`-RfeHzpYER?zkyEvLS!N9##x6xR{?gS%P3K(pTpN8nW)dKNe3vEce@xCw
zCNy!aqD$O~d_7d1c-_9E&<YBE7mHbGXrW2>K}D`Zx_Bs8yyg0D2K*JU*|B%87N#5z
z^)&gTje*XG^^y_*b~vUe7e{H~G|B6EmaG=;l*c1=d`y@f@_R+ws)grLJzqZ()Ib?Q
zaz=0r6E57|x01xBg#!PUV(zY<`;$qaTW1p!cHGu7P(G=N-3PAii9e-`VnsbyF9=ve
z7JKJFUy}yj*BVUvq(Z^Sj&sK1G;6rN(6+(&pE}CyWIwW$D~~HL9D1n?Yp@BnYkIJ(
zhSnnve8a}lD8o}B6KiM<?WezzuMe%}UM@ZTIFdMC_Ek>w619f9b;s7fuTa6R)A9vd
zHwdHt-y4dl{Y;Si60oFrLK)ru<!8FK3!-rKE*H&Je)05P{b_2Ug!LY`c_mkPko5c^
zr^I$9I3Flc*PT&B5xskVgW1<0i@=xN+MG-n-FtI6?5P5Zz9av#`_6*wu3H<1@&P0!
zjw`wUkwbXHA~VdrK%m5-+yl-4yYYmD`xP0S4dVAKtePRJYM%=8eq(^TbD~kNixd{;
zZP*cx6U49;cZ|wvu2f6@JFuTBfeuT(KTONU2q~IhpQo!8oH#B%^UqWaY5HzY?LYq{
zdbw_GWh7cc&jq~d9Uy|7C(r!SO&lT){3_^OZluG3*Wnv{UyzX^f3$*fcaS(EcAsO9
z2pu+wWX4XLkg#ydIClU0L88o1!e@A=1xQZnB@~qkqR7OfwMCsn1kc8Bo4!1A@NbC7
zzwf}0-^yMUe9rwzJdDdvj#)5+*_X~)Hz;fIJ1hUnG44@9=<MRdm#$`TtogZC&+303
z=Iw|6KYkNcTjfmhADIH{x&Wce8C<Ahcky2<{{-PEo$}p;&lJqJx9g{ybE17^V(4<q
zBq6b6y1Y5m1m3!`_HqcUK?f>Z=F0PFLcV-u{AZgn<Tm!doDk)}{*pE`;?*pXGw^ZO
zh@CO8+mq*BY-C4ww)VF1?!QFzR92ZynGv*ZPO?~2!iG__VD3iA1w!gfxAm~L5wLMo
z%cC6|ZeQ<T^F3sV*k>VL`ys~=>bgtDjh9*R5xbrJ>)sWDrYa)&TiFnvhV?uV>||Z-
zUm_#coE3#erDN@LX%Kv0_K$NHD|XJ-#ImKZVSshNd6y0i9*ky>Z)Rab&gm7#FdGMw
z-#HAFl~ZARrNFyR8#Wv<c(xpWb`6f#pHLpOr$R`G!&#18HWbO)bvTZ~g-4G&Zavmv
z0H5}G@Y6Ne(RJLnsrVZ=PW{+@AU(nW)^J`4cC2T|yZ`=vpgrbA&(a5izCs4DsBdbz
zF@Xag<Zlz%yvo7pk?wb#PxYa%_DfOGe{1mf^{ctbuLV%a(liM@^?_aS!Ef#VI8lt8
zakK5T5H24XNo(WKhZXja?=|tO?=?AGSzSp&JAVEwr(ivhDUBBR*uae)yTbO71%y%Q
z(&f`CUAiE?DVwE<#*3-qaravfi{O_xYc3gY*M;mk$KKnx7K4qNA}MTQ$m-K%m^YvU
zr=BV3SV!_>k<jF{c%C>G7F!<cJgEa_&IQf$TLiIdwnz&@B{6fiY;cf{4#;?XR=@FB
z2<c9@@_2Sg<N8}nviX=cJe|13Thc(n)5)~P$N$NqhK}*qh}YT>CRu+ugH3pqn>!Qa
z?#Sbt`nr#|A8UhA_ioP2%_4YlNsXMlsDS<N#(mSuv_a@gTh7!=QGDF7`%Aqg1vj-O
zrRH~O1Ap@2l_z%M_~D0yli5`zEDfl=dQwFPK5woiy&jRkcW<?+lz+;2mh8T)c})k@
z->lp4qCg7Umh79CLRB$L_;aI-mM-uW9=`wXvJ6W4o$~iu%^90A2Y!i7>cWV@qnPMR
za!8&P534+{ft&;G+I(Yr@Sp9K9#=O7OiJZ32L&yRikM$KoTLxhFK%WChbUra@}2`1
z%e1jgThGjPy#eU@cdu+up`dF#p_;T#7wzfJ7PAy8RI?9te5_W&qbI*A{P#u=?*z|2
zkd~*x-_Ev5`*~#)*52Q%e?=d6o^a8Ourh@7uBwD`164HJo9M--Wq^ea=2vc=G=k{+
z!L9PEIq<UT2G{Xi12my?v{&^R17*a%@$40KbdvrfOJ$+rY`j5$t)D3<b(T~L7igg0
zrLK+*+En}?qx$2>q8Vr&VG@Q<G_hU!n{>De6*s!G1zyj#0F&p*)q^QoSpMosy6d0;
zK9boJ{B*M=gmFKvk=UY*Goinaz6vxz^A~8NwO|FAYAtlNAKF+A2`6@z=wt8jiT8IM
z08mOpD!@z!O*XvvD0Wc~UpUC#n`dW&V5Gp@Lw6mlyhwS>?x2JB^1W`I%VWZ^(2J>W
zjdU<dt#pxVbziNCR$LORd>QyQWb*m5Hdemyx*puEhNThXIh`5SaG>{7XOO8j+WIzn
zZWvKUE3@2&;t^}GIF#FUVviPvhp^nX_@jv5`yb9bh}eLR^9q-w$11N!h(RwtIW+IQ
zefy8B4WvYk{~A=#!0jr|#R~Bf_>YAm@5gHcSxupB1vP5;_}yL+sVHGQ`64E2cb7H%
zVi;;abyGzrWAn{6pZM|P7X3)=o7P}vlFzTb>L;47^X#Mh)?jUw|0Y8RYpBl(cWbs&
z!bom2Zh7W1(eRLX{dAZK&0o%p9<5MB$yYT}lbln;R*P-@2TwAAvg`4K86yQ0F8mNL
zH_%69hYt^yk(p3;Ebe;t5m{7~(~GM+@s0>PXrU*24?v8n((&t&6n>1XJl@h<%~+a{
zCOy^%uq{=Ju;i4$SDq%Dq?zrEYvFQ-drmN*BeI^0?V>1hQpfz9l6o1RXGJ&s$g~3G
z=cF$!AdIr_A8b7LcYq;Rt<zCcYYAe1G;h68A>p|7`-HMrLkzpG-66p<bXa;8#OoO;
zfSag-=B*aP47Cj7XV&U;u+!(5YFp&R$Hn3Q)>aNNoISS{9N1$4S+6fQd31AOr%Ykd
z#uI}KiMQTbLwC(#ax(Y5l;|3)K4Q>gQqj+#E7a?p9yEjO8oSDhn{3GTXL6J6^<Kt}
z($luwR5K8FwDt)OVnL}NJ+9)WJ&e<pq%XA7rT|%fH%_rF5hM2`&cp<FFq$PJtgF76
zfO$zbTzl}32s-<uq{R6PV{JR%vtT0=pbO;EE)uiE9VKSjDV=6U+`%n2^C`wa%+|1l
z(5H#t3j)Tcn6->6Q8&4D7K|Y9G<U|3$RrUlpk6WERLR(dW?s#HMzGcJ=g&QiapH@g
z*S!bPS&U;>J&3XvL%4m}DMCA7j5x@;{b}j$Od_`F!=4gbLwLv{uPW0tLd-mhu}+Jw
zAmo~3i?b?dFe+fkxvp@SAYYK`^Z5LhXd3qV>TO7aVaG7<$*Do2@|(y&qV7jR%SB46
z{s|S@^VB-WQU-{q+B`N@tyZEqTqgc4l?uIcLTv{V`iXIR0e712S0bNOc)_G>)#nYI
z&&kyF5wnb7%O=eZ;#<UqWG;pQWEk#ZzSz)5T$AZZ%GCHy_&P@R%GK+GZ`j&N7oI+1
z;OX$sr|Cb4DUSxXeXE?3xH23zzS2wVJ4tR1d(=m$+|Ivtw^a`wnSI#uP_vJa&(mOL
zH4YFuR(3M+i@HGHDRSZP**;=T<8c8Y-eH16iBYg`^&j@Sbx?;&>L>0dDgG?qGeWEx
zy>(Gxw+=*$$i{@%^%Hy3zGioKjuHVj(#y%|+EDlEB|WupfM5ZkK3>6VD+uS0{X@__
zgpU-oYk`uZQ_3S8Bv=CjTtu}eh~$Vq)~yO!@RakOQYgzXaWzEA!TQ-G;r&45L`<M2
z0QF`fGvp_+b-`v!`1WbSDmZBisZs-iZ|w0=7W_pt37$OPtTIdJ_l7Kz$QqDw)>-LQ
z?<gVh_KjS(<X>WM?uOo&V0Ex9%*^u``%N?-+4wiYVxFj5d)UMEqZ+WB?N}e0Hcmu;
zub5~{TqJ%K#DBbJs0RO@=KVL{F+rH}u?^M9tPmHMZQRb@RfW5yH{>Q^ipYP|q-{IR
zf;_35JLJf!5dF=B-Ru1{!OXkjIDM22^Y$AIr^l;6MXxt+-tk$2uQN_eUz-C*D7hwd
zE)`hVvw8V}*I(kGyQ3~ICnp-lx{htVpbTr1s4wq_%o7c7zw%EDaHINFmWj<`%5c4W
zi@=`JMPlyhw&T@~yqIx(RJ7uO5-e0Wb;_Bp5cU@{xnEZCp@HqOVw%nBc<fBI`w|P*
z4X_ZGq6E>?^PEr8AO!~Pmllm<*^r}_$4bkTgaa8z7n-h7Kmh`F>gaNy>k}pYmUc20
z-Po_I??eHoPuB^~HJo_zmcVRrjtB-FY_8KGQQ+^(E6Y8++*q3Nuli7i7_Q%vxNx&y
z5q5j5wbZobMYkV!K6Tbgpy1E2r-ikO&>#Cu=XMDn&i`lVS)?kBc2_rA@S`GFYjCrg
z`3Yi*uG-4O%2f|3t`Hdfpa`9&LJ!k4Nmy04eObv~0gq|uo#mKSgiN6)i{tOe*x_Ou
zVb`dL6VD|ZhUgTyxXWy^AzlPqdTry{4k;lg-TlqCTndcD&-@`G#W3FOLb@MQ1^Ek_
z-?CdO!SjnVaY~mY@P7aR0RR6Kmv<o4{~yO~NA})(+#SvxXOGXz8D(W=lob+{uOdQ5
zBr6h?tOhAUDp6V8M^Q>v*%V3=+1cyo_wVb^*ZcK;J|0hh>-YZIN{VRp5$TC&dO4_|
z!x{eV7D3<WeYiJG#-Uv#`=<`{@_-dLx*23Dj_QSXVoi@Kp@X-{2^UNiAfg>ogr_9Y
zQ;6{9`D_(*1UvsN@2esRW{9#RyGf%synk!SxGL(Gvh-;56%IUTvirt|WYBSEVVcuI
zBy@LU%+GOK2|D2Wf3MESq49dZFXij1p?Dhfrg9kpj@9b0n{p_iDVjYUGuG<p_{@Be
z;{*}r#`*6`)+wSox|*sDW@I!e&gEL~6E&c_<KwjEk3+q$&iy?nsDa+h48BD3oDB7)
zEDmS6mC)-&)ufGQ8Yn&E-0S8)nh>W^M=w*Vj4~273#;ihQP!rfM;dH&fTZ2h(J4tl
z<+5++OweeeikSSR>%DsLI%`vCCO{R{I+L~?T%dtY@^$<E@HYe*W6={Y^oS@m_|Bu%
z4l??peo81T0^okX#N>1V5sm9=v`M_Jj_%c;`^faf2-aR#n7e-=q8rZ7^8am<&~uPY
z!~2#3B`;cVf&E03@tz?MEe8>Ob+Im`zQP!^&UlJHc}zqT6gldWQ6&`n$y=?-#{@$9
z>kn#~6Va00(82*xMYJ?_D6nwc1PX$gqC(H9qWJN$R=*Q6sO2c%PYHQb5Pg<W6uPN`
z)(ssQ8!Zw=qugpNMM$O~W@_6atf!2cV6VUT7vx0`W$vBoJYWj9m1!oA8ROANNRTe-
zVnR(5+;g5bn!uocAf1>T7M&Q*vJjnLq9!yOAC|E-0nMx-`+-?`G^b=Nm7V4@l5Fk6
zdHS<4@Vr^ADt{`AitEZbK5tq<Mmx(=hjopir}w*HQJ6Hk8Y~)1&qD`(HfV@@5e4*D
zh+9p066nl3pOqh1nSn*-g{K9E0tvzuBTC^SXchBk+Qn-Jpj7c_SJYV}$hIC*B4!Gp
zCmT)-e{$mhW@n{Sm%jn5KAKN*nB_qSi`eX2gt-70{j%+cEr5{jz^H;WCt8DzxPSE_
z7YIFhn(!<efxEXl{z|Q5(AuXb)7JiQK>*F6Y<!*}@JyB6^m3<1$Db{RL~e0`zuS7|
zSh)fCYm<HIvbU)`HbR!O(_C=kMoBSmn?ATS@hJM7U#4Eyr*6%+aDg|b&Z2Ww54tsR
z=J(<zsRNql%3W`BK~;&J2nRtA%(SmOLUlT+DRJQ*Whc4d`rcvN?jT(#MvwmIbhZV#
z$K8K0)PM_AGIz=e^*YdX;fmvB+&B_@<I+8<I2Qz6_fB)>)B)jcYxA7u8H9O+@qs-X
z7u2&o&(A-t4cEOhPC)q*;zM@apxK{GpSEc9@6>_;Dt=Lkehq0d=!hPZ;DT0Hjq~QZ
zS`h7Q9P!`wCSqW+)EZ&N1x}?Bw|<ms0tY7j8n$#78NkmB&Ryn$O=q+A1zAln6JfnA
zc7PT<|1c0l2Do7M!koQXkp|EQK4*JSMh9P>-8oZY%ni!p=jK}#G{DU2<lqS%2Dq1&
zUZn7W8v;IWMV{UNr(N$PM{^n(;Y)D%h=>mlEcwQLF{O~f7WovmsLu=zSMA?32=Rj6
zd7p#cgX)lN>fBP*fPtJ<xvqdoURZuG6+a)Q4(35ii?v3qAR$yr9_ZkMVCr^{qNqBI
z(7vin={f*<$2rBPy7^(EUUI_ey&6QO|I2d>WCyjmA3Hh=0`TsQ`HP`&H5lhw=VcP(
zgg247_+Y#c%#m0Z<<!-{?4@|J+*vL#O?Y;R6ekQ9TVGykSRp~_xiQ=K9^7zkEPkGK
zMFau`v+zh039LPMN8*q1z_;fU$)Sm2uyp8$t4}rw(taHs>^sQ|bVRx5bs7>t^Iyb=
zjZhMhJ^LO=T;T(OJ4{<av{ImJTKRL%iv*3qymvCI`C;qr0`vP-DM-vm-&wklpgwFu
zL2pd}<g87tLpG&B#^{T&raK9~fX?EAwGg0}2x7GdWT91+etrHd3F-)M9n5Nl;a0m{
z>RFr|tYt+8e!WQog12s1l#VFa_@xUj*~!Cf#Ahj+Pb7FTwIUtVAqE*&WlXl>6=3D4
zdFVGDHQ+ck4lx%b;NcI7<c(TIm~;>RwH~AfIHW|ePFM<TUWHwpU&KNsU+cXCKh?mS
zTVG9sMj9yW$)@g#c&K91>~{@Rht@wF7kg)=VPup0w5p>L)DW@elbmFr70Jl>G$sRq
zqQu(Q=ak_&tNCBsHZr8xJ4Q71$wGV4@%1C&D&P@qclOym4JaM(6CM662TpQ{%-1{#
zkZ<X$<DaGpoDmFPOQ`Ztv0@l)EujjJx+*^HWN5)?0=Wubt^ob%1~im%Rp4(YW0p#^
zVRcaa^<=6dq|gi2I_;>!;q%*~#a%j3=`tX(?urE###bj5nTTL=E4ayoQ4g*&-R05a
z#ev9}BSUDnDrC3DcZ?zWAj)ex9Qzyxd&zM#wue+9d2=N#Il=&#bI;U$QpH1A%^`QI
zAOifp>64LNW(b8C{ImQNJV-g0nGz4F0C~?!ldlZ{wTgTv?Rq>c;G<r94Jg5v!+lP9
z0RS2FACeZD@bJU(xW#)c9t@W*{rkJ0dk?2Lc8?U`LABfCo4Y9%dL4e%ryxd<|G{I@
z(*h6G`Y+Fh=_^1@q`ahYnh_K`{|yOk$HC;1N>7!z9P}h@p6q{X1WDho-*?C2K*{Cr
zi}`hFh-l;A-TYw$4nJ30`8~0qr!~IrTPF!&+CA=;vqmu1%8t1irU;KGO^zfy6@|@0
zZ9&3MBRF0+92Rw60VY{>cIkc#LUUKaM&WxS$jN!;*X<z>4zWU}_;Y-~Y5aSLCC>;F
zMJG)k>B+(9#LUto7jF2vohrHRX|&H-!&AdtvcNxetLuX)JN(Ejctj&=1eAC5e<y!R
zLsEVmZ+IaFWQ8x~-fRb$@K{Q#sFeb5R;kl<Zy4Z|F7vrR`&@2#6cqGPSrS&)77fm4
z(Sk~_Y3;N$fXBwe6Ea(3K#V_D{!VlkX_q-V8gLB(e8tGc&7UH`YJJ|z2{w_hyN}Wd
zeTE>BJ@7qkMhIAvtnPXQtsyE{A3n0UAt=YsIrZ}i!UH^q0z=|H?@DhPaGo%L9;#R=
z^*BFtxiZTd`}{+4wEpnUR_eo<_{dQGue>0iik1&fEhCul>bgf;dT?4^x-cey2h>SR
z>z!N62qSY~@mEVds7$um6_VoyU!iUJ7YY9m=JxHAgZFfSdi2Az9Nj*LSb`>R2dyAu
zm0y?E*L2|Onckfi1`eP{zDli?uOh}n`B+y+9hm9%Tdp)?1LYTtkAs!h5$C7@5@(Gz
zI6vfRZhp@SbF0<kX_FfWv9!8dPDC5}9+yd$#IeAUVPT<TU$&5!NfOd`E^9%YRMo^v
z2nH%%Ghno*cMzG9N0{(MO>nlnxPB^+8FbA?*$nt;Ak00Wwc1A$cyI7o%q=oO@sjh~
z+lOc&!g8|9VMqgtB)@$tzQ6=>p{0!r*XSV0QbX3|hz5)f<iFU$GJ#TVrSH=zdSIHX
z@@efMgH&~a*;9HZNWifEdhf&t7vgfzr!HjhY)-f9Vq}8f++2l4Lrl=ADED4sTpc2s
zuKT}NVFJ_I${PMK476xXsw@Ae4(c~APS{2=ffJpvlC=^m_;gWztn8`5^T&3V6Q`Nr
z8VlaBdHVpU9$bD`n5_n)0{;&5L^H$L%uAiRv+Qt0jfLG)O$}BbEU9d&W1x4SKCgU_
z6If!8C7t|A0^=I&TUK@!AWXI$EE460s#^l0w2>q*v=EIx!NLk^r@PuKEqS1*K`b*?
zfdtv)2(D_}0a!Do4Ski#yT7-p8)kz<uuUgC{PiCj^c>{Mh@a<!BE)>5EsF@RjZ5Qk
zL+l`T;PT-?KLPkILlwz$AVRKsQQ_1XPOvYx@QB$E1V^5NIeRf8JS=gV^0>(b*^;}c
z^kZQ#MItRu46DLOGXGXh5;tg^3|6<hAPOa>zN7M)s-R--I`5y!1HCd$WZx6wP};1d
zI&w@EKHbHf53J$^XNB}P-sdIZ^Lov{cLu8PgIYIIGs6e{1%^GrU!-7@wng`Zjw%G!
z#<0s93V?8M_P~WLX|Vq6xpmu46?V^k4UR1n1j=_KsZp{lbQ=t6UP)1f(god%E+k<H
z>AQ2MHChge)Hqd(Csg6p-v-w0FCuWXM_|0VM;?A`KV)%LCxU@cPl!W?7<6YfnR{s|
zLVkEOZFdS0j;}9Nw49Itv&vl7{30ye8{G(NS|dV!ov3dLUJ88k?`%l&?DGigV5uBS
z0<N&l+qYDtp{JwZc;F=^pblnST#{CU0Pt9d)0KhZi;s(nCzWB@|HIJJaWx=gr>Dp^
zvY_{aUF(8AVPCbnG}5W+;9c#rIpZ$}n}6mm;KEhmv#EhGO9L6k*5VH16Xb#0EFj?M
zK_VbtpB(D?GyscZK2%wt0D1(2YL+@8bX_g~&c>kyBT9C+&plCuCX=6y-`Po!LUO*x
z=&22Bu0H**o?(F@z$U0tp9EDymrJ->bl}Xcu&3&M9NhBo${GX`$T!H0OzG%Bb=d0;
zg-|@`GWNuL;U~f4<FY>=)aXN4+VH!6tP(`0aL1OuCc>$bqqqJN{@-ibxSOk$Kr(3}
zCJ{@7)0WP^&gLT^gNxLc<W&YvQTZnl9RwiH3$7#K0H3lqf^-pO;CM>>!?>snCO!41
zesLSYzzD8#QbQR;apO&TAMjvt_;Hm`wh=^~;BZ1$l;GgjO)F1tEW8@&>ocUKfa2Q>
zX4hCHsOmaiIMF8$N&y`8>$Vg~@^w(q>BYlytJ$;=U0L{^<=uNQfdZ2D%{;HSa4?!p
zC#PN{1*@EQc+&DIFnq?#{MkAdb}vf2jiZP`M_sR<dkzJZ@2aK?@Ap)f>fmzL3_(!L
z%>QB@O@WI!shI361$Zma@`QoH3)Mg9-4m=SAh1=Hyk{s6+3jD>Ug+b1MXp-bEH(<{
zm|Je{jmp9sui3j^@)(#q_`PVa(Fnwg-%d6}$pF3|_f9{A4(0>75ycZmz`S5NoGU5~
z*E`D$&jf8D+Gi*+7)B#7ebHejmmmqveLE$jmSyCkPC%X7eSl}V#A2I2VlZ4j(|a;<
z25FrqxxUc`h~)X!^&wCMUTB?PTRi*&=}K!)EV{q%3F(Hb9|VM;W1Di~vw1%v&>^zz
z*kuS&<ZJn3zxiRUDWmP$f1i;ljf!D!Izzbiu~dcdlNZKteiLp!O^B5@hbf!30nmCT
zB;8=)0lNoJY)&}6M&whEev}T@hla*`y#J1J!O>_I{R*pBNDnD<NAkHIc;NTwdMnsr
z#>SaaQP+qJ%k$-#t?0sxR8+{nf2`oDU12i4*NjAq3Nw})>cX{TPK(e~%s#(lAGvwA
zBQw_&?wO_QK!_-wY2BX*#<w${aW{TNGUJ2%Xvei7J-mnJ^Hl~2lClxw3LHcvM~Cui
zb+o}Y`67+<932qYlX6er9z~}4G%@D4wZQQcZ6M()EwoqMWvb@*iOjs@Pfgy?gkm1+
zC_4`tn5QcY={i4&M9|5Z+Iwk2@<gQ1!S}m}d=%Y;>DnLUei~*YzD)zpL_hk+ue5_y
zj>PBQ%9=$ERfoRX)YSm=VU}Xb&n-l=uE}(}XaPC6dQIm}B^gwB6mt5fHW812(Ylb7
zCFD>(cE?VE3=b<^F<azKq#)gN=UB`?WO9yhkfBH&nAIv`s@`rO_4Jje6cSdEs4PFp
z2h!>g9I@4TDSZPuvz8w_b7viKdZFwf{ZI{jAJ{)B&D=l)?<V!ycWxq<*yG8e%4)!+
z_@9X4=MBV&!{ut6*bYL`qx$8&B0<r(D#H`qO@xwArNEK8hnQW~9=T>lg1^`&i8;fY
z$gAVHq$mzr$eI_t<h0M1Sc04F+><Tj(jCG{$3Qv=zLqAm8AJrLiSS^D=iA8I^~S36
z6ZF8-n{JlOx<4=1>}8(ZL0&J1Ev|+!LbP5$t+Kr;L~;xVja%&@CJAX>I4m<<*b!`x
zzfFMC><G3vga+Q_43TbZVc>q&Si8qB6$lMjs>wY@3u8S6=1cqcax^=(Oj=(B?%c9t
zzu`#-s)h8&jD*-B+qt~iq(B+y8pK%z<LIF-@%r_b0i59C-zVY0qzpFon_UY{43IWZ
zUpl_Z1-3y0#_|`H02jj7Ly%(vvxdHsWJey52z|U4zP0buG4%1$Wy~;}e^%MBix(14
zU}*f3@gRKni@B>43!E&f9lCsmAHo8x&k<zt&>qH;_(16Zc>j3YI;kWGyZ6!`+V6Yw
z!?#bH7**K8GMv|JnM)WR<_xsvCF3CKn_lrtcTQ+{9(+|+LKJ*T9kQgIad21fd3VYf
z7eJZk?+-`B;o^OvW=}mF7>gB=%vE?GhRpnOvQ`pkcgG~OwQ(@$8?4or%?tiV;sjX~
zq(QhmRfXOT2c}=S`^P2t;UiD*Y)+yKh|`^3%uT^T{Xv0|-S+~}fo4?S-Iayj@xg8P
zNgT|o@+_uY7lK6d`(7dG^3Y&2{9FGF9z=U_W2sRhASqTpm_t&89J(H;kWvE8+^j$8
zSH<AuS<%x`Q&{-d&99Qjq6|kw?KI9eN<dkz=N)1t9t=|2XRK9Jpes<*?@qE5%xquT
zmWoyeR+4Y5S{4Bw6!XZry_E(r&fg!KtqCxk=5dQ6NrcOR6nh-2EKo<|E-D`&LMMGd
z=Yl8+Vy?6py12^$WypTZ=@${+&Q=vU7^y*AZA_EKYk8nsZZu-AB*7cOM(_OV>LA8@
zC~=Zs5e&}?L64gn(6QH6C$eZjU<Bs6?O808lXAk%r_`V^B64o>u_lbW&OH!BaggUd
z@b;#eI()dLPQV3f!vku8M9nrHe7nbw@$7qH*M9<x8<zWCjfs?dA*KwZx0u%?Cv_<3
z^!O*BuMh9a{V#9{sDNGZkW2Ww8p!A#){Y?>!g5s$cl&o07*$FxNVZdhgQ=zsYis}l
zZY#u`Kmzc6V?VlgoCHcsL)Vs<0e<G3pUkKuz|yC=$rS<-{`O!B*P4xBxk$HelS%-8
z_WsSS%PO!ESo$(EoC40rM(M^P31Cs*v&dwJ2ikg<*{>L5Fvt)OKQW^Mr|E8|8U0cK
zwFQm--{*{Bn$4$nj86qxU)|ir`p81Y*i&xzDr1naBAm<FQ37Am6|c|%Nf2Om<4|Zb
zhT=-<uHpW>25+R7^XUsi14Wg1h-wTw_0~jv5)RDs*1c?`ctNy5)6MaQF*J*{JRZ;7
z=jrH+2!hoCm~_AKxy8yDx(uS#9uCWcUv$QKA(R$E>AIVJ7b%eC=oS+uEC=k^SlLFK
zWn_$FJ^fuG1wNDT83spWpnBWWN1?kPxwd+!aGaY0^nWcx5^qaE!LPwZCHAk>kfj^n
zSNHuP*Q)$wS%*0AaTt{dXiZbU9VCVy7dC<tjD4cnO%b3eHWpj<UZx)LXUTbz58!5d
zZfiJ65Xekzq^r|w)K9bgl20T7;-=<P8!P$X>DNOIk7>53F;AWyC0HZS=Ir3IaDWGz
zGrLaZ%x+V$tM=FJy$!+fuJN3N5hoCy_$^Wwcc@tw32tez2JrOS;_0IUtYBF_tGi^f
zOT}L2Nt1f058*TPe_Z!_$m8XcRTl(ysa;$F13O>z;A7isCV2`yB-Ir$W~c8^kGA8J
zzhU&?1+w(=Dhmyi1x8i5e%hvnos=;?W~K`VJ{LABJ8U8ggeI@3$t@}b)IVmtsskb>
ziAPY46-4M?o|Vn&CKdX^4+Zq?^HJ2jroMau32cw*$Ya^0=17^l2x7J2=X6HoVXHsL
zvKj5SQ_34uPOS5#$FW+FecLg0N%;rzM$7kC^T~B;cISiicO#mxYqo^ZtnWt_D`fFz
zZ`Y_DI)?{&5ltY<^Te8SeMI7K`Nx;T{yq!oC+r_-zydbVYdg9a>F#aUH<?_e4o#LO
zP<S+8D07!hH?WrKmF4PaU$aX69_0C_BAyKVjOG$CEuX2AcdQN`eY#2&oiM!Nv!)Ky
zHWp^>6}?oM38crjca@q;S@AVIs}A?G)gSx0jZoJNpS>Yt*QjFMQQac5YTzJ1(_MXN
zocgn;HZ8bxjcQx4KpYNK1L5qQtT6Hf^_*_rR;SZC^-r#ff!`7da(kkC-|tRRpFM1U
zAxGYz`Xpbid9>fl26+zKet+?Y>Zo@!>x$7PHOYTg@hTGu7}AYYFrI&@Nm*Hy&X=~R
zx9=EzW6UOk*cYRSkF4|5Y=%rOucdA3r}^dIY&aquc)rtmd2E3?lO?&(mAgyzu~sV~
z$Et!3!TWx;=@Rw0#N@RyeHwJORsFBa3j(C9eN$4bU8c(Srg5=b(4riVlRu=*sQ|yN
z!B{b}LKTZ~ef2kt4*iPh<Q^xgfNx*U?)h)4RNlin(Pvxe(UgGx!Qe<`kpJk&OLu#n
zN=|$AfL)srop!!-D6mZlF0c*Oemc8J6?FEGyxPr#jtfo9ACOZ5;z~_vP|!9t@V8GV
z(=7~|Zd{msCjk%HcB%ADw|A*T&3oVfU13GVY;A5N&EnufL|yQS3p8jveOQEiDI1#0
zmfmUZiGwG0O_vuMXwgQdKRfUCIM9a!KIxZ-uwZTQs?<@E9_9FT(zLvl3k{I1VcYP;
zLY>vQ%UOjCsA|d;$8SU)^lw%nF>gT;QiqH<N6eVe65r#hob|k@wPvwtYPuqPGFIlg
z&4WQlq`oO^2JoZyz5g-ev=sr`82a2XtZ2Y>YU)`KL={XX_r#VIU~+)FaYu;_Jr?9P
zXk#Rdk}Y3bc{VD*_lV$!!EqcYR~BLSOpqvQrrq}L(0=dwu5n#8D3J>d<M-(gZx=^z
z2CrD&&s2br+x}h#f4I>!IrB5K1Szz1*NLU<z5>`C74@T>=0zI>obDo-(&)byu?o$0
z1$fEN9Gt<ykIrebE?98LqIkCQhUcP+uqj?N#M>)?zDnG)mwY6L)?~y;s_f_H-Q=@Z
z<4_^Ad0U*w<)VN#z;W_Pbu3&pshG!p5kakTb|*q)uxNg~#g7jd9Ar%~bbVqKN28i^
zK0DFj(LcUFvu%X%u;lgagU2aJRMt)Yh0L-N%B2<l^<01wbiU-QpInndvp-{o4CYi&
z7f0?ZU+GnV)Z1oiV<m%%>-311POG9@!rsvna|C#zK1DhFOcovHB!94-Bcfr$_N@<d
zh~U)wQ>#`=9?iJh_^oD$gp!bjE1Xj#xb{}MNj_HrWn%r^c=x#)n!S0%^q-$PRC&{#
zL3y#Lc}Tj&JAZYQa-rJy4W9-Gt?2Tor{K{1cjwM_|5HbgSU2l?&S^p_v!Twz1w8ux
z&Hd>E7G$*W_u|{S+5H?_#{L*bl+l=9m@Rd8GCJ{K;JF@)9^iG8mMc!Hpdv9}i)-Y_
zXomNUTaCH_j5zeHTKf~wB6eELX0AHA+;)QDwHpFnPx!xB<5kfW2hp}Cb!w=)P>1X5
z*8uWjOp-@SRMF!#{~fPQA)(YgB}>+)M)0CwU)%dt(d4?Q<0YI#^y$r)Rzpb?IKK|6
z8P%$&v#%d*X0<Y!lKb9MSkD+bq}TAJ2CC@CT=fq^Ygm-!=OD8C))?YUKMveFPeA!x
zzx4%i%A+Qy3Ji0^OyJY{K{I(z71W=6ulKfsG|HcM@AT$D6KM9gxZ%R2j7El@(!w;0
zpv&=u#Q)EmtR?4iLh-0u#DRN%P+qisUA{C&+62;gp8>TNi*9ar9k@Kkic)v9KWGda
zL#~6{y3m*c>dC73leKD(`nzg9_}xWg_}a8qk-Q>@hP}CRKWO_8l}q;6BTiOh2p)<{
z=x3Bg85+-s_gKC|_(H^WjM6A@tnKMKA}Wo(zZqy?7e0${>gh(OGE-nzcs<E0N&+2z
zaOG8z#X8bj7(!sXWCWh?snr*zMbHMx=vRxud&sDL$McbO06S8xj#sK6%1@@m*jUoR
zm`ks!!g&C0J$<)J-h5~$yR7Uy3j>^)7`||C5&<{Yw(7_*ZuGIO+DMTUBj|2PW!ude
zLKWprhD`=L+EIFw|9uT3s4JYClA+n}xmg+O!sQsWA4%8soMwa+&Y?p(Vg@i>Z2RPf
zJ_GtpA*@Vuh!Ny3GQM=8=tFsbdCa^44O+>{PS!491oJ-06Li6Pur@yScgALeO0ho2
zuti~nUz^8BkIHo6wPcn$->)UAaPSD#`5OZ?<mwa_&FH`@T56w_<21GLfY_~_Fb24C
zyt3vPSqI!U6rA)#$Ec?{YVYp|F#xIMYA7UV1C!uIj$aFHRGO(A$3vg!Ve-L5d&iI#
zwALKBt6WlqY%LqPi(aRPPUm%oTUuIBU(*%GzSM=h>6@4K`i~y&U{lLUd78jJG^aH$
z`W+cRRWQDFk{-tCX>081G(iNN)%w8r3;8rwGt3i94{V(+xauGc$S#kKUWuGWZnEVH
zLJd9q4*&rF{|%RSIMsg?$0>Wyd+j~0%^j}&J$4cOicnT&sYs}lh=@cPSw%{bibABU
z?x)bOLfM3fkP$`p&;Re|Ip=vl&w0Pj+v92lP2xKlUIf(|FvZSeK0{`Q>)9E=vT{1k
z_b?d>sM3nf5{p>8gU_o+(F{QHh-~%iB7w&G{uV>$KbS|nn#_<mBLwLblXx6Rz}FaQ
zxE!^NJ&zlscOGDb^@Va_s{tbL%ni+UW&gvR^1e<h)iJ?FlAi^S4-qteCHIS#tznb$
zss^DA%)q;i`n{I4pqDw(;L@iJj85sWQ^6t&JUAL~-8NPWSbU0i>-^fn3Ry^W)_d8Y
z;rOKRn79@Qyt(yRIGGM;L~n{&6Fb<F<z<YjH9`OC{=-a_^pIo2J6?946D|vX6^(P&
z1mKMz<7alkZvo4IO*?MTYTotoH@zk>7l(5P5g8!ou2Sr;QXcrK<S-NAtN~Q%H{6sY
zMu?h)9}=CsK<D}`F#3%;)P2q6jbLB~50PhXByN5%_3mDKrKS!-9fo%T(^+6!XYSaz
zp8ym~T-N1$ss=iqBqKd@Hn{z9nXr3Y5PlumQ~i*v21y-%)dcYz;H&0&E8sF7oYPu|
zJKI#D*kmbk4;L5k<i+wb8wmppao*Lus0vNQb3=T19=OC7_Vcc^D6~V`z-=8>sMtVf
z=nZ+n_(TtNSVbIu-2Hn*pF<UnJXh1my2u9uZ5{tn+$2G4QN8@miV93rcD)Vh;D@oO
z)_)y?QjpS@JfFL%0<{eHy(CQqVW?1dYM-PGoO>wyJ5yQ}T>efnZnWc|Zj|x7^Ep}Q
zdcWppdQ27c?yfd#UlM{trw2JrN9BN*Yp%JqQxzgwUoaJ!i-7X>Mr@j!0yH!^|7kg{
z26%Pfsd_ar2&3J1U7t~efuhdWTI%XB=OpUjK$d{-zduhg#VUb-PC>IOK?7=QimP;0
zrQi=|T-m&$3iOqfoupUS1d+acC6Rs7Fk={8=+dkTZ{sgN_nFj$n+2o=EK~-*ZVF#l
zKdugH&H0=O@3g>=Hs9j=To$@n9tR!yqXFUFBdfY^iEz8M{dLHU97HY&4$PNnf{XF)
zQ)k9WaD<7mz+FWFUiM}E4Yt>UYkpJiJgO9!u1`HD>Zb@ff1EOT`n7<|b3`;WLmTYu
z=W5e)31IZzAg@%92-#l`ztfb`feU{x88<d4fq40htW5wBCQrJW<kstgP0)WfU%n{A
z@&kFpB!434r)Z@2gzAIqS(jg)^(r9P!Sy1ENQ5@KuxI5IL+D<y*IBu)3OT#p+TX9z
zg2S>5C1P_%@LGGgKSV|iu7)3|qTi(j%l40&oU8zj@wDS#UQq-0lFxfQximq%V_v71
z(-<~gzA}nFQiFc&7d7lnYA{t;D#lu44C~Vun(^^!(APupq?c5I|2jGfo%Wf)=aiuX
z*Ok>k+3`jw3z-0>p9lp7btVuQ6Inf-pbDWUE{Z&slZQJDO4qVDOo4J{AXB$Y1r$E&
z9uwk}frrx!1@$_nFz6TYs^Y#fh(@8MGHwYdy&i?TW@-xJQma)io=PxNc+BRgqY%LU
zl7AmGOyR#%-kz@8iqP{w+4HdgKVX(YPtMbu0(Va<w||rZEc~D{9;R`Ce`w!v*`0l!
z7RRY*FUr9e(>>*z*BRiMUP<?*V<r&B<eA%hL>3%82Q(hZuVeTk2EHu@6VNy5FiEJF
zhGlX{KGL4Y){c&dKDliS=B<~!-APg~s6;naNbSS)eY{?c5saaMP!nf)R2-b%KNsq8
zD52d+%*s6Z65ub>LO}f`5%6?)t(oz!k0#{O7UN<JkSmdqGw==%4tBT~urW^igN?q7
z&cWb&n0ON#RS*WFKNT*8Ow%-m?CqSZjo@k%nwuEl1Lb!EuVw~kX-j|doF5Ds!mL}b
zUEm8ISc%XoO~{?6jbMGx6qyad*7=nNErb)iUBf)w*cWIyb{;vlR0Ft~YW8YyoE7dr
zjm0&m&C~8P(tXef(1$hsPHW9FCLs9oe`Il<qaFSIy5U8U9{hDGexLt!HxQj)r~J70
zi<aQpZl5==3l+Sd%g*hk2gmdaGLSS)8}J{Ne5tDod8s4A^!!^`i!lrPC+nXya@teb
zym%eRzD_%}B({c0xK-SAUHC!s>@(=V4^tuH%-Qp%`O8>aSfrSB${6i}ei^MzmkK|l
z`jtQDEMW!=2Lgi)M`<OFwndS*wc+@q1FpN)7cemb@BW;vA=()wi~Vz(6u`IK4*hd%
z7BhQpub))YM_bsGiuvYCfnOX%8YOHBQ?#`R*sSWJ)!dz(6aPwv!S7O>6!8fxv8N^K
z<7NkqrQyTb2=g7@wQX0h8jfKA1fC79R$4>##hmVH5-7f2_Xunr!Nv&;2JTPa)2?K&
z4bzcHa3ILL@xs|5ET6w5$>cqvb(MU=4U`gLP48(_!e$?qI67hfUs)w>1$Sz}T#E>m
z-;+~s3-@4(MtgMA9G}qK)ML)dz0`u5Dz<?4m0z*(J?bJM0tvM5IF~2R23p`0bTIo~
zLnrp=x9^QW{&ei9RV}siy(SDvZ+`qi?!ZdrBjz49J;hX#Vn~7Znh;Zz5?H$Y8S_&;
zbvQ%#CH8YOvC*(e1Kz!U%Fig;hT(i43^HD-#oByKR8xMd!xcrPFQSbtm`gc`Xn%Q&
zvDQB3E0a)%k?uM{)rn^8g!5~wb*DzGtvxm4>;W}6s+a1?5Y&uOMVvKq2R>qFGz^?x
z$E$**>q=#VTQde6R>`WzS}-7R9<~3V0!7hkym|S}*wr2{=EmLam_rwED6px3eVxH-
zkzosVqj59UY`g<A@DgHVKd1~J@8niKmT$%W<WDLx41B?KqDr*C=PJR-597}9!#n#k
z%^9=Kbz$YRBcBr%2=FwxJzS{oGj`7>(mYDG7mM>;GoP{`z}o4A+D9Gj7>7}f|JSH~
zY;4-nbtq2}CQV9MCk8vPBs>3wD()f7!KPk&AH5=QM5eC9a(}^!OrN^id>zL06+*p4
zeH5Tr=a-oC$*)-Q<kiQiCr2?Ae8`qot2}7hDkOYZ?84}gT?>V040EVB))uNO4@b|Q
z+Wr1<4<@<0CNgYr9Fx8n64?Jl4qk0W-2R!|hq(!zj3RYSVE^pdZkkHSL8@DCm3zqm
z=3$uAcz^pRwz8lp^)N#g$mB!GyI8+rIMYkn@g6f6SFuX{G@mT6<uXkd9~i-`gjXc@
z($8U4O2QJ{w`9OmU-pW_yHTv^C8Naepaty942u^FUIw;R?+UOU8N=8<^%JhMFJh~@
z?6aM@(hyM7B!t9%U`2MnM_#urVXMN7y91S_!L~G*agl2hbE=ZmHF*0MJAC;5hlwgF
zsN9ohokN+z$gvW74nJ40O6!cH<~CBGp<>?oU&aiUs*)VkzjqCL5Z+X8_DK>_D?c-s
zQ|GWerlB~)UmMt$PY;C*=_KL)DSwl)qy<d5FKeWrdmAg>+#GAgBw(&;Z=<TpA{P5*
zt1#jkJzQL+(>#4m9EPxWVMi91uot`2KhhuE4WADOc+~Zafy)q;_21NA>`q@vZs|To
zaPF3pj-rY|N?F{b1^ypa^ayhv3TFm)cTx7Ld!jIC^1NIqat-tOS1jf+!@6_bQPBkg
zqM+b8wlJW)iPd_>|9zOv0kg7tvOSq1AYH#5YR^pvf^A2I9;R~xF|-XpMFb*wGN^@R
z^icK>)-MF|!g?2@npKA|6sWLWe;&CT9vj=+jhgVoi6xnqxkO=zPx=-m6vYUOju{WV
zEd=3!W-9b}2t(a9!Nv7g%mBZS-_70m>lk|HTq5m-VN=_yx>uPE+8z`$IxY!Azl(XK
z&k14ZoXA?cHOv8D80*xJKN17=<!meBQ(<r{Vsr=?<c3wBcikCxB>^uHqPi|B0wWzS
ze*U|~3sveqBSitykWqDB;L;}%*oZM;J>ks{H|OHA-;iaYy!@WA^BYkZ`13ws+*1&E
z6%JK-%E-etU()_lEaGtE_xtvHsd!kV{hX81QH1PV*TP?~Bw&}2<&P`N!XRS$&cX7m
z63oFj^`6sGkcSJ{H<m005&nDQ{CZTtVKmnxxoL-^TaO$yy(FO}@mlh`!|E`jJ?Fw5
zDhsQ2mf`QTrGfX{msx|0n!u=`E2VW+9@xUd<hXle;7kvmZK_oZ44bAI^mcep)!-mI
zC(FU*cDe^oBuQ|dk}<Kgs0<bN_4LMf{zzqcsfjpmGBDqf4R=1N4mC|O+2aNTz};mu
z$i7K|NO#Gn6I3m*;cz%jkx>Rih3rw$8`?0pk9Vm*k_39?nJ1VTRAEHj<m%KuD#S5N
zMEvE@hHKyaTbjPA0jqPmX-O3oxK{EX?*5_!%_6nWJ!3S$VRc6K4UG!*LN5-f*Xx5R
zG5wf(q$Zqdvpt$(ONBx5xAMIAM$pDiH904$1>NIsH!7U9VT`A!Rc-{pJNfgkeb=>M
zywV~h<_8&4<Pw{MElpsuZS&YtgBIMocS?fgFA<JQAKIsX%@iv7`t<KNYJt*I12dys
zO|TmiWYM~12BB@s`_9E{K}JxYRsV(xXlVGv_qv!vB~NeB3Xc}>6-+$0J)-~?DY!}Q
zVRP^fI(eS;s3t7P<5eTROTpGQzs)mY3-C{J=;Bychg5I*^?5lwT&8<<hJ()nWDdQ&
zurRI)##3EdZ@bwbw3>aUro$XwHSPOnnyL&=s@|hq7niVi1a6CRZ*$1E3AE=IBEU~i
zDtGwucbc5vhwQi>Gk8`{-EVVU9yUf7Gk2xXA(GuIzEz4Dgs@(aNMDnI6LZ-yHe;;F
zeuV88!*x@59G-pj)_Exq{UiPdyTpUs%1<|i4VZvujFUj1uo!SxT37b+@*`GLwykXq
z6Oe5ZTzMFShl>W%>-|Fl$SNeP#XP|nx|TxdYxVizpK2<uniYpME|>NO%>xuC=ALef
z=Yl<Ztk-L*aVV3$mk{j=0CKB5oo38%X6&o_1`i&6(~08PTZF+m(Sl%+LOPIU_wP1V
z#G@18HBq}tjG#KO{LJY?e=*x99>?wY@o1Kzv-@|0A<&ztnfr?Tz*;W4ro~U-(5!my
znUom=NKTz~@188eR1;1d41JD6yDtxo?~^uw)F-WBLF8dtjDvn%`dJ*(iO3Fq;H?h>
zZ_IsMWanuL+QKZIrZ`j_mGFyFp$E=l2ZjQ!Ez^i%><2_8acG{UCb5r856T5DxqWWh
zpy^C4d9|?P(CWa{#pGaJnEmmG?w$@k8evJUXXeDAUr{TkZ;a~f<ech_lb?1Ye6*%H
zy*v)#jDFZ_IO)I_Wizg987B1H(EF3lAso_8WMtUvrou2UcbtYT3mPD+UwE90L&pdG
zr|-K`;drD$hsz;0q_n{M@FzVUeGyn+8K2RHrK&-<MBqS7KUmhSF5?mNzn{30C~a7F
zUlsDfbD_Pidy3|8Lg-HmzwwrYHhep*UfDImjY4iMIJSKhLJ~3Gi9hQpuwD=&k=((9
ztT(t;KBfsHi^6@+GXp8$`Zlp^v5Xg~?Fl73x+sFYvut#%<taeT3pg*7#)sULx)O00
zMbU#cyte&!GL%7yIb7sN0WX`*m!^s#y^K+7++#A-C#0wy^A$j63)&5*>c!FL{d|K=
z=gBbc(0JMEh#->BWVUAKlthM+Dp!j4lcA-L!`9CchsO8LrKV|1p*vGaM{|ig`f@J|
z26sHN<(#6${+2>z@_hW!Qe-%Kxp7)FNC?%*YZ|9jN~5(Yc0O(qGW@&f!0DeNjF=fY
z{;P|TLF|jWtat6`b?myLPu7Vb@guuR-W-udHIjRu$&tvA=6X&*e_0ewOMUTXq{^YQ
z9yBjw`<=O`Ez2M2i=($DX?73r^2l@V;~=RRGKk2Qn&NIqAg>$XXS61dN+ur!N7R#H
z-GYf4Jtc`yq^lp#paL?%&Qo^rQ(!AXdrxJd6iWHbe!Htm5hX5ni)jW^VC+*yoR6C{
z8t0T4ZA&5`2ePG=^Ed_699tn8FM~LFuIn}&RzmCHd+XDDwLvN3M*X=C8N^eV=D@?R
zi~`%KDz{g)p&|2FzSDJC<lK~VwX#wf-MuofT9-qGPiLrSmM}S_&XRj522(*%^f`&c
zwmQINur2p-UJl*$xxRuuRzcjF48sSwbm4;^i#9$}9_`w<B{w#sf+ocN2z2-A!jlY}
z**T&DqTF3<A7NBQw_-ernLE8kYb@CtLkh@2%z`;+Q3dUmQ!v+z)(1&h689f{Mf4jd
z<2(Lb1(lo6Hq|*Bz^{5a9N$Al#K|@>{9RWCS;!NK>zamehx?*r|Dq!5m(%eoy`_xk
zzIAS&+%klaD<l3h1OhU3yUn@pjS@N-9vyd+W(4m>XjML@1XO1AV)=X>0R`+Gj1~yQ
zpsQ?Pkja>Un6GDr=4L1&I`()|E+&9oZYp8M(gZ~EGH6ZzPXVc&A2lcK0WdAfw6+>o
zMB014T3Rg0p{5JmoLD$O@=bvYA_<D9s)lq$KTa0$yUu(#k-yXTJD(T%;uX=~ldR<`
zf-)$LOj|!z2SBP|I+u{3fQlu51Vt4{A$vB<RF{tcR~zmA22RVPQ)z3rCoW5%(E$=e
zPb0u7k!Zu?RC#ooWMAXeEs9$5+9PT!0Svh5(izXmp~VqhHLt_M2-SofBjo@@g<Zb7
z_CyvbguQqq!;42CiM>iZzq4mTlK*123<~`Bd|Z3CAQCg+@>I9lsrMgm<OkEqpn-?`
z4pb5O(FpHiP^2J$Wmx02_e#=exNmwq?LIG>Y`1)0^Adwr`$d7VLsE!U|9Hv|YaWyp
z<tN2Y#en<%zPV3alIW^lT3nqs7ZU0};%!^D)1$X0t=OZ)(Pj7aEcZMP)EPZpd|JT>
zL{dUXR3<UxeK^*ZX3mbxhaA0#S%$Fd)d64qJP{OnvhbwNUN&^S(;LUdVhGKrwS4UC
zh0&X!c&p_HtmxQqsf59K11OgFC=!+yLMm2?eNI-asJ8#t(3=T;*r-tS&1S))j8{>g
zji{{1(rT;F&ru(APS7y_om`%(3Ou9Z$%;Bnx(k1P(t`~VLvf@eh{BFowLfZLMSHz6
zY(5(4!JT@u^$;%s^kRE1pxKEHMHb~VT&mQCc3&1Jjo180u~2!rS(qKoy+0@Dt)&b8
z1J~Mp6#3EU;&<6+yE%}k^n7V&i4KUh(ANi+@*!|h&$8s_L{AP6k$8wYpeqqKm2r>{
zl^;2trDMT`=6df|yS=6Y<>~1aJSQJICA00`euo<=x6DXwnovRfGqR%$^CFF|-qh_l
z9`sW%@VZi`HhdBN&9D2B7v-Y<*82x}k<nJeP1&6sxFGKD7WRP`X?rJ>TBz|M%{S3f
z>f00uHNEQMJGi6MJJup0#E*tY6--m^Qs9I{>qsaQ9}@a6zw<J`0HR%tyq9fE0ij~^
z@0R9#=;YV5*<ndRgr4~B%AX;Fi(kS-L>3=%I>tKNWQaq~`M6fL95Q?eQ3x2`=0m<c
zWUgL+Jep8XJECt#hCNI^0azG6l6~qTdaqOnIdy(<dd5ozvmDvMST+IVSo$-)m`Ma(
zzLU;9(L;jv>%At$&jiqXm`6rPpeQowGmgLThy(+-PdS%*3nKafJ2ta9F%&71lfWK9
z0x61qQkDh|g{MocYD7w)c-|`(|GAUk>E$q+<6L-@HAez^eko+Ry*q=$ngp_<%L2mm
zLdZb5CqH#w3Z2@Vcq(W@0xrA?UkbA@y7bSo*sMz$HI7k7_nVUd*T_%Kk`_TidF_%G
z^)kqics{cD5D9`*H}5ywilV26=i>Zd%c8hdIzfdH64-Dbk50NNh77q*^(d9gp^ye`
zmYO^g+!}~C+8!21pC~QAg39Dkb>bGzcbEkES1E>r#yfZPTB*LeQ~_;t*IEjwli@at
z!?5Au9nN*k7mqwsM0upsTv<2C5OGsqrXMejq-71w2n7W6OwQ!gZF&mCZ3TYv8IVSG
zjFwdGR3$W+p2Zm*M*#^Jr9GqvGHC5_?HR#9Wu(5BrRJ2BHeBMSI2oOgMPl`d&XzlQ
z%bvsheRqpCoD40#K+uvyexA?1j!vo|SKB|a!SPh6_W0nX`$rBP45kRxomEAc12xsg
zQ3vJ?zTNRIl}Cq9+ULI*R7LKS)2yK+UAXRDzxR-*0wQ|ErvAdIA>RDsd!<G7fGhD4
zHHt|QmD3R~m`JLj5{szIZ`kyqY@<rs^tK|plVPov`&$)d&TfR`xAY;O_N{CKM?mCx
z)*1H%RkXsi%<j2h0B?T25;eR;KsPQ(%Dvj*QAOLNpZ}mC@G%*)&NdQIxRja1IKK+A
z^U%s0tTlpZ&L@KxeiM*FhO)IIvocBxZtOXkh`|qQRg<j^0`hD~P<+%(Ktqw&4vNbH
z;Jz8%@R}qb<rqb~gU1z-^?1QFYcRlrkrB7hQUdb7lZkvL<Wb*&2Ae|_0NeKuPOmx<
zP_#HzZg&5UPiq1KV?O}oJ7SY=epf_GmGWQQN@P%f`xAc^W@G5iHI#X=UlB=)W&hgZ
zl1BYSww1a<#vsNU|0(^U0$P>ke*0iS0uf$r4Bitq207R2!sStUq-~P>+ICVDoy4n8
z9OW>Ej{yt@^IY;sKlQ3>9=9-RH?6Db`VF8!J9qnox*YO)P|NT$7>ByE-oH<3255;D
zQ2%Hyi`vMIGI&t|gil?+Vvr4h<;-&MImsa5tq3_fRzAdD`(IR|C%~EX)RG84X_Wo%
z-}nn79`qqL%2RU3pQhmw@oV8yNMAO5>GxSqBv_%>GF`jl=Ls>!V0B5<y4Zd8<zF_`
zE8O4KqJqIc`bm!cLE`9PFQcc)9~QL1s7TgNH-gR_=In1xq9`jkbRzQ@Gn(=7mLRSh
z!e~Ns>{)#gG-N7uZpMrWJyEipcXT&|=iz+!Q{D@qPfWMPtfLr_vCYy!#(D#&6%#zT
zu#-C%*ri>B`52L#zMI;9MFTjHDr!_n#G!Xnwevo+45&Ezh$8O|eUNSVzG5gSh-O{}
zpCGU?B32sr>dGHIIHhG2_CZhpoj9^&?0J+Cam3P%Uw797Q%!rPH4;D4&)|BgHpPhI
z<NxxKTXi94?~56W(|m|~!us5sTqgAFV=&FqNEZ$j@L@CWdC}|_f~C_XX7o@zN0+T!
z2N(|u9%InsMas)2lSUCN$oSfs<_eV^F3gP|x%+_!Ilok1%gbX$VkMu@g~wE=$^PM1
z6TpLdxr_&5$Jx-m=#<BCN>te1bxG~GIuD95-``kf&Vkyr*|ynBv|;Mn1Yb2H4^lM0
zr=QfoiNro|`cQPWVb|MLzluq2G`y$BSi*xF-MNw(L-|Mn+OkLl-vT$<=DX7|dxHnr
zKgp~!aiIXcq}ihfygX>RHbtT5A}{LRrZ2nwmkgBwyI)EG54u5(-!pxl582i1t%*n@
zL+oks82)G;B=J&t^XFB5Bz{T$B&JISp3I|klztv$<>B<;d4T{D(G1umjg!EV+|O%o
z&WplWg%%Zh1(9Mo(-=x8ftA7Q1(yb1R3VMiH<Q4lii_0;oNRaU`5D7gdq+N$%X8}a
zpHLyx#FaZ3#zg|U)uNU|TYP9kmUI|5C5-rTJlNlK6CrpqQZ2EHAJO)YIr^OzMY{L<
zN9zlT;GB7?P$OOdMQ&s?U*-@;>gs{U7FUQ+Ku1>*?k|XfyuRX#kOaz~e!;+hj0k70
z6qT0w;!xX6>e`~Y)DBO6KjCyFLOZoOcRd7;^64rr4rxoH&Hgbv4Lc%`$7cy=vxJb^
z%NN<Vh%$&PEV<{Z3lSa;HCGFC2%}(Y>w5+|vgpOz-QijxL>T5c5uPit)0gtg#WF19
zkmN%iCXZ|)RG+^raVt^`adO!kjX2ArmJ2t-t-laq<>-Ky*s?exQGXx&bXEa<4YxK|
L6eq#|$@??~rv(OL

literal 0
HcmV?d00001

diff --git a/examples/ode/lorenz63/Lorenz63DataGeneration.m b/examples/ode/lorenz63/Lorenz63DataGeneration.m
new file mode 100644
index 00000000..e5f65917
--- /dev/null
+++ b/examples/ode/lorenz63/Lorenz63DataGeneration.m
@@ -0,0 +1,39 @@
+% Numerical solution to the Lorenz63 equation using the 4th order Runge-Kutta method
+h = 0.01;
+t_max = 2000;
+
+t_vals = 0:h:t_max;
+
+[~,size_t] = size(t_vals);
+
+x = zeros(3,size_t);
+x(1,1) = 1;
+
+A = [0,0,0,0;1/2,0,0,0;0,1/2,0,0;0,0,1,0];
+b = [1/6, 1/3, 1/3, 1/6];
+c = [0, 1/2, 1/2, 1];
+
+for n=1:size_t-1
+    k_1 = x(:,n);
+    k_2 = x(:,n) + h*A(2,1)*f(k_1);
+    k_3 = x(:,n) + h*A(3,1)*f(k_1) + h*A(3,2)*f(k_2);
+    k_4 = x(:,n) + h*A(4,1)*f(k_1) + h*A(4,2)*f(k_2) + h*A(4,3)*f(k_3);
+    x(:,n+1) = x(:,n) + h*(b(1)*f(k_1) + b(2)*f(k_2) + b(3)*f(k_3) + b(4)*f(k_4));
+end
+
+plot3(x(1,:),x(2,:),x(3,:));
+xlabel("X");
+ylabel("Y");
+zlabel("Z");
+
+function y_prime = f(y)
+
+sigma = 10;
+rho = 28;
+beta = 2.7;
+
+y_prime = zeros(3,1);
+y_prime(1) = sigma*(y(2)-y(1));
+y_prime(2) = y(1)*(rho-y(3))-y(2);
+y_prime(3) = y(1)*y(2)-beta*y(3);
+end
\ No newline at end of file

From b3cc643481c7622a7321fd9ad420a80b4d18a3b7 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Wed, 18 Aug 2021 09:05:55 -0400
Subject: [PATCH 03/73] Started working on Lorenz63 test

---
 .gitignore                               |  2 +
 examples/ode/lorenz63/Lorenz63Test.ipynb | 70 ++++++++++++++++++++++++
 2 files changed, 72 insertions(+)
 create mode 100644 examples/ode/lorenz63/Lorenz63Test.ipynb

diff --git a/.gitignore b/.gitignore
index 8759aa0e..acc676eb 100644
--- a/.gitignore
+++ b/.gitignore
@@ -12,3 +12,5 @@ lightning_logs/
 
 # Sphinx
 docs/build/
+.vscode/
+examples/ode/lorenz63/.ipynb_checkpoints/
diff --git a/examples/ode/lorenz63/Lorenz63Test.ipynb b/examples/ode/lorenz63/Lorenz63Test.ipynb
new file mode 100644
index 00000000..1bb0f739
--- /dev/null
+++ b/examples/ode/lorenz63/Lorenz63Test.ipynb
@@ -0,0 +1,70 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.io\n",
+    "\n",
+    "dataset = scipy.io.loadmat(\"Lorenz63Data.mat\")['x']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "array([[ 1.00000000e+00,  9.17927510e-01,  8.67924268e-01, ...,\n",
+       "        -6.77990147e+00, -7.12556121e+00, -7.49034267e+00],\n",
+       "       [ 0.00000000e+00,  2.66335809e-01,  5.11733691e-01, ...,\n",
+       "        -1.01378640e+01, -1.06794452e+01, -1.12300516e+01],\n",
+       "       [ 0.00000000e+00,  1.26355130e-03,  4.65403217e-03, ...,\n",
+       "         1.86069492e+01,  1.88253706e+01,  1.91138805e+01]])"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 2
+    }
+   ],
+   "source": [
+    "dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.7.7 64-bit ('base': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.7"
+  },
+  "interpreter": {
+   "hash": "dca0ade3e726a953b501b15e8e990130d2b7799f14cfd9f4271676035ebe5511"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file

From b7c8a6dfdfe54ad16bafc2fcf16c3b3cba940332 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Wed, 18 Aug 2021 10:00:33 -0400
Subject: [PATCH 04/73] Set conda environment

---
 examples/ode/lorenz63/Lorenz63Test.ipynb | 32 +++++++++++++++++++-----
 1 file changed, 26 insertions(+), 6 deletions(-)

diff --git a/examples/ode/lorenz63/Lorenz63Test.ipynb b/examples/ode/lorenz63/Lorenz63Test.ipynb
index 1bb0f739..ee129f22 100644
--- a/examples/ode/lorenz63/Lorenz63Test.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Test.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -29,13 +29,33 @@
       ]
      },
      "metadata": {},
-     "execution_count": 2
+     "execution_count": 3
     }
    ],
    "source": [
     "dataset"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from torchts.nn.models.ode import ODESolver\n",
+    "# from torchts.nn.model import TimeSeriesModel"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -47,7 +67,7 @@
  "metadata": {
   "kernelspec": {
    "name": "python3",
-   "display_name": "Python 3.7.7 64-bit ('base': conda)"
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
   },
   "language_info": {
    "codemirror_mode": {
@@ -59,10 +79,10 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.9.6"
   },
   "interpreter": {
-   "hash": "dca0ade3e726a953b501b15e8e990130d2b7799f14cfd9f4271676035ebe5511"
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
   }
  },
  "nbformat": 4,

From b3a633c2d9cd73e1256b9804caadb0d315a37f26 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Thu, 19 Aug 2021 17:37:36 -0400
Subject: [PATCH 05/73] Predicted Lorenz 63 data + Added Runge-Kutta 4

---
 .../ode/lorenz63/Lorenz63DataGeneration.m     |   4 +
 examples/ode/lorenz63/Lorenz63Test.ipynb      | 224 ++++++++++++++++--
 torchts/nn/models/ode.py                      |  31 +++
 3 files changed, 240 insertions(+), 19 deletions(-)

diff --git a/examples/ode/lorenz63/Lorenz63DataGeneration.m b/examples/ode/lorenz63/Lorenz63DataGeneration.m
index e5f65917..87f8d1eb 100644
--- a/examples/ode/lorenz63/Lorenz63DataGeneration.m
+++ b/examples/ode/lorenz63/Lorenz63DataGeneration.m
@@ -21,6 +21,10 @@
     x(:,n+1) = x(:,n) + h*(b(1)*f(k_1) + b(2)*f(k_2) + b(3)*f(k_3) + b(4)*f(k_4));
 end
 
+% for n=1:size_t-1
+%     x(:,n+1) = x(:,n) + h*f(x(:,n));
+% end
+
 plot3(x(1,:),x(2,:),x(3,:));
 xlabel("X");
 ylabel("Y");
diff --git a/examples/ode/lorenz63/Lorenz63Test.ipynb b/examples/ode/lorenz63/Lorenz63Test.ipynb
index ee129f22..6f648e3a 100644
--- a/examples/ode/lorenz63/Lorenz63Test.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Test.ipynb
@@ -2,58 +2,244 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import scipy.io\n",
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
     "\n",
-    "dataset = scipy.io.loadmat(\"Lorenz63Data.mat\")['x']"
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Lorenz 63 equations\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"sigma\"]*(prev_val[\"y\"]-prev_val[\"x\"])\n",
+    "\n",
+    "def y_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x\"]*(coeffs[\"rho\"]-prev_val[\"z\"])-prev_val[\"y\"]\n",
+    "\n",
+    "def z_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x\"]*prev_val[\"y\"]-coeffs[\"beta\"]*prev_val[\"z\"]\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
+    "\n",
+    "# Initial conditions [1,0,0]\n",
+    "ode_init = {\"x\":1, \"y\":0, \"z\":0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"sigma\": 10., \"rho\": 28., \"beta\": 2.7}\n"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's Method"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=torch.optim.SGD,\n",
+    "    optimizer_args={\"lr\": 0.01}\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(20000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "output_type": "execute_result",
      "data": {
       "text/plain": [
-       "array([[ 1.00000000e+00,  9.17927510e-01,  8.67924268e-01, ...,\n",
-       "        -6.77990147e+00, -7.12556121e+00, -7.49034267e+00],\n",
-       "       [ 0.00000000e+00,  2.66335809e-01,  5.11733691e-01, ...,\n",
-       "        -1.01378640e+01, -1.06794452e+01, -1.12300516e+01],\n",
-       "       [ 0.00000000e+00,  1.26355130e-03,  4.65403217e-03, ...,\n",
-       "         1.86069492e+01,  1.88253706e+01,  1.91138805e+01]])"
+       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 9.0000e-01,  2.8000e-01,  0.0000e+00],\n",
+       "        [ 8.3800e-01,  5.2920e-01,  2.5200e-03],\n",
+       "        ...,\n",
+       "        [-8.3179e+00, -9.0258e+00,  2.5758e+01],\n",
+       "        [-8.3886e+00, -9.1220e+00,  2.5814e+01],\n",
+       "        [-8.4620e+00, -9.2142e+00,  2.5882e+01]], grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
-     "execution_count": 3
+     "execution_count": 25
     }
    ],
    "source": [
-    "dataset"
+    "result"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 26,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "<ipython-input-26-f8e7389386ef>:6: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T17:33:15.618079</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"me74c2e7a47\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"37.767057\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(27.214713 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"77.52185\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −15 -->\n      <g transform=\"translate(66.969506 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.276643\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −10 -->\n      <g transform=\"translate(106.724299 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"157.031435\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −5 -->\n      <g transform=\"translate(149.660341 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"196.786228\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0 -->\n      <g transform=\"translate(193.604978 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"236.54102\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5 -->\n      <g transform=\"translate(233.35977 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"276.295813\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(269.933313 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.050606\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 15 -->\n      <g transform=\"translate(309.688106 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"355.805398\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(349.442898 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m0ab2e2f9ff\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ab2e2f9ff\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ab2e2f9ff\" y=\"216.600695\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.399914)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ab2e2f9ff\" y=\"171.98539\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.784609)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ab2e2f9ff\" y=\"127.370085\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 131.169304)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ab2e2f9ff\" y=\"82.75478\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 86.553999)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ab2e2f9ff\" y=\"38.139475\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 41.938694)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pa813d11797)\" d=\"M 204.737186 261.216 \nL 203.164969 261.15879 \nL 203.303808 261.125369 \nL 214.436239 259.523803 \nL 218.779711 258.558828 \nL 224.206636 257.059194 \nL 227.399281 256.022966 \nL 230.955538 254.733463 \nL 234.911526 253.130537 \nL 239.305282 251.140816 \nL 244.176015 248.675379 \nL 249.562962 245.627371 \nL 255.503664 241.869793 \nL 262.031455 237.253863 \nL 269.171952 231.608621 \nL 276.93819 224.742736 \nL 285.324202 216.449933 \nL 294.296608 206.51995 \nL 303.784201 194.757297 \nL 313.665514 181.010321 \nL 323.754993 165.212473 \nL 333.789201 147.435927 \nL 343.415693 127.953671 \nL 352.188426 107.299972 \nL 359.575449 86.310573 \nL 364.984621 66.116235 \nL 367.812273 48.061506 \nL 367.515034 33.532616 \nL 363.697243 23.708991 \nL 356.196343 19.296 \nL 345.141741 20.330541 \nL 330.96343 26.146321 \nL 314.340375 35.52848 \nL 296.099089 47.0029 \nL 277.091807 59.147936 \nL 258.088429 70.822606 \nL 239.706535 81.263729 \nL 222.385771 90.068913 \nL 206.397982 97.115842 \nL 191.878025 102.466295 \nL 178.861247 106.284646 \nL 167.318437 108.780829 \nL 157.183827 110.176095 \nL 148.375205 110.6854 \nL 140.806961 110.509998 \nL 134.397497 109.835316 \nL 129.072561 108.831019 \nL 124.765728 107.651337 \nL 121.417165 106.434944 \nL 118.971314 105.304108 \nL 117.374276 104.36331 \nL 116.571216 103.697682 \nL 116.504231 103.37171 \nL 117.110871 103.428588 \nL 118.323462 103.890529 \nL 120.069247 104.760202 \nL 122.27131 106.023126 \nL 124.850077 107.65086 \nL 130.817914 111.839587 \nL 137.358933 116.960364 \nL 143.940367 122.644099 \nL 147.112035 125.597516 \nL 150.149335 128.582572 \nL 153.021288 131.573951 \nL 155.704563 134.551305 \nL 158.182735 137.498672 \nL 160.445429 140.403771 \nL 162.487399 143.257369 \nL 164.307612 146.052616 \nL 165.908361 148.784483 \nL 167.294461 151.449303 \nL 168.472517 154.044368 \nL 169.450291 156.567611 \nL 170.236171 159.017365 \nL 170.838718 161.392148 \nL 171.266306 163.69054 \nL 171.526836 165.911026 \nL 171.627514 168.05192 \nL 171.574692 170.111266 \nL 171.37375 172.086758 \nL 171.029021 173.975654 \nL 170.543749 175.774723 \nL 169.920066 177.480108 \nL 169.159002 179.087283 \nL 168.260505 180.590903 \nL 167.223475 181.984732 \nL 166.045817 183.261484 \nL 164.724505 184.412692 \nL 163.255659 185.428554 \nL 161.63465 186.297759 \nL 159.856206 187.007323 \nL 157.914565 187.542404 \nL 155.803653 187.886119 \nL 153.517294 188.019398 \nL 151.049499 187.920839 \nL 148.394776 187.566606 \nL 145.548554 186.930447 \nL 142.507679 185.983786 \nL 139.271002 184.695971 \nL 135.840106 183.034794 \nL 132.220146 180.967245 \nL 128.420819 178.460655 \nL 124.457472 175.484295 \nL 120.352314 172.011515 \nL 116.1357 168.022451 \nL 111.847422 163.507369 \nL 107.537944 158.470558 \nL 103.269343 152.934653 \nL 99.115899 146.945045 \nL 95.164032 140.573939 \nL 91.511353 133.923383 \nL 88.264587 127.126461 \nL 85.536154 120.345758 \nL 83.439338 113.768326 \nL 82.082078 107.596688 \nL 81.559719 102.036096 \nL 81.947297 97.278905 \nL 83.292212 93.487921 \nL 85.608242 90.78109 \nL 88.871902 89.220258 \nL 93.021857 88.806024 \nL 97.961824 89.479923 \nL 103.566589 91.133357 \nL 109.69059 93.621677 \nL 116.177738 96.780679 \nL 122.871407 100.442656 \nL 129.623271 104.449888 \nL 136.300285 108.663956 \nL 142.789351 112.970883 \nL 148.99968 117.282421 \nL 154.863134 121.534477 \nL 160.333016 125.683872 \nL 165.381814 129.704303 \nL 169.998382 133.582281 \nL 174.18491 137.313433 \nL 177.953985 140.899486 \nL 181.325893 144.345887 \nL 184.32628 147.660064 \nL 186.984181 150.850229 \nL 189.330427 153.924603 \nL 191.396406 156.890946 \nL 193.213119 159.756321 \nL 194.810499 162.527001 \nL 197.45905 167.80542 \nL 199.546568 172.761525 \nL 201.245759 177.421238 \nL 206.652594 193.397925 \nL 208.110752 196.760926 \nL 209.755063 199.868326 \nL 211.651555 202.707232 \nL 212.715738 204.019372 \nL 213.869281 205.254916 \nL 215.121815 206.408898 \nL 216.483539 207.475214 \nL 217.965294 208.446417 \nL 219.57862 209.313491 \nL 221.335818 210.065578 \nL 223.249966 210.689662 \nL 225.334942 211.170221 \nL 227.605392 211.488807 \nL 230.076673 211.623605 \nL 232.764725 211.548919 \nL 235.685894 211.234656 \nL 238.856629 210.645773 \nL 242.29309 209.741754 \nL 246.010585 208.476145 \nL 250.022814 206.796255 \nL 254.340872 204.643081 \nL 258.971976 201.951669 \nL 263.91783 198.652074 \nL 269.172619 194.671188 \nL 274.720546 189.935752 \nL 280.532976 184.376909 \nL 286.565136 177.936628 \nL 292.752581 170.576321 \nL 299.007617 162.287683 \nL 305.216058 153.105442 \nL 311.234926 143.12118 \nL 316.891883 132.496418 \nL 321.987278 121.472254 \nL 326.299873 110.372056 \nL 329.596965 99.593269 \nL 331.6494 89.585001 \nL 332.250778 80.810604 \nL 331.23924 73.697811 \nL 328.518913 68.583995 \nL 324.076981 65.667621 \nL 317.992728 64.978097 \nL 310.43546 66.372989 \nL 301.650867 69.564159 \nL 291.937843 74.166354 \nL 281.619976 79.755726 \nL 271.016934 85.924216 \nL 250.077155 98.667108 \nL 200.652263 129.271151 \nL 189.68032 136.370465 \nL 180.993938 142.327685 \nL 174.120448 147.385183 \nL 166.223527 153.634116 \nL 160.084242 158.525692 \nL 156.471557 161.07712 \nL 154.723508 162.1365 \nL 152.984111 163.046654 \nL 151.234462 163.802307 \nL 149.458417 164.397134 \nL 147.642424 164.823878 \nL 145.775392 165.07448 \nL 143.84861 165.140243 \nL 141.855714 165.011977 \nL 139.792694 164.680243 \nL 137.65795 164.135631 \nL 135.452392 163.369061 \nL 133.179579 162.372244 \nL 130.845886 161.138151 \nL 128.460711 159.661617 \nL 126.036637 157.940038 \nL 123.589663 155.974111 \nL 121.139338 153.768688 \nL 118.708856 151.333639 \nL 116.325069 148.68469 \nL 114.018366 145.844223 \nL 111.822385 142.841849 \nL 109.773544 139.714783 \nL 107.910326 136.507846 \nL 106.272343 133.272979 \nL 104.899137 130.068288 \nL 103.828774 126.956429 \nL 103.096239 124.002501 \nL 102.731773 121.271426 \nL 102.759191 118.824982 \nL 103.19432 116.718773 \nL 104.043756 114.999373 \nL 105.303966 113.701865 \nL 106.960936 112.84819 \nL 108.99035 112.446311 \nL 111.358373 112.490425 \nL 114.022984 112.962067 \nL 116.935675 113.832064 \nL 120.043535 115.062957 \nL 123.291378 116.611721 \nL 126.623881 118.432507 \nL 129.987518 120.479028 \nL 133.332199 122.706637 \nL 136.612533 125.073787 \nL 139.788717 127.543062 \nL 142.827014 130.081648 \nL 145.699881 132.661464 \nL 148.385817 135.258963 \nL 150.868968 137.854735 \nL 153.138591 140.432993 \nL 155.188402 142.981042 \nL 157.015883 145.488687 \nL 158.621584 147.947751 \nL 160.008457 150.351603 \nL 161.181243 152.694756 \nL 162.145912 154.972554 \nL 162.909183 157.180871 \nL 163.478099 159.315894 \nL 163.85971 161.373929 \nL 164.060771 163.351259 \nL 164.087545 165.243976 \nL 163.945629 167.047887 \nL 163.639841 168.758412 \nL 163.174146 170.370446 \nL 162.551628 171.878279 \nL 161.774469 173.275494 \nL 160.843979 174.554858 \nL 159.760634 175.708203 \nL 158.524162 176.726319 \nL 157.13363 177.598861 \nL 155.587563 178.314211 \nL 153.884104 178.859393 \nL 152.021193 179.219992 \nL 149.996788 179.380084 \nL 147.809124 179.322219 \nL 145.457025 179.027443 \nL 142.940275 178.475436 \nL 140.260049 177.644694 \nL 137.419397 176.512913 \nL 134.423831 175.0575 \nL 131.281963 173.256321 \nL 128.006224 171.088698 \nL 124.613628 168.5367 \nL 121.126584 165.586789 \nL 117.573692 162.231749 \nL 113.990507 158.47294 \nL 110.42016 154.322822 \nL 106.913742 149.807519 \nL 103.530375 144.969281 \nL 100.336816 139.868545 \nL 97.406457 134.58514 \nL 94.817597 129.218314 \nL 92.650931 123.885042 \nL 90.986264 118.716415 \nL 89.898461 113.851874 \nL 89.452928 109.431531 \nL 89.700933 105.58714 \nL 90.675209 102.432512 \nL 92.386403 100.054818 \nL 94.820805 98.507722 \nL 97.939804 97.807765 \nL 101.681238 97.934287 \nL 105.962615 98.833132 \nL 110.685825 100.423356 \nL 115.742882 102.605803 \nL 121.021997 105.272384 \nL 126.41338 108.314514 \nL 131.814256 111.630129 \nL 137.132724 115.128465 \nL 142.290293 118.732754 \nL 147.223166 122.381073 \nL 151.882416 126.025707 \nL 156.233258 129.631621 \nL 160.253751 133.174437 \nL 163.933091 136.638282 \nL 167.269774 140.013789 \nL 170.269733 143.296309 \nL 172.944599 146.484483 \nL 175.310124 149.579102 \nL 177.384821 152.582249 \nL 179.188824 155.496717 \nL 180.742954 158.325604 \nL 182.067983 161.072022 \nL 183.184075 163.73896 \nL 184.110373 166.329184 \nL 184.864704 168.845211 \nL 185.463397 171.289289 \nL 185.921175 173.663408 \nL 186.464598 178.208521 \nL 186.579909 182.491799 \nL 186.327175 186.521122 \nL 185.743874 190.300966 \nL 184.847351 193.831983 \nL 183.636966 197.1101 \nL 182.095713 200.125072 \nL 181.191481 201.528474 \nL 180.191225 202.858318 \nL 179.088571 204.110477 \nL 177.876208 205.279858 \nL 176.545891 206.360231 \nL 175.088421 207.344024 \nL 173.493646 208.222101 \nL 171.750449 208.983485 \nL 169.846775 209.615057 \nL 167.769638 210.101191 \nL 165.505197 210.423368 \nL 163.038834 210.559719 \nL 160.355305 210.484548 \nL 157.438952 210.167813 \nL 154.274014 209.574611 \nL 150.845048 208.664673 \nL 147.137512 207.391951 \nL 143.138523 205.704342 \nL 138.837871 203.543697 \nL 134.229303 200.846222 \nL 129.312149 197.543512 \nL 124.093309 193.564443 \nL 118.589695 188.838235 \nL 112.831033 183.299045 \nL 106.863075 176.89236 \nL 100.751009 169.583495 \nL 94.582908 161.368211 \nL 88.472753 152.285082 \nL 82.562506 142.428746 \nL 77.022458 131.962205 \nL 72.048954 121.125663 \nL 67.858553 110.238318 \nL 64.677899 99.689599 \nL 62.728968 89.916726 \nL 62.210377 81.368074 \nL 63.276388 74.454986 \nL 66.016445 69.49957 \nL 70.439094 66.688869 \nL 76.463778 66.047051 \nL 83.923231 67.433569 \nL 92.576924 70.568779 \nL 102.133511 75.080568 \nL 112.278222 80.560096 \nL 122.700312 86.613501 \nL 143.285281 99.153114 \nL 178.482471 121.037664 \nL 191.954416 129.582418 \nL 202.782125 136.735854 \nL 211.361314 142.776725 \nL 218.154781 147.937352 \nL 223.612342 152.379897 \nL 232.053149 159.454295 \nL 235.644864 162.145886 \nL 237.386987 163.277352 \nL 239.123788 164.260681 \nL 240.874498 165.090359 \nL 242.655691 165.759732 \nL 244.481435 166.26114 \nL 246.363428 166.585998 \nL 248.311074 166.724918 \nL 250.331522 166.667869 \nL 252.429641 166.404384 \nL 254.607967 165.923765 \nL 256.866573 165.215443 \nL 259.202927 164.269344 \nL 261.611681 163.076396 \nL 264.084435 161.629118 \nL 266.609518 159.922337 \nL 269.171717 157.954002 \nL 271.752046 155.726062 \nL 274.327591 153.245495 \nL 276.871387 150.525252 \nL 279.352453 147.585263 \nL 281.735983 144.453245 \nL 283.983738 141.165312 \nL 286.054659 137.766234 \nL 287.905805 134.309213 \nL 289.493531 130.855077 \nL 290.774972 127.470823 \nL 291.709743 124.227464 \nL 292.261849 121.197238 \nL 292.401589 118.450343 \nL 292.107436 116.051426 \nL 291.36763 114.056107 \nL 290.181419 112.507921 \nL 288.559693 111.436023 \nL 286.525062 110.853875 \nL 284.111156 110.75906 \nL 281.361355 111.134338 \nL 278.326933 111.9496 \nL 275.064797 113.164649 \nL 271.635047 114.732338 \nL 268.098495 116.601748 \nL 264.514401 118.721138 \nL 260.938495 121.040421 \nL 257.421462 123.513007 \nL 254.007832 126.097026 \nL 250.735376 128.755957 \nL 247.634897 131.458789 \nL 244.730384 134.179798 \nL 242.039421 136.898049 \nL 239.573809 139.596822 \nL 237.340294 142.262935 \nL 235.341362 144.886091 \nL 233.576025 147.458265 \nL 232.040573 149.973177 \nL 230.729302 152.425841 \nL 229.635114 154.812181 \nL 228.750078 157.128732 \nL 228.065898 159.372381 \nL 227.574286 161.540175 \nL 227.267281 163.629151 \nL 227.137481 165.636222 \nL 227.178238 167.558017 \nL 227.383778 169.390827 \nL 227.749293 171.130455 \nL 228.270991 172.772162 \nL 228.946108 174.310545 \nL 229.77291 175.739416 \nL 230.750644 177.051739 \nL 231.879488 178.239462 \nL 233.160482 179.293422 \nL 234.59541 180.203219 \nL 236.186696 180.957075 \nL 237.937247 181.541708 \nL 239.850271 181.942226 \nL 241.929063 182.142025 \nL 244.176743 182.122716 \nL 246.595945 181.864132 \nL 249.188448 181.344352 \nL 251.95473 180.539888 \nL 254.893464 179.425994 \nL 258.000895 177.977117 \nL 261.270167 176.167615 \nL 264.69053 173.972761 \nL 268.246493 171.370046 \nL 271.916878 168.340918 \nL 275.673886 164.872852 \nL 279.482161 160.961881 \nL 283.297981 156.61547 \nL 287.068608 151.855573 \nL 290.732016 146.721708 \nL 294.217082 141.273683 \nL 297.444437 135.593539 \nL 300.328116 129.786208 \nL 302.778146 123.9783 \nL 304.704125 118.314545 \nL 306.019688 112.951685 \nL 306.647749 108.049795 \nL 306.52601 103.761709 \nL 305.612334 100.221489 \nL 303.889251 97.533549 \nL 301.367012 95.763873 \nL 298.08466 94.93491 \nL 294.108756 95.025027 \nL 289.529875 95.972616 \nL 284.457136 97.684102 \nL 279.011492 100.044385 \nL 273.318518 102.928133 \nL 267.501485 106.210135 \nL 261.675458 109.773706 \nL 255.942763 113.516337 \nL 250.390071 117.352694 \nL 245.087014 121.215313 \nL 240.086125 125.053559 \nL 235.4238 128.831497 \nL 231.12195 132.525343 \nL 227.190046 136.120748 \nL 223.627319 139.610404 \nL 220.424913 142.991935 \nL 217.567888 146.266252 \nL 215.03699 149.436292 \nL 212.810163 152.506088 \nL 210.8638 155.480158 \nL 209.173744 158.363072 \nL 207.716058 161.159238 \nL 206.467607 163.872767 \nL 205.406472 166.507385 \nL 204.512228 169.06648 \nL 203.151089 173.969885 \nL 202.255016 178.60372 \nL 201.722175 182.98497 \nL 201.475752 187.127897 \nL 201.460666 191.044718 \nL 201.640166 194.746026 \nL 201.992766 198.240907 \nL 202.50976 201.536886 \nL 203.193399 204.63969 \nL 204.05571 207.552797 \nL 205.117943 210.276767 \nL 206.410577 212.808218 \nL 207.97384 215.138342 \nL 209.858695 217.250746 \nL 210.940915 218.217362 \nL 212.128227 219.118322 \nL 213.430694 219.947822 \nL 214.859361 220.698725 \nL 216.426318 221.362307 \nL 218.144753 221.927942 \nL 220.029004 222.382747 \nL 222.094584 222.711162 \nL 224.358199 222.894448 \nL 226.837721 222.910135 \nL 229.552115 222.731364 \nL 232.5213 222.326162 \nL 235.765917 221.656679 \nL 239.30698 220.678336 \nL 243.165357 219.339021 \nL 247.361024 217.578327 \nL 251.912082 215.327002 \nL 256.833376 212.506754 \nL 262.13473 209.030654 \nL 267.818636 204.80448 \nL 273.877358 199.729444 \nL 280.289362 193.706801 \nL 287.015074 186.645015 \nL 293.992022 178.470032 \nL 301.129585 169.139144 \nL 308.303734 158.658452 \nL 315.352565 147.103215 \nL 322.073538 134.639066 \nL 328.223919 121.540519 \nL 333.526024 108.201199 \nL 337.678845 95.129237 \nL 340.377138 82.921111 \nL 341.33778 72.210367 \nL 340.33143 63.593604 \nL 337.214971 57.544624 \nL 331.958741 54.335636 \nL 324.661632 53.987606 \nL 315.548932 56.266349 \nL 304.951736 60.727931 \nL 293.27121 66.800635 \nL 280.935371 73.879748 \nL 232.463259 102.829166 \nL 221.846453 108.880477 \nL 212.09422 114.275096 \nL 195.260756 123.206692 \nL 181.792766 130.042274 \nL 159.55458 140.986191 \nL 149.224547 145.877512 \nL 145.421818 147.452053 \nL 142.158568 148.529312 \nL 139.245968 149.138155 \nL 136.552623 149.294563 \nL 133.995148 149.009982 \nL 131.530286 148.298001 \nL 129.14844 147.180125 \nL 126.868163 145.690784 \nL 124.731076 143.881555 \nL 122.796596 141.823962 \nL 121.135895 139.610216 \nL 119.824852 137.351122 \nL 118.935971 135.170666 \nL 118.529626 133.197311 \nL 118.520853 132.326948 \nL 118.645602 131.552864 \nL 118.904465 130.887303 \nL 119.296017 130.340675 \nL 119.816746 129.921308 \nL 120.461072 129.635247 \nL 121.22142 129.486182 \nL 122.088349 129.475409 \nL 123.050774 129.601897 \nL 125.210904 130.251816 \nL 127.589892 131.387946 \nL 130.067522 132.939186 \nL 132.524907 134.82062 \nL 134.852583 136.941951 \nL 136.956197 139.214005 \nL 138.759576 141.552818 \nL 140.205386 143.881547 \nL 141.253979 146.130718 \nL 141.881165 148.237361 \nL 142.075568 150.14372 \nL 142.009804 151.004816 \nL 141.836135 151.795843 \nL 141.555726 152.510453 \nL 141.170176 153.142425 \nL 140.681506 153.68565 \nL 140.09217 154.134137 \nL 139.405051 154.482022 \nL 138.623498 154.72362 \nL 137.751364 154.85347 \nL 136.793057 154.866413 \nL 135.753611 154.757668 \nL 134.638746 154.52297 \nL 132.209599 153.662002 \nL 129.568351 152.26528 \nL 126.793944 150.333886 \nL 123.983383 147.895374 \nL 121.252182 145.011098 \nL 118.732362 141.782052 \nL 116.567174 138.351054 \nL 115.663234 136.615144 \nL 114.901946 134.899079 \nL 114.299666 133.229571 \nL 113.871104 131.633842 \nL 113.628808 130.138876 \nL 113.582676 128.770577 \nL 113.739484 127.552958 \nL 114.102533 126.507321 \nL 114.671382 125.651535 \nL 115.4417 124.999489 \nL 116.405255 124.560661 \nL 117.55008 124.339928 \nL 118.860729 124.337605 \nL 120.318731 124.549624 \nL 121.903098 124.967977 \nL 123.590922 125.581228 \nL 125.358053 126.375174 \nL 127.179733 127.33351 \nL 130.888478 129.671728 \nL 134.529734 132.448279 \nL 137.939887 135.519155 \nL 140.987579 138.75415 \nL 143.576226 142.041223 \nL 145.641859 145.286276 \nL 147.147995 148.410397 \nL 147.685808 149.905644 \nL 148.079282 151.345935 \nL 148.328766 152.72391 \nL 148.43518 154.03242 \nL 148.399891 155.264437 \nL 148.224588 156.412965 \nL 147.911206 157.470941 \nL 147.461863 158.431217 \nL 146.878824 159.286459 \nL 146.164499 160.029134 \nL 145.321451 160.65149 \nL 144.352445 161.145537 \nL 143.260512 161.503081 \nL 142.049052 161.715747 \nL 140.721929 161.775076 \nL 139.283627 161.672602 \nL 137.739391 161.400028 \nL 136.095421 160.949406 \nL 134.359053 160.313375 \nL 132.538973 159.485492 \nL 130.645432 158.460559 \nL 128.690449 157.235069 \nL 126.68803 155.807687 \nL 124.654339 154.179783 \nL 122.60785 152.355994 \nL 120.56942 150.344795 \nL 118.56233 148.159072 \nL 116.612192 145.816609 \nL 114.746745 143.340475 \nL 112.995538 140.759221 \nL 111.389417 138.106868 \nL 109.95988 135.42257 \nL 108.738273 132.74999 \nL 107.754814 130.136246 \nL 107.037506 127.630575 \nL 106.610998 125.282615 \nL 106.495409 123.140478 \nL 106.70525 121.24873 \nL 107.248485 119.646414 \nL 108.125794 118.365246 \nL 109.330218 117.428244 \nL 110.847085 116.848852 \nL 112.654343 116.630613 \nL 114.723285 116.7675 \nL 117.019554 117.244809 \nL 119.50444 118.040465 \nL 122.136317 119.126642 \nL 124.872143 120.471565 \nL 127.668903 122.041264 \nL 130.484953 123.801153 \nL 133.281149 125.7174 \nL 136.021703 127.757948 \nL 138.674833 129.89326 \nL 141.213132 132.096735 \nL 143.613688 134.344869 \nL 145.858028 136.617246 \nL 147.93188 138.89633 \nL 149.824836 141.167201 \nL 151.529919 143.417207 \nL 153.0431 145.635624 \nL 154.362821 147.813306 \nL 155.48952 149.942355 \nL 156.425163 152.015853 \nL 157.172844 154.02757 \nL 157.736403 155.971746 \nL 158.120126 157.842917 \nL 158.328447 159.635705 \nL 158.365757 161.344707 \nL 158.236212 162.96434 \nL 157.943606 164.488724 \nL 157.491283 165.911579 \nL 156.882084 167.226122 \nL 156.118328 168.424985 \nL 155.201824 169.500091 \nL 154.133913 170.4426 \nL 152.915548 171.242843 \nL 151.547385 171.890226 \nL 150.029927 172.373211 \nL 148.363684 172.679288 \nL 146.549366 172.794977 \nL 144.588135 172.705897 \nL 142.481864 172.396868 \nL 140.233468 171.852086 \nL 137.847258 171.055425 \nL 135.329348 169.99082 \nL 132.688123 168.642791 \nL 129.934713 166.997135 \nL 127.083509 165.041812 \nL 124.152718 162.767987 \nL 121.164876 160.17128 \nL 118.147325 157.253212 \nL 115.132595 154.022719 \nL 112.158682 150.497791 \nL 109.269072 146.706978 \nL 106.512515 142.690709 \nL 103.942415 138.502169 \nL 101.615853 134.207531 \nL 99.592088 129.885312 \nL 97.930599 125.624645 \nL 96.688663 121.522351 \nL 95.918579 117.678888 \nL 95.66469 114.193266 \nL 95.960436 111.157348 \nL 96.825666 108.650154 \nL 98.264591 106.732698 \nL 100.264538 105.444041 \nL 102.795778 104.79916 \nL 105.812502 104.788846 \nL 109.254855 105.381648 \nL 113.051915 106.527598 \nL 117.125293 108.163076 \nL 121.392977 110.216261 \nL 125.773141 112.612318 \nL 130.18754 115.278031 \nL 134.564288 118.145253 \nL 138.839891 121.153362 \nL 142.960495 124.250457 \nL 146.882414 127.393665 \nL 150.572036 130.548754 \nL 154.005247 133.689231 \nL 157.166523 136.795261 \nL 160.047807 139.852445 \nL 162.647313 142.850708 \nL 164.968301 145.783259 \nL 167.017942 148.645716 \nL 168.80626 151.435423 \nL 170.345213 154.150884 \nL 171.647898 156.791331 \nL 172.727895 159.356417 \nL 173.598735 161.845996 \nL 174.273475 164.259958 \nL 174.764378 166.598081 \nL 175.082674 168.859975 \nL 175.238396 171.045001 \nL 175.240267 173.152222 \nL 175.09564 175.180329 \nL 174.810465 177.127602 \nL 174.389292 178.991847 \nL 173.83529 180.770313 \nL 173.150278 182.459649 \nL 172.334768 184.05577 \nL 171.388023 185.553782 \nL 170.308107 186.947841 \nL 169.091955 188.231034 \nL 167.735434 189.395212 \nL 166.233428 190.43082 \nL 164.579923 191.326695 \nL 162.768119 192.069872 \nL 160.790552 192.64534 \nL 158.639251 193.03582 \nL 156.305937 193.221527 \nL 153.782277 193.179941 \nL 151.060175 192.885611 \nL 148.132186 192.310037 \nL 144.99199 191.421604 \nL 141.634991 190.185711 \nL 138.059067 188.565074 \nL 134.265453 186.520331 \nL 130.25981 184.011051 \nL 126.053455 180.99725 \nL 121.664799 177.441483 \nL 117.120895 173.311737 \nL 112.459098 168.585121 \nL 107.72876 163.252419 \nL 102.992736 157.323391 \nL 98.328595 150.832563 \nL 93.829195 143.8451 \nL 89.602321 136.461876 \nL 85.769092 128.822809 \nL 82.460649 121.107171 \nL 79.813039 113.529646 \nL 77.960126 106.331092 \nL 77.024824 99.763838 \nL 77.109226 94.072095 \nL 78.284662 89.469746 \nL 80.583024 86.118611 \nL 83.990731 84.11114 \nL 88.446623 83.461051 \nL 93.844413 84.103958 \nL 100.039713 85.908132 \nL 106.860648 88.692981 \nL 114.120602 92.251514 \nL 121.631306 96.372588 \nL 129.214523 100.85929 \nL 136.711206 105.541579 \nL 143.987485 110.282721 \nL 150.937522 114.98026 \nL 157.483671 119.563241 \nL 163.574611 123.987184 \nL 169.182228 128.228279 \nL 174.297823 132.27777 \nL 178.928206 136.137078 \nL 183.091973 139.813904 \nL 186.81621 143.319345 \nL 190.133668 146.665825 \nL 193.080474 149.865802 \nL 195.694318 152.930926 \nL 198.013071 155.871646 \nL 200.073781 158.697043 \nL 203.56118 164.031209 \nL 206.415523 168.979698 \nL 214.322574 183.563833 \nL 216.613524 186.954521 \nL 217.839217 188.510629 \nL 219.135401 189.968284 \nL 220.514354 191.321968 \nL 221.988147 192.564958 \nL 223.568761 193.689165 \nL 225.268167 194.684944 \nL 227.098404 195.540879 \nL 229.0716 196.243537 \nL 231.199967 196.777218 \nL 233.495755 197.123673 \nL 235.971133 197.261811 \nL 238.638022 197.16743 \nL 241.507848 196.812942 \nL 244.591179 196.167171 \nL 247.89726 195.195249 \nL 251.433413 193.858648 \nL 255.204257 192.115442 \nL 259.210753 189.920906 \nL 263.449042 187.228533 \nL 267.909036 183.991658 \nL 272.572828 180.16581 \nL 277.412863 175.711947 \nL 282.389954 170.600744 \nL 287.451295 164.81793 \nL 292.528553 158.370654 \nL 297.536308 151.294545 \nL 302.371247 143.66095 \nL 306.912352 135.583378 \nL 311.022711 127.221821 \nL 314.553288 118.783378 \nL 317.348994 110.517504 \nL 319.257214 102.704533 \nL 320.138444 95.637181 \nL 319.878239 89.595944 \nL 318.399256 84.821376 \nL 315.671505 81.487482 \nL 311.719168 79.681521 \nL 306.622309 79.394625 \nL 300.512814 80.525598 \nL 293.564771 82.897283 \nL 285.980736 86.281793 \nL 277.975918 90.429265 \nL 269.762616 95.094551 \nL 261.536969 100.057779 \nL 253.469288 105.136824 \nL 245.698413 110.192059 \nL 231.436701 119.872313 \nL 225.063176 124.399836 \nL 219.228557 128.693938 \nL 213.93209 132.755462 \nL 209.157566 136.594168 \nL 204.877498 140.224633 \nL 201.056702 143.663375 \nL 197.655231 146.926936 \nL 194.630706 150.030754 \nL 191.940082 152.988545 \nL 187.392424 158.511064 \nL 183.694796 163.565329 \nL 179.143135 170.357647 \nL 175.117984 176.246568 \nL 172.430903 179.659117 \nL 171.031548 181.201993 \nL 169.573745 182.629281 \nL 168.042813 183.934498 \nL 166.424876 185.109823 \nL 164.706727 186.145981 \nL 162.875732 187.032061 \nL 160.919771 187.755376 \nL 158.827228 188.301273 \nL 156.587025 188.652945 \nL 154.188713 188.791279 \nL 151.622643 188.694711 \nL 148.880201 188.339133 \nL 145.954134 187.697859 \nL 142.838994 186.741753 \nL 139.531677 185.439455 \nL 136.032106 183.75788 \nL 132.344054 181.663006 \nL 128.476096 179.121015 \nL 124.442731 176.099955 \nL 120.265615 172.571887 \nL 115.974857 168.515715 \nL 111.610382 163.920659 \nL 107.223166 158.790292 \nL 102.876275 153.147072 \nL 98.645489 147.036958 \nL 94.619244 140.533731 \nL 90.897691 133.742204 \nL 87.590567 126.799561 \nL 84.813666 119.873785 \nL 82.683767 113.158436 \nL 81.312215 106.863237 \nL 80.797301 101.200614 \nL 81.216211 96.369321 \nL 82.617351 92.53681 \nL 85.014105 89.823306 \nL 88.381094 88.290047 \nL 92.653668 87.934188 \nL 97.731032 88.691415 \nL 103.482726 90.445757 \nL 109.757643 93.044617 \nL 116.394427 96.316271 \nL 123.231816 100.086712 \nL 130.117818 104.193525 \nL 136.916832 108.495311 \nL 143.514284 112.876732 \nL 149.818907 117.24937 \nL 155.762889 121.549888 \nL 161.30048 125.736403 \nL 166.40552 129.784149 \nL 171.068459 133.681198 \nL 175.293177 137.424646 \nL 179.093951 141.017516 \nL 182.49268 144.466333 \nL 185.516508 147.779421 \nL 188.195823 150.965671 \nL 190.562669 154.033841 \nL 192.649502 156.992083 \nL 194.488259 159.847733 \nL 196.109698 162.607248 \nL 198.81522 167.85938 \nL 200.975502 172.783974 \nL 203.57202 179.610033 \nL 207.272613 189.60729 \nL 208.824584 193.139592 \nL 210.538766 196.400762 \nL 212.488592 199.377815 \nL 213.574823 200.753062 \nL 214.747893 202.047654 \nL 216.017696 203.25655 \nL 217.394582 204.373562 \nL 218.889424 205.391164 \nL 220.513696 206.300272 \nL 222.279519 207.089976 \nL 224.199688 207.747243 \nL 226.287681 208.256578 \nL 228.557623 208.599642 \nL 231.024221 208.754825 \nL 233.702632 208.696793 \nL 236.608252 208.396001 \nL 239.756433 207.818218 \nL 243.162059 206.924071 \nL 246.838972 205.668678 \nL 250.799229 204.00145 \nL 255.052111 201.866151 \nL 259.602865 199.201375 \nL 264.451131 195.941626 \nL 269.588997 192.019248 \nL 274.998676 187.367479 \nL 280.649817 181.924943 \nL 286.496476 175.641861 \nL 292.473882 168.488195 \nL 298.495267 160.463715 \nL 304.449114 151.609659 \nL 310.197343 142.02097 \nL 315.575206 131.85757 \nL 320.393698 121.352132 \nL 324.445269 110.811208 \nL 327.513624 100.606399 \nL 329.38767 91.153014 \nL 329.879191 82.875618 \nL 328.842433 76.163341 \nL 326.19311 71.321581 \nL 321.923379 68.529754 \nL 316.109409 67.815451 \nL 308.909214 69.052301 \nL 300.550287 71.982852 \nL 291.30888 76.260982 \nL 281.484573 81.502953 \nL 271.374561 87.335617 \nL 261.251809 93.432676 \nL 241.852672 105.456346 \nL 216.916952 121.200242 \nL 203.670199 129.804836 \nL 192.997951 137.082386 \nL 184.528765 143.287664 \nL 177.817717 148.638908 \nL 172.426668 153.290852 \nL 162.295009 162.370168 \nL 158.82374 165.037284 \nL 157.103262 166.156088 \nL 155.365419 167.124653 \nL 153.592806 167.93612 \nL 151.770364 168.582457 \nL 149.885236 169.054532 \nL 147.926697 169.342194 \nL 145.886099 169.434362 \nL 143.756898 169.319158 \nL 141.534711 168.984106 \nL 139.217449 168.416356 \nL 136.805496 167.603068 \nL 134.301929 166.531799 \nL 131.712808 165.191114 \nL 129.047477 163.571243 \nL 126.318915 161.664918 \nL 123.544076 159.46837 \nL 120.7442 156.982425 \nL 117.945104 154.213702 \nL 115.177325 151.175903 \nL 112.476159 147.891017 \nL 109.881498 144.390409 \nL 107.437398 140.715626 \nL 105.191326 136.918753 \nL 103.193107 133.062185 \nL 101.493439 129.217616 \nL 100.142109 125.464152 \nL 99.185842 121.885553 \nL 98.665984 118.566628 \nL 98.616091 115.589043 \nL 99.059651 113.026791 \nL 100.008162 110.941916 \nL 101.459696 109.380762 \nL 103.398248 108.371325 \nL 105.793902 107.922064 \nL 108.603879 108.02224 \nL 111.774379 108.643669 \nL 115.243081 109.74382 \nL 118.942083 111.269608 \nL 122.800972 113.161568 \nL 126.749836 115.357818 \nL 130.721903 117.797564 \nL 134.655716 120.423775 \nL 138.496747 123.185086 \nL 142.198391 126.036803 \nL 145.722401 128.941272 \nL 149.038844 131.867637 \nL 152.125689 134.79127 \nL 154.968089 137.692982 \nL 157.557521 140.558145 \nL 159.890813 143.375824 \nL 161.969169 146.137977 \nL 163.797229 148.83875 \nL 165.382193 151.473904 \nL 166.733038 154.040317 \nL 167.859839 156.535632 \nL 168.773198 158.957942 \nL 169.483772 161.305571 \nL 170.001887 163.57691 \nL 170.337249 165.770258 \nL 170.49871 167.883735 \nL 170.494113 169.91516 \nL 170.330175 171.861999 \nL 170.012425 173.721266 \nL 169.545166 175.489435 \nL 168.931474 177.162356 \nL 168.173206 178.735169 \nL 167.271042 180.20218 \nL 166.224538 181.556762 \nL 165.032183 182.791212 \nL 163.691494 183.896622 \nL 162.199093 184.862702 \nL 160.550835 185.67765 \nL 158.741946 186.32796 \nL 156.767184 186.798257 \nL 154.621036 187.071137 \nL 152.297963 187.127021 \nL 149.792697 186.944037 \nL 147.100608 186.497993 \nL 144.218134 185.762398 \nL 141.143311 184.708659 \nL 137.876417 183.306398 \nL 134.4207 181.524068 \nL 130.783261 179.329826 \nL 126.976048 176.692834 \nL 123.016955 173.585 \nL 118.931027 169.983255 \nL 114.751719 165.8724 \nL 110.522086 161.248539 \nL 106.295872 156.122971 \nL 102.138288 150.526384 \nL 98.126337 144.512957 \nL 94.3484 138.163909 \nL 90.902931 131.589736 \nL 87.895942 124.930398 \nL 85.437231 118.352601 \nL 83.635197 112.043615 \nL 82.590486 106.201319 \nL 82.388849 101.02089 \nL 83.093805 96.679448 \nL 84.740024 93.32045 \nL 87.328322 91.040227 \nL 90.823162 89.879198 \nL 95.15325 89.819256 \nL 100.215342 90.78805 \nL 105.880905 92.66922 \nL 112.004792 95.316722 \nL 118.434813 98.57054 \nL 125.020975 102.271338 \nL 131.623485 106.27212 \nL 138.118731 110.445937 \nL 144.403134 114.689654 \nL 150.394803 118.924375 \nL 156.033418 123.093479 \nL 161.278778 127.159308 \nL 166.108472 131.099331 \nL 170.5151 134.902347 \nL 174.50339 138.565183 \nL 178.087429 142.089958 \nL 181.288159 145.48199 \nL 184.131212 148.748258 \nL 186.645108 151.896385 \nL 188.859801 154.933937 \nL 190.805553 157.868054 \nL 192.512082 160.705237 \nL 194.007952 163.451256 \nL 196.473898 168.689432 \nL 198.396892 173.615677 \nL 199.939323 178.254848 \nL 201.823481 184.715237 \nL 204.049563 192.464577 \nL 205.210705 195.986395 \nL 206.487188 199.277 \nL 207.936394 202.333963 \nL 209.616164 205.148949 \nL 211.588069 207.705656 \nL 212.704569 208.879177 \nL 213.920375 209.976856 \nL 215.245503 210.992883 \nL 216.690709 211.920155 \nL 218.267548 212.750033 \nL 219.988431 213.472063 \nL 221.866658 214.073665 \nL 223.916447 214.539758 \nL 226.152921 214.85234 \nL 228.592064 214.99001 \nL 231.250627 214.927417 \nL 234.145965 214.634705 \nL 237.295784 214.076873 \nL 240.717777 213.213173 \nL 244.429096 211.996517 \nL 248.445651 210.373016 \nL 252.781145 208.281729 \nL 257.44584 205.654769 \nL 262.44492 202.417984 \nL 267.776491 198.492496 \nL 273.429073 193.797387 \nL 279.378567 188.254002 \nL 285.584817 181.792225 \nL 291.987699 174.359169 \nL 298.503039 165.930462 \nL 305.018751 156.524016 \nL 311.391712 146.215534 \nL 317.446195 135.154089 \nL 322.97496 123.575017 \nL 327.74409 111.806178 \nL 331.502722 100.263016 \nL 333.998179 89.428048 \nL 334.996492 79.812536 \nL 334.306473 71.902384 \nL 331.804465 66.095301 \nL 327.455404 62.642084 \nL 321.325345 61.606505 \nL 313.581832 62.855882 \nL 304.480764 66.086213 \nL 294.341551 70.875707 \nL 283.515276 76.752093 \nL 272.351923 83.256971 \nL 250.248723 96.654991 \nL 220.845992 114.443741 \nL 186.586049 134.915563 \nL 177.485953 140.621704 \nL 170.308357 145.359281 \nL 153.969192 156.472516 \nL 150.445876 158.317485 \nL 148.731145 159.019424 \nL 147.022613 159.569534 \nL 145.305292 159.963158 \nL 143.567017 160.195013 \nL 141.798309 160.259415 \nL 139.992265 160.150439 \nL 138.144493 159.862182 \nL 136.253071 159.389017 \nL 134.318562 158.725891 \nL 132.344016 157.868684 \nL 130.335052 156.814597 \nL 128.299884 155.562617 \nL 126.249375 154.113986 \nL 124.197115 152.472738 \nL 122.159398 150.646226 \nL 120.155174 148.645656 \nL 118.205961 146.48656 \nL 116.335624 144.189172 \nL 114.57007 141.778699 \nL 112.936795 139.285376 \nL 111.46431 136.744279 \nL 110.181414 134.194851 \nL 109.116328 131.680109 \nL 108.295736 129.245537 \nL 107.743729 126.937656 \nL 107.480718 124.802387 \nL 107.522392 122.883213 \nL 107.878798 121.219363 \nL 108.55356 119.844112 \nL 109.543396 118.783327 \nL 110.837879 118.054421 \nL 112.419607 117.665834 \nL 114.264649 117.616972 \nL 116.343343 117.898796 \nL 118.621345 118.494738 \nL 121.060865 119.382052 \nL 123.622026 120.533363 \nL 126.264214 121.918256 \nL 128.947371 123.504812 \nL 131.633122 125.260966 \nL 134.285729 127.155632 \nL 136.872807 129.159555 \nL 139.365815 131.245868 \nL 141.740299 133.390396 \nL 143.975971 135.571771 \nL 146.056579 137.771357 \nL 147.969668 139.973061 \nL 149.70624 142.163082 \nL 151.260341 144.329591 \nL 152.62863 146.462426 \nL 153.809927 148.55279 \nL 154.80479 150.592964 \nL 155.615099 152.576037 \nL 156.243703 154.495688 \nL 156.694069 156.345976 \nL 156.970031 158.121158 \nL 157.075528 159.815532 \nL 157.014439 161.423311 \nL 156.790414 162.938496 \nL 156.406782 164.354756 \nL 155.866482 165.665325 \nL 155.17202 166.862929 \nL 154.325477 167.939677 \nL 153.328532 168.887002 \nL 152.182529 169.695568 \nL 150.888561 170.355231 \nL 149.447597 170.855005 \nL 147.860626 171.183037 \nL 146.128845 171.326621 \nL 144.253878 171.272269 \nL 142.238037 171.005797 \nL 140.08461 170.512532 \nL 137.798198 169.777575 \nL 135.3851 168.786145 \nL 132.853712 167.524106 \nL 130.215004 165.978593 \nL 127.482954 164.13878 \nL 124.675055 161.99689 \nL 121.812789 159.549289 \nL 118.922042 156.797765 \nL 116.033441 153.750928 \nL 113.182594 150.425638 \nL 110.410113 146.848324 \nL 107.761381 143.0562 \nL 105.286041 139.098009 \nL 103.037064 135.034247 \nL 101.069449 130.936643 \nL 99.438472 126.886658 \nL 98.197537 122.97299 \nL 97.395698 119.288046 \nL 97.07499 115.923508 \nL 97.267779 112.965368 \nL 97.994315 110.488809 \nL 99.260796 108.553535 \nL 101.058143 107.200051 \nL 103.361677 106.447419 \nL 106.131776 106.292781 \nL 109.315561 106.712718 \nL 112.849368 107.666076 \nL 116.661866 109.098138 \nL 120.677495 110.945252 \nL 124.819929 113.139562 \nL 129.015206 115.613262 \nL 133.194445 118.302019 \nL 137.295868 121.147431 \nL 141.266161 124.098516 \nL 145.061166 127.11225 \nL 148.645992 130.153478 \nL 151.994654 133.194315 \nL 155.089351 136.213257 \nL 157.919531 139.194152 \nL 160.480836 142.125197 \nL 162.773992 144.997984 \nL 164.803747 147.806669 \nL 166.577882 150.547275 \nL 168.10631 153.217158 \nL 169.400306 155.814538 \nL 170.47185 158.338181 \nL 171.333085 160.787135 \nL 171.995874 163.160548 \nL 172.471472 165.457536 \nL 172.770256 167.677043 \nL 172.901545 169.817801 \nL 172.873472 171.87821 \nL 172.6929 173.856297 \nL 172.365376 175.749645 \nL 171.895122 177.5553 \nL 171.285047 179.269714 \nL 170.536767 180.88864 \nL 169.650654 182.407042 \nL 168.625885 183.818971 \nL 167.460505 185.117431 \nL 166.151504 186.294245 \nL 164.694895 187.339882 \nL 163.08582 188.243305 \nL 161.318659 188.99175 \nL 159.387179 189.570554 \nL 157.284695 189.96294 \nL 155.004281 190.149826 \nL 152.539033 190.109647 \nL 149.882381 189.81822 \nL 147.028482 189.248658 \nL 143.972711 188.37141 \nL 140.712239 187.154456 \nL 137.246752 185.563645 \nL 133.579301 183.563408 \nL 129.717288 181.117764 \nL 125.673626 178.191825 \nL 121.467999 174.753866 \nL 117.128281 170.778009 \nL 112.691968 166.247635 \nL 108.207596 161.159476 \nL 103.735993 155.528288 \nL 99.351158 149.39182 \nL 95.140534 142.815673 \nL 91.204454 135.897318 \nL 87.654383 128.768398 \nL 84.609769 121.594368 \nL 82.193255 114.570348 \nL 80.524312 107.912601 \nL 79.711484 101.845496 \nL 79.843892 96.584684 \nL 80.982749 92.318281 \nL 83.154087 89.18879 \nL 86.343787 87.278789 \nL 90.495971 86.60317 \nL 95.515176 87.109599 \nL 101.27236 88.687245 \nL 107.613929 91.181845 \nL 114.372603 94.414337 \nL 121.37863 98.199483 \nL 128.469992 102.361762 \nL 135.500564 106.746739 \nL 142.345654 111.227315 \nL 148.904931 115.70549 \nL 155.102988 120.110712 \nL 160.888087 124.396168 \nL 166.229699 128.534118 \nL 171.115357 132.511166 \nL 175.547292 136.324053 \nL 179.539144 139.976125 \nL 183.112984 143.474681 \nL 186.296711 146.828973 \nL 189.121893 150.048913 \nL 191.622023 153.144204 \nL 193.831173 156.123839 \nL 195.782975 158.99587 \nL 197.5099 161.767332 \nL 200.410415 167.031718 \nL 202.754938 171.954576 \nL 205.63273 178.752248 \nL 209.031028 186.788275 \nL 210.795682 190.372865 \nL 212.727557 193.659181 \nL 214.910362 196.62886 \nL 216.121544 197.985965 \nL 217.426474 199.251263 \nL 218.835891 200.418346 \nL 220.360893 201.479449 \nL 222.013013 202.425238 \nL 223.804267 203.244556 \nL 225.747188 203.92414 \nL 227.854813 204.448316 \nL 230.140648 204.798622 \nL 232.618582 204.953447 \nL 235.302736 204.887616 \nL 238.207238 204.571979 \nL 241.345906 203.97302 \nL 244.731802 203.052505 \nL 248.376649 201.767269 \nL 252.290041 200.069163 \nL 256.478471 197.90531 \nL 260.944076 195.218795 \nL 265.683103 191.949958 \nL 270.684041 188.038528 \nL 275.925463 183.42681 \nL 281.373503 178.06423 \nL 286.979186 171.913347 \nL 292.675602 164.957557 \nL 298.37531 157.210255 \nL 303.968224 148.72506 \nL 309.320617 139.606098 \nL 314.275718 130.016736 \nL 318.656792 120.184576 \nL 322.273173 110.400053 \nL 324.92986 101.006015 \nL 326.440546 92.376657 \nL 326.643396 84.886033 \nL 325.418044 78.869101 \nL 322.701372 74.581406 \nL 318.499293 72.165402 \nL 312.891874 71.631538 \nL 306.030114 72.859129 \nL 298.12431 75.617512 \nL 289.425667 79.602262 \nL 280.204368 84.477959 \nL 270.727641 89.918036 \nL 261.241133 95.634951 \nL 243.039679 107.036018 \nL 226.772793 117.539669 \nL 212.96684 126.755132 \nL 201.66366 134.712019 \nL 196.879949 138.275505 \nL 192.615841 141.597715 \nL 188.820732 144.703438 \nL 182.428439 150.349714 \nL 177.294986 155.349619 \nL 171.158212 161.812459 \nL 167.664357 165.481712 \nL 164.361248 168.641506 \nL 162.718946 170.023199 \nL 161.054624 171.266193 \nL 159.349891 172.363901 \nL 157.588318 173.308418 \nL 155.755287 174.090484 \nL 153.83788 174.699506 \nL 151.824811 175.123501 \nL 149.706415 175.349136 \nL 147.474689 175.361747 \nL 145.123397 175.145439 \nL 142.64825 174.683235 \nL 140.047136 173.957333 \nL 137.320443 172.949462 \nL 134.471435 171.641377 \nL 131.506705 170.015575 \nL 128.436697 168.056166 \nL 125.276251 165.750005 \nL 122.045204 163.088028 \nL 118.768949 160.066908 \nL 115.478939 156.690832 \nL 112.213125 152.973466 \nL 109.016131 148.939947 \nL 105.939185 144.628715 \nL 103.03968 140.092963 \nL 100.380234 135.401441 \nL 98.027232 130.638276 \nL 96.048735 125.901576 \nL 94.511805 121.300512 \nL 93.47931 116.950901 \nL 93.006343 112.969351 \nL 93.136583 109.466387 \nL 93.898811 106.539256 \nL 95.304084 104.265074 \nL 97.343817 102.695444 \nL 99.989175 101.853104 \nL 103.191841 101.731211 \nL 106.886217 102.295335 \nL 110.992853 103.487884 \nL 115.422713 105.234124 \nL 120.08191 107.44901 \nL 124.876374 110.043871 \nL 129.716052 112.932232 \nL 134.518356 116.034322 \nL 139.210659 119.279902 \nL 143.731822 122.609788 \nL 148.032785 125.976053 \nL 152.076413 129.341364 \nL 155.836736 132.677743 \nL 159.297798 135.96508 \nL 162.452276 139.189608 \nL 165.300007 142.342407 \nL 167.846533 145.418202 \nL 170.101735 148.414278 \nL 172.078614 151.329682 \nL 173.792225 154.164584 \nL 175.258775 156.919819 \nL 176.494892 159.596552 \nL 177.517038 162.196076 \nL 178.341053 164.719626 \nL 178.981823 167.168333 \nL 179.45303 169.543108 \nL 179.766996 171.844648 \nL 179.934581 174.07338 \nL 179.965135 176.229447 \nL 179.86648 178.312679 \nL 179.644929 180.322576 \nL 179.305314 182.25825 \nL 178.851037 184.118401 \nL 178.284113 185.901259 \nL 177.605229 187.604517 \nL 176.813798 189.225239 \nL 175.908008 190.759796 \nL 174.884873 192.203725 \nL 173.740278 193.551618 \nL 172.469028 194.796965 \nL 171.064895 195.931984 \nL 169.520663 196.947425 \nL 167.828193 197.832348 \nL 165.978485 198.573874 \nL 163.961776 199.156903 \nL 161.767653 199.563824 \nL 159.385207 199.774183 \nL 156.803236 199.764376 \nL 154.010521 199.507307 \nL 150.996178 198.972119 \nL 147.750109 198.123962 \nL 144.263607 196.9239 \nL 140.530077 195.328996 \nL 136.545996 193.292681 \nL 132.312025 190.765532 \nL 127.834417 187.696583 \nL 123.12663 184.035364 \nL 118.211224 179.734828 \nL 113.121956 174.755381 \nL 107.905997 169.070062 \nL 102.6262 162.671045 \nL 97.3631 155.577126 \nL 92.216401 147.841882 \nL 87.305521 139.561634 \nL 82.768731 130.881934 \nL 78.760259 122.000851 \nL 75.44503 113.167167 \nL 72.990587 104.671514 \nL 71.55644 96.829508 \nL 71.281259 89.95696 \nL 72.269275 84.339609 \nL 74.57757 80.2016 \nL 78.20644 77.678611 \nL 83.094783 76.801483 \nL 89.121863 77.494377 \nL 96.115659 79.588289 \nL 103.866717 82.846787 \nL 112.145329 86.998241 \nL 120.719329 91.767772 \nL 129.370012 96.903321 \nL 137.904324 102.192691 \nL 154.021171 112.621322 \nL 168.223714 122.268226 \nL 174.486935 126.706584 \nL 180.179551 130.883278 \nL 185.316194 134.809643 \nL 189.924549 138.502807 \nL 194.041269 141.982191 \nL 197.708614 145.267231 \nL 200.971795 148.376001 \nL 203.876959 151.3245 \nL 208.794049 156.792735 \nL 212.801844 161.752925 \nL 222.152838 173.937693 \nL 225.093806 177.102763 \nL 226.624577 178.50248 \nL 228.217586 179.771947 \nL 229.887817 180.903218 \nL 231.6492 181.886896 \nL 233.514704 182.712013 \nL 235.496415 183.365915 \nL 237.605545 183.834126 \nL 239.852383 184.100259 \nL 242.24621 184.145879 \nL 244.795121 183.950514 \nL 247.50578 183.491637 \nL 250.38308 182.744775 \nL 253.429718 181.683769 \nL 256.645657 180.281193 \nL 260.027477 178.508998 \nL 263.567619 176.339477 \nL 267.253503 173.746548 \nL 271.066585 170.707464 \nL 274.981312 167.205018 \nL 278.964109 163.230166 \nL 282.972375 158.785127 \nL 286.953716 153.886837 \nL 290.845415 148.570456 \nL 294.574428 142.892737 \nL 298.058023 136.934666 \nL 301.205282 130.802811 \nL 303.919634 124.628764 \nL 306.10249 118.566015 \nL 307.658005 112.783874 \nL 308.498751 107.458337 \nL 308.551921 102.760458 \nL 307.765534 98.843242 \nL 306.113856 95.828751 \nL 303.601331 93.797419 \nL 300.264293 92.781191 \nL 296.170108 92.761993 \nL 291.413619 93.675713 \nL 286.111271 95.420898 \nL 280.393653 97.870686 \nL 274.397336 100.885875 \nL 268.256987 104.327042 \nL 262.098531 108.06438 \nL 256.033959 111.984371 \nL 250.157936 115.993237 \nL 244.546214 120.017667 \nL 239.25557 124.003488 \nL 234.324911 127.913157 \nL 229.777167 131.722649 \nL 225.621631 135.418375 \nL 221.856416 138.994336 \nL 218.470886 142.449757 \nL 215.447872 145.787225 \nL 212.765628 149.011284 \nL 210.399481 152.12744 \nL 208.323182 155.141523 \nL 206.509978 158.059233 \nL 204.933428 160.885924 \nL 203.568013 163.626496 \nL 202.389555 166.285359 \nL 200.505046 171.373194 \nL 199.121037 176.175912 \nL 198.107643 180.714736 \nL 197.361853 185.007196 \nL 196.575469 191.016334 \nL 195.716244 199.990568 \nL 194.826954 209.246179 \nL 194.073483 214.610558 \nL 193.329547 218.251397 \nL 192.360449 221.583827 \nL 191.549355 223.63911 \nL 190.571325 225.561718 \nL 189.389304 227.348475 \nL 187.958202 228.991654 \nL 186.223051 230.476975 \nL 184.116852 231.780653 \nL 181.558098 232.86502 \nL 180.078903 233.307867 \nL 178.448027 233.672092 \nL 176.649959 233.945739 \nL 174.66776 234.11419 \nL 172.483003 234.159634 \nL 170.07573 234.060424 \nL 167.424454 233.79033 \nL 164.506212 233.317683 \nL 161.2967 232.604387 \nL 157.770521 231.604837 \nL 153.901601 230.264736 \nL 149.663785 228.519907 \nL 145.031749 226.295149 \nL 139.982267 223.503333 \nL 134.495942 220.044968 \nL 128.559566 215.808579 \nL 122.169164 210.672446 \nL 115.333966 204.508335 \nL 108.081299 197.188096 \nL 100.462505 188.594117 \nL 92.559757 178.634618 \nL 84.493467 167.264442 \nL 76.42955 154.511371 \nL 68.585438 140.506398 \nL 61.233067 125.51424 \nL 54.696587 109.957311 \nL 49.342177 94.42346 \nL 45.557567 79.646087 \nL 43.720419 66.447364 \nL 44.156693 55.64252 \nL 47.094308 47.916552 \nL 52.620494 43.699692 \nL 60.653664 43.07794 \nL 70.939335 45.770714 \nL 83.073946 51.188002 \nL 96.552972 58.5503 \nL 110.832117 67.03278 \nL 139.76184 84.540267 \nL 153.593147 92.581928 \nL 166.621507 99.789843 \nL 178.683116 106.073912 \nL 189.694917 111.438338 \nL 199.636139 115.944374 \nL 208.530424 119.682087 \nL 216.430489 122.751381 \nL 223.406077 125.250508 \nL 229.535081 127.270037 \nL 234.897388 128.890333 \nL 243.628902 131.201805 \nL 250.162998 132.628029 \nL 256.836564 133.779272 \nL 262.306901 134.652409 \nL 263.174884 134.97359 \nL 263.530229 135.375937 \nL 263.496843 135.890348 \nL 263.180753 136.528967 \nL 259.955283 141.656015 \nL 259.433287 143.136455 \nL 259.288675 144.032985 \nL 259.325121 144.820157 \nL 259.549476 145.468877 \nL 259.961194 145.95307 \nL 260.552699 146.250441 \nL 261.309672 146.343239 \nL 262.211269 146.219245 \nL 263.230329 145.872832 \nL 264.333608 145.30618 \nL 265.482232 144.530436 \nL 266.632395 143.566688 \nL 267.736508 142.446599 \nL 268.744838 141.212319 \nL 269.607748 139.915553 \nL 270.278409 138.615603 \nL 270.715941 137.376268 \nL 270.888628 136.261822 \nL 270.776891 135.33241 \nL 270.375626 134.639474 \nL 269.695464 134.221699 \nL 268.762725 134.102198 \nL 267.617999 134.287258 \nL 266.313424 134.766737 \nL 264.909129 135.515913 \nL 263.469143 136.49834 \nL 262.05741 137.669172 \nL 260.734257 138.978431 \nL 259.553646 140.373851 \nL 258.561331 141.803096 \nL 257.793841 143.21528 \nL 257.278218 144.561922 \nL 257.032253 145.797445 \nL 257.064987 146.879444 \nL 257.377285 147.768877 \nL 257.96233 148.430353 \nL 258.805893 148.83264 \nL 259.886368 148.94958 \nL 261.174573 148.761363 \nL 262.633386 148.256244 \nL 264.217404 147.432744 \nL 265.872798 146.301976 \nL 267.537578 144.890031 \nL 269.142653 143.239873 \nL 270.613864 141.412229 \nL 271.875173 139.48492 \nL 272.853135 137.55007 \nL 273.48228 135.70893 \nL 273.711116 134.064576 \nL 273.664551 133.346767 \nL 273.507758 132.713186 \nL 273.240561 132.173314 \nL 272.864478 131.73515 \nL 272.382709 131.40505 \nL 271.800135 131.187576 \nL 271.123219 131.085443 \nL 270.359907 131.09951 \nL 268.612233 131.470702 \nL 266.64323 132.273907 \nL 264.549584 133.459929 \nL 262.430991 134.964145 \nL 260.383182 136.713202 \nL 258.492424 138.630793 \nL 256.83189 140.641932 \nL 255.459912 142.675544 \nL 254.419834 144.665689 \nL 253.741003 146.551676 \nL 253.44039 148.277587 \nL 253.524353 149.791529 \nL 253.99021 151.044914 \nL 254.363317 151.559512 \nL 254.827317 151.992077 \nL 255.379719 152.337374 \nL 256.017542 152.590402 \nL 256.737323 152.746427 \nL 258.406183 152.750307 \nL 260.347183 152.319291 \nL 262.510525 151.433407 \nL 264.834077 150.086611 \nL 267.241947 148.291755 \nL 269.64394 146.085864 \nL 271.936335 143.534887 \nL 274.004814 140.736568 \nL 275.729975 137.819955 \nL 276.995583 134.940181 \nL 277.42319 133.567159 \nL 277.699228 132.267635 \nL 277.815 131.062714 \nL 277.764113 129.972298 \nL 277.542806 129.014524 \nL 277.15014 128.205184 \nL 276.588161 127.557281 \nL 275.861951 127.080662 \nL 274.979568 126.781776 \nL 273.951887 126.663585 \nL 272.79236 126.725603 \nL 271.516667 126.964122 \nL 270.142301 127.372459 \nL 268.688128 127.9414 \nL 265.619705 129.514145 \nL 262.471353 131.575125 \nL 259.395613 134.00574 \nL 256.526917 136.687868 \nL 253.975178 139.511632 \nL 251.823566 142.37916 \nL 250.129664 145.20517 \nL 248.928853 147.915457 \nL 248.238717 150.444393 \nL 248.08689 151.622007 \nL 248.063513 152.732173 \nL 248.167664 153.767905 \nL 248.398017 154.722284 \nL 248.752899 155.588418 \nL 249.230323 156.359388 \nL 249.828012 157.028241 \nL 250.543384 157.587966 \nL 251.373537 158.031509 \nL 252.315197 158.351771 \nL 253.364659 158.541707 \nL 254.517695 158.594348 \nL 255.769462 158.502946 \nL 257.114377 158.261066 \nL 258.545991 157.862795 \nL 260.056848 157.302926 \nL 261.638334 156.577202 \nL 263.280533 155.682637 \nL 264.97208 154.617811 \nL 266.700047 153.383233 \nL 268.449806 151.981754 \nL 270.204986 150.418932 \nL 271.947436 148.703454 \nL 273.657249 146.847464 \nL 275.312893 144.866884 \nL 276.89139 142.781609 \nL 278.36863 140.615586 \nL 279.71977 138.396683 \nL 280.919743 136.156404 \nL 281.943883 133.929366 \nL 282.768653 131.752518 \nL 283.372427 129.664137 \nL 283.736294 127.702635 \nL 283.8449 125.905235 \nL 283.687189 124.30657 \nL 283.257065 122.937326 \nL 282.553882 121.823007 \nL 281.582723 120.982964 \nL 280.354451 120.429715 \nL 278.885507 120.168646 \nL 277.197448 120.198106 \nL 275.316259 120.509868 \nL 273.271498 121.089897 \nL 271.095323 121.919396 \nL 268.821407 122.975926 \nL 266.483912 124.234612 \nL 264.116487 125.669287 \nL 261.751406 127.253502 \nL 259.418824 128.961389 \nL 257.146235 130.768295 \nL 252.8755 134.589293 \nL 250.916354 136.563465 \nL 249.095205 138.556929 \nL 247.423532 140.554784 \nL 245.909975 142.543916 \nL 244.560643 144.512804 \nL 243.379437 146.45127 \nL 242.368404 148.350259 \nL 241.528079 150.20162 \nL 240.85779 151.997889 \nL 240.355972 153.732096 \nL 240.020414 155.397622 \nL 239.848501 156.988007 \nL 239.837396 158.496844 \nL 239.984196 159.91764 \nL 240.286049 161.243714 \nL 240.74024 162.468106 \nL 241.344238 163.58348 \nL 242.09571 164.582058 \nL 242.992515 165.455553 \nL 244.032654 166.19513 \nL 245.214194 166.791354 \nL 246.53517 167.23419 \nL 247.993457 167.513018 \nL 249.586597 167.616675 \nL 251.31161 167.533544 \nL 253.164773 167.251686 \nL 255.141359 166.759042 \nL 257.23535 166.043726 \nL 259.43913 165.094367 \nL 261.743133 163.900594 \nL 264.135497 162.453588 \nL 266.601693 160.746782 \nL 269.124159 158.776668 \nL 271.681998 156.543725 \nL 274.250681 154.053388 \nL 276.801855 151.317088 \nL 279.303302 148.35328 \nL 281.719028 145.188329 \nL 284.009557 141.85721 \nL 286.132533 138.403848 \nL 288.043536 134.88103 \nL 289.697253 131.349686 \nL 291.048917 127.877501 \nL 292.056041 124.536834 \nL 292.680311 121.401905 \nL 292.889599 118.54549 \nL 292.659906 116.035258 \nL 291.977091 113.930147 \nL 290.838188 112.277053 \nL 289.252237 111.108281 \nL 287.240415 110.439998 \nL 284.835464 110.271863 \nL 282.080454 110.587947 \nL 279.026908 111.35867 \nL 275.73253 112.543594 \nL 272.258672 114.09469 \nL 268.667746 115.959675 \nL 265.020837 118.085141 \nL 261.375603 120.419171 \nL 257.784639 122.913371 \nL 254.294281 125.524188 \nL 250.943936 128.213626 \nL 247.765811 130.949433 \nL 244.785047 133.704897 \nL 242.020127 136.458362 \nL 239.483504 139.192578 \nL 237.182351 141.894014 \nL 235.119377 144.552187 \nL 233.293644 147.158996 \nL 231.701372 149.708177 \nL 230.336651 152.19482 \nL 229.192119 154.614986 \nL 228.259514 156.965372 \nL 227.53017 159.243059 \nL 226.995409 161.4453 \nL 226.646874 163.569362 \nL 226.476775 165.612387 \nL 226.478085 167.571276 \nL 226.644673 169.442591 \nL 226.971403 171.222436 \nL 227.454183 172.906386 \nL 228.089992 174.489368 \nL 228.876867 175.965578 \nL 229.813882 177.328346 \nL 230.901091 178.570055 \nL 232.139451 179.681991 \nL 233.530745 180.654207 \nL 235.077456 181.475418 \nL 236.782637 182.132843 \nL 238.649733 182.612083 \nL 240.682392 182.896996 \nL 242.88422 182.969627 \nL 245.258476 182.810138 \nL 247.807743 182.396848 \nL 250.5335 181.706294 \nL 253.43564 180.713511 \nL 256.51188 179.392372 \nL 259.757103 177.716235 \nL 263.162585 175.658804 \nL 266.715151 173.195307 \nL 270.39622 170.304087 \nL 274.180837 166.968611 \nL 278.036678 163.179882 \nL 281.923107 158.939272 \nL 285.790427 154.261672 \nL 289.579344 149.17878 \nL 293.220937 143.742166 \nL 296.63716 138.025813 \nL 299.742177 132.127506 \nL 302.444563 126.168542 \nL 304.650607 120.291177 \nL 306.268557 114.653402 \nL 307.213792 109.420979 \nL 307.41455 104.75702 \nL 306.817683 100.810121 \nL 305.393871 97.702381 \nL 303.141551 95.518981 \nL 300.08896 94.301107 \nL 296.293811 94.043383 \nL 291.840543 94.696349 \nL 286.835305 96.173478 \nL 281.39936 98.361508 \nL 275.661564 101.13223 \nL 269.750939 104.354035 \nL 263.789995 107.90159 \nL 257.889454 111.662858 \nL 252.14458 115.543193 \nL 246.633214 119.4668 \nL 241.415276 123.376077 \nL 236.533468 127.229692 \nL 232.014823 130.999895 \nL 227.872734 134.669684 \nL 224.109252 138.230097 \nL 220.717352 141.67791 \nL 217.683102 145.013719 \nL 214.987572 148.240527 \nL 212.608499 151.362666 \nL 210.521663 154.385054 \nL 208.701999 157.312737 \nL 207.12446 160.150584 \nL 205.764674 162.90313 \nL 204.599408 165.574518 \nL 203.606894 168.168486 \nL 202.061444 173.137152 \nL 200.98872 177.831916 \nL 200.277045 182.271415 \nL 199.840327 186.471349 \nL 199.61456 190.445359 \nL 199.575723 196.009065 \nL 199.817915 201.127927 \nL 200.30181 205.833337 \nL 201.029164 210.151521 \nL 201.665484 212.825314 \nL 202.443287 215.339835 \nL 203.387202 217.696646 \nL 204.528921 219.894219 \nL 205.908201 221.926764 \nL 207.574224 223.782451 \nL 209.587305 225.440842 \nL 210.746386 226.186408 \nL 212.020951 226.869094 \nL 213.422628 227.481956 \nL 214.964176 228.016454 \nL 216.659547 228.462141 \nL 218.523964 228.806271 \nL 220.573976 229.033354 \nL 222.827498 229.124616 \nL 225.303813 229.057381 \nL 228.023534 228.804347 \nL 231.008506 228.332772 \nL 234.281611 227.603559 \nL 237.866441 226.570274 \nL 241.786832 225.178114 \nL 246.06614 223.362919 \nL 250.726246 221.050325 \nL 255.786193 218.155225 \nL 261.260325 214.581834 \nL 267.155854 210.224675 \nL 273.469761 204.971041 \nL 280.184858 198.705523 \nL 287.265028 191.31742 \nL 294.64964 182.711791 \nL 302.247347 172.824914 \nL 309.929638 161.64441 \nL 317.524949 149.233515 \nL 324.814528 135.75741 \nL 331.531718 121.507536 \nL 337.366608 106.917291 \nL 341.978361 92.56045 \nL 345.016627 79.12337 \nL 346.152292 67.34512 \nL 345.115383 57.927441 \nL 341.734882 51.427618 \nL 335.972542 48.158874 \nL 327.941966 48.127626 \nL 317.906036 51.030436 \nL 306.251094 56.314769 \nL 293.442403 63.285723 \nL 279.970914 71.225983 \nL 252.842151 87.596081 \nL 239.907532 95.183256 \nL 227.727819 102.060434 \nL 216.447421 108.145239 \nL 206.139513 113.435631 \nL 196.821771 117.979025 \nL 188.471709 121.848519 \nL 181.039973 125.126564 \nL 168.660795 130.228934 \nL 159.092313 133.851766 \nL 151.75096 136.419558 \nL 143.828978 138.917255 \nL 138.473302 140.326426 \nL 134.781049 141.01138 \nL 132.17023 141.193683 \nL 130.283832 141.024111 \nL 128.914622 140.620215 \nL 127.949968 140.084428 \nL 127.332128 139.510959 \nL 127.029968 138.985962 \nL 127.019246 138.583717 \nL 127.269898 138.361351 \nL 127.739232 138.354126 \nL 128.370311 138.572697 \nL 129.343662 139.188127 \nL 130.304282 140.086751 \nL 131.082267 141.130056 \nL 131.540781 142.156657 \nL 131.621316 142.81826 \nL 131.458972 143.31846 \nL 131.060126 143.60699 \nL 130.451112 143.648364 \nL 129.677123 143.425665 \nL 128.80014 142.943898 \nL 127.895548 142.232513 \nL 127.047196 141.346015 \nL 126.340427 140.36175 \nL 125.853486 139.374149 \nL 125.647914 138.48515 \nL 125.759469 137.791907 \nL 126.013108 137.47881 \nL 126.402165 137.305434 \nL 126.912104 137.281828 \nL 127.857035 137.531409 \nL 128.936657 138.102077 \nL 130.046973 138.941388 \nL 131.081547 139.972755 \nL 131.942698 141.104544 \nL 132.550089 142.238784 \nL 132.846448 143.278431 \nL 132.800497 144.133246 \nL 132.576431 144.561003 \nL 132.203093 144.851839 \nL 131.691046 144.990113 \nL 131.055917 144.964678 \nL 130.318234 144.769627 \nL 129.075654 144.161065 \nL 127.762078 143.20192 \nL 126.495681 141.95896 \nL 125.402244 140.536386 \nL 124.603111 139.069808 \nL 124.285437 138.143451 \nL 124.166633 137.31219 \nL 124.259853 136.619076 \nL 124.56792 136.101014 \nL 125.082614 135.786173 \nL 125.784727 135.692098 \nL 126.645006 135.824781 \nL 127.625894 136.178682 \nL 128.68383 136.737667 \nL 130.312327 137.903733 \nL 131.850061 139.361146 \nL 133.15293 140.978456 \nL 134.103996 142.618095 \nL 134.5002 143.657069 \nL 134.686937 144.608734 \nL 134.655829 145.438157 \nL 134.405493 146.113427 \nL 133.941311 146.606189 \nL 133.275268 146.892268 \nL 132.42587 146.9525 \nL 131.418109 146.77377 \nL 130.28346 146.350277 \nL 129.059784 145.684921 \nL 127.790983 144.790688 \nL 126.526323 143.691866 \nL 125.319245 142.424789 \nL 124.225481 141.037803 \nL 123.300545 139.590142 \nL 122.596506 138.149544 \nL 122.158382 136.788504 \nL 122.020318 135.579421 \nL 122.202172 134.589131 \nL 122.706932 133.873491 \nL 123.51944 133.472829 \nL 124.606705 133.408998 \nL 125.919917 133.684355 \nL 127.397923 134.28279 \nL 128.971606 135.172351 \nL 130.568711 136.308966 \nL 132.11841 137.640443 \nL 133.555147 139.110238 \nL 134.821472 140.660517 \nL 135.869792 142.234436 \nL 136.66309 143.777507 \nL 137.174876 145.238349 \nL 137.38863 146.568968 \nL 137.297028 147.724805 \nL 136.901166 148.664727 \nL 136.209968 149.351246 \nL 135.239934 149.751023 \nL 134.0152 149.835831 \nL 132.5679 149.584029 \nL 130.938758 148.982632 \nL 129.177663 148.029861 \nL 127.344078 146.738072 \nL 125.506831 145.136658 \nL 123.74309 143.274465 \nL 122.136081 141.220999 \nL 120.771345 139.06569 \nL 119.731479 136.914507 \nL 119.089671 134.883668 \nL 118.90257 133.090616 \nL 118.991029 132.317698 \nL 119.203547 131.643424 \nL 119.539806 131.078091 \nL 119.997516 130.630174 \nL 120.572415 130.306142 \nL 121.258332 130.110317 \nL 122.047281 130.044835 \nL 122.929641 130.10967 \nL 124.929164 130.619954 \nL 127.155794 131.602603 \nL 129.498363 132.995682 \nL 131.844655 134.722095 \nL 134.089248 136.697544 \nL 136.139404 138.83694 \nL 137.918553 141.058788 \nL 139.367555 143.28751 \nL 140.44414 145.454121 \nL 141.1212 147.495835 \nL 141.384529 149.355076 \nL 141.23056 150.978266 \nL 140.998407 151.685447 \nL 140.664483 152.314841 \nL 140.230613 152.860491 \nL 139.699052 153.316585 \nL 139.072507 153.677473 \nL 138.354145 153.93769 \nL 137.547638 154.092005 \nL 136.657187 154.13549 \nL 135.687601 154.063608 \nL 133.533563 153.55815 \nL 131.138303 152.551453 \nL 128.56846 151.034234 \nL 125.906527 149.01816 \nL 123.25191 146.54246 \nL 120.72039 143.680012 \nL 118.440962 140.541322 \nL 116.54956 137.274407 \nL 115.791388 135.648001 \nL 115.179205 134.058628 \nL 114.727068 132.531453 \nL 114.447141 131.091579 \nL 114.349256 129.763334 \nL 114.440475 128.569518 \nL 114.724748 127.53068 \nL 115.202651 126.664444 \nL 115.871211 125.984954 \nL 116.723884 125.502463 \nL 117.750632 125.223089 \nL 118.93814 125.148774 \nL 120.270164 125.27739 \nL 121.727969 125.603047 \nL 123.290855 126.116522 \nL 124.936724 126.80579 \nL 126.642678 127.656632 \nL 130.142765 129.778737 \nL 133.613055 132.347397 \nL 136.894554 135.226507 \nL 139.856312 138.289929 \nL 142.39902 141.426781 \nL 144.454075 144.542341 \nL 145.979638 147.556245 \nL 146.536764 149.003089 \nL 146.95515 150.399206 \nL 147.234616 151.737092 \nL 147.375618 153.009487 \nL 147.379137 154.209286 \nL 147.246547 155.329485 \nL 146.979547 156.363055 \nL 146.580083 157.302934 \nL 146.050316 158.141947 \nL 145.392603 158.872777 \nL 144.609511 159.487934 \nL 143.70385 159.979786 \nL 142.678732 160.340537 \nL 141.537642 160.5623 \nL 140.284541 160.637143 \nL 138.923998 160.557211 \nL 137.461317 160.314855 \nL 135.902712 159.902816 \nL 134.255463 159.314439 \nL 132.528107 158.543979 \nL 130.730638 157.586903 \nL 128.874677 156.440289 \nL 126.97366 155.103255 \nL 125.042994 153.577433 \nL 123.100174 151.867478 \nL 121.164876 149.981559 \nL 119.258923 147.931863 \nL 117.40623 145.735009 \nL 115.632616 143.41239 \nL 113.965492 140.990327 \nL 112.433408 138.50005 \nL 111.065472 135.977411 \nL 109.890643 133.462311 \nL 108.936832 130.997793 \nL 108.229972 128.628873 \nL 107.792978 126.401052 \nL 107.644737 124.358632 \nL 107.799112 122.542944 \nL 108.264101 120.990589 \nL 109.041184 119.731843 \nL 110.124931 118.789395 \nL 111.502921 118.177454 \nL 113.155986 117.901417 \nL 115.058785 117.958006 \nL 117.180654 118.335922 \nL 119.486712 119.016935 \nL 121.939115 119.977229 \nL 124.49838 121.188924 \nL 127.12469 122.621633 \nL 129.779117 124.243913 \nL 132.42468 126.024498 \nL 135.027207 127.933342 \nL 137.555952 129.942327 \nL 139.984015 132.025781 \nL 142.288534 134.160676 \nL 144.450689 136.326717 \nL 146.45555 138.506203 \nL 148.291819 140.68385 \nL 149.951466 142.84653 \nL 151.42932 144.982948 \nL 152.72265 147.083353 \nL 153.83073 149.139253 \nL 154.754415 151.143132 \nL 155.495768 153.088202 \nL 156.057705 154.968189 \nL 156.443683 156.777137 \nL 156.657453 158.509243 \nL 156.702827 160.158711 \nL 156.583518 161.71961 \nL 156.303003 163.185762 \nL 155.864431 164.550641 \nL 155.270568 165.807267 \nL 154.523766 166.948119 \nL 153.625995 167.965045 \nL 152.578857 168.84921 \nL 151.383676 169.591009 \nL 150.041586 170.180041 \nL 148.553674 170.605075 \nL 146.921135 170.854043 \nL 145.14547 170.914088 \nL 143.228719 170.771635 \nL 141.173725 170.412543 \nL 138.984447 169.822311 \nL 136.666305 168.986387 \nL 134.226573 167.890602 \nL 131.674781 166.52169 \nL 129.02319 164.867993 \nL 126.287227 162.920328 \nL 123.485978 160.672977 \nL 120.642615 158.124851 \nL 117.784777 155.280801 \nL 114.944856 152.152978 \nL 112.160107 148.762188 \nL 109.47259 145.139135 \nL 106.928816 141.325388 \nL 104.579052 137.373911 \nL 102.476269 133.348954 \nL 100.67466 129.325128 \nL 99.227773 125.385531 \nL 98.186262 121.618876 \nL 97.595386 118.115657 \nL 97.492414 114.963632 \nL 97.90409 112.242844 \nL 98.844472 110.020861 \nL 100.313325 108.348553 \nL 102.295294 107.257049 \nL 104.759973 106.756304 \nL 107.662981 106.835325 \nL 110.947934 107.464107 \nL 114.549112 108.596934 \nL 118.394655 110.17664 \nL 122.409936 112.139179 \nL 126.52081 114.418024 \nL 130.656525 116.948041 \nL 134.752091 119.668395 \nL 138.750011 122.524614 \nL 142.601351 125.469658 \nL 146.266182 128.464202 \nL 149.713516 131.47637 \nL 152.920815 134.481032 \nL 155.873204 137.458898 \nL 158.562511 140.395525 \nL 160.986218 143.280371 \nL 163.146394 146.105904 \nL 165.048685 148.866857 \nL 166.701377 151.559588 \nL 168.114564 154.181595 \nL 169.299442 156.731117 \nL 170.267696 159.206833 \nL 171.031014 161.607639 \nL 171.600691 163.932471 \nL 171.987325 166.180187 \nL 172.20059 168.349462 \nL 172.24907 170.438685 \nL 172.140155 172.445909 \nL 171.879966 174.36876 \nL 171.473333 176.204377 \nL 170.923778 177.949316 \nL 170.233549 179.59949 \nL 169.403637 181.150041 \nL 168.43383 182.595243 \nL 167.322777 183.928371 \nL 166.068047 185.141581 \nL 164.666225 186.22575 \nL 163.112992 187.170284 \nL 161.403254 187.962979 \nL 159.531267 188.589795 \nL 157.490806 189.034698 \nL 155.27536 189.279446 \nL 152.878382 189.303417 \nL 150.29359 189.083501 \nL 147.515336 188.593981 \nL 144.539064 187.806579 \nL 141.361869 186.690601 \nL 137.983161 185.213267 \nL 134.405462 183.3403 \nL 130.635347 181.036871 \nL 126.684511 178.268974 \nL 122.571006 175.005259 \nL 118.320543 171.219552 \nL 113.967888 166.893972 \nL 109.558236 162.022717 \nL 105.148431 156.616466 \nL 100.807886 150.70707 \nL 96.619009 144.352277 \nL 92.67681 137.639754 \nL 89.087476 130.689725 \nL 85.965656 123.655229 \nL 83.430201 116.719046 \nL 81.598383 110.086539 \nL 80.578747 103.974213 \nL 80.463059 98.594418 \nL 81.318099 94.137704 \nL 83.178306 90.755152 \nL 86.040383 88.543517 \nL 89.860813 87.535986 \nL 94.556998 87.70041 \nL 100.012044 88.945446 \nL 106.082694 91.133425 \nL 112.609355 94.097351 \nL 119.426893 97.658948 \nL 126.374799 101.644752 \nL 133.305679 105.898391 \nL 140.091389 110.288049 \nL 146.626622 114.709498 \nL 152.830134 119.085566 \nL 158.644078 123.363074 \nL 164.031976 127.508717 \nL 168.975889 131.504503 \nL 173.473218 135.343566 \nL 177.533501 139.026587 \nL 181.175428 142.558953 \nL 184.424199 145.948628 \nL 187.309293 149.204701 \nL 189.862634 152.336396 \nL 192.117159 155.352478 \nL 194.105714 158.26093 \nL 195.86025 161.06884 \nL 198.787461 166.406707 \nL 201.119955 171.40514 \nL 203.046103 176.091837 \nL 208.617915 190.255342 \nL 210.311103 193.681706 \nL 212.204363 196.821856 \nL 214.374195 199.656337 \nL 215.587085 200.949585 \nL 216.898756 202.153281 \nL 218.319804 203.260788 \nL 219.861321 204.264064 \nL 221.534956 205.153438 \nL 223.352965 205.917323 \nL 225.32822 206.541939 \nL 227.474216 207.010938 \nL 229.805018 207.305041 \nL 232.335166 207.401618 \nL 235.079523 207.274232 \nL 238.053034 206.892185 \nL 241.270395 206.220077 \nL 244.745584 205.217409 \nL 248.49123 203.838315 \nL 252.517801 202.031473 \nL 256.83253 199.740349 \nL 261.438084 196.903906 \nL 266.330894 193.457974 \nL 271.499151 189.33755 \nL 276.920417 184.480293 \nL 282.558917 178.831464 \nL 288.362545 172.350626 \nL 294.259795 165.020154 \nL 300.156878 156.855469 \nL 305.935422 147.91641 \nL 311.451372 138.31864 \nL 316.53578 128.243231 \nL 320.998291 117.941855 \nL 324.634107 107.734425 \nL 327.234871 97.996459 \nL 328.603338 89.134072 \nL 328.571082 81.547527 \nL 327.01722 75.58698 \nL 323.885429 71.507943 \nL 319.195901 69.435849 \nL 313.049539 69.348829 \nL 305.622517 71.083633 \nL 297.151702 74.363915 \nL 287.913092 78.843725 \nL 278.197217 84.155697 \nL 268.285558 89.953607 \nL 248.847082 101.892435 \nL 231.101575 113.093184 \nL 215.827094 122.921523 \nL 203.210893 131.322234 \nL 193.065525 138.48509 \nL 185.01661 144.646389 \nL 178.629363 150.004476 \nL 173.480513 154.698236 \nL 163.691236 163.971964 \nL 160.280446 166.738679 \nL 158.577411 167.910285 \nL 156.8491 168.933176 \nL 155.078341 169.800084 \nL 153.250128 170.502508 \nL 151.351492 171.030756 \nL 149.371422 171.373977 \nL 147.300838 171.520225 \nL 145.132613 171.456564 \nL 142.861655 171.169234 \nL 140.485048 170.643845 \nL 138.002262 169.86571 \nL 135.415404 168.820252 \nL 132.729539 167.493557 \nL 129.953063 165.873055 \nL 127.098098 163.948409 \nL 124.180903 161.71253 \nL 121.222322 159.162796 \nL 118.248121 156.302432 \nL 115.289312 153.141932 \nL 112.382278 149.700586 \nL 109.568745 146.007847 \nL 106.89546 142.104493 \nL 104.413546 138.04336 \nL 102.177445 133.889404 \nL 100.243451 129.718956 \nL 98.667774 125.617948 \nL 97.50422 121.679057 \nL 96.801553 117.997797 \nL 96.600667 114.667699 \nL 96.931868 111.775067 \nL 97.812431 109.393646 \nL 99.244728 107.580009 \nL 101.215179 106.369964 \nL 103.694175 105.776736 \nL 106.637037 105.790982 \nL 109.986017 106.382678 \nL 113.673083 107.504579 \nL 117.623282 109.096725 \nL 121.758376 111.091449 \nL 126.000331 113.418203 \nL 130.274505 116.007754 \nL 134.512233 118.795505 \nL 138.652737 121.723682 \nL 142.644292 124.742547 \nL 146.444745 127.810717 \nL 150.021461 130.89486 \nL 153.350791 133.968919 \nL 156.417243 137.013109 \nL 159.212448 140.012827 \nL 161.734035 142.957615 \nL 163.984498 145.840189 \nL 165.970101 148.655647 \nL 167.699898 151.40078 \nL 169.184846 154.073548 \nL 170.437042 156.672655 \nL 171.4691 159.19726 \nL 172.293621 161.646733 \nL 172.922792 164.020495 \nL 173.368062 166.317866 \nL 173.639911 168.538011 \nL 173.747677 170.679816 \nL 173.699449 172.741859 \nL 173.502 174.722329 \nL 173.160748 176.618961 \nL 172.679759 178.428964 \nL 172.061766 180.148952 \nL 171.308189 181.774849 \nL 170.419196 183.301794 \nL 169.393741 184.724011 \nL 168.22964 186.034699 \nL 166.923631 187.225869 \nL 165.471462 188.288194 \nL 163.867983 189.210815 \nL 162.107256 189.981159 \nL 160.182687 190.584731 \nL 158.087191 191.004888 \nL 155.813381 191.222651 \nL 153.353824 191.216482 \nL 150.701339 190.96214 \nL 147.849388 190.432565 \nL 144.79254 189.59787 \nL 141.527049 188.425464 \nL 138.051552 186.880384 \nL 134.367925 184.925895 \nL 130.482269 182.524459 \nL 126.406062 179.639154 \nL 122.157487 176.235667 \nL 117.762856 172.284965 \nL 113.258139 167.766692 \nL 108.690472 162.673317 \nL 104.11953 157.01494 \nL 99.618597 150.824547 \nL 95.275034 144.163235 \nL 91.189956 137.124773 \nL 87.476684 129.838569 \nL 84.257784 122.469973 \nL 81.660409 115.216846 \nL 79.809922 108.301477 \nL 78.821967 101.957603 \nL 78.793577 96.413163 \nL 79.794112 91.870501 \nL 81.857276 88.486723 \nL 84.975358 86.357597 \nL 89.096871 85.508109 \nL 94.128269 85.891658 \nL 99.939714 87.398248 \nL 106.374276 89.86994 \nL 113.259247 93.120456 \nL 120.418033 96.955247 \nL 127.681141 101.188871 \nL 134.895027 105.657567 \nL 141.928223 110.226336 \nL 148.674639 114.791106 \nL 155.054323 119.277162 \nL 161.012222 123.635138 \nL 166.515648 127.836084 \nL 171.550968 131.866369 \nL 176.120051 135.723116 \nL 180.23681 139.410434 \nL 183.924032 142.936545 \nL 187.210645 146.311677 \nL 190.12944 149.546629 \nL 192.715243 152.65191 \nL 195.003488 155.637187 \nL 197.029171 158.511055 \nL 198.826081 161.280969 \nL 201.859878 166.533161 \nL 204.336388 171.43249 \nL 208.371726 180.26402 \nL 211.175497 186.079401 \nL 213.157396 189.56778 \nL 215.34301 192.728403 \nL 216.540418 194.177728 \nL 217.822285 195.533654 \nL 219.199686 196.790289 \nL 220.683856 197.940476 \nL 222.286275 198.975612 \nL 224.018736 199.885414 \nL 225.89339 200.657664 \nL 227.922757 201.277944 \nL 230.119701 201.729307 \nL 232.49737 201.991946 \nL 235.069055 202.042838 \nL 237.848011 201.855386 \nL 240.847174 201.399071 \nL 244.078771 200.639143 \nL 247.553801 199.536435 \nL 251.281355 198.047311 \nL 255.267753 196.123869 \nL 259.515445 193.714524 \nL 264.021666 190.765077 \nL 268.776822 187.220525 \nL 273.762572 183.027714 \nL 278.949656 178.139133 \nL 284.295513 172.518029 \nL 289.741794 166.144847 \nL 295.211998 159.025066 \nL 300.609477 151.19802 \nL 305.816299 142.745988 \nL 310.69339 133.802376 \nL 315.082669 124.557189 \nL 318.811629 115.257642 \nL 321.700928 106.201693 \nL 323.575049 97.722753 \nL 324.2756 90.165158 \nL 323.676194 83.852071 \nL 321.697114 79.050017 \nL 318.317371 75.936422 \nL 313.58184 74.576964 \nL 307.601575 74.918441 \nL 300.546716 76.799339 \nL 292.632654 79.975718 \nL 284.101746 84.156429 \nL 275.203536 89.039734 \nL 266.176459 94.34449 \nL 257.233401 99.831422 \nL 240.271596 110.656893 \nL 225.27214 120.621515 \nL 212.623622 129.441847 \nL 207.185758 133.430528 \nL 202.305901 137.162556 \nL 197.945755 140.660347 \nL 194.060782 143.946195 \nL 190.603131 147.040728 \nL 187.523872 149.962115 \nL 182.308671 155.344079 \nL 178.052443 160.182495 \nL 169.63698 170.169932 \nL 166.543036 173.331215 \nL 164.962345 174.721214 \nL 163.334704 175.976266 \nL 161.643821 177.088824 \nL 159.874851 178.049943 \nL 158.014272 178.849216 \nL 156.049804 179.47467 \nL 153.970375 179.912715 \nL 151.766148 180.148093 \nL 149.428599 180.163827 \nL 146.950673 179.941265 \nL 144.327005 179.460152 \nL 141.554221 178.698832 \nL 138.631343 177.634559 \nL 135.560247 176.244007 \nL 132.346253 174.503945 \nL 128.998774 172.392213 \nL 125.532059 169.888993 \nL 121.965988 166.978405 \nL 118.326889 163.65046 \nL 114.648315 159.903394 \nL 110.971751 155.74623 \nL 107.347074 151.201551 \nL 103.832755 146.308205 \nL 100.495588 141.123657 \nL 97.409801 135.725626 \nL 94.655489 130.212502 \nL 92.316173 124.702109 \nL 90.475506 119.328441 \nL 89.213196 114.23607 \nL 88.600285 109.572417 \nL 88.694196 105.478369 \nL 89.533903 102.078066 \nL 91.135899 99.469198 \nL 93.491434 97.715231 \nL 96.565514 96.840621 \nL 100.297909 96.830086 \nL 104.606198 97.631819 \nL 109.390515 99.164244 \nL 114.539527 101.325026 \nL 119.936847 104.00095 \nL 125.467333 107.077273 \nL 131.022546 110.445444 \nL 136.505031 114.008555 \nL 141.831203 117.684521 \nL 146.932873 121.40713 \nL 151.757526 125.125432 \nL 156.26766 128.802182 \nL 160.439419 132.411645 \nL 164.260835 135.937262 \nL 167.729861 139.369486 \nL 170.852415 142.703822 \nL 173.640508 145.939284 \nL 176.110582 149.077157 \nL 178.282051 152.120071 \nL 180.17609 155.07136 \nL 181.814647 157.934634 \nL 183.219662 160.713492 \nL 184.412474 163.411371 \nL 185.413386 166.031446 \nL 186.241361 168.576602 \nL 186.913827 171.049434 \nL 187.853664 175.787155 \nL 188.33894 180.260276 \nL 188.4496 184.481101 \nL 188.241677 188.459094 \nL 187.750054 192.20096 \nL 186.991129 195.710451 \nL 185.965026 198.987726 \nL 184.657181 202.028325 \nL 183.03927 204.821576 \nL 182.101508 206.119875 \nL 181.069496 207.34833 \nL 179.935861 208.502687 \nL 178.692335 209.577683 \nL 177.329726 210.566867 \nL 175.83789 211.462384 \nL 174.205709 212.254726 \nL 172.421072 212.932438 \nL 170.470872 213.481777 \nL 168.341019 213.886324 \nL 166.016486 214.12654 \nL 163.481387 214.17927 \nL 160.719127 214.01719 \nL 157.712609 213.608227 \nL 154.444554 212.914955 \nL 150.897941 211.894013 \nL 147.056625 210.495585 \nL 142.906165 208.663065 \nL 138.4349 206.332975 \nL 133.635375 203.435369 \nL 128.506116 199.894919 \nL 123.05386 195.63297 \nL 117.296259 190.570962 \nL 111.265062 184.635586 \nL 105.00973 177.76611 \nL 98.60135 169.924129 \nL 92.136541 161.105823 \nL 85.74093 151.356334 \nL 79.571479 140.785073 \nL 73.816797 129.579882 \nL 68.69434 118.016723 \nL 64.443354 106.460763 \nL 61.312791 95.354437 \nL 59.54384 85.188944 \nL 59.348057 76.459087 \nL 60.883084 69.605516 \nL 64.229887 64.954202 \nL 69.375821 62.666626 \nL 76.207811 62.714127 \nL 84.518285 64.88478 \nL 94.02375 68.821875 \nL 104.392769 74.083793 \nL 115.278029 80.209599 \nL 126.346584 86.775168 \nL 208.377309 136.616004 \nL 216.925369 142.160214 \nL 223.684596 146.799793 \nL 237.548054 156.657227 \nL 241.134723 158.766184 \nL 242.868846 159.60153 \nL 244.591255 160.286237 \nL 246.318865 160.815634 \nL 248.065719 161.184274 \nL 249.84314 161.386081 \nL 251.659853 161.414546 \nL 253.522082 161.262946 \nL 255.433567 160.924558 \nL 257.395582 160.392949 \nL 259.406915 159.662306 \nL 261.463782 158.727789 \nL 263.559778 157.586001 \nL 265.685765 156.235453 \nL 267.829797 154.677132 \nL 269.97706 152.915081 \nL 272.109817 150.956974 \nL 274.20746 148.814769 \nL 276.246609 146.505187 \nL 278.201319 144.0502 \nL 280.043427 141.477303 \nL 281.743042 138.819564 \nL 283.269182 136.115438 \nL 284.590598 133.40819 \nL 285.676733 130.744979 \nL 286.498811 128.175553 \nL 287.031028 125.750631 \nL 287.251758 123.519976 \nL 287.144722 121.530325 \nL 286.699993 119.823314 \nL 285.914835 118.433596 \nL 284.794214 117.387278 \nL 283.350953 116.700835 \nL 281.605501 116.380649 \nL 279.585345 116.423164 \nL 277.324025 116.815631 \nL 274.859899 117.537355 \nL 272.234688 118.561326 \nL 269.491962 119.856017 \nL 266.675623 121.387209 \nL 263.828514 123.11968 \nL 260.991202 125.018669 \nL 258.200997 127.05104 \nL 255.491263 129.186079 \nL 252.890961 131.39603 \nL 250.424473 133.656298 \nL 248.111609 135.945483 \nL 245.967823 138.245193 \nL 244.00453 140.53979 \nL 242.229536 142.816048 \nL 240.647516 145.062803 \nL 239.260514 147.270566 \nL 238.068434 149.431229 \nL 237.069514 151.53771 \nL 236.260759 153.583713 \nL 235.638328 155.563476 \nL 235.197872 157.471562 \nL 234.934827 159.302687 \nL 234.844639 161.051556 \nL 234.922968 162.712734 \nL 235.16582 164.280526 \nL 235.569656 165.748848 \nL 236.131445 167.111148 \nL 236.848708 168.360294 \nL 237.719504 169.488476 \nL 238.742401 170.487131 \nL 239.916403 171.346857 \nL 241.240868 172.057348 \nL 242.715378 172.60733 \nL 244.339591 172.984539 \nL 246.113049 173.175701 \nL 248.034949 173.166578 \nL 250.103887 172.942033 \nL 252.317551 172.486203 \nL 254.67237 171.782723 \nL 257.16311 170.815094 \nL 259.782445 169.567131 \nL 262.520451 168.023617 \nL 265.364102 166.171108 \nL 268.29672 163.99894 \nL 271.29743 161.500426 \nL 274.340626 158.674254 \nL 277.395536 155.526025 \nL 280.425902 152.069898 \nL 283.389814 148.330236 \nL 286.239819 144.343061 \nL 288.923378 140.157177 \nL 291.38369 135.834746 \nL 293.561026 131.450977 \nL 295.394542 127.092873 \nL 296.824565 122.85668 \nL 297.79533 118.844197 \nL 298.257999 115.157857 \nL 298.173718 111.895121 \nL 297.51654 109.142405 \nL 296.275825 106.969557 \nL 294.45786 105.425133 \nL 292.086486 104.533504 \nL 289.202525 104.293973 \nL 285.862106 104.681981 \nL 282.133881 105.652427 \nL 278.095557 107.144295 \nL 273.829959 109.086173 \nL 269.421041 111.401848 \nL 264.950235 114.015261 \nL 260.49335 116.854605 \nL 256.11819 119.855149 \nL 251.883025 122.960872 \nL 247.835795 126.1251 \nL 244.01402 129.310253 \nL 240.445246 132.487075 \nL 237.147888 135.633517 \nL 234.132339 138.733522 \nL 231.402169 141.775814 \nL 228.9554 144.752778 \nL 226.785699 147.659536 \nL 224.883491 150.493145 \nL 223.236956 153.252005 \nL 221.832868 155.935375 \nL 220.657323 158.543009 \nL 219.69631 161.074924 \nL 218.936184 163.531213 \nL 218.364016 165.911894 \nL 217.967866 168.216838 \nL 217.736962 170.445697 \nL 217.661837 172.597833 \nL 217.734401 174.672275 \nL 217.947979 176.667679 \nL 218.297316 178.582267 \nL 218.778566 180.413748 \nL 219.389263 182.159282 \nL 220.128277 183.815363 \nL 220.995764 185.377751 \nL 221.993112 186.841342 \nL 223.122891 188.200059 \nL 224.388776 189.446687 \nL 225.795486 190.572723 \nL 227.348705 191.568196 \nL 229.054991 192.421446 \nL 230.92167 193.118926 \nL 232.956702 193.644944 \nL 235.168524 193.98143 \nL 237.565835 194.107684 \nL 240.157349 194.000147 \nL 242.951459 193.632197 \nL 245.95582 192.974023 \nL 249.176847 191.992596 \nL 252.619059 190.6518 \nL 256.284303 188.912788 \nL 260.170796 186.734698 \nL 264.271999 184.075717 \nL 268.575306 180.894776 \nL 273.060527 177.15388 \nL 277.698258 172.821238 \nL 282.44812 167.875276 \nL 287.257036 162.309545 \nL 292.057694 156.138391 \nL 296.767369 149.403087 \nL 301.287485 142.177872 \nL 305.504191 134.575005 \nL 309.290392 126.74772 \nL 312.509528 118.889724 \nL 315.021355 111.229918 \nL 316.689745 104.021459 \nL 317.392177 97.524988 \nL 317.030137 91.987254 \nL 315.539317 87.617543 \nL 312.898145 84.565677 \nL 309.133144 82.905691 \nL 304.319967 82.628598 \nL 298.579533 83.646103 \nL 292.069561 85.804433 \nL 284.972717 88.905485 \nL 277.482972 92.730797 \nL 269.792249 97.064086 \nL 262.078884 101.708864 \nL 254.499061 106.499652 \nL 247.181597 111.306761 \nL 240.225945 116.035802 \nL 233.702783 120.623744 \nL 227.656495 125.033195 \nL 222.108726 129.246234 \nL 217.062432 133.258708 \nL 212.505912 137.075434 \nL 208.416541 140.706512 \nL 204.764038 144.164605 \nL 201.513185 147.463107 \nL 198.626023 150.614978 \nL 196.063556 153.63209 \nL 193.787027 156.524876 \nL 189.943133 161.971676 \nL 186.816907 167.009559 \nL 182.956805 173.870321 \nL 179.519736 179.936201 \nL 177.208467 183.534858 \nL 174.735083 186.75684 \nL 173.403031 188.216772 \nL 171.99014 189.568707 \nL 170.483916 190.805681 \nL 168.872079 191.919323 \nL 167.142477 192.899687 \nL 165.283013 193.735041 \nL 163.281622 194.411642 \nL 161.126288 194.913484 \nL 158.805091 195.222042 \nL 156.30635 195.316018 \nL 153.618788 195.171086 \nL 150.731817 194.759684 \nL 147.635907 194.050878 \nL 144.323077 193.010308 \nL 140.787523 191.600346 \nL 137.026408 189.780454 \nL 133.040829 187.507932 \nL 128.836991 184.739081 \nL 124.427573 181.430972 \nL 119.833307 177.543939 \nL 115.084703 173.044958 \nL 110.223907 167.911919 \nL 105.306483 162.138908 \nL 100.403073 155.742282 \nL 95.600572 148.767217 \nL 91.002567 141.294115 \nL 86.72862 133.443896 \nL 82.912019 125.38091 \nL 79.695591 117.311984 \nL 77.225362 109.480257 \nL 75.642102 102.152764 \nL 75.0711 95.601916 \nL 75.611066 90.082086 \nL 77.32345 85.804416 \nL 80.223736 82.913877 \nL 84.276346 81.473067 \nL 89.39433 81.456354 \nL 95.444286 82.755852 \nL 102.256092 85.198066 \nL 109.636018 88.567514 \nL 117.381283 92.632561 \nL 125.293972 97.168738 \nL 133.192732 101.976188 \nL 140.921053 106.89006 \nL 148.351999 111.784053 \nL 155.389577 116.568713 \nL 161.967527 121.186541 \nL 168.046313 125.605472 \nL 173.609146 129.812333 \nL 178.657654 133.806911 \nL 183.207671 137.597155 \nL 187.285416 141.195513 \nL 190.924219 144.61635 \nL 194.161815 147.874227 \nL 197.038202 150.982869 \nL 199.593998 153.954574 \nL 201.869234 156.799986 \nL 205.730389 162.146082 \nL 208.904558 167.074105 \nL 216.557892 179.583168 \nL 219.065206 182.995649 \nL 220.388143 184.549298 \nL 221.776491 185.994908 \nL 223.2438 187.326352 \nL 224.803106 188.536192 \nL 226.467065 189.61557 \nL 228.248042 190.553998 \nL 230.158164 191.339179 \nL 232.209347 191.956787 \nL 234.413268 192.390254 \nL 236.781287 192.620539 \nL 239.324299 192.625917 \nL 242.052527 192.381782 \nL 244.975212 191.860529 \nL 248.100209 191.031494 \nL 251.433448 189.861062 \nL 254.978287 188.312949 \nL 258.734674 186.348784 \nL 262.698165 183.929027 \nL 266.858751 181.014405 \nL 271.199501 177.56792 \nL 275.695087 173.557573 \nL 280.310161 168.959887 \nL 284.997747 163.764234 \nL 289.697724 157.977932 \nL 294.335636 151.631878 \nL 298.822055 144.786255 \nL 303.052789 137.535587 \nL 306.91035 130.012294 \nL 310.266906 122.38737 \nL 312.989083 114.867183 \nL 314.944642 107.685188 \nL 316.010835 101.088303 \nL 316.083939 95.318492 \nL 315.089008 90.59134 \nL 312.98859 87.074641 \nL 309.789079 84.870733 \nL 305.543393 84.00596 \nL 300.349295 84.429743 \nL 294.343204 86.023456 \nL 287.690337 88.617364 \nL 280.57252 92.012017 \nL 273.175358 96.00017 \nL 265.676514 100.385488 \nL 258.236268 104.995904 \nL 250.991111 109.690957 \nL 244.050405 114.363681 \nL 237.495772 118.938519 \nL 231.382568 123.366759 \nL 225.742754 127.621002 \nL 220.588486 131.689631 \nL 215.915947 135.571907 \nL 211.709025 139.273998 \nL 207.942642 142.80593 \nL 204.58561 146.179479 \nL 201.60298 149.406712 \nL 198.957923 152.499101 \nL 196.613163 155.46707 \nL 194.532043 158.319732 \nL 191.021438 163.708989 \nL 188.167795 168.714485 \nL 184.642177 175.566729 \nL 181.496263 181.671558 \nL 179.375494 185.326327 \nL 177.100767 188.633824 \nL 175.873428 190.149545 \nL 174.56984 191.56729 \nL 173.178116 192.881267 \nL 171.686458 194.084436 \nL 170.083055 195.168345 \nL 168.356002 196.122925 \nL 166.493249 196.936256 \nL 164.482577 197.594315 \nL 162.311615 198.080707 \nL 159.967913 198.376364 \nL 157.439054 198.45924 \nL 154.712854 198.30401 \nL 151.777628 197.881802 \nL 148.62257 197.159971 \nL 145.238262 196.101991 \nL 141.617312 194.667499 \nL 137.755193 192.812598 \nL 133.651249 190.490494 \nL 129.309957 187.652639 \nL 124.742396 184.250472 \nL 119.967982 180.238015 \nL 115.016391 175.575375 \nL 109.929655 170.233406 \nL 104.764273 164.199497 \nL 99.593195 157.48442 \nL 94.50737 150.129883 \nL 89.616531 142.216165 \nL 85.048765 133.868709 \nL 80.948347 125.262242 \nL 77.471433 116.620657 \nL 74.779222 108.210815 \nL 73.028568 100.329102 \nL 72.360448 93.280421 \nL 72.887175 87.351104 \nL 74.679958 82.779271 \nL 77.758579 79.727525 \nL 82.085263 78.263602 \nL 87.564134 78.353481 \nL 94.046907 79.868734 \nL 101.344205 82.606831 \nL 109.240872 86.319542 \nL 117.512819 90.743579 \nL 125.942991 95.62765 \nL 134.334451 100.752068 \nL 142.519409 105.939544 \nL 157.769099 116.017472 \nL 171.025592 125.268446 \nL 176.82718 129.525437 \nL 182.080009 133.539852 \nL 186.805262 137.324895 \nL 191.03452 140.897554 \nL 194.806232 144.275903 \nL 198.162872 147.47742 \nL 201.148719 150.518019 \nL 203.808196 153.411553 \nL 208.319668 158.80201 \nL 212.018961 163.717431 \nL 220.833245 175.90076 \nL 223.674498 179.101392 \nL 225.164412 180.525523 \nL 226.721538 181.823966 \nL 228.36035 182.988901 \nL 230.094451 184.011051 \nL 231.936691 184.879559 \nL 233.899223 185.581813 \nL 235.993517 186.10333 \nL 238.230331 186.427566 \nL 240.619612 186.535827 \nL 243.170339 186.407143 \nL 245.890272 186.018216 \nL 248.785637 185.343491 \nL 251.860687 184.355286 \nL 255.117166 183.02414 \nL 258.553654 181.319359 \nL 262.164765 179.209874 \nL 265.940253 176.665441 \nL 269.86395 173.658311 \nL 273.912662 170.165388 \nL 278.054959 166.170963 \nL 282.250024 161.669981 \nL 286.446605 156.671779 \nL 290.582206 151.204155 \nL 294.582769 145.317396 \nL 298.36295 139.087798 \nL 301.827323 132.620056 \nL 304.872664 126.047704 \nL 307.391498 119.530921 \nL 309.276971 113.250954 \nL 310.428886 107.400965 \nL 310.760625 102.173528 \nL 310.206298 97.745883 \nL 308.727352 94.264686 \nL 306.31773 91.832513 \nL 303.006717 90.498432 \nL 298.858869 90.254476 \nL 293.970775 91.038678 \nL 288.465009 92.744106 \nL 282.481923 95.232238 \nL 276.170427 98.348148 \nL 269.678813 101.935018 \nL 263.14673 105.84609 \nL 256.698944 109.952903 \nL 250.441185 114.14968 \nL 244.458153 118.354302 \nL 238.813298 122.506846 \nL 233.550028 126.566557 \nL 228.693823 130.508205 \nL 224.254888 134.318386 \nL 220.230955 137.992192 \nL 216.61003 141.530437 \nL 213.37289 144.937498 \nL 210.495281 148.219704 \nL 207.94976 151.384246 \nL 205.707183 154.438435 \nL 203.737887 157.389248 \nL 202.012575 160.24311 \nL 200.502967 163.005782 \nL 198.025338 168.277274 \nL 196.112251 173.237183 \nL 194.601626 177.910971 \nL 192.807182 184.426784 \nL 190.2829 194.077624 \nL 189.229642 197.540678 \nL 188.066209 200.783352 \nL 186.740692 203.805017 \nL 185.200266 206.599992 \nL 183.388164 209.155759 \nL 182.360731 210.337552 \nL 181.240907 211.450403 \nL 180.019281 212.489504 \nL 178.685708 213.448913 \nL 177.229241 214.321352 \nL 175.638063 215.097964 \nL 173.899437 215.768021 \nL 171.999666 216.318594 \nL 169.924064 216.734153 \nL 167.656975 216.996128 \nL 165.181805 217.082395 \nL 162.481125 216.966705 \nL 159.536833 216.618063 \nL 156.33041 216.000064 \nL 152.843313 215.070214 \nL 149.05749 213.77931 \nL 144.956154 212.070904 \nL 140.524758 209.881011 \nL 135.75233 207.1382 \nL 130.633163 203.764285 \nL 125.168972 199.675943 \nL 119.37157 194.787571 \nL 113.266071 189.0159 \nL 106.894619 182.286775 \nL 100.320574 174.544544 \nL 93.632881 165.764361 \nL 86.950237 155.967116 \nL 80.424448 145.236315 \nL 74.241985 133.734885 \nL 68.622714 121.718908 \nL 63.814375 109.543774 \nL 60.081782 97.657569 \nL 57.68998 86.577147 \nL 56.881793 76.844542 \nL 57.851596 68.966489 \nL 60.718814 63.345802 \nL 65.506165 60.219187 \nL 72.127715 59.617892 \nL 80.390645 61.363451 \nL 90.011669 65.101352 \nL 100.645595 70.363644 \nL 111.920352 76.643441 \nL 123.471723 83.462497 \nL 166.761183 109.571498 \nL 184.367052 119.857012 \nL 215.085832 137.620012 \nL 226.469587 144.573061 \nL 238.885845 152.419655 \nL 242.637656 154.506249 \nL 246.087094 156.026063 \nL 247.754892 156.570547 \nL 249.407984 156.967967 \nL 251.05992 157.214952 \nL 252.721372 157.307742 \nL 254.400297 157.242422 \nL 256.10207 157.015136 \nL 257.829562 156.622346 \nL 259.583215 156.061097 \nL 261.361067 155.329306 \nL 263.158802 154.426096 \nL 264.96973 153.352138 \nL 266.784843 152.110055 \nL 268.592814 150.704773 \nL 270.380069 149.143924 \nL 272.130867 147.438216 \nL 273.827456 145.601722 \nL 275.45029 143.652134 \nL 276.97831 141.610913 \nL 278.389338 139.503232 \nL 279.660542 137.357811 \nL 280.769023 135.206526 \nL 281.692473 133.083783 \nL 282.409911 131.025722 \nL 282.902448 129.069156 \nL 283.154093 127.250413 \nL 283.1525 125.604051 \nL 282.889664 124.161565 \nL 282.362459 122.950184 \nL 281.573009 121.991805 \nL 280.528897 121.302205 \nL 279.243066 120.890574 \nL 277.733555 120.759372 \nL 276.022968 120.904581 \nL 274.13776 121.316246 \nL 272.107391 121.979296 \nL 269.963351 122.874541 \nL 267.738176 123.979763 \nL 265.464504 125.270829 \nL 263.174164 126.722685 \nL 260.897413 128.31027 \nL 256.494243 131.796564 \nL 252.445792 135.552343 \nL 248.893989 139.42879 \nL 247.33541 141.37397 \nL 245.932788 143.306759 \nL 244.69147 145.216224 \nL 243.614813 147.092612 \nL 242.704493 148.927166 \nL 241.960831 150.711912 \nL 241.383084 152.439482 \nL 240.969709 154.102923 \nL 240.718607 155.695546 \nL 240.627316 157.210791 \nL 240.693186 158.642088 \nL 240.913518 159.982773 \nL 241.285647 161.225954 \nL 241.807017 162.364441 \nL 242.475221 163.390684 \nL 243.287983 164.296677 \nL 244.243148 165.073927 \nL 245.338617 165.713422 \nL 246.572268 166.205614 \nL 247.941831 166.540403 \nL 249.444749 166.707201 \nL 251.078001 166.695007 \nL 252.837909 166.49251 \nL 254.71989 166.088283 \nL 256.718207 165.471015 \nL 258.825669 164.62984 \nL 261.033331 163.554751 \nL 263.330139 162.23711 \nL 265.702628 160.670271 \nL 268.134551 158.850294 \nL 270.6066 156.77678 \nL 273.096105 154.453761 \nL 275.576867 151.890667 \nL 278.019048 149.103248 \nL 280.389255 146.114456 \nL 282.650743 142.95513 \nL 284.763907 139.664415 \nL 286.686967 136.28981 \nL 288.37699 132.886664 \nL 289.791142 129.517098 \nL 290.888218 126.248286 \nL 291.63036 123.150085 \nL 291.984901 120.29213 \nL 291.926196 117.740549 \nL 291.437329 115.554545 \nL 290.511468 113.783269 \nL 289.152836 112.463109 \nL 287.377054 111.615935 \nL 285.210887 111.248248 \nL 282.69134 111.351573 \nL 279.864143 111.903801 \nL 276.781799 112.871473 \nL 273.501282 114.212583 \nL 270.08167 115.879666 \nL 266.581834 117.822736 \nL 263.058324 119.991985 \nL 259.563656 122.33992 \nL 256.144987 124.82287 \nL 252.843262 127.401988 \nL 249.692761 130.043644 \nL 246.721043 132.719449 \nL 243.9492 135.405925 \nL 241.392327 138.084037 \nL 239.060169 140.738559 \nL 236.957845 143.357452 \nL 235.086624 145.931243 \nL 233.444675 148.452486 \nL 232.027778 150.915268 \nL 230.829988 153.314789 \nL 229.844213 155.647024 \nL 229.062714 157.908458 \nL 228.477526 160.095841 \nL 228.080807 162.206016 \nL 227.865112 164.235756 \nL 227.823608 166.181651 \nL 227.95024 168.03999 \nL 228.239828 169.806636 \nL 228.688151 171.476961 \nL 229.291974 173.045715 \nL 230.049054 174.506932 \nL 230.95812 175.853829 \nL 232.018826 177.078697 \nL 233.23169 178.172763 \nL 234.597988 179.126087 \nL 236.119654 179.927437 \nL 237.799137 180.564149 \nL 239.639232 181.022047 \nL 241.642865 181.285311 \nL 243.812868 181.336446 \nL 246.151668 181.156228 \nL 248.660952 180.723774 \nL 251.341247 180.016669 \nL 254.191434 179.011223 \nL 257.208189 177.682903 \nL 260.385339 176.006961 \nL 263.713114 173.959341 \nL 267.177358 171.51785 \nL 270.758632 168.663716 \nL 274.431329 165.383535 \nL 278.162762 161.671547 \nL 281.912362 157.532321 \nL 285.631018 152.983609 \nL 289.260737 148.059313 \nL 292.734709 142.812159 \nL 295.977949 137.31579 \nL 298.908679 131.665702 \nL 301.440578 125.978614 \nL 303.485923 120.389711 \nL 304.959675 115.04752 \nL 305.784278 110.106333 \nL 305.894885 105.716607 \nL 305.244569 102.014226 \nL 303.808913 99.109799 \nL 301.58941 97.079608 \nL 298.61508 95.959579 \nL 294.941981 95.743262 \nL 290.650533 96.384332 \nL 285.840874 97.802966 \nL 280.626789 99.895108 \nL 275.128908 102.543036 \nL 269.46797 105.625587 \nL 263.758754 109.026878 \nL 258.10527 112.642647 \nL 252.597399 116.38407 \nL 247.309023 120.179223 \nL 242.297507 123.972683 \nL 237.60426 127.723901 \nL 233.256079 131.404923 \nL 229.266982 134.997877 \nL 225.640258 138.492562 \nL 222.370562 141.884347 \nL 219.445903 145.172425 \nL 216.849434 148.358454 \nL 214.561015 151.44555 \nL 212.558516 154.437575 \nL 210.818884 157.338666 \nL 209.318983 160.152924 \nL 208.036232 162.884238 \nL 206.949074 165.536191 \nL 206.037305 168.11205 \nL 205.28228 170.614751 \nL 204.176327 175.410959 \nL 203.51612 179.942839 \nL 203.213119 184.22507 \nL 203.202897 188.269719 \nL 203.442063 192.08667 \nL 203.905218 195.683752 \nL 204.582372 199.066547 \nL 205.476965 202.237935 \nL 206.604576 205.197331 \nL 207.992295 207.939516 \nL 209.678712 210.45293 \nL 210.649257 211.61792 \nL 211.714449 212.71722 \nL 212.882658 213.746335 \nL 214.163151 214.699697 \nL 215.56613 215.570477 \nL 217.102785 216.35034 \nL 218.78533 217.029162 \nL 220.627038 217.594721 \nL 222.642255 218.032294 \nL 224.846402 218.324236 \nL 227.255943 218.449464 \nL 229.888298 218.382897 \nL 232.761704 218.09481 \nL 235.894992 217.550168 \nL 239.307249 216.707913 \nL 243.017333 215.520274 \nL 247.043184 213.932149 \nL 251.400926 211.880661 \nL 256.103624 209.295059 \nL 261.159696 206.097133 \nL 266.570869 202.20245 \nL 272.329607 197.522765 \nL 278.416014 191.970053 \nL 284.794123 185.462661 \nL 291.407697 177.934032 \nL 298.175682 169.344458 \nL 304.9877 159.695792 \nL 311.700105 149.048607 \nL 318.133507 137.540242 \nL 324.072856 125.400908 \nL 329.271458 112.963615 \nL 333.460176 100.66258 \nL 336.362881 89.01463 \nL 337.718108 78.580128 \nL 337.305598 69.904325 \nL 334.974472 63.446182 \nL 330.668284 59.508764 \nL 324.441281 58.188519 \nL 316.461213 59.358993 \nL 306.996535 62.695253 \nL 296.38964 67.733196 \nL 285.021246 73.947008 \nL 273.273182 80.824424 \nL 228.632942 107.665208 \nL 210.294368 118.269988 \nL 166.29789 143.216216 \nL 153.49532 150.823159 \nL 149.709986 152.806778 \nL 146.284183 154.234653 \nL 144.648091 154.740061 \nL 143.039384 155.104497 \nL 141.444197 155.325741 \nL 139.851615 155.401264 \nL 138.25347 155.328421 \nL 136.644213 155.104693 \nL 135.020777 154.727926 \nL 133.382479 154.196589 \nL 131.730945 153.51001 \nL 130.070055 152.668699 \nL 128.405873 151.674622 \nL 126.746598 150.531541 \nL 125.102473 149.245292 \nL 123.48572 147.824096 \nL 121.910392 146.278821 \nL 120.392199 144.623209 \nL 118.9483 142.874016 \nL 117.596993 141.051027 \nL 116.357348 139.17703 \nL 115.248806 137.277556 \nL 114.290643 135.380515 \nL 113.501428 133.515659 \nL 112.898397 131.71385 \nL 112.496829 130.006261 \nL 112.309424 128.423372 \nL 112.345699 126.994008 \nL 112.61147 125.744317 \nL 113.108451 124.696841 \nL 113.833956 123.869733 \nL 114.780829 123.276156 \nL 115.937483 122.923915 \nL 117.288168 122.81539 \nL 118.813398 122.947699 \nL 120.490508 123.313097 \nL 122.294338 123.899611 \nL 124.198017 124.69177 \nL 126.173708 125.671457 \nL 128.193416 126.818751 \nL 132.256202 129.532126 \nL 136.183774 132.664442 \nL 139.806104 136.059802 \nL 142.992789 139.5829 \nL 145.653403 143.121316 \nL 147.732968 146.583315 \nL 148.54564 148.261571 \nL 149.204835 149.893399 \nL 149.71035 151.471071 \nL 150.062794 152.98726 \nL 150.263396 154.434895 \nL 150.313829 155.807057 \nL 150.216062 157.096855 \nL 149.972258 158.297343 \nL 149.584691 159.401433 \nL 149.055685 160.401824 \nL 148.387592 161.290934 \nL 147.582798 162.060874 \nL 146.643755 162.703399 \nL 145.573035 163.209921 \nL 144.373414 163.571498 \nL 143.047994 163.778888 \nL 141.600323 163.822619 \nL 140.034576 163.69311 \nL 138.355726 163.380804 \nL 136.569767 162.876401 \nL 134.683942 162.171117 \nL 132.706981 161.25704 \nL 130.649383 160.12754 \nL 128.523654 158.777766 \nL 126.344575 157.205217 \nL 124.12944 155.410387 \nL 121.898237 153.397435 \nL 119.673791 151.174942 \nL 117.481821 148.756589 \nL 115.350868 146.161804 \nL 113.312082 143.416262 \nL 111.398872 140.552214 \nL 109.646315 137.608472 \nL 108.090414 134.63008 \nL 106.767109 131.66754 \nL 105.71113 128.775555 \nL 104.954657 126.011334 \nL 104.525928 123.432471 \nL 104.447819 121.094535 \nL 104.736513 119.04854 \nL 105.400349 117.338466 \nL 106.439001 115.999125 \nL 107.843038 115.054532 \nL 109.593935 114.516907 \nL 111.664583 114.386573 \nL 114.020224 114.652517 \nL 116.61982 115.293723 \nL 119.417688 116.281018 \nL 122.365281 117.579223 \nL 125.413042 119.149431 \nL 128.512129 120.951138 \nL 131.615947 122.944125 \nL 134.681394 125.089972 \nL 137.669805 127.353142 \nL 140.547544 129.701673 \nL 143.286305 132.107466 \nL 145.863127 134.546327 \nL 148.260192 136.997774 \nL 150.464442 139.444694 \nL 152.467085 141.872893 \nL 154.263038 144.270686 \nL 155.850328 146.628425 \nL 157.229505 148.938092 \nL 158.403079 151.192923 \nL 159.375005 153.387079 \nL 160.150218 155.515379 \nL 160.734232 157.573049 \nL 161.132794 159.555535 \nL 161.351613 161.458311 \nL 161.396119 163.276765 \nL 161.271294 165.006037 \nL 160.981551 166.640928 \nL 160.530631 168.17577 \nL 159.921568 169.604344 \nL 159.156671 170.919755 \nL 158.237535 172.114346 \nL 157.165087 173.179598 \nL 155.939651 174.106023 \nL 154.561061 174.883094 \nL 153.028776 175.499153 \nL 151.34204 175.941326 \nL 149.50008 176.195519 \nL 147.502335 176.246364 \nL 145.348714 176.077311 \nL 143.039938 175.670675 \nL 140.577886 175.007872 \nL 137.966043 174.069712 \nL 135.209964 172.836836 \nL 132.317833 171.290335 \nL 129.301055 169.412578 \nL 126.174883 167.188254 \nL 122.959107 164.605681 \nL 119.678712 161.658383 \nL 116.364491 158.346878 \nL 113.05356 154.68068 \nL 109.789718 150.680358 \nL 106.62354 146.379567 \nL 103.6121 141.826745 \nL 100.818244 137.086284 \nL 98.309328 132.23877 \nL 96.155294 127.380067 \nL 94.426175 122.618885 \nL 93.188925 118.072768 \nL 92.503858 113.862477 \nL 92.420828 110.105124 \nL 92.975497 106.906636 \nL 94.186116 104.354409 \nL 96.051139 102.510937 \nL 98.548097 101.409595 \nL 101.633877 101.052852 \nL 105.246558 101.413527 \nL 109.308578 102.438622 \nL 113.730962 104.055276 \nL 118.418146 106.177713 \nL 123.272929 108.71447 \nL 128.201044 111.574816 \nL 133.114994 114.673894 \nL 137.936983 117.936221 \nL 142.600756 121.297601 \nL 147.052496 124.705683 \nL 151.250851 128.11944 \nL 155.166291 131.507983 \nL 158.779988 134.849051 \nL 162.082438 138.127334 \nL 165.071927 141.332953 \nL 167.753009 144.460044 \nL 170.135062 147.505647 \nL 172.230976 150.468765 \nL 174.056011 153.349679 \nL 175.62683 156.149428 \nL 176.960689 158.869441 \nL 178.074814 161.511293 \nL 178.985889 164.07654 \nL 179.709692 166.566621 \nL 180.260829 168.982779 \nL 180.652546 171.326033 \nL 180.896618 173.597152 \nL 181.003292 175.796635 \nL 180.981263 177.924706 \nL 180.837695 179.981269 \nL 180.578244 181.965891 \nL 180.20711 183.877798 \nL 179.727088 185.715781 \nL 179.139623 187.478182 \nL 178.444865 189.162812 \nL 177.641724 190.766872 \nL 176.727925 192.286874 \nL 175.70004 193.718511 \nL 174.553541 195.056537 \nL 173.282839 196.29462 \nL 171.881318 197.425167 \nL 170.341378 198.439114 \nL 168.654488 199.325718 \nL 166.811243 200.072286 \nL 164.801442 200.663893 \nL 162.614192 201.083081 \nL 160.238048 201.309511 \nL 157.66121 201.31962 \nL 154.871767 201.086276 \nL 151.858045 200.578439 \nL 148.609038 199.760904 \nL 145.114987 198.59414 \nL 141.368113 197.034309 \nL 137.363528 195.033543 \nL 133.100383 192.540624 \nL 128.583246 189.502195 \nL 123.823777 185.86471 \nL 118.842652 181.577262 \nL 113.671734 176.595576 \nL 108.356443 170.887257 \nL 102.958144 164.438372 \nL 97.556419 157.261305 \nL 92.250803 149.403428 \nL 87.161679 140.955786 \nL 82.429719 132.060594 \nL 78.213332 122.91566 \nL 74.68359 113.773636 \nL 72.01622 104.934123 \nL 70.380678 96.726898 \nL 69.926789 89.486629 \nL 70.770243 83.520755 \nL 72.978675 79.07541 \nL 76.560752 76.305266 \nL 81.460402 75.254217 \nL 87.557818 75.851495 \nL 94.67763 77.924695 \nL 102.60324 81.226762 \nL 111.094991 85.470615 \nL 119.909284 90.364012 \nL 128.815828 95.638304 \nL 137.610938 101.06737 \nL 154.230649 111.740551 \nL 168.876003 121.556407 \nL 181.19796 130.26196 \nL 186.489368 134.208348 \nL 191.235382 137.907614 \nL 195.474443 141.381262 \nL 199.250749 144.650542 \nL 202.611478 147.735068 \nL 205.604678 150.652046 \nL 210.676329 156.038904 \nL 214.820216 160.896629 \nL 223.043825 170.980114 \nL 226.082348 174.197553 \nL 227.638092 175.619685 \nL 229.242304 176.909746 \nL 230.911145 178.060333 \nL 232.659429 179.062647 \nL 234.500745 179.906409 \nL 236.447531 180.579764 \nL 238.511131 181.069182 \nL 240.701766 181.359397 \nL 243.028457 181.433346 \nL 245.498891 181.272138 \nL 248.119196 180.855129 \nL 250.893652 180.160075 \nL 253.824302 179.16336 \nL 256.910472 177.84046 \nL 260.148196 176.166569 \nL 263.529547 174.117502 \nL 267.041856 171.670897 \nL 270.666912 168.807802 \nL 274.380055 165.514593 \nL 278.149295 161.78533 \nL 281.934534 157.624464 \nL 285.686924 153.049746 \nL 289.348513 148.095224 \nL 292.852323 142.813997 \nL 296.123005 137.280347 \nL 299.07825 131.590706 \nL 301.631062 125.863044 \nL 303.692959 120.234102 \nL 305.1781 114.854163 \nL 306.008162 109.879362 \nL 306.11767 105.461963 \nL 305.459279 101.739363 \nL 304.00845 98.823278 \nL 301.766882 96.790482 \nL 298.76417 95.676734 \nL 295.057267 95.474799 \nL 290.72777 96.137006 \nL 285.877173 97.581833 \nL 280.620669 99.703385 \nL 275.08028 102.382117 \nL 269.377957 105.495304 \nL 263.629501 108.9258 \nL 257.939685 112.568476 \nL 252.398882 116.333999 \nL 247.081226 120.150197 \nL 242.044111 123.96168 \nL 237.328802 127.728079 \nL 232.961828 131.421729 \nL 228.956849 135.025083 \nL 225.316741 138.528285 \nL 222.035732 141.927023 \nL 219.101396 145.220777 \nL 216.496473 148.411453 \nL 214.200427 151.502386 \nL 212.190774 154.49762 \nL 210.444133 157.401434 \nL 208.937074 160.21804 \nL 207.646751 162.951439 \nL 206.551372 165.605298 \nL 205.630517 168.182952 \nL 204.865348 170.687398 \nL 203.735223 175.487172 \nL 203.044572 180.023077 \nL 202.703569 184.31021 \nL 202.646444 188.361122 \nL 202.828296 192.186327 \nL 203.22197 195.794433 \nL 203.815381 199.192078 \nL 204.609449 202.383575 \nL 205.616723 205.370316 \nL 206.860658 208.149833 \nL 208.375512 210.71442 \nL 210.206799 213.049098 \nL 211.258626 214.122868 \nL 212.412218 215.128739 \nL 213.676908 216.061304 \nL 215.062968 216.913911 \nL 216.581662 217.678431 \nL 218.245286 218.344978 \nL 220.067216 218.901584 \nL 222.061928 219.333822 \nL 224.245006 219.624351 \nL 226.633113 219.752422 \nL 229.243938 219.693292 \nL 232.096055 219.417578 \nL 235.208719 218.890569 \nL 238.60155 218.071468 \nL 242.294072 216.912677 \nL 246.30506 215.359105 \nL 250.651656 213.34766 \nL 255.348167 210.807031 \nL 260.404497 207.657981 \nL 265.82414 203.814407 \nL 271.601615 199.185581 \nL 277.719352 193.679953 \nL 284.143966 187.211113 \nL 290.821954 179.706372 \nL 297.674986 171.118465 \nL 304.59517 161.440432 \nL 311.440749 150.723247 \nL 318.033166 139.094784 \nL 324.156599 126.777351 \nL 329.561342 114.099472 \nL 333.972534 101.496462 \nL 337.105235 89.493777 \nL 338.686197 78.669055 \nL 338.481057 69.592751 \nL 336.32383 62.754344 \nL 332.143848 58.487856 \nL 325.984148 56.915349 \nL 318.006142 57.925535 \nL 308.477876 61.195453 \nL 297.747249 66.250331 \nL 286.20528 72.544611 \nL 274.24695 79.542303 \nL 239.234479 100.639689 \nL 218.86182 112.525945 \nL 201.787824 122.100066 \nL 158.976435 145.655852 \nL 152.023475 149.493571 \nL 148.253155 151.329835 \nL 144.881162 152.624551 \nL 143.286619 153.071055 \nL 141.729383 153.383029 \nL 140.195752 153.559332 \nL 138.674981 153.598571 \nL 137.159081 153.499322 \nL 135.642636 153.260344 \nL 134.122672 152.88082 \nL 132.598519 152.36058 \nL 131.071704 151.700339 \nL 129.545868 150.901951 \nL 128.026651 149.968658 \nL 126.521621 148.905347 \nL 123.593265 146.417784 \nL 120.854898 143.519485 \nL 118.42152 140.328571 \nL 116.420504 137.001263 \nL 115.6225 135.344324 \nL 114.979888 133.725669 \nL 114.506391 132.171527 \nL 114.213861 130.708021 \nL 114.111799 129.360383 \nL 114.2069 128.152194 \nL 114.502683 127.104617 \nL 114.999194 126.235683 \nL 115.692837 125.559741 \nL 116.576334 125.087045 \nL 117.638834 124.823508 \nL 118.866135 124.770671 \nL 120.241047 124.925846 \nL 121.743878 125.282478 \nL 123.352971 125.830588 \nL 125.0453 126.557375 \nL 126.797113 127.44783 \nL 130.384059 129.652555 \nL 133.930779 132.30421 \nL 137.275126 135.26298 \nL 140.284749 138.400487 \nL 142.860362 141.604787 \nL 144.934385 144.780936 \nL 146.466522 147.848817 \nL 147.022821 149.320305 \nL 147.437913 150.739577 \nL 147.711805 152.099171 \nL 147.845131 153.39187 \nL 147.839004 154.610595 \nL 147.694926 155.748341 \nL 147.414688 156.798071 \nL 147.000293 157.752688 \nL 146.453946 158.60496 \nL 145.77802 159.347482 \nL 144.975069 159.972663 \nL 144.047873 160.472719 \nL 142.999492 160.839682 \nL 141.833353 161.06547 \nL 140.553349 161.141912 \nL 139.163977 161.060883 \nL 137.670476 160.814434 \nL 136.079001 160.394974 \nL 134.396792 159.795509 \nL 132.632383 159.009928 \nL 130.795796 158.03333 \nL 128.898737 156.862447 \nL 126.954787 155.496071 \nL 124.979566 153.935572 \nL 122.990894 152.185408 \nL 121.008833 150.253682 \nL 119.055731 148.152647 \nL 117.156132 145.899178 \nL 115.336598 143.515119 \nL 113.625396 141.027489 \nL 112.052032 138.468462 \nL 110.646653 135.87509 \nL 109.439279 133.288696 \nL 108.458929 130.753965 \nL 107.73259 128.317682 \nL 107.28413 126.027179 \nL 107.133251 123.928552 \nL 107.294413 122.064784 \nL 107.775962 120.47388 \nL 108.579432 119.187189 \nL 109.699136 118.228019 \nL 111.122076 117.610793 \nL 112.828205 117.340628 \nL 114.791035 117.413556 \nL 116.978562 117.817239 \nL 119.354433 118.53213 \nL 121.879258 119.532938 \nL 124.512036 120.790245 \nL 127.211511 122.272183 \nL 129.937458 123.945912 \nL 132.651772 125.778977 \nL 135.319362 127.740316 \nL 137.908794 129.801032 \nL 140.392688 131.934864 \nL 142.747904 134.118392 \nL 144.955529 136.331091 \nL 147.000695 138.555167 \nL 148.872284 140.775355 \nL 150.562542 142.978609 \nL 152.066651 145.15378 \nL 153.382267 147.291304 \nL 154.509067 149.382885 \nL 155.448331 151.421212 \nL 156.202514 153.399708 \nL 156.774907 155.312312 \nL 157.169314 157.153257 \nL 157.389782 158.916934 \nL 157.440385 160.597709 \nL 157.325042 162.189822 \nL 157.047397 163.687238 \nL 156.610702 165.083552 \nL 156.017782 166.371902 \nL 155.271007 167.544844 \nL 154.372292 168.594302 \nL 153.323149 169.51146 \nL 152.124753 170.286719 \nL 150.778037 170.909629 \nL 149.283835 171.368854 \nL 147.643031 171.652167 \nL 145.856762 171.746472 \nL 143.92665 171.637854 \nL 141.855073 171.311729 \nL 139.64547 170.753025 \nL 137.3027 169.946476 \nL 134.833433 168.877046 \nL 132.246587 167.530421 \nL 129.553784 165.893743 \nL 126.769854 163.956417 \nL 123.913327 161.711177 \nL 121.006907 159.155248 \nL 118.077899 156.291719 \nL 115.158542 153.13098 \nL 112.286221 149.692187 \nL 109.503421 146.004639 \nL 106.857449 142.108926 \nL 104.399829 138.057606 \nL 102.185247 133.915291 \nL 100.270119 129.757888 \nL 98.710676 125.670818 \nL 97.560665 121.746164 \nL 96.868735 118.078793 \nL 96.675674 114.761595 \nL 97.011683 111.880246 \nL 97.893982 109.507965 \nL 99.324952 107.70088 \nL 101.291119 106.494546 \nL 103.763063 105.902118 \nL 106.696401 105.914338 \nL 110.03375 106.501456 \nL 113.707501 107.6166 \nL 117.643179 109.200288 \nL 121.763001 111.185328 \nL 125.989389 113.501649 \nL 130.248103 116.080461 \nL 134.470813 118.857506 \nL 138.597009 121.775285 \nL 142.575168 124.784244 \nL 146.363266 127.84313 \nL 149.928726 130.918662 \nL 153.24791 133.984772 \nL 156.305285 137.021661 \nL 159.092415 140.014665 \nL 161.606833 142.953258 \nL 163.850914 145.830088 \nL 165.830812 148.640168 \nL 167.555453 151.380221 \nL 169.035673 154.048138 \nL 170.283452 156.642556 \nL 171.311292 159.162575 \nL 172.131691 161.607512 \nL 172.756738 163.976713 \nL 173.197796 166.269463 \nL 173.465266 168.484859 \nL 173.568416 170.621746 \nL 173.515271 172.678641 \nL 173.312544 174.653673 \nL 172.965603 176.54451 \nL 172.478472 178.348293 \nL 171.85384 180.061566 \nL 171.093097 181.68017 \nL 170.196375 183.19915 \nL 169.162611 184.612644 \nL 167.9896 185.913734 \nL 166.674074 187.094309 \nL 165.211778 188.144916 \nL 163.597575 189.054551 \nL 161.825554 189.810493 \nL 159.889156 190.398083 \nL 157.781361 190.800511 \nL 155.494869 190.998621 \nL 153.022369 190.970709 \nL 150.356837 190.69237 \nL 147.491936 190.136406 \nL 144.422493 189.272834 \nL 141.145081 188.06901 \nL 137.658742 186.490027 \nL 133.965829 184.499312 \nL 130.07302 182.059651 \nL 125.992468 179.134656 \nL 121.74315 175.690809 \nL 117.352256 171.700179 \nL 112.856738 167.143876 \nL 108.304767 162.016232 \nL 103.75708 156.329612 \nL 99.287979 150.119612 \nL 94.985719 143.45019 \nL 90.952059 136.41806 \nL 87.300593 129.155368 \nL 84.153659 121.829636 \nL 81.637532 114.639923 \nL 79.875952 107.808358 \nL 78.982142 101.566837 \nL 79.049984 96.139644 \nL 80.145089 91.723793 \nL 82.297091 88.469874 \nL 85.494222 86.466607 \nL 89.68137 85.732322 \nL 94.762138 86.214975 \nL 100.604907 87.800944 \nL 107.052155 90.330791 \nL 113.93178 93.618715 \nL 121.068812 97.47233 \nL 128.29613 101.709358 \nL 135.462992 106.16968 \nL 142.440895 110.72189 \nL 149.126594 115.265096 \nL 155.442693 119.727163 \nL 161.336311 124.060674 \nL 166.776484 128.238014 \nL 171.750884 132.24637 \nL 176.262291 136.083306 \nL 180.325187 139.753103 \nL 183.962654 143.263939 \nL 187.203694 146.625906 \nL 190.081008 149.849616 \nL 192.629207 152.945367 \nL 194.883436 155.922611 \nL 196.87834 158.789765 \nL 198.647337 161.554113 \nL 201.632345 166.798178 \nL 204.066938 171.692827 \nL 208.028174 180.524613 \nL 210.775937 186.349601 \nL 212.716794 189.85014 \nL 214.856601 193.028868 \nL 216.02889 194.489965 \nL 217.283951 195.859805 \nL 218.632718 197.132787 \nL 220.08629 198.302096 \nL 221.656034 199.359506 \nL 223.353643 200.295168 \nL 225.191194 201.097364 \nL 227.181165 201.752228 \nL 229.33642 202.243428 \nL 231.670155 202.551841 \nL 234.195783 202.655183 \nL 236.926775 202.52764 \nL 239.876386 202.139504 \nL 243.057312 201.456843 \nL 246.481201 200.441258 \nL 250.158012 199.049766 \nL 254.095195 197.234916 \nL 258.296656 194.945238 \nL 262.761449 192.126172 \nL 267.482232 188.721635 \nL 272.443392 184.676476 \nL 277.61889 179.939954 \nL 282.969896 174.470578 \nL 288.442238 168.242273 \nL 293.963913 161.252045 \nL 299.442898 153.5288 \nL 304.765658 145.1427 \nL 309.796836 136.214031 \nL 314.380783 126.91982 \nL 318.34548 117.496151 \nL 321.509413 108.233791 \nL 323.691609 99.465096 \nL 324.724628 91.541244 \nL 324.469564 84.801038 \nL 322.831315 79.53478 \nL 319.771953 75.949271 \nL 315.319565 74.141302 \nL 309.570525 74.085853 \nL 302.684106 75.64248 \nL 294.869855 78.578631 \nL 286.369679 82.604295 \nL 277.437628 87.410195 \nL 268.320499 92.701728 \nL 259.24194 98.223515 \nL 241.919342 109.200612 \nL 226.509217 119.347299 \nL 213.461573 128.326779 \nL 207.840093 132.380108 \nL 202.790526 136.166369 \nL 198.275662 139.70858 \nL 194.251259 143.030016 \nL 190.669191 146.152418 \nL 187.479857 149.095045 \nL 182.083694 154.503551 \nL 177.691358 159.352502 \nL 169.075777 169.321286 \nL 165.93982 172.462086 \nL 164.343823 173.839491 \nL 162.704164 175.080442 \nL 161.004291 176.177453 \nL 159.229183 177.121637 \nL 157.365245 177.902665 \nL 155.400204 178.5087 \nL 153.323088 178.926322 \nL 151.124241 179.140503 \nL 148.795408 179.13458 \nL 146.329879 178.890326 \nL 143.722723 178.388033 \nL 140.971072 177.606741 \nL 138.074505 176.524589 \nL 135.035533 175.119315 \nL 131.860131 173.36899 \nL 128.55839 171.252995 \nL 125.145223 168.753272 \nL 121.64111 165.855925 \nL 118.072864 162.553135 \nL 114.474347 158.845393 \nL 110.887083 154.743967 \nL 107.360662 150.273484 \nL 103.952803 145.474434 \nL 100.729019 140.405252 \nL 97.761643 135.143657 \nL 95.128205 129.786813 \nL 92.908983 124.449864 \nL 91.183784 119.262517 \nL 90.027979 114.363528 \nL 89.508024 109.893233 \nL 89.67676 105.984611 \nL 90.569007 102.753753 \nL 92.197846 100.291013 \nL 94.552213 98.653901 \nL 97.596159 97.863061 \nL 101.269994 97.901814 \nL 105.493281 98.719494 \nL 110.169441 100.237776 \nL 115.191352 102.359243 \nL 120.447454 104.976468 \nL 125.827584 107.980713 \nL 131.228081 111.269046 \nL 136.555777 114.749409 \nL 141.730691 118.343495 \nL 146.687438 121.987814 \nL 151.375495 125.633188 \nL 155.758601 129.243299 \nL 159.813478 132.792692 \nL 163.528175 136.264664 \nL 166.900235 139.649208 \nL 169.934839 142.941217 \nL 172.643042 146.139007 \nL 175.040183 149.243156 \nL 177.144501 152.255639 \nL 178.975971 155.17917 \nL 180.555346 158.016821 \nL 181.903408 160.771698 \nL 183.040385 163.446797 \nL 183.985521 166.044909 \nL 184.756778 168.568561 \nL 185.370636 171.020033 \nL 185.841976 173.401327 \nL 186.408373 177.960216 \nL 186.542187 182.256625 \nL 186.304658 186.298542 \nL 185.734308 190.090564 \nL 184.849382 193.633456 \nL 183.650021 196.923295 \nL 182.119905 199.950036 \nL 181.221481 201.35942 \nL 180.227291 202.695366 \nL 179.131033 203.953796 \nL 177.925472 205.129678 \nL 176.602429 206.216851 \nL 175.152781 207.207827 \nL 173.566446 208.093562 \nL 171.832385 208.8632 \nL 169.93861 209.503755 \nL 167.87221 209.999764 \nL 165.61941 210.332888 \nL 163.165661 210.481476 \nL 160.495773 210.420087 \nL 157.594134 210.118963 \nL 154.445013 209.543521 \nL 151.032968 208.653858 \nL 147.343422 207.404315 \nL 143.363416 205.74321 \nL 139.082596 203.612813 \nL 134.494486 200.949738 \nL 129.59809 197.685926 \nL 124.399851 193.750486 \nL 118.916067 189.072686 \nL 113.175663 183.586418 \nL 107.223378 177.236493 \nL 101.123164 169.987008 \nL 94.961622 161.831802 \nL 88.851057 152.806727 \nL 82.931613 143.002819 \nL 77.371744 132.578699 \nL 72.36609 121.769634 \nL 68.129889 110.889837 \nL 64.889106 100.324354 \nL 62.866016 90.507588 \nL 62.260725 81.887455 \nL 63.23027 74.877952 \nL 65.868144 69.807008 \nL 70.187867 66.87016 \nL 76.114295 66.101496 \nL 83.485327 67.370189 \nL 92.06471 70.404525 \nL 101.563965 74.837395 \nL 111.669564 80.261661 \nL 122.070416 86.28227 \nL 142.659135 98.80985 \nL 177.971116 120.772536 \nL 191.514758 129.364596 \nL 202.407888 136.560002 \nL 211.04146 142.636842 \nL 217.876964 147.82876 \nL 223.364805 152.299608 \nL 233.662417 160.857084 \nL 237.17616 163.291614 \nL 238.912312 164.289376 \nL 240.661514 165.133946 \nL 242.440519 165.818721 \nL 244.263583 166.336068 \nL 246.142588 166.677426 \nL 248.087125 166.833409 \nL 250.104539 166.793975 \nL 252.199903 166.548598 \nL 254.375965 166.086513 \nL 256.633028 165.397015 \nL 258.968799 164.469875 \nL 261.378189 163.295801 \nL 263.853074 161.867032 \nL 266.382062 160.178045 \nL 268.950229 158.226364 \nL 271.538884 156.01346 \nL 274.125385 153.545751 \nL 276.683035 150.835575 \nL 279.18107 147.902198 \nL 281.584846 144.772682 \nL 283.856206 141.482494 \nL 285.954091 138.075833 \nL 287.835408 134.605444 \nL 289.45624 131.131872 \nL 290.773289 127.722072 \nL 291.745593 124.447269 \nL 292.336394 121.380231 \nL 292.515124 118.591987 \nL 292.259256 116.148283 \nL 291.555997 114.106059 \nL 290.403545 112.510355 \nL 288.811808 111.391807 \nL 286.802503 110.765323 \nL 284.40857 110.629747 \nL 281.672903 110.968824 \nL 278.646518 111.753163 \nL 275.386315 112.942903 \nL 271.952614 114.490952 \nL 268.406653 116.346168 \nL 264.808265 118.456385 \nL 261.213874 120.770953 \nL 257.674899 123.242637 \nL 254.236634 125.828911 \nL 250.937582 128.492633 \nL 247.80923 131.20223 \nL 244.876164 133.931485 \nL 242.156493 136.659071 \nL 239.662438 139.367954 \nL 237.401084 142.044712 \nL 235.37515 144.678879 \nL 233.583812 147.262312 \nL 232.023463 149.788661 \nL 230.688425 152.252907 \nL 229.571591 154.650973 \nL 228.664982 156.979413 \nL 227.960217 159.235145 \nL 227.448905 161.415269 \nL 227.122968 163.516883 \nL 226.974878 165.536957 \nL 226.997851 167.472214 \nL 227.185985 169.319022 \nL 227.534344 171.073296 \nL 228.039014 172.730397 \nL 228.697121 174.285033 \nL 229.506824 175.731162 \nL 230.467285 177.061865 \nL 231.57861 178.269263 \nL 232.84178 179.344352 \nL 234.258552 180.276913 \nL 235.83134 181.055354 \nL 237.563067 181.666588 \nL 239.456995 182.095919 \nL 241.516511 182.32694 \nL 243.744874 182.34145 \nL 246.144912 182.11944 \nL 248.718655 181.639119 \nL 251.466913 180.877067 \nL 254.38876 179.808522 \nL 257.480944 178.407792 \nL 260.737207 176.648966 \nL 264.147515 174.506821 \nL 267.697192 171.958142 \nL 271.366007 168.98334 \nL 275.127194 165.568528 \nL 278.946524 161.70802 \nL 282.781445 157.407135 \nL 286.580385 152.68531 \nL 290.282412 147.579239 \nL 293.817333 142.145688 \nL 297.106433 136.46368 \nL 300.063983 130.635374 \nL 302.599719 124.785189 \nL 304.622278 119.056625 \nL 306.043611 113.606455 \nL 306.784145 108.596355 \nL 306.778398 104.182411 \nL 305.980425 100.503517 \nL 304.368601 97.670061 \nL 301.94894 95.754716 \nL 298.756534 94.786586 \nL 294.854599 94.749943 \nL 290.331252 95.587773 \nL 285.294251 97.209381 \nL 279.864303 99.500769 \nL 274.167795 102.336029 \nL 268.329712 105.588127 \nL 262.467486 109.137674 \nL 256.686182 112.879063 \nL 251.075366 116.723862 \nL 245.707485 120.601764 \nL 240.637659 124.459702 \nL 235.904535 128.259816 \nL 231.531893 131.976851 \nL 227.530688 135.595445 \nL 223.901255 139.107617 \nL 220.635507 142.510601 \nL 217.718983 145.80512 \nL 215.132662 148.994052 \nL 212.854532 152.081462 \nL 210.860878 155.071965 \nL 209.12732 157.970247 \nL 207.629619 160.780838 \nL 206.344286 163.507965 \nL 205.249012 166.155492 \nL 204.322962 168.726892 \nL 202.903569 173.653477 \nL 201.953699 178.30908 \nL 201.368459 182.711196 \nL 201.068181 186.874538 \nL 200.995095 190.811773 \nL 201.109833 194.533999 \nL 201.388263 198.050915 \nL 201.818879 201.370853 \nL 202.400838 204.500608 \nL 203.142661 207.445149 \nL 204.06152 210.207094 \nL 205.183098 212.785948 \nL 206.541952 215.176981 \nL 208.182334 217.369584 \nL 210.159436 219.344859 \nL 211.294889 220.241997 \nL 212.541012 221.072139 \nL 213.908549 221.828796 \nL 215.40928 222.503997 \nL 217.056074 223.088018 \nL 218.862953 223.569028 \nL 220.845137 223.932699 \nL 223.019066 224.161724 \nL 225.402402 224.235286 \nL 228.013987 224.128421 \nL 230.87374 223.811316 \nL 234.002479 223.248523 \nL 237.421636 222.39812 \nL 241.152818 221.21083 \nL 245.217174 219.629193 \nL 249.634527 217.586845 \nL 254.422173 215.008085 \nL 259.593281 211.807899 \nL 265.154806 207.892797 \nL 271.104809 203.162807 \nL 277.429135 197.515179 \nL 284.097364 190.85039 \nL 291.058039 183.081138 \nL 298.233401 174.14487 \nL 305.513828 164.020197 \nL 312.752642 152.746844 \nL 319.762172 140.447817 \nL 326.312354 127.350743 \nL 332.133566 113.803624 \nL 336.925299 100.2783 \nL 340.372345 87.354423 \nL 342.168836 75.677999 \nL 342.049122 65.893757 \nL 339.821998 58.558622 \nL 335.402466 54.052824 \nL 328.83388 52.511668 \nL 320.294085 53.799338 \nL 310.08195 57.535451 \nL 298.585978 63.167881 \nL 286.241298 70.0704 \nL 273.484221 77.637663 \nL 248.261908 92.837134 \nL 236.38649 99.82749 \nL 225.264512 106.186563 \nL 215.002684 111.862444 \nL 205.649007 116.863319 \nL 189.64477 125.035297 \nL 176.947262 131.204715 \nL 159.315284 139.43244 \nL 150.767959 143.259616 \nL 146.475056 145.037478 \nL 142.932553 146.306001 \nL 139.906577 147.118158 \nL 137.227791 147.5066 \nL 134.780491 147.493767 \nL 132.49309 147.099377 \nL 130.330162 146.346192 \nL 128.285727 145.264721 \nL 126.377438 143.896856 \nL 124.6411 142.298369 \nL 123.125136 140.539934 \nL 121.88468 138.706163 \nL 120.975174 136.892475 \nL 120.445672 135.199608 \nL 120.332251 133.726333 \nL 120.437854 133.100334 \nL 120.652283 132.561186 \nL 120.974112 132.117048 \nL 121.400355 131.77455 \nL 121.92649 131.538644 \nL 122.546483 131.41253 \nL 123.252911 131.397638 \nL 124.889219 131.698567 \nL 126.753938 132.419678 \nL 128.754705 133.517318 \nL 130.795318 134.93191 \nL 132.782413 136.594245 \nL 134.630864 138.431164 \nL 136.267569 140.369834 \nL 137.63342 142.340569 \nL 138.683712 144.278243 \nL 139.387444 146.122677 \nL 139.725917 147.81831 \nL 139.691117 149.313599 \nL 139.284222 150.560431 \nL 138.943849 151.076485 \nL 138.514536 151.513772 \nL 137.998626 151.867163 \nL 137.398942 152.131755 \nL 136.7188 152.302927 \nL 135.133034 152.348258 \nL 133.278916 151.974138 \nL 131.204309 151.160952 \nL 128.968853 149.902334 \nL 126.645203 148.209773 \nL 124.319589 146.117537 \nL 122.091033 143.687083 \nL 120.068694 141.009831 \nL 118.366819 138.206874 \nL 117.097101 135.424366 \nL 116.656118 134.091033 \nL 116.358849 132.823854 \nL 116.21396 131.643075 \nL 116.227981 130.567926 \nL 116.405005 129.616074 \nL 116.746488 128.803101 \nL 117.251089 128.142059 \nL 117.914599 127.643093 \nL 118.729959 127.313198 \nL 119.687424 127.156092 \nL 120.774727 127.172252 \nL 121.977423 127.359022 \nL 123.27923 127.710881 \nL 124.662445 128.219778 \nL 127.59796 129.666298 \nL 130.631162 131.599633 \nL 133.614269 133.907632 \nL 136.415158 136.476513 \nL 138.924078 139.198858 \nL 141.05641 141.977775 \nL 142.752151 144.728023 \nL 143.973082 147.37498 \nL 144.698864 149.852527 \nL 144.873561 151.008824 \nL 144.922825 152.10055 \nL 144.847355 153.120734 \nL 144.648296 154.062502 \nL 144.327176 154.919028 \nL 143.885863 155.683497 \nL 143.326546 156.349082 \nL 142.651745 156.908935 \nL 141.864312 157.356188 \nL 140.967489 157.683981 \nL 139.964948 157.885516 \nL 138.860884 157.954104 \nL 137.660092 157.883287 \nL 136.368081 157.666945 \nL 134.991197 157.299471 \nL 133.536744 156.775954 \nL 132.013125 156.092413 \nL 130.429979 155.246073 \nL 128.798297 154.235657 \nL 127.130575 153.061737 \nL 125.44087 151.727076 \nL 123.744887 150.236995 \nL 122.059997 148.599747 \nL 120.405211 146.826837 \nL 118.801053 144.933285 \nL 117.269394 142.937847 \nL 115.833176 140.863039 \nL 114.516036 138.735071 \nL 113.341814 136.583565 \nL 112.333999 134.441088 \nL 111.515053 132.342444 \nL 110.905706 130.323766 \nL 110.524163 128.421441 \nL 110.385379 126.670886 \nL 110.500316 125.105264 \nL 110.875353 123.754214 \nL 111.511793 122.64272 \nL 112.405587 121.790143 \nL 113.547242 121.209569 \nL 114.921995 120.907457 \nL 116.510176 120.883664 \nL 118.287831 121.13179 \nL 120.227482 121.639853 \nL 122.299024 122.391165 \nL 124.470703 123.365372 \nL 126.710088 124.53954 \nL 128.984996 125.88922 \nL 131.264349 127.389419 \nL 133.518883 129.015443 \nL 137.848676 132.551289 \nL 141.793805 136.325304 \nL 145.222543 140.195045 \nL 146.715035 142.129307 \nL 148.049824 144.04695 \nL 149.222355 145.937506 \nL 150.229946 147.79164 \nL 151.071446 149.600904 \nL 151.746952 151.35756 \nL 152.257509 153.054401 \nL 152.604869 154.684578 \nL 152.791262 156.241443 \nL 152.819207 157.718428 \nL 152.691364 159.108929 \nL 152.410409 160.406181 \nL 151.978958 161.603172 \nL 151.399509 162.692574 \nL 150.674416 163.666662 \nL 149.80591 164.51724 \nL 148.796136 165.235628 \nL 147.647216 165.81262 \nL 146.361347 166.23847 \nL 144.94094 166.502918 \nL 143.388754 166.595256 \nL 141.708103 166.504398 \nL 139.903051 166.219043 \nL 137.978672 165.727863 \nL 135.941312 165.019797 \nL 133.79889 164.084403 \nL 131.561216 162.912295 \nL 129.240319 161.495711 \nL 126.850791 159.829164 \nL 124.410096 157.91022 \nL 121.93888 155.740324 \nL 119.461197 153.325741 \nL 117.004654 150.678478 \nL 114.600461 147.817204 \nL 112.283272 144.768036 \nL 110.090869 141.565131 \nL 108.063617 138.250937 \nL 106.24362 134.876018 \nL 104.673607 131.498333 \nL 103.395601 128.181893 \nL 102.449282 124.994766 \nL 101.870235 122.006519 \nL 101.688115 119.285135 \nL 101.924883 116.893716 \nL 102.593238 114.88713 \nL 103.695403 113.309126 \nL 105.222453 112.189982 \nL 107.154187 111.545101 \nL 109.459661 111.374736 \nL 112.098354 111.664747 \nL 115.02185 112.388343 \nL 118.175942 113.508576 \nL 121.50294 114.981264 \nL 124.944026 116.758037 \nL 128.441497 118.789148 \nL 131.940651 121.025929 \nL 135.391382 123.422659 \nL 138.749275 125.937853 \nL 141.976308 128.534986 \nL 145.041106 131.182751 \nL 147.918898 133.854914 \nL 150.591148 136.529937 \nL 153.045022 139.190425 \nL 155.272714 141.822516 \nL 157.270697 144.415249 \nL 159.038965 146.960005 \nL 160.580301 149.44995 \nL 161.89959 151.879604 \nL 163.003196 154.244465 \nL 163.898412 156.540678 \nL 164.593011 158.764797 \nL 165.094836 160.913563 \nL 165.411506 162.983751 \nL 165.550148 164.972007 \nL 165.517219 166.874749 \nL 165.318361 168.688037 \nL 164.958311 170.407489 \nL 164.44085 172.02816 \nL 163.768772 173.544451 \nL 162.943892 174.950006 \nL 161.967091 176.237599 \nL 160.838353 177.399028 \nL 159.556855 178.424982 \nL 158.12107 179.304927 \nL 156.528878 180.026974 \nL 154.777739 180.577798 \nL 152.864862 180.94249 \nL 150.787439 181.104497 \nL 148.542906 181.045593 \nL 146.129262 180.745865 \nL 143.545445 180.183808 \nL 140.79178 179.336532 \nL 137.870498 178.180098 \nL 134.786338 176.690025 \nL 131.547218 174.842069 \nL 128.165027 172.613218 \nL 124.656432 169.983085 \nL 121.043782 166.935593 \nL 117.35598 163.461093 \nL 113.62937 159.558811 \nL 109.908439 155.239606 \nL 106.246327 150.52886 \nL 102.704983 145.469294 \nL 99.354836 140.123359 \nL 96.273788 134.574792 \nL 93.545445 128.928814 \nL 91.25644 123.310527 \nL 89.492881 117.86103 \nL 88.335924 112.731165 \nL 87.856793 108.072992 \nL 88.111554 104.029662 \nL 89.136225 100.72465 \nL 90.94274 98.251886 \nL 93.516396 96.668096 \nL 96.81527 95.988682 \nL 100.771732 96.187945 \nL 105.296065 97.20339 \nL 110.281823 98.943588 \nL 115.612226 101.298067 \nL 121.166961 104.14776 \nL 126.828559 107.374448 \nL 132.487836 110.868325 \nL 138.048 114.533075 \nL 143.427262 118.288506 \nL 148.560024 122.071056 \nL 153.396875 125.832809 \nL 157.903627 129.539547 \nL 162.059754 133.168318 \nL 165.85645 136.705024 \nL 169.294559 140.142157 \nL 172.38255 143.476894 \nL 175.134636 146.709539 \nL 177.569102 149.842366 \nL 179.706879 152.878761 \nL 181.570356 155.822613 \nL 183.182439 158.677956 \nL 184.565804 161.448687 \nL 185.742349 164.138482 \nL 186.732791 166.750694 \nL 187.556402 169.288362 \nL 188.772054 174.150707 \nL 189.510098 178.744138 \nL 189.864461 183.083691 \nL 189.904212 187.181585 \nL 189.676474 191.047679 \nL 189.209438 194.689611 \nL 188.51501 198.112602 \nL 187.590881 201.318978 \nL 186.421916 204.307336 \nL 184.980872 207.071297 \nL 183.228493 209.597664 \nL 182.219895 210.76513 \nL 181.113043 211.863774 \nL 179.899368 212.888673 \nL 178.569394 213.833755 \nL 177.11269 214.691596 \nL 175.517837 215.453163 \nL 173.772385 216.107528 \nL 171.862841 216.641529 \nL 169.774654 217.039353 \nL 167.492243 217.282096 \nL 164.999043 217.347246 \nL 162.277626 217.208096 \nL 159.309862 216.833112 \nL 156.077207 216.18526 \nL 152.561095 215.221342 \nL 148.743493 213.891336 \nL 144.607672 212.137901 \nL 140.139239 209.896082 \nL 135.327491 207.093439 \nL 130.167166 203.650808 \nL 124.660641 199.48399 \nL 118.820677 194.506768 \nL 112.673686 188.635696 \nL 106.263539 181.797144 \nL 99.65582 173.936986 \nL 92.94221 165.033242 \nL 86.244697 155.111373 \nL 79.718817 144.261377 \nL 73.555075 132.654707 \nL 67.977327 120.557632 \nL 63.236867 108.336605 \nL 59.600968 96.450282 \nL 57.335401 85.423607 \nL 56.681339 75.802105 \nL 57.828666 68.08948 \nL 60.889483 62.678301 \nL 65.876818 59.788511 \nL 72.693727 59.430594 \nL 81.136472 61.405047 \nL 90.912455 65.339793 \nL 101.669947 70.75555 \nL 113.033739 77.141292 \nL 124.639834 84.020989 \nL 157.957259 104.175195 \nL 177.040398 115.43061 \nL 223.788998 142.554877 \nL 241.335643 153.370392 \nL 244.888857 155.111603 \nL 246.578209 155.769938 \nL 248.236522 156.284545 \nL 249.879995 156.652751 \nL 251.521778 156.871331 \nL 253.172155 156.936728 \nL 254.838717 156.845266 \nL 256.526469 156.593396 \nL 258.237936 156.177918 \nL 259.973223 155.596272 \nL 261.730061 154.846832 \nL 263.503849 153.929215 \nL 265.287646 152.844629 \nL 267.07224 151.596265 \nL 268.846157 150.18963 \nL 270.595734 148.632934 \nL 272.305244 146.93742 \nL 273.957043 145.117665 \nL 275.531803 143.191751 \nL 277.0088 141.181378 \nL 278.36634 139.111821 \nL 279.582229 137.011671 \nL 280.634326 134.912448 \nL 281.501232 132.847945 \nL 282.162983 130.853409 \nL 282.601805 128.964512 \nL 282.802888 127.21623 \nL 282.755072 125.64157 \nL 282.451502 124.270386 \nL 281.890107 123.128224 \nL 281.073951 122.235344 \nL 280.011352 121.606035 \nL 278.71577 121.24822 \nL 277.205501 121.163352 \nL 275.503156 121.346736 \nL 273.634934 121.788058 \nL 271.629792 122.472195 \nL 269.518524 123.380204 \nL 267.332794 124.490354 \nL 265.104261 125.779138 \nL 262.863686 127.22228 \nL 260.640263 128.795544 \nL 256.350283 132.239655 \nL 252.417612 135.940172 \nL 248.978326 139.753052 \nL 247.473479 141.664397 \nL 246.122448 143.562399 \nL 244.930365 145.436293 \nL 243.900458 147.276472 \nL 243.034363 149.074256 \nL 242.33241 150.821696 \nL 241.79391 152.511406 \nL 241.417418 154.136409 \nL 241.200938 155.689947 \nL 241.142138 157.165392 \nL 241.238487 158.556089 \nL 241.48739 159.855272 \nL 241.886278 161.055964 \nL 242.432659 162.15089 \nL 243.124161 163.132406 \nL 243.958503 163.992447 \nL 244.933485 164.722468 \nL 246.046914 165.313441 \nL 247.296519 165.755826 \nL 248.679825 166.03959 \nL 250.194011 166.154284 \nL 251.835736 166.089108 \nL 253.600922 165.833034 \nL 255.484533 165.375051 \nL 257.480303 164.704377 \nL 259.580455 163.810816 \nL 261.775397 162.685222 \nL 264.053407 161.319978 \nL 266.40029 159.709646 \nL 268.799077 157.851707 \nL 271.229755 155.747353 \nL 273.669017 153.402371 \nL 276.090127 150.828061 \nL 278.462867 148.042089 \nL 280.753654 145.06927 \nL 282.925863 141.942153 \nL 284.940339 138.701287 \nL 286.756143 135.395093 \nL 288.331638 132.079214 \nL 289.625749 128.81532 \nL 290.599495 125.669236 \nL 291.217684 122.708534 \nL 291.450667 119.999669 \nL 291.27607 117.604769 \nL 290.680295 115.578491 \nL 289.659773 113.965087 \nL 288.221667 112.796111 \nL 286.384086 112.088938 \nL 284.175647 111.846293 \nL 281.634466 112.056857 \nL 278.806579 112.696734 \nL 275.743988 113.731786 \nL 272.502469 115.120329 \nL 269.139279 116.81609 \nL 265.711 118.770929 \nL 262.271619 120.937258 \nL 258.870952 123.269978 \nL 255.553482 125.727808 \nL 252.357625 128.274112 \nL 249.315378 130.877228 \nL 246.452323 133.510408 \nL 243.78791 136.151511 \nL 241.335939 138.782504 \nL 239.105191 141.388904 \nL 237.100133 143.959164 \nL 235.321647 146.484117 \nL 233.767751 148.956464 \nL 232.434267 151.370307 \nL 231.315451 153.72077 \nL 230.404527 156.003691 \nL 229.694153 158.215343 \nL 229.176824 160.352238 \nL 228.845191 162.410946 \nL 228.692314 164.387927 \nL 228.711865 166.279436 \nL 228.898277 168.081398 \nL 229.246831 169.789293 \nL 229.753729 171.398059 \nL 230.416117 172.901995 \nL 231.232076 174.29464 \nL 232.200597 175.568703 \nL 233.321529 176.715895 \nL 234.595505 177.726872 \nL 236.023825 178.591066 \nL 237.608351 179.296613 \nL 239.351338 179.830205 \nL 241.255248 180.177034 \nL 243.322526 180.320704 \nL 245.555336 180.243197 \nL 247.955233 179.924909 \nL 250.522789 179.344752 \nL 253.257156 178.480389 \nL 256.155539 177.308553 \nL 259.212607 175.80563 \nL 262.419814 173.948406 \nL 265.764669 171.715122 \nL 269.229899 169.08681 \nL 272.792625 166.049019 \nL 276.423497 162.593862 \nL 280.085882 158.722411 \nL 283.735233 154.447353 \nL 287.318622 149.795733 \nL 290.774691 144.811588 \nL 294.034052 139.558137 \nL 297.020348 134.119072 \nL 299.652065 128.598545 \nL 301.845218 123.119357 \nL 303.516853 117.819009 \nL 304.589332 112.84351 \nL 304.995161 108.339039 \nL 304.681938 104.44228 \nL 303.616966 101.270241 \nL 301.790979 98.910996 \nL 299.220401 97.416694 \nL 295.94777 96.799962 \nL 292.040118 97.034302 \nL 287.585371 98.058495 \nL 282.687215 99.784057 \nL 277.45892 102.104667 \nL 272.0169 104.906007 \nL 266.474646 108.074694 \nL 260.937555 111.505343 \nL 255.499088 115.105352 \nL 250.238282 118.797385 \nL 245.218622 122.519883 \nL 240.488065 126.226161 \nL 236.079917 129.882598 \nL 232.014356 133.46637 \nL 228.300256 136.963165 \nL 224.937157 140.365077 \nL 221.917217 143.668753 \nL 219.227014 146.873938 \nL 216.849146 149.982359 \nL 214.763623 152.996884 \nL 212.949004 155.920943 \nL 211.383322 158.758134 \nL 210.044808 161.512007 \nL 208.912433 164.185915 \nL 207.966305 166.782921 \nL 207.187936 169.305815 \nL 206.560411 171.7571 \nL 205.698579 176.453499 \nL 205.278954 180.88716 \nL 205.225524 185.069845 \nL 205.485809 189.010471 \nL 206.028091 192.715188 \nL 206.838821 196.187037 \nL 207.920496 199.425294 \nL 209.290192 202.424302 \nL 210.978731 205.171772 \nL 211.955903 206.444937 \nL 213.030502 207.646306 \nL 214.210249 208.771211 \nL 215.503774 209.813899 \nL 216.920643 210.767338 \nL 218.471381 211.622992 \nL 220.167498 212.370556 \nL 222.021496 212.997635 \nL 224.046866 213.489393 \nL 226.258065 213.828135 \nL 228.670453 213.992844 \nL 231.300183 213.958669 \nL 234.164038 213.696353 \nL 237.27917 213.171654 \nL 240.662727 212.344729 \nL 244.331352 211.169596 \nL 248.300474 209.593677 \nL 252.583379 207.557562 \nL 257.190002 204.995132 \nL 262.125351 201.83421 \nL 267.387548 197.99804 \nL 272.965418 193.40789 \nL 278.835568 187.987155 \nL 284.959038 181.667397 \nL 291.277548 174.396646 \nL 297.709578 166.150208 \nL 304.14659 156.943842 \nL 310.449996 146.848656 \nL 316.449596 136.006089 \nL 321.944497 124.640524 \nL 326.707591 113.065715 \nL 330.494703 101.680748 \nL 333.058919 90.951317 \nL 334.170062 81.374082 \nL 333.637776 73.425534 \nL 331.33554 67.502055 \nL 327.221329 63.862681 \nL 321.350542 62.58849 \nL 313.87757 63.570475 \nL 305.044251 66.530436 \nL 295.156925 71.069932 \nL 284.556173 76.734052 \nL 273.585047 83.074166 \nL 251.757264 96.289363 \nL 222.53181 114.084223 \nL 193.695114 131.502801 \nL 183.407703 137.947465 \nL 175.294417 143.299884 \nL 168.863196 147.792764 \nL 157.344052 156.108735 \nL 153.685162 158.407416 \nL 151.934342 159.339627 \nL 150.205575 160.123336 \nL 148.480141 160.754338 \nL 146.742283 161.227511 \nL 144.97905 161.537009 \nL 143.180133 161.676423 \nL 141.337771 161.638964 \nL 139.446691 161.417703 \nL 137.504079 161.005791 \nL 135.509595 160.396787 \nL 133.465418 159.584962 \nL 131.376329 158.565739 \nL 129.249789 157.336156 \nL 127.096036 155.895363 \nL 124.928194 154.245222 \nL 122.762315 152.390909 \nL 120.617403 150.341519 \nL 118.51537 148.110686 \nL 116.480892 145.717113 \nL 114.54115 143.18496 \nL 112.72546 140.544104 \nL 111.064698 137.830082 \nL 109.590583 135.083799 \nL 108.334817 132.350801 \nL 107.328011 129.680212 \nL 106.59857 127.12327 \nL 106.171418 124.731535 \nL 106.066808 122.554849 \nL 106.29914 120.639198 \nL 106.875981 119.024603 \nL 107.797345 117.743306 \nL 109.055272 116.81832 \nL 110.633808 116.262518 \nL 112.509386 116.07847 \nL 114.651591 116.258739 \nL 117.024285 116.786936 \nL 119.586939 117.639165 \nL 122.296189 118.785787 \nL 125.107394 120.193281 \nL 127.976166 121.826122 \nL 130.859709 123.648396 \nL 133.717999 125.625232 \nL 136.514649 127.723816 \nL 139.217536 129.914092 \nL 141.799144 132.169178 \nL 144.236654 134.465494 \nL 146.511851 136.782675 \nL 148.610854 139.103345 \nL 150.523723 141.412816 \nL 152.244008 143.698724 \nL 153.768237 145.950645 \nL 155.095409 148.159727 \nL 156.226494 150.318381 \nL 157.163964 152.419952 \nL 157.911368 154.458484 \nL 158.47296 156.428461 \nL 158.853369 158.324625 \nL 159.057334 160.141802 \nL 159.089481 161.874767 \nL 158.954146 163.518091 \nL 158.655247 165.06603 \nL 158.196202 166.512423 \nL 157.579871 167.850581 \nL 156.808544 169.073203 \nL 155.883957 170.172272 \nL 154.807322 171.138965 \nL 153.579426 171.963588 \nL 152.200708 172.635497 \nL 150.671414 173.143049 \nL 148.991749 173.473557 \nL 147.162076 173.613312 \nL 145.183163 173.547608 \nL 143.056456 173.26084 \nL 140.784395 172.736685 \nL 138.370792 171.958355 \nL 135.821245 170.90899 \nL 133.143589 169.57216 \nL 130.348428 167.932572 \nL 127.449667 165.976933 \nL 124.465054 163.695025 \nL 121.416771 161.080974 \nL 118.331939 158.134765 \nL 115.243058 154.863809 \nL 112.188337 151.284708 \nL 109.211763 147.424873 \nL 106.36294 143.324 \nL 103.696563 139.035131 \nL 101.271412 134.625042 \nL 99.148907 130.173723 \nL 97.391102 125.772764 \nL 96.058213 121.522462 \nL 95.205714 117.527637 \nL 94.881193 113.892329 \nL 95.121206 110.713823 \nL 95.948379 108.076498 \nL 97.369105 106.04617 \nL 99.372131 104.665762 \nL 101.928234 103.952786 \nL 104.991145 103.899089 \nL 108.499587 104.472728 \nL 112.380398 105.621911 \nL 116.552282 107.280144 \nL 120.929921 109.372031 \nL 125.42801 111.818908 \nL 129.964884 114.543798 \nL 134.465505 117.475183 \nL 138.863625 120.549574 \nL 143.103131 123.712831 \nL 147.138608 126.920458 \nL 150.935236 130.137148 \nL 154.468182 133.335815 \nL 157.721621 136.496383 \nL 160.687549 139.604515 \nL 163.364512 142.650356 \nL 165.756314 145.627464 \nL 167.870816 148.531882 \nL 169.718835 151.361406 \nL 171.313167 154.114981 \nL 172.667773 156.792293 \nL 173.797091 159.393426 \nL 174.715487 161.918652 \nL 175.436818 164.368261 \nL 175.974108 166.742431 \nL 176.339299 169.041172 \nL 176.543091 171.264245 \nL 176.594831 173.41113 \nL 176.50245 175.480968 \nL 176.272439 177.472526 \nL 175.909851 179.384118 \nL 175.418321 181.213583 \nL 174.800104 182.95819 \nL 174.056119 184.614559 \nL 173.185996 186.17859 \nL 172.188134 187.645321 \nL 171.059758 189.008829 \nL 169.796976 190.262056 \nL 168.394854 191.39667 \nL 166.847479 192.402869 \nL 165.148049 193.269177 \nL 163.288977 193.982213 \nL 161.262005 194.526455 \nL 159.058366 194.883977 \nL 156.668978 195.034199 \nL 154.084691 194.95362 \nL 151.296605 194.61562 \nL 148.296467 193.990276 \nL 145.077181 193.044317 \nL 141.633429 191.741194 \nL 137.962453 190.041395 \nL 134.064999 187.903079 \nL 129.946435 185.283098 \nL 125.618091 182.138604 \nL 121.098771 178.429305 \nL 116.416439 174.120549 \nL 111.610033 169.187335 \nL 106.731281 163.619246 \nL 101.846372 157.426257 \nL 97.03729 150.645111 \nL 92.40244 143.345725 \nL 88.0563 135.636785 \nL 84.127613 127.669337 \nL 80.755809 119.63702 \nL 78.085322 111.771441 \nL 76.257788 104.331671 \nL 75.4024 97.587568 \nL 75.625071 91.797879 \nL 76.997686 87.185574 \nL 79.548822 83.914243 \nL 83.25762 82.069903 \nL 88.052069 81.652145 \nL 93.81243 82.576706 \nL 100.379567 84.689102 \nL 107.567091 87.786256 \nL 115.175474 91.641794 \nL 123.006173 96.030005 \nL 130.873866 100.745005 \nL 138.615726 105.612959 \nL 146.097063 110.497489 \nL 153.213637 115.299407 \nL 159.891154 119.952653 \nL 166.082746 124.418268 \nL 171.765287 128.677838 \nL 176.935174 132.727457 \nL 181.604101 136.572638 \nL 185.795163 140.224395 \nL 189.539438 143.69635 \nL 192.87315 147.002817 \nL 195.835375 150.157574 \nL 198.466276 153.173171 \nL 200.805774 156.060595 \nL 204.763671 161.486683 \nL 207.994819 166.491983 \nL 216.824797 181.048852 \nL 219.341231 184.361957 \nL 220.681367 185.864667 \nL 222.094543 187.257874 \nL 223.593868 188.534915 \nL 225.192062 189.687758 \nL 226.901548 190.706862 \nL 228.734537 191.580973 \nL 230.703078 192.296924 \nL 232.819036 192.839404 \nL 235.094066 193.190731 \nL 237.539497 193.330613 \nL 240.16616 193.235943 \nL 242.984136 192.880608 \nL 246.002419 192.235369 \nL 249.228439 191.267859 \nL 252.667493 189.942729 \nL 256.321996 188.222031 \nL 260.190591 186.065904 \nL 264.267055 183.433703 \nL 268.539046 180.285635 \nL 272.986634 176.585067 \nL 277.58075 172.30161 \nL 282.281477 167.415046 \nL 287.036412 161.920098 \nL 291.779192 155.83194 \nL 296.42841 149.192098 \nL 300.887229 142.074249 \nL 305.044016 134.589037 \nL 308.774349 126.88682 \nL 311.944736 119.157073 \nL 314.418287 111.623203 \nL 316.062283 104.531853 \nL 316.757367 98.136818 \nL 316.407596 92.678326 \nL 314.950299 88.36049 \nL 312.364298 85.330069 \nL 308.675093 83.660722 \nL 303.955894 83.345966 \nL 298.323976 84.302438 \nL 291.932558 86.383024 \nL 284.959432 89.396937 \nL 277.593822 93.132692 \nL 270.023451 97.379881 \nL 262.423279 101.946336 \nL 254.947122 106.669284 \nL 247.722405 111.420246 \nL 240.848065 116.104867 \nL 234.394997 120.659374 \nL 228.408327 125.045177 \nL 222.910797 129.242967 \nL 217.90665 133.247195 \nL 213.385551 137.061435 \nL 209.326235 140.694692 \nL 205.699702 144.158733 \nL 202.471919 147.466255 \nL 199.605993 150.629683 \nL 197.063872 153.660487 \nL 194.807625 156.568854 \nL 192.800369 159.363531 \nL 189.394083 164.639967 \nL 186.589453 169.533705 \nL 179.771644 182.123031 \nL 177.513845 185.629229 \nL 175.059742 188.765077 \nL 173.72666 190.183711 \nL 172.306417 191.495179 \nL 170.786925 192.692203 \nL 169.156172 193.766067 \nL 167.402138 194.706409 \nL 165.512751 195.501002 \nL 163.475866 196.13551 \nL 161.27929 196.593226 \nL 158.910857 196.854784 \nL 156.358561 196.89789 \nL 153.610765 196.697035 \nL 150.656491 196.223275 \nL 147.485817 195.444064 \nL 144.090404 194.323205 \nL 140.464162 192.820993 \nL 136.604101 190.894603 \nL 132.511364 188.49886 \nL 128.192483 185.587523 \nL 123.660856 182.115177 \nL 118.938428 178.039952 \nL 114.05756 173.327156 \nL 109.063007 167.953982 \nL 104.013873 161.915222 \nL 98.985349 155.229905 \nL 94.069951 147.948406 \nL 89.377936 140.159338 \nL 85.036428 131.995104 \nL 81.186821 123.634721 \nL 77.980068 115.302284 \nL 75.569642 107.259448 \nL 74.102139 99.791103 \nL 73.706099 93.184312 \nL 74.48005 87.702384 \nL 76.481188 83.557534 \nL 79.71655 80.886868 \nL 84.138342 79.736681 \nL 89.644655 80.05862 \nL 96.085898 81.718946 \nL 103.276198 84.518789 \nL 111.008049 88.221067 \nL 119.068053 92.578456 \nL 127.251472 97.357432 \nL 135.37393 102.355278 \nL 143.279279 107.4091 \nL 150.843604 112.397789 \nL 157.975764 117.23875 \nL 164.615391 121.881715 \nL 170.729223 126.301429 \nL 176.306621 130.490598 \nL 181.354919 134.453835 \nL 185.895018 138.202798 \nL 189.9575 141.752694 \nL 193.579338 145.119843 \nL 196.801246 148.320101 \nL 199.665607 151.367984 \nL 202.214913 154.276223 \nL 206.5325 159.715024 \nL 210.061726 164.700769 \nL 218.399977 177.225575 \nL 221.068132 180.593788 \nL 222.465944 182.114938 \nL 223.92682 183.52051 \nL 225.465061 184.803798 \nL 227.094251 185.956725 \nL 228.827379 186.969736 \nL 230.676929 187.831615 \nL 232.654929 188.529299 \nL 234.772953 189.047701 \nL 237.042084 189.369546 \nL 239.472789 189.47516 \nL 242.074763 189.342341 \nL 244.856662 188.946274 \nL 247.82576 188.259482 \nL 250.987494 187.251951 \nL 254.344891 185.891405 \nL 257.897848 184.143786 \nL 261.642292 181.97412 \nL 265.569167 179.347697 \nL 269.663284 176.231813 \nL 273.902032 172.598071 \nL 278.254018 168.425308 \nL 282.677692 163.703262 \nL 287.120025 158.436808 \nL 291.515499 152.650659 \nL 295.785487 146.394196 \nL 299.838355 139.745878 \nL 303.570545 132.816442 \nL 306.868896 125.750052 \nL 309.614428 118.722338 \nL 311.687738 111.934538 \nL 312.975806 105.603207 \nL 313.379952 99.945843 \nL 312.824214 95.163531 \nL 311.263141 91.422686 \nL 308.688029 88.838871 \nL 305.130382 87.465372 \nL 300.661949 87.289034 \nL 295.390963 88.234121 \nL 289.454973 90.173617 \nL 283.011183 92.945462 \nL 276.225606 96.370954 \nL 269.262466 100.2719 \nL 262.275001 104.484318 \nL 255.398527 108.867474 \nL 248.74607 113.308173 \nL 242.406473 117.721045 \nL 236.444585 122.046114 \nL 230.902979 126.244738 \nL 225.804649 130.295071 \nL 221.15618 134.187635 \nL 216.951011 137.92151 \nL 213.172542 141.501215 \nL 209.796899 144.934392 \nL 206.795317 148.230136 \nL 204.136099 151.397896 \nL 201.786166 154.446757 \nL 199.712259 157.385061 \nL 197.881825 160.220253 \nL 194.828247 165.60626 \nL 192.397941 170.645956 \nL 190.396185 175.368487 \nL 184.658868 189.623305 \nL 182.930652 193.066149 \nL 181.002866 196.217769 \nL 179.939673 197.678484 \nL 178.797222 199.057876 \nL 177.565498 200.351392 \nL 176.234185 201.55342 \nL 174.792566 202.657114 \nL 173.229458 203.6542 \nL 171.533133 204.534723 \nL 169.691299 205.286801 \nL 167.691059 205.896296 \nL 165.51894 206.346484 \nL 163.160945 206.617671 \nL 160.602647 206.68677 \nL 157.82937 206.526877 \nL 154.826438 206.106817 \nL 151.579524 205.390722 \nL 148.075146 204.337677 \nL 144.301323 202.901492 \nL 140.248417 201.030682 \nL 135.910246 198.668795 \nL 131.285436 195.755238 \nL 126.379136 192.226791 \nL 121.205056 188.020079 \nL 115.787847 183.07524 \nL 110.165824 177.341102 \nL 104.393899 170.782026 \nL 98.546566 163.386548 \nL 92.720615 155.177595 \nL 87.03718 146.22361 \nL 81.642506 136.649455 \nL 76.706718 126.645093 \nL 72.419812 116.469439 \nL 68.984224 106.446483 \nL 66.603507 96.950856 \nL 65.467433 88.381679 \nL 65.734477 81.125463 \nL 67.513665 75.512673 \nL 70.848677 71.775386 \nL 75.707222 70.015292 \nL 81.978439 70.190251 \nL 89.479581 72.123466 \nL 97.971416 75.533488 \nL 107.179831 80.077545 \nL 116.819858 85.397925 \nL 126.618133 91.161779 \nL 145.75501 102.961236 \nL 163.15809 114.001917 \nL 178.101721 123.700135 \nL 190.427157 132.01585 \nL 200.331968 139.135452 \nL 208.18977 145.285893 \nL 214.429478 150.656344 \nL 219.466896 155.378722 \nL 229.091042 164.76877 \nL 232.467995 167.594575 \nL 234.159447 168.797871 \nL 235.879497 169.853737 \nL 237.645252 170.754778 \nL 239.471747 171.492338 \nL 241.372074 172.056514 \nL 243.357444 172.436166 \nL 245.437237 172.618988 \nL 247.618955 172.591587 \nL 249.908149 172.339598 \nL 252.30827 171.84789 \nL 254.820447 171.100867 \nL 257.443228 170.082852 \nL 260.172237 168.778597 \nL 262.999786 167.174018 \nL 265.914449 165.257013 \nL 268.900585 163.018547 \nL 271.937897 160.453878 \nL 275.000966 157.56402 \nL 278.058918 154.357261 \nL 281.07518 150.850807 \nL 284.007441 147.072359 \nL 286.807894 143.061459 \nL 289.423809 138.870443 \nL 291.798513 134.564768 \nL 293.872876 130.222449 \nL 295.587239 125.932449 \nL 296.883838 121.791836 \nL 297.709571 117.901774 \nL 298.019025 114.362507 \nL 297.777488 111.267633 \nL 296.963683 108.698267 \nL 295.571922 106.717738 \nL 293.613475 105.367522 \nL 291.116819 104.664843 \nL 288.126801 104.602399 \nL 284.702631 105.150219 \nL 280.914981 106.259219 \nL 276.842369 107.866105 \nL 272.567285 109.898849 \nL 268.17232 112.282023 \nL 263.736696 114.941473 \nL 259.33342 117.808031 \nL 255.027149 120.819961 \nL 250.872872 123.924314 \nL 246.915337 127.077275 \nL 243.189098 130.243817 \nL 239.719069 133.396829 \nL 236.521423 136.515972 \nL 233.604713 139.586517 \nL 230.971093 142.59814 \nL 228.61753 145.543898 \nL 226.536983 148.419358 \nL 224.719466 151.221822 \nL 223.152986 153.949808 \nL 221.824353 156.602595 \nL 220.719851 159.179892 \nL 219.825782 161.681623 \nL 219.1289 164.107745 \nL 218.616745 166.458122 \nL 218.277876 168.732457 \nL 218.10205 170.930205 \nL 218.080337 173.050523 \nL 218.205181 175.09222 \nL 218.470435 177.053696 \nL 218.871358 178.932883 \nL 219.404603 180.727186 \nL 220.068177 182.433405 \nL 220.861405 184.047652 \nL 221.784874 185.565236 \nL 222.840377 186.980552 \nL 224.030855 188.286943 \nL 225.360328 189.476556 \nL 226.833818 190.540157 \nL 228.457266 191.466956 \nL 230.237429 192.244389 \nL 232.181766 192.857895 \nL 234.298281 193.290677 \nL 236.595339 193.52346 \nL 239.081439 193.534259 \nL 241.764907 193.298178 \nL 244.653546 192.787244 \nL 247.754146 191.97033 \nL 251.071935 190.813229 \nL 254.609847 189.278901 \nL 258.367678 187.327994 \nL 262.341046 184.919768 \nL 266.520179 182.013426 \nL 270.888545 178.570157 \nL 275.421264 174.555794 \nL 280.083471 169.944365 \nL 284.828579 164.722502 \nL 289.5967 158.894638 \nL 294.313305 152.488838 \nL 298.888434 145.562798 \nL 303.216801 138.209274 \nL 307.179086 130.560046 \nL 310.644801 122.787104 \nL 313.477033 115.099804 \nL 315.539188 107.736808 \nL 316.703508 100.952404 \nL 316.860908 94.99766 \nL 315.931187 90.098102 \nL 313.872262 86.431189 \nL 310.687036 84.107311 \nL 306.426549 83.158157 \nL 301.18854 83.535068 \nL 295.111301 85.117769 \nL 288.363583 87.731828 \nL 281.131966 91.171055 \nL 273.607477 95.220529 \nL 265.973298 99.676409 \nL 258.394847 104.360111 \nL 251.013006 109.126101 \nL 243.940601 113.863873 \nL 237.261738 118.495785 \nL 231.033335 122.97219 \nL 225.288125 127.265629 \nL 220.038387 131.364952 \nL 215.279947 135.270221 \nL 210.995999 138.988515 \nL 207.160551 142.530786 \nL 203.741377 145.909671 \nL 200.702443 149.137968 \nL 198.005827 152.227778 \nL 195.613198 155.190003 \nL 193.486894 158.03413 \nL 189.890287 163.398896 \nL 186.950994 168.370634 \nL 178.859522 182.992705 \nL 176.53104 186.382184 \nL 175.287285 187.935356 \nL 173.973196 189.388353 \nL 172.576305 190.735505 \nL 171.084395 191.969922 \nL 169.485381 193.083321 \nL 167.767219 194.065846 \nL 165.917847 194.905847 \nL 163.925156 195.589643 \nL 161.776998 196.101276 \nL 159.461257 196.422228 \nL 156.965948 196.531147 \nL 154.279409 196.403587 \nL 151.390573 196.011754 \nL 148.289317 195.324337 \nL 144.966963 194.306428 \nL 141.416896 192.919616 \nL 137.63535 191.122296 \nL 133.622386 188.870342 \nL 129.383077 186.118239 \nL 124.928899 182.820758 \nL 120.279339 178.935444 \nL 115.46372 174.425962 \nL 110.523087 169.266432 \nL 105.512185 163.446814 \nL 100.501207 156.979234 \nL 95.577202 149.904878 \nL 90.844696 142.300888 \nL 86.425194 134.286305 \nL 82.455121 126.025664 \nL 79.081755 117.728738 \nL 76.456908 109.644903 \nL 74.728267 102.050818 \nL 74.028823 95.23154 \nL 74.465172 89.456079 \nL 76.106075 84.950536 \nL 78.972922 81.873176 \nL 83.033865 80.296261 \nL 88.202955 80.198825 \nL 94.344912 81.472063 \nL 101.285038 83.936453 \nL 108.822941 87.366796 \nL 116.747899 91.519782 \nL 124.853702 96.159182 \nL 132.951126 101.074722 \nL 140.876839 106.093314 \nL 148.498457 111.082888 \nL 155.716054 115.950552 \nL 162.46086 120.637275 \nL 168.692068 125.110872 \nL 174.392619 129.358937 \nL 179.564617 133.38255 \nL 184.224894 137.191149 \nL 188.400997 140.798672 \nL 192.127762 144.220862 \nL 195.444499 147.473454 \nL 198.392777 150.571153 \nL 201.014724 153.527013 \nL 203.351791 156.352257 \nL 207.328802 161.646469 \nL 210.615912 166.508159 \nL 217.369441 176.928765 \nL 219.973942 180.405009 \nL 221.330195 181.985506 \nL 222.743333 183.454807 \nL 224.227848 184.806904 \nL 225.797495 186.034512 \nL 227.465434 187.128927 \nL 229.244333 188.079868 \nL 231.146438 188.875312 \nL 233.183609 189.501293 \nL 235.367291 189.941725 \nL 237.708441 190.178184 \nL 240.217411 190.189753 \nL 242.903719 189.952865 \nL 245.775763 189.441223 \nL 248.840429 188.625808 \nL 252.10258 187.475033 \nL 255.564424 185.955074 \nL 259.224727 184.030505 \nL 263.077887 181.665227 \nL 267.112845 178.823925 \nL 271.311822 175.47399 \nL 275.648992 171.588132 \nL 280.089029 167.147672 \nL 284.585677 162.14655 \nL 289.08049 156.595906 \nL 293.501843 150.529107 \nL 297.764552 144.006665 \nL 301.770248 137.12051 \nL 305.408922 129.996721 \nL 308.561823 122.795691 \nL 311.105991 115.708724 \nL 312.920369 108.950257 \nL 313.893402 102.745515 \nL 313.931528 97.314118 \nL 312.967783 92.851345 \nL 310.969443 89.50952 \nL 307.943483 87.382726 \nL 303.938871 86.497684 \nL 299.04503 86.812815 \nL 293.38642 88.225594 \nL 287.113899 90.586915 \nL 280.39401 93.719487 \nL 273.397613 97.436828 \nL 266.289395 101.559911 \nL 259.219249 105.9294 \nL 252.316228 110.412818 \nL 245.685211 114.906974 \nL 239.405956 119.336781 \nL 233.534127 123.65174 \nL 228.103599 127.82132 \nL 223.129558 131.83016 \nL 218.611877 135.673725 \nL 214.538446 139.354619 \nL 210.888236 142.879785 \nL 207.633978 146.258389 \nL 204.744407 149.500413 \nL 202.186069 152.615726 \nL 199.924749 155.61353 \nL 197.92653 158.502103 \nL 196.158567 161.288688 \nL 193.190361 166.579786 \nL 190.794249 171.525594 \nL 187.861543 178.352318 \nL 184.416612 186.418895 \nL 182.63504 190.01547 \nL 180.688414 193.311462 \nL 178.49194 196.288268 \nL 177.274073 197.647879 \nL 175.962459 198.914908 \nL 174.546305 200.082889 \nL 173.014471 201.143985 \nL 171.355399 202.088782 \nL 169.55706 202.906036 \nL 167.606932 203.582399 \nL 165.492003 204.10209 \nL 163.198809 204.44655 \nL 160.713535 204.594061 \nL 158.022154 204.519346 \nL 155.110665 204.193165 \nL 151.965419 203.581931 \nL 148.573567 202.647379 \nL 144.923651 201.346362 \nL 141.006395 199.63082 \nL 136.815695 197.448071 \nL 132.349877 194.741542 \nL 127.613247 191.45209 \nL 122.617927 187.520194 \nL 117.386067 182.88921 \nL 111.952283 177.509909 \nL 106.36636 171.346576 \nL 100.696005 164.384676 \nL 95.029395 156.639995 \nL 89.477185 148.168731 \nL 84.173412 139.077578 \nL 79.274733 129.532118 \nL 74.957239 119.76144 \nL 71.410254 110.056227 \nL 68.826687 100.757906 \nL 67.389992 92.237302 \nL 67.258464 84.863142 \nL 68.548541 78.963456 \nL 71.319361 74.786098 \nL 75.561453 72.466237 \nL 81.192075 72.0085 \nL 88.058802 73.288835 \nL 95.951344 76.076066 \nL 104.619846 80.067895 \nL 113.796612 84.932955 \nL 123.217599 90.349767 \nL 132.640625 96.035911 \nL 150.704929 107.37004 \nL 166.837942 117.817562 \nL 180.525461 126.996424 \nL 191.730064 134.935807 \nL 196.471924 138.496536 \nL 200.698773 141.819265 \nL 204.460828 144.92829 \nL 210.797924 150.587883 \nL 215.887922 155.608016 \nL 221.975067 162.110971 \nL 225.442873 165.812577 \nL 228.723736 169.00915 \nL 230.356052 170.41096 \nL 232.011069 171.675271 \nL 233.707177 172.795547 \nL 235.460838 173.763916 \nL 237.286749 174.571163 \nL 239.197946 175.206675 \nL 241.205889 175.658463 \nL 243.320463 175.913124 \nL 245.549941 175.955886 \nL 247.900881 175.770664 \nL 250.377961 175.340218 \nL 252.98373 174.646371 \nL 255.718305 173.670352 \nL 258.57898 172.393277 \nL 261.559763 170.796824 \nL 264.650858 168.864094 \nL 267.838093 166.580713 \nL 271.102299 163.936224 \nL 274.418734 160.925664 \nL 277.7565 157.551434 \nL 281.078099 153.82532 \nL 284.339158 149.770553 \nL 287.488442 145.423784 \nL 290.468232 140.836693 \nL 293.215167 136.076991 \nL 295.661663 131.228457 \nL 297.737945 126.389717 \nL 299.374715 121.671526 \nL 300.506407 117.192389 \nL 301.074808 113.072693 \nL 301.032921 109.427684 \nL 300.348574 106.359906 \nL 299.007526 103.951986 \nL 297.015616 102.260701 \nL 294.399603 101.313146 \nL 291.206575 101.105629 \nL 287.501841 101.605489 \nL 283.365527 102.755352 \nL 278.888191 104.479348 \nL 274.16596 106.690218 \nL 269.295625 109.296397 \nL 264.370225 112.208176 \nL 259.475352 115.342552 \nL 254.686488 118.626323 \nL 250.067331 121.997796 \nL 245.66911 125.407026 \nL 241.530691 128.815176 \nL 237.679343 132.193235 \nL 234.131903 135.520466 \nL 230.896207 138.782759 \nL 227.972626 141.97112 \nL 225.355561 145.080341 \nL 223.034877 148.107886 \nL 220.997168 151.05304 \nL 219.226868 153.916238 \nL 217.707187 156.69861 \nL 216.42087 159.401612 \nL 215.350812 162.026801 \nL 214.480524 164.575702 \nL 213.79448 167.049699 \nL 213.278375 169.449986 \nL 212.919282 171.777507 \nL 212.705763 174.032967 \nL 212.627911 176.216801 \nL 212.677366 178.329137 \nL 212.847297 180.369804 \nL 213.132369 182.338284 \nL 213.528694 184.233691 \nL 214.033776 186.054706 \nL 214.64646 187.799542 \nL 215.366872 189.465859 \nL 216.196366 191.050692 \nL 217.137479 192.550347 \nL 218.193887 193.960292 \nL 219.370356 195.275019 \nL 220.672708 196.487893 \nL 222.10778 197.590962 \nL 223.683383 198.574763 \nL 225.408247 199.428081 \nL 227.291954 200.137696 \nL 229.344863 200.688078 \nL 231.57798 201.061075 \nL 234.002828 201.235587 \nL 236.631223 201.187201 \nL 239.475007 200.887851 \nL 242.545682 200.305512 \nL 245.853951 199.403944 \nL 249.409088 198.14259 \nL 253.218181 196.476634 \nL 257.285156 194.357397 \nL 261.609565 191.733114 \nL 266.185149 188.550327 \nL 270.998106 184.756033 \nL 276.025098 180.300808 \nL 281.231025 175.143057 \nL 286.566661 169.254621 \nL 291.966255 162.627671 \nL 297.345407 155.282784 \nL 302.599477 147.277689 \nL 307.603054 138.715737 \nL 312.210939 129.752765 \nL 316.261312 120.60036 \nL 319.581516 111.523503 \nL 321.996787 102.830459 \nL 323.341846 94.853914 \nL 323.474625 87.923739 \nL 322.290772 82.33401 \nL 319.736975 78.309418 \nL 315.820701 75.977507 \nL 310.614349 75.352895 \nL 304.252428 76.337756 \nL 296.921713 78.738732 \nL 288.84574 82.296346 \nL 280.266227 86.720178 \nL 271.424234 91.722602 \nL 262.543813 97.045126 \nL 253.819969 102.474618 \nL 237.438655 113.057733 \nL 223.097316 122.732115 \nL 211.087072 131.295947 \nL 205.942507 135.178683 \nL 201.333526 138.820355 \nL 197.220089 142.242452 \nL 193.557158 145.465822 \nL 190.297294 148.509433 \nL 184.796154 154.120683 \nL 180.350422 159.176607 \nL 174.956592 165.846054 \nL 170.303869 171.481454 \nL 167.266722 174.650822 \nL 165.704855 176.047714 \nL 164.090522 177.311369 \nL 162.407895 178.434087 \nL 160.642456 179.406771 \nL 158.780876 180.218808 \nL 156.81094 180.85798 \nL 154.721525 181.310389 \nL 152.502621 181.560353 \nL 150.145422 181.590384 \nL 147.642492 181.381165 \nL 144.98799 180.911617 \nL 142.177983 180.159062 \nL 139.210856 179.099528 \nL 136.087812 177.708202 \nL 132.813464 175.960115 \nL 129.396551 173.8311 \nL 125.850696 171.299075 \nL 122.195279 168.345675 \nL 118.456317 164.958314 \nL 114.667355 161.132594 \nL 110.870242 156.875084 \nL 107.115736 152.206308 \nL 103.463799 147.163761 \nL 99.983412 141.804594 \nL 96.751811 136.207607 \nL 93.852906 130.473988 \nL 91.374828 124.726336 \nL 89.40653 119.105402 \nL 88.033438 113.764361 \nL 87.33244 108.860615 \nL 87.366463 104.545622 \nL 88.179191 100.953714 \nL 89.790552 98.191331 \nL 92.193539 96.328151 \nL 95.352946 95.39171 \nL 99.206315 95.366266 \nL 103.66715 96.196267 \nL 108.630001 97.79369 \nL 113.976942 100.048044 \nL 119.584589 102.837267 \nL 125.330945 106.038069 \nL 131.101315 109.534396 \nL 136.792962 113.223331 \nL 142.318167 117.0184 \nL 147.605808 120.850553 \nL 152.60159 124.667406 \nL 157.267243 128.431295 \nL 161.578997 132.116844 \nL 165.525613 135.708343 \nL 169.106265 139.197343 \nL 172.328403 142.580559 \nL 175.205768 145.858212 \nL 177.756614 149.032694 \nL 180.002182 152.107655 \nL 181.965428 155.087316 \nL 183.670008 157.976059 \nL 185.139472 160.778148 \nL 186.396668 163.497574 \nL 187.4633 166.138005 \nL 188.359643 168.702742 \nL 189.714344 173.616766 \nL 190.589276 178.26003 \nL 191.085672 182.649135 \nL 191.27956 186.797866 \nL 191.224859 190.717852 \nL 190.956651 194.418892 \nL 190.49413 197.909007 \nL 189.842981 201.194264 \nL 188.997098 204.278364 \nL 187.93963 207.161972 \nL 186.643394 209.8417 \nL 185.070714 212.30861 \nL 183.17273 214.546051 \nL 182.083151 215.570665 \nL 180.888266 216.526533 \nL 179.57826 217.407797 \nL 178.142354 218.207257 \nL 176.568749 218.916132 \nL 174.844581 219.523749 \nL 172.955882 220.017205 \nL 170.887556 220.380939 \nL 168.623383 220.596277 \nL 166.146046 220.640868 \nL 163.437225 220.488076 \nL 160.477746 220.106302 \nL 157.247821 219.458233 \nL 153.727413 218.500089 \nL 149.896773 217.180865 \nL 145.737172 215.441675 \nL 141.23191 213.215292 \nL 136.367652 210.426074 \nL 131.136195 206.99048 \nL 125.536699 202.818531 \nL 119.578508 197.816579 \nL 113.28458 191.891947 \nL 106.695514 184.959933 \nL 99.874162 176.953766 \nL 92.910537 167.837816 \nL 85.926598 157.624107 \nL 79.08033 146.391251 \nL 72.567985 134.30392 \nL 66.623282 121.629386 \nL 61.512108 108.746109 \nL 57.52113 96.138265 \nL 54.939671 84.370499 \nL 54.034851 74.03973 \nL 55.0222 65.706646 \nL 58.03555 59.816934 \nL 63.102063 56.629202 \nL 70.128374 56.169509 \nL 78.902509 58.227119 \nL 89.112764 62.394895 \nL 100.380461 68.143278 \nL 112.299825 74.906664 \nL 136.561737 89.471669 \nL 159.376476 103.113508 \nL 179.288862 114.543627 \nL 195.807403 123.62268 \nL 241.463247 148.029793 \nL 245.366468 149.909014 \nL 248.786611 151.252669 \nL 251.917708 152.076127 \nL 253.419398 152.293532 \nL 254.895799 152.380816 \nL 256.356266 152.337332 \nL 257.807508 152.16256 \nL 259.253765 151.856279 \nL 260.696958 151.418812 \nL 262.136838 150.851233 \nL 263.571099 150.155591 \nL 264.99548 149.33512 \nL 267.788578 147.339869 \nL 270.44785 144.923014 \nL 272.882616 142.172826 \nL 274.986385 139.210627 \nL 276.645766 136.188545 \nL 277.274252 134.709177 \nL 277.751874 133.28154 \nL 278.067895 131.928762 \nL 278.213535 130.673353 \nL 278.182363 129.536577 \nL 277.970625 128.537794 \nL 277.577512 127.69387 \nL 277.005342 127.018677 \nL 276.259599 126.52269 \nL 275.34891 126.212724 \nL 274.284886 126.091861 \nL 273.081834 126.159505 \nL 271.756422 126.41157 \nL 270.327211 126.840842 \nL 268.814196 127.437397 \nL 265.620698 129.082167 \nL 262.344663 131.23181 \nL 259.146262 133.761129 \nL 256.165764 136.546488 \nL 253.516933 139.473968 \nL 251.284949 142.443034 \nL 249.527934 145.366854 \nL 248.280793 148.170467 \nL 247.560091 150.787955 \nL 247.398524 152.008015 \nL 247.36891 153.159377 \nL 247.470214 154.235028 \nL 247.701014 155.228007 \nL 248.059566 156.131345 \nL 248.543846 156.93803 \nL 249.151566 157.640973 \nL 249.880181 158.233001 \nL 250.726842 158.706838 \nL 251.688368 159.05514 \nL 252.761173 159.270537 \nL 253.941169 159.345703 \nL 255.223668 159.273456 \nL 256.603255 159.046885 \nL 258.073647 158.659532 \nL 259.627543 158.105585 \nL 261.256465 157.380151 \nL 262.950598 156.479553 \nL 264.698621 155.401664 \nL 266.487559 154.146297 \nL 268.302665 152.71563 \nL 270.127325 151.114616 \nL 271.943 149.351442 \nL 273.729254 147.437935 \nL 275.46384 145.38989 \nL 277.12288 143.227347 \nL 278.681163 140.974712 \nL 280.112558 138.660679 \nL 281.390541 136.317986 \nL 282.488839 133.982841 \nL 283.382186 131.694184 \nL 284.047182 129.492616 \nL 284.463172 127.419126 \nL 284.613134 125.513653 \nL 284.484532 123.813552 \nL 284.070051 122.352106 \nL 283.368158 121.157132 \nL 282.383455 120.249888 \nL 281.126749 119.644261 \nL 279.614887 119.346439 \nL 277.870262 119.354957 \nL 275.920094 119.661196 \nL 273.795526 120.250237 \nL 271.530528 121.101964 \nL 269.16076 122.192328 \nL 266.722423 123.494694 \nL 264.251185 124.981065 \nL 261.781228 126.623232 \nL 259.344446 128.393682 \nL 256.969844 130.266334 \nL 254.683126 132.216994 \nL 252.506465 134.223674 \nL 250.458443 136.266689 \nL 248.554139 138.328614 \nL 246.805317 140.394172 \nL 245.220715 142.450037 \nL 243.806377 144.484578 \nL 242.566023 146.487606 \nL 241.501418 148.450146 \nL 240.612746 150.364172 \nL 239.898952 152.222391 \nL 239.358072 154.018022 \nL 238.987505 155.744647 \nL 238.784257 157.396022 \nL 238.745157 158.965941 \nL 238.86701 160.448117 \nL 239.146729 161.836057 \nL 239.581426 163.122969 \nL 240.168465 164.301672 \nL 240.905488 165.364491 \nL 241.7904 166.303221 \nL 242.821333 167.109038 \nL 243.996576 167.772479 \nL 245.314474 168.283384 \nL 246.773295 168.630928 \nL 248.371076 168.803624 \nL 250.105427 168.789387 \nL 251.973304 168.575658 \nL 253.970753 168.149577 \nL 256.092618 167.49822 \nL 258.332203 166.608957 \nL 260.680929 165.469883 \nL 263.127956 164.070379 \nL 265.659756 162.401798 \nL 268.259762 160.458278 \nL 270.907933 158.237698 \nL 273.58046 155.742741 \nL 276.249461 152.982009 \nL 278.882853 149.971177 \nL 281.444355 146.734098 \nL 283.893679 143.303679 \nL 286.187044 139.72251 \nL 288.277907 136.043004 \nL 290.118089 132.326922 \nL 291.659227 128.644225 \nL 292.854537 125.071047 \nL 293.660843 121.686928 \nL 294.040748 118.571325 \nL 293.964838 115.799624 \nL 293.41371 113.439052 \nL 292.379653 111.544794 \nL 290.867738 110.156795 \nL 288.896278 109.297639 \nL 286.496453 108.971769 \nL 283.711165 109.166045 \nL 280.59319 109.85162 \nL 277.202741 110.986933 \nL 273.604747 112.521197 \nL 269.86599 114.398248 \nL 266.052369 116.560102 \nL 262.226533 118.950032 \nL 258.445912 121.514965 \nL 254.761333 124.2071 \nL 251.21616 126.984792 \nL 247.845929 129.812818 \nL 244.678436 132.662179 \nL 241.73414 135.509556 \nL 239.026851 138.336604 \nL 236.564519 141.129163 \nL 234.35015 143.876449 \nL 232.382701 146.570363 \nL 230.657958 149.204837 \nL 229.169333 151.775301 \nL 227.908611 154.27824 \nL 226.86656 156.710855 \nL 226.033472 159.07078 \nL 225.399602 161.355846 \nL 224.955528 163.563941 \nL 224.692424 165.692837 \nL 224.602276 167.740116 \nL 224.678028 169.703039 \nL 224.913693 171.578465 \nL 225.304408 173.362769 \nL 225.846471 175.051739 \nL 226.537339 176.640491 \nL 227.375606 178.123347 \nL 228.360962 179.493757 \nL 229.494138 180.744146 \nL 230.776827 181.865792 \nL 232.211584 182.848687 \nL 233.801729 183.681377 \nL 235.551192 184.350827 \nL 237.464361 184.842253 \nL 239.545874 185.138986 \nL 241.80039 185.222347 \nL 244.232293 185.071581 \nL 246.845338 184.663796 \nL 249.642234 183.974068 \nL 252.62414 182.9756 \nL 255.79006 181.640089 \nL 259.13614 179.938286 \nL 262.65486 177.840877 \nL 266.334117 175.319684 \nL 270.156184 172.349307 \nL 274.096632 168.909229 \nL 278.123203 164.98643 \nL 282.194724 160.578494 \nL 286.260141 155.697129 \nL 290.257852 150.371907 \nL 294.115482 144.653938 \nL 297.750259 138.618948 \nL 301.070273 132.369284 \nL 303.976754 126.034012 \nL 306.367518 119.76652 \nL 308.141632 113.739053 \nL 309.205095 108.133973 \nL 309.477289 103.132077 \nL 308.89759 98.898997 \nL 307.431368 95.57123 \nL 305.074665 93.243999 \nL 301.85666 91.96278 \nL 297.839476 91.720236 \nL 293.115114 92.459065 \nL 287.799808 94.080281 \nL 282.026435 96.45532 \nL 275.935995 99.439873 \nL 269.669137 102.887202 \nL 263.358687 106.659107 \nL 257.123787 110.633712 \nL 251.065971 114.709686 \nL 245.267162 118.80741 \nL 239.789353 122.867895 \nL 234.675615 126.85016 \nL 229.951985 130.727976 \nL 225.62987 134.486513 \nL 221.70865 138.119275 \nL 218.178242 141.625491 \nL 215.021457 145.00806 \nL 212.216093 148.27203 \nL 209.736705 151.423484 \nL 207.556047 154.468823 \nL 205.646229 157.4143 \nL 203.979597 160.265754 \nL 202.529378 163.028512 \nL 201.270141 165.707338 \nL 199.231246 170.829544 \nL 197.694627 175.66054 \nL 196.521613 180.222536 \nL 195.206964 186.599649 \nL 191.913607 204.335056 \nL 191.120752 207.301348 \nL 190.201525 210.087307 \nL 189.120045 212.693941 \nL 187.836118 215.118545 \nL 186.303257 217.353326 \nL 184.466636 219.383339 \nL 183.414474 220.314232 \nL 182.260934 221.183531 \nL 180.995834 221.985821 \nL 179.608045 222.714417 \nL 178.085416 223.361111 \nL 176.414708 223.915883 \nL 174.581527 224.366548 \nL 172.570279 224.698341 \nL 170.364139 224.89343 \nL 167.94505 224.930354 \nL 165.293774 224.78337 \nL 162.389993 224.421738 \nL 159.212498 223.808891 \nL 155.739492 222.901583 \nL 151.949059 221.64899 \nL 147.819812 219.991863 \nL 143.331816 217.86181 \nL 138.46785 215.180882 \nL 133.215085 211.861672 \nL 127.567273 207.808262 \nL 121.527538 202.918434 \nL 115.111864 197.087686 \nL 108.353311 190.215678 \nL 101.306944 182.215846 \nL 94.055301 173.028704 \nL 86.714046 162.639125 \nL 79.437191 151.097197 \nL 72.420866 138.541024 \nL 65.904313 125.218188 \nL 60.166283 111.500595 \nL 55.515207 97.885782 \nL 52.271557 84.976951 \nL 50.742127 73.436512 \nL 51.187636 63.913092 \nL 53.787749 56.951056 \nL 58.609509 52.900952 \nL 65.586904 51.855043 \nL 74.517675 53.628939 \nL 85.080317 57.797736 \nL 96.868751 63.777107 \nL 109.437497 70.925148 \nL 159.540693 100.802599 \nL 170.609033 107.064117 \nL 180.793382 112.624096 \nL 190.055125 117.500916 \nL 205.859966 125.424556 \nL 218.366043 131.363336 \nL 232.141801 137.627432 \nL 241.593354 141.75186 \nL 248.249507 144.418508 \nL 251.690396 145.566789 \nL 254.609665 146.28088 \nL 257.171125 146.596854 \nL 259.48648 146.54109 \nL 261.624988 146.137347 \nL 263.621539 145.412143 \nL 265.483506 144.398834 \nL 267.196731 143.140633 \nL 268.731045 141.692394 \nL 270.045736 140.12096 \nL 271.095164 138.503837 \nL 271.834576 136.925978 \nL 272.225945 135.474854 \nL 272.243423 134.234209 \nL 272.108339 133.716317 \nL 271.877835 133.277379 \nL 271.553859 132.92392 \nL 271.139674 132.661132 \nL 270.639819 132.492768 \nL 269.407324 132.446969 \nL 267.915443 132.787186 \nL 266.237029 133.492308 \nL 264.453353 134.52307 \nL 262.648317 135.826891 \nL 260.903009 137.342893 \nL 259.291386 139.006445 \nL 257.877132 140.752677 \nL 256.712008 142.518864 \nL 255.835393 144.245728 \nL 255.274707 145.877929 \nL 255.046405 147.364062 \nL 255.157138 148.65637 \nL 255.60482 149.710542 \nL 256.379381 150.485673 \nL 257.46309 150.944669 \nL 258.830401 151.055202 \nL 260.447376 150.791333 \nL 262.270785 150.135882 \nL 264.247098 149.083506 \nL 266.31171 147.644329 \nL 268.388659 145.84778 \nL 270.391466 143.745987 \nL 272.225377 141.415888 \nL 273.791515 138.958978 \nL 274.992959 136.497838 \nL 275.742608 134.168718 \nL 275.925645 133.097339 \nL 275.97199 132.110572 \nL 275.877411 131.224006 \nL 275.639818 130.451709 \nL 275.259405 129.805832 \nL 274.738744 129.29628 \nL 274.082779 128.930491 \nL 273.298765 128.713264 \nL 272.396137 128.646718 \nL 271.386291 128.730334 \nL 270.282337 128.961092 \nL 267.851104 129.840866 \nL 265.228714 131.221607 \nL 262.546694 133.017535 \nL 259.931307 135.132092 \nL 257.495328 137.46682 \nL 255.332839 139.927585 \nL 253.517066 142.427989 \nL 252.100734 144.890396 \nL 251.118158 147.245403 \nL 250.588212 149.430378 \nL 250.517485 151.387684 \nL 250.653715 152.263885 \nL 250.903016 153.062962 \nL 251.263855 153.778432 \nL 251.734296 154.403869 \nL 252.312012 154.932925 \nL 252.994285 155.359328 \nL 253.777961 155.67691 \nL 254.65943 155.879645 \nL 255.634552 155.961713 \nL 256.698606 155.91759 \nL 257.846199 155.742163 \nL 259.071172 155.430861 \nL 260.366515 154.979805 \nL 263.135371 153.647663 \nL 266.075724 151.736803 \nL 269.090932 149.264371 \nL 272.063298 146.282268 \nL 274.854993 142.885019 \nL 276.135501 141.073143 \nL 277.312431 139.214362 \nL 278.365559 137.333558 \nL 279.275042 135.457928 \nL 280.02193 133.616447 \nL 280.588724 131.839189 \nL 280.959999 130.156465 \nL 281.122973 128.597932 \nL 281.068067 127.191594 \nL 280.789398 125.962828 \nL 280.285169 124.933513 \nL 279.557896 124.121237 \nL 278.614527 123.538731 \nL 277.466343 123.193544 \nL 276.1287 123.08793 \nL 274.620629 123.219039 \nL 272.964273 123.579297 \nL 271.184191 124.15702 \nL 269.306658 124.937112 \nL 267.358878 125.901891 \nL 265.36825 127.031884 \nL 261.364821 129.705341 \nL 257.494968 132.793432 \nL 253.925743 136.142899 \nL 250.785694 139.620232 \nL 248.164404 143.114023 \nL 246.116769 146.532946 \nL 245.317416 148.19026 \nL 244.669879 149.801528 \nL 244.174453 151.358989 \nL 243.830622 152.855274 \nL 243.637247 154.283295 \nL 243.592737 155.636081 \nL 243.695185 156.906723 \nL 243.942489 158.08826 \nL 244.332414 159.173578 \nL 244.862656 160.155375 \nL 245.530859 161.026087 \nL 246.334618 161.77785 \nL 247.271439 162.40247 \nL 248.338686 162.89142 \nL 249.533496 163.235867 \nL 250.852664 163.426697 \nL 252.29251 163.4546 \nL 253.848722 163.310191 \nL 255.51616 162.984168 \nL 257.288663 162.467518 \nL 259.158812 161.751802 \nL 261.117688 160.829487 \nL 263.154631 159.694396 \nL 265.256975 158.342146 \nL 267.409803 156.770755 \nL 269.59573 154.981251 \nL 271.794729 152.978359 \nL 273.984007 150.771157 \nL 276.137973 148.373797 \nL 278.228321 145.806074 \nL 280.224242 143.093906 \nL 282.092821 140.269581 \nL 283.799602 137.371758 \nL 285.309363 134.445036 \nL 286.587073 131.539188 \nL 287.599043 128.707894 \nL 288.314205 126.007045 \nL 288.705492 123.492686 \nL 288.751192 121.218666 \nL 288.436225 119.234179 \nL 287.753213 117.581452 \nL 286.703246 116.293663 \nL 285.296298 115.393422 \nL 283.551126 114.891963 \nL 281.494794 114.788962 \nL 279.161697 115.073203 \nL 276.592248 115.723871 \nL 273.83127 116.71234 \nL 270.926253 118.004282 \nL 267.925611 119.561768 \nL 264.876979 121.345409 \nL 261.825776 123.316092 \nL 258.813988 125.436453 \nL 255.879277 127.67189 \nL 253.054419 129.991233 \nL 250.367012 132.367037 \nL 247.839473 134.775612 \nL 245.489231 137.196833 \nL 243.3291 139.613824 \nL 241.367744 142.012529 \nL 239.610236 144.381321 \nL 238.058622 146.710543 \nL 236.712498 148.99212 \nL 235.569542 151.219201 \nL 234.626029 153.385828 \nL 233.877267 155.486685 \nL 233.317999 157.516851 \nL 232.942724 159.471621 \nL 232.745981 161.346315 \nL 232.722562 163.136142 \nL 232.86769 164.836081 \nL 233.177129 166.440763 \nL 233.647282 167.944341 \nL 234.27523 169.340407 \nL 235.058742 170.621882 \nL 235.996266 171.780936 \nL 237.086875 172.808865 \nL 238.33019 173.696017 \nL 239.726284 174.431697 \nL 241.275543 175.004102 \nL 242.97851 175.400254 \nL 244.835677 175.605993 \nL 246.847256 175.60595 \nL 249.012899 175.383634 \nL 251.331374 174.921558 \nL 253.800182 174.201451 \nL 256.415134 173.204591 \nL 259.169859 171.912309 \nL 262.055264 170.306623 \nL 265.058939 168.37111 \nL 268.164532 166.091993 \nL 271.351108 163.459468 \nL 274.592521 160.469289 \nL 277.856841 157.124554 \nL 281.105897 153.437644 \nL 284.295012 149.432207 \nL 287.373027 145.145023 \nL 290.282662 140.627508 \nL 292.961376 135.94658 \nL 295.342768 131.184632 \nL 297.358563 126.438257 \nL 298.941216 121.815501 \nL 300.027056 117.43163 \nL 300.559803 113.403396 \nL 300.494252 109.84226 \nL 299.799729 106.847188 \nL 298.463041 104.497763 \nL 296.490489 102.848534 \nL 293.908636 101.925453 \nL 290.763681 101.72488 \nL 287.119404 102.215225 \nL 283.053873 103.341194 \nL 278.655238 105.029619 \nL 274.01703 107.196272 \nL 269.23347 109.752619 \nL 264.395194 112.61174 \nL 259.58571 115.692947 \nL 254.878799 118.924894 \nL 250.336882 122.247164 \nL 246.010339 125.610612 \nL 241.937571 128.976792 \nL 238.145724 132.31677 \nL 234.651787 135.609656 \nL 231.46396 138.841025 \nL 228.58313 142.0015 \nL 226.004315 145.085456 \nL 223.718057 148.089931 \nL 221.711649 151.013802 \nL 219.970225 153.857138 \nL 218.477672 156.620703 \nL 217.217387 159.30564 \nL 216.172871 161.913231 \nL 215.328204 164.444729 \nL 214.668391 166.901256 \nL 214.179613 169.283766 \nL 213.849397 171.592966 \nL 213.666726 173.829305 \nL 213.622091 175.992962 \nL 213.707506 178.083794 \nL 213.916498 180.101332 \nL 214.244081 182.044725 \nL 214.686701 183.912722 \nL 215.2422 185.703596 \nL 215.909754 187.415091 \nL 216.689816 189.04434 \nL 217.584073 190.587781 \nL 218.595389 192.041037 \nL 219.727761 193.398793 \nL 220.986274 194.654653 \nL 222.377051 195.800969 \nL 223.907203 196.828638 \nL 225.58478 197.726896 \nL 227.418687 198.483063 \nL 229.418612 199.082269 \nL 231.594905 199.507158 \nL 233.95842 199.73757 \nL 236.520335 199.750224 \nL 239.291868 199.518386 \nL 242.283941 199.011579 \nL 245.506739 198.195358 \nL 248.969121 197.031203 \nL 252.6779 195.476571 \nL 256.636933 193.485247 \nL 260.846003 191.008071 \nL 265.299445 187.994193 \nL 269.984559 184.393026 \nL 274.879743 180.157088 \nL 279.952405 175.245913 \nL 285.15677 169.631141 \nL 290.431593 163.30283 \nL 295.69815 156.276895 \nL 300.858657 148.603244 \nL 305.795636 140.373749 \nL 310.37263 131.728955 \nL 314.436849 122.86176 \nL 317.824212 114.016146 \nL 320.367136 105.479118 \nL 321.904938 97.564575 \nL 322.296475 90.589281 \nL 321.433724 84.843008 \nL 319.254644 80.556896 \nL 315.753185 77.875985 \nL 310.984465 76.84153 \nL 305.06364 77.387767 \nL 298.158174 79.353898 \nL 290.47445 82.508901 \nL 282.240826 86.583411 \nL 273.689794 91.301849 \nL 265.041795 96.409282 \nL 256.492658 101.689326 \nL 240.307132 112.137494 \nL 226.006292 121.829176 \nL 219.689977 126.292588 \nL 213.944506 130.494002 \nL 208.756795 134.443913 \nL 204.100271 138.159016 \nL 199.939032 141.658593 \nL 196.231274 144.962125 \nL 192.932009 148.087837 \nL 189.995139 151.051926 \nL 185.027384 156.548192 \nL 180.984568 161.533588 \nL 171.602006 173.790407 \nL 168.668888 176.98184 \nL 167.144685 178.39576 \nL 165.559835 179.680289 \nL 163.899238 180.827634 \nL 162.148865 181.82857 \nL 160.295649 182.672306 \nL 158.327404 183.346368 \nL 156.232826 183.836492 \nL 154.001505 184.126485 \nL 151.624038 184.198146 \nL 149.092169 184.031202 \nL 146.399044 183.603335 \nL 143.539534 182.890248 \nL 140.510651 181.865919 \nL 137.312072 180.50299 \nL 133.946782 178.773386 \nL 130.421813 176.649247 \nL 126.749108 174.104151 \nL 122.946474 171.114806 \nL 119.03861 167.663172 \nL 115.058141 163.739045 \nL 111.046606 159.343142 \nL 107.05531 154.49048 \nL 103.14583 149.213959 \nL 99.390133 143.567735 \nL 95.87002 137.629985 \nL 92.675711 131.504486 \nL 89.90345 125.320261 \nL 87.651994 119.22881 \nL 86.017954 113.398359 \nL 85.090204 108.005017 \nL 84.943693 103.221411 \nL 85.633196 99.203576 \nL 87.187748 96.077966 \nL 89.606492 93.930306 \nL 92.856662 92.798296 \nL 96.87418 92.669357 \nL 101.5669 93.484041 \nL 106.820248 95.144316 \nL 112.504593 97.525209 \nL 118.483379 100.487944 \nL 124.621135 103.892282 \nL 130.79045 107.606695 \nL 136.877387 111.515385 \nL 142.785093 115.52214 \nL 148.435574 119.551293 \nL 153.769909 123.546603 \nL 158.747254 127.468815 \nL 163.343004 131.292569 \nL 167.546496 135.003281 \nL 171.35853 138.594278 \nL 174.788934 142.064353 \nL 177.854305 145.415836 \nL 180.57603 148.653136 \nL 182.978584 151.781742 \nL 185.088161 154.807483 \nL 186.931557 157.73612 \nL 188.535334 160.573082 \nL 189.925186 163.32333 \nL 191.125504 165.991332 \nL 193.046943 171.096102 \nL 194.460443 175.914282 \nL 195.497756 180.46736 \nL 196.263581 184.773069 \nL 197.075873 190.800443 \nL 197.976795 199.801125 \nL 198.931501 209.08207 \nL 199.521398 213.171114 \nL 200.265237 216.925038 \nL 201.229429 220.361695 \nL 202.034457 222.481983 \nL 203.003809 224.466358 \nL 204.173994 226.312013 \nL 205.589353 228.011667 \nL 207.30387 229.551656 \nL 209.383286 230.909058 \nL 211.907529 232.047466 \nL 213.365978 232.518006 \nL 214.973413 232.910766 \nL 216.745037 233.214171 \nL 218.697451 233.414074 \nL 220.848721 233.493236 \nL 223.218415 233.430706 \nL 225.827611 233.201111 \nL 228.698854 232.773809 \nL 231.85602 232.111955 \nL 235.324096 231.171427 \nL 239.128796 229.899696 \nL 243.295983 228.234645 \nL 247.850816 226.103445 \nL 252.816564 223.421628 \nL 258.21294 220.092593 \nL 264.053893 216.007867 \nL 270.344673 211.048605 \nL 277.078075 205.088951 \nL 284.229756 198.002112 \nL 291.752547 189.670041 \nL 299.569846 179.997718 \nL 307.568439 168.932776 \nL 315.591258 156.490573 \nL 323.431237 142.783422 \nL 330.827853 128.050784 \nL 337.468428 112.684208 \nL 342.996859 97.238007 \nL 347.032044 82.414648 \nL 349.197247 69.015164 \nL 349.159637 57.851314 \nL 346.675463 49.62792 \nL 341.633169 44.818972 \nL 334.084044 43.57186 \nL 324.250699 45.67275 \nL 312.508337 50.589175 \nL 299.341177 57.57868 \nL 285.283718 65.828641 \nL 256.537911 83.239152 \nL 242.692065 91.363527 \nL 229.598976 98.704159 \nL 217.437928 105.148295 \nL 206.305332 110.683681 \nL 196.232506 115.360796 \nL 187.20353 119.263385 \nL 179.170892 122.488057 \nL 172.068006 125.131695 \nL 165.818558 127.28458 \nL 160.343105 129.027254 \nL 151.405347 131.552004 \nL 144.684916 133.15118 \nL 137.747971 134.486453 \nL 130.758208 135.740373 \nL 130.201667 136.06718 \nL 130.033423 136.471305 \nL 130.153578 136.971028 \nL 130.690776 137.906159 \nL 132.459522 140.718944 \nL 133.038099 142.002249 \nL 133.347754 143.194542 \nL 133.328165 144.201503 \nL 133.118589 144.727266 \nL 132.751961 145.110704 \nL 132.235455 145.333564 \nL 131.582227 145.381891 \nL 130.811128 145.246893 \nL 129.946413 144.925763 \nL 128.539131 144.106083 \nL 127.105074 142.925312 \nL 125.776773 141.472163 \nL 124.6916 139.875583 \nL 123.976824 138.295384 \nL 123.756875 137.336605 \nL 123.765557 136.511828 \nL 124.010825 135.865091 \nL 124.488492 135.431616 \nL 125.181938 135.235383 \nL 126.062797 135.287581 \nL 127.092623 135.586331 \nL 128.225301 136.117455 \nL 129.41001 136.856173 \nL 131.170165 138.2793 \nL 132.760651 139.959216 \nL 134.036056 141.748456 \nL 134.654927 142.928793 \nL 135.060412 144.04986 \nL 135.237091 145.071934 \nL 135.17718 145.958082 \nL 134.880248 146.674564 \nL 134.352915 147.191324 \nL 133.608695 147.482619 \nL 132.667923 147.527908 \nL 131.557796 147.313038 \nL 130.312479 146.831645 \nL 128.973046 146.086749 \nL 127.587306 145.092485 \nL 126.209081 143.875513 \nL 124.896961 142.476018 \nL 123.712282 140.947753 \nL 122.716281 139.356832 \nL 121.96642 137.778973 \nL 121.512213 136.29518 \nL 121.390876 134.986066 \nL 121.62336 133.925468 \nL 121.873639 133.508025 \nL 122.211438 133.17419 \nL 122.633759 132.928685 \nL 123.136336 132.774873 \nL 124.359277 132.748833 \nL 125.82405 133.095246 \nL 127.461154 133.792785 \nL 129.193033 134.803031 \nL 130.939615 136.074983 \nL 132.623458 137.54979 \nL 134.173923 139.164947 \nL 135.530091 140.857627 \nL 136.642401 142.566935 \nL 137.473127 144.235176 \nL 137.995995 145.808388 \nL 138.195334 147.236374 \nL 138.065019 148.472518 \nL 137.607503 149.473658 \nL 136.833157 150.200122 \nL 135.759992 150.616238 \nL 134.413818 150.691319 \nL 132.828788 150.401283 \nL 131.048221 149.731025 \nL 129.125465 148.677363 \nL 127.124554 147.2525 \nL 125.120231 145.487539 \nL 123.196989 143.435545 \nL 121.446662 141.173209 \nL 119.964258 138.800238 \nL 118.841947 136.435573 \nL 118.161565 134.210109 \nL 118.00779 133.191167 \nL 117.986262 132.256011 \nL 118.100654 131.419295 \nL 118.352564 130.694159 \nL 118.741409 130.091885 \nL 119.264344 129.621605 \nL 119.916276 129.290085 \nL 120.689938 129.101587 \nL 121.576029 129.057855 \nL 122.563408 129.158142 \nL 123.639352 129.399366 \nL 125.99999 130.281864 \nL 128.536537 131.642956 \nL 131.123054 133.400242 \nL 133.638897 135.461145 \nL 135.976325 137.731157 \nL 138.045357 140.119598 \nL 139.775807 142.542836 \nL 141.116954 144.925337 \nL 142.035627 147.199213 \nL 142.513484 149.30292 \nL 142.544117 151.179682 \nL 142.392351 152.016133 \nL 142.130535 152.775956 \nL 141.760222 153.452774 \nL 141.283377 154.040317 \nL 140.702374 154.532399 \nL 140.020006 154.922934 \nL 139.239503 155.205984 \nL 138.364586 155.375778 \nL 137.399511 155.426802 \nL 136.349139 155.353891 \nL 135.21901 155.152322 \nL 134.015427 154.817959 \nL 131.417518 153.738257 \nL 128.624625 152.10032 \nL 125.723808 149.911975 \nL 122.821687 147.211339 \nL 120.044376 144.074512 \nL 117.534467 140.621074 \nL 116.427275 138.825231 \nL 115.444248 137.014921 \nL 114.604108 135.216517 \nL 113.924569 133.457878 \nL 113.421788 131.767674 \nL 113.109831 130.174608 \nL 113.000118 128.706524 \nL 113.100899 127.389496 \nL 113.416859 126.24695 \nL 113.94875 125.298851 \nL 114.693235 124.561027 \nL 115.642792 124.044684 \nL 116.785865 123.756129 \nL 118.107107 123.696731 \nL 119.587819 123.86313 \nL 121.206467 124.247606 \nL 122.939339 124.838664 \nL 124.761232 125.621709 \nL 126.646159 126.579781 \nL 128.568043 127.694321 \nL 132.421715 130.314712 \nL 136.134145 133.327067 \nL 139.547282 136.585599 \nL 142.539416 139.962662 \nL 145.025414 143.350874 \nL 146.95269 146.661306 \nL 147.697724 148.26369 \nL 148.294833 149.819654 \nL 148.743641 151.321462 \nL 149.044554 152.761727 \nL 149.19858 154.13332 \nL 149.207179 155.429236 \nL 149.072132 156.642505 \nL 148.79545 157.766108 \nL 148.379289 158.792905 \nL 147.82592 159.715568 \nL 147.13771 160.526542 \nL 146.317129 161.218006 \nL 145.366788 161.78185 \nL 144.289501 162.209692 \nL 143.088376 162.492903 \nL 141.766925 162.622667 \nL 140.329199 162.590067 \nL 138.779947 162.386208 \nL 137.124804 162.002413 \nL 135.370484 161.430442 \nL 133.525006 160.662783 \nL 131.597916 159.692992 \nL 129.600524 158.516136 \nL 127.546133 157.129277 \nL 125.450257 155.532007 \nL 123.330807 153.727058 \nL 121.208218 151.720941 \nL 119.105534 149.524555 \nL 117.048375 147.153796 \nL 115.064814 144.630059 \nL 113.185073 141.980549 \nL 111.441123 139.238436 \nL 109.866037 136.44267 \nL 108.49321 133.637466 \nL 107.355407 130.87139 \nL 106.48361 128.196036 \nL 105.905814 125.664342 \nL 105.645768 123.328568 \nL 105.721715 121.238085 \nL 106.145288 119.437187 \nL 106.920627 117.962976 \nL 108.043765 116.843679 \nL 109.502435 116.097412 \nL 111.276254 115.731632 \nL 113.33734 115.743188 \nL 115.651299 116.119146 \nL 118.178543 116.838062 \nL 120.875796 117.871718 \nL 123.697738 119.187061 \nL 126.598608 120.748139 \nL 129.533698 122.51796 \nL 132.460667 124.460034 \nL 135.340567 126.539641 \nL 138.138612 128.724692 \nL 140.824647 130.98628 \nL 143.373353 133.298908 \nL 145.764231 135.640495 \nL 147.981371 137.992175 \nL 150.013109 140.338008 \nL 151.851577 142.664618 \nL 153.492181 144.960797 \nL 154.93308 147.217125 \nL 156.174667 149.425595 \nL 157.219056 151.579297 \nL 158.069633 153.672128 \nL 158.730648 155.698542 \nL 159.206856 157.653338 \nL 159.503215 159.531478 \nL 159.62464 161.327917 \nL 159.575796 163.037472 \nL 159.360965 164.654697 \nL 158.983919 166.173771 \nL 158.447866 167.588389 \nL 157.755401 168.891657 \nL 156.908525 170.07601 \nL 155.908653 171.133102 \nL 154.756689 172.05374 \nL 153.453107 172.827773 \nL 151.99807 173.444071 \nL 150.391573 173.890421 \nL 148.633629 174.153532 \nL 146.724487 174.219049 \nL 144.664883 174.071584 \nL 142.456341 173.694851 \nL 140.101515 173.071857 \nL 137.604595 172.185206 \nL 134.97174 171.017549 \nL 132.211578 169.552128 \nL 129.335738 167.773594 \nL 126.359437 165.668933 \nL 123.302054 163.228668 \nL 120.187703 160.448253 \nL 117.045767 157.32968 \nL 113.91133 153.883194 \nL 110.825444 150.1291 \nL 107.835137 146.099454 \nL 104.993139 141.839475 \nL 102.357206 137.408478 \nL 99.988902 132.880018 \nL 97.951936 128.340973 \nL 96.309888 123.889424 \nL 95.123458 119.631148 \nL 94.447353 115.674804 \nL 94.326949 112.126057 \nL 94.795069 109.081187 \nL 95.869156 106.620694 \nL 97.549155 104.80384 \nL 99.816443 103.664749 \nL 102.63398 103.210655 \nL 105.947723 103.422546 \nL 109.689248 104.258096 \nL 113.779301 105.656358 \nL 118.131932 107.543638 \nL 122.658775 109.839554 \nL 127.273158 112.462769 \nL 131.893608 115.335625 \nL 136.446614 118.387643 \nL 140.868505 121.557522 \nL 145.106491 124.794048 \nL 149.118902 128.055975 \nL 152.874826 131.311248 \nL 156.353272 134.535835 \nL 159.542035 137.712359 \nL 162.436391 140.828779 \nL 165.037764 143.877147 \nL 167.352415 146.852562 \nL 169.390236 149.752265 \nL 171.163668 152.574982 \nL 172.686773 155.32038 \nL 173.974452 157.988688 \nL 175.041807 160.580409 \nL 175.903637 163.096138 \nL 176.57404 165.536412 \nL 177.066125 167.901639 \nL 177.391814 170.192006 \nL 177.561686 172.407445 \nL 177.584908 174.547599 \nL 177.469184 176.611762 \nL 177.220754 178.598861 \nL 176.8444 180.507389 \nL 176.343484 182.335365 \nL 175.719986 184.080252 \nL 174.974549 185.738894 \nL 174.106538 187.307401 \nL 173.114088 188.781075 \nL 171.994163 190.154242 \nL 170.742609 191.420149 \nL 169.354219 192.570766 \nL 167.8228 193.596626 \nL 166.141241 194.486596 \nL 164.301614 195.227654 \nL 162.295278 195.804641 \nL 160.113018 196.199984 \nL 157.745229 196.393422 \nL 155.182143 196.361741 \nL 152.414125 196.078504 \nL 149.432049 195.513852 \nL 146.227779 194.634388 \nL 142.794773 193.403171 \nL 139.128827 191.77996 \nL 135.229008 189.721703 \nL 131.098752 187.183474 \nL 126.747212 184.11989 \nL 122.190767 180.487281 \nL 117.454766 176.246611 \nL 112.575407 171.367399 \nL 107.601691 165.832651 \nL 102.597272 159.644793 \nL 97.642034 152.832307 \nL 92.83308 145.456717 \nL 88.284719 137.618956 \nL 84.12712 129.464066 \nL 80.503118 121.182687 \nL 77.562857 113.007798 \nL 75.456138 105.205276 \nL 74.322627 98.05778 \nL 74.280558 91.84247 \nL 75.415093 86.804952 \nL 77.767876 83.133138 \nL 81.329495 80.935918 \nL 86.036478 80.231145 \nL 91.773704 80.945721 \nL 98.382227 82.928055 \nL 105.671556 85.970168 \nL 113.434489 89.834658 \nL 121.46232 94.281161 \nL 129.558395 99.088049 \nL 137.548514 104.066798 \nL 145.287564 109.068729 \nL 152.66244 113.985374 \nL 159.591826 118.744395 \nL 166.023723 123.303141 \nL 171.931604 127.641544 \nL 177.309949 131.755496 \nL 182.169727 135.651209 \nL 186.534214 139.340902 \nL 190.435327 142.839611 \nL 193.910567 146.163072 \nL 197.000562 149.326372 \nL 199.747172 152.343204 \nL 202.192066 155.225488 \nL 206.336693 160.624897 \nL 209.733183 165.58433 \nL 217.830023 178.085675 \nL 220.447834 181.462245 \nL 221.823477 182.990756 \nL 223.263691 184.405952 \nL 224.782502 185.701255 \nL 226.393298 186.868734 \nL 228.108946 187.898995 \nL 229.941892 188.780956 \nL 231.904196 189.501719 \nL 234.007552 190.046335 \nL 236.263239 190.397628 \nL 238.682028 190.535987 \nL 241.274004 190.439206 \nL 244.048335 190.082352 \nL 247.012914 189.437717 \nL 250.173928 188.474863 \nL 253.53529 187.160847 \nL 257.097934 185.460686 \nL 260.858954 183.338088 \nL 264.810608 180.756621 \nL 268.939128 177.681337 \nL 273.223417 174.081047 \nL 277.633616 169.931226 \nL 282.129657 165.217664 \nL 286.659843 159.940812 \nL 291.159654 154.120674 \nL 295.550972 147.801929 \nL 299.741972 141.058762 \nL 303.627969 133.998677 \nL 307.093524 126.764297 \nL 310.01608 119.532095 \nL 312.271259 112.507138 \nL 313.739755 105.913113 \nL 314.315542 99.977839 \nL 313.914664 94.915286 \nL 312.483701 90.906165 \nL 310.006723 88.080062 \nL 306.509533 86.50233 \nL 302.060306 86.168359 \nL 296.766254 87.006462 \nL 290.766532 88.888942 \nL 284.222318 91.648959 \nL 277.30544 95.100049 \nL 270.187053 99.054691 \nL 263.027736 103.339407 \nL 255.969901 107.804818 \nL 249.132913 112.330613 \nL 242.610904 116.826098 \nL 236.472819 121.22772 \nL 230.764152 125.494753 \nL 225.50974 129.604433 \nL 220.717096 133.547212 \nL 216.379858 137.322615 \nL 212.481057 140.935925 \nL 208.996051 144.39566 \nL 205.895033 147.711811 \nL 203.145092 150.894649 \nL 200.711847 153.953987 \nL 198.560712 156.898783 \nL 196.657816 159.736953 \nL 193.468543 165.119769 \nL 190.907009 170.145339 \nL 187.80633 177.075285 \nL 184.238446 185.257032 \nL 182.423023 188.90336 \nL 180.454619 192.244432 \nL 178.245379 195.261863 \nL 177.023862 196.640182 \nL 175.710195 197.924882 \nL 174.293487 199.109529 \nL 172.762548 200.186333 \nL 171.105816 201.145933 \nL 169.311309 201.977169 \nL 167.366587 202.66679 \nL 165.258765 203.199152 \nL 162.974553 203.555874 \nL 160.500338 203.715469 \nL 157.822348 203.65297 \nL 154.926874 203.33952 \nL 151.800592 202.74202 \nL 148.43101 201.822824 \nL 144.807065 200.539545 \nL 140.919881 198.845052 \nL 136.763765 196.687781 \nL 132.337427 194.012465 \nL 127.645495 190.761481 \nL 122.700342 186.876997 \nL 117.5242 182.304177 \nL 112.151546 176.995626 \nL 106.631737 170.917347 \nL 101.031619 164.056159 \nL 95.438015 156.428537 \nL 89.959599 148.090356 \nL 84.727762 139.146515 \nL 79.895788 129.759012 \nL 75.635717 120.151244 \nL 72.13234 110.606107 \nL 69.573811 101.455548 \nL 68.139064 93.059986 \nL 67.98268 85.778138 \nL 69.218754 79.930106 \nL 71.906029 75.759335 \nL 76.036846 73.401214 \nL 81.53252 72.865511 \nL 88.246563 74.037484 \nL 95.975828 76.69775 \nL 104.47796 80.55642 \nL 113.492253 85.293171 \nL 122.760465 90.594966 \nL 132.044608 96.184711 \nL 149.881175 107.388881 \nL 165.8533 117.782723 \nL 179.435083 126.964054 \nL 190.572576 134.942139 \nL 195.290432 138.53117 \nL 199.49742 141.886491 \nL 203.242384 145.031547 \nL 209.549277 150.771327 \nL 214.609123 155.880717 \nL 220.642709 162.53392 \nL 225.692595 168.071229 \nL 228.900548 171.138658 \nL 230.526077 172.474476 \nL 232.191502 173.670531 \nL 233.913607 174.719291 \nL 235.707493 175.611839 \nL 237.586691 176.337869 \nL 239.563265 176.885604 \nL 241.64782 177.241794 \nL 243.849496 177.391684 \nL 246.175875 177.319071 \nL 248.632824 177.006348 \nL 251.224281 176.434709 \nL 253.951952 175.584395 \nL 256.814931 174.435101 \nL 259.809257 172.966549 \nL 262.927372 171.159286 \nL 266.15751 168.995671 \nL 269.483075 166.461194 \nL 272.881941 163.546063 \nL 276.325802 160.247041 \nL 279.779567 156.56956 \nL 283.200923 152.53 \nL 286.540121 148.157957 \nL 289.74008 143.498304 \nL 292.736976 138.612787 \nL 295.461375 133.580783 \nL 297.84003 128.498819 \nL 299.798364 123.47861 \nL 301.263691 118.643266 \nL 302.168943 114.121717 \nL 302.456825 110.04154 \nL 302.083964 106.520824 \nL 301.024679 103.659797 \nL 299.273957 101.533411 \nL 296.849132 100.185799 \nL 293.790074 99.627597 \nL 290.157633 99.836391 \nL 286.030561 100.760408 \nL 281.501126 102.324592 \nL 276.669925 104.438247 \nL 271.640445 107.003102 \nL 266.513962 109.920685 \nL 261.38512 113.098273 \nL 256.338557 116.453118 \nL 251.446679 119.914802 \nL 246.768529 123.425995 \nL 242.349656 126.941962 \nL 238.222725 130.429278 \nL 234.408695 133.86413 \nL 230.918311 137.230446 \nL 227.753765 140.518158 \nL 224.910356 143.721632 \nL 222.378082 146.838376 \nL 220.143059 149.868023 \nL 218.188788 152.811543 \nL 216.497195 155.670698 \nL 215.049516 158.447607 \nL 213.826981 161.144533 \nL 212.811351 163.763664 \nL 211.985319 166.307058 \nL 211.332794 168.776555 \nL 210.839097 171.173769 \nL 210.49107 173.500056 \nL 210.277139 175.756521 \nL 210.187328 177.944031 \nL 210.347999 182.114309 \nL 210.923991 186.012353 \nL 211.888921 189.634674 \nL 212.514709 191.339698 \nL 213.237123 192.971581 \nL 214.058403 194.527834 \nL 214.981879 196.005304 \nL 216.011949 197.40006 \nL 217.154042 198.707263 \nL 218.414602 199.921027 \nL 219.801066 201.034226 \nL 221.321843 202.038302 \nL 222.986286 202.923034 \nL 224.804662 203.67627 \nL 226.788097 204.283615 \nL 228.9485 204.72811 \nL 231.298466 204.989856 \nL 233.851107 205.04562 \nL 236.619849 204.868418 \nL 239.618137 204.42711 \nL 242.859034 203.686013 \nL 246.354708 202.604614 \nL 250.115728 201.137398 \nL 254.1502 199.233924 \nL 258.462647 196.839258 \nL 263.052622 193.894908 \nL 267.913017 190.340456 \nL 273.028051 186.116146 \nL 278.370935 181.166661 \nL 283.901269 175.446308 \nL 289.562252 168.925798 \nL 295.277914 161.600678 \nL 300.950657 153.501084 \nL 306.459594 144.702162 \nL 311.660137 135.33395 \nL 316.385659 125.588768 \nL 320.451804 115.723701 \nL 323.664122 106.055412 \nL 325.82928 96.945001 \nL 326.76948 88.772002 \nL 326.339136 81.898841 \nL 324.441645 76.630183 \nL 321.04384 73.174464 \nL 316.185031 71.615846 \nL 309.978523 71.903848 \nL 302.604451 73.863716 \nL 294.294728 77.225419 \nL 285.312563 81.664195 \nL 275.929974 86.843195 \nL 266.406993 92.449755 \nL 256.975194 98.219924 \nL 239.111492 109.497141 \nL 223.358631 119.728635 \nL 210.115796 128.648556 \nL 199.342112 136.342162 \nL 194.795907 139.791149 \nL 190.747257 143.009958 \nL 183.934782 148.848451 \nL 178.491075 154.007734 \nL 174.032427 158.586187 \nL 166.78935 166.18343 \nL 163.496571 169.214353 \nL 161.844457 170.528147 \nL 160.161725 171.700103 \nL 158.430911 172.72301 \nL 156.63646 173.588344 \nL 154.764568 174.286233 \nL 152.803113 174.805426 \nL 150.741595 175.133339 \nL 148.571159 175.256031 \nL 146.284672 175.158289 \nL 143.876847 174.823747 \nL 141.344459 174.235089 \nL 138.686609 173.374325 \nL 135.905071 172.223262 \nL 133.00472 170.764053 \nL 129.993994 168.980021 \nL 126.885436 166.856631 \nL 123.696267 164.382727 \nL 120.448955 161.552012 \nL 117.171767 158.364765 \nL 113.899228 154.829694 \nL 110.672419 150.965935 \nL 107.539073 146.80495 \nL 104.553301 142.392189 \nL 101.774936 137.788257 \nL 99.26834 133.069231 \nL 97.100642 128.325928 \nL 95.339373 123.661782 \nL 94.049546 119.189189 \nL 93.29026 115.024425 \nL 93.11109 111.281249 \nL 93.548501 108.063853 \nL 94.622686 105.459801 \nL 96.335161 103.533853 \nL 98.667478 102.323485 \nL 101.581261 101.836901 \nL 105.019716 102.053609 \nL 108.910414 102.92764 \nL 113.16915 104.392754 \nL 117.704477 106.36896 \nL 122.422409 108.769323 \nL 127.230862 111.506211 \nL 132.043509 114.496467 \nL 136.782752 117.665136 \nL 141.38172 120.947572 \nL 145.785333 124.290299 \nL 149.950518 127.650786 \nL 153.845743 130.996466 \nL 157.450053 134.303367 \nL 160.751808 137.554598 \nL 163.747249 140.738832 \nL 166.439037 143.848989 \nL 168.834847 146.881061 \nL 170.946069 149.833193 \nL 172.786676 152.704959 \nL 174.372235 155.49682 \nL 175.719099 158.209736 \nL 176.843746 160.84489 \nL 177.76226 163.403508 \nL 178.489938 165.886731 \nL 179.040995 168.295527 \nL 179.428373 170.630664 \nL 179.663599 172.892651 \nL 179.756716 175.081719 \nL 179.716249 177.197816 \nL 179.549208 179.240543 \nL 179.261108 181.20915 \nL 178.85601 183.10248 \nL 178.336566 184.918925 \nL 177.704071 186.656366 \nL 176.958519 188.312089 \nL 176.098655 189.882719 \nL 175.122024 191.364091 \nL 174.025021 192.751137 \nL 172.802941 194.037756 \nL 171.45002 195.216634 \nL 169.959494 196.279069 \nL 168.323647 197.214752 \nL 166.53388 198.011541 \nL 164.580799 198.655176 \nL 162.454312 199.129008 \nL 160.143788 199.413687 \nL 157.638223 199.486836 \nL 154.926506 199.322727 \nL 151.997729 198.892 \nL 148.841609 198.161409 \nL 145.449032 197.093681 \nL 141.812735 195.647543 \nL 137.928157 193.777985 \nL 133.794511 191.436879 \nL 129.416061 188.574094 \nL 124.803672 185.13925 \nL 119.976557 181.084312 \nL 114.964321 176.367176 \nL 109.809114 170.956415 \nL 104.567875 164.837239 \nL 99.31439 158.018608 \nL 94.141007 150.541114 \nL 89.159526 142.485004 \nL 84.50086 133.977233 \nL 80.3129 125.195986 \nL 76.756187 116.370812 \nL 73.996892 107.77648 \nL 72.197126 99.719111 \nL 71.502952 92.514344 \nL 72.031066 86.458999 \nL 73.855711 81.799907 \nL 76.997883 78.705119 \nL 81.418826 77.243511 \nL 87.019444 77.377607 \nL 93.646279 78.971557 \nL 101.103427 81.812655 \nL 109.168564 85.641524 \nL 117.610619 90.184339 \nL 126.206389 95.181163 \nL 134.754058 100.406132 \nL 143.082438 105.678364 \nL 158.574113 115.874475 \nL 172.012983 125.181775 \nL 177.886186 129.448416 \nL 183.199809 133.462805 \nL 187.976829 137.239909 \nL 192.250583 140.798204 \nL 196.061163 144.156937 \nL 199.452536 147.334517 \nL 202.470304 150.34751 \nL 205.16005 153.210256 \nL 209.730949 158.530619 \nL 213.49326 163.365061 \nL 221.121447 173.522879 \nL 224.013857 176.814156 \nL 225.509348 178.282445 \nL 227.060398 179.624985 \nL 228.682433 180.834553 \nL 230.389806 181.902519 \nL 232.195903 182.818741 \nL 234.11325 183.571432 \nL 236.153537 184.147045 \nL 238.327616 184.530134 \nL 240.645427 184.703247 \nL 243.115873 184.646828 \nL 245.746608 184.339202 \nL 248.543747 183.756629 \nL 251.511495 182.873425 \nL 254.65165 181.662299 \nL 257.963016 180.094848 \nL 261.4407 178.142332 \nL 265.075272 175.776757 \nL 268.851844 172.972378 \nL 272.749048 169.707626 \nL 276.737964 165.967522 \nL 280.781057 161.74662 \nL 284.831233 157.052324 \nL 288.83109 151.908511 \nL 292.712583 146.359195 \nL 296.397223 140.471729 \nL 299.797052 134.339159 \nL 302.81659 128.080891 \nL 305.355852 121.841175 \nL 307.314595 115.784647 \nL 308.597621 110.088786 \nL 309.120921 104.933272 \nL 308.818131 100.487162 \nL 307.646722 96.895169 \nL 305.593021 94.265043 \nL 302.675401 92.657937 \nL 298.944939 92.083668 \nL 294.483308 92.50158 \nL 289.398005 93.827032 \nL 283.815457 95.942185 \nL 277.87287 98.70918 \nL 271.709826 101.983455 \nL 265.460561 105.625434 \nL 259.247619 109.509173 \nL 253.177372 113.527723 \nL 247.337416 117.595238 \nL 241.795723 121.646592 \nL 236.601208 125.635282 \nL 231.785319 129.530416 \nL 227.364253 133.313451 \nL 223.341454 136.97507 \nL 219.710164 140.512448 \nL 216.455819 143.927074 \nL 213.558206 147.223065 \nL 210.993316 150.405946 \nL 208.734882 153.481809 \nL 206.755608 156.456781 \nL 205.028139 159.336683 \nL 203.525779 162.126875 \nL 202.223005 164.832192 \nL 200.121968 170.004954 \nL 198.554467 174.883885 \nL 197.379369 179.491851 \nL 196.483362 183.84741 \nL 195.473193 189.941023 \nL 193.125809 205.432292 \nL 192.169952 209.771078 \nL 191.402066 212.4537 \nL 190.495126 214.972054 \nL 189.415206 217.326253 \nL 188.122685 219.512653 \nL 186.570474 221.522357 \nL 184.702076 223.339041 \nL 183.628557 224.167111 \nL 182.449442 224.935757 \nL 181.154036 225.639194 \nL 179.730614 226.270273 \nL 178.166353 226.820225 \nL 176.447251 227.278327 \nL 174.55806 227.631522 \nL 172.482243 227.863962 \nL 170.201928 227.956471 \nL 167.697923 227.885924 \nL 164.949762 227.624525 \nL 161.93582 227.139004 \nL 158.63353 226.389715 \nL 155.019715 225.32968 \nL 151.071117 223.903587 \nL 146.765115 222.046869 \nL 142.080789 219.68494 \nL 137.000316 216.732761 \nL 131.51089 213.095071 \nL 125.607165 208.667575 \nL 119.294462 203.33966 \nL 112.592673 196.999227 \nL 105.541052 189.540412 \nL 98.203717 180.874982 \nL 90.675748 170.947965 \nL 83.089354 159.757785 \nL 75.619362 147.380112 \nL 68.486788 133.993197 \nL 61.958876 119.900429 \nL 56.343472 105.543469 \nL 51.975971 91.497589 \nL 49.197303 78.440842 \nL 48.323042 67.092365 \nL 49.60631 58.122824 \nL 53.19964 52.051055 \nL 59.123611 49.151224 \nL 67.250714 49.398311 \nL 77.31031 52.471774 \nL 88.915775 57.819385 \nL 101.608778 64.76207 \nL 114.91075 72.608212 \nL 141.600551 88.704316 \nL 154.295351 96.157038 \nL 166.237546 102.920594 \nL 177.290838 108.918992 \nL 187.387323 114.151926 \nL 196.512306 118.665587 \nL 204.689584 122.530205 \nL 218.414862 128.626822 \nL 229.103106 133.033423 \nL 237.348236 136.22078 \nL 246.303021 139.421744 \nL 252.431219 141.328528 \nL 255.467685 142.084223 \nL 257.920887 142.515596 \nL 259.943954 142.674974 \nL 261.6444 142.60368 \nL 263.094251 142.337556 \nL 264.338431 141.910633 \nL 265.401735 141.357325 \nL 266.294589 140.713566 \nL 267.31471 139.661326 \nL 267.936432 138.622675 \nL 268.142345 137.726451 \nL 268.047608 137.264885 \nL 267.774755 136.943976 \nL 267.337799 136.78293 \nL 266.757599 136.792597 \nL 265.679395 137.129385 \nL 264.452003 137.824823 \nL 263.199293 138.814628 \nL 262.044368 140.008564 \nL 261.097412 141.301382 \nL 260.446648 142.582738 \nL 260.152985 143.744907 \nL 260.172286 144.403957 \nL 260.366686 144.93931 \nL 260.73221 145.327812 \nL 261.259134 145.550162 \nL 261.932115 145.591604 \nL 262.730315 145.442769 \nL 263.627605 145.100577 \nL 265.089914 144.235916 \nL 266.580628 142.995832 \nL 267.960431 141.473065 \nL 269.085055 139.802901 \nL 269.626106 138.689689 \nL 269.960704 137.639516 \nL 270.064162 136.706062 \nL 269.922435 135.938811 \nL 269.533803 135.379443 \nL 268.909669 135.058781 \nL 268.074329 134.994677 \nL 267.063626 135.191149 \nL 265.922722 135.638717 \nL 264.703132 136.315867 \nL 263.459491 137.191268 \nL 261.667421 138.790401 \nL 260.11227 140.600387 \nL 259.277195 141.847738 \nL 258.641589 143.074819 \nL 258.228988 144.238333 \nL 258.054797 145.297441 \nL 258.126562 146.214198 \nL 258.444324 146.953912 \nL 259.000926 147.485615 \nL 259.782198 147.782705 \nL 260.766999 147.82385 \nL 261.927148 147.594207 \nL 263.227273 147.086944 \nL 264.624751 146.30498 \nL 266.069931 145.262789 \nL 267.506747 143.988037 \nL 268.873985 142.522668 \nL 270.107443 140.923041 \nL 271.142874 139.258689 \nL 271.919895 137.609417 \nL 272.386477 136.060678 \nL 272.503591 134.697459 \nL 272.249467 133.597386 \nL 271.981906 133.166608 \nL 271.622717 132.824025 \nL 271.175153 132.574495 \nL 270.643793 132.421414 \nL 269.354261 132.410743 \nL 267.814048 132.789731 \nL 266.096902 133.534439 \nL 264.284685 134.603206 \nL 262.461488 135.941534 \nL 260.708173 137.487209 \nL 259.098022 139.174767 \nL 257.693746 140.938903 \nL 256.545949 142.716731 \nL 255.692763 144.448999 \nL 255.160391 146.080486 \nL 254.964145 147.55993 \nL 255.109629 148.839711 \nL 255.593806 149.875622 \nL 256.405716 150.626875 \nL 257.526762 151.056529 \nL 258.930476 151.132512 \nL 260.581915 150.82932 \nL 262.436686 150.130487 \nL 264.439954 149.031758 \nL 266.525608 147.544842 \nL 268.616085 145.701268 \nL 270.623289 143.555796 \nL 272.451013 141.188382 \nL 273.999294 138.703738 \nL 275.170771 136.227392 \nL 275.878784 133.89788 \nL 276.037041 132.832279 \nL 276.056339 131.855315 \nL 275.932787 130.982476 \nL 275.664704 130.22764 \nL 275.252755 129.602663 \nL 274.700004 129.117083 \nL 274.011919 128.777869 \nL 273.196294 128.589329 \nL 272.263077 128.553026 \nL 271.224167 128.667899 \nL 270.09312 128.930372 \nL 267.615156 129.87288 \nL 264.957893 131.312507 \nL 262.254126 133.160821 \nL 259.630258 135.319629 \nL 257.198275 137.689766 \nL 255.050837 140.177064 \nL 253.259393 142.695483 \nL 251.874821 145.167923 \nL 250.9297 147.525525 \nL 250.441409 149.706092 \nL 250.415306 151.652259 \nL 250.574647 152.520409 \nL 250.847455 153.309786 \nL 251.232102 154.013886 \nL 251.726569 154.626278 \nL 252.328455 155.140595 \nL 253.034951 155.550533 \nL 253.842823 155.849895 \nL 254.74837 156.032641 \nL 255.747355 156.092932 \nL 256.834934 156.025255 \nL 258.005582 155.824511 \nL 259.252988 155.486157 \nL 260.569957 155.006406 \nL 261.948319 154.38239 \nL 264.850986 152.696169 \nL 267.87223 150.432471 \nL 270.902338 147.627735 \nL 273.810403 144.358489 \nL 276.447117 140.747775 \nL 277.613643 138.866069 \nL 278.651727 136.966714 \nL 279.541404 135.077587 \nL 280.26371 133.228269 \nL 280.801257 131.449301 \nL 281.138858 129.771342 \nL 281.264093 128.224195 \nL 281.167892 126.835804 \nL 280.845009 125.631291 \nL 280.294397 124.632048 \nL 279.519414 123.854994 \nL 278.52791 123.312025 \nL 277.332085 123.009735 \nL 275.948226 122.949367 \nL 274.396237 123.127024 \nL 272.69904 123.534128 \nL 270.881895 124.158059 \nL 268.971627 124.982912 \nL 266.99586 125.990323 \nL 264.982249 127.160287 \nL 260.948231 129.904298 \nL 257.067599 133.049404 \nL 253.505282 136.442559 \nL 250.386761 139.951447 \nL 247.798276 143.46624 \nL 245.791584 146.89717 \nL 245.014896 148.557538 \nL 244.391115 150.170074 \nL 243.920298 151.727127 \nL 243.601733 153.221412 \nL 243.434131 154.645876 \nL 243.415777 155.993598 \nL 243.544685 157.25768 \nL 243.818684 158.431141 \nL 244.235497 159.506843 \nL 244.792804 160.477441 \nL 245.488241 161.335295 \nL 246.319399 162.072464 \nL 247.283788 162.680652 \nL 248.378768 163.151238 \nL 249.60147 163.475262 \nL 250.948664 163.643482 \nL 252.41663 163.646477 \nL 254.000989 163.474743 \nL 255.696502 163.118867 \nL 257.496871 162.569762 \nL 259.394499 161.818952 \nL 261.380236 160.858914 \nL 263.443135 159.683529 \nL 265.57019 158.288586 \nL 267.74607 156.672357 \nL 269.952925 154.836246 \nL 272.170198 152.785486 \nL 274.374497 150.529847 \nL 276.539602 148.084314 \nL 278.636539 145.469677 \nL 280.633833 142.712995 \nL 282.49793 139.847858 \nL 284.193777 136.91426 \nL 285.685658 133.958197 \nL 286.938194 131.030777 \nL 287.917528 128.186871 \nL 288.592647 125.483341 \nL 288.936792 122.97687 \nL 288.928838 120.721546 \nL 288.554567 118.766359 \nL 287.807732 117.152836 \nL 286.690773 115.913058 \nL 285.215171 115.068114 \nL 283.401301 114.627448 \nL 281.27784 114.58878 \nL 278.88073 114.938937 \nL 276.251781 115.655215 \nL 273.436989 116.707353 \nL 270.48477 118.059646 \nL 267.444153 119.673143 \nL 264.363112 121.507757 \nL 261.287114 123.524018 \nL 258.257954 125.684468 \nL 255.312897 127.954642 \nL 252.484157 130.303674 \nL 249.798664 132.70454 \nL 247.278105 135.134015 \nL 244.939153 137.572459 \nL 242.793877 140.003475 \nL 240.850238 142.413463 \nL 239.112653 144.79119 \nL 237.582585 147.127365 \nL 236.259117 149.414209 \nL 235.139505 151.645136 \nL 234.219664 153.814402 \nL 233.494625 155.916858 \nL 232.958913 157.947731 \nL 232.606882 159.902407 \nL 232.432967 161.776293 \nL 232.431916 163.564656 \nL 232.598943 165.262502 \nL 232.929837 166.864469 \nL 233.421055 168.364711 \nL 234.06976 169.756795 \nL 234.873821 171.033606 \nL 235.831795 172.187231 \nL 236.942881 173.208897 \nL 238.206832 174.088833 \nL 239.623858 174.816225 \nL 241.194485 175.379107 \nL 242.919384 175.764324 \nL 244.799181 175.957486 \nL 246.83421 175.943002 \nL 249.02422 175.704101 \nL 251.368063 175.223005 \nL 253.863288 174.481113 \nL 256.505719 173.459388 \nL 259.288952 172.13882 \nL 262.203793 170.501112 \nL 265.237669 168.529552 \nL 268.373979 166.21015 \nL 271.591439 163.532992 \nL 274.863425 160.493857 \nL 278.157408 157.096072 \nL 281.43449 153.352487 \nL 284.649136 149.287526 \nL 287.749186 144.939063 \nL 290.676269 140.359988 \nL 293.36669 135.619034 \nL 295.752859 130.800726 \nL 297.765371 126.004007 \nL 299.33571 121.33935 \nL 300.399454 116.924316 \nL 300.899922 112.877617 \nL 300.791908 109.31214 \nL 300.045239 106.327484 \nL 298.647723 104.002993 \nL 296.60714 102.392074 \nL 293.951948 101.51869 \nL 290.730507 101.376561 \nL 287.008925 101.93112 \nL 282.867553 103.123958 \nL 278.396625 104.879049 \nL 273.691447 107.109712 \nL 268.847605 109.725541 \nL 263.95663 112.638375 \nL 259.102488 115.766862 \nL 254.358999 119.03952 \nL 249.788276 122.396169 \nL 245.440114 125.788184 \nL 241.352158 129.177791 \nL 237.550662 132.53678 \nL 234.05169 135.844983 \nL 230.862522 139.088674 \nL 227.983151 142.259071 \nL 225.407786 145.35106 \nL 223.126231 148.362139 \nL 221.125135 151.291541 \nL 219.38907 154.139634 \nL 217.901455 156.907438 \nL 216.645287 159.596305 \nL 215.603746 162.207683 \nL 214.760641 164.742977 \nL 214.100761 167.203444 \nL 213.610111 169.590166 \nL 213.276075 171.903969 \nL 213.087518 174.14544 \nL 213.03483 176.314867 \nL 213.10994 178.41226 \nL 213.306296 180.437286 \nL 213.618832 182.389265 \nL 214.043926 184.267125 \nL 214.579339 186.069342 \nL 215.224169 187.793891 \nL 215.978788 189.438168 \nL 216.844794 190.998906 \nL 217.824966 192.472062 \nL 218.923212 193.8527 \nL 220.144529 195.13486 \nL 221.49496 196.311376 \nL 222.981551 197.373701 \nL 224.612298 198.31169 \nL 226.396096 199.113359 \nL 228.342652 199.764606 \nL 230.462398 200.248931 \nL 232.766348 200.547102 \nL 235.265934 200.636824 \nL 237.972764 200.492397 \nL 240.898311 200.084396 \nL 244.053518 199.379397 \nL 247.448255 198.339794 \nL 251.090667 196.923755 \nL 254.986309 195.08544 \nL 259.137103 192.775543 \nL 263.540048 189.942325 \nL 268.185673 186.533291 \nL 273.056228 182.497696 \nL 278.123635 177.790099 \nL 283.347222 172.375083 \nL 288.6714 166.233296 \nL 294.023406 159.368722 \nL 299.311423 151.816913 \nL 304.423447 143.653495 \nL 309.227358 135.001902 \nL 313.572771 126.038735 \nL 317.29521 116.994794 \nL 320.222968 108.149716 \nL 322.186906 99.818538 \nL 323.032725 92.329718 \nL 322.63491 85.995867 \nL 320.910591 81.080855 \nL 317.83134 77.768678 \nL 313.430612 76.140688 \nL 307.805108 76.166439 \nL 301.109104 77.710744 \nL 293.542478 80.555552 \nL 285.334037 84.431513 \nL 276.723003 89.052379 \nL 267.941338 94.145346 \nL 259.19931 99.473044 \nL 250.675553 104.845469 \nL 234.812538 115.211298 \nL 221.050355 124.63187 \nL 215.036927 128.933886 \nL 209.597294 132.971064 \nL 204.707665 136.759937 \nL 200.333545 140.320503 \nL 196.433485 143.673442 \nL 192.962087 146.838359 \nL 189.872312 149.832844 \nL 184.651077 155.368442 \nL 180.414252 160.371155 \nL 170.688491 172.59185 \nL 167.689709 175.747407 \nL 166.138244 177.138988 \nL 164.52923 178.398142 \nL 162.847267 179.516988 \nL 161.078157 180.486217 \nL 159.208786 181.294961 \nL 157.227052 181.930721 \nL 155.121853 182.37925 \nL 152.883133 182.624456 \nL 150.501957 182.648335 \nL 147.970695 182.430971 \nL 145.283265 181.950574 \nL 142.435451 181.183612 \nL 139.425342 180.105119 \nL 136.253837 178.689148 \nL 132.925277 176.909456 \nL 129.448181 174.740463 \nL 125.836054 172.158588 \nL 122.108314 169.143927 \nL 118.29122 165.682379 \nL 114.418819 161.768192 \nL 110.533808 157.406914 \nL 106.688204 152.618535 \nL 102.943692 147.440735 \nL 99.371487 141.931806 \nL 96.051594 136.172853 \nL 93.07119 130.2687 \nL 90.522078 124.346923 \nL 88.497131 118.554519 \nL 87.085724 113.051844 \nL 86.368415 108.00391 \nL 86.411166 103.569509 \nL 87.25976 99.889202 \nL 88.934944 97.073804 \nL 91.429066 95.194949 \nL 94.70476 94.27934 \nL 98.695996 94.307779 \nL 103.311571 95.219082 \nL 108.440602 96.918145 \nL 113.959472 99.286886 \nL 119.739297 102.195959 \nL 125.653183 105.515744 \nL 131.582417 109.125233 \nL 137.42127 112.918072 \nL 143.080103 116.805793 \nL 148.486856 120.718568 \nL 153.587157 124.604154 \nL 158.343328 128.425679 \nL 162.732701 132.158898 \nL 166.745475 135.789423 \nL 170.382453 139.310122 \nL 173.652795 142.718969 \nL 176.571949 146.017293 \nL 179.15981 149.208462 \nL 181.439163 152.296945 \nL 183.434388 155.287634 \nL 185.170435 158.185474 \nL 186.672024 160.995171 \nL 187.963057 163.72109 \nL 189.066192 166.367205 \nL 190.002562 168.937081 \nL 191.451019 173.860561 \nL 192.442706 178.513406 \nL 193.084271 182.913548 \nL 193.457256 187.076158 \nL 193.621626 191.014466 \nL 193.564936 196.526799 \nL 193.213338 201.595594 \nL 192.595379 206.250316 \nL 192.030268 209.135251 \nL 191.328562 211.85172 \nL 190.470517 214.402747 \nL 189.429316 216.788683 \nL 188.170404 219.006215 \nL 186.650429 221.046934 \nL 184.815812 222.895214 \nL 183.760541 223.739601 \nL 182.600965 224.525126 \nL 181.326663 225.2462 \nL 179.926189 225.895915 \nL 178.386998 226.465796 \nL 176.695371 226.945477 \nL 174.836352 227.322325 \nL 172.793697 227.581004 \nL 170.549837 227.702955 \nL 168.085881 227.665784 \nL 165.381653 227.442573 \nL 162.415804 227.001086 \nL 159.166005 226.302889 \nL 155.609265 225.302402 \nL 151.722415 223.945927 \nL 147.482799 222.170698 \nL 142.869264 219.90409 \nL 137.863507 217.063137 \nL 132.451871 213.554633 \nL 126.627725 209.276138 \nL 120.394474 204.118395 \nL 113.769368 197.969767 \nL 106.78809 190.723379 \nL 99.510135 182.287804 \nL 92.024788 172.601883 \nL 84.457267 161.653992 \nL 76.974369 149.505204 \nL 69.788399 136.314403 \nL 63.157901 122.3615 \nL 57.383141 108.062508 \nL 52.7945 93.968447 \nL 49.732106 80.739548 \nL 48.51655 69.089318 \nL 49.412832 59.699687 \nL 52.592181 53.119464 \nL 58.099199 49.668511 \nL 65.832763 49.375403 \nL 75.547061 51.970366 \nL 86.874927 56.93887 \nL 99.369379 63.620461 \nL 112.554275 71.322789 \nL 139.226594 87.412697 \nL 151.995761 94.954295 \nL 164.048502 101.837446 \nL 175.235244 107.968902 \nL 185.477011 113.33651 \nL 194.750553 117.979144 \nL 203.073505 121.963187 \nL 217.066703 128.265381 \nL 227.981033 132.836117 \nL 236.409648 136.154455 \nL 245.573561 139.506381 \nL 251.856205 141.523527 \nL 254.97782 142.333863 \nL 257.508813 142.805394 \nL 259.606596 142.990267 \nL 261.381556 142.929371 \nL 262.907324 142.658193 \nL 264.229264 142.21066 \nL 265.371586 141.621585 \nL 266.343254 140.927977 \nL 267.476318 139.778666 \nL 268.196205 138.624768 \nL 268.432419 137.923186 \nL 268.468209 137.321696 \nL 268.305364 136.854284 \nL 267.952947 136.54796 \nL 267.42785 136.421191 \nL 266.754589 136.482972 \nL 265.964358 136.732604 \nL 264.640151 137.435326 \nL 263.269531 138.470275 \nL 261.987627 139.741683 \nL 260.916619 141.136677 \nL 260.155411 142.536317 \nL 259.773611 143.824089 \nL 259.749881 144.566628 \nL 259.91558 145.182262 \nL 260.267812 145.645266 \nL 260.797618 145.933719 \nL 261.490056 146.030227 \nL 262.324326 145.92281 \nL 263.273891 145.605857 \nL 264.306705 145.081209 \nL 265.929417 143.929899 \nL 267.511494 142.411369 \nL 268.896597 140.649565 \nL 269.633416 139.421344 \nL 270.171706 138.216601 \nL 270.47677 137.095483 \nL 270.523805 136.116647 \nL 270.300345 135.333074 \nL 269.807983 134.787994 \nL 269.063013 134.511676 \nL 268.095834 134.519394 \nL 266.949151 134.810859 \nL 265.675119 135.371129 \nL 264.331857 136.172649 \nL 262.979693 137.178001 \nL 261.677642 138.342978 \nL 260.480391 139.619407 \nL 259.436036 140.957607 \nL 258.584632 142.308223 \nL 257.95747 143.623482 \nL 257.576936 144.858 \nL 257.456774 145.96923 \nL 257.602516 146.917771 \nL 258.011966 147.667663 \nL 258.675544 148.186805 \nL 259.576436 148.447653 \nL 260.690581 148.428242 \nL 261.986437 148.113596 \nL 263.42474 147.497503 \nL 264.958348 146.584583 \nL 266.532349 145.392417 \nL 268.084771 143.953471 \nL 269.547997 142.316316 \nL 270.851269 140.545721 \nL 271.924202 138.72103 \nL 272.701323 136.932565 \nL 273.1273 135.275923 \nL 273.162301 133.844677 \nL 273.026163 133.240285 \nL 272.786703 132.722334 \nL 272.445182 132.29844 \nL 272.004396 131.974723 \nL 271.468699 131.755692 \nL 270.843906 131.644181 \nL 269.357014 131.746578 \nL 267.614944 132.271473 \nL 265.702674 133.185219 \nL 263.712204 134.436093 \nL 261.735793 135.960255 \nL 259.860098 137.687579 \nL 258.161753 139.54636 \nL 256.704642 141.466734 \nL 255.538772 143.38264 \nL 254.700467 145.232631 \nL 254.213401 146.95992 \nL 254.090054 148.511909 \nL 254.333199 149.839686 \nL 254.937098 150.897551 \nL 255.370407 151.311846 \nL 255.888251 151.642975 \nL 256.48776 151.886199 \nL 257.917756 152.091478 \nL 259.62694 151.896691 \nL 261.572297 151.278956 \nL 263.699898 150.226885 \nL 265.943597 148.744735 \nL 268.224245 146.857004 \nL 270.449958 144.612963 \nL 272.517945 142.089933 \nL 274.318477 139.394291 \nL 275.74125 136.658723 \nL 276.684074 134.034895 \nL 276.948298 132.814587 \nL 277.063114 131.681411 \nL 277.022638 130.653721 \nL 276.823359 129.748272 \nL 276.464345 128.979762 \nL 275.947376 128.360375 \nL 275.276989 127.89949 \nL 274.460431 127.603438 \nL 273.50753 127.475401 \nL 272.430494 127.515465 \nL 271.243578 127.720736 \nL 269.962752 128.085597 \nL 268.605295 128.602059 \nL 265.733565 130.048179 \nL 262.776486 131.962648 \nL 259.876757 134.236668 \nL 257.161688 136.759988 \nL 254.736962 139.428373 \nL 252.684065 142.147526 \nL 251.060864 144.834122 \nL 249.904275 147.414874 \nL 249.234009 149.824513 \nL 249.083679 150.946397 \nL 249.056507 152.003488 \nL 249.15179 152.988868 \nL 249.36838 153.895712 \nL 249.704738 154.717246 \nL 250.158975 155.44674 \nL 250.728855 156.077445 \nL 251.411807 156.60262 \nL 252.204896 157.015536 \nL 253.104783 157.309504 \nL 254.107665 157.477919 \nL 255.209204 157.514349 \nL 256.404434 157.412616 \nL 257.687653 157.166958 \nL 259.052314 156.772167 \nL 260.490893 156.223786 \nL 261.994778 155.518349 \nL 263.554107 154.653662 \nL 265.157695 153.629069 \nL 266.792888 152.445796 \nL 268.445506 151.107307 \nL 270.099785 149.619616 \nL 271.738375 147.991644 \nL 273.342388 146.235507 \nL 274.891541 144.366761 \nL 276.36433 142.404528 \nL 277.738347 140.371545 \nL 278.990655 138.293996 \nL 280.098257 136.201224 \nL 281.038684 134.125216 \nL 281.790638 132.099875 \nL 282.334684 130.160133 \nL 282.653981 128.34088 \nL 282.735009 126.675788 \nL 282.568206 125.196114 \nL 282.14853 123.929497 \nL 281.475876 122.89893 \nL 280.5553 122.121901 \nL 279.397046 121.609831 \nL 278.016349 121.367806 \nL 276.433043 121.394672 \nL 274.670925 121.683388 \nL 272.757025 122.221729 \nL 270.720726 122.993124 \nL 268.592844 123.977644 \nL 266.404696 125.153037 \nL 264.187226 126.495706 \nL 261.970225 127.981626 \nL 257.647257 131.289327 \nL 253.629804 134.900024 \nL 250.066562 138.662594 \nL 247.05993 142.453841 \nL 245.785844 144.328748 \nL 244.671054 146.175752 \nL 243.718142 147.985636 \nL 242.928233 149.750019 \nL 242.301279 151.461182 \nL 241.83632 153.111893 \nL 241.531734 154.695232 \nL 241.385427 156.204486 \nL 241.395026 157.633 \nL 241.558011 158.974042 \nL 241.871826 160.220755 \nL 242.333956 161.366015 \nL 242.941962 162.402394 \nL 243.69351 163.322079 \nL 244.586337 164.116816 \nL 245.618223 164.777883 \nL 246.786898 165.296073 \nL 248.089957 165.6617 \nL 249.524715 165.864622 \nL 251.088059 165.89433 \nL 252.776255 165.74004 \nL 254.584726 165.390871 \nL 256.50782 164.836064 \nL 258.53853 164.065282 \nL 260.668213 163.068975 \nL 262.886275 161.83889 \nL 265.179852 160.368594 \nL 267.533514 158.654171 \nL 269.928948 156.694967 \nL 272.34472 154.494412 \nL 274.756085 152.060911 \nL 277.134884 149.408721 \nL 279.449609 146.558756 \nL 281.665563 143.539253 \nL 283.745302 140.386198 \nL 285.649246 137.143418 \nL 287.33657 133.862207 \nL 288.766365 130.600433 \nL 289.898989 127.421016 \nL 290.697682 124.389871 \nL 291.130248 121.573307 \nL 291.170762 119.035035 \nL 290.801208 116.833041 \nL 290.012827 115.016562 \nL 288.807084 113.623525 \nL 287.196155 112.678609 \nL 285.202835 112.19228 \nL 282.859841 112.160811 \nL 280.208539 112.567251 \nL 277.297235 113.383331 \nL 274.179123 114.571897 \nL 270.910072 116.089669 \nL 267.546427 117.890099 \nL 264.143004 119.925864 \nL 260.751318 122.151081 \nL 257.418262 124.522903 \nL 254.185121 127.002619 \nL 251.087039 129.556217 \nL 248.152821 132.154558 \nL 245.405071 134.773204 \nL 242.860558 137.39202 \nL 240.530759 139.994659 \nL 238.422512 142.568007 \nL 236.538723 145.10159 \nL 234.879072 147.587042 \nL 233.440713 150.017632 \nL 232.218909 152.387854 \nL 231.207603 154.693062 \nL 230.399932 156.929205 \nL 229.78864 159.092557 \nL 229.366451 161.179559 \nL 229.126351 163.18663 \nL 229.061815 165.110034 \nL 229.166978 166.945762 \nL 229.436764 168.689424 \nL 229.866965 170.336152 \nL 230.454273 171.880474 \nL 231.196316 173.316238 \nL 232.09162 174.636475 \nL 233.139572 175.833321 \nL 234.340368 176.897892 \nL 235.694906 177.820164 \nL 237.204671 178.58887 \nL 238.871609 179.191373 \nL 240.697933 179.613599 \nL 242.685934 179.83994 \nL 244.837716 179.853215 \nL 247.154906 179.634695 \nL 249.638303 179.164142 \nL 252.287463 178.420038 \nL 255.100223 177.37983 \nL 258.072134 176.020449 \nL 261.195842 174.318935 \nL 264.460367 172.253386 \nL 267.850354 169.804168 \nL 271.345223 166.955446 \nL 274.918369 163.697076 \nL 278.53632 160.026828 \nL 282.158069 155.952871 \nL 285.734559 151.496446 \nL 289.208455 146.694477 \nL 292.514381 141.601893 \nL 295.579695 136.293248 \nL 298.326008 130.863238 \nL 300.671435 125.425603 \nL 302.533743 120.110125 \nL 303.834269 115.057426 \nL 304.50242 110.41166 \nL 304.480498 106.311486 \nL 303.728408 102.880309 \nL 302.227647 100.216758 \nL 299.984123 98.386884 \nL 297.029341 97.419264 \nL 293.419587 97.303753 \nL 289.233235 97.994196 \nL 284.566266 99.414515 \nL 279.526626 101.46724 \nL 274.227986 104.043022 \nL 268.7836 107.029772 \nL 263.30087 110.320368 \nL 257.877007 113.818295 \nL 252.596038 117.441008 \nL 247.527141 121.121238 \nL 242.724189 124.806701 \nL 238.226274 128.458671 \nL 234.05892 132.049949 \nL 230.235765 135.562657 \nL 226.760437 138.986073 \nL 223.628468 142.314742 \nL 220.829133 145.546885 \nL 218.347113 148.683142 \nL 216.163939 151.725647 \nL 214.259229 154.677362 \nL 212.611687 157.541605 \nL 211.199901 160.32174 \nL 210.002956 163.021023 \nL 209.000891 165.642477 \nL 208.175013 168.188858 \nL 207.508119 170.662652 \nL 206.984614 173.06607 \nL 206.313727 177.669398 \nL 206.070781 182.011818 \nL 206.189421 186.103083 \nL 206.626141 189.949907 \nL 207.35767 193.555729 \nL 208.378621 196.920172 \nL 209.699673 200.037937 \nL 211.346388 202.897177 \nL 212.30378 204.223792 \nL 213.358659 205.477121 \nL 214.518253 206.652616 \nL 215.790705 207.744686 \nL 217.185093 208.746503 \nL 218.71145 209.649773 \nL 220.380779 210.444497 \nL 222.20505 211.118669 \nL 224.197203 211.657933 \nL 226.371105 212.045192 \nL 228.741498 212.260172 \nL 231.323883 212.278936 \nL 234.134356 212.073355 \nL 237.189361 211.610542 \nL 240.505334 210.852307 \nL 244.098213 209.754646 \nL 247.982773 208.267305 \nL 252.171737 206.333579 \nL 256.67463 203.890429 \nL 261.496304 200.869087 \nL 266.635079 197.19644 \nL 272.080488 192.797434 \nL 277.810541 187.598883 \nL 283.788584 181.535037 \nL 289.959764 174.555216 \nL 296.247352 166.633822 \nL 302.549189 157.782506 \nL 308.734745 148.063968 \nL 314.643544 137.606064 \nL 320.085783 126.61388 \nL 324.846193 115.376522 \nL 328.692161 104.264632 \nL 331.386647 93.714687 \nL 332.705902 84.197939 \nL 332.460892 76.174506 \nL 330.519831 70.038217 \nL 326.828412 66.062079 \nL 321.423343 64.357043 \nL 314.435734 64.855387 \nL 306.082517 67.324356 \nL 296.646706 71.407171 \nL 286.449979 76.680492 \nL 275.822718 82.713951 \nL 265.076751 89.118925 \nL 234.58964 107.816782 \nL 196.687207 131.192487 \nL 186.320812 137.900857 \nL 178.130798 143.525944 \nL 171.637366 148.295321 \nL 156.35461 159.907573 \nL 154.593697 160.986755 \nL 152.852916 161.918226 \nL 151.112286 162.697399 \nL 149.354725 163.318624 \nL 147.565862 163.775305 \nL 145.733893 164.060082 \nL 143.849474 164.164939 \nL 141.90566 164.081425 \nL 139.897903 163.800826 \nL 137.824059 163.314446 \nL 135.684481 162.613936 \nL 133.482115 161.691664 \nL 131.222637 160.541179 \nL 128.91463 159.157784 \nL 126.569741 157.539129 \nL 124.202824 155.685939 \nL 121.832117 153.602766 \nL 119.479274 151.298783 \nL 117.169394 148.788551 \nL 114.930897 146.092731 \nL 112.795266 143.238673 \nL 110.796622 140.260714 \nL 108.971067 137.200254 \nL 107.355839 134.105329 \nL 105.988252 131.029798 \nL 104.904377 128.031969 \nL 104.137644 125.172703 \nL 103.717271 122.513101 \nL 103.66671 120.111869 \nL 104.002241 118.022544 \nL 104.731713 116.290804 \nL 105.853691 114.952229 \nL 107.357007 114.030527 \nL 109.220854 113.536658 \nL 111.415349 113.468768 \nL 113.902647 113.812968 \nL 116.638458 114.544921 \nL 119.573837 115.631949 \nL 122.657159 117.035436 \nL 125.836099 118.713275 \nL 129.059458 120.622221 \nL 132.27876 122.719827 \nL 135.449552 124.966011 \nL 138.532317 127.32409 \nL 141.493041 129.761445 \nL 144.303446 132.249722 \nL 146.940948 134.764805 \nL 149.388373 137.286491 \nL 151.633501 139.79811 \nL 153.668511 142.28603 \nL 155.489349 144.739154 \nL 157.095095 147.148427 \nL 158.487329 149.506429 \nL 159.669537 151.80694 \nL 160.646573 154.044657 \nL 161.42419 156.214868 \nL 162.008617 158.313239 \nL 162.40622 160.335619 \nL 162.623215 162.277863 \nL 162.665454 164.135699 \nL 162.538237 165.904592 \nL 162.246203 167.579632 \nL 161.793233 169.15544 \nL 161.182418 170.626043 \nL 160.416038 171.984786 \nL 159.49558 173.224223 \nL 158.421785 174.336006 \nL 157.194719 175.3108 \nL 155.813867 176.138172 \nL 154.27826 176.806489 \nL 152.586626 177.302843 \nL 150.73758 177.612978 \nL 148.729852 177.721273 \nL 146.562552 177.61074 \nL 144.235479 177.263085 \nL 141.749492 176.658872 \nL 139.106944 175.777786 \nL 136.312167 174.599032 \nL 133.372034 173.101896 \nL 130.296571 171.266551 \nL 127.099637 169.075058 \nL 123.799649 166.512678 \nL 120.420315 163.569481 \nL 116.991331 160.242199 \nL 113.549024 156.536364 \nL 110.136835 152.468585 \nL 106.805553 148.068844 \nL 103.613207 143.382538 \nL 100.624508 138.472113 \nL 97.909686 133.417746 \nL 95.542694 128.316865 \nL 93.598668 123.282088 \nL 92.150735 118.437374 \nL 91.266184 113.912344 \nL 91.002339 109.835009 \nL 91.402368 106.323535 \nL 92.491506 103.477877 \nL 94.27412 101.372289 \nL 96.732043 100.049865 \nL 99.824481 99.519933 \nL 103.489595 99.758681 \nL 107.647695 100.712907 \nL 112.205686 102.306279 \nL 117.062312 104.44708 \nL 122.113599 107.036307 \nL 127.258031 109.975045 \nL 132.400923 113.170435 \nL 137.457765 116.539831 \nL 142.356425 120.013072 \nL 147.038237 123.533158 \nL 151.458096 127.055763 \nL 155.583795 130.547852 \nL 159.394845 133.985981 \nL 162.880941 137.354416 \nL 166.040295 140.643361 \nL 168.87796 143.847414 \nL 171.404248 146.96426 \nL 173.633299 149.993677 \nL 175.581827 152.936746 \nL 177.268072 155.795306 \nL 178.710931 158.571559 \nL 179.929277 161.267796 \nL 180.941422 163.886272 \nL 181.764727 166.429053 \nL 182.415318 168.898022 \nL 182.907901 171.294811 \nL 183.255648 173.620809 \nL 183.470142 175.877154 \nL 183.561369 178.064733 \nL 183.406102 182.235861 \nL 182.838992 186.135965 \nL 181.886521 189.76192 \nL 181.268352 191.469501 \nL 180.554516 193.104536 \nL 179.742809 194.664623 \nL 178.829933 196.146705 \nL 177.811534 197.546967 \nL 176.682221 198.860706 \nL 175.435598 200.082187 \nL 174.064274 201.204459 \nL 172.559883 202.219163 \nL 170.913113 203.11631 \nL 169.113734 203.884004 \nL 167.150642 204.508152 \nL 165.011932 204.972121 \nL 162.684999 205.256388 \nL 160.156682 205.338115 \nL 157.413471 205.190761 \nL 154.441775 204.783653 \nL 151.228323 204.081582 \nL 147.760649 203.044506 \nL 144.027772 201.627335 \nL 140.021037 199.779974 \nL 135.735212 197.447684 \nL 131.169839 194.571931 \nL 126.330873 191.091913 \nL 121.232695 186.947024 \nL 115.900404 182.08044 \nL 110.37242 176.444172 \nL 104.703293 170.005652 \nL 98.966514 162.756031 \nL 93.257063 154.719902 \nL 87.693266 145.965801 \nL 82.417428 136.616412 \nL 77.594514 126.856559 \nL 73.4082 116.936587 \nL 70.053677 107.168378 \nL 67.726812 97.911515 \nL 66.609937 89.548409 \nL 66.85525 82.449418 \nL 68.567649 76.931988 \nL 71.789681 73.220859 \nL 76.49147 71.417825 \nL 82.568125 71.488609 \nL 89.845852 73.270777 \nL 98.096287 76.501057 \nL 107.05672 80.855553 \nL 116.452813 85.993246 \nL 126.020016 91.593867 \nL 135.520848 97.384374 \nL 153.571502 108.74616 \nL 169.53831 119.077116 \nL 182.988785 128.082627 \nL 193.945478 135.839179 \nL 198.571438 139.311398 \nL 202.691672 142.548665 \nL 209.6236 148.412312 \nL 215.158075 153.584989 \nL 219.683266 158.168812 \nL 227.004376 165.762234 \nL 230.315883 168.786826 \nL 231.973471 170.096757 \nL 233.659392 171.2645 \nL 235.391278 172.282957 \nL 237.184812 173.143696 \nL 239.053868 173.836963 \nL 241.010606 174.351664 \nL 243.065517 174.675364 \nL 245.227414 174.794329 \nL 247.503358 174.693583 \nL 249.898535 174.357059 \nL 252.41605 173.767763 \nL 255.056657 172.908122 \nL 257.818431 171.760385 \nL 260.696352 170.307253 \nL 263.681851 168.532616 \nL 266.762277 166.42256 \nL 269.920357 163.966612 \nL 273.133631 161.159136 \nL 276.373937 158.001035 \nL 279.606979 154.501594 \nL 282.792037 150.68035 \nL 285.881927 146.568959 \nL 288.823265 142.212762 \nL 291.557173 137.67187 \nL 294.020426 133.021415 \nL 296.147239 128.350793 \nL 297.871566 123.761507 \nL 299.129971 119.363603 \nL 299.864932 115.270679 \nL 300.02836 111.593674 \nL 299.585027 108.434059 \nL 298.515664 105.877015 \nL 296.819226 103.985497 \nL 294.514131 102.795995 \nL 291.638186 102.316542 \nL 288.24713 102.527361 \nL 284.411898 103.383929 \nL 280.214885 104.822017 \nL 275.745572 106.763946 \nL 271.09596 109.125148 \nL 266.356243 111.820219 \nL 261.611082 114.767926 \nL 256.936704 117.89483 \nL 252.398928 121.137389 \nL 248.052109 124.442861 \nL 243.938914 127.769088 \nL 240.090735 131.083605 \nL 236.528615 134.362365 \nL 233.264458 137.588253 \nL 230.30242 140.749656 \nL 227.640315 143.839151 \nL 225.271005 146.8524 \nL 223.183648 149.787206 \nL 221.364833 152.642847 \nL 219.799529 155.4195 \nL 218.4719 158.117865 \nL 217.365955 160.738885 \nL 216.466059 163.283564 \nL 215.757334 165.752848 \nL 215.225943 168.147501 \nL 214.859301 170.468095 \nL 214.646204 172.714952 \nL 214.576914 174.888098 \nL 214.643186 176.987261 \nL 214.838278 179.01181 \nL 215.156928 180.960743 \nL 215.595321 182.832621 \nL 216.151043 184.625528 \nL 216.823028 186.336981 \nL 217.611513 187.963881 \nL 218.517974 189.502391 \nL 219.545086 190.947831 \nL 220.696661 192.294558 \nL 221.977605 193.535807 \nL 223.39386 194.663516 \nL 224.952347 195.668141 \nL 226.660902 196.538423 \nL 228.52819 197.261152 \nL 230.563607 197.820898 \nL 232.77715 198.199711 \nL 235.179242 198.376836 \nL 237.780507 198.328391 \nL 240.591492 198.027084 \nL 243.622278 197.441965 \nL 246.882003 196.53827 \nL 250.378249 195.277367 \nL 254.116267 193.616956 \nL 258.098029 191.511526 \nL 262.321073 188.913256 \nL 266.777094 185.773469 \nL 271.450349 182.044819 \nL 276.315786 177.684358 \nL 281.337023 172.657664 \nL 286.464212 166.944077 \nL 291.632006 160.543094 \nL 296.757762 153.481622 \nL 301.740358 145.821646 \nL 306.460049 137.667411 \nL 310.779764 129.170821 \nL 314.54842 120.533405 \nL 317.606553 112.003075 \nL 319.794557 103.86408 \nL 320.963267 96.419409 \nL 320.986318 89.966252 \nL 319.772856 84.767119 \nL 317.279029 81.020981 \nL 313.516166 78.839759 \nL 308.553991 78.235486 \nL 302.517728 79.121175 \nL 295.579262 81.325577 \nL 287.943407 84.618437 \nL 279.831538 88.740754 \nL 271.465006 93.433919 \nL 263.050628 98.462876 \nL 254.769757 103.630915 \nL 246.77165 108.785883 \nL 232.047993 118.661987 \nL 225.452755 123.274701 \nL 219.408383 127.642004 \nL 213.916578 131.764117 \nL 208.962384 135.651158 \nL 204.518632 139.31864 \nL 200.549764 142.784256 \nL 197.014983 146.065806 \nL 193.87074 149.179903 \nL 191.072636 152.141303 \nL 186.340957 157.654376 \nL 182.491041 162.680814 \nL 172.163456 176.897441 \nL 169.291562 179.987447 \nL 167.77374 181.352589 \nL 166.181102 182.588767 \nL 164.499653 183.68747 \nL 162.716194 184.638684 \nL 160.818225 185.430715 \nL 158.793914 186.050051 \nL 156.632108 186.48122 \nL 154.322387 186.706616 \nL 151.855194 186.706412 \nL 149.222033 186.458457 \nL 146.415749 185.938267 \nL 143.430909 185.119107 \nL 140.264284 183.972239 \nL 136.915433 182.467316 \nL 133.387442 180.57311 \nL 129.687777 178.258464 \nL 125.829252 175.493758 \nL 121.831131 172.252782 \nL 117.720302 168.515171 \nL 113.532486 164.269412 \nL 109.31337 159.516391 \nL 105.119564 154.273338 \nL 101.019237 148.577996 \nL 97.092188 142.492492 \nL 93.429189 136.106528 \nL 90.130284 129.538959 \nL 87.301942 122.937164 \nL 85.052837 116.473286 \nL 83.488367 110.336979 \nL 82.704089 104.724445 \nL 82.77852 99.824614 \nL 83.766058 95.803715 \nL 85.690877 92.79033 \nL 88.542672 90.863378 \nL 92.275113 90.045256 \nL 96.807422 90.301296 \nL 102.029045 91.545907 \nL 107.806907 93.654098 \nL 113.994337 96.476168 \nL 120.440508 99.853121 \nL 126.999266 103.630268 \nL 133.536467 107.667641 \nL 139.935274 111.846412 \nL 146.099277 116.071543 \nL 151.953601 120.271477 \nL 157.444374 124.39576 \nL 162.53699 128.411544 \nL 167.213672 132.299827 \nL 171.470673 136.051828 \nL 175.315445 139.665887 \nL 178.763978 143.144948 \nL 181.838411 146.494678 \nL 184.565 149.722099 \nL 186.972434 152.834664 \nL 189.090487 155.839684 \nL 190.948982 158.743983 \nL 192.577022 161.553748 \nL 194.002442 164.274467 \nL 196.348377 169.467414 \nL 198.173708 174.354327 \nL 199.63449 178.959084 \nL 201.413899 185.376023 \nL 203.508949 193.082832 \nL 204.599602 196.590983 \nL 205.79784 199.874219 \nL 207.15793 202.931595 \nL 208.734583 205.75689 \nL 210.586118 208.336795 \nL 211.634887 209.527995 \nL 212.777328 210.648249 \nL 214.02299 211.692529 \nL 215.382143 212.654648 \nL 216.865851 213.527032 \nL 218.486034 214.300491 \nL 220.255517 214.963902 \nL 222.188067 215.503889 \nL 224.298404 215.904411 \nL 226.602192 216.14632 \nL 229.115974 216.206845 \nL 231.857078 216.059023 \nL 234.843411 215.671083 \nL 238.093195 215.005795 \nL 241.624545 214.019832 \nL 245.454897 212.66317 \nL 249.600223 210.878641 \nL 254.073979 208.601714 \nL 258.885727 205.76074 \nL 264.039364 202.277816 \nL 269.530914 198.070628 \nL 275.345794 193.055631 \nL 281.455562 187.152992 \nL 287.814184 180.293753 \nL 294.353888 172.429588 \nL 300.980935 163.545348 \nL 307.571692 153.674086 \nL 313.969721 142.913526 \nL 319.984775 131.441974 \nL 325.394872 119.530359 \nL 329.952697 107.545919 \nL 333.397347 95.942576 \nL 335.471892 85.233909 \nL 335.946094 75.947297 \nL 334.642277 68.563044 \nL 331.460471 63.448173 \nL 326.398038 60.799378 \nL 319.55892 60.610633 \nL 311.149318 62.675817 \nL 301.459368 66.626902 \nL 290.833904 71.997642 \nL 279.638113 78.295292 \nL 268.22448 85.063409 \nL 225.78973 110.718588 \nL 201.235739 125.129168 \nL 183.418906 135.601802 \nL 174.610003 140.98557 \nL 164.735951 147.350609 \nL 155.477202 153.427977 \nL 151.746073 155.582555 \nL 148.283452 157.164694 \nL 146.597205 157.736605 \nL 144.918048 158.158065 \nL 143.232563 158.424988 \nL 141.530157 158.532866 \nL 139.802911 158.476957 \nL 138.045479 158.252548 \nL 136.255013 157.855171 \nL 134.431118 157.280902 \nL 132.575847 156.52668 \nL 130.69368 155.590622 \nL 128.791564 154.472448 \nL 126.8789 153.173869 \nL 124.96757 151.699045 \nL 123.071891 150.055023 \nL 121.20856 148.252151 \nL 119.396532 146.304495 \nL 117.65682 144.230129 \nL 116.012209 142.05135 \nL 114.486866 139.794707 \nL 113.105835 137.490843 \nL 111.894427 135.174121 \nL 110.877491 132.881993 \nL 110.078601 130.65407 \nL 109.519177 128.531012 \nL 109.217594 126.553171 \nL 109.188279 124.759149 \nL 109.440925 123.184252 \nL 109.979837 121.85908 \nL 110.803454 120.808286 \nL 111.904118 120.049629 \nL 113.268118 119.593382 \nL 114.875999 119.442182 \nL 116.703146 119.591289 \nL 118.720587 120.029249 \nL 120.895981 120.738855 \nL 123.19473 121.698331 \nL 125.58108 122.882609 \nL 128.019266 124.264625 \nL 130.474482 125.816496 \nL 132.913789 127.510538 \nL 135.306801 129.32009 \nL 137.626186 131.220126 \nL 139.848009 133.187635 \nL 141.951858 135.20182 \nL 143.920853 137.244155 \nL 145.741509 139.298302 \nL 147.403488 141.349947 \nL 148.899313 143.386589 \nL 150.224009 145.397302 \nL 151.374736 147.37247 \nL 152.350434 149.303566 \nL 153.151444 151.18289 \nL 153.779198 153.003377 \nL 154.235911 154.758399 \nL 154.524312 156.4416 \nL 154.647435 158.046732 \nL 154.608419 159.567534 \nL 154.410372 160.997605 \nL 154.05626 162.330291 \nL 153.54883 163.558606 \nL 152.890579 164.675129 \nL 152.083742 165.671946 \nL 151.13031 166.540556 \nL 150.032096 167.271845 \nL 148.790813 167.856044 \nL 147.408186 168.28272 \nL 145.886103 168.540768 \nL 144.226782 168.618487 \nL 142.432983 168.50364 \nL 140.508251 168.183608 \nL 138.457181 167.645616 \nL 136.285741 166.877012 \nL 134.001593 165.865661 \nL 131.614469 164.600431 \nL 129.136558 163.071817 \nL 126.582889 161.272706 \nL 123.971729 159.199226 \nL 121.324945 156.851742 \nL 118.668282 154.235972 \nL 116.031591 151.364078 \nL 113.448888 148.255802 \nL 110.958246 144.939421 \nL 108.60146 141.45254 \nL 106.423419 137.842412 \nL 104.471166 134.165816 \nL 102.792646 130.488241 \nL 101.435098 126.882292 \nL 100.44317 123.425323 \nL 99.856828 120.196328 \nL 99.709202 117.272227 \nL 100.024457 114.723829 \nL 100.815977 112.61191 \nL 102.08499 110.983648 \nL 103.819781 109.870052 \nL 105.995668 109.284449 \nL 108.575762 109.222414 \nL 111.512452 109.663012 \nL 114.749543 110.571183 \nL 118.224812 111.90101 \nL 121.872805 113.599358 \nL 125.627592 115.609518 \nL 129.425312 117.874543 \nL 133.206335 120.339946 \nL 136.916892 122.955673 \nL 140.510215 125.677345 \nL 143.947115 128.466823 \nL 147.196137 131.292229 \nL 150.233293 134.127565 \nL 153.041538 136.95212 \nL 155.610027 139.749699 \nL 157.933263 142.507844 \nL 160.01022 145.217118 \nL 161.843445 147.870389 \nL 163.43823 150.462297 \nL 164.801859 152.988732 \nL 165.942928 155.446468 \nL 166.870774 157.832833 \nL 167.594991 160.145487 \nL 168.125032 162.382209 \nL 168.469897 164.540735 \nL 168.63789 166.618666 \nL 168.636438 168.61333 \nL 168.471967 170.521689 \nL 168.149815 172.34027 \nL 167.67419 174.065057 \nL 167.048151 175.691387 \nL 166.273622 177.213874 \nL 165.351423 178.626287 \nL 164.281319 179.921437 \nL 163.062094 181.091035 \nL 161.691629 182.125584 \nL 160.167017 183.0142 \nL 158.484691 183.744502 \nL 156.640562 184.302423 \nL 154.630226 184.672093 \nL 152.449179 184.8357 \nL 150.093079 184.773409 \nL 147.55809 184.463308 \nL 144.841262 183.881449 \nL 141.941007 183.001972 \nL 138.857661 181.797433 \nL 135.594141 180.239257 \nL 132.15671 178.298528 \nL 128.555843 175.947027 \nL 124.807213 173.158724 \nL 120.932734 169.911671 \nL 116.961668 166.190408 \nL 112.9317 161.988848 \nL 108.889941 157.313614 \nL 104.893678 152.187638 \nL 101.010775 146.653809 \nL 97.319515 140.778257 \nL 93.907652 134.652698 \nL 90.870568 128.395265 \nL 88.30827 122.149047 \nL 86.321236 116.077857 \nL 85.005158 110.358764 \nL 84.444832 105.171646 \nL 84.707691 100.68639 \nL 85.837616 97.049211 \nL 87.84981 94.3699 \nL 90.727522 92.712024 \nL 94.421254 92.087906 \nL 98.850735 92.459201 \nL 103.909582 93.743144 \nL 109.472089 95.823185 \nL 115.401376 98.562082 \nL 121.55777 101.815287 \nL 127.806611 105.442714 \nL 134.024663 109.317603 \nL 140.104685 113.331983 \nL 145.958137 117.39897 \nL 151.516103 121.452478 \nL 156.728775 125.44515 \nL 161.563904 129.345432 \nL 166.004626 133.134254 \nL 170.046943 136.801915 \nL 173.697178 140.345335 \nL 176.96958 143.76584 \nL 179.884134 147.067466 \nL 182.464714 150.255682 \nL 184.737514 153.336574 \nL 186.729808 156.316278 \nL 188.468971 159.20063 \nL 189.981749 161.995018 \nL 191.293735 164.704309 \nL 192.429008 167.332842 \nL 194.25697 172.36254 \nL 195.622214 177.109919 \nL 196.652291 181.595617 \nL 197.784389 187.869994 \nL 199.388909 198.947918 \nL 200.441125 205.359402 \nL 201.395747 209.704099 \nL 202.162288 212.390464 \nL 203.067444 214.912444 \nL 204.145091 217.270195 \nL 205.434774 219.460122 \nL 206.983475 221.473414 \nL 208.847553 223.293863 \nL 209.918559 224.123928 \nL 211.094891 224.894681 \nL 212.387221 225.600362 \nL 213.807242 226.233867 \nL 215.367746 226.786467 \nL 217.082704 227.247497 \nL 218.967324 227.603966 \nL 221.038111 227.840103 \nL 223.312894 227.936827 \nL 225.810829 227.871123 \nL 228.552344 227.615332 \nL 231.559031 227.136341 \nL 234.853431 226.394683 \nL 238.458697 225.343589 \nL 242.39809 223.927984 \nL 246.694246 222.083572 \nL 251.368135 219.736041 \nL 256.437665 216.800652 \nL 261.915797 213.182428 \nL 267.808081 208.777316 \nL 274.109522 203.474866 \nL 280.800635 197.162979 \nL 287.842741 189.735574 \nL 295.172424 181.103825 \nL 302.69551 171.21174 \nL 310.280842 160.056109 \nL 317.754786 147.710313 \nL 324.897588 134.349609 \nL 331.443274 120.273843 \nL 337.08502 105.920908 \nL 341.488023 91.862638 \nL 344.311307 78.774762 \nL 345.238298 67.376061 \nL 344.013901 58.339413 \nL 340.482597 52.18864 \nL 334.62009 49.205107 \nL 326.549933 49.371863 \nL 316.539177 52.375768 \nL 304.971731 57.669768 \nL 292.304509 64.577001 \nL 279.015989 72.405188 \nL 252.321217 88.505938 \nL 239.612052 95.973654 \nL 227.650525 102.756067 \nL 216.574919 108.774702 \nL 206.45476 114.0276 \nL 197.305974 118.559982 \nL 189.105634 122.441585 \nL 175.338483 128.566591 \nL 164.615391 132.994933 \nL 156.342391 136.198927 \nL 147.356703 139.418204 \nL 141.20702 141.337931 \nL 138.15962 142.100051 \nL 135.697189 142.536326 \nL 133.665937 142.699167 \nL 131.957878 142.629915 \nL 130.50068 142.364421 \nL 129.249236 141.936707 \nL 128.17869 141.38122 \nL 127.278671 140.733981 \nL 126.248215 139.674345 \nL 125.617265 138.626402 \nL 125.404056 137.720018 \nL 125.495389 137.251763 \nL 125.766218 136.92465 \nL 126.202651 136.758218 \nL 126.783874 136.763588 \nL 127.482757 136.943048 \nL 128.680145 137.522678 \nL 129.947133 138.424833 \nL 131.157964 139.566434 \nL 132.19598 140.845577 \nL 132.963895 142.152011 \nL 133.390475 143.375705 \nL 133.463264 144.094059 \nL 133.360091 144.701507 \nL 133.081889 145.17302 \nL 132.635416 145.487062 \nL 132.033136 145.626264 \nL 131.29311 145.578218 \nL 130.438843 145.336355 \nL 129.499045 144.900838 \nL 128.003585 143.903902 \nL 126.522304 142.553396 \nL 125.198484 140.956654 \nL 124.175929 139.261829 \nL 123.725741 138.163875 \nL 123.496457 137.155297 \nL 123.508165 136.288687 \nL 123.769303 135.610635 \nL 124.27539 135.158285 \nL 125.008668 134.95669 \nL 125.938897 135.017211 \nL 127.025146 135.337278 \nL 128.218454 135.901283 \nL 129.464992 136.68249 \nL 131.313833 138.182417 \nL 132.980699 139.947813 \nL 133.914506 141.19593 \nL 134.663219 142.447238 \nL 135.198874 143.657155 \nL 135.501747 144.783268 \nL 135.560167 145.785872 \nL 135.370196 146.628331 \nL 134.935276 147.277493 \nL 134.265957 147.704195 \nL 133.379776 147.884013 \nL 132.301295 147.79838 \nL 131.062226 147.435893 \nL 129.701555 146.793981 \nL 128.265504 145.880763 \nL 126.807176 144.716816 \nL 125.385653 143.336611 \nL 124.064313 141.789251 \nL 122.908296 140.138005 \nL 121.981062 138.458293 \nL 121.340133 136.833971 \nL 121.032392 135.351812 \nL 121.089505 134.094939 \nL 121.259629 133.574205 \nL 121.524035 133.135735 \nL 121.880911 132.785867 \nL 122.327057 132.529555 \nL 122.857917 132.370305 \nL 124.149246 132.349473 \nL 125.69488 132.721542 \nL 127.420754 133.462805 \nL 129.244436 134.531554 \nL 131.081152 135.873048 \nL 132.849307 137.424697 \nL 134.474897 139.120577 \nL 135.894535 140.894933 \nL 137.057065 142.684471 \nL 137.923888 144.429545 \nL 138.468445 146.074622 \nL 138.675163 147.568133 \nL 138.538228 148.862211 \nL 138.060508 149.91235 \nL 137.25281 150.677482 \nL 136.133588 151.120326 \nL 134.729138 151.208385 \nL 133.074238 150.915685 \nL 131.21312 150.225183 \nL 129.200517 149.132002 \nL 127.102504 147.647163 \nL 124.996725 145.801563 \nL 122.97155 143.649436 \nL 121.123702 141.270441 \nL 119.553932 138.769339 \nL 118.360662 136.272178 \nL 117.631843 133.918507 \nL 117.463994 132.840023 \nL 117.435893 131.849911 \nL 117.551604 130.963916 \nL 117.812962 130.196146 \nL 118.219443 129.558693 \nL 118.768115 129.06131 \nL 119.453584 128.711196 \nL 120.268132 128.512818 \nL 121.201834 128.467895 \nL 122.242784 128.575475 \nL 123.377387 128.832059 \nL 125.866672 129.767121 \nL 128.540094 131.204919 \nL 131.263674 133.056492 \nL 133.909729 135.22289 \nL 136.364998 137.604107 \nL 138.53573 140.105183 \nL 140.349584 142.639387 \nL 141.755032 145.129102 \nL 142.719052 147.505077 \nL 143.224002 149.704824 \nL 143.264364 151.670776 \nL 143.111214 152.548993 \nL 142.843957 153.348522 \nL 142.464204 154.062834 \nL 141.973957 154.685463 \nL 141.375605 155.210009 \nL 140.671922 155.630132 \nL 139.866116 155.939587 \nL 138.961854 156.132272 \nL 137.963332 156.20229 \nL 136.875343 156.144041 \nL 135.703365 155.952326 \nL 134.45365 155.622516 \nL 133.133337 155.150679 \nL 131.750531 154.533812 \nL 128.835475 152.858985 \nL 125.796844 150.601635 \nL 122.744125 147.796738 \nL 119.808337 144.519408 \nL 117.139352 140.891649 \nL 115.955325 138.997918 \nL 114.899095 137.084224 \nL 113.990879 135.178572 \nL 113.249935 133.310737 \nL 112.693977 131.51154 \nL 112.338549 129.811976 \nL 112.196435 128.242269 \nL 112.277077 126.830826 \nL 112.586084 125.603268 \nL 113.124844 124.581501 \nL 113.89028 123.782934 \nL 114.874793 123.219933 \nL 116.066349 122.899492 \nL 117.448768 122.823168 \nL 119.00216 122.987312 \nL 120.703549 123.383489 \nL 122.52755 123.999123 \nL 124.447137 124.818283 \nL 126.434452 125.822504 \nL 128.46156 126.991616 \nL 132.527136 129.74012 \nL 136.443308 132.896451 \nL 140.042784 136.305766 \nL 143.198149 139.834251 \nL 145.821775 143.370999 \nL 147.861035 146.825526 \nL 148.652892 148.498175 \nL 149.291073 150.123271 \nL 149.775515 151.693157 \nL 150.106933 153.200538 \nL 150.286637 154.638379 \nL 150.316357 155.999768 \nL 150.19811 157.277813 \nL 149.934079 158.465554 \nL 149.526555 159.555876 \nL 148.977869 160.541443 \nL 148.290382 161.414631 \nL 147.466492 162.167492 \nL 146.508663 162.791746 \nL 145.419487 163.278739 \nL 144.201782 163.619484 \nL 142.858698 163.804698 \nL 141.393864 163.824883 \nL 139.811552 163.67044 \nL 138.116865 163.331831 \nL 136.315954 162.799805 \nL 134.416252 162.065674 \nL 132.426727 161.121659 \nL 130.358134 159.961345 \nL 128.223284 158.580171 \nL 126.037296 156.975992 \nL 123.817832 155.14976 \nL 121.58528 153.106225 \nL 119.362873 150.85462 \nL 117.176741 148.409385 \nL 115.055813 145.790799 \nL 113.031601 143.025454 \nL 111.137795 140.14654 \nL 109.409684 137.193778 \nL 107.88334 134.213071 \nL 106.594627 131.255603 \nL 105.578025 128.376586 \nL 104.865281 125.633452 \nL 104.483981 123.083701 \nL 104.456168 120.782459 \nL 104.796999 118.779932 \nL 105.513663 117.118984 \nL 106.604576 115.833016 \nL 108.059014 114.944434 \nL 109.857211 114.463824 \nL 111.970898 114.389823 \nL 114.364338 114.709941 \nL 116.995706 115.401881 \nL 119.818771 116.435452 \nL 122.784707 117.774792 \nL 125.843932 119.380623 \nL 128.947796 121.212334 \nL 132.050106 123.229847 \nL 135.108307 125.395079 \nL 138.084389 127.672937 \nL 140.945439 130.031968 \nL 143.663893 132.44462 \nL 146.217524 134.887234 \nL 148.589198 137.339804 \nL 150.766496 139.785661 \nL 152.741178 142.210992 \nL 154.508643 144.60442 \nL 156.067308 146.956559 \nL 157.418039 149.259588 \nL 158.563588 151.506896 \nL 159.50808 153.692756 \nL 160.256561 155.812061 \nL 160.814608 157.860081 \nL 161.187984 159.832279 \nL 161.382372 161.724137 \nL 161.40316 163.531017 \nL 161.255261 165.248018 \nL 160.942997 166.86989 \nL 160.470023 168.390904 \nL 159.83927 169.804747 \nL 159.052944 171.104424 \nL 158.112543 172.282174 \nL 157.018905 173.329352 \nL 155.77228 174.236332 \nL 154.372432 174.992435 \nL 152.818779 175.585833 \nL 151.110542 176.003497 \nL 149.246961 176.23114 \nL 147.227507 176.25324 \nL 145.052177 176.053058 \nL 142.721816 175.612775 \nL 140.238488 174.913686 \nL 137.605918 173.936535 \nL 134.829983 172.661962 \nL 131.91926 171.071168 \nL 128.885626 169.146743 \nL 125.74491 166.87377 \nL 122.517571 164.241151 \nL 119.229343 161.24322 \nL 115.911853 157.881585 \nL 112.60313 154.167103 \nL 109.347901 150.122012 \nL 106.197677 145.781872 \nL 103.210396 141.197257 \nL 100.449638 136.434781 \nL 97.983283 131.577244 \nL 95.8815 126.72248 \nL 94.214157 121.980768 \nL 93.047578 117.470537 \nL 92.440945 113.312564 \nL 92.442439 109.622999 \nL 93.085582 106.505779 \nL 94.386063 104.04532 \nL 96.339552 102.300424 \nL 98.9207 101.300314 \nL 102.083678 101.043287 \nL 105.764178 101.498351 \nL 109.882757 102.609343 \nL 114.349181 104.301138 \nL 119.06731 106.486683 \nL 123.940003 109.074192 \nL 128.873646 111.973376 \nL 133.781852 115.1004 \nL 138.588262 118.38121 \nL 143.228248 121.753168 \nL 147.649685 125.165496 \nL 151.812864 128.578615 \nL 155.689784 131.962903 \nL 159.262979 135.297146 \nL 162.524107 138.566877 \nL 165.472411 141.762846 \nL 168.113203 144.879666 \nL 170.456431 147.914699 \nL 172.515394 150.867172 \nL 174.305616 153.7375 \nL 175.843901 156.526807 \nL 177.147559 159.236566 \nL 178.23378 161.868368 \nL 179.119163 164.423769 \nL 179.819356 166.904184 \nL 180.348801 169.310836 \nL 180.720564 171.644721 \nL 180.946225 173.906573 \nL 181.03583 176.096866 \nL 180.997877 178.215788 \nL 180.839331 180.263204 \nL 180.565659 182.238661 \nL 180.180874 184.141318 \nL 179.687596 185.969923 \nL 179.087098 187.722776 \nL 178.37937 189.397611 \nL 177.563167 190.991566 \nL 176.63606 192.501063 \nL 175.594482 193.921697 \nL 174.43377 195.248107 \nL 173.148198 196.47383 \nL 171.731027 197.591115 \nL 170.174532 198.590723 \nL 168.470068 199.461699 \nL 166.60812 200.191112 \nL 164.578388 200.763763 \nL 162.369895 201.16188 \nL 159.971132 201.364769 \nL 157.37025 201.348468 \nL 154.555329 201.0854 \nL 151.514727 200.544051 \nL 148.237528 199.688712 \nL 144.714132 198.479323 \nL 140.93701 196.871527 \nL 136.901651 194.816989 \nL 132.607709 192.264119 \nL 128.060455 189.159357 \nL 123.272444 185.449207 \nL 118.265485 181.083198 \nL 113.07285 176.018023 \nL 107.741643 170.222913 \nL 102.335209 163.686422 \nL 96.935341 156.424376 \nL 91.643996 148.488627 \nL 86.584004 139.975716 \nL 81.898351 131.034096 \nL 77.747357 121.868117 \nL 74.303283 112.736611 \nL 71.741979 103.943969 \nL 70.231596 95.82242 \nL 69.919063 88.705711 \nL 70.915442 82.896518 \nL 73.282275 78.632293 \nL 77.021078 76.056034 \nL 82.068278 75.198478 \nL 88.297056 75.976145 \nL 95.526292 78.206212 \nL 103.535508 81.634751 \nL 112.083325 85.971921 \nL 120.926554 90.926452 \nL 129.837086 96.233404 \nL 138.614691 101.671983 \nL 155.151748 112.317645 \nL 169.678658 122.076026 \nL 181.873337 130.718879 \nL 187.103589 134.635815 \nL 191.792059 138.307697 \nL 195.978077 141.756157 \nL 199.706372 145.002375 \nL 203.024372 148.065746 \nL 205.980173 150.963212 \nL 210.992482 156.314797 \nL 215.095949 161.140457 \nL 223.28475 171.146564 \nL 226.329683 174.330483 \nL 227.892028 175.734659 \nL 229.504849 177.005744 \nL 231.184139 178.136154 \nL 232.944555 179.116905 \nL 234.79953 179.93752 \nL 236.761364 180.585925 \nL 238.841244 181.048376 \nL 241.049225 181.309385 \nL 243.39414 181.351661 \nL 245.883459 181.156109 \nL 248.523054 180.701895 \nL 251.316895 179.966615 \nL 254.26665 178.926569 \nL 257.371196 177.557223 \nL 260.626031 175.833882 \nL 264.022592 173.732643 \nL 267.547481 171.231627 \nL 271.181613 168.312606 \nL 274.899367 164.962995 \nL 278.667689 161.178249 \nL 282.445345 156.964589 \nL 286.182282 152.341919 \nL 289.819379 147.34683 \nL 293.288574 142.035224 \nL 296.513616 136.484316 \nL 299.411605 130.793441 \nL 301.895362 125.083113 \nL 303.87677 119.491929 \nL 305.271017 114.171039 \nL 306.001527 109.276144 \nL 306.005281 104.957559 \nL 305.238056 101.349279 \nL 303.678901 98.558269 \nL 301.333383 96.655638 \nL 298.234895 95.671117 \nL 294.443871 95.591705 \nL 290.04472 96.364844 \nL 285.140915 97.905405 \nL 279.848652 100.1054 \nL 274.289966 102.844755 \nL 268.585952 106.001477 \nL 262.850826 109.46014 \nL 257.187276 113.11793 \nL 251.683318 116.888031 \nL 246.410645 120.7008 \nL 241.424299 124.503084 \nL 236.763396 128.256421 \nL 232.452594 131.934659 \nL 228.503992 135.521402 \nL 224.919226 139.007602 \nL 221.691579 142.389499 \nL 218.807958 145.666906 \nL 216.250661 148.841924 \nL 213.998913 151.917966 \nL 212.03014 154.899082 \nL 210.321 157.78951 \nL 208.848194 160.59342 \nL 207.589073 163.314735 \nL 206.522091 165.957055 \nL 205.627102 168.523647 \nL 204.280611 173.441092 \nL 203.421767 178.087147 \nL 202.949942 182.478115 \nL 202.789791 186.627451 \nL 202.888261 190.546339 \nL 203.211412 194.244022 \nL 203.741532 197.727751 \nL 204.474831 201.002558 \nL 205.419788 204.070715 \nL 206.596183 206.930904 \nL 208.034753 209.576964 \nL 209.777455 211.996061 \nL 210.77921 213.114044 \nL 211.878214 214.16608 \nL 213.083274 215.147333 \nL 214.404104 216.051833 \nL 215.851385 216.872261 \nL 217.436802 217.599699 \nL 219.17309 218.223332 \nL 221.074071 218.730097 \nL 223.154662 219.104268 \nL 225.430873 219.327001 \nL 227.919762 219.375787 \nL 230.639335 219.223851 \nL 233.608391 218.839485 \nL 236.846255 218.185336 \nL 240.372411 217.217673 \nL 244.205936 215.885681 \nL 248.364767 214.130858 \nL 252.86466 211.886635 \nL 257.717847 209.078385 \nL 262.93127 205.624058 \nL 268.504317 201.435744 \nL 274.426059 196.422593 \nL 280.671845 190.495566 \nL 287.199332 183.574504 \nL 293.944024 175.59807 \nL 300.814542 166.536837 \nL 307.688078 156.409391 \nL 314.406685 145.300606 \nL 320.775377 133.380091 \nL 326.563354 120.917371 \nL 331.509713 108.288968 \nL 335.33495 95.971492 \nL 337.759054 84.515606 \nL 338.525809 74.498266 \nL 337.431212 66.456197 \nL 334.35209 60.810747 \nL 329.269502 57.800477 \nL 322.281021 57.439819 \nL 313.597983 59.517393 \nL 303.526581 63.63617 \nL 292.436082 69.284547 \nL 280.72051 75.918432 \nL 256.898063 90.214599 \nL 234.50184 103.659507 \nL 214.944143 114.999747 \nL 198.705431 124.084484 \nL 167.299411 141.43061 \nL 151.580351 150.333546 \nL 147.907073 152.092185 \nL 144.576852 153.30696 \nL 142.986492 153.710796 \nL 141.424183 153.97755 \nL 139.877494 154.105612 \nL 138.336864 154.093222 \nL 136.795407 153.938644 \nL 135.248764 153.64043 \nL 133.694978 153.197628 \nL 132.134379 152.610051 \nL 130.569485 151.878498 \nL 129.004931 151.005037 \nL 127.447384 149.993277 \nL 125.905442 148.84863 \nL 124.389531 147.578541 \nL 121.485849 144.703413 \nL 118.850462 141.47589 \nL 117.673851 139.775058 \nL 116.614073 138.045198 \nL 115.688242 136.31077 \nL 114.912941 134.597904 \nL 114.3037 132.933825 \nL 113.874455 131.346163 \nL 113.63702 129.8622 \nL 113.600548 128.50801 \nL 113.771089 127.307624 \nL 114.151206 126.282231 \nL 114.739724 125.449481 \nL 115.531554 124.822895 \nL 116.517743 124.411511 \nL 117.685604 124.219703 \nL 119.019039 124.247232 \nL 120.498947 124.489486 \nL 122.103802 124.937912 \nL 123.810242 125.580582 \nL 125.593736 126.402856 \nL 127.429239 127.388075 \nL 131.157365 129.774712 \nL 134.806727 132.591591 \nL 138.214363 135.694421 \nL 141.250317 138.953472 \nL 143.819773 142.257497 \nL 145.860568 145.513306 \nL 147.337838 148.642797 \nL 147.860129 150.138903 \nL 148.237539 151.578931 \nL 148.470527 152.955544 \nL 148.5601 154.261637 \nL 148.507693 155.490182 \nL 148.315049 156.634191 \nL 147.984139 157.686594 \nL 147.517114 158.640215 \nL 146.916251 159.487687 \nL 146.183971 160.221436 \nL 145.32285 160.833657 \nL 144.33566 161.316293 \nL 143.225454 161.661089 \nL 141.995643 161.859603 \nL 140.650129 161.903309 \nL 139.193439 161.783679 \nL 137.630887 161.49235 \nL 135.968757 161.021347 \nL 134.214502 160.363284 \nL 132.376947 159.511727 \nL 130.46652 158.461529 \nL 128.495455 157.209293 \nL 126.477999 155.753838 \nL 124.430599 154.096762 \nL 122.372045 152.24301 \nL 120.323554 150.201458 \nL 118.308782 147.985483 \nL 116.353731 145.613457 \nL 114.486547 143.109122 \nL 112.73716 140.501777 \nL 111.136779 137.826244 \nL 109.717198 135.122493 \nL 108.509991 132.434987 \nL 107.545496 129.811576 \nL 106.851709 127.302093 \nL 106.45312 124.9566 \nL 106.369552 122.823441 \nL 106.61504 120.947138 \nL 107.196915 119.366428 \nL 108.115118 118.112474 \nL 109.3618 117.207502 \nL 110.921349 116.663971 \nL 112.770759 116.484314 \nL 114.880374 116.661384 \nL 117.214973 117.179352 \nL 119.735074 118.015089 \nL 122.398425 119.1399 \nL 125.161526 120.521296 \nL 127.981072 122.124769 \nL 130.81529 123.915413 \nL 133.625055 125.859214 \nL 136.374742 127.9241 \nL 139.032835 130.080618 \nL 141.572271 132.302355 \nL 143.970542 134.566044 \nL 146.209604 136.851527 \nL 148.27563 139.141536 \nL 150.158643 141.421411 \nL 151.852063 143.678744 \nL 153.352239 145.903042 \nL 154.657945 148.085344 \nL 155.769902 150.217933 \nL 156.690327 152.294017 \nL 157.422505 154.307488 \nL 157.970437 156.252693 \nL 158.338524 158.124222 \nL 158.531286 159.916763 \nL 158.553162 161.62494 \nL 158.408326 163.243186 \nL 158.100574 164.765638 \nL 157.63323 166.186008 \nL 157.009097 167.497488 \nL 156.230441 168.692666 \nL 155.29901 169.763424 \nL 154.216075 170.70086 \nL 152.982514 171.495206 \nL 151.598913 172.13579 \nL 150.065695 172.610955 \nL 148.383292 172.908062 \nL 146.552361 173.013489 \nL 144.574001 172.912691 \nL 142.450047 172.59031 \nL 140.183392 172.030364 \nL 137.77835 171.216531 \nL 135.241071 170.132549 \nL 132.58001 168.76276 \nL 129.806407 167.092827 \nL 126.934837 165.110587 \nL 123.983725 162.807166 \nL 120.97591 160.178232 \nL 117.939106 157.225462 \nL 114.906306 153.958097 \nL 111.916038 150.394594 \nL 109.012378 146.564177 \nL 106.24475 142.50815 \nL 103.667264 138.280789 \nL 101.337715 133.949542 \nL 99.31605 129.594315 \nL 97.662356 125.30571 \nL 96.434388 121.181972 \nL 95.684731 117.324817 \nL 95.457783 113.834208 \nL 95.786733 110.802596 \nL 96.690908 108.309068 \nL 98.173675 106.414129 \nL 100.221257 105.155869 \nL 102.802632 104.547817 \nL 105.870555 104.578997 \nL 109.363711 105.216101 \nL 113.2098 106.407288 \nL 117.32919 108.087254 \nL 121.638866 110.182784 \nL 126.056261 112.61802 \nL 130.502674 115.319048 \nL 134.906045 118.217433 \nL 139.202932 121.252509 \nL 143.339747 124.372562 \nL 147.273219 127.535046 \nL 150.970256 130.706149 \nL 154.407331 133.859842 \nL 157.569517 136.97673 \nL 160.449353 140.042841 \nL 163.045617 143.048473 \nL 165.362088 145.98716 \nL 167.4064 148.854808 \nL 169.188984 151.648991 \nL 170.722143 154.368409 \nL 172.019267 157.012456 \nL 173.094176 159.580928 \nL 173.960595 162.0738 \nL 174.631735 164.491056 \nL 175.119978 166.832575 \nL 175.436648 169.098051 \nL 175.591843 171.28694 \nL 175.594338 173.398374 \nL 175.451515 175.431144 \nL 175.169347 177.383617 \nL 174.752397 179.253698 \nL 174.20384 181.038751 \nL 173.525491 182.735525 \nL 172.717858 184.34007 \nL 171.780192 185.847622 \nL 170.710544 187.252496 \nL 169.505818 188.547944 \nL 168.161853 189.726 \nL 166.673488 190.777309 \nL 165.034653 191.690923 \nL 163.238466 192.454102 \nL 161.27736 193.052082 \nL 159.14323 193.46784 \nL 156.827626 193.681842 \nL 154.321981 193.671814 \nL 151.61793 193.412536 \nL 148.707666 192.875689 \nL 145.584428 192.029779 \nL 142.243076 190.840217 \nL 138.680823 189.269591 \nL 134.898113 187.278212 \nL 130.899662 184.825046 \nL 126.695688 181.869161 \nL 122.303331 178.371737 \nL 117.748229 174.298878 \nL 113.066193 169.625218 \nL 108.304926 164.338434 \nL 103.525651 158.444518 \nL 98.804382 151.973713 \nL 94.232674 144.986513 \nL 89.91747 137.579097 \nL 85.979661 129.887125 \nL 82.551079 122.08668 \nL 79.769545 114.391015 \nL 77.771963 107.041992 \nL 76.685577 100.295813 \nL 76.618001 94.403666 \nL 77.646978 89.589086 \nL 79.811204 86.025328 \nL 83.10367 83.81679 \nL 87.468897 82.988014 \nL 92.804759 83.482972 \nL 98.969085 85.174818 \nL 105.790126 87.884066 \nL 113.079417 91.401446 \nL 120.645216 95.510948 \nL 128.304736 100.009393 \nL 135.893848 104.720088 \nL 143.27357 109.500051 \nL 150.333331 114.241618 \nL 156.991395 118.869786 \nL 163.193122 123.337247 \nL 168.907864 127.618398 \nL 174.125129 131.703519 \nL 178.850579 135.593675 \nL 183.102202 139.296617 \nL 186.906893 142.823724 \nL 190.29754 146.187835 \nL 193.310635 149.401862 \nL 195.984387 152.477903 \nL 198.357291 155.426802 \nL 200.467068 158.257977 \nL 204.040129 163.597546 \nL 206.968011 168.544334 \nL 215.10291 183.068084 \nL 217.465127 186.421899 \nL 218.729158 187.955082 \nL 220.06581 189.386327 \nL 221.487573 190.709674 \nL 223.006695 191.91791 \nL 224.635291 193.002386 \nL 226.385427 193.952825 \nL 228.26918 194.757119 \nL 230.298655 195.401073 \nL 232.485958 195.868149 \nL 234.84313 196.139212 \nL 237.382013 196.19224 \nL 240.114048 196.002078 \nL 243.049991 195.540211 \nL 246.19951 194.77461 \nL 249.570681 193.669716 \nL 253.169315 192.186566 \nL 256.998139 190.283215 \nL 261.055768 187.915512 \nL 265.335485 185.038333 \nL 269.8238 181.607505 \nL 274.498792 177.58242 \nL 279.328317 172.929643 \nL 284.268079 167.627457 \nL 289.259728 161.671445 \nL 294.229222 155.080917 \nL 299.085612 147.905755 \nL 303.720689 140.233066 \nL 308.009877 132.19252 \nL 311.814754 123.959017 \nL 314.987643 115.751153 \nL 317.378483 107.823982 \nL 318.843901 100.455182 \nL 319.258026 93.924826 \nL 318.524096 88.490416 \nL 316.585386 84.360508 \nL 313.43385 81.671479 \nL 309.114711 80.472055 \nL 303.725929 80.719278 \nL 297.412172 82.286866 \nL 290.353924 84.984388 \nL 282.753389 88.582916 \nL 274.819294 92.842001 \nL 266.752678 97.533106 \nL 258.735386 102.456526 \nL 250.922189 107.450542 \nL 243.436667 112.393806 \nL 236.370442 117.202549 \nL 229.784955 121.824811 \nL 223.714912 126.233505 \nL 218.172561 130.419568 \nL 213.152222 134.386013 \nL 208.63458 138.143188 \nL 204.590517 141.705235 \nL 200.984365 145.08766 \nL 197.776553 148.305728 \nL 194.925678 151.373541 \nL 192.390075 154.303548 \nL 188.103217 159.790896 \nL 184.612552 164.831843 \nL 180.300077 171.636978 \nL 176.462962 177.574795 \nL 173.887538 181.041475 \nL 172.542322 182.618738 \nL 171.138308 184.085826 \nL 169.661247 185.436732 \nL 168.097565 186.664178 \nL 166.434233 187.759453 \nL 164.658657 188.712283 \nL 162.758622 189.51062 \nL 160.722248 190.140474 \nL 158.538016 190.585692 \nL 156.194848 190.827767 \nL 153.682235 190.845642 \nL 150.990441 190.615557 \nL 148.110803 190.110953 \nL 145.036121 189.302464 \nL 141.761177 188.15803 \nL 138.283361 186.643236 \nL 134.603471 184.7219 \nL 130.726642 182.357014 \nL 126.66347 179.512163 \nL 122.431265 176.153447 \nL 118.055439 172.252109 \nL 113.571006 167.787873 \nL 109.02404 162.752985 \nL 104.473024 157.156959 \nL 99.989896 151.031706 \nL 95.660535 144.436711 \nL 91.584434 137.46351 \nL 87.873248 130.238729 \nL 84.647895 122.924451 \nL 82.034042 115.715021 \nL 80.155864 108.829266 \nL 79.12832 102.498002 \nL 79.048376 96.94718 \nL 79.98612 92.378512 \nL 81.976771 88.950127 \nL 85.014909 86.760463 \nL 89.051944 85.838557 \nL 93.997582 86.142745 \nL 99.725285 87.568221 \nL 106.081132 89.961793 \nL 112.894917 93.141032 \nL 119.991829 96.913992 \nL 127.203368 101.096558 \nL 134.37625 105.525173 \nL 141.37863 110.064176 \nL 148.103558 114.608318 \nL 154.469888 119.081422 \nL 160.421221 123.432633 \nL 165.923471 127.631614 \nL 170.961663 131.663541 \nL 175.536433 135.524568 \nL 179.6606 139.218047 \nL 183.356019 142.751646 \nL 186.65084 146.135177 \nL 189.57722 149.379183 \nL 192.169475 152.493987 \nL 194.462646 155.489152 \nL 196.491421 158.373232 \nL 198.289356 161.153664 \nL 201.318336 166.42793 \nL 203.78012 171.351069 \nL 206.82913 178.131729 \nL 209.565127 184.225836 \nL 211.419649 187.911597 \nL 213.417197 191.287002 \nL 215.648707 194.333591 \nL 216.879462 195.724479 \nL 218.201354 197.020365 \nL 219.625405 198.214765 \nL 221.162883 199.299844 \nL 222.825383 200.266205 \nL 224.624884 201.10264 \nL 226.573772 201.795865 \nL 228.684837 202.330215 \nL 230.971226 202.687311 \nL 233.446362 202.845702 \nL 236.123768 202.780497 \nL 239.016857 202.462979 \nL 242.138594 201.860275 \nL 245.501037 200.935072 \nL 249.114764 199.645444 \nL 252.988083 197.94491 \nL 257.126054 195.782762 \nL 261.529273 193.104855 \nL 266.192367 189.854982 \nL 271.102193 185.977063 \nL 276.235774 181.41836 \nL 281.557927 176.133926 \nL 287.018775 170.092477 \nL 292.551156 163.283675 \nL 298.06832 155.726777 \nL 303.462167 147.479998 \nL 308.60258 138.649736 \nL 313.338346 129.398073 \nL 317.500426 119.94656 \nL 320.907997 110.573838 \nL 323.377742 101.604944 \nL 324.736169 93.39103 \nL 324.834334 86.279853 \nL 323.56338 80.580128 \nL 320.86878 76.525225 \nL 316.760688 74.243418 \nL 311.318161 73.741584 \nL 304.685768 74.906749 \nL 297.062644 77.52559 \nL 288.685564 81.317135 \nL 279.808843 85.971257 \nL 270.684261 91.184687 \nL 261.543938 96.688485 \nL 243.977619 107.749249 \nL 228.235106 118.052362 \nL 214.836193 127.193773 \nL 209.046834 131.319928 \nL 203.83944 135.171619 \nL 199.178932 138.771697 \nL 195.022254 142.143842 \nL 191.321747 145.310529 \nL 188.027746 148.291866 \nL 182.461565 153.764578 \nL 177.946372 158.6652 \nL 167.607986 170.389882 \nL 164.438606 173.314604 \nL 162.804254 174.576371 \nL 161.11361 175.695208 \nL 159.351328 176.662522 \nL 157.503526 177.468288 \nL 155.557695 178.100975 \nL 153.502652 178.547522 \nL 151.328551 178.793264 \nL 149.026951 178.821951 \nL 146.590961 178.615769 \nL 144.015431 178.155437 \nL 141.297246 177.420438 \nL 138.435684 176.389318 \nL 135.432878 175.040175 \nL 132.294327 173.351375 \nL 129.029537 171.302445 \nL 125.652683 168.875318 \nL 122.183359 166.055818 \nL 118.647316 162.835546 \nL 115.077166 159.213999 \nL 111.513006 155.200989 \nL 108.002842 150.819143 \nL 104.602679 146.106398 \nL 101.376257 141.118075 \nL 98.394162 135.928336 \nL 95.732327 130.630472 \nL 93.469733 125.335707 \nL 91.685336 120.17011 \nL 90.454282 115.269487 \nL 89.843562 110.772301 \nL 89.907408 106.811107 \nL 90.682906 103.503252 \nL 92.186237 100.942056 \nL 94.410115 99.189518 \nL 97.322768 98.271884 \nL 100.868798 98.178652 \nL 104.971854 98.865214 \nL 109.538907 100.258693 \nL 114.465635 102.26596 \nL 119.642338 104.782549 \nL 124.959768 107.701255 \nL 130.314269 110.919451 \nL 135.611907 114.344347 \nL 140.771319 117.896277 \nL 145.725321 121.509944 \nL 150.421369 125.134248 \nL 154.821104 128.730989 \nL 158.899199 132.273013 \nL 162.641797 135.742143 \nL 166.044735 139.127164 \nL 169.111711 142.422006 \nL 171.852534 145.624247 \nL 174.281524 148.733893 \nL 176.416111 151.752503 \nL 178.275645 154.682501 \nL 179.880417 157.526731 \nL 181.250879 160.288143 \nL 182.407036 162.969624 \nL 183.368 165.573872 \nL 184.15166 168.103353 \nL 184.774473 170.560272 \nL 185.251328 172.946577 \nL 185.818553 177.5139 \nL 185.939817 181.816172 \nL 185.676535 185.860651 \nL 185.067141 189.651004 \nL 184.129448 193.186765 \nL 182.862776 196.462342 \nL 182.101214 197.99904 \nL 181.249572 199.465443 \nL 180.303194 200.858582 \nL 179.256463 202.174725 \nL 178.102822 203.409248 \nL 176.834755 204.556474 \nL 175.4438 205.609498 \nL 173.920536 206.559971 \nL 172.254588 207.397857 \nL 170.434637 208.111143 \nL 168.448444 208.685522 \nL 166.282897 209.104025 \nL 163.924094 209.346598 \nL 161.357455 209.38967 \nL 158.567921 209.205656 \nL 155.54021 208.762463 \nL 152.259185 208.023004 \nL 148.710354 206.944771 \nL 144.88054 205.479503 \nL 140.758766 203.573098 \nL 136.337371 201.165829 \nL 131.61346 198.193086 \nL 126.590676 194.586848 \nL 121.281353 190.278131 \nL 115.709086 185.200758 \nL 109.911662 179.296732 \nL 103.944257 172.523526 \nL 97.882783 164.86338 \nL 91.826972 156.334463 \nL 85.902857 147.003294 \nL 80.263879 136.997102 \nL 75.08989 126.514044 \nL 70.583172 115.828353 \nL 66.960633 105.286867 \nL 64.44167 95.293968 \nL 63.231862 86.282797 \nL 63.503654 78.674041 \nL 65.376153 72.827048 \nL 68.897251 68.991916 \nL 74.031772 67.2734 \nL 80.658562 67.616273 \nL 88.578166 69.816692 \nL 97.530312 73.557435 \nL 107.218222 78.457725 \nL 117.3354 84.125692 \nL 127.590339 90.202311 \nL 147.530175 102.465291 \nL 173.59905 118.802508 \nL 187.601485 127.756595 \nL 198.937081 135.299248 \nL 207.949486 141.692317 \nL 215.08197 147.173096 \nL 220.783932 151.915294 \nL 233.094069 162.564708 \nL 236.561816 164.995289 \nL 238.295704 165.98997 \nL 240.054976 166.829681 \nL 241.855515 167.50701 \nL 243.710874 168.01349 \nL 245.632391 168.339633 \nL 247.629237 168.475065 \nL 249.708438 168.408664 \nL 251.874825 168.12872 \nL 254.130936 167.623193 \nL 256.476875 166.880016 \nL 258.910105 165.88753 \nL 261.425209 164.634972 \nL 264.013614 163.113149 \nL 266.663271 161.315187 \nL 269.358371 159.237434 \nL 272.079032 156.880479 \nL 274.801065 154.250286 \nL 277.495809 151.359321 \nL 280.130119 148.227728 \nL 282.666492 144.884321 \nL 285.063466 141.367358 \nL 287.276265 137.724936 \nL 289.25778 134.014837 \nL 290.959874 130.303692 \nL 292.335052 126.665372 \nL 293.338354 123.178576 \nL 293.929556 119.923601 \nL 294.075363 116.978591 \nL 293.751562 114.415369 \nL 292.944914 112.295434 \nL 291.654549 110.666355 \nL 289.892749 109.559108 \nL 287.684961 108.986627 \nL 285.069016 108.943738 \nL 282.093587 109.408487 \nL 278.81599 110.344638 \nL 275.29957 111.705032 \nL 271.610835 113.435325 \nL 267.816657 115.477737 \nL 263.981661 117.774435 \nL 260.166087 120.270218 \nL 256.424123 122.914562 \nL 252.802775 125.662794 \nL 249.341303 128.476652 \nL 246.071106 131.324259 \nL 243.016002 134.17973 \nL 240.192786 137.022512 \nL 237.611994 139.836625 \nL 235.278779 142.609832 \nL 233.193815 145.332918 \nL 231.354202 147.998971 \nL 229.75431 150.602818 \nL 228.386533 153.140545 \nL 227.241983 155.609096 \nL 226.31106 158.005962 \nL 225.583942 160.328939 \nL 225.050968 162.575932 \nL 224.702968 164.744815 \nL 224.531488 166.833306 \nL 224.528984 168.838854 \nL 224.688932 170.758539 \nL 225.005918 172.589008 \nL 225.475683 174.326364 \nL 226.095128 175.96608 \nL 226.862315 177.502897 \nL 227.776424 178.93073 \nL 228.837707 180.242533 \nL 230.047424 181.430172 \nL 231.40775 182.484302 \nL 232.921682 183.394209 \nL 234.592904 184.147666 \nL 236.425643 184.730759 \nL 238.424491 185.127762 \nL 240.59418 185.320991 \nL 242.939323 185.290697 \nL 245.464102 185.015008 \nL 248.171865 184.469937 \nL 251.064678 183.629511 \nL 254.142772 182.466023 \nL 257.403889 180.950489 \nL 260.842514 179.053363 \nL 264.449023 176.74556 \nL 268.208686 173.999873 \nL 272.10062 170.792859 \nL 276.09664 167.107157 \nL 280.160169 162.934428 \nL 284.245164 158.278656 \nL 288.295294 153.159836 \nL 292.243431 147.617779 \nL 296.011707 141.715557 \nL 299.512317 135.542183 \nL 302.649226 129.213753 \nL 305.321063 122.872422 \nL 307.42515 116.682539 \nL 308.86277 110.823461 \nL 309.545305 105.479288 \nL 309.400864 100.825915 \nL 308.380773 97.016942 \nL 306.465046 94.170262 \nL 303.666049 92.357391 \nL 300.029748 91.597527 \nL 295.634039 91.85743 \nL 290.584322 93.057126 \nL 285.006733 95.080459 \nL 279.039889 97.788448 \nL 272.826262 101.033178 \nL 266.503998 104.670272 \nL 260.20019 108.568341 \nL 254.025928 112.615024 \nL 248.073355 116.71959 \nL 242.414545 120.812864 \nL 237.101911 124.845199 \nL 232.169721 128.78346 \nL 227.636308 132.607623 \nL 223.50663 136.307493 \nL 219.774883 139.879863 \nL 216.426993 143.326136 \nL 213.442863 146.65055 \nL 210.798307 149.858892 \nL 208.466664 152.957544 \nL 206.420096 155.952939 \nL 204.630597 158.851205 \nL 203.070761 161.657983 \nL 201.714325 164.378336 \nL 199.514407 169.577283 \nL 197.854424 174.478126 \nL 196.587723 179.104438 \nL 195.172805 185.569551 \nL 191.698363 203.539714 \nL 190.874682 206.54279 \nL 189.921902 209.361826 \nL 188.802689 211.997414 \nL 187.47544 214.446236 \nL 185.892221 216.699552 \nL 183.996663 218.741058 \nL 182.911295 219.674473 \nL 181.72176 220.543751 \nL 180.41764 221.343092 \nL 178.987565 222.06537 \nL 177.419133 222.701848 \nL 175.698849 223.241886 \nL 173.812072 223.672566 \nL 171.742965 223.978259 \nL 169.474485 224.140131 \nL 166.98839 224.135553 \nL 164.265312 223.937438 \nL 161.284886 223.513515 \nL 158.025972 222.825494 \nL 154.46701 221.828221 \nL 150.58653 220.468811 \nL 146.363891 218.685851 \nL 141.780293 216.408806 \nL 136.820146 213.557752 \nL 131.472878 210.043742 \nL 125.735288 205.770122 \nL 119.614495 200.635237 \nL 113.131601 194.537105 \nL 106.326058 187.380712 \nL 99.260697 179.088534 \nL 92.027154 169.614836 \nL 84.751352 158.963754 \nL 77.598237 147.210454 \nL 70.774716 134.523359 \nL 64.52931 121.183563 \nL 59.146905 107.59582 \nL 54.936729 94.283935 \nL 52.212625 81.863628 \nL 51.265661 70.988886 \nL 52.331202 62.274397 \nL 55.555061 56.205607 \nL 60.965325 53.05656 \nL 68.456882 52.838831 \nL 77.794134 55.299069 \nL 88.633057 59.968423 \nL 100.558865 66.249718 \nL 113.131191 73.516912 \nL 150.780797 96.119527 \nL 162.319509 102.829812 \nL 173.049222 108.877805 \nL 182.891649 114.242112 \nL 191.821005 118.949768 \nL 207.021395 126.623572 \nL 224.003406 134.766081 \nL 238.693682 141.545619 \nL 245.926881 144.68333 \nL 249.651421 146.093054 \nL 252.805012 147.032797 \nL 255.573485 147.53909 \nL 258.086151 147.635836 \nL 260.425682 147.342405 \nL 262.636465 146.679815 \nL 264.731567 145.675756 \nL 266.69875 144.36859 \nL 268.505947 142.810227 \nL 270.106776 141.067672 \nL 271.446292 139.222702 \nL 272.467376 137.369308 \nL 273.117435 135.608814 \nL 273.35518 134.042894 \nL 273.311178 133.362731 \nL 273.156826 132.765265 \nL 272.892663 132.259602 \nL 272.520803 131.853375 \nL 272.044933 131.552583 \nL 271.470306 131.361472 \nL 270.803665 131.282502 \nL 269.22798 131.461827 \nL 267.396192 132.075461 \nL 265.399619 133.084625 \nL 263.335447 134.432587 \nL 261.299747 136.051198 \nL 259.381498 137.866903 \nL 257.658312 139.805556 \nL 256.193937 141.795684 \nL 255.037458 143.77024 \nL 254.223781 145.667221 \nL 253.774939 147.429451 \nL 253.701752 149.004042 \nL 254.005425 150.341672 \nL 254.296643 150.907056 \nL 254.678781 151.3961 \nL 255.149753 151.803493 \nL 255.707 152.124138 \nL 256.347485 152.353202 \nL 257.067664 152.486124 \nL 258.730234 152.447209 \nL 260.654951 151.979525 \nL 262.791363 151.065345 \nL 265.076819 149.701148 \nL 267.435243 147.902488 \nL 269.776765 145.708986 \nL 271.998785 143.18867 \nL 273.989126 140.44032 \nL 275.631666 137.592491 \nL 276.814624 134.797797 \nL 277.202536 133.472055 \nL 277.440926 132.221981 \nL 277.521833 131.067802 \nL 277.439584 130.028488 \nL 277.191086 129.121176 \nL 276.776021 128.36069 \nL 276.196958 127.759089 \nL 275.459381 127.325341 \nL 274.57163 127.06514 \nL 273.544723 126.980818 \nL 272.392103 127.071429 \nL 271.129301 127.332957 \nL 269.773527 127.758578 \nL 268.34324 128.339092 \nL 265.336403 129.918551 \nL 262.263923 131.966503 \nL 259.273044 134.367709 \nL 256.493136 137.007646 \nL 254.029746 139.779721 \nL 251.962662 142.588737 \nL 250.347115 145.35135 \nL 249.217027 147.994707 \nL 248.58922 150.454043 \nL 248.465305 151.596027 \nL 248.46764 152.670078 \nL 248.595294 153.669244 \nL 248.846931 154.586665 \nL 249.22086 155.415492 \nL 249.715058 156.148875 \nL 250.327196 156.779928 \nL 251.054627 157.301734 \nL 251.894354 157.707366 \nL 252.842982 157.989888 \nL 253.896659 158.142449 \nL 255.050981 158.158337 \nL 256.300905 158.031092 \nL 257.640615 157.754654 \nL 259.063418 157.323519 \nL 260.561586 156.732972 \nL 262.126238 155.979328 \nL 263.747183 155.060221 \nL 265.41279 153.974937 \nL 267.109888 152.724744 \nL 268.823652 151.313284 \nL 270.537575 149.746938 \nL 272.233452 148.035205 \nL 273.891431 146.191001 \nL 275.490152 144.230938 \nL 277.006965 142.175455 \nL 278.418251 140.048857 \nL 279.699843 137.879132 \nL 280.827546 135.697621 \nL 281.777763 133.53843 \nL 282.528192 131.437642 \nL 283.058605 129.432316 \nL 283.35162 127.559298 \nL 283.393461 125.853955 \nL 283.174679 124.348829 \nL 282.690711 123.072392 \nL 281.942313 122.047927 \nL 280.935773 121.292657 \nL 279.682903 120.817187 \nL 278.200773 120.62531 \nL 276.511228 120.714151 \nL 274.640215 121.07469 \nL 272.616898 121.692545 \nL 270.472729 122.54896 \nL 268.240427 123.621888 \nL 265.952991 124.887135 \nL 263.642785 126.319427 \nL 261.340708 127.893312 \nL 259.075543 129.583984 \nL 254.757636 133.222925 \nL 250.86182 137.068252 \nL 249.112436 139.024162 \nL 247.510804 140.982464 \nL 246.065055 142.930469 \nL 244.780926 144.856953 \nL 243.662083 146.751952 \nL 242.710445 148.606546 \nL 241.926496 150.412652 \nL 241.309604 152.162824 \nL 240.858287 153.850058 \nL 240.570462 155.467665 \nL 240.443657 157.009111 \nL 240.47519 158.46786 \nL 240.662306 159.8373 \nL 241.002296 161.110622 \nL 241.49255 162.280722 \nL 242.130617 163.340128 \nL 242.914194 164.280943 \nL 243.841124 165.094767 \nL 244.90933 165.772684 \nL 246.116746 166.305212 \nL 247.461195 166.682319 \nL 248.940261 166.893453 \nL 250.551122 166.927602 \nL 252.290345 166.773398 \nL 254.153657 166.419284 \nL 256.135691 165.85373 \nL 258.229705 165.065554 \nL 260.42726 164.044305 \nL 262.717887 162.780752 \nL 265.088754 161.267481 \nL 267.524324 159.499609 \nL 270.006018 157.475587 \nL 272.511932 155.198104 \nL 275.016602 152.675039 \nL 277.490911 149.920451 \nL 279.902064 146.955461 \nL 282.213787 143.809053 \nL 284.386739 140.518575 \nL 286.37915 137.129887 \nL 288.147759 133.697034 \nL 289.649028 130.281303 \nL 290.840637 126.949647 \nL 291.683173 123.772433 \nL 292.142005 120.820625 \nL 292.189154 118.162477 \nL 291.805072 115.860077 \nL 290.980135 113.96604 \nL 289.715755 112.520635 \nL 288.024883 111.549662 \nL 285.931911 111.063401 \nL 283.471926 111.056712 \nL 280.689277 111.510143 \nL 277.635701 112.392121 \nL 274.368052 113.661683 \nL 270.945869 115.271581 \nL 267.429002 117.171387 \nL 263.875413 119.310324 \nL 260.339309 121.639529 \nL 256.869712 124.1138 \nL 253.509479 126.692671 \nL 250.294769 129.340973 \nL 247.254894 132.028904 \nL 244.412517 134.731762 \nL 241.784099 137.429488 \nL 239.380513 140.106034 \nL 237.207783 142.748728 \nL 235.26786 145.347639 \nL 233.559396 147.894982 \nL 232.078479 150.384638 \nL 230.819312 152.811679 \nL 229.774832 155.172039 \nL 228.937217 157.46221 \nL 228.298341 159.679011 \nL 227.85014 161.819378 \nL 227.584905 163.880221 \nL 227.495512 165.858283 \nL 227.57559 167.75003 \nL 227.819652 169.551549 \nL 228.223163 171.258432 \nL 228.782592 172.865701 \nL 229.49542 174.367679 \nL 230.360127 175.757908 \nL 231.376146 177.029018 \nL 232.543809 178.172627 \nL 233.864259 179.179213 \nL 235.339353 180.037977 \nL 236.971516 180.736725 \nL 238.763598 181.261757 \nL 240.718671 181.597745 \nL 242.839808 181.727662 \nL 245.129799 181.632728 \nL 247.590831 181.292434 \nL 250.224087 180.684629 \nL 253.029298 179.785725 \nL 256.004197 178.571059 \nL 259.143893 177.015445 \nL 262.440158 175.093973 \nL 265.880646 172.78308 \nL 269.447998 170.062003 \nL 273.118959 166.914565 \nL 276.863418 163.331397 \nL 280.643561 159.312524 \nL 284.413104 154.870242 \nL 288.116807 150.032141 \nL 291.690339 144.843993 \nL 295.060694 139.3722 \nL 298.1473 133.70528 \nL 300.863927 127.953918 \nL 303.121571 122.249019 \nL 304.832256 116.737393 \nL 305.913705 111.574901 \nL 306.294565 106.917359 \nL 305.919802 102.909769 \nL 304.755725 99.67515 \nL 302.793971 97.304468 \nL 300.053883 95.849191 \nL 296.582808 95.317659 \nL 292.454159 95.676019 \nL 287.76332 96.853522 \nL 282.621853 98.75115 \nL 277.150739 101.252251 \nL 271.47334 104.233299 \nL 265.708907 107.573507 \nL 259.967188 111.162215 \nL 254.344467 114.903604 \nL 248.92118 118.71896 \nL 243.76095 122.546782 \nL 238.910845 126.34145 \nL 234.402546 130.071011 \nL 230.254073 133.714624 \nL 226.471856 137.260009 \nL 223.052871 140.701185 \nL 219.986723 144.036551 \nL 217.257535 147.267384 \nL 214.845625 150.396696 \nL 212.728909 153.428428 \nL 210.884059 156.366885 \nL 209.287431 159.216398 \nL 207.915765 161.981113 \nL 206.746712 164.664858 \nL 205.759205 167.271139 \nL 204.933703 169.803105 \nL 203.698968 174.655111 \nL 202.920328 179.24027 \nL 202.502561 183.574419 \nL 202.375029 187.670756 \nL 202.488494 191.540403 \nL 202.811904 195.192658 \nL 203.329573 198.634978 \nL 204.038955 201.872755 \nL 204.949089 204.908814 \nL 206.079716 207.742644 \nL 207.461017 210.369246 \nL 209.133915 212.777443 \nL 210.095627 213.893876 \nL 211.150881 214.94744 \nL 212.308242 215.933735 \nL 213.57717 216.847314 \nL 214.96807 217.681473 \nL 216.492344 218.428011 \nL 218.162444 219.076961 \nL 219.991907 219.616237 \nL 221.99539 220.031272 \nL 224.188672 220.304552 \nL 226.588632 220.415097 \nL 229.213187 220.33788 \nL 232.081163 220.043164 \nL 235.212082 219.495787 \nL 238.625848 218.654408 \nL 242.342271 217.470752 \nL 246.38042 215.888919 \nL 250.757711 213.844843 \nL 255.488688 211.266078 \nL 260.583439 208.072071 \nL 266.045515 204.175274 \nL 271.869365 199.483403 \nL 278.03711 193.90335 \nL 284.514749 187.347294 \nL 291.247756 179.741517 \nL 298.156301 171.038414 \nL 305.130352 161.2318 \nL 312.025331 150.374979 \nL 318.659135 138.600226 \nL 324.811707 126.136622 \nL 330.228643 113.321959 \nL 334.630251 100.602825 \nL 337.727177 88.516881 \nL 339.242898 77.653031 \nL 338.941686 68.589833 \nL 336.65877 61.81935 \nL 332.32762 57.671163 \nL 325.998221 56.255899 \nL 317.840977 57.445571 \nL 308.13383 60.898414 \nL 297.234041 66.122345 \nL 285.540239 72.558873 \nL 273.452465 79.664757 \nL 238.197308 100.884751 \nL 217.763859 112.731352 \nL 200.678434 122.217202 \nL 176.007733 135.453597 \nL 157.977682 145.249557 \nL 151.072334 148.920681 \nL 147.340931 150.654216 \nL 144.017433 151.855777 \nL 142.451765 152.260268 \nL 140.92702 152.53388 \nL 139.42988 152.676009 \nL 137.949945 152.685821 \nL 136.479545 152.562515 \nL 135.013547 152.305514 \nL 133.549202 151.914698 \nL 132.086009 151.390628 \nL 130.625588 150.734752 \nL 129.171567 149.949648 \nL 127.729496 149.039247 \nL 124.912179 146.86633 \nL 122.251413 144.282345 \nL 119.846326 141.386606 \nL 117.810133 138.31282 \nL 116.260283 135.225307 \nL 115.702565 133.733779 \nL 115.306002 132.308933 \nL 115.080654 130.974409 \nL 115.034339 129.752842 \nL 115.172229 128.665175 \nL 115.496545 127.73002 \nL 116.006341 126.963066 \nL 116.697368 126.376612 \nL 117.56209 125.979252 \nL 118.589794 125.7757 \nL 119.766822 125.766765 \nL 121.07691 125.949553 \nL 122.501625 126.317751 \nL 124.020849 126.862048 \nL 125.613337 127.57065 \nL 128.930621 129.424419 \nL 132.280762 131.755658 \nL 135.504272 134.434476 \nL 138.465162 137.336281 \nL 141.056224 140.348654 \nL 143.199776 143.373816 \nL 144.845057 146.327982 \nL 145.96365 149.138878 \nL 146.321379 150.47039 \nL 146.544248 151.742589 \nL 146.632707 152.948268 \nL 146.5877 154.080364 \nL 146.41057 155.131881 \nL 146.102992 156.095842 \nL 145.666912 156.96521 \nL 145.104523 157.732861 \nL 144.418262 158.391571 \nL 143.610818 158.933987 \nL 142.685177 159.352656 \nL 141.644682 159.640045 \nL 140.49312 159.78859 \nL 139.234821 159.790803 \nL 137.874775 159.639356 \nL 136.418778 159.327263 \nL 134.873583 158.848065 \nL 133.247057 158.196078 \nL 131.548371 157.366655 \nL 129.788148 156.356545 \nL 127.978638 155.164269 \nL 126.133884 153.790532 \nL 124.269825 152.238679 \nL 122.404377 150.515151 \nL 120.55747 148.62993 \nL 118.751001 146.596982 \nL 117.008688 144.434558 \nL 115.355842 142.165414 \nL 113.819011 139.816883 \nL 112.425484 137.420698 \nL 111.202679 135.01259 \nL 110.177425 132.631603 \nL 109.3751 130.319154 \nL 108.818717 128.117781 \nL 108.527992 126.069727 \nL 108.518407 124.215329 \nL 108.800375 122.591424 \nL 109.378542 121.229805 \nL 110.25131 120.15589 \nL 111.410595 119.387711 \nL 112.841884 118.935327 \nL 114.524612 118.800695 \nL 116.432772 118.977969 \nL 118.535821 119.454274 \nL 120.799742 120.210743 \nL 123.188216 121.223839 \nL 125.663852 122.46674 \nL 128.189352 123.910707 \nL 130.728576 125.526349 \nL 133.247467 127.28469 \nL 135.71475 129.158014 \nL 138.102466 131.120486 \nL 140.386273 133.148499 \nL 142.545581 135.220882 \nL 144.563518 137.318888 \nL 146.426759 139.426118 \nL 148.125259 141.528293 \nL 149.651922 143.613032 \nL 151.002213 145.669578 \nL 152.173778 147.688529 \nL 153.166033 149.661569 \nL 153.979804 151.581229 \nL 154.61698 153.440665 \nL 155.080191 155.23347 \nL 155.372543 156.953492 \nL 155.497391 158.594655 \nL 155.458139 160.150873 \nL 155.258109 161.615877 \nL 154.90041 162.983138 \nL 154.387882 164.245755 \nL 153.723045 165.396368 \nL 152.908102 166.427071 \nL 151.944957 167.329362 \nL 150.835278 168.094069 \nL 149.58057 168.711302 \nL 148.182303 169.170443 \nL 146.642049 169.460138 \nL 144.961659 169.568339 \nL 143.143486 169.482366 \nL 141.190615 169.189062 \nL 139.107156 168.674966 \nL 136.898554 167.926623 \nL 134.571943 166.93093 \nL 132.136525 165.675656 \nL 129.603989 164.150055 \nL 126.988916 162.345617 \nL 124.309209 160.256998 \nL 121.586493 157.883031 \nL 118.846466 155.227888 \nL 116.11914 152.302297 \nL 113.438985 149.124778 \nL 110.844855 145.72273 \nL 108.379721 142.133349 \nL 106.090049 138.404146 \nL 104.024921 134.592943 \nL 102.234739 130.767163 \nL 100.769586 127.002296 \nL 99.677264 123.379524 \nL 99.001061 119.982445 \nL 98.777426 116.893171 \nL 99.033666 114.187973 \nL 99.7859 111.932938 \nL 101.037465 110.180009 \nL 102.777989 108.964008 \nL 104.983213 108.300865 \nL 107.615719 108.187311 \nL 110.626438 108.602159 \nL 113.956886 109.508799 \nL 117.541905 110.858675 \nL 121.312661 112.595333 \nL 125.199636 114.658406 \nL 129.135405 116.987203 \nL 133.056957 119.523773 \nL 136.907532 122.214998 \nL 140.637808 125.013989 \nL 144.206578 127.880658 \nL 147.58088 130.781732 \nL 150.73573 133.690303 \nL 153.653535 136.585148 \nL 156.323298 139.449885 \nL 158.739694 142.272134 \nL 160.902123 145.04266 \nL 162.813744 147.7547 \nL 164.480598 150.403283 \nL 165.910797 152.984758 \nL 167.113809 155.49636 \nL 168.099853 157.935911 \nL 168.879389 160.301529 \nL 169.462705 162.591479 \nL 169.859591 164.803983 \nL 170.079085 166.937125 \nL 170.129292 168.988735 \nL 170.017245 170.956296 \nL 169.74883 172.836879 \nL 169.328732 174.627046 \nL 168.760421 176.322756 \nL 168.046167 177.919276 \nL 167.187053 179.411102 \nL 166.183036 180.791792 \nL 165.033002 182.053898 \nL 163.734843 183.188785 \nL 162.285554 184.186513 \nL 160.681328 185.035661 \nL 158.917712 185.723168 \nL 156.98975 186.234175 \nL 154.892183 186.551842 \nL 152.619674 186.657226 \nL 150.167105 186.529164 \nL 147.529909 186.144228 \nL 144.704502 185.476736 \nL 141.688778 184.498904 \nL 138.482719 183.181169 \nL 135.089108 181.492718 \nL 131.514363 179.402303 \nL 127.769487 176.879451 \nL 123.871138 173.896072 \nL 119.842777 170.42861 \nL 115.715911 166.460701 \nL 111.531242 161.986448 \nL 107.339779 157.014124 \nL 103.203662 151.570217 \nL 99.196548 145.703498 \nL 95.403355 139.488562 \nL 91.919162 133.028325 \nL 88.847001 126.454621 \nL 86.294386 119.926179 \nL 84.36852 113.623253 \nL 83.170329 107.73868 \nL 82.787573 102.465563 \nL 83.287693 97.982605 \nL 84.711141 94.438811 \nL 87.066107 91.939804 \nL 90.325499 90.53807 \nL 94.426834 90.229083 \nL 99.275286 90.953853 \nL 104.7496 92.607763 \nL 110.710188 95.053671 \nL 117.008324 98.137124 \nL 123.495373 101.700933 \nL 130.030906 105.597386 \nL 136.489077 109.696693 \nL 142.762888 113.891581 \nL 148.766325 118.098518 \nL 154.434663 122.256295 \nL 159.723331 126.323095 \nL 164.605844 130.272869 \nL 169.071169 134.091603 \nL 173.12091 137.773978 \nL 176.766572 141.320546 \nL 180.027021 144.735528 \nL 182.926282 148.025198 \nL 185.491671 151.196709 \nL 187.752281 154.257391 \nL 189.737789 157.214263 \nL 191.47755 160.073793 \nL 192.999934 162.841783 \nL 194.331869 165.523358 \nL 196.523264 170.644671 \nL 198.230251 175.467157 \nL 199.600804 180.013274 \nL 201.790106 188.342213 \nL 203.804387 195.729607 \nL 204.906677 199.088 \nL 206.14436 202.225984 \nL 207.569519 205.14063 \nL 209.23663 207.823167 \nL 211.205467 210.256833 \nL 212.323826 211.37219 \nL 213.543791 212.413819 \nL 214.87549 213.375802 \nL 216.329854 214.250883 \nL 217.918679 215.030239 \nL 219.654683 215.703178 \nL 221.55154 216.25681 \nL 223.623905 216.675657 \nL 225.887412 216.94121 \nL 228.358625 217.031417 \nL 231.054946 216.920115 \nL 233.994449 216.576408 \nL 237.195628 215.964004 \nL 240.677016 215.040549 \nL 244.456644 213.756989 \nL 248.551307 212.057046 \nL 252.975571 209.876918 \nL 257.740455 207.145361 \nL 262.851736 203.784385 \nL 268.307821 199.710824 \nL 274.097072 194.839203 \nL 280.194609 189.086293 \nL 286.558615 182.377837 \nL 293.126139 174.657928 \nL 299.808752 165.90118 \nL 306.48837 156.127652 \nL 313.013893 145.419623 \nL 319.199609 133.938446 \nL 324.826417 121.938279 \nL 329.647253 109.772412 \nL 333.397801 97.886905 \nL 335.813156 86.797055 \nL 336.650217 77.04418 \nL 335.713808 69.135474 \nL 332.883154 63.475609 \nL 328.133731 60.304403 \nL 321.549374 59.656986 \nL 313.320846 61.35889 \nL 303.729621 65.05899 \nL 293.119626 70.291567 \nL 281.862294 76.550617 \nL 270.321827 83.357556 \nL 227.025619 109.476105 \nL 209.400212 119.780919 \nL 178.631145 137.590075 \nL 167.226208 144.56553 \nL 152.860392 153.564864 \nL 149.280957 155.380322 \nL 147.580019 156.074943 \nL 145.910454 156.625188 \nL 144.255577 157.028258 \nL 142.601761 157.280741 \nL 140.938254 157.378841 \nL 139.257027 157.3186 \nL 137.552638 157.096114 \nL 135.822151 156.707775 \nL 134.065059 156.150543 \nL 132.283256 155.422258 \nL 130.481018 154.521941 \nL 128.664964 153.45017 \nL 126.844073 152.209448 \nL 125.029641 150.804591 \nL 123.235221 149.243113 \nL 121.476552 147.535618 \nL 119.771402 145.696077 \nL 118.139356 143.742115 \nL 116.601531 141.695117 \nL 115.180206 139.580245 \nL 113.898325 137.426237 \nL 112.778933 135.26503 \nL 111.844511 133.131148 \nL 111.116245 131.060884 \nL 110.613229 129.091273 \nL 110.351681 127.258906 \nL 110.344182 125.598639 \nL 110.598966 124.14229 \nL 111.119369 122.917405 \nL 111.903443 121.94621 \nL 112.943764 121.244782 \nL 114.227495 120.822556 \nL 115.736649 120.682206 \nL 117.448632 120.819842 \nL 119.33694 121.225584 \nL 121.372026 121.884379 \nL 123.522269 122.776995 \nL 125.75495 123.881128 \nL 128.037252 125.172508 \nL 130.337145 126.625938 \nL 132.624156 128.216204 \nL 134.870027 129.918798 \nL 139.138988 133.569746 \nL 142.975974 137.414026 \nL 144.693625 139.365478 \nL 146.262625 141.317142 \nL 147.675257 143.256612 \nL 148.926129 145.172893 \nL 150.011866 147.056224 \nL 150.930774 148.897824 \nL 151.682538 150.689727 \nL 152.267913 152.424556 \nL 152.688456 154.095358 \nL 152.946296 155.69547 \nL 153.043915 157.218339 \nL 152.983985 158.657422 \nL 152.769234 160.006055 \nL 152.402337 161.25738 \nL 151.88587 162.404232 \nL 151.22225 163.439062 \nL 150.413749 164.353888 \nL 149.462516 165.140226 \nL 148.370629 165.789073 \nL 147.140193 166.290873 \nL 145.773436 166.635524 \nL 144.272869 166.812415 \nL 142.641444 166.810509 \nL 140.882768 166.618437 \nL 139.001337 166.22471 \nL 137.002784 165.617909 \nL 134.894193 164.787048 \nL 132.684385 163.721967 \nL 130.384271 162.413831 \nL 128.007179 160.855757 \nL 125.569213 159.043541 \nL 123.089543 156.976477 \nL 120.590705 154.658257 \nL 118.098781 152.097946 \nL 115.64352 149.31091 \nL 113.258276 146.319727 \nL 110.979796 143.154887 \nL 108.847759 139.855253 \nL 106.904082 136.468105 \nL 105.19194 133.048689 \nL 103.754487 129.659193 \nL 102.633358 126.367022 \nL 101.866914 123.242441 \nL 101.488404 120.35568 \nL 101.524111 117.773618 \nL 101.99161 115.556366 \nL 102.898371 113.754013 \nL 104.240776 112.403916 \nL 106.003721 111.528847 \nL 108.160818 111.136091 \nL 110.675315 111.217767 \nL 113.501572 111.752158 \nL 116.587026 112.705976 \nL 119.87448 114.037181 \nL 123.304511 115.69807 \nL 126.817814 117.638331 \nL 130.357338 119.807724 \nL 133.870042 122.158272 \nL 137.308232 124.645834 \nL 140.630464 127.231122 \nL 143.802003 129.880104 \nL 146.794892 132.564062 \nL 149.587705 135.259252 \nL 152.165085 137.946426 \nL 154.51709 140.610208 \nL 156.638458 143.238461 \nL 158.527847 145.821646 \nL 160.187051 148.352293 \nL 161.620292 150.82447 \nL 162.833554 153.233403 \nL 163.833982 155.575092 \nL 164.6294 157.846048 \nL 165.227862 160.043073 \nL 165.637305 162.163067 \nL 165.865275 164.202866 \nL 165.918702 166.159117 \nL 165.803742 168.028178 \nL 165.525664 169.805998 \nL 165.088778 171.488015 \nL 164.496397 173.069074 \nL 163.750828 174.54331 \nL 162.853401 175.904045 \nL 161.804504 177.14366 \nL 160.603651 178.25352 \nL 159.249577 179.223795 \nL 157.740339 180.043381 \nL 156.073458 180.699751 \nL 154.246094 181.178855 \nL 152.255231 181.465002 \nL 150.097921 181.540806 \nL 147.771583 181.387138 \nL 145.274329 180.983183 \nL 142.605381 180.306535 \nL 139.765548 179.33346 \nL 136.757778 178.039297 \nL 133.587805 176.399054 \nL 130.264875 174.388272 \nL 126.802558 171.984207 \nL 123.219623 169.167328 \nL 119.540943 165.923212 \nL 115.798417 162.244845 \nL 112.031809 158.135242 \nL 108.289435 153.610382 \nL 104.628544 148.702161 \nL 101.115354 143.461193 \nL 97.824449 137.959012 \nL 94.837509 132.289207 \nL 92.241143 126.567025 \nL 90.123816 120.926834 \nL 88.57185 115.517273 \nL 87.664627 110.493813 \nL 87.469329 106.009289 \nL 88.035645 102.203056 \nL 89.391001 99.190063 \nL 91.536967 97.051441 \nL 94.447399 95.827934 \nL 98.068655 95.517466 \nL 102.322106 96.077115 \nL 107.108615 97.429237 \nL 112.314565 99.470662 \nL 117.818709 102.083308 \nL 123.499043 105.14467 \nL 129.239014 108.536873 \nL 134.932534 112.153322 \nL 140.487539 115.902847 \nL 145.82802 119.711318 \nL 150.894642 123.52144 \nL 155.644289 127.291175 \nL 160.048736 130.991419 \nL 164.092846 134.603504 \nL 167.772498 138.116714 \nL 171.092463 141.526106 \nL 174.064388 144.830726 \nL 176.704957 148.032201 \nL 179.034306 151.133687 \nL 181.074671 154.139132 \nL 182.849298 157.052766 \nL 184.381582 159.878801 \nL 185.694403 162.621238 \nL 186.809641 165.283768 \nL 187.747841 167.869753 \nL 188.527989 170.382215 \nL 189.681615 175.197127 \nL 190.388245 179.747099 \nL 190.738904 184.047303 \nL 190.800376 188.110324 \nL 190.618344 191.946639 \nL 190.220514 195.564799 \nL 189.619307 198.971323 \nL 188.81393 202.170364 \nL 187.791784 205.163075 \nL 186.529197 207.946634 \nL 184.991534 210.512839 \nL 183.132765 212.846022 \nL 182.065242 213.917584 \nL 180.894528 214.920073 \nL 179.61119 215.847898 \nL 178.204846 216.694191 \nL 176.664123 217.450567 \nL 174.976606 218.106834 \nL 173.128808 218.650676 \nL 171.106141 219.067251 \nL 168.89292 219.338744 \nL 166.472397 219.443848 \nL 163.826824 219.357185 \nL 160.937613 219.048657 \nL 157.785542 218.482746 \nL 154.351102 217.617769 \nL 150.614988 216.405168 \nL 146.558776 214.788862 \nL 142.165858 212.704774 \nL 137.422691 210.080695 \nL 132.320426 206.836693 \nL 126.856978 202.886336 \nL 121.039679 198.139148 \nL 114.888442 192.504718 \nL 108.439578 185.898995 \nL 101.750149 178.253316 \nL 94.902614 169.526463 \nL 88.009538 159.719951 \nL 81.217667 148.895773 \nL 74.710508 137.195157 \nL 68.708262 124.855275 \nL 63.463648 112.219494 \nL 59.252379 99.7355 \nL 56.357045 87.935703 \nL 55.04469 77.396192 \nL 55.539198 68.675202 \nL 57.992193 62.239014 \nL 62.457312 58.389858 \nL 68.873821 57.214533 \nL 77.064367 58.569396 \nL 86.749055 62.108084 \nL 97.573813 67.345018 \nL 109.147545 73.736581 \nL 121.080603 80.758678 \nL 155.775131 101.670332 \nL 175.842388 113.371638 \nL 192.612798 122.790959 \nL 228.70765 142.735512 \nL 241.453792 149.948856 \nL 245.197421 151.78518 \nL 248.565346 153.076977 \nL 250.165163 153.519975 \nL 251.732006 153.826639 \nL 253.279225 153.995522 \nL 254.817239 154.02494 \nL 256.353729 153.913183 \nL 257.89381 153.658751 \nL 259.440165 153.260583 \nL 260.993166 152.718285 \nL 262.550956 152.032395 \nL 264.109564 151.204632 \nL 265.662964 150.238161 \nL 267.203177 149.137849 \nL 268.720369 147.910529 \nL 271.637882 145.113384 \nL 274.305374 141.948399 \nL 275.50584 140.270926 \nL 276.594993 138.558044 \nL 277.555803 136.833469 \nL 278.371633 135.122706 \nL 279.026733 133.4525 \nL 279.506782 131.850218 \nL 279.799426 130.343091 \nL 279.894777 128.957407 \nL 279.785921 127.717664 \nL 279.469278 126.645782 \nL 278.944932 125.760366 \nL 278.216795 125.076076 \nL 277.292633 124.603243 \nL 276.183969 124.347595 \nL 274.905812 124.310263 \nL 273.476267 124.487954 \nL 271.916043 124.873341 \nL 270.247828 125.455574 \nL 268.495688 126.220902 \nL 266.684373 127.153352 \nL 262.982968 129.448791 \nL 259.332776 132.194843 \nL 255.900091 135.246803 \nL 252.819373 138.473143 \nL 250.19028 141.76025 \nL 248.079508 145.012647 \nL 246.525734 148.150282 \nL 245.963691 149.654336 \nL 245.545926 151.104711 \nL 245.272212 152.494004 \nL 245.141719 153.815032 \nL 245.153161 155.060757 \nL 245.304897 156.224177 \nL 245.595031 157.298254 \nL 246.021478 158.275856 \nL 246.582001 159.149682 \nL 247.274222 159.912236 \nL 248.09561 160.555807 \nL 249.043438 161.072448 \nL 250.114723 161.453988 \nL 251.306147 161.692081 \nL 252.61393 161.778276 \nL 254.033712 161.704097 \nL 255.56039 161.461205 \nL 257.187943 161.041575 \nL 258.909245 160.437727 \nL 260.715854 159.643032 \nL 262.597809 158.652052 \nL 264.543397 157.460959 \nL 266.538977 156.068007 \nL 268.568754 154.474056 \nL 270.614675 152.68314 \nL 272.656274 150.703045 \nL 274.67069 148.545855 \nL 276.632694 146.228495 \nL 278.514891 143.773108 \nL 280.288005 141.207299 \nL 281.92137 138.564171 \nL 283.383535 135.882051 \nL 284.64307 133.203889 \nL 285.669477 130.576317 \nL 286.434283 128.048325 \nL 286.912186 125.669618 \nL 287.082203 123.48872 \nL 286.928792 121.550961 \nL 286.442814 119.896463 \nL 285.622298 118.558314 \nL 284.472878 117.561114 \nL 283.00793 116.919959 \nL 281.248283 116.640093 \nL 279.221577 116.717088 \nL 276.961295 117.13762 \nL 274.505502 117.880772 \nL 271.895441 118.919559 \nL 269.174022 120.222759 \nL 266.384375 121.756648 \nL 263.568461 123.486644 \nL 260.76593 125.378689 \nL 258.013202 127.400354 \nL 255.34278 129.521634 \nL 252.78284 131.715407 \nL 250.35706 133.957635 \nL 248.084665 136.227383 \nL 245.980619 138.506637 \nL 244.055963 140.780044 \nL 242.31823 143.034602 \nL 240.771917 145.259275 \nL 239.418968 147.444675 \nL 238.259255 149.58271 \nL 237.291037 151.666317 \nL 236.511384 153.689165 \nL 235.916557 155.645433 \nL 235.50233 157.529615 \nL 235.264266 159.336334 \nL 235.197959 161.060202 \nL 235.299203 162.695672 \nL 235.564128 164.236922 \nL 235.989312 165.677758 \nL 236.571825 167.011482 \nL 237.309258 168.230836 \nL 238.19972 169.327864 \nL 239.241788 170.293876 \nL 240.434456 171.119341 \nL 241.777024 171.793828 \nL 243.268974 172.305967 \nL 244.909812 172.643411 \nL 246.698879 172.792841 \nL 248.63511 172.74003 \nL 250.71678 172.469915 \nL 252.941177 171.966788 \nL 255.30426 171.214539 \nL 257.800255 170.197061 \nL 260.421209 168.89872 \nL 263.156497 167.305041 \nL 265.992322 165.403533 \nL 268.911171 163.184724 \nL 271.891294 160.643372 \nL 274.906206 157.779868 \nL 277.924288 154.601761 \nL 280.908483 151.125364 \nL 283.816245 147.377312 \nL 286.599691 143.395915 \nL 289.206142 139.232131 \nL 291.579056 134.949933 \nL 293.65941 130.625826 \nL 295.387589 126.347288 \nL 296.705745 122.210113 \nL 297.560496 118.314477 \nL 297.9059 114.760046 \nL 297.706447 111.640375 \nL 296.939767 109.037089 \nL 295.598856 107.014607 \nL 293.693441 105.616005 \nL 291.250357 104.860447 \nL 288.31278 104.742791 \nL 284.938345 105.235179 \nL 281.196327 106.290501 \nL 277.16413 107.847094 \nL 272.923426 109.834124 \nL 268.556349 112.176911 \nL 264.14198 114.801658 \nL 259.753479 117.639148 \nL 255.455901 120.627335 \nL 251.304816 123.712755 \nL 247.345673 126.851002 \nL 243.61379 130.006405 \nL 240.134851 133.151222 \nL 236.925786 136.264554 \nL 233.99584 139.331166 \nL 231.347794 142.340305 \nL 228.979161 145.284685 \nL 226.883359 148.159574 \nL 225.050783 150.962063 \nL 223.469743 153.690492 \nL 222.127283 156.343994 \nL 221.00986 158.922176 \nL 220.103899 161.424868 \nL 219.396233 163.851961 \nL 218.874441 166.203266 \nL 218.527098 168.478434 \nL 218.343953 170.676871 \nL 218.316051 172.797691 \nL 218.435799 174.839661 \nL 218.697004 176.801128 \nL 219.094873 178.679992 \nL 219.626004 180.473614 \nL 220.288344 182.178744 \nL 221.081159 183.791433 \nL 222.004975 185.306942 \nL 223.061525 186.719602 \nL 224.253686 188.0227 \nL 225.585409 189.208313 \nL 227.061649 190.267145 \nL 228.688272 191.188327 \nL 230.471952 191.959225 \nL 232.42005 192.565204 \nL 234.540466 192.9894 \nL 236.841444 193.212482 \nL 239.331332 193.212418 \nL 242.018292 192.964284 \nL 244.909926 192.440108 \nL 248.012793 191.608817 \nL 251.33184 190.436313 \nL 254.869692 188.885728 \nL 258.625776 186.918006 \nL 262.595299 184.492802 \nL 266.768025 181.569901 \nL 271.126905 178.111212 \nL 275.646513 174.083523 \nL 280.291424 169.462019 \nL 285.014505 164.234718 \nL 289.755352 158.40762 \nL 294.439033 152.010492 \nL 298.975361 145.10273 \nL 303.259051 137.778658 \nL 307.171132 130.171247 \nL 310.581857 122.453073 \nL 313.355551 114.833161 \nL 315.357342 107.548778 \nL 316.461667 100.851615 \nL 316.562024 94.988929 \nL 315.580991 90.181616 \nL 313.479232 86.602081 \nL 310.262083 84.355896 \nL 305.982434 83.470803 \nL 300.739087 83.895556 \nL 294.670485 85.508994 \nL 287.944621 88.137434 \nL 280.746533 91.57678 \nL 273.265152 95.615072 \nL 265.68126 100.051755 \nL 258.157818 104.711425 \nL 250.833419 109.451273 \nL 243.818904 114.162955 \nL 237.196773 118.770316 \nL 231.022754 123.224656 \nL 225.32875 127.49899 \nL 220.126567 131.582307 \nL 215.41182 135.474573 \nL 211.16771 139.182647 \nL 207.36841 142.717191 \nL 203.981965 146.090536 \nL 200.972685 149.315199 \nL 198.303031 152.403027 \nL 195.935072 155.364698 \nL 193.831548 158.20954 \nL 190.276383 163.579029 \nL 187.375438 168.559464 \nL 182.669594 177.460817 \nL 180.516576 181.402992 \nL 178.310351 185.001759 \nL 175.935181 188.239689 \nL 174.651395 189.7143 \nL 173.286904 191.085913 \nL 171.829605 192.34802 \nL 170.26751 193.492765 \nL 168.588645 194.51078 \nL 166.780987 195.390959 \nL 164.832425 196.120223 \nL 162.730756 196.683267 \nL 160.463741 197.062288 \nL 158.019186 197.236695 \nL 155.385118 197.182824 \nL 152.550017 196.873671 \nL 149.503147 196.278682 \nL 146.235009 195.363609 \nL 142.737926 194.090537 \nL 139.006777 192.418093 \nL 135.039927 190.301975 \nL 130.840359 187.695902 \nL 126.417027 184.553136 \nL 121.786424 180.828664 \nL 116.974376 176.482321 \nL 112.017994 171.482859 \nL 106.967685 165.813139 \nL 101.889085 159.476293 \nL 96.864656 152.502752 \nL 91.994708 144.957444 \nL 87.397339 136.946495 \nL 83.206968 128.621963 \nL 79.570903 120.183206 \nL 76.643676 111.873115 \nL 74.578904 103.967848 \nL 73.518997 96.759439 \nL 73.583321 90.53213 \nL 74.85611 85.53488 \nL 77.375763 81.954256 \nL 81.127365 79.892851 \nL 86.040057 79.357897 \nL 91.990105 80.262801 \nL 98.809668 82.441606 \nL 106.299966 85.673061 \nL 114.246906 89.709191 \nL 122.436816 94.302588 \nL 130.670189 99.228203 \nL 138.771993 104.297207 \nL 146.597982 109.362926 \nL 161.011191 119.100747 \nL 167.471351 123.665671 \nL 173.394526 127.998466 \nL 178.778438 132.097978 \nL 183.636999 135.972773 \nL 187.996058 139.636835 \nL 191.889715 143.106484 \nL 195.357272 146.398348 \nL 198.440816 149.528078 \nL 201.183363 152.509696 \nL 203.627483 155.355278 \nL 207.783023 160.676755 \nL 211.209898 165.551312 \nL 218.204499 175.954328 \nL 220.88138 179.40432 \nL 222.271349 180.967134 \nL 223.717154 182.415441 \nL 225.233623 183.742979 \nL 226.834753 184.942174 \nL 228.53386 186.004022 \nL 230.343669 186.91792 \nL 232.276385 187.671513 \nL 234.34372 188.250496 \nL 236.556861 188.638461 \nL 238.926378 188.816714 \nL 241.462091 188.764124 \nL 244.17283 188.457026 \nL 247.066136 187.869185 \nL 250.147832 186.971863 \nL 253.421506 185.734043 \nL 256.88785 184.122869 \nL 260.543873 182.104361 \nL 264.381947 179.644523 \nL 268.388743 176.710857 \nL 272.544006 173.274456 \nL 276.819242 169.312699 \nL 281.1764 164.812594 \nL 285.566558 159.774745 \nL 289.92885 154.217821 \nL 294.189777 148.183189 \nL 298.263064 141.73935 \nL 302.050472 134.985427 \nL 305.443658 128.052886 \nL 308.327475 121.104585 \nL 310.584731 114.330272 \nL 312.102424 107.937892 \nL 312.779173 102.140833 \nL 312.533269 97.141882 \nL 311.310517 93.115656 \nL 309.090802 90.192083 \nL 305.892398 88.443698 \nL 301.773069 87.879216 \nL 296.827605 88.444736 \nL 291.181901 90.032373 \nL 284.984273 92.494585 \nL 278.395222 95.661535 \nL 271.576933 99.358231 \nL 264.683827 103.419109 \nL 257.855013 107.698344 \nL 251.209176 112.075612 \nL 244.841913 116.457662 \nL 238.825214 120.776893 \nL 233.208646 124.987864 \nL 228.021659 129.063097 \nL 223.276524 132.988687 \nL 218.971502 136.760413 \nL 215.093922 140.380471 \nL 211.623014 143.854945 \nL 208.53237 147.191954 \nL 205.792006 150.400398 \nL 203.370031 153.489119 \nL 201.233943 156.466406 \nL 199.351616 159.339772 \nL 197.692009 162.11583 \nL 194.924917 167.398188 \nL 192.720137 172.35003 \nL 190.897715 176.997498 \nL 185.600132 191.075519 \nL 183.981891 194.494148 \nL 182.169439 197.636365 \nL 180.0894 200.485041 \nL 178.925651 201.790896 \nL 177.666379 203.011513 \nL 176.301285 204.140835 \nL 174.819549 205.171499 \nL 173.209769 206.094597 \nL 171.459904 206.899431 \nL 169.557243 207.573224 \nL 167.488398 208.10077 \nL 165.239329 208.464066 \nL 162.795409 208.641897 \nL 160.141559 208.609377 \nL 157.262421 208.337476 \nL 154.142667 207.792528 \nL 150.767383 206.935789 \nL 147.122628 205.723064 \nL 143.196166 204.104473 \nL 138.978418 202.024491 \nL 134.463689 199.422371 \nL 129.651714 196.233159 \nL 124.549532 192.389505 \nL 119.173785 187.824594 \nL 113.553346 182.476447 \nL 107.732332 176.293942 \nL 101.773283 169.244698 \nL 95.760353 161.324939 \nL 89.802116 152.570948 \nL 84.033497 143.071262 \nL 78.616083 132.97811 \nL 73.736042 122.515611 \nL 69.59878 111.981801 \nL 66.419659 101.74098 \nL 64.410475 92.203893 \nL 63.762297 83.79475 \nL 64.625943 76.907582 \nL 67.09289 71.858151 \nL 71.179758 68.840715 \nL 76.819843 67.900071 \nL 83.864132 68.92668 \nL 92.092539 71.676826 \nL 101.233802 75.813082 \nL 110.990495 80.95481 \nL 121.064801 86.726918 \nL 131.180894 92.797598 \nL 150.63543 104.841504 \nL 175.749477 120.698289 \nL 189.130062 129.384747 \nL 199.924658 136.734586 \nL 208.495842 143.001202 \nL 215.285965 148.405079 \nL 220.734089 153.104021 \nL 230.930272 162.293061 \nL 234.404241 165.005909 \nL 236.122562 166.148693 \nL 237.856344 167.142166 \nL 239.623304 167.979596 \nL 241.438805 168.653079 \nL 243.316001 169.153577 \nL 245.265922 169.471005 \nL 247.297527 169.594336 \nL 249.41769 169.511707 \nL 251.631146 169.2106 \nL 253.940358 168.678097 \nL 256.345362 167.901171 \nL 258.843526 166.867141 \nL 261.429288 165.564213 \nL 264.093823 163.982125 \nL 266.82472 162.112988 \nL 269.60564 159.952257 \nL 272.415943 157.499814 \nL 275.230447 154.761182 \nL 278.019215 151.748793 \nL 280.747481 148.483266 \nL 283.375816 144.994521 \nL 285.860476 141.322665 \nL 288.154113 137.518431 \nL 290.206791 133.643074 \nL 291.9674 129.767487 \nL 293.385427 125.970436 \nL 294.413077 122.335929 \nL 295.007578 118.949675 \nL 295.133647 115.894899 \nL 294.765814 113.247805 \nL 293.890445 111.073136 \nL 292.507291 109.420281 \nL 290.630265 108.32042 \nL 288.287446 107.78499 \nL 285.520114 107.805873 \nL 282.381014 108.356961 \nL 278.931905 109.397101 \nL 275.240645 110.87389 \nL 271.378071 112.72788 \nL 267.414937 114.896661 \nL 263.419166 117.318468 \nL 259.453586 119.935089 \nL 255.574201 122.693821 \nL 251.829113 125.548662 \nL 248.258003 128.460722 \nL 244.892114 131.398047 \nL 241.75464 134.335108 \nL 238.861402 137.251976 \nL 236.221716 140.133452 \nL 233.839362 142.968184 \nL 231.713576 145.747833 \nL 229.840012 148.466357 \nL 228.211628 151.119399 \nL 226.819498 153.703801 \nL 225.653508 156.217191 \nL 224.702947 158.657711 \nL 223.956993 161.023738 \nL 223.405116 163.313739 \nL 223.037385 165.526124 \nL 222.844699 167.659104 \nL 222.818962 169.710647 \nL 222.953195 171.678343 \nL 223.24162 173.559369 \nL 223.679685 175.35037 \nL 224.264083 177.04739 \nL 224.992736 178.645783 \nL 225.864758 180.140094 \nL 226.880411 181.523966 \nL 228.041042 182.789987 \nL 229.349003 183.929571 \nL 230.807563 184.932796 \nL 232.420796 185.788242 \nL 234.193451 186.482828 \nL 236.1308 187.001622 \nL 238.238444 187.327696 \nL 240.522084 187.441947 \nL 242.987234 187.32299 \nL 245.638885 186.947083 \nL 248.481092 186.288118 \nL 251.516451 185.317783 \nL 254.745508 184.005827 \nL 258.16603 182.320584 \nL 261.772167 180.229786 \nL 265.55347 177.701726 \nL 269.493819 174.706892 \nL 273.570208 171.220113 \nL 277.751503 167.223289 \nL 281.997174 162.708709 \nL 286.256152 157.682875 \nL 290.46595 152.170738 \nL 294.552135 146.219934 \nL 298.428548 139.904618 \nL 301.998318 133.328207 \nL 305.15605 126.624236 \nL 307.791292 119.954525 \nL 309.793439 113.503879 \nL 311.057826 107.470965 \nL 311.492895 102.055668 \nL 311.027617 97.443789 \nL 309.618561 93.791002 \nL 307.255489 91.208327 \nL 303.964645 89.751689 \nL 299.809002 89.417564 \nL 294.885248 90.145535 \nL 289.31766 91.827373 \nL 283.249732 94.320816 \nL 276.834528 97.465522 \nL 270.225118 101.098464 \nL 263.566057 105.066704 \nL 256.986731 109.236233 \nL 250.596955 113.496765 \nL 244.484768 117.762828 \nL 238.716165 121.972267 \nL 233.3363 126.083062 \nL 228.371699 130.069462 \nL 223.833011 133.918065 \nL 219.717932 137.624326 \nL 216.014068 141.189607 \nL 212.70154 144.618903 \nL 209.755263 147.919192 \nL 207.146861 151.098244 \nL 204.84621 154.163887 \nL 202.82265 157.12355 \nL 201.045907 159.984024 \nL 199.486752 162.751351 \nL 196.912111 168.027123 \nL 194.899274 172.98539 \nL 193.280102 177.651919 \nL 191.294163 184.145411 \nL 188.934602 191.923463 \nL 187.699456 195.451705 \nL 186.339798 198.741974 \nL 184.795124 201.790087 \nL 183.004411 204.585241 \nL 181.996737 205.882212 \nL 180.902733 207.107672 \nL 179.713178 208.257204 \nL 178.418252 209.325349 \nL 177.007453 210.305411 \nL 175.469539 211.18924 \nL 173.792466 211.966975 \nL 171.963341 212.62674 \nL 169.968408 213.154307 \nL 167.793038 213.532687 \nL 165.421771 213.741685 \nL 162.838399 213.757402 \nL 160.026098 213.551672 \nL 156.967673 213.091484 \nL 153.645873 212.338406 \nL 150.043876 211.247995 \nL 146.145925 209.769342 \nL 141.938209 207.844781 \nL 137.409994 205.40992 \nL 132.555109 202.394169 \nL 127.373795 198.722015 \nL 121.875027 194.315346 \nL 116.07927 189.097177 \nL 110.021731 182.997207 \nL 103.756034 175.959562 \nL 97.358057 167.952978 \nL 90.929781 158.983411 \nL 84.602482 149.108516 \nL 78.538687 138.452677 \nL 72.931852 127.220263 \nL 68.002774 115.703703 \nL 63.991626 104.28206 \nL 61.144806 93.405973 \nL 59.696721 83.565992 \nL 59.847449 75.245009 \nL 61.738828 68.859913 \nL 65.432856 64.703098 \nL 70.896744 62.897409 \nL 77.998668 63.377049 \nL 86.516253 65.900923 \nL 96.157068 70.095674 \nL 106.587462 75.516894 \nL 117.464214 81.712802 \nL 128.463433 88.276329 \nL 208.847971 137.345625 \nL 217.168805 142.833093 \nL 223.757246 147.44173 \nL 237.372376 157.276537 \nL 240.94077 159.38335 \nL 242.674754 160.216568 \nL 244.402364 160.897939 \nL 246.140108 161.422443 \nL 247.901681 161.78425 \nL 249.698111 161.976909 \nL 251.537868 161.99352 \nL 253.426939 161.826951 \nL 255.368853 161.470063 \nL 257.364675 160.915997 \nL 259.412962 160.158507 \nL 261.509687 159.19235 \nL 263.648146 158.013749 \nL 265.818847 156.620891 \nL 268.009422 155.014524 \nL 270.204531 153.198555 \nL 272.385817 151.180694 \nL 274.531943 148.973101 \nL 276.618659 146.592939 \nL 278.619046 144.062888 \nL 280.503859 141.411421 \nL 282.242017 138.672908 \nL 283.801308 135.88737 \nL 285.149195 133.0999 \nL 286.253892 130.359702 \nL 287.085464 127.718693 \nL 287.617112 125.229744 \nL 287.826438 122.944661 \nL 287.696669 120.911968 \nL 287.21775 119.174714 \nL 286.387187 117.768461 \nL 285.210576 116.719658 \nL 283.701763 116.044533 \nL 281.882562 115.748685 \nL 279.782092 115.82723 \nL 277.435724 116.265717 \nL 274.883746 117.041529 \nL 272.169804 118.125613 \nL 269.339308 119.484415 \nL 266.437817 121.081855 \nL 263.509597 122.881085 \nL 260.596352 124.845991 \nL 257.736262 126.942388 \nL 254.96325 129.138825 \nL 252.306575 131.407058 \nL 249.790668 133.722257 \nL 247.435186 136.062959 \nL 245.255261 138.41086 \nL 243.261865 140.750515 \nL 241.462281 143.068956 \nL 239.860606 145.355307 \nL 238.458291 147.600411 \nL 237.254648 149.796456 \nL 236.247345 151.936687 \nL 235.432862 154.015095 \nL 234.806874 156.026191 \nL 234.364606 157.964793 \nL 234.101133 159.825854 \nL 234.011597 161.604295 \nL 234.091416 163.294873 \nL 234.336414 164.892075 \nL 234.742934 166.389985 \nL 235.307889 167.78218 \nL 236.028791 169.061646 \nL 236.903754 170.220667 \nL 237.931454 171.25074 \nL 239.11106 172.142505 \nL 240.442152 172.885631 \nL 241.924589 173.468791 \nL 243.558357 173.879588 \nL 245.343386 174.104551 \nL 247.279325 174.129144 \nL 249.365275 173.937837 \nL 251.599484 173.514242 \nL 253.978992 172.841312 \nL 256.499229 171.901697 \nL 259.153564 170.678182 \nL 261.93279 169.154317 \nL 264.824606 167.31521 \nL 267.813009 165.148549 \nL 270.877732 162.645814 \nL 273.993683 159.803703 \nL 277.130418 156.625767 \nL 280.25176 153.124147 \nL 283.315565 149.32136 \nL 286.273759 145.251922 \nL 289.072695 140.963709 \nL 291.65395 136.518696 \nL 293.955595 131.992942 \nL 295.91399 127.475452 \nL 297.46613 123.065763 \nL 298.552493 118.87022 \nL 299.120189 114.996922 \nL 299.126255 111.549781 \nL 298.540854 108.622021 \nL 297.349934 106.290041 \nL 295.557159 104.608219 \nL 293.184753 103.605369 \nL 290.273086 103.283515 \nL 286.879034 103.618984 \nL 283.073156 104.565671 \nL 278.936038 106.060041 \nL 274.554099 108.026989 \nL 270.015345 110.385927 \nL 265.405382 113.056269 \nL 260.804063 115.961836 \nL 256.282881 119.03404 \nL 251.903278 122.213696 \nL 247.715778 125.451668 \nL 243.75985 128.708626 \nL 240.064386 131.954181 \nL 236.648595 135.165688 \nL 233.523174 138.326878 \nL 230.691613 141.426542 \nL 228.151534 144.457355 \nL 225.895969 147.414831 \nL 223.914547 150.296494 \nL 222.194537 153.101239 \nL 220.721746 155.828817 \nL 219.481276 158.479493 \nL 218.458128 161.053752 \nL 217.63769 163.552147 \nL 217.006103 165.975172 \nL 216.550537 168.32315 \nL 216.259383 170.596183 \nL 216.122384 172.794126 \nL 216.130702 174.916512 \nL 216.276963 176.96254 \nL 216.555257 178.931002 \nL 216.961117 180.820257 \nL 217.491491 182.628175 \nL 218.1447 184.352043 \nL 218.920384 185.9885 \nL 219.819454 187.533444 \nL 220.844035 188.981904 \nL 221.997415 190.327929 \nL 223.283978 191.564422 \nL 224.709148 192.682979 \nL 226.279316 193.67369 \nL 228.001762 194.524932 \nL 229.884564 195.223127 \nL 231.936464 195.752498 \nL 234.166738 196.094779 \nL 236.584981 196.228964 \nL 239.20088 196.131022 \nL 242.023884 195.773657 \nL 245.062807 195.126133 \nL 248.325311 194.154181 \nL 251.817272 192.82007 \nL 255.541983 191.082897 \nL 259.49918 188.899207 \nL 263.683876 186.22404 \nL 268.084998 183.012558 \nL 272.683777 179.222374 \nL 277.452004 174.816778 \nL 282.350122 169.76887 \nL 287.325302 164.066788 \nL 292.30965 157.719781 \nL 297.2188 150.765004 \nL 301.95117 143.27432 \nL 306.388325 135.360279 \nL 310.396781 127.18003 \nL 313.831786 118.935583 \nL 316.543272 110.868954 \nL 318.384083 103.250974 \nL 319.220204 96.363398 \nL 318.942202 90.475523 \nL 317.476587 85.817913 \nL 314.795552 82.557338 \nL 310.923318 80.777791 \nL 305.937689 80.471731 \nL 299.966122 81.543663 \nL 293.176602 83.825453 \nL 285.764578 87.100034 \nL 277.937937 91.128506 \nL 269.902167 95.675389 \nL 261.847667 100.528331 \nL 253.940404 105.510247 \nL 246.316328 110.48418 \nL 239.079403 115.352287 \nL 232.302489 120.051016 \nL 226.030232 124.544407 \nL 220.283112 128.817116 \nL 215.061922 132.868062 \nL 210.352192 136.705194 \nL 206.128227 140.341505 \nL 202.356585 143.792186 \nL 198.998959 147.072724 \nL 196.014464 150.197748 \nL 193.361397 153.18037 \nL 190.998533 156.031943 \nL 186.986115 161.378269 \nL 183.684674 166.292754 \nL 175.712331 178.684272 \nL 173.09905 182.027408 \nL 171.72071 183.539104 \nL 170.274863 184.937213 \nL 168.74769 186.214969 \nL 167.125964 187.364262 \nL 165.396932 188.375469 \nL 163.548231 189.237272 \nL 161.56785 189.936475 \nL 159.44412 190.457813 \nL 157.165769 190.783743 \nL 154.722033 190.894245 \nL 152.102828 190.766651 \nL 149.299008 190.375516 \nL 146.302726 189.692574 \nL 143.107886 188.686805 \nL 139.710729 187.324658 \nL 136.110571 185.570538 \nL 132.310668 183.387589 \nL 128.319272 180.738921 \nL 124.150823 177.589296 \nL 119.827301 173.907492 \nL 115.379682 169.669315 \nL 110.849435 164.861406 \nL 106.289935 159.485696 \nL 101.767642 153.564447 \nL 97.362865 147.145465 \nL 93.169802 140.306973 \nL 89.295558 133.16134 \nL 85.857877 125.856679 \nL 82.981287 118.575189 \nL 80.791538 111.527315 \nL 79.408415 104.941084 \nL 78.937314 99.046879 \nL 79.460249 94.058785 \nL 81.02735 90.154827 \nL 83.650044 87.459109 \nL 87.297105 86.029208 \nL 91.894465 85.851356 \nL 97.329115 86.844522 \nL 103.456747 88.872603 \nL 110.112116 91.762257 \nL 117.120698 95.322815 \nL 124.310111 99.365005 \nL 131.519921 103.715654 \nL 138.609016 108.227239 \nL 145.460145 112.782223 \nL 151.981797 117.293093 \nL 158.107868 121.699361 \nL 163.795683 125.963109 \nL 169.023032 130.063897 \nL 173.784748 133.994014 \nL 178.089204 137.754371 \nL 181.955023 141.351223 \nL 185.408175 144.793777 \nL 188.479498 148.092441 \nL 191.202675 151.257724 \nL 193.61264 154.299557 \nL 195.744364 157.226934 \nL 197.631964 160.047753 \nL 200.803483 165.395755 \nL 203.364603 170.385704 \nL 206.496855 177.258533 \nL 210.166539 185.350282 \nL 212.059317 188.941568 \nL 214.124053 192.217366 \nL 215.249002 193.730535 \nL 216.450194 195.15556 \nL 217.73848 196.487518 \nL 219.124823 197.720373 \nL 220.620401 198.846801 \nL 222.236689 199.857991 \nL 223.985522 200.743416 \nL 225.879135 201.490576 \nL 227.930165 202.084706 \nL 230.151632 202.508454 \nL 232.556852 202.741526 \nL 235.159322 202.760329 \nL 237.972506 202.537583 \nL 241.009541 202.041978 \nL 244.282846 201.237855 \nL 247.803577 200.085004 \nL 251.580922 198.538631 \nL 255.621195 196.549558 \nL 259.926719 194.064847 \nL 264.494413 191.028937 \nL 269.314119 187.385528 \nL 274.366619 183.080389 \nL 279.621386 178.065328 \nL 285.034121 172.303559 \nL 290.54418 165.776436 \nL 296.072163 158.491662 \nL 301.517891 150.492422 \nL 306.759305 141.866783 \nL 311.652752 132.756015 \nL 316.035334 123.359892 \nL 319.7299 113.936835 \nL 322.553124 104.796403 \nL 324.326798 96.282539 \nL 324.891734 88.747256 \nL 324.123205 82.516815 \nL 321.945915 77.854983 \nL 318.34595 74.930202 \nL 313.37745 73.793817 \nL 307.162018 74.374978 \nL 299.880431 76.493892 \nL 291.757619 79.890468 \nL 283.043417 84.26149 \nL 273.992181 89.298292 \nL 264.844366 94.717725 \nL 255.812368 100.282452 \nL 238.756906 111.172121 \nL 223.748044 121.117638 \nL 211.138958 129.874743 \nL 205.72967 133.823497 \nL 200.880405 137.512721 \nL 196.550664 140.965981 \nL 192.69422 144.206277 \nL 189.261973 147.254602 \nL 183.471646 152.845471 \nL 178.797265 157.849793 \nL 166.717312 171.438829 \nL 165.134664 172.888873 \nL 163.519311 174.205842 \nL 161.853674 175.38303 \nL 160.121833 176.412363 \nL 158.309361 177.28436 \nL 156.403234 177.988086 \nL 154.391741 178.511057 \nL 152.2645 178.839208 \nL 150.012487 178.956872 \nL 147.62815 178.84679 \nL 145.105585 178.490175 \nL 142.440797 177.866882 \nL 139.632018 176.955681 \nL 136.680148 175.734668 \nL 133.589231 174.181861 \nL 130.367059 172.276047 \nL 127.025836 169.997866 \nL 123.582884 167.331209 \nL 120.061415 164.264945 \nL 116.491249 160.794981 \nL 112.909498 156.92655 \nL 109.361065 152.676767 \nL 105.898929 148.077124 \nL 102.58401 143.175821 \nL 99.484567 138.039548 \nL 96.674939 132.754271 \nL 94.233584 127.424743 \nL 92.240301 122.172151 \nL 90.772677 117.12986 \nL 89.901933 112.436985 \nL 89.688338 108.230336 \nL 90.176644 104.635212 \nL 91.391972 101.756127 \nL 93.336703 99.668716 \nL 95.988772 98.41403 \nL 99.301772 97.996034 \nL 103.206923 98.382867 \nL 107.616788 99.511525 \nL 112.430299 101.295242 \nL 117.538622 103.632259 \nL 122.831105 106.414827 \nL 128.200801 109.537119 \nL 133.549054 112.90141 \nL 138.788894 116.422176 \nL 143.847142 120.028108 \nL 148.66529 123.662428 \nL 153.199377 127.281959 \nL 157.419067 130.855418 \nL 161.306212 134.361377 \nL 164.853118 137.78618 \nL 168.060706 141.122006 \nL 170.936709 144.365246 \nL 173.493985 147.515169 \nL 175.749042 150.572898 \nL 177.720749 153.540662 \nL 179.429271 156.421253 \nL 180.895218 159.217666 \nL 182.138963 161.932888 \nL 183.180134 164.569745 \nL 184.037249 167.130848 \nL 184.727452 169.618538 \nL 185.266363 172.034908 \nL 185.667979 174.381788 \nL 186.107089 178.873247 \nL 186.124179 183.102982 \nL 185.774129 187.077579 \nL 185.08958 190.800017 \nL 184.083301 194.269045 \nL 182.750204 197.478089 \nL 181.955001 198.981203 \nL 181.068818 200.413546 \nL 180.086556 201.771911 \nL 179.002172 203.052283 \nL 177.808681 204.249704 \nL 176.498149 205.3581 \nL 175.061695 206.370103 \nL 173.489477 207.276815 \nL 171.770701 208.067548 \nL 169.893631 208.729534 \nL 167.845621 209.247575 \nL 165.613162 209.603654 \nL 163.181983 209.776516 \nL 160.537178 209.741188 \nL 157.663432 209.468495 \nL 154.545293 208.924542 \nL 151.167606 208.070233 \nL 147.516045 206.860865 \nL 143.577861 205.245849 \nL 139.342843 203.168696 \nL 134.804555 200.567385 \nL 129.961881 197.375305 \nL 124.820952 193.52303 \nL 119.397472 188.941194 \nL 113.719413 183.564769 \nL 107.830102 177.339153 \nL 101.791558 170.228181 \nL 95.687817 162.224218 \nL 89.627935 153.360027 \nL 83.74814 143.721547 \nL 78.212369 133.460031 \nL 73.210362 122.801103 \nL 68.952437 112.047513 \nL 65.660168 101.572028 \nL 63.552577 91.797504 \nL 62.828421 83.163143 \nL 63.645919 76.079129 \nL 66.102675 70.876064 \nL 70.219229 67.759116 \nL 75.929787 66.777932 \nL 83.082962 67.820692 \nL 91.45321 70.63495 \nL 100.761473 74.86997 \nL 110.701293 80.129931 \nL 120.965764 86.025328 \nL 131.270892 92.21259 \nL 151.075825 104.44034 \nL 176.602471 120.420065 \nL 190.180107 129.10271 \nL 201.12144 136.40236 \nL 209.801942 142.587843 \nL 216.675051 147.889919 \nL 222.188133 152.472449 \nL 232.498894 161.32345 \nL 236.004391 163.884451 \nL 237.735223 164.947873 \nL 239.478981 165.85978 \nL 241.252977 166.613561 \nL 243.072068 167.201504 \nL 244.948787 167.614888 \nL 246.893434 167.844071 \nL 248.914132 167.87862 \nL 251.01679 167.707465 \nL 253.205067 167.319133 \nL 255.480249 166.70201 \nL 257.841084 165.844701 \nL 260.28358 164.736501 \nL 262.80075 163.367955 \nL 265.382346 161.731549 \nL 268.014563 159.822535 \nL 270.679757 157.639841 \nL 273.356196 155.187126 \nL 276.017887 152.473844 \nL 278.634484 149.516368 \nL 281.171373 146.33901 \nL 283.589942 142.974864 \nL 285.848093 139.466343 \nL 287.901043 135.86527 \nL 289.702448 132.23238 \nL 291.205847 128.636132 \nL 292.366383 125.150731 \nL 293.142798 121.853429 \nL 293.499523 118.821127 \nL 293.408789 116.126601 \nL 292.852581 113.834566 \nL 291.824195 111.998003 \nL 290.32928 110.655157 \nL 288.38624 109.827589 \nL 286.025853 109.519419 \nL 283.29014 109.717865 \nL 280.230589 110.395152 \nL 276.90582 111.511232 \nL 273.378959 113.017227 \nL 269.714898 114.858997 \nL 265.977711 116.980583 \nL 262.228315 119.327105 \nL 258.522656 121.847115 \nL 254.910316 124.494115 \nL 251.433702 127.227454 \nL 248.127677 130.012592 \nL 245.019624 132.820953 \nL 242.12984 135.629432 \nL 239.472164 138.419719 \nL 237.054743 141.177549 \nL 234.880896 143.89198 \nL 232.949992 146.55468 \nL 231.258274 149.159319 \nL 229.799657 151.701062 \nL 228.566427 154.176115 \nL 227.549851 156.581414 \nL 226.740701 158.914313 \nL 226.129688 161.172386 \nL 225.70781 163.353258 \nL 225.466625 165.454455 \nL 225.398465 167.473295 \nL 225.496582 169.406774 \nL 225.755254 171.25148 \nL 226.169851 173.003498 \nL 226.736861 174.658319 \nL 227.453891 176.210734 \nL 228.319645 177.654744 \nL 229.333883 178.983431 \nL 230.497361 180.188829 \nL 231.811741 181.261825 \nL 233.279502 182.191977 \nL 234.903814 182.967414 \nL 236.688389 183.574649 \nL 238.637309 183.998474 \nL 240.754814 184.221811 \nL 243.04504 184.225623 \nL 245.511709 183.988875 \nL 248.157769 183.488548 \nL 250.984931 182.699725 \nL 253.99316 181.595898 \nL 257.180031 180.149369 \nL 260.540021 178.331937 \nL 264.063682 176.115868 \nL 267.736705 173.475242 \nL 271.538929 170.387695 \nL 275.443253 166.836642 \nL 279.4146 162.813974 \nL 283.408922 158.32317 \nL 287.372413 153.382756 \nL 291.241023 148.029835 \nL 294.940479 142.323371 \nL 298.387017 136.346723 \nL 301.488948 130.208834 \nL 304.149289 124.043433 \nL 306.269505 118.005643 \nL 307.75435 112.265616 \nL 308.517617 106.999103 \nL 308.48834 102.37565 \nL 307.61693 98.545522 \nL 305.880493 95.626901 \nL 303.286531 93.695541 \nL 299.874425 92.778451 \nL 295.714317 92.85286 \nL 290.903278 93.850689 \nL 285.559301 95.667679 \nL 279.813711 98.175435 \nL 273.803018 101.234483 \nL 267.661122 104.706183 \nL 261.512614 108.462277 \nL 255.467787 112.391202 \nL 249.619403 116.401277 \nL 244.041283 120.421197 \nL 238.788366 124.398551 \nL 233.897903 128.297233 \nL 229.391409 132.094344 \nL 225.277006 135.777118 \nL 221.551898 139.34011 \nL 218.204766 142.78292 \nL 215.217966 146.108338 \nL 212.569451 149.321003 \nL 210.23439 152.426462 \nL 208.18649 155.430512 \nL 206.399041 158.338811 \nL 204.845711 161.15666 \nL 203.501134 163.888901 \nL 202.341316 166.539875 \nL 200.488298 171.613082 \nL 199.129455 176.402432 \nL 198.136501 180.928917 \nL 197.407863 185.209906 \nL 196.643733 191.203236 \nL 195.820521 200.154473 \nL 194.831065 210.783013 \nL 194.080323 215.988154 \nL 193.331501 219.520388 \nL 192.351918 222.752472 \nL 191.530298 224.744953 \nL 190.538312 226.607619 \nL 189.338153 228.336842 \nL 187.883734 229.924298 \nL 186.118817 231.354888 \nL 183.974807 232.603653 \nL 181.368223 233.631212 \nL 179.860622 234.044191 \nL 178.197899 234.37704 \nL 176.364164 234.617281 \nL 174.342075 234.749673 \nL 172.112774 234.755638 \nL 169.655844 234.612601 \nL 166.949327 234.293211 \nL 163.96978 233.764442 \nL 160.692436 232.986579 \nL 157.091474 231.912094 \nL 153.14046 230.48444 \nL 148.813019 228.636826 \nL 144.0838 226.291099 \nL 138.929829 223.356865 \nL 133.332385 219.731169 \nL 127.27949 215.299069 \nL 120.769169 209.935711 \nL 113.81365 203.510577 \nL 106.444506 195.894839 \nL 98.718881 186.972833 \nL 90.726536 176.658642 \nL 82.597447 164.918387 \nL 74.509046 151.79797 \nL 66.69192 137.45437 \nL 59.432012 122.18609 \nL 53.066929 106.455197 \nL 47.973665 90.89049 \nL 44.545545 76.260233 \nL 43.157727 63.405829 \nL 44.123314 53.136926 \nL 47.64611 46.102575 \nL 53.779468 42.668641 \nL 62.402187 42.83892 \nL 73.220394 46.250099 \nL 85.797883 52.246812 \nL 99.609233 60.013661 \nL 143.142034 86.24224 \nL 156.903077 94.145397 \nL 169.805846 101.165469 \nL 181.705967 107.239008 \nL 192.536486 112.388564 \nL 202.288933 116.686658 \nL 210.99563 120.229456 \nL 218.714906 123.119501 \nL 225.51969 125.455634 \nL 231.489271 127.327962 \nL 236.703668 128.815942 \nL 245.170605 130.903633 \nL 251.472616 132.155741 \nL 257.832937 133.132518 \nL 262.232903 133.78379 \nL 263.209916 134.109337 \nL 263.603227 134.53112 \nL 263.551324 135.085952 \nL 263.17355 135.788555 \nL 259.62766 141.015507 \nL 258.85195 142.761101 \nL 258.548535 143.853482 \nL 258.443133 144.845823 \nL 258.548687 145.703676 \nL 258.869728 146.395387 \nL 259.402919 146.892693 \nL 260.137437 147.171462 \nL 261.055222 147.212615 \nL 262.131098 147.003243 \nL 263.332861 146.538018 \nL 264.621407 145.820668 \nL 265.951134 144.865574 \nL 267.270662 143.699031 \nL 268.524161 142.360073 \nL 269.653373 140.900439 \nL 270.600352 139.383314 \nL 271.310927 137.880681 \nL 271.73864 136.469229 \nL 271.848808 135.225052 \nL 271.622133 134.217725 \nL 271.381347 133.821412 \nL 271.057402 133.504562 \nL 270.653165 133.271643 \nL 269.621208 133.069112 \nL 268.330887 133.223759 \nL 266.842274 133.725278 \nL 265.225621 134.545425 \nL 263.556268 135.641729 \nL 261.909655 136.961804 \nL 260.35684 138.447562 \nL 258.961129 140.038799 \nL 257.775855 141.675851 \nL 256.843336 143.30133 \nL 256.194737 144.861064 \nL 255.850581 146.304393 \nL 255.821626 147.584225 \nL 256.109758 148.656923 \nL 256.70874 149.482346 \nL 257.60465 150.024167 \nL 258.775946 150.250627 \nL 260.193131 150.135823 \nL 261.818171 149.661629 \nL 263.603773 148.820224 \nL 265.492711 147.617081 \nL 267.417621 146.074248 \nL 269.30157 144.23332 \nL 271.05976 142.157551 \nL 272.602764 139.932147 \nL 273.841416 137.662075 \nL 274.693225 135.466685 \nL 275.08988 133.471153 \nL 275.101936 132.586383 \nL 274.98483 131.795552 \nL 274.737227 131.110938 \nL 274.359833 130.543061 \nL 273.855451 130.100454 \nL 273.229005 129.789442 \nL 272.487425 129.61404 \nL 271.639543 129.575917 \nL 270.695901 129.674425 \nL 268.570567 130.268053 \nL 266.220074 131.349899 \nL 263.762424 132.85129 \nL 261.315382 134.689026 \nL 258.988214 136.773791 \nL 256.875812 139.016801 \nL 255.055372 141.334051 \nL 253.585518 143.648415 \nL 252.507234 145.890039 \nL 251.845957 147.995626 \nL 251.614149 149.90715 \nL 251.813777 151.570532 \nL 252.073626 152.293039 \nL 252.438293 152.93444 \nL 252.90583 153.488625 \nL 253.473864 153.949621 \nL 254.139592 154.311589 \nL 254.899742 154.568854 \nL 255.750551 154.71597 \nL 256.687706 154.747779 \nL 257.706288 154.659491 \nL 258.800703 154.446808 \nL 261.190777 153.634328 \nL 263.796591 152.291371 \nL 266.540963 150.417604 \nL 269.328981 148.038371 \nL 272.047473 145.211893 \nL 274.566793 142.035156 \nL 276.745796 138.646366 \nL 277.662498 136.926276 \nL 278.440574 135.221767 \nL 279.063661 133.559066 \nL 279.51695 131.965031 \nL 279.78768 130.466388 \nL 279.865637 129.08895 \nL 279.743618 127.856772 \nL 279.417792 126.791375 \nL 278.887987 125.91103 \nL 278.157848 125.230144 \nL 277.234868 124.75886 \nL 276.130269 124.502812 \nL 274.858746 124.463106 \nL 273.438066 124.636499 \nL 271.888572 125.015785 \nL 270.232602 125.590266 \nL 268.493853 126.346403 \nL 266.696726 127.268445 \nL 263.024779 129.540338 \nL 259.403598 132.26064 \nL 255.997706 135.286092 \nL 252.940415 138.486171 \nL 250.33079 141.747911 \nL 248.235384 144.976106 \nL 246.693025 148.090799 \nL 246.135308 149.583833 \nL 245.721001 151.023486 \nL 245.449926 152.402329 \nL 245.321298 153.713171 \nL 245.333866 154.948965 \nL 245.486023 156.102701 \nL 245.775896 157.167349 \nL 246.201414 158.135778 \nL 246.760344 159.000703 \nL 247.450302 159.754654 \nL 248.26874 160.389945 \nL 249.212906 160.898671 \nL 250.279789 161.272732 \nL 251.466026 161.503847 \nL 252.767789 161.583651 \nL 254.180655 161.503779 \nL 255.699459 161.256019 \nL 257.318118 160.832483 \nL 259.029437 160.225852 \nL 260.824915 159.429685 \nL 262.69454 158.43874 \nL 264.626555 157.2494 \nL 266.607289 155.860132 \nL 268.620953 154.272028 \nL 270.64951 152.489323 \nL 272.67257 150.519993 \nL 274.667361 148.376282 \nL 276.608824 146.075201 \nL 278.469774 143.638927 \nL 280.221209 141.095013 \nL 281.83279 138.476385 \nL 283.273466 135.821088 \nL 284.512239 133.171671 \nL 285.519106 130.574223 \nL 286.266116 128.077096 \nL 286.728481 125.729246 \nL 286.88573 123.578412 \nL 286.722772 121.669101 \nL 286.230872 120.040652 \nL 285.408346 118.725436 \nL 284.261027 117.747459 \nL 282.802327 117.121418 \nL 281.053 116.85229 \nL 279.040458 116.9356 \nL 276.797844 117.358141 \nL 274.362782 118.099267 \nL 271.775992 119.132429 \nL 269.079816 120.426881 \nL 266.316791 121.949444 \nL 263.528311 123.666062 \nL 260.753494 125.543198 \nL 258.028273 127.548891 \nL 255.384731 129.653525 \nL 252.850705 131.830305 \nL 250.449617 134.055454 \nL 248.200504 136.308217 \nL 246.118217 138.570715 \nL 244.213738 140.827673 \nL 242.494606 143.066105 \nL 240.965353 145.274992 \nL 239.627998 147.444913 \nL 238.482514 149.567741 \nL 237.527277 151.636354 \nL 236.75948 153.644353 \nL 236.175508 155.585857 \nL 235.771259 157.455283 \nL 235.542415 159.247178 \nL 235.484677 160.956078 \nL 235.593928 162.576366 \nL 235.866387 164.102146 \nL 236.298684 165.527145 \nL 236.887937 166.844599 \nL 237.631766 168.04718 \nL 238.528279 169.126882 \nL 239.576038 170.074947 \nL 240.773994 170.881802 \nL 242.121381 171.536989 \nL 243.617589 172.029121 \nL 245.262002 172.345861 \nL 247.053811 172.473932 \nL 248.991766 172.399174 \nL 251.073925 172.106653 \nL 253.297325 171.580831 \nL 255.657641 170.805853 \nL 258.148776 169.765926 \nL 260.762419 168.445842 \nL 263.487577 166.831647 \nL 266.310042 164.911494 \nL 269.211897 162.676661 \nL 272.170986 160.122783 \nL 275.160444 157.251221 \nL 278.148317 154.070603 \nL 281.097306 150.59835 \nL 283.964744 146.862195 \nL 286.702784 142.901468 \nL 289.258978 138.767952 \nL 291.577259 134.526168 \nL 293.599348 130.252744 \nL 295.266676 126.034803 \nL 296.522708 121.967178 \nL 297.315668 118.148487 \nL 297.601412 114.67626 \nL 297.346348 111.641379 \nL 296.530055 109.122527 \nL 295.147364 107.181074 \nL 293.209586 105.857204 \nL 290.744786 105.167595 \nL 287.796904 105.105236 \nL 284.423834 105.641143 \nL 280.694585 106.727848 \nL 276.685825 108.304081 \nL 272.478083 110.299979 \nL 268.152044 112.642255 \nL 263.785195 115.258748 \nL 259.449018 118.081941 \nL 255.206948 121.051382 \nL 251.113066 124.115051 \nL 247.211506 127.229735 \nL 243.536504 130.360698 \nL 240.112888 133.480905 \nL 236.956958 136.569941 \nL 234.077543 139.612854 \nL 231.477184 142.599068 \nL 229.153322 145.521339 \nL 227.099426 148.374903 \nL 225.306038 151.156782 \nL 223.761699 153.865188 \nL 222.45373 156.499117 \nL 221.368908 159.058024 \nL 220.493995 161.541596 \nL 219.816173 163.94955 \nL 219.323368 166.281529 \nL 219.004502 168.537015 \nL 218.849659 170.715242 \nL 218.850203 172.815128 \nL 218.998851 174.835236 \nL 219.289698 176.77371 \nL 219.718228 178.628202 \nL 220.281296 180.39581 \nL 220.977095 182.073003 \nL 221.805112 183.655499 \nL 222.766079 185.138203 \nL 223.861914 186.515037 \nL 225.095657 187.778838 \nL 226.471393 188.921188 \nL 227.994178 189.93222 \nL 229.669934 190.800456 \nL 231.50535 191.512581 \nL 233.507732 192.053223 \nL 235.684844 192.404733 \nL 238.044697 192.546947 \nL 240.595287 192.456982 \nL 243.344265 192.109072 \nL 246.298539 191.474449 \nL 249.463747 190.521359 \nL 252.843649 189.215206 \nL 256.43936 187.518952 \nL 260.248431 185.393792 \nL 264.263772 182.800275 \nL 268.472387 179.699904 \nL 272.853961 176.057389 \nL 277.379317 171.843653 \nL 282.008783 167.039607 \nL 286.690599 161.640776 \nL 291.359501 155.662571 \nL 295.935706 149.14595 \nL 300.324537 142.162946 \nL 304.417077 134.82125 \nL 308.092118 127.266794 \nL 311.219761 119.683142 \nL 313.666871 112.28655 \nL 315.304339 105.315766 \nL 316.015893 99.016703 \nL 315.707757 93.622766 \nL 314.318112 89.333267 \nL 311.825036 86.293111 \nL 308.251588 84.577506 \nL 303.666943 84.1848 \nL 298.183098 85.039088 \nL 291.947284 87.002258 \nL 285.131171 89.892746 \nL 277.918328 93.507391 \nL 270.491754 97.642371 \nL 263.022921 102.109977 \nL 255.663438 106.749803 \nL 248.53977 111.433947 \nL 241.750955 116.067373 \nL 235.368792 120.584778 \nL 229.439858 124.945648 \nL 223.988682 129.128664 \nL 219.02143 133.1264 \nL 214.529692 136.940751 \nL 210.494026 140.579351 \nL 206.887116 144.052864 \nL 203.676428 147.373142 \nL 200.826383 150.551981 \nL 198.300063 153.600426 \nL 196.060511 156.528356 \nL 194.071668 159.344367 \nL 190.710075 164.668542 \nL 187.964232 169.617193 \nL 183.494307 178.488439 \nL 181.439408 182.431771 \nL 179.327204 186.043813 \nL 177.047133 189.309179 \nL 175.812594 190.803702 \nL 174.499035 192.199951 \nL 173.094688 193.49194 \nL 171.587829 194.672417 \nL 169.966679 195.732679 \nL 168.219333 196.662367 \nL 166.333705 197.449224 \nL 164.297523 198.078848 \nL 162.09835 198.534393 \nL 159.723654 198.796275 \nL 157.160943 198.841861 \nL 154.397971 198.645164 \nL 151.423022 198.176569 \nL 148.225308 197.402612 \nL 144.795497 196.285881 \nL 141.12639 194.785086 \nL 137.213775 192.855394 \nL 133.057488 190.449133 \nL 128.66272 187.516994 \nL 124.041542 184.009911 \nL 119.21467 179.881791 \nL 114.213482 175.093215 \nL 109.082138 169.616325 \nL 103.879714 163.440849 \nL 98.682196 156.581193 \nL 93.583988 149.084212 \nL 88.698578 141.036901 \nL 84.15789 132.572895 \nL 80.109838 123.876192 \nL 76.713618 115.180289 \nL 74.132379 106.760951 \nL 72.523353 98.92131 \nL 72.025857 91.969451 \nL 72.748231 86.190195 \nL 74.755359 81.814782 \nL 78.058685 78.993955 \nL 82.610754 77.779894 \nL 88.305632 78.121439 \nL 94.985674 79.873993 \nL 102.453816 82.821854 \nL 110.489602 86.708146 \nL 118.866355 91.265819 \nL 127.367054 96.244194 \nL 135.796988 101.427432 \nL 143.99219 106.64401 \nL 159.197052 116.716374 \nL 172.354694 125.913583 \nL 178.097499 130.135685 \nL 183.289866 134.113201 \nL 187.955555 137.860827 \nL 192.128108 141.396427 \nL 195.847408 144.738507 \nL 199.156915 147.904709 \nL 202.101538 150.910877 \nL 204.726052 153.770722 \nL 209.186779 159.095042 \nL 212.860312 163.944138 \nL 220.321926 174.178083 \nL 223.158347 177.516206 \nL 224.626628 179.011989 \nL 226.150694 180.385037 \nL 227.745843 181.628363 \nL 229.426361 182.733593 \nL 231.205654 183.690866 \nL 233.096336 184.488684 \nL 235.110285 185.113772 \nL 237.258629 185.550932 \nL 239.551694 185.782906 \nL 241.998888 185.790284 \nL 244.608501 185.551425 \nL 247.387446 185.042469 \nL 250.340871 184.237409 \nL 253.471718 183.108377 \nL 256.780123 181.626031 \nL 260.262724 179.760272 \nL 263.911832 177.48124 \nL 267.714496 174.760674 \nL 271.651433 171.57381 \nL 275.695921 167.901698 \nL 279.812665 163.734118 \nL 283.956714 159.072976 \nL 288.072547 153.936082 \nL 292.093545 148.361067 \nL 295.941939 142.409055 \nL 299.529492 136.167603 \nL 302.759182 129.752136 \nL 305.52797 123.305242 \nL 307.730859 116.993058 \nL 309.266128 110.998234 \nL 310.041641 105.509668 \nL 309.981655 100.709299 \nL 309.033576 96.757567 \nL 307.173778 93.779276 \nL 304.41164 91.852171 \nL 300.791066 91.000265 \nL 296.389079 91.193163 \nL 291.311465 92.351571 \nL 285.685939 94.357918 \nL 279.65371 97.070128 \nL 273.360534 100.336166 \nL 266.948226 104.007043 \nL 260.547558 107.946896 \nL 254.273069 112.039429 \nL 248.219905 116.19073 \nL 242.462592 120.329266 \nL 237.055403 124.403844 \nL 232.033897 128.380433 \nL 227.417174 132.238626 \nL 223.210531 135.96822 \nL 219.40815 139.56623 \nL 215.995682 143.034415 \nL 212.952561 146.377448 \nL 210.253997 149.601525 \nL 207.87265 152.713452 \nL 205.779957 155.720012 \nL 203.947176 158.627647 \nL 202.346169 161.442254 \nL 200.949959 164.169117 \nL 198.671973 169.37773 \nL 196.931655 174.284463 \nL 195.577644 178.913294 \nL 194.009048 185.375836 \nL 191.061774 198.441408 \nL 190.139637 201.697812 \nL 189.097367 204.751823 \nL 187.891397 207.603727 \nL 186.475465 210.24943 \nL 184.798106 212.678866 \nL 182.800252 214.873699 \nL 181.660019 215.874346 \nL 180.412863 216.803958 \nL 179.048212 217.656191 \nL 177.554579 218.423276 \nL 175.919504 219.095737 \nL 174.129492 219.662083 \nL 172.169977 220.108442 \nL 170.025298 220.41811 \nL 167.678703 220.571054 \nL 165.112402 220.543351 \nL 162.307661 220.306535 \nL 159.244997 219.82689 \nL 155.904452 219.064711 \nL 152.266021 217.973521 \nL 148.310249 216.499366 \nL 144.019067 214.580204 \nL 139.376927 212.145598 \nL 134.372277 209.116815 \nL 128.999502 205.407682 \nL 123.261396 200.926502 \nL 117.172169 195.579491 \nL 110.761143 189.276263 \nL 104.077006 181.937903 \nL 97.192551 173.508166 \nL 90.209614 163.96799 \nL 83.263649 153.353049 \nL 76.527222 141.773151 \nL 70.211236 129.431056 \nL 64.562552 116.636519 \nL 59.856487 103.810146 \nL 56.382856 91.470851 \nL 54.425205 80.201838 \nL 54.23385 70.593968 \nL 55.995688 63.171796 \nL 59.805471 58.315279 \nL 65.644426 56.195957 \nL 73.372198 56.746262 \nL 82.73542 59.673001 \nL 93.392519 64.512617 \nL 104.950039 70.712474 \nL 117.003107 77.715833 \nL 163.444762 105.528117 \nL 182.700468 116.489675 \nL 198.554335 125.15131 \nL 244.155231 149.455839 \nL 247.702849 150.968811 \nL 250.91019 151.957706 \nL 252.436181 152.257392 \nL 253.93022 152.426879 \nL 255.403391 152.465522 \nL 256.864014 152.372647 \nL 258.317826 152.147753 \nL 259.768166 151.790754 \nL 261.216095 151.30217 \nL 262.660547 150.683362 \nL 264.098425 149.936764 \nL 266.932689 148.076494 \nL 269.658143 145.770103 \nL 272.189822 143.095983 \nL 274.424467 140.165593 \nL 276.24868 137.122909 \nL 276.971266 135.611954 \nL 277.549684 134.138279 \nL 277.972043 132.725278 \nL 278.228177 131.396141 \nL 278.310024 130.173204 \nL 278.212033 129.0773 \nL 277.931476 128.127099 \nL 277.468656 127.338565 \nL 276.827082 126.724446 \nL 276.013459 126.293966 \nL 275.037628 126.052589 \nL 273.912351 126.00199 \nL 272.652991 126.140196 \nL 271.277131 126.461828 \nL 269.8041 126.958505 \nL 268.25447 127.619274 \nL 265.010683 129.379768 \nL 261.715343 131.624813 \nL 258.526811 134.227563 \nL 255.581648 137.064831 \nL 252.988864 140.024375 \nL 250.828642 143.007882 \nL 249.154459 145.930698 \nL 247.997286 148.719674 \nL 247.61734 150.043535 \nL 247.370613 151.310212 \nL 247.256854 152.512444 \nL 247.275288 153.643153 \nL 247.424703 154.695343 \nL 247.703535 155.662052 \nL 248.109922 156.536296 \nL 248.641737 157.31101 \nL 249.296599 157.979055 \nL 250.071858 158.533189 \nL 250.964561 158.966069 \nL 251.971401 159.27029 \nL 253.088636 159.438433 \nL 254.311998 159.463154 \nL 255.636572 159.337279 \nL 257.056665 159.053965 \nL 258.565665 158.606866 \nL 260.155877 157.990381 \nL 261.818368 157.199916 \nL 263.542793 156.23221 \nL 265.317241 155.085691 \nL 267.128086 153.760885 \nL 268.959866 152.26083 \nL 270.79521 150.591543 \nL 272.614798 148.762435 \nL 274.397412 146.786722 \nL 276.12004 144.681747 \nL 277.758107 142.46921 \nL 279.285817 140.175217 \nL 280.676599 137.830167 \nL 281.90368 135.468378 \nL 282.940786 133.127489 \nL 283.762962 130.847538 \nL 284.347416 128.669839 \nL 284.674439 126.635613 \nL 284.728314 124.784491 \nL 284.498128 123.152945 \nL 283.978476 121.7728 \nL 283.16994 120.669918 \nL 282.079377 119.863182 \nL 280.719896 119.363842 \nL 279.110567 119.175301 \nL 277.275845 119.293356 \nL 275.244755 119.706825 \nL 273.049904 120.398535 \nL 270.726352 121.346507 \nL 268.310429 122.525286 \nL 265.838615 123.907286 \nL 263.346456 125.46399 \nL 260.867681 127.167061 \nL 258.433454 128.989182 \nL 256.071834 130.904697 \nL 253.80742 132.890017 \nL 251.661203 134.923851 \nL 249.650556 136.987239 \nL 247.789363 139.063511 \nL 246.088262 141.138081 \nL 244.554949 143.198252 \nL 243.194539 145.232963 \nL 242.009936 147.232511 \nL 241.00222 149.18832 \nL 240.171016 151.092687 \nL 239.514827 152.938559 \nL 239.031348 154.719348 \nL 238.717734 156.428759 \nL 238.570847 158.060612 \nL 238.587431 159.608729 \nL 238.764269 161.066789 \nL 239.098302 162.428238 \nL 239.586707 163.686166 \nL 240.226934 164.833256 \nL 241.016726 165.861661 \nL 241.954086 166.762965 \nL 243.037241 167.528114 \nL 244.264553 168.14739 \nL 245.634411 168.610369 \nL 247.14509 168.905927 \nL 248.79458 169.022298 \nL 250.580379 168.947123 \nL 252.499257 168.667605 \nL 254.546983 168.17069 \nL 256.718021 167.443341 \nL 259.005184 166.472929 \nL 261.399269 165.247678 \nL 263.88866 163.757307 \nL 266.458934 161.993733 \nL 269.092441 159.951951 \nL 271.76794 157.631051 \nL 274.460257 155.035279 \nL 277.140047 152.175248 \nL 279.773683 149.069065 \nL 282.323302 145.743408 \nL 284.747119 142.234368 \nL 286.999962 138.587964 \nL 289.034168 134.860114 \nL 290.800798 131.115967 \nL 292.251218 127.428462 \nL 293.338983 123.876047 \nL 294.021951 120.539626 \nL 294.264519 117.498806 \nL 294.03983 114.827783 \nL 293.33175 112.59118 \nL 292.136394 110.840294 \nL 290.463083 109.610098 \nL 288.334519 108.917562 \nL 285.786166 108.761222 \nL 282.864853 109.122237 \nL 279.626671 109.96674 \nL 276.134387 111.249031 \nL 272.454592 112.915366 \nL 268.654817 114.907791 \nL 264.800857 117.167643 \nL 260.95448 119.638492 \nL 257.171625 122.26826 \nL 253.50118 125.010653 \nL 249.984275 127.825796 \nL 246.654092 130.680348 \nL 243.536068 133.547119 \nL 240.648422 136.404478 \nL 238.002894 139.235552 \nL 235.605609 142.027429 \nL 233.45799 144.770376 \nL 231.557681 147.457133 \nL 229.899414 150.08228 \nL 228.475794 152.641749 \nL 227.278001 155.132409 \nL 226.296398 157.551741 \nL 225.521032 159.897565 \nL 224.942059 162.16785 \nL 224.550066 164.360568 \nL 224.336325 166.473542 \nL 224.292994 168.504355 \nL 224.413245 170.45025 \nL 224.691353 172.308044 \nL 225.122753 174.074043 \nL 225.704052 175.743943 \nL 226.433031 177.312748 \nL 227.308608 178.774645 \nL 228.330799 180.122896 \nL 229.500652 181.349721 \nL 230.820169 182.446153 \nL 232.292203 183.401902 \nL 233.920348 184.205192 \nL 235.708797 184.84261 \nL 237.662161 185.298943 \nL 239.785281 185.55705 \nL 242.082964 185.597726 \nL 244.559696 185.399629 \nL 247.219267 184.939263 \nL 250.06434 184.191057 \nL 253.095915 183.127558 \nL 256.312719 181.719842 \nL 259.71047 179.938116 \nL 263.281034 177.752648 \nL 267.011465 175.135066 \nL 270.882971 172.060088 \nL 274.869764 168.507733 \nL 278.937926 164.466097 \nL 283.044311 159.934582 \nL 287.1356 154.927547 \nL 291.147666 149.478151 \nL 295.005417 143.64205 \nL 298.623315 137.500433 \nL 301.906811 131.161801 \nL 304.754845 124.761702 \nL 307.063573 118.459797 \nL 308.73131 112.433683 \nL 309.664527 106.869398 \nL 309.784476 101.949008 \nL 309.033925 97.836443 \nL 307.383097 94.663433 \nL 304.834076 92.517544 \nL 301.422896 91.434498 \nL 297.218755 91.39617 \nL 292.320356 92.33467 \nL 286.849682 94.141789 \nL 280.94397 96.681984 \nL 274.746926 99.806624 \nL 268.400215 103.367233 \nL 262.036118 107.226193 \nL 255.771953 111.263804 \nL 249.70649 115.381985 \nL 243.918331 119.504796 \nL 238.465912 123.57688 \nL 233.388772 127.560566 \nL 228.709644 131.43246 \nL 224.436975 135.18001 \nL 220.567595 138.798477 \nL 217.089298 142.288396 \nL 213.983185 145.653588 \nL 211.225726 148.899722 \nL 208.790469 152.03328 \nL 206.649452 155.060902 \nL 204.774294 157.98896 \nL 203.13703 160.82336 \nL 201.710721 163.569422 \nL 200.469874 166.231892 \nL 198.451274 171.322247 \nL 196.913429 176.122225 \nL 195.718281 180.653603 \nL 194.331796 186.98456 \nL 191.700883 199.803086 \nL 190.415467 204.532962 \nL 189.403771 207.444766 \nL 188.221418 210.16392 \nL 186.824169 212.686168 \nL 185.161678 215.001349 \nL 183.175249 217.091079 \nL 182.039374 218.042599 \nL 180.795562 218.925356 \nL 179.433108 219.73299 \nL 177.940351 220.457697 \nL 176.30461 221.089959 \nL 174.512129 221.618206 \nL 172.548024 222.02845 \nL 170.396261 222.30382 \nL 168.039655 222.424045 \nL 165.459913 222.36486 \nL 162.637729 222.097336 \nL 159.552965 221.587137 \nL 156.18493 220.793719 \nL 152.512801 219.66952 \nL 148.516227 218.159177 \nL 144.176171 216.198855 \nL 139.476074 213.715853 \nL 134.403354 210.628668 \nL 128.951421 206.847777 \nL 123.122194 202.27754 \nL 116.929275 196.819703 \nL 110.40178 190.379017 \nL 103.588799 182.871655 \nL 96.564414 174.236902 \nL 89.432925 164.452456 \nL 82.333776 153.553035 \nL 75.445318 141.651122 \nL 68.986271 128.957109 \nL 63.21333 115.794552 \nL 58.413362 102.604493 \nL 54.888655 89.932111 \nL 52.934885 78.390192 \nL 52.812426 68.598138 \nL 54.714239 61.102306 \nL 58.735335 56.292184 \nL 64.850556 54.333032 \nL 72.906579 55.135189 \nL 82.632084 58.371664 \nL 93.665107 63.540401 \nL 105.592379 70.053109 \nL 117.992336 77.325851 \nL 154.416002 99.200581 \nL 165.429848 105.601437 \nL 175.626803 111.365665 \nL 193.385432 121.001302 \nL 207.712834 128.428419 \nL 231.502639 140.380514 \nL 242.515223 145.7965 \nL 246.535125 147.587136 \nL 249.963131 148.859862 \nL 253.00724 149.645971 \nL 255.814935 149.960974 \nL 257.162071 149.944585 \nL 258.482828 149.813544 \nL 259.782664 149.56906 \nL 262.330347 148.746794 \nL 264.806855 147.498873 \nL 267.185752 145.861208 \nL 269.417265 143.889069 \nL 271.433591 141.660091 \nL 273.155151 139.275019 \nL 274.498155 136.855143 \nL 275.383517 134.535945 \nL 275.633524 133.457895 \nL 275.746475 132.457002 \nL 275.718047 131.549247 \nL 275.545892 130.749225 \nL 275.229817 130.069752 \nL 274.77188 129.521514 \nL 274.176454 129.112828 \nL 273.450175 128.849436 \nL 272.601846 128.734427 \nL 271.642265 128.768262 \nL 270.583973 128.948872 \nL 269.440984 129.27184 \nL 266.962292 130.317069 \nL 264.334677 131.832586 \nL 261.688174 133.729243 \nL 259.144606 135.91015 \nL 256.810454 138.278687 \nL 254.772714 140.743733 \nL 253.097602 143.222241 \nL 251.831554 145.639743 \nL 251.003615 147.929446 \nL 250.628503 150.03072 \nL 250.612185 150.992987 \nL 250.709606 151.887305 \nL 250.919831 152.707078 \nL 251.241482 153.445796 \nL 251.672774 154.09706 \nL 252.211527 154.654513 \nL 252.855159 155.111901 \nL 253.600668 155.463062 \nL 254.444599 155.701963 \nL 255.382998 155.822766 \nL 256.411342 155.819907 \nL 257.524472 155.688186 \nL 258.716494 155.422904 \nL 259.980696 155.020013 \nL 261.309445 154.476295 \nL 264.124858 152.958956 \nL 267.079701 150.870286 \nL 270.070888 148.238442 \nL 272.974563 145.12883 \nL 275.648136 141.650952 \nL 276.85027 139.82101 \nL 277.936011 137.961216 \nL 278.885568 136.097781 \nL 279.679863 134.258853 \nL 280.301092 132.473876 \nL 280.733294 130.772822 \nL 280.962949 129.185305 \nL 280.979525 127.73961 \nL 280.775992 126.46176 \nL 280.349242 125.374587 \nL 279.700366 124.496949 \nL 278.834802 123.843064 \nL 277.762316 123.42214 \nL 276.496791 123.238169 \nL 275.055887 123.290036 \nL 273.460533 123.571817 \nL 271.73428 124.07331 \nL 269.902621 124.780704 \nL 267.992217 125.677354 \nL 266.030175 126.744572 \nL 264.043322 127.962411 \nL 260.097434 130.768066 \nL 256.342109 133.934148 \nL 252.930845 137.314616 \nL 249.978395 140.784095 \nL 247.56204 144.238596 \nL 245.726806 147.592718 \nL 245.03411 149.209424 \nL 244.49262 150.775114 \nL 244.102126 152.2823 \nL 243.861734 153.723774 \nL 243.770037 155.092533 \nL 243.825269 156.381649 \nL 244.025416 157.584162 \nL 244.368306 158.693018 \nL 244.851672 159.700991 \nL 245.473178 160.600611 \nL 246.230432 161.384132 \nL 247.120962 162.043497 \nL 248.142156 162.570341 \nL 249.291197 162.955975 \nL 250.56496 163.191438 \nL 251.959883 163.267566 \nL 253.471813 163.175091 \nL 255.095836 162.904772 \nL 256.826078 162.447631 \nL 258.655485 161.795168 \nL 260.575583 160.939714 \nL 262.576244 159.874785 \nL 264.645428 158.595582 \nL 266.76895 157.099518 \nL 268.930241 155.386789 \nL 271.110177 153.461062 \nL 273.286921 151.330124 \nL 275.435898 149.006578 \nL 277.529825 146.50843 \nL 279.538887 143.8596 \nL 281.431078 141.090239 \nL 283.172723 138.236769 \nL 284.729148 135.341635 \nL 286.065616 132.452602 \nL 287.148377 129.621665 \nL 287.945902 126.903524 \nL 288.430212 124.35362 \nL 288.57824 122.025921 \nL 288.373085 119.970549 \nL 287.805176 118.231405 \nL 286.873074 116.84407 \nL 285.584013 115.83414 \nL 283.953946 115.216183 \nL 282.00719 114.993416 \nL 279.775616 115.158061 \nL 277.297448 115.69247 \nL 274.615746 116.570705 \nL 271.776773 117.76053 \nL 268.828209 119.225533 \nL 265.81749 120.927191 \nL 262.790309 122.8267 \nL 259.789341 124.886531 \nL 256.85325 127.071565 \nL 254.016048 129.349857 \nL 251.306719 131.693044 \nL 248.749122 134.076456 \nL 246.362127 136.478989 \nL 244.159921 138.882842 \nL 242.152447 141.273138 \nL 240.345921 143.637506 \nL 238.743383 145.965673 \nL 237.345272 148.249037 \nL 236.149958 150.480321 \nL 235.154257 152.653246 \nL 234.353892 154.762237 \nL 233.743893 156.80219 \nL 233.318943 158.768252 \nL 233.073668 160.655668 \nL 233.002877 162.459621 \nL 233.101735 164.175099 \nL 233.36591 165.796758 \nL 233.791659 167.318836 \nL 234.375893 168.735036 \nL 235.116192 170.038432 \nL 236.010802 171.221364 \nL 237.058588 172.275341 \nL 238.25897 173.19095 \nL 239.611836 173.957792 \nL 241.117404 174.564372 \nL 242.776069 174.998069 \nL 244.588225 175.245096 \nL 246.554028 175.290496 \nL 248.673133 175.118183 \nL 250.94438 174.711096 \nL 253.365432 174.051357 \nL 255.932363 173.1206 \nL 258.639186 171.900429 \nL 261.477332 170.373024 \nL 264.435071 168.521945 \nL 267.49692 166.333158 \nL 270.642989 163.796299 \nL 273.848384 160.906177 \nL 277.082624 157.664485 \nL 280.30916 154.081683 \nL 283.485112 150.178925 \nL 286.561201 145.989925 \nL 289.482059 141.562493 \nL 292.186963 136.959523 \nL 294.611113 132.25916 \nL 296.687456 127.553784 \nL 298.349127 122.947648 \nL 299.532418 118.553021 \nL 300.180187 114.484859 \nL 300.245413 110.85442 \nL 299.694671 107.762201 \nL 298.511153 105.291105 \nL 296.696828 103.500631 \nL 294.273489 102.422879 \nL 291.282462 102.060944 \nL 287.782868 102.390065 \nL 283.848691 103.361089 \nL 279.564796 104.905922 \nL 275.022433 106.944011 \nL 270.314593 109.388999 \nL 265.531724 112.154718 \nL 260.758044 115.160104 \nL 256.068786 118.332535 \nL 251.528359 121.609746 \nL 247.189445 124.940508 \nL 243.092905 128.28423 \nL 239.268328 131.609955 \nL 235.735022 134.894978 \nL 232.503307 138.12336 \nL 229.575925 141.284448 \nL 226.949489 144.371594 \nL 224.615855 147.381065 \nL 222.563373 150.31114 \nL 220.777998 153.161428 \nL 219.244228 155.932371 \nL 217.94589 158.624864 \nL 216.866768 161.239987 \nL 215.991104 163.778862 \nL 215.303963 166.242504 \nL 214.791516 168.631754 \nL 214.441225 170.947241 \nL 214.241971 173.18935 \nL 214.18411 175.358156 \nL 214.259515 177.453439 \nL 214.461564 179.474636 \nL 214.785114 181.420803 \nL 215.226472 183.290578 \nL 215.783338 185.082116 \nL 216.454757 186.793015 \nL 217.241064 188.420273 \nL 218.143836 189.960153 \nL 219.165835 191.408095 \nL 220.310965 192.758575 \nL 221.584215 194.004968 \nL 222.991613 195.13937 \nL 224.540172 196.152398 \nL 226.237826 197.032977 \nL 228.093351 197.768087 \nL 230.116274 198.3425 \nL 232.316744 198.738481 \nL 234.705377 198.935476 \nL 237.293027 198.909811 \nL 240.090523 198.634369 \nL 243.108294 198.078346 \nL 246.355898 197.207047 \nL 249.84143 195.981821 \nL 253.570766 194.360205 \nL 257.54662 192.296336 \nL 261.767398 189.741786 \nL 266.225822 186.646938 \nL 270.907304 182.9631 \nL 275.788096 178.645485 \nL 280.833226 173.657256 \nL 285.994339 167.974737 \nL 291.207553 161.593786 \nL 296.391574 154.537164 \nL 301.446387 146.862382 \nL 306.252869 138.669223 \nL 310.673911 130.105662 \nL 314.557473 121.370487 \nL 317.742009 112.710792 \nL 320.064559 104.412632 \nL 321.371334 96.783879 \nL 321.530182 90.129775 \nL 320.443706 84.723549 \nL 318.061275 80.776395 \nL 314.387933 78.412453 \nL 309.488306 77.654155 \nL 303.484354 78.421627 \nL 296.546866 80.5466 \nL 288.881795 83.797609 \nL 280.713617 87.911059 \nL 272.268226 92.621481 \nL 263.757768 97.686128 \nL 255.369126 102.900902 \nL 247.256733 108.107354 \nL 232.302147 118.082724 \nL 219.448256 127.141098 \nL 213.859852 131.292458 \nL 208.817023 135.202305 \nL 204.292695 138.886671 \nL 200.25107 142.363911 \nL 196.650881 145.652482 \nL 193.447962 148.769626 \nL 190.597216 151.73065 \nL 185.775417 157.234423 \nL 181.850822 162.242114 \nL 172.731391 174.638823 \nL 169.873782 177.902665 \nL 168.387047 179.358597 \nL 166.839773 180.689446 \nL 165.216972 181.887789 \nL 163.504631 182.944795 \nL 161.689593 183.850074 \nL 159.759485 184.591574 \nL 157.702679 185.15541 \nL 155.508313 185.525743 \nL 153.166374 185.684653 \nL 150.667827 185.612031 \nL 148.004847 185.285557 \nL 145.171106 184.680713 \nL 142.162188 183.770933 \nL 138.976072 182.527914 \nL 135.613765 180.922109 \nL 132.080034 178.923539 \nL 128.384278 176.50288 \nL 124.541487 173.633029 \nL 120.573325 170.291093 \nL 116.509273 166.460922 \nL 112.387715 162.136194 \nL 108.256996 157.323885 \nL 104.176179 152.048147 \nL 100.215479 146.354149 \nL 96.456028 140.311534 \nL 92.988911 134.016905 \nL 89.913148 127.594596 \nL 87.33247 121.195043 \nL 85.35091 114.99008 \nL 84.067172 109.164837 \nL 83.568167 103.906408 \nL 83.922162 99.390211 \nL 85.172294 95.765337 \nL 87.331317 93.141304 \nL 90.378342 91.578022 \nL 94.258295 91.081107 \nL 98.884318 91.60333 \nL 104.143005 93.051901 \nL 109.901789 95.300333 \nL 116.017654 98.202598 \nL 122.345953 101.607259 \nL 128.748472 105.36953 \nL 135.099887 109.360169 \nL 141.292264 113.470606 \nL 147.23755 117.614776 \nL 152.868225 121.728328 \nL 158.136512 125.766161 \nL 163.012576 129.699095 \nL 167.482116 133.510374 \nL 171.543698 137.192365 \nL 175.206087 140.743759 \nL 178.485769 144.167336 \nL 181.404739 147.468289 \nL 183.988623 150.652991 \nL 186.265135 153.728216 \nL 188.262837 156.700601 \nL 190.010198 159.576358 \nL 191.534886 162.361139 \nL 192.863273 165.059988 \nL 195.028315 170.217195 \nL 196.681068 175.077532 \nL 197.967207 179.664002 \nL 199.459934 186.069257 \nL 202.285685 199.026181 \nL 203.175372 202.258018 \nL 204.182656 205.290763 \nL 205.349527 208.125184 \nL 206.720737 210.757922 \nL 208.34622 213.179972 \nL 210.283437 215.374499 \nL 211.38953 216.37829 \nL 212.599697 217.313684 \nL 213.924274 218.174742 \nL 215.374502 218.954166 \nL 216.962599 219.643051 \nL 218.701813 220.230573 \nL 220.606468 220.703631 \nL 222.692006 221.046427 \nL 224.974985 221.239985 \nL 227.473048 221.261586 \nL 230.204846 221.084151 \nL 233.189879 220.675519 \nL 236.448258 219.997718 \nL 240.000328 219.006164 \nL 243.866121 217.648902 \nL 248.064616 215.86593 \nL 252.612697 213.58874 \nL 257.523774 210.740256 \nL 262.805997 207.235368 \nL 268.459929 202.982474 \nL 274.47568 197.886359 \nL 280.829381 191.853015 \nL 287.479017 184.796922 \nL 294.359749 176.651349 \nL 301.378879 167.382046 \nL 308.41096 157.004278 \nL 315.293746 145.602292 \nL 321.82598 133.349158 \nL 327.76843 120.523406 \nL 332.849669 107.517122 \nL 336.778014 94.829236 \nL 339.260596 83.038068 \nL 340.029065 72.750392 \nL 338.869879 64.530062 \nL 335.654846 58.817113 \nL 330.365995 55.855399 \nL 323.108543 55.649022 \nL 314.107497 57.96211 \nL 303.686908 62.364038 \nL 292.235454 68.307464 \nL 280.165378 75.216995 \nL 232.821944 103.558208 \nL 222.451518 109.535911 \nL 204.260011 119.645887 \nL 189.478551 127.533284 \nL 151.13094 147.532707 \nL 147.277165 149.304026 \nL 143.911902 150.550134 \nL 140.845264 151.289201 \nL 139.380582 151.470432 \nL 137.944926 151.526222 \nL 136.529314 151.456502 \nL 135.127359 151.261349 \nL 133.735079 150.94118 \nL 132.350749 150.496974 \nL 130.974738 149.930467 \nL 128.258869 148.442504 \nL 125.627486 146.513901 \nL 123.145716 144.205366 \nL 120.898612 141.60574 \nL 118.984416 138.833137 \nL 117.505812 136.031924 \nL 116.960546 134.67096 \nL 116.559182 133.364484 \nL 116.310821 132.133437 \nL 116.222665 130.998023 \nL 116.299712 129.977115 \nL 116.544464 129.08775 \nL 116.956724 128.344598 \nL 117.533466 127.759548 \nL 118.268821 127.341416 \nL 119.154123 127.095724 \nL 120.178104 127.024677 \nL 121.327114 127.12721 \nL 122.585488 127.399205 \nL 123.935924 127.833804 \nL 126.838279 129.151938 \nL 129.88008 130.98725 \nL 132.909308 133.228678 \nL 135.787566 135.760958 \nL 138.397881 138.473687 \nL 140.648454 141.266501 \nL 142.472799 144.05083 \nL 143.827367 146.749314 \nL 144.687672 149.293772 \nL 144.928989 150.488839 \nL 145.044048 151.622722 \nL 145.033311 152.688374 \nL 144.897711 153.678868 \nL 144.638598 154.587338 \nL 144.257677 155.406949 \nL 143.756977 156.13086 \nL 143.138845 156.752212 \nL 142.405947 157.264104 \nL 141.561307 157.659618 \nL 140.608349 157.931869 \nL 139.550967 158.07404 \nL 138.393608 158.079461 \nL 137.141376 157.94174 \nL 135.800142 157.654895 \nL 134.376675 157.213514 \nL 132.878773 156.613011 \nL 131.31541 155.849827 \nL 129.696861 154.921751 \nL 128.03484 153.828239 \nL 126.342603 152.570761 \nL 124.635049 151.153174 \nL 122.928761 149.582089 \nL 121.242007 147.867232 \nL 119.594659 146.02176 \nL 118.008093 144.062505 \nL 116.504913 142.010112 \nL 115.108679 139.889036 \nL 113.843442 137.727395 \nL 112.733225 135.556572 \nL 111.801411 133.41064 \nL 111.070029 131.32557 \nL 110.55899 129.338207 \nL 110.285318 127.485094 \nL 110.262396 125.801204 \nL 110.49927 124.318611 \nL 111.000087 123.065269 \nL 111.763687 122.063916 \nL 112.783422 121.331223 \nL 114.047172 120.877282 \nL 115.537621 120.705412 \nL 117.232747 120.812362 \nL 119.106527 121.188822 \nL 121.129784 121.820207 \nL 123.27114 122.68766 \nL 125.498028 123.76914 \nL 127.777661 125.040531 \nL 130.077933 126.476686 \nL 132.368235 128.05235 \nL 134.620085 129.74292 \nL 138.907995 133.376891 \nL 142.771225 137.212304 \nL 144.503968 139.161849 \nL 146.088998 141.113054 \nL 147.518338 143.053341 \nL 148.786381 144.97157 \nL 149.889554 146.857863 \nL 150.826008 148.703335 \nL 151.5953 150.499944 \nL 152.198088 152.240245 \nL 152.63586 153.917267 \nL 152.910692 155.524297 \nL 153.025038 157.054783 \nL 152.981559 158.502188 \nL 152.782981 159.859859 \nL 152.431997 161.120961 \nL 151.931187 162.278356 \nL 151.282998 163.324547 \nL 150.489715 164.251601 \nL 149.553504 165.051087 \nL 148.476452 165.71406 \nL 147.260658 166.231016 \nL 145.908339 166.59192 \nL 144.421973 166.786214 \nL 142.804467 166.80291 \nL 141.05936 166.630682 \nL 139.191047 166.258034 \nL 137.205043 165.673554 \nL 135.108269 164.866214 \nL 132.909361 163.825751 \nL 130.619007 162.543187 \nL 128.250278 161.011425 \nL 125.81897 159.225972 \nL 123.343933 157.185739 \nL 120.847339 154.893942 \nL 118.354892 152.359057 \nL 115.895953 149.595772 \nL 113.503498 146.625897 \nL 111.213917 143.479089 \nL 109.066593 140.193309 \nL 107.103224 136.814969 \nL 105.366864 133.398506 \nL 103.900695 130.00541 \nL 102.746536 126.702576 \nL 101.943127 123.560048 \nL 101.524278 120.648125 \nL 101.517029 118.0341 \nL 101.939889 115.778861 \nL 102.801396 113.933619 \nL 104.099094 112.537076 \nL 105.819046 111.613536 \nL 107.936016 111.171865 \nL 110.414284 111.205683 \nL 113.209072 111.69465 \nL 116.268487 112.606583 \nL 119.535742 113.900261 \nL 122.951585 115.528454 \nL 126.456669 117.441076 \nL 129.993668 119.5878 \nL 133.509101 121.920392 \nL 136.954722 124.394313 \nL 140.288446 126.969764 \nL 143.474862 129.612202 \nL 146.485335 132.292381 \nL 149.297798 134.986074 \nL 151.8963 137.673606 \nL 154.270366 140.339225 \nL 156.414285 142.97049 \nL 158.326331 145.557616 \nL 160.008002 148.092935 \nL 161.463286 150.570379 \nL 162.697995 152.985047 \nL 163.719174 155.33288 \nL 164.534579 157.610338 \nL 165.152241 159.814187 \nL 165.580113 161.941322 \nL 165.825781 163.988575 \nL 165.896235 165.952621 \nL 165.797708 167.829843 \nL 165.535558 169.616223 \nL 165.114187 171.307253 \nL 164.537009 172.897834 \nL 163.806431 174.382171 \nL 162.923874 175.753661 \nL 161.889824 177.004782 \nL 160.703882 178.126989 \nL 159.364859 179.110582 \nL 157.870881 179.944584 \nL 156.219529 180.616603 \nL 154.407995 181.112743 \nL 152.433282 181.417484 \nL 150.292446 181.513609 \nL 147.982861 181.38216 \nL 145.502581 181.002492 \nL 142.850721 180.352368 \nL 140.02793 179.408183 \nL 137.036948 178.145362 \nL 133.883236 176.538953 \nL 130.575695 174.564449 \nL 127.127458 172.198924 \nL 123.556785 169.422508 \nL 119.887939 166.220268 \nL 116.152124 162.584433 \nL 112.388329 158.517012 \nL 108.644014 154.032667 \nL 104.97557 149.16171 \nL 101.448338 143.9529 \nL 98.136095 138.475712 \nL 95.119856 132.821599 \nL 92.485796 127.10374 \nL 90.322253 121.454758 \nL 88.715829 116.022051 \nL 87.746656 110.960621 \nL 87.48319 106.423779 \nL 87.976864 102.552396 \nL 89.257312 99.46399 \nL 91.328597 97.243045 \nL 94.167205 95.934203 \nL 97.722054 95.539404 \nL 101.916777 96.019419 \nL 106.654045 97.299668 \nL 111.821459 99.279091 \nL 117.298336 101.840748 \nL 122.962618 104.862319 \nL 128.69713 108.225333 \nL 134.394744 111.822074 \nL 139.962063 115.559889 \nL 145.32158 119.36311 \nL 150.412441 123.172942 \nL 155.190063 126.946004 \nL 159.624894 130.652087 \nL 163.700638 134.271626 \nL 167.412197 137.793226 \nL 170.763559 141.21146 \nL 173.765771 144.525033 \nL 176.435075 147.735357 \nL 178.791302 150.845455 \nL 180.856501 153.859206 \nL 182.653829 156.780813 \nL 184.206662 159.61449 \nL 185.537917 162.364236 \nL 186.669559 165.033778 \nL 187.622238 167.626486 \nL 188.415069 170.145415 \nL 189.589226 174.972574 \nL 190.310865 179.533965 \nL 190.672052 183.844866 \nL 190.740465 187.917903 \nL 190.562522 191.763579 \nL 190.166495 195.390448 \nL 189.565223 198.805023 \nL 188.758206 202.011416 \nL 187.733029 205.010721 \nL 186.466111 207.800037 \nL 184.922845 210.371029 \nL 183.057163 212.707855 \nL 181.985671 213.780731 \nL 180.810629 214.784148 \nL 179.522585 215.712466 \nL 178.111146 216.558764 \nL 176.56492 217.314586 \nL 174.871479 217.969675 \nL 173.017318 218.511623 \nL 170.98784 218.925488 \nL 168.767352 219.193339 \nL 166.339104 219.293741 \nL 163.685359 219.201172 \nL 160.787545 218.885369 \nL 157.626485 218.310633 \nL 154.18273 217.435096 \nL 150.437061 216.210011 \nL 146.37119 214.579102 \nL 141.968687 212.478127 \nL 137.216247 209.834752 \nL 132.10533 206.568991 \nL 126.634261 202.594483 \nL 120.810874 197.821 \nL 114.655701 192.15862 \nL 108.205821 185.524118 \nL 101.519152 177.850058 \nL 94.679154 169.096979 \nL 87.799453 159.268665 \nL 81.027874 148.429927 \nL 74.548907 136.725217 \nL 68.583482 124.395088 \nL 63.384652 111.785959 \nL 59.227797 99.347679 \nL 56.394367 87.613169 \nL 55.149285 77.156763 \nL 55.713371 68.532341 \nL 58.234412 62.199444 \nL 62.761785 58.452013 \nL 69.230674 57.368422 \nL 77.460355 58.798068 \nL 87.168791 62.390316 \nL 98.001269 67.6586 \nL 109.567539 74.061311 \nL 121.47998 81.078404 \nL 156.062319 101.926355 \nL 176.040145 113.581436 \nL 192.726845 122.967654 \nL 228.633002 142.891963 \nL 241.332978 150.129602 \nL 245.073055 151.976104 \nL 248.444445 153.276402 \nL 250.048405 153.722693 \nL 251.620917 154.031833 \nL 253.175264 154.20224 \nL 254.721816 154.232083 \nL 256.268209 154.119526 \nL 257.819512 153.862924 \nL 259.378355 153.461079 \nL 260.945047 152.913464 \nL 262.51766 152.220485 \nL 264.092139 151.383736 \nL 265.662349 150.406287 \nL 267.220185 149.292929 \nL 268.755658 148.050463 \nL 270.257026 146.687916 \nL 273.102603 143.651028 \nL 275.634714 140.30539 \nL 276.74105 138.56669 \nL 277.717752 136.815454 \nL 278.547807 135.07763 \nL 279.215101 133.380482 \nL 279.704954 131.751914 \nL 280.00468 130.219718 \nL 280.104118 128.810751 \nL 279.996119 127.55004 \nL 279.676944 126.45999 \nL 279.146607 125.559597 \nL 278.40903 124.863836 \nL 277.472083 124.383225 \nL 276.347481 124.123577 \nL 275.050511 124.08599 \nL 273.599629 124.267017 \nL 272.015937 124.659084 \nL 270.322585 125.251018 \nL 268.544103 126.028702 \nL 266.705719 126.975771 \nL 262.949787 129.305572 \nL 259.247221 132.090302 \nL 255.766804 135.182742 \nL 252.644597 138.449571 \nL 249.981022 141.776112 \nL 247.842866 145.066317 \nL 246.268436 148.239991 \nL 245.698405 149.761413 \nL 245.274096 151.22874 \nL 244.995204 152.634584 \nL 244.860821 153.971789 \nL 244.869586 155.233325 \nL 245.019809 156.412199 \nL 245.309549 157.50138 \nL 245.73669 158.49373 \nL 246.298979 159.38192 \nL 246.994044 160.15843 \nL 247.819371 160.815489 \nL 248.772272 161.34509 \nL 249.84982 161.73897 \nL 251.048758 161.988669 \nL 252.365394 162.085603 \nL 253.795454 162.021125 \nL 255.333935 161.786709 \nL 256.974925 161.374091 \nL 258.711403 160.775536 \nL 260.535039 159.984126 \nL 262.435958 158.994091 \nL 264.402542 157.80127 \nL 266.421188 156.403562 \nL 268.476125 154.801458 \nL 270.549268 152.998646 \nL 272.620075 151.002578 \nL 274.665526 148.825083 \nL 276.660166 146.482892 \nL 278.576265 143.998061 \nL 280.384145 141.398265 \nL 282.052618 138.716826 \nL 283.549618 135.99249 \nL 284.843001 133.268826 \nL 285.901505 130.593285 \nL 286.695823 128.015877 \nL 287.199802 125.587474 \nL 287.391627 123.357892 \nL 287.254989 121.373772 \nL 286.780081 119.67653 \nL 285.964418 118.300419 \nL 284.813307 117.271035 \nL 283.339996 116.604216 \nL 281.565411 116.305645 \nL 279.517511 116.371016 \nL 277.230296 116.786851 \nL 274.74252 117.531789 \nL 272.096245 118.578244 \nL 269.335289 119.894217 \nL 266.503702 121.445125 \nL 263.644378 123.195527 \nL 260.797845 125.110532 \nL 258.001297 127.156977 \nL 255.287916 129.304194 \nL 252.686435 131.524526 \nL 250.220974 133.793526 \nL 247.911068 136.089943 \nL 245.771877 138.39556 \nL 243.814544 140.694896 \nL 242.046617 142.974881 \nL 240.472532 145.224479 \nL 239.094117 147.434327 \nL 237.911095 149.596419 \nL 236.921547 151.70376 \nL 236.12235 153.750128 \nL 235.509564 155.729806 \nL 235.078761 157.637408 \nL 234.825319 159.467681 \nL 234.744659 161.215351 \nL 234.832416 162.874997 \nL 235.084599 164.440925 \nL 235.497678 165.907052 \nL 236.068642 167.266799 \nL 236.795038 168.513009 \nL 237.674964 169.637855 \nL 238.70702 170.632723 \nL 239.890258 171.488177 \nL 241.224076 172.193844 \nL 242.708098 172.738387 \nL 244.342017 173.10947 \nL 246.125409 173.29373 \nL 248.0575 173.276838 \nL 250.136906 173.043571 \nL 252.361318 172.577954 \nL 254.727154 171.863523 \nL 257.229155 170.883665 \nL 259.859939 169.622112 \nL 262.609509 168.06357 \nL 265.464731 166.194552 \nL 268.408784 164.004378 \nL 271.420602 161.48641 \nL 274.474353 158.639441 \nL 277.539 155.469274 \nL 280.577964 151.990375 \nL 283.548973 148.227516 \nL 286.404188 144.217246 \nL 289.090651 140.00904 \nL 291.551152 135.665803 \nL 293.725576 131.263594 \nL 295.552723 126.890275 \nL 296.972661 122.64295 \nL 297.929482 118.624153 \nL 298.374347 114.936894 \nL 298.268577 111.678924 \nL 297.586573 108.936692 \nL 296.318235 106.779689 \nL 294.470539 105.255858 \nL 292.068143 104.388652 \nL 289.152776 104.17625 \nL 285.781449 104.592902 \nL 282.02369 105.592314 \nL 277.957955 107.112418 \nL 273.667675 109.080931 \nL 269.237254 111.420995 \nL 264.74837 114.056158 \nL 260.276915 116.914428 \nL 255.890624 119.931089 \nL 251.647562 123.050284 \nL 247.595373 126.225565 \nL 243.771224 129.419653 \nL 240.202268 132.603607 \nL 236.906526 135.755682 \nL 233.893998 138.860104 \nL 231.167893 141.905842 \nL 228.725905 144.885503 \nL 226.561405 147.794372 \nL 224.664571 150.629666 \nL 223.023371 153.389896 \nL 221.624407 156.074415 \nL 220.453634 158.68307 \nL 219.496935 161.215938 \nL 218.740577 163.673163 \nL 218.171575 166.054823 \nL 217.77794 168.360822 \nL 217.548877 170.590864 \nL 217.474897 172.744344 \nL 217.547904 174.820344 \nL 217.76122 176.81756 \nL 218.109597 178.734258 \nL 218.589194 180.568199 \nL 219.197554 182.316593 \nL 219.933559 183.975992 \nL 220.797379 185.542226 \nL 221.790419 187.010259 \nL 222.915263 188.374082 \nL 224.175609 189.626573 \nL 225.576202 190.759324 \nL 227.122754 191.76246 \nL 228.821863 192.624436 \nL 230.680903 193.331813 \nL 232.707894 193.869026 \nL 234.911348 194.218123 \nL 237.300068 194.358537 \nL 239.882888 194.26682 \nL 242.668362 193.916459 \nL 245.66434 193.277721 \nL 248.877474 192.317615 \nL 252.312577 191.000004 \nL 255.971849 189.285947 \nL 259.853934 187.134365 \nL 263.952794 184.503082 \nL 268.256396 181.350496 \nL 272.745219 177.637818 \nL 277.390585 173.332219 \nL 282.152906 168.410765 \nL 286.979936 162.865321 \nL 291.805163 156.708243 \nL 296.546601 149.978564 \nL 301.106245 142.748141 \nL 305.370577 135.126918 \nL 309.212443 127.266139 \nL 312.494741 119.358174 \nL 315.076087 111.631627 \nL 316.818574 104.340674 \nL 317.597234 97.748555 \nL 317.310565 92.1061 \nL 315.890893 87.627959 \nL 313.313187 84.469994 \nL 309.600764 82.712232 \nL 304.826653 82.350825 \nL 299.110028 83.301102 \nL 292.607927 85.411013 \nL 285.503379 88.482247 \nL 277.991698 92.294522 \nL 270.266868 96.628611 \nL 262.509737 101.284605 \nL 254.879136 106.093603 \nL 247.506467 110.922872 \nL 240.493471 115.67557 \nL 233.912769 120.286854 \nL 227.810255 124.718124 \nL 222.208695 128.950752 \nL 217.111795 132.980263 \nL 212.508293 136.81142 \nL 208.375758 140.454429 \nL 204.683906 143.922163 \nL 201.397378 147.228256 \nL 198.477974 150.385923 \nL 195.886397 153.407256 \nL 193.583544 156.302892 \nL 189.693932 161.751913 \nL 186.528862 166.788077 \nL 182.61773 173.639615 \nL 179.131828 179.687829 \nL 176.786342 183.269049 \nL 174.275854 186.467902 \nL 172.92384 187.913699 \nL 171.489903 189.249517 \nL 169.961469 190.468139 \nL 168.326204 191.560929 \nL 166.571919 192.517631 \nL 164.686512 193.32618 \nL 162.657951 193.972465 \nL 160.474292 194.44009 \nL 158.12375 194.710111 \nL 155.594827 194.760803 \nL 152.876521 194.567421 \nL 149.958613 194.101996 \nL 146.832058 193.333238 \nL 143.489496 192.226548 \nL 139.925913 190.744185 \nL 136.13945 188.845741 \nL 132.1324 186.488955 \nL 127.912411 183.630975 \nL 123.493872 180.230297 \nL 118.899476 176.249368 \nL 114.161973 171.658099 \nL 109.325949 166.438295 \nL 104.449586 160.588969 \nL 99.606139 154.132452 \nL 94.884977 147.120762 \nL 90.391748 139.641677 \nL 86.247374 131.823472 \nL 82.585421 123.836996 \nL 79.547563 115.89369 \nL 77.276908 108.238319 \nL 75.909314 101.135532 \nL 75.563159 94.850681 \nL 76.328489 89.626426 \nL 78.256879 85.658373 \nL 81.35357 83.07374 \nL 85.573362 81.917477 \nL 90.821349 82.148737 \nL 96.958696 83.648843 \nL 103.812873 86.239006 \nL 111.190843 89.704001 \nL 118.893288 93.817076 \nL 126.727876 98.361746 \nL 134.520138 103.147649 \nL 142.120935 108.019364 \nL 149.410495 112.858997 \nL 156.299299 117.583903 \nL 162.726548 122.141601 \nL 168.657068 126.503441 \nL 174.077324 130.658282 \nL 178.991204 134.606925 \nL 183.415947 138.357581 \nL 187.37849 141.922496 \nL 190.912336 145.315583 \nL 194.054996 148.550824 \nL 196.845959 151.641315 \nL 199.325144 154.598783 \nL 201.531764 157.433362 \nL 205.27615 162.76637 \nL 208.354954 167.690879 \nL 215.789296 180.239334 \nL 218.230162 183.683437 \nL 219.519161 185.257211 \nL 220.872703 186.726223 \nL 222.304111 188.084685 \nL 223.826251 189.32556 \nL 225.451661 190.44041 \nL 227.192651 191.419229 \nL 229.061364 192.250244 \nL 231.069808 192.91968 \nL 233.229847 193.411549 \nL 235.553133 193.707405 \nL 238.050979 193.786103 \nL 240.734178 193.623585 \nL 243.612713 193.192697 \nL 246.695391 192.463092 \nL 249.989344 191.401249 \nL 253.499398 189.970658 \nL 257.227301 188.132271 \nL 261.170751 185.845273 \nL 265.322253 183.068339 \nL 269.667788 179.761455 \nL 274.185318 175.888421 \nL 278.84312 171.420185 \nL 283.598063 166.339055 \nL 288.393967 160.64378 \nL 293.16014 154.355287 \nL 297.810412 147.522777 \nL 302.242941 140.229535 \nL 306.341146 132.597454 \nL 309.976135 124.789188 \nL 313.010974 117.006486 \nL 315.306932 109.483627 \nL 316.731685 102.475026 \nL 317.168997 96.23742 \nL 316.529085 91.007907 \nL 314.758375 86.980745 \nL 311.847291 84.286712 \nL 307.834536 82.97896 \nL 302.806899 83.028588 \nL 296.894249 84.330878 \nL 290.260233 86.721063 \nL 283.089913 89.99624 \nL 275.576268 93.939003 \nL 267.907254 98.338719 \nL 260.255073 103.007495 \nL 252.768482 107.789619 \nL 245.568431 112.564987 \nL 238.746749 117.247651 \nL 232.367225 121.781395 \nL 226.468368 126.133916 \nL 221.067071 130.290808 \nL 216.162646 134.25013 \nL 211.74076 138.017925 \nL 207.777033 141.604778 \nL 204.240142 145.023377 \nL 201.094404 148.286845 \nL 198.301829 151.407741 \nL 195.82371 154.397452 \nL 193.621803 157.265942 \nL 189.900702 162.67176 \nL 186.867123 167.676558 \nL 183.102841 174.498405 \nL 179.725646 180.535207 \nL 177.441194 184.11921 \nL 174.987597 187.330224 \nL 173.663459 188.786079 \nL 172.257412 190.134904 \nL 170.757099 191.369758 \nL 169.150335 192.482299 \nL 167.425019 193.462603 \nL 165.569073 194.298961 \nL 163.570414 194.977639 \nL 161.41696 195.48263 \nL 159.0967 195.795386 \nL 156.597804 195.894558 \nL 153.908823 195.755723 \nL 151.018941 195.35118 \nL 147.91836 194.649773 \nL 144.598781 193.616849 \nL 141.054033 192.214363 \nL 137.28087 190.401245 \nL 133.279932 188.134092 \nL 129.05694 185.368322 \nL 124.62407 182.059915 \nL 120.00155 178.16793 \nL 115.219423 173.657826 \nL 110.319432 168.505827 \nL 105.3569 162.704241 \nL 100.402413 156.267645 \nL 95.543111 149.239642 \nL 90.883201 141.699474 \nL 86.543339 133.767605 \nL 82.658434 125.608936 \nL 79.373519 117.432124 \nL 76.837374 109.48361 \nL 75.193976 102.035211 \nL 74.57208 95.365296 \nL 75.073837 89.734891 \nL 76.763747 85.361691 \nL 79.659604 82.396216 \nL 83.727076 80.904756 \nL 88.879189 80.863024 \nL 94.981223 82.161927 \nL 101.860575 84.624581 \nL 109.320194 88.03062 \nL 117.153501 92.142862 \nL 125.158774 96.731442 \nL 133.151126 101.59189 \nL 140.971091 106.555833 \nL 148.489441 111.494604 \nL 155.608609 116.317456 \nL 162.261414 120.966421 \nL 168.407954 125.409579 \nL 174.031502 129.634268 \nL 179.134065 133.640972 \nL 183.732062 137.438398 \nL 187.852426 141.039734 \nL 191.529253 144.459985 \nL 194.801058 147.714279 \nL 197.708598 150.816777 \nL 200.293212 153.780133 \nL 202.595599 156.61524 \nL 206.508448 161.935475 \nL 209.734273 166.831 \nL 217.573678 179.195671 \nL 220.161064 182.538406 \nL 221.528384 184.051532 \nL 222.964213 185.452219 \nL 224.482211 186.733762 \nL 226.09549 187.888094 \nL 227.816735 188.905657 \nL 229.658279 189.775195 \nL 231.63215 190.483572 \nL 233.750072 191.015568 \nL 236.023419 191.353662 \nL 238.46311 191.477836 \nL 241.07943 191.36538 \nL 243.881779 190.990762 \nL 246.878322 190.325551 \nL 250.075536 189.33846 \nL 253.477617 187.995563 \nL 257.085764 186.260725 \nL 260.897291 184.096395 \nL 264.90458 181.464738 \nL 269.093881 178.32935 \nL 273.44392 174.657562 \nL 277.924417 170.423461 \nL 282.494579 165.611697 \nL 287.101584 160.222023 \nL 291.679336 154.274411 \nL 296.147618 147.814455 \nL 300.411942 140.918463 \nL 304.364416 133.697502 \nL 307.885923 126.299319 \nL 310.849896 118.907041 \nL 313.127868 111.73359 \nL 314.596706 105.011136 \nL 315.147204 98.975772 \nL 314.693308 93.84846 \nL 313.180977 89.814558 \nL 310.595385 87.005134 \nL 306.965256 85.483414 \nL 302.363346 85.239253 \nL 296.902703 86.192799 \nL 290.729021 88.206669 \nL 284.01008 91.104186 \nL 276.923761 94.690086 \nL 269.646261 98.769888 \nL 262.34188 103.165384 \nL 255.155337 107.724673 \nL 248.206995 112.326784 \nL 241.590848 116.881734 \nL 235.374836 121.327547 \nL 229.602843 125.625547 \nL 224.297739 129.755114 \nL 219.464915 133.708735 \nL 215.095875 137.487728 \nL 211.171612 141.098885 \nL 207.665611 144.55194 \nL 204.54638 147.857829 \nL 201.779524 151.027528 \nL 199.329377 154.071361 \nL 197.160244 156.998636 \nL 195.237305 159.817481 \nL 191.998687 165.15659 \nL 189.371233 170.131545 \nL 186.131712 176.970071 \nL 183.246272 183.100284 \nL 181.302269 186.797355 \nL 179.216539 190.172283 \nL 176.893638 193.204423 \nL 175.614847 194.581934 \nL 174.242866 195.859728 \nL 172.766375 197.030781 \nL 171.173861 198.086643 \nL 169.453547 199.017216 \nL 167.593342 199.810511 \nL 165.580824 200.45238 \nL 163.403267 200.926204 \nL 161.047694 201.212573 \nL 158.501009 201.288934 \nL 155.750169 201.129258 \nL 152.782466 200.703693 \nL 149.585897 199.978276 \nL 146.149678 198.914751 \nL 142.464894 197.47052 \nL 138.525341 195.598847 \nL 134.328597 193.249418 \nL 129.877312 190.36938 \nL 125.180786 186.905062 \nL 120.256811 182.804564 \nL 115.133785 178.021384 \nL 109.853002 172.519314 \nL 104.471075 166.278636 \nL 99.062222 159.303665 \nL 93.720217 151.631231 \nL 88.559543 143.339462 \nL 83.715285 134.555739 \nL 79.341195 125.462178 \nL 75.605357 116.296539 \nL 72.683013 107.346452 \nL 70.746441 98.935266 \nL 69.952191 91.398944 \nL 70.426719 85.055614 \nL 72.252153 80.171441 \nL 75.454296 76.928822 \nL 79.995257 75.403443 \nL 85.772466 75.5558 \nL 92.624899 77.239715 \nL 100.345877 80.225835 \nL 108.700398 84.234905 \nL 117.44431 88.973188 \nL 126.342285 94.163421 \nL 135.182344 99.566566 \nL 152.011283 110.305493 \nL 166.956145 120.263163 \nL 179.60047 129.123397 \nL 185.047062 133.142057 \nL 189.939332 136.908108 \nL 194.313482 140.442703 \nL 198.212379 143.767304 \nL 201.68257 146.902054 \nL 204.772003 149.864857 \nL 209.997795 155.333051 \nL 214.249055 160.262886 \nL 224.091579 172.218258 \nL 227.154258 175.26209 \nL 228.74201 176.591713 \nL 230.389991 177.784227 \nL 232.113378 178.831243 \nL 233.926095 179.722923 \nL 235.840909 180.447864 \nL 237.869485 180.993037 \nL 240.022378 181.343671 \nL 242.308979 181.483213 \nL 244.737398 181.393291 \nL 247.314259 181.053746 \nL 250.044436 180.442741 \nL 252.930694 179.536986 \nL 255.973226 178.312126 \nL 259.16912 176.743305 \nL 262.511708 174.805979 \nL 265.98982 172.477038 \nL 269.586972 169.736261 \nL 273.280484 166.568161 \nL 277.040616 162.964195 \nL 280.829715 158.925392 \nL 284.601517 154.465215 \nL 288.300708 149.612587 \nL 291.862851 144.414747 \nL 295.214849 138.939627 \nL 298.276122 133.277225 \nL 300.960613 127.53953 \nL 303.179714 121.858399 \nL 304.846148 116.381109 \nL 305.878659 111.263345 \nL 306.207252 106.659957 \nL 305.778591 102.7142 \nL 304.560889 99.546687 \nL 302.547831 97.245462 \nL 299.760769 95.858858 \nL 296.248892 95.392203 \nL 292.0871 95.809042 \nL 287.371822 97.036702 \nL 282.215159 98.975057 \nL 276.738092 101.50715 \nL 271.063514 104.509881 \nL 265.30981 107.863415 \nL 259.585596 111.45837 \nL 253.985877 115.200355 \nL 248.589758 119.012042 \nL 243.459593 122.833201 \nL 238.641286 126.619266 \nL 234.165513 130.339117 \nL 230.049467 133.972544 \nL 226.298923 137.507701 \nL 222.910373 140.938903 \nL 219.873084 144.264721 \nL 217.170976 147.486508 \nL 214.784263 150.607303 \nL 212.690846 153.631035 \nL 210.867451 156.561978 \nL 209.290533 159.404412 \nL 207.936965 162.162429 \nL 206.78456 164.839817 \nL 205.812422 167.440022 \nL 205.001196 169.96615 \nL 203.792455 174.807068 \nL 203.037595 179.381676 \nL 202.642748 183.705588 \nL 202.53853 187.791781 \nL 202.676883 191.651157 \nL 203.027889 195.292727 \nL 203.577 198.723615 \nL 204.322862 201.948742 \nL 205.275816 204.970317 \nL 206.457069 207.786962 \nL 207.898474 210.39249 \nL 209.642897 212.774043 \nL 210.645346 213.874363 \nL 211.745062 214.90947 \nL 212.950945 215.87452 \nL 214.272811 216.763532 \nL 215.721441 217.569171 \nL 217.308633 218.282496 \nL 219.047241 218.892653 \nL 220.951219 219.386526 \nL 223.035634 219.748329 \nL 225.316656 219.959114 \nL 227.811524 219.996246 \nL 230.538452 219.832775 \nL 233.516459 219.436763 \nL 236.765125 218.770561 \nL 240.304198 217.790052 \nL 244.153058 216.443934 \nL 248.329951 214.673088 \nL 252.850959 212.410186 \nL 257.728626 209.57967 \nL 262.970191 206.098375 \nL 268.575306 201.877112 \nL 274.533186 196.823579 \nL 280.819205 190.847178 \nL 287.390816 183.866199 \nL 294.183043 175.81791 \nL 301.103637 166.671912 \nL 308.028409 156.44657 \nL 314.797441 145.227695 \nL 321.21313 133.187457 \nL 327.041408 120.599926 \nL 332.017536 107.848302 \nL 335.857878 95.417852 \nL 338.278373 83.869056 \nL 339.019393 73.788524 \nL 337.874841 65.720636 \nL 334.721318 60.090571 \nL 329.541855 57.135495 \nL 322.438277 56.863083 \nL 313.62795 59.050874 \nL 303.424087 63.288668 \nL 292.202932 69.052181 \nL 280.364536 75.787196 \nL 256.33588 90.221952 \nL 233.795079 103.717237 \nL 214.147698 115.040423 \nL 197.858985 124.066358 \nL 160.062188 144.68607 \nL 152.760196 148.708135 \nL 148.859455 150.652217 \nL 145.418042 152.053338 \nL 143.806894 152.554414 \nL 142.242883 152.92262 \nL 140.710794 153.157224 \nL 139.198481 153.257153 \nL 137.69664 153.221183 \nL 136.198624 153.048189 \nL 134.700279 152.737373 \nL 133.199806 152.288444 \nL 131.697635 151.701913 \nL 130.196321 150.97927 \nL 128.700443 150.123271 \nL 127.216508 149.138146 \nL 124.319438 146.806337 \nL 121.591111 144.055868 \nL 119.139117 140.994539 \nL 117.084855 137.767034 \nL 116.246012 136.145239 \nL 115.552809 134.550191 \nL 115.019068 133.007085 \nL 114.657005 131.541307 \nL 114.476766 130.177688 \nL 114.485956 128.939775 \nL 114.689261 127.849104 \nL 115.088153 126.9245 \nL 115.680644 126.181468 \nL 116.461215 125.63175 \nL 117.420841 125.283015 \nL 118.547187 125.138724 \nL 119.824852 125.198215 \nL 121.235819 125.456927 \nL 122.759934 125.906792 \nL 124.375443 126.536756 \nL 126.059605 127.333332 \nL 129.541425 129.363923 \nL 133.024996 131.864957 \nL 136.346903 134.699655 \nL 139.370641 137.739683 \nL 141.99112 140.871362 \nL 144.134429 143.997253 \nL 145.754279 147.034686 \nL 146.826701 149.912707 \nL 147.154812 151.272088 \nL 147.344279 152.568506 \nL 147.395906 153.794813 \nL 147.310935 154.943979 \nL 147.090955 156.009001 \nL 146.737825 156.982833 \nL 146.253625 157.858336 \nL 145.640642 158.628251 \nL 144.901366 159.285148 \nL 144.038516 159.821446 \nL 143.05508 160.229409 \nL 141.954402 160.501166 \nL 140.740256 160.628803 \nL 139.416986 160.604415 \nL 137.989618 160.420265 \nL 136.464016 160.068925 \nL 134.847067 159.543502 \nL 133.146841 158.837896 \nL 131.372803 157.947101 \nL 129.535965 156.867587 \nL 127.649112 155.597693 \nL 125.726932 154.138102 \nL 123.786182 152.492353 \nL 121.845758 150.667304 \nL 119.926724 148.673679 \nL 118.052284 146.526496 \nL 116.247612 144.245421 \nL 114.539595 141.85504 \nL 112.956442 139.384863 \nL 111.527155 136.869167 \nL 110.280829 134.346503 \nL 109.245847 131.858932 \nL 108.448966 129.450944 \nL 107.914285 127.168039 \nL 107.66223 125.05515 \nL 107.708545 123.154868 \nL 108.063374 121.505655 \nL 108.730569 120.140189 \nL 109.707166 119.083966 \nL 110.983193 118.354251 \nL 112.541824 117.959572 \nL 114.359804 117.899647 \nL 116.408235 118.165915 \nL 118.653579 118.742438 \nL 121.058894 119.607202 \nL 123.585114 120.733587 \nL 126.192392 122.091913 \nL 128.841359 123.650957 \nL 131.494239 125.379251 \nL 134.115772 127.246226 \nL 136.673945 129.223011 \nL 139.14047 131.28303 \nL 141.49105 133.402309 \nL 143.705446 135.559585 \nL 145.767381 137.736263 \nL 147.664311 139.916242 \nL 149.387095 142.085652 \nL 150.929606 144.232597 \nL 152.288299 146.346814 \nL 153.461789 148.419392 \nL 154.450423 150.442504 \nL 155.255876 152.409128 \nL 155.880802 154.31284 \nL 156.328499 156.14759 \nL 156.602642 157.907539 \nL 156.707043 159.586902 \nL 156.645472 161.179815 \nL 156.421496 162.680193 \nL 156.038392 164.081654 \nL 155.499063 165.377383 \nL 154.806011 166.56006 \nL 153.961336 167.621764 \nL 152.966761 168.553907 \nL 151.823704 169.347164 \nL 150.533346 169.991424 \nL 149.096779 170.475745 \nL 147.515135 170.788357 \nL 145.789784 170.916666 \nL 143.922544 170.847346 \nL 141.915939 170.566433 \nL 139.773498 170.059519 \nL 137.500087 169.312036 \nL 135.102272 168.309611 \nL 132.588738 167.038594 \nL 129.970723 165.486664 \nL 127.262489 163.64366 \nL 124.481774 161.502502 \nL 121.650263 159.060331 \nL 118.793971 156.31975 \nL 115.943587 153.290162 \nL 113.134656 149.989167 \nL 110.407565 146.443841 \nL 107.807309 142.691832 \nL 105.382931 138.782053 \nL 103.186609 134.774838 \nL 101.272292 130.741294 \nL 99.693999 126.761812 \nL 98.503693 122.923515 \nL 97.748836 119.316757 \nL 97.46981 116.030833 \nL 97.697357 113.149076 \nL 98.450244 110.743998 \nL 99.733421 108.872784 \nL 101.53691 107.573797 \nL 103.835553 106.864531 \nL 106.589721 106.741259 \nL 109.74699 107.180359 \nL 113.244597 108.141223 \nL 117.012456 109.570222 \nL 120.976539 111.405184 \nL 125.062163 113.57999 \nL 129.197067 116.02862 \nL 133.313997 118.688444 \nL 137.352647 121.502566 \nL 141.260971 124.421238 \nL 144.995842 127.402422 \nL 148.523154 130.411671 \nL 151.817455 133.421567 \nL 154.861273 136.410869 \nL 157.644183 139.363537 \nL 160.161789 142.26776 \nL 162.414667 145.115027 \nL 164.407305 147.899348 \nL 166.147161 150.616578 \nL 167.643781 153.263867 \nL 168.908048 155.839224 \nL 169.951536 158.341202 \nL 170.785983 160.768652 \nL 171.422865 163.120501 \nL 171.873055 165.395662 \nL 172.146575 167.592873 \nL 172.252414 169.710638 \nL 172.198391 171.747136 \nL 171.991084 173.700161 \nL 171.635777 175.567027 \nL 171.13646 177.344506 \nL 170.495823 179.028753 \nL 169.715298 180.61519 \nL 168.795093 182.098413 \nL 167.734252 183.472073 \nL 166.530716 184.728742 \nL 165.181409 185.859757 \nL 163.682319 186.855068 \nL 162.028612 187.703059 \nL 160.214754 188.39037 \nL 158.234669 188.901692 \nL 156.08192 189.21958 \nL 153.74994 189.324283 \nL 151.232316 189.193574 \nL 148.523123 188.802673 \nL 145.617363 188.124195 \nL 142.51147 187.128272 \nL 139.203948 185.782795 \nL 135.696116 184.05394 \nL 131.992993 181.906936 \nL 128.104335 179.307293 \nL 124.045788 176.222469 \nL 119.840192 172.624128 \nL 115.518952 168.491037 \nL 111.123411 163.812637 \nL 106.706152 158.593242 \nL 102.332077 152.856644 \nL 98.078983 146.650907 \nL 94.03752 140.052703 \nL 90.310167 133.170556 \nL 87.008988 126.146051 \nL 84.251938 119.152027 \nL 82.157609 112.386965 \nL 80.838551 106.065028 \nL 80.393428 100.401997 \nL 80.898795 95.59824 \nL 82.401292 91.820736 \nL 84.911444 89.186918 \nL 88.40005 87.753102 \nL 92.797996 87.509963 \nL 97.99976 88.385968 \nL 103.870349 90.25805 \nL 110.254707 92.967519 \nL 116.988435 96.338056 \nL 123.908285 100.192845 \nL 130.86137 104.368314 \nL 137.712188 108.723388 \nL 144.347069 113.143987 \nL 150.676232 117.543567 \nL 156.633711 121.860892 \nL 162.175757 126.056129 \nL 167.278215 130.106377 \nL 171.933428 134.001281 \nL 176.146994 137.739215 \nL 179.934687 141.324171 \nL 183.319685 144.763406 \nL 186.330181 148.065755 \nL 188.997424 151.240475 \nL 191.354135 154.296544 \nL 193.433302 157.242251 \nL 195.267273 160.085008 \nL 196.887117 162.831282 \nL 199.599916 168.055818 \nL 201.782479 172.950943 \nL 204.442637 179.727629 \nL 207.551019 187.777229 \nL 209.153846 191.390939 \nL 210.90393 194.726084 \nL 212.878979 197.769789 \nL 213.974744 199.175616 \nL 215.155628 200.49895 \nL 216.431687 201.73474 \nL 217.813364 202.876792 \nL 219.311572 203.917583 \nL 220.937756 204.848037 \nL 222.703956 205.657271 \nL 224.622831 206.332307 \nL 226.707658 206.857734 \nL 228.97231 207.215341 \nL 231.431173 207.383722 \nL 234.099017 207.337816 \nL 236.990791 207.04847 \nL 240.12132 206.481975 \nL 243.504888 205.599656 \nL 247.154678 204.357543 \nL 251.082012 202.70622 \nL 255.295385 200.590931 \nL 259.799221 197.952096 \nL 264.592335 194.726446 \nL 269.666044 190.848957 \nL 275.001906 186.255892 \nL 280.569115 180.889211 \nL 286.32162 174.702646 \nL 292.195038 167.669546 \nL 298.103655 159.792556 \nL 303.937893 151.11471 \nL 309.5627 141.730951 \nL 314.817595 131.798649 \nL 319.519126 121.544612 \nL 323.466557 111.265744 \nL 326.451313 101.320278 \nL 328.270446 92.107138 \nL 328.743389 84.033311 \nL 327.730639 77.471554 \nL 325.151667 72.715026 \nL 320.999042 69.937564 \nL 315.345596 69.169258 \nL 308.34242 70.29412 \nL 300.207302 73.070987 \nL 291.205248 77.172812 \nL 281.624472 82.234514 \nL 271.752001 87.898448 \nL 261.852717 93.849209 \nL 242.838497 105.667761 \nL 225.846547 116.454769 \nL 211.440682 125.806948 \nL 199.662582 133.779221 \nL 190.246297 140.591597 \nL 182.786959 146.473191 \nL 176.847886 151.603481 \nL 172.018357 156.102378 \nL 164.309576 163.439521 \nL 160.884701 166.303365 \nL 159.186175 167.526004 \nL 157.4689 168.602191 \nL 155.714906 169.525101 \nL 153.908444 170.286659 \nL 152.035843 170.877581 \nL 150.08541 171.287416 \nL 148.047382 171.504584 \nL 145.913938 171.51648 \nL 143.679255 171.30961 \nL 141.339625 170.869761 \nL 138.893652 170.182305 \nL 136.342474 169.232555 \nL 133.690076 168.006274 \nL 130.943626 166.490315 \nL 128.113889 164.673435 \nL 125.215621 162.547246 \nL 122.267996 160.107406 \nL 119.295024 157.354886 \nL 116.325842 154.297438 \nL 113.394945 150.951086 \nL 110.54221 147.341537 \nL 107.812693 143.505486 \nL 105.256097 139.491481 \nL 102.925873 135.360271 \nL 100.877882 131.18436 \nL 99.168659 127.046615 \nL 97.85318 123.037791 \nL 96.982338 119.25296 \nL 96.600151 115.787013 \nL 96.740999 112.729497 \nL 97.427014 110.159212 \nL 98.666 108.1393 \nL 100.45007 106.713228 \nL 102.755188 105.902271 \nL 105.541787 105.704932 \nL 108.756403 106.098113 \nL 112.334227 107.040103 \nL 116.202298 108.47482 \nL 120.283062 110.336707 \nL 124.497978 112.555627 \nL 128.77084 115.061425 \nL 133.030585 117.787506 \nL 137.213445 120.673466 \nL 141.264394 123.666641 \nL 145.137872 126.722693 \nL 148.797922 129.805508 \nL 152.217807 132.886579 \nL 155.379272 135.944027 \nL 158.271573 138.961556 \nL 160.890369 141.927372 \nL 163.236578 144.833177 \nL 165.315267 147.673322 \nL 167.134633 150.444078 \nL 168.705064 153.143055 \nL 170.038353 155.768747 \nL 171.147007 158.320183 \nL 172.043696 160.796691 \nL 172.740805 163.197693 \nL 173.250084 165.522567 \nL 173.582385 167.770539 \nL 173.747474 169.940621 \nL 173.753897 172.031504 \nL 173.608902 174.041528 \nL 173.31839 175.968608 \nL 172.886912 177.810148 \nL 172.317672 179.562992 \nL 171.61255 181.223327 \nL 170.772154 182.786583 \nL 169.795861 184.24734 \nL 168.681882 185.599182 \nL 167.42733 186.834568 \nL 166.02829 187.944683 \nL 164.47992 188.919239 \nL 162.77654 189.746304 \nL 160.911768 190.412103 \nL 158.878665 190.900793 \nL 156.669915 191.194263 \nL 154.278059 191.271914 \nL 151.695773 191.110494 \nL 148.916226 190.683954 \nL 145.933509 189.963412 \nL 142.743173 188.917213 \nL 139.342892 187.511182 \nL 135.733245 185.709101 \nL 131.918653 183.473554 \nL 127.908499 180.767148 \nL 123.718355 177.554313 \nL 119.371411 173.803707 \nL 114.899952 169.491326 \nL 110.346897 164.604422 \nL 105.767249 159.146057 \nL 101.229291 153.140281 \nL 96.815308 146.637403 \nL 92.621593 139.718911 \nL 88.757366 132.501141 \nL 85.342387 125.136699 \nL 82.502907 117.812473 \nL 80.365888 110.743317 \nL 79.051607 104.160848 \nL 78.665022 98.297549 \nL 79.28663 93.367611 \nL 80.963937 89.546844 \nL 83.70473 86.954876 \nL 87.473401 85.642953 \nL 92.191128 85.589887 \nL 97.740207 86.707056 \nL 103.972154 88.851584 \nL 110.718445 91.844852 \nL 117.802399 95.49289 \nL 125.050638 99.605013 \nL 132.302857 104.008337 \nL 139.418961 108.556836 \nL 146.283398 113.135205 \nL 152.806753 117.658414 \nL 158.925181 122.068469 \nL 164.59825 126.329647 \nL 169.805857 130.423363 \nL 174.544698 134.343354 \nL 178.824743 138.091619 \nL 182.665944 141.675213 \nL 186.095335 145.103845 \nL 189.144579 148.388272 \nL 191.847984 151.539208 \nL 194.24094 154.566667 \nL 196.358734 157.479672 \nL 198.235691 160.286084 \nL 201.396237 165.604975 \nL 203.960406 170.56485 \nL 207.12352 177.388859 \nL 209.94399 183.513949 \nL 211.846172 187.213411 \nL 213.888581 190.596321 \nL 216.164813 193.643264 \nL 217.418529 195.031241 \nL 218.764057 196.321881 \nL 220.212579 197.508456 \nL 221.775491 198.58286 \nL 223.464482 199.535376 \nL 225.291582 200.354451 \nL 227.269188 201.026419 \nL 229.410047 201.535192 \nL 231.727214 201.861943 \nL 234.233935 201.984747 \nL 236.943483 201.878218 \nL 239.868917 201.513173 \nL 243.022709 200.856297 \nL 246.416298 199.869909 \nL 250.059449 198.511868 \nL 253.959451 196.735678 \nL 258.120106 194.49094 \nL 262.540469 191.724242 \nL 267.213322 188.380711 \nL 272.123352 184.406369 \nL 277.245074 179.751533 \nL 282.540507 174.375465 \nL 287.956707 168.252391 \nL 293.423348 161.378873 \nL 298.850566 153.782354 \nL 304.127512 145.53024 \nL 309.12202 136.738518 \nL 313.682029 127.578266 \nL 317.639317 118.278124 \nL 320.816066 109.120297 \nL 323.034537 100.428308 \nL 324.129544 92.545404 \nL 323.962984 85.804689 \nL 322.438732 80.494282 \nL 319.51579 76.823166 \nL 315.217222 74.89475 \nL 309.632846 74.694296 \nL 302.914504 76.093749 \nL 295.264295 78.873083 \nL 286.917493 82.753146 \nL 278.122945 87.43261 \nL 269.12406 92.621413 \nL 260.142953 98.065507 \nL 242.954628 108.956213 \nL 227.611149 119.08703 \nL 214.584239 128.094141 \nL 208.962567 132.170999 \nL 203.908775 135.984865 \nL 199.387472 139.557575 \nL 195.355899 142.911586 \nL 191.767101 146.068138 \nL 188.572379 149.046191 \nL 183.171974 154.528987 \nL 178.786642 159.457104 \nL 168.702962 171.340857 \nL 165.592778 174.342329 \nL 163.985142 175.647299 \nL 162.319512 176.812761 \nL 160.580574 177.830273 \nL 158.754359 178.68994 \nL 156.828156 179.38034 \nL 154.790459 179.888454 \nL 152.630973 180.199594 \nL 150.340667 180.297353 \nL 147.911915 180.163632 \nL 145.338679 179.77867 \nL 142.616786 179.121211 \nL 139.744301 178.168755 \nL 136.721966 176.898011 \nL 133.553736 175.285483 \nL 130.247428 173.30835 \nL 126.81541 170.945608 \nL 123.275416 168.179574 \nL 119.651331 164.997689 \nL 115.974031 161.394752 \nL 112.282096 157.375411 \nL 108.622418 152.956897 \nL 105.050494 148.171803 \nL 101.630358 143.070624 \nL 98.433933 137.723753 \nL 95.539721 132.222389 \nL 93.030684 126.677975 \nL 90.991268 121.219704 \nL 89.50355 115.989765 \nL 88.642702 111.136329 \nL 88.472055 106.804588 \nL 89.038098 103.126664 \nL 90.366096 100.211516 \nL 92.456747 98.136137 \nL 95.284498 96.939623 \nL 98.797801 96.620833 \nL 102.921444 97.140265 \nL 107.560798 98.42562 \nL 112.607414 100.380297 \nL 117.945438 102.893158 \nL 123.458051 105.848371 \nL 129.033336 109.13376 \nL 134.569046 112.647259 \nL 139.976023 116.300862 \nL 145.180198 120.02239 \nL 150.123292 123.755397 \nL 154.762456 127.457897 \nL 159.069106 131.100292 \nL 163.027267 134.663046 \nL 166.631649 138.134414 \nL 169.885641 141.50838 \nL 172.799403 144.782953 \nL 175.388108 147.958813 \nL 177.670398 151.038276 \nL 179.667083 154.024557 \nL 181.400072 156.921274 \nL 182.891516 159.732111 \nL 184.163148 162.460617 \nL 185.235798 165.110119 \nL 186.129044 167.683638 \nL 186.860978 170.183905 \nL 187.905123 174.974224 \nL 188.479778 179.497646 \nL 188.670093 183.767291 \nL 188.536857 187.793398 \nL 188.119243 191.583535 \nL 187.437568 195.142493 \nL 186.495635 198.471758 \nL 185.282471 201.568652 \nL 183.773398 204.424923 \nL 182.896553 205.758251 \nL 181.930454 207.024753 \nL 180.868258 208.220799 \nL 179.70224 209.341858 \nL 178.423777 210.382338 \nL 177.023312 211.335398 \nL 175.490329 212.19272 \nL 173.813329 212.944241 \nL 171.979809 213.577856 \nL 169.976263 214.079043 \nL 167.788206 214.430472 \nL 165.400219 214.611533 \nL 162.79605 214.597807 \nL 159.958772 214.360518 \nL 156.871021 213.865922 \nL 153.515345 213.074686 \nL 149.874704 211.941314 \nL 145.933122 210.413662 \nL 141.676612 208.432631 \nL 137.094337 205.932211 \nL 132.18014 202.840035 \nL 126.93448 199.078699 \nL 121.366801 194.568204 \nL 115.498426 189.229843 \nL 109.365887 182.992024 \nL 103.02472 175.798329 \nL 96.553473 167.618181 \nL 90.057605 158.459963 \nL 83.672761 148.386051 \nL 77.566709 137.528371 \nL 71.938839 126.101868 \nL 67.016244 114.412374 \nL 63.045163 102.854371 \nL 60.277111 91.894124 \nL 58.949666 82.03566 \nL 59.263223 73.770245 \nL 61.356376 67.515433 \nL 65.284024 63.555174 \nL 71.002809 61.995177 \nL 78.367965 62.746362 \nL 87.143405 65.542392 \nL 97.02405 69.987073 \nL 107.666181 75.619095 \nL 118.720079 81.977369 \nL 140.801372 95.31919 \nL 170.492606 113.345514 \nL 205.424919 134.320318 \nL 214.740458 140.186518 \nL 222.086591 145.063407 \nL 230.454425 150.939853 \nL 236.83959 155.395376 \nL 240.513361 157.642309 \nL 242.263753 158.549213 \nL 243.987116 159.308482 \nL 245.702291 159.916295 \nL 247.42509 160.367964 \nL 249.168468 160.658085 \nL 250.942685 160.780769 \nL 252.755421 160.729805 \nL 254.611845 160.498886 \nL 256.514648 160.08186 \nL 258.464046 159.473042 \nL 260.457749 158.667532 \nL 262.490917 157.661609 \nL 264.556075 156.453199 \nL 266.643048 155.042351 \nL 268.738916 153.431764 \nL 270.827952 151.627377 \nL 272.891639 149.638916 \nL 274.908761 147.480415 \nL 276.855547 145.170706 \nL 278.705958 142.733725 \nL 280.432074 140.198696 \nL 282.004658 137.600031 \nL 283.393833 134.976969 \nL 284.569943 132.372883 \nL 285.504524 129.834229 \nL 286.171386 127.40917 \nL 286.547734 125.145889 \nL 286.615311 123.09073 \nL 286.361422 121.286267 \nL 285.779812 119.769388 \nL 284.871307 118.569683 \nL 283.64415 117.708178 \nL 282.113976 117.196559 \nL 280.30345 117.037002 \nL 278.241522 117.22253 \nL 275.962428 117.737962 \nL 273.504399 118.561165 \nL 270.90829 119.664702 \nL 268.216124 121.017488 \nL 265.46972 122.586488 \nL 262.709425 124.3382 \nL 259.973068 126.23993 \nL 257.295143 128.260744 \nL 254.706222 130.372152 \nL 252.232637 132.548489 \nL 249.896358 134.767052 \nL 247.715087 137.008088 \nL 245.702481 139.254571 \nL 243.86849 141.491965 \nL 242.219792 143.707898 \nL 240.760232 145.891817 \nL 239.491299 148.034677 \nL 238.412579 150.128607 \nL 237.522201 152.166661 \nL 236.817225 154.142544 \nL 236.293994 156.050409 \nL 235.948438 157.884665 \nL 235.776343 159.639798 \nL 235.773541 161.310243 \nL 235.936086 162.890238 \nL 236.26038 164.373732 \nL 236.743238 165.754269 \nL 237.381956 167.02486 \nL 238.17431 168.17794 \nL 239.118537 169.205256 \nL 240.213297 170.097778 \nL 241.457579 170.845653 \nL 242.850606 171.438157 \nL 244.391691 171.863633 \nL 246.080057 172.109504 \nL 247.914639 172.16229 \nL 249.893849 172.007685 \nL 252.01527 171.630715 \nL 254.275355 171.015915 \nL 256.669042 170.147671 \nL 259.189354 169.010639 \nL 261.826944 167.59032 \nL 264.569617 165.873787 \nL 267.401811 163.850591 \nL 270.304091 161.513854 \nL 273.252678 158.861519 \nL 276.218994 155.897762 \nL 279.169347 152.634507 \nL 282.064765 149.092934 \nL 284.861055 145.304878 \nL 287.509128 141.313942 \nL 289.955738 137.176112 \nL 292.144599 132.95972 \nL 294.017954 128.744452 \nL 295.518632 124.619335 \nL 296.592491 120.679568 \nL 297.191154 117.02228 \nL 297.274881 113.741504 \nL 296.815306 110.922702 \nL 295.797854 108.637372 \nL 294.223482 106.938531 \nL 292.109537 105.857374 \nL 289.489596 105.40185 \nL 286.412248 105.557101 \nL 282.938837 106.287829 \nL 279.140427 107.542174 \nL 275.094286 109.256537 \nL 270.880158 111.360678 \nL 266.576738 113.782622 \nL 262.258539 116.452743 \nL 257.993423 119.306869 \nL 253.840844 122.288249 \nL 249.850806 125.348573 \nL 246.063524 128.448068 \nL 242.509604 131.555034 \nL 239.210688 134.644963 \nL 236.180372 137.699458 \nL 233.425293 140.705133 \nL 230.946298 143.652534 \nL 228.739588 146.53521 \nL 226.7978 149.348906 \nL 225.11101 152.090934 \nL 223.667577 154.759642 \nL 222.454894 157.354052 \nL 221.459987 159.873559 \nL 220.670022 162.317714 \nL 220.072685 164.686072 \nL 219.65649 166.978082 \nL 219.410984 169.192994 \nL 219.326906 171.329786 \nL 219.396288 173.387107 \nL 219.612513 175.363203 \nL 219.970325 177.255869 \nL 220.465844 179.062375 \nL 221.096533 180.779402 \nL 221.861165 182.402915 \nL 222.759776 183.928107 \nL 223.793614 185.34926 \nL 224.965071 186.659617 \nL 226.277617 187.851221 \nL 227.735716 188.91478 \nL 229.344742 189.839456 \nL 231.110856 190.612681 \nL 233.0409 191.219941 \nL 235.14222 191.644558 \nL 237.422478 191.867461 \nL 239.889413 191.866997 \nL 242.550528 191.618735 \nL 245.412718 191.095359 \nL 248.481808 190.26663 \nL 251.761965 189.0995 \nL 255.254996 187.55842 \nL 258.959506 185.605913 \nL 262.869889 183.203533 \nL 266.975152 180.313258 \nL 271.257583 176.899509 \nL 275.691281 172.931796 \nL 280.240598 168.388172 \nL 284.858561 163.259456 \nL 289.48544 157.554149 \nL 294.047618 151.303838 \nL 298.457005 144.568662 \nL 302.611336 137.442074 \nL 306.395604 130.054136 \nL 309.68503 122.57203 \nL 312.349731 115.196797 \nL 314.261205 108.155247 \nL 315.300411 101.686841 \nL 315.366941 96.025937 \nL 314.388373 91.381329 \nL 312.328621 87.915807 \nL 309.194002 85.72931 \nL 305.035797 84.848795 \nL 299.948636 85.227255 \nL 294.064633 86.752022 \nL 287.543924 89.260748 \nL 280.563034 92.561743 \nL 273.302534 96.454877 \nL 265.935741 100.749618 \nL 258.619543 105.278017 \nL 251.488088 109.902083 \nL 244.649413 114.515869 \nL 238.184717 119.043707 \nL 232.149649 123.436079 \nL 226.576981 127.66435 \nL 221.480035 131.715518 \nL 216.856346 135.587471 \nL 212.691231 139.28512 \nL 208.961035 142.817426 \nL 205.635921 146.195281 \nL 202.682199 149.430046 \nL 200.064179 152.532672 \nL 197.745605 155.513175 \nL 195.690728 158.380415 \nL 192.235889 163.8044 \nL 189.446722 168.851874 \nL 186.043383 175.782501 \nL 183.060906 181.989991 \nL 181.077294 185.731899 \nL 178.965988 189.146899 \nL 176.627988 192.214639 \nL 175.344807 193.608344 \nL 173.970267 194.901303 \nL 172.492919 196.086529 \nL 170.901178 197.155623 \nL 169.183244 198.098548 \nL 167.327053 198.903403 \nL 165.320264 199.556148 \nL 163.150268 200.04032 \nL 160.804261 200.336704 \nL 158.269356 200.423009 \nL 155.532763 200.273532 \nL 152.582076 199.858846 \nL 149.405623 199.145521 \nL 145.992983 198.095961 \nL 142.335637 196.668383 \nL 138.427783 194.817035 \nL 134.267398 192.49277 \nL 129.857499 189.644103 \nL 125.207689 186.218909 \nL 120.335951 182.166984 \nL 115.270705 177.443601 \nL 110.053017 172.014297 \nL 104.738939 165.860904 \nL 99.401719 158.988824 \nL 94.133614 151.435228 \nL 89.046992 143.277469 \nL 84.274162 134.640691 \nL 79.965419 125.702951 \nL 76.28482 116.696018 \nL 73.403203 107.899684 \nL 71.488363 99.628108 \nL 70.692756 92.207638 \nL 71.139668 85.9476 \nL 72.909476 81.107644 \nL 76.028088 77.867118 \nL 80.459783 76.302917 \nL 86.10614 76.381053 \nL 92.811864 77.964163 \nL 100.37692 80.833598 \nL 108.573124 84.720928 \nL 117.162585 89.341964 \nL 125.915102 94.426574 \nL 134.62239 99.740249 \nL 143.107795 105.095552 \nL 158.890191 115.425725 \nL 172.575066 124.816488 \nL 178.553095 129.107033 \nL 183.960034 133.135114 \nL 188.819809 136.917102 \nL 193.166914 140.472784 \nL 197.04269 143.822609 \nL 200.492359 146.985943 \nL 203.562741 149.980155 \nL 208.751225 155.518426 \nL 212.961718 160.527274 \nL 222.630401 172.782885 \nL 225.613463 175.955741 \nL 227.157268 177.357211 \nL 228.7587 178.627172 \nL 230.43314 179.757813 \nL 232.194796 180.739883 \nL 234.056812 181.5626 \nL 236.031347 182.213532 \nL 238.12958 182.678484 \nL 240.361697 182.941417 \nL 242.736772 182.984348 \nL 245.262624 182.787357 \nL 247.945565 182.328591 \nL 250.790088 181.58441 \nL 253.79843 180.529668 \nL 256.970072 179.138128 \nL 260.301104 177.383149 \nL 263.783496 175.238595 \nL 267.404275 172.680173 \nL 271.144602 169.687075 \nL 274.97881 166.244095 \nL 278.873458 162.34417 \nL 282.786426 157.991343 \nL 286.66619 153.203951 \nL 290.451429 148.017964 \nL 294.071094 142.490016 \nL 297.445081 136.699739 \nL 300.485767 130.750901 \nL 303.100491 124.770629 \nL 305.195077 118.906292 \nL 306.678375 113.31961 \nL 307.46762 108.177985 \nL 307.494296 103.643594 \nL 306.709881 99.861171 \nL 305.090877 96.946125 \nL 302.642425 94.974616 \nL 299.399844 93.977382 \nL 295.427746 93.938237 \nL 290.816714 94.797767 \nL 285.677818 96.461327 \nL 280.135624 98.810003 \nL 274.32057 101.712694 \nL 268.361567 105.03738 \nL 262.379566 108.660399 \nL 256.482581 112.472793 \nL 250.762416 116.383764 \nL 245.293049 120.321565 \nL 240.130472 124.232484 \nL 235.313625 128.078611 \nL 230.866116 131.835036 \nL 226.798367 135.487006 \nL 223.109938 139.027243 \nL 219.7918 142.453739 \nL 216.828467 145.767925 \nL 214.199861 148.973339 \nL 211.882921 152.074629 \nL 209.852924 155.076883 \nL 208.08453 157.985216 \nL 206.552605 160.804512 \nL 205.232827 163.539272 \nL 204.102113 166.193599 \nL 203.138914 168.771159 \nL 201.637449 173.708824 \nL 200.591065 178.374715 \nL 199.890215 182.787255 \nL 199.450563 186.962009 \nL 199.209348 190.912588 \nL 199.125198 196.444553 \nL 199.295175 201.536171 \nL 199.676898 206.219757 \nL 200.266041 210.523203 \nL 201.088496 214.469272 \nL 201.791659 216.909686 \nL 202.644561 219.201036 \nL 203.676441 221.343203 \nL 204.923871 223.332514 \nL 206.432071 225.160273 \nL 208.256556 226.810617 \nL 210.465128 228.257348 \nL 211.73856 228.892246 \nL 213.140194 229.459296 \nL 214.683033 229.949905 \nL 216.38131 230.353544 \nL 218.250571 230.657348 \nL 220.307731 230.845661 \nL 222.571126 230.899477 \nL 225.060513 230.795799 \nL 227.797048 230.506895 \nL 230.803188 229.99944 \nL 234.102494 229.23357 \nL 237.719322 228.161836 \nL 241.678336 226.728133 \nL 246.003791 224.866629 \nL 250.718516 222.500849 \nL 255.842505 219.543075 \nL 261.391026 215.894339 \nL 267.372118 211.44539 \nL 273.783341 206.079169 \nL 280.607726 199.675475 \nL 287.808801 192.118628 \nL 295.324736 183.30901 \nL 303.061827 173.1793 \nL 310.887703 161.715661 \nL 318.625104 148.983415 \nL 326.047463 135.154957 \nL 332.878073 120.53555 \nL 338.795084 105.57989 \nL 343.444461 90.890065 \nL 346.462816 77.185287 \nL 347.510007 65.237183 \nL 346.309374 55.772991 \nL 342.689596 49.361345 \nL 336.619932 46.307692 \nL 328.229136 46.591116 \nL 317.801168 49.866208 \nL 305.746084 55.533018 \nL 292.551793 62.853788 \nL 278.727584 71.080365 \nL 251.033919 87.782171 \nL 237.892639 95.419128 \nL 225.552807 102.282962 \nL 214.152657 108.304575 \nL 203.758469 113.494263 \nL 194.381331 117.909858 \nL 185.993077 121.632671 \nL 178.539845 124.751482 \nL 171.952727 127.352827 \nL 161.070832 131.310465 \nL 152.739108 134.024572 \nL 146.408682 135.870342 \nL 139.693881 137.562282 \nL 135.323013 138.448754 \nL 131.837497 138.954119 \nL 129.039114 139.301638 \nL 129.094907 139.482996 \nL 130.281527 141.336127 \nL 130.326757 141.921305 \nL 130.117234 142.201937 \nL 129.704944 142.256476 \nL 129.142859 142.063212 \nL 128.356632 141.502364 \nL 127.662261 140.702946 \nL 127.252185 139.862759 \nL 127.2219 139.315406 \nL 127.390636 139.047598 \nL 127.713648 138.937644 \nL 128.164511 139.001041 \nL 128.893489 139.349667 \nL 129.65731 139.9512 \nL 130.327811 140.712792 \nL 130.790586 141.515171 \nL 130.963197 142.231083 \nL 130.877134 142.639676 \nL 130.606928 142.891946 \nL 130.170267 142.958355 \nL 129.599917 142.823783 \nL 128.712833 142.337488 \nL 127.808165 141.554962 \nL 127.038127 140.589274 \nL 126.546022 139.598286 \nL 126.425466 138.945107 \nL 126.544999 138.447818 \nL 126.902997 138.1627 \nL 127.472445 138.124764 \nL 128.203099 138.343421 \nL 129.026868 138.801829 \nL 130.134386 139.713481 \nL 131.081645 140.834064 \nL 131.709138 141.989169 \nL 131.902063 142.769747 \nL 131.829831 143.398196 \nL 131.632917 143.702367 \nL 131.322265 143.897366 \nL 130.664419 143.961827 \nL 129.820678 143.735895 \nL 128.857798 143.222633 \nL 127.857741 142.451858 \nL 126.912589 141.481362 \nL 126.117134 140.395074 \nL 125.55947 139.297043 \nL 125.3101 138.301034 \nL 125.337519 137.74844 \nL 125.525447 137.318607 \nL 125.86994 137.03423 \nL 126.359164 136.910941 \nL 126.973864 136.956409 \nL 128.073588 137.3376 \nL 129.29069 138.06072 \nL 130.507254 139.058048 \nL 131.60703 140.238555 \nL 132.487146 141.498305 \nL 133.066579 142.729623 \nL 133.291078 143.828404 \nL 133.229795 144.439825 \nL 132.998533 144.924844 \nL 132.602629 145.261819 \nL 132.053033 145.433043 \nL 131.366145 145.42552 \nL 130.563691 145.231763 \nL 129.203308 144.591451 \nL 127.754321 143.55891 \nL 126.345568 142.203265 \nL 125.11619 140.636247 \nL 124.202544 139.006615 \nL 123.827871 137.969888 \nL 123.672124 137.03383 \nL 123.751431 136.247475 \nL 124.070379 135.653141 \nL 124.621021 135.283386 \nL 125.382878 135.158744 \nL 126.323958 135.286551 \nL 127.402677 135.660986 \nL 128.570545 136.264205 \nL 129.77525 137.068252 \nL 131.535829 138.571336 \nL 133.092884 140.304812 \nL 134.305713 142.118627 \nL 134.869898 143.29899 \nL 135.212845 144.407259 \nL 135.321349 145.404152 \nL 135.189824 146.253318 \nL 134.819993 146.921745 \nL 134.220602 147.38029 \nL 133.407305 147.604351 \nL 132.402614 147.574856 \nL 131.235997 147.279536 \nL 129.943941 146.714424 \nL 128.569939 145.885546 \nL 127.164135 144.810601 \nL 125.782535 143.520361 \nL 124.48549 142.059468 \nL 123.335448 140.48617 \nL 122.393792 138.870656 \nL 121.716959 137.291818 \nL 121.352046 135.832406 \nL 121.332445 134.572937 \nL 121.674034 133.585132 \nL 121.979773 133.211565 \nL 122.372591 132.925741 \nL 122.848674 132.731643 \nL 124.029243 132.627476 \nL 125.46775 132.902637 \nL 127.096005 133.539332 \nL 128.836529 134.501626 \nL 130.608194 135.739863 \nL 132.331611 137.195565 \nL 133.933592 138.805838 \nL 135.35039 140.506993 \nL 136.529572 142.23698 \nL 137.430714 143.936885 \nL 138.025119 145.551557 \nL 138.294996 147.029682 \nL 138.232379 148.323607 \nL 137.838105 149.389123 \nL 137.121039 150.185494 \nL 136.097711 150.675772 \nL 134.792392 150.827695 \nL 133.237594 150.615208 \nL 131.474865 150.020644 \nL 129.55571 149.037672 \nL 127.542379 147.6747 \nL 125.508082 145.958533 \nL 123.536327 143.937702 \nL 121.718802 141.684565 \nL 120.151618 139.295341 \nL 118.929579 136.887055 \nL 118.138802 134.590875 \nL 117.927603 133.527232 \nL 117.848289 132.541911 \nL 117.905447 131.650342 \nL 118.101625 130.866582 \nL 118.437194 130.202937 \nL 118.910236 129.669617 \nL 119.516542 129.274512 \nL 120.249646 129.023017 \nL 121.100932 128.91793 \nL 122.059831 128.9595 \nL 123.114051 129.145514 \nL 125.452441 129.93095 \nL 127.995054 131.215973 \nL 130.614123 132.919997 \nL 133.185452 134.950291 \nL 135.596731 137.210814 \nL 137.753047 139.608659 \nL 139.579455 142.057792 \nL 141.021041 144.480433 \nL 142.041185 146.806822 \nL 142.618829 148.973969 \nL 142.745508 150.924025 \nL 142.639856 151.800574 \nL 142.422648 152.602681 \nL 142.095279 153.323895 \nL 141.659551 153.957858 \nL 141.117678 154.498301 \nL 140.472271 154.939035 \nL 139.726372 155.273985 \nL 138.883488 155.497228 \nL 137.947629 155.603046 \nL 136.923383 155.586018 \nL 135.815982 155.441115 \nL 134.631394 155.163818 \nL 133.376409 154.750298 \nL 130.687091 153.503679 \nL 127.822368 151.691472 \nL 124.875327 149.328602 \nL 121.959262 146.462988 \nL 119.206913 143.183062 \nL 116.766529 139.622462 \nL 115.711983 137.790988 \nL 114.793742 135.959217 \nL 114.030369 134.15489 \nL 113.439091 132.406922 \nL 113.035271 130.744638 \nL 112.831822 129.196895 \nL 112.838653 127.791162 \nL 113.062227 126.552601 \nL 113.505128 125.503177 \nL 114.165818 124.660913 \nL 115.038525 124.039289 \nL 116.113263 123.646864 \nL 117.376058 123.487146 \nL 118.809288 123.55867 \nL 120.392199 123.855335 \nL 122.101535 124.36692 \nL 123.912213 125.079735 \nL 125.798042 125.97738 \nL 127.732461 127.0415 \nL 131.642979 129.590477 \nL 135.447766 132.567662 \nL 138.979457 135.822032 \nL 142.107074 139.220217 \nL 144.737361 142.6497 \nL 146.811315 146.017522 \nL 147.62909 147.653724 \nL 148.297961 149.246585 \nL 148.817242 150.788185 \nL 149.187111 152.271024 \nL 149.408418 153.687905 \nL 149.482515 155.031799 \nL 149.411121 156.295744 \nL 149.196206 157.472771 \nL 148.83991 158.555799 \nL 148.344477 159.537588 \nL 147.712241 160.410666 \nL 146.945611 161.167297 \nL 146.047108 161.799448 \nL 145.019405 162.298788 \nL 143.865416 162.656714 \nL 142.588392 162.86436 \nL 141.192048 162.912712 \nL 139.680717 162.792691 \nL 138.059526 162.495311 \nL 136.334588 162.011884 \nL 134.513227 161.334283 \nL 132.604191 160.455282 \nL 130.6179 159.368935 \nL 128.566693 158.071036 \nL 126.465055 156.559663 \nL 124.329818 154.83577 \nL 122.180349 152.903805 \nL 120.038636 150.772399 \nL 117.929355 148.454963 \nL 115.879771 145.970285 \nL 113.919541 143.342977 \nL 112.080353 140.603706 \nL 110.395403 137.789218 \nL 108.898661 134.941985 \nL 107.623984 132.109457 \nL 106.604022 129.342956 \nL 105.869031 126.696075 \nL 105.445556 124.222792 \nL 105.355149 121.975254 \nL 105.613147 120.001498 \nL 106.227613 118.343172 \nL 107.198591 117.033615 \nL 108.517657 116.096289 \nL 110.167947 115.543908 \nL 112.124552 115.378156 \nL 114.355391 115.590218 \nL 116.822375 116.161882 \nL 119.482929 117.067143 \nL 122.291601 118.274107 \nL 125.201744 119.747042 \nL 128.167127 121.448368 \nL 131.143383 123.340379 \nL 134.089187 125.386697 \nL 136.967169 127.553324 \nL 139.744537 129.809363 \nL 142.393394 132.127379 \nL 144.890815 134.483475 \nL 147.2187 136.857177 \nL 149.363464 139.231178 \nL 151.315603 141.590958 \nL 153.069203 143.924401 \nL 154.621381 146.221372 \nL 155.971763 148.473352 \nL 157.121938 150.673065 \nL 158.074983 152.814198 \nL 158.835016 154.891091 \nL 159.406806 156.898536 \nL 159.795454 158.831556 \nL 160.006091 160.685248 \nL 160.043682 162.454626 \nL 159.912836 164.134491 \nL 159.617675 165.719328 \nL 159.161751 167.203163 \nL 158.548002 168.579496 \nL 157.778722 169.841177 \nL 156.855587 170.980319 \nL 155.779692 171.988215 \nL 154.551625 172.855234 \nL 153.171576 173.570755 \nL 151.639453 174.123093 \nL 149.955064 174.49946 \nL 148.118298 174.685941 \nL 146.129372 174.667527 \nL 143.989093 174.428157 \nL 141.699193 173.950908 \nL 139.262695 173.218198 \nL 136.684333 172.212148 \nL 133.971031 170.915066 \nL 131.132426 169.310129 \nL 128.181428 167.382216 \nL 125.134835 165.119003 \nL 122.013918 162.512245 \nL 118.84501 159.559296 \nL 115.660042 156.264836 \nL 112.496912 152.642702 \nL 109.399698 148.717691 \nL 106.418581 144.527305 \nL 103.609416 140.123028 \nL 101.032848 135.571039 \nL 98.752896 130.952003 \nL 96.834985 126.359661 \nL 95.343445 121.898131 \nL 94.338459 117.677697 \nL 93.872764 113.809394 \nL 93.988202 110.398589 \nL 94.712487 107.53826 \nL 96.056538 105.302644 \nL 98.012688 103.742137 \nL 100.554073 102.880139 \nL 103.635326 102.712242 \nL 107.194565 103.207932 \nL 111.156569 104.314516 \nL 115.436726 105.962656 \nL 119.945454 108.072618 \nL 124.592602 110.56058 \nL 129.291448 113.344067 \nL 133.962004 116.346338 \nL 138.53347 119.499222 \nL 142.945777 122.744683 \nL 147.150255 126.035203 \nL 151.10958 129.333289 \nL 154.797139 132.610414 \nL 158.195997 135.845681 \nL 161.297628 139.024409 \nL 164.100542 142.136753 \nL 166.608897 145.176526 \nL 168.831209 148.140189 \nL 170.779157 151.026022 \nL 172.466554 153.833523 \nL 173.908465 156.562923 \nL 175.120473 159.214867 \nL 176.118098 161.790164 \nL 176.91634 164.289623 \nL 177.529329 166.713958 \nL 177.970073 169.063706 \nL 178.250289 171.339164 \nL 178.380291 173.540366 \nL 178.368927 175.667041 \nL 178.223554 177.718584 \nL 177.950055 179.694007 \nL 177.552847 181.591899 \nL 177.034934 183.410378 \nL 176.397945 185.147019 \nL 175.642186 186.798776 \nL 174.766698 188.361879 \nL 173.769303 189.831759 \nL 172.646659 191.202883 \nL 171.394318 192.468636 \nL 170.006779 193.621143 \nL 168.477552 194.651075 \nL 166.799217 195.547452 \nL 164.963524 196.297399 \nL 162.961484 196.885878 \nL 160.783496 197.295429 \nL 158.419533 197.505856 \nL 155.859347 197.49396 \nL 153.092751 197.233235 \nL 150.109996 196.693657 \nL 146.902227 195.841505 \nL 143.462085 194.639336 \nL 139.784436 193.046151 \nL 135.867298 191.01784 \nL 131.712952 188.508033 \nL 127.329277 185.469477 \nL 122.73131 181.856091 \nL 117.942996 177.625896 \nL 112.999178 172.74488 \nL 107.947595 167.192016 \nL 102.850918 160.965285 \nL 97.788447 154.088601 \nL 92.857322 146.619175 \nL 88.172754 138.65445 \nL 83.866877 130.337492 \nL 80.085778 121.85925 \nL 76.984249 113.455986 \nL 74.718144 105.400387 \nL 73.434337 97.985465 \nL 73.25905 91.501776 \nL 74.285517 86.210056 \nL 76.562754 82.313331 \nL 80.087128 79.933459 \nL 84.798622 79.097194 \nL 90.582739 79.734979 \nL 97.27825 81.693213 \nL 104.689781 84.757077 \nL 112.603327 88.679059 \nL 120.802305 93.207254 \nL 129.081986 98.108838 \nL 137.260681 103.18562 \nL 145.186875 108.281548 \nL 159.842439 118.115231 \nL 166.432645 122.73397 \nL 172.485394 127.119364 \nL 177.994942 131.268104 \nL 182.972708 135.187635 \nL 187.442876 138.891522 \nL 191.438561 142.396146 \nL 194.998623 145.718458 \nL 198.16511 148.874584 \nL 200.981295 151.879059 \nL 203.490209 154.74446 \nL 207.751245 160.098266 \nL 211.256058 164.997799 \nL 218.359291 175.442879 \nL 221.05628 178.904112 \nL 222.452869 180.471614 \nL 223.903361 181.924049 \nL 225.422784 183.255195 \nL 227.025298 184.457521 \nL 228.724327 185.522084 \nL 230.53267 186.438331 \nL 232.462565 187.193983 \nL 234.525718 187.774847 \nL 236.73327 188.164625 \nL 239.095732 188.344783 \nL 241.622812 188.294389 \nL 244.32322 187.990023 \nL 247.204341 187.405739 \nL 250.271824 186.513157 \nL 253.529069 185.281702 \nL 256.976578 183.679037 \nL 260.611169 181.671796 \nL 264.425047 179.226655 \nL 268.404742 176.311872 \nL 272.529925 172.899357 \nL 276.772116 168.967316 \nL 281.093385 164.503565 \nL 285.445107 159.509379 \nL 289.766915 154.003896 \nL 293.986009 148.028627 \nL 298.017129 141.651734 \nL 301.763295 134.971395 \nL 305.117735 128.117423 \nL 307.967111 121.250262 \nL 310.196205 114.556494 \nL 311.694054 108.240344 \nL 312.361196 102.511209 \nL 312.117536 97.568013 \nL 310.909988 93.582106 \nL 308.71889 90.681254 \nL 305.56216 88.937192 \nL 301.496409 88.359435 \nL 296.614533 88.896277 \nL 291.03997 90.443153 \nL 284.918259 92.856468 \nL 278.407066 95.970369 \nL 271.665931 99.613488 \nL 264.84702 103.623188 \nL 258.087701 107.85574 \nL 251.505467 112.192059 \nL 245.195245 116.53944 \nL 239.228837 120.830223 \nL 233.655991 125.018593 \nL 228.506615 129.076449 \nL 223.793631 132.989181 \nL 219.516045 136.751853 \nL 215.661986 140.366013 \nL 212.21148 143.837169 \nL 209.138885 147.17296 \nL 206.414933 150.381906 \nL 204.008386 153.472534 \nL 201.887336 156.452901 \nL 200.020189 159.33036 \nL 198.376377 162.111405 \nL 195.644381 167.406153 \nL 193.481752 172.373517 \nL 191.711036 177.039893 \nL 185.972882 192.989936 \nL 184.402536 196.32691 \nL 182.627215 199.395881 \nL 180.577076 202.179946 \nL 179.426308 203.456856 \nL 178.178963 204.650846 \nL 176.824848 205.755937 \nL 175.353201 206.764833 \nL 173.752613 207.668707 \nL 172.010979 208.456939 \nL 170.115467 209.116815 \nL 168.052504 209.633175 \nL 165.807802 209.988042 \nL 163.366419 210.160171 \nL 160.712868 210.124592 \nL 157.831315 209.852091 \nL 154.705848 209.308713 \nL 151.320873 208.45525 \nL 147.661658 207.246831 \nL 143.715049 205.632631 \nL 139.470444 203.555836 \nL 134.921001 200.953984 \nL 130.06521 197.7599 \nL 124.908812 193.903447 \nL 119.467119 189.314378 \nL 113.76776 183.926652 \nL 107.853783 177.684485 \nL 101.787016 170.550451 \nL 95.651466 162.515658 \nL 89.556386 153.611735 \nL 83.63848 143.923823 \nL 78.062537 133.602976 \nL 73.019575 122.875494 \nL 68.721653 112.045913 \nL 65.392486 101.490063 \nL 63.253579 91.635139 \nL 62.506311 82.92557 \nL 63.311389 75.777086 \nL 65.768402 70.525277 \nL 69.899067 67.378818 \nL 75.637727 66.388681 \nL 82.831962 67.441926 \nL 91.254166 70.2827 \nL 100.622446 74.555384 \nL 110.627143 79.858761 \nL 120.958181 85.798306 \nL 131.328801 92.026483 \nL 151.253471 104.316898 \nL 184.088299 124.865657 \nL 196.366136 132.810528 \nL 206.163372 139.494536 \nL 213.912775 145.179054 \nL 220.075369 150.064912 \nL 227.267866 156.170013 \nL 233.043406 160.982126 \nL 236.557562 163.489558 \nL 238.291466 164.525188 \nL 240.037304 165.408681 \nL 241.812234 166.133503 \nL 243.630923 166.692037 \nL 245.505681 167.075688 \nL 247.446549 167.275011 \nL 249.461347 167.27981 \nL 251.555653 167.079339 \nL 253.732753 166.662508 \nL 255.993532 166.018205 \nL 258.336313 165.135639 \nL 260.756649 164.00482 \nL 263.247101 162.617127 \nL 265.796971 160.966017 \nL 268.392026 159.047804 \nL 271.014257 156.862591 \nL 273.641637 154.415271 \nL 276.247997 151.716567 \nL 278.802978 148.784067 \nL 281.272146 145.643172 \nL 283.617315 142.327847 \nL 285.797085 138.881038 \nL 287.767695 135.354637 \nL 289.484159 131.808912 \nL 290.901693 128.311181 \nL 291.977432 124.933845 \nL 292.672342 121.751645 \nL 292.953263 118.838402 \nL 292.794869 116.263334 \nL 292.181503 114.087389 \nL 291.108577 112.359785 \nL 289.583476 111.115361 \nL 287.625832 110.372788 \nL 285.267052 110.134108 \nL 282.549143 110.385365 \nL 279.522933 111.098529 \nL 276.245828 112.234182 \nL 272.77925 113.744754 \nL 269.186041 115.577964 \nL 265.528031 117.67996 \nL 261.863841 119.998146 \nL 258.247187 122.483206 \nL 254.7256 125.090593 \nL 251.339685 127.781333 \nL 248.122801 130.522246 \nL 245.101144 133.285795 \nL 242.294129 136.049607 \nL 239.715001 138.795864 \nL 237.371587 141.510584 \nL 235.267102 144.182934 \nL 233.400983 146.804576 \nL 231.769707 149.369074 \nL 230.367524 151.871418 \nL 229.187125 154.307607 \nL 228.220246 156.674323 \nL 227.458149 158.968673 \nL 226.892045 161.187958 \nL 226.513429 163.329508 \nL 226.314342 165.390547 \nL 226.287571 167.368073 \nL 226.426794 169.258756 \nL 226.726681 171.058829 \nL 227.182949 172.764019 \nL 227.792393 174.369406 \nL 228.552879 175.869368 \nL 229.463323 177.257435 \nL 230.523639 178.526205 \nL 231.734675 179.667202 \nL 233.098118 180.670741 \nL 234.616395 181.525821 \nL 236.292534 182.219957 \nL 238.130005 182.739056 \nL 240.132523 183.067309 \nL 242.303823 183.187083 \nL 244.64737 183.07884 \nL 247.166033 182.721169 \nL 249.861676 182.090839 \nL 252.734687 181.162985 \nL 255.78341 179.911498 \nL 259.003504 178.309531 \nL 262.387179 176.330346 \nL 265.922358 173.948423 \nL 269.591764 171.140965 \nL 273.371907 167.889802 \nL 277.232093 164.183771 \nL 281.133452 160.021458 \nL 285.028116 155.414369 \nL 288.858615 150.390203 \nL 292.5577 144.99607 \nL 296.048733 139.301255 \nL 299.246804 133.398906 \nL 302.060746 127.406209 \nL 304.396233 121.462366 \nL 306.159837 115.723939 \nL 307.264125 110.357351 \nL 307.633316 105.528866 \nL 307.209189 101.392729 \nL 305.956532 98.078901 \nL 303.867458 95.682027 \nL 300.963935 94.253385 \nL 297.298008 93.797249 \nL 292.949525 94.272345 \nL 288.021486 95.598053 \nL 282.633659 97.664377 \nL 276.915071 100.34379 \nL 270.9964 103.503065 \nL 265.003002 107.01362 \nL 259.049262 110.75923 \nL 253.234529 114.640706 \nL 247.640816 118.577878 \nL 242.332011 122.509263 \nL 237.354393 126.390321 \nL 232.738054 130.19081 \nL 228.4989 133.891881 \nL 224.640927 137.48332 \nL 221.158549 140.961105 \nL 218.038809 144.325378 \nL 215.263369 147.578941 \nL 212.810237 150.726089 \nL 210.65521 153.771811 \nL 208.77305 156.721279 \nL 207.138392 159.579516 \nL 205.726444 162.351225 \nL 204.51349 165.040697 \nL 203.477237 167.651803 \nL 201.853992 172.652405 \nL 200.712806 177.376639 \nL 199.93792 181.843717 \nL 199.439493 186.069802 \nL 199.150078 190.068907 \nL 199.005125 195.669073 \nL 199.119002 200.824186 \nL 199.441101 205.567464 \nL 199.959966 209.927904 \nL 200.694409 213.929817 \nL 201.325166 216.407938 \nL 202.091488 218.738526 \nL 203.019335 220.922896 \nL 204.141379 222.959411 \nL 205.498156 224.842287 \nL 207.139561 226.559862 \nL 209.126683 228.092037 \nL 211.533975 229.406487 \nL 212.92271 229.967308 \nL 214.451725 230.45313 \nL 216.135214 230.853603 \nL 217.98868 231.156074 \nL 220.029011 231.345127 \nL 222.27452 231.402042 \nL 224.744962 231.304147 \nL 227.461515 231.024076 \nL 230.446687 230.528922 \nL 233.724136 229.779275 \nL 237.318376 228.728181 \nL 241.254304 227.320044 \nL 245.556504 225.489543 \nL 250.248257 223.160665 \nL 255.350177 220.246048 \nL 260.87835 216.64689 \nL 266.841857 212.253777 \nL 273.239613 206.949013 \nL 280.056302 200.611056 \nL 287.257468 193.121938 \nL 294.783671 184.378543 \nL 302.543896 174.308554 \nL 310.408693 162.891488 \nL 318.203738 150.184413 \nL 325.705092 136.350246 \nL 332.637916 121.684461 \nL 338.680859 106.633169 \nL 343.478401 91.793182 \nL 346.663012 77.884138 \nL 347.8875 65.685831 \nL 346.865271 55.942062 \nL 343.413084 49.245 \nL 337.487672 45.926849 \nL 329.206612 45.991166 \nL 318.845925 49.109475 \nL 306.812292 54.687903 \nL 293.595102 61.983774 \nL 279.709306 70.235914 \nL 251.810914 87.073161 \nL 238.5449 94.789853 \nL 226.076086 101.727347 \nL 214.548623 107.810928 \nL 204.032968 113.048406 \nL 194.542879 117.497223 \nL 186.051697 121.239642 \nL 178.50624 124.366052 \nL 171.837735 126.96487 \nL 160.824666 130.894681 \nL 152.401242 133.562053 \nL 146.015235 135.353829 \nL 139.278546 136.971343 \nL 133.900793 137.98706 \nL 129.63325 138.721379 \nL 129.421445 138.961582 \nL 129.499038 139.287503 \nL 130.736249 141.777738 \nL 130.683588 142.314189 \nL 130.465906 142.567344 \nL 130.104601 142.661486 \nL 129.623795 142.581419 \nL 128.862173 142.204499 \nL 128.069053 141.560374 \nL 127.374727 140.740908 \nL 126.904855 139.877965 \nL 126.756493 139.122781 \nL 126.886406 138.713575 \nL 127.220224 138.491821 \nL 127.732142 138.485277 \nL 128.376984 138.699781 \nL 129.338878 139.298251 \nL 130.268917 140.165959 \nL 131.010346 141.167201 \nL 131.436596 142.145714 \nL 131.50035 142.771015 \nL 131.330029 143.23778 \nL 130.933329 143.498483 \nL 130.337077 143.520208 \nL 129.586094 143.288234 \nL 128.741132 142.809249 \nL 127.875431 142.11347 \nL 126.828778 140.945175 \nL 126.228872 139.990123 \nL 125.865732 139.071238 \nL 125.788988 138.285393 \nL 125.909158 137.879251 \nL 126.165739 137.592466 \nL 126.550655 137.440474 \nL 127.049433 137.432254 \nL 127.965475 137.692165 \nL 129.004332 138.257192 \nL 130.066142 139.075774 \nL 131.049305 140.073586 \nL 131.860934 141.162172 \nL 132.425021 142.247175 \nL 132.687858 143.235355 \nL 132.620812 144.040252 \nL 132.39052 144.437451 \nL 132.017622 144.701209 \nL 131.512824 144.816924 \nL 130.891754 144.774503 \nL 129.787799 144.405131 \nL 128.555767 143.679041 \nL 127.300911 142.639259 \nL 126.140723 141.36506 \nL 125.195299 139.969564 \nL 124.574563 138.591163 \nL 124.384519 137.755256 \nL 124.393292 137.035651 \nL 124.607494 136.47008 \nL 125.023424 136.088913 \nL 125.626857 135.91312 \nL 126.393604 135.952997 \nL 127.290848 136.207794 \nL 128.279115 136.666245 \nL 129.835972 137.688744 \nL 131.34659 139.02263 \nL 132.667771 140.545832 \nL 133.679058 142.126661 \nL 134.291151 143.634153 \nL 134.449002 144.537125 \nL 134.396905 145.31897 \nL 134.134118 145.949156 \nL 133.666486 146.400705 \nL 133.006305 146.65089 \nL 132.172224 146.68201 \nL 131.189197 146.482441 \nL 130.088435 146.047834 \nL 129.505331 145.743349 \nL 129.505331 145.743349 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pa813d11797\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.069615pt\" version=\"1.1\" viewBox=\"0 0 293.254083 285.069615\" width=\"293.254083pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T17:33:16.192691</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.069615 \nL 293.254083 285.069615 \nL 293.254083 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 34.279875 209.979127 \nL 121.790772 135.959263 \nL 120.848809 29.550495 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 65.080834 220.03872 \nL 150.936873 144.430884 \nL 151.242596 37.254434 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.575156 230.324766 \nL 180.684243 153.07727 \nL 182.290739 45.124233 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 128.786521 240.844998 \nL 211.051681 161.903885 \nL 214.014598 53.165307 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 161.739698 251.607505 \nL 242.058777 170.916424 \nL 246.436476 61.383308 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 35.041868 209.334605 \nL 32.75262 211.270934 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(16.196444 233.274)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 65.829093 219.379777 \nL 63.58107 221.359465 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(47.028953 243.546739)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 97.308867 229.650911 \nL 95.104517 231.675431 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(85.929265 254.051606)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 129.504824 240.155719 \nL 127.34673 242.226612 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(114.997829 264.796561)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 162.441685 250.902267 \nL 160.332576 253.021145 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(147.993226 275.789928)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 36.840108 84.07369 \nL 41.537934 195.757167 \nL 189.695031 243.259268 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 52.158678 72.894895 \nL 56.128678 183.526916 \nL 202.909518 229.697954 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 67.043215 62.032837 \nL 70.323667 171.628395 \nL 215.746985 216.523554 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.511908 51.474244 \nL 84.138787 160.048287 \nL 228.223342 203.719743 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 95.581943 41.206573 \nL 97.589086 148.77398 \nL 240.353614 191.271101 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.269573 31.217965 \nL 110.688825 137.793519 \nL 252.152003 179.163051 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 188.447017 242.85913 \nL 192.194261 244.060571 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(191.923774 264.168136)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 201.673996 229.309311 \nL 205.383685 230.476223 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(204.960922 250.406145)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 214.523756 216.145918 \nL 218.196492 217.279767 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(224.99699 237.03702)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 227.012208 203.352653 \nL 230.648587 204.454825 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(234.124252 224.044176)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 239.154378 190.914121 \nL 242.754991 191.985925 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(246.091144 211.411946)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 250.964472 178.815769 \nL 254.529901 179.858444 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(257.730442 199.125523)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.14356 154.120846 \nL 114.939415 113.79498 \nL 26.262456 186.291355 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.017588 135.034322 \nL 114.727043 95.326618 \nL 25.320575 166.732583 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.905206 115.651008 \nL 114.511529 76.584939 \nL 24.363483 146.857954 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.806734 95.963928 \nL 114.292801 57.563829 \nL 23.39081 126.659754 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.722503 75.965886 \nL 114.070788 38.256993 \nL 22.40217 106.130016 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.9496 153.782266 \nL 259.534344 154.798818 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.181825 159.155358)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 256.814068 134.700811 \nL 260.427535 135.70215 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.194716 140.107269)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 257.691973 115.322765 \nL 261.334627 116.308294 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.223309 120.763898)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 258.58363 95.64116 \nL 262.255945 96.610258 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.267971 101.118325)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 259.489366 75.648806 \nL 263.191828 76.600829 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 50 -->\n     <g transform=\"translate(273.329083 81.163413)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_21\">\n    <path clip-path=\"url(#p963855f2d1)\" d=\"M 140.902355 191.284367 \nL 141.106975 190.473457 \nL 141.594207 189.869843 \nL 142.340643 189.360054 \nL 143.972002 188.603656 \nL 158.379978 182.733603 \nL 163.376543 180.362333 \nL 169.497094 177.179225 \nL 176.914676 172.896245 \nL 181.153406 170.231047 \nL 185.757288 167.148462 \nL 190.722534 163.593798 \nL 196.029743 159.512724 \nL 201.637934 154.855901 \nL 207.47724 149.586002 \nL 213.440455 143.687754 \nL 219.373897 137.181501 \nL 225.068684 130.140313 \nL 230.254394 122.709707 \nL 234.59821 115.127302 \nL 237.713812 107.737126 \nL 239.185281 100.99015 \nL 238.610392 95.419933 \nL 235.664304 91.582892 \nL 230.176658 89.960026 \nL 222.203675 90.833907 \nL 212.066784 94.177424 \nL 200.330505 99.605761 \nL 187.711741 106.430967 \nL 162.655864 120.956495 \nL 151.277877 127.254154 \nL 141.044646 132.362485 \nL 132.024391 136.176282 \nL 124.17722 138.760004 \nL 117.407879 140.270007 \nL 111.603491 140.89352 \nL 106.655571 140.811548 \nL 102.470219 140.181944 \nL 98.97095 139.135575 \nL 96.097599 137.779282 \nL 93.803401 136.201371 \nL 92.051419 134.477162 \nL 90.810949 132.673495 \nL 90.054206 130.851735 \nL 89.753502 129.069329 \nL 89.879015 127.380076 \nL 90.397283 125.833458 \nL 91.270431 124.473346 \nL 92.45614 123.336493 \nL 93.908278 122.451125 \nL 95.578072 121.835916 \nL 97.415609 121.49959 \nL 99.371506 121.44114 \nL 101.398517 121.650691 \nL 103.452946 122.110903 \nL 105.495724 122.798706 \nL 107.493138 123.687153 \nL 109.417148 124.747234 \nL 111.2454 125.949503 \nL 112.960949 127.265395 \nL 114.551782 128.668219 \nL 116.010231 130.133822 \nL 117.332308 131.640945 \nL 118.517044 133.171354 \nL 120.481947 136.243664 \nL 121.934771 139.260036 \nL 122.919241 142.16474 \nL 123.481999 144.927392 \nL 123.665484 147.53444 \nL 123.503813 149.982483 \nL 123.020736 152.273304 \nL 122.228975 154.41023 \nL 121.13039 156.395357 \nL 119.716661 158.227205 \nL 117.970351 159.898479 \nL 115.866371 161.393589 \nL 113.374111 162.685616 \nL 110.460628 163.732545 \nL 108.836162 164.145717 \nL 107.095598 164.472638 \nL 105.236805 164.70163 \nL 103.258981 164.819111 \nL 101.163123 164.809444 \nL 98.952588 164.654834 \nL 96.633763 164.335309 \nL 94.216813 163.82881 \nL 91.716536 163.111442 \nL 89.15327 162.157959 \nL 86.553821 160.942569 \nL 83.952342 159.440085 \nL 81.391049 157.62756 \nL 78.920663 155.486407 \nL 76.60032 153.005061 \nL 74.496855 150.182049 \nL 72.683143 147.029367 \nL 71.235391 143.575783 \nL 70.229257 139.869626 \nL 69.734872 135.980444 \nL 69.811106 131.998835 \nL 70.49957 128.033882 \nL 71.819195 124.207855 \nL 73.762267 120.648259 \nL 76.292778 117.47798 \nL 79.347651 114.804706 \nL 82.840901 112.711347 \nL 86.670223 111.248963 \nL 90.725083 110.433529 \nL 94.895001 110.246841 \nL 99.076927 110.64127 \nL 103.180801 111.547173 \nL 107.132943 112.881505 \nL 110.877287 114.556248 \nL 114.374873 116.485455 \nL 117.602137 118.590441 \nL 120.548514 120.802932 \nL 123.213845 123.066392 \nL 125.605861 125.336009 \nL 127.737956 127.577745 \nL 129.627315 129.766907 \nL 132.756804 133.925753 \nL 135.158417 137.742164 \nL 136.991428 141.203757 \nL 138.397978 144.327695 \nL 139.965865 148.44617 \nL 142.908677 156.806644 \nL 144.070918 159.161046 \nL 144.970327 160.522471 \nL 146.010441 161.717819 \nL 147.228217 162.741094 \nL 148.664165 163.57994 \nL 150.363865 164.21462 \nL 152.379195 164.61647 \nL 154.769143 164.745812 \nL 157.599902 164.54926 \nL 160.943697 163.956531 \nL 164.875435 162.877048 \nL 169.465678 161.197233 \nL 172.025588 160.090258 \nL 174.767711 158.780262 \nL 177.692416 157.247423 \nL 180.795582 155.47176 \nL 184.06716 153.434088 \nL 187.48946 151.11738 \nL 191.035189 148.508628 \nL 194.665293 145.601287 \nL 198.326678 142.39836 \nL 201.950066 138.916115 \nL 205.44825 135.188277 \nL 208.715211 131.270369 \nL 211.626686 127.243664 \nL 214.042901 123.217782 \nL 215.814176 119.330744 \nL 216.789997 115.745058 \nL 216.831664 112.638528 \nL 215.827929 110.189033 \nL 213.711838 108.553975 \nL 210.475893 107.846832 \nL 206.18187 108.115511 \nL 200.961702 109.328224 \nL 195.007593 111.372192 \nL 188.552067 114.067418 \nL 181.841874 117.193185 \nL 168.561725 123.844139 \nL 156.572331 129.884908 \nL 146.539274 134.65065 \nL 138.535795 138.140889 \nL 122.288553 144.887563 \nL 119.649716 146.255266 \nL 116.409575 148.203979 \nL 111.638921 151.149283 \nL 109.651458 152.135383 \nL 107.523795 152.94827 \nL 105.2221 153.537986 \nL 102.732869 153.849293 \nL 100.064504 153.821819 \nL 97.250593 153.391397 \nL 95.807515 153.004811 \nL 94.354314 152.493666 \nL 92.904244 151.85104 \nL 91.472891 151.071107 \nL 90.078173 150.149614 \nL 88.740243 149.084416 \nL 87.481289 147.876056 \nL 86.32517 146.528399 \nL 85.296895 145.049216 \nL 84.421926 143.450727 \nL 83.725291 141.750016 \nL 83.230556 139.969216 \nL 82.958676 138.135448 \nL 82.926799 136.280392 \nL 83.147108 134.439495 \nL 83.625822 132.650791 \nL 84.362438 130.953369 \nL 85.349317 129.385599 \nL 86.571707 127.983257 \nL 88.008191 126.777674 \nL 89.631574 125.794163 \nL 91.410113 125.050809 \nL 93.309 124.557796 \nL 95.291959 124.317286 \nL 97.322789 124.323872 \nL 99.366791 124.565466 \nL 101.391911 125.024543 \nL 103.36961 125.679595 \nL 105.275399 126.50657 \nL 107.089084 127.480275 \nL 108.794746 128.575551 \nL 110.380526 129.768244 \nL 111.83826 131.035893 \nL 113.163016 132.358182 \nL 114.352606 133.717185 \nL 116.328197 136.485775 \nL 117.783744 139.245321 \nL 118.752902 141.931279 \nL 119.27414 144.503277 \nL 119.383826 146.937645 \nL 119.111965 149.221049 \nL 118.480006 151.345417 \nL 117.500099 153.303927 \nL 116.175436 155.087702 \nL 114.501412 156.682926 \nL 112.467577 158.067986 \nL 110.060521 159.210532 \nL 107.268022 160.064271 \nL 105.72515 160.36375 \nL 104.084972 160.565691 \nL 102.349324 160.658987 \nL 100.521688 160.631153 \nL 98.607616 160.468354 \nL 96.615223 160.155486 \nL 94.555705 159.676372 \nL 92.443901 159.014084 \nL 90.298849 158.151434 \nL 88.144306 157.071688 \nL 86.009195 155.7595 \nL 83.927872 154.202127 \nL 81.940155 152.390926 \nL 80.090996 150.323075 \nL 78.429694 148.003473 \nL 77.008557 145.446684 \nL 75.88094 142.678687 \nL 75.09866 139.738209 \nL 74.708873 136.677268 \nL 74.750625 133.560666 \nL 75.251361 130.464126 \nL 76.22383 127.470978 \nL 77.663821 124.667534 \nL 79.54915 122.137421 \nL 81.840173 119.955645 \nL 84.481873 118.182964 \nL 87.407345 116.861567 \nL 90.542228 116.012496 \nL 93.809549 115.635282 \nL 97.134338 115.709657 \nL 100.447537 116.198956 \nL 103.688865 117.054631 \nL 106.808513 118.221057 \nL 109.767761 119.640123 \nL 112.538686 121.255038 \nL 115.103224 123.013157 \nL 117.451857 124.867817 \nL 119.58213 126.779223 \nL 121.49716 128.71462 \nL 123.204268 130.647937 \nL 124.713755 132.559119 \nL 126.037889 134.433309 \nL 128.184104 138.032118 \nL 129.752622 141.397983 \nL 130.847165 144.519642 \nL 131.557869 147.405563 \nL 131.958236 150.074014 \nL 132.104816 152.547129 \nL 132.038338 154.847529 \nL 131.785426 156.996529 \nL 131.360398 159.013298 \nL 130.766831 160.914498 \nL 129.998763 162.714174 \nL 129.041464 164.423649 \nL 127.871802 166.051307 \nL 126.458246 167.602077 \nL 124.760603 169.076469 \nL 122.729625 170.468951 \nL 120.306719 171.765333 \nL 117.424142 172.93879 \nL 114.006327 173.943996 \nL 109.973407 174.708702 \nL 107.701867 174.968166 \nL 105.248693 175.122227 \nL 102.607105 175.148616 \nL 99.772825 175.02067 \nL 96.745178 174.70681 \nL 93.528459 174.170089 \nL 90.133627 173.36793 \nL 86.580322 172.25217 \nL 82.899206 170.769637 \nL 79.134543 168.863465 \nL 75.346845 166.475507 \nL 71.615314 163.550117 \nL 68.039591 160.039682 \nL 64.740204 155.912018 \nL 61.856876 151.159578 \nL 59.543825 145.809838 \nL 57.961288 139.935611 \nL 57.262986 133.663137 \nL 57.580069 127.175252 \nL 59.003265 120.706648 \nL 61.566282 114.529213 \nL 65.234244 108.927256 \nL 69.900734 104.16561 \nL 75.395528 100.456293 \nL 81.502315 97.931243 \nL 87.983001 96.627666 \nL 94.60335 96.489411 \nL 101.154714 97.383168 \nL 107.468339 99.124441 \nL 113.421248 101.506367 \nL 118.934899 104.325281 \nL 123.96912 107.399147 \nL 128.51388 110.577798 \nL 132.58093 113.745993 \nL 136.196512 116.821399 \nL 139.395594 119.749768 \nL 144.70363 125.053558 \nL 148.828415 129.569323 \nL 158.89066 140.995237 \nL 160.773228 142.577171 \nL 162.66121 143.754262 \nL 164.633006 144.550532 \nL 166.745116 144.976912 \nL 169.034453 145.03407 \nL 171.518807 144.71567 \nL 174.195467 144.012448 \nL 177.038096 142.917502 \nL 179.992267 141.433192 \nL 182.970489 139.579833 \nL 185.848258 137.405735 \nL 188.463452 134.997194 \nL 190.622193 132.485522 \nL 191.464707 131.244508 \nL 192.114365 130.046721 \nL 192.546795 128.919091 \nL 192.740557 127.888939 \nL 192.678417 126.982759 \nL 192.348602 126.224852 \nL 191.745869 125.635908 \nL 190.872329 125.231698 \nL 189.737853 125.021973 \nL 188.360044 125.009776 \nL 186.763663 125.191231 \nL 184.979623 125.555877 \nL 180.993997 126.765441 \nL 176.713129 128.464737 \nL 172.439105 130.459241 \nL 168.422307 132.577598 \nL 164.839029 134.696514 \nL 161.790178 136.744082 \nL 159.313971 138.688741 \nL 157.404287 140.523307 \nL 156.028598 142.250901 \nL 155.142478 143.875402 \nL 154.699914 145.396438 \nL 154.659863 146.807548 \nL 154.989901 148.096076 \nL 155.667818 149.243715 \nL 156.68184 150.227038 \nL 158.029933 151.017718 \nL 159.718431 151.582367 \nL 161.760022 151.882088 \nL 164.170937 151.871985 \nL 166.967031 151.500958 \nL 170.158215 150.712392 \nL 173.740661 149.446515 \nL 177.686095 147.645718 \nL 181.927802 145.264309 \nL 184.124276 143.848619 \nL 186.343729 142.284414 \nL 188.559324 140.577585 \nL 190.738692 138.738997 \nL 192.843733 136.785465 \nL 194.830658 134.740655 \nL 196.650456 132.6358 \nL 198.24986 130.510053 \nL 199.572909 128.410307 \nL 200.563187 126.390284 \nL 201.166725 124.508732 \nL 201.335488 122.826615 \nL 201.031184 121.403388 \nL 200.229103 120.292535 \nL 198.921447 119.53685 \nL 197.119675 119.164056 \nL 194.855367 119.183524 \nL 192.179269 119.584701 \nL 189.158498 120.337741 \nL 185.872113 121.396367 \nL 182.405668 122.702593 \nL 175.273092 125.802316 \nL 168.371534 129.155758 \nL 162.135502 132.41226 \nL 156.796106 135.395306 \nL 152.415339 138.06951 \nL 148.94327 140.478806 \nL 146.270831 142.693067 \nL 144.267726 144.776392 \nL 142.805496 146.774486 \nL 141.769521 148.713581 \nL 141.063862 150.604523 \nL 140.611963 152.447986 \nL 140.355179 154.238995 \nL 140.24512 156.810879 \nL 140.386613 159.222523 \nL 140.734759 161.452154 \nL 141.280644 163.482217 \nL 142.043734 165.296703 \nL 142.694157 166.377669 \nL 143.479916 167.347545 \nL 144.425925 168.196832 \nL 145.563202 168.912709 \nL 146.929734 169.477773 \nL 148.571501 169.868418 \nL 150.543557 170.052717 \nL 152.911012 169.98767 \nL 155.749594 169.615669 \nL 159.145217 168.860122 \nL 163.191553 167.620379 \nL 167.983949 165.76658 \nL 173.606982 163.136151 \nL 176.748139 161.470183 \nL 180.111565 159.535594 \nL 183.692011 157.305652 \nL 187.476095 154.754668 \nL 191.439809 151.860029 \nL 195.545606 148.60503 \nL 199.739174 144.982659 \nL 203.946068 141.000435 \nL 208.068559 136.686246 \nL 211.983239 132.094907 \nL 215.540213 127.314819 \nL 218.564901 122.473551 \nL 220.863743 117.74057 \nL 222.234992 113.324769 \nL 222.485362 109.464247 \nL 221.452227 106.40632 \nL 219.029239 104.377631 \nL 215.191063 103.547504 \nL 210.010875 103.991771 \nL 203.664148 105.667455 \nL 196.414442 108.408563 \nL 188.582115 111.947964 \nL 180.502825 115.961572 \nL 157.58132 127.835501 \nL 150.9824 131.061462 \nL 145.035846 133.782198 \nL 139.742388 136.010382 \nL 135.07184 137.794778 \nL 130.975966 139.20186 \nL 124.278827 141.162514 \nL 119.191013 142.383316 \nL 102.364159 145.890648 \nL 100.955013 145.936159 \nL 99.573442 145.821703 \nL 98.225839 145.52825 \nL 96.933081 145.043327 \nL 95.727901 144.363059 \nL 94.65196 143.494291 \nL 93.752267 142.456538 \nL 93.076764 141.283309 \nL 92.669188 140.022263 \nL 92.563545 138.733662 \nL 92.778905 137.486738 \nL 93.315409 136.354079 \nL 94.152298 135.404701 \nL 95.248625 134.696897 \nL 96.546554 134.27221 \nL 97.976776 134.151764 \nL 99.464965 134.335529 \nL 100.93813 134.804392 \nL 102.329848 135.524303 \nL 103.583799 136.45138 \nL 104.655454 137.536916 \nL 105.512182 138.731506 \nL 106.132226 139.987964 \nL 106.503026 141.262939 \nL 106.61938 142.517459 \nL 106.481768 143.716678 \nL 106.095072 144.829129 \nL 105.467812 145.825761 \nL 104.611966 146.678925 \nL 103.543353 147.361555 \nL 102.282571 147.84663 \nL 100.856368 148.107157 \nL 99.299323 148.116784 \nL 97.655603 147.851275 \nL 95.980447 147.291017 \nL 94.340884 146.424626 \nL 92.815095 145.25354 \nL 91.489755 143.79718 \nL 90.454831 142.097776 \nL 89.795684 140.223483 \nL 89.63001 139.249194 \nL 89.583086 138.268216 \nL 89.659719 137.295503 \nL 89.862536 136.346717 \nL 90.191779 135.437789 \nL 90.645173 134.584444 \nL 91.217899 133.801686 \nL 91.902678 133.103297 \nL 92.689946 132.501379 \nL 93.568121 132.005946 \nL 94.523977 131.624624 \nL 95.543034 131.362475 \nL 96.610023 131.221911 \nL 97.70933 131.202771 \nL 98.825429 131.302469 \nL 101.048659 131.837599 \nL 103.170724 132.76961 \nL 105.102499 134.023379 \nL 106.777642 135.51752 \nL 108.151813 137.173084 \nL 109.199496 138.91906 \nL 109.909712 140.694766 \nL 110.281608 142.449974 \nL 110.320622 144.143525 \nL 110.035539 145.74117 \nL 109.436582 147.213165 \nL 108.534523 148.531859 \nL 107.34081 149.66953 \nL 105.868609 150.596504 \nL 104.134755 151.27972 \nL 102.162588 151.681899 \nL 99.985555 151.7616 \nL 97.651433 151.474597 \nL 95.226746 150.777119 \nL 94.007331 150.262232 \nL 92.800612 149.631518 \nL 91.621602 148.882638 \nL 90.486809 148.01486 \nL 89.414081 147.029468 \nL 88.422353 145.93018 \nL 87.531276 144.723543 \nL 86.760736 143.419284 \nL 86.130259 142.030572 \nL 85.658304 140.574145 \nL 85.361503 139.070274 \nL 85.253847 137.542494 \nL 85.345887 136.017126 \nL 85.644039 134.522529 \nL 86.149994 133.088145 \nL 86.860368 131.743364 \nL 87.766582 130.516291 \nL 88.855019 129.432487 \nL 90.107484 128.513832 \nL 91.501892 127.777577 \nL 93.013177 127.235654 \nL 94.614318 126.894363 \nL 96.277418 126.754389 \nL 97.974745 126.811152 \nL 99.679671 127.055431 \nL 101.367448 127.4742 \nL 103.01579 128.051575 \nL 104.605267 128.769768 \nL 106.119498 129.610008 \nL 107.545164 130.55334 \nL 108.871905 131.581297 \nL 110.092097 132.676408 \nL 112.194239 135.005136 \nL 113.833511 137.429733 \nL 115.014908 139.866348 \nL 115.756754 142.254358 \nL 116.082956 144.551572 \nL 116.017443 146.728947 \nL 115.580626 148.765695 \nL 114.78755 150.645045 \nL 113.647375 152.350612 \nL 112.164003 153.86328 \nL 110.337687 155.158335 \nL 108.167719 156.20283 \nL 105.656316 156.953101 \nL 102.813997 157.352689 \nL 101.276023 157.399509 \nL 99.666738 157.331153 \nL 97.993289 157.136744 \nL 96.265024 156.80479 \nL 94.493841 156.323426 \nL 92.694551 155.68076 \nL 90.885197 154.865355 \nL 89.087327 153.866828 \nL 87.326153 152.676639 \nL 85.630549 151.288995 \nL 84.032878 149.701927 \nL 82.568508 147.918433 \nL 81.275045 145.947666 \nL 80.191187 143.806032 \nL 79.355232 141.518081 \nL 78.80324 139.117014 \nL 78.566948 136.644647 \nL 78.671582 134.150661 \nL 79.133757 131.69108 \nL 79.959698 129.325923 \nL 81.144038 127.116152 \nL 82.669361 125.120195 \nL 84.506652 123.39034 \nL 86.616639 121.969414 \nL 88.951924 120.888198 \nL 91.459689 120.163852 \nL 94.084645 119.79952 \nL 96.771946 119.785153 \nL 99.469765 120.099306 \nL 102.131309 120.711659 \nL 104.716229 121.585836 \nL 107.19135 122.682262 \nL 109.530837 123.960666 \nL 111.715892 125.382185 \nL 113.73412 126.910849 \nL 115.578702 128.514553 \nL 117.247474 130.165536 \nL 118.742004 131.840474 \nL 120.066727 133.520302 \nL 121.228157 135.189844 \nL 123.09365 138.454078 \nL 124.409156 141.571697 \nL 125.24601 144.513695 \nL 125.667993 147.271559 \nL 125.726987 149.848579 \nL 125.461186 152.253837 \nL 124.894861 154.498251 \nL 124.038941 156.59185 \nL 122.891983 158.541788 \nL 121.44126 160.35065 \nL 119.663929 162.014627 \nL 117.528369 163.521313 \nL 114.995961 164.846742 \nL 112.023808 165.951425 \nL 108.569135 166.775136 \nL 106.649202 167.055562 \nL 104.596455 167.230436 \nL 102.40947 167.283373 \nL 100.089026 167.195399 \nL 97.638821 166.944793 \nL 95.066326 166.507032 \nL 92.383766 165.8549 \nL 89.609225 164.958814 \nL 86.767852 163.787465 \nL 83.89307 162.30889 \nL 81.027714 160.492087 \nL 78.224953 158.309274 \nL 75.54873 155.738855 \nL 73.073505 152.769104 \nL 70.882975 149.402461 \nL 69.067459 145.660069 \nL 67.719753 141.586093 \nL 66.92936 137.250988 \nL 66.775365 132.752803 \nL 67.318508 128.215529 \nL 68.593498 123.783766 \nL 70.602761 119.613487 \nL 73.313006 115.859568 \nL 76.655587 112.66159 \nL 80.531011 110.130183 \nL 84.817145 108.336404 \nL 89.379781 107.306088 \nL 94.083837 107.020198 \nL 98.803384 107.420716 \nL 103.4292 108.420552 \nL 107.873238 109.915347 \nL 112.070068 111.794913 \nL 115.975916 113.952784 \nL 119.5661 116.29299 \nL 122.831681 118.733877 \nL 125.775944 121.209492 \nL 128.411134 123.669086 \nL 130.755658 126.075511 \nL 132.831812 128.403055 \nL 136.277567 132.762314 \nL 138.948317 136.688135 \nL 141.033233 140.183402 \nL 143.419246 144.688501 \nL 146.464486 150.545904 \nL 147.629491 152.401212 \nL 148.87016 154.006701 \nL 150.244464 155.369542 \nL 151.805899 156.487727 \nL 153.606286 157.349608 \nL 155.697742 157.933134 \nL 158.133703 158.204759 \nL 160.968686 158.11808 \nL 164.256318 157.612477 \nL 168.044815 156.612296 \nL 172.368778 155.027661 \nL 174.735469 153.985149 \nL 177.235718 152.758804 \nL 179.862888 151.336371 \nL 182.605641 149.706876 \nL 185.44685 147.861633 \nL 188.362405 145.795534 \nL 191.319964 143.508632 \nL 194.27773 141.008055 \nL 197.183421 138.310144 \nL 199.973575 135.442751 \nL 202.573461 132.447429 \nL 204.897909 129.381244 \nL 206.853338 126.3177 \nL 208.341336 123.346237 \nL 209.263975 120.569688 \nL 209.530806 118.099217 \nL 209.067231 116.046466 \nL 207.823417 114.513323 \nL 205.782502 113.580267 \nL 202.966565 113.295177 \nL 199.438774 113.664845 \nL 195.300684 114.651539 \nL 190.684524 116.175981 \nL 185.741486 118.126738 \nL 180.628021 120.374292 \nL 170.464966 125.244505 \nL 149.653525 135.731474 \nL 141.375483 140.043263 \nL 137.345558 142.369803 \nL 134.227923 144.456398 \nL 131.791809 146.41888 \nL 129.835111 148.324014 \nL 127.437497 151.132965 \nL 123.091312 156.542706 \nL 121.453897 158.228782 \nL 119.609228 159.821643 \nL 117.499308 161.294977 \nL 115.069547 162.615697 \nL 112.268561 163.740231 \nL 109.050036 164.609761 \nL 107.272179 164.92496 \nL 105.377367 165.144526 \nL 103.363921 165.254196 \nL 101.232091 165.23766 \nL 98.98461 165.076421 \nL 96.627366 164.749757 \nL 94.170168 164.234793 \nL 91.627611 163.506734 \nL 89.020019 162.539361 \nL 86.374413 161.30581 \nL 83.725425 159.779765 \nL 81.11607 157.937136 \nL 78.598202 155.758245 \nL 76.232488 153.230586 \nL 74.08766 150.352043 \nL 72.238829 147.134425 \nL 70.76467 143.606954 \nL 69.743383 139.819226 \nL 69.247497 135.842974 \nL 69.337825 131.771929 \nL 70.057198 127.71915 \nL 71.424763 123.81141 \nL 73.431848 120.180851 \nL 76.040295 116.954524 \nL 79.18383 114.243318 \nL 82.772545 112.131879 \nL 86.699927 110.671338 \nL 90.851385 109.876066 \nL 95.112954 109.724914 \nL 99.378925 110.166394 \nL 103.557535 111.126662 \nL 107.574311 112.518645 \nL 111.373178 114.250829 \nL 114.915769 116.234525 \nL 118.179493 118.389149 \nL 121.154981 120.645263 \nL 123.843339 122.945824 \nL 126.253553 125.245996 \nL 128.400183 127.512047 \nL 130.30147 129.719781 \nL 133.450601 133.900939 \nL 135.871067 137.723835 \nL 137.726572 141.180071 \nL 139.162514 144.289694 \nL 140.792783 148.373634 \nL 143.248687 154.83609 \nL 144.488014 157.369878 \nL 145.422763 158.830254 \nL 146.490193 160.111194 \nL 147.729735 161.20875 \nL 149.183212 162.112159 \nL 150.896539 162.802943 \nL 152.921039 163.253505 \nL 155.314239 163.42523 \nL 158.139885 163.266031 \nL 161.466594 162.707469 \nL 165.364301 161.661838 \nL 169.897022 160.020073 \nL 172.416863 158.935758 \nL 175.109857 157.652333 \nL 177.97515 156.151387 \nL 181.007378 154.414618 \nL 184.195301 152.424788 \nL 187.520188 150.167066 \nL 190.953998 147.630845 \nL 194.457393 144.812073 \nL 197.97773 141.716155 \nL 201.447177 138.36137 \nL 204.781306 134.782669 \nL 207.878549 131.035517 \nL 210.621059 127.19919 \nL 212.877598 123.378751 \nL 214.509073 119.704567 \nL 215.377139 116.328157 \nL 215.355915 113.413321 \nL 214.346125 111.122068 \nL 212.290063 109.596071 \nL 209.184728 108.93602 \nL 205.090022 109.182924 \nL 200.129039 110.306305 \nL 194.478919 112.203598 \nL 188.353104 114.712481 \nL 181.978294 117.634062 \nL 169.318511 123.906592 \nL 152.730855 132.186329 \nL 144.012095 136.255528 \nL 125.988593 144.268531 \nL 123.122997 145.833169 \nL 120.768482 147.324054 \nL 116.836266 150.179602 \nL 114.029798 152.160167 \nL 112.047285 153.345125 \nL 109.900163 154.373148 \nL 107.544605 155.195527 \nL 104.954536 155.75639 \nL 102.123363 155.991544 \nL 99.067945 155.828038 \nL 97.469277 155.571901 \nL 95.834627 155.185657 \nL 94.17562 154.658942 \nL 92.50666 153.981812 \nL 90.84513 153.145219 \nL 89.211501 152.14158 \nL 87.629354 150.965473 \nL 86.125233 149.614445 \nL 84.728324 148.089892 \nL 83.469903 146.39797 \nL 82.382512 144.550476 \nL 81.498854 142.565591 \nL 80.850447 140.468402 \nL 80.466034 138.291027 \nL 80.369886 136.072285 \nL 80.58008 133.856782 \nL 81.106956 131.693388 \nL 81.951888 129.633158 \nL 83.106568 127.726764 \nL 84.552909 126.021751 \nL 86.263626 124.559766 \nL 88.203493 123.37414 \nL 90.33115 122.488101 \nL 92.601278 121.913783 \nL 94.966926 121.652108 \nL 97.381753 121.693575 \nL 99.802012 122.019729 \nL 102.1881 122.605134 \nL 104.505641 123.419553 \nL 106.726068 124.430135 \nL 108.826774 125.60335 \nL 110.790906 126.906621 \nL 112.606903 128.309514 \nL 114.267864 129.784549 \nL 115.770828 131.307623 \nL 117.116056 132.858153 \nL 118.306318 134.418985 \nL 119.346258 135.976165 \nL 120.999757 139.037706 \nL 122.131532 141.981808 \nL 122.798402 144.775938 \nL 123.051502 147.406124 \nL 122.932068 149.869351 \nL 122.469494 152.168025 \nL 121.68086 154.306006 \nL 120.571353 156.285638 \nL 119.135221 158.105293 \nL 117.357116 159.757039 \nL 115.213879 161.224086 \nL 112.677003 162.477694 \nL 109.716258 163.473386 \nL 108.068305 163.85519 \nL 106.305141 164.146339 \nL 104.425391 164.334709 \nL 102.429157 164.406266 \nL 100.318513 164.34496 \nL 98.098093 164.132648 \nL 95.775764 163.749129 \nL 93.363396 163.172296 \nL 90.877703 162.378477 \nL 88.341117 161.343033 \nL 85.782671 160.041256 \nL 83.238777 158.449677 \nL 80.753803 156.547816 \nL 78.380301 154.32042 \nL 76.178688 151.760172 \nL 74.216211 148.870761 \nL 72.564963 145.670093 \nL 71.298857 142.193289 \nL 70.489498 138.494958 \nL 70.201131 134.650156 \nL 70.485005 130.753405 \nL 71.373793 126.915286 \nL 72.876852 123.256418 \nL 74.977175 119.899173 \nL 77.630747 116.957934 \nL 80.768696 114.529213 \nL 84.302093 112.683254 \nL 88.128808 111.458452 \nL 92.141355 110.859572 \nL 96.234607 110.859839 \nL 100.312327 111.40636 \nL 104.291861 112.427624 \nL 108.106738 113.84173 \nL 111.707356 115.564052 \nL 115.060125 117.513461 \nL 118.145654 119.61669 \nL 120.956387 121.810838 \nL 123.494143 124.044268 \nL 125.767786 126.276345 \nL 127.791178 128.476408 \nL 129.58147 130.622352 \nL 132.539955 134.697178 \nL 134.801844 138.439503 \nL 136.519368 141.840402 \nL 137.827433 144.917605 \nL 139.264854 148.990543 \nL 142.460721 158.994919 \nL 143.539731 161.166991 \nL 144.39364 162.427744 \nL 145.391949 163.536565 \nL 146.569314 164.485978 \nL 147.964892 165.262688 \nL 149.623732 165.846447 \nL 151.597972 166.208411 \nL 153.94774 166.308903 \nL 156.741447 166.094527 \nL 160.054973 165.494658 \nL 163.968806 164.417542 \nL 168.561683 162.746763 \nL 171.134061 161.645164 \nL 173.898405 160.339724 \nL 176.857151 158.809146 \nL 180.008507 157.031536 \nL 183.34498 154.985272 \nL 186.851616 152.650308 \nL 190.503921 150.009987 \nL 194.265504 147.053489 \nL 198.085564 143.779008 \nL 201.896346 140.197672 \nL 205.610903 136.338118 \nL 209.121622 132.251463 \nL 212.300097 128.016118 \nL 214.999179 123.7415 \nL 217.058041 119.569372 \nL 218.311061 115.67113 \nL 218.600932 112.239377 \nL 217.795546 109.472591 \nL 215.807166 107.552975 \nL 212.610681 106.619882 \nL 208.256818 106.743526 \nL 202.875856 107.905993 \nL 196.668862 109.996156 \nL 189.886673 112.822358 \nL 182.800591 116.141176 \nL 168.724091 123.249452 \nL 156.010922 129.677798 \nL 145.40144 134.663483 \nL 136.970023 138.209554 \nL 130.443493 140.675366 \nL 119.972746 144.49584 \nL 116.05558 146.22267 \nL 108.230614 150.086854 \nL 106.272745 150.757301 \nL 104.205097 151.226681 \nL 102.014108 151.447029 \nL 99.708105 151.368885 \nL 97.318395 150.943258 \nL 94.901002 150.125196 \nL 92.538028 148.879634 \nL 91.409731 148.090309 \nL 90.337366 147.189821 \nL 89.33784 146.180687 \nL 88.42893 145.06795 \nL 87.628874 143.859512 \nL 86.95584 142.566393 \nL 86.427317 141.202892 \nL 86.059426 139.786597 \nL 85.866181 138.338231 \nL 85.858759 136.881284 \nL 86.044808 135.441439 \nL 86.427858 134.045783 \nL 87.006901 132.721838 \nL 87.776176 131.496482 \nL 88.725185 130.394813 \nL 89.838983 129.439054 \nL 91.098682 128.647592 \nL 92.482194 128.034251 \nL 93.965103 127.607797 \nL 95.521624 127.371818 \nL 97.125578 127.324849 \nL 98.751298 127.460812 \nL 100.374426 127.769672 \nL 101.972558 128.238228 \nL 103.525704 128.850974 \nL 105.016573 129.590954 \nL 106.430696 130.440562 \nL 107.756407 131.382227 \nL 108.984701 132.398967 \nL 111.124965 134.595018 \nL 112.823194 136.917155 \nL 114.075959 139.277332 \nL 114.895359 141.609867 \nL 115.301219 143.86762 \nL 115.31525 146.017248 \nL 114.957152 148.0345 \nL 114.242414 149.90001 \nL 113.181501 151.595666 \nL 111.780219 153.101429 \nL 110.041122 154.392522 \nL 107.965981 155.436817 \nL 105.559423 156.19253 \nL 102.833956 156.606308 \nL 101.359294 156.664861 \nL 99.816609 156.612254 \nL 98.212914 156.438416 \nL 96.557253 156.132765 \nL 94.861033 155.684426 \nL 93.138321 155.082544 \nL 91.406147 154.316736 \nL 89.684738 153.377639 \nL 87.997643 152.257605 \nL 86.371738 150.951533 \nL 84.837045 149.45782 \nL 83.426318 147.779366 \nL 82.174332 145.924647 \nL 81.116889 143.908675 \nL 80.289473 141.753786 \nL 79.725638 139.490116 \nL 79.45516 137.155587 \nL 79.502083 134.795298 \nL 79.882837 132.46023 \nL 80.604606 130.20524 \nL 81.664175 128.08644 \nL 83.047417 126.158143 \nL 84.729545 124.469674 \nL 86.676171 123.062364 \nL 88.845057 121.967106 \nL 91.188431 121.202749 \nL 93.655583 120.775541 \nL 96.195486 120.679538 \nL 98.759189 120.898025 \nL 101.301779 121.405562 \nL 103.783819 122.170433 \nL 106.172178 123.157176 \nL 108.440372 124.328929 \nL 110.568427 125.64941 \nL 112.542425 127.084456 \nL 114.353828 128.603035 \nL 115.998679 130.177859 \nL 117.476783 131.785604 \nL 118.790894 133.406856 \nL 119.945979 135.025859 \nL 121.806188 138.210136 \nL 123.118892 141.270602 \nL 123.948639 144.172069 \nL 124.354414 146.90062 \nL 124.384807 149.454973 \nL 124.075787 151.840357 \nL 123.450124 154.064268 \nL 122.517756 156.133471 \nL 121.276659 158.051703 \nL 119.713987 159.817646 \nL 117.807446 161.422769 \nL 115.527031 162.84874 \nL 112.83748 164.064115 \nL 109.701987 165.020065 \nL 107.956465 165.379456 \nL 106.08804 165.645073 \nL 104.094809 165.80343 \nL 101.976516 165.838867 \nL 99.735125 165.733396 \nL 97.375486 165.46661 \nL 94.906128 165.015702 \nL 92.340141 164.355637 \nL 89.696172 163.459531 \nL 86.999452 162.299359 \nL 84.282833 160.847016 \nL 81.587697 159.075881 \nL 78.964618 156.962936 \nL 76.473601 154.491469 \nL 74.183609 151.654363 \nL 72.171196 148.457792 \nL 70.517985 144.925062 \nL 69.306834 141.100079 \nL 68.61669 137.049847 \nL 68.516373 132.865139 \nL 69.057839 128.658646 \nL 70.269732 124.560035 \nL 72.152301 120.707859 \nL 74.674675 117.238888 \nL 77.775329 114.276172 \nL 81.365957 111.91765 \nL 85.338385 110.227263 \nL 89.573431 109.230161 \nL 93.950375 108.912791 \nL 98.355553 109.227515 \nL 102.689015 110.100683 \nL 106.868678 111.442349 \nL 110.831978 113.155976 \nL 114.535443 115.14675 \nL 117.952795 117.327674 \nL 121.072266 119.623327 \nL 123.893647 121.971474 \nL 126.425442 124.323076 \nL 128.682357 126.641195 \nL 130.683206 128.899328 \nL 134.002883 133.170668 \nL 136.562986 137.065232 \nL 138.536212 140.573559 \nL 140.076462 143.716849 \nL 142.357612 149.042725 \nL 144.194015 153.302748 \nL 145.604037 155.912556 \nL 146.655873 157.398217 \nL 147.849656 158.684578 \nL 149.229404 159.766963 \nL 150.840777 160.632825 \nL 152.732809 161.260766 \nL 154.959074 161.619118 \nL 157.578072 161.664016 \nL 160.652446 161.3371 \nL 164.246332 160.56308 \nL 168.419747 159.247882 \nL 173.218359 157.278689 \nL 175.858431 156.009423 \nL 178.656367 154.528461 \nL 181.604662 152.819849 \nL 184.689884 150.869158 \nL 187.891179 148.664832 \nL 191.178632 146.199959 \nL 194.511515 143.474508 \nL 197.836607 140.498001 \nL 201.086714 137.292607 \nL 204.179757 133.8964 \nL 207.018734 130.366507 \nL 209.493101 126.781553 \nL 211.482021 123.242658 \nL 212.860011 119.872051 \nL 213.505159 116.808356 \nL 213.309855 114.197762 \nL 212.193183 112.181038 \nL 210.113451 110.877269 \nL 207.078603 110.36662 \nL 203.151908 110.675599 \nL 198.45077 111.768743 \nL 193.13775 113.549893 \nL 187.404816 115.873844 \nL 181.453713 118.566382 \nL 169.639174 124.35596 \nL 154.087065 132.133303 \nL 142.385296 137.699272 \nL 132.148911 142.542618 \nL 128.687156 144.416557 \nL 125.952794 146.14582 \nL 123.711529 147.809397 \nL 120.865678 150.24111 \nL 117.309708 153.324535 \nL 115.407151 154.74145 \nL 113.323645 156.028474 \nL 111.004546 157.142818 \nL 108.408486 158.033695 \nL 105.508487 158.639787 \nL 102.295609 158.886634 \nL 100.575527 158.848008 \nL 98.785486 158.684883 \nL 96.932832 158.383841 \nL 95.027775 157.930828 \nL 93.083804 157.311453 \nL 91.118084 156.511434 \nL 89.151835 155.517199 \nL 87.210605 154.316702 \nL 85.324407 152.900413 \nL 83.527664 151.26251 \nL 81.858847 149.402254 \nL 80.359757 147.32544 \nL 79.074396 145.045857 \nL 78.047353 142.586575 \nL 77.321758 139.980872 \nL 76.936835 137.272574 \nL 76.925226 134.51558 \nL 77.31031 131.772418 \nL 78.103799 129.111725 \nL 79.303947 126.604761 \nL 80.894645 124.321204 \nL 82.845631 122.324584 \nL 85.113864 120.667999 \nL 87.645967 119.390573 \nL 90.381467 118.515148 \nL 93.256448 118.047523 \nL 96.207198 117.977264 \nL 99.173455 118.279843 \nL 102.100972 118.919742 \nL 104.943268 119.85403 \nL 107.662523 121.035946 \nL 110.229736 122.418113 \nL 112.624302 123.95507 \nL 114.833186 125.605139 \nL 116.849856 127.331542 \nL 118.673144 129.102909 \nL 120.306109 130.893294 \nL 121.754996 132.681876 \nL 123.028309 134.452454 \nL 125.088954 137.89411 \nL 126.574797 141.157399 \nL 127.571837 144.217441 \nL 128.156607 147.071261 \nL 128.391878 149.728006 \nL 128.325187 152.202595 \nL 127.988978 154.511754 \nL 127.401548 156.671586 \nL 126.568249 158.696032 \nL 125.48264 160.595788 \nL 124.127469 162.377296 \nL 122.47545 164.041553 \nL 120.48995 165.582428 \nL 118.125846 166.984208 \nL 115.330902 168.218052 \nL 112.048344 169.236957 \nL 110.206327 169.644516 \nL 108.221601 169.968943 \nL 106.088493 170.195903 \nL 103.802687 170.308317 \nL 101.361832 170.286034 \nL 98.76631 170.105523 \nL 96.020178 169.739637 \nL 93.132295 169.157505 \nL 90.11765 168.324635 \nL 86.998864 167.203334 \nL 83.807825 165.753592 \nL 80.587367 163.934588 \nL 77.392803 161.706983 \nL 74.293119 159.036209 \nL 71.371434 155.8968 \nL 68.724347 152.277761 \nL 66.459683 148.188743 \nL 64.692197 143.666459 \nL 63.536939 138.780347 \nL 63.100391 133.636237 \nL 63.469871 128.376408 \nL 64.70253 123.174692 \nL 66.815603 118.225781 \nL 69.780073 113.729158 \nL 73.519479 109.86948 \nL 77.914839 106.796648 \nL 82.815252 104.609453 \nL 88.052403 103.346185 \nL 93.456303 102.984093 \nL 98.869429 103.447314 \nL 104.157187 104.621013 \nL 109.213722 106.368312 \nL 113.963303 108.546588 \nL 118.358306 111.020635 \nL 122.375102 113.67149 \nL 126.009107 116.400929 \nL 129.269888 119.132425 \nL 132.176841 121.809642 \nL 134.755668 124.393607 \nL 139.047721 129.192628 \nL 142.391519 133.441729 \nL 145.022719 137.144742 \nL 151.343224 146.473383 \nL 152.900631 148.285853 \nL 154.531963 149.771902 \nL 156.310417 150.940648 \nL 158.298625 151.788989 \nL 160.551259 152.301772 \nL 163.116083 152.451959 \nL 166.033151 152.201087 \nL 169.331671 151.500426 \nL 173.023985 150.293688 \nL 177.095952 148.522457 \nL 181.493292 146.13615 \nL 183.781768 144.70255 \nL 186.104 143.108405 \nL 188.433718 141.358216 \nL 190.738672 139.461484 \nL 192.98026 137.433833 \nL 195.113469 135.298115 \nL 197.087171 133.085323 \nL 198.84497 130.835216 \nL 200.326702 128.59638 \nL 201.470684 126.425525 \nL 202.216752 124.385797 \nL 202.510007 122.543961 \nL 202.305097 120.966432 \nL 201.570612 119.714359 \nL 200.293111 118.838201 \nL 198.48016 118.372501 \nL 196.161763 118.331689 \nL 193.389757 118.707806 \nL 190.235004 119.470674 \nL 186.782636 120.570786 \nL 183.125934 121.944499 \nL 179.35971 123.520653 \nL 171.849617 126.999007 \nL 164.838727 130.524526 \nL 158.689903 133.803348 \nL 153.551744 136.73027 \nL 149.41662 139.326015 \nL 146.185924 141.666518 \nL 143.721175 143.833865 \nL 141.876783 145.892709 \nL 140.517961 147.884429 \nL 139.528706 149.830187 \nL 138.813889 151.736924 \nL 138.096171 154.519427 \nL 137.532004 158.053486 \nL 136.804837 165.09367 \nL 136.348908 168.443405 \nL 135.832157 170.869268 \nL 135.303761 172.563592 \nL 134.605444 174.170107 \nL 133.677477 175.707954 \nL 132.439591 177.197113 \nL 131.390029 178.172432 \nL 130.114211 179.139523 \nL 128.561988 180.101427 \nL 126.672333 181.057884 \nL 124.371416 182.002824 \nL 121.570753 182.920334 \nL 118.165913 183.778289 \nL 114.036739 184.518444 \nL 109.050877 185.041385 \nL 106.194278 185.173806 \nL 103.073954 185.184404 \nL 99.676463 185.037897 \nL 95.992139 184.690734 \nL 92.017167 184.089773 \nL 87.756317 183.171048 \nL 83.226437 181.858869 \nL 78.460826 180.065596 \nL 73.514431 177.692627 \nL 68.469714 174.633335 \nL 63.442731 170.778895 \nL 58.588513 166.028037 \nL 54.104245 160.301708 \nL 50.228151 153.562975 \nL 47.231432 145.841323 \nL 45.400718 137.258298 \nL 45.009589 128.04867 \nL 46.280474 118.568575 \nL 49.342405 109.281419 \nL 54.194357 100.715237 \nL 60.686354 93.393363 \nL 68.527828 87.75125 \nL 77.325125 84.061485 \nL 86.639626 82.390132 \nL 96.050176 82.598139 \nL 105.203102 84.385273 \nL 113.839427 87.35967 \nL 121.798481 91.110354 \nL 129.004408 95.264363 \nL 135.444654 99.520131 \nL 141.148033 103.65816 \nL 150.562992 111.07212 \nL 174.944265 131.293809 \nL 175.550636 132.026212 \nL 175.837792 132.621913 \nL 175.877865 133.137615 \nL 175.732799 133.611271 \nL 175.285203 134.291229 \nL 173.27736 136.849579 \nL 173.166628 137.346575 \nL 173.29944 137.72595 \nL 173.678535 137.960187 \nL 174.286535 138.027586 \nL 175.087214 137.914875 \nL 176.35824 137.483342 \nL 177.698714 136.767815 \nL 178.892762 135.862677 \nL 179.553674 135.147925 \nL 179.916134 134.487595 \nL 179.960098 134.116831 \nL 179.834043 133.826515 \nL 179.537761 133.633639 \nL 179.08065 133.549752 \nL 178.136764 133.637776 \nL 176.971244 133.971074 \nL 175.28471 134.727259 \nL 173.722501 135.708831 \nL 172.539989 136.757823 \nL 172.009501 137.499038 \nL 171.831008 138.13942 \nL 171.915195 138.486152 \nL 172.160525 138.753711 \nL 172.561044 138.930775 \nL 173.429823 139.006022 \nL 174.573254 138.832626 \nL 175.918127 138.401627 \nL 177.367345 137.72452 \nL 178.799857 136.839325 \nL 180.074914 135.814933 \nL 181.043343 134.750718 \nL 181.449194 134.078783 \nL 181.623668 133.481396 \nL 181.544712 132.994738 \nL 181.204308 132.649485 \nL 180.610446 132.467651 \nL 179.787522 132.460339 \nL 178.212863 132.772105 \nL 176.391059 133.425767 \nL 174.52345 134.336466 \nL 172.800962 135.403368 \nL 171.379071 136.52804 \nL 170.3668 137.624013 \nL 169.82778 138.618142 \nL 169.745443 139.19298 \nL 169.885866 139.677638 \nL 170.244695 140.056231 \nL 170.813508 140.31377 \nL 171.579985 140.436369 \nL 172.527647 140.411752 \nL 174.240817 140.07811 \nL 176.215516 139.374846 \nL 178.318107 138.31427 \nL 180.37316 136.950899 \nL 182.166531 135.392422 \nL 183.100473 134.323628 \nL 183.745346 133.299438 \nL 184.042601 132.383799 \nL 183.95054 131.638744 \nL 183.751819 131.347291 \nL 183.451175 131.117243 \nL 182.554993 130.856319 \nL 181.302199 130.872166 \nL 179.759768 131.15858 \nL 178.014553 131.689151 \nL 175.229756 132.850261 \nL 172.528928 134.300768 \nL 170.177848 135.881108 \nL 168.358734 137.462405 \nL 167.493934 138.468639 \nL 166.924696 139.409768 \nL 166.654936 140.266061 \nL 166.682133 141.018946 \nL 166.999578 141.649967 \nL 167.597823 142.140223 \nL 168.465312 142.470234 \nL 169.588195 142.620242 \nL 170.949372 142.570916 \nL 172.526859 142.304519 \nL 174.291541 141.806657 \nL 176.2045 141.06866 \nL 178.214184 140.090665 \nL 180.253867 138.885325 \nL 182.240089 137.481782 \nL 184.072979 135.929252 \nL 185.639555 134.29908 \nL 186.820933 132.683849 \nL 187.503881 131.191984 \nL 187.628277 130.528033 \nL 187.595921 129.937193 \nL 187.401197 129.432006 \nL 187.041735 129.023325 \nL 186.518703 128.719823 \nL 185.83697 128.527571 \nL 185.005097 128.449754 \nL 182.942283 128.635195 \nL 180.461121 129.243522 \nL 177.723579 130.205151 \nL 174.90036 131.429731 \nL 172.149833 132.823813 \nL 169.602938 134.304686 \nL 167.356023 135.807557 \nL 165.470872 137.286361 \nL 163.979649 138.710289 \nL 162.892169 140.058603 \nL 162.203446 141.315684 \nL 161.900277 142.467195 \nL 161.966286 143.497606 \nL 162.385337 144.388858 \nL 163.143442 145.119777 \nL 164.229358 145.665981 \nL 165.634053 146.000076 \nL 167.349148 146.092155 \nL 169.36434 145.910662 \nL 171.663788 145.423947 \nL 174.221391 144.602789 \nL 176.994997 143.424388 \nL 179.919787 141.878223 \nL 182.901513 139.973918 \nL 185.810951 137.750889 \nL 188.481813 135.288296 \nL 190.715225 132.712542 \nL 191.600118 131.43499 \nL 192.294092 130.197735 \nL 192.7715 129.02809 \nL 193.009479 127.954019 \nL 192.989283 127.002926 \nL 192.697579 126.200226 \nL 192.12762 125.56788 \nL 191.280143 125.122979 \nL 190.163884 124.876567 \nL 188.795611 124.832815 \nL 187.199646 124.988714 \nL 185.406864 125.334338 \nL 183.453249 125.853632 \nL 179.222396 127.326496 \nL 174.828597 129.211733 \nL 170.563027 131.314188 \nL 166.650087 133.477474 \nL 163.234514 135.599498 \nL 160.387775 137.627839 \nL 158.124965 139.544667 \nL 156.424283 141.350245 \nL 155.244212 143.050264 \nL 154.53651 144.648214 \nL 154.254954 146.14196 \nL 154.360546 147.522869 \nL 154.824179 148.776207 \nL 155.627538 149.881815 \nL 156.762873 150.814556 \nL 158.232007 151.544394 \nL 160.044745 152.036063 \nL 162.216646 152.248493 \nL 164.76593 152.134283 \nL 167.709133 151.639561 \nL 171.054911 150.70499 \nL 174.795324 149.268774 \nL 178.893948 147.273094 \nL 183.27048 144.675689 \nL 185.521418 143.146749 \nL 187.782561 141.46823 \nL 190.023408 139.648662 \nL 192.207555 137.702266 \nL 194.29261 135.649965 \nL 196.230435 133.52026 \nL 197.967903 131.349801 \nL 199.448204 129.183503 \nL 200.612872 127.073978 \nL 201.404493 125.080085 \nL 201.770126 123.264468 \nL 201.665178 121.690043 \nL 201.057483 120.415594 \nL 199.931114 119.490834 \nL 198.289358 118.951533 \nL 196.156346 118.815464 \nL 193.576872 119.0799 \nL 190.614221 119.721314 \nL 187.346138 120.697478 \nL 183.859427 121.951777 \nL 180.243888 123.419019 \nL 172.966255 126.726404 \nL 166.094853 130.150341 \nL 160.008462 133.385402 \nL 154.88024 136.304861 \nL 150.726447 138.90948 \nL 147.467352 141.261801 \nL 144.977678 143.437036 \nL 143.120374 145.497426 \nL 141.765928 147.484259 \nL 140.801617 149.419429 \nL 140.134568 151.310597 \nL 139.691354 153.15662 \nL 139.327653 155.828252 \nL 139.214526 158.361847 \nL 139.3277 161.490655 \nL 139.675185 164.306694 \nL 140.086072 166.202864 \nL 140.64706 167.907691 \nL 141.395489 169.413306 \nL 142.025182 170.300037 \nL 142.784151 171.086159 \nL 143.699163 171.762778 \nL 144.802974 172.317444 \nL 146.135448 172.732935 \nL 147.744822 172.985638 \nL 149.689082 173.043378 \nL 152.037283 172.862505 \nL 154.870522 172.384082 \nL 158.28204 171.529007 \nL 162.375406 170.192121 \nL 167.259087 168.235821 \nL 173.034459 165.484741 \nL 176.280922 163.745697 \nL 179.772744 161.725221 \nL 183.507464 159.39252 \nL 187.474313 156.717142 \nL 191.651443 153.67107 \nL 196.002599 150.231725 \nL 200.473366 146.386092 \nL 204.987083 142.136163 \nL 209.440853 137.505686 \nL 213.702182 132.548041 \nL 217.607214 127.354589 \nL 220.961804 122.062204 \nL 223.547062 116.857906 \nL 225.130927 111.977669 \nL 225.487125 107.695961 \nL 224.421428 104.303047 \nL 221.803008 102.069144 \nL 217.595643 101.198872 \nL 211.880652 101.784916 \nL 204.862652 103.774766 \nL 196.852181 106.964574 \nL 188.226107 111.027451 \nL 179.37515 115.570907 \nL 162.338909 124.608326 \nL 154.624079 128.550847 \nL 147.613409 131.912521 \nL 141.342284 134.661886 \nL 135.79657 136.831255 \nL 130.931481 138.489957 \nL 126.686334 139.72255 \nL 122.994712 140.614015 \nL 119.790731 141.241289 \nL 114.603707 141.951287 \nL 110.699732 142.229516 \nL 106.546375 142.287233 \nL 102.399754 142.091786 \nL 100.083576 141.77174 \nL 98.924402 141.414392 \nL 98.171579 140.960796 \nL 97.755462 140.443898 \nL 97.648284 139.928589 \nL 97.821172 139.495771 \nL 98.221772 139.221906 \nL 98.769197 139.159618 \nL 99.362349 139.324797 \nL 99.895746 139.693415 \nL 100.276486 140.207477 \nL 100.437563 140.786622 \nL 100.345851 141.341183 \nL 100.005206 141.784078 \nL 99.456178 142.040965 \nL 98.773093 142.059492 \nL 98.057809 141.818371 \nL 97.428501 141.33573 \nL 97.002128 140.673986 \nL 96.872931 140.121284 \nL 96.933488 139.580191 \nL 97.186655 139.107941 \nL 97.613935 138.757049 \nL 98.176859 138.568072 \nL 98.821541 138.56406 \nL 99.485339 138.747918 \nL 100.104353 139.102961 \nL 100.62018 139.596124 \nL 100.98512 140.182683 \nL 101.165363 140.811274 \nL 101.142531 141.42836 \nL 100.91403 141.981814 \nL 100.492796 142.423667 \nL 99.906841 142.712472 \nL 99.198591 142.815738 \nL 98.423761 142.712758 \nL 97.649156 142.398002 \nL 96.948702 141.884575 \nL 96.397207 141.206937 \nL 96.061844 140.421403 \nL 95.992347 139.603125 \nL 96.21178 138.838623 \nL 96.710375 138.214486 \nL 97.444656 137.804347 \nL 98.342603 137.657382 \nL 99.313789 137.791455 \nL 100.261901 138.192349 \nL 101.096599 138.818552 \nL 101.742396 139.609311 \nL 102.143739 140.493333 \nL 102.266701 141.396112 \nL 102.098574 142.245041 \nL 101.646674 142.972503 \nL 100.937407 143.517755 \nL 100.015986 143.828664 \nL 98.946623 143.864368 \nL 97.812272 143.599551 \nL 96.712526 143.030414 \nL 95.758033 142.181552 \nL 95.257812 141.487745 \nL 94.902148 140.721296 \nL 94.716115 139.915148 \nL 94.717304 139.107475 \nL 94.913763 138.339464 \nL 95.302624 137.652429 \nL 95.86968 137.084554 \nL 96.590051 136.667735 \nL 97.429921 136.424985 \nL 98.349103 136.368802 \nL 99.304076 136.50071 \nL 100.251019 136.811918 \nL 101.148519 137.284907 \nL 101.959641 137.895542 \nL 102.653266 138.615331 \nL 103.204728 139.413503 \nL 103.59586 140.258738 \nL 103.814646 141.120353 \nL 103.854672 141.969053 \nL 103.714536 142.777281 \nL 103.397367 143.519279 \nL 102.910522 144.17098 \nL 102.265512 144.709902 \nL 101.478168 145.115108 \nL 100.568996 145.367384 \nL 99.563627 145.44969 \nL 98.493274 145.348003 \nL 97.394984 145.052544 \nL 96.311513 144.559437 \nL 95.290552 143.872629 \nL 94.383122 143.005907 \nL 93.640987 141.98463 \nL 93.113058 140.846705 \nL 92.841052 139.642293 \nL 92.854884 138.431812 \nL 93.168511 137.282035 \nL 93.777052 136.260582 \nL 94.655932 135.429489 \nL 95.762359 134.838967 \nL 97.039062 134.522535 \nL 98.419645 134.494437 \nL 99.834549 134.749719 \nL 101.216658 135.266672 \nL 102.505755 136.010859 \nL 103.651358 136.939773 \nL 104.61396 138.007224 \nL 105.364917 139.166869 \nL 105.88541 140.37461 \nL 106.164919 141.589865 \nL 106.199615 142.775941 \nL 105.99095 143.89975 \nL 105.544621 144.931096 \nL 104.870037 145.841838 \nL 103.980312 146.605043 \nL 102.892772 147.194379 \nL 101.629935 147.583804 \nL 100.220842 147.747814 \nL 98.702584 147.662345 \nL 97.121757 147.306518 \nL 95.535498 146.665344 \nL 94.011592 145.733399 \nL 92.627073 144.519204 \nL 91.46484 143.049819 \nL 90.60788 141.374588 \nL 90.131262 139.566827 \nL 90.05456 138.642345 \nL 90.092705 137.721968 \nL 90.248668 136.820049 \nL 90.523287 135.951288 \nL 90.915123 135.130308 \nL 91.420413 134.371212 \nL 92.033117 133.687123 \nL 92.745041 133.08976 \nL 93.546063 132.589061 \nL 94.424428 132.192883 \nL 95.367093 131.906802 \nL 96.360131 131.734003 \nL 97.389127 131.675297 \nL 99.497272 131.892259 \nL 101.580812 132.522816 \nL 103.542562 133.50839 \nL 105.304402 134.777104 \nL 106.809038 136.253323 \nL 108.018733 137.864762 \nL 108.912191 139.546737 \nL 109.480656 141.243883 \nL 109.724076 142.909932 \nL 109.647837 144.506309 \nL 109.26036 146.000155 \nL 108.571639 147.362118 \nL 107.592748 148.564224 \nL 106.336255 149.577986 \nL 104.817527 150.372833 \nL 103.056865 150.915057 \nL 101.082402 151.167454 \nL 98.933656 151.089997 \nL 96.665417 150.641944 \nL 94.35147 149.785915 \nL 92.08724 148.494346 \nL 91.009654 147.681466 \nL 89.990086 146.758452 \nL 89.046033 145.728924 \nL 88.195614 144.599069 \nL 87.457139 143.377929 \nL 86.848574 142.077637 \nL 86.386923 140.713525 \nL 86.087558 139.304085 \nL 85.963489 137.870737 \nL 86.024672 136.437415 \nL 86.277371 135.029927 \nL 86.723651 133.675123 \nL 87.361022 132.399917 \nL 88.182314 131.230207 \nL 89.175786 130.189772 \nL 90.325478 129.299261 \nL 91.611794 128.575306 \nL 93.012259 128.029903 \nL 94.502415 127.670042 \nL 96.05676 127.497654 \nL 97.649687 127.509865 \nL 99.256336 127.699472 \nL 100.853329 128.055628 \nL 102.419339 128.564646 \nL 103.935496 129.21084 \nL 105.385612 129.977339 \nL 106.756264 130.84684 \nL 108.036729 131.802228 \nL 110.296719 133.906068 \nL 112.126293 136.171596 \nL 113.513942 138.503706 \nL 114.466562 140.829885 \nL 115.001229 143.097214 \nL 115.138781 145.267949 \nL 114.899355 147.314825 \nL 114.299665 149.216762 \nL 113.35177 150.955064 \nL 112.063068 152.510152 \nL 110.43737 153.858645 \nL 108.47702 154.970739 \nL 106.186138 155.807826 \nL 103.575173 156.320498 \nL 100.666959 156.447325 \nL 99.113772 156.343579 \nL 97.50443 156.115129 \nL 95.848941 155.751474 \nL 94.159768 155.24198 \nL 92.452109 154.576248 \nL 90.744165 153.744584 \nL 89.057315 152.738608 \nL 87.416197 151.551991 \nL 85.848622 150.181316 \nL 84.385289 148.627029 \nL 83.059265 146.894451 \nL 81.905166 144.994768 \nL 80.958033 142.945904 \nL 80.251908 140.773155 \nL 79.818157 138.509446 \nL 79.683619 136.195067 \nL 79.868727 133.876796 \nL 80.385767 131.606331 \nL 81.23749 129.438097 \nL 82.416228 127.426468 \nL 83.903715 125.622767 \nL 85.671667 124.072192 \nL 87.683095 122.811105 \nL 89.894241 121.865005 \nL 92.256965 121.247358 \nL 94.721296 120.959446 \nL 97.237897 120.991178 \nL 99.76024 121.322725 \nL 102.246316 121.926683 \nL 104.659799 122.770489 \nL 106.970668 123.818832 \nL 109.155352 125.03578 \nL 111.19648 126.386561 \nL 113.082349 127.838847 \nL 114.806217 129.363594 \nL 116.365524 130.935493 \nL 117.761088 132.53308 \nL 118.996345 134.138608 \nL 120.076661 135.737767 \nL 121.80004 138.874637 \nL 122.991985 141.883019 \nL 123.714524 144.731997 \nL 124.023225 147.409836 \nL 123.962955 149.915994 \nL 123.566012 152.255472 \nL 122.851732 154.434837 \nL 121.826958 156.459362 \nL 120.486977 158.330758 \nL 118.816737 160.045035 \nL 116.792362 161.590209 \nL 114.38316 162.943473 \nL 111.554523 164.067595 \nL 108.27236 164.906389 \nL 106.45232 165.194715 \nL 104.509988 165.379251 \nL 102.444921 165.445139 \nL 100.258726 165.375309 \nL 97.955702 165.150369 \nL 95.543565 164.748612 \nL 93.034296 164.146153 \nL 90.445066 163.31728 \nL 87.799229 162.23504 \nL 85.127314 160.872225 \nL 82.467918 159.202767 \nL 79.868404 157.203656 \nL 77.385198 154.857435 \nL 75.083497 152.155217 \nL 73.036151 149.100169 \nL 71.321485 145.711156 \nL 70.019903 142.026177 \nL 69.209235 138.104991 \nL 68.959003 134.030202 \nL 69.324041 129.906088 \nL 70.338189 125.854619 \nL 72.009025 122.008444 \nL 74.314624 118.501247 \nL 77.203163 115.456555 \nL 80.595757 112.976565 \nL 84.392331 111.132885 \nL 88.479671 109.960794 \nL 92.740434 109.457974 \nL 97.061706 109.587752 \nL 101.341995 110.28593 \nL 105.495967 111.469742 \nL 109.456749 113.047228 \nL 113.176124 114.925659 \nL 116.623131 117.018058 \nL 119.781708 119.247515 \nL 122.647922 121.5494 \nL 125.227187 123.871811 \nL 127.531746 126.174888 \nL 129.578511 128.429378 \nL 131.387315 130.614907 \nL 134.377135 134.731621 \nL 136.674376 138.477079 \nL 138.441608 141.852809 \nL 140.403766 146.28016 \nL 144.392008 155.971598 \nL 145.311913 157.543352 \nL 146.345946 158.928191 \nL 147.534886 160.125531 \nL 148.92057 161.127945 \nL 150.54783 161.920432 \nL 152.466022 162.479282 \nL 154.73004 162.77041 \nL 157.400621 162.747212 \nL 160.543484 162.34794 \nL 164.226553 161.492937 \nL 168.51408 160.082383 \nL 173.455818 157.996066 \nL 176.179312 156.657294 \nL 179.068783 155.097872 \nL 182.116543 153.300566 \nL 185.308571 151.249715 \nL 188.622886 148.932715 \nL 192.027736 146.341949 \nL 195.479688 143.477243 \nL 198.92174 140.348837 \nL 202.281714 136.980804 \nL 205.471217 133.414698 \nL 208.385644 129.713034 \nL 210.905735 125.961983 \nL 212.901299 122.272384 \nL 214.237599 118.778025 \nL 214.784712 115.630023 \nL 214.429637 112.986582 \nL 213.090159 110.997919 \nL 210.728664 109.787791 \nL 207.363172 109.434247 \nL 203.072657 109.953897 \nL 197.994229 111.294141 \nL 192.311566 113.336787 \nL 186.236082 115.913393 \nL 179.984614 118.829321 \nL 167.726013 124.927553 \nL 151.871919 132.813058 \nL 143.594407 136.682405 \nL 128.122892 143.719611 \nL 125.06675 145.388834 \nL 122.595486 146.964853 \nL 119.53136 149.247144 \nL 114.902121 152.798152 \nL 112.916738 154.051123 \nL 110.750478 155.149689 \nL 108.357674 156.045709 \nL 105.708992 156.683116 \nL 102.793395 156.996175 \nL 99.622525 156.908395 \nL 97.952833 156.68745 \nL 96.237501 156.333207 \nL 94.487704 155.83393 \nL 92.717591 155.178054 \nL 90.944549 154.354636 \nL 89.189422 153.353956 \nL 87.476593 152.168264 \nL 85.833958 150.792648 \nL 84.292668 149.226048 \nL 82.886637 147.472318 \nL 81.65174 145.541317 \nL 80.624692 143.4499 \nL 79.84158 141.222674 \nL 79.336115 138.892396 \nL 79.137661 136.499834 \nL 79.269206 134.092975 \nL 79.745427 131.725508 \nL 80.57109 129.454538 \nL 81.739996 127.337741 \nL 83.234635 125.430079 \nL 85.026677 123.780503 \nL 87.078268 122.42891 \nL 89.344055 121.403806 \nL 91.773693 120.72092 \nL 94.314611 120.382896 \nL 96.914687 120.380074 \nL 99.52463 120.692163 \nL 102.099878 121.290579 \nL 104.601876 122.14105 \nL 106.998791 123.206228 \nL 109.265678 124.448053 \nL 111.384221 125.829668 \nL 113.342153 127.316836 \nL 115.132505 128.878861 \nL 116.752756 130.489068 \nL 118.203971 132.124922 \nL 119.489984 133.767876 \nL 120.616662 135.403059 \nL 122.421863 138.606489 \nL 123.685092 141.673397 \nL 124.473036 144.57333 \nL 124.845493 147.295863 \nL 124.851017 149.842226 \nL 124.525041 152.219426 \nL 123.889531 154.436245 \nL 122.953494 156.500447 \nL 121.713908 158.41662 \nL 120.156858 160.184278 \nL 118.258847 161.795785 \nL 115.988434 163.233838 \nL 113.30852 164.468175 \nL 110.179872 165.451274 \nL 108.435734 165.827729 \nL 106.566676 166.112938 \nL 104.570203 166.29354 \nL 102.445381 166.353946 \nL 100.193402 166.276161 \nL 97.818253 166.039673 \nL 95.327512 165.621419 \nL 92.733255 164.99591 \nL 90.053063 164.135564 \nL 87.311125 163.011325 \nL 84.539323 161.593688 \nL 81.778259 159.854192 \nL 79.078043 157.767505 \nL 76.498665 155.314128 \nL 74.109738 152.483743 \nL 71.989289 149.279058 \nL 70.221399 145.719897 \nL 68.892449 141.847038 \nL 68.085957 137.72516 \nL 67.876192 133.444054 \nL 68.32107 129.11726 \nL 69.455171 124.877464 \nL 71.283996 120.868496 \nL 73.780576 117.234369 \nL 76.885389 114.106672 \nL 80.509934 111.592192 \nL 84.543658 109.762937 \nL 88.8632 108.650345 \nL 93.342448 108.244681 \nL 97.861854 108.499459 \nL 102.315758 109.339704 \nL 106.617054 110.672245 \nL 110.699151 112.396145 \nL 114.515639 114.411731 \nL 118.038343 116.627287 \nL 121.254486 118.963214 \nL 124.163551 121.353884 \nL 126.77424 123.74765 \nL 129.101808 126.105738 \nL 131.16583 128.400449 \nL 134.592977 132.732365 \nL 137.241559 136.6698 \nL 139.291301 140.204378 \nL 141.586796 144.805061 \nL 145.342748 152.872368 \nL 146.376348 154.617603 \nL 147.502547 156.143835 \nL 148.770614 157.454957 \nL 150.227993 158.546844 \nL 151.922736 159.406794 \nL 153.905305 160.012605 \nL 156.229663 160.331215 \nL 158.953395 160.316946 \nL 162.136433 159.909472 \nL 165.837604 159.031929 \nL 170.10785 157.590022 \nL 172.467377 156.623518 \nL 174.978448 155.473712 \nL 177.638799 154.125545 \nL 180.442072 152.564365 \nL 183.376675 150.776771 \nL 186.424488 148.751781 \nL 189.559413 146.482324 \nL 192.745834 143.967149 \nL 195.937109 141.213133 \nL 199.074215 138.237918 \nL 202.084819 135.072777 \nL 204.883062 131.765412 \nL 207.370457 128.382287 \nL 209.438316 125.009884 \nL 210.972158 121.754116 \nL 211.858312 118.737081 \nL 211.992753 116.090485 \nL 211.291652 113.945431 \nL 209.702523 112.419085 \nL 207.214263 111.599702 \nL 203.863944 111.532646 \nL 199.738296 112.210672 \nL 194.968676 113.571374 \nL 189.719658 115.503449 \nL 184.173067 117.861116 \nL 178.510444 120.483622 \nL 167.471625 125.923021 \nL 149.247167 134.993914 \nL 135.161478 141.93148 \nL 131.592347 143.957098 \nL 128.798017 145.817251 \nL 126.544998 147.601103 \nL 123.765353 150.214148 \nL 119.571865 154.387925 \nL 117.753169 155.935247 \nL 115.741717 157.368367 \nL 113.479362 158.650143 \nL 110.917526 159.73556 \nL 108.017795 160.568497 \nL 104.755045 161.07798 \nL 102.984765 161.184259 \nL 101.123602 161.17449 \nL 99.175497 161.03418 \nL 97.147037 160.747529 \nL 95.047984 160.297573 \nL 92.891826 159.666461 \nL 90.696361 158.835903 \nL 88.484256 157.787829 \nL 86.283544 156.505281 \nL 84.127968 154.973623 \nL 82.057106 153.182009 \nL 80.116141 151.125162 \nL 78.355193 148.805354 \nL 76.828075 146.23448 \nL 75.590386 143.436031 \nL 74.696953 140.446672 \nL 74.198631 137.317102 \nL 74.138683 134.11185 \nL 74.549032 130.907677 \nL 75.446802 127.790417 \nL 76.831661 124.850339 \nL 78.684386 122.1763 \nL 80.967055 119.84934 \nL 83.62494 117.93657 \nL 86.589968 116.486127 \nL 89.785316 115.524065 \nL 93.130554 115.053498 \nL 96.546662 115.056096 \nL 99.960349 115.495492 \nL 103.30728 116.321975 \nL 106.534056 117.47768 \nL 109.598989 118.901561 \nL 112.471878 120.533588 \nL 115.133058 122.317934 \nL 117.572023 124.20502 \nL 119.785835 126.152537 \nL 121.777544 128.125689 \nL 123.554703 130.096829 \nL 125.128071 132.044742 \nL 126.510512 133.953772 \nL 128.759455 137.614762 \nL 130.417184 141.031685 \nL 131.593344 144.193502 \nL 132.383582 147.109761 \nL 132.866409 149.800101 \nL 133.10295 152.287997 \nL 133.138217 154.597293 \nL 133.003022 156.750407 \nL 132.715977 158.767536 \nL 132.285261 160.66641 \nL 131.710015 162.462314 \nL 130.981289 164.168203 \nL 130.082562 165.794761 \nL 128.989855 167.350315 \nL 127.671493 168.840458 \nL 126.087589 170.267277 \nL 124.189353 171.627971 \nL 121.918402 172.912606 \nL 119.206362 174.100614 \nL 115.975287 175.155517 \nL 112.139758 176.017197 \nL 109.967797 176.3477 \nL 107.61221 176.590908 \nL 105.0635 176.727138 \nL 102.313883 176.73248 \nL 99.358215 176.578163 \nL 96.195196 176.229918 \nL 92.828907 175.64745 \nL 89.270691 174.784078 \nL 85.541453 173.586743 \nL 81.674308 171.996594 \nL 77.717552 169.950443 \nL 73.737708 167.383485 \nL 69.822352 164.233651 \nL 66.082141 160.447994 \nL 62.651279 155.991347 \nL 59.685432 150.857089 \nL 57.356039 145.079305 \nL 55.840099 138.744681 \nL 55.305142 132.001533 \nL 55.890226 125.062567 \nL 57.685213 118.197755 \nL 60.712243 111.715205 \nL 64.914007 105.930271 \nL 70.153046 101.127249 \nL 76.223831 97.521288 \nL 82.876007 95.229649 \nL 89.843829 94.259661 \nL 96.875185 94.516024 \nL 103.754231 95.824375 \nL 110.31436 97.963908 \nL 116.441339 100.700549 \nL 122.068939 103.814059 \nL 127.17023 107.11564 \nL 131.747576 110.455921 \nL 135.823333 113.725379 \nL 139.432239 116.849975 \nL 145.417958 122.505473 \nL 150.054368 127.285168 \nL 161.031252 139.009949 \nL 162.95141 140.559107 \nL 164.820372 141.688264 \nL 166.719034 142.432441 \nL 168.702924 142.813327 \nL 170.805119 142.842944 \nL 173.037553 142.527559 \nL 175.39086 141.872119 \nL 177.832998 140.885378 \nL 180.307276 139.585833 \nL 182.730646 138.008314 \nL 184.993612 136.210478 \nL 186.963433 134.27785 \nL 188.492406 132.325247 \nL 189.044792 131.384353 \nL 189.432495 130.49209 \nL 189.640371 129.667628 \nL 189.656067 128.929617 \nL 189.470783 128.295396 \nL 189.079938 127.780164 \nL 188.483691 127.396195 \nL 187.68725 127.152164 \nL 186.700929 127.052681 \nL 185.539938 127.098041 \nL 184.223877 127.284266 \nL 181.222261 128.04427 \nL 177.908276 129.233809 \nL 174.503554 130.727191 \nL 171.208696 132.399212 \nL 168.18283 134.145197 \nL 165.535623 135.889774 \nL 163.329864 137.585585 \nL 161.590422 139.206213 \nL 160.315499 140.737611 \nL 159.487338 142.170786 \nL 159.080938 143.496793 \nL 159.07036 144.703902 \nL 159.432764 145.776322 \nL 160.15059 146.693834 \nL 161.212268 147.431813 \nL 162.611751 147.961377 \nL 164.34706 148.249544 \nL 166.417843 148.259563 \nL 168.821861 147.951642 \nL 171.550172 147.284492 \nL 174.580786 146.218275 \nL 177.870638 144.719715 \nL 181.346023 142.770099 \nL 184.892341 140.376772 \nL 188.345063 137.587833 \nL 189.970034 136.075144 \nL 191.485486 134.508077 \nL 192.856539 132.910678 \nL 194.046484 131.311561 \nL 195.017912 129.743544 \nL 195.734201 128.242837 \nL 196.161289 126.847828 \nL 196.269677 125.597345 \nL 196.036525 124.528591 \nL 195.447661 123.674742 \nL 194.499252 123.062587 \nL 193.198971 122.710313 \nL 191.566379 122.625937 \nL 189.632457 122.806432 \nL 187.438231 123.237943 \nL 185.032597 123.896967 \nL 182.469582 124.752412 \nL 177.095055 126.906734 \nL 171.738173 129.405823 \nL 166.739238 131.999669 \nL 162.321988 134.523941 \nL 158.596859 136.900171 \nL 155.585821 139.111706 \nL 153.253239 141.174432 \nL 151.533094 143.113894 \nL 150.349012 144.951948 \nL 149.627174 146.701314 \nL 149.303636 148.3649 \nL 149.327799 149.937333 \nL 149.663479 151.406957 \nL 150.288624 152.757443 \nL 151.194374 153.968715 \nL 152.383878 155.017079 \nL 153.871054 155.874716 \nL 155.679309 156.508607 \nL 157.840084 156.879032 \nL 160.39093 156.937834 \nL 163.372636 156.626662 \nL 166.824686 155.875658 \nL 170.778054 154.603418 \nL 175.244038 152.719605 \nL 177.663455 151.519387 \nL 180.197637 150.132483 \nL 182.833968 148.549766 \nL 185.554269 146.764623 \nL 188.333739 144.774165 \nL 191.139879 142.580695 \nL 193.931487 140.193422 \nL 196.657854 137.630352 \nL 199.258348 134.920231 \nL 201.662573 132.104332 \nL 203.791402 129.237785 \nL 205.559097 126.390039 \nL 206.876808 123.643992 \nL 207.657503 121.093308 \nL 207.822281 118.837564 \nL 207.307692 116.975159 \nL 206.073312 115.594344 \nL 204.108501 114.763392 \nL 201.437058 114.521403 \nL 198.118581 114.871652 \nL 194.245725 115.779227 \nL 189.937379 117.173941 \nL 185.328635 118.958433 \nL 180.559173 121.019946 \nL 171.054633 125.523624 \nL 158.306863 131.948573 \nL 148.434765 137.078816 \nL 143.469691 139.816756 \nL 139.602529 142.184587 \nL 136.617419 144.327564 \nL 134.303452 146.35011 \nL 132.473201 148.314445 \nL 130.968398 150.250133 \nL 128.439231 154.056051 \nL 125.936406 157.721537 \nL 124.517894 159.470412 \nL 122.909502 161.144351 \nL 121.056135 162.72649 \nL 118.902856 164.195432 \nL 116.393718 165.522038 \nL 113.472006 166.665135 \nL 110.082412 167.565901 \nL 108.196431 167.900504 \nL 106.176111 168.140851 \nL 104.017884 168.271304 \nL 101.720069 168.273625 \nL 99.283526 168.126751 \nL 96.712459 167.806618 \nL 94.015361 167.286116 \nL 91.206125 166.535218 \nL 88.305281 165.521381 \nL 85.341329 164.21033 \nL 82.352087 162.567351 \nL 79.385928 160.559206 \nL 76.502685 158.156822 \nL 73.774018 155.338789 \nL 71.282875 152.095667 \nL 69.121714 148.4349 \nL 67.389141 144.385916 \nL 66.18475 140.00474 \nL 65.602177 135.377116 \nL 65.720776 130.619037 \nL 66.596705 125.873592 \nL 68.254749 121.30344 \nL 70.682359 117.078953 \nL 73.827381 113.363212 \nL 77.600371 110.295975 \nL 81.881545 107.979403 \nL 86.531367 106.468327 \nL 91.40297 105.766899 \nL 96.354292 105.832072 \nL 101.258067 106.582721 \nL 106.008502 107.912225 \nL 110.524372 109.701851 \nL 114.749017 111.832686 \nL 118.648069 114.19473 \nL 122.205939 116.692596 \nL 125.421854 119.248071 \nL 128.306058 121.800292 \nL 130.876479 124.304259 \nL 133.156012 126.728534 \nL 136.94661 131.26455 \nL 139.892301 135.333267 \nL 142.198752 138.93387 \nL 144.850997 143.531198 \nL 147.621463 148.380738 \nL 148.921483 150.336238 \nL 150.274924 152.010029 \nL 151.749008 153.413091 \nL 153.403495 154.546133 \nL 155.293824 155.399235 \nL 157.473251 155.951347 \nL 159.993795 156.169537 \nL 162.905667 156.008166 \nL 166.25467 155.408349 \nL 170.076774 154.298381 \nL 174.388822 152.596367 \nL 176.725172 151.496518 \nL 179.174056 150.21707 \nL 181.724728 148.74912 \nL 184.361387 147.085862 \nL 187.062199 145.223656 \nL 189.7983 143.163353 \nL 192.532825 140.911828 \nL 195.220105 138.483709 \nL 197.805157 135.903181 \nL 200.223656 133.205731 \nL 202.402644 130.439535 \nL 204.26216 127.666173 \nL 205.718098 124.960289 \nL 206.686342 122.407662 \nL 207.088264 120.101443 \nL 206.857263 118.136275 \nL 205.945833 116.600543 \nL 204.332262 115.567447 \nL 202.025843 115.086077 \nL 199.069445 115.174147 \nL 195.538548 115.814077 \nL 191.53642 116.95361 \nL 187.185931 118.51137 \nL 182.619193 120.386451 \nL 173.348282 124.658234 \nL 160.601243 131.037877 \nL 150.512689 136.297618 \nL 145.377715 139.132347 \nL 141.358704 141.578862 \nL 138.255306 143.778903 \nL 135.862744 145.840963 \nL 133.994664 147.833406 \nL 132.491592 149.791419 \nL 130.639735 152.687369 \nL 127.230055 158.268513 \nL 125.925513 160.029559 \nL 124.442837 161.722407 \nL 122.729569 163.334259 \nL 120.732327 164.848867 \nL 118.395317 166.243712 \nL 115.659924 167.486156 \nL 112.465822 168.528283 \nL 108.754427 169.30018 \nL 106.688534 169.554886 \nL 104.475894 169.701505 \nL 102.113667 169.72114 \nL 99.601506 169.591768 \nL 96.942418 169.287998 \nL 94.143774 168.78094 \nL 91.218527 168.038261 \nL 88.186587 167.024494 \nL 85.076344 165.701783 \nL 81.926236 164.031133 \nL 78.786252 161.974402 \nL 75.719141 159.497138 \nL 72.801063 156.572398 \nL 70.121266 153.185552 \nL 67.780429 149.339909 \nL 65.887169 145.062728 \nL 64.552449 140.410838 \nL 63.881828 135.474754 \nL 63.965918 130.379882 \nL 64.870002 125.283481 \nL 66.624302 120.366408 \nL 69.21674 115.81958 \nL 72.59004 111.826466 \nL 76.64427 108.544147 \nL 81.245001 106.086417 \nL 86.235803 104.51233 \nL 91.452874 103.822484 \nL 96.739168 103.963582 \nL 101.955769 104.839679 \nL 106.989172 106.327339 \nL 111.754279 108.291433 \nL 116.193757 110.598873 \nL 120.27494 113.12866 \nL 123.985438 115.777851 \nL 127.328455 118.463806 \nL 130.318452 121.123766 \nL 132.977463 123.712683 \nL 135.332168 126.200275 \nL 139.245969 130.80564 \nL 142.296347 134.881354 \nL 145.73074 140.041366 \nL 149.8684 146.481639 \nL 151.352751 148.426082 \nL 152.885554 150.05205 \nL 154.541997 151.372095 \nL 156.386803 152.387011 \nL 158.47735 153.085795 \nL 160.865468 153.445533 \nL 163.597649 153.431351 \nL 166.713243 152.996688 \nL 170.240118 152.084522 \nL 174.187001 150.630507 \nL 178.531724 148.569618 \nL 180.833951 147.293945 \nL 183.204794 145.848371 \nL 185.624762 144.231315 \nL 188.068679 142.444962 \nL 190.505013 140.496421 \nL 192.895343 138.398988 \nL 195.194081 136.173429 \nL 197.34854 133.849189 \nL 199.299586 131.465311 \nL 200.982924 129.070862 \nL 202.331247 126.724599 \nL 203.277295 124.493564 \nL 203.757792 122.450439 \nL 203.718138 120.669495 \nL 203.117462 119.221294 \nL 201.933503 118.16653 \nL 200.1666 117.549751 \nL 197.842058 117.39395 \nL 195.010242 117.697062 \nL 191.744103 118.431262 \nL 188.134258 119.545482 \nL 184.282229 120.970849 \nL 180.292845 122.628174 \nL 172.294982 126.318962 \nL 164.801716 130.064303 \nL 155.338691 135.100638 \nL 150.389944 137.953213 \nL 146.467503 140.467716 \nL 143.432384 142.743554 \nL 141.122926 144.869333 \nL 139.38202 146.90753 \nL 138.070265 148.89445 \nL 137.070522 150.846397 \nL 135.953364 153.714429 \nL 134.561406 158.296122 \nL 133.467596 161.736579 \nL 132.489587 164.173454 \nL 131.270685 166.489889 \nL 130.274184 167.9707 \nL 129.090353 169.403156 \nL 127.678684 170.788129 \nL 125.991685 172.123968 \nL 123.973485 173.404561 \nL 121.558655 174.616459 \nL 118.671527 175.734615 \nL 115.2266 176.716096 \nL 111.131075 177.490936 \nL 108.809812 177.768526 \nL 106.291331 177.949243 \nL 103.565982 178.01027 \nL 100.626317 177.923905 \nL 97.468225 177.656834 \nL 94.092395 177.169459 \nL 90.506173 176.415334 \nL 86.725833 175.34092 \nL 82.779313 173.885798 \nL 78.709337 171.983702 \nL 74.576789 169.564713 \nL 70.464079 166.559068 \nL 66.477948 162.903103 \nL 62.751003 158.547633 \nL 59.440939 153.468947 \nL 56.726208 147.68188 \nL 54.797016 141.253636 \nL 53.840828 134.315838 \nL 54.022764 127.071129 \nL 55.462721 119.790207 \nL 58.213073 112.795733 \nL 62.242115 106.432231 \nL 67.428537 101.02508 \nL 73.570236 96.836317 \nL 80.406946 94.027733 \nL 87.652041 92.640862 \nL 95.026045 92.598986 \nL 102.284466 93.72944 \nL 109.235093 95.798863 \nL 115.743741 98.551415 \nL 121.730633 101.741472 \nL 127.161091 105.155808 \nL 132.034218 108.624531 \nL 136.372147 112.022706 \nL 140.211192 115.265916 \nL 146.571276 121.107301 \nL 151.485616 125.99614 \nL 161.89539 136.730286 \nL 163.895659 138.435569 \nL 165.750947 139.691643 \nL 167.556396 140.550212 \nL 169.377839 141.047458 \nL 171.255916 141.208301 \nL 173.208797 141.050642 \nL 175.233592 140.589656 \nL 177.306792 139.842329 \nL 179.384199 138.832169 \nL 181.40106 137.594019 \nL 183.273347 136.178378 \nL 184.901214 134.654373 \nL 186.175686 133.110128 \nL 186.989114 131.649139 \nL 187.19303 130.984436 \nL 187.249072 130.381842 \nL 187.150631 129.854099 \nL 186.893952 129.4126 \nL 186.478467 129.066892 \nL 185.90703 128.82426 \nL 185.185983 128.6894 \nL 184.325072 128.664213 \nL 182.238057 128.936399 \nL 179.779035 129.602442 \nL 177.106179 130.591817 \nL 174.381747 131.817547 \nL 171.753244 133.192225 \nL 169.340634 134.639801 \nL 167.230887 136.10118 \nL 165.478895 137.534219 \nL 164.112543 138.91019 \nL 163.139608 140.208995 \nL 162.554734 141.414718 \nL 162.345382 142.512255 \nL 162.496346 143.485199 \nL 162.992714 144.314663 \nL 163.821444 144.978844 \nL 164.971681 145.452973 \nL 166.434009 145.709621 \nL 168.198668 145.719304 \nL 170.252803 145.451562 \nL 172.576646 144.876791 \nL 175.138703 143.969149 \nL 177.889977 142.710948 \nL 180.757638 141.098878 \nL 183.639014 139.152026 \nL 186.397412 136.921113 \nL 188.86218 134.497189 \nL 190.836004 132.016626 \nL 191.573886 130.809585 \nL 192.112208 129.657977 \nL 192.428339 128.588125 \nL 192.503101 127.626218 \nL 192.321993 126.797054 \nL 191.876325 126.122699 \nL 191.164143 125.621154 \nL 190.19085 125.305163 \nL 188.9694 125.18135 \nL 187.52005 125.24972 \nL 185.869602 125.503714 \nL 184.050244 125.93071 \nL 180.051185 127.229423 \nL 175.826961 128.969669 \nL 171.664146 130.964711 \nL 167.793428 133.056315 \nL 164.372318 135.134305 \nL 161.487061 137.136486 \nL 159.16636 139.036614 \nL 157.399263 140.8292 \nL 156.151969 142.516708 \nL 155.38112 144.101283 \nL 155.043106 145.580519 \nL 155.099882 146.946036 \nL 155.522119 148.183473 \nL 156.290488 149.273014 \nL 157.395665 150.189805 \nL 158.837473 150.904073 \nL 160.623336 151.380928 \nL 162.766023 151.579936 \nL 165.280506 151.45477 \nL 168.179531 150.953342 \nL 171.467427 150.019043 \nL 175.13149 148.59405 \nL 179.130428 146.625951 \nL 183.379722 144.079296 \nL 185.555885 142.586808 \nL 187.734791 140.953405 \nL 189.886306 139.188453 \nL 191.974817 137.306817 \nL 193.959223 135.329726 \nL 195.793278 133.285516 \nL 197.426389 131.210056 \nL 198.804964 129.146717 \nL 199.874374 127.145683 \nL 200.581569 125.262478 \nL 200.87825 123.555547 \nL 200.72445 122.082959 \nL 200.0922 120.89834 \nL 198.968882 120.046419 \nL 197.359775 119.558747 \nL 195.289333 119.450186 \nL 192.800832 119.716893 \nL 189.954247 120.336248 \nL 186.822514 121.268869 \nL 183.486608 122.46258 \nL 180.0301 123.8576 \nL 173.071725 127.007956 \nL 166.491028 130.288399 \nL 160.646875 133.413645 \nL 155.709084 136.259559 \nL 151.700998 138.819089 \nL 148.554411 141.143926 \nL 146.156163 143.299782 \nL 144.380112 145.342198 \nL 143.105937 147.308339 \nL 142.228522 149.217806 \nL 141.661391 151.076951 \nL 141.336762 152.883726 \nL 141.203895 154.631597 \nL 141.288821 157.12465 \nL 141.655491 159.437987 \nL 142.280154 161.545599 \nL 142.845408 162.824191 \nL 143.542996 163.992499 \nL 144.391203 165.041295 \nL 145.414573 165.959065 \nL 146.644344 166.730866 \nL 148.1191 167.33692 \nL 149.88558 167.750832 \nL 151.999477 167.937326 \nL 154.52602 167.849371 \nL 157.539914 167.424614 \nL 161.123949 166.581176 \nL 165.365087 165.213131 \nL 170.34615 163.186687 \nL 173.135263 161.876811 \nL 176.130163 160.339368 \nL 179.331202 158.55063 \nL 182.733245 156.486666 \nL 186.32384 154.12457 \nL 190.081034 151.444228 \nL 193.970853 148.430789 \nL 197.944514 145.07791 \nL 201.935531 141.391869 \nL 205.857009 137.396527 \nL 209.59956 133.138891 \nL 213.030523 128.694766 \nL 215.995334 124.17358 \nL 218.322046 119.720993 \nL 219.830019 115.517427 \nL 220.343419 111.770463 \nL 219.709439 108.699394 \nL 217.819753 106.511536 \nL 214.632025 105.372356 \nL 210.186654 105.37441 \nL 204.613417 106.513103 \nL 198.123902 108.677569 \nL 190.989228 111.662285 \nL 183.507134 115.198449 \nL 168.615694 122.793579 \nL 155.187856 129.608161 \nL 149.307684 132.41656 \nL 144.028417 134.788931 \nL 139.337761 136.751913 \nL 131.57183 139.658802 \nL 125.622897 141.599748 \nL 114.757945 144.991198 \nL 110.444529 146.657097 \nL 106.83878 148.034539 \nL 105.072634 148.545042 \nL 103.268172 148.88665 \nL 101.408092 149.020225 \nL 99.496359 148.907863 \nL 97.557253 148.515119 \nL 95.634772 147.814017 \nL 93.791726 146.787286 \nL 92.107577 145.433713 \nL 90.674154 143.774206 \nL 90.081843 142.843724 \nL 89.588476 141.857393 \nL 89.205308 140.82619 \nL 88.942491 139.763028 \nL 88.808659 138.682605 \nL 88.810505 137.601125 \nL 88.952419 136.535944 \nL 89.236179 135.50508 \nL 89.660725 134.526674 \nL 90.222062 133.618382 \nL 90.913269 132.796757 \nL 91.724652 132.07665 \nL 92.644023 131.470686 \nL 93.657072 130.988826 \nL 94.747848 130.63809 \nL 95.899277 130.422399 \nL 97.093709 130.342591 \nL 98.313444 130.39658 \nL 99.541237 130.579632 \nL 100.760705 130.884747 \nL 103.115471 131.824494 \nL 105.274873 133.131502 \nL 107.162713 134.713362 \nL 108.728737 136.480452 \nL 109.944862 138.352799 \nL 110.799955 140.263085 \nL 111.294482 142.156757 \nL 111.435812 143.990345 \nL 111.234581 145.728877 \nL 110.702275 147.342999 \nL 109.849958 148.806162 \nL 108.688125 150.09206 \nL 107.22755 151.17236 \nL 105.481141 152.014829 \nL 103.466753 152.581948 \nL 101.210975 152.830329 \nL 98.753812 152.711217 \nL 96.153982 152.172815 \nL 94.825361 151.730486 \nL 93.494244 151.165117 \nL 92.175429 150.472073 \nL 90.885604 149.648047 \nL 89.643281 148.691531 \nL 88.468641 147.603308 \nL 87.383247 146.386966 \nL 86.409607 145.049409 \nL 85.570623 143.601316 \nL 84.888851 142.057477 \nL 84.385666 140.43699 \nL 84.0803 138.763232 \nL 83.988858 137.063546 \nL 84.123326 135.368639 \nL 84.490702 133.711658 \nL 85.092302 132.126982 \nL 85.923344 130.648793 \nL 86.972839 129.309504 \nL 88.223864 128.138229 \nL 89.654177 127.159371 \nL 91.237153 126.391483 \nL 92.94296 125.846559 \nL 94.739854 125.529718 \nL 96.595524 125.439376 \nL 98.478339 125.567833 \nL 100.358433 125.902165 \nL 102.208568 126.425356 \nL 104.004744 127.117497 \nL 105.726545 127.956989 \nL 107.357261 128.921624 \nL 108.883811 129.98951 \nL 110.296514 131.139793 \nL 111.588758 132.353159 \nL 112.756602 133.612168 \nL 114.714162 136.207544 \nL 116.175207 138.826813 \nL 117.16295 141.400021 \nL 117.708025 143.880482 \nL 117.841456 146.2383 \nL 117.590113 148.454452 \nL 116.974169 150.515806 \nL 116.006091 152.411068 \nL 114.690811 154.127368 \nL 113.026848 155.647258 \nL 111.008341 156.945858 \nL 108.62813 157.988029 \nL 105.882156 158.725505 \nL 104.373056 158.960654 \nL 102.775607 159.094276 \nL 101.093269 159.115611 \nL 99.331267 159.012791 \nL 97.496979 158.772917 \nL 95.600381 158.382229 \nL 93.654496 157.826369 \nL 91.675846 157.090792 \nL 89.684887 156.161329 \nL 87.70637 155.024946 \nL 85.769563 153.670701 \nL 83.908305 152.090919 \nL 82.160777 150.282546 \nL 80.568941 148.248667 \nL 79.177538 146.000041 \nL 78.032618 143.556559 \nL 77.179585 140.94839 \nL 76.660786 138.216608 \nL 76.512801 135.413067 \nL 76.763598 132.599281 \nL 77.429881 129.844217 \nL 78.514955 127.220988 \nL 80.00741 124.802666 \nL 81.88093 122.657607 \nL 84.09531 120.844749 \nL 86.59867 119.409609 \nL 89.330599 118.381358 \nL 92.2259 117.771511 \nL 95.21845 117.574234 \nL 98.24476 117.768222 \nL 101.246894 118.319665 \nL 104.174561 119.185942 \nL 106.986293 120.319415 \nL 109.64981 121.670935 \nL 112.141721 123.192734 \nL 114.446745 124.840558 \nL 116.556649 126.575042 \nL 118.469058 128.362388 \nL 120.186265 130.174492 \nL 121.714108 131.988705 \nL 123.06098 133.78731 \nL 124.236976 135.556911 \nL 126.121128 138.973069 \nL 127.457893 142.191668 \nL 128.333716 145.198144 \nL 128.823194 147.996014 \nL 128.986012 150.598292 \nL 128.866259 153.022045 \nL 128.493037 155.285101 \nL 127.881636 157.404068 \nL 127.034816 159.393111 \nL 125.94395 161.263051 \nL 124.589913 163.020519 \nL 122.943742 164.666845 \nL 120.967187 166.19645 \nL 118.613362 167.594436 \nL 115.827921 168.833052 \nL 112.551357 169.86663 \nL 108.723418 170.624643 \nL 106.585515 170.869291 \nL 104.29112 171.002663 \nL 101.836993 171.004635 \nL 99.22251 170.851594 \nL 96.450604 170.516144 \nL 93.528912 169.966939 \nL 90.471123 169.168705 \nL 87.298545 168.082583 \nL 84.041825 166.666903 \nL 80.74274 164.878603 \nL 77.455921 162.675457 \nL 74.250241 160.019305 \nL 71.209561 156.880441 \nL 68.432339 153.243159 \nL 66.029651 149.112236 \nL 64.121071 144.519873 \nL 62.828066 139.532089 \nL 62.264881 134.253213 \nL 62.527433 128.82684 \nL 63.681407 123.431512 \nL 65.751414 118.27027 \nL 68.713501 113.554051 \nL 72.493039 109.480893 \nL 76.969203 106.214192 \nL 81.98579 103.86436 \nL 87.366558 102.477724 \nL 92.932197 102.034983 \nL 98.515818 102.459116 \nL 103.974512 103.630306 \nL 109.195862 105.404202 \nL 114.099587 107.629693 \nL 118.635404 110.163338 \nL 122.778591 112.879048 \nL 126.524626 115.673024 \nL 129.883891 118.464776 \nL 132.877036 121.19547 \nL 135.531217 123.824786 \nL 139.947426 128.688795 \nL 143.38916 132.970828 \nL 147.252814 138.333743 \nL 151.851919 144.875497 \nL 153.475737 146.796091 \nL 155.137047 148.36794 \nL 156.916536 149.606061 \nL 158.881408 150.51271 \nL 161.08841 151.077796 \nL 163.585314 151.27939 \nL 166.410518 151.084523 \nL 169.590395 150.450716 \nL 173.133901 149.328934 \nL 177.023946 147.669131 \nL 181.205194 145.42976 \nL 183.373532 144.085662 \nL 185.568701 142.592909 \nL 187.765942 140.956542 \nL 189.935154 139.186158 \nL 192.040646 137.296867 \nL 194.041132 135.31019 \nL 195.890071 133.254809 \nL 197.536478 131.167018 \nL 198.926275 129.090711 \nL 200.004297 127.076688 \nL 200.716934 125.181166 \nL 201.015358 123.463352 \nL 200.85915 121.982066 \nL 200.22004 120.791616 \nL 199.085315 119.937286 \nL 197.460409 119.450943 \nL 195.3702 119.347505 \nL 192.85864 119.622864 \nL 189.986583 120.253843 \nL 186.827967 121.200289 \nL 183.464805 122.409105 \nL 179.981637 123.819577 \nL 172.974828 126.998659 \nL 166.355283 130.301476 \nL 160.482735 133.441591 \nL 155.525593 136.29611 \nL 151.504775 138.860174 \nL 148.349547 141.187526 \nL 145.944559 143.345346 \nL 144.161939 145.390038 \nL 142.880052 147.359216 \nL 141.992782 149.272668 \nL 141.412855 151.136857 \nL 141.071802 152.949822 \nL 140.918219 154.705171 \nL 140.96247 157.212345 \nL 141.274398 159.544334 \nL 141.826603 161.676913 \nL 142.628101 163.587898 \nL 143.319384 164.727159 \nL 144.157586 165.74875 \nL 145.167749 166.641657 \nL 146.381454 167.391408 \nL 147.837551 167.978681 \nL 149.58304 168.377564 \nL 151.673964 168.553293 \nL 154.176103 168.459378 \nL 157.165062 168.034003 \nL 160.725097 167.195711 \nL 164.945514 165.838695 \nL 169.912741 163.82861 \nL 172.699121 162.528399 \nL 175.695203 161.001096 \nL 178.902385 159.222364 \nL 182.316745 157.167436 \nL 185.927222 154.812278 \nL 189.713401 152.135323 \nL 193.642962 149.119875 \nL 197.66881 145.757341 \nL 201.726057 142.051365 \nL 205.729104 138.022872 \nL 209.569313 133.715811 \nL 213.11386 129.203136 \nL 216.206705 124.592125 \nL 218.672681 120.02765 \nL 220.325813 115.691467 \nL 220.982668 111.79538 \nL 220.480771 108.566295 \nL 218.700797 106.222486 \nL 215.58941 104.942702 \nL 211.177828 104.833214 \nL 205.590367 105.900813 \nL 199.038299 108.040978 \nL 191.797918 111.047705 \nL 184.176663 114.644859 \nL 168.9556 122.427395 \nL 155.202204 129.428113 \nL 149.178042 132.306511 \nL 143.770904 134.728979 \nL 138.968702 136.722434 \nL 131.024493 139.640007 \nL 124.946937 141.543038 \nL 111.578004 145.455862 \nL 105.217045 147.582531 \nL 103.523249 147.931254 \nL 101.804267 148.102195 \nL 100.05432 148.060911 \nL 98.287388 147.776316 \nL 96.535857 147.223202 \nL 94.849119 146.385514 \nL 93.291443 145.260428 \nL 91.938373 143.862943 \nL 90.871112 142.230238 \nL 90.168606 140.424537 \nL 89.975807 139.483175 \nL 89.897776 138.533047 \nL 89.939289 137.588239 \nL 90.103121 136.663589 \nL 90.389841 135.774281 \nL 90.797671 134.935405 \nL 91.322434 134.161485 \nL 91.9576 133.465989 \nL 92.694432 132.860888 \nL 93.522216 132.356271 \nL 94.428587 131.960034 \nL 95.399897 131.677668 \nL 96.421624 131.512168 \nL 97.478806 131.464066 \nL 99.639926 131.710651 \nL 101.769478 132.379165 \nL 103.768448 133.407461 \nL 105.558064 134.720474 \nL 107.081273 136.240096 \nL 108.301171 137.892388 \nL 109.197572 139.611766 \nL 109.762872 141.342541 \nL 109.998035 143.038513 \nL 109.909225 144.661398 \nL 109.50537 146.178707 \nL 108.796688 147.561423 \nL 107.794224 148.7818 \nL 106.51031 149.811392 \nL 104.959933 150.619414 \nL 103.162964 151.171647 \nL 101.147184 151.430002 \nL 98.951994 151.353165 \nL 96.632516 150.898717 \nL 94.263568 150.027277 \nL 93.090059 149.425294 \nL 91.942552 148.709168 \nL 90.836837 147.878243 \nL 89.789971 146.93376 \nL 88.820032 145.879252 \nL 87.945785 144.720905 \nL 87.186234 143.467896 \nL 86.560058 142.13263 \nL 86.084979 140.730873 \nL 85.777028 139.281709 \nL 85.649803 137.807329 \nL 85.713723 136.33258 \nL 85.975348 134.884296 \nL 86.436842 133.49043 \nL 87.095597 132.179009 \nL 87.944102 130.976992 \nL 88.970058 129.909108 \nL 90.156759 128.996758 \nL 91.48371 128.257122 \nL 92.927441 127.702462 \nL 94.462447 127.33978 \nL 96.062198 127.170766 \nL 97.700123 127.192075 \nL 99.350499 127.395858 \nL 100.989227 127.770502 \nL 102.594409 128.301496 \nL 104.14676 128.972307 \nL 105.629832 129.765269 \nL 107.030074 130.662341 \nL 108.33676 131.645772 \nL 110.639532 133.805084 \nL 112.50038 136.12295 \nL 113.909896 138.5028 \nL 114.877181 140.87179 \nL 115.42129 143.17742 \nL 115.564661 145.382783 \nL 115.328563 147.461663 \nL 114.730357 149.39408 \nL 113.782267 151.162435 \nL 112.491373 152.748167 \nL 110.860688 154.128807 \nL 108.89126 155.275292 \nL 106.585392 156.149498 \nL 103.951187 156.702081 \nL 102.516543 156.838887 \nL 101.008653 156.870998 \nL 99.433167 156.788658 \nL 97.797553 156.581449 \nL 96.111431 156.238437 \nL 94.386898 155.748446 \nL 92.638856 155.10039 \nL 90.885307 154.283761 \nL 89.147565 153.28922 \nL 87.45038 152.109352 \nL 85.821899 150.739548 \nL 84.293447 149.178996 \nL 82.899016 147.43176 \nL 81.674491 145.507862 \nL 80.65654 143.424247 \nL 79.881149 141.205554 \nL 79.381907 138.884499 \nL 79.188042 136.501729 \nL 79.322413 134.105031 \nL 79.799602 131.747821 \nL 80.624334 129.486892 \nL 81.790434 127.379568 \nL 83.280495 125.480468 \nL 85.066356 123.838216 \nL 87.110408 122.492452 \nL 89.367588 121.471518 \nL 91.787877 120.791061 \nL 94.319027 120.453759 \nL 96.909224 120.450065 \nL 99.509459 120.759891 \nL 102.075388 121.354884 \nL 104.568634 122.20104 \nL 106.957479 123.261283 \nL 109.217041 124.497796 \nL 111.32902 125.873935 \nL 113.281138 127.355643 \nL 115.06638 128.912365 \nL 116.682163 130.517525 \nL 118.129476 132.148648 \nL 119.412072 133.787228 \nL 120.535734 135.418405 \nL 122.335784 138.614903 \nL 123.594537 141.67617 \nL 124.378164 144.57151 \nL 124.746037 147.290232 \nL 124.746368 149.833289 \nL 124.414317 152.207431 \nL 123.771635 154.421188 \nL 122.827156 156.482043 \nL 121.577728 158.394289 \nL 120.009354 160.157077 \nL 118.098527 161.762329 \nL 115.813899 163.192177 \nL 113.118641 164.415646 \nL 109.97404 165.384325 \nL 108.22197 165.751905 \nL 106.345219 166.026934 \nL 104.341499 166.195887 \nL 102.210137 166.243021 \nL 99.952637 166.150183 \nL 97.573375 165.896729 \nL 95.080379 165.459493 \nL 92.486252 164.812942 \nL 89.809181 163.929527 \nL 87.074025 162.780354 \nL 84.313385 161.336229 \nL 81.568598 159.569215 \nL 78.890483 157.454748 \nL 76.339643 154.974396 \nL 73.986118 152.119217 \nL 71.90808 148.893599 \nL 70.189345 145.319311 \nL 68.915522 141.439215 \nL 68.16877 137.320029 \nL 68.021386 133.053291 \nL 68.52875 128.753714 \nL 69.722513 124.554291 \nL 71.605107 120.598057 \nL 74.146679 117.02706 \nL 77.285349 113.96986 \nL 80.931076 111.529425 \nL 84.972755 109.773641 \nL 89.28748 108.730019 \nL 93.75046 108.385566 \nL 98.24409 108.691544 \nL 102.66498 109.571836 \nL 106.928343 110.933222 \nL 110.969723 112.675559 \nL 114.744525 114.70055 \nL 118.226015 116.918156 \nL 121.402472 119.250503 \nL 124.274089 121.633566 \nL 126.850001 124.017094 \nL 129.145662 126.363438 \nL 131.180687 128.645764 \nL 134.558168 132.953358 \nL 137.166871 136.869293 \nL 139.184555 140.386335 \nL 141.442203 144.968392 \nL 145.127994 153.023207 \nL 146.140369 154.771842 \nL 147.243022 156.304566 \nL 148.484441 157.625517 \nL 149.911377 158.730996 \nL 151.571267 159.608924 \nL 153.514073 160.237933 \nL 155.793439 160.586016 \nL 158.466947 160.608761 \nL 161.595057 160.247269 \nL 165.238001 159.426117 \nL 169.449517 158.052137 \nL 174.265787 156.015522 \nL 176.902957 154.711195 \nL 179.687415 153.195922 \nL 182.609199 151.45552 \nL 185.652123 149.477857 \nL 188.792331 147.254283 \nL 191.99674 144.781443 \nL 195.221472 142.063535 \nL 198.410388 139.114905 \nL 201.49397 135.96296 \nL 204.388844 132.651106 \nL 206.998306 129.241336 \nL 209.21431 125.815931 \nL 210.921357 122.477487 \nL 212.002622 119.346447 \nL 212.348397 116.555376 \nL 211.866523 114.239471 \nL 210.493833 112.52359 \nL 208.207002 111.507085 \nL 205.030615 111.248817 \nL 201.04033 111.755613 \nL 196.359466 112.97752 \nL 191.148837 114.811887 \nL 185.591226 117.116339 \nL 179.873411 119.728023 \nL 168.626537 125.24323 \nL 149.852495 134.589444 \nL 135.240948 141.697284 \nL 131.536436 143.733559 \nL 128.641143 145.587705 \nL 126.314359 147.357008 \nL 123.461344 149.942587 \nL 119.207438 154.069687 \nL 117.378041 155.598157 \nL 115.361614 157.011285 \nL 113.099903 158.271039 \nL 110.545022 159.331588 \nL 107.660042 160.13625 \nL 104.42209 160.613917 \nL 102.668878 160.703121 \nL 100.828458 160.675716 \nL 98.905216 160.517489 \nL 96.906206 160.213029 \nL 94.841633 159.745898 \nL 92.725393 159.098936 \nL 90.575614 158.254712 \nL 88.415161 157.196205 \nL 86.27208 155.907711 \nL 84.179877 154.376024 \nL 82.177567 152.591877 \nL 80.309383 150.551651 \nL 78.624033 148.259257 \nL 77.173428 145.728062 \nL 76.010778 142.982679 \nL 75.188079 140.060345 \nL 74.753042 137.011573 \nL 74.745658 133.899758 \nL 75.194712 130.79947 \nL 76.114618 127.793313 \nL 77.503049 124.967411 \nL 79.339779 122.405865 \nL 81.587011 120.184797 \nL 84.191303 118.366678 \nL 87.086905 116.995816 \nL 90.200116 116.095589 \nL 93.454096 115.667838 \nL 96.773528 115.694337 \nL 100.088615 116.140079 \nL 103.338065 116.957637 \nL 106.47092 118.092012 \nL 109.447271 119.485237 \nL 112.238056 121.080289 \nL 114.824193 122.824017 \nL 117.19529 124.669091 \nL 119.348174 126.574977 \nL 121.285407 128.508182 \nL 123.013887 130.441942 \nL 124.543623 132.355591 \nL 125.886686 134.233745 \nL 128.066442 137.843308 \nL 129.662697 141.2217 \nL 130.779626 144.356141 \nL 131.508115 147.254261 \nL 131.922516 149.933929 \nL 132.080213 152.417133 \nL 132.022687 154.72649 \nL 131.777218 156.883395 \nL 131.358678 158.907121 \nL 130.771117 160.81445 \nL 130.008976 162.61954 \nL 129.057883 164.333828 \nL 127.895039 165.965813 \nL 126.489237 167.520546 \nL 124.80061 168.998692 \nL 122.78025 170.394921 \nL 120.369918 171.695328 \nL 117.502222 172.873516 \nL 114.101906 173.884782 \nL 110.0893 174.657808 \nL 107.828971 174.922677 \nL 105.387658 175.083251 \nL 102.758493 175.11751 \nL 99.937059 174.999082 \nL 96.922469 174.696717 \nL 93.718719 174.17383 \nL 90.336358 173.388227 \nL 86.794481 172.292137 \nL 83.123054 170.832741 \nL 79.365466 168.953452 \nL 75.581184 166.596233 \nL 71.848192 163.705321 \nL 68.2648 160.232613 \nL 64.950171 156.144955 \nL 62.042773 151.43322 \nL 59.695888 146.122635 \nL 58.069363 140.283103 \nL 57.317359 134.037459 \nL 57.572482 127.564973 \nL 58.928048 121.097163 \nL 61.421357 114.903734 \nL 65.021754 109.268451 \nL 69.627137 104.457592 \nL 75.071011 100.686628 \nL 81.13965 98.092483 \nL 87.596056 96.718056 \nL 94.205601 96.512636 \nL 100.758035 97.347256 \nL 107.082265 99.040174 \nL 113.052707 101.385621 \nL 118.588348 104.179617 \nL 123.646907 107.238848 \nL 128.2167 110.411331 \nL 132.308291 113.579893 \nL 135.947122 116.660407 \nL 139.167668 119.597094 \nL 144.512379 124.922634 \nL 148.665298 129.462226 \nL 158.773311 140.969408 \nL 160.656398 142.567886 \nL 162.542547 143.760733 \nL 164.510993 144.572293 \nL 166.619038 145.013743 \nL 168.904401 145.085852 \nL 171.385759 144.782231 \nL 174.061404 144.093343 \nL 176.906157 143.011727 \nL 179.866884 141.53887 \nL 182.857452 139.693837 \nL 185.754612 137.523379 \nL 188.397117 135.112058 \nL 190.591183 132.589614 \nL 191.454077 131.339897 \nL 192.125582 130.131159 \nL 192.580941 128.990418 \nL 192.798225 127.945206 \nL 192.759629 127.022336 \nL 192.452723 126.246547 \nL 191.871586 125.639071 \nL 191.017634 125.216278 \nL 189.900104 124.988554 \nL 188.53604 124.959576 \nL 186.949788 125.126005 \nL 185.171989 125.477822 \nL 183.238164 125.99911 \nL 179.058539 127.464917 \nL 174.725878 129.332324 \nL 170.524563 131.411458 \nL 166.673482 133.550371 \nL 163.313881 135.649664 \nL 160.51571 137.657895 \nL 158.294071 139.556981 \nL 156.628114 141.346349 \nL 155.477735 143.030685 \nL 154.796231 144.61257 \nL 154.538828 146.089125 \nL 154.6678 147.451133 \nL 155.155069 148.683374 \nL 155.9831 149.765242 \nL 157.144652 150.67116 \nL 158.641759 151.370618 \nL 160.484086 151.827869 \nL 162.6866 152.001404 \nL 165.266343 151.843495 \nL 168.237877 151.30027 \nL 171.606843 150.312973 \nL 175.360959 148.821379 \nL 179.457872 146.770815 \nL 183.809693 144.124373 \nL 186.036895 142.575554 \nL 188.265154 140.881933 \nL 190.462824 139.053544 \nL 192.592484 137.106253 \nL 194.61093 135.06271 \nL 196.469575 132.953116 \nL 198.115324 130.815645 \nL 199.492055 128.696386 \nL 200.542763 126.648535 \nL 201.212402 124.730728 \nL 201.451319 123.00437 \nL 201.219094 121.529981 \nL 200.488436 120.362785 \nL 199.248686 119.54792 \nL 197.508368 119.115908 \nL 195.29633 119.079068 \nL 192.661053 119.429685 \nL 189.668098 120.140269 \nL 186.395821 121.166146 \nL 182.929965 122.450028 \nL 175.762688 125.534527 \nL 168.791356 128.902547 \nL 162.467705 132.188577 \nL 157.037299 135.203512 \nL 152.571491 137.904796 \nL 149.024901 140.33413 \nL 146.289609 142.562161 \nL 144.234466 144.654941 \nL 142.729181 146.660173 \nL 141.656958 148.605687 \nL 140.919678 150.50341 \nL 140.438759 152.354679 \nL 140.153733 154.154893 \nL 139.999217 156.743661 \nL 140.089298 159.176404 \nL 140.374202 161.432182 \nL 140.83975 163.494869 \nL 141.499184 165.350801 \nL 142.389387 166.985063 \nL 143.139857 167.941586 \nL 144.043443 168.781916 \nL 145.130251 169.494201 \nL 146.437145 170.062243 \nL 148.0088 170.463974 \nL 149.898854 170.669456 \nL 152.171001 170.638242 \nL 154.899773 170.315974 \nL 158.170491 169.630087 \nL 162.077513 168.484695 \nL 166.719266 166.755121 \nL 172.187565 164.28346 \nL 175.253855 162.710673 \nL 178.547389 160.878302 \nL 182.066338 158.75882 \nL 185.801678 156.324934 \nL 189.734807 153.551322 \nL 193.834741 150.41713 \nL 198.054905 146.90939 \nL 202.329654 143.027495 \nL 206.570822 138.788792 \nL 210.664725 134.235117 \nL 214.470349 129.439837 \nL 217.819718 124.514463 \nL 220.521669 119.61325 \nL 222.370408 114.933619 \nL 223.159918 110.709635 \nL 222.704593 107.196101 \nL 220.864804 104.641826 \nL 217.573946 103.253696 \nL 212.861141 103.157185 \nL 206.862398 104.363133 \nL 199.814234 106.752414 \nL 192.028064 110.086978 \nL 183.849902 114.04758 \nL 153.090289 129.88925 \nL 146.781153 132.848293 \nL 141.146184 135.283636 \nL 136.163726 137.235089 \nL 131.789133 138.767429 \nL 127.966007 139.954178 \nL 121.733031 141.569355 \nL 115.07858 142.895878 \nL 102.716773 144.985573 \nL 100.778474 145.045572 \nL 98.959494 144.807081 \nL 97.816327 144.458723 \nL 96.749422 143.951767 \nL 95.78679 143.289386 \nL 94.962185 142.484439 \nL 94.311614 141.560387 \nL 93.869436 140.551455 \nL 93.664244 139.501751 \nL 93.714891 138.463026 \nL 94.027181 137.491129 \nL 94.591787 136.641381 \nL 95.383863 135.963493 \nL 96.364453 135.496878 \nL 97.483578 135.267112 \nL 98.684461 135.284198 \nL 99.908141 135.542777 \nL 101.097803 136.024074 \nL 102.202212 136.698971 \nL 103.177979 137.531555 \nL 103.990637 138.4825 \nL 104.614689 139.51181 \nL 105.032946 140.580793 \nL 105.235468 141.653164 \nL 105.218424 142.695491 \nL 104.983081 143.677079 \nL 104.535076 144.569582 \nL 103.884075 145.346469 \nL 103.043827 145.982524 \nL 102.032617 146.453545 \nL 100.874053 146.736359 \nL 99.598056 146.80932 \nL 98.241899 146.653367 \nL 96.851044 146.253793 \nL 95.479428 145.602714 \nL 94.188848 144.702154 \nL 93.046988 143.567425 \nL 92.123827 142.230271 \nL 91.48631 140.740914 \nL 91.191619 139.168071 \nL 91.279893 137.596072 \nL 91.767656 136.118691 \nL 92.643485 134.830129 \nL 93.215428 134.283637 \nL 94.589797 133.430275 \nL 96.205933 132.936726 \nL 97.973435 132.826004 \nL 99.797051 133.092242 \nL 101.5856 133.704668 \nL 103.258822 134.614365 \nL 104.751469 135.76198 \nL 106.014671 137.084761 \nL 107.015099 138.521891 \nL 107.732757 140.017788 \nL 108.158156 141.523537 \nL 108.289499 142.996912 \nL 108.130276 144.401444 \nL 107.687518 145.70496 \nL 106.97081 146.877968 \nL 105.992092 147.892073 \nL 104.766222 148.718608 \nL 103.312274 149.327638 \nL 101.655488 149.68751 \nL 99.829747 149.765176 \nL 97.88038 149.527564 \nL 95.866889 148.944323 \nL 93.865036 147.992227 \nL 91.967383 146.66134 \nL 90.281323 144.962599 \nL 89.553951 143.9864 \nL 88.923432 142.935826 \nL 88.404152 141.821448 \nL 88.009607 140.65625 \nL 87.751898 139.455576 \nL 87.641203 138.23692 \nL 87.685288 137.019592 \nL 87.889033 135.824242 \nL 88.254081 134.672249 \nL 88.778575 133.585016 \nL 89.457076 132.583184 \nL 90.280619 131.685865 \nL 91.236951 130.909884 \nL 92.310923 130.269154 \nL 93.485025 129.774174 \nL 94.739998 129.43173 \nL 96.055528 129.244789 \nL 97.410922 129.212607 \nL 98.785759 129.331008 \nL 100.160473 129.592812 \nL 101.516825 129.988372 \nL 102.838263 130.506156 \nL 104.110172 131.133344 \nL 106.457291 132.661556 \nL 108.48242 134.464491 \nL 110.139897 136.441551 \nL 111.408381 138.506679 \nL 112.284019 140.590394 \nL 112.773939 142.638695 \nL 112.890868 144.610272 \nL 112.649181 146.473059 \nL 112.062371 148.200735 \nL 111.14184 149.769488 \nL 109.896868 151.155104 \nL 108.335637 152.33041 \nL 106.467318 153.263096 \nL 104.305211 153.913922 \nL 101.871043 154.235638 \nL 99.200405 154.172971 \nL 97.792899 153.978432 \nL 96.349213 153.664477 \nL 94.880651 153.223213 \nL 93.400634 152.647154 \nL 91.92485 151.929597 \nL 90.471344 151.065086 \nL 89.060522 150.049958 \nL 87.715039 148.882958 \nL 86.459543 147.565911 \nL 85.320236 146.104404 \nL 84.324252 144.50844 \nL 83.498842 142.792992 \nL 82.870348 140.978383 \nL 82.463013 139.090405 \nL 82.297725 137.160101 \nL 82.390699 135.223139 \nL 82.752284 133.318772 \nL 83.385969 131.488358 \nL 84.287726 129.773557 \nL 85.445765 128.214283 \nL 86.840786 126.846657 \nL 88.446725 125.701084 \nL 90.23193 124.800693 \nL 92.160671 124.160317 \nL 94.194852 123.786068 \nL 96.295754 123.675551 \nL 98.425662 123.818646 \nL 100.549262 124.19875 \nL 102.63471 124.794291 \nL 104.654377 125.580349 \nL 106.585207 126.53023 \nL 108.408811 127.616871 \nL 110.111286 128.813983 \nL 111.682863 130.096921 \nL 113.117429 131.443268 \nL 114.411997 132.833156 \nL 115.566145 134.249391 \nL 117.461161 137.105107 \nL 118.831155 139.922149 \nL 119.716466 142.643852 \nL 120.159478 145.236633 \nL 120.198304 147.682258 \nL 119.863121 149.971567 \nL 119.174431 152.099594 \nL 118.14267 154.061787 \nL 116.768751 155.850881 \nL 115.045345 157.454117 \nL 112.958876 158.850446 \nL 110.492419 160.007482 \nL 107.629864 160.878162 \nL 106.046672 161.186502 \nL 104.361938 161.397114 \nL 102.576974 161.498406 \nL 100.694769 161.477281 \nL 98.720439 161.319135 \nL 96.661756 161.007914 \nL 94.529703 160.526303 \nL 92.339101 159.856023 \nL 90.109224 158.978345 \nL 87.864401 157.874795 \nL 85.634528 156.528151 \nL 83.455433 154.923735 \nL 81.368971 153.051013 \nL 79.42273 150.905499 \nL 77.669269 148.490855 \nL 76.164715 145.821093 \nL 74.966673 142.922589 \nL 74.131416 139.835676 \nL 73.710448 136.615387 \nL 73.746663 133.331007 \nL 74.270423 130.064118 \nL 75.296047 126.904978 \nL 76.819235 123.947349 \nL 78.815905 121.282164 \nL 81.24276 118.990792 \nL 84.03966 117.13874 \nL 87.133596 115.770753 \nL 90.443705 114.908064 \nL 93.886704 114.548077 \nL 97.382042 114.666503 \nL 100.856156 115.221368 \nL 104.245533 116.158194 \nL 107.498409 117.415457 \nL 110.575263 118.929662 \nL 113.448322 120.639493 \nL 116.100399 122.488808 \nL 118.523337 124.42845 \nL 120.716333 126.417053 \nL 122.684296 128.421057 \nL 124.436352 130.41417 \nL 125.98455 132.376544 \nL 128.525976 136.156056 \nL 130.427798 139.693166 \nL 131.807311 142.967065 \nL 132.769436 145.982897 \nL 133.402163 148.758958 \nL 133.77559 151.318994 \nL 133.942933 153.687886 \nL 133.887687 156.93418 \nL 133.529212 159.873925 \nL 132.894537 162.565273 \nL 132.31301 164.245003 \nL 131.59117 165.846677 \nL 130.70997 167.379848 \nL 129.643627 168.852181 \nL 128.359134 170.269102 \nL 126.815513 171.633055 \nL 124.962894 172.942182 \nL 122.741556 174.188158 \nL 120.081202 175.352802 \nL 116.900921 176.402914 \nL 113.110672 177.282607 \nL 108.615726 177.902241 \nL 106.075359 178.073624 \nL 103.326493 178.123129 \nL 100.361831 178.02251 \nL 97.177527 177.737821 \nL 93.774689 177.228717 \nL 90.161276 176.447931 \nL 86.354432 175.341019 \nL 82.383272 173.84665 \nL 78.292065 171.897697 \nL 74.143652 169.423577 \nL 70.02282 166.35424 \nL 66.039069 162.62634 \nL 62.328025 158.191929 \nL 59.050404 153.029741 \nL 56.387301 147.158557 \nL 54.530641 140.651115 \nL 53.668097 133.645985 \nL 53.962864 126.353601 \nL 55.53044 119.052207 \nL 58.41638 112.070335 \nL 62.580371 105.755155 \nL 67.891918 100.43039 \nL 74.140632 96.351832 \nL 81.060269 93.671279 \nL 88.361379 92.418357 \nL 95.764921 92.504713 \nL 103.029472 93.748289 \nL 109.967497 95.909735 \nL 116.450023 98.730828 \nL 122.402174 101.966574 \nL 127.793359 105.406433 \nL 132.625796 108.884215 \nL 136.923794 112.278892 \nL 140.725075 115.50962 \nL 147.018992 121.310348 \nL 151.88099 126.150124 \nL 162.194607 136.727266 \nL 164.182529 138.396436 \nL 166.028039 139.619943 \nL 167.824319 140.449272 \nL 169.63539 140.920581 \nL 171.500209 141.05904 \nL 173.435348 140.883102 \nL 175.436439 140.408813 \nL 177.478684 139.654288 \nL 179.516929 138.644381 \nL 181.486011 137.415308 \nL 183.302309 136.018713 \nL 184.867513 134.524303 \nL 186.07551 133.019764 \nL 186.822914 131.606819 \nL 186.995643 130.96829 \nL 187.022688 130.392598 \nL 186.898187 129.89187 \nL 186.619103 129.476839 \nL 186.185522 129.15638 \nL 185.600848 128.93713 \nL 184.871839 128.823193 \nL 183.023866 128.914157 \nL 180.754965 129.408912 \nL 178.210653 130.251177 \nL 175.549102 131.362008 \nL 172.921653 132.655516 \nL 170.457756 134.052196 \nL 168.256644 135.486957 \nL 166.385665 136.911339 \nL 164.883598 138.291409 \nL 163.76667 139.603591 \nL 163.03535 140.83016 \nL 162.680578 141.955542 \nL 162.688741 142.96373 \nL 163.045198 143.836801 \nL 163.736366 144.554183 \nL 164.750525 145.092477 \nL 166.077503 145.425623 \nL 167.707318 145.525389 \nL 169.627853 145.362288 \nL 171.821524 144.907109 \nL 174.260945 144.133375 \nL 176.903651 143.021115 \nL 179.686158 141.562262 \nL 182.518013 139.767803 \nL 185.277087 137.67633 \nL 187.808139 135.362697 \nL 189.927272 132.944243 \nL 190.770119 131.744192 \nL 191.435193 130.58077 \nL 191.899062 129.478836 \nL 192.140818 128.463835 \nL 192.14324 127.560707 \nL 191.893949 126.792683 \nL 191.386424 126.179996 \nL 190.620812 125.738649 \nL 189.604389 125.479374 \nL 188.351651 125.406884 \nL 186.883919 125.519563 \nL 185.228528 125.809618 \nL 183.417611 126.263703 \nL 179.472669 127.589424 \nL 175.342998 129.324646 \nL 171.300851 131.291866 \nL 167.562394 133.343285 \nL 164.273347 135.377155 \nL 161.512147 137.336351 \nL 159.303557 139.196536 \nL 157.635703 140.95193 \nL 156.475856 142.603599 \nL 155.78283 144.151934 \nL 155.515649 145.592854 \nL 155.63891 146.91652 \nL 156.125681 148.107331 \nL 156.958623 149.144373 \nL 158.129889 150.001741 \nL 159.640149 150.648612 \nL 161.496893 151.049049 \nL 163.711976 151.161665 \nL 166.29816 150.939469 \nL 169.264262 150.330373 \nL 172.608433 149.279003 \nL 176.308958 147.730886 \nL 180.312199 145.640232 \nL 184.517837 142.982844 \nL 186.648462 141.44452 \nL 188.762789 139.775135 \nL 190.828335 137.987148 \nL 192.80739 136.098796 \nL 194.657222 134.134822 \nL 196.330679 132.12699 \nL 197.777273 130.114223 \nL 198.94482 128.142181 \nL 199.781687 126.262152 \nL 200.23959 124.529133 \nL 200.27683 122.999033 \nL 199.861737 121.725139 \nL 198.975983 120.75404 \nL 197.617315 120.121525 \nL 195.80128 119.848939 \nL 193.561573 119.940662 \nL 190.948744 120.38322 \nL 188.027343 121.146329 \nL 184.871752 122.185789 \nL 181.561236 123.447897 \nL 174.786953 126.408454 \nL 168.259271 129.597174 \nL 162.370566 132.703199 \nL 157.329987 135.569363 \nL 153.194781 138.161875 \nL 149.92099 140.516584 \nL 147.410448 142.692685 \nL 145.545005 144.744907 \nL 144.207735 146.712166 \nL 143.294267 148.616299 \nL 142.717603 150.465444 \nL 142.409081 152.258486 \nL 142.317294 153.988982 \nL 142.406123 155.64797 \nL 142.652563 157.225621 \nL 143.044746 158.712021 \nL 143.580321 160.097279 \nL 144.265297 161.371173 \nL 145.113306 162.522493 \nL 146.145296 163.538114 \nL 147.389559 164.401831 \nL 148.882044 165.092919 \nL 150.666823 165.584353 \nL 152.796575 165.84057 \nL 155.332805 165.814738 \nL 158.345375 165.445428 \nL 161.910645 164.652847 \nL 166.107041 163.335029 \nL 171.006237 161.365089 \nL 173.736231 160.089129 \nL 176.657268 158.59184 \nL 179.76758 156.85188 \nL 183.059866 154.848181 \nL 186.51958 152.561199 \nL 190.122933 149.974665 \nL 193.834622 147.077933 \nL 197.605395 143.869035 \nL 201.369607 140.358435 \nL 205.043052 136.573424 \nL 208.521504 132.562896 \nL 211.680562 128.401985 \nL 214.377526 124.195692 \nL 216.456161 120.080293 \nL 217.755055 116.220939 \nL 218.120029 112.803911 \nL 217.42024 110.022256 \nL 215.566519 108.05495 \nL 212.52912 107.041538 \nL 208.350948 107.05677 \nL 203.151955 108.091584 \nL 197.121805 110.046899 \nL 190.50072 112.744176 \nL 183.551843 115.951676 \nL 169.663399 122.918039 \nL 157.031787 129.315135 \nL 146.432518 134.344877 \nL 137.976627 137.967956 \nL 128.730052 141.512635 \nL 120.876626 144.522728 \nL 116.938407 146.351014 \nL 108.085368 150.906246 \nL 106.041404 151.565937 \nL 103.862271 152.003175 \nL 101.540886 152.166884 \nL 99.092499 152.003897 \nL 96.556714 151.461182 \nL 94.000007 150.490172 \nL 92.742433 149.831779 \nL 91.517615 149.053855 \nL 90.341889 148.155249 \nL 89.233112 147.136962 \nL 88.21038 146.002571 \nL 87.293624 144.758641 \nL 86.503095 143.415105 \nL 85.858717 141.985517 \nL 85.379343 140.487201 \nL 85.081936 138.941188 \nL 84.980702 137.371943 \nL 85.086262 135.806831 \nL 85.404896 134.275327 \nL 85.937953 132.807997 \nL 86.681473 131.435286 \nL 87.626081 130.186203 \nL 88.757189 129.087014 \nL 90.055482 128.160036 \nL 91.497675 127.42264 \nL 93.057486 126.886613 \nL 94.706721 126.557794 \nL 96.416425 126.436175 \nL 98.157949 126.516299 \nL 99.903933 126.787964 \nL 101.629088 127.237115 \nL 103.310792 127.846859 \nL 104.929448 128.598462 \nL 106.46867 129.47233 \nL 107.91527 130.448817 \nL 109.259118 131.508902 \nL 110.492892 132.634703 \nL 112.613052 135.019518 \nL 114.260647 137.49251 \nL 115.44351 139.97012 \nL 116.18237 142.392726 \nL 116.502964 144.719456 \nL 116.430462 146.922664 \nL 115.985964 148.982889 \nL 115.184698 150.884567 \nL 114.035556 152.612374 \nL 112.541741 154.148091 \nL 110.702406 155.467732 \nL 108.515319 156.538841 \nL 105.980758 157.317907 \nL 103.106901 157.748116 \nL 101.549195 157.810623 \nL 99.917073 157.757916 \nL 98.217343 157.578805 \nL 96.459019 157.261387 \nL 94.653719 156.793287 \nL 92.816032 156.161986 \nL 90.963872 155.355294 \nL 89.118787 154.361953 \nL 87.306162 153.172444 \nL 85.555262 151.779897 \nL 83.899093 150.181228 \nL 82.373962 148.378331 \nL 81.018722 146.37935 \nL 79.873649 144.199888 \nL 78.978903 141.864012 \nL 78.372644 139.404874 \nL 78.088838 136.864795 \nL 78.15494 134.294608 \nL 78.589622 131.752149 \nL 79.400823 129.299858 \nL 80.584364 127.001642 \nL 82.123371 124.919175 \nL 83.988638 123.108021 \nL 86.139975 121.614058 \nL 88.528413 120.4706 \nL 91.099057 119.69663 \nL 93.794214 119.296265 \nL 96.556526 119.259574 \nL 99.33172 119.564448 \nL 102.070806 120.179263 \nL 104.731573 121.065914 \nL 107.279389 122.18286 \nL 109.687375 123.487845 \nL 111.936076 124.940112 \nL 114.012781 126.502021 \nL 115.910633 128.140059 \nL 117.627654 129.825348 \nL 119.165757 131.533722 \nL 120.529831 133.24552 \nL 121.726912 134.945192 \nL 123.654853 138.263424 \nL 125.024737 141.426637 \nL 125.912105 144.406694 \nL 126.384458 147.196512 \nL 126.496884 149.801016 \nL 126.290325 152.231001 \nL 125.79142 154.499157 \nL 125.013177 156.617428 \nL 123.955976 158.595148 \nL 122.608655 160.437511 \nL 120.949575 162.144019 \nL 118.947738 163.706532 \nL 116.564173 165.106687 \nL 113.754005 166.312315 \nL 110.469841 167.272593 \nL 108.635846 167.638222 \nL 106.667473 167.911747 \nL 104.561225 168.078546 \nL 102.315273 168.121451 \nL 99.93007 168.020514 \nL 97.409122 167.752826 \nL 94.759899 167.292445 \nL 91.994887 166.610478 \nL 89.132792 165.675415 \nL 86.199839 164.453794 \nL 83.231106 162.911342 \nL 80.271783 161.0147 \nL 77.378178 158.733878 \nL 74.618231 156.045483 \nL 72.071257 152.936777 \nL 69.82652 149.410379 \nL 67.980378 145.489286 \nL 66.631662 141.221607 \nL 65.875304 136.68413 \nL 65.794432 131.983621 \nL 66.451659 127.254778 \nL 67.880712 122.65402 \nL 70.079807 118.348942 \nL 73.008302 114.504247 \nL 76.587677 111.266005 \nL 80.707129 108.746858 \nL 85.233128 107.014967 \nL 90.021321 106.088831 \nL 94.928751 105.938831 \nL 99.824446 106.494759 \nL 104.59701 107.657456 \nL 109.158707 109.311964 \nL 113.446279 111.339886 \nL 117.419311 113.629213 \nL 121.057044 116.080942 \nL 124.35455 118.612481 \nL 127.318908 121.15846 \nL 129.965755 123.669702 \nL 132.31642 126.111135 \nL 134.395655 128.4593 \nL 137.846049 132.825207 \nL 140.528706 136.723509 \nL 142.640345 140.167581 \nL 148.402979 150.17701 \nL 149.718907 151.909237 \nL 151.142034 153.373295 \nL 152.732606 154.571995 \nL 154.54627 155.497794 \nL 156.636457 156.132262 \nL 159.055647 156.445348 \nL 161.855255 156.394478 \nL 165.083678 155.923766 \nL 168.781785 154.963933 \nL 172.974839 153.433991 \nL 175.257536 152.427883 \nL 177.659555 151.246439 \nL 180.1729 149.879572 \nL 182.785023 148.318724 \nL 185.477873 146.557826 \nL 188.226863 144.594477 \nL 190.999843 142.431402 \nL 193.756139 140.078109 \nL 196.445799 137.552722 \nL 199.00922 134.883855 \nL 201.377341 132.112317 \nL 203.472682 129.292364 \nL 205.211457 126.492104 \nL 206.506986 123.792601 \nL 207.274494 121.285238 \nL 207.437255 119.066991 \nL 206.93364 117.233554 \nL 205.724421 115.870739 \nL 203.799266 115.044981 \nL 201.181217 114.794565 \nL 197.927996 115.123207 \nL 194.1294 115.997757 \nL 189.900779 117.350958 \nL 185.373436 119.089099 \nL 180.683467 121.103266 \nL 171.321048 125.522358 \nL 158.725165 131.870938 \nL 148.937538 136.981992 \nL 144.004807 139.725065 \nL 140.160236 142.103709 \nL 137.194055 144.258923 \nL 134.899708 146.293157 \nL 133.092822 148.268076 \nL 131.61732 150.213447 \nL 129.751272 153.091746 \nL 126.791831 157.728473 \nL 125.453644 159.494557 \nL 123.939542 161.191324 \nL 122.195566 162.804415 \nL 120.167613 164.315867 \nL 117.799947 165.701245 \nL 115.034874 166.925727 \nL 111.814062 167.938918 \nL 108.082299 168.668173 \nL 106.010143 168.895541 \nL 103.794951 169.010381 \nL 101.434904 168.993537 \nL 98.930859 168.822825 \nL 96.287207 168.472845 \nL 93.512885 167.914922 \nL 90.622583 167.117245 \nL 87.638071 166.045298 \nL 84.589644 164.662716 \nL 81.517576 162.932675 \nL 78.473434 160.820015 \nL 75.521072 158.294167 \nL 72.736957 155.333007 \nL 70.209519 151.927582 \nL 68.03711 148.087478 \nL 66.324192 143.846352 \nL 65.175555 139.266828 \nL 64.688611 134.443664 \nL 64.944221 129.503914 \nL 65.997081 124.602885 \nL 67.867099 119.915248 \nL 70.533514 115.621508 \nL 73.933243 111.8913 \nL 77.964385 108.866031 \nL 82.494675 106.644103 \nL 87.37359 105.271611 \nL 92.44597 104.740361 \nL 97.564796 104.993222 \nL 102.601183 105.935277 \nL 107.450585 107.448035 \nL 112.035114 109.403834 \nL 116.30267 111.678104 \nL 120.223923 114.158197 \nL 123.788232 116.74852 \nL 126.999336 119.37237 \nL 129.871375 121.971397 \nL 132.42551 124.503571 \nL 134.687238 126.940464 \nL 138.445366 131.465858 \nL 141.371391 135.4906 \nL 143.677171 139.025965 \nL 149.979298 149.107755 \nL 151.417551 150.79829 \nL 152.970242 152.198793 \nL 154.700953 153.311307 \nL 156.667119 154.126624 \nL 158.92218 154.623938 \nL 161.516354 154.770435 \nL 164.49569 154.520906 \nL 167.898876 153.817948 \nL 171.751036 152.593461 \nL 176.053542 150.772862 \nL 178.36399 149.615998 \nL 180.76885 148.284021 \nL 183.253954 146.770973 \nL 185.799845 145.073652 \nL 188.380912 143.192723 \nL 190.964582 141.134001 \nL 193.510617 138.909924 \nL 195.970665 136.541063 \nL 198.288202 134.057599 \nL 200.399053 131.500534 \nL 202.232677 128.922397 \nL 203.714418 126.387096 \nL 204.768835 123.968584 \nL 205.324126 121.748011 \nL 205.31751 119.809227 \nL 204.701136 118.232655 \nL 203.447917 117.088045 \nL 201.556403 116.426933 \nL 199.053751 116.275994 \nL 195.996019 116.632705 \nL 192.465325 117.464357 \nL 188.56402 118.711059 \nL 184.406635 120.29236 \nL 180.110829 122.116415 \nL 171.539961 126.126761 \nL 159.960124 131.98772 \nL 150.885913 136.865566 \nL 146.285198 139.56276 \nL 142.694538 141.944274 \nL 139.934795 144.125099 \nL 137.825052 146.191525 \nL 136.201406 148.197006 \nL 134.924041 150.168341 \nL 133.411571 153.077783 \nL 129.909144 160.448366 \nL 128.857084 162.16832 \nL 127.645552 163.829293 \nL 126.230874 165.426688 \nL 124.566117 166.954171 \nL 122.599398 168.401654 \nL 120.272682 169.752513 \nL 117.521325 170.979688 \nL 114.274828 172.040236 \nL 110.459681 172.867831 \nL 108.31653 173.164734 \nL 106.005723 173.362714 \nL 103.520984 173.441988 \nL 100.858215 173.378988 \nL 98.016414 173.145905 \nL 94.998843 172.710303 \nL 91.814439 172.03489 \nL 88.479516 171.077521 \nL 85.019734 169.791622 \nL 81.472259 168.127205 \nL 77.888047 166.03273 \nL 74.333972 163.45807 \nL 70.894506 160.358845 \nL 67.672418 156.702303 \nL 64.787906 152.47471 \nL 62.375435 147.68992 \nL 60.577601 142.398241 \nL 59.535657 136.694111 \nL 59.376865 130.720537 \nL 60.19969 124.667884 \nL 62.058923 118.765079 \nL 64.953556 113.262272 \nL 68.820541 108.406265 \nL 73.536771 104.412351 \nL 78.929867 101.438045 \nL 84.796154 99.564616 \nL 90.922227 98.790656 \nL 97.105728 99.038785 \nL 103.171587 100.173057 \nL 108.981642 102.022212 \nL 114.437524 104.40332 \nL 119.478245 107.141443 \nL 124.074492 110.08302 \nL 128.221635 113.102682 \nL 131.932857 116.104661 \nL 135.233252 119.020533 \nL 138.155138 121.804959 \nL 143.009051 126.88449 \nL 146.789892 131.265373 \nL 152.202075 138.087606 \nL 155.226636 141.782791 \nL 157.055123 143.685107 \nL 158.87133 145.187328 \nL 160.765368 146.314058 \nL 162.807404 147.075848 \nL 165.050802 147.470771 \nL 167.533528 147.486361 \nL 170.277528 147.102085 \nL 173.285932 146.292903 \nL 176.537939 145.034521 \nL 179.981564 143.31108 \nL 183.524882 141.125983 \nL 187.027365 138.515909 \nL 190.294279 135.566865 \nL 191.763997 134.009283 \nL 193.078827 132.428649 \nL 194.202344 130.854716 \nL 195.097826 129.321133 \nL 195.729813 127.86455 \nL 196.065927 126.523253 \nL 196.078892 125.335376 \nL 195.748575 124.336741 \nL 195.063891 123.558526 \nL 194.024326 123.024943 \nL 192.640867 122.751241 \nL 190.936143 122.742317 \nL 188.943717 122.992212 \nL 186.706493 123.484539 \nL 184.274413 124.193916 \nL 181.701649 125.08822 \nL 176.354208 127.285768 \nL 171.074572 129.789092 \nL 166.184678 132.361797 \nL 161.890501 134.853408 \nL 158.288854 137.195428 \nL 155.393214 139.376315 \nL 153.16391 141.413229 \nL 151.5341 143.330767 \nL 150.428573 145.148973 \nL 149.775731 146.878682 \nL 149.514291 148.52121 \nL 149.596389 150.069928 \nL 149.988442 151.512192 \nL 150.670792 152.830812 \nL 151.636733 154.004813 \nL 152.891321 155.009474 \nL 154.450112 155.815714 \nL 156.337832 156.38893 \nL 158.586786 156.687477 \nL 161.234701 156.660952 \nL 164.321462 156.248555 \nL 167.883953 155.378083 \nL 171.947979 153.966502 \nL 176.515894 151.92366 \nL 178.978825 150.637524 \nL 181.54854 149.161619 \nL 184.2096 147.488288 \nL 186.940534 145.612998 \nL 189.712779 143.53564 \nL 192.489673 141.262108 \nL 195.22556 138.806073 \nL 197.865206 136.19087 \nL 200.343678 133.451328 \nL 202.586938 130.635308 \nL 204.513418 127.804568 \nL 206.036804 125.034558 \nL 207.070187 122.412663 \nL 207.531628 120.034484 \nL 207.350906 117.997922 \nL 206.476862 116.395253 \nL 204.88449 115.303835 \nL 202.580592 114.776667 \nL 199.606739 114.834555 \nL 196.038578 115.461635 \nL 191.981076 116.605671 \nL 187.560137 118.183559 \nL 182.911857 120.091189 \nL 178.171212 122.215848 \nL 168.889517 126.694545 \nL 153.272809 134.655377 \nL 144.950708 139.132477 \nL 140.859488 141.581827 \nL 137.698649 143.776611 \nL 135.257373 145.829951 \nL 133.344302 147.812838 \nL 131.795924 149.761628 \nL 129.868535 152.644685 \nL 126.894197 157.299314 \nL 125.571526 159.076478 \nL 124.082756 160.786301 \nL 122.373332 162.414436 \nL 120.389102 163.94328 \nL 118.074652 165.34925 \nL 115.372777 166.59905 \nL 112.225533 167.644707 \nL 108.577584 168.417162 \nL 106.550853 168.671669 \nL 104.383042 168.81835 \nL 102.071845 168.838942 \nL 99.617425 168.712256 \nL 97.023215 168.413974 \nL 94.296884 167.916556 \nL 91.451475 167.18933 \nL 88.506679 166.198825 \nL 85.490236 164.909505 \nL 82.439377 163.285006 \nL 79.402158 161.29002 \nL 76.438543 158.892958 \nL 73.620899 156.069526 \nL 71.033667 152.807132 \nL 68.771713 149.110032 \nL 66.937075 145.004789 \nL 65.633805 140.545313 \nL 64.960861 135.816532 \nL 65.00343 130.935457 \nL 65.823464 126.048396 \nL 67.450811 121.323567 \nL 69.876524 116.938973 \nL 73.049971 113.066673 \nL 76.880821 109.855647 \nL 81.246048 107.416273 \nL 86.000959 105.809458 \nL 90.992376 105.042525 \nL 96.071623 105.072477 \nL 101.105299 105.815506 \nL 105.982521 107.160307 \nL 110.618303 108.98243 \nL 114.953569 111.15709 \nL 118.952726 113.568942 \nL 122.599898 116.118176 \nL 125.894696 118.723248 \nL 128.848173 121.321014 \nL 131.479304 123.865093 \nL 133.81213 126.32336 \nL 137.691647 130.90864 \nL 140.709726 135.003571 \nL 143.079269 138.610895 \nL 146.596298 144.515506 \nL 148.723991 147.96886 \nL 150.102593 149.872355 \nL 151.545924 151.482157 \nL 153.122874 152.807949 \nL 154.894348 153.848482 \nL 156.91624 154.591308 \nL 159.241244 155.012351 \nL 161.919264 155.075381 \nL 164.996029 154.73162 \nL 168.509312 153.919976 \nL 172.481939 152.56883 \nL 176.910531 150.600885 \nL 179.283641 149.362255 \nL 181.74896 147.943334 \nL 184.290384 146.338736 \nL 186.886074 144.546239 \nL 189.507584 142.56802 \nL 192.119029 140.412056 \nL 194.676431 138.093671 \nL 197.12736 135.637122 \nL 199.411043 133.077073 \nL 201.459157 130.459716 \nL 203.197475 127.843241 \nL 204.548574 125.297311 \nL 205.435706 122.90114 \nL 205.787784 120.739939 \nL 205.54523 118.899561 \nL 204.666199 117.459622 \nL 203.132387 116.485674 \nL 200.953467 116.021531 \nL 198.169208 116.083073 \nL 194.848523 116.654961 \nL 191.085216 117.691233 \nL 186.990849 119.120084 \nL 182.685741 120.852034 \nL 173.912744 124.839924 \nL 165.578575 128.9586 \nL 154.96674 134.465555 \nL 149.396316 137.513988 \nL 144.970722 140.139567 \nL 141.531184 142.468404 \nL 138.890085 144.614953 \nL 136.864426 146.660854 \nL 135.291471 148.654373 \nL 134.033855 150.618131 \nL 132.498498 153.51852 \nL 129.714138 159.08957 \nL 128.074892 161.710915 \nL 126.78177 163.383114 \nL 125.274709 164.987488 \nL 123.504622 166.515245 \nL 121.417853 167.953086 \nL 118.955174 169.280043 \nL 116.051723 170.463152 \nL 112.638475 171.451463 \nL 108.646252 172.167971 \nL 106.413252 172.390582 \nL 104.013885 172.499145 \nL 101.444157 172.471694 \nL 98.702926 172.282362 \nL 95.792944 171.901027 \nL 92.722153 171.293097 \nL 89.505218 170.419493 \nL 86.165303 169.237008 \nL 82.736062 167.699183 \nL 79.263696 165.757905 \nL 75.808947 163.365994 \nL 72.448698 160.480978 \nL 69.276783 157.070245 \nL 66.40346 153.117566 \nL 63.952907 148.630759 \nL 62.058179 143.649753 \nL 60.853158 138.253924 \nL 60.461571 132.566883 \nL 60.983814 126.756685 \nL 62.483186 121.029552 \nL 64.973904 115.616045 \nL 68.413746 110.75022 \nL 72.70358 106.644546 \nL 77.694874 103.465035 \nL 83.204279 101.311849 \nL 89.032605 100.209755 \nL 94.984392 100.110371 \nL 100.884438 100.904961 \nL 106.588908 102.444158 \nL 111.990263 104.55974 \nL 117.016842 107.084122 \nL 121.628742 109.864896 \nL 125.811825 112.773366 \nL 129.571342 115.707801 \nL 132.926111 118.592695 \nL 135.903717 121.375596 \nL 140.860403 126.515528 \nL 144.720376 131.009774 \nL 149.037066 136.565323 \nL 153.200258 142.072898 \nL 154.982457 144.147966 \nL 156.733507 145.829361 \nL 158.548434 147.14317 \nL 160.50318 148.101495 \nL 162.65828 148.703445 \nL 165.060949 148.936369 \nL 167.745286 148.777449 \nL 170.730292 148.196082 \nL 174.015438 147.157624 \nL 177.573572 145.629411 \nL 181.341263 143.590025 \nL 185.207373 141.04271 \nL 189.001946 138.033129 \nL 190.80135 136.385864 \nL 192.48939 134.669641 \nL 194.026974 132.910747 \nL 195.372346 131.14104 \nL 196.482356 129.397654 \nL 197.314148 127.722186 \nL 197.827267 126.15932 \nL 197.986088 124.754829 \nL 197.762426 123.553026 \nL 197.138074 122.593806 \nL 196.107018 121.909598 \nL 194.67697 121.522529 \nL 192.869994 121.442266 \nL 190.721991 121.664894 \nL 188.281012 122.173083 \nL 185.604545 122.937619 \nL 182.756034 123.920137 \nL 176.803736 126.361087 \nL 170.911884 129.141731 \nL 165.460517 131.97324 \nL 160.686346 134.678239 \nL 156.692691 137.184622 \nL 153.483499 139.491118 \nL 151.001633 141.629901 \nL 149.160535 143.63963 \nL 147.866185 145.551217 \nL 147.030407 147.383153 \nL 146.577826 149.142088 \nL 146.448695 150.825536 \nL 146.599281 152.424743 \nL 147.001013 153.926951 \nL 147.639117 155.316708 \nL 148.511203 156.57637 \nL 149.626017 157.685833 \nL 151.002448 158.6217 \nL 152.668739 159.355966 \nL 154.661762 159.854271 \nL 157.026131 160.073792 \nL 159.812728 159.960852 \nL 163.076037 159.44846 \nL 166.869395 158.45428 \nL 171.236801 156.87996 \nL 173.64381 155.840653 \nL 176.199508 154.613689 \nL 178.899594 153.184428 \nL 181.735235 151.539039 \nL 184.69189 149.665477 \nL 187.747964 147.554767 \nL 190.873355 145.202654 \nL 194.027968 142.611622 \nL 197.160311 139.793301 \nL 200.206364 136.771134 \nL 203.088979 133.58315 \nL 205.718163 130.284486 \nL 207.992629 126.9492 \nL 209.803016 123.670708 \nL 211.037144 120.560074 \nL 211.587447 117.741441 \nL 211.360339 115.34403 \nL 210.28682 113.490837 \nL 208.332962 112.284853 \nL 205.508387 111.794781 \nL 201.870722 112.043066 \nL 197.52431 112.999365 \nL 192.612569 114.581728 \nL 187.304846 116.66621 \nL 181.780028 119.103232 \nL 170.74622 124.424187 \nL 144.829479 137.30608 \nL 136.946247 141.248194 \nL 133.138128 143.370589 \nL 130.173786 145.293062 \nL 127.812731 147.1201 \nL 125.851927 148.904387 \nL 122.498211 152.392266 \nL 120.01378 154.891964 \nL 118.205083 156.45996 \nL 116.193982 157.914311 \nL 113.922824 159.218936 \nL 111.342387 160.329698 \nL 108.412583 161.190949 \nL 105.105666 161.731452 \nL 103.306984 161.853881 \nL 101.412585 161.860299 \nL 99.425921 161.735769 \nL 97.353107 161.463894 \nL 95.203471 161.026938 \nL 92.990162 160.406081 \nL 90.730771 159.581843 \nL 88.447961 158.534737 \nL 86.170035 157.246182 \nL 83.93137 155.69972 \nL 81.772624 153.882567 \nL 79.740589 151.787487 \nL 77.887577 149.414926 \nL 76.270195 146.775285 \nL 74.947416 143.891139 \nL 73.9779 140.799074 \nL 73.416606 137.550815 \nL 73.310881 134.213203 \nL 73.696343 130.866682 \nL 74.59304 127.60207 \nL 76.002396 124.515619 \nL 77.905506 121.702693 \nL 80.263191 119.250755 \nL 83.017949 117.232531 \nL 86.097672 115.700407 \nL 89.420658 114.682842 \nL 92.901253 114.183376 \nL 96.455349 114.182199 \nL 100.005126 114.639937 \nL 103.48256 115.502827 \nL 106.831538 116.708472 \nL 110.008629 118.191301 \nL 112.982774 119.887162 \nL 115.734181 121.736728 \nL 118.252772 123.687665 \nL 120.536431 125.695669 \nL 122.589276 127.724605 \nL 124.420065 129.746063 \nL 126.040806 131.738499 \nL 127.465607 133.686245 \nL 129.788917 137.408201 \nL 131.514262 140.866711 \nL 132.758593 144.054185 \nL 133.623684 146.983346 \nL 134.193284 149.676398 \nL 134.533214 152.158775 \nL 134.71685 155.542123 \nL 134.601898 158.584674 \nL 134.243824 161.35045 \nL 133.65674 163.891312 \nL 132.821901 166.249196 \nL 132.105265 167.736588 \nL 131.236547 169.166358 \nL 130.188244 170.54549 \nL 128.925936 171.879165 \nL 127.407326 173.170018 \nL 125.581107 174.416834 \nL 123.385776 175.612401 \nL 120.748621 176.740151 \nL 117.585327 177.768989 \nL 113.800977 178.645536 \nL 109.293903 179.282768 \nL 106.737802 179.471416 \nL 103.964794 179.544017 \nL 100.965819 179.472252 \nL 97.735034 179.221806 \nL 94.271323 178.751567 \nL 90.580244 178.012921 \nL 86.676461 176.949318 \nL 82.58668 175.496315 \nL 78.353096 173.582442 \nL 74.037166 171.131288 \nL 69.723503 168.065345 \nL 65.523275 164.312177 \nL 61.576349 159.813416 \nL 58.051009 154.536797 \nL 55.139821 148.490838 \nL 53.050207 141.74074 \nL 51.988746 134.422764 \nL 52.139316 126.752817 \nL 53.63713 119.024352 \nL 56.542977 111.5911 \nL 60.823828 104.83328 \nL 66.346127 99.110711 \nL 72.885826 94.711807 \nL 80.154627 91.811076 \nL 87.836758 90.446619 \nL 95.627347 90.523603 \nL 103.263569 91.84144 \nL 110.543065 94.135302 \nL 117.328882 97.120192 \nL 123.543856 100.527441 \nL 129.159046 104.128439 \nL 134.180505 107.745174 \nL 138.637215 111.250385 \nL 142.571515 114.561305 \nL 149.07008 120.437095 \nL 156.131147 127.298633 \nL 163.459071 134.477456 \nL 165.536019 136.252464 \nL 167.368985 137.555437 \nL 169.064095 138.456521 \nL 170.695027 139.007708 \nL 172.308254 139.247913 \nL 173.927045 139.20764 \nL 175.554395 138.913233 \nL 177.175153 138.390777 \nL 178.757807 137.669678 \nL 180.256359 136.785725 \nL 181.612919 135.783408 \nL 182.761476 134.716962 \nL 183.633281 133.649646 \nL 184.163824 132.650789 \nL 184.30098 131.790572 \nL 184.211198 131.432906 \nL 184.013291 131.132983 \nL 183.707679 130.896574 \nL 182.784941 130.630731 \nL 181.485783 130.653361 \nL 179.881372 130.958152 \nL 178.063895 131.517016 \nL 176.136389 132.28602 \nL 173.262091 133.719154 \nL 170.672706 135.333809 \nL 168.586455 136.984876 \nL 167.541426 138.051333 \nL 166.796819 139.061216 \nL 166.360003 139.993859 \nL 166.230473 140.83043 \nL 166.402624 141.552538 \nL 166.86774 142.141378 \nL 167.615107 142.577364 \nL 168.632233 142.840181 \nL 169.904259 142.909291 \nL 171.412582 142.764823 \nL 173.132794 142.389038 \nL 175.032029 141.768406 \nL 177.065932 140.896428 \nL 179.175607 139.777234 \nL 181.285067 138.429766 \nL 183.300097 136.892095 \nL 185.109565 135.224953 \nL 186.590404 133.513022 \nL 187.617193 131.862353 \nL 187.923906 131.097124 \nL 188.076386 130.392349 \nL 188.06517 129.762775 \nL 187.883748 129.222009 \nL 187.529025 128.781915 \nL 187.001688 128.452058 \nL 186.30639 128.239238 \nL 185.451774 128.147149 \nL 184.450285 128.176229 \nL 182.073047 128.583678 \nL 179.331943 129.405696 \nL 176.406576 130.554081 \nL 173.474321 131.927858 \nL 170.690001 133.431377 \nL 168.173712 134.986064 \nL 166.00731 136.53449 \nL 164.237692 138.038327 \nL 162.883932 139.473071 \nL 161.945652 140.822198 \nL 161.410806 142.072251 \nL 161.261969 143.209487 \nL 161.480858 144.217888 \nL 162.051128 145.078239 \nL 162.959704 145.767822 \nL 164.196857 146.26047 \nL 165.755202 146.526834 \nL 167.627674 146.53495 \nL 169.804464 146.251249 \nL 172.26885 145.642333 \nL 174.991818 144.677965 \nL 177.92553 143.335758 \nL 180.995965 141.608057 \nL 184.095593 139.511078 \nL 187.077823 137.095863 \nL 189.755966 134.459078 \nL 190.913227 133.102176 \nL 191.910385 131.750053 \nL 192.717954 130.429252 \nL 193.307526 129.168523 \nL 193.653095 127.997866 \nL 193.732502 126.94725 \nL 193.528911 126.045124 \nL 193.032174 125.316781 \nL 192.239972 124.782717 \nL 191.158567 124.457199 \nL 189.803055 124.347174 \nL 188.197018 124.451708 \nL 186.371609 124.76206 \nL 184.36409 125.262422 \nL 179.970917 126.742733 \nL 175.363174 128.682723 \nL 170.859488 130.867105 \nL 166.70817 133.120989 \nL 163.070496 135.329904 \nL 160.026494 137.436008 \nL 157.59331 139.421324 \nL 155.746846 141.28891 \nL 154.440932 143.048227 \nL 153.621747 144.706405 \nL 153.237484 146.264355 \nL 153.244073 147.715908 \nL 153.608079 149.048382 \nL 154.307725 150.243489 \nL 155.332728 151.277995 \nL 156.683412 152.123895 \nL 158.369306 152.748125 \nL 160.407261 153.111877 \nL 162.818883 153.169748 \nL 165.626961 152.869076 \nL 168.850309 152.149944 \nL 172.496317 150.94671 \nL 176.550363 149.19229 \nL 180.961378 146.826866 \nL 183.270355 145.401923 \nL 185.623414 143.813204 \nL 187.995264 142.063478 \nL 190.354586 140.160378 \nL 192.663572 138.11757 \nL 194.877709 135.955926 \nL 196.945943 133.704584 \nL 198.81136 131.401743 \nL 200.412508 129.094928 \nL 201.685495 126.840568 \nL 202.566928 124.702549 \nL 202.997657 122.749605 \nL 202.927149 121.051485 \nL 202.318143 119.673984 \nL 201.151099 118.673275 \nL 199.427773 118.090211 \nL 197.173242 117.945451 \nL 194.435879 118.236434 \nL 191.284957 118.936846 \nL 187.806084 119.999 \nL 184.094976 121.358832 \nL 180.250489 122.942732 \nL 172.533103 126.484602 \nL 165.283013 130.105098 \nL 158.898045 133.477728 \nL 153.547648 136.479526 \nL 149.232201 139.127195 \nL 145.852593 141.50057 \nL 143.26542 143.68828 \nL 141.318469 145.761102 \nL 139.870117 147.764976 \nL 138.797986 149.723999 \nL 138.001227 151.646804 \nL 137.151308 154.460453 \nL 136.369664 158.051115 \nL 135.195104 163.790063 \nL 134.33176 166.746631 \nL 133.479773 168.825322 \nL 132.373566 170.801812 \nL 131.451269 172.070907 \nL 130.343285 173.306505 \nL 129.009826 174.512003 \nL 127.402999 175.68859 \nL 125.465285 176.833566 \nL 123.128021 177.937733 \nL 120.310173 178.981346 \nL 116.917862 179.92793 \nL 112.845678 180.71495 \nL 107.981495 181.240138 \nL 105.218134 181.35709 \nL 102.217909 181.342156 \nL 98.971886 181.161755 \nL 95.475281 180.775165 \nL 91.72937 180.1336 \nL 87.743935 179.179473 \nL 83.540289 177.846048 \nL 79.154936 176.057809 \nL 74.643742 173.731976 \nL 70.08645 170.781759 \nL 65.591023 167.122003 \nL 61.297028 162.677935 \nL 57.376904 157.39748 \nL 54.033455 151.267131 \nL 51.491832 144.33026 \nL 49.984373 136.705277 \nL 49.727851 128.59923 \nL 50.89451 120.310841 \nL 53.581174 112.217127 \nL 57.783266 104.740096 \nL 63.381829 98.295558 \nL 70.149613 93.233035 \nL 77.777476 89.781489 \nL 85.915569 88.016055 \nL 94.218949 87.855322 \nL 102.386282 89.088619 \nL 110.183918 91.423265 \nL 117.453416 94.537173 \nL 124.105719 98.123711 \nL 130.107642 101.921448 \nL 135.466086 105.727671 \nL 140.213676 109.398984 \nL 148.071115 116.012087 \nL 154.106224 121.456215 \nL 166.250024 132.665896 \nL 169.141288 134.945408 \nL 170.710642 135.932829 \nL 172.101535 136.584937 \nL 173.373392 136.959034 \nL 174.562319 137.100298 \nL 175.685594 137.046104 \nL 176.745342 136.829495 \nL 178.191701 136.268624 \nL 179.402201 135.520736 \nL 180.28458 134.701044 \nL 180.747065 133.930045 \nL 180.787727 133.500622 \nL 180.603037 133.173866 \nL 180.196388 132.972619 \nL 179.583872 132.911294 \nL 178.344024 133.089948 \nL 176.843646 133.570773 \nL 175.247658 134.29526 \nL 173.722354 135.183945 \nL 172.412582 136.152049 \nL 171.428428 137.119971 \nL 170.841644 138.017496 \nL 170.690604 138.546254 \nL 170.736529 139.000214 \nL 170.977914 139.36437 \nL 171.408857 139.624889 \nL 172.019341 139.769229 \nL 173.239513 139.744746 \nL 174.763493 139.408803 \nL 176.496998 138.753882 \nL 178.314229 137.800067 \nL 180.056505 136.604426 \nL 181.538326 135.26746 \nL 182.284966 134.366516 \nL 182.775156 133.515253 \nL 182.96456 132.765422 \nL 182.823832 132.165829 \nL 182.343387 131.757031 \nL 181.536384 131.566537 \nL 180.439033 131.605594 \nL 179.107891 131.868379 \nL 176.831655 132.632638 \nL 174.459104 133.736016 \nL 172.243932 135.04342 \nL 170.388628 136.428133 \nL 169.029457 137.785555 \nL 168.437832 138.63375 \nL 168.110357 139.412088 \nL 168.049427 140.101696 \nL 168.2521 140.684584 \nL 168.711462 141.143096 \nL 169.417367 141.459736 \nL 170.356525 141.617379 \nL 171.511982 141.599838 \nL 172.862005 141.392844 \nL 174.378522 140.985466 \nL 176.025241 140.372031 \nL 177.755711 139.55449 \nL 179.511676 138.545153 \nL 181.222259 137.369531 \nL 182.8046 136.068704 \nL 184.166695 134.70052 \nL 185.212974 133.33859 \nL 185.852857 132.068272 \nL 186.011699 130.979069 \nL 185.894676 130.528928 \nL 185.642553 130.154073 \nL 185.255461 129.861937 \nL 184.736299 129.658135 \nL 184.090771 129.546248 \nL 182.456755 129.601598 \nL 180.44868 130.01343 \nL 178.189545 130.737388 \nL 175.814634 131.709218 \nL 173.455748 132.85687 \nL 171.228481 134.111273 \nL 169.22456 135.413364 \nL 167.509419 136.716723 \nL 166.123995 137.986746 \nL 165.089045 139.197788 \nL 164.410461 140.329759 \nL 164.084399 141.36509 \nL 164.101552 142.286482 \nL 164.45027 143.075502 \nL 165.11847 143.711851 \nL 166.094406 144.173176 \nL 167.366385 144.435275 \nL 168.921518 144.472696 \nL 170.743558 144.259805 \nL 172.809856 143.772488 \nL 175.087496 142.990756 \nL 177.528781 141.902436 \nL 180.066459 140.508195 \nL 182.609402 138.827728 \nL 185.039993 136.906595 \nL 187.214968 134.822247 \nL 188.971729 132.687061 \nL 189.640378 131.644494 \nL 190.142 130.645285 \nL 190.458191 129.710481 \nL 190.573209 128.861071 \nL 190.474869 128.117088 \nL 190.155389 127.496652 \nL 189.612081 127.015011 \nL 188.847857 126.683656 \nL 187.871434 126.509656 \nL 186.697243 126.49521 \nL 185.344998 126.637554 \nL 183.838933 126.929219 \nL 180.478711 127.910731 \nL 176.859007 129.313434 \nL 173.220214 130.991893 \nL 169.76863 132.811848 \nL 166.658068 134.669218 \nL 163.985966 136.495234 \nL 161.800167 138.251229 \nL 160.11105 139.918744 \nL 158.904615 141.489608 \nL 158.153913 142.95845 \nL 157.827758 144.318103 \nL 157.896659 145.557352 \nL 158.336388 146.660165 \nL 159.129691 147.605633 \nL 160.266621 148.368136 \nL 161.743793 148.917463 \nL 163.562737 149.2189 \nL 165.727301 149.233333 \nL 168.239979 148.917764 \nL 171.096853 148.226634 \nL 174.280819 147.114653 \nL 177.75282 145.541954 \nL 181.441099 143.482608 \nL 185.229204 140.937259 \nL 188.944747 137.949953 \nL 190.704328 136.320935 \nL 192.352797 134.627293 \nL 193.851673 132.894851 \nL 195.16003 131.154832 \nL 196.235738 129.443516 \nL 197.037124 127.801436 \nL 197.525017 126.272 \nL 197.665092 124.899531 \nL 197.430375 123.726807 \nL 196.803671 122.792213 \nL 195.779653 122.126813 \nL 194.366303 121.751677 \nL 192.58546 121.675847 \nL 190.472296 121.895291 \nL 188.073668 122.393117 \nL 185.445492 123.141056 \nL 182.649406 124.102039 \nL 176.806895 126.49136 \nL 171.020504 129.218882 \nL 165.661285 132.004276 \nL 160.962233 134.673595 \nL 157.027131 137.154088 \nL 153.862824 139.441785 \nL 151.416019 141.565751 \nL 149.604004 143.562053 \nL 148.336185 145.459755 \nL 147.527257 147.276131 \nL 147.104211 149.017046 \nL 147.009256 150.679398 \nL 147.200342 152.253846 \nL 147.650409 153.726913 \nL 148.346119 155.082229 \nL 149.286504 156.300933 \nL 150.481744 157.361348 \nL 151.952149 158.238076 \nL 153.727285 158.900601 \nL 155.84508 159.311489 \nL 158.350616 159.424246 \nL 161.294131 159.180994 \nL 164.72755 158.510269 \nL 168.698488 157.3256 \nL 173.240298 155.526097 \nL 175.728069 154.36136 \nL 178.356275 153.001272 \nL 181.11676 151.432572 \nL 183.99602 149.643621 \nL 186.973965 147.625583 \nL 190.022558 145.373941 \nL 193.104413 142.890368 \nL 196.171474 140.184935 \nL 199.163908 137.278578 \nL 202.009499 134.205683 \nL 204.623777 131.016506 \nL 206.911324 127.778941 \nL 208.768547 124.579164 \nL 210.088318 121.52036 \nL 210.766607 118.71891 \nL 210.710995 116.297502 \nL 209.850436 114.375096 \nL 208.145194 113.054451 \nL 205.595255 112.408801 \nL 202.245388 112.470069 \nL 198.18517 113.221544 \nL 193.543198 114.597244 \nL 188.4759 116.48908 \nL 183.152783 118.760665 \nL 172.390868 123.861958 \nL 140.860742 139.631542 \nL 136.45737 141.993529 \nL 133.049231 144.066231 \nL 130.384995 145.987853 \nL 128.243929 147.839626 \nL 125.618563 150.560535 \nL 120.863841 155.772644 \nL 119.08102 157.37521 \nL 117.081893 158.866693 \nL 114.809352 160.213353 \nL 112.21272 161.373198 \nL 109.248496 162.292179 \nL 105.883603 162.899639 \nL 104.044925 163.058731 \nL 102.101829 163.10348 \nL 100.056646 163.018336 \nL 97.914333 162.786019 \nL 95.683072 162.387571 \nL 93.374935 161.802571 \nL 91.006611 161.009481 \nL 88.600147 159.98626 \nL 86.183664 158.711257 \nL 83.791963 157.164433 \nL 81.466917 155.328989 \nL 79.257536 153.193387 \nL 77.219516 150.75373 \nL 75.41415 148.0164 \nL 73.906443 145.00074 \nL 72.762307 141.741478 \nL 72.04489 138.290429 \nL 71.810188 134.717023 \nL 72.102224 131.107179 \nL 72.948385 127.560105 \nL 74.355512 124.183047 \nL 76.307464 121.08415 \nL 78.764675 118.364268 \nL 81.666019 116.108711 \nL 84.932857 114.380236 \nL 88.474773 113.214336 \nL 92.19617 112.617623 \nL 96.002809 112.569388 \nL 99.807465 113.025869 \nL 103.534127 113.926404 \nL 107.120492 115.200242 \nL 110.518849 116.77308 \nL 113.695626 118.572496 \nL 116.630045 120.531974 \nL 119.312231 122.593346 \nL 121.741144 124.70791 \nL 123.922557 126.83648 \nL 125.86723 128.948717 \nL 127.589343 131.022064 \nL 129.105213 133.040518 \nL 131.588316 136.874137 \nL 133.456805 140.408332 \nL 134.841517 143.641044 \nL 135.856084 146.590222 \nL 136.594525 149.282285 \nL 137.344032 152.900253 \nL 137.945313 157.075026 \nL 139.263143 167.697811 \nL 139.836332 169.888677 \nL 140.418317 171.317684 \nL 141.183615 172.56007 \nL 141.826487 173.278972 \nL 142.602906 173.903124 \nL 143.542114 174.422923 \nL 144.679699 174.824777 \nL 146.058899 175.089817 \nL 147.732069 175.192129 \nL 149.762247 175.096338 \nL 152.224647 174.754343 \nL 155.207769 174.100983 \nL 158.813458 173.048469 \nL 163.15474 171.479642 \nL 168.349356 169.240683 \nL 174.505494 166.135247 \nL 177.968938 164.184405 \nL 181.694219 161.924656 \nL 185.676455 159.322079 \nL 189.900754 156.343666 \nL 194.338893 152.959964 \nL 198.945401 149.14887 \nL 203.653131 144.900802 \nL 208.368583 140.225437 \nL 212.967503 135.159963 \nL 217.291528 129.778478 \nL 221.147175 124.201481 \nL 224.3088 118.603653 \nL 226.527515 113.216934 \nL 227.547957 108.325084 \nL 227.133931 104.245557 \nL 225.10189 101.295854 \nL 221.358057 99.745391 \nL 215.930934 99.760029 \nL 208.988527 101.35369 \nL 200.830601 104.365112 \nL 191.852819 108.473556 \nL 182.489817 113.254258 \nL 155.813228 127.451599 \nL 148.188716 131.181255 \nL 141.361926 134.218034 \nL 135.326111 136.585264 \nL 130.036303 138.3556 \nL 125.427666 139.623666 \nL 121.428177 140.486992 \nL 117.966385 141.034957 \nL 114.975585 141.343775 \nL 110.173574 141.478468 \nL 106.624366 141.239343 \nL 104.029083 140.827437 \nL 102.166165 140.354867 \nL 100.395941 139.663041 \nL 99.513845 139.088623 \nL 99.243771 138.693471 \nL 99.300268 138.546945 \nL 99.615035 138.512951 \nL 100.08125 138.69679 \nL 100.739564 139.236795 \nL 101.248943 140.01957 \nL 101.445892 140.68835 \nL 101.444551 141.361889 \nL 101.2314 141.982487 \nL 100.811817 142.496545 \nL 100.20883 142.856925 \nL 99.462071 143.025223 \nL 98.626629 142.974612 \nL 97.77112 142.693356 \nL 96.97408 142.188851 \nL 96.317901 141.491288 \nL 95.880016 140.655443 \nL 95.721996 139.758825 \nL 95.878505 138.894866 \nL 96.158849 138.385479 \nL 96.569788 137.961079 \nL 97.094331 137.644494 \nL 97.709221 137.452815 \nL 98.738909 137.419869 \nL 99.803795 137.693011 \nL 100.799367 138.241908 \nL 101.633098 139.009892 \nL 102.232274 139.923994 \nL 102.547427 140.904293 \nL 102.552496 141.870888 \nL 102.243387 142.748135 \nL 101.870024 143.248851 \nL 101.373568 143.660299 \nL 100.767592 143.965551 \nL 99.692754 144.192361 \nL 98.488312 144.108164 \nL 97.250946 143.692106 \nL 96.463539 143.231471 \nL 95.748636 142.634327 \nL 95.143285 141.917837 \nL 94.682747 141.107297 \nL 94.397872 140.235956 \nL 94.31233 139.343921 \nL 94.440018 138.476051 \nL 94.783042 137.678931 \nL 95.33071 136.997201 \nL 96.059776 136.469756 \nL 96.935996 136.126388 \nL 97.916791 135.985432 \nL 98.954653 136.052736 \nL 100.000711 136.322067 \nL 101.008016 136.776663 \nL 101.934172 137.391636 \nL 102.743062 138.136599 \nL 103.405744 138.978203 \nL 103.900571 139.882251 \nL 104.212812 140.815215 \nL 104.333963 141.745162 \nL 104.260985 142.642198 \nL 103.99564 143.478495 \nL 103.544026 144.228142 \nL 102.916397 144.866867 \nL 102.127267 145.371853 \nL 101.195781 145.721719 \nL 100.146291 145.896794 \nL 99.009003 145.879807 \nL 97.820533 145.657043 \nL 96.624167 145.220003 \nL 95.469518 144.567527 \nL 94.411327 143.708192 \nL 93.50717 142.662696 \nL 92.813916 141.465652 \nL 92.383057 140.166231 \nL 92.255372 138.826969 \nL 92.455617 137.520364 \nL 92.988262 136.323202 \nL 93.83528 135.309314 \nL 94.956666 134.541875 \nL 96.293807 134.066754 \nL 97.775181 133.908303 \nL 99.323279 134.06829 \nL 100.86151 134.527944 \nL 102.319928 135.252316 \nL 103.639149 136.195773 \nL 104.772239 137.307426 \nL 105.684873 138.535637 \nL 106.354233 139.831186 \nL 106.767196 141.149042 \nL 106.918319 142.448952 \nL 106.808003 143.695153 \nL 106.441055 144.855566 \nL 105.825821 145.900699 \nL 104.973923 146.802551 \nL 103.90061 147.533662 \nL 102.625689 148.06644 \nL 101.174958 148.372998 \nL 99.581998 148.425653 \nL 97.89012 148.198266 \nL 96.154099 147.668685 \nL 94.441253 146.822368 \nL 92.831167 145.657144 \nL 91.4134 144.188765 \nL 90.282493 142.456338 \nL 89.853627 141.510748 \nL 89.530051 140.526283 \nL 89.321035 139.515629 \nL 89.234283 138.492999 \nL 89.275571 137.473863 \nL 89.448444 136.474596 \nL 89.753958 135.512027 \nL 90.190514 134.602924 \nL 90.753802 133.763458 \nL 91.436838 133.008645 \nL 92.230144 132.351829 \nL 93.121999 131.804223 \nL 94.098823 131.374552 \nL 95.145598 131.068819 \nL 96.246354 130.890207 \nL 97.384652 130.839098 \nL 98.544067 130.91324 \nL 99.708622 131.108009 \nL 101.993637 131.831178 \nL 104.133149 132.938246 \nL 106.043796 134.3456 \nL 107.666637 135.967569 \nL 108.964964 137.724386 \nL 109.920123 139.546529 \nL 110.526674 141.376066 \nL 110.787823 143.1659 \nL 110.711654 144.87778 \nL 110.308418 146.479799 \nL 109.588936 147.943775 \nL 108.564047 149.242762 \nL 107.245084 150.348855 \nL 105.645295 151.231311 \nL 103.782194 151.855169 \nL 101.680821 152.180542 \nL 99.377815 152.162911 \nL 96.926101 151.754955 \nL 94.399665 150.91049 \nL 93.13832 150.312055 \nL 91.897519 149.591271 \nL 90.693827 148.74624 \nL 89.545374 147.776972 \nL 88.471632 146.685846 \nL 87.493093 145.478067 \nL 86.630799 144.162069 \nL 85.905771 142.749883 \nL 85.338291 141.25735 \nL 84.947097 139.704187 \nL 84.748514 138.113826 \nL 84.755568 136.513003 \nL 84.977155 134.931083 \nL 85.417349 133.399111 \nL 86.074878 131.948639 \nL 86.942884 130.61042 \nL 88.008977 129.413003 \nL 89.255591 128.381434 \nL 90.660658 127.536097 \nL 92.198518 126.891856 \nL 93.841008 126.457533 \nL 95.558635 126.235817 \nL 97.32174 126.223515 \nL 99.101567 126.41217 \nL 100.871175 126.788917 \nL 102.606139 127.337484 \nL 104.285033 128.039273 \nL 105.889693 128.874375 \nL 107.405286 129.822507 \nL 108.820214 130.863777 \nL 110.125893 131.979285 \nL 111.316453 133.151548 \nL 113.340149 135.604927 \nL 114.884751 138.119126 \nL 115.963979 140.616913 \nL 116.60205 143.04434 \nL 116.826259 145.365082 \nL 116.661918 147.554835 \nL 116.129316 149.596369 \nL 115.242289 151.475348 \nL 114.008072 153.176825 \nL 112.42819 154.68216 \nL 110.500327 155.966188 \nL 108.221249 156.994495 \nL 105.590997 157.720797 \nL 104.146481 157.952422 \nL 102.618699 158.084701 \nL 101.011485 158.107654 \nL 99.330329 158.010351 \nL 97.582741 157.781009 \nL 95.778631 157.407149 \nL 93.930708 156.875877 \nL 92.054881 156.174262 \nL 90.170611 155.289862 \nL 88.301199 154.21142 \nL 86.473967 152.929735 \nL 84.720254 151.438691 \nL 83.075182 149.736464 \nL 81.577097 147.826814 \nL 80.266675 145.720406 \nL 79.185603 143.436032 \nL 78.374848 141.001564 \nL 77.872566 138.454438 \nL 77.711749 135.841502 \nL 77.917773 133.218033 \nL 78.506125 130.645833 \nL 79.480527 128.190415 \nL 80.831782 125.917469 \nL 82.537517 123.888844 \nL 84.562963 122.158556 \nL 86.862737 120.769248 \nL 89.383449 119.749591 \nL 92.066855 119.112921 \nL 94.853181 118.857279 \nL 97.68427 118.966732 \nL 100.506251 119.413766 \nL 103.271512 120.162278 \nL 105.939962 121.170845 \nL 108.479549 122.395768 \nL 110.866185 123.793761 \nL 113.083209 125.323952 \nL 115.120559 126.949316 \nL 116.973778 128.637452 \nL 118.642977 130.360895 \nL 120.131834 132.09703 \nL 121.446682 133.827755 \nL 122.595699 135.539 \nL 124.434268 138.863602 \nL 125.727129 142.018051 \nL 126.551632 144.98076 \nL 126.975421 147.749158 \nL 127.052777 150.331154 \nL 126.823374 152.739509 \nL 126.312447 154.988203 \nL 125.531629 157.090091 \nL 124.480035 159.055265 \nL 123.145336 160.889676 \nL 121.50477 162.593698 \nL 119.526125 164.160311 \nL 117.16897 165.572596 \nL 114.386467 166.800226 \nL 111.12843 167.794636 \nL 109.305721 168.182682 \nL 107.346604 168.482644 \nL 105.246798 168.68023 \nL 103.003533 168.758571 \nL 100.616164 168.697948 \nL 98.086918 168.475575 \nL 95.421799 168.065457 \nL 92.631655 167.438407 \nL 89.733403 166.562268 \nL 86.751377 165.402485 \nL 83.718751 163.923112 \nL 80.678941 162.088404 \nL 77.686799 159.865154 \nL 74.809378 157.225871 \nL 72.125972 154.152817 \nL 69.727065 150.642876 \nL 67.711778 146.712881 \nL 66.183541 142.404903 \nL 65.243806 137.790567 \nL 64.984002 132.973313 \nL 65.476331 128.087313 \nL 66.764553 123.292075 \nL 68.856257 118.762269 \nL 71.718272 114.673417 \nL 75.27657 111.18513 \nL 79.421194 108.42468 \nL 84.015738 106.47399 \nL 88.909791 105.362604 \nL 93.952171 105.067915 \nL 99.002741 105.522231 \nL 103.941156 106.624736 \nL 108.671818 108.255601 \nL 113.125204 110.2896 \nL 117.256362 112.607178 \nL 121.041614 115.102049 \nL 124.474476 117.685269 \nL 127.561503 120.286345 \nL 130.318556 122.852262 \nL 132.767673 125.34529 \nL 134.934606 127.740281 \nL 138.53283 132.182304 \nL 141.334618 136.132308 \nL 144.487 141.175283 \nL 148.285155 147.579199 \nL 149.649866 149.554312 \nL 151.061859 151.233862 \nL 152.591989 152.629979 \nL 154.302441 153.743993 \nL 156.249937 154.566178 \nL 158.487865 155.075342 \nL 161.067077 155.238283 \nL 164.03503 155.009269 \nL 167.43273 154.329979 \nL 171.288702 153.130678 \nL 175.608967 151.333973 \nL 177.935341 150.187238 \nL 180.361944 148.863191 \nL 182.875521 147.354954 \nL 185.457541 145.658218 \nL 188.083306 143.772385 \nL 190.721052 141.701871 \nL 193.331186 139.45761 \nL 195.865705 137.05866 \nL 198.268018 134.533796 \nL 200.473309 131.922888 \nL 202.409686 129.277812 \nL 204.000284 126.66255 \nL 205.166515 124.152096 \nL 205.832496 121.829824 \nL 205.930548 119.783087 \nL 205.407386 118.097037 \nL 204.23038 116.847093 \nL 202.392983 116.090887 \nL 199.918332 115.860906 \nL 196.860096 116.159328 \nL 193.300015 116.95633 \nL 189.34217 118.192617 \nL 185.104706 119.785978 \nL 180.710278 121.640797 \nL 171.909405 125.748 \nL 159.978379 131.766968 \nL 150.615799 136.749294 \nL 145.867098 139.481383 \nL 142.158604 141.878216 \nL 139.30366 144.062873 \nL 137.113716 146.127849 \nL 135.417997 148.130535 \nL 134.070791 150.099822 \nL 132.446985 153.00915 \nL 129.063792 159.505906 \nL 127.930396 161.252939 \nL 126.633142 162.938662 \nL 125.125117 164.555864 \nL 123.356956 166.095182 \nL 121.275143 167.542828 \nL 118.820967 168.877457 \nL 115.930465 170.06587 \nL 112.535899 171.057104 \nL 108.569767 171.774522 \nL 106.353212 171.99711 \nL 103.97292 172.105592 \nL 101.425181 172.078295 \nL 98.709121 171.889739 \nL 95.827734 171.510316 \nL 92.789139 170.906085 \nL 89.608077 170.038789 \nL 86.307645 168.86622 \nL 82.921209 167.343099 \nL 79.494387 165.422663 \nL 76.08697 163.059211 \nL 72.774417 160.211779 \nL 69.648616 156.849138 \nL 66.817309 152.956118 \nL 64.401645 148.540963 \nL 62.531252 143.643108 \nL 61.336459 138.340154 \nL 60.937725 132.752444 \nL 61.432946 127.043247 \nL 62.884213 121.412701 \nL 65.3063 116.084593 \nL 68.659465 111.286479 \nL 72.84887 107.225617 \nL 77.731543 104.065059 \nL 83.130213 101.904838 \nL 88.851417 100.772432 \nL 94.704343 100.624401 \nL 100.516941 101.358269 \nL 106.146929 102.831128 \nL 111.486929 104.880527 \nL 116.464405 107.343387 \nL 121.037951 110.070314 \nL 125.191646 112.934237 \nL 128.92894 115.833906 \nL 132.266984 118.69349 \nL 135.231912 121.459741 \nL 137.855161 124.098002 \nL 142.213453 128.920308 \nL 145.615136 133.1075 \nL 149.468165 138.272717 \nL 153.326013 143.396079 \nL 155.050827 145.323512 \nL 156.790676 146.877055 \nL 158.631414 148.075902 \nL 160.642413 148.925806 \nL 162.879655 149.419982 \nL 165.387167 149.540194 \nL 168.196474 149.258314 \nL 171.32377 148.538801 \nL 174.764431 147.3428 \nL 178.484701 145.634898 \nL 182.410654 143.393673 \nL 186.415413 140.626983 \nL 188.390187 139.061924 \nL 190.307184 137.392038 \nL 192.131228 135.635881 \nL 193.822946 133.817754 \nL 195.339435 131.968 \nL 196.635354 130.122986 \nL 197.664484 128.324569 \nL 198.381771 126.618953 \nL 198.745795 125.054903 \nL 198.721563 123.681254 \nL 198.283376 122.54386 \nL 197.417527 121.682207 \nL 196.124434 121.12609 \nL 194.419908 120.892726 \nL 192.335245 120.984892 \nL 189.916004 121.390337 \nL 187.219532 122.082804 \nL 184.311445 123.024445 \nL 181.261533 124.169452 \nL 175.011366 126.871443 \nL 168.963297 129.816549 \nL 163.475778 132.728095 \nL 158.750185 135.456327 \nL 154.85368 137.957358 \nL 151.760572 140.250543 \nL 149.392723 142.379602 \nL 147.65035 144.387784 \nL 146.432071 146.306588 \nL 145.646251 148.153422 \nL 145.216375 149.933667 \nL 145.082714 151.644101 \nL 145.201947 153.276034 \nL 145.545808 154.817601 \nL 146.099454 156.255036 \nL 146.859913 157.573121 \nL 147.834831 158.754948 \nL 149.041548 159.78112 \nL 150.5065 160.62855 \nL 152.264837 161.268847 \nL 154.360071 161.666315 \nL 156.843482 161.775567 \nL 159.772837 161.538809 \nL 163.209725 160.883011 \nL 167.214469 159.717475 \nL 171.837063 157.932933 \nL 174.389284 156.769863 \nL 177.101991 155.404317 \nL 179.970346 153.819839 \nL 182.984317 152.000921 \nL 186.127301 149.93414 \nL 189.374543 147.609698 \nL 192.691433 145.023403 \nL 196.031762 142.179104 \nL 199.336092 139.091574 \nL 202.530483 135.789726 \nL 205.525905 132.319885 \nL 208.218796 128.748704 \nL 210.493194 125.16508 \nL 212.225043 121.680213 \nL 213.288989 118.424826 \nL 213.567812 115.542652 \nL 212.964082 113.17965 \nL 211.412888 111.469309 \nL 208.893788 110.515526 \nL 205.439414 110.375924 \nL 201.138314 111.049523 \nL 196.130213 112.472424 \nL 190.593694 114.523885 \nL 184.728175 117.042241 \nL 178.73372 119.847383 \nL 167.05661 125.643521 \nL 152.026805 133.123753 \nL 140.89849 138.37136 \nL 133.202346 141.990764 \nL 129.492352 143.923574 \nL 126.58181 145.678915 \nL 124.224244 147.352457 \nL 121.291423 149.792041 \nL 116.818561 153.634018 \nL 114.877816 155.020212 \nL 112.742647 156.266721 \nL 110.361669 157.328963 \nL 107.69692 158.153819 \nL 104.725542 158.677056 \nL 103.122861 158.801826 \nL 101.444103 158.820849 \nL 99.693056 158.722047 \nL 97.87578 158.492473 \nL 96.000991 158.118435 \nL 94.080453 157.585753 \nL 92.129399 156.88012 \nL 90.16691 155.987625 \nL 88.21624 154.895453 \nL 86.305041 153.592783 \nL 84.465396 152.071864 \nL 82.733617 150.329309 \nL 81.14973 148.367495 \nL 79.756551 146.196018 \nL 78.598338 143.833093 \nL 77.718959 141.306653 \nL 77.15966 138.655018 \nL 76.956498 135.926851 \nL 77.137659 133.180214 \nL 77.720893 130.480619 \nL 78.7114 127.898029 \nL 80.100448 125.503011 \nL 81.865015 123.362337 \nL 83.96856 121.534535 \nL 86.362931 120.06591 \nL 88.991207 118.987629 \nL 91.79117 118.314149 \nL 94.698965 118.043229 \nL 97.652564 118.157395 \nL 100.594687 118.626601 \nL 103.474967 119.411592 \nL 106.251261 120.467487 \nL 108.890178 121.747189 \nL 111.366946 123.20429 \nL 113.664767 124.795244 \nL 115.77387 126.480859 \nL 117.690411 128.227111 \nL 119.415331 130.005394 \nL 120.953264 131.792374 \nL 122.311558 133.56958 \nL 123.499421 135.322829 \nL 125.405844 138.718489 \nL 126.759493 141.928562 \nL 127.644053 144.93432 \nL 128.132467 147.736194 \nL 128.283433 150.344945 \nL 128.140396 152.77598 \nL 127.731927 155.045813 \nL 127.072752 157.16991 \nL 126.164946 159.161258 \nL 124.99905 161.029303 \nL 123.554996 162.778896 \nL 121.802865 164.408946 \nL 119.703634 165.910534 \nL 117.210169 167.264143 \nL 114.26895 168.435689 \nL 110.823236 169.370988 \nL 108.893921 169.725836 \nL 106.818825 169.988366 \nL 104.593199 170.142562 \nL 102.21403 170.169473 \nL 99.680754 170.046901 \nL 96.99612 169.74914 \nL 94.16725 169.246825 \nL 91.20688 168.506952 \nL 88.134796 167.493186 \nL 84.979403 166.166563 \nL 81.779391 164.486754 \nL 78.585304 162.414069 \nL 75.460869 159.912343 \nL 72.483721 156.952859 \nL 69.745188 153.519317 \nL 67.348639 149.613698 \nL 65.405978 145.262578 \nL 64.031893 140.523091 \nL 63.335848 135.487369 \nL 63.412123 130.283994 \nL 64.328927 125.074987 \nL 66.118146 120.047292 \nL 68.767695 115.398656 \nL 72.218381 111.31927 \nL 76.366595 107.971813 \nL 81.072882 105.473673 \nL 86.175117 103.884934 \nL 91.503901 103.204619 \nL 96.89735 103.375633 \nL 102.212908 104.296815 \nL 107.334799 105.83898 \nL 112.176934 107.861554 \nL 116.682027 110.22686 \nL 120.818186 112.810471 \nL 124.574235 115.507191 \nL 127.954786 118.233188 \nL 130.975731 120.925305 \nL 133.660455 123.538685 \nL 136.036861 126.043578 \nL 139.98613 130.66497 \nL 143.066799 134.736921 \nL 146.546973 139.864777 \nL 150.009783 145.128932 \nL 151.551238 147.190221 \nL 153.106671 148.914353 \nL 154.75847 150.318986 \nL 156.576135 151.409625 \nL 158.619799 152.179679 \nL 160.942446 152.610584 \nL 163.590546 152.671906 \nL 166.602729 152.321854 \nL 170.006035 151.508568 \nL 173.809058 150.17324 \nL 177.991338 148.256306 \nL 180.206793 147.06354 \nL 182.488514 145.708651 \nL 184.818518 144.190123 \nL 187.173613 142.509837 \nL 189.524794 140.674105 \nL 191.836747 138.694808 \nL 194.067583 136.590554 \nL 196.168879 134.387755 \nL 198.086194 132.121512 \nL 199.760177 129.836035 \nL 201.128399 127.584459 \nL 202.127996 125.42773 \nL 202.699094 123.432424 \nL 202.788952 121.667331 \nL 202.356473 120.198932 \nL 201.376677 119.086007 \nL 199.844509 118.374003 \nL 197.777375 118.089942 \nL 195.215758 118.238821 \nL 192.22164 118.802249 \nL 188.87466 119.73989 \nL 185.266481 120.993549 \nL 181.494118 122.493368 \nL 173.831861 125.936656 \nL 166.539376 129.537486 \nL 160.050144 132.938863 \nL 154.567793 135.987758 \nL 150.117913 138.680978 \nL 146.616664 141.089474 \nL 143.928129 143.300468 \nL 141.902533 145.386923 \nL 140.397864 147.397914 \nL 139.290032 149.360297 \nL 138.476093 151.284605 \nL 137.630999 154.099196 \nL 136.906574 157.689666 \nL 135.521298 165.639958 \nL 134.746849 168.404745 \nL 133.968947 170.346266 \nL 132.950826 172.193637 \nL 132.098079 173.382035 \nL 131.070461 174.542023 \nL 129.830144 175.677981 \nL 128.331304 176.792569 \nL 126.518558 177.885318 \nL 124.325311 178.950392 \nL 121.672222 179.973069 \nL 118.466172 180.924264 \nL 114.600555 181.752152 \nL 109.958355 182.369597 \nL 107.308547 182.558173 \nL 104.420692 182.63593 \nL 101.282653 182.572798 \nL 97.88536 182.33186 \nL 94.224467 181.868264 \nL 90.30253 181.128223 \nL 86.131785 180.048222 \nL 81.73761 178.554725 \nL 77.162653 176.56474 \nL 72.471555 173.98779 \nL 67.755938 170.729969 \nL 63.139095 166.700847 \nL 58.779341 161.824056 \nL 54.870591 156.051951 \nL 51.638223 149.384134 \nL 49.328198 141.888192 \nL 48.187798 133.719107 \nL 48.438009 125.131674 \nL 50.240011 116.478859 \nL 53.661702 108.189784 \nL 58.652922 100.725078 \nL 65.038232 94.514583 \nL 72.53261 89.890559 \nL 80.778591 87.034374 \nL 89.395829 85.952452 \nL 98.030028 86.488226 \nL 106.389438 88.364358 \nL 114.262854 91.240513 \nL 121.519941 94.769793 \nL 128.099385 98.641363 \nL 133.991651 102.60444 \nL 139.221717 106.47521 \nL 143.834796 110.131922 \nL 151.433263 116.55814 \nL 163.473556 127.304048 \nL 168.743134 131.852172 \nL 171.321903 133.815797 \nL 173.209833 134.971715 \nL 174.662607 135.57161 \nL 175.82318 135.787404 \nL 176.759176 135.743261 \nL 177.68813 135.444918 \nL 178.232014 135.042648 \nL 178.355877 134.690166 \nL 178.169641 134.529946 \nL 177.765577 134.494968 \nL 176.963364 134.663082 \nL 175.749696 135.184716 \nL 174.615231 135.929405 \nL 173.968054 136.565939 \nL 173.669581 137.136474 \nL 173.707616 137.469668 \nL 173.973358 137.688014 \nL 174.451511 137.768315 \nL 175.362881 137.63658 \nL 176.477199 137.229737 \nL 177.633764 136.586314 \nL 178.641259 135.793984 \nL 179.304402 134.985098 \nL 179.478008 134.461512 \nL 179.415893 134.187726 \nL 179.207577 133.992633 \nL 178.634941 133.871042 \nL 177.79806 133.967752 \nL 176.41895 134.41564 \nL 174.969339 135.146495 \nL 173.700116 136.03359 \nL 172.814601 136.93974 \nL 172.483623 137.554445 \nL 172.469972 138.060162 \nL 172.639996 138.316099 \nL 173.153783 138.551855 \nL 173.950043 138.585025 \nL 174.979209 138.397661 \nL 176.171443 137.986322 \nL 177.436227 137.366662 \nL 178.663897 136.577755 \nL 179.731084 135.684373 \nL 180.51182 134.774968 \nL 180.894628 133.953288 \nL 180.889073 133.506146 \nL 180.661983 133.17152 \nL 180.216391 132.970038 \nL 179.568671 132.914083 \nL 178.284439 133.107278 \nL 176.751824 133.605697 \nL 175.137183 134.346778 \nL 173.606711 135.248556 \nL 172.303804 136.225122 \nL 171.336227 137.19663 \nL 170.773185 138.092997 \nL 170.640765 138.618452 \nL 170.706819 139.067137 \nL 170.969298 139.42408 \nL 171.421809 139.675474 \nL 172.053866 139.808822 \nL 173.305329 139.764557 \nL 174.857621 139.40545 \nL 176.614106 138.725189 \nL 178.446121 137.745863 \nL 180.191781 136.527475 \nL 181.662674 135.174166 \nL 182.393175 134.267759 \nL 182.860144 133.416464 \nL 183.019936 132.672554 \nL 182.844565 132.084834 \nL 182.326447 131.693241 \nL 181.481179 131.524062 \nL 180.347589 131.586902 \nL 178.984679 131.87412 \nL 176.673262 132.672611 \nL 174.283396 133.803793 \nL 172.06867 135.13085 \nL 170.228808 136.527251 \nL 168.896172 137.889478 \nL 168.326506 138.737588 \nL 168.023297 139.513466 \nL 167.988204 140.198348 \nL 168.217732 140.774258 \nL 168.704542 141.223488 \nL 169.438152 141.528463 \nL 170.404953 141.671985 \nL 171.587611 141.637829 \nL 172.963902 141.411776 \nL 174.505069 140.983093 \nL 176.173901 140.346497 \nL 177.922755 139.504619 \nL 179.691917 138.470791 \nL 181.40885 137.271918 \nL 182.988976 135.950846 \nL 184.338737 134.567447 \nL 185.361518 133.197406 \nL 185.966557 131.927832 \nL 186.088411 131.359163 \nL 186.08022 130.849253 \nL 185.937427 130.408153 \nL 185.657953 130.044671 \nL 185.242423 129.766021 \nL 184.694287 129.577525 \nL 183.228071 129.48161 \nL 181.340701 129.755993 \nL 179.147075 130.366842 \nL 176.781116 131.255584 \nL 174.379389 132.350841 \nL 172.066578 133.580326 \nL 169.945516 134.879701 \nL 168.092718 136.197018 \nL 166.558706 137.49305 \nL 165.371625 138.738985 \nL 164.542431 139.913011 \nL 164.070295 140.996994 \nL 163.947354 141.973853 \nL 164.162354 142.82579 \nL 164.703075 143.533305 \nL 165.557566 144.074817 \nL 166.714275 144.426699 \nL 168.16118 144.563714 \nL 169.883985 144.459868 \nL 171.863409 144.089805 \nL 174.07161 143.431025 \nL 176.467857 142.467087 \nL 178.993702 141.192125 \nL 181.56827 139.616651 \nL 184.084604 137.774345 \nL 186.40871 135.728826 \nL 188.383255 133.578437 \nL 189.838026 131.456287 \nL 190.318155 130.455146 \nL 190.608349 129.522282 \nL 190.693091 128.678911 \nL 190.560605 127.945146 \nL 190.203697 127.339007 \nL 189.620449 126.875449 \nL 188.814684 126.565486 \nL 187.796144 126.41553 \nL 186.580331 126.427011 \nL 185.18802 126.596296 \nL 181.978227 127.370785 \nL 178.40186 128.628559 \nL 174.708077 130.2256 \nL 171.123347 132.01764 \nL 167.826481 133.885107 \nL 164.938913 135.744002 \nL 162.527854 137.544185 \nL 160.617115 139.26045 \nL 159.200504 140.881947 \nL 158.254346 142.403364 \nL 157.747529 143.819083 \nL 157.648621 145.120029 \nL 157.930396 146.292417 \nL 158.572262 147.317496 \nL 159.561121 148.171683 \nL 160.891058 148.826732 \nL 162.562059 149.249802 \nL 164.577859 149.403519 \nL 166.942776 149.246211 \nL 169.657314 148.732742 \nL 172.712188 147.816533 \nL 176.080424 146.4535 \nL 179.707359 144.608929 \nL 183.498872 142.268226 \nL 187.309141 139.452131 \nL 189.159074 137.886561 \nL 190.93089 136.235568 \nL 192.588723 134.520148 \nL 194.093358 132.766767 \nL 195.403123 131.007408 \nL 196.475176 129.279197 \nL 197.267208 127.623561 \nL 197.739562 126.084789 \nL 197.857657 124.707993 \nL 197.594539 123.536552 \nL 196.93337 122.609183 \nL 195.869531 121.956949 \nL 194.412065 121.600509 \nL 192.58416 121.548114 \nL 190.422542 121.794603 \nL 187.975703 122.321708 \nL 185.301134 123.099686 \nL 182.461881 124.090056 \nL 176.546845 126.531526 \nL 170.709699 129.297855 \nL 165.320981 132.107903 \nL 160.609676 134.790616 \nL 156.674197 137.277462 \nL 153.516247 139.568229 \nL 151.078379 141.694576 \nL 149.274875 143.693977 \nL 148.013127 145.59611 \nL 147.206567 147.418423 \nL 146.781424 149.166794 \nL 146.679444 150.838148 \nL 146.858267 152.423279 \nL 147.290573 153.90899 \nL 147.962755 155.279352 \nL 148.873526 156.516117 \nL 150.0327 157.598409 \nL 151.460194 158.501837 \nL 153.185219 159.197115 \nL 155.245484 159.648278 \nL 157.686158 159.810544 \nL 160.558158 159.627932 \nL 163.915083 159.030913 \nL 167.807833 157.934636 \nL 172.275506 156.238861 \nL 174.730468 155.131408 \nL 177.330725 153.83163 \nL 180.070051 152.325444 \nL 182.937256 150.599987 \nL 185.91495 148.644695 \nL 188.97819 146.452714 \nL 192.093025 144.022683 \nL 195.21507 141.360876 \nL 198.288237 138.483671 \nL 201.243841 135.42022 \nL 204.000358 132.21509 \nL 206.464219 128.930455 \nL 208.531992 125.647351 \nL 210.094375 122.465259 \nL 211.042251 119.499299 \nL 211.274781 116.874374 \nL 210.709181 114.715963 \nL 209.291155 113.137947 \nL 207.004512 112.228761 \nL 203.877982 112.038136 \nL 199.987372 112.56733 \nL 195.451761 113.7657 \nL 190.423723 115.535252 \nL 185.074937 117.742891 \nL 179.579884 120.237966 \nL 168.775144 125.510928 \nL 134.621412 142.734354 \nL 131.45185 144.721179 \nL 128.95242 146.588147 \nL 126.910804 148.401286 \nL 124.33228 151.070913 \nL 121.121549 154.509069 \nL 119.395774 156.132939 \nL 117.490247 157.65803 \nL 115.343809 159.051942 \nL 112.903259 160.27544 \nL 110.12312 161.279256 \nL 106.967688 162.000084 \nL 105.241877 162.229657 \nL 103.415899 162.35613 \nL 101.490793 162.365712 \nL 99.469807 162.243038 \nL 97.358897 161.971176 \nL 95.1673 161.531735 \nL 92.908175 160.905111 \nL 90.599269 160.070914 \nL 88.263597 159.008629 \nL 85.930054 157.698544 \nL 83.633898 156.123017 \nL 81.417011 154.268108 \nL 79.327789 152.12553 \nL 77.420529 149.694926 \nL 75.754185 146.986296 \nL 74.390368 144.022392 \nL 73.390523 140.840734 \nL 72.812356 137.494849 \nL 72.705667 134.054342 \nL 73.107958 130.603319 \nL 74.040308 127.236986 \nL 75.504104 124.056366 \nL 77.479225 121.161529 \nL 79.924121 118.644058 \nL 82.777948 116.579752 \nL 85.9646 115.02262 \nL 89.398122 114.001162 \nL 92.98876 113.517413 \nL 96.648812 113.548788 \nL 100.297619 114.052298 \nL 103.865175 114.97019 \nL 107.294254 116.236128 \nL 110.541076 117.781016 \nL 113.57485 119.537796 \nL 116.376507 121.444954 \nL 118.936975 123.448663 \nL 121.255312 125.503746 \nL 123.336855 127.573702 \nL 125.19157 129.630114 \nL 126.832606 131.651702 \nL 128.275121 133.623207 \nL 130.62981 137.378527 \nL 132.386291 140.854928 \nL 133.666492 144.04844 \nL 134.576107 146.974598 \nL 135.202124 149.657638 \nL 135.755159 153.284775 \nL 135.98634 156.510703 \nL 135.997232 159.40864 \nL 135.759359 162.862724 \nL 135.267189 165.945495 \nL 134.715716 168.064134 \nL 133.971066 170.049467 \nL 132.978884 171.927358 \nL 132.142781 173.131253 \nL 131.133028 174.303984 \nL 129.913047 175.450607 \nL 128.438207 176.574337 \nL 126.654345 177.675259 \nL 124.496182 178.748213 \nL 121.885802 179.779447 \nL 118.731607 180.741355 \nL 114.928476 181.584424 \nL 110.360568 182.225123 \nL 107.752483 182.429977 \nL 104.909289 182.528281 \nL 101.818573 182.491071 \nL 98.470753 182.282736 \nL 94.860666 181.859955 \nL 90.989634 181.170674 \nL 86.868134 180.153281 \nL 82.519113 178.736213 \nL 77.981995 176.838367 \nL 73.317285 174.370776 \nL 68.611498 171.240274 \nL 63.981925 167.355841 \nL 59.58024 162.638468 \nL 55.593648 157.035038 \nL 52.241666 150.536144 \nL 49.766557 143.196466 \nL 48.415661 135.154551 \nL 48.415297 126.646748 \nL 49.938182 118.00837 \nL 53.069687 109.655597 \nL 57.781158 102.044869 \nL 63.919255 95.613424 \nL 71.217478 90.712649 \nL 79.329768 87.551651 \nL 87.878345 86.167598 \nL 96.503281 86.431334 \nL 104.901508 88.084809 \nL 112.848074 90.796866 \nL 120.199311 94.220458 \nL 126.882813 98.037956 \nL 132.880863 101.988297 \nL 138.213052 105.876632 \nL 142.921453 109.571151 \nL 150.685139 116.103131 \nL 161.154063 125.450924 \nL 167.291326 130.879577 \nL 170.258737 133.268617 \nL 172.405013 134.713839 \nL 174.042913 135.50736 \nL 175.353061 135.846471 \nL 176.426054 135.870781 \nL 177.293508 135.686924 \nL 178.12125 135.269232 \nL 178.52781 134.817894 \nL 178.532055 134.548304 \nL 178.280069 134.391758 \nL 177.797944 134.377997 \nL 176.885703 134.595974 \nL 175.552915 135.198411 \nL 174.348717 136.02252 \nL 173.691723 136.709018 \nL 173.424315 137.310668 \nL 173.50943 137.652468 \nL 173.838914 137.865642 \nL 174.39329 137.92652 \nL 175.417055 137.747215 \nL 176.642837 137.271343 \nL 177.892656 136.545418 \nL 178.956116 135.67042 \nL 179.50254 135.005148 \nL 179.748612 134.413353 \nL 179.720697 134.09531 \nL 179.532303 133.859985 \nL 179.187137 133.721159 \nL 178.405274 133.710453 \nL 177.377028 133.936965 \nL 175.808759 134.559889 \nL 174.275206 135.438661 \nL 173.03461 136.426488 \nL 172.413468 137.150987 \nL 172.114149 137.799335 \nL 172.159541 138.322434 \nL 172.381984 138.580272 \nL 172.752486 138.75247 \nL 173.564252 138.830465 \nL 174.638529 138.67304 \nL 175.905447 138.272073 \nL 177.272635 137.638874 \nL 178.625619 136.809543 \nL 179.832158 135.8487 \nL 180.752832 134.848856 \nL 181.258933 133.922871 \nL 181.317142 133.405032 \nL 181.1332 133.004103 \nL 180.706353 132.745201 \nL 180.050887 132.644533 \nL 179.195712 132.707872 \nL 177.631812 133.097172 \nL 175.887998 133.788368 \nL 174.151995 134.697334 \nL 172.595444 135.729352 \nL 171.354125 136.793896 \nL 170.520585 137.811504 \nL 170.218425 138.429861 \nL 170.127809 138.979109 \nL 170.249792 139.44274 \nL 170.580693 139.805321 \nL 171.112651 140.052451 \nL 171.833805 140.170946 \nL 172.728101 140.149324 \nL 174.347266 139.835338 \nL 176.213742 139.172142 \nL 178.199004 138.173313 \nL 180.136391 136.891931 \nL 181.824884 135.429931 \nL 182.704208 134.428228 \nL 183.31287 133.468188 \nL 183.597117 132.60863 \nL 183.518736 131.906535 \nL 183.061117 131.410705 \nL 182.233493 131.155686 \nL 181.072078 131.157399 \nL 179.637531 131.411614 \nL 178.009 131.895698 \nL 175.398482 132.970612 \nL 172.8514 134.328509 \nL 170.619747 135.820313 \nL 168.881172 137.321897 \nL 168.049268 138.280375 \nL 167.497886 139.177833 \nL 167.232527 139.994317 \nL 167.252106 140.711181 \nL 167.551004 141.310169 \nL 168.120427 141.772871 \nL 168.949014 142.080613 \nL 170.022703 142.21477 \nL 171.32388 142.157453 \nL 172.829904 141.892663 \nL 174.511097 141.407954 \nL 176.328372 140.696713 \nL 178.230801 139.760974 \nL 180.153514 138.61478 \nL 182.01661 137.287649 \nL 183.725876 135.82752 \nL 185.176225 134.302214 \nL 186.258623 132.798128 \nL 186.870722 131.414952 \nL 186.973556 130.801182 \nL 186.930398 130.255933 \nL 186.736505 129.790451 \nL 186.390079 129.414433 \nL 185.892516 129.135605 \nL 185.248527 128.959366 \nL 184.466113 128.88856 \nL 182.533282 129.061361 \nL 180.213635 129.625362 \nL 177.654755 130.519039 \nL 175.01263 131.661831 \nL 172.43312 132.969342 \nL 170.038388 134.36547 \nL 167.920125 135.789071 \nL 166.139021 137.195126 \nL 164.728689 138.552156 \nL 163.701834 139.83795 \nL 163.056878 141.035265 \nL 162.783865 142.128407 \nL 162.869084 143.100928 \nL 163.298229 143.934317 \nL 164.058187 144.607413 \nL 165.137594 145.096303 \nL 166.52628 145.374574 \nL 168.21372 145.413882 \nL 170.186494 145.185005 \nL 172.424772 144.659558 \nL 174.897798 143.812733 \nL 177.558512 142.627388 \nL 180.337646 141.099793 \nL 183.138076 139.247066 \nL 185.830837 137.115688 \nL 188.254953 134.789652 \nL 190.223795 132.395368 \nL 190.975743 131.223378 \nL 191.540536 130.099336 \nL 191.896198 129.048096 \nL 192.023788 128.094573 \nL 191.908552 127.262631 \nL 191.540992 126.573848 \nL 190.917769 126.04627 \nL 190.04235 125.693282 \nL 188.925293 125.52272 \nL 187.584099 125.536338 \nL 186.042642 125.729704 \nL 184.330179 126.092573 \nL 180.52802 127.262018 \nL 176.464708 128.884978 \nL 172.418238 130.784731 \nL 168.619146 132.805562 \nL 165.230938 134.83411 \nL 162.348942 136.80228 \nL 160.011429 138.677798 \nL 158.215881 140.450394 \nL 156.935084 142.119433 \nL 156.130324 143.685355 \nL 155.760931 145.145025 \nL 155.79042 146.489856 \nL 156.189984 147.705531 \nL 156.940025 148.772313 \nL 158.030354 149.665443 \nL 159.459426 150.355268 \nL 161.232813 150.807107 \nL 163.360924 150.980989 \nL 165.855769 150.831462 \nL 168.726455 150.307984 \nL 171.972908 149.356452 \nL 175.577301 147.922834 \nL 179.492734 145.960123 \nL 183.629226 143.439959 \nL 185.736617 141.971253 \nL 187.838091 140.370135 \nL 189.903538 138.647045 \nL 191.897749 136.817774 \nL 193.780502 134.90423 \nL 195.507003 132.935021 \nL 197.028766 130.945735 \nL 198.294999 128.978744 \nL 199.254589 127.082399 \nL 199.858614 125.309448 \nL 200.063356 123.71465 \nL 199.833619 122.351595 \nL 199.146017 121.268925 \nL 197.991904 120.506286 \nL 196.379492 120.09058 \nL 194.334733 120.033016 \nL 191.900715 120.327568 \nL 189.13549 120.951231 \nL 186.108485 121.866114 \nL 182.895957 123.023167 \nL 176.224019 125.8406 \nL 169.687983 128.97031 \nL 163.711596 132.07756 \nL 158.539036 134.975916 \nL 154.256711 137.608591 \nL 150.840617 139.998413 \nL 148.204061 142.199863 \nL 146.234099 144.267929 \nL 144.815029 146.24382 \nL 143.841487 148.151977 \nL 143.224471 150.002571 \nL 142.893059 151.795741 \nL 142.793763 153.525582 \nL 142.888792 155.183078 \nL 143.153978 156.757938 \nL 143.576822 158.239491 \nL 144.154867 159.616847 \nL 144.894505 160.878574 \nL 145.810213 162.012009 \nL 146.924207 163.002267 \nL 148.26642 163.830978 \nL 149.874749 164.474729 \nL 151.795405 164.903118 \nL 154.083181 165.076357 \nL 156.801312 164.94237 \nL 160.020378 164.433395 \nL 163.815389 163.462335 \nL 168.259676 161.919506 \nL 173.413476 159.671338 \nL 176.267072 158.235196 \nL 179.304247 156.564015 \nL 182.518123 154.637662 \nL 185.894975 152.437428 \nL 189.412361 149.947647 \nL 193.03699 147.157895 \nL 196.722438 144.065809 \nL 200.406852 140.680565 \nL 204.010889 137.026973 \nL 207.436302 133.149923 \nL 210.565691 129.118725 \nL 213.264084 125.030627 \nL 215.383151 121.012334 \nL 216.768673 117.218206 \nL 217.271778 113.8236 \nL 216.763641 111.012231 \nL 215.152467 108.957516 \nL 212.400367 107.799369 \nL 208.536514 107.620323 \nL 203.662789 108.426578 \nL 197.948842 110.139969 \nL 191.616034 112.604952 \nL 184.912844 115.610511 \nL 178.087003 118.922066 \nL 153.316266 131.37476 \nL 143.775954 135.785203 \nL 136.243738 138.963993 \nL 122.465816 144.521605 \nL 119.69103 145.870078 \nL 116.337318 147.775065 \nL 111.542472 150.657967 \nL 109.585512 151.629893 \nL 107.505737 152.436551 \nL 105.266926 153.029271 \nL 102.853539 153.354645 \nL 100.271771 153.354836 \nL 97.55224 152.968898 \nL 96.157984 152.611999 \nL 94.753776 152.136128 \nL 93.35202 151.534794 \nL 91.967288 150.802536 \nL 90.61634 149.935356 \nL 89.318022 148.9312 \nL 88.093082 147.790489 \nL 86.96385 146.51668 \nL 85.953765 145.116826 \nL 85.08675 143.602047 \nL 84.38641 141.98793 \nL 83.875106 140.29471 \nL 83.572917 138.547248 \nL 83.496537 136.774678 \nL 83.658231 135.00973 \nL 84.064863 133.287705 \nL 84.717178 131.645135 \nL 85.609364 130.118205 \nL 86.728974 128.741033 \nL 88.057267 127.544009 \nL 89.569919 126.552259 \nL 91.238092 125.784495 \nL 93.029722 125.252254 \nL 94.910966 124.959664 \nL 96.847644 124.903711 \nL 98.806562 125.074955 \nL 100.756661 125.458563 \nL 102.669884 126.035567 \nL 104.521776 126.784208 \nL 106.29179 127.681212 \nL 107.963369 128.702956 \nL 109.5238 129.826394 \nL 110.963934 131.029805 \nL 112.277794 132.293274 \nL 113.462138 133.599 \nL 115.440191 136.277114 \nL 116.909571 138.965393 \nL 117.898191 141.595692 \nL 118.44037 144.123792 \nL 118.569763 146.522406 \nL 118.314891 148.775009 \nL 117.69671 150.870788 \nL 116.727716 152.800544 \nL 115.412157 154.55334 \nL 113.747172 156.113512 \nL 111.724776 157.457816 \nL 109.334839 158.552534 \nL 106.569363 159.350423 \nL 105.045322 159.618869 \nL 103.428517 159.787789 \nL 101.721611 159.846259 \nL 99.928967 159.782119 \nL 98.057068 159.582016 \nL 96.114967 159.231539 \nL 94.114783 158.71545 \nL 92.072202 158.01804 \nL 90.006972 157.123669 \nL 87.943344 156.017499 \nL 85.910398 154.68644 \nL 83.942203 153.120349 \nL 82.077717 151.313454 \nL 80.360329 149.26597 \nL 78.836961 146.985807 \nL 77.55667 144.490272 \nL 76.568674 141.807496 \nL 75.919862 138.977404 \nL 75.651884 136.051895 \nL 75.798023 133.094023 \nL 76.380138 130.175936 \nL 77.406081 127.375567 \nL 78.867939 124.772233 \nL 80.741458 122.441512 \nL 82.986817 120.449945 \nL 85.550785 118.850283 \nL 88.370023 117.677918 \nL 91.375137 116.948991 \nL 94.494981 116.66037 \nL 97.660716 116.791431 \nL 100.809177 117.307243 \nL 103.885325 118.162601 \nL 106.843685 119.306287 \nL 109.648832 120.685063 \nL 112.275103 122.246997 \nL 114.705762 123.943922 \nL 116.931834 125.733018 \nL 118.950775 127.577615 \nL 120.765151 129.44734 \nL 122.381405 131.317841 \nL 123.808755 133.17021 \nL 125.058259 134.990268 \nL 127.072714 138.495886 \nL 128.524585 141.78823 \nL 129.508427 144.853947 \nL 130.106205 147.698706 \nL 130.384193 150.337956 \nL 130.392419 152.791231 \nL 130.165494 155.078796 \nL 129.724017 157.219761 \nL 129.076068 159.231035 \nL 128.218519 161.126731 \nL 127.138011 162.917696 \nL 125.811577 164.610936 \nL 124.206978 166.208729 \nL 122.282846 167.707219 \nL 119.988865 169.094157 \nL 117.266351 170.345519 \nL 114.049771 171.420522 \nL 110.270157 172.254579 \nL 108.148276 172.552277 \nL 105.861839 172.749795 \nL 103.405151 172.827719 \nL 100.7747 172.762945 \nL 97.970057 172.528276 \nL 94.995011 172.092075 \nL 91.858952 171.418069 \nL 88.578497 170.465397 \nL 85.179387 169.189078 \nL 81.69855 167.541037 \nL 78.186246 165.471963 \nL 74.708061 162.934209 \nL 71.346417 159.885997 \nL 68.201167 156.297064 \nL 65.388631 152.155704 \nL 63.038479 147.47687 \nL 61.28779 142.310483 \nL 60.272001 136.748556 \nL 60.112899 130.929207 \nL 60.904663 125.035367 \nL 62.699848 119.286346 \nL 65.498004 113.921514 \nL 69.239747 109.17723 \nL 73.808498 105.260409 \nL 79.040438 102.323801 \nL 84.741231 100.448388 \nL 90.706227 99.63691 \nL 96.740136 99.819577 \nL 102.672635 100.869946 \nL 108.367907 102.626507 \nL 113.727864 104.914929 \nL 118.690299 107.566922 \nL 123.223787 110.433327 \nL 127.321205 113.391122 \nL 130.993226 116.345236 \nL 134.262629 119.226782 \nL 137.159728 121.98927 \nL 141.976285 127.056062 \nL 145.728334 131.455743 \nL 149.943003 136.8598 \nL 154.064714 142.171257 \nL 155.857771 144.151428 \nL 157.635759 145.738195 \nL 159.490297 146.955827 \nL 161.494001 147.814616 \nL 163.703849 148.312098 \nL 166.162865 148.434544 \nL 168.89984 148.158903 \nL 171.926827 147.455695 \nL 175.234189 146.293476 \nL 178.783116 144.645733 \nL 182.495976 142.501141 \nL 186.245632 139.877793 \nL 188.078649 138.404596 \nL 189.846324 136.840893 \nL 191.515764 135.20526 \nL 193.050661 133.521323 \nL 194.412013 131.817896 \nL 195.559197 130.128808 \nL 196.451431 128.492263 \nL 197.049636 126.949736 \nL 197.318605 125.544272 \nL 197.229371 124.318292 \nL 196.761605 123.310978 \nL 195.905764 122.555466 \nL 194.664721 122.07616 \nL 193.054651 121.886523 \nL 191.104912 121.987689 \nL 188.85687 122.368202 \nL 186.361728 123.004958 \nL 183.677561 123.865302 \nL 177.988157 126.096571 \nL 172.261863 128.729416 \nL 166.885745 131.474599 \nL 162.116938 134.139844 \nL 158.083256 136.633965 \nL 154.810794 138.939698 \nL 152.259431 141.078912 \nL 150.354231 143.08511 \nL 149.008344 144.987483 \nL 148.137567 146.804531 \nL 147.66843 148.543431 \nL 147.541897 150.202079 \nL 147.714384 151.771632 \nL 148.157312 153.238661 \nL 148.855989 154.586472 \nL 149.808304 155.795598 \nL 151.023497 156.843547 \nL 152.521074 157.703945 \nL 154.329823 158.345175 \nL 156.486766 158.728606 \nL 159.03573 158.806521 \nL 162.025052 158.519916 \nL 165.5037 157.796529 \nL 169.514728 156.549835 \nL 174.084641 154.680364 \nL 176.579014 153.478771 \nL 179.206837 152.081624 \nL 181.958133 150.476821 \nL 184.817332 148.654261 \nL 187.762055 146.607094 \nL 190.761807 144.333273 \nL 193.776672 141.837453 \nL 196.756131 139.133164 \nL 199.638198 136.245203 \nL 202.349087 133.212016 \nL 204.803719 130.087775 \nL 206.907454 126.943705 \nL 208.559317 123.868078 \nL 209.657043 120.964223 \nL 210.10396 118.345969 \nL 209.817453 116.130189 \nL 208.738318 114.426562 \nL 206.839772 113.325484 \nL 204.134501 112.885849 \nL 200.678079 113.125135 \nL 196.567385 114.014248 \nL 191.933642 115.479059 \nL 186.930821 117.408931 \nL 181.721409 119.670836 \nL 171.291774 124.645831 \nL 143.669925 138.538931 \nL 138.909337 141.075216 \nL 135.222535 143.267341 \nL 132.360837 145.26859 \nL 130.097983 147.17685 \nL 128.240816 149.04333 \nL 125.875352 151.799919 \nL 122.888523 155.36052 \nL 121.26502 157.053297 \nL 119.460093 158.657954 \nL 117.413042 160.147493 \nL 115.068411 161.488908 \nL 112.375284 162.639914 \nL 109.288576 163.544644 \nL 105.77293 164.128505 \nL 103.84759 164.270314 \nL 101.810079 164.292647 \nL 99.662736 164.178547 \nL 97.410746 163.909055 \nL 95.062829 163.463278 \nL 92.632006 162.818581 \nL 90.136429 161.951001 \nL 87.600245 160.835925 \nL 85.054428 159.449101 \nL 82.537485 157.76806 \nL 80.095919 155.774001 \nL 77.784283 153.454145 \nL 75.664656 150.804538 \nL 73.805311 147.833128 \nL 72.278457 144.562916 \nL 71.156875 141.034698 \nL 70.50955 137.30897 \nL 70.396449 133.466288 \nL 70.862936 129.605583 \nL 71.934449 125.839974 \nL 73.612276 122.290107 \nL 75.871241 119.075442 \nL 78.659913 116.304474 \nL 81.90355 114.065321 \nL 85.50953 112.418212 \nL 89.374498 111.39106 \nL 93.392161 110.978896 \nL 97.46061 111.147009 \nL 101.488256 111.836985 \nL 105.397844 112.974456 \nL 109.128442 114.477099 \nL 112.63563 116.261834 \nL 115.890345 118.250435 \nL 118.876896 120.373269 \nL 121.590593 122.571283 \nL 124.035337 124.796541 \nL 126.221396 127.011696 \nL 128.163486 129.188871 \nL 129.879176 131.308207 \nL 132.708658 135.325188 \nL 134.866671 139.010449 \nL 136.501763 142.359537 \nL 137.744514 145.391912 \nL 139.106808 149.411173 \nL 142.117745 159.334196 \nL 143.130707 161.50653 \nL 143.932267 162.774084 \nL 144.869589 163.895797 \nL 145.975518 164.865272 \nL 147.287263 165.670737 \nL 148.847778 166.294004 \nL 150.707022 166.708949 \nL 152.922981 166.879432 \nL 155.562265 166.756546 \nL 158.69979 166.275191 \nL 162.416832 165.350099 \nL 166.796127 163.871825 \nL 171.911988 161.703986 \nL 174.762874 160.311635 \nL 177.812405 158.684458 \nL 181.057546 156.799824 \nL 184.488978 154.635646 \nL 188.089177 152.171849 \nL 191.830173 149.392418 \nL 195.671052 146.288134 \nL 199.555286 142.860087 \nL 203.408126 139.123962 \nL 207.134424 135.114987 \nL 210.61736 130.893176 \nL 213.718848 126.548167 \nL 216.282435 122.202605 \nL 218.139627 118.012556 \nL 219.120437 114.163123 \nL 219.068346 110.85756 \nL 217.858956 108.298948 \nL 215.420179 106.665071 \nL 211.75029 106.079862 \nL 206.929064 106.587361 \nL 201.117612 108.135728 \nL 194.544659 110.577931 \nL 187.480847 113.691395 \nL 180.206456 117.212737 \nL 153.439086 130.761585 \nL 147.973806 133.332666 \nL 138.741619 137.313767 \nL 131.563066 140.042544 \nL 115.88566 145.642185 \nL 111.67411 147.607611 \nL 107.968183 149.269884 \nL 106.08473 149.906694 \nL 104.119363 150.358247 \nL 102.054881 150.57971 \nL 99.895833 150.525625 \nL 97.668756 150.151904 \nL 95.423003 149.41906 \nL 93.231323 148.297235 \nL 92.18474 147.58547 \nL 91.189036 146.773304 \nL 90.259068 145.863151 \nL 89.410429 144.859599 \nL 88.659098 143.769678 \nL 88.020999 142.603069 \nL 87.511496 141.372217 \nL 87.144811 140.092358 \nL 86.933423 138.781388 \nL 86.887454 137.45956 \nL 87.014093 136.149044 \nL 87.317099 134.873285 \nL 87.796418 133.656255 \nL 88.447966 132.521549 \nL 89.263611 131.49148 \nL 90.231343 130.586165 \nL 91.33564 129.822712 \nL 92.55803 129.214543 \nL 93.877767 128.770946 \nL 95.272608 128.496848 \nL 96.719618 128.392847 \nL 98.195945 128.455471 \nL 99.679531 128.677636 \nL 101.149695 129.049235 \nL 102.587609 129.557829 \nL 103.976598 130.189347 \nL 105.302333 130.928761 \nL 106.552882 131.760706 \nL 108.79223 133.642034 \nL 110.643089 135.720667 \nL 112.082085 137.900778 \nL 113.106029 140.105954 \nL 113.724303 142.277985 \nL 113.952531 144.373625 \nL 113.807902 146.360599 \nL 113.306118 148.213639 \nL 112.459798 149.910846 \nL 111.278144 151.430474 \nL 109.767718 152.748109 \nL 107.934269 153.834119 \nL 105.785658 154.651514 \nL 103.33598 155.154225 \nL 100.611 155.286212 \nL 99.158164 155.193052 \nL 97.654952 154.982082 \nL 96.111074 154.644167 \nL 94.538403 154.170173 \nL 92.951213 153.551299 \nL 91.366377 152.779505 \nL 89.803504 151.848033 \nL 88.284957 150.752055 \nL 86.835764 149.48938 \nL 85.483341 148.061266 \nL 84.257014 146.473233 \nL 83.187312 144.735879 \nL 82.305006 142.865554 \nL 81.639906 140.884857 \nL 81.219469 138.822816 \nL 81.067268 136.714637 \nL 81.201437 134.600974 \nL 81.633236 132.526663 \nL 82.365885 130.538928 \nL 83.393796 128.685155 \nL 84.702359 127.010446 \nL 86.268327 125.555095 \nL 88.060791 124.352351 \nL 90.042686 123.42661 \nL 92.172682 122.792327 \nL 94.407259 122.453683 \nL 96.702786 122.405035 \nL 99.017396 122.632061 \nL 101.31254 123.113391 \nL 103.554121 123.822517 \nL 105.713198 124.729775 \nL 107.766276 125.80419 \nL 109.695243 127.015048 \nL 111.487048 128.333143 \nL 113.133184 129.731641 \nL 114.629078 131.186625 \nL 115.973427 132.677324 \nL 117.16755 134.186148 \nL 118.214772 135.698523 \nL 119.888594 138.689162 \nL 121.042384 141.582267 \nL 121.727725 144.33962 \nL 121.992377 146.942312 \nL 121.875631 149.383205 \nL 121.405983 151.661245 \nL 120.600403 153.777288 \nL 119.464589 155.730907 \nL 117.993882 157.517711 \nL 116.174693 159.126842 \nL 113.986503 160.538238 \nL 111.404678 161.719488 \nL 108.404578 162.622047 \nL 106.741422 162.948179 \nL 104.967667 163.176919 \nL 103.083424 163.295714 \nL 101.09052 163.290205 \nL 98.993009 163.144193 \nL 96.797758 162.839628 \nL 94.515121 162.356757 \nL 92.159663 161.674387 \nL 89.750942 160.770371 \nL 87.314272 159.622352 \nL 84.881441 158.208831 \nL 82.491255 156.510611 \nL 80.189832 154.512658 \nL 78.030443 152.206358 \nL 76.072801 149.592115 \nL 74.381574 146.682142 \nL 73.024017 143.503142 \nL 72.06669 140.098544 \nL 71.571279 136.529766 \nL 71.589809 132.876032 \nL 72.159688 129.232225 \nL 73.299168 125.704573 \nL 75.003968 122.404218 \nL 77.245707 119.439202 \nL 79.972609 116.905822 \nL 83.112584 114.880563 \nL 86.578371 113.413934 \nL 90.27402 112.527129 \nL 94.101798 112.212057 \nL 97.968553 112.434502 \nL 101.790827 113.139678 \nL 105.498253 114.259081 \nL 109.035223 115.717506 \nL 112.361013 117.439289 \nL 115.448747 119.353154 \nL 118.283656 121.395487 \nL 120.860988 123.512076 \nL 123.183871 125.658589 \nL 125.261331 127.800192 \nL 127.10656 129.910569 \nL 128.735465 131.970703 \nL 131.414831 135.892883 \nL 133.44321 139.513295 \nL 134.957451 142.823893 \nL 136.078002 145.840295 \nL 136.905568 148.588534 \nL 137.770331 152.271244 \nL 138.51752 156.500213 \nL 139.779688 163.909508 \nL 140.507056 166.471057 \nL 141.225428 168.130461 \nL 142.157506 169.564212 \nL 142.934125 170.388165 \nL 143.866715 171.097727 \nL 144.988756 171.680967 \nL 146.340593 172.120913 \nL 147.970758 172.393979 \nL 149.937349 172.467835 \nL 152.309312 172.29853 \nL 155.167353 171.826708 \nL 158.603877 170.972797 \nL 162.720964 169.631255 \nL 167.624599 167.66442 \nL 173.412218 164.897672 \nL 176.660142 163.149509 \nL 180.149061 161.119702 \nL 183.875347 158.778207 \nL 187.826882 156.095614 \nL 191.980281 153.045298 \nL 196.297611 149.606469 \nL 200.722706 145.768363 \nL 205.177207 141.535653 \nL 209.556778 136.935153 \nL 213.728021 132.023485 \nL 217.5271 126.895097 \nL 220.761291 121.689225 \nL 223.215001 116.59378 \nL 224.661808 111.843223 \nL 224.883574 107.70721 \nL 223.696466 104.467299 \nL 220.981365 102.381323 \nL 216.713407 101.639136 \nL 210.982674 102.318911 \nL 203.997806 104.35729 \nL 196.067268 107.546319 \nL 187.559981 111.563207 \nL 178.854593 116.026753 \nL 162.137413 124.864354 \nL 154.574823 128.715163 \nL 147.702894 132.002859 \nL 141.554485 134.699554 \nL 136.115123 136.837696 \nL 131.340952 138.484628 \nL 127.172759 139.721966 \nL 123.545685 140.631584 \nL 117.660659 141.752641 \nL 113.223187 142.301385 \nL 108.48756 142.627612 \nL 103.001959 142.735035 \nL 100.382499 142.576617 \nL 98.892295 142.231018 \nL 98.025003 141.822991 \nL 97.363044 141.297592 \nL 96.920665 140.685812 \nL 96.715853 140.036258 \nL 96.757863 139.409654 \nL 97.038524 138.870781 \nL 97.528039 138.479013 \nL 98.175674 138.279264 \nL 98.914725 138.2954 \nL 99.670352 138.527468 \nL 100.3682 138.952983 \nL 100.941996 139.531322 \nL 101.339 140.209677 \nL 101.522993 140.928971 \nL 101.475393 141.628803 \nL 101.195136 142.251125 \nL 100.698159 142.742892 \nL 100.016874 143.058285 \nL 99.199679 143.161153 \nL 98.310042 143.028217 \nL 97.424405 142.653094 \nL 96.627881 142.050716 \nL 96.007086 141.260991 \nL 95.639924 140.34989 \nL 95.583595 139.405981 \nL 95.732719 138.808745 \nL 96.02981 138.273088 \nL 96.464486 137.827528 \nL 97.018604 137.49619 \nL 97.667381 137.297033 \nL 98.381063 137.240634 \nL 99.501477 137.427596 \nL 100.582324 137.918164 \nL 101.521303 138.659601 \nL 102.235375 139.578951 \nL 102.665512 140.593633 \nL 102.777457 141.619676 \nL 102.668996 142.27015 \nL 102.41588 142.867613 \nL 102.024208 143.391233 \nL 101.504012 143.821725 \nL 100.869292 144.141512 \nL 100.138147 144.335024 \nL 99.332921 144.389164 \nL 98.480277 144.294011 \nL 97.611111 144.043744 \nL 96.760128 143.637776 \nL 95.964988 143.081988 \nL 95.264873 142.38989 \nL 94.698448 141.583481 \nL 94.301296 140.693516 \nL 94.102953 139.758917 \nL 94.12391 138.825095 \nL 94.373051 137.941159 \nL 94.845916 137.156233 \nL 95.524262 136.515309 \nL 96.377054 136.05524 \nL 97.362829 135.801598 \nL 98.433093 135.766824 \nL 99.53619 135.949978 \nL 100.621074 136.337946 \nL 101.640506 136.907714 \nL 102.553348 137.629228 \nL 103.325876 138.468269 \nL 103.932188 139.388969 \nL 104.353949 140.355734 \nL 104.579686 141.334471 \nL 104.603934 142.293246 \nL 104.426403 143.202422 \nL 104.051344 144.034516 \nL 103.487185 144.763847 \nL 102.746511 145.366257 \nL 101.84634 145.818892 \nL 100.808686 146.100271 \nL 99.661282 146.190761 \nL 98.438346 146.073481 \nL 97.181137 145.735804 \nL 95.938076 145.171385 \nL 94.764083 144.382678 \nL 93.71886 143.383642 \nL 92.863841 142.202209 \nL 92.257795 140.88189 \nL 91.951311 139.481726 \nL 91.980813 138.07399 \nL 92.363124 136.739316 \nL 93.091682 135.55953 \nL 94.135453 134.60921 \nL 95.441078 133.947567 \nL 96.937987 133.612285 \nL 98.545519 133.616619 \nL 100.180701 133.950102 \nL 101.765252 134.582372 \nL 103.230812 135.46888 \nL 104.521928 136.557075 \nL 105.596943 137.791907 \nL 106.427221 139.119955 \nL 106.995343 140.49196 \nL 107.292875 141.863924 \nL 107.318178 143.197083 \nL 107.074582 144.457181 \nL 106.569107 145.61331 \nL 105.811846 146.636636 \nL 104.81602 147.499196 \nL 103.598669 148.17295 \nL 102.181955 148.629209 \nL 100.594953 148.838678 \nL 98.875782 148.772286 \nL 97.07377 148.403034 \nL 95.251271 147.709136 \nL 93.484496 146.678483 \nL 91.862575 145.31435 \nL 90.484103 143.641695 \nL 89.917975 142.704852 \nL 89.450433 141.712898 \nL 89.092944 140.677216 \nL 88.855763 139.611103 \nL 88.747517 138.529582 \nL 88.774801 137.449135 \nL 88.941819 136.387304 \nL 89.250095 135.362232 \nL 89.698273 134.392079 \nL 90.28203 133.494431 \nL 90.994116 132.685675 \nL 91.824516 131.980407 \nL 92.760762 131.390923 \nL 93.788315 130.926808 \nL 94.891057 130.594653 \nL 96.05181 130.39795 \nL 97.252899 130.337109 \nL 98.476671 130.409644 \nL 99.705979 130.610474 \nL 100.924603 130.932307 \nL 103.27142 131.901423 \nL 105.416104 133.23158 \nL 107.284407 134.830165 \nL 108.827843 136.60799 \nL 110.019763 138.485874 \nL 110.850086 140.397394 \nL 111.319957 142.288838 \nL 111.437128 144.117429 \nL 111.212395 145.848689 \nL 110.65727 147.453562 \nL 109.782786 148.905609 \nL 108.599424 150.178465 \nL 107.118041 151.243579 \nL 105.351778 152.068384 \nL 103.318954 152.614959 \nL 101.046932 152.839485 \nL 98.576837 152.692879 \nL 95.968902 152.123238 \nL 94.638609 151.663973 \nL 93.307751 151.080906 \nL 91.991395 150.369556 \nL 90.706495 149.52684 \nL 89.471819 148.551529 \nL 88.30777 147.444759 \nL 87.23608 146.210549 \nL 86.279369 144.856305 \nL 85.460549 143.393262 \nL 84.802083 141.836809 \nL 84.32512 140.206662 \nL 84.04853 138.526781 \nL 83.987911 136.825041 \nL 84.154617 135.132573 \nL 84.554891 133.482795 \nL 85.189225 131.910172 \nL 86.051961 130.448757 \nL 87.131253 129.130623 \nL 88.409376 127.98432 \nL 89.863398 127.033504 \nL 91.466155 126.295873 \nL 93.187443 125.782454 \nL 94.995343 125.497421 \nL 96.857543 125.43829 \nL 98.742576 125.596549 \nL 100.62088 125.958622 \nL 102.46563 126.507001 \nL 104.253296 127.221451 \nL 105.963974 128.080204 \nL 107.581465 129.061038 \nL 109.093177 130.14215 \nL 110.48988 131.302861 \nL 111.765364 132.524096 \nL 112.916033 133.788689 \nL 114.839075 136.389486 \nL 116.26664 139.008313 \nL 117.222787 141.57705 \nL 117.738415 144.0504 \nL 117.84441 146.399427 \nL 117.567261 148.605688 \nL 116.926632 150.656334 \nL 115.934453 152.540084 \nL 114.59516 154.243867 \nL 112.906874 155.749832 \nL 110.863509 157.032504 \nL 108.457924 158.055937 \nL 105.686435 158.770868 \nL 104.16477 158.992956 \nL 102.555091 159.112118 \nL 100.861072 159.117434 \nL 99.088197 158.996883 \nL 97.244172 158.737428 \nL 95.339356 158.3252 \nL 93.387217 157.745779 \nL 91.404789 156.98462 \nL 89.413099 156.027644 \nL 87.437504 154.86202 \nL 85.507908 153.477164 \nL 83.658777 151.865918 \nL 81.928869 150.025962 \nL 80.360619 147.961317 \nL 78.999074 145.683896 \nL 77.890357 143.214921 \nL 77.079648 140.586032 \nL 76.608716 137.839812 \nL 76.513174 135.029551 \nL 76.819638 132.217974 \nL 77.54313 129.474874 \nL 78.685016 126.873685 \nL 80.231848 124.487191 \nL 82.155312 122.382789 \nL 84.413435 120.617868 \nL 86.952926 119.235895 \nL 89.712451 118.263707 \nL 92.626407 117.710413 \nL 95.628774 117.567918 \nL 98.656619 117.812986 \nL 101.652905 118.410345 \nL 104.568458 119.316435 \nL 107.363035 120.483165 \nL 110.005582 121.861367 \nL 112.473864 123.403616 \nL 114.753626 125.066222 \nL 116.837511 126.810528 \nL 118.723862 128.603495 \nL 120.415527 130.417772 \nL 121.918761 132.231408 \nL 123.242251 134.027313 \nL 125.392034 137.518034 \nL 126.954884 140.825918 \nL 128.020588 143.924919 \nL 128.669497 146.812072 \nL 128.967991 149.497157 \nL 128.966928 151.996028 \nL 128.701805 154.326515 \nL 128.193761 156.505971 \nL 127.450859 158.549765 \nL 126.469313 160.470293 \nL 125.234485 162.276161 \nL 123.721639 163.971206 \nL 121.896516 165.553153 \nL 119.715895 167.011601 \nL 117.128477 168.325025 \nL 114.076576 169.456441 \nL 110.49945 170.347331 \nL 108.495546 170.676447 \nL 106.339489 170.90952 \nL 104.026347 171.02923 \nL 101.55312 171.015064 \nL 98.919518 170.842974 \nL 96.128931 170.485106 \nL 93.189588 169.909636 \nL 90.115955 169.080828 \nL 86.9303 167.959407 \nL 83.664439 166.503409 \nL 80.361539 164.669676 \nL 77.077804 162.416185 \nL 73.88384 159.705417 \nL 70.865269 156.508872 \nL 68.122223 152.812751 \nL 65.767112 148.624545 \nL 63.92026 143.979963 \nL 62.70298 138.949221 \nL 62.228205 133.641233 \nL 62.589182 128.204036 \nL 63.847545 122.81984 \nL 66.022749 117.693798 \nL 69.085048 113.036806 \nL 72.954107 109.044324 \nL 77.504248 105.874774 \nL 82.57592 103.631813 \nL 87.991429 102.354215 \nL 93.571912 102.015464 \nL 99.15251 102.532616 \nL 104.593407 103.781886 \nL 109.78576 105.617056 \nL 114.652835 107.887001 \nL 119.147519 110.449674 \nL 123.247707 113.181218 \nL 126.950883 115.98042 \nL 130.268877 118.76934 \nL 133.223309 121.491407 \nL 135.841934 124.108196 \nL 140.197569 128.94104 \nL 143.592887 133.189625 \nL 147.410804 138.505401 \nL 151.156436 143.894353 \nL 152.795636 145.975521 \nL 154.431425 147.696827 \nL 156.151772 149.079014 \nL 158.029378 150.129921 \nL 160.12529 150.844842 \nL 162.491086 151.206991 \nL 165.169343 151.188143 \nL 168.19202 150.749795 \nL 171.576311 149.845412 \nL 175.317487 148.424701 \nL 179.378265 146.441212 \nL 183.674747 143.864878 \nL 185.868367 142.353975 \nL 188.059954 140.700861 \nL 190.21868 138.915864 \nL 192.308133 137.014943 \nL 194.28634 135.020555 \nL 196.106192 132.962395 \nL 197.71631 130.877758 \nL 199.062483 128.811452 \nL 200.08977 126.815012 \nL 200.745201 124.945074 \nL 200.981075 123.260809 \nL 200.758615 121.820465 \nL 200.051657 120.677166 \nL 198.849957 119.874394 \nL 197.16163 119.441733 \nL 195.0142 119.391478 \nL 192.454005 119.716853 \nL 189.543771 120.392259 \nL 186.35863 121.375643 \nL 182.981 122.612753 \nL 175.981534 125.602804 \nL 169.152335 128.890563 \nL 162.937644 132.119426 \nL 157.584577 135.099456 \nL 153.171103 137.782016 \nL 149.659969 140.201818 \nL 146.95081 142.423944 \nL 144.918679 144.51086 \nL 143.438085 146.508328 \nL 142.395889 148.443254 \nL 141.696837 150.327165 \nL 141.264745 152.161132 \nL 141.04135 153.940225 \nL 141.008265 156.488932 \nL 141.262451 158.868853 \nL 141.765328 161.054377 \nL 142.517541 163.022381 \nL 143.172592 164.201901 \nL 143.969667 165.265892 \nL 144.931919 166.203962 \nL 146.088911 167.002609 \nL 147.477279 167.643917 \nL 149.141559 168.10391 \nL 151.135067 168.350442 \nL 153.520653 168.340518 \nL 156.370972 168.016909 \nL 159.767709 167.304042 \nL 163.798732 166.103397 \nL 168.551529 164.289102 \nL 171.22285 163.104338 \nL 174.100346 161.705527 \nL 177.187471 160.069075 \nL 180.483193 158.17054 \nL 183.980367 155.985572 \nL 187.663735 153.49132 \nL 191.50759 150.668448 \nL 195.473068 147.503915 \nL 199.505232 143.994574 \nL 203.530089 140.151712 \nL 207.451933 136.006397 \nL 211.151524 131.615338 \nL 214.48585 127.066605 \nL 217.290425 122.484095 \nL 219.385236 118.029129 \nL 220.585258 113.897128 \nL 220.716083 110.307217 \nL 219.634108 107.483365 \nL 217.249244 105.627256 \nL 213.546127 104.886068 \nL 208.598466 105.32164 \nL 202.571111 106.889858 \nL 195.706573 109.438445 \nL 188.297213 112.726956 \nL 180.648927 116.4653 \nL 152.522733 130.777567 \nL 146.805779 133.438985 \nL 141.699492 135.657846 \nL 137.180323 137.473599 \nL 129.726679 140.129901 \nL 124.03134 141.885883 \nL 113.605676 144.955752 \nL 104.195395 148.076882 \nL 102.453616 148.322791 \nL 100.673229 148.361727 \nL 98.862844 148.159939 \nL 97.05027 147.688504 \nL 95.281379 146.926424 \nL 93.618467 145.864716 \nL 92.13726 144.511191 \nL 90.92194 142.895439 \nL 90.05766 141.072759 \nL 89.781664 140.108545 \nL 89.620766 139.125517 \nL 89.581304 138.137738 \nL 89.667696 137.160325 \nL 89.882163 136.209079 \nL 90.224515 135.300027 \nL 90.692041 134.448933 \nL 91.279483 133.67078 \nL 91.97913 132.979271 \nL 92.781 132.386344 \nL 93.673135 131.901801 \nL 94.641962 131.533003 \nL 95.672724 131.2847 \nL 96.749917 131.158973 \nL 97.857764 131.155317 \nL 98.980638 131.270807 \nL 101.211992 131.837206 \nL 103.335227 132.798367 \nL 105.262054 134.077728 \nL 106.927277 135.593149 \nL 108.287766 137.265529 \nL 109.31912 139.024076 \nL 110.011264 140.808564 \nL 110.364013 142.569286 \nL 110.383243 144.265572 \nL 110.077987 145.863571 \nL 109.458569 147.333802 \nL 108.535784 148.64875 \nL 107.321067 149.780671 \nL 105.827606 150.699729 \nL 104.072365 151.372565 \nL 102.078968 151.761497 \nL 99.881399 151.824599 \nL 97.528284 151.51717 \nL 95.087368 150.795083 \nL 93.861363 150.266291 \nL 92.649372 149.620638 \nL 91.46666 148.855862 \nL 90.329993 147.971355 \nL 89.257483 146.968583 \nL 88.26831 145.851505 \nL 87.38235 144.626978 \nL 86.619667 143.305102 \nL 85.999908 141.899481 \nL 85.541573 140.427334 \nL 85.261244 138.909445 \nL 85.172753 137.369872 \nL 85.286383 135.835426 \nL 85.608161 134.334903 \nL 86.139303 132.898099 \nL 86.875854 131.554628 \nL 87.80861 130.332674 \nL 88.923308 129.257728 \nL 90.201108 128.351432 \nL 91.61933 127.630649 \nL 93.15239 127.106803 \nL 94.772848 126.78561 \nL 96.452509 126.667116 \nL 98.163456 126.746085 \nL 99.879002 127.012691 \nL 101.574444 127.453364 \nL 103.227635 128.05175 \nL 104.819354 128.789705 \nL 106.333471 129.648189 \nL 107.75696 130.608082 \nL 109.079756 131.650832 \nL 110.294534 132.758962 \nL 112.382547 135.108655 \nL 114.004888 137.54819 \nL 115.168042 139.994825 \nL 115.891348 142.389072 \nL 116.199299 144.689735 \nL 116.116065 146.868583 \nL 115.662045 148.905425 \nL 114.852086 150.783883 \nL 113.69504 152.487809 \nL 112.194427 153.998135 \nL 110.350104 155.290045 \nL 108.160993 156.330311 \nL 105.629017 157.074803 \nL 102.76457 157.466382 \nL 101.214976 157.508089 \nL 99.593761 157.433705 \nL 97.908153 157.232204 \nL 96.167617 156.891941 \nL 94.384209 156.400897 \nL 92.572947 155.747027 \nL 90.75213 154.918751 \nL 88.943618 153.90558 \nL 87.172987 152.698902 \nL 85.469534 151.29292 \nL 83.866074 149.685741 \nL 82.398455 147.880548 \nL 81.104772 145.886809 \nL 80.024175 143.721384 \nL 79.195351 141.409431 \nL 78.654635 138.98489 \nL 78.433894 136.490436 \nL 78.558286 133.976683 \nL 79.044145 131.50059 \nL 79.897195 129.123035 \nL 81.111347 126.9057 \nL 82.6683 124.907495 \nL 84.538036 123.180875 \nL 86.680243 121.768538 \nL 89.046531 120.700809 \nL 91.583196 119.994106 \nL 94.234242 119.650662 \nL 96.944325 119.659393 \nL 99.66133 119.997804 \nL 102.338394 120.6346 \nL 104.93527 121.532572 \nL 107.41903 122.651466 \nL 109.764187 123.950548 \nL 111.952341 125.390652 \nL 113.971524 126.935674 \nL 115.81534 128.55349 \nL 117.482027 130.216431 \nL 118.973521 131.901324 \nL 120.29458 133.589296 \nL 121.451999 135.265383 \nL 123.309344 138.538747 \nL 124.617668 141.661521 \nL 125.449224 144.606015 \nL 125.868335 147.364751 \nL 125.927164 149.9418 \nL 125.664035 152.346854 \nL 125.103253 154.591318 \nL 124.255738 156.685658 \nL 123.120008 158.637469 \nL 121.683269 160.449818 \nL 119.922551 162.119488 \nL 117.805992 163.634824 \nL 115.294542 164.972819 \nL 112.344541 166.095199 \nL 108.911935 166.943243 \nL 107.002406 167.238869 \nL 104.959195 167.431276 \nL 102.780452 167.504317 \nL 100.46643 167.439239 \nL 98.020205 167.21451 \nL 95.44851 166.805738 \nL 92.762716 166.185738 \nL 89.979943 165.324818 \nL 87.124271 164.191354 \nL 84.22799 162.752811 \nL 81.332793 160.977267 \nL 78.49076 158.835604 \nL 75.764944 156.304401 \nL 73.229234 153.369613 \nL 70.967266 150.030849 \nL 69.070004 146.306043 \nL 67.631748 142.235957 \nL 66.744512 137.887788 \nL 66.490895 133.356914 \nL 66.93605 128.765727 \nL 68.119667 124.258783 \nL 70.049266 119.993936 \nL 72.69618 116.129931 \nL 75.995321 112.811951 \nL 79.849235 110.157394 \nL 84.136066 108.244363 \nL 88.720178 107.105127 \nL 93.463661 106.725672 \nL 98.236862 107.051096 \nL 102.926468 107.995425 \nL 107.440457 109.453596 \nL 111.709897 111.313396 \nL 115.68817 113.465523 \nL 119.348465 115.810843 \nL 122.680379 118.26466 \nL 125.686309 120.758304 \nL 128.37806 123.2388 \nL 130.773936 125.667268 \nL 132.896367 128.016729 \nL 136.42071 132.416277 \nL 139.15426 136.37503 \nL 141.289909 139.894975 \nL 143.737122 144.422494 \nL 146.868787 150.284209 \nL 148.069429 152.131053 \nL 149.34885 153.722375 \nL 150.766276 155.065037 \nL 152.376205 156.15641 \nL 154.231175 156.983939 \nL 156.383677 157.524363 \nL 158.887 157.742673 \nL 161.794743 157.59085 \nL 165.158408 157.006713 \nL 169.02228 155.913516 \nL 173.414372 154.221505 \nL 175.809373 153.120571 \nL 178.331916 151.83345 \nL 180.973313 150.348892 \nL 183.719827 148.65734 \nL 186.551571 146.752047 \nL 189.441328 144.630424 \nL 192.353385 142.295726 \nL 195.242424 139.758972 \nL 198.052673 137.041071 \nL 200.717517 134.174996 \nL 203.159783 131.207717 \nL 205.293046 128.201584 \nL 207.024243 125.234631 \nL 208.257811 122.399269 \nL 208.901495 119.79883 \nL 208.873665 117.541583 \nL 208.111598 115.732235 \nL 206.579824 114.461498 \nL 204.277189 113.795027 \nL 201.241144 113.763645 \nL 197.547983 114.357087 \nL 193.308301 115.52309 \nL 188.658018 117.172727 \nL 183.746308 119.191218 \nL 178.7225 121.452186 \nL 168.86865 126.223631 \nL 149.048907 136.266908 \nL 141.246457 140.432786 \nL 137.456512 142.720511 \nL 134.525426 144.798198 \nL 132.233098 146.768632 \nL 130.38798 148.689522 \nL 128.117298 151.526077 \nL 123.960682 156.992143 \nL 122.383012 158.70101 \nL 120.600176 160.32226 \nL 118.554796 161.832513 \nL 116.191668 163.202179 \nL 113.457295 164.391818 \nL 110.301274 165.34739 \nL 108.551152 165.715099 \nL 106.680274 165.994396 \nL 104.685567 166.171671 \nL 102.565606 166.231189 \nL 100.321155 166.154901 \nL 97.955797 165.922325 \nL 95.476717 165.510509 \nL 92.895566 164.89414 \nL 90.229467 164.045874 \nL 87.502068 162.936924 \nL 84.744613 161.538057 \nL 81.996953 159.821065 \nL 79.308319 157.760774 \nL 76.737705 155.337707 \nL 74.353617 152.541344 \nL 72.232928 149.3739 \nL 70.458582 145.85432 \nL 69.115959 142.022095 \nL 68.287837 137.940182 \nL 68.048154 133.696279 \nL 68.455032 129.401582 \nL 69.543893 125.186451 \nL 71.321711 121.192643 \nL 73.76356 117.562686 \nL 76.812331 114.427535 \nL 80.382054 111.894348 \nL 84.364544 110.036496 \nL 88.638386 108.887599 \nL 93.078816 108.440626 \nL 97.566954 108.65193 \nL 101.997192 109.449186 \nL 106.28195 110.741397 \nL 110.353805 112.429191 \nL 114.16532 114.413828 \nL 117.687228 116.603951 \nL 120.905701 118.919892 \nL 123.819266 121.295633 \nL 126.435804 123.67897 \nL 128.769886 126.030487 \nL 130.840538 128.321852 \nL 134.279659 132.654473 \nL 136.93667 136.599433 \nL 138.989991 140.14579 \nL 141.280402 144.768936 \nL 145.463608 153.816247 \nL 146.499733 155.476788 \nL 147.645549 156.925063 \nL 148.948255 158.162151 \nL 150.454402 159.181161 \nL 152.212082 159.966565 \nL 154.272519 160.49312 \nL 156.690921 160.724345 \nL 159.526313 160.610591 \nL 162.839826 160.08689 \nL 166.690595 159.07107 \nL 171.127942 157.463123 \nL 173.576172 156.401476 \nL 176.178004 155.147705 \nL 178.929603 153.686439 \nL 181.822492 152.003032 \nL 184.84231 150.08456 \nL 187.967395 147.921159 \nL 191.167253 145.507743 \nL 194.400947 142.846147 \nL 197.615597 139.947675 \nL 200.745108 136.835945 \nL 203.709477 133.549889 \nL 206.415002 130.146516 \nL 208.755838 126.702935 \nL 210.61734 123.31693 \nL 211.881603 120.105269 \nL 212.435357 117.198857 \nL 212.180012 114.734204 \nL 211.043059 112.841237 \nL 208.989371 111.628353 \nL 206.03033 111.166954 \nL 202.228528 111.478525 \nL 197.696175 112.52773 \nL 192.586569 114.22409 \nL 187.079603 116.432873 \nL 181.363937 118.993275 \nL 170.002121 124.521489 \nL 150.772514 134.107324 \nL 133.618992 142.488429 \nL 130.237474 144.435501 \nL 127.572335 146.243184 \nL 125.396816 147.987865 \nL 122.652978 150.547187 \nL 119.249854 153.82379 \nL 117.430758 155.354778 \nL 115.432442 156.773258 \nL 113.1956 158.041518 \nL 110.671614 159.114309 \nL 107.822927 159.935897 \nL 104.625881 160.436614 \nL 102.894488 160.540227 \nL 101.076511 160.529537 \nL 99.176039 160.390645 \nL 97.199746 160.108471 \nL 95.157363 159.66692 \nL 93.062198 159.049145 \nL 90.931665 158.237998 \nL 88.787788 157.21665 \nL 86.657643 155.969474 \nL 84.573646 154.483151 \nL 82.573637 152.748072 \nL 80.700638 150.759967 \nL 79.002174 148.521736 \nL 77.529098 146.045338 \nL 76.333804 143.353567 \nL 75.467838 140.481463 \nL 74.978957 137.477057 \nL 74.9078 134.401129 \nL 75.284457 131.325732 \nL 76.125314 128.331298 \nL 77.430584 125.502412 \nL 79.18299 122.922504 \nL 81.347861 120.668046 \nL 83.874778 118.802916 \nL 86.700641 117.373767 \nL 89.753811 116.407039 \nL 92.958784 115.907994 \nL 96.240814 115.86187 \nL 99.529956 116.236805 \nL 102.764177 116.987976 \nL 105.891344 118.06229 \nL 108.870111 119.402977 \nL 111.669878 120.953536 \nL 114.270033 122.660813 \nL 116.658759 124.477042 \nL 118.831618 126.360999 \nL 120.790085 128.278348 \nL 122.540163 130.201438 \nL 124.09114 132.108736 \nL 125.454528 133.984056 \nL 127.670616 137.595764 \nL 129.295872 140.98311 \nL 130.433611 144.130218 \nL 131.174578 147.04272 \nL 131.593344 149.737272 \nL 131.747614 152.235157 \nL 131.679132 154.558589 \nL 131.415286 156.728751 \nL 130.970847 158.764765 \nL 130.349522 160.683267 \nL 129.545161 162.498191 \nL 128.542546 164.2206 \nL 127.317785 165.858381 \nL 125.838358 167.415626 \nL 124.062918 168.891528 \nL 121.941009 170.278543 \nL 119.412969 171.559512 \nL 116.410467 172.703302 \nL 112.858379 173.658463 \nL 108.67926 174.344262 \nL 106.331796 174.550017 \nL 103.802298 174.638648 \nL 101.085628 174.585982 \nL 98.179693 174.363306 \nL 95.086665 173.936905 \nL 91.814474 173.267727 \nL 88.378626 172.311314 \nL 84.804312 171.018118 \nL 81.128806 169.334463 \nL 77.403983 167.204381 \nL 73.69877 164.57266 \nL 70.101159 161.3894 \nL 66.719226 157.616297 \nL 63.680499 153.234722 \nL 61.128811 148.255215 \nL 59.217861 142.727521 \nL 58.101007 136.749521 \nL 57.917348 130.472674 \nL 58.775226 124.101311 \nL 60.735433 117.883199 \nL 63.797451 112.090407 \nL 67.892318 106.991726 \nL 72.884867 102.820829 \nL 78.586105 99.746633 \nL 84.773704 97.852749 \nL 91.216391 97.130883 \nL 97.697103 97.489364 \nL 104.030617 98.77364 \nL 110.073441 100.792994 \nL 115.726087 103.347081 \nL 120.929507 106.247358 \nL 125.658189 109.33111 \nL 129.91212 112.467956 \nL 133.709189 115.56046 \nL 137.078829 118.540852 \nL 140.057136 121.365892 \nL 144.997414 126.466337 \nL 148.843761 130.80696 \nL 157.468005 140.930425 \nL 159.349372 142.682075 \nL 161.216556 144.023457 \nL 163.155881 144.980993 \nL 165.231759 145.567186 \nL 167.489524 145.783032 \nL 169.956428 145.620775 \nL 172.64071 145.067403 \nL 175.528706 144.10927 \nL 178.580191 142.738377 \nL 181.722516 140.960743 \nL 184.84471 138.80687 \nL 187.793657 136.3435 \nL 190.375457 133.68436 \nL 191.459257 132.331323 \nL 192.36588 130.995693 \nL 193.066331 129.705567 \nL 193.533346 128.490757 \nL 193.742815 127.381655 \nL 193.675243 126.407839 \nL 193.317227 125.596469 \nL 192.662709 124.970642 \nL 191.713939 124.547813 \nL 190.481974 124.338533 \nL 188.986624 124.345614 \nL 187.255795 124.56391 \nL 185.324261 124.980737 \nL 183.231958 125.576932 \nL 178.738461 127.208038 \nL 174.120498 129.239556 \nL 169.681952 131.462854 \nL 165.648891 133.718034 \nL 162.159689 135.90688 \nL 159.27533 137.984278 \nL 156.99956 139.939862 \nL 155.300356 141.779825 \nL 154.127991 143.513825 \nL 153.428161 145.147684 \nL 153.150497 146.680519 \nL 153.253424 148.104399 \nL 153.706473 149.405125 \nL 154.490919 150.56309 \nL 155.599391 151.553854 \nL 157.034832 152.348181 \nL 158.808983 152.911631 \nL 160.940351 153.203792 \nL 163.451445 153.177437 \nL 166.364867 152.777941 \nL 169.697659 151.943575 \nL 173.453144 150.607553 \nL 177.609419 148.70323 \nL 182.103838 146.174267 \nL 184.442425 144.664839 \nL 186.813645 142.991939 \nL 189.189239 141.160562 \nL 191.534643 139.181165 \nL 193.808625 137.070846 \nL 195.963242 134.854487 \nL 197.944222 132.565728 \nL 199.691966 130.247522 \nL 201.143234 127.952113 \nL 202.233673 125.740115 \nL 202.901181 123.678524 \nL 203.090011 121.837473 \nL 202.755383 120.285767 \nL 201.868133 119.085494 \nL 200.418834 118.286164 \nL 198.420724 117.919285 \nL 195.910769 117.994255 \nL 192.948457 118.496475 \nL 189.612266 119.388275 \nL 185.994136 120.612696 \nL 182.1927 122.099566 \nL 174.426421 125.558047 \nL 166.992393 129.208576 \nL 160.350757 132.669557 \nL 154.723904 135.77128 \nL 150.147089 138.503773 \nL 146.539191 140.938211 \nL 143.762879 143.165266 \nL 141.664989 145.261911 \nL 140.099463 147.280541 \nL 138.938195 149.250307 \nL 138.074543 151.183132 \nL 137.154736 154.014124 \nL 136.315528 157.634513 \nL 134.87807 164.20788 \nL 134.182831 166.433178 \nL 133.300734 168.540351 \nL 132.157199 170.544158 \nL 131.204659 171.830517 \nL 130.061091 173.082307 \nL 128.685686 174.302505 \nL 127.029412 175.49165 \nL 125.033503 176.646031 \nL 122.628007 177.754892 \nL 119.730666 178.796124 \nL 116.246726 179.729701 \nL 112.070699 180.487853 \nL 109.688529 180.768972 \nL 107.092061 180.960762 \nL 104.268782 181.03965 \nL 101.2081 180.976605 \nL 97.902529 180.736221 \nL 94.349274 180.275772 \nL 90.552271 179.544361 \nL 86.524772 178.482323 \nL 82.292509 177.021089 \nL 77.897459 175.083883 \nL 73.402053 172.587735 \nL 68.893577 169.447367 \nL 64.488186 165.581654 \nL 60.333667 160.923267 \nL 56.609613 155.431857 \nL 53.523416 149.110446 \nL 51.300314 142.023538 \nL 50.166282 134.313886 \nL 50.323647 126.213093 \nL 51.92178 118.040089 \nL 55.027695 110.182268 \nL 59.603846 103.057256 \nL 65.500608 97.059326 \nL 72.468251 92.501102 \nL 80.187605 89.565458 \nL 88.312503 88.281273 \nL 96.51323 88.529666 \nL 104.5107 90.077237 \nL 112.095371 92.62484 \nL 119.130632 95.857639 \nL 125.544637 99.485114 \nL 131.316168 103.265605 \nL 136.45945 107.015757 \nL 141.010874 110.608659 \nL 148.536919 117.044568 \nL 156.680713 124.547947 \nL 164.882844 132.233464 \nL 168.009988 134.831797 \nL 169.700604 135.982517 \nL 171.199 136.764864 \nL 172.574471 137.239662 \nL 173.870634 137.454149 \nL 175.110118 137.446682 \nL 176.298343 137.250579 \nL 177.426694 136.89722 \nL 178.961259 136.142475 \nL 180.215677 135.222957 \nL 181.073049 134.269353 \nL 181.36997 133.682859 \nL 181.419169 133.181943 \nL 181.209257 132.801154 \nL 180.743091 132.567262 \nL 180.038974 132.496856 \nL 179.130096 132.595049 \nL 177.485419 133.042026 \nL 175.671574 133.791902 \nL 173.885002 134.755004 \nL 172.301457 135.832955 \nL 171.056833 136.933561 \nL 170.241233 137.977011 \nL 169.96112 138.60696 \nL 169.899384 139.163296 \nL 170.056118 139.629432 \nL 170.42679 139.98978 \nL 171.002791 140.229698 \nL 171.771556 140.335743 \nL 172.716297 140.296173 \nL 174.414494 139.944592 \nL 176.360377 139.231239 \nL 178.419489 138.171503 \nL 180.416951 136.822785 \nL 182.141625 135.294431 \nL 183.026612 134.254016 \nL 183.623142 133.263626 \nL 183.876011 132.385258 \nL 183.747082 131.678322 \nL 183.533815 131.405305 \nL 182.813317 131.044411 \nL 181.726796 130.948556 \nL 180.329147 131.120731 \nL 178.697527 131.543237 \nL 176.923155 132.181676 \nL 174.202279 133.444671 \nL 171.67113 134.929316 \nL 169.559309 136.490058 \nL 168.460235 137.515363 \nL 167.639042 138.497047 \nL 167.10841 139.412978 \nL 166.872069 140.243522 \nL 166.927518 140.970134 \nL 167.268113 141.574409 \nL 167.884394 142.037581 \nL 168.764636 142.340458 \nL 169.894579 142.463738 \nL 171.256459 142.388777 \nL 172.827351 142.098807 \nL 174.576971 141.580721 \nL 176.465097 140.827461 \nL 178.438896 139.841099 \nL 180.430637 138.636433 \nL 182.356472 137.244747 \nL 184.117203 135.71705 \nL 185.601996 134.125636 \nL 186.69594 132.562596 \nL 187.29165 131.133962 \nL 187.374763 130.504432 \nL 187.304005 129.948923 \nL 187.074767 129.479145 \nL 186.68563 129.105068 \nL 186.138628 128.834463 \nL 185.439342 128.672551 \nL 184.596859 128.621761 \nL 182.534679 128.848985 \nL 180.082628 129.480712 \nL 177.398894 130.447621 \nL 174.647934 131.662172 \nL 171.980876 133.035074 \nL 169.521805 134.487847 \nL 167.361552 135.959106 \nL 165.558126 137.404939 \nL 164.141596 138.795543 \nL 163.121036 140.110324 \nL 162.491666 141.333292 \nL 162.241019 142.44954 \nL 162.353652 143.442945 \nL 162.814298 144.29496 \nL 163.609575 144.98406 \nL 164.728443 145.485709 \nL 166.161549 145.772589 \nL 167.899551 145.815179 \nL 169.930453 145.582744 \nL 172.235898 145.045069 \nL 174.786412 144.175191 \nL 177.535671 142.953625 \nL 180.414091 141.374406 \nL 183.3226 139.453005 \nL 186.12797 137.235636 \nL 188.66208 134.808372 \nL 190.728099 132.30303 \nL 191.519939 131.074585 \nL 192.116577 129.895413 \nL 192.494362 128.792052 \nL 192.632826 127.791205 \nL 192.515926 126.918508 \nL 192.133243 126.197176 \nL 191.480984 125.646622 \nL 190.562708 125.281188 \nL 189.389642 125.109175 \nL 187.980542 125.132232 \nL 186.36105 125.345246 \nL 184.562601 125.736767 \nL 180.574497 126.983823 \nL 176.323111 128.698678 \nL 172.103117 130.69051 \nL 168.155702 132.794096 \nL 164.648494 134.892187 \nL 161.675727 136.917288 \nL 159.271374 138.840189 \nL 157.427243 140.654398 \nL 156.110361 142.36265 \nL 155.276914 143.967961 \nL 154.88209 145.468971 \nL 154.886288 146.858312 \nL 155.258551 148.122526 \nL 155.978016 149.242592 \nL 157.034044 150.194417 \nL 158.425452 150.948998 \nL 160.159059 151.472239 \nL 162.247562 151.724531 \nL 164.70658 151.660303 \nL 167.550486 151.227991 \nL 170.786558 150.370968 \nL 174.406787 149.030368 \nL 178.376786 147.15099 \nL 182.621472 144.691906 \nL 184.808095 143.240082 \nL 187.008172 141.643278 \nL 189.193301 139.909017 \nL 191.329571 138.050048 \nL 193.37744 136.085273 \nL 195.291928 134.04058 \nL 197.02323 131.949419 \nL 198.517867 129.85298 \nL 199.720444 127.799785 \nL 200.576061 125.844503 \nL 201.033367 124.045844 \nL 201.048089 122.463515 \nL 200.586804 121.154305 \nL 199.630549 120.167628 \nL 198.177797 119.540965 \nL 196.2463 119.295883 \nL 193.873366 119.435346 \nL 191.114333 119.942873 \nL 188.039287 120.783856 \nL 184.728384 121.908973 \nL 181.266365 123.259187 \nL 174.218204 126.384565 \nL 167.473318 129.70236 \nL 161.429229 132.893926 \nL 156.286812 135.808798 \nL 152.088917 138.425864 \nL 148.776564 140.793076 \nL 146.23868 142.978306 \nL 144.347057 145.041412 \nL 142.977295 147.023837 \nL 142.019497 148.948488 \nL 141.382427 150.82396 \nL 140.993883 152.649556 \nL 140.799149 154.419517 \nL 140.787391 156.952839 \nL 141.043093 159.316273 \nL 141.532013 161.485968 \nL 142.256794 163.440825 \nL 142.886214 164.614124 \nL 143.651445 165.674741 \nL 144.575056 166.613081 \nL 145.685802 167.416596 \nL 147.019303 168.068544 \nL 148.618915 168.546429 \nL 150.536669 168.82 \nL 152.834138 168.848672 \nL 155.582928 168.578242 \nL 158.86427 167.93686 \nL 162.766803 166.830344 \nL 167.381061 165.13745 \nL 172.788235 162.706548 \nL 175.807187 161.158793 \nL 179.039596 159.356939 \nL 182.481492 157.275808 \nL 186.121631 154.89097 \nL 189.939254 152.180511 \nL 193.901452 149.127489 \nL 197.960254 145.723254 \nL 202.049515 141.971687 \nL 206.081966 137.894374 \nL 209.946816 133.536495 \nL 213.508618 128.972946 \nL 216.608297 124.313786 \nL 219.067423 119.707498 \nL 220.696841 115.340164 \nL 221.310501 111.428223 \nL 220.744446 108.202864 \nL 218.879656 105.885347 \nL 215.665382 104.655127 \nL 211.137862 104.616047 \nL 205.428473 105.769116 \nL 198.756618 108.001345 \nL 191.406401 111.097089 \nL 183.6914 114.771364 \nL 168.34245 122.650733 \nL 154.534687 129.668665 \nL 148.503182 132.533479 \nL 143.097175 134.933223 \nL 138.301569 136.898503 \nL 134.078651 138.48391 \nL 127.145237 140.771272 \nL 119.704807 142.844859 \nL 112.128132 144.938741 \nL 104.767811 147.228675 \nL 103.12212 147.528478 \nL 101.462968 147.655171 \nL 99.785684 147.576754 \nL 98.104707 147.265171 \nL 96.451923 146.69879 \nL 94.874918 145.865481 \nL 93.434498 144.76635 \nL 92.200891 143.419709 \nL 91.248111 141.864592 \nL 90.646479 140.162723 \nL 90.453726 138.397653 \nL 90.523014 137.52243 \nL 90.705889 136.670072 \nL 91.002224 135.854401 \nL 91.409765 135.089018 \nL 91.924119 134.386895 \nL 92.53881 133.759961 \nL 93.245424 133.218718 \nL 94.03384 132.771924 \nL 94.892513 132.426345 \nL 95.808809 132.186575 \nL 96.76937 132.054998 \nL 98.768466 132.115122 \nL 100.782181 132.584694 \nL 102.712501 133.416118 \nL 104.477551 134.545507 \nL 106.014579 135.901933 \nL 107.279835 137.414949 \nL 108.246333 139.01961 \nL 108.900482 140.658998 \nL 109.238493 142.28473 \nL 109.263131 143.856107 \nL 108.981155 145.338472 \nL 108.401662 146.701235 \nL 107.535289 147.915885 \nL 106.394344 148.954111 \nL 104.993767 149.786269 \nL 103.352911 150.380276 \nL 101.498061 150.701128 \nL 99.465578 150.711315 \nL 97.30542 150.372544 \nL 95.08459 149.649122 \nL 92.889775 148.513478 \nL 91.834826 147.786549 \nL 90.828036 146.95393 \nL 89.885553 146.018235 \nL 89.02422 144.984308 \nL 88.261223 143.859526 \nL 87.613646 142.654041 \nL 87.097935 141.380917 \nL 86.729298 140.056157 \nL 86.521077 138.698571 \nL 86.484083 137.329492 \nL 86.625989 135.972267 \nL 86.950806 134.651605 \nL 87.458478 133.392735 \nL 88.144662 132.220478 \nL 89.000706 131.158249 \nL 90.013851 130.227083 \nL 91.167643 129.444761 \nL 92.442535 128.825101 \nL 93.81664 128.377498 \nL 95.266551 128.10669 \nL 96.768224 128.012831 \nL 98.297791 128.09178 \nL 99.832313 128.335625 \nL 101.350396 128.733336 \nL 102.832667 129.271508 \nL 104.262087 129.935118 \nL 105.624124 130.708254 \nL 106.906785 131.57475 \nL 109.198153 133.525081 \nL 111.086188 135.669458 \nL 112.549898 137.909887 \nL 113.588703 140.169235 \nL 114.214399 142.38956 \nL 114.444591 144.528452 \nL 114.297901 146.55478 \nL 113.790878 148.444496 \nL 112.936411 150.176891 \nL 111.743408 151.731286 \nL 110.217596 153.084125 \nL 108.36337 154.206404 \nL 106.186736 155.06135 \nL 103.69948 155.602553 \nL 100.92473 155.772847 \nL 99.441575 155.698125 \nL 97.903983 155.504596 \nL 96.321376 155.182617 \nL 94.705401 154.722433 \nL 93.070196 154.1145 \nL 91.43262 153.349926 \nL 89.812421 152.420995 \nL 88.232314 151.321823 \nL 86.717907 150.049121 \nL 85.297474 148.603042 \nL 84.001494 146.988073 \nL 82.861964 145.21392 \nL 81.91141 143.296306 \nL 81.181666 141.257569 \nL 80.702393 139.126944 \nL 80.499444 136.940407 \nL 80.593181 134.740013 \nL 80.996873 132.572605 \nL 81.715367 130.487986 \nL 82.744179 128.536566 \nL 84.069163 126.766709 \nL 85.666822 125.221979 \nL 87.505302 123.938648 \nL 89.545968 122.943659 \nL 91.745417 122.253323 \nL 94.057729 121.872902 \nL 96.436723 121.797016 \nL 98.838022 122.010834 \nL 101.220752 122.491862 \nL 103.548797 123.212011 \nL 105.791565 124.139738 \nL 107.924303 125.242102 \nL 109.928041 126.486457 \nL 111.789216 127.841823 \nL 113.499123 129.27982 \nL 115.05324 130.775242 \nL 116.45051 132.306301 \nL 117.692641 133.854637 \nL 118.783445 135.405136 \nL 120.533366 138.466637 \nL 121.752355 141.422762 \nL 122.496442 144.235798 \nL 122.817358 146.888249 \nL 122.757747 149.37485 \nL 122.348826 151.696707 \nL 121.609661 153.857043 \nL 120.54743 155.858067 \nL 119.158295 157.698401 \nL 117.428694 159.370723 \nL 115.337089 160.859223 \nL 112.856351 162.136604 \nL 109.957262 163.160401 \nL 108.342367 163.558703 \nL 106.613734 163.868526 \nL 104.769882 164.078234 \nL 102.810716 164.174339 \nL 100.737997 164.141393 \nL 98.555894 163.961914 \nL 96.271643 163.6164 \nL 93.896275 163.083454 \nL 91.445425 162.340098 \nL 88.940191 161.362295 \nL 86.407981 160.125795 \nL 83.883315 158.607315 \nL 81.408405 156.78619 \nL 79.033456 154.646458 \nL 76.816468 152.17942 \nL 74.822348 149.386585 \nL 73.121164 146.282769 \nL 71.785393 142.899085 \nL 70.886109 139.285322 \nL 70.488204 135.511178 \nL 70.64498 131.665689 \nL 71.392666 127.854426 \nL 72.745561 124.194154 \nL 74.692667 120.80518 \nL 77.196519 117.802103 \nL 80.194677 115.284129 \nL 83.603861 113.326453 \nL 87.326232 111.974174 \nL 91.256896 111.239628 \nL 95.291538 111.103632 \nL 99.333114 111.520024 \nL 103.29688 112.422615 \nL 107.113444 113.733076 \nL 110.72986 115.368639 \nL 114.109153 117.24853 \nL 117.228748 119.298681 \nL 120.078281 121.454637 \nL 122.657206 123.662793 \nL 124.972471 125.880405 \nL 127.036446 128.07478 \nL 128.865166 130.221963 \nL 131.891055 134.313937 \nL 134.205012 138.085355 \nL 135.958049 141.521232 \nL 137.285211 144.635879 \nL 138.722085 148.766219 \nL 140.325818 154.455474 \nL 141.398798 158.152841 \nL 142.278678 160.513561 \nL 143.332019 162.551507 \nL 144.177181 163.734018 \nL 145.171818 164.771619 \nL 146.350062 165.655498 \nL 147.751173 166.371186 \nL 149.420859 166.897315 \nL 151.41246 167.203843 \nL 153.78785 167.24968 \nL 156.617782 166.979596 \nL 159.981086 166.320469 \nL 163.961803 165.177085 \nL 168.642657 163.428231 \nL 171.268199 162.281223 \nL 174.092431 160.92486 \nL 177.118127 159.336755 \nL 180.343666 157.493833 \nL 183.761472 155.373254 \nL 187.356144 152.95377 \nL 191.102228 150.21767 \nL 194.961715 147.153382 \nL 198.881323 143.758894 \nL 202.789766 140.045967 \nL 206.595349 136.045092 \nL 210.184367 131.810861 \nL 213.420995 127.427165 \nL 216.14956 123.011191 \nL 218.20012 118.714744 \nL 219.398242 114.721094 \nL 219.579392 111.23541 \nL 218.607422 108.467613 \nL 216.395365 106.607767 \nL 212.92491 105.796886 \nL 208.259898 106.098767 \nL 202.54889 107.480589 \nL 196.013883 109.809661 \nL 188.925907 112.869944 \nL 181.572365 116.395617 \nL 154.197013 130.282686 \nL 148.567781 132.948056 \nL 143.521985 135.200723 \nL 135.09469 138.61033 \nL 128.598788 140.920055 \nL 116.78269 144.887917 \nL 113.234722 146.346981 \nL 107.568765 148.810825 \nL 105.726893 149.403389 \nL 103.81914 149.816569 \nL 101.828204 150.007505 \nL 99.758435 149.933447 \nL 97.635591 149.55381 \nL 95.507148 148.833366 \nL 93.442277 147.746989 \nL 91.530503 146.286111 \nL 90.664677 145.41898 \nL 89.877788 144.466459 \nL 89.184407 143.435585 \nL 88.598957 142.335799 \nL 88.135244 141.179014 \nL 87.805946 139.9796 \nL 87.62208 138.754245 \nL 87.592467 137.521672 \nL 87.723231 136.302212 \nL 88.017383 135.117238 \nL 88.474505 133.988482 \nL 89.090574 132.937264 \nL 89.857952 131.983692 \nL 90.765555 131.145882 \nL 91.799179 130.439248 \nL 92.94199 129.875933 \nL 94.17511 129.464413 \nL 95.478301 129.209301 \nL 96.830662 129.111375 \nL 98.211307 129.167784 \nL 99.599993 129.372435 \nL 100.977641 129.716491 \nL 102.326764 130.188961 \nL 103.631757 130.777305 \nL 106.057282 132.247214 \nL 108.171101 134.01597 \nL 109.921536 135.979457 \nL 111.282902 138.047496 \nL 112.248611 140.146695 \nL 112.824397 142.21983 \nL 113.022583 144.223229 \nL 112.857762 146.123315 \nL 112.343957 147.893059 \nL 111.493116 149.508604 \nL 110.314843 150.94629 \nL 108.817197 152.17997 \nL 107.00855 153.178718 \nL 104.900512 153.904918 \nL 102.511984 154.312935 \nL 99.874397 154.34878 \nL 98.477001 154.208243 \nL 97.03806 153.951375 \nL 95.567969 153.570063 \nL 94.079174 153.056429 \nL 92.586361 152.403185 \nL 91.106572 151.60405 \nL 89.659273 150.654265 \nL 88.26629 149.5512 \nL 86.951635 148.294998 \nL 85.741156 146.889285 \nL 84.662004 145.341858 \nL 83.741888 143.665312 \nL 83.008132 141.877529 \nL 82.486554 140.001939 \nL 82.200189 138.067491 \nL 82.167969 136.108222 \nL 82.403427 134.162391 \nL 82.91356 132.271194 \nL 83.697986 130.477057 \nL 84.74847 128.821644 \nL 86.048946 127.343736 \nL 87.576042 126.077167 \nL 89.30009 125.049056 \nL 91.186513 124.27846 \nL 93.197519 123.775665 \nL 95.293875 123.542094 \nL 97.436649 123.570872 \nL 99.588753 123.847893 \nL 101.716197 124.353259 \nL 103.78899 125.062932 \nL 105.781691 125.950373 \nL 107.673607 126.988069 \nL 109.448721 128.14883 \nL 111.095403 129.406813 \nL 112.605968 130.738219 \nL 113.976148 132.121755 \nL 115.204525 133.538821 \nL 116.29198 134.973544 \nL 118.056 137.845253 \nL 119.302384 140.65785 \nL 120.073926 143.361982 \nL 120.413284 145.929366 \nL 120.357435 148.345313 \nL 119.934588 150.602808 \nL 119.162874 152.697939 \nL 118.050239 154.626337 \nL 116.595193 156.380213 \nL 114.788247 157.945592 \nL 112.614073 159.299508 \nL 110.054616 160.406882 \nL 107.093585 161.217036 \nL 105.459415 161.489636 \nL 103.722944 161.659982 \nL 101.885971 161.715752 \nL 99.952157 161.643075 \nL 97.927512 161.426546 \nL 95.820939 161.049321 \nL 93.644844 160.493344 \nL 91.415767 159.739725 \nL 89.155022 158.769327 \nL 86.889283 157.563581 \nL 84.651082 156.105624 \nL 82.479084 154.381723 \nL 80.418071 152.383053 \nL 78.518477 150.107723 \nL 76.835382 147.563016 \nL 75.426818 144.7676 \nL 74.351352 141.75349 \nL 73.664937 138.567415 \nL 73.417187 135.271158 \nL 73.647348 131.940557 \nL 74.380363 128.662821 \nL 75.623577 125.532169 \nL 77.364602 122.643972 \nL 79.5708 120.087948 \nL 82.190629 117.941296 \nL 85.156799 116.26268 \nL 88.390863 115.088018 \nL 91.808669 114.428655 \nL 95.325896 114.27213 \nL 98.863028 114.585282 \nL 102.349237 115.318993 \nL 105.724919 116.413749 \nL 108.942879 117.805199 \nL 111.968336 119.428994 \nL 114.778076 121.224568 \nL 117.359031 123.137655 \nL 119.706592 125.121667 \nL 121.822888 127.138118 \nL 123.715149 129.156322 \nL 125.394273 131.1527 \nL 126.873602 133.109818 \nL 129.292695 136.861184 \nL 131.095232 140.356531 \nL 132.398834 143.583014 \nL 133.307 146.550431 \nL 133.905574 149.279561 \nL 134.262411 151.79529 \nL 134.428771 154.122836 \nL 134.39824 157.312386 \nL 134.093852 160.200681 \nL 133.543088 162.844598 \nL 132.736382 165.290014 \nL 132.037288 166.828575 \nL 131.187051 168.304505 \nL 130.159668 169.725248 \nL 128.922238 171.096377 \nL 127.434099 172.420901 \nL 125.645791 173.698045 \nL 123.497943 174.92125 \nL 120.92031 176.074997 \nL 117.831374 177.129945 \nL 114.139246 178.035619 \nL 109.745191 178.709727 \nL 107.254131 178.921923 \nL 104.552037 179.0231 \nL 101.629773 178.986505 \nL 98.481129 178.77972 \nL 95.104235 178.363884 \nL 91.503365 177.693009 \nL 87.691186 176.713506 \nL 83.691518 175.364151 \nL 79.542538 173.576768 \nL 75.300386 171.277992 \nL 71.042887 168.392642 \nL 66.872928 164.84917 \nL 62.920826 160.587759 \nL 59.344584 155.571262 \nL 56.326774 149.798808 \nL 54.066644 143.320921 \nL 52.766397 136.253809 \nL 52.61147 128.789156 \nL 53.746286 121.194744 \nL 56.249141 113.801547 \nL 60.111606 106.975047 \nL 65.228691 101.072936 \nL 71.40426 96.396385 \nL 78.372426 93.146296 \nL 85.830754 91.396037 \nL 93.477386 91.088019 \nL 101.043402 92.054037 \nL 108.314161 94.0521 \nL 115.137689 96.80882 \nL 121.421949 100.057025 \nL 127.125152 103.562262 \nL 132.243318 107.136538 \nL 136.798233 110.641196 \nL 140.827476 113.98257 \nL 147.496037 119.97657 \nL 152.637824 124.952544 \nL 163.387894 135.640642 \nL 165.383666 137.288831 \nL 167.194438 138.48756 \nL 168.91547 139.29648 \nL 170.611654 139.759124 \nL 172.322117 139.907644 \nL 174.063529 139.767293 \nL 175.832329 139.360644 \nL 177.606215 138.711676 \nL 179.345333 137.84966 \nL 180.993791 136.812642 \nL 182.482181 135.650114 \nL 183.731778 134.424202 \nL 184.660888 133.208628 \nL 185.193429 132.084801 \nL 185.269104 131.13492 \nL 185.123652 130.748865 \nL 184.853682 130.432747 \nL 184.460355 130.192842 \nL 183.947265 130.033758 \nL 182.588253 129.967173 \nL 180.851436 130.232166 \nL 178.840101 130.799674 \nL 176.673779 131.619304 \nL 174.474464 132.629139 \nL 171.35413 134.362908 \nL 169.521597 135.584012 \nL 167.960268 136.805979 \nL 166.708348 137.995948 \nL 165.786168 139.128597 \nL 165.20067 140.183373 \nL 164.949772 141.141969 \nL 165.026037 141.986444 \nL 165.419316 142.698026 \nL 166.118353 143.256508 \nL 167.111334 143.640151 \nL 168.385491 143.82598 \nL 169.925778 143.790521 \nL 171.712734 143.511007 \nL 173.71955 142.967286 \nL 175.908476 142.144548 \nL 178.226818 141.037074 \nL 180.602983 139.653031 \nL 182.943408 138.02004 \nL 185.131563 136.190781 \nL 187.030615 134.247145 \nL 188.491409 132.300805 \nL 189.010884 131.368481 \nL 189.366835 130.487768 \nL 189.544531 129.67728 \nL 189.532114 128.955051 \nL 189.321329 128.337745 \nL 188.908148 127.839853 \nL 188.293249 127.472941 \nL 187.482295 127.245011 \nL 186.485952 127.16005 \nL 185.319635 127.217843 \nL 182.559218 127.740441 \nL 179.394509 128.736108 \nL 176.0431 130.089997 \nL 172.714732 131.676017 \nL 169.586283 133.380374 \nL 166.788393 135.1152 \nL 164.403646 136.821464 \nL 162.472923 138.464122 \nL 161.005745 140.024071 \nL 159.991233 141.490253 \nL 159.407624 142.85368 \nL 159.229547 144.103743 \nL 159.432997 145.226305 \nL 159.998263 146.202991 \nL 160.911244 147.011056 \nL 162.163478 147.623493 \nL 163.75111 148.009188 \nL 165.672873 148.133202 \nL 167.927059 147.957304 \nL 170.507285 147.441175 \nL 173.39685 146.544751 \nL 176.561481 145.232344 \nL 179.940502 143.479383 \nL 183.436935 141.282314 \nL 186.907984 138.671858 \nL 190.158705 135.728397 \nL 191.626345 134.174084 \nL 192.943344 132.596089 \nL 194.073445 131.023463 \nL 194.980036 129.489196 \nL 195.627662 128.029348 \nL 195.98381 126.681722 \nL 196.020897 125.484142 \nL 195.718285 124.472319 \nL 195.064184 123.67755 \nL 194.05719 123.124424 \nL 192.707249 122.828797 \nL 191.035879 122.79637 \nL 189.075515 123.022124 \nL 186.868017 123.490635 \nL 184.462432 124.177445 \nL 181.912257 125.051188 \nL 176.59683 127.215692 \nL 171.331711 129.697738 \nL 166.441539 132.259435 \nL 162.136544 134.747119 \nL 158.517917 137.089016 \nL 155.60277 139.271121 \nL 153.354038 141.309166 \nL 151.706507 143.227136 \nL 150.585838 145.044977 \nL 149.920775 146.77365 \nL 149.650047 148.414649 \nL 149.725611 149.961496 \nL 150.11362 151.401607 \nL 150.794118 152.717778 \nL 151.760101 153.888963 \nL 153.016331 154.890322 \nL 154.578074 155.692618 \nL 156.469741 156.261086 \nL 158.723267 156.553935 \nL 161.37591 156.52064 \nL 164.466914 156.100369 \nL 168.032285 155.221042 \nL 172.096622 153.800003 \nL 176.66065 151.747903 \nL 179.119427 150.457627 \nL 181.68312 148.978222 \nL 184.335961 147.302352 \nL 187.056138 145.425847 \nL 189.81475 143.349042 \nL 192.574822 141.078325 \nL 195.290444 138.627909 \nL 197.906217 136.021675 \nL 200.357194 133.294977 \nL 202.569522 130.496104 \nL 204.462071 127.687073 \nL 205.949281 124.943329 \nL 206.945332 122.351901 \nL 207.369726 120.007584 \nL 207.15397 118.007013 \nL 206.248824 116.440758 \nL 204.631223 115.384114 \nL 202.309719 114.887919 \nL 199.327205 114.970968 \nL 195.760035 115.615853 \nL 191.71314 116.769515 \nL 187.311651 118.348864 \nL 182.690263 120.250653 \nL 173.309114 124.580889 \nL 160.420995 131.031012 \nL 150.235274 136.323624 \nL 145.056284 139.163784 \nL 141.004404 141.608378 \nL 137.874821 143.803038 \nL 135.459114 145.858645 \nL 133.568095 147.844743 \nL 132.040107 149.796911 \nL 130.14347 152.684781 \nL 127.230457 157.348048 \nL 125.938513 159.13008 \nL 124.485143 160.84654 \nL 122.816414 162.48402 \nL 120.878654 164.026167 \nL 118.616695 165.451067 \nL 115.973176 166.727677 \nL 112.889311 167.811002 \nL 109.307812 168.635851 \nL 107.314391 168.92355 \nL 105.179086 169.108985 \nL 102.898712 169.174617 \nL 100.472318 169.1 \nL 97.901953 168.861535 \nL 95.193597 168.432319 \nL 92.358262 167.78215 \nL 89.413263 166.877765 \nL 86.383617 165.683407 \nL 83.30353 164.161886 \nL 80.217843 162.276257 \nL 77.183282 159.992262 \nL 74.269241 157.281652 \nL 71.557785 154.126465 \nL 69.142518 150.524099 \nL 67.125837 146.492936 \nL 65.614324 142.077824 \nL 64.712066 137.354529 \nL 64.512169 132.431929 \nL 65.087094 127.450626 \nL 66.479091 122.576944 \nL 68.692326 117.99192 \nL 71.688449 113.876002 \nL 75.38698 110.391405 \nL 79.670999 107.665106 \nL 84.397479 105.775777 \nL 89.410518 104.747199 \nL 94.555134 104.54943 \nL 99.689268 105.106971 \nL 104.692411 106.311795 \nL 109.470197 108.038213 \nL 113.955274 110.156878 \nL 118.105331 112.545892 \nL 121.899446 115.098173 \nL 125.333735 117.725138 \nL 128.41706 120.357409 \nL 131.167229 122.943494 \nL 133.607872 125.447315 \nL 137.670212 130.123701 \nL 140.831589 134.299787 \nL 143.311696 137.973468 \nL 146.979614 143.966077 \nL 149.182464 147.452214 \nL 150.601605 149.364702 \nL 152.081504 150.974564 \nL 153.693185 152.292244 \nL 155.498859 153.316938 \nL 157.554929 154.036389 \nL 159.913769 154.426583 \nL 162.624006 154.451382 \nL 165.728936 154.062379 \nL 169.262432 153.199522 \nL 173.241589 151.793481 \nL 177.655106 149.771283 \nL 180.009449 148.507909 \nL 182.446562 147.067456 \nL 184.948735 145.446093 \nL 187.492475 143.643464 \nL 190.047699 141.663898 \nL 192.577028 139.517779 \nL 195.035271 137.223012 \nL 197.369264 134.806472 \nL 199.518219 132.305253 \nL 201.414741 129.767509 \nL 202.98676 127.252559 \nL 204.160437 124.829943 \nL 204.864165 122.577113 \nL 205.033536 120.575548 \nL 204.616946 118.905278 \nL 203.581328 117.638161 \nL 201.917215 116.830597 \nL 199.642265 116.516748 \nL 196.80239 116.703545 \nL 193.469986 117.368652 \nL 189.739181 118.462117 \nL 185.718655 119.911693 \nL 181.523095 121.630983 \nL 173.045189 125.518698 \nL 165.052212 129.489538 \nL 154.926802 134.795431 \nL 149.626445 137.75622 \nL 145.421666 140.330951 \nL 142.159811 142.635515 \nL 139.66298 144.773485 \nL 137.758454 146.818056 \nL 136.29301 148.812047 \nL 135.137607 150.775123 \nL 133.761059 153.670019 \nL 130.959611 160.103141 \nL 129.52105 162.675503 \nL 128.378994 164.319346 \nL 127.04255 165.902886 \nL 125.466814 167.421779 \nL 123.601627 168.868506 \nL 121.390254 170.229879 \nL 118.76865 171.483517 \nL 115.665696 172.592877 \nL 112.005163 173.500275 \nL 109.941712 173.852139 \nL 107.710664 174.117322 \nL 105.30407 174.277918 \nL 102.715636 174.312383 \nL 99.941521 174.195028 \nL 96.98139 173.895524 \nL 93.839701 173.378514 \nL 90.527302 172.603385 \nL 87.063327 171.52434 \nL 83.477378 170.090969 \nL 79.811915 168.249517 \nL 76.12472 165.945157 \nL 72.491129 163.125529 \nL 69.005643 159.745873 \nL 65.782323 155.775877 \nL 62.953249 151.208138 \nL 60.664215 146.067736 \nL 59.067009 140.421719 \nL 58.307976 134.386692 \nL 58.513329 128.131971 \nL 59.772704 121.875747 \nL 62.123641 115.87225 \nL 65.540325 110.389694 \nL 69.929949 105.681387 \nL 75.138682 101.954921 \nL 80.966956 99.346088 \nL 87.191269 97.903678 \nL 93.58793 97.588567 \nL 99.953952 98.286701 \nL 106.121586 99.831799 \nL 111.965215 102.03177 \nL 117.401378 104.693052 \nL 122.383972 107.63901 \nL 126.897002 110.720892 \nL 130.94684 113.822052 \nL 134.555201 116.857054 \nL 137.753442 119.767768 \nL 143.068612 125.088847 \nL 147.20147 129.669827 \nL 151.819279 135.214297 \nL 156.266071 140.527802 \nL 158.161064 142.45415 \nL 160.011236 143.961419 \nL 161.911505 145.080104 \nL 163.934186 145.826115 \nL 166.132407 146.202825 \nL 168.54177 146.2035 \nL 171.180082 145.814256 \nL 174.045057 145.018042 \nL 177.110006 143.800114 \nL 180.317869 142.155626 \nL 183.574397 140.099615 \nL 186.742191 137.679182 \nL 189.638381 134.986225 \nL 190.916109 133.581104 \nL 192.039881 132.167356 \nL 192.978352 130.772092 \nL 193.700631 129.425213 \nL 194.177646 128.15852 \nL 194.383682 127.004461 \nL 194.29801 125.99461 \nL 193.906464 125.157888 \nL 193.202848 124.518748 \nL 192.189964 124.095442 \nL 190.880137 123.898634 \nL 189.295127 123.930528 \nL 187.465362 124.184656 \nL 185.428555 124.646396 \nL 183.227769 125.294236 \nL 178.519855 127.038629 \nL 173.70786 129.181302 \nL 169.108843 131.500728 \nL 164.953272 133.832028 \nL 161.376962 136.078423 \nL 158.434294 138.199637 \nL 156.120991 140.190868 \nL 154.397289 142.063029 \nL 153.206874 143.829156 \nL 152.490263 145.497245 \nL 152.19325 147.067754 \nL 152.271565 148.533666 \nL 152.692963 149.881549 \nL 153.437677 151.092644 \nL 154.497927 152.143521 \nL 155.876862 153.006151 \nL 157.58713 153.647449 \nL 159.649067 154.02839 \nL 162.088268 154.102932 \nL 164.932197 153.81704 \nL 168.205206 153.108347 \nL 171.921183 151.907214 \nL 176.072879 150.140515 \nL 180.616985 147.739976 \nL 183.00806 146.285581 \nL 185.454536 144.657444 \nL 187.931516 142.856721 \nL 190.407683 140.889477 \nL 192.844692 138.767976 \nL 195.196808 136.512031 \nL 197.41092 134.150294 \nL 199.427053 131.721283 \nL 201.179619 129.273939 \nL 202.599481 126.867422 \nL 203.61699 124.569843 \nL 204.165971 122.455696 \nL 204.188544 120.601828 \nL 203.640361 119.08202 \nL 202.495805 117.960626 \nL 200.752314 117.285922 \nL 198.433115 117.084249 \nL 195.587617 117.356043 \nL 192.289105 118.074747 \nL 188.629809 119.189121 \nL 184.713966 120.628716 \nL 180.649863 122.311646 \nL 172.484933 126.074027 \nL 164.823505 129.896044 \nL 155.143265 135.020302 \nL 150.08119 137.907201 \nL 146.068413 140.440608 \nL 142.960808 142.725616 \nL 140.591009 144.85575 \nL 138.796572 146.896914 \nL 137.433443 148.887451 \nL 136.380499 150.844704 \nL 135.172657 153.72467 \nL 131.860577 162.64384 \nL 130.545436 165.066568 \nL 129.479923 166.614462 \nL 128.220233 168.10893 \nL 126.723873 169.5489 \nL 124.941784 170.930375 \nL 122.817002 172.2442 \nL 120.283679 173.47285 \nL 117.266826 174.585725 \nL 113.683435 175.53237 \nL 109.44619 176.232818 \nL 107.055811 176.454485 \nL 104.471768 176.564374 \nL 101.686882 176.537679 \nL 98.696857 176.344646 \nL 95.501534 175.949966 \nL 92.106491 175.312274 \nL 88.524991 174.383878 \nL 84.780334 173.110878 \nL 80.908549 171.433914 \nL 76.961352 169.289868 \nL 73.009154 166.614871 \nL 69.143684 163.349029 \nL 65.479729 159.443212 \nL 62.155107 154.868066 \nL 59.327905 149.625009 \nL 57.169939 143.758293 \nL 55.855662 137.366352 \nL 55.546415 130.609622 \nL 56.37109 123.71141 \nL 58.405856 116.948494 \nL 61.656943 110.629699 \nL 66.05109 105.06353 \nL 71.437393 100.519846 \nL 77.601667 97.193587 \nL 84.291002 95.179381 \nL 91.243165 94.463476 \nL 98.214303 94.934465 \nL 104.999533 96.408823 \nL 111.443777 98.663689 \nL 117.443262 101.468741 \nL 122.940193 104.611218 \nL 127.913791 107.91139 \nL 132.370477 111.22889 \nL 136.334967 114.462055 \nL 139.843127 117.543094 \nL 145.659601 123.106628 \nL 150.16691 127.803217 \nL 159.914205 138.405269 \nL 161.883706 140.156285 \nL 163.764606 141.468817 \nL 165.649768 142.383471 \nL 167.605297 142.926044 \nL 169.674072 143.111033 \nL 171.877667 142.94534 \nL 174.216671 142.432414 \nL 176.669608 141.577062 \nL 179.190904 140.391135 \nL 181.708586 138.900082 \nL 184.122952 137.149951 \nL 186.307734 135.213738 \nL 188.11574 133.195216 \nL 189.390711 131.227629 \nL 189.781489 130.310586 \nL 189.986095 129.464624 \nL 189.991718 128.709169 \nL 189.789297 128.062237 \nL 189.374222 127.539563 \nL 188.746875 127.153757 \nL 187.912962 126.913607 \nL 186.883549 126.823571 \nL 185.674819 126.883544 \nL 184.307529 127.08892 \nL 181.198075 127.897533 \nL 177.777526 129.143062 \nL 174.276132 130.692714 \nL 170.90018 132.416163 \nL 167.811163 134.20628 \nL 165.118337 135.98754 \nL 162.88224 137.713865 \nL 161.124627 139.360665 \nL 159.840465 140.915639 \nL 159.009117 142.371171 \nL 158.603281 143.719242 \nL 158.595364 144.948668 \nL 158.961512 146.043932 \nL 159.683734 146.984888 \nL 160.75056 147.746855 \nL 162.15654 148.300729 \nL 163.900775 148.613132 \nL 165.984487 148.64665 \nL 168.407512 148.360426 \nL 171.163499 147.711555 \nL 174.233509 146.657868 \nL 177.57782 145.162868 \nL 181.126015 143.203706 \nL 184.766062 140.782851 \nL 188.334275 137.94338 \nL 190.024605 136.395481 \nL 191.609669 134.786161 \nL 193.053568 133.139454 \nL 194.318193 131.484312 \nL 195.364367 129.854273 \nL 196.153333 128.286754 \nL 196.648591 126.821807 \nL 196.818 125.500397 \nL 196.63603 124.362223 \nL 196.085948 123.44319 \nL 195.161704 122.772826 \nL 193.869306 122.371837 \nL 192.227382 122.250258 \nL 190.266831 122.406412 \nL 188.029489 122.826909 \nL 185.565893 123.487812 \nL 182.93239 124.356781 \nL 177.390699 126.56496 \nL 171.85145 129.137655 \nL 166.67513 131.807499 \nL 162.098495 134.399108 \nL 158.23751 136.830092 \nL 155.113991 139.084928 \nL 152.688765 141.183071 \nL 150.890775 143.154057 \nL 149.638308 145.023165 \nL 148.852532 146.805697 \nL 148.465071 148.506441 \nL 148.421505 150.121474 \nL 148.682368 151.640429 \nL 149.22276 153.048374 \nL 150.031325 154.32688 \nL 151.109009 155.454335 \nL 152.467855 156.405515 \nL 154.129846 157.150608 \nL 156.125727 157.653743 \nL 158.49356 157.871176 \nL 161.276627 157.749295 \nL 164.520058 157.222757 \nL 168.265311 156.213318 \nL 172.541282 154.630435 \nL 174.880606 153.593219 \nL 177.350478 152.375497 \nL 179.943742 150.96543 \nL 182.648622 149.352552 \nL 185.44766 147.528764 \nL 188.316551 145.489583 \nL 191.222966 143.235702 \nL 194.125394 140.774808 \nL 196.972183 138.123651 \nL 199.70093 135.310201 \nL 202.238471 132.375733 \nL 204.501762 129.376456 \nL 206.399938 126.384301 \nL 207.837832 123.486307 \nL 208.721139 120.78206 \nL 208.963179 118.378721 \nL 208.492882 116.38348 \nL 207.26324 114.893752 \nL 205.259051 113.986181 \nL 202.502442 113.706119 \nL 199.05482 114.05973 \nL 195.014211 115.010839 \nL 190.507915 116.483829 \nL 185.681421 118.372491 \nL 180.68545 120.553249 \nL 170.741107 125.297659 \nL 153.693587 133.895062 \nL 144.518688 138.640062 \nL 139.994581 141.160629 \nL 136.491867 143.370562 \nL 133.77833 145.407154 \nL 131.641774 147.358389 \nL 129.90039 149.270519 \nL 127.707887 152.097918 \nL 124.264265 156.652148 \nL 122.720799 158.376142 \nL 120.983927 160.016709 \nL 118.995669 161.55139 \nL 116.700476 162.952121 \nL 114.044448 164.181803 \nL 110.97631 165.189763 \nL 107.45079 165.906131 \nL 105.505578 166.126267 \nL 103.435375 166.235235 \nL 101.239984 166.215928 \nL 98.921762 166.048841 \nL 96.486339 165.711996 \nL 93.943455 165.180985 \nL 91.307909 164.429205 \nL 88.600594 163.428325 \nL 85.849583 162.149118 \nL 83.091172 160.562712 \nL 80.370774 158.642396 \nL 77.743481 156.366006 \nL 75.274109 153.718957 \nL 73.036427 150.697844 \nL 71.111377 147.31439 \nL 69.583964 143.599415 \nL 68.538793 139.606208 \nL 68.054255 135.41257 \nL 68.195756 131.120694 \nL 69.008669 126.854099 \nL 70.511993 122.751241 \nL 72.693835 118.955921 \nL 75.509763 115.60542 \nL 78.884684 112.817946 \nL 82.718242 110.681489 \nL 86.89303 109.246061 \nL 91.284317 108.520706 \nL 95.769736 108.475637 \nL 100.237524 109.04881 \nL 104.592397 110.155328 \nL 108.75871 111.697879 \nL 112.681129 113.5764 \nL 116.323393 115.695824 \nL 119.665861 117.971369 \nL 122.7025 120.331389 \nL 125.437812 122.718171 \nL 127.884013 125.087344 \nL 130.058609 127.406355 \nL 131.982444 129.652579 \nL 135.169093 133.874129 \nL 137.628331 137.699154 \nL 139.533995 141.129384 \nL 141.681879 145.596197 \nL 144.805871 152.514883 \nL 145.797673 154.327362 \nL 146.864784 155.921986 \nL 148.056542 157.305111 \nL 149.419767 158.475388 \nL 151.001352 159.423317 \nL 152.850272 160.130455 \nL 155.018967 160.568196 \nL 157.563902 160.696118 \nL 160.544985 160.459964 \nL 164.023197 159.789511 \nL 168.055468 158.596959 \nL 172.685311 156.777047 \nL 175.230575 155.595049 \nL 177.927203 154.211209 \nL 180.768503 152.610559 \nL 183.742363 150.779466 \nL 186.829906 148.706839 \nL 190.003993 146.385697 \nL 193.227641 143.815158 \nL 196.452459 141.002848 \nL 199.617273 137.967636 \nL 202.64721 134.742614 \nL 205.45352 131.377967 \nL 207.93461 127.943337 \nL 209.978694 124.529003 \nL 211.4685 121.245074 \nL 212.288301 118.217895 \nL 212.333221 115.582876 \nL 211.520268 113.473583 \nL 209.799811 112.007656 \nL 207.165737 111.271261 \nL 203.661969 111.304911 \nL 199.383266 112.094063 \nL 194.469201 113.567518 \nL 189.091629 115.605064 \nL 183.437739 118.05334 \nL 172.02012 123.526902 \nL 148.345031 135.296211 \nL 134.376248 142.109273 \nL 130.840748 144.096577 \nL 128.066487 145.92466 \nL 125.81972 147.679878 \nL 123.02526 150.250686 \nL 118.752384 154.338972 \nL 116.886556 155.841571 \nL 114.821504 157.220954 \nL 112.501268 158.43746 \nL 109.880364 159.443069 \nL 106.924856 160.178216 \nL 103.616058 160.568273 \nL 101.829107 160.605654 \nL 99.95733 160.52042 \nL 98.00629 160.297904 \nL 95.984418 159.922322 \nL 93.903518 159.377005 \nL 91.779307 158.644769 \nL 89.631928 157.708459 \nL 87.486441 156.551723 \nL 85.373178 155.160044 \nL 83.327928 153.52201 \nL 81.391839 151.630883 \nL 79.61094 149.486362 \nL 78.035161 147.096482 \nL 76.7168 144.479488 \nL 75.708357 141.665426 \nL 75.059785 138.697231 \nL 74.815273 135.630904 \nL 75.009782 132.53458 \nL 75.665703 129.486178 \nL 76.790036 126.56968 \nL 78.372551 123.87016 \nL 80.385272 121.468049 \nL 82.78353 119.433289 \nL 85.5085 117.820186 \nL 88.491012 116.663643 \nL 91.656112 115.977365 \nL 94.927813 115.75418 \nL 98.233458 115.968349 \nL 101.507261 116.579331 \nL 104.692757 117.536399 \nL 107.744121 118.783355 \nL 110.626457 120.262822 \nL 113.315291 121.919715 \nL 115.795506 123.703706 \nL 118.059974 125.570713 \nL 120.108084 127.483538 \nL 121.944298 129.411855 \nL 123.576846 131.331751 \nL 125.016577 133.225013 \nL 127.36857 136.882249 \nL 129.107701 140.320447 \nL 130.339593 143.518056 \nL 131.158416 146.477723 \nL 131.642508 149.214788 \nL 131.853263 151.750177 \nL 131.835826 154.106289 \nL 131.620642 156.304753 \nL 131.225222 158.365272 \nL 130.655768 160.305124 \nL 129.908476 162.138949 \nL 128.970422 163.87861 \nL 127.820035 165.532958 \nL 126.427215 167.107349 \nL 124.753154 168.602719 \nL 122.750021 170.014004 \nL 120.360734 171.327652 \nL 117.519177 172.517779 \nL 114.151496 173.540512 \nL 110.179498 174.325893 \nL 107.942912 174.597921 \nL 105.527839 174.766792 \nL 102.927517 174.810966 \nL 100.137569 174.704657 \nL 97.157052 174.417329 \nL 93.989772 173.913251 \nL 90.645895 173.151221 \nL 87.143887 172.0846 \nL 83.512769 170.661808 \nL 79.794584 168.82754 \nL 76.046981 166.524995 \nL 72.345617 163.699411 \nL 68.785928 160.303248 \nL 65.483733 156.303163 \nL 62.573841 151.688762 \nL 60.205859 146.482565 \nL 58.536428 140.750062 \nL 57.717535 134.607933 \nL 57.881326 128.227825 \nL 59.122902 121.832883 \nL 61.483898 115.68488 \nL 64.940359 110.061529 \nL 69.398538 105.226311 \nL 74.700801 101.39605 \nL 80.641435 98.713213 \nL 86.98946 97.229547 \nL 93.513579 96.904899 \nL 100.004144 97.620728 \nL 106.288382 99.204015 \nL 112.237532 101.455091 \nL 117.766706 104.17322 \nL 122.829713 107.175826 \nL 127.411366 110.309849 \nL 131.519321 113.45593 \nL 135.176756 116.527275 \nL 138.416476 119.465411 \nL 143.796943 124.81629 \nL 147.978332 129.399268 \nL 153.907999 136.423508 \nL 157.147754 140.137959 \nL 159.062567 142.01112 \nL 160.928619 143.460798 \nL 162.839736 144.518815 \nL 164.866289 145.202393 \nL 167.058529 145.516542 \nL 169.448171 145.456821 \nL 172.048089 145.012657 \nL 174.850079 144.171663 \nL 177.820844 142.925434 \nL 180.896659 141.277216 \nL 183.977736 139.251618 \nL 186.924062 136.905728 \nL 189.555534 134.339796 \nL 190.687695 133.019258 \nL 191.659929 131.703933 \nL 192.443848 130.419971 \nL 193.012191 129.195545 \nL 193.340107 128.059899 \nL 193.406541 127.042125 \nL 193.195659 126.169728 \nL 192.69814 125.467049 \nL 191.912247 124.953739 \nL 190.844529 124.643391 \nL 189.510026 124.542529 \nL 187.931917 124.650101 \nL 186.140626 124.957595 \nL 184.172412 125.449735 \nL 179.868499 126.900822 \nL 175.355521 128.801364 \nL 170.942857 130.943911 \nL 166.872497 133.159108 \nL 163.302772 135.335027 \nL 160.313572 137.413874 \nL 157.923717 139.376308 \nL 156.111656 141.223547 \nL 154.833961 142.963354 \nL 154.039368 144.601513 \nL 153.678251 146.137953 \nL 153.708294 147.565779 \nL 154.097406 148.871734 \nL 154.824771 150.03699 \nL 155.880706 151.037732 \nL 157.265772 151.845318 \nL 158.989322 152.425984 \nL 161.067506 152.740198 \nL 163.520538 152.741943 \nL 166.368866 152.378226 \nL 169.627668 151.58942 \nL 173.298989 150.311307 \nL 177.360726 148.480045 \nL 181.751884 146.041853 \nL 184.036839 144.584961 \nL 186.35424 142.969357 \nL 188.677049 141.199761 \nL 190.972244 139.286044 \nL 193.200486 137.244331 \nL 195.316062 135.098091 \nL 197.267243 132.879026 \nL 198.997176 130.627639 \nL 200.445457 128.39323 \nL 201.550448 126.233089 \nL 202.25238 124.210718 \nL 202.497164 122.392887 \nL 202.240679 120.845581 \nL 201.453165 119.628998 \nL 200.123151 118.79213 \nL 198.260359 118.367626 \nL 195.896949 118.367743 \nL 193.086689 118.782291 \nL 189.901954 119.579091 \nL 186.428819 120.70709 \nL 182.760845 122.10172 \nL 175.213063 125.405442 \nL 167.924411 128.954677 \nL 161.361677 132.365293 \nL 155.764674 135.452397 \nL 151.188068 138.189007 \nL 147.567181 140.633528 \nL 144.776711 142.869347 \nL 142.671549 144.970375 \nL 141.110775 146.98837 \nL 139.969547 148.952897 \nL 139.143453 150.876518 \nL 138.548599 152.760887 \nL 137.951059 155.50414 \nL 137.47452 158.973411 \nL 136.242847 169.712307 \nL 135.674294 172.023969 \nL 135.087918 173.643952 \nL 134.309818 175.186633 \nL 133.272822 176.671631 \nL 131.886207 178.118948 \nL 130.708542 179.072042 \nL 129.275265 180.02054 \nL 127.52965 180.965837 \nL 125.40284 181.904702 \nL 122.811891 182.82592 \nL 119.658135 183.704954 \nL 115.826577 184.495581 \nL 111.187753 185.11701 \nL 108.522743 185.325003 \nL 105.604684 185.434636 \nL 102.417999 185.416155 \nL 98.949611 185.232502 \nL 95.190587 184.837984 \nL 91.138359 184.176932 \nL 86.799633 183.182484 \nL 82.194099 181.775752 \nL 77.359036 179.865761 \nL 72.354743 177.350757 \nL 67.270616 174.121648 \nL 62.231285 170.068602 \nL 57.401809 165.091876 \nL 52.990279 159.117761 \nL 49.24553 152.119882 \nL 46.44722 144.144578 \nL 44.885771 135.336732 \nL 44.83114 125.959456 \nL 46.492503 116.398534 \nL 49.975412 107.142328 \nL 55.2472 98.732089 \nL 62.12302 91.686689 \nL 70.281029 86.417449 \nL 79.306366 83.156708 \nL 88.753006 81.922745 \nL 98.205977 82.53178 \nL 107.327643 84.650666 \nL 115.879608 87.870642 \nL 123.721484 91.779094 \nL 130.794275 96.012568 \nL 137.097693 100.284936 \nL 142.668414 104.393581 \nL 151.845578 111.669522 \nL 175.292136 131.109391 \nL 175.785624 131.832112 \nL 175.95785 132.438175 \nL 175.883223 132.981 \nL 175.449019 133.747852 \nL 174.316903 135.011077 \nL 173.090615 136.478734 \nL 172.704146 137.320342 \nL 172.724866 137.819782 \nL 173.028324 138.169274 \nL 173.604718 138.340663 \nL 174.423429 138.313188 \nL 175.433757 138.076688 \nL 176.954208 137.446383 \nL 178.469263 136.517936 \nL 179.445723 135.703472 \nL 180.158928 134.875407 \nL 180.509269 134.127152 \nL 180.506041 133.719114 \nL 180.30202 133.41234 \nL 179.899945 133.225415 \nL 179.314325 133.169744 \nL 178.150498 133.337352 \nL 176.756928 133.783849 \nL 175.282664 134.455131 \nL 173.44965 135.572942 \nL 172.33954 136.477521 \nL 171.559597 137.358225 \nL 171.165783 138.151313 \nL 171.131284 138.603491 \nL 171.280949 138.976905 \nL 171.611076 139.257933 \nL 172.113757 139.43429 \nL 173.163875 139.479733 \nL 174.515293 139.239546 \nL 176.084454 138.703525 \nL 177.759765 137.885335 \nL 179.400264 136.830579 \nL 180.8401 135.622852 \nL 181.902376 134.383609 \nL 182.318814 133.612841 \nL 182.45611 132.940305 \nL 182.290383 132.408963 \nL 181.815745 132.053928 \nL 181.046565 131.898504 \nL 180.01741 131.951631 \nL 178.780458 132.207404 \nL 176.679627 132.92634 \nL 174.500086 133.953839 \nL 172.471136 135.168604 \nL 170.777546 136.454906 \nL 169.545947 137.714774 \nL 169.018693 138.500043 \nL 168.739094 139.21771 \nL 168.710029 139.849275 \nL 168.929083 140.377202 \nL 169.38969 140.784533 \nL 170.081725 141.054787 \nL 170.991544 141.172223 \nL 172.101478 141.122452 \nL 173.388838 140.893412 \nL 174.824552 140.476756 \nL 176.371592 139.869641 \nL 177.983439 139.076898 \nL 179.602961 138.113397 \nL 181.162152 137.006343 \nL 182.583306 135.796999 \nL 183.782198 134.541141 \nL 184.673661 133.307467 \nL 185.179519 132.173314 \nL 185.238209 131.21755 \nL 185.087622 130.829364 \nL 184.814617 130.511285 \nL 184.420241 130.269364 \nL 183.907966 130.108025 \nL 182.555554 130.035739 \nL 180.830741 130.293076 \nL 178.835137 130.85107 \nL 176.686516 131.659837 \nL 174.50525 132.658151 \nL 171.409873 134.374781 \nL 169.591371 135.585167 \nL 168.041545 136.797194 \nL 166.798559 137.977997 \nL 165.882896 139.10216 \nL 165.301748 140.149006 \nL 165.053303 141.100121 \nL 165.130349 141.937498 \nL 165.522898 142.642349 \nL 166.219766 143.194513 \nL 167.209113 143.572365 \nL 168.478042 143.753102 \nL 170.011301 143.713492 \nL 171.789155 143.431105 \nL 173.784479 142.886195 \nL 175.959217 142.064441 \nL 178.260454 140.960671 \nL 180.61655 139.583598 \nL 182.934191 137.961309 \nL 185.097523 136.146709 \nL 186.970939 134.221495 \nL 188.407103 132.296572 \nL 188.915357 131.375643 \nL 189.261241 130.506465 \nL 189.430354 129.70736 \nL 189.41116 128.996057 \nL 189.195686 128.388894 \nL 188.780143 127.900059 \nL 188.16538 127.540827 \nL 187.357154 127.318971 \nL 186.366128 127.238313 \nL 185.20763 127.298546 \nL 182.469524 127.820541 \nL 179.333959 128.809187 \nL 176.015504 130.151473 \nL 172.72087 131.72345 \nL 169.624474 133.413139 \nL 166.855346 135.133872 \nL 164.495314 136.827127 \nL 162.585195 138.457873 \nL 161.134905 140.006719 \nL 160.134188 141.46221 \nL 159.561971 142.814979 \nL 159.393528 144.054096 \nL 159.605375 145.165198 \nL 160.178172 146.129744 \nL 161.098013 146.924892 \nL 162.356437 147.523587 \nL 163.949382 147.894747 \nL 165.875141 148.003544 \nL 168.131303 147.812015 \nL 170.71049 147.280317 \nL 173.594686 146.369158 \nL 176.747994 145.044037 \nL 180.107866 143.282068 \nL 183.575389 141.08194 \nL 187.006108 138.477063 \nL 190.204236 135.550658 \nL 191.64113 134.009943 \nL 192.92477 132.44919 \nL 194.01937 130.897484 \nL 194.888983 129.387683 \nL 195.499008 127.955492 \nL 195.81797 126.638151 \nL 195.819459 125.472663 \nL 195.484116 124.493725 \nL 194.80143 123.731459 \nL 193.771203 123.209171 \nL 192.404413 122.941477 \nL 190.72334 122.932979 \nL 188.760842 123.177785 \nL 186.558822 123.659936 \nL 184.165988 124.354812 \nL 179.020368 126.254232 \nL 173.745286 128.596216 \nL 168.704766 131.118824 \nL 164.159356 133.631037 \nL 160.257055 136.026406 \nL 157.050647 138.267242 \nL 154.526019 140.357425 \nL 152.630042 142.317807 \nL 151.292569 144.170043 \nL 150.441456 145.928668 \nL 150.011647 147.598848 \nL 149.94992 149.177118 \nL 150.216799 150.653119 \nL 150.786781 152.011237 \nL 151.647659 153.231681 \nL 152.799438 154.290807 \nL 154.253089 155.160785 \nL 156.029199 155.808678 \nL 158.156419 156.195114 \nL 160.669422 156.272664 \nL 163.605942 155.984275 \nL 167.002187 155.262145 \nL 170.885686 154.027874 \nL 175.264371 152.195243 \nL 177.632706 151.027172 \nL 180.110534 149.67775 \nL 182.685174 148.138625 \nL 185.33859 146.403936 \nL 188.046405 144.471462 \nL 190.776901 142.344023 \nL 193.490113 140.031065 \nL 196.137103 137.550433 \nL 198.659622 134.930139 \nL 200.990323 132.209998 \nL 203.053771 129.442791 \nL 204.768503 126.694638 \nL 206.050317 124.044111 \nL 206.816892 121.579685 \nL 206.993663 119.395243 \nL 206.520581 117.583488 \nL 205.359095 116.227765 \nL 203.498395 115.393021 \nL 200.959739 115.117383 \nL 197.797811 115.405984 \nL 194.098356 116.228618 \nL 189.972103 117.522142 \nL 185.545707 119.19756 \nL 180.951129 121.150601 \nL 171.75111 125.466739 \nL 159.313194 131.731799 \nL 149.599669 136.829255 \nL 144.689657 139.582539 \nL 140.858732 141.976213 \nL 137.904518 144.146565 \nL 135.625464 146.194195 \nL 133.840527 148.180533 \nL 132.395906 150.135861 \nL 130.596548 153.028138 \nL 127.814268 157.693723 \nL 126.574325 159.476885 \nL 125.17657 161.196571 \nL 123.56876 162.841129 \nL 121.698366 164.39638 \nL 119.510738 165.84314 \nL 116.948215 167.15383 \nL 113.95053 168.287893 \nL 110.457136 169.185717 \nL 108.506773 169.520321 \nL 106.412517 169.760855 \nL 104.169826 169.890769 \nL 101.776056 169.89061 \nL 99.231177 169.737718 \nL 96.53865 169.405989 \nL 93.706497 168.865762 \nL 90.748547 168.083883 \nL 87.685864 167.024078 \nL 84.548294 165.647748 \nL 81.376079 163.915335 \nL 78.221357 161.788433 \nL 75.149337 159.232799 \nL 72.238866 156.222369 \nL 69.581969 152.744278 \nL 67.28192 148.804679 \nL 65.449432 144.434872 \nL 64.196654 139.696902 \nL 63.628997 134.687444 \nL 63.835208 129.538526 \nL 64.876789 124.413696 \nL 66.77832 119.498807 \nL 69.520641 114.987521 \nL 73.038668 111.063001 \nL 77.224916 107.878687 \nL 81.938617 105.541687 \nL 87.01899 104.102234 \nL 92.300261 103.551311 \nL 97.625723 103.826529 \nL 102.858702 104.824546 \nL 107.889208 106.416863 \nL 112.636253 108.465769 \nL 117.046652 110.837774 \nL 121.091527 113.413135 \nL 124.761702 116.091176 \nL 128.062957 118.792013 \nL 131.011704 121.455693 \nL 133.631394 124.039761 \nL 135.949688 126.516164 \nL 139.801641 131.087015 \nL 142.806341 135.119847 \nL 146.202162 140.210852 \nL 150.34461 146.535708 \nL 151.850978 148.433197 \nL 153.41561 150.010295 \nL 155.112861 151.278226 \nL 157.006709 152.236315 \nL 159.153694 152.871978 \nL 161.60447 153.160684 \nL 164.403677 153.066056 \nL 167.587696 152.540368 \nL 171.179716 151.526241 \nL 175.181383 149.960493 \nL 179.560288 147.781869 \nL 181.867658 146.447323 \nL 184.232935 144.944724 \nL 186.63428 143.274385 \nL 189.043997 141.440829 \nL 191.427945 139.453961 \nL 193.745141 137.330311 \nL 195.947645 135.094242 \nL 197.980906 132.778983 \nL 199.784677 130.4273 \nL 201.294651 128.091575 \nL 202.444968 125.833001 \nL 203.171566 123.719685 \nL 203.416359 121.82345 \nL 203.131947 120.215344 \nL 202.286478 118.960146 \nL 200.868003 118.110293 \nL 198.887681 117.700156 \nL 196.381104 117.741572 \nL 193.407298 118.221627 \nL 190.04526 119.103341 \nL 186.388396 120.329342 \nL 182.537557 121.828055 \nL 174.651426 125.331926 \nL 167.087728 129.039768 \nL 157.322201 134.174386 \nL 152.128091 137.118653 \nL 147.971965 139.71111 \nL 144.735314 142.042401 \nL 142.265012 144.202749 \nL 140.405362 146.260211 \nL 139.014738 148.256908 \nL 137.972369 150.213651 \nL 137.179453 152.136805 \nL 136.290461 154.953458 \nL 133.72697 164.325657 \nL 132.775195 166.592109 \nL 131.557916 168.745891 \nL 130.550945 170.125251 \nL 129.347181 171.463192 \nL 127.904808 172.761414 \nL 126.17407 174.018799 \nL 124.095854 175.229398 \nL 121.60043 176.379368 \nL 118.606702 177.442343 \nL 115.022606 178.372502 \nL 110.747844 179.0944 \nL 108.319485 179.342109 \nL 105.681021 179.488464 \nL 102.822045 179.508406 \nL 99.734614 179.371391 \nL 96.414543 179.040581 \nL 92.863079 178.472048 \nL 89.089025 177.61417 \nL 85.111368 176.407349 \nL 80.962408 174.784333 \nL 76.691355 172.671501 \nL 72.368188 169.991562 \nL 68.087407 166.668247 \nL 63.971081 162.633505 \nL 60.170162 157.837673 \nL 56.862895 152.262599 \nL 54.248788 145.937011 \nL 52.536835 138.952185 \nL 51.927344 131.474612 \nL 52.588174 123.750995 \nL 54.628283 116.100675 \nL 58.073699 108.891926 \nL 62.852404 102.502441 \nL 68.793884 97.269628 \nL 75.645737 93.44148 \nL 83.104859 91.14075 \nL 90.855889 90.352287 \nL 98.607613 90.936383 \nL 106.119512 92.662721 \nL 113.214819 95.254237 \nL 119.780871 98.429044 \nL 125.760687 101.932325 \nL 131.140337 105.554722 \nL 135.935955 109.138424 \nL 140.182573 112.574406 \nL 147.215029 118.763201 \nL 152.633592 123.90579 \nL 163.841396 134.885415 \nL 165.862261 136.565406 \nL 167.663373 137.788317 \nL 169.344191 138.620195 \nL 170.972837 139.109948 \nL 172.591089 139.294352 \nL 174.218137 139.202619 \nL 175.853316 138.860585 \nL 177.478113 138.294569 \nL 179.057888 137.534897 \nL 180.543839 136.618864 \nL 181.875745 135.592901 \nL 182.986039 134.513341 \nL 183.805509 133.445307 \nL 184.270634 132.459326 \nL 184.33193 131.625631 \nL 184.201574 131.285965 \nL 183.962189 131.006811 \nL 183.614919 130.793529 \nL 182.611387 130.579017 \nL 181.239805 130.655985 \nL 179.576605 131.013582 \nL 177.717686 131.619818 \nL 174.79129 132.891428 \nL 171.996068 134.437952 \nL 169.600606 136.094755 \nL 168.316551 137.195677 \nL 167.320605 138.259075 \nL 166.628885 139.261484 \nL 166.246895 140.182743 \nL 166.172832 141.004213 \nL 166.400259 141.707478 \nL 166.919954 142.273564 \nL 167.720851 142.682664 \nL 168.790123 142.914262 \nL 170.112423 142.947705 \nL 171.668369 142.76319 \nL 173.432341 142.343341 \nL 175.36971 141.675423 \nL 177.433735 140.754305 \nL 179.562481 139.58624 \nL 181.676421 138.193168 \nL 183.677572 136.61705 \nL 185.451357 134.923189 \nL 186.872347 133.201034 \nL 187.814805 131.560716 \nL 188.070846 130.809203 \nL 188.167777 130.123949 \nL 188.097001 129.519531 \nL 187.853081 129.009154 \nL 187.434187 128.60406 \nL 186.842395 128.31298 \nL 186.083835 128.141701 \nL 185.168621 128.092784 \nL 182.926951 128.355798 \nL 180.263898 129.059345 \nL 177.356425 130.122473 \nL 174.386928 131.444896 \nL 171.52066 132.926526 \nL 168.890556 134.481781 \nL 166.591075 136.0461 \nL 164.679671 137.575465 \nL 163.18317 139.041749 \nL 162.106112 140.426694 \nL 161.438974 141.716528 \nL 161.165077 142.898046 \nL 161.265704 143.956217 \nL 161.72346 144.872977 \nL 162.52406 145.626751 \nL 163.65678 146.192415 \nL 165.1138 146.541512 \nL 166.888492 146.642676 \nL 168.972717 146.462466 \nL 171.353002 145.966811 \nL 174.005544 145.123543 \nL 176.889998 143.906453 \nL 179.942239 142.301415 \nL 183.066764 140.314864 \nL 186.130129 137.984402 \nL 188.957838 135.390179 \nL 190.218299 134.033198 \nL 191.338162 132.663984 \nL 192.287546 131.307393 \nL 193.036817 129.991043 \nL 193.55781 128.744539 \nL 193.825222 127.59839 \nL 193.818106 126.582643 \nL 193.521345 125.725309 \nL 192.926997 125.050666 \nL 192.035344 124.577645 \nL 190.855513 124.31845 \nL 189.405547 124.27761 \nL 187.711876 124.451585 \nL 185.808188 124.829083 \nL 183.7338 125.391975 \nL 179.246261 126.976553 \nL 174.598532 128.987423 \nL 170.103434 131.210462 \nL 165.997629 133.478158 \nL 162.429047 135.685381 \nL 159.465767 137.782343 \nL 157.115899 139.756398 \nL 155.349459 141.613245 \nL 154.117069 143.363083 \nL 153.363716 145.01268 \nL 153.037734 146.562153 \nL 153.096006 148.004471 \nL 153.506485 149.326197 \nL 154.248965 150.508404 \nL 155.314765 151.527305 \nL 156.705751 152.354373 \nL 158.432877 152.955941 \nL 160.514254 153.292475 \nL 162.972519 153.317691 \nL 165.831153 152.977852 \nL 169.109136 152.211852 \nL 172.813227 150.952879 \nL 176.926949 149.132991 \nL 181.395624 146.692393 \nL 183.730915 145.226669 \nL 186.107326 143.595588 \nL 188.498369 141.802589 \nL 190.871333 139.856241 \nL 193.186846 137.771437 \nL 195.39871 135.570587 \nL 197.454129 133.28468 \nL 199.294498 130.95402 \nL 200.85686 128.628426 \nL 202.076204 126.366628 \nL 202.888591 124.234616 \nL 203.235108 122.302766 \nL 203.066417 120.641687 \nL 202.347537 119.316987 \nL 201.062271 118.383391 \nL 199.216643 117.878965 \nL 196.840621 117.820431 \nL 193.987649 118.200444 \nL 190.731763 118.987627 \nL 187.162523 120.129558 \nL 183.378412 121.558337 \nL 179.479668 123.197833 \nL 171.70881 126.80816 \nL 164.466585 130.447827 \nL 158.129641 133.808513 \nL 152.846616 136.785602 \nL 148.602178 139.408173 \nL 145.287341 141.761879 \nL 142.753477 143.936617 \nL 140.84624 146.002173 \nL 139.423641 148.00282 \nL 138.363794 149.961144 \nL 137.56662 151.884709 \nL 136.693698 154.701055 \nL 135.649171 159.164166 \nL 134.644166 163.280297 \nL 133.902706 165.577622 \nL 132.97009 167.754801 \nL 131.766805 169.824888 \nL 130.767116 171.152564 \nL 129.569025 172.442699 \nL 128.130369 173.697456 \nL 126.400708 174.916189 \nL 124.319866 176.093435 \nL 121.816593 177.215844 \nL 118.807711 178.257483 \nL 115.198371 179.172769 \nL 110.884652 179.885997 \nL 108.430288 180.131359 \nL 105.760617 180.276322 \nL 102.864535 180.295365 \nL 99.733381 180.157278 \nL 96.362268 179.824294 \nL 92.7518 179.251235 \nL 88.910291 178.38482 \nL 84.856493 177.163313 \nL 80.622893 175.516792 \nL 76.25951 173.368396 \nL 71.837997 170.637078 \nL 67.455684 167.242439 \nL 63.238882 163.112264 \nL 59.344439 158.193223 \nL 55.958173 152.464831 \nL 53.288592 145.95586 \nL 51.554451 138.761178 \nL 50.96539 131.055409 \nL 51.696488 123.098349 \nL 53.859981 115.226733 \nL 57.479664 107.828514 \nL 62.475139 101.300026 \nL 68.662064 95.992396 \nL 75.770969 92.159162 \nL 83.481418 89.918949 \nL 91.463451 89.243771 \nL 99.416005 89.975447 \nL 107.094077 91.86361 \nL 114.321075 94.613204 \nL 120.987755 97.928866 \nL 127.042202 101.547556 \nL 132.475926 105.2565 \nL 137.310037 108.898107 \nL 141.583686 112.365869 \nL 148.647571 118.554936 \nL 156.304746 125.783127 \nL 164.116889 133.27207 \nL 166.254253 135.106491 \nL 168.087679 136.453418 \nL 169.730877 137.39424 \nL 171.263576 137.990198 \nL 172.737393 138.287869 \nL 174.180517 138.324052 \nL 175.601344 138.130053 \nL 176.991356 137.735345 \nL 178.327579 137.170669 \nL 179.57505 136.470517 \nL 181.181661 135.255248 \nL 182.003112 134.404057 \nL 182.566854 133.581416 \nL 182.830512 132.841796 \nL 182.764671 132.236718 \nL 182.358035 131.809784 \nL 181.620942 131.591949 \nL 180.586288 131.598184 \nL 179.307473 131.826335 \nL 177.08521 132.542047 \nL 174.734424 133.607217 \nL 172.510811 134.889673 \nL 170.622736 136.262274 \nL 169.213722 137.618556 \nL 168.582732 138.471163 \nL 168.212891 139.257609 \nL 168.107842 139.958826 \nL 168.265585 140.556773 \nL 168.679918 141.033825 \nL 169.341283 141.372562 \nL 170.236969 141.555896 \nL 171.350688 141.567586 \nL 172.661573 141.393152 \nL 174.142723 141.021196 \nL 175.759379 140.44523 \nL 177.467013 139.665941 \nL 179.209654 138.693858 \nL 180.918941 137.552128 \nL 182.514498 136.278973 \nL 183.906368 134.92908 \nL 185.000104 133.572995 \nL 185.704736 132.293652 \nL 185.943256 131.179453 \nL 185.87034 130.710982 \nL 185.664205 130.314261 \nL 185.324122 129.997149 \nL 184.852065 129.765813 \nL 184.252771 129.624469 \nL 182.704811 129.618021 \nL 180.768596 129.969037 \nL 178.562056 130.638232 \nL 176.21797 131.564798 \nL 173.868232 132.678167 \nL 171.630657 133.909 \nL 169.600493 135.196824 \nL 167.847186 136.493384 \nL 166.415483 137.762328 \nL 165.329347 138.976682 \nL 164.597087 140.115532 \nL 164.216489 141.160943 \nL 164.179206 142.095604 \nL 164.474039 142.901291 \nL 165.08902 143.558068 \nL 166.012362 144.043987 \nL 167.23233 144.335263 \nL 168.736175 144.406796 \nL 170.508111 144.233176 \nL 172.526448 143.790266 \nL 174.759891 143.057632 \nL 177.163173 142.022065 \nL 179.672347 140.682322 \nL 182.200469 139.055104 \nL 184.634728 137.181692 \nL 186.836713 135.134095 \nL 188.64782 133.018552 \nL 189.354597 131.977518 \nL 189.901629 130.973491 \nL 190.270187 130.027096 \nL 190.443911 129.159124 \nL 190.409691 128.389695 \nL 190.158524 127.737315 \nL 189.686246 127.217933 \nL 188.994073 126.84406 \nL 188.088915 126.624027 \nL 186.98335 126.561483 \nL 185.695321 126.655202 \nL 184.247468 126.899219 \nL 180.980685 127.793709 \nL 177.419052 129.126718 \nL 173.802466 130.755976 \nL 170.341574 132.545917 \nL 167.197392 134.38836 \nL 164.475299 136.209661 \nL 162.230294 137.966959 \nL 160.478325 139.638908 \nL 159.209201 141.215793 \nL 158.398189 142.691716 \nL 158.01506 144.05963 \nL 158.030384 145.308768 \nL 158.419398 146.423675 \nL 159.163971 147.384075 \nL 160.253124 148.164984 \nL 161.682436 148.736871 \nL 163.452512 149.065726 \nL 165.566525 149.113211 \nL 168.026678 148.837124 \nL 170.829358 148.192647 \nL 173.958611 147.134979 \nL 177.377689 145.624197 \nL 181.018666 143.633309 \nL 184.77074 141.160258 \nL 188.469063 138.244051 \nL 190.229866 136.647781 \nL 191.887689 134.983404 \nL 193.405194 133.275337 \nL 194.742467 131.553295 \nL 195.85816 129.852043 \nL 196.711037 128.210705 \nL 197.261901 126.671515 \nL 197.475845 125.278028 \nL 197.324671 124.072805 \nL 196.789311 123.09469 \nL 195.861938 122.375968 \nL 194.547538 121.939654 \nL 192.864649 121.797358 \nL 190.845068 121.948042 \nL 188.532489 122.377947 \nL 185.980135 123.061745 \nL 183.247621 123.964885 \nL 177.49146 126.263847 \nL 171.738082 128.9377 \nL 166.368025 131.700598 \nL 161.628269 134.367893 \nL 157.636379 136.856235 \nL 154.41016 139.154103 \nL 151.90378 141.286531 \nL 150.0389 143.288177 \nL 148.727021 145.188221 \nL 147.883436 147.004644 \nL 147.434862 148.744053 \nL 147.322798 150.403903 \nL 147.50433 151.975114 \nL 147.95155 153.444214 \nL 148.650376 154.794619 \nL 149.599218 156.007094 \nL 150.807756 157.05945 \nL 152.295879 157.925689 \nL 154.092753 158.574603 \nL 156.235822 158.968007 \nL 158.769478 159.058616 \nL 161.742881 158.787804 \nL 165.206235 158.083533 \nL 169.204451 156.859182 \nL 173.766757 155.014578 \nL 176.260436 153.825881 \nL 178.890421 152.441499 \nL 181.647423 150.848856 \nL 184.516659 149.037235 \nL 187.476598 146.999001 \nL 190.497647 144.731147 \nL 193.540797 142.237181 \nL 196.556392 139.529324 \nL 199.483154 136.630937 \nL 202.24775 133.578999 \nL 204.76517 130.426308 \nL 206.940274 127.24299 \nL 208.670875 124.116739 \nL 209.852644 121.151094 \nL 210.38592 118.461147 \nL 210.184226 116.166265 \nL 209.183821 114.379878 \nL 207.353082 113.197196 \nL 204.700092 112.682522 \nL 201.276666 112.858596 \nL 197.177352 113.700652 \nL 192.532843 115.137169 \nL 187.498475 117.05796 \nL 182.239734 119.328278 \nL 171.674997 124.357753 \nL 143.57259 138.45047 \nL 138.722119 141.000365 \nL 134.965326 143.192632 \nL 132.048914 145.186179 \nL 129.742252 147.082822 \nL 127.848451 148.936036 \nL 125.435075 151.671586 \nL 122.386657 155.201308 \nL 120.73036 156.875739 \nL 118.89043 158.458525 \nL 116.806149 159.921087 \nL 114.422654 161.228521 \nL 111.690429 162.336267 \nL 108.566866 163.185825 \nL 106.847892 163.490462 \nL 105.020547 163.699733 \nL 103.083935 163.80013 \nL 101.039078 163.77635 \nL 98.889426 163.611213 \nL 96.641456 163.285663 \nL 94.305347 162.778891 \nL 91.895742 162.068595 \nL 89.432546 161.131488 \nL 86.941732 159.94406 \nL 84.456093 158.4837 \nL 82.015809 156.730226 \nL 79.668755 154.667825 \nL 77.470326 152.287475 \nL 75.482673 149.589693 \nL 73.773099 146.587485 \nL 72.411532 143.309207 \nL 71.467001 139.800898 \nL 71.003161 136.127576 \nL 71.07322 132.372933 \nL 71.714672 128.636927 \nL 72.94457 125.031024 \nL 74.756072 121.671236 \nL 77.116987 118.669449 \nL 79.970791 116.124274 \nL 83.240156 114.112586 \nL 86.832632 112.683272 \nL 90.647634 111.854143 \nL 94.583753 111.612398 \nL 98.545346 111.918425 \nL 102.447691 112.712006 \nL 106.220278 113.919728 \nL 109.808251 115.462368 \nL 113.172271 117.261328 \nL 116.287224 119.243489 \nL 119.140261 121.344343 \nL 121.728541 123.50954 \nL 124.056991 125.695167 \nL 126.136256 127.867143 \nL 127.980945 130.000101 \nL 129.608178 132.076021 \nL 132.284691 136.013223 \nL 134.315761 139.632054 \nL 135.842404 142.929501 \nL 136.987915 145.92457 \nL 138.210989 149.912307 \nL 139.308185 154.439634 \nL 140.595512 159.915989 \nL 141.305858 162.174743 \nL 142.166135 164.14976 \nL 142.860595 165.312361 \nL 143.68088 166.349313 \nL 144.655746 167.254414 \nL 145.818722 168.017089 \nL 147.209369 168.621407 \nL 148.874549 169.044674 \nL 150.869639 169.255473 \nL 153.259552 169.211041 \nL 156.119251 168.853879 \nL 159.533181 168.107529 \nL 163.592619 166.871759 \nL 168.389262 165.017793 \nL 171.089833 163.810142 \nL 174.002366 162.385437 \nL 177.131023 160.719163 \nL 180.475458 158.785798 \nL 184.029141 156.55974 \nL 187.777294 154.016744 \nL 191.69444 151.13598 \nL 195.741573 147.902893 \nL 199.863052 144.312958 \nL 203.98343 140.376442 \nL 208.004553 136.124041 \nL 211.803509 131.613156 \nL 215.232195 126.934078 \nL 218.119548 122.214914 \nL 220.27761 117.623576 \nL 221.512507 113.364526 \nL 221.640918 109.668002 \nL 220.511606 106.769968 \nL 218.029697 104.883094 \nL 214.179521 104.162046 \nL 209.040038 104.670174 \nL 202.786892 106.357324 \nL 195.677588 109.05792 \nL 188.021132 112.51328 \nL 180.138745 116.413941 \nL 157.800197 127.940024 \nL 151.364085 131.086584 \nL 145.55909 133.754196 \nL 140.386565 135.954491 \nL 135.818164 137.733199 \nL 128.301431 140.280621 \nL 122.572533 141.903973 \nL 108.962065 145.458686 \nL 104.706269 146.648864 \nL 102.337122 147.018314 \nL 100.761124 147.057067 \nL 99.184803 146.896714 \nL 97.625766 146.514279 \nL 96.117353 145.89423 \nL 94.706419 145.031355 \nL 93.450329 143.933981 \nL 92.412719 142.62709 \nL 91.657781 141.154618 \nL 91.243206 139.579984 \nL 91.212411 137.98388 \nL 91.587231 136.458824 \nL 92.362566 135.10057 \nL 92.890893 134.512241 \nL 93.504381 133.997659 \nL 94.951798 133.221032 \nL 96.623141 132.816038 \nL 98.424666 132.798547 \nL 100.260179 133.15585 \nL 102.039638 133.851523 \nL 103.685434 134.832734 \nL 105.135801 136.038031 \nL 106.345541 137.404106 \nL 107.284732 138.870711 \nL 107.936245 140.38347 \nL 108.292813 141.894935 \nL 108.354237 143.364271 \nL 108.125099 144.756152 \nL 107.613171 146.039209 \nL 106.828598 147.184357 \nL 105.783897 148.16324 \nL 104.494703 148.946904 \nL 102.981244 149.504901 \nL 101.270463 149.804964 \nL 99.398634 149.813556 \nL 97.414237 149.497517 \nL 95.380663 148.827191 \nL 93.378075 147.781301 \nL 91.503546 146.353569 \nL 90.648658 145.500594 \nL 89.868303 144.560653 \nL 89.177504 143.540732 \nL 88.591113 142.450169 \nL 88.123345 141.300747 \nL 87.787286 140.106688 \nL 87.594374 138.884526 \nL 87.553867 137.652857 \nL 87.672349 136.431917 \nL 87.9533 135.243032 \nL 88.39678 134.107963 \nL 88.999237 133.048124 \nL 89.753489 132.083804 \nL 90.648865 131.233368 \nL 91.671528 130.512546 \nL 92.804946 129.93385 \nL 94.030472 129.506155 \nL 95.328021 129.234489 \nL 96.676764 129.120031 \nL 98.055817 129.160297 \nL 99.444869 129.349517 \nL 100.824726 129.679127 \nL 102.177738 130.138342 \nL 103.488108 130.714762 \nL 104.742083 131.394976 \nL 107.036421 133.011253 \nL 108.992265 134.8784 \nL 110.570413 136.897933 \nL 111.754618 138.987106 \nL 112.544602 141.080002 \nL 112.949673 143.125852 \nL 112.983619 145.085942 \nL 112.661046 146.930045 \nL 111.995163 148.632935 \nL 110.996849 150.171178 \nL 109.674872 151.520297 \nL 108.037169 152.652262 \nL 106.093164 153.533354 \nL 103.857201 154.122486 \nL 101.353119 154.370269 \nL 98.620009 154.219284 \nL 97.185598 153.974627 \nL 95.718936 153.6064 \nL 94.232251 153.1067 \nL 92.739985 152.468167 \nL 91.258934 151.68441 \nL 89.808302 150.750504 \nL 88.40967 149.663579 \nL 87.086822 148.423476 \nL 85.865421 147.033443 \nL 84.772489 145.500831 \nL 83.835692 143.837712 \nL 83.082416 142.061412 \nL 82.538657 140.194781 \nL 82.227764 138.266197 \nL 82.169124 136.309175 \nL 82.376852 134.361569 \nL 82.858645 132.464301 \nL 83.614893 130.659712 \nL 84.638175 128.989592 \nL 85.913223 127.49308 \nL 87.417396 126.204558 \nL 89.121635 125.151873 \nL 90.991829 124.35493 \nL 92.990473 123.824905 \nL 95.07844 123.564125 \nL 97.216732 123.566534 \nL 99.368042 123.818728 \nL 101.498043 124.301349 \nL 103.576336 124.990747 \nL 105.577012 125.860588 \nL 107.478902 126.883433 \nL 109.265528 128.032038 \nL 110.924829 129.280402 \nL 112.448736 130.60452 \nL 113.832651 131.98284 \nL 115.074882 133.396497 \nL 116.176092 134.829349 \nL 117.966692 137.700938 \nL 119.2378 140.516827 \nL 120.031935 143.226347 \nL 120.391861 145.800298 \nL 120.354883 148.223413 \nL 119.949669 150.488364 \nL 119.194851 152.591136 \nL 118.098872 154.527415 \nL 116.660698 156.28961 \nL 114.871218 157.864074 \nL 112.71537 159.228321 \nL 110.175203 160.347909 \nL 107.234286 161.172987 \nL 105.610345 161.454372 \nL 103.884089 161.634572 \nL 102.057178 161.70142 \nL 100.133087 161.641199 \nL 98.117593 161.438651 \nL 96.019313 161.077084 \nL 93.850305 160.538561 \nL 91.626693 159.804274 \nL 89.369319 158.855099 \nL 87.104326 157.672408 \nL 84.863667 156.239154 \nL 82.685406 154.541283 \nL 80.613724 152.569459 \nL 78.698522 150.321089 \nL 76.994448 147.802525 \nL 75.559279 145.031295 \nL 74.451576 142.038095 \nL 73.727608 138.868214 \nL 73.437671 135.582002 \nL 73.622079 132.253989 \nL 74.307213 128.970376 \nL 75.502148 125.824832 \nL 77.196384 122.912758 \nL 79.359186 120.324579 \nL 81.940732 118.13882 \nL 84.875119 116.416005 \nL 88.084827 115.194257 \nL 91.486111 114.487213 \nL 94.994552 114.284588 \nL 98.530095 114.555038 \nL 102.021047 115.250804 \nL 105.40674 116.313204 \nL 108.63883 117.678217 \nL 111.681419 119.281415 \nL 114.51026 121.061818 \nL 117.11139 122.964556 \nL 119.479462 124.942337 \nL 121.616017 126.955938 \nL 123.527846 128.973991 \nL 125.22553 130.97229 \nL 126.722196 132.932866 \nL 129.171865 136.694065 \nL 130.99937 140.201118 \nL 132.322667 143.439642 \nL 133.245905 146.418605 \nL 133.855672 149.158393 \nL 134.220552 151.68376 \nL 134.392449 154.019933 \nL 134.366664 157.220713 \nL 134.063907 160.11851 \nL 133.512514 162.770563 \nL 132.703396 165.223037 \nL 132.001807 166.765805 \nL 131.148377 168.245574 \nL 130.117076 169.669799 \nL 128.874947 171.044032 \nL 127.381254 172.371223 \nL 125.586449 173.650498 \nL 123.431067 174.875133 \nL 120.844791 176.02936 \nL 117.74607 177.083471 \nL 114.043079 177.986462 \nL 109.637324 178.655295 \nL 107.140255 178.86358 \nL 104.432188 178.9598 \nL 101.504138 178.917033 \nL 98.3501 178.702677 \nL 94.96847 178.277683 \nL 91.363862 177.595874 \nL 87.54937 176.603498 \nL 83.549335 175.239224 \nL 79.402553 173.434853 \nL 75.165885 171.11715 \nL 70.917929 168.211265 \nL 66.762384 164.646293 \nL 62.830307 160.363417 \nL 59.280257 155.326935 \nL 56.295024 149.537877 \nL 54.073538 143.049056 \nL 52.81697 135.979179 \nL 52.708897 128.52229 \nL 53.891071 120.947914 \nL 56.438501 113.587627 \nL 60.339289 106.805943 \nL 65.485355 100.957854 \nL 71.678406 96.340354 \nL 78.651754 93.149368 \nL 86.103584 91.45341 \nL 93.733849 91.191024 \nL 101.276155 92.191729 \nL 108.518577 94.212985 \nL 115.3116 96.982298 \nL 121.565139 100.234344 \nL 127.238783 103.736919 \nL 132.329399 107.304226 \nL 136.859212 110.799504 \nL 140.865958 114.130537 \nL 147.497154 120.104662 \nL 152.610751 125.064776 \nL 163.315489 135.729733 \nL 165.309521 137.376521 \nL 167.122399 138.574454 \nL 168.849028 139.382461 \nL 170.554051 139.843454 \nL 172.276407 139.989036 \nL 174.032578 139.843949 \nL 175.818771 139.430332 \nL 177.612315 138.771811 \nL 179.37279 137.897444 \nL 181.043472 136.845297 \nL 182.553809 135.665179 \nL 183.82361 134.419905 \nL 184.769475 133.184293 \nL 185.313543 132.04122 \nL 185.393887 131.074564 \nL 185.247808 130.681562 \nL 184.975116 130.359707 \nL 184.576944 130.115418 \nL 184.056916 129.953407 \nL 182.678185 129.885511 \nL 180.915108 130.155049 \nL 178.873056 130.7321 \nL 176.673964 131.564901 \nL 174.442162 132.590042 \nL 171.277672 134.347938 \nL 169.420474 135.584629 \nL 167.838895 136.821295 \nL 166.57113 138.024993 \nL 165.637197 139.1705 \nL 165.043585 140.237423 \nL 164.787741 141.207601 \nL 164.861813 142.063182 \nL 165.255365 142.785404 \nL 165.957006 143.353981 \nL 166.954943 143.747004 \nL 168.236589 143.941214 \nL 169.78723 143.912747 \nL 171.587851 143.638314 \nL 173.612157 143.097105 \nL 175.822912 142.273514 \nL 178.167826 141.160927 \nL 180.575453 139.766598 \nL 182.951905 138.117357 \nL 185.179662 136.26544 \nL 187.120019 134.292933 \nL 188.620975 132.31264 \nL 189.158963 131.3621 \nL 189.531692 130.462847 \nL 189.723899 129.633946 \nL 189.723206 128.893933 \nL 189.520876 128.259992 \nL 189.112475 127.747126 \nL 188.498384 127.367364 \nL 187.684085 127.129102 \nL 186.680219 127.036614 \nL 185.502324 127.08985 \nL 184.170336 127.284468 \nL 181.140974 128.061451 \nL 177.806135 129.266323 \nL 174.388198 130.771973 \nL 171.087464 132.452752 \nL 168.061968 134.204327 \nL 165.4199 135.952059 \nL 163.222539 137.649395 \nL 161.493433 139.270573 \nL 160.229772 140.801968 \nL 159.413107 142.234797 \nL 159.018032 143.560173 \nL 159.018428 144.766315 \nL 159.391436 145.837342 \nL 160.119599 146.752915 \nL 161.191517 147.488275 \nL 162.601348 148.014374 \nL 164.347324 148.298071 \nL 166.429282 148.302429 \nL 168.845116 147.987445 \nL 171.58592 147.31162 \nL 174.629595 146.234931 \nL 177.932735 144.723986 \nL 181.420998 142.760136 \nL 184.97877 140.351083 \nL 188.440068 137.545726 \nL 190.067687 136.02498 \nL 191.584352 134.450255 \nL 192.954927 132.845862 \nL 194.14245 131.240725 \nL 195.1093 129.667967 \nL 195.818688 128.16412 \nL 196.236459 126.767848 \nL 196.33312 125.518216 \nL 196.08595 124.452561 \nL 195.481026 123.604093 \nL 194.514893 122.999478 \nL 193.195704 122.656665 \nL 191.5436 122.583272 \nL 189.59018 122.775803 \nL 187.377093 123.21985 \nL 184.953816 123.891352 \nL 182.374859 124.758701 \nL 176.974884 126.933521 \nL 171.601968 129.447332 \nL 166.595738 132.050171 \nL 162.178031 134.579041 \nL 158.456986 136.957187 \nL 155.45247 139.169428 \nL 153.127205 141.232625 \nL 151.414032 143.172836 \nL 150.235861 145.012104 \nL 149.518475 146.763167 \nL 149.197749 148.428897 \nL 149.223036 150.003891 \nL 149.558173 151.476495 \nL 150.181164 152.830438 \nL 151.083222 154.045745 \nL 152.26757 155.098865 \nL 153.748214 155.962167 \nL 155.548675 156.602835 \nL 157.700564 156.981397 \nL 160.241704 157.049937 \nL 163.213316 156.750312 \nL 166.655571 156.012792 \nL 170.600503 154.755907 \nL 175.060971 152.888896 \nL 177.479389 151.697336 \nL 180.014193 150.319006 \nL 182.653159 148.744504 \nL 185.378551 146.966868 \nL 188.16605 144.982756 \nL 190.983656 142.793937 \nL 193.790667 140.408977 \nL 196.536843 137.845163 \nL 199.161929 135.130463 \nL 201.59576 132.305372 \nL 203.759215 129.424302 \nL 205.566265 126.55616 \nL 206.927377 123.783588 \nL 207.754398 121.200418 \nL 207.966835 118.906938 \nL 207.499223 117.002869 \nL 206.308799 115.578412 \nL 204.382466 114.704265 \nL 201.741707 114.42221 \nL 198.444228 114.738111 \nL 194.581492 115.61916 \nL 190.272054 116.99647 \nL 185.651566 118.772983 \nL 180.861052 120.835245 \nL 171.294269 125.360089 \nL 158.433562 131.835746 \nL 145.79807 138.43914 \nL 141.359061 140.982099 \nL 137.921419 143.225318 \nL 135.266286 145.297627 \nL 133.191034 147.283481 \nL 131.520678 149.228546 \nL 129.463571 152.104546 \nL 125.685731 157.651679 \nL 124.245418 159.396265 \nL 122.612545 161.064364 \nL 120.731651 162.63831 \nL 118.547624 164.095678 \nL 116.004635 165.405991 \nL 113.046506 166.526342 \nL 109.619136 167.395707 \nL 107.714396 167.71054 \nL 105.67591 167.927906 \nL 103.500622 168.031762 \nL 101.187493 168.003471 \nL 98.738173 167.821574 \nL 96.157825 167.461666 \nL 93.45609 166.896382 \nL 90.648199 166.095583 \nL 87.756214 165.02685 \nL 84.810334 163.656349 \nL 81.850194 161.950236 \nL 78.926004 159.876716 \nL 76.099341 157.408821 \nL 73.443298 154.528048 \nL 71.04171 151.228688 \nL 68.987083 147.522697 \nL 67.376919 143.444622 \nL 66.30829 139.055817 \nL 65.870733 134.447007 \nL 66.137929 129.738097 \nL 67.15908 125.074197 \nL 68.951287 120.61737 \nL 71.494394 116.534352 \nL 74.729649 112.981574 \nL 78.562875 110.089695 \nL 82.872029 107.950451 \nL 87.517988 106.608293 \nL 92.356719 106.058416 \nL 97.250816 106.251268 \nL 102.078687 107.102192 \nL 106.740449 108.503951 \nL 111.160384 110.339596 \nL 115.286522 112.493683 \nL 119.088183 114.860513 \nL 122.552454 117.349186 \nL 125.680345 119.885669 \nL 128.483137 122.412669 \nL 130.979236 124.888062 \nL 133.191595 127.282583 \nL 136.868212 131.761278 \nL 139.723818 135.780709 \nL 141.959368 139.342361 \nL 144.530941 143.900339 \nL 147.220813 148.728085 \nL 148.485094 150.683838 \nL 149.802808 152.364606 \nL 151.239576 153.781215 \nL 152.854025 154.934513 \nL 154.700925 155.814993 \nL 156.833375 156.402251 \nL 159.303874 156.664141 \nL 162.163969 156.555826 \nL 165.462006 156.018976 \nL 169.238181 154.981758 \nL 173.515861 153.360766 \nL 175.842197 152.303431 \nL 178.287794 151.066819 \nL 180.84365 149.640915 \nL 183.495944 148.017446 \nL 186.225027 146.190911 \nL 189.004383 144.15985 \nL 191.799564 141.928367 \nL 194.567248 139.507882 \nL 197.25454 136.919043 \nL 199.798695 134.193597 \nL 202.127484 131.37609 \nL 204.160485 128.524982 \nL 205.811534 125.712795 \nL 206.992542 123.024819 \nL 207.618751 120.555916 \nL 207.615282 118.405158 \nL 206.924507 116.668268 \nL 205.51342 115.42847 \nL 203.379897 114.746784 \nL 200.556546 114.653437 \nL 197.111074 115.142247 \nL 193.142528 116.169533 \nL 188.773654 117.658374 \nL 184.140442 119.507632 \nL 179.380619 121.604138 \nL 169.978909 126.101376 \nL 157.502003 132.411222 \nL 147.916908 137.420129 \nL 143.115083 140.104052 \nL 139.381145 142.439952 \nL 136.500303 144.567256 \nL 134.265495 146.584057 \nL 132.493964 148.547617 \nL 131.031964 150.484251 \nL 128.555754 154.291118 \nL 126.73096 157.057043 \nL 125.396125 158.836071 \nL 123.897236 160.547612 \nL 122.179025 162.176714 \nL 120.187004 163.705132 \nL 117.865774 165.10861 \nL 115.158511 166.353145 \nL 112.00806 167.390037 \nL 108.360364 168.149516 \nL 106.335615 168.395768 \nL 104.171407 168.532948 \nL 101.86578 168.542779 \nL 99.419287 168.404105 \nL 96.835801 168.092711 \nL 94.123466 167.581251 \nL 91.295829 166.839354 \nL 88.37309 165.834008 \nL 85.383477 164.530325 \nL 82.364627 162.892796 \nL 79.364874 160.887217 \nL 76.444234 158.48337 \nL 73.67483 155.658555 \nL 71.140438 152.401972 \nL 68.934754 148.719742 \nL 67.15807 144.640177 \nL 65.912091 140.218588 \nL 65.292897 135.540651 \nL 65.382424 130.723153 \nL 66.239319 125.910979 \nL 67.890416 121.269587 \nL 70.324484 116.972988 \nL 73.489685 113.188383 \nL 77.295806 110.059596 \nL 81.621262 107.692244 \nL 86.323937 106.143542 \nL 91.253962 105.418637 \nL 96.266242 105.474075 \nL 101.230793 106.227148 \nL 106.039634 107.568838 \nL 110.610006 109.377654 \nL 114.884328 111.53196 \nL 118.827849 113.919351 \nL 122.424997 116.442504 \nL 125.6753 119.021797 \nL 128.589471 121.595443 \nL 131.185991 124.117921 \nL 133.488333 126.557584 \nL 137.316917 131.115153 \nL 140.293756 135.194378 \nL 142.627882 138.796341 \nL 146.079461 144.714787 \nL 148.153959 148.195956 \nL 149.492069 150.1256 \nL 150.889505 151.767878 \nL 152.414295 153.133086 \nL 154.12679 154.220921 \nL 156.082725 155.020174 \nL 158.335206 155.508224 \nL 160.935398 155.65041 \nL 163.931562 155.399374 \nL 167.365887 154.694869 \nL 171.26829 153.464826 \nL 175.646131 151.629017 \nL 178.005763 150.458582 \nL 180.468635 149.107503 \nL 183.021385 147.568475 \nL 185.64524 145.83682 \nL 188.31506 143.91164 \nL 190.998416 141.797189 \nL 193.654759 139.504447 \nL 196.234815 137.052803 \nL 198.680356 134.471735 \nL 200.924581 131.802275 \nL 202.893263 129.097986 \nL 204.50696 126.425086 \nL 205.684394 123.861322 \nL 206.347092 121.493209 \nL 206.425165 119.411383 \nL 205.863817 117.70407 \nL 204.629922 116.449135 \nL 202.7177 115.705556 \nL 200.152437 115.505705 \nL 196.991256 115.849997 \nL 193.320363 116.705283 \nL 189.248838 118.007779 \nL 184.899789 119.670244 \nL 180.40025 121.592166 \nL 171.420853 125.812439 \nL 159.316391 131.924899 \nL 149.87282 136.925773 \nL 145.099749 139.649474 \nL 141.377012 142.032789 \nL 138.509644 144.203975 \nL 136.303392 146.257648 \nL 134.583634 148.251572 \nL 133.201982 150.214184 \nL 131.502626 153.115758 \nL 128.379898 158.700139 \nL 127.184961 160.46473 \nL 125.825352 162.166251 \nL 124.251552 163.795243 \nL 122.412471 165.339776 \nL 120.253722 166.783023 \nL 117.716724 168.09992 \nL 114.738952 169.252611 \nL 111.255988 170.18432 \nL 109.305533 170.542455 \nL 107.206413 170.811317 \nL 104.952949 170.974583 \nL 102.541173 171.012913 \nL 99.969528 170.90359 \nL 97.239763 170.620212 \nL 94.358011 170.132481 \nL 91.336077 169.406155 \nL 88.192944 168.403287 \nL 84.956446 167.082872 \nL 81.66506 165.402058 \nL 78.36965 163.318129 \nL 75.134986 160.79144 \nL 72.040693 157.789471 \nL 69.181234 154.292056 \nL 66.664413 150.297639 \nL 64.607896 145.830144 \nL 63.133319 140.945644 \nL 62.357852 135.737528 \nL 62.383569 130.338582 \nL 63.285618 124.918309 \nL 65.100876 119.674192 \nL 67.819322 114.816729 \nL 71.380269 110.549541 \nL 75.674972 107.047531 \nL 80.555796 104.437175 \nL 85.850529 102.783106 \nL 91.379211 102.083862 \nL 96.970294 102.277272 \nL 102.473442 103.253784 \nL 107.767493 104.874152 \nL 112.763364 106.987687 \nL 117.402822 109.447762 \nL 121.654552 112.122882 \nL 125.508941 114.90289 \nL 128.972696 117.700941 \nL 132.063994 120.452476 \nL 134.808473 123.112387 \nL 139.379014 128.052719 \nL 142.939807 132.416296 \nL 145.738771 136.202805 \nL 152.41494 145.619729 \nL 154.040693 147.41336 \nL 155.734728 148.865376 \nL 157.572439 149.986156 \nL 159.617007 150.773477 \nL 161.921915 151.212923 \nL 164.531793 151.278469 \nL 167.481279 150.933465 \nL 170.791443 150.132568 \nL 174.463303 148.825455 \nL 178.467923 146.963573 \nL 182.733001 144.511474 \nL 184.924786 143.060753 \nL 187.126627 141.464277 \nL 189.310013 139.730186 \nL 191.44088 137.871865 \nL 193.479522 135.908859 \nL 195.380817 133.867699 \nL 197.094897 131.782453 \nL 198.568319 129.694872 \nL 199.745886 127.653919 \nL 200.573102 125.714531 \nL 200.999243 123.935458 \nL 200.980913 122.376167 \nL 200.485796 121.092897 \nL 199.496215 120.134183 \nL 198.012042 119.53635 \nL 196.052409 119.319653 \nL 193.655873 119.485683 \nL 190.87876 120.016707 \nL 187.791796 120.877125 \nL 184.475358 122.016989 \nL 181.013999 123.37707 \nL 173.983313 126.508774 \nL 167.271339 129.819766 \nL 161.267731 132.998224 \nL 156.166958 135.899188 \nL 152.007796 138.504562 \nL 148.729311 140.863153 \nL 146.219956 143.042443 \nL 144.351917 145.101418 \nL 143.001616 147.080651 \nL 142.060125 149.002362 \nL 141.437174 150.874687 \nL 141.061461 152.696648 \nL 140.879077 154.462326 \nL 140.886505 156.987815 \nL 141.164125 159.341492 \nL 141.679796 161.499114 \nL 142.438394 163.438882 \nL 143.095544 164.599904 \nL 143.893693 165.645915 \nL 144.856461 166.566663 \nL 146.013822 167.348728 \nL 147.402806 167.974212 \nL 149.068368 168.419101 \nL 151.064304 168.651139 \nL 153.454046 168.627127 \nL 156.310972 168.289494 \nL 159.717667 167.562138 \nL 163.763107 166.345722 \nL 168.536097 164.513157 \nL 171.220137 163.317798 \nL 174.112347 161.90706 \nL 177.216355 160.257028 \nL 180.531273 158.342894 \nL 184.050052 156.139905 \nL 187.757454 153.624788 \nL 191.627665 150.777788 \nL 195.621554 147.585485 \nL 199.68368 144.044467 \nL 203.739266 140.16594 \nL 207.691457 135.9812 \nL 211.419444 131.547617 \nL 214.77819 126.9545 \nL 217.600767 122.327695 \nL 219.704396 117.831237 \nL 220.90119 113.663949 \nL 221.014136 110.048823 \nL 219.897771 107.213618 \nL 217.461416 105.363024 \nL 213.690866 104.645585 \nL 208.662923 105.122174 \nL 202.547233 106.745059 \nL 195.592166 109.356152 \nL 188.095974 112.708035 \nL 180.369472 116.503932 \nL 158.404427 127.805311 \nL 152.053796 130.920845 \nL 146.316703 133.578035 \nL 141.197298 135.78493 \nL 136.670118 137.583396 \nL 129.209945 140.196411 \nL 123.514603 141.904601 \nL 111.947389 145.200948 \nL 104.654851 147.541629 \nL 102.975432 147.833687 \nL 101.272136 147.941565 \nL 99.544352 147.832359 \nL 97.810623 147.477298 \nL 96.107215 146.854388 \nL 94.486475 145.951797 \nL 93.014284 144.771959 \nL 91.765962 143.335924 \nL 90.820127 141.687176 \nL 90.250465 139.893584 \nL 90.126004 138.970125 \nL 90.116047 138.046139 \nL 90.224089 137.135704 \nL 90.451581 136.253387 \nL 90.797762 135.413844 \nL 91.259583 134.631376 \nL 91.831708 133.919477 \nL 92.506608 133.29038 \nL 93.274747 132.754675 \nL 94.124858 132.320971 \nL 95.044269 131.995656 \nL 96.019281 131.782756 \nL 97.035577 131.683909 \nL 99.134031 131.823514 \nL 101.227244 132.384803 \nL 103.215008 133.31265 \nL 105.015522 134.536812 \nL 106.567762 135.981739 \nL 107.830664 137.57417 \nL 108.780252 139.247911 \nL 109.405806 140.945924 \nL 109.705963 142.620411 \nL 109.685319 144.231577 \nL 109.351869 145.745705 \nL 108.715381 147.132982 \nL 107.786714 148.36534 \nL 106.578092 149.414496 \nL 105.104252 150.250344 \nL 103.384421 150.839775 \nL 101.445109 151.146187 \nL 99.323534 151.129934 \nL 97.071509 150.750169 \nL 94.759228 149.968521 \nL 92.47819 148.755098 \nL 91.384077 147.981509 \nL 90.342018 147.097047 \nL 89.369211 146.104516 \nL 88.483601 145.009152 \nL 87.703482 143.818963 \nL 87.047011 142.54497 \nL 86.531611 141.201375 \nL 86.173311 139.805567 \nL 85.986034 138.377972 \nL 85.980896 136.941705 \nL 86.165531 135.521993 \nL 86.543536 134.145427 \nL 87.114055 132.839022 \nL 87.871565 131.62916 \nL 88.805917 130.540493 \nL 89.902584 129.594888 \nL 91.143167 128.81048 \nL 92.506117 128.200963 \nL 93.967563 127.775109 \nL 95.502264 127.536628 \nL 97.084541 127.484293 \nL 98.689182 127.612357 \nL 100.292208 127.911177 \nL 101.871512 128.367968 \nL 103.407323 128.967656 \nL 104.88249 129.693693 \nL 106.28261 130.528853 \nL 107.596022 131.455886 \nL 109.928925 133.51968 \nL 111.836037 135.764329 \nL 113.301641 138.090658 \nL 114.330035 140.422313 \nL 114.937022 142.703212 \nL 115.143157 144.893277 \nL 114.968946 146.96373 \nL 114.431837 148.892686 \nL 113.544744 150.661283 \nL 112.315839 152.250321 \nL 110.749442 153.637285 \nL 108.847951 154.79369 \nL 106.614882 155.682642 \nL 104.059165 156.256757 \nL 101.200931 156.456764 \nL 99.669517 156.394644 \nL 98.07893 156.211438 \nL 96.438395 155.896765 \nL 94.759467 155.439999 \nL 93.056351 154.830612 \nL 91.346159 154.058592 \nL 89.649137 153.11502 \nL 87.988767 151.992751 \nL 86.391761 150.68723 \nL 84.887851 149.197425 \nL 83.509345 147.526815 \nL 82.290425 145.684407 \nL 81.266132 143.685657 \nL 80.471048 141.553209 \nL 79.937688 139.317288 \nL 79.69471 137.015656 \nL 79.765026 134.692945 \nL 80.163981 132.399335 \nL 80.897824 130.188585 \nL 81.962626 128.115426 \nL 83.343843 126.232623 \nL 85.016615 124.587872 \nL 86.946827 123.220937 \nL 89.092857 122.161336 \nL 91.407823 121.426859 \nL 93.842101 121.02304 \nL 96.345865 120.943661 \nL 98.871366 121.17211 \nL 101.374838 121.683376 \nL 103.817842 122.446441 \nL 106.168089 123.426697 \nL 108.399741 124.588212 \nL 110.493285 125.895623 \nL 112.435087 127.315617 \nL 114.216742 128.817919 \nL 115.834307 130.375874 \nL 117.287493 131.966659 \nL 118.578899 133.571241 \nL 119.713284 135.174137 \nL 121.537111 138.32853 \nL 122.818383 141.362624 \nL 123.61959 144.241103 \nL 123.997838 146.949495 \nL 124.000082 149.485757 \nL 123.660902 151.854241 \nL 123.00191 154.061475 \nL 122.0321 156.11314 \nL 120.74872 158.011731 \nL 119.138445 159.754432 \nL 117.178829 161.330866 \nL 114.840204 162.720373 \nL 112.088381 163.888583 \nL 108.888751 164.783039 \nL 107.111584 165.104979 \nL 105.212666 165.327889 \nL 103.190958 165.437666 \nL 101.047271 165.418034 \nL 98.784871 165.250425 \nL 96.410171 164.913948 \nL 93.933538 164.385459 \nL 91.370195 163.639838 \nL 88.741189 162.65048 \nL 86.074397 161.39013 \nL 83.405467 159.832116 \nL 80.778598 157.952088 \nL 78.247006 155.730296 \nL 75.872865 153.154438 \nL 73.726513 150.222989 \nL 71.884657 146.948838 \nL 70.427444 143.362848 \nL 69.434232 139.516849 \nL 68.978208 135.485352 \nL 69.120155 131.365272 \nL 69.902039 127.272975 \nL 71.341241 123.338321 \nL 73.426497 119.695869 \nL 76.11641 116.474072 \nL 79.341154 113.783901 \nL 83.007317 111.708672 \nL 87.005319 110.29692 \nL 91.218239 109.559505 \nL 95.530681 109.471296 \nL 99.836428 109.976896 \nL 104.044029 110.999012 \nL 108.079942 112.447892 \nL 111.88943 114.230203 \nL 115.435655 116.256319 \nL 118.697582 118.445412 \nL 121.667308 120.728352 \nL 124.347241 123.048759 \nL 126.74748 125.362638 \nL 128.883502 127.63717 \nL 130.774286 129.84904 \nL 133.904901 134.028563 \nL 136.312598 137.840707 \nL 138.162803 141.280535 \nL 139.601792 144.370172 \nL 141.717911 149.630216 \nL 143.401223 153.872824 \nL 144.682627 156.498793 \nL 145.635294 158.009668 \nL 146.715348 159.334119 \nL 147.963685 160.469396 \nL 149.422929 161.405711 \nL 151.139242 162.125382 \nL 153.163696 162.60153 \nL 155.553097 162.796265 \nL 158.369963 162.658364 \nL 161.681147 162.120551 \nL 165.554206 161.096802 \nL 170.050143 159.480546 \nL 172.545941 158.411426 \nL 175.210484 157.145577 \nL 178.042432 155.665278 \nL 181.035962 153.953012 \nL 184.179435 151.992432 \nL 187.453843 149.76968 \nL 190.831059 147.275151 \nL 194.271942 144.505763 \nL 197.724435 141.467769 \nL 201.121818 138.180006 \nL 204.381427 134.677511 \nL 207.404249 131.01512 \nL 210.075855 127.270513 \nL 212.269315 123.545941 \nL 213.850595 119.967575 \nL 214.686885 116.681371 \nL 214.657786 113.844496 \nL 213.668752 111.611874 \nL 211.665165 110.118695 \nL 208.644686 109.460987 \nL 204.664872 109.678165 \nL 199.843388 110.742006 \nL 194.349444 112.556065 \nL 188.387174 114.967113 \nL 182.174032 117.786658 \nL 169.80276 123.879566 \nL 153.513415 132.02149 \nL 144.911161 136.083073 \nL 127.055237 144.278335 \nL 124.215871 145.909211 \nL 121.887029 147.467784 \nL 118.928473 149.732816 \nL 115.241661 152.569232 \nL 113.282117 153.845239 \nL 111.151298 154.974606 \nL 108.800689 155.910428 \nL 106.197994 156.598155 \nL 103.328691 156.973854 \nL 100.199981 156.96293 \nL 98.548069 156.786263 \nL 96.847187 156.480374 \nL 95.107529 156.033549 \nL 93.342167 155.434114 \nL 91.567323 154.670829 \nL 89.802606 153.733463 \nL 88.07116 152.613462 \nL 86.399669 151.304792 \nL 84.818192 149.804911 \nL 83.359761 148.115799 \nL 82.059693 146.245078 \nL 80.954581 144.207032 \nL 80.080946 142.023474 \nL 79.473574 139.724281 \nL 79.163626 137.347471 \nL 79.176586 134.938651 \nL 79.530284 132.549746 \nL 80.233141 130.236998 \nL 81.28291 128.058287 \nL 82.666046 126.069956 \nL 84.35791 124.323479 \nL 86.323787 122.862286 \nL 88.520667 121.719127 \nL 90.899623 120.914348 \nL 93.408512 120.455164 \nL 95.994729 120.33608 \nL 98.607713 120.540299 \nL 101.201027 121.041851 \nL 103.733867 121.808122 \nL 106.171975 122.80254 \nL 108.487981 123.987018 \nL 110.661278 125.324059 \nL 112.677551 126.778353 \nL 114.528063 128.317865 \nL 116.208833 129.914458 \nL 117.719764 131.544137 \nL 119.063815 133.186972 \nL 120.246222 134.826839 \nL 122.154496 138.049813 \nL 123.508779 141.14436 \nL 124.376323 144.075437 \nL 124.818596 146.82981 \nL 124.886365 149.407177 \nL 124.617462 151.813886 \nL 124.036234 154.058667 \nL 123.153932 156.149663 \nL 121.96959 158.092194 \nL 120.471133 159.886843 \nL 118.636648 161.527449 \nL 116.435945 162.99869 \nL 113.83269 164.272934 \nL 110.787634 165.30616 \nL 109.087577 165.712887 \nL 107.263745 166.032722 \nL 105.313185 166.253056 \nL 103.234329 166.359122 \nL 101.027516 166.333811 \nL 98.695625 166.157523 \nL 96.244825 165.808101 \nL 93.685438 165.260894 \nL 91.032926 164.488999 \nL 88.308948 163.463776 \nL 85.542478 162.155712 \nL 82.770859 160.535719 \nL 80.040699 158.577017 \nL 77.408427 156.257592 \nL 74.940293 153.563343 \nL 72.711532 150.491752 \nL 70.804458 147.055941 \nL 69.305214 143.288682 \nL 68.299127 139.245762 \nL 67.864711 135.007915 \nL 68.066716 130.680499 \nL 68.948998 126.390126 \nL 70.528174 122.277853 \nL 72.789243 118.489179 \nL 75.684222 115.16183 \nL 79.134393 112.413031 \nL 83.036117 110.3284 \nL 87.269403 108.954468 \nL 91.707862 108.296138 \nL 96.228482 108.319395 \nL 100.719793 108.958359 \nL 105.08754 110.125108 \nL 109.257585 111.720255 \nL 113.176347 113.642653 \nL 116.809339 115.796998 \nL 120.138584 118.09892 \nL 123.159508 120.477589 \nL 125.877834 122.876355 \nL 128.306752 125.251952 \nL 130.464533 127.572895 \nL 132.372585 129.817511 \nL 135.532285 134.028338 \nL 137.972159 137.836421 \nL 139.866754 141.246432 \nL 142.013662 145.679925 \nL 145.189605 152.52482 \nL 146.2146 154.309301 \nL 147.323346 155.872953 \nL 148.565811 157.221011 \nL 149.989648 158.35076 \nL 151.642719 159.251 \nL 153.575013 159.901198 \nL 155.839873 160.270213 \nL 158.494293 160.3146 \nL 161.597916 159.976608 \nL 165.209996 159.182247 \nL 169.383267 157.840146 \nL 174.153104 155.842692 \nL 176.763887 154.561455 \nL 179.519919 153.072046 \nL 182.411426 151.360583 \nL 185.422542 149.415196 \nL 188.529918 147.227401 \nL 191.7012 144.793872 \nL 194.893507 142.11861 \nL 198.052005 139.215487 \nL 201.108818 136.111046 \nL 203.982539 132.847354 \nL 206.578734 129.48453 \nL 208.791825 126.102419 \nL 210.508807 122.800672 \nL 211.61512 119.696473 \nL 212.002767 116.919082 \nL 211.580372 114.600838 \nL 210.28426 112.864728 \nL 208.089053 111.809774 \nL 205.015711 111.496458 \nL 201.134925 111.935263 \nL 196.56426 113.081577 \nL 191.458735 114.839037 \nL 185.996086 117.071473 \nL 180.359431 119.621154 \nL 169.22738 125.053691 \nL 150.524102 134.383627 \nL 135.880525 141.57278 \nL 132.163088 143.639994 \nL 129.261649 145.521671 \nL 126.936813 147.316341 \nL 124.988071 149.071533 \nL 118.127781 155.706222 \nL 116.155602 157.164138 \nL 113.941485 158.477982 \nL 111.43512 159.604428 \nL 108.596001 160.489663 \nL 105.396064 161.065643 \nL 103.656729 161.211567 \nL 101.825285 161.24632 \nL 99.904794 161.155856 \nL 97.9008 160.924794 \nL 95.82183 160.536505 \nL 93.67994 159.973344 \nL 91.491297 159.217024 \nL 89.276758 158.249201 \nL 87.062394 157.05227 \nL 84.879916 155.610471 \nL 82.766885 153.911261 \nL 80.766641 151.946995 \nL 78.927806 149.71685 \nL 77.303256 147.228907 \nL 75.948463 144.502207 \nL 74.919156 141.568517 \nL 74.268327 138.473515 \nL 74.042721 135.277028 \nL 74.279052 132.051959 \nL 75.000359 128.881715 \nL 76.212981 125.856035 \nL 77.904596 123.065499 \nL 80.043807 120.595209 \nL 82.581413 118.518377 \nL 85.453361 116.890793 \nL 88.585028 115.746891 \nL 91.896276 115.098056 \nL 95.306634 114.933272 \nL 98.73995 115.221962 \nL 102.12807 115.918316 \nL 105.413282 116.966467 \nL 108.549508 118.305608 \nL 111.502413 119.874594 \nL 114.248664 121.615505 \nL 116.774664 123.476119 \nL 119.074998 125.411271 \nL 121.150824 127.383365 \nL 123.008327 129.362178 \nL 124.657351 131.324243 \nL 126.110219 133.252009 \nL 128.483544 136.958374 \nL 130.244358 140.424423 \nL 131.504745 143.634143 \nL 132.363706 146.594575 \nL 132.903332 149.324326 \nL 133.18818 151.846669 \nL 133.266376 154.185684 \nL 133.171485 156.364226 \nL 132.924553 158.402995 \nL 132.535948 160.320247 \nL 132.006846 162.131777 \nL 131.330284 163.851057 \nL 130.491771 165.489343 \nL 129.469485 167.055646 \nL 128.23411 168.556478 \nL 126.748361 169.995228 \nL 124.966308 171.371021 \nL 122.832617 172.676799 \nL 120.281973 173.896305 \nL 117.239086 174.999475 \nL 113.620026 175.93562 \nL 109.336148 176.623588 \nL 106.917882 176.837566 \nL 104.302687 176.938219 \nL 101.483272 176.900149 \nL 98.455317 176.692852 \nL 95.218761 176.280101 \nL 91.779458 175.619423 \nL 88.151208 174.66182 \nL 84.358177 173.351907 \nL 80.437705 171.628707 \nL 76.44336 169.427439 \nL 72.44802 166.682682 \nL 68.546607 163.333347 \nL 64.857781 159.329802 \nL 61.523811 154.643304 \nL 58.707537 149.277496 \nL 56.585338 143.280899 \nL 55.335344 136.758532 \nL 55.120833 129.879662 \nL 56.070045 122.878006 \nL 58.255285 116.04109 \nL 61.67561 109.68698 \nL 66.247892 104.129942 \nL 71.809989 99.640537 \nL 78.136854 96.408724 \nL 84.966818 94.51916 \nL 92.03218 93.945021 \nL 99.087278 94.561157 \nL 105.928637 96.171956 \nL 112.404841 98.54569 \nL 118.416924 101.446948 \nL 123.912082 104.66136 \nL 128.874076 108.010204 \nL 133.313083 111.355775 \nL 137.256721 114.599825 \nL 140.742966 117.678073 \nL 146.517698 123.207442 \nL 150.990463 127.847423 \nL 160.677092 138.206961 \nL 162.63847 139.890111 \nL 164.510455 141.137553 \nL 166.382942 141.990603 \nL 168.318851 142.476056 \nL 170.357626 142.609924 \nL 172.517137 142.40132 \nL 174.794104 141.85674 \nL 177.163258 140.984907 \nL 179.575758 139.802344 \nL 181.957626 138.339577 \nL 184.209401 136.647365 \nL 186.208466 134.801886 \nL 187.815803 132.907011 \nL 188.888424 131.091377 \nL 189.182859 130.257917 \nL 189.297691 129.498259 \nL 189.222744 128.829684 \nL 188.951532 128.267837 \nL 188.481823 127.825982 \nL 187.816041 127.514326 \nL 186.961436 127.339447 \nL 185.930035 127.303965 \nL 184.738304 127.406432 \nL 181.958295 128.000255 \nL 178.815515 129.03991 \nL 175.522427 130.41137 \nL 172.279737 131.993347 \nL 169.25387 133.67863 \nL 166.565808 135.38564 \nL 164.29061 137.059984 \nL 162.464202 138.669296 \nL 161.09352 140.195441 \nL 160.166935 141.627196 \nL 159.663169 142.954805 \nL 159.558047 144.166661 \nL 159.829019 145.247649 \nL 160.457798 146.178489 \nL 161.431422 146.935673 \nL 162.742103 147.491554 \nL 164.38602 147.81456 \nL 166.361119 147.869522 \nL 168.663878 147.618418 \nL 171.28481 147.021805 \nL 174.202599 146.041566 \nL 177.376622 144.645558 \nL 180.738102 142.814913 \nL 184.180538 140.554481 \nL 187.551152 137.906261 \nL 190.646466 134.964133 \nL 192.014236 133.429518 \nL 193.216642 131.885969 \nL 194.218243 130.363649 \nL 194.984001 128.896106 \nL 195.48087 127.519212 \nL 195.679609 126.2697 \nL 195.556719 125.183317 \nL 195.096326 124.292689 \nL 194.291842 123.625111 \nL 193.147182 123.200474 \nL 191.677353 123.029581 \nL 189.908272 123.113184 \nL 187.87575 123.441803 \nL 185.623719 123.996544 \nL 183.201863 124.750722 \nL 178.059692 126.725784 \nL 172.858626 129.090602 \nL 167.941457 131.597687 \nL 163.545701 134.073582 \nL 159.800117 136.426203 \nL 156.744352 138.626427 \nL 154.357116 140.68138 \nL 152.582729 142.611688 \nL 151.351545 144.437096 \nL 150.593696 146.16979 \nL 150.247243 147.812808 \nL 150.26235 149.360941 \nL 150.602863 150.802452 \nL 151.246368 152.120555 \nL 152.183445 153.294305 \nL 153.416556 154.298796 \nL 154.958759 155.104667 \nL 156.832285 155.677121 \nL 159.066828 155.974518 \nL 161.697211 155.946822 \nL 164.759957 155.534181 \nL 168.287966 154.666189 \nL 172.302325 153.262797 \nL 176.799998 151.238418 \nL 179.218301 149.967317 \nL 181.736124 148.511605 \nL 184.337418 146.864756 \nL 187.000238 145.023444 \nL 189.695775 142.988815 \nL 192.387447 140.76798 \nL 195.030121 138.375676 \nL 197.569662 135.836 \nL 199.942943 133.184043 \nL 202.078576 130.467202 \nL 203.898551 127.745796 \nL 205.321017 125.09268 \nL 206.264345 122.591315 \nL 206.652423 120.332088 \nL 206.420965 118.40661 \nL 205.524277 116.900304 \nL 203.941656 115.883827 \nL 201.682343 115.404589 \nL 198.787944 115.479853 \nL 195.331498 116.093022 \nL 191.412872 117.194207 \nL 187.150954 118.705486 \nL 182.673784 120.529989 \nL 173.570863 124.703819 \nL 164.957651 128.972619 \nL 154.050074 134.602881 \nL 145.957517 139.037623 \nL 141.971713 141.491452 \nL 138.894771 143.701906 \nL 136.52743 145.774463 \nL 134.687352 147.776283 \nL 133.218018 149.742397 \nL 131.432388 152.648993 \nL 128.233727 158.255432 \nL 127.029275 160.030086 \nL 125.664735 161.741916 \nL 124.089654 163.380765 \nL 122.252545 164.934072 \nL 120.09909 166.384476 \nL 117.571207 167.706497 \nL 114.60728 168.862025 \nL 111.144216 169.794294 \nL 109.206505 170.151966 \nL 107.12232 170.420007 \nL 104.886249 170.58226 \nL 102.494598 170.619618 \nL 99.946094 170.509689 \nL 97.242742 170.226497 \nL 94.390895 169.740294 \nL 91.402502 169.017543 \nL 88.296577 168.021161 \nL 85.100815 166.711182 \nL 81.853319 165.045961 \nL 78.604269 162.984136 \nL 75.417356 160.487498 \nL 72.370672 157.524938 \nL 69.556626 154.077509 \nL 67.08045 150.144462 \nL 65.056793 145.749848 \nL 63.603988 140.948867 \nL 62.835916 135.832793 \nL 62.851767 130.530893 \nL 63.72467 125.207806 \nL 65.49082 120.055151 \nL 68.141165 115.277201 \nL 71.617724 111.071863 \nL 75.815966 107.60973 \nL 80.593459 105.015146 \nL 85.78348 103.353179 \nL 91.21111 102.625181 \nL 96.708817 102.773625 \nL 102.128947 103.694547 \nL 107.351658 105.254386 \nL 112.287995 107.307426 \nL 116.878988 109.71094 \nL 121.092043 112.33606 \nL 124.916014 115.074069 \nL 128.356039 117.838625 \nL 131.428817 120.564966 \nL 134.158671 123.207371 \nL 136.57447 125.735778 \nL 140.588995 130.388164 \nL 143.722255 134.472194 \nL 147.268835 139.590282 \nL 150.815775 144.803026 \nL 152.402785 146.825379 \nL 154.008018 148.502332 \nL 155.714553 149.851313 \nL 157.591935 150.877225 \nL 159.699586 151.572675 \nL 162.088789 151.918251 \nL 164.802972 151.88295 \nL 167.875913 151.425091 \nL 171.327368 150.494311 \nL 175.155551 149.035622 \nL 179.325911 146.996982 \nL 183.75609 144.342056 \nL 186.0254 142.781135 \nL 188.29796 141.069982 \nL 190.54205 139.218505 \nL 192.719922 137.242539 \nL 194.78777 135.164846 \nL 196.69609 133.015962 \nL 198.390553 130.8347 \nL 199.81347 128.668135 \nL 200.905992 126.570864 \nL 201.611015 124.603329 \nL 201.87675 122.829099 \nL 201.660719 121.311104 \nL 200.933863 120.107018 \nL 199.684254 119.264239 \nL 197.919859 118.815053 \nL 195.669787 118.772836 \nL 192.983683 119.12998 \nL 189.929066 119.858144 \nL 186.586889 120.910904 \nL 183.045854 122.22856 \nL 179.396265 123.744244 \nL 172.106996 127.104144 \nL 165.283348 130.532853 \nL 159.28042 133.745204 \nL 154.24991 136.632844 \nL 150.192786 139.208066 \nL 147.020382 141.538166 \nL 144.60333 143.69872 \nL 142.803581 145.750329 \nL 141.492344 147.732185 \nL 140.558403 149.66443 \nL 139.910595 151.553528 \nL 139.477091 153.397687 \nL 139.11288 156.066495 \nL 138.983658 158.597626 \nL 139.052879 161.725644 \nL 139.32857 164.547063 \nL 139.801367 167.049198 \nL 140.308964 168.711564 \nL 140.985195 170.184464 \nL 141.881389 171.457205 \nL 142.635342 172.185342 \nL 143.545528 172.807137 \nL 144.645252 173.31 \nL 145.975045 173.676503 \nL 147.583995 173.88274 \nL 149.531189 173.896109 \nL 151.887119 173.672335 \nL 154.734758 173.151539 \nL 158.169752 172.253188 \nL 162.298715 170.869942 \nL 167.233817 168.86091 \nL 173.080681 166.045894 \nL 176.371784 164.268633 \nL 179.91483 162.204409 \nL 183.707711 159.821236 \nL 187.73981 157.087378 \nL 191.989097 153.973496 \nL 196.41868 150.455763 \nL 200.972843 146.52018 \nL 205.572759 142.168259 \nL 210.112248 137.424153 \nL 214.454211 132.342949 \nL 218.4287 127.01955 \nL 221.834014 121.596675 \nL 224.44247 116.269828 \nL 226.012716 111.286024 \nL 226.30982 106.932562 \nL 225.133249 103.512636 \nL 222.350176 101.306832 \nL 217.928476 100.524353 \nL 211.960451 101.253849 \nL 204.667793 103.429084 \nL 196.381475 106.824491 \nL 187.49824 111.087937 \nL 178.42419 115.80398 \nL 161.071012 125.048847 \nL 153.259766 129.021774 \nL 146.185624 132.373189 \nL 139.876081 135.081448 \nL 134.309845 137.188406 \nL 129.436436 138.771191 \nL 125.191107 139.919998 \nL 121.50483 140.723494 \nL 118.310273 141.26077 \nL 113.152542 141.788745 \nL 109.293541 141.884881 \nL 105.248568 141.674551 \nL 101.989113 141.206817 \nL 100.199491 140.747798 \nL 99.140159 140.276078 \nL 98.82158 139.914591 \nL 98.91939 139.82403 \nL 99.192523 139.890378 \nL 99.526379 140.195766 \nL 99.677314 140.637333 \nL 99.587717 140.994678 \nL 99.302418 141.243317 \nL 98.877049 141.312286 \nL 98.409011 141.169626 \nL 98.017248 140.8346 \nL 97.813113 140.38031 \nL 97.867257 139.92124 \nL 98.10149 139.636323 \nL 98.471732 139.484565 \nL 99.034168 139.528382 \nL 99.570719 139.82708 \nL 99.940591 140.311331 \nL 100.046816 140.754746 \nL 99.957495 141.173068 \nL 99.678526 141.498998 \nL 99.244784 141.676147 \nL 98.717191 141.666907 \nL 98.176562 141.459543 \nL 97.713527 141.073606 \nL 97.414316 140.561755 \nL 97.343808 140.005282 \nL 97.529666 139.501761 \nL 97.952656 139.145975 \nL 98.547596 139.009032 \nL 99.215562 139.122362 \nL 99.843696 139.4718 \nL 100.326407 140.002513 \nL 100.582466 140.631282 \nL 100.565539 141.261185 \nL 100.36803 141.675591 \nL 100.024147 141.998336 \nL 99.55802 142.19777 \nL 98.809198 142.232508 \nL 98.017728 141.981145 \nL 97.313516 141.460161 \nL 96.921901 140.930057 \nL 96.700691 140.329767 \nL 96.682695 139.716929 \nL 96.880437 139.155356 \nL 97.282735 138.707032 \nL 97.854793 138.423494 \nL 98.542116 138.33847 \nL 99.277468 138.463553 \nL 99.989327 138.787615 \nL 100.610033 139.279712 \nL 101.082262 139.894163 \nL 101.363215 140.576336 \nL 101.426663 141.267957 \nL 101.26345 141.911307 \nL 100.881223 142.452276 \nL 100.303918 142.842788 \nL 99.571281 143.043055 \nL 98.738153 143.024382 \nL 97.87296 142.772647 \nL 97.054569 142.292418 \nL 96.366658 141.610841 \nL 95.889235 140.779906 \nL 95.687801 139.875241 \nL 95.801997 138.989958 \nL 96.057385 138.45973 \nL 96.447697 138.010303 \nL 96.95714 137.665826 \nL 97.56331 137.444925 \nL 98.592711 137.369135 \nL 99.672203 137.604964 \nL 100.695142 138.125817 \nL 101.565713 138.877154 \nL 102.207477 139.78665 \nL 102.567334 140.773919 \nL 102.615956 141.75795 \nL 102.34639 142.661674 \nL 101.995881 143.184308 \nL 101.51863 143.620522 \nL 100.927493 143.952858 \nL 100.239305 144.165797 \nL 99.071963 144.233384 \nL 97.822366 143.972647 \nL 96.996058 143.610984 \nL 96.216497 143.103517 \nL 95.521144 142.461956 \nL 94.947297 141.705979 \nL 94.529722 140.863568 \nL 94.297935 139.970585 \nL 94.273364 139.069384 \nL 94.466832 138.206362 \nL 94.876751 137.428648 \nL 95.48845 136.780263 \nL 96.274818 136.298296 \nL 97.198255 136.00973 \nL 98.213677 135.929418 \nL 99.272092 136.059481 \nL 100.324205 136.390126 \nL 101.323592 136.901531 \nL 102.229107 137.566442 \nL 103.006373 138.352863 \nL 103.628414 139.22656 \nL 104.075584 140.152998 \nL 104.335045 141.098723 \nL 104.400008 142.032119 \nL 104.268959 142.923701 \nL 103.945029 143.74606 \nL 103.4356 144.473636 \nL 102.752205 145.082449 \nL 101.910722 145.549915 \nL 100.931834 145.8549 \nL 99.84166 145.978106 \nL 98.672422 145.902874 \nL 97.462974 145.616522 \nL 96.258941 145.112168 \nL 95.112176 144.391003 \nL 94.079276 143.464805 \nL 93.218873 142.358253 \nL 92.587717 141.110543 \nL 92.235643 139.775597 \nL 92.200024 138.420258 \nL 92.500539 137.120126 \nL 93.135305 135.95322 \nL 94.079366 134.992285 \nL 95.286068 134.297034 \nL 96.691302 133.907979 \nL 98.219837 133.842996 \nL 99.792528 134.097246 \nL 101.333122 134.646085 \nL 102.773596 135.450054 \nL 104.057511 136.460587 \nL 105.141352 137.62536 \nL 105.994204 138.892504 \nL 106.596326 140.213386 \nL 106.937171 141.544004 \nL 107.013335 142.845248 \nL 106.826767 144.082391 \nL 106.383473 145.224153 \nL 105.6928 146.241526 \nL 104.767346 147.106676 \nL 103.623508 147.792024 \nL 102.282584 148.269674 \nL 100.772367 148.511398 \nL 99.129057 148.489343 \nL 97.399255 148.177677 \nL 95.641638 147.555369 \nL 93.927788 146.610234 \nL 92.341473 145.344093 \nL 90.975643 143.778527 \nL 89.926561 141.96025 \nL 89.549652 140.978716 \nL 89.284905 139.964482 \nL 89.140944 138.931326 \nL 89.124582 137.89446 \nL 89.240496 136.870196 \nL 89.490926 135.875529 \nL 89.875463 134.927635 \nL 90.390946 134.043335 \nL 91.031442 133.238513 \nL 91.788378 132.527572 \nL 92.65077 131.922929 \nL 93.605551 131.434599 \nL 94.638002 131.069901 \nL 95.73221 130.833289 \nL 96.871581 130.726324 \nL 98.039341 130.747795 \nL 99.218998 130.893935 \nL 100.39475 131.158758 \nL 102.676767 132.011716 \nL 104.783796 133.229563 \nL 106.638791 134.725447 \nL 108.189297 136.413363 \nL 109.404396 138.215165 \nL 110.270075 140.063982 \nL 110.784254 141.904806 \nL 110.952311 143.693222 \nL 110.783528 145.39313 \nL 110.288658 146.974111 \nL 109.478612 148.408768 \nL 108.364195 149.670271 \nL 106.956861 150.730192 \nL 105.270407 151.556708 \nL 103.323621 152.113337 \nL 101.143824 152.358423 \nL 98.771228 152.24572 \nL 96.263834 151.726704 \nL 94.983779 151.300131 \nL 93.702253 150.755239 \nL 92.43348 150.087897 \nL 91.193428 149.295266 \nL 89.999733 148.376233 \nL 88.871549 147.331853 \nL 87.829269 146.165827 \nL 86.894121 144.884963 \nL 86.087635 143.499569 \nL 85.430986 142.023771 \nL 84.944202 140.475665 \nL 84.645301 138.877271 \nL 84.549375 137.254259 \nL 84.667706 135.635376 \nL 85.006959 134.051619 \nL 85.568556 132.53513 \nL 86.348281 131.117905 \nL 87.336174 129.830371 \nL 88.516758 128.700002 \nL 89.869574 127.750007 \nL 91.370021 126.998314 \nL 92.990388 126.456835 \nL 94.701054 126.131185 \nL 96.471683 126.02077 \nL 98.272398 126.11927 \nL 100.074791 126.415408 \nL 101.852743 126.893938 \nL 103.583027 127.53675 \nL 105.245677 128.323941 \nL 106.824134 129.234837 \nL 108.305218 130.24885 \nL 109.67895 131.346183 \nL 110.938275 132.50834 \nL 113.09795 134.961509 \nL 114.772338 137.495589 \nL 115.972578 140.026689 \nL 116.722375 142.495915 \nL 117.049875 144.863695 \nL 116.982007 147.103921 \nL 116.54098 149.198735 \nL 115.742504 151.134125 \nL 114.595354 152.896255 \nL 113.102027 154.468294 \nL 111.260349 155.827526 \nL 109.066099 156.942584 \nL 106.516823 157.770734 \nL 103.61719 158.255401 \nL 102.041129 158.346989 \nL 100.38622 158.324352 \nL 98.658638 158.175981 \nL 96.866757 157.889518 \nL 95.021558 157.451975 \nL 93.137037 156.850029 \nL 91.23061 156.070486 \nL 89.32346 155.10086 \nL 87.440808 153.930155 \nL 85.612042 152.549837 \nL 83.870633 150.954964 \nL 82.253792 149.145458 \nL 80.801778 147.127495 \nL 79.556809 144.914845 \nL 78.561552 142.530058 \nL 77.857178 140.005313 \nL 77.481069 137.382684 \nL 77.464338 134.713704 \nL 77.829303 132.05796 \nL 78.587272 129.480775 \nL 79.736855 127.049942 \nL 81.263113 124.831816 \nL 83.137722 122.887089 \nL 85.320219 121.266768 \nL 87.76024 120.008867 \nL 90.400505 119.136203 \nL 93.180208 118.655578 \nL 96.038436 118.558434 \nL 98.917237 118.82275 \nL 101.76409 119.415849 \nL 104.53363 120.297713 \nL 107.18858 121.424293 \nL 109.699986 122.750571 \nL 112.046899 124.233004 \nL 114.215652 125.831344 \nL 116.198897 127.509787 \nL 117.994544 129.237534 \nL 119.604698 130.988892 \nL 121.034655 132.743039 \nL 122.292017 134.483592 \nL 124.326434 137.877186 \nL 125.788918 141.10585 \nL 126.76088 144.141555 \nL 127.315293 146.978475 \nL 127.51215 149.623313 \nL 127.396737 152.088922 \nL 126.99957 154.390191 \nL 126.33716 156.541475 \nL 125.413115 158.554865 \nL 124.219242 160.438905 \nL 122.736551 162.197313 \nL 120.936152 163.827495 \nL 118.780218 165.318458 \nL 116.223289 166.647878 \nL 113.214441 167.777962 \nL 109.701079 168.6498 \nL 107.739856 168.962921 \nL 105.635549 169.176027 \nL 103.384786 169.272304 \nL 100.986233 169.232029 \nL 98.441348 169.03231 \nL 95.755286 168.646919 \nL 92.93798 168.04625 \nL 90.005391 167.197499 \nL 86.980908 166.065156 \nL 83.89683 164.611962 \nL 80.795875 162.800432 \nL 77.73249 160.595153 \nL 74.773784 157.965951 \nL 71.999752 154.891978 \nL 69.50241 151.366728 \nL 67.383414 147.403623 \nL 65.749827 143.041683 \nL 64.707809 138.350359 \nL 64.354378 133.432346 \nL 64.76781 128.423073 \nL 65.997785 123.48567 \nL 68.056931 118.800863 \nL 70.915475 114.55225 \nL 74.500569 110.908711 \nL 78.700956 108.006777 \nL 83.376615 105.93633 \nL 88.371757 104.732449 \nL 93.528862 104.375054 \nL 98.701355 104.795911 \nL 103.763091 105.891101 \nL 108.613778 107.535956 \nL 113.180504 109.599629 \nL 117.41621 111.956975 \nL 121.296193 114.496762 \nL 124.813776 117.126048 \nL 127.975903 119.771383 \nL 130.799188 122.377764 \nL 133.306617 124.906282 \nL 135.524974 127.331224 \nL 139.209481 131.816308 \nL 142.081767 135.788663 \nL 145.324204 140.833142 \nL 149.269315 147.174545 \nL 150.701272 149.105428 \nL 152.18869 150.729826 \nL 153.803859 152.059012 \nL 155.609789 153.09291 \nL 157.663281 153.81993 \nL 160.016759 154.216698 \nL 162.718603 154.24775 \nL 165.811587 153.865457 \nL 169.328845 153.010729 \nL 173.286583 151.615437 \nL 177.672574 149.60812 \nL 180.010625 148.354298 \nL 182.429686 146.925128 \nL 184.912051 145.317022 \nL 187.434305 143.529857 \nL 189.966536 141.568151 \nL 192.471654 139.442423 \nL 194.904908 137.170596 \nL 197.213742 134.77943 \nL 199.338148 132.305712 \nL 201.21172 129.797057 \nL 202.763531 127.311977 \nL 203.921029 124.918935 \nL 204.613958 122.694049 \nL 204.779203 120.71728 \nL 204.366281 119.067078 \nL 203.34291 117.81384 \nL 201.699933 117.012814 \nL 199.454726 116.697516 \nL 196.652308 116.874916 \nL 193.363596 117.523416 \nL 189.680806 118.59449 \nL 185.710474 120.017774 \nL 181.565158 121.708978 \nL 173.180698 125.542964 \nL 165.264162 129.472219 \nL 155.216965 134.744891 \nL 149.948935 137.698541 \nL 145.766286 140.272681 \nL 142.520905 142.579456 \nL 140.038527 144.720136 \nL 138.149177 146.76677 \nL 136.701684 148.761755 \nL 135.568589 150.724732 \nL 134.236509 153.617759 \nL 131.198418 160.912472 \nL 129.790018 163.44103 \nL 128.663525 165.056363 \nL 127.340463 166.613149 \nL 125.776513 168.107996 \nL 123.921592 169.53432 \nL 121.718555 170.879879 \nL 119.102419 172.123292 \nL 116.000499 173.22906 \nL 112.334224 174.140532 \nL 110.264366 174.497582 \nL 108.023881 174.770145 \nL 105.604218 174.940326 \nL 102.998391 174.986512 \nL 100.201788 174.88283 \nL 97.213226 174.598619 \nL 94.036255 174.097973 \nL 90.680794 173.339455 \nL 87.16508 172.276102 \nL 83.517929 170.855901 \nL 79.781258 169.022996 \nL 76.012696 166.71989 \nL 72.288028 163.890995 \nL 68.703053 160.487816 \nL 65.374224 156.475994 \nL 62.437327 151.844135 \nL 60.043317 146.613936 \nL 58.350527 140.850432 \nL 57.512884 134.670431 \nL 57.664546 128.246488 \nL 58.902429 121.803584 \nL 61.26947 115.606191 \nL 64.74223 109.93535 \nL 69.226475 105.058051 \nL 74.563101 101.194216 \nL 80.54415 98.488467 \nL 86.935979 96.993386 \nL 93.504643 96.66823 \nL 100.038228 97.392704 \nL 106.362309 98.991308 \nL 112.347139 101.261664 \nL 117.907449 104.000542 \nL 122.99712 107.023344 \nL 127.601318 110.175593 \nL 131.728202 113.337069 \nL 135.4015 116.420597 \nL 138.654536 119.367663 \nL 144.055794 124.727469 \nL 148.252514 129.309673 \nL 154.203476 136.313479 \nL 157.454445 140.003107 \nL 159.375013 141.857213 \nL 161.245277 143.286561 \nL 163.158611 144.323463 \nL 165.184647 144.985642 \nL 167.372586 145.278743 \nL 169.752771 145.199191 \nL 172.336379 144.73764 \nL 175.113217 143.883387 \nL 178.047847 142.630267 \nL 181.074501 140.984294 \nL 184.091878 138.973213 \nL 186.959621 136.657207 \nL 189.499258 134.138835 \nL 190.581788 132.848947 \nL 191.502986 131.568641 \nL 192.235545 130.323623 \nL 192.753482 129.141376 \nL 193.033381 128.05019 \nL 193.055746 127.077965 \nL 192.80632 126.250806 \nL 192.277305 125.591549 \nL 191.468318 125.118298 \nL 190.386986 124.843204 \nL 189.049055 124.771557 \nL 187.477984 124.901412 \nL 185.704012 125.223744 \nL 183.76276 125.723217 \nL 179.537257 127.16831 \nL 175.125522 129.041497 \nL 170.824278 131.144633 \nL 166.864609 133.316852 \nL 163.397399 135.451804 \nL 160.49878 137.494103 \nL 158.186793 139.42438 \nL 156.441084 141.242515 \nL 155.220469 142.954501 \nL 154.476326 144.564423 \nL 154.161632 146.070793 \nL 154.236423 147.465598 \nL 154.670591 148.734632 \nL 155.444886 149.858207 \nL 156.550753 150.811655 \nL 157.989383 151.565411 \nL 159.770184 152.084727 \nL 161.908619 152.32908 \nL 164.423237 152.251598 \nL 167.331478 151.798834 \nL 170.643703 150.911572 \nL 174.354762 149.52755 \nL 178.432401 147.587441 \nL 182.802132 145.045811 \nL 185.057272 143.543231 \nL 187.329091 141.888842 \nL 189.58821 140.09003 \nL 191.799355 138.159681 \nL 193.921183 136.117236 \nL 195.906457 133.989599 \nL 197.702651 131.811817 \nL 199.253164 129.627339 \nL 200.499176 127.48759 \nL 201.382243 125.450743 \nL 201.847603 123.579457 \nL 201.848015 121.937559 \nL 201.347899 120.585743 \nL 200.327284 119.57665 \nL 198.785072 118.949838 \nL 196.741033 118.727418 \nL 194.236034 118.911123 \nL 191.330281 119.481482 \nL 188.099605 120.399432 \nL 184.63022 121.610284 \nL 181.012645 123.049342 \nL 173.681047 126.341766 \nL 166.708862 129.790302 \nL 160.499616 133.067774 \nL 155.246134 136.030554 \nL 150.976828 138.670612 \nL 147.617584 141.048343 \nL 145.044289 143.240524 \nL 143.118532 145.312223 \nL 141.708251 147.307443 \nL 140.697794 149.25014 \nL 139.991408 151.149322 \nL 139.513029 153.004609 \nL 139.099368 155.693283 \nL 138.93366 158.248116 \nL 138.96235 161.412455 \nL 139.196012 164.27415 \nL 139.615976 166.820261 \nL 140.071388 168.518921 \nL 140.679666 170.032537 \nL 141.486394 171.352841 \nL 142.165145 172.118266 \nL 142.984525 172.783574 \nL 143.974521 173.338251 \nL 145.171711 173.767636 \nL 146.620529 174.051536 \nL 148.374668 174.162326 \nL 150.498561 174.062403 \nL 153.068701 173.700775 \nL 156.174447 173.008596 \nL 159.917545 171.893536 \nL 164.409053 170.233172 \nL 169.761362 167.868271 \nL 172.791974 166.360595 \nL 176.071558 164.598408 \nL 179.604783 162.550731 \nL 183.390331 160.185303 \nL 187.418559 157.469916 \nL 191.668635 154.37451 \nL 196.105076 150.874207 \nL 200.673794 146.953551 \nL 205.297768 142.612142 \nL 209.872692 137.871708 \nL 214.263257 132.784454 \nL 218.300959 127.442068 \nL 221.784828 121.984044 \nL 224.48676 116.603154 \nL 226.163303 111.544915 \nL 226.575321 107.097271 \nL 225.515731 103.567075 \nL 222.843101 101.242135 \nL 218.515507 100.342122 \nL 212.61587 100.968013 \nL 205.358826 103.065279 \nL 197.072347 106.416519 \nL 188.154986 110.67203 \nL 179.018907 115.412531 \nL 161.492936 124.766532 \nL 153.587907 128.803022 \nL 146.423432 132.212739 \nL 140.030519 134.969281 \nL 134.389562 137.112469 \nL 129.450515 138.719395 \nL 125.148337 139.881388 \nL 121.413371 140.688735 \nL 118.17756 141.222261 \nL 112.956963 141.726096 \nL 109.057859 141.783986 \nL 106.150821 141.624464 \nL 103.129336 141.231134 \nL 100.764802 140.673654 \nL 99.401707 140.105973 \nL 99.024283 139.759433 \nL 99.102443 139.666848 \nL 99.406953 139.782516 \nL 99.727346 140.112235 \nL 99.903462 140.567104 \nL 99.846592 141.031165 \nL 99.620048 141.328799 \nL 99.256344 141.504079 \nL 98.684706 141.498378 \nL 98.110214 141.22696 \nL 97.684176 140.736791 \nL 97.538616 140.261426 \nL 97.609242 139.797569 \nL 97.896027 139.429477 \nL 98.358414 139.22826 \nL 98.9218 139.236261 \nL 99.491863 139.458121 \nL 99.972511 139.860852 \nL 100.282497 140.381576 \nL 100.367401 140.939368 \nL 100.206292 141.447694 \nL 99.813916 141.825462 \nL 99.239763 142.006666 \nL 98.564335 141.949271 \nL 97.891709 141.643916 \nL 97.336844 141.121048 \nL 97.006897 140.453486 \nL 96.954986 139.922433 \nL 97.087997 139.424736 \nL 97.400456 139.013994 \nL 97.866752 138.73646 \nL 98.443697 138.624666 \nL 99.075722 138.693201 \nL 99.701658 138.937356 \nL 100.424356 139.495177 \nL 100.816776 140.038197 \nL 101.03928 140.635414 \nL 101.069979 141.235521 \nL 100.902217 141.787594 \nL 100.544501 142.244027 \nL 100.020115 142.56296 \nL 99.366498 142.71063 \nL 98.634229 142.664042 \nL 97.885124 142.414075 \nL 97.188808 141.968753 \nL 96.617285 141.355995 \nL 96.237309 140.624616 \nL 96.101321 139.842296 \nL 96.238432 139.089558 \nL 96.647737 138.449912 \nL 97.296075 137.99778 \nL 98.121399 137.787062 \nL 99.041218 137.843292 \nL 99.964009 138.161253 \nL 100.800816 138.708111 \nL 101.474621 139.430235 \nL 101.926291 140.261415 \nL 102.11718 141.130279 \nL 102.029358 141.965865 \nL 101.66472 142.70118 \nL 101.044027 143.275437 \nL 100.206455 143.635883 \nL 99.209556 143.740165 \nL 98.129018 143.560056 \nL 98.129018 143.560056 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p963855f2d1\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
    "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,0], result_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
    ]
   },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
-    "from torchts.nn.models.ode import ODESolver\n",
-    "# from torchts.nn.model import TimeSeriesModel"
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=torch.optim.SGD,\n",
+    "    optimizer_args={\"lr\": 0.01}\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(20000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 9.1793e-01,  2.6634e-01,  1.2636e-03],\n",
+       "        [ 8.6792e-01,  5.1173e-01,  4.6540e-03],\n",
+       "        ...,\n",
+       "        [-8.8668e+00, -1.4836e+01,  1.6847e+01],\n",
+       "        [-9.4751e+00, -1.5664e+01,  1.7779e+01],\n",
+       "        [-1.0103e+01, -1.6452e+01,  1.8857e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 15
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "<ipython-input-23-f8e7389386ef>:6: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T17:31:48.180207</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m0d84048e57\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.014948\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(17.462604 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"70.661921\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −15 -->\n      <g transform=\"translate(60.109578 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"113.308895\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −10 -->\n      <g transform=\"translate(102.756551 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"155.955869\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −5 -->\n      <g transform=\"translate(148.584775 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"198.602843\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0 -->\n      <g transform=\"translate(195.421593 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.249816\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5 -->\n      <g transform=\"translate(238.068566 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"283.89679\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(277.53429 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"326.543764\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 15 -->\n      <g transform=\"translate(320.181264 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.190738\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(362.828238 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf20dd04dc3\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf20dd04dc3\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf20dd04dc3\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf20dd04dc3\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf20dd04dc3\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf20dd04dc3\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf20dd04dc3\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pd49988e703)\" d=\"M 207.132237 261.829321 \nL 205.813302 261.779998 \nL 205.825633 261.745412 \nL 206.913812 261.578892 \nL 211.987985 260.884149 \nL 217.342452 259.876397 \nL 222.192245 258.688842 \nL 228.33538 256.800226 \nL 231.980183 255.474279 \nL 236.059968 253.807056 \nL 240.617044 251.714507 \nL 245.694623 249.094254 \nL 251.335133 245.822989 \nL 257.577702 241.754373 \nL 264.454555 236.718134 \nL 271.98603 230.521413 \nL 280.173892 222.953863 \nL 288.992793 213.798506 \nL 298.379783 202.850643 \nL 308.222293 189.947098 \nL 318.345694 175.006907 \nL 328.502365 158.082124 \nL 338.365502 139.412789 \nL 347.531745 119.473861 \nL 355.536951 98.995877 \nL 361.888234 78.938865 \nL 366.112 60.405125 \nL 367.812273 44.493932 \nL 366.72874 32.125386 \nL 362.780352 23.880766 \nL 356.082582 19.909321 \nL 346.932998 19.930314 \nL 335.76898 23.324554 \nL 323.108924 29.279014 \nL 309.491059 36.937415 \nL 295.421799 45.519206 \nL 254.46347 71.301974 \nL 242.112537 78.867868 \nL 230.655567 85.710792 \nL 220.143868 91.825618 \nL 201.954258 102.038584 \nL 181.111257 113.285454 \nL 144.751184 132.521449 \nL 141.361469 133.904007 \nL 138.333196 134.792874 \nL 135.540865 135.204335 \nL 134.206199 135.23505 \nL 132.903033 135.151403 \nL 131.626966 134.955528 \nL 129.148163 134.238442 \nL 126.770875 133.113992 \nL 124.519905 131.627023 \nL 122.43855 129.839778 \nL 120.582986 127.832871 \nL 119.015903 125.70389 \nL 117.799522 123.563332 \nL 116.988251 121.527844 \nL 116.621737 119.711464 \nL 116.612139 118.918003 \nL 116.719015 118.216075 \nL 116.940909 117.615064 \nL 117.274731 117.122625 \nL 117.715804 116.74453 \nL 118.257928 116.484623 \nL 118.893523 116.3448 \nL 119.613756 116.32506 \nL 121.267679 116.636943 \nL 123.131532 117.387077 \nL 125.110404 118.5219 \nL 127.109334 119.974145 \nL 129.039074 121.669199 \nL 130.820336 123.530273 \nL 132.386426 125.48219 \nL 133.684394 127.453685 \nL 134.674981 129.378533 \nL 135.331786 131.195803 \nL 135.640051 132.849693 \nL 135.595357 134.289174 \nL 135.202537 135.467773 \nL 134.879424 135.945973 \nL 134.474923 136.343655 \nL 133.991984 136.656399 \nL 133.434062 136.880194 \nL 132.10978 137.047163 \nL 130.540631 136.822564 \nL 128.774459 136.195115 \nL 126.868877 135.167229 \nL 124.891315 133.758204 \nL 122.918317 132.007176 \nL 121.033665 129.975018 \nL 119.325176 127.744545 \nL 117.879978 125.418206 \nL 116.778525 123.112832 \nL 116.087893 120.95151 \nL 115.855221 119.053444 \nL 115.918522 118.236666 \nL 116.102299 117.523216 \nL 116.404804 116.92232 \nL 116.822458 116.44124 \nL 117.349916 116.085171 \nL 117.980192 115.857184 \nL 118.7048 115.758266 \nL 119.513956 115.787373 \nL 121.341579 116.216296 \nL 123.367377 117.101518 \nL 125.489924 118.380555 \nL 127.609347 119.978327 \nL 129.633242 121.813873 \nL 131.480908 123.805681 \nL 133.085713 125.875232 \nL 134.395882 127.949032 \nL 135.374048 129.959402 \nL 135.996108 131.844427 \nL 136.249718 133.547527 \nL 136.132845 135.016928 \nL 135.652614 136.205325 \nL 135.28078 136.680588 \nL 134.824578 137.069945 \nL 134.287237 137.368872 \nL 133.67251 137.573234 \nL 132.22865 137.684141 \nL 130.534303 137.38021 \nL 128.640609 136.65039 \nL 126.609158 135.498391 \nL 124.512137 133.946319 \nL 122.431562 132.037928 \nL 120.457214 129.840744 \nL 118.683025 127.446145 \nL 117.201726 124.966539 \nL 116.098183 122.529245 \nL 115.441903 120.267111 \nL 115.297227 119.241942 \nL 115.279901 118.307022 \nL 115.39134 117.475327 \nL 115.631 116.75804 \nL 115.99631 116.16434 \nL 116.482755 115.7012 \nL 117.083926 115.373281 \nL 117.791688 115.182946 \nL 118.596354 115.130282 \nL 119.48691 115.213221 \nL 121.476559 115.768083 \nL 123.65594 116.795912 \nL 125.916103 118.225423 \nL 128.151512 119.973877 \nL 130.266202 121.954261 \nL 132.17779 124.080572 \nL 133.819549 126.27123 \nL 135.140753 128.450751 \nL 136.105835 130.550175 \nL 136.692844 132.506685 \nL 136.891698 134.262947 \nL 136.702577 135.766364 \nL 136.465073 136.408022 \nL 136.134687 136.968702 \nL 135.713869 137.443075 \nL 135.205579 137.826098 \nL 134.613295 138.113084 \nL 133.941039 138.299763 \nL 133.19339 138.382339 \nL 131.493215 138.222776 \nL 129.561766 137.616742 \nL 127.458937 136.560494 \nL 125.256064 135.068244 \nL 123.035751 133.17611 \nL 120.890347 130.945264 \nL 118.918845 128.463247 \nL 117.221818 125.842422 \nL 115.894623 123.214745 \nL 115.019376 120.722739 \nL 114.771233 119.5721 \nL 114.656726 118.507404 \nL 114.678917 117.543846 \nL 114.838755 116.694879 \nL 115.135013 115.971919 \nL 115.564299 115.384084 \nL 116.121089 114.938033 \nL 116.797868 114.637872 \nL 117.58529 114.48518 \nL 118.472404 114.479104 \nL 119.446914 114.616506 \nL 120.495469 114.892191 \nL 122.757844 115.829005 \nL 125.142973 117.217582 \nL 127.535919 118.971453 \nL 129.83062 120.998013 \nL 131.934938 123.204995 \nL 133.773404 125.504686 \nL 135.287918 127.81604 \nL 136.437013 130.065344 \nL 137.194151 132.185808 \nL 137.54573 134.116646 \nL 137.489132 135.802169 \nL 137.309556 136.536717 \nL 137.03116 137.190976 \nL 136.656118 137.759167 \nL 136.187092 138.23576 \nL 135.627268 138.61554 \nL 134.980345 138.893636 \nL 134.250584 139.065571 \nL 133.442819 139.127354 \nL 132.562496 139.07556 \nL 130.609313 138.621013 \nL 128.448421 137.69015 \nL 126.149361 136.288235 \nL 123.794149 134.442163 \nL 121.476543 132.204658 \nL 119.299537 129.656954 \nL 117.370846 126.908764 \nL 115.796239 124.094436 \nL 114.671149 121.364703 \nL 114.301894 120.080211 \nL 114.071442 118.874515 \nL 113.984812 117.765211 \nL 114.04481 116.768326 \nL 114.251933 115.897879 \nL 114.604293 115.165551 \nL 115.097644 114.580443 \nL 115.725439 114.148898 \nL 116.479005 113.874447 \nL 117.347736 113.757875 \nL 118.31935 113.797335 \nL 119.380221 113.98856 \nL 120.515658 114.325148 \nL 122.94834 115.399977 \nL 125.491787 116.940051 \nL 128.023918 118.850173 \nL 130.433816 121.030718 \nL 132.626647 123.384192 \nL 134.526116 125.819285 \nL 136.074697 128.252656 \nL 137.232398 130.609155 \nL 137.97465 132.821007 \nL 138.289946 134.826651 \nL 138.177677 136.569489 \nL 137.963567 137.325804 \nL 137.646461 137.997019 \nL 137.228713 138.577161 \nL 136.713188 139.0605 \nL 136.103248 139.44159 \nL 135.402786 139.715314 \nL 134.61626 139.876962 \nL 133.74872 139.922288 \nL 132.805861 139.847626 \nL 130.720464 139.327276 \nL 128.420293 138.302911 \nL 125.978663 136.779659 \nL 123.482566 134.786033 \nL 121.03194 132.378698 \nL 118.737028 129.645587 \nL 116.713378 126.705961 \nL 115.074478 123.706083 \nL 113.922349 120.80986 \nL 113.555038 119.453318 \nL 113.337276 118.184977 \nL 113.274137 117.023669 \nL 113.368267 115.986377 \nL 113.619762 115.087808 \nL 114.026101 114.340008 \nL 114.582184 113.752125 \nL 115.280446 113.330234 \nL 116.111011 113.077322 \nL 117.06198 112.993369 \nL 118.119694 113.075523 \nL 119.269107 113.31835 \nL 120.494143 113.714195 \nL 123.103892 114.925288 \nL 125.813692 116.616878 \nL 128.493892 118.684745 \nL 131.028337 121.02202 \nL 133.319255 123.525881 \nL 135.289338 126.1014 \nL 136.881498 128.66294 \nL 138.057123 131.133915 \nL 138.793502 133.445604 \nL 139.081097 135.535603 \nL 139.056621 136.479335 \nL 138.921141 137.346377 \nL 138.676206 138.130135 \nL 138.323854 138.824189 \nL 137.866606 139.422348 \nL 137.307469 139.918642 \nL 136.649952 140.307359 \nL 135.898094 140.583082 \nL 135.056498 140.740798 \nL 134.130388 140.775943 \nL 133.125648 140.684527 \nL 132.048895 140.463276 \nL 129.709785 139.622548 \nL 127.18264 138.247568 \nL 124.551742 136.354238 \nL 121.916322 133.986458 \nL 119.388916 131.220939 \nL 117.091377 128.169402 \nL 115.148052 124.976538 \nL 113.676393 121.812457 \nL 113.149512 120.29816 \nL 112.775767 118.859435 \nL 112.562885 117.518088 \nL 112.516138 116.294384 \nL 112.638135 115.206485 \nL 112.928659 114.269967 \nL 113.384641 113.497404 \nL 114.000186 112.898135 \nL 114.76671 112.478072 \nL 115.67316 112.239723 \nL 116.706293 112.182293 \nL 117.85102 112.301937 \nL 119.090828 112.59206 \nL 120.408172 113.043708 \nL 123.202577 114.386529 \nL 126.088647 116.227903 \nL 128.928481 118.454175 \nL 131.600087 120.950898 \nL 134.002282 123.609681 \nL 136.056395 126.331817 \nL 137.705528 129.029295 \nL 138.91225 131.624057 \nL 139.65553 134.046414 \nL 139.927642 136.233102 \nL 139.887552 137.219633 \nL 139.731464 138.12559 \nL 139.461081 138.944186 \nL 139.078579 139.668802 \nL 138.586603 140.292987 \nL 137.988258 140.810495 \nL 137.28715 141.215286 \nL 136.487405 141.501621 \nL 135.593722 141.664092 \nL 134.61142 141.697745 \nL 133.546519 141.598176 \nL 132.40579 141.361692 \nL 131.196835 140.985463 \nL 129.928166 140.467697 \nL 127.250537 139.00683 \nL 124.460915 136.993455 \nL 121.663875 134.472017 \nL 118.979055 131.522756 \nL 116.537011 128.264598 \nL 114.471843 124.853249 \nL 113.620966 123.147001 \nL 112.910845 121.473123 \nL 112.354274 119.856712 \nL 111.96204 118.322523 \nL 111.742537 116.894275 \nL 111.701451 115.593967 \nL 111.841547 114.441232 \nL 112.162484 113.452796 \nL 112.660773 112.642027 \nL 113.329833 112.018664 \nL 114.160138 111.58866 \nL 115.139463 111.354167 \nL 116.25323 111.31373 \nL 117.484888 111.462557 \nL 118.81637 111.792897 \nL 120.22856 112.294483 \nL 121.701756 112.955047 \nL 124.752049 114.6969 \nL 127.813867 116.898198 \nL 130.748425 119.434659 \nL 133.438325 122.187146 \nL 135.7906 125.046837 \nL 137.736657 127.917102 \nL 139.230068 130.713058 \nL 140.243227 133.359823 \nL 140.763706 135.790247 \nL 140.838623 136.904919 \nL 140.790927 137.942728 \nL 140.621979 138.896535 \nL 140.333607 139.759367 \nL 139.928089 140.524371 \nL 139.408143 141.18484 \nL 138.776928 141.7342 \nL 138.038089 142.16607 \nL 137.195769 142.474297 \nL 136.254688 142.653035 \nL 135.220192 142.696849 \nL 134.098335 142.600821 \nL 132.895961 142.360711 \nL 131.620784 141.973143 \nL 130.28147 141.43579 \nL 128.88772 140.747592 \nL 127.450339 139.908997 \nL 124.493623 137.79147 \nL 121.52072 135.126372 \nL 118.658264 131.995722 \nL 116.045896 128.524294 \nL 113.828544 124.87828 \nL 112.911992 123.051164 \nL 112.145045 121.256886 \nL 111.541832 119.522861 \nL 111.114311 117.876166 \nL 110.871861 116.3428 \nL 110.820916 114.946884 \nL 110.964681 113.709938 \nL 111.302969 112.650255 \nL 111.832111 111.782401 \nL 112.545014 111.11686 \nL 113.431348 110.659911 \nL 114.477797 110.413621 \nL 115.668474 110.376036 \nL 116.985347 110.541541 \nL 118.408746 110.901275 \nL 119.917871 111.443689 \nL 121.491339 112.155081 \nL 124.745785 114.0227 \nL 128.006942 116.372424 \nL 131.126624 119.069959 \nL 133.980775 121.988305 \nL 136.472418 125.013013 \nL 138.531168 128.04373 \nL 140.110439 130.993288 \nL 141.183483 133.785407 \nL 141.739183 136.352008 \nL 141.822893 137.531047 \nL 141.778313 138.630572 \nL 141.606928 139.643292 \nL 141.310658 140.562032 \nL 140.891845 141.37971 \nL 140.353235 142.089341 \nL 139.697991 142.684018 \nL 138.929722 143.156965 \nL 138.052527 143.501581 \nL 137.071059 143.711512 \nL 135.990589 143.780749 \nL 134.817103 143.703752 \nL 133.557394 143.475603 \nL 132.219157 143.092216 \nL 130.811096 142.550519 \nL 129.343003 141.848724 \nL 127.825873 140.986563 \nL 126.271928 139.965595 \nL 124.694702 138.789484 \nL 123.109017 137.464269 \nL 121.530953 135.998618 \nL 118.467719 132.695144 \nL 117.019893 130.889413 \nL 115.65389 129.007441 \nL 114.389475 127.072613 \nL 113.246172 125.110812 \nL 112.242778 123.149919 \nL 111.396887 121.219244 \nL 110.724322 119.348745 \nL 110.238641 117.568198 \nL 109.950648 115.906337 \nL 109.867963 114.389926 \nL 109.994687 113.042943 \nL 110.331169 111.885835 \nL 110.873935 110.934908 \nL 111.615699 110.201958 \nL 112.545559 109.694057 \nL 113.64929 109.413578 \nL 114.909792 109.358388 \nL 116.307551 109.522256 \nL 117.821232 109.895367 \nL 119.428262 110.464917 \nL 121.105425 111.215769 \nL 122.829409 112.131102 \nL 126.327208 114.383113 \nL 129.751205 117.074391 \nL 132.954714 120.063122 \nL 135.820135 123.220352 \nL 138.259865 126.433185 \nL 140.214001 129.604539 \nL 141.646168 132.650919 \nL 142.53868 135.499224 \nL 142.780996 136.828314 \nL 142.887912 138.083584 \nL 142.860549 139.257465 \nL 142.700483 140.342513 \nL 142.409707 141.33138 \nL 141.990585 142.216754 \nL 141.445858 142.991374 \nL 140.778628 143.648006 \nL 139.992415 144.179465 \nL 139.091191 144.578668 \nL 138.079439 144.838699 \nL 136.962251 144.952898 \nL 135.745418 144.914998 \nL 134.435533 144.719276 \nL 133.040108 144.360748 \nL 131.5677 143.835394 \nL 130.028014 143.140412 \nL 128.432022 142.274528 \nL 126.792057 141.238279 \nL 125.121865 140.034372 \nL 123.43664 138.667994 \nL 121.753035 137.147134 \nL 120.089065 135.482833 \nL 118.463993 133.689436 \nL 116.898123 131.784662 \nL 115.412505 129.789659 \nL 114.028574 127.728824 \nL 112.767731 125.629525 \nL 111.650798 123.521614 \nL 110.697503 121.436791 \nL 109.92583 119.40781 \nL 109.351478 117.467547 \nL 108.98725 115.64799 \nL 108.842566 113.979221 \nL 108.923038 112.488425 \nL 109.23018 111.198986 \nL 109.761241 110.129812 \nL 110.509252 109.294767 \nL 111.463141 108.702464 \nL 112.608096 108.356193 \nL 113.925985 108.254174 \nL 115.395936 108.38995 \nL 116.994937 108.752985 \nL 118.698537 109.329367 \nL 120.481495 110.102542 \nL 122.318431 111.054073 \nL 124.184407 112.164333 \nL 127.908892 114.78048 \nL 131.481331 117.792424 \nL 134.758178 121.053242 \nL 137.629265 124.433684 \nL 140.016659 127.823389 \nL 141.87067 131.12893 \nL 143.164457 134.270391 \nL 143.597749 135.75738 \nL 143.888472 137.177561 \nL 144.037325 138.52308 \nL 144.045536 139.786283 \nL 143.914766 140.959599 \nL 143.647055 142.035538 \nL 143.244775 143.006607 \nL 142.710614 143.865286 \nL 142.047586 144.604024 \nL 141.259054 145.215254 \nL 140.348777 145.691417 \nL 139.320988 146.025 \nL 138.180467 146.208666 \nL 136.932663 146.235323 \nL 135.583802 146.098323 \nL 134.14102 145.791627 \nL 132.612498 145.310029 \nL 131.007607 144.649455 \nL 129.337041 143.807253 \nL 127.612943 142.782544 \nL 125.848987 141.57658 \nL 124.060481 140.193131 \nL 122.264355 138.638887 \nL 120.479152 136.923759 \nL 118.724933 135.061211 \nL 117.023074 133.068465 \nL 115.396034 130.966592 \nL 113.866979 128.78044 \nL 112.45932 126.538418 \nL 111.196191 124.272055 \nL 110.099846 122.015345 \nL 109.190989 119.803952 \nL 108.488074 117.674177 \nL 108.006664 115.661845 \nL 107.758789 113.801124 \nL 107.752436 112.123352 \nL 107.991136 110.65595 \nL 108.473734 109.421539 \nL 109.194316 108.437237 \nL 110.142332 107.714267 \nL 111.302896 107.257854 \nL 112.657275 107.067385 \nL 114.183467 107.136862 \nL 115.856897 107.455518 \nL 117.651185 108.00862 \nL 119.538904 108.778322 \nL 121.492307 109.74454 \nL 123.484039 110.885783 \nL 125.487703 112.17993 \nL 129.43296 115.13896 \nL 133.152381 118.453103 \nL 136.506195 121.971819 \nL 139.391752 125.566498 \nL 141.740428 129.129668 \nL 143.512059 132.57153 \nL 144.175111 134.222655 \nL 144.688448 135.815536 \nL 145.052212 137.341946 \nL 145.267205 138.793962 \nL 145.334752 140.163852 \nL 145.256594 141.44399 \nL 145.034821 142.62678 \nL 144.671805 143.704613 \nL 144.170177 144.669779 \nL 143.532829 145.514487 \nL 142.762929 146.230836 \nL 141.863971 146.810815 \nL 140.839831 147.246379 \nL 139.694876 147.529499 \nL 138.434057 147.652242 \nL 137.063047 147.606955 \nL 135.588378 147.386422 \nL 134.017602 146.98408 \nL 132.359453 146.394293 \nL 130.624003 145.612697 \nL 128.822833 144.636528 \nL 126.969148 143.465049 \nL 125.077932 142.099962 \nL 123.165989 140.545871 \nL 121.251988 138.810707 \nL 119.356396 136.906144 \nL 117.501368 134.847893 \nL 115.71052 132.655962 \nL 114.008613 130.354711 \nL 112.421105 127.972742 \nL 110.973605 125.542567 \nL 109.691246 123.10003 \nL 108.59796 120.68349 \nL 107.715701 118.332819 \nL 107.063667 116.088127 \nL 106.657548 113.988474 \nL 106.508853 112.070458 \nL 106.624343 110.366898 \nL 107.005662 108.905668 \nL 107.649131 107.708765 \nL 108.545795 106.791681 \nL 109.681648 106.163094 \nL 111.038085 105.824947 \nL 112.59251 105.772837 \nL 114.319114 105.996652 \nL 116.189694 106.481454 \nL 118.174528 107.208443 \nL 120.243258 108.155993 \nL 122.365675 109.300662 \nL 124.512454 110.618098 \nL 126.655759 112.083806 \nL 128.7697 113.673836 \nL 132.817758 117.136404 \nL 136.499037 120.839493 \nL 139.697682 124.642438 \nL 142.336393 128.429414 \nL 143.430651 130.286565 \nL 144.370162 132.105472 \nL 145.153122 133.876661 \nL 145.778814 135.591301 \nL 146.247404 137.241057 \nL 146.559772 138.81795 \nL 146.717333 140.314229 \nL 146.721933 141.722259 \nL 146.575728 143.034442 \nL 146.281117 144.243123 \nL 145.840699 145.340524 \nL 145.257257 146.318722 \nL 144.533759 147.169583 \nL 143.673398 147.884783 \nL 142.679655 148.455826 \nL 141.556382 148.87408 \nL 140.307911 149.130848 \nL 138.939182 149.21749 \nL 137.455907 149.125586 \nL 135.864719 148.847107 \nL 134.173369 148.374695 \nL 132.390912 147.701979 \nL 130.527901 146.823905 \nL 128.59657 145.737192 \nL 126.610996 144.440768 \nL 124.587248 142.936308 \nL 122.54349 141.228711 \nL 120.499984 139.326645 \nL 118.479058 137.243009 \nL 116.504978 134.995332 \nL 114.603667 132.606014 \nL 112.80235 130.102412 \nL 111.129018 127.516702 \nL 109.611831 124.885457 \nL 108.27834 122.248958 \nL 107.154657 119.650216 \nL 106.264565 117.133706 \nL 105.62862 114.743929 \nL 105.263269 112.523809 \nL 105.180121 110.513103 \nL 105.385332 108.746871 \nL 105.87922 107.254199 \nL 106.656091 106.057172 \nL 107.704354 105.170286 \nL 109.00687 104.600257 \nL 110.541545 104.346225 \nL 112.282091 104.400373 \nL 114.198946 104.748768 \nL 116.260259 105.372504 \nL 118.432896 106.248865 \nL 120.683436 107.352533 \nL 122.979015 108.656717 \nL 125.288129 110.134175 \nL 127.581243 111.75802 \nL 129.831271 113.502389 \nL 132.013877 115.342892 \nL 134.107685 117.256928 \nL 137.958312 121.224794 \nL 139.687055 123.243049 \nL 141.270515 125.263476 \nL 142.701036 127.272593 \nL 143.973048 129.258296 \nL 145.082805 131.209687 \nL 146.0281 133.116853 \nL 146.807993 134.970684 \nL 147.422582 136.762675 \nL 147.872769 138.484788 \nL 148.160063 140.129281 \nL 148.286433 141.688578 \nL 148.254156 143.155157 \nL 148.065726 144.521449 \nL 147.723777 145.779762 \nL 147.231048 146.922182 \nL 146.590369 147.940557 \nL 145.804681 148.826439 \nL 144.877069 149.571081 \nL 143.810854 150.165461 \nL 142.609676 150.600288 \nL 141.277629 150.866118 \nL 139.819411 150.953448 \nL 138.240494 150.852875 \nL 136.54731 150.555297 \nL 134.747474 150.052229 \nL 132.849998 149.336091 \nL 130.865522 148.400645 \nL 128.806532 147.241451 \nL 126.687572 145.856395 \nL 124.525412 144.246271 \nL 122.339182 142.415414 \nL 120.150438 140.37229 \nL 117.983128 138.130068 \nL 115.863453 135.707136 \nL 113.819629 133.127407 \nL 111.881446 130.420504 \nL 110.079722 127.62161 \nL 108.445605 124.771047 \nL 107.009704 121.91349 \nL 105.801123 119.096856 \nL 104.846429 116.370845 \nL 104.168601 113.785241 \nL 103.786038 111.38802 \nL 103.71165 109.223483 \nL 103.952172 107.330469 \nL 104.50771 105.740821 \nL 105.371585 104.47827 \nL 106.530433 103.55776 \nL 107.964675 102.985282 \nL 109.649192 102.758214 \nL 111.554285 102.866088 \nL 113.646711 103.291729 \nL 115.890873 104.012556 \nL 118.249981 105.002044 \nL 120.687137 106.231116 \nL 123.166347 107.669458 \nL 125.65339 109.286653 \nL 128.116446 111.053077 \nL 130.526608 112.94059 \nL 132.858205 114.922992 \nL 135.088946 116.976305 \nL 137.199922 119.078858 \nL 139.175515 121.211283 \nL 141.003203 123.356367 \nL 142.673302 125.498887 \nL 144.178662 127.62538 \nL 145.514348 129.723895 \nL 146.677325 131.783772 \nL 147.666122 133.795377 \nL 148.480549 135.749907 \nL 149.121415 137.63917 \nL 149.590278 139.455417 \nL 149.889249 141.191164 \nL 150.020792 142.839074 \nL 149.987604 144.391788 \nL 149.792488 145.841851 \nL 149.438285 147.18161 \nL 148.927836 148.403123 \nL 148.263962 149.498093 \nL 147.449486 150.457853 \nL 146.487284 151.273311 \nL 145.380365 151.934947 \nL 144.131975 152.432878 \nL 142.745729 152.756864 \nL 141.225789 152.896448 \nL 139.577035 152.841085 \nL 137.80529 152.580384 \nL 135.917559 152.104327 \nL 133.922277 151.403652 \nL 131.829579 150.470263 \nL 129.65156 149.297741 \nL 127.402534 147.881932 \nL 125.099276 146.221602 \nL 122.761204 144.319144 \nL 120.410491 142.181313 \nL 118.072109 139.819944 \nL 115.773764 137.252606 \nL 113.545627 134.503105 \nL 111.419972 131.601772 \nL 109.430616 128.585493 \nL 107.612128 125.497366 \nL 105.998932 122.38593 \nL 104.624209 119.304003 \nL 103.518706 116.307072 \nL 102.709501 113.45137 \nL 102.218801 110.791668 \nL 102.062843 108.379032 \nL 102.251029 106.258654 \nL 102.785271 104.467945 \nL 103.659754 103.035095 \nL 104.860989 101.978159 \nL 106.368277 101.304811 \nL 108.154464 101.012668 \nL 110.187021 101.090172 \nL 112.429272 101.517928 \nL 114.84174 102.270292 \nL 117.383527 103.317086 \nL 120.013612 104.625298 \nL 122.692005 106.160625 \nL 125.380746 107.888824 \nL 128.044669 109.776776 \nL 130.651977 111.793261 \nL 133.174579 113.909477 \nL 135.58826 116.099303 \nL 137.87267 118.339411 \nL 140.011193 120.609172 \nL 141.990691 122.890491 \nL 143.801207 125.167581 \nL 145.435609 127.426663 \nL 146.889194 129.655672 \nL 148.159327 131.843986 \nL 149.245064 133.982134 \nL 150.146808 136.061531 \nL 150.865991 138.074284 \nL 151.404801 140.012949 \nL 151.765942 141.870378 \nL 151.952416 143.639538 \nL 151.967383 145.313378 \nL 151.814011 146.884712 \nL 151.495412 148.346086 \nL 151.014563 149.68972 \nL 150.374307 150.907396 \nL 149.577349 151.990425 \nL 148.626303 152.929583 \nL 147.52378 153.715083 \nL 146.27247 154.336589 \nL 144.8753 154.783223 \nL 143.33559 155.043675 \nL 141.657247 155.106272 \nL 139.844998 154.959186 \nL 137.904646 154.590659 \nL 135.843346 153.989323 \nL 133.669911 153.144605 \nL 131.39512 152.047232 \nL 129.032038 150.689858 \nL 126.59633 149.067735 \nL 124.106513 147.179534 \nL 121.5842 145.028182 \nL 119.05424 142.621756 \nL 116.54473 139.97434 \nL 114.086913 137.106803 \nL 111.714888 134.047381 \nL 109.465105 130.831955 \nL 107.375665 127.504034 \nL 105.485367 124.114205 \nL 103.832566 120.719103 \nL 102.453841 117.379843 \nL 101.382566 114.159949 \nL 100.647457 111.122927 \nL 100.271149 108.329535 \nL 100.269002 105.835099 \nL 100.648164 103.687 \nL 101.407002 101.922624 \nL 102.534948 100.567909 \nL 104.012797 99.636674 \nL 105.813471 99.130677 \nL 107.903082 99.040466 \nL 110.242342 99.346732 \nL 112.788091 100.022204 \nL 115.494946 101.033661 \nL 118.316869 102.344093 \nL 121.208584 103.914556 \nL 124.126841 105.705925 \nL 127.031392 107.680271 \nL 129.885729 109.801836 \nL 132.657549 112.037734 \nL 135.318995 114.358322 \nL 137.846677 116.737306 \nL 140.221545 119.151674 \nL 142.428611 121.581485 \nL 144.456593 124.009574 \nL 146.297499 126.421205 \nL 147.946189 128.803711 \nL 149.399916 131.146124 \nL 150.657892 133.438878 \nL 151.720886 135.673484 \nL 152.590842 137.842259 \nL 153.270545 139.938085 \nL 153.763347 141.954197 \nL 154.0729 143.884011 \nL 154.202971 145.720954 \nL 154.157285 147.458319 \nL 153.939401 149.089149 \nL 153.552633 150.606115 \nL 153.000015 152.001438 \nL 152.284281 153.266774 \nL 151.407904 154.393167 \nL 150.373136 155.370992 \nL 149.182117 156.189894 \nL 147.836978 156.838795 \nL 146.340009 157.305906 \nL 144.693837 157.578787 \nL 142.901651 157.644446 \nL 140.967461 157.489514 \nL 138.896384 157.100491 \nL 136.694963 156.464067 \nL 134.371516 155.567575 \nL 131.936512 154.39953 \nL 129.402945 152.950308 \nL 126.786705 151.212963 \nL 124.106944 149.184144 \nL 121.386342 146.865116 \nL 118.65135 144.262825 \nL 115.932252 141.390981 \nL 113.263099 138.271048 \nL 110.681446 134.933023 \nL 108.227802 131.415924 \nL 105.944864 127.767835 \nL 103.876426 124.045389 \nL 102.066072 120.312609 \nL 100.555588 116.639086 \nL 99.383278 113.09754 \nL 98.582199 109.760816 \nL 98.178455 106.698628 \nL 98.189745 103.974244 \nL 98.624213 101.641389 \nL 99.479767 99.741811 \nL 100.743937 98.303545 \nL 102.394257 97.34016 \nL 104.399183 96.851042 \nL 106.719466 96.822471 \nL 109.30983 97.229568 \nL 112.120886 98.038558 \nL 115.101036 99.209406 \nL 118.198369 100.698346 \nL 121.362297 102.460158 \nL 124.54495 104.450177 \nL 127.702273 106.625784 \nL 130.794807 108.947501 \nL 133.788119 111.379618 \nL 136.65299 113.890503 \nL 139.365377 116.452588 \nL 141.906151 119.042201 \nL 144.260736 121.639221 \nL 146.418639 124.226643 \nL 148.372941 126.790163 \nL 150.119745 129.317706 \nL 151.657671 131.799044 \nL 152.98733 134.225362 \nL 154.110879 136.58896 \nL 155.031593 138.882929 \nL 155.753492 141.100905 \nL 156.28104 143.236842 \nL 156.618872 145.284826 \nL 156.771585 147.238896 \nL 156.743567 149.09291 \nL 156.538872 150.840398 \nL 156.161145 152.474471 \nL 155.613567 153.987677 \nL 154.89885 155.371939 \nL 154.019259 156.618454 \nL 152.97667 157.717596 \nL 151.772648 158.658879 \nL 150.408577 159.430896 \nL 148.885814 160.021315 \nL 147.205869 160.416892 \nL 145.37064 160.603505 \nL 143.382679 160.566312 \nL 141.24549 160.28991 \nL 138.963882 159.758643 \nL 136.544345 158.956982 \nL 133.995477 157.870069 \nL 131.328431 156.484362 \nL 128.557363 154.788486 \nL 125.699902 152.774221 \nL 122.777562 150.437663 \nL 119.816112 147.780468 \nL 116.845804 144.811228 \nL 113.901501 141.546774 \nL 111.022524 138.01339 \nL 108.252295 134.247762 \nL 105.637641 130.297473 \nL 103.227759 126.22091 \nL 101.072854 122.086458 \nL 99.222407 117.970798 \nL 97.723221 113.956391 \nL 96.617294 110.128157 \nL 95.939702 106.569589 \nL 95.716579 103.358613 \nL 95.963511 100.563546 \nL 96.68437 98.239552 \nL 97.870768 96.426071 \nL 99.502242 95.145339 \nL 101.547066 94.40218 \nL 103.963691 94.185034 \nL 106.702701 94.468049 \nL 109.709011 95.213868 \nL 112.92425 96.376812 \nL 116.289046 97.90615 \nL 119.745108 99.749007 \nL 123.23705 101.853014 \nL 126.713765 104.168215 \nL 130.129424 106.648509 \nL 133.444092 109.252475 \nL 136.623983 111.943772 \nL 139.64143 114.691111 \nL 142.474586 117.468007 \nL 145.107009 120.252337 \nL 147.527079 123.025808 \nL 149.727385 125.773367 \nL 151.704081 128.482652 \nL 153.456238 131.143483 \nL 154.985264 133.747373 \nL 156.294323 136.287135 \nL 157.387853 138.756511 \nL 158.271129 141.149886 \nL 158.949872 143.462035 \nL 159.429965 145.687905 \nL 159.717173 147.822445 \nL 159.816956 149.86043 \nL 159.734304 151.796339 \nL 159.473637 153.624231 \nL 159.038739 155.337598 \nL 158.432716 156.929284 \nL 157.658009 158.391365 \nL 156.71641 159.715059 \nL 155.609154 160.890614 \nL 154.336992 161.907239 \nL 152.900326 162.753019 \nL 151.299377 163.414876 \nL 149.534371 163.878522 \nL 147.605802 164.128507 \nL 145.514682 164.148275 \nL 143.262898 163.920327 \nL 140.853577 163.426444 \nL 138.291516 162.648082 \nL 135.583656 161.566881 \nL 132.739612 160.165339 \nL 129.772224 158.427706 \nL 126.698131 156.341085 \nL 123.538311 153.896729 \nL 120.318606 151.091549 \nL 117.070122 147.929783 \nL 113.829512 144.424703 \nL 110.638969 140.600286 \nL 107.546004 136.492616 \nL 104.6028 132.150903 \nL 101.865156 127.637781 \nL 99.391022 123.028755 \nL 97.238533 118.410552 \nL 95.463701 113.878351 \nL 94.117822 109.53192 \nL 93.244796 105.470868 \nL 92.878575 101.789384 \nL 93.040951 98.571002 \nL 93.739928 95.883905 \nL 94.968861 93.777344 \nL 96.706487 92.279447 \nL 98.917819 91.396896 \nL 101.555826 91.116005 \nL 104.56382 91.405469 \nL 107.878175 92.219855 \nL 111.431271 93.503802 \nL 115.15434 95.196128 \nL 118.980072 97.233663 \nL 122.844775 99.554404 \nL 126.690086 102.099994 \nL 130.464116 104.817307 \nL 134.122144 107.659392 \nL 137.626853 110.585785 \nL 140.948207 113.562354 \nL 144.063057 116.560855 \nL 146.954532 119.558293 \nL 149.611334 122.536163 \nL 152.026954 125.479722 \nL 154.198884 128.377294 \nL 156.127844 131.2196 \nL 157.817066 133.999213 \nL 159.271655 136.710087 \nL 160.498006 139.34715 \nL 161.503295 141.906001 \nL 162.295072 144.382602 \nL 162.88091 146.773087 \nL 163.268113 149.073581 \nL 163.463502 151.280028 \nL 163.473243 153.388054 \nL 163.302725 155.392855 \nL 162.956481 157.289084 \nL 162.43815 159.070722 \nL 161.750459 160.730966 \nL 160.895247 162.262121 \nL 159.87351 163.655492 \nL 158.685484 164.901261 \nL 157.330747 165.988366 \nL 155.808346 166.904407 \nL 154.116976 167.635539 \nL 152.255181 168.166414 \nL 150.22159 168.480123 \nL 148.015232 168.558249 \nL 145.635874 168.380909 \nL 143.084424 167.926974 \nL 140.363419 167.17437 \nL 137.477544 166.100556 \nL 134.43426 164.683187 \nL 131.244444 162.901062 \nL 127.923102 160.735281 \nL 124.490109 158.170737 \nL 120.970876 155.197889 \nL 117.397022 151.814787 \nL 113.806834 148.029295 \nL 110.245531 143.861353 \nL 106.765188 139.345083 \nL 103.424267 134.530499 \nL 100.286588 129.484474 \nL 97.41974 124.290646 \nL 94.892887 119.048 \nL 92.774001 113.867893 \nL 91.12669 108.86949 \nL 90.00674 104.173927 \nL 89.458751 99.89747 \nL 89.51312 96.144549 \nL 90.183717 93.001288 \nL 91.466507 90.53038 \nL 93.339365 88.768013 \nL 95.76301 87.723028 \nL 98.683089 87.378336 \nL 102.033129 87.694438 \nL 105.738026 88.614211 \nL 109.717796 90.068456 \nL 113.891227 91.981391 \nL 118.179156 94.275628 \nL 122.50717 96.876302 \nL 126.807691 99.713986 \nL 131.021326 102.726657 \nL 135.097601 105.860598 \nL 138.99515 109.07057 \nL 142.681444 112.319399 \nL 146.132195 115.577232 \nL 149.330543 118.820549 \nL 152.266101 122.031162 \nL 154.933982 125.195224 \nL 157.333785 128.302316 \nL 159.468684 131.344649 \nL 161.344559 134.316415 \nL 162.969232 137.213223 \nL 164.351797 140.031664 \nL 165.502059 142.768966 \nL 166.430054 145.422697 \nL 167.145673 147.990571 \nL 167.658339 150.470253 \nL 167.976781 152.859236 \nL 168.108847 155.154707 \nL 168.061381 157.353432 \nL 167.840133 159.451679 \nL 167.449709 161.445094 \nL 166.893555 163.328588 \nL 166.173963 165.096256 \nL 165.292107 166.741228 \nL 164.248089 168.255553 \nL 163.041017 169.630064 \nL 161.669096 170.854218 \nL 160.129763 171.915976 \nL 158.419827 172.801619 \nL 156.535651 173.495616 \nL 154.473379 173.980514 \nL 152.229204 174.236813 \nL 149.799711 174.242956 \nL 147.182247 173.975356 \nL 144.375413 173.408524 \nL 141.379604 172.515389 \nL 138.197671 171.267803 \nL 134.835653 169.637279 \nL 131.303605 167.596079 \nL 127.616514 165.118646 \nL 123.795248 162.18345 \nL 119.867512 158.775269 \nL 115.86874 154.887873 \nL 111.842824 150.527051 \nL 107.842555 145.71373 \nL 103.929673 140.486968 \nL 100.174303 134.90648 \nL 96.653744 129.054116 \nL 93.450422 123.033883 \nL 90.648957 116.970028 \nL 88.332505 111.002853 \nL 86.578432 105.282274 \nL 85.453699 99.959454 \nL 85.010358 95.17724 \nL 85.281619 91.06047 \nL 86.279018 87.707451 \nL 87.990956 85.183592 \nL 90.382934 83.518287 \nL 93.399404 82.705144 \nL 96.96706 82.70545 \nL 100.99919 83.45414 \nL 105.400584 84.867279 \nL 110.072507 86.84993 \nL 114.917308 89.303481 \nL 119.842328 92.131769 \nL 124.76294 95.245578 \nL 129.604593 98.565662 \nL 134.303985 102.024078 \nL 138.809408 105.564533 \nL 143.080483 109.141759 \nL 147.087409 112.720401 \nL 150.809901 116.273582 \nL 154.235944 119.781457 \nL 157.36051 123.229796 \nL 160.184255 126.608708 \nL 162.712315 129.91156 \nL 164.953203 133.134114 \nL 166.917838 136.273787 \nL 168.618696 139.329123 \nL 170.069113 142.299349 \nL 171.282701 145.184081 \nL 172.272876 147.983099 \nL 173.052491 150.696154 \nL 173.63355 153.322864 \nL 174.027002 155.862607 \nL 174.242589 158.314435 \nL 174.28874 160.677019 \nL 174.172524 162.948569 \nL 173.899603 165.12676 \nL 173.474242 167.208664 \nL 172.899317 169.190645 \nL 172.176337 171.068292 \nL 171.305501 172.836266 \nL 170.285735 174.488194 \nL 169.114764 176.016509 \nL 167.789182 177.412281 \nL 166.304545 178.665044 \nL 164.655467 179.762589 \nL 162.835765 180.690743 \nL 160.838608 181.433147 \nL 158.656721 181.971025 \nL 156.282634 182.282974 \nL 153.708994 182.344796 \nL 150.928946 182.129354 \nL 147.936623 181.60656 \nL 144.727733 180.743494 \nL 141.300275 179.504729 \nL 137.655384 177.852935 \nL 133.798339 175.749875 \nL 129.739703 173.157841 \nL 125.496594 170.041697 \nL 121.094053 166.371504 \nL 116.566408 162.125934 \nL 111.958583 157.296251 \nL 107.327152 151.890846 \nL 102.740956 145.939966 \nL 98.281101 139.500216 \nL 94.040026 132.658038 \nL 90.119457 125.531535 \nL 86.627108 118.269591 \nL 83.672051 111.047681 \nL 81.358967 104.060015 \nL 79.781628 97.5082 \nL 79.01621 91.587326 \nL 79.115171 86.471155 \nL 80.1025 82.298429 \nL 81.970973 79.162383 \nL 84.681912 77.105003 \nL 88.167469 76.11695 \nL 92.335165 76.142613 \nL 97.07409 77.089407 \nL 102.261986 78.839277 \nL 107.772373 81.260812 \nL 113.481089 84.22013 \nL 119.271685 87.589721 \nL 125.039424 91.254518 \nL 130.693828 95.115409 \nL 136.159928 99.090566 \nL 141.378372 103.114934 \nL 146.304702 107.138794 \nL 150.908045 111.125577 \nL 155.169464 115.049534 \nL 159.080138 118.89348 \nL 162.639546 122.646726 \nL 165.853754 126.30337 \nL 168.733825 129.860867 \nL 171.294432 133.318957 \nL 173.552683 136.678817 \nL 175.527113 139.942487 \nL 177.236881 143.112415 \nL 178.701122 146.191194 \nL 179.938443 149.181379 \nL 180.966553 152.085343 \nL 181.801979 154.905249 \nL 182.459885 157.642991 \nL 182.953941 160.300157 \nL 183.296263 162.878059 \nL 183.497385 165.377701 \nL 183.566255 167.799781 \nL 183.510264 170.144653 \nL 183.335283 172.412338 \nL 183.045711 174.60248 \nL 182.644516 176.714294 \nL 182.133296 178.746538 \nL 181.512317 180.697432 \nL 180.780561 182.564578 \nL 179.935761 184.344876 \nL 178.974437 186.034398 \nL 177.891927 187.628261 \nL 176.682409 189.120454 \nL 175.338931 190.503668 \nL 173.853439 191.769062 \nL 172.216811 192.906023 \nL 170.418905 193.901884 \nL 168.448623 194.741588 \nL 166.294017 195.407349 \nL 163.942415 195.878253 \nL 161.380614 196.129855 \nL 158.595149 196.133759 \nL 155.572643 195.857212 \nL 152.30029 195.262794 \nL 148.766472 194.308168 \nL 144.961572 192.946086 \nL 140.878989 191.124668 \nL 136.516396 188.788148 \nL 131.877294 185.878261 \nL 126.972817 182.336433 \nL 121.823795 178.107053 \nL 116.46307 173.141967 \nL 110.93783 167.406347 \nL 105.311872 160.885888 \nL 99.667448 153.595057 \nL 94.106304 145.585714 \nL 88.749476 136.955057 \nL 83.735312 127.851319 \nL 79.215312 118.475426 \nL 75.347518 109.076751 \nL 72.287603 99.941753 \nL 70.178095 91.375271 \nL 69.136901 83.676089 \nL 69.246454 77.109673 \nL 70.545154 71.882833 \nL 73.022501 68.124496 \nL 76.618798 65.876418 \nL 81.229576 65.095157 \nL 86.714039 65.66419 \nL 92.906215 67.413334 \nL 99.627168 70.141192 \nL 106.696747 73.636818 \nL 113.943604 77.697556 \nL 121.212806 82.141661 \nL 128.370763 86.815427 \nL 135.307664 91.595631 \nL 141.937842 96.388467 \nL 148.198587 101.126322 \nL 154.047928 105.763383 \nL 159.461859 110.271128 \nL 164.431354 114.633997 \nL 168.959422 118.845733 \nL 173.0584 122.906394 \nL 176.747527 126.820036 \nL 180.050887 130.593022 \nL 182.99568 134.232816 \nL 185.610837 137.747197 \nL 187.925918 141.143734 \nL 189.970271 144.429516 \nL 191.772414 147.611012 \nL 193.359594 150.694011 \nL 194.757493 153.683641 \nL 197.079426 159.400402 \nL 198.908018 164.791444 \nL 200.384948 169.880326 \nL 202.190016 176.987023 \nL 204.819823 187.537194 \nL 205.935602 191.330068 \nL 207.174146 194.884947 \nL 208.591082 198.200123 \nL 210.24494 201.267827 \nL 212.200206 204.07195 \nL 213.313374 205.367048 \nL 214.530268 206.584652 \nL 215.861918 207.718652 \nL 217.320262 208.76148 \nL 218.918211 209.703839 \nL 220.669724 210.534362 \nL 222.589848 211.239243 \nL 224.694745 211.801765 \nL 227.00169 212.201787 \nL 229.529002 212.415153 \nL 232.295931 212.413029 \nL 235.322443 212.161179 \nL 238.628887 211.619219 \nL 242.23551 210.739873 \nL 246.161749 209.468303 \nL 250.4253 207.741645 \nL 255.040816 205.488888 \nL 260.01827 202.631325 \nL 265.360814 199.083881 \nL 271.062173 194.757706 \nL 277.103483 189.564452 \nL 283.44969 183.422711 \nL 290.045603 176.267 \nL 296.811896 168.059439 \nL 303.641571 158.80385 \nL 310.397525 148.561222 \nL 316.912152 137.464594 \nL 322.98992 125.730299 \nL 328.413905 113.661646 \nL 332.956753 101.641236 \nL 336.396018 90.109026 \nL 338.53258 79.526251 \nL 339.210181 70.328981 \nL 338.332754 62.878941 \nL 335.876759 57.421618 \nL 331.895703 54.060657 \nL 326.516018 52.754129 \nL 319.924929 53.332367 \nL 312.352596 55.531762 \nL 304.051717 59.036 \nL 295.277749 63.515929 \nL 286.27215 68.661705 \nL 277.250169 74.204072 \nL 268.39341 79.924832 \nL 259.846799 85.658568 \nL 251.718989 91.288237 \nL 244.085149 96.737599 \nL 236.991138 101.962505 \nL 230.458303 106.942508 \nL 224.488304 111.673579 \nL 219.067611 116.162302 \nL 214.171476 120.42143 \nL 209.767292 124.466714 \nL 205.817365 128.314755 \nL 202.281104 131.981638 \nL 199.116726 135.482125 \nL 196.282531 138.829269 \nL 193.737824 142.034266 \nL 189.362728 148.053465 \nL 185.704913 153.594492 \nL 178.150047 165.514797 \nL 175.264289 169.508459 \nL 173.771956 171.328438 \nL 172.224128 173.023472 \nL 170.604998 174.586634 \nL 168.899465 176.009524 \nL 167.093021 177.282112 \nL 165.17168 178.392536 \nL 163.121936 179.32692 \nL 160.930785 180.069189 \nL 158.585786 180.600829 \nL 156.075203 180.900741 \nL 153.388215 180.945062 \nL 150.515209 180.707105 \nL 147.448201 180.157362 \nL 144.181342 179.263692 \nL 140.711582 177.991696 \nL 137.039465 176.305408 \nL 133.170069 174.168332 \nL 129.114089 171.544961 \nL 124.88903 168.402868 \nL 120.520482 164.715356 \nL 116.043399 160.464839 \nL 111.503235 155.646734 \nL 106.956856 150.273814 \nL 102.473005 144.380659 \nL 98.132082 138.027743 \nL 94.025002 131.304433 \nL 90.251061 124.330211 \nL 86.914467 117.253282 \nL 84.119769 110.245982 \nL 81.966215 103.496723 \nL 80.54149 97.198815 \nL 79.915445 91.537149 \nL 80.134419 86.674254 \nL 81.217025 82.737772 \nL 83.151873 79.81116 \nL 85.897692 77.928901 \nL 89.38577 77.077121 \nL 93.524492 77.198831 \nL 98.205355 78.20294 \nL 103.30972 79.97522 \nL 108.715533 82.389616 \nL 114.303455 85.318334 \nL 119.96187 88.639969 \nL 125.590569 92.245116 \nL 131.103124 96.039488 \nL 136.42796 99.945121 \nL 141.508431 103.899907 \nL 146.302115 107.856138 \nL 150.77954 111.778545 \nL 154.92261 115.642077 \nL 158.722885 119.429808 \nL 162.17985 123.131003 \nL 165.29926 126.739499 \nL 168.091655 130.252368 \nL 170.57103 133.668902 \nL 172.753695 136.98981 \nL 174.65733 140.216651 \nL 176.3002 143.351424 \nL 177.700532 146.396293 \nL 178.876041 149.35339 \nL 179.843551 152.224717 \nL 180.618736 155.012042 \nL 181.215927 157.716888 \nL 181.647998 160.340479 \nL 181.926288 162.883733 \nL 182.060577 165.347244 \nL 182.059079 167.731261 \nL 181.928465 170.035679 \nL 181.673894 172.25998 \nL 181.299055 174.403198 \nL 180.80621 176.46388 \nL 180.19624 178.440014 \nL 179.468695 180.328933 \nL 178.621829 182.12722 \nL 177.652643 183.830607 \nL 176.556921 185.433823 \nL 175.329267 186.930423 \nL 173.963142 188.312617 \nL 172.450905 189.57104 \nL 170.783863 190.69451 \nL 168.952337 191.669732 \nL 166.945755 192.481009 \nL 164.752761 193.109873 \nL 162.361391 193.534744 \nL 159.759284 193.730528 \nL 156.933994 193.668267 \nL 153.873379 193.3148 \nL 150.566121 192.63252 \nL 147.002406 191.579268 \nL 143.174763 190.108474 \nL 139.079132 188.169627 \nL 134.716165 185.709254 \nL 130.092763 182.672538 \nL 125.223877 179.005804 \nL 120.134519 174.660033 \nL 114.861905 169.595513 \nL 109.457605 163.787804 \nL 103.98946 157.234707 \nL 98.542992 149.964027 \nL 93.221898 142.04127 \nL 88.147231 133.576165 \nL 83.45481 124.726573 \nL 79.290505 115.698081 \nL 75.80337 106.737801 \nL 73.136723 98.121631 \nL 71.417952 90.135243 \nL 70.748023 83.050717 \nL 71.192039 77.101941 \nL 72.772389 72.462947 \nL 75.465432 69.232824 \nL 79.202549 67.430079 \nL 83.875253 66.996955 \nL 89.343741 67.812413 \nL 95.447498 69.710575 \nL 102.016518 72.501163 \nL 108.88183 75.988504 \nL 115.884285 79.986893 \nL 122.88107 84.331008 \nL 129.749806 88.881705 \nL 136.390469 93.527665 \nL 142.725451 98.184151 \nL 148.698315 102.789885 \nL 154.271669 107.303151 \nL 159.424559 111.697682 \nL 164.149717 115.958858 \nL 168.450866 120.080431 \nL 172.340214 124.061875 \nL 175.836254 127.906347 \nL 178.961861 131.619148 \nL 181.742718 135.206651 \nL 184.206031 138.67561 \nL 186.37952 142.032668 \nL 188.290645 145.284109 \nL 189.966028 148.435703 \nL 191.431043 151.492676 \nL 192.709546 154.459715 \nL 194.793949 160.140231 \nL 196.375472 165.505573 \nL 197.582884 170.578648 \nL 198.520071 175.378468 \nL 199.595277 182.10095 \nL 202.102745 199.233469 \nL 203.110026 204.045177 \nL 203.919097 207.023689 \nL 204.877336 209.822325 \nL 206.023642 212.440576 \nL 207.403827 214.873373 \nL 209.072756 217.109166 \nL 210.035698 218.147118 \nL 211.096721 219.127028 \nL 212.266335 220.044122 \nL 213.556106 220.89239 \nL 214.978758 221.664345 \nL 216.548257 222.350699 \nL 218.279908 222.939996 \nL 220.190423 223.418163 \nL 222.297988 223.767975 \nL 224.622293 223.968428 \nL 227.184512 223.994009 \nL 230.007232 223.813857 \nL 233.114279 223.390817 \nL 236.530426 222.680403 \nL 240.28092 221.629722 \nL 244.390777 220.176405 \nL 248.883779 218.247691 \nL 253.78107 215.759809 \nL 259.099273 212.618008 \nL 264.848002 208.717518 \nL 271.0267 203.946082 \nL 277.620717 198.188593 \nL 284.59663 191.334646 \nL 291.896994 183.289667 \nL 299.434781 173.990073 \nL 307.088132 163.422358 \nL 314.696386 151.644919 \nL 322.058652 138.809932 \nL 328.936328 125.180805 \nL 335.061201 111.139289 \nL 340.149916 97.175813 \nL 343.924752 83.858501 \nL 346.139191 71.7807 \nL 346.604585 61.493321 \nL 345.213691 53.434635 \nL 341.955934 47.873456 \nL 336.921231 44.879692 \nL 330.291138 44.328915 \nL 322.319282 45.937652 \nL 313.305012 49.318554 \nL 303.565312 54.040774 \nL 293.409382 59.682901 \nL 283.11887 65.870868 \nL 272.935063 72.298772 \nL 263.05268 78.734809 \nL 244.737488 91.0412 \nL 228.854767 102.123321 \nL 221.891348 107.157137 \nL 215.567858 111.86644 \nL 209.855784 116.272845 \nL 204.716554 120.401298 \nL 200.105162 124.277078 \nL 195.973012 127.923972 \nL 192.270083 131.36327 \nL 185.95383 137.689414 \nL 180.777889 143.366485 \nL 168.93672 157.00918 \nL 165.392523 160.44155 \nL 163.587501 161.931485 \nL 161.735305 163.260633 \nL 159.819177 164.419654 \nL 157.82396 165.39767 \nL 155.736049 166.182222 \nL 153.543392 166.759235 \nL 151.235551 167.113037 \nL 148.803808 167.226403 \nL 146.241352 167.080677 \nL 143.54355 166.655973 \nL 140.708259 165.93152 \nL 137.736259 164.886181 \nL 134.631723 163.499097 \nL 131.40277 161.750642 \nL 128.06206 159.623594 \nL 124.627415 157.104558 \nL 121.122418 154.185695 \nL 117.576928 150.866682 \nL 114.027484 147.156819 \nL 110.517476 143.077146 \nL 107.096977 138.662406 \nL 103.822211 133.962576 \nL 100.754503 129.043677 \nL 97.958692 123.987605 \nL 95.500948 118.890619 \nL 93.446135 113.860429 \nL 91.854731 109.01181 \nL 90.77956 104.460989 \nL 90.262587 100.319207 \nL 90.332111 96.686178 \nL 91.000568 93.643998 \nL 92.263291 91.252432 \nL 94.09834 89.546021 \nL 96.467445 88.53332 \nL 99.317968 88.19831 \nL 102.585714 88.503638 \nL 106.198238 89.395089 \nL 110.078396 90.806831 \nL 114.147814 92.666566 \nL 118.329998 94.900254 \nL 122.552918 97.435978 \nL 126.750995 100.206836 \nL 130.866453 103.152758 \nL 134.850014 106.221481 \nL 138.661112 109.36876 \nL 142.267667 112.557997 \nL 145.64553 115.759606 \nL 148.777738 118.950096 \nL 151.653607 122.111125 \nL 154.267797 125.22857 \nL 156.619365 128.291676 \nL 158.710871 131.292272 \nL 160.547547 134.224157 \nL 162.136568 137.082547 \nL 163.486384 139.863643 \nL 164.606188 142.564288 \nL 165.505435 145.181688 \nL 166.193478 147.713202 \nL 166.67925 150.156142 \nL 166.971036 152.507655 \nL 167.076293 154.764574 \nL 167.001523 156.923322 \nL 166.752182 158.979794 \nL 166.332636 160.929242 \nL 165.746144 162.766195 \nL 164.994861 164.484317 \nL 164.079884 166.0763 \nL 163.001293 167.533741 \nL 161.758251 168.846986 \nL 160.349092 170.005012 \nL 158.771463 170.995275 \nL 157.022482 171.803576 \nL 155.098932 172.413945 \nL 152.997518 172.808508 \nL 150.715137 172.967478 \nL 148.249247 172.869124 \nL 145.598266 172.48987 \nL 142.762083 171.804543 \nL 139.742628 170.786722 \nL 136.544524 169.409379 \nL 133.175848 167.64572 \nL 129.648949 165.47039 \nL 125.981339 162.861018 \nL 122.196588 159.80017 \nL 118.325199 156.277684 \nL 114.405378 152.293341 \nL 110.483588 147.859771 \nL 106.614778 143.005315 \nL 102.862173 137.776668 \nL 99.296461 132.240788 \nL 95.99425 126.485668 \nL 93.035778 120.619582 \nL 90.50184 114.768318 \nL 88.470007 109.070331 \nL 87.010443 103.669892 \nL 86.181553 98.708729 \nL 86.025953 94.316964 \nL 86.567134 90.604344 \nL 87.807316 87.653064 \nL 89.726702 85.512917 \nL 92.284286 84.199538 \nL 95.420142 83.695781 \nL 99.058924 83.95585 \nL 103.114172 84.911466 \nL 107.493018 86.479001 \nL 112.100762 88.566694 \nL 116.845023 91.081176 \nL 121.639155 93.932735 \nL 126.404809 97.03908 \nL 131.073605 100.327628 \nL 135.588004 103.736593 \nL 139.90145 107.21494 \nL 143.977973 110.721714 \nL 147.791394 114.224948 \nL 151.324275 117.700289 \nL 154.566732 121.129674 \nL 157.515199 124.500051 \nL 160.171224 127.802233 \nL 162.540357 131.029935 \nL 164.631127 134.178984 \nL 166.45415 137.246664 \nL 168.021361 140.231261 \nL 169.345367 143.131657 \nL 170.438925 145.947056 \nL 171.314506 148.67677 \nL 171.983966 151.320072 \nL 172.458291 153.876042 \nL 172.747405 156.343496 \nL 172.86004 158.720892 \nL 172.803643 161.006258 \nL 172.584327 163.197099 \nL 172.206851 165.290332 \nL 171.674618 167.282178 \nL 170.989696 169.168082 \nL 170.152855 170.942582 \nL 169.163615 172.59919 \nL 168.020307 174.13025 \nL 166.720153 175.526769 \nL 165.259355 176.77825 \nL 163.633208 177.872493 \nL 161.836239 178.795414 \nL 159.862374 179.530803 \nL 157.705138 180.060147 \nL 155.357927 180.362451 \nL 152.814302 180.414063 \nL 150.068406 180.188622 \nL 147.115436 179.657068 \nL 143.952216 178.787778 \nL 140.577915 177.546995 \nL 136.994873 175.89942 \nL 133.209561 173.809287 \nL 129.23367 171.241777 \nL 125.085326 168.165036 \nL 120.790328 164.55276 \nL 116.383419 160.387421 \nL 111.90946 155.664014 \nL 107.4243 150.39429 \nL 102.995266 144.611028 \nL 98.701 138.372043 \nL 94.630427 131.763124 \nL 90.880694 124.899359 \nL 87.553942 117.923922 \nL 84.7529 111.003858 \nL 82.575463 104.322477 \nL 81.108684 98.068775 \nL 80.422608 92.424638 \nL 80.564762 87.551352 \nL 81.555874 83.577305 \nL 83.387523 80.588574 \nL 86.021992 78.623969 \nL 89.394482 77.674974 \nL 93.417291 77.690456 \nL 97.985575 78.584968 \nL 102.983829 80.249316 \nL 108.292478 82.561408 \nL 113.793917 85.396297 \nL 119.37752 88.634285 \nL 124.943423 92.166674 \nL 130.404952 95.8991 \nL 135.689853 99.752949 \nL 140.740491 103.665127 \nL 145.51325 107.586759 \nL 149.977371 111.481359 \nL 154.11345 115.322722 \nL 157.911773 119.092857 \nL 161.370633 122.7801 \nL 164.494697 126.377497 \nL 167.293535 129.881467 \nL 169.780286 133.290739 \nL 171.970526 136.60559 \nL 173.881307 139.827207 \nL 175.530365 142.957292 \nL 176.93549 145.997759 \nL 178.114029 148.950532 \nL 179.082505 151.817418 \nL 179.85634 154.600027 \nL 180.449657 157.299696 \nL 180.87515 159.917488 \nL 181.144006 162.454159 \nL 181.265863 164.910131 \nL 181.24881 167.28546 \nL 181.099392 169.57983 \nL 180.822644 171.792477 \nL 180.422127 173.922185 \nL 179.899974 175.967193 \nL 179.25693 177.925148 \nL 178.492398 179.792997 \nL 177.604484 181.566884 \nL 176.590034 183.242035 \nL 175.444678 184.812589 \nL 174.162873 186.271451 \nL 172.737941 187.610076 \nL 171.162124 188.81825 \nL 169.42665 189.883822 \nL 167.521813 190.792429 \nL 165.437074 191.527168 \nL 163.161225 192.068261 \nL 160.682564 192.392692 \nL 157.989179 192.473861 \nL 155.069279 192.281249 \nL 151.911667 191.780152 \nL 148.506314 190.931525 \nL 144.845122 189.692028 \nL 140.922849 188.014332 \nL 136.738274 185.847853 \nL 132.295574 183.14005 \nL 127.605955 179.838418 \nL 122.689484 175.893421 \nL 117.577123 171.262483 \nL 112.312757 165.915091 \nL 106.955188 159.839075 \nL 101.5797 153.047705 \nL 96.278974 145.587131 \nL 91.162912 137.543247 \nL 86.356961 129.046681 \nL 81.998573 120.274536 \nL 78.231595 111.4472 \nL 75.198637 102.819251 \nL 73.031815 94.664182 \nL 71.842732 87.253966 \nL 71.712803 80.835841 \nL 72.685303 75.609824 \nL 74.760387 71.710813 \nL 77.893893 69.198359 \nL 82.000257 68.055757 \nL 86.959067 68.19823 \nL 92.62429 69.487995 \nL 98.83485 71.753009 \nL 105.42519 74.80604 \nL 112.2347 78.461421 \nL 119.115206 82.547648 \nL 125.936202 86.915416 \nL 132.587891 91.441389 \nL 138.982204 96.028503 \nL 145.05231 100.604002 \nL 150.75105 105.116157 \nL 156.048669 109.53038 \nL 160.930232 113.825457 \nL 165.392993 117.990097 \nL 169.443863 122.020063 \nL 173.097115 125.915869 \nL 176.372361 129.681028 \nL 179.292851 133.320756 \nL 181.884053 136.841078 \nL 184.172519 140.248236 \nL 186.184989 143.548342 \nL 187.947718 146.747109 \nL 189.485977 149.849809 \nL 190.8237 152.861198 \nL 191.983263 155.785552 \nL 193.848911 161.388095 \nL 195.227527 166.683645 \nL 196.236823 171.693702 \nL 196.970224 176.436456 \nL 197.707162 183.083597 \nL 198.159456 189.211632 \nL 198.573804 198.382521 \nL 199.4755 222.799752 \nL 199.874925 226.789496 \nL 200.471756 230.364034 \nL 201.111437 232.793439 \nL 201.986378 235.018295 \nL 202.743713 236.389565 \nL 203.680101 237.669387 \nL 204.839193 238.852449 \nL 206.275398 239.928317 \nL 208.056482 240.87878 \nL 210.266699 241.673769 \nL 213.010491 242.265057 \nL 216.416675 242.576651 \nL 218.416167 242.59278 \nL 220.642818 242.490259 \nL 223.12145 242.244161 \nL 225.879064 241.823713 \nL 228.944797 241.191067 \nL 232.349776 240.29987 \nL 236.126791 239.093652 \nL 240.309744 237.504086 \nL 244.932755 235.449184 \nL 250.02884 232.83164 \nL 255.627971 229.537579 \nL 261.754415 225.436184 \nL 268.423092 220.380877 \nL 275.634818 214.212985 \nL 283.370292 206.76905 \nL 291.582857 197.893265 \nL 300.19017 187.456226 \nL 309.065547 175.380956 \nL 318.030003 161.675568 \nL 326.846887 146.469835 \nL 335.221495 130.04945 \nL 342.80847 112.878271 \nL 349.22922 95.596394 \nL 354.100392 78.983205 \nL 357.071464 63.881194 \nL 357.866572 51.088365 \nL 356.322624 41.24096 \nL 352.415135 34.716358 \nL 346.265094 31.583641 \nL 338.124875 31.614949 \nL 328.346577 34.350596 \nL 317.34025 39.195253 \nL 305.530941 45.517312 \nL 293.32189 52.729366 \nL 281.068246 60.33895 \nL 246.627045 82.343822 \nL 197.410035 113.903114 \nL 186.718658 121.132449 \nL 178.175473 127.233649 \nL 171.301407 132.427899 \nL 158.724899 142.244015 \nL 154.688538 145.031771 \nL 152.760303 146.183415 \nL 150.861481 147.169391 \nL 148.973042 147.985146 \nL 147.078877 148.625244 \nL 145.165657 149.083523 \nL 143.222743 149.353323 \nL 141.242119 149.427708 \nL 139.218354 149.299702 \nL 137.148623 148.962597 \nL 135.032718 148.410299 \nL 132.873111 147.637727 \nL 130.675017 146.641254 \nL 128.446469 145.419243 \nL 126.198353 143.972567 \nL 123.944471 142.305224 \nL 121.701496 140.424897 \nL 119.488903 138.343539 \nL 117.328776 136.077845 \nL 115.245566 133.649631 \nL 113.26567 131.086044 \nL 111.416898 128.41952 \nL 109.727809 125.687452 \nL 108.226891 122.931607 \nL 106.941686 120.197147 \nL 105.897767 117.531388 \nL 105.117756 114.982249 \nL 104.620313 112.596577 \nL 104.419266 110.418347 \nL 104.522856 108.486974 \nL 104.933205 106.835744 \nL 105.646052 105.490636 \nL 106.650764 104.469514 \nL 107.930633 103.781766 \nL 109.463421 103.428452 \nL 111.222163 103.402838 \nL 113.176128 103.691344 \nL 115.291874 104.274692 \nL 117.534345 105.129218 \nL 119.867951 106.228207 \nL 122.257554 107.543184 \nL 124.669331 109.045042 \nL 127.071493 110.704988 \nL 129.434815 112.495305 \nL 131.733017 114.389878 \nL 133.942987 116.36454 \nL 136.044844 118.397243 \nL 138.021898 120.468114 \nL 139.86051 122.559367 \nL 141.549875 124.655174 \nL 143.08176 126.74147 \nL 144.450212 128.805739 \nL 145.651252 130.836797 \nL 146.682567 132.824547 \nL 147.543221 134.759796 \nL 148.233381 136.634018 \nL 148.75408 138.439194 \nL 149.106985 140.167651 \nL 149.294223 141.811905 \nL 149.318236 143.364533 \nL 149.181645 144.81807 \nL 148.887185 146.164909 \nL 148.437636 147.397206 \nL 147.835811 148.506835 \nL 147.084554 149.485329 \nL 146.186792 150.323857 \nL 145.145582 151.013222 \nL 143.964226 151.543886 \nL 142.646373 151.906003 \nL 141.196193 152.089534 \nL 139.618524 152.084377 \nL 137.919085 151.880551 \nL 136.104696 151.468449 \nL 134.183513 150.839163 \nL 132.165276 149.984867 \nL 130.061552 148.899293 \nL 127.885986 147.57824 \nL 125.654521 146.020226 \nL 123.385582 144.227115 \nL 121.100187 142.204813 \nL 118.821991 139.963939 \nL 116.577251 137.520426 \nL 114.3946 134.896051 \nL 112.30472 132.118724 \nL 110.339823 129.222549 \nL 108.532992 126.247577 \nL 106.917315 123.239164 \nL 105.524908 120.24695 \nL 104.385802 117.323466 \nL 103.526791 114.522353 \nL 102.970293 111.896389 \nL 102.733285 109.495388 \nL 102.826431 107.364121 \nL 103.253423 105.540468 \nL 104.010642 104.053949 \nL 105.087146 102.924733 \nL 106.464993 102.163202 \nL 108.119885 101.770113 \nL 110.022083 101.737255 \nL 112.137545 102.048573 \nL 114.429162 102.681581 \nL 116.858037 103.608941 \nL 119.38476 104.800055 \nL 121.97052 106.222571 \nL 124.578122 107.843699 \nL 127.172773 109.631317 \nL 129.722702 111.554797 \nL 132.199549 113.585577 \nL 134.578582 115.697526 \nL 136.838757 117.867076 \nL 138.962629 120.073226 \nL 140.936173 122.297422 \nL 142.748499 124.523359 \nL 144.391547 126.736733 \nL 145.859725 128.924971 \nL 147.149567 131.076973 \nL 148.25937 133.182827 \nL 149.188852 135.233586 \nL 149.938856 137.221011 \nL 150.511073 139.137382 \nL 150.907789 140.97533 \nL 151.131689 142.727659 \nL 151.18568 144.387195 \nL 151.072772 145.946692 \nL 150.795971 147.398689 \nL 150.358226 148.735443 \nL 149.762387 149.948852 \nL 149.011228 151.030359 \nL 148.107471 151.970953 \nL 147.053852 152.761112 \nL 145.853218 153.390819 \nL 144.508652 153.849586 \nL 143.023637 154.126534 \nL 141.40223 154.210487 \nL 139.649275 154.090155 \nL 137.770655 153.754351 \nL 135.773542 153.192313 \nL 133.66669 152.394068 \nL 131.460718 151.35092 \nL 129.168417 150.056018 \nL 126.805023 148.505017 \nL 124.388488 146.696808 \nL 121.939667 144.634328 \nL 119.48246 142.325375 \nL 117.043824 139.783412 \nL 114.653676 137.028256 \nL 112.344619 134.086649 \nL 110.151483 130.992532 \nL 108.110644 127.787 \nL 106.259172 124.517838 \nL 104.633751 121.238582 \nL 103.269472 118.007081 \nL 102.198457 114.883627 \nL 101.448535 111.928702 \nL 101.041895 109.200461 \nL 100.993944 106.752259 \nL 101.312408 104.630273 \nL 101.996752 102.871504 \nL 103.037987 101.502389 \nL 104.418908 100.538037 \nL 106.114715 99.982189 \nL 108.094018 99.82785 \nL 110.320049 100.058507 \nL 112.752137 100.649796 \nL 115.347204 101.571349 \nL 118.061242 102.788747 \nL 120.850717 104.265344 \nL 123.673754 105.963918 \nL 126.491114 107.848034 \nL 129.266956 109.883033 \nL 131.969325 112.036767 \nL 134.570415 114.280014 \nL 137.046664 116.586641 \nL 139.378652 118.93361 \nL 141.550883 121.300796 \nL 143.551469 123.670757 \nL 145.371751 126.028403 \nL 147.0059 128.360693 \nL 148.45048 130.656288 \nL 149.704044 132.905238 \nL 150.766737 135.0987 \nL 151.639938 137.228656 \nL 152.325933 139.287702 \nL 152.827634 141.268812 \nL 153.148331 143.165175 \nL 153.291507 144.970016 \nL 153.260658 146.676494 \nL 153.059192 148.277528 \nL 152.690344 149.765722 \nL 152.157127 151.133248 \nL 151.462314 152.371802 \nL 150.608476 153.472485 \nL 149.598026 154.425786 \nL 148.433301 155.221552 \nL 147.116685 155.848962 \nL 145.650756 156.296553 \nL 144.038467 156.552317 \nL 142.283362 156.603776 \nL 140.389815 156.438185 \nL 138.363317 156.042761 \nL 136.210775 155.405026 \nL 133.940843 154.513251 \nL 131.56428 153.356956 \nL 129.09429 151.927627 \nL 126.546874 150.219427 \nL 123.941144 148.230117 \nL 121.299574 145.961983 \nL 118.648194 143.422852 \nL 116.016637 140.627059 \nL 113.438027 137.596332 \nL 110.948673 134.360497 \nL 108.587565 130.957837 \nL 106.395592 127.435074 \nL 104.4145 123.846796 \nL 102.685627 120.254347 \nL 101.24844 116.724034 \nL 100.138927 113.324838 \nL 99.387947 110.125602 \nL 99.019717 107.192014 \nL 99.050424 104.583551 \nL 99.487209 102.350686 \nL 100.327577 100.532602 \nL 101.559251 99.15567 \nL 103.16057 98.232778 \nL 105.101373 97.763543 \nL 107.344234 97.735373 \nL 109.846082 98.125152 \nL 112.559925 98.901399 \nL 115.436664 100.026644 \nL 118.426836 101.459752 \nL 121.482147 103.158097 \nL 124.556802 105.079347 \nL 127.608542 107.182953 \nL 130.599377 109.431127 \nL 133.496013 111.78951 \nL 136.270066 114.227483 \nL 138.898023 116.718198 \nL 141.361038 119.23844 \nL 143.64459 121.768318 \nL 145.738065 124.290904 \nL 147.634272 126.791838 \nL 149.328957 129.258899 \nL 150.820293 131.68163 \nL 152.108415 134.050978 \nL 153.194977 136.358955 \nL 154.082759 138.598365 \nL 154.775311 140.762557 \nL 155.276646 142.845198 \nL 155.591006 144.840077 \nL 155.722635 146.740975 \nL 155.675631 148.541492 \nL 155.453822 150.234918 \nL 155.060689 151.814136 \nL 154.499323 153.27151 \nL 153.772421 154.598792 \nL 152.8823 155.787045 \nL 151.830975 156.826557 \nL 150.62023 157.706822 \nL 149.251754 158.416473 \nL 147.727295 158.943319 \nL 146.048847 159.274338 \nL 144.218881 159.395799 \nL 142.24062 159.293389 \nL 140.118317 158.952428 \nL 137.857622 158.358182 \nL 135.465937 157.496307 \nL 132.952823 156.35339 \nL 130.33043 154.917621 \nL 127.613911 153.179654 \nL 124.821832 151.133564 \nL 121.976548 148.777975 \nL 119.104494 146.117249 \nL 116.236352 143.162735 \nL 113.407059 139.933942 \nL 110.655596 136.459557 \nL 108.024527 132.778169 \nL 105.559259 128.93852 \nL 103.30693 124.999187 \nL 101.315044 121.02756 \nL 99.629779 117.098016 \nL 98.294124 113.28932 \nL 97.345897 109.681436 \nL 96.815795 106.351831 \nL 96.725643 103.371673 \nL 97.087024 100.80224 \nL 97.900345 98.691908 \nL 99.154526 97.074005 \nL 100.827338 95.965754 \nL 102.886283 95.368379 \nL 105.290088 95.268236 \nL 107.990542 95.638897 \nL 110.934601 96.443791 \nL 114.066569 97.639153 \nL 117.330207 99.176931 \nL 120.670616 101.007482 \nL 124.035827 103.081789 \nL 127.378041 105.353243 \nL 130.654511 107.778854 \nL 133.828046 110.319955 \nL 136.867218 112.942542 \nL 139.746301 115.617247 \nL 142.444981 118.319088 \nL 144.947956 121.027043 \nL 147.244393 123.723603 \nL 149.32735 126.394213 \nL 151.19318 129.026798 \nL 152.840938 131.611283 \nL 154.271836 134.139132 \nL 155.48871 136.603007 \nL 156.495573 138.99643 \nL 157.297209 141.313496 \nL 157.898823 143.548648 \nL 158.30576 145.696478 \nL 158.523271 147.751533 \nL 158.556312 149.708177 \nL 158.409436 151.560459 \nL 158.086672 153.301976 \nL 157.591478 154.925773 \nL 156.926726 156.424234 \nL 156.0947 157.788976 \nL 155.097155 159.010757 \nL 153.935387 160.079395 \nL 152.610343 160.983705 \nL 151.122765 161.71144 \nL 149.473364 162.249271 \nL 147.663031 162.582788 \nL 145.693103 162.696594 \nL 143.565651 162.574406 \nL 141.283823 162.199267 \nL 138.852235 161.553877 \nL 136.277411 160.621044 \nL 133.568241 159.384279 \nL 130.7365 157.828561 \nL 127.797363 155.941307 \nL 124.769928 153.713513 \nL 121.677679 151.141095 \nL 118.548899 148.226366 \nL 115.416955 144.979594 \nL 112.320346 141.420509 \nL 109.302583 137.579702 \nL 106.411681 133.499608 \nL 103.699319 129.235026 \nL 101.219604 124.852857 \nL 99.027412 120.430932 \nL 97.176371 116.055853 \nL 95.716555 111.819804 \nL 94.692052 107.816525 \nL 94.138548 104.136668 \nL 94.081177 100.862999 \nL 94.532783 98.065847 \nL 95.492862 95.799435 \nL 96.947212 94.099301 \nL 98.868436 92.981214 \nL 101.217156 92.441594 \nL 103.943949 92.459295 \nL 106.991687 92.998475 \nL 110.298192 94.012114 \nL 113.798895 95.445825 \nL 117.429364 97.241471 \nL 121.127518 99.340378 \nL 124.835392 101.68594 \nL 128.500513 104.225491 \nL 132.076751 106.911525 \nL 135.524764 109.702286 \nL 138.812072 112.561901 \nL 141.912846 115.460143 \nL 144.807444 118.371953 \nL 147.481836 121.276827 \nL 149.926894 124.158152 \nL 152.137682 127.002534 \nL 154.112722 129.799198 \nL 155.853312 132.539399 \nL 157.362873 135.21597 \nL 158.646375 137.822893 \nL 159.709828 140.354943 \nL 160.559846 142.807412 \nL 161.203275 145.17588 \nL 161.646893 147.455994 \nL 161.897168 149.643294 \nL 161.960062 151.733102 \nL 161.8409 153.720355 \nL 161.544275 155.599485 \nL 161.073981 157.36433 \nL 160.433005 159.007992 \nL 159.623523 160.522738 \nL 158.646952 161.8999 \nL 157.504015 163.129756 \nL 156.194837 164.201427 \nL 154.719078 165.102791 \nL 153.076103 165.820383 \nL 151.265172 166.339383 \nL 149.285682 166.643553 \nL 147.137472 166.715316 \nL 144.821138 166.535842 \nL 142.338443 166.085246 \nL 139.692753 165.342948 \nL 136.889567 164.288127 \nL 133.937073 162.900392 \nL 130.84676 161.160702 \nL 127.634075 159.052475 \nL 124.31907 156.563005 \nL 120.927024 153.685076 \nL 117.489012 150.418871 \nL 114.042264 146.773929 \nL 110.630379 142.771186 \nL 107.303172 138.444801 \nL 104.116159 133.843573 \nL 101.12955 129.031678 \nL 98.406743 124.088456 \nL 96.012243 119.106932 \nL 94.00914 114.191028 \nL 92.456171 109.451364 \nL 91.404638 104.999949 \nL 90.895368 100.944082 \nL 90.955993 97.380117 \nL 91.598925 94.387731 \nL 92.820114 92.025349 \nL 94.598882 90.327396 \nL 96.898813 89.303462 \nL 99.669563 88.939556 \nL 102.849516 89.201061 \nL 106.368936 90.036938 \nL 110.153354 91.384648 \nL 114.126869 93.175031 \nL 118.215166 95.33686 \nL 122.34804 97.800553 \nL 126.461318 100.501026 \nL 130.498223 103.379529 \nL 134.410097 106.384641 \nL 138.156658 109.472558 \nL 141.705821 112.606834 \nL 145.033203 115.757778 \nL 148.121421 118.901632 \nL 150.959254 122.019699 \nL 153.540741 125.097435 \nL 155.864277 128.123636 \nL 157.931747 131.08969 \nL 159.747721 133.988965 \nL 161.318729 136.816268 \nL 162.65263 139.567415 \nL 163.75806 142.238895 \nL 164.643977 144.827581 \nL 165.319288 147.330504 \nL 165.792536 149.74469 \nL 166.071671 152.066991 \nL 166.163865 154.293952 \nL 166.075384 156.421699 \nL 165.811503 158.445848 \nL 165.376448 160.361357 \nL 164.773387 162.162457 \nL 164.004443 163.842507 \nL 163.070711 165.393881 \nL 161.972345 166.807853 \nL 160.708618 168.074452 \nL 159.278049 169.182339 \nL 157.678539 170.118666 \nL 155.907535 170.868953 \nL 153.962246 171.416993 \nL 151.839898 171.744769 \nL 149.538036 171.832416 \nL 147.054881 171.65828 \nL 144.38977 171.199054 \nL 141.54366 170.43006 \nL 138.519706 169.325693 \nL 135.323937 167.86011 \nL 131.96599 166.008173 \nL 128.459931 163.746689 \nL 124.825086 161.056071 \nL 121.086912 157.922283 \nL 117.277757 154.339192 \nL 113.437563 150.311179 \nL 109.614239 145.855869 \nL 105.863757 141.0068 \nL 102.249744 135.815651 \nL 98.842455 130.353735 \nL 95.717092 124.712221 \nL 92.951352 119.000818 \nL 90.622284 113.34452 \nL 88.802576 107.878423 \nL 87.556488 102.740771 \nL 86.935827 98.064814 \nL 86.976271 93.970281 \nL 87.694551 90.555507 \nL 89.086763 87.891222 \nL 91.128073 86.016751 \nL 93.773905 84.939176 \nL 96.962407 84.635265 \nL 100.617994 85.055968 \nL 104.655575 86.132395 \nL 108.984988 87.78264 \nL 113.515253 89.918423 \nL 118.158381 92.451009 \nL 122.832419 95.295812 \nL 127.463728 98.37573 \nL 131.988396 101.623037 \nL 136.352909 104.980171 \nL 140.514204 108.399652 \nL 144.439214 111.843361 \nL 148.104067 115.281453 \nL 151.493057 118.691127 \nL 154.597512 122.055351 \nL 157.414611 125.361686 \nL 159.946279 128.601272 \nL 162.1981 131.767889 \nL 164.17839 134.857279 \nL 165.897356 137.866525 \nL 167.366365 140.793616 \nL 168.59736 143.637098 \nL 169.602353 146.395786 \nL 170.393036 149.068587 \nL 170.980468 151.654334 \nL 171.374831 154.15166 \nL 171.585263 156.5589 \nL 171.61973 158.873986 \nL 171.484945 161.094393 \nL 171.186328 163.21702 \nL 170.727984 165.238126 \nL 170.112711 167.153215 \nL 169.342028 168.956936 \nL 168.41621 170.642947 \nL 167.334357 172.203804 \nL 166.094455 173.630769 \nL 164.693476 174.913692 \nL 163.127484 176.040803 \nL 161.39177 176.998534 \nL 159.481015 177.771326 \nL 157.389496 178.341441 \nL 155.111341 178.688812 \nL 152.640823 178.790888 \nL 149.972743 178.622589 \nL 147.102889 178.156311 \nL 144.028597 177.362104 \nL 140.749398 176.20803 \nL 137.267819 174.660761 \nL 133.590273 172.686559 \nL 129.728079 170.252604 \nL 125.698576 167.328852 \nL 121.526316 163.890416 \nL 117.24422 159.920521 \nL 112.894658 155.413973 \nL 108.530307 150.381009 \nL 104.214608 144.851301 \nL 100.021639 138.877609 \nL 96.035263 132.538653 \nL 92.347261 125.94046 \nL 89.054437 119.215514 \nL 86.254648 112.519216 \nL 84.041859 106.023271 \nL 82.500595 99.906273 \nL 81.700224 94.342128 \nL 81.689666 89.487673 \nL 82.493201 85.470989 \nL 84.10795 82.382172 \nL 86.503321 80.267841 \nL 89.622648 79.130138 \nL 93.386755 78.93012 \nL 97.699013 79.594818 \nL 102.451279 81.026462 \nL 107.530086 83.112586 \nL 112.822417 85.735555 \nL 118.220665 88.780548 \nL 123.626478 92.14149 \nL 128.95338 95.72484 \nL 134.128257 99.451334 \nL 139.091797 103.256298 \nL 143.798145 107.088723 \nL 148.213969 110.909733 \nL 152.317148 114.690709 \nL 156.095241 118.411385 \nL 159.543926 122.058049 \nL 162.665425 125.621937 \nL 165.467078 129.09793 \nL 167.960034 132.483472 \nL 170.158122 135.77776 \nL 172.076871 138.981082 \nL 173.732719 142.094393 \nL 175.142346 145.118967 \nL 176.322164 148.056182 \nL 177.287907 150.907357 \nL 178.054332 153.673642 \nL 178.634996 156.355964 \nL 179.042112 158.954964 \nL 179.286445 161.470967 \nL 179.377262 163.903927 \nL 179.322305 166.253421 \nL 179.127802 168.518579 \nL 178.798476 170.698071 \nL 178.337587 172.790003 \nL 177.746962 174.791877 \nL 177.027039 176.700487 \nL 176.176915 178.511835 \nL 175.194387 180.220973 \nL 174.076009 181.821887 \nL 172.817132 183.30733 \nL 171.411964 184.668623 \nL 169.853642 185.895432 \nL 168.134297 186.975542 \nL 166.245163 187.894574 \nL 164.176694 188.63569 \nL 161.918736 189.179295 \nL 159.460732 189.502717 \nL 156.792018 189.579896 \nL 153.902166 189.381117 \nL 150.781468 188.872814 \nL 147.421524 188.017509 \nL 143.815995 186.773931 \nL 139.961521 185.097436 \nL 135.858838 182.940827 \nL 131.514103 180.255725 \nL 126.940426 176.99461 \nL 122.159593 173.113712 \nL 117.20389 168.57686 \nL 112.117925 163.360336 \nL 106.960337 157.458627 \nL 101.805084 150.8909 \nL 96.742009 143.707503 \nL 91.876425 135.995786 \nL 87.327256 127.884024 \nL 83.223512 119.542199 \nL 79.698894 111.178328 \nL 76.884691 103.029593 \nL 74.901321 95.348055 \nL 73.849333 88.382215 \nL 73.800861 82.356414 \nL 74.792704 77.451188 \nL 76.822122 73.787789 \nL 79.845994 71.419608 \nL 83.783597 70.331545 \nL 88.522562 70.4474 \nL 93.927187 71.642992 \nL 99.847907 73.7627 \nL 106.130805 76.636285 \nL 112.626137 80.093791 \nL 119.195158 83.976977 \nL 125.715007 88.146756 \nL 132.08157 92.486852 \nL 138.2106 96.904587 \nL 144.03743 101.329277 \nL 149.515638 105.70959 \nL 154.615094 110.010169 \nL 159.319664 114.208327 \nL 163.624797 118.290938 \nL 167.535235 122.251809 \nL 171.062858 126.089545 \nL 174.224809 129.805887 \nL 177.041866 133.404479 \nL 179.537094 136.889992 \nL 181.734749 140.267507 \nL 183.659401 143.542151 \nL 185.335271 146.718834 \nL 186.785721 149.802149 \nL 188.032903 152.796286 \nL 189.09751 155.705063 \nL 189.998634 158.531915 \nL 191.378384 163.951912 \nL 192.29124 169.077594 \nL 192.830515 173.926605 \nL 193.066186 178.513796 \nL 193.047822 182.851792 \nL 192.807423 186.951286 \nL 192.361852 190.821014 \nL 191.714722 194.467544 \nL 190.857649 197.894772 \nL 189.770887 201.103088 \nL 188.423356 204.088144 \nL 186.772095 206.838981 \nL 185.815635 208.120693 \nL 184.761183 209.335312 \nL 183.599472 210.478191 \nL 182.320212 211.543504 \nL 180.912031 212.524017 \nL 179.362409 213.410798 \nL 177.657623 214.192906 \nL 175.782698 214.856973 \nL 173.72138 215.386756 \nL 171.456133 215.762603 \nL 168.968183 215.960823 \nL 166.23762 215.952986 \nL 163.24358 215.705159 \nL 159.964548 215.177069 \nL 156.378802 214.321261 \nL 152.465074 213.082281 \nL 148.203463 211.396046 \nL 143.576673 209.189475 \nL 138.571656 206.380697 \nL 133.181742 202.880056 \nL 127.409301 198.592376 \nL 121.269005 193.420957 \nL 114.791658 187.273809 \nL 108.028448 180.072672 \nL 101.055414 171.765073 \nL 93.977612 162.339339 \nL 86.932297 151.841646 \nL 80.09016 140.393197 \nL 73.653517 128.204374 \nL 67.850321 115.581461 \nL 62.923234 102.921432 \nL 59.113722 90.691034 \nL 56.642191 79.389365 \nL 55.686382 69.497333 \nL 56.361412 61.422266 \nL 58.70504 55.448746 \nL 62.671235 51.706924 \nL 68.133466 50.165243 \nL 74.89723 50.64818 \nL 82.719309 52.87316 \nL 91.330234 56.496679 \nL 100.456326 61.159556 \nL 109.838379 66.523491 \nL 119.245347 72.295308 \nL 128.482626 78.238745 \nL 137.395413 84.176172 \nL 145.868201 89.983488 \nL 153.821645 95.58141 \nL 161.207911 100.925557 \nL 168.005375 105.997063 \nL 174.213346 110.794491 \nL 179.84717 115.327391 \nL 184.933941 119.611493 \nL 189.50889 123.665322 \nL 193.612452 127.50789 \nL 197.287942 131.1573 \nL 200.57977 134.629953 \nL 203.532119 137.940144 \nL 208.588564 144.119365 \nL 212.777069 149.766774 \nL 222.753999 163.824432 \nL 225.906859 167.541367 \nL 227.544288 169.201543 \nL 229.245354 170.720251 \nL 231.025969 172.088686 \nL 232.901128 173.296382 \nL 234.884986 174.331091 \nL 236.99087 175.178613 \nL 239.231262 175.822662 \nL 241.617705 176.244725 \nL 244.160659 176.42397 \nL 246.869255 176.337203 \nL 249.750977 175.958916 \nL 252.811238 175.261465 \nL 256.052844 174.215428 \nL 259.475344 172.790175 \nL 263.074276 170.954782 \nL 266.84027 168.679271 \nL 270.75809 165.936295 \nL 274.805619 162.703292 \nL 278.952809 158.965183 \nL 283.160753 154.71746 \nL 287.380956 149.969644 \nL 291.554924 144.748871 \nL 295.614288 139.103156 \nL 299.48157 133.10405 \nL 303.071847 126.847889 \nL 306.295285 120.455274 \nL 309.060716 114.068074 \nL 311.279979 107.843862 \nL 312.872945 101.947779 \nL 313.772708 96.542422 \nL 313.93044 91.776742 \nL 313.319394 87.775463 \nL 311.937512 84.630251 \nL 309.808238 82.394056 \nL 306.979491 81.079299 \nL 303.520785 80.659973 \nL 299.51893 81.077194 \nL 295.072798 82.24699 \nL 290.287719 84.069255 \nL 285.270098 86.436441 \nL 280.122654 89.241248 \nL 274.940599 92.382518 \nL 269.808894 95.769276 \nL 264.800538 99.322983 \nL 259.975878 102.978211 \nL 255.382654 106.682286 \nL 251.056673 110.394092 \nL 247.022891 114.082541 \nL 243.296727 117.724861 \nL 239.885513 121.304977 \nL 236.789921 124.811962 \nL 234.005335 128.238782 \nL 231.523103 131.581228 \nL 229.331654 134.837061 \nL 227.417459 138.005372 \nL 225.765837 141.086074 \nL 224.361635 144.079551 \nL 223.189762 146.986386 \nL 222.235617 149.807201 \nL 221.485414 152.542493 \nL 220.926429 155.19256 \nL 220.547171 157.757429 \nL 220.3375 160.236795 \nL 220.288703 162.629969 \nL 220.393525 164.935832 \nL 220.646186 167.152765 \nL 221.042367 169.278607 \nL 221.579194 171.310545 \nL 222.255194 173.245067 \nL 223.070259 175.077819 \nL 224.0256 176.803501 \nL 225.123685 178.415739 \nL 226.368187 179.906899 \nL 227.763913 181.267929 \nL 229.316718 182.488116 \nL 231.033414 183.554903 \nL 232.921651 184.453611 \nL 234.989768 185.16719 \nL 237.246591 185.675942 \nL 239.701207 185.957267 \nL 242.362645 185.985418 \nL 245.239478 185.731314 \nL 248.339341 185.162458 \nL 251.668301 184.242987 \nL 255.230104 182.933952 \nL 259.025259 181.193889 \nL 263.049935 178.979797 \nL 267.294699 176.248696 \nL 271.743084 172.959737 \nL 276.370025 169.077192 \nL 281.140267 164.574165 \nL 286.006794 159.437211 \nL 290.909551 153.671585 \nL 295.774557 147.306842 \nL 300.513816 140.40223 \nL 305.026169 133.051099 \nL 309.199543 125.383244 \nL 312.914641 117.564208 \nL 316.050221 109.790574 \nL 318.489728 102.280741 \nL 320.128888 95.26148 \nL 320.883503 88.951421 \nL 320.696537 83.543452 \nL 319.543578 79.188639 \nL 317.435803 75.984217 \nL 314.41996 73.967617 \nL 310.575389 73.117311 \nL 306.00839 73.359851 \nL 300.844767 74.58168 \nL 295.221525 76.643213 \nL 289.278648 79.393097 \nL 283.151838 82.68063 \nL 276.966633 86.36529 \nL 270.834284 90.323033 \nL 264.849291 94.449448 \nL 259.088422 98.660371 \nL 253.610995 102.890756 \nL 248.459976 107.092455 \nL 243.663704 111.231452 \nL 239.237875 115.285051 \nL 235.187654 119.239234 \nL 231.509724 123.086395 \nL 228.194187 126.82348 \nL 225.226263 130.450482 \nL 222.587751 133.96935 \nL 220.258277 137.383186 \nL 218.2163 140.695655 \nL 216.439921 143.910602 \nL 214.907527 147.031826 \nL 213.598262 150.062926 \nL 212.492382 153.007231 \nL 211.571498 155.867764 \nL 210.818731 158.647244 \nL 210.218804 161.34809 \nL 209.758081 163.972427 \nL 209.207847 168.998827 \nL 209.090985 173.73851 \nL 209.354323 178.199771 \nL 209.966452 182.387007 \nL 210.915707 186.300046 \nL 212.208567 189.932961 \nL 212.990564 191.640491 \nL 213.868603 193.272154 \nL 214.848221 194.824585 \nL 215.935991 196.293527 \nL 217.139535 197.67367 \nL 218.467533 198.958444 \nL 219.92974 200.139807 \nL 221.536993 201.207977 \nL 223.301216 202.151125 \nL 225.235401 202.95502 \nL 227.353576 203.602619 \nL 229.670727 204.073605 \nL 232.202682 204.343884 \nL 234.965914 204.385047 \nL 237.977268 204.163783 \nL 241.253562 203.641324 \nL 244.811042 202.772957 \nL 248.664634 201.50764 \nL 252.826966 199.787891 \nL 257.307111 197.55007 \nL 262.108991 194.725246 \nL 267.229405 191.240929 \nL 272.655684 187.023968 \nL 278.362952 182.004907 \nL 284.311117 176.124115 \nL 290.441766 169.339883 \nL 296.675183 161.638414 \nL 302.908007 153.04517 \nL 309.012073 143.636649 \nL 314.835141 133.550694 \nL 320.204186 122.992978 \nL 324.931854 112.236862 \nL 328.826304 101.614033 \nL 331.704093 91.494608 \nL 333.405024 82.257457 \nL 333.807174 74.254 \nL 332.839839 67.771575 \nL 330.492234 63.003158 \nL 326.816213 60.029546 \nL 321.92242 58.817611 \nL 315.970538 59.233913 \nL 309.155285 61.0699 \nL 301.690421 64.072677 \nL 293.79314 67.975267 \nL 285.670605 72.521678 \nL 277.509798 77.484391 \nL 269.471013 82.673951 \nL 261.684745 87.941781 \nL 254.251385 93.178131 \nL 247.242964 98.307105 \nL 240.706163 103.280381 \nL 234.666016 108.070796 \nL 229.129766 112.666598 \nL 224.090591 117.066574 \nL 219.530984 121.276253 \nL 215.425698 125.305041 \nL 211.744214 129.16421 \nL 208.45276 132.86551 \nL 205.515906 136.420346 \nL 202.897798 139.839253 \nL 200.563076 143.131657 \nL 198.477536 146.305776 \nL 194.925457 152.326266 \nL 192.004023 157.944492 \nL 188.363999 165.678378 \nL 185.120197 172.621379 \nL 182.951365 176.813079 \nL 180.642433 180.641935 \nL 179.402279 182.412966 \nL 178.087938 184.08263 \nL 176.686752 185.645203 \nL 175.186017 187.09366 \nL 173.572891 188.419454 \nL 171.834307 189.61229 \nL 169.956927 190.659868 \nL 167.927121 191.547577 \nL 165.730984 192.258189 \nL 163.354414 192.771487 \nL 160.783238 193.063916 \nL 158.003434 193.108208 \nL 155.001435 192.873055 \nL 151.764559 192.322838 \nL 148.281593 191.41748 \nL 144.543528 190.112493 \nL 140.544512 188.35935 \nL 136.283032 186.106252 \nL 131.763321 183.299527 \nL 126.997049 179.885753 \nL 122.005189 175.814873 \nL 116.820099 171.04438 \nL 111.487625 165.544736 \nL 106.069066 159.305904 \nL 100.642763 152.344733 \nL 95.304904 144.712578 \nL 90.16919 136.502252 \nL 85.364914 127.85285 \nL 81.033068 118.950947 \nL 77.320329 110.026636 \nL 74.370967 101.343324 \nL 72.317195 93.181174 \nL 71.268835 85.81547 \nL 71.303585 79.492608 \nL 72.459195 74.407458 \nL 74.728932 70.685864 \nL 78.060971 68.37559 \nL 82.36202 67.447034 \nL 87.504583 67.80294 \nL 93.336737 69.294866 \nL 99.693088 71.742771 \nL 106.40545 74.954427 \nL 113.31223 78.742005 \nL 120.265692 82.934193 \nL 127.136893 87.383541 \nL 133.818354 91.969565 \nL 140.224807 96.598589 \nL 146.292427 101.201242 \nL 151.977038 105.728947 \nL 157.251698 110.149877 \nL 162.104043 114.445117 \nL 166.533587 118.605222 \nL 170.549173 122.627389 \nL 174.16669 126.513215 \nL 177.407076 130.266988 \nL 180.294638 133.894477 \nL 182.855672 137.402113 \nL 185.117361 140.7964 \nL 187.106924 144.083599 \nL 188.850959 147.269544 \nL 190.374983 150.359556 \nL 191.703104 153.35843 \nL 192.857818 156.27046 \nL 194.728349 161.84891 \nL 196.131739 167.121065 \nL 197.186356 172.108349 \nL 197.98667 176.828828 \nL 198.868268 183.443221 \nL 200.0911 195.155891 \nL 201.070769 203.550261 \nL 201.803498 208.054982 \nL 202.735966 212.189573 \nL 203.511487 214.748051 \nL 204.446509 217.150463 \nL 205.579231 219.395236 \nL 206.956035 221.476197 \nL 208.633582 223.380538 \nL 210.681257 225.0857 \nL 211.869737 225.852778 \nL 213.183972 226.554747 \nL 214.637516 227.183614 \nL 216.245294 227.729444 \nL 218.023699 228.179958 \nL 219.990684 228.520027 \nL 222.165825 228.73107 \nL 224.570364 228.790354 \nL 227.227198 228.670165 \nL 230.16079 228.336849 \nL 233.396993 227.749739 \nL 236.962709 226.859968 \nL 240.885369 225.609226 \nL 245.192137 223.92854 \nL 249.908749 221.737216 \nL 255.057926 218.942181 \nL 260.657184 215.438038 \nL 266.715979 211.108338 \nL 273.232029 205.828676 \nL 280.186768 199.47242 \nL 287.539957 191.919936 \nL 295.223648 183.072115 \nL 303.135896 172.868684 \nL 311.135018 161.310916 \nL 319.03561 148.487047 \nL 326.607854 134.596645 \nL 333.581888 119.968089 \nL 339.658948 105.06177 \nL 344.52999 90.451671 \nL 347.901252 76.781132 \nL 349.524054 64.695178 \nL 349.224323 54.759572 \nL 346.926116 47.384089 \nL 342.664038 42.768748 \nL 336.581333 40.886814 \nL 328.914113 41.507345 \nL 319.965047 44.248828 \nL 310.072 48.647808 \nL 299.577342 54.22554 \nL 288.80237 60.540403 \nL 278.02926 67.220416 \nL 267.490954 73.976784 \nL 247.79044 86.963488 \nL 230.57309 98.622499 \nL 216.102975 108.770744 \nL 204.256125 117.544631 \nL 199.217683 121.487332 \nL 194.702939 125.172011 \nL 187.032284 131.865573 \nL 180.825419 137.786839 \nL 175.694722 143.042738 \nL 167.353865 151.761682 \nL 163.615987 155.240086 \nL 161.762469 156.748699 \nL 159.890653 158.095615 \nL 157.981882 159.273056 \nL 156.019564 160.271864 \nL 153.989077 161.081495 \nL 151.877739 161.690084 \nL 149.674801 162.084465 \nL 147.371515 162.250295 \nL 144.961255 162.172226 \nL 142.43969 161.834117 \nL 139.80503 161.219395 \nL 137.058333 160.311515 \nL 134.203845 159.094576 \nL 131.24941 157.554139 \nL 128.206907 155.678157 \nL 125.092655 153.45819 \nL 121.927856 150.890708 \nL 118.738883 147.97863 \nL 115.557539 144.732825 \nL 112.421048 141.173692 \nL 109.371862 137.332512 \nL 106.457127 133.252428 \nL 103.727781 128.988936 \nL 101.237272 124.609609 \nL 99.039874 120.19286 \nL 97.188621 115.825771 \nL 95.732986 111.60085 \nL 94.716423 107.611971 \nL 94.173948 103.949701 \nL 94.129975 100.696509 \nL 94.596621 97.922283 \nL 95.572643 95.680577 \nL 97.043115 94.006201 \nL 98.979973 92.914158 \nL 101.343262 92.400124 \nL 104.083053 92.442283 \nL 107.141854 93.004254 \nL 110.457225 94.038599 \nL 113.964468 95.490701 \nL 117.599118 97.302288 \nL 121.299151 99.414725 \nL 125.006765 101.771481 \nL 128.669665 104.320085 \nL 132.241962 107.013228 \nL 135.684565 109.809404 \nL 138.965257 112.67298 \nL 142.058453 115.57395 \nL 144.944751 118.487454 \nL 147.610329 121.393169 \nL 150.046248 124.274638 \nL 152.247734 127.118608 \nL 154.21344 129.914392 \nL 155.944766 132.65334 \nL 157.445212 135.328342 \nL 158.719815 137.933427 \nL 159.774621 140.46342 \nL 160.61627 142.913631 \nL 161.251613 145.27965 \nL 161.687426 147.557132 \nL 161.930165 149.741629 \nL 161.985771 151.828451 \nL 161.859547 153.812518 \nL 161.55605 155.688261 \nL 161.079044 157.449489 \nL 160.43148 159.089275 \nL 159.615503 160.599878 \nL 158.632493 161.972581 \nL 157.483142 163.197625 \nL 156.167547 164.264081 \nL 154.685346 165.15978 \nL 153.035875 165.871211 \nL 151.218392 166.383494 \nL 149.232289 166.680344 \nL 147.077404 166.744117 \nL 144.754356 166.555926 \nL 142.264933 166.095839 \nL 139.612561 165.343226 \nL 136.802799 164.277238 \nL 133.843924 162.877495 \nL 130.747534 161.124973 \nL 127.529217 159.003169 \nL 124.209184 156.49948 \nL 120.812909 153.606874 \nL 117.371676 150.32578 \nL 113.922943 146.666064 \nL 110.510545 142.649055 \nL 107.18455 138.309389 \nL 104.000693 133.696402 \nL 101.01938 128.874833 \nL 98.304138 123.924578 \nL 95.919562 118.939188 \nL 93.928717 114.022997 \nL 92.390226 109.286912 \nL 91.355165 104.843027 \nL 90.86401 100.798527 \nL 90.94397 97.249432 \nL 91.606921 94.274863 \nL 92.848267 91.932554 \nL 94.646761 90.256131 \nL 96.965425 89.254337 \nL 99.753428 88.912382 \nL 102.948754 89.194937 \nL 106.481359 90.05041 \nL 110.276588 91.41586 \nL 114.258457 93.221878 \nL 118.352676 95.397122 \nL 122.489137 97.872049 \nL 126.603855 100.581688 \nL 130.64026 103.467463 \nL 134.549945 106.478172 \nL 138.292891 109.570242 \nL 141.837266 112.707455 \nL 145.158942 115.860323 \nL 148.240763 119.005277 \nL 151.071715 122.123784 \nL 153.64601 125.201434 \nL 155.962197 128.227128 \nL 158.022281 131.192349 \nL 159.830931 134.090534 \nL 161.394756 136.916535 \nL 162.721661 139.666218 \nL 163.820328 142.336101 \nL 164.699736 144.923073 \nL 165.368797 147.424189 \nL 165.836056 149.836471 \nL 166.109449 152.156772 \nL 166.196131 154.381647 \nL 166.102345 156.507211 \nL 165.833337 158.529064 \nL 165.393308 160.442172 \nL 164.785394 162.240727 \nL 164.011679 163.918078 \nL 163.073233 165.466582 \nL 161.970173 166.877472 \nL 160.701745 168.140751 \nL 159.266437 169.245051 \nL 157.66212 170.177473 \nL 155.886219 170.923503 \nL 153.935928 171.466874 \nL 151.808455 171.789511 \nL 149.501334 171.871493 \nL 147.012794 171.6911 \nL 144.342181 171.224975 \nL 141.49047 170.448374 \nL 138.460863 169.335644 \nL 135.259444 167.860904 \nL 131.895926 165.998987 \nL 128.38447 163.72672 \nL 124.744532 161.024553 \nL 121.001705 157.878556 \nL 117.188533 154.282757 \nL 113.345133 150.24175 \nL 109.519645 145.773475 \nL 105.768269 140.911853 \nL 102.154858 135.709011 \nL 98.749879 130.236771 \nL 95.628729 124.586855 \nL 92.86922 118.869492 \nL 90.548466 113.210151 \nL 88.739121 107.744274 \nL 87.505316 102.610306 \nL 86.898605 97.941496 \nL 86.954333 93.857374 \nL 87.688808 90.455843 \nL 89.097638 87.807039 \nL 91.155494 85.9496 \nL 93.817293 84.889822 \nL 97.02073 84.603765 \nL 100.689844 85.041731 \nL 104.739252 86.13429 \nL 109.078589 87.799155 \nL 113.616793 89.947817 \nL 118.265867 92.491445 \nL 122.94394 95.345472 \nL 127.577502 98.43291 \nL 132.102821 101.686169 \nL 136.466594 105.047906 \nL 140.625977 108.470832 \nL 144.548116 111.917028 \nL 148.209348 115.356823 \nL 151.594158 118.767569 \nL 154.694041 122.132367 \nL 157.506333 125.438903 \nL 160.033071 128.678403 \nL 162.279955 131.844714 \nL 164.255381 134.933635 \nL 165.969614 137.942297 \nL 167.434073 140.868718 \nL 168.660732 143.711474 \nL 169.661629 146.469395 \nL 170.448465 149.141412 \nL 171.032297 151.726356 \nL 171.423309 154.222869 \nL 171.630627 156.629295 \nL 171.662205 158.943577 \nL 171.524738 161.16318 \nL 171.223625 163.285023 \nL 170.762956 165.305354 \nL 170.145502 167.219677 \nL 169.372759 169.022633 \nL 168.444981 170.707888 \nL 167.361243 172.267989 \nL 166.119505 173.694198 \nL 164.716716 174.976346 \nL 163.148914 176.102653 \nL 161.411362 177.059532 \nL 159.498719 177.831416 \nL 157.40524 178.400545 \nL 155.125023 178.746816 \nL 152.652316 178.847657 \nL 149.981894 178.677942 \nL 147.109527 178.210018 \nL 144.032521 177.413889 \nL 140.750402 176.257556 \nL 137.265675 174.707636 \nL 133.584746 172.730305 \nL 129.718936 170.292677 \nL 125.685602 167.364638 \nL 121.509316 163.921236 \nL 117.223046 159.945648 \nL 112.86923 155.43266 \nL 108.500625 150.392539 \nL 104.180786 144.855004 \nL 99.983936 138.87294 \nL 95.994088 132.525248 \nL 92.303181 125.918213 \nL 89.00821 119.184627 \nL 86.207201 112.480253 \nL 83.994274 105.97718 \nL 82.454067 99.854336 \nL 81.656015 94.285962 \nL 81.649027 89.429095 \nL 82.457337 85.411894 \nL 84.077927 82.324417 \nL 86.480016 80.213129 \nL 89.606721 79.079884 \nL 93.378613 78.885435 \nL 97.698802 79.55643 \nL 102.458909 80.994734 \nL 107.545248 83.087555 \nL 112.844632 85.717011 \nL 118.249322 88.76809 \nL 123.660894 92.134582 \nL 128.992839 95.722888 \nL 134.172031 99.453745 \nL 139.139188 103.262479 \nL 143.8485 107.098129 \nL 148.266699 110.921875 \nL 152.371737 114.705167 \nL 156.151254 118.427804 \nL 159.600996 122.076133 \nL 162.723264 125.641447 \nL 165.525465 129.118664 \nL 168.018815 132.505288 \nL 170.217195 135.800533 \nL 172.13619 139.004725 \nL 173.792282 142.11885 \nL 175.20219 145.144209 \nL 176.38236 148.082189 \nL 177.348554 150.93413 \nL 178.115556 153.701199 \nL 178.696949 156.384343 \nL 179.104961 158.984214 \nL 179.350376 161.501146 \nL 179.442476 163.93512 \nL 179.389018 166.285724 \nL 179.196242 168.552116 \nL 178.868887 170.732977 \nL 178.410222 172.826449 \nL 177.822086 174.830055 \nL 177.104931 176.740627 \nL 176.257863 178.554194 \nL 175.278693 180.265849 \nL 174.163981 181.869624 \nL 172.90909 183.35832 \nL 171.508235 184.723311 \nL 169.954554 185.954335 \nL 168.240183 187.039239 \nL 166.35635 187.963725 \nL 164.293498 188.711046 \nL 162.041458 189.261694 \nL 159.58964 189.593095 \nL 156.927332 189.679288 \nL 154.044052 189.490661 \nL 150.930004 188.99374 \nL 147.576677 188.151122 \nL 143.977591 186.921586 \nL 140.129197 185.260501 \nL 136.032008 183.120631 \nL 131.69191 180.453456 \nL 127.12169 177.21122 \nL 122.342753 173.349783 \nL 117.386944 168.832423 \nL 112.298416 163.634671 \nL 107.135314 157.7501 \nL 101.971105 151.196725 \nL 96.895193 144.023605 \nL 92.012552 136.316711 \nL 87.441901 128.202987 \nL 83.312273 119.851268 \nL 79.757648 111.468815 \nL 76.909915 103.292591 \nL 74.890397 95.575171 \nL 73.800828 88.566254 \nL 73.714735 82.492113 \nL 74.670422 77.535677 \nL 76.666611 73.820876 \nL 79.661501 71.403647 \nL 83.575408 70.271111 \nL 88.296641 70.348654 \nL 93.689797 71.513053 \nL 99.605246 73.608917 \nL 105.888681 76.46568 \nL 112.389731 79.912661 \nL 118.968879 83.790623 \nL 125.502394 87.959406 \nL 131.885315 92.301703 \nL 138.032586 96.723878 \nL 143.878808 101.154472 \nL 149.376945 105.541521 \nL 154.496358 109.849209 \nL 159.220511 114.054525 \nL 163.544564 118.144111 \nL 167.473048 122.111642 \nL 171.017711 125.955664 \nL 174.195628 129.67788 \nL 177.02756 133.281946 \nL 179.536596 136.77255 \nL 181.747044 140.15481 \nL 183.683551 143.433885 \nL 185.370424 146.61473 \nL 186.831129 149.701977 \nL 188.087922 152.699855 \nL 189.161606 155.612202 \nL 190.071384 158.44248 \nL 191.467604 163.868992 \nL 192.396525 169.000903 \nL 192.952276 173.85601 \nL 193.205628 178.449315 \nL 193.206941 182.793617 \nL 192.989031 186.899818 \nL 192.56964 190.776942 \nL 191.953354 194.431936 \nL 191.132907 197.8692 \nL 190.089853 201.089864 \nL 188.794645 204.090599 \nL 187.206133 206.861911 \nL 186.285614 208.156283 \nL 185.270537 209.385613 \nL 184.151959 210.545653 \nL 182.919939 211.631065 \nL 181.563471 212.635188 \nL 180.070423 213.549784 \nL 178.427477 214.364731 \nL 176.620068 215.06764 \nL 174.632356 215.643429 \nL 172.447204 216.073802 \nL 170.046199 216.336665 \nL 167.409729 216.405443 \nL 164.517134 216.248334 \nL 161.346946 215.827482 \nL 157.87728 215.098125 \nL 154.086407 214.007752 \nL 149.953558 212.49536 \nL 145.460028 210.490946 \nL 140.590662 207.915446 \nL 135.335805 204.681371 \nL 129.693761 200.694541 \nL 123.673844 195.857337 \nL 117.300029 190.074037 \nL 110.615119 183.258766 \nL 103.685198 175.346471 \nL 96.60406 166.306985 \nL 89.496933 156.161648 \nL 82.522631 145.001008 \nL 75.873073 133.000797 \nL 69.769007 120.432309 \nL 64.450987 107.66233 \nL 60.165157 95.13845 \nL 57.144482 83.357403 \nL 55.587242 72.818222 \nL 55.635722 63.966755 \nL 57.358901 57.141991 \nL 60.742462 52.536065 \nL 65.688347 50.177204 \nL 72.02415 49.938529 \nL 79.52042 51.569331 \nL 87.912639 54.739612 \nL 96.924094 59.087421 \nL 106.286259 64.259816 \nL 115.754657 69.94213 \nL 125.11918 75.874372 \nL 134.209172 81.856311 \nL 142.894216 87.744309 \nL 151.081765 93.443483 \nL 158.712864 98.897878 \nL 165.756944 104.080539 \nL 172.206413 108.984856 \nL 178.07154 113.617411 \nL 183.375888 117.992547 \nL 188.152429 122.128434 \nL 192.440343 126.04443 \nL 196.282458 129.759365 \nL 199.723282 133.290519 \nL 202.807508 136.653145 \nL 208.079705 142.922635 \nL 212.426909 148.646065 \nL 222.622625 162.890192 \nL 225.786162 166.665618 \nL 227.420177 168.355791 \nL 229.112578 169.905453 \nL 230.879621 171.306143 \nL 232.736589 172.547817 \nL 234.697865 173.618646 \nL 236.776967 174.504939 \nL 238.986539 175.190956 \nL 241.338277 175.658784 \nL 243.842784 175.888244 \nL 246.509363 175.85686 \nL 249.345712 175.539877 \nL 252.357529 174.91042 \nL 255.548003 173.939819 \nL 258.917199 172.598166 \nL 262.461331 170.855108 \nL 266.17191 168.681041 \nL 270.034824 166.048705 \nL 274.029325 162.935202 \nL 278.127051 159.324543 \nL 282.291062 155.210625 \nL 286.475116 150.600537 \nL 290.623201 145.518047 \nL 294.669558 140.006901 \nL 298.539361 134.133467 \nL 302.150145 127.988272 \nL 305.414174 121.685781 \nL 308.241725 115.361952 \nL 310.54526 109.169239 \nL 312.244215 103.269081 \nL 313.270051 97.82235 \nL 313.571125 92.978688 \nL 313.116794 88.865917 \nL 311.900217 85.581083 \nL 309.939566 83.184215 \nL 307.277319 81.695792 \nL 303.977825 81.098034 \nL 300.123355 81.339675 \nL 295.809128 82.343114 \nL 291.13788 84.01305 \nL 286.214511 86.245054 \nL 281.141267 88.933298 \nL 276.013801 91.976779 \nL 270.918221 95.283602 \nL 265.929237 98.773641 \nL 261.109217 102.379506 \nL 256.508111 106.046369 \nL 252.163954 109.731039 \nL 248.103858 113.400495 \nL 244.345254 117.030281 \nL 240.897273 120.602847 \nL 237.762177 124.106091 \nL 234.936696 127.532002 \nL 232.413308 130.875596 \nL 230.181362 134.134042 \nL 228.22805 137.30596 \nL 226.539253 140.39091 \nL 225.100228 143.38899 \nL 223.896172 146.30058 \nL 222.912666 149.126112 \nL 222.136029 151.865949 \nL 221.553571 154.520274 \nL 221.153782 157.088999 \nL 220.926466 159.571734 \nL 220.862821 161.967682 \nL 220.955487 164.275621 \nL 221.198561 166.493836 \nL 221.587597 168.620061 \nL 222.119577 170.651368 \nL 222.792893 172.584119 \nL 223.607292 174.413829 \nL 224.563837 176.135061 \nL 225.664846 177.741281 \nL 226.913836 179.2247 \nL 228.315445 180.576085 \nL 229.875351 181.784551 \nL 231.600169 182.837349 \nL 233.497325 183.719618 \nL 235.574898 184.414127 \nL 237.841421 184.901016 \nL 240.305636 185.157554 \nL 242.97616 185.157908 \nL 245.861086 184.872994 \nL 248.967489 184.27041 \nL 252.300772 183.314535 \nL 255.863922 181.966849 \nL 259.656563 180.186565 \nL 263.673877 177.931673 \nL 267.90533 175.160547 \nL 272.333274 171.834138 \nL 276.931395 167.918974 \nL 281.663194 163.390935 \nL 286.480493 158.239802 \nL 291.322235 152.474404 \nL 296.113773 146.128042 \nL 300.766889 139.26357 \nL 305.18085 131.977408 \nL 309.24477 124.401419 \nL 312.841408 116.701673 \nL 315.852509 109.073335 \nL 318.165382 101.73116 \nL 319.680291 94.896101 \nL 320.317969 88.779113 \nL 320.026355 83.564234 \nL 318.785563 79.39348 \nL 316.610476 76.355835 \nL 313.550415 74.48213 \nL 309.685923 73.74653 \nL 305.123121 74.073827 \nL 299.986382 75.351095 \nL 294.410246 77.441294 \nL 288.531556 80.19692 \nL 282.482453 83.471803 \nL 276.384878 87.130055 \nL 270.346634 91.051935 \nL 264.459119 95.136708 \nL 258.796475 99.303195 \nL 253.415874 103.488628 \nL 248.358659 107.646427 \nL 243.652003 111.743591 \nL 239.310856 115.757998 \nL 235.339992 119.675869 \nL 231.735989 123.489617 \nL 228.489071 127.196017 \nL 225.584754 130.794839 \nL 223.005267 134.287749 \nL 220.730743 137.67753 \nL 218.740211 140.967541 \nL 217.012378 144.161352 \nL 215.526246 147.262482 \nL 214.261583 150.274292 \nL 213.199257 153.199881 \nL 212.321481 156.042043 \nL 211.611967 158.803295 \nL 211.056013 161.485846 \nL 210.640541 164.09163 \nL 210.186842 169.079307 \nL 210.178169 173.776563 \nL 210.565714 178.189523 \nL 211.322615 182.319775 \nL 212.442099 186.163457 \nL 213.140817 187.974757 \nL 213.936024 189.709648 \nL 214.831959 191.365261 \nL 215.833932 192.937919 \nL 216.948333 194.423013 \nL 218.182618 195.81481 \nL 219.545325 197.106272 \nL 221.04607 198.288818 \nL 222.695546 199.35205 \nL 224.505516 200.283448 \nL 226.48877 201.068015 \nL 228.659077 201.687847 \nL 231.031083 202.121712 \nL 233.620161 202.344536 \nL 236.442185 202.326887 \nL 239.513212 202.034448 \nL 242.849029 201.427514 \nL 246.464555 200.460593 \nL 250.373029 199.082159 \nL 254.584963 197.234709 \nL 259.106821 194.855276 \nL 263.939351 191.876596 \nL 269.075566 188.229181 \nL 274.498388 183.844596 \nL 280.177951 178.660241 \nL 286.068712 172.625809 \nL 292.106549 165.7116 \nL 298.206198 157.918418 \nL 304.259425 149.288402 \nL 310.134561 139.915676 \nL 315.678062 129.954848 \nL 320.718654 119.625023 \nL 325.074545 109.206815 \nL 328.563746 99.030285 \nL 331.016902 89.45315 \nL 332.291444 80.830808 \nL 332.285286 73.481925 \nL 330.947907 67.655568 \nL 328.286872 63.506055 \nL 324.368613 61.080559 \nL 319.313135 60.321535 \nL 313.283587 61.082721 \nL 306.472441 63.154282 \nL 299.086415 66.291725 \nL 291.332175 70.243076 \nL 283.404391 74.770656 \nL 275.476948 79.665758 \nL 267.697557 84.756094 \nL 260.185421 89.907439 \nL 253.031376 95.021179 \nL 246.299784 100.029399 \nL 240.031523 104.889003 \nL 234.247512 109.575916 \nL 228.952337 114.079814 \nL 224.137725 118.399788 \nL 219.785672 122.540957 \nL 215.871167 126.511895 \nL 212.364466 130.322839 \nL 209.232952 133.984487 \nL 206.442603 137.507222 \nL 203.959126 140.900667 \nL 201.748802 144.173475 \nL 199.779088 147.333241 \nL 196.439497 153.338996 \nL 193.715399 158.959432 \nL 190.367961 166.728138 \nL 186.486805 175.928154 \nL 184.519787 180.039862 \nL 182.397013 183.815207 \nL 181.247394 185.570541 \nL 180.023334 187.232684 \nL 178.713059 188.79665 \nL 177.304602 190.256253 \nL 175.785705 191.603906 \nL 174.143729 192.830404 \nL 172.365591 193.924657 \nL 170.437731 194.873389 \nL 168.346101 195.660806 \nL 166.076206 196.268228 \nL 163.613193 196.67367 \nL 160.942015 196.851432 \nL 158.04766 196.771675 \nL 154.915521 196.400014 \nL 151.53187 195.69719 \nL 147.884523 194.618898 \nL 143.963665 193.11582 \nL 139.76296 191.134016 \nL 135.280878 188.61584 \nL 130.522325 185.501524 \nL 125.500572 181.7317 \nL 120.239427 177.251063 \nL 114.775609 172.013354 \nL 109.16116 165.987735 \nL 103.46567 159.16654 \nL 97.777997 151.573941 \nL 92.207043 143.274781 \nL 86.881076 134.382265 \nL 81.945131 125.062893 \nL 77.55606 115.536585 \nL 73.875029 106.070338 \nL 71.057727 96.964236 \nL 69.243021 88.530239 \nL 68.54114 81.06575 \nL 69.023111 74.825636 \nL 70.713005 69.99757 \nL 73.584286 66.685178 \nL 77.561096 64.902086 \nL 82.524209 64.577544 \nL 88.320735 65.571798 \nL 94.77612 67.697611 \nL 101.706668 70.743485 \nL 108.931123 74.494952 \nL 116.280155 78.751248 \nL 123.603214 83.336238 \nL 130.772677 88.104004 \nL 137.685554 92.939897 \nL 144.263213 97.758472 \nL 150.449736 102.499628 \nL 156.209402 107.123906 \nL 161.523716 111.607873 \nL 166.388348 115.939903 \nL 170.810193 120.116657 \nL 174.804705 124.14025 \nL 178.393555 128.016135 \nL 181.602648 131.751565 \nL 184.460504 135.35453 \nL 186.996951 138.833087 \nL 189.24211 142.19491 \nL 191.225632 145.447078 \nL 192.976139 148.595984 \nL 194.520838 151.647302 \nL 197.093211 157.476606 \nL 199.125378 162.968079 \nL 200.771134 168.14721 \nL 202.787736 175.372402 \nL 205.732116 186.075571 \nL 206.981592 189.911853 \nL 208.367788 193.49737 \nL 209.952323 196.82742 \nL 211.799825 199.889938 \nL 212.844013 201.314416 \nL 213.981188 202.662662 \nL 215.22169 203.929629 \nL 216.576627 205.109036 \nL 218.057944 206.193118 \nL 219.678505 207.172363 \nL 221.452153 208.03518 \nL 223.393743 208.767517 \nL 225.519169 209.352425 \nL 227.845335 209.76954 \nL 230.390087 209.994527 \nL 233.172073 209.998431 \nL 236.210517 209.747021 \nL 239.524856 209.200077 \nL 243.134237 208.310722 \nL 247.056791 207.024866 \nL 251.308669 205.280847 \nL 255.902755 203.009445 \nL 260.846997 200.134516 \nL 266.142314 196.574489 \nL 271.78003 192.245114 \nL 277.738835 187.063878 \nL 283.981321 180.956468 \nL 290.450299 173.865616 \nL 297.065099 165.762399 \nL 303.718464 156.65956 \nL 310.274576 146.625906 \nL 316.569114 135.799615 \nL 322.412241 124.397745 \nL 327.595313 112.718258 \nL 331.901707 101.131163 \nL 335.121541 90.056572 \nL 337.069145 79.930076 \nL 337.601028 71.159232 \nL 336.631798 64.07859 \nL 334.14499 58.91186 \nL 330.196675 55.749807 \nL 324.911111 54.547919 \nL 318.46905 55.143667 \nL 311.090987 57.287967 \nL 303.018104 60.683145 \nL 294.493858 65.019586 \nL 285.748442 70.005244 \nL 276.987351 75.385388 \nL 268.384422 80.95246 \nL 260.078882 86.547875 \nL 252.175639 92.058283 \nL 244.747798 97.408708 \nL 237.840526 102.554608 \nL 231.475501 107.4741 \nL 225.655443 112.161233 \nL 220.368358 116.620485 \nL 215.591313 120.862553 \nL 211.293658 124.90134 \nL 207.439672 128.75184 \nL 203.990697 132.428817 \nL 200.906791 135.945992 \nL 198.147975 139.315622 \nL 195.675151 142.548338 \nL 191.439047 148.637377 \nL 187.922171 154.266969 \nL 179.44705 168.643504 \nL 176.72117 172.600156 \nL 175.294994 174.410432 \nL 173.805785 176.101782 \nL 172.238674 177.667451 \nL 170.579262 179.09923 \nL 168.81351 180.387262 \nL 166.92767 181.519875 \nL 164.908245 182.483313 \nL 162.742001 183.26154 \nL 160.416025 183.835975 \nL 157.917854 184.185256 \nL 155.235673 184.285025 \nL 152.358608 184.107771 \nL 149.277117 183.622748 \nL 145.983517 182.796037 \nL 142.47263 181.590801 \nL 138.742618 179.96784 \nL 134.795946 177.886501 \nL 130.640549 175.306073 \nL 126.291125 172.187805 \nL 121.77058 168.497605 \nL 117.111501 164.209465 \nL 112.357585 159.309731 \nL 107.564876 153.801916 \nL 102.802597 147.711892 \nL 98.153312 141.092992 \nL 93.712174 134.030177 \nL 89.585019 126.642513 \nL 85.885027 119.082944 \nL 82.727997 111.534407 \nL 80.226247 104.201943 \nL 78.48165 97.300738 \nL 77.578275 91.0412 \nL 77.575591 85.612582 \nL 78.503011 81.167673 \nL 80.356647 77.810673 \nL 83.098691 75.590381 \nL 86.659677 74.499583 \nL 90.943238 74.480312 \nL 95.832761 75.4339 \nL 101.19909 77.233698 \nL 106.908278 79.738402 \nL 112.828729 82.804196 \nL 118.837088 86.294388 \nL 124.822581 90.086138 \nL 130.689773 94.074251 \nL 136.359892 98.172439 \nL 141.770891 102.312757 \nL 146.876638 106.443803 \nL 151.645457 110.528336 \nL 156.058316 114.540648 \nL 160.10687 118.464049 \nL 163.7915 122.288657 \nL 167.119452 126.009505 \nL 170.103169 129.625053 \nL 172.758817 133.135999 \nL 175.105038 136.544448 \nL 177.161907 139.853281 \nL 178.950091 143.065721 \nL 180.49018 146.18507 \nL 181.802179 149.214505 \nL 182.905121 152.157001 \nL 183.816796 155.015276 \nL 184.553567 157.791751 \nL 185.130254 160.48855 \nL 185.560077 163.107519 \nL 185.854637 165.650219 \nL 186.023932 168.11795 \nL 186.018925 172.832295 \nL 185.594581 177.255311 \nL 184.777948 181.386749 \nL 184.225267 183.341422 \nL 183.575355 185.220251 \nL 182.826 187.021184 \nL 181.973854 188.741502 \nL 181.014449 190.377729 \nL 179.942205 191.925472 \nL 178.750448 193.379277 \nL 177.431406 194.732441 \nL 175.976224 195.976798 \nL 174.374966 197.102469 \nL 172.616637 198.09755 \nL 170.689219 198.947804 \nL 168.579731 199.63626 \nL 166.274328 200.142807 \nL 163.758435 200.443724 \nL 161.016972 200.5112 \nL 158.034649 200.312842 \nL 154.796378 199.811204 \nL 151.287838 198.963395 \nL 147.496221 197.720847 \nL 143.41119 196.029348 \nL 139.026109 193.829451 \nL 134.339573 191.057497 \nL 129.357263 187.647446 \nL 124.094125 183.533766 \nL 118.576873 178.655686 \nL 112.846674 172.963019 \nL 106.961891 166.423604 \nL 101.000606 159.032343 \nL 95.062446 150.821232 \nL 89.269312 141.86945 \nL 83.764351 132.311834 \nL 78.708572 122.343724 \nL 74.274706 112.219782 \nL 70.638129 102.244811 \nL 67.965299 92.755552 \nL 66.400575 84.094381 \nL 66.053071 76.577803 \nL 66.985396 70.464872 \nL 69.206189 65.931111 \nL 72.66779 63.05322 \nL 77.269604 61.807107 \nL 82.866556 62.079214 \nL 89.281359 63.687721 \nL 96.318498 66.408881 \nL 103.778156 70.003387 \nL 111.468314 74.238671 \nL 119.214152 78.904993 \nL 126.864249 83.82482 \nL 134.293793 88.856292 \nL 141.405272 93.892164 \nL 148.127229 98.856025 \nL 154.411802 103.697143 \nL 160.231539 108.384888 \nL 165.575975 112.903636 \nL 170.448255 117.248345 \nL 174.862027 121.421004 \nL 178.838694 125.427928 \nL 182.405063 129.277787 \nL 185.591412 132.980216 \nL 188.429932 136.544936 \nL 190.953508 139.981201 \nL 193.194793 143.297487 \nL 195.185535 146.501392 \nL 196.956099 149.599566 \nL 199.94955 155.500988 \nL 202.381878 161.038628 \nL 205.356307 168.718712 \nL 208.783472 177.868254 \nL 210.514073 181.98932 \nL 212.379996 185.803637 \nL 214.466963 189.297389 \nL 215.619938 190.916674 \nL 216.860419 192.445194 \nL 218.1997 193.877308 \nL 219.64951 195.206049 \nL 221.222118 196.422911 \nL 222.930383 197.51758 \nL 224.787814 198.477631 \nL 226.808584 199.288181 \nL 229.007516 199.931508 \nL 231.400023 200.386601 \nL 234.001979 200.6287 \nL 236.829531 200.628806 \nL 239.898784 200.353178 \nL 243.225389 199.762889 \nL 246.823943 198.813458 \nL 250.707217 197.454673 \nL 254.88513 195.630695 \nL 259.363461 193.280626 \nL 264.142236 190.339714 \nL 269.213775 186.741442 \nL 274.560444 182.420779 \nL 280.152059 177.318836 \nL 285.943168 171.38914 \nL 291.870322 164.605597 \nL 297.849698 156.971882 \nL 303.775453 148.531703 \nL 309.519447 139.378659 \nL 314.932833 129.664073 \nL 319.850159 119.600451 \nL 324.096343 109.45832 \nL 327.496522 99.554596 \nL 329.888256 90.231923 \nL 331.13493 81.830343 \nL 331.138656 74.655089 \nL 329.850757 68.945715 \nL 327.277955 64.852311 \nL 323.483182 62.423715 \nL 318.580693 61.609309 \nL 312.726324 62.273548 \nL 306.104512 64.219361 \nL 298.914034 67.215038 \nL 291.354398 71.020012 \nL 283.614336 75.405711 \nL 275.863244 80.169841 \nL 268.245839 85.144017 \nL 260.879664 90.195831 \nL 253.855039 95.226862 \nL 247.236704 100.168275 \nL 241.06656 104.975454 \nL 235.36697 109.622505 \nL 230.144223 114.097248 \nL 225.391852 118.397042 \nL 221.093672 122.525437 \nL 217.226429 126.489686 \nL 213.762036 130.298928 \nL 210.669406 133.962997 \nL 207.915914 137.491587 \nL 205.468532 140.893816 \nL 203.294681 144.177981 \nL 201.362848 147.35143 \nL 199.643007 150.420593 \nL 196.728109 156.267437 \nL 194.346795 161.753828 \nL 191.404624 169.36035 \nL 187.951237 178.411673 \nL 186.181207 182.480548 \nL 184.258838 186.238268 \nL 182.097856 189.668542 \nL 180.900928 191.252502 \nL 179.611596 192.742633 \nL 178.218329 194.132679 \nL 176.709123 195.414956 \nL 175.07143 196.580125 \nL 173.292088 197.6169 \nL 171.357296 198.511728 \nL 169.252608 199.248429 \nL 166.962963 199.807784 \nL 164.472782 200.167082 \nL 161.766125 200.299652 \nL 158.826931 200.174368 \nL 155.639385 199.755176 \nL 152.188415 199.000693 \nL 148.460355 197.863923 \nL 144.443859 196.292211 \nL 140.131015 194.227574 \nL 135.518801 191.607533 \nL 130.610834 188.366746 \nL 125.419457 184.439598 \nL 119.968149 179.7641 \nL 114.294158 174.287267 \nL 108.451242 167.972165 \nL 102.512204 160.806508 \nL 96.57097 152.812476 \nL 90.743591 144.056826 \nL 85.167674 134.659864 \nL 79.999651 124.801312 \nL 75.409339 114.720811 \nL 71.571641 104.71083 \nL 68.655556 95.100788 \nL 66.81138 86.23271 \nL 66.157434 78.43084 \nL 66.768285 71.969753 \nL 68.666204 67.046653 \nL 71.817532 63.763081 \nL 76.134606 62.11965 \nL 81.483031 62.024176 \nL 87.693062 63.310668 \nL 94.573276 65.76464 \nL 101.924552 69.149732 \nL 109.552744 73.231156 \nL 117.278701 77.793335 \nL 124.94527 82.650891 \nL 132.421216 87.653485 \nL 139.602491 92.685741 \nL 146.411432 97.664089 \nL 152.794568 102.531835 \nL 158.719595 107.253721 \nL 164.172005 111.810656 \nL 169.151696 116.19516 \nL 173.669792 120.407575 \nL 177.745811 124.453204 \nL 181.40523 128.340131 \nL 184.677442 132.077752 \nL 187.594124 135.675732 \nL 190.18793 139.1434 \nL 192.491501 142.489406 \nL 194.536733 145.721509 \nL 196.354249 148.84658 \nL 199.420357 154.798667 \nL 201.899558 160.383996 \nL 203.971204 165.630326 \nL 209.991841 181.54459 \nL 211.801286 185.412409 \nL 213.814476 188.966365 \nL 214.923699 190.619226 \nL 216.115577 192.184283 \nL 217.401153 193.656478 \nL 218.791884 195.029535 \nL 220.299739 196.295747 \nL 221.937268 197.445736 \nL 223.71767 198.468158 \nL 225.654816 199.349395 \nL 227.763265 200.073163 \nL 230.058213 200.620113 \nL 232.555418 200.96735 \nL 235.271034 201.087965 \nL 238.221369 200.950524 \nL 241.422515 200.518568 \nL 244.889859 199.750201 \nL 248.637396 198.597787 \nL 252.676831 197.007881 \nL 257.016413 194.921532 \nL 261.659492 192.275135 \nL 266.602721 189.00204 \nL 271.833928 185.035179 \nL 277.329657 180.311031 \nL 283.05247 174.775084 \nL 288.948144 168.389061 \nL 294.943016 161.139728 \nL 300.941882 153.048978 \nL 306.826925 144.184258 \nL 312.458235 134.667834 \nL 317.676626 124.682893 \nL 322.30918 114.474052 \nL 326.177771 104.340083 \nL 329.11036 94.617507 \nL 330.95413 85.65541 \nL 331.589099 77.78415 \nL 330.940212 71.282492 \nL 328.985996 66.349174 \nL 325.762183 63.084471 \nL 321.359569 61.48513 \nL 315.916396 61.453229 \nL 309.606549 62.816096 \nL 302.625471 65.352643 \nL 295.175819 68.820655 \nL 287.45462 72.98077 \nL 279.643115 77.614272 \nL 271.899742 82.534023 \nL 264.356314 87.588994 \nL 257.116887 92.663983 \nL 250.258681 97.676145 \nL 243.83441 102.569812 \nL 237.875435 107.310844 \nL 232.395226 111.881271 \nL 227.392828 116.274625 \nL 222.856084 120.492141 \nL 218.764506 124.539855 \nL 215.091729 128.426466 \nL 211.80755 132.16183 \nL 208.879578 135.755983 \nL 206.274525 139.218531 \nL 203.959193 142.558308 \nL 201.901195 145.783216 \nL 200.069473 148.900192 \nL 196.969123 154.833505 \nL 194.445705 160.396492 \nL 191.352648 168.103606 \nL 187.776702 177.267913 \nL 185.966839 181.385343 \nL 184.013803 185.186508 \nL 181.828709 188.655037 \nL 180.621593 190.256124 \nL 179.323098 191.762 \nL 177.921578 193.166375 \nL 176.404961 194.461526 \nL 174.760662 195.638067 \nL 172.975531 196.684679 \nL 171.035811 197.587774 \nL 168.927144 198.331158 \nL 166.634605 198.895608 \nL 164.142795 199.258456 \nL 161.436 199.393108 \nL 158.498453 199.26858 \nL 155.314677 198.849043 \nL 151.870003 198.09345 \nL 148.151241 196.955278 \nL 144.147572 195.382533 \nL 139.85168 193.318091 \nL 135.261177 190.700615 \nL 130.380346 187.466172 \nL 125.222193 183.550884 \nL 119.810808 178.89481 \nL 114.183922 173.447266 \nL 108.395571 167.173796 \nL 102.518549 160.064583 \nL 96.646326 152.143979 \nL 90.893936 143.480234 \nL 85.397329 134.194083 \nL 80.310567 124.46415 \nL 75.800377 114.527099 \nL 72.037979 104.670394 \nL 69.188334 95.216604 \nL 67.397641 86.499592 \nL 66.780551 78.835067 \nL 67.408752 72.489796 \nL 69.302832 67.654994 \nL 72.428846 64.42889 \nL 76.700279 62.81179 \nL 81.985143 62.713963 \nL 88.117045 63.974046 \nL 94.90844 66.383448 \nL 102.164253 69.71201 \nL 109.694117 73.730704 \nL 117.322187 78.228813 \nL 124.893975 83.024652 \nL 132.280217 87.970333 \nL 139.378172 92.951953 \nL 146.110899 97.886535 \nL 152.425163 102.717414 \nL 158.288516 107.408939 \nL 163.686036 111.941418 \nL 168.617015 116.306651 \nL 173.091857 120.504283 \nL 177.129303 124.538927 \nL 180.754033 128.418075 \nL 183.99466 132.150596 \nL 186.882104 135.745735 \nL 189.448307 139.212475 \nL 191.725244 142.559188 \nL 193.744186 145.793454 \nL 195.535186 148.92198 \nL 198.545479 154.884553 \nL 200.961972 160.48499 \nL 202.960508 165.751376 \nL 209.401008 183.794396 \nL 211.123604 187.578921 \nL 213.057846 191.06255 \nL 214.129088 192.685534 \nL 215.283361 194.22454 \nL 216.531336 195.674791 \nL 217.884167 197.030328 \nL 219.353592 198.283814 \nL 220.951999 199.426291 \nL 222.692496 200.446882 \nL 224.588949 201.332486 \nL 226.655998 202.067378 \nL 228.909031 202.632804 \nL 231.364114 203.006493 \nL 234.037855 203.162147 \nL 236.947189 203.068913 \nL 240.109043 202.690812 \nL 243.539872 201.986276 \nL 247.255023 200.907715 \nL 251.267879 199.401346 \nL 255.588744 197.407309 \nL 260.223412 194.860309 \nL 265.171412 191.690984 \nL 270.423869 187.828269 \nL 275.961002 183.203082 \nL 281.749304 177.753577 \nL 287.738563 171.432236 \nL 293.85893 164.214823 \nL 300.018399 156.110859 \nL 306.101202 147.174903 \nL 311.967755 137.517154 \nL 317.45683 127.311393 \nL 322.390571 116.797548 \nL 326.582686 106.27648 \nL 329.849757 96.094984 \nL 332.024941 86.62092 \nL 332.972566 78.210614 \nL 332.601709 71.173259 \nL 330.876488 65.738499 \nL 327.821267 62.033706 \nL 323.519697 60.075436 \nL 318.107645 59.776232 \nL 311.761324 60.964284 \nL 304.682472 63.411251 \nL 297.082921 66.861964 \nL 289.170494 71.061156 \nL 281.13768 75.77377 \nL 273.15368 80.797663 \nL 265.359903 85.969292 \nL 257.868432 91.163828 \nL 250.762839 96.291558 \nL 244.100547 101.29241 \nL 237.91613 106.129796 \nL 232.225008 110.784722 \nL 227.027132 115.250691 \nL 222.31044 119.52954 \nL 218.053923 123.628244 \nL 214.230258 127.556593 \nL 210.807984 131.325532 \nL 207.75326 134.946122 \nL 205.031245 138.428879 \nL 202.607143 141.783391 \nL 200.446972 145.018174 \nL 198.51811 148.140652 \nL 195.232583 154.073085 \nL 192.526756 159.620226 \nL 189.142801 167.274284 \nL 186.107415 174.167863 \nL 184.066113 178.344885 \nL 181.883934 182.176167 \nL 180.708695 183.955829 \nL 179.46112 185.639769 \nL 178.129079 187.2229 \nL 176.70033 188.698913 \nL 175.162409 190.060091 \nL 173.502554 191.29709 \nL 171.707628 192.398668 \nL 169.764096 193.351399 \nL 167.658013 194.139353 \nL 165.375071 194.743727 \nL 162.900701 195.142462 \nL 160.220229 195.309842 \nL 157.319139 195.216095 \nL 154.183433 194.827044 \nL 150.800132 194.103816 \nL 147.15793 193.002731 \nL 143.248057 191.475402 \nL 139.065357 189.469232 \nL 134.60963 186.92838 \nL 129.887226 183.795477 \nL 124.912936 180.014199 \nL 119.712091 175.532969 \nL 114.322831 170.309909 \nL 108.798372 164.319157 \nL 103.209042 157.558292 \nL 97.64379 150.05664 \nL 92.21067 141.883439 \nL 87.036001 133.154839 \nL 82.261505 124.037916 \nL 78.039293 114.750033 \nL 74.524444 105.551941 \nL 71.865483 96.733733 \nL 70.193502 88.594175 \nL 69.611056 81.415495 \nL 70.182349 75.437229 \nL 71.926214 70.833504 \nL 74.813081 67.697956 \nL 78.76652 66.038908 \nL 83.669172 65.785288 \nL 89.372154 66.801472 \nL 95.706468 68.907671 \nL 102.494862 71.901683 \nL 109.562757 75.578784 \nL 116.747167 79.747262 \nL 123.903173 84.238711 \nL 130.907812 88.913185 \nL 137.661692 93.660284 \nL 144.088749 98.397258 \nL 150.134696 103.065408 \nL 155.76464 107.625769 \nL 160.960272 112.054737 \nL 165.716952 116.340102 \nL 170.040907 120.477712 \nL 173.946668 124.468781 \nL 177.454826 128.317894 \nL 180.590121 132.03147 \nL 183.379874 135.616772 \nL 185.852713 139.081215 \nL 188.03759 142.431948 \nL 189.963028 145.675619 \nL 191.656572 148.818287 \nL 193.144402 151.865356 \nL 195.599471 157.691407 \nL 197.503557 163.186009 \nL 199.00361 168.374536 \nL 200.753912 175.627007 \nL 204.447547 192.192038 \nL 205.474126 195.754553 \nL 206.641403 199.09488 \nL 207.999266 202.211172 \nL 209.602305 205.095789 \nL 211.512533 207.732986 \nL 212.604925 208.950858 \nL 213.802123 210.095517 \nL 215.115186 211.160959 \nL 216.556153 212.139721 \nL 218.138113 213.022618 \nL 219.875285 213.798386 \nL 221.783065 214.453291 \nL 223.878065 214.97066 \nL 226.178116 215.330327 \nL 228.702223 215.508012 \nL 231.47046 215.474623 \nL 234.50377 215.195474 \nL 237.823656 214.629465 \nL 241.451693 213.72824 \nL 245.408862 212.435428 \nL 249.714584 210.686036 \nL 254.385434 208.406181 \nL 259.433445 205.513388 \nL 264.863929 201.917795 \nL 270.672729 197.524618 \nL 276.842927 192.238435 \nL 283.340968 185.969764 \nL 290.112402 178.644415 \nL 297.077504 170.215881 \nL 304.127252 160.68053 \nL 311.120442 150.094598 \nL 317.882838 138.590882 \nL 324.209555 126.39183 \nL 329.871679 113.814702 \nL 334.627791 101.264298 \nL 338.240349 89.209921 \nL 340.495736 78.146257 \nL 341.225542 68.542349 \nL 340.325746 60.787172 \nL 337.770286 55.142978 \nL 333.6161 51.717086 \nL 327.998585 50.458151 \nL 321.118152 51.176586 \nL 313.220595 53.582658 \nL 304.574758 57.332441 \nL 295.451082 62.071521 \nL 286.103706 67.469711 \nL 276.757606 73.243327 \nL 267.601052 79.165483 \nL 258.782817 85.066838 \nL 250.413025 90.830006 \nL 242.566485 96.380735 \nL 235.287388 101.678151 \nL 228.59457 106.705613 \nL 222.486703 111.46295 \nL 216.947076 115.960274 \nL 211.947756 120.213403 \nL 207.453091 124.240661 \nL 203.422549 128.060704 \nL 199.81295 131.691198 \nL 196.580186 135.148092 \nL 193.680485 138.44527 \nL 188.712057 144.60524 \nL 184.592011 150.240564 \nL 174.741266 164.292653 \nL 171.613971 168.016563 \nL 169.987382 169.681906 \nL 168.296067 171.206948 \nL 166.524211 172.582914 \nL 164.656872 173.799384 \nL 162.679916 174.844139 \nL 160.579983 175.703 \nL 158.344516 176.35967 \nL 155.961848 176.795607 \nL 153.42135 176.989912 \nL 150.713673 176.919259 \nL 147.831056 176.557947 \nL 144.767765 175.878044 \nL 141.520612 174.849718 \nL 138.089611 173.441822 \nL 134.478758 171.622724 \nL 130.696907 169.361575 \nL 126.758764 166.629966 \nL 122.685937 163.404082 \nL 118.508 159.667399 \nL 114.263459 155.413829 \nL 110.000559 150.651259 \nL 105.777745 145.405197 \nL 101.663589 139.722251 \nL 97.736106 133.672911 \nL 94.081128 127.353034 \nL 90.78981 120.883489 \nL 87.955059 114.407331 \nL 85.66711 108.084297 \nL 84.008444 102.082646 \nL 83.048446 96.568831 \nL 82.838379 91.696157 \nL 83.407159 87.59374 \nL 84.758618 84.357264 \nL 86.870493 82.042972 \nL 89.695393 80.665485 \nL 93.163648 80.199848 \nL 97.187669 80.587043 \nL 101.667266 81.742007 \nL 106.495399 83.56278 \nL 111.563737 85.939534 \nL 116.76756 88.76254 \nL 122.009711 91.928248 \nL 127.203456 95.343577 \nL 132.274238 98.92819 \nL 137.160434 102.615252 \nL 141.813307 106.351027 \nL 146.196317 110.093672 \nL 150.284025 113.81164 \nL 154.06074 117.481938 \nL 157.519043 121.088396 \nL 160.658312 124.620134 \nL 163.483338 128.070235 \nL 166.00302 131.43465 \nL 168.22924 134.711342 \nL 170.175879 137.899593 \nL 171.857988 140.999528 \nL 173.291105 144.01173 \nL 174.490704 146.936994 \nL 175.471764 149.776123 \nL 176.248435 152.529815 \nL 176.833799 155.198559 \nL 177.239685 157.782585 \nL 177.476555 160.281786 \nL 177.553432 162.695704 \nL 177.477862 165.02344 \nL 177.255909 167.263634 \nL 176.892153 169.414402 \nL 176.389725 171.473256 \nL 175.750338 173.437019 \nL 174.974323 175.301729 \nL 174.060682 177.062537 \nL 173.007138 178.713566 \nL 171.810189 180.247736 \nL 170.46517 181.656602 \nL 168.96633 182.930172 \nL 167.306912 184.056651 \nL 165.479263 185.022214 \nL 163.474964 185.810732 \nL 161.285004 186.403505 \nL 158.899985 186.778974 \nL 156.310409 186.912453 \nL 153.507028 186.775902 \nL 150.481297 186.337789 \nL 147.225936 185.563025 \nL 143.735641 184.413151 \nL 140.007939 182.84674 \nL 136.044222 180.820185 \nL 131.850976 178.288987 \nL 127.44118 175.209643 \nL 122.835844 171.542292 \nL 118.065691 167.254171 \nL 113.172784 162.32401 \nL 108.212046 156.747168 \nL 103.252406 150.541356 \nL 98.377322 143.752474 \nL 93.684396 136.459768 \nL 89.28375 128.779435 \nL 85.294935 120.865462 \nL 81.842151 112.906727 \nL 79.048007 105.119487 \nL 77.025959 97.735239 \nL 75.87226 90.98465 \nL 75.658133 85.079449 \nL 76.423283 80.194604 \nL 78.171645 76.453758 \nL 80.87009 73.920311 \nL 84.450265 72.595316 \nL 88.813419 72.422511 \nL 93.837515 73.298901 \nL 99.38558 75.088825 \nL 105.314385 77.639054 \nL 111.482452 80.79263 \nL 117.756703 84.400016 \nL 124.017435 88.326872 \nL 130.161481 92.458453 \nL 136.103724 96.701086 \nL 141.777256 100.981533 \nL 147.132477 105.244986 \nL 152.13551 109.452254 \nL 156.766204 113.576841 \nL 161.015975 117.60207 \nL 164.885655 121.51862 \nL 168.383472 125.322398 \nL 171.523223 129.012886 \nL 174.322681 132.591882 \nL 176.802249 136.062554 \nL 178.983838 139.428788 \nL 180.889981 142.694744 \nL 182.543116 145.864557 \nL 183.965053 148.942178 \nL 185.176581 151.931273 \nL 186.197179 154.835199 \nL 187.044841 157.65699 \nL 187.735959 160.399353 \nL 188.705899 165.655223 \nL 189.205313 170.619113 \nL 189.307406 175.303643 \nL 189.062345 179.718105 \nL 188.499581 183.868374 \nL 187.629936 187.756415 \nL 186.44721 191.379269 \nL 184.929186 194.72747 \nL 184.033226 196.293264 \nL 183.038028 197.78263 \nL 181.936395 199.19131 \nL 180.720105 200.513975 \nL 179.379891 201.744028 \nL 177.905416 202.873373 \nL 176.285243 203.892136 \nL 174.506832 204.788346 \nL 172.556541 205.547571 \nL 170.419645 206.152471 \nL 168.080407 206.582322 \nL 165.522189 206.812481 \nL 162.727628 206.813787 \nL 159.678914 206.551948 \nL 156.358186 205.986919 \nL 152.748085 205.072346 \nL 148.832518 203.755116 \nL 144.597657 201.975181 \nL 140.033249 199.665774 \nL 135.134286 196.754251 \nL 129.903072 193.163839 \nL 124.351729 188.816614 \nL 118.50508 183.638081 \nL 112.403893 177.563653 \nL 106.108257 170.54733 \nL 99.700823 162.572415 \nL 93.289372 153.663901 \nL 87.008157 143.901282 \nL 81.017239 133.429893 \nL 75.498962 122.468065 \nL 70.650997 111.307004 \nL 66.675725 100.300415 \nL 63.766237 89.842584 \nL 62.090277 80.335528 \nL 61.774033 72.14939 \nL 62.888338 65.582591 \nL 65.439626 60.829541 \nL 69.367605 57.962712 \nL 74.549994 56.932462 \nL 80.813663 57.583707 \nL 87.950122 59.684604 \nL 95.732864 62.960579 \nL 103.933984 67.126798 \nL 112.338201 71.914371 \nL 120.753179 77.087933 \nL 129.015843 82.454567 \nL 136.995093 87.865579 \nL 144.591618 93.213401 \nL 151.73567 98.425581 \nL 158.383589 103.457789 \nL 164.513766 108.286889 \nL 170.122492 112.904832 \nL 175.220043 117.31363 \nL 179.827174 121.52151 \nL 183.972108 125.540051 \nL 187.688028 129.382207 \nL 191.011065 133.061011 \nL 193.978707 136.588798 \nL 196.628598 139.976742 \nL 198.997648 143.23467 \nL 203.033653 149.392917 \nL 206.348522 155.115706 \nL 210.459434 162.954128 \nL 214.090706 169.942033 \nL 216.49864 174.127437 \nL 219.046251 177.91578 \nL 220.408795 179.651633 \nL 221.848975 181.274751 \nL 223.380327 182.778149 \nL 225.016272 184.15335 \nL 226.770207 185.390167 \nL 228.655559 186.476483 \nL 230.685814 187.397964 \nL 232.874501 188.137798 \nL 235.235109 188.676375 \nL 237.780967 188.990984 \nL 240.525021 189.055528 \nL 243.479528 188.840253 \nL 246.655645 188.311594 \nL 250.062857 187.432118 \nL 253.708264 186.160701 \nL 257.595695 184.452975 \nL 261.724594 182.262206 \nL 266.088737 179.540726 \nL 270.674697 176.242036 \nL 275.460175 172.323772 \nL 280.412201 167.751604 \nL 285.485371 162.504097 \nL 290.620207 156.578515 \nL 295.741988 149.997143 \nL 300.760268 142.813679 \nL 305.569481 135.118774 \nL 310.050924 127.043602 \nL 314.076442 118.760192 \nL 317.5139 110.477337 \nL 320.234373 102.431252 \nL 322.120522 94.871185 \nL 323.075468 88.040929 \nL 323.031079 82.158597 \nL 321.95455 77.397643 \nL 319.852274 73.872201 \nL 316.770315 71.629251 \nL 312.791423 70.648815 \nL 308.028917 70.851646 \nL 302.618402 72.112513 \nL 296.708371 74.276486 \nL 290.45095 77.175407 \nL 283.993604 80.642233 \nL 277.472527 84.522013 \nL 271.008032 88.678912 \nL 264.701796 92.999642 \nL 258.6359 97.393992 \nL 252.873176 101.793288 \nL 247.458546 106.14766 \nL 242.420996 110.422787 \nL 237.775831 114.596632 \nL 233.527044 118.656441 \nL 229.669584 122.596196 \nL 226.19145 126.414517 \nL 223.07553 130.113071 \nL 220.301199 133.695368 \nL 217.845625 137.165926 \nL 215.684853 140.529662 \nL 213.794654 143.791533 \nL 212.151173 146.956303 \nL 210.731429 150.028422 \nL 209.513655 153.011967 \nL 208.477542 155.910631 \nL 207.604377 158.727752 \nL 206.280422 164.129052 \nL 205.425594 169.236544 \nL 204.949396 174.067232 \nL 204.784654 178.635306 \nL 204.884703 182.952605 \nL 205.220672 187.028834 \nL 205.779183 190.871416 \nL 206.560617 194.485126 \nL 207.578023 197.871362 \nL 208.856647 201.027005 \nL 210.434095 203.942743 \nL 211.350175 205.305442 \nL 212.361049 206.600545 \nL 213.475293 207.823847 \nL 214.70248 208.970047 \nL 216.053228 210.032562 \nL 217.539258 211.003248 \nL 219.17345 211.872112 \nL 220.969887 212.626954 \nL 222.943881 213.252944 \nL 225.111988 213.73213 \nL 227.491968 214.042888 \nL 230.102716 214.159259 \nL 232.9641 214.05026 \nL 236.096719 213.679101 \nL 239.521513 213.002395 \nL 243.259204 211.969365 \nL 247.329512 210.521192 \nL 251.750095 208.590564 \nL 256.535096 206.101673 \nL 261.69331 202.97087 \nL 267.22581 199.108357 \nL 273.12307 194.421315 \nL 279.361507 188.818982 \nL 285.899576 182.220134 \nL 292.67358 174.563373 \nL 299.593505 165.820259 \nL 306.53959 156.010802 \nL 313.360276 145.219886 \nL 319.872609 133.612228 \nL 325.866188 121.442217 \nL 331.111446 109.054323 \nL 335.372793 96.87014 \nL 338.426005 85.359938 \nL 340.078286 74.999915 \nL 340.188407 66.220938 \nL 338.683373 59.358054 \nL 335.568568 54.611587 \nL 330.929166 52.028519 \nL 324.922328 51.507901 \nL 317.761768 52.827385 \nL 309.697466 55.683498 \nL 300.994169 59.735738 \nL 291.91166 64.645978 \nL 282.689112 70.107721 \nL 273.534428 75.863559 \nL 264.618591 81.711656 \nL 256.074241 87.504256 \nL 247.99736 93.141044 \nL 240.450995 98.560342 \nL 233.470047 103.729867 \nL 227.066347 108.638279 \nL 221.233593 113.288258 \nL 215.951796 117.691027 \nL 211.191117 121.862394 \nL 206.915072 125.819946 \nL 203.083105 129.581268 \nL 199.652602 133.16281 \nL 196.580431 136.579296 \nL 193.82407 139.843492 \nL 189.096252 145.955955 \nL 185.165284 151.563559 \nL 175.679063 165.621973 \nL 172.633119 169.375583 \nL 171.042868 171.061345 \nL 169.385548 172.610777 \nL 167.645615 174.015314 \nL 165.808273 175.264747 \nL 163.859409 176.347078 \nL 161.785562 177.248326 \nL 159.573929 177.952341 \nL 157.212454 178.440655 \nL 154.689966 178.692333 \nL 151.996394 178.683856 \nL 149.123095 178.38913 \nL 146.06324 177.779555 \nL 142.812365 176.824293 \nL 139.369001 175.490724 \nL 135.735474 173.745255 \nL 131.918799 171.554434 \nL 127.931716 168.886561 \nL 123.793808 165.713782 \nL 119.532657 162.014797 \nL 115.184949 157.778068 \nL 110.797457 153.005537 \nL 106.427681 147.71659 \nL 102.144056 141.951977 \nL 98.025466 135.777186 \nL 94.159892 129.284667 \nL 90.642018 122.594167 \nL 87.569812 115.85063 \nL 85.039983 109.21911 \nL 83.142673 102.87668 \nL 81.955746 97.001783 \nL 81.539125 91.762007 \nL 81.930001 87.301789 \nL 83.139347 83.731643 \nL 85.150332 81.120692 \nL 87.918894 79.493297 \nL 91.376363 78.83036 \nL 95.433857 79.074641 \nL 99.98789 80.139203 \nL 104.926552 81.917262 \nL 110.135564 84.292218 \nL 115.503723 87.146551 \nL 120.927342 90.368827 \nL 126.313518 93.858618 \nL 131.582147 97.529193 \nL 136.666863 101.308476 \nL 141.515076 105.138672 \nL 146.087289 108.975029 \nL 150.35594 112.784031 \nL 154.303958 116.541488 \nL 157.923198 120.230655 \nL 161.212853 123.840519 \nL 164.177939 127.364344 \nL 166.82792 130.798465 \nL 169.175491 134.141333 \nL 171.235516 137.392793 \nL 173.024139 140.553573 \nL 174.558064 143.62486 \nL 175.853958 146.608032 \nL 176.928002 149.504485 \nL 177.795532 152.315511 \nL 178.470782 155.042173 \nL 178.966705 157.685303 \nL 179.29485 160.245407 \nL 179.465279 162.722668 \nL 179.486542 165.116895 \nL 179.365667 167.427484 \nL 179.108164 169.653383 \nL 178.718063 171.793042 \nL 178.197938 173.844327 \nL 177.548952 175.804453 \nL 176.770905 177.669901 \nL 175.862275 179.436296 \nL 174.820262 181.098262 \nL 173.640844 182.649296 \nL 172.318823 184.081563 \nL 170.847885 185.385718 \nL 169.220671 186.550662 \nL 167.428859 187.563291 \nL 165.463271 188.408211 \nL 163.314019 189.067441 \nL 160.970676 189.520089 \nL 158.422528 189.742047 \nL 155.658883 189.705687 \nL 152.669471 189.379605 \nL 149.444963 188.72848 \nL 145.97764 187.713075 \nL 142.262196 186.290463 \nL 138.296754 184.414601 \nL 134.084072 182.037358 \nL 129.632965 179.110147 \nL 124.95992 175.586322 \nL 120.090879 171.424466 \nL 115.063114 166.592678 \nL 109.927018 161.073849 \nL 104.747679 154.871836 \nL 99.605945 148.018014 \nL 94.598622 140.577734 \nL 89.837474 132.655502 \nL 85.44672 124.397822 \nL 81.558688 115.992233 \nL 78.307658 107.661488 \nL 75.822055 99.652289 \nL 74.215603 92.218994 \nL 73.578307 85.603683 \nL 73.968419 80.015522 \nL 75.406467 75.612293 \nL 77.872435 72.487499 \nL 81.306445 70.665043 \nL 85.613001 70.102172 \nL 90.668121 70.69968 \nL 96.328341 72.31699 \nL 102.440427 74.789257 \nL 108.850602 77.943732 \nL 115.412481 81.613427 \nL 121.993093 85.646856 \nL 128.476932 89.913888 \nL 134.768025 94.308046 \nL 140.790399 98.746084 \nL 146.487284 103.165886 \nL 151.819457 107.523349 \nL 156.763097 111.788993 \nL 161.307393 115.944659 \nL 165.452157 119.980585 \nL 169.205555 123.892973 \nL 172.582074 127.682063 \nL 175.60074 131.35063 \nL 178.283606 134.90293 \nL 180.654508 138.34395 \nL 182.738067 141.678895 \nL 184.5589 144.912874 \nL 186.141037 148.050718 \nL 187.507471 151.096898 \nL 188.679859 154.055488 \nL 189.678326 156.930154 \nL 191.225698 162.44063 \nL 192.277072 167.651126 \nL 192.933647 172.580416 \nL 193.272538 177.24426 \nL 193.349672 181.656115 \nL 193.202741 185.82751 \nL 192.85382 189.768159 \nL 192.311464 193.48583 \nL 191.5722 196.986002 \nL 190.621402 200.271239 \nL 189.433554 203.340211 \nL 187.971928 206.186224 \nL 186.18773 208.79507 \nL 185.155793 210.003301 \nL 184.018739 211.141827 \nL 182.766403 212.205098 \nL 181.387542 213.186204 \nL 179.869771 214.076607 \nL 178.199504 214.865814 \nL 176.361896 215.540994 \nL 174.340812 216.086532 \nL 172.118811 216.483497 \nL 169.67718 216.709029 \nL 166.99601 216.735648 \nL 164.054363 216.530483 \nL 160.830543 216.05443 \nL 157.302496 215.26129 \nL 153.448433 214.09692 \nL 149.247679 212.498518 \nL 144.681839 210.394147 \nL 139.736369 207.702774 \nL 134.402605 204.335052 \nL 128.680353 200.195266 \nL 122.581062 195.184936 \nL 116.131591 189.208575 \nL 109.378483 182.182195 \nL 102.392492 174.044919 \nL 95.273001 164.773676 \nL 88.151567 154.400315 \nL 81.193744 143.029437 \nL 74.598043 130.853914 \nL 68.590864 118.163898 \nL 63.416488 105.344565 \nL 59.321862 92.858298 \nL 56.537015 81.209812 \nL 55.253119 70.896617 \nL 55.601395 62.352392 \nL 57.636767 55.89429 \nL 61.329317 51.686257 \nL 66.565742 49.726417 \nL 73.160475 49.860642 \nL 80.874304 51.817497 \nL 89.437008 55.254603 \nL 98.570193 59.805875 \nL 108.00716 65.120992 \nL 117.507843 70.892522 \nL 126.868194 76.870041 \nL 135.924388 82.863425 \nL 144.552878 88.738409 \nL 152.667556 94.408112 \nL 160.215165 99.822875 \nL 167.169953 104.960498 \nL 173.528254 109.817662 \nL 179.303413 114.403131 \nL 184.521322 118.732549 \nL 189.216635 122.824785 \nL 193.429682 126.699436 \nL 197.204017 130.375303 \nL 200.584537 133.869475 \nL 203.616074 137.196899 \nL 208.805409 143.399974 \nL 213.098149 149.059927 \nL 223.273712 163.105242 \nL 226.46965 166.803049 \nL 228.126002 168.450691 \nL 229.844532 169.954778 \nL 231.641287 171.306402 \nL 233.531331 172.495018 \nL 235.528813 173.508275 \nL 237.646984 174.331914 \nL 239.898174 174.949621 \nL 242.293699 175.342893 \nL 244.843697 175.490983 \nL 247.556898 175.370871 \nL 250.440279 174.957362 \nL 253.498653 174.223264 \nL 256.734125 173.139824 \nL 260.145457 171.677321 \nL 263.727295 169.806008 \nL 267.469325 167.497419 \nL 271.355316 164.726063 \nL 275.362141 161.471627 \nL 279.458817 157.721605 \nL 283.60564 153.474341 \nL 287.75353 148.74239 \nL 291.843747 143.555882 \nL 295.808128 137.965558 \nL 299.569981 132.045086 \nL 303.045817 125.891996 \nL 306.14799 119.626736 \nL 308.788234 113.389472 \nL 310.881977 107.334325 \nL 312.353198 101.621277 \nL 313.139366 96.40634 \nL 313.196021 91.830995 \nL 312.50042 88.012205 \nL 311.053838 85.034401 \nL 308.88212 82.944488 \nL 306.034436 81.750561 \nL 302.580383 81.424317 \nL 298.605729 81.906526 \nL 294.207345 83.114672 \nL 289.487836 84.951405 \nL 284.550419 87.31285 \nL 279.494429 90.095726 \nL 274.411725 93.202875 \nL 269.384131 96.546996 \nL 264.481882 100.052689 \nL 259.76298 103.657109 \nL 255.273281 107.309523 \nL 251.047164 110.970234 \nL 247.108586 114.609091 \nL 243.472346 118.203865 \nL 240.145472 121.738723 \nL 237.128599 125.202783 \nL 234.417286 128.5889 \nL 232.003219 131.892651 \nL 229.87528 135.111522 \nL 228.020474 138.244295 \nL 226.424716 141.290561 \nL 225.073471 144.250376 \nL 223.952278 147.124008 \nL 223.047166 149.911736 \nL 222.34497 152.61374 \nL 221.833562 155.229982 \nL 221.502032 157.760156 \nL 221.340793 160.203603 \nL 221.341659 162.559249 \nL 221.497882 164.825565 \nL 221.804157 167.000503 \nL 222.256624 169.081393 \nL 222.852831 171.064895 \nL 223.591711 172.946877 \nL 224.473532 174.722314 \nL 225.499844 176.385151 \nL 226.673421 177.928143 \nL 227.998194 179.342717 \nL 229.479169 180.618732 \nL 231.122329 181.744316 \nL 232.934524 182.705602 \nL 234.923315 183.486494 \nL 237.096807 184.068416 \nL 239.463406 184.430068 \nL 242.031531 184.547195 \nL 244.809257 184.392407 \nL 247.803838 183.935094 \nL 251.021151 183.141457 \nL 254.464995 181.974719 \nL 258.136225 180.395644 \nL 262.031765 178.3634 \nL 266.143424 175.836871 \nL 270.456569 172.776607 \nL 274.948684 169.147415 \nL 279.587834 164.921756 \nL 284.331209 160.083873 \nL 289.12382 154.634616 \nL 293.8976 148.596625 \nL 298.571085 142.019511 \nL 303.050047 134.984252 \nL 307.229237 127.605937 \nL 310.995532 120.033948 \nL 314.232514 112.448582 \nL 316.826433 105.053608 \nL 318.673147 98.064737 \nL 319.685489 91.694856 \nL 319.800247 86.13762 \nL 318.983843 81.551768 \nL 317.235936 78.04841 \nL 314.590356 75.683425 \nL 311.113194 74.456066 \nL 306.898278 74.313611 \nL 302.060652 75.161047 \nL 296.728934 76.873601 \nL 291.037438 79.310254 \nL 285.118907 82.326159 \nL 279.098404 85.782727 \nL 273.088776 89.554671 \nL 267.187676 93.534172 \nL 261.476117 97.632417 \nL 256.018241 101.779194 \nL 250.862077 105.921195 \nL 246.040935 110.019622 \nL 241.575207 114.047578 \nL 237.47433 117.987485 \nL 233.738767 121.828847 \nL 230.361881 125.566287 \nL 227.331646 129.197996 \nL 224.632144 132.724538 \nL 222.244847 136.147972 \nL 220.149682 139.471166 \nL 218.325903 142.697385 \nL 216.752773 145.829977 \nL 215.410093 148.872195 \nL 214.278606 151.827082 \nL 213.340272 154.697414 \nL 212.578468 157.485686 \nL 211.978109 160.194101 \nL 211.525705 162.824562 \nL 211.209392 165.378715 \nL 211.01891 167.857909 \nL 210.982228 172.595544 \nL 211.364156 177.042893 \nL 212.13575 181.200548 \nL 212.664346 183.169358 \nL 213.288822 185.063214 \nL 214.011156 186.88026 \nL 214.834461 188.618003 \nL 215.762969 190.273218 \nL 216.802013 191.841815 \nL 217.958027 193.318704 \nL 219.238531 194.697593 \nL 220.652134 195.970799 \nL 222.20853 197.129002 \nL 223.918476 198.16096 \nL 225.79377 199.053185 \nL 227.8472 199.78958 \nL 230.092462 200.35102 \nL 232.544036 200.714912 \nL 235.216994 200.854697 \nL 238.126739 200.739354 \nL 241.288617 200.332917 \nL 244.717421 199.594044 \nL 248.42669 198.475718 \nL 252.427829 196.925147 \nL 256.72896 194.884067 \nL 261.333479 192.289521 \nL 266.238306 189.075411 \nL 271.43177 185.175036 \nL 276.891204 180.524913 \nL 282.580251 175.070107 \nL 288.446089 168.771242 \nL 294.416802 161.613163 \nL 300.399196 153.614854 \nL 306.277675 144.839752 \nL 311.914622 135.40509 \nL 317.152999 125.488247 \nL 321.821636 115.327745 \nL 325.743458 105.216692 \nL 328.746482 95.487237 \nL 330.676784 86.486254 \nL 331.411975 78.544666 \nL 330.873422 71.944798 \nL 329.035167 66.891702 \nL 325.927951 63.493807 \nL 321.637598 61.756777 \nL 316.297885 61.591091 \nL 310.079134 62.831023 \nL 303.174355 65.260327 \nL 295.784977 68.639411 \nL 288.107899 72.729484 \nL 280.32514 77.310877 \nL 272.596613 82.194383 \nL 265.056011 87.226447 \nL 257.809471 92.289226 \nL 250.936314 97.297332 \nL 244.491252 102.192922 \nL 238.507439 106.940049 \nL 232.999915 111.519327 \nL 227.969043 115.923235 \nL 223.403744 120.152242 \nL 219.284382 124.21186 \nL 215.58525 128.110451 \nL 212.276639 131.857669 \nL 209.326505 135.463438 \nL 206.701796 138.937326 \nL 204.369458 142.288173 \nL 202.297185 145.523903 \nL 200.453944 148.6515 \nL 197.338769 154.605701 \nL 194.811208 160.189528 \nL 192.689156 165.43071 \nL 187.334633 179.254181 \nL 185.51188 183.24637 \nL 183.512978 186.921385 \nL 182.420328 188.63424 \nL 181.251049 190.259392 \nL 179.994036 191.792193 \nL 178.637861 193.226857 \nL 177.170676 194.556244 \nL 175.580124 195.771656 \nL 173.853281 196.862556 \nL 171.9766 197.816272 \nL 169.935908 198.617655 \nL 167.716413 199.248673 \nL 165.302786 199.687997 \nL 162.679282 199.910529 \nL 159.829959 199.886924 \nL 156.738987 199.583117 \nL 153.391103 198.959893 \nL 149.772197 197.972558 \nL 145.870133 196.57081 \nL 141.675789 194.698923 \nL 137.184361 192.296382 \nL 132.397001 189.299207 \nL 127.322769 185.642156 \nL 121.980916 181.262111 \nL 116.403389 176.102854 \nL 110.63757 170.12146 \nL 104.74885 163.296266 \nL 98.822892 155.636209 \nL 92.967059 147.190834 \nL 87.310467 138.059721 \nL 82.002087 128.399617 \nL 77.206368 118.427068 \nL 73.096043 108.414292 \nL 69.842166 98.676694 \nL 67.601974 89.551743 \nL 66.505768 81.370676 \nL 66.644514 74.427054 \nL 68.060014 68.947207 \nL 70.739441 65.068327 \nL 74.615141 62.828229 \nL 79.569991 62.168583 \nL 85.447273 62.950035 \nL 92.063587 64.975456 \nL 99.222756 68.016278 \nL 106.729015 71.837135 \nL 114.397992 76.215677 \nL 122.064813 80.955962 \nL 129.589097 85.895405 \nL 136.857173 90.906419 \nL 143.782006 95.894316 \nL 150.301489 100.793016 \nL 156.375723 105.559691 \nL 161.983762 110.169521 \nL 167.120241 114.610851 \nL 171.792127 118.881165 \nL 176.015775 122.983917 \nL 179.814351 126.926082 \nL 183.215668 130.716483 \nL 186.2504 134.364592 \nL 188.950671 137.879768 \nL 191.348949 141.270821 \nL 193.477223 144.545772 \nL 195.366407 147.711767 \nL 197.045929 150.775045 \nL 199.88485 156.614406 \nL 202.192725 162.098597 \nL 205.020545 169.711922 \nL 208.29397 178.795481 \nL 209.954143 182.894118 \nL 211.74853 186.694317 \nL 213.759527 190.183906 \nL 214.871935 191.805541 \nL 216.06969 193.339845 \nL 217.363774 194.781604 \nL 218.765645 196.124358 \nL 220.287312 197.360189 \nL 221.941417 198.479454 \nL 223.741285 199.470507 \nL 225.700958 200.319344 \nL 227.83519 201.009227 \nL 230.159414 201.520256 \nL 232.689633 201.828895 \nL 235.442265 201.907451 \nL 238.433876 201.723575 \nL 241.68081 201.239739 \nL 245.198656 200.412818 \nL 249.001539 199.193779 \nL 253.101176 197.527636 \nL 257.505677 195.353794 \nL 262.218019 192.606958 \nL 267.234188 189.21887 \nL 272.54095 185.121113 \nL 278.11332 180.249295 \nL 283.911749 174.548868 \nL 289.879249 167.982681 \nL 295.938723 160.540267 \nL 301.990852 152.248284 \nL 307.913125 143.181221 \nL 313.56064 133.47075 \nL 318.769229 123.311444 \nL 323.361534 112.960511 \nL 327.15612 102.729164 \nL 329.979385 92.964507 \nL 331.679226 84.022523 \nL 332.138918 76.235254 \nL 331.289188 69.87718 \nL 329.116477 65.137048 \nL 325.665784 62.100743 \nL 321.037599 60.748363 \nL 315.379315 60.965374 \nL 308.87257 62.564638 \nL 301.718598 65.314159 \nL 294.12366 68.964928 \nL 286.28623 73.274692 \nL 278.387127 78.025082 \nL 270.582935 83.031542 \nL 263.002609 88.147005 \nL 255.746768 93.260745 \nL 248.888969 98.294341 \nL 242.478326 103.19616 \nL 236.542822 107.935498 \nL 231.0929 112.49717 \nL 226.124969 116.87689 \nL 221.624648 121.077517 \nL 217.569611 125.106257 \nL 213.932012 128.972622 \nL 210.68048 132.687011 \nL 207.781723 136.259798 \nL 205.201772 139.70076 \nL 202.906926 143.018807 \nL 200.864441 146.221851 \nL 199.043003 149.316782 \nL 195.946888 155.205104 \nL 193.405261 160.721034 \nL 190.241432 168.350701 \nL 187.420055 175.248778 \nL 185.530174 179.448218 \nL 183.513854 183.321601 \nL 181.277085 186.852263 \nL 180.047304 188.480447 \nL 178.727802 190.010651 \nL 177.306693 191.436459 \nL 175.771735 192.750025 \nL 174.110248 193.941827 \nL 172.309066 195.000395 \nL 170.354494 195.912011 \nL 168.232309 196.660346 \nL 165.927814 197.226083 \nL 163.425934 197.586497 \nL 160.71138 197.715005 \nL 157.768915 197.580746 \nL 154.583736 197.148149 \nL 151.14197 196.376629 \nL 147.431375 195.220382 \nL 143.442226 193.628476 \nL 139.168459 191.545276 \nL 134.609077 188.911452 \nL 129.769865 185.665704 \nL 124.665386 181.747474 \nL 119.321272 177.100849 \nL 113.776664 171.679895 \nL 108.086697 165.455425 \nL 102.32475 158.423132 \nL 96.584131 150.61265 \nL 90.978712 142.096585 \nL 85.641991 132.998224 \nL 80.724121 123.496057 \nL 76.38641 113.823017 \nL 72.793245 104.258789 \nL 70.101682 95.114127 \nL 68.44958 86.707839 \nL 67.94354 79.338863 \nL 68.648382 73.257603 \nL 70.579782 68.641458 \nL 73.701395 65.57928 \nL 77.927081 64.067472 \nL 83.127853 64.017888 \nL 89.14245 65.275407 \nL 95.78995 67.640851 \nL 102.882582 70.894972 \nL 110.237267 74.819627 \nL 117.684869 79.213766 \nL 125.076638 83.903568 \nL 132.2879 88.746963 \nL 139.219286 93.633932 \nL 145.796115 98.483738 \nL 151.966423 103.240634 \nL 157.698224 107.868988 \nL 162.976423 112.348535 \nL 167.799678 116.670164 \nL 172.177433 120.832441 \nL 176.127261 124.838906 \nL 179.672558 128.696028 \nL 182.8406 132.411757 \nL 185.660971 135.994552 \nL 188.164306 139.452737 \nL 190.381327 142.79416 \nL 192.342114 146.025967 \nL 194.07559 149.154568 \nL 195.609168 152.185611 \nL 198.177544 157.974211 \nL 200.230588 163.424224 \nL 201.922712 168.560259 \nL 207.353413 186.271451 \nL 208.80617 190.030176 \nL 210.439816 193.520473 \nL 212.323228 196.730444 \nL 213.381271 198.223882 \nL 214.529829 199.63792 \nL 215.779327 200.967532 \nL 217.140871 202.206455 \nL 218.626324 203.346966 \nL 220.248383 204.379627 \nL 222.020638 205.292951 \nL 223.957604 206.073058 \nL 226.07474 206.703234 \nL 228.388419 207.163465 \nL 230.915857 207.429892 \nL 233.674961 207.474227 \nL 236.684102 207.26312 \nL 239.961756 206.757525 \nL 243.525995 205.912108 \nL 247.393793 204.674736 \nL 251.580072 202.986232 \nL 256.096456 200.780446 \nL 260.94968 197.984949 \nL 266.139581 194.522548 \nL 271.656674 190.313989 \nL 277.479295 185.282183 \nL 283.570354 179.358371 \nL 289.873929 172.490425 \nL 296.311866 164.653363 \nL 302.780958 155.861688 \nL 309.151201 146.182554 \nL 315.265988 135.747907 \nL 320.944941 124.763048 \nL 325.990195 113.508369 \nL 330.196447 102.331262 \nL 333.364589 91.626155 \nL 335.317772 81.803054 \nL 335.91813 73.24792 \nL 335.081586 66.281334 \nL 332.788203 61.123291 \nL 329.086039 57.871563 \nL 324.08768 56.49798 \nL 317.959992 56.862479 \nL 310.908967 58.740777 \nL 303.16217 61.858643 \nL 294.951484 65.925982 \nL 286.498242 70.664947 \nL 278.00197 75.829572 \nL 269.633284 81.216281 \nL 261.530527 86.66681 \nL 253.799543 92.065651 \nL 246.515659 97.334208 \nL 239.72707 102.423731 \nL 233.458915 107.308126 \nL 227.717505 111.977558 \nL 222.494362 116.433116 \nL 217.769859 120.682676 \nL 213.516366 124.737893 \nL 209.700876 128.612007 \nL 206.287116 132.318474 \nL 203.237229 135.870067 \nL 200.51304 139.27842 \nL 198.077007 142.553763 \nL 195.892884 145.704899 \nL 192.144389 151.662889 \nL 189.016431 157.196768 \nL 181.340192 171.45765 \nL 178.81697 175.432883 \nL 177.487522 177.264775 \nL 176.093465 178.98683 \nL 174.620808 180.593059 \nL 173.05582 182.076129 \nL 171.384936 183.427165 \nL 169.594664 184.63555 \nL 167.671528 185.688677 \nL 165.602064 186.571689 \nL 163.372838 187.267207 \nL 160.970541 187.755023 \nL 158.382137 188.01183 \nL 155.595102 188.01093 \nL 152.597752 187.722046 \nL 149.379698 187.11117 \nL 145.932433 186.140617 \nL 142.250084 184.769273 \nL 138.330345 182.95317 \nL 134.175602 180.646509 \nL 129.794268 177.803256 \nL 125.202288 174.37943 \nL 120.424807 170.336261 \nL 115.497899 165.644248 \nL 110.470256 160.28814 \nL 105.404602 154.272682 \nL 100.37866 147.628799 \nL 95.485298 140.41951 \nL 90.831546 132.744766 \nL 86.536215 124.744055 \nL 82.725817 116.595502 \nL 79.528758 108.510521 \nL 77.06807 100.723434 \nL 75.453109 93.476379 \nL 74.771075 87.000996 \nL 75.079413 81.499027 \nL 76.400076 77.125039 \nL 78.716674 73.973875 \nL 81.974845 72.07512 \nL 86.085976 71.395093 \nL 90.933664 71.845689 \nL 96.382051 73.298001 \nL 102.284917 75.598132 \nL 108.494476 78.582614 \nL 114.86899 82.091503 \nL 121.278742 85.978095 \nL 127.61012 90.114901 \nL 133.767852 94.396362 \nL 139.675675 98.738889 \nL 145.275791 103.079129 \nL 150.527419 107.371278 \nL 155.40485 111.583942 \nL 159.89522 115.697047 \nL 163.99624 119.699034 \nL 167.71403 123.584497 \nL 171.061135 127.352288 \nL 174.054781 131.004014 \nL 176.715377 134.542967 \nL 179.065282 137.973347 \nL 181.127798 141.299708 \nL 182.926374 144.526635 \nL 184.483991 147.658538 \nL 185.822715 150.699541 \nL 186.963368 153.653405 \nL 187.925308 156.523545 \nL 188.726302 159.313042 \nL 189.908209 164.660893 \nL 190.618025 169.715883 \nL 190.939206 174.493323 \nL 190.93195 179.005546 \nL 190.635783 183.262167 \nL 190.071995 187.27002 \nL 189.245627 191.032706 \nL 188.146869 194.549742 \nL 186.751812 197.815234 \nL 185.931887 199.349844 \nL 185.022569 200.815835 \nL 184.01686 202.209885 \nL 182.906806 203.52778 \nL 181.683451 204.764224 \nL 180.336802 205.912639 \nL 178.855784 206.96493 \nL 177.228203 207.911183 \nL 175.440717 208.739338 \nL 173.478818 209.43479 \nL 171.326843 209.979921 \nL 168.968022 210.353591 \nL 166.384566 210.530545 \nL 163.557835 210.480746 \nL 160.468604 210.168706 \nL 157.097444 209.552759 \nL 153.425283 208.584397 \nL 149.434173 207.207723 \nL 145.108327 205.359121 \nL 140.435476 202.967373 \nL 135.408643 199.954391 \nL 130.028331 196.236944 \nL 124.305225 191.729678 \nL 118.263346 186.349931 \nL 111.943624 180.024696 \nL 105.407677 172.700021 \nL 98.741484 164.352934 \nL 92.05843 155.005277 \nL 85.500976 144.738307 \nL 79.24017 133.705827 \nL 73.471976 122.14272 \nL 68.409714 110.365214 \nL 64.272269 98.759518 \nL 61.268521 87.756901 \nL 59.579311 77.796282 \nL 59.339366 69.279097 \nL 60.621896 62.524126 \nL 63.42899 57.731654 \nL 67.689458 54.964834 \nL 73.264943 54.151595 \nL 79.963014 55.105776 \nL 87.554935 57.561241 \nL 95.795091 61.210842 \nL 104.43922 65.742556 \nL 113.259374 70.86751 \nL 122.054499 76.337827 \nL 130.65661 81.95456 \nL 138.932911 87.568116 \nL 146.784941 93.073434 \nL 154.145633 98.402617 \nL 160.975194 103.516769 \nL 167.25653 108.398313 \nL 172.990695 113.044388 \nL 178.192689 117.461567 \nL 182.887758 121.661879 \nL 187.108272 125.659991 \nL 190.891161 129.471251 \nL 194.275894 133.110528 \nL 197.302898 136.591448 \nL 200.012388 139.926087 \nL 202.443515 143.124815 \nL 206.618686 149.147804 \nL 210.103168 154.711939 \nL 218.632105 168.871548 \nL 221.420877 172.739673 \nL 222.886372 174.500643 \nL 224.42007 176.138563 \nL 226.036793 177.646009 \nL 227.7509 179.014023 \nL 229.576372 180.231938 \nL 231.526875 181.287142 \nL 233.615776 182.164881 \nL 235.856108 182.848013 \nL 238.260482 183.316774 \nL 240.840931 183.548569 \nL 243.608664 183.517782 \nL 246.573725 183.195667 \nL 249.744555 182.550349 \nL 253.127401 181.546992 \nL 256.725593 180.148195 \nL 260.538663 178.314726 \nL 264.561301 176.006663 \nL 268.782139 173.185073 \nL 273.182426 169.814333 \nL 277.73458 165.865135 \nL 282.400785 161.318274 \nL 287.131673 156.169064 \nL 291.865336 150.432286 \nL 296.526822 144.1472 \nL 301.028438 137.382105 \nL 305.271067 130.237613 \nL 309.146719 122.847768 \nL 312.542514 115.378046 \nL 315.345981 108.019614 \nL 317.451486 100.9796 \nL 318.767269 94.467896 \nL 319.222421 88.681802 \nL 318.77293 83.790336 \nL 317.405975 79.920775 \nL 315.141876 77.149228 \nL 312.033285 75.496936 \nL 308.161757 74.932458 \nL 303.63216 75.379264 \nL 298.565611 76.72684 \nL 293.091861 78.843526 \nL 287.34196 81.589047 \nL 281.441845 84.825236 \nL 275.507272 88.424106 \nL 269.640312 92.273037 \nL 263.927309 96.27732 \nL 258.438205 100.360505 \nL 253.226858 104.463266 \nL 248.332154 108.541408 \nL 243.779597 112.563384 \nL 239.583163 116.507788 \nL 235.747214 120.361073 \nL 232.268384 124.115487 \nL 229.137311 127.767452 \nL 226.340185 131.316222 \nL 223.860101 134.762906 \nL 221.678184 138.109706 \nL 219.774532 141.359425 \nL 218.128958 144.515096 \nL 216.721584 147.579752 \nL 215.533286 150.556283 \nL 214.546023 153.447339 \nL 213.74307 156.255333 \nL 213.10917 158.982367 \nL 212.630623 161.630262 \nL 212.295331 164.200557 \nL 212.092798 166.694496 \nL 212.014117 169.113045 \nL 212.051926 171.456875 \nL 212.455005 175.921494 \nL 212.812826 178.041997 \nL 213.272126 180.08712 \nL 213.832495 182.055691 \nL 214.494766 183.946007 \nL 215.260974 185.755766 \nL 216.134331 187.481965 \nL 217.119199 189.12078 \nL 218.221072 190.667436 \nL 219.446567 192.116036 \nL 220.803401 193.459369 \nL 222.300386 194.68869 \nL 223.947402 195.793448 \nL 225.755366 196.761006 \nL 227.736184 197.576282 \nL 229.902666 198.221384 \nL 232.268413 198.67519 \nL 234.847638 198.912889 \nL 237.654919 198.905526 \nL 240.704853 198.619545 \nL 244.011603 198.016381 \nL 247.588259 197.052163 \nL 251.446044 195.677594 \nL 255.59327 193.838154 \nL 260.034042 191.474742 \nL 264.766655 188.524988 \nL 269.781677 184.925415 \nL 275.059758 180.614741 \nL 280.569128 175.538538 \nL 286.263023 169.655392 \nL 292.077152 162.944636 \nL 297.927518 155.415332 \nL 303.709069 147.115885 \nL 309.295666 138.143148 \nL 314.541868 128.649248 \nL 319.287195 118.844193 \nL 323.363014 108.991975 \nL 326.602144 99.398765 \nL 328.850536 90.392729 \nL 329.979921 82.29709 \nL 329.899872 75.399817 \nL 328.567398 69.925079 \nL 325.992456 66.011696 \nL 322.238371 63.702628 \nL 317.416981 62.947298 \nL 311.67929 63.615556 \nL 305.203146 65.519516 \nL 298.17977 68.438838 \nL 290.800959 72.144663 \nL 283.248205 76.41914 \nL 275.684632 81.068889 \nL 268.249865 85.932262 \nL 261.057674 90.881388 \nL 254.195816 95.820486 \nL 247.727563 100.681908 \nL 241.69424 105.42116 \nL 236.118344 110.011747 \nL 231.006817 114.440476 \nL 226.354207 118.703518 \nL 222.145575 122.803199 \nL 218.35904 126.745613 \nL 214.967943 130.538865 \nL 211.942623 134.191883 \nL 209.251843 137.713631 \nL 206.863902 141.112627 \nL 204.747478 144.396687 \nL 202.872237 147.572824 \nL 201.209259 150.647212 \nL 198.412995 156.511622 \nL 196.163132 162.024901 \nL 194.293759 167.213008 \nL 188.933402 183.035759 \nL 187.339044 186.918395 \nL 185.56842 190.513538 \nL 183.545469 193.806721 \nL 182.414833 195.332529 \nL 181.190957 196.77201 \nL 179.862865 198.119433 \nL 178.418972 199.367713 \nL 176.847001 200.508177 \nL 175.133923 201.530284 \nL 173.265908 202.421299 \nL 171.228309 203.165912 \nL 169.00567 203.74582 \nL 166.581793 204.13924 \nL 163.939853 204.320384 \nL 161.062605 204.258912 \nL 157.932686 203.919348 \nL 154.533048 203.260554 \nL 150.847579 202.235265 \nL 146.861924 200.789813 \nL 142.564559 198.864161 \nL 137.948177 196.392393 \nL 133.011435 193.303925 \nL 127.761068 189.525676 \nL 122.214386 184.985529 \nL 116.402144 179.617388 \nL 110.37162 173.368136 \nL 104.189677 166.206497 \nL 97.945547 158.133688 \nL 91.752744 149.195071 \nL 85.749518 139.491576 \nL 80.097148 129.188695 \nL 74.975392 118.520541 \nL 70.574616 107.786135 \nL 67.08461 97.335739 \nL 64.680756 87.546683 \nL 63.508877 78.79044 \nL 63.670822 71.395591 \nL 65.21303 65.61298 \nL 68.120208 61.590038 \nL 72.315325 59.359527 \nL 77.666044 58.844402 \nL 83.996478 59.876796 \nL 91.102295 62.226318 \nL 98.766758 65.631198 \nL 106.775616 69.826755 \nL 114.929265 74.567461 \nL 123.051385 79.64111 \nL 130.993974 84.875355 \nL 138.639211 90.138305 \nL 145.898814 95.334985 \nL 152.711704 100.401725 \nL 159.040634 105.299698 \nL 164.868392 110.008753 \nL 170.193966 114.521999 \nL 175.028954 118.84137 \nL 179.394356 122.974253 \nL 183.317828 126.931001 \nL 186.83141 130.723172 \nL 189.969687 134.36244 \nL 192.768353 137.859856 \nL 195.263111 141.225505 \nL 197.488873 144.468297 \nL 199.479188 147.595961 \nL 202.878809 153.531168 \nL 205.692637 159.071631 \nL 210.326602 169.063825 \nL 212.459055 173.536607 \nL 214.64111 177.658314 \nL 216.984418 181.414106 \nL 218.249243 183.146633 \nL 219.59313 184.775961 \nL 221.028718 186.295908 \nL 222.568737 187.698909 \nL 224.226096 188.975804 \nL 226.01395 190.115588 \nL 227.945749 191.105139 \nL 230.035236 191.928916 \nL 232.296411 192.568622 \nL 234.743438 193.002841 \nL 237.390486 193.206667 \nL 240.251482 193.151352 \nL 243.339757 192.803986 \nL 246.667562 192.127265 \nL 250.245443 191.0794 \nL 254.081416 189.61427 \nL 258.17993 187.681916 \nL 262.540612 185.229528 \nL 267.156742 182.203078 \nL 272.0135 178.549793 \nL 277.085987 174.221657 \nL 282.337126 169.180053 \nL 287.715583 163.401614 \nL 293.153868 156.885154 \nL 298.567018 149.659235 \nL 303.852118 141.789735 \nL 308.889197 133.386194 \nL 313.54381 124.605552 \nL 317.67173 115.651597 \nL 321.125766 106.768813 \nL 323.764538 98.229697 \nL 325.462525 90.316106 \nL 326.1204 83.296261 \nL 325.674227 77.400648 \nL 324.102232 72.800769 \nL 321.427987 69.594434 \nL 317.719413 67.800223 \nL 313.083703 67.361722 \nL 307.658962 68.160148 \nL 301.603767 70.032475 \nL 295.086138 72.791392 \nL 288.273187 76.244038 \nL 281.32245 80.207043 \nL 274.37543 84.516922 \nL 267.553539 89.035795 \nL 260.956167 93.653088 \nL 254.660579 98.28437 \nL 248.723119 102.868433 \nL 243.181277 107.363374 \nL 238.056239 111.742625 \nL 233.35561 115.991218 \nL 229.076068 120.102525 \nL 225.205825 124.075673 \nL 221.726825 127.913494 \nL 218.616621 131.620995 \nL 215.849944 135.204326 \nL 213.399975 138.670032 \nL 211.239356 142.024592 \nL 209.340965 145.274148 \nL 207.678494 148.424384 \nL 206.226857 151.480429 \nL 204.962468 154.446903 \nL 202.909506 160.127208 \nL 201.365278 165.493373 \nL 200.202846 170.568161 \nL 199.320205 175.370584 \nL 198.349311 182.098835 \nL 197.21453 192.158706 \nL 196.192196 200.93243 \nL 195.464303 205.641863 \nL 194.554975 209.966272 \nL 193.80521 212.644077 \nL 192.905222 215.160966 \nL 191.818365 217.516397 \nL 190.500453 219.705601 \nL 188.897731 221.717735 \nL 186.944542 223.533089 \nL 185.812091 224.3574 \nL 184.560623 225.118914 \nL 183.17733 225.810481 \nL 181.648105 226.423206 \nL 179.957436 226.946079 \nL 178.088325 227.365512 \nL 176.022203 227.664814 \nL 173.738882 227.823535 \nL 171.216543 227.816725 \nL 168.431777 227.614049 \nL 165.359728 227.178799 \nL 161.974334 226.466773 \nL 158.248764 225.425094 \nL 154.156049 223.990985 \nL 149.670059 222.090661 \nL 144.766826 219.638464 \nL 139.426409 216.536554 \nL 133.635365 212.675514 \nL 127.389942 207.936453 \nL 120.700119 202.19525 \nL 113.594473 195.329792 \nL 106.125802 187.231038 \nL 98.377232 177.818556 \nL 90.468197 167.06064 \nL 82.559333 154.998053 \nL 74.854972 141.768847 \nL 67.601591 127.629628 \nL 61.080408 112.966673 \nL 55.593017 98.289518 \nL 51.439678 84.201127 \nL 48.89188 71.343041 \nL 48.162789 60.321688 \nL 49.38044 51.629152 \nL 52.569364 45.576827 \nL 57.644788 42.258618 \nL 64.421004 41.552488 \nL 72.632057 43.1578 \nL 81.960423 46.65624 \nL 92.068012 51.579569 \nL 102.624311 57.469422 \nL 113.328312 63.919965 \nL 123.922671 70.601145 \nL 144.005776 83.740216 \nL 161.807773 95.746809 \nL 176.919234 106.283914 \nL 189.373029 115.41986 \nL 194.685761 119.52666 \nL 199.450773 123.364032 \nL 203.719478 126.958424 \nL 210.978233 133.508516 \nL 216.871936 139.323181 \nL 223.959424 146.860313 \nL 229.864984 153.087979 \nL 233.55592 156.508618 \nL 235.401553 157.987722 \nL 237.274674 159.303952 \nL 239.193202 160.448975 \nL 241.173086 161.41304 \nL 243.228399 162.184981 \nL 245.371355 162.752244 \nL 247.612284 163.100965 \nL 249.959556 163.216034 \nL 252.419431 163.081302 \nL 254.995853 162.679783 \nL 257.690186 161.994072 \nL 260.500872 161.006804 \nL 263.423053 159.701328 \nL 266.448125 158.062575 \nL 269.56328 156.078087 \nL 272.751058 153.739272 \nL 275.988878 151.042846 \nL 279.248717 147.992456 \nL 282.496883 144.600321 \nL 285.694015 140.888841 \nL 288.795326 136.89204 \nL 291.751187 132.656564 \nL 294.50815 128.242102 \nL 297.010347 123.720943 \nL 299.201344 119.176551 \nL 301.026356 114.701043 \nL 302.434755 110.391585 \nL 303.382657 106.345908 \nL 303.835492 102.657306 \nL 303.770165 99.40952 \nL 303.176779 96.672055 \nL 302.059587 94.496543 \nL 300.437142 92.914388 \nL 298.341552 91.936056 \nL 295.816986 91.551961 \nL 292.917486 91.734794 \nL 289.704362 92.44278 \nL 286.243363 93.623637 \nL 282.60188 95.218633 \nL 278.846372 97.166302 \nL 275.040154 99.405692 \nL 271.24168 101.878887 \nL 267.50327 104.532742 \nL 263.870369 107.319905 \nL 260.381221 110.199279 \nL 257.066923 113.135957 \nL 253.951747 116.100863 \nL 251.053684 119.07016 \nL 248.38512 122.024541 \nL 245.953589 124.948541 \nL 243.762531 127.829828 \nL 241.812057 130.658556 \nL 240.099656 133.426821 \nL 238.620838 136.128155 \nL 237.369731 138.757162 \nL 236.339568 141.309133 \nL 235.523119 143.779811 \nL 234.913057 146.165129 \nL 234.502249 148.46106 \nL 234.283978 150.663411 \nL 234.252132 152.767714 \nL 234.401319 154.769091 \nL 234.726962 156.662124 \nL 235.225348 158.440757 \nL 235.893639 160.098178 \nL 236.729858 161.626703 \nL 237.732841 163.017653 \nL 238.902166 164.261268 \nL 240.238056 165.346584 \nL 241.741236 166.261305 \nL 243.412774 166.991757 \nL 245.25388 167.522794 \nL 247.265654 167.837777 \nL 249.448797 167.918601 \nL 251.803272 167.745767 \nL 254.327896 167.298607 \nL 257.019878 166.555562 \nL 259.874293 165.494703 \nL 262.883483 164.094357 \nL 266.036422 162.334028 \nL 269.318032 160.195584 \nL 272.708467 157.664664 \nL 276.182465 154.732425 \nL 279.708709 151.397518 \nL 283.249408 147.668193 \nL 286.760027 143.564503 \nL 290.189392 139.120321 \nL 293.48019 134.384944 \nL 296.569942 129.423992 \nL 299.392573 124.319303 \nL 301.880551 119.167519 \nL 303.967568 114.077183 \nL 305.591614 109.164369 \nL 306.698297 104.547028 \nL 307.244098 100.338421 \nL 307.199303 96.640422 \nL 306.550238 93.537272 \nL 305.300587 91.090668 \nL 303.471622 89.336702 \nL 301.101313 88.284981 \nL 298.242331 87.920023 \nL 294.959244 88.204453 \nL 291.325131 89.083599 \nL 287.417983 90.490786 \nL 283.317151 92.352646 \nL 279.100177 94.59395 \nL 274.840116 97.141615 \nL 270.603506 99.927592 \nL 266.449 102.890842 \nL 262.426626 105.97828 \nL 258.577557 109.144993 \nL 254.93435 112.353893 \nL 251.521485 115.575031 \nL 248.35615 118.784687 \nL 245.449147 121.964384 \nL 242.805848 125.099952 \nL 240.427158 128.180625 \nL 238.310419 131.198281 \nL 236.450255 134.146787 \nL 234.839333 137.021453 \nL 233.46901 139.818576 \nL 232.329902 142.535124 \nL 231.412347 145.168407 \nL 230.706799 147.71591 \nL 230.20413 150.175068 \nL 229.895869 152.543163 \nL 229.77439 154.817153 \nL 229.833036 156.993612 \nL 230.066207 159.068569 \nL 230.46941 161.037442 \nL 231.039281 162.894928 \nL 231.773573 164.634867 \nL 232.67113 166.250139 \nL 233.731824 167.732534 \nL 234.956486 169.072609 \nL 236.346795 170.25957 \nL 237.905157 171.281093 \nL 239.634551 172.123199 \nL 241.538327 172.770129 \nL 243.619987 173.204219 \nL 245.88289 173.405835 \nL 248.329913 173.353372 \nL 250.963056 173.02329 \nL 253.782941 172.390349 \nL 256.788259 171.427921 \nL 259.975109 170.108561 \nL 263.336261 168.404849 \nL 266.860321 166.290498 \nL 270.530851 163.741876 \nL 274.325429 160.739893 \nL 278.21477 157.272321 \nL 282.16189 153.336461 \nL 286.121487 148.942064 \nL 290.039616 144.114332 \nL 293.853805 138.896688 \nL 297.493751 133.352915 \nL 300.882721 127.568257 \nL 303.93974 121.648933 \nL 306.582604 115.719791 \nL 308.731579 109.919718 \nL 310.313661 104.394977 \nL 311.266989 99.29089 \nL 311.545099 94.742547 \nL 311.120458 90.865772 \nL 309.986932 87.749303 \nL 308.160789 85.449402 \nL 305.680172 83.987502 \nL 302.602972 83.351107 \nL 299.003429 83.497657 \nL 294.967842 84.360555 \nL 290.589785 85.856366 \nL 285.965391 87.892389 \nL 281.188999 90.373401 \nL 276.349575 93.207258 \nL 271.527941 96.309011 \nL 266.794934 99.603452 \nL 262.21045 103.02634 \nL 257.823165 106.524502 \nL 253.670904 110.055198 \nL 249.781395 113.585003 \nL 246.173324 117.088495 \nL 242.857534 120.546815 \nL 239.838282 123.946346 \nL 237.114474 127.277559 \nL 234.68082 130.533956 \nL 232.528876 133.71129 \nL 230.647982 136.806843 \nL 229.02605 139.818968 \nL 227.650233 142.746643 \nL 226.50748 145.589207 \nL 225.58498 148.346143 \nL 224.870508 151.016887 \nL 224.352699 153.600711 \nL 224.021236 156.096641 \nL 223.867005 158.503363 \nL 223.882173 160.819138 \nL 224.060258 163.041736 \nL 224.396147 165.168363 \nL 224.8861 167.195564 \nL 225.527733 169.11914 \nL 226.319982 170.934028 \nL 227.263062 172.634181 \nL 228.35841 174.212433 \nL 229.608606 175.660334 \nL 231.017298 176.967982 \nL 232.58909 178.123845 \nL 234.329424 179.114549 \nL 236.244421 179.924649 \nL 238.340706 180.536443 \nL 240.625154 180.929772 \nL 243.104616 181.081814 \nL 245.785543 180.966983 \nL 248.673557 180.5569 \nL 251.772887 179.820468 \nL 255.085725 178.724129 \nL 258.611428 177.232424 \nL 262.345605 175.308829 \nL 266.279038 172.917033 \nL 270.396514 170.022733 \nL 274.675544 166.596008 \nL 279.085055 162.614363 \nL 283.584125 158.066355 \nL 288.120946 152.955772 \nL 292.632071 147.306076 \nL 297.042307 141.164717 \nL 301.265324 134.606759 \nL 305.205302 127.737043 \nL 308.759748 120.690169 \nL 311.823494 113.627487 \nL 314.293911 106.730721 \nL 316.076852 100.192215 \nL 317.093058 94.202525 \nL 317.284156 88.936532 \nL 316.617683 84.540021 \nL 315.090345 81.118606 \nL 312.729082 78.730618 \nL 309.589736 77.385185 \nL 305.753437 77.045239 \nL 301.321264 77.63494 \nL 296.407729 79.049878 \nL 291.133959 81.168439 \nL 285.62123 83.862615 \nL 279.985356 87.007139 \nL 274.332367 90.486308 \nL 268.755523 94.198334 \nL 263.333609 98.057389 \nL 258.130413 101.993813 \nL 253.195082 105.953182 \nL 248.563167 109.894477 \nL 244.258051 113.787987 \nL 240.292629 117.613102 \nL 236.671047 121.356302 \nL 233.390392 125.009377 \nL 230.442274 128.567974 \nL 227.814234 132.030417 \nL 225.490962 135.396804 \nL 223.45535 138.668329 \nL 221.689344 141.846811 \nL 220.174642 144.934355 \nL 218.893243 147.933123 \nL 217.827866 150.845191 \nL 216.962264 153.672427 \nL 216.281451 156.416474 \nL 215.771845 159.078702 \nL 215.421371 161.660163 \nL 215.219503 164.161613 \nL 215.157281 166.583454 \nL 215.227301 168.925753 \nL 215.423688 171.188184 \nL 215.742056 173.369992 \nL 216.17947 175.469961 \nL 216.734393 177.486341 \nL 217.40665 179.416777 \nL 218.197375 181.258217 \nL 219.108978 183.006801 \nL 220.145101 184.657729 \nL 221.310582 186.205128 \nL 222.611424 187.641848 \nL 224.05475 188.959284 \nL 225.64876 190.147125 \nL 227.402673 191.193091 \nL 229.326646 192.082638 \nL 231.431674 192.798623 \nL 233.729449 193.320957 \nL 236.232163 193.626228 \nL 238.952249 193.687317 \nL 241.902022 193.473057 \nL 245.093236 192.947942 \nL 248.536474 192.07194 \nL 252.240383 190.800519 \nL 256.210718 189.084946 \nL 260.449154 186.873012 \nL 264.951868 184.11034 \nL 269.707842 180.742432 \nL 274.696953 176.717682 \nL 279.887883 171.991509 \nL 285.235959 166.531699 \nL 290.681092 160.32493 \nL 296.146098 153.384226 \nL 301.535724 145.756788 \nL 306.736805 137.53121 \nL 311.620024 128.842788 \nL 316.043559 119.875294 \nL 319.859001 110.857585 \nL 322.919339 102.05397 \nL 325.088674 93.747949 \nL 326.252712 86.220597 \nL 326.328849 79.726116 \nL 325.274363 74.468313 \nL 323.091484 70.582046 \nL 319.828375 68.123118 \nL 315.575871 67.067991 \nL 310.460362 67.323046 \nL 304.634 68.740874 \nL 298.263602 71.140248 \nL 291.519646 74.326088 \nL 284.566614 78.10672 \nL 277.555399 82.306582 \nL 270.618091 86.774148 \nL 263.865098 91.385318 \nL 257.384261 96.043392 \nL 251.241577 100.676721 \nL 245.482945 105.235035 \nL 240.136602 109.685398 \nL 235.215827 114.008204 \nL 230.721697 118.193675 \nL 226.645673 122.238892 \nL 222.971955 126.145501 \nL 219.67952 129.917923 \nL 216.743847 133.562138 \nL 214.138332 137.084767 \nL 211.835416 140.492536 \nL 209.807468 143.791896 \nL 208.027449 146.988864 \nL 206.469393 150.088904 \nL 205.108742 153.096944 \nL 202.889621 158.854151 \nL 201.207528 164.29028 \nL 199.927677 169.429329 \nL 198.940906 174.291095 \nL 197.824895 181.100118 \nL 194.7486 201.75794 \nL 193.656362 206.361493 \nL 192.765083 209.206014 \nL 191.701368 211.872351 \nL 190.4225 214.357401 \nL 188.877503 216.652441 \nL 187.004871 218.74067 \nL 185.922973 219.698899 \nL 184.730026 220.593535 \nL 183.414202 221.418279 \nL 181.962495 222.16529 \nL 180.360625 222.824855 \nL 178.592956 223.384999 \nL 176.642416 223.831021 \nL 174.490442 224.144932 \nL 172.116957 224.304813 \nL 169.500396 224.284049 \nL 166.617795 224.050467 \nL 163.444993 223.565361 \nL 159.956943 222.782433 \nL 156.128238 221.646706 \nL 151.933878 220.093457 \nL 147.350333 218.047329 \nL 142.35707 215.421829 \nL 136.938536 212.119489 \nL 131.086811 208.033109 \nL 124.804946 203.048671 \nL 118.111056 197.05056 \nL 111.043185 189.929846 \nL 103.664691 181.596312 \nL 96.069858 171.99461 \nL 88.388998 161.124227 \nL 80.792034 149.061793 \nL 73.489278 135.982668 \nL 66.7278 122.176917 \nL 60.781978 108.05341 \nL 55.937519 94.125806 \nL 52.469264 80.976496 \nL 50.614847 69.199507 \nL 50.548065 59.330459 \nL 52.356588 51.777214 \nL 56.028818 46.767597 \nL 61.452892 44.326906 \nL 68.428203 44.290068 \nL 76.687077 46.342874 \nL 85.922135 50.080161 \nL 95.814377 55.065991 \nL 106.057711 60.884196 \nL 116.377327 67.172631 \nL 126.541026 73.640454 \nL 145.70901 86.316778 \nL 162.625677 97.928119 \nL 176.951 108.190583 \nL 183.149539 112.830247 \nL 188.742705 117.170716 \nL 193.771063 121.23751 \nL 198.280904 125.055937 \nL 202.321549 128.649487 \nL 205.943319 132.038962 \nL 212.127993 138.273689 \nL 217.21099 143.866434 \nL 228.961767 157.25902 \nL 230.736216 159.002815 \nL 232.52392 160.59785 \nL 234.34472 162.03736 \nL 236.216634 163.313106 \nL 238.15599 164.415358 \nL 240.177505 165.332825 \nL 242.294313 166.052656 \nL 244.517973 166.560394 \nL 246.858372 166.840022 \nL 249.323607 166.874028 \nL 251.919775 166.643544 \nL 254.6507 166.12862 \nL 257.517565 165.308607 \nL 260.518503 164.162685 \nL 263.648092 162.670664 \nL 266.896795 160.813924 \nL 270.250382 158.576696 \nL 273.689297 155.947565 \nL 277.18812 152.92124 \nL 280.715081 149.500553 \nL 284.231727 145.698526 \nL 287.692897 141.54043 \nL 291.046955 137.065582 \nL 294.236514 132.328645 \nL 297.199648 127.40014 \nL 299.871632 122.365817 \nL 302.187246 117.324777 \nL 304.083538 112.386081 \nL 305.502935 107.664043 \nL 306.396451 103.27242 \nL 306.726751 99.317969 \nL 306.470749 95.894144 \nL 305.621459 93.075424 \nL 304.188934 90.91327 \nL 302.200041 89.433879 \nL 299.697233 88.638132 \nL 296.736345 88.503543 \nL 293.383645 88.987876 \nL 289.712456 90.033818 \nL 285.799704 91.574179 \nL 281.722566 93.536775 \nL 277.555561 95.848904 \nL 273.368164 98.440871 \nL 269.223057 101.248453 \nL 265.174987 104.214507 \nL 261.270219 107.28965 \nL 257.546454 110.432308 \nL 254.033163 113.608264 \nL 250.752187 116.789951 \nL 247.718538 119.955544 \nL 244.941276 123.088021 \nL 242.424465 126.174273 \nL 240.168073 129.204292 \nL 238.168846 132.170441 \nL 236.421097 135.066875 \nL 234.917417 137.889011 \nL 233.649281 140.633163 \nL 232.607569 143.296176 \nL 231.783007 145.875207 \nL 231.166517 148.3675 \nL 230.749493 150.770213 \nL 230.524028 153.080295 \nL 230.483066 155.294349 \nL 230.620525 157.408527 \nL 230.931361 159.418409 \nL 231.411621 161.318925 \nL 232.058431 163.104208 \nL 232.869999 164.767504 \nL 233.845557 166.301043 \nL 234.985306 167.695906 \nL 236.290315 168.941885 \nL 237.762413 170.027345 \nL 239.404046 170.939109 \nL 241.218093 171.662308 \nL 243.207653 172.180275 \nL 245.375788 172.474456 \nL 247.7252 172.524403 \nL 250.25786 172.307812 \nL 252.974566 171.800677 \nL 255.874407 170.977574 \nL 258.95417 169.812142 \nL 262.207632 168.277799 \nL 265.624808 166.348751 \nL 269.191089 164.001304 \nL 272.88638 161.215586 \nL 276.684211 157.977627 \nL 280.550939 154.2818 \nL 284.445056 150.13356 \nL 288.316803 145.552311 \nL 292.108135 140.574126 \nL 295.753164 135.254043 \nL 299.179317 129.66746 \nL 302.309121 123.910273 \nL 305.062871 118.097254 \nL 307.361923 112.358448 \nL 309.132623 106.833524 \nL 310.310505 101.664344 \nL 310.844503 96.986377 \nL 310.700592 92.91988 \nL 309.864617 89.561847 \nL 308.34381 86.979927 \nL 306.16687 85.20891 \nL 303.382519 84.250347 \nL 300.056743 84.075111 \nL 296.268942 84.628318 \nL 292.107525 85.835889 \nL 287.665297 87.611614 \nL 283.035119 89.864056 \nL 278.306102 92.502372 \nL 273.560604 95.440926 \nL 268.872063 98.602405 \nL 264.303701 101.919505 \nL 259.907965 105.335542 \nL 255.726603 108.804186 \nL 251.791234 112.28855 \nL 248.12423 115.760065 \nL 244.739823 119.197114 \nL 241.645284 122.583747 \nL 238.842139 125.908501 \nL 236.327305 129.16332 \nL 234.094169 132.342701 \nL 232.133537 135.442952 \nL 230.434459 138.461651 \nL 228.984946 141.397182 \nL 227.772554 144.248434 \nL 226.784869 147.014517 \nL 226.009889 149.69459 \nL 225.436328 152.287696 \nL 225.053834 154.792677 \nL 224.853164 157.20805 \nL 224.826289 159.531939 \nL 224.96647 161.762 \nL 225.268303 163.895315 \nL 225.72772 165.928334 \nL 226.341987 167.856751 \nL 227.109676 169.675419 \nL 228.030619 171.378213 \nL 229.105853 172.9579 \nL 230.33755 174.405983 \nL 231.728926 175.712549 \nL 233.284142 176.866068 \nL 235.008171 177.853193 \nL 236.906644 178.658595 \nL 238.985648 179.264735 \nL 241.2515 179.651691 \nL 243.710448 179.796997 \nL 246.368294 179.675545 \nL 249.229973 179.259587 \nL 252.298987 178.518839 \nL 255.576758 177.420797 \nL 259.061863 175.931283 \nL 262.749125 174.015314 \nL 266.628584 171.638397 \nL 270.684353 168.768324 \nL 274.893404 165.37749 \nL 279.224347 161.44584 \nL 283.636233 156.96439 \nL 288.077607 151.939186 \nL 292.485907 146.395479 \nL 296.787387 140.381744 \nL 300.897851 133.972938 \nL 304.724298 127.272373 \nL 308.16772 120.411402 \nL 311.12699 113.546356 \nL 313.503854 106.852259 \nL 315.208625 100.513523 \nL 316.166199 94.712081 \nL 316.32171 89.614435 \nL 315.645175 85.359057 \nL 314.13452 82.046168 \nL 311.816499 79.731168 \nL 308.745358 78.422822 \nL 304.99944 78.086243 \nL 300.676062 78.649746 \nL 295.885395 80.014412 \nL 290.744019 82.064673 \nL 285.368767 84.678533 \nL 279.871419 87.736137 \nL 274.354566 91.126358 \nL 268.908684 94.750929 \nL 263.610507 98.526489 \nL 258.522456 102.384989 \nL 253.692923 106.272825 \nL 249.157212 110.149226 \nL 244.938884 113.984302 \nL 241.051328 117.756992 \nL 237.499416 121.453173 \nL 234.281119 125.063955 \nL 231.389013 128.584297 \nL 228.811653 132.011845 \nL 226.534753 135.346062 \nL 224.542201 138.587562 \nL 222.816908 141.737645 \nL 221.34148 144.797938 \nL 220.098774 147.770154 \nL 219.072311 150.655967 \nL 218.246596 153.45686 \nL 217.60734 156.174106 \nL 217.141623 158.808691 \nL 216.837987 161.361304 \nL 216.686495 163.832278 \nL 216.678751 166.221615 \nL 216.807899 168.528894 \nL 217.068596 170.753271 \nL 217.456986 172.893428 \nL 217.970659 174.947488 \nL 218.608603 176.912963 \nL 219.371164 178.786659 \nL 220.259999 180.564546 \nL 221.278039 182.241677 \nL 222.429436 183.812001 \nL 223.719526 185.268198 \nL 225.154771 186.601485 \nL 226.742707 187.801387 \nL 228.491871 188.855486 \nL 230.411712 189.749128 \nL 232.512467 190.465112 \nL 234.805006 190.983381 \nL 237.300619 191.280642 \nL 240.01074 191.330068 \nL 242.946579 191.100976 \nL 246.118642 190.55861 \nL 249.536131 189.664036 \nL 253.206173 188.374243 \nL 257.132855 186.642543 \nL 261.316067 184.419394 \nL 265.750116 181.653799 \nL 270.422096 178.295426 \nL 275.31009 174.29762 \nL 280.38121 169.621491 \nL 285.589636 164.24105 \nL 290.874785 158.14938 \nL 296.159918 151.365541 \nL 301.351442 143.941651 \nL 306.339373 135.969148 \nL 310.999274 127.583078 \nL 315.196001 118.962918 \nL 318.789491 110.328586 \nL 321.642381 101.930709 \nL 323.629062 94.035116 \nL 324.645349 86.902729 \nL 324.617546 80.767293 \nL 323.509691 75.814435 \nL 321.327854 72.165408 \nL 318.1207 69.868568 \nL 313.976211 68.899652 \nL 309.015017 69.170476 \nL 303.381291 70.543849 \nL 297.232584 72.851616 \nL 290.729727 75.912684 \nL 284.027971 79.548622 \nL 277.270008 83.595351 \nL 270.581096 87.910359 \nL 264.066372 92.376069 \nL 257.809947 96.899975 \nL 251.875484 101.412685 \nL 246.307759 105.864732 \nL 241.134863 110.222922 \nL 236.370681 114.466741 \nL 232.01744 118.585119 \nL 228.068129 122.5737 \nL 224.508702 126.432687 \nL 221.320018 130.165142 \nL 218.479466 133.775819 \nL 215.96234 137.270269 \nL 213.742918 140.65429 \nL 211.79533 143.933585 \nL 210.094206 147.113531 \nL 208.615158 150.199075 \nL 207.335116 153.194714 \nL 206.232551 156.104515 \nL 204.482125 161.680793 \nL 203.225616 166.952957 \nL 202.351435 171.941648 \nL 201.772262 176.664386 \nL 201.421804 181.136449 \nL 201.222611 187.404025 \nL 201.326371 193.178957 \nL 201.682559 198.496959 \nL 202.2828 203.388588 \nL 202.83037 206.425204 \nL 203.513629 209.288723 \nL 204.355353 211.982407 \nL 205.385736 214.506683 \nL 206.643455 216.858028 \nL 208.177153 219.027278 \nL 210.047332 220.997097 \nL 211.131314 221.898673 \nL 212.328673 222.738206 \nL 213.651401 223.509252 \nL 215.112732 224.203782 \nL 216.727229 224.811845 \nL 218.510878 225.321164 \nL 220.481162 225.716643 \nL 222.657118 225.979798 \nL 225.059366 226.08807 \nL 227.710079 226.014029 \nL 230.632889 225.724475 \nL 233.852687 225.179406 \nL 237.395289 224.330913 \nL 241.286888 223.122018 \nL 245.553265 221.485574 \nL 250.218645 219.343313 \nL 255.304134 216.605331 \nL 260.825591 213.170268 \nL 266.790859 208.926674 \nL 273.19623 203.756125 \nL 280.022123 197.538865 \nL 287.227967 190.162684 \nL 294.746525 181.535864 \nL 302.478046 171.604439 \nL 310.284971 160.373471 \nL 317.988356 147.930644 \nL 325.367403 134.468668 \nL 332.163784 120.301194 \nL 338.092159 105.86544 \nL 342.857683 91.704922 \nL 346.179928 78.428659 \nL 347.820642 66.648703 \nL 347.611445 56.905479 \nL 345.476005 49.596229 \nL 341.442125 44.923994 \nL 335.640735 42.879665 \nL 328.291874 43.260392 \nL 319.680665 45.717311 \nL 310.128191 49.818388 \nL 299.9625 55.110733 \nL 289.494051 61.170942 \nL 278.997905 67.637464 \nL 268.703383 74.22539 \nL 249.389917 87.003656 \nL 232.440849 98.593373 \nL 218.148889 108.767864 \nL 211.979698 113.350366 \nL 206.419454 117.628689 \nL 201.424823 121.630083 \nL 196.947364 125.380938 \nL 192.936127 128.905356 \nL 186.107121 135.355918 \nL 180.541458 141.111517 \nL 173.789968 148.6096 \nL 169.918064 152.900409 \nL 166.26304 156.624128 \nL 164.453434 158.265072 \nL 162.626588 159.751361 \nL 160.763215 161.075658 \nL 158.845928 162.229158 \nL 156.859138 163.201586 \nL 154.788996 163.981182 \nL 152.62337 164.554693 \nL 150.351885 164.907433 \nL 147.966028 165.023325 \nL 145.4593 164.885081 \nL 142.827458 164.474414 \nL 140.0688 163.77239 \nL 137.184548 162.759947 \nL 134.179271 161.418571 \nL 131.061367 159.731143 \nL 127.843598 157.683083 \nL 124.543616 155.263672 \nL 121.184458 152.46764 \nL 117.794991 149.296889 \nL 114.410201 145.762357 \nL 111.071256 141.885888 \nL 107.825319 137.701853 \nL 104.724952 133.258398 \nL 101.827112 128.618036 \nL 99.191651 123.857283 \nL 96.879315 119.065242 \nL 94.949355 114.340878 \nL 93.456767 109.789081 \nL 92.449403 105.515715 \nL 91.965138 101.621985 \nL 92.029406 98.198676 \nL 92.653296 95.320958 \nL 93.832464 93.044174 \nL 95.546955 91.401297 \nL 97.762038 90.402164 \nL 100.429906 90.034603 \nL 103.492107 90.267077 \nL 106.882452 91.052509 \nL 110.53019 92.332782 \nL 114.363047 94.04323 \nL 118.310069 96.116839 \nL 122.304017 98.487757 \nL 126.283186 101.094019 \nL 130.192717 103.879268 \nL 133.985342 106.793863 \nL 137.621675 109.795157 \nL 141.070067 112.847374 \nL 144.306199 115.921092 \nL 147.31244 118.992522 \nL 150.077081 122.042711 \nL 152.593501 125.056722 \nL 154.859321 128.022871 \nL 156.875578 130.932031 \nL 158.645964 133.777016 \nL 160.176141 136.552103 \nL 161.473121 139.252585 \nL 162.544741 141.874454 \nL 163.399217 144.414092 \nL 164.044769 146.868073 \nL 164.489331 149.232962 \nL 164.740314 151.505163 \nL 164.804424 153.680789 \nL 164.687532 155.755527 \nL 164.394591 157.724533 \nL 163.929588 159.582316 \nL 163.295522 161.322638 \nL 162.494419 162.938378 \nL 161.527372 164.421434 \nL 160.394607 165.76258 \nL 159.095577 166.951369 \nL 157.629079 167.975973 \nL 155.993404 168.823113 \nL 154.186536 169.477917 \nL 152.206355 169.923872 \nL 150.050934 170.142778 \nL 147.718844 170.114781 \nL 145.209545 169.818447 \nL 142.523839 169.231023 \nL 139.66438 168.328789 \nL 136.636287 167.087595 \nL 133.447793 165.48368 \nL 130.110975 163.494695 \nL 126.642533 161.101091 \nL 123.064579 158.287806 \nL 119.40538 155.046278 \nL 115.700011 151.376745 \nL 111.990851 147.290709 \nL 108.327756 142.813383 \nL 104.767893 137.985958 \nL 101.375034 132.867251 \nL 98.218297 127.534442 \nL 95.370165 122.082563 \nL 92.903921 116.62236 \nL 90.89043 111.276375 \nL 89.394572 106.173428 \nL 88.471438 101.441639 \nL 88.1628 97.200786 \nL 88.49406 93.554744 \nL 89.472116 90.584882 \nL 91.084384 88.345358 \nL 93.299133 86.860781 \nL 96.067101 86.126539 \nL 99.324223 86.111498 \nL 102.995168 86.762685 \nL 106.997324 88.011095 \nL 111.244874 89.777863 \nL 115.652572 91.980128 \nL 120.139018 94.536004 \nL 124.629221 97.368425 \nL 129.056425 100.407696 \nL 133.363197 103.592972 \nL 137.50185 106.872726 \nL 141.434348 110.204484 \nL 145.13179 113.554116 \nL 148.573601 116.894792 \nL 151.746546 120.205883 \nL 154.643674 123.471829 \nL 157.263232 126.681083 \nL 159.607645 129.825224 \nL 161.682546 132.898167 \nL 163.495921 135.895519 \nL 165.057365 138.814075 \nL 166.37742 141.651405 \nL 167.467049 144.405537 \nL 168.337186 147.074741 \nL 168.998386 149.657293 \nL 169.460542 152.151365 \nL 169.732678 154.554892 \nL 169.822795 156.865453 \nL 169.73776 159.080185 \nL 169.483243 161.195684 \nL 169.063679 163.207901 \nL 168.482268 165.112072 \nL 167.740985 166.90257 \nL 166.840615 168.572813 \nL 165.780816 170.115097 \nL 164.560188 171.520485 \nL 163.176367 172.778645 \nL 161.626139 173.877673 \nL 159.905591 174.803923 \nL 158.010279 175.541877 \nL 155.93544 176.073929 \nL 153.676253 176.380309 \nL 151.228169 176.438973 \nL 148.587283 176.225578 \nL 145.750799 175.713582 \nL 142.717601 174.87449 \nL 139.488892 173.678267 \nL 136.068962 172.094016 \nL 132.466061 170.091013 \nL 128.693352 167.640103 \nL 124.76996 164.715538 \nL 120.722017 161.29732 \nL 116.583709 157.374023 \nL 112.398175 152.946041 \nL 108.218139 148.029056 \nL 104.10617 142.657542 \nL 100.134331 136.88782 \nL 96.383133 130.800236 \nL 92.939549 124.499783 \nL 89.894154 118.114697 \nL 87.337245 111.792572 \nL 85.354258 105.693831 \nL 84.020694 99.98282 \nL 83.397016 94.817334 \nL 83.524105 90.337596 \nL 84.419753 86.656246 \nL 86.076686 83.850693 \nL 88.462458 81.958789 \nL 91.521161 80.978525 \nL 95.176863 80.871454 \nL 99.338263 81.569068 \nL 103.904083 82.981174 \nL 108.768617 85.00472 \nL 113.826893 87.532215 \nL 118.979063 90.458656 \nL 124.133861 93.686807 \nL 129.210903 97.130478 \nL 134.142032 100.716201 \nL 138.871729 104.383514 \nL 143.356812 108.084211 \nL 147.565611 111.781071 \nL 151.476793 115.446211 \nL 155.077991 119.059434 \nL 158.364376 122.606635 \nL 161.337246 126.07836 \nL 164.002707 129.468629 \nL 166.370461 132.77395 \nL 168.452763 135.992542 \nL 170.26352 139.123776 \nL 171.817528 142.167697 \nL 173.129854 145.124718 \nL 174.215339 147.995384 \nL 175.088217 150.780232 \nL 175.761811 153.479623 \nL 176.248323 156.093722 \nL 176.558678 158.622375 \nL 176.702425 161.065075 \nL 176.687673 163.420913 \nL 176.521074 165.68853 \nL 176.207807 167.866032 \nL 175.751601 169.950951 \nL 175.154759 171.940127 \nL 174.418201 173.829649 \nL 173.541498 175.614721 \nL 172.522934 177.289538 \nL 171.359555 178.847131 \nL 170.04724 180.279197 \nL 168.580768 181.575926 \nL 166.953915 182.725757 \nL 165.159558 183.715155 \nL 163.189805 184.528369 \nL 161.036177 185.147149 \nL 158.689803 185.550495 \nL 156.141721 185.714407 \nL 153.383196 185.611661 \nL 150.406185 185.211687 \nL 147.203872 184.480541 \nL 143.771359 183.381055 \nL 140.10649 181.87326 \nL 136.210856 179.915147 \nL 132.090961 177.463903 \nL 127.759555 174.477717 \nL 123.237131 170.918298 \nL 118.553495 166.754164 \nL 113.749349 161.964802 \nL 108.877706 156.545533 \nL 104.005013 150.512938 \nL 99.211653 143.910372 \nL 94.591602 136.812909 \nL 90.250931 129.330805 \nL 86.30491 121.610468 \nL 82.873568 113.831896 \nL 80.075779 106.201875 \nL 78.02217 98.942753 \nL 76.807407 92.277515 \nL 76.50273 86.412635 \nL 77.149608 81.521111 \nL 78.75545 77.728289 \nL 81.292039 75.102622 \nL 84.696993 73.653008 \nL 88.878038 73.332677 \nL 93.719544 74.048585 \nL 99.090404 75.67443 \nL 104.85231 78.064906 \nL 110.86755 81.069061 \nL 117.005561 84.541341 \nL 123.147972 88.349568 \nL 129.191885 92.379552 \nL 135.051618 96.537064 \nL 140.659055 100.747566 \nL 145.962949 104.954461 \nL 150.927523 109.116661 \nL 155.530618 113.205778 \nL 159.761651 117.203383 \nL 163.619534 121.098596 \nL 167.110705 124.885992 \nL 170.247343 128.563955 \nL 173.045774 132.133364 \nL 175.525128 135.596659 \nL 177.706218 138.957132 \nL 179.61062 142.218448 \nL 181.259956 145.384376 \nL 182.675338 148.458534 \nL 183.876947 151.444327 \nL 184.883738 154.344875 \nL 185.713237 157.162992 \nL 186.381416 159.901184 \nL 186.902629 162.56167 \nL 187.553397 167.657049 \nL 187.748041 172.461682 \nL 187.544651 176.98419 \nL 186.978911 181.229225 \nL 186.066113 185.196813 \nL 184.802842 188.881235 \nL 184.033896 190.613447 \nL 183.168143 192.269126 \nL 182.200326 193.844957 \nL 181.124132 195.336744 \nL 179.932198 196.739233 \nL 178.616096 198.045952 \nL 177.166322 199.248969 \nL 175.572291 200.338639 \nL 173.822336 201.303302 \nL 171.903729 202.128936 \nL 169.80272 202.798763 \nL 167.504603 203.29279 \nL 164.993848 203.587329 \nL 162.254279 203.654456 \nL 159.269358 203.461457 \nL 156.022562 202.970277 \nL 152.497936 202.13705 \nL 148.680806 200.911724 \nL 144.558735 199.237951 \nL 140.122754 197.053354 \nL 135.368923 194.290371 \nL 130.300235 190.877927 \nL 124.928912 186.744212 \nL 119.279055 181.820892 \nL 113.389595 176.049041 \nL 107.317318 169.386941 \nL 101.139783 161.819736 \nL 94.957644 153.370486 \nL 88.895836 144.111615 \nL 83.102978 134.175052 \nL 77.748306 123.758863 \nL 73.015538 113.12748 \nL 69.09344 102.603254 \nL 66.163429 92.547707 \nL 64.385148 83.333215 \nL 63.881751 75.308132 \nL 64.727007 68.760853 \nL 66.936436 63.889614 \nL 70.46412 60.784015 \nL 75.205949 59.421818 \nL 81.008649 59.680988 \nL 87.683212 61.363324 \nL 95.020392 64.224164 \nL 102.806087 68.002059 \nL 110.834793 72.443906 \nL 118.919878 77.322761 \nL 126.900365 82.448118 \nL 134.644291 87.669273 \nL 142.049331 92.873837 \nL 149.041272 97.983176 \nL 155.571199 102.946396 \nL 161.611936 107.734102 \nL 167.154262 112.33268 \nL 172.203243 116.739449 \nL 176.774865 120.958792 \nL 180.893086 124.999282 \nL 184.587359 128.871589 \nL 187.890583 132.587059 \nL 190.837488 136.156832 \nL 193.46337 139.591288 \nL 195.803149 142.899766 \nL 197.890685 146.090477 \nL 201.436544 152.145873 \nL 204.336888 157.801865 \nL 207.914857 165.600195 \nL 212.086814 174.792958 \nL 214.209029 178.876363 \nL 216.502056 182.60187 \nL 217.744219 184.322476 \nL 219.066641 185.942173 \nL 220.481705 187.45492 \nL 222.00194 188.8533 \nL 223.640116 190.128324 \nL 225.409314 191.269175 \nL 227.322969 192.26293 \nL 229.394878 193.094248 \nL 231.639166 193.745024 \nL 234.070205 194.194012 \nL 236.702453 194.416454 \nL 239.550227 194.383677 \nL 242.627366 194.062762 \nL 245.946748 193.416254 \nL 249.519687 192.402026 \nL 253.355115 190.973377 \nL 257.458555 189.07942 \nL 261.830873 186.666009 \nL 266.466728 183.677259 \nL 271.35281 180.057946 \nL 276.465814 175.756927 \nL 281.770249 170.731752 \nL 287.216237 164.954576 \nL 292.737508 158.419219 \nL 298.24983 151.149065 \nL 303.650348 143.205075 \nL 308.818193 134.69276 \nL 313.616904 125.766707 \nL 317.898928 116.63079 \nL 321.51242 107.532687 \nL 324.310144 98.751519 \nL 326.159851 90.579026 \nL 326.955106 83.295802 \nL 326.625147 77.145937 \nL 325.142328 72.314043 \nL 322.525893 68.908991 \nL 318.841421 66.956997 \nL 314.195909 66.405206 \nL 308.729269 67.134376 \nL 302.603598 68.977596 \nL 295.991604 71.741317 \nL 289.065741 75.225193 \nL 281.989012 79.238242 \nL 274.908094 83.609971 \nL 267.948987 88.196588 \nL 261.214914 92.882908 \nL 254.786152 97.581188 \nL 248.721244 102.228048 \nL 243.059153 106.780343 \nL 237.821919 111.210975 \nL 233.017469 115.504933 \nL 228.642402 119.655881 \nL 224.684549 123.663427 \nL 221.125245 127.530949 \nL 217.941286 131.264055 \nL 215.106552 134.869441 \nL 212.593321 138.35416 \nL 210.373313 141.725139 \nL 208.418484 144.988914 \nL 206.701625 148.151464 \nL 205.196771 151.218206 \nL 203.87949 154.193972 \nL 201.71848 159.88928 \nL 200.058036 165.266353 \nL 198.765266 170.348432 \nL 197.285309 177.459329 \nL 193.527436 197.276638 \nL 192.631339 200.595809 \nL 191.59289 203.712891 \nL 190.368925 206.627313 \nL 188.910575 209.333556 \nL 187.160896 211.819122 \nL 186.156187 212.972628 \nL 185.052346 214.061541 \nL 183.838837 215.080778 \nL 182.504123 216.023969 \nL 181.035576 216.883217 \nL 179.419399 217.648762 \nL 177.640546 218.308628 \nL 175.682661 218.848171 \nL 173.528042 219.249566 \nL 171.157638 219.491183 \nL 168.551088 219.546909 \nL 165.686839 219.385337 \nL 162.542354 218.968905 \nL 159.094467 218.252954 \nL 155.319904 217.184785 \nL 151.196039 215.702782 \nL 146.701971 213.735718 \nL 141.819961 211.202472 \nL 136.537362 208.012398 \nL 130.849087 204.06674 \nL 124.760728 199.261581 \nL 118.292312 193.492916 \nL 111.482679 186.664449 \nL 104.39431 178.698648 \nL 97.118211 169.551335 \nL 89.778281 159.229357 \nL 82.53423 147.810044 \nL 75.581883 135.45963 \nL 69.149574 122.446555 \nL 63.489525 109.144256 \nL 58.863447 96.018418 \nL 55.522916 83.595466 \nL 53.686199 72.413325 \nL 53.514712 62.960885 \nL 55.093231 55.617705 \nL 58.417754 50.607284 \nL 63.393704 47.975073 \nL 69.845111 47.595647 \nL 77.532837 49.205532 \nL 86.178267 52.451959 \nL 95.488283 56.94536 \nL 105.177705 62.305086 \nL 114.986701 68.192202 \nL 124.692172 74.327734 \nL 134.113318 80.498114 \nL 151.592365 92.389503 \nL 166.778957 103.222033 \nL 173.447247 108.186516 \nL 179.508167 112.857708 \nL 184.98723 117.252813 \nL 189.919672 121.39271 \nL 194.347057 125.299137 \nL 198.314616 128.992935 \nL 201.869172 132.493031 \nL 205.057604 135.815938 \nL 210.517568 141.983486 \nL 215.03646 147.57802 \nL 224.090874 159.303502 \nL 227.417575 163.094487 \nL 229.110307 164.784268 \nL 230.848115 166.328475 \nL 232.648301 167.718937 \nL 234.526879 168.945942 \nL 236.498662 169.998113 \nL 238.577304 170.862294 \nL 240.775292 171.523471 \nL 243.103896 171.964708 \nL 245.573024 172.16708 \nL 248.191037 172.109718 \nL 250.964459 171.769905 \nL 253.89761 171.12331 \nL 256.99214 170.144395 \nL 260.246468 168.806999 \nL 263.655132 167.085202 \nL 267.208053 164.954528 \nL 270.889727 162.393419 \nL 274.678407 159.385188 \nL 278.545282 155.920285 \nL 282.453796 151.998883 \nL 286.35913 147.633708 \nL 290.208012 142.852852 \nL 293.938963 137.702293 \nL 297.483111 132.247754 \nL 300.765693 126.575486 \nL 303.708337 120.791498 \nL 306.232033 115.018905 \nL 308.260825 109.393274 \nL 309.725895 104.055977 \nL 310.569809 99.146101 \nL 310.750463 94.791671 \nL 310.244341 91.101136 \nL 309.048644 88.156286 \nL 307.182107 86.007489 \nL 304.684245 84.671797 \nL 301.613194 84.134205 \nL 298.042358 84.351504 \nL 294.05621 85.25813 \nL 289.745782 86.773115 \nL 285.204129 88.807091 \nL 280.522307 91.268641 \nL 275.785936 94.069563 \nL 271.072691 97.128564 \nL 266.45057 100.373709 \nL 261.977021 103.743435 \nL 257.698727 107.186703 \nL 253.651967 110.662351 \nL 249.863344 114.138076 \nL 246.350814 117.589124 \nL 243.124825 120.997018 \nL 240.189523 124.348277 \nL 237.543927 127.633322 \nL 235.183038 130.845494 \nL 233.098836 133.980287 \nL 231.281177 137.034695 \nL 229.718555 140.006739 \nL 228.398738 142.895068 \nL 227.309307 145.69867 \nL 226.438085 148.416672 \nL 225.773465 151.048157 \nL 225.304679 153.592042 \nL 225.021989 156.046971 \nL 224.916821 158.411239 \nL 224.981858 160.682693 \nL 225.211094 162.858654 \nL 225.599855 164.935851 \nL 226.144806 166.910301 \nL 226.843928 168.777232 \nL 227.696478 170.53094 \nL 228.702945 172.164679 \nL 229.864982 173.670516 \nL 231.185323 175.039172 \nL 232.667695 176.259814 \nL 234.316694 177.319917 \nL 236.137634 178.205043 \nL 238.136386 178.898638 \nL 240.319139 179.381842 \nL 242.692152 179.633329 \nL 245.261408 179.629195 \nL 248.032203 179.34287 \nL 251.008656 178.745227 \nL 254.193095 177.804758 \nL 257.585348 176.48803 \nL 261.181889 174.760425 \nL 264.974868 172.587239 \nL 268.951031 169.93523 \nL 273.090509 166.774717 \nL 277.365618 163.082239 \nL 281.73964 158.843836 \nL 286.16577 154.058809 \nL 290.586336 148.743844 \nL 294.93249 142.937102 \nL 299.124589 136.701849 \nL 303.073401 130.128993 \nL 306.682427 123.337757 \nL 309.851293 116.473849 \nL 312.480279 109.704611 \nL 314.475736 103.210972 \nL 315.755996 97.176636 \nL 316.257222 91.775479 \nL 315.938546 87.158684 \nL 314.785823 83.443328 \nL 312.813475 80.704179 \nL 310.064118 78.969867 \nL 306.606022 78.223761 \nL 302.528706 78.409273 \nL 297.937166 79.438451 \nL 292.945558 81.202196 \nL 287.670845 83.58073 \nL 282.227135 86.452918 \nL 276.721018 89.703746 \nL 271.248139 93.229456 \nL 265.891034 96.94043 \nL 260.718122 100.762282 \nL 255.783641 104.635469 \nL 251.128336 108.513976 \nL 246.780632 112.36349 \nL 242.758137 116.159355 \nL 239.069248 119.884633 \nL 235.714791 123.528312 \nL 232.689591 127.08377 \nL 229.983878 130.547553 \nL 227.584557 133.91836 \nL 225.476292 137.196334 \nL 223.64242 140.382461 \nL 222.065702 143.478205 \nL 220.728921 146.485231 \nL 219.615353 149.405184 \nL 218.709122 152.239615 \nL 217.995475 154.989844 \nL 217.460954 157.656942 \nL 217.093529 160.241694 \nL 216.882665 162.744551 \nL 216.819362 165.165617 \nL 216.896157 167.504605 \nL 217.107115 169.760807 \nL 217.447797 171.933056 \nL 217.915226 174.019658 \nL 218.507844 176.018327 \nL 219.225471 177.926095 \nL 220.069255 179.739222 \nL 221.041633 181.453059 \nL 222.146284 183.061915 \nL 223.388086 184.558897 \nL 224.773062 185.935724 \nL 226.308331 187.182497 \nL 228.002036 188.287457 \nL 229.863257 189.23672 \nL 231.901911 190.013967 \nL 234.128593 190.600123 \nL 236.554389 190.973032 \nL 239.190627 191.107105 \nL 242.048524 190.973023 \nL 245.138764 190.537474 \nL 248.470925 189.763021 \nL 252.052767 188.608128 \nL 255.88935 187.027461 \nL 259.981934 184.972559 \nL 264.326668 182.393035 \nL 268.91306 179.238431 \nL 273.722224 175.460957 \nL 278.725 171.019158 \nL 283.879969 165.882702 \nL 289.131588 160.038194 \nL 294.408652 153.495861 \nL 299.623334 146.296542 \nL 304.671263 138.518287 \nL 309.432948 130.28135 \nL 313.776889 121.750262 \nL 317.564691 113.13147 \nL 320.658054 104.66559 \nL 322.927408 96.613784 \nL 324.261363 89.239085 \nL 324.576053 82.784772 \nL 323.823015 77.452757 \nL 321.994514 73.385648 \nL 319.125339 70.655589 \nL 315.290765 69.261683 \nL 310.600955 69.136011 \nL 305.192612 70.156692 \nL 299.219093 72.165006 \nL 292.840243 74.983668 \nL 286.213136 78.433175 \nL 279.484432 82.344817 \nL 272.784888 86.569327 \nL 266.225954 90.981378 \nL 259.898334 95.48075 \nL 253.872097 99.990915 \nL 248.197943 104.45631 \nL 242.909211 108.838727 \nL 238.024275 113.113749 \nL 233.549071 117.267367 \nL 229.479548 121.293112 \nL 225.803946 125.189732 \nL 222.504806 128.959369 \nL 219.5607 132.606187 \nL 216.947678 136.135427 \nL 214.640437 139.552775 \nL 212.613254 142.863904 \nL 210.840701 146.074239 \nL 209.298179 149.188823 \nL 207.962302 152.212259 \nL 206.811153 155.148708 \nL 205.824442 158.001912 \nL 204.271724 163.471721 \nL 203.175966 168.64493 \nL 202.435008 173.540836 \nL 201.969972 178.175974 \nL 201.721988 182.564855 \nL 201.648927 186.720468 \nL 201.808608 192.541936 \nL 202.251722 197.899718 \nL 202.701196 201.228578 \nL 203.282882 204.371264 \nL 204.012669 207.332864 \nL 204.913897 210.116094 \nL 206.017971 212.720476 \nL 207.365402 215.141044 \nL 209.007284 217.366451 \nL 209.957964 218.399992 \nL 211.007197 219.376084 \nL 212.165263 220.290011 \nL 213.44353 221.135854 \nL 214.854548 221.906213 \nL 216.412134 222.591924 \nL 218.131455 223.181668 \nL 220.02911 223.661536 \nL 222.123183 224.014497 \nL 224.43328 224.219776 \nL 226.980514 224.252124 \nL 229.787438 224.080986 \nL 232.877864 223.669547 \nL 236.276604 222.973708 \nL 240.008979 221.94099 \nL 244.100156 220.509458 \nL 248.574152 218.606779 \nL 253.452454 216.149574 \nL 258.752159 213.043372 \nL 264.483526 209.183523 \nL 270.646838 204.457576 \nL 277.228507 198.749814 \nL 284.196424 191.948608 \nL 291.49469 183.95737 \nL 299.038033 174.70956 \nL 306.706472 164.187649 \nL 314.34122 152.445029 \nL 321.743002 139.628126 \nL 328.674323 125.994454 \nL 334.867207 111.920626 \nL 340.03737 97.893769 \nL 343.904807 84.481692 \nL 346.219281 72.281166 \nL 346.787265 61.850318 \nL 345.495917 53.637619 \nL 342.329037 47.923518 \nL 337.371577 44.789022 \nL 330.80145 44.118372 \nL 322.870257 45.633358 \nL 313.877022 48.948122 \nL 304.139884 53.630175 \nL 293.970304 59.254256 \nL 283.652844 65.4414 \nL 273.431945 71.880652 \nL 263.505368 78.335711 \nL 245.091048 90.68935 \nL 229.108013 101.816845 \nL 215.729362 111.595893 \nL 209.976168 116.01623 \nL 204.799312 120.156098 \nL 200.153828 124.041006 \nL 195.991045 127.695019 \nL 192.260787 131.139704 \nL 185.898952 137.472383 \nL 180.68793 143.151655 \nL 168.786327 156.784542 \nL 165.232195 160.209717 \nL 163.423588 161.695461 \nL 161.568654 163.020035 \nL 159.650594 164.174129 \nL 157.654242 165.146901 \nL 155.56601 165.925932 \nL 153.373874 166.497214 \nL 151.067448 166.84516 \nL 148.638085 166.952642 \nL 146.07907 166.801126 \nL 143.385876 166.370911 \nL 140.556494 165.641435 \nL 137.591835 164.591819 \nL 134.496223 163.20151 \nL 131.277921 161.451256 \nL 127.949726 159.324228 \nL 124.529585 156.807497 \nL 121.041156 153.893725 \nL 117.514359 150.583084 \nL 113.985707 146.885353 \nL 110.498482 142.822013 \nL 107.102573 138.428123 \nL 103.853878 133.753831 \nL 100.81329 128.86514 \nL 98.045069 123.843639 \nL 95.614722 118.785022 \nL 93.586321 113.79613 \nL 92.019507 108.990588 \nL 90.966234 104.483255 \nL 90.467644 100.383909 \nL 90.551297 96.790742 \nL 91.229052 93.784482 \nL 92.495858 91.423745 \nL 94.329598 89.742231 \nL 96.692073 88.748054 \nL 99.530947 88.425139 \nL 102.782498 88.73638 \nL 106.374914 89.628137 \nL 110.231784 91.035344 \nL 114.275506 92.886563 \nL 118.430358 95.108654 \nL 122.625052 97.630542 \nL 126.794668 100.386091 \nL 130.881982 103.31587 \nL 134.838175 106.368126 \nL 138.623032 109.498996 \nL 142.204724 112.672167 \nL 145.559262 115.858218 \nL 148.66976 119.033743 \nL 151.525542 122.180439 \nL 154.121218 125.284172 \nL 156.455764 128.334141 \nL 158.53162 131.322106 \nL 160.353883 134.241782 \nL 161.929575 137.088288 \nL 163.266991 139.857739 \nL 164.375166 142.546883 \nL 165.263402 145.15283 \nL 165.940898 147.672843 \nL 166.416454 150.104137 \nL 166.698225 152.443757 \nL 166.793548 154.688448 \nL 166.70882 156.834508 \nL 166.449404 158.877737 \nL 166.019589 160.813273 \nL 165.422569 162.635519 \nL 164.660451 164.338017 \nL 163.7343 165.913331 \nL 162.644187 167.352917 \nL 161.389277 168.646977 \nL 159.967936 169.784336 \nL 158.377867 170.752305 \nL 156.616274 171.536541 \nL 154.68007 172.120922 \nL 152.566113 172.487478 \nL 150.271515 172.616317 \nL 147.793988 172.48567 \nL 145.132282 172.07198 \nL 142.286668 171.350168 \nL 139.259534 170.294026 \nL 136.056037 168.876868 \nL 132.684872 167.072429 \nL 129.159071 164.856088 \nL 125.496911 162.206452 \nL 121.722759 159.10734 \nL 117.867947 155.550122 \nL 113.971504 151.536394 \nL 110.080633 147.080817 \nL 106.250907 142.213932 \nL 102.545961 136.984672 \nL 99.036596 131.462073 \nL 95.799174 125.735868 \nL 92.913243 119.915472 \nL 90.458403 114.126996 \nL 88.510556 108.508215 \nL 87.137712 103.201633 \nL 86.395753 98.346125 \nL 86.324529 94.068013 \nL 86.944726 90.472683 \nL 88.255897 87.637678 \nL 90.235907 85.608372 \nL 92.841938 84.396514 \nL 96.012845 83.981991 \nL 99.672744 84.317096 \nL 103.735289 85.332687 \nL 108.108302 86.945251 \nL 112.698264 89.063984 \nL 117.414299 91.59699 \nL 122.171477 94.456375 \nL 126.893231 97.561764 \nL 131.512936 100.842465 \nL 135.974686 104.238389 \nL 140.233385 107.699972 \nL 144.254318 111.187485 \nL 148.012349 114.669888 \nL 151.490849 118.123548 \nL 154.68055 121.530925 \nL 157.578309 124.879314 \nL 160.185943 128.159718 \nL 162.509133 131.365977 \nL 164.556424 134.493929 \nL 166.338357 137.540845 \nL 167.866724 140.504947 \nL 169.153937 143.385019 \nL 170.212514 146.180152 \nL 171.054669 148.889543 \nL 171.69198 151.512301 \nL 172.135151 154.047384 \nL 172.393819 156.493442 \nL 172.476432 158.848754 \nL 172.390164 161.111166 \nL 172.140866 163.277971 \nL 171.73304 165.345867 \nL 171.169854 167.310835 \nL 170.453156 169.168035 \nL 169.583512 170.911705 \nL 168.560262 172.535033 \nL 167.381587 174.029973 \nL 166.044582 175.387137 \nL 164.545364 176.59557 \nL 162.879186 177.642574 \nL 161.040581 178.513538 \nL 159.023548 179.191689 \nL 156.821769 179.657939 \nL 154.428888 179.89069 \nL 151.838837 179.865726 \nL 149.046267 179.55616 \nL 146.047045 178.932491 \nL 142.838871 177.962857 \nL 139.422012 176.613472 \nL 135.800161 174.849373 \nL 131.981425 172.635578 \nL 127.979424 169.938655 \nL 123.814509 166.728904 \nL 119.514997 162.983053 \nL 115.11837 158.687613 \nL 110.672352 153.842716 \nL 106.235664 148.466284 \nL 101.878317 142.59818 \nL 97.681175 136.303812 \nL 93.734657 129.676636 \nL 90.136376 122.838678 \nL 86.98757 115.938525 \nL 84.388493 109.146151 \nL 82.432902 102.644608 \nL 81.202025 96.618893 \nL 80.758708 91.243131 \nL 81.142279 86.667575 \nL 82.364891 83.007238 \nL 84.409813 80.333901 \nL 87.231972 78.672596 \nL 90.760705 78.002903 \nL 94.904324 78.264656 \nL 99.556033 79.366765 \nL 104.600351 81.197718 \nL 109.919485 83.63615 \nL 115.398978 86.560122 \nL 120.93232 89.85443 \nL 126.424307 93.415619 \nL 131.793084 97.154801 \nL 136.971109 100.99845 \nL 141.905098 104.887998 \nL 146.55529 108.77838 \nL 150.894209 112.636152 \nL 154.905146 116.437432 \nL 158.580507 120.165944 \nL 161.920172 123.811211 \nL 164.929935 127.367052 \nL 167.620075 130.830347 \nL 170.004106 134.200073 \nL 172.097697 137.476564 \nL 173.917771 140.660979 \nL 175.481769 143.754895 \nL 176.80705 146.760064 \nL 177.910438 149.678228 \nL 178.807874 152.510975 \nL 179.514147 155.259701 \nL 180.042732 157.925527 \nL 180.405659 160.509275 \nL 180.613449 163.011452 \nL 180.675088 165.432202 \nL 180.598014 167.771315 \nL 180.388142 170.028139 \nL 180.049884 172.201574 \nL 179.586199 174.290004 \nL 178.998624 176.291227 \nL 178.287325 178.202383 \nL 177.451139 180.019835 \nL 176.487617 181.739068 \nL 175.393071 183.354536 \nL 174.162611 184.859508 \nL 172.790197 186.245875 \nL 171.268691 187.503943 \nL 169.589919 188.622184 \nL 167.744753 189.586957 \nL 165.723213 190.382212 \nL 163.51461 190.989169 \nL 161.10773 191.385971 \nL 158.491075 191.547343 \nL 155.653193 191.444267 \nL 152.583098 191.043714 \nL 149.270825 190.308478 \nL 145.708111 189.197164 \nL 141.889277 187.664444 \nL 137.812306 185.661661 \nL 133.480131 183.13796 \nL 128.90215 180.042063 \nL 124.095979 176.324889 \nL 119.089372 171.943141 \nL 113.922186 166.864 \nL 108.648352 161.070931 \nL 103.337474 154.570317 \nL 98.075931 147.398651 \nL 92.96697 139.629332 \nL 88.12949 131.378101 \nL 83.695112 122.805591 \nL 79.803273 114.115667 \nL 76.594346 105.548266 \nL 74.201091 97.366282 \nL 72.739038 89.837111 \nL 72.296949 83.210777 \nL 72.928526 77.697785 \nL 74.646645 73.450196 \nL 77.42108 70.549303 \nL 81.180119 69.002015 \nL 85.815869 68.746041 \nL 91.192529 69.662618 \nL 97.156303 71.593676 \nL 103.545776 74.36042 \nL 110.201476 77.780437 \nL 116.97378 81.68119 \nL 123.728782 85.909336 \nL 130.351896 90.335644 \nL 136.749516 94.85643 \nL 142.848998 99.392354 \nL 148.597483 103.885621 \nL 153.959891 108.296428 \nL 158.916522 112.599246 \nL 163.46048 116.779378 \nL 167.59518 120.829963 \nL 171.332017 124.749595 \nL 174.688304 128.540388 \nL 177.685496 132.206591 \nL 180.347706 135.7536 \nL 182.700501 139.187252 \nL 184.769933 142.513404 \nL 186.581809 145.737642 \nL 188.161133 148.865153 \nL 189.531714 151.900683 \nL 190.715897 154.848518 \nL 191.734399 157.712506 \nL 193.348643 163.202419 \nL 194.505892 168.394237 \nL 195.311447 173.30774 \nL 195.847248 177.959852 \nL 196.175269 182.365469 \nL 196.373227 188.540743 \nL 196.301451 194.231932 \nL 196.008152 199.474884 \nL 195.503379 204.300908 \nL 194.765946 208.736205 \nL 194.121448 211.485998 \nL 193.329363 214.074588 \nL 192.360389 216.503002 \nL 191.177261 218.768749 \nL 189.733262 220.864269 \nL 187.970328 222.77468 \nL 186.947451 223.653008 \nL 185.81673 224.474362 \nL 184.566616 225.233027 \nL 183.184344 225.921847 \nL 181.655838 226.531927 \nL 179.965613 227.05224 \nL 178.096681 227.469195 \nL 176.030474 227.766084 \nL 173.746803 227.922439 \nL 171.223837 227.913284 \nL 168.43815 227.708255 \nL 165.364858 227.270596 \nL 161.977872 226.556053 \nL 158.250325 225.511676 \nL 154.155207 224.074599 \nL 149.666342 222.170921 \nL 144.759725 219.714844 \nL 139.415378 216.60836 \nL 133.619821 212.741857 \nL 127.369289 207.996213 \nL 120.673772 202.247072 \nL 113.561887 195.37208 \nL 106.08653 187.261992 \nL 98.330989 177.836248 \nL 90.414942 167.063138 \nL 82.499343 154.983643 \nL 74.788963 141.736296 \nL 67.530766 127.578504 \nL 61.006533 112.897647 \nL 55.518393 98.204627 \nL 51.367055 84.103816 \nL 48.824333 71.238018 \nL 48.103442 60.214503 \nL 49.332204 51.525565 \nL 52.534647 45.4821 \nL 57.625298 42.176904 \nL 64.41762 41.486409 \nL 72.644819 43.108331 \nL 81.988633 46.622903 \nL 92.110375 51.560796 \nL 102.679144 57.462935 \nL 113.393735 63.923218 \nL 123.996758 70.611594 \nL 144.09191 83.758396 \nL 161.900288 95.766233 \nL 177.014362 106.300611 \nL 189.468633 115.431639 \nL 194.781199 119.53551 \nL 199.54593 123.369744 \nL 203.814332 126.960835 \nL 211.072664 133.503952 \nL 216.966466 139.311173 \nL 224.055423 146.836229 \nL 229.964083 153.050346 \nL 233.657867 156.460891 \nL 235.505098 157.93456 \nL 237.379899 159.245078 \nL 239.300147 160.384092 \nL 241.281764 161.341832 \nL 243.338769 162.107123 \nL 245.483327 162.66742 \nL 247.725712 163.00885 \nL 250.074217 163.116341 \nL 252.535019 162.973753 \nL 255.111978 162.564177 \nL 257.806348 161.870266 \nL 260.616464 160.87476 \nL 263.53734 159.561161 \nL 266.56024 157.914562 \nL 269.672223 155.922725 \nL 272.855673 153.577307 \nL 276.087888 150.875342 \nL 279.340715 147.82079 \nL 282.580365 144.426224 \nL 285.767395 140.714428 \nL 288.856983 136.71977 \nL 291.799537 132.489213 \nL 294.541704 128.082693 \nL 297.027779 123.572633 \nL 299.20158 119.042508 \nL 301.008648 114.58428 \nL 302.398761 110.294781 \nL 303.328516 106.271255 \nL 303.763821 102.606344 \nL 303.682112 99.383034 \nL 303.073978 96.670027 \nL 301.944121 94.518149 \nL 300.311444 92.958077 \nL 298.208321 91.999667 \nL 295.679061 91.632891 \nL 292.77774 91.830115 \nL 289.565584 92.549487 \nL 286.108163 93.738783 \nL 282.472619 95.339425 \nL 278.725098 97.290213 \nL 274.928576 99.530541 \nL 271.141149 102.002836 \nL 267.414793 104.65429 \nL 263.794631 107.437874 \nL 260.318619 110.31277 \nL 257.017605 113.24432 \nL 253.915643 116.203628 \nL 251.030562 119.167012 \nL 248.374619 122.115287 \nL 245.955257 125.033068 \nL 243.775855 127.908079 \nL 241.836496 130.730501 \nL 240.134658 133.492432 \nL 238.66587 136.187422 \nL 237.424276 138.810047 \nL 236.403149 141.355588 \nL 235.595307 143.819759 \nL 234.993473 146.198475 \nL 234.590566 148.48766 \nL 234.379926 150.683083 \nL 234.355486 152.78024 \nL 234.511908 154.7742 \nL 234.844661 156.659502 \nL 235.350071 158.430041 \nL 236.025333 160.078945 \nL 236.868498 161.598476 \nL 237.87842 162.979896 \nL 239.054692 164.213388 \nL 240.397524 165.287901 \nL 241.907634 166.191102 \nL 243.586059 166.909239 \nL 245.433956 167.42712 \nL 247.452364 167.728066 \nL 249.641897 167.793935 \nL 252.002403 167.605226 \nL 254.532566 167.141283 \nL 257.229421 166.380623 \nL 260.087846 165.301412 \nL 263.099956 163.882149 \nL 266.254461 162.102597 \nL 269.535982 159.944959 \nL 272.924375 157.395303 \nL 276.394021 154.445334 \nL 279.913278 151.094353 \nL 283.444029 147.351363 \nL 286.941437 143.237254 \nL 290.354103 138.786776 \nL 293.624566 134.050098 \nL 296.690313 129.093643 \nL 299.485409 123.9999 \nL 301.942624 118.865913 \nL 303.996135 113.800311 \nL 305.584619 108.918892 \nL 306.654535 104.338896 \nL 307.163366 100.172505 \nL 307.082471 96.520185 \nL 306.399274 93.464514 \nL 305.118509 91.065465 \nL 303.262384 89.357427 \nL 300.869617 88.348554 \nL 297.993398 88.022118 \nL 294.698581 88.339923 \nL 291.058286 89.246836 \nL 287.150309 90.676088 \nL 283.053633 92.554501 \nL 278.845274 94.807287 \nL 274.597674 97.361937 \nL 270.376723 100.151052 \nL 266.240401 103.114274 \nL 262.23809 106.199138 \nL 258.41037 109.361316 \nL 254.789272 112.564207 \nL 251.398825 115.778264 \nL 248.25585 118.980093 \nL 245.370855 122.151466 \nL 242.74899 125.278383 \nL 240.391001 128.350216 \nL 238.294134 131.358925 \nL 236.452963 134.298417 \nL 234.860148 137.164012 \nL 233.507062 139.952017 \nL 232.384373 142.65937 \nL 231.482488 145.283353 \nL 230.791942 147.821412 \nL 230.303697 150.270934 \nL 230.009381 152.629135 \nL 229.901466 154.892925 \nL 229.973393 157.058792 \nL 230.21966 159.122698 \nL 230.635866 161.079973 \nL 231.218731 162.925212 \nL 231.966089 164.652157 \nL 232.876848 166.253574 \nL 233.950941 167.721138 \nL 235.18924 169.045281 \nL 236.59345 170.215048 \nL 238.165987 171.21798 \nL 239.909814 172.039945 \nL 241.828248 172.66502 \nL 243.924717 173.075381 \nL 246.202469 173.251257 \nL 248.664239 173.170912 \nL 251.311821 172.810718 \nL 254.145587 172.145379 \nL 257.163907 171.148303 \nL 260.362496 169.792172 \nL 263.733656 168.049813 \nL 267.265448 165.895352 \nL 270.940818 163.305748 \nL 274.736648 160.262764 \nL 278.622899 156.755263 \nL 282.561803 152.781904 \nL 286.507271 148.354085 \nL 290.404617 143.498864 \nL 294.190743 138.261681 \nL 297.794889 132.708377 \nL 301.140138 126.926121 \nL 304.145651 121.022738 \nL 306.729753 115.124129 \nL 308.813686 109.369506 \nL 310.325854 103.904567 \nL 311.206209 98.873095 \nL 311.410436 94.407749 \nL 310.913327 90.621146 \nL 309.711115 87.598352 \nL 307.822314 85.391819 \nL 305.286994 84.019384 \nL 302.164567 83.465488 \nL 298.530284 83.685236 \nL 294.470919 84.61054 \nL 290.079995 86.15733 \nL 285.453135 88.233025 \nL 280.683821 90.743086 \nL 275.859868 93.596481 \nL 271.060815 96.709602 \nL 266.356151 100.008655 \nL 261.804444 103.430758 \nL 257.453133 106.923964 \nL 253.33892 110.446622 \nL 249.488562 113.966189 \nL 245.91993 117.45795 \nL 242.643216 120.903573 \nL 239.662175 124.289861 \nL 236.975342 127.607545 \nL 234.577181 130.850317 \nL 232.459106 134.014025 \nL 230.610395 137.096029 \nL 229.018969 140.094672 \nL 227.672049 143.008923 \nL 226.556693 145.838091 \nL 225.660232 148.581583 \nL 224.970605 151.238778 \nL 224.476623 153.808882 \nL 224.168164 156.290822 \nL 224.036301 158.683182 \nL 224.073403 160.984126 \nL 224.273177 163.19131 \nL 224.630696 165.301804 \nL 225.1424 167.312012 \nL 225.806079 169.21757 \nL 226.620831 171.013226 \nL 227.587023 172.69273 \nL 228.706225 174.248697 \nL 229.981139 175.672419 \nL 231.415509 176.953715 \nL 233.01402 178.08074 \nL 234.782157 179.039772 \nL 236.726059 179.815004 \nL 238.852307 180.388334 \nL 241.167697 180.739188 \nL 243.678923 180.844326 \nL 246.392205 180.677759 \nL 249.312825 180.210725 \nL 252.444574 179.411811 \nL 255.78905 178.247287 \nL 259.344871 176.681666 \nL 263.106712 174.678644 \nL 267.064247 172.202464 \nL 271.200927 169.219819 \nL 275.492736 165.702309 \nL 279.906876 161.629573 \nL 284.400553 156.993038 \nL 288.919992 151.80008 \nL 293.399824 146.078468 \nL 297.763068 139.880512 \nL 301.921971 133.286443 \nL 305.779817 126.406173 \nL 309.233967 119.378732 \nL 312.180068 112.368695 \nL 314.517359 105.559203 \nL 316.154722 99.141757 \nL 317.016954 93.303516 \nL 317.050613 88.213562 \nL 316.228695 84.009912 \nL 314.553484 80.789166 \nL 312.057167 78.600431 \nL 308.800086 77.444222 \nL 304.866827 77.276392 \nL 300.360623 78.016011 \nL 295.396859 79.555836 \nL 290.096296 81.773468 \nL 284.578783 84.541896 \nL 278.957958 87.738108 \nL 273.337124 91.249485 \nL 267.806548 94.977586 \nL 262.441996 98.839912 \nL 257.304362 102.769907 \nL 252.440157 106.715804 \nL 247.882614 110.638804 \nL 243.653162 114.510919 \nL 239.763113 118.312859 \nL 236.21537 122.032052 \nL 233.006101 125.660957 \nL 230.12627 129.195642 \nL 227.563015 132.634691 \nL 225.300823 135.978314 \nL 223.322542 139.227746 \nL 221.610204 142.384785 \nL 220.145692 145.451479 \nL 218.911263 148.429895 \nL 217.889945 151.322004 \nL 217.065842 154.129577 \nL 216.424335 156.854133 \nL 215.952231 159.496928 \nL 215.63784 162.058888 \nL 215.471027 164.540637 \nL 215.443214 166.942442 \nL 215.547375 169.264207 \nL 215.778005 171.505444 \nL 216.131081 173.665225 \nL 216.604021 175.742106 \nL 217.195637 177.734105 \nL 217.906089 179.638601 \nL 218.736848 181.452216 \nL 219.690645 183.170731 \nL 220.771443 184.788936 \nL 221.984394 186.300472 \nL 223.335796 187.697641 \nL 224.83306 188.971197 \nL 226.48465 190.110101 \nL 228.300012 191.101239 \nL 230.289501 191.929122 \nL 232.464243 192.575545 \nL 234.835985 193.019237 \nL 237.416874 193.235473 \nL 240.219148 193.195735 \nL 243.254762 192.867372 \nL 246.534868 192.213361 \nL 250.069161 191.192211 \nL 253.86504 189.758079 \nL 257.926572 187.861247 \nL 262.25322 185.449051 \nL 266.838334 182.467468 \nL 271.667379 178.863503 \nL 276.715991 174.588605 \nL 281.947853 169.603235 \nL 287.312588 163.882589 \nL 292.743861 157.423473 \nL 298.157962 150.251835 \nL 303.453287 142.430359 \nL 308.511051 134.064939 \nL 313.19777 125.308677 \nL 317.369745 116.361755 \nL 320.879721 107.465718 \nL 323.585527 98.891352 \nL 325.360041 90.920427 \nL 326.101528 83.822964 \nL 325.742994 77.83314 \nL 324.259191 73.127664 \nL 321.67007 69.810431 \nL 318.040155 67.906203 \nL 313.473766 67.364152 \nL 308.106851 68.06988 \nL 302.096711 69.863191 \nL 295.610945 72.558095 \nL 288.817004 75.961655 \nL 281.873384 79.889372 \nL 274.92298 84.176019 \nL 268.088847 88.681611 \nL 261.472111 93.293469 \nL 255.151738 97.925211 \nL 249.185642 102.513933 \nL 243.612711 107.016338 \nL 238.45533 111.404793 \nL 233.722083 115.66352 \nL 229.410423 119.785332 \nL 225.509164 123.768976 \nL 222.000689 127.617027 \nL 218.862846 131.334363 \nL 216.070552 134.927062 \nL 213.597086 138.401648 \nL 211.415113 141.764618 \nL 209.49748 145.022145 \nL 207.81781 148.17993 \nL 206.350918 151.243161 \nL 205.073103 154.216496 \nL 202.998266 159.909661 \nL 201.437934 165.28771 \nL 200.264192 170.373606 \nL 199.374184 175.186478 \nL 198.39816 181.929345 \nL 197.267011 192.011281 \nL 196.261277 200.804955 \nL 195.550109 205.525827 \nL 194.663907 209.861756 \nL 193.934006 212.547623 \nL 193.058291 215.073223 \nL 192.00106 217.438477 \nL 190.719294 219.639273 \nL 189.160679 221.665733 \nL 187.261302 223.499573 \nL 186.160044 224.335317 \nL 184.943017 225.110162 \nL 183.597738 225.817384 \nL 182.110449 226.448603 \nL 180.466013 226.993425 \nL 178.647824 227.439021 \nL 176.637721 227.769603 \nL 174.41593 227.96581 \nL 171.961035 228.003993 \nL 169.250011 227.855364 \nL 166.258326 227.485031 \nL 162.960154 226.850914 \nL 159.328746 225.90256 \nL 155.337018 224.579931 \nL 150.958404 222.812232 \nL 146.168091 220.51695 \nL 140.944722 217.59935 \nL 135.272687 213.952787 \nL 129.145121 209.460313 \nL 122.567722 203.998278 \nL 115.563388 197.442655 \nL 108.177695 189.679025 \nL 100.484934 180.616866 \nL 92.594217 170.208542 \nL 84.654817 158.472333 \nL 76.859523 145.517444 \nL 69.444344 131.566933 \nL 62.682875 116.97243 \nL 56.873855 102.213236 \nL 52.321302 87.873176 \nL 49.308305 74.592128 \nL 48.067472 62.996059 \nL 48.752653 53.617219 \nL 51.417699 46.822098 \nL 56.006986 42.765189 \nL 62.359944 41.379817 \nL 70.22891 42.406947 \nL 79.306286 45.451615 \nL 89.255582 50.050862 \nL 99.740885 55.737043 \nL 110.450759 62.085835 \nL 121.114568 68.744663 \nL 141.470797 81.99004 \nL 159.640496 94.191847 \nL 175.138336 104.931602 \nL 187.951098 114.243663 \nL 193.425208 118.425728 \nL 198.33752 122.330175 \nL 202.738891 125.984245 \nL 206.681953 129.412309 \nL 213.402281 135.670958 \nL 218.898726 141.233007 \nL 231.375637 154.319232 \nL 233.218019 155.987991 \nL 235.062142 157.50202 \nL 236.928549 158.854773 \nL 238.835656 160.03828 \nL 240.799894 161.043164 \nL 242.835778 161.858631 \nL 244.955954 162.472502 \nL 247.171183 162.871285 \nL 249.490278 163.040224 \nL 251.919967 162.963486 \nL 254.464714 162.624372 \nL 257.126465 162.005669 \nL 259.904321 161.090106 \nL 262.794181 159.860987 \nL 265.788306 158.302982 \nL 268.874878 156.403136 \nL 272.03752 154.152062 \nL 275.254899 151.545341 \nL 278.500316 148.585066 \nL 281.741487 145.281506 \nL 284.940473 141.654687 \nL 288.053888 137.735897 \nL 291.033387 133.56875 \nL 293.826596 129.209756 \nL 296.378405 124.728075 \nL 298.632727 120.204342 \nL 300.534607 115.728384 \nL 302.032654 111.395885 \nL 303.081632 107.304127 \nL 303.644963 103.547129 \nL 303.697047 100.210529 \nL 303.225031 97.366856 \nL 302.229959 95.071643 \nL 300.727088 93.360773 \nL 298.745362 92.249422 \nL 296.326077 91.732555 \nL 293.520878 91.786942 \nL 290.389227 92.374213 \nL 286.995652 93.444631 \nL 283.406961 94.94113 \nL 279.689594 96.803066 \nL 275.907372 98.969602 \nL 272.119644 101.382353 \nL 268.379932 103.987314 \nL 264.735094 106.736003 \nL 261.224874 109.586078 \nL 257.881886 112.501352 \nL 254.73188 115.451541 \nL 251.794231 118.411682 \nL 249.082576 121.361498 \nL 246.605555 124.284675 \nL 244.367554 127.168173 \nL 242.369474 130.00157 \nL 240.609446 132.776514 \nL 239.083487 135.486182 \nL 237.786088 138.124901 \nL 236.710746 140.687761 \nL 235.850401 143.170371 \nL 235.197801 145.568587 \nL 234.745825 147.878315 \nL 234.487713 150.095373 \nL 234.417254 152.215302 \nL 234.528937 154.233279 \nL 234.818029 156.143966 \nL 235.280649 157.941411 \nL 235.913771 159.618925 \nL 236.715236 161.168979 \nL 237.68369 162.583094 \nL 238.818538 163.851712 \nL 240.119833 164.964097 \nL 241.588153 165.90824 \nL 243.22445 166.670747 \nL 245.029838 167.236795 \nL 247.00537 167.59008 \nL 249.15175 167.712833 \nL 251.469007 167.585917 \nL 253.956095 167.188991 \nL 256.610444 166.500783 \nL 259.427458 165.499574 \nL 262.399917 164.163804 \nL 265.51737 162.472942 \nL 268.765447 160.408596 \nL 272.125175 157.955897 \nL 275.572289 155.105162 \nL 279.076636 151.853807 \nL 282.601701 148.208444 \nL 286.104316 144.187014 \nL 289.534698 139.820853 \nL 292.836876 135.15633 \nL 295.949582 130.255889 \nL 298.807703 125.198123 \nL 301.344308 120.076575 \nL 303.49321 114.997156 \nL 305.191962 110.074038 \nL 306.385104 105.42426 \nL 307.027426 101.161381 \nL 307.086936 97.388786 \nL 306.547187 94.193474 \nL 305.408789 91.640871 \nL 303.689815 89.771433 \nL 301.425106 88.599476 \nL 298.664483 88.114032 \nL 295.4701 88.281823 \nL 291.913198 89.051545 \nL 288.070538 90.358991 \nL 284.020862 92.132362 \nL 279.841672 94.297176 \nL 275.606486 96.780331 \nL 271.382704 99.51326 \nL 267.230137 102.433979 \nL 263.200142 105.488234 \nL 259.335309 108.629859 \nL 255.669619 111.820531 \nL 252.22893 115.029125 \nL 249.031713 118.230867 \nL 246.089911 121.406383 \nL 243.409903 124.540716 \nL 240.993453 127.622481 \nL 238.838613 130.643046 \nL 236.94058 133.595876 \nL 235.292464 136.475967 \nL 233.885952 139.279377 \nL 232.711885 142.002891 \nL 231.760749 144.643705 \nL 231.023067 147.199207 \nL 230.48972 149.666775 \nL 230.152198 152.043654 \nL 230.002794 154.326801 \nL 230.034742 156.51279 \nL 230.242304 158.597679 \nL 230.620836 160.576924 \nL 231.166812 162.44528 \nL 231.877811 164.196662 \nL 232.752499 165.824038 \nL 233.79057 167.319313 \nL 234.992672 168.673195 \nL 236.360318 169.875025 \nL 237.895746 170.912671 \nL 239.601782 171.772374 \nL 241.481635 172.438612 \nL 243.538685 172.893992 \nL 245.776189 173.119185 \nL 248.196962 173.0929 \nL 250.802973 172.791955 \nL 253.594869 172.191441 \nL 256.57142 171.265095 \nL 259.728885 169.985808 \nL 263.060277 168.326426 \nL 266.554554 166.260836 \nL 270.195736 163.765452 \nL 273.962006 160.821043 \nL 277.824806 157.414986 \nL 281.748043 153.543866 \nL 285.687427 149.216352 \nL 289.590141 144.456154 \nL 293.394911 139.304772 \nL 297.03266 133.823671 \nL 300.42782 128.095457 \nL 303.500425 122.223563 \nL 306.169009 116.330074 \nL 308.354222 110.551425 \nL 309.982987 105.032003 \nL 310.992856 99.916052 \nL 311.336219 95.33864 \nL 310.983908 91.416626 \nL 309.927723 88.240813 \nL 308.181581 85.870355 \nL 305.781135 84.330166 \nL 302.781852 83.611426 \nL 299.255771 83.675075 \nL 295.287315 84.457637 \nL 290.968655 85.878182 \nL 286.394961 87.845772 \nL 281.66012 90.266235 \nL 276.853054 93.047867 \nL 272.054928 96.105605 \nL 267.337192 99.363744 \nL 262.76055 102.757305 \nL 258.374624 106.232245 \nL 254.21823 109.744932 \nL 250.320083 113.261074 \nL 246.699814 116.754433 \nL 243.369142 120.205452 \nL 240.333117 123.599912 \nL 237.591329 126.927776 \nL 235.139072 130.182155 \nL 232.968399 133.358445 \nL 231.069046 136.453673 \nL 229.429241 139.46598 \nL 228.036383 142.394181 \nL 226.877598 145.237491 \nL 225.940199 147.99527 \nL 225.212042 150.666865 \nL 224.681802 153.251493 \nL 224.339174 155.748102 \nL 224.175029 158.155312 \nL 224.181504 160.471346 \nL 224.352067 162.693915 \nL 224.681545 164.820169 \nL 225.16613 166.846605 \nL 225.80336 168.768965 \nL 226.592091 170.58214 \nL 227.532449 172.280026 \nL 228.625773 173.855407 \nL 229.874545 175.299777 \nL 231.282304 176.603196 \nL 232.853539 177.754074 \nL 234.59356 178.738989 \nL 236.508354 179.542477 \nL 238.604383 180.146827 \nL 240.88835 180.53187 \nL 243.366909 180.674831 \nL 246.046291 180.550203 \nL 248.931865 180.129719 \nL 252.027587 179.382464 \nL 255.335333 178.27516 \nL 258.854126 176.772709 \nL 262.579201 174.839058 \nL 266.500953 172.438517 \nL 270.603775 169.537519 \nL 274.864779 166.107062 \nL 279.252532 162.125676 \nL 283.725824 157.583064 \nL 288.23263 152.484222 \nL 292.709469 146.853797 \nL 297.081278 140.740291 \nL 301.262119 134.219535 \nL 305.156846 127.396733 \nL 308.663934 120.406226 \nL 311.67951 113.408427 \nL 314.102479 106.583367 \nL 315.840463 100.120969 \nL 316.816013 94.208783 \nL 316.972533 89.0184 \nL 316.279111 84.692292 \nL 314.733682 81.333111 \nL 312.363943 78.996926 \nL 309.225971 77.691432 \nL 305.40063 77.379081 \nL 300.988247 77.984455 \nL 296.10223 79.404292 \nL 290.862332 81.518585 \nL 285.388338 84.201203 \nL 279.794567 87.32881 \nL 274.185633 90.787484 \nL 268.653544 94.476966 \nL 263.276027 98.312635 \nL 258.116027 102.225789 \nL 253.222075 106.162644 \nL 248.629286 110.082602 \nL 244.360799 113.956152 \nL 240.429403 117.762762 \nL 236.839264 121.488882 \nL 233.587583 125.126217 \nL 230.666146 128.670279 \nL 228.062721 132.119231 \nL 225.762266 135.473006 \nL 223.747949 138.732648 \nL 222.002009 141.89982 \nL 220.506435 144.976475 \nL 219.243511 147.964641 \nL 218.196234 150.866252 \nL 217.348632 153.683067 \nL 216.685974 156.416599 \nL 216.194931 159.068081 \nL 215.863665 161.638453 \nL 215.681884 164.128334 \nL 215.640852 166.537985 \nL 215.733382 168.867319 \nL 215.953815 171.115828 \nL 216.297976 173.282575 \nL 216.76314 175.366125 \nL 217.347981 177.364477 \nL 218.052535 179.275002 \nL 218.878144 181.09431 \nL 219.827427 182.818183 \nL 220.904235 184.441402 \nL 222.113609 185.957602 \nL 223.461747 187.359082 \nL 224.955955 188.636599 \nL 226.604589 189.77912 \nL 228.416999 190.773545 \nL 230.403423 191.604409 \nL 232.574879 192.253544 \nL 234.942992 192.699728 \nL 237.519776 192.918319 \nL 240.317341 192.880897 \nL 243.347493 192.554949 \nL 246.621229 191.903627 \nL 250.148076 190.885668 \nL 253.935263 189.455521 \nL 257.986684 187.563813 \nL 262.301635 185.158301 \nL 266.873312 182.185448 \nL 271.687056 178.592831 \nL 276.718424 174.332507 \nL 281.931088 169.365546 \nL 287.274763 163.667759 \nL 292.683317 157.236439 \nL 298.073415 150.097841 \nL 303.343979 142.314649 \nL 308.376974 133.992372 \nL 313.039835 125.283225 \nL 317.189953 116.385954 \nL 320.681261 107.540141 \nL 323.372784 99.01421 \nL 325.138505 91.087396 \nL 325.877576 84.027307 \nL 325.523573 78.066073 \nL 324.051376 73.379084 \nL 321.480664 70.069773 \nL 317.875241 68.163382 \nL 313.338363 67.610309 \nL 308.004701 68.297952 \nL 302.030173 70.068223 \nL 295.581011 72.737197 \nL 288.823438 76.113793 \nL 281.914925 80.015043 \nL 274.997596 84.276813 \nL 268.193958 88.759842 \nL 261.60483 93.351798 \nL 255.309059 97.966431 \nL 249.364608 102.540695 \nL 243.810528 107.031111 \nL 238.669441 111.409769 \nL 233.950225 115.660582 \nL 229.65066 119.776089 \nL 225.759889 123.754748 \nL 222.260613 127.598914 \nL 219.130996 131.313255 \nL 216.346242 134.903686 \nL 213.879899 138.376588 \nL 211.704878 141.738343 \nL 209.794253 144.995037 \nL 208.121849 148.152306 \nL 206.662671 151.215278 \nL 205.393189 154.188566 \nL 203.337512 159.882152 \nL 201.800655 165.261186 \nL 200.655853 170.348508 \nL 199.801439 175.163227 \nL 198.894205 181.909692 \nL 198.093452 190.090457 \nL 196.725018 205.54737 \nL 196.153092 209.908938 \nL 195.424312 213.919335 \nL 194.468411 217.597308 \nL 193.661714 219.870274 \nL 192.681303 222.000625 \nL 191.486289 223.984988 \nL 190.02647 225.814841 \nL 188.240084 227.474106 \nL 186.051161 228.935509 \nL 184.777379 229.57913 \nL 183.36647 230.1551 \nL 181.80353 230.653983 \nL 180.072146 231.064071 \nL 178.154296 231.370894 \nL 176.03027 231.556626 \nL 173.678606 231.599382 \nL 171.076074 231.472381 \nL 168.197736 231.142977 \nL 165.017082 230.571554 \nL 161.506321 229.710284 \nL 157.636839 228.501811 \nL 153.379934 226.877899 \nL 148.707889 224.758195 \nL 143.595479 222.049316 \nL 138.02206 218.644575 \nL 131.974373 214.424811 \nL 125.450147 209.260946 \nL 118.462651 203.019128 \nL 111.046211 195.569361 \nL 103.262476 186.798599 \nL 95.207155 176.628944 \nL 87.016454 165.04095 \nL 78.872046 152.100548 \nL 71.00295 137.986226 \nL 63.682454 123.010565 \nL 57.218113 107.62819 \nL 51.933704 92.421902 \nL 48.143365 78.061079 \nL 46.120243 65.233153 \nL 46.064393 54.557602 \nL 48.075801 46.500485 \nL 52.138623 41.310637 \nL 58.120545 38.994106 \nL 65.787447 39.332464 \nL 74.83026 41.937081 \nL 84.898162 46.322474 \nL 95.631804 51.979624 \nL 106.691508 58.434836 \nL 117.777413 65.28708 \nL 139.089304 79.022972 \nL 158.229184 91.685058 \nL 174.612301 102.763898 \nL 188.182233 112.281125 \nL 199.189886 120.459053 \nL 208.030195 127.546221 \nL 215.13914 133.747315 \nL 220.936396 139.206552 \nL 232.025884 150.082561 \nL 235.842271 153.37128 \nL 237.72792 154.778324 \nL 239.627043 156.019242 \nL 241.558012 157.086397 \nL 243.536948 157.970843 \nL 245.577807 158.662409 \nL 247.692414 159.149767 \nL 249.890455 159.420543 \nL 252.179421 159.461486 \nL 254.564473 159.258674 \nL 257.048295 158.797831 \nL 259.630863 158.064738 \nL 262.309163 157.045741 \nL 265.076896 155.728448 \nL 267.924128 154.102517 \nL 270.836976 152.160637 \nL 273.797246 149.899651 \nL 276.782196 147.321759 \nL 279.764348 144.435831 \nL 282.711473 141.258679 \nL 285.586733 137.816195 \nL 288.349113 134.14427 \nL 290.954119 130.289273 \nL 293.354784 126.307963 \nL 295.503044 122.266717 \nL 297.35136 118.239929 \nL 298.85467 114.307619 \nL 299.972407 110.552276 \nL 300.670579 107.055157 \nL 300.923702 103.892319 \nL 300.716375 101.130762 \nL 300.044461 98.825005 \nL 298.915604 97.014547 \nL 297.349156 95.722371 \nL 295.375393 94.954679 \nL 293.034189 94.701748 \nL 290.373194 94.939867 \nL 287.445697 95.633959 \nL 284.308392 96.740603 \nL 281.019148 98.211115 \nL 277.634952 99.994436 \nL 274.210174 102.039646 \nL 270.795182 104.297924 \nL 267.435324 106.723966 \nL 264.170291 109.276865 \nL 261.033853 111.920521 \nL 258.053841 114.623711 \nL 255.252388 117.359865 \nL 252.646344 120.106658 \nL 250.24779 122.84552 \nL 248.064646 125.561111 \nL 246.101283 128.240753 \nL 244.359139 130.873951 \nL 242.837312 133.45191 \nL 241.533092 135.967167 \nL 240.442466 138.413197 \nL 239.560545 140.784143 \nL 238.881928 143.074562 \nL 238.401022 145.27921 \nL 238.112292 147.392842 \nL 238.010472 149.410083 \nL 238.0907 151.325258 \nL 238.34865 153.13229 \nL 238.780591 154.824559 \nL 239.383426 156.394811 \nL 240.15468 157.835048 \nL 241.092479 159.136428 \nL 242.195486 160.289163 \nL 243.462788 161.28246 \nL 244.893784 162.104444 \nL 246.488019 162.742111 \nL 248.244983 163.181311 \nL 250.163868 163.4068 \nL 252.243291 163.402303 \nL 254.480971 163.150701 \nL 256.873339 162.634275 \nL 259.415134 161.835083 \nL 262.098921 160.73552 \nL 264.914589 159.318975 \nL 267.848805 157.57075 \nL 270.884496 155.479115 \nL 274.000278 153.036625 \nL 277.170022 150.241578 \nL 280.362468 147.099609 \nL 283.541006 143.625329 \nL 286.663709 139.843884 \nL 289.68362 135.792256 \nL 292.549427 131.520086 \nL 295.206534 127.089913 \nL 297.598552 122.576427 \nL 299.669219 118.064817 \nL 301.364668 113.647934 \nL 302.635899 109.422515 \nL 303.441378 105.48457 \nL 303.749439 101.924365 \nL 303.54034 98.821445 \nL 302.807744 96.240252 \nL 301.559476 94.226829 \nL 299.817401 92.806915 \nL 297.616513 91.985659 \nL 295.00325 91.748879 \nL 292.033202 92.065593 \nL 288.768466 92.891519 \nL 285.274816 94.172997 \nL 281.619017 95.850875 \nL 277.866331 97.864202 \nL 274.078456 100.153157 \nL 270.311917 102.661401 \nL 266.616985 105.337589 \nL 263.036997 108.136253 \nL 259.608169 111.018105 \nL 256.359685 113.949894 \nL 253.314102 116.904016 \nL 250.487909 119.85788 \nL 247.892224 122.793219 \nL 245.53354 125.695375 \nL 243.414474 128.552645 \nL 241.534516 131.355653 \nL 239.890711 134.09683 \nL 238.478298 136.769937 \nL 237.291248 139.369693 \nL 236.322762 141.891457 \nL 235.565674 144.330952 \nL 235.012779 146.684063 \nL 234.657129 148.946656 \nL 234.492227 151.114408 \nL 234.512201 153.182687 \nL 234.711922 155.146402 \nL 235.087074 156.999917 \nL 235.634201 158.736928 \nL 236.350699 160.350325 \nL 237.234808 161.832108 \nL 238.285552 163.173264 \nL 239.50265 164.363669 \nL 240.886418 165.391948 \nL 242.437614 166.245431 \nL 244.157271 166.910014 \nL 246.046474 167.37015 \nL 248.106111 167.608824 \nL 250.336551 167.607599 \nL 252.737298 167.346736 \nL 255.306562 166.805422 \nL 258.040785 165.962168 \nL 260.934086 164.79531 \nL 263.977668 163.283769 \nL 267.159158 161.408026 \nL 270.461921 159.151374 \nL 273.864403 156.501442 \nL 277.339434 153.451971 \nL 280.853713 150.004836 \nL 284.367439 146.172172 \nL 287.834132 141.978491 \nL 291.200904 137.462537 \nL 294.409083 132.678677 \nL 297.395399 127.697449 \nL 300.093697 122.605046 \nL 302.437269 117.501429 \nL 304.361616 112.496969 \nL 305.807595 107.707684 \nL 306.724717 103.249322 \nL 307.074247 99.230782 \nL 306.831911 95.747575 \nL 305.989803 92.876095 \nL 304.557359 90.669314 \nL 302.561218 89.154443 \nL 300.043948 88.332804 \nL 297.061813 88.181853 \nL 293.68179 88.6588 \nL 289.978137 89.705392 \nL 286.028838 91.253216 \nL 281.912168 93.228806 \nL 277.703743 95.558139 \nL 273.474056 98.170296 \nL 269.286683 101 \nL 265.197132 103.989219 \nL 261.252274 107.087852 \nL 257.49027 110.253819 \nL 253.940908 113.452547 \nL 250.626212 116.656242 \nL 247.561262 119.842962 \nL 244.755107 122.995667 \nL 242.211718 126.101286 \nL 239.930919 129.149876 \nL 237.909273 132.133909 \nL 236.140884 135.047652 \nL 234.618113 137.886666 \nL 233.332208 140.647392 \nL 232.273816 143.326814 \nL 231.433439 145.922226 \nL 230.801782 148.431005 \nL 230.370044 150.850454 \nL 230.13013 153.177663 \nL 230.074817 155.40938 \nL 230.197874 157.541901 \nL 230.49413 159.570978 \nL 230.959516 161.491692 \nL 231.591079 163.298361 \nL 232.386957 164.98441 \nL 233.346345 166.542262 \nL 234.469431 167.96319 \nL 235.757301 169.237195 \nL 237.211837 170.352872 \nL 238.835579 171.297245 \nL 240.631543 172.055637 \nL 242.603021 172.611581 \nL 244.753322 172.946685 \nL 247.085464 173.040609 \nL 249.601823 172.871095 \nL 252.30368 172.414079 \nL 255.19071 171.643947 \nL 258.260378 170.533992 \nL 261.507271 169.05707 \nL 264.922304 167.186541 \nL 268.491884 164.897577 \nL 272.197017 162.168782 \nL 276.01241 158.984272 \nL 279.905591 155.336124 \nL 283.836214 151.227115 \nL 287.755539 146.673633 \nL 291.606324 141.708586 \nL 295.323171 136.383842 \nL 298.833521 130.771932 \nL 302.059391 124.966482 \nL 304.919871 119.080934 \nL 307.334405 113.245267 \nL 309.226736 107.600566 \nL 310.529154 102.291697 \nL 311.186858 97.458636 \nL 311.161829 93.227332 \nL 310.435919 89.70122 \nL 309.012658 86.95457 \nL 306.917597 85.028316 \nL 304.197092 83.929231 \nL 300.915673 83.631998 \nL 297.15225 84.084067 \nL 292.99564 85.212125 \nL 288.539869 86.929425 \nL 283.879627 89.142923 \nL 279.106294 91.759481 \nL 274.304727 94.690801 \nL 269.550924 97.856796 \nL 264.91057 101.187541 \nL 260.438388 104.624016 \nL 256.17814 108.117872 \nL 252.163145 111.630617 \nL 248.417165 115.132406 \nL 244.955515 118.600696 \nL 241.786263 122.018886 \nL 238.911472 125.375072 \nL 236.328383 128.66095 \nL 234.030518 131.870902 \nL 232.008665 135.001217 \nL 230.251737 138.049521 \nL 228.747515 141.014321 \nL 227.483253 143.894632 \nL 226.446191 146.689737 \nL 225.623945 149.398984 \nL 225.004828 152.021618 \nL 224.578082 154.556691 \nL 224.334054 157.00296 \nL 224.264315 159.358808 \nL 224.361739 161.622148 \nL 224.620543 163.790378 \nL 225.036305 165.860264 \nL 225.605962 167.827874 \nL 226.327772 169.68846 \nL 227.201291 171.436341 \nL 228.227306 173.064788 \nL 229.407783 174.565861 \nL 230.745776 175.93024 \nL 232.245338 177.147054 \nL 233.911396 178.203684 \nL 235.749622 179.085576 \nL 237.766244 179.775994 \nL 239.967836 180.255869 \nL 242.361042 180.503566 \nL 244.952257 180.494801 \nL 247.747203 180.202534 \nL 250.750426 179.597026 \nL 253.964689 178.64606 \nL 257.390239 177.315353 \nL 261.023954 175.569281 \nL 264.858328 173.371992 \nL 268.880368 170.689 \nL 273.070352 167.489276 \nL 277.400587 163.748019 \nL 281.834111 159.450004 \nL 286.323616 154.593491 \nL 290.81059 149.194488 \nL 295.224974 143.291066 \nL 299.485498 136.947192 \nL 303.500921 130.255391 \nL 307.172354 123.337604 \nL 310.396777 116.343307 \nL 313.071705 109.444551 \nL 315.100806 102.827614 \nL 316.400027 96.681738 \nL 316.9037 91.185989 \nL 316.569878 86.495784 \nL 315.38422 82.731017 \nL 313.361887 79.967584 \nL 310.547147 78.233406 \nL 307.010678 77.509536 \nL 302.844917 77.735867 \nL 298.158092 78.82016 \nL 293.067572 80.648797 \nL 287.693361 83.097717 \nL 282.152218 86.042069 \nL 276.552899 89.363857 \nL 270.992674 92.957082 \nL 265.555182 96.73071 \nL 260.309456 100.609589 \nL 255.309921 104.5339 \nL 250.597177 108.457761 \nL 246.199244 112.347224 \nL 242.133124 116.178166 \nL 238.406505 119.934245 \nL 235.019425 123.60507 \nL 231.965891 127.184611 \nL 229.235324 130.669962 \nL 226.813851 134.060327 \nL 224.685395 137.35627 \nL 222.832603 140.55919 \nL 221.237597 143.670904 \nL 219.882577 146.693363 \nL 218.750288 149.62852 \nL 217.824373 152.478174 \nL 217.089631 155.243894 \nL 216.532202 157.92701 \nL 216.139679 160.528546 \nL 215.901178 163.0492 \nL 215.807368 165.489354 \nL 215.850467 167.84902 \nL 216.024235 170.127823 \nL 216.323932 172.324949 \nL 216.746283 174.439108 \nL 217.289437 176.468482 \nL 217.952912 178.41062 \nL 218.737564 180.262375 \nL 219.645535 182.019781 \nL 220.680217 183.677924 \nL 221.846209 185.230796 \nL 223.149282 186.671114 \nL 224.596325 187.990119 \nL 226.195302 189.177343 \nL 227.955186 190.220353 \nL 229.885872 191.104435 \nL 231.998068 191.812297 \nL 234.303138 192.323709 \nL 236.812904 192.615148 \nL 239.539372 192.659436 \nL 242.494363 192.425421 \nL 245.689051 191.877706 \nL 249.133351 190.976525 \nL 252.835136 189.677795 \nL 256.799281 187.933488 \nL 261.026459 185.692419 \nL 265.511733 182.90162 \nL 270.242882 179.508461 \nL 275.198528 175.463742 \nL 280.346094 170.72581 \nL 285.639727 165.265894 \nL 291.018347 159.07454 \nL 296.404133 152.168837 \nL 301.70172 144.599929 \nL 306.79852 136.45972 \nL 311.566663 127.88566 \nL 315.866809 119.061836 \nL 319.554072 110.215095 \nL 322.485962 101.60501 \nL 324.531851 93.507706 \nL 325.583124 86.194686 \nL 325.562755 79.909351 \nL 324.432955 74.844715 \nL 322.199741 71.12624 \nL 318.913547 68.802782 \nL 314.665745 67.84707 \nL 309.581577 68.165085 \nL 303.810617 69.611982 \nL 297.515998 72.011222 \nL 290.86391 75.173715 \nL 284.01433 78.914083 \nL 277.113814 83.062716 \nL 270.290549 87.473216 \nL 263.651622 92.025559 \nL 257.282257 96.62605 \nL 251.246486 101.20507 \nL 245.588877 105.713532 \nL 240.336871 110.119057 \nL 235.503414 114.402155 \nL 231.089595 118.552835 \nL 227.087167 122.567806 \nL 223.480816 126.448236 \nL 220.250144 130.198067 \nL 217.371339 133.822772 \nL 214.818551 137.328541 \nL 212.565001 140.72169 \nL 210.583834 144.008334 \nL 208.848773 147.194193 \nL 207.334595 150.284492 \nL 206.017454 153.283968 \nL 204.875099 156.19685 \nL 203.034315 161.777606 \nL 201.668793 167.052699 \nL 200.661864 172.043447 \nL 199.92088 176.767877 \nL 199.154755 183.389188 \nL 198.520692 191.42004 \nL 197.04578 213.568333 \nL 196.375579 218.491265 \nL 195.680004 221.838196 \nL 195.089104 223.913776 \nL 194.367792 225.868003 \nL 193.48511 227.701349 \nL 192.402817 229.411281 \nL 191.073592 230.990915 \nL 189.438849 232.426904 \nL 187.426105 233.696247 \nL 184.945878 234.761419 \nL 183.496982 235.199999 \nL 181.888147 235.563005 \nL 180.101783 235.837779 \nL 178.118548 236.008642 \nL 175.917255 236.056225 \nL 173.474804 235.95668 \nL 170.766167 235.680728 \nL 167.764452 235.192574 \nL 164.44107 234.448647 \nL 160.766058 233.396198 \nL 156.708614 231.971804 \nL 152.237957 230.099857 \nL 147.324544 227.691192 \nL 141.941849 224.642135 \nL 136.068783 220.834334 \nL 129.692947 216.135972 \nL 122.814825 210.405127 \nL 115.453079 203.496252 \nL 107.650863 195.270951 \nL 99.482996 185.614044 \nL 91.063446 174.455604 \nL 82.552207 161.798561 \nL 74.160062 147.749658 \nL 66.149202 132.548853 \nL 58.827559 116.589646 \nL 52.534761 100.420441 \nL 47.61877 84.717993 \nL 44.404466 70.228264 \nL 43.157727 57.679449 \nL 44.051227 47.682375 \nL 47.139059 40.641882 \nL 52.346355 36.702702 \nL 59.476608 35.744062 \nL 68.23508 37.422151 \nL 78.262969 41.245094 \nL 89.175101 46.658345 \nL 100.594356 53.120312 \nL 112.178306 60.155676 \nL 123.636117 67.383557 \nL 145.30664 81.388761 \nL 172.895312 99.488784 \nL 187.585548 109.363593 \nL 199.52279 117.731655 \nL 209.106822 124.87917 \nL 216.793973 131.047235 \nL 223.029055 136.408443 \nL 234.74888 146.870608 \nL 238.67629 149.95377 \nL 240.592531 151.253102 \nL 242.506442 152.384203 \nL 244.436602 153.340412 \nL 246.39905 154.113951 \nL 248.407359 154.696036 \nL 250.472714 155.077002 \nL 252.603904 155.246497 \nL 254.807297 155.193679 \nL 257.08677 154.907488 \nL 259.44358 154.377016 \nL 261.876201 153.591899 \nL 264.380139 152.542905 \nL 266.947724 151.222512 \nL 269.567876 149.625679 \nL 272.225934 147.750682 \nL 274.903458 145.600019 \nL 277.57815 143.181355 \nL 280.223877 140.508477 \nL 282.810801 137.602111 \nL 285.305702 134.490618 \nL 287.672504 131.210385 \nL 289.873034 127.805831 \nL 291.86802 124.328929 \nL 293.618278 120.838211 \nL 295.086138 117.397162 \nL 296.236974 114.072092 \nL 297.040761 110.929559 \nL 297.473586 108.033527 \nL 297.518991 105.442459 \nL 297.16899 103.206647 \nL 296.424737 101.365944 \nL 295.29671 99.948183 \nL 293.804455 98.968416 \nL 291.975815 98.42893 \nL 289.845809 98.320118 \nL 287.455198 98.621944 \nL 284.848808 99.305913 \nL 282.073853 100.337273 \nL 279.178242 101.677252 \nL 276.209072 103.285118 \nL 273.211327 105.120004 \nL 270.2268 107.142354 \nL 267.293365 109.315005 \nL 264.444461 111.603883 \nL 261.708847 113.978379 \nL 259.110596 116.411453 \nL 256.669238 118.879548 \nL 254.400051 121.362368 \nL 252.31445 123.842519 \nL 250.420419 126.30516 \nL 248.722997 128.737612 \nL 247.224739 131.128968 \nL 245.926185 133.469783 \nL 244.826286 135.751696 \nL 243.922793 137.967204 \nL 243.212615 140.10937 \nL 242.692107 142.17162 \nL 242.357337 144.147554 \nL 242.204291 146.030799 \nL 242.229031 147.814828 \nL 242.427833 149.49285 \nL 242.797255 151.057706 \nL 243.334193 152.501741 \nL 244.035896 153.816747 \nL 244.899938 154.993843 \nL 245.924164 156.023452 \nL 247.106609 156.89523 \nL 248.445375 157.598039 \nL 249.938484 158.119957 \nL 251.583688 158.448316 \nL 253.378253 158.569797 \nL 255.318698 158.470563 \nL 257.400505 158.136501 \nL 259.617787 157.553517 \nL 261.962941 156.707957 \nL 264.426252 155.587142 \nL 266.995496 154.18005 \nL 269.655539 152.478107 \nL 272.387944 150.476128 \nL 275.170652 148.173385 \nL 277.977681 145.57472 \nL 280.779016 142.69173 \nL 283.540591 139.543867 \nL 286.224508 136.159358 \nL 288.789518 132.575874 \nL 291.191745 128.840731 \nL 293.385711 125.010564 \nL 295.325692 121.150294 \nL 296.967301 117.331427 \nL 298.269263 113.629572 \nL 299.195317 110.121411 \nL 299.716007 106.881261 \nL 299.810365 103.977459 \nL 299.467204 101.469014 \nL 298.686014 99.402745 \nL 297.477238 97.811232 \nL 295.862001 96.711802 \nL 293.871245 96.106562 \nL 291.544382 95.983436 \nL 288.927548 96.318062 \nL 286.071616 97.076225 \nL 283.030133 98.216626 \nL 279.857331 99.693587 \nL 276.606309 101.459676 \nL 273.327485 103.467788 \nL 270.06741 105.672885 \nL 266.867894 108.033192 \nL 263.765465 110.510941 \nL 260.791175 113.07272 \nL 257.970607 115.689498 \nL 255.324124 118.336407 \nL 252.867247 120.992425 \nL 250.611143 123.639899 \nL 248.563179 126.264063 \nL 246.727479 128.852576 \nL 245.105486 131.395065 \nL 243.69651 133.882708 \nL 242.498211 136.30786 \nL 241.50705 138.663746 \nL 240.71869 140.944185 \nL 240.128313 143.143359 \nL 239.73093 145.255595 \nL 239.521586 147.275218 \nL 239.495561 149.196382 \nL 239.648497 151.012916 \nL 239.976495 152.718246 \nL 240.476171 154.305253 \nL 241.144673 155.766167 \nL 241.979676 157.092482 \nL 242.979328 158.274879 \nL 244.142174 159.30312 \nL 245.467046 160.166018 \nL 246.95292 160.851374 \nL 248.598734 161.345994 \nL 250.403178 161.635687 \nL 252.364435 161.705364 \nL 254.479881 161.539199 \nL 256.745753 161.12084 \nL 259.156758 160.433771 \nL 261.705654 159.461764 \nL 264.382791 158.18951 \nL 267.175621 156.603403 \nL 270.068223 154.692496 \nL 273.040801 152.449632 \nL 276.06926 149.872754 \nL 279.124873 146.966292 \nL 282.174067 143.742648 \nL 285.178409 140.223568 \nL 288.094819 136.441358 \nL 290.876152 132.439725 \nL 293.472072 128.274042 \nL 295.830318 124.010923 \nL 297.898365 119.726898 \nL 299.625392 115.506158 \nL 300.964495 111.437393 \nL 301.874988 107.609876 \nL 302.324617 104.109034 \nL 302.291559 101.011998 \nL 301.765883 98.383518 \nL 300.750482 96.272593 \nL 299.261229 94.71034 \nL 297.326388 93.709236 \nL 294.985355 93.263635 \nL 292.28678 93.351626 \nL 289.286277 93.937806 \nL 286.04396 94.976629 \nL 282.621899 96.41589 \nL 279.081802 98.200111 \nL 275.482967 100.27349 \nL 271.880618 102.582289 \nL 268.324692 105.076496 \nL 264.859056 107.710976 \nL 261.521116 110.445962 \nL 258.341749 113.247209 \nL 255.345541 116.085745 \nL 252.551214 118.937427 \nL 249.972184 121.782383 \nL 247.617225 124.604375 \nL 245.491148 127.390217 \nL 243.595482 130.129174 \nL 241.929133 132.812443 \nL 240.488994 135.432704 \nL 239.270481 137.983728 \nL 238.268023 140.460033 \nL 237.475477 142.856632 \nL 236.886471 145.16879 \nL 236.494692 147.391819 \nL 236.294125 149.520924 \nL 236.279223 151.551053 \nL 236.445028 153.476781 \nL 236.787273 155.292157 \nL 237.302425 156.990617 \nL 237.9877 158.564869 \nL 238.841049 160.006771 \nL 239.861106 161.307233 \nL 241.047106 162.456131 \nL 242.398785 163.442193 \nL 243.916232 164.252934 \nL 245.599716 164.874613 \nL 247.449468 165.292169 \nL 249.465428 165.489278 \nL 251.646944 165.448402 \nL 253.992406 165.150987 \nL 256.498862 164.577686 \nL 259.161541 163.708798 \nL 261.973336 162.524793 \nL 264.924248 161.00711 \nL 268.000794 159.139088 \nL 271.185383 156.90719 \nL 274.455723 154.302439 \nL 277.784281 151.322081 \nL 281.137827 147.971387 \nL 284.477194 144.265552 \nL 287.757288 140.231462 \nL 290.927373 135.909202 \nL 293.931837 131.353079 \nL 296.711381 126.631816 \nL 299.204696 121.827757 \nL 301.350661 117.034883 \nL 303.090897 112.355529 \nL 304.372605 107.895981 \nL 305.151469 103.761098 \nL 305.394342 100.048555 \nL 305.081547 96.843234 \nL 304.208415 94.212285 \nL 302.786001 92.201637 \nL 300.840797 90.834216 \nL 298.413533 90.109945 \nL 295.55708 90.007639 \nL 292.333788 90.488241 \nL 288.8124 91.49901 \nL 285.064887 92.978133 \nL 281.163466 94.859148 \nL 277.177912 97.074904 \nL 273.173405 99.56072 \nL 269.208919 102.256686 \nL 265.336163 105.109163 \nL 261.59905 108.071427 \nL 258.033607 111.1038 \nL 254.66823 114.173297 \nL 251.524231 117.253033 \nL 248.616536 120.321421 \nL 245.954496 123.361372 \nL 243.542736 126.35948 \nL 241.381994 129.305277 \nL 239.469934 132.190573 \nL 237.801864 135.008919 \nL 236.371409 137.755101 \nL 235.171084 140.424792 \nL 234.192785 143.014205 \nL 233.428204 145.519865 \nL 232.869173 147.938385 \nL 232.507922 150.266312 \nL 232.337294 152.499952 \nL 232.350904 154.635286 \nL 232.543247 156.667798 \nL 232.909767 158.592407 \nL 233.446897 160.403343 \nL 234.152052 162.094014 \nL 235.023618 163.656918 \nL 236.060888 165.083501 \nL 237.26399 166.364051 \nL 238.633788 167.487564 \nL 240.171746 168.441611 \nL 241.879758 169.21226 \nL 243.759953 169.783944 \nL 245.814444 170.139429 \nL 248.045043 170.259781 \nL 250.452907 170.124426 \nL 253.038131 169.7113 \nL 255.799267 168.997114 \nL 258.732767 167.957813 \nL 261.832365 166.569188 \nL 265.088377 164.807797 \nL 268.486954 162.652139 \nL 272.009278 160.084141 \nL 275.630815 157.091018 \nL 279.320542 153.667413 \nL 283.040399 149.817764 \nL 286.744857 145.558837 \nL 290.380897 140.922129 \nL 293.888384 135.955953 \nL 297.200966 130.72675 \nL 300.247655 125.319403 \nL 302.955039 119.836044 \nL 305.250138 114.393227 \nL 307.063827 109.117312 \nL 308.334537 104.138218 \nL 309.012008 99.582095 \nL 309.060699 95.563555 \nL 308.462514 92.178309 \nL 307.218492 89.49726 \nL 305.349254 87.562681 \nL 302.894138 86.386972 \nL 299.909082 85.954002 \nL 296.463513 86.222759 \nL 292.636537 87.132619 \nL 288.512863 88.609388 \nL 284.178805 90.571544 \nL 279.71865 92.935725 \nL 275.211665 95.621329 \nL 270.729832 98.553836 \nL 266.336316 101.666899 \nL 262.084662 104.903365 \nL 258.018611 108.215413 \nL 254.172389 111.564069 \nL 250.571358 114.918322 \nL 247.232926 118.254052 \nL 244.167565 121.552866 \nL 241.379908 124.801015 \nL 238.8698 127.988396 \nL 236.63332 131.107669 \nL 234.663693 134.153561 \nL 232.952122 137.122265 \nL 231.488479 140.010987 \nL 230.261926 142.817555 \nL 229.261405 145.54015 \nL 228.476044 148.177108 \nL 227.895481 150.726715 \nL 227.510114 153.187098 \nL 227.311284 155.556083 \nL 227.29141 157.831116 \nL 227.444082 160.009163 \nL 227.764108 162.086608 \nL 228.247542 164.059155 \nL 228.891674 165.921741 \nL 229.695012 167.668407 \nL 230.657233 169.292175 \nL 231.779125 170.784904 \nL 233.062504 172.13716 \nL 234.510106 173.338033 \nL 236.125474 174.374991 \nL 237.912795 175.233698 \nL 239.876712 175.897851 \nL 242.0221 176.34903 \nL 244.353783 176.566577 \nL 246.876186 176.527529 \nL 249.592932 176.206652 \nL 252.506329 175.576553 \nL 255.616791 174.607981 \nL 258.922137 173.270356 \nL 262.41678 171.532551 \nL 266.090828 169.364063 \nL 269.929086 166.736558 \nL 273.909987 163.625907 \nL 278.004524 160.014713 \nL 282.175271 155.89534 \nL 286.375528 151.273253 \nL 290.548813 146.170593 \nL 294.628789 140.629566 \nL 298.539866 134.715284 \nL 302.19856 128.517452 \nL 305.515819 122.150346 \nL 308.400295 115.750496 \nL 310.762493 109.471802 \nL 312.519641 103.478065 \nL 313.600855 97.933286 \nL 313.952134 92.990782 \nL 313.540613 88.782309 \nL 312.357582 85.408679 \nL 310.419764 82.933179 \nL 307.768791 81.378733 \nL 304.468752 80.729 \nL 300.602268 80.933132 \nL 296.26542 81.913014 \nL 291.56222 83.572042 \nL 286.599131 85.804027 \nL 281.480092 88.501093 \nL 276.302454 91.560171 \nL 271.15396 94.887451 \nL 266.110769 98.401086 \nL 261.236498 102.032278 \nL 256.582108 105.725138 \nL 252.186413 109.435681 \nL 248.077084 113.13035 \nL 244.271907 116.784353 \nL 240.780213 120.379989 \nL 237.604299 123.905106 \nL 234.740839 127.351733 \nL 232.182149 130.714991 \nL 229.917356 133.992171 \nL 227.933391 137.182049 \nL 226.215835 140.284347 \nL 224.749631 143.299334 \nL 223.519653 146.227544 \nL 222.511165 149.069582 \nL 221.710164 151.825973 \nL 221.10365 154.49707 \nL 220.679821 157.082952 \nL 220.428191 159.583398 \nL 220.339688 161.997804 \nL 220.40669 164.325147 \nL 220.623048 166.563925 \nL 220.984079 168.712109 \nL 221.486545 170.76704 \nL 222.128625 172.725368 \nL 222.909872 174.582941 \nL 223.831167 176.334706 \nL 224.894667 177.97453 \nL 226.103742 179.495094 \nL 227.462917 180.88768 \nL 228.977783 182.141994 \nL 230.654918 183.24592 \nL 232.501758 184.185299 \nL 234.526468 184.943662 \nL 236.737752 185.501964 \nL 239.144628 185.838313 \nL 241.756134 185.92773 \nL 244.580952 185.74195 \nL 247.62695 185.24931 \nL 250.900577 184.414763 \nL 254.406148 183.200102 \nL 258.144973 181.564444 \nL 262.114291 179.465135 \nL 266.306044 176.859122 \nL 270.705502 173.704963 \nL 275.289713 169.965571 \nL 280.025913 165.611773 \nL 284.869949 160.626699 \nL 289.764914 155.010894 \nL 294.640177 148.787869 \nL 299.411037 142.009589 \nL 303.979395 134.761146 \nL 308.235625 127.163695 \nL 312.061918 119.374503 \nL 315.337179 111.583244 \nL 317.943398 104.003858 \nL 319.773005 96.862046 \nL 320.736712 90.379334 \nL 320.770811 84.755616 \nL 319.843066 80.152522 \nL 317.956291 76.680281 \nL 315.149083 74.390312 \nL 311.493487 73.274425 \nL 307.08993 73.270559 \nL 302.06014 74.273615 \nL 296.538983 76.149157 \nL 290.666166 78.747765 \nL 284.578702 81.917989 \nL 278.404689 85.516592 \nL 272.258805 89.415565 \nL 266.239425 93.505945 \nL 260.427374 97.699033 \nL 254.885899 101.925561 \nL 249.661618 106.13371 \nL 244.786107 110.286409 \nL 240.277849 114.358542 \nL 236.144317 118.334244 \nL 232.384047 122.204561 \nL 228.988576 125.965472 \nL 225.944179 129.616327 \nL 223.233402 133.158657 \nL 220.83634 136.595323 \nL 218.731701 139.929866 \nL 216.897666 143.166084 \nL 215.312559 146.307775 \nL 213.955362 149.358586 \nL 212.806094 152.321884 \nL 211.846076 155.20075 \nL 211.058109 157.99795 \nL 210.426578 160.715962 \nL 209.9375 163.356958 \nL 209.338945 168.415336 \nL 209.18279 173.185446 \nL 209.413491 177.675852 \nL 209.997538 181.89121 \nL 210.921428 185.831644 \nL 212.190014 189.491584 \nL 212.959819 191.212635 \nL 213.825393 192.857918 \nL 214.792106 194.424157 \nL 215.866363 195.907207 \nL 217.055621 197.301875 \nL 218.368392 198.601743 \nL 219.814266 199.798952 \nL 221.403911 200.883933 \nL 223.14908 201.845104 \nL 225.062599 202.668532 \nL 227.158327 203.337527 \nL 229.451092 203.832185 \nL 231.956567 204.128901 \nL 234.691102 204.199817 \nL 237.67144 204.012267 \nL 240.914343 203.528211 \nL 244.436065 202.70373 \nL 248.251625 201.488647 \nL 252.373867 199.826385 \nL 256.812235 197.654179 \nL 261.571215 194.903902 \nL 266.648424 191.503677 \nL 272.032306 187.380602 \nL 277.699465 182.464942 \nL 283.611676 176.696019 \nL 289.712806 170.030053 \nL 295.925822 162.449882 \nL 302.150373 153.976147 \nL 308.261483 144.679002 \nL 314.110036 134.688627 \nL 319.525732 124.202186 \nL 324.323175 113.484554 \nL 328.311258 102.860137 \nL 331.305701 92.694257 \nL 333.143622 83.364675 \nL 333.698574 75.22615 \nL 332.893794 68.573733 \nL 330.711395 63.611633 \nL 327.195831 60.433849 \nL 322.450813 59.020499 \nL 316.630243 59.249682 \nL 309.92468 60.921417 \nL 302.545576 63.787883 \nL 294.709571 67.583747 \nL 286.624819 72.051888 \nL 278.480444 76.961745 \nL 270.439601 82.119787 \nL 262.636031 87.373073 \nL 255.173424 92.607663 \nL 248.126951 97.743985 \nL 241.546123 102.730724 \nL 235.458419 107.538381 \nL 229.873122 112.153473 \nL 224.785052 116.57359 \nL 220.177981 120.803449 \nL 216.027621 124.851967 \nL 212.304141 128.730139 \nL 208.974233 132.449619 \nL 206.00275 136.021793 \nL 203.353983 139.457244 \nL 200.992611 142.765493 \nL 198.884386 145.954864 \nL 195.298432 152.004567 \nL 192.357503 157.651048 \nL 188.712579 165.427495 \nL 185.490176 172.41605 \nL 183.349268 176.641603 \nL 181.079048 180.508791 \nL 179.862367 182.301245 \nL 178.574323 183.994217 \nL 177.20233 185.582329 \nL 175.733774 187.058941 \nL 174.155908 188.415956 \nL 172.455759 189.643598 \nL 170.620077 190.730157 \nL 168.6353 191.661695 \nL 166.48757 192.421732 \nL 164.162777 192.9909 \nL 161.646682 193.346567 \nL 158.925107 193.462474 \nL 155.984217 193.30838 \nL 152.810898 192.849761 \nL 149.393307 192.047612 \nL 145.721557 190.858427 \nL 141.788623 189.234438 \nL 137.591444 187.124269 \nL 133.132285 184.474121 \nL 128.42035 181.229665 \nL 123.473627 177.338872 \nL 118.320944 172.755901 \nL 113.004096 167.446199 \nL 107.579908 161.392793 \nL 102.121987 154.603538 \nL 96.721836 147.118918 \nL 91.488917 139.019355 \nL 86.549222 130.430962 \nL 82.041977 121.528026 \nL 78.114185 112.530679 \nL 74.913043 103.696473 \nL 72.576532 95.305418 \nL 71.22308 87.639362 \nL 70.941325 80.957934 \nL 71.78157 75.474776 \nL 73.750062 71.337932 \nL 76.807228 68.618035 \nL 80.870171 67.306225 \nL 85.81905 67.321611 \nL 91.506414 68.526408 \nL 97.768122 70.745322 \nL 104.434355 73.785626 \nL 111.339549 77.45492 \nL 118.330388 81.574732 \nL 125.271429 85.989271 \nL 132.048419 90.569649 \nL 138.569488 95.214365 \nL 144.764752 99.847408 \nL 150.584716 104.414783 \nL 155.997972 108.880532 \nL 160.988534 113.222705 \nL 165.553103 117.429781 \nL 169.698437 121.497599 \nL 173.438968 125.426962 \nL 176.794712 129.221764 \nL 179.789482 132.887661 \nL 182.449427 136.43112 \nL 184.801854 139.858802 \nL 186.874295 143.177174 \nL 188.693816 146.392293 \nL 190.286491 149.50969 \nL 191.677055 152.53437 \nL 192.888659 155.47079 \nL 194.858988 161.094422 \nL 196.347898 166.40773 \nL 197.478689 171.432772 \nL 198.350337 176.188041 \nL 199.338749 182.849539 \nL 201.834099 201.478916 \nL 202.767902 206.124445 \nL 203.524563 209.001934 \nL 204.424848 211.707746 \nL 205.505371 214.24204 \nL 206.809615 216.600839 \nL 208.389961 218.774294 \nL 210.309995 220.744032 \nL 211.420961 221.643505 \nL 212.647105 222.479234 \nL 214.000733 223.244465 \nL 215.495388 223.9308 \nL 217.145942 224.527838 \nL 218.968685 225.022757 \nL 220.981401 225.399819 \nL 223.203417 225.639766 \nL 225.655626 225.719124 \nL 228.360435 225.609389 \nL 231.341668 225.276097 \nL 234.62432 224.677796 \nL 238.234196 223.764929 \nL 242.19732 222.478689 \nL 246.539073 220.749945 \nL 251.282976 218.498389 \nL 256.449024 215.632143 \nL 262.051433 212.048161 \nL 268.095753 207.633924 \nL 274.575175 202.271013 \nL 281.466077 195.841334 \nL 288.722801 188.236745 \nL 296.271968 179.372791 \nL 304.006694 169.206739 \nL 311.781652 157.759266 \nL 319.410038 145.13797 \nL 326.663997 131.558628 \nL 333.28009 117.358764 \nL 338.97118 102.996563 \nL 343.445204 89.029097 \nL 346.429894 76.067099 \nL 347.700694 64.709722 \nL 347.107445 55.469893 \nL 344.594706 48.706309 \nL 340.211248 44.578861 \nL 334.106328 43.038041 \nL 326.513545 43.849863 \nL 317.725603 46.647169 \nL 308.065106 50.992815 \nL 297.856384 56.439823 \nL 287.402333 62.577919 \nL 276.968235 69.062124 \nL 266.772748 75.624349 \nL 247.727872 88.278589 \nL 231.086089 99.714139 \nL 217.094149 109.747363 \nL 211.06369 114.26924 \nL 205.632167 118.494142 \nL 200.755319 122.448986 \nL 196.384324 126.159538 \nL 192.468258 129.649137 \nL 185.797138 136.043379 \nL 180.35 141.75571 \nL 168.059976 155.386751 \nL 164.451039 158.79054 \nL 162.625295 160.262994 \nL 160.759421 161.57288 \nL 158.836314 162.711167 \nL 156.840629 163.667319 \nL 154.758717 164.429318 \nL 152.57862 164.983626 \nL 150.290122 165.315248 \nL 147.884856 165.407774 \nL 145.356471 165.243561 \nL 142.700877 164.80396 \nL 139.916559 164.06968 \nL 137.004956 163.021308 \nL 133.970916 161.640003 \nL 130.823179 159.908408 \nL 127.574931 157.811778 \nL 124.244348 155.339378 \nL 120.855109 152.486088 \nL 117.436823 149.254214 \nL 114.025345 145.655382 \nL 110.662827 141.712422 \nL 107.397481 137.461044 \nL 104.282985 132.95108 \nL 101.377409 128.24702 \nL 98.741647 123.427604 \nL 96.437364 118.584267 \nL 94.524495 113.818223 \nL 93.05844 109.2364 \nL 92.08707 104.946241 \nL 91.647893 101.049928 \nL 91.765539 97.638522 \nL 92.449907 94.786658 \nL 93.695101 92.548377 \nL 95.479384 90.954759 \nL 97.766097 90.013285 \nL 100.505481 89.709143 \nL 103.637238 90.008194 \nL 107.093544 90.860912 \nL 110.802273 92.207053 \nL 114.69011 93.980251 \nL 118.6854 96.112265 \nL 122.720516 98.536479 \nL 126.733694 101.190526 \nL 130.670243 104.018019 \nL 134.483281 106.9695 \nL 138.133943 110.002696 \nL 141.591209 113.082307 \nL 144.83144 116.17942 \nL 147.837702 119.270781 \nL 150.598972 122.337944 \nL 153.109271 125.366441 \nL 155.366822 128.34502 \nL 157.373199 131.264906 \nL 159.132576 134.119249 \nL 160.651019 136.902594 \nL 161.935892 139.610473 \nL 162.99531 142.239068 \nL 163.837719 144.784925 \nL 164.471521 147.244771 \nL 164.904782 149.615287 \nL 165.144999 151.89299 \nL 165.198931 154.07407 \nL 165.072474 156.1543 \nL 164.770575 158.128913 \nL 164.297187 159.992476 \nL 163.655255 161.738806 \nL 162.84673 163.360824 \nL 161.872611 164.850453 \nL 160.733013 166.198498 \nL 159.427256 167.394501 \nL 157.95399 168.426636 \nL 156.311344 169.281583 \nL 154.497111 169.944406 \nL 152.50897 170.398503 \nL 150.344768 170.625523 \nL 148.002832 170.60542 \nL 145.482365 170.316531 \nL 142.783887 169.735776 \nL 139.909767 168.839034 \nL 136.864823 167.601686 \nL 133.65699 165.999389 \nL 130.298063 164.009131 \nL 126.804494 161.610628 \nL 123.198184 158.787985 \nL 119.50727 155.531789 \nL 115.766801 151.841416 \nL 112.019256 147.727565 \nL 108.314766 143.214806 \nL 104.710961 138.343921 \nL 101.272306 133.173632 \nL 98.068813 127.781489 \nL 95.174121 122.263378 \nL 92.66283 116.73144 \nL 90.607285 111.310171 \nL 89.073895 106.130772 \nL 88.119274 101.324053 \nL 87.78655 97.012576 \nL 88.102232 93.302827 \nL 89.074 90.278463 \nL 90.689636 87.995288 \nL 92.917343 86.478867 \nL 95.707355 85.7248 \nL 98.994729 85.701434 \nL 102.702953 86.354746 \nL 106.748049 87.614216 \nL 111.04273 89.39928 \nL 115.50029 91.625294 \nL 120.037949 94.208707 \nL 124.579488 97.070943 \nL 129.057108 100.141082 \nL 133.412543 103.357321 \nL 137.59748 106.667397 \nL 141.57346 110.028377 \nL 145.311333 113.405834 \nL 148.790428 116.772824 \nL 151.997536 120.108696 \nL 154.925835 123.397961 \nL 157.573778 126.629213 \nL 159.944042 129.794194 \nL 162.042552 132.886991 \nL 163.877606 135.903394 \nL 165.459104 138.840388 \nL 166.797906 141.695735 \nL 167.905279 144.467655 \nL 168.792444 147.15458 \nL 169.47023 149.754967 \nL 169.948783 152.267172 \nL 170.23736 154.6893 \nL 170.344171 157.019112 \nL 170.276274 159.253938 \nL 170.039506 161.390573 \nL 169.63845 163.425181 \nL 169.076428 165.353215 \nL 168.355512 167.169299 \nL 167.476566 168.867099 \nL 166.439295 170.439207 \nL 165.242314 171.876985 \nL 163.883239 173.170404 \nL 162.358804 174.307906 \nL 160.664982 175.276201 \nL 158.797159 176.060112 \nL 156.750343 176.642378 \nL 154.519402 177.003557 \nL 152.099377 177.12187 \nL 149.485842 176.973187 \nL 146.67536 176.53105 \nL 143.66602 175.766878 \nL 140.458077 174.650341 \nL 137.054697 173.149957 \nL 133.462813 171.234017 \nL 129.694094 168.871931 \nL 125.765993 166.03595 \nL 121.702838 162.703464 \nL 117.536907 158.859748 \nL 113.309432 154.501194 \nL 109.071334 149.638912 \nL 104.883619 144.302323 \nL 100.817235 138.542543 \nL 96.95219 132.434941 \nL 93.375806 126.080283 \nL 90.18 119.603905 \nL 87.457559 113.152415 \nL 85.29757 106.887585 \nL 83.780286 100.977763 \nL 82.971813 95.587266 \nL 82.919209 90.864988 \nL 83.646567 86.933711 \nL 85.152569 83.881389 \nL 87.409892 81.755843 \nL 90.366584 80.563543 \nL 93.949207 80.272319 \nL 98.067439 80.817469 \nL 102.619503 82.110085 \nL 107.497931 84.046195 \nL 112.594975 86.515706 \nL 117.807347 89.409939 \nL 123.039949 92.627355 \nL 128.208509 96.077455 \nL 133.24113 99.682679 \nL 138.078846 103.378936 \nL 142.675458 107.114998 \nL 146.996753 110.851232 \nL 151.019342 114.557919 \nL 154.729275 118.213529 \nL 158.120568 121.803041 \nL 161.193742 125.316427 \nL 163.954458 128.747381 \nL 166.412245 132.092277 \nL 168.579406 135.349363 \nL 170.470069 138.518086 \nL 172.099383 141.598664 \nL 173.482867 144.59171 \nL 174.635884 147.498009 \nL 175.573234 150.318326 \nL 176.308838 153.053312 \nL 176.855502 155.703379 \nL 177.224759 158.268669 \nL 177.426761 160.748992 \nL 177.470212 163.143774 \nL 177.362337 165.451999 \nL 177.108878 167.672196 \nL 176.7141 169.802315 \nL 176.180827 171.839716 \nL 175.510474 173.781032 \nL 174.703086 175.622089 \nL 173.757386 177.357789 \nL 172.670831 178.981979 \nL 171.43967 180.487252 \nL 170.059002 181.864816 \nL 168.522865 183.104245 \nL 166.824308 184.193283 \nL 164.955524 185.117568 \nL 162.907973 185.860378 \nL 160.672571 186.402356 \nL 158.239918 186.721224 \nL 155.600593 186.791527 \nL 152.745527 186.584429 \nL 149.666488 186.067582 \nL 146.356672 185.205124 \nL 142.811446 183.957915 \nL 139.029245 182.284022 \nL 135.012655 180.139622 \nL 130.769672 177.480427 \nL 126.315145 174.263739 \nL 121.672351 170.451283 \nL 116.874656 166.012909 \nL 111.967124 160.931117 \nL 107.007972 155.206396 \nL 102.069562 148.862971 \nL 97.238744 141.954513 \nL 92.616164 134.569012 \nL 88.314309 126.831748 \nL 84.454023 118.905306 \nL 81.159369 110.985572 \nL 78.551019 103.293117 \nL 76.738591 96.060021 \nL 75.81253 89.51322 \nL 75.836607 83.856224 \nL 76.841905 79.252001 \nL 78.823281 75.809689 \nL 81.738805 73.577246 \nL 85.512404 72.541197 \nL 90.039261 72.633073 \nL 95.193294 73.741076 \nL 100.835659 75.724511 \nL 106.823291 78.428659 \nL 113.016615 81.698031 \nL 119.285774 85.38671 \nL 125.515132 89.365197 \nL 131.606053 93.524106 \nL 137.478024 97.775025 \nL 143.068546 102.04952 \nL 148.332033 106.29686 \nL 153.238126 110.481202 \nL 157.769643 114.578634 \nL 161.920416 118.574421 \nL 165.693173 122.460602 \nL 169.097563 126.234028 \nL 172.148388 129.894787 \nL 174.864081 133.445011 \nL 177.265412 136.88805 \nL 179.374427 140.227836 \nL 181.213609 143.468503 \nL 182.805208 146.614127 \nL 184.170741 149.668555 \nL 185.330632 152.635364 \nL 186.303945 155.5178 \nL 187.108231 158.318789 \nL 187.759424 161.040944 \nL 188.658036 166.257841 \nL 189.094505 171.184137 \nL 189.138658 175.831838 \nL 188.837538 180.209567 \nL 188.217683 184.322419 \nL 187.287149 188.171364 \nL 186.037023 191.75214 \nL 185.284926 193.438778 \nL 184.442339 195.053471 \nL 183.503683 196.593291 \nL 182.462383 198.054487 \nL 181.310852 199.432334 \nL 180.040465 200.720949 \nL 178.641542 201.913092 \nL 177.103318 202.999891 \nL 175.413929 203.970577 \nL 173.560409 204.812119 \nL 171.528699 205.508838 \nL 169.303697 206.041961 \nL 166.869333 206.389093 \nL 164.208719 206.523687 \nL 161.304368 206.414416 \nL 158.138516 206.02458 \nL 154.693598 205.311494 \nL 150.952869 204.225992 \nL 146.901289 202.712088 \nL 142.526637 200.706965 \nL 137.820989 198.141464 \nL 132.782532 194.941296 \nL 127.417834 191.029295 \nL 121.744486 186.329082 \nL 115.794165 180.770439 \nL 109.615923 174.296702 \nL 103.279501 166.874334 \nL 96.878331 158.504378 \nL 90.531563 149.235096 \nL 84.384589 139.17423 \nL 78.607162 128.498698 \nL 73.388429 117.458764 \nL 68.928371 106.373542 \nL 65.425651 95.615665 \nL 63.062655 85.584355 \nL 61.989233 76.669296 \nL 62.307413 69.210472 \nL 64.059566 63.461102 \nL 67.222315 59.561459 \nL 71.707321 57.528765 \nL 77.369029 57.264792 \nL 84.017847 58.578305 \nL 91.436646 61.216679 \nL 99.397895 64.899541 \nL 107.679179 69.34864 \nL 116.075554 74.310128 \nL 124.408034 79.568141 \nL 132.528247 84.950333 \nL 140.31975 90.327262 \nL 147.696898 95.607857 \nL 154.601994 100.732907 \nL 161.001553 105.668072 \nL 166.882204 110.397287 \nL 172.246641 114.917212 \nL 177.109903 119.232737 \nL 181.496098 123.353593 \nL 185.435632 127.291931 \nL 188.962935 131.060688 \nL 192.114646 134.672513 \nL 194.928206 138.139148 \nL 197.440803 141.471088 \nL 199.688602 144.6775 \nL 203.526402 150.743699 \nL 206.694977 156.385578 \nL 210.665188 164.116594 \nL 214.228253 171.007131 \nL 216.621551 175.130311 \nL 219.174616 178.856661 \nL 220.546596 180.561024 \nL 222.000388 182.151964 \nL 223.549384 183.622179 \nL 225.206915 184.962828 \nL 226.986339 186.163309 \nL 228.901079 187.211021 \nL 230.964655 188.091085 \nL 233.190639 188.786043 \nL 235.592586 189.275553 \nL 238.183866 189.536077 \nL 240.977445 189.540584 \nL 243.985549 189.258297 \nL 247.219216 188.65453 \nL 250.687703 187.690671 \nL 254.397725 186.324398 \nL 258.352511 184.510189 \nL 262.550653 182.200313 \nL 266.984735 179.346372 \nL 271.639763 175.901592 \nL 276.491421 171.824024 \nL 281.504243 167.080667 \nL 286.629797 161.652652 \nL 291.805109 155.541252 \nL 296.951545 148.774454 \nL 301.974518 141.413381 \nL 306.764315 133.557679 \nL 311.198433 125.348625 \nL 315.145691 116.968698 \nL 318.472182 108.636375 \nL 321.048857 100.595524 \nL 322.760265 93.099671 \nL 323.51358 86.39256 \nL 323.246759 80.687473 \nL 321.934784 76.148449 \nL 319.592856 72.876704 \nL 316.276174 70.90433 \nL 312.076063 70.196325 \nL 307.11321 70.659933 \nL 301.528826 72.159207 \nL 295.475021 74.532001 \nL 289.105502 77.606407 \nL 282.567481 81.21475 \nL 275.995426 85.203819 \nL 269.506804 89.441113 \nL 263.199776 93.817531 \nL 257.152556 98.247302 \nL 251.424069 102.665994 \nL 246.055516 107.027542 \nL 241.072465 111.300851 \nL 236.487217 115.466497 \nL 232.301188 119.51379 \nL 228.50719 123.438244 \nL 225.091492 127.23963 \nL 222.035628 130.920415 \nL 219.317935 134.484657 \nL 216.914834 137.937235 \nL 214.801843 141.283308 \nL 212.954396 144.527975 \nL 211.348451 147.676067 \nL 209.960945 150.732074 \nL 208.770122 153.700089 \nL 207.755735 156.583807 \nL 206.89917 159.386566 \nL 205.593523 164.76094 \nL 204.737934 169.843957 \nL 204.242614 174.652838 \nL 204.040658 179.202138 \nL 204.085085 183.504267 \nL 204.346034 187.569721 \nL 204.808388 191.407094 \nL 205.469973 195.022794 \nL 206.340373 198.420541 \nL 207.440376 201.600506 \nL 208.802008 204.558073 \nL 210.46915 207.281907 \nL 211.434508 208.550138 \nL 212.498662 209.751188 \nL 213.671008 210.880303 \nL 214.961971 211.931532 \nL 216.383068 212.897492 \nL 217.946972 213.769068 \nL 219.66757 214.535101 \nL 221.560007 215.181964 \nL 223.640715 215.693094 \nL 225.927412 216.04845 \nL 228.439057 216.223882 \nL 231.195741 216.190421 \nL 234.218493 215.913483 \nL 237.528976 215.352047 \nL 241.149004 214.457788 \nL 245.099882 213.174282 \nL 249.401452 211.436357 \nL 254.070817 209.169793 \nL 259.120646 206.291548 \nL 264.556998 202.710887 \nL 270.376585 198.33178 \nL 276.563425 193.057099 \nL 283.084974 186.79513 \nL 289.887774 179.468915 \nL 296.89297 171.028707 \nL 303.992174 161.467302 \nL 311.044402 150.837365 \nL 317.875046 139.268613 \nL 324.278046 126.98156 \nL 330.022382 114.2934 \nL 334.863522 101.611306 \nL 338.559928 89.409786 \nL 340.893372 78.191362 \nL 341.690627 68.434723 \nL 340.843264 60.538987 \nL 338.32174 54.775456 \nL 334.180952 51.257917 \nL 328.555839 49.938051 \nL 321.647978 50.625732 \nL 313.705641 53.027747 \nL 305.001042 56.794658 \nL 295.808429 61.565811 \nL 286.385704 67.004935 \nL 276.961272 72.82314 \nL 267.726279 78.789522 \nL 258.831741 84.731982 \nL 250.389391 90.531433 \nL 242.475069 96.112801 \nL 235.133529 101.435027 \nL 228.383799 106.481713 \nL 222.224461 111.253124 \nL 216.638515 115.75994 \nL 211.597616 120.018581 \nL 207.065626 124.047915 \nL 203.00149 127.867088 \nL 199.361496 131.494185 \nL 196.101018 134.945491 \nL 193.175789 138.235157 \nL 188.161042 144.375014 \nL 183.998315 149.984044 \nL 174.017046 163.917389 \nL 170.839926 167.584597 \nL 169.186708 169.217341 \nL 167.467574 170.706549 \nL 165.666731 172.043102 \nL 163.76931 173.216218 \nL 161.761298 174.213304 \nL 159.629539 175.019796 \nL 157.36175 175.619027 \nL 154.946638 175.992109 \nL 152.374059 176.117838 \nL 149.635269 175.972685 \nL 146.723275 175.530874 \nL 143.633267 174.764587 \nL 140.363175 173.644376 \nL 136.914332 172.139801 \nL 133.292266 170.220406 \nL 129.507584 167.857038 \nL 125.576936 165.023622 \nL 121.524047 161.699413 \nL 117.380705 157.871762 \nL 113.187654 153.539234 \nL 108.995238 148.715091 \nL 104.863714 143.430756 \nL 100.862982 137.738968 \nL 97.071626 131.716085 \nL 93.575096 125.462996 \nL 90.462975 119.104052 \nL 87.825252 112.78361 \nL 85.747883 106.659934 \nL 84.307736 100.896699 \nL 83.567534 95.652733 \nL 83.571187 91.071091 \nL 84.340094 87.268893 \nL 85.870947 84.32919 \nL 88.13529 82.296171 \nL 91.080951 81.17416 \nL 94.635186 80.930472 \nL 98.709167 81.501362 \nL 103.203243 82.800063 \nL 108.012464 84.725609 \nL 113.031818 87.171237 \nL 118.16074 90.031675 \nL 123.306695 93.208578 \nL 128.387691 96.614147 \nL 133.333718 100.173079 \nL 138.087346 103.822977 \nL 142.603514 107.513828 \nL 146.848779 111.206765 \nL 150.800205 114.872509 \nL 154.444026 118.489702 \nL 157.774223 122.043304 \nL 160.791104 125.523134 \nL 163.499985 128.922655 \nL 165.909962 132.237966 \nL 168.032846 135.467007 \nL 169.882232 138.608928 \nL 171.472721 141.663633 \nL 172.819284 144.631457 \nL 173.936746 147.512888 \nL 174.839383 150.308423 \nL 175.54061 153.018426 \nL 176.052755 155.64305 \nL 176.386897 158.182152 \nL 176.552754 160.635243 \nL 176.558623 163.001453 \nL 176.41134 165.279433 \nL 176.116278 167.467346 \nL 175.677359 169.562741 \nL 175.097077 171.562529 \nL 174.376534 173.462853 \nL 173.515485 175.258987 \nL 172.512388 176.945209 \nL 171.364462 178.514658 \nL 170.067751 179.959143 \nL 168.617194 181.268991 \nL 167.006715 182.432797 \nL 165.229337 183.437216 \nL 163.277305 184.266711 \nL 161.142256 184.903283 \nL 158.815433 185.326212 \nL 156.28795 185.511815 \nL 153.551132 185.433225 \nL 150.596958 185.060253 \nL 147.418592 184.359353 \nL 144.011051 183.293781 \nL 140.372025 181.823968 \nL 136.502852 179.908277 \nL 132.409674 177.504167 \nL 128.104748 174.569976 \nL 123.607924 171.067335 \nL 118.948202 166.964411 \nL 114.165287 162.239951 \nL 109.311034 156.888072 \nL 104.450575 150.923605 \nL 99.662869 144.387568 \nL 95.040435 137.352137 \nL 90.68796 129.924229 \nL 86.719521 122.246671 \nL 83.254308 114.495963 \nL 80.410854 106.875864 \nL 78.300077 99.60661 \nL 77.017662 92.91035 \nL 76.636579 86.99426 \nL 77.200691 82.033672 \nL 78.720277 78.157624 \nL 81.170253 75.439277 \nL 84.491367 73.892639 \nL 88.594209 73.475916 \nL 93.365516 74.100389 \nL 98.675939 75.643084 \nL 104.388234 77.960878 \nL 110.365072 80.903834 \nL 116.475695 84.326492 \nL 122.601048 88.095986 \nL 128.637226 92.096997 \nL 134.497296 96.233899 \nL 140.11181 100.430679 \nL 145.428178 104.629374 \nL 150.409342 108.787623 \nL 155.031979 112.875965 \nL 159.284467 116.87511 \nL 163.164828 120.773471 \nL 166.678768 124.565106 \nL 169.837858 128.247996 \nL 172.657949 131.822725 \nL 175.157809 135.291532 \nL 177.35798 138.657555 \nL 179.27985 141.924382 \nL 180.944922 145.095697 \nL 182.374232 148.175089 \nL 183.587933 151.165925 \nL 184.604977 154.071305 \nL 185.442913 156.894024 \nL 186.117747 159.636569 \nL 186.643876 162.301151 \nL 187.034063 164.889693 \nL 187.449577 169.845047 \nL 187.434665 174.512986 \nL 187.036133 178.899863 \nL 186.27925 183.007657 \nL 185.169606 186.833088 \nL 184.47923 188.637082 \nL 183.694551 190.366041 \nL 182.811283 192.017247 \nL 181.824082 193.587198 \nL 180.726545 195.071483 \nL 179.511207 196.464601 \nL 178.169533 197.75978 \nL 176.691909 198.948746 \nL 175.067641 200.021461 \nL 173.28496 200.9658 \nL 171.331049 201.767217 \nL 169.192083 202.408324 \nL 166.853325 202.86845 \nL 164.299253 203.123132 \nL 161.513768 203.143594 \nL 158.480501 202.896198 \nL 155.183215 202.341919 \nL 151.606396 201.435887 \nL 147.736011 200.127091 \nL 143.560514 198.358347 \nL 139.072141 196.066674 \nL 134.268512 193.184316 \nL 129.154622 189.640622 \nL 123.745173 185.365083 \nL 118.067269 180.291875 \nL 112.163363 174.366102 \nL 106.094225 167.551902 \nL 99.94172 159.842319 \nL 93.810892 151.270354 \nL 87.830792 141.920095 \nL 82.153368 131.936101 \nL 76.949822 121.528734 \nL 72.40385 110.972703 \nL 68.701686 100.596615 \nL 66.01933 90.762376 \nL 64.508171 81.835701 \nL 64.280656 74.15112 \nL 65.398287 67.977315 \nL 67.863962 63.489406 \nL 71.620105 60.753645 \nL 76.553073 59.727471 \nL 82.503084 60.273885 \nL 89.278 62.186303 \nL 96.668727 65.218092 \nL 104.464127 69.11121 \nL 112.463704 73.619595 \nL 120.487115 78.525338 \nL 128.380191 83.647345 \nL 136.0177 88.843719 \nL 143.30352 94.009626 \nL 150.16888 99.072463 \nL 156.569404 103.985841 \nL 162.481542 108.723562 \nL 167.89884 113.274087 \nL 172.828367 117.635951 \nL 177.287462 121.81416 \nL 181.300896 125.817458 \nL 184.898502 129.656428 \nL 188.113232 133.34217 \nL 190.979615 136.885495 \nL 193.532566 140.296441 \nL 195.806499 143.584003 \nL 197.834691 146.756094 \nL 201.278822 152.780115 \nL 204.095749 158.411287 \nL 207.572261 166.182834 \nL 211.631248 175.358805 \nL 213.6989 179.44308 \nL 215.935039 183.177152 \nL 217.147191 184.905451 \nL 218.438235 186.535482 \nL 219.820344 188.061528 \nL 221.305858 189.476552 \nL 222.907391 190.77199 \nL 224.637899 191.937518 \nL 226.51073 192.960759 \nL 228.539643 193.826987 \nL 230.738791 194.518774 \nL 233.122645 195.015618 \nL 235.70586 195.293542 \nL 238.50307 195.324697 \nL 241.528578 195.07698 \nL 244.795921 194.513707 \nL 248.317289 193.593408 \nL 252.10276 192.269829 \nL 256.159334 190.492201 \nL 260.489707 188.205982 \nL 265.090805 185.354214 \nL 269.952017 181.879637 \nL 275.053185 177.727886 \nL 280.362403 172.851815 \nL 285.833721 167.217199 \nL 291.404961 160.809694 \nL 296.995925 153.642803 \nL 302.507362 145.766261 \nL 307.821135 137.273743 \nL 312.802111 128.308507 \nL 317.302109 119.065156 \nL 321.16625 109.785789 \nL 324.241556 100.749307 \nL 326.387326 92.253632 \nL 327.486338 84.592207 \nL 327.455436 78.027742 \nL 326.25407 72.767299 \nL 323.889277 68.943188 \nL 320.416287 66.603196 \nL 315.934543 65.711631 \nL 310.579749 66.160351 \nL 304.513198 67.787152 \nL 297.909891 70.397357 \nL 290.947026 73.784995 \nL 283.794022 77.750565 \nL 276.60491 82.113778 \nL 269.51323 86.721025 \nL 262.629409 91.448259 \nL 256.040236 96.200256 \nL 249.809837 100.907684 \nL 243.981762 105.522987 \nL 238.581631 110.015977 \nL 233.620039 114.369651 \nL 229.095437 118.576517 \nL 224.996815 122.635627 \nL 221.306106 126.550226 \nL 218.000248 130.326064 \nL 215.052913 133.970125 \nL 212.435915 137.489836 \nL 210.120322 140.892525 \nL 208.077309 144.1851 \nL 206.278801 147.373907 \nL 204.697928 150.464646 \nL 203.309329 153.462419 \nL 201.016092 159.196575 \nL 199.231318 164.606583 \nL 197.81528 169.716324 \nL 196.138336 176.859122 \nL 192.91806 191.329833 \nL 191.90844 194.942367 \nL 190.767528 198.331909 \nL 189.445779 201.497498 \nL 187.889508 204.432674 \nL 186.038157 207.123368 \nL 184.980349 208.369797 \nL 183.821556 209.544711 \nL 182.551051 210.642557 \nL 181.157163 211.656431 \nL 179.627201 212.577801 \nL 177.947374 213.396202 \nL 176.102728 214.098834 \nL 174.077113 214.670149 \nL 171.853157 215.091312 \nL 169.412298 215.339617 \nL 166.734864 215.387809 \nL 163.800232 215.203339 \nL 160.587104 214.747548 \nL 157.073915 213.974842 \nL 153.239435 212.831891 \nL 149.063617 211.25695 \nL 144.528752 209.179466 \nL 139.621021 206.520133 \nL 134.33248 203.191738 \nL 128.663589 199.101114 \nL 122.626305 194.152715 \nL 116.247756 188.254298 \nL 109.574348 181.325205 \nL 102.676158 173.307654 \nL 95.651123 164.180894 \nL 88.62843 153.977726 \nL 81.770195 142.801499 \nL 75.270373 130.840921 \nL 69.349791 118.378546 \nL 64.246427 105.788453 \nL 60.200785 93.51915 \nL 57.436973 82.060195 \nL 56.141673 71.89487 \nL 56.443747 63.445965 \nL 58.398411 57.025199 \nL 61.978838 52.797493 \nL 67.07724 50.768015 \nL 73.515251 50.794309 \nL 81.061628 52.61887 \nL 89.453952 55.913197 \nL 98.420702 60.323181 \nL 107.700629 65.507536 \nL 117.057473 71.16459 \nL 126.289433 77.046808 \nL 135.233537 82.964582 \nL 143.766022 88.782672 \nL 151.79978 94.412227 \nL 159.280062 99.801269 \nL 166.179358 104.9252 \nL 172.49215 109.778517 \nL 178.229961 114.368053 \nL 183.416964 118.707872 \nL 188.086247 122.815571 \nL 192.276746 126.709779 \nL 196.030796 130.408572 \nL 199.392241 133.928531 \nL 202.405008 137.284258 \nL 207.554784 143.550801 \nL 211.801459 149.283302 \nL 223.308752 165.591545 \nL 224.869689 167.44241 \nL 226.471879 169.163059 \nL 228.132503 170.746813 \nL 229.867723 172.185528 \nL 231.692798 173.469465 \nL 233.622174 174.587151 \nL 235.66952 175.525228 \nL 237.847737 176.268263 \nL 240.168891 176.79863 \nL 242.64409 177.096361 \nL 245.283285 177.139084 \nL 248.094983 176.901998 \nL 251.085875 176.357957 \nL 254.260337 175.47775 \nL 257.619837 174.230546 \nL 261.162204 172.584607 \nL 264.880775 170.508377 \nL 268.763462 167.971974 \nL 272.791689 164.949122 \nL 276.939342 161.419652 \nL 281.171722 157.372464 \nL 285.444651 152.808954 \nL 289.703842 147.746682 \nL 293.884716 142.223002 \nL 297.912795 136.298215 \nL 301.704933 130.057737 \nL 305.171423 123.612562 \nL 308.219153 117.097575 \nL 310.755693 110.667155 \nL 312.694194 104.48802 \nL 313.958722 98.729665 \nL 314.489508 93.553213 \nL 314.247611 89.099922 \nL 313.218374 85.480997 \nL 311.413226 82.769961 \nL 308.869495 80.998848 \nL 305.648327 80.158493 \nL 301.830884 80.202795 \nL 297.513289 81.055857 \nL 292.800955 82.620942 \nL 287.802848 84.789737 \nL 282.626218 87.45096 \nL 277.372207 90.497312 \nL 272.132504 93.830506 \nL 266.987151 97.364387 \nL 262.003372 101.026275 \nL 257.235322 104.756949 \nL 252.724547 108.509746 \nL 248.50094 112.249062 \nL 244.584023 115.948591 \nL 240.984395 119.589581 \nL 237.705225 123.15922 \nL 234.743698 126.649163 \nL 232.092353 130.054378 \nL 229.740296 133.372157 \nL 227.674245 136.60138 \nL 225.879428 139.741943 \nL 224.340325 142.794332 \nL 223.041271 145.759343 \nL 221.96694 148.637846 \nL 221.102709 151.430654 \nL 220.434949 154.138399 \nL 219.951214 156.761463 \nL 219.640392 159.299953 \nL 219.49279 161.753599 \nL 219.500182 164.121751 \nL 219.655835 166.403319 \nL 219.954501 168.596695 \nL 220.392396 170.699726 \nL 220.967178 172.709619 \nL 221.677901 174.622841 \nL 222.524973 176.435021 \nL 223.510108 178.140839 \nL 224.636272 179.733864 \nL 225.907625 181.206394 \nL 227.329456 182.549259 \nL 228.908101 183.751615 \nL 230.650857 184.800715 \nL 232.565858 185.68163 \nL 234.661932 186.377 \nL 236.948409 186.866726 \nL 239.434887 187.127709 \nL 242.130904 187.133589 \nL 245.045553 186.85454 \nL 248.186978 186.257161 \nL 251.561734 185.30452 \nL 255.174018 183.956422 \nL 259.024714 182.169986 \nL 263.110271 179.900651 \nL 267.421374 177.103738 \nL 271.941463 173.736682 \nL 276.645109 169.762108 \nL 281.496328 165.151733 \nL 286.446947 159.891185 \nL 291.435228 153.985505 \nL 296.384969 147.465094 \nL 301.205367 140.39136 \nL 305.791921 132.861357 \nL 310.028799 125.010267 \nL 313.79271 117.01057 \nL 316.95846 109.066963 \nL 319.405971 101.406533 \nL 321.028228 94.264395 \nL 321.739448 87.866172 \nL 321.482446 82.409461 \nL 320.234226 78.047109 \nL 318.008887 74.874913 \nL 314.85742 72.925905 \nL 310.864277 72.171799 \nL 306.141328 72.531055 \nL 300.8199 73.881693 \nL 295.042042 76.076246 \nL 288.952024 78.956701 \nL 282.688819 82.367303 \nL 276.380242 86.164143 \nL 270.138812 90.221321 \nL 264.059409 94.433794 \nL 258.218499 98.717743 \nL 252.674525 103.009079 \nL 247.469226 107.260954 \nL 242.629461 111.440828 \nL 238.169346 115.527447 \nL 234.092444 119.508173 \nL 230.393878 123.376624 \nL 227.06228 127.130799 \nL 224.081513 130.771588 \nL 221.432155 134.301699 \nL 219.092734 137.724836 \nL 217.04074 141.04516 \nL 215.253421 144.266929 \nL 213.708413 147.394287 \nL 212.384201 150.431119 \nL 211.260454 153.381002 \nL 210.318256 156.24719 \nL 209.540249 159.032592 \nL 208.910711 161.739839 \nL 208.04243 166.928922 \nL 207.620391 171.830186 \nL 207.576208 176.455899 \nL 207.863884 180.815104 \nL 208.457465 184.913555 \nL 209.348993 188.753142 \nL 210.547001 192.330885 \nL 212.075601 195.63733 \nL 212.97559 197.183509 \nL 213.974216 198.654106 \nL 215.078843 200.04487 \nL 216.297854 201.35046 \nL 217.640674 202.564284 \nL 219.117804 203.678229 \nL 220.74084 204.682405 \nL 222.522494 205.564808 \nL 224.476592 206.310948 \nL 226.618054 206.90341 \nL 228.962827 207.321367 \nL 231.527788 207.54002 \nL 234.330555 207.530006 \nL 237.389221 207.256761 \nL 240.721951 206.679882 \nL 244.346437 205.75254 \nL 248.279123 204.421034 \nL 252.534201 202.624575 \nL 257.122289 200.295481 \nL 262.048729 197.360012 \nL 267.311513 193.74013 \nL 272.898719 189.356478 \nL 278.785584 184.133026 \nL 284.931184 178.003657 \nL 291.274991 170.921005 \nL 297.733549 162.867409 \nL 304.197816 153.867584 \nL 310.531765 144.00177 \nL 316.573075 133.417387 \nL 322.136652 122.336432 \nL 327.021733 111.055326 \nL 331.022775 99.934347 \nL 333.943757 89.374995 \nL 335.614624 79.786282 \nL 335.907832 71.544054 \nL 334.752433 64.950138 \nL 332.143188 60.199481 \nL 328.142863 57.362122 \nL 322.877138 56.383542 \nL 316.523114 57.102206 \nL 309.293331 59.279402 \nL 301.418061 62.634105 \nL 293.128359 66.87624 \nL 284.641889 71.733126 \nL 276.152572 76.967122 \nL 267.824297 82.384315 \nL 259.788351 87.836012 \nL 252.143736 93.215276 \nL 244.95955 98.450669 \nL 238.278569 103.499048 \nL 232.121423 108.338443 \nL 226.490799 112.961879 \nL 221.37543 117.372304 \nL 216.753629 121.57872 \nL 212.596318 125.593327 \nL 208.869546 129.429561 \nL 205.536509 133.100826 \nL 202.559128 136.619704 \nL 199.899246 139.997553 \nL 197.519508 143.244315 \nL 193.458542 149.377168 \nL 190.11189 155.070333 \nL 185.936172 162.85476 \nL 182.214541 169.773007 \nL 179.729585 173.899699 \nL 177.089732 177.615906 \nL 175.674884 179.309362 \nL 174.178043 180.885039 \nL 172.585511 182.335218 \nL 170.883729 183.650587 \nL 169.059207 184.820029 \nL 167.098471 185.830371 \nL 164.988063 186.666129 \nL 162.714585 187.309212 \nL 160.264796 187.738647 \nL 157.625801 187.930273 \nL 154.785283 187.856506 \nL 151.731896 187.486132 \nL 148.455723 186.784227 \nL 144.948928 185.71224 \nL 141.206531 184.228328 \nL 137.227408 182.288041 \nL 133.015457 179.845489 \nL 128.580977 176.855084 \nL 123.942234 173.274088 \nL 119.127115 169.065949 \nL 114.174885 164.204642 \nL 109.137791 158.679824 \nL 104.082402 152.502737 \nL 99.090347 145.712352 \nL 94.258219 138.381076 \nL 89.696223 130.619087 \nL 85.52537 122.576054 \nL 81.872955 114.439203 \nL 78.866336 106.426608 \nL 76.625362 98.775555 \nL 75.253966 91.726508 \nL 74.831846 85.504229 \nL 75.407297 80.298881 \nL 76.992193 76.249702 \nL 79.559969 73.434294 \nL 83.046892 71.865055 \nL 87.356564 71.493093 \nL 92.366946 72.218531 \nL 97.938974 73.904887 \nL 103.925614 76.394893 \nL 110.180384 79.525428 \nL 116.564578 83.13976 \nL 122.9527 87.096221 \nL 129.236054 91.273272 \nL 135.324523 95.571401 \nL 141.146903 99.912665 \nL 146.650091 104.238677 \nL 151.797482 108.507727 \nL 156.566939 112.691648 \nL 160.948546 116.772804 \nL 164.942354 120.741407 \nL 168.556276 124.593266 \nL 171.804158 128.328017 \nL 174.704102 131.947746 \nL 177.277058 135.455984 \nL 179.545633 138.857027 \nL 181.533155 142.155421 \nL 183.262924 145.355699 \nL 184.757647 148.46216 \nL 186.03902 151.478802 \nL 187.127435 154.40929 \nL 188.041781 157.256925 \nL 188.799334 160.024673 \nL 189.904841 165.330949 \nL 190.549013 170.346375 \nL 190.811673 175.085694 \nL 190.749688 179.560676 \nL 190.399538 183.78034 \nL 189.779677 187.750804 \nL 188.892429 191.474747 \nL 187.725273 194.950462 \nL 186.251487 198.170347 \nL 185.387392 199.67984 \nL 184.430169 201.118684 \nL 183.372399 202.48312 \nL 182.205682 203.768392 \nL 180.920596 204.968572 \nL 179.506662 206.076331 \nL 177.952299 207.082678 \nL 176.244795 207.976655 \nL 174.370286 208.74495 \nL 172.313747 209.371495 \nL 170.059029 209.836964 \nL 167.588919 210.118223 \nL 164.88528 210.187709 \nL 161.929258 210.012765 \nL 158.701602 209.554945 \nL 155.183142 208.769326 \nL 151.355438 207.603879 \nL 147.201684 205.999061 \nL 142.707901 203.887677 \nL 137.864483 201.195299 \nL 132.668177 197.841476 \nL 127.124513 193.742063 \nL 121.250711 188.813117 \nL 115.079066 182.976722 \nL 108.660602 176.169125 \nL 102.068797 168.35138 \nL 95.402987 159.522217 \nL 88.790749 149.732319 \nL 82.38857 139.098324 \nL 76.379813 127.813887 \nL 70.969153 116.154322 \nL 66.372935 104.471275 \nL 62.805491 93.174668 \nL 60.462204 82.701412 \nL 59.50132 73.473658 \nL 60.02707 65.853128 \nL 62.076986 60.100007 \nL 65.616001 56.345459 \nL 70.538516 54.583245 \nL 76.678121 54.681724 \nL 83.823259 56.412113 \nL 91.736004 59.48562 \nL 100.171025 63.591386 \nL 108.892185 68.428638 \nL 117.685317 73.72946 \nL 126.366472 79.271482 \nL 134.785961 84.881689 \nL 142.828898 90.434065 \nL 150.413218 95.84324 \nL 157.486091 101.05674 \nL 164.019557 106.046981 \nL 170.005948 110.804174 \nL 175.453535 115.330415 \nL 180.38257 119.635108 \nL 184.821912 123.731602 \nL 188.806192 127.634862 \nL 192.373542 131.359911 \nL 195.563804 134.9209 \nL 198.417168 138.330593 \nL 200.973174 141.600128 \nL 205.343971 147.755045 \nL 208.958018 153.442938 \nL 214.867224 163.542126 \nL 217.554278 167.973313 \nL 220.278344 171.980391 \nL 221.697442 173.816693 \nL 223.175785 175.53495 \nL 224.728425 177.128693 \nL 226.369904 178.590018 \nL 228.114364 179.909435 \nL 229.975632 181.075652 \nL 231.967264 182.075388 \nL 234.102543 182.893104 \nL 236.394433 183.510793 \nL 238.855463 183.907719 \nL 241.497545 184.060216 \nL 244.33171 183.941505 \nL 247.367731 183.52161 \nL 250.613624 182.76738 \nL 254.07503 181.642724 \nL 257.754431 180.10908 \nL 261.650207 178.126266 \nL 265.755525 175.65377 \nL 270.057071 172.65261 \nL 274.533641 169.087899 \nL 279.154693 164.932119 \nL 283.878895 160.169166 \nL 288.65287 154.799049 \nL 293.410276 148.843002 \nL 298.071503 142.348578 \nL 302.544226 135.394019 \nL 306.725075 128.091094 \nL 310.502652 120.585433 \nL 313.761979 113.053439 \nL 316.390274 105.695247 \nL 318.28376 98.723637 \nL 319.354904 92.349699 \nL 319.539357 86.766762 \nL 318.801644 82.134848 \nL 317.138927 78.56786 \nL 314.582108 76.125715 \nL 311.194179 74.812393 \nL 307.06595 74.58011 \nL 302.309788 75.338407 \nL 297.052117 76.966338 \nL 291.425687 79.325697 \nL 285.562281 82.273418 \nL 279.586647 85.671695 \nL 273.611802 89.39528 \nL 267.735999 93.335761 \nL 262.041135 97.403369 \nL 256.592427 101.526769 \nL 251.439057 105.651462 \nL 246.615511 109.737517 \nL 242.143308 113.757005 \nL 238.032926 117.691487 \nL 234.285763 121.52972 \nL 230.896004 125.265734 \nL 227.852325 128.897261 \nL 225.139395 132.424492 \nL 222.739175 135.849198 \nL 220.631983 139.174048 \nL 218.797387 142.402123 \nL 217.214894 145.536657 \nL 215.864495 148.580789 \nL 214.727071 151.537485 \nL 213.784693 154.409453 \nL 213.02082 157.199122 \nL 212.420425 159.908628 \nL 211.970071 162.539816 \nL 211.657935 165.094256 \nL 211.473797 167.573239 \nL 211.456492 172.308587 \nL 211.86708 176.750501 \nL 212.677209 180.898531 \nL 213.229018 182.860543 \nL 213.879496 184.746007 \nL 214.630757 186.55281 \nL 215.486069 188.278176 \nL 216.449828 189.918546 \nL 217.527549 191.469437 \nL 218.725852 192.925299 \nL 220.052455 194.279319 \nL 221.516165 195.523198 \nL 223.12687 196.646907 \nL 224.895505 197.638386 \nL 226.834022 198.483214 \nL 228.955323 199.164232 \nL 231.273157 199.661114 \nL 233.80197 199.949922 \nL 236.556675 200.002625 \nL 239.552362 199.786609 \nL 242.803847 199.264241 \nL 246.325114 198.392482 \nL 250.128553 197.122706 \nL 254.223981 195.400742 \nL 258.617399 193.167375 \nL 263.309446 190.359401 \nL 268.293554 186.911558 \nL 273.553731 182.759496 \nL 279.062117 177.844113 \nL 284.776291 172.11743 \nL 290.636598 165.550104 \nL 296.563744 158.140405 \nL 302.457035 149.924127 \nL 308.193855 140.984381 \nL 313.630855 131.45971 \nL 318.607536 121.548369 \nL 322.952551 111.506496 \nL 326.492843 101.638375 \nL 329.065248 92.27784 \nL 330.529464 83.761879 \nL 330.780943 76.399582 \nL 329.761695 70.441333 \nL 327.467304 66.053873 \nL 323.948803 63.306171 \nL 319.308986 62.16843 \nL 313.693773 62.523934 \nL 307.280019 64.19033 \nL 300.26167 66.945592 \nL 292.83616 70.553686 \nL 285.192619 74.786137 \nL 277.502811 79.437552 \nL 269.915201 84.334415 \nL 262.55191 89.338291 \nL 255.508153 94.344616 \nL 248.853524 99.278987 \nL 242.634451 104.091993 \nL 236.877369 108.753817 \nL 231.592067 113.249238 \nL 226.77502 117.573355 \nL 222.412433 121.728092 \nL 218.482945 125.719602 \nL 214.959923 129.556323 \nL 211.813359 133.247653 \nL 209.011402 136.803063 \nL 206.521546 140.231596 \nL 204.311539 143.541539 \nL 202.350046 146.740325 \nL 200.60711 149.83448 \nL 197.665655 155.730821 \nL 195.283509 161.267016 \nL 193.28716 166.469552 \nL 188.264901 180.23057 \nL 186.558374 184.223319 \nL 184.687088 187.913385 \nL 182.568755 191.2848 \nL 181.390895 192.8428 \nL 180.119475 194.309407 \nL 178.743147 195.678474 \nL 177.25003 196.942437 \nL 175.627634 198.092087 \nL 173.862806 199.11627 \nL 171.941682 200.001577 \nL 169.849685 200.731953 \nL 167.571558 201.288289 \nL 165.091445 201.647956 \nL 162.393041 201.784311 \nL 159.459821 201.66617 \nL 156.275399 201.257307 \nL 152.824002 200.515999 \nL 149.091151 199.394701 \nL 145.064532 197.839911 \nL 140.73513 195.792425 \nL 136.098689 193.188095 \nL 131.157469 189.95935 \nL 125.92239 186.037728 \nL 120.415485 181.3577 \nL 114.672662 175.862094 \nL 108.746557 169.509196 \nL 102.709273 162.281641 \nL 96.654671 154.196613 \nL 90.699609 145.316555 \nL 84.983637 135.758949 \nL 79.666463 125.703068 \nL 74.922592 115.391279 \nL 70.932955 105.122558 \nL 67.873626 95.236679 \nL 65.902522 86.089184 \nL 65.145426 78.019666 \nL 65.683377 71.317991 \nL 67.543399 66.194433 \nL 70.694279 62.759642 \nL 75.048275 61.018249 \nL 80.468453 60.876867 \nL 86.780496 62.163894 \nL 93.787018 64.656216 \nL 101.282287 68.107426 \nL 109.065493 72.27267 \nL 116.951386 76.927452 \nL 124.777582 81.879161 \nL 132.40869 86.972119 \nL 139.737597 92.087467 \nL 146.684613 97.139663 \nL 153.195136 102.071241 \nL 159.236459 106.846967 \nL 164.794238 111.448348 \nL 169.868947 115.868752 \nL 174.472575 120.109538 \nL 178.625688 124.177002 \nL 182.354907 128.080167 \nL 185.690814 131.829241 \nL 188.666263 135.434599 \nL 191.31506 138.906161 \nL 193.670947 142.253018 \nL 195.766863 145.483304 \nL 197.634413 148.604127 \nL 200.802274 154.541009 \nL 203.391027 160.102436 \nL 206.586087 167.797437 \nL 210.32308 176.923067 \nL 212.231329 181.00786 \nL 214.298886 184.763962 \nL 215.42127 186.5129 \nL 216.617921 188.171034 \nL 217.900349 189.733608 \nL 219.280292 191.194689 \nL 220.769822 192.546993 \nL 222.381434 193.781647 \nL 224.128104 194.887947 \nL 226.023343 195.853041 \nL 228.081198 196.661609 \nL 230.316232 197.295478 \nL 232.743446 197.733214 \nL 235.37813 197.94968 \nL 238.235657 197.915592 \nL 241.331127 197.597098 \nL 244.678938 196.955388 \nL 248.292146 195.946457 \nL 252.181658 194.521056 \nL 256.355195 192.624961 \nL 260.815961 190.199747 \nL 265.561068 187.184196 \nL 270.5796 183.516634 \nL 275.850432 179.138365 \nL 281.339817 173.998455 \nL 286.998857 168.060032 \nL 292.761113 161.307969 \nL 298.540622 153.757758 \nL 304.230809 145.464779 \nL 309.70473 136.532803 \nL 314.817245 127.120015 \nL 319.409534 117.440565 \nL 323.316267 107.759583 \nL 326.375287 98.380495 \nL 328.439145 89.624329 \nL 329.387373 81.803054 \nL 329.137911 75.190231 \nL 327.655905 69.994221 \nL 324.958396 66.338591 \nL 321.114012 64.253711 \nL 316.237651 63.68043 \nL 310.480958 64.484635 \nL 304.02018 66.479017 \nL 297.043112 69.447367 \nL 289.736842 73.167316 \nL 282.27747 77.428664 \nL 274.822595 82.04567 \nL 267.506605 86.863594 \nL 260.438596 91.760342 \nL 253.7024 96.644594 \nL 247.358145 101.451935 \nL 241.444803 106.139986 \nL 235.983209 110.683498 \nL 230.979256 115.069886 \nL 226.426941 119.295448 \nL 222.311178 123.362367 \nL 218.610244 127.276392 \nL 215.297869 131.045216 \nL 212.344938 134.677336 \nL 209.72087 138.181287 \nL 207.394687 141.565193 \nL 205.335826 144.836556 \nL 203.514721 148.002092 \nL 201.903218 151.067772 \nL 199.204896 156.919773 \nL 197.051033 162.426765 \nL 195.281066 167.614584 \nL 192.380111 177.105566 \nL 190.367289 183.49622 \nL 188.949391 187.421234 \nL 187.387044 191.076917 \nL 185.610614 194.455067 \nL 183.548044 197.53853 \nL 182.385409 198.961137 \nL 181.121354 200.297811 \nL 179.744685 201.542144 \nL 178.243463 202.686253 \nL 176.604938 203.720507 \nL 174.815483 204.633204 \nL 172.860565 205.410211 \nL 170.724741 206.03455 \nL 168.391683 206.485897 \nL 165.844267 206.740072 \nL 163.064724 206.768438 \nL 160.034885 206.537298 \nL 156.736555 206.007261 \nL 153.152041 205.132689 \nL 149.264867 203.86123 \nL 145.060749 202.133605 \nL 140.528866 199.883776 \nL 135.663477 197.039724 \nL 130.465942 193.525075 \nL 124.947165 189.261947 \nL 119.130458 184.175324 \nL 113.054724 178.19935 \nL 106.777845 171.285744 \nL 100.379912 163.414311 \nL 93.965931 154.605203 \nL 87.667301 144.931704 \nL 81.641357 134.531829 \nL 76.068214 123.616044 \nL 71.144194 112.468015 \nL 67.071571 101.435439 \nL 64.044908 90.909289 \nL 62.235148 81.29212 \nL 61.773366 72.958858 \nL 62.736545 66.216728 \nL 65.138056 61.271889 \nL 68.924516 58.209806 \nL 73.979798 56.993183 \nL 80.13559 57.477 \nL 87.186517 59.436228 \nL 94.907366 62.599525 \nL 103.069889 66.682116 \nL 111.45713 71.412795 \nL 119.874133 76.552332 \nL 128.154693 81.90335 \nL 136.16441 87.312697 \nL 143.800764 92.668786 \nL 150.991068 97.895797 \nL 157.68911 102.946769 \nL 163.871143 107.796603 \nL 169.531735 112.435885 \nL 174.679832 116.865742 \nL 179.335198 121.093841 \nL 183.525355 125.13148 \nL 187.283028 128.991519 \nL 190.644079 132.687002 \nL 193.645878 136.230327 \nL 196.326066 139.632796 \nL 198.721631 142.904378 \nL 200.868259 146.053648 \nL 204.548521 152.012978 \nL 207.613855 157.554483 \nL 215.101061 171.879148 \nL 217.55135 175.893478 \nL 218.841143 177.749501 \nL 220.193099 179.499256 \nL 221.621002 181.137234 \nL 223.138394 182.65664 \nL 224.758693 184.049212 \nL 226.495285 185.305008 \nL 228.361588 186.412188 \nL 230.371083 187.356733 \nL 232.537297 188.122187 \nL 234.873745 188.689326 \nL 237.393801 189.035874 \nL 240.110499 189.13619 \nL 243.036235 188.961006 \nL 246.182374 188.477256 \nL 249.558695 187.647986 \nL 253.172717 186.432497 \nL 257.02881 184.78675 \nL 261.127137 182.66418 \nL 265.462366 180.017032 \nL 270.022191 176.798372 \nL 274.785665 172.964923 \nL 279.721407 168.480822 \nL 284.785808 163.322406 \nL 289.921385 157.483868 \nL 295.055505 150.98356 \nL 300.099774 143.870462 \nL 304.95048 136.229896 \nL 309.490359 128.187486 \nL 313.592046 119.910027 \nL 317.123317 111.602036 \nL 319.954058 103.497173 \nL 321.964531 95.844445 \nL 323.054303 88.890145 \nL 323.150661 82.857645 \nL 322.215538 77.927905 \nL 320.24982 74.224108 \nL 317.2943 71.802708 \nL 313.427148 70.652489 \nL 308.75817 70.701403 \nL 303.420726 71.829212 \nL 297.562404 73.883645 \nL 291.33564 76.697006 \nL 284.889236 80.101006 \nL 278.36148 83.938187 \nL 271.875234 88.069596 \nL 265.534952 92.378614 \nL 259.425485 96.771815 \nL 253.61228 101.177685 \nL 248.142613 105.543961 \nL 243.047505 109.834416 \nL 238.343952 114.025561 \nL 234.037306 118.103588 \nL 230.12357 122.061743 \nL 226.591509 125.898167 \nL 223.424551 129.614231 \nL 220.602399 133.213293 \nL 218.102396 136.69981 \nL 215.900625 140.078693 \nL 213.972795 143.354945 \nL 212.29492 146.533389 \nL 210.843825 149.618531 \nL 209.597517 152.614524 \nL 208.535437 155.525119 \nL 207.638606 158.353713 \nL 206.273153 163.776829 \nL 205.382858 168.904894 \nL 204.87524 173.755226 \nL 204.681315 178.342283 \nL 204.752764 182.678178 \nL 205.059184 186.772922 \nL 205.585732 190.634306 \nL 206.331334 194.267593 \nL 207.307524 197.674842 \nL 208.537911 200.85385 \nL 210.058273 203.7966 \nL 210.941854 205.174719 \nL 211.917217 206.486892 \nL 212.992633 207.729269 \nL 214.177348 208.896968 \nL 215.481635 209.983911 \nL 216.916851 210.982547 \nL 218.495498 211.883599 \nL 220.231265 212.67571 \nL 222.139073 213.345054 \nL 224.235088 213.874857 \nL 226.536709 214.244881 \nL 229.062512 214.430786 \nL 231.832125 214.403449 \nL 234.866021 214.128209 \nL 238.185179 213.56406 \nL 241.810613 212.66286 \nL 245.762658 211.368589 \nL 250.060014 209.616805 \nL 254.718455 207.334438 \nL 259.749127 204.440161 \nL 265.15638 200.84565 \nL 270.935043 196.458137 \nL 277.06718 191.184738 \nL 283.518295 184.939026 \nL 290.233171 177.650324 \nL 297.131629 169.275918 \nL 304.104703 159.815881 \nL 311.011914 149.329575 \nL 317.680685 137.951645 \nL 323.90884 125.904329 \nL 329.471302 113.501892 \nL 334.131512 101.142875 \nL 337.657529 89.287138 \nL 339.841595 78.417502 \nL 340.520708 68.990246 \nL 339.595143 61.382538 \nL 337.041358 55.847787 \nL 332.916749 52.488836 \nL 327.354978 51.254702 \nL 320.552911 51.960487 \nL 312.751492 54.32421 \nL 304.214125 58.011109 \nL 295.20581 62.675861 \nL 285.97577 67.996146 \nL 276.744901 73.694401 \nL 267.698386 79.547895 \nL 258.982884 85.389714 \nL 250.707278 91.103509 \nL 242.945859 96.615047 \nL 235.742854 101.882848 \nL 229.117536 106.889317 \nL 223.069275 111.633181 \nL 217.582201 116.123473 \nL 212.629308 120.375014 \nL 208.175879 124.405256 \nL 204.182288 128.232122 \nL 200.60622 131.872711 \nL 197.404362 135.342532 \nL 194.533673 138.655124 \nL 189.620152 144.852621 \nL 185.554483 150.533902 \nL 175.895321 164.782613 \nL 172.848408 168.59859 \nL 171.265804 170.316732 \nL 169.621063 171.899796 \nL 167.898346 173.339603 \nL 166.082622 174.626362 \nL 164.159576 175.748526 \nL 162.115582 176.692631 \nL 159.937689 177.443111 \nL 157.613697 177.982118 \nL 155.132275 178.289408 \nL 152.483164 178.342196 \nL 149.657463 178.115157 \nL 146.648017 177.580475 \nL 143.449905 176.708056 \nL 140.061064 175.46599 \nL 136.483037 173.821228 \nL 132.721834 171.740635 \nL 128.78893 169.192482 \nL 124.702348 166.148417 \nL 120.48779 162.586012 \nL 116.179754 158.491805 \nL 111.822513 153.864905 \nL 107.470844 148.720813 \nL 103.190301 143.095354 \nL 99.056907 137.04812 \nL 95.155982 130.664929 \nL 91.580045 124.058583 \nL 88.425602 117.367357 \nL 85.788937 110.75061 \nL 83.761 104.381466 \nL 82.421823 98.436833 \nL 81.83492 93.085586 \nL 82.042303 88.476407 \nL 83.060729 84.726777 \nL 84.879729 81.914717 \nL 87.461651 80.074578 \nL 90.743818 79.197231 \nL 94.642482 79.23451 \nL 99.058135 80.106843 \nL 103.881494 81.712709 \nL 108.999573 83.938608 \nL 114.30121 86.66813 \nL 119.681693 89.789326 \nL 125.046265 93.200024 \nL 130.312404 96.811008 \nL 135.411026 100.547395 \nL 140.286688 104.348522 \nL 144.897088 108.16691 \nL 149.212035 111.966631 \nL 153.212076 115.721428 \nL 156.88697 119.412853 \nL 160.234118 123.028535 \nL 163.257059 126.560665 \nL 165.964065 130.004756 \nL 168.366892 133.358666 \nL 170.479702 136.621799 \nL 172.318138 139.794559 \nL 173.898566 142.877903 \nL 175.23746 145.873063 \nL 176.350915 148.781314 \nL 177.254272 151.603861 \nL 177.961837 154.341718 \nL 178.486688 156.99565 \nL 178.840529 159.566146 \nL 179.03361 162.053339 \nL 179.074679 164.457 \nL 178.970968 166.776506 \nL 178.728198 169.010759 \nL 178.350602 171.158158 \nL 177.840958 173.216524 \nL 177.200624 175.183043 \nL 176.429592 177.054126 \nL 175.526517 178.825353 \nL 174.488782 180.49129 \nL 173.312537 182.045372 \nL 171.992757 183.479705 \nL 170.523302 184.784889 \nL 168.896988 185.949761 \nL 167.105678 186.961166 \nL 165.140395 187.803669 \nL 162.991459 188.459268 \nL 160.648677 188.907064 \nL 158.101594 189.12298 \nL 155.339804 189.079458 \nL 152.353366 188.745234 \nL 149.133311 188.0852 \nL 145.672328 187.060438 \nL 141.965564 185.628463 \nL 138.011636 183.743836 \nL 133.813835 181.359212 \nL 129.381527 178.426992 \nL 124.731754 174.90176 \nL 119.891004 170.74354 \nL 114.896996 165.922067 \nL 109.800473 160.42204 \nL 104.66667 154.249134 \nL 99.576304 147.436427 \nL 94.625709 140.0506 \nL 89.925747 132.196917 \nL 85.599254 124.021726 \nL 81.776678 115.711295 \nL 78.589982 107.48585 \nL 76.16493 99.588315 \nL 74.612416 92.268233 \nL 74.019705 85.762327 \nL 74.442622 80.274309 \nL 75.899867 75.957215 \nL 78.370365 72.90097 \nL 81.794045 71.127484 \nL 86.076093 70.593758 \nL 91.093958 71.201831 \nL 96.706194 72.813591 \nL 102.761926 75.267409 \nL 109.109866 78.394002 \nL 115.606036 82.029691 \nL 122.119638 86.025937 \nL 128.536995 90.254963 \nL 134.7636 94.612034 \nL 140.724556 99.015091 \nL 146.363814 103.402742 \nL 151.642557 107.731213 \nL 156.537111 111.97108 \nL 161.036596 116.10404 \nL 165.140609 120.120092 \nL 168.856988 124.015143 \nL 172.199815 127.789086 \nL 175.187664 131.444391 \nL 177.842115 134.985018 \nL 180.186524 138.415694 \nL 182.245036 141.741377 \nL 184.04181 144.966983 \nL 185.600431 148.097164 \nL 186.943466 151.136243 \nL 188.092171 154.088145 \nL 189.06628 156.956439 \nL 189.883896 159.744319 \nL 191.113637 165.090122 \nL 191.892735 170.145486 \nL 192.307198 174.926858 \nL 192.420214 179.447951 \nL 192.27498 183.720216 \nL 191.897356 187.752947 \nL 191.298077 191.553117 \nL 190.474361 195.124947 \nL 189.410895 198.469091 \nL 188.080177 201.581432 \nL 186.442257 204.451266 \nL 185.492018 205.789451 \nL 184.44392 207.05859 \nL 183.289024 208.254101 \nL 182.017379 209.370232 \nL 180.617965 210.39985 \nL 179.078637 211.334171 \nL 177.386075 212.162427 \nL 175.525747 212.871499 \nL 173.481876 213.44546 \nL 171.237458 213.865068 \nL 168.774299 214.107173 \nL 166.073125 214.144045 \nL 163.113762 213.942639 \nL 159.875429 213.463822 \nL 156.337199 212.661549 \nL 152.478609 211.482147 \nL 148.280564 209.863684 \nL 143.726522 207.735679 \nL 138.804084 205.019299 \nL 133.507015 201.62836 \nL 127.837798 197.471494 \nL 121.810731 192.455935 \nL 115.455568 186.493448 \nL 108.821571 179.508806 \nL 101.98172 171.451143 \nL 95.036685 162.308069 \nL 88.117866 152.121713 \nL 81.388658 141.004953 \nL 75.042841 129.154967 \nL 69.299131 116.860068 \nL 64.39107 104.495579 \nL 60.552267 92.505243 \nL 57.997701 81.367079 \nL 56.903284 71.546657 \nL 57.386655 63.444836 \nL 59.492535 57.350353 \nL 63.185654 53.407671 \nL 68.352831 51.607145 \nL 74.813845 51.798858 \nL 82.339073 53.725342 \nL 90.67061 57.06441 \nL 99.543442 61.47229 \nL 108.70386 66.619826 \nL 117.923317 72.217326 \nL 127.00716 78.027685 \nL 135.79864 83.869581 \nL 144.179019 89.613784 \nL 152.065018 95.175384 \nL 159.404594 100.504624 \nL 166.171981 105.577862 \nL 172.362608 110.3897 \nL 177.988332 114.94652 \nL 183.0732 119.261634 \nL 187.649845 123.351775 \nL 191.756524 127.234692 \nL 195.434762 130.927649 \nL 198.727518 134.446508 \nL 201.677807 137.805277 \nL 204.327709 141.015967 \nL 208.886048 147.031166 \nL 212.699722 152.550234 \nL 220.58344 164.340906 \nL 223.594637 168.248635 \nL 225.150884 170.016686 \nL 226.763966 171.653037 \nL 228.449955 173.150081 \nL 230.224111 174.498672 \nL 232.100967 175.687958 \nL 234.094397 176.705233 \nL 236.217627 177.535723 \nL 238.48319 178.162454 \nL 240.902841 178.566049 \nL 243.487374 178.724636 \nL 246.246378 178.613748 \nL 249.187883 178.206344 \nL 252.317907 177.472945 \nL 255.6399 176.381984 \nL 259.154029 174.900382 \nL 262.856351 172.994422 \nL 266.737868 170.631092 \nL 270.783444 167.779831 \nL 274.970695 164.414851 \nL 279.2688 160.51804 \nL 283.637445 156.082374 \nL 288.025963 151.115757 \nL 292.372792 145.64501 \nL 296.605554 139.719667 \nL 300.641792 133.414995 \nL 304.390712 126.833585 \nL 307.755939 120.104888 \nL 310.639389 113.382038 \nL 312.946104 106.835638 \nL 314.589787 100.644648 \nL 315.498563 94.984992 \nL 315.620374 90.017112 \nL 314.927391 85.874067 \nL 313.418819 82.651791 \nL 311.121711 80.403023 \nL 308.089623 79.135726 \nL 304.399278 78.815911 \nL 300.145651 79.374285 \nL 295.436083 80.715374 \nL 290.384053 82.72763 \nL 285.103305 85.29315 \nL 279.702731 88.295946 \nL 274.282358 91.628183 \nL 268.930557 95.194253 \nL 263.722431 98.912785 \nL 258.719224 102.717079 \nL 253.968589 106.554337 \nL 249.505469 110.38415 \nL 245.353374 114.176685 \nL 241.525893 117.910718 \nL 238.028286 121.571802 \nL 234.859038 125.150655 \nL 232.011333 128.641803 \nL 229.47438 132.042454 \nL 227.23457 135.35166 \nL 225.276467 138.56965 \nL 223.583641 141.697352 \nL 222.13934 144.736049 \nL 220.927023 147.687157 \nL 219.930785 150.552044 \nL 219.135669 153.331916 \nL 218.527893 156.027767 \nL 218.095008 158.640306 \nL 217.826007 161.169935 \nL 217.711381 163.616702 \nL 217.74314 165.980271 \nL 217.914815 168.259878 \nL 218.221447 170.454297 \nL 218.659546 172.561767 \nL 219.227061 174.579927 \nL 219.923336 176.505741 \nL 220.749064 178.335384 \nL 221.706241 180.064137 \nL 222.798122 181.686226 \nL 224.029169 183.194686 \nL 225.404999 184.581153 \nL 226.932317 185.835667 \nL 228.618851 186.946426 \nL 230.47325 187.899521 \nL 232.504973 188.678643 \nL 234.724135 189.264784 \nL 237.141297 189.635914 \nL 239.767208 189.766662 \nL 242.612464 189.628039 \nL 245.687062 189.187223 \nL 248.999827 188.40744 \nL 252.557701 187.248051 \nL 256.364866 185.6649 \nL 260.42166 183.611017 \nL 264.723283 181.037876 \nL 269.25831 177.897265 \nL 274.007013 174.144009 \nL 278.939517 169.739604 \nL 284.013956 164.656893 \nL 289.1747 158.885688 \nL 294.35098 152.439135 \nL 299.456061 145.36034 \nL 304.387467 137.728491 \nL 309.028463 129.663317 \nL 313.251245 121.326716 \nL 316.921946 112.920113 \nL 319.907424 104.676661 \nL 322.083551 96.848037 \nL 323.344249 89.686581 \nL 323.61028 83.424708 \nL 322.836646 78.254724 \nL 321.017515 74.312023 \nL 318.187784 71.664808 \nL 314.421042 70.311796 \nL 309.824198 70.188058 \nL 304.529499 71.177259 \nL 298.685136 73.127913 \nL 292.445577 75.870449 \nL 285.962747 79.232807 \nL 279.378743 83.052707 \nL 272.8205 87.186011 \nL 266.396546 91.511123 \nL 260.195511 95.930216 \nL 254.286196 100.368102 \nL 248.718715 104.769647 \nL 243.526382 109.0965 \nL 238.727971 113.323699 \nL 234.330128 117.436469 \nL 230.329721 121.42751 \nL 226.716041 125.294688 \nL 223.472739 129.039323 \nL 220.579517 132.664851 \nL 218.013531 136.175873 \nL 215.750548 139.577509 \nL 213.765863 142.874955 \nL 212.035011 146.073234 \nL 210.534294 149.177064 \nL 209.241174 152.190759 \nL 208.134532 155.118252 \nL 207.194838 157.963074 \nL 205.746552 163.417134 \nL 204.773723 168.574908 \nL 204.179732 173.454567 \nL 203.891544 178.07142 \nL 203.856754 182.438562 \nL 204.040677 186.567196 \nL 204.423814 190.466706 \nL 204.999856 194.144501 \nL 205.774303 197.605609 \nL 206.763708 200.852003 \nL 207.995514 203.881553 \nL 209.50847 206.686465 \nL 211.353589 209.250957 \nL 212.42035 210.435119 \nL 213.595586 211.547853 \nL 214.889826 212.583169 \nL 216.3147 213.533638 \nL 217.883002 214.390087 \nL 219.608748 215.141274 \nL 221.507226 215.773473 \nL 223.595025 216.269992 \nL 225.890031 216.610628 \nL 228.411388 216.771018 \nL 231.179389 216.721927 \nL 234.21528 216.42844 \nL 237.540941 215.849116 \nL 241.17843 214.935118 \nL 245.149281 213.629389 \nL 249.473554 211.866012 \nL 254.168542 209.569881 \nL 259.247048 206.656937 \nL 264.715173 203.035318 \nL 270.569538 198.6078 \nL 276.793877 193.276086 \nL 283.355113 186.947445 \nL 290.198934 179.544257 \nL 297.245232 171.016709 \nL 304.383936 161.358452 \nL 311.471891 150.624247 \nL 318.33189 138.947411 \nL 324.754974 126.553642 \nL 330.507119 113.766745 \nL 335.34102 101.001416 \nL 339.013006 88.739595 \nL 341.303729 77.489979 \nL 342.040222 67.734985 \nL 341.115795 59.873963 \nL 338.50411 54.174828 \nL 334.264336 50.744783 \nL 328.536309 49.526954 \nL 321.526493 50.322088 \nL 313.487505 52.828705 \nL 304.694999 56.690975 \nL 295.425524 61.544072 \nL 285.938182 67.049811 \nL 276.461568 72.919188 \nL 267.186245 78.922427 \nL 258.26211 84.889287 \nL 249.79947 90.702822 \nL 241.8726 96.290084 \nL 234.524699 101.611899 \nL 227.773329 106.653446 \nL 221.615755 111.416285 \nL 216.033834 115.912049 \nL 210.998254 120.157878 \nL 206.472074 124.173136 \nL 202.41359 127.977316 \nL 198.778575 131.588701 \nL 195.521997 135.023703 \nL 192.599281 138.296491 \nL 187.584523 144.400858 \nL 183.414147 149.971577 \nL 174.938408 161.766526 \nL 171.767133 165.631005 \nL 170.141353 167.367499 \nL 168.464467 168.965337 \nL 166.719724 170.416607 \nL 164.89143 171.711834 \nL 162.964848 172.839854 \nL 160.926141 173.787672 \nL 158.762373 174.540314 \nL 156.461568 175.080709 \nL 154.012809 175.389586 \nL 151.406432 175.445408 \nL 148.634294 175.224378 \nL 145.690142 174.700594 \nL 142.570066 173.846279 \nL 139.273078 172.632277 \nL 135.801796 171.028784 \nL 132.163242 169.006376 \nL 128.369722 166.537478 \nL 124.439807 163.598216 \nL 120.39929 160.170754 \nL 116.282156 156.246128 \nL 112.131355 151.827379 \nL 107.999351 146.932927 \nL 103.948235 141.599908 \nL 100.049287 135.886974 \nL 96.381775 129.876176 \nL 93.030922 123.673292 \nL 90.084935 117.406137 \nL 87.63121 111.220448 \nL 85.751739 105.273261 \nL 84.518235 99.724148 \nL 83.987222 94.724961 \nL 84.195768 90.409378 \nL 85.158247 86.883515 \nL 86.864661 84.21879 \nL 89.2807 82.448309 \nL 92.34962 81.566848 \nL 95.995641 81.534468 \nL 100.128564 82.282871 \nL 104.648986 83.723472 \nL 109.453644 85.755859 \nL 114.440331 88.275757 \nL 119.512102 91.181626 \nL 124.580481 94.379579 \nL 129.567688 97.78645 \nL 134.407823 101.331344 \nL 139.047262 104.95581 \nL 143.44432 108.6132 \nL 147.568446 112.267366 \nL 151.39907 115.891143 \nL 154.92429 119.464733 \nL 158.139472 122.974186 \nL 161.045901 126.410058 \nL 163.649492 129.766254 \nL 165.959642 133.0391 \nL 167.988203 136.226576 \nL 169.748613 139.327784 \nL 171.25516 142.342502 \nL 172.522383 145.270876 \nL 173.564588 148.113181 \nL 174.395474 150.869658 \nL 175.027846 153.540411 \nL 175.473399 156.125307 \nL 175.742569 158.623906 \nL 175.844441 161.035394 \nL 175.78668 163.358537 \nL 175.575512 165.591612 \nL 175.215717 167.732343 \nL 174.710644 169.77782 \nL 174.06224 171.724417 \nL 173.271085 173.567685 \nL 172.336446 175.302217 \nL 171.256325 176.921537 \nL 170.027527 178.417921 \nL 168.645724 179.782242 \nL 167.105556 181.003726 \nL 165.400718 182.069786 \nL 163.524095 182.965757 \nL 161.467919 183.674652 \nL 159.223968 184.176912 \nL 156.783815 184.450167 \nL 154.13915 184.469026 \nL 151.282168 184.204928 \nL 148.206086 183.626087 \nL 144.905747 182.697588 \nL 141.378372 181.381707 \nL 137.624482 179.638544 \nL 133.648949 177.427045 \nL 129.462235 174.706546 \nL 125.081771 171.438924 \nL 120.53344 167.591515 \nL 115.853065 163.140769 \nL 111.087875 158.076631 \nL 106.297631 152.407569 \nL 101.555371 146.16578 \nL 96.947375 139.412167 \nL 92.572157 132.240205 \nL 88.538213 124.777841 \nL 84.960348 117.186428 \nL 81.954558 109.65586 \nL 79.631664 102.395581 \nL 78.09014 95.621731 \nL 77.408806 89.541581 \nL 77.640258 84.337132 \nL 78.805874 80.150302 \nL 80.893167 77.071973 \nL 83.855943 75.136647 \nL 87.61721 74.323409 \nL 92.074535 74.562562 \nL 97.107067 75.746672 \nL 102.583346 77.743618 \nL 108.369062 80.409874 \nL 114.333878 83.602163 \nL 120.357 87.186413 \nL 126.331121 91.043687 \nL 132.164796 95.073327 \nL 137.783409 99.193675 \nL 143.129 103.341112 \nL 148.159229 107.468043 \nL 152.845826 111.540416 \nL 157.172702 115.535073 \nL 161.133963 119.43731 \nL 164.73197 123.238705 \nL 167.975516 126.935335 \nL 170.8782 130.526388 \nL 173.457008 134.013039 \nL 175.731112 137.397692 \nL 177.720888 140.683378 \nL 179.447111 143.8734 \nL 180.930333 146.971077 \nL 182.190406 149.979566 \nL 183.246129 152.901806 \nL 184.114999 155.740466 \nL 184.813049 158.497909 \nL 185.354746 161.176212 \nL 185.752945 163.777174 \nL 186.018886 166.302306 \nL 186.190998 171.129817 \nL 185.929832 175.665463 \nL 185.270985 179.911243 \nL 184.228738 183.863637 \nL 183.562874 185.726846 \nL 182.79765 187.512081 \nL 181.929496 189.21654 \nL 180.953727 190.83663 \nL 179.864559 192.367834 \nL 178.655112 193.804549 \nL 177.317412 195.139897 \nL 175.842401 196.365501 \nL 174.219947 197.471221 \nL 172.438858 198.444869 \nL 170.486925 199.271857 \nL 168.350983 199.934804 \nL 166.017007 200.413124 \nL 163.47027 200.682551 \nL 160.695563 200.714639 \nL 157.677506 200.476276 \nL 154.40098 199.929211 \nL 150.851711 199.02969 \nL 147.017048 197.728229 \nL 142.886948 195.96967 \nL 138.455259 193.69368 \nL 133.721279 190.83584 \nL 128.691676 187.329621 \nL 123.382726 183.109427 \nL 117.822851 178.115062 \nL 112.055356 172.297794 \nL 106.14116 165.628077 \nL 100.161296 158.104791 \nL 94.218638 149.765463 \nL 88.438446 140.696286 \nL 82.967079 131.040384 \nL 77.968248 121.002013 \nL 73.616449 110.844486 \nL 70.08748 100.879725 \nL 67.546498 91.448756 \nL 66.134674 82.894312 \nL 65.956062 75.528761 \nL 67.066674 69.602586 \nL 69.467575 65.279387 \nL 73.10334 62.622087 \nL 77.866147 61.592985 \nL 83.604968 62.066717 \nL 90.138239 63.852737 \nL 97.268084 66.722131 \nL 104.794158 70.433851 \nL 112.525484 74.75638 \nL 120.289469 79.483021 \nL 127.937703 84.440356 \nL 135.348799 89.491022 \nL 142.428733 94.5321 \nL 149.109392 99.491004 \nL 155.345945 104.320171 \nL 161.113582 108.991487 \nL 166.404053 113.491213 \nL 171.222308 117.815656 \nL 175.583412 121.967723 \nL 179.509842 125.954315 \nL 183.029184 129.784434 \nL 186.172251 133.467889 \nL 188.971574 137.014458 \nL 191.460218 140.433375 \nL 193.670898 143.73306 \nL 195.635335 146.921005 \nL 197.383807 150.003774 \nL 200.345168 155.875629 \nL 202.760469 161.384708 \nL 205.734927 169.022155 \nL 209.205522 178.110966 \nL 210.975844 182.197706 \nL 212.89397 185.973141 \nL 215.04654 189.4214 \nL 216.237746 191.014617 \nL 217.520336 192.514292 \nL 218.905823 193.91427 \nL 220.406176 195.206986 \nL 222.033903 196.383236 \nL 223.802111 197.43189 \nL 225.724547 198.339593 \nL 227.815598 199.090383 \nL 230.090262 199.6653 \nL 232.564061 200.041932 \nL 235.252887 200.19395 \nL 238.172771 200.090621 \nL 241.339525 199.696326 \nL 244.76826 198.970151 \nL 248.472726 197.865607 \nL 252.464438 196.330562 \nL 256.751553 194.307527 \nL 261.337481 191.734467 \nL 266.219126 188.54634 \nL 271.384851 184.677632 \nL 276.812082 180.066108 \nL 282.46472 174.658101 \nL 288.290391 168.415384 \nL 294.217879 161.323633 \nL 300.155062 153.402167 \nL 305.987761 144.714013 \nL 311.580207 135.374988 \nL 316.777579 125.559857 \nL 321.411198 115.503316 \nL 325.306624 105.493516 \nL 328.294388 95.856961 \nL 330.222697 86.934783 \nL 330.970634 79.052825 \nL 330.460111 72.489853 \nL 328.664692 67.44933 \nL 325.613603 64.040412 \nL 321.390284 62.271596 \nL 316.125503 62.05778 \nL 309.986289 63.238484 \nL 303.162422 65.60278 \nL 295.85241 68.915861 \nL 288.250786 72.942764 \nL 280.537803 77.46644 \nL 272.872242 82.299291 \nL 265.387251 87.288412 \nL 258.188886 92.315903 \nL 251.356766 97.295877 \nL 244.946156 102.169728 \nL 238.990943 106.900627 \nL 233.506977 111.468308 \nL 228.495458 115.864428 \nL 223.946133 120.088737 \nL 219.840145 124.146153 \nL 216.152509 128.044543 \nL 212.854166 131.793159 \nL 209.913658 135.401636 \nL 207.298451 138.879303 \nL 204.975949 142.234838 \nL 202.914247 145.476061 \nL 201.082671 148.609887 \nL 197.995352 154.578622 \nL 195.503498 160.179825 \nL 193.426969 165.441675 \nL 187.442551 181.413665 \nL 185.657984 185.30119 \nL 183.676564 188.877785 \nL 182.585999 190.543459 \nL 181.414755 192.122581 \nL 180.151902 193.610339 \nL 178.786104 195.00073 \nL 177.305522 196.286379 \nL 175.69774 197.458285 \nL 173.949696 198.505557 \nL 172.047649 199.415082 \nL 169.977161 200.171173 \nL 167.723128 200.755147 \nL 165.269856 201.144892 \nL 162.601201 201.314354 \nL 159.700795 201.233051 \nL 156.552371 200.865562 \nL 153.140246 200.171072 \nL 149.449958 199.103042 \nL 145.46911 197.609073 \nL 141.188469 195.631111 \nL 136.603371 193.106137 \nL 131.715435 189.967613 \nL 126.534632 186.147851 \nL 121.081689 181.581687 \nL 115.390771 176.211618 \nL 109.512292 169.994678 \nL 103.515647 162.910984 \nL 97.491516 154.973673 \nL 91.553218 146.239428 \nL 85.836604 136.818287 \nL 80.497768 126.88068 \nL 75.708143 116.659409 \nL 71.646525 106.444204 \nL 68.488308 96.567224 \nL 66.39249 87.379465 \nL 65.487951 79.220138 \nL 65.860737 72.383395 \nL 67.544448 67.088218 \nL 70.515415 63.457237 \nL 74.693605 61.508688 \nL 79.949218 61.162445 \nL 86.113828 62.258219 \nL 92.994285 64.5812 \nL 100.387258 67.889802 \nL 108.092611 71.940856 \nL 115.924273 76.50891 \nL 123.717931 81.398693 \nL 131.33552 86.45087 \nL 138.666872 91.542603 \nL 145.629143 96.584523 \nL 152.164687 101.515756 \nL 158.238014 106.298238 \nL 163.832318 110.911207 \nL 168.945981 115.346317 \nL 173.589263 119.603676 \nL 177.781335 123.688697 \nL 181.547729 127.609822 \nL 184.918195 131.376895 \nL 187.924979 135.000097 \nL 190.601458 138.489237 \nL 192.981088 141.853403 \nL 195.09663 145.100749 \nL 196.979598 148.238451 \nL 200.165576 154.208889 \nL 202.755622 159.804303 \nL 205.921665 167.553165 \nL 209.562041 176.762548 \nL 211.395834 180.898253 \nL 213.369805 184.714709 \nL 215.574209 188.195271 \nL 216.790701 189.801017 \nL 218.098526 191.310567 \nL 219.509406 192.717545 \nL 221.035477 194.014136 \nL 222.689366 195.190854 \nL 224.484249 196.23626 \nL 226.433884 197.136647 \nL 228.552609 197.875683 \nL 230.855304 198.434004 \nL 233.35729 198.788791 \nL 236.074159 198.91331 \nL 239.021528 198.776443 \nL 242.214662 198.342262 \nL 245.667967 197.569656 \nL 249.39429 196.412118 \nL 253.404035 194.817758 \nL 257.704015 192.729716 \nL 262.296014 190.087098 \nL 267.175052 186.826677 \nL 272.327328 182.885588 \nL 277.727878 178.205263 \nL 283.338031 172.736831 \nL 289.102825 166.448061 \nL 294.948588 159.331758 \nL 300.781157 151.415162 \nL 306.485066 142.769502 \nL 311.924359 133.5182 \nL 316.945559 123.841926 \nL 321.383175 113.978217 \nL 325.067981 104.213847 \nL 327.83773 94.868812 \nL 329.549505 86.272515 \nL 330.092304 78.734599 \nL 329.398086 72.514903 \nL 327.449547 67.797639 \nL 324.283219 64.674951 \nL 319.987221 63.142685 \nL 314.694084 63.108755 \nL 308.569674 64.411533 \nL 301.800112 66.843994 \nL 294.578398 70.178815 \nL 287.09245 74.190523 \nL 279.515537 78.672021 \nL 271.99968 83.445012 \nL 264.671911 88.364475 \nL 257.633096 93.31873 \nL 250.958671 98.226462 \nL 244.700738 103.032052 \nL 238.890949 107.700479 \nL 233.543735 112.212357 \nL 228.659553 116.559544 \nL 224.22794 120.741589 \nL 220.23025 124.762924 \nL 216.642004 128.630819 \nL 213.434864 132.353906 \nL 210.578237 135.941208 \nL 208.040539 139.401508 \nL 205.790166 142.743007 \nL 203.796219 145.97312 \nL 202.029018 149.09845 \nL 199.06417 155.057157 \nL 196.692514 160.65682 \nL 194.740756 165.925444 \nL 191.539437 175.546106 \nL 189.319801 182.005146 \nL 187.758166 185.959554 \nL 186.039544 189.628719 \nL 184.088074 193.000545 \nL 183.00081 194.568386 \nL 181.82568 196.052374 \nL 180.551982 197.447372 \nL 179.168453 198.747011 \nL 177.663177 199.943459 \nL 176.023513 201.027163 \nL 174.236043 201.986549 \nL 172.286536 202.807662 \nL 170.159944 203.473781 \nL 167.840436 203.964951 \nL 165.311485 204.257491 \nL 162.556028 204.323446 \nL 159.556713 204.130021 \nL 156.296268 203.639018 \nL 152.758021 202.806332 \nL 148.926603 201.581575 \nL 144.788898 199.907917 \nL 140.335258 197.722325 \nL 135.561067 194.95639 \nL 130.468667 191.537951 \nL 125.069659 187.393873 \nL 119.387582 182.454259 \nL 113.460925 176.658396 \nL 107.346211 169.962681 \nL 101.121001 162.35038 \nL 94.886298 153.842945 \nL 88.767843 144.511718 \nL 82.915589 134.488494 \nL 77.500674 123.97241 \nL 72.709267 113.230541 \nL 68.733035 102.589485 \nL 65.756537 92.416448 \nL 63.942539 83.090407 \nL 63.416911 74.966406 \nL 64.255415 68.338733 \nL 66.474556 63.409816 \nL 70.02827 60.271129 \nL 74.811161 58.899842 \nL 80.667758 59.171164 \nL 87.406175 60.882627 \nL 94.814001 63.784572 \nL 102.673995 67.610558 \nL 110.777797 72.10306 \nL 118.936391 77.031652 \nL 126.986962 82.2033 \nL 134.796287 87.465791 \nL 142.261273 92.705969 \nL 149.307385 97.845066 \nL 155.885715 102.832407 \nL 161.969352 107.639098 \nL 167.54952 112.252123 \nL 172.631838 116.669418 \nL 177.232893 120.895956 \nL 181.377276 124.940848 \nL 185.095054 128.815212 \nL 188.419723 132.530769 \nL 191.386572 136.098962 \nL 194.031417 139.530404 \nL 196.389656 142.834606 \nL 198.495592 146.0199 \nL 202.079637 152.06126 \nL 205.022349 157.698995 \nL 208.677066 165.461003 \nL 211.918113 172.432441 \nL 214.076666 176.644273 \nL 216.369033 180.495069 \nL 217.59859 182.278037 \nL 218.900784 183.96047 \nL 220.288256 185.536817 \nL 221.773678 187.000243 \nL 223.369857 188.342423 \nL 225.089816 189.55332 \nL 226.946853 190.620929 \nL 228.954562 191.530976 \nL 231.126824 192.266605 \nL 233.477734 192.808024 \nL 236.021481 193.132149 \nL 238.772152 193.212227 \nL 241.743432 193.017495 \nL 244.94819 192.512905 \nL 248.397924 191.658939 \nL 252.102048 190.411644 \nL 256.066965 188.72292 \nL 260.294924 186.541247 \nL 264.782635 183.812963 \nL 269.519616 180.484295 \nL 274.486341 176.504306 \nL 279.652184 171.828961 \nL 284.973303 166.426341 \nL 290.39061 160.283087 \nL 295.828138 153.411707 \nL 301.192075 145.858232 \nL 306.370901 137.709373 \nL 311.237079 129.097767 \nL 315.650625 120.203806 \nL 319.464871 111.252473 \nL 322.534304 102.50402 \nL 324.724056 94.238196 \nL 325.920256 86.733176 \nL 326.039976 80.241508 \nL 325.039405 74.966942 \nL 322.918949 71.046019 \nL 319.724403 68.537603 \nL 315.543887 67.422232 \nL 310.501009 67.610807 \nL 304.745334 68.960278 \nL 298.441441 71.293209 \nL 291.758102 74.417409 \nL 284.858659 78.143099 \nL 277.89341 82.295712 \nL 270.994333 86.723914 \nL 264.272108 91.303278 \nL 257.815153 95.936398 \nL 251.690214 100.550705 \nL 245.944052 105.095011 \nL 240.605798 109.535451 \nL 235.689611 113.851607 \nL 231.197392 118.032983 \nL 227.121361 122.076076 \nL 223.446392 125.982044 \nL 220.152049 129.754963 \nL 217.214323 133.400508 \nL 214.607039 136.925089 \nL 212.303005 140.335261 \nL 210.274897 143.637366 \nL 208.495933 146.837339 \nL 206.940363 149.940585 \nL 205.583817 152.951983 \nL 204.403514 155.875897 \nL 202.489148 161.476498 \nL 201.04981 166.768976 \nL 199.964995 171.775072 \nL 199.138316 176.513042 \nL 198.220713 183.151475 \nL 195.603635 204.872859 \nL 194.732276 209.261123 \nL 194.016793 211.980206 \nL 193.15967 214.538058 \nL 192.125945 216.935011 \nL 190.873596 219.167565 \nL 189.351594 221.226686 \nL 187.497649 223.095335 \nL 186.423019 223.949822 \nL 185.235606 224.744689 \nL 183.923244 225.473577 \nL 182.472517 226.128551 \nL 180.868661 226.699761 \nL 179.095469 227.175036 \nL 177.1352 227.539384 \nL 174.968519 227.774416 \nL 172.574456 227.857642 \nL 169.930426 227.761673 \nL 167.012303 227.453271 \nL 163.794612 226.892311 \nL 160.250858 226.030616 \nL 156.354037 224.810749 \nL 152.077427 223.16482 \nL 147.395727 221.013474 \nL 142.286603 218.265235 \nL 136.732844 214.816594 \nL 130.725153 210.553227 \nL 124.265742 205.353035 \nL 117.372749 199.091693 \nL 110.08553 191.651619 \nL 102.470516 182.93509 \nL 94.627393 172.882022 \nL 86.694687 161.491998 \nL 78.853728 148.849011 \nL 71.329427 135.14526 \nL 64.386173 120.69855 \nL 58.317199 105.955986 \nL 53.426618 91.476945 \nL 50.004793 77.891124 \nL 48.299201 65.833513 \nL 48.485541 55.865872 \nL 50.64426 48.401326 \nL 54.747786 43.650247 \nL 60.661445 41.601268 \nL 68.158121 42.04086 \nL 76.94342 44.603892 \nL 86.686154 48.839923 \nL 97.048565 54.278721 \nL 107.711838 60.482648 \nL 118.394372 67.080066 \nL 128.862309 73.779962 \nL 148.474452 86.717121 \nL 165.655788 98.384686 \nL 180.121862 108.574104 \nL 186.360382 113.14653 \nL 191.980425 117.405812 \nL 197.02694 121.380826 \nL 201.549841 125.099263 \nL 205.601389 128.586221 \nL 212.50005 134.949519 \nL 218.126579 140.604142 \nL 230.762943 153.947719 \nL 234.44539 157.222689 \nL 236.301963 158.624595 \nL 238.194786 159.8598 \nL 240.140827 160.919301 \nL 242.155132 161.792667 \nL 244.250884 162.468072 \nL 246.439404 162.932331 \nL 248.730094 163.170977 \nL 251.130333 163.168384 \nL 253.645297 162.90797 \nL 256.277728 162.372512 \nL 259.02763 161.544558 \nL 261.891916 160.407017 \nL 264.863985 158.943893 \nL 267.933279 157.141233 \nL 271.084819 154.988284 \nL 274.298732 152.478825 \nL 277.549884 149.612713 \nL 280.807551 146.397498 \nL 284.035333 142.850097 \nL 287.191224 138.998324 \nL 290.228038 134.882157 \nL 293.094203 130.554471 \nL 295.734935 126.081068 \nL 298.093872 121.539805 \nL 300.115115 117.018626 \nL 301.745571 112.612518 \nL 302.937575 108.419449 \nL 303.651421 104.535603 \nL 303.85782 101.050253 \nL 303.539852 98.040797 \nL 302.694336 95.568511 \nL 301.332408 93.675497 \nL 299.479243 92.383112 \nL 297.172943 91.692024 \nL 294.462671 91.583824 \nL 291.40627 92.023837 \nL 288.06748 92.964794 \nL 284.513148 94.350855 \nL 280.810471 96.121604 \nL 277.024622 98.215497 \nL 273.216737 100.572809 \nL 269.44243 103.137774 \nL 265.750771 105.859957 \nL 262.183757 108.695 \nL 258.776176 111.604821 \nL 255.555792 114.557364 \nL 252.543787 117.526144 \nL 249.755382 120.489596 \nL 247.200548 123.430341 \nL 244.884767 126.334487 \nL 242.809802 129.190963 \nL 240.974431 131.990909 \nL 239.375125 134.727168 \nL 238.006677 137.393826 \nL 236.862731 139.985841 \nL 235.936263 142.498754 \nL 235.219963 144.928422 \nL 234.706573 147.270807 \nL 234.389138 149.521814 \nL 234.261218 151.677136 \nL 234.317035 153.732114 \nL 234.551587 155.68162 \nL 234.960708 157.519951 \nL 235.541104 159.240686 \nL 236.290355 160.83661 \nL 237.206879 162.299572 \nL 238.289884 163.620386 \nL 239.539266 164.788717 \nL 240.955502 165.792979 \nL 242.5395 166.620226 \nL 244.292418 167.256066 \nL 246.215435 167.684654 \nL 248.309496 167.888633 \nL 250.574978 167.849221 \nL 253.011337 167.546333 \nL 255.616665 166.958832 \nL 258.387199 166.064933 \nL 261.316759 164.842741 \nL 264.396139 163.271053 \nL 267.612432 161.330379 \nL 270.948342 159.004231 \nL 274.381482 156.280718 \nL 277.883722 153.154383 \nL 281.420679 149.628262 \nL 284.951324 145.716065 \nL 288.427893 141.444306 \nL 291.796178 136.854149 \nL 294.99623 132.002707 \nL 297.963651 126.963505 \nL 300.631413 121.825747 \nL 302.932247 116.692219 \nL 304.801574 111.675675 \nL 306.180698 106.893767 \nL 307.020146 102.462933 \nL 307.282777 98.49166 \nL 306.946425 95.07394 \nL 306.005722 92.283562 \nL 304.472893 90.170034 \nL 302.377457 88.756627 \nL 299.764756 88.040508 \nL 296.693567 87.995154 \nL 293.232974 88.574253 \nL 289.458821 89.716721 \nL 285.450126 91.352058 \nL 281.285683 93.405515 \nL 277.041118 95.802516 \nL 272.786499 98.47216 \nL 268.584655 101.349658 \nL 264.490102 104.377773 \nL 260.548567 107.507398 \nL 256.796995 110.697487 \nL 253.263946 113.91452 \nL 249.970277 117.131677 \nL 246.929969 120.327889 \nL 244.151093 123.486881 \nL 241.636747 126.596212 \nL 239.386016 129.646486 \nL 237.394846 132.630615 \nL 235.656834 135.5432 \nL 234.163957 138.380081 \nL 232.907152 141.137907 \nL 231.876866 143.813836 \nL 231.063458 146.405287 \nL 230.457559 148.909722 \nL 230.050343 151.324521 \nL 229.833736 153.646822 \nL 229.800572 155.87339 \nL 229.944703 158.000553 \nL 230.261063 160.024051 \nL 230.745711 161.938948 \nL 231.395828 163.739541 \nL 232.2097 165.419208 \nL 233.186678 166.970324 \nL 234.327106 168.384085 \nL 235.632236 169.650407 \nL 237.104119 170.757749 \nL 238.745451 171.693013 \nL 240.559409 172.441359 \nL 242.54944 172.986117 \nL 244.719003 173.308668 \nL 247.071258 173.388421 \nL 249.608689 173.202813 \nL 252.332675 172.727454 \nL 255.242956 171.936395 \nL 258.337027 170.802539 \nL 261.609442 169.298366 \nL 265.051021 167.396874 \nL 268.648005 165.072899 \nL 272.381128 162.304806 \nL 276.224714 159.076597 \nL 280.145796 155.380407 \nL 284.103376 151.219297 \nL 288.04795 146.610252 \nL 291.921381 141.587095 \nL 295.657253 136.203028 \nL 299.181944 130.532263 \nL 302.41638 124.670454 \nL 305.278616 118.733314 \nL 307.687237 112.853163 \nL 309.565325 107.173336 \nL 310.844861 101.840613 \nL 311.471102 96.996329 \nL 311.406532 92.767092 \nL 310.633907 89.256175 \nL 309.15805 86.536814 \nL 307.006114 84.648258 \nL 304.226229 83.595025 \nL 300.884747 83.349289 \nL 297.062317 83.855898 \nL 292.849338 85.039166 \nL 288.341125 86.810317 \nL 283.633362 89.0747 \nL 278.818081 91.738105 \nL 273.980479 94.711565 \nL 269.196612 97.914762 \nL 264.531998 101.277809 \nL 260.040993 104.741965 \nL 255.766868 108.259303 \nL 251.742375 111.791816 \nL 247.990669 115.310187 \nL 244.526449 118.792361 \nL 241.357181 122.222205 \nL 238.484366 125.588228 \nL 235.90473 128.882497 \nL 233.611335 132.099702 \nL 231.59456 135.236399 \nL 229.842972 138.290444 \nL 228.344053 141.260516 \nL 227.08481 144.145812 \nL 226.052275 146.945749 \nL 225.233901 149.65978 \nL 224.617868 152.287285 \nL 224.193317 154.82741 \nL 223.950515 157.279018 \nL 223.880979 159.640588 \nL 223.977541 161.910138 \nL 224.234397 164.085171 \nL 224.647115 166.162559 \nL 225.212628 168.138483 \nL 225.929209 170.008323 \nL 226.796436 171.766537 \nL 227.815131 173.406534 \nL 228.987303 174.920524 \nL 230.316067 176.299351 \nL 231.805553 177.532317 \nL 233.46079 178.606983 \nL 235.287571 179.508968 \nL 237.292281 180.221729 \nL 239.481688 180.726357 \nL 241.862676 181.001382 \nL 244.44193 181.022624 \nL 247.225524 180.7631 \nL 250.218437 180.193062 \nL 253.423947 179.280159 \nL 256.842909 177.98983 \nL 260.472894 176.285993 \nL 264.307203 174.132077 \nL 268.333754 171.492584 \nL 272.533816 168.335133 \nL 276.880743 164.633192 \nL 281.338662 160.369385 \nL 285.861296 155.539434 \nL 290.391073 150.156515 \nL 294.858664 144.255667 \nL 299.183189 137.897833 \nL 303.273349 131.172868 \nL 307.02963 124.200655 \nL 310.347735 117.129687 \nL 313.123179 110.132396 \nL 315.256935 103.397039 \nL 316.661657 97.116508 \nL 317.267985 91.474974 \nL 317.030115 86.634067 \nL 315.930005 82.720377 \nL 313.979571 79.816231 \nL 311.22055 77.955156 \nL 307.722003 77.122398 \nL 303.57574 77.260394 \nL 298.890306 78.277707 \nL 293.784257 80.060053 \nL 288.379429 82.481492 \nL 282.794858 85.414573 \nL 277.141804 88.738275 \nL 271.520075 92.343594 \nL 266.015732 96.136703 \nL 260.69999 100.04002 \nL 255.629163 103.991764 \nL 250.845394 107.944502 \nL 246.377925 111.863168 \nL 242.244674 115.722872 \nL 238.453935 119.506786 \nL 235.006138 123.204239 \nL 231.895455 126.809118 \nL 229.111313 130.318505 \nL 226.639713 133.7317 \nL 224.464352 137.049402 \nL 222.567578 140.273162 \nL 220.931163 143.404959 \nL 219.53692 146.446929 \nL 218.367188 149.401194 \nL 217.405196 152.269736 \nL 216.635324 155.054296 \nL 216.043298 157.756377 \nL 215.616302 160.377174 \nL 215.343053 162.917586 \nL 215.213827 165.378179 \nL 215.220463 167.759192 \nL 215.356345 170.060471 \nL 215.616367 172.281461 \nL 215.996892 174.421177 \nL 216.49571 176.478117 \nL 217.111988 178.450224 \nL 217.846229 180.33477 \nL 218.700229 182.128287 \nL 219.677037 183.826431 \nL 220.780913 185.423843 \nL 222.017305 186.913994 \nL 223.392797 188.288979 \nL 224.915074 189.539307 \nL 226.592864 190.653653 \nL 228.435879 191.61857 \nL 230.454716 192.418168 \nL 232.660741 193.033785 \nL 235.065913 193.443605 \nL 237.682559 193.6223 \nL 240.523077 193.540643 \nL 243.599513 193.165207 \nL 246.923039 192.458116 \nL 250.503275 191.376963 \nL 254.347414 189.874971 \nL 258.459159 187.901501 \nL 262.837394 185.403065 \nL 267.474637 182.325018 \nL 272.35522 178.614102 \nL 277.453281 174.222011 \nL 282.730621 169.110174 \nL 288.134563 163.255753 \nL 293.596104 156.65866 \nL 299.028515 149.349314 \nL 304.32698 141.396254 \nL 309.369517 132.9125 \nL 314.019729 124.059157 \nL 318.131641 115.044616 \nL 321.556719 106.117893 \nL 324.152892 97.555449 \nL 325.794753 89.641877 \nL 326.383983 82.646432 \nL 325.85859 76.798584 \nL 324.199558 72.266814 \nL 321.433778 69.14424 \nL 317.632758 67.443723 \nL 312.907214 67.102801 \nL 307.398373 67.997141 \nL 301.267342 69.959124 \nL 294.683907 72.798205 \nL 287.816156 76.319647 \nL 280.821884 80.339432 \nL 273.842245 84.694416 \nL 266.997839 89.247716 \nL 260.386923 93.890155 \nL 254.085467 98.538833 \nL 248.148446 103.134032 \nL 242.612021 107.635223 \nL 237.496134 112.017018 \nL 232.807259 116.265411 \nL 228.541089 120.374545 \nL 224.684996 124.344143 \nL 221.220221 128.177477 \nL 218.123738 131.879887 \nL 215.369818 135.457745 \nL 212.93128 138.917758 \nL 210.780484 142.26651 \nL 208.890093 145.51022 \nL 207.233637 148.6546 \nL 205.785911 151.704817 \nL 204.52324 154.665494 \nL 202.466863 160.334326 \nL 200.909729 165.689143 \nL 199.724445 170.752659 \nL 198.808401 175.543772 \nL 197.765607 182.254685 \nL 195.103679 201.014537 \nL 194.101168 205.687882 \nL 193.288433 208.579991 \nL 192.321388 211.296419 \nL 191.160908 213.836162 \nL 189.76053 216.193521 \nL 188.064323 218.356097 \nL 187.08463 219.357919 \nL 186.00448 220.301771 \nL 184.8131 221.182633 \nL 183.498622 221.994216 \nL 182.047992 222.728675 \nL 180.446871 223.376289 \nL 178.679549 223.925073 \nL 176.728871 224.360302 \nL 174.576175 224.663956 \nL 172.201266 224.81406 \nL 169.582446 224.783927 \nL 166.696594 224.541269 \nL 163.519369 224.047229 \nL 160.025519 223.255294 \nL 156.18942 222.1102 \nL 151.985815 220.546846 \nL 147.390915 218.489385 \nL 142.383897 215.850695 \nL 136.948939 212.532524 \nL 131.077859 208.426729 \nL 124.773499 203.418184 \nL 118.053864 197.390033 \nL 110.957019 190.23204 \nL 103.546557 181.852755 \nL 95.9173 172.195852 \nL 88.200437 161.260347 \nL 80.567211 149.12327 \nL 73.229713 135.961541 \nL 66.437204 122.068239 \nL 60.466597 107.85676 \nL 55.606178 93.846504 \nL 52.133173 80.626216 \nL 50.287036 68.795931 \nL 50.242428 58.895785 \nL 52.086758 51.335689 \nL 55.806981 46.342645 \nL 61.288743 43.938448 \nL 68.328266 43.952513 \nL 76.654475 46.064357 \nL 85.956747 49.862747 \nL 95.913331 54.906773 \nL 106.216085 60.776743 \nL 116.588875 67.108542 \nL 126.798874 73.610658 \nL 146.038927 86.329811 \nL 163.003754 97.956308 \nL 177.359438 108.215183 \nL 183.56845 112.848331 \nL 189.169875 117.180036 \nL 194.204876 121.236314 \nL 198.720248 125.042828 \nL 202.765737 128.623327 \nL 206.392017 131.998794 \nL 212.58579 138.203017 \nL 217.679276 143.762129 \nL 227.684525 155.167567 \nL 231.261966 158.750448 \nL 233.060601 160.319179 \nL 234.892844 161.73073 \nL 236.776593 162.976729 \nL 238.728028 164.047319 \nL 240.761671 164.931105 \nL 242.890441 165.615141 \nL 245.125611 166.084931 \nL 247.476742 166.324447 \nL 249.951544 166.316237 \nL 252.555659 166.041595 \nL 255.292388 165.480839 \nL 258.162315 164.613721 \nL 261.162899 163.420014 \nL 264.287974 161.880304 \nL 267.527201 159.977004 \nL 270.865479 157.695627 \nL 274.282374 155.026318 \nL 277.751605 151.965633 \nL 281.240587 148.518461 \nL 284.710184 144.700091 \nL 288.114724 140.53812 \nL 291.402341 136.074161 \nL 294.515764 131.364915 \nL 297.393601 126.482472 \nL 299.972147 121.513492 \nL 302.187742 116.557056 \nL 303.979493 111.721172 \nL 305.292363 107.117983 \nL 306.080264 102.857955 \nL 306.308983 99.043662 \nL 305.958584 95.763707 \nL 305.025071 93.0875 \nL 303.521094 91.06158 \nL 301.475595 89.707765 \nL 298.932425 89.023452 \nL 295.948086 88.983743 \nL 292.588789 89.545141 \nL 288.92715 90.650177 \nL 285.0388 92.232371 \nL 280.999219 94.221012 \nL 276.880946 96.545293 \nL 272.751359 99.137643 \nL 268.671025 101.936039 \nL 264.692678 104.885367 \nL 260.860748 107.938091 \nL 257.211326 111.054206 \nL 253.772521 114.200778 \nL 250.565075 117.351253 \nL 247.603141 120.484553 \nL 244.895167 123.584191 \nL 242.444797 126.637423 \nL 240.251762 129.634449 \nL 238.312725 132.567741 \nL 236.622038 135.43146 \nL 235.172427 138.220967 \nL 233.955577 140.932473 \nL 232.96264 143.562685 \nL 232.18464 146.10859 \nL 231.612822 148.56724 \nL 231.23892 150.935584 \nL 231.05536 153.210349 \nL 231.055417 155.38788 \nL 231.233322 157.464062 \nL 231.584325 159.434188 \nL 232.104737 161.29287 \nL 232.791926 163.033909 \nL 233.644299 164.650186 \nL 234.661249 166.133538 \nL 235.84308 167.474627 \nL 237.19092 168.662813 \nL 238.706582 169.686011 \nL 240.392428 170.530557 \nL 242.251161 171.181123 \nL 244.285601 171.620581 \nL 246.498414 171.829985 \nL 248.891767 171.788554 \nL 251.466937 171.473763 \nL 254.223851 170.861566 \nL 257.16052 169.926752 \nL 260.272437 168.643475 \nL 263.551859 166.986093 \nL 266.98702 164.930263 \nL 270.561322 162.45438 \nL 274.252448 159.541354 \nL 278.031562 156.180814 \nL 281.862557 152.371573 \nL 285.701507 148.124328 \nL 289.49641 143.464408 \nL 293.187333 138.434247 \nL 296.707135 133.095314 \nL 299.982779 127.528998 \nL 302.937428 121.836119 \nL 305.493263 116.134659 \nL 307.574903 110.555511 \nL 309.113369 105.236375 \nL 310.050151 100.314098 \nL 310.341147 95.916208 \nL 309.959918 92.152609 \nL 308.900007 89.108381 \nL 307.175909 86.838754 \nL 304.822666 85.366731 \nL 301.893965 84.683681 \nL 298.459093 84.752669 \nL 294.598993 85.513798 \nL 290.401916 86.890692 \nL 285.958973 88.797427 \nL 281.360087 91.144787 \nL 276.690572 93.845585 \nL 272.028434 96.818662 \nL 267.442564 99.99147 \nL 262.991685 103.301336 \nL 258.724019 106.695844 \nL 254.677515 110.132338 \nL 250.880489 113.577013 \nL 247.352557 117.003738 \nL 244.105728 120.392773 \nL 241.14558 123.729555 \nL 238.472392 127.003567 \nL 236.082269 130.207387 \nL 233.968124 133.335864 \nL 232.120587 136.385488 \nL 230.528778 139.353858 \nL 229.180963 142.239269 \nL 228.065105 145.040449 \nL 227.169298 147.756289 \nL 226.482136 150.385678 \nL 225.99297 152.927354 \nL 225.69212 155.379823 \nL 225.571023 157.74123 \nL 225.622334 160.009287 \nL 225.839985 162.181201 \nL 226.219214 164.253566 \nL 226.756576 166.222266 \nL 227.449918 168.082403 \nL 228.298355 169.82814 \nL 229.30221 171.452607 \nL 230.462956 172.947738 \nL 231.783129 174.304108 \nL 233.266231 175.51078 \nL 234.916612 176.555105 \nL 236.73931 177.422538 \nL 238.739879 178.096461 \nL 240.924157 178.557983 \nL 243.297996 178.785807 \nL 245.866915 178.756126 \nL 248.635688 178.442569 \nL 251.607843 177.816326 \nL 254.785038 176.846377 \nL 258.166358 175.499987 \nL 261.747468 173.743466 \nL 265.519644 171.543316 \nL 269.468711 168.867816 \nL 273.573871 165.689143 \nL 277.806544 161.986035 \nL 282.129214 157.747019 \nL 286.494435 152.974095 \nL 290.844168 147.686698 \nL 295.109589 141.925607 \nL 299.211536 135.75627 \nL 303.061874 129.271032 \nL 306.565847 122.589431 \nL 309.62551 115.856084 \nL 312.144253 109.235625 \nL 314.032053 102.904611 \nL 315.211212 97.040917 \nL 315.621944 91.811552 \nL 315.22718 87.360405 \nL 314.016004 83.797569 \nL 312.005214 81.191881 \nL 309.238767 79.567567 \nL 305.785161 78.905548 \nL 301.733045 79.148796 \nL 297.185608 80.210641 \nL 292.254463 81.984643 \nL 287.053584 84.354585 \nL 281.693877 87.203311 \nL 276.278775 90.419712 \nL 270.900976 93.903589 \nL 265.640417 97.568385 \nL 260.563331 101.342176 \nL 255.722231 105.167252 \nL 251.156578 108.998884 \nL 246.893914 112.80357 \nL 242.951322 116.557104 \nL 239.336983 120.242711 \nL 236.051753 123.849341 \nL 233.090665 127.37021 \nL 230.444314 130.801604 \nL 228.10007 134.141936 \nL 226.043134 137.391023 \nL 224.257419 140.549545 \nL 222.726286 143.61866 \nL 221.433119 146.599717 \nL 220.361795 149.494084 \nL 219.497027 152.303015 \nL 218.824627 155.027562 \nL 218.331686 157.66851 \nL 218.006702 160.226347 \nL 217.839647 162.701225 \nL 217.822009 165.092926 \nL 217.946799 167.400816 \nL 218.208538 169.623807 \nL 218.603232 171.760289 \nL 219.128342 173.808091 \nL 219.782733 175.764391 \nL 220.566639 177.625599 \nL 221.481611 179.387268 \nL 222.530478 181.043952 \nL 223.717291 182.589058 \nL 225.047272 184.01466 \nL 226.526753 185.311299 \nL 228.16311 186.467752 \nL 229.964673 187.470775 \nL 231.940616 188.304824 \nL 234.100815 188.951754 \nL 236.45566 189.390494 \nL 239.01581 189.596746 \nL 241.79188 189.54268 \nL 244.794021 189.196705 \nL 248.031394 188.523328 \nL 251.511505 187.483161 \nL 255.239377 186.033183 \nL 259.216532 184.127343 \nL 263.439773 181.71763 \nL 267.89975 178.755734 \nL 272.579336 175.19552 \nL 277.45185 170.996347 \nL 282.479199 166.127424 \nL 287.61009 160.573125 \nL 292.778504 154.339173 \nL 297.902693 147.459161 \nL 302.88506 140.000921 \nL 307.613248 132.071533 \nL 311.962769 123.819909 \nL 315.801467 115.435533 \nL 318.995736 107.142287 \nL 321.418413 99.186882 \nL 322.957603 91.822326 \nL 323.525602 85.288041 \nL 323.066821 79.789344 \nL 321.563471 75.479426 \nL 319.038197 72.446929 \nL 315.553136 70.711258 \nL 311.205485 70.225987 \nL 306.12026 70.889384 \nL 300.441266 72.559588 \nL 294.321436 75.071659 \nL 287.91371 78.25371 \nL 281.36326 81.940207 \nL 274.801592 85.981501 \nL 268.342677 90.249395 \nL 262.080977 94.63917 \nL 256.091055 99.06919 \nL 250.428435 103.478658 \nL 245.131288 107.824476 \nL 240.222577 112.077921 \nL 235.712452 116.221367 \nL 231.60061 120.2454 \nL 227.878543 124.146421 \nL 224.531552 127.924776 \nL 221.540507 131.583276 \nL 218.883336 135.12618 \nL 216.536249 138.558417 \nL 214.474719 141.885151 \nL 212.67426 145.111418 \nL 211.111003 148.242001 \nL 209.762127 151.2813 \nL 208.606155 154.233336 \nL 207.623152 157.101735 \nL 206.104605 162.600336 \nL 205.080474 167.799589 \nL 204.450975 172.718 \nL 204.140353 177.37108 \nL 204.094004 181.772026 \nL 204.275576 185.93205 \nL 204.664397 189.860456 \nL 205.253446 193.564488 \nL 206.047921 197.048886 \nL 207.064439 200.315177 \nL 208.33085 203.360582 \nL 209.886633 206.176349 \nL 210.788775 207.493178 \nL 211.783832 208.745328 \nL 212.880504 209.928754 \nL 214.088478 211.038359 \nL 215.418488 212.067777 \nL 216.88238 213.009117 \nL 218.493174 213.852682 \nL 220.265112 214.586593 \nL 222.213705 215.196374 \nL 224.355752 215.664465 \nL 226.709324 215.96964 \nL 229.2937 216.08636 \nL 232.12924 215.984045 \nL 235.237151 215.626258 \nL 238.639145 214.969875 \nL 242.35689 213.964226 \nL 246.411276 212.550359 \nL 250.821377 210.66046 \nL 255.603044 208.217702 \nL 260.767082 205.136727 \nL 266.316903 201.325099 \nL 272.245619 196.686215 \nL 278.532527 191.124146 \nL 285.139104 184.550974 \nL 292.00457 176.897022 \nL 299.041506 168.124207 \nL 306.131933 158.242088 \nL 313.124806 147.325318 \nL 319.835867 135.53012 \nL 326.051023 123.105991 \nL 331.534282 110.398215 \nL 336.040811 97.836511 \nL 339.334651 85.90727 \nL 341.209729 75.109913 \nL 341.511267 65.903037 \nL 340.154113 58.649915 \nL 337.134414 53.575137 \nL 332.532161 50.742295 \nL 326.503914 50.057254 \nL 319.267119 51.294851 \nL 311.079006 54.140994 \nL 302.21382 58.239756 \nL 292.941824 63.2359 \nL 283.512479 68.806724 \nL 274.142961 74.681038 \nL 265.011984 80.64652 \nL 256.258194 86.5482 \nL 247.981884 92.281438 \nL 240.248899 97.782469 \nL 233.095668 103.018513 \nL 226.534557 107.978824 \nL 220.559057 112.667258 \nL 215.148445 117.096504 \nL 210.271807 121.28386 \nL 205.891372 125.248358 \nL 201.965193 129.008838 \nL 198.449239 132.582821 \nL 195.298983 135.985911 \nL 192.470562 139.231535 \nL 187.611749 145.293132 \nL 183.559951 150.83302 \nL 175.262316 162.586184 \nL 172.129498 166.44454 \nL 170.517952 168.179915 \nL 168.852418 169.777858 \nL 167.116397 171.230419 \nL 165.294371 172.528068 \nL 163.371711 173.65957 \nL 161.334627 174.611837 \nL 159.170168 175.36977 \nL 156.866268 175.916126 \nL 154.411863 176.231405 \nL 151.797084 176.293753 \nL 149.013534 176.079 \nL 146.054639 175.560717 \nL 142.916134 174.710497 \nL 139.596642 173.498419 \nL 136.098368 171.89372 \nL 132.427915 169.865887 \nL 128.597213 167.386062 \nL 124.624487 164.428955 \nL 120.535327 160.975228 \nL 116.363637 157.014337 \nL 112.15252 152.547842 \nL 107.954857 147.592899 \nL 103.833502 142.185733 \nL 99.860873 136.384694 \nL 96.117794 130.27228 \nL 92.691479 123.955666 \nL 89.672495 117.565136 \nL 87.150865 111.249909 \nL 85.211372 105.171443 \nL 83.92846 99.494315 \nL 83.361152 94.375599 \nL 83.548508 89.953941 \nL 84.506261 86.339551 \nL 86.224974 83.606833 \nL 88.670045 81.790366 \nL 91.783613 80.884927 \nL 95.488112 80.849141 \nL 99.690989 81.61224 \nL 104.2902 83.082388 \nL 109.179706 85.155671 \nL 114.254617 87.724311 \nL 119.415524 90.683609 \nL 124.571834 93.936964 \nL 129.644052 97.39912 \nL 134.56499 100.997608 \nL 139.280114 104.672948 \nL 143.747216 108.377903 \nL 147.93552 112.076084 \nL 151.824504 115.740335 \nL 155.402503 119.351041 \nL 158.665279 122.894558 \nL 161.614617 126.361786 \nL 164.257 129.747022 \nL 166.60242 133.046975 \nL 168.663345 136.260008 \nL 170.453821 139.385586 \nL 171.988724 142.423815 \nL 173.283156 145.375143 \nL 174.351958 148.240154 \nL 175.209326 151.019384 \nL 175.868527 153.713207 \nL 176.341687 156.321776 \nL 176.639643 158.844927 \nL 176.771851 161.282144 \nL 176.746321 163.632509 \nL 176.569603 165.894634 \nL 176.246772 168.066615 \nL 175.781455 170.145955 \nL 175.175857 172.129467 \nL 174.430797 174.013199 \nL 173.545753 175.792321 \nL 172.518914 177.460965 \nL 171.347238 179.012119 \nL 170.026516 180.43742 \nL 168.551448 181.726969 \nL 166.915731 182.869121 \nL 165.112167 183.850242 \nL 163.132804 184.654452 \nL 160.969089 185.263371 \nL 158.612113 185.655843 \nL 156.052866 185.807699 \nL 153.2826 185.691524 \nL 150.293262 185.276542 \nL 147.078063 184.528589 \nL 143.632165 183.410286 \nL 139.953513 181.881455 \nL 136.043848 179.899914 \nL 131.90988 177.42272 \nL 127.564658 174.408011 \nL 123.029032 170.817571 \nL 118.333276 166.620178 \nL 113.518645 161.795757 \nL 108.638794 156.340357 \nL 103.760887 150.271584 \nL 98.96608 143.634113 \nL 94.349136 136.504634 \nL 90.016843 128.995251 \nL 86.085081 121.254303 \nL 82.674262 113.463666 \nL 79.903365 105.831664 \nL 77.882757 98.58168 \nL 76.706469 91.936956 \nL 76.444708 86.103384 \nL 77.137553 81.252526 \nL 78.790793 77.507546 \nL 81.374488 74.934237 \nL 84.824547 73.538666 \nL 89.04719 73.271343 \nL 93.925536 74.036969 \nL 99.327607 75.707518 \nL 105.114608 78.136612 \nL 111.148687 81.172859 \nL 117.299476 84.670821 \nL 123.449037 88.49872 \nL 129.495098 92.543095 \nL 135.352687 96.71052 \nL 140.954442 100.92728 \nL 146.249869 105.137571 \nL 151.203892 109.300977 \nL 155.794989 113.389673 \nL 160.01313 117.385709 \nL 163.857701 121.278568 \nL 167.33553 125.063104 \nL 170.459106 128.737899 \nL 173.244998 132.303988 \nL 175.712519 135.763896 \nL 177.882609 139.120991 \nL 179.776935 142.378996 \nL 181.417171 145.54169 \nL 182.824454 148.612719 \nL 184.018969 151.595498 \nL 185.019662 154.493157 \nL 185.844034 157.308508 \nL 186.50803 160.044069 \nL 187.025971 162.702067 \nL 187.67279 167.792911 \nL 187.866738 172.593659 \nL 187.665704 177.113058 \nL 187.105244 181.35591 \nL 186.200618 185.32249 \nL 184.948473 189.00738 \nL 184.186242 190.740515 \nL 183.328009 192.397658 \nL 182.368546 193.975575 \nL 181.301581 195.470161 \nL 180.11979 196.876277 \nL 178.81479 198.187574 \nL 177.377121 199.39627 \nL 175.796245 200.492886 \nL 174.06054 201.465965 \nL 172.157315 202.301713 \nL 170.072849 202.98361 \nL 167.792452 203.49197 \nL 165.300591 203.803432 \nL 162.581057 203.890442 \nL 159.61724 203.720684 \nL 156.3925 203.25654 \nL 152.890691 202.454568 \nL 149.096862 201.265148 \nL 144.998197 199.632309 \nL 140.585216 197.493951 \nL 135.853299 194.782618 \nL 130.804584 191.427082 \nL 125.450229 187.355002 \nL 119.813029 182.497015 \nL 113.930385 176.792497 \nL 107.857352 170.197232 \nL 101.6696 162.692987 \nL 95.465832 154.298526 \nL 89.369152 145.081172 \nL 83.52666 135.167305 \nL 78.106636 124.749461 \nL 73.292689 114.087383 \nL 69.27459 103.500378 \nL 66.236003 93.349463 \nL 64.340117 84.009625 \nL 63.714739 75.835007 \nL 64.43903 69.122558 \nL 66.534132 64.080733 \nL 69.959414 60.809581 \nL 74.615101 59.296165 \nL 80.350986 59.425396 \nL 86.97959 61.003131 \nL 94.291724 63.785835 \nL 102.072084 67.51074 \nL 110.112967 71.921681 \nL 118.224984 76.787734 \nL 126.2441 81.914124 \nL 134.035351 87.146149 \nL 141.493598 92.367993 \nL 148.54217 97.498249 \nL 155.130086 102.483936 \nL 161.228524 107.294195 \nL 166.827 111.914464 \nL 171.929665 116.34147 \nL 176.551888 120.579328 \nL 180.717258 124.636525 \nL 184.455044 128.523758 \nL 187.798123 132.2525 \nL 190.78131 135.834032 \nL 193.440072 139.278889 \nL 195.809556 142.596572 \nL 197.923887 145.795435 \nL 201.515749 151.864428 \nL 204.453923 157.530993 \nL 208.078136 165.340355 \nL 212.302058 174.539012 \nL 214.449562 178.62102 \nL 216.769049 182.341509 \nL 218.025197 184.057991 \nL 219.362251 185.672315 \nL 220.79269 187.178283 \nL 222.329126 188.5683 \nL 223.9844 189.833176 \nL 225.771645 190.961866 \nL 227.704328 191.941183 \nL 229.796255 192.755498 \nL 232.061534 193.386391 \nL 234.514478 193.812271 \nL 237.169441 194.008017 \nL 240.040585 193.944588 \nL 243.141505 193.588686 \nL 246.484761 192.902521 \nL 250.081232 191.843695 \nL 253.939286 190.365323 \nL 258.06374 188.416535 \nL 262.454567 185.943422 \nL 267.105358 182.890698 \nL 272.00151 179.204186 \nL 277.118231 174.83436 \nL 282.418347 169.741087 \nL 287.850173 163.899611 \nL 293.34556 157.307666 \nL 298.818472 149.993297 \nL 304.164466 142.022649 \nL 309.261567 133.506651 \nL 313.972884 124.604873 \nL 318.151367 115.525132 \nL 321.646806 106.517173 \nL 324.314862 97.859667 \nL 326.027376 89.8409 \nL 326.683014 82.735074 \nL 326.216758 76.777362 \nL 324.606825 72.142003 \nL 321.877925 68.927228 \nL 318.100137 67.149762 \nL 313.383622 66.749401 \nL 307.869949 67.602329 \nL 301.721307 69.539989 \nL 295.10915 72.369731 \nL 288.203607 75.894064 \nL 281.164645 79.925981 \nL 274.135567 84.299471 \nL 267.238939 88.875141 \nL 260.574723 93.541769 \nL 254.220288 98.214923 \nL 248.231692 102.833804 \nL 242.64588 107.357193 \nL 237.48331 111.759322 \nL 232.75075 116.026028 \nL 228.444003 120.151477 \nL 224.550405 124.135485 \nL 221.051054 127.981488 \nL 217.922706 131.695016 \nL 215.13935 135.282624 \nL 212.673496 138.751201 \nL 210.497171 142.107502 \nL 208.5827 145.357881 \nL 206.903271 148.508175 \nL 205.433342 151.563655 \nL 204.148908 154.529029 \nL 202.04906 160.205794 \nL 200.446491 165.566897 \nL 199.211461 170.635235 \nL 197.824394 177.729493 \nL 196.139238 188.322372 \nL 194.892181 195.796884 \nL 193.814984 200.868293 \nL 192.965138 204.006641 \nL 191.967778 206.954605 \nL 190.782142 209.71158 \nL 189.361017 212.272196 \nL 187.648504 214.624331 \nL 186.662535 215.715876 \nL 185.577574 216.746131 \nL 184.383067 217.710133 \nL 183.067426 218.60166 \nL 181.617934 219.412966 \nL 180.020656 220.134472 \nL 178.260364 220.75439 \nL 176.320462 221.258272 \nL 174.182936 221.628473 \nL 171.828343 221.843547 \nL 169.235835 221.877508 \nL 166.383264 221.699017 \nL 163.247367 221.270467 \nL 159.8041 220.546994 \nL 156.029142 219.475447 \nL 151.898628 217.993435 \nL 147.390199 216.0285 \nL 142.484453 213.497694 \nL 137.166856 210.307787 \nL 131.430251 206.356503 \nL 125.278026 201.535312 \nL 118.727999 195.734373 \nL 111.816957 188.850333 \nL 104.605752 180.797575 \nL 97.184529 171.523251 \nL 89.677514 161.025854 \nL 82.246424 149.375953 \nL 75.091232 136.736343 \nL 68.446953 123.377236 \nL 62.575031 109.680767 \nL 57.748695 96.129067 \nL 54.23248 83.272226 \nL 52.257741 71.676653 \nL 51.997493 61.860537 \nL 53.544923 54.228602 \nL 56.899982 49.021034 \nL 61.967027 46.288832 \nL 68.564265 45.900775 \nL 76.442943 47.578481 \nL 85.312594 50.948819 \nL 94.867573 55.600406 \nL 104.810866 61.132592 \nL 114.872504 67.190313 \nL 124.82145 73.483112 \nL 134.471283 79.790396 \nL 152.35121 91.883928 \nL 167.858775 102.827145 \nL 174.659712 107.818199 \nL 180.836996 112.500309 \nL 186.418136 116.893156 \nL 191.440399 121.019781 \nL 195.947337 124.903742 \nL 199.986043 128.567333 \nL 203.605058 132.030618 \nL 206.852807 135.310965 \nL 212.421333 141.378303 \nL 217.042686 146.854151 \nL 226.366259 158.196543 \nL 229.814889 161.791566 \nL 231.572268 163.371875 \nL 233.377032 164.79798 \nL 235.246208 166.060962 \nL 237.195374 167.150335 \nL 239.238721 168.053966 \nL 241.389083 168.758 \nL 243.657896 169.24684 \nL 246.055093 169.503111 \nL 248.588953 169.507723 \nL 251.265858 169.239979 \nL 254.089965 168.677845 \nL 257.062815 167.798288 \nL 260.182838 166.577876 \nL 263.444784 164.993558 \nL 266.839083 163.023729 \nL 270.351157 160.649596 \nL 273.960688 157.856864 \nL 277.640963 154.637755 \nL 281.358257 150.993234 \nL 285.071427 146.935463 \nL 288.731756 142.490229 \nL 292.283209 137.699097 \nL 295.663134 132.621027 \nL 298.803595 127.333065 \nL 301.633319 121.929737 \nL 304.080292 116.520926 \nL 306.07492 111.227997 \nL 307.553607 106.17825 \nL 308.462449 101.498141 \nL 308.76074 97.305694 \nL 308.423941 93.703131 \nL 307.445779 90.770414 \nL 305.839156 88.560704 \nL 303.635828 87.098039 \nL 300.884787 86.377691 \nL 297.649587 86.368926 \nL 294.004842 87.019482 \nL 290.032303 88.261347 \nL 285.816859 90.016806 \nL 281.442837 92.204144 \nL 276.990775 94.742586 \nL 272.534882 97.556023 \nL 268.141256 100.575583 \nL 263.866818 103.741052 \nL 259.758852 107.001373 \nL 255.855129 110.314387 \nL 252.184399 113.646145 \nL 248.767187 116.969914 \nL 245.616749 120.265063 \nL 242.740136 123.515988 \nL 240.139225 126.711071 \nL 237.811768 129.841787 \nL 235.752322 132.901937 \nL 233.9531 135.887003 \nL 232.404721 138.793665 \nL 231.096841 141.61936 \nL 230.018699 144.36202 \nL 229.15955 147.01978 \nL 228.509014 149.590811 \nL 228.057363 152.073172 \nL 227.795722 154.464681 \nL 227.716228 156.762803 \nL 227.812135 158.964551 \nL 228.07788 161.066405 \nL 228.509118 163.064184 \nL 229.102728 164.952969 \nL 229.856799 166.72698 \nL 230.770586 168.379464 \nL 231.844459 169.902554 \nL 233.079826 171.287121 \nL 234.479029 172.522633 \nL 236.045237 173.596974 \nL 237.782289 174.496308 \nL 239.694512 175.204878 \nL 241.786515 175.704885 \nL 244.062897 175.976379 \nL 246.527946 175.997142 \nL 249.185223 175.742756 \nL 252.037092 175.18665 \nL 255.084163 174.300424 \nL 258.324614 173.054273 \nL 261.753426 171.41774 \nL 265.361518 169.360781 \nL 269.134775 166.855216 \nL 273.053026 163.876628 \nL 277.089013 160.40674 \nL 281.207375 156.436271 \nL 285.363821 151.96815 \nL 289.50456 147.020957 \nL 293.566137 141.632297 \nL 297.475904 135.861656 \nL 301.153185 129.792328 \nL 304.511368 123.531699 \nL 307.460893 117.209516 \nL 309.91317 110.97364 \nL 311.785182 104.983271 \nL 313.004508 99.399913 \nL 313.514242 94.377015 \nL 313.277356 90.049223 \nL 312.279908 86.522882 \nL 310.532733 83.868911 \nL 308.071296 82.119213 \nL 304.953725 81.26684 \nL 301.257296 81.269768 \nL 297.073705 82.057497 \nL 292.503737 83.539337 \nL 287.65186 85.613041 \nL 282.62124 88.172858 \nL 277.509513 91.116178 \nL 272.405571 94.348405 \nL 267.387389 97.786009 \nL 262.520841 101.358021 \nL 257.859363 105.00612 \nL 253.444324 108.683911 \nL 249.305878 112.355587 \nL 245.464146 115.994357 \nL 241.930565 119.580798 \nL 238.709294 123.101312 \nL 235.798598 126.546781 \nL 233.19214 129.911407 \nL 230.880134 133.191754 \nL 228.850376 136.386034 \nL 227.089121 139.493528 \nL 225.581807 142.514188 \nL 224.313661 145.448283 \nL 223.270169 148.296225 \nL 222.437458 151.058376 \nL 221.802579 153.734947 \nL 221.353706 156.325909 \nL 221.080295 158.830919 \nL 220.973173 161.249277 \nL 221.024594 163.579864 \nL 221.228263 165.821072 \nL 221.579344 167.970749 \nL 222.074438 170.02613 \nL 222.711557 171.98374 \nL 223.490083 173.839294 \nL 224.410725 175.587585 \nL 225.475462 177.222339 \nL 226.687486 178.73607 \nL 228.051126 180.119892 \nL 229.571774 181.363326 \nL 231.255782 182.454082 \nL 233.110346 183.377816 \nL 235.143347 184.117889 \nL 237.363171 184.655098 \nL 239.77847 184.967435 \nL 242.39785 185.029849 \nL 245.229497 184.814087 \nL 248.280693 184.28859 \nL 251.557207 183.418572 \nL 255.062579 182.166273 \nL 258.797215 180.49152 \nL 262.757349 178.352664 \nL 266.933822 175.708033 \nL 271.310691 172.518002 \nL 275.863748 168.747771 \nL 280.558976 164.37097 \nL 285.351042 159.373983 \nL 290.182047 153.760992 \nL 294.980669 147.559304 \nL 299.662004 140.82457 \nL 304.128366 133.645058 \nL 308.27131 126.144066 \nL 311.975125 118.479522 \nL 315.12176 110.839778 \nL 317.59713 103.435179 \nL 319.298339 96.485548 \nL 320.141187 90.204576 \nL 320.067124 84.783039 \nL 319.048665 80.373112 \nL 317.092562 77.076298 \nL 314.240152 74.936916 \nL 310.564831 73.94207 \nL 306.166918 74.027631 \nL 301.166713 75.088958 \nL 295.696542 76.994182 \nL 289.892801 79.597918 \nL 283.888754 82.753503 \nL 277.808675 86.322634 \nL 271.763558 90.181937 \nL 265.84848 94.226466 \nL 260.141439 98.370754 \nL 254.70339 102.547996 \nL 249.579206 106.708092 \nL 244.799223 110.815082 \nL 240.381126 114.844483 \nL 236.331978 118.780678 \nL 232.650211 122.61472 \nL 229.327504 126.34241 \nL 226.350465 129.962837 \nL 223.702105 133.477218 \nL 221.363077 136.888059 \nL 219.312709 140.198557 \nL 217.529839 143.412203 \nL 215.993459 146.532489 \nL 214.683222 149.562785 \nL 213.579808 152.50621 \nL 212.665188 155.365595 \nL 211.922792 158.143495 \nL 211.337621 160.84215 \nL 210.896293 163.463531 \nL 210.587052 166.009321 \nL 210.325797 170.879593 \nL 210.491109 175.461302 \nL 211.04344 179.758474 \nL 211.964499 183.770197 \nL 212.562971 185.667082 \nL 213.255553 187.489361 \nL 214.045254 189.234859 \nL 214.936176 190.900714 \nL 215.933506 192.483262 \nL 217.043507 193.977905 \nL 218.273522 195.378926 \nL 219.631975 196.679316 \nL 221.128368 197.87052 \nL 222.773284 198.942187 \nL 224.578364 199.881848 \nL 226.556284 200.674571 \nL 228.720686 201.302551 \nL 231.086083 201.744669 \nL 233.667714 201.975995 \nL 236.481303 201.967278 \nL 239.54276 201.684431 \nL 242.867714 201.088027 \nL 246.470933 200.132913 \nL 250.365505 198.767975 \nL 254.561813 196.936184 \nL 259.066211 194.575127 \nL 263.879377 191.618154 \nL 268.994329 187.996429 \nL 274.394074 183.642191 \nL 280.048949 178.493444 \nL 285.913779 172.500367 \nL 291.925 165.633493 \nL 297.998116 157.893483 \nL 304.025899 149.321805 \nL 309.877941 140.011255 \nL 315.402148 130.114343 \nL 320.428814 119.847354 \nL 324.777742 109.487466 \nL 328.268358 99.361008 \nL 330.732373 89.822089 \nL 332.027796 81.223151 \nL 332.052434 73.8811 \nL 330.754954 68.044753 \nL 328.141447 63.86975 \nL 324.27633 61.40598 \nL 319.277271 60.599593 \nL 313.30502 61.308383 \nL 306.549815 63.326379 \nL 299.21649 66.412344 \nL 291.510291 70.316695 \nL 283.624967 74.803265 \nL 275.733958 79.663959 \nL 267.984932 84.726528 \nL 260.497378 89.856305 \nL 253.362623 94.953971 \nL 246.645669 99.950785 \nL 240.388097 104.80283 \nL 234.611541 109.485274 \nL 229.321279 113.987144 \nL 224.509679 118.306984 \nL 220.159311 122.449474 \nL 216.245676 126.422832 \nL 212.739469 130.237049 \nL 209.608448 133.90263 \nL 206.818911 137.429823 \nL 204.336834 140.828168 \nL 202.128722 144.106257 \nL 200.162223 147.271668 \nL 196.832695 153.289748 \nL 194.12436 158.924077 \nL 191.844496 164.203954 \nL 186.063231 178.071602 \nL 184.088399 182.049094 \nL 181.921737 185.689127 \nL 180.737543 187.375224 \nL 179.470712 188.966312 \nL 178.109496 190.456726 \nL 176.641855 191.83948 \nL 175.055366 193.106065 \nL 173.337154 194.246189 \nL 171.473833 195.247494 \nL 169.451503 196.095231 \nL 167.255754 196.771895 \nL 164.871739 197.256822 \nL 162.284302 197.525771 \nL 159.478184 197.550476 \nL 156.43832 197.298215 \nL 153.150276 196.73144 \nL 149.600824 195.807495 \nL 145.778712 194.478539 \nL 141.675655 192.691753 \nL 137.287581 190.389986 \nL 132.61615 187.513043 \nL 127.670598 183.999786 \nL 122.469842 179.791313 \nL 117.044841 174.835422 \nL 111.441065 169.09253 \nL 105.720911 162.542983 \nL 99.965748 155.19566 \nL 94.277205 147.097054 \nL 88.777222 138.339951 \nL 83.60631 129.069932 \nL 78.919583 119.487974 \nL 74.880205 109.84697 \nL 71.650324 100.440784 \nL 69.379953 91.585451 \nL 68.194929 83.593858 \nL 68.185314 76.747087 \nL 69.396043 71.26703 \nL 71.821339 67.29526 \nL 75.403913 64.882126 \nL 80.039224 63.987882 \nL 85.584027 64.494873 \nL 91.86799 66.22777 \nL 98.706475 68.977252 \nL 105.912969 72.523151 \nL 113.309709 76.653585 \nL 120.735788 81.178447 \nL 128.052421 85.937181 \nL 135.145556 90.801377 \nL 141.926296 95.673668 \nL 148.329662 100.484186 \nL 154.312267 105.186045 \nL 159.849408 109.750396 \nL 164.931936 114.16192 \nL 169.563178 118.414935 \nL 173.756105 122.510233 \nL 177.530814 126.452657 \nL 180.912385 130.249354 \nL 183.929091 133.908495 \nL 186.610966 137.438482 \nL 188.988673 140.847429 \nL 191.092641 144.142875 \nL 192.952432 147.331633 \nL 194.596293 150.41977 \nL 197.341012 156.314896 \nL 199.518208 161.863406 \nL 201.290054 167.092015 \nL 203.47682 174.37833 \nL 206.054273 183.124985 \nL 207.383961 187.101176 \nL 208.835169 190.81535 \nL 210.474685 194.262651 \nL 212.370845 197.430584 \nL 213.437814 198.903114 \nL 214.597039 200.296165 \nL 215.859016 201.604549 \nL 217.234941 202.821823 \nL 218.736795 203.940054 \nL 220.377411 204.949545 \nL 222.170539 205.838498 \nL 224.13087 206.592661 \nL 226.274056 207.194878 \nL 228.616667 207.624609 \nL 231.176121 207.857375 \nL 233.970524 207.864154 \nL 237.018417 207.61074 \nL 240.338409 207.057112 \nL 243.948652 206.15682 \nL 247.866093 204.856502 \nL 252.105497 203.095652 \nL 256.67815 200.806754 \nL 261.590204 197.916047 \nL 266.840596 194.345179 \nL 272.418554 190.014101 \nL 278.300628 184.845552 \nL 284.447423 178.77155 \nL 290.800072 171.742061 \nL 297.276883 163.735915 \nL 303.770564 154.773511 \nL 310.14664 144.930125 \nL 316.243922 134.347943 \nL 321.877811 123.244063 \nL 326.847107 111.911144 \nL 330.944686 100.707704 \nL 333.971714 90.036268 \nL 335.754127 80.310018 \nL 336.159457 71.912036 \nL 335.111374 65.153658 \nL 332.599301 60.24028 \nL 328.681367 57.251913 \nL 323.47979 56.142054 \nL 317.169658 56.754356 \nL 309.96305 58.852153 \nL 302.091172 62.153694 \nL 293.787104 66.365995 \nL 285.271269 71.212279 \nL 276.740671 76.450352 \nL 268.362338 81.881878 \nL 260.270481 87.354358 \nL 252.566665 92.757772 \nL 245.32213 98.018388 \nL 238.581359 103.091472 \nL 232.366256 107.954023 \nL 226.680421 112.598509 \nL 221.513176 117.02764 \nL 216.843167 121.25037 \nL 212.64145 125.279015 \nL 208.874052 129.12719 \nL 205.504032 132.808501 \nL 202.493092 136.335752 \nL 199.802807 139.72049 \nL 197.395518 142.97284 \nL 193.286729 149.113529 \nL 189.899829 154.810704 \nL 185.672762 162.594758 \nL 181.904525 169.504737 \nL 179.388365 173.620761 \nL 176.71568 177.321171 \nL 175.283482 179.004455 \nL 173.768526 180.568201 \nL 172.157038 182.004476 \nL 170.435403 183.303732 \nL 168.590094 184.454587 \nL 166.607632 185.443587 \nL 164.474591 186.254926 \nL 162.17765 186.870185 \nL 159.703695 187.268039 \nL 157.040012 187.42398 \nL 154.174563 187.310083 \nL 151.096349 186.894838 \nL 147.795928 186.143096 \nL 144.26606 185.016191 \nL 140.502515 183.472342 \nL 136.505085 181.467402 \nL 132.278773 178.956125 \nL 127.835179 175.893995 \nL 123.194044 172.239877 \nL 118.384928 167.959478 \nL 113.448902 163.029728 \nL 108.440066 157.444016 \nL 103.426797 151.218025 \nL 98.492332 144.395711 \nL 93.734478 137.054741 \nL 89.264049 129.310348 \nL 85.201814 121.316488 \nL 81.67378 113.26316 \nL 78.804857 105.369088 \nL 76.711228 97.869561 \nL 75.492072 91.000113 \nL 75.221518 84.978024 \nL 75.941889 79.983889 \nL 77.659203 76.146421 \nL 80.341631 73.532944 \nL 83.921285 72.146921 \nL 88.298992 71.932819 \nL 93.351493 72.786818 \nL 98.939993 74.571212 \nL 104.919027 77.129938 \nL 111.144693 80.302785 \nL 117.481521 83.937039 \nL 123.807571 87.89547 \nL 130.017724 92.060905 \nL 136.025261 96.337812 \nL 141.76202 100.651614 \nL 147.177509 104.946586 \nL 152.237257 109.183047 \nL 156.920796 113.334263 \nL 161.219454 117.383566 \nL 165.134144 121.321741 \nL 168.673308 125.144914 \nL 171.85105 128.852806 \nL 174.685522 132.447485 \nL 177.197537 135.932376 \nL 179.409451 139.311603 \nL 181.344237 142.589549 \nL 183.024779 145.770547 \nL 184.473324 148.858723 \nL 185.711079 151.857912 \nL 186.757936 154.771607 \nL 187.63228 157.602976 \nL 188.350888 160.35485 \nL 189.379707 165.630029 \nL 189.945601 170.614424 \nL 190.124654 175.321756 \nL 189.97003 179.762627 \nL 189.514421 183.944615 \nL 188.77227 187.871944 \nL 187.74151 191.544745 \nL 186.404699 194.957791 \nL 185.612005 196.563361 \nL 184.729517 198.098603 \nL 183.750852 199.560364 \nL 182.668655 200.944621 \nL 181.47457 202.246321 \nL 180.159207 203.459179 \nL 178.712105 204.575463 \nL 177.121712 205.58571 \nL 175.375348 206.478419 \nL 173.459204 207.239667 \nL 171.358351 207.852687 \nL 169.056783 208.297383 \nL 166.537514 208.549769 \nL 163.782723 208.581364 \nL 160.774018 208.358554 \nL 157.492769 207.841917 \nL 153.920651 206.985593 \nL 150.040339 205.736767 \nL 145.836469 204.035346 \nL 141.296907 201.814016 \nL 136.414363 198.998875 \nL 131.18842 195.510927 \nL 125.628019 191.268763 \nL 119.754413 186.192842 \nL 113.604445 180.21172 \nL 107.234137 173.270528 \nL 100.72217 165.341771 \nL 94.172875 156.43808 \nL 87.718116 146.625839 \nL 81.517203 136.037935 \nL 75.754077 124.882825 \nL 70.63093 113.446624 \nL 66.357911 102.084942 \nL 63.139142 91.202408 \nL 61.156057 81.220127 \nL 60.550152 72.534538 \nL 61.407601 65.474449 \nL 63.748593 60.26445 \nL 67.523348 57.002637 \nL 72.615788 55.656955 \nL 78.85424 56.080261 \nL 86.027222 58.039278 \nL 93.901564 61.250436 \nL 102.240243 65.415125 \nL 110.817614 70.248645 \nL 119.430857 75.50017 \nL 127.907126 80.963158 \nL 136.106823 86.478006 \nL 143.923677 91.929071 \nL 151.282579 97.238467 \nL 158.136006 102.35857 \nL 164.459791 107.264648 \nL 170.24877 111.948202 \nL 175.512632 116.411597 \nL 180.272212 120.663827 \nL 184.556302 124.717454 \nL 188.398995 128.586498 \nL 191.837556 132.284985 \nL 194.91074 135.826148 \nL 197.657522 139.221938 \nL 200.116159 142.482794 \nL 204.314702 148.633951 \nL 207.778192 154.334053 \nL 212.105363 162.109639 \nL 215.967537 168.994789 \nL 218.548147 173.083351 \nL 221.289645 176.745382 \nL 222.758495 178.404573 \nL 224.311859 179.940437 \nL 225.963656 181.344581 \nL 227.7276 182.606937 \nL 229.617263 183.715557 \nL 231.646105 184.656361 \nL 233.827463 185.412868 \nL 236.17447 185.965951 \nL 238.699936 186.29354 \nL 241.416134 186.370398 \nL 244.334496 186.167911 \nL 247.465208 185.653973 \nL 250.816655 184.793003 \nL 254.394743 183.546186 \nL 258.202043 181.871987 \nL 262.236744 179.727071 \nL 266.491428 177.067723 \nL 270.951677 173.851933 \nL 275.594512 170.042243 \nL 280.386814 165.609419 \nL 285.283699 160.536985 \nL 290.22716 154.826473 \nL 295.145112 148.503132 \nL 299.951104 141.621532 \nL 304.545052 134.270286 \nL 308.815248 126.574903 \nL 312.641858 118.697643 \nL 315.902072 110.833435 \nL 318.476648 103.201203 \nL 320.257555 96.03078 \nL 321.155928 89.546404 \nL 321.109473 83.948693 \nL 320.088346 79.397881 \nL 318.098575 76.000828 \nL 315.182523 73.803883 \nL 311.416236 72.792846 \nL 306.90407 72.899381 \nL 301.771276 74.012532 \nL 296.155591 75.992982 \nL 290.198828 78.687695 \nL 284.039286 81.942925 \nL 277.805601 85.6144 \nL 271.612302 89.574075 \nL 265.55711 93.713675 \nL 259.719807 97.945649 \nL 254.162364 102.202127 \nL 248.929998 106.432732 \nL 244.052868 110.601783 \nL 239.548079 114.685408 \nL 235.421831 118.668813 \nL 231.671506 122.543943 \nL 228.28762 126.307494 \nL 225.25557 129.959412 \nL 222.557158 133.501685 \nL 220.171856 136.937509 \nL 218.077863 140.270683 \nL 216.252944 143.505227 \nL 214.67509 146.64511 \nL 213.323015 149.694083 \nL 212.176522 152.65564 \nL 211.216759 155.532946 \nL 210.426385 158.328855 \nL 209.789662 161.045919 \nL 209.292498 163.686408 \nL 208.668665 168.745398 \nL 208.474343 173.519001 \nL 208.652927 178.016794 \nL 209.169542 182.244782 \nL 210.008933 186.204893 \nL 211.173739 189.894022 \nL 212.683328 193.302433 \nL 213.577896 194.895941 \nL 214.573244 196.411348 \nL 215.676343 197.844332 \nL 216.895197 199.189483 \nL 218.238864 200.440126 \nL 219.717474 201.588077 \nL 221.342247 202.623374 \nL 223.125499 203.533961 \nL 225.080631 204.305309 \nL 227.222092 204.920008 \nL 229.565317 205.357289 \nL 232.126598 205.592485 \nL 234.922896 205.596475 \nL 237.971557 205.33508 \nL 241.28991 204.768477 \nL 244.894687 203.85068 \nL 248.801281 202.52914 \nL 253.022717 200.744622 \nL 257.568343 198.431492 \nL 262.442191 195.518625 \nL 267.64091 191.931213 \nL 273.151321 187.593815 \nL 278.947586 182.434926 \nL 284.988059 176.393437 \nL 291.212032 169.427157 \nL 297.536683 161.523287 \nL 303.854672 152.710371 \nL 310.032988 143.070543 \nL 315.913842 132.750153 \nL 321.318264 121.966202 \nL 326.053056 111.00557 \nL 329.921273 100.214491 \nL 332.735851 89.976791 \nL 334.335104 80.682057 \nL 334.598297 72.687537 \nL 333.458759 66.280128 \nL 330.912344 61.645822 \nL 327.019521 58.852995 \nL 321.900612 57.852522 \nL 315.724964 58.493969 \nL 308.696016 60.553091 \nL 301.034596 63.764325 \nL 292.9629 67.851911 \nL 284.690979 72.555033 \nL 276.406751 77.644757 \nL 268.269843 82.932796 \nL 260.408906 88.273346 \nL 252.921722 93.560313 \nL 245.877286 98.721647 \nL 239.319124 103.712682 \nL 233.269192 108.509526 \nL 227.731858 113.103147 \nL 222.69772 117.494521 \nL 218.147016 121.690871 \nL 214.052563 125.702867 \nL 210.38222 129.542688 \nL 207.100869 133.222737 \nL 204.17198 136.754829 \nL 201.55881 140.149748 \nL 199.22528 143.417035 \nL 197.136605 146.564945 \nL 193.563491 152.529519 \nL 190.599039 158.08619 \nL 182.286534 174.610287 \nL 179.891874 178.501156 \nL 178.615374 180.298094 \nL 177.268135 181.990129 \nL 175.836978 183.571409 \nL 174.308806 185.034753 \nL 172.670496 186.37145 \nL 170.908817 187.571037 \nL 169.010386 188.621041 \nL 166.961639 189.506707 \nL 164.748863 190.210679 \nL 162.358279 190.712676 \nL 159.776175 190.98916 \nL 156.98914 191.013004 \nL 153.984379 190.753217 \nL 150.750159 190.174726 \nL 147.276389 189.238304 \nL 143.555382 187.900721 \nL 139.582794 186.115189 \nL 135.358788 183.832258 \nL 130.889433 181.001305 \nL 126.188299 177.572753 \nL 121.278278 173.501232 \nL 116.193517 168.749732 \nL 110.981332 163.294888 \nL 105.703976 157.133215 \nL 100.439927 150.288004 \nL 95.284414 142.816263 \nL 90.348794 134.814748 \nL 85.758385 126.423779 \nL 81.648433 117.827492 \nL 78.158151 109.249126 \nL 75.422923 100.94058 \nL 73.565171 93.166343 \nL 72.684807 86.183184 \nL 72.850429 80.218085 \nL 74.092425 75.44785 \nL 76.399205 71.98401 \nL 79.717123 69.865315 \nL 83.954188 69.059253 \nL 88.987061 69.471518 \nL 94.670244 70.961319 \nL 100.846242 73.359392 \nL 107.355435 76.485621 \nL 114.044688 80.164119 \nL 120.774019 84.234233 \nL 127.421169 88.55726 \nL 133.884034 93.019315 \nL 140.08138 97.531222 \nL 145.952139 102.026393 \nL 151.453765 106.457581 \nL 156.560017 110.793276 \nL 161.258474 115.01416 \nL 165.548018 119.109965 \nL 169.436454 123.076855 \nL 172.938355 126.915289 \nL 176.073164 130.628473 \nL 178.86361 134.221152 \nL 181.334374 137.698829 \nL 183.511047 141.067225 \nL 185.419288 144.331908 \nL 187.084197 147.498152 \nL 188.529855 150.570798 \nL 189.779001 153.554247 \nL 190.852821 156.452461 \nL 192.550833 162.007095 \nL 193.75944 167.259214 \nL 194.587647 172.229083 \nL 195.120334 176.933889 \nL 195.421463 181.388625 \nL 195.537382 185.606657 \nL 195.430104 191.515977 \nL 195.033167 196.955546 \nL 194.357459 201.955461 \nL 193.739434 205.056199 \nL 192.967773 207.976492 \nL 192.01718 210.718339 \nL 190.854056 213.280238 \nL 189.435343 215.655791 \nL 187.706949 217.831566 \nL 186.706213 218.837665 \nL 185.601732 219.783933 \nL 184.382679 220.665059 \nL 183.037088 221.474389 \nL 181.551776 222.203652 \nL 179.91224 222.842616 \nL 178.102592 223.378684 \nL 176.10548 223.7964 \nL 173.902044 224.076881 \nL 171.471908 224.197137 \nL 168.793217 224.12929 \nL 165.842759 223.839675 \nL 162.596178 223.287856 \nL 159.028356 222.425553 \nL 155.113977 221.195551 \nL 150.828354 219.530676 \nL 146.148622 217.352983 \nL 141.055336 214.573379 \nL 135.534626 211.092024 \nL 129.581004 206.799927 \nL 123.200869 201.582355 \nL 116.416802 195.32474 \nL 109.272551 187.921796 \nL 101.838508 179.290531 \nL 94.217263 169.387343 \nL 86.548401 158.228683 \nL 79.011541 145.913471 \nL 71.826146 132.643752 \nL 65.246583 118.73829 \nL 59.551166 104.632751 \nL 55.024578 90.860529 \nL 51.934469 78.011342 \nL 50.504758 66.670232 \nL 50.889655 57.346411 \nL 53.153274 50.406903 \nL 57.259321 46.030734 \nL 63.073165 44.194843 \nL 70.37614 44.694046 \nL 78.888933 47.187497 \nL 88.299529 51.258472 \nL 98.290659 56.472872 \nL 108.562942 62.426088 \nL 118.851567 68.772966 \nL 128.935932 75.241288 \nL 147.846723 87.812244 \nL 164.441538 99.25964 \nL 178.438665 109.357574 \nL 184.482292 113.922863 \nL 189.930332 118.195646 \nL 194.824915 122.201489 \nL 199.213184 125.96529 \nL 203.144775 129.509859 \nL 206.669927 132.855243 \nL 212.697026 139.013356 \nL 217.665765 144.540222 \nL 227.498702 155.899512 \nL 231.048279 159.471112 \nL 232.839666 161.034858 \nL 234.668627 162.441596 \nL 236.552787 163.682753 \nL 238.508106 164.748252 \nL 240.548952 165.626441 \nL 242.688133 166.304095 \nL 244.936871 166.766393 \nL 247.304711 166.996924 \nL 249.799372 166.977816 \nL 252.426528 166.689874 \nL 255.189518 166.11287 \nL 258.088965 165.225936 \nL 261.122342 164.008203 \nL 264.283447 162.439548 \nL 267.561845 160.501687 \nL 270.94225 158.179454 \nL 274.403941 155.462379 \nL 277.920172 152.346532 \nL 281.457747 148.836543 \nL 284.976728 144.947712 \nL 288.430431 140.708046 \nL 291.765772 136.159999 \nL 294.924079 131.361643 \nL 297.84241 126.38697 \nL 300.45542 121.325061 \nL 302.697793 116.27785 \nL 304.507081 111.356473 \nL 305.826906 106.676248 \nL 306.610171 102.350638 \nL 306.82206 98.484752 \nL 306.442548 95.169011 \nL 305.468096 92.473801 \nL 303.912328 90.445662 \nL 301.805627 89.10551 \nL 299.193665 88.449041 \nL 296.134987 88.44906 \nL 292.697967 89.059429 \nL 288.957328 90.219943 \nL 284.990686 91.861499 \nL 280.875236 93.911052 \nL 276.684935 96.295883 \nL 272.48824 98.946906 \nL 268.346476 101.801019 \nL 264.312808 104.802457 \nL 260.431816 107.903349 \nL 256.739518 111.063603 \nL 253.263763 114.250428 \nL 250.02489 117.437512 \nL 247.036553 120.604129 \nL 244.306637 123.734176 \nL 241.838208 126.815309 \nL 239.630414 129.838113 \nL 237.679346 132.795431 \nL 235.978821 135.68176 \nL 234.521059 138.492796 \nL 233.297292 141.225036 \nL 232.298261 143.875457 \nL 231.514637 146.441293 \nL 230.937352 148.919836 \nL 230.557875 151.308245 \nL 230.368409 153.603458 \nL 230.362054 155.802039 \nL 230.532902 157.900075 \nL 230.876103 159.89306 \nL 231.387905 161.775817 \nL 232.065648 163.542355 \nL 232.907746 165.185778 \nL 233.913641 166.698132 \nL 235.083727 168.070289 \nL 236.419263 169.291821 \nL 237.922243 170.350843 \nL 239.595258 171.233883 \nL 241.441305 171.925755 \nL 243.463569 172.409438 \nL 245.665148 172.666025 \nL 248.048736 172.674684 \nL 250.616227 172.41273 \nL 253.36826 171.855782 \nL 256.303685 170.978091 \nL 259.418925 169.753047 \nL 262.707283 168.153936 \nL 266.158143 166.154981 \nL 269.756119 163.732757 \nL 273.480181 160.867956 \nL 277.30274 157.547537 \nL 281.188877 153.76725 \nL 285.095683 149.534444 \nL 288.971896 144.870916 \nL 292.757941 139.815648 \nL 296.386482 134.427017 \nL 299.783644 128.784028 \nL 302.870996 122.986233 \nL 305.568285 117.151771 \nL 307.796927 111.413452 \nL 309.483982 105.912708 \nL 310.566449 100.791887 \nL 310.995418 96.185502 \nL 310.739677 92.211301 \nL 309.78835 88.962501 \nL 308.152224 86.501927 \nL 305.863559 84.858993 \nL 302.974423 84.029852 \nL 299.55368 83.980403 \nL 295.683006 84.651607 \nL 291.452367 85.966268 \nL 286.955396 87.836223 \nL 282.285083 90.169077 \nL 277.530061 92.874009 \nL 272.771727 95.86607 \nL 268.082218 99.069133 \nL 263.523227 102.417368 \nL 259.145569 105.855642 \nL 254.989362 109.339146 \nL 251.084655 112.832419 \nL 247.45238 116.308124 \nL 244.10548 119.745709 \nL 241.050112 123.130103 \nL 238.286858 126.450542 \nL 235.811873 129.699534 \nL 233.617932 132.871988 \nL 231.695376 135.964536 \nL 230.03292 138.974987 \nL 228.618347 141.901896 \nL 227.439077 144.744278 \nL 226.482642 147.50131 \nL 225.737046 150.172207 \nL 225.191053 152.756051 \nL 224.834411 155.251683 \nL 224.657997 157.657631 \nL 224.65393 159.971999 \nL 224.815633 162.192416 \nL 225.13787 164.315942 \nL 225.61675 166.338981 \nL 226.249722 168.257179 \nL 227.035537 170.065331 \nL 227.974206 171.757227 \nL 229.066947 173.325537 \nL 230.3161 174.76166 \nL 231.725052 176.055548 \nL 233.298125 177.195518 \nL 235.040444 178.168051 \nL 236.95778 178.957608 \nL 239.056355 179.546409 \nL 241.342596 179.914267 \nL 243.822839 180.038408 \nL 246.502961 179.893417 \nL 249.387916 179.451175 \nL 252.48119 178.681043 \nL 255.784133 177.550133 \nL 259.29517 176.023905 \nL 263.008897 174.06706 \nL 266.915008 171.644894 \nL 270.997164 168.725103 \nL 275.231748 165.280189 \nL 279.586614 161.290469 \nL 284.019919 156.747666 \nL 288.479171 151.658927 \nL 292.900632 146.051093 \nL 297.209312 139.974694 \nL 301.319743 133.507196 \nL 305.137722 126.754751 \nL 308.563216 119.851727 \nL 311.494382 112.957363 \nL 313.832658 106.249219 \nL 315.488574 99.913469 \nL 316.387834 94.132829 \nL 316.476961 89.073361 \nL 315.727909 84.871853 \nL 314.140938 81.625732 \nL 311.745373 79.386782 \nL 308.598071 78.159767 \nL 304.779815 77.905764 \nL 300.390012 78.549508 \nL 295.540486 79.989132 \nL 290.348913 82.107004 \nL 284.932705 84.779862 \nL 279.403731 87.887433 \nL 273.864232 91.318741 \nL 268.404042 94.976112 \nL 263.099009 98.777105 \nL 258.010538 102.654722 \nL 253.185959 106.556404 \nL 248.659526 110.442383 \nL 244.453793 114.283659 \nL 240.581245 118.059947 \nL 237.045939 121.757754 \nL 233.845146 125.368719 \nL 230.970861 128.8882 \nL 228.411149 132.314159 \nL 226.151332 135.6463 \nL 224.174998 138.885436 \nL 222.464824 142.032993 \nL 221.003251 145.090702 \nL 219.773019 148.060373 \nL 218.757578 150.943727 \nL 217.941388 153.742324 \nL 217.310147 156.457465 \nL 216.850937 159.090194 \nL 216.552322 161.641237 \nL 216.404388 164.110987 \nL 216.398776 166.499472 \nL 216.528659 168.806349 \nL 216.788732 171.030822 \nL 217.175173 173.171639 \nL 217.685598 175.22701 \nL 218.319023 177.194514 \nL 219.075821 179.07106 \nL 219.957671 180.852737 \nL 220.967522 182.534705 \nL 222.109546 184.111053 \nL 223.389096 185.574617 \nL 224.81266 186.916792 \nL 226.387803 188.127292 \nL 228.123102 189.193911 \nL 230.028061 190.102231 \nL 232.112991 190.835305 \nL 234.388869 191.373336 \nL 236.867119 191.693318 \nL 239.559366 191.768703 \nL 242.477057 191.569082 \nL 245.631021 191.059928 \nL 249.030855 190.202488 \nL 252.684189 188.953825 \nL 256.595737 187.267183 \nL 260.76615 185.092747 \nL 265.190641 182.378955 \nL 269.857375 179.074553 \nL 274.745653 175.131498 \nL 279.823948 170.50898 \nL 285.047903 165.178458 \nL 290.358414 159.129864 \nL 295.680167 152.378529 \nL 300.920806 144.972399 \nL 305.971192 136.998622 \nL 310.707188 128.58823 \nL 314.993222 119.917519 \nL 318.68787 111.20466 \nL 321.651427 102.700488 \nL 323.754956 94.673406 \nL 324.890117 87.389301 \nL 324.978471 81.088982 \nL 323.979169 75.966535 \nL 321.893665 72.152031 \nL 318.766724 69.701982 \nL 314.683461 68.598668 \nL 309.762914 68.75825 \nL 304.148962 70.045507 \nL 298.000027 72.291979 \nL 291.478787 75.314543 \nL 284.743006 78.931593 \nL 277.938246 82.975241 \nL 271.192769 87.299167 \nL 264.614569 91.782273 \nL 258.290373 96.329009 \nL 252.286094 100.867573 \nL 246.648365 105.34667 \nL 241.40673 109.731804 \nL 236.576165 114.001592 \nL 232.15965 118.144455 \nL 228.150647 122.155781 \nL 224.535348 126.035694 \nL 221.294659 129.787314 \nL 218.405877 133.415492 \nL 215.844086 136.925931 \nL 213.583282 140.324611 \nL 211.597254 143.617397 \nL 209.860256 146.809811 \nL 208.347505 149.906942 \nL 207.035524 152.913422 \nL 205.902377 155.833414 \nL 204.093254 161.428512 \nL 202.778734 166.71789 \nL 201.84422 171.722647 \nL 201.199465 176.460665 \nL 200.775248 180.94754 \nL 200.443339 187.237238 \nL 200.377501 193.035393 \nL 200.513101 198.379679 \nL 200.823628 203.303803 \nL 201.311739 207.837463 \nL 202.004978 212.005826 \nL 202.605755 214.591617 \nL 203.342396 217.027542 \nL 204.243253 219.315138 \nL 205.344085 221.452826 \nL 206.689564 223.434585 \nL 208.335166 225.247935 \nL 210.349494 226.870888 \nL 211.520626 227.600409 \nL 212.817029 228.267368 \nL 214.252257 228.86393 \nL 215.841261 229.380351 \nL 217.600495 229.804569 \nL 219.548005 230.121692 \nL 221.703504 230.313407 \nL 224.088423 230.357264 \nL 226.725914 230.225842 \nL 229.640773 229.885778 \nL 232.859278 229.296668 \nL 236.40888 228.409844 \nL 240.317687 227.167085 \nL 244.613709 225.499328 \nL 249.323729 223.325522 \nL 254.471726 220.551836 \nL 260.076719 217.071571 \nL 266.149907 212.766246 \nL 272.690995 207.508482 \nL 279.683607 201.167541 \nL 287.089782 193.618391 \nL 294.84377 184.755193 \nL 302.845487 174.5098 \nL 310.954446 162.875007 \nL 318.985299 149.930882 \nL 326.706628 135.870641 \nL 333.844925 121.019944 \nL 340.095368 105.841988 \nL 345.140483 90.920465 \nL 348.676236 76.915625 \nL 350.442771 64.495007 \nL 350.255325 54.249365 \nL 348.029269 46.611593 \nL 343.793823 41.798722 \nL 337.690846 39.792054 \nL 329.95913 40.359136 \nL 320.907337 43.108943 \nL 310.881538 47.56344 \nL 300.233216 53.227574 \nL 289.292557 59.644398 \nL 278.34958 66.429376 \nL 257.359809 79.997476 \nL 238.545487 92.504324 \nL 222.458359 103.470735 \nL 209.140798 112.922036 \nL 203.448302 117.144633 \nL 198.339645 121.073192 \nL 193.762824 124.737204 \nL 185.988244 131.373833 \nL 179.698291 137.222016 \nL 174.499359 142.392076 \nL 166.050632 150.906267 \nL 162.2689 154.26585 \nL 160.395766 155.710756 \nL 158.506042 156.991009 \nL 156.581317 158.09883 \nL 154.605341 159.0251 \nL 152.563946 159.759389 \nL 150.445014 160.290034 \nL 148.238477 160.604232 \nL 145.936391 160.688166 \nL 143.533049 160.527206 \nL 141.025166 160.106196 \nL 138.412119 159.409836 \nL 135.696218 158.423199 \nL 132.883055 157.132392 \nL 129.981868 155.525349 \nL 127.005915 153.592846 \nL 123.972851 151.32964 \nL 120.905054 148.735759 \nL 117.829862 145.817892 \nL 114.779668 142.590793 \nL 111.79183 139.078613 \nL 108.908339 135.315941 \nL 106.175137 131.348544 \nL 103.641167 127.233429 \nL 101.356992 123.038266 \nL 99.373102 118.839858 \nL 97.737936 114.721787 \nL 96.495663 110.771163 \nL 95.683977 107.074686 \nL 95.331942 103.714376 \nL 95.458178 100.763316 \nL 96.069525 98.281787 \nL 97.160289 96.314331 \nL 98.71225 94.887872 \nL 100.695343 94.011234 \nL 103.069011 93.675995 \nL 105.784115 93.858331 \nL 108.785186 94.521919 \nL 112.012855 95.621119 \nL 115.40625 97.104413 \nL 118.905237 98.917608 \nL 122.452329 101.006525 \nL 125.994216 103.319239 \nL 129.482888 105.807618 \nL 132.876333 108.428319 \nL 136.138848 111.143231 \nL 139.241061 113.919534 \nL 142.159684 116.72945 \nL 144.877069 119.549806 \nL 147.380646 122.361492 \nL 149.662278 125.148837 \nL 151.717612 127.899065 \nL 153.545393 130.601701 \nL 155.146859 133.248093 \nL 156.525137 135.830989 \nL 157.684738 138.344151 \nL 158.631082 140.782038 \nL 159.370113 143.139551 \nL 159.907958 145.411799 \nL 160.250667 147.593932 \nL 160.403982 149.680955 \nL 160.373185 151.667606 \nL 160.162968 153.5482 \nL 159.777363 155.316538 \nL 159.21969 156.965777 \nL 158.492556 158.488322 \nL 157.597884 159.875732 \nL 156.53696 161.118601 \nL 155.310529 162.206491 \nL 153.918903 163.127814 \nL 152.362122 163.869806 \nL 150.640131 164.418439 \nL 148.75301 164.758452 \nL 146.701247 164.873388 \nL 144.486047 164.745688 \nL 142.109699 164.356905 \nL 139.576002 163.688015 \nL 136.890714 162.719884 \nL 134.062101 161.433851 \nL 131.101468 159.812599 \nL 128.023764 157.841124 \nL 124.848171 155.508059 \nL 121.598663 152.807098 \nL 118.304481 149.738691 \nL 115.000497 146.311823 \nL 111.727383 142.545793 \nL 108.531471 138.471842 \nL 105.4643 134.134453 \nL 102.581728 129.592013 \nL 99.94259 124.916678 \nL 97.606877 120.193166 \nL 95.633496 115.516386 \nL 94.077647 110.98785 \nL 92.98807 106.711058 \nL 92.404282 102.786163 \nL 92.354094 99.304401 \nL 92.851634 96.342845 \nL 93.896139 93.960196 \nL 95.471559 92.193848 \nL 97.547187 91.058767 \nL 100.079099 90.548139 \nL 103.01238 90.635652 \nL 106.283868 91.278917 \nL 109.82516 92.423643 \nL 113.565645 94.008095 \nL 117.435326 95.967208 \nL 121.367243 98.236165 \nL 125.299411 100.75325 \nL 129.176218 103.461798 \nL 132.949297 106.311366 \nL 136.577899 109.258254 \nL 140.028901 112.265491 \nL 143.276445 115.302408 \nL 146.301395 118.344023 \nL 149.090602 121.370281 \nL 151.636115 124.365251 \nL 153.934358 127.316378 \nL 155.985327 130.213788 \nL 157.791825 133.049692 \nL 159.358765 135.817842 \nL 160.692549 138.51311 \nL 161.800533 141.131142 \nL 162.690572 143.668043 \nL 163.370633 146.120168 \nL 163.848481 148.483899 \nL 164.131435 150.755507 \nL 164.226179 152.93099 \nL 164.138618 155.005957 \nL 163.873791 156.975518 \nL 163.435805 158.834143 \nL 162.827818 160.575584 \nL 162.052041 162.192741 \nL 161.10978 163.677557 \nL 160.00149 165.020876 \nL 158.726875 166.212343 \nL 157.284991 167.240287 \nL 155.674411 168.091608 \nL 153.893402 168.751675 \nL 151.940137 169.204251 \nL 149.812986 169.431491 \nL 147.51081 169.413952 \nL 145.033357 169.130699 \nL 142.381693 168.559541 \nL 139.558712 167.677391 \nL 136.56972 166.460806 \nL 133.423077 164.886765 \nL 130.130912 162.933719 \nL 126.709852 160.582894 \nL 123.181802 157.81994 \nL 119.574646 154.636884 \nL 115.922898 151.03433 \nL 112.268132 147.023837 \nL 108.65917 142.630291 \nL 105.151895 137.894005 \nL 101.808566 132.872342 \nL 98.696583 127.640393 \nL 95.88661 122.290494 \nL 93.450064 116.930138 \nL 91.456047 111.678287 \nL 89.967883 106.660068 \nL 89.039487 102.000109 \nL 88.711944 97.815231 \nL 89.010537 94.207156 \nL 89.942675 91.256144 \nL 91.496913 89.01639 \nL 93.643212 87.513652 \nL 96.334417 86.745405 \nL 99.508838 86.683287 \nL 103.093625 87.277466 \nL 107.008606 88.462188 \nL 111.170194 90.161652 \nL 115.495076 92.295675 \nL 119.9034 94.784533 \nL 124.321339 97.55277 \nL 128.682891 100.531817 \nL 132.931023 103.661481 \nL 137.018141 106.890485 \nL 140.906035 110.176315 \nL 144.565425 113.484592 \nL 147.975216 116.788123 \nL 151.121557 120.06582 \nL 153.996829 123.301627 \nL 156.598586 126.483524 \nL 158.928573 129.602625 \nL 160.991772 132.652412 \nL 162.795557 135.628101 \nL 164.348954 138.526123 \nL 165.661997 141.343733 \nL 166.745194 144.078661 \nL 167.609078 146.7289 \nL 168.263851 149.292478 \nL 168.719112 151.767328 \nL 168.983628 154.151144 \nL 169.065192 156.441285 \nL 168.970499 158.634651 \nL 168.705086 160.727597 \nL 168.273289 162.715836 \nL 167.678243 164.594345 \nL 166.921889 166.357228 \nL 166.005017 167.997617 \nL 164.927322 169.507512 \nL 163.687483 170.87768 \nL 162.283257 172.097451 \nL 160.711607 173.154607 \nL 158.968849 174.035197 \nL 157.050839 174.723376 \nL 154.953199 175.20129 \nL 152.671582 175.448939 \nL 150.202019 175.444136 \nL 147.54131 175.162528 \nL 144.687505 174.577736 \nL 141.640482 173.661637 \nL 138.40261 172.384857 \nL 134.979516 170.717543 \nL 131.380958 168.630462 \nL 127.621768 166.096489 \nL 123.722869 163.092497 \nL 119.712278 159.601788 \nL 115.626071 155.6169 \nL 111.509156 151.142779 \nL 107.415791 146.20015 \nL 103.409649 140.828732 \nL 99.563297 135.089935 \nL 95.956906 129.068535 \nL 92.676146 122.872742 \nL 89.809094 116.632206 \nL 87.442373 110.493584 \nL 85.656568 104.613691 \nL 84.521326 99.150541 \nL 84.090608 94.253123 \nL 84.398506 90.051118 \nL 85.456286 86.645721 \nL 87.2509 84.103184 \nL 89.745297 82.451486 \nL 92.880503 81.680903 \nL 96.579161 81.747978 \nL 100.750217 82.582018 \nL 105.294147 84.093233 \nL 110.1082 86.181118 \nL 115.091218 88.742179 \nL 120.147697 91.676255 \nL 125.190868 94.891221 \nL 130.144733 98.305823 \nL 134.945193 101.851033 \nL 139.540313 105.470112 \nL 143.889948 109.117895 \nL 147.964885 112.759479 \nL 151.745687 116.368683 \nL 155.221357 119.926456 \nL 158.387981 123.419404 \nL 161.247367 126.838465 \nL 163.805792 130.177801 \nL 166.072873 133.433883 \nL 168.060564 136.604777 \nL 169.782311 139.689613 \nL 171.252331 142.688142 \nL 172.485034 145.600469 \nL 173.494554 148.426805 \nL 174.294382 151.167322 \nL 174.897094 153.822019 \nL 175.314142 156.390678 \nL 175.555711 158.872742 \nL 175.630634 161.267275 \nL 175.546322 163.572917 \nL 175.308755 165.787803 \nL 174.922471 167.909502 \nL 174.390583 169.934914 \nL 173.714815 171.860212 \nL 172.895532 173.680716 \nL 171.931799 175.390782 \nL 170.821427 176.983626 \nL 169.561051 178.451209 \nL 168.146195 179.784012 \nL 166.571369 180.970878 \nL 164.830173 181.998745 \nL 162.915436 182.852448 \nL 160.819382 183.514448 \nL 158.533841 183.964589 \nL 156.050519 184.179883 \nL 153.361323 184.134304 \nL 150.458802 183.798654 \nL 147.336652 183.140567 \nL 143.990374 182.124656 \nL 140.418061 180.712885 \nL 136.621332 178.865321 \nL 132.606434 176.541231 \nL 128.385511 173.7008 \nL 123.977976 170.307441 \nL 119.412018 166.330839 \nL 114.726055 161.750795 \nL 109.970113 156.561723 \nL 105.206883 150.777667 \nL 100.512241 144.437486 \nL 95.975021 137.609517 \nL 91.695723 130.395014 \nL 87.783906 122.929339 \nL 84.35424 115.380027 \nL 81.521059 107.940991 \nL 79.391883 100.82264 \nL 78.060165 94.238369 \nL 77.598237 88.388856 \nL 78.051063 83.446064 \nL 79.431871 79.539283 \nL 81.720145 76.745614 \nL 84.862444 75.086088 \nL 88.775912 74.528058 \nL 93.354031 74.99293 \nL 98.473802 76.367642 \nL 104.003557 78.517798 \nL 109.810421 81.300502 \nL 115.76685 84.575309 \nL 121.75576 88.212395 \nL 127.674064 92.097801 \nL 133.434717 96.135937 \nL 138.967372 100.249856 \nL 144.218007 104.380078 \nL 149.147782 108.482448 \nL 153.731392 112.525627 \nL 157.955178 116.488508 \nL 161.815163 120.357867 \nL 165.31515 124.126309 \nL 168.464953 127.790569 \nL 171.278835 131.350218 \nL 173.774145 134.806634 \nL 175.970176 138.162265 \nL 177.887233 141.420117 \nL 179.545871 144.583414 \nL 180.966311 147.655342 \nL 182.167996 150.638935 \nL 183.169261 153.536995 \nL 183.987104 156.352041 \nL 184.637039 159.0863 \nL 185.133008 161.741715 \nL 185.487341 164.319942 \nL 185.71076 166.822358 \nL 185.799833 171.603903 \nL 185.455038 176.091764 \nL 184.708187 180.286392 \nL 184.188085 182.272291 \nL 183.569871 184.182261 \nL 182.851805 186.014386 \nL 182.030983 187.766127 \nL 181.103369 189.434198 \nL 180.063804 191.01444 \nL 178.906022 192.501677 \nL 177.622654 193.889536 \nL 176.205244 195.170239 \nL 174.644251 196.33436 \nL 172.92907 197.370552 \nL 171.048068 198.265213 \nL 168.988637 199.002128 \nL 166.737282 199.562076 \nL 164.279751 199.922361 \nL 161.601244 200.056352 \nL 158.686668 199.932996 \nL 155.521044 199.516354 \nL 152.090015 198.765191 \nL 148.380542 197.632707 \nL 144.381811 196.066512 \nL 140.086374 194.008921 \nL 135.491596 191.397836 \nL 130.601411 188.168335 \nL 125.428396 184.255277 \nL 119.99618 179.597151 \nL 114.342044 174.141454 \nL 108.519652 167.851632 \nL 102.601567 160.715646 \nL 96.681311 152.755677 \nL 90.874333 144.03811 \nL 85.317483 134.682455 \nL 80.166257 124.867124 \nL 75.589456 114.829949 \nL 71.760909 104.861169 \nL 68.848647 95.287755 \nL 67.002177 86.449339 \nL 66.339381 78.668175 \nL 66.934761 72.217555 \nL 68.810994 67.294341 \nL 71.935243 64.000722 \nL 76.221024 62.338824 \nL 81.535335 62.218549 \nL 87.709892 63.476278 \nL 94.554665 65.899841 \nL 101.871753 69.254889 \nL 109.46796 73.308163 \nL 117.164805 77.8451 \nL 124.805531 82.680879 \nL 132.259056 87.665293 \nL 139.421268 92.682852 \nL 146.214306 97.649679 \nL 152.584399 102.508689 \nL 158.498884 107.224202 \nL 163.942867 111.776727 \nL 168.915855 116.158407 \nL 173.428603 120.369282 \nL 177.500284 124.414385 \nL 181.156057 128.301599 \nL 184.425038 132.040139 \nL 187.338652 135.639554 \nL 189.929337 139.109078 \nL 192.229545 142.457294 \nL 194.271003 145.691924 \nL 196.084192 148.819808 \nL 199.139478 154.778324 \nL 201.604242 160.371212 \nL 203.657047 165.626403 \nL 209.565483 181.588437 \nL 211.325689 185.477967 \nL 213.279769 189.059671 \nL 214.355262 190.729325 \nL 215.510351 192.313571 \nL 216.755858 193.80775 \nL 218.103008 195.206063 \nL 219.563537 196.501353 \nL 221.149762 197.684889 \nL 222.874651 198.746078 \nL 224.751864 199.672161 \nL 226.795773 200.447853 \nL 229.02144 201.054925 \nL 231.44455 201.471773 \nL 234.081284 201.672911 \nL 236.948104 201.62847 \nL 240.061441 201.303685 \nL 243.437254 200.65842 \nL 247.09041 199.646795 \nL 251.033865 198.217002 \nL 255.277612 196.311444 \nL 259.827314 193.867333 \nL 264.682628 190.817971 \nL 269.835184 187.094994 \nL 275.266197 182.631815 \nL 280.943808 177.368553 \nL 286.820237 171.258694 \nL 292.828977 164.277477 \nL 298.882375 156.431745 \nL 304.87004 147.770632 \nL 310.658668 138.395706 \nL 316.093926 128.468759 \nL 321.004997 118.214831 \nL 325.212087 107.917988 \nL 328.536944 97.908217 \nL 330.815709 88.538793 \nL 331.912818 80.156158 \nL 331.734165 73.066235 \nL 330.237412 67.50299 \nL 327.43772 63.605279 \nL 323.407696 61.406612 \nL 318.271518 60.839244 \nL 312.194221 61.751094 \nL 305.367906 63.931045 \nL 297.996985 67.137075 \nL 290.284376 71.122432 \nL 282.42012 75.656097 \nL 274.573125 80.536349 \nL 266.886221 85.597483 \nL 259.47414 90.710917 \nL 252.423856 95.78248 \nL 245.796553 100.747566 \nL 239.630634 105.565356 \nL 233.945182 110.213191 \nL 228.743527 114.681533 \nL 224.016616 118.969788 \nL 219.74606 123.083065 \nL 215.906766 127.029747 \nL 212.469148 130.819784 \nL 209.400908 134.463539 \nL 206.66847 137.97105 \nL 204.238061 141.351646 \nL 202.076529 144.613689 \nL 200.151921 147.764566 \nL 196.893856 153.757432 \nL 194.243534 159.370807 \nL 192.011654 164.633345 \nL 186.343112 178.469035 \nL 184.403167 182.443375 \nL 182.273075 186.085087 \nL 181.10825 187.77417 \nL 179.861722 189.369908 \nL 178.521889 190.866833 \nL 177.076839 192.258208 \nL 175.514263 193.535797 \nL 173.82138 194.689622 \nL 171.984881 195.707687 \nL 169.990908 196.575642 \nL 167.825065 197.276442 \nL 165.472471 197.789921 \nL 162.91788 198.092378 \nL 160.145865 198.156123 \nL 157.141113 197.949029 \nL 153.888818 197.434129 \nL 150.375247 196.569312 \nL 146.588462 195.307168 \nL 142.519288 193.59513 \nL 138.162515 191.376015 \nL 133.518394 188.589173 \nL 128.594431 185.172428 \nL 123.407495 181.065079 \nL 117.986171 176.212163 \nL 112.373276 170.57017 \nL 106.628346 164.114259 \nL 100.829843 156.846823 \nL 95.076673 148.806728 \nL 89.488514 140.078416 \nL 84.204472 130.799145 \nL 79.379478 121.162561 \nL 75.178122 111.416447 \nL 71.765847 101.853033 \nL 69.297943 92.791147 \nL 67.907318 84.55135 \nL 67.692419 77.426827 \nL 68.707217 71.654818 \nL 70.954722 67.393546 \nL 74.385316 64.709206 \nL 78.90028 63.575043 \nL 84.359893 63.882246 \nL 90.594904 65.459675 \nL 97.419504 68.097858 \nL 104.644154 71.573047 \nL 112.086803 75.667503 \nL 119.581511 80.184251 \nL 126.984237 84.95573 \nL 134.175891 89.847139 \nL 141.06299 94.755694 \nL 147.576604 99.607299 \nL 153.670112 104.351861 \nL 159.31626 108.958333 \nL 164.503999 113.409977 \nL 169.235335 117.700299 \nL 173.522397 121.829709 \nL 177.384845 125.802981 \nL 180.847626 129.627369 \nL 183.939133 133.311264 \nL 186.689696 136.863344 \nL 189.130403 140.292011 \nL 191.292197 143.605063 \nL 193.20521 146.809562 \nL 194.898289 149.911784 \nL 197.73187 155.830773 \nL 199.989156 161.398142 \nL 201.836879 166.641085 \nL 204.837479 176.230028 \nL 206.892253 182.685307 \nL 208.328033 186.649738 \nL 209.902483 190.342101 \nL 211.686549 193.754339 \nL 213.753117 196.869421 \nL 214.916536 198.306964 \nL 216.180594 199.658024 \nL 217.556483 200.916222 \nL 219.056118 202.073717 \nL 220.692207 203.120931 \nL 222.478313 204.04623 \nL 224.428879 204.835566 \nL 226.559249 205.472071 \nL 228.885624 205.93557 \nL 231.424987 206.202064 \nL 234.194944 206.243151 \nL 237.213476 206.025422 \nL 240.498585 205.509862 \nL 244.067758 204.651274 \nL 247.937264 203.39786 \nL 252.12118 201.690995 \nL 256.630153 199.465412 \nL 261.469789 196.649969 \nL 266.638666 193.169269 \nL 272.125932 188.946448 \nL 277.908475 183.907504 \nL 283.947808 177.987467 \nL 290.186716 171.138648 \nL 296.546092 163.341007 \nL 302.922274 154.614102 \nL 309.185601 145.029704 \nL 315.18079 134.723188 \nL 320.730059 123.901173 \nL 325.63951 112.842379 \nL 329.709189 101.888848 \nL 332.746426 91.425811 \nL 334.581459 81.850762 \nL 335.083457 73.535221 \nL 334.174567 66.785206 \nL 331.839479 61.808236 \nL 328.128725 58.69347 \nL 323.154972 57.409065 \nL 317.082874 57.816239 \nL 310.114331 59.696144 \nL 302.471554 62.782702 \nL 294.380507 66.795119 \nL 286.056616 71.464656 \nL 277.694055 76.55325 \nL 269.458901 81.863583 \nL 261.485935 87.241852 \nL 253.878409 92.575341 \nL 246.709958 97.786966 \nL 240.027855 102.828456 \nL 233.856925 107.673534 \nL 228.203635 112.311754 \nL 223.059998 116.743391 \nL 218.407107 120.975441 \nL 214.218192 125.018678 \nL 210.461173 128.885578 \nL 207.10074 132.588916 \nL 204.099979 136.14091 \nL 201.421635 139.552737 \nL 199.029037 142.83429 \nL 196.886762 145.994132 \nL 193.220219 151.976484 \nL 190.17641 157.543882 \nL 181.63271 174.052449 \nL 179.170635 177.920335 \nL 177.858471 179.701619 \nL 176.473911 181.37477 \nL 175.003551 182.93355 \nL 173.434102 184.370318 \nL 171.752286 185.675841 \nL 169.94476 186.839082 \nL 167.998084 187.846918 \nL 165.898702 188.683877 \nL 163.632988 189.331825 \nL 161.187344 189.769657 \nL 158.548377 189.972961 \nL 155.703133 189.913747 \nL 152.639468 189.56018 \nL 149.346527 188.87645 \nL 145.815373 187.822772 \nL 142.039789 186.355667 \nL 138.017277 184.428542 \nL 133.750274 181.992798 \nL 129.247572 178.999527 \nL 124.525957 175.402006 \nL 119.611999 171.159096 \nL 114.543929 166.23968 \nL 109.37344 160.628105 \nL 104.167234 154.330456 \nL 99.00802 147.381236 \nL 93.994612 139.849826 \nL 89.240802 131.845565 \nL 84.872644 123.520322 \nL 81.023893 115.067111 \nL 77.829583 106.713651 \nL 75.41801 98.710433 \nL 73.901709 91.313708 \nL 73.368395 84.765165 \nL 73.872963 79.271042 \nL 75.431805 74.983897 \nL 78.020267 71.990344 \nL 81.573769 70.306515 \nL 85.992456 69.882002 \nL 91.148685 70.610905 \nL 96.896267 72.347456 \nL 103.080277 74.923444 \nL 109.546293 78.164551 \nL 116.148168 81.903694 \nL 122.753931 85.990477 \nL 129.249573 90.296567 \nL 135.540943 94.717631 \nL 141.554031 99.172682 \nL 147.234038 103.601727 \nL 152.54361 107.962529 \nL 157.460614 112.227169 \nL 161.975729 116.378768 \nL 166.090032 120.408542 \nL 169.812745 124.313448 \nL 173.159206 128.094251 \nL 176.149106 131.75412 \nL 178.805004 135.297579 \nL 181.151109 138.729787 \nL 183.212302 142.056062 \nL 185.013375 145.281583 \nL 186.578451 148.411218 \nL 187.930572 151.449456 \nL 189.091404 154.400372 \nL 190.08105 157.267642 \nL 191.618834 162.764185 \nL 192.671077 167.961917 \nL 193.338716 172.879697 \nL 193.698813 177.533455 \nL 193.807549 181.936895 \nL 193.703227 186.101908 \nL 193.408952 190.03872 \nL 192.934776 193.755841 \nL 192.279246 197.259778 \nL 191.430351 200.554564 \nL 190.365864 203.640979 \nL 189.053123 206.515339 \nL 187.448279 209.167745 \nL 186.519252 210.405309 \nL 185.495024 211.579482 \nL 184.36633 212.68592 \nL 183.122893 213.719155 \nL 181.753351 214.672369 \nL 180.245192 215.537129 \nL 178.584686 216.303051 \nL 176.756819 216.95742 \nL 174.74526 217.48474 \nL 172.532337 217.866189 \nL 170.099057 218.079 \nL 167.425178 218.095769 \nL 164.489363 217.883633 \nL 161.269435 217.403432 \nL 157.742776 216.6088 \nL 153.886927 215.445253 \nL 149.680422 213.849433 \nL 145.103959 211.74857 \nL 140.141951 209.060397 \nL 134.784582 205.693857 \nL 129.030403 201.550961 \nL 122.889554 196.530283 \nL 116.387609 190.53268 \nL 109.569972 183.46985 \nL 102.506575 175.276067 \nL 95.296485 165.923244 \nL 88.071721 155.438621 \nL 80.999376 143.923404 \nL 74.280799 131.569306 \nL 68.146693 118.668603 \nL 62.847081 105.612691 \nL 58.63585 92.874583 \nL 55.750594 80.973358 \nL 54.389878 70.423058 \nL 54.691236 61.673647 \nL 56.71387 55.055676 \nL 60.429553 50.741242 \nL 65.723829 48.730288 \nL 72.407339 48.864456 \nL 80.235129 50.863297 \nL 88.930113 54.372836 \nL 98.206795 59.014892 \nL 107.791846 64.42822 \nL 117.439564 70.296678 \nL 126.941508 76.363681 \nL 136.130754 82.435315 \nL 144.88184 88.375575 \nL 160.755 99.551228 \nL 167.798342 104.716552 \nL 174.234871 109.591292 \nL 180.078964 114.185641 \nL 185.357649 118.51658 \nL 190.10675 122.604157 \nL 194.367746 126.468971 \nL 198.185285 130.13061 \nL 201.605274 133.606784 \nL 204.673468 136.912909 \nL 209.930917 143.064601 \nL 214.289371 148.662322 \nL 223.066904 160.460467 \nL 226.314005 164.304556 \nL 227.971166 166.026353 \nL 229.67574 167.606422 \nL 231.444821 169.036785 \nL 233.294323 170.307919 \nL 235.239087 171.408612 \nL 237.292924 172.325858 \nL 239.46862 173.044733 \nL 241.777873 173.54829 \nL 244.231195 173.817478 \nL 246.837698 173.831132 \nL 249.604837 173.566029 \nL 252.538045 172.997044 \nL 255.640262 172.097489 \nL 258.911387 170.839626 \nL 262.347602 169.195448 \nL 265.9406 167.13781 \nL 269.676745 164.641861 \nL 273.536185 161.686936 \nL 277.491927 158.258881 \nL 281.509017 154.352721 \nL 285.543881 149.975681 \nL 289.54393 145.150294 \nL 293.447613 139.917341 \nL 297.184998 134.338251 \nL 300.679129 128.496478 \nL 303.848124 122.497344 \nL 306.608153 116.465955 \nL 308.877158 110.542861 \nL 310.579188 104.877473 \nL 311.648982 99.619642 \nL 312.036417 94.910167 \nL 311.710322 90.871226 \nL 310.661214 87.598046 \nL 308.902586 85.152877 \nL 306.470571 83.562167 \nL 303.42197 82.817018 \nL 299.830896 82.876859 \nL 295.784392 83.675515 \nL 291.377581 85.12865 \nL 286.708708 87.141556 \nL 281.874628 89.616329 \nL 276.967007 92.457841 \nL 272.06935 95.578137 \nL 267.255053 98.899179 \nL 262.586298 102.354255 \nL 258.11375 105.888136 \nL 253.876867 109.456464 \nL 249.904666 113.024629 \nL 246.216781 116.566337 \nL 242.824712 120.062165 \nL 239.73311 123.4982 \nL 236.941048 126.864749 \nL 234.443222 130.155325 \nL 232.231038 133.365746 \nL 230.293564 136.493458 \nL 228.618365 139.536987 \nL 227.19219 142.495539 \nL 226.00155 145.368674 \nL 225.033167 148.156114 \nL 224.27435 150.857544 \nL 223.713263 153.472504 \nL 223.339131 156.000287 \nL 223.142392 158.439867 \nL 223.114788 160.789811 \nL 223.249427 163.048214 \nL 223.540808 165.212646 \nL 223.984831 167.280044 \nL 224.578773 169.246639 \nL 225.321265 171.107848 \nL 226.212245 172.858159 \nL 227.252909 174.490988 \nL 228.44564 175.998558 \nL 229.793939 177.371682 \nL 231.302327 178.599615 \nL 232.976232 179.669842 \nL 234.821864 180.567856 \nL 236.846043 181.276933 \nL 239.055981 181.777911 \nL 241.459034 182.048998 \nL 244.062381 182.065585 \nL 246.872607 181.800162 \nL 249.895218 181.222297 \nL 253.134026 180.298812 \nL 256.590417 178.99414 \nL 260.262477 177.271013 \nL 264.143969 175.091502 \nL 268.223185 172.418576 \nL 272.481651 169.218211 \nL 276.89279 165.462161 \nL 281.420541 161.131403 \nL 286.018133 156.220236 \nL 290.627113 150.740791 \nL 295.176795 144.727725 \nL 299.58446 138.242515 \nL 303.756459 131.376675 \nL 307.590455 124.253071 \nL 310.978938 117.02454 \nL 313.81403 109.869102 \nL 315.99333 102.981512 \nL 317.426433 96.56154 \nL 318.04153 90.799923 \nL 317.791246 85.863829 \nL 316.657045 81.883696 \nL 314.651534 78.94363 \nL 311.818256 77.076623 \nL 308.229044 76.265414 \nL 303.979192 76.448228 \nL 299.181131 77.528463 \nL 293.957363 79.386322 \nL 288.433465 81.890547 \nL 282.73176 84.908998 \nL 276.966226 88.31692 \nL 271.238744 92.002538 \nL 265.636769 95.870203 \nL 260.232331 99.841304 \nL 255.082036 103.853701 \nL 250.227897 107.86009 \nL 245.698698 111.825841 \nL 241.51165 115.726709 \nL 237.674213 119.546581 \nL 234.18587 123.275543 \nL 231.039826 126.90819 \nL 228.224534 130.442281 \nL 225.725054 133.877704 \nL 223.524186 137.215691 \nL 221.603444 140.458262 \nL 219.943826 143.60781 \nL 218.526435 146.666849 \nL 217.332957 149.637811 \nL 216.346027 152.522983 \nL 215.549481 155.324393 \nL 214.928538 158.043821 \nL 214.469913 160.682741 \nL 214.161878 163.242348 \nL 213.994288 165.723513 \nL 213.958572 168.126791 \nL 214.047713 170.452393 \nL 214.256202 172.700184 \nL 214.580003 174.86962 \nL 215.016494 176.959724 \nL 215.56443 178.969013 \nL 216.223883 180.89544 \nL 216.996211 182.736311 \nL 217.884019 184.488167 \nL 218.891118 186.146674 \nL 220.022505 187.706473 \nL 221.284327 189.16101 \nL 222.683853 190.502334 \nL 224.229449 191.720875 \nL 225.930521 192.805186 \nL 227.797469 193.741628 \nL 229.841602 194.514047 \nL 232.075021 195.103423 \nL 234.51046 195.487451 \nL 237.161067 195.640148 \nL 240.040097 195.531465 \nL 243.160506 195.126894 \nL 246.534416 194.387203 \nL 250.172417 193.268307 \nL 254.082681 191.721382 \nL 258.269842 189.693348 \nL 262.73363 187.127862 \nL 267.467235 183.967043 \nL 272.455394 180.15409 \nL 277.672247 175.637025 \nL 283.079036 170.373731 \nL 288.621814 164.338313 \nL 294.229389 157.528677 \nL 299.811796 149.974878 \nL 305.259793 141.747424 \nL 310.445802 132.964275 \nL 315.226765 123.794878 \nL 319.449278 114.459383 \nL 322.957147 105.221505 \nL 325.601027 96.374171 \nL 327.249452 88.218442 \nL 327.800028 81.037945 \nL 327.189283 75.072405 \nL 325.399688 70.494897 \nL 322.462543 67.396838 \nL 318.456288 65.783508 \nL 313.500373 65.580409 \nL 307.745657 66.648531 \nL 301.362838 68.805116 \nL 294.530462 71.845708 \nL 287.423994 75.564087 \nL 280.20686 79.767777 \nL 273.024052 84.288199 \nL 265.998292 88.985714 \nL 259.228518 93.750514 \nL 252.790195 98.500578 \nL 246.736927 103.177999 \nL 241.102908 107.744532 \nL 235.905771 112.177222 \nL 231.14952 116.464434 \nL 226.827354 120.602455 \nL 222.924233 124.592883 \nL 219.41913 128.440561 \nL 216.286929 132.152127 \nL 213.500002 135.734999 \nL 211.029457 139.196706 \nL 208.846129 142.544482 \nL 206.92132 145.785024 \nL 205.227341 148.924419 \nL 203.737887 151.968102 \nL 201.275616 157.787063 \nL 199.358486 163.274124 \nL 197.838912 168.454595 \nL 196.045643 175.693565 \nL 192.645212 190.348847 \nL 191.590733 194.00396 \nL 190.402875 197.431005 \nL 189.029883 200.628318 \nL 187.415996 203.588396 \nL 185.498614 206.295619 \nL 184.403989 207.546512 \nL 183.205493 208.722895 \nL 181.892131 209.818794 \nL 180.451961 210.826797 \nL 178.87202 211.737772 \nL 177.138253 212.540547 \nL 175.235457 213.221497 \nL 173.147253 213.764107 \nL 170.856081 214.148422 \nL 168.34325 214.350445 \nL 165.589045 214.341451 \nL 162.572922 214.087237 \nL 159.273823 213.54733 \nL 155.670653 212.674174 \nL 151.742946 211.412408 \nL 147.471806 209.698284 \nL 142.841173 207.459449 \nL 137.839483 204.615249 \nL 132.461798 201.077932 \nL 126.71248 196.755074 \nL 120.608405 191.553758 \nL 114.182686 185.386966 \nL 107.488829 178.182643 \nL 100.604979 169.895674 \nL 93.637762 160.522527 \nL 86.725126 150.117619 \nL 80.037117 138.809444 \nL 73.773644 126.813223 \nL 68.15813 114.436084 \nL 63.426444 102.070332 \nL 59.811186 90.17168 \nL 57.522334 79.222128 \nL 56.726657 69.681028 \nL 57.529021 61.932626 \nL 59.958888 56.240475 \nL 63.965022 52.719071 \nL 69.419331 51.3288 \nL 76.1294 51.894159 \nL 83.857204 54.139597 \nL 92.340656 57.733376 \nL 101.314548 62.33027 \nL 110.528262 67.605774 \nL 119.758667 73.278769 \nL 128.817888 79.122502 \nL 137.556439 84.966044 \nL 145.862715 90.689522 \nL 153.659956 96.215814 \nL 160.901807 101.501212 \nL 167.567235 106.526521 \nL 173.655478 111.289379 \nL 179.18133 115.798128 \nL 184.171017 120.067227 \nL 188.658712 124.113937 \nL 192.683688 127.95617 \nL 196.288067 131.611082 \nL 199.515081 135.094279 \nL 202.407781 138.419445 \nL 207.356224 144.640241 \nL 211.445572 150.343261 \nL 221.120759 164.657238 \nL 224.158303 168.497873 \nL 225.733928 170.22942 \nL 227.370262 171.82678 \nL 229.083208 173.281934 \nL 230.887861 174.585266 \nL 232.798596 175.725428 \nL 234.829108 176.689139 \nL 236.99242 177.461051 \nL 239.300826 178.023559 \nL 241.765773 178.356635 \nL 244.397663 178.437756 \nL 247.205583 178.241805 \nL 250.196926 177.741176 \nL 253.376911 176.90595 \nL 256.74797 175.704291 \nL 260.309029 174.103123 \nL 264.05463 172.069148 \nL 267.973967 169.570271 \nL 272.049787 166.577541 \nL 276.257276 163.067609 \nL 280.562921 159.025751 \nL 284.923497 154.449401 \nL 289.285326 149.352032 \nL 293.583886 143.767047 \nL 297.744115 137.751369 \nL 301.681416 131.388023 \nL 305.303694 124.78716 \nL 308.514427 118.084786 \nL 311.216808 111.438713 \nL 313.318767 105.021516 \nL 314.738571 99.010766 \nL 315.410445 93.577345 \nL 315.289708 88.873151 \nL 314.356675 85.019819 \nL 312.618879 82.100115 \nL 310.111215 80.153192 \nL 306.894016 79.174325 \nL 303.049258 79.118962 \nL 298.675318 79.910097 \nL 293.881031 81.447683 \nL 288.779578 83.61864 \nL 283.482829 86.3061 \nL 278.09662 89.397002 \nL 272.717106 92.787683 \nL 267.428337 96.387261 \nL 262.300972 100.119151 \nL 257.391956 103.921158 \nL 252.744972 107.744436 \nL 248.391436 111.551917 \nL 244.351847 115.316426 \nL 240.637306 119.018807 \nL 237.251093 122.646162 \nL 234.190186 126.19031 \nL 231.446687 129.646515 \nL 229.009084 133.012471 \nL 226.863355 136.287489 \nL 224.993907 139.471932 \nL 223.384356 142.566747 \nL 222.018153 145.57317 \nL 220.87909 148.492521 \nL 219.951678 151.326042 \nL 219.221441 154.074797 \nL 218.675121 156.739618 \nL 218.300821 159.321032 \nL 218.088096 161.819257 \nL 218.027998 164.234132 \nL 218.113102 166.565102 \nL 218.337496 168.811152 \nL 218.696756 170.97079 \nL 219.187923 173.041949 \nL 219.809458 175.021911 \nL 220.561203 176.907251 \nL 221.44433 178.693692 \nL 222.4613 180.376 \nL 223.61581 181.947803 \nL 224.912744 183.401459 \nL 226.358105 184.727827 \nL 227.958959 185.916066 \nL 229.72334 186.953368 \nL 231.660147 187.824696 \nL 233.779007 188.512482 \nL 236.090102 188.996323 \nL 238.603923 189.252661 \nL 241.330976 189.254498 \nL 244.281392 188.971149 \nL 247.464415 188.368076 \nL 250.887773 187.406891 \nL 254.55688 186.045555 \nL 258.47387 184.238901 \nL 262.636421 181.939612 \nL 267.036379 179.099766 \nL 271.658171 175.673108 \nL 276.477088 171.618198 \nL 281.457438 166.902494 \nL 286.550773 161.50748 \nL 291.694313 155.434593 \nL 296.80983 148.711666 \nL 301.803373 141.399287 \nL 306.566075 133.596058 \nL 310.976473 125.441706 \nL 314.904526 117.116616 \nL 318.217506 108.836747 \nL 320.787462 100.843212 \nL 322.499831 93.386838 \nL 323.262337 86.709045 \nL 323.013062 81.021468 \nL 321.72662 76.48742 \nL 319.417375 73.208422 \nL 316.139259 71.217829 \nL 311.982055 70.482669 \nL 307.064738 70.912673 \nL 301.526817 72.374516 \nL 295.518832 74.708461 \nL 289.193156 77.74467 \nL 282.695978 81.317036 \nL 276.161056 85.273363 \nL 269.705435 89.48174 \nL 263.427145 93.833261 \nL 257.404478 98.24204 \nL 251.696604 102.643345 \nL 246.345075 106.990704 \nL 241.375893 111.252588 \nL 236.801822 115.409143 \nL 232.624751 119.449251 \nL 228.837947 123.368089 \nL 225.428112 127.165092 \nL 222.377179 130.84248 \nL 219.663851 134.4041 \nL 217.264869 137.85465 \nL 215.156045 141.199154 \nL 213.313065 144.442586 \nL 211.712114 147.589693 \nL 210.330335 150.644886 \nL 209.146149 153.612194 \nL 208.139474 156.49527 \nL 207.29185 159.297398 \nL 206.008342 164.670356 \nL 205.181497 169.751497 \nL 204.722687 174.55768 \nL 204.566294 179.103038 \nL 204.666852 183.39944 \nL 204.996318 187.456699 \nL 205.541789 191.282427 \nL 206.303797 194.881713 \nL 207.295223 198.2564 \nL 208.540858 201.404033 \nL 210.077565 204.316246 \nL 210.97006 205.67927 \nL 211.955007 206.976369 \nL 213.04082 208.203594 \nL 214.236885 209.355965 \nL 215.553625 210.427258 \nL 217.002558 211.409771 \nL 218.596349 212.294031 \nL 220.348866 213.068446 \nL 222.27521 213.718906 \nL 224.391742 214.228299 \nL 226.716057 214.575972 \nL 229.266928 214.7371 \nL 232.064172 214.681971 \nL 235.128437 214.375246 \nL 238.480856 213.775116 \nL 242.142536 212.832522 \nL 246.133845 211.490409 \nL 250.473414 209.6832 \nL 255.1768 207.336629 \nL 260.254737 204.368159 \nL 265.710901 200.688369 \nL 271.539134 196.203651 \nL 277.720101 190.820751 \nL 284.217427 184.453645 \nL 290.973487 177.033162 \nL 297.905141 168.519574 \nL 304.899917 158.917819 \nL 311.813481 148.294158 \nL 318.469213 136.792165 \nL 324.661153 124.644591 \nL 330.161153 112.176791 \nL 334.730934 99.797519 \nL 338.138703 87.974084 \nL 340.179118 77.192267 \nL 340.694001 67.905495 \nL 339.590571 60.482131 \nL 336.853749 55.161847 \nL 332.549877 52.030892 \nL 326.821085 51.02152 \nL 319.871275 51.934404 \nL 311.946395 54.477189 \nL 303.312524 58.309356 \nL 294.235156 63.084241 \nL 284.962184 68.481608 \nL 275.711841 74.228127 \nL 266.665855 80.106383 \nL 257.967081 85.954901 \nL 249.720628 91.662266 \nL 241.99727 97.158437 \nL 234.838137 102.405235 \nL 228.25988 107.387535 \nL 222.259725 112.105784 \nL 216.820118 116.570174 \nL 211.912765 120.796225 \nL 207.502008 124.801771 \nL 203.547568 128.604898 \nL 200.006702 132.222694 \nL 196.835855 135.670585 \nL 193.99188 138.961964 \nL 189.118945 145.118499 \nL 185.077427 150.759506 \nL 175.404739 164.87622 \nL 172.328676 168.638911 \nL 170.727425 170.327554 \nL 169.061457 171.878803 \nL 167.315032 173.284135 \nL 165.473227 174.533396 \nL 163.521854 175.614635 \nL 161.447429 176.513951 \nL 159.237191 177.215315 \nL 156.879169 177.700424 \nL 154.362338 177.948543 \nL 151.676823 177.936448 \nL 148.814216 177.638402 \nL 145.767975 177.026263 \nL 142.533954 176.069766 \nL 139.111035 174.737011 \nL 135.501906 172.995255 \nL 131.713942 170.81206 \nL 127.760214 168.156864 \nL 123.660569 165.003107 \nL 119.442749 161.330847 \nL 115.143465 157.129923 \nL 110.809292 152.40356 \nL 106.497286 147.172214 \nL 102.275123 141.477317 \nL 98.220558 135.38447 \nL 94.420059 128.985462 \nL 90.966453 122.398503 \nL 87.955498 115.766007 \nL 85.481478 109.249566 \nL 83.632047 103.022025 \nL 82.482659 97.257125 \nL 82.091149 92.117741 \nL 82.493104 87.743983 \nL 83.698561 84.243017 \nL 85.69052 81.681784 \nL 88.425529 80.083936 \nL 91.836234 79.431026 \nL 95.835665 79.66771 \nL 100.322639 80.709767 \nL 105.187759 82.453667 \nL 110.31926 84.786139 \nL 115.608305 87.592802 \nL 120.953298 90.764998 \nL 126.263053 94.204477 \nL 131.458795 97.826139 \nL 136.475114 101.559053 \nL 141.26001 105.346105 \nL 145.774267 109.142831 \nL 149.990341 112.91574 \nL 153.890978 116.640502 \nL 157.467695 120.300084 \nL 160.719233 123.883137 \nL 163.650094 127.382543 \nL 166.269193 130.794255 \nL 168.588652 134.116369 \nL 170.622768 137.348396 \nL 172.387136 140.490738 \nL 173.897934 143.544294 \nL 175.171333 146.510185 \nL 176.223044 149.389559 \nL 177.067971 152.183458 \nL 177.719944 154.892734 \nL 178.191536 157.51797 \nL 178.49394 160.059455 \nL 178.636891 162.51712 \nL 178.628625 164.890516 \nL 178.47587 167.178762 \nL 178.183853 169.380492 \nL 177.756329 171.493809 \nL 177.195603 173.516188 \nL 176.502586 175.444423 \nL 175.676828 177.274496 \nL 174.716568 179.001479 \nL 173.618784 180.619363 \nL 172.379246 182.120933 \nL 170.99258 183.497555 \nL 169.452326 184.738979 \nL 167.751031 185.833093 \nL 165.880343 186.765664 \nL 163.831147 187.520061 \nL 161.593724 188.076962 \nL 159.157979 188.414038 \nL 156.513713 188.50567 \nL 153.650988 188.322712 \nL 150.560598 187.832293 \nL 147.234648 186.997789 \nL 143.667297 185.778951 \nL 139.855654 184.132357 \nL 135.800873 182.012212 \nL 131.509438 179.371719 \nL 126.994657 176.165058 \nL 122.278297 172.350239 \nL 117.392361 167.892795 \nL 112.380841 162.770481 \nL 107.301326 156.978819 \nL 102.226203 150.537232 \nL 97.24321 143.495304 \nL 92.454967 135.938261 \nL 87.977192 127.990712 \nL 83.935268 119.817319 \nL 80.459082 111.619336 \nL 77.676204 103.626088 \nL 75.703791 96.081474 \nL 74.639943 89.226398 \nL 74.555493 83.279134 \nL 75.487338 78.416526 \nL 77.434282 74.759059 \nL 80.35611 72.36223 \nL 84.176091 71.215666 \nL 88.786527 71.249634 \nL 94.05666 72.347361 \nL 99.841693 74.360573 \nL 105.991961 77.125594 \nL 112.361221 80.477772 \nL 118.813344 84.262709 \nL 125.227187 88.34375 \nL 131.499543 92.605826 \nL 137.546364 96.956467 \nL 143.302613 101.324541 \nL 148.721087 105.657806 \nL 153.770599 109.919785 \nL 158.433777 114.086588 \nL 162.704775 118.143919 \nL 166.587021 122.084525 \nL 170.091128 125.906052 \nL 173.233043 129.609447 \nL 176.032442 133.197658 \nL 178.511388 136.674799 \nL 180.693231 140.0455 \nL 182.601733 143.314509 \nL 184.260389 146.486437 \nL 185.691914 149.565608 \nL 186.917874 152.556023 \nL 187.958432 155.461317 \nL 188.832189 158.284754 \nL 190.145409 163.697545 \nL 190.973073 168.814606 \nL 191.404905 173.652423 \nL 191.506975 178.224438 \nL 191.32435 182.541556 \nL 190.883678 186.612163 \nL 190.195371 190.44188 \nL 189.25521 194.032947 \nL 188.045318 197.383235 \nL 186.534488 200.484643 \nL 185.652765 201.93731 \nL 184.677897 203.320811 \nL 183.602018 204.631252 \nL 182.416285 205.86373 \nL 181.11083 207.012126 \nL 179.674712 208.06888 \nL 178.095871 209.024707 \nL 176.361095 209.868282 \nL 174.455987 210.585836 \nL 172.364962 211.160734 \nL 170.071273 211.572946 \nL 167.557077 211.798459 \nL 164.803574 211.808635 \nL 161.791228 211.569502 \nL 158.500104 211.04101 \nL 154.910356 210.176317 \nL 151.002935 208.921133 \nL 146.760526 207.213268 \nL 142.168819 204.982528 \nL 137.218151 202.151168 \nL 131.905606 198.635242 \nL 126.237601 194.347136 \nL 120.232976 189.1998 \nL 113.926562 183.113096 \nL 107.373046 176.022613 \nL 100.650897 167.891121 \nL 93.865839 158.722403 \nL 87.153232 148.576416 \nL 80.678487 137.583855 \nL 74.634517 125.957214 \nL 69.235391 113.994492 \nL 64.705582 102.071795 \nL 61.264991 90.622103 \nL 59.110859 80.100126 \nL 58.398622 70.936939 \nL 59.224771 63.491855 \nL 61.614602 58.010918 \nL 65.517552 54.601368 \nL 70.810941 53.227172 \nL 77.311699 53.72582 \nL 84.793701 55.840975 \nL 93.007796 59.262695 \nL 101.70134 63.66667 \nL 110.634788 68.746156 \nL 119.593949 74.233409 \nL 128.397517 79.91048 \nL 136.900268 85.611261 \nL 144.992836 91.217526 \nL 152.599073 96.651598 \nL 159.672008 101.867874 \nL 166.189144 106.844575 \nL 172.147719 111.576546 \nL 177.560236 116.069421 \nL 182.450528 120.3352 \nL 186.850395 124.389076 \nL 190.796838 128.247221 \nL 194.32986 131.925433 \nL 197.49075 135.438283 \nL 200.320801 138.798698 \nL 202.860368 142.017817 \nL 207.221132 148.067836 \nL 210.857852 153.643482 \nL 219.730475 167.755603 \nL 222.6186 171.577915 \nL 224.133638 173.309089 \nL 225.717302 174.912046 \nL 227.38469 176.378874 \nL 229.150338 177.700051 \nL 231.028301 178.864316 \nL 233.032204 179.858416 \nL 235.175245 180.666928 \nL 237.470137 181.272043 \nL 239.929007 181.653349 \nL 242.563199 181.787666 \nL 245.383007 181.648924 \nL 248.397305 181.208107 \nL 251.613061 180.433372 \nL 255.034707 179.29033 \nL 258.663402 177.742583 \nL 262.496105 175.75266 \nL 266.524514 173.283331 \nL 270.733891 170.299518 \nL 275.101755 166.770785 \nL 279.596546 162.674539 \nL 284.176373 157.999835 \nL 288.787924 152.751754 \nL 293.36579 146.956064 \nL 297.832372 140.663639 \nL 302.098607 133.954194 \nL 306.065785 126.93834 \nL 309.628577 119.757344 \nL 312.679308 112.57966 \nL 315.113463 105.593927 \nL 316.835942 98.99848 \nL 317.767681 92.988122 \nL 317.851822 87.739677 \nL 317.058715 83.398127 \nL 315.389052 80.065584 \nL 312.874645 77.794598 \nL 309.576696 76.586836 \nL 305.581788 76.397037 \nL 300.996064 77.141344 \nL 295.938422 78.708209 \nL 290.533455 80.970315 \nL 284.904837 83.795541 \nL 279.169766 87.056225 \nL 273.434678 90.63569 \nL 267.792427 94.432282 \nL 262.320783 98.361166 \nL 257.082069 102.354198 \nL 252.123693 106.358682 \nL 247.479337 110.335408 \nL 243.170499 114.256361 \nL 239.208254 118.102488 \nL 235.595055 121.86161 \nL 232.326451 125.526664 \nL 229.392694 129.094246 \nL 226.780137 132.563435 \nL 224.472466 135.93495 \nL 222.451722 139.210484 \nL 220.699146 142.392258 \nL 219.195856 145.482691 \nL 217.923381 148.484225 \nL 216.86406 151.399155 \nL 216.001339 154.229566 \nL 215.319982 156.977298 \nL 214.806203 159.643899 \nL 214.447755 162.230622 \nL 214.233961 164.738416 \nL 214.155723 167.167902 \nL 214.205503 169.519387 \nL 214.377294 171.792793 \nL 214.666571 173.987681 \nL 215.070248 176.103151 \nL 215.586632 178.137844 \nL 216.215372 180.089838 \nL 216.957416 181.956582 \nL 217.814973 183.734784 \nL 218.791478 185.420312 \nL 219.891558 187.008032 \nL 221.121005 188.491666 \nL 222.486742 189.863585 \nL 223.996795 191.114602 \nL 225.660244 192.233704 \nL 227.487175 193.207777 \nL 229.488597 194.021279 \nL 231.676336 194.655884 \nL 234.062884 195.090099 \nL 236.661192 195.298857 \nL 239.484388 195.25314 \nL 242.545381 194.91958 \nL 245.856377 194.260183 \nL 249.428197 193.232167 \nL 253.269457 191.788012 \nL 257.385501 189.875861 \nL 261.777089 187.440414 \nL 266.438836 184.424447 \nL 271.357382 180.771223 \nL 276.5093 176.427969 \nL 281.858848 171.35057 \nL 287.355699 165.509582 \nL 292.932803 158.897534 \nL 298.504783 151.537035 \nL 303.967177 143.489066 \nL 309.19703 134.860293 \nL 314.055292 125.807784 \nL 318.391433 116.539402 \nL 322.050364 107.308184 \nL 324.8816 98.399689 \nL 326.749959 90.112547 \nL 327.54667 82.733888 \nL 327.199589 76.513082 \nL 325.680816 71.638073 \nL 323.010565 68.218554 \nL 319.25652 66.279133 \nL 314.528674 65.763204 \nL 308.970531 66.546321 \nL 302.747989 68.455716 \nL 296.037416 71.292099 \nL 289.014512 74.850131 \nL 281.84493 78.934847 \nL 274.677333 83.372923 \nL 267.639006 88.018884 \nL 260.83386 92.756758 \nL 254.34233 97.498747 \nL 248.222716 102.181861 \nL 242.513438 106.763665 \nL 237.235793 111.217884 \nL 232.396859 115.530375 \nL 227.992325 119.695618 \nL 224.00911 123.713958 \nL 220.427669 127.589412 \nL 217.22396 131.328125 \nL 214.371091 134.937233 \nL 211.840632 138.424153 \nL 209.603659 141.796089 \nL 207.631545 145.059787 \nL 205.896551 148.221409 \nL 204.372234 151.286486 \nL 203.033718 154.259937 \nL 200.823311 159.948892 \nL 199.101721 165.317477 \nL 197.733123 170.388877 \nL 196.105157 177.478906 \nL 193.403978 189.967206 \nL 191.934052 195.430476 \nL 190.797007 198.795298 \nL 189.477277 201.937606 \nL 187.921435 204.850857 \nL 186.068997 207.520854 \nL 185.01006 208.757351 \nL 183.849719 209.922578 \nL 182.577215 211.010955 \nL 181.180838 212.015538 \nL 179.647842 212.927747 \nL 177.964377 213.737057 \nL 176.115422 214.430599 \nL 174.084745 214.992734 \nL 171.854887 215.40451 \nL 169.407183 215.64308 \nL 166.721857 215.681009 \nL 163.778168 215.485526 \nL 160.554702 215.017707 \nL 157.029763 214.231634 \nL 153.182007 213.073584 \nL 148.991287 211.481353 \nL 144.439816 209.383847 \nL 139.51373 206.701167 \nL 134.205105 203.345435 \nL 128.51452 199.222819 \nL 122.454159 194.237128 \nL 116.051541 188.295595 \nL 109.353674 181.317283 \nL 102.431455 173.244502 \nL 95.38392 164.057203 \nL 88.341624 153.789601 \nL 81.4683 142.5474 \nL 74.959684 130.522608 \nL 69.038412 118.001934 \nL 63.944109 105.364113 \nL 59.91851 93.062258 \nL 57.186324 81.589697 \nL 55.933924 71.431932 \nL 56.288952 63.011808 \nL 58.30446 56.63875 \nL 61.950775 52.473335 \nL 67.116903 50.515102 \nL 73.621273 50.615552 \nL 81.229795 52.511723 \nL 89.677856 55.870866 \nL 98.692459 60.336156 \nL 108.011659 65.565062 \nL 117.399169 71.255969 \nL 126.653669 77.162203 \nL 135.613033 83.095516 \nL 144.154539 88.922199 \nL 152.192202 94.554911 \nL 159.67237 99.943016 \nL 166.568559 105.063033 \nL 172.876156 109.910322 \nL 178.607472 114.492394 \nL 183.787331 118.823793 \nL 188.449355 122.92244 \nL 192.6329 126.807185 \nL 196.380632 130.496228 \nL 199.736645 134.006217 \nL 202.745055 137.351773 \nL 207.889826 143.597313 \nL 212.136916 149.307596 \nL 222.141428 163.559703 \nL 225.263316 167.351893 \nL 226.878972 169.053223 \nL 228.554362 170.615993 \nL 230.305603 172.03185 \nL 232.147893 173.290832 \nL 234.0956 174.38122 \nL 236.162298 175.289386 \nL 238.360741 175.999649 \nL 240.702824 176.494106 \nL 243.199425 176.752539 \nL 245.8602 176.752348 \nL 248.693295 176.468549 \nL 251.704945 175.873891 \nL 254.89897 174.939173 \nL 258.276166 173.633716 \nL 261.833561 171.926157 \nL 265.563565 169.785589 \nL 269.453004 167.183097 \nL 273.482109 164.093783 \nL 277.62345 160.499314 \nL 281.840936 156.390927 \nL 286.088983 151.772858 \nL 290.311976 146.66595 \nL 294.444158 141.111172 \nL 298.410189 135.172587 \nL 302.126491 128.93918 \nL 305.503537 122.525007 \nL 308.449092 116.067048 \nL 310.87242 109.720418 \nL 312.6892 103.650889 \nL 313.826785 98.025162 \nL 314.229317 92.999795 \nL 313.862144 88.71001 \nL 312.714977 85.260024 \nL 310.803335 82.716129 \nL 308.168086 81.103565 \nL 304.873082 80.407463 \nL 301.001213 80.577513 \nL 296.649276 81.53531 \nL 291.922381 83.183297 \nL 286.928333 85.413808 \nL 281.77256 88.117266 \nL 276.553916 91.188821 \nL 271.361579 94.53298 \nL 266.273015 98.066402 \nL 261.352968 101.719075 \nL 256.65332 105.434125 \nL 252.21361 109.166857 \nL 248.062039 112.883227 \nL 244.216749 116.558147 \nL 240.687263 120.173742 \nL 237.475957 123.717804 \nL 234.579471 127.182391 \nL 231.990011 130.5627 \nL 229.696533 133.856127 \nL 227.685749 137.061582 \nL 225.942997 140.178913 \nL 224.452958 143.208529 \nL 223.200235 146.151112 \nL 222.169813 149.007406 \nL 221.34742 151.778073 \nL 220.719795 154.46361 \nL 220.274869 157.064236 \nL 220.001913 159.579876 \nL 219.891617 162.01009 \nL 219.936129 164.354024 \nL 220.129082 166.61037 \nL 220.465582 168.777289 \nL 220.942198 170.852352 \nL 221.556914 172.832467 \nL 222.309108 174.71376 \nL 223.199491 176.491484 \nL 224.230065 178.15988 \nL 225.404067 179.71202 \nL 226.725902 181.139636 \nL 228.201071 182.43294 \nL 229.836095 183.580379 \nL 231.638396 184.568413 \nL 233.616179 185.38124 \nL 235.778263 186.000541 \nL 238.133864 186.405193 \nL 240.692339 186.571 \nL 243.462824 186.470479 \nL 246.453818 186.072691 \nL 249.672608 185.3432 \nL 253.124598 184.244216 \nL 256.812479 182.734972 \nL 260.735208 180.772477 \nL 264.886818 178.312716 \nL 269.255065 175.312484 \nL 273.819892 171.73189 \nL 278.551814 167.537721 \nL 283.410264 162.707655 \nL 288.342109 157.235272 \nL 293.280462 151.13565 \nL 298.144085 144.451121 \nL 302.83767 137.256481 \nL 307.253306 129.662724 \nL 311.273374 121.818227 \nL 314.775053 113.906329 \nL 317.636362 106.138475 \nL 319.74347 98.742735 \nL 320.99866 91.9484 \nL 321.328082 85.968182 \nL 320.688395 80.980553 \nL 319.071246 77.114878 \nL 316.504951 74.44179 \nL 313.053037 72.970283 \nL 308.809839 72.651751 \nL 303.893733 73.389877 \nL 298.438985 75.05411 \nL 292.587178 77.494514 \nL 286.479175 80.555678 \nL 280.248345 84.088162 \nL 274.015424 87.956593 \nL 267.885125 92.044447 \nL 261.944427 96.255925 \nL 256.262265 100.515609 \nL 250.890262 104.766537 \nL 245.864226 108.967652 \nL 241.206074 113.090842 \nL 236.92595 117.118128 \nL 233.024358 121.039148 \nL 229.494191 124.84902 \nL 226.322566 128.546636 \nL 223.492432 132.133364 \nL 220.983943 135.612064 \nL 218.7756 138.986402 \nL 216.84517 142.260396 \nL 215.170411 145.438084 \nL 213.729634 148.52335 \nL 212.502118 151.519822 \nL 211.468398 154.430809 \nL 210.610471 157.259317 \nL 209.911911 160.008034 \nL 209.357928 162.679352 \nL 208.632767 167.79803 \nL 208.349145 172.629407 \nL 208.445535 177.183988 \nL 208.88255 181.468751 \nL 209.640753 185.486832 \nL 210.718823 189.236687 \nL 212.13226 192.710679 \nL 212.974004 194.339667 \nL 213.912698 195.892936 \nL 214.9548 197.366696 \nL 216.107788 198.756177 \nL 217.380181 200.055462 \nL 218.781556 201.257249 \nL 220.322578 202.352631 \nL 222.015001 203.330771 \nL 223.87168 204.17859 \nL 225.906543 204.880351 \nL 228.134557 205.417235 \nL 230.571628 205.766821 \nL 233.234458 205.90254 \nL 236.140323 205.793082 \nL 239.306728 205.401796 \nL 242.75095 204.686122 \nL 246.489389 203.597094 \nL 250.536698 202.079042 \nL 254.904644 200.069609 \nL 259.600665 197.500271 \nL 264.626022 194.297586 \nL 269.973573 190.385508 \nL 275.625146 185.689051 \nL 281.548501 180.13967 \nL 287.694117 173.68263 \nL 293.991933 166.286499 \nL 300.348463 157.954424 \nL 306.644847 148.736505 \nL 312.736452 138.741786 \nL 318.454823 128.147499 \nL 323.612728 117.202857 \nL 328.01269 106.224332 \nL 331.459007 95.580185 \nL 333.772506 85.663811 \nL 334.806501 76.858272 \nL 334.461706 69.496855 \nL 332.697718 63.827113 \nL 329.53889 59.985474 \nL 325.07339 57.987647 \nL 319.445552 57.736208 \nL 312.842856 59.042756 \nL 305.479744 61.658778 \nL 297.58082 65.308552 \nL 289.365627 69.718306 \nL 281.036522 74.638114 \nL 272.770328 79.855136 \nL 264.71377 85.199169 \nL 256.982127 90.542054 \nL 249.660337 95.79335 \nL 242.805755 100.894001 \nL 236.451824 105.809436 \nL 230.612106 110.523227 \nL 225.284238 115.031545 \nL 220.453617 119.338774 \nL 216.096624 123.454166 \nL 212.183368 127.389461 \nL 208.679931 131.157214 \nL 205.550175 134.769786 \nL 202.757133 138.238669 \nL 200.264064 141.574188 \nL 198.035217 144.785384 \nL 194.235098 150.864462 \nL 191.106139 156.523554 \nL 187.204057 164.289371 \nL 183.725602 171.228525 \nL 181.400921 175.394581 \nL 178.928261 179.175107 \nL 177.60142 180.911841 \nL 176.196317 182.53937 \nL 174.699738 184.050992 \nL 173.098506 185.438564 \nL 171.379393 186.69227 \nL 169.529051 187.800392 \nL 167.533988 188.749028 \nL 165.380576 189.521806 \nL 163.055105 190.099571 \nL 160.543911 190.460046 \nL 157.833558 190.577513 \nL 154.911136 190.422523 \nL 151.764652 189.961656 \nL 148.383552 189.157417 \nL 144.759428 187.968294 \nL 140.886875 186.349113 \nL 136.764572 184.251766 \nL 132.396582 181.626476 \nL 127.793873 178.423758 \nL 122.976038 174.597198 \nL 117.973164 170.107241 \nL 112.827753 164.926034 \nL 107.596494 159.043242 \nL 102.351756 152.472701 \nL 97.182341 145.259269 \nL 92.193296 137.485147 \nL 87.504291 129.274505 \nL 83.246304 120.79501 \nL 79.556366 112.254927 \nL 76.570464 103.894797 \nL 74.414925 95.973466 \nL 73.197046 88.749317 \nL 72.996065 82.458872 \nL 73.855604 77.295874 \nL 75.778805 73.394278 \nL 78.726947 70.818099 \nL 82.62182 69.559758 \nL 87.351562 69.546821 \nL 92.77906 70.655206 \nL 98.751734 72.726289 \nL 105.111492 75.584602 \nL 111.703728 79.053782 \nL 118.384619 82.96883 \nL 125.026401 87.184327 \nL 131.520513 91.578542 \nL 137.778903 96.054357 \nL 143.733786 100.537769 \nL 149.336359 104.975109 \nL 154.554774 109.329539 \nL 159.371772 113.577539 \nL 163.782195 117.705657 \nL 167.790579 121.707711 \nL 171.40893 125.582525 \nL 174.654756 129.332193 \nL 177.549385 132.960763 \nL 180.116555 136.473336 \nL 182.381272 139.875403 \nL 184.36891 143.172466 \nL 186.104507 146.369788 \nL 187.612251 149.472259 \nL 188.915107 152.484346 \nL 190.034571 155.410088 \nL 190.990514 158.25313 \nL 192.48281 163.703889 \nL 193.516986 168.859243 \nL 194.192123 173.738002 \nL 194.584051 178.356224 \nL 194.748531 182.727925 \nL 194.724377 186.865553 \nL 194.53621 190.780143 \nL 194.196684 194.481385 \nL 193.708139 197.97751 \nL 193.063662 201.275023 \nL 192.247606 204.37823 \nL 191.235575 207.288548 \nL 189.993913 210.00344 \nL 188.47871 212.514808 \nL 186.634341 214.806628 \nL 185.567675 215.862201 \nL 184.39157 216.85144 \nL 183.09487 217.768285 \nL 181.66527 218.605186 \nL 180.089234 219.352804 \nL 178.351924 219.999653 \nL 176.437134 220.531652 \nL 174.327244 220.931611 \nL 172.003207 221.178634 \nL 169.444572 221.247416 \nL 166.629584 221.107445 \nL 163.535369 220.722096 \nL 160.138235 220.047691 \nL 156.414174 219.032468 \nL 152.339546 217.61565 \nL 147.892096 215.726617 \nL 143.052338 213.284438 \nL 137.8054 210.198023 \nL 132.143419 206.36721 \nL 126.068612 201.685345 \nL 119.596999 196.043906 \nL 112.762842 189.339839 \nL 105.623585 181.486232 \nL 98.265012 172.426671 \nL 90.806037 162.153128 \nL 83.402254 150.72617 \nL 76.247054 138.294979 \nL 69.568945 125.113089 \nL 63.623838 111.544329 \nL 58.681304 98.053389 \nL 55.005105 85.176932 \nL 52.829498 73.475074 \nL 52.334333 63.469255 \nL 53.623175 55.577461 \nL 56.708908 50.061483 \nL 61.5098 46.998597 \nL 67.857194 46.284048 \nL 75.513262 47.662013 \nL 84.195223 50.775267 \nL 93.601524 55.22075 \nL 103.435874 60.599306 \nL 113.426256 66.552177 \nL 123.337654 72.782053 \nL 132.978523 79.060212 \nL 150.904194 91.165187 \nL 166.508446 102.17079 \nL 173.366347 107.201276 \nL 179.602138 111.924846 \nL 185.240997 116.35965 \nL 190.318432 120.52784 \nL 194.876707 124.452515 \nL 198.962027 128.155814 \nL 202.622355 131.657852 \nL 205.90579 134.976157 \nL 211.528371 141.118052 \nL 216.181147 146.6686 \nL 225.495129 158.214818 \nL 228.910096 161.905134 \nL 230.645332 163.537476 \nL 232.424794 165.019077 \nL 234.265814 166.341431 \nL 236.184309 167.494472 \nL 238.194851 168.466498 \nL 240.310707 169.244075 \nL 242.543823 169.811989 \nL 244.904737 170.153198 \nL 247.402436 170.248873 \nL 250.04414 170.07844 \nL 252.835006 169.619807 \nL 255.777739 168.849646 \nL 258.872127 167.743901 \nL 262.114482 166.278509 \nL 265.496998 164.430352 \nL 269.007051 162.178541 \nL 272.626457 159.506018 \nL 276.330753 156.40148 \nL 280.088506 152.861667 \nL 283.860796 148.893791 \nL 287.600931 144.51811 \nL 291.254501 139.770332 \nL 294.759906 134.703572 \nL 298.049451 129.389527 \nL 301.051109 123.918406 \nL 303.690921 118.397415 \nL 305.896104 112.947393 \nL 307.598582 107.697714 \nL 308.738818 102.779638 \nL 309.269579 98.318625 \nL 309.15927 94.426484 \nL 308.394454 91.194179 \nL 306.981305 88.686261 \nL 304.945697 86.937692 \nL 302.331995 85.953179 \nL 299.200645 85.70928 \nL 295.624773 86.158613 \nL 291.686219 87.235461 \nL 287.471401 88.86209 \nL 283.067307 90.95495 \nL 278.557979 93.430049 \nL 274.021687 96.207241 \nL 269.528807 99.213291 \nL 265.140489 102.383668 \nL 260.90804 105.663307 \nL 256.872876 109.006529 \nL 253.06693 112.376417 \nL 249.513416 115.743846 \nL 246.227763 119.08634 \nL 243.218703 122.386896 \nL 240.489368 125.632912 \nL 238.038352 128.815202 \nL 235.860712 131.927165 \nL 233.948871 134.964082 \nL 232.293426 137.922577 \nL 230.883823 140.800161 \nL 229.708938 143.594902 \nL 228.757554 146.305154 \nL 228.01875 148.929347 \nL 227.482193 151.465856 \nL 227.138382 153.912823 \nL 226.97881 156.268106 \nL 226.996094 158.529131 \nL 227.184044 160.692835 \nL 227.537716 162.755555 \nL 228.053422 164.712935 \nL 228.728722 166.55982 \nL 229.562399 168.290143 \nL 230.554403 169.896784 \nL 231.705794 171.371448 \nL 233.018652 172.704499 \nL 234.495973 173.88482 \nL 236.141547 174.899598 \nL 237.959795 175.734202 \nL 239.955574 176.371975 \nL 242.133942 176.794095 \nL 244.499882 176.979473 \nL 247.057934 176.904658 \nL 249.811781 176.543891 \nL 252.76373 175.869222 \nL 255.914102 174.850856 \nL 259.260518 173.457667 \nL 262.797077 171.65807 \nL 266.513415 169.421205 \nL 270.393683 166.71856 \nL 274.415483 163.526118 \nL 278.548747 159.826961 \nL 282.754764 155.614383 \nL 286.985338 150.895359 \nL 291.182285 145.694172 \nL 295.277456 140.055882 \nL 299.193381 134.049074 \nL 302.844771 127.767481 \nL 306.140986 121.329683 \nL 308.989459 114.876518 \nL 311.300054 108.56576 \nL 312.990037 102.564157 \nL 313.989397 97.037396 \nL 314.245838 92.13883 \nL 313.729003 87.998503 \nL 312.433344 84.713917 \nL 310.37919 82.343726 \nL 307.611946 80.905365 \nL 304.199386 80.376806 \nL 300.227408 80.701749 \nL 295.794828 81.797447 \nL 291.007683 83.563679 \nL 285.973688 85.891807 \nL 280.797334 88.672655 \nL 275.57586 91.802788 \nL 270.396367 95.188837 \nL 265.333959 98.749912 \nL 260.450948 102.418516 \nL 255.796822 106.140159 \nL 251.408891 109.872269 \nL 247.313345 113.58263 \nL 243.526577 117.247637 \nL 240.056646 120.850612 \nL 236.904728 124.380245 \nL 234.06652 127.829273 \nL 231.533527 131.193373 \nL 229.294196 134.470285 \nL 227.334914 137.65913 \nL 225.64084 140.759887 \nL 224.196589 143.773046 \nL 222.986802 146.699305 \nL 221.996575 149.53941 \nL 221.211806 152.294002 \nL 220.619438 154.963521 \nL 220.207649 157.548149 \nL 219.965966 160.047743 \nL 219.885349 162.461785 \nL 219.958226 164.789339 \nL 220.178504 167.029007 \nL 220.541569 169.178837 \nL 221.044254 171.236294 \nL 221.684813 173.198143 \nL 222.462876 175.060357 \nL 223.3794 176.818006 \nL 224.436627 178.465122 \nL 225.638015 179.994546 \nL 226.988183 181.397753 \nL 228.492833 182.66462 \nL 230.158661 183.783253 \nL 231.993253 184.739702 \nL 234.00494 185.517719 \nL 236.202635 186.098478 \nL 238.59561 186.460293 \nL 241.193206 186.578372 \nL 244.004481 186.424589 \nL 247.037752 185.967348 \nL 250.300016 185.171567 \nL 253.796241 183.998853 \nL 257.528497 182.407943 \nL 261.494924 180.355543 \nL 265.688487 177.79763 \nL 270.095603 174.691389 \nL 274.69457 170.997888 \nL 279.453952 166.685607 \nL 284.330932 161.734778 \nL 289.269879 156.142578 \nL 294.201236 149.928748 \nL 299.041059 143.14134 \nL 303.691532 135.861704 \nL 308.042631 128.207847 \nL 311.975361 120.335037 \nL 315.366536 112.432565 \nL 318.095102 104.716035 \nL 320.049611 97.415042 \nL 321.136235 90.75719 \nL 321.286385 84.950123 \nL 320.462994 80.164138 \nL 318.664549 76.518134 \nL 315.926181 74.071224 \nL 312.31761 72.821073 \nL 307.93826 72.709257 \nL 302.910154 73.6319 \nL 297.369597 75.453649 \nL 291.458639 78.022537 \nL 285.317228 81.183461 \nL 279.076718 84.789067 \nL 272.855055 88.707235 \nL 266.753722 92.825268 \nL 260.856315 97.051251 \nL 255.228441 101.313384 \nL 249.918628 105.557921 \nL 244.959928 109.746444 \nL 240.371881 113.852957 \nL 236.162664 117.861087 \nL 232.331197 121.761649 \nL 228.869156 125.550595 \nL 225.762754 129.227371 \nL 222.994316 132.793689 \nL 220.543602 136.252612 \nL 218.388909 139.607908 \nL 216.507945 142.863617 \nL 214.878534 146.023756 \nL 213.479136 149.092173 \nL 212.28924 152.072436 \nL 211.289644 154.967798 \nL 210.462629 157.781207 \nL 209.79207 160.515294 \nL 209.263485 163.172402 \nL 208.582526 168.263734 \nL 208.336247 173.068931 \nL 208.465275 177.598157 \nL 208.932159 181.858075 \nL 209.719207 185.851446 \nL 210.826691 189.576246 \nL 212.27161 193.024203 \nL 213.130326 194.639541 \nL 214.087057 196.178563 \nL 215.148444 197.637319 \nL 216.322153 199.01085 \nL 217.616894 200.293002 \nL 219.04244 201.476213 \nL 220.609653 202.551243 \nL 222.330487 203.506887 \nL 224.217992 204.329622 \nL 226.286294 205.0032 \nL 228.550535 205.508187 \nL 231.026782 205.821462 \nL 233.731865 205.915648 \nL 236.68313 205.758525 \nL 239.898089 205.312422 \nL 243.393923 204.533659 \nL 247.186793 203.372078 \nL 251.29094 201.770786 \nL 255.717485 199.666257 \nL 260.472906 196.988945 \nL 265.557155 193.664726 \nL 270.961325 189.617399 \nL 276.664965 184.772646 \nL 282.632986 179.06376 \nL 288.81244 172.439388 \nL 295.129258 164.873379 \nL 301.485519 156.376325 \nL 307.757696 147.00803 \nL 313.796639 136.88916 \nL 319.430032 126.209791 \nL 324.46803 115.23187 \nL 328.712432 104.282672 \nL 331.969294 93.737348 \nL 334.064022 83.990373 \nL 334.857324 75.418915 \nL 334.259716 68.343498 \nL 332.242126 62.993303 \nL 328.840596 59.4834 \nL 324.154112 57.808201 \nL 318.335868 57.851986 \nL 311.579466 59.413072 \nL 304.102442 62.235581 \nL 296.12961 66.042085 \nL 287.878285 70.561627 \nL 279.546789 75.550118 \nL 271.306836 80.802083 \nL 263.299567 86.154996 \nL 255.634702 91.487853 \nL 248.392006 96.716319 \nL 241.624265 101.786217 \nL 235.361064 106.666699 \nL 229.612811 111.343967 \nL 224.374688 115.815973 \nL 219.630238 120.088201 \nL 215.354523 124.170505 \nL 211.516762 128.074885 \nL 208.082509 131.813942 \nL 205.015375 135.399913 \nL 202.278355 138.84411 \nL 199.834827 142.156636 \nL 197.649269 145.346284 \nL 193.918233 151.385749 \nL 190.837439 157.008539 \nL 186.974694 164.723327 \nL 183.503422 171.612352 \nL 181.168675 175.743761 \nL 178.675385 179.487258 \nL 177.334463 181.204127 \nL 175.912822 182.810586 \nL 174.397258 184.299684 \nL 172.774584 185.662977 \nL 171.031553 186.890307 \nL 169.154793 187.969566 \nL 167.130783 188.886411 \nL 164.945875 189.623968 \nL 162.58636 190.162521 \nL 160.038603 190.479168 \nL 157.28925 190.547516 \nL 154.325534 190.337384 \nL 151.135703 189.814595 \nL 147.709559 188.940898 \nL 144.0392 187.67407 \nL 140.119916 185.968329 \nL 135.951312 183.775163 \nL 131.538649 181.044717 \nL 126.894394 177.727876 \nL 122.039995 173.779252 \nL 117.007749 169.161145 \nL 111.842702 163.848583 \nL 106.604414 157.835335 \nL 101.368315 151.140616 \nL 96.226297 143.815913 \nL 91.286309 135.951102 \nL 86.670423 127.678533 \nL 82.511145 119.173863 \nL 78.94584 110.652171 \nL 76.109259 102.358561 \nL 74.124775 94.553169 \nL 73.094969 87.491741 \nL 73.092781 81.404089 \nL 74.154417 76.473622 \nL 76.275085 72.821494 \nL 79.408314 70.498036 \nL 83.469045 69.482713 \nL 88.340005 69.692184 \nL 93.880456 70.994598 \nL 99.936131 73.226946 \nL 106.349031 76.212577 \nL 112.966166 79.776579 \nL 119.646496 83.757286 \nL 126.265754 88.013602 \nL 132.719252 92.428504 \nL 138.922849 96.909447 \nL 144.812487 101.386544 \nL 150.342746 105.80957 \nL 155.484716 110.144471 \nL 160.223604 114.369852 \nL 164.556253 118.473809 \nL 168.488754 122.451253 \nL 172.034274 126.301734 \nL 175.211148 130.027788 \nL 178.041237 133.633709 \nL 180.548584 137.124696 \nL 182.758307 140.506267 \nL 184.695746 143.783887 \nL 186.385799 146.962743 \nL 187.852434 150.047645 \nL 189.118338 153.042978 \nL 190.204696 155.952703 \nL 191.915239 161.52921 \nL 193.119927 166.801671 \nL 193.927994 171.790295 \nL 194.424236 176.512123 \nL 194.67206 180.98192 \nL 194.716676 185.212702 \nL 194.588023 189.216028 \nL 194.303213 193.0021 \nL 193.868406 196.579704 \nL 193.280106 199.955998 \nL 192.525887 203.136131 \nL 191.584573 206.122632 \nL 190.425918 208.914479 \nL 189.009789 211.505699 \nL 187.284878 213.88332 \nL 186.287118 214.985333 \nL 185.186957 216.02429 \nL 183.973993 216.994995 \nL 182.636734 217.890948 \nL 181.162515 218.704076 \nL 179.537417 219.42441 \nL 177.746202 220.039697 \nL 175.772247 220.534948 \nL 173.597513 220.891893 \nL 171.202537 221.088346 \nL 168.566485 221.097475 \nL 165.667264 220.886974 \nL 162.481754 220.418161 \nL 158.986155 219.644981 \nL 155.156543 218.513023 \nL 150.969654 216.958588 \nL 146.404013 214.907982 \nL 141.44142 212.277196 \nL 136.068991 208.972315 \nL 130.28173 204.89103 \nL 124.085803 199.925772 \nL 117.502491 193.969116 \nL 110.572756 186.922088 \nL 103.362332 178.70593 \nL 95.966781 169.277602 \nL 88.516014 158.648468 \nL 81.177167 146.904758 \nL 74.15471 134.226645 \nL 67.686302 120.901496 \nL 62.033256 107.32556 \nL 57.465037 93.988748 \nL 54.238206 81.43955 \nL 52.57213 70.231556 \nL 52.624547 60.859299 \nL 54.471741 53.695948 \nL 58.097102 48.947146 \nL 63.390857 46.632146 \nL 70.161111 46.595614 \nL 78.153986 48.545541 \nL 87.07882 52.105889 \nL 96.634018 56.871243 \nL 106.529685 62.452822 \nL 116.504701 68.510161 \nL 126.337457 74.767479 \nL 135.850598 81.017296 \nL 153.426706 92.969617 \nL 168.628466 103.777259 \nL 175.285367 108.710281 \nL 181.327474 113.342176 \nL 186.783461 117.692606 \nL 191.691151 121.784144 \nL 196.094181 125.639667 \nL 200.039398 129.280686 \nL 203.574866 132.7265 \nL 206.748382 135.993758 \nL 212.193482 142.045623 \nL 216.719758 147.517155 \nL 225.893931 158.883277 \nL 229.307071 162.499045 \nL 231.050463 164.091974 \nL 232.843469 165.532183 \nL 234.702994 166.810742 \nL 236.644558 167.917118 \nL 238.682374 168.83913 \nL 240.829356 169.562827 \nL 243.097088 170.072469 \nL 245.495724 170.350479 \nL 248.033834 170.377462 \nL 250.718157 170.132339 \nL 253.553274 169.592547 \nL 256.541205 168.734375 \nL 259.680917 167.533549 \nL 262.96773 165.965976 \nL 266.392658 164.008806 \nL 269.941694 161.641811 \nL 273.595069 158.849051 \nL 277.326492 155.620938 \nL 281.102532 151.956562 \nL 284.882126 147.86622 \nL 288.616356 143.373967 \nL 292.248638 138.51998 \nL 295.715364 133.362359 \nL 298.947173 127.978014 \nL 301.870896 122.462295 \nL 304.412187 116.926942 \nL 306.498731 111.496296 \nL 308.063943 106.301664 \nL 309.050849 101.474306 \nL 309.415768 97.137539 \nL 309.131541 93.398932 \nL 308.189764 90.343337 \nL 306.601931 88.027954 \nL 304.39918 86.479671 \nL 301.630699 85.695272 \nL 298.361034 85.644138 \nL 294.666451 86.272917 \nL 290.630863 87.511547 \nL 286.341657 89.279598 \nL 281.88578 91.492369 \nL 277.346364 94.066042 \nL 272.800051 96.921676 \nL 268.31511 99.987911 \nL 263.950284 103.202475 \nL 259.754341 106.512686 \nL 255.766176 109.875216 \nL 252.015321 113.255295 \nL 248.522785 116.6257 \nL 245.302051 119.965553 \nL 242.360176 123.259191 \nL 239.698877 126.495074 \nL 237.31561 129.664848 \nL 235.204541 132.762544 \nL 233.357428 135.783922 \nL 231.764393 138.725931 \nL 230.414581 141.58633 \nL 229.296708 144.363341 \nL 228.399514 147.055413 \nL 227.712135 149.661024 \nL 227.224365 152.178549 \nL 226.926893 154.606122 \nL 226.811448 156.941541 \nL 226.870907 159.182165 \nL 227.099368 161.324838 \nL 227.492188 163.36577 \nL 228.045983 165.300474 \nL 228.75862 167.12362 \nL 229.629183 168.828949 \nL 230.65792 170.409124 \nL 231.846171 171.855581 \nL 233.196284 173.158396 \nL 234.711503 174.306098 \nL 236.395832 175.285501 \nL 238.253877 176.081545 \nL 240.290644 176.677102 \nL 242.511299 177.052844 \nL 244.920847 177.187117 \nL 247.523795 177.055906 \nL 250.32369 176.632858 \nL 253.32259 175.889478 \nL 256.52043 174.795455 \nL 259.914285 173.319298 \nL 263.497518 171.429193 \nL 267.258811 169.094348 \nL 271.181129 166.28668 \nL 275.240623 162.983072 \nL 279.405529 159.168109 \nL 283.635192 154.837304 \nL 287.879277 150.000636 \nL 292.077339 144.686246 \nL 296.158942 138.943803 \nL 300.044477 132.847167 \nL 303.646866 126.495638 \nL 306.874193 120.01329 \nL 309.633409 113.54583 \nL 311.834833 107.254668 \nL 313.39732 101.308409 \nL 314.253541 95.872347 \nL 314.354991 91.09706 \nL 313.675975 87.107531 \nL 312.21616 83.994258 \nL 310.001313 81.807781 \nL 307.082031 80.557055 \nL 303.530693 80.212038 \nL 299.436921 80.709576 \nL 294.902166 81.961736 \nL 290.03393 83.86495 \nL 284.940302 86.308971 \nL 279.725165 89.184565 \nL 274.484364 92.389427 \nL 269.303033 95.832102 \nL 264.253964 99.43411 \nL 259.396979 103.130454 \nL 254.779083 106.869109 \nL 250.435211 110.609744 \nL 246.389374 114.322096 \nL 242.656036 117.984203 \nL 239.241588 121.58071 \nL 236.145826 125.101349 \nL 233.363325 128.539661 \nL 230.884707 131.891915 \nL 228.697759 135.156292 \nL 226.788393 138.33221 \nL 225.141455 141.419878 \nL 223.741385 144.419919 \nL 222.572756 147.333126 \nL 221.620683 150.160304 \nL 220.871151 152.902122 \nL 220.311243 155.559039 \nL 219.929313 158.131238 \nL 219.715091 160.618575 \nL 219.659757 163.020514 \nL 219.755972 165.336107 \nL 219.997877 167.56392 \nL 220.381092 169.70199 \nL 220.902685 171.747726 \nL 221.56114 173.697863 \nL 222.356307 175.548317 \nL 223.289368 177.294092 \nL 224.362772 178.929151 \nL 225.580186 180.446242 \nL 226.94643 181.836713 \nL 228.467397 183.090328 \nL 230.149976 184.195025 \nL 232.001934 185.136666 \nL 234.031779 185.898781 \nL 236.248594 186.462279 \nL 238.661803 186.805177 \nL 241.280885 186.902334 \nL 244.115018 186.725228 \nL 247.172598 186.241822 \nL 250.460667 185.416547 \nL 253.984187 184.210497 \nL 257.745145 182.581887 \nL 261.741502 180.486908 \nL 265.965942 177.881076 \nL 270.404445 174.721243 \nL 275.034728 170.968321 \nL 279.824566 166.590908 \nL 284.73017 161.569771 \nL 289.694699 155.903072 \nL 294.647189 149.612178 \nL 299.502149 142.747409 \nL 304.160098 135.393053 \nL 308.509375 127.670639 \nL 312.429481 119.739346 \nL 315.796033 111.792438 \nL 318.487287 104.049117 \nL 320.39173 96.741751 \nL 321.416224 90.0994 \nL 321.493663 84.329573 \nL 320.589206 79.600731 \nL 318.704139 76.028404 \nL 315.87675 73.667093 \nL 312.180019 72.509354 \nL 307.716423 72.491595 \nL 302.61061 73.505349 \nL 297.00092 75.411624 \nL 291.030768 78.055912 \nL 284.84078 81.281729 \nL 278.562388 84.941339 \nL 272.313093 88.902985 \nL 266.193555 93.05489 \nL 260.286298 97.306364 \nL 254.655703 101.586916 \nL 249.349047 105.844112 \nL 244.398143 110.04073 \nL 239.821383 114.151826 \nL 235.625896 118.161898 \nL 231.809695 122.06247 \nL 228.363669 125.850038 \nL 225.273372 129.52448 \nL 222.520595 133.087832 \nL 220.084665 136.543396 \nL 217.943539 139.895114 \nL 216.074668 143.147148 \nL 214.455675 146.303623 \nL 213.064878 149.368451 \nL 211.881666 152.34525 \nL 210.886763 155.23733 \nL 210.062402 158.047677 \nL 209.392422 160.778951 \nL 208.459227 166.01356 \nL 207.990717 170.957164 \nL 207.915419 175.622147 \nL 208.184734 180.017539 \nL 208.770627 184.148929 \nL 209.663564 188.017949 \nL 210.870951 191.621206 \nL 212.416169 194.948625 \nL 213.327043 196.503343 \nL 214.338228 197.981007 \nL 215.457076 199.3772 \nL 216.691963 200.686412 \nL 218.052317 201.90183 \nL 219.548643 203.015095 \nL 221.192544 204.016037 \nL 222.996724 204.892326 \nL 224.974991 205.629108 \nL 227.142228 206.208547 \nL 229.514313 206.609353 \nL 232.108007 206.806223 \nL 234.940755 206.769241 \nL 238.030392 206.463272 \nL 241.394736 205.84733 \nL 245.050991 204.874041 \nL 249.01496 203.489239 \nL 253.300002 201.631824 \nL 257.915656 199.234067 \nL 262.865925 196.222572 \nL 268.147137 192.520196 \nL 273.745399 188.049252 \nL 279.633614 182.73635 \nL 285.768224 176.519223 \nL 292.085839 169.355719 \nL 298.500073 161.234838 \nL 304.899104 152.189237 \nL 311.144592 142.30797 \nL 317.072771 131.747355 \nL 322.49844 120.737216 \nL 327.222495 109.579294 \nL 331.04311 98.635167 \nL 333.770147 88.302491 \nL 335.241375 78.980813 \nL 335.33845 71.031436 \nL 334.00016 64.738313 \nL 331.230434 60.277578 \nL 327.099652 57.702317 \nL 321.738781 56.945112 \nL 315.327443 57.837002 \nL 308.077966 60.137439 \nL 300.218005 63.568403 \nL 291.974237 67.84619 \nL 283.558868 72.706329 \nL 275.159955 77.919734 \nL 266.935653 83.300452 \nL 259.012029 88.706508 \nL 251.483612 94.036226 \nL 244.415855 99.22196 \nL 237.84873 104.223099 \nL 231.800819 109.019197 \nL 226.273431 113.604044 \nL 221.254468 117.980826 \nL 216.721852 122.158422 \nL 212.646462 126.148716 \nL 208.994555 129.964732 \nL 205.729718 133.619433 \nL 202.814386 137.124983 \nL 200.210993 140.492345 \nL 197.882819 143.731137 \nL 193.912809 149.854584 \nL 190.645113 155.545969 \nL 186.575531 163.341036 \nL 182.957263 170.287194 \nL 180.54522 174.444237 \nL 177.984653 178.202689 \nL 176.612541 179.922668 \nL 175.160809 181.52907 \nL 173.615949 183.014709 \nL 171.964555 184.370887 \nL 170.193234 185.587161 \nL 168.288549 186.651116 \nL 166.237006 187.548092 \nL 164.025076 188.260895 \nL 161.639271 188.769499 \nL 159.066298 189.050729 \nL 156.293274 189.07798 \nL 153.308056 188.820963 \nL 150.099674 188.245553 \nL 146.658913 187.313762 \nL 142.979053 185.983944 \nL 139.056788 184.211301 \nL 134.893362 181.948826 \nL 130.495897 179.148823 \nL 125.878937 175.765108 \nL 121.066153 171.756107 \nL 116.092131 167.088905 \nL 111.004165 161.74426 \nL 105.863806 155.722458 \nL 100.748004 149.049756 \nL 95.749425 141.784693 \nL 90.975694 134.02344 \nL 86.547197 125.903019 \nL 82.593114 117.601075 \nL 79.245726 109.33108 \nL 76.633 101.332282 \nL 74.870077 93.854599 \nL 74.050396 87.139738 \nL 74.237581 81.400893 \nL 75.459177 76.804153 \nL 77.703193 73.454655 \nL 80.918139 71.389869 \nL 85.016491 70.58086 \nL 89.881163 70.9409 \nL 95.374045 72.339419 \nL 101.34545 74.61848 \nL 107.643307 77.609086 \nL 114.121248 81.145149 \nL 120.644961 85.0739 \nL 127.096547 89.262413 \nL 133.37698 93.600615 \nL 139.40689 98.001356 \nL 145.126027 102.398777 \nL 150.491823 106.74538 \nL 155.477359 111.008766 \nL 160.06907 115.168402 \nL 164.26439 119.212634 \nL 168.069489 123.136237 \nL 171.497219 126.938359 \nL 174.565303 130.62101 \nL 177.29478 134.187912 \nL 179.708725 137.643677 \nL 181.831205 140.993261 \nL 183.68646 144.241621 \nL 185.298269 147.393484 \nL 186.689488 150.453269 \nL 187.88171 153.424997 \nL 188.895049 156.312322 \nL 189.748005 159.118526 \nL 191.038361 164.499149 \nL 191.86726 169.587284 \nL 192.323621 174.399763 \nL 192.47324 178.950642 \nL 192.361616 183.25168 \nL 192.01666 187.312499 \nL 191.450969 191.140456 \nL 190.663518 194.740263 \nL 189.640725 198.113247 \nL 188.356883 201.256197 \nL 186.773974 204.159683 \nL 185.854947 205.516378 \nL 184.840917 206.805525 \nL 183.723254 208.022885 \nL 182.492335 209.163123 \nL 181.137484 210.21961 \nL 179.646925 211.184148 \nL 178.007714 212.046683 \nL 176.205706 212.794928 \nL 174.225517 213.413956 \nL 172.050524 213.885698 \nL 169.662892 214.188385 \nL 167.043651 214.295891 \nL 164.172859 214.177022 \nL 161.029852 213.79475 \nL 157.59363 213.105399 \nL 153.843421 212.057864 \nL 149.759483 210.592959 \nL 145.324182 208.642965 \nL 140.523432 206.131636 \nL 135.34858 202.974889 \nL 129.798774 199.082517 \nL 123.883878 194.361397 \nL 117.627954 188.720624 \nL 111.073201 182.079105 \nL 104.284164 174.375976 \nL 97.351892 165.583862 \nL 90.397356 155.724468 \nL 83.573489 144.885125 \nL 77.064629 133.233673 \nL 71.082487 121.028134 \nL 65.857662 108.616779 \nL 61.626315 96.424616 \nL 58.612602 84.924307 \nL 57.008428 74.592875 \nL 56.953343 65.860017 \nL 58.517985 59.057644 \nL 61.694122 54.381371 \nL 66.393612 51.872668 \nL 72.456511 51.425116 \nL 79.666837 52.811769 \nL 87.773006 55.725886 \nL 96.509426 59.825203 \nL 105.616183 64.771247 \nL 114.854536 70.258251 \nL 124.017443 76.030165 \nL 132.935013 81.886816 \nL 141.475828 87.682152 \nL 149.545108 93.317428 \nL 157.080919 98.732268 \nL 164.049357 103.8954 \nL 170.439425 108.796272 \nL 176.258123 113.438118 \nL 181.525989 117.832525 \nL 186.273282 121.995539 \nL 190.536803 125.944871 \nL 194.357334 129.698165 \nL 197.777639 133.27188 \nL 200.840943 136.680721 \nL 203.589819 139.937406 \nL 208.306849 146.035057 \nL 212.232473 151.627715 \nL 220.235421 163.586983 \nL 223.244682 167.563441 \nL 224.791433 169.367479 \nL 226.389833 171.041395 \nL 228.056261 172.577986 \nL 229.806234 173.968553 \nL 231.654506 175.202744 \nL 233.615146 176.268387 \nL 235.701556 177.151312 \nL 237.926465 177.835205 \nL 240.301829 178.301397 \nL 242.83869 178.528761 \nL 245.546953 178.493617 \nL 248.435056 178.169697 \nL 251.509556 177.528298 \nL 254.774593 176.538513 \nL 258.231229 175.167772 \nL 261.876648 173.382641 \nL 265.703259 171.149997 \nL 269.69765 168.438673 \nL 273.839463 165.221621 \nL 278.100281 161.478622 \nL 282.442489 157.199581 \nL 286.818382 152.388212 \nL 291.169531 147.065995 \nL 295.426663 141.276046 \nL 299.510243 135.086328 \nL 303.331908 128.591722 \nL 306.796933 121.914112 \nL 309.807791 115.199988 \nL 312.268723 108.615085 \nL 314.091075 102.336094 \nL 315.199019 96.539858 \nL 315.535062 91.391193 \nL 315.06473 87.030754 \nL 313.77985 83.564636 \nL 311.699894 81.05733 \nL 308.871236 79.528834 \nL 305.364335 78.956356 \nL 301.269245 79.279941 \nL 296.689955 80.410984 \nL 291.73827 82.242148 \nL 286.52781 84.657157 \nL 281.16868 87.539545 \nL 275.763193 90.779389 \nL 270.40272 94.277944 \nL 265.165791 97.950222 \nL 260.117243 101.725783 \nL 255.308266 105.548286 \nL 250.777115 109.374166 \nL 246.550303 113.170873 \nL 242.644033 116.914962 \nL 239.065779 120.590236 \nL 235.815843 124.186054 \nL 232.888858 127.695928 \nL 230.27513 131.116328 \nL 227.961852 134.44579 \nL 225.934143 137.684199 \nL 224.175899 140.832244 \nL 222.670523 143.891082 \nL 221.401493 146.862045 \nL 220.352801 149.746461 \nL 219.509308 152.545546 \nL 218.856987 155.260295 \nL 218.383101 157.891444 \nL 218.076323 160.439435 \nL 217.926809 162.904353 \nL 217.926226 165.285901 \nL 218.067762 167.583382 \nL 218.346112 169.795617 \nL 218.757456 171.920923 \nL 219.299414 173.957023 \nL 219.971015 175.90097 \nL 220.772645 177.749051 \nL 221.706009 179.496663 \nL 222.774077 181.138181 \nL 223.981037 182.666826 \nL 225.332238 184.074434 \nL 226.834134 185.351291 \nL 228.494205 186.485879 \nL 230.320871 187.464622 \nL 232.323372 188.271602 \nL 234.511623 188.888253 \nL 236.89602 189.293045 \nL 239.487174 189.461185 \nL 242.295586 189.36432 \nL 245.331224 188.970326 \nL 248.60296 188.243175 \nL 252.117898 187.143004 \nL 255.880504 185.626406 \nL 259.891562 183.647109 \nL 264.146942 181.157127 \nL 268.636112 178.108536 \nL 273.340524 174.456073 \nL 278.231804 170.160604 \nL 283.269915 165.193624 \nL 288.401391 159.542684 \nL 293.557905 153.217621 \nL 298.655405 146.257111 \nL 303.59414 138.734801 \nL 308.25997 130.76401 \nL 312.527311 122.499756 \nL 316.263802 114.136775 \nL 319.33683 105.902527 \nL 321.62155 98.044873 \nL 323.009751 90.814945 \nL 323.418653 84.44715 \nL 322.798504 79.138845 \nL 321.137813 75.033232 \nL 318.465422 72.208044 \nL 314.849001 70.672181 \nL 310.390188 70.370221 \nL 305.217007 71.193831 \nL 299.474721 72.997304 \nL 293.316261 75.614456 \nL 286.893274 78.874374 \nL 280.348689 82.614168 \nL 273.811124 86.687746 \nL 267.391342 90.970833 \nL 261.180518 95.362618 \nL 255.250094 99.784946 \nL 249.652756 104.179984 \nL 244.424193 108.507048 \nL 239.585306 112.739261 \nL 235.144571 116.860327 \nL 231.100393 120.861778 \nL 227.443309 124.740648 \nL 224.157957 128.497636 \nL 221.224794 132.135756 \nL 218.62153 135.659332 \nL 216.324323 139.073302 \nL 214.30872 142.382766 \nL 212.550398 145.59269 \nL 211.025723 148.707762 \nL 209.712154 151.732298 \nL 208.588527 154.67022 \nL 207.635235 157.52507 \nL 206.169544 162.998018 \nL 205.19172 168.173121 \nL 204.604494 173.068463 \nL 204.334448 177.699199 \nL 204.329156 182.078148 \nL 204.554326 186.216122 \nL 204.991314 190.121927 \nL 205.635171 193.802138 \nL 206.493308 197.260601 \nL 207.584789 200.497604 \nL 208.940251 203.508624 \nL 210.602385 206.282449 \nL 211.565337 207.574413 \nL 212.626976 208.79838 \nL 213.796562 209.949627 \nL 215.084383 211.022236 \nL 216.501808 212.008869 \nL 218.061356 212.900482 \nL 219.776742 213.685986 \nL 221.662928 214.351861 \nL 223.736143 214.881683 \nL 226.013879 215.255597 \nL 228.51485 215.449688 \nL 231.258877 215.435287 \nL 234.266697 215.178208 \nL 237.559658 214.637918 \nL 241.159245 213.766715 \nL 245.08642 212.508938 \nL 249.360687 210.800359 \nL 253.998841 208.567873 \nL 259.013294 205.729758 \nL 264.409935 202.196762 \nL 270.185454 197.874482 \nL 276.324066 192.667454 \nL 282.793719 186.485525 \nL 289.54184 179.252956 \nL 296.49095 170.920556 \nL 303.534622 161.480631 \nL 310.534433 150.983886 \nL 317.318971 139.556191 \nL 323.685863 127.412119 \nL 329.408018 114.860921 \nL 334.244741 102.300385 \nL 337.957699 90.195218 \nL 340.330757 79.039219 \nL 341.191151 69.305085 \nL 340.429068 61.389905 \nL 338.011694 55.567509 \nL 333.989081 51.958497 \nL 328.490342 50.524365 \nL 321.710937 51.086107 \nL 313.893453 53.361053 \nL 305.305386 57.008531 \nL 296.217525 61.673972 \nL 286.885693 67.024512 \nL 277.537471 72.772313 \nL 268.364233 78.6858 \nL 259.517964 84.591078 \nL 251.111872 90.366761 \nL 243.223539 95.935326 \nL 235.899528 101.253448 \nL 229.160627 106.302735 \nL 223.007048 111.081821 \nL 217.423241 115.600091 \nL 212.382121 119.872988 \nL 207.848614 123.918665 \nL 203.782547 127.755778 \nL 200.140936 131.402089 \nL 196.879734 134.87368 \nL 193.95514 138.184588 \nL 188.947116 144.369828 \nL 184.799965 150.028537 \nL 174.928159 164.150016 \nL 171.809683 167.899924 \nL 170.189927 169.579361 \nL 168.506938 171.119426 \nL 166.744822 172.511505 \nL 164.888563 173.745341 \nL 162.923948 174.808918 \nL 160.837538 175.688245 \nL 158.616689 176.367258 \nL 156.249622 176.827642 \nL 153.72558 177.04872 \nL 151.035045 177.007403 \nL 148.170056 176.678193 \nL 145.124611 176.03333 \nL 141.895199 175.043114 \nL 138.481435 173.67643 \nL 134.886818 171.901566 \nL 131.119624 169.687437 \nL 127.193865 167.005172 \nL 123.130361 163.83024 \nL 118.957776 160.145101 \nL 114.71365 155.942283 \nL 110.445203 151.227918 \nL 106.209829 146.025421 \nL 102.07515 140.378979 \nL 98.118351 134.356488 \nL 94.424679 128.051193 \nL 91.085059 121.581561 \nL 88.192604 115.088784 \nL 85.838279 108.731504 \nL 84.105844 102.677916 \nL 83.06652 97.095591 \nL 82.773866 92.140189 \nL 83.259441 87.944193 \nL 84.529858 84.60744 \nL 86.565588 82.190651 \nL 89.321713 80.712848 \nL 92.730604 80.152962 \nL 96.706137 80.455037 \nL 101.148967 81.536076 \nL 105.95229 83.295171 \nL 111.007435 85.622629 \nL 116.208891 88.408088 \nL 121.458371 91.546928 \nL 126.66779 94.944594 \nL 131.761153 98.519237 \nL 136.675384 102.20249 \nL 141.360362 105.939232 \nL 145.778289 109.686412 \nL 149.902622 113.411489 \nL 153.716729 117.090657 \nL 157.212422 120.707143 \nL 160.388478 124.249598 \nL 163.249221 127.710788 \nL 165.803226 131.086436 \nL 168.062164 134.374352 \nL 170.039797 137.573751 \nL 171.751135 140.684699 \nL 173.211739 143.70778 \nL 174.437158 146.643799 \nL 175.44248 149.493587 \nL 176.241997 152.257881 \nL 176.848943 154.937227 \nL 177.275321 157.531892 \nL 177.531772 160.041839 \nL 177.627502 162.466656 \nL 177.570239 164.805539 \nL 177.366226 167.057196 \nL 177.020222 169.219828 \nL 176.535534 171.291044 \nL 175.91404 173.267782 \nL 175.156235 175.146214 \nL 174.261279 176.921642 \nL 173.227044 178.588334 \nL 172.050166 180.139412 \nL 170.726114 181.566659 \nL 169.249252 182.860318 \nL 167.612933 184.008871 \nL 165.809589 184.998814 \nL 163.830866 185.814368 \nL 161.667782 186.437219 \nL 159.31094 186.846225 \nL 156.750786 187.01716 \nL 153.977957 186.922457 \nL 150.983722 186.531051 \nL 147.760512 185.808321 \nL 144.302616 184.716202 \nL 140.607016 183.21356 \nL 136.6744 181.256925 \nL 132.510348 178.801681 \nL 128.126727 175.803851 \nL 123.543207 172.222625 \nL 118.788933 168.023749 \nL 113.904185 163.183712 \nL 108.941917 157.694852 \nL 103.96901 151.571032 \nL 99.066879 144.853521 \nL 94.331281 137.61634 \nL 89.87089 129.970205 \nL 85.804416 122.063876 \nL 82.256096 114.081862 \nL 79.349609 106.237642 \nL 77.200674 98.762121 \nL 75.908969 91.888023 \nL 75.550183 85.831813 \nL 76.169233 80.775579 \nL 77.775596 76.851766 \nL 80.341526 74.133189 \nL 83.803485 72.629954 \nL 88.066531 72.293452 \nL 93.011188 73.026277 \nL 98.501727 74.696118 \nL 104.394904 77.150798 \nL 110.548126 80.232552 \nL 116.826363 83.789704 \nL 123.107406 87.684889 \nL 129.285291 91.800051 \nL 135.272044 96.038206 \nL 140.998014 100.323111 \nL 146.411098 104.597367 \nL 151.475219 108.819677 \nL 156.168372 112.961898 \nL 160.480472 117.00614 \nL 164.411169 120.9422 \nL 167.967809 124.765402 \nL 171.163564 128.474863 \nL 174.015807 132.072164 \nL 176.54472 135.560376 \nL 178.77214 138.943354 \nL 180.72064 142.22528 \nL 182.412788 145.410345 \nL 183.870588 148.502567 \nL 185.115067 151.505689 \nL 186.165974 154.423135 \nL 187.041591 157.258006 \nL 187.758607 160.013076 \nL 188.332069 162.690834 \nL 189.10025 167.823003 \nL 189.433953 172.669355 \nL 189.396716 177.241294 \nL 189.030073 181.546953 \nL 188.355839 185.590965 \nL 187.378035 189.373816 \nL 186.084269 192.890661 \nL 185.31074 194.545915 \nL 184.446497 196.129458 \nL 183.485613 197.638219 \nL 182.421172 199.068275 \nL 181.245249 200.414698 \nL 179.948881 201.67136 \nL 178.522042 202.830726 \nL 176.953619 203.883577 \nL 175.231392 204.818712 \nL 173.342028 205.622597 \nL 171.271103 206.278942 \nL 169.003138 206.768241 \nL 166.521701 207.067249 \nL 163.809554 207.148399 \nL 160.848889 206.979177 \nL 157.621681 206.521501 \nL 154.110184 205.731131 \nL 150.297605 204.55715 \nL 146.169031 202.941672 \nL 141.712613 200.819892 \nL 136.921124 198.120658 \nL 131.793886 194.767878 \nL 126.339125 190.683019 \nL 120.576771 185.789088 \nL 114.541586 180.016467 \nL 108.28658 173.310821 \nL 101.886354 165.643253 \nL 95.440022 157.022288 \nL 89.073106 147.506841 \nL 82.937649 137.218514 \nL 77.209817 126.350686 \nL 72.084149 115.17134 \nL 67.764146 104.016565 \nL 64.449263 93.272533 \nL 62.3192 83.345883 \nL 61.517365 74.625407 \nL 62.13574 67.441006 \nL 64.203909 62.027525 \nL 67.684154 58.500973 \nL 72.473845 56.852107 \nL 78.41464 56.957818 \nL 85.3069 58.606781 \nL 92.926835 61.5328 \nL 101.043831 65.448825 \nL 109.43561 70.076012 \nL 117.899988 75.164472 \nL 126.262582 80.505118 \nL 134.380692 85.933621 \nL 142.143977 91.328596 \nL 149.472803 96.606339 \nL 156.315062 101.713851 \nL 162.642218 106.621746 \nL 168.445121 111.317749 \nL 173.729951 115.801228 \nL 178.514532 120.078939 \nL 182.825129 124.161817 \nL 186.693766 128.062743 \nL 190.156034 131.795015 \nL 193.249362 135.3714 \nL 196.011685 138.803607 \nL 198.480459 142.102 \nL 200.691944 145.275555 \nL 204.479457 151.277167 \nL 207.626567 156.854305 \nL 216.476128 173.324418 \nL 219.028618 177.155666 \nL 220.388706 178.912828 \nL 221.823441 180.557379 \nL 223.346503 182.082516 \nL 224.971408 183.479973 \nL 226.711606 184.739807 \nL 228.580543 185.850187 \nL 230.591693 186.79712 \nL 232.758547 187.564172 \nL 235.094541 188.132181 \nL 237.612946 188.478955 \nL 240.326647 188.578983 \nL 243.247864 188.403178 \nL 246.387743 187.91871 \nL 249.755821 187.088952 \nL 253.359329 185.87362 \nL 257.202334 184.229218 \nL 261.284669 182.109839 \nL 265.600681 179.468532 \nL 270.137747 176.259317 \nL 274.874654 172.43999 \nL 279.779827 167.975878 \nL 284.809577 162.844551 \nL 289.906523 157.041387 \nL 294.998337 150.585744 \nL 299.997241 143.527272 \nL 304.800451 135.951436 \nL 309.291973 127.983286 \nL 313.346066 119.788155 \nL 316.832412 111.568154 \nL 319.623001 103.553665 \nL 321.600262 95.989713 \nL 322.66577 89.118275 \nL 322.748471 83.158534 \nL 321.811444 78.287965 \nL 319.85604 74.627302 \nL 316.922816 72.231927 \nL 313.088991 71.09099 \nL 308.462847 71.13401 \nL 303.175803 72.243275 \nL 297.373298 74.269539 \nL 291.20559 77.048282 \nL 284.819435 80.414084 \nL 278.351353 84.212016 \nL 271.92277 88.304998 \nL 265.63707 92.57779 \nL 259.578377 96.937808 \nL 253.811724 101.31393 \nL 248.384246 105.654007 \nL 243.327023 109.92169 \nL 238.657284 114.093229 \nL 234.380723 118.154473 \nL 230.493748 122.098294 \nL 226.985588 125.922471 \nL 223.840141 129.628048 \nL 221.037584 133.218077 \nL 218.55572 136.696749 \nL 216.371076 140.068752 \nL 214.459776 143.33888 \nL 212.798226 146.511793 \nL 211.363616 149.591864 \nL 210.134298 152.583111 \nL 209.09003 155.4892 \nL 208.212142 158.313421 \nL 206.889121 163.72783 \nL 206.049173 168.846737 \nL 205.60205 173.686783 \nL 205.48112 178.261659 \nL 205.640673 182.582518 \nL 206.053305 186.65812 \nL 206.707704 190.494569 \nL 207.607003 194.094802 \nL 208.767774 197.457634 \nL 210.219661 200.576294 \nL 211.067661 202.039916 \nL 212.005629 203.436306 \nL 213.04115 204.761933 \nL 214.182767 206.012318 \nL 215.440026 207.18185 \nL 216.823531 208.263573 \nL 218.344986 209.248914 \nL 220.017246 210.127385 \nL 221.85435 210.886217 \nL 223.871531 211.509934 \nL 226.085219 211.979862 \nL 228.512979 212.273564 \nL 231.173423 212.364215 \nL 234.08601 212.219895 \nL 237.270782 211.802851 \nL 240.747912 211.068753 \nL 244.537113 209.965975 \nL 248.656784 208.435044 \nL 253.122886 206.408354 \nL 257.94742 203.81035 \nL 263.136528 200.558459 \nL 268.688058 196.565117 \nL 274.588662 191.741299 \nL 280.810333 186.002005 \nL 287.306609 179.27416 \nL 294.008552 171.507166 \nL 300.82095 162.68605 \nL 307.619356 152.846529 \nL 314.248733 142.090394 \nL 320.524717 130.59861 \nL 326.238412 118.638606 \nL 331.165474 106.561628 \nL 335.079731 94.786926 \nL 337.770497 83.771275 \nL 339.061909 73.96624 \nL 338.831547 65.769098 \nL 337.025089 59.476817 \nL 333.664312 55.252919 \nL 328.846493 53.114514 \nL 322.735415 52.941574 \nL 315.545579 54.505014 \nL 307.522477 57.505859 \nL 298.922258 61.616524 \nL 289.993535 66.516563 \nL 280.963208 71.918619 \nL 272.027125 77.583117 \nL 263.345302 83.32334 \nL 255.041031 89.003148 \nL 247.202805 94.53053 \nL 239.88801 99.849111 \nL 233.127554 104.929535 \nL 226.930708 109.761715 \nL 221.289764 114.34839 \nL 216.184232 118.700121 \nL 211.584458 122.831674 \nL 207.454624 126.759439 \nL 203.755171 130.499788 \nL 200.444699 134.068058 \nL 197.481401 137.478009 \nL 194.824129 140.741602 \nL 190.270604 146.868245 \nL 186.490672 152.508076 \nL 177.403479 166.769483 \nL 174.493824 170.633637 \nL 172.9748 172.385077 \nL 171.391177 174.008109 \nL 169.727584 175.495021 \nL 167.969277 176.836521 \nL 166.102054 178.021597 \nL 164.112202 179.037303 \nL 161.986483 179.868559 \nL 159.712183 180.497969 \nL 157.277207 180.905602 \nL 154.670265 181.06882 \nL 151.881123 180.96217 \nL 148.900964 180.55735 \nL 145.722858 179.82331 \nL 142.342351 178.726521 \nL 138.758203 177.231496 \nL 134.973265 175.301701 \nL 130.995495 172.900795 \nL 126.839122 169.994487 \nL 122.525887 166.552921 \nL 118.086336 162.553728 \nL 113.561049 157.985732 \nL 109.001696 152.853113 \nL 104.471716 147.179926 \nL 100.04644 141.014397 \nL 95.812433 134.432586 \nL 91.865802 127.540499 \nL 88.309331 120.474018 \nL 85.248407 113.395807 \nL 82.785799 106.488812 \nL 81.015588 99.946384 \nL 80.016789 93.95966 \nL 79.847279 88.703695 \nL 80.538806 84.323889 \nL 82.093768 80.924961 \nL 84.484201 78.564032 \nL 87.653188 77.248682 \nL 91.518534 76.940254 \nL 95.978234 77.561416 \nL 100.916994 79.006476 \nL 106.213099 81.152842 \nL 111.74492 83.871859 \nL 117.396461 87.037911 \nL 123.061708 90.53528 \nL 128.647572 94.26229 \nL 134.075535 98.133381 \nL 139.282143 102.079278 \nL 144.218625 106.045929 \nL 148.84982 109.992697 \nL 153.152728 113.890216 \nL 157.11481 117.718182 \nL 160.732244 121.463344 \nL 164.00823 125.117711 \nL 166.951408 128.677092 \nL 169.574452 132.139956 \nL 171.892842 135.506505 \nL 173.923831 138.778021 \nL 175.685587 141.956398 \nL 177.196502 145.043789 \nL 178.474645 148.042404 \nL 179.537352 150.954338 \nL 180.400906 153.781507 \nL 181.080323 156.525573 \nL 181.5892 159.187935 \nL 181.939631 161.769683 \nL 182.142149 164.271593 \nL 182.205726 166.694103 \nL 182.137772 169.037321 \nL 181.944171 171.300948 \nL 181.629315 173.484277 \nL 181.196155 175.586141 \nL 180.646234 177.604845 \nL 179.979745 179.538104 \nL 179.195569 181.382932 \nL 178.291319 183.135553 \nL 177.263372 184.791266 \nL 176.106909 186.344305 \nL 174.815947 187.787647 \nL 173.383381 189.112828 \nL 171.801026 190.309698 \nL 170.059671 191.366155 \nL 168.149154 192.267858 \nL 166.058465 192.997889 \nL 163.775874 193.536409 \nL 161.289132 193.860261 \nL 158.585709 193.942607 \nL 155.653144 193.752569 \nL 152.4795 193.254911 \nL 149.053929 192.409858 \nL 145.367444 191.173069 \nL 141.413845 189.495914 \nL 137.190897 187.326148 \nL 132.701743 184.60915 \nL 127.956558 181.289908 \nL 122.974484 177.315946 \nL 117.78571 172.641348 \nL 112.43364 167.232049 \nL 112.43364 167.232049 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd49988e703\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.945379pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.945379\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T17:31:48.657058</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.945379 \nL 292.718955 286.945379 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 30.54866 208.760512 \nL 118.256417 134.931965 \nL 117.164957 28.616746 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 63.527536 219.531413 \nL 149.468301 144.004028 \nL 149.710524 36.866098 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.303017 230.562485 \nL 181.371076 153.276905 \nL 183.007932 45.306021 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 131.904318 241.86327 \nL 213.987936 162.757339 \nL 217.083538 53.943193 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.362103 253.443783 \nL 247.34313 172.452377 \nL 251.964946 62.784614 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 31.312284 208.117727 \nL 29.018141 210.048836 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(12.461581 232.029623)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 64.2765 218.873201 \nL 62.026362 220.850691 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(45.474003 243.028662)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 98.036386 229.888283 \nL 95.833063 231.913846 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(86.657964 254.294393)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 132.621101 241.172489 \nL 130.46757 243.247899 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(118.119496 265.836634)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 168.06125 252.735803 \nL 165.960666 254.862923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(153.623126 277.665691)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 35.798483 84.83382 \nL 40.546469 196.588233 \nL 188.796381 244.181505 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 51.945916 73.050159 \nL 55.925898 183.69689 \nL 202.725998 229.886291 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 67.611908 61.617832 \nL 70.866359 171.1735 \nL 216.237414 216.020254 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 82.817673 50.521356 \nL 85.38638 159.00253 \nL 229.349185 202.564352 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.5832 39.746148 \nL 99.503463 147.169311 \nL 242.078781 189.500654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 111.927334 29.278452 \nL 113.234151 135.659976 \nL 254.442674 176.812259 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 187.547523 243.780579 \nL 191.297303 244.984386 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(191.037176 265.104028)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 201.490302 229.497489 \nL 205.200515 230.664877 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(204.779867 250.597267)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 215.014658 215.643035 \nL 218.685973 216.77563 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(225.480825 236.526285)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 228.139148 202.198206 \nL 231.772226 203.297542 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(235.234939 222.871737)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 240.881249 189.145101 \nL 244.476742 190.212621 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(247.79306 209.615406)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 253.257431 176.466845 \nL 256.815984 177.503911 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(259.990204 196.740121)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#pd1ae6d9c3a)\" d=\"M 142.357406 191.095162 \nL 142.636568 190.287094 \nL 143.213019 189.644306 \nL 144.083588 189.070203 \nL 146.004379 188.176164 \nL 158.692384 182.942179 \nL 163.768723 180.544345 \nL 170.059215 177.270885 \nL 173.721523 175.205718 \nL 177.756804 172.790152 \nL 182.179388 169.968825 \nL 186.994035 166.682315 \nL 192.191273 162.869716 \nL 197.741496 158.473015 \nL 203.587851 153.443938 \nL 209.638199 147.753798 \nL 215.756858 141.406714 \nL 221.757577 134.455825 \nL 227.399873 127.021011 \nL 232.391811 119.304825 \nL 236.40265 111.601176 \nL 239.088216 104.289682 \nL 240.129701 97.808688 \nL 239.282314 92.60366 \nL 236.424623 89.055718 \nL 231.595116 87.405664 \nL 225.002112 87.696735 \nL 216.999754 89.758248 \nL 208.034275 93.239201 \nL 198.575741 97.68165 \nL 189.054822 102.608621 \nL 163.099175 116.611783 \nL 155.834454 120.32923 \nL 149.334063 123.466897 \nL 143.569531 126.057237 \nL 138.489452 128.162341 \nL 134.031184 129.856508 \nL 126.716539 132.305853 \nL 121.124201 133.915891 \nL 107.647184 137.578773 \nL 103.532843 138.741282 \nL 101.344996 139.099546 \nL 99.93269 139.148841 \nL 98.551341 139.023469 \nL 97.212652 138.709809 \nL 95.940464 138.201848 \nL 94.767992 137.503068 \nL 93.73461 136.628082 \nL 92.882056 135.603765 \nL 92.250092 134.469379 \nL 91.871908 133.27539 \nL 91.769744 132.080675 \nL 91.951396 130.948238 \nL 92.408196 129.939863 \nL 93.114901 129.110503 \nL 94.031527 128.5033 \nL 95.106852 128.146149 \nL 96.28292 128.050205 \nL 97.499784 128.210481 \nL 98.699794 128.608087 \nL 99.830909 129.213498 \nL 100.848864 129.99018 \nL 101.718171 130.897933 \nL 102.412195 131.895641 \nL 102.912589 132.943236 \nL 103.208373 134.002889 \nL 103.29494 135.039555 \nL 103.173146 136.021074 \nL 102.848649 136.917973 \nL 102.331532 137.703178 \nL 101.636244 138.351756 \nL 100.781835 138.840854 \nL 99.792353 139.149922 \nL 98.697371 139.261337 \nL 97.532396 139.161451 \nL 96.338988 138.842105 \nL 95.16434 138.302511 \nL 94.060077 137.551331 \nL 93.080083 136.608582 \nL 92.277332 135.506961 \nL 91.699842 134.292044 \nL 91.386176 133.020906 \nL 91.361136 131.758911 \nL 91.632428 130.574831 \nL 92.188985 129.534852 \nL 93.001453 128.696434 \nL 94.024746 128.103088 \nL 95.20234 127.781016 \nL 96.471484 127.738036 \nL 97.768423 127.964775 \nL 99.032937 128.437564 \nL 100.211689 129.122286 \nL 101.260198 129.978382 \nL 102.143606 130.962431 \nL 102.83646 132.030914 \nL 103.321887 133.142095 \nL 103.590468 134.257071 \nL 103.639108 135.340131 \nL 103.47006 136.358691 \nL 103.090251 137.282944 \nL 102.51096 138.085457 \nL 101.747838 138.740844 \nL 100.821246 139.225699 \nL 99.756807 139.518835 \nL 98.586027 139.601987 \nL 97.346829 139.461024 \nL 96.083715 139.087658 \nL 94.847317 138.481597 \nL 93.693044 137.652885 \nL 92.678626 136.624047 \nL 91.860528 135.431538 \nL 91.289375 134.125849 \nL 91.004965 132.769823 \nL 91.031548 131.434838 \nL 91.374326 130.195173 \nL 92.01794 129.121239 \nL 92.927383 128.272799 \nL 94.051276 127.693469 \nL 95.326895 127.407443 \nL 96.686042 127.418869 \nL 98.06074 127.713702 \nL 99.387977 128.263287 \nL 100.61298 129.028787 \nL 101.691013 129.965602 \nL 102.587818 131.027113 \nL 103.279095 132.167474 \nL 103.7494 133.343382 \nL 103.99081 134.514943 \nL 104.001644 135.645843 \nL 103.785435 136.703105 \nL 103.350258 137.656585 \nL 102.708448 138.478466 \nL 101.876724 139.142853 \nL 100.876642 139.625653 \nL 99.735298 139.904901 \nL 98.486089 139.961496 \nL 97.169365 139.780611 \nL 95.832671 139.353612 \nL 94.53026 138.680509 \nL 93.321604 137.772591 \nL 92.268626 136.654871 \nL 91.431644 135.367668 \nL 90.864252 133.966674 \nL 90.607728 132.520882 \nL 90.685873 131.108158 \nL 91.101333 129.808743 \nL 91.834236 128.697598 \nL 92.843613 127.83697 \nL 94.071438 127.270568 \nL 95.448487 127.020429 \nL 96.900905 127.086797 \nL 98.356385 127.450695 \nL 99.749076 128.078285 \nL 101.022816 128.925887 \nL 102.132665 129.944793 \nL 103.045037 131.085205 \nL 103.736826 132.298993 \nL 104.194026 133.541343 \nL 104.410184 134.771431 \nL 104.384978 135.952407 \nL 104.123138 137.050925 \nL 103.633766 138.036518 \nL 102.930119 138.880933 \nL 102.029838 139.557689 \nL 100.955534 140.041918 \nL 99.735649 140.310671 \nL 98.405386 140.343814 \nL 97.007498 140.125541 \nL 95.592639 139.646587 \nL 94.218862 138.906966 \nL 92.949994 137.918992 \nL 91.852553 136.710041 \nL 90.991186 135.324341 \nL 90.422918 133.822999 \nL 90.190912 132.281562 \nL 90.318781 130.784911 \nL 90.806674 129.41979 \nL 91.630069 128.266206 \nL 92.741781 127.389214 \nL 94.076803 126.832741 \nL 95.559057 126.616619 \nL 97.108755 126.737028 \nL 98.649062 127.169869 \nL 100.111191 127.875904 \nL 101.437547 128.806473 \nL 102.58299 129.908682 \nL 103.514606 131.129519 \nL 104.21049 132.418585 \nL 104.658063 133.729594 \nL 104.852292 135.020836 \nL 104.794148 136.254947 \nL 104.489446 137.398247 \nL 103.948181 138.419926 \nL 103.184379 139.291285 \nL 102.216421 139.98518 \nL 101.067783 140.475824 \nL 99.76807 140.739123 \nL 98.354138 140.75363 \nL 96.871068 140.50225 \nL 95.372619 139.974691 \nL 93.920793 139.170583 \nL 92.584074 138.10289 \nL 91.434029 136.801078 \nL 90.540213 135.313191 \nL 89.963727 133.705895 \nL 89.750216 132.061695 \nL 89.923568 130.473066 \nL 90.481677 129.033975 \nL 91.395404 127.830143 \nL 92.611125 126.929965 \nL 94.056499 126.377921 \nL 95.648213 126.191748 \nL 97.300166 126.363494 \nL 98.93069 126.863762 \nL 100.467845 127.647745 \nL 101.852459 128.661605 \nL 103.039108 129.84815 \nL 103.995502 131.151064 \nL 104.7009 132.517649 \nL 105.144097 133.900135 \nL 105.321432 135.255941 \nL 105.235075 136.547207 \nL 104.891816 137.739926 \nL 104.302395 138.802965 \nL 103.481414 139.707143 \nL 102.447772 140.424592 \nL 101.225566 140.928488 \nL 99.845312 141.193385 \nL 98.34528 141.19624 \nL 96.77269 140.918269 \nL 95.184341 140.347681 \nL 93.646263 139.483151 \nL 92.231879 138.337748 \nL 91.01831 136.942561 \nL 90.08074 135.34917 \nL 89.485185 133.629806 \nL 89.280644 131.874291 \nL 89.492032 130.183358 \nL 89.753674 129.394257 \nL 90.115503 128.659077 \nL 90.572381 127.988973 \nL 91.117486 127.393828 \nL 91.742494 126.882016 \nL 92.437825 126.460182 \nL 93.996516 125.903779 \nL 95.702516 125.740579 \nL 97.462914 125.958584 \nL 99.190739 126.52299 \nL 100.810529 127.383205 \nL 102.26126 128.480016 \nL 103.497026 129.751703 \nL 104.486036 131.138507 \nL 105.208619 132.585314 \nL 105.654884 134.042813 \nL 105.822459 135.467523 \nL 105.714629 136.821084 \nL 105.339033 138.069175 \nL 104.706996 139.180349 \nL 103.833481 140.124947 \nL 102.737642 140.874317 \nL 101.443885 141.400502 \nL 99.983284 141.676506 \nL 98.395176 141.677374 \nL 96.728607 141.382184 \nL 95.043209 140.777038 \nL 93.409016 139.858932 \nL 91.904618 138.640228 \nL 90.613237 137.152905 \nL 89.61653 135.451526 \nL 88.986538 133.613682 \nL 88.776827 131.736736 \nL 88.839247 130.817687 \nL 89.014483 129.930423 \nL 89.300905 129.08881 \nL 89.694805 128.306019 \nL 90.190458 127.594146 \nL 90.780286 126.963856 \nL 91.455086 126.424107 \nL 92.204298 125.981929 \nL 93.016319 125.642282 \nL 93.878841 125.408033 \nL 95.704577 125.257003 \nL 97.581078 125.513048 \nL 99.415409 126.135951 \nL 101.127975 127.06912 \nL 102.655441 128.247646 \nL 103.951089 129.604987 \nL 104.983392 131.077659 \nL 105.73361 132.607927 \nL 106.193059 134.144798 \nL 106.360579 135.643812 \nL 106.240481 137.066079 \nL 105.84114 138.376982 \nL 105.174298 139.54477 \nL 104.255052 140.539326 \nL 103.102504 141.331225 \nL 101.740972 141.891301 \nL 100.20164 142.190856 \nL 98.524407 142.202703 \nL 96.759655 141.903275 \nL 94.969458 141.275824 \nL 93.227646 140.31474 \nL 91.618092 139.030595 \nL 90.230631 137.455118 \nL 89.154383 135.6449 \nL 88.468811 133.682334 \nL 88.292252 132.676024 \nL 88.233718 131.672373 \nL 88.296092 130.686696 \nL 88.480029 129.734481 \nL 88.783866 128.830924 \nL 89.203618 127.990478 \nL 89.733074 127.226411 \nL 90.363968 126.550405 \nL 91.086225 125.972226 \nL 91.88829 125.499487 \nL 92.75747 125.137501 \nL 93.680321 124.889234 \nL 94.643023 124.755371 \nL 96.632937 124.823042 \nL 98.621819 125.307148 \nL 100.516857 126.152314 \nL 102.242396 127.290576 \nL 103.741353 128.649728 \nL 104.974204 130.159569 \nL 105.916507 131.755725 \nL 106.555823 133.381363 \nL 106.888661 134.987338 \nL 106.917882 136.531295 \nL 106.650769 137.976232 \nL 106.097877 139.288885 \nL 105.272655 140.438166 \nL 104.19182 141.393866 \nL 102.876405 142.125762 \nL 101.353395 142.60335 \nL 99.657753 142.796337 \nL 97.83463 142.67616 \nL 95.941299 142.218737 \nL 94.048295 141.408507 \nL 92.239046 140.243693 \nL 90.607194 138.742194 \nL 89.251055 136.947059 \nL 88.706337 135.960622 \nL 88.265105 134.929919 \nL 87.936789 133.868307 \nL 87.729193 132.790608 \nL 87.648144 131.712781 \nL 87.697223 130.651527 \nL 87.877563 129.623836 \nL 88.187723 128.646464 \nL 88.623675 127.735419 \nL 89.178889 126.905446 \nL 89.844531 126.169557 \nL 90.609731 125.538659 \nL 91.461945 125.021264 \nL 92.38735 124.623313 \nL 93.371289 124.348122 \nL 94.398681 124.196448 \nL 95.454442 124.16665 \nL 96.523849 124.254932 \nL 98.648349 124.761625 \nL 100.672002 125.655239 \nL 102.513955 126.861124 \nL 104.114041 128.300696 \nL 105.431399 129.89835 \nL 106.441512 131.585556 \nL 107.132625 133.302577 \nL 107.502266 134.998436 \nL 107.554302 136.629745 \nL 107.296782 138.159019 \nL 106.740634 139.552772 \nL 105.899215 140.779719 \nL 104.788692 141.809258 \nL 103.429164 142.610363 \nL 101.846449 143.151095 \nL 100.074378 143.398924 \nL 98.157344 143.322124 \nL 96.152724 142.892481 \nL 94.132581 142.089541 \nL 92.183821 140.90632 \nL 90.405982 139.355992 \nL 89.614444 138.454451 \nL 88.905769 137.478512 \nL 88.292934 136.438138 \nL 87.788083 135.345358 \nL 87.402091 134.214155 \nL 87.144161 133.060258 \nL 87.021409 131.900828 \nL 87.038547 130.754026 \nL 87.197604 129.638506 \nL 87.497758 128.572844 \nL 87.935296 127.574934 \nL 88.503674 126.661388 \nL 89.193707 125.847002 \nL 89.993886 125.144271 \nL 90.890743 124.563057 \nL 91.869326 124.110354 \nL 92.913675 123.79021 \nL 94.00732 123.603781 \nL 95.133743 123.549501 \nL 96.276814 123.623367 \nL 97.421146 123.819275 \nL 99.65744 124.544648 \nL 101.743571 125.649741 \nL 103.603353 127.049561 \nL 105.183193 128.659438 \nL 106.449362 130.401197 \nL 107.384042 132.206285 \nL 107.981181 134.016453 \nL 108.242762 135.782876 \nL 108.175871 137.464402 \nL 107.790696 139.025388 \nL 107.099481 140.433571 \nL 106.116405 141.658102 \nL 104.858323 142.667945 \nL 103.346307 143.430808 \nL 101.60786 143.912723 \nL 99.679682 144.078622 \nL 97.610651 143.89412 \nL 95.464594 143.328898 \nL 93.322079 142.361844 \nL 91.280311 140.987896 \nL 90.331444 140.153076 \nL 89.450019 139.2259 \nL 88.650849 138.213697 \nL 87.948492 137.126097 \nL 87.356811 135.975082 \nL 86.888511 134.774929 \nL 86.554661 133.54203 \nL 86.364211 132.294597 \nL 86.323574 131.052223 \nL 86.436274 129.835339 \nL 86.702709 128.664581 \nL 87.120029 127.560104 \nL 87.682165 126.54088 \nL 88.379997 125.62405 \nL 89.201661 124.824333 \nL 90.132961 124.153581 \nL 91.157871 123.620473 \nL 92.259098 123.230369 \nL 93.418642 122.985338 \nL 94.618341 122.884318 \nL 95.84038 122.923419 \nL 97.06772 123.096309 \nL 98.284435 123.394648 \nL 99.475989 123.808562 \nL 101.733287 124.938671 \nL 103.755379 126.393481 \nL 105.483474 128.080136 \nL 106.881095 129.913335 \nL 107.92951 131.818935 \nL 108.622935 133.734716 \nL 108.964213 135.609341 \nL 108.961393 137.400284 \nL 108.625368 139.071377 \nL 107.968556 140.590323 \nL 107.004608 141.926448 \nL 105.749046 143.048784 \nL 104.220792 143.924654 \nL 102.444482 144.518922 \nL 100.453452 144.794126 \nL 98.29317 144.711898 \nL 96.024664 144.236 \nL 93.727254 143.337361 \nL 92.597808 142.72411 \nL 91.499583 142.001226 \nL 90.447613 141.170553 \nL 89.457668 140.235964 \nL 88.545959 139.20363 \nL 87.72875 138.082235 \nL 87.021897 136.883106 \nL 86.440333 135.620236 \nL 85.99752 134.310186 \nL 85.70489 132.971829 \nL 85.571314 131.62596 \nL 85.602637 130.294728 \nL 85.801326 129.000978 \nL 86.166242 127.767472 \nL 86.692575 126.61608 \nL 87.371955 125.566978 \nL 88.192723 124.637934 \nL 89.140356 123.843694 \nL 90.198001 123.195533 \nL 91.347102 122.701012 \nL 92.568043 122.363919 \nL 93.840807 122.184398 \nL 95.145573 122.159242 \nL 96.463237 122.282306 \nL 97.775863 122.545008 \nL 99.066996 122.936868 \nL 100.321896 123.446055 \nL 102.673258 124.76528 \nL 104.748924 126.398837 \nL 106.495465 128.247337 \nL 107.882521 130.222463 \nL 108.897252 132.249582 \nL 109.538915 134.267582 \nL 109.814261 136.227007 \nL 109.734056 138.087391 \nL 109.31079 139.81439 \nL 108.557547 141.377037 \nL 107.487928 142.745275 \nL 106.116988 143.88791 \nL 104.463089 144.771086 \nL 102.550613 145.357473 \nL 100.413446 145.60643 \nL 98.098958 145.475535 \nL 95.672033 144.924048 \nL 94.44231 144.479667 \nL 93.218337 143.918647 \nL 92.014298 143.239336 \nL 90.845655 142.441707 \nL 89.728983 141.527706 \nL 88.681713 140.501598 \nL 87.721765 139.370274 \nL 86.867104 138.143503 \nL 86.13519 136.834081 \nL 85.542391 135.457853 \nL 85.103324 134.033581 \nL 84.830214 132.582629 \nL 84.732285 131.128462 \nL 84.815245 129.695983 \nL 85.080886 128.310707 \nL 85.526877 126.997853 \nL 86.146742 125.781385 \nL 86.930033 124.683104 \nL 87.862708 123.721813 \nL 88.927673 122.912673 \nL 90.105445 122.266765 \nL 91.374905 121.790866 \nL 92.714049 121.487485 \nL 94.100732 121.355081 \nL 95.513331 121.388498 \nL 96.931307 121.579488 \nL 98.335654 121.917336 \nL 99.709209 122.389491 \nL 101.036855 122.982198 \nL 102.305597 123.681055 \nL 104.624897 125.339279 \nL 106.603564 127.252616 \nL 108.205212 129.321547 \nL 109.414228 131.462339 \nL 110.229359 133.607202 \nL 110.658168 135.702317 \nL 110.712758 137.70481 \nL 110.406837 139.579479 \nL 109.754082 141.295589 \nL 108.767669 142.824028 \nL 107.460904 144.134822 \nL 105.848846 145.195164 \nL 103.950902 145.968024 \nL 101.794355 146.411635 \nL 99.418663 146.480144 \nL 96.880216 146.126112 \nL 95.573359 145.77652 \nL 94.256917 145.305361 \nL 92.944526 144.708893 \nL 91.651436 143.984722 \nL 90.394419 143.132187 \nL 89.191585 142.152779 \nL 88.062108 141.050565 \nL 87.025831 139.832553 \nL 86.102749 138.509023 \nL 85.312399 137.093719 \nL 84.673164 135.60391 \nL 84.201512 134.060253 \nL 83.91124 132.486453 \nL 83.81275 130.908689 \nL 83.912441 129.35484 \nL 84.212247 127.85351 \nL 84.709384 126.43296 \nL 85.396331 125.119974 \nL 86.261059 123.938777 \nL 87.287496 122.910087 \nL 88.456167 122.05036 \nL 89.745006 121.371299 \nL 91.130226 120.879643 \nL 92.58723 120.577244 \nL 94.091437 120.461402 \nL 95.619059 120.525378 \nL 97.147712 120.759079 \nL 98.656895 121.149787 \nL 100.128311 121.682925 \nL 101.546062 122.342775 \nL 102.896685 123.113114 \nL 104.169108 123.977764 \nL 106.446206 125.928 \nL 108.330402 128.078742 \nL 109.80038 130.333134 \nL 110.852832 132.613274 \nL 111.495647 134.858344 \nL 111.742506 137.021269 \nL 111.60903 139.064922 \nL 111.110394 140.958441 \nL 110.260278 142.67385 \nL 109.070996 144.183143 \nL 107.554706 145.455793 \nL 105.72568 146.456781 \nL 103.603599 147.145288 \nL 101.217876 147.474339 \nL 98.612837 147.391973 \nL 97.247395 147.179661 \nL 95.853363 146.844547 \nL 94.442923 146.380703 \nL 93.030117 145.783085 \nL 91.630868 145.047928 \nL 90.262935 144.173197 \nL 88.945762 143.159077 \nL 87.700221 142.008478 \nL 86.5482 140.727511 \nL 85.512068 139.325909 \nL 84.614009 137.81735 \nL 83.875219 136.219601 \nL 83.315045 134.554466 \nL 82.950075 132.847476 \nL 82.793257 131.127302 \nL 82.853131 129.424918 \nL 83.133221 127.772495 \nL 83.631663 126.202161 \nL 84.341126 124.744653 \nL 85.249004 123.428002 \nL 86.337928 122.276359 \nL 87.586499 121.309041 \nL 88.970222 120.539911 \nL 90.46254 119.977079 \nL 92.035899 119.622959 \nL 93.662757 119.474658 \nL 95.316477 119.524589 \nL 96.97207 119.761278 \nL 98.606748 120.17025 \nL 100.2003 120.734928 \nL 101.735284 121.437498 \nL 103.19708 122.259662 \nL 104.573816 123.183274 \nL 105.856189 124.190841 \nL 108.112088 126.393155 \nL 109.932214 128.750538 \nL 111.307914 131.169366 \nL 112.245935 133.577274 \nL 112.761414 135.919641 \nL 112.872651 138.155223 \nL 112.597643 140.251814 \nL 111.952139 142.182253 \nL 110.949049 143.920933 \nL 109.599029 145.440789 \nL 107.912144 146.710751 \nL 105.900653 147.693655 \nL 103.582926 148.344859 \nL 102.317858 148.529959 \nL 100.988508 148.611889 \nL 99.60132 148.583082 \nL 98.164245 148.435782 \nL 96.686938 148.162242 \nL 95.180965 147.754999 \nL 93.65996 147.207197 \nL 92.139723 146.513008 \nL 90.638272 145.668111 \nL 89.175761 144.670244 \nL 87.774297 143.519794 \nL 86.457597 142.220407 \nL 85.250488 140.779572 \nL 84.178225 139.209096 \nL 83.265662 137.525479 \nL 82.536267 135.750032 \nL 82.011067 133.908744 \nL 81.707558 132.031817 \nL 81.638687 130.152863 \nL 81.811988 128.307787 \nL 82.228952 126.533371 \nL 82.884722 124.865708 \nL 83.768141 123.338578 \nL 84.86217 121.981921 \nL 86.144638 120.820526 \nL 87.589254 119.873086 \nL 89.166826 119.151644 \nL 90.846514 118.661498 \nL 92.597088 118.401491 \nL 94.388043 118.364686 \nL 96.190564 118.539257 \nL 97.978251 118.909574 \nL 99.727614 119.457258 \nL 101.418371 120.162269 \nL 103.033526 121.00385 \nL 104.559313 121.961318 \nL 105.984994 123.014696 \nL 107.3026 124.14519 \nL 108.506601 125.335476 \nL 110.561801 127.834467 \nL 112.14212 130.406681 \nL 113.257005 132.972483 \nL 113.925462 135.473369 \nL 114.169837 137.866828 \nL 114.011635 140.12122 \nL 113.469074 142.211253 \nL 112.556127 144.114033 \nL 111.282778 145.805697 \nL 109.656409 147.258478 \nL 107.684289 148.438199 \nL 105.377267 149.302209 \nL 104.103737 149.599845 \nL 102.754766 149.798125 \nL 101.335166 149.888985 \nL 99.851152 149.86387 \nL 98.310592 149.713875 \nL 96.723274 149.429955 \nL 95.101142 149.003203 \nL 93.458514 148.425228 \nL 91.812248 147.688618 \nL 90.181806 146.787491 \nL 88.589243 145.718144 \nL 87.059015 144.47976 \nL 85.617624 143.075164 \nL 84.293085 141.511541 \nL 83.114131 139.801085 \nL 82.109259 137.961484 \nL 81.305555 136.01615 \nL 80.727433 133.994109 \nL 80.395299 131.929504 \nL 80.324305 129.860668 \nL 80.523285 127.828766 \nL 80.993964 125.876096 \nL 81.730599 124.044172 \nL 82.72004 122.371707 \nL 83.942259 120.892775 \nL 85.371308 119.635221 \nL 86.976586 118.619527 \nL 88.724323 117.858237 \nL 90.57913 117.35589 \nL 92.505488 117.109526 \nL 94.469075 117.109534 \nL 96.437848 117.340857 \nL 98.382845 117.784317 \nL 100.278701 118.417931 \nL 102.10389 119.2182 \nL 103.84076 120.161194 \nL 105.475383 121.223463 \nL 106.997263 122.382707 \nL 108.398975 123.618253 \nL 109.675762 124.911341 \nL 110.825107 126.245261 \nL 112.740163 128.978991 \nL 114.153905 131.725181 \nL 115.088931 134.416131 \nL 115.572741 137.004532 \nL 115.632259 139.457364 \nL 115.29047 141.750485 \nL 114.564747 143.864044 \nL 113.466527 145.778625 \nL 112.002142 147.471933 \nL 110.174719 148.915849 \nL 109.125689 149.533241 \nL 107.987214 150.073768 \nL 106.760349 150.531164 \nL 105.446766 150.898379 \nL 104.048976 151.167582 \nL 102.570583 151.330141 \nL 101.016553 151.376699 \nL 99.393515 151.297258 \nL 97.710078 151.081353 \nL 95.97714 150.7183 \nL 94.208191 150.197538 \nL 92.419578 149.509092 \nL 90.630698 148.644151 \nL 88.864098 147.595754 \nL 87.145415 146.359617 \nL 85.503146 144.93502 \nL 83.96817 143.325737 \nL 82.573028 141.540954 \nL 81.350916 139.596037 \nL 80.334422 137.51308 \nL 79.554054 135.321115 \nL 79.036616 133.055839 \nL 78.803594 130.758831 \nL 78.869668 128.476197 \nL 79.241523 126.256704 \nL 79.917085 124.149516 \nL 80.885315 122.201723 \nL 82.126593 120.455876 \nL 83.613657 118.94784 \nL 85.313039 117.705113 \nL 87.18682 116.745786 \nL 89.194521 116.078241 \nL 91.295023 115.70154 \nL 93.448248 115.606386 \nL 95.616593 115.776516 \nL 97.765993 116.190348 \nL 99.866611 116.822632 \nL 101.89321 117.646112 \nL 103.825193 118.632887 \nL 105.646434 119.755589 \nL 107.344933 120.988239 \nL 108.912368 122.306862 \nL 110.343595 123.689827 \nL 111.63612 125.118018 \nL 112.789606 126.574841 \nL 113.805396 128.046111 \nL 115.435188 130.986172 \nL 116.555105 133.865151 \nL 117.199955 136.634292 \nL 117.403325 139.26176 \nL 117.193613 141.726358 \nL 116.591985 144.012366 \nL 115.61174 146.105355 \nL 114.258841 147.988615 \nL 112.533419 149.640016 \nL 111.530064 150.369638 \nL 110.432328 151.029038 \nL 109.239922 151.612627 \nL 107.952905 152.113943 \nL 106.571893 152.525602 \nL 105.098297 152.83923 \nL 103.534604 153.045455 \nL 101.884682 153.133906 \nL 100.15413 153.093293 \nL 98.350647 152.911534 \nL 96.484428 152.575979 \nL 94.568553 152.073745 \nL 92.619362 151.392182 \nL 90.656762 150.519478 \nL 88.70445 149.445443 \nL 86.789979 148.162443 \nL 84.944625 146.666477 \nL 83.202971 144.958356 \nL 81.602196 143.04489 \nL 80.180993 140.940008 \nL 78.978136 138.665638 \nL 78.030734 136.252215 \nL 77.372235 133.738636 \nL 77.030368 131.171545 \nL 77.025161 128.603891 \nL 77.367287 126.092754 \nL 78.056936 123.696573 \nL 79.083354 121.472028 \nL 80.425172 119.470858 \nL 82.051484 117.736998 \nL 83.923593 116.30428 \nL 85.997208 115.195053 \nL 88.224854 114.419657 \nL 90.558288 113.976937 \nL 92.950642 113.855434 \nL 95.358206 114.03522 \nL 97.741729 114.489992 \nL 100.067239 115.189252 \nL 102.306413 116.100323 \nL 104.436586 117.190129 \nL 106.440449 118.42657 \nL 108.305579 119.779555 \nL 110.023843 121.221674 \nL 111.590743 122.72855 \nL 113.00478 124.278973 \nL 114.266824 125.854836 \nL 115.379565 127.440934 \nL 116.347011 129.024713 \nL 117.866135 132.146522 \nL 118.867966 135.161093 \nL 119.396493 138.03233 \nL 119.490383 140.73919 \nL 119.179898 143.269325 \nL 118.485541 145.614131 \nL 117.417935 147.764822 \nL 115.978651 149.709095 \nL 114.161856 151.42805 \nL 113.108657 152.194575 \nL 111.956896 152.893133 \nL 110.705105 153.518119 \nL 109.352074 154.062921 \nL 107.897062 154.519818 \nL 106.340061 154.879902 \nL 104.682089 155.133004 \nL 102.925537 155.267667 \nL 101.074571 155.271161 \nL 99.135562 155.129556 \nL 97.117579 154.827905 \nL 95.032886 154.350545 \nL 92.897447 153.68154 \nL 90.731411 152.805321 \nL 88.55948 151.707532 \nL 86.411176 150.37609 \nL 84.320852 148.802485 \nL 82.327416 146.983251 \nL 80.473656 144.921539 \nL 78.805133 142.628701 \nL 77.368562 140.125659 \nL 76.209723 137.443879 \nL 75.371 134.625719 \nL 74.888677 131.723922 \nL 74.790283 128.800094 \nL 75.092238 125.922191 \nL 75.798125 123.161067 \nL 76.897858 120.586436 \nL 78.367874 118.26263 \nL 80.17239 116.244646 \nL 82.2656 114.575013 \nL 84.594507 113.281755 \nL 87.102101 112.377649 \nL 89.730511 111.860842 \nL 92.423806 111.716498 \nL 95.130268 111.919246 \nL 97.804006 112.436002 \nL 100.405917 113.228838 \nL 102.904035 114.257656 \nL 105.273423 115.482374 \nL 107.495696 116.864675 \nL 109.558323 118.369191 \nL 111.453815 119.964233 \nL 113.178879 121.622127 \nL 114.733591 123.319253 \nL 116.120642 125.035855 \nL 117.344649 126.75573 \nL 118.411582 128.465845 \nL 119.328261 130.15591 \nL 120.740037 133.445997 \nL 121.63799 136.583573 \nL 122.074983 139.546978 \nL 122.094412 142.327126 \nL 121.728111 144.92148 \nL 120.995733 147.3296 \nL 119.905071 149.549723 \nL 118.453037 151.575815 \nL 116.62722 153.39477 \nL 114.408119 154.983379 \nL 113.143828 155.680456 \nL 111.772402 156.304893 \nL 110.291113 156.849333 \nL 108.697709 157.30505 \nL 106.990717 157.661835 \nL 105.169779 157.907875 \nL 103.236074 158.029662 \nL 101.192794 158.011968 \nL 99.045706 157.837891 \nL 96.803759 157.489002 \nL 94.47976 156.945654 \nL 92.091057 156.187486 \nL 89.660222 155.19417 \nL 87.215622 153.946449 \nL 84.791848 152.427503 \nL 82.429853 150.624653 \nL 80.176682 148.531344 \nL 78.084694 146.149326 \nL 76.210111 143.490889 \nL 74.610899 140.580832 \nL 73.343937 137.457908 \nL 72.461615 134.175346 \nL 72.008134 130.800135 \nL 72.015846 127.410828 \nL 72.502131 124.093846 \nL 73.467219 120.93851 \nL 74.893387 118.031252 \nL 76.745679 115.449755 \nL 78.974127 113.257701 \nL 81.5172 111.500922 \nL 84.305997 110.205321 \nL 87.268664 109.376764 \nL 90.334519 109.002742 \nL 93.437488 109.055414 \nL 96.518622 109.495426 \nL 99.527645 110.275973 \nL 102.423605 111.346628 \nL 105.174803 112.656572 \nL 107.758177 114.157164 \nL 110.158356 115.803635 \nL 112.366539 117.556173 \nL 114.379342 119.380375 \nL 116.197681 121.247267 \nL 117.825754 123.133011 \nL 119.270153 125.018439 \nL 120.539111 126.888491 \nL 121.641867 128.731615 \nL 123.387841 132.305037 \nL 124.585409 135.696051 \nL 125.305204 138.887189 \nL 125.606254 141.876035 \nL 125.533743 144.668215 \nL 125.118432 147.272645 \nL 124.377003 149.698249 \nL 123.312875 151.951478 \nL 121.917261 154.0342 \nL 120.170388 155.941516 \nL 118.043031 157.659167 \nL 115.498653 159.160239 \nL 114.057439 159.816654 \nL 112.496704 160.400875 \nL 110.811619 160.903887 \nL 108.997928 161.314899 \nL 107.052311 161.621125 \nL 104.972829 161.8076 \nL 102.759469 161.857011 \nL 100.414798 161.749602 \nL 97.94472 161.463167 \nL 95.359354 160.973212 \nL 92.673997 160.253314 \nL 89.910139 159.275808 \nL 87.096473 158.012807 \nL 84.269774 156.437743 \nL 81.47554 154.527382 \nL 78.768196 152.264404 \nL 76.210629 149.640451 \nL 73.872895 146.659503 \nL 71.829867 143.341209 \nL 70.15774 139.723799 \nL 68.929489 135.865914 \nL 68.209543 131.846749 \nL 68.048185 127.764019 \nL 68.476412 123.729459 \nL 69.50205 119.861987 \nL 71.107807 116.279233 \nL 73.251772 113.088489 \nL 75.870333 110.378397 \nL 78.883165 108.212616 \nL 82.199509 106.626392 \nL 85.7248 105.626262 \nL 89.366808 105.19272 \nL 93.040598 105.28498 \nL 96.671979 105.846984 \nL 100.199415 106.813568 \nL 103.574554 108.116138 \nL 106.761716 109.68724 \nL 109.736672 111.463911 \nL 112.485056 113.389823 \nL 115.000632 115.416303 \nL 117.28361 117.502615 \nL 119.33911 119.615601 \nL 121.175822 121.728996 \nL 122.804886 123.822566 \nL 124.238969 125.881177 \nL 125.491547 127.89392 \nL 127.506839 131.75447 \nL 128.956308 135.373086 \nL 129.934283 138.745082 \nL 130.519618 141.880443 \nL 130.774372 144.796388 \nL 130.744125 147.512854 \nL 130.459093 150.049832 \nL 129.935482 152.425766 \nL 129.176774 154.656577 \nL 128.174748 156.754899 \nL 126.910196 158.729292 \nL 125.353352 160.583173 \nL 123.464155 162.313192 \nL 121.192582 163.906764 \nL 118.479431 165.338374 \nL 115.258226 166.564223 \nL 113.435271 167.079518 \nL 111.459279 167.51479 \nL 109.32232 167.855716 \nL 107.017564 168.085036 \nL 104.539907 168.182139 \nL 101.886774 168.122717 \nL 99.059116 167.878452 \nL 96.062621 167.416865 \nL 92.909159 166.701401 \nL 89.618417 165.691865 \nL 86.219679 164.345392 \nL 82.753654 162.618131 \nL 79.274101 160.467815 \nL 75.849036 157.85738 \nL 72.561083 154.759706 \nL 69.506522 151.163319 \nL 66.792605 147.078683 \nL 64.532711 142.544317 \nL 62.839287 137.631633 \nL 61.81485 132.447108 \nL 61.541946 127.130495 \nL 62.07344 121.848104 \nL 63.424866 116.781224 \nL 65.570489 112.110727 \nL 68.444139 108.000292 \nL 71.944924 104.581012 \nL 75.946866 101.940272 \nL 80.310692 100.116692 \nL 84.895728 99.10146 \nL 89.570111 98.845185 \nL 94.218171 99.268207 \nL 98.744667 100.272214 \nL 103.07612 101.751163 \nL 107.159954 103.600282 \nL 110.962218 105.72251 \nL 114.464594 108.032427 \nL 117.661252 110.458012 \nL 120.555887 112.940815 \nL 123.15913 115.435003 \nL 125.486393 117.905888 \nL 127.556156 120.328152 \nL 129.388625 122.684117 \nL 132.425386 127.155228 \nL 134.760918 131.275155 \nL 136.545952 135.042384 \nL 137.911282 138.476659 \nL 139.40608 143.06698 \nL 140.789983 148.296208 \nL 142.444562 154.621959 \nL 143.354678 157.219065 \nL 144.060646 158.760181 \nL 144.880257 160.151164 \nL 145.845494 161.388893 \nL 146.992424 162.465233 \nL 148.362765 163.366075 \nL 150.005409 164.069879 \nL 151.977847 164.545629 \nL 154.347338 164.750022 \nL 157.191463 164.623815 \nL 160.597375 164.087281 \nL 164.658611 163.03508 \nL 166.964213 162.274471 \nL 169.467476 161.331501 \nL 172.177289 160.184104 \nL 175.099986 158.808411 \nL 178.238156 157.179193 \nL 181.589163 155.270647 \nL 185.143334 153.057606 \nL 188.881824 150.517333 \nL 192.774195 147.631984 \nL 196.775845 144.391845 \nL 200.825476 140.799386 \nL 204.842954 136.873966 \nL 208.728082 132.656888 \nL 212.360895 128.216149 \nL 215.604239 123.649914 \nL 218.309296 119.087414 \nL 220.324508 114.685818 \nL 221.507776 110.62191 \nL 221.741032 107.078104 \nL 220.945274 104.22371 \nL 219.093461 102.194055 \nL 216.21822 101.071424 \nL 212.41221 100.872412 \nL 207.820182 101.545108 \nL 202.624009 102.977355 \nL 197.023585 105.014184 \nL 191.217381 107.480145 \nL 185.386091 110.201513 \nL 174.221223 115.824077 \nL 159.984394 123.360655 \nL 149.341017 129.186265 \nL 144.043425 132.290645 \nL 139.905285 134.987836 \nL 136.675593 137.433271 \nL 134.125633 139.73392 \nL 132.058546 141.952872 \nL 129.511773 145.188581 \nL 124.943314 151.329742 \nL 123.248366 153.232653 \nL 121.347996 155.030674 \nL 119.178902 156.696956 \nL 116.680517 158.196671 \nL 113.795046 159.483021 \nL 112.190344 160.027053 \nL 110.469713 160.492139 \nL 108.628217 160.866621 \nL 106.662123 161.136994 \nL 104.569331 161.28771 \nL 102.349889 161.301035 \nL 100.006623 161.156968 \nL 97.545874 160.833276 \nL 94.978335 160.305684 \nL 92.319968 159.548288 \nL 89.592955 158.534286 \nL 86.826613 157.237056 \nL 84.058193 155.631711 \nL 81.333359 153.697135 \nL 78.706256 151.418519 \nL 76.238907 148.79032 \nL 73.999768 145.819454 \nL 72.061253 142.52838 \nL 70.496259 138.957656 \nL 69.373676 135.167374 \nL 68.75328 131.236949 \nL 68.680487 127.262759 \nL 69.18165 123.353502 \nL 70.260656 119.623485 \nL 71.897417 116.184466 \nL 74.04868 113.137194 \nL 76.651066 110.563792 \nL 79.625963 108.522098 \nL 82.885517 107.042825 \nL 86.338863 106.129598 \nL 89.897827 105.761696 \nL 93.481487 105.89869 \nL 97.019306 106.486118 \nL 100.452849 107.461265 \nL 103.736212 108.758429 \nL 106.835511 110.313179 \nL 109.72772 112.065424 \nL 112.399162 113.961393 \nL 114.843877 115.954593 \nL 117.062038 118.006026 \nL 119.058496 120.083879 \nL 120.841515 122.162871 \nL 122.421705 124.223455 \nL 123.811149 126.250943 \nL 125.022701 128.234679 \nL 126.964309 132.043918 \nL 128.347273 135.619902 \nL 129.261493 138.956987 \nL 129.78183 142.063876 \nL 129.966725 144.956411 \nL 129.858419 147.65314 \nL 129.483941 150.172605 \nL 128.856339 152.531702 \nL 127.975865 154.74452 \nL 126.83093 156.821412 \nL 125.398816 158.767903 \nL 123.646186 160.58325 \nL 121.529603 162.25828 \nL 118.996341 163.772237 \nL 115.986081 165.088195 \nL 114.281935 165.654435 \nL 112.434326 166.146673 \nL 110.435603 166.552557 \nL 108.27893 166.857163 \nL 105.958801 167.042633 \nL 103.471712 167.087835 \nL 100.816985 166.968069 \nL 97.997793 166.654849 \nL 95.022373 166.115887 \nL 91.905443 165.315316 \nL 88.669768 164.214332 \nL 85.347814 162.772387 \nL 81.983355 160.949068 \nL 78.632804 158.706899 \nL 75.365998 156.015066 \nL 72.266042 152.854139 \nL 69.427807 149.221524 \nL 66.954713 145.137175 \nL 64.953507 140.6488 \nL 63.527109 135.835431 \nL 62.765979 130.80816 \nL 62.738922 125.706964 \nL 63.484744 120.69304 \nL 65.006256 115.93702 \nL 67.267964 111.604391 \nL 70.198173 107.840432 \nL 73.695278 104.757162 \nL 77.637205 102.424673 \nL 81.892285 100.868048 \nL 86.329826 100.069948 \nL 90.82888 99.977649 \nL 95.284371 100.512792 \nL 99.61043 101.581856 \nL 103.741235 103.085816 \nL 107.629997 104.927855 \nL 111.246776 107.018869 \nL 114.575749 109.280709 \nL 117.612354 111.647576 \nL 120.360624 114.066021 \nL 122.830869 116.494073 \nL 125.037722 118.899852 \nL 126.998598 121.259993 \nL 128.732474 123.55808 \nL 131.597657 127.928769 \nL 133.786962 131.969943 \nL 135.441128 135.679224 \nL 136.681887 139.074493 \nL 137.6105 142.182415 \nL 138.592523 146.368932 \nL 139.438705 151.204349 \nL 140.905774 160.524983 \nL 141.445015 162.715802 \nL 142.126417 164.661813 \nL 143.012267 166.364486 \nL 143.754307 167.359362 \nL 144.650616 168.233956 \nL 145.736272 168.976744 \nL 147.053857 169.570805 \nL 148.65503 169.992046 \nL 150.602187 170.206776 \nL 152.970055 170.168349 \nL 155.846859 169.812696 \nL 159.334359 169.052568 \nL 163.54546 167.770586 \nL 168.597124 165.811902 \nL 171.472267 164.518732 \nL 174.594857 162.978858 \nL 177.971459 161.161181 \nL 181.60312 159.033051 \nL 185.483149 156.561543 \nL 189.594432 153.715485 \nL 193.906274 150.46838 \nL 198.370893 146.802443 \nL 202.919822 142.713843 \nL 207.460623 138.219069 \nL 211.874617 133.362045 \nL 216.016523 128.22121 \nL 219.717141 122.915125 \nL 222.790153 117.604703 \nL 225.043884 112.48978 \nL 226.298008 107.797958 \nL 226.403894 103.764844 \nL 225.265868 100.606983 \nL 222.859018 98.491564 \nL 219.23915 97.509465 \nL 214.541244 97.658832 \nL 208.965723 98.844513 \nL 202.754969 100.894235 \nL 196.165345 103.587248 \nL 189.440725 106.687931 \nL 182.792384 109.976189 \nL 164.744118 119.37403 \nL 136.096137 134.40018 \nL 132.321122 136.728744 \nL 129.323831 138.865608 \nL 126.868679 140.897016 \nL 123.787245 143.826003 \nL 120.047958 147.513197 \nL 118.093472 149.219677 \nL 115.972925 150.792892 \nL 113.621776 152.192122 \nL 110.987701 153.367582 \nL 108.031535 154.257853 \nL 106.424844 154.572952 \nL 104.730837 154.787006 \nL 102.950401 154.887885 \nL 101.08647 154.862375 \nL 99.144414 154.696275 \nL 97.132458 154.374549 \nL 95.06213 153.881644 \nL 92.948716 153.201926 \nL 90.811667 152.320297 \nL 88.674934 151.223023 \nL 86.567149 149.89876 \nL 84.521601 148.339801 \nL 82.575916 146.543468 \nL 80.771355 144.513599 \nL 79.151706 142.262011 \nL 77.761699 139.809747 \nL 76.644995 137.187959 \nL 75.841812 134.43813 \nL 75.386387 131.611533 \nL 75.304468 128.76772 \nL 75.611119 125.972084 \nL 76.309138 123.292561 \nL 77.388304 120.795836 \nL 78.825601 118.543318 \nL 80.586421 116.587479 \nL 82.626647 114.968899 \nL 84.895333 113.71437 \nL 87.337697 112.836232 \nL 89.898086 112.332924 \nL 92.522632 112.19051 \nL 95.161411 112.384994 \nL 97.769991 112.884948 \nL 100.310363 113.654226 \nL 102.751306 114.654466 \nL 105.068306 115.847212 \nL 107.243137 117.195555 \nL 109.26321 118.665301 \nL 111.12082 120.225699 \nL 112.812335 121.849772 \nL 114.337423 123.514392 \nL 115.69832 125.200128 \nL 116.899177 126.890953 \nL 117.945495 128.573894 \nL 118.843642 130.238642 \nL 120.222921 133.483287 \nL 121.091977 136.581356 \nL 121.501159 139.509715 \nL 121.491883 142.257674 \nL 121.094499 144.821028 \nL 120.327641 147.197611 \nL 119.198539 149.383797 \nL 117.704047 151.371512 \nL 115.832299 153.145335 \nL 114.749443 153.944454 \nL 113.565153 154.679404 \nL 112.276759 155.344751 \nL 110.881725 155.933957 \nL 109.377866 156.439242 \nL 107.7636 156.851472 \nL 106.038261 157.160041 \nL 104.202455 157.352774 \nL 102.258499 157.415892 \nL 100.210906 157.334007 \nL 98.066942 157.090232 \nL 95.837233 156.666398 \nL 93.536405 156.04344 \nL 91.183729 155.201992 \nL 88.803709 154.123232 \nL 86.426558 152.79001 \nL 84.088463 151.188289 \nL 81.83153 149.308875 \nL 79.703301 147.149362 \nL 77.755732 144.716224 \nL 76.04354 142.026788 \nL 74.621883 139.110867 \nL 73.543466 136.011755 \nL 72.8552 132.786189 \nL 72.594719 129.503084 \nL 72.787134 126.24087 \nL 73.442447 123.083504 \nL 74.554017 120.115477 \nL 76.098364 117.416299 \nL 78.036416 115.055219 \nL 80.316048 113.086776 \nL 82.875606 111.547797 \nL 85.647947 110.456141 \nL 88.564514 109.811206 \nL 91.558991 109.595981 \nL 94.570249 109.780154 \nL 97.54441 110.323781 \nL 100.436035 111.181039 \nL 103.208512 112.303651 \nL 105.833835 113.643713 \nL 108.291929 115.155826 \nL 110.569724 116.798575 \nL 112.660084 118.535317 \nL 114.560733 120.334515 \nL 116.273229 122.169689 \nL 117.802039 124.019088 \nL 119.15373 125.865237 \nL 120.336283 127.694413 \nL 121.358523 129.496085 \nL 122.95894 132.987685 \nL 124.027338 136.300988 \nL 124.628972 139.419787 \nL 124.817577 142.341429 \nL 124.633394 145.070346 \nL 124.10269 147.613573 \nL 123.238147 149.977547 \nL 122.039721 152.165579 \nL 120.495783 154.175568 \nL 118.584559 155.997555 \nL 116.276048 157.610776 \nL 114.961849 158.328773 \nL 113.534838 158.979986 \nL 111.990452 159.55698 \nL 110.324467 160.050795 \nL 108.533281 160.450737 \nL 106.614281 160.744214 \nL 104.566278 160.916567 \nL 102.390042 160.950919 \nL 100.088931 160.82814 \nL 97.669629 160.52686 \nL 95.142965 160.023684 \nL 92.524817 159.293589 \nL 89.837048 158.310627 \nL 87.108402 157.048976 \nL 84.375273 155.484443 \nL 81.682222 153.596404 \nL 79.082034 151.370272 \nL 76.635178 148.800322 \nL 74.408441 145.892795 \nL 72.47261 142.668878 \nL 70.899124 139.167231 \nL 69.755817 135.445438 \nL 69.101985 131.579923 \nL 68.98329 127.663804 \nL 69.427165 123.80258 \nL 70.439369 120.107759 \nL 72.00239 116.689073 \nL 74.075993 113.64627 \nL 76.59999 111.061612 \nL 79.498806 108.99423 \nL 82.687217 107.477035 \nL 86.076384 106.516498 \nL 89.579476 106.094995 \nL 93.116226 106.175171 \nL 96.61616 106.705294 \nL 100.020421 107.624909 \nL 103.28235 108.870009 \nL 106.367106 110.3773 \nL 109.250608 112.087324 \nL 111.918115 113.946532 \nL 114.362655 115.908352 \nL 116.583476 117.933484 \nL 118.584607 119.989683 \nL 120.373601 122.051172 \nL 121.960463 124.097882 \nL 123.35677 126.114619 \nL 124.574962 128.090253 \nL 126.527885 131.88957 \nL 127.917985 135.461696 \nL 128.833898 138.798833 \nL 129.349676 141.908107 \nL 129.523204 144.804197 \nL 129.396266 147.504738 \nL 128.995428 150.027527 \nL 128.333214 152.38873 \nL 127.409241 154.601625 \nL 126.211187 156.675555 \nL 124.715529 158.614705 \nL 122.888144 160.416468 \nL 120.684983 162.06909 \nL 118.053181 163.54823 \nL 114.933196 164.812066 \nL 113.170667 165.343783 \nL 111.262983 165.79458 \nL 109.20324 166.151002 \nL 106.985624 166.396908 \nL 104.605975 166.51314 \nL 102.062538 166.477223 \nL 99.356851 166.263126 \nL 96.49484 165.841166 \nL 93.488093 165.178127 \nL 90.355298 164.237694 \nL 87.123797 162.981352 \nL 83.831157 161.369915 \nL 80.526554 159.365771 \nL 77.271805 156.936066 \nL 74.14163 154.056777 \nL 71.22285 150.717618 \nL 68.612091 146.927429 \nL 66.411701 142.719419 \nL 64.723788 138.155417 \nL 63.642578 133.327964 \nL 63.24581 128.359161 \nL 63.58623 123.395492 \nL 64.684614 118.598475 \nL 66.525681 114.131936 \nL 69.0579 110.147662 \nL 72.197487 106.771745 \nL 75.835943 104.093988 \nL 79.849867 102.162067 \nL 84.111354 100.981164 \nL 88.497399 100.518506 \nL 92.89719 100.711411 \nL 97.216775 101.477017 \nL 101.381183 102.722051 \nL 105.33442 104.351268 \nL 109.037982 106.273934 \nL 112.468533 108.408147 \nL 115.615207 110.683145 \nL 118.47695 113.040075 \nL 121.060102 115.43165 \nL 123.376307 117.821075 \nL 125.440794 120.180665 \nL 127.271019 122.490328 \nL 128.885602 124.736132 \nL 131.543574 129.003599 \nL 133.561556 132.950009 \nL 135.07235 136.576794 \nL 136.189734 139.902897 \nL 137.007507 142.954736 \nL 137.832068 147.079952 \nL 138.334629 150.741256 \nL 138.711926 155.0312 \nL 139.004156 161.276267 \nL 139.419484 171.417735 \nL 139.748024 174.129972 \nL 140.104309 175.660013 \nL 140.64074 176.970516 \nL 141.218043 177.80215 \nL 142.009918 178.489925 \nL 143.099168 179.009869 \nL 144.045662 179.244314 \nL 145.218915 179.36908 \nL 146.673945 179.359605 \nL 148.478666 179.181841 \nL 150.716358 178.788524 \nL 153.488084 178.113964 \nL 156.91444 177.066918 \nL 161.1354 175.521235 \nL 166.305872 173.304476 \nL 172.582646 170.186217 \nL 176.178776 168.199216 \nL 180.09544 165.871215 \nL 184.335504 163.156764 \nL 188.89106 160.009585 \nL 193.739277 156.385642 \nL 198.837476 152.247786 \nL 204.117602 147.572337 \nL 209.480508 142.35774 \nL 214.790922 136.635229 \nL 219.874327 130.480617 \nL 224.517564 124.025525 \nL 228.475198 117.465094 \nL 231.483644 111.058192 \nL 233.283979 105.115764 \nL 233.652513 99.974212 \nL 232.435084 95.954175 \nL 229.578128 93.310481 \nL 225.147861 92.184787 \nL 219.33032 92.574977 \nL 212.409818 94.33252 \nL 204.730211 97.1903 \nL 196.648912 100.812729 \nL 188.495107 104.852863 \nL 172.986947 113.015461 \nL 159.54481 120.063136 \nL 148.568376 125.481509 \nL 139.905503 129.433855 \nL 122.225179 137.140625 \nL 118.03261 139.377467 \nL 109.570638 144.304372 \nL 107.45752 145.186137 \nL 105.225655 145.84429 \nL 102.85626 146.227861 \nL 100.353368 146.283403 \nL 97.745444 145.957446 \nL 95.087495 145.20081 \nL 93.764623 144.648403 \nL 92.462617 143.975389 \nL 91.196163 143.180294 \nL 89.981437 142.26365 \nL 88.835825 141.228369 \nL 87.777578 140.080111 \nL 86.825339 138.827588 \nL 85.997575 137.482789 \nL 85.311934 136.061052 \nL 84.784527 134.581009 \nL 84.429224 133.064312 \nL 84.256932 131.535172 \nL 84.274985 130.019677 \nL 84.486646 128.544952 \nL 84.8908 127.138175 \nL 85.481844 125.825533 \nL 86.249805 124.631174 \nL 87.180694 123.576262 \nL 88.257049 122.678202 \nL 89.458632 121.950063 \nL 90.763221 121.400281 \nL 92.147459 121.032612 \nL 93.587674 120.846349 \nL 95.060624 120.836735 \nL 96.54414 120.995531 \nL 98.017647 121.311686 \nL 99.462529 121.772049 \nL 100.862363 122.362058 \nL 102.20303 123.066378 \nL 103.472715 123.869461 \nL 105.762797 125.711298 \nL 107.679377 127.773793 \nL 109.19552 129.958948 \nL 110.303372 132.186607 \nL 111.007485 134.393325 \nL 111.319336 136.529525 \nL 111.253313 138.55596 \nL 110.824126 140.440173 \nL 110.045542 142.153192 \nL 108.930297 143.666627 \nL 107.491092 144.950195 \nL 105.742618 145.969765 \nL 103.704601 146.686024 \nL 101.405805 147.054086 \nL 98.88886 147.024475 \nL 97.567001 146.844518 \nL 96.215557 146.546156 \nL 94.846059 146.123703 \nL 93.471778 145.572286 \nL 92.107762 144.888199 \nL 90.770798 144.069316 \nL 89.479285 143.115549 \nL 88.253013 142.029304 \nL 87.11279 140.815954 \nL 86.079975 139.484222 \nL 85.175856 138.046506 \nL 84.420939 136.519045 \nL 83.834142 134.921902 \nL 83.431947 133.278728 \nL 83.227571 131.616271 \nL 83.230214 129.963632 \nL 83.444456 128.351303 \nL 83.869846 126.810024 \nL 84.50076 125.369543 \nL 85.326509 124.057375 \nL 86.331743 122.89766 \nL 87.497076 121.91022 \nL 88.799915 121.109871 \nL 90.215405 120.506062 \nL 91.717418 120.102823 \nL 93.27953 119.899032 \nL 94.875889 119.888927 \nL 96.481967 120.0628 \nL 98.075143 120.40781 \nL 99.63511 120.90882 \nL 101.144124 121.549214 \nL 102.587103 122.311651 \nL 103.9516 123.178702 \nL 105.227675 124.133357 \nL 107.486108 126.241821 \nL 109.324607 128.521512 \nL 110.729912 130.877663 \nL 111.705104 133.235911 \nL 112.262685 135.539392 \nL 112.419278 137.744739 \nL 112.192035 139.817929 \nL 111.59654 141.730407 \nL 110.646063 143.455649 \nL 109.351985 144.966194 \nL 107.72532 146.231114 \nL 105.779302 147.214006 \nL 103.53309 147.871652 \nL 101.016553 148.153703 \nL 99.670579 148.136479 \nL 98.276026 148.004008 \nL 96.842287 147.748978 \nL 95.380554 147.364359 \nL 93.903959 146.843726 \nL 92.427685 146.181637 \nL 90.968982 145.374093 \nL 89.547111 144.41904 \nL 88.183159 143.316925 \nL 86.899727 142.071249 \nL 85.720465 140.689115 \nL 84.669443 139.18168 \nL 83.770371 137.564482 \nL 83.045704 135.857577 \nL 82.51565 134.085419 \nL 82.197172 132.276448 \nL 82.103015 130.462366 \nL 82.240896 128.677125 \nL 82.612895 126.955626 \nL 83.215129 125.332295 \nL 84.037766 123.839569 \nL 85.065354 122.506448 \nL 86.277485 121.357268 \nL 87.649709 120.410754 \nL 89.154628 119.679452 \nL 90.763081 119.16956 \nL 92.4453 118.881141 \nL 94.171999 118.808695 \nL 95.915292 118.941942 \nL 97.649417 119.266783 \nL 99.351263 119.766311 \nL 101.00068 120.421805 \nL 102.580599 121.213655 \nL 104.077022 122.12212 \nL 105.478863 123.127969 \nL 106.777715 124.21295 \nL 107.967564 125.360116 \nL 110.006258 127.780812 \nL 111.582559 130.285505 \nL 112.702478 132.793739 \nL 113.382287 135.245558 \nL 113.642377 137.596757 \nL 113.503047 139.814044 \nL 112.982009 141.870621 \nL 112.093338 143.742351 \nL 110.847669 145.40442 \nL 109.253509 146.828495 \nL 107.319666 147.980289 \nL 105.058827 148.81763 \nL 103.811977 149.102759 \nL 102.492408 149.289388 \nL 101.105164 149.36976 \nL 99.656656 149.335703 \nL 98.154904 149.178776 \nL 96.609777 148.890471 \nL 95.033213 148.462508 \nL 93.439405 147.887181 \nL 91.844941 147.157819 \nL 90.268849 146.269312 \nL 88.732555 145.218724 \nL 87.259681 144.005954 \nL 85.875688 142.634424 \nL 84.607324 141.111747 \nL 83.48189 139.450288 \nL 82.526311 137.667594 \nL 81.766039 135.786543 \nL 81.223865 133.835225 \nL 80.918704 131.84642 \nL 80.86444 129.856699 \nL 81.068958 127.90514 \nL 81.533463 126.031741 \nL 82.252147 124.275644 \nL 83.212279 122.673288 \nL 84.394714 121.256705 \nL 85.774774 120.052081 \nL 87.323434 119.078727 \nL 89.008692 118.348537 \nL 90.796994 117.865945 \nL 92.654626 117.628355 \nL 94.548941 117.626938 \nL 96.449366 117.847727 \nL 98.328174 118.272815 \nL 100.160964 118.881606 \nL 101.926922 119.651967 \nL 103.608867 120.561281 \nL 105.19312 121.58727 \nL 106.669255 122.708657 \nL 108.029773 123.905626 \nL 109.269727 125.160104 \nL 110.386331 126.455915 \nL 112.246857 129.116328 \nL 113.61826 131.794296 \nL 114.520313 134.422396 \nL 114.97803 136.952715 \nL 115.016379 139.351112 \nL 114.657001 141.592032 \nL 113.916578 143.654103 \nL 112.806548 145.516349 \nL 111.333972 147.154972 \nL 109.503488 148.54048 \nL 107.320418 149.635193 \nL 106.099567 150.058976 \nL 104.795172 150.391225 \nL 103.410297 150.624175 \nL 101.949139 150.749354 \nL 100.417308 150.757657 \nL 98.822098 150.639477 \nL 97.172781 150.384889 \nL 95.480903 149.983919 \nL 93.760535 149.426915 \nL 92.028492 148.705013 \nL 90.304481 147.810716 \nL 88.611125 146.738592 \nL 86.973855 145.486044 \nL 85.420591 144.054157 \nL 83.981221 142.448542 \nL 82.686833 140.680134 \nL 81.568701 138.765824 \nL 80.65704 136.728849 \nL 79.979595 134.59884 \nL 79.560143 132.411403 \nL 79.417034 130.207222 \nL 79.561895 128.030665 \nL 79.998649 125.927938 \nL 80.722959 123.944939 \nL 81.72219 122.124983 \nL 82.975895 120.506616 \nL 84.456813 119.121723 \nL 86.132265 117.994147 \nL 87.9658 117.138895 \nL 89.918968 116.561995 \nL 91.953022 116.260975 \nL 94.030445 116.225832 \nL 96.116201 116.440363 \nL 98.178661 116.883669 \nL 100.190197 117.5317 \nL 102.127464 118.358683 \nL 103.971429 119.338406 \nL 105.707192 120.445226 \nL 107.323658 121.654841 \nL 108.813121 122.94482 \nL 110.170796 124.29492 \nL 111.394342 125.687214 \nL 112.483402 127.106091 \nL 114.264007 129.9721 \nL 115.534091 132.809225 \nL 116.323916 135.559701 \nL 116.66525 138.184663 \nL 116.586651 140.657764 \nL 116.110773 142.959809 \nL 115.253264 145.074309 \nL 114.022893 146.983781 \nL 112.42275 148.666512 \nL 111.483955 149.414167 \nL 110.452485 150.093576 \nL 109.328316 150.699547 \nL 108.111713 151.22611 \nL 106.803412 151.666448 \nL 105.404849 152.012863 \nL 103.918402 152.256737 \nL 102.347672 152.388545 \nL 100.697802 152.397905 \nL 98.975812 152.2737 \nL 97.190956 152.004261 \nL 95.355074 151.577652 \nL 93.482948 150.982071 \nL 91.592599 150.206379 \nL 89.705497 149.240769 \nL 87.846667 148.077593 \nL 86.044616 146.712305 \nL 84.331014 145.1445 \nL 82.740137 143.379015 \nL 81.307969 141.426944 \nL 80.07099 139.306527 \nL 79.064682 137.043716 \nL 78.321767 134.672303 \nL 77.870343 132.233493 \nL 77.732036 129.774811 \nL 77.920366 127.348377 \nL 78.439521 125.008576 \nL 79.283681 122.809339 \nL 80.437011 120.80123 \nL 81.874368 119.028727 \nL 83.562621 117.527875 \nL 85.46249 116.324649 \nL 87.530663 115.434113 \nL 89.722025 114.860446 \nL 91.991735 114.597727 \nL 94.297042 114.631334 \nL 96.598705 114.939739 \nL 98.861973 115.496455 \nL 101.05716 116.271968 \nL 103.159817 117.235477 \nL 105.150631 118.356348 \nL 107.015088 119.605246 \nL 108.742982 120.954926 \nL 110.32785 122.380736 \nL 111.766387 123.860865 \nL 113.057852 125.376391 \nL 114.203527 126.911176 \nL 115.206217 128.451686 \nL 116.798933 131.507153 \nL 117.873881 134.476275 \nL 118.471567 137.316691 \nL 118.629058 140.002296 \nL 118.376416 142.516794 \nL 117.734974 144.848567 \nL 116.716969 146.98656 \nL 115.326206 148.916837 \nL 113.559628 150.619441 \nL 112.533183 151.376738 \nL 111.409867 152.065364 \nL 110.188699 152.679772 \nL 108.868976 153.213478 \nL 107.450488 153.658956 \nL 105.93377 154.007589 \nL 104.32038 154.249607 \nL 102.613238 154.374063 \nL 100.816995 154.368888 \nL 98.938443 154.22097 \nL 96.986961 153.916351 \nL 94.974969 153.440545 \nL 92.918381 152.778967 \nL 90.837013 151.917573 \nL 88.754906 150.843637 \nL 86.700511 149.546787 \nL 84.706644 148.020168 \nL 82.810183 146.261797 \nL 81.051387 144.275981 \nL 79.472826 142.074685 \nL 78.117858 139.678721 \nL 77.028722 137.118553 \nL 76.244275 134.434492 \nL 75.797586 131.676164 \nL 75.713554 128.901059 \nL 76.006842 126.172217 \nL 76.680367 123.555126 \nL 77.724569 121.114091 \nL 79.117618 118.908472 \nL 80.826526 116.989159 \nL 82.809092 115.395776 \nL 85.016444 114.15483 \nL 87.395847 113.279037 \nL 89.893545 112.767754 \nL 92.45731 112.608404 \nL 95.038534 112.778607 \nL 97.593745 113.248655 \nL 100.085553 113.984095 \nL 102.483051 114.948117 \nL 104.761777 116.103611 \nL 106.903352 117.414776 \nL 108.894883 118.848274 \nL 110.728257 120.373975 \nL 112.399381 121.965322 \nL 113.907424 123.599429 \nL 115.254123 125.256959 \nL 116.443146 126.921885 \nL 117.479535 128.581148 \nL 118.369238 130.224299 \nL 119.734586 133.431265 \nL 120.591567 136.497636 \nL 120.988561 139.398588 \nL 120.965563 142.121776 \nL 120.551985 144.661428 \nL 119.765943 147.013829 \nL 118.614557 149.173806 \nL 117.095001 151.131653 \nL 115.19625 152.870171 \nL 114.099599 153.649002 \nL 112.901652 154.361562 \nL 111.600063 155.002154 \nL 110.192695 155.56397 \nL 108.677842 156.038973 \nL 107.054498 156.417782 \nL 105.322667 156.689578 \nL 103.483746 156.842035 \nL 101.540951 156.861299 \nL 99.499816 156.732028 \nL 97.368733 156.437543 \nL 95.15955 155.960104 \nL 92.888175 155.281335 \nL 90.575169 154.382904 \nL 88.246262 153.24741 \nL 85.932731 151.859565 \nL 83.671546 150.207662 \nL 81.505164 148.285283 \nL 79.480903 146.093195 \nL 77.649758 143.641283 \nL 76.064618 140.950327 \nL 74.777893 138.053336 \nL 73.838613 134.996182 \nL 73.289219 131.837192 \nL 73.162315 128.645539 \nL 73.477772 125.498328 \nL 74.240567 122.476521 \nL 75.439689 119.660056 \nL 77.048351 117.122679 \nL 79.025502 114.927157 \nL 81.318498 113.121426 \nL 83.866588 111.736203 \nL 86.604747 110.784213 \nL 89.467442 110.261079 \nL 92.391949 110.147476 \nL 95.320939 110.412224 \nL 98.204245 111.01577 \nL 100.999828 111.913671 \nL 103.674022 113.059685 \nL 106.201248 114.408333 \nL 108.563328 115.916779 \nL 110.748577 117.546076 \nL 112.750803 119.261869 \nL 114.568293 121.034633 \nL 116.202859 122.839584 \nL 117.658976 124.656369 \nL 118.943033 126.468619 \nL 120.062691 128.263449 \nL 121.026366 130.030964 \nL 122.52069 133.456403 \nL 123.494203 136.707783 \nL 124.007904 139.769212 \nL 124.11149 142.637367 \nL 123.841521 145.315372 \nL 123.221008 147.808457 \nL 122.259828 150.120784 \nL 120.955638 152.252852 \nL 119.295129 154.199049 \nL 117.255697 155.944984 \nL 114.80776 157.464302 \nL 113.420266 158.126514 \nL 111.918212 158.714719 \nL 110.297783 159.220368 \nL 108.555752 159.633279 \nL 106.689831 159.941481 \nL 104.69908 160.131057 \nL 102.584416 160.186029 \nL 100.349193 160.088309 \nL 97.999895 159.81773 \nL 95.546899 159.352251 \nL 93.005309 158.668327 \nL 90.395817 157.741558 \nL 87.745551 156.547666 \nL 85.088773 155.063856 \nL 82.467368 153.270615 \nL 79.930927 151.153938 \nL 77.536274 148.707949 \nL 75.346262 145.937706 \nL 73.427715 142.861996 \nL 71.848417 139.51569 \nL 70.673254 135.951202 \nL 69.959715 132.238594 \nL 69.753191 128.463851 \nL 70.082605 124.725181 \nL 70.957048 121.127402 \nL 72.363968 117.774953 \nL 74.269311 114.764327 \nL 76.6197 112.176981 \nL 79.346336 110.073724 \nL 82.370123 108.49134 \nL 85.607239 107.441796 \nL 88.974474 106.913918 \nL 92.393722 106.876958 \nL 95.795322 107.285388 \nL 99.12009 108.08409 \nL 102.320186 109.213276 \nL 105.359013 110.612683 \nL 108.210411 112.224805 \nL 110.857444 113.997072 \nL 113.290974 115.883149 \nL 115.508205 117.843425 \nL 117.511312 119.844969 \nL 119.306203 121.861095 \nL 120.901455 123.870717 \nL 122.30743 125.857612 \nL 123.535543 127.809642 \nL 125.505805 131.576822 \nL 126.905842 135.131716 \nL 127.820849 138.461522 \nL 128.322575 141.569564 \nL 128.467271 144.467619 \nL 128.29542 147.171034 \nL 127.83238 149.695597 \nL 127.089403 152.055512 \nL 126.06471 154.261892 \nL 124.744463 156.321397 \nL 123.103624 158.234693 \nL 121.106808 159.994404 \nL 118.709422 161.582258 \nL 115.859539 162.965054 \nL 114.247462 163.563771 \nL 112.501276 164.089132 \nL 110.614365 164.530051 \nL 108.580843 164.873172 \nL 106.396003 165.102584 \nL 104.056907 165.199533 \nL 101.563093 165.142181 \nL 98.917447 164.905444 \nL 96.127238 164.460969 \nL 93.20531 163.777344 \nL 90.171401 162.82061 \nL 87.053552 161.55524 \nL 83.889457 159.945672 \nL 80.72763 157.95855 \nL 77.628155 155.565745 \nL 74.662713 152.748179 \nL 71.913563 149.500274 \nL 69.471179 145.834743 \nL 67.430275 141.787089 \nL 65.884215 137.419057 \nL 64.918046 132.820027 \nL 64.600808 128.105485 \nL 64.978103 123.411905 \nL 66.066147 118.888106 \nL 67.848435 114.683822 \nL 70.275845 110.937004 \nL 73.270355 107.761905 \nL 76.731813 105.239922 \nL 80.546637 103.414559 \nL 84.597009 102.291177 \nL 88.769242 101.840901 \nL 92.960323 102.007665 \nL 97.082214 102.716743 \nL 101.063911 103.883382 \nL 104.85162 105.420374 \nL 108.407596 107.243955 \nL 111.708154 109.277807 \nL 114.741329 111.455394 \nL 117.504499 113.720781 \nL 120.002177 116.02851 \nL 122.244086 118.342754 \nL 124.243556 120.636159 \nL 126.016214 122.888518 \nL 127.578976 125.085496 \nL 130.144371 129.278372 \nL 132.075582 133.176551 \nL 133.496298 136.776513 \nL 134.512639 140.093126 \nL 135.211705 143.149766 \nL 135.662348 145.972686 \nL 135.983398 149.825379 \nL 135.980197 153.290397 \nL 135.717348 156.435639 \nL 135.216827 159.317209 \nL 134.4661 161.981303 \nL 133.806403 163.655695 \nL 132.996276 165.2601 \nL 132.008508 166.802601 \nL 130.808399 168.289443 \nL 129.352668 169.724287 \nL 127.588128 171.106848 \nL 125.450263 172.430654 \nL 122.861934 173.679445 \nL 119.732712 174.82157 \nL 115.959743 175.801483 \nL 113.797207 176.203742 \nL 111.431811 176.527241 \nL 108.849989 176.751921 \nL 106.039453 176.852956 \nL 102.990186 176.799944 \nL 99.695763 176.556082 \nL 96.155083 176.077432 \nL 92.374548 175.312388 \nL 88.370734 174.20159 \nL 84.173547 172.678549 \nL 79.829729 170.671378 \nL 75.40646 168.10611 \nL 70.994583 164.912065 \nL 66.710731 161.029673 \nL 62.697337 156.42084 \nL 59.119361 151.081375 \nL 56.156669 145.054112 \nL 53.991375 138.440296 \nL 52.790549 131.405956 \nL 52.686151 124.179654 \nL 53.755529 117.039089 \nL 56.006802 110.286368 \nL 59.373179 104.215223 \nL 63.718395 99.076396 \nL 68.852535 95.048908 \nL 74.55475 92.223434 \nL 80.597756 90.600617 \nL 86.769241 90.102947 \nL 92.88697 90.595596 \nL 98.806619 91.910573 \nL 104.423187 93.869126 \nL 109.667835 96.299324 \nL 114.502233 99.047616 \nL 118.912063 101.984799 \nL 122.900802 105.007555 \nL 126.484373 108.037047 \nL 129.686874 111.015832 \nL 132.537307 113.904135 \nL 135.067206 116.676114 \nL 139.294596 121.81763 \nL 142.620004 126.3974 \nL 145.271057 130.434611 \nL 151.806796 140.936089 \nL 153.438471 143.06317 \nL 155.145883 144.846375 \nL 157.004207 146.291195 \nL 159.079828 147.390926 \nL 160.218019 147.80586 \nL 161.432465 148.126289 \nL 162.729685 148.347789 \nL 164.115752 148.465118 \nL 165.596192 148.472246 \nL 167.17584 148.362376 \nL 168.858653 148.128026 \nL 170.647447 147.76112 \nL 172.543588 147.253154 \nL 174.546608 146.595423 \nL 176.65374 145.779337 \nL 178.859398 144.796837 \nL 181.15459 143.640949 \nL 183.526271 142.306463 \nL 185.956694 140.790772 \nL 188.42279 139.094839 \nL 190.895614 137.224314 \nL 193.339979 135.190683 \nL 195.714372 133.012425 \nL 197.971241 130.716021 \nL 200.057807 128.336627 \nL 201.917476 125.918271 \nL 203.491955 123.513287 \nL 204.724016 121.180878 \nL 205.560846 118.984651 \nL 205.957717 116.989181 \nL 205.881679 115.255815 \nL 205.31481 113.838096 \nL 204.25655 112.77737 \nL 202.724773 112.099255 \nL 200.755289 111.811487 \nL 198.399785 111.903572 \nL 195.722428 112.34833 \nL 192.795546 113.105051 \nL 189.694946 114.123798 \nL 186.495434 115.350105 \nL 180.071947 118.211137 \nL 173.983093 121.311385 \nL 168.52954 124.39154 \nL 163.863192 127.314804 \nL 160.022503 130.036052 \nL 156.972935 132.562606 \nL 154.641067 134.922692 \nL 152.938932 137.145944 \nL 151.77946 139.254186 \nL 151.085246 141.258763 \nL 150.792839 143.161241 \nL 150.854256 144.95525 \nL 151.236942 146.628338 \nL 151.922947 148.163214 \nL 152.907798 149.538265 \nL 154.199302 150.727328 \nL 155.816336 151.698808 \nL 157.787529 152.414276 \nL 160.149577 152.826599 \nL 162.944749 152.877921 \nL 166.21689 152.49782 \nL 170.004942 151.602433 \nL 172.100842 150.93189 \nL 174.332691 150.095863 \nL 176.698554 149.081448 \nL 179.193255 147.876127 \nL 181.807533 146.468428 \nL 184.527097 144.848836 \nL 187.331624 143.010899 \nL 190.193741 140.952634 \nL 193.078114 138.678122 \nL 195.940715 136.199306 \nL 198.72849 133.537821 \nL 201.379556 130.726673 \nL 203.824211 127.811485 \nL 205.986877 124.850979 \nL 207.789179 121.91629 \nL 209.154116 119.088779 \nL 210.011206 116.456158 \nL 210.302156 114.106923 \nL 209.986516 112.123535 \nL 209.046462 110.575103 \nL 207.489951 109.510619 \nL 205.351583 108.953919 \nL 202.690814 108.901362 \nL 199.587682 109.32273 \nL 196.136632 110.165275 \nL 192.439323 111.360068 \nL 188.597472 112.829618 \nL 184.706626 114.495362 \nL 177.102913 118.132219 \nL 170.134749 121.815712 \nL 164.080845 125.287835 \nL 159.034532 128.45629 \nL 154.966317 131.330669 \nL 151.779607 133.964729 \nL 149.350523 136.419139 \nL 147.552545 138.743403 \nL 146.269969 140.970532 \nL 145.404073 143.118209 \nL 144.87497 145.192466 \nL 144.621096 147.191565 \nL 144.597588 149.109095 \nL 144.774314 150.936127 \nL 145.13396 152.662373 \nL 145.670438 154.276638 \nL 146.387685 155.766651 \nL 147.298901 157.118464 \nL 148.426189 158.315442 \nL 149.800547 159.336897 \nL 151.462102 160.156299 \nL 153.460441 160.739007 \nL 155.854754 161.039427 \nL 158.713365 160.997582 \nL 162.11192 160.535143 \nL 166.129039 159.551424 \nL 168.392931 158.825723 \nL 170.837617 157.920429 \nL 173.468747 156.815908 \nL 176.289105 155.491401 \nL 179.297494 153.925577 \nL 182.487383 152.097387 \nL 185.845294 149.987327 \nL 189.348994 147.579176 \nL 192.965508 144.862283 \nL 196.64913 141.834438 \nL 200.33962 138.505294 \nL 203.960911 134.900139 \nL 207.420731 131.063669 \nL 210.611681 127.063211 \nL 213.414234 122.990556 \nL 215.702128 118.961428 \nL 217.350268 115.111651 \nL 218.244888 111.589319 \nL 218.295056 108.542974 \nL 217.443977 106.106832 \nL 215.678122 104.385075 \nL 213.032126 103.438304 \nL 209.588056 103.275106 \nL 205.468672 103.850948 \nL 200.82566 105.075017 \nL 195.82504 106.8234 \nL 190.632347 108.955722 \nL 185.399984 111.331711 \nL 175.310978 116.330713 \nL 166.277334 121.096474 \nL 155.324465 127.169701 \nL 149.738391 130.501898 \nL 145.338516 133.405927 \nL 141.914229 136.020727 \nL 139.256808 138.455963 \nL 137.178102 140.784756 \nL 135.516976 143.04891 \nL 134.139328 145.267729 \nL 131.813498 149.581928 \nL 129.527244 153.696489 \nL 128.239104 155.658894 \nL 126.779508 157.545847 \nL 125.093337 159.346165 \nL 123.123351 161.044876 \nL 120.808586 162.620383 \nL 118.083757 164.040411 \nL 114.880193 165.256493 \nL 113.077255 165.766713 \nL 111.129197 166.196617 \nL 109.028613 166.531995 \nL 106.769309 166.755913 \nL 104.346903 166.848365 \nL 101.759576 166.785955 \nL 99.009 166.541666 \nL 96.101472 166.084756 \nL 93.049223 165.380902 \nL 89.871919 164.39268 \nL 86.598249 163.080534 \nL 83.267528 161.404396 \nL 79.931109 159.326112 \nL 76.653352 156.812789 \nL 73.511823 153.841098 \nL 70.596301 150.40238 \nL 68.006216 146.508243 \nL 65.846226 142.195889 \nL 64.219834 137.532272 \nL 63.221368 132.615903 \nL 62.927055 127.575161 \nL 63.386403 122.562358 \nL 64.61535 117.743545 \nL 66.59262 113.285034 \nL 69.260159 109.338593 \nL 72.527891 106.027674 \nL 76.281952 103.437189 \nL 80.395008 101.608419 \nL 84.736891 100.539516 \nL 89.183963 100.190941 \nL 93.626154 100.49418 \nL 97.971263 101.361902 \nL 102.146681 102.697858 \nL 106.099037 104.40524 \nL 109.792448 106.392904 \nL 113.205994 108.579387 \nL 116.330952 110.894975 \nL 119.168082 113.282155 \nL 121.725204 115.695103 \nL 124.015143 118.098474 \nL 126.054052 120.465919 \nL 127.860085 122.77854 \nL 129.452378 125.023421 \nL 132.072841 129.280661 \nL 134.064028 133.209633 \nL 135.559395 136.81497 \nL 136.672832 140.117478 \nL 137.498075 143.144565 \nL 138.355312 147.231275 \nL 139.06251 151.969069 \nL 140.585952 164.078682 \nL 141.229443 166.581291 \nL 141.886857 168.214398 \nL 142.759031 169.63362 \nL 143.497921 170.453208 \nL 144.396921 171.16174 \nL 145.492743 171.746199 \nL 146.830335 172.187979 \nL 148.464581 172.460944 \nL 150.462127 172.528723 \nL 152.903176 172.340993 \nL 155.88283 171.828489 \nL 159.511211 170.8965 \nL 163.910876 169.416996 \nL 169.208918 167.220223 \nL 172.231761 165.786764 \nL 175.519396 164.088582 \nL 179.078516 162.091375 \nL 182.909475 159.759196 \nL 187.003737 157.055986 \nL 191.340752 153.947987 \nL 195.884324 150.407247 \nL 200.578584 146.416446 \nL 205.34394 141.975114 \nL 210.073482 137.107147 \nL 214.630768 131.869035 \nL 218.850089 126.357767 \nL 222.540553 120.716551 \nL 225.495249 115.135887 \nL 227.506314 109.847315 \nL 228.385427 105.107601 \nL 227.987803 101.172949 \nL 226.235633 98.265888 \nL 223.13573 96.540749 \nL 218.786134 96.056346 \nL 213.368598 96.763934 \nL 207.127489 98.515019 \nL 200.339755 101.087378 \nL 193.282881 104.222127 \nL 186.207653 107.66186 \nL 172.773901 114.604873 \nL 155.987332 123.358133 \nL 133.050898 134.9931 \nL 129.384034 137.156976 \nL 126.447092 139.147071 \nL 124.006138 141.039889 \nL 119.887566 144.6292 \nL 116.936832 147.11293 \nL 114.849979 148.617525 \nL 112.583592 149.954685 \nL 110.08415 151.075464 \nL 107.314205 151.921455 \nL 104.254752 152.423093 \nL 102.616724 152.519715 \nL 100.910157 152.498672 \nL 99.140477 152.348013 \nL 97.315618 152.055342 \nL 95.446342 151.608119 \nL 93.546557 150.994027 \nL 91.633579 150.201517 \nL 89.728327 149.220467 \nL 87.855389 148.043008 \nL 86.042926 146.664458 \nL 84.322334 145.084371 \nL 82.727653 143.307628 \nL 81.294651 141.345442 \nL 80.059588 139.216231 \nL 79.057693 136.946173 \nL 78.3214 134.569304 \nL 77.878461 132.127065 \nL 77.750104 129.667186 \nL 77.949412 127.241919 \nL 78.480095 124.905687 \nL 79.335845 122.712345 \nL 80.500368 120.712292 \nL 81.948094 118.949699 \nL 83.645535 117.460237 \nL 85.553141 116.269446 \nL 87.627429 115.391936 \nL 89.823195 114.831432 \nL 92.095605 114.581613 \nL 94.401987 114.627501 \nL 96.703232 114.947309 \nL 98.964763 115.514352 \nL 101.157085 116.299014 \nL 103.255955 117.270437 \nL 105.242254 118.398005 \nL 107.10165 119.652432 \nL 108.824103 121.006561 \nL 110.403295 122.435845 \nL 111.836038 123.918582 \nL 113.121691 125.435958 \nL 114.261614 126.971949 \nL 115.25867 128.513117 \nL 116.840632 131.56863 \nL 117.905629 134.536578 \nL 118.494187 137.37504 \nL 118.643283 140.05821 \nL 118.382829 142.569972 \nL 117.733979 144.898797 \nL 116.708781 147.033646 \nL 115.310865 148.960529 \nL 113.537025 150.659385 \nL 112.506871 151.414619 \nL 111.379787 152.101022 \nL 110.154784 152.713014 \nL 108.831168 153.244077 \nL 107.40874 153.68665 \nL 105.888051 154.032069 \nL 104.270695 154.270515 \nL 102.559632 154.390999 \nL 100.759571 154.381397 \nL 98.877377 154.228553 \nL 96.922517 153.918474 \nL 94.90752 153.436637 \nL 92.848425 152.768448 \nL 90.765193 151.89986 \nL 88.68202 150.818188 \nL 86.627526 149.513126 \nL 84.634696 147.977935 \nL 82.740564 146.210792 \nL 80.985538 144.216225 \nL 79.412284 142.00647 \nL 78.064214 139.602657 \nL 76.983541 137.035593 \nL 76.209036 134.345955 \nL 75.773577 131.583708 \nL 75.701799 128.806642 \nL 76.008016 126.078013 \nL 76.694743 123.463417 \nL 77.751994 121.027147 \nL 79.157507 118.828407 \nL 80.877906 116.917824 \nL 82.870668 115.334653 \nL 85.08667 114.104961 \nL 87.473032 113.241003 \nL 89.975945 112.741686 \nL 92.543207 112.594035 \nL 95.126312 112.775338 \nL 97.681939 113.255629 \nL 100.172884 114.00028 \nL 102.56844 114.972389 \nL 104.844352 116.13482 \nL 106.982429 117.451791 \nL 108.969959 118.890033 \nL 110.798986 120.419503 \nL 112.465547 122.013751 \nL 113.968926 123.649997 \nL 115.31095 125.309014 \nL 116.495358 126.974878 \nL 117.527244 128.634623 \nL 118.412593 130.277879 \nL 119.769765 133.484215 \nL 120.61933 136.549195 \nL 121.009631 139.448322 \nL 120.980554 142.169462 \nL 120.561364 144.706959 \nL 119.770009 147.057159 \nL 118.613442 149.214898 \nL 117.088674 151.170424 \nL 115.184533 152.906452 \nL 114.085082 153.683937 \nL 112.884248 154.395056 \nL 111.579677 155.034087 \nL 110.169229 155.594193 \nL 108.651199 156.067302 \nL 107.024584 156.443996 \nL 105.289407 156.713413 \nL 103.447087 156.863186 \nL 101.500876 156.879408 \nL 99.456355 156.746692 \nL 97.321984 156.448309 \nL 95.109688 155.966467 \nL 92.835474 155.282759 \nL 90.520022 154.378825 \nL 88.189194 153.237264 \nL 85.874423 151.842814 \nL 83.612833 150.183821 \nL 81.447051 148.253976 \nL 79.424547 146.054204 \nL 77.59645 143.594597 \nL 76.015743 140.896198 \nL 74.734882 137.992334 \nL 73.802859 134.929206 \nL 73.262008 131.765488 \nL 73.144737 128.570663 \nL 73.470639 125.42209 \nL 74.244346 122.400896 \nL 75.454468 119.587065 \nL 77.073826 117.05426 \nL 79.061 114.86504 \nL 81.363037 113.067041 \nL 83.918939 111.690591 \nL 86.663528 110.74801 \nL 89.531211 110.234517 \nL 92.459272 110.130415 \nL 95.390461 110.404217 \nL 98.27474 111.016136 \nL 101.070226 111.921573 \nL 103.743428 113.074197 \nL 106.268936 114.428511 \nL 108.628737 115.941688 \nL 110.811296 117.57485 \nL 112.810554 119.293718 \nL 114.624909 121.068858 \nL 116.256266 122.875576 \nL 117.709173 124.693609 \nL 118.990077 126.506673 \nL 120.106686 128.301965 \nL 121.067444 130.069654 \nL 122.556415 133.494806 \nL 123.525261 136.745349 \nL 124.034972 139.805652 \nL 124.13518 142.672568 \nL 123.862349 145.349328 \nL 123.239383 147.84124 \nL 122.276045 150.152511 \nL 120.969876 152.283655 \nL 119.307454 154.229072 \nL 117.266055 155.974365 \nL 114.81598 157.493141 \nL 113.427315 158.155109 \nL 111.924003 158.743081 \nL 110.302212 159.248489 \nL 108.558702 159.661144 \nL 106.69117 159.969054 \nL 104.698665 160.158279 \nL 102.582093 160.212817 \nL 100.344807 160.114548 \nL 97.993289 159.843272 \nL 95.53792 159.376898 \nL 92.993822 158.691834 \nL 90.381716 157.763631 \nL 87.728768 156.567953 \nL 85.069302 155.081952 \nL 82.445277 153.286068 \nL 79.906376 151.166269 \nL 77.509533 148.71666 \nL 75.317732 145.942312 \nL 73.397926 142.862061 \nL 71.818023 139.510871 \nL 70.643022 135.941297 \nL 69.930504 132.223581 \nL 69.725896 128.443928 \nL 70.058114 124.700766 \nL 70.936184 121.099152 \nL 72.347425 117.743714 \nL 74.257622 114.731083 \nL 76.613198 112.142787 \nL 79.345146 110.039636 \nL 82.374175 108.458333 \nL 85.616288 107.410725 \nL 88.98814 106.885456 \nL 92.411529 106.851584 \nL 95.816736 107.263388 \nL 99.144564 108.065579 \nL 102.347185 109.198225 \nL 105.388039 110.600946 \nL 108.24102 112.21616 \nL 110.889245 113.991251 \nL 113.323638 115.87985 \nL 115.541464 117.842343 \nL 117.544952 119.845806 \nL 119.340063 121.863571 \nL 120.935422 123.874581 \nL 122.341428 125.862635 \nL 123.569533 127.815624 \nL 125.539775 131.584222 \nL 126.939939 135.140019 \nL 127.855355 138.470382 \nL 128.357867 141.578754 \nL 128.503798 144.477014 \nL 128.333692 147.180585 \nL 127.872958 149.705331 \nL 127.1329 152.065527 \nL 126.111793 154.272375 \nL 124.795852 156.332638 \nL 123.160088 158.24711 \nL 121.169152 160.008594 \nL 118.778452 161.599057 \nL 115.936002 162.985621 \nL 114.327876 163.586786 \nL 112.585754 164.115053 \nL 110.702969 164.559404 \nL 108.673571 164.906567 \nL 106.492767 165.140709 \nL 104.157506 165.243164 \nL 101.667185 165.192176 \nL 99.024515 164.962742 \nL 96.236552 164.526575 \nL 93.31589 163.852293 \nL 90.28198 162.905932 \nL 87.162534 161.6519 \nL 83.994893 160.054475 \nL 80.827218 158.080041 \nL 77.719254 155.70008 \nL 74.742402 152.894971 \nL 71.978748 149.658448 \nL 69.518749 146.002399 \nL 67.45731 141.961421 \nL 65.888243 137.596334 \nL 64.897298 132.995696 \nL 64.554475 128.27439 \nL 64.906517 123.568642 \nL 65.970859 119.027435 \nL 67.732164 114.801148 \nL 70.142299 111.028787 \nL 73.123937 107.825979 \nL 76.577269 105.275617 \nL 80.388694 103.422675 \nL 84.440059 102.273751 \nL 88.617107 101.800923 \nL 92.81612 101.948689 \nL 96.948303 102.642545 \nL 100.941929 103.797672 \nL 104.742555 105.326569 \nL 108.311886 107.145045 \nL 111.62581 109.176299 \nL 114.672037 111.353291 \nL 117.447713 113.619625 \nL 119.957203 115.92943 \nL 122.210146 118.246539 \nL 124.219833 120.543319 \nL 126.001896 122.799341 \nL 127.573276 125.000102 \nL 130.153752 129.200454 \nL 132.0976 133.105522 \nL 133.529089 136.711525 \nL 134.554917 140.033259 \nL 135.262733 143.094125 \nL 135.721897 145.920427 \nL 136.056313 149.776761 \nL 136.068499 153.243908 \nL 135.824544 156.389925 \nL 135.348071 159.271032 \nL 134.628525 161.933548 \nL 133.994788 163.606357 \nL 133.215806 165.208881 \nL 132.265463 166.749398 \nL 131.110362 168.234493 \nL 129.708759 169.668396 \nL 128.009252 171.051747 \nL 125.949333 172.379557 \nL 123.454014 173.637905 \nL 120.434949 174.798768 \nL 116.790854 175.812125 \nL 112.410743 176.594231 \nL 109.909291 176.859195 \nL 107.182542 177.010991 \nL 104.219298 177.021368 \nL 101.011395 176.855943 \nL 97.555277 176.473397 \nL 93.854006 175.824839 \nL 89.919767 174.853498 \nL 85.776872 173.495014 \nL 81.465185 171.678689 \nL 77.043787 169.330137 \nL 72.594461 166.375831 \nL 68.224407 162.750006 \nL 64.067236 158.404162 \nL 60.281125 153.318942 \nL 57.042929 147.517394 \nL 54.537379 141.077574 \nL 52.941265 134.141423 \nL 52.403861 126.916289 \nL 53.026432 119.665877 \nL 54.845015 112.689396 \nL 57.820796 106.290838 \nL 61.84128 100.743678 \nL 66.73264 96.258597 \nL 72.280688 92.961474 \nL 78.255672 90.885941 \nL 84.435616 89.98074 \nL 90.624224 90.128145 \nL 96.661503 91.167896 \nL 102.42735 92.921047 \nL 107.839797 95.209784 \nL 112.849948 97.871401 \nL 117.435528 100.766281 \nL 121.594389 103.780865 \nL 125.338744 106.827136 \nL 128.690441 109.839962 \nL 131.67732 112.773424 \nL 134.330508 115.597 \nL 136.6825 118.291971 \nL 140.61213 123.262339 \nL 143.712836 127.667883 \nL 147.280998 133.289599 \nL 150.922174 139.190553 \nL 152.565383 141.550104 \nL 154.228019 143.552725 \nL 155.993305 145.211835 \nL 157.933354 146.528797 \nL 160.1121 147.492587 \nL 161.309149 147.835129 \nL 162.586883 148.079467 \nL 163.95142 148.220622 \nL 165.408341 148.252823 \nL 166.962552 148.16954 \nL 168.618104 147.963547 \nL 170.377952 147.627026 \nL 172.24366 147.151714 \nL 174.215034 146.529111 \nL 176.289683 145.750785 \nL 178.462514 144.808769 \nL 180.725169 143.69607 \nL 183.065404 142.407324 \nL 185.466454 140.939598 \nL 187.906412 139.293309 \nL 190.357692 137.473291 \nL 192.786633 135.489927 \nL 195.153367 133.360268 \nL 197.412045 131.109043 \nL 199.511531 128.769405 \nL 201.396703 126.38317 \nL 203.010383 124.000426 \nL 204.295941 121.67828 \nL 205.200471 119.478623 \nL 205.678347 117.464951 \nL 205.694843 115.698379 \nL 205.229399 114.233219 \nL 204.27811 113.112652 \nL 202.855024 112.365056 \nL 200.991952 112.001638 \nL 198.736764 112.01573 \nL 196.150301 112.38392 \nL 193.302314 113.068847 \nL 190.266933 114.023202 \nL 187.118217 115.19424 \nL 183.926265 116.528284 \nL 177.656207 119.487815 \nL 171.849323 122.572827 \nL 166.742723 125.576674 \nL 162.439285 128.403144 \nL 158.945902 131.030781 \nL 156.211457 133.476492 \nL 154.156672 135.769197 \nL 152.694497 137.934943 \nL 151.742584 139.990681 \nL 151.230068 141.943132 \nL 151.10064 143.790033 \nL 151.313394 145.521995 \nL 151.842444 147.124062 \nL 152.675985 148.576628 \nL 153.81512 149.855608 \nL 155.27265 150.931913 \nL 157.07177 151.770327 \nL 159.244541 152.327902 \nL 161.829748 152.552043 \nL 164.869605 152.378617 \nL 168.404481 151.730643 \nL 170.367677 151.201151 \nL 172.464487 150.518616 \nL 174.694959 149.670496 \nL 177.056576 148.644237 \nL 179.543513 147.427781 \nL 182.145796 146.010255 \nL 184.848376 144.382875 \nL 187.630158 142.540078 \nL 190.463016 140.480911 \nL 193.310947 138.210617 \nL 196.129417 135.742379 \nL 198.865104 133.099074 \nL 201.456235 130.314838 \nL 203.833677 127.436174 \nL 205.922995 124.522261 \nL 207.647595 121.644083 \nL 208.932903 118.882074 \nL 209.71143 116.322155 \nL 209.928311 114.050159 \nL 209.546655 112.145172 \nL 208.552032 110.672472 \nL 206.955266 109.677172 \nL 204.792955 109.179653 \nL 202.125484 109.17366 \nL 199.032665 109.627499 \nL 195.607626 110.488206 \nL 191.949844 111.687823 \nL 188.158289 113.150769 \nL 184.325522 114.800956 \nL 176.849931 118.390434 \nL 170.010469 122.020104 \nL 164.073979 125.443854 \nL 159.128734 128.574096 \nL 155.144864 131.420218 \nL 152.027975 134.033518 \nL 149.65748 136.471703 \nL 147.910402 138.781711 \nL 146.674421 140.994587 \nL 145.8539 143.126648 \nL 145.37173 145.182961 \nL 145.168885 147.161012 \nL 145.2029 149.053679 \nL 145.446 150.851221 \nL 145.883303 152.542337 \nL 146.511325 154.114491 \nL 147.336872 155.553632 \nL 148.37635 156.843452 \nL 149.655447 157.964207 \nL 151.209116 158.891126 \nL 153.081714 159.592373 \nL 155.327065 160.026469 \nL 158.008079 160.13917 \nL 161.195321 159.859827 \nL 164.963514 159.097593 \nL 167.088325 158.500666 \nL 169.384474 157.738284 \nL 171.858371 156.792427 \nL 174.51417 155.643842 \nL 177.352831 154.27244 \nL 180.370965 152.657946 \nL 183.55946 150.780874 \nL 186.901875 148.623881 \nL 190.372665 146.173628 \nL 193.935311 143.423148 \nL 197.540499 140.374747 \nL 201.124601 137.043348 \nL 204.608781 133.460066 \nL 207.899141 129.67556 \nL 210.888365 125.762627 \nL 213.459372 121.817154 \nL 215.491219 117.956565 \nL 216.86731 114.314945 \nL 217.485443 111.034422 \nL 217.268666 108.253082 \nL 216.175328 106.090736 \nL 214.206514 104.63469 \nL 211.409071 103.928388 \nL 207.873199 103.965523 \nL 203.724674 104.691207 \nL 199.112941 106.010126 \nL 194.197227 107.799944 \nL 189.133089 109.926932 \nL 184.061417 112.260818 \nL 174.345213 117.110363 \nL 165.693006 121.704411 \nL 158.380766 125.76175 \nL 152.424569 129.25844 \nL 147.695199 132.295995 \nL 144.001668 135.007002 \nL 141.14101 137.506949 \nL 138.923685 139.878366 \nL 137.184146 142.171867 \nL 135.783229 144.413529 \nL 134.071993 147.697468 \nL 131.037901 153.949511 \nL 129.297596 156.87694 \nL 127.935189 158.740266 \nL 126.35119 160.523957 \nL 124.490787 162.21697 \nL 122.294135 163.802496 \nL 119.695435 165.254247 \nL 116.623223 166.531259 \nL 113.002703 167.570762 \nL 110.963843 167.973601 \nL 108.761445 168.278765 \nL 106.388651 168.467708 \nL 103.840585 168.518409 \nL 101.115201 168.404988 \nL 98.214371 168.097429 \nL 95.145165 167.56146 \nL 91.921389 166.758705 \nL 88.565308 165.647252 \nL 85.109498 164.182819 \nL 81.598692 162.320692 \nL 78.091375 160.018623 \nL 74.660831 157.240875 \nL 71.395192 153.963371 \nL 68.396036 150.179804 \nL 65.775024 145.90814 \nL 63.648283 141.196709 \nL 62.128529 136.128534 \nL 61.315371 130.822557 \nL 61.284913 125.430351 \nL 62.080212 120.127695 \nL 63.704391 115.101285 \nL 66.118018 110.532139 \nL 69.241579 106.578421 \nL 72.962768 103.360702 \nL 77.147358 100.952335 \nL 81.651595 99.376407 \nL 86.334036 98.609143 \nL 91.065184 98.588405 \nL 95.733976 99.224993 \nL 100.251061 100.414583 \nL 104.549288 102.048423 \nL 108.582205 104.021685 \nL 112.321374 106.239191 \nL 115.753181 108.618594 \nL 118.875635 111.091523 \nL 121.695444 113.603277 \nL 124.225525 116.111581 \nL 126.482966 118.584913 \nL 128.487415 121.00068 \nL 130.259855 123.343465 \nL 133.194062 127.775074 \nL 135.451167 131.845978 \nL 137.181204 135.560613 \nL 138.513378 138.941849 \nL 139.995551 143.454466 \nL 143.616709 155.626746 \nL 144.355607 157.25546 \nL 145.204258 158.723918 \nL 146.196414 160.030131 \nL 147.369304 161.166776 \nL 148.765293 162.120278 \nL 150.433448 162.869408 \nL 152.430946 163.383292 \nL 154.824161 163.618699 \nL 157.689055 163.516515 \nL 161.110193 162.99743 \nL 165.177212 161.957188 \nL 167.480484 161.201169 \nL 169.976793 160.262448 \nL 172.673989 159.119609 \nL 175.577223 157.74964 \nL 178.687766 156.128435 \nL 182.001538 154.231617 \nL 185.507359 152.035789 \nL 189.18488 149.520341 \nL 193.002298 146.669902 \nL 196.913944 143.477513 \nL 200.857994 139.948509 \nL 204.754611 136.104979 \nL 208.505052 131.99042 \nL 211.992282 127.673995 \nL 215.083831 123.253372 \nL 217.637418 118.855038 \nL 219.509736 114.630713 \nL 220.568144 110.748914 \nL 220.704338 107.381401 \nL 219.848199 104.685546 \nL 217.979273 102.785065 \nL 215.133364 101.752957 \nL 211.402174 101.600486 \nL 206.925414 102.275456 \nL 201.876653 103.670378 \nL 196.445553 105.638829 \nL 190.819984 108.01604 \nL 185.171001 110.639175 \nL 174.346933 116.07275 \nL 160.510111 123.416034 \nL 150.131444 129.167464 \nL 144.955724 132.266248 \nL 140.911863 134.976548 \nL 137.76023 137.444326 \nL 135.281021 139.77108 \nL 133.284266 142.017366 \nL 131.610943 144.213018 \nL 128.733057 148.47843 \nL 126.601941 151.54127 \nL 125.047821 153.494169 \nL 123.309116 155.356237 \nL 121.323298 157.106425 \nL 119.029149 158.717496 \nL 116.3659 160.152511 \nL 113.274116 161.360048 \nL 111.550079 161.857019 \nL 109.69908 162.268151 \nL 107.71616 162.580064 \nL 105.597802 162.777177 \nL 103.34245 162.841502 \nL 100.951161 162.752477 \nL 98.428371 162.486928 \nL 95.782801 162.019138 \nL 93.028467 161.321157 \nL 90.185769 160.363416 \nL 87.282606 159.115724 \nL 84.355391 157.548748 \nL 81.449843 155.636094 \nL 78.621358 153.356959 \nL 75.934732 150.699366 \nL 73.462969 147.663829 \nL 71.28498 144.267079 \nL 69.482034 140.545434 \nL 68.132979 136.557134 \nL 67.308512 132.382924 \nL 67.065025 128.124291 \nL 67.438829 123.898926 \nL 68.441593 119.833579 \nL 70.057927 116.054863 \nL 72.245586 112.679287 \nL 74.938449 109.803898 \nL 78.051836 107.499045 \nL 81.489342 105.804326 \nL 85.150154 104.728039 \nL 88.935824 104.249978 \nL 92.75577 104.32667 \nL 96.531072 104.897954 \nL 100.196543 105.893848 \nL 103.701276 107.240744 \nL 107.008034 108.866468 \nL 110.091868 110.703918 \nL 112.938353 112.693329 \nL 115.541671 114.783367 \nL 117.902786 116.931316 \nL 120.027774 119.102667 \nL 121.926397 121.270307 \nL 123.610909 123.413545 \nL 125.095095 125.517091 \nL 126.393506 127.57008 \nL 128.491701 131.497905 \nL 130.018502 135.168212 \nL 131.074696 138.579066 \nL 131.744743 141.743101 \nL 132.095683 144.679945 \nL 132.177715 147.411685 \nL 132.025561 149.960311 \nL 131.660056 152.346308 \nL 131.089625 154.587861 \nL 130.311463 156.700407 \nL 129.312343 158.69624 \nL 128.069029 160.583969 \nL 126.548374 162.367641 \nL 124.707181 164.045289 \nL 122.492074 165.606632 \nL 119.839691 167.029518 \nL 116.677832 168.274635 \nL 114.881562 168.811747 \nL 112.92853 169.277948 \nL 110.809165 169.659681 \nL 108.514666 169.940394 \nL 106.037585 170.100079 \nL 103.372588 170.114811 \nL 100.517425 169.956312 \nL 97.474147 169.591612 \nL 94.250588 168.982906 \nL 90.862113 168.087722 \nL 87.333596 166.859578 \nL 83.701551 165.249329 \nL 80.016235 163.207464 \nL 76.343451 160.687523 \nL 72.765664 157.650889 \nL 69.381889 154.072859 \nL 66.305802 149.949811 \nL 63.661499 145.306728 \nL 61.576553 140.203985 \nL 60.172479 134.741805 \nL 59.553301 129.060648 \nL 59.793664 123.336054 \nL 60.928494 117.767339 \nL 62.946384 112.560896 \nL 65.788373 107.910498 \nL 69.352778 103.977953 \nL 73.505297 100.877876 \nL 78.092477 98.66925 \nL 82.955984 97.354976 \nL 87.94533 96.888503 \nL 92.927354 97.185406 \nL 97.791896 98.137117 \nL 102.45383 99.624216 \nL 106.852293 101.527558 \nL 110.948082 103.736356 \nL 114.720125 106.153137 \nL 118.161754 108.695983 \nL 121.27719 111.298777 \nL 124.078506 113.910132 \nL 126.583116 116.491547 \nL 128.811804 119.015316 \nL 130.787213 121.462438 \nL 134.071616 126.083122 \nL 136.619141 130.310278 \nL 138.597173 134.146492 \nL 140.151085 137.616123 \nL 141.948079 142.20441 \nL 144.707422 149.539545 \nL 146.099858 152.436368 \nL 147.146458 154.109555 \nL 148.339739 155.578181 \nL 149.725271 156.835864 \nL 151.351809 157.868143 \nL 153.272994 158.651073 \nL 155.548556 159.149246 \nL 158.244716 159.313217 \nL 161.433285 159.076407 \nL 165.188516 158.35181 \nL 167.300931 157.773144 \nL 169.580282 157.029426 \nL 172.032552 156.103304 \nL 174.661423 154.976287 \nL 177.467358 153.629154 \nL 180.446487 152.042611 \nL 183.589277 150.198249 \nL 186.87899 148.079898 \nL 190.290004 145.675423 \nL 193.786029 142.979017 \nL 197.318426 139.993982 \nL 200.82481 136.735909 \nL 204.228279 133.236024 \nL 207.437648 129.544328 \nL 210.349153 125.731916 \nL 212.849999 121.891766 \nL 214.824072 118.137111 \nL 216.159771 114.596696 \nL 216.759532 111.406552 \nL 216.550038 108.698599 \nL 215.491687 106.587224 \nL 213.585517 105.15601 \nL 210.876065 104.447108 \nL 207.44913 104.455634 \nL 203.424538 105.130724 \nL 198.945014 106.382982 \nL 194.163144 108.096886 \nL 189.22867 110.145432 \nL 184.277974 112.404061 \nL 174.767123 117.127869 \nL 166.266931 121.638975 \nL 159.059834 125.652393 \nL 153.174147 129.132543 \nL 148.493091 132.169221 \nL 144.836044 134.886431 \nL 142.007968 137.39445 \nL 139.825216 139.773182 \nL 138.126663 142.072232 \nL 136.776622 144.317573 \nL 135.166631 147.604313 \nL 131.491546 155.834156 \nL 130.409334 157.743822 \nL 129.167329 159.58566 \nL 127.717965 161.354802 \nL 126.00973 163.044077 \nL 123.985362 164.641784 \nL 121.580579 166.128498 \nL 118.723661 167.472532 \nL 115.336538 168.623547 \nL 113.418854 169.103728 \nL 111.338518 169.50374 \nL 109.086376 169.80767 \nL 106.6545 169.996305 \nL 104.036901 170.046662 \nL 101.230447 169.931537 \nL 98.235993 169.61915 \nL 95.0598 169.072937 \nL 91.715203 168.251637 \nL 88.22453 167.109806 \nL 84.621189 165.598985 \nL 80.951781 163.669726 \nL 77.278 161.27472 \nL 73.677918 158.373203 \nL 70.246239 154.936715 \nL 67.092878 150.95599 \nL 64.339347 146.44842 \nL 62.112526 141.46509 \nL 60.535768 136.095927 \nL 59.717912 130.471195 \nL 59.741411 124.75782 \nL 60.651499 119.14964 \nL 62.448524 113.851991 \nL 65.085324 109.062594 \nL 68.470533 104.951943 \nL 72.477461 101.646825 \nL 76.956849 99.220129 \nL 81.751087 97.688417 \nL 86.707405 97.016897 \nL 91.688218 97.129907 \nL 96.577713 97.924277 \nL 101.284752 99.282834 \nL 105.742717 101.086107 \nL 109.907307 103.221159 \nL 113.753205 105.587288 \nL 117.270372 108.098882 \nL 120.460475 110.686119 \nL 123.333729 113.294171 \nL 125.906268 115.881543 \nL 128.198053 118.418022 \nL 130.231253 120.882588 \nL 132.029029 123.261451 \nL 135.010887 127.733261 \nL 137.321209 131.810594 \nL 139.11897 135.506003 \nL 141.146142 140.396427 \nL 145.334853 151.32884 \nL 146.293517 153.138595 \nL 147.367459 154.746117 \nL 148.600705 156.150095 \nL 150.039137 157.341944 \nL 151.732463 158.304731 \nL 153.735784 159.011628 \nL 156.110637 159.42375 \nL 158.925136 159.487401 \nL 162.252625 159.130833 \nL 166.167792 158.260935 \nL 168.367601 157.597949 \nL 170.738615 156.761009 \nL 173.285903 155.731999 \nL 176.011805 154.491813 \nL 178.914902 153.020878 \nL 181.98879 151.299959 \nL 185.220628 149.311306 \nL 188.589498 147.040225 \nL 192.064634 144.477151 \nL 195.603646 141.6202 \nL 199.150905 138.478222 \nL 202.636388 135.074141 \nL 205.975338 131.448307 \nL 209.069152 127.661396 \nL 211.80797 123.796093 \nL 214.075327 119.956821 \nL 215.755027 116.266613 \nL 216.740019 112.86057 \nL 216.942585 109.875808 \nL 216.304526 107.438645 \nL 214.805721 105.650758 \nL 212.469274 104.576658 \nL 209.361876 104.235188 \nL 205.588899 104.597165 \nL 201.284831 105.589823 \nL 196.600704 107.107292 \nL 191.69075 109.024715 \nL 186.700444 111.21313 \nL 176.966409 115.940149 \nL 168.133575 120.567272 \nL 160.564206 124.729131 \nL 154.33627 128.34263 \nL 149.357028 131.479654 \nL 145.453231 134.264121 \nL 142.428104 136.813751 \nL 140.09206 139.217264 \nL 138.276646 141.53168 \nL 136.838903 143.788196 \nL 135.138053 147.090452 \nL 130.820749 156.344554 \nL 129.652381 158.235857 \nL 128.302936 160.056396 \nL 126.722562 161.7998 \nL 124.856854 163.456381 \nL 122.645272 165.010452 \nL 120.020259 166.436517 \nL 116.90752 167.693884 \nL 113.228337 168.719192 \nL 111.15184 169.116412 \nL 108.905358 169.416384 \nL 106.481313 169.599927 \nL 103.874115 169.64414 \nL 101.081062 169.521992 \nL 98.103478 169.20197 \nL 94.948097 168.647928 \nL 91.628718 167.819182 \nL 88.168072 166.671081 \nL 84.59985 165.156199 \nL 80.970745 163.226367 \nL 77.342242 160.835813 \nL 73.791826 157.945514 \nL 70.4131 154.52884 \nL 67.3143 150.578253 \nL 64.614653 146.112546 \nL 62.438203 141.183553 \nL 60.905086 135.880969 \nL 60.120838 130.333589 \nL 60.164935 124.705512 \nL 61.080366 119.186506 \nL 62.86638 113.976992 \nL 65.476053 109.269521 \nL 68.819614 105.229874 \nL 72.773071 101.981255 \nL 77.190567 99.594524 \nL 81.918104 98.085876 \nL 86.806304 97.42167 \nL 91.720428 97.528523 \nL 96.546814 98.30617 \nL 101.195729 99.640518 \nL 105.601311 101.415007 \nL 109.719482 103.519199 \nL 113.524759 105.854346 \nL 117.006686 108.336282 \nL 120.166363 110.896138 \nL 123.013372 113.479656 \nL 125.563199 116.0456 \nL 127.83518 118.563808 \nL 129.850891 121.013155 \nL 131.632953 123.379682 \nL 134.586793 127.834536 \nL 136.870915 131.903656 \nL 138.641567 135.597987 \nL 140.032656 138.944657 \nL 141.645952 143.383581 \nL 144.152534 150.528868 \nL 145.434569 153.376333 \nL 146.403361 155.031995 \nL 147.511532 156.495636 \nL 148.80173 157.761777 \nL 150.320104 158.81756 \nL 152.118027 159.641433 \nL 154.253454 160.201255 \nL 156.791677 160.451762 \nL 159.805058 160.331394 \nL 163.370952 159.758667 \nL 167.56654 158.628726 \nL 169.922166 157.815119 \nL 172.458585 156.811518 \nL 175.179557 155.598159 \nL 178.085348 154.154516 \nL 181.171496 152.460028 \nL 184.427352 150.495172 \nL 187.8344 148.242973 \nL 191.364394 145.691016 \nL 194.977435 142.834009 \nL 198.620148 139.676878 \nL 202.22423 136.238303 \nL 205.705724 132.554377 \nL 208.965482 128.681964 \nL 211.891315 124.701026 \nL 214.362249 120.715117 \nL 216.255225 116.84898 \nL 217.454047 113.242622 \nL 217.860051 110.041447 \nL 217.403248 107.383071 \nL 216.05215 105.38238 \nL 213.820373 104.117387 \nL 210.768318 103.618753 \nL 206.999124 103.865606 \nL 202.649301 104.788839 \nL 197.875635 106.281321 \nL 192.84079 108.212679 \nL 187.7 110.445577 \nL 182.590771 112.8502 \nL 172.893892 117.752154 \nL 164.343411 122.319844 \nL 157.169314 126.31735 \nL 151.355848 129.750723 \nL 146.755512 132.735619 \nL 143.168647 135.408151 \nL 140.389395 137.882055 \nL 138.228379 140.236388 \nL 136.521571 142.518347 \nL 135.131684 144.751335 \nL 133.399875 148.023735 \nL 130.763752 153.244389 \nL 128.98076 156.200037 \nL 127.595041 158.081415 \nL 125.990145 159.881236 \nL 124.110545 161.587268 \nL 121.896302 163.181426 \nL 119.282185 164.636041 \nL 116.198068 165.908653 \nL 114.457063 166.4577 \nL 112.571445 166.934949 \nL 110.532749 167.327427 \nL 108.333389 167.619533 \nL 105.967182 167.792641 \nL 103.430027 167.824733 \nL 100.72077 167.690058 \nL 97.842261 167.358904 \nL 94.802637 166.797532 \nL 91.616797 165.968412 \nL 88.308077 164.830863 \nL 84.909998 163.342287 \nL 81.467981 161.460168 \nL 78.040772 159.145027 \nL 74.701285 156.364384 \nL 71.53644 153.09782 \nL 68.645547 149.342773 \nL 66.136831 145.120703 \nL 64.121795 140.482585 \nL 62.707528 135.512665 \nL 61.987427 130.329085 \nL 62.031403 125.080216 \nL 62.877105 119.936161 \nL 64.523791 115.075844 \nL 66.930286 110.67128 \nL 70.017703 106.871511 \nL 73.676618 103.789086 \nL 77.777432 101.491417 \nL 82.182048 99.998287 \nL 86.754967 99.285354 \nL 91.372237 99.292274 \nL 95.927499 99.933358 \nL 100.335028 101.108754 \nL 104.530191 102.71446 \nL 108.468061 104.650187 \nL 112.120895 106.8247 \nL 115.475159 109.158867 \nL 118.528495 111.586769 \nL 121.286966 114.055436 \nL 123.76268 116.52375 \nL 125.971833 118.96087 \nL 127.933165 121.344529 \nL 129.666767 123.659381 \nL 132.532774 128.047183 \nL 134.72924 132.088865 \nL 136.400868 135.786796 \nL 137.672283 139.162013 \nL 139.050213 143.682795 \nL 140.297213 148.851765 \nL 141.963142 156.056465 \nL 142.7613 158.560117 \nL 143.735837 160.749925 \nL 144.527438 162.036874 \nL 145.467536 163.180809 \nL 146.591318 164.172543 \nL 147.940213 164.99717 \nL 149.563397 165.632533 \nL 151.519247 166.047075 \nL 153.876622 166.196897 \nL 156.715573 166.02191 \nL 160.126846 165.440975 \nL 164.208982 164.346307 \nL 169.060984 162.59802 \nL 171.803306 161.425409 \nL 174.767405 160.021082 \nL 177.957168 158.358334 \nL 181.371271 156.409574 \nL 185.00129 154.147547 \nL 188.829432 151.547122 \nL 192.825958 148.58785 \nL 196.946369 145.257354 \nL 201.128598 141.555622 \nL 205.290559 137.500098 \nL 209.328578 133.131239 \nL 213.117429 128.517875 \nL 216.512756 123.761322 \nL 219.356719 118.9968 \nL 221.48738 114.390546 \nL 222.751807 110.131181 \nL 223.021927 106.414724 \nL 222.211148 103.424107 \nL 220.2887 101.306059 \nL 217.28842 100.149824 \nL 213.309295 99.972874 \nL 208.506764 100.717747 \nL 203.076147 102.261305 \nL 197.231506 104.434285 \nL 191.184273 107.046251 \nL 185.125489 109.910161 \nL 173.571264 115.77071 \nL 154.90382 125.652326 \nL 145.204338 130.96899 \nL 140.438028 133.815962 \nL 136.719856 136.329034 \nL 133.796462 138.646694 \nL 131.446479 140.855481 \nL 129.483759 143.000859 \nL 126.133274 147.152124 \nL 123.679426 150.1158 \nL 121.905491 151.987528 \nL 119.936211 153.747508 \nL 117.70682 155.364805 \nL 115.157843 156.800059 \nL 112.235386 158.001751 \nL 110.619384 158.494436 \nL 108.893812 158.901478 \nL 107.055221 159.210821 \nL 105.101635 159.408709 \nL 103.032981 159.479561 \nL 100.851607 159.405913 \nL 98.562889 159.168452 \nL 96.175916 158.746159 \nL 93.704242 158.116661 \nL 91.16667 157.2568 \nL 88.588015 156.143491 \nL 85.999769 154.754949 \nL 83.440558 153.072296 \nL 80.956269 151.08157 \nL 78.599671 148.776073 \nL 76.429408 146.158956 \nL 74.508215 143.245797 \nL 72.900265 140.066845 \nL 71.667751 136.668551 \nL 70.866811 133.113882 \nL 70.543179 129.481107 \nL 70.728048 125.860767 \nL 71.434698 122.350863 \nL 72.656452 119.050671 \nL 74.36632 116.053832 \nL 76.518533 113.441621 \nL 79.051733 111.277365 \nL 81.893436 109.602678 \nL 84.96512 108.436054 \nL 88.187275 107.773727 \nL 91.483851 107.592465 \nL 94.785719 107.853683 \nL 98.032984 108.508146 \nL 101.176163 109.500669 \nL 104.176403 110.774215 \nL 107.00497 112.273247 \nL 109.642261 113.946097 \nL 112.076542 115.746472 \nL 114.302608 117.634199 \nL 116.320467 119.575379 \nL 118.134133 121.54213 \nL 119.750567 123.512083 \nL 121.178769 125.467713 \nL 122.429032 127.395651 \nL 123.512342 129.286001 \nL 125.222738 132.92804 \nL 126.396077 136.362114 \nL 127.108772 139.579551 \nL 127.423543 142.58486 \nL 127.387924 145.389197 \nL 127.034207 148.00613 \nL 126.380128 150.44882 \nL 125.429844 152.728034 \nL 124.174955 154.85048 \nL 122.595512 156.817113 \nL 120.661066 158.621068 \nL 118.332007 160.244878 \nL 115.561614 161.656683 \nL 113.995186 162.267964 \nL 112.299535 162.805119 \nL 110.468773 163.2576 \nL 108.497727 163.612746 \nL 106.382379 163.855532 \nL 104.1204 163.96831 \nL 101.711819 163.930625 \nL 99.159823 163.719074 \nL 96.4717 163.307319 \nL 93.659924 162.666302 \nL 90.743346 161.764747 \nL 87.748439 160.570062 \nL 84.710517 159.049742 \nL 81.674751 157.173405 \nL 78.696823 154.915495 \nL 75.842947 152.258669 \nL 73.188959 149.197764 \nL 70.818247 145.744018 \nL 68.818261 141.929098 \nL 67.275629 137.808194 \nL 66.270001 133.461431 \nL 65.867265 128.992738 \nL 66.112817 124.525678 \nL 67.026046 120.196136 \nL 68.596948 116.142483 \nL 70.785673 112.49439 \nL 73.525243 109.362002 \nL 76.727091 106.827255 \nL 80.2885 104.938534 \nL 84.100805 103.709491 \nL 88.057134 103.12166 \nL 92.058734 103.130067 \nL 96.01943 103.670568 \nL 99.868071 104.667568 \nL 103.549219 106.041104 \nL 107.022495 107.712613 \nL 110.261043 109.609092 \nL 113.249533 111.665661 \nL 115.982032 113.826802 \nL 118.45996 116.046571 \nL 120.690239 118.288068 \nL 122.683731 120.522531 \nL 124.453928 122.728205 \nL 126.015919 124.889206 \nL 127.385571 126.994406 \nL 129.611661 131.011012 \nL 131.254876 134.75071 \nL 132.424669 138.214125 \nL 133.213208 141.41664 \nL 133.694497 144.380437 \nL 133.925247 147.129887 \nL 133.946555 149.689019 \nL 133.785821 152.08022 \nL 133.458537 154.323676 \nL 132.969757 156.437153 \nL 132.315172 158.435975 \nL 131.481741 160.332992 \nL 130.447907 162.138419 \nL 129.18343 163.859436 \nL 127.648891 165.49935 \nL 125.795 167.056141 \nL 123.561872 168.520065 \nL 120.878604 169.869889 \nL 117.663751 171.067225 \nL 113.82773 172.04818 \nL 111.647937 172.427772 \nL 109.278877 172.711659 \nL 106.710803 172.878856 \nL 103.935937 172.903953 \nL 100.949513 172.75653 \nL 97.751118 172.400638 \nL 94.346355 171.794457 \nL 90.748861 170.890278 \nL 86.982666 169.634994 \nL 83.084773 167.971388 \nL 79.107854 165.840479 \nL 75.12268 163.185318 \nL 71.219872 159.956426 \nL 67.510272 156.119037 \nL 64.123212 151.661865 \nL 61.20188 146.60666 \nL 58.895235 141.017149 \nL 57.346466 135.005309 \nL 56.678818 128.732605 \nL 56.980624 122.40412 \nL 58.292219 116.25456 \nL 60.597637 110.527189 \nL 63.823443 105.448762 \nL 67.845376 101.205184 \nL 72.501762 97.922894 \nL 77.610849 95.659515 \nL 82.98863 94.404928 \nL 88.464041 94.091262 \nL 93.889647 94.608604 \nL 99.147234 95.82256 \nL 104.148967 97.590473 \nL 108.83532 99.774284 \nL 113.171124 102.24921 \nL 117.14088 104.908483 \nL 120.744132 107.664932 \nL 123.991357 110.450303 \nL 126.900541 113.213284 \nL 129.494486 115.916901 \nL 131.79876 118.5358 \nL 133.840186 121.053691 \nL 137.241889 125.753789 \nL 139.905736 129.993725 \nL 142.016524 133.791338 \nL 144.485906 138.735383 \nL 147.737695 145.269772 \nL 149.00089 147.367788 \nL 150.34948 149.195301 \nL 151.844441 150.756278 \nL 153.543609 152.045032 \nL 155.504152 153.045295 \nL 157.784182 153.728978 \nL 159.062569 153.939708 \nL 160.443228 154.054587 \nL 161.933644 154.066047 \nL 163.541127 153.965471 \nL 165.27264 153.743171 \nL 167.134554 153.388388 \nL 169.132323 152.889333 \nL 171.270081 152.233307 \nL 173.550122 151.406886 \nL 175.972263 150.396242 \nL 178.533086 149.187611 \nL 181.225049 147.767954 \nL 184.035469 146.12586 \nL 186.945416 144.252708 \nL 189.928566 142.144129 \nL 192.9501 139.801756 \nL 195.965771 137.235198 \nL 198.921323 134.464156 \nL 201.752471 131.520447 \nL 204.385681 128.449668 \nL 206.740031 125.312082 \nL 208.730277 122.182314 \nL 210.271269 119.147377 \nL 211.283523 116.302757 \nL 211.699622 113.746466 \nL 211.470723 111.571485 \nL 210.572325 109.857324 \nL 209.008298 108.661997 \nL 206.812349 108.015772 \nL 204.046454 107.917953 \nL 200.796302 108.337421 \nL 197.16442 109.216929 \nL 193.261989 110.480321 \nL 189.200623 112.041265 \nL 185.08516 113.812009 \nL 177.047172 117.667299 \nL 169.697408 121.54311 \nL 163.330894 125.161371 \nL 158.038644 128.430772 \nL 153.779284 131.371954 \nL 150.441227 134.051705 \nL 147.885934 136.541709 \nL 145.973939 138.899375 \nL 144.578548 141.162859 \nL 143.59174 143.353111 \nL 142.925556 145.478366 \nL 142.511077 147.538687 \nL 142.296317 149.52958 \nL 142.270036 152.371247 \nL 142.534345 155.018114 \nL 143.059609 157.447471 \nL 143.557567 158.935273 \nL 144.185458 160.309362 \nL 144.960542 161.561207 \nL 145.906714 162.680019 \nL 147.055043 163.651607 \nL 148.444571 164.456895 \nL 150.123307 165.070041 \nL 152.149289 165.455945 \nL 154.591474 165.567038 \nL 157.530031 165.339198 \nL 161.055259 164.686768 \nL 165.26381 163.497038 \nL 167.654293 162.656801 \nL 170.250029 161.625295 \nL 173.059693 160.37913 \nL 176.089038 158.893107 \nL 179.33958 157.140764 \nL 182.806958 155.095297 \nL 186.478938 152.730975 \nL 190.333091 150.025196 \nL 194.334183 146.961295 \nL 198.431447 143.532199 \nL 202.555997 139.744913 \nL 206.618771 135.625649 \nL 210.509636 131.225172 \nL 214.098333 126.62353 \nL 217.238063 121.933062 \nL 219.772407 117.298187 \nL 221.545887 112.890428 \nL 222.41781 108.897632 \nL 222.278076 105.507287 \nL 221.062589 102.885484 \nL 218.765293 101.154944 \nL 215.443708 100.376735 \nL 211.216041 100.540379 \nL 206.249751 101.565334 \nL 200.743581 103.313933 \nL 194.906762 105.61254 \nL 188.9394 108.275872 \nL 183.017328 111.129062 \nL 171.842132 116.846293 \nL 154.007249 126.336003 \nL 144.805479 131.47008 \nL 140.291575 134.256894 \nL 136.770036 136.743964 \nL 133.997542 139.05684 \nL 131.762685 141.27239 \nL 129.888136 143.42988 \nL 126.661024 147.609867 \nL 124.273051 150.596755 \nL 122.536423 152.486189 \nL 120.601133 154.267429 \nL 118.402893 155.911455 \nL 115.881591 157.381044 \nL 112.981426 158.626986 \nL 111.37355 159.146235 \nL 109.653346 159.583151 \nL 107.816653 159.925893 \nL 105.860657 160.160859 \nL 103.784312 160.272522 \nL 101.588856 160.243338 \nL 99.278429 160.053711 \nL 96.860782 159.682107 \nL 94.348065 159.105306 \nL 91.757669 158.298911 \nL 89.113081 157.238129 \nL 86.444664 155.898946 \nL 83.790268 154.25968 \nL 81.195533 152.30302 \nL 78.713713 150.018442 \nL 76.404861 147.404966 \nL 74.334212 144.474013 \nL 72.569635 141.252043 \nL 71.178163 137.782539 \nL 70.221783 134.12687 \nL 69.752716 130.36353 \nL 69.808798 126.585421 \nL 70.409507 122.89516 \nL 71.553279 119.398662 \nL 73.216647 116.197712 \nL 75.355391 113.382442 \nL 77.907654 111.024852 \nL 80.798558 109.1742 \nL 83.945671 107.854907 \nL 87.264568 107.067008 \nL 90.673833 106.788909 \nL 94.099019 106.981666 \nL 97.475343 107.594101 \nL 100.749117 108.567959 \nL 103.878096 109.842521 \nL 106.830992 111.358376 \nL 109.586414 113.060112 \nL 112.131519 114.89803 \nL 114.460549 116.829024 \nL 116.573402 118.816791 \nL 118.474311 120.831543 \nL 120.170693 122.849458 \nL 121.672173 124.851964 \nL 122.989773 126.824973 \nL 124.135263 128.758135 \nL 125.957794 132.478168 \nL 127.2323 135.979931 \nL 128.041231 139.255732 \nL 128.452806 142.311742 \nL 128.519524 145.161144 \nL 128.278195 147.819764 \nL 127.750721 150.303293 \nL 126.945171 152.625443 \nL 125.856834 154.796523 \nL 124.469158 156.822077 \nL 122.75458 158.701278 \nL 120.675399 160.424736 \nL 118.185002 161.971427 \nL 115.229965 163.304348 \nL 113.560531 163.873298 \nL 111.753861 164.364629 \nL 109.803541 164.766319 \nL 107.704062 165.063945 \nL 105.451325 165.240394 \nL 103.043276 165.275592 \nL 100.480686 165.146278 \nL 97.768096 164.825896 \nL 94.914922 164.284652 \nL 91.936718 163.489833 \nL 88.856541 162.406504 \nL 85.706367 160.998696 \nL 82.528406 159.231237 \nL 79.376122 157.072315 \nL 76.314743 154.49687 \nL 73.420886 151.49072 \nL 70.781019 148.055258 \nL 68.488417 144.212222 \nL 66.638482 140.007928 \nL 65.322477 135.515993 \nL 64.620104 130.837613 \nL 64.591725 126.09856 \nL 65.271361 121.442511 \nL 66.661655 117.020972 \nL 68.731933 112.981046 \nL 71.419845 109.452683 \nL 74.636538 106.537632 \nL 78.274461 104.301845 \nL 82.216525 102.772448 \nL 86.345159 101.939382 \nL 90.550036 101.760884 \nL 94.733729 102.171408 \nL 98.815031 103.090438 \nL 102.730163 104.430842 \nL 106.432282 106.105806 \nL 109.8899 108.033981 \nL 113.084668 110.142742 \nL 116.008971 112.369812 \nL 118.663586 114.663647 \nL 121.055576 116.982936 \nL 123.196497 119.295583 \nL 125.100915 121.577435 \nL 126.785226 123.810959 \nL 128.266737 125.98398 \nL 130.691183 130.120066 \nL 132.50888 133.956948 \nL 133.840588 137.496435 \nL 134.788844 140.756101 \nL 135.437135 143.760493 \nL 135.851016 146.536126 \nL 136.137148 150.326716 \nL 136.116933 153.738852 \nL 135.849986 156.838699 \nL 135.355263 159.680803 \nL 134.618739 162.310154 \nL 133.972983 163.963594 \nL 133.18052 165.548662 \nL 132.214445 167.073427 \nL 131.040512 168.54426 \nL 129.616019 169.965128 \nL 127.888466 171.336301 \nL 125.794077 172.65222 \nL 123.256426 173.898049 \nL 120.185598 175.044289 \nL 116.478758 176.038574 \nL 114.351935 176.453219 \nL 112.02369 176.793496 \nL 109.480028 177.040181 \nL 106.708034 177.169403 \nL 103.696809 177.15182 \nL 100.438725 176.951771 \nL 96.931084 176.526482 \nL 93.178219 175.825458 \nL 89.194109 174.790243 \nL 85.005487 173.354847 \nL 80.655353 171.44719 \nL 76.206685 168.992063 \nL 71.745891 165.916066 \nL 67.385332 162.155029 \nL 63.26394 157.664029 \nL 59.544754 152.429745 \nL 56.408187 146.483915 \nL 54.040222 139.915694 \nL 52.615628 132.879647 \nL 52.27777 125.595603 \nL 53.118151 118.33747 \nL 55.160043 111.410139 \nL 58.350538 105.117105 \nL 62.563833 99.724719 \nL 67.615561 95.430965 \nL 73.285121 92.345653 \nL 79.340855 90.485763 \nL 85.562871 89.785363 \nL 91.759817 90.115735 \nL 97.778182 91.309942 \nL 103.504741 93.186431 \nL 108.863945 95.568023 \nL 113.812392 98.294817 \nL 118.332211 101.231186 \nL 122.424587 104.267942 \nL 126.104135 107.321296 \nL 129.394347 110.329855 \nL 132.324116 113.250864 \nL 134.925191 116.056315 \nL 139.272258 121.261694 \nL 142.690987 125.896627 \nL 145.413954 129.978493 \nL 152.918909 141.674532 \nL 154.600557 143.632498 \nL 156.393645 145.245451 \nL 158.369396 146.513349 \nL 159.445751 147.014487 \nL 160.590886 147.423678 \nL 161.81164 147.737368 \nL 163.114424 147.951191 \nL 164.50515 148.059987 \nL 165.989144 148.057826 \nL 167.570988 147.938043 \nL 169.254328 147.693321 \nL 171.041619 147.3158 \nL 172.933805 146.797257 \nL 174.929933 146.129332 \nL 177.026705 145.303873 \nL 179.217958 144.313352 \nL 181.494086 143.151427 \nL 183.841424 141.813637 \nL 186.241629 140.29822 \nL 188.67109 138.607088 \nL 191.100446 136.746891 \nL 193.494285 134.730127 \nL 195.811125 132.57623 \nL 198.003784 130.312476 \nL 200.020275 127.974543 \nL 201.805282 125.606578 \nL 203.302294 123.260517 \nL 204.456364 120.994528 \nL 205.21738 118.870514 \nL 205.543603 116.95069 \nL 205.405152 115.293508 \nL 204.786993 113.949292 \nL 203.691026 112.956146 \nL 202.136892 112.336734 \nL 200.161312 112.096464 \nL 197.815943 112.223371 \nL 195.164 112.689786 \nL 192.276083 113.455493 \nL 189.225699 114.471856 \nL 186.085037 115.686315 \nL 179.794543 118.504155 \nL 173.843642 121.549362 \nL 168.519745 124.575198 \nL 163.967851 127.4513 \nL 160.224509 130.134011 \nL 157.256456 132.629247 \nL 154.993163 134.962709 \nL 153.350161 137.161468 \nL 152.243892 139.245169 \nL 151.60021 141.223466 \nL 151.358574 143.096591 \nL 151.473557 144.857053 \nL 151.914854 146.491306 \nL 152.6665 147.980843 \nL 153.725772 149.302602 \nL 155.101969 150.428636 \nL 156.815116 151.325168 \nL 158.894463 151.951133 \nL 161.376464 152.256379 \nL 164.301746 152.179803 \nL 167.710306 151.647935 \nL 169.606345 151.184861 \nL 171.633888 150.574886 \nL 173.793692 149.805803 \nL 176.084239 148.865257 \nL 178.501051 147.741188 \nL 181.035906 146.422431 \nL 183.675967 144.899507 \nL 186.402832 143.165653 \nL 189.191598 141.218071 \nL 192.009947 139.059407 \nL 194.817442 136.699391 \nL 197.565101 134.156568 \nL 200.195482 131.459901 \nL 202.643427 128.650069 \nL 204.837688 125.780107 \nL 206.703539 122.915055 \nL 208.166458 120.130297 \nL 209.156738 117.508344 \nL 209.614734 115.134042 \nL 209.49623 113.088482 \nL 208.777253 111.442191 \nL 207.457563 110.24855 \nL 205.562158 109.538505 \nL 203.14041 109.317505 \nL 200.262786 109.565342 \nL 197.015574 110.238982 \nL 193.494365 111.277838 \nL 189.797232 112.610604 \nL 186.018485 114.162366 \nL 178.546256 117.642314 \nL 171.607551 121.250807 \nL 165.514114 124.70305 \nL 160.390379 127.880204 \nL 156.230785 130.772738 \nL 152.954885 133.42358 \nL 150.448584 135.88879 \nL 148.590674 138.21688 \nL 147.267926 140.441492 \nL 146.382496 142.581341 \nL 145.854623 144.643234 \nL 145.622683 146.625679 \nL 145.641936 148.521946 \nL 145.882774 150.322192 \nL 146.328961 152.014666 \nL 146.976119 153.586118 \nL 147.83058 155.021562 \nL 148.908636 156.303552 \nL 150.236148 157.41097 \nL 151.848438 158.317402 \nL 153.790293 158.989028 \nL 156.115832 159.381997 \nL 158.887825 159.439273 \nL 162.175776 159.08707 \nL 166.051703 158.231315 \nL 168.231458 157.578993 \nL 170.581972 156.755154 \nL 173.108297 155.741739 \nL 175.812844 154.519705 \nL 178.694382 153.069529 \nL 181.746818 151.371978 \nL 184.957783 149.409223 \nL 188.307001 147.166369 \nL 191.764549 144.633468 \nL 195.289078 141.808025 \nL 198.8262 138.697978 \nL 202.307312 135.325008 \nL 205.649162 131.727875 \nL 208.754663 127.965313 \nL 211.515297 124.117838 \nL 213.815588 120.28763 \nL 215.539743 116.595679 \nL 216.580321 113.175562 \nL 216.84826 110.163745 \nL 216.283043 107.687056 \nL 214.861358 105.848969 \nL 212.602538 104.716992 \nL 209.56934 104.313871 \nL 205.863504 104.614644 \nL 201.616621 105.550527 \nL 196.97786 107.018806 \nL 192.100716 108.896642 \nL 187.130963 111.055833 \nL 182.197426 113.37585 \nL 172.838911 118.107008 \nL 164.582422 122.534638 \nL 157.646698 126.437032 \nL 152.019959 129.815812 \nL 147.565195 132.775129 \nL 144.094586 135.439593 \nL 141.413193 137.914204 \nL 139.340953 140.272391 \nL 137.721597 142.558247 \nL 136.424347 144.79378 \nL 134.85337 148.067105 \nL 131.626107 155.278828 \nL 130.563239 157.207038 \nL 129.350356 159.068097 \nL 127.940078 160.85714 \nL 126.281609 162.567344 \nL 124.318843 164.187837 \nL 121.988977 165.700707 \nL 119.221905 167.076756 \nL 115.940975 168.269503 \nL 114.082774 168.775906 \nL 112.066148 169.206909 \nL 109.881739 169.547717 \nL 107.521222 169.78042 \nL 104.977933 169.883534 \nL 102.247711 169.83155 \nL 99.329946 169.594539 \nL 96.228869 169.13789 \nL 92.955128 168.422286 \nL 89.527601 167.404048 \nL 85.975407 166.036049 \nL 82.340006 164.269387 \nL 78.677181 162.056089 \nL 75.058558 159.353 \nL 71.572275 156.126999 \nL 68.322222 152.361456 \nL 65.425293 148.063473 \nL 63.006179 143.271121 \nL 61.189503 138.059353 \nL 60.089605 132.542965 \nL 59.798978 126.874933 \nL 60.376948 121.239021 \nL 61.840754 115.836435 \nL 64.160965 110.868027 \nL 67.262545 106.514698 \nL 71.031733 102.919647 \nL 75.327424 100.17572 \nL 79.994963 98.320098 \nL 84.879792 97.336594 \nL 89.838868 97.16425 \nL 94.748627 97.709756 \nL 99.509185 98.860957 \nL 104.045251 100.499262 \nL 108.304628 102.509527 \nL 112.255255 104.78684 \nL 115.881631 107.240379 \nL 119.181195 109.794854 \nL 122.161025 112.39024 \nL 124.835039 114.980384 \nL 127.221709 117.531118 \nL 129.342289 120.018172 \nL 131.219458 122.42518 \nL 134.335723 126.962763 \nL 136.749147 131.110361 \nL 138.621565 134.875021 \nL 140.092582 138.282614 \nL 141.796203 142.795578 \nL 144.427909 150.035239 \nL 145.765117 152.907389 \nL 146.772967 154.571901 \nL 147.923984 156.038169 \nL 149.262292 157.300253 \nL 150.835375 158.344486 \nL 152.695792 159.148095 \nL 154.902461 159.677278 \nL 157.521249 159.884636 \nL 160.624392 159.706006 \nL 164.2879 159.057007 \nL 166.353198 158.523434 \nL 168.585557 157.829972 \nL 170.991982 156.95936 \nL 173.577484 155.893017 \nL 176.344217 154.611372 \nL 179.290414 153.094425 \nL 182.409102 151.322588 \nL 185.686599 149.277905 \nL 189.100807 146.945705 \nL 192.619396 144.316773 \nL 196.197964 141.390042 \nL 199.778428 138.175746 \nL 203.287879 134.698915 \nL 206.638343 131.002791 \nL 209.727849 127.151711 \nL 212.443315 123.23271 \nL 214.66557 119.354916 \nL 216.276697 115.645966 \nL 217.169383 112.244799 \nL 217.257478 109.290882 \nL 216.486385 106.91073 \nL 214.841492 105.203633 \nL 212.352867 104.229157 \nL 209.094873 103.999158 \nL 205.180313 104.476357 \nL 200.749998 105.57999 \nL 195.959511 107.197378 \nL 190.965532 109.198852 \nL 185.91394 111.452982 \nL 176.119206 116.257104 \nL 167.288696 120.903733 \nL 159.758825 125.051675 \nL 153.586224 128.638231 \nL 148.663765 131.747682 \nL 144.809772 134.509421 \nL 141.823146 137.042362 \nL 139.512448 139.434408 \nL 137.708686 141.741114 \nL 136.268951 143.992275 \nL 134.539877 147.288585 \nL 130.523007 155.55298 \nL 129.32856 157.468968 \nL 127.95652 159.312995 \nL 126.355832 161.077532 \nL 124.471527 162.751687 \nL 122.243127 164.318501 \nL 119.603802 165.751097 \nL 116.480779 167.007296 \nL 114.714068 167.550111 \nL 112.797852 168.02222 \nL 110.723054 168.41036 \nL 108.481434 168.698486 \nL 106.06613 168.867358 \nL 103.472373 168.894116 \nL 100.698392 168.751903 \nL 97.746538 168.409576 \nL 94.624646 167.831611 \nL 91.347638 166.978289 \nL 87.939315 165.806337 \nL 84.434292 164.270199 \nL 80.879872 162.324148 \nL 77.337663 159.925421 \nL 73.884551 157.038523 \nL 70.612598 153.640721 \nL 67.627344 149.728433 \nL 65.044038 145.323985 \nL 62.981495 140.481741 \nL 61.553624 135.29221 \nL 60.859221 129.882701 \nL 60.971231 124.41313 \nL 61.927211 119.066422 \nL 63.722846 114.034045 \nL 66.310129 109.498535 \nL 69.600844 105.615897 \nL 73.474929 102.501145 \nL 77.792179 100.219547 \nL 82.405119 98.78477 \nL 87.170899 98.163637 \nL 91.960635 98.285671 \nL 96.665413 99.055146 \nL 101.198969 100.363292 \nL 105.497676 102.098893 \nL 109.518628 104.156382 \nL 113.236689 106.441099 \nL 116.641139 108.872079 \nL 119.732428 111.382787 \nL 122.519246 113.920527 \nL 125.016075 116.445011 \nL 127.241202 118.926554 \nL 129.215181 121.344179 \nL 130.959651 123.68383 \nL 133.847125 128.098523 \nL 136.071324 132.143492 \nL 137.783005 135.82719 \nL 139.111426 139.174719 \nL 140.615021 143.633662 \nL 143.844984 153.822179 \nL 144.616323 155.557983 \nL 145.489073 157.121767 \nL 146.49915 158.513346 \nL 147.68504 159.726875 \nL 149.089589 160.750023 \nL 150.761646 161.56266 \nL 152.757495 162.135004 \nL 155.141898 162.425056 \nL 157.988405 162.375299 \nL 161.378272 161.908682 \nL 165.396832 160.92429 \nL 167.667818 160.198929 \nL 170.125506 159.293726 \nL 172.776991 158.18823 \nL 175.626677 156.860571 \nL 178.675143 155.287951 \nL 181.917756 153.447463 \nL 185.342999 151.317306 \nL 188.930546 148.878513 \nL 192.649129 146.117272 \nL 196.454305 143.027914 \nL 200.286375 139.616537 \nL 204.068718 135.905109 \nL 207.707043 131.935756 \nL 211.090059 127.774592 \nL 214.092201 123.514275 \nL 216.578909 119.274174 \nL 218.414763 115.197018 \nL 219.474278 111.441144 \nL 219.654481 108.168124 \nL 218.887659 105.526681 \nL 217.152056 103.635081 \nL 214.478156 102.565364 \nL 210.948756 102.332918 \nL 206.6922 102.894226 \nL 201.869778 104.153634 \nL 196.659607 105.97768 \nL 191.240062 108.213664 \nL 185.775543 110.708335 \nL 175.243773 115.945225 \nL 161.665949 123.151894 \nL 151.401435 128.893688 \nL 146.261848 132.017044 \nL 142.242677 134.759308 \nL 139.115823 137.259375 \nL 136.669205 139.616116 \nL 134.718079 141.889934 \nL 133.107166 144.111719 \nL 131.054571 147.367875 \nL 127.812443 152.555354 \nL 126.360383 154.517097 \nL 124.724493 156.394434 \nL 122.845017 158.17049 \nL 120.661736 159.823069 \nL 118.112808 161.321312 \nL 115.135065 162.62105 \nL 113.465823 163.177571 \nL 111.666445 163.658715 \nL 109.730278 164.052251 \nL 107.651693 164.343722 \nL 105.426569 164.516155 \nL 103.052882 164.54981 \nL 100.531446 164.421982 \nL 97.866801 164.106903 \nL 95.068258 163.575819 \nL 92.151077 162.79732 \nL 89.137749 161.738016 \nL 86.059307 160.363693 \nL 82.956531 158.641062 \nL 79.880891 156.540191 \nL 76.894956 154.037689 \nL 74.072034 151.120584 \nL 71.494675 147.790675 \nL 69.25181 144.068978 \nL 67.43437 139.999637 \nL 66.129456 135.652439 \nL 65.413413 131.123112 \nL 65.344594 126.53059 \nL 65.956762 122.0109 \nL 67.254306 117.707966 \nL 69.210225 113.762243 \nL 71.767422 110.2989 \nL 74.843282 107.417331 \nL 78.336749 105.183797 \nL 82.136795 103.628162 \nL 86.130928 102.744973 \nL 90.212603 102.498185 \nL 94.286779 102.828319 \nL 98.273353 103.660611 \nL 102.108561 104.912878 \nL 105.744784 106.502248 \nL 109.14923 108.350207 \nL 112.301947 110.385962 \nL 115.193601 112.548222 \nL 117.823265 114.785752 \nL 120.196389 117.057081 \nL 122.323056 119.329634 \nL 124.216517 121.578599 \nL 125.892009 123.785696 \nL 127.365842 125.937988 \nL 129.775019 130.046851 \nL 131.573128 133.871359 \nL 132.876787 137.409369 \nL 133.785302 140.67559 \nL 134.379431 143.692579 \nL 134.72215 146.485547 \nL 134.860406 149.079544 \nL 134.827189 151.498005 \nL 134.643521 153.762158 \nL 134.320173 155.890837 \nL 133.858977 157.900562 \nL 133.253711 159.805663 \nL 132.490555 161.618386 \nL 131.548137 163.348881 \nL 130.397212 165.00494 \nL 129.000007 166.591395 \nL 127.30931 168.108972 \nL 125.267433 169.552361 \nL 122.805273 170.9071 \nL 119.841903 172.144766 \nL 116.28549 173.215706 \nL 114.254011 173.664817 \nL 112.036905 174.038482 \nL 109.622052 174.319143 \nL 106.998399 174.485184 \nL 104.156787 174.510255 \nL 101.091048 174.362585 \nL 97.799411 174.004368 \nL 94.286299 173.391298 \nL 90.564508 172.472436 \nL 86.657787 171.190608 \nL 82.603741 169.483651 \nL 78.456863 167.286844 \nL 74.291375 164.536909 \nL 70.203353 161.177936 \nL 66.31139 157.16938 \nL 62.754909 152.495892 \nL 59.689211 147.178212 \nL 57.276548 141.283476 \nL 55.673193 134.932586 \nL 55.01339 128.301843 \nL 55.392383 121.616313 \nL 56.851631 115.133771 \nL 59.369705 109.120485 \nL 62.86145 103.82249 \nL 67.186316 99.438115 \nL 72.164174 96.097603 \nL 77.595335 93.853741 \nL 83.280561 92.684582 \nL 89.037606 92.506113 \nL 94.712249 93.190842 \nL 100.18351 94.587801 \nL 105.363947 96.54041 \nL 110.196575 98.90008 \nL 114.65003 101.53493 \nL 118.713147 104.334144 \nL 122.389843 107.208877 \nL 125.694702 110.090925 \nL 128.649402 112.930132 \nL 131.279966 115.691307 \nL 133.614716 118.351146 \nL 137.51318 123.316728 \nL 140.571647 127.783001 \nL 142.996828 131.76223 \nL 145.831668 136.898091 \nL 148.840331 142.402395 \nL 150.256335 144.652419 \nL 151.726302 146.595518 \nL 153.321106 148.240175 \nL 155.105093 149.584252 \nL 157.138857 150.614243 \nL 158.267769 151.003909 \nL 159.480975 151.304372 \nL 160.785549 151.510308 \nL 162.188385 151.615496 \nL 163.696111 151.612785 \nL 165.314936 151.494094 \nL 167.050458 151.250423 \nL 168.907398 150.871914 \nL 170.889261 150.347946 \nL 172.997919 149.667323 \nL 175.233092 148.818536 \nL 177.591732 147.790159 \nL 180.067309 146.571387 \nL 182.649004 145.152761 \nL 185.320823 143.527089 \nL 188.060695 141.690596 \nL 190.839576 139.644287 \nL 193.620715 137.395498 \nL 196.359138 134.959528 \nL 199.001569 132.36127 \nL 201.486919 129.636565 \nL 203.747563 126.833071 \nL 205.71155 124.010272 \nL 207.305782 121.238348 \nL 208.460187 118.595609 \nL 209.112602 116.164407 \nL 209.213972 114.025682 \nL 208.733249 112.252588 \nL 207.661304 110.904008 \nL 206.013155 110.01885 \nL 203.828008 109.612266 \nL 201.166988 109.674349 \nL 198.108727 110.171788 \nL 194.743469 111.052053 \nL 191.166528 112.249514 \nL 187.471956 113.692253 \nL 183.747182 115.308616 \nL 176.501705 118.807588 \nL 169.886692 122.34089 \nL 164.151053 125.680621 \nL 159.376427 128.745379 \nL 155.533742 131.543104 \nL 152.533301 134.120331 \nL 150.260723 136.529535 \nL 148.59942 138.813232 \nL 147.44304 140.999181 \nL 146.701318 143.101383 \nL 146.301953 145.123207 \nL 146.190297 147.060766 \nL 146.328018 148.905564 \nL 146.691415 150.646257 \nL 147.269803 152.269501 \nL 148.064167 153.760071 \nL 149.086187 155.100373 \nL 150.357611 156.26943 \nL 151.909929 157.241401 \nL 153.784191 157.983622 \nL 156.030747 158.454158 \nL 158.708512 158.59884 \nL 161.883139 158.347939 \nL 165.623133 157.612817 \nL 167.7256 157.030163 \nL 169.992397 156.283507 \nL 172.428652 155.355826 \nL 175.03713 154.229117 \nL 177.81733 152.884834 \nL 180.764376 151.304556 \nL 183.86772 149.470972 \nL 187.109655 147.369219 \nL 190.463707 144.988669 \nL 193.892955 142.325169 \nL 197.348483 139.383722 \nL 200.768148 136.181518 \nL 204.075991 132.751055 \nL 207.18265 129.142998 \nL 209.987206 125.428191 \nL 212.380795 121.69809 \nL 214.252258 118.062913 \nL 215.495731 114.64677 \nL 216.019716 111.579618 \nL 215.756683 108.986323 \nL 214.671772 106.97407 \nL 212.769045 105.620044 \nL 210.093804 104.961807 \nL 206.730169 104.992502 \nL 202.794041 105.662142 \nL 198.422549 106.88486 \nL 193.761798 108.550628 \nL 188.954996 110.538857 \nL 184.132636 112.731402 \nL 174.862669 117.326747 \nL 166.565535 121.735735 \nL 159.518369 125.681398 \nL 153.754487 129.123427 \nL 149.166123 132.142489 \nL 145.582075 134.853922 \nL 142.815623 137.361638 \nL 140.690005 139.741549 \nL 139.049709 142.041101 \nL 137.763686 144.285303 \nL 136.26919 147.566862 \nL 132.218261 157.678176 \nL 131.20998 159.520744 \nL 130.038506 161.298321 \nL 128.659587 163.008664 \nL 127.023848 164.647432 \nL 125.075056 166.206131 \nL 122.748734 167.669138 \nL 119.971437 169.009396 \nL 116.661278 170.1822 \nL 114.779101 170.684916 \nL 112.730764 171.116429 \nL 110.505589 171.461761 \nL 108.093762 171.702611 \nL 105.487 171.816811 \nL 102.679406 171.77778 \nL 99.668578 171.554026 \nL 96.457006 171.108743 \nL 93.053782 170.399655 \nL 89.476617 169.379229 \nL 85.754129 167.995477 \nL 81.928299 166.193608 \nL 78.056855 163.918822 \nL 74.215253 161.120482 \nL 70.49776 157.757886 \nL 67.01699 153.807573 \nL 63.901193 149.271776 \nL 61.288658 144.187079 \nL 59.318938 138.631769 \nL 58.121135 132.729924 \nL 57.800386 126.650098 \nL 58.4245 120.597109 \nL 60.013299 114.796638 \nL 62.533155 109.474276 \nL 65.898345 104.832362 \nL 69.979366 101.029042 \nL 74.616622 98.163755 \nL 79.636755 96.27162 \nL 84.868504 95.327004 \nL 90.155633 95.254466 \nL 95.365496 95.943834 \nL 100.393126 97.266146 \nL 105.161538 99.087831 \nL 109.619386 101.2816 \nL 113.737166 103.73356 \nL 117.502914 106.346913 \nL 120.918024 109.042926 \nL 123.993583 111.760102 \nL 126.747326 114.452237 \nL 129.201229 117.086035 \nL 131.379688 119.638636 \nL 133.308155 122.095333 \nL 136.516652 126.691479 \nL 139.021229 130.853369 \nL 140.99584 134.597686 \nL 143.283591 139.503394 \nL 146.229414 146.071227 \nL 147.351052 148.215477 \nL 148.539399 150.10957 \nL 149.850937 151.760019 \nL 151.339456 153.16489 \nL 153.058688 154.313005 \nL 155.064317 155.182796 \nL 157.415221 155.740694 \nL 160.173636 155.939093 \nL 163.403683 155.7141 \nL 165.215219 155.417895 \nL 167.167404 154.983518 \nL 169.266387 154.397723 \nL 171.516909 153.646196 \nL 173.921723 152.71377 \nL 176.480857 151.584768 \nL 179.190741 150.243533 \nL 182.043167 148.675194 \nL 185.02411 146.866705 \nL 188.112427 144.80821 \nL 191.278512 142.494775 \nL 194.482992 139.92846 \nL 197.67565 137.120684 \nL 200.79476 134.094733 \nL 203.767137 130.888146 \nL 206.509177 127.554624 \nL 208.929211 124.164937 \nL 210.931381 120.806271 \nL 212.421107 117.579469 \nL 213.311906 114.593862 \nL 213.533058 111.95964 \nL 213.037174 109.778437 \nL 211.806539 108.133218 \nL 209.857022 107.079116 \nL 207.238621 106.63704 \nL 204.032277 106.791385 \nL 200.343273 107.492512 \nL 196.292258 108.663519 \nL 192.005353 110.209979 \nL 187.604826 112.030722 \nL 183.201566 114.027741 \nL 174.745459 118.217838 \nL 167.163666 122.280487 \nL 160.702177 125.97713 \nL 155.400067 129.262221 \nL 151.172793 132.192267 \nL 147.877224 134.856308 \nL 145.353423 137.33722 \nL 143.447985 139.696639 \nL 142.025152 141.97342 \nL 140.97066 144.187953 \nL 140.191608 146.347895 \nL 139.382883 149.484591 \nL 138.709398 153.452519 \nL 137.103118 165.138789 \nL 136.368577 167.892914 \nL 135.610271 169.826906 \nL 134.598455 171.670076 \nL 133.738207 172.858573 \nL 132.689007 174.021602 \nL 131.407295 175.163884 \nL 129.8396 176.28802 \nL 127.920501 177.39267 \nL 125.570473 178.469545 \nL 122.693901 179.498583 \nL 119.17792 180.440286 \nL 114.893383 181.223855 \nL 112.419304 181.521416 \nL 109.700416 181.729346 \nL 106.719919 181.82079 \nL 103.462985 181.762186 \nL 99.918244 181.512069 \nL 96.079811 181.019896 \nL 91.949935 180.225031 \nL 87.542346 179.05617 \nL 82.886362 177.43157 \nL 78.031633 175.260632 \nL 73.053257 172.44753 \nL 68.056667 168.897689 \nL 63.181315 164.527795 \nL 58.601645 159.27976 \nL 54.523609 153.13812 \nL 51.174858 146.149089 \nL 48.787425 138.437595 \nL 47.573344 130.217132 \nL 47.695965 121.786631 \nL 49.242397 113.510158 \nL 52.204081 105.77959 \nL 56.47161 98.965955 \nL 61.846542 93.370316 \nL 68.067862 89.186342 \nL 74.846434 86.483409 \nL 81.898973 85.212444 \nL 88.974711 85.229993 \nL 95.871227 86.331872 \nL 102.439635 88.287501 \nL 108.5817 90.868393 \nL 114.242199 93.867794 \nL 119.399523 97.111365 \nL 124.056545 100.460559 \nL 128.232805 103.811082 \nL 131.958373 107.08855 \nL 135.269321 110.243021 \nL 138.204542 113.243512 \nL 143.105268 118.724799 \nL 146.963097 123.498234 \nL 151.374701 129.427518 \nL 155.799192 135.375978 \nL 157.750623 137.637239 \nL 159.689334 139.473474 \nL 161.707254 140.904471 \nL 163.878036 141.936434 \nL 165.039409 142.301261 \nL 166.259509 142.563073 \nL 167.543208 142.719386 \nL 168.894361 142.767165 \nL 170.315715 142.702933 \nL 173.373634 142.223063 \nL 176.710748 141.248669 \nL 180.290738 139.753651 \nL 184.038269 137.727593 \nL 187.829924 135.19008 \nL 189.688908 133.748009 \nL 191.487923 132.207625 \nL 193.196431 130.587235 \nL 194.781312 128.909756 \nL 196.207683 127.20268 \nL 197.440043 125.497712 \nL 198.443676 123.830018 \nL 199.186297 122.237058 \nL 199.639843 120.757016 \nL 199.782274 119.42691 \nL 199.5992 118.280514 \nL 199.085213 117.346309 \nL 198.244677 116.645651 \nL 197.091929 116.191398 \nL 195.650786 115.987222 \nL 193.953411 116.027618 \nL 192.038608 116.298683 \nL 189.949777 116.779521 \nL 187.73267 117.444123 \nL 183.095565 119.207235 \nL 178.464351 121.353423 \nL 174.10753 123.679674 \nL 170.208494 126.039239 \nL 166.870289 128.342697 \nL 164.132181 130.545226 \nL 161.989525 132.629841 \nL 160.411812 134.592909 \nL 159.356745 136.434103 \nL 158.78008 138.150683 \nL 158.641889 139.734851 \nL 158.910069 141.17293 \nL 159.561905 142.445343 \nL 160.584245 143.526787 \nL 161.97267 144.386312 \nL 163.729815 144.987201 \nL 165.862794 145.286853 \nL 168.379515 145.236873 \nL 171.283552 144.783965 \nL 174.567096 143.872317 \nL 178.20165 142.448531 \nL 182.126366 140.470281 \nL 186.234806 137.91982 \nL 188.309009 136.435675 \nL 190.362299 134.82257 \nL 192.36372 133.09401 \nL 194.278278 131.268869 \nL 196.067479 129.37178 \nL 197.690206 127.433261 \nL 199.103991 125.489416 \nL 200.266698 123.581151 \nL 201.138546 121.752827 \nL 201.684382 120.05033 \nL 201.876015 118.51868 \nL 201.694401 117.199329 \nL 201.131439 116.127391 \nL 200.191126 115.32918 \nL 198.88989 114.820322 \nL 197.256006 114.604748 \nL 195.328126 114.674719 \nL 193.153078 115.011872 \nL 190.783141 115.589172 \nL 188.273153 116.373422 \nL 185.67769 117.328047 \nL 180.433177 119.601014 \nL 175.401493 122.139395 \nL 170.831655 124.741801 \nL 166.868673 127.284396 \nL 163.572108 129.70725 \nL 160.941492 131.991915 \nL 158.940308 134.140695 \nL 157.514848 136.161975 \nL 156.607401 138.061862 \nL 156.164598 139.840431 \nL 156.142148 141.490731 \nL 156.507081 142.999076 \nL 157.238379 144.345614 \nL 158.326559 145.504696 \nL 159.77256 146.444867 \nL 161.586015 147.128441 \nL 163.782823 147.51087 \nL 166.381737 147.540143 \nL 169.399478 147.156781 \nL 172.843754 146.295157 \nL 176.703482 144.887329 \nL 180.93571 142.870938 \nL 183.165422 141.619834 \nL 185.449375 140.203062 \nL 187.765743 138.62175 \nL 190.087583 136.881277 \nL 192.382527 134.992243 \nL 194.612731 132.971428 \nL 196.735154 130.842614 \nL 198.702274 128.637142 \nL 200.463315 126.394028 \nL 201.966039 124.159499 \nL 203.159092 121.985758 \nL 203.994843 119.928975 \nL 204.432484 118.046423 \nL 204.441179 116.392999 \nL 204.002867 115.017408 \nL 203.114384 113.958428 \nL 201.788544 113.241814 \nL 200.053978 112.878236 \nL 197.953649 112.862666 \nL 195.542227 113.175303 \nL 192.882585 113.783881 \nL 190.04187 114.64704 \nL 187.087623 115.718195 \nL 181.090618 118.294528 \nL 175.327252 121.16737 \nL 170.100076 124.083126 \nL 165.577478 126.894404 \nL 161.81988 129.53943 \nL 158.814267 132.009774 \nL 156.505457 134.321702 \nL 154.819722 136.496977 \nL 153.680547 138.552686 \nL 153.018121 140.497382 \nL 152.774389 142.330756 \nL 152.905223 144.044742 \nL 153.380881 145.624895 \nL 154.185493 147.051332 \nL 155.316076 148.299095 \nL 156.781256 149.33783 \nL 158.599771 150.130902 \nL 160.798564 150.634075 \nL 163.410127 150.794039 \nL 166.468571 150.547063 \nL 170.003578 149.8186 \nL 171.955685 149.247876 \nL 174.03124 148.524865 \nL 176.227932 147.638525 \nL 178.540648 146.578242 \nL 180.960763 145.334393 \nL 183.475372 143.899072 \nL 186.066466 142.267021 \nL 188.710129 140.436738 \nL 191.375785 138.411784 \nL 194.02562 136.202193 \nL 196.614309 133.825931 \nL 199.089147 131.310234 \nL 201.390801 128.692649 \nL 203.454796 126.021478 \nL 205.213845 123.355394 \nL 206.601063 120.761943 \nL 207.553943 118.314748 \nL 208.018874 116.089423 \nL 207.955708 114.158409 \nL 207.341913 112.585254 \nL 206.175596 111.419017 \nL 204.476943 110.689691 \nL 202.287666 110.405445 \nL 199.668442 110.552153 \nL 196.694621 111.095481 \nL 193.4508 111.984989 \nL 190.025001 113.159695 \nL 186.503178 114.55408 \nL 179.478913 117.749642 \nL 172.883929 121.139363 \nL 167.033572 124.442315 \nL 162.071182 127.52547 \nL 158.014943 130.359774 \nL 154.806837 132.970891 \nL 152.351399 135.402461 \nL 150.541924 137.695247 \nL 149.276162 139.878424 \nL 148.464621 141.968151 \nL 148.034136 143.969491 \nL 147.928678 145.87922 \nL 148.108689 147.688404 \nL 148.549804 149.384163 \nL 149.24143 150.950611 \nL 150.185453 152.368963 \nL 151.395209 153.617003 \nL 152.894675 154.667927 \nL 154.71781 155.488678 \nL 156.907795 156.03779 \nL 159.515836 156.262804 \nL 162.598907 156.097438 \nL 166.215565 155.458935 \nL 168.240981 154.931453 \nL 170.418495 154.246483 \nL 172.751731 153.388803 \nL 175.242 152.342517 \nL 177.887482 151.091487 \nL 180.682248 149.619968 \nL 183.615129 147.91352 \nL 186.668444 145.96021 \nL 189.816636 143.752186 \nL 193.024913 141.287615 \nL 196.248011 138.57294 \nL 199.429271 135.625395 \nL 202.500291 132.47552 \nL 205.381446 129.169412 \nL 207.983587 125.770201 \nL 210.211207 122.358252 \nL 211.967209 119.029448 \nL 213.159233 115.891136 \nL 213.707118 113.055546 \nL 213.550788 110.630952 \nL 212.657442 108.711524 \nL 211.026852 107.367332 \nL 208.69361 106.636286 \nL 205.725678 106.519681 \nL 202.219185 106.982489 \nL 198.29027 107.958328 \nL 194.065233 109.358225 \nL 189.670614 111.081341 \nL 185.224589 113.02572 \nL 176.573672 117.216088 \nL 168.712932 121.362945 \nL 161.948365 125.170048 \nL 156.35734 128.557042 \nL 151.874706 131.566474 \nL 148.363871 134.286473 \nL 145.664022 136.804868 \nL 143.617204 139.189613 \nL 142.081677 141.485078 \nL 140.937016 143.715668 \nL 140.084577 145.891613 \nL 139.186333 149.055116 \nL 138.575134 152.087405 \nL 137.451648 159.43637 \nL 136.845325 162.69516 \nL 136.266254 164.971251 \nL 135.51899 167.11971 \nL 134.535198 169.15859 \nL 133.705243 170.466518 \nL 132.698189 171.739869 \nL 131.473587 172.983291 \nL 129.982041 174.199572 \nL 128.163336 175.388039 \nL 125.944454 176.54193 \nL 123.237712 177.644257 \nL 119.939557 178.661232 \nL 115.931056 179.532156 \nL 113.619963 179.882917 \nL 111.082102 180.15424 \nL 108.301329 180.323126 \nL 105.262893 180.360823 \nL 101.954646 180.231765 \nL 98.368683 179.892503 \nL 94.503488 179.290713 \nL 90.366708 178.364479 \nL 85.978569 177.04214 \nL 81.375924 175.243112 \nL 76.616785 172.88022 \nL 71.784929 169.86422 \nL 66.993908 166.111176 \nL 62.389382 161.553226 \nL 58.148303 156.152734 \nL 54.473364 149.91892 \nL 51.581204 142.924705 \nL 49.68389 135.31989 \nL 48.964864 127.335787 \nL 49.552724 119.276559 \nL 51.498329 111.494789 \nL 54.761356 104.353293 \nL 59.210808 98.179925 \nL 64.640465 93.225735 \nL 70.795766 89.636536 \nL 77.405538 87.444037 \nL 84.211323 86.576434 \nL 90.989041 86.883275 \nL 97.560822 88.166574 \nL 103.797822 90.210872 \nL 109.616498 92.807176 \nL 114.971285 95.768861 \nL 119.8461 98.939864 \nL 124.246266 102.196782 \nL 128.191682 105.446948 \nL 131.711473 108.624282 \nL 134.840032 111.684377 \nL 137.614206 114.5996 \nL 142.24826 119.943585 \nL 145.899656 124.62502 \nL 150.083747 130.490437 \nL 154.302903 136.458941 \nL 156.177501 138.763995 \nL 158.05114 140.661941 \nL 160.014335 142.170102 \nL 162.141503 143.292464 \nL 163.286101 143.706701 \nL 164.493554 144.020241 \nL 165.769513 144.230139 \nL 167.118787 144.3328 \nL 168.545258 144.32404 \nL 170.051742 144.199191 \nL 171.639827 143.953226 \nL 175.059617 143.077069 \nL 178.783247 141.655773 \nL 182.751274 139.660413 \nL 184.79504 138.444912 \nL 186.854374 137.087644 \nL 188.906037 135.595358 \nL 190.922598 133.97898 \nL 192.872504 132.254234 \nL 194.720439 130.442168 \nL 196.427951 128.569433 \nL 197.954489 126.668255 \nL 199.258795 124.775981 \nL 200.300672 122.934084 \nL 201.043051 121.186668 \nL 201.454218 119.578416 \nL 201.510041 118.152159 \nL 201.195957 116.946233 \nL 200.508484 115.991896 \nL 199.456053 115.311165 \nL 198.059002 114.915258 \nL 196.348714 114.80402 \nL 194.365906 114.966288 \nL 192.15832 115.381224 \nL 189.778024 116.020399 \nL 187.278612 116.850334 \nL 182.129212 118.939119 \nL 177.081378 121.373569 \nL 172.414031 123.933132 \nL 168.303037 126.471541 \nL 164.833893 128.910149 \nL 162.024999 131.218054 \nL 159.851861 133.390953 \nL 158.267254 135.434836 \nL 157.215941 137.355874 \nL 156.644362 139.15538 \nL 156.506403 140.828012 \nL 156.766367 142.361672 \nL 157.400093 143.737971 \nL 158.394845 144.932643 \nL 159.748398 145.91564 \nL 161.467459 146.650857 \nL 163.5654 147.095577 \nL 166.05905 147.19996 \nL 168.96415 146.906968 \nL 172.28887 146.153447 \nL 176.024761 144.873469 \nL 180.134605 143.005287 \nL 182.306566 141.835379 \nL 184.537197 140.503718 \nL 186.806681 139.010385 \nL 189.090387 137.359269 \nL 191.35854 135.558994 \nL 193.576079 133.623841 \nL 195.702825 131.574593 \nL 197.694024 129.43915 \nL 199.501346 127.252798 \nL 201.074429 125.057955 \nL 202.362933 122.903272 \nL 203.319117 120.84196 \nL 203.900732 118.929348 \nL 204.074038 117.219756 \nL 203.81665 115.76293 \nL 203.119847 114.600421 \nL 201.989995 113.762347 \nL 200.448883 113.264999 \nL 198.532789 113.109717 \nL 196.290383 113.283158 \nL 193.779679 113.758996 \nL 191.064423 114.50076 \nL 188.210294 115.465343 \nL 185.281412 116.606753 \nL 179.431146 119.241524 \nL 173.90319 122.09225 \nL 168.955189 124.941852 \nL 164.720727 127.671543 \nL 161.23785 130.23656 \nL 158.482001 132.635473 \nL 156.394329 134.885065 \nL 154.902425 137.004362 \nL 153.933895 139.006634 \nL 153.424355 140.896707 \nL 153.321562 142.671039 \nL 153.587076 144.318837 \nL 154.196435 145.823221 \nL 155.138513 147.161933 \nL 156.414432 148.30742 \nL 158.03617 149.226333 \nL 160.024831 149.878509 \nL 162.408338 150.215672 \nL 165.218119 150.1801 \nL 168.484145 149.703863 \nL 172.227427 148.709432 \nL 174.279522 147.991814 \nL 176.448947 147.113179 \nL 178.730138 146.063495 \nL 181.114055 144.833787 \nL 183.587446 143.416869 \nL 186.132069 141.808249 \nL 188.723934 140.007198 \nL 191.332621 138.017995 \nL 193.920762 135.851275 \nL 196.44383 133.525389 \nL 198.850349 131.06763 \nL 201.082669 128.515146 \nL 203.078466 125.915297 \nL 204.773033 123.325171 \nL 206.102388 120.810058 \nL 207.007082 118.440719 \nL 207.43647 116.289444 \nL 207.353011 114.425179 \nL 206.736112 112.908111 \nL 205.584917 111.784484 \nL 203.919561 111.08237 \nL 201.780585 110.809171 \nL 199.226476 110.951255 \nL 196.329596 111.475901 \nL 193.171082 112.335227 \nL 189.835361 113.47134 \nL 186.404981 114.821969 \nL 179.556438 117.9262 \nL 173.115076 121.23355 \nL 167.389678 124.471304 \nL 162.524279 127.506758 \nL 158.541755 130.30702 \nL 155.390213 132.892766 \nL 152.98027 135.303219 \nL 151.210591 137.575831 \nL 149.98343 139.737511 \nL 149.212995 141.802909 \nL 148.829199 143.775976 \nL 148.778644 145.652519 \nL 149.024142 147.422542 \nL 149.543571 149.07186 \nL 150.328557 150.582873 \nL 151.383244 151.934593 \nL 152.723248 153.101944 \nL 154.374758 154.054501 \nL 156.373653 154.754695 \nL 158.764325 155.155565 \nL 161.597773 155.198218 \nL 164.928197 154.809299 \nL 166.796207 154.425631 \nL 168.807078 153.899132 \nL 170.965184 153.216064 \nL 173.273182 152.361903 \nL 175.731335 151.32163 \nL 178.33671 150.08019 \nL 181.082236 148.623147 \nL 183.955627 146.9376 \nL 186.938178 145.013379 \nL 190.00352 142.844567 \nL 193.116389 140.431356 \nL 196.231553 137.782179 \nL 199.293092 134.915995 \nL 202.234243 131.864564 \nL 204.978102 128.674355 \nL 207.439462 125.407671 \nL 209.527992 122.142514 \nL 211.152876 118.970646 \nL 212.228809 115.993502 \nL 212.682917 113.31586 \nL 212.461913 111.037596 \nL 211.538482 109.244436 \nL 209.915809 107.999031 \nL 207.629279 107.333986 \nL 204.744825 107.24821 \nL 201.353948 107.707538 \nL 197.566156 108.649463 \nL 193.499986 109.991181 \nL 189.27399 111.639294 \nL 184.998963 113.499462 \nL 176.673841 117.519914 \nL 169.093448 121.523599 \nL 162.55375 125.227777 \nL 157.136265 128.548958 \nL 152.786512 131.519473 \nL 149.380102 134.216618 \nL 146.767574 136.719642 \nL 144.80067 139.090702 \nL 143.345713 141.370638 \nL 142.289032 143.581876 \nL 141.537846 145.733519 \nL 141.018806 147.826359 \nL 140.556078 150.846906 \nL 140.358663 153.708698 \nL 140.374159 157.249389 \nL 140.62915 160.452848 \nL 141.109337 163.305629 \nL 141.641903 165.20905 \nL 142.363979 166.902448 \nL 142.978725 167.908459 \nL 143.72652 168.808947 \nL 144.636275 169.594569 \nL 145.743734 170.251994 \nL 147.092836 170.762482 \nL 148.737278 171.099912 \nL 150.742202 171.22812 \nL 153.185821 171.097252 \nL 156.160566 170.638923 \nL 159.772978 169.760007 \nL 164.140881 168.335179 \nL 169.385323 166.199181 \nL 172.370936 164.800496 \nL 175.613073 163.141546 \nL 179.117437 161.189489 \nL 182.883464 158.910091 \nL 186.901877 156.269251 \nL 191.151715 153.235346 \nL 195.596897 149.782612 \nL 200.182457 145.895742 \nL 204.83077 141.575779 \nL 209.438291 136.847138 \nL 213.873598 131.765272 \nL 217.97781 126.423914 \nL 221.568585 120.960227 \nL 224.448852 115.555612 \nL 226.420933 110.429706 \nL 227.305689 105.825602 \nL 226.964829 101.986017 \nL 225.322696 99.122664 \nL 222.382847 97.384374 \nL 218.234527 96.831504 \nL 213.046268 97.424168 \nL 207.046937 99.028463 \nL 200.498237 101.439541 \nL 193.664898 104.415327 \nL 186.788825 107.711949 \nL 173.6652 114.446488 \nL 152.627534 125.40494 \nL 136.559784 133.670358 \nL 132.446943 136.040992 \nL 129.199325 138.177455 \nL 126.56362 140.185536 \nL 123.309759 143.062461 \nL 118.497304 147.5265 \nL 116.466231 149.136779 \nL 114.254911 150.595179 \nL 111.804431 151.856325 \nL 109.069783 152.865211 \nL 106.021728 153.554889 \nL 104.376404 153.755296 \nL 102.651336 153.844354 \nL 100.849805 153.809607 \nL 98.977457 153.637796 \nL 97.042674 153.315042 \nL 95.05696 152.827133 \nL 93.035335 152.159975 \nL 90.996671 151.300183 \nL 88.963938 150.235852 \nL 86.964338 148.957501 \nL 85.029206 147.459188 \nL 83.193658 145.739765 \nL 81.495915 143.804166 \nL 79.976235 141.664655 \nL 78.675469 139.341873 \nL 77.633237 136.865507 \nL 76.885821 134.274422 \nL 76.463937 131.616078 \nL 76.39054 128.945137 \nL 76.678945 126.321277 \nL 77.331447 123.8063 \nL 78.338693 121.460781 \nL 79.679874 119.340615 \nL 81.323766 117.49379 \nL 83.230512 115.957803 \nL 85.353956 114.757957 \nL 87.644245 113.906722 \nL 90.050435 113.4041 \nL 92.522865 113.238886 \nL 95.015131 113.390604 \nL 97.485514 113.831762 \nL 99.897914 114.53022 \nL 102.22227 115.451418 \nL 104.434566 116.560311 \nL 106.51653 117.822866 \nL 108.455116 119.207224 \nL 110.241857 120.684401 \nL 111.872167 122.228698 \nL 113.344638 123.81782 \nL 114.660383 125.432802 \nL 115.822433 127.057799 \nL 116.835204 128.679798 \nL 118.434841 131.87491 \nL 119.506788 134.957914 \nL 120.098597 137.89301 \nL 120.252088 140.660293 \nL 120.000109 143.249091 \nL 119.365117 145.652869 \nL 118.358974 147.865238 \nL 116.983688 149.87665 \nL 115.232887 151.67135 \nL 114.212939 152.480067 \nL 113.094148 153.224325 \nL 111.87457 153.89902 \nL 110.55239 154.498044 \nL 109.126115 155.014184 \nL 107.594817 155.439015 \nL 105.958412 155.762812 \nL 104.21799 155.974464 \nL 102.376202 156.061464 \nL 100.437695 156.009924 \nL 98.409603 155.804674 \nL 96.302075 155.429488 \nL 94.128832 154.867417 \nL 91.90771 154.101341 \nL 89.661172 153.114706 \nL 87.416699 151.8925 \nL 85.207006 150.422495 \nL 83.069994 148.696729 \nL 81.048336 146.71315 \nL 79.188611 144.477398 \nL 77.539918 142.004482 \nL 76.151942 139.320189 \nL 75.072506 136.461977 \nL 74.344762 133.479063 \nL 74.004202 130.431477 \nL 74.075836 127.388009 \nL 74.571826 124.422999 \nL 75.489961 121.612243 \nL 76.8132 119.02839 \nL 78.510392 116.736324 \nL 80.538143 114.789156 \nL 82.843597 113.225257 \nL 85.36778 112.066695 \nL 88.049117 111.319141 \nL 90.826732 110.97315 \nL 93.643246 111.006485 \nL 96.446889 111.38708 \nL 99.192862 112.076238 \nL 101.844002 113.031696 \nL 104.370849 114.210298 \nL 106.751265 115.570109 \nL 108.969753 117.07198 \nL 111.016591 118.680541 \nL 112.886914 120.364702 \nL 114.579801 122.097812 \nL 116.097414 123.857514 \nL 117.444228 125.625447 \nL 118.626364 127.386828 \nL 119.651022 129.129987 \nL 121.259376 132.527857 \nL 122.332796 135.771374 \nL 122.930369 138.836749 \nL 123.101718 141.714895 \nL 122.884488 144.404738 \nL 122.303479 146.908432 \nL 121.370794 149.227765 \nL 120.086637 151.361296 \nL 118.440584 153.30171 \nL 116.413355 155.033018 \nL 115.24895 155.812116 \nL 113.979329 156.527359 \nL 112.600908 157.172788 \nL 111.110261 157.741173 \nL 109.504364 158.223885 \nL 107.78087 158.610738 \nL 105.938464 158.889838 \nL 103.97727 159.047476 \nL 101.89935 159.068058 \nL 99.709269 158.934091 \nL 97.414751 158.626282 \nL 95.027396 158.123791 \nL 92.563441 157.404677 \nL 90.04453 156.446594 \nL 87.498415 155.227799 \nL 84.95953 153.728526 \nL 82.469286 151.932733 \nL 80.075983 149.830208 \nL 77.834169 147.418976 \nL 75.803314 144.707793 \nL 74.045707 141.718549 \nL 72.623527 138.488116 \nL 71.595235 135.069338 \nL 71.011475 131.530684 \nL 70.910915 127.95429 \nL 71.316537 124.432232 \nL 72.232897 121.061262 \nL 73.644843 117.936441 \nL 75.517965 115.144464 \nL 77.800788 112.757571 \nL 80.428432 110.828842 \nL 83.327231 109.389522 \nL 86.419697 108.448584 \nL 89.6292 107.994356 \nL 92.883907 107.997827 \nL 96.119691 108.416888 \nL 99.281927 109.200936 \nL 102.326244 110.295178 \nL 105.218467 111.644366 \nL 107.933904 113.19562 \nL 110.4563 114.900426 \nL 112.776567 116.715799 \nL 114.891497 118.604764 \nL 116.802518 120.536364 \nL 118.514579 122.485306 \nL 120.035168 124.431415 \nL 121.373498 126.358992 \nL 122.539828 128.256134 \nL 124.399604 131.926729 \nL 125.699588 135.40119 \nL 126.517432 138.664102 \nL 126.918313 141.715729 \nL 126.952765 144.564687 \nL 126.656204 147.223106 \nL 126.049392 149.703397 \nL 125.13932 152.016011 \nL 123.920222 154.167609 \nL 122.374628 156.159283 \nL 120.474485 157.984447 \nL 118.182568 159.626125 \nL 115.454595 161.053244 \nL 113.912136 161.671599 \nL 112.242718 162.215723 \nL 110.440763 162.675357 \nL 108.501397 163.038196 \nL 106.42087 163.289664 \nL 104.19708 163.412668 \nL 101.830209 163.387419 \nL 99.323492 163.191318 \nL 96.684123 162.798969 \nL 93.924285 162.182395 \nL 91.062285 161.311522 \nL 88.123737 160.155043 \nL 85.142714 158.681755 \nL 82.162724 156.862485 \nL 79.237317 154.672646 \nL 76.430134 152.09544 \nL 73.814053 149.125595 \nL 71.469266 145.773366 \nL 69.480036 142.068343 \nL 67.930112 138.062451 \nL 66.896971 133.831373 \nL 66.445367 129.473662 \nL 66.620958 125.106988 \nL 67.444904 120.86146 \nL 68.910459 116.870464 \nL 70.982246 113.260152 \nL 73.598511 110.139116 \nL 76.676082 107.589812 \nL 80.117275 105.663147 \nL 83.817627 104.37682 \nL 87.673352 103.717337 \nL 91.587588 103.644991 \nL 95.474921 104.100626 \nL 99.264022 105.012949 \nL 102.898569 106.305381 \nL 106.336841 107.901791 \nL 109.550387 109.730668 \nL 112.522206 111.727874 \nL 115.244735 113.838037 \nL 117.717866 116.014905 \nL 119.947155 118.221012 \nL 121.942261 120.42687 \nL 123.715647 122.609938 \nL 125.281525 124.753538 \nL 126.655029 126.845798 \nL 128.886391 130.847272 \nL 130.52869 134.582529 \nL 131.688814 138.048827 \nL 132.457074 141.259177 \nL 132.90597 144.234115 \nL 133.090798 146.99687 \nL 133.051121 149.570662 \nL 132.812525 151.97727 \nL 132.388272 154.236291 \nL 131.780667 156.364835 \nL 130.98202 158.377309 \nL 129.975204 160.285197 \nL 128.7338 162.096624 \nL 127.221914 163.81555 \nL 125.393766 165.440369 \nL 123.193245 166.961627 \nL 120.553758 168.358462 \nL 117.398958 169.593251 \nL 113.645316 170.603831 \nL 111.517243 170.996316 \nL 109.208175 171.292693 \nL 106.709323 171.472944 \nL 104.013834 171.512942 \nL 101.117767 171.383942 \nL 98.02134 171.052138 \nL 94.730461 170.478396 \nL 91.258571 169.618285 \nL 87.62877 168.422576 \nL 83.876168 166.83846 \nL 80.050271 164.811738 \nL 76.217147 162.290245 \nL 72.460961 159.228767 \nL 68.884289 155.595508 \nL 65.606584 151.379882 \nL 62.760083 146.601001 \nL 60.482726 141.315678 \nL 58.908 135.624155 \nL 58.152407 129.671584 \nL 58.302064 123.643384 \nL 59.400694 117.753547 \nL 61.441533 112.226568 \nL 64.365247 107.275388 \nL 68.064752 103.079386 \nL 72.396195 99.766655 \nL 77.193977 97.403957 \nL 82.286798 95.995789 \nL 87.511994 95.49168 \nL 92.726185 95.799232 \nL 97.811516 96.799586 \nL 102.677778 98.362422 \nL 107.261341 100.358344 \nL 111.522096 102.66781 \nL 115.439413 105.186412 \nL 119.007958 107.827171 \nL 122.233801 110.520587 \nL 125.131106 113.213242 \nL 127.71944 115.865662 \nL 130.021684 118.449912 \nL 132.062455 120.947261 \nL 135.460136 125.640035 \nL 138.107969 129.906401 \nL 140.183692 133.754637 \nL 142.55441 138.808103 \nL 146.563821 147.832147 \nL 147.681328 149.815276 \nL 148.898954 151.559746 \nL 150.269618 153.067172 \nL 151.845531 154.330587 \nL 153.680458 155.333459 \nL 155.831355 156.048267 \nL 158.35915 156.43461 \nL 161.328269 156.436904 \nL 164.804215 155.981959 \nL 166.751745 155.554861 \nL 168.848071 154.977181 \nL 171.098473 154.234343 \nL 173.506336 153.31082 \nL 176.07242 152.190455 \nL 178.793977 150.856958 \nL 181.663711 149.294654 \nL 184.668567 147.489493 \nL 187.788397 145.430413 \nL 190.994558 143.111069 \nL 194.248516 140.53193 \nL 197.500662 137.702719 \nL 200.689511 134.64503 \nL 203.741582 131.39489 \nL 206.572282 128.004886 \nL 209.088104 124.545338 \nL 211.190424 121.103941 \nL 212.780948 117.78324 \nL 213.768689 114.695603 \nL 214.077903 111.95555 \nL 213.656121 109.670046 \nL 212.481028 107.92786 \nL 210.564946 106.789727 \nL 207.955853 106.281144 \nL 204.734449 106.389473 \nL 201.007573 107.066014 \nL 196.898952 108.232776 \nL 192.538817 109.792547 \nL 188.054053 111.640236 \nL 183.56011 113.67346 \nL 174.918984 117.947325 \nL 167.165676 122.088732 \nL 160.557413 125.846727 \nL 155.135252 129.173963 \nL 150.811512 132.130652 \nL 147.437822 134.811076 \nL 144.848628 137.30281 \nL 142.885287 139.670958 \nL 141.40741 141.956638 \nL 140.296699 144.181582 \nL 139.456674 146.354237 \nL 138.540397 149.515229 \nL 137.676419 153.526926 \nL 136.369708 159.917793 \nL 135.681261 162.409239 \nL 134.814469 164.765017 \nL 133.68951 167.000067 \nL 132.748072 168.431094 \nL 131.611771 169.820058 \nL 130.236609 171.169904 \nL 128.569397 172.480846 \nL 126.545957 173.748267 \nL 124.089405 174.959414 \nL 121.108858 176.088252 \nL 117.499343 177.087568 \nL 113.144323 177.877156 \nL 110.649399 178.155139 \nL 107.923417 178.326744 \nL 104.953538 178.364066 \nL 101.729654 178.232884 \nL 98.245949 177.891742 \nL 94.502922 177.291157 \nL 90.509941 176.373104 \nL 86.288363 175.071065 \nL 81.875164 173.311011 \nL 77.326922 171.013761 \nL 72.723786 168.099312 \nL 68.172786 164.493682 \nL 63.809559 160.138628 \nL 59.797249 155.00418 \nL 56.321191 149.103106 \nL 53.578263 142.505312 \nL 51.760563 135.348875 \nL 51.034403 127.843687 \nL 51.517617 120.263763 \nL 53.259619 112.926328 \nL 56.229326 106.159135 \nL 60.314795 100.26165 \nL 65.335551 95.468429 \nL 71.065014 91.923219 \nL 77.257774 89.669212 \nL 83.675639 88.656017 \nL 90.107756 88.759524 \nL 96.382598 89.808267 \nL 102.372029 91.609911 \nL 107.989305 93.973316 \nL 113.183411 96.724008 \nL 117.931877 99.712883 \nL 122.233615 102.819404 \nL 126.102606 105.950848 \nL 129.562797 109.039243 \nL 132.644202 112.037267 \nL 135.380054 114.91399 \nL 139.952743 120.238767 \nL 143.549595 124.959559 \nL 146.415382 129.095605 \nL 153.452271 139.673888 \nL 155.195452 141.761809 \nL 157.011222 143.482643 \nL 158.977211 144.842535 \nL 160.037719 145.385572 \nL 161.160013 145.834912 \nL 162.350992 146.187759 \nL 163.617 146.440538 \nL 164.963783 146.588913 \nL 166.396397 146.627828 \nL 167.919096 146.551567 \nL 169.535146 146.353822 \nL 171.24661 146.027832 \nL 173.054067 145.566536 \nL 174.956275 144.962815 \nL 176.949772 144.209799 \nL 179.028432 143.301259 \nL 181.18297 142.232109 \nL 183.400422 140.999028 \nL 185.663623 139.601167 \nL 187.950725 138.041001 \nL 190.234813 136.325227 \nL 192.48368 134.4657 \nL 194.659857 132.480331 \nL 196.720971 130.393828 \nL 198.620531 128.238144 \nL 200.309211 126.052493 \nL 201.736674 123.882772 \nL 202.853907 121.780268 \nL 203.615973 119.799569 \nL 203.985002 117.995775 \nL 203.933141 116.421101 \nL 203.445144 115.12126 \nL 202.520243 114.13201 \nL 201.173014 113.476324 \nL 199.433032 113.16264 \nL 197.343332 113.184475 \nL 194.957775 113.521453 \nL 192.337663 114.141657 \nL 189.548003 115.004858 \nL 186.653836 116.066182 \nL 180.793686 118.601713 \nL 175.173895 121.419374 \nL 170.083138 124.278537 \nL 165.682085 127.039006 \nL 162.028569 129.64122 \nL 159.110398 132.075838 \nL 156.875083 134.356849 \nL 155.252347 136.503493 \nL 154.16923 138.530622 \nL 153.559242 140.445 \nL 153.367274 142.244884 \nL 153.551741 143.921005 \nL 154.085048 145.457762 \nL 154.953106 146.834043 \nL 156.154324 148.023473 \nL 157.698287 148.994023 \nL 159.604102 149.70712 \nL 161.898241 150.11637 \nL 164.611482 150.16625 \nL 167.774351 149.791146 \nL 171.410264 148.915628 \nL 173.408551 148.264549 \nL 175.525294 147.457177 \nL 177.756161 146.483253 \nL 180.093651 145.333333 \nL 182.52638 143.999437 \nL 185.038324 142.475868 \nL 187.608039 140.760213 \nL 190.207954 138.854509 \nL 192.803772 136.766555 \nL 195.354121 134.511264 \nL 197.810563 132.111965 \nL 200.118119 129.601467 \nL 202.216451 127.02266 \nL 204.041788 124.42843 \nL 205.529693 121.880598 \nL 206.618569 119.447711 \nL 207.253755 117.201636 \nL 207.391842 115.213048 \nL 207.00476 113.546218 \nL 206.083044 112.253671 \nL 204.6378 111.371492 \nL 202.700912 110.916018 \nL 200.323378 110.88255 \nL 197.571893 111.246338 \nL 194.524147 111.965666 \nL 191.263456 112.98655 \nL 187.873399 114.248253 \nL 184.433143 115.688729 \nL 177.676019 118.878171 \nL 171.430044 122.178807 \nL 165.953212 125.360956 \nL 161.350348 128.325083 \nL 157.619114 131.057511 \nL 154.694297 133.586607 \nL 152.481601 135.952149 \nL 150.880026 138.188778 \nL 149.795058 140.319681 \nL 149.14551 142.356079 \nL 148.866329 144.299229 \nL 148.909087 146.142967 \nL 149.241248 147.875862 \nL 149.844964 149.482564 \nL 150.71576 150.944347 \nL 151.861363 152.238908 \nL 153.300695 153.339493 \nL 155.062991 154.213443 \nL 157.186824 154.820281 \nL 159.718734 155.109345 \nL 162.710879 155.017226 \nL 166.216907 154.4654 \nL 168.178134 153.988056 \nL 170.284834 153.358909 \nL 172.54021 152.563737 \nL 174.945298 151.587729 \nL 177.498223 150.415882 \nL 180.193296 149.033593 \nL 183.019984 147.427479 \nL 185.961759 145.58647 \nL 188.994863 143.503232 \nL 192.087074 141.175897 \nL 195.196582 138.61009 \nL 198.271135 135.821179 \nL 201.247699 132.836556 \nL 204.052854 129.697662 \nL 206.604241 126.461407 \nL 208.813276 123.20048 \nL 210.589297 120.002032 \nL 211.845103 116.964333 \nL 212.503589 114.191181 \nL 212.504861 111.784285 \nL 211.8129 109.834284 \nL 210.420773 108.411674 \nL 208.353289 107.559084 \nL 205.666473 107.286493 \nL 202.443651 107.570416 \nL 198.788683 108.357334 \nL 194.817379 109.570725 \nL 190.648451 111.12032 \nL 186.395279 112.911825 \nL 178.026698 116.87312 \nL 170.323637 120.890791 \nL 163.623457 124.644003 \nL 158.038177 128.021578 \nL 153.531831 131.041229 \nL 149.989204 133.775422 \nL 147.26391 136.304044 \nL 145.207275 138.692057 \nL 143.683491 140.983392 \nL 142.576096 143.202972 \nL 141.789488 145.361623 \nL 141.247785 147.461122 \nL 140.770521 150.491843 \nL 140.577619 153.363893 \nL 140.585593 156.059609 \nL 140.837106 159.357375 \nL 141.19187 161.597434 \nL 141.702671 163.630383 \nL 142.402822 165.448277 \nL 143.000416 166.534594 \nL 143.727306 167.513623 \nL 144.61076 168.376613 \nL 145.684623 169.11111 \nL 146.990566 169.699617 \nL 148.579552 170.117745 \nL 150.51343 170.331739 \nL 152.86649 170.295096 \nL 155.726637 169.944087 \nL 159.195468 169.191982 \nL 163.385988 167.922087 \nL 168.415711 165.980313 \nL 171.279743 164.697619 \nL 174.391456 163.169636 \nL 177.757776 161.365255 \nL 181.38022 159.251733 \nL 185.252701 156.79594 \nL 189.358856 153.966328 \nL 193.668898 150.735824 \nL 198.136107 147.085794 \nL 202.693193 143.011253 \nL 207.248957 138.527203 \nL 211.685904 133.675769 \nL 215.859734 128.533378 \nL 219.601793 123.216551 \nL 222.725639 117.884435 \nL 225.038556 112.735776 \nL 226.3581 107.998182 \nL 226.532442 103.908746 \nL 225.461816 100.68711 \nL 223.116798 98.504959 \nL 219.548893 97.458456 \nL 214.889675 97.550952 \nL 209.337588 98.691466 \nL 203.134726 100.710102 \nL 196.5387 103.386493 \nL 189.795776 106.48358 \nL 183.12021 109.778616 \nL 164.965539 119.227859 \nL 136.097396 134.339368 \nL 132.292966 136.669377 \nL 129.273663 138.804228 \nL 126.802258 140.831787 \nL 123.70434 143.753577 \nL 119.952894 147.430399 \nL 117.995228 149.131417 \nL 115.873085 150.698813 \nL 113.521926 152.091686 \nL 110.889627 153.260098 \nL 107.937425 154.142554 \nL 106.33371 154.45347 \nL 104.643456 154.663183 \nL 102.867646 154.759614 \nL 101.009321 154.729615 \nL 99.07395 154.559078 \nL 97.069859 154.233094 \nL 95.008668 153.736274 \nL 92.905728 153.053173 \nL 90.780534 152.16894 \nL 88.657029 151.070118 \nL 86.563793 149.745676 \nL 84.533982 148.18824 \nL 82.605008 146.395478 \nL 80.817838 144.37155 \nL 79.215853 142.128549 \nL 77.843295 139.687726 \nL 76.743251 137.080301 \nL 75.955328 134.347691 \nL 75.513132 131.540916 \nL 75.441812 128.719088 \nL 75.755923 125.946974 \nL 76.457879 123.291756 \nL 77.537247 120.819249 \nL 78.970988 118.589989 \nL 80.724668 116.655621 \nL 82.754502 115.056009 \nL 85.010025 113.817416 \nL 87.437025 112.951861 \nL 89.980451 112.457648 \nL 92.587038 112.320923 \nL 95.207418 112.517928 \nL 97.797643 113.017582 \nL 100.320101 113.784169 \nL 102.743879 114.779773 \nL 105.044679 115.966389 \nL 107.204408 117.307518 \nL 109.210545 118.769331 \nL 111.055393 120.321382 \nL 112.73529 121.936947 \nL 114.249839 123.593089 \nL 115.601189 125.270514 \nL 116.793389 126.953297 \nL 117.83183 128.628526 \nL 118.722769 130.285926 \nL 120.089196 133.516985 \nL 120.946804 136.602818 \nL 121.345213 139.520023 \nL 121.325231 142.257542 \nL 120.916732 144.810744 \nL 120.137997 147.176981 \nL 118.996042 149.352104 \nL 117.487659 151.327429 \nL 115.601116 153.086849 \nL 114.510627 153.877762 \nL 113.318643 154.60369 \nL 112.022593 155.259083 \nL 110.620076 155.837277 \nL 109.109064 156.330371 \nL 107.48818 156.729101 \nL 105.756997 157.022745 \nL 103.916418 157.199026 \nL 101.969102 157.244082 \nL 99.91996 157.142484 \nL 97.776707 156.877353 \nL 95.550475 156.430607 \nL 93.256433 155.783368 \nL 90.914428 154.916583 \nL 88.549532 153.811899 \nL 86.192495 152.452814 \nL 83.879964 150.826145 \nL 81.65436 148.923745 \nL 79.563344 146.744458 \nL 77.658713 144.296159 \nL 75.994688 141.597653 \nL 74.625562 138.680209 \nL 73.602769 135.588405 \nL 72.97158 132.379942 \nL 72.767696 129.124219 \nL 73.014115 125.899548 \nL 73.718714 122.789083 \nL 74.872896 119.875829 \nL 76.451573 117.237256 \nL 78.414543 114.940148 \nL 80.709114 113.036425 \nL 83.273648 111.560349 \nL 86.041536 110.527519 \nL 88.945184 109.935545 \nL 91.919525 109.766167 \nL 94.904835 109.988394 \nL 97.848675 110.562149 \nL 100.706966 111.441894 \nL 103.444322 112.579961 \nL 106.033775 113.929254 \nL 108.456101 115.445298 \nL 110.69888 117.087604 \nL 112.755455 118.820416 \nL 114.623871 120.613007 \nL 116.30588 122.439588 \nL 117.806031 124.278996 \nL 119.130895 126.114246 \nL 120.288389 127.931995 \nL 121.287227 129.721999 \nL 122.845224 133.190366 \nL 123.875874 136.481368 \nL 124.442932 139.579189 \nL 124.598654 142.481138 \nL 124.381891 145.191324 \nL 123.817651 147.716238 \nL 122.917505 150.061587 \nL 121.680462 152.229759 \nL 120.094152 154.217466 \nL 118.136335 156.01324 \nL 115.776949 157.594392 \nL 114.43585 158.29341 \nL 112.981138 158.923214 \nL 111.408474 159.475973 \nL 109.713938 159.942285 \nL 107.894342 160.310991 \nL 105.947607 160.569006 \nL 103.873228 160.701161 \nL 101.67283 160.690104 \nL 99.350818 160.516263 \nL 96.915128 160.157932 \nL 94.378065 159.591535 \nL 91.757189 158.792108 \nL 89.076239 157.734107 \nL 86.365973 156.392562 \nL 83.664844 154.744687 \nL 81.019376 152.77196 \nL 78.484056 150.462641 \nL 76.12055 147.814657 \nL 73.996089 144.838595 \nL 72.180877 141.560549 \nL 70.744544 138.024281 \nL 69.75172 134.292233 \nL 69.257134 130.44484 \nL 69.300728 126.577816 \nL 69.903415 122.797283 \nL 71.064228 119.213088 \nL 72.759333 115.930976 \nL 74.943214 113.044668 \nL 77.551924 110.628987 \nL 80.507939 108.735005 \nL 83.725911 107.387811 \nL 87.118512 106.587028 \nL 90.601683 106.30971 \nL 94.098754 106.514919 \nL 97.543238 107.149139 \nL 100.880268 108.151682 \nL 104.066903 109.459523 \nL 107.071573 111.011197 \nL 109.872928 112.749605 \nL 112.458413 114.623727 \nL 114.822716 116.5895 \nL 116.96628 118.609963 \nL 118.893936 120.65494 \nL 120.613711 122.700418 \nL 122.135828 124.72779 \nL 123.471881 126.723038 \nL 124.634177 128.675954 \nL 126.487326 132.428791 \nL 127.791285 135.955871 \nL 128.631389 139.2512 \nL 129.078262 142.322539 \nL 129.186463 145.184504 \nL 128.994639 147.85425 \nL 128.526425 150.348795 \nL 127.791576 152.683287 \nL 126.787075 154.869718 \nL 125.498051 156.915779 \nL 123.898531 158.823467 \nL 121.952113 160.587221 \nL 119.612837 162.191231 \nL 116.826666 163.605567 \nL 115.247551 164.227099 \nL 113.534313 164.780769 \nL 111.679581 165.256155 \nL 109.676518 165.640608 \nL 107.519251 165.918929 \nL 105.203402 166.073066 \nL 102.726767 166.081799 \nL 100.090154 165.920511 \nL 97.298399 165.561059 \nL 94.361559 164.97184 \nL 91.296265 164.118143 \nL 88.127205 162.962912 \nL 84.888649 161.468057 \nL 81.62583 159.59647 \nL 78.396049 157.314875 \nL 75.269121 154.597523 \nL 72.32689 151.430766 \nL 69.661402 147.818141 \nL 67.371424 143.78553 \nL 65.557169 139.385568 \nL 64.31331 134.700308 \nL 63.720874 129.84103 \nL 63.838899 124.944382 \nL 64.697158 120.164453 \nL 66.291303 115.661349 \nL 68.581529 111.587656 \nL 71.495212 108.074872 \nL 74.93324 105.222107 \nL 78.77893 103.088978 \nL 82.908015 101.693567 \nL 87.198167 101.015411 \nL 91.536751 101.00229 \nL 95.826202 101.579244 \nL 99.986873 102.658119 \nL 103.957675 104.146182 \nL 107.695113 105.953085 \nL 111.17126 107.995713 \nL 114.371261 110.201092 \nL 117.290727 112.507622 \nL 119.933304 114.865088 \nL 122.308523 117.233867 \nL 124.430014 119.58368 \nL 126.314051 121.892166 \nL 127.978419 124.143453 \nL 130.721833 128.435796 \nL 132.804844 132.418258 \nL 134.359973 136.086508 \nL 135.501669 139.456165 \nL 136.3247 142.551914 \nL 137.123178 146.742283 \nL 137.559667 150.468095 \nL 137.782752 154.846237 \nL 137.737785 158.683103 \nL 137.490633 162.089136 \nL 137.042711 165.149035 \nL 136.54752 167.258835 \nL 135.874172 169.23917 \nL 134.965244 171.114854 \nL 134.189521 172.318965 \nL 133.242235 173.493745 \nL 132.08446 174.644949 \nL 130.668147 175.776707 \nL 128.93424 176.890148 \nL 126.810577 177.981071 \nL 124.209782 179.036155 \nL 121.027584 180.026865 \nL 117.142511 180.899882 \nL 112.418731 181.562464 \nL 109.698043 181.769948 \nL 106.715424 181.860912 \nL 103.456013 181.801746 \nL 99.908414 181.550927 \nL 96.066723 181.057827 \nL 91.933177 180.261707 \nL 87.521527 179.091128 \nL 82.861134 177.464194 \nL 78.001741 175.290118 \nL 73.018595 172.472884 \nL 68.017355 168.917721 \nL 63.137773 164.541164 \nL 58.554673 159.285048 \nL 54.474454 153.133971 \nL 51.125227 146.134394 \nL 48.73944 138.411721 \nL 47.529412 130.180156 \nL 47.658552 121.7395 \nL 49.213762 113.45475 \nL 52.185994 105.718582 \nL 56.465128 98.902535 \nL 61.8519 93.307783 \nL 68.084524 89.12769 \nL 74.873247 86.430985 \nL 81.934395 85.167755 \nL 89.017044 85.1937 \nL 95.918813 86.303897 \nL 102.490984 88.267205 \nL 108.63556 90.854789 \nL 114.297571 93.85972 \nL 119.455656 97.107623 \nL 124.112901 100.460024 \nL 128.289017 103.812758 \nL 132.014213 107.091575 \nL 135.32467 110.24668 \nL 138.259358 113.24722 \nL 143.159105 118.727305 \nL 147.016291 123.498371 \nL 151.427815 129.422831 \nL 155.85393 135.363513 \nL 157.806824 137.620466 \nL 159.747333 139.452115 \nL 161.767278 140.87824 \nL 163.940163 141.905016 \nL 165.102553 142.267134 \nL 166.323613 142.526162 \nL 167.608173 142.679622 \nL 168.960051 142.724496 \nL 170.381947 142.657317 \nL 173.44017 142.171547 \nL 176.77612 141.191487 \nL 180.352867 139.69149 \nL 184.094405 137.661796 \nL 187.876668 135.122842 \nL 189.729528 133.681177 \nL 191.521427 132.142113 \nL 193.221833 130.524071 \nL 194.797672 128.850058 \nL 196.214164 127.14762 \nL 197.435962 125.448479 \nL 198.428553 123.787752 \nL 199.159914 122.202793 \nL 199.602284 120.73161 \nL 199.733961 119.410976 \nL 199.54091 118.274377 \nL 199.018054 117.349952 \nL 198.170067 116.658716 \nL 197.011535 116.213198 \nL 195.566449 116.016783 \nL 193.867056 116.063744 \nL 191.95216 116.340038 \nL 189.865067 116.824721 \nL 187.651373 117.491791 \nL 183.025218 119.256196 \nL 178.408733 121.399948 \nL 174.068415 123.721565 \nL 170.186053 126.075565 \nL 166.863636 128.373353 \nL 164.139873 130.570484 \nL 162.009953 132.65005 \nL 160.443455 134.608312 \nL 159.398313 136.444749 \nL 158.830576 138.156423 \nL 158.700617 139.735358 \nL 158.976616 141.167717 \nL 159.636084 142.433775 \nL 160.666039 143.5081 \nL 162.062152 144.359622 \nL 163.827057 144.951515 \nL 165.967737 145.241084 \nL 168.491824 145.179895 \nL 171.402402 144.714722 \nL 174.690934 143.789981 \nL 178.327893 142.352775 \nL 182.251104 140.361655 \nL 186.352547 137.800258 \nL 188.420668 136.311946 \nL 190.465899 134.69591 \nL 192.45712 132.965964 \nL 194.35923 131.14128 \nL 196.133697 129.246788 \nL 197.73946 127.31325 \nL 199.134212 125.376947 \nL 200.276117 123.478862 \nL 201.125819 121.663288 \nL 201.648719 119.975897 \nL 201.817289 118.461336 \nL 201.613222 117.160518 \nL 201.029185 116.107905 \nL 200.069912 115.329083 \nL 198.752487 114.838911 \nL 197.105708 114.640627 \nL 195.168579 114.725892 \nL 192.988085 115.075927 \nL 190.616469 115.66343 \nL 188.108359 116.455154 \nL 185.517984 117.414636 \nL 180.29141 119.69056 \nL 175.284615 122.225342 \nL 170.742857 124.820567 \nL 166.808265 127.354688 \nL 163.538573 129.769126 \nL 160.932404 132.045983 \nL 158.952997 134.187578 \nL 157.546827 136.202058 \nL 156.656602 138.095169 \nL 156.229476 139.866639 \nL 156.221701 141.509209 \nL 156.600822 143.00891 \nL 157.346275 144.345631 \nL 158.448949 145.493466 \nL 159.910051 146.420687 \nL 161.739349 147.089331 \nL 163.952696 147.454548 \nL 166.568558 147.464074 \nL 169.603032 147.05825 \nL 173.062741 146.171506 \nL 176.934928 144.73634 \nL 181.174243 142.691523 \nL 183.404528 141.426404 \nL 185.686476 139.996217 \nL 187.997777 138.402557 \nL 190.310987 136.651353 \nL 192.59326 134.753829 \nL 194.806325 132.727461 \nL 196.906814 130.596749 \nL 198.847022 128.39374 \nL 200.576191 126.158075 \nL 202.042358 123.936451 \nL 203.194736 121.781315 \nL 203.986566 119.74876 \nL 204.378227 117.895626 \nL 204.340321 116.275987 \nL 203.856405 114.937354 \nL 202.925003 113.91703 \nL 201.560538 113.239112 \nL 199.793047 112.912601 \nL 197.666581 112.930953 \nL 195.23648 113.273137 \nL 192.565852 113.906066 \nL 189.721661 114.787986 \nL 186.770901 115.872339 \nL 180.798286 118.46022 \nL 175.075626 121.329802 \nL 169.897411 124.234036 \nL 165.425694 127.030782 \nL 161.716775 129.661455 \nL 158.755475 132.118981 \nL 156.485894 134.419781 \nL 154.834501 136.585145 \nL 153.725495 138.631485 \nL 153.090025 140.56668 \nL 152.871069 142.389834 \nL 153.025513 144.092403 \nL 153.524558 145.6595 \nL 154.35319 147.070837 \nL 155.509165 148.301003 \nL 157.001731 149.319115 \nL 158.850082 150.087927 \nL 161.081389 150.562492 \nL 163.728046 150.6887 \nL 166.823556 150.402028 \nL 170.396247 149.627308 \nL 172.366719 149.030914 \nL 174.459776 148.28059 \nL 176.672565 147.365435 \nL 178.999318 146.275076 \nL 181.430626 145.000255 \nL 183.952673 143.533602 \nL 186.546411 141.870588 \nL 189.186776 140.010662 \nL 191.841971 137.958562 \nL 194.472942 135.725744 \nL 197.033174 133.331799 \nL 199.468946 130.805749 \nL 201.720199 128.186954 \nL 203.722171 125.525445 \nL 205.407875 122.881312 \nL 206.711445 120.322986 \nL 207.572195 117.924233 \nL 207.939129 115.759878 \nL 207.775441 113.900553 \nL 207.062436 112.406986 \nL 205.802276 111.32462 \nL 204.019049 110.679368 \nL 201.757848 110.475266 \nL 199.081887 110.694506 \nL 196.068011 111.29985 \nL 192.801207 112.23905 \nL 189.368836 113.450453 \nL 185.85535 114.868959 \nL 178.883764 118.08059 \nL 172.373142 121.456653 \nL 166.620994 124.731819 \nL 161.757643 127.78435 \nL 157.7935 130.591213 \nL 154.666965 133.17999 \nL 152.281803 135.5939 \nL 150.532175 137.872292 \nL 149.317538 140.042755 \nL 148.550438 142.120096 \nL 148.159799 144.108313 \nL 148.091586 146.003409 \nL 148.308097 147.79584 \nL 148.786678 149.472188 \nL 149.518321 151.015995 \nL 150.506415 152.407784 \nL 151.765725 153.624451 \nL 153.321598 154.638015 \nL 155.209259 155.413907 \nL 157.472962 155.908732 \nL 160.164593 156.067663 \nL 163.341081 155.82164 \nL 167.059657 155.084899 \nL 169.138254 154.500813 \nL 171.369553 153.753871 \nL 173.756215 152.828704 \nL 176.298286 151.709438 \nL 178.992328 150.380216 \nL 181.830383 148.825914 \nL 184.798803 147.033174 \nL 187.876947 144.991724 \nL 191.035841 142.696086 \nL 194.236859 140.147617 \nL 197.430616 137.356847 \nL 200.556273 134.345983 \nL 203.541497 131.151318 \nL 206.303438 127.825187 \nL 208.750946 124.436958 \nL 210.788336 121.072535 \nL 212.320719 117.831783 \nL 213.260731 114.823541 \nL 213.536164 112.158189 \nL 213.097557 109.938336 \nL 211.924691 108.248699 \nL 210.030717 107.146848 \nL 207.462997 106.656514 \nL 204.300194 106.764941 \nL 200.645926 107.424984 \nL 196.619935 108.561607 \nL 192.348201 110.081424 \nL 187.953549 111.883453 \nL 183.547941 113.869182 \nL 175.068147 118.054533 \nL 167.447186 122.127289 \nL 160.940935 125.839515 \nL 155.595045 129.139758 \nL 151.328556 132.081929 \nL 147.999794 134.754634 \nL 145.449024 137.241338 \nL 143.522372 139.604565 \nL 142.083325 141.883996 \nL 141.0168 144.100619 \nL 140.229121 146.262498 \nL 139.412407 149.402212 \nL 138.874901 152.406189 \nL 138.181088 157.952169 \nL 137.429888 163.609698 \nL 136.827383 166.480653 \nL 136.215261 168.487074 \nL 135.404062 170.388145 \nL 134.319247 172.204134 \nL 133.395746 173.377667 \nL 132.268469 174.527982 \nL 130.89044 175.659211 \nL 129.204036 176.772821 \nL 127.138873 177.865414 \nL 124.609663 178.925156 \nL 121.514409 179.926054 \nL 117.733807 180.818935 \nL 113.133491 181.517599 \nL 110.481642 181.752154 \nL 107.572199 181.878311 \nL 104.389593 181.864424 \nL 100.921259 181.671255 \nL 97.159505 181.250771 \nL 93.103983 180.545065 \nL 88.76485 179.485615 \nL 84.166692 177.993238 \nL 79.353107 175.979238 \nL 74.391804 173.348407 \nL 69.379659 170.004633 \nL 64.446864 165.859939 \nL 59.758844 160.847394 \nL 55.514191 154.93778 \nL 51.936702 148.158546 \nL 49.260123 140.611959 \nL 47.705418 132.487573 \nL 47.45268 124.063181 \nL 48.612496 115.68936 \nL 51.20351 107.756277 \nL 55.142853 100.646976 \nL 60.253406 94.686899 \nL 66.286973 90.102036 \nL 72.95751 86.995811 \nL 79.976225 85.349045 \nL 87.080822 85.039976 \nL 94.054429 85.876458 \nL 100.733469 87.63101 \nL 107.006587 90.071482 \nL 112.807915 92.983244 \nL 118.107857 96.182184 \nL 122.903691 99.51984 \nL 127.211315 102.882913 \nL 131.058636 106.189431 \nL 134.480621 109.383451 \nL 137.515779 112.429462 \nL 142.583752 118.007671 \nL 146.568774 122.874568 \nL 151.108096 128.926234 \nL 155.613754 135.004454 \nL 157.577885 137.320032 \nL 159.515409 139.206225 \nL 161.520905 140.684759 \nL 163.670145 141.763647 \nL 164.817893 142.152229 \nL 166.02275 142.438254 \nL 167.289796 142.619413 \nL 168.62311 142.692833 \nL 170.02568 142.65518 \nL 173.044335 142.231688 \nL 176.342269 141.318234 \nL 179.886844 139.888206 \nL 183.607587 137.929301 \nL 187.387138 135.457356 \nL 189.247725 134.045708 \nL 191.054624 132.532955 \nL 192.778121 130.936344 \nL 194.385812 129.277669 \nL 195.843351 127.583278 \nL 197.115516 125.883804 \nL 198.167545 124.213495 \nL 198.966725 122.609158 \nL 199.484139 121.10868 \nL 199.696453 119.749218 \nL 199.587598 118.56518 \nL 199.150138 117.586166 \nL 198.386213 116.835084 \nL 197.307849 116.326691 \nL 195.936644 116.066738 \nL 194.30277 116.051815 \nL 192.443409 116.269965 \nL 190.400783 116.701933 \nL 188.21997 117.322944 \nL 183.625394 119.017413 \nL 179.000069 121.119956 \nL 174.620153 123.423663 \nL 170.678147 125.775693 \nL 167.285534 128.080717 \nL 164.488226 130.289441 \nL 162.286184 132.382139 \nL 160.65167 134.353857 \nL 159.543719 136.203938 \nL 158.918409 137.929846 \nL 158.735466 139.524252 \nL 158.962051 140.974027 \nL 159.574511 142.260159 \nL 160.558692 143.35791 \nL 161.909217 144.236901 \nL 163.627884 144.861046 \nL 165.721186 145.188406 \nL 168.196746 145.17129 \nL 171.058328 144.757063 \nL 174.299017 143.890399 \nL 177.892156 142.517926 \nL 181.779964 140.596508 \nL 185.860503 138.106209 \nL 187.925934 136.652194 \nL 189.975016 135.068323 \nL 191.977673 133.367229 \nL 193.89979 131.566761 \nL 195.703678 129.690432 \nL 197.348891 127.767573 \nL 198.793422 125.83312 \nL 199.995298 123.926931 \nL 200.914537 122.092522 \nL 201.515358 120.37528 \nL 201.768489 118.820155 \nL 201.653371 117.469024 \nL 201.160014 116.357961 \nL 200.290262 115.514712 \nL 199.058261 114.956738 \nL 197.490056 114.690042 \nL 195.622283 114.708992 \nL 193.500099 114.997226 \nL 191.174577 115.52937 \nL 188.699839 116.273493 \nL 186.130256 117.193812 \nL 180.910718 119.416445 \nL 175.873563 121.926633 \nL 171.276236 124.517437 \nL 167.27228 127.058758 \nL 163.928326 129.485565 \nL 161.249015 131.776074 \nL 159.201047 133.930848 \nL 157.732438 135.957674 \nL 156.786116 137.862696 \nL 156.308638 139.646324 \nL 156.255202 141.302045 \nL 156.592086 142.816588 \nL 157.297404 144.170486 \nL 158.360776 145.338447 \nL 159.78226 146.289387 \nL 161.570663 146.986035 \nL 163.741155 147.384339 \nL 166.311906 147.432893 \nL 169.299288 147.072906 \nL 172.711024 146.239481 \nL 176.536616 144.865293 \nL 180.734515 142.888301 \nL 182.947729 141.658958 \nL 185.21618 140.265132 \nL 187.518576 138.7077 \nL 189.828584 136.991663 \nL 192.114539 135.127113 \nL 194.33935 133.130178 \nL 196.460769 131.023847 \nL 198.43204 128.838539 \nL 200.203087 126.612263 \nL 201.722226 124.390203 \nL 202.938436 122.223582 \nL 203.804119 120.167728 \nL 204.278147 118.279343 \nL 204.328977 116.613109 \nL 203.937455 115.21794 \nL 203.098977 114.133304 \nL 201.824676 113.386065 \nL 200.14138 112.988349 \nL 198.090278 112.936787 \nL 195.724427 113.213287 \nL 193.105385 113.787166 \nL 190.299356 114.618358 \nL 187.373342 115.66123 \nL 181.413201 118.193913 \nL 175.663133 121.039961 \nL 170.431199 123.9423 \nL 165.89201 126.7488 \nL 162.11148 129.393537 \nL 159.080733 131.865198 \nL 156.74738 134.178438 \nL 155.039351 136.354337 \nL 153.880979 138.409821 \nL 153.202742 140.35355 \nL 152.946532 142.185374 \nL 153.067972 143.897375 \nL 153.536964 145.475172 \nL 154.337241 146.898897 \nL 155.465388 148.143534 \nL 156.929585 149.178646 \nL 158.748077 149.967509 \nL 160.947241 150.465836 \nL 163.55889 150.620307 \nL 166.616279 150.367346 \nL 170.148008 149.632768 \nL 172.097227 149.059138 \nL 174.168803 148.333481 \nL 176.360207 147.444921 \nL 178.666095 146.383049 \nL 181.077602 145.138482 \nL 183.581579 143.703609 \nL 186.159794 142.073498 \nL 188.788124 140.247023 \nL 191.435851 138.228133 \nL 194.065101 136.027251 \nL 196.630586 133.662706 \nL 199.0798 131.162034 \nL 201.353777 128.562947 \nL 203.388616 125.913743 \nL 205.117817 123.272867 \nL 206.475483 120.70735 \nL 207.400272 118.290013 \nL 207.839828 116.095399 \nL 207.755276 114.194659 \nL 207.125232 112.649937 \nL 205.948731 111.50893 \nL 204.246547 110.800443 \nL 202.060587 110.531777 \nL 199.451286 110.688384 \nL 196.493368 111.235945 \nL 193.270493 112.12447 \nL 189.869546 113.293772 \nL 186.375275 114.679331 \nL 179.409612 117.851173 \nL 172.871777 121.215182 \nL 167.072483 124.495189 \nL 162.153263 127.559997 \nL 158.132451 130.380381 \nL 154.95324 132.980854 \nL 152.521797 135.403731 \nL 150.733093 137.688595 \nL 149.486436 139.863735 \nL 148.693718 141.944662 \nL 148.282985 143.935958 \nL 148.19928 145.834004 \nL 148.404026 147.629467 \nL 148.873783 149.309011 \nL 149.598862 150.85617 \nL 150.582061 152.251417 \nL 151.837635 153.471571 \nL 153.390466 154.488594 \nL 155.275341 155.267883 \nL 157.536068 155.766054 \nL 160.224051 155.928363 \nL 163.395668 155.685939 \nL 167.107511 154.953356 \nL 169.18182 154.37172 \nL 171.408085 153.62759 \nL 173.788864 152.705709 \nL 176.324105 151.590338 \nL 179.010272 150.265763 \nL 181.83933 148.717035 \nL 184.797574 146.930972 \nL 187.864341 144.8975 \nL 191.010689 142.611324 \nL 194.198095 140.073953 \nL 197.377368 137.296039 \nL 200.487967 134.299814 \nL 203.457993 131.121485 \nL 206.205149 127.813143 \nL 208.638971 124.443746 \nL 210.664558 121.098574 \nL 212.187855 117.876682 \nL 213.122313 114.885948 \nL 213.396417 112.235728 \nL 212.961204 110.027659 \nL 211.79665 108.345686 \nL 209.915762 107.246891 \nL 207.365385 106.754934 \nL 204.223371 106.857408 \nL 200.592299 107.507905 \nL 196.590778 108.632376 \nL 192.343694 110.13854 \nL 187.972916 111.926496 \nL 183.589653 113.898638 \nL 175.148155 118.060731 \nL 167.556064 122.117171 \nL 161.070183 125.819601 \nL 155.738185 129.114757 \nL 151.481286 132.054628 \nL 148.159721 134.726311 \nL 145.615274 137.212298 \nL 143.695234 139.57457 \nL 142.263988 141.852533 \nL 141.207171 144.067061 \nL 140.431729 146.226159 \nL 139.639397 149.360317 \nL 139.135404 152.356841 \nL 138.624906 157.005481 \nL 137.845938 164.936567 \nL 137.392611 167.64093 \nL 136.742763 170.126728 \nL 136.062469 171.873337 \nL 135.147458 173.541324 \nL 133.910775 175.151856 \nL 132.850414 176.203774 \nL 131.549353 177.244212 \nL 129.951314 178.275986 \nL 127.987186 179.297831 \nL 125.572665 180.301187 \nL 122.606064 181.264963 \nL 118.967001 182.147158 \nL 114.517423 182.871771 \nL 111.942051 183.137234 \nL 109.10774 183.308992 \nL 105.996633 183.357736 \nL 102.593109 183.246728 \nL 98.885482 182.93046 \nL 94.868296 182.353348 \nL 90.545333 181.448644 \nL 85.93343 180.13785 \nL 81.067123 178.331136 \nL 76.004006 175.929394 \nL 70.830411 172.828732 \nL 65.666678 168.928328 \nL 60.670775 164.142466 \nL 56.038489 158.416991 \nL 51.998068 151.749393 \nL 48.797332 144.209932 \nL 46.682197 135.959161 \nL 45.867789 127.255517 \nL 46.506246 118.446478 \nL 48.658122 109.939746 \nL 52.275506 102.156416 \nL 57.202839 95.475041 \nL 63.19668 90.18011 \nL 69.959653 86.428139 \nL 77.179633 84.239013 \nL 84.564865 83.511812 \nL 91.868533 84.057496 \nL 98.900717 85.637872 \nL 105.529418 88.001582 \nL 111.67421 90.91135 \nL 117.296348 94.160878 \nL 122.388212 97.582278 \nL 126.96381 101.046659 \nL 131.051149 104.460438 \nL 134.686476 107.759566 \nL 137.910218 110.903322 \nL 143.28991 116.644466 \nL 147.514008 121.6262 \nL 152.309422 127.768619 \nL 157.026281 133.85338 \nL 159.05815 136.137378 \nL 161.044301 137.975079 \nL 163.08102 139.391976 \nL 165.243526 140.399639 \nL 166.390382 140.750206 \nL 167.588621 140.997338 \nL 168.842615 141.139373 \nL 170.155596 141.174186 \nL 172.965197 140.912064 \nL 176.016499 140.189848 \nL 179.281843 138.989588 \nL 182.700269 137.305182 \nL 186.170725 135.153756 \nL 189.547187 132.58901 \nL 192.639124 129.71413 \nL 194.008847 128.208318 \nL 195.221329 126.689721 \nL 196.246718 125.186869 \nL 197.056578 123.730575 \nL 197.625247 122.352845 \nL 197.931283 121.085532 \nL 197.958819 119.95878 \nL 197.698754 118.999411 \nL 197.149634 118.229398 \nL 196.318098 117.664571 \nL 195.218856 117.313733 \nL 193.87413 117.17828 \nL 192.312636 117.252384 \nL 190.568173 117.523707 \nL 188.677968 117.974544 \nL 184.615938 119.326051 \nL 180.42884 121.11534 \nL 176.377628 123.157808 \nL 172.658494 125.304709 \nL 169.398408 127.45297 \nL 166.663732 129.540585 \nL 164.474922 131.535111 \nL 162.822042 133.421356 \nL 161.678143 135.191505 \nL 161.009411 136.838584 \nL 160.782175 138.352772 \nL 160.967207 139.719728 \nL 161.541984 140.919985 \nL 162.491365 141.928864 \nL 163.807101 142.716523 \nL 165.486298 143.248061 \nL 167.528889 143.483727 \nL 169.933965 143.379569 \nL 172.69473 142.888922 \nL 175.791824 141.965447 \nL 179.18489 140.568489 \nL 182.802639 138.67167 \nL 186.532496 136.275157 \nL 190.212091 133.421188 \nL 191.96782 131.851438 \nL 193.626562 130.210397 \nL 195.1546 128.521727 \nL 196.51682 126.813583 \nL 197.677899 125.118167 \nL 198.603763 123.470844 \nL 199.263253 121.908891 \nL 199.629906 120.469836 \nL 199.683685 119.189537 \nL 199.412541 118.100111 \nL 198.813574 117.227946 \nL 197.893674 116.591994 \nL 196.669535 116.202591 \nL 195.166997 116.060938 \nL 193.419758 116.15932 \nL 191.4676 116.482042 \nL 189.354291 117.006956 \nL 187.125374 117.707351 \nL 182.499372 119.517199 \nL 177.916817 121.681067 \nL 173.633845 124.00398 \nL 169.822125 126.347633 \nL 166.57546 128.629251 \nL 163.926855 130.808134 \nL 161.868127 132.86923 \nL 160.367319 134.809277 \nL 159.382106 136.627466 \nL 158.869094 138.320189 \nL 158.789662 139.878679 \nL 159.113174 141.288318 \nL 159.818339 142.528644 \nL 160.893248 143.573511 \nL 162.334421 144.391141 \nL 164.145 144.944009 \nL 166.332015 145.188747 \nL 168.902499 145.076376 \nL 171.858088 144.553409 \nL 175.187664 143.5646 \nL 178.857717 142.058414 \nL 182.800479 139.996375 \nL 186.900755 137.367313 \nL 188.95797 135.848751 \nL 190.984007 134.206448 \nL 192.946773 132.455606 \nL 194.810337 130.616876 \nL 196.535589 128.716668 \nL 198.081225 126.787143 \nL 199.40516 124.865753 \nL 200.46629 122.99428 \nL 201.226601 121.217318 \nL 201.653434 119.5802 \nL 201.721761 118.126516 \nL 201.416243 116.895416 \nL 200.732786 115.918942 \nL 199.679443 115.21976 \nL 198.276426 114.809587 \nL 196.555253 114.688518 \nL 194.557039 114.845386 \nL 192.330127 115.259088 \nL 189.927326 115.900741 \nL 187.403063 116.736253 \nL 182.200277 118.84268 \nL 177.099029 121.298951 \nL 172.38249 123.880414 \nL 168.228743 126.438561 \nL 164.723851 128.894078 \nL 161.885673 131.216403 \nL 159.68859 133.402035 \nL 158.084053 135.457837 \nL 157.015519 137.39075 \nL 156.428265 139.202704 \nL 156.275195 140.888837 \nL 156.519838 142.437442 \nL 157.137451 143.830481 \nL 158.114924 145.044039 \nL 159.449866 146.048434 \nL 161.149075 146.807927 \nL 163.226324 147.280148 \nL 165.699267 147.415511 \nL 168.585016 147.157011 \nL 171.893843 146.441106 \nL 175.620314 145.200754 \nL 179.731256 143.371992 \nL 181.909261 142.220607 \nL 184.150536 140.905856 \nL 186.435998 139.427042 \nL 188.741748 137.787152 \nL 191.038673 135.993807 \nL 193.292279 134.060212 \nL 195.462763 132.006043 \nL 197.505483 129.858163 \nL 199.371878 127.650973 \nL 201.010929 125.426282 \nL 202.371179 123.23254 \nL 203.403251 121.123267 \nL 204.062785 119.154704 \nL 204.313546 117.382711 \nL 204.130387 115.859166 \nL 203.501765 114.628207 \nL 202.431389 113.722789 \nL 200.93877 113.162036 \nL 199.058501 112.949844 \nL 196.838278 113.074882 \nL 194.335921 113.512156 \nL 191.615714 114.225718 \nL 188.74451 115.172268 \nL 185.788057 116.304962 \nL 179.858939 118.944846 \nL 174.233589 121.820225 \nL 169.182963 124.70269 \nL 164.849758 127.465802 \nL 161.276988 130.061062 \nL 158.44187 132.486198 \nL 156.285228 134.758771 \nL 154.733152 136.899239 \nL 153.711195 138.922372 \nL 153.152762 140.834326 \nL 153.003459 142.632681 \nL 153.222863 144.307591 \nL 153.784746 145.843072 \nL 154.676455 147.217781 \nL 155.897852 148.405205 \nL 157.459977 149.373196 \nL 159.383425 150.083012 \nL 161.696222 150.48793 \nL 164.43082 150.531848 \nL 167.619566 150.148219 \nL 171.287817 149.260192 \nL 173.305321 148.600757 \nL 175.443631 147.783228 \nL 177.698621 146.796999 \nL 180.062964 145.63224 \nL 182.525377 144.28056 \nL 185.069849 142.735861 \nL 187.674826 140.995337 \nL 190.312473 139.060707 \nL 192.948025 136.939554 \nL 195.539417 134.646745 \nL 198.037258 132.205791 \nL 200.385343 129.649985 \nL 202.521843 127.023068 \nL 204.381285 124.379155 \nL 205.897382 121.781697 \nL 207.006678 119.301196 \nL 207.652791 117.011682 \nL 207.790915 114.986031 \nL 207.392075 113.290509 \nL 206.446553 111.979208 \nL 204.965926 111.089114 \nL 202.983273 110.636671 \nL 200.551413 110.616473 \nL 197.739325 111.002313 \nL 194.627217 111.75047 \nL 191.300899 112.804685 \nL 187.846238 114.101923 \nL 184.344292 115.578059 \nL 177.477797 118.832955 \nL 171.145218 122.185545 \nL 165.604336 125.404931 \nL 160.956251 128.394325 \nL 157.193619 131.144081 \nL 154.24629 133.686277 \nL 152.015715 136.063475 \nL 150.397466 138.31215 \nL 149.294351 140.456635 \nL 148.623089 142.508879 \nL 148.316949 144.470701 \nL 148.32608 146.336504 \nL 148.616666 148.095533 \nL 149.16962 149.733347 \nL 149.979223 151.232415 \nL 151.051927 152.571985 \nL 152.405384 153.727281 \nL 154.067656 154.668144 \nL 156.076443 155.357144 \nL 158.478041 155.747258 \nL 161.325562 155.779199 \nL 164.675669 155.378727 \nL 166.556512 154.988507 \nL 168.582741 154.454586 \nL 170.759171 153.762869 \nL 173.08891 152.898402 \nL 175.572688 151.845645 \nL 178.208033 150.588935 \nL 180.988301 149.113133 \nL 183.901557 147.404559 \nL 186.929337 145.452196 \nL 190.045327 143.249282 \nL 193.214066 140.795202 \nL 196.389785 138.097712 \nL 199.515596 135.175372 \nL 202.523271 132.059935 \nL 205.333886 128.798435 \nL 207.859633 125.454448 \nL 210.00708 122.108081 \nL 211.681954 118.854048 \nL 212.79538 115.797494 \nL 213.271156 113.047394 \nL 213.053286 110.707907 \nL 212.112779 108.868587 \nL 210.452477 107.594928 \nL 208.108897 106.920898 \nL 205.150525 106.845067 \nL 201.67256 107.331221 \nL 197.788903 108.313461 \nL 193.622654 109.704766 \nL 189.296647 111.407315 \nL 184.92527 113.322665 \nL 176.428389 117.443407 \nL 168.71182 121.522907 \nL 162.071199 125.276475 \nL 156.581616 128.626115 \nL 152.180288 131.611626 \nL 148.734959 134.316783 \nL 146.089572 136.825376 \nL 144.090629 139.202317 \nL 142.600332 141.489963 \nL 141.501679 143.711491 \nL 140.699043 145.876429 \nL 140.116446 147.985871 \nL 139.529807 151.038356 \nL 139.075525 154.87478 \nL 138.666028 160.877162 \nL 138.20237 167.28492 \nL 137.778312 170.296061 \nL 137.259053 172.480079 \nL 136.708974 174.013357 \nL 135.96336 175.477961 \nL 134.94884 176.89458 \nL 133.56403 178.284686 \nL 132.367889 179.206669 \nL 130.892032 180.130079 \nL 129.069834 181.056116 \nL 126.819414 181.980174 \nL 124.041037 182.887298 \nL 120.61501 183.744795 \nL 116.401243 184.490422 \nL 111.242823 185.014055 \nL 108.258397 185.138611 \nL 104.977999 185.13037 \nL 101.385235 184.948194 \nL 97.468363 184.541011 \nL 93.222982 183.846348 \nL 88.65555 182.789152 \nL 83.787841 181.281294 \nL 78.662358 179.222319 \nL 73.348464 176.502279 \nL 67.948777 173.007594 \nL 62.604758 168.63106 \nL 57.49995 163.286818 \nL 52.858621 156.930336 \nL 48.937278 149.581896 \nL 46.006976 141.34991 \nL 44.325914 132.447732 \nL 44.104765 123.196237 \nL 45.470934 114.005382 \nL 48.440676 105.332701 \nL 52.908037 97.624359 \nL 58.655598 91.252015 \nL 65.385281 86.462063 \nL 72.760935 83.350352 \nL 80.451435 81.866793 \nL 88.164653 81.844477 \nL 95.667385 83.041943 \nL 102.791378 85.186514 \nL 109.429006 88.00988 \nL 115.523118 91.272097 \nL 121.055024 94.773922 \nL 126.033175 98.360045 \nL 130.483768 101.916316 \nL 134.443626 105.363731 \nL 137.955123 108.651443 \nL 143.810877 114.644926 \nL 148.397955 119.817335 \nL 153.572827 126.133906 \nL 158.575406 132.292764 \nL 160.682231 134.56791 \nL 162.707591 136.37671 \nL 164.75105 137.7513 \nL 166.888249 138.70958 \nL 169.17377 139.257518 \nL 171.642336 139.391922 \nL 174.308231 139.103974 \nL 177.162975 138.383887 \nL 180.171553 137.227157 \nL 183.267879 135.642638 \nL 186.350808 133.662213 \nL 189.282731 131.350985 \nL 191.893469 128.815568 \nL 193.019035 127.509297 \nL 193.992164 126.206744 \nL 194.789308 124.932475 \nL 195.388796 123.71221 \nL 195.771905 122.571893 \nL 195.923903 121.536597 \nL 195.834987 120.629359 \nL 195.501041 119.870032 \nL 194.924134 119.274248 \nL 194.112669 118.852622 \nL 193.081194 118.610262 \nL 191.849842 118.546653 \nL 190.44346 118.655937 \nL 188.890499 118.927515 \nL 185.469083 119.897065 \nL 181.837358 121.313375 \nL 178.228313 123.024679 \nL 174.83176 124.896024 \nL 171.784134 126.823166 \nL 169.170114 128.734466 \nL 167.031392 130.58513 \nL 165.378201 132.348603 \nL 164.200555 134.008319 \nL 163.477603 135.551422 \nL 163.184607 136.964668 \nL 163.297614 138.2321 \nL 163.796178 139.333965 \nL 164.66448 140.246288 \nL 165.891164 140.940871 \nL 167.468045 141.385528 \nL 169.387758 141.544654 \nL 171.640291 141.380306 \nL 174.208303 140.854249 \nL 177.061176 139.931423 \nL 180.147909 138.585407 \nL 183.389408 136.806327 \nL 186.671378 134.611199 \nL 189.840018 132.055643 \nL 192.703627 129.244461 \nL 193.953261 127.790623 \nL 195.043697 126.336547 \nL 195.947214 124.909522 \nL 196.637961 123.538578 \nL 197.093206 122.253406 \nL 197.294619 121.08305 \nL 197.22947 120.054479 \nL 196.891586 119.191146 \nL 196.282033 118.511663 \nL 195.409374 118.028753 \nL 194.289492 117.748595 \nL 192.944948 117.670618 \nL 191.403947 117.787817 \nL 189.698984 118.087502 \nL 187.865315 118.55241 \nL 183.957291 119.894132 \nL 179.959877 121.635163 \nL 176.11241 123.606794 \nL 172.593943 125.673723 \nL 169.520235 127.741707 \nL 166.951997 129.75296 \nL 164.908315 131.675828 \nL 163.380683 133.493895 \nL 162.345088 135.19726 \nL 161.771229 136.776708 \nL 161.628863 138.220398 \nL 161.891715 139.512284 \nL 162.539466 140.631536 \nL 163.558261 141.5524 \nL 164.940025 142.244278 \nL 166.680748 142.67192 \nL 168.777705 142.795857 \nL 171.2255 142.57341 \nL 174.010734 141.960733 \nL 177.105122 140.916564 \nL 180.457109 139.408394 \nL 183.982536 137.421744 \nL 187.555745 134.972646 \nL 191.003778 132.12221 \nL 192.613981 130.581342 \nL 194.107719 128.990109 \nL 195.452582 127.37374 \nL 196.615755 125.761216 \nL 197.565265 124.184592 \nL 198.271455 122.67794 \nL 198.708547 121.275958 \nL 198.856239 120.012312 \nL 198.701131 118.917826 \nL 198.237884 118.018656 \nL 197.469952 117.334708 \nL 196.409771 116.878423 \nL 195.078375 116.654086 \nL 193.504434 116.657802 \nL 191.722809 116.87811 \nL 189.772771 117.297114 \nL 187.696047 117.892068 \nL 183.330234 119.505254 \nL 178.939798 121.504969 \nL 174.781052 123.701718 \nL 171.034651 125.953575 \nL 167.807528 128.169657 \nL 165.146316 130.300481 \nL 163.054808 132.323666 \nL 161.510479 134.230794 \nL 160.477785 136.017891 \nL 159.917751 137.67968 \nL 159.79423 139.20668 \nL 160.077533 140.584096 \nL 160.746126 141.791588 \nL 161.786887 142.80333 \nL 163.194301 143.588076 \nL 164.968709 144.109154 \nL 167.11357 144.324566 \nL 169.631576 144.187487 \nL 172.519279 143.647664 \nL 175.759909 142.654504 \nL 179.314179 141.162747 \nL 183.109267 139.141761 \nL 187.027129 136.589157 \nL 188.980314 135.124736 \nL 190.894632 133.548292 \nL 192.739229 131.875488 \nL 194.48 130.126988 \nL 196.080244 128.328629 \nL 197.501675 126.511312 \nL 198.705766 124.710448 \nL 199.655404 122.96498 \nL 200.316793 121.315914 \nL 200.66148 119.804401 \nL 200.668322 118.469521 \nL 200.325218 117.34589 \nL 199.63038 116.461403 \nL 198.592986 115.835363 \nL 197.233074 115.47718 \nL 195.580668 115.385944 \nL 193.674189 115.550856 \nL 191.558346 115.952434 \nL 189.28168 116.56443 \nL 186.894063 117.35608 \nL 181.978426 119.346765 \nL 177.157887 121.672355 \nL 172.694909 124.127953 \nL 168.757639 126.575064 \nL 165.430724 128.936399 \nL 162.736007 131.17861 \nL 160.654514 133.293457 \nL 159.145088 135.28295 \nL 158.158217 137.149889 \nL 157.645289 138.89296 \nL 157.564204 140.504809 \nL 157.882333 141.971723 \nL 158.577639 143.273891 \nL 159.638583 144.385675 \nL 161.063135 145.275664 \nL 162.857037 145.906435 \nL 165.031245 146.234206 \nL 167.598304 146.208656 \nL 170.567235 145.77346 \nL 173.936404 144.868299 \nL 177.683873 143.433447 \nL 181.754972 141.418336 \nL 183.882266 140.183188 \nL 186.047659 138.795482 \nL 188.228551 137.258679 \nL 190.397705 135.580457 \nL 192.523138 133.773534 \nL 194.568223 131.856404 \nL 196.492158 129.853906 \nL 198.250808 127.797499 \nL 199.798009 125.725082 \nL 201.087336 123.680302 \nL 202.074311 121.711177 \nL 202.718921 119.868074 \nL 202.988301 118.201073 \nL 202.859288 116.756891 \nL 202.320593 115.575707 \nL 201.374284 114.688201 \nL 200.036342 114.113227 \nL 198.33616 113.856491 \nL 196.314983 113.910414 \nL 194.023471 114.255233 \nL 191.518627 114.861152 \nL 188.860481 115.691256 \nL 186.108854 116.704739 \nL 180.547119 119.117424 \nL 175.216685 121.801082 \nL 170.385131 124.535716 \nL 166.204146 127.190189 \nL 162.731528 129.705345 \nL 159.960309 132.067602 \nL 157.84557 134.28524 \nL 156.325077 136.37211 \nL 155.333391 138.33868 \nL 154.810587 140.188338 \nL 154.707065 141.916702 \nL 154.985736 143.512259 \nL 155.622569 144.957224 \nL 156.606156 146.228127 \nL 157.936674 147.295891 \nL 159.624381 148.125398 \nL 161.687623 148.674638 \nL 164.150061 148.893713 \nL 167.036716 148.724049 \nL 170.368161 148.098441 \nL 174.152043 146.942994 \nL 176.209636 146.142859 \nL 178.371097 145.182412 \nL 180.627741 144.053772 \nL 182.967115 142.750718 \nL 185.372325 141.269468 \nL 187.821386 139.609604 \nL 190.286635 137.77514 \nL 192.734312 135.775673 \nL 195.124367 133.62753 \nL 197.410639 131.354818 \nL 199.541516 128.990201 \nL 201.461181 126.575229 \nL 203.111521 124.159996 \nL 204.434735 121.801935 \nL 205.376534 119.56362 \nL 205.889749 117.509578 \nL 205.93804 115.702273 \nL 205.499304 114.197573 \nL 204.568283 113.040273 \nL 203.157985 112.260281 \nL 201.299615 111.870065 \nL 199.040902 111.863806 \nL 196.44304 112.218461 \nL 193.57655 112.896527 \nL 190.51666 113.850116 \nL 187.338723 115.025572 \nL 184.114203 116.368091 \nL 177.774137 119.352135 \nL 171.897727 122.465121 \nL 166.727593 125.495082 \nL 162.369058 128.343542 \nL 158.829261 130.988945 \nL 156.056037 133.449208 \nL 153.968463 135.754582 \nL 152.477671 137.932356 \nL 151.499557 140.000488 \nL 150.96166 141.966476 \nL 150.806258 143.828679 \nL 150.991202 145.578258 \nL 151.489514 147.200818 \nL 152.288418 148.677391 \nL 153.388165 149.984678 \nL 154.800837 151.094562 \nL 156.549109 151.973014 \nL 158.664819 152.578494 \nL 161.187037 152.86001 \nL 164.15908 152.755104 \nL 167.62369 152.188281 \nL 169.552079 151.704395 \nL 171.615273 151.070821 \nL 173.814289 150.274862 \nL 176.147805 149.303631 \nL 178.611447 148.1445 \nL 181.196958 146.785727 \nL 183.891284 145.217288 \nL 186.675582 143.431955 \nL 189.524202 141.426617 \nL 192.403747 139.203833 \nL 195.272285 136.773594 \nL 198.078913 134.15514 \nL 200.763827 131.378704 \nL 203.259108 128.48687 \nL 205.49045 125.535264 \nL 207.37996 122.592164 \nL 208.850074 119.736691 \nL 209.828484 117.055325 \nL 210.253734 114.63674 \nL 210.0809 112.565228 \nL 209.286653 110.913434 \nL 207.872831 109.735398 \nL 205.867867 109.061031 \nL 203.325627 108.893095 \nL 200.321694 109.207377 \nL 196.947577 109.956001 \nL 193.30368 111.073339 \nL 189.492079 112.483419 \nL 185.610034 114.107514 \nL 177.970881 117.707509 \nL 170.918787 121.397952 \nL 164.757358 124.898664 \nL 159.598528 128.10106 \nL 155.424328 131.005852 \nL 152.144012 133.663659 \nL 149.635717 136.135329 \nL 147.772675 138.471935 \nL 146.437749 140.708314 \nL 145.530292 142.863694 \nL 144.968395 144.945213 \nL 144.688591 146.951808 \nL 144.644325 148.877441 \nL 144.804005 150.713333 \nL 145.149089 152.449241 \nL 145.672442 154.073958 \nL 146.377104 155.575215 \nL 147.27548 156.939109 \nL 148.388938 158.149124 \nL 149.747768 159.184793 \nL 151.391388 160.01994 \nL 153.368654 160.620435 \nL 155.738013 160.941414 \nL 158.567062 160.923866 \nL 161.930825 160.490731 \nL 165.907573 159.542892 \nL 168.149225 158.838158 \nL 170.570432 157.956156 \nL 173.177042 156.877477 \nL 175.972152 155.58155 \nL 178.95502 154.047164 \nL 182.119735 152.253297 \nL 185.453657 150.180318 \nL 188.935619 147.811655 \nL 192.533984 145.136021 \nL 196.204645 142.150203 \nL 199.889209 138.862412 \nL 203.513644 135.295994 \nL 206.987782 131.493214 \nL 210.206216 127.518541 \nL 213.051049 123.460662 \nL 215.396975 119.432255 \nL 217.118881 115.566582 \nL 218.101712 112.010166 \nL 218.251826 108.911456 \nL 217.508323 106.406406 \nL 215.85247 104.602857 \nL 213.313142 103.566674 \nL 209.966773 103.31265 \nL 205.931326 103.802515 \nL 201.355102 104.950824 \nL 196.402443 106.637443 \nL 191.238904 108.72384 \nL 186.018334 111.069714 \nL 175.911063 116.048778 \nL 166.8232 120.830079 \nL 155.765633 126.949166 \nL 150.1126 130.309559 \nL 145.655125 133.234896 \nL 142.184535 135.864241 \nL 139.492149 138.30883 \nL 137.388974 140.643596 \nL 135.712726 142.911847 \nL 134.328171 145.133971 \nL 132.009587 149.45492 \nL 129.755243 153.578583 \nL 128.492004 155.547013 \nL 127.063573 157.441448 \nL 125.415287 159.251297 \nL 123.490464 160.962511 \nL 121.228711 162.554867 \nL 118.565163 163.998104 \nL 115.431141 165.246613 \nL 113.665851 165.777686 \nL 111.757083 166.232321 \nL 109.697079 166.597004 \nL 107.47914 166.855578 \nL 105.098179 166.988891 \nL 102.551435 166.974456 \nL 99.839357 166.786181 \nL 96.966676 166.394218 \nL 93.943685 165.765016 \nL 90.787696 164.861675 \nL 87.524636 163.644769 \nL 84.190682 162.073755 \nL 80.833779 160.109165 \nL 77.514789 157.7157 \nL 74.307976 154.866291 \nL 71.300412 151.547087 \nL 68.58991 147.763001 \nL 66.281115 143.543315 \nL 64.479629 138.946366 \nL 63.284308 134.06221 \nL 62.778376 129.012064 \nL 63.020447 123.943584 \nL 64.036913 119.021752 \nL 65.817164 114.415979 \nL 68.312825 110.285238 \nL 71.441343 106.763523 \nL 75.093488 103.948262 \nL 79.143402 101.89359 \nL 83.459459 100.609286 \nL 87.914249 100.065039 \nL 92.392437 100.198582 \nL 96.79587 100.925793 \nL 101.045979 102.150936 \nL 105.083921 103.775647 \nL 108.869103 105.705868 \nL 112.376785 107.856508 \nL 115.595274 110.153961 \nL 118.523149 112.537011 \nL 121.166717 114.95647 \nL 123.53783 117.374123 \nL 125.652095 119.761246 \nL 127.527441 122.097051 \nL 129.183021 124.367151 \nL 131.912851 128.676789 \nL 133.992875 132.656462 \nL 135.560091 136.308039 \nL 136.732086 139.651254 \nL 137.606109 142.71332 \nL 138.525011 146.842315 \nL 139.306725 151.619569 \nL 140.753941 161.622953 \nL 141.449773 164.382039 \nL 142.146545 166.181755 \nL 143.061903 167.748252 \nL 143.832878 168.655922 \nL 144.76723 169.444604 \nL 145.902085 170.10119 \nL 147.28267 170.606775 \nL 148.963956 170.9347 \nL 151.01238 171.04784 \nL 153.507457 170.894903 \nL 156.542841 170.405492 \nL 160.225999 169.483806 \nL 164.674967 168.001161 \nL 170.009511 165.788444 \nL 173.042457 164.343118 \nL 176.33236 162.6315 \nL 179.883663 160.620574 \nL 183.694087 158.276226 \nL 187.752096 155.56492 \nL 192.033835 152.456228 \nL 196.499648 148.92644 \nL 201.090308 144.96338 \nL 205.723342 140.57253 \nL 210.29 135.784163 \nL 214.653743 130.660937 \nL 218.65131 125.304803 \nL 222.097598 119.861353 \nL 224.795414 114.519405 \nL 226.550579 109.503341 \nL 227.191764 105.056571 \nL 226.592794 101.41624 \nL 224.693583 98.782171 \nL 221.514811 97.285941 \nL 217.16191 96.967812 \nL 211.816048 97.768549 \nL 205.713266 99.53913 \nL 199.116292 102.066341 \nL 192.285358 105.107129 \nL 185.45396 108.422935 \nL 172.504994 115.097786 \nL 151.914479 125.816599 \nL 138.670271 132.607805 \nL 134.138533 135.124471 \nL 130.584242 137.346942 \nL 127.737322 139.406478 \nL 125.371609 141.374888 \nL 121.378871 145.129261 \nL 118.510344 147.753295 \nL 116.472624 149.363766 \nL 114.24808 150.820263 \nL 111.778531 152.077065 \nL 109.019469 153.0786 \nL 105.9421 153.757049 \nL 104.280462 153.950002 \nL 102.538112 154.030125 \nL 100.718481 153.98475 \nL 98.827411 153.800377 \nL 96.873538 153.462875 \nL 94.868693 152.957789 \nL 92.828296 152.270789 \nL 90.771703 151.388297 \nL 88.722463 150.298273 \nL 86.708428 148.991198 \nL 84.76166 147.461232 \nL 82.91805 145.707484 \nL 81.216593 143.735344 \nL 79.698289 141.557765 \nL 78.404631 139.196303 \nL 77.375711 136.681782 \nL 76.648064 134.054388 \nL 76.252361 131.362993 \nL 76.211199 128.663698 \nL 76.537189 126.017493 \nL 77.231626 123.487267 \nL 78.283895 121.134351 \nL 79.671767 119.014971 \nL 81.362532 117.176973 \nL 83.314909 115.657295 \nL 85.481458 114.480302 \nL 87.811269 113.657225 \nL 90.252616 113.186692 \nL 92.755345 113.056074 \nL 95.272834 113.243533 \nL 97.763389 113.720367 \nL 100.191132 114.453437 \nL 102.526369 115.407413 \nL 104.745551 116.546698 \nL 106.83092 117.836932 \nL 108.769962 119.246092 \nL 110.554728 120.745184 \nL 112.181121 122.308602 \nL 113.648178 123.914216 \nL 114.957409 125.543279 \nL 116.112187 127.180191 \nL 117.117217 128.812189 \nL 118.700895 132.022531 \nL 119.757358 135.115902 \nL 120.334999 138.05804 \nL 120.476033 140.830265 \nL 120.21339 143.422883 \nL 119.569355 145.830112 \nL 118.555449 148.046173 \nL 117.173179 150.062004 \nL 115.41553 151.862239 \nL 114.391967 152.674236 \nL 113.269282 153.422159 \nL 112.045407 154.100921 \nL 110.718385 154.704423 \nL 109.286573 155.225449 \nL 107.748876 155.655548 \nL 106.105034 155.984948 \nL 104.355952 156.202477 \nL 102.504086 156.295518 \nL 100.553888 156.250031 \nL 98.512301 156.050655 \nL 96.389301 155.680903 \nL 94.198459 155.123513 \nL 91.957515 154.360983 \nL 89.688896 153.376292 \nL 87.420139 152.153912 \nL 85.184125 150.681042 \nL 83.019069 148.949109 \nL 80.96811 146.955472 \nL 79.07847 144.705238 \nL 77.400064 142.212991 \nL 75.98354 139.504297 \nL 74.877811 136.616639 \nL 74.12716 133.59957 \nL 73.768188 130.513817 \nL 73.826883 127.429204 \nL 74.316172 124.421413 \nL 75.234307 121.56779 \nL 76.564351 118.942612 \nL 78.274899 116.612362 \nL 80.321958 114.631519 \nL 82.651798 113.039517 \nL 85.204373 111.859101 \nL 87.916949 111.096185 \nL 90.727498 110.741204 \nL 93.577575 110.77145 \nL 96.414485 111.154162 \nL 99.192681 111.849799 \nL 101.874438 112.815204 \nL 104.429912 114.006333 \nL 106.836742 115.38045 \nL 109.079339 116.897711 \nL 111.147998 118.522149 \nL 113.037952 120.222224 \nL 114.748435 121.970934 \nL 116.2818 123.745681 \nL 117.642735 125.52794 \nL 118.837585 127.302833 \nL 119.873775 129.058662 \nL 121.502512 132.479386 \nL 122.594067 135.742758 \nL 123.208922 138.82559 \nL 123.397861 141.719507 \nL 123.199471 144.424212 \nL 122.639284 146.942674 \nL 121.729945 149.277576 \nL 120.471993 151.42847 \nL 118.855096 153.389203 \nL 116.859748 155.14518 \nL 114.459648 156.67021 \nL 113.098565 157.333847 \nL 111.625197 157.922711 \nL 110.036202 158.428464 \nL 108.328836 158.841212 \nL 106.501288 159.149363 \nL 104.553085 159.339487 \nL 102.485568 159.396224 \nL 100.302462 159.302256 \nL 98.010508 159.038365 \nL 95.620196 158.58362 \nL 93.146541 157.915788 \nL 90.609874 157.011952 \nL 88.036606 155.84946 \nL 85.459867 154.407214 \nL 82.919915 152.667369 \nL 80.464177 150.617418 \nL 78.146766 148.252591 \nL 76.027326 145.578458 \nL 74.169085 142.613466 \nL 72.636059 139.39106 \nL 71.489486 135.960992 \nL 70.783677 132.389388 \nL 70.56169 128.757138 \nL 70.851319 125.156537 \nL 71.661953 121.686161 \nL 72.982851 118.444487 \nL 74.783183 115.522994 \nL 77.013885 112.999595 \nL 79.611159 110.933366 \nL 82.501091 109.36129 \nL 85.604759 108.297282 \nL 88.843197 107.733477 \nL 92.141648 107.643331 \nL 95.432813 107.985877 \nL 98.658905 108.71049 \nL 101.772634 109.761457 \nL 104.737256 111.081936 \nL 107.525962 112.617125 \nL 110.120818 114.316426 \nL 112.511476 116.134801 \nL 114.693844 118.03338 \nL 116.668786 119.979532 \nL 118.440948 121.946542 \nL 120.017724 123.913065 \nL 121.408391 125.862465 \nL 122.623389 127.782111 \nL 123.673748 129.662713 \nL 125.324982 133.282721 \nL 126.447313 136.693517 \nL 127.11574 139.888007 \nL 127.39136 142.871506 \nL 127.320051 145.655471 \nL 126.932505 148.253438 \nL 126.244962 150.678305 \nL 125.260185 152.940395 \nL 123.968498 155.045786 \nL 122.348781 156.994576 \nL 120.369559 158.778749 \nL 117.990406 160.37929 \nL 115.164137 161.762245 \nL 113.567609 162.356163 \nL 111.840532 162.873443 \nL 109.977193 163.303052 \nL 107.972696 163.631785 \nL 105.823424 163.844015 \nL 103.527601 163.921452 \nL 101.085995 163.84296 \nL 98.502745 163.58446 \nL 95.786343 163.118983 \nL 92.950739 162.416951 \nL 90.016552 161.446764 \nL 87.012312 160.175817 \nL 83.975634 158.572061 \nL 80.954159 156.606165 \nL 78.006075 154.254408 \nL 75.199919 151.502204 \nL 72.613419 148.34814 \nL 70.331079 144.808191 \nL 68.440358 140.919556 \nL 67.026459 136.743405 \nL 66.166001 132.365704 \nL 65.92017 127.895382 \nL 66.328253 123.459392 \nL 67.402557 119.194736 \nL 69.125726 115.238192 \nL 71.451056 111.715128 \nL 74.305954 108.72912 \nL 77.597986 106.353989 \nL 81.222606 104.629511 \nL 85.071281 103.561162 \nL 89.038936 103.12358 \nL 93.029834 103.266668 \nL 96.961516 103.923088 \nL 100.7668 105.015885 \nL 104.394098 106.46527 \nL 107.806508 108.19396 \nL 110.980165 110.13096 \nL 113.90218 112.213759 \nL 116.568533 114.389301 \nL 118.982071 116.613975 \nL 121.150735 118.852998 \nL 123.086064 121.079436 \nL 124.801952 123.273066 \nL 126.31368 125.419236 \nL 127.63714 127.50781 \nL 129.782602 131.488658 \nL 131.359381 135.192417 \nL 132.474638 138.621898 \nL 133.218052 141.793505 \nL 133.661206 144.729758 \nL 133.858577 147.454989 \nL 133.849255 149.993001 \nL 133.658841 152.365876 \nL 133.301196 154.593452 \nL 132.779849 156.69313 \nL 132.089005 158.679844 \nL 131.214112 160.566005 \nL 130.132021 162.361292 \nL 128.810763 164.072156 \nL 127.209028 165.700888 \nL 125.275471 167.243962 \nL 122.948043 168.689387 \nL 120.153748 170.012585 \nL 116.809472 171.170196 \nL 114.903035 171.666077 \nL 112.82506 172.091085 \nL 110.564356 172.429946 \nL 108.110561 172.663888 \nL 105.454822 172.770058 \nL 102.590701 172.720944 \nL 99.515339 172.483806 \nL 96.230937 172.020248 \nL 92.746561 171.285997 \nL 89.080302 170.231104 \nL 85.261728 168.800761 \nL 81.33453 166.937036 \nL 77.359099 164.581816 \nL 73.414689 161.6813 \nL 69.600607 158.19221 \nL 66.03571 154.089706 \nL 62.855452 149.376536 \nL 60.205775 144.092422 \nL 58.233514 138.321966 \nL 57.073619 132.198863 \nL 56.834511 125.904134 \nL 57.583745 119.656698 \nL 59.336879 113.696115 \nL 62.052224 108.259515 \nL 65.63315 103.556471 \nL 69.937912 99.746943 \nL 74.795019 96.926625 \nL 80.021029 95.122317 \nL 85.437334 94.297154 \nL 90.883397 94.363467 \nL 96.225096 95.199531 \nL 101.358232 96.666697 \nL 106.208122 98.624122 \nL 110.726596 100.939739 \nL 114.887669 103.497085 \nL 118.68285 106.198526 \nL 122.116751 108.965749 \nL 125.203296 111.738454 \nL 127.962646 114.472068 \nL 130.418815 117.13506 \nL 132.597872 119.70632 \nL 136.231759 124.527279 \nL 139.073171 128.892563 \nL 141.312635 132.810901 \nL 143.897745 137.920591 \nL 147.184059 144.693546 \nL 148.417677 146.879447 \nL 149.715486 148.794415 \nL 151.139438 150.445431 \nL 152.747549 151.830173 \nL 154.596601 152.9362 \nL 156.74409 153.73981 \nL 159.24916 154.204544 \nL 160.654655 154.294519 \nL 162.172184 154.279419 \nL 163.80909 154.150318 \nL 165.572335 153.897196 \nL 167.468241 153.508953 \nL 169.502152 152.973458 \nL 171.677995 152.277672 \nL 173.997741 151.407865 \nL 176.460735 150.34996 \nL 179.062896 149.090038 \nL 181.795795 147.615051 \nL 184.645591 145.913782 \nL 187.591903 143.97808 \nL 190.606629 141.804413 \nL 193.65285 139.395686 \nL 196.68392 136.763309 \nL 199.642953 133.929348 \nL 202.462937 130.928562 \nL 205.067723 127.809984 \nL 207.374121 124.637642 \nL 209.2953 121.489945 \nL 210.745541 118.457313 \nL 211.646131 115.637764 \nL 211.931978 113.130459 \nL 211.558184 111.027693 \nL 210.505647 109.406267 \nL 208.784698 108.319526 \nL 206.435964 107.791518 \nL 203.528071 107.814502 \nL 200.152429 108.350366 \nL 196.415777 109.335781 \nL 192.43173 110.690065 \nL 188.312513 112.324269 \nL 184.161992 114.149958 \nL 176.112681 118.06506 \nL 168.808674 121.950792 \nL 162.519451 125.551796 \nL 157.315827 128.794621 \nL 153.143072 131.710387 \nL 149.88202 134.370295 \nL 147.390584 136.846732 \nL 145.528229 139.1961 \nL 144.16855 141.455104 \nL 143.204433 143.6434 \nL 142.548983 145.76833 \nL 142.134234 147.829492 \nL 141.908892 149.822307 \nL 141.848052 152.669355 \nL 142.054792 155.326102 \nL 142.496847 157.772375 \nL 143.177766 159.98949 \nL 143.780182 161.330369 \nL 144.520985 162.552949 \nL 145.423928 163.647548 \nL 146.519584 164.601221 \nL 147.846227 165.396371 \nL 149.450907 166.008966 \nL 151.390646 166.40617 \nL 153.733527 166.543253 \nL 156.559329 166.359596 \nL 159.959017 165.773695 \nL 164.031891 164.677417 \nL 168.87839 162.930309 \nL 171.620041 161.759025 \nL 174.585337 160.356242 \nL 177.778611 158.694952 \nL 181.199048 156.747165 \nL 184.838793 154.485093 \nL 188.680676 151.882937 \nL 192.695587 148.919416 \nL 196.839632 145.581175 \nL 201.05124 141.867093 \nL 205.248623 137.793446 \nL 209.328088 133.399561 \nL 213.163931 128.753356 \nL 216.610727 123.955664 \nL 219.508873 119.141907 \nL 221.693948 114.479457 \nL 223.009889 110.159129 \nL 223.325101 106.380211 \nL 222.549463 103.329722 \nL 220.64916 101.158754 \nL 217.655975 99.960529 \nL 213.668198 99.755387 \nL 208.842083 100.487071 \nL 203.375085 102.03182 \nL 197.484342 104.218153 \nL 191.384766 106.852386 \nL 185.27077 109.743808 \nL 173.608374 115.66213 \nL 151.124946 127.576333 \nL 144.990489 130.954175 \nL 140.185562 133.800048 \nL 136.436978 136.306789 \nL 133.488325 138.615412 \nL 131.115835 140.813874 \nL 129.131504 142.948244 \nL 125.735114 147.075327 \nL 123.240918 150.0171 \nL 121.436254 151.870892 \nL 119.433012 153.608912 \nL 117.166708 155.198725 \nL 114.578695 156.59911 \nL 111.616684 157.756321 \nL 109.981505 158.222379 \nL 108.237753 158.599418 \nL 106.382557 158.875051 \nL 104.414645 159.03521 \nL 102.334787 159.064044 \nL 100.146319 158.943904 \nL 97.855761 158.655403 \nL 95.473496 158.17764 \nL 93.014505 157.488597 \nL 90.499117 156.565782 \nL 87.953713 155.387183 \nL 85.411306 153.932577 \nL 82.911869 152.185186 \nL 80.502306 150.133736 \nL 78.235906 147.77479 \nL 76.171121 145.115243 \nL 74.369594 142.17471 \nL 72.893372 138.987494 \nL 71.801401 135.603705 \nL 71.145504 132.089153 \nL 70.96624 128.523646 \nL 71.289092 124.997568 \nL 72.121569 121.606855 \nL 73.451683 118.446798 \nL 75.24811 115.605424 \nL 77.462101 113.157268 \nL 80.03092 111.158454 \nL 82.882309 109.643679 \nL 85.939408 108.625417 \nL 89.125493 108.095241 \nL 92.368025 108.026856 \nL 95.601725 108.380222 \nL 98.770538 109.106067 \nL 101.828547 110.150304 \nL 104.740028 111.457801 \nL 107.478851 112.97537 \nL 110.027464 114.653895 \nL 112.375671 116.44959 \nL 114.519345 118.324608 \nL 116.459176 120.247109 \nL 118.19954 122.190961 \nL 119.747504 124.135232 \nL 121.11198 126.063547 \nL 122.303025 127.963425 \nL 123.331287 129.825639 \nL 124.942409 133.412949 \nL 126.027753 136.79601 \nL 126.65981 139.966867 \nL 126.897481 142.929811 \nL 126.78471 145.695216 \nL 126.350479 148.27546 \nL 125.609478 150.682185 \nL 124.563064 152.924241 \nL 123.200301 155.005922 \nL 121.499031 156.925058 \nL 119.427111 158.670662 \nL 116.944096 160.219802 \nL 115.534141 160.909256 \nL 114.003899 161.533392 \nL 112.347455 162.083892 \nL 110.559245 162.550672 \nL 108.634386 162.92163 \nL 106.569086 163.18242 \nL 104.361151 163.31621 \nL 102.010615 163.303507 \nL 99.520496 163.122027 \nL 96.89768 162.746712 \nL 94.153937 162.149919 \nL 91.307044 161.301889 \nL 88.381959 160.171567 \nL 85.411964 158.727904 \nL 82.439646 156.941722 \nL 79.517541 154.788201 \nL 76.70821 152.250015 \nL 74.083491 149.320994 \nL 71.722654 146.010089 \nL 69.709297 142.345182 \nL 68.126889 138.376138 \nL 67.053141 134.176356 \nL 66.553652 129.842086 \nL 66.675537 125.488949 \nL 67.441977 121.245529 \nL 68.848634 117.244469 \nL 70.862709 113.612128 \nL 73.424911 110.458249 \nL 76.454178 107.867275 \nL 79.854395 105.892666 \nL 83.522023 104.554924 \nL 87.353555 103.843295 \nL 91.251853 103.72048 \nL 95.130796 104.129222 \nL 98.918066 104.999524 \nL 102.556221 106.255561 \nL 106.002395 107.821437 \nL 109.227059 109.625516 \nL 112.212237 111.603255 \nL 114.949531 113.698715 \nL 117.438144 115.865019 \nL 119.683075 118.064043 \nL 121.693553 120.265687 \nL 123.481713 122.446858 \nL 125.061529 124.590387 \nL 126.447973 126.683997 \nL 128.70183 130.691114 \nL 130.361873 134.434334 \nL 131.535044 137.909631 \nL 132.31192 141.129237 \nL 132.76534 144.113239 \nL 132.950917 146.884625 \nL 132.908464 149.466496 \nL 132.663715 151.880566 \nL 132.229968 154.146404 \nL 131.609443 156.281066 \nL 130.794247 158.298868 \nL 129.766931 160.211136 \nL 128.500648 162.025711 \nL 126.958983 163.746106 \nL 125.09557 165.370017 \nL 122.853711 166.886944 \nL 120.166329 168.274481 \nL 116.956889 169.492771 \nL 115.130543 170.019311 \nL 113.1423 170.476496 \nL 110.981822 170.850375 \nL 108.639504 171.123843 \nL 106.107072 171.276143 \nL 103.378391 171.282337 \nL 100.450479 171.112824 \nL 97.324803 170.732932 \nL 94.008861 170.10272 \nL 90.518069 169.177106 \nL 86.877912 167.906506 \nL 83.126278 166.23824 \nL 79.315784 164.118957 \nL 75.5158 161.498313 \nL 71.813718 158.334176 \nL 68.314922 154.599294 \nL 65.14074 150.289191 \nL 62.423791 145.430504 \nL 60.300337 140.088491 \nL 58.899711 134.371914 \nL 58.331657 128.433317 \nL 58.673261 122.462969 \nL 59.957771 116.675976 \nL 62.167731 111.293432 \nL 65.234325 106.52044 \nL 69.04345 102.525042 \nL 73.447508 99.422116 \nL 78.280587 97.265296 \nL 83.374094 96.047751 \nL 88.570254 95.710681 \nL 93.731762 96.156805 \nL 98.747123 97.265686 \nL 103.532072 98.908065 \nL 108.028107 100.957465 \nL 112.199241 103.298259 \nL 116.027962 105.830303 \nL 119.511151 108.470747 \nL 122.656347 111.153775 \nL 125.478591 113.829075 \nL 127.997886 116.459681 \nL 130.237218 119.019595 \nL 132.221087 121.491525 \nL 135.521801 126.134063 \nL 138.09237 130.354629 \nL 140.10683 134.163435 \nL 142.407743 139.170389 \nL 146.305653 148.137751 \nL 147.39453 150.116151 \nL 148.58202 151.8607 \nL 149.91986 153.373184 \nL 151.459279 154.647051 \nL 153.253259 155.666443 \nL 155.358215 156.404783 \nL 157.834889 156.822878 \nL 160.748078 156.866558 \nL 164.164537 156.464135 \nL 166.081742 156.06789 \nL 168.147982 155.524277 \nL 170.369203 154.818744 \nL 172.749632 153.935675 \nL 175.291089 152.858672 \nL 177.992132 151.570991 \nL 180.847037 150.056219 \nL 183.844613 148.299222 \nL 186.966854 146.287421 \nL 190.187498 144.012455 \nL 193.470582 141.472225 \nL 196.769111 138.673319 \nL 200.024074 135.633688 \nL 203.164061 132.38535 \nL 206.105811 128.976802 \nL 208.756034 125.474594 \nL 211.014808 121.963517 \nL 212.780707 118.54472 \nL 213.957605 115.331273 \nL 214.462672 112.440988 \nL 214.234778 109.986842 \nL 213.242093 108.066043 \nL 211.487514 106.749393 \nL 209.01078 106.072898 \nL 205.886502 106.033447 \nL 202.218244 106.589628 \nL 198.129487 107.667647 \nL 193.753021 109.171091 \nL 189.220446 110.992644 \nL 184.653275 113.025436 \nL 175.81551 117.35214 \nL 167.83735 121.579892 \nL 161.00936 125.424324 \nL 155.390481 128.821696 \nL 150.899386 131.828576 \nL 147.387191 134.542291 \nL 144.684436 137.055606 \nL 142.627266 139.438579 \nL 141.069898 141.736143 \nL 139.888956 143.972593 \nL 138.983373 146.1579 \nL 137.968671 149.341711 \nL 136.725218 154.367061 \nL 135.52693 158.998447 \nL 134.647729 161.585454 \nL 133.54178 164.037899 \nL 132.630145 165.603951 \nL 131.53897 167.118964 \nL 130.227016 168.585392 \nL 128.645109 170.003422 \nL 126.734448 171.369101 \nL 124.424996 172.671468 \nL 121.634224 173.888143 \nL 118.266846 174.978655 \nL 114.216665 175.874505 \nL 111.900697 176.216948 \nL 109.372583 176.464866 \nL 106.619886 176.5946 \nL 103.632223 176.577138 \nL 100.402495 176.377319 \nL 96.928521 175.953074 \nL 93.215085 175.254872 \nL 89.276483 174.225524 \nL 85.139532 172.800648 \nL 80.846962 170.910147 \nL 76.460967 168.481115 \nL 72.06649 165.442702 \nL 67.773589 161.73328 \nL 63.717936 157.310168 \nL 60.058361 152.161463 \nL 56.97029 146.318939 \nL 54.634358 139.869811 \nL 53.220288 132.964292 \nL 52.867551 125.815437 \nL 53.665745 118.688443 \nL 55.638857 111.878674 \nL 58.737456 105.68077 \nL 62.841558 100.354485 \nL 67.77404 96.094577 \nL 73.321799 93.011381 \nL 79.259847 91.125766 \nL 85.373387 90.377982 \nL 91.474287 90.646508 \nL 97.410485 91.771448 \nL 103.06877 93.577301 \nL 108.372608 95.891499 \nL 113.277055 98.557277 \nL 117.762454 101.440766 \nL 121.828203 104.433512 \nL 125.487257 107.451664 \nL 128.76164 110.433313 \nL 131.678995 113.334905 \nL 134.270021 116.127545 \nL 138.60078 121.323591 \nL 142.004159 125.965875 \nL 144.709288 130.067203 \nL 152.081757 141.920177 \nL 153.710245 143.935023 \nL 155.441361 145.613249 \nL 157.346542 146.95621 \nL 159.489681 147.953036 \nL 160.668839 148.314798 \nL 161.92883 148.580186 \nL 163.276004 148.744223 \nL 164.716253 148.801107 \nL 166.254872 148.744245 \nL 167.896397 148.566297 \nL 169.644374 148.259255 \nL 171.501072 147.814574 \nL 173.467125 147.223353 \nL 175.5411 146.476616 \nL 177.718998 145.565677 \nL 179.993673 144.482622 \nL 182.354197 143.220935 \nL 184.785195 141.776285 \nL 187.266162 140.147436 \nL 189.77085 138.33734 \nL 192.266774 136.3543 \nL 194.714935 134.213199 \nL 197.0699 131.936634 \nL 199.280334 129.555837 \nL 201.29011 127.111165 \nL 203.040116 124.651964 \nL 204.47076 122.235571 \nL 205.525152 119.925315 \nL 206.152763 117.78746 \nL 206.313306 115.887203 \nL 205.980384 114.284053 \nL 205.144435 113.027107 \nL 203.814539 112.150836 \nL 202.018715 111.672094 \nL 199.802556 111.588812 \nL 197.226317 111.880685 \nL 194.360824 112.5117 \nL 191.282722 113.434173 \nL 188.069664 114.593504 \nL 184.795994 115.933057 \nL 178.328139 118.940779 \nL 172.304305 122.100002 \nL 166.985617 125.182311 \nL 162.488828 128.079484 \nL 158.826351 130.766267 \nL 155.946987 133.260735 \nL 153.768203 135.595155 \nL 152.198238 137.799321 \nL 151.149603 139.89349 \nL 150.546418 141.887057 \nL 150.32773 143.779901 \nL 150.448421 145.564438 \nL 150.878818 147.227477 \nL 151.603704 148.751349 \nL 152.621126 150.114272 \nL 153.941214 151.290007 \nL 155.585023 152.246852 \nL 157.58329 152.946109 \nL 159.974827 153.340122 \nL 162.804088 153.370123 \nL 166.117194 152.964263 \nL 169.955399 152.036604 \nL 172.080506 151.346633 \nL 174.344632 150.488431 \nL 176.746011 149.44863 \nL 179.279556 148.214218 \nL 181.935982 146.773231 \nL 184.700815 145.115673 \nL 187.553343 143.234689 \nL 190.465557 141.128024 \nL 193.401178 138.799698 \nL 196.314888 136.261893 \nL 199.151956 133.536871 \nL 201.848455 130.658766 \nL 204.332299 127.674894 \nL 206.525284 124.646257 \nL 208.346337 121.646821 \nL 209.715906 118.761184 \nL 210.561372 116.080433 \nL 210.823045 113.69626 \nL 210.460054 111.693717 \nL 209.455337 110.143489 \nL 207.81884 109.094823 \nL 205.588254 108.570377 \nL 202.826957 108.563958 \nL 199.619345 109.041765 \nL 196.064185 109.946866 \nL 192.267029 111.206122 \nL 188.332735 112.738287 \nL 184.35906 114.461822 \nL 176.622737 118.192726 \nL 169.565342 121.938701 \nL 163.458067 125.446652 \nL 158.383795 128.633068 \nL 154.30302 131.515813 \nL 151.111001 134.154625 \nL 148.677764 136.613797 \nL 146.87243 138.944729 \nL 145.5762 141.181269 \nL 144.688083 143.341473 \nL 144.126391 145.431631 \nL 143.827942 147.450348 \nL 143.746228 149.391795 \nL 143.849265 151.247909 \nL 144.117558 153.009654 \nL 144.542385 154.667511 \nL 145.124499 156.211449 \nL 145.873278 157.630435 \nL 146.806305 158.911651 \nL 147.949327 160.039386 \nL 149.336548 160.993583 \nL 151.011139 161.748011 \nL 153.025825 162.267895 \nL 155.443296 162.506959 \nL 158.335983 162.403755 \nL 161.784471 161.877387 \nL 165.873305 160.823017 \nL 168.183333 160.057597 \nL 170.682223 159.108317 \nL 173.376545 157.954307 \nL 176.269959 156.573366 \nL 179.362033 154.942515 \nL 182.646786 153.038891 \nL 186.110959 150.841071 \nL 189.732029 148.330908 \nL 193.47604 145.496017 \nL 197.295377 142.332886 \nL 201.126733 138.850651 \nL 204.889596 135.075268 \nL 208.485758 131.053776 \nL 211.800366 126.857951 \nL 214.705181 122.586437 \nL 217.064449 118.364271 \nL 218.743685 114.338611 \nL 219.620968 110.669966 \nL 219.599754 107.518858 \nL 218.621407 105.029135 \nL 216.675149 103.310435 \nL 213.803134 102.423208 \nL 210.099034 102.369886 \nL 205.699849 103.094582 \nL 200.772254 104.491743 \nL 195.496089 106.421766 \nL 190.048042 108.730005 \nL 184.588187 111.26503 \nL 174.140848 116.506686 \nL 160.784871 123.621954 \nL 150.751449 129.26136 \nL 145.742638 132.335353 \nL 141.829842 135.044648 \nL 138.785398 137.524418 \nL 136.399632 139.869169 \nL 134.490841 142.135641 \nL 132.906727 144.352116 \nL 130.232232 148.662055 \nL 128.292357 151.766834 \nL 126.890869 153.756687 \nL 125.32839 155.667488 \nL 123.544709 157.483607 \nL 121.479925 159.185059 \nL 119.072856 160.744565 \nL 116.260739 162.123413 \nL 112.980777 163.26593 \nL 111.146709 163.724824 \nL 109.174472 164.092432 \nL 107.058824 164.353667 \nL 104.796168 164.490865 \nL 102.385193 164.483544 \nL 99.827645 164.308227 \nL 97.129258 163.938391 \nL 94.300829 163.344604 \nL 91.359429 162.494925 \nL 88.329699 161.355722 \nL 85.245126 159.89295 \nL 82.14921 158.074085 \nL 79.096265 155.870738 \nL 76.151667 153.262029 \nL 73.391192 150.238603 \nL 70.899204 146.807032 \nL 68.765387 142.994175 \nL 67.079987 138.850754 \nL 65.927649 134.453391 \nL 65.380371 129.904108 \nL 65.490353 125.326745 \nL 66.283807 120.860003 \nL 67.756848 116.647543 \nL 69.874335 112.826443 \nL 72.572059 109.515556 \nL 75.762051 106.80578 \nL 79.340117 104.753733 \nL 83.194401 103.37966 \nL 87.213668 102.669569 \nL 91.294249 102.580694 \nL 95.345029 103.048993 \nL 99.290306 103.997313 \nL 103.070752 105.342998 \nL 106.642864 107.004169 \nL 109.97744 108.904318 \nL 113.057517 110.9752 \nL 115.87613 113.158278 \nL 118.434157 115.405037 \nL 120.738359 117.676494 \nL 122.799712 119.942257 \nL 124.632026 122.179356 \nL 126.250835 124.371024 \nL 127.672543 126.505531 \nL 129.990815 130.575285 \nL 131.714356 134.359881 \nL 132.957365 137.859921 \nL 133.816449 141.091408 \nL 134.36971 144.077371 \nL 134.677677 146.843034 \nL 134.785115 149.413233 \nL 134.723082 151.811092 \nL 134.510888 154.057485 \nL 134.157741 156.170903 \nL 133.663993 158.167524 \nL 133.021949 160.061334 \nL 132.216259 161.864216 \nL 131.223896 163.585856 \nL 130.013769 165.233439 \nL 128.546029 166.810912 \nL 126.771132 168.317672 \nL 124.628828 169.746375 \nL 122.047333 171.079464 \nL 118.943205 172.283813 \nL 115.222814 173.302744 \nL 113.100523 173.715781 \nL 110.787024 174.044531 \nL 108.270776 174.269482 \nL 105.54171 174.366735 \nL 102.592178 174.307347 \nL 99.418212 174.056662 \nL 96.0211 173.573777 \nL 92.409369 172.811236 \nL 88.601164 171.715143 \nL 84.626968 170.225965 \nL 80.532583 168.28035 \nL 76.382081 165.81428 \nL 72.260303 162.768022 \nL 68.274314 159.09304 \nL 64.552952 154.760907 \nL 61.243587 149.773721 \nL 58.505235 144.174802 \nL 56.497628 138.057709 \nL 55.366661 131.570931 \nL 55.227725 124.915542 \nL 56.149602 118.333889 \nL 58.14232 112.089261 \nL 61.152091 106.439114 \nL 65.065113 101.606542 \nL 69.719879 97.756063 \nL 74.925397 94.978624 \nL 80.481456 93.288435 \nL 86.197049 92.631014 \nL 91.904153 92.899163 \nL 97.465733 93.952567 \nL 102.778316 95.636842 \nL 107.770469 97.799262 \nL 112.398707 100.299845 \nL 116.642309 103.017714 \nL 120.49804 105.853643 \nL 123.975393 108.729694 \nL 127.092623 111.587233 \nL 129.873614 114.384027 \nL 132.345508 117.091173 \nL 134.536978 119.690161 \nL 138.193908 124.526683 \nL 141.066123 128.867073 \nL 143.352801 132.731084 \nL 146.827506 139.18527 \nL 148.97958 143.063659 \nL 150.385767 145.246908 \nL 151.861713 147.128725 \nL 153.476048 148.715377 \nL 155.291739 150.002476 \nL 157.368669 150.974208 \nL 158.523373 151.333496 \nL 159.765166 151.60231 \nL 161.101114 151.774989 \nL 162.538102 151.844948 \nL 164.082721 151.804667 \nL 165.741107 151.645681 \nL 167.518723 151.358605 \nL 169.420073 150.933199 \nL 171.44834 150.358495 \nL 173.604927 149.622986 \nL 175.888912 148.71494 \nL 178.29639 147.622829 \nL 180.819717 146.335927 \nL 183.446664 144.845094 \nL 186.159508 143.143774 \nL 188.934093 141.229237 \nL 191.738962 139.104019 \nL 194.534638 136.777538 \nL 197.27321 134.267791 \nL 199.898376 131.602953 \nL 202.346152 128.82268 \nL 204.546425 125.978768 \nL 206.42547 123.134886 \nL 207.909506 120.36502 \nL 208.929197 117.750408 \nL 209.424782 115.374934 \nL 209.351373 113.319201 \nL 208.683736 111.653882 \nL 207.419855 110.433192 \nL 205.58256 109.689574 \nL 203.218871 109.430496 \nL 200.396939 109.638078 \nL 197.201002 110.271617 \nL 193.725037 111.27263 \nL 190.066054 112.571453 \nL 186.31786 114.094254 \nL 178.884457 117.532673 \nL 171.959187 121.119458 \nL 165.861227 124.564089 \nL 160.722439 127.741468 \nL 156.54323 130.637262 \nL 153.247324 133.291523 \nL 150.72325 135.758957 \nL 148.851304 138.087682 \nL 147.519022 140.311399 \nL 146.628893 142.449015 \nL 146.101268 144.507496 \nL 145.874561 146.485408 \nL 145.90409 148.375929 \nL 146.160384 150.168996 \nL 146.627466 151.852483 \nL 147.301349 153.412619 \nL 148.188907 154.833739 \nL 149.307117 156.097505 \nL 150.682656 157.181676 \nL 152.351748 158.058406 \nL 154.360086 158.692076 \nL 156.762557 159.036593 \nL 159.622301 159.032209 \nL 163.00837 158.602 \nL 166.990825 157.648545 \nL 169.225728 156.939025 \nL 171.631535 156.052034 \nL 174.212096 154.969406 \nL 176.968259 153.67221 \nL 179.896796 152.141361 \nL 182.98913 150.358504 \nL 186.229863 148.307278 \nL 189.595131 145.974998 \nL 193.050887 143.35482 \nL 196.551215 140.448389 \nL 200.03691 137.268878 \nL 203.434605 133.844265 \nL 206.656812 130.220437 \nL 209.603325 126.463638 \nL 212.164349 122.661551 \nL 214.22572 118.922165 \nL 215.676212 115.369702 \nL 216.416574 112.137229 \nL 216.369501 109.356026 \nL 215.489102 107.142774 \nL 213.768295 105.58639 \nL 211.24243 104.736981 \nL 207.988132 104.599289 \nL 204.117159 105.132356 \nL 199.766174 106.255592 \nL 195.084246 107.860062 \nL 190.220211 109.822487 \nL 185.311827 112.019201 \nL 175.814491 116.684089 \nL 167.261613 121.198111 \nL 159.968362 125.244875 \nL 153.987346 128.765855 \nL 149.216742 131.838724 \nL 145.483731 134.58333 \nL 142.59652 137.110176 \nL 140.372138 139.501132 \nL 138.648893 141.808016 \nL 137.290082 144.058646 \nL 135.69469 147.351287 \nL 131.733088 156.565216 \nL 130.674248 158.449634 \nL 129.452592 160.267067 \nL 128.02173 162.013602 \nL 126.330793 163.683048 \nL 124.322679 165.264737 \nL 121.932749 166.740369 \nL 119.088337 168.079508 \nL 115.709679 169.233164 \nL 113.793929 169.717929 \nL 111.713436 170.124913 \nL 109.458516 170.438335 \nL 107.02062 170.639061 \nL 104.39304 170.704118 \nL 101.571814 170.606197 \nL 98.556881 170.313252 \nL 95.353504 169.788237 \nL 91.97398 168.989116 \nL 88.439618 167.86931 \nL 84.782911 166.378773 \nL 81.049796 164.465964 \nL 77.301698 162.080928 \nL 73.617038 159.179744 \nL 70.0917 155.7304 \nL 66.837818 151.719932 \nL 63.980305 147.16231 \nL 61.650641 142.10603 \nL 59.977782 136.639883 \nL 59.076746 130.895085 \nL 59.036076 125.042017 \nL 59.90622 119.280487 \nL 61.691061 113.823884 \nL 64.344711 108.879147 \nL 67.774603 104.625876 \nL 71.850592 101.198611 \nL 76.418304 98.675622 \nL 81.314153 97.075964 \nL 86.379358 96.364523 \nL 91.470937 96.463018 \nL 96.468722 97.26412 \nL 101.278392 98.645745 \nL 105.83131 100.483502 \nL 110.08213 102.659975 \nL 114.005251 105.070715 \nL 117.590895 107.627215 \nL 120.84134 110.257561 \nL 123.767621 112.905539 \nL 126.386785 115.528821 \nL 128.719732 118.096802 \nL 130.789547 120.588355 \nL 132.620262 122.9898 \nL 135.66015 127.494503 \nL 138.022701 131.590319 \nL 139.87167 135.292072 \nL 141.982374 140.172978 \nL 145.566155 148.987669 \nL 146.571207 150.95405 \nL 147.669252 152.700042 \nL 148.908566 154.228073 \nL 150.337371 155.532947 \nL 152.006087 156.600936 \nL 153.969117 157.408455 \nL 156.286025 157.920177 \nL 159.021804 158.086642 \nL 162.245701 157.841412 \nL 166.027652 157.098239 \nL 168.148236 156.507054 \nL 170.430906 155.749226 \nL 172.880355 154.80806 \nL 175.498759 153.665971 \nL 178.284859 152.304954 \nL 181.232849 150.707297 \nL 184.331093 148.856606 \nL 187.56064 146.739199 \nL 190.893657 144.345913 \nL 194.291825 141.674368 \nL 197.704874 138.731646 \nL 201.069507 135.537234 \nL 204.308976 132.126039 \nL 207.33373 128.551032 \nL 210.043489 124.884949 \nL 212.331092 121.22038 \nL 214.088292 117.667494 \nL 215.213385 114.34883 \nL 215.620139 111.39105 \nL 215.247026 108.91401 \nL 214.065362 107.018579 \nL 212.084855 105.774976 \nL 209.355204 105.214102 \nL 205.963122 105.323646 \nL 202.024998 106.0502 \nL 197.6764 107.306855 \nL 193.060192 108.984831 \nL 188.315227 110.966661 \nL 183.567178 113.138445 \nL 174.464897 117.667437 \nL 166.336773 122.002539 \nL 159.442247 125.885599 \nL 153.807772 129.282649 \nL 149.325538 132.273034 \nL 145.827643 134.96776 \nL 143.131875 137.466164 \nL 141.066093 139.840519 \nL 139.479048 142.135775 \nL 138.24348 144.375455 \nL 137.255108 146.568665 \nL 136.056321 149.771739 \nL 133.567081 156.77373 \nL 132.281063 159.547596 \nL 131.256599 161.318491 \nL 130.052299 163.02637 \nL 128.623673 164.669851 \nL 126.919846 166.244902 \nL 124.881921 167.742605 \nL 122.441702 169.145885 \nL 119.521116 170.424686 \nL 116.033072 171.529005 \nL 114.047357 171.992283 \nL 111.885001 172.378973 \nL 109.534936 172.672207 \nL 106.987212 172.851373 \nL 104.233765 172.891503 \nL 101.269432 172.762694 \nL 98.09326 172.429572 \nL 94.710129 171.850937 \nL 91.132732 170.979687 \nL 87.383885 169.763266 \nL 83.49911 168.144831 \nL 79.529305 166.065495 \nL 75.543225 163.467945 \nL 71.629317 160.301693 \nL 67.896274 156.530142 \nL 64.471555 152.13919 \nL 61.497071 147.146752 \nL 59.121499 141.611824 \nL 57.489078 135.641136 \nL 56.725672 129.39101 \nL 56.923781 123.062285 \nL 58.129149 116.887212 \nL 60.331874 111.109008 \nL 63.464392 105.957055 \nL 67.407367 101.622304 \nL 72.002452 98.237873 \nL 77.069342 95.868653 \nL 82.423688 94.511312 \nL 87.892664 94.103474 \nL 93.326147 94.538965 \nL 98.602832 95.68533 \nL 103.631809 97.400296 \nL 108.350761 99.54498 \nL 112.722171 101.993053 \nL 116.728681 104.63583 \nL 120.368431 107.384146 \nL 123.650883 110.167869 \nL 126.59334 112.934046 \nL 129.21817 115.644329 \nL 131.550697 118.272261 \nL 133.61764 120.800708 \nL 137.062222 125.524073 \nL 139.758722 129.787697 \nL 141.893092 133.607877 \nL 144.383619 138.582642 \nL 147.641744 145.160917 \nL 148.899611 147.275021 \nL 150.239048 149.118503 \nL 151.721215 150.695899 \nL 153.403987 152.002137 \nL 155.344472 153.021644 \nL 157.600677 153.727138 \nL 160.232081 154.078033 \nL 161.707272 154.103757 \nL 163.298648 154.018702 \nL 165.013246 153.813319 \nL 166.857551 153.476975 \nL 168.837187 152.998001 \nL 170.956518 152.363792 \nL 173.218144 151.560983 \nL 175.62229 150.575745 \nL 178.166059 149.394237 \nL 180.84255 148.003236 \nL 183.639868 146.390999 \nL 186.540021 144.548399 \nL 189.517771 142.470341 \nL 192.539513 140.15747 \nL 195.56231 137.618145 \nL 198.533246 134.870535 \nL 201.38931 131.944682 \nL 204.058049 128.884242 \nL 206.459263 125.747517 \nL 208.507905 122.607343 \nL 210.118319 119.549374 \nL 211.209695 116.668426 \nL 211.712388 114.062805 \nL 211.57448 111.826894 \nL 210.767746 110.042764 \nL 209.291978 108.771973 \nL 207.176855 108.048938 \nL 204.480802 107.877277 \nL 201.286799 108.229789 \nL 197.695751 109.052272 \nL 193.818391 110.270462 \nL 189.766959 111.798654 \nL 185.647795 113.548596 \nL 177.570059 117.392069 \nL 170.153077 121.282246 \nL 163.708311 124.925848 \nL 158.33822 128.221258 \nL 154.007907 131.184161 \nL 150.608577 133.880141 \nL 148.002171 136.38163 \nL 146.048438 138.747453 \nL 144.619313 141.017166 \nL 143.605223 143.212825 \nL 142.91668 145.343417 \nL 142.483373 147.409462 \nL 142.252084 149.406725 \nL 142.203011 152.259406 \nL 142.444213 154.919244 \nL 142.943329 157.363815 \nL 143.420862 158.863267 \nL 144.024973 160.250525 \nL 144.77201 161.517458 \nL 145.68484 162.653839 \nL 146.793351 163.646248 \nL 148.135229 164.476659 \nL 149.756946 165.120637 \nL 151.714834 165.544972 \nL 154.076054 165.704595 \nL 156.919066 165.538643 \nL 160.332893 164.965607 \nL 164.413997 163.877814 \nL 169.258721 162.136168 \nL 171.994024 160.967313 \nL 174.94819 159.567474 \nL 178.124545 157.910423 \nL 181.521164 155.969177 \nL 185.129002 153.717223 \nL 188.929663 151.130334 \nL 192.892874 148.1891 \nL 196.973754 144.882292 \nL 201.110099 141.211082 \nL 205.220065 137.194016 \nL 209.200743 132.872386 \nL 212.928317 128.315378 \nL 216.260624 123.623896 \nL 219.042813 118.931733 \nL 221.116664 114.402487 \nL 222.333417 110.220908 \nL 222.569224 106.578135 \nL 221.741202 103.651757 \nL 219.821137 101.583493 \nL 216.843787 100.458779 \nL 212.907131 100.293259 \nL 208.163809 101.030021 \nL 202.804957 102.548703 \nL 197.039779 104.684446 \nL 191.074882 107.25197 \nL 185.097132 110.069225 \nL 173.68944 115.845228 \nL 155.22579 125.635819 \nL 145.613873 130.94256 \nL 140.887415 133.79722 \nL 137.200942 136.323203 \nL 134.305306 138.656033 \nL 131.982257 140.880866 \nL 130.047957 143.042778 \nL 126.765271 147.230003 \nL 124.376244 150.226596 \nL 122.653479 152.125562 \nL 120.742001 153.919157 \nL 118.576713 155.57885 \nL 116.097052 157.068297 \nL 113.246884 158.339703 \nL 111.666995 158.874428 \nL 109.976636 159.329093 \nL 108.171483 159.692263 \nL 106.248478 159.950795 \nL 104.206239 160.089682 \nL 102.045545 160.091936 \nL 99.769929 159.938566 \nL 97.386355 159.608638 \nL 94.905979 159.079504 \nL 92.344975 158.327251 \nL 89.725372 157.327418 \nL 87.07584 156.056071 \nL 84.432331 154.491257 \nL 81.838448 152.614918 \nL 79.345374 150.415184 \nL 77.011206 147.889044 \nL 74.899526 145.045144 \nL 73.077094 141.906443 \nL 71.610624 138.512334 \nL 70.562754 134.919754 \nL 69.987508 131.202796 \nL 69.925666 127.450467 \nL 70.40069 123.762486 \nL 71.415754 120.243287 \nL 72.952476 116.994891 \nL 74.971605 114.109466 \nL 77.415674 111.662623 \nL 80.213237 109.708437 \nL 83.284118 108.276775 \nL 86.544906 107.373202 \nL 89.914056 106.98118 \nL 93.316041 107.06597 \nL 96.684326 107.579549 \nL 99.963063 108.465715 \nL 103.107673 109.664782 \nL 106.084551 111.117499 \nL 108.870146 112.767961 \nL 111.449697 114.565551 \nL 113.815798 116.465975 \nL 115.966978 118.431623 \nL 117.906375 120.431409 \nL 119.640552 122.44028 \nL 121.178488 124.438548 \nL 122.530741 126.411147 \nL 123.708765 128.346884 \nL 125.589326 132.078296 \nL 126.912166 135.596374 \nL 127.760128 138.890613 \nL 128.202323 141.965425 \nL 128.292343 144.832914 \nL 128.068127 147.508277 \nL 127.552648 150.006836 \nL 126.754942 152.342087 \nL 125.671158 154.524172 \nL 124.285525 156.558485 \nL 122.571218 158.444015 \nL 120.491292 160.17113 \nL 117.999976 161.718494 \nL 115.044862 163.048742 \nL 113.376096 163.614983 \nL 111.570816 164.102633 \nL 109.622831 164.499636 \nL 107.526886 164.791558 \nL 105.279167 164.9613 \nL 102.87794 164.988838 \nL 100.324326 164.851021 \nL 97.62324 164.521474 \nL 94.784487 163.970679 \nL 91.824001 163.166318 \nL 88.765187 162.073998 \nL 85.640305 160.658453 \nL 82.491715 158.885384 \nL 79.372865 156.724044 \nL 76.348705 154.150576 \nL 73.495258 151.152091 \nL 70.89803 147.731249 \nL 68.64892 143.910914 \nL 66.841575 139.738168 \nL 65.565189 135.286851 \nL 64.897249 130.657677 \nL 64.895954 125.975105 \nL 65.593463 121.380681 \nL 66.991117 117.023128 \nL 69.057657 113.046336 \nL 71.730975 109.577048 \nL 74.923224 106.714163 \nL 78.528475 104.521472 \nL 82.431653 103.024851 \nL 86.517328 102.213898 \nL 90.677227 102.047354 \nL 94.815712 102.460822 \nL 98.85301 103.375319 \nL 102.726389 104.705408 \nL 106.389684 106.365952 \nL 109.811766 108.277106 \nL 112.9744 110.367505 \nL 115.869898 112.575875 \nL 118.498834 114.851425 \nL 120.86799 117.153364 \nL 122.988592 119.449932 \nL 124.874854 121.717159 \nL 126.54282 123.937592 \nL 128.009458 126.099064 \nL 130.407275 130.216433 \nL 132.20055 134.039851 \nL 133.507972 137.570328 \nL 134.430275 140.824707 \nL 135.049335 143.826923 \nL 135.429197 146.603039 \nL 135.618014 149.178597 \nL 135.615252 152.717094 \nL 135.327101 155.927065 \nL 134.777343 158.866576 \nL 133.952411 161.583292 \nL 133.227664 163.29018 \nL 132.338074 164.924951 \nL 131.254166 166.495264 \nL 129.938427 168.006456 \nL 128.344217 169.460561 \nL 126.41449 170.854599 \nL 124.080521 172.177808 \nL 121.260969 173.407275 \nL 117.861937 174.501232 \nL 113.779235 175.389098 \nL 111.447606 175.722397 \nL 108.90493 175.95719 \nL 106.139468 176.069372 \nL 103.141706 176.029491 \nL 99.905627 175.80198 \nL 96.430355 175.34447 \nL 92.722234 174.607306 \nL 88.797369 173.533481 \nL 84.684603 172.059236 \nL 80.428835 170.11573 \nL 76.094425 167.632147 \nL 71.768243 164.54074 \nL 67.561687 160.784173 \nL 63.610774 156.325207 \nL 60.073187 151.15834 \nL 57.121273 145.322172 \nL 54.930368 138.910272 \nL 53.662736 132.077528 \nL 53.448745 125.038716 \nL 54.368255 118.056732 \nL 56.436267 111.420209 \nL 59.596579 105.413161 \nL 63.72572 100.28228 \nL 68.646826 96.208909 \nL 74.150456 93.291767 \nL 80.017747 91.543479 \nL 86.041257 90.900148 \nL 92.040255 91.240048 \nL 97.869235 92.406138 \nL 103.420235 94.227724 \nL 108.620529 96.537908 \nL 113.427639 99.185531 \nL 117.823296 102.041739 \nL 121.80746 105.002208 \nL 125.393083 107.986268 \nL 128.60182 110.934287 \nL 131.460732 113.804244 \nL 133.999826 116.568194 \nL 138.243326 121.717412 \nL 141.57686 126.327354 \nL 144.224443 130.409676 \nL 148.210678 137.154445 \nL 150.635474 141.141493 \nL 152.196982 143.353108 \nL 153.818506 145.23126 \nL 155.575384 146.783676 \nL 157.534658 148.006371 \nL 158.609521 148.489496 \nL 159.757593 148.88312 \nL 160.985821 149.183201 \nL 162.30085 149.38487 \nL 163.708955 149.482404 \nL 165.215933 149.469253 \nL 166.826957 149.338046 \nL 168.546361 149.080667 \nL 170.37738 148.688337 \nL 172.321808 148.151774 \nL 174.37959 147.461405 \nL 176.54833 146.607707 \nL 178.822721 145.581631 \nL 181.1939 144.375166 \nL 183.648745 142.982082 \nL 186.169143 141.398816 \nL 188.731286 139.625536 \nL 191.305027 137.667353 \nL 193.853436 135.535622 \nL 196.332647 133.249239 \nL 198.692101 130.835801 \nL 200.875392 128.332435 \nL 202.821754 125.786065 \nL 204.468354 123.252867 \nL 205.753332 120.79672 \nL 206.619497 118.48651 \nL 207.018442 116.392281 \nL 206.914659 114.580522 \nL 206.289159 113.109009 \nL 205.142079 112.021876 \nL 203.493815 111.345663 \nL 201.384372 111.086976 \nL 198.870949 111.232257 \nL 196.024019 111.749704 \nL 192.922424 112.593003 \nL 189.648124 113.706288 \nL 186.281268 115.029498 \nL 179.557795 118.073421 \nL 173.229081 121.323718 \nL 167.59796 124.514525 \nL 162.807808 127.514419 \nL 158.883973 130.288497 \nL 155.778395 132.854312 \nL 153.405753 135.248082 \nL 151.668446 137.504891 \nL 150.47194 139.649984 \nL 149.733142 141.696839 \nL 149.384224 143.648549 \nL 149.373727 145.500168 \nL 149.666186 147.240902 \nL 150.241072 148.8556 \nL 151.091549 150.325436 \nL 152.223254 151.627827 \nL 153.653234 152.73568 \nL 155.408952 153.616035 \nL 157.527204 154.22821 \nL 160.052596 154.521557 \nL 163.035049 154.433021 \nL 166.525514 153.884977 \nL 168.475754 153.410087 \nL 170.568718 152.784161 \nL 172.807097 151.993369 \nL 175.191384 151.023384 \nL 177.719141 149.859798 \nL 180.384114 148.488707 \nL 183.175235 146.897542 \nL 186.07551 145.076146 \nL 189.060846 143.018172 \nL 192.098883 140.722755 \nL 195.147957 138.196484 \nL 198.156344 135.455525 \nL 201.062018 132.527772 \nL 203.793134 129.454704 \nL 206.269533 126.292641 \nL 208.405443 123.11287 \nL 210.113569 120.000245 \nL 211.310441 117.049833 \nL 211.92276 114.361459 \nL 211.894136 112.032398 \nL 211.191358 110.148872 \nL 209.809191 108.77749 \nL 207.77275 107.958131 \nL 205.136878 107.699546 \nL 201.982333 107.978736 \nL 198.409334 108.744271 \nL 194.529431 109.922975 \nL 190.456935 111.428612 \nL 186.301138 113.171089 \nL 178.117153 117.033567 \nL 170.571815 120.96761 \nL 163.996943 124.66018 \nL 158.507099 127.998449 \nL 154.072637 130.994294 \nL 150.585522 133.713936 \nL 147.906006 136.232273 \nL 145.891048 138.61088 \nL 144.409461 140.891616 \nL 143.348609 143.098199 \nL 142.616164 145.240742 \nL 142.139219 147.320496 \nL 141.862172 149.333723 \nL 141.735559 152.215511 \nL 141.881792 154.912104 \nL 142.260279 157.403456 \nL 142.867129 159.671602 \nL 143.410663 161.050647 \nL 144.082194 162.315727 \nL 144.902773 163.458472 \nL 145.899874 164.467757 \nL 147.108194 165.328496 \nL 148.570669 166.020049 \nL 150.339659 166.514167 \nL 152.478155 166.772258 \nL 155.060737 166.741817 \nL 158.17376 166.351884 \nL 161.913881 165.507536 \nL 166.383316 164.083895 \nL 168.922557 163.106326 \nL 171.679234 161.921114 \nL 174.661369 160.502681 \nL 177.873337 158.823707 \nL 181.314299 156.855868 \nL 184.97627 154.571051 \nL 188.841816 151.943173 \nL 192.88138 148.950753 \nL 197.050389 145.58039 \nL 201.286329 141.831153 \nL 205.506156 137.719838 \nL 209.604612 133.286732 \nL 213.454143 128.601229 \nL 216.907291 123.766198 \nL 219.802411 118.919596 \nL 221.973282 114.231648 \nL 223.262588 109.896041 \nL 223.53838 106.114455 \nL 222.711319 103.075317 \nL 220.749626 100.929737 \nL 217.688249 99.769242 \nL 213.629413 99.610973 \nL 208.733512 100.394404 \nL 203.201783 101.991193 \nL 197.25428 104.225706 \nL 191.107687 106.901146 \nL 184.957035 109.825046 \nL 173.250242 115.781283 \nL 150.760623 127.688466 \nL 142.093834 132.517921 \nL 137.861703 135.157967 \nL 134.550247 137.538422 \nL 131.917522 139.772393 \nL 129.757401 141.924503 \nL 127.03779 145.056753 \nL 122.848866 150.00511 \nL 121.015781 151.841146 \nL 118.97954 153.557264 \nL 116.676166 155.119632 \nL 114.047937 156.485273 \nL 111.044157 157.598273 \nL 109.388276 158.037897 \nL 107.624518 158.385171 \nL 105.750566 158.62736 \nL 103.765826 158.750071 \nL 101.671879 158.737167 \nL 99.473025 158.570779 \nL 97.176893 158.231423 \nL 94.795134 157.698259 \nL 92.344126 156.949568 \nL 89.845706 155.963468 \nL 87.327807 154.718938 \nL 84.824953 153.197218 \nL 82.378478 151.383528 \nL 80.036341 149.269151 \nL 77.852401 146.853774 \nL 75.885015 144.147875 \nL 74.194872 141.17495 \nL 72.842076 137.973186 \nL 71.882571 134.596228 \nL 71.364183 131.112633 \nL 71.322635 127.603732 \nL 71.778091 124.159862 \nL 72.73267 120.875115 \nL 74.169412 117.841178 \nL 76.052903 115.140968 \nL 78.331547 112.842857 \nL 80.941199 110.996399 \nL 83.809661 109.629938 \nL 86.861432 108.750395 \nL 90.02217 108.344997 \nL 93.222403 108.384537 \nL 96.400247 108.82747 \nL 99.503066 109.62432 \nL 102.488158 110.721803 \nL 105.322641 112.066338 \nL 107.982783 113.606733 \nL 110.452957 115.296055 \nL 112.724445 117.092703 \nL 114.79418 118.960887 \nL 116.663566 120.870603 \nL 118.337399 122.797307 \nL 119.822928 124.721383 \nL 121.129063 126.627521 \nL 122.265722 128.504089 \nL 124.07229 132.136692 \nL 125.324839 135.577624 \nL 126.098265 138.811142 \nL 126.455229 141.8368 \nL 126.444006 144.662268 \nL 126.098 147.298585 \nL 125.436163 149.75693 \nL 124.463862 152.046308 \nL 123.173894 154.171629 \nL 121.547589 156.131761 \nL 119.556069 157.917265 \nL 117.161905 159.507406 \nL 114.321655 160.866225 \nL 112.720002 161.442238 \nL 110.990022 161.937354 \nL 109.126884 162.340293 \nL 107.126711 162.637652 \nL 104.987055 162.813692 \nL 102.707472 162.850139 \nL 100.290216 162.726059 \nL 97.741063 162.417845 \nL 95.070258 161.899349 \nL 92.293562 161.142259 \nL 89.433372 160.116805 \nL 86.519834 158.792876 \nL 83.591821 157.14166 \nL 80.697671 155.13785 \nL 77.895407 152.762491 \nL 75.252265 150.006342 \nL 72.84326 146.873611 \nL 70.748559 143.385672 \nL 69.049609 139.584255 \nL 67.824068 135.533428 \nL 67.139889 131.319644 \nL 67.049143 127.049312 \nL 67.582448 122.843549 \nL 68.744849 118.830408 \nL 70.514019 115.135317 \nL 72.841172 111.871067 \nL 75.6547 109.128832 \nL 78.866008 106.971626 \nL 82.376589 105.431107 \nL 86.085332 104.507935 \nL 89.895058 104.175312 \nL 93.717618 104.384669 \nL 97.477277 105.072472 \nL 101.112353 106.167013 \nL 104.575435 107.594396 \nL 107.832528 109.283228 \nL 110.861543 111.167932 \nL 113.650447 113.190691 \nL 116.195361 115.302274 \nL 118.498749 117.462042 \nL 120.567809 119.637413 \nL 122.413101 121.802986 \nL 124.047409 123.939538 \nL 125.484831 126.032999 \nL 126.740069 128.073493 \nL 128.762668 131.97211 \nL 130.227374 135.61105 \nL 131.23333 138.990942 \nL 131.863035 142.125788 \nL 132.181545 145.035839 \nL 132.237207 147.743374 \nL 132.063086 150.270337 \nL 131.678568 152.637034 \nL 131.090821 154.861417 \nL 130.295937 156.958652 \nL 129.279689 158.940745 \nL 128.017914 160.815985 \nL 126.476556 162.588045 \nL 124.611515 164.254491 \nL 122.368491 165.804393 \nL 119.68321 167.214669 \nL 116.482631 168.444647 \nL 114.664611 168.972654 \nL 112.688175 169.428313 \nL 110.543761 169.797678 \nL 108.222637 170.063739 \nL 105.717509 170.20596 \nL 103.02331 170.199805 \nL 100.138202 170.016308 \nL 97.064835 169.621755 \nL 93.811867 168.977554 \nL 90.395753 168.040469 \nL 86.842776 166.763336 \nL 83.191187 165.096533 \nL 79.493316 162.990404 \nL 75.817319 160.398887 \nL 72.248192 157.28448 \nL 68.887466 153.624542 \nL 65.851034 149.418588 \nL 63.264553 144.695883 \nL 61.256096 139.522057 \nL 59.946243 134.003196 \nL 59.436393 128.285573 \nL 59.796866 122.549647 \nL 61.056864 116.997883 \nL 63.198426 111.837367 \nL 66.156023 107.259726 \nL 69.822217 103.42202 \nL 74.058454 100.432141 \nL 78.708905 98.341439 \nL 83.614774 97.145301 \nL 88.626734 96.79073 \nL 93.613965 97.18847 \nL 98.469314 98.226947 \nL 103.110869 99.785439 \nL 107.480851 101.7449 \nL 111.542795 103.995616 \nL 115.277938 106.441792 \nL 118.681449 109.003446 \nL 121.75896 111.616414 \nL 124.523579 114.231122 \nL 126.993453 116.810668 \nL 129.189852 119.328692 \nL 131.135715 121.767284 \nL 134.369774 126.36581 \nL 136.878602 130.567632 \nL 138.828864 134.377907 \nL 140.364869 137.822224 \nL 142.151116 142.374525 \nL 144.937266 149.642355 \nL 145.869474 151.603016 \nL 146.887992 153.354077 \nL 148.038122 154.898736 \nL 149.365335 156.233174 \nL 150.917498 157.345745 \nL 152.746724 158.215759 \nL 154.910752 158.811693 \nL 157.47363 159.088837 \nL 160.505264 158.986378 \nL 164.079044 158.424162 \nL 166.091852 157.939586 \nL 168.266286 157.29987 \nL 170.6092 156.488597 \nL 173.125591 155.488083 \nL 175.8178 154.279676 \nL 178.684527 152.844258 \nL 181.719636 151.163025 \nL 184.910753 149.218579 \nL 188.237683 146.99646 \nL 191.670691 144.487101 \nL 195.168784 141.688326 \nL 198.678129 138.608253 \nL 202.130906 135.268524 \nL 205.444943 131.707575 \nL 208.52448 127.983456 \nL 211.262603 124.175556 \nL 213.545596 120.38448 \nL 215.259463 116.729247 \nL 216.298419 113.341192 \nL 216.574675 110.354511 \nL 216.028385 107.894052 \nL 214.636135 106.061908 \nL 212.41628 104.925138 \nL 209.429806 104.507056 \nL 205.776059 104.784293 \nL 201.583936 105.690425 \nL 196.999918 107.125502 \nL 192.175144 108.969418 \nL 187.253572 111.096331 \nL 182.362826 113.387466 \nL 173.071963 118.074652 \nL 164.860647 122.476978 \nL 157.95263 126.36853 \nL 152.342031 129.745359 \nL 147.896981 132.707045 \nL 144.433572 135.375253 \nL 141.759669 137.853431 \nL 139.697188 140.21436 \nL 138.091291 142.501987 \nL 136.812314 144.738432 \nL 135.279862 148.011936 \nL 131.729776 156.195747 \nL 130.673665 158.093003 \nL 129.458896 159.923249 \nL 128.038956 161.682378 \nL 126.363156 163.364125 \nL 124.374838 164.957918 \nL 122.010036 166.445795 \nL 119.196932 167.797995 \nL 115.856706 168.966707 \nL 113.963121 169.460305 \nL 111.906876 169.877408 \nL 109.678326 170.202633 \nL 107.268914 170.417331 \nL 104.671834 170.499102 \nL 101.882917 170.421316 \nL 98.901743 170.152703 \nL 95.733019 169.657079 \nL 92.388236 168.893338 \nL 88.887598 167.815835 \nL 85.262148 166.375401 \nL 81.55598 164.52117 \nL 77.828285 162.203524 \nL 74.154908 159.378315 \nL 70.628928 156.012499 \nL 67.359654 152.091053 \nL 64.469477 147.624686 \nL 62.088034 142.65738 \nL 60.343589 137.272336 \nL 59.351997 131.594546 \nL 59.204446 125.788231 \nL 59.955779 120.048053 \nL 61.615712 114.584172 \nL 64.144964 109.602885 \nL 67.457519 105.286032 \nL 71.42889 101.772974 \nL 75.908826 99.148651 \nL 80.736018 97.439579 \nL 85.752136 96.617855 \nL 90.813137 96.611337 \nL 95.796714 97.317226 \nL 100.605824 98.616281 \nL 105.168918 100.385345 \nL 109.437861 102.506999 \nL 113.384563 104.875896 \nL 116.99714 107.402092 \nL 120.276166 110.011999 \nL 123.231344 112.6477 \nL 125.878719 115.265278 \nL 128.23845 117.832714 \nL 130.333102 120.327687 \nL 132.186359 122.735537 \nL 135.263662 127.259023 \nL 137.652921 131.378196 \nL 139.517992 135.105413 \nL 141.633992 140.026018 \nL 145.623657 149.966394 \nL 146.62333 151.855673 \nL 147.729517 153.530939 \nL 148.988978 154.99249 \nL 150.449341 156.233005 \nL 152.161207 157.236543 \nL 154.179797 157.977076 \nL 156.56598 158.416458 \nL 159.386359 158.501842 \nL 162.711773 158.162687 \nL 166.613226 157.307842 \nL 168.800292 156.652442 \nL 171.153648 155.823847 \nL 173.677504 154.804664 \nL 176.373261 153.576681 \nL 179.238512 152.121422 \nL 182.265844 150.42096 \nL 185.441447 148.459073 \nL 188.743557 146.222798 \nL 192.140808 143.704438 \nL 195.590589 140.904035 \nL 199.037629 137.832239 \nL 202.413025 134.513426 \nL 205.634111 130.988746 \nL 208.60552 127.31865 \nL 211.221858 123.584214 \nL 213.372318 119.886554 \nL 214.9473 116.343542 \nL 215.846831 113.083383 \nL 215.990039 110.235039 \nL 215.324511 107.91628 \nL 213.833999 106.220944 \nL 211.54286 105.207672 \nL 208.516112 104.892392 \nL 204.854659 105.246463 \nL 200.686318 106.201008 \nL 196.154194 107.656628 \nL 191.404351 109.496376 \nL 186.574784 111.599384 \nL 177.141191 116.15971 \nL 168.558973 120.654165 \nL 161.183726 124.728536 \nL 155.100395 128.293762 \nL 150.228449 131.409575 \nL 146.407164 134.188363 \nL 143.450623 136.739423 \nL 141.178034 139.146256 \nL 139.427951 141.4631 \nL 138.063097 143.719951 \nL 136.97015 145.929876 \nL 135.644096 149.161259 \nL 132.895851 156.247022 \nL 131.48019 159.058969 \nL 130.354239 160.853216 \nL 129.032501 162.580929 \nL 127.467079 164.238473 \nL 125.603629 165.818645 \nL 123.379872 167.307984 \nL 120.724657 168.682842 \nL 117.558089 169.903718 \nL 113.793642 170.907205 \nL 111.659651 171.298416 \nL 109.34385 171.594896 \nL 106.837086 171.776512 \nL 104.132123 171.818997 \nL 101.224629 171.693411 \nL 98.11441 171.365686 \nL 94.806971 170.796329 \nL 91.315369 169.94042 \nL 87.662379 168.748089 \nL 83.882877 167.165701 \nL 80.026304 165.138028 \nL 76.158898 162.611696 \nL 72.365311 159.540124 \nL 68.74901 155.890094 \nL 65.430807 151.649673 \nL 62.544785 146.836945 \nL 60.231154 141.508226 \nL 58.625941 135.764097 \nL 57.848203 129.751073 \nL 57.986291 123.657025 \nL 59.085489 117.699368 \nL 61.13962 112.106594 \nL 64.088823 107.095723 \nL 67.824423 102.849681 \nL 72.200167 99.499056 \nL 77.047609 97.111763 \nL 82.192576 95.692084 \nL 87.469827 95.188192 \nL 92.733936 95.50556 \nL 97.865613 96.522837 \nL 102.773803 98.107211 \nL 107.394533 100.127067 \nL 111.687721 102.46103 \nL 115.63303 105.003345 \nL 119.225559 107.666093 \nL 122.471892 110.379219 \nL 125.386722 113.089016 \nL 127.990133 115.755943 \nL 130.305489 118.352135 \nL 132.357849 120.85901 \nL 135.775674 125.564376 \nL 138.441767 129.836081 \nL 140.535966 133.683815 \nL 142.938399 138.727741 \nL 146.502818 146.622021 \nL 147.635416 148.703704 \nL 148.849031 150.537577 \nL 150.199212 152.128126 \nL 151.739512 153.471236 \nL 153.523987 154.553293 \nL 155.609026 155.349941 \nL 158.054368 155.82436 \nL 160.922928 155.925149 \nL 162.536006 155.81482 \nL 164.278807 155.584063 \nL 166.158748 155.221415 \nL 168.182507 154.714216 \nL 170.355606 154.048675 \nL 172.681884 153.210023 \nL 175.162855 152.18279 \nL 177.796893 150.951232 \nL 180.578284 149.499967 \nL 183.49611 147.814874 \nL 186.53301 145.884286 \nL 189.663841 143.700532 \nL 192.854342 141.261847 \nL 196.059917 138.574584 \nL 199.224725 135.655695 \nL 202.28134 132.53521 \nL 205.151244 129.258435 \nL 207.746479 125.887445 \nL 209.972737 122.50129 \nL 211.734011 119.194371 \nL 212.938789 116.072506 \nL 213.507385 113.246529 \nL 213.379666 110.823668 \nL 212.522191 108.897612 \nL 210.933486 107.538623 \nL 208.646387 106.78555 \nL 205.726753 106.641322 \nL 202.268509 107.072975 \nL 198.385715 108.016374 \nL 194.20294 109.38467 \nL 189.845484 111.078778 \nL 185.430803 112.997972 \nL 176.824708 117.15153 \nL 168.987769 121.278656 \nL 162.23169 125.078464 \nL 156.639836 128.465215 \nL 152.151958 131.477316 \nL 148.63497 134.200369 \nL 145.930384 136.72098 \nL 143.881705 139.106699 \nL 142.348119 141.401882 \nL 141.209806 143.631073 \nL 140.368598 145.804629 \nL 139.746207 147.92415 \nL 139.092951 150.995123 \nL 138.52606 154.86361 \nL 137.324081 164.040331 \nL 136.680771 166.87959 \nL 136.023598 168.866632 \nL 135.150741 170.752611 \nL 133.981973 172.557972 \nL 132.986302 173.726731 \nL 131.770429 174.873687 \nL 130.283671 176.002142 \nL 128.463943 177.112026 \nL 126.235621 178.197257 \nL 123.507462 179.241473 \nL 120.171135 180.211229 \nL 116.101452 181.045396 \nL 111.160383 181.639061 \nL 108.319044 181.795367 \nL 105.20868 181.820161 \nL 101.815886 181.676274 \nL 98.131602 181.318059 \nL 94.15343 180.690278 \nL 89.888602 179.727247 \nL 85.357699 178.35259 \nL 80.599068 176.480027 \nL 75.673816 174.015846 \nL 70.6709 170.863771 \nL 65.711605 166.933057 \nL 60.95215 162.150361 \nL 56.582774 156.475499 \nL 52.821469 149.919933 \nL 49.900665 142.565468 \nL 48.04636 134.578598 \nL 47.451161 126.214857 \nL 48.245343 117.807869 \nL 50.472225 109.740594 \nL 54.074908 102.401495 \nL 58.899119 96.134136 \nL 64.712622 91.192145 \nL 71.236484 87.710808 \nL 78.180353 85.701148 \nL 85.273642 85.065362 \nL 92.287232 85.626631 \nL 99.044052 87.164107 \nL 105.420015 89.445086 \nL 111.338454 92.249487 \nL 116.761326 95.385081 \nL 121.679753 98.694456 \nL 126.10542 102.055748 \nL 130.063548 105.379522 \nL 133.58755 108.603716 \nL 136.71518 111.688062 \nL 141.938963 117.354289 \nL 146.042951 122.311313 \nL 150.701124 128.487286 \nL 155.279089 134.705738 \nL 157.251986 137.083075 \nL 159.184575 139.027786 \nL 161.174171 140.563371 \nL 163.298903 141.699506 \nL 164.431853 142.117263 \nL 165.620582 142.433051 \nL 166.870459 142.644706 \nL 168.185879 142.749475 \nL 169.570177 142.744102 \nL 171.025524 142.624941 \nL 174.151249 142.029594 \nL 177.550339 140.932786 \nL 181.177969 139.311116 \nL 184.94807 137.159965 \nL 188.724602 134.508612 \nL 190.557733 133.01801 \nL 192.316616 131.437366 \nL 193.9694 129.787178 \nL 195.482018 128.092569 \nL 196.819159 126.383104 \nL 197.945526 124.692246 \nL 198.827377 123.056411 \nL 199.434249 121.513599 \nL 199.74076 120.10166 \nL 199.728377 118.856294 \nL 199.386882 117.808961 \nL 198.715492 116.984912 \nL 197.723365 116.401553 \nL 196.429474 116.067377 \nL 194.861795 115.981607 \nL 193.055888 116.134588 \nL 191.053006 116.508877 \nL 188.897922 117.080901 \nL 186.636707 117.822934 \nL 181.97439 119.697694 \nL 177.389432 121.902614 \nL 173.130403 124.247023 \nL 169.360365 126.598564 \nL 166.16535 128.879956 \nL 163.57234 131.054519 \nL 161.569041 133.109609 \nL 160.121054 135.043078 \nL 159.184915 136.85438 \nL 158.717 138.539696 \nL 158.679052 140.089843 \nL 159.041156 141.489699 \nL 159.782925 142.718294 \nL 160.893409 143.748969 \nL 162.370058 144.549399 \nL 164.216838 145.081464 \nL 166.441404 145.30115 \nL 169.051117 145.158768 \nL 172.047482 144.600151 \nL 175.418594 143.569536 \nL 179.129243 142.015291 \nL 183.108775 139.899656 \nL 187.237735 137.213506 \nL 189.304539 135.666229 \nL 191.335946 133.995977 \nL 193.299016 132.218788 \nL 195.156998 130.356279 \nL 196.870017 128.435929 \nL 198.396144 126.491 \nL 199.692872 124.560032 \nL 200.718971 122.685776 \nL 201.436635 120.913564 \nL 201.81382 119.28916 \nL 201.826531 117.856161 \nL 201.460847 116.653258 \nL 200.714427 115.711558 \nL 199.597288 115.052378 \nL 198.131705 114.685742 \nL 196.351177 114.609865 \nL 194.298594 114.811709 \nL 192.023736 115.268441 \nL 189.580441 115.949744 \nL 187.023717 116.820476 \nL 181.780292 118.981959 \nL 176.667742 121.472975 \nL 171.962749 124.072615 \nL 167.835912 126.637682 \nL 164.366544 129.093753 \nL 161.567295 131.413801 \nL 159.408994 133.596394 \nL 157.84096 135.649335 \nL 156.805607 137.579789 \nL 156.24792 139.389541 \nL 156.121005 141.073443 \nL 156.388885 142.619479 \nL 157.02748 144.009322 \nL 158.024422 145.218793 \nL 159.378099 146.217944 \nL 161.09609 146.970748 \nL 163.192934 147.434471 \nL 165.687005 147.55906 \nL 168.596056 147.286912 \nL 171.930839 146.553767 \nL 175.686105 145.291765 \nL 179.828397 143.436157 \nL 182.022748 142.269218 \nL 184.280545 140.937454 \nL 186.58241 139.440208 \nL 188.904062 137.780585 \nL 191.215929 135.96641 \nL 193.48296 134.011202 \nL 195.664726 131.935083 \nL 197.715904 129.765486 \nL 199.587218 127.537521 \nL 201.226961 125.293808 \nL 202.583053 123.083677 \nL 203.605633 120.961538 \nL 204.250071 118.984444 \nL 204.480107 117.208916 \nL 204.270891 115.68724 \nL 203.611481 114.463643 \nL 202.506493 113.570818 \nL 200.976583 113.027269 \nL 199.057642 112.835947 \nL 196.798724 112.984392 \nL 194.258937 113.446365 \nL 191.503689 114.184726 \nL 188.600727 115.155094 \nL 185.616425 116.309793 \nL 179.644428 118.986207 \nL 173.992823 121.887245 \nL 168.929848 124.785921 \nL 164.594424 127.558544 \nL 161.025848 130.159384 \nL 158.198246 132.588304 \nL 156.050136 134.864234 \nL 154.506018 137.008388 \nL 153.490428 139.035889 \nL 152.936168 140.953038 \nL 152.78853 142.757466 \nL 153.006959 144.439412 \nL 153.565217 145.98301 \nL 154.450723 147.367109 \nL 155.663481 148.565438 \nL 157.214757 149.546175 \nL 159.125492 150.270917 \nL 161.424249 150.693295 \nL 164.144298 150.757493 \nL 167.319233 150.397093 \nL 170.976239 149.535011 \nL 172.989863 148.889337 \nL 175.125984 148.085864 \nL 177.380953 147.113724 \nL 179.747973 145.962735 \nL 182.216359 144.624048 \nL 184.770742 143.090984 \nL 187.390237 141.360041 \nL 190.04767 139.432113 \nL 192.708897 137.313846 \nL 195.332362 135.019086 \nL 197.869007 132.570315 \nL 200.262711 129.999844 \nL 202.451374 127.350585 \nL 204.368826 124.676133 \nL 205.947609 122.039821 \nL 207.122584 119.512607 \nL 207.835219 117.169611 \nL 208.038185 115.085452 \nL 207.69978 113.328732 \nL 206.807591 111.956284 \nL 205.370768 111.008003 \nL 203.420485 110.503092 \nL 201.008367 110.438414 \nL 198.203002 110.789341 \nL 195.085017 111.512873 \nL 191.741348 112.552625 \nL 188.259512 113.844681 \nL 184.722542 115.323514 \nL 177.770677 118.600521 \nL 171.34455 121.986324 \nL 165.712769 125.239912 \nL 160.98249 128.259168 \nL 157.148603 131.03295 \nL 154.140727 133.594092 \nL 151.858748 135.986803 \nL 150.196091 138.249294 \nL 149.053275 140.40737 \nL 148.344809 142.474109 \nL 148.001916 144.452202 \nL 147.97287 146.336751 \nL 148.22213 148.117661 \nL 148.728983 149.781215 \nL 149.486147 151.310752 \nL 150.49854 152.686642 \nL 151.782307 153.885558 \nL 153.364062 154.879193 \nL 155.280223 155.632464 \nL 157.576172 156.101231 \nL 160.304837 156.22964 \nL 163.524013 155.947277 \nL 167.291449 155.166701 \nL 169.396786 154.557293 \nL 171.656237 153.782433 \nL 174.072261 152.82652 \nL 176.64458 151.673493 \nL 179.36929 150.307362 \nL 182.237788 148.712985 \nL 185.235573 146.877129 \nL 188.340915 144.789877 \nL 191.523489 142.44637 \nL 194.743058 139.848942 \nL 197.948384 137.009518 \nL 201.076593 133.952153 \nL 204.053236 130.715447 \nL 206.793417 127.354446 \nL 209.20424 123.94149 \nL 211.188827 120.565462 \nL 212.651925 117.328872 \nL 213.5069 114.342441 \nL 213.683533 111.717264 \nL 213.135645 109.555153 \nL 211.847415 107.938379 \nL 209.83716 106.920495 \nL 207.157641 106.520084 \nL 203.892573 106.718743 \nL 200.149723 107.463941 \nL 196.051687 108.676149 \nL 191.725833 110.258916 \nL 187.294967 112.109774 \nL 182.869847 114.13022 \nL 174.392562 118.348237 \nL 166.812353 122.419271 \nL 160.365999 126.113042 \nL 155.084989 129.390766 \nL 150.87954 132.313101 \nL 147.603304 134.970992 \nL 145.094583 137.447828 \nL 143.199124 139.80507 \nL 141.780829 142.08118 \nL 140.725339 144.296164 \nL 139.939715 146.45742 \nL 139.11045 149.597449 \nL 138.388017 153.572609 \nL 136.87319 163.088864 \nL 136.299457 165.335572 \nL 135.556613 167.456378 \nL 134.576775 169.469626 \nL 133.749278 170.761709 \nL 132.744514 172.02028 \nL 131.521952 173.25006 \nL 130.032051 174.453928 \nL 128.214373 175.631308 \nL 125.995576 176.775571 \nL 123.287524 177.869858 \nL 119.986039 178.880501 \nL 115.971345 179.746852 \nL 113.655748 180.095957 \nL 111.112235 180.365989 \nL 108.32448 180.533875 \nL 105.277538 180.570742 \nL 101.959063 180.440847 \nL 98.360945 180.100489 \nL 94.481499 179.496994 \nL 90.328235 178.567981 \nL 85.921328 177.241192 \nL 81.297718 175.435293 \nL 76.515683 173.062227 \nL 71.659534 170.031751 \nL 66.843693 166.258909 \nL 62.215068 161.674901 \nL 57.952271 156.241456 \nL 54.259992 149.967702 \nL 51.357051 142.927272 \nL 49.457614 135.271705 \nL 48.746734 127.235108 \nL 49.353786 119.125303 \nL 51.32927 111.298939 \nL 54.631262 104.122588 \nL 59.126153 97.926817 \nL 64.604518 92.963855 \nL 70.80856 89.378989 \nL 77.464318 87.201905 \nL 84.311355 86.357863 \nL 91.124477 86.693127 \nL 97.725495 88.006654 \nL 103.985838 90.080486 \nL 109.822607 92.70386 \nL 115.191055 95.68909 \nL 120.075947 98.879611 \nL 124.483395 102.15196 \nL 128.433992 105.413686 \nL 131.957445 108.599101 \nL 135.088615 111.664233 \nL 137.86473 114.581905 \nL 142.501765 119.924653 \nL 146.156218 124.598863 \nL 150.347015 130.446127 \nL 154.581144 136.381597 \nL 156.466025 138.667144 \nL 158.351644 140.543632 \nL 160.32819 142.028261 \nL 162.469542 143.12486 \nL 163.621303 143.525342 \nL 164.835794 143.824543 \nL 166.118502 144.019528 \nL 167.474047 144.10673 \nL 168.90608 144.082028 \nL 170.417152 143.940838 \nL 172.008539 143.678254 \nL 175.429627 142.768777 \nL 179.144598 141.315906 \nL 183.090025 139.293987 \nL 185.115923 138.06848 \nL 187.152317 136.704294 \nL 189.175517 135.208948 \nL 191.157743 133.594157 \nL 193.067252 131.876442 \nL 194.868731 130.077572 \nL 196.524011 128.224803 \nL 197.993124 126.350747 \nL 199.235746 124.492835 \nL 200.212969 122.692268 \nL 200.889362 120.99244 \nL 201.235128 119.436887 \nL 201.228251 118.066875 \nL 200.85634 116.918823 \nL 200.118003 116.021872 \nL 199.023507 115.395863 \nL 197.594636 115.049996 \nL 195.863701 114.982417 \nL 193.871791 115.180717 \nL 191.666448 115.62337 \nL 189.299018 116.281816 \nL 186.821957 117.122963 \nL 181.739844 119.213481 \nL 176.778719 121.62982 \nL 172.205778 124.160809 \nL 168.188074 126.667397 \nL 164.805708 129.075133 \nL 162.074613 131.354719 \nL 159.969926 133.50175 \nL 158.445345 135.521275 \nL 157.447231 137.418243 \nL 156.92388 139.192761 \nL 156.831024 140.838425 \nL 157.134653 142.342213 \nL 157.812038 143.684894 \nL 158.851566 144.841383 \nL 160.251753 145.780802 \nL 162.019579 146.466183 \nL 164.168069 146.853974 \nL 166.712888 146.893622 \nL 169.667502 146.52775 \nL 173.036334 145.693629 \nL 176.805317 144.327098 \nL 180.929392 142.370353 \nL 183.098318 141.157462 \nL 185.317258 139.785252 \nL 187.564867 138.255299 \nL 189.814987 136.573257 \nL 192.036376 134.749751 \nL 194.192708 132.801241 \nL 196.24286 130.750762 \nL 198.14161 128.62839 \nL 199.840824 126.471322 \nL 201.291123 124.323388 \nL 202.444094 122.233905 \nL 203.2549 120.255774 \nL 203.685147 118.442856 \nL 203.705774 116.846784 \nL 203.299631 115.513458 \nL 202.463432 114.479646 \nL 201.208764 113.77013 \nL 199.561977 113.395799 \nL 197.562871 113.353037 \nL 195.262348 113.624467 \nL 192.719218 114.180978 \nL 189.996631 114.984734 \nL 187.158476 115.992668 \nL 181.375959 118.443378 \nL 175.791379 121.205864 \nL 170.702243 124.034189 \nL 166.279869 126.780238 \nL 162.591841 129.377114 \nL 159.633601 131.810173 \nL 157.357987 134.090257 \nL 155.69807 136.235096 \nL 154.582735 138.259056 \nL 153.946297 140.168903 \nL 153.733772 141.963085 \nL 153.903288 143.632484 \nL 154.426723 145.161559 \nL 155.289317 146.529149 \nL 156.488716 147.708721 \nL 158.033637 148.668046 \nL 159.94218 149.368347 \nL 162.239594 149.763106 \nL 164.955106 149.796844 \nL 168.117245 149.404344 \nL 171.746825 148.51113 \nL 173.738849 147.851605 \nL 175.84664 147.036464 \nL 178.065348 146.055863 \nL 180.386921 144.900865 \nL 182.799409 143.564095 \nL 185.286228 142.040563 \nL 187.825415 140.32866 \nL 190.388971 138.431301 \nL 192.942312 136.357196 \nL 195.443987 134.122143 \nL 197.845764 131.750253 \nL 200.093237 129.274918 \nL 202.127055 126.739282 \nL 203.884914 124.196048 \nL 205.304317 121.706284 \nL 206.326032 119.337161 \nL 206.898087 117.158533 \nL 206.979904 115.238498 \nL 206.54615 113.638371 \nL 205.589767 112.407602 \nL 204.123667 111.579399 \nL 202.180755 111.167746 \nL 199.812144 111.166392 \nL 197.083757 111.549957 \nL 194.071732 112.277067 \nL 190.857243 113.294941 \nL 187.521393 114.544645 \nL 184.140774 115.966279 \nL 177.509744 119.106268 \nL 171.386537 122.353876 \nL 166.019868 125.488596 \nL 161.510962 128.414295 \nL 157.857772 131.116793 \nL 154.997505 133.62217 \nL 152.839158 135.967535 \nL 151.285169 138.185189 \nL 150.244259 140.29651 \nL 149.638139 142.311369 \nL 149.404321 144.229978 \nL 149.496654 146.045258 \nL 149.884674 147.744825 \nL 150.552458 149.312233 \nL 151.497371 150.727365 \nL 152.728899 151.966166 \nL 154.267606 152.999632 \nL 156.144133 153.792318 \nL 158.397981 154.300323 \nL 161.075719 154.468974 \nL 164.227951 154.230424 \nL 167.904136 153.501759 \nL 169.951825 152.923471 \nL 172.143944 152.184711 \nL 174.481666 151.271323 \nL 176.963464 150.168932 \nL 179.584274 148.863487 \nL 182.334543 147.342002 \nL 185.199142 145.59356 \nL 188.156216 143.610604 \nL 191.176011 141.390528 \nL 194.219795 138.937549 \nL 197.239004 136.264789 \nL 200.174834 133.396436 \nL 202.958479 130.36969 \nL 205.512309 127.236246 \nL 207.752208 124.06277 \nL 209.591202 120.93002 \nL 210.944454 117.930096 \nL 211.735307 115.161634 \nL 211.90196 112.723042 \nL 211.403919 110.704306 \nL 210.227305 109.178364 \nL 208.388027 108.193472 \nL 205.932067 107.767891 \nL 202.932633 107.888081 \nL 199.484456 108.51087 \nL 195.69607 109.569172 \nL 191.681314 110.980193 \nL 187.551254 112.654559 \nL 183.407528 114.504846 \nL 175.412862 118.431338 \nL 168.197505 122.296319 \nL 162.009787 125.864029 \nL 156.906156 129.073714 \nL 152.823904 131.962302 \nL 149.640506 134.602187 \nL 147.213371 137.064627 \nL 145.403005 139.404176 \nL 144.084741 141.655758 \nL 143.153413 143.837673 \nL 142.524009 145.956365 \nL 142.130266 148.010899 \nL 141.92236 149.996429 \nL 141.883671 152.831135 \nL 142.110769 155.473803 \nL 142.57421 157.904243 \nL 143.28006 160.103521 \nL 143.902307 161.431101 \nL 144.666453 162.6389 \nL 145.597165 163.716778 \nL 146.726062 164.651149 \nL 148.092616 165.423546 \nL 149.745258 166.00874 \nL 151.742548 166.372299 \nL 154.154231 166.467358 \nL 157.061722 166.230474 \nL 160.557333 165.576526 \nL 164.740888 164.392906 \nL 169.711602 162.534032 \nL 172.519212 161.296087 \nL 175.551792 159.818731 \nL 178.812213 158.074636 \nL 182.297668 156.035814 \nL 185.997653 153.67497 \nL 189.891591 150.967499 \nL 193.946136 147.894267 \nL 198.112297 144.445289 \nL 202.322617 140.624297 \nL 206.488855 136.454082 \nL 210.5007 131.98218 \nL 214.226327 127.286128 \nL 217.515611 122.477128 \nL 220.206769 117.700543 \nL 222.136897 113.131617 \nL 223.156153 108.965016 \nL 223.144311 105.397993 \nL 222.027397 102.608455 \nL 219.791111 100.731417 \nL 216.487756 99.838699 \nL 212.234269 99.927091 \nL 207.200968 100.918574 \nL 201.593013 102.672956 \nL 195.628383 105.009921 \nL 189.516801 107.734922 \nL 183.443225 110.663107 \nL 171.971964 116.535736 \nL 150.152295 128.126364 \nL 144.243313 131.409976 \nL 139.620898 134.194642 \nL 136.01332 136.665764 \nL 133.169068 138.955557 \nL 130.870191 141.144637 \nL 128.93424 143.273865 \nL 122.185341 151.25566 \nL 120.266297 153.042028 \nL 118.106743 154.693467 \nL 115.645896 156.172574 \nL 112.828748 157.430927 \nL 109.608065 158.404701 \nL 107.834906 158.759472 \nL 105.949345 159.009624 \nL 103.950504 159.140618 \nL 101.839675 159.136113 \nL 99.620857 158.977962 \nL 97.301395 158.646291 \nL 94.892685 158.119768 \nL 92.410922 157.376049 \nL 89.877847 156.392496 \nL 87.321451 155.147218 \nL 84.776496 153.620444 \nL 82.284799 151.796326 \nL 79.895085 149.665063 \nL 77.662297 147.225315 \nL 75.646202 144.486731 \nL 73.909208 141.472283 \nL 72.513378 138.220105 \nL 71.516738 134.784386 \nL 70.969158 131.234879 \nL 70.908192 127.654818 \nL 71.355416 124.137027 \nL 72.313776 120.778532 \nL 73.766441 117.67414 \nL 75.677398 114.909722 \nL 77.993793 112.55622 \nL 80.649692 110.665062 \nL 83.570768 109.265674 \nL 86.679285 108.365198 \nL 89.898724 107.950339 \nL 93.157682 107.990726 \nL 96.392668 108.443272 \nL 99.54982 109.256734 \nL 102.585583 110.376042 \nL 105.46657 111.745929 \nL 108.168838 113.313741 \nL 110.676782 115.031314 \nL 112.981868 116.856084 \nL 115.081344 118.751554 \nL 116.976998 120.687226 \nL 118.674056 122.638246 \nL 120.180208 124.584832 \nL 121.504807 126.511624 \nL 122.658201 128.407009 \nL 124.494641 132.072112 \nL 125.774645 135.539605 \nL 126.575573 138.794994 \nL 126.962152 141.839114 \nL 126.984389 144.680893 \nL 126.677171 147.332605 \nL 126.06075 149.806706 \nL 125.141638 152.113624 \nL 123.91363 154.259932 \nL 122.358845 156.246581 \nL 120.448851 158.066796 \nL 118.14608 159.703329 \nL 115.405955 161.124733 \nL 113.856859 161.73986 \nL 112.18041 162.280403 \nL 110.371023 162.736007 \nL 108.423839 163.094259 \nL 106.335138 163.340453 \nL 104.102877 163.457352 \nL 101.727327 163.425011 \nL 99.211858 163.220659 \nL 96.563842 162.818726 \nL 93.795697 162.191059 \nL 90.926033 161.307425 \nL 87.98083 160.136394 \nL 84.994608 158.646707 \nL 82.011377 156.809221 \nL 79.085246 154.599511 \nL 76.280419 152.001116 \nL 73.67033 149.009292 \nL 71.335647 145.635041 \nL 69.360942 141.908924 \nL 67.830057 137.884014 \nL 66.820263 133.637251 \nL 66.395784 129.268411 \nL 66.601403 124.896241 \nL 67.457125 120.651589 \nL 68.954855 116.668143 \nL 71.057798 113.071832 \nL 73.702876 109.970506 \nL 76.805814 107.44545 \nL 80.268137 105.546119 \nL 83.984959 104.288641 \nL 87.852409 103.658045 \nL 91.77385 103.613339 \nL 95.664311 104.09438 \nL 99.453039 105.029222 \nL 103.084354 106.340961 \nL 106.517171 107.953365 \nL 109.723641 109.795061 \nL 112.687288 111.802166 \nL 115.400993 113.919644 \nL 117.865018 116.101618 \nL 120.085206 118.310982 \nL 122.071439 120.518584 \nL 123.836346 122.702193 \nL 125.394255 124.845394 \nL 126.76038 126.936539 \nL 128.978916 130.934325 \nL 130.611038 134.664787 \nL 131.763547 138.125863 \nL 132.526556 141.330951 \nL 132.972344 144.300811 \nL 133.155994 147.058785 \nL 133.1169 149.628138 \nL 132.880531 152.030664 \nL 132.460095 154.285971 \nL 131.857898 156.411174 \nL 131.066316 158.420716 \nL 130.068339 160.326142 \nL 128.837721 162.135692 \nL 127.338784 163.853509 \nL 125.525994 165.478284 \nL 123.34349 167.001012 \nL 120.724888 168.401492 \nL 117.593924 169.643064 \nL 113.866888 170.664926 \nL 111.752975 171.065298 \nL 109.458448 171.371429 \nL 106.974299 171.56362 \nL 104.293367 171.618098 \nL 101.411306 171.506491 \nL 98.327795 171.195377 \nL 95.048057 170.64598 \nL 91.58468 169.814166 \nL 87.95974 168.650878 \nL 84.207134 167.103281 \nL 80.37501 165.116845 \nL 76.527987 162.63865 \nL 72.748791 159.622198 \nL 69.138723 156.033759 \nL 65.81635 151.860117 \nL 62.913651 147.117128 \nL 60.569192 141.85788 \nL 58.918171 136.178814 \nL 58.079967 130.221711 \nL 58.144604 124.169664 \nL 59.160427 118.23597 \nL 61.125449 112.646391 \nL 63.984651 107.61716 \nL 67.63421 103.332577 \nL 71.932119 99.926572 \nL 76.713057 97.471825 \nL 81.804637 95.978003 \nL 87.042076 95.398508 \nL 92.279306 95.643268 \nL 97.395621 96.594266 \nL 102.298113 98.12079 \nL 106.920827 100.092199 \nL 111.221761 102.387202 \nL 115.178865 104.899476 \nL 118.785779 107.540184 \nL 122.0479 110.238145 \nL 124.978985 112.938522 \nL 127.5984 115.600699 \nL 129.928974 118.195861 \nL 131.995375 120.704606 \nL 135.43675 125.419891 \nL 138.119432 129.706726 \nL 140.222828 133.572511 \nL 142.62518 138.646523 \nL 146.685693 147.69482 \nL 147.816484 149.679616 \nL 149.048142 151.423536 \nL 150.434124 152.928098 \nL 152.027081 154.186133 \nL 153.881129 155.180786 \nL 156.053454 155.88409 \nL 158.60504 156.255082 \nL 161.6001 156.237519 \nL 163.284305 156.06069 \nL 165.103492 155.757537 \nL 167.064936 155.315798 \nL 169.174989 154.722002 \nL 171.438614 153.961574 \nL 173.858783 153.019045 \nL 176.435742 151.878387 \nL 179.166122 150.523554 \nL 182.041872 148.939241 \nL 185.049059 147.11194 \nL 188.16653 145.031332 \nL 191.364528 142.692048 \nL 194.603335 140.095791 \nL 197.83216 137.253766 \nL 200.988417 134.189278 \nL 203.997751 130.940199 \nL 206.775055 127.560952 \nL 209.226869 124.123523 \nL 211.25533 120.71679 \nL 212.763765 117.443759 \nL 213.663718 114.416237 \nL 213.88285 111.746997 \nL 213.372745 109.540021 \nL 212.115451 107.880067 \nL 210.127517 106.823195 \nL 207.460514 106.390171 \nL 204.197704 106.564166 \nL 200.447158 107.293414 \nL 196.332461 108.498294 \nL 191.982499 110.081478 \nL 187.521867 111.939098 \nL 183.063192 113.970936 \nL 174.514161 118.218881 \nL 166.864439 122.320482 \nL 160.356606 126.039371 \nL 155.024019 129.335131 \nL 150.776377 132.269331 \nL 147.465684 134.934762 \nL 144.928239 137.416624 \nL 143.007798 139.777792 \nL 141.566448 142.057697 \nL 140.488212 144.276939 \nL 139.67871 146.443268 \nL 138.808631 149.592843 \nL 138.015756 153.584977 \nL 136.531842 161.587548 \nL 135.87936 163.957779 \nL 135.04368 166.197901 \nL 133.948714 168.324935 \nL 133.027702 169.689032 \nL 131.912519 171.015707 \nL 130.55919 172.308466 \nL 128.914276 173.568218 \nL 126.913009 174.791243 \nL 124.477453 175.965936 \nL 121.515023 177.067716 \nL 117.918109 178.051114 \nL 113.566226 178.837843 \nL 111.067609 179.119858 \nL 108.333241 179.299348 \nL 105.349197 179.348453 \nL 102.104117 179.232828 \nL 98.590771 178.91065 \nL 94.808106 178.331718 \nL 90.763853 177.436806 \nL 86.477749 176.157573 \nL 81.985338 174.417357 \nL 77.342181 172.133416 \nL 72.628163 169.221155 \nL 67.951213 165.60101 \nL 63.449483 161.208424 \nL 59.290682 156.006936 \nL 55.667015 150.003582 \nL 52.784491 143.264555 \nL 50.84598 135.927709 \nL 50.029079 128.207423 \nL 50.461716 120.387539 \nL 52.200367 112.799906 \nL 55.216452 105.789896 \nL 59.395274 99.674731 \nL 64.548813 94.703794 \nL 70.43962 91.030288 \nL 76.810092 88.70036 \nL 83.410456 87.660476 \nL 90.020329 87.778829 \nL 96.461372 88.87377 \nL 102.601372 90.742261 \nL 108.351838 93.18341 \nL 113.661724 96.014785 \nL 118.509643 99.081398 \nL 122.896201 102.2588 \nL 126.837324 105.452012 \nL 130.358917 108.592053 \nL 133.492834 111.631476 \nL 136.27397 114.539793 \nL 140.921194 119.901463 \nL 144.578758 124.630042 \nL 148.75058 130.60018 \nL 152.906397 136.747764 \nL 154.729283 139.155914 \nL 156.539033 141.166371 \nL 158.427814 142.797576 \nL 160.472548 144.054886 \nL 161.574029 144.541477 \nL 162.737885 144.930792 \nL 163.970515 145.219954 \nL 165.277628 145.405354 \nL 166.664177 145.48269 \nL 168.134256 145.447042 \nL 169.690946 145.292945 \nL 171.336124 145.014521 \nL 173.070216 144.605638 \nL 174.891897 144.060143 \nL 176.797747 143.372131 \nL 178.781859 142.536325 \nL 180.835405 141.548524 \nL 182.94619 140.406151 \nL 185.098203 139.108903 \nL 187.271202 137.659473 \nL 189.440409 136.064354 \nL 191.576322 134.334633 \nL 193.64476 132.486768 \nL 195.607188 130.543222 \nL 197.421418 128.532843 \nL 199.042726 126.490874 \nL 200.425424 124.458473 \nL 201.524874 122.481619 \nL 202.299865 120.60938 \nL 202.715187 118.891547 \nL 202.744227 117.375767 \nL 202.371265 116.104456 \nL 201.593204 115.111767 \nL 200.420489 114.421057 \nL 198.877034 114.043181 \nL 196.99908 113.975909 \nL 194.833143 114.204497 \nL 192.433207 114.703428 \nL 189.857553 115.439013 \nL 187.165519 116.372422 \nL 181.657789 118.670322 \nL 176.308015 121.293673 \nL 171.405117 124.008 \nL 167.122017 126.666184 \nL 163.53381 129.196303 \nL 160.645713 131.576678 \nL 158.420277 133.811578 \nL 156.799064 135.913644 \nL 155.717865 137.893677 \nL 155.116335 139.756039 \nL 154.943488 141.497471 \nL 155.160343 143.107468 \nL 155.740771 144.569124 \nL 156.671237 145.859747 \nL 157.949855 146.951008 \nL 159.584961 147.808618 \nL 161.593158 148.391573 \nL 163.996646 148.651204 \nL 166.819401 148.530405 \nL 170.081605 147.963649 \nL 173.791554 146.8787 \nL 177.934192 145.201512 \nL 180.152985 144.119503 \nL 182.455777 142.866186 \nL 184.826698 141.437424 \nL 187.245004 139.832212 \nL 189.684495 138.053696 \nL 192.113061 136.11028 \nL 194.492465 134.01674 \nL 196.778441 131.795282 \nL 198.921236 129.476355 \nL 200.866734 127.099052 \nL 202.55817 124.710926 \nL 203.938553 122.366974 \nL 204.953665 120.127713 \nL 205.555526 118.056264 \nL 205.706005 116.214587 \nL 205.380229 114.659151 \nL 204.569314 113.436553 \nL 203.282034 112.579596 \nL 201.545069 112.10452 \nL 199.401748 112.009775 \nL 196.909337 112.276652 \nL 194.135222 112.8716 \nL 191.152487 113.749901 \nL 188.035403 114.860105 \nL 184.855349 116.148572 \nL 178.558758 119.057996 \nL 172.676477 122.134246 \nL 167.467219 125.153084 \nL 163.051234 128.004159 \nL 159.4472 130.657278 \nL 156.610763 133.125354 \nL 154.465663 135.436438 \nL 152.925405 137.617326 \nL 151.906727 139.686275 \nL 151.337084 141.651335 \nL 151.15816 143.511355 \nL 151.326977 145.257787 \nL 151.815661 146.876319 \nL 152.610551 148.347886 \nL 153.711053 149.648933 \nL 155.128428 150.750988 \nL 156.884501 151.61961 \nL 159.010154 152.212849 \nL 161.543276 152.479366 \nL 164.525617 152.356538 \nL 167.997791 151.769059 \nL 169.928062 151.274042 \nL 171.991289 150.629027 \nL 174.187968 149.821582 \nL 176.516189 148.839178 \nL 178.970917 147.66966 \nL 181.54318 146.301885 \nL 184.219162 144.726576 \nL 186.979237 142.937398 \nL 189.797 140.932278 \nL 192.638381 138.714952 \nL 195.460937 136.296658 \nL 198.213504 133.697903 \nL 200.83638 130.950066 \nL 203.262224 128.096642 \nL 205.417882 125.193742 \nL 207.227256 122.309511 \nL 208.615247 119.522175 \nL 209.512609 116.916432 \nL 209.861388 114.578271 \nL 209.620355 112.588537 \nL 208.769709 111.015928 \nL 207.314316 109.910449 \nL 205.284764 109.298359 \nL 202.735978 109.179601 \nL 199.743384 109.528297 \nL 196.397187 110.296238 \nL 192.795549 111.418721 \nL 189.037684 112.821702 \nL 185.217703 114.429039 \nL 177.71551 117.977817 \nL 170.800969 121.609816 \nL 164.76486 125.057885 \nL 159.71364 128.218659 \nL 155.628958 131.09272 \nL 152.42248 133.728041 \nL 149.975939 136.182249 \nL 148.166418 138.503616 \nL 146.88044 140.724834 \nL 146.020683 142.863638 \nL 145.508217 144.926112 \nL 145.282282 146.910372 \nL 145.298876 148.80961 \nL 145.528911 150.614177 \nL 145.956419 152.312747 \nL 146.577025 153.892692 \nL 147.396803 155.339857 \nL 148.431547 156.637826 \nL 149.706419 157.766789 \nL 151.255892 158.701949 \nL 153.12385 159.411504 \nL 155.363629 159.854094 \nL 158.037608 159.975693 \nL 161.215749 159.70602 \nL 164.972115 158.954774 \nL 167.089767 158.364073 \nL 169.377809 157.608565 \nL 171.842573 156.670371 \nL 174.488142 155.530403 \nL 177.315434 154.168748 \nL 180.321046 152.565321 \nL 183.495899 150.700825 \nL 186.823656 148.558094 \nL 190.278962 146.123929 \nL 193.825597 143.391438 \nL 197.41468 140.362899 \nL 200.983169 137.053068 \nL 204.452974 133.492693 \nL 207.731093 129.731831 \nL 210.711241 125.842415 \nL 213.277423 121.919199 \nL 215.309744 118.078269 \nL 216.692506 114.452261 \nL 217.32409 111.181919 \nL 217.127667 108.404208 \nL 216.061184 106.238302 \nL 214.124731 104.771538 \nL 211.363658 104.048122 \nL 207.866328 104.063152 \nL 203.756555 104.763611 \nL 199.18194 106.056242 \nL 194.300196 107.820631 \nL 189.265821 109.924598 \nL 184.21914 112.238907 \nL 174.538489 117.061153 \nL 165.905315 121.642264 \nL 158.600556 125.69663 \nL 152.645153 129.19566 \nL 147.91367 132.237534 \nL 144.217715 134.952986 \nL 141.355989 137.456684 \nL 139.139994 139.830975 \nL 137.404847 142.126579 \nL 136.011837 144.369781 \nL 134.31988 147.655456 \nL 130.825028 154.905042 \nL 129.671311 156.843154 \nL 128.355044 158.711122 \nL 126.825815 160.50192 \nL 125.029942 162.205786 \nL 122.908693 163.807795 \nL 120.397191 165.284374 \nL 117.424388 166.598424 \nL 113.914846 167.692572 \nL 111.935123 168.131533 \nL 109.793577 168.480116 \nL 107.48251 168.72102 \nL 104.995881 168.833578 \nL 102.330097 168.793351 \nL 99.484999 168.571788 \nL 96.465087 168.136 \nL 93.28097 167.448774 \nL 89.951055 166.468935 \nL 86.503399 165.152222 \nL 82.977632 163.452879 \nL 79.426754 161.326175 \nL 75.918514 158.73199 \nL 72.535984 155.639629 \nL 69.376853 152.03368 \nL 66.550926 147.92064 \nL 64.175398 143.335484 \nL 62.367737 138.34712 \nL 61.236441 133.061207 \nL 60.870481 127.618922 \nL 61.328881 122.190557 \nL 62.632293 116.963829 \nL 64.758314 112.12795 \nL 67.641839 107.855813 \nL 71.180658 104.287422 \nL 75.24537 101.517589 \nL 79.691781 99.590021 \nL 84.373533 98.498299 \nL 89.153062 98.192836 \nL 93.909544 98.591661 \nL 98.543497 99.592732 \nL 102.97826 101.085594 \nL 107.159108 102.960946 \nL 111.050838 105.11757 \nL 114.634603 107.466499 \nL 117.904574 109.932887 \nL 120.864822 112.456129 \nL 123.526586 114.988907 \nL 125.906024 117.495545 \nL 128.022426 119.950155 \nL 129.896822 122.334792 \nL 133.006506 126.852127 \nL 135.405335 131.004356 \nL 137.249333 134.791611 \nL 138.673883 138.235305 \nL 140.266673 142.822585 \nL 143.855834 154.227574 \nL 144.627219 155.934882 \nL 145.503757 157.472264 \nL 146.521099 158.838876 \nL 147.717737 160.02824 \nL 149.136771 161.027348 \nL 150.827518 161.815327 \nL 152.846926 162.361495 \nL 155.260587 162.622753 \nL 158.142997 162.540174 \nL 161.576353 162.034915 \nL 165.646734 161.003814 \nL 167.946842 160.251252 \nL 170.43572 159.315806 \nL 173.120288 158.176662 \nL 176.004636 156.811613 \nL 179.08886 155.19758 \nL 182.367615 153.311487 \nL 185.828398 151.131536 \nL 189.449576 148.639027 \nL 193.198188 145.820779 \nL 197.027718 142.672245 \nL 200.87598 139.201238 \nL 204.663545 135.432147 \nL 208.293111 131.410269 \nL 211.650396 127.205578 \nL 214.607197 122.915086 \nL 217.027099 118.662631 \nL 218.774075 114.594951 \nL 219.723723 110.873208 \nL 219.776159 107.659862 \nL 218.868784 105.101973 \nL 216.986657 103.313421 \nL 214.168101 102.359401 \nL 210.503786 102.246853 \nL 206.128966 102.923517 \nL 201.209995 104.286012 \nL 195.927733 106.195253 \nL 190.46093 108.495579 \nL 184.972351 111.033449 \nL 174.449058 116.301994 \nL 160.967691 123.473474 \nL 150.826347 129.155012 \nL 145.760626 132.245172 \nL 141.802243 134.963131 \nL 138.721682 137.446555 \nL 136.307188 139.792054 \nL 134.375092 142.05784 \nL 132.771361 144.273083 \nL 130.0631 148.580283 \nL 128.098435 151.682668 \nL 126.679144 153.670265 \nL 125.097134 155.577743 \nL 123.291755 157.388873 \nL 121.202822 159.082875 \nL 118.769094 160.631439 \nL 115.92807 161.99453 \nL 112.617715 163.114788 \nL 110.768329 163.559481 \nL 108.781051 163.910461 \nL 106.651003 164.152332 \nL 104.375055 164.267123 \nL 101.952477 164.234052 \nL 99.385719 164.029386 \nL 96.681364 163.62641 \nL 93.851197 162.995625 \nL 90.913423 162.105202 \nL 87.893926 160.92186 \nL 84.827523 159.412246 \nL 81.759046 157.544938 \nL 78.744038 155.293153 \nL 75.848858 152.638166 \nL 73.149849 149.573325 \nL 70.731313 146.108398 \nL 68.682066 142.27374 \nL 67.090524 138.123591 \nL 66.038488 133.737681 \nL 65.594169 129.220304 \nL 65.805272 124.696247 \nL 66.693206 120.303468 \nL 68.24945 116.183133 \nL 70.434922 112.468138 \nL 73.182602 109.271937 \nL 76.403094 106.679441 \nL 79.99222 104.741385 \nL 83.839427 103.472909 \nL 87.835764 102.856133 \nL 91.880446 102.845841 \nL 95.885465 103.376999 \nL 99.77815 104.372662 \nL 103.501902 105.751329 \nL 107.015522 107.432855 \nL 110.291644 109.342758 \nL 113.314688 111.41489 \nL 116.078666 113.592686 \nL 118.585089 115.829372 \nL 120.841071 118.087449 \nL 122.857728 120.337727 \nL 124.64885 122.558186 \nL 126.229833 124.732777 \nL 127.616862 126.850307 \nL 129.874082 130.887777 \nL 131.545518 134.643609 \nL 132.742717 138.119011 \nL 133.559717 141.329994 \nL 134.072213 144.299318 \nL 134.338501 147.051838 \nL 134.401237 149.611991 \nL 134.289436 152.002526 \nL 134.020337 154.243949 \nL 133.600966 156.354385 \nL 133.02928 158.349602 \nL 132.294883 160.243067 \nL 131.379321 162.045926 \nL 130.255964 163.766778 \nL 128.889559 165.411124 \nL 127.23549 166.980315 \nL 125.238896 168.469742 \nL 122.833872 169.865936 \nL 119.943133 171.142054 \nL 116.478926 172.251107 \nL 114.502235 172.720445 \nL 112.346414 173.11612 \nL 109.999812 173.421584 \nL 107.451749 173.616487 \nL 104.693273 173.676057 \nL 101.718175 173.570452 \nL 98.524281 173.264179 \nL 95.115101 172.71565 \nL 91.501836 171.877013 \nL 87.705757 170.694467 \nL 83.760902 169.109316 \nL 79.716908 167.060082 \nL 75.641731 164.48602 \nL 71.623779 161.332373 \nL 67.772799 157.557536 \nL 64.218752 153.141988 \nL 61.107773 148.098364 \nL 58.594568 142.481337 \nL 56.831014 136.395248 \nL 55.951628 129.996956 \nL 56.057651 123.49148 \nL 57.202412 117.119041 \nL 59.381236 111.134001 \nL 62.528544 105.778672 \nL 66.523406 101.256807 \nL 71.202669 97.712309 \nL 76.378936 95.217345 \nL 81.85969 93.771731 \nL 87.464042 93.312271 \nL 93.0348 93.728855 \nL 98.445112 94.883137 \nL 103.600165 96.626139 \nL 108.435282 98.81246 \nL 112.911832 101.309983 \nL 117.012273 104.005344 \nL 120.735201 106.805848 \nL 124.090928 109.638915 \nL 127.097808 112.450015 \nL 129.779344 115.199939 \nL 132.162001 117.861865 \nL 134.27359 120.418644 \nL 137.795024 125.182627 \nL 140.557669 129.467841 \nL 142.753444 133.293533 \nL 146.077562 139.715629 \nL 148.124484 143.603886 \nL 149.457041 145.808744 \nL 150.853109 147.724404 \nL 152.379046 149.358002 \nL 154.096145 150.7066 \nL 156.063339 151.756403 \nL 158.338988 152.481685 \nL 159.610735 152.711001 \nL 160.98145 152.843448 \nL 162.458256 152.871845 \nL 164.048017 152.788022 \nL 165.757166 152.582805 \nL 167.591464 152.246041 \nL 169.55569 151.766656 \nL 171.653236 151.132783 \nL 173.885617 150.33197 \nL 176.25186 149.351516 \nL 178.747795 148.178933 \nL 181.365214 146.80261 \nL 184.090939 145.212666 \nL 186.905817 143.402072 \nL 189.783685 141.368019 \nL 192.690426 139.113531 \nL 195.58317 136.649264 \nL 198.409875 133.995376 \nL 201.109424 131.183305 \nL 203.612485 128.257147 \nL 205.843331 125.274305 \nL 207.722771 122.305025 \nL 209.172226 119.430437 \nL 210.118829 116.738889 \nL 210.501175 114.320522 \nL 210.275131 112.260477 \nL 209.418911 110.631427 \nL 207.9366 109.486479 \nL 205.859415 108.853716 \nL 203.24427 108.733381 \nL 200.169767 109.098289 \nL 196.730099 109.897561 \nL 193.027801 111.062868 \nL 189.166383 112.516105 \nL 185.2438 114.177153 \nL 177.550989 117.830528 \nL 170.476651 121.549488 \nL 164.315339 125.061033 \nL 159.169868 128.264387 \nL 155.014913 131.166237 \nL 151.754532 133.820795 \nL 149.263524 136.290622 \nL 147.413129 138.627365 \nL 146.085102 140.865827 \nL 145.178202 143.025069 \nL 144.610178 145.112081 \nL 144.317291 147.125791 \nL 144.252664 149.060331 \nL 144.384247 150.90727 \nL 144.692844 152.656909 \nL 145.170432 154.298801 \nL 145.818894 155.821677 \nL 146.649184 157.212932 \nL 147.680915 158.457732 \nL 148.942318 159.537787 \nL 150.470496 160.429719 \nL 152.311841 161.103016 \nL 154.522402 161.517415 \nL 157.167884 161.619677 \nL 160.322657 161.339729 \nL 164.06685 160.586442 \nL 168.479973 159.243766 \nL 170.959232 158.307808 \nL 173.628738 157.168996 \nL 176.491367 155.805948 \nL 179.545877 154.196679 \nL 182.785497 152.319504 \nL 186.196259 150.154349 \nL 189.755096 147.684576 \nL 193.427787 144.899379 \nL 197.166881 141.7968 \nL 200.909825 138.387311 \nL 204.57765 134.697756 \nL 208.074631 130.775307 \nL 211.289485 126.690757 \nL 214.098634 122.540339 \nL 216.371965 118.444994 \nL 217.981251 114.546091 \nL 218.810881 110.996943 \nL 218.769913 107.950135 \nL 217.803735 105.541863 \nL 215.903273 103.875619 \nL 213.109572 103.00837 \nL 209.512363 102.942435 \nL 205.242356 103.625321 \nL 200.458487 104.957721 \nL 195.332483 106.808018 \nL 190.033574 109.029893 \nL 184.715769 111.479415 \nL 174.515853 116.573881 \nL 165.436509 121.376184 \nL 154.488024 127.439774 \nL 148.925734 130.749068 \nL 144.551528 133.629316 \nL 141.147482 136.223618 \nL 138.500697 138.642546 \nL 136.420731 140.958617 \nL 134.74517 143.212492 \nL 132.701617 146.512315 \nL 128.45549 153.806658 \nL 127.053387 155.74982 \nL 125.457617 157.610531 \nL 123.610775 159.374315 \nL 121.453415 161.021522 \nL 118.922919 162.5239 \nL 115.953676 163.839881 \nL 112.479296 164.90827 \nL 110.532951 165.323174 \nL 108.437982 165.640172 \nL 106.189061 165.842248 \nL 103.7828 165.909426 \nL 101.218504 165.818506 \nL 98.49909 165.542884 \nL 95.632185 165.052529 \nL 92.631396 164.314212 \nL 89.517716 163.292063 \nL 86.321007 161.948656 \nL 83.081443 160.246675 \nL 79.850715 158.15138 \nL 76.692764 155.633915 \nL 73.683712 152.675452 \nL 70.910636 149.272017 \nL 68.468844 145.439607 \nL 66.457408 141.218917 \nL 64.972959 136.678777 \nL 64.102102 131.917247 \nL 63.913188 127.059385 \nL 64.44856 122.251139 \nL 65.718639 117.649488 \nL 67.699047 113.409814 \nL 70.331502 109.672311 \nL 73.528562 106.549736 \nL 77.18144 104.118427 \nL 81.169535 102.414139 \nL 85.370154 101.432876 \nL 89.667004 101.136087 \nL 93.956562 101.458752 \nL 98.151955 102.318664 \nL 102.184533 103.625468 \nL 106.003552 105.288271 \nL 109.574608 107.22136 \nL 112.87733 109.347889 \nL 115.902853 111.601807 \nL 118.651314 113.928372 \nL 121.129608 116.283688 \nL 123.34946 118.633664 \nL 125.325843 120.952665 \nL 127.075718 123.222107 \nL 128.617059 125.429118 \nL 131.146843 129.625828 \nL 133.055679 133.512575 \nL 134.470002 137.091321 \nL 135.497598 140.380465 \nL 136.226765 143.405534 \nL 136.909646 147.5078 \nL 137.245822 151.164971 \nL 137.343486 154.452666 \nL 137.204877 158.367271 \nL 136.806953 161.850424 \nL 136.330575 164.234594 \nL 135.669705 166.458958 \nL 134.773481 168.552054 \nL 134.009394 169.887466 \nL 133.078612 171.183099 \nL 131.944585 172.444917 \nL 130.562172 173.67718 \nL 128.875944 174.881176 \nL 126.818297 176.053108 \nL 124.307556 177.180636 \nL 121.246476 178.237378 \nL 117.521948 179.174325 \nL 113.007516 179.906794 \nL 110.412747 180.155577 \nL 107.571575 180.295331 \nL 104.469814 180.295759 \nL 101.096242 180.119502 \nL 97.444351 179.721076 \nL 93.514647 179.045935 \nL 89.317561 178.029865 \nL 84.877025 176.599032 \nL 80.234648 174.671128 \nL 75.454294 172.158167 \nL 70.626601 168.971647 \nL 65.872692 165.0307 \nL 61.345838 160.27369 \nL 57.229666 154.673045 \nL 53.731164 148.252176 \nL 51.067294 141.101739 \nL 49.444986 133.391168 \nL 49.036222 125.370406 \nL 49.95218 117.357503 \nL 52.222169 109.710585 \nL 55.783323 102.787244 \nL 60.484803 96.899354 \nL 66.106445 92.273792 \nL 72.387373 89.028494 \nL 79.05768 87.168544 \nL 85.866159 86.600795 \nL 92.59962 87.1609 \nL 99.092359 88.644648 \nL 105.227134 90.836801 \nL 110.93036 93.533108 \nL 116.164334 96.554208 \nL 120.918761 99.75217 \nL 125.202949 103.01145 \nL 129.039352 106.24631 \nL 132.458577 109.396383 \nL 135.495738 112.421722 \nL 138.187882 115.298039 \nL 142.685167 120.560568 \nL 146.233138 125.163913 \nL 150.314468 130.926621 \nL 154.470665 136.784745 \nL 156.337071 139.042934 \nL 158.214249 140.897365 \nL 160.190624 142.363721 \nL 162.338967 143.44442 \nL 163.496721 143.837409 \nL 164.718829 144.129186 \nL 166.010779 144.316632 \nL 167.377209 144.395993 \nL 168.82181 144.362947 \nL 170.347178 144.212699 \nL 171.954639 143.940124 \nL 175.413358 143.006942 \nL 179.173329 141.523786 \nL 183.170597 139.463172 \nL 185.224523 138.214709 \nL 187.289923 136.82503 \nL 189.342635 135.30166 \nL 191.35428 133.656454 \nL 193.292386 131.906213 \nL 195.120775 130.073175 \nL 196.8003 128.185243 \nL 198.289938 126.275879 \nL 199.548282 124.383534 \nL 200.535379 122.550577 \nL 201.214865 120.821638 \nL 201.556215 119.241476 \nL 201.536967 117.85246 \nL 201.144641 116.691884 \nL 200.378137 115.789439 \nL 199.248415 115.165106 \nL 197.778314 114.827816 \nL 196.001487 114.775028 \nL 193.960547 114.99332 \nL 191.704627 115.459923 \nL 189.286611 116.144925 \nL 186.760353 117.013906 \nL 181.588371 119.15935 \nL 176.553306 121.624303 \nL 171.924182 124.194645 \nL 167.866794 126.731508 \nL 164.458279 129.162346 \nL 161.711053 131.46026 \nL 159.596895 133.623017 \nL 158.066668 135.657303 \nL 157.064513 137.569175 \nL 156.53709 139.359466 \nL 156.439006 141.022243 \nL 156.735549 142.544821 \nL 157.403643 143.908284 \nL 158.431642 145.087844 \nL 159.818336 146.052941 \nL 161.571328 146.766898 \nL 163.704692 147.186355 \nL 166.235679 147.260757 \nL 169.180044 146.932306 \nL 172.545373 146.137182 \nL 176.321769 144.809076 \nL 180.46939 142.886547 \nL 182.657998 141.687534 \nL 184.902929 140.325902 \nL 187.183599 138.802224 \nL 189.474508 137.121031 \nL 191.744947 135.291761 \nL 193.958883 133.329694 \nL 196.075181 131.256757 \nL 198.048213 129.102122 \nL 199.828943 126.902404 \nL 201.366561 124.701313 \nL 202.610647 122.548643 \nL 203.513815 120.498453 \nL 204.034685 118.6065 \nL 204.140914 116.926977 \nL 203.812004 115.508891 \nL 203.041511 114.392445 \nL 201.838335 113.605835 \nL 200.22684 113.163069 \nL 198.24573 113.063009 \nL 195.945746 113.289892 \nL 193.386475 113.815276 \nL 190.632636 114.601036 \nL 187.750288 115.602996 \nL 184.803354 116.774678 \nL 178.944534 119.449404 \nL 173.437162 122.317287 \nL 168.528655 125.168928 \nL 164.34342 127.89272 \nL 160.912594 130.448996 \nL 158.207116 132.839176 \nL 156.16562 135.081198 \nL 154.714634 137.194213 \nL 153.781643 139.191118 \nL 153.302714 141.076223 \nL 153.226362 142.84549 \nL 153.515037 144.487725 \nL 154.145203 145.985728 \nL 155.106639 147.316977 \nL 156.401323 148.453678 \nL 158.042035 149.362197 \nL 160.050613 150.002022 \nL 162.455628 150.324425 \nL 165.289032 150.271108 \nL 168.581121 149.773439 \nL 172.352905 148.753137 \nL 174.420025 148.020689 \nL 176.604831 147.125864 \nL 178.901561 146.058582 \nL 181.300914 144.809873 \nL 183.789285 143.372617 \nL 186.348001 141.742466 \nL 188.952536 139.918937 \nL 191.571835 137.906685 \nL 194.167813 135.716865 \nL 196.695158 133.368498 \nL 199.101562 130.889722 \nL 201.328573 128.318671 \nL 203.313139 125.703786 \nL 204.989993 123.103267 \nL 206.294845 120.583445 \nL 207.16828 118.215931 \nL 207.560089 116.073559 \nL 207.43361 114.225363 \nL 206.769554 112.73112 \nL 205.568718 111.636134 \nL 203.853123 110.967059 \nL 201.665255 110.72954 \nL 199.065428 110.908038 \nL 196.127562 111.468001 \nL 192.933954 112.359947 \nL 189.569724 113.524806 \nL 186.117667 114.899574 \nL 179.245246 118.037638 \nL 172.801675 121.361884 \nL 167.088984 124.604733 \nL 162.244699 127.638865 \nL 158.286578 130.435396 \nL 155.159236 133.017368 \nL 152.771178 135.425072 \nL 151.019966 137.696214 \nL 149.807409 139.857591 \nL 149.047669 141.923609 \nL 148.670818 143.898017 \nL 148.623701 145.776503 \nL 148.869389 147.549067 \nL 149.385983 149.201607 \nL 150.165282 150.716711 \nL 151.211558 152.073651 \nL 152.540513 153.247683 \nL 154.178415 154.20879 \nL 156.161252 154.919882 \nL 158.533628 155.334538 \nL 161.346946 155.39444 \nL 164.656156 155.026768 \nL 168.514022 154.142233 \nL 170.662313 153.473643 \nL 172.961409 152.634997 \nL 175.412012 151.611143 \nL 178.011719 150.386806 \nL 180.754086 148.947228 \nL 183.627547 147.279037 \nL 186.614215 145.371445 \nL 189.688615 143.217721 \nL 192.816417 140.817061 \nL 195.953327 138.176693 \nL 199.044268 135.314217 \nL 202.023149 132.259931 \nL 204.813439 129.058838 \nL 207.329858 125.771942 \nL 209.481436 122.47629 \nL 211.176043 119.263271 \nL 212.326322 116.234739 \nL 212.856657 113.496816 \nL 212.710469 111.151712 \nL 211.856869 109.288343 \nL 210.295518 107.973121 \nL 208.05873 107.242574 \nL 205.210169 107.099165 \nL 201.840112 107.511472 \nL 198.057968 108.418595 \nL 193.983229 109.738095 \nL 189.736243 111.375811 \nL 185.430123 113.235737 \nL 177.022657 117.277334 \nL 169.348347 121.316213 \nL 162.716613 125.056313 \nL 157.216348 128.407307 \nL 152.79576 131.399812 \nL 149.330289 134.11218 \nL 146.668835 136.625717 \nL 144.660927 139.004602 \nL 143.170571 141.291292 \nL 142.08189 143.509319 \nL 141.300091 145.668505 \nL 140.749999 147.770087 \nL 140.236202 150.806601 \nL 139.977505 153.688464 \nL 139.885512 157.263978 \nL 140.039375 161.276019 \nL 140.34111 164.112847 \nL 140.823267 166.61947 \nL 141.339482 168.281778 \nL 142.034677 169.751915 \nL 142.626907 170.619424 \nL 143.349157 171.389836 \nL 144.23086 172.053864 \nL 145.308364 172.598234 \nL 146.62641 173.004244 \nL 148.239829 173.245804 \nL 150.215414 173.286718 \nL 152.633778 173.07693 \nL 155.590829 172.547493 \nL 159.198077 171.603962 \nL 163.580341 170.1183 \nL 168.868245 167.92009 \nL 171.89031 166.487126 \nL 175.181129 164.789694 \nL 178.748405 162.792845 \nL 182.59366 160.459729 \nL 186.709658 157.753083 \nL 191.07725 154.637592 \nL 195.661666 151.083366 \nL 200.408367 147.070776 \nL 205.238791 142.596741 \nL 210.046519 137.682435 \nL 214.694745 132.381838 \nL 219.01617 126.790098 \nL 222.816744 121.049881 \nL 225.884653 115.353134 \nL 228.005359 109.935405 \nL 228.982538 105.060274 \nL 228.6629 100.993265 \nL 226.960865 97.967575 \nL 223.877597 96.147832 \nL 219.508763 95.600719 \nL 214.0376 96.281232 \nL 207.713528 98.039704 \nL 200.821096 100.648334 \nL 193.646445 103.839734 \nL 186.448648 107.347002 \nL 172.780876 114.424811 \nL 155.717826 123.311854 \nL 143.288242 129.495714 \nL 134.678305 133.774901 \nL 130.490668 136.042509 \nL 127.178994 138.068875 \nL 124.48201 139.963041 \nL 121.132028 142.661041 \nL 116.139246 146.78309 \nL 114.033776 148.22993 \nL 111.753691 149.502723 \nL 109.248207 150.551251 \nL 106.483758 151.316166 \nL 103.446461 151.72777 \nL 101.827692 151.776334 \nL 100.147006 151.705625 \nL 98.410751 151.504217 \nL 96.627797 151.160457 \nL 94.809818 150.662771 \nL 92.971545 150.000093 \nL 91.130969 149.162417 \nL 89.309456 148.141468 \nL 87.531722 146.931503 \nL 85.825637 145.530217 \nL 84.221798 143.939704 \nL 82.752849 142.167402 \nL 81.452505 140.226968 \nL 80.354315 138.138915 \nL 79.490166 135.930944 \nL 78.888631 133.637808 \nL 78.573268 131.300657 \nL 78.561004 128.96578 \nL 78.86081 126.682786 \nL 79.472768 124.502333 \nL 80.387708 122.473599 \nL 81.587455 120.641679 \nL 83.045664 119.045246 \nL 84.729213 117.71465 \nL 86.599959 116.670685 \nL 88.616708 115.924121 \nL 90.737192 115.475908 \nL 92.919907 115.318123 \nL 95.125642 115.435301 \nL 97.318669 115.806124 \nL 99.467537 116.405193 \nL 101.545502 117.204703 \nL 103.530629 118.175971 \nL 105.405656 119.290684 \nL 107.157651 120.521855 \nL 108.77756 121.844487 \nL 110.259689 123.235985 \nL 111.60117 124.676348 \nL 112.801427 126.148192 \nL 113.86169 127.636662 \nL 115.573531 130.615504 \nL 116.76697 133.536544 \nL 117.478175 136.349117 \nL 117.742377 139.020558 \nL 117.58963 141.52962 \nL 117.042556 143.86114 \nL 116.115578 146.001696 \nL 114.815297 147.935997 \nL 113.141864 149.643672 \nL 112.164057 150.404034 \nL 111.091343 151.096277 \nL 109.923172 151.715111 \nL 108.659258 152.25437 \nL 107.29978 152.706958 \nL 105.845614 153.064784 \nL 104.298596 153.318709 \nL 102.661832 153.458548 \nL 100.940036 153.473109 \nL 99.139898 153.350292 \nL 97.270501 153.077262 \nL 95.343712 152.640752 \nL 93.374596 152.027455 \nL 91.381779 151.22461 \nL 89.38773 150.220703 \nL 87.418907 149.006386 \nL 85.505738 147.575528 \nL 83.682329 145.92641 \nL 81.985875 144.062972 \nL 80.455703 141.996053 \nL 79.131948 139.744428 \nL 78.053857 137.335553 \nL 77.257807 134.805787 \nL 76.775165 132.199976 \nL 76.630137 129.570265 \nL 76.837886 126.974137 \nL 77.403086 124.471748 \nL 78.319147 122.122769 \nL 79.56822 119.983027 \nL 81.122041 118.101352 \nL 82.943488 116.516887 \nL 84.988744 115.257241 \nL 87.209768 114.33762 \nL 89.556839 113.760974 \nL 91.980927 113.519009 \nL 94.435703 113.593891 \nL 96.87907 113.960403 \nL 99.274195 114.588213 \nL 101.590037 115.444062 \nL 103.801459 116.493733 \nL 105.889014 117.703629 \nL 107.838494 119.041955 \nL 109.64033 120.47954 \nL 111.288934 121.990309 \nL 112.782008 123.551465 \nL 114.1199 125.14348 \nL 115.304992 126.749926 \nL 116.341169 128.357208 \nL 117.233352 129.954261 \nL 118.608304 133.084079 \nL 119.47659 136.089065 \nL 119.882734 138.939603 \nL 119.864355 141.619115 \nL 119.449678 144.118098 \nL 118.65663 146.429523 \nL 117.49303 148.545136 \nL 115.957643 150.452281 \nL 114.042023 152.130848 \nL 112.937677 152.875327 \nL 111.733304 153.550157 \nL 110.427272 154.14931 \nL 109.018271 154.665675 \nL 107.505554 155.090971 \nL 105.889203 155.415653 \nL 104.170465 155.628838 \nL 102.352117 155.718298 \nL 100.438898 155.670473 \nL 98.437977 155.470582 \nL 96.359473 155.102841 \nL 94.216983 154.550815 \nL 92.02811 153.797928 \nL 89.814945 152.828197 \nL 87.604437 151.627187 \nL 85.428603 150.183195 \nL 83.324459 148.488687 \nL 81.333617 146.541891 \nL 79.501445 144.348475 \nL 77.875721 141.923175 \nL 76.504778 139.291131 \nL 75.435157 136.488746 \nL 74.708898 133.563752 \nL 74.360684 130.574331 \nL 74.415115 127.587157 \nL 74.884428 124.674328 \nL 75.76701 121.909483 \nL 77.0469 119.363372 \nL 78.694449 117.099444 \nL 80.668061 115.169963 \nL 82.916814 113.613103 \nL 85.383643 112.451368 \nL 88.008718 111.691401 \nL 90.732645 111.325128 \nL 93.499199 111.33194 \nL 96.257412 111.681475 \nL 98.962949 112.336687 \nL 101.578808 113.256786 \nL 104.075454 114.399859 \nL 106.430485 115.724976 \nL 108.62801 117.193734 \nL 110.657839 118.771259 \nL 112.514599 120.426763 \nL 114.196846 122.133729 \nL 115.706238 123.869814 \nL 117.046774 125.616571 \nL 118.224136 127.359062 \nL 119.245126 129.085435 \nL 120.848097 132.455188 \nL 121.916878 135.676401 \nL 122.508844 138.723616 \nL 122.67241 141.586227 \nL 122.444408 144.261803 \nL 121.849149 146.751242 \nL 120.898519 149.055104 \nL 119.592778 151.170688 \nL 117.921858 153.089293 \nL 115.867237 154.793365 \nL 114.688573 155.556256 \nL 113.404611 156.253247 \nL 112.012051 156.878109 \nL 110.50783 157.423354 \nL 108.889352 157.880078 \nL 107.154801 158.237824 \nL 105.303482 158.484463 \nL 103.336263 158.606092 \nL 101.25606 158.586987 \nL 99.068422 158.409634 \nL 96.782177 158.054869 \nL 94.410133 157.50219 \nL 91.969812 156.73026 \nL 89.484172 155.717662 \nL 86.982239 154.443994 \nL 84.499577 152.89128 \nL 82.078458 151.045754 \nL 79.767619 148.89997 \nL 77.621459 146.455133 \nL 75.698557 143.723464 \nL 74.059411 140.730352 \nL 72.763464 137.515919 \nL 71.865488 134.135606 \nL 71.411634 130.659425 \nL 71.435544 127.169643 \nL 71.955008 123.756809 \nL 72.969703 120.514429 \nL 74.460348 117.532787 \nL 76.389564 114.892636 \nL 78.704311 112.659718 \nL 81.339625 110.880661 \nL 84.223136 109.580939 \nL 87.279765 108.764907 \nL 90.43607 108.417712 \nL 93.62382 108.508661 \nL 96.782549 108.99536 \nL 99.861091 109.828052 \nL 102.81815 110.953628 \nL 105.62213 112.319045 \nL 108.250394 113.873872 \nL 110.68823 115.572053 \nL 112.92763 117.372893 \nL 114.966075 119.241475 \nL 116.805352 121.148596 \nL 118.450513 123.070417 \nL 119.908948 124.987916 \nL 121.18963 126.886283 \nL 122.302467 128.754281 \nL 124.065999 132.368546 \nL 125.280871 135.790871 \nL 126.020786 139.006432 \nL 126.347106 142.01517 \nL 126.306812 144.824792 \nL 125.932071 147.446138 \nL 125.240691 149.890012 \nL 124.236988 152.164893 \nL 122.912817 154.274967 \nL 121.248688 156.218178 \nL 119.215081 157.983842 \nL 116.774206 159.549594 \nL 115.387609 160.246343 \nL 113.882715 160.877318 \nL 112.253961 161.434424 \nL 110.496139 161.907861 \nL 108.604704 162.28589 \nL 106.57618 162.554612 \nL 104.408647 162.69776 \nL 102.102349 162.696522 \nL 99.66041 162.529439 \nL 97.089683 162.17243 \nL 94.401711 161.598976 \nL 91.613797 160.78058 \nL 88.750098 159.68756 \nL 85.842715 158.290281 \nL 82.932605 156.560922 \nL 80.070192 154.475815 \nL 77.315437 152.018394 \nL 74.73714 149.182635 \nL 72.411231 145.976775 \nL 70.417882 142.426901 \nL 68.83735 138.579848 \nL 67.744745 134.504737 \nL 67.204036 130.292457 \nL 67.262053 126.052583 \nL 67.943234 121.907522 \nL 69.246087 117.984351 \nL 71.142007 114.405153 \nL 73.576872 111.277229 \nL 76.475194 108.68474 \nL 79.746251 106.682948 \nL 83.291223 105.295914 \nL 87.010295 104.517646 \nL 90.80882 104.316152 \nL 94.601993 104.639408 \nL 98.317771 105.422149 \nL 101.898165 106.592436 \nL 105.299186 108.077299 \nL 108.489826 109.807085 \nL 111.450476 111.718406 \nL 114.171066 113.755779 \nL 116.649204 115.872272 \nL 118.888421 118.029365 \nL 120.896628 120.196331 \nL 122.684812 122.349337 \nL 124.265957 124.470444 \nL 125.654193 126.546615 \nL 127.910297 130.531013 \nL 129.567308 134.263796 \nL 130.729071 137.737192 \nL 131.483903 140.960683 \nL 131.902845 143.952378 \nL 132.039881 146.733821 \nL 131.933141 149.327015 \nL 131.606442 151.752744 \nL 131.070799 154.029654 \nL 130.325673 156.173708 \nL 129.35986 158.197765 \nL 128.152 160.111043 \nL 126.670749 161.918298 \nL 124.874703 163.618453 \nL 122.712302 165.202424 \nL 120.121998 166.649767 \nL 117.03329 167.923658 \nL 115.278184 168.477862 \nL 113.369522 168.96372 \nL 111.29775 169.368384 \nL 109.053976 169.676151 \nL 106.630508 169.868005 \nL 104.021565 169.921161 \nL 101.224191 169.808632 \nL 98.239393 169.49887 \nL 95.073542 168.955573 \nL 91.74004 168.137773 \nL 88.261219 167.000367 \nL 84.670418 165.495262 \nL 81.014068 163.573418 \nL 77.353568 161.18793 \nL 73.766573 158.298419 \nL 70.347219 154.876731 \nL 67.204715 150.913752 \nL 64.459772 146.426811 \nL 62.238417 141.466629 \nL 60.663207 136.12243 \nL 59.842334 130.523414 \nL 59.857896 124.835146 \nL 60.755138 119.24994 \nL 62.534848 113.971642 \nL 65.150689 109.196721 \nL 68.512431 105.094864 \nL 72.494658 101.792609 \nL 76.949377 99.363158 \nL 81.720071 97.82385 \nL 86.654808 97.140993 \nL 91.616538 97.240161 \nL 96.4897 98.019389 \nL 101.183165 99.362549 \nL 105.630151 101.150987 \nL 109.786085 103.272351 \nL 113.625323 105.626286 \nL 117.13748 108.127349 \nL 120.32389 110.705749 \nL 123.194465 113.306589 \nL 125.76507 115.888253 \nL 128.055432 118.420374 \nL 130.087518 120.881765 \nL 131.884323 123.258486 \nL 134.864125 127.728536 \nL 137.171542 131.806705 \nL 138.964923 135.504878 \nL 140.981749 140.40219 \nL 145.099985 151.372923 \nL 146.032009 153.196022 \nL 147.073966 154.819613 \nL 148.269052 156.243153 \nL 149.662204 157.45904 \nL 151.302085 158.451635 \nL 153.24272 159.195759 \nL 155.544638 159.65463 \nL 158.275227 159.777154 \nL 161.507745 159.49468 \nL 165.318025 158.717567 \nL 167.462587 158.109066 \nL 169.777354 157.332503 \nL 172.268373 156.370009 \nL 174.939287 155.202551 \nL 177.79039 153.810368 \nL 180.817451 152.173661 \nL 184.010325 150.273605 \nL 187.351365 148.093776 \nL 190.813643 145.622049 \nL 194.359136 142.853004 \nL 197.93697 139.790853 \nL 201.48202 136.452766 \nL 204.914179 132.87234 \nL 208.138709 129.102819 \nL 211.048156 125.219399 \nL 213.526245 121.319835 \nL 215.454024 117.522472 \nL 216.718199 113.960909 \nL 217.221147 110.775082 \nL 216.891521 108.099033 \nL 215.693815 106.046895 \nL 213.635117 104.699252 \nL 210.767373 104.092641 \nL 207.184329 104.214658 \nL 203.013319 105.006045 \nL 198.403266 106.369385 \nL 193.511061 108.182587 \nL 188.488615 110.314204 \nL 183.472488 112.637581 \nL 173.89157 117.437696 \nL 165.383038 121.969515 \nL 158.204268 125.971561 \nL 152.363039 129.427608 \nL 147.728582 132.439141 \nL 144.111852 135.135384 \nL 141.313238 137.627868 \nL 139.146864 139.995858 \nL 137.450646 142.287698 \nL 136.088503 144.528101 \nL 134.432665 147.809539 \nL 131.003863 155.046182 \nL 129.869762 156.980614 \nL 128.575062 158.845587 \nL 127.070038 160.634605 \nL 125.301595 162.338599 \nL 123.211471 163.943552 \nL 120.735072 165.427119 \nL 117.801322 166.753863 \nL 114.334224 167.868647 \nL 112.376587 168.321786 \nL 110.257334 168.687683 \nL 107.968361 168.94951 \nL 105.503088 169.087111 \nL 102.857217 169.076572 \nL 100.029699 168.889855 \nL 97.023924 168.49453 \nL 93.849155 167.853726 \nL 90.522198 166.926397 \nL 87.069274 165.6681 \nL 83.527979 164.032445 \nL 79.949165 161.973444 \nL 76.398476 159.448947 \nL 72.957142 156.425314 \nL 69.721567 152.883203 \nL 66.801162 148.824259 \nL 64.313995 144.277935 \nL 62.379967 139.307393 \nL 61.111716 134.013028 \nL 60.603977 128.532076 \nL 60.922771 123.03307 \nL 62.09628 117.70481 \nL 64.109263 112.740638 \nL 66.902522 108.320339 \nL 70.377761 104.592705 \nL 74.407121 101.662076 \nL 78.845618 99.581115 \nL 83.544177 98.350741 \nL 88.361196 97.926443 \nL 93.171186 98.228878 \nL 97.869953 99.156415 \nL 102.376536 100.59726 \nL 106.632557 102.439639 \nL 110.599908 104.579238 \nL 114.257584 106.92385 \nL 117.598247 109.395554 \nL 120.625 111.931047 \nL 123.348547 114.480728 \nL 125.784828 117.007101 \nL 127.953148 119.482879 \nL 129.87472 121.889077 \nL 133.065769 126.447965 \nL 135.531239 130.637094 \nL 137.430514 134.455298 \nL 138.902271 137.923772 \nL 140.557287 142.537264 \nL 143.990868 153.032127 \nL 144.783928 154.812894 \nL 145.675246 156.41563 \nL 146.702077 157.840853 \nL 147.903827 159.083238 \nL 149.323924 160.130785 \nL 151.011503 160.963556 \nL 153.022829 161.551833 \nL 155.422318 161.853624 \nL 158.282759 161.811407 \nL 161.684096 161.34826 \nL 165.709616 160.363723 \nL 167.98149 159.637247 \nL 170.437712 158.730521 \nL 173.084808 157.623427 \nL 175.926519 156.294533 \nL 178.962681 154.721631 \nL 182.187837 152.882568 \nL 185.589595 150.75649 \nL 189.146738 148.325582 \nL 192.827144 145.577387 \nL 196.585666 142.507766 \nL 200.362137 139.124437 \nL 204.079894 135.45097 \nL 207.645171 131.530856 \nL 210.947977 127.431096 \nL 213.864946 123.244428 \nL 216.264727 119.089176 \nL 218.016061 115.105641 \nL 218.998371 111.44824 \nL 219.113917 108.273289 \nL 218.299954 105.723376 \nL 216.538741 103.910578 \nL 213.863209 102.901572 \nL 210.356584 102.708162 \nL 206.145536 103.28561 \nL 201.387859 104.53957 \nL 196.256931 106.340019 \nL 190.925873 108.5391 \nL 185.554003 110.988893 \nL 175.203499 116.131259 \nL 165.951211 121.008846 \nL 154.759751 127.174635 \nL 149.063308 130.529351 \nL 144.57955 133.437323 \nL 141.087984 136.046243 \nL 138.371754 138.471485 \nL 136.236244 140.789335 \nL 134.515175 143.042972 \nL 132.414942 146.341568 \nL 128.712395 152.634703 \nL 127.347757 154.612432 \nL 125.813853 156.51172 \nL 124.052555 158.318533 \nL 122.004896 160.014562 \nL 119.609552 161.574243 \nL 116.802501 162.960566 \nL 113.518464 164.119412 \nL 111.67778 164.590178 \nL 109.695072 164.972252 \nL 107.564362 165.250542 \nL 105.281228 165.407277 \nL 102.84343 165.421712 \nL 100.25171 165.269917 \nL 97.510741 164.924658 \nL 94.630259 164.355473 \nL 91.626332 163.529014 \nL 88.522763 162.409778 \nL 85.352492 160.96136 \nL 82.158923 159.148352 \nL 78.996918 156.939024 \nL 75.933239 154.30881 \nL 73.046087 151.244551 \nL 70.423405 147.749281 \nL 68.159649 143.847044 \nL 66.35089 139.587076 \nL 65.088335 135.046371 \nL 64.450736 130.329665 \nL 64.496531 125.56604 \nL 65.256902 120.901773 \nL 66.730966 116.489868 \nL 68.884166 112.47748 \nL 71.65036 108.993102 \nL 74.937387 106.135683 \nL 78.635201 103.967383 \nL 82.625209 102.511068 \nL 86.789346 101.752484 \nL 91.017669 101.646158 \nL 95.213805 102.123635 \nL 99.298037 103.102408 \nL 103.20827 104.494229 \nL 106.899379 106.211951 \nL 110.341483 108.174467 \nL 113.517659 110.309789 \nL 116.421502 112.556524 \nL 119.054783 114.864111 \nL 121.425355 117.192212 \nL 123.545377 119.50964 \nL 125.429866 121.793062 \nL 127.095539 124.025642 \nL 128.559928 126.195799 \nL 130.955175 130.322216 \nL 132.750703 134.146382 \nL 134.067183 137.671826 \nL 135.006801 140.917104 \nL 135.652636 143.907263 \nL 136.069896 146.669048 \nL 136.371634 150.439637 \nL 136.379827 153.832449 \nL 136.155309 156.913172 \nL 135.719542 159.735843 \nL 135.062499 162.345077 \nL 134.146178 164.778219 \nL 133.359728 166.318228 \nL 132.401768 167.801863 \nL 131.237627 169.235395 \nL 129.824203 170.622848 \nL 128.108545 171.964718 \nL 126.026297 173.255855 \nL 123.500222 174.482037 \nL 120.439215 175.61459 \nL 116.738694 176.60215 \nL 112.283883 177.358406 \nL 109.736983 177.609086 \nL 106.958762 177.744614 \nL 103.937638 177.735637 \nL 100.665213 177.546371 \nL 97.137923 177.133752 \nL 93.359166 176.446766 \nL 89.34196 175.42613 \nL 85.112116 174.004626 \nL 80.711867 172.108455 \nL 76.203729 169.660134 \nL 71.674158 166.583402 \nL 67.236313 162.8107 \nL 63.03094 158.293393 \nL 59.224122 153.014509 \nL 56.000638 147.002789 \nL 53.552029 140.345801 \nL 52.059399 133.198701 \nL 51.672478 125.784736 \nL 52.488166 118.384189 \nL 54.533175 111.310798 \nL 57.755349 104.878196 \nL 62.026704 99.362553 \nL 67.158174 94.969657 \nL 72.922822 91.813939 \nL 79.082118 89.913424 \nL 85.409802 89.199941 \nL 91.709353 89.540214 \nL 97.823608 90.761556 \nL 103.63717 92.676479 \nL 109.073565 95.102469 \nL 114.089389 97.875286 \nL 118.667366 100.856086 \nL 122.809611 103.933555 \nL 126.531808 107.022633 \nL 129.858539 110.061364 \nL 132.819734 113.00688 \nL 135.448086 115.83139 \nL 139.840517 121.060143 \nL 143.296801 125.701933 \nL 146.053676 129.777596 \nL 152.862558 140.267501 \nL 154.564437 142.357362 \nL 156.343971 144.08966 \nL 158.277482 145.469686 \nL 160.431277 146.490172 \nL 161.609263 146.859854 \nL 162.863539 147.131181 \nL 164.200142 147.299689 \nL 165.624509 147.360152 \nL 167.14136 147.306626 \nL 168.754533 147.132512 \nL 170.466766 146.830661 \nL 172.279418 146.393529 \nL 174.192133 145.813374 \nL 176.202442 145.082552 \nL 178.305298 144.193887 \nL 180.492561 143.141152 \nL 182.752438 141.919687 \nL 185.068909 140.527111 \nL 187.42118 138.964182 \nL 189.783189 137.235768 \nL 192.123282 135.351843 \nL 194.404101 133.32852 \nL 196.582801 131.188939 \nL 198.611704 128.963918 \nL 200.439454 126.692185 \nL 202.012782 124.420024 \nL 203.278831 122.200163 \nL 204.188013 120.089821 \nL 204.697196 118.147902 \nL 204.772984 116.431461 \nL 204.394713 114.99177 \nL 203.556776 113.870416 \nL 202.269934 113.095918 \nL 200.561343 112.681423 \nL 198.473213 112.623831 \nL 196.060219 112.904571 \nL 193.385974 113.491807 \nL 190.518987 114.343839 \nL 187.528606 115.41309 \nL 184.481369 116.650148 \nL 178.451734 119.441496 \nL 172.817146 122.400407 \nL 167.822095 125.317482 \nL 163.583131 128.086549 \nL 160.122044 130.674933 \nL 157.401003 133.09024 \nL 155.351376 135.354936 \nL 153.894089 137.491097 \nL 152.952523 139.513397 \nL 152.459831 141.427216 \nL 152.362498 143.229296 \nL 152.621589 144.909199 \nL 153.212643 146.450629 \nL 154.124878 147.832211 \nL 155.360069 149.027579 \nL 156.93123 150.004824 \nL 158.861062 150.725397 \nL 161.179968 151.142609 \nL 163.923199 151.200036 \nL 167.126517 150.830206 \nL 170.819476 149.954414 \nL 172.854687 149.299579 \nL 175.015205 148.484931 \nL 177.297662 147.499177 \nL 179.695498 146.331667 \nL 182.198196 144.97305 \nL 184.790454 143.416128 \nL 187.451321 141.656898 \nL 190.153371 139.695806 \nL 192.861979 137.539164 \nL 195.534828 135.200681 \nL 198.121793 132.702952 \nL 200.565333 130.078758 \nL 202.801594 127.371926 \nL 204.762365 124.637439 \nL 206.377928 121.940523 \nL 207.580819 119.354472 \nL 208.310308 116.957055 \nL 208.517214 114.825636 \nL 208.168551 113.031391 \nL 207.251398 111.633223 \nL 205.775288 110.672335 \nL 203.772688 110.168252 \nL 201.297339 110.117145 \nL 198.420552 110.492706 \nL 195.226003 111.249573 \nL 191.803714 112.328552 \nL 188.244046 113.662884 \nL 184.632425 115.184446 \nL 177.547505 118.540299 \nL 171.015386 121.988743 \nL 165.304745 125.287008 \nL 160.518378 128.336186 \nL 156.645166 131.130062 \nL 153.608765 133.70603 \nL 151.303907 136.111721 \nL 149.619853 138.387596 \nL 148.453848 140.560848 \nL 147.717821 142.645447 \nL 147.340897 144.644721 \nL 147.269545 146.554425 \nL 147.466552 148.365269 \nL 147.909549 150.06458 \nL 148.589526 151.637107 \nL 149.509556 153.065064 \nL 150.683821 154.327507 \nL 152.136924 155.399184 \nL 153.903375 156.248852 \nL 156.027076 156.837102 \nL 158.560431 157.113742 \nL 161.56257 157.014807 \nL 165.095824 156.459576 \nL 167.080457 155.980454 \nL 169.219203 155.348332 \nL 171.517065 154.547783 \nL 173.977056 153.562454 \nL 176.599417 152.375417 \nL 179.380672 150.969717 \nL 182.312511 149.329159 \nL 185.380509 147.439424 \nL 188.562713 145.289527 \nL 191.828169 142.873675 \nL 195.135481 140.193533 \nL 198.431617 137.260799 \nL 201.651164 134.099956 \nL 204.716333 130.750922 \nL 207.538099 127.271139 \nL 210.018768 123.736583 \nL 212.056249 120.241013 \nL 213.55007 116.89286 \nL 214.408919 113.809397 \nL 214.55905 111.108222 \nL 213.952536 108.896729 \nL 212.57404 107.260974 \nL 210.444773 106.255773 \nL 207.622647 105.898071 \nL 204.198236 106.165067 \nL 200.287082 106.997683 \nL 196.019572 108.308706 \nL 191.530052 109.993903 \nL 186.946878 111.943966 \nL 182.384649 114.055117 \nL 173.685667 118.417197 \nL 165.952101 122.578858 \nL 159.407877 126.319605 \nL 154.067522 129.616026 \nL 149.825532 132.54239 \nL 146.522997 135.199039 \nL 143.988866 137.674772 \nL 142.062072 140.033681 \nL 140.601478 142.31524 \nL 139.48877 144.539689 \nL 138.62759 146.714412 \nL 137.64329 149.882181 \nL 134.768791 160.354085 \nL 133.708554 162.881648 \nL 132.842127 164.49473 \nL 131.809519 166.054057 \nL 130.571678 167.562222 \nL 129.082378 169.020034 \nL 127.286539 170.42488 \nL 125.118591 171.768221 \nL 122.5011 173.031784 \nL 119.344151 174.181784 \nL 115.546387 175.160295 \nL 113.373372 175.557553 \nL 110.999413 175.872724 \nL 108.411589 176.085408 \nL 105.598401 176.170471 \nL 102.550794 176.097263 \nL 99.263495 175.828857 \nL 95.736744 175.321369 \nL 91.978471 174.523543 \nL 88.006931 173.37677 \nL 83.853785 171.815867 \nL 79.567463 169.770969 \nL 75.216578 167.171001 \nL 70.892876 163.949157 \nL 66.71296 160.050727 \nL 62.817915 155.443283 \nL 59.36964 150.128668 \nL 56.542932 144.155351 \nL 54.512837 137.628786 \nL 53.437775 130.71657 \nL 53.44034 123.645138 \nL 54.589062 116.685821 \nL 56.885244 110.130388 \nL 60.258492 104.259531 \nL 64.572737 99.310244 \nL 69.641939 95.44932 \nL 75.251892 92.758581 \nL 81.183431 91.23417 \nL 87.2325 90.798431 \nL 93.224219 91.319922 \nL 99.020088 92.636327 \nL 104.519218 94.575559 \nL 109.6553 96.972289 \nL 114.39123 99.678836 \nL 118.71296 102.570736 \nL 122.623608 105.548244 \nL 126.138353 108.534984 \nL 129.280346 111.475067 \nL 132.077574 114.329569 \nL 134.560559 117.072988 \nL 138.709197 122.172938 \nL 141.970366 126.730011 \nL 144.566061 130.760524 \nL 151.703245 142.460933 \nL 153.300366 144.46298 \nL 155.005225 146.136098 \nL 156.887867 147.48083 \nL 159.011598 148.485646 \nL 160.182262 148.853548 \nL 161.434691 149.126402 \nL 162.775401 149.299122 \nL 164.210507 149.365793 \nL 165.745595 149.319677 \nL 167.385557 149.153236 \nL 169.134374 148.858218 \nL 170.994821 148.425752 \nL 172.968116 147.846543 \nL 175.05349 147.111108 \nL 177.24767 146.210133 \nL 179.544297 145.134945 \nL 181.933258 143.878125 \nL 184.399995 142.434286 \nL 186.924769 140.801008 \nL 189.481986 138.979944 \nL 192.039621 136.978038 \nL 194.558845 134.80883 \nL 196.994 132.493711 \nL 199.293006 130.062969 \nL 201.398397 127.556472 \nL 203.249032 125.023691 \nL 204.782592 122.522881 \nL 205.938813 120.119187 \nL 206.663292 117.881627 \nL 206.911585 115.879001 \nL 206.653183 114.175048 \nL 205.874826 112.823362 \nL 204.582682 111.86275 \nL 202.802938 111.313743 \nL 200.580636 111.176906 \nL 197.976799 111.433235 \nL 195.064211 112.046622 \nL 191.922425 112.967991 \nL 188.632595 114.140361 \nL 185.272813 115.504085 \nL 178.618983 118.580828 \nL 172.41026 121.8181 \nL 166.923068 124.972552 \nL 162.280893 127.929638 \nL 158.496715 130.663912 \nL 155.516338 133.196385 \nL 153.252621 135.563134 \nL 151.608783 137.797461 \nL 150.492522 139.922426 \nL 149.823599 141.949533 \nL 149.537203 143.88031 \nL 149.584808 145.708608 \nL 149.933691 147.422673 \nL 150.565855 149.006484 \nL 151.47678 150.440301 \nL 152.674246 151.700435 \nL 154.177257 152.758402 \nL 156.015015 153.57945 \nL 158.225723 154.120638 \nL 160.854835 154.328558 \nL 163.952159 154.136965 \nL 167.566917 153.464842 \nL 169.581623 152.919053 \nL 171.739513 152.215933 \nL 174.042104 151.341529 \nL 176.488365 150.281608 \nL 179.073915 149.022152 \nL 181.790095 147.550058 \nL 184.622921 145.854085 \nL 187.551947 143.92608 \nL 190.549115 141.762494 \nL 193.577655 139.366176 \nL 196.591201 136.748418 \nL 199.533286 133.931068 \nL 202.337448 130.948521 \nL 204.928214 127.849285 \nL 207.22317 124.696669 \nL 209.136321 121.568197 \nL 210.582752 118.553251 \nL 211.484463 115.74874 \nL 211.776859 113.252757 \nL 211.415246 111.156702 \nL 210.380363 109.536785 \nL 208.681988 108.446173 \nL 206.359833 107.909199 \nL 203.481337 107.91886 \nL 200.136562 108.438127 \nL 196.430904 109.404963 \nL 192.476755 110.740001 \nL 188.385353 112.355476 \nL 184.259862 114.163876 \nL 176.250903 118.050939 \nL 168.974444 121.918236 \nL 162.70218 125.508914 \nL 157.508039 128.746811 \nL 153.340256 131.660533 \nL 150.082077 134.319479 \nL 147.593213 136.794957 \nL 145.734432 139.142823 \nL 144.380269 141.39954 \nL 143.424318 143.584662 \nL 142.780264 145.705477 \nL 142.380688 147.761507 \nL 142.174863 149.748034 \nL 142.1529 152.583003 \nL 142.41256 155.223458 \nL 142.925339 157.647504 \nL 143.410728 159.132874 \nL 144.022476 160.505831 \nL 144.777512 161.758256 \nL 145.699253 162.879864 \nL 146.818137 163.857089 \nL 148.172438 164.671663 \nL 149.809274 165.29878 \nL 151.785705 165.704695 \nL 154.169706 165.843594 \nL 157.040615 165.653595 \nL 160.488344 165.051814 \nL 164.6101 163.928795 \nL 169.502551 162.143245 \nL 172.264235 160.948413 \nL 175.24621 159.519503 \nL 178.451448 157.830017 \nL 181.877481 155.852779 \nL 185.514496 153.561216 \nL 189.343054 150.931248 \nL 193.331512 147.943912 \nL 197.43326 144.588832 \nL 201.584011 140.868552 \nL 205.699503 136.803615 \nL 209.674188 132.438005 \nL 213.381587 127.84426 \nL 216.677122 123.127141 \nL 219.404176 118.424496 \nL 221.403843 113.903622 \nL 222.528221 109.751944 \nL 222.656143 106.161508 \nL 221.709291 103.308455 \nL 219.665619 101.330431 \nL 216.566973 100.306493 \nL 212.518443 100.244448 \nL 207.678752 101.079318 \nL 202.243325 102.683794 \nL 196.423411 104.888222 \nL 190.425472 107.505158 \nL 184.43443 110.35284 \nL 173.046418 116.142737 \nL 154.711417 125.869156 \nL 145.201085 131.122682 \nL 140.529445 133.952133 \nL 136.88528 136.460581 \nL 134.019767 138.781373 \nL 131.715733 140.997431 \nL 129.790609 143.152054 \nL 126.501339 147.324311 \nL 124.088925 150.306195 \nL 122.342855 152.192451 \nL 120.402341 153.970117 \nL 118.202652 155.609619 \nL 115.683743 157.073231 \nL 112.790374 158.31132 \nL 111.187854 158.825873 \nL 109.474535 159.257581 \nL 107.64646 159.594648 \nL 105.701038 159.82355 \nL 103.637469 159.928887 \nL 101.45725 159.893306 \nL 99.164783 159.69748 \nL 96.768063 159.320231 \nL 94.279451 158.738804 \nL 91.716487 157.929369 \nL 89.10271 156.867834 \nL 86.468398 155.530989 \nL 83.851137 153.898066 \nL 81.296074 151.952713 \nL 78.855707 149.68538 \nL 76.589042 147.095973 \nL 74.559962 144.196599 \nL 72.834719 141.014075 \nL 71.478545 137.591791 \nL 70.551531 133.990451 \nL 70.104096 130.287247 \nL 70.172536 126.573164 \nL 70.775228 122.948375 \nL 71.910096 119.516026 \nL 73.553827 116.375048 \nL 75.663025 113.612983 \nL 78.177237 111.299704 \nL 81.023408 109.48307 \nL 84.121144 108.186875 \nL 87.388088 107.411325 \nL 90.744733 107.135633 \nL 94.118266 107.322178 \nL 97.445188 107.921371 \nL 100.672735 108.876648 \nL 103.75924 110.128943 \nL 106.673689 111.620301 \nL 109.394726 113.296537 \nL 111.909365 115.108949 \nL 114.211577 117.015172 \nL 116.300905 118.979411 \nL 118.181185 120.972204 \nL 119.859416 122.969913 \nL 121.344808 124.954027 \nL 122.647977 126.910443 \nL 123.780312 128.828733 \nL 125.578973 132.523699 \nL 126.830802 136.0057 \nL 127.616141 139.265854 \nL 128.001444 142.309213 \nL 128.037698 145.147914 \nL 127.760372 147.796782 \nL 127.190134 150.270505 \nL 126.333869 152.581686 \nL 125.185716 154.739317 \nL 123.728033 156.74729 \nL 121.932301 158.602592 \nL 119.76017 160.292914 \nL 117.164978 161.793289 \nL 114.094348 163.061456 \nL 112.363882 163.589042 \nL 110.494778 164.031693 \nL 108.481466 164.37626 \nL 106.319568 164.607101 \nL 104.00646 164.70582 \nL 101.541973 164.651034 \nL 98.929237 164.418243 \nL 96.175687 163.979815 \nL 93.294214 163.305208 \nL 90.304436 162.361489 \nL 87.234036 161.114305 \nL 84.120059 159.529375 \nL 81.010006 157.574673 \nL 77.96253 155.223347 \nL 75.047425 152.45737 \nL 72.344625 149.271823 \nL 69.941904 145.679442 \nL 67.931076 141.714906 \nL 66.402615 137.438096 \nL 65.439026 132.935428 \nL 65.107491 128.318383 \nL 65.452771 123.718683 \nL 66.491471 119.280109 \nL 68.208776 115.147645 \nL 70.558435 111.455403 \nL 73.466154 108.315214 \nL 76.835927 105.807704 \nL 80.55828 103.977303 \nL 84.51904 102.831695 \nL 88.607433 102.34534 \nL 92.722482 102.465982 \nL 96.777318 103.122712 \nL 100.701337 104.23424 \nL 104.440542 105.716235 \nL 107.95655 107.487133 \nL 111.224774 109.472145 \nL 114.232212 111.60566 \nL 116.975163 113.832191 \nL 119.457091 116.106352 \nL 121.686743 118.392139 \nL 123.676556 120.661853 \nL 125.441371 122.894856 \nL 126.997409 125.076353 \nL 129.550389 129.248058 \nL 131.467429 133.135393 \nL 132.86928 136.732186 \nL 133.85977 140.051325 \nL 134.524084 143.114805 \nL 134.929308 145.947942 \nL 135.126111 148.576195 \nL 135.150846 151.023558 \nL 134.91519 154.40246 \nL 134.383241 157.486367 \nL 133.863635 159.404609 \nL 133.200831 161.22804 \nL 132.377135 162.967659 \nL 131.367492 164.632472 \nL 130.138939 166.229122 \nL 128.64976 167.761127 \nL 126.848417 169.227488 \nL 124.672416 170.620389 \nL 122.047375 171.921552 \nL 118.886837 173.096612 \nL 115.093754 174.086717 \nL 112.92788 174.484427 \nL 110.565378 174.796388 \nL 107.994318 175.002219 \nL 105.204326 175.076932 \nL 102.187605 174.990214 \nL 98.940257 174.705743 \nL 95.463979 174.180608 \nL 91.768167 173.365017 \nL 87.872445 172.202439 \nL 83.809571 170.630511 \nL 79.628579 168.583042 \nL 75.397875 165.993511 \nL 71.207817 162.800453 \nL 67.172072 158.955017 \nL 63.426882 154.430597 \nL 60.127208 149.23397 \nL 57.438937 143.416538 \nL 55.526776 137.083436 \nL 54.538427 130.397622 \nL 54.586854 123.576066 \nL 55.733713 116.876201 \nL 57.977573 110.573005 \nL 61.250201 104.929909 \nL 65.422356 100.168954 \nL 70.318326 96.446695 \nL 75.735976 93.840719 \nL 81.468099 92.348978 \nL 87.320966 91.900482 \nL 93.12751 92.373513 \nL 98.754304 93.616581 \nL 104.103026 95.467969 \nL 109.107949 97.771217 \nL 113.731176 100.38551 \nL 117.957018 103.191227 \nL 121.786522 106.091639 \nL 125.232674 109.011935 \nL 128.316487 111.896731 \nL 131.063965 114.706886 \nL 133.50385 117.41625 \nL 137.580159 122.475356 \nL 140.77927 127.021701 \nL 143.315499 131.065117 \nL 146.276918 136.268485 \nL 149.410407 141.816311 \nL 150.880134 144.07095 \nL 152.402375 146.008215 \nL 154.05025 147.636831 \nL 155.889582 148.954485 \nL 157.981651 149.947186 \nL 159.140794 150.313909 \nL 160.384804 150.588431 \nL 161.720538 150.76533 \nL 163.154589 150.838301 \nL 164.693163 150.800145 \nL 166.341926 150.642773 \nL 168.10578 150.357255 \nL 169.988574 149.933905 \nL 171.992754 149.362409 \nL 174.11891 148.632057 \nL 176.365244 147.732063 \nL 178.726947 146.652003 \nL 181.195478 145.382429 \nL 183.75777 143.915638 \nL 186.395403 142.246655 \nL 189.083762 140.374407 \nL 191.791281 138.303087 \nL 194.478865 136.043634 \nL 197.09962 133.615255 \nL 199.599046 131.046823 \nL 201.915861 128.377904 \nL 203.983608 125.6592 \nL 205.733167 122.952035 \nL 207.096157 120.326706 \nL 208.00915 117.859424 \nL 208.418381 115.627956 \nL 208.284491 113.706139 \nL 207.586738 112.157881 \nL 206.325984 111.03143 \nL 204.525942 110.354763 \nL 202.232331 110.133018 \nL 199.509941 110.348376 \nL 196.437966 110.962527 \nL 193.104247 111.921267 \nL 189.599208 113.160447 \nL 186.010281 114.61221 \nL 178.889707 117.896595 \nL 172.24461 121.340874 \nL 166.379692 124.67152 \nL 161.426034 127.765525 \nL 157.391041 130.602455 \nL 154.208526 133.213785 \nL 151.777408 135.646376 \nL 149.987402 137.9424 \nL 148.734117 140.131454 \nL 147.926844 142.229694 \nL 147.491736 144.242131 \nL 147.372329 146.165644 \nL 147.5287 147.991623 \nL 147.936052 149.707792 \nL 148.583232 151.299158 \nL 149.471408 152.748161 \nL 150.613044 154.034176 \nL 152.031154 155.132419 \nL 153.75875 156.01234 \nL 155.838308 156.635531 \nL 158.32091 156.953168 \nL 161.264567 156.903086 \nL 164.730916 156.406797 \nL 166.678928 155.96173 \nL 168.779083 155.36717 \nL 171.036634 154.608017 \nL 173.454986 153.668216 \nL 176.034958 152.531057 \nL 178.773882 151.179689 \nL 181.664527 149.597847 \nL 184.693864 147.770877 \nL 187.841696 145.687116 \nL 191.0792 143.339651 \nL 194.367491 140.72847 \nL 197.656376 137.862953 \nL 200.883497 134.764584 \nL 203.974182 131.469601 \nL 206.842291 128.03122 \nL 209.392455 124.520898 \nL 211.523918 121.028006 \nL 213.136148 117.657293 \nL 214.13598 114.523708 \nL 214.445829 111.74452 \nL 214.011973 109.429284 \nL 212.811655 107.668816 \nL 210.857735 106.52501 \nL 208.199693 106.023416 \nL 204.920573 106.150253 \nL 201.130116 106.854685 \nL 196.955153 108.055894 \nL 192.528887 109.653579 \nL 187.980745 111.539723 \nL 183.428098 113.609501 \nL 174.687963 117.944502 \nL 166.861767 122.127214 \nL 160.203404 125.908695 \nL 154.748019 129.246937 \nL 150.401886 132.207534 \nL 147.01152 134.888786 \nL 144.407394 137.380754 \nL 142.42787 139.749873 \nL 140.930283 142.037863 \nL 139.794526 144.266675 \nL 138.922561 146.444796 \nL 137.94219 149.617045 \nL 136.728793 154.619656 \nL 135.542743 159.225748 \nL 134.666567 161.797612 \nL 133.561633 164.23559 \nL 132.649737 165.792566 \nL 131.557551 167.299062 \nL 130.243742 168.757594 \nL 128.658968 170.168394 \nL 126.744182 171.527534 \nL 124.429002 172.824023 \nL 121.630466 174.035394 \nL 118.252748 175.120962 \nL 114.189025 176.011803 \nL 111.864878 176.351498 \nL 109.327536 176.596331 \nL 106.564497 176.722463 \nL 103.565331 176.700655 \nL 100.32293 176.495461 \nL 96.835149 176.064466 \nL 93.106888 175.357723 \nL 89.152662 174.31757 \nL 84.999638 172.879096 \nL 80.691075 170.971647 \nL 76.289897 168.521797 \nL 71.882005 165.458275 \nL 67.578631 161.719271 \nL 63.516819 157.262252 \nL 59.856857 152.075992 \nL 56.775562 146.193578 \nL 54.454669 139.704232 \nL 53.064467 132.760807 \nL 52.744205 125.579394 \nL 53.582354 118.4282 \nL 55.600874 111.605064 \nL 58.747651 105.406073 \nL 62.89972 100.091058 \nL 67.877149 95.853457 \nL 73.464594 92.801161 \nL 79.435614 90.951913 \nL 85.574815 90.242743 \nL 91.694223 90.549258 \nL 97.642456 91.709347 \nL 103.307297 93.546043 \nL 108.613327 95.886066 \nL 113.516673 98.572489 \nL 117.998642 101.471703 \nL 122.059439 104.475752 \nL 125.712671 107.501409 \nL 128.980869 110.487403 \nL 131.892059 113.390781 \nL 134.477221 116.18317 \nL 138.797915 121.374318 \nL 142.194175 126.007886 \nL 144.895538 130.098249 \nL 152.286827 141.895602 \nL 153.928042 143.893594 \nL 155.674887 145.5532 \nL 157.598662 146.875304 \nL 159.763027 147.848487 \nL 160.953664 148.197207 \nL 162.225614 148.448643 \nL 163.58513 148.597749 \nL 165.037968 148.638671 \nL 166.589258 148.56477 \nL 168.243325 148.368681 \nL 170.003451 148.042406 \nL 171.871584 147.577442 \nL 173.847968 146.964987 \nL 175.930702 146.196233 \nL 178.115237 145.262742 \nL 180.393793 144.156955 \nL 182.754725 142.872844 \nL 185.181859 141.406693 \nL 187.653842 139.758046 \nL 190.143545 137.930795 \nL 192.617615 135.934335 \nL 195.036271 133.78477 \nL 197.353454 131.505991 \nL 199.517447 129.130518 \nL 201.472094 126.699884 \nL 203.158706 124.264348 \nL 204.518655 121.881756 \nL 205.496587 119.615385 \nL 206.044099 117.530757 \nL 206.123532 115.691584 \nL 205.711465 114.155177 \nL 204.801461 112.967853 \nL 203.405599 112.160952 \nL 201.554502 111.748164 \nL 199.295736 111.724539 \nL 196.690738 112.067477 \nL 193.81066 112.739474 \nL 190.731653 113.692225 \nL 187.53018 114.871344 \nL 184.278901 116.221113 \nL 177.880207 119.226449 \nL 171.94463 122.364009 \nL 166.719845 125.417083 \nL 162.313542 128.285099 \nL 158.733266 130.946342 \nL 155.926069 133.419555 \nL 153.809679 135.736138 \nL 152.293699 137.92447 \nL 151.292524 140.003395 \nL 150.732312 141.981105 \nL 150.55411 143.856508 \nL 150.714679 145.621243 \nL 151.186071 147.261407 \nL 151.954638 148.7586 \nL 153.019859 150.0902 \nL 154.393139 151.228932 \nL 156.096626 152.141808 \nL 158.161876 152.788534 \nL 160.628075 153.119564 \nL 163.539317 153.073985 \nL 166.94017 152.577757 \nL 168.836564 152.133729 \nL 170.868473 151.543114 \nL 173.037714 150.793136 \nL 175.343959 149.870687 \nL 177.784048 148.762726 \nL 180.351187 147.456848 \nL 183.034032 145.942054 \nL 185.815701 144.209772 \nL 188.67273 142.255108 \nL 191.574068 140.078377 \nL 194.480188 137.686835 \nL 197.342499 135.096552 \nL 200.1032 132.334254 \nL 202.695806 129.438906 \nL 205.046575 126.462694 \nL 207.07698 123.471062 \nL 208.707362 120.541363 \nL 209.861667 117.759883 \nL 210.473017 115.217069 \nL 210.489616 113.001171 \nL 209.880231 111.190907 \nL 208.638448 109.848025 \nL 206.7849 109.011043 \nL 204.366906 108.691257 \nL 201.455423 108.871864 \nL 198.139653 109.510435 \nL 194.520081 110.544322 \nL 190.700993 111.897997 \nL 186.783501 113.490943 \nL 182.859861 115.244919 \nL 175.297169 118.966474 \nL 168.468868 122.647687 \nL 162.60495 126.073584 \nL 157.761963 129.183656 \nL 153.887095 132.005038 \nL 150.871333 134.598052 \nL 148.585803 137.023539 \nL 146.903478 139.328414 \nL 145.710537 141.542517 \nL 144.911193 143.680869 \nL 144.42873 145.747655 \nL 144.204538 147.740104 \nL 144.196267 149.651439 \nL 144.375765 151.472827 \nL 144.727152 153.194447 \nL 145.24526 154.805789 \nL 145.934474 156.295465 \nL 146.80803 157.650582 \nL 147.887713 158.85577 \nL 149.203913 159.891865 \nL 150.795951 160.734188 \nL 152.71253 161.350382 \nL 155.012087 161.697659 \nL 157.762654 161.719411 \nL 161.04058 161.341229 \nL 164.927054 160.466623 \nL 167.123488 159.806026 \nL 169.500705 158.973359 \nL 172.065876 157.949151 \nL 174.823774 156.712521 \nL 177.775742 155.241606 \nL 180.918424 153.514267 \nL 184.242226 151.509153 \nL 187.729531 149.207235 \nL 191.352711 146.593878 \nL 195.07201 143.661517 \nL 198.833515 140.412952 \nL 202.567441 136.865168 \nL 206.187165 133.053364 \nL 209.589472 129.034758 \nL 212.656579 124.891415 \nL 215.260441 120.731114 \nL 217.269736 116.685194 \nL 218.559433 112.902479 \nL 219.022349 109.538822 \nL 218.581396 106.742782 \nL 217.200561 104.639203 \nL 214.892409 103.313347 \nL 211.720194 102.799112 \nL 207.793595 103.07414 \nL 203.258465 104.063349 \nL 198.282433 105.650215 \nL 193.03904 107.693293 \nL 187.693179 110.044224 \nL 182.389967 112.563702 \nL 172.356894 117.660132 \nL 159.685892 124.472612 \nL 153.048324 128.222982 \nL 147.753244 131.4259 \nL 143.602361 134.231004 \nL 140.375061 136.776889 \nL 137.86134 139.166261 \nL 135.8759 141.464186 \nL 134.261914 143.705654 \nL 132.259897 146.989728 \nL 128.603131 153.243951 \nL 127.222812 155.204459 \nL 125.660851 157.084561 \nL 123.85963 158.870104 \nL 121.760049 160.54223 \nL 119.300187 162.074199 \nL 116.415212 163.426926 \nL 113.039182 164.543021 \nL 111.147189 164.987533 \nL 109.10977 165.339095 \nL 106.921211 165.581702 \nL 104.577525 165.696524 \nL 102.077149 165.661632 \nL 99.421789 165.451795 \nL 96.617452 165.038393 \nL 93.675636 164.389569 \nL 90.614687 163.470665 \nL 87.461228 162.245108 \nL 84.25161 160.675857 \nL 81.033188 158.727581 \nL 77.865213 156.369604 \nL 74.819065 153.579756 \nL 71.977431 150.348902 \nL 69.432149 146.685924 \nL 67.280383 142.622577 \nL 65.619098 138.217371 \nL 64.537987 133.557511 \nL 64.111503 128.757896 \nL 64.390955 123.95643 \nL 65.397947 119.305525 \nL 67.120417 114.960483 \nL 69.512193 111.066289 \nL 72.49637 107.744864 \nL 75.972041 105.084951 \nL 79.823217 103.13627 \nL 83.928478 101.908634 \nL 88.169869 101.375603 \nL 92.439966 101.481597 \nL 96.646605 102.150747 \nL 100.715217 103.295999 \nL 104.589144 104.827156 \nL 108.228507 106.657239 \nL 111.608158 108.706822 \nL 114.715246 110.906559 \nL 117.546715 113.198141 \nL 120.106994 115.534194 \nL 122.405977 117.877422 \nL 124.457334 120.199385 \nL 126.27715 122.479127 \nL 127.882863 124.701816 \nL 130.523774 128.940055 \nL 132.520399 132.874989 \nL 134.000717 136.503413 \nL 135.074783 139.840966 \nL 135.833278 142.911882 \nL 136.348367 145.743169 \nL 136.782401 149.598601 \nL 136.921425 153.055659 \nL 136.842126 156.182716 \nL 136.581165 159.035785 \nL 136.144833 161.660783 \nL 135.514435 164.096119 \nL 134.64788 166.374834 \nL 133.906926 167.821387 \nL 133.004661 169.218775 \nL 131.907132 170.573396 \nL 130.572234 171.889906 \nL 128.948203 173.170097 \nL 126.971895 174.411013 \nL 124.567063 175.601864 \nL 121.64294 176.719138 \nL 118.093857 177.718973 \nL 113.801269 178.525628 \nL 111.337126 178.8201 \nL 108.640635 179.014594 \nL 105.69789 179.082109 \nL 102.497403 178.989349 \nL 99.031603 178.695745 \nL 95.298796 178.152563 \nL 91.305677 177.302237 \nL 87.070436 176.078212 \nL 82.626428 174.405639 \nL 78.026292 172.203389 \nL 73.346183 169.387992 \nL 68.689518 165.880081 \nL 64.189345 161.613839 \nL 60.008048 156.549524 \nL 56.332962 150.688377 \nL 53.366556 144.088088 \nL 51.310546 136.875635 \nL 50.344673 129.253199 \nL 50.602829 121.492895 \nL 52.15105 113.917514 \nL 54.972823 106.868199 \nL 58.966232 100.664023 \nL 63.954713 95.562287 \nL 69.709245 91.728688 \nL 75.976688 89.224059 \nL 82.507807 88.009179 \nL 89.079585 87.964102 \nL 95.509002 88.915445 \nL 101.658268 90.66467 \nL 107.433305 93.012105 \nL 112.778063 95.774117 \nL 117.666993 98.793053 \nL 122.097444 101.941074 \nL 126.082912 105.119683 \nL 129.647568 108.256636 \nL 132.822084 111.301653 \nL 135.640588 114.221897 \nL 140.351249 119.619459 \nL 144.056357 124.392273 \nL 147.008071 128.560773 \nL 154.250141 139.133871 \nL 156.040193 141.194027 \nL 157.901502 142.877227 \nL 159.912231 144.189959 \nL 160.994687 144.705907 \nL 162.138441 145.125857 \nL 163.35013 145.447053 \nL 164.635749 145.66599 \nL 166.000588 145.778444 \nL 167.449144 145.779531 \nL 168.98498 145.663773 \nL 170.610545 145.425217 \nL 172.32694 145.057564 \nL 174.13363 144.554387 \nL 176.028109 143.909377 \nL 178.005512 143.116688 \nL 180.058175 142.171373 \nL 182.175185 141.069892 \nL 184.341895 139.81075 \nL 186.539486 138.395207 \nL 188.744583 136.828083 \nL 190.928995 135.118605 \nL 193.059647 133.281225 \nL 195.098791 131.336352 \nL 197.004549 129.310886 \nL 198.731892 127.238395 \nL 200.234077 125.158854 \nL 201.464559 123.117754 \nL 202.379318 121.164584 \nL 202.939492 119.350599 \nL 203.114086 117.726018 \nL 202.882516 116.336854 \nL 202.236661 115.22168 \nL 201.182169 114.408761 \nL 199.738748 113.91391 \nL 197.939398 113.739424 \nL 195.828561 113.874302 \nL 193.459455 114.295617 \nL 190.890858 114.970988 \nL 188.183716 115.861666 \nL 185.397948 116.925804 \nL 179.809483 119.409728 \nL 174.498104 122.129666 \nL 169.717199 124.875739 \nL 165.604842 127.527234 \nL 162.208027 130.032983 \nL 159.512344 132.384307 \nL 157.468421 134.591787 \nL 156.01185 136.669884 \nL 155.076591 138.628771 \nL 154.603112 140.47119 \nL 154.542773 142.192062 \nL 154.859738 143.779248 \nL 155.53134 145.214441 \nL 156.547548 146.473722 \nL 157.909865 147.527569 \nL 159.629803 148.340356 \nL 161.726842 148.86946 \nL 164.225632 149.06421 \nL 167.151939 148.865078 \nL 170.526692 148.203768 \nL 174.35728 147.005249 \nL 176.439165 146.180513 \nL 178.625209 145.193315 \nL 180.906353 144.035774 \nL 183.26965 142.701749 \nL 185.69758 141.187645 \nL 188.167396 139.493389 \nL 190.650528 137.623513 \nL 193.112178 135.588331 \nL 195.511151 133.405117 \nL 197.800079 131.099151 \nL 199.926149 128.704492 \nL 201.832438 126.264232 \nL 203.45994 123.830078 \nL 204.750286 121.46101 \nL 205.649067 119.220938 \nL 206.109557 117.175327 \nL 206.09647 115.386995 \nL 205.589373 113.911494 \nL 204.585215 112.79255 \nL 203.099602 112.058299 \nL 201.166519 111.718907 \nL 198.836415 111.765935 \nL 196.172914 112.173666 \nL 193.248491 112.902193 \nL 190.139708 113.901648 \nL 186.922623 115.117024 \nL 180.442225 117.976854 \nL 174.278721 121.094235 \nL 168.744576 124.199486 \nL 163.999942 127.148622 \nL 160.087862 129.892899 \nL 156.975556 132.438729 \nL 154.589504 134.814925 \nL 152.840598 137.052315 \nL 151.640138 139.173983 \nL 150.908936 141.19236 \nL 150.581787 143.109884 \nL 150.609062 144.920908 \nL 150.956703 146.613607 \nL 151.605392 148.171323 \nL 152.549424 149.57316 \nL 153.795505 150.793836 \nL 155.361572 151.802838 \nL 157.275543 152.563069 \nL 159.573772 153.028988 \nL 162.298786 153.144547 \nL 165.495651 152.841198 \nL 169.206054 152.036685 \nL 171.263694 151.41716 \nL 173.458799 150.635825 \nL 175.79057 149.679548 \nL 178.255231 148.535352 \nL 180.845209 147.191029 \nL 183.548202 145.63595 \nL 186.346175 143.862125 \nL 189.214314 141.865506 \nL 192.120041 139.647572 \nL 195.022161 137.217079 \nL 197.870348 134.591966 \nL 200.605106 131.801139 \nL 203.158442 128.885992 \nL 205.455488 125.901238 \nL 207.417177 122.914699 \nL 208.964124 120.005702 \nL 210.02154 117.261738 \nL 210.524916 114.773385 \nL 210.425904 112.627692 \nL 209.697644 110.900756 \nL 208.338697 109.650412 \nL 206.374801 108.910302 \nL 203.858028 108.686411 \nL 200.863242 108.956849 \nL 197.482326 109.674892 \nL 193.817063 110.774886 \nL 189.971662 112.179748 \nL 186.045971 113.80885 \nL 178.300865 117.440082 \nL 171.133957 121.174741 \nL 164.862639 124.719121 \nL 159.606105 127.957885 \nL 155.348643 130.890278 \nL 151.998713 133.568336 \nL 149.432131 136.055328 \nL 147.51924 138.404703 \nL 146.139959 140.653176 \nL 145.190871 142.821348 \nL 144.587534 144.917308 \nL 144.264163 146.940698 \nL 144.172042 148.886083 \nL 144.277483 150.745295 \nL 144.559822 152.508848 \nL 145.009688 154.166509 \nL 145.627682 155.707315 \nL 146.423484 157.119093 \nL 147.415395 158.387637 \nL 148.630261 159.495523 \nL 150.103696 160.420578 \nL 151.880508 161.133899 \nL 154.015126 161.597351 \nL 156.571728 161.760451 \nL 159.623531 161.556611 \nL 163.250382 160.898904 \nL 167.533228 159.675986 \nL 169.943738 158.810429 \nL 172.543294 157.749675 \nL 175.336145 156.472626 \nL 178.322898 154.957302 \nL 181.499204 153.181604 \nL 184.85418 151.124466 \nL 188.368571 148.767461 \nL 192.012738 146.096992 \nL 195.744534 143.107081 \nL 199.507314 139.802768 \nL 203.228314 136.203992 \nL 206.817868 132.349624 \nL 210.169919 128.301171 \nL 213.164427 124.145314 \nL 215.672134 119.994338 \nL 217.562028 115.983325 \nL 218.711336 112.263285 \nL 219.017332 108.98997 \nL 218.409504 106.308982 \nL 216.860098 104.339213 \nL 214.390773 103.157482 \nL 211.073616 102.787742 \nL 207.025715 103.197686 \nL 202.398008 104.303757 \nL 197.360405 105.98362 \nL 192.085947 108.093218 \nL 186.736731 110.484681 \nL 176.349834 115.589855 \nL 166.991347 120.49999 \nL 155.596319 126.757913 \nL 149.770466 130.168647 \nL 145.175867 133.118709 \nL 141.595556 135.756242 \nL 138.812573 138.199863 \nL 136.630537 140.529501 \nL 134.880861 142.791348 \nL 133.422992 145.007122 \nL 130.94053 149.315846 \nL 129.120225 152.418455 \nL 127.796683 154.408354 \nL 126.315027 156.322773 \nL 124.617626 158.148776 \nL 122.646185 159.869716 \nL 120.340019 161.462494 \nL 117.635398 162.893643 \nL 114.466479 164.114012 \nL 112.687515 164.623822 \nL 110.768688 165.051782 \nL 108.703295 165.383947 \nL 106.485914 165.603801 \nL 104.112966 165.691956 \nL 101.583444 165.625873 \nL 98.899793 165.379688 \nL 96.068973 164.924163 \nL 93.103676 164.226881 \nL 90.023705 163.252756 \nL 86.857422 161.965021 \nL 83.643165 160.326797 \nL 80.430479 158.303405 \nL 77.2809 155.865505 \nL 74.26802 152.993059 \nL 71.476427 149.679978 \nL 68.999265 145.93915 \nL 66.93408 141.80714 \nL 65.376969 137.347803 \nL 64.415303 132.653738 \nL 64.119672 127.844612 \nL 64.536164 123.061749 \nL 65.6802 118.45897 \nL 67.533178 114.190558 \nL 70.042767 110.397949 \nL 73.126978 107.19736 \nL 76.681388 104.670412 \nL 80.588331 102.859186 \nL 84.726478 101.766225 \nL 88.979454 101.359002 \nL 93.242498 101.577452 \nL 97.426697 102.342966 \nL 101.460925 103.567395 \nL 105.291839 105.160797 \nL 108.882517 107.037388 \nL 112.210326 109.119545 \nL 115.264446 111.340006 \nL 118.043388 113.642592 \nL 120.55275 115.981922 \nL 122.803239 118.322486 \nL 124.809063 120.637365 \nL 126.586623 122.906856 \nL 128.153498 125.117141 \nL 130.726953 129.327098 \nL 132.668911 133.23244 \nL 134.105745 136.83231 \nL 135.145635 140.143481 \nL 135.877399 143.190626 \nL 136.371496 146.0008 \nL 136.781616 149.829207 \nL 136.902276 153.264117 \nL 136.807049 156.373083 \nL 136.530159 159.211424 \nL 136.075825 161.824547 \nL 135.42335 164.250495 \nL 134.528446 166.522032 \nL 133.763821 167.964893 \nL 132.832971 169.359312 \nL 131.700803 170.711473 \nL 130.323858 172.025674 \nL 128.648764 173.303099 \nL 126.610517 174.539782 \nL 124.130775 175.723292 \nL 121.116565 176.827478 \nL 117.460172 177.804344 \nL 113.041735 178.57177 \nL 110.507763 178.83771 \nL 107.73724 178.99574 \nL 104.716935 179.017019 \nL 101.43646 178.866124 \nL 97.889902 178.500076 \nL 94.077947 177.867515 \nL 90.010568 176.908162 \nL 85.710306 175.552887 \nL 81.216092 173.724767 \nL 76.587421 171.341635 \nL 71.90851 168.32073 \nL 67.291691 164.586038 \nL 62.879096 160.078667 \nL 58.841219 154.770217 \nL 55.37099 148.67804 \nL 52.672083 141.880242 \nL 50.941279 134.526779 \nL 50.34612 126.842282 \nL 51.001128 119.116611 \nL 52.947613 111.681327 \nL 56.142297 104.874223 \nL 60.458696 98.998293 \nL 65.701751 94.284274 \nL 71.632506 90.865619 \nL 77.996905 88.7709 \nL 84.552432 87.933657 \nL 91.087858 88.214848 \nL 97.434274 89.431024 \nL 103.467981 91.381624 \nL 109.107437 93.870978 \nL 114.306819 96.723142 \nL 119.048356 99.789794 \nL 123.334938 102.952552 \nL 127.183766 106.121542 \nL 130.621293 109.231814 \nL 133.679432 112.238948 \nL 136.392818 115.114587 \nL 140.926742 120.414966 \nL 144.496713 125.091845 \nL 148.574901 131.004757 \nL 152.654688 137.108869 \nL 154.453308 139.506308 \nL 156.245008 141.511819 \nL 158.120583 143.142891 \nL 160.15621 144.404065 \nL 161.254607 144.893843 \nL 162.416398 145.287053 \nL 163.648057 145.580701 \nL 164.955407 145.771062 \nL 166.343553 145.853692 \nL 167.816779 145.823508 \nL 169.378391 145.674855 \nL 171.030535 145.401621 \nL 172.773934 144.997408 \nL 174.607593 144.455739 \nL 176.528446 143.77033 \nL 178.530951 142.93547 \nL 180.606645 141.94646 \nL 182.74367 140.80017 \nL 184.926308 139.495703 \nL 187.134535 138.035126 \nL 189.343658 136.424302 \nL 191.524106 134.673738 \nL 193.641413 132.799407 \nL 195.65651 130.823435 \nL 197.526382 128.774572 \nL 199.205158 126.688265 \nL 200.645688 124.606242 \nL 201.801583 122.575471 \nL 202.629666 120.646422 \nL 203.092646 118.870676 \nL 203.161849 117.297954 \nL 202.819688 115.972884 \nL 202.061543 114.931783 \nL 200.896843 114.199941 \nL 199.349073 113.789682 \nL 197.454698 113.69967 \nL 195.261068 113.9154 \nL 192.823526 114.410952 \nL 190.202099 115.151671 \nL 187.458091 116.097358 \nL 181.835806 118.434802 \nL 176.369077 121.10726 \nL 171.357102 123.870647 \nL 166.978293 126.572607 \nL 163.309293 129.139762 \nL 160.35427 131.551325 \nL 158.073358 133.813475 \nL 156.405187 135.940912 \nL 155.282622 137.946232 \nL 154.642661 139.835243 \nL 154.432024 141.605824 \nL 154.609831 143.248428 \nL 155.148441 144.747038 \nL 156.033176 146.079878 \nL 157.261409 147.219648 \nL 158.841197 148.133212 \nL 160.78947 148.780801 \nL 163.129588 149.114979 \nL 165.887857 149.079652 \nL 169.088443 148.60967 \nL 172.745854 147.63189 \nL 176.854111 146.069098 \nL 179.066266 145.045076 \nL 181.371884 143.848661 \nL 183.757161 142.474067 \nL 186.203564 140.91824 \nL 188.687168 139.181865 \nL 191.178089 137.270483 \nL 193.640107 135.195697 \nL 196.030565 132.97633 \nL 198.300672 130.639467 \nL 200.396351 128.221132 \nL 202.259712 125.766453 \nL 203.831247 123.329058 \nL 205.052679 120.969538 \nL 205.870448 118.752873 \nL 206.239481 116.744836 \nL 206.126977 115.00763 \nL 205.515689 113.595166 \nL 204.406287 112.548585 \nL 202.818322 111.892681 \nL 200.789611 111.633792 \nL 198.374012 111.759631 \nL 195.637817 112.240972 \nL 192.65526 113.035075 \nL 189.5037 114.090141 \nL 186.259056 115.35023 \nL 179.764943 118.267468 \nL 173.631327 121.406831 \nL 168.154797 124.511037 \nL 163.481334 127.447725 \nL 159.643521 130.176259 \nL 156.601937 132.707437 \nL 154.279512 135.071681 \nL 152.585745 137.29983 \nL 151.431906 139.414256 \nL 150.739552 141.426531 \nL 150.444599 143.338335 \nL 150.498681 145.143458 \nL 150.868995 146.8297 \nL 151.537414 148.380158 \nL 152.499322 149.773765 \nL 153.762428 150.985079 \nL 155.345592 151.983392 \nL 157.277592 152.731327 \nL 159.595586 153.182941 \nL 162.342843 153.281614 \nL 165.565069 152.958039 \nL 169.304382 152.129012 \nL 171.377849 151.495284 \nL 173.589647 150.698262 \nL 175.938881 149.72468 \nL 178.421615 148.561454 \nL 181.030032 147.196302 \nL 183.751494 145.618575 \nL 186.567514 143.820351 \nL 189.452707 141.797766 \nL 192.373776 139.552622 \nL 195.288688 137.0942 \nL 198.146144 134.441147 \nL 200.885587 131.62333 \nL 203.437935 128.68332 \nL 205.727267 125.677187 \nL 207.673629 122.674228 \nL 209.197011 119.755228 \nL 210.222406 117.008962 \nL 210.685611 114.526925 \nL 210.539163 112.396544 \nL 209.757684 110.693594 \nL 208.341721 109.474859 \nL 206.319364 108.772255 \nL 203.745155 108.589543 \nL 200.696315 108.90233 \nL 197.26674 109.661502 \nL 193.559699 110.799321 \nL 189.680282 112.237173 \nL 185.728614 113.893545 \nL 177.954275 117.561572 \nL 170.782887 121.312793 \nL 164.523526 124.860341 \nL 159.287686 128.095542 \nL 155.053833 131.022354 \nL 151.726577 133.695414 \nL 149.179466 136.179025 \nL 147.281661 138.526795 \nL 145.912575 140.775215 \nL 144.968654 142.944587 \nL 144.365482 145.04277 \nL 144.037334 147.069311 \nL 143.935493 149.018808 \nL 144.026162 150.883276 \nL 144.288422 152.65353 \nL 144.712479 154.319769 \nL 145.298327 155.871592 \nL 146.054838 157.297568 \nL 146.999301 158.584438 \nL 148.157333 159.715997 \nL 149.563127 160.671652 \nL 151.259912 161.424531 \nL 153.300479 161.939118 \nL 155.747497 162.16826 \nL 158.673162 162.049503 \nL 162.157404 161.500848 \nL 166.283376 160.416403 \nL 168.611751 159.632774 \nL 171.128244 158.663125 \nL 173.838815 157.486653 \nL 176.74636 156.081336 \nL 179.849497 154.424543 \nL 183.141095 152.493973 \nL 186.60653 150.269041 \nL 190.22171 147.732789 \nL 193.950927 144.874408 \nL 197.7447 141.692412 \nL 201.53786 138.198393 \nL 205.248213 134.421154 \nL 208.776272 130.410798 \nL 212.006618 126.242105 \nL 214.811468 122.016271 \nL 217.056893 117.859901 \nL 218.6118 113.920196 \nL 219.359262 110.355676 \nL 219.209123 107.322602 \nL 218.10998 104.958418 \nL 216.058347 103.364797 \nL 213.102781 102.593756 \nL 209.341564 102.640048 \nL 204.913913 103.442107 \nL 199.986156 104.891459 \nL 194.735486 106.848578 \nL 189.334284 109.16146 \nL 183.937424 111.683102 \nL 173.643694 116.864737 \nL 160.526792 123.872361 \nL 153.617469 127.733042 \nL 148.091308 131.013516 \nL 143.752123 133.866168 \nL 140.375156 136.43753 \nL 137.74387 138.838452 \nL 135.666032 141.140372 \nL 133.978375 143.382514 \nL 131.888968 146.666296 \nL 128.090161 152.920901 \nL 126.66154 154.879786 \nL 125.04749 156.755403 \nL 123.18912 158.531871 \nL 121.026564 160.188132 \nL 118.497792 161.694625 \nL 115.538806 163.008656 \nL 113.877945 163.575095 \nL 112.08591 164.068283 \nL 110.155676 164.476202 \nL 108.081164 164.784585 \nL 105.857703 164.976627 \nL 103.482622 165.032699 \nL 100.955984 164.930125 \nL 98.281468 164.643051 \nL 95.46743 164.142468 \nL 92.528098 163.396489 \nL 89.484902 162.370956 \nL 86.36784 161.030529 \nL 83.216776 159.340374 \nL 80.082502 157.268555 \nL 77.027305 154.789198 \nL 74.124778 151.886431 \nL 71.458487 148.558881 \nL 69.119269 144.824355 \nL 67.200927 140.724095 \nL 65.794352 136.325735 \nL 64.980446 131.724055 \nL 64.822517 127.038647 \nL 65.359219 122.408046 \nL 66.599205 117.980483 \nL 68.518605 113.902211 \nL 71.06195 110.305047 \nL 74.146565 107.295121 \nL 77.669776 104.944718 \nL 81.51767 103.288375 \nL 85.574061 102.323571 \nL 89.728382 102.015397 \nL 93.881674 102.303888 \nL 97.950319 103.112546 \nL 101.86765 104.356656 \nL 105.583818 105.950416 \nL 109.064442 107.812353 \nL 112.288562 109.868932 \nL 115.246308 112.056454 \nL 117.936582 114.321736 \nL 120.364942 116.621764 \nL 122.541762 118.922812 \nL 124.48071 121.199254 \nL 126.197524 123.432263 \nL 127.709046 125.608577 \nL 130.184906 129.759198 \nL 132.041688 133.617037 \nL 133.40004 137.180566 \nL 134.362919 140.465398 \nL 135.0144 143.495009 \nL 135.420543 146.295413 \nL 135.631275 148.892316 \nL 135.656469 152.457878 \nL 135.394098 155.689822 \nL 134.871471 158.647087 \nL 134.078208 161.378087 \nL 133.378678 163.092916 \nL 132.518802 164.734626 \nL 131.470279 166.311174 \nL 130.196944 167.828328 \nL 128.653703 169.288775 \nL 126.785271 170.690551 \nL 124.524866 172.024489 \nL 121.793172 173.27015 \nL 118.498151 174.389577 \nL 114.536798 175.31794 \nL 112.272319 175.679638 \nL 109.800768 175.950015 \nL 107.109834 176.106573 \nL 104.189073 176.121723 \nL 101.031067 175.961999 \nL 97.632937 175.587327 \nL 93.998277 174.950455 \nL 90.139546 173.996708 \nL 86.080907 172.66433 \nL 81.861471 170.885736 \nL 77.53872 168.590084 \nL 73.191748 165.707641 \nL 68.923755 162.176323 \nL 64.862899 157.950633 \nL 61.160516 153.012803 \nL 57.985547 147.385139 \nL 55.514455 141.141766 \nL 53.916464 134.416943 \nL 53.335317 127.406596 \nL 53.870104 120.360191 \nL 55.558927 113.561705 \nL 58.369457 107.301312 \nL 62.199344 101.842574 \nL 66.887003 97.391917 \nL 72.23067 94.077132 \nL 78.011432 91.939174 \nL 84.015387 90.937715 \nL 90.051095 90.967426 \nL 95.960399 91.879933 \nL 101.622673 93.506314 \nL 106.953804 95.676247 \nL 111.901887 98.231904 \nL 116.441324 101.036231 \nL 120.566729 103.976481 \nL 124.287362 106.964187 \nL 127.622509 109.933003 \nL 130.597852 112.83543 \nL 133.242745 115.639228 \nL 135.588243 118.324025 \nL 139.505879 123.297003 \nL 142.590647 127.728067 \nL 146.118569 133.417514 \nL 150.455666 140.71278 \nL 152.020479 142.977093 \nL 153.632524 144.9047 \nL 155.368907 146.505122 \nL 157.297865 147.776212 \nL 159.481458 148.703651 \nL 160.68682 149.030556 \nL 161.976955 149.260371 \nL 163.358226 149.387634 \nL 164.836552 149.406054 \nL 166.417261 149.308517 \nL 168.104905 149.087143 \nL 169.903005 148.73337 \nL 171.813742 148.238081 \nL 173.83756 147.59183 \nL 175.972706 146.78511 \nL 178.214678 145.808771 \nL 180.555603 144.654551 \nL 182.98356 143.315744 \nL 185.481852 141.788064 \nL 188.028288 140.070642 \nL 190.594539 138.167205 \nL 193.145625 136.087351 \nL 195.63968 133.847839 \nL 198.028088 131.473791 \nL 200.256144 128.999623 \nL 202.264367 126.469463 \nL 203.990563 123.936867 \nL 205.37264 121.463536 \nL 206.352136 119.116947 \nL 206.87822 116.966831 \nL 206.911806 115.080694 \nL 206.429342 113.518762 \nL 205.425703 112.328977 \nL 203.915736 111.542733 \nL 201.934114 111.172077 \nL 199.53339 111.208914 \nL 196.780482 111.626317 \nL 193.752005 112.381806 \nL 190.529101 113.421999 \nL 187.192399 114.687885 \nL 183.817673 116.119945 \nL 177.214383 119.266477 \nL 171.132607 122.507774 \nL 165.813063 125.630268 \nL 161.351264 128.542624 \nL 157.74179 131.233136 \nL 154.920303 133.728637 \nL 152.795493 136.066009 \nL 151.270207 138.276928 \nL 150.253952 140.38208 \nL 149.669379 142.390747 \nL 149.45496 144.302679 \nL 149.565462 146.11044 \nL 149.97128 147.801365 \nL 150.657278 149.358723 \nL 151.621542 150.762119 \nL 152.874219 151.987126 \nL 154.436481 153.004278 \nL 156.339495 153.777535 \nL 158.623174 154.262252 \nL 161.334294 154.402857 \nL 164.523328 154.13047 \nL 168.239026 153.361124 \nL 170.307027 152.759644 \nL 172.519435 151.99569 \nL 174.877001 151.055101 \nL 177.377657 149.923576 \nL 180.015661 148.587244 \nL 182.780626 147.03345 \nL 185.656425 145.251791 \nL 188.620039 143.23546 \nL 191.640399 140.982866 \nL 194.67734 138.499553 \nL 197.6808 135.800275 \nL 200.590522 132.911128 \nL 203.336425 129.871458 \nL 205.839941 126.735173 \nL 208.016538 123.571043 \nL 209.779578 120.46154 \nL 211.045445 117.499789 \nL 211.739715 114.784453 \nL 211.803811 112.412746 \nL 211.201296 110.47213 \nL 209.922877 109.031832 \nL 207.989151 108.135482 \nL 205.450398 107.796376 \nL 202.383277 107.996255 \nL 198.884765 108.688073 \nL 195.064316 109.802109 \nL 191.035371 111.254405 \nL 186.907497 112.955822 \nL 182.780062 114.820283 \nL 174.849358 118.745271 \nL 167.721916 122.58522 \nL 161.628769 126.120556 \nL 156.615304 129.300202 \nL 152.613158 132.165 \nL 149.497879 134.787606 \nL 147.127147 137.237883 \nL 145.362856 139.568579 \nL 144.082187 141.813026 \nL 143.181905 143.988346 \nL 142.578828 146.100198 \nL 142.208345 148.147186 \nL 142.022099 150.124201 \nL 142.015706 152.943994 \nL 142.278323 155.568826 \nL 142.784218 157.977891 \nL 143.543369 160.151161 \nL 144.209377 161.457941 \nL 145.025682 162.641246 \nL 146.018791 163.689819 \nL 147.222473 164.588568 \nL 148.678698 165.316988 \nL 150.43874 165.847133 \nL 152.564308 166.140935 \nL 155.128429 166.146717 \nL 158.215577 165.794777 \nL 161.920161 164.992066 \nL 166.341841 163.616431 \nL 168.85179 162.666397 \nL 171.575145 161.511839 \nL 174.519676 160.127852 \nL 177.689595 158.487854 \nL 181.084048 156.564316 \nL 184.695247 154.329912 \nL 188.50625 151.759289 \nL 192.488393 148.83153 \nL 196.598507 145.533478 \nL 200.776096 141.86395 \nL 204.940834 137.838767 \nL 208.990928 133.496275 \nL 212.802967 128.902755 \nL 216.234145 124.15667 \nL 219.127594 119.390358 \nL 221.321444 114.767578 \nL 222.661631 110.475362 \nL 223.017561 106.709585 \nL 222.29874 103.654891 \nL 220.469393 101.46168 \nL 217.557842 100.224513 \nL 213.657759 99.967082 \nL 208.920256 100.638056 \nL 203.53787 102.119303 \nL 197.723686 104.244738 \nL 191.68987 106.824973 \nL 185.629509 109.6721 \nL 174.03875 115.534167 \nL 155.242499 125.478788 \nL 145.452137 130.838023 \nL 140.637885 133.703262 \nL 136.882536 136.227856 \nL 133.931819 138.552435 \nL 131.563057 140.765468 \nL 129.588766 142.913862 \nL 126.232206 147.070997 \nL 123.785428 150.040827 \nL 122.020684 151.918068 \nL 120.063766 153.685036 \nL 117.849639 155.311212 \nL 115.318556 156.757802 \nL 112.416234 157.974063 \nL 110.810954 158.475562 \nL 109.096395 158.892632 \nL 107.268954 159.213387 \nL 105.326462 159.424244 \nL 103.268603 159.509804 \nL 101.09742 159.452783 \nL 98.817917 159.234032 \nL 96.438737 158.832663 \nL 93.972913 158.226385 \nL 91.438648 157.392029 \nL 88.860094 156.306388 \nL 86.268023 154.947403 \nL 83.700332 153.295717 \nL 81.202199 151.336662 \nL 78.825775 149.062578 \nL 76.629262 146.475379 \nL 74.675193 143.589176 \nL 73.027888 140.432563 \nL 71.750093 137.050261 \nL 70.898949 133.503608 \nL 70.521639 129.869501 \nL 70.651189 126.237566 \nL 71.302977 122.705504 \nL 72.472503 119.373032 \nL 74.13485 116.334955 \nL 76.246015 113.67436 \nL 78.745959 111.456847 \nL 81.562967 109.726538 \nL 84.618729 108.504403 \nL 87.833434 107.788889 \nL 91.130317 107.558557 \nL 94.439256 107.776099 \nL 97.699195 108.393033 \nL 100.859456 109.354431 \nL 103.880031 110.603157 \nL 106.73114 112.083239 \nL 109.392277 113.742427 \nL 111.850956 115.533719 \nL 114.101374 117.41622 \nL 116.143081 119.355332 \nL 117.97976 121.322539 \nL 119.618143 123.2949 \nL 121.067091 125.254412 \nL 122.33683 127.187302 \nL 123.438329 129.083352 \nL 125.18139 132.738029 \nL 126.382951 136.185265 \nL 127.120248 139.415557 \nL 127.456931 142.433014 \nL 127.441473 145.24867 \nL 127.10707 147.876132 \nL 126.472303 150.328742 \nL 125.54211 152.617537 \nL 124.308812 154.749607 \nL 122.753119 156.726427 \nL 120.845156 158.54181 \nL 118.545766 160.179212 \nL 115.808472 161.608016 \nL 114.259861 162.229572 \nL 112.582804 162.778511 \nL 110.7713 163.244573 \nL 108.82001 163.615419 \nL 106.724676 163.876373 \nL 104.482638 164.010175 \nL 102.093484 163.996764 \nL 99.559836 163.813135 \nL 96.888269 163.433328 \nL 94.09038 162.828593 \nL 91.183973 161.96785 \nL 88.194299 160.818512 \nL 85.155301 159.347832 \nL 82.110679 157.524815 \nL 79.114614 155.322829 \nL 76.231913 152.722926 \nL 73.537257 149.717728 \nL 71.113319 146.315669 \nL 69.047492 142.54511 \nL 67.42718 138.457651 \nL 66.333802 134.129846 \nL 65.836004 129.662534 \nL 65.982838 125.177109 \nL 66.797962 120.808642 \nL 68.275861 116.696308 \nL 70.380922 112.972242 \nL 73.049693 109.750513 \nL 76.196068 107.117937 \nL 79.718576 105.128209 \nL 83.508563 103.800047 \nL 87.458109 103.119304 \nL 91.466645 103.044286 \nL 95.445715 103.5129 \nL 99.321708 104.450467 \nL 103.036784 105.776989 \nL 106.548383 107.413117 \nL 109.827772 109.284625 \nL 112.858087 111.325153 \nL 115.632198 113.477654 \nL 118.150624 115.69471 \nL 120.419655 117.938089 \nL 122.449727 120.177876 \nL 124.25409 122.391358 \nL 125.847716 124.561861 \nL 127.246465 126.677644 \nL 129.523442 130.716855 \nL 131.208773 134.47911 \nL 132.413397 137.96368 \nL 133.231086 141.185348 \nL 133.737407 144.166107 \nL 133.990515 146.930364 \nL 134.032821 149.502297 \nL 133.892908 151.904501 \nL 133.58736 154.157392 \nL 133.122274 156.27898 \nL 132.494368 158.284841 \nL 131.691671 160.18812 \nL 130.693766 161.999407 \nL 129.471666 163.726383 \nL 127.98734 165.373081 \nL 126.19302 166.938549 \nL 124.030435 168.414644 \nL 121.430275 169.782539 \nL 118.312425 171.007406 \nL 114.587893 172.030577 \nL 112.469064 172.439008 \nL 110.164033 172.758397 \nL 107.662459 172.969129 \nL 104.955651 173.047347 \nL 102.037535 172.964352 \nL 98.905882 172.68605 \nL 95.563869 172.172517 \nL 92.02198 171.377844 \nL 88.300267 170.250409 \nL 84.430895 168.73385 \nL 80.460846 166.769005 \nL 76.454529 164.297172 \nL 72.495845 161.264991 \nL 68.689175 157.631101 \nL 65.158483 153.374507 \nL 62.043759 148.504089 \nL 59.494142 143.068069 \nL 57.657438 137.161577 \nL 56.666595 130.929994 \nL 56.624572 124.565735 \nL 57.590097 118.296987 \nL 59.567291 112.368647 \nL 62.501784 107.017902 \nL 66.284765 102.448791 \nL 70.764404 98.810841 \nL 75.762425 96.186154 \nL 81.092339 94.586933 \nL 86.576003 93.962845 \nL 92.056064 94.215375 \nL 97.403337 95.215352 \nL 102.51933 96.820122 \nL 107.335081 98.887813 \nL 111.807641 101.287538 \nL 115.915481 103.905441 \nL 119.653718 106.647209 \nL 123.029761 109.438062 \nL 126.059622 112.221059 \nL 128.764957 114.954621 \nL 131.17081 117.609773 \nL 133.303914 120.167478 \nL 136.860351 124.950387 \nL 139.644183 129.269992 \nL 141.845285 133.139891 \nL 144.405858 138.176292 \nL 147.727886 144.826987 \nL 148.999983 146.961645 \nL 150.349676 148.821942 \nL 151.839177 150.412983 \nL 153.527039 151.73019 \nL 155.47072 152.758431 \nL 157.728283 153.470808 \nL 158.993252 153.69656 \nL 160.358973 153.827153 \nL 161.832879 153.855211 \nL 163.422229 153.772331 \nL 165.13395 153.569048 \nL 166.974394 153.234842 \nL 168.949031 152.758173 \nL 171.062052 152.126593 \nL 173.315876 151.326925 \nL 175.710527 150.345565 \nL 178.242902 149.168938 \nL 180.905905 147.784124 \nL 183.68746 146.179723 \nL 186.569436 144.34698 \nL 189.526522 142.281187 \nL 192.525128 139.983371 \nL 195.522461 137.462231 \nL 198.46592 134.73619 \nL 201.292999 131.835392 \nL 203.931993 128.803393 \nL 206.303686 125.69812 \nL 208.324243 122.591698 \nL 209.90941 119.568717 \nL 210.979861 116.722597 \nL 211.467416 114.149997 \nL 211.321449 111.943539 \nL 210.514676 110.183607 \nL 209.047345 108.930364 \nL 206.949027 108.217365 \nL 204.277445 108.047973 \nL 201.114378 108.395419 \nL 197.559147 109.206541 \nL 193.720722 110.408523 \nL 189.709587 111.917335 \nL 185.630501 113.646376 \nL 177.627404 117.449038 \nL 170.272993 121.305557 \nL 163.877178 124.925103 \nL 158.543881 128.204964 \nL 154.240995 131.158329 \nL 150.862742 133.848241 \nL 148.273785 136.345144 \nL 146.336153 138.706552 \nL 144.923639 140.97122 \nL 143.928197 143.160724 \nL 143.261645 145.283756 \nL 142.854858 147.340594 \nL 142.655779 149.326733 \nL 142.627074 151.235402 \nL 142.851915 153.936699 \nL 143.365061 156.421493 \nL 143.866344 157.945348 \nL 144.505012 159.353765 \nL 145.297458 160.637382 \nL 146.267079 161.784596 \nL 147.444719 162.780369 \nL 148.869372 163.604702 \nL 150.589075 164.2307 \nL 152.661847 164.622036 \nL 155.156406 164.729699 \nL 158.152207 164.487918 \nL 161.737964 163.809289 \nL 166.007288 162.57954 \nL 168.426697 161.713817 \nL 171.049179 160.653202 \nL 173.88219 159.374534 \nL 176.929973 157.853083 \nL 180.19219 156.063187 \nL 183.662261 153.979275 \nL 187.325352 151.577397 \nL 191.156078 148.837406 \nL 195.115967 145.745856 \nL 199.15089 142.299726 \nL 203.18872 138.510868 \nL 207.137658 134.410965 \nL 210.885831 130.056499 \nL 214.302839 125.532869 \nL 217.244008 120.956496 \nL 219.55787 116.473532 \nL 221.09705 112.253767 \nL 221.732017 108.478989 \nL 221.366167 105.326014 \nL 219.949914 102.946349 \nL 217.490845 101.445886 \nL 214.057282 100.869119 \nL 209.773763 101.192026 \nL 204.808702 102.325826 \nL 199.356622 104.130978 \nL 193.618444 106.438049 \nL 187.783548 109.070499 \nL 176.44874 114.683527 \nL 161.752315 122.42403 \nL 150.632071 128.474996 \nL 145.067091 131.686456 \nL 140.713244 134.454107 \nL 137.31792 136.942071 \nL 134.646897 139.267179 \nL 132.496712 141.500664 \nL 130.696646 143.678731 \nL 127.608279 147.904459 \nL 125.329938 150.93255 \nL 123.67373 152.856147 \nL 121.826307 154.680161 \nL 119.723657 156.37921 \nL 117.304666 157.920649 \nL 114.510741 159.260857 \nL 111.287504 160.340373 \nL 109.500098 160.75801 \nL 107.589346 161.077954 \nL 105.552318 161.285583 \nL 103.387983 161.364149 \nL 101.097787 161.294651 \nL 98.686347 161.055803 \nL 96.162246 160.624164 \nL 93.538916 159.974421 \nL 90.835592 159.079975 \nL 88.078257 157.913853 \nL 85.300513 156.45003 \nL 82.544231 154.665263 \nL 79.859843 152.5414 \nL 77.306064 150.068186 \nL 74.948854 147.246372 \nL 72.859435 144.090948 \nL 71.111244 140.633994 \nL 69.775866 136.926735 \nL 68.918139 133.040146 \nL 68.59087 129.063615 \nL 68.829752 125.101328 \nL 69.649269 121.266395 \nL 71.040241 117.673236 \nL 72.969559 114.429026 \nL 75.382256 111.625507 \nL 78.205656 109.332316 \nL 81.354995 107.592743 \nL 84.739687 106.422488 \nL 88.26939 105.81127 \nL 91.859149 105.726717 \nL 95.433218 106.119741 \nL 98.927406 106.930398 \nL 102.290052 108.093468 \nL 105.4819 109.54326 \nL 108.475175 111.2172 \nL 111.252192 113.058321 \nL 113.803745 115.016645 \nL 116.127481 117.049709 \nL 118.226366 119.122459 \nL 120.107335 121.20673 \nL 121.780121 123.280476 \nL 123.2563 125.326923 \nL 124.548518 127.333705 \nL 126.633447 131.196109 \nL 128.13749 134.828704 \nL 129.153822 138.221407 \nL 129.761175 141.380606 \nL 130.02196 144.32114 \nL 129.982221 147.061366 \nL 129.672517 149.620131 \nL 129.10915 152.014944 \nL 128.29538 154.260755 \nL 127.222444 156.369031 \nL 125.870321 158.346742 \nL 124.208268 160.195041 \nL 122.195289 161.907352 \nL 119.780806 163.466518 \nL 116.906012 164.840632 \nL 115.276016 165.442892 \nL 113.506684 165.977179 \nL 111.590036 166.432406 \nL 109.518663 166.79509 \nL 107.286183 167.049007 \nL 104.887822 167.174828 \nL 102.321153 167.14979 \nL 99.587013 166.947427 \nL 96.690612 166.53743 \nL 93.642855 165.885712 \nL 90.461829 164.954802 \nL 87.174444 163.704709 \nL 83.818101 162.094401 \nL 80.442205 160.084098 \nL 80.442205 160.084098 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd1ae6d9c3a\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,0], result_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
    ]
   },
   {
diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 76933707..426d2801 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -15,6 +15,8 @@ def __init__(
 
         if solver == "euler":
             self.solver = self.euler
+        elif solver == "rk4":
+            self.solver = self.runge_kutta_4
         else:
             raise ValueError(f"Unrecognized solver {solver}")
 
@@ -44,6 +46,35 @@ def euler(self, nt):
 
         # reformat output to contain desired (observed) variables
         return torch.stack([pred[var] for var in self.outvar], dim=1)
+    
+    def runge_kutta_4(self,nt):
+        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
+
+        for n in range(nt - 1):
+            # create dictionary containing values from previous time step
+            prev_val = {var: pred[var][[n]] for var in self.var_names}
+
+            k_1 = prev_val
+            k_2 = {}
+            k_3 = {}
+            k_4 = {}
+
+            for var in self.var_names:
+                k_2[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
+            
+            for var in self.var_names:
+                k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt
+            
+            for var in self.var_names:
+                k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs) * self.dt
+            
+            for var in self.var_names:
+                new_val = prev_val[var] + (self.ode[var](k_1, self.coeffs)/6 + self.ode[var](k_2, self.coeffs)/3 + self.ode[var](k_3, self.coeffs)/3 + self.ode[var](k_4, self.coeffs)/6) * self.dt
+                pred[var] = torch.cat([pred[var], new_val])
+
+        # reformat output to contain desired (observed) variables
+        return torch.stack([pred[var] for var in self.outvar], dim=1)
+
 
     def forward(self, nt):
         return self.solver(nt)

From 8ec55d12fb57ed7419772affa65f8dc1fab28ec5 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Thu, 19 Aug 2021 21:40:04 +0000
Subject: [PATCH 06/73] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 .../ode/lorenz63/Lorenz63DataGeneration.m     |  2 +-
 examples/ode/lorenz63/Lorenz63Test.ipynb      |  2 +-
 torchts/nn/models/ode.py                      | 30 +++++++++++++------
 3 files changed, 23 insertions(+), 11 deletions(-)

diff --git a/examples/ode/lorenz63/Lorenz63DataGeneration.m b/examples/ode/lorenz63/Lorenz63DataGeneration.m
index 87f8d1eb..be418eeb 100644
--- a/examples/ode/lorenz63/Lorenz63DataGeneration.m
+++ b/examples/ode/lorenz63/Lorenz63DataGeneration.m
@@ -40,4 +40,4 @@
 y_prime(1) = sigma*(y(2)-y(1));
 y_prime(2) = y(1)*(rho-y(3))-y(2);
 y_prime(3) = y(1)*y(2)-beta*y(3);
-end
\ No newline at end of file
+end
diff --git a/examples/ode/lorenz63/Lorenz63Test.ipynb b/examples/ode/lorenz63/Lorenz63Test.ipynb
index 6f648e3a..3919e662 100644
--- a/examples/ode/lorenz63/Lorenz63Test.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Test.ipynb
@@ -273,4 +273,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 426d2801..62b70d1e 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -46,8 +46,8 @@ def euler(self, nt):
 
         # reformat output to contain desired (observed) variables
         return torch.stack([pred[var] for var in self.outvar], dim=1)
-    
-    def runge_kutta_4(self,nt):
+
+    def runge_kutta_4(self, nt):
         pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
 
         for n in range(nt - 1):
@@ -60,22 +60,34 @@ def runge_kutta_4(self,nt):
             k_4 = {}
 
             for var in self.var_names:
-                k_2[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
-            
+                k_2[var] = (
+                    prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
+                )
+
             for var in self.var_names:
-                k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt
-            
+                k_3[var] = (
+                    prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt
+                )
+
             for var in self.var_names:
                 k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs) * self.dt
-            
+
             for var in self.var_names:
-                new_val = prev_val[var] + (self.ode[var](k_1, self.coeffs)/6 + self.ode[var](k_2, self.coeffs)/3 + self.ode[var](k_3, self.coeffs)/3 + self.ode[var](k_4, self.coeffs)/6) * self.dt
+                new_val = (
+                    prev_val[var]
+                    + (
+                        self.ode[var](k_1, self.coeffs) / 6
+                        + self.ode[var](k_2, self.coeffs) / 3
+                        + self.ode[var](k_3, self.coeffs) / 3
+                        + self.ode[var](k_4, self.coeffs) / 6
+                    )
+                    * self.dt
+                )
                 pred[var] = torch.cat([pred[var], new_val])
 
         # reformat output to contain desired (observed) variables
         return torch.stack([pred[var] for var in self.outvar], dim=1)
 
-
     def forward(self, nt):
         return self.solver(nt)
 

From 0fcf33ec049cd2bab542786d8bed91adc61ef8d4 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Thu, 19 Aug 2021 17:42:41 -0400
Subject: [PATCH 07/73] Revert "[pre-commit.ci] auto fixes from pre-commit.com
 hooks"

This reverts commit 8ec55d12fb57ed7419772affa65f8dc1fab28ec5.
---
 .../ode/lorenz63/Lorenz63DataGeneration.m     |  2 +-
 examples/ode/lorenz63/Lorenz63Test.ipynb      |  2 +-
 torchts/nn/models/ode.py                      | 30 ++++++-------------
 3 files changed, 11 insertions(+), 23 deletions(-)

diff --git a/examples/ode/lorenz63/Lorenz63DataGeneration.m b/examples/ode/lorenz63/Lorenz63DataGeneration.m
index be418eeb..87f8d1eb 100644
--- a/examples/ode/lorenz63/Lorenz63DataGeneration.m
+++ b/examples/ode/lorenz63/Lorenz63DataGeneration.m
@@ -40,4 +40,4 @@
 y_prime(1) = sigma*(y(2)-y(1));
 y_prime(2) = y(1)*(rho-y(3))-y(2);
 y_prime(3) = y(1)*y(2)-beta*y(3);
-end
+end
\ No newline at end of file
diff --git a/examples/ode/lorenz63/Lorenz63Test.ipynb b/examples/ode/lorenz63/Lorenz63Test.ipynb
index 3919e662..6f648e3a 100644
--- a/examples/ode/lorenz63/Lorenz63Test.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Test.ipynb
@@ -273,4 +273,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
\ No newline at end of file
diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 62b70d1e..426d2801 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -46,8 +46,8 @@ def euler(self, nt):
 
         # reformat output to contain desired (observed) variables
         return torch.stack([pred[var] for var in self.outvar], dim=1)
-
-    def runge_kutta_4(self, nt):
+    
+    def runge_kutta_4(self,nt):
         pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
 
         for n in range(nt - 1):
@@ -60,34 +60,22 @@ def runge_kutta_4(self, nt):
             k_4 = {}
 
             for var in self.var_names:
-                k_2[var] = (
-                    prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
-                )
-
+                k_2[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
+            
             for var in self.var_names:
-                k_3[var] = (
-                    prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt
-                )
-
+                k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt
+            
             for var in self.var_names:
                 k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs) * self.dt
-
+            
             for var in self.var_names:
-                new_val = (
-                    prev_val[var]
-                    + (
-                        self.ode[var](k_1, self.coeffs) / 6
-                        + self.ode[var](k_2, self.coeffs) / 3
-                        + self.ode[var](k_3, self.coeffs) / 3
-                        + self.ode[var](k_4, self.coeffs) / 6
-                    )
-                    * self.dt
-                )
+                new_val = prev_val[var] + (self.ode[var](k_1, self.coeffs)/6 + self.ode[var](k_2, self.coeffs)/3 + self.ode[var](k_3, self.coeffs)/3 + self.ode[var](k_4, self.coeffs)/6) * self.dt
                 pred[var] = torch.cat([pred[var], new_val])
 
         # reformat output to contain desired (observed) variables
         return torch.stack([pred[var] for var in self.outvar], dim=1)
 
+
     def forward(self, nt):
         return self.solver(nt)
 

From 9580a7c4065e745d7bfc1a1c7eae28e2963f6737 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Thu, 19 Aug 2021 17:44:14 -0400
Subject: [PATCH 08/73] Cleaned up code

---
 .../ode/lorenz63/Lorenz63DataGeneration.m     |  2 +-
 examples/ode/lorenz63/Lorenz63Test.ipynb      |  2 +-
 torchts/nn/models/ode.py                      | 30 +++++++++++++------
 3 files changed, 23 insertions(+), 11 deletions(-)

diff --git a/examples/ode/lorenz63/Lorenz63DataGeneration.m b/examples/ode/lorenz63/Lorenz63DataGeneration.m
index 87f8d1eb..be418eeb 100644
--- a/examples/ode/lorenz63/Lorenz63DataGeneration.m
+++ b/examples/ode/lorenz63/Lorenz63DataGeneration.m
@@ -40,4 +40,4 @@
 y_prime(1) = sigma*(y(2)-y(1));
 y_prime(2) = y(1)*(rho-y(3))-y(2);
 y_prime(3) = y(1)*y(2)-beta*y(3);
-end
\ No newline at end of file
+end
diff --git a/examples/ode/lorenz63/Lorenz63Test.ipynb b/examples/ode/lorenz63/Lorenz63Test.ipynb
index 6f648e3a..3919e662 100644
--- a/examples/ode/lorenz63/Lorenz63Test.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Test.ipynb
@@ -273,4 +273,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 426d2801..62b70d1e 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -46,8 +46,8 @@ def euler(self, nt):
 
         # reformat output to contain desired (observed) variables
         return torch.stack([pred[var] for var in self.outvar], dim=1)
-    
-    def runge_kutta_4(self,nt):
+
+    def runge_kutta_4(self, nt):
         pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
 
         for n in range(nt - 1):
@@ -60,22 +60,34 @@ def runge_kutta_4(self,nt):
             k_4 = {}
 
             for var in self.var_names:
-                k_2[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
-            
+                k_2[var] = (
+                    prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
+                )
+
             for var in self.var_names:
-                k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt
-            
+                k_3[var] = (
+                    prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt
+                )
+
             for var in self.var_names:
                 k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs) * self.dt
-            
+
             for var in self.var_names:
-                new_val = prev_val[var] + (self.ode[var](k_1, self.coeffs)/6 + self.ode[var](k_2, self.coeffs)/3 + self.ode[var](k_3, self.coeffs)/3 + self.ode[var](k_4, self.coeffs)/6) * self.dt
+                new_val = (
+                    prev_val[var]
+                    + (
+                        self.ode[var](k_1, self.coeffs) / 6
+                        + self.ode[var](k_2, self.coeffs) / 3
+                        + self.ode[var](k_3, self.coeffs) / 3
+                        + self.ode[var](k_4, self.coeffs) / 6
+                    )
+                    * self.dt
+                )
                 pred[var] = torch.cat([pred[var], new_val])
 
         # reformat output to contain desired (observed) variables
         return torch.stack([pred[var] for var in self.outvar], dim=1)
 
-
     def forward(self, nt):
         return self.solver(nt)
 

From e48d98e20cae69a633a600b705d6e245bbe3af79 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Thu, 19 Aug 2021 22:28:50 -0400
Subject: [PATCH 09/73] Added Rossler Attractor

---
 .../rosslerAttractorTest.ipynb                | 276 ++++++++++++++++++
 1 file changed, 276 insertions(+)
 create mode 100644 examples/ode/rossler_attractor/rosslerAttractorTest.ipynb

diff --git a/examples/ode/rossler_attractor/rosslerAttractorTest.ipynb b/examples/ode/rossler_attractor/rosslerAttractorTest.ipynb
new file mode 100644
index 00000000..e4444bfd
--- /dev/null
+++ b/examples/ode/rossler_attractor/rosslerAttractorTest.ipynb
@@ -0,0 +1,276 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Lorenz 63 equations\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return -prev_val[\"y\"]-prev_val[\"z\"]\n",
+    "\n",
+    "def y_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x\"]+coeffs[\"alpha\"]*prev_val[\"y\"]\n",
+    "\n",
+    "def z_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"beta\"] + prev_val[\"x\"]*prev_val[\"z\"]-coeffs[\"gamma\"]*prev_val[\"z\"]\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
+    "\n",
+    "# Initial conditions [1,0,0]\n",
+    "ode_init = {\"x\":0, \"y\":0, \"z\":0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"alpha\": 0.2, \"beta\": 0.2, \"gamma\": 5.7}\n"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's Method"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=torch.optim.SGD,\n",
+    "    optimizer_args={\"lr\": 0.01}\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 0.0000e+00,  0.0000e+00,  2.0000e-03],\n",
+       "        [-2.0000e-05,  0.0000e+00,  3.8860e-03],\n",
+       "        ...,\n",
+       "        [-5.3682e+00, -7.8848e+00,  1.7140e-02],\n",
+       "        [-5.2895e+00, -7.9542e+00,  1.7243e-02],\n",
+       "        [-5.2102e+00, -8.0230e+00,  1.7348e-02]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 16
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "<ipython-input-17-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T22:23:09.247585</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m7cec867028\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"37.428478\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10.0 -->\n      <g transform=\"translate(22.105821 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"211.035156\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"77.717523\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −7.5 -->\n      <g transform=\"translate(65.576117 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"118.006568\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −5.0 -->\n      <g transform=\"translate(105.865162 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"158.295614\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −2.5 -->\n      <g transform=\"translate(146.154208 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"198.584659\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.0 -->\n      <g transform=\"translate(190.633097 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"238.873705\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 2.5 -->\n      <g transform=\"translate(230.922142 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"279.16275\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 5.0 -->\n      <g transform=\"translate(271.211188 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"319.451796\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 7.5 -->\n      <g transform=\"translate(311.500233 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"359.740841\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10.0 -->\n      <g transform=\"translate(348.608029 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mb27116798e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"230.26786\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 2.5 -->\n      <g transform=\"translate(13.5625 234.067079)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"199.31972\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 5.0 -->\n      <g transform=\"translate(13.5625 203.118939)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"168.37158\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 7.5 -->\n      <g transform=\"translate(13.5625 172.170798)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"137.42344\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 10.0 -->\n      <g transform=\"translate(7.2 141.222658)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"106.475299\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 12.5 -->\n      <g transform=\"translate(7.2 110.274518)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_16\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"75.527159\"/>\n      </g>\n     </g>\n     <g id=\"text_16\">\n      <!-- 15.0 -->\n      <g transform=\"translate(7.2 79.326378)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_17\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"44.579019\"/>\n      </g>\n     </g>\n     <g id=\"text_17\">\n      <!-- 17.5 -->\n      <g transform=\"translate(7.2 48.378238)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_18\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"13.630879\"/>\n      </g>\n     </g>\n     <g id=\"text_18\">\n      <!-- 20.0 -->\n      <g transform=\"translate(7.2 17.430098)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_19\">\n    <path clip-path=\"url(#p606b68b1aa)\" d=\"M 198.584659 261.216 \nL 198.474494 260.83752 \nL 198.194736 260.784748 \nL 194.216264 260.800851 \nL 202.973743 260.764179 \nL 241.30399 260.44881 \nL 167.797841 260.889295 \nL 241.160016 260.439133 \nL 237.084955 260.437319 \nL 140.055632 260.949529 \nL 171.043327 260.898649 \nL 233.308264 260.651798 \nL 261.0389 260.3424 \nL 273.667177 260.007173 \nL 278.531797 259.695387 \nL 279.302639 259.508234 \nL 279.296861 259.495282 \nL 279.089371 259.419872 \nL 277.934056 259.296887 \nL 274.45926 259.17596 \nL 267.18664 259.170583 \nL 254.450592 259.415177 \nL 207.786383 260.476345 \nL 181.853664 260.750474 \nL 141.594569 260.924444 \nL 89.102747 261.017138 \nL 260.627529 260.520224 \nL 287.057655 260.161694 \nL 303.305708 259.735108 \nL 313.997212 259.255108 \nL 321.832731 258.69821 \nL 327.290757 258.119829 \nL 331.486055 257.489004 \nL 335.202583 256.698028 \nL 337.910441 255.886244 \nL 339.807643 255.115871 \nL 341.454022 254.219064 \nL 342.838205 253.176001 \nL 343.697043 252.284556 \nL 344.396242 251.288444 \nL 344.930178 250.17705 \nL 345.292888 248.939331 \nL 345.478177 247.564009 \nL 345.47953 246.039833 \nL 345.290152 244.355939 \nL 344.903021 242.502294 \nL 344.066699 239.752069 \nL 342.848456 236.67056 \nL 341.230832 233.253397 \nL 339.197046 229.5102 \nL 336.731819 225.468947 \nL 333.822458 221.180294 \nL 330.460109 216.721319 \nL 327.63872 213.327881 \nL 324.561383 209.952966 \nL 321.231586 206.660541 \nL 317.655653 203.521845 \nL 315.139478 201.552423 \nL 312.521629 199.708685 \nL 309.806348 198.014101 \nL 306.99853 196.491734 \nL 304.103723 195.16369 \nL 301.12806 194.050582 \nL 298.078256 193.170987 \nL 294.96152 192.540913 \nL 291.785483 192.173334 \nL 288.558128 192.077736 \nL 285.287694 192.259829 \nL 281.982564 192.721264 \nL 278.651145 193.459556 \nL 275.301776 194.468047 \nL 271.942616 195.736076 \nL 268.58152 197.249193 \nL 265.225956 198.989524 \nL 261.882923 200.936226 \nL 258.558843 203.066012 \nL 253.62079 206.548557 \nL 248.755052 210.296502 \nL 242.402143 215.548772 \nL 233.200688 223.557187 \nL 222.989577 232.403543 \nL 217.399765 236.97275 \nL 211.973346 241.092924 \nL 208.001227 243.866061 \nL 204.104745 246.362331 \nL 200.276477 248.58549 \nL 196.50919 250.54541 \nL 192.796059 252.256581 \nL 189.130843 253.736744 \nL 185.507998 255.005682 \nL 180.735308 256.404998 \nL 176.020437 257.515208 \nL 171.356783 258.383662 \nL 165.593001 259.19506 \nL 159.899198 259.770388 \nL 153.160476 260.234318 \nL 144.349476 260.59814 \nL 132.620192 260.834091 \nL 112.814918 260.965864 \nL 67.167684 261.036799 \nL 155.702444 260.946481 \nL 238.615966 260.704026 \nL 278.497547 260.38185 \nL 301.51838 259.988532 \nL 316.233639 259.540132 \nL 327.414739 258.986648 \nL 335.487433 258.376432 \nL 341.918997 257.672272 \nL 346.901474 256.911277 \nL 350.621077 256.15426 \nL 354.087428 255.231354 \nL 356.510989 254.406769 \nL 358.775004 253.446559 \nL 360.871004 252.327064 \nL 362.789707 251.020626 \nL 364.520847 249.495033 \nL 365.565143 248.338013 \nL 366.517302 247.054681 \nL 367.373281 245.631413 \nL 368.128762 244.053345 \nL 368.779027 242.304322 \nL 369.318972 240.366886 \nL 369.743081 238.222279 \nL 370.045375 235.850488 \nL 370.219414 233.230337 \nL 370.224593 228.785698 \nL 369.89963 223.65441 \nL 369.215953 217.757642 \nL 368.142302 211.019642 \nL 366.644896 203.373588 \nL 364.687831 194.769478 \nL 362.234055 185.184207 \nL 359.246511 174.633725 \nL 355.689867 163.186753 \nL 352.986896 155.121281 \nL 350.009219 146.7756 \nL 346.750904 138.226457 \nL 343.208245 129.568654 \nL 339.380245 120.915101 \nL 335.26907 112.396004 \nL 330.880483 104.156904 \nL 328.585054 100.191272 \nL 326.224268 96.355492 \nL 323.800015 92.670425 \nL 321.314471 89.157084 \nL 318.770086 85.836402 \nL 316.169589 82.729003 \nL 313.515984 79.854992 \nL 310.812545 77.233732 \nL 308.062806 74.883579 \nL 305.270542 72.821653 \nL 302.439747 71.063607 \nL 299.574641 69.623396 \nL 296.679626 68.513087 \nL 293.759253 67.742665 \nL 290.818216 67.319865 \nL 287.861318 67.250045 \nL 284.893416 67.536099 \nL 281.919428 68.178381 \nL 278.944264 69.174682 \nL 275.972811 70.520246 \nL 273.009897 72.207823 \nL 270.060253 74.227745 \nL 267.128484 76.568063 \nL 264.219038 79.214694 \nL 261.336184 82.151606 \nL 258.483972 85.361054 \nL 255.666226 88.82376 \nL 252.88651 92.519216 \nL 250.148122 96.425902 \nL 247.454077 100.521563 \nL 244.8071 104.783449 \nL 239.663716 113.714013 \nL 234.733701 123.035324 \nL 230.027999 132.572221 \nL 225.552993 142.162444 \nL 219.276764 156.33586 \nL 211.70638 174.237954 \nL 199.04896 204.530023 \nL 193.774384 216.484212 \nL 190.195623 224.080227 \nL 186.893947 230.586592 \nL 183.831067 236.101792 \nL 180.972486 240.733607 \nL 178.28777 244.591262 \nL 175.750566 247.780032 \nL 173.338419 250.397857 \nL 171.032473 252.533443 \nL 168.817124 254.26547 \nL 166.679631 255.662563 \nL 164.60975 256.783742 \nL 161.94133 257.934988 \nL 159.364535 258.781316 \nL 156.257758 259.524716 \nL 152.682598 260.097792 \nL 148.712277 260.488572 \nL 143.417542 260.76313 \nL 135.519975 260.917583 \nL 121.737137 260.978495 \nL 143.370375 260.953878 \nL 225.320538 260.722687 \nL 261.726623 260.419739 \nL 280.510209 260.064397 \nL 291.319708 259.661549 \nL 297.710137 259.222438 \nL 301.290042 258.777153 \nL 303.153447 258.336909 \nL 303.824053 257.992198 \nL 303.974685 257.72939 \nL 303.895065 257.510665 \nL 303.542668 257.228982 \nL 302.745845 256.883666 \nL 301.045413 256.424407 \nL 298.262108 255.937961 \nL 294.569141 255.52489 \nL 289.991323 255.232252 \nL 284.566409 255.104312 \nL 278.344164 255.173494 \nL 270.568162 255.494954 \nL 261.071909 256.117849 \nL 240.648227 257.76072 \nL 225.703389 258.848093 \nL 212.257833 259.602762 \nL 198.381085 260.148033 \nL 183.043119 260.524308 \nL 162.864364 260.781685 \nL 130.679227 260.937121 \nL 60.36508 261.042092 \nL 272.594164 260.464805 \nL 298.93359 260.086418 \nL 316.317093 259.621234 \nL 328.481513 259.077024 \nL 337.326786 258.4683 \nL 344.422308 257.756047 \nL 349.956857 256.976012 \nL 354.115645 256.190704 \nL 358.017479 255.222102 \nL 360.764159 254.347318 \nL 363.347312 253.318566 \nL 365.757394 252.106691 \nL 367.983832 250.677037 \nL 369.360284 249.582964 \nL 370.645967 248.360056 \nL 371.836638 246.992771 \nL 372.927687 245.463832 \nL 373.914103 243.754092 \nL 374.790354 241.842416 \nL 375.550385 239.705565 \nL 376.187616 237.31811 \nL 376.694795 234.652399 \nL 377.063975 231.678574 \nL 377.286488 228.364644 \nL 377.352898 224.676708 \nL 377.252891 220.579247 \nL 376.975296 216.035646 \nL 376.508076 211.008869 \nL 375.838278 205.462414 \nL 374.423326 196.093212 \nL 372.471441 185.376216 \nL 369.929692 173.24301 \nL 367.880537 164.356789 \nL 365.528903 154.845758 \nL 362.859314 144.741688 \nL 359.857369 134.098496 \nL 356.510374 122.995692 \nL 352.808047 111.541348 \nL 348.74324 99.874181 \nL 344.312757 88.164372 \nL 339.518213 76.612653 \nL 336.986423 70.966434 \nL 334.366768 65.447173 \nL 331.661139 60.086736 \nL 328.871841 54.917883 \nL 326.001601 49.973882 \nL 323.053602 45.288216 \nL 320.031463 40.894152 \nL 316.939256 36.824346 \nL 313.781476 33.11039 \nL 310.563036 29.782318 \nL 307.289251 26.86825 \nL 303.965809 24.393877 \nL 300.598742 22.382007 \nL 297.194374 20.852261 \nL 293.759307 19.820649 \nL 290.300333 19.299235 \nL 286.824422 19.296 \nL 283.338644 19.814557 \nL 279.850116 20.854079 \nL 276.365959 22.409325 \nL 272.893207 24.470662 \nL 269.43879 27.024133 \nL 266.00944 30.051796 \nL 262.611654 33.531904 \nL 259.251653 37.439309 \nL 255.935327 41.745774 \nL 252.668189 46.420532 \nL 249.455354 51.430644 \nL 246.301498 56.741545 \nL 243.210851 62.317532 \nL 240.187163 68.122233 \nL 237.233712 74.119096 \nL 234.353286 80.271831 \nL 228.820315 92.90353 \nL 223.6012 105.746977 \nL 218.701908 118.558018 \nL 214.122127 131.125352 \nL 207.837836 149.147144 \nL 198.823504 176.011447 \nL 190.090648 202.012594 \nL 185.298059 215.572381 \nL 182.140922 223.946662 \nL 179.297538 230.956069 \nL 176.719468 236.768709 \nL 174.364599 241.549983 \nL 172.196957 245.454977 \nL 170.186276 248.624228 \nL 168.307435 251.181891 \nL 166.539827 253.235513 \nL 164.86674 254.87681 \nL 163.274775 256.183013 \nL 161.260319 257.512932 \nL 159.352455 258.482511 \nL 157.097573 259.327993 \nL 154.971638 259.888892 \nL 152.194504 260.36756 \nL 148.951811 260.68183 \nL 144.380387 260.875925 \nL 137.700974 260.953114 \nL 146.035268 260.944923 \nL 222.030408 260.724226 \nL 255.970502 260.434273 \nL 272.574415 260.092929 \nL 279.983281 259.74782 \nL 282.319277 259.464892 \nL 282.500608 259.354178 \nL 282.475772 259.3231 \nL 282.118004 259.217895 \nL 280.517793 259.059232 \nL 276.447193 258.921525 \nL 269.289142 258.918749 \nL 257.718217 259.154467 \nL 205.080049 260.481027 \nL 180.007102 260.752595 \nL 141.033614 260.924147 \nL 85.018729 261.021129 \nL 263.262414 260.503753 \nL 289.463457 260.137617 \nL 305.329943 259.715058 \nL 316.598585 259.203955 \nL 324.888728 258.600767 \nL 330.684805 257.96459 \nL 335.1558 257.261088 \nL 338.505024 256.53121 \nL 341.48954 255.637984 \nL 343.599572 254.780663 \nL 345.449622 253.771933 \nL 346.658659 252.900358 \nL 347.70815 251.916519 \nL 348.591778 250.806875 \nL 349.302858 249.556781 \nL 349.834243 248.15058 \nL 350.178294 246.571776 \nL 350.326898 244.803295 \nL 350.271477 242.827883 \nL 350.002887 240.628629 \nL 349.51157 238.189673 \nL 348.787534 235.497108 \nL 347.442373 231.494371 \nL 345.640474 227.009123 \nL 343.357571 222.049034 \nL 340.57107 216.64975 \nL 338.138948 212.353364 \nL 335.406346 207.89454 \nL 332.369237 203.333319 \nL 329.026438 198.744867 \nL 325.380177 194.21911 \nL 322.783637 191.287227 \nL 320.057813 188.462111 \nL 317.206562 185.778569 \nL 314.234702 183.27232 \nL 311.148043 180.979213 \nL 307.953379 178.934387 \nL 304.658454 177.171335 \nL 301.271906 175.720966 \nL 297.803212 174.610662 \nL 294.262574 173.863368 \nL 290.660783 173.496799 \nL 287.009104 173.522766 \nL 283.319072 173.946681 \nL 279.602359 174.767272 \nL 275.870569 175.976514 \nL 272.135083 177.559805 \nL 268.40685 179.496348 \nL 264.696254 181.759758 \nL 261.012954 184.318819 \nL 257.365778 187.138429 \nL 253.7626 190.18056 \nL 250.21029 193.405332 \nL 244.9896 198.495954 \nL 239.911223 203.770386 \nL 231.787738 212.627235 \nL 219.69189 225.916442 \nL 214.037816 231.790156 \nL 209.952823 235.777596 \nL 205.989231 239.388296 \nL 202.1357 242.620032 \nL 198.380861 245.481278 \nL 194.713723 247.98872 \nL 191.123963 250.16496 \nL 187.602148 252.036469 \nL 184.13986 253.631865 \nL 180.729779 254.980504 \nL 177.3657 256.111374 \nL 172.943125 257.328264 \nL 168.584093 258.268095 \nL 164.282324 258.984787 \nL 158.980297 259.636848 \nL 152.725705 260.15764 \nL 145.583253 260.524301 \nL 135.703674 260.789164 \nL 119.990698 260.943132 \nL 79.079843 261.024761 \nL 76.084385 261.02927 \nL 233.641838 260.72157 \nL 273.700213 260.414345 \nL 296.40452 260.046007 \nL 311.18446 259.615911 \nL 322.48922 259.071418 \nL 330.755533 258.445433 \nL 336.445863 257.815504 \nL 340.823722 257.149119 \nL 344.845618 256.316829 \nL 347.789928 255.501603 \nL 350.476239 254.522971 \nL 352.312548 253.661304 \nL 353.988175 252.671521 \nL 355.495571 251.534268 \nL 356.826516 250.227608 \nL 357.972048 248.726828 \nL 358.922332 247.004316 \nL 359.666609 245.029509 \nL 360.193075 242.76899 \nL 360.48873 240.186747 \nL 360.539325 237.244718 \nL 360.329368 233.903653 \nL 359.842031 230.124411 \nL 359.059193 225.869791 \nL 357.961612 221.107016 \nL 356.52914 215.810875 \nL 354.741074 209.96767 \nL 352.57665 203.579864 \nL 350.015843 196.6713 \nL 347.040242 189.292741 \nL 343.634198 181.527201 \nL 339.786142 173.494443 \nL 336.972007 168.067811 \nL 333.958582 162.649407 \nL 330.747418 157.303769 \nL 327.341875 152.102107 \nL 323.747299 147.12119 \nL 319.971139 142.441663 \nL 316.023045 138.146012 \nL 313.988144 136.167836 \nL 311.914882 134.316159 \nL 309.80508 132.600685 \nL 307.660698 131.030729 \nL 305.483818 129.615145 \nL 303.276638 128.362198 \nL 301.041463 127.279513 \nL 298.780714 126.373975 \nL 296.496896 125.651638 \nL 294.192599 125.117686 \nL 291.870481 124.776322 \nL 289.533256 124.630769 \nL 287.183689 124.683175 \nL 284.824563 124.934602 \nL 282.458689 125.385028 \nL 280.088874 126.033283 \nL 277.717906 126.877113 \nL 275.348551 127.913165 \nL 272.983531 129.137023 \nL 270.625504 130.543244 \nL 268.277067 132.125431 \nL 265.940733 133.876275 \nL 263.618907 135.787654 \nL 261.313899 137.850679 \nL 256.762981 142.392952 \nL 252.303942 147.420596 \nL 247.950543 152.845234 \nL 243.714184 158.575711 \nL 239.603842 164.521149 \nL 235.626113 170.593616 \nL 229.916937 179.761565 \nL 222.791286 191.721426 \nL 210.137001 213.175699 \nL 204.526508 222.185839 \nL 200.588517 228.117576 \nL 196.855049 233.349983 \nL 193.302459 237.913409 \nL 189.908333 241.852321 \nL 186.651996 245.219909 \nL 183.514803 248.073728 \nL 180.480284 250.472334 \nL 177.534162 252.472835 \nL 174.664285 254.129195 \nL 171.860502 255.491171 \nL 169.114494 256.603737 \nL 165.531721 257.767557 \nL 162.028142 258.63963 \nL 158.595779 259.286559 \nL 154.398334 259.859196 \nL 149.493059 260.303427 \nL 143.179583 260.638064 \nL 134.239441 260.857299 \nL 118.679833 260.967923 \nL 98.558356 261.007328 \nL 193.30667 260.858742 \nL 249.917936 260.594297 \nL 278.750606 260.263013 \nL 296.46041 259.850312 \nL 307.640127 259.382183 \nL 315.134821 258.869775 \nL 320.352353 258.325266 \nL 324.299855 257.719562 \nL 327.192956 257.080027 \nL 329.238807 256.444795 \nL 330.937026 255.700587 \nL 332.035268 255.015764 \nL 332.893629 254.241838 \nL 333.504211 253.369762 \nL 333.859006 252.390621 \nL 333.949913 251.296054 \nL 333.768835 250.078809 \nL 333.307733 248.733429 \nL 332.558784 247.257092 \nL 331.514518 245.650586 \nL 329.783533 243.468254 \nL 327.569068 241.1152 \nL 324.862893 238.632527 \nL 322.341208 236.593352 \nL 319.502975 234.550766 \nL 316.351697 232.554016 \nL 312.894098 230.659626 \nL 310.105937 229.343101 \nL 307.156947 228.146102 \nL 304.054081 227.095812 \nL 300.805517 226.218425 \nL 297.420576 225.53812 \nL 293.909616 225.075991 \nL 290.283919 224.849043 \nL 286.555464 224.869278 \nL 282.736754 225.142977 \nL 278.840569 225.670203 \nL 274.87968 226.444612 \nL 270.866613 227.453548 \nL 266.813387 228.678477 \nL 261.366008 230.606054 \nL 255.891294 232.807442 \nL 249.040324 235.827921 \nL 223.340412 247.530015 \nL 216.710719 250.133264 \nL 211.446087 251.981518 \nL 206.212765 253.610297 \nL 201.007221 255.020097 \nL 195.826132 256.219517 \nL 190.666773 257.223178 \nL 184.245414 258.231085 \nL 177.853921 259.003217 \nL 170.225869 259.677259 \nL 161.394464 260.199899 \nL 151.417645 260.558428 \nL 137.980875 260.807038 \nL 115.927812 260.954151 \nL 53.219517 261.046759 \nL 52.698352 261.047697 \nL 114.619506 261.001246 \nL 114.619506 261.001246 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p606b68b1aa\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"284.286296pt\" version=\"1.1\" viewBox=\"0 0 297.87021 284.286296\" width=\"297.87021pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T22:23:09.754816</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 284.286296 \nL 297.87021 284.286296 \nL 297.87021 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 30.500099 208.744652 \nL 118.210413 134.918594 \nL 117.117009 28.604593 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.633948 218.912967 \nL 147.677818 143.483605 \nL 147.842711 36.392662 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 93.477295 229.313004 \nL 177.760671 152.227503 \nL 179.238102 44.350479 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 126.054672 239.952776 \nL 208.478456 161.15595 \nL 211.325317 52.483652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 159.391756 250.840667 \nL 239.851489 170.274852 \nL 244.127478 60.798044 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 31.263745 208.10189 \nL 28.969538 210.032931 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(12.412973 232.013428)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 62.383769 218.255646 \nL 60.131059 220.230458 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.75966 242.397091)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 94.21246 228.640623 \nL 92.003745 230.660712 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(82.827853 253.018281)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 126.774302 239.264812 \nL 124.612223 241.331752 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(115.443861 263.885244)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 160.094924 250.136572 \nL 157.982269 252.252013 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(145.642179 275.006609)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 29.444516 89.470656 \nL 34.500314 201.656239 \nL 183.314289 249.807479 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 41.350138 80.782475 \nL 45.831768 192.15799 \nL 193.585868 239.266312 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 52.994548 72.284915 \nL 56.925363 182.859119 \nL 203.630498 228.958051 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 64.386248 63.971771 \nL 67.78851 173.753414 \nL 213.455618 218.875061 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 75.533377 55.837104 \nL 78.428316 164.834918 \nL 223.068347 209.010036 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 86.443727 47.875228 \nL 88.851598 156.097915 \nL 232.475497 199.355986 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.124764 40.080693 \nL 99.064901 147.536923 \nL 241.683594 189.906214 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 107.583641 32.448281 \nL 109.074505 139.146674 \nL 250.698889 180.654303 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 182.060302 249.401731 \nL 185.825504 250.620025 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −10.0 -->\n     <g transform=\"translate(180.85827 270.81333)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"211.035156\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 192.341515 238.869576 \nL 196.077753 240.060798 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −7.5 -->\n     <g transform=\"translate(194.173357 260.116068)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-37\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 202.395662 228.570031 \nL 206.103288 229.735072 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −5.0 -->\n     <g transform=\"translate(204.083158 249.6553)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 212.230184 218.495472 \nL 215.909549 219.635187 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- −2.5 -->\n     <g transform=\"translate(213.776271 239.423267)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.852197 208.638607 \nL 225.503652 209.753813 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 0.0 -->\n     <g transform=\"translate(227.449569 229.412548)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 231.268518 198.992456 \nL 234.892407 200.083935 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 2.5 -->\n     <g transform=\"translate(236.730095 219.616041)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_14\">\n     <path d=\"M 240.485671 189.550334 \nL 244.082337 190.618835 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 5.0 -->\n     <g transform=\"translate(245.814137 210.026942)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_15\">\n     <path d=\"M 249.50991 180.305834 \nL 253.079693 181.352075 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 7.5 -->\n     <g transform=\"translate(254.707869 200.638734)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-37\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_16\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 256.878488 159.909351 \nL 115.003853 119.398689 \nL 26.547998 192.220819 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.480507 146.762786 \nL 114.857525 106.673624 \nL 25.899416 178.752595 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.088974 133.475424 \nL 114.709705 93.818808 \nL 25.243622 165.134609 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.703992 120.044992 \nL 114.56037 80.832248 \nL 24.580496 151.36435 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.325669 106.469166 \nL 114.409496 67.711908 \nL 23.909912 137.439249 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.954112 92.745572 \nL 114.25706 54.45571 \nL 23.231745 123.35668 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.589433 78.871784 \nL 114.103038 41.061532 \nL 22.545866 109.113957 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 0.0 -->\n     <g transform=\"translate(266.595217 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 255.687426 159.569257 \nL 259.263462 160.590353 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 2.5 -->\n     <g transform=\"translate(267.285567 164.932382)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 256.282862 146.426146 \nL 259.878678 147.436876 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 5.0 -->\n     <g transform=\"translate(267.983249 151.81201)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 256.884674 133.142332 \nL 260.500488 134.142414 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 7.5 -->\n     <g transform=\"translate(268.68838 138.55155)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-37\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_18\">\n    <g id=\"line2d_21\">\n     <path d=\"M 257.492962 119.715544 \nL 261.128998 120.704689 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- 10.0 -->\n     <g transform=\"translate(266.21983 125.148747)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_19\">\n    <g id=\"line2d_22\">\n     <path d=\"M 258.107833 106.14346 \nL 261.764318 107.121373 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_19\">\n     <!-- 12.5 -->\n     <g transform=\"translate(266.940222 111.601296)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_20\">\n    <g id=\"line2d_23\">\n     <path d=\"M 258.729394 92.42371 \nL 262.406559 93.390086 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_20\">\n     <!-- 15.0 -->\n     <g transform=\"translate(267.668431 97.906844)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_21\">\n    <g id=\"line2d_24\">\n     <path d=\"M 259.357755 78.55387 \nL 263.055834 79.508398 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_21\">\n     <!-- 17.5 -->\n     <g transform=\"translate(268.404585 84.062983)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-37\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_25\">\n    <path clip-path=\"url(#pfe0466b888)\" d=\"M 142.559175 182.301673 \nL 142.449061 182.109652 \nL 142.19913 182.196282 \nL 142.187247 182.370117 \nL 142.409968 182.473155 \nL 142.756526 182.403956 \nL 142.877736 182.198531 \nL 142.742162 182.033429 \nL 142.385688 181.965662 \nL 142.002588 182.100534 \nL 141.884277 182.337771 \nL 142.017625 182.541725 \nL 142.376922 182.666101 \nL 142.865992 182.608313 \nL 143.199821 182.368744 \nL 143.244644 182.097904 \nL 143.055513 181.863565 \nL 142.629631 181.710608 \nL 142.054923 181.737727 \nL 141.575715 181.965478 \nL 141.370198 182.279681 \nL 141.41778 182.57941 \nL 141.687385 182.841889 \nL 142.203616 183.019202 \nL 142.880584 183.014057 \nL 143.502635 182.796426 \nL 143.878793 182.448592 \nL 143.976683 182.079278 \nL 143.841533 181.735284 \nL 143.479391 181.435166 \nL 142.864102 181.226699 \nL 142.080138 181.198891 \nL 141.299866 181.389413 \nL 140.718352 181.74868 \nL 140.421 182.171486 \nL 140.37871 182.602286 \nL 140.561508 183.000459 \nL 140.98731 183.367426 \nL 141.66118 183.641061 \nL 142.54207 183.75263 \nL 143.481778 183.651729 \nL 144.324497 183.347285 \nL 144.942389 182.896455 \nL 145.269226 182.401461 \nL 145.344668 181.896472 \nL 145.186968 181.40967 \nL 144.80232 180.96296 \nL 144.158838 180.57174 \nL 143.288825 180.305103 \nL 142.213562 180.213441 \nL 141.090855 180.343037 \nL 140.0712 180.681367 \nL 139.27688 181.170517 \nL 138.75195 181.747023 \nL 138.506165 182.327433 \nL 138.494796 182.910587 \nL 138.702042 183.462382 \nL 139.145364 183.997634 \nL 139.838475 184.475276 \nL 140.775699 184.848364 \nL 141.926171 185.067545 \nL 143.229295 185.086216 \nL 144.546733 184.878831 \nL 145.731776 184.468151 \nL 146.671792 183.920314 \nL 147.366958 183.268424 \nL 147.781677 182.590532 \nL 147.950578 181.90022 \nL 147.889629 181.230605 \nL 147.606109 180.576163 \nL 147.072013 179.934819 \nL 146.309409 179.370256 \nL 145.292036 178.891796 \nL 144.03202 178.54533 \nL 142.564754 178.378594 \nL 141.017914 178.42996 \nL 139.476976 178.707554 \nL 138.088636 179.181973 \nL 136.914929 179.812826 \nL 135.995679 180.555858 \nL 135.349612 181.366794 \nL 134.990211 182.15913 \nL 134.863211 182.93978 \nL 134.954517 183.729691 \nL 135.269793 184.50593 \nL 135.808282 185.245014 \nL 136.613351 185.961134 \nL 137.643101 186.58278 \nL 138.945547 187.109342 \nL 140.512804 187.49266 \nL 142.225913 187.677609 \nL 144.019976 187.648088 \nL 145.823923 187.396453 \nL 147.56337 186.924217 \nL 149.088171 186.281149 \nL 150.361237 185.512833 \nL 151.366046 184.663751 \nL 152.142341 183.716588 \nL 152.637228 182.757858 \nL 152.875648 181.82069 \nL 152.884102 180.867128 \nL 152.656152 179.918257 \nL 152.1905 178.995509 \nL 151.491109 178.120213 \nL 150.567199 177.313154 \nL 149.350506 176.549804 \nL 147.918402 175.908909 \nL 146.193988 175.384387 \nL 144.302116 175.040927 \nL 142.291018 174.894566 \nL 140.213858 174.956464 \nL 138.127507 175.232423 \nL 136.09119 175.722525 \nL 134.165005 176.420882 \nL 132.50597 177.257759 \nL 131.129504 178.187132 \nL 129.963909 179.240402 \nL 129.096008 180.318243 \nL 128.501987 181.384851 \nL 128.128905 182.498201 \nL 127.989996 183.640728 \nL 128.078047 184.705107 \nL 128.378596 185.763055 \nL 128.893322 186.798788 \nL 129.690846 187.877235 \nL 130.731758 188.890625 \nL 132.00531 189.819163 \nL 133.619354 190.702504 \nL 135.460526 191.443384 \nL 137.49828 192.021936 \nL 139.696842 192.421053 \nL 142.015823 192.62689 \nL 144.410965 192.629313 \nL 146.835035 192.422277 \nL 149.238812 192.00412 \nL 151.572174 191.377749 \nL 153.785234 190.550713 \nL 155.69005 189.613614 \nL 157.412348 188.527035 \nL 158.917812 187.307135 \nL 160.088143 186.079034 \nL 161.025829 184.770024 \nL 161.665365 183.514379 \nL 162.082578 182.220524 \nL 162.26859 180.903642 \nL 162.217235 179.579249 \nL 161.925116 178.262997 \nL 161.391633 176.97052 \nL 160.618996 175.717287 \nL 159.612177 174.518494 \nL 158.378884 173.388932 \nL 156.787429 172.252405 \nL 154.955778 171.232918 \nL 152.904351 170.347021 \nL 150.656847 169.609921 \nL 148.031869 168.995089 \nL 145.245877 168.585817 \nL 142.33993 168.394285 \nL 139.357973 168.429633 \nL 136.346309 168.697731 \nL 133.353019 169.201005 \nL 130.648871 169.873348 \nL 128.041483 170.741394 \nL 125.569911 171.798681 \nL 123.272643 173.035982 \nL 121.351913 174.318124 \nL 119.636758 175.730241 \nL 118.277974 177.11576 \nL 117.129101 178.586697 \nL 116.207022 180.130692 \nL 115.526909 181.734267 \nL 115.132683 183.216446 \nL 114.953389 184.723906 \nL 114.995664 186.244868 \nL 115.264504 187.767083 \nL 115.763126 189.277923 \nL 116.492895 190.764475 \nL 117.453225 192.213642 \nL 118.641501 193.612256 \nL 120.05303 194.947201 \nL 121.681011 196.205525 \nL 123.732789 197.498439 \nL 126.025376 198.664452 \nL 128.540263 199.687742 \nL 131.255883 200.553594 \nL 134.147753 201.248625 \nL 137.188693 201.760984 \nL 140.349065 202.080558 \nL 143.597097 202.199144 \nL 146.899205 202.110616 \nL 150.220391 201.81107 \nL 153.52465 201.298936 \nL 156.77542 200.575095 \nL 159.936051 199.642964 \nL 162.970257 198.508577 \nL 165.84265 197.180662 \nL 168.261279 195.829486 \nL 170.497698 194.341079 \nL 172.529867 192.727525 \nL 174.337505 191.002656 \nL 175.902376 189.18193 \nL 177.076595 187.49664 \nL 178.036731 185.761486 \nL 178.774795 183.989463 \nL 179.28446 182.193693 \nL 179.561069 180.387101 \nL 179.601621 178.582103 \nL 179.40471 176.790334 \nL 178.970437 175.022475 \nL 178.300287 173.2882 \nL 177.397043 171.596271 \nL 176.264653 169.954748 \nL 174.908164 168.371275 \nL 173.333681 166.853388 \nL 171.310713 165.233748 \nL 169.032581 163.718258 \nL 166.51265 162.318855 \nL 163.766015 161.047787 \nL 160.80949 159.917289 \nL 157.661593 158.939174 \nL 154.342482 158.124458 \nL 150.873842 157.483104 \nL 147.278778 157.023832 \nL 143.58168 156.754029 \nL 139.808074 156.679716 \nL 135.984489 156.805534 \nL 132.138332 157.134736 \nL 128.29772 157.669196 \nL 124.491371 158.40937 \nL 120.748438 159.354294 \nL 117.098368 160.501558 \nL 113.570752 161.847269 \nL 110.195146 163.386033 \nL 107.000901 165.110924 \nL 104.337237 166.793602 \nL 101.859698 168.609686 \nL 99.587733 170.551206 \nL 97.540176 172.609214 \nL 95.735099 174.773784 \nL 94.368097 176.746658 \nL 93.21078 178.784903 \nL 92.273307 180.880082 \nL 91.565095 183.023237 \nL 91.094692 185.204898 \nL 90.869712 187.415127 \nL 90.896765 189.643526 \nL 91.181343 191.879295 \nL 91.633554 193.793068 \nL 92.280148 195.696819 \nL 93.281853 197.895342 \nL 94.550578 200.058234 \nL 96.085605 202.173392 \nL 97.884696 204.228603 \nL 99.94406 206.211618 \nL 102.258297 208.110226 \nL 104.820368 209.912335 \nL 107.621595 211.60604 \nL 110.651622 213.179715 \nL 113.898447 214.622085 \nL 117.34844 215.922296 \nL 120.986367 217.069996 \nL 124.795467 218.055373 \nL 128.757471 218.86924 \nL 132.85272 219.503036 \nL 137.060233 219.948839 \nL 141.357812 220.199343 \nL 145.722145 220.247799 \nL 150.128889 220.087883 \nL 154.552792 219.713511 \nL 158.967769 219.118548 \nL 163.346958 218.296416 \nL 167.662773 217.239517 \nL 171.290122 216.139736 \nL 174.831738 214.85324 \nL 178.268745 213.370628 \nL 181.581629 211.679902 \nL 184.23292 210.101102 \nL 186.77162 208.356402 \nL 189.184837 206.432888 \nL 191.458967 204.315507 \nL 193.579561 201.987207 \nL 195.15516 199.960252 \nL 196.614264 197.776597 \nL 197.948036 195.426684 \nL 199.147182 192.901956 \nL 200.202007 190.195879 \nL 201.102473 187.305214 \nL 201.838363 184.231617 \nL 202.399506 180.983474 \nL 202.77609 177.577878 \nL 202.959079 174.042574 \nL 202.940771 170.417597 \nL 202.715391 166.756188 \nL 202.27983 163.124668 \nL 201.634318 159.600706 \nL 200.783093 156.269867 \nL 199.734854 153.220255 \nL 198.827263 151.168369 \nL 197.82363 149.353282 \nL 196.732606 147.800597 \nL 195.56395 146.528673 \nL 194.328279 145.547387 \nL 193.036702 144.857414 \nL 191.700486 144.450117 \nL 190.33067 144.308049 \nL 188.937715 144.406056 \nL 187.531173 144.712829 \nL 185.648978 145.384701 \nL 183.307223 146.520206 \nL 179.179678 148.886488 \nL 175.628154 150.812121 \nL 173.02457 151.938606 \nL 170.878842 152.625817 \nL 168.741054 153.086318 \nL 166.598579 153.341377 \nL 164.005787 153.421963 \nL 160.93172 153.286483 \nL 155.959609 152.801449 \nL 147.904262 152.00855 \nL 142.979779 151.754023 \nL 138.461397 151.733315 \nL 133.890745 151.935641 \nL 129.298904 152.373547 \nL 124.718477 153.052942 \nL 120.183044 153.975829 \nL 116.216986 155.000141 \nL 112.337846 156.214597 \nL 108.570105 157.616253 \nL 104.938302 159.201045 \nL 101.466926 160.963794 \nL 98.180286 162.898186 \nL 95.102405 164.996762 \nL 92.599065 166.960948 \nL 90.289106 169.037746 \nL 88.187562 171.219945 \nL 86.308997 173.499649 \nL 84.667377 175.868263 \nL 83.276025 178.316514 \nL 82.292146 180.470869 \nL 81.508743 182.669773 \nL 80.93269 184.906222 \nL 80.570284 187.172876 \nL 80.427219 189.462069 \nL 80.508512 191.765832 \nL 80.818462 194.075909 \nL 81.360599 196.383778 \nL 82.137629 198.680681 \nL 83.151411 200.957648 \nL 84.40287 203.205523 \nL 85.891982 205.415012 \nL 87.617738 207.576703 \nL 89.578079 209.681125 \nL 91.769891 211.718771 \nL 94.188954 213.68016 \nL 96.829946 215.555859 \nL 99.686413 217.33655 \nL 102.75076 219.01306 \nL 106.014258 220.576412 \nL 110.060143 222.245668 \nL 114.346027 223.735618 \nL 118.852278 225.033439 \nL 123.557303 226.126914 \nL 128.437623 227.004426 \nL 133.467963 227.654921 \nL 138.621333 228.06775 \nL 143.869178 228.232399 \nL 148.419734 228.167838 \nL 152.997779 227.905677 \nL 157.582703 227.437555 \nL 162.153047 226.753371 \nL 166.686465 225.840289 \nL 171.159535 224.681289 \nL 174.823161 223.5111 \nL 178.412464 222.136116 \nL 181.911122 220.532471 \nL 184.632921 219.064012 \nL 187.275476 217.408492 \nL 189.827918 215.54017 \nL 192.2782 213.427241 \nL 194.040816 211.658866 \nL 195.732054 209.711691 \nL 197.344914 207.563438 \nL 198.871598 205.188836 \nL 200.303446 202.559588 \nL 201.630791 199.644519 \nL 202.842845 196.409988 \nL 203.927577 192.820694 \nL 204.871628 188.841001 \nL 205.660244 184.43694 \nL 206.27727 179.579054 \nL 206.705219 174.246214 \nL 206.925524 168.430537 \nL 206.91891 162.143298 \nL 206.666001 155.421628 \nL 206.148223 148.335457 \nL 205.34905 140.993738 \nL 204.25552 133.548614 \nL 202.860009 126.195815 \nL 201.761378 121.459648 \nL 200.530276 116.944728 \nL 199.1708 112.730738 \nL 197.689201 108.897366 \nL 196.093961 105.520862 \nL 194.395755 102.670336 \nL 192.607319 100.404033 \nL 191.683747 99.504361 \nL 190.743191 98.765981 \nL 189.787693 98.191726 \nL 188.819349 97.783248 \nL 187.840309 97.540991 \nL 186.852746 97.464178 \nL 185.858848 97.550816 \nL 184.860792 97.797737 \nL 183.860739 98.200623 \nL 182.860801 98.754091 \nL 181.863039 99.451755 \nL 179.881908 101.249744 \nL 177.932131 103.527464 \nL 176.026759 106.208843 \nL 174.176843 109.212776 \nL 172.391282 112.456949 \nL 169.847699 117.599844 \nL 166.726723 124.59925 \nL 162.63031 134.505078 \nL 158.144285 145.292723 \nL 155.792467 150.38415 \nL 154.100372 153.600779 \nL 152.538918 156.150932 \nL 151.078153 158.135808 \nL 149.693054 159.65597 \nL 148.363364 160.804074 \nL 147.073108 161.661352 \nL 145.497354 162.427524 \nL 143.63882 163.037801 \nL 141.492113 163.493359 \nL 137.524011 164.047947 \nL 132.36352 164.81904 \nL 128.781407 165.591715 \nL 125.584834 166.508824 \nL 122.510251 167.632295 \nL 119.85333 168.830029 \nL 117.357648 170.189497 \nL 115.051349 171.702207 \nL 112.961736 173.357725 \nL 111.288001 174.959738 \nL 109.829069 176.657488 \nL 108.601899 178.439834 \nL 107.718344 180.085351 \nL 107.040332 181.778927 \nL 106.576864 183.510799 \nL 106.335806 185.270674 \nL 106.323812 187.047767 \nL 106.546203 188.830861 \nL 107.006885 190.608362 \nL 107.708269 192.368368 \nL 108.651176 194.098741 \nL 109.83478 195.787181 \nL 111.256534 197.421316 \nL 112.912123 198.988798 \nL 114.795437 200.477379 \nL 116.898539 201.875032 \nL 119.21167 203.170032 \nL 122.050501 204.490153 \nL 125.121272 205.650745 \nL 128.402038 206.6375 \nL 131.868226 207.437289 \nL 135.492808 208.038306 \nL 139.246493 208.430234 \nL 143.097992 208.604349 \nL 147.01427 208.553639 \nL 150.96087 208.272872 \nL 154.902218 207.758658 \nL 158.801987 207.009492 \nL 162.623417 206.025773 \nL 165.924723 204.95632 \nL 169.109406 203.706402 \nL 172.152213 202.280389 \nL 175.028513 200.684136 \nL 177.714515 198.925194 \nL 180.187512 197.01309 \nL 182.159817 195.223626 \nL 183.939356 193.335625 \nL 185.513942 191.360599 \nL 186.872706 189.312077 \nL 188.00628 187.205673 \nL 188.906979 185.05898 \nL 189.568994 182.89124 \nL 189.988539 180.722717 \nL 190.163923 178.573767 \nL 190.095566 176.463693 \nL 189.78587 174.409472 \nL 189.238986 172.424594 \nL 188.460497 170.518227 \nL 187.457005 168.6949 \nL 186.235697 166.954872 \nL 184.803959 165.295106 \nL 183.169081 163.710725 \nL 181.060916 161.985877 \nL 178.70667 160.347681 \nL 176.116219 158.795262 \nL 172.932245 157.156932 \nL 169.477724 155.646155 \nL 165.770218 154.281518 \nL 161.829748 153.083798 \nL 157.678948 152.073269 \nL 153.342951 151.267932 \nL 148.849119 150.682749 \nL 144.226718 150.329582 \nL 139.506607 150.217518 \nL 134.720993 150.35326 \nL 130.439032 150.685741 \nL 126.155671 151.219723 \nL 121.895436 151.956124 \nL 117.683278 152.89479 \nL 113.544451 154.034489 \nL 109.504466 155.372903 \nL 105.588961 156.906594 \nL 101.823629 158.631007 \nL 98.234077 160.540418 \nL 95.257393 162.357511 \nL 92.451596 164.305598 \nL 89.83326 166.378584 \nL 87.41864 168.569655 \nL 85.223544 170.871256 \nL 83.263314 173.275114 \nL 81.552676 175.772213 \nL 80.295727 177.979432 \nL 79.240846 180.241458 \nL 78.395937 182.551353 \nL 77.768356 184.901809 \nL 77.364893 187.285149 \nL 77.191678 189.693355 \nL 77.254159 192.118079 \nL 77.55704 194.550655 \nL 78.104223 196.982122 \nL 78.898749 199.403272 \nL 79.942754 201.804648 \nL 81.237403 204.176593 \nL 82.782867 206.509292 \nL 84.578256 208.792797 \nL 86.621584 211.017072 \nL 88.909745 213.172039 \nL 91.438454 215.247632 \nL 94.202251 217.23383 \nL 97.194472 219.120709 \nL 100.40722 220.898503 \nL 103.831395 222.557634 \nL 107.456665 224.08877 \nL 111.271503 225.482847 \nL 115.263196 226.731111 \nL 119.417873 227.825133 \nL 123.720546 228.7568 \nL 128.155134 229.518315 \nL 132.704512 230.102122 \nL 137.350575 230.500785 \nL 142.074256 230.706842 \nL 146.855563 230.712494 \nL 151.673605 230.509217 \nL 156.506562 230.087122 \nL 161.331641 229.434027 \nL 166.124953 228.534113 \nL 170.076959 227.580404 \nL 173.973934 226.423825 \nL 177.799375 225.042008 \nL 180.796286 223.754455 \nL 183.726063 222.283509 \nL 186.577855 220.603543 \nL 189.3396 218.682039 \nL 191.343744 217.058071 \nL 193.283272 215.254255 \nL 195.151089 213.245715 \nL 196.939272 211.003286 \nL 198.638874 208.493062 \nL 200.239824 205.676041 \nL 201.730647 202.50793 \nL 203.098338 198.939302 \nL 204.328093 194.916213 \nL 205.403117 190.381581 \nL 206.304438 185.277578 \nL 207.010777 179.549415 \nL 207.498527 173.150876 \nL 207.741917 166.051945 \nL 207.713403 158.248687 \nL 207.384478 149.775204 \nL 206.726916 140.716915 \nL 205.71467 131.223567 \nL 204.831937 124.760421 \nL 203.777326 118.287659 \nL 202.548273 111.906015 \nL 201.144643 105.729356 \nL 199.569246 99.881545 \nL 197.828166 94.491854 \nL 195.93107 89.689156 \nL 194.928042 87.546393 \nL 193.891301 85.594998 \nL 192.823076 83.847825 \nL 191.725805 82.316348 \nL 190.602115 81.010494 \nL 189.454808 79.938425 \nL 188.286829 79.106373 \nL 187.101256 78.518558 \nL 185.901254 78.177056 \nL 184.69006 78.081759 \nL 183.470946 78.2304 \nL 182.247179 78.618562 \nL 181.022007 79.239732 \nL 179.798607 80.085473 \nL 178.580065 81.14553 \nL 177.369353 82.408042 \nL 176.169295 83.859707 \nL 173.811577 87.271695 \nL 171.525831 91.255801 \nL 169.327579 95.67894 \nL 167.228743 100.407966 \nL 164.284192 107.800569 \nL 161.595498 115.221799 \nL 157.677503 126.882768 \nL 151.182061 146.571098 \nL 148.952328 152.585792 \nL 147.392617 156.278613 \nL 145.98412 159.149271 \nL 144.690845 161.353463 \nL 143.48409 163.031123 \nL 142.341533 164.301757 \nL 140.978168 165.465862 \nL 139.665006 166.296958 \nL 138.133462 167.008879 \nL 136.140678 167.684255 \nL 127.008597 170.450454 \nL 124.466082 171.591883 \nL 122.30008 172.795536 \nL 120.32186 174.1432 \nL 118.559911 175.62424 \nL 117.168588 177.075167 \nL 115.997318 178.613686 \nL 115.063518 180.226886 \nL 114.439097 181.730991 \nL 114.029722 183.273155 \nL 113.843942 184.841698 \nL 113.888712 186.42437 \nL 114.169262 188.008426 \nL 114.688997 189.580717 \nL 115.449375 191.127791 \nL 116.44982 192.636001 \nL 117.687651 194.091616 \nL 119.158005 195.480955 \nL 120.853815 196.790511 \nL 122.765792 198.007075 \nL 125.12965 199.234261 \nL 127.727134 200.314289 \nL 130.536065 201.231647 \nL 133.53118 201.972189 \nL 136.684361 202.523354 \nL 139.96489 202.874351 \nL 143.339769 203.01638 \nL 146.774055 202.942773 \nL 150.231292 202.649157 \nL 153.673926 202.133579 \nL 157.063754 201.396616 \nL 160.362427 200.44148 \nL 163.531947 199.27411 \nL 166.243382 198.049193 \nL 168.793968 196.667801 \nL 171.158793 195.140271 \nL 173.314456 193.478905 \nL 175.239367 191.697957 \nL 176.740879 190.027498 \nL 178.032516 188.287718 \nL 179.103761 186.491934 \nL 179.945788 184.654079 \nL 180.551558 182.788377 \nL 180.915842 180.908949 \nL 181.035203 179.02941 \nL 180.907937 177.162492 \nL 180.533962 175.319757 \nL 179.914703 173.511463 \nL 179.052936 171.746619 \nL 177.952655 170.033201 \nL 176.618944 168.378524 \nL 175.057913 166.789655 \nL 173.276657 165.273807 \nL 171.019606 163.665293 \nL 168.507155 162.170562 \nL 165.754068 160.802048 \nL 162.776874 159.572556 \nL 159.593882 158.49476 \nL 156.225137 157.580712 \nL 152.692338 156.84145 \nL 149.018717 156.286738 \nL 145.228895 155.924937 \nL 141.348754 155.762946 \nL 137.405263 155.806211 \nL 133.426348 156.058738 \nL 129.440741 156.523092 \nL 125.477854 157.200389 \nL 121.567624 158.090289 \nL 117.740366 159.190969 \nL 114.026624 160.499101 \nL 110.456991 162.009818 \nL 107.429619 163.517583 \nL 104.561407 165.174783 \nL 101.873273 166.974843 \nL 99.385708 168.910175 \nL 97.118659 170.972173 \nL 95.331046 172.872788 \nL 93.739425 174.855947 \nL 92.355627 176.913979 \nL 91.190856 179.038637 \nL 90.25559 181.22111 \nL 89.559517 183.45204 \nL 89.111421 185.721542 \nL 88.93066 187.689674 \nL 88.942153 189.671706 \nL 89.149579 191.660598 \nL 89.555974 193.649082 \nL 90.163676 195.629704 \nL 90.974293 197.594834 \nL 91.988661 199.536703 \nL 93.206825 201.447425 \nL 94.884475 203.626599 \nL 96.835653 205.73978 \nL 99.055961 207.774209 \nL 101.539314 209.71718 \nL 104.277918 211.556126 \nL 107.262236 213.278693 \nL 110.480992 214.872835 \nL 113.921179 216.326891 \nL 117.568074 217.629667 \nL 121.405322 218.77047 \nL 125.414929 219.739214 \nL 129.577388 220.526425 \nL 133.871717 221.123273 \nL 138.275588 221.521543 \nL 142.765405 221.713584 \nL 147.316416 221.692188 \nL 151.902808 221.450388 \nL 156.49779 220.981164 \nL 161.073669 220.276986 \nL 165.601855 219.329185 \nL 169.422876 218.314859 \nL 173.168049 217.105202 \nL 176.817588 215.689261 \nL 180.350915 214.052783 \nL 183.19104 212.507376 \nL 185.922347 210.782524 \nL 188.530929 208.861653 \nL 191.00192 206.724766 \nL 192.868938 204.843969 \nL 194.62888 202.796134 \nL 196.272291 200.56625 \nL 197.789017 198.138433 \nL 199.168166 195.4966 \nL 200.398056 192.625486 \nL 201.46624 189.512125 \nL 202.359602 186.147848 \nL 203.064534 182.530833 \nL 203.567252 178.669174 \nL 203.854244 174.584295 \nL 203.912936 170.314425 \nL 203.732492 165.917591 \nL 203.304872 161.47343 \nL 202.625985 157.082976 \nL 201.696836 152.865559 \nL 200.839796 149.894736 \nL 199.851434 147.151479 \nL 198.739574 144.689975 \nL 197.514265 142.558813 \nL 196.187603 140.797746 \nL 195.25362 139.843715 \nL 194.285139 139.071864 \nL 193.286776 138.484196 \nL 192.263257 138.07967 \nL 191.21933 137.854245 \nL 190.159696 137.800997 \nL 189.088912 137.910337 \nL 187.471268 138.352544 \nL 185.851707 139.085147 \nL 184.24187 140.053412 \nL 182.126761 141.610981 \nL 179.555239 143.797503 \nL 172.866727 149.631122 \nL 170.641958 151.217705 \nL 168.477647 152.463112 \nL 166.354244 153.377502 \nL 164.253104 153.9952 \nL 162.157846 154.363658 \nL 159.632627 154.550172 \nL 156.650406 154.524744 \nL 151.850604 154.222664 \nL 144.599336 153.775807 \nL 139.930564 153.704959 \nL 135.669534 153.842892 \nL 131.381263 154.193683 \nL 127.095733 154.76724 \nL 122.844174 155.567562 \nL 118.658592 156.59517 \nL 114.571446 157.848194 \nL 111.047516 159.148213 \nL 107.650227 160.619551 \nL 104.40253 162.257314 \nL 101.327196 164.055545 \nL 98.446688 166.0072 \nL 95.78304 168.104149 \nL 93.647152 170.050942 \nL 91.707709 172.095057 \nL 89.978174 174.228981 \nL 88.471435 176.444558 \nL 87.199724 178.733004 \nL 86.174518 181.084911 \nL 85.500062 183.143772 \nL 85.020706 185.235268 \nL 84.742052 187.352455 \nL 84.66911 189.488101 \nL 84.806262 191.634698 \nL 85.15718 193.78449 \nL 85.724821 195.929494 \nL 86.511369 198.061516 \nL 87.518182 200.17219 \nL 88.745772 202.252998 \nL 90.193748 204.295309 \nL 91.860798 206.290411 \nL 93.744642 208.229547 \nL 95.842037 210.103947 \nL 98.148705 211.904893 \nL 101.097209 213.901623 \nL 104.313152 215.773068 \nL 107.784431 217.506017 \nL 111.497035 219.087643 \nL 115.435061 220.505601 \nL 119.580762 221.748083 \nL 123.914594 222.803889 \nL 128.415298 223.662438 \nL 133.059987 224.313759 \nL 137.824229 224.748461 \nL 142.68217 224.957567 \nL 147.60661 224.932299 \nL 152.569088 224.663732 \nL 157.539959 224.142188 \nL 161.784049 223.485331 \nL 165.991534 222.6257 \nL 170.141541 221.55228 \nL 174.212311 220.250634 \nL 177.527647 218.977842 \nL 180.758167 217.518602 \nL 183.889063 215.854047 \nL 186.904422 213.960014 \nL 189.221942 212.259169 \nL 191.444798 210.372644 \nL 193.562431 208.277497 \nL 195.563202 205.946816 \nL 197.434248 203.349596 \nL 198.743833 201.205878 \nL 199.965739 198.876642 \nL 201.092729 196.345156 \nL 202.116956 193.594445 \nL 203.029911 190.607973 \nL 203.822439 187.370644 \nL 204.484783 183.870086 \nL 205.00662 180.09827 \nL 205.377196 176.053509 \nL 205.58553 171.742767 \nL 205.620698 167.184199 \nL 205.472224 162.409747 \nL 205.130575 157.467523 \nL 204.587777 152.423605 \nL 203.838141 147.362791 \nL 202.879009 142.387788 \nL 201.711568 137.616403 \nL 200.341548 133.176418 \nL 199.320773 130.465079 \nL 198.219159 127.996486 \nL 197.042271 125.805367 \nL 195.796662 123.922403 \nL 194.489812 122.372941 \nL 193.129981 121.175841 \nL 191.726055 120.34258 \nL 190.287349 119.876672 \nL 188.82339 119.773459 \nL 187.343694 120.020293 \nL 185.857542 120.597085 \nL 184.373763 121.477208 \nL 182.900552 122.628645 \nL 181.445305 124.015342 \nL 179.310026 126.451624 \nL 177.247148 129.196134 \nL 174.629976 133.111852 \nL 171.016287 139.000608 \nL 166.764461 145.91798 \nL 164.389043 149.393333 \nL 162.612882 151.666739 \nL 160.924383 153.511963 \nL 159.303883 154.969954 \nL 157.733825 156.091254 \nL 156.199138 156.929437 \nL 154.687327 157.536674 \nL 152.814699 158.043654 \nL 150.573941 158.388166 \nL 147.571297 158.579796 \nL 134.439181 159.074895 \nL 130.523986 159.563827 \nL 126.639997 160.275126 \nL 122.823185 161.214678 \nL 119.475997 162.255194 \nL 116.240304 163.477411 \nL 113.14327 164.876595 \nL 110.211852 166.446428 \nL 107.472629 168.179112 \nL 105.220137 169.848533 \nL 103.157773 171.63186 \nL 101.302661 173.520729 \nL 99.671183 175.505885 \nL 98.278863 177.577206 \nL 97.268218 179.451684 \nL 96.460843 181.375865 \nL 95.865031 183.341409 \nL 95.488261 185.339534 \nL 95.33713 187.361039 \nL 95.417281 189.396335 \nL 95.733327 191.435486 \nL 96.288786 193.468233 \nL 97.086011 195.484052 \nL 98.12612 197.472208 \nL 99.408962 199.421782 \nL 100.93303 201.321759 \nL 102.695439 203.161068 \nL 104.691877 204.928661 \nL 106.916584 206.613567 \nL 109.362322 208.204976 \nL 112.020379 209.692299 \nL 114.880563 211.065246 \nL 118.38183 212.481568 \nL 122.11215 213.721443 \nL 126.049478 214.77162 \nL 130.169523 215.619809 \nL 134.445875 216.254769 \nL 138.850147 216.666366 \nL 143.352199 216.845559 \nL 147.920295 216.784387 \nL 152.521311 216.475831 \nL 156.547261 215.997991 \nL 160.548555 215.322085 \nL 164.501075 214.444298 \nL 168.380283 213.360641 \nL 172.161245 212.066598 \nL 175.818665 210.55679 \nL 178.835812 209.085962 \nL 181.726904 207.446719 \nL 184.475238 205.633089 \nL 187.063794 203.638245 \nL 189.475198 201.454761 \nL 191.336571 199.485705 \nL 193.05211 197.376636 \nL 194.611171 195.124822 \nL 196.003036 192.729484 \nL 197.217014 190.192882 \nL 198.242648 187.521643 \nL 199.069979 184.72823 \nL 199.68988 181.832432 \nL 200.094555 178.862672 \nL 200.278078 175.856799 \nL 200.237009 172.862049 \nL 199.970999 169.933781 \nL 199.483356 167.132774 \nL 198.781388 164.52104 \nL 197.876542 162.156449 \nL 197.016778 160.47531 \nL 196.046287 159.000689 \nL 194.975458 157.742189 \nL 193.815276 156.700682 \nL 192.576876 155.868174 \nL 191.271075 155.228441 \nL 189.559277 154.664059 \nL 187.774917 154.308494 \nL 185.180078 154.0442 \nL 175.212435 153.329001 \nL 170.910644 152.654262 \nL 163.574947 151.204459 \nL 156.678804 149.929731 \nL 151.500918 149.201858 \nL 146.688493 148.749596 \nL 141.760486 148.524618 \nL 137.308252 148.531955 \nL 132.812904 148.743319 \nL 128.298935 149.163687 \nL 123.791581 149.795741 \nL 119.316621 150.640516 \nL 114.900284 151.697692 \nL 110.569124 152.965739 \nL 106.349939 154.441947 \nL 102.269654 156.122432 \nL 98.35522 158.002115 \nL 95.08728 159.805327 \nL 91.984795 161.751252 \nL 89.065447 163.834148 \nL 86.346681 166.047525 \nL 83.845546 168.384113 \nL 81.578712 170.835886 \nL 79.834416 173.022423 \nL 78.283886 175.281118 \nL 76.936538 177.605556 \nL 75.801328 179.988894 \nL 74.88673 182.423888 \nL 74.200679 184.902889 \nL 73.750492 187.417852 \nL 73.542842 189.960358 \nL 73.58367 192.521629 \nL 73.878142 195.092542 \nL 74.430582 197.663654 \nL 75.244424 200.225234 \nL 76.124114 202.345396 \nL 76.124114 202.345396 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pfe0466b888\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,0], result_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=torch.optim.SGD,\n",
+    "    optimizer_args={\"lr\": 0.01}\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(20000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [-9.8126e-06, -3.2875e-08,  1.9441e-03],\n",
+       "        [-3.8521e-05, -2.5948e-07,  3.7804e-03],\n",
+       "        ...,\n",
+       "        [ 5.7814e-01, -6.2418e+00,  3.3245e-02],\n",
+       "        [ 6.4026e-01, -6.2482e+00,  3.3545e-02],\n",
+       "        [ 7.0243e-01, -6.2539e+00,  3.3850e-02]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 22
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "<ipython-input-23-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T22:24:17.625663</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m27369be7a7\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.977353\" xlink:href=\"#m27369be7a7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(18.425009 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"108.031586\" xlink:href=\"#m27369be7a7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.660492 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"187.085818\" xlink:href=\"#m27369be7a7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(183.904568 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"266.140051\" xlink:href=\"#m27369be7a7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(262.958801 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"345.194283\" xlink:href=\"#m27369be7a7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(338.831783 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_6\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m4aa4da5d64\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4aa4da5d64\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4aa4da5d64\" y=\"208.224534\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 5 -->\n      <g transform=\"translate(13.5625 212.023752)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4aa4da5d64\" y=\"155.233067\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 159.032286)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4aa4da5d64\" y=\"102.241601\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 15 -->\n      <g transform=\"translate(7.2 106.04082)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4aa4da5d64\" y=\"49.250135\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 53.049353)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_11\">\n    <path clip-path=\"url(#pe207a55be4)\" d=\"M 187.085818 261.216 \nL 186.97251 260.892088 \nL 186.666339 260.846447 \nL 179.878673 260.87101 \nL 194.679902 260.816294 \nL 220.989246 260.639886 \nL 150.350132 260.943237 \nL 141.372107 260.968133 \nL 232.503277 260.616869 \nL 247.960169 260.342456 \nL 249.312954 260.24505 \nL 248.77867 260.199206 \nL 244.500314 260.165548 \nL 229.439802 260.311283 \nL 184.630153 260.774414 \nL 139.647338 260.954923 \nL 103.397527 261.022386 \nL 244.227052 260.601642 \nL 267.762645 260.277609 \nL 281.460518 259.881175 \nL 289.528584 259.43646 \nL 294.412839 258.953492 \nL 297.075941 258.499156 \nL 298.679822 258.019774 \nL 299.392231 257.610633 \nL 299.655658 257.236865 \nL 299.646144 256.916978 \nL 299.43813 256.579655 \nL 298.895813 256.136095 \nL 297.827018 255.578302 \nL 296.000127 254.907973 \nL 293.549066 254.242041 \nL 289.992132 253.530481 \nL 286.234271 252.996715 \nL 281.896706 252.591136 \nL 277.0089 252.354401 \nL 271.607094 252.318695 \nL 265.732949 252.502 \nL 258.499336 252.97807 \nL 249.781018 253.811744 \nL 236.287397 255.383704 \nL 218.545922 257.426398 \nL 206.975524 258.521556 \nL 196.322032 259.308984 \nL 185.497482 259.899107 \nL 173.340717 260.349403 \nL 157.477352 260.692093 \nL 135.795478 260.902894 \nL 95.923376 261.018378 \nL 46.40765 261.070357 \nL 243.121214 260.697454 \nL 278.380061 260.367806 \nL 299.339457 259.956924 \nL 313.272922 259.467219 \nL 323.651323 258.871182 \nL 330.918553 258.239603 \nL 336.597576 257.54019 \nL 340.871819 256.829035 \nL 344.887875 255.943509 \nL 347.718618 255.136773 \nL 350.383589 254.180578 \nL 352.872264 253.045002 \nL 355.172836 251.694133 \nL 356.595482 250.653053 \nL 357.924146 249.482653 \nL 359.15394 248.166444 \nL 360.279497 246.685991 \nL 361.294937 245.020757 \nL 362.193745 243.147954 \nL 362.968744 241.042418 \nL 363.611989 238.676525 \nL 364.114778 236.020157 \nL 364.467492 233.040749 \nL 364.659561 229.70344 \nL 364.679449 225.971378 \nL 364.514506 221.806194 \nL 364.151042 217.168719 \nL 363.574248 212.019984 \nL 362.768262 206.322563 \nL 361.716242 200.042299 \nL 360.400516 193.150487 \nL 358.802764 185.626512 \nL 356.904318 177.460969 \nL 354.686587 168.659207 \nL 352.131492 159.245188 \nL 349.222176 149.265514 \nL 345.94368 138.793279 \nL 342.283851 127.931528 \nL 338.2342 116.815639 \nL 333.790943 105.614303 \nL 331.422066 100.043208 \nL 328.956009 94.528473 \nL 326.394039 89.099679 \nL 323.737904 83.787797 \nL 320.98982 78.624978 \nL 318.152503 73.644172 \nL 315.229179 68.878793 \nL 312.223571 64.362357 \nL 309.139918 60.127996 \nL 305.982954 56.208034 \nL 302.757896 52.633499 \nL 299.470413 49.433684 \nL 296.126605 46.635614 \nL 292.732962 44.263648 \nL 289.296324 42.339052 \nL 285.823822 40.879576 \nL 282.322829 39.899186 \nL 278.800907 39.407748 \nL 275.265724 39.410901 \nL 271.725007 39.909879 \nL 268.186476 40.901529 \nL 264.657761 42.37835 \nL 261.146357 44.328598 \nL 257.659545 46.736525 \nL 254.204345 49.582645 \nL 250.787467 52.844096 \nL 247.415236 56.495021 \nL 244.093578 60.50696 \nL 240.827974 64.849388 \nL 237.62343 69.490144 \nL 234.484458 74.395894 \nL 231.415061 79.532656 \nL 228.418727 84.866208 \nL 225.49843 90.362569 \nL 222.656627 95.988313 \nL 217.215873 107.499479 \nL 212.106505 119.156888 \nL 207.331587 130.745204 \nL 202.888106 142.081342 \nL 196.825484 158.296333 \nL 189.795192 177.922545 \nL 175.551867 218.06076 \nL 171.77847 227.935668 \nL 168.54387 235.759603 \nL 165.741232 241.874318 \nL 163.282919 246.59958 \nL 161.09877 250.216833 \nL 159.133706 252.963831 \nL 157.345223 255.035638 \nL 155.701033 256.588857 \nL 154.176969 257.747133 \nL 152.41418 258.784187 \nL 150.78736 259.493993 \nL 148.993087 260.053059 \nL 146.844608 260.487152 \nL 144.117634 260.787405 \nL 140.285727 260.949696 \nL 139.405224 260.968102 \nL 144.900916 260.966474 \nL 214.317356 260.759987 \nL 242.934057 260.488159 \nL 251.749506 260.227632 \nL 251.964886 260.187287 \nL 251.578344 260.14004 \nL 248.405555 260.089054 \nL 237.365325 260.167734 \nL 174.905153 260.826113 \nL 123.538791 260.987302 \nL 99.896556 261.026207 \nL 235.763713 260.676733 \nL 264.423586 260.360896 \nL 279.933528 259.993006 \nL 289.458703 259.568604 \nL 295.545317 259.093257 \nL 299.460868 258.574409 \nL 301.779504 258.061022 \nL 303.183016 257.529617 \nL 303.814763 257.099149 \nL 304.128809 256.624543 \nL 304.146601 256.212861 \nL 303.953417 255.773333 \nL 303.411016 255.186978 \nL 302.530129 254.564229 \nL 301.02189 253.779846 \nL 299.019169 252.973355 \nL 296.059664 252.039636 \nL 292.438813 251.164185 \nL 288.823096 250.506996 \nL 284.753285 249.979566 \nL 280.252708 249.621678 \nL 275.349673 249.466979 \nL 270.076659 249.538485 \nL 264.469078 249.844823 \nL 258.563781 250.377978 \nL 251.346793 251.252695 \nL 241.63339 252.675015 \nL 216.388983 256.508868 \nL 206.830327 257.694445 \nL 197.127159 258.668704 \nL 187.311501 259.421678 \nL 176.177276 260.027473 \nL 163.758468 260.459907 \nL 148.91445 260.748977 \nL 127.150407 260.932693 \nL 81.358827 261.036487 \nL 44.190929 261.071783 \nL 233.220481 260.754068 \nL 272.79123 260.44707 \nL 296.030917 260.056266 \nL 310.51261 259.615485 \nL 321.364142 259.080187 \nL 329.006462 258.513464 \nL 335.011751 257.885868 \nL 340.654404 257.064696 \nL 344.884633 256.223161 \nL 348.84125 255.167876 \nL 351.615706 254.200643 \nL 354.212794 253.048279 \nL 356.620286 251.672799 \nL 358.113138 250.609654 \nL 359.510951 249.411516 \nL 360.808613 248.060698 \nL 362.000515 246.537348 \nL 363.080475 244.819256 \nL 364.041603 242.881669 \nL 364.876328 240.697128 \nL 365.576207 238.235348 \nL 366.131966 235.46314 \nL 366.533308 232.344433 \nL 366.768923 228.840412 \nL 366.826311 224.909799 \nL 366.691827 220.509355 \nL 366.350573 215.594655 \nL 365.786399 210.121162 \nL 364.981937 204.045743 \nL 363.918668 197.328625 \nL 362.577098 189.935874 \nL 360.9369 181.842467 \nL 358.977372 173.035939 \nL 356.67775 163.520534 \nL 354.017845 153.321824 \nL 350.978809 142.491507 \nL 347.54386 131.112039 \nL 343.699426 119.300736 \nL 339.436114 107.212715 \nL 334.749929 95.041955 \nL 332.24877 88.996524 \nL 329.643403 83.019924 \nL 326.935353 77.146217 \nL 324.126655 71.41104 \nL 321.219902 65.851287 \nL 318.21826 60.504696 \nL 315.125454 55.409434 \nL 311.94582 50.603565 \nL 308.684234 46.124587 \nL 305.346156 42.008846 \nL 301.937571 38.290949 \nL 298.46497 35.0032 \nL 294.935328 32.175091 \nL 291.356026 29.832719 \nL 287.734813 27.998342 \nL 284.079756 26.689949 \nL 280.399149 25.920883 \nL 276.701459 25.699634 \nL 272.995233 26.029577 \nL 269.289046 26.908995 \nL 265.591401 28.331034 \nL 261.910666 30.28387 \nL 258.254991 32.750885 \nL 254.63224 35.711036 \nL 251.049944 39.139196 \nL 247.515213 43.006661 \nL 244.034708 47.281593 \nL 240.614592 51.929605 \nL 237.260489 56.914354 \nL 233.977465 62.198077 \nL 230.770011 67.742144 \nL 227.642035 73.507662 \nL 224.596851 79.455921 \nL 221.637195 85.548937 \nL 218.765239 91.749809 \nL 213.290397 104.335312 \nL 208.179191 116.952169 \nL 203.431105 129.375591 \nL 199.039362 141.419939 \nL 193.092848 158.46742 \nL 186.270974 178.821238 \nL 173.725466 216.637574 \nL 170.077828 226.993688 \nL 166.99729 235.148438 \nL 164.369096 241.48464 \nL 162.099853 246.354611 \nL 160.115312 250.064235 \nL 158.357532 252.868884 \nL 156.782028 254.975891 \nL 155.355112 256.550157 \nL 153.742734 257.962636 \nL 152.288656 258.931792 \nL 150.720446 259.697348 \nL 149.104057 260.238346 \nL 147.15632 260.639233 \nL 144.779143 260.882876 \nL 143.470168 260.954997 \nL 145.249065 260.962811 \nL 201.24412 260.820261 \nL 236.579933 260.559473 \nL 246.447271 260.314844 \nL 246.484918 260.300682 \nL 246.160035 260.270319 \nL 242.704955 260.23738 \nL 228.257166 260.361412 \nL 181.02929 260.80273 \nL 131.685672 260.973643 \nL 107.146001 261.018139 \nL 237.648618 260.650495 \nL 263.732536 260.331917 \nL 278.063581 259.948021 \nL 286.031097 259.531551 \nL 290.738859 259.077578 \nL 293.184085 258.644595 \nL 294.361663 258.241947 \nL 294.774562 257.907518 \nL 294.803754 257.609102 \nL 294.542385 257.295025 \nL 293.840923 256.90208 \nL 292.483747 256.431662 \nL 290.220901 255.899407 \nL 286.775276 255.3472 \nL 282.398635 254.898301 \nL 277.128886 254.611338 \nL 271.737439 254.533617 \nL 264.93589 254.674958 \nL 257.426667 255.061667 \nL 247.403147 255.821138 \nL 207.461213 259.125495 \nL 194.841506 259.804469 \nL 181.947232 260.282328 \nL 166.517453 260.631615 \nL 145.202947 260.866472 \nL 109.33071 260.997743 \nL 49.857014 261.068139 \nL 252.907723 260.626036 \nL 282.133421 260.298007 \nL 300.772711 259.886729 \nL 314.074595 259.370654 \nL 322.739563 258.837624 \nL 329.683829 258.211017 \nL 335.094697 257.521794 \nL 339.155928 256.825276 \nL 342.961157 255.96313 \nL 346.491433 254.89176 \nL 348.945909 253.918166 \nL 351.223471 252.767461 \nL 353.312629 251.405637 \nL 354.594353 250.360854 \nL 355.782319 249.190807 \nL 356.871839 247.880277 \nL 357.857786 246.412383 \nL 358.734549 244.768477 \nL 359.495978 242.928049 \nL 360.135302 240.868667 \nL 360.645133 238.565956 \nL 361.017358 235.993627 \nL 361.243112 233.123603 \nL 361.312714 229.926218 \nL 361.215654 226.370574 \nL 360.940549 222.425043 \nL 360.475139 218.057976 \nL 359.806292 213.238649 \nL 358.390928 205.100098 \nL 356.436496 195.801475 \nL 353.890765 185.297458 \nL 351.839062 177.625724 \nL 349.485988 169.439078 \nL 346.817382 160.774315 \nL 343.820581 151.688632 \nL 340.485119 142.262253 \nL 336.803411 132.600322 \nL 332.771568 122.83383 \nL 328.390087 113.119139 \nL 326.069793 108.336527 \nL 323.664683 103.635815 \nL 321.176355 99.042382 \nL 318.60683 94.582425 \nL 315.958536 90.282701 \nL 313.234306 86.170234 \nL 310.437377 82.272084 \nL 307.571395 78.614911 \nL 304.640419 75.224734 \nL 301.648887 72.126517 \nL 298.601603 69.343851 \nL 295.503724 66.898567 \nL 292.360722 64.810435 \nL 289.178351 63.09684 \nL 285.962603 61.772478 \nL 282.719677 60.849113 \nL 279.455928 60.335378 \nL 276.177816 60.23665 \nL 272.891864 60.554889 \nL 269.604599 61.28866 \nL 266.322492 62.433112 \nL 263.051927 63.980078 \nL 259.799132 65.918177 \nL 256.570153 68.233056 \nL 253.370796 70.907554 \nL 250.206579 73.922022 \nL 247.082723 77.254608 \nL 244.004095 80.881599 \nL 240.975192 84.777809 \nL 238.00013 88.916858 \nL 235.082614 93.271567 \nL 232.225936 97.814342 \nL 229.432968 102.51747 \nL 226.706168 107.353439 \nL 221.458833 117.316628 \nL 216.495505 127.498349 \nL 211.821784 137.711755 \nL 207.437928 147.793423 \nL 201.395077 162.375729 \nL 194.282215 180.297857 \nL 180.51327 215.327989 \nL 176.2758 225.407534 \nL 172.582979 233.534625 \nL 170.108614 238.51525 \nL 167.845482 242.672656 \nL 165.761395 246.120345 \nL 163.828908 248.962972 \nL 162.024902 251.294624 \nL 160.330115 253.198243 \nL 158.213266 255.193507 \nL 156.232884 256.697259 \nL 154.366618 257.823633 \nL 152.598038 258.662642 \nL 150.507042 259.412573 \nL 148.154042 260.005314 \nL 145.258933 260.46656 \nL 141.711831 260.769046 \nL 136.803688 260.935347 \nL 132.155903 260.983098 \nL 140.890714 260.97508 \nL 215.551853 260.761529 \nL 246.301248 260.480325 \nL 258.725633 260.17479 \nL 261.687453 259.939174 \nL 261.709226 259.913524 \nL 261.594215 259.872568 \nL 260.540265 259.787312 \nL 256.339665 259.709339 \nL 246.455236 259.779465 \nL 219.100126 260.285581 \nL 191.416532 260.671107 \nL 158.785634 260.886267 \nL 97.182761 261.024938 \nL 87.190653 261.038994 \nL 227.435653 260.744408 \nL 262.128126 260.448885 \nL 281.893501 260.076079 \nL 293.887244 259.647176 \nL 302.005657 259.150272 \nL 307.67668 258.590134 \nL 311.425555 258.025429 \nL 314.144996 257.427395 \nL 316.381922 256.701162 \nL 317.858866 255.980277 \nL 318.77607 255.316751 \nL 319.449637 254.567177 \nL 319.871531 253.723405 \nL 320.033578 252.777706 \nL 319.927547 251.723264 \nL 319.54531 250.554796 \nL 318.87886 249.269304 \nL 317.920582 247.866955 \nL 316.301735 245.956727 \nL 314.2043 243.891053 \nL 311.619877 241.705524 \nL 308.5446 239.45358 \nL 305.732125 237.65212 \nL 302.611077 235.899268 \nL 299.189246 234.246388 \nL 295.478135 232.749006 \nL 292.514069 231.762309 \nL 289.403765 230.918613 \nL 286.156293 230.239854 \nL 282.781792 229.745507 \nL 279.291332 229.451697 \nL 275.696725 229.370369 \nL 272.01032 229.508619 \nL 268.244784 229.868243 \nL 264.412813 230.445495 \nL 260.526898 231.231142 \nL 256.599051 232.210766 \nL 251.316161 233.78517 \nL 246.00305 235.614669 \nL 239.350525 238.162888 \nL 228.751994 242.534209 \nL 216.976494 247.342867 \nL 210.516776 249.76977 \nL 204.114615 251.944805 \nL 197.764883 253.837764 \nL 191.461076 255.440747 \nL 185.196828 256.763623 \nL 178.967066 257.828967 \nL 172.768786 258.667168 \nL 165.371877 259.421038 \nL 156.80448 260.026927 \nL 147.114964 260.460013 \nL 135.209773 260.755025 \nL 117.977787 260.938691 \nL 82.626362 261.034891 \nL 47.416606 261.069705 \nL 235.897737 260.737488 \nL 272.827795 260.437636 \nL 295.413321 260.049079 \nL 309.455456 259.614963 \nL 319.957538 259.092293 \nL 328.52715 258.434546 \nL 334.251513 257.79861 \nL 339.611793 256.970951 \nL 343.615741 256.127271 \nL 347.346333 255.074857 \nL 349.951895 254.115011 \nL 352.38107 252.976678 \nL 354.622157 251.624537 \nL 356.005208 250.583833 \nL 357.294396 249.41515 \nL 358.484896 248.102385 \nL 359.571415 246.627578 \nL 360.548149 244.970766 \nL 361.408703 243.10985 \nL 362.146022 241.020496 \nL 362.752354 238.676057 \nL 363.219151 236.04757 \nL 363.537034 233.103821 \nL 363.695719 229.81151 \nL 363.683943 226.135572 \nL 363.489462 222.039658 \nL 363.099007 217.486857 \nL 362.498283 212.440661 \nL 361.672032 206.866287 \nL 360.60406 200.732326 \nL 359.277432 194.012833 \nL 357.674658 186.689827 \nL 355.777962 178.756217 \nL 353.5697 170.21913 \nL 351.032805 161.10347 \nL 348.151398 151.455648 \nL 344.911488 141.347075 \nL 341.301795 130.877266 \nL 337.314599 120.175969 \nL 332.946673 109.403911 \nL 328.200175 98.751705 \nL 325.687329 93.5375 \nL 323.083531 88.436437 \nL 320.390921 83.478796 \nL 317.612123 78.695608 \nL 314.750213 74.118347 \nL 311.808757 69.778506 \nL 308.791803 65.707257 \nL 305.703868 61.935024 \nL 302.549912 58.490995 \nL 299.335325 55.402784 \nL 296.065914 52.695902 \nL 292.747845 50.393394 \nL 289.387616 48.515434 \nL 285.991999 47.078981 \nL 282.568011 46.097459 \nL 279.122838 45.580531 \nL 275.663778 45.533895 \nL 272.198189 45.959211 \nL 268.733437 46.854033 \nL 265.276805 48.21183 \nL 261.835455 50.022152 \nL 258.41636 52.270768 \nL 255.026261 54.939929 \nL 251.671604 58.008673 \nL 248.358499 61.453147 \nL 245.092673 65.247051 \nL 241.87944 69.362044 \nL 238.723678 73.768128 \nL 235.629805 78.434172 \nL 232.601758 83.328278 \nL 229.642991 88.418244 \nL 226.756473 93.671968 \nL 223.944688 99.057805 \nL 218.552903 110.103489 \nL 213.478327 121.323089 \nL 208.724958 132.509052 \nL 204.290908 143.483257 \nL 198.222445 159.23594 \nL 191.153769 178.393703 \nL 177.759353 215.122906 \nL 173.734071 225.487879 \nL 170.271991 233.765431 \nL 167.263828 240.27928 \nL 164.618769 245.343207 \nL 162.828464 248.361242 \nL 160.651302 251.544602 \nL 158.670526 253.959431 \nL 156.849065 255.77899 \nL 155.158889 257.141905 \nL 153.57916 258.157381 \nL 151.737035 259.065664 \nL 149.694976 259.784567 \nL 147.519106 260.292996 \nL 145.0248 260.643713 \nL 141.611473 260.875933 \nL 137.390916 260.972988 \nL 141.843039 260.971556 \nL 212.832251 260.770504 \nL 243.317745 260.495571 \nL 253.844379 260.216437 \nL 254.676133 260.119361 \nL 254.381954 260.072952 \nL 251.926889 260.008437 \nL 243.44852 260.03691 \nL 214.97059 260.444938 \nL 183.478911 260.767356 \nL 141.163305 260.948522 \nL 96.332732 261.029994 \nL 249.240649 260.569989 \nL 272.225466 260.233795 \nL 285.434942 259.846231 \nL 293.846969 259.40516 \nL 299.646627 258.889253 \nL 303.402173 258.337643 \nL 305.663247 257.808902 \nL 307.117822 257.274786 \nL 307.975806 256.766277 \nL 308.501665 256.195659 \nL 308.677147 255.692328 \nL 308.629967 255.146403 \nL 308.356105 254.55793 \nL 307.689557 253.764431 \nL 306.657215 252.91182 \nL 304.92926 251.824479 \nL 302.663776 250.691906 \nL 299.861207 249.550993 \nL 296.527758 248.449616 \nL 292.67635 247.444962 \nL 289.085573 246.726944 \nL 285.164805 246.156501 \nL 280.933377 245.767659 \nL 276.413793 245.588639 \nL 271.631166 245.638919 \nL 266.612397 245.926791 \nL 261.385229 246.447876 \nL 254.876276 247.355751 \nL 248.152042 248.521684 \nL 238.920949 250.353687 \nL 217.39236 254.709991 \nL 208.827626 256.188497 \nL 200.186451 257.445549 \nL 191.483963 258.461894 \nL 182.735656 259.245836 \nL 172.705029 259.892389 \nL 161.420072 260.367956 \nL 147.71243 260.699125 \nL 129.400579 260.903008 \nL 95.550344 261.016949 \nL 43.157727 261.072407 \nL 248.315051 260.66817 \nL 280.998953 260.341481 \nL 300.928743 259.93998 \nL 313.860889 259.490713 \nL 323.323926 258.97993 \nL 330.960788 258.372623 \nL 336.952883 257.697091 \nL 341.480549 257.007295 \nL 345.752335 256.144638 \nL 348.776172 255.355467 \nL 351.635172 254.416411 \nL 354.318584 253.29645 \nL 356.81433 251.958058 \nL 358.367149 250.922449 \nL 359.825894 249.754212 \nL 361.185483 248.435731 \nL 362.440382 246.947178 \nL 363.584426 245.266303 \nL 364.610797 243.368229 \nL 365.511927 241.225266 \nL 366.279463 238.806747 \nL 366.904101 236.078931 \nL 367.375557 233.004961 \nL 367.682463 229.544958 \nL 367.812273 225.656237 \nL 367.751205 221.293761 \nL 367.484197 216.410826 \nL 366.994843 210.960095 \nL 366.26541 204.895036 \nL 365.276946 198.171823 \nL 364.009335 190.751828 \nL 362.441558 182.604696 \nL 360.551949 173.712068 \nL 358.318687 164.071919 \nL 355.720302 153.703395 \nL 352.736453 142.651991 \nL 349.348774 130.994683 \nL 345.541871 118.844613 \nL 341.304494 106.354694 \nL 336.630733 93.719462 \nL 334.130147 87.419418 \nL 331.521312 81.174348 \nL 328.805542 75.019435 \nL 325.984706 68.991712 \nL 323.06123 63.129729 \nL 320.038162 57.473147 \nL 316.91912 52.062335 \nL 313.708371 46.937782 \nL 310.410786 42.139595 \nL 307.031822 37.706908 \nL 303.577527 33.677241 \nL 300.054505 30.085908 \nL 296.469872 26.965434 \nL 292.831206 24.344889 \nL 289.146505 22.24942 \nL 285.424101 20.699725 \nL 281.672618 19.711674 \nL 277.900877 19.296 \nL 274.11782 19.458 \nL 270.332426 20.197533 \nL 266.553644 21.508917 \nL 262.790287 23.381076 \nL 259.050964 25.797736 \nL 255.344001 28.737793 \nL 251.677379 32.175637 \nL 248.058665 36.081691 \nL 244.494946 40.422886 \nL 240.992792 45.163341 \nL 237.558216 50.264869 \nL 234.196641 55.687669 \nL 230.912883 61.390926 \nL 227.711136 67.333424 \nL 224.59497 73.474066 \nL 221.567344 79.772442 \nL 218.630611 86.189256 \nL 213.036341 99.229114 \nL 207.819799 112.315951 \nL 202.980748 125.209788 \nL 198.512262 137.712523 \nL 192.476193 155.40475 \nL 185.578358 176.508693 \nL 171.123967 221.240692 \nL 167.822669 230.707214 \nL 165.0433 238.092071 \nL 162.67808 243.78468 \nL 160.640603 248.130403 \nL 158.863009 251.421461 \nL 157.29289 253.897192 \nL 155.890344 255.749054 \nL 154.327904 257.412492 \nL 152.938965 258.555253 \nL 151.461998 259.459185 \nL 149.962753 260.09907 \nL 148.349692 260.541894 \nL 146.394936 260.836968 \nL 145.169451 260.944811 \nL 146.268206 260.95874 \nL 182.770381 260.884417 \nL 229.4314 260.636133 \nL 243.895056 260.378162 \nL 244.192654 260.345222 \nL 243.380995 260.304473 \nL 237.034121 260.306047 \nL 202.767995 260.652239 \nL 163.759636 260.886247 \nL 110.19572 261.014458 \nL 256.775084 260.432487 \nL 273.146138 260.073245 \nL 282.026885 259.679246 \nL 286.940777 259.266889 \nL 289.455808 258.867757 \nL 290.580152 258.491052 \nL 290.846745 258.21688 \nL 290.767712 257.976559 \nL 290.411522 257.728028 \nL 289.443225 257.372625 \nL 287.662866 256.969874 \nL 284.804258 256.548571 \nL 280.583618 256.165739 \nL 275.301806 255.927509 \nL 269.017017 255.883102 \nL 261.804205 256.06069 \nL 252.902401 256.506604 \nL 239.348742 257.43254 \nL 216.050613 259.030469 \nL 201.876289 259.7596 \nL 187.206084 260.279739 \nL 171.076815 260.627008 \nL 149.112425 260.8603 \nL 111.795259 260.994878 \nL 53.315531 261.065878 \nL 252.032973 260.62744 \nL 281.913171 260.286914 \nL 299.930553 259.879582 \nL 312.753192 259.373926 \nL 322.228616 258.76787 \nL 328.814333 258.134911 \nL 333.925156 257.44318 \nL 337.746293 256.748249 \nL 341.312033 255.893061 \nL 344.604235 254.837038 \nL 346.881662 253.883028 \nL 348.984073 252.76157 \nL 350.900628 251.44193 \nL 352.619158 249.88805 \nL 353.648108 248.701495 \nL 354.57843 247.378197 \nL 355.405224 245.902687 \nL 356.123106 244.25805 \nL 356.726242 242.42588 \nL 357.208223 240.386288 \nL 357.562113 238.117936 \nL 357.780343 235.598138 \nL 357.854725 232.803042 \nL 357.776377 229.707898 \nL 357.535756 226.287457 \nL 356.847925 220.491874 \nL 355.73437 213.826753 \nL 354.154667 206.222263 \nL 352.066128 197.629606 \nL 349.425041 188.033514 \nL 346.188538 177.467105 \nL 343.680367 169.928909 \nL 340.879705 162.049535 \nL 337.778169 153.895091 \nL 334.369803 145.5508 \nL 330.651575 137.121659 \nL 326.624015 128.731998 \nL 322.291749 120.523954 \nL 320.014052 116.536606 \nL 317.664023 112.654435 \nL 315.243593 108.898626 \nL 312.755032 105.290666 \nL 310.200925 101.852095 \nL 307.584189 98.6043 \nL 304.90806 95.568253 \nL 302.176096 92.76428 \nL 299.392156 90.211768 \nL 296.56038 87.928948 \nL 293.685178 85.932591 \nL 290.77121 84.237796 \nL 287.823338 82.857783 \nL 284.846621 81.80367 \nL 281.846261 81.084292 \nL 278.827588 80.706055 \nL 275.796001 80.672883 \nL 272.75695 80.986069 \nL 269.71587 81.644298 \nL 266.678176 82.643689 \nL 263.649197 83.977795 \nL 260.634151 85.63772 \nL 257.638103 87.612246 \nL 254.665933 89.88803 \nL 251.722298 92.44974 \nL 248.811624 95.280346 \nL 245.938062 98.3613 \nL 243.105475 101.672832 \nL 240.317419 105.194172 \nL 237.577128 108.903851 \nL 234.887511 112.779938 \nL 232.251147 116.800296 \nL 227.146793 125.185672 \nL 222.278019 133.887489 \nL 217.653682 142.743462 \nL 213.277927 151.606258 \nL 207.179196 164.636322 \nL 199.887931 180.998168 \nL 184.139567 216.842065 \nL 179.668438 226.277741 \nL 176.65185 232.207051 \nL 173.880318 237.251923 \nL 171.318918 241.509106 \nL 168.936898 245.075426 \nL 166.707618 248.043516 \nL 164.608305 250.499188 \nL 162.619745 252.520034 \nL 160.725915 254.174886 \nL 158.913597 255.523888 \nL 156.60566 256.935379 \nL 154.403839 257.996906 \nL 152.293587 258.790153 \nL 149.769124 259.501028 \nL 146.889583 260.063951 \nL 143.286709 260.502194 \nL 138.766194 260.789047 \nL 132.213639 260.946273 \nL 124.053488 260.995948 \nL 138.608941 260.98082 \nL 216.582739 260.764791 \nL 248.962581 260.48271 \nL 263.984209 260.157858 \nL 270.592905 259.823113 \nL 272.463916 259.55223 \nL 272.543673 259.471498 \nL 272.48673 259.423633 \nL 271.947519 259.300477 \nL 270.0765 259.138715 \nL 265.610271 259.00031 \nL 257.98024 259.004305 \nL 245.858618 259.255846 \nL 195.69915 260.518522 \nL 170.479918 260.796127 \nL 132.051075 260.961058 \nL 73.55185 261.050903 \nL 255.211183 260.563574 \nL 280.693879 260.205886 \nL 295.952766 259.784479 \nL 305.751704 259.322799 \nL 312.82143 258.80379 \nL 318.382253 258.194112 \nL 322.642383 257.515402 \nL 325.808635 256.807376 \nL 328.602617 255.936752 \nL 330.553928 255.097806 \nL 332.238743 254.107522 \nL 333.318959 253.249767 \nL 334.234851 252.279751 \nL 334.979558 251.184045 \nL 335.545692 249.948255 \nL 335.925366 248.557177 \nL 336.110182 246.995051 \nL 336.091168 245.24593 \nL 335.85884 243.294189 \nL 335.403246 241.125207 \nL 334.713967 238.726232 \nL 333.412928 235.153464 \nL 331.651846 231.143984 \nL 329.405768 226.706653 \nL 326.651789 221.877105 \nL 324.241401 218.037867 \nL 321.528707 214.060005 \nL 318.510434 210.000819 \nL 315.186431 205.93139 \nL 311.560333 201.935865 \nL 308.978851 199.359964 \nL 306.270054 196.889563 \nL 303.438437 194.556187 \nL 300.489486 192.391786 \nL 297.42971 190.428009 \nL 294.266586 188.695397 \nL 291.008506 187.222523 \nL 287.664736 186.035171 \nL 284.245287 185.155495 \nL 280.760812 184.601296 \nL 277.222447 184.385393 \nL 273.641659 184.515136 \nL 270.030066 184.992121 \nL 266.399264 185.812062 \nL 262.760658 186.964893 \nL 259.125256 188.435058 \nL 255.503553 190.201964 \nL 251.905349 192.240616 \nL 248.339651 194.522389 \nL 244.81454 197.015829 \nL 241.33713 199.687553 \nL 236.223468 203.954039 \nL 231.246685 208.428009 \nL 224.842026 214.524856 \nL 204.55933 234.210956 \nL 199.323989 238.817145 \nL 195.535596 241.904944 \nL 191.853479 244.676338 \nL 188.266788 247.138746 \nL 184.765094 249.305971 \nL 181.338633 251.19642 \nL 177.978488 252.831517 \nL 174.676704 254.234381 \nL 170.353263 255.784602 \nL 166.107748 257.019384 \nL 161.929692 257.990747 \nL 157.811536 258.745873 \nL 152.740752 259.448413 \nL 146.762973 260.025657 \nL 139.937608 260.44627 \nL 131.417326 260.741667 \nL 118.839993 260.931153 \nL 94.323143 261.023833 \nL 71.925245 261.052207 \nL 238.931428 260.693627 \nL 271.122006 260.379634 \nL 289.832233 259.999535 \nL 302.471414 259.534363 \nL 310.998994 259.017114 \nL 316.990245 258.466088 \nL 321.634874 257.851052 \nL 325.132474 257.207409 \nL 328.267771 256.412954 \nL 330.499389 255.644228 \nL 332.471071 254.732823 \nL 334.168687 253.652371 \nL 335.252794 252.712991 \nL 336.167042 251.647218 \nL 336.903848 250.439464 \nL 337.455054 249.072963 \nL 337.8119 247.529952 \nL 337.96496 245.791968 \nL 337.904179 243.840293 \nL 337.618851 241.656571 \nL 337.097651 239.223646 \nL 336.328758 236.526632 \nL 335.299989 233.554233 \nL 333.502689 229.153102 \nL 331.192649 224.258314 \nL 328.343163 218.906692 \nL 325.838264 214.637456 \nL 323.010039 210.202718 \nL 319.854281 205.668125 \nL 316.370372 201.115924 \nL 312.562066 196.644193 \nL 309.847072 193.762444 \nL 306.995627 191.001615 \nL 304.012818 188.398717 \nL 300.904904 185.991239 \nL 297.679325 183.81624 \nL 294.34464 181.909327 \nL 290.910489 180.303628 \nL 287.387512 179.028726 \nL 283.787182 178.109688 \nL 280.121692 177.566156 \nL 276.403766 177.411625 \nL 272.64644 177.652923 \nL 268.862878 178.289871 \nL 265.066167 179.315258 \nL 261.269065 180.715021 \nL 257.483829 182.468697 \nL 253.72201 184.550072 \nL 249.994306 186.928041 \nL 246.310415 189.567583 \nL 242.678938 192.430815 \nL 239.107299 195.478091 \nL 233.875272 200.305913 \nL 228.807365 205.323344 \nL 222.321713 212.092812 \nL 204.734056 230.772757 \nL 199.4424 235.966055 \nL 195.634241 239.449985 \nL 191.949703 242.57778 \nL 188.376163 245.357 \nL 184.901438 247.802827 \nL 181.514079 249.935902 \nL 178.203589 251.780444 \nL 174.960554 253.362655 \nL 171.776709 254.709452 \nL 167.611547 256.184877 \nL 163.525418 257.349071 \nL 159.507988 258.256881 \nL 154.571936 259.104398 \nL 149.723451 259.706759 \nL 144.01656 260.195542 \nL 136.601083 260.583621 \nL 126.806431 260.840474 \nL 111.242003 260.982525 \nL 75.862886 261.048945 \nL 134.279786 260.996418 \nL 223.359913 260.77544 \nL 262.734014 260.47747 \nL 284.592143 260.103056 \nL 297.952199 259.670373 \nL 307.126666 259.169729 \nL 313.672922 258.609573 \nL 318.759966 257.955223 \nL 322.60333 257.231292 \nL 325.415406 256.480892 \nL 327.394053 255.762685 \nL 329.119173 254.920011 \nL 330.57834 253.931998 \nL 331.490145 253.081585 \nL 332.238788 252.125438 \nL 332.817874 251.052017 \nL 333.220588 249.8492 \nL 333.439767 248.504488 \nL 333.467798 247.005294 \nL 333.296718 245.339331 \nL 332.91819 243.495133 \nL 332.075805 240.741971 \nL 330.828219 237.637409 \nL 329.154366 234.175705 \nL 327.034011 230.367163 \nL 324.448835 226.243348 \nL 321.383939 221.862184 \nL 318.764324 218.459428 \nL 315.867628 215.010452 \nL 312.694945 211.57508 \nL 309.250548 208.22276 \nL 305.542235 205.030919 \nL 302.929013 203.032995 \nL 300.208041 201.168442 \nL 297.384565 199.462412 \nL 294.464626 197.939375 \nL 291.455008 196.622503 \nL 288.36319 195.53305 \nL 285.197307 194.68974 \nL 281.966036 194.108201 \nL 278.678485 193.800453 \nL 275.344109 193.774528 \nL 271.972534 194.034129 \nL 268.573478 194.57852 \nL 265.156577 195.402463 \nL 261.731248 196.496353 \nL 258.306582 197.846474 \nL 254.891196 199.435375 \nL 251.493144 201.242351 \nL 248.119819 203.244015 \nL 243.120546 206.555522 \nL 238.210797 210.156452 \nL 233.405482 213.95355 \nL 227.178736 219.165152 \nL 207.105622 236.332367 \nL 201.833531 240.438299 \nL 196.737561 244.079592 \nL 193.018917 246.499287 \nL 189.37921 248.656762 \nL 185.810062 250.562245 \nL 182.303602 252.230073 \nL 178.852633 253.677402 \nL 174.326682 255.296927 \nL 169.87518 256.604671 \nL 165.487952 257.646738 \nL 161.157468 258.466654 \nL 155.816626 259.239039 \nL 149.507412 259.88254 \nL 142.284437 260.358238 \nL 133.234838 260.697126 \nL 120.725494 260.908328 \nL 98.409532 261.014645 \nL 66.597565 261.056333 \nL 253.098066 260.596498 \nL 280.713172 260.244696 \nL 297.449809 259.818725 \nL 308.31176 259.339976 \nL 316.226328 258.788923 \nL 322.515422 258.12661 \nL 327.386197 257.372723 \nL 331.047685 256.56989 \nL 333.698211 255.782706 \nL 336.085423 254.837324 \nL 337.693504 254.004972 \nL 339.1372 253.049271 \nL 340.40852 251.95209 \nL 341.498824 250.69309 \nL 342.398567 249.249648 \nL 343.097391 247.596881 \nL 343.583895 245.707772 \nL 343.845611 243.553478 \nL 343.868952 241.10387 \nL 343.639203 238.32835 \nL 343.140485 235.197059 \nL 342.355865 231.682502 \nL 341.267552 227.761698 \nL 339.857118 223.418878 \nL 338.105974 218.648718 \nL 335.995887 213.46007 \nL 333.509746 207.87997 \nL 330.632471 201.957707 \nL 327.352135 195.768454 \nL 323.661155 189.415908 \nL 320.971168 185.154758 \nL 318.098809 180.926209 \nL 315.046745 176.781919 \nL 311.819312 172.777869 \nL 308.422654 168.973241 \nL 304.86477 165.429049 \nL 301.155575 162.206481 \nL 297.306836 159.365011 \nL 295.33431 158.10482 \nL 293.332118 156.960429 \nL 291.302211 155.937901 \nL 289.246626 155.042807 \nL 287.167488 154.2802 \nL 285.066992 153.654536 \nL 282.947398 153.169628 \nL 280.811023 152.828597 \nL 278.660218 152.633869 \nL 276.49738 152.587123 \nL 274.324914 152.689247 \nL 272.145249 152.940383 \nL 269.960796 153.339875 \nL 267.773961 153.886277 \nL 265.587118 154.577405 \nL 263.402605 155.410309 \nL 261.222714 156.38133 \nL 259.049675 157.48613 \nL 256.885646 158.719739 \nL 252.592849 161.550597 \nL 248.359871 164.823337 \nL 244.200635 168.480803 \nL 240.127243 172.461257 \nL 236.149901 176.700495 \nL 232.276852 181.133848 \nL 226.676075 188.010111 \nL 221.33706 194.981508 \nL 214.632657 204.124706 \nL 201.203839 222.615702 \nL 195.894775 229.506734 \nL 192.14135 234.078892 \nL 188.561907 238.144094 \nL 185.137251 241.721255 \nL 181.849151 244.839133 \nL 178.680712 247.532895 \nL 175.616608 249.841276 \nL 172.643211 251.804332 \nL 169.748612 253.461748 \nL 166.922596 254.851613 \nL 164.15655 256.009596 \nL 160.549675 257.249012 \nL 157.02375 258.202827 \nL 153.569321 258.929639 \nL 149.342465 259.592531 \nL 144.395718 260.125872 \nL 138.794964 260.506682 \nL 131.129178 260.788366 \nL 119.806616 260.952359 \nL 94.147306 261.029412 \nL 89.49657 261.036765 \nL 229.320721 260.731429 \nL 262.925992 260.42972 \nL 281.903378 260.053539 \nL 293.324194 259.626012 \nL 300.989094 259.136652 \nL 306.292091 258.591535 \nL 310.205659 257.960231 \nL 312.6119 257.372558 \nL 314.538799 256.666623 \nL 315.761416 255.973523 \nL 316.478861 255.341765 \nL 316.956982 254.634731 \nL 317.188767 253.846749 \nL 317.16722 252.972916 \nL 316.885495 252.009552 \nL 316.337004 250.954752 \nL 315.515502 249.809016 \nL 314.096112 248.254805 \nL 312.232008 246.580041 \nL 309.916546 244.811769 \nL 307.146735 242.990076 \nL 303.924255 241.168813 \nL 301.025086 239.756712 \nL 297.847555 238.426866 \nL 294.401364 237.221596 \nL 290.699218 236.184234 \nL 286.756835 235.356712 \nL 282.592739 234.77686 \nL 279.336718 234.523467 \nL 275.977341 234.436696 \nL 272.524689 234.52276 \nL 268.989114 234.783996 \nL 264.164087 235.40122 \nL 259.234702 236.310894 \nL 254.224339 237.48543 \nL 249.154616 238.886787 \nL 242.763034 240.886863 \nL 233.767529 243.970316 \nL 218.364794 249.309975 \nL 210.708832 251.717211 \nL 204.356646 253.500717 \nL 198.028233 255.055292 \nL 191.721062 256.374398 \nL 185.43276 257.465582 \nL 179.162024 258.346626 \nL 171.661023 259.160845 \nL 164.190594 259.754659 \nL 155.52606 260.231474 \nL 144.500965 260.603698 \nL 130.104171 260.849014 \nL 106.258389 260.99108 \nL 45.337521 261.071061 \nL 148.035262 260.982894 \nL 232.695726 260.755699 \nL 271.956664 260.453845 \nL 295.020212 260.072189 \nL 309.395648 259.644144 \nL 320.17043 259.126788 \nL 328.981643 258.473094 \nL 334.879528 257.838681 \nL 340.413526 257.009982 \nL 344.55609 256.162183 \nL 348.424498 255.10087 \nL 351.132549 254.129701 \nL 353.663156 252.974423 \nL 356.004198 251.597733 \nL 357.45284 250.535186 \nL 358.806564 249.339185 \nL 360.060348 247.992498 \nL 361.208673 246.475828 \nL 362.245434 244.767635 \nL 363.163889 242.84398 \nL 363.956606 240.678379 \nL 364.615351 238.241708 \nL 365.131047 235.502156 \nL 365.493683 232.425266 \nL 365.692235 228.974091 \nL 365.714596 225.109509 \nL 365.547573 220.790727 \nL 365.17678 215.976045 \nL 364.586687 210.623926 \nL 363.760602 204.694456 \nL 362.680807 198.151215 \nL 361.328697 190.963647 \nL 359.684941 183.109935 \nL 357.729891 174.580419 \nL 355.44396 165.381474 \nL 352.808151 155.539713 \nL 349.804775 145.106412 \nL 346.418257 134.16167 \nL 342.636022 122.818114 \nL 338.449565 111.22341 \nL 333.855448 99.56113 \nL 331.406113 93.771556 \nL 328.856447 88.049367 \nL 326.207896 82.426523 \nL 323.462436 76.936409 \nL 320.622556 71.613571 \nL 317.69127 66.493324 \nL 314.672137 61.611367 \nL 311.569244 57.003318 \nL 308.387227 52.704251 \nL 305.131243 48.748185 \nL 301.806954 45.167566 \nL 298.420504 41.992735 \nL 294.978468 39.251448 \nL 291.487818 36.968386 \nL 287.955892 35.164715 \nL 284.390303 33.857656 \nL 280.798893 33.060209 \nL 277.189674 32.780883 \nL 273.570761 33.02352 \nL 269.950272 33.787208 \nL 266.336296 35.06633 \nL 262.736788 36.850596 \nL 259.159529 39.125309 \nL 255.612042 41.871569 \nL 252.101534 45.066654 \nL 248.634845 48.684408 \nL 245.2184 52.69568 \nL 241.858164 57.068854 \nL 238.559614 61.770335 \nL 235.327706 66.765089 \nL 232.166855 72.017136 \nL 229.08094 77.490068 \nL 226.073279 83.147559 \nL 223.146652 88.95379 \nL 220.303296 94.873809 \nL 214.872788 106.922119 \nL 209.78969 119.043272 \nL 205.054826 131.01982 \nL 200.662932 142.670113 \nL 194.694612 159.227187 \nL 187.811576 179.103798 \nL 175.017119 216.388737 \nL 171.250895 226.695696 \nL 168.047652 234.848137 \nL 165.294958 241.208326 \nL 162.900722 246.114663 \nL 160.791329 249.864255 \nL 158.909076 252.707373 \nL 157.209476 254.848734 \nL 155.65875 256.452201 \nL 154.231602 257.646784 \nL 152.593534 258.715465 \nL 151.094243 259.446475 \nL 149.455391 260.022083 \nL 147.516188 260.469098 \nL 145.102978 260.778577 \nL 141.745576 260.951047 \nL 141.433612 260.962607 \nL 145.010788 260.965141 \nL 211.413476 260.773653 \nL 241.05994 260.504805 \nL 249.210594 260.257618 \nL 249.231041 260.245244 \nL 249.009856 260.215634 \nL 246.503234 260.169494 \nL 235.844167 260.234932 \nL 171.377621 260.848325 \nL 114.516473 261.0037 \nL 103.505164 261.022298 \nL 198.191846 260.857243 \nL 198.191846 260.857243 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe207a55be4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"283.587799pt\" version=\"1.1\" viewBox=\"0 0 292.988273 283.587799\" width=\"292.988273pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T22:24:18.038697</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 283.587799 \nL 292.988273 283.587799 \nL 292.988273 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 30.916434 208.880628 \nL 118.604822 135.033233 \nL 117.528082 28.708787 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.46424 218.857541 \nL 147.517341 143.436961 \nL 147.675308 36.35023 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 92.694834 229.057453 \nL 177.022148 152.012843 \nL 178.467018 44.155031 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.631367 239.487924 \nL 207.137631 160.766225 \nL 209.9241 52.128485 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 157.29805 250.156863 \nL 237.882948 169.702675 \nL 242.068359 60.276117 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 31.679898 208.237671 \nL 29.386237 210.169294 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(12.829713 232.152277)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 62.214137 218.200299 \nL 59.961197 220.174871 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.589772 242.340488)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 93.430365 228.385444 \nL 91.220551 230.404413 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(82.0445 252.757285)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 125.351688 238.800645 \nL 123.187537 240.865527 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(114.018809 263.410447)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 158.002268 249.453787 \nL 155.886459 251.566164 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(143.545717 274.308112)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 31.892962 87.683891 \nL 36.829773 199.703641 \nL 185.426821 247.639502 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.550093 71.149749 \nL 58.408133 181.616232 \nL 204.972214 227.58112 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 76.268388 55.300727 \nL 79.130219 164.246568 \nL 223.702133 208.359615 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.105015 40.095105 \nL 99.046009 147.552758 \nL 241.66657 189.923684 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 184.174807 247.235615 \nL 187.934076 248.448317 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −10 -->\n     <g transform=\"translate(187.712796 268.613238)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 203.738657 227.194256 \nL 207.44244 228.355823 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −5 -->\n     <g transform=\"translate(210.177167 248.258008)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 222.486599 207.988721 \nL 226.136204 209.10232 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(232.845141 228.752526)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 240.468631 189.56779 \nL 244.065347 190.636333 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 5 -->\n     <g transform=\"translate(250.567655 210.04467)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_12\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.30663 150.559821 \nL 114.89978 110.348259 \nL 26.086769 182.64309 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.349263 127.79137 \nL 114.646493 88.321793 \nL 24.963006 159.307425 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.411238 104.60056 \nL 114.388736 65.906532 \nL 23.81759 135.522114 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.493097 80.975526 \nL 114.126388 43.092091 \nL 22.649888 111.274033 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_13\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_14\">\n     <path d=\"M 256.110887 150.222178 \nL 259.700989 151.235918 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 5 -->\n     <g transform=\"translate(272.552057 155.601436)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 257.142115 127.459813 \nL 260.766486 128.455288 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 10 -->\n     <g transform=\"translate(270.579075 132.879136)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 258.192465 104.275374 \nL 261.851765 105.251726 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 15 -->\n     <g transform=\"translate(271.809689 109.736631)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 259.262474 80.65701 \nL 262.957382 81.613346 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(273.063273 86.162157)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_18\">\n    <path clip-path=\"url(#p6f913be9f3)\" d=\"M 142.475068 181.456516 \nL 142.364724 181.290887 \nL 142.119796 181.382037 \nL 142.126111 181.549011 \nL 142.365602 181.641701 \nL 142.697915 181.550357 \nL 142.768611 181.352451 \nL 142.594868 181.201973 \nL 142.214691 181.172231 \nL 141.890897 181.345345 \nL 141.859833 181.567685 \nL 142.062951 181.746951 \nL 142.482344 181.814015 \nL 142.924164 181.675997 \nL 143.110586 181.419167 \nL 143.036917 181.179616 \nL 142.737202 180.988658 \nL 142.223264 180.928765 \nL 141.700816 181.07917 \nL 141.418711 181.365154 \nL 141.411158 181.657518 \nL 141.628488 181.915479 \nL 142.089752 182.101101 \nL 142.727856 182.115578 \nL 143.317811 181.918255 \nL 143.662529 181.587797 \nL 143.725798 181.242715 \nL 143.56045 180.926921 \nL 143.153271 180.654084 \nL 142.518843 180.501719 \nL 141.764066 180.544563 \nL 141.093552 180.795552 \nL 140.675972 181.1758 \nL 140.543877 181.572534 \nL 140.646924 181.958939 \nL 140.975071 182.307426 \nL 141.556198 182.588739 \nL 142.346603 182.723132 \nL 143.227664 182.65265 \nL 144.017295 182.375878 \nL 144.567127 181.961901 \nL 144.83478 181.503288 \nL 144.856695 181.052932 \nL 144.652469 180.611507 \nL 144.209951 180.208243 \nL 143.513214 179.885208 \nL 142.58858 179.708711 \nL 141.543912 179.740105 \nL 140.560457 179.988529 \nL 139.775818 180.405883 \nL 139.266103 180.910757 \nL 139.019684 181.454668 \nL 139.018854 181.987406 \nL 139.236865 182.491034 \nL 139.68804 182.970261 \nL 140.407789 183.395248 \nL 141.36247 183.694668 \nL 142.499996 183.817732 \nL 143.694631 183.728485 \nL 144.838973 183.422619 \nL 145.765423 182.955291 \nL 146.429489 182.388981 \nL 146.825218 181.782063 \nL 146.977265 181.154957 \nL 146.897758 180.543194 \nL 146.592943 179.949732 \nL 146.03961 179.381155 \nL 145.227172 178.879078 \nL 144.164435 178.490511 \nL 142.884879 178.264674 \nL 141.504792 178.244829 \nL 140.112984 178.443051 \nL 138.851404 178.837616 \nL 137.789649 179.39108 \nL 136.974468 180.060085 \nL 136.449239 180.764421 \nL 136.174695 181.49233 \nL 136.136999 182.210294 \nL 136.32714 182.92823 \nL 136.74729 183.619656 \nL 137.431013 184.289547 \nL 138.344904 184.870498 \nL 139.521429 185.354527 \nL 140.945016 185.69366 \nL 142.502479 185.836685 \nL 144.121747 185.767775 \nL 145.724433 185.481244 \nL 147.164513 185.009392 \nL 148.446815 184.357833 \nL 149.462466 183.59093 \nL 150.196026 182.754403 \nL 150.65084 181.889982 \nL 150.845028 181.033396 \nL 150.807284 180.21332 \nL 150.550457 179.400964 \nL 150.07496 178.61738 \nL 149.336926 177.83964 \nL 148.372848 177.141972 \nL 147.128907 176.515505 \nL 145.602327 176.005382 \nL 143.90269 175.673838 \nL 142.084654 175.539304 \nL 140.208994 175.614017 \nL 138.340804 175.903355 \nL 136.547462 176.405379 \nL 134.978732 177.068637 \nL 133.664639 177.849633 \nL 132.55814 178.763507 \nL 131.742079 179.725776 \nL 131.201732 180.698617 \nL 130.911346 181.650521 \nL 130.840086 182.626861 \nL 130.996211 183.608954 \nL 131.383708 184.577333 \nL 132.00202 185.512121 \nL 132.845871 186.393423 \nL 133.988724 187.256187 \nL 135.360355 188.012278 \nL 137.047752 188.677365 \nL 138.930307 189.174217 \nL 140.964264 189.483829 \nL 143.100171 189.5917 \nL 145.284103 189.488439 \nL 147.459092 189.170229 \nL 149.566691 188.639143 \nL 151.548642 187.903263 \nL 153.242435 187.03976 \nL 154.732574 186.024577 \nL 155.904493 184.957861 \nL 156.777851 183.881278 \nL 157.424329 182.73925 \nL 157.805975 181.642855 \nL 157.971341 180.521568 \nL 157.913964 179.391123 \nL 157.63048 178.267542 \nL 157.120689 177.166921 \nL 156.38756 176.105232 \nL 155.348479 175.017154 \nL 154.06638 174.012384 \nL 152.557243 173.109217 \nL 150.701022 172.269761 \nL 148.634249 171.587317 \nL 146.391071 171.078913 \nL 144.009682 170.75885 \nL 141.531765 170.638376 \nL 139.00187 170.725406 \nL 136.466751 171.024273 \nL 133.974628 171.535551 \nL 131.574423 172.255908 \nL 129.47064 173.105684 \nL 127.52657 174.120496 \nL 125.779246 175.288408 \nL 124.37134 176.489581 \nL 123.186652 177.794792 \nL 122.31677 179.069233 \nL 121.67009 180.404457 \nL 121.260405 181.785858 \nL 121.103207 183.068608 \nL 121.157865 184.364221 \nL 121.428989 185.65981 \nL 121.919085 186.942106 \nL 122.628445 188.197583 \nL 123.555054 189.412597 \nL 124.819951 190.686129 \nL 126.33318 191.876365 \nL 128.082011 192.965962 \nL 130.050214 193.938359 \nL 132.424386 194.847289 \nL 135.006332 195.579944 \nL 137.761931 196.120202 \nL 140.653252 196.454545 \nL 143.639097 196.572388 \nL 146.675635 196.466374 \nL 149.717091 196.13262 \nL 152.716535 195.570912 \nL 155.626687 194.784843 \nL 158.175915 193.8735 \nL 160.57574 192.788489 \nL 162.792626 191.541129 \nL 164.795087 190.145313 \nL 166.405028 188.761224 \nL 167.794206 187.281646 \nL 168.945318 185.721575 \nL 169.765481 184.261862 \nL 170.371829 182.761964 \nL 170.75721 181.234225 \nL 170.916297 179.691043 \nL 170.845603 178.144722 \nL 170.543455 176.607348 \nL 170.009967 175.090709 \nL 169.246981 173.606282 \nL 168.258033 172.165232 \nL 167.048279 170.778455 \nL 165.453415 169.314196 \nL 163.605853 167.944387 \nL 161.519421 166.682931 \nL 159.210174 165.54326 \nL 156.696322 164.538163 \nL 153.719 163.602242 \nL 150.548315 162.858092 \nL 147.216503 162.318443 \nL 143.758129 161.994038 \nL 140.209796 161.893485 \nL 136.609837 162.023117 \nL 132.997997 162.386904 \nL 129.415115 162.986376 \nL 126.218056 163.735089 \nL 123.110803 164.675219 \nL 120.124901 165.802402 \nL 117.291679 167.110473 \nL 114.641984 168.591438 \nL 112.439058 170.064053 \nL 110.430413 171.660365 \nL 108.636415 173.37077 \nL 107.076409 175.184501 \nL 105.900848 176.873854 \nL 104.936283 178.626372 \nL 104.193517 180.432314 \nL 103.682233 182.281315 \nL 103.410914 184.162428 \nL 103.386715 186.064181 \nL 103.572801 187.735752 \nL 103.955388 189.405705 \nL 104.536412 191.065555 \nL 105.444596 192.939054 \nL 106.612933 194.774941 \nL 108.039343 196.559979 \nL 109.719861 198.280891 \nL 111.648579 199.924471 \nL 113.817622 201.477674 \nL 116.21712 202.927751 \nL 118.835236 204.262326 \nL 121.658171 205.469534 \nL 124.670235 206.538104 \nL 128.262968 207.561419 \nL 132.045217 208.38214 \nL 135.986769 208.987927 \nL 140.05506 209.368032 \nL 144.215428 209.513402 \nL 148.431421 209.416766 \nL 152.665127 209.072662 \nL 156.411765 208.556044 \nL 160.113649 207.839603 \nL 163.742565 206.923042 \nL 167.270206 205.807119 \nL 170.668373 204.493649 \nL 173.909162 202.985551 \nL 176.594181 201.509536 \nL 179.119763 199.89138 \nL 181.468492 198.135907 \nL 183.623627 196.249395 \nL 185.56927 194.240009 \nL 187.290586 192.118353 \nL 188.77408 189.898058 \nL 190.007902 187.596333 \nL 190.859257 185.574541 \nL 191.515175 183.524045 \nL 191.972384 181.4624 \nL 192.229271 179.408571 \nL 192.28599 177.382126 \nL 192.144479 175.402172 \nL 191.808431 173.486118 \nL 191.283083 171.648413 \nL 190.574942 169.89945 \nL 189.691438 168.244856 \nL 188.44958 166.434386 \nL 186.992324 164.746391 \nL 185.331473 163.167941 \nL 183.197432 161.477482 \nL 180.824267 159.885772 \nL 177.881945 158.191767 \nL 174.663513 156.590217 \nL 171.181354 155.086123 \nL 167.449165 153.696986 \nL 163.483336 152.447438 \nL 159.303606 151.363923 \nL 154.933113 150.470845 \nL 150.398037 149.788576 \nL 145.727097 149.332993 \nL 140.951025 149.115906 \nL 136.643459 149.130064 \nL 132.301895 149.343526 \nL 127.950515 149.759034 \nL 123.614038 150.378097 \nL 119.31761 151.201078 \nL 115.086711 152.227242 \nL 110.947073 153.45475 \nL 106.924567 154.880663 \nL 103.045124 156.500914 \nL 99.334606 158.310285 \nL 96.246687 160.043636 \nL 93.324812 161.911888 \nL 90.585757 163.909304 \nL 88.046001 166.029435 \nL 85.721609 168.265102 \nL 83.628168 170.608401 \nL 81.780707 173.050702 \nL 80.403823 175.215817 \nL 79.226781 177.44048 \nL 78.257708 179.717989 \nL 77.504207 182.041266 \nL 76.973315 184.402869 \nL 76.671455 186.794996 \nL 76.604374 189.209512 \nL 76.777092 191.637952 \nL 77.193848 194.07156 \nL 77.858037 196.501298 \nL 78.772179 198.917883 \nL 79.93783 201.31181 \nL 81.355584 203.673391 \nL 83.024992 205.992787 \nL 84.944521 208.260045 \nL 87.11152 210.465163 \nL 89.522195 212.598106 \nL 92.171569 214.648876 \nL 95.053478 216.607537 \nL 98.160538 218.464285 \nL 101.484134 220.209499 \nL 105.014462 221.833749 \nL 108.74048 223.327889 \nL 112.649971 224.683056 \nL 116.729545 225.890711 \nL 120.964665 226.942654 \nL 125.3397 227.831011 \nL 129.837959 228.548205 \nL 134.441733 229.08686 \nL 139.132325 229.439692 \nL 143.890089 229.599268 \nL 148.694442 229.557667 \nL 153.523843 229.305949 \nL 158.355748 228.833374 \nL 163.166455 228.126183 \nL 167.141152 227.344465 \nL 171.0683 226.372588 \nL 174.931361 225.191002 \nL 178.71234 223.773079 \nL 181.664719 222.444474 \nL 184.540467 220.916771 \nL 187.326807 219.158154 \nL 189.349209 217.663538 \nL 191.306225 215.995153 \nL 193.190026 214.127743 \nL 194.991775 212.031397 \nL 196.701403 209.670986 \nL 198.307376 207.005705 \nL 199.79651 203.988853 \nL 201.153641 200.567936 \nL 202.361406 196.685436 \nL 203.399976 192.280468 \nL 204.246855 187.291752 \nL 204.876803 181.662343 \nL 205.261932 175.346587 \nL 205.372077 168.319616 \nL 205.175584 160.589465 \nL 204.640635 152.211252 \nL 204.081033 146.320563 \nL 203.349753 140.245026 \nL 202.440279 134.053356 \nL 201.347968 127.830627 \nL 200.070569 121.677545 \nL 198.608755 115.708372 \nL 196.966609 110.047368 \nL 195.152018 104.823715 \nL 193.176895 100.165106 \nL 192.13397 98.085405 \nL 191.057203 96.190444 \nL 189.949186 94.492467 \nL 188.812719 93.002245 \nL 187.650788 91.728862 \nL 186.466542 90.679577 \nL 185.263266 89.859659 \nL 184.044344 89.272319 \nL 182.813229 88.918626 \nL 181.573411 88.79751 \nL 180.328376 88.905788 \nL 179.081575 89.238222 \nL 177.836388 89.78764 \nL 176.596092 90.54508 \nL 175.363838 91.499971 \nL 174.142607 92.640331 \nL 172.935205 93.952967 \nL 170.572083 97.037804 \nL 168.292616 100.634057 \nL 166.111199 104.617058 \nL 164.038416 108.864539 \nL 161.147134 115.484559 \nL 158.524715 122.111549 \nL 155.438038 130.523234 \nL 146.128884 156.500878 \nL 144.429606 160.386134 \nL 142.948987 163.252423 \nL 141.626459 165.342071 \nL 140.416939 166.858389 \nL 139.287845 167.962664 \nL 138.007368 168.91515 \nL 136.584299 169.701727 \nL 134.641435 170.509799 \nL 128.802066 172.783878 \nL 126.78301 173.867428 \nL 124.972569 175.098871 \nL 123.517154 176.359878 \nL 122.388196 177.609791 \nL 121.474774 178.937213 \nL 120.79362 180.328395 \nL 120.388179 181.635752 \nL 120.195768 182.971169 \nL 120.223563 184.321816 \nL 120.476694 185.674317 \nL 120.958114 187.014867 \nL 121.668477 188.329372 \nL 122.606039 189.603587 \nL 123.766594 190.823266 \nL 125.292656 192.085127 \nL 127.067856 193.245692 \nL 129.076022 194.287434 \nL 131.297387 195.19386 \nL 133.708739 195.949779 \nL 136.524835 196.58681 \nL 139.497195 197.013365 \nL 142.58386 197.217203 \nL 145.73985 197.189357 \nL 148.917875 196.924413 \nL 152.06914 196.420737 \nL 154.89204 195.751219 \nL 157.612904 194.887777 \nL 160.194497 193.83809 \nL 162.600907 192.612713 \nL 164.607874 191.357464 \nL 166.418122 189.979974 \nL 168.00984 188.493865 \nL 169.363491 186.914227 \nL 170.364128 185.426039 \nL 171.147607 183.887797 \nL 171.705277 182.312387 \nL 172.030408 180.712857 \nL 172.118202 179.102206 \nL 171.965788 177.49322 \nL 171.572169 175.898351 \nL 170.938191 174.329657 \nL 170.066462 172.79881 \nL 168.961307 171.317137 \nL 167.62871 169.895684 \nL 166.076265 168.54528 \nL 164.104687 167.141085 \nL 161.887862 165.851986 \nL 159.44289 164.691782 \nL 156.789068 163.673626 \nL 153.947797 162.809805 \nL 150.942445 162.11153 \nL 147.47717 161.546447 \nL 143.879692 161.204927 \nL 140.187957 161.09598 \nL 136.441714 161.226263 \nL 132.68217 161.599981 \nL 129.288493 162.152423 \nL 125.951221 162.906856 \nL 122.703069 163.860862 \nL 119.576808 165.010182 \nL 116.605033 166.348688 \nL 114.089116 167.708513 \nL 111.747338 169.207954 \nL 109.601997 170.838607 \nL 107.674567 172.590837 \nL 105.98552 174.45379 \nL 104.699857 176.192984 \nL 103.630372 178.000923 \nL 102.788671 179.867683 \nL 102.18525 181.782666 \nL 101.829384 183.734656 \nL 101.727343 185.463745 \nL 101.825343 187.203914 \nL 102.126882 188.946654 \nL 102.634516 190.683212 \nL 103.34977 192.404647 \nL 104.273119 194.101845 \nL 105.403934 195.765589 \nL 106.948018 197.614129 \nL 108.756229 199.392963 \nL 110.822007 201.088304 \nL 113.136733 202.686549 \nL 115.689693 204.174412 \nL 118.468098 205.539029 \nL 121.457117 206.768076 \nL 124.639921 207.84988 \nL 127.997768 208.773524 \nL 131.510082 209.528955 \nL 135.154595 210.107062 \nL 138.907465 210.49976 \nL 142.743443 210.700038 \nL 146.636036 210.702004 \nL 150.557706 210.500887 \nL 154.480045 210.093038 \nL 158.37398 209.475888 \nL 162.209971 208.647876 \nL 165.958169 207.608397 \nL 169.588656 206.357719 \nL 173.071578 204.896935 \nL 175.974782 203.447918 \nL 178.722731 201.841489 \nL 181.296166 200.080406 \nL 183.676299 198.168574 \nL 185.844924 196.111539 \nL 187.522189 194.238707 \nL 189.020929 192.271791 \nL 190.331536 190.219849 \nL 191.445361 188.094639 \nL 192.354914 185.911008 \nL 193.054186 183.687133 \nL 193.538902 181.44444 \nL 193.806806 179.207132 \nL 193.857891 177.001225 \nL 193.694524 174.853075 \nL 193.321455 172.787521 \nL 192.745636 170.825815 \nL 191.975874 168.983698 \nL 191.022326 167.269938 \nL 189.895848 165.68566 \nL 188.60734 164.224657 \nL 186.91297 162.659348 \nL 185.026455 161.218924 \nL 182.650151 159.68957 \nL 179.711515 158.074515 \nL 176.132254 156.372487 \nL 172.235638 154.757182 \nL 168.03565 153.248499 \nL 163.550348 151.885508 \nL 159.289447 150.820384 \nL 154.838897 149.93957 \nL 150.224363 149.267651 \nL 145.474496 148.823267 \nL 141.163758 148.630212 \nL 136.793423 148.634237 \nL 132.387257 148.839975 \nL 127.969713 149.250455 \nL 123.565793 149.867363 \nL 119.200951 150.691176 \nL 114.901008 151.721245 \nL 110.692021 152.955788 \nL 106.600218 154.391912 \nL 102.651891 156.025588 \nL 98.873287 157.851618 \nL 95.72674 159.602199 \nL 92.74742 161.490158 \nL 89.952379 163.509744 \nL 87.358365 165.654479 \nL 84.981738 167.917151 \nL 82.838398 170.289813 \nL 80.943643 172.763766 \nL 79.528539 174.957784 \nL 78.315618 177.212927 \nL 77.313193 179.522432 \nL 76.529066 181.87915 \nL 75.970458 184.275557 \nL 75.643982 186.703766 \nL 75.555562 189.155538 \nL 75.710399 191.622313 \nL 76.112898 194.095211 \nL 76.766616 196.565071 \nL 77.674217 199.022468 \nL 78.837418 201.457753 \nL 80.256926 203.861085 \nL 81.932404 206.222462 \nL 83.862409 208.531767 \nL 86.04436 210.778827 \nL 88.474536 212.953404 \nL 91.147991 215.045315 \nL 94.058569 217.044432 \nL 97.198874 218.940748 \nL 100.560253 220.724436 \nL 104.132834 222.385864 \nL 107.905484 223.915676 \nL 111.865863 225.304801 \nL 116.00042 226.544501 \nL 120.29445 227.626354 \nL 124.73211 228.542278 \nL 129.296468 229.284462 \nL 133.969528 229.845321 \nL 138.732313 230.217296 \nL 143.564821 230.392663 \nL 148.446112 230.363123 \nL 153.354223 230.11925 \nL 158.266127 229.649599 \nL 163.157599 228.939402 \nL 167.199697 228.149556 \nL 171.193876 227.16302 \nL 175.123059 225.958316 \nL 178.968557 224.505962 \nL 181.970786 223.138917 \nL 184.894179 221.559904 \nL 187.725187 219.733059 \nL 189.778552 218.172967 \nL 191.763771 216.423648 \nL 193.672383 214.456242 \nL 195.494747 212.236444 \nL 197.219822 209.723831 \nL 198.834885 206.871328 \nL 200.325294 203.624927 \nL 201.674132 199.923904 \nL 202.861914 195.70178 \nL 203.866298 190.888489 \nL 204.661856 185.414214 \nL 205.22001 179.215478 \nL 205.509167 172.244051 \nL 205.495263 164.479075 \nL 205.142787 155.942326 \nL 204.702259 149.85984 \nL 204.085744 143.511955 \nL 203.284433 136.958891 \nL 202.291065 130.279686 \nL 201.100531 123.572583 \nL 199.710481 116.954092 \nL 198.121987 110.556402 \nL 196.340092 104.52287 \nL 194.374265 99.001654 \nL 192.238628 94.137838 \nL 191.112816 91.99473 \nL 189.951935 90.064394 \nL 188.758996 88.360062 \nL 187.537239 86.89312 \nL 186.290112 85.67288 \nL 185.021228 84.706385 \nL 183.734335 83.998298 \nL 182.433271 83.55077 \nL 181.121935 83.363451 \nL 179.804232 83.433472 \nL 178.484042 83.75553 \nL 177.165172 84.321993 \nL 175.851316 85.123081 \nL 174.546033 86.147061 \nL 173.252695 87.380495 \nL 171.974469 88.808483 \nL 170.714297 90.414951 \nL 168.258605 94.094936 \nL 165.903931 98.27926 \nL 163.664203 102.825626 \nL 161.549026 107.598009 \nL 158.620979 114.913193 \nL 155.989093 122.111506 \nL 152.229961 133.186595 \nL 145.003689 154.907967 \nL 142.911087 160.323948 \nL 141.445448 163.551081 \nL 140.159053 165.904711 \nL 139.001427 167.615317 \nL 137.731825 169.072034 \nL 136.553003 170.094605 \nL 135.077319 171.053162 \nL 133.005266 172.073513 \nL 128.834917 174.06391 \nL 126.969463 175.24012 \nL 125.459423 176.459631 \nL 124.282426 177.688022 \nL 123.336687 179.002489 \nL 122.690104 180.269803 \nL 122.268125 181.58285 \nL 122.081823 182.926916 \nL 122.124218 184.162577 \nL 122.372931 185.398709 \nL 122.830405 186.622677 \nL 123.575087 187.939616 \nL 124.570121 189.208959 \nL 125.809598 190.413469 \nL 127.284251 191.536203 \nL 128.981462 192.560752 \nL 131.067983 193.548132 \nL 133.375319 194.381228 \nL 135.874158 195.043017 \nL 138.531238 195.518685 \nL 141.309796 195.79596 \nL 144.170094 195.865417 \nL 147.070024 195.72076 \nL 149.965796 195.359026 \nL 152.812682 194.780759 \nL 155.565765 193.990135 \nL 158.180777 192.994995 \nL 160.41996 191.912869 \nL 162.475748 190.67997 \nL 164.318844 189.310122 \nL 165.787248 187.959382 \nL 167.039713 186.522022 \nL 168.060454 185.012485 \nL 168.83608 183.44603 \nL 169.315548 182.000616 \nL 169.581548 180.533623 \nL 169.62971 179.056801 \nL 169.457408 177.581808 \nL 169.063734 176.120118 \nL 168.449475 174.682964 \nL 167.617062 173.28132 \nL 166.570543 171.925908 \nL 165.16352 170.486854 \nL 163.509061 169.131835 \nL 161.619347 167.874497 \nL 159.508776 166.728005 \nL 156.95181 165.609895 \nL 154.172415 164.656815 \nL 151.198161 163.883099 \nL 148.059191 163.30147 \nL 144.787964 162.922819 \nL 141.41899 162.756039 \nL 137.988542 162.807892 \nL 134.534342 163.0829 \nL 131.095266 163.583258 \nL 127.710994 164.308772 \nL 124.421671 165.256792 \nL 121.547649 166.307428 \nL 118.815421 167.532038 \nL 116.254592 168.923184 \nL 113.894069 170.471676 \nL 111.963986 171.990851 \nL 110.238307 173.619477 \nL 108.735539 175.347276 \nL 107.473008 177.162888 \nL 106.565378 178.840478 \nL 105.870397 180.568294 \nL 105.397194 182.336376 \nL 105.153715 184.134223 \nL 105.146644 185.950831 \nL 105.381284 187.774756 \nL 105.86148 189.594165 \nL 106.589512 191.396913 \nL 107.566037 193.170604 \nL 108.789989 194.902693 \nL 110.258538 196.580547 \nL 111.967043 198.191554 \nL 113.908997 199.72322 \nL 116.076026 201.16326 \nL 118.45787 202.499712 \nL 121.379067 203.865045 \nL 124.536752 205.069045 \nL 127.908089 206.097108 \nL 131.46756 206.935822 \nL 135.187134 207.57314 \nL 139.036499 207.998507 \nL 142.983293 208.202996 \nL 146.993413 208.179388 \nL 151.0313 207.922262 \nL 155.060287 207.428006 \nL 159.042923 206.69485 \nL 162.513508 205.842618 \nL 165.890888 204.802943 \nL 169.14855 203.578286 \nL 172.260351 202.172353 \nL 175.200693 200.590214 \nL 177.944766 198.838518 \nL 180.166093 197.173368 \nL 182.203775 195.392119 \nL 184.043598 193.503652 \nL 185.67245 191.518847 \nL 187.078566 189.450907 \nL 188.251745 187.315577 \nL 189.183645 185.131214 \nL 189.868021 182.918555 \nL 190.300956 180.700131 \nL 190.481039 178.499263 \nL 190.409377 176.33867 \nL 190.089512 174.238841 \nL 189.527132 172.216422 \nL 188.729643 170.282928 \nL 187.705619 168.444084 \nL 186.464188 166.700007 \nL 185.014476 165.04625 \nL 183.365178 163.475528 \nL 181.246098 161.771799 \nL 178.887558 160.15614 \nL 175.960317 158.437839 \nL 172.756337 156.827272 \nL 169.290233 155.336232 \nL 165.578542 153.983144 \nL 161.64042 152.789462 \nL 157.497885 151.776464 \nL 153.175678 150.963136 \nL 148.700966 150.365207 \nL 144.102929 149.995048 \nL 139.412401 149.862017 \nL 134.66157 149.972909 \nL 129.883704 150.332344 \nL 125.641628 150.862722 \nL 121.429665 151.592357 \nL 117.272656 152.520893 \nL 113.195704 153.646903 \nL 109.224078 154.967876 \nL 105.383139 156.480209 \nL 101.698206 158.179181 \nL 98.194478 160.058934 \nL 95.296945 161.846522 \nL 92.573693 163.761721 \nL 90.040875 165.798388 \nL 87.714281 167.949678 \nL 85.609224 170.208032 \nL 83.740489 172.565184 \nL 82.122219 175.01216 \nL 80.944665 177.173743 \nL 79.968951 179.387726 \nL 79.20253 181.647237 \nL 78.652314 183.945063 \nL 78.324621 186.273638 \nL 78.22511 188.625066 \nL 78.358735 190.991142 \nL 78.72969 193.363364 \nL 79.341366 195.732969 \nL 80.196296 198.090943 \nL 81.296106 200.428062 \nL 82.641456 202.73492 \nL 84.232013 205.001975 \nL 86.066408 207.219565 \nL 88.142192 209.377962 \nL 90.455798 211.467427 \nL 93.00253 213.478235 \nL 95.776529 215.400738 \nL 98.770774 217.225395 \nL 101.977061 218.942832 \nL 105.386002 220.54389 \nL 108.987044 222.019655 \nL 112.76848 223.361502 \nL 117.390965 224.746665 \nL 122.219182 225.925643 \nL 127.228883 226.886441 \nL 132.393958 227.617591 \nL 137.686488 228.108049 \nL 142.301991 228.328552 \nL 146.969804 228.357012 \nL 151.669431 228.185679 \nL 156.379479 227.805614 \nL 161.077558 227.205845 \nL 165.740144 226.372117 \nL 169.580598 225.484848 \nL 173.363766 224.406583 \nL 177.073147 223.116879 \nL 180.690742 221.588061 \nL 183.505351 220.168001 \nL 186.237011 218.545904 \nL 188.872831 216.689726 \nL 190.778061 215.11999 \nL 192.614193 213.375263 \nL 194.373383 211.431106 \nL 196.046794 209.25902 \nL 197.624402 206.826088 \nL 199.094842 204.094836 \nL 200.445179 201.023321 \nL 201.660705 197.565686 \nL 202.724775 193.673362 \nL 203.618613 189.297161 \nL 204.321277 184.39062 \nL 204.809697 178.914845 \nL 205.058911 172.845154 \nL 205.042605 166.179584 \nL 204.734027 158.949025 \nL 204.107363 151.228165 \nL 203.139661 143.145774 \nL 202.29606 137.647897 \nL 201.289569 132.144398 \nL 200.118917 126.71889 \nL 198.785248 121.464886 \nL 197.292506 116.48296 \nL 195.647691 111.876836 \nL 193.861016 107.748566 \nL 191.945907 104.193138 \nL 190.945224 102.656613 \nL 189.918824 101.2929 \nL 188.869174 100.10946 \nL 187.798872 99.112362 \nL 186.710632 98.306173 \nL 185.607251 97.693897 \nL 184.491591 97.2769 \nL 183.366552 97.054912 \nL 182.235036 97.026023 \nL 181.099934 97.186734 \nL 179.964091 97.532008 \nL 178.830285 98.055398 \nL 177.701204 98.749122 \nL 176.579414 99.604233 \nL 175.46736 100.610756 \nL 173.281437 103.034051 \nL 171.159711 105.925236 \nL 169.115551 109.185074 \nL 167.159289 112.714053 \nL 164.404993 118.305593 \nL 161.87751 124.003032 \nL 158.861036 131.371065 \nL 149.39886 155.126461 \nL 147.59406 158.822853 \nL 145.997709 161.572337 \nL 144.55246 163.583372 \nL 143.214677 165.038719 \nL 141.952243 166.088341 \nL 140.505007 166.976141 \nL 138.877632 167.684952 \nL 136.623751 168.379459 \nL 129.603304 170.347295 \nL 127.065257 171.366692 \nL 124.888704 172.474089 \nL 122.90683 173.736842 \nL 121.28952 175.021479 \nL 119.88797 176.415981 \nL 118.820073 177.76773 \nL 117.964609 179.18776 \nL 117.335403 180.663625 \nL 116.944448 182.181921 \nL 116.804564 183.572901 \nL 116.871479 184.975807 \nL 117.149348 186.379326 \nL 117.640669 187.771814 \nL 118.346197 189.141391 \nL 119.264876 190.476035 \nL 120.531978 191.903336 \nL 122.051745 193.256189 \nL 123.814407 194.51846 \nL 125.80723 195.674517 \nL 128.014561 196.709428 \nL 130.668221 197.691193 \nL 133.530584 198.492308 \nL 136.56954 199.097589 \nL 139.749626 199.494077 \nL 143.032463 199.671302 \nL 146.37724 199.621527 \nL 149.74129 199.339958 \nL 153.080688 198.824915 \nL 156.350897 198.077978 \nL 159.226348 197.201815 \nL 161.975008 196.144244 \nL 164.564984 194.913838 \nL 166.965797 193.521555 \nL 169.148821 191.980702 \nL 170.905488 190.479721 \nL 172.446945 188.883759 \nL 173.757732 187.206803 \nL 174.824504 185.463811 \nL 175.636159 183.670405 \nL 176.136318 182.046829 \nL 176.423354 180.407177 \nL 176.494133 178.762367 \nL 176.346967 177.122901 \nL 175.981523 175.498743 \nL 175.39877 173.899284 \nL 174.600905 172.333364 \nL 173.591274 170.809373 \nL 172.20789 169.155042 \nL 170.570069 167.575255 \nL 168.687372 166.081222 \nL 166.571007 164.684223 \nL 164.233808 163.395579 \nL 161.690224 162.226526 \nL 158.64155 161.081105 \nL 155.382192 160.110979 \nL 151.938634 159.329121 \nL 148.339404 158.747022 \nL 144.614893 158.374484 \nL 140.797139 158.219516 \nL 136.919605 158.288259 \nL 133.016947 158.584955 \nL 129.124797 159.11191 \nL 125.279523 159.869455 \nL 121.517998 160.855913 \nL 118.234904 161.936416 \nL 115.076774 163.195201 \nL 112.070498 164.626732 \nL 109.242611 166.224071 \nL 106.619123 167.978874 \nL 104.479199 169.663035 \nL 102.537932 171.456134 \nL 100.811782 173.349508 \nL 99.316389 175.333636 \nL 98.066437 177.398151 \nL 97.184794 179.26177 \nL 96.509858 181.170398 \nL 96.0492 183.115604 \nL 95.809535 185.088544 \nL 95.796658 187.079988 \nL 96.015357 189.080343 \nL 96.469368 191.079706 \nL 97.161296 193.067896 \nL 98.092552 195.034495 \nL 99.2633 196.968913 \nL 100.672413 198.860423 \nL 102.317398 200.698237 \nL 104.194392 202.471565 \nL 106.298117 204.169668 \nL 108.621856 205.78194 \nL 111.157451 207.297964 \nL 114.302304 208.899708 \nL 117.694654 210.347897 \nL 121.31549 211.628626 \nL 125.143479 212.728821 \nL 129.15509 213.636331 \nL 133.324707 214.340031 \nL 137.624786 214.829881 \nL 142.02602 215.09695 \nL 146.497532 215.133409 \nL 151.00708 214.932447 \nL 155.52121 214.48812 \nL 159.447783 213.895507 \nL 163.327892 213.109118 \nL 167.137501 212.125522 \nL 170.852147 210.940924 \nL 174.447003 209.550839 \nL 177.896805 207.949738 \nL 180.718827 206.40425 \nL 183.39883 204.693496 \nL 185.919908 202.811484 \nL 188.264745 200.751688 \nL 190.071338 198.894664 \nL 191.732721 196.906339 \nL 193.238218 194.784464 \nL 194.577099 192.528663 \nL 195.738672 190.141454 \nL 196.712542 187.629498 \nL 197.488895 185.004958 \nL 198.058908 182.286861 \nL 198.415256 179.502224 \nL 198.552698 176.686652 \nL 198.468696 173.884099 \nL 198.16403 171.145463 \nL 197.643285 168.525846 \nL 196.915138 166.08053 \nL 195.992313 163.859998 \nL 194.891197 161.904709 \nL 193.894792 160.549369 \nL 192.807278 159.385729 \nL 191.639656 158.411149 \nL 190.083912 157.442743 \nL 188.439562 156.719623 \nL 186.723712 156.196342 \nL 184.226854 155.701054 \nL 180.129796 155.180092 \nL 174.643524 154.437968 \nL 169.670158 153.513336 \nL 154.947538 150.579869 \nL 149.926533 149.905444 \nL 145.272709 149.502952 \nL 140.519804 149.322463 \nL 135.698678 149.380503 \nL 130.842176 149.686772 \nL 126.523213 150.17173 \nL 122.227955 150.858694 \nL 117.981512 151.747893 \nL 113.809282 152.838307 \nL 109.73689 154.127763 \nL 105.790082 155.612946 \nL 101.99461 157.289411 \nL 98.376115 159.15155 \nL 95.375108 160.927939 \nL 92.545899 162.836032 \nL 89.905035 164.869834 \nL 87.468715 167.022634 \nL 85.252706 169.287002 \nL 83.272244 171.654779 \nL 81.541977 174.117089 \nL 80.268602 176.295624 \nL 79.197575 178.530107 \nL 78.336721 180.813704 \nL 77.693321 183.139212 \nL 77.274062 185.499064 \nL 77.084988 187.885357 \nL 77.131458 190.289853 \nL 77.418076 192.70401 \nL 77.948642 195.118999 \nL 78.7261 197.525727 \nL 79.752496 199.914873 \nL 81.028913 202.276916 \nL 82.555425 204.602171 \nL 84.331063 206.880819 \nL 86.35378 209.102961 \nL 88.620395 211.258654 \nL 91.126579 213.337961 \nL 93.866818 215.330998 \nL 96.834422 217.227964 \nL 100.021481 219.019218 \nL 103.418881 220.695313 \nL 107.016308 222.247031 \nL 110.802248 223.665446 \nL 114.764031 224.941923 \nL 118.887838 226.068167 \nL 123.883741 227.181647 \nL 129.054269 228.067719 \nL 133.604384 228.63739 \nL 138.24432 229.024265 \nL 142.95479 229.221097 \nL 147.715603 229.220274 \nL 152.505622 229.013357 \nL 157.302751 228.590373 \nL 162.083793 227.938805 \nL 166.824296 227.042013 \nL 170.724995 226.091032 \nL 174.563247 224.935652 \nL 178.321513 223.551047 \nL 181.25757 222.255903 \nL 184.119041 220.769645 \nL 186.893615 219.062838 \nL 189.567342 217.097871 \nL 191.496885 215.426425 \nL 193.352986 213.558519 \nL 195.126909 211.465091 \nL 196.808736 209.112142 \nL 198.387137 206.460338 \nL 199.84916 203.464847 \nL 201.17998 200.07554 \nL 202.362638 196.237803 \nL 203.37785 191.894238 \nL 204.203817 186.987602 \nL 204.816164 181.4654 \nL 205.188067 175.286555 \nL 205.290635 168.430393 \nL 205.093696 160.908002 \nL 204.567078 152.775356 \nL 203.682563 144.146838 \nL 202.8821 138.206902 \nL 201.906692 132.200206 \nL 200.753143 126.214981 \nL 199.42079 120.353061 \nL 197.911968 114.727234 \nL 196.232414 109.457251 \nL 194.391564 104.664469 \nL 192.402659 100.465523 \nL 191.357846 98.622204 \nL 190.282653 96.965438 \nL 189.179726 95.505417 \nL 188.051884 94.250795 \nL 186.902106 93.208528 \nL 185.733496 92.383753 \nL 184.549255 91.779691 \nL 183.352653 91.397597 \nL 182.147001 91.236739 \nL 180.935608 91.294406 \nL 179.721755 91.565991 \nL 178.508662 92.045069 \nL 177.299463 92.72353 \nL 176.097171 93.591737 \nL 174.904655 94.638693 \nL 173.724617 95.852259 \nL 171.411844 98.726185 \nL 169.176523 102.101458 \nL 167.032841 105.861206 \nL 164.991407 109.889975 \nL 162.135716 116.20212 \nL 159.536411 122.556332 \nL 156.464223 130.668874 \nL 147.091788 156.053669 \nL 145.359029 159.895736 \nL 143.842676 162.736987 \nL 142.482902 164.810277 \nL 141.234889 166.313446 \nL 140.066074 167.404975 \nL 138.736176 168.341096 \nL 137.252783 169.106731 \nL 135.218321 169.882946 \nL 129.03191 172.068915 \nL 126.860518 173.134068 \nL 125.035266 174.258955 \nL 123.412502 175.514169 \nL 122.127217 176.769237 \nL 121.056475 178.112145 \nL 120.218858 179.529308 \nL 119.673535 180.869422 \nL 119.345011 182.246231 \nL 119.241956 183.646744 \nL 119.371005 185.05733 \nL 119.736596 186.463834 \nL 120.34084 187.851709 \nL 121.183404 189.206161 \nL 122.26142 190.512296 \nL 123.569412 191.755288 \nL 125.099258 192.920544 \nL 127.025399 194.095631 \nL 129.1889 195.141477 \nL 131.568036 196.041198 \nL 134.137528 196.779362 \nL 136.868783 197.342251 \nL 139.730214 197.718136 \nL 142.687614 197.897503 \nL 145.704584 197.873283 \nL 148.743029 197.641041 \nL 151.763693 197.199121 \nL 154.72674 196.54878 \nL 157.592337 195.694268 \nL 160.321293 194.642887 \nL 162.875668 193.404984 \nL 165.01592 192.128936 \nL 166.956683 190.721837 \nL 168.67463 189.19763 \nL 170.148772 187.571901 \nL 171.251807 186.035945 \nL 172.13102 184.444594 \nL 172.776939 182.811402 \nL 173.182119 181.150129 \nL 173.341149 179.47449 \nL 173.273087 177.983861 \nL 173.006775 176.501701 \nL 172.470441 174.855439 \nL 171.685376 173.243289 \nL 170.655321 171.676974 \nL 169.385745 170.167859 \nL 167.883767 168.727067 \nL 166.15813 167.365547 \nL 163.991068 165.958837 \nL 161.577114 164.67783 \nL 158.935018 163.536562 \nL 156.085767 162.548351 \nL 153.052453 161.725547 \nL 149.860151 161.07929 \nL 146.53575 160.61932 \nL 143.107767 160.353851 \nL 139.606141 160.289467 \nL 136.062046 160.431059 \nL 132.507664 160.781777 \nL 128.975997 161.34297 \nL 125.500596 162.114159 \nL 122.115382 163.092991 \nL 118.854368 164.275211 \nL 115.75142 165.654636 \nL 113.121561 167.05804 \nL 110.67072 168.607315 \nL 108.422161 170.293875 \nL 106.398305 172.107844 \nL 104.805299 173.818242 \nL 103.420999 175.611864 \nL 102.258769 177.479295 \nL 101.330955 179.410379 \nL 100.648801 181.394264 \nL 100.261332 183.164431 \nL 100.075477 184.958099 \nL 100.096221 186.766823 \nL 100.327648 188.581852 \nL 100.772848 190.394165 \nL 101.433883 192.194508 \nL 102.311736 193.97344 \nL 103.406248 195.721379 \nL 104.716089 197.428649 \nL 106.238719 199.085533 \nL 108.234511 200.904979 \nL 110.495567 202.631596 \nL 113.012028 204.251278 \nL 115.771847 205.750281 \nL 118.760807 207.11535 \nL 121.962557 208.333831 \nL 125.358671 209.3938 \nL 128.928749 210.28415 \nL 132.650506 210.994713 \nL 136.499931 211.516314 \nL 140.451414 211.840861 \nL 144.47792 211.961367 \nL 148.551191 211.871964 \nL 152.641903 211.567895 \nL 156.719895 211.045449 \nL 160.754335 210.301864 \nL 164.713927 209.335206 \nL 168.567078 208.144212 \nL 171.826309 206.91748 \nL 174.958461 205.518199 \nL 177.942315 203.946392 \nL 180.756761 202.202426 \nL 183.380907 200.28727 \nL 185.463065 198.510949 \nL 187.377519 196.612635 \nL 189.111874 194.596127 \nL 190.654205 192.467355 \nL 191.993278 190.235161 \nL 193.118791 187.912116 \nL 194.021734 185.515324 \nL 194.694776 183.066989 \nL 195.132719 180.594581 \nL 195.33294 178.130346 \nL 195.295798 175.710007 \nL 195.024892 173.370557 \nL 194.527152 171.147313 \nL 193.812606 169.070517 \nL 192.893889 167.162096 \nL 191.785457 165.433175 \nL 190.502604 163.882936 \nL 189.060422 162.499138 \nL 187.472815 161.260283 \nL 185.452635 159.961484 \nL 182.940199 158.613906 \nL 179.515315 157.047354 \nL 175.008326 155.246236 \nL 170.081132 153.508533 \nL 165.208774 152.020069 \nL 160.502566 150.81669 \nL 156.062479 149.902537 \nL 151.452609 149.182728 \nL 146.700085 148.682082 \nL 141.834986 148.418125 \nL 137.441966 148.391861 \nL 133.00915 148.567521 \nL 128.560995 148.948681 \nL 124.122564 149.537364 \nL 119.719396 150.334312 \nL 115.377405 151.339071 \nL 111.122781 152.550053 \nL 106.981899 153.964533 \nL 102.981217 155.578648 \nL 99.147165 157.387363 \nL 95.949734 159.124766 \nL 92.917472 161.001494 \nL 90.067608 163.011902 \nL 87.417094 165.149618 \nL 84.982454 167.407512 \nL 82.779804 169.777731 \nL 80.82468 172.251662 \nL 79.357182 174.447648 \nL 78.091428 176.706639 \nL 77.035925 179.021915 \nL 76.198638 181.386359 \nL 75.586988 183.792475 \nL 75.207791 186.232401 \nL 75.06717 188.697914 \nL 75.170544 191.180455 \nL 75.522547 193.671149 \nL 76.126962 196.160819 \nL 76.986686 198.640026 \nL 78.103665 201.099096 \nL 79.478852 203.528143 \nL 81.112141 205.91711 \nL 83.002336 208.255827 \nL 85.147099 210.534034 \nL 87.542942 212.741424 \nL 90.185145 214.86771 \nL 93.067763 216.902667 \nL 96.183624 218.836166 \nL 99.524283 220.658246 \nL 103.080046 222.359146 \nL 106.839964 223.929358 \nL 110.79184 225.359673 \nL 114.922281 226.641178 \nL 119.216695 227.765311 \nL 123.659323 228.723835 \nL 128.233321 229.508796 \nL 132.920765 230.112455 \nL 137.702685 230.527159 \nL 142.559125 230.745086 \nL 147.469125 230.757908 \nL 152.41071 230.556228 \nL 157.360848 230.12871 \nL 162.295266 229.460841 \nL 166.376772 228.706701 \nL 170.413639 227.756639 \nL 174.388821 226.589632 \nL 178.283699 225.17682 \nL 181.327918 223.843232 \nL 184.295594 222.299765 \nL 187.173273 220.511011 \nL 189.263276 218.981406 \nL 191.286602 217.264361 \nL 193.234859 215.331055 \nL 195.098462 213.147081 \nL 196.866433 210.671698 \nL 198.526129 207.857191 \nL 200.06292 204.648446 \nL 201.45989 200.982989 \nL 202.697477 196.791742 \nL 203.42301 193.669151 \nL 204.060304 190.257787 \nL 204.601246 186.535772 \nL 205.037041 182.482617 \nL 205.358252 178.080474 \nL 205.554821 173.315648 \nL 205.616174 168.180469 \nL 205.531356 162.67546 \nL 205.28923 156.81178 \nL 204.878774 150.613801 \nL 204.289414 144.121702 \nL 203.511521 137.3938 \nL 202.536909 130.508301 \nL 201.359496 123.564095 \nL 199.975974 116.680164 \nL 198.386493 109.993272 \nL 196.595297 103.653562 \nL 194.611241 97.81814 \nL 192.448118 92.642749 \nL 191.30508 90.348513 \nL 190.12469 88.272189 \nL 188.910019 86.428519 \nL 187.664399 84.830353 \nL 186.391381 83.488379 \nL 185.094715 82.410922 \nL 183.778304 81.603779 \nL 182.446164 81.070069 \nL 181.102381 80.810226 \nL 179.751073 80.821957 \nL 178.396331 81.100316 \nL 177.042186 81.637812 \nL 175.69256 82.424606 \nL 174.35123 83.448683 \nL 173.021794 84.696138 \nL 171.707631 86.151418 \nL 170.411881 87.797671 \nL 167.886856 91.59085 \nL 165.466346 95.926022 \nL 163.165308 100.651672 \nL 160.994083 105.622533 \nL 157.992743 113.252877 \nL 155.30085 120.766122 \nL 152.173916 130.138034 \nL 143.084485 157.963281 \nL 141.494426 161.978458 \nL 140.129771 164.920453 \nL 138.927851 167.060756 \nL 137.636901 168.876581 \nL 136.46051 170.137057 \nL 135.186854 171.168905 \nL 133.657375 172.1097 \nL 127.2808 175.681498 \nL 125.87074 176.87922 \nL 124.782845 178.07917 \nL 123.921611 179.358184 \nL 123.347251 180.587333 \nL 122.991399 181.857188 \nL 122.864131 183.153446 \nL 122.973037 184.460937 \nL 123.323012 185.763839 \nL 123.916083 187.045866 \nL 124.751262 188.290478 \nL 125.824441 189.481076 \nL 127.12832 190.601245 \nL 128.801402 191.724106 \nL 130.718463 192.724177 \nL 132.857106 193.582809 \nL 135.190731 194.282988 \nL 137.688835 194.809689 \nL 140.317394 195.150206 \nL 143.039349 195.294457 \nL 145.815146 195.235254 \nL 148.603365 194.968534 \nL 151.361413 194.493529 \nL 154.046234 193.812902 \nL 156.615074 192.932803 \nL 159.026259 191.862873 \nL 161.063941 190.726422 \nL 162.906821 189.453831 \nL 164.528339 188.059654 \nL 165.790194 186.70051 \nL 166.833519 185.267926 \nL 167.644752 183.776241 \nL 168.212708 182.240402 \nL 168.508606 180.833044 \nL 168.595749 179.413579 \nL 168.471197 177.99324 \nL 168.133671 176.583132 \nL 167.58353 175.194184 \nL 166.822742 173.837105 \nL 165.734715 172.379358 \nL 164.39811 170.987935 \nL 162.822287 169.67651 \nL 161.018815 168.458362 \nL 159.001414 167.34628 \nL 156.554079 166.260034 \nL 153.890775 165.332071 \nL 151.037963 164.57627 \nL 148.024592 164.004962 \nL 144.881865 163.628732 \nL 141.64299 163.456244 \nL 138.342888 163.494117 \nL 135.017911 163.746815 \nL 131.705529 164.216557 \nL 128.443999 164.903257 \nL 125.27204 165.80445 \nL 122.228465 166.915261 \nL 119.605442 168.100868 \nL 117.148908 169.446406 \nL 114.886658 170.942903 \nL 112.84553 172.579712 \nL 111.218755 174.162665 \nL 109.809441 175.839222 \nL 108.634022 177.598253 \nL 107.797796 179.221297 \nL 107.167895 180.890802 \nL 106.752855 182.597077 \nL 106.560057 184.329919 \nL 106.59563 186.078658 \nL 106.864374 187.832216 \nL 107.369656 189.579162 \nL 108.113326 191.307778 \nL 109.095668 193.006138 \nL 110.315293 194.662177 \nL 111.769135 196.26378 \nL 113.45236 197.798874 \nL 115.358362 199.255516 \nL 117.478737 200.621998 \nL 120.107659 202.037353 \nL 122.977782 203.30864 \nL 126.069161 204.421166 \nL 129.35919 205.361276 \nL 132.822752 206.116511 \nL 136.432399 206.675764 \nL 140.158575 207.029411 \nL 143.969854 207.16944 \nL 147.833227 207.089534 \nL 151.714413 206.785138 \nL 155.578156 206.25352 \nL 159.388603 205.493806 \nL 163.109611 204.507 \nL 166.312932 203.441518 \nL 169.392052 202.202289 \nL 172.322403 200.794029 \nL 175.080097 199.222928 \nL 177.64217 197.496848 \nL 179.986826 195.625602 \nL 181.843991 193.878637 \nL 183.506504 192.039546 \nL 184.962982 190.119865 \nL 186.203435 188.133023 \nL 187.21945 186.094338 \nL 188.004375 184.020854 \nL 188.553508 181.930938 \nL 188.864194 179.843605 \nL 188.935875 177.777599 \nL 188.770022 175.750298 \nL 188.369986 173.776612 \nL 187.740674 171.868044 \nL 186.888219 170.032119 \nL 185.819521 168.272343 \nL 184.541864 166.588749 \nL 183.062559 164.978931 \nL 181.134132 163.224992 \nL 178.961812 161.558269 \nL 176.555448 159.976951 \nL 173.580837 158.303046 \nL 170.337358 156.7499 \nL 166.841457 155.332672 \nL 163.111784 154.069618 \nL 159.16948 152.979621 \nL 155.038165 152.080278 \nL 150.743749 151.386809 \nL 146.314104 150.91168 \nL 141.778795 150.66469 \nL 137.168749 150.653256 \nL 132.516067 150.882692 \nL 127.853782 151.356445 \nL 123.215718 152.076214 \nL 119.14114 152.922587 \nL 115.137382 153.962273 \nL 111.229118 155.193114 \nL 107.441119 156.611888 \nL 103.798145 158.214278 \nL 100.324854 159.994861 \nL 97.045675 161.947087 \nL 94.354557 163.79006 \nL 91.846306 165.75268 \nL 89.53639 167.828375 \nL 87.43983 170.009879 \nL 85.571111 172.289234 \nL 83.944117 174.65779 \nL 82.751961 176.751933 \nL 81.75493 178.898504 \nL 80.960374 181.090882 \nL 80.375119 183.322092 \nL 80.005415 185.584831 \nL 79.856882 187.871475 \nL 79.934462 190.17409 \nL 80.24238 192.48446 \nL 80.784075 194.794101 \nL 81.562157 197.094296 \nL 82.578374 199.376114 \nL 83.833536 201.630448 \nL 85.32752 203.848038 \nL 87.059177 206.019523 \nL 89.026318 208.135483 \nL 91.225716 210.186439 \nL 93.653025 212.162952 \nL 96.302781 214.055638 \nL 99.168391 215.855225 \nL 102.242143 217.552573 \nL 105.515168 219.138755 \nL 109.572146 220.837228 \nL 113.868907 222.35925 \nL 118.385624 223.692084 \nL 123.100519 224.823607 \nL 127.989931 225.742315 \nL 133.028398 226.437274 \nL 138.188767 226.897983 \nL 143.442267 227.114122 \nL 147.996428 227.09671 \nL 152.576764 226.884604 \nL 157.162424 226.469531 \nL 161.73168 225.841395 \nL 166.261742 224.987196 \nL 170.728561 223.889413 \nL 174.384108 222.77126 \nL 177.961916 221.448042 \nL 181.444555 219.893974 \nL 184.149249 218.461615 \nL 186.769748 216.836618 \nL 189.293787 214.990115 \nL 191.707485 212.886073 \nL 193.435869 211.112598 \nL 195.085697 209.147069 \nL 196.64846 206.963817 \nL 198.114565 204.533695 \nL 199.473233 201.82415 \nL 200.712309 198.799558 \nL 201.818127 195.422 \nL 202.775391 191.652635 \nL 203.567117 187.453877 \nL 204.174615 182.792555 \nL 204.577649 177.644293 \nL 204.754748 171.999177 \nL 204.683769 165.868643 \nL 204.342789 159.293251 \nL 203.711317 152.350539 \nL 202.772004 145.161733 \nL 201.512584 137.895425 \nL 200.492332 133.112434 \nL 199.32826 128.463015 \nL 198.023361 124.026182 \nL 196.583025 119.883789 \nL 195.015136 116.11714 \nL 193.330125 112.803172 \nL 191.540844 110.010408 \nL 189.662335 107.795103 \nL 188.694827 106.917381 \nL 187.71145 106.197882 \nL 186.714512 105.638841 \nL 185.706373 105.241245 \nL 184.689413 105.004846 \nL 183.666027 104.928175 \nL 182.638594 105.008548 \nL 181.609464 105.242124 \nL 180.580935 105.623967 \nL 179.555235 106.148143 \nL 178.534506 106.80779 \nL 176.51603 108.5022 \nL 174.540435 110.638445 \nL 172.620522 113.14074 \nL 170.766781 115.930218 \nL 168.987312 118.928535 \nL 166.469371 123.655781 \nL 163.408046 130.047875 \nL 159.440528 139.036316 \nL 154.707492 149.810601 \nL 152.569027 154.215327 \nL 150.68582 157.606061 \nL 148.993541 160.146946 \nL 147.439868 162.010477 \nL 145.984128 163.354878 \nL 144.595849 164.314505 \nL 142.98837 165.109237 \nL 141.162172 165.720153 \nL 138.603045 166.2864 \nL 130.89752 167.810002 \nL 128.056154 168.651151 \nL 125.348117 169.684577 \nL 123.017157 170.800624 \nL 120.862769 172.071506 \nL 118.914908 173.487263 \nL 117.347445 174.889547 \nL 115.994563 176.390292 \nL 114.875048 177.977199 \nL 114.081168 179.467909 \nL 113.50129 181.006762 \nL 113.145117 182.582372 \nL 113.0208 184.182709 \nL 113.134806 185.79519 \nL 113.491804 187.406748 \nL 114.094533 189.003932 \nL 114.943713 190.573017 \nL 116.03795 192.100103 \nL 117.373666 193.571244 \nL 118.945045 194.972576 \nL 120.744002 196.290446 \nL 122.760176 197.511555 \nL 125.239707 198.739299 \nL 127.951264 199.815146 \nL 130.871092 200.72366 \nL 133.972365 201.450841 \nL 137.225435 201.984336 \nL 140.598103 202.313643 \nL 144.055965 202.430296 \nL 147.562781 202.328038 \nL 151.080894 202.002938 \nL 154.571693 201.453523 \nL 157.996086 200.680889 \nL 161.314989 199.688775 \nL 164.179928 198.613516 \nL 166.900792 197.372382 \nL 169.451214 195.973976 \nL 171.806128 194.428872 \nL 173.942127 192.74966 \nL 175.837747 190.950937 \nL 177.305373 189.265075 \nL 178.556062 187.510622 \nL 179.57971 185.701278 \nL 180.368057 183.851391 \nL 180.914718 181.975576 \nL 181.215233 180.088313 \nL 181.267015 178.203475 \nL 181.069257 176.333926 \nL 180.622813 174.491221 \nL 179.930002 172.685474 \nL 178.994459 170.92544 \nL 177.820943 169.218789 \nL 176.415229 167.572514 \nL 174.784025 165.993405 \nL 172.934947 164.488473 \nL 170.604993 162.893449 \nL 168.023811 161.413389 \nL 165.206748 160.060651 \nL 162.17091 158.84795 \nL 158.935181 157.787821 \nL 155.520175 156.892121 \nL 151.948139 156.17163 \nL 148.242836 155.635819 \nL 144.429366 155.29272 \nL 140.534036 155.148898 \nL 136.584185 155.209453 \nL 132.608027 155.478037 \nL 128.634538 155.956862 \nL 124.693275 156.646698 \nL 120.814233 157.546866 \nL 117.027708 158.655206 \nL 113.364127 159.968065 \nL 109.853867 161.480259 \nL 106.886754 162.986368 \nL 104.085564 164.638913 \nL 101.470851 166.431135 \nL 99.062696 168.35528 \nL 96.88055 170.402596 \nL 95.171302 172.287397 \nL 93.66141 174.251902 \nL 92.362261 176.288389 \nL 91.284561 178.388577 \nL 90.438259 180.543644 \nL 89.832472 182.744237 \nL 89.475384 184.980503 \nL 89.372729 186.917879 \nL 89.461977 188.867121 \nL 89.74638 190.821244 \nL 90.228532 192.773068 \nL 90.910322 194.715232 \nL 91.792901 196.64022 \nL 92.876637 198.540392 \nL 94.394627 200.715564 \nL 96.183692 202.834016 \nL 98.240125 204.883295 \nL 100.558583 206.850964 \nL 103.132049 208.724682 \nL 105.951813 210.492292 \nL 109.007467 212.141895 \nL 112.286901 213.661937 \nL 115.776347 215.041267 \nL 119.46039 216.269229 \nL 123.322008 217.335735 \nL 127.342667 218.231292 \nL 131.502381 218.947036 \nL 135.779798 219.474759 \nL 140.152297 219.806855 \nL 144.596068 219.936285 \nL 149.086237 219.856414 \nL 153.596936 219.560795 \nL 158.101372 219.042848 \nL 162.571862 218.295355 \nL 166.97982 217.309787 \nL 170.685899 216.267422 \nL 174.305003 215.033439 \nL 177.817055 213.596362 \nL 181.200983 211.941145 \nL 183.906962 210.381148 \nL 186.494666 208.641776 \nL 188.949291 206.705539 \nL 191.25485 204.551549 \nL 192.980314 202.655357 \nL 194.589554 200.590478 \nL 196.07212 198.342233 \nL 197.416739 195.895731 \nL 198.611336 193.236875 \nL 199.64303 190.353783 \nL 200.4983 187.238733 \nL 201.163173 183.890624 \nL 201.623633 180.317922 \nL 201.866154 176.541899 \nL 201.878452 172.599823 \nL 201.650421 168.547557 \nL 201.175239 164.460847 \nL 200.450574 160.434516 \nL 199.479714 156.578795 \nL 198.595656 153.870366 \nL 197.585265 151.37493 \nL 196.457541 149.13951 \nL 195.223608 147.205072 \nL 193.89644 145.603757 \nL 192.490461 144.35659 \nL 191.021051 143.471944 \nL 190.013988 143.081713 \nL 188.990378 142.84605 \nL 187.433766 142.766381 \nL 185.864397 142.98569 \nL 184.295174 143.463163 \nL 182.737183 144.152429 \nL 180.692654 145.316253 \nL 178.210345 147.004556 \nL 170.908528 152.205054 \nL 168.800671 153.388982 \nL 166.747795 154.299921 \nL 164.731516 154.950282 \nL 162.734776 155.369686 \nL 160.343914 155.622802 \nL 157.536986 155.663587 \nL 153.868332 155.474915 \nL 142.778139 154.770483 \nL 138.350373 154.763967 \nL 133.877234 154.989024 \nL 129.843474 155.406087 \nL 125.83225 156.033172 \nL 121.873514 156.872347 \nL 117.99774 157.922893 \nL 114.235671 159.18202 \nL 110.618105 160.645183 \nL 107.54861 162.112092 \nL 104.638853 163.729919 \nL 101.909836 165.492237 \nL 99.382127 167.391606 \nL 97.07573 169.419576 \nL 95.254369 171.292125 \nL 93.629651 173.248931 \nL 92.213419 175.282436 \nL 91.016871 177.38451 \nL 90.050485 179.546461 \nL 89.323916 181.759055 \nL 88.845942 184.012528 \nL 88.640037 185.968851 \nL 88.626794 187.940949 \nL 88.809872 189.921856 \nL 89.192288 191.904387 \nL 89.776364 193.881164 \nL 90.563692 195.84464 \nL 91.55508 197.787121 \nL 92.750555 199.700798 \nL 94.402088 201.886475 \nL 96.327503 204.00956 \nL 98.522392 206.057394 \nL 100.980675 208.017364 \nL 103.694539 209.876999 \nL 106.654469 211.62402 \nL 109.849197 213.246464 \nL 113.265749 214.732728 \nL 116.889452 216.071665 \nL 120.703968 217.252661 \nL 124.691385 218.265662 \nL 128.832243 219.10125 \nL 133.105653 219.750639 \nL 137.489345 220.205686 \nL 141.959789 220.458841 \nL 146.492307 220.503005 \nL 151.06115 220.331375 \nL 155.639556 219.937123 \nL 160.199814 219.312972 \nL 164.713275 218.450533 \nL 168.522264 217.513842 \nL 172.255726 216.386108 \nL 175.89356 215.056433 \nL 179.414699 213.510464 \nL 182.243779 212.043424 \nL 184.962594 210.399094 \nL 187.556436 208.560071 \nL 190.009363 206.505089 \nL 191.858609 204.688665 \nL 193.596846 202.702888 \nL 195.213546 200.531303 \nL 196.69725 198.156363 \nL 198.035554 195.560208 \nL 199.215032 192.725863 \nL 200.221321 189.639005 \nL 201.039245 186.29036 \nL 201.653095 182.678789 \nL 202.047111 178.814955 \nL 202.20613 174.725351 \nL 202.116536 170.456217 \nL 201.767431 166.076597 \nL 201.151959 161.679541 \nL 200.268798 157.380507 \nL 199.433801 154.29983 \nL 198.456407 151.407817 \nL 197.344483 148.763083 \nL 196.108522 146.420172 \nL 194.761485 144.42594 \nL 193.318446 142.816178 \nL 192.311282 141.968102 \nL 191.274066 141.303756 \nL 190.212126 140.822708 \nL 189.130796 140.521385 \nL 188.035323 140.393203 \nL 186.930772 140.428827 \nL 185.267348 140.763103 \nL 183.608965 141.391312 \nL 181.968228 142.259115 \nL 179.825279 143.689764 \nL 177.241293 145.731439 \nL 169.772292 151.926685 \nL 167.653723 153.336606 \nL 165.604842 154.431927 \nL 163.604524 155.230259 \nL 161.633385 155.767454 \nL 159.674808 156.088316 \nL 157.32246 156.253865 \nL 154.155815 156.226066 \nL 148.0616 155.868801 \nL 142.177585 155.62563 \nL 137.887057 155.657865 \nL 133.558391 155.912558 \nL 129.659886 156.348821 \nL 125.787992 156.988022 \nL 121.971787 157.832109 \nL 118.240841 158.88021 \nL 114.62497 160.129391 \nL 111.153996 161.574976 \nL 107.857573 163.210677 \nL 105.097632 164.817915 \nL 102.518933 166.562612 \nL 100.141191 168.437224 \nL 97.983522 170.433232 \nL 96.06431 172.541136 \nL 94.594399 174.46914 \nL 93.331584 176.467211 \nL 92.286294 178.527193 \nL 91.468211 180.640406 \nL 90.886189 182.797651 \nL 90.548162 184.98925 \nL 90.461083 187.205057 \nL 90.63082 189.434501 \nL 90.984317 191.348017 \nL 91.532223 193.256412 \nL 92.276084 195.15242 \nL 93.392623 197.338893 \nL 94.776911 199.48648 \nL 96.427422 201.583099 \nL 98.341102 203.616588 \nL 100.513309 205.574775 \nL 102.937777 207.445567 \nL 105.606603 209.217017 \nL 108.510227 210.877402 \nL 111.63744 212.415304 \nL 114.975384 213.819695 \nL 118.5096 215.079996 \nL 122.22406 216.186155 \nL 126.101224 217.128695 \nL 130.122119 217.898766 \nL 134.266401 218.488164 \nL 138.512465 218.88932 \nL 142.837546 219.095269 \nL 147.217791 219.099564 \nL 151.628375 218.896117 \nL 156.043562 218.478969 \nL 160.436797 217.841931 \nL 164.780708 216.978091 \nL 169.04709 215.879126 \nL 172.620213 214.742031 \nL 176.09597 213.41572 \nL 179.454613 211.888921 \nL 182.675449 210.147039 \nL 185.238426 208.5178 \nL 187.676988 206.712889 \nL 189.976731 204.716381 \nL 192.122149 202.50982 \nL 193.716147 200.579509 \nL 195.191446 198.490329 \nL 196.538196 196.230985 \nL 197.745952 193.790891 \nL 198.803673 191.161248 \nL 199.699834 188.33648 \nL 200.422612 185.316046 \nL 200.960179 182.106584 \nL 201.301096 178.724271 \nL 201.434878 175.197173 \nL 201.352681 171.56723 \nL 201.048131 167.891414 \nL 200.518217 164.241519 \nL 199.764173 160.702059 \nL 198.792248 157.365942 \nL 197.927182 155.05449 \nL 196.953108 152.948961 \nL 195.878773 151.083328 \nL 194.714473 149.485392 \nL 193.471751 148.174981 \nL 192.163045 147.162609 \nL 190.801286 146.448785 \nL 189.399427 146.023996 \nL 187.970009 145.869425 \nL 186.52473 145.958273 \nL 185.074106 146.257585 \nL 183.147049 146.919732 \nL 180.772548 148.040471 \nL 177.097293 150.112884 \nL 173.16476 152.268972 \nL 170.643101 153.386281 \nL 168.583646 154.077685 \nL 166.546488 154.554018 \nL 164.111467 154.871194 \nL 161.667002 154.9612 \nL 158.365253 154.831043 \nL 152.843127 154.322609 \nL 146.203195 153.754819 \nL 141.639136 153.570808 \nL 136.999333 153.612051 \nL 132.789072 153.865739 \nL 128.57645 154.335527 \nL 124.39202 155.026028 \nL 120.267122 155.938345 \nL 116.233576 157.071165 \nL 112.323431 158.421233 \nL 108.977286 159.799681 \nL 105.776446 161.341248 \nL 102.743156 163.040278 \nL 99.899322 164.890068 \nL 97.266429 166.882865 \nL 94.865372 169.009856 \nL 92.970517 170.973322 \nL 91.281618 173.024711 \nL 89.811084 175.156138 \nL 88.570657 177.359107 \nL 87.571315 179.624531 \nL 86.823214 181.942751 \nL 86.388964 183.964088 \nL 86.151296 186.009976 \nL 86.114821 188.073402 \nL 86.283525 190.147102 \nL 86.660695 192.223574 \nL 87.248916 194.295111 \nL 88.050002 196.353809 \nL 89.064963 198.391612 \nL 90.293974 200.400331 \nL 91.736349 202.371669 \nL 93.390487 204.29727 \nL 95.253868 206.16874 \nL 97.687587 208.272518 \nL 100.394139 210.277988 \nL 103.364543 212.172062 \nL 106.587928 213.941955 \nL 110.051625 215.575195 \nL 113.741137 217.059743 \nL 117.640186 218.384062 \nL 121.730762 219.537176 \nL 125.993173 220.508738 \nL 130.406158 221.289017 \nL 134.946933 221.868921 \nL 139.591301 222.239951 \nL 144.313775 222.394025 \nL 149.087612 222.32332 \nL 153.884933 222.01988 \nL 158.67675 221.475097 \nL 162.756828 220.808478 \nL 166.791057 219.949376 \nL 170.758995 218.887813 \nL 174.639256 217.610632 \nL 177.789603 216.369049 \nL 180.849581 214.952173 \nL 183.804374 213.342774 \nL 186.637962 211.518876 \nL 188.805821 209.886887 \nL 190.875012 208.082697 \nL 192.834718 206.085993 \nL 194.67298 203.873299 \nL 196.376537 201.41809 \nL 197.930631 198.691272 \nL 199.318893 195.662234 \nL 200.240429 193.173818 \nL 201.050239 190.486531 \nL 201.739524 187.590534 \nL 202.299024 184.479112 \nL 202.71916 181.150134 \nL 202.990208 177.607741 \nL 203.10255 173.864196 \nL 203.047026 169.941783 \nL 202.815365 165.874565 \nL 202.400685 161.709717 \nL 201.798109 157.508159 \nL 201.005365 153.344094 \nL 200.023429 149.303208 \nL 198.857055 145.47927 \nL 197.515199 141.969179 \nL 196.011176 138.866692 \nL 194.926914 137.066745 \nL 193.784477 135.506299 \nL 192.590694 134.201961 \nL 191.352926 133.165441 \nL 190.078925 132.403068 \nL 188.776667 131.915538 \nL 187.454178 131.697896 \nL 186.119363 131.739782 \nL 184.779836 132.025908 \nL 183.442764 132.536708 \nL 182.114753 133.249167 \nL 180.152464 134.639572 \nL 178.240443 136.333693 \nL 175.790559 138.90402 \nL 172.912366 142.331215 \nL 165.953742 150.894984 \nL 163.797952 153.142773 \nL 161.765719 154.914039 \nL 160.207511 156.013807 \nL 158.693369 156.864667 \nL 156.843284 157.631801 \nL 155.021412 158.134356 \nL 152.850198 158.478922 \nL 150.313917 158.644649 \nL 146.282736 158.655937 \nL 139.151734 158.672254 \nL 134.957983 158.914005 \nL 131.142278 159.343276 \nL 127.35775 159.988337 \nL 123.639467 160.854417 \nL 120.023389 161.941164 \nL 116.886254 163.10476 \nL 113.887625 164.439324 \nL 111.053606 165.938671 \nL 108.409854 167.59518 \nL 105.981379 169.399821 \nL 104.023027 171.119915 \nL 102.270178 172.940614 \nL 100.738351 174.852844 \nL 99.442171 176.846709 \nL 98.395234 178.911499 \nL 97.693425 180.767365 \nL 97.199522 182.660602 \nL 96.920229 184.582644 \nL 96.861364 186.524546 \nL 97.027775 188.47701 \nL 97.423293 190.430423 \nL 98.050665 192.374898 \nL 98.911465 194.300318 \nL 100.006087 196.19638 \nL 101.333657 198.052649 \nL 102.891994 199.858621 \nL 104.677587 201.603769 \nL 106.685546 203.277618 \nL 108.909593 204.869807 \nL 111.706041 206.576412 \nL 114.760946 208.148267 \nL 118.058222 209.571135 \nL 121.579469 210.831456 \nL 125.304039 211.916468 \nL 129.209133 212.814324 \nL 133.269929 213.514176 \nL 137.459732 214.006248 \nL 141.750128 214.28188 \nL 146.111191 214.333518 \nL 150.511654 214.154667 \nL 154.919123 213.739792 \nL 159.300242 213.08412 \nL 163.085281 212.309529 \nL 166.800745 211.344578 \nL 170.42304 210.18641 \nL 173.928276 208.831797 \nL 177.292281 207.276904 \nL 180.04475 205.781244 \nL 182.659868 204.131645 \nL 185.121801 202.324321 \nL 187.414506 200.355368 \nL 189.521717 198.221248 \nL 191.124194 196.314896 \nL 192.576927 194.29203 \nL 193.870455 192.154316 \nL 194.995525 189.906037 \nL 195.943284 187.555018 \nL 196.705548 185.113605 \nL 197.275122 182.599563 \nL 197.646205 180.036761 \nL 197.814832 177.455407 \nL 197.779338 174.89164 \nL 197.540782 172.386276 \nL 197.103279 169.98264 \nL 196.474152 167.723546 \nL 195.663866 165.647689 \nL 194.685695 163.785927 \nL 193.555108 162.158044 \nL 192.288913 160.770565 \nL 190.904289 159.616088 \nL 189.417751 158.674307 \nL 187.520264 157.781213 \nL 185.176284 156.983055 \nL 181.991778 156.176818 \nL 167.547239 152.805329 \nL 160.188572 151.111756 \nL 155.300161 150.19902 \nL 150.732743 149.548952 \nL 146.031246 149.100396 \nL 141.224087 148.878212 \nL 136.342535 148.898078 \nL 131.967734 149.126684 \nL 127.584576 149.557924 \nL 123.217899 150.193799 \nL 118.893011 151.034862 \nL 114.635558 152.080412 \nL 110.471448 153.328593 \nL 106.426732 154.776401 \nL 102.527503 156.419694 \nL 98.799816 158.25317 \nL 95.699152 160.008405 \nL 92.76676 161.899205 \nL 90.019541 163.919757 \nL 87.474066 166.063529 \nL 85.146501 168.323254 \nL 83.052516 170.69093 \nL 81.207214 173.157823 \nL 79.834407 175.344114 \nL 78.663537 177.589963 \nL 77.702761 179.888596 \nL 76.959715 182.232859 \nL 76.441466 184.615228 \nL 76.15445 187.027818 \nL 76.104421 189.462412 \nL 76.296391 191.910454 \nL 76.734585 194.363101 \nL 77.422387 196.811223 \nL 78.362273 199.24544 \nL 79.555772 201.656157 \nL 81.00342 204.033587 \nL 82.704679 206.367803 \nL 84.65795 208.648762 \nL 86.860481 210.866367 \nL 89.308377 213.010501 \nL 91.996539 215.07107 \nL 94.918666 217.038062 \nL 98.067232 218.901586 \nL 101.433459 220.65195 \nL 105.007363 222.279659 \nL 108.77773 223.77549 \nL 112.732142 225.130518 \nL 116.857005 226.33614 \nL 121.137566 227.384095 \nL 125.557969 228.266439 \nL 130.101279 228.975515 \nL 134.749547 229.50386 \nL 139.483815 229.844056 \nL 144.284161 229.988487 \nL 149.129716 229.928962 \nL 153.998636 229.656144 \nL 158.868 229.158663 \nL 163.713715 228.421812 \nL 167.715344 227.610714 \nL 171.667025 226.603886 \nL 175.551779 225.379985 \nL 179.351032 223.909791 \nL 182.315048 222.52976 \nL 185.199249 220.939345 \nL 187.990201 219.103346 \nL 190.013039 217.538446 \nL 191.967412 215.786747 \nL 193.844968 213.82021 \nL 195.636194 211.605631 \nL 197.330239 209.104044 \nL 198.914632 206.270269 \nL 200.37504 203.052733 \nL 201.694955 199.393751 \nL 202.855443 195.230606 \nL 203.834865 190.49771 \nL 204.608669 185.130366 \nL 205.149396 179.070672 \nL 205.426814 172.275946 \nL 205.408489 164.730132 \nL 205.060789 156.457927 \nL 204.629552 150.576977 \nL 204.027945 144.44938 \nL 203.24776 138.132804 \nL 202.282279 131.702298 \nL 201.126826 125.250589 \nL 199.779347 118.887133 \nL 198.240981 112.735658 \nL 196.5166 106.93005 \nL 194.615177 101.60854 \nL 192.550021 96.9065 \nL 191.461392 94.827304 \nL 190.338763 92.948297 \nL 189.18496 91.281951 \nL 188.003029 89.839055 \nL 186.796202 88.628492 \nL 185.56787 87.657091 \nL 184.321556 86.929494 \nL 183.060879 86.448059 \nL 181.789504 86.21282 \nL 180.511125 86.22151 \nL 179.229407 86.469587 \nL 177.947962 86.95037 \nL 176.670307 87.655148 \nL 175.39983 88.573377 \nL 174.139761 89.692885 \nL 172.893144 91.000094 \nL 171.662817 92.480291 \nL 169.261232 95.896599 \nL 166.952935 99.810933 \nL 164.751794 104.090218 \nL 162.667625 108.606089 \nL 159.772856 115.568669 \nL 157.160208 122.463197 \nL 153.408371 133.149521 \nL 146.111466 154.388479 \nL 144.300104 158.978713 \nL 142.749554 162.385285 \nL 141.388873 164.878063 \nL 140.164679 166.689693 \nL 139.038046 168.007606 \nL 137.776592 169.138288 \nL 136.390794 170.059068 \nL 134.701237 170.895928 \nL 127.636586 174.063954 \nL 125.879976 175.23285 \nL 124.462659 176.42969 \nL 123.267283 177.729262 \nL 122.386406 178.99856 \nL 121.72763 180.329124 \nL 121.30484 181.706568 \nL 121.134956 182.986433 \nL 121.176296 184.27991 \nL 121.433591 185.574164 \nL 121.909473 186.855966 \nL 122.604372 188.111822 \nL 123.516421 189.328111 \nL 124.765368 190.604096 \nL 126.262923 191.797887 \nL 127.996567 192.892128 \nL 129.95029 193.870232 \nL 132.309718 194.78655 \nL 134.878286 195.527727 \nL 137.622122 196.077544 \nL 140.503539 196.422358 \nL 143.481553 196.551442 \nL 146.512507 196.457277 \nL 149.550782 196.1358 \nL 152.549552 195.586606 \nL 155.461602 194.813084 \nL 158.014846 193.913092 \nL 160.420846 192.839116 \nL 162.646014 191.602307 \nL 164.658779 190.216393 \nL 166.279739 188.840612 \nL 167.681399 187.368568 \nL 168.846331 185.815164 \nL 169.679953 184.360643 \nL 170.300615 182.865128 \nL 170.701038 181.340927 \nL 170.875776 179.800423 \nL 170.821216 178.255912 \nL 170.535558 176.719482 \nL 170.018789 175.202936 \nL 169.272623 173.717758 \nL 168.300471 172.275129 \nL 167.107375 170.885949 \nL 165.530714 169.418068 \nL 163.700875 168.043638 \nL 161.631522 166.776582 \nL 159.338563 165.630345 \nL 156.840046 164.617754 \nL 153.878325 163.672557 \nL 150.721723 162.91813 \nL 147.402305 162.367287 \nL 143.954473 162.030878 \nL 140.414669 161.917619 \nL 136.821097 162.033968 \nL 133.213389 162.384025 \nL 129.632287 162.969457 \nL 126.434723 163.705257 \nL 123.324909 164.632446 \nL 120.334352 165.746781 \nL 117.494365 167.042209 \nL 114.835786 168.51086 \nL 112.623083 169.972776 \nL 110.602981 171.558845 \nL 108.7959 173.259557 \nL 107.221227 175.064236 \nL 106.031352 176.746152 \nL 105.051336 178.491875 \nL 104.292039 180.29172 \nL 103.763222 182.135386 \nL 103.47346 184.011985 \nL 103.429993 185.910093 \nL 103.63866 187.817803 \nL 104.031511 189.485246 \nL 104.723307 191.377461 \nL 105.675235 193.242956 \nL 106.886738 195.068611 \nL 108.355427 196.841188 \nL 110.077005 198.547433 \nL 112.045227 200.174183 \nL 114.251885 201.708457 \nL 116.686783 203.137578 \nL 119.337761 204.449269 \nL 121.823577 205.491411 \nL 121.823577 205.491411 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p6f913be9f3\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,0], result_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file

From 3bdbd484e3a22dd8a35b6d688f88cc3008618972 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Thu, 19 Aug 2021 22:56:59 -0400
Subject: [PATCH 10/73] Added second order example

---
 .../rosslerAttractorTest.ipynb                |   4 +-
 .../secondOrderExampleTest.ipynb              | 241 ++++++++++++++++++
 2 files changed, 243 insertions(+), 2 deletions(-)
 create mode 100644 examples/ode/second_order_example/secondOrderExampleTest.ipynb

diff --git a/examples/ode/rossler_attractor/rosslerAttractorTest.ipynb b/examples/ode/rossler_attractor/rosslerAttractorTest.ipynb
index e4444bfd..d5ba4b19 100644
--- a/examples/ode/rossler_attractor/rosslerAttractorTest.ipynb
+++ b/examples/ode/rossler_attractor/rosslerAttractorTest.ipynb
@@ -29,7 +29,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Lorenz 63 equations\n",
+    "# Rossler Attractor equations\n",
     "def x_prime(prev_val, coeffs):\n",
     "    return -prev_val[\"y\"]-prev_val[\"z\"]\n",
     "\n",
@@ -41,7 +41,7 @@
     "\n",
     "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
     "\n",
-    "# Initial conditions [1,0,0]\n",
+    "# Initial conditions [0,0,0]\n",
     "ode_init = {\"x\":0, \"y\":0, \"z\":0}\n",
     "\n",
     "# Constants (Parameters)\n",
diff --git a/examples/ode/second_order_example/secondOrderExampleTest.ipynb b/examples/ode/second_order_example/secondOrderExampleTest.ipynb
new file mode 100644
index 00000000..843d2845
--- /dev/null
+++ b/examples/ode/second_order_example/secondOrderExampleTest.ipynb
@@ -0,0 +1,241 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Equations\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x_\"]\n",
+    "\n",
+    "def x_prime_prime(prev_val, coeffs):\n",
+    "    return -prev_val[\"x\"] - coeffs[\"alpha\"]*prev_val[\"x\"]*prev_val[\"y\"]\n",
+    "\n",
+    "def y_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"y_\"]\n",
+    "\n",
+    "def y_prime_prime(prev_val, coeffs):\n",
+    "    return -prev_val[\"y\"] - (prev_val[\"x\"]*prev_val[\"x\"] - prev_val[\"y\"]*prev_val[\"y\"])\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"y\": y_prime, \"y_\": y_prime_prime}\n"
+   ]
+  },
+  {
+   "source": [
+    "# Initial conditions: (0, 0.436630946376151, 0.095, 0.03)"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_init = {\"x\":0., \"x_\": 0.436630946376151, \"y\": 0.095, \"y_\": 0.03}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"alpha\": 2.}\n",
+    "\n",
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=torch.optim.SGD,\n",
+    "    optimizer_args={\"lr\": 0.01}\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(100000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[0.0000, 0.4366, 0.0950, 0.0300],\n",
+       "        [0.0044, 0.4366, 0.0953, 0.0291],\n",
+       "        [0.0087, 0.4365, 0.0956, 0.0283],\n",
+       "        ...,\n",
+       "        [0.0182, 0.4362, 0.0965, 0.0257],\n",
+       "        [0.0226, 0.4359, 0.0968, 0.0248],\n",
+       "        [0.0269, 0.4356, 0.0970, 0.0239]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 24
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T22:52:06.782316</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"maa994ff49e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"63.581727\" xlink:href=\"#maa994ff49e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −0.4 -->\n      <g transform=\"translate(51.440321 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"140.310921\" xlink:href=\"#maa994ff49e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −0.2 -->\n      <g transform=\"translate(128.169514 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"217.040114\" xlink:href=\"#maa994ff49e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.0 -->\n      <g transform=\"translate(209.088552 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"293.769308\" xlink:href=\"#maa994ff49e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.2 -->\n      <g transform=\"translate(285.817745 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"370.498501\" xlink:href=\"#maa994ff49e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.4 -->\n      <g transform=\"translate(362.546939 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_6\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"md1f9b443d1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"271.118387\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- −0.4 -->\n      <g transform=\"translate(7.2 274.917606)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"241.403169\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.3 -->\n      <g transform=\"translate(7.2 245.202388)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"211.687951\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.2 -->\n      <g transform=\"translate(7.2 215.48717)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"181.972734\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.1 -->\n      <g transform=\"translate(7.2 185.771952)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"152.257516\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 156.056735)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"122.542298\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.1 -->\n      <g transform=\"translate(15.579688 126.341517)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"92.82708\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.2 -->\n      <g transform=\"translate(15.579688 96.626299)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"63.111863\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.3 -->\n      <g transform=\"translate(15.579688 66.911081)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"33.396645\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.4 -->\n      <g transform=\"translate(15.579688 37.195864)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p6aa929bded)\" d=\"M 217.040114 124.028059 \nL 232.091908 123.330344 \nL 246.998095 122.848326 \nL 261.613813 122.596066 \nL 274.246595 122.580285 \nL 286.440466 122.77794 \nL 296.676864 123.140772 \nL 306.446859 123.695076 \nL 315.69489 124.454965 \nL 323.167155 125.280665 \nL 330.188206 126.276482 \nL 336.730936 127.450645 \nL 341.800248 128.570825 \nL 346.508065 129.82402 \nL 350.843458 131.213618 \nL 354.797108 132.742406 \nL 357.679904 134.067099 \nL 360.31019 135.48298 \nL 362.685416 136.990461 \nL 364.803708 138.589606 \nL 366.6639 140.280111 \nL 368.265442 142.061292 \nL 369.608471 143.932065 \nL 370.693766 145.890943 \nL 371.522743 147.936018 \nL 372.097404 150.064962 \nL 372.420345 152.275015 \nL 372.494754 154.562994 \nL 372.324349 156.925283 \nL 371.913324 159.357843 \nL 371.266392 161.856217 \nL 370.388673 164.415539 \nL 369.285702 167.030541 \nL 367.599266 170.368951 \nL 365.582355 173.773664 \nL 363.247924 177.231994 \nL 360.60944 180.730477 \nL 357.680853 184.254938 \nL 354.476386 187.790582 \nL 351.010536 191.322065 \nL 347.297803 194.833617 \nL 342.537105 198.998427 \nL 337.466718 203.082938 \nL 332.111042 207.058596 \nL 327.447209 210.267885 \nL 322.615098 213.365383 \nL 317.627547 216.33498 \nL 312.496951 219.160949 \nL 307.235122 221.828045 \nL 301.853342 224.321615 \nL 296.362327 226.627698 \nL 290.772229 228.73317 \nL 285.092629 230.625767 \nL 279.332594 232.294239 \nL 273.500677 233.728396 \nL 267.604977 234.91923 \nL 261.65317 235.85893 \nL 255.652559 236.540988 \nL 249.610156 236.960196 \nL 243.532737 237.112782 \nL 237.426899 236.996302 \nL 231.299166 236.60978 \nL 225.156027 235.953661 \nL 219.004039 235.029821 \nL 212.849894 233.841547 \nL 206.700495 232.393513 \nL 200.563033 230.69176 \nL 194.445055 228.743638 \nL 188.354526 226.557755 \nL 182.299892 224.143927 \nL 176.290134 221.513083 \nL 170.33482 218.677208 \nL 164.444129 215.649256 \nL 158.628875 212.44304 \nL 151.766378 208.380882 \nL 145.050219 204.109584 \nL 138.502888 199.656787 \nL 132.148189 195.051014 \nL 126.011173 190.321401 \nL 120.117989 185.497441 \nL 114.495716 180.608693 \nL 109.172214 175.684534 \nL 104.175825 170.753899 \nL 99.535168 165.845037 \nL 95.278827 160.985281 \nL 92.045822 156.991933 \nL 89.11528 153.065357 \nL 86.502784 149.219287 \nL 84.223233 145.46667 \nL 82.290828 141.819602 \nL 80.718876 138.28928 \nL 79.729143 135.555999 \nL 78.983768 132.908807 \nL 78.487986 130.35209 \nL 78.246533 127.889812 \nL 78.263523 125.525517 \nL 78.542444 123.262323 \nL 79.086155 121.102918 \nL 79.896816 119.049578 \nL 80.975891 117.104153 \nL 82.324134 115.26809 \nL 83.941499 113.542435 \nL 85.827245 111.927845 \nL 87.97986 110.424613 \nL 90.397048 109.032668 \nL 93.075755 107.751607 \nL 96.01214 106.580703 \nL 99.201652 105.518938 \nL 103.536302 104.34323 \nL 108.246097 103.332975 \nL 113.317284 102.484596 \nL 118.734507 101.794076 \nL 125.668024 101.167659 \nL 133.043361 100.754194 \nL 140.825692 100.545267 \nL 148.977709 100.532329 \nL 158.902823 100.75361 \nL 169.211323 101.217022 \nL 179.834529 101.910304 \nL 190.70171 102.82229 \nL 203.327667 104.119895 \nL 216.069853 105.678334 \nL 228.820341 107.48842 \nL 239.900307 109.273679 \nL 250.836054 111.244397 \nL 261.560739 113.399754 \nL 272.010509 115.740318 \nL 280.70283 117.89519 \nL 289.113165 120.188944 \nL 297.208238 122.623452 \nL 304.957372 125.20071 \nL 312.332606 127.922661 \nL 318.174825 130.302721 \nL 323.726964 132.785215 \nL 328.977566 135.370617 \nL 333.916638 138.059043 \nL 338.535732 140.850174 \nL 342.827894 143.743185 \nL 346.787684 146.736681 \nL 349.713516 149.202485 \nL 352.422762 151.729963 \nL 354.914656 154.317463 \nL 357.189073 156.963022 \nL 359.24639 159.664354 \nL 361.087556 162.418833 \nL 362.714069 165.223498 \nL 364.127883 168.075031 \nL 365.331446 170.969766 \nL 366.327662 173.903678 \nL 367.119847 176.872401 \nL 367.711727 179.871205 \nL 368.10735 182.895026 \nL 368.311142 185.938465 \nL 368.327789 188.9958 \nL 368.162254 192.060995 \nL 367.707039 195.893872 \nL 366.9858 199.71617 \nL 366.009478 203.514305 \nL 364.789222 207.274165 \nL 363.336374 210.981169 \nL 361.662332 214.620351 \nL 359.778484 218.176451 \nL 357.696094 221.634027 \nL 355.426238 224.977521 \nL 352.979735 228.191398 \nL 350.367057 231.260216 \nL 347.59823 234.16877 \nL 344.682918 236.902164 \nL 341.630254 239.445947 \nL 338.448848 241.786205 \nL 335.146761 243.909672 \nL 331.731506 245.8038 \nL 328.210009 247.456926 \nL 324.588607 248.858254 \nL 321.623478 249.791446 \nL 318.600839 250.552728 \nL 315.523192 251.138071 \nL 312.392838 251.543934 \nL 309.211849 251.767269 \nL 305.982143 251.80557 \nL 302.705467 251.656819 \nL 299.383406 251.319589 \nL 296.017435 250.79296 \nL 292.60889 250.076594 \nL 288.29027 248.914683 \nL 283.909383 247.458254 \nL 279.468442 245.710256 \nL 274.969601 243.674922 \nL 270.415056 241.357769 \nL 265.807104 238.765554 \nL 261.148248 235.906212 \nL 256.441228 232.788793 \nL 250.733604 228.721516 \nL 244.967189 224.316536 \nL 239.149095 219.595044 \nL 233.287592 214.579879 \nL 226.407154 208.390145 \nL 219.498398 201.874419 \nL 211.594499 194.083219 \nL 203.716089 185.987157 \nL 195.904042 177.653057 \nL 187.25257 168.076538 \nL 178.817318 158.379422 \nL 170.679459 148.655334 \nL 163.766211 140.062385 \nL 157.222081 131.580694 \nL 151.851461 124.296003 \nL 146.860366 117.177277 \nL 142.294284 110.258664 \nL 138.752654 104.51176 \nL 135.583322 98.953539 \nL 132.812312 93.600884 \nL 130.825105 89.308488 \nL 129.144661 85.177577 \nL 127.783063 81.215441 \nL 126.751192 77.428593 \nL 126.169573 74.529223 \nL 125.809359 71.748325 \nL 125.674158 69.088204 \nL 125.766907 66.550859 \nL 126.089876 64.137975 \nL 126.644614 61.850967 \nL 127.431928 59.690978 \nL 128.451879 57.658885 \nL 129.703749 55.755281 \nL 131.186056 53.980556 \nL 132.896531 52.334869 \nL 134.83211 50.818141 \nL 136.988961 49.430132 \nL 139.362473 48.1704 \nL 141.947282 47.03836 \nL 144.737266 46.033259 \nL 147.725582 45.154239 \nL 151.728333 44.231276 \nL 156.012956 43.501715 \nL 160.561698 42.963316 \nL 165.355393 42.613759 \nL 170.37356 42.450661 \nL 176.661073 42.497704 \nL 183.20119 42.805798 \nL 189.952758 43.371127 \nL 196.873222 44.190167 \nL 203.91904 45.259756 \nL 211.046098 46.577122 \nL 218.210103 48.139936 \nL 225.366998 49.946294 \nL 232.473359 51.99469 \nL 239.486783 54.283992 \nL 245.23067 56.375189 \nL 250.858684 58.632751 \nL 256.348962 61.056404 \nL 261.680745 63.645883 \nL 266.834476 66.400877 \nL 271.791905 69.321006 \nL 276.536167 72.405711 \nL 281.051884 75.65424 \nL 284.490533 78.370344 \nL 287.767643 81.18995 \nL 290.877515 84.112213 \nL 293.815123 87.136101 \nL 296.576106 90.260365 \nL 299.156782 93.483544 \nL 301.554155 96.803921 \nL 303.765894 100.219515 \nL 305.790322 103.72806 \nL 307.626417 107.326992 \nL 309.273802 111.013419 \nL 310.732693 114.784128 \nL 312.00392 118.635562 \nL 313.088866 122.563802 \nL 313.989452 126.564576 \nL 314.708141 130.633234 \nL 315.247861 134.764755 \nL 315.611974 138.953742 \nL 315.825998 144.261949 \nL 315.77983 149.638788 \nL 315.482523 155.07125 \nL 314.943832 160.545454 \nL 314.174057 166.046673 \nL 313.184016 171.559378 \nL 311.984877 177.067289 \nL 310.588019 182.553446 \nL 309.004971 188.000265 \nL 306.875857 194.458985 \nL 304.515162 200.802802 \nL 301.942404 206.998886 \nL 299.176551 213.01397 \nL 296.23585 218.81466 \nL 293.137674 224.3677 \nL 289.898426 229.640299 \nL 287.102354 233.796772 \nL 284.227207 237.718299 \nL 281.280664 241.387578 \nL 278.269812 244.788117 \nL 275.20117 247.904296 \nL 272.080677 250.721564 \nL 268.913729 253.226487 \nL 266.350009 254.997333 \nL 263.76193 256.55486 \nL 261.151561 257.894038 \nL 258.520777 259.010466 \nL 255.8713 259.900326 \nL 253.204695 260.560483 \nL 250.522395 260.988494 \nL 247.82572 261.182552 \nL 245.115891 261.141567 \nL 242.39406 260.865132 \nL 239.661312 260.353549 \nL 236.918701 259.607809 \nL 234.167267 258.629585 \nL 231.40805 257.421252 \nL 228.64212 255.985821 \nL 225.870591 254.326974 \nL 223.094647 252.449025 \nL 219.620452 249.801019 \nL 216.144068 246.829252 \nL 212.66853 243.54591 \nL 209.19724 239.964438 \nL 205.734021 236.099366 \nL 201.594883 231.108923 \nL 197.481931 225.761151 \nL 193.404654 220.086201 \nL 189.373724 214.115471 \nL 184.745475 206.818984 \nL 180.217553 199.216422 \nL 175.813213 191.36081 \nL 171.557883 183.305137 \nL 167.478996 175.101812 \nL 163.605741 166.802107 \nL 159.968783 158.455725 \nL 156.599851 150.110364 \nL 153.950099 142.992449 \nL 151.541624 135.935648 \nL 149.39481 128.965423 \nL 147.52964 122.105593 \nL 145.965417 115.378263 \nL 144.905042 109.88811 \nL 144.076367 104.514966 \nL 143.488655 99.268802 \nL 143.150325 94.158721 \nL 143.068867 89.192977 \nL 143.250734 84.378977 \nL 143.589436 80.6415 \nL 144.102259 77.008402 \nL 144.790849 73.482367 \nL 145.656283 70.065807 \nL 146.699062 66.760804 \nL 147.919095 63.569209 \nL 149.315685 60.492563 \nL 150.887505 57.532202 \nL 152.632601 54.689199 \nL 154.54837 51.964439 \nL 156.631567 49.358586 \nL 158.878298 46.872136 \nL 161.284046 44.505408 \nL 163.843656 42.258605 \nL 166.551342 40.131781 \nL 169.400717 38.124892 \nL 173.151033 35.784714 \nL 177.096974 33.631305 \nL 181.222401 31.664125 \nL 185.509962 29.882537 \nL 189.941188 28.285911 \nL 194.496619 26.873637 \nL 199.155907 25.645131 \nL 203.897954 24.599904 \nL 208.701045 23.737595 \nL 214.514066 22.943998 \nL 220.344067 22.413401 \nL 226.151784 22.146097 \nL 231.89801 22.142758 \nL 236.611566 22.342298 \nL 241.233458 22.726578 \nL 245.742189 23.296486 \nL 250.116948 24.053039 \nL 254.337745 24.997345 \nL 258.385519 26.130571 \nL 262.242281 27.453906 \nL 265.891215 28.968518 \nL 269.316801 30.675505 \nL 271.88689 32.180278 \nL 274.298355 33.809245 \nL 276.545217 35.562769 \nL 278.622148 37.441107 \nL 280.524461 39.44441 \nL 282.24813 41.572704 \nL 283.789794 43.825838 \nL 285.146778 46.203548 \nL 286.317053 48.705336 \nL 287.299297 51.330565 \nL 288.092813 54.078351 \nL 288.697573 56.947612 \nL 289.114183 59.937028 \nL 289.343877 63.045024 \nL 289.388473 66.269767 \nL 289.250356 69.609165 \nL 288.825314 73.940983 \nL 288.126302 78.442957 \nL 287.16138 83.10906 \nL 285.939649 87.932562 \nL 284.471159 92.905963 \nL 282.398647 99.060212 \nL 280.006699 105.402594 \nL 277.316655 111.915739 \nL 273.831209 119.704836 \nL 270.006552 127.667635 \nL 265.879404 135.768481 \nL 260.839131 145.146316 \nL 255.504955 154.593039 \nL 249.928226 164.043535 \nL 244.15742 173.429356 \nL 238.23745 182.67936 \nL 232.209236 191.720445 \nL 226.10935 200.478377 \nL 219.969882 208.878747 \nL 214.587196 215.87786 \nL 209.211181 222.498692 \nL 204.618675 227.837333 \nL 200.048049 232.835932 \nL 195.505337 237.468034 \nL 190.99562 241.708955 \nL 187.265825 244.927818 \nL 183.564013 247.847326 \nL 179.892031 250.456757 \nL 176.251529 252.746634 \nL 172.644024 254.708846 \nL 169.78276 256.038141 \nL 166.944295 257.150654 \nL 164.129403 258.04426 \nL 161.338893 258.717453 \nL 158.573657 259.169357 \nL 155.834661 259.399741 \nL 153.122991 259.409057 \nL 150.439842 259.19836 \nL 147.786563 258.769348 \nL 145.164669 258.124387 \nL 142.575852 257.266426 \nL 140.021994 256.199033 \nL 137.505163 254.926372 \nL 135.027675 253.453161 \nL 132.59205 251.78467 \nL 129.610623 249.433289 \nL 126.704863 246.798194 \nL 123.881287 243.892828 \nL 121.147019 240.7316 \nL 118.50977 237.329812 \nL 115.977858 233.703502 \nL 113.560156 229.869364 \nL 111.26605 225.8446 \nL 109.105442 221.646792 \nL 107.088691 217.293822 \nL 105.226511 212.803693 \nL 103.529979 208.194453 \nL 102.010404 203.484062 \nL 100.679254 198.690289 \nL 99.548088 193.830606 \nL 98.628454 188.922079 \nL 97.931786 183.981304 \nL 97.469265 179.024304 \nL 97.251799 174.066464 \nL 97.289804 169.122462 \nL 97.593147 164.206215 \nL 98.033064 160.302042 \nL 98.653059 156.430369 \nL 99.457112 152.597169 \nL 100.448834 148.808056 \nL 101.631394 145.068277 \nL 103.0075 141.382718 \nL 104.579372 137.755895 \nL 106.34869 134.191967 \nL 108.316597 130.694738 \nL 110.483664 127.267662 \nL 112.849847 123.913857 \nL 115.414482 120.636117 \nL 118.176276 117.436921 \nL 121.133253 114.318462 \nL 124.282822 111.282641 \nL 127.621667 108.331118 \nL 131.145827 105.465298 \nL 134.850643 102.686371 \nL 139.727523 99.336408 \nL 144.866397 96.125321 \nL 150.253738 93.054329 \nL 155.87445 90.124348 \nL 161.711901 87.336087 \nL 167.747999 84.690117 \nL 173.963254 82.186921 \nL 180.33689 79.826959 \nL 188.163292 77.18481 \nL 196.146013 74.750716 \nL 204.243055 72.526079 \nL 212.410782 70.512699 \nL 220.604266 68.712841 \nL 228.77766 67.129322 \nL 236.884575 65.765516 \nL 244.878485 64.625364 \nL 252.713125 63.713311 \nL 260.342898 63.034317 \nL 267.723291 62.593749 \nL 274.811275 62.397256 \nL 281.565679 62.450701 \nL 286.911385 62.690428 \nL 291.977227 63.111204 \nL 296.743442 63.716313 \nL 301.191798 64.508857 \nL 305.305666 65.491729 \nL 308.345861 66.416773 \nL 311.155626 67.46641 \nL 313.728938 68.641587 \nL 316.060557 69.943083 \nL 318.146035 71.371457 \nL 319.981725 72.927018 \nL 321.564858 74.609828 \nL 322.893401 76.419684 \nL 323.966211 78.356086 \nL 324.782897 80.418222 \nL 325.343907 82.604987 \nL 325.650463 84.914931 \nL 325.704532 87.346285 \nL 325.508835 89.896922 \nL 325.066815 92.564371 \nL 324.382552 95.345813 \nL 323.460814 98.238064 \nL 322.306941 101.237589 \nL 320.547216 105.131885 \nL 318.446749 109.179312 \nL 316.019328 113.370658 \nL 313.279772 117.695885 \nL 309.602333 123.047556 \nL 305.526253 128.556193 \nL 301.08087 134.200143 \nL 295.467887 140.924981 \nL 289.441274 147.763912 \nL 283.049107 154.676245 \nL 276.338647 161.619625 \nL 269.355772 168.550396 \nL 262.144461 175.423987 \nL 254.746383 182.195336 \nL 247.200529 188.819305 \nL 239.543003 195.251147 \nL 231.806861 201.446957 \nL 224.022059 207.364153 \nL 217.331107 212.183285 \nL 210.639404 216.743296 \nL 203.960622 221.021208 \nL 197.307029 224.995685 \nL 191.789565 228.061819 \nL 186.302978 230.893398 \nL 180.852529 233.48123 \nL 175.443063 235.817202 \nL 170.079083 237.894353 \nL 164.764822 239.706955 \nL 159.504324 241.250498 \nL 154.301497 242.521734 \nL 149.160229 243.51875 \nL 144.08444 244.240907 \nL 139.078132 244.688879 \nL 134.145497 244.864693 \nL 129.290947 244.771627 \nL 124.519216 244.414224 \nL 119.835352 243.798284 \nL 115.244796 242.930785 \nL 110.753461 241.81983 \nL 106.367704 240.474577 \nL 102.094406 238.905192 \nL 97.940921 237.122789 \nL 93.91516 235.139297 \nL 90.02555 232.967371 \nL 86.281019 230.620329 \nL 82.691002 228.112058 \nL 79.265421 225.456869 \nL 76.014614 222.669432 \nL 72.949328 219.764642 \nL 70.080607 216.757545 \nL 67.419804 213.663195 \nL 64.978469 210.496587 \nL 62.768274 207.272522 \nL 60.800962 204.005555 \nL 59.088183 200.709855 \nL 57.641497 197.399149 \nL 56.4722 194.086641 \nL 55.591269 190.784911 \nL 55.10125 188.159323 \nL 54.807694 185.554032 \nL 54.71554 182.974487 \nL 54.829372 180.425803 \nL 55.153502 177.912743 \nL 55.691907 175.439717 \nL 56.448144 173.010768 \nL 57.425403 170.629571 \nL 58.626451 168.299428 \nL 60.053528 166.023264 \nL 61.708488 163.803633 \nL 63.592621 161.642721 \nL 65.706705 159.542347 \nL 68.051004 157.503983 \nL 70.625232 155.528752 \nL 73.428507 153.617452 \nL 77.252478 151.318932 \nL 81.428018 149.121323 \nL 85.949618 147.024243 \nL 90.810371 145.026708 \nL 96.001953 143.127194 \nL 101.514589 141.323716 \nL 108.537824 139.282947 \nL 115.985553 137.37238 \nL 123.833306 135.586917 \nL 133.45841 133.654899 \nL 143.543993 131.877466 \nL 154.038789 130.246549 \nL 166.463132 128.552751 \nL 179.262409 127.031827 \nL 193.994502 125.519529 \nL 208.946469 124.213472 \nL 223.976132 123.114696 \nL 238.938521 122.230108 \nL 253.687777 121.572472 \nL 268.079137 121.160092 \nL 280.456408 121.018088 \nL 292.342849 121.107116 \nL 302.268637 121.390846 \nL 311.690367 121.881987 \nL 319.323747 122.479284 \nL 326.51533 123.249046 \nL 333.23608 124.200106 \nL 338.458041 125.137108 \nL 343.321183 126.21009 \nL 347.813398 127.422929 \nL 351.924179 128.778928 \nL 355.644596 130.28075 \nL 358.33492 131.588543 \nL 360.767794 132.991567 \nL 362.940945 134.490117 \nL 364.852793 136.084125 \nL 366.502447 137.773147 \nL 367.889713 139.55634 \nL 369.015036 141.432459 \nL 369.879537 143.399837 \nL 370.484966 145.45639 \nL 370.833701 147.599595 \nL 370.928702 149.826505 \nL 370.773492 152.133734 \nL 370.37214 154.51747 \nL 369.729232 156.973473 \nL 368.849798 159.497087 \nL 367.73935 162.083249 \nL 366.035398 165.395552 \nL 363.991961 168.785533 \nL 361.622074 172.240822 \nL 358.939388 175.748243 \nL 355.95807 179.293867 \nL 352.692673 182.863105 \nL 349.158017 186.440786 \nL 344.582074 190.723062 \nL 339.665857 194.967123 \nL 334.435035 199.144593 \nL 328.91491 203.226796 \nL 323.130122 207.185022 \nL 317.10452 210.990804 \nL 311.915785 214.025655 \nL 306.588423 216.91946 \nL 301.134579 219.656959 \nL 295.565821 222.223497 \nL 289.893144 224.605125 \nL 284.126981 226.788706 \nL 278.277181 228.76204 \nL 272.353081 230.513882 \nL 266.363489 232.034091 \nL 260.316769 233.313704 \nL 254.220851 234.344956 \nL 248.083315 235.1214 \nL 241.91143 235.63788 \nL 235.71225 235.89067 \nL 229.492658 235.877404 \nL 223.259455 235.597161 \nL 217.019431 235.050455 \nL 210.779442 234.239218 \nL 204.546487 233.166786 \nL 198.327781 231.837908 \nL 192.130831 230.258666 \nL 185.963496 228.436483 \nL 179.834055 226.379992 \nL 173.751268 224.099059 \nL 167.724423 221.604639 \nL 161.763375 218.908748 \nL 155.878571 216.024349 \nL 150.081114 212.965268 \nL 143.255988 209.084384 \nL 136.595002 204.999462 \nL 130.120908 200.73807 \nL 123.857711 196.328635 \nL 117.83056 191.800147 \nL 112.065575 187.181901 \nL 106.589709 182.50322 \nL 101.430552 177.793196 \nL 96.616071 173.080425 \nL 92.174358 168.392757 \nL 88.133287 163.757069 \nL 85.091611 159.952267 \nL 82.362665 156.215543 \nL 79.961381 152.560271 \nL 77.90204 148.99901 \nL 76.198088 145.543441 \nL 75.099279 142.862342 \nL 74.241889 140.260847 \nL 73.631384 137.743607 \nL 73.272702 135.314853 \nL 73.170235 132.978392 \nL 73.327778 130.7376 \nL 73.748498 128.595427 \nL 74.434933 126.554387 \nL 75.388959 124.616571 \nL 76.611731 122.783648 \nL 78.103705 121.056875 \nL 79.864585 119.437102 \nL 81.893386 117.924795 \nL 84.188315 116.520044 \nL 86.746879 115.222582 \nL 89.565818 114.031799 \nL 92.641132 112.946774 \nL 96.838522 111.737343 \nL 101.418215 110.688269 \nL 106.367692 109.796018 \nL 111.672798 109.056539 \nL 118.486102 108.364518 \nL 125.758772 107.877727 \nL 133.457992 107.58738 \nL 141.548389 107.48444 \nL 151.431216 107.589098 \nL 161.731921 107.922373 \nL 172.384311 108.470832 \nL 184.901131 109.345274 \nL 197.682928 110.468273 \nL 210.623447 111.826203 \nL 223.616305 113.408482 \nL 236.556268 115.207713 \nL 249.340476 117.219677 \nL 260.320694 119.153621 \nL 271.041859 121.250348 \nL 281.4435 123.51209 \nL 291.468858 125.942155 \nL 299.722508 128.162089 \nL 307.630442 130.511415 \nL 315.164751 132.992935 \nL 322.300241 135.609262 \nL 327.925634 137.894151 \nL 333.247147 140.275243 \nL 338.254821 142.753205 \nL 342.940194 145.328288 \nL 347.296271 148.000246 \nL 351.317504 150.768279 \nL 354.290591 153.050945 \nL 357.045285 155.393165 \nL 359.580764 157.793606 \nL 361.896708 160.250631 \nL 363.993391 162.762277 \nL 365.871624 165.326252 \nL 367.532723 167.93992 \nL 368.978483 170.600302 \nL 370.21119 173.304066 \nL 371.233577 176.047527 \nL 372.048789 178.826649 \nL 372.660358 181.637047 \nL 373.072205 184.473991 \nL 373.288562 187.332414 \nL 373.313967 190.206931 \nL 373.153223 193.09184 \nL 372.698191 196.703418 \nL 371.970469 200.309497 \nL 370.980713 203.897129 \nL 369.739888 207.4528 \nL 368.259119 210.962505 \nL 366.549679 214.41184 \nL 364.622841 217.786087 \nL 362.489731 221.070309 \nL 360.161405 224.24944 \nL 357.64861 227.308383 \nL 354.961842 230.232116 \nL 352.111186 233.005787 \nL 349.106349 235.614855 \nL 345.956534 238.04515 \nL 342.670477 240.282991 \nL 339.256376 242.315287 \nL 335.721869 244.12966 \nL 332.074089 245.714507 \nL 328.319577 247.059105 \nL 324.464324 248.153685 \nL 320.513819 248.98948 \nL 317.288165 249.466632 \nL 314.007048 249.769864 \nL 310.672593 249.896299 \nL 307.286767 249.843536 \nL 303.851371 249.609715 \nL 299.489961 249.060813 \nL 295.056703 248.225488 \nL 290.554369 247.103596 \nL 285.98556 245.696282 \nL 281.352792 244.006024 \nL 276.658535 242.03655 \nL 271.905292 239.792856 \nL 267.095721 237.281149 \nL 262.232639 234.508807 \nL 257.319155 231.484312 \nL 251.361306 227.535588 \nL 245.342587 223.255936 \nL 239.270768 218.665585 \nL 233.154798 213.786451 \nL 225.9775 207.760438 \nL 218.773012 201.412609 \nL 211.563101 194.784232 \nL 203.348576 186.92028 \nL 195.20169 178.811105 \nL 187.170026 170.522965 \nL 178.338139 161.067483 \nL 170.73289 152.618467 \nL 163.423576 144.194666 \nL 156.476243 135.857981 \nL 149.959416 127.667582 \nL 144.665263 120.665016 \nL 139.801086 113.852415 \nL 136.009084 108.189098 \nL 132.595223 102.708498 \nL 129.586624 97.42823 \nL 127.407546 93.192692 \nL 125.541546 89.115949 \nL 124.001402 85.205708 \nL 122.798714 81.468895 \nL 122.086484 78.608472 \nL 121.601445 75.865788 \nL 121.347563 73.243286 \nL 121.328155 70.743154 \nL 121.545838 68.367233 \nL 122.002522 66.117083 \nL 122.699362 63.993944 \nL 123.636764 61.998815 \nL 124.814327 60.132396 \nL 126.23088 58.395132 \nL 127.88445 56.787233 \nL 129.77227 55.308655 \nL 131.890757 53.959187 \nL 134.235553 52.738376 \nL 136.80152 51.645594 \nL 139.58274 50.680078 \nL 142.57256 49.840901 \nL 146.591872 48.967973 \nL 150.909612 48.288554 \nL 155.508245 47.800173 \nL 160.36874 47.500235 \nL 165.470706 47.386066 \nL 171.881261 47.490494 \nL 178.568865 47.853954 \nL 185.492154 48.471976 \nL 192.608261 49.340396 \nL 199.87319 50.455371 \nL 207.24224 51.813456 \nL 214.670417 53.411649 \nL 222.112843 55.247391 \nL 229.525161 57.318573 \nL 236.863919 59.623496 \nL 244.086952 62.160841 \nL 249.988452 64.452038 \nL 255.758991 66.903365 \nL 261.377227 69.514355 \nL 266.822997 72.284519 \nL 272.077435 75.2133 \nL 277.123051 78.300046 \nL 281.943815 81.543855 \nL 286.525235 84.943611 \nL 290.009298 87.774738 \nL 293.325985 90.703838 \nL 296.470106 93.729802 \nL 299.437138 96.85133 \nL 302.223223 100.066885 \nL 304.825194 103.374695 \nL 307.240553 106.772723 \nL 309.467469 110.258642 \nL 311.504749 113.829833 \nL 313.351837 117.483352 \nL 315.008809 121.215936 \nL 316.476338 125.02397 \nL 317.755648 128.903494 \nL 318.848535 132.850186 \nL 319.757284 136.859352 \nL 320.484686 140.925928 \nL 321.033988 145.044477 \nL 321.475791 150.256867 \nL 321.653057 155.529201 \nL 321.574611 160.84843 \nL 321.249979 166.200646 \nL 320.689324 171.571116 \nL 319.903256 176.944326 \nL 318.902776 182.304039 \nL 317.699155 187.633366 \nL 316.303817 192.914821 \nL 314.728218 198.130424 \nL 312.615643 204.2763 \nL 310.279422 210.268483 \nL 307.73854 216.074238 \nL 305.011326 221.660714 \nL 302.115268 226.995277 \nL 299.584877 231.225102 \nL 296.957763 235.239483 \nL 294.242395 239.020761 \nL 291.446677 242.55195 \nL 288.577938 245.816827 \nL 285.642931 248.800071 \nL 282.647812 251.487389 \nL 279.598167 253.865621 \nL 277.122599 255.53761 \nL 274.617705 256.998617 \nL 272.085622 258.243719 \nL 269.52827 259.268613 \nL 266.947411 260.069587 \nL 264.344631 260.643568 \nL 261.721368 260.988157 \nL 259.078923 261.101627 \nL 256.418484 260.982932 \nL 253.741137 260.631693 \nL 251.047898 260.048218 \nL 248.339721 259.233517 \nL 245.617518 258.189247 \nL 242.882192 256.917754 \nL 240.134648 255.422032 \nL 237.375814 253.705711 \nL 233.912886 251.256642 \nL 230.435901 248.479172 \nL 226.94714 245.384256 \nL 223.449163 241.98415 \nL 219.944873 238.292307 \nL 215.736058 233.49748 \nL 211.529456 228.330381 \nL 207.332629 222.819658 \nL 203.15425 216.995363 \nL 198.316018 209.845733 \nL 193.534171 202.362773 \nL 188.828856 194.598397 \nL 184.222571 186.604838 \nL 179.111395 177.255411 \nL 174.20239 167.750942 \nL 170.107084 159.365728 \nL 166.230842 150.966462 \nL 162.605798 142.598831 \nL 159.264855 134.306076 \nL 156.652468 127.288411 \nL 154.293968 120.379451 \nL 152.209771 113.601415 \nL 150.419604 106.97484 \nL 149.166008 101.582037 \nL 148.139911 96.317492 \nL 147.350848 91.190364 \nL 146.807537 86.20898 \nL 146.517777 81.380842 \nL 146.488336 76.712662 \nL 146.724856 72.210396 \nL 147.108577 68.731553 \nL 147.667042 65.364568 \nL 148.401379 62.11147 \nL 149.312117 58.974046 \nL 150.399207 55.95382 \nL 151.661984 53.052076 \nL 153.099152 50.269859 \nL 154.708812 47.607993 \nL 156.488385 45.067133 \nL 158.434682 42.647748 \nL 160.543868 40.350131 \nL 162.811482 38.17444 \nL 165.232437 36.120695 \nL 167.801028 34.188805 \nL 170.51096 32.378595 \nL 174.086611 30.28653 \nL 177.857693 28.383529 \nL 181.808304 26.668855 \nL 185.921355 25.141721 \nL 190.178685 23.80133 \nL 194.561158 22.646894 \nL 199.048792 21.677721 \nL 203.620885 20.893175 \nL 208.256151 20.292785 \nL 212.932855 19.876189 \nL 218.568563 19.618644 \nL 224.193859 19.625516 \nL 228.846015 19.83346 \nL 233.442377 20.225649 \nL 237.961336 20.802624 \nL 242.381768 21.565066 \nL 246.683181 22.513782 \nL 250.845847 23.649674 \nL 254.850928 24.973717 \nL 258.680595 26.486868 \nL 262.318142 28.1901 \nL 265.748079 30.084352 \nL 268.332973 31.737823 \nL 270.769284 33.514408 \nL 273.050973 35.414381 \nL 275.17262 37.437919 \nL 277.129431 39.585085 \nL 278.917242 41.855816 \nL 280.532539 44.249926 \nL 281.972444 46.767035 \nL 283.234747 49.40662 \nL 284.317875 52.167946 \nL 285.220908 55.050074 \nL 285.943519 58.051853 \nL 286.486035 61.171902 \nL 286.84937 64.408556 \nL 287.035011 67.759936 \nL 287.020364 72.107163 \nL 286.736487 76.625379 \nL 286.189769 81.309008 \nL 285.387706 86.151727 \nL 284.338827 91.146456 \nL 283.052571 96.285337 \nL 281.210176 102.630039 \nL 279.059704 109.153351 \nL 276.621244 115.837143 \nL 273.915777 122.661648 \nL 270.45062 130.772782 \nL 266.685909 139.009566 \nL 262.656186 147.332538 \nL 257.769848 156.895966 \nL 252.630769 166.450388 \nL 247.2854 175.925766 \nL 241.77698 185.249252 \nL 236.145062 194.345962 \nL 230.42516 203.139849 \nL 225.372783 210.526179 \nL 220.295385 217.571785 \nL 215.208856 224.227256 \nL 210.852058 229.585198 \nL 206.505856 234.592724 \nL 202.176481 239.222683 \nL 198.585366 242.774196 \nL 195.012254 246.032307 \nL 191.45943 248.984556 \nL 187.928907 251.619686 \nL 184.422475 253.927745 \nL 180.941779 255.900132 \nL 178.1768 257.231543 \nL 175.430069 258.340593 \nL 172.702384 259.224971 \nL 169.99457 259.882995 \nL 167.307504 260.313645 \nL 164.642152 260.516576 \nL 161.999563 260.492125 \nL 159.380888 260.241257 \nL 156.787435 259.765611 \nL 154.220639 259.067515 \nL 151.682119 258.149892 \nL 149.173651 257.016311 \nL 146.697227 255.670961 \nL 144.255034 254.118588 \nL 141.849474 252.364523 \nL 138.898077 249.897308 \nL 136.013692 247.136691 \nL 133.202573 244.09638 \nL 130.471546 240.791049 \nL 127.828025 237.23633 \nL 125.280015 233.44864 \nL 122.836096 229.445046 \nL 120.505368 225.243192 \nL 118.297483 220.861112 \nL 116.222501 216.317158 \nL 114.290919 211.629836 \nL 112.513575 206.817709 \nL 110.901606 201.899264 \nL 109.466342 196.892813 \nL 108.219206 191.816398 \nL 107.171687 186.687644 \nL 106.335187 181.523724 \nL 105.720908 176.341235 \nL 105.339783 171.156145 \nL 105.202352 165.983715 \nL 105.318608 160.838447 \nL 105.697984 155.734035 \nL 106.196784 151.688586 \nL 106.873569 147.683703 \nL 107.732011 143.725199 \nL 108.775356 139.818521 \nL 110.006382 135.968743 \nL 111.427389 132.180577 \nL 113.04017 128.458361 \nL 114.84596 124.806086 \nL 116.845412 121.227383 \nL 119.038617 117.725546 \nL 121.425014 114.303535 \nL 124.003415 110.964004 \nL 126.772001 107.709298 \nL 129.728257 104.541481 \nL 132.869022 101.462355 \nL 136.190449 98.473478 \nL 139.688003 95.57618 \nL 144.29963 92.085032 \nL 149.166631 88.740524 \nL 154.27572 85.544093 \nL 159.612046 82.496866 \nL 165.159239 79.599731 \nL 170.89944 76.853398 \nL 176.81343 74.258482 \nL 182.880679 71.81555 \nL 189.079473 69.525177 \nL 196.659493 66.979012 \nL 204.354858 64.654792 \nL 212.122706 62.554181 \nL 219.918867 60.679226 \nL 227.698231 59.032459 \nL 235.415138 57.616882 \nL 243.023779 56.435993 \nL 250.478605 55.493751 \nL 257.734744 54.794583 \nL 264.748407 54.343273 \nL 271.4773 54.144858 \nL 277.880992 54.204564 \nL 282.941386 54.455308 \nL 287.728689 54.892006 \nL 292.223586 55.517564 \nL 296.408267 56.334762 \nL 300.266579 57.346115 \nL 303.108465 58.296522 \nL 305.725614 59.373647 \nL 308.112223 60.578323 \nL 310.263272 61.911204 \nL 312.174531 63.372743 \nL 313.842588 64.963178 \nL 315.264817 66.682501 \nL 316.439442 68.530455 \nL 317.365467 70.506517 \nL 318.042699 72.609882 \nL 318.471777 74.839451 \nL 318.65405 77.193825 \nL 318.591669 79.671287 \nL 318.28748 82.269807 \nL 317.74505 84.987018 \nL 316.968598 87.820231 \nL 315.962961 90.766413 \nL 314.391969 94.602858 \nL 312.48326 98.603238 \nL 310.249855 102.759445 \nL 307.70588 107.062566 \nL 304.264362 112.406551 \nL 300.424716 117.929929 \nL 296.215606 123.613029 \nL 290.877435 130.416975 \nL 285.124283 137.373822 \nL 279.004069 144.445642 \nL 271.620802 152.617305 \nL 263.888808 160.824976 \nL 255.873944 169.004474 \nL 247.638176 177.090181 \nL 239.238891 185.015784 \nL 230.728409 192.715056 \nL 223.227598 199.214908 \nL 215.705787 205.448811 \nL 208.187921 211.375603 \nL 201.763882 216.181469 \nL 195.371059 220.709532 \nL 189.020199 224.937954 \nL 182.720769 228.846587 \nL 176.481126 232.417176 \nL 171.332442 235.122648 \nL 166.234272 237.573825 \nL 161.19016 239.763596 \nL 156.203427 241.686037 \nL 151.27724 243.336399 \nL 146.414675 244.711213 \nL 141.618808 245.808255 \nL 136.892782 246.626622 \nL 132.239874 247.166668 \nL 127.663571 247.430058 \nL 123.1676 247.419732 \nL 118.756025 247.139888 \nL 114.433278 246.595963 \nL 110.204217 245.794555 \nL 106.074136 244.743368 \nL 102.048832 243.451242 \nL 98.134605 241.927987 \nL 94.33827 240.184337 \nL 90.6672 238.231884 \nL 87.129296 236.082974 \nL 83.732975 233.750606 \nL 80.487152 231.248366 \nL 77.401263 228.590291 \nL 74.485149 225.790809 \nL 71.749069 222.864592 \nL 69.203608 219.826464 \nL 66.859698 216.691307 \nL 64.728417 213.47396 \nL 62.821017 210.189113 \nL 61.14885 206.851224 \nL 59.723202 203.474396 \nL 58.555254 200.072329 \nL 57.655983 196.658222 \nL 57.036057 193.244687 \nL 56.74816 190.522349 \nL 56.650667 187.813872 \nL 56.748366 185.12477 \nL 57.045764 182.460232 \nL 57.54709 179.825119 \nL 58.256222 177.223948 \nL 59.176679 174.660889 \nL 60.311606 172.139751 \nL 61.663714 169.663991 \nL 63.235254 167.236703 \nL 65.028033 164.860626 \nL 67.043355 162.538142 \nL 69.282008 160.271291 \nL 71.74429 158.06177 \nL 74.429914 155.910948 \nL 77.338058 153.819879 \nL 81.283979 151.291193 \nL 85.571385 148.857882 \nL 90.194846 146.520161 \nL 95.147559 144.277675 \nL 100.421256 142.129557 \nL 106.006255 140.07451 \nL 113.103489 137.728949 \nL 120.611243 135.511618 \nL 128.505057 133.418739 \nL 136.757804 131.446351 \nL 146.799997 129.292254 \nL 157.239231 127.29086 \nL 168.02042 125.43699 \nL 180.685105 123.493756 \nL 193.627132 121.734111 \nL 206.749505 120.157101 \nL 221.602565 118.604227 \nL 236.410146 117.293877 \nL 251.02393 116.23999 \nL 263.731582 115.533911 \nL 276.066775 115.062192 \nL 287.929971 114.8439 \nL 297.847882 114.877185 \nL 307.270531 115.135204 \nL 314.9096 115.546581 \nL 322.109484 116.143382 \nL 328.839426 116.934581 \nL 334.068464 117.748511 \nL 338.937095 118.707787 \nL 343.432317 119.816417 \nL 347.542686 121.077874 \nL 350.547306 122.199008 \nL 353.295141 123.420924 \nL 355.782736 124.744445 \nL 358.00728 126.17006 \nL 359.966749 127.697909 \nL 361.659793 129.327764 \nL 363.085785 131.059002 \nL 364.244814 132.890604 \nL 365.137671 134.821134 \nL 365.76583 136.848739 \nL 366.131406 138.971134 \nL 366.237154 141.185605 \nL 366.086449 143.488999 \nL 365.683234 145.877733 \nL 365.032025 148.347792 \nL 364.137819 150.894737 \nL 363.00615 153.513714 \nL 361.64294 156.199464 \nL 359.623034 159.641907 \nL 357.264443 163.16797 \nL 354.581083 166.764931 \nL 351.587484 170.419275 \nL 348.298672 174.116761 \nL 343.984065 178.589672 \nL 339.293467 183.076424 \nL 334.254031 187.549296 \nL 328.892843 191.979845 \nL 323.236568 196.339196 \nL 317.311375 200.598285 \nL 311.142568 204.728137 \nL 304.754541 208.700161 \nL 298.170588 212.486393 \nL 292.550322 215.480123 \nL 286.821558 218.310998 \nL 280.995849 220.964677 \nL 275.084142 223.427593 \nL 269.09678 225.687046 \nL 263.043557 227.731338 \nL 256.933705 229.549793 \nL 250.775963 231.132878 \nL 244.578623 232.472295 \nL 238.349577 233.560985 \nL 232.096388 234.393203 \nL 225.826351 234.964581 \nL 219.546564 235.272152 \nL 213.264007 235.31435 \nL 206.985616 235.091059 \nL 200.718356 234.603599 \nL 194.4693 233.854689 \nL 188.245705 232.848455 \nL 182.055071 231.590396 \nL 175.905233 230.087341 \nL 169.804398 228.347384 \nL 163.76122 226.379855 \nL 157.784834 224.195202 \nL 151.884904 221.80498 \nL 146.071663 219.221696 \nL 140.355928 216.458758 \nL 134.749114 213.530376 \nL 129.263226 210.451453 \nL 122.857591 206.579881 \nL 116.667152 202.541537 \nL 110.715845 198.364793 \nL 105.028585 194.07849 \nL 99.631107 189.71162 \nL 94.549779 185.293082 \nL 89.811388 180.851387 \nL 85.442861 176.414429 \nL 82.104312 172.740094 \nL 79.056588 169.10287 \nL 76.314676 165.517185 \nL 73.893132 161.996761 \nL 71.805939 158.554545 \nL 70.06636 155.202639 \nL 68.933388 152.593697 \nL 68.036804 150.055041 \nL 67.382119 147.591567 \nL 66.974388 145.207755 \nL 66.818091 142.907664 \nL 66.917232 140.694921 \nL 67.275216 138.572724 \nL 67.894834 136.54383 \nL 68.778258 134.610568 \nL 69.927031 132.774836 \nL 71.342 131.038107 \nL 73.023326 129.401442 \nL 74.970469 127.865501 \nL 77.182162 126.430552 \nL 79.656471 125.096488 \nL 82.390723 123.862852 \nL 85.381531 122.728843 \nL 89.474521 121.449717 \nL 93.952411 120.321711 \nL 98.804028 119.341386 \nL 104.016602 118.504757 \nL 110.727862 117.684178 \nL 117.910664 117.05568 \nL 125.53468 116.61029 \nL 134.942906 116.309643 \nL 144.850435 116.230528 \nL 155.197195 116.358149 \nL 167.478722 116.739027 \nL 180.15301 117.351987 \nL 194.754751 118.297787 \nL 209.578199 119.495792 \nL 224.475526 120.931286 \nL 239.300205 122.595147 \nL 252.300817 124.262869 \nL 265.033591 126.109192 \nL 277.405574 128.138103 \nL 287.865977 130.068232 \nL 297.927825 132.148658 \nL 307.540054 134.385713 \nL 315.385658 136.432923 \nL 322.839721 138.604345 \nL 329.87814 140.903983 \nL 335.410476 142.920893 \nL 340.628413 145.0311 \nL 345.52246 147.235988 \nL 350.084568 149.536494 \nL 354.308095 151.933032 \nL 358.187804 154.42543 \nL 361.719922 157.012865 \nL 364.29367 159.150237 \nL 366.642794 161.346343 \nL 368.767225 163.599729 \nL 370.667491 165.908611 \nL 372.344575 168.270857 \nL 373.799996 170.683983 \nL 375.035744 173.14515 \nL 376.054278 175.651152 \nL 376.858468 178.198426 \nL 377.451629 180.783049 \nL 377.837453 183.400738 \nL 378.019944 186.046872 \nL 378.003468 188.716476 \nL 377.79268 191.404256 \nL 377.39246 194.104601 \nL 376.633684 197.48866 \nL 375.597394 200.870934 \nL 374.294439 204.238636 \nL 372.735899 207.578424 \nL 370.933058 210.876484 \nL 368.897259 214.118593 \nL 366.639889 217.290231 \nL 364.172223 220.376655 \nL 361.505338 223.363003 \nL 358.650108 226.234393 \nL 355.617099 228.976033 \nL 352.416507 231.573313 \nL 349.058111 234.011906 \nL 345.551238 236.277899 \nL 341.904716 238.35784 \nL 338.126891 240.238915 \nL 334.225573 241.908973 \nL 330.208009 243.356679 \nL 326.08097 244.571539 \nL 321.850674 245.544006 \nL 317.522816 246.265579 \nL 313.102655 246.728836 \nL 308.595004 246.927498 \nL 304.004277 246.85651 \nL 299.334539 246.51201 \nL 294.589563 245.891411 \nL 289.772881 244.99343 \nL 284.887849 243.818068 \nL 279.937726 242.366616 \nL 274.92573 240.641651 \nL 269.855115 238.647027 \nL 264.729259 236.387809 \nL 259.551703 233.870302 \nL 254.326271 231.101935 \nL 249.057127 228.091256 \nL 242.682917 224.17219 \nL 236.261168 219.936507 \nL 229.801852 215.404512 \nL 223.31624 210.598181 \nL 215.733488 204.675445 \nL 208.155132 198.45073 \nL 200.607036 191.965392 \nL 193.118207 185.262239 \nL 184.673529 177.391047 \nL 176.40138 169.358942 \nL 168.359756 161.232372 \nL 160.611188 153.077131 \nL 153.222017 144.957596 \nL 147.105707 137.931299 \nL 141.365166 131.020041 \nL 136.04841 124.261875 \nL 131.864723 118.618253 \nL 128.057005 113.134633 \nL 124.653874 107.830729 \nL 122.14675 103.561283 \nL 119.954535 99.439007 \nL 118.091222 95.472815 \nL 116.569715 91.67081 \nL 115.606508 88.752333 \nL 114.87491 85.946958 \nL 114.379689 83.257696 \nL 114.124938 80.687209 \nL 114.114122 78.237838 \nL 114.349962 75.911599 \nL 114.834481 73.710165 \nL 115.568914 71.6349 \nL 116.55372 69.686866 \nL 117.788611 67.866835 \nL 119.272433 66.175275 \nL 121.003242 64.612408 \nL 122.978283 63.17818 \nL 125.193983 61.872318 \nL 127.645975 60.694316 \nL 130.329078 59.643475 \nL 133.237331 58.718901 \nL 137.178975 57.739145 \nL 141.447139 56.952686 \nL 146.02538 56.356893 \nL 150.895623 55.948914 \nL 156.038298 55.725756 \nL 161.432465 55.68431 \nL 168.206089 55.870026 \nL 175.269408 56.307521 \nL 182.580085 56.991607 \nL 190.094268 57.91736 \nL 197.766995 59.080227 \nL 205.552591 60.476091 \nL 213.405099 62.101321 \nL 221.278676 63.952782 \nL 229.128002 66.027825 \nL 236.908664 68.324318 \nL 244.577529 70.840515 \nL 252.093098 73.575043 \nL 258.210385 76.019764 \nL 264.172034 78.614751 \nL 269.957554 81.359415 \nL 275.547772 84.253162 \nL 280.924898 87.295284 \nL 286.072609 90.484882 \nL 290.976112 93.820831 \nL 295.622211 97.301706 \nL 299.14592 100.189547 \nL 302.492277 103.167858 \nL 305.656801 106.235308 \nL 308.635673 109.390337 \nL 311.42576 112.63114 \nL 314.024621 115.955643 \nL 316.430444 119.361489 \nL 318.642079 122.846026 \nL 320.659025 126.406278 \nL 322.481394 130.038953 \nL 324.109873 133.7404 \nL 325.545731 137.506631 \nL 326.790787 141.333291 \nL 327.84736 145.215667 \nL 328.718287 149.148675 \nL 329.406827 153.126863 \nL 329.91666 157.144411 \nL 330.308887 162.212248 \nL 330.436966 167.319048 \nL 330.310362 172.451122 \nL 329.939104 177.593976 \nL 329.333755 182.732365 \nL 328.505281 187.850345 \nL 327.464908 192.93135 \nL 326.224061 197.958258 \nL 324.794205 202.913481 \nL 323.186798 207.779058 \nL 321.41317 212.536752 \nL 319.484468 217.168154 \nL 317.411499 221.654807 \nL 315.20478 225.978309 \nL 312.874384 230.120444 \nL 310.429916 234.063323 \nL 307.880476 237.789447 \nL 305.234624 241.281892 \nL 302.500344 244.524426 \nL 299.685046 247.501604 \nL 296.795527 250.19892 \nL 293.838013 252.602887 \nL 291.426839 254.306499 \nL 288.978375 255.808678 \nL 286.495016 257.104205 \nL 283.978934 258.188415 \nL 281.432095 259.057233 \nL 278.856273 259.707207 \nL 276.253056 260.135492 \nL 273.623873 260.339884 \nL 270.970005 260.318843 \nL 268.292602 260.071482 \nL 265.592691 259.597571 \nL 262.871214 258.897545 \nL 260.129031 257.97251 \nL 257.366956 256.824202 \nL 254.58577 255.45502 \nL 251.786239 253.867977 \nL 248.26221 251.583422 \nL 244.712319 248.972574 \nL 241.138297 246.045219 \nL 237.542078 242.812418 \nL 233.925872 239.286462 \nL 229.563637 234.687269 \nL 225.181406 229.710313 \nL 220.785233 224.382459 \nL 215.648279 217.761135 \nL 210.51533 210.748261 \nL 205.401972 203.392878 \nL 199.605351 194.631771 \nL 193.888846 185.564719 \nL 188.287637 176.26744 \nL 182.84103 166.814601 \nL 177.592129 157.278919 \nL 172.587394 147.730378 \nL 167.875986 138.235572 \nL 164.03427 130.021037 \nL 160.491165 121.934874 \nL 157.281655 114.013521 \nL 154.822341 107.380472 \nL 152.654593 100.912585 \nL 150.798626 94.627588 \nL 149.503955 89.541462 \nL 148.449331 84.601988 \nL 147.644181 79.816828 \nL 147.097023 75.19286 \nL 146.815329 70.736211 \nL 146.805416 66.452303 \nL 146.996648 63.152702 \nL 147.367106 59.96875 \nL 147.918237 56.902252 \nL 148.650893 53.954777 \nL 149.565319 51.127643 \nL 150.661132 48.421932 \nL 151.937321 45.838537 \nL 153.392228 43.378105 \nL 155.023548 41.041115 \nL 156.828316 38.827876 \nL 158.802922 36.738548 \nL 160.943093 34.773148 \nL 163.24395 32.931571 \nL 165.699954 31.213585 \nL 168.304978 29.618872 \nL 171.760508 27.798283 \nL 175.423958 26.168855 \nL 179.279639 24.729624 \nL 183.310657 23.479589 \nL 187.499 22.417731 \nL 191.825661 21.54305 \nL 196.270754 20.854607 \nL 200.813643 20.351597 \nL 205.433074 20.033301 \nL 210.107319 19.89917 \nL 215.757696 19.980759 \nL 221.416799 20.326614 \nL 226.111641 20.81666 \nL 230.763768 21.490394 \nL 235.351427 22.348142 \nL 239.853332 23.390376 \nL 244.2488 24.617704 \nL 248.517878 26.030811 \nL 252.641488 27.630429 \nL 256.601526 29.417349 \nL 260.380994 31.392304 \nL 263.964069 33.555986 \nL 267.336232 35.908987 \nL 269.873203 37.927983 \nL 272.260641 40.068542 \nL 274.493057 42.330665 \nL 276.565597 44.714255 \nL 278.47401 47.219072 \nL 280.214686 49.844717 \nL 281.784666 52.590634 \nL 283.181616 55.456043 \nL 284.403844 58.439995 \nL 285.450287 61.541296 \nL 286.320489 64.758538 \nL 287.014619 68.090037 \nL 287.53341 71.533846 \nL 287.878171 75.087759 \nL 288.067282 79.68113 \nL 287.992187 84.437027 \nL 287.658836 89.349114 \nL 287.074268 94.41028 \nL 286.246525 99.612599 \nL 285.184521 104.947321 \nL 283.897967 110.404856 \nL 282.072328 117.101268 \nL 279.957249 123.939862 \nL 277.572549 130.899316 \nL 274.938633 137.956633 \nL 271.578401 146.280923 \nL 267.940146 154.663114 \nL 264.056449 163.058857 \nL 259.959017 171.42145 \nL 255.678273 179.702169 \nL 251.243011 187.850657 \nL 246.680128 195.815365 \nL 242.014395 203.544025 \nL 237.268337 210.984211 \nL 232.462146 218.083895 \nL 228.308287 223.859624 \nL 224.133315 229.316486 \nL 219.945957 234.424508 \nL 215.75384 239.15513 \nL 212.261567 242.789676 \nL 208.773929 246.129146 \nL 205.293872 249.160247 \nL 201.824005 251.870891 \nL 198.366657 254.2503 \nL 195.611209 255.908987 \nL 192.866125 257.345526 \nL 190.132362 258.556401 \nL 187.410848 259.538751 \nL 184.702513 260.290371 \nL 182.008297 260.80973 \nL 179.32919 261.095986 \nL 176.666221 261.148961 \nL 174.020514 260.969188 \nL 171.393286 260.557879 \nL 168.785867 259.916921 \nL 166.199726 259.048873 \nL 163.636469 257.95695 \nL 161.097891 256.645022 \nL 158.585948 255.117551 \nL 156.102806 253.379631 \nL 153.65082 251.436884 \nL 150.633606 248.729916 \nL 147.674657 245.725816 \nL 144.780073 242.438915 \nL 141.956543 238.884558 \nL 139.211322 235.079033 \nL 136.552263 231.03936 \nL 133.987771 226.783259 \nL 131.526804 222.328974 \nL 128.723678 216.748472 \nL 126.100555 210.942124 \nL 123.675563 204.942895 \nL 121.467547 198.783705 \nL 119.807225 193.55237 \nL 118.322443 188.251138 \nL 117.024656 182.898168 \nL 115.925344 177.511138 \nL 115.035837 172.107157 \nL 114.367238 166.702694 \nL 113.930339 161.313507 \nL 113.735443 155.954583 \nL 113.792336 150.640094 \nL 114.110086 145.383356 \nL 114.557709 141.227935 \nL 115.181443 137.123401 \nL 115.984718 133.075332 \nL 116.970518 129.088931 \nL 118.141347 125.169024 \nL 119.499217 121.320072 \nL 121.045615 117.546171 \nL 122.781438 113.851056 \nL 124.707 110.238127 \nL 126.822028 106.710432 \nL 129.125595 103.27071 \nL 131.616152 99.921383 \nL 134.291475 96.664596 \nL 137.148682 93.502217 \nL 140.184202 90.435856 \nL 143.393808 87.466892 \nL 146.772579 84.596493 \nL 150.314919 81.825643 \nL 154.963271 78.503274 \nL 159.843723 75.338946 \nL 164.94107 72.333642 \nL 170.238616 69.48808 \nL 175.718231 66.802861 \nL 181.360464 64.278446 \nL 187.144621 61.915295 \nL 193.048878 59.713852 \nL 200.260298 57.286303 \nL 207.570616 55.093432 \nL 214.937223 53.136667 \nL 222.316389 51.417778 \nL 229.663639 49.938952 \nL 236.934155 48.702838 \nL 244.083171 47.712527 \nL 251.066406 46.971507 \nL 257.840447 46.483666 \nL 264.363182 46.253176 \nL 270.594173 46.284454 \nL 275.536064 46.513741 \nL 280.227743 46.930584 \nL 284.649591 47.537554 \nL 288.78341 48.337119 \nL 292.61256 49.331575 \nL 295.446375 50.268885 \nL 298.068692 51.333222 \nL 300.47336 52.525393 \nL 302.654994 53.846045 \nL 304.608969 55.295681 \nL 306.331466 56.874586 \nL 307.819444 58.582848 \nL 309.070668 60.420335 \nL 310.083697 62.386691 \nL 310.857868 64.481288 \nL 311.393317 66.703259 \nL 311.690927 69.051434 \nL 311.752342 71.524379 \nL 311.579936 74.120349 \nL 311.176772 76.837316 \nL 310.546584 79.672925 \nL 309.69375 82.624518 \nL 308.322234 86.472556 \nL 306.621575 90.490634 \nL 304.603949 94.671473 \nL 302.282655 99.007015 \nL 299.116387 104.401395 \nL 295.559578 109.989141 \nL 291.639766 115.752109 \nL 286.645933 122.670787 \nL 281.243145 129.767732 \nL 274.627692 138.050781 \nL 267.608293 146.462995 \nL 260.252393 154.944394 \nL 251.655108 164.49067 \nL 242.799925 173.953207 \nL 234.776214 182.218058 \nL 226.661432 190.275927 \nL 218.500375 198.060635 \nL 211.352568 204.597071 \nL 204.22256 210.832325 \nL 197.130366 216.725788 \nL 191.094549 221.476034 \nL 185.108513 225.924076 \nL 179.180345 230.04873 \nL 173.317036 233.830601 \nL 168.484885 236.707681 \nL 163.705099 239.325623 \nL 158.980497 241.676579 \nL 154.313686 243.753819 \nL 149.7071 245.551861 \nL 145.16316 247.066437 \nL 140.684247 248.294528 \nL 136.27285 249.234476 \nL 131.931592 249.885893 \nL 127.663314 250.249734 \nL 124.303322 250.335193 \nL 120.993786 250.239763 \nL 117.736599 249.96571 \nL 114.533813 249.515808 \nL 111.387703 248.893341 \nL 107.538487 247.878366 \nL 103.786879 246.608024 \nL 100.138654 245.091739 \nL 96.600133 243.339906 \nL 93.178165 241.363853 \nL 89.880183 239.175738 \nL 86.714167 236.788438 \nL 83.688647 234.215457 \nL 80.812642 231.470869 \nL 78.09569 228.569143 \nL 75.547703 225.525108 \nL 73.17905 222.353797 \nL 71.000378 219.070363 \nL 69.02265 215.689984 \nL 67.256979 212.227733 \nL 65.714652 208.698514 \nL 64.406895 205.116939 \nL 63.344959 201.497258 \nL 62.539912 197.853263 \nL 62.002524 194.19822 \nL 61.772401 191.274762 \nL 61.725432 188.358528 \nL 61.866579 185.455413 \nL 62.200507 182.571003 \nL 62.731607 179.710558 \nL 63.463959 176.879021 \nL 64.401281 174.080983 \nL 65.54691 171.320695 \nL 66.903786 168.602055 \nL 68.474423 165.928607 \nL 70.260856 163.303549 \nL 72.264619 160.729724 \nL 74.486773 158.209635 \nL 76.927834 155.745449 \nL 79.587756 153.339005 \nL 82.465967 150.99183 \nL 85.561266 148.705148 \nL 89.732977 145.933271 \nL 94.236385 143.258621 \nL 99.065273 140.68186 \nL 104.211955 138.203119 \nL 109.667264 135.822074 \nL 115.420576 133.538009 \nL 121.459818 131.349896 \nL 129.065289 128.849024 \nL 137.037137 126.482026 \nL 145.346742 124.246298 \nL 153.962904 122.139276 \nL 164.357548 119.840687 \nL 175.066345 117.711153 \nL 186.02837 115.748757 \nL 198.784048 113.710009 \nL 211.68659 111.890514 \nL 224.632509 110.294911 \nL 237.516024 108.930946 \nL 250.230297 107.809506 \nL 262.668734 106.944438 \nL 273.243479 106.410719 \nL 283.458056 106.098321 \nL 293.246339 106.02066 \nL 302.545318 106.191781 \nL 310.081427 106.547267 \nL 317.179775 107.104892 \nL 323.808313 107.873201 \nL 328.952103 108.680211 \nL 333.734193 109.64337 \nL 338.141011 110.766466 \nL 342.160679 112.052774 \nL 345.090786 113.201149 \nL 347.762222 114.456737 \nL 350.171337 115.820284 \nL 352.315275 117.292208 \nL 354.191896 118.872574 \nL 355.799829 120.561086 \nL 357.138445 122.357063 \nL 358.207859 124.259438 \nL 359.008893 126.266728 \nL 359.543102 128.377035 \nL 359.812716 130.588045 \nL 359.820628 132.897009 \nL 359.570371 135.300746 \nL 359.066083 137.795654 \nL 358.312476 140.377698 \nL 357.314808 143.042423 \nL 356.078808 145.784964 \nL 354.208166 149.314501 \nL 351.987898 152.946212 \nL 349.431885 156.668042 \nL 346.554771 160.467083 \nL 343.371788 164.329637 \nL 339.898667 168.241284 \nL 335.370562 172.978811 \nL 330.475886 177.738231 \nL 325.242868 182.491519 \nL 319.699533 187.209945 \nL 313.873515 191.864325 \nL 307.791752 196.425274 \nL 301.480318 200.863469 \nL 294.964245 205.149931 \nL 288.267409 209.256298 \nL 281.412412 213.155079 \nL 275.594501 216.226443 \nL 269.693176 219.120832 \nL 263.719405 221.824511 \nL 257.683528 224.324639 \nL 251.595279 226.609331 \nL 245.463831 228.667752 \nL 239.29783 230.49021 \nL 233.105447 232.068194 \nL 226.894446 233.394478 \nL 220.67224 234.463137 \nL 214.44596 235.269602 \nL 208.22253 235.810719 \nL 202.008742 236.084736 \nL 195.811333 236.091325 \nL 189.637055 235.831584 \nL 183.492768 235.308063 \nL 177.385485 234.524676 \nL 171.322475 233.486729 \nL 165.3113 232.200855 \nL 159.359902 230.674952 \nL 153.47663 228.91816 \nL 147.670324 226.94076 \nL 141.950312 224.754102 \nL 136.326468 222.370513 \nL 130.809241 219.803235 \nL 125.409626 217.066294 \nL 120.139221 214.17442 \nL 115.010157 211.142934 \nL 109.059731 207.343138 \nL 103.353994 203.393055 \nL 97.916728 199.32116 \nL 92.772515 195.156137 \nL 87.946532 190.926591 \nL 83.464344 186.660791 \nL 80.010374 183.09825 \nL 76.827836 179.545339 \nL 73.931434 176.017121 \nL 71.335552 172.52807 \nL 69.054206 169.091974 \nL 67.100843 165.721871 \nL 65.488291 162.429982 \nL 64.451771 159.860431 \nL 63.646862 157.353581 \nL 63.078923 154.914409 \nL 62.752873 152.547485 \nL 62.67317 150.256955 \nL 62.843735 148.046543 \nL 63.267943 145.919542 \nL 63.948638 143.878811 \nL 64.888053 141.926781 \nL 66.087785 140.065451 \nL 67.548809 138.2964 \nL 69.271421 136.620791 \nL 71.2553 135.039388 \nL 73.499407 133.552561 \nL 76.002049 132.160301 \nL 78.760802 130.862252 \nL 81.772614 129.65771 \nL 85.887431 128.281948 \nL 90.382905 127.048055 \nL 95.24862 125.95276 \nL 100.472593 124.992231 \nL 107.195183 124.011395 \nL 114.388161 123.210228 \nL 122.022714 122.579966 \nL 131.445804 122.048473 \nL 141.373278 121.722448 \nL 153.262406 121.582835 \nL 165.64361 121.671983 \nL 180.041353 122.022374 \nL 194.799508 122.615549 \nL 209.773649 123.433422 \nL 224.818129 124.463485 \nL 239.788043 125.699107 \nL 254.541139 127.139556 \nL 267.361471 128.595708 \nL 279.808864 130.224175 \nL 291.795434 132.03427 \nL 301.840897 133.775952 \nL 311.419489 135.673729 \nL 319.222515 137.431262 \nL 326.62117 139.315373 \nL 333.591205 141.331283 \nL 339.056495 143.115344 \nL 344.19809 144.996668 \nL 349.006374 146.97727 \nL 353.473127 149.058692 \nL 357.591568 151.241922 \nL 361.356359 153.527334 \nL 364.11087 155.429049 \nL 366.635144 157.39548 \nL 368.928393 159.425808 \nL 370.990375 161.518884 \nL 372.821433 163.673209 \nL 374.422438 165.886929 \nL 375.794771 168.157821 \nL 376.940321 170.483292 \nL 377.861452 172.860374 \nL 378.560991 175.285718 \nL 379.042183 177.755606 \nL 379.308687 180.265944 \nL 379.364529 182.812271 \nL 379.214097 185.38977 \nL 378.86207 187.993274 \nL 378.31342 190.617283 \nL 377.573384 193.255992 \nL 376.387463 196.565684 \nL 374.922015 199.876195 \nL 373.188404 203.174352 \nL 371.198202 206.446433 \nL 368.963173 209.678251 \nL 366.495118 212.855252 \nL 363.8058 215.962588 \nL 360.906883 218.985232 \nL 357.809789 221.908061 \nL 354.525721 224.715978 \nL 351.065543 227.394001 \nL 347.439716 229.927378 \nL 343.658267 232.301687 \nL 339.730765 234.502944 \nL 335.66629 236.517706 \nL 331.473393 238.333186 \nL 327.160102 239.937303 \nL 322.733938 241.318821 \nL 318.2019 242.467413 \nL 313.570458 243.373762 \nL 308.84565 244.029598 \nL 304.033056 244.427791 \nL 299.137871 244.562382 \nL 294.164927 244.428641 \nL 289.118762 244.023133 \nL 284.003687 243.343688 \nL 278.823825 242.389481 \nL 273.583198 241.160975 \nL 268.285804 239.659966 \nL 262.935673 237.889536 \nL 257.536947 235.854068 \nL 252.093961 233.559188 \nL 246.61133 231.011748 \nL 241.093989 228.219736 \nL 235.547298 225.192288 \nL 228.860786 221.262946 \nL 222.151592 217.028666 \nL 215.432136 212.510716 \nL 208.716248 207.732007 \nL 202.01927 202.716913 \nL 194.252714 196.60143 \nL 186.564754 190.241495 \nL 178.988196 183.680916 \nL 171.558907 176.964442 \nL 164.315638 170.1373 \nL 157.299823 163.244743 \nL 150.555252 156.331592 \nL 144.127641 149.441827 \nL 138.064143 142.618185 \nL 132.412744 135.90178 \nL 127.93322 130.259954 \nL 123.821924 124.749054 \nL 120.108259 119.391048 \nL 116.820624 114.206431 \nL 114.425903 110.032061 \nL 112.360537 106.001332 \nL 110.638257 102.123482 \nL 109.271652 98.406887 \nL 108.442068 95.554798 \nL 107.852486 92.81419 \nL 107.507445 90.188141 \nL 107.410843 87.679388 \nL 107.565802 85.290299 \nL 107.974814 83.022897 \nL 108.639583 80.878854 \nL 109.561057 78.859513 \nL 110.739387 76.965894 \nL 112.173919 75.198696 \nL 113.86319 73.558314 \nL 115.804914 72.044871 \nL 117.995992 70.658217 \nL 120.432514 69.397936 \nL 123.109746 68.26339 \nL 126.022155 67.25372 \nL 129.163446 66.367889 \nL 133.401105 65.432909 \nL 137.969908 64.686859 \nL 142.852767 64.126745 \nL 148.030983 63.74939 \nL 153.484377 63.551418 \nL 160.361291 63.545803 \nL 167.563896 63.787559 \nL 175.050527 64.270803 \nL 182.777723 64.989861 \nL 190.700623 65.939373 \nL 198.773392 67.114444 \nL 206.94959 68.510689 \nL 215.182609 70.124238 \nL 223.426063 71.951823 \nL 231.634187 73.990718 \nL 239.76221 76.238751 \nL 247.766723 78.694223 \nL 255.606022 81.35585 \nL 261.983865 83.730633 \nL 268.197635 86.247423 \nL 274.226798 88.905782 \nL 280.052147 91.705263 \nL 285.655891 94.645295 \nL 291.021709 97.725179 \nL 296.134823 100.943979 \nL 300.982044 104.300447 \nL 305.551807 107.79299 \nL 309.001135 110.683637 \nL 312.262209 113.6588 \nL 315.331406 116.716963 \nL 318.205776 119.856375 \nL 320.883031 123.075013 \nL 323.361559 126.370567 \nL 325.64039 129.740418 \nL 327.719179 133.181642 \nL 329.59819 136.690966 \nL 331.27828 140.264787 \nL 332.760879 143.899149 \nL 334.047964 147.589736 \nL 335.141994 151.331867 \nL 336.045929 155.1205 \nL 336.763144 158.950227 \nL 337.297468 162.815275 \nL 337.653074 166.709518 \nL 337.853195 171.608474 \nL 337.790676 176.529508 \nL 337.475648 181.458432 \nL 336.918732 186.380334 \nL 336.130961 191.279611 \nL 335.123677 196.140068 \nL 333.908395 200.944955 \nL 332.496695 205.677088 \nL 330.900104 210.318926 \nL 329.130078 214.852665 \nL 327.197867 219.260365 \nL 325.114435 223.524041 \nL 322.890372 227.625794 \nL 320.535885 231.547906 \nL 318.060707 235.273002 \nL 315.474028 238.784133 \nL 312.784534 242.064924 \nL 310.000312 245.099674 \nL 307.128858 247.873486 \nL 304.177078 250.372388 \nL 301.15126 252.583439 \nL 298.681158 254.137034 \nL 296.169981 255.493304 \nL 293.620141 256.647289 \nL 291.03384 257.59457 \nL 288.413078 258.331304 \nL 285.759633 258.85424 \nL 283.075101 259.160749 \nL 280.360921 259.248811 \nL 277.618375 259.117063 \nL 274.848605 258.764752 \nL 272.052642 258.191798 \nL 269.23141 257.39875 \nL 266.385761 256.386812 \nL 263.516491 255.157801 \nL 260.624357 253.714169 \nL 256.978178 251.612513 \nL 253.298928 249.187593 \nL 249.588181 246.448044 \nL 245.847666 243.403819 \nL 242.079337 240.066129 \nL 237.523807 235.690962 \nL 232.93602 230.934312 \nL 228.321395 225.821402 \nL 223.68636 220.379143 \nL 218.263172 213.651413 \nL 212.836673 206.560841 \nL 206.652311 198.075141 \nL 200.51431 189.252437 \nL 194.456117 180.166983 \nL 188.515668 170.892609 \nL 182.026162 160.323328 \nL 176.481083 150.885568 \nL 171.198196 141.477509 \nL 166.230139 132.162759 \nL 162.184089 124.135846 \nL 158.457692 116.263228 \nL 155.087828 108.579334 \nL 152.510599 102.167349 \nL 150.243911 95.935421 \nL 148.308738 89.900123 \nL 146.963542 85.031744 \nL 145.872725 80.318129 \nL 145.045886 75.766328 \nL 144.491599 71.382615 \nL 144.217309 67.172574 \nL 144.203691 63.932856 \nL 144.37584 60.809566 \nL 144.735763 57.804607 \nL 145.28487 54.919601 \nL 146.023945 52.155937 \nL 146.953144 49.51474 \nL 148.071973 46.99695 \nL 149.379272 44.603273 \nL 150.873213 42.334216 \nL 152.551291 40.190106 \nL 154.410322 38.171102 \nL 156.446458 36.277204 \nL 158.655161 34.508297 \nL 161.031262 32.864133 \nL 163.568942 31.344376 \nL 166.261741 29.948592 \nL 169.8351 28.377427 \nL 173.624762 26.998088 \nL 177.614361 25.809415 \nL 181.786315 24.810177 \nL 186.121922 23.999187 \nL 190.601477 23.375259 \nL 195.204401 22.937338 \nL 199.909379 22.684425 \nL 204.694496 22.615695 \nL 210.5109 22.775356 \nL 216.371273 23.198381 \nL 222.236155 23.884291 \nL 227.09861 24.656564 \nL 231.914356 25.611363 \nL 236.661262 26.748965 \nL 241.317735 28.069758 \nL 245.86285 29.574248 \nL 250.276486 31.263018 \nL 254.539455 33.13668 \nL 258.633606 35.195872 \nL 262.541948 37.441143 \nL 266.248736 39.872979 \nL 269.059329 41.953026 \nL 271.724945 44.15276 \nL 274.239455 46.472198 \nL 276.597337 48.911198 \nL 278.793703 51.469478 \nL 280.824288 54.146629 \nL 282.685486 56.942068 \nL 284.374323 59.854997 \nL 285.888472 62.884415 \nL 287.226254 66.02911 \nL 288.386615 69.287628 \nL 289.369116 72.658252 \nL 290.173946 76.138999 \nL 290.801865 79.727587 \nL 291.254199 83.421449 \nL 291.532817 87.217698 \nL 291.640492 92.102075 \nL 291.486242 97.134415 \nL 291.076922 102.306904 \nL 290.420345 107.610874 \nL 289.525264 113.036794 \nL 288.401193 118.57427 \nL 287.058318 124.212041 \nL 285.173213 131.092625 \nL 283.007952 138.077573 \nL 280.582572 145.142625 \nL 277.917493 152.261896 \nL 274.532674 160.599582 \nL 270.881898 168.927753 \nL 266.996798 177.198174 \nL 262.907881 185.360692 \nL 258.644134 193.36367 \nL 254.232765 201.15444 \nL 249.698937 208.679876 \nL 245.065669 215.886964 \nL 241.030927 221.771398 \nL 236.950128 227.351316 \nL 232.833781 232.595568 \nL 228.691227 237.474357 \nL 225.225054 241.240482 \nL 221.750634 244.717961 \nL 218.271733 247.89258 \nL 214.791704 250.751266 \nL 211.313545 253.282235 \nL 208.534181 255.064009 \nL 205.759002 256.624662 \nL 202.98919 257.960156 \nL 200.225862 259.067046 \nL 197.470094 259.942586 \nL 194.722944 260.584677 \nL 191.98547 260.99193 \nL 189.258748 261.163636 \nL 186.543902 261.099776 \nL 183.842111 260.80106 \nL 181.15464 260.268843 \nL 178.482853 259.505205 \nL 175.828239 258.512901 \nL 173.192419 257.295331 \nL 170.577171 255.856561 \nL 167.984444 254.201266 \nL 165.416363 252.334723 \nL 162.244498 249.713435 \nL 159.119814 246.783875 \nL 156.047856 243.559841 \nL 153.034724 240.056281 \nL 150.0871 236.289111 \nL 147.212233 232.275146 \nL 144.417967 228.031931 \nL 141.7127 223.577628 \nL 138.596534 217.98014 \nL 135.637917 212.138479 \nL 132.854313 206.085974 \nL 130.264044 199.856079 \nL 127.886136 193.482072 \nL 125.740152 186.996781 \nL 124.143355 181.530552 \nL 122.73304 176.027438 \nL 121.52077 170.504988 \nL 120.517945 164.980111 \nL 119.735731 159.469026 \nL 119.184932 153.987195 \nL 118.875872 148.549274 \nL 118.818292 143.169073 \nL 119.021215 137.859516 \nL 119.492848 132.632627 \nL 120.068573 128.518131 \nL 120.824193 124.468927 \nL 121.762509 120.4899 \nL 122.88582 116.585562 \nL 124.195898 112.760054 \nL 125.693972 109.017153 \nL 127.380694 105.360299 \nL 129.256092 101.792575 \nL 131.3196 98.316748 \nL 133.569995 94.935271 \nL 136.00542 91.6503 \nL 138.623335 88.463713 \nL 141.420522 85.377126 \nL 144.393111 82.39192 \nL 147.53654 79.509247 \nL 150.845567 76.730063 \nL 154.314291 74.055144 \nL 158.864698 70.859068 \nL 163.640105 67.827798 \nL 168.624751 64.962018 \nL 173.801438 62.262178 \nL 179.151595 59.728624 \nL 184.655362 57.361604 \nL 190.291714 55.161347 \nL 196.038559 53.128147 \nL 203.048146 50.909294 \nL 210.142352 48.932284 \nL 217.278581 47.198296 \nL 224.4133 45.708835 \nL 231.502427 44.465831 \nL 238.501739 43.471685 \nL 245.367278 42.729168 \nL 252.055747 42.241478 \nL 258.524945 42.012148 \nL 264.734135 42.044976 \nL 269.681743 42.275458 \nL 274.400416 42.693116 \nL 278.870062 43.300298 \nL 283.071899 44.099288 \nL 286.988613 45.092239 \nL 290.604459 46.281151 \nL 293.270995 47.374589 \nL 295.729521 48.595364 \nL 297.974365 49.944133 \nL 300.000606 51.421382 \nL 301.804087 53.027439 \nL 303.38143 54.762437 \nL 304.73005 56.626313 \nL 305.848119 58.618785 \nL 306.734607 60.739313 \nL 307.389251 62.987125 \nL 307.812538 65.361212 \nL 308.005702 67.860264 \nL 307.970704 70.482713 \nL 307.710202 73.226681 \nL 307.227518 76.089991 \nL 306.526608 79.070184 \nL 305.350594 82.955522 \nL 303.850931 87.013005 \nL 302.039035 91.235754 \nL 299.927448 95.616137 \nL 297.017098 101.068788 \nL 293.71975 106.720328 \nL 290.061829 112.553297 \nL 285.375278 119.562363 \nL 280.28024 126.759997 \nL 274.822142 134.111223 \nL 268.1978 142.65282 \nL 261.224681 151.287465 \nL 253.042425 161.035568 \nL 244.585206 170.731434 \nL 235.931962 180.280641 \nL 228.133341 188.568181 \nL 220.280627 196.59659 \nL 212.412921 204.299152 \nL 205.543083 210.720396 \nL 198.707182 216.800283 \nL 192.887545 221.709487 \nL 187.11411 226.3146 \nL 181.394616 230.59331 \nL 175.735711 234.525066 \nL 171.070383 237.522993 \nL 166.453996 240.257344 \nL 161.889161 242.719556 \nL 157.37824 244.902215 \nL 152.923464 246.799124 \nL 148.526982 248.405341 \nL 144.190954 249.717225 \nL 139.917589 250.732439 \nL 136.545597 251.330305 \nL 133.216527 251.737796 \nL 129.931785 251.95557 \nL 126.692903 251.984865 \nL 123.501562 251.827453 \nL 120.359602 251.485662 \nL 117.269036 250.962318 \nL 114.23207 250.260787 \nL 111.251118 249.38491 \nL 108.328796 248.339028 \nL 104.762686 246.79993 \nL 101.298701 245.012975 \nL 97.943482 242.989446 \nL 94.704223 240.741483 \nL 91.588732 238.282035 \nL 88.605309 235.624747 \nL 85.762863 232.783869 \nL 83.070767 229.774128 \nL 80.538889 226.610659 \nL 78.177509 223.308854 \nL 75.997292 219.88428 \nL 74.009217 216.352563 \nL 72.224475 212.729291 \nL 70.654422 209.029912 \nL 69.3105 205.269609 \nL 68.204122 201.463243 \nL 67.346595 197.625265 \nL 66.748987 193.769603 \nL 66.422102 189.909614 \nL 66.362488 186.827072 \nL 66.487834 183.756096 \nL 66.802988 180.702572 \nL 67.312466 177.672062 \nL 68.020511 174.669798 \nL 68.930975 171.700677 \nL 70.047369 168.769243 \nL 71.37278 165.879686 \nL 72.909848 163.035849 \nL 74.660757 160.241215 \nL 76.627189 157.498918 \nL 78.810309 154.811746 \nL 81.210747 152.182147 \nL 83.82857 149.612239 \nL 86.663288 147.103823 \nL 89.713791 144.658394 \nL 92.978376 142.277158 \nL 97.356599 139.392287 \nL 102.059809 136.61044 \nL 107.080631 133.932335 \nL 112.410124 131.358214 \nL 118.03785 128.88789 \nL 123.951901 126.520843 \nL 130.138864 124.256287 \nL 137.902478 121.672722 \nL 146.009419 119.233447 \nL 154.42869 116.936527 \nL 163.126745 114.780165 \nL 173.578793 112.440097 \nL 184.300573 110.287764 \nL 195.227844 108.322763 \nL 206.293405 106.54605 \nL 217.427682 104.960149 \nL 230.14518 103.386805 \nL 242.751178 102.07725 \nL 253.604609 101.157063 \nL 264.217365 100.457555 \nL 274.518525 99.989742 \nL 284.439185 99.765733 \nL 293.913211 99.798469 \nL 301.630686 100.041021 \nL 308.936827 100.490516 \nL 315.797106 101.155257 \nL 321.150461 101.879362 \nL 326.155414 102.762739 \nL 330.796848 103.809294 \nL 335.061296 105.022498 \nL 338.193491 106.115028 \nL 341.071702 107.317317 \nL 343.691504 108.630299 \nL 346.049226 110.054626 \nL 348.141975 111.590624 \nL 349.967592 113.238273 \nL 351.524726 114.997199 \nL 352.812805 116.866659 \nL 353.831946 118.845513 \nL 354.583072 120.932229 \nL 355.067786 123.124854 \nL 355.288407 125.421027 \nL 355.247944 127.817967 \nL 354.95002 130.312463 \nL 354.398901 132.900876 \nL 353.59941 135.579156 \nL 352.556946 138.342827 \nL 351.277384 141.18701 \nL 349.354228 144.847372 \nL 347.083858 148.614086 \nL 344.480475 152.475082 \nL 341.559 156.417441 \nL 338.334981 160.427453 \nL 334.089376 165.308395 \nL 329.459421 170.23977 \nL 324.473757 175.194269 \nL 319.161002 180.143652 \nL 313.54958 185.058987 \nL 307.667367 189.910876 \nL 301.541504 194.66974 \nL 295.198176 199.306052 \nL 288.662478 203.790615 \nL 281.958255 208.094843 \nL 275.10805 212.191012 \nL 269.303332 215.426328 \nL 263.423448 218.483992 \nL 257.479239 221.350127 \nL 251.480895 224.011701 \nL 245.437983 226.456643 \nL 239.359485 228.673934 \nL 233.253845 230.653671 \nL 227.129026 232.387137 \nL 220.992554 233.866883 \nL 214.851605 235.086764 \nL 208.713059 236.041998 \nL 202.583578 236.729183 \nL 196.469686 237.146328 \nL 190.37784 237.292883 \nL 184.314508 237.169716 \nL 178.286242 236.779139 \nL 172.299771 236.124844 \nL 166.362036 235.211924 \nL 160.480291 234.046789 \nL 154.662134 232.637146 \nL 148.915602 230.991928 \nL 143.249168 229.121233 \nL 137.671818 227.036253 \nL 132.193065 224.749143 \nL 126.822983 222.272997 \nL 121.572209 219.621713 \nL 116.451938 216.809887 \nL 111.473935 213.852732 \nL 106.650455 210.765955 \nL 101.084345 206.913379 \nL 95.782166 202.925601 \nL 90.767712 198.831181 \nL 86.065371 194.658679 \nL 81.7 190.436386 \nL 78.337681 186.899816 \nL 75.241238 183.363606 \nL 72.425054 179.842928 \nL 69.903261 176.352385 \nL 67.689624 172.90593 \nL 65.797419 169.516783 \nL 64.239336 166.197364 \nL 63.241508 163.599827 \nL 62.470945 161.059828 \nL 61.932997 158.58247 \nL 61.632615 156.172456 \nL 61.574304 153.834076 \nL 61.762042 151.571199 \nL 62.199341 149.387268 \nL 62.889115 147.285297 \nL 63.833743 145.267872 \nL 65.034974 143.337154 \nL 66.493962 141.494882 \nL 68.211234 139.742385 \nL 70.18663 138.080587 \nL 72.419337 136.51002 \nL 74.907916 135.030847 \nL 77.650228 133.642866 \nL 80.643449 132.345539 \nL 84.732438 130.850025 \nL 89.199716 129.492475 \nL 94.035429 128.26992 \nL 99.228201 127.178818 \nL 104.765087 126.21514 \nL 111.843284 125.220676 \nL 119.368875 124.39508 \nL 127.311824 123.729704 \nL 137.06261 123.144111 \nL 147.281784 122.750514 \nL 159.458619 122.518431 \nL 172.077403 122.500658 \nL 186.681153 122.71629 \nL 201.579482 123.162936 \nL 216.627502 123.826572 \nL 231.679606 124.698968 \nL 246.591392 125.777877 \nL 261.221568 127.066894 \nL 273.879361 128.396193 \nL 286.115382 129.90788 \nL 296.407919 131.389362 \nL 306.257268 133.028279 \nL 315.61322 134.834075 \nL 323.205034 136.521999 \nL 330.374367 138.345458 \nL 337.097735 140.309963 \nL 342.344804 142.058374 \nL 347.257248 143.910618 \nL 351.825965 145.868682 \nL 356.043352 147.93402 \nL 359.903236 150.107476 \nL 362.730533 151.924225 \nL 365.324255 153.810044 \nL 367.683246 155.764367 \nL 369.806946 157.786289 \nL 371.695355 159.874557 \nL 373.349068 162.027555 \nL 374.769183 164.243302 \nL 375.957322 166.519428 \nL 376.915624 168.853186 \nL 377.646742 171.241442 \nL 378.153762 173.680675 \nL 378.440207 176.166979 \nL 378.510009 178.696066 \nL 378.367444 181.263278 \nL 378.017177 183.863592 \nL 377.46416 186.491638 \nL 376.713628 189.141706 \nL 375.506086 192.476041 \nL 374.009641 195.822914 \nL 372.235864 199.169216 \nL 370.196624 202.501252 \nL 367.903982 205.804797 \nL 365.370115 209.065198 \nL 362.6072 212.26746 \nL 359.627333 215.396338 \nL 356.442452 218.436441 \nL 353.064298 221.372337 \nL 349.504225 224.188662 \nL 345.773289 226.870206 \nL 341.882112 229.402069 \nL 337.840835 231.7697 \nL 333.659132 233.959072 \nL 329.346149 235.956725 \nL 324.91053 237.749915 \nL 320.360358 239.326685 \nL 315.703225 240.675968 \nL 310.946175 241.787648 \nL 306.095792 242.652659 \nL 301.158189 243.263073 \nL 296.13907 243.612108 \nL 291.043759 243.694228 \nL 285.877279 243.505165 \nL 280.644382 243.041979 \nL 275.349629 242.303013 \nL 269.99744 241.287994 \nL 264.592193 239.997975 \nL 259.138274 238.435355 \nL 253.64017 236.603865 \nL 248.102532 234.508523 \nL 242.530256 232.15561 \nL 236.928553 229.552618 \nL 231.303035 226.708206 \nL 225.659772 223.632153 \nL 218.87376 219.650406 \nL 212.084256 215.371187 \nL 205.305136 210.816822 \nL 198.55174 206.011205 \nL 191.840959 200.979657 \nL 185.19128 195.74865 \nL 177.537491 189.430311 \nL 170.029082 182.92255 \nL 162.703709 176.270916 \nL 155.60176 169.521304 \nL 148.766051 162.719476 \nL 142.241461 155.910608 \nL 136.074455 149.138849 \nL 130.312551 142.446909 \nL 125.732509 136.805545 \nL 121.515322 131.277402 \nL 117.690522 125.885653 \nL 114.286757 120.652026 \nL 111.791741 116.426049 \nL 109.623222 112.334686 \nL 107.795307 108.387884 \nL 106.321066 104.594731 \nL 105.404291 101.676373 \nL 104.726888 98.865393 \nL 104.293705 96.165203 \nL 104.108973 93.578855 \nL 104.176248 91.109018 \nL 104.498354 88.758001 \nL 105.077417 86.527758 \nL 105.91481 84.419886 \nL 107.011115 82.435641 \nL 108.366138 80.575944 \nL 109.97885 78.841394 \nL 111.847434 77.232286 \nL 113.969259 75.748625 \nL 116.34085 74.39016 \nL 118.957942 73.156375 \nL 121.815435 72.046519 \nL 124.907476 71.059625 \nL 129.092181 69.997183 \nL 133.618348 69.122467 \nL 138.469622 68.432554 \nL 143.628018 67.924221 \nL 149.073997 67.594084 \nL 155.959201 67.428153 \nL 163.189629 67.507545 \nL 170.724344 67.826125 \nL 178.520418 68.377905 \nL 186.533352 69.157226 \nL 194.717469 70.158855 \nL 203.026326 71.378054 \nL 211.413096 72.810652 \nL 219.830993 74.453071 \nL 228.233647 76.302345 \nL 236.575505 78.35613 \nL 244.812182 80.612603 \nL 252.900823 83.070458 \nL 260.800428 85.728759 \nL 267.210937 88.096665 \nL 273.441965 90.603045 \nL 279.473587 93.247634 \nL 285.287251 96.030116 \nL 290.865858 98.950059 \nL 296.193808 102.006851 \nL 301.257083 105.199623 \nL 306.043272 108.527173 \nL 309.665424 111.285191 \nL 313.098561 114.127424 \nL 316.338621 117.052623 \nL 319.382218 120.059306 \nL 322.226632 123.145736 \nL 324.869815 126.309898 \nL 327.310396 129.549482 \nL 329.547642 132.861878 \nL 331.581429 136.244139 \nL 333.412236 139.692992 \nL 335.041161 143.204815 \nL 336.469817 146.77563 \nL 337.700386 150.401097 \nL 338.735521 154.076515 \nL 339.578368 157.796813 \nL 340.232492 161.556557 \nL 340.701873 165.349952 \nL 340.990856 169.170845 \nL 341.105569 173.9757 \nL 340.955503 178.799913 \nL 340.55103 183.629283 \nL 339.903012 188.448886 \nL 339.022663 193.243133 \nL 337.92151 197.995837 \nL 336.611181 202.690315 \nL 335.103394 207.309446 \nL 333.409801 211.835783 \nL 331.541926 216.251647 \nL 329.511055 220.539252 \nL 327.328198 224.68078 \nL 325.003987 228.658534 \nL 322.548634 232.455035 \nL 319.971835 236.053156 \nL 317.282791 239.436241 \nL 314.490126 242.588215 \nL 311.601905 245.493705 \nL 308.625589 248.138196 \nL 305.568014 250.50805 \nL 303.067665 252.197724 \nL 300.522233 253.69767 \nL 297.934411 255.002461 \nL 295.30664 256.107207 \nL 292.641161 257.007544 \nL 289.939976 257.699724 \nL 287.204924 258.180551 \nL 284.437624 258.447439 \nL 281.639551 258.498422 \nL 278.812019 258.332189 \nL 275.956195 257.948032 \nL 273.073159 257.34588 \nL 270.163878 256.526318 \nL 267.229242 255.490559 \nL 264.270096 254.240435 \nL 261.287254 252.7784 \nL 257.526597 250.657536 \nL 253.731767 248.217615 \nL 249.904467 245.467208 \nL 246.046567 242.416235 \nL 242.160181 239.075818 \nL 237.46234 234.70259 \nL 232.731849 229.953388 \nL 227.974494 224.853283 \nL 223.197108 219.428971 \nL 217.608907 212.728397 \nL 212.019263 205.671336 \nL 206.445599 198.305835 \nL 200.121134 189.573297 \nL 193.87814 180.575626 \nL 187.7555 171.386282 \nL 181.796485 162.077542 \nL 176.048415 152.7197 \nL 170.562113 143.380326 \nL 165.391209 134.12366 \nL 161.169048 126.139487 \nL 157.268793 118.302702 \nL 153.728294 110.648387 \nL 151.008186 104.257324 \nL 148.6025 98.042704 \nL 146.532989 92.021558 \nL 145.079969 87.162894 \nL 143.885599 82.457391 \nL 142.959951 77.912351 \nL 142.312081 73.534315 \nL 141.949912 69.329064 \nL 141.870426 66.092712 \nL 141.980908 62.972468 \nL 142.283605 59.970326 \nL 142.780158 57.088029 \nL 143.471579 54.327022 \nL 144.358244 51.688536 \nL 145.439857 49.173543 \nL 146.715457 46.782807 \nL 148.183393 44.516894 \nL 149.841336 42.376166 \nL 151.686258 40.360811 \nL 153.714442 38.470845 \nL 155.921487 36.706171 \nL 158.302316 35.066542 \nL 160.851201 33.551611 \nL 163.561768 32.160928 \nL 167.166615 30.596493 \nL 170.998123 29.22423 \nL 175.039948 28.042907 \nL 179.27446 27.051205 \nL 183.682865 26.247831 \nL 188.24531 25.63151 \nL 192.941031 25.201055 \nL 197.748467 24.955359 \nL 202.645413 24.893466 \nL 208.607908 25.06069 \nL 214.626718 25.490366 \nL 220.661633 26.181794 \nL 226.672482 27.134654 \nL 231.634443 28.128428 \nL 236.529479 29.303968 \nL 241.335528 30.661637 \nL 246.0312 32.201895 \nL 250.595904 33.925265 \nL 255.009994 35.83234 \nL 259.254871 37.923723 \nL 263.313103 40.199954 \nL 267.168519 42.661483 \nL 270.096809 44.764325 \nL 272.878841 46.986022 \nL 275.508275 49.326545 \nL 277.979412 51.785746 \nL 280.287163 54.363331 \nL 282.427093 57.05885 \nL 284.395429 59.87169 \nL 286.189037 62.80102 \nL 287.805454 65.845812 \nL 289.24285 69.004826 \nL 290.500042 72.27654 \nL 291.576476 75.659182 \nL 292.472214 79.150719 \nL 293.187925 82.748796 \nL 293.72485 86.450784 \nL 294.084772 90.25371 \nL 294.270024 94.154289 \nL 294.260299 99.161771 \nL 293.988621 104.308302 \nL 293.462564 109.585174 \nL 292.690657 114.982817 \nL 291.682225 120.490766 \nL 290.447339 126.09769 \nL 288.996663 131.791386 \nL 286.986732 138.7199 \nL 284.702099 145.730351 \nL 282.163196 152.796929 \nL 279.390705 159.892264 \nL 276.405265 166.987557 \nL 272.680269 175.225131 \nL 268.724681 183.371954 \nL 264.568732 191.376679 \nL 260.241056 199.186777 \nL 255.768384 206.749059 \nL 251.837998 212.993381 \nL 247.833444 218.983217 \nL 243.767719 224.685864 \nL 239.652577 230.069506 \nL 235.498568 235.103511 \nL 232.014001 239.010355 \nL 228.513816 242.638224 \nL 225.002358 245.972167 \nL 221.483515 248.998353 \nL 217.960767 251.704153 \nL 214.437232 254.078249 \nL 211.619738 255.731995 \nL 208.804868 257.16268 \nL 205.993867 258.366532 \nL 203.187915 259.340443 \nL 200.38815 260.08195 \nL 197.595693 260.589282 \nL 194.811664 260.861377 \nL 192.03721 260.897854 \nL 189.273512 260.699024 \nL 186.521821 260.265929 \nL 183.783471 259.600264 \nL 181.059902 258.704444 \nL 178.352668 257.581534 \nL 175.663465 256.235263 \nL 172.994148 254.670004 \nL 170.346743 252.890719 \nL 167.723457 250.902984 \nL 164.481968 248.134556 \nL 161.287134 245.063135 \nL 158.144671 241.703013 \nL 155.060856 238.069557 \nL 152.042538 234.179087 \nL 149.097178 230.048739 \nL 146.232779 225.696344 \nL 142.914525 220.206322 \nL 139.741175 214.455739 \nL 136.729677 208.477822 \nL 133.897972 202.306096 \nL 131.264822 195.97407 \nL 128.849647 189.514932 \nL 126.672357 182.961312 \nL 125.054248 177.450755 \nL 123.627102 171.914529 \nL 122.402576 166.369898 \nL 121.392148 160.833456 \nL 120.607001 155.321064 \nL 120.057928 149.847802 \nL 119.755191 144.427914 \nL 119.708416 139.074779 \nL 119.9265 133.800877 \nL 120.297072 129.646609 \nL 120.845951 125.555966 \nL 121.576354 121.534064 \nL 122.491043 117.585646 \nL 123.592264 113.715079 \nL 124.881751 109.926354 \nL 126.360651 106.223118 \nL 128.029536 102.608661 \nL 129.888384 99.085934 \nL 131.936525 95.657569 \nL 134.17264 92.325884 \nL 136.594779 89.09291 \nL 139.200288 85.960401 \nL 141.985853 82.929849 \nL 144.947489 80.002525 \nL 148.080519 77.17947 \nL 151.37957 74.461538 \nL 154.838639 71.849406 \nL 159.377252 68.733811 \nL 164.14094 65.785096 \nL 169.113718 63.003756 \nL 174.278174 60.39011 \nL 179.615531 57.944352 \nL 185.105743 55.666608 \nL 190.727606 53.557 \nL 196.458873 51.615688 \nL 203.44814 49.508621 \nL 210.520069 47.644922 \nL 217.631924 46.025572 \nL 224.740084 44.65198 \nL 231.800441 43.525971 \nL 238.768802 42.649767 \nL 245.601294 42.026069 \nL 252.254774 41.65795 \nL 258.687241 41.548846 \nL 264.858217 41.702424 \nL 269.773074 42.033853 \nL 274.458384 42.552663 \nL 278.894284 43.261111 \nL 283.062227 44.161394 \nL 286.94516 45.255602 \nL 289.835851 46.271888 \nL 292.527038 47.414369 \nL 295.012283 48.683798 \nL 297.28586 50.080823 \nL 299.342817 51.605902 \nL 301.178947 53.259338 \nL 302.790813 55.041245 \nL 304.175769 56.951552 \nL 305.331946 58.989942 \nL 306.258234 61.155873 \nL 306.954314 63.448575 \nL 307.420602 65.867004 \nL 307.658254 68.409839 \nL 307.66915 71.075477 \nL 307.455863 73.862016 \nL 307.021629 76.767284 \nL 306.370329 79.788777 \nL 305.257822 83.724788 \nL 303.823147 87.831832 \nL 302.077531 92.10297 \nL 300.033323 96.530479 \nL 297.703882 101.105885 \nL 294.552101 106.778515 \nL 291.035961 112.633353 \nL 287.182457 118.651491 \nL 282.297391 125.85181 \nL 277.035739 133.211948 \nL 270.618841 141.771607 \nL 263.834653 150.432834 \nL 256.747044 159.133742 \nL 249.416738 167.809829 \nL 241.900536 176.394607 \nL 234.250652 184.820302 \nL 226.514322 193.018607 \nL 218.73355 200.921514 \nL 211.917914 207.541637 \nL 205.117797 213.840879 \nL 198.35166 219.777407 \nL 192.591182 224.547062 \nL 186.875801 228.99765 \nL 181.212834 233.107381 \nL 176.538314 236.257372 \nL 171.907772 239.146372 \nL 167.324055 241.765004 \nL 162.789729 244.105049 \nL 158.307187 246.159459 \nL 153.878668 247.922441 \nL 149.506379 249.389515 \nL 145.192555 250.557519 \nL 141.785154 251.275336 \nL 138.417925 251.800274 \nL 135.092223 252.132598 \nL 131.809504 252.273149 \nL 128.571377 252.223326 \nL 125.379573 251.985078 \nL 122.236001 251.560901 \nL 119.142742 250.953817 \nL 116.102095 250.167366 \nL 113.116546 249.205588 \nL 110.188782 248.073017 \nL 106.614863 246.424753 \nL 103.142085 244.528083 \nL 99.777262 242.394662 \nL 96.527781 240.037011 \nL 93.401623 237.46845 \nL 90.40735 234.702971 \nL 87.55403 231.755168 \nL 84.851243 228.640122 \nL 82.309087 225.373244 \nL 79.938022 221.970234 \nL 77.748899 218.44693 \nL 75.7529 214.819221 \nL 73.961402 211.102919 \nL 72.385928 207.313666 \nL 71.038086 203.466855 \nL 69.929432 199.577514 \nL 69.071414 195.66022 \nL 68.475223 191.72903 \nL 68.151722 187.797401 \nL 68.096304 184.660397 \nL 68.227207 181.537532 \nL 68.549255 178.434712 \nL 69.067 175.357517 \nL 69.784661 172.311186 \nL 70.706113 169.300623 \nL 71.834798 166.330368 \nL 73.173768 163.404608 \nL 74.725597 160.527173 \nL 76.492445 157.701532 \nL 78.475878 154.930802 \nL 80.676983 152.217749 \nL 83.096275 149.564799 \nL 85.733696 146.974044 \nL 88.588639 144.447262 \nL 91.65986 141.985922 \nL 94.945516 139.591208 \nL 99.350277 136.692868 \nL 104.079955 133.901264 \nL 109.126789 131.217079 \nL 114.481493 128.640514 \nL 120.13323 126.171359 \nL 126.069633 123.80907 \nL 132.27689 121.552852 \nL 140.061531 118.984005 \nL 148.18513 116.564596 \nL 156.615943 114.292718 \nL 165.319663 112.166616 \nL 175.769914 109.868512 \nL 186.479803 107.765435 \nL 197.384038 105.857075 \nL 208.414481 104.144536 \nL 219.500744 102.630451 \nL 230.570848 101.319129 \nL 241.551902 100.216561 \nL 252.370824 99.330412 \nL 262.955059 98.669874 \nL 273.233338 98.245512 \nL 283.136396 98.069011 \nL 291.275608 98.124457 \nL 299.050387 98.37935 \nL 306.423066 98.841903 \nL 313.358526 99.520223 \nL 318.780654 100.255934 \nL 323.859547 101.151117 \nL 328.579679 102.209653 \nL 332.927145 103.434981 \nL 336.128628 104.537332 \nL 339.078425 105.749566 \nL 341.771904 107.072648 \nL 344.205179 108.50727 \nL 346.37515 110.053793 \nL 348.279464 111.712255 \nL 349.916552 113.482339 \nL 351.285605 115.363372 \nL 352.386609 117.354292 \nL 353.22024 119.453636 \nL 353.787938 121.659545 \nL 354.09183 123.969737 \nL 354.13474 126.381524 \nL 353.920155 128.891783 \nL 353.45218 131.496976 \nL 352.735492 134.193141 \nL 351.775337 136.975894 \nL 350.577468 139.840448 \nL 348.755385 143.528225 \nL 346.584739 147.324672 \nL 344.079558 151.217876 \nL 341.254593 155.195061 \nL 338.125267 159.242642 \nL 334.707496 163.346297 \nL 330.248301 168.323542 \nL 325.425656 173.332887 \nL 320.268158 178.346296 \nL 314.804263 183.334942 \nL 309.061973 188.269449 \nL 303.068631 193.120143 \nL 296.850671 197.857314 \nL 290.43347 202.451473 \nL 283.841205 206.873629 \nL 277.096742 211.095537 \nL 271.37565 214.44118 \nL 265.575512 217.613792 \nL 259.707359 220.599038 \nL 253.781546 223.383402 \nL 247.807801 225.954288 \nL 241.795245 228.300094 \nL 235.752431 230.41034 \nL 229.687408 232.275686 \nL 223.607763 233.888049 \nL 217.520692 235.24059 \nL 211.433069 236.327855 \nL 205.351519 237.145761 \nL 199.282485 237.691626 \nL 193.232315 237.964208 \nL 187.207336 237.963703 \nL 181.213929 237.691741 \nL 175.258597 237.151385 \nL 169.348066 236.34709 \nL 163.489308 235.284665 \nL 157.68965 233.971258 \nL 151.956798 232.415263 \nL 146.298916 230.626298 \nL 140.724642 228.615087 \nL 135.243157 226.393399 \nL 129.864179 223.973984 \nL 124.597982 221.37042 \nL 119.455438 218.597077 \nL 114.447959 215.668964 \nL 109.587549 212.601656 \nL 104.886717 209.411155 \nL 99.474674 205.442953 \nL 94.334428 201.349481 \nL 89.490002 197.159502 \nL 84.966025 192.901666 \nL 81.458832 189.322033 \nL 78.206035 185.730927 \nL 75.22211 182.143957 \nL 72.521393 178.576217 \nL 70.117937 175.042212 \nL 68.025416 171.555767 \nL 66.256979 168.12995 \nL 64.825168 164.777013 \nL 63.930025 162.154808 \nL 63.263518 159.591931 \nL 62.830873 157.093382 \nL 62.636891 154.663753 \nL 62.68593 152.307218 \nL 62.981784 150.027529 \nL 63.527793 147.828013 \nL 64.326677 145.711566 \nL 65.380644 143.680662 \nL 66.691225 141.737347 \nL 68.259335 139.883254 \nL 70.085271 138.119607 \nL 72.168645 136.447233 \nL 74.508428 134.866574 \nL 77.102893 133.377707 \nL 79.949662 131.980358 \nL 83.045636 130.67392 \nL 87.260313 129.167301 \nL 91.849737 127.798876 \nL 96.803535 126.565625 \nL 102.109762 125.463983 \nL 108.923466 124.310038 \nL 116.199371 123.332158 \nL 123.908762 122.522148 \nL 133.409023 121.777958 \nL 143.402812 121.237009 \nL 153.832488 120.885895 \nL 166.207466 120.700789 \nL 178.976565 120.729794 \nL 193.6895 121.000073 \nL 208.631206 121.506283 \nL 223.655131 122.237445 \nL 238.614823 123.188414 \nL 253.365897 124.359885 \nL 266.189225 125.591243 \nL 278.641923 127.009375 \nL 289.162998 128.411487 \nL 299.274256 129.972592 \nL 308.922478 131.701634 \nL 316.786496 133.324409 \nL 324.245898 135.083293 \nL 331.274987 136.983928 \nL 336.787189 138.67984 \nL 341.97278 140.480487 \nL 346.821401 142.388151 \nL 351.324124 144.404634 \nL 355.473539 146.531192 \nL 359.263632 148.768458 \nL 362.033968 150.637967 \nL 364.569824 152.577937 \nL 366.870184 154.587672 \nL 368.934635 156.666136 \nL 370.763304 158.811939 \nL 372.356911 161.023327 \nL 373.716737 163.298169 \nL 374.844541 165.633953 \nL 375.742623 168.027779 \nL 376.413772 170.476359 \nL 376.861235 172.976017 \nL 377.088671 175.522694 \nL 377.10015 178.111944 \nL 376.900143 180.738956 \nL 376.493406 183.398551 \nL 375.885039 186.085202 \nL 375.080404 188.793045 \nL 373.807165 192.198203 \nL 372.247401 195.614076 \nL 370.412866 199.027284 \nL 368.315612 202.423847 \nL 365.967872 205.789291 \nL 363.381959 209.108707 \nL 360.570177 212.366884 \nL 357.544725 215.548357 \nL 354.317619 218.637548 \nL 350.900626 221.618839 \nL 347.305166 224.476698 \nL 343.542319 227.195808 \nL 339.622673 229.761128 \nL 335.556391 232.158037 \nL 331.353113 234.372427 \nL 327.021973 236.390811 \nL 322.571513 238.200437 \nL 318.009782 239.789349 \nL 313.344314 241.146513 \nL 308.582078 242.261887 \nL 303.729587 243.126481 \nL 298.792887 243.732467 \nL 293.77761 244.073204 \nL 288.689015 244.143307 \nL 283.532054 243.938684 \nL 278.311419 243.456564 \nL 273.031616 242.695539 \nL 267.69704 241.655537 \nL 262.312022 240.33787 \nL 256.880933 238.745185 \nL 251.408235 236.881468 \nL 245.898574 234.752005 \nL 240.356857 232.363368 \nL 234.788305 229.723323 \nL 229.198557 226.840805 \nL 223.593717 223.725866 \nL 216.857375 219.696802 \nL 210.121506 215.370005 \nL 203.400087 210.768222 \nL 196.708563 205.915792 \nL 190.063935 200.838415 \nL 183.484807 195.562916 \nL 175.919007 189.194821 \nL 168.504853 182.640014 \nL 161.280108 175.944441 \nL 154.285233 169.154289 \nL 147.563054 162.315537 \nL 141.158391 155.473492 \nL 135.117577 148.672355 \nL 130.265159 142.907772 \nL 125.744783 137.230417 \nL 121.586267 131.664893 \nL 117.818944 126.234462 \nL 114.998895 121.828078 \nL 112.486146 117.542465 \nL 110.295788 113.388609 \nL 108.442022 109.37665 \nL 106.937997 105.515874 \nL 105.994696 102.541782 \nL 105.28848 99.67373 \nL 104.824279 96.915229 \nL 104.606447 94.269432 \nL 104.638667 91.739115 \nL 104.923933 89.326691 \nL 105.464488 87.034205 \nL 106.261875 84.863355 \nL 107.316836 82.815498 \nL 108.62935 80.891641 \nL 110.198569 79.092488 \nL 112.022836 77.418427 \nL 114.099716 75.869552 \nL 116.425904 74.445677 \nL 118.99733 73.146386 \nL 121.809072 71.971014 \nL 124.855453 70.918667 \nL 128.130014 69.988274 \nL 132.533036 68.994872 \nL 137.265579 68.187327 \nL 142.31028 67.562593 \nL 147.648177 67.117411 \nL 153.258856 66.848397 \nL 160.321005 66.753224 \nL 167.704677 66.900682 \nL 175.367839 67.284874 \nL 183.266704 67.900142 \nL 191.356105 68.741206 \nL 199.589893 69.803276 \nL 207.921352 71.082066 \nL 216.303593 72.573918 \nL 224.68996 74.27576 \nL 233.034417 76.185138 \nL 241.291929 78.30017 \nL 249.418816 80.619497 \nL 257.373107 83.14219 \nL 265.114843 85.867663 \nL 271.376696 88.29353 \nL 277.444339 90.85978 \nL 283.298689 93.566218 \nL 288.922088 96.412551 \nL 294.298362 99.398319 \nL 299.412905 102.522826 \nL 304.252722 105.785073 \nL 307.919082 108.49314 \nL 311.397256 111.287578 \nL 314.682896 114.167266 \nL 317.772307 117.130862 \nL 320.6625 120.176772 \nL 323.351143 123.30313 \nL 325.836601 126.507786 \nL 328.117866 129.788282 \nL 330.194586 133.141837 \nL 332.067023 136.56534 \nL 333.736011 140.055337 \nL 335.203003 143.608015 \nL 336.469977 147.219201 \nL 337.539424 150.884355 \nL 338.414319 154.59857 \nL 339.098113 158.356566 \nL 339.594672 162.152698 \nL 339.908225 165.980959 \nL 340.049864 170.801741 \nL 339.922403 175.649571 \nL 339.536155 180.510471 \nL 338.901936 185.369702 \nL 338.030986 190.211828 \nL 336.93483 195.020794 \nL 335.625232 199.779976 \nL 334.11397 204.472297 \nL 332.412876 209.080297 \nL 330.533659 213.586247 \nL 328.487799 217.972245 \nL 326.286522 222.220309 \nL 323.940702 226.312546 \nL 321.460802 230.231213 \nL 318.856801 233.95886 \nL 316.138191 237.478475 \nL 313.313889 240.773541 \nL 310.392242 243.828252 \nL 307.380996 246.627543 \nL 304.287315 249.157262 \nL 301.117714 251.404251 \nL 298.531379 252.990125 \nL 295.903036 254.381676 \nL 293.235231 255.573821 \nL 290.530273 256.561989 \nL 287.790259 257.342188 \nL 285.017093 257.911006 \nL 282.212497 258.265664 \nL 279.378014 258.403966 \nL 276.515027 258.324369 \nL 273.624805 258.025964 \nL 270.708492 257.5085 \nL 267.767128 256.772342 \nL 264.80169 255.818508 \nL 261.813103 254.648653 \nL 258.802245 253.265054 \nL 255.008694 251.239408 \nL 251.183465 248.891269 \nL 247.328416 246.228977 \nL 243.445551 243.262205 \nL 239.537135 240.001862 \nL 235.605721 236.460028 \nL 230.86181 231.856859 \nL 226.094887 226.891894 \nL 221.311837 221.591488 \nL 216.520689 215.983475 \nL 210.933232 209.090862 \nL 205.36447 201.866966 \nL 199.834039 194.360804 \nL 193.589226 185.500425 \nL 187.461293 176.410534 \nL 181.49223 167.164664 \nL 175.728153 157.834729 \nL 170.218798 148.490222 \nL 165.01688 139.197539 \nL 160.760505 131.158347 \nL 156.819066 123.246318 \nL 153.230295 115.498206 \nL 150.463183 109.013247 \nL 148.005429 102.693398 \nL 145.879002 96.556723 \nL 144.375109 91.594645 \nL 143.126978 86.779853 \nL 142.144985 82.120192 \nL 141.438518 77.622731 \nL 141.015906 73.293791 \nL 140.88701 69.95572 \nL 140.947408 66.731562 \nL 141.199586 63.62354 \nL 141.645442 60.633592 \nL 142.286275 57.763384 \nL 143.12273 55.014314 \nL 144.154802 52.387544 \nL 145.381821 49.884002 \nL 146.802432 47.504397 \nL 148.414602 45.249235 \nL 150.21559 43.118833 \nL 152.201991 41.113326 \nL 154.369676 39.232703 \nL 156.713849 37.476814 \nL 159.229062 35.845385 \nL 161.909198 34.338035 \nL 164.7475 32.954295 \nL 168.506517 31.397627 \nL 172.485464 30.032103 \nL 176.667321 28.856474 \nL 181.033845 27.869457 \nL 185.565666 27.069776 \nL 190.242396 26.456236 \nL 195.042786 26.027676 \nL 199.944843 25.783095 \nL 205.929677 25.731218 \nL 211.988527 25.94181 \nL 218.081009 26.414064 \nL 224.166589 27.147521 \nL 229.203538 27.958246 \nL 234.184677 28.950479 \nL 239.087432 30.124557 \nL 243.889821 31.480942 \nL 248.570593 33.020191 \nL 253.10936 34.742932 \nL 257.486725 36.649848 \nL 261.684395 38.741585 \nL 265.685291 41.018763 \nL 269.473641 43.481851 \nL 272.341567 45.586412 \nL 275.05753 47.810251 \nL 277.615471 50.153334 \nL 280.00994 52.615484 \nL 282.236142 55.196399 \nL 284.289943 57.895601 \nL 286.167862 60.712426 \nL 287.867081 63.646025 \nL 289.385444 66.695298 \nL 290.721447 69.858935 \nL 291.874234 73.135369 \nL 292.843575 76.522757 \nL 293.629854 80.018975 \nL 294.234059 83.6216 \nL 294.657741 87.3279 \nL 294.903002 91.13482 \nL 294.962736 96.029784 \nL 294.754028 101.069289 \nL 294.284184 106.245133 \nL 293.561499 111.548236 \nL 292.595164 116.968652 \nL 291.395123 122.495552 \nL 289.972001 128.117239 \nL 287.985538 134.970632 \nL 285.714002 141.919081 \nL 283.178077 148.937598 \nL 280.398738 155.999602 \nL 277.397027 163.077028 \nL 273.641812 171.314211 \nL 269.644726 179.48357 \nL 265.436983 187.534557 \nL 261.048247 195.415263 \nL 256.50633 203.072917 \nL 251.836987 210.454429 \nL 247.751159 216.521594 \nL 243.602482 222.314291 \nL 239.403168 227.800546 \nL 235.164183 232.949464 \nL 231.608467 236.961197 \nL 228.037055 240.70196 \nL 224.454475 244.156502 \nL 220.864788 247.31061 \nL 217.271625 250.151258 \nL 213.678237 252.666657 \nL 210.805342 254.437743 \nL 207.935555 255.989301 \nL 205.070159 257.317267 \nL 202.210367 258.418232 \nL 199.357349 259.289433 \nL 196.512238 259.928744 \nL 193.676172 260.334783 \nL 190.8503 260.506834 \nL 188.035802 260.444861 \nL 185.233927 260.149537 \nL 182.445996 259.622235 \nL 179.673431 258.865009 \nL 176.917764 257.880577 \nL 174.180669 256.672342 \nL 171.463968 255.244322 \nL 168.76966 253.601168 \nL 166.099922 251.74814 \nL 163.457128 249.691065 \nL 160.195488 246.842491 \nL 156.985527 243.698594 \nL 153.833351 240.274046 \nL 150.745632 236.584515 \nL 147.729635 232.646586 \nL 144.793205 228.477609 \nL 141.944784 224.095601 \nL 138.65556 218.582084 \nL 135.522638 212.821201 \nL 132.563638 206.846167 \nL 129.797087 200.690368 \nL 127.242279 194.38708 \nL 124.91911 187.969168 \nL 123.174717 182.556621 \nL 121.617137 177.105028 \nL 120.25821 171.632029 \nL 119.109676 166.154654 \nL 118.183033 160.689254 \nL 117.489463 155.251436 \nL 117.039714 149.856008 \nL 116.843949 144.516934 \nL 116.911647 139.247304 \nL 117.161389 135.089817 \nL 117.589358 130.990405 \nL 118.199189 126.954502 \nL 118.99406 122.987163 \nL 119.97667 119.093065 \nL 121.149191 115.276509 \nL 122.513293 111.54143 \nL 124.070026 107.891409 \nL 125.819878 104.329667 \nL 127.762717 100.859091 \nL 129.897759 97.48225 \nL 132.223576 94.201397 \nL 134.738074 91.018503 \nL 137.438471 87.935263 \nL 140.321313 84.953104 \nL 143.382449 82.073234 \nL 146.617049 79.296654 \nL 150.019608 76.624148 \nL 153.583928 74.056348 \nL 158.256319 70.994571 \nL 163.155917 68.097813 \nL 168.266401 65.366499 \nL 173.570026 62.800896 \nL 179.04765 60.401144 \nL 184.678878 58.167324 \nL 190.442162 56.099542 \nL 196.314896 54.19794 \nL 203.473502 52.135737 \nL 210.713755 50.313908 \nL 217.992336 48.733488 \nL 225.265061 47.395967 \nL 232.487272 46.303264 \nL 239.614244 45.457754 \nL 246.601597 44.862271 \nL 253.4057 44.520064 \nL 259.984088 44.43472 \nL 266.295848 44.61011 \nL 271.323788 44.958365 \nL 276.118111 45.492876 \nL 280.658725 46.216008 \nL 284.9269 47.130062 \nL 288.905406 48.237199 \nL 291.869089 49.263262 \nL 294.630106 50.415077 \nL 297.181952 51.693433 \nL 299.518842 53.098967 \nL 301.635751 54.632168 \nL 303.528436 56.293352 \nL 305.193428 58.082654 \nL 306.628035 59.999949 \nL 307.830363 62.044936 \nL 308.799287 64.217048 \nL 309.53447 66.515463 \nL 310.036316 68.939098 \nL 310.305988 71.486574 \nL 310.345365 74.156224 \nL 310.157032 76.946101 \nL 309.744246 79.853911 \nL 309.110903 82.877077 \nL 308.261505 86.01269 \nL 306.903709 90.085382 \nL 305.227335 94.321677 \nL 303.24461 98.713754 \nL 300.968781 103.253011 \nL 297.870857 108.881136 \nL 294.39709 114.689982 \nL 290.574492 120.660344 \nL 285.711098 127.802239 \nL 280.455848 135.100552 \nL 274.853933 142.517686 \nL 268.084574 151.088823 \nL 260.985717 159.700858 \nL 253.619373 168.288848 \nL 246.043814 176.785888 \nL 238.312866 185.12382 \nL 230.475456 193.234011 \nL 223.564912 200.089948 \nL 216.632433 206.674298 \nL 209.700976 212.943323 \nL 203.775792 218.033864 \nL 197.877104 222.83659 \nL 192.014529 227.327689 \nL 186.196434 231.484959 \nL 181.387275 234.679618 \nL 176.617768 237.617555 \nL 171.891234 240.289136 \nL 167.210674 242.685842 \nL 162.578855 244.800294 \nL 157.998373 246.626418 \nL 153.471742 248.159406 \nL 149.001462 249.395776 \nL 144.590082 250.333395 \nL 141.105179 250.867827 \nL 137.661139 251.210795 \nL 134.259529 251.363115 \nL 130.902036 251.32616 \nL 127.590476 251.101869 \nL 124.326841 250.692703 \nL 121.113278 250.101683 \nL 117.952144 249.332324 \nL 114.845972 248.388665 \nL 111.044799 246.970901 \nL 107.339749 245.297672 \nL 103.737258 243.379828 \nL 100.244345 241.229209 \nL 96.868615 238.85846 \nL 93.618254 236.28107 \nL 90.502008 233.511154 \nL 87.529116 230.563404 \nL 84.709422 227.452981 \nL 82.053147 224.195415 \nL 79.570971 220.806445 \nL 77.273939 217.301948 \nL 75.173357 213.697839 \nL 73.280797 210.009942 \nL 71.607945 206.25389 \nL 70.16653 202.445039 \nL 68.968249 198.598361 \nL 68.024684 194.728388 \nL 67.347121 190.849089 \nL 66.946559 186.973822 \nL 66.832623 183.885056 \nL 66.907845 180.813157 \nL 67.177082 177.763957 \nL 67.644908 174.742965 \nL 68.315554 171.755341 \nL 69.192895 168.805893 \nL 70.280419 165.899074 \nL 71.581167 163.03897 \nL 73.097724 160.229306 \nL 74.832192 157.473444 \nL 76.78615 154.774387 \nL 78.960672 152.134783 \nL 81.35625 149.556936 \nL 83.972816 147.042813 \nL 86.809718 144.594059 \nL 89.865674 142.21201 \nL 93.138823 139.897714 \nL 97.531795 137.101266 \nL 102.253893 134.412817 \nL 107.297296 131.83276 \nL 112.652641 129.361008 \nL 118.309042 126.997059 \nL 124.254124 124.74007 \nL 130.47401 122.588944 \nL 138.278985 120.145515 \nL 146.428561 117.850285 \nL 154.890994 115.700827 \nL 163.632016 113.694883 \nL 174.133048 111.533447 \nL 184.901666 109.56253 \nL 195.872776 107.781092 \nL 206.97847 106.189532 \nL 218.148622 104.78986 \nL 230.901414 103.430035 \nL 243.536325 102.334078 \nL 254.409793 101.600359 \nL 265.037844 101.086482 \nL 275.34988 100.803047 \nL 285.277492 100.761788 \nL 293.431139 100.928654 \nL 301.214962 101.2908 \nL 308.592014 101.856439 \nL 315.527914 102.633639 \nL 320.947973 103.448481 \nL 326.023047 104.419771 \nL 330.738091 105.55131 \nL 335.079681 106.846466 \nL 338.276144 108.002324 \nL 341.22091 109.265899 \nL 343.909564 110.638101 \nL 346.338426 112.11953 \nL 348.50459 113.710483 \nL 350.405908 115.410905 \nL 352.040973 117.220398 \nL 353.409156 119.138183 \nL 354.510583 121.163089 \nL 355.346078 123.293553 \nL 355.917206 125.527596 \nL 356.226209 127.862829 \nL 356.275991 130.296431 \nL 356.070118 132.825159 \nL 355.612754 135.445352 \nL 354.908631 138.152916 \nL 353.963031 140.943344 \nL 352.781695 143.81171 \nL 350.983073 147.498624 \nL 348.838941 151.28772 \nL 346.363237 155.166838 \nL 343.570583 159.122957 \nL 340.476266 163.142262 \nL 337.095997 167.210207 \nL 332.684811 172.134499 \nL 327.913 177.07957 \nL 322.808736 182.017102 \nL 317.399928 186.918033 \nL 311.71404 191.752817 \nL 305.777842 196.491671 \nL 299.617211 201.10483 \nL 293.256938 205.562834 \nL 286.720611 209.836819 \nL 280.030543 213.898729 \nL 274.35319 217.1022 \nL 268.595036 220.124821 \nL 262.766817 222.952513 \nL 256.878624 225.572057 \nL 250.939931 227.97118 \nL 244.959632 230.138696 \nL 238.94608 232.06451 \nL 232.907145 233.739749 \nL 226.850266 235.156805 \nL 220.78252 236.309391 \nL 214.710693 237.192609 \nL 208.641349 237.802943 \nL 202.580907 238.138331 \nL 196.535719 238.198126 \nL 190.51215 237.983186 \nL 184.51665 237.495761 \nL 178.555831 236.73958 \nL 172.636538 235.719726 \nL 166.765926 234.44268 \nL 160.951513 232.916211 \nL 155.201231 231.149314 \nL 149.523506 229.152237 \nL 143.927257 226.936262 \nL 138.421973 224.513728 \nL 133.017698 221.897895 \nL 127.725072 219.102855 \nL 122.555322 216.143424 \nL 117.520254 213.035047 \nL 112.632267 209.793669 \nL 106.979021 205.751503 \nL 101.579405 201.570155 \nL 96.457579 197.278715 \nL 91.638342 192.906297 \nL 87.147064 188.481781 \nL 83.673349 184.775366 \nL 80.460078 181.068497 \nL 77.522035 177.376723 \nL 74.873798 173.715034 \nL 72.529602 170.097777 \nL 70.503236 166.538582 \nL 68.807951 163.050277 \nL 67.698531 160.318751 \nL 66.815061 157.64599 \nL 66.163212 155.037317 \nL 65.748209 152.497653 \nL 65.574842 150.031508 \nL 65.6474 147.64297 \nL 65.969654 145.335702 \nL 66.544841 143.112937 \nL 67.375591 140.97748 \nL 68.463927 138.931705 \nL 69.811255 136.977569 \nL 71.418319 135.116611 \nL 73.285199 133.349962 \nL 75.411301 131.678365 \nL 77.795342 130.102179 \nL 80.435336 128.621401 \nL 83.328616 127.235683 \nL 86.471799 125.944358 \nL 90.745954 124.461435 \nL 95.394809 123.121956 \nL 100.407262 121.922819 \nL 105.770701 120.860399 \nL 111.470985 119.930637 \nL 118.733901 118.983815 \nL 126.429738 118.213575 \nL 134.526314 117.611518 \nL 144.432517 117.110341 \nL 154.778385 116.813219 \nL 167.060883 116.707319 \nL 179.739476 116.834196 \nL 192.71351 117.178971 \nL 207.53402 117.812517 \nL 222.449395 118.694672 \nL 237.311242 119.818934 \nL 250.35859 121.020701 \nL 263.148174 122.415969 \nL 275.583793 124.010724 \nL 286.102554 125.576454 \nL 296.222461 127.308436 \nL 304.538201 128.931206 \nL 312.489708 130.687004 \nL 320.047925 132.581026 \nL 327.186445 134.618279 \nL 332.797443 136.428757 \nL 338.088349 138.344302 \nL 343.048413 140.366919 \nL 347.668352 142.498171 \nL 351.940403 144.739096 \nL 355.858255 147.090138 \nL 358.734248 149.05013 \nL 361.3787 151.080028 \nL 363.790422 153.179073 \nL 365.968843 155.346176 \nL 367.913986 157.579903 \nL 369.626422 159.87846 \nL 371.107294 162.239689 \nL 372.358249 164.661053 \nL 373.381482 167.139637 \nL 374.179681 169.672141 \nL 374.755943 172.254881 \nL 375.113858 174.883792 \nL 375.257406 177.554428 \nL 375.190943 180.261975 \nL 374.919145 183.001256 \nL 374.447043 185.766751 \nL 373.779907 188.552594 \nL 372.680183 192.05407 \nL 371.295604 195.564931 \nL 369.637821 199.071802 \nL 367.71877 202.560683 \nL 365.550559 206.017076 \nL 363.145411 209.426046 \nL 360.515536 212.772326 \nL 357.673055 216.040391 \nL 354.629892 219.214593 \nL 351.397745 222.279244 \nL 347.987977 225.218714 \nL 344.411577 228.017567 \nL 340.679063 230.66065 \nL 336.800509 233.133214 \nL 332.785507 235.420992 \nL 328.643055 237.510356 \nL 324.381637 239.388366 \nL 320.009188 241.042909 \nL 315.533117 242.462772 \nL 310.960272 243.63771 \nL 306.296982 244.558565 \nL 301.549142 245.217288 \nL 297.69366 245.550922 \nL 293.790152 245.709477 \nL 289.84107 245.690561 \nL 285.848746 245.492314 \nL 280.800918 244.990375 \nL 275.693172 244.204881 \nL 270.529522 243.135877 \nL 265.313953 241.784735 \nL 260.050419 240.154236 \nL 254.742987 238.248418 \nL 249.395868 236.072701 \nL 244.013518 233.633727 \nL 238.600702 230.939378 \nL 233.162566 227.998677 \nL 227.704715 224.821756 \nL 221.137931 220.713419 \nL 214.563304 216.302143 \nL 207.993871 211.610787 \nL 201.444124 206.663782 \nL 194.930099 201.486923 \nL 187.399171 195.192672 \nL 179.971766 188.666432 \nL 172.681729 181.953579 \nL 165.565833 175.100153 \nL 158.663593 168.152382 \nL 152.016973 161.156212 \nL 145.670014 154.156863 \nL 139.668383 147.198409 \nL 134.058836 140.323385 \nL 129.598469 134.52777 \nL 125.490415 128.847634 \nL 121.763795 123.305929 \nL 118.44692 117.92414 \nL 116.015428 113.575892 \nL 113.902179 109.363198 \nL 112.121119 105.295882 \nL 110.685169 101.382909 \nL 109.792792 98.369117 \nL 109.134209 95.463033 \nL 108.714221 92.668038 \nL 108.537024 89.98714 \nL 108.606117 87.422998 \nL 108.924358 84.977905 \nL 109.49384 82.653818 \nL 110.315946 80.452344 \nL 111.391281 78.374763 \nL 112.719653 76.42204 \nL 114.300066 74.594818 \nL 116.130724 72.893454 \nL 118.20901 71.318021 \nL 120.531494 69.868349 \nL 123.093956 68.544013 \nL 125.891361 67.344394 \nL 128.917882 66.268624 \nL 132.16694 65.315684 \nL 136.529962 64.295467 \nL 141.213277 63.462753 \nL 146.19933 62.814693 \nL 151.468975 62.348266 \nL 157.001642 62.060292 \nL 163.957105 61.945751 \nL 171.219645 62.078012 \nL 178.747117 62.451675 \nL 186.495661 63.06162 \nL 194.4201 63.9031 \nL 202.474353 64.971857 \nL 210.611842 66.264125 \nL 218.785893 67.776736 \nL 226.950144 69.507075 \nL 235.05894 71.453116 \nL 243.067709 73.613353 \nL 250.933334 75.986732 \nL 258.614481 78.572575 \nL 264.846155 80.889445 \nL 270.90101 83.353419 \nL 276.758881 85.964355 \nL 282.400962 88.722041 \nL 287.809884 91.626145 \nL 292.969824 94.676162 \nL 297.866507 97.871304 \nL 301.585763 100.531182 \nL 305.122706 103.282488 \nL 308.472316 106.124282 \nL 311.630272 109.055414 \nL 314.592937 112.074502 \nL 317.357361 115.179904 \nL 319.921287 118.369712 \nL 322.283102 121.641724 \nL 324.44188 124.993424 \nL 326.397324 128.421977 \nL 328.1498 131.924212 \nL 329.700211 135.496601 \nL 331.050078 139.135263 \nL 332.201458 142.835951 \nL 333.156925 146.594044 \nL 333.919577 150.404549 \nL 334.492912 154.262098 \nL 334.880897 158.160949 \nL 335.087856 162.094992 \nL 335.099152 167.052149 \nL 334.844733 172.040756 \nL 334.335072 177.046595 \nL 333.581144 182.054675 \nL 332.594304 187.049287 \nL 331.386247 192.014091 \nL 329.968808 196.932155 \nL 328.353946 201.786073 \nL 326.553552 206.558043 \nL 324.579426 211.229978 \nL 322.443137 215.78359 \nL 320.155983 220.200508 \nL 317.728883 224.462409 \nL 315.172354 228.55113 \nL 312.496437 232.448782 \nL 309.71062 236.137889 \nL 306.823874 239.601508 \nL 303.844574 242.823337 \nL 300.780488 245.787842 \nL 297.638791 248.480403 \nL 294.42604 250.887389 \nL 291.808714 252.598919 \nL 289.152537 254.113788 \nL 286.460058 255.426664 \nL 283.733616 256.532783 \nL 280.975343 257.427921 \nL 278.187159 258.108482 \nL 275.370838 258.5715 \nL 272.527957 258.814601 \nL 269.65995 258.836068 \nL 266.768139 258.634846 \nL 263.853729 258.210528 \nL 260.917822 257.563371 \nL 257.961463 256.694295 \nL 254.985649 255.604852 \nL 251.991354 254.297254 \nL 248.979545 252.774318 \nL 245.191661 250.573149 \nL 241.379987 248.048982 \nL 237.546713 245.211239 \nL 233.694271 242.070636 \nL 229.825393 238.639128 \nL 225.94317 234.929804 \nL 221.271864 230.131833 \nL 216.593401 224.980311 \nL 211.91586 219.503045 \nL 207.248524 213.729189 \nL 201.830376 206.65861 \nL 196.459686 199.27503 \nL 191.158142 191.628836 \nL 185.215165 182.633841 \nL 179.434564 173.437552 \nL 173.860633 164.114142 \nL 168.541246 154.735669 \nL 164.135509 146.538794 \nL 159.999048 138.39689 \nL 156.1682 130.351703 \nL 153.155605 123.562544 \nL 150.417381 116.896242 \nL 147.976017 110.374219 \nL 145.853294 104.016255 \nL 144.342752 98.856378 \nL 143.079214 93.832623 \nL 142.073217 88.953754 \nL 141.334404 84.227728 \nL 140.87142 79.661696 \nL 140.691799 75.262033 \nL 140.756405 71.865886 \nL 141.009057 68.582341 \nL 141.451827 65.413621 \nL 142.086177 62.361682 \nL 142.912965 59.428181 \nL 143.932402 56.614535 \nL 145.144054 53.921921 \nL 146.546813 51.351253 \nL 148.138905 48.903246 \nL 149.917878 46.578406 \nL 151.880577 44.37706 \nL 154.023171 42.29936 \nL 156.341161 40.345295 \nL 158.829362 38.514752 \nL 161.48195 36.807473 \nL 164.292451 35.223113 \nL 168.016784 33.414851 \nL 171.961599 31.796989 \nL 176.110376 30.368456 \nL 180.445323 29.128109 \nL 184.947489 28.074788 \nL 189.596866 27.207387 \nL 194.372529 26.524859 \nL 199.252766 26.026268 \nL 204.21521 25.710797 \nL 210.246436 25.573062 \nL 216.322942 25.697345 \nL 222.404234 26.083219 \nL 228.44985 26.730695 \nL 233.431707 27.47036 \nL 238.338214 28.392349 \nL 243.147138 29.49722 \nL 247.836939 30.785645 \nL 252.386883 32.258404 \nL 256.777171 33.916329 \nL 260.989087 35.760254 \nL 265.005093 37.790965 \nL 268.808917 40.009208 \nL 271.689141 41.919232 \nL 274.417041 43.949882 \nL 276.986272 46.101298 \nL 279.391117 48.373481 \nL 281.6265 50.766317 \nL 283.688013 53.279529 \nL 285.571906 55.912693 \nL 287.275103 58.665181 \nL 288.795187 61.536169 \nL 290.130419 64.524611 \nL 291.279707 67.629224 \nL 292.2426 70.848458 \nL 293.019291 74.180498 \nL 293.610583 77.623262 \nL 294.017863 81.174359 \nL 294.243103 84.831098 \nL 294.288809 88.590466 \nL 294.098092 93.428881 \nL 293.638555 98.415154 \nL 292.918202 103.54118 \nL 291.946025 108.798024 \nL 290.731874 114.175874 \nL 289.28632 119.664064 \nL 287.262023 126.379259 \nL 284.940963 133.215201 \nL 282.344166 140.148676 \nL 279.493127 147.154833 \nL 276.409529 154.207271 \nL 272.546879 162.456396 \nL 268.430833 170.684136 \nL 264.094071 178.841976 \nL 259.567855 186.879691 \nL 254.881641 194.74582 \nL 250.062844 202.388132 \nL 245.136634 209.75419 \nL 240.846038 215.808559 \nL 236.506288 221.589402 \nL 232.129057 227.065264 \nL 227.724752 232.205787 \nL 223.302589 236.982026 \nL 219.609674 240.664252 \nL 215.91412 244.059814 \nL 212.219609 247.155075 \nL 208.529422 249.937558 \nL 204.846502 252.396041 \nL 201.907188 254.1229 \nL 198.97548 255.631685 \nL 196.052562 256.91864 \nL 193.139566 257.980639 \nL 190.237602 258.815186 \nL 187.347763 259.420481 \nL 184.47117 259.795393 \nL 181.608975 259.939451 \nL 178.762389 259.852903 \nL 175.932708 259.536652 \nL 173.121314 258.992302 \nL 170.329724 258.22212 \nL 167.559574 257.229028 \nL 164.812677 256.016621 \nL 162.091003 254.589098 \nL 159.396712 252.951266 \nL 156.73216 251.108502 \nL 153.447235 248.525975 \nL 150.218334 245.645325 \nL 147.051523 242.48044 \nL 143.953485 239.046328 \nL 140.931481 235.358886 \nL 137.993375 231.434897 \nL 135.14763 227.291805 \nL 132.40326 222.947647 \nL 129.769858 218.420903 \nL 127.257509 213.73038 \nL 124.417394 207.912316 \nL 121.785879 201.918711 \nL 119.766522 196.813611 \nL 117.917432 191.628158 \nL 116.250491 186.38079 \nL 114.777645 181.089549 \nL 113.510843 175.771972 \nL 112.461872 170.444996 \nL 111.642328 165.124907 \nL 111.063425 159.827259 \nL 110.735911 154.566822 \nL 110.669962 149.357532 \nL 110.87508 144.212454 \nL 111.240153 140.150832 \nL 111.788277 136.143916 \nL 112.523031 132.197139 \nL 113.447547 128.315547 \nL 114.564478 124.50381 \nL 115.875962 120.76622 \nL 117.383554 117.106707 \nL 119.088284 113.528837 \nL 120.990528 110.03582 \nL 123.090063 106.63053 \nL 125.386027 103.31552 \nL 127.876892 100.093031 \nL 130.560447 96.965012 \nL 133.433805 93.933137 \nL 136.493386 90.998825 \nL 139.734915 88.163261 \nL 143.153441 85.427418 \nL 146.743304 82.792075 \nL 151.461863 79.640141 \nL 156.424369 76.647067 \nL 161.615402 73.813442 \nL 167.018036 71.139656 \nL 172.613888 68.62593 \nL 178.383215 66.272397 \nL 184.305018 64.079172 \nL 190.357145 62.046388 \nL 197.759011 59.819157 \nL 205.273344 57.823913 \nL 212.856865 56.061639 \nL 220.465129 54.533726 \nL 228.052921 53.24206 \nL 235.574648 52.188978 \nL 242.984751 51.377351 \nL 250.238103 50.810543 \nL 257.290448 50.4923 \nL 264.098785 50.426749 \nL 270.621768 50.618265 \nL 275.811189 50.97751 \nL 280.753635 51.521098 \nL 285.428918 52.251624 \nL 289.818277 53.171621 \nL 293.904488 54.283434 \nL 296.94466 55.312463 \nL 299.773621 56.466616 \nL 302.384934 57.746717 \nL 304.772897 59.153456 \nL 306.93259 60.687338 \nL 308.859879 62.348655 \nL 310.551426 64.137532 \nL 312.004675 66.053808 \nL 313.217893 68.097113 \nL 314.190122 70.26679 \nL 314.921205 72.561919 \nL 315.411727 74.981277 \nL 315.663059 77.523368 \nL 315.677282 80.186346 \nL 315.457187 82.968071 \nL 315.006236 85.866069 \nL 314.328547 88.877532 \nL 313.428854 91.999321 \nL 312.000124 96.05137 \nL 310.244281 100.262798 \nL 308.17397 104.625248 \nL 305.802859 109.129542 \nL 302.58099 114.707835 \nL 298.973451 120.457278 \nL 295.007893 126.357622 \nL 290.712746 132.387146 \nL 285.323752 139.553985 \nL 279.571521 146.826366 \nL 273.501586 154.163408 \nL 266.232455 162.573006 \nL 258.670042 170.945412 \nL 250.87434 179.213011 \nL 242.90098 187.307224 \nL 235.818586 194.193425 \nL 228.66989 200.848701 \nL 221.482591 207.228407 \nL 214.281331 213.289267 \nL 208.114232 218.199109 \nL 201.964888 222.819587 \nL 195.843934 227.127512 \nL 189.760746 231.101422 \nL 184.72625 234.143699 \nL 179.72798 236.930211 \nL 174.769805 239.451854 \nL 169.855263 241.700658 \nL 164.98765 243.669883 \nL 160.170105 245.354066 \nL 155.405646 246.749018 \nL 150.697285 247.851914 \nL 146.04807 248.661274 \nL 142.373433 249.097299 \nL 138.740397 249.345936 \nL 135.150791 249.408325 \nL 131.606542 249.286159 \nL 128.109731 248.981678 \nL 124.662592 248.497654 \nL 121.26754 247.83739 \nL 117.927151 247.004668 \nL 113.832834 245.727835 \nL 109.834262 244.19769 \nL 105.937883 242.424666 \nL 102.150774 240.420203 \nL 98.480481 238.19662 \nL 94.935192 235.76706 \nL 91.523641 233.145355 \nL 88.255089 230.345949 \nL 85.139323 227.383764 \nL 82.186611 224.274112 \nL 79.407666 221.032583 \nL 76.813544 217.674933 \nL 74.415656 214.216981 \nL 72.225653 210.674492 \nL 70.255345 207.063077 \nL 68.516635 203.398094 \nL 67.021425 199.694557 \nL 65.781504 195.967047 \nL 64.808452 192.229615 \nL 64.113544 188.495727 \nL 63.76521 185.519784 \nL 63.607199 182.560531 \nL 63.644575 179.623864 \nL 63.882152 176.715358 \nL 64.324425 173.840244 \nL 64.975519 171.003396 \nL 65.839174 168.209326 \nL 66.918741 165.462182 \nL 68.217122 162.76574 \nL 69.736731 160.123405 \nL 71.479512 157.538211 \nL 73.44687 155.01283 \nL 75.639651 152.549575 \nL 78.0582 150.150411 \nL 80.702217 147.816963 \nL 83.570847 145.550531 \nL 86.662625 143.352109 \nL 89.975448 141.222394 \nL 94.423164 138.657495 \nL 99.205368 136.20088 \nL 104.313851 133.852279 \nL 109.738952 131.610944 \nL 115.469454 129.475722 \nL 121.492683 127.445141 \nL 129.087035 125.144128 \nL 137.055567 122.988029 \nL 145.368563 120.973422 \nL 153.993695 119.096937 \nL 164.404443 117.078105 \nL 175.133875 115.238742 \nL 186.119552 113.575658 \nL 197.295977 112.087038 \nL 210.215276 110.599166 \nL 223.190329 109.3414 \nL 236.114587 108.31938 \nL 248.88071 107.541945 \nL 261.381878 107.020952 \nL 272.020462 106.786853 \nL 282.307401 106.771457 \nL 292.176903 106.98703 \nL 300.256677 107.365431 \nL 307.946557 107.931358 \nL 315.211754 108.6931 \nL 322.020153 109.658686 \nL 327.323693 110.624534 \nL 332.274404 111.741235 \nL 336.858603 113.012396 \nL 341.064271 114.441128 \nL 344.149291 115.699278 \nL 346.980945 117.060892 \nL 349.555515 118.526666 \nL 351.869984 120.096979 \nL 353.922099 121.771872 \nL 355.710328 123.551031 \nL 357.23387 125.433769 \nL 358.492668 127.419008 \nL 359.487352 129.505261 \nL 360.219282 131.690642 \nL 360.690481 133.972839 \nL 360.903602 136.349113 \nL 360.86195 138.816297 \nL 360.5694 141.370797 \nL 360.0304 144.008587 \nL 359.249969 146.725221 \nL 358.233573 149.515836 \nL 356.987123 152.375161 \nL 355.115246 156.037274 \nL 352.907029 159.785969 \nL 350.376409 163.60847 \nL 347.537964 167.49118 \nL 344.406763 171.419752 \nL 340.99823 175.379156 \nL 336.563983 180.149107 \nL 331.780213 184.912988 \nL 326.674153 189.642027 \nL 321.272674 194.306881 \nL 315.602084 198.8779 \nL 309.687936 203.325375 \nL 303.554791 207.619843 \nL 297.226149 211.732342 \nL 291.81905 215.000062 \nL 286.303893 218.106083 \nL 280.692271 221.03528 \nL 274.995126 223.773249 \nL 269.222789 226.306431 \nL 263.384963 228.622189 \nL 257.490781 230.708905 \nL 251.548824 232.556071 \nL 245.567184 234.154361 \nL 239.553506 235.495709 \nL 233.515053 236.57333 \nL 227.458767 237.381831 \nL 221.391341 237.917228 \nL 215.319301 238.176951 \nL 209.249074 238.15993 \nL 203.187067 237.866484 \nL 197.139752 237.298445 \nL 191.113729 236.459081 \nL 185.115807 235.353068 \nL 179.153096 233.986472 \nL 173.233031 232.366733 \nL 167.363472 230.502502 \nL 161.552752 228.403707 \nL 155.80969 226.081387 \nL 150.143702 223.54766 \nL 144.564757 220.815611 \nL 139.083443 217.899198 \nL 133.710971 214.81316 \nL 128.459163 211.572906 \nL 122.333809 207.503548 \nL 116.422725 203.263579 \nL 110.749585 198.882075 \nL 105.339085 194.388506 \nL 100.216733 189.812435 \nL 95.408678 185.183234 \nL 90.941468 180.529832 \nL 87.49844 176.653901 \nL 84.326078 172.796627 \nL 81.439601 168.973298 \nL 78.853963 165.198577 \nL 76.58365 161.486408 \nL 74.642601 157.849952 \nL 73.044066 154.30152 \nL 72.02025 151.533849 \nL 71.229563 148.835234 \nL 70.677506 146.210673 \nL 70.369109 143.664755 \nL 70.308911 141.201643 \nL 70.500915 138.825074 \nL 70.948538 136.538353 \nL 71.654582 134.344362 \nL 72.621219 132.245545 \nL 73.850005 130.243927 \nL 75.341785 128.341123 \nL 77.096719 126.538327 \nL 79.114259 124.836353 \nL 81.393146 123.235625 \nL 83.931415 121.736205 \nL 86.726333 120.337811 \nL 89.77448 119.039832 \nL 93.071731 117.841353 \nL 97.536105 116.48134 \nL 102.371052 115.272037 \nL 107.563904 114.210018 \nL 113.100401 113.291399 \nL 120.175511 112.372332 \nL 127.692709 111.645743 \nL 135.619275 111.103381 \nL 143.919957 110.736839 \nL 154.026801 110.5203 \nL 164.528903 110.518906 \nL 175.360387 110.720672 \nL 188.054996 111.186276 \nL 200.986254 111.889513 \nL 214.048152 112.8196 \nL 227.13436 113.968993 \nL 240.139497 115.333452 \nL 252.960335 116.912008 \nL 263.948739 118.470458 \nL 274.655281 120.197517 \nL 285.018894 122.097647 \nL 294.982133 124.176335 \nL 303.162832 126.104841 \nL 310.979132 128.173117 \nL 318.402661 130.385187 \nL 324.270343 132.341164 \nL 329.834121 134.401606 \nL 335.082162 136.568189 \nL 340.00405 138.842215 \nL 344.590912 141.224538 \nL 348.835328 143.715485 \nL 351.980318 145.786294 \nL 354.900044 147.926027 \nL 357.592814 150.133956 \nL 360.057543 152.409046 \nL 362.293726 154.749937 \nL 364.301456 157.154931 \nL 366.081372 159.621981 \nL 367.634687 162.148681 \nL 368.963128 164.732254 \nL 370.068934 167.369554 \nL 370.954851 170.057061 \nL 371.624044 172.790875 \nL 372.080117 175.566725 \nL 372.32707 178.379972 \nL 372.369271 181.225612 \nL 372.21142 184.098294 \nL 371.858535 186.992326 \nL 371.315865 189.901684 \nL 370.379057 193.550266 \nL 369.165467 197.199893 \nL 367.68663 200.836928 \nL 365.954323 204.447164 \nL 363.980516 208.015907 \nL 361.777227 211.528043 \nL 359.356415 214.968163 \nL 356.729971 218.320642 \nL 353.909556 221.569729 \nL 350.906583 224.699683 \nL 347.732071 227.694843 \nL 344.39669 230.539768 \nL 340.910627 233.219328 \nL 337.283576 235.718831 \nL 333.524754 238.024109 \nL 329.642769 240.121629 \nL 325.645706 241.998594 \nL 321.541088 243.643077 \nL 317.335866 245.044024 \nL 313.036454 246.191446 \nL 309.533069 246.920794 \nL 305.975969 247.478109 \nL 302.367749 247.859848 \nL 298.710845 248.062966 \nL 295.007516 248.084972 \nL 291.259881 247.923894 \nL 287.469954 247.578304 \nL 283.639626 247.047344 \nL 278.79767 246.122575 \nL 273.898861 244.908388 \nL 268.946549 243.406768 \nL 263.944083 241.621088 \nL 258.894894 239.556025 \nL 253.802572 237.217547 \nL 248.670919 234.612854 \nL 243.504053 231.750359 \nL 238.306464 228.639591 \nL 232.035783 224.593949 \nL 225.7375 220.226287 \nL 219.422343 215.558661 \nL 213.102385 210.614768 \nL 206.791165 205.419737 \nL 199.459343 199.076686 \nL 192.186775 192.471242 \nL 185.003281 185.648267 \nL 177.941735 178.653478 \nL 171.037966 171.532976 \nL 164.330571 164.33279 \nL 157.860633 157.098436 \nL 151.671371 149.874513 \nL 145.807646 142.704306 \nL 140.315447 135.629436 \nL 135.241259 128.689527 \nL 131.259774 122.876824 \nL 127.648096 117.212791 \nL 124.434042 111.717989 \nL 122.078635 107.282009 \nL 120.03242 102.986898 \nL 118.309054 98.841974 \nL 116.921159 94.855714 \nL 116.060088 91.786108 \nL 115.426315 88.826474 \nL 115.024483 85.979986 \nL 114.858628 83.249483 \nL 114.932135 80.637453 \nL 115.247712 78.146048 \nL 115.807327 75.777088 \nL 116.612236 73.532083 \nL 117.662899 71.41222 \nL 118.959016 69.418402 \nL 120.499492 67.551222 \nL 122.282438 65.811017 \nL 124.305134 64.197875 \nL 126.564093 62.711638 \nL 129.054982 61.351923 \nL 131.772723 60.118156 \nL 134.711429 59.009566 \nL 137.864473 58.02525 \nL 142.095907 56.967962 \nL 146.634714 56.100835 \nL 151.463321 55.42131 \nL 156.562606 54.926677 \nL 161.912022 54.614137 \nL 167.489738 54.480839 \nL 174.451918 54.553484 \nL 181.668095 54.875419 \nL 189.094965 55.442166 \nL 196.687918 56.249595 \nL 204.401442 57.294043 \nL 212.18954 58.572301 \nL 220.006138 60.081715 \nL 227.805495 61.820122 \nL 235.542599 63.785902 \nL 243.173553 65.977887 \nL 250.655948 68.39528 \nL 256.74845 70.581606 \nL 262.687208 72.923954 \nL 268.451025 75.422209 \nL 274.019948 78.076211 \nL 279.37543 80.885748 \nL 284.500343 83.850457 \nL 289.379081 86.969757 \nL 293.997642 90.242799 \nL 297.496786 92.971124 \nL 300.815892 95.796278 \nL 303.950077 98.717261 \nL 306.895151 101.732851 \nL 309.647622 104.8416 \nL 312.204693 108.041785 \nL 314.56425 111.331419 \nL 316.724835 114.708211 \nL 318.685664 118.169561 \nL 320.446612 121.712542 \nL 322.008148 125.333882 \nL 323.371346 129.02996 \nL 324.537853 132.79679 \nL 325.509876 136.630015 \nL 326.290146 140.524903 \nL 326.881844 144.476344 \nL 327.288626 148.478852 \nL 327.514553 152.526561 \nL 327.549437 157.640222 \nL 327.318125 162.80175 \nL 326.830736 167.997295 \nL 326.09796 173.21218 \nL 325.131037 178.430955 \nL 323.941514 183.63745 \nL 322.541203 188.81484 \nL 320.942028 193.945728 \nL 319.155971 199.012234 \nL 317.194948 203.996066 \nL 315.070721 208.878645 \nL 312.794789 213.641197 \nL 310.378333 218.264872 \nL 307.832164 222.730856 \nL 305.166634 227.020507 \nL 302.391605 231.115458 \nL 299.516401 234.997754 \nL 296.549786 238.649985 \nL 293.499923 242.055422 \nL 290.374388 245.198115 \nL 287.180159 248.063001 \nL 283.923601 250.636088 \nL 281.277388 252.475752 \nL 278.597698 254.114363 \nL 275.887022 255.54643 \nL 273.147632 256.767019 \nL 270.381595 257.771801 \nL 267.590811 258.557065 \nL 264.777005 259.119711 \nL 261.941744 259.457313 \nL 259.086463 259.56809 \nL 256.212491 259.450928 \nL 253.321057 259.105391 \nL 250.413314 258.531737 \nL 247.490366 257.730887 \nL 244.553284 256.704435 \nL 241.603127 255.454631 \nL 238.640968 253.98436 \nL 235.667918 252.297175 \nL 231.938065 249.889515 \nL 228.195461 247.158812 \nL 224.442809 244.115818 \nL 220.683124 240.772549 \nL 216.919793 237.142246 \nL 213.156631 233.2392 \nL 208.647137 228.217062 \nL 204.152509 222.852207 \nL 199.682339 217.174145 \nL 195.247461 211.213599 \nL 190.134317 203.944835 \nL 185.107352 196.385963 \nL 180.190581 188.588837 \nL 175.410409 180.605308 \nL 170.795469 172.486678 \nL 166.376431 164.283207 \nL 162.185656 156.043661 \nL 158.256891 147.814908 \nL 154.624815 139.64157 \nL 151.774353 132.711931 \nL 149.189738 125.878854 \nL 146.8927 119.165631 \nL 144.904356 112.593892 \nL 143.497842 107.239948 \nL 142.330832 102.008719 \nL 141.41369 96.909973 \nL 140.75597 91.952624 \nL 140.366281 87.144739 \nL 140.25218 82.49358 \nL 140.36368 78.88984 \nL 140.65839 75.393471 \nL 141.138496 72.007092 \nL 141.805586 68.733023 \nL 142.660672 65.573282 \nL 143.704143 62.529633 \nL 144.935764 59.603544 \nL 146.354643 56.796257 \nL 147.959227 54.108762 \nL 149.747295 51.541839 \nL 151.715956 49.096055 \nL 153.861649 46.77179 \nL 156.180148 44.569276 \nL 158.666549 42.488573 \nL 161.315294 40.529612 \nL 164.120199 38.692232 \nL 167.074443 36.97615 \nL 170.965909 35.001088 \nL 175.063353 33.214195 \nL 179.349718 31.614577 \nL 183.80673 30.201284 \nL 188.414998 28.973389 \nL 193.154134 27.92996 \nL 198.002896 27.070201 \nL 202.939301 26.393404 \nL 207.940785 25.899001 \nL 213.996051 25.545928 \nL 220.071603 25.454606 \nL 226.126942 25.62509 \nL 232.121732 26.057794 \nL 237.042412 26.61928 \nL 241.870846 27.364091 \nL 246.585087 28.293022 \nL 251.163911 29.406988 \nL 255.586971 30.706978 \nL 259.834917 32.194049 \nL 263.889525 33.869252 \nL 267.733787 35.733571 \nL 271.352046 37.787928 \nL 274.074292 39.568763 \nL 276.636131 41.472022 \nL 279.031566 43.497916 \nL 281.255264 45.646543 \nL 283.302543 47.917858 \nL 285.169405 50.311667 \nL 286.852531 52.827598 \nL 288.349256 55.46512 \nL 289.657619 58.22347 \nL 290.776311 61.101684 \nL 291.704692 64.09854 \nL 292.442778 67.212584 \nL 292.991216 70.4421 \nL 293.351264 73.785085 \nL 293.524774 77.239264 \nL 293.514164 80.802038 \nL 293.246527 85.403773 \nL 292.702754 90.164288 \nL 291.890852 95.076424 \nL 290.819896 100.13221 \nL 289.499836 105.322861 \nL 287.941462 110.638747 \nL 285.773016 117.16834 \nL 283.298752 123.843531 \nL 280.540393 130.643002 \nL 277.520207 137.5438 \nL 273.695801 145.690005 \nL 269.581459 153.899224 \nL 265.212423 162.127479 \nL 260.622908 170.328562 \nL 255.84566 178.454377 \nL 250.911613 186.455318 \nL 245.849599 194.280704 \nL 240.68614 201.879258 \nL 235.445304 209.199634 \nL 230.148636 216.190967 \nL 225.578695 221.883872 \nL 220.992314 227.26801 \nL 216.39879 232.314192 \nL 211.806242 236.994672 \nL 207.984973 240.596921 \nL 204.172847 243.91317 \nL 200.373016 246.930536 \nL 196.588277 249.63731 \nL 192.821136 252.023078 \nL 189.073873 254.078781 \nL 186.091803 255.480516 \nL 183.124842 256.662866 \nL 180.174017 257.623236 \nL 177.240347 258.359686 \nL 174.324886 258.870933 \nL 171.428733 259.156348 \nL 168.553063 259.215983 \nL 165.699125 259.050529 \nL 162.868301 258.66136 \nL 160.062093 258.05053 \nL 157.282153 257.220695 \nL 154.530288 256.175176 \nL 151.808505 254.917914 \nL 149.118999 253.453444 \nL 146.46416 251.786867 \nL 143.846622 249.92384 \nL 140.631505 247.328242 \nL 137.485228 244.448496 \nL 134.414482 241.29878 \nL 131.426561 237.8943 \nL 128.529353 234.251084 \nL 125.73136 230.385906 \nL 123.041654 226.316172 \nL 120.469844 222.059784 \nL 118.026085 217.634984 \nL 115.720969 213.060277 \nL 113.565518 208.354274 \nL 111.571108 203.53559 \nL 109.749379 198.62271 \nL 108.112188 193.633901 \nL 106.671482 188.587097 \nL 105.43922 183.499808 \nL 104.427283 178.389014 \nL 103.647333 173.2711 \nL 103.110745 168.161771 \nL 102.828428 163.075999 \nL 102.810809 158.027964 \nL 102.993849 154.025703 \nL 103.357161 150.062579 \nL 103.905022 146.144658 \nL 104.641308 142.277631 \nL 105.569483 138.466812 \nL 106.692519 134.717142 \nL 108.012899 131.033183 \nL 109.532599 127.419125 \nL 111.253004 123.878792 \nL 113.17496 120.415647 \nL 115.29866 117.03281 \nL 117.623705 113.733061 \nL 120.148996 110.518861 \nL 122.872803 107.39237 \nL 125.792718 104.355442 \nL 128.905642 101.409676 \nL 132.20778 98.556417 \nL 135.69465 95.796783 \nL 139.361078 93.13168 \nL 144.187616 89.934324 \nL 149.272552 86.886862 \nL 154.601313 83.990029 \nL 160.157763 81.24432 \nL 165.924269 78.650037 \nL 171.881764 76.207375 \nL 178.009839 73.91647 \nL 184.286847 71.777479 \nL 191.983698 69.411539 \nL 199.820906 67.265285 \nL 207.755444 65.339675 \nL 215.742873 63.636115 \nL 223.737702 62.156502 \nL 231.693775 60.903269 \nL 239.56467 59.879403 \nL 247.304105 59.088445 \nL 254.866349 58.534425 \nL 262.206628 58.221823 \nL 269.281546 58.155475 \nL 276.049453 58.340456 \nL 281.426287 58.690349 \nL 286.540899 59.221433 \nL 291.373079 59.936665 \nL 295.904094 60.838861 \nL 300.116776 61.930651 \nL 303.247263 62.942217 \nL 306.156967 64.07772 \nL 308.839522 65.338081 \nL 311.289341 66.724035 \nL 313.501605 68.236123 \nL 315.472325 69.874681 \nL 317.198286 71.639779 \nL 318.6771 73.531251 \nL 319.907212 75.54867 \nL 320.887821 77.691292 \nL 321.618962 79.958091 \nL 322.101412 82.347721 \nL 322.336725 84.858524 \nL 322.32719 87.488487 \nL 322.075823 90.235276 \nL 321.586296 93.096195 \nL 320.862942 96.068201 \nL 319.910688 99.147898 \nL 318.406949 103.143217 \nL 316.566114 107.292817 \nL 314.401242 111.587746 \nL 311.926418 116.018209 \nL 309.156574 120.573597 \nL 305.465438 126.18887 \nL 301.400186 131.946464 \nL 296.98976 137.82379 \nL 291.447237 144.799989 \nL 285.521781 151.86642 \nL 279.259785 158.981025 \nL 272.706577 166.100133 \nL 265.905839 173.178838 \nL 258.899173 180.171399 \nL 251.725707 187.031673 \nL 244.421809 193.713559 \nL 237.020924 200.171466 \nL 229.553454 206.36081 \nL 223.120579 211.419488 \nL 216.674402 216.223153 \nL 210.228852 220.747103 \nL 203.796409 224.968147 \nL 197.38821 228.864812 \nL 192.073763 231.850102 \nL 186.788257 234.586357 \nL 181.536446 237.064465 \nL 176.322703 239.276517 \nL 171.151121 241.215783 \nL 166.025559 242.876817 \nL 160.949735 244.255466 \nL 155.927324 245.348903 \nL 150.961972 246.15566 \nL 146.057423 246.675656 \nL 142.180172 246.885982 \nL 138.346426 246.914834 \nL 134.558385 246.764037 \nL 130.818382 246.435965 \nL 126.21473 245.781032 \nL 121.695251 244.860442 \nL 117.265618 243.682175 \nL 112.931963 242.25536 \nL 108.700981 240.590199 \nL 104.579852 238.697878 \nL 100.576364 236.590492 \nL 96.698804 234.280946 \nL 92.956057 231.782886 \nL 89.357522 229.110561 \nL 85.913122 226.278743 \nL 82.633262 223.302575 \nL 79.52877 220.197528 \nL 76.610885 216.979241 \nL 73.891154 213.663448 \nL 71.381412 210.265826 \nL 69.093663 206.801937 \nL 67.039982 203.287104 \nL 65.232488 199.736321 \nL 63.683243 196.164152 \nL 62.40407 192.584654 \nL 61.406516 189.011288 \nL 60.818775 186.165646 \nL 60.423907 183.338369 \nL 60.227192 180.535365 \nL 60.233584 177.762217 \nL 60.44778 175.024153 \nL 60.874091 172.326053 \nL 61.516496 169.672422 \nL 62.378527 167.067394 \nL 63.463308 164.514728 \nL 64.773511 162.017797 \nL 66.3113 159.579601 \nL 68.078296 157.202757 \nL 70.075667 154.889519 \nL 72.303961 152.641771 \nL 74.76319 150.461048 \nL 77.452771 148.348545 \nL 80.371514 146.305128 \nL 83.517635 144.331356 \nL 87.766339 141.962458 \nL 92.360496 139.702705 \nL 97.292559 137.551429 \nL 102.553497 135.507438 \nL 108.132802 133.569084 \nL 114.018492 131.734354 \nL 121.466843 129.666196 \nL 129.311344 127.739556 \nL 137.523577 125.949833 \nL 146.072561 124.292399 \nL 156.427353 122.520001 \nL 167.138288 120.915162 \nL 178.145066 119.47245 \nL 191.005024 118.016964 \nL 204.069725 116.764386 \nL 217.237079 115.714286 \nL 230.402773 114.869591 \nL 243.461438 114.236665 \nL 256.30785 113.825215 \nL 268.838159 113.648072 \nL 279.463205 113.69743 \nL 289.703233 113.949838 \nL 299.495718 114.418037 \nL 307.488192 115.001166 \nL 315.073603 115.761052 \nL 322.219623 116.706001 \nL 328.896662 117.843986 \nL 334.083236 118.945108 \nL 338.911724 120.189276 \nL 343.369913 121.579884 \nL 347.447205 123.119768 \nL 350.428752 124.460655 \nL 353.157012 125.899304 \nL 355.628898 127.436208 \nL 357.842054 129.071523 \nL 359.794834 130.80505 \nL 361.486289 132.63622 \nL 362.916157 134.564076 \nL 364.084893 136.58726 \nL 364.993597 138.704004 \nL 365.644017 140.912123 \nL 366.038588 143.208998 \nL 366.180273 145.591586 \nL 366.072683 148.056417 \nL 365.719935 150.599584 \nL 365.126683 153.216761 \nL 364.29806 155.903203 \nL 363.239646 158.653754 \nL 361.957409 161.462865 \nL 360.049562 165.047523 \nL 357.815037 168.701987 \nL 355.267564 172.413024 \nL 352.421435 176.166634 \nL 349.291343 179.948118 \nL 345.892255 183.742161 \nL 342.239296 187.532913 \nL 337.542008 192.054522 \nL 332.527086 196.519177 \nL 327.220208 200.897679 \nL 321.646471 205.160651 \nL 315.83016 209.278831 \nL 310.814797 212.57918 \nL 305.660134 215.74253 \nL 300.378536 218.752948 \nL 294.981784 221.595035 \nL 289.481074 224.254058 \nL 283.886962 226.716035 \nL 278.209432 228.96785 \nL 272.457886 230.997366 \nL 266.641181 232.793469 \nL 260.767654 234.346178 \nL 254.845168 235.646727 \nL 248.881188 236.687623 \nL 242.882815 237.462703 \nL 236.856867 237.967183 \nL 230.809946 238.197683 \nL 224.748507 238.15227 \nL 218.67894 237.830485 \nL 212.607643 237.233292 \nL 206.541103 236.363128 \nL 200.485972 235.223853 \nL 194.449143 233.820744 \nL 188.437817 232.160454 \nL 182.459581 230.250926 \nL 176.522452 228.101369 \nL 170.634956 225.722181 \nL 164.80616 223.124878 \nL 159.045719 220.322014 \nL 153.363896 217.327058 \nL 147.771596 214.154326 \nL 142.280375 210.818895 \nL 135.841577 206.623749 \nL 129.58823 202.245061 \nL 123.543883 197.711778 \nL 117.733249 193.053388 \nL 112.182002 188.29965 \nL 106.916742 183.48031 \nL 101.964636 178.624854 \nL 97.353283 173.762237 \nL 93.110456 168.920631 \nL 89.876147 164.921639 \nL 86.932628 160.9712 \nL 84.295253 157.083717 \nL 81.978921 153.272843 \nL 79.997865 149.551419 \nL 78.36559 145.931413 \nL 77.319364 143.115881 \nL 76.510418 140.377552 \nL 75.944252 137.721229 \nL 75.625885 135.1513 \nL 75.559788 132.67173 \nL 75.749836 130.286055 \nL 76.199334 127.997382 \nL 76.910901 125.808399 \nL 77.886536 123.721362 \nL 79.127521 121.738113 \nL 80.634439 119.860087 \nL 82.40713 118.088318 \nL 84.444712 116.423456 \nL 86.745541 114.865779 \nL 89.307249 113.415208 \nL 92.126714 112.071341 \nL 95.200039 110.833451 \nL 98.52258 109.70053 \nL 103.018042 108.430029 \nL 107.882488 107.318512 \nL 113.102254 106.362455 \nL 118.661996 105.557912 \nL 125.758612 104.786415 \nL 133.288616 104.219044 \nL 141.217411 103.847631 \nL 149.507917 103.663891 \nL 159.584885 103.675833 \nL 170.035204 103.919633 \nL 180.790608 104.383727 \nL 191.780756 105.057727 \nL 204.536345 106.07368 \nL 217.396853 107.341551 \nL 230.254518 108.853687 \nL 241.419093 110.373528 \nL 252.430733 112.075693 \nL 263.222301 113.960634 \nL 273.72953 116.030238 \nL 282.463189 117.953468 \nL 290.907139 120.01707 \nL 299.02768 122.223818 \nL 306.793627 124.576609 \nL 314.176504 127.078293 \nL 320.017706 129.278667 \nL 325.561761 131.585545 \nL 330.796882 133.999921 \nL 335.71279 136.522411 \nL 340.300727 139.153194 \nL 344.553467 141.89193 \nL 347.710428 144.16004 \nL 350.646973 146.495885 \nL 353.361512 148.898408 \nL 355.853064 151.366248 \nL 358.121227 153.897725 \nL 360.166196 156.49083 \nL 361.988725 159.143208 \nL 363.59013 161.852152 \nL 364.97225 164.614594 \nL 366.137397 167.427102 \nL 367.088381 170.285878 \nL 367.828463 173.186757 \nL 368.3613 176.125206 \nL 368.690929 179.096336 \nL 368.821786 182.094907 \nL 368.758593 185.115334 \nL 368.506346 188.151707 \nL 368.070317 191.197796 \nL 367.275206 195.0091 \nL 366.212629 198.812021 \nL 364.893976 202.592586 \nL 363.330931 206.336298 \nL 361.535271 210.028194 \nL 359.518817 213.652945 \nL 357.293359 217.194938 \nL 354.870488 220.638393 \nL 352.261629 223.967444 \nL 349.477825 227.166256 \nL 346.529823 230.219134 \nL 343.427938 233.110631 \nL 340.181979 235.82565 \nL 336.801275 238.349587 \nL 333.294608 240.668378 \nL 329.67021 242.76867 \nL 325.935729 244.637851 \nL 322.098222 246.264232 \nL 318.164203 247.637036 \nL 314.951527 248.546148 \nL 311.683684 249.28228 \nL 308.363286 249.841463 \nL 304.992724 250.220218 \nL 301.574215 250.415595 \nL 298.109795 250.425177 \nL 294.601356 250.247069 \nL 291.050653 249.87996 \nL 287.459332 249.323079 \nL 283.828943 248.576223 \nL 279.238262 247.376117 \nL 274.591637 245.881732 \nL 269.891788 244.096362 \nL 265.141495 242.024657 \nL 260.343621 239.672523 \nL 255.501205 237.047125 \nL 250.617539 234.156823 \nL 245.696232 231.011119 \nL 239.746659 226.914095 \nL 233.756511 222.484691 \nL 227.734735 217.744885 \nL 221.691544 212.718314 \nL 214.629658 206.525077 \nL 207.575515 200.017565 \nL 200.553097 193.239414 \nL 193.58944 186.235501 \nL 185.741708 178.013233 \nL 178.059969 169.624475 \nL 170.598915 161.137612 \nL 163.417631 152.619934 \nL 156.578944 144.136874 \nL 150.927688 136.792118 \nL 145.63413 129.562261 \nL 140.743902 122.485359 \nL 136.907686 116.568298 \nL 133.429186 110.810834 \nL 130.335527 105.232448 \nL 128.070228 100.733569 \nL 126.104413 96.38105 \nL 124.451352 92.183624 \nL 123.123249 88.14922 \nL 122.302201 85.043894 \nL 121.701254 82.050745 \nL 121.324879 79.172721 \nL 121.176923 76.412431 \nL 121.260594 73.772182 \nL 121.578401 71.253958 \nL 122.132161 68.859422 \nL 122.922945 66.58994 \nL 123.951083 64.4466 \nL 125.21613 62.430217 \nL 126.716851 60.541323 \nL 128.451239 58.780209 \nL 130.416476 57.146947 \nL 132.608972 55.641377 \nL 135.02433 54.263128 \nL 137.657406 53.011684 \nL 140.502277 51.886348 \nL 143.552277 50.886269 \nL 147.641923 49.810853 \nL 152.024559 48.927546 \nL 156.682652 48.234055 \nL 161.597171 47.72798 \nL 166.747707 47.406797 \nL 172.11261 47.268018 \nL 178.801346 47.338793 \nL 185.724815 47.664573 \nL 192.840282 48.241494 \nL 200.10379 49.066096 \nL 207.470582 50.135304 \nL 214.895506 51.446506 \nL 222.333424 52.997586 \nL 229.739622 54.786879 \nL 237.07021 56.813162 \nL 244.2825 59.07564 \nL 250.172649 61.141075 \nL 255.929257 63.369997 \nL 261.530574 65.762301 \nL 266.956021 68.317889 \nL 272.186288 71.036609 \nL 277.203446 73.918224 \nL 281.991024 76.962299 \nL 286.534067 80.168178 \nL 289.983401 82.848752 \nL 293.261557 85.631611 \nL 296.363128 88.515922 \nL 299.283391 91.50065 \nL 302.018306 94.58454 \nL 304.564549 97.766106 \nL 306.919442 101.043594 \nL 309.081015 104.414966 \nL 311.047962 107.877904 \nL 312.819617 111.429763 \nL 314.395971 115.067572 \nL 315.7776 118.788028 \nL 316.965717 122.587465 \nL 317.96207 126.461857 \nL 318.768957 130.406813 \nL 319.38917 134.417555 \nL 319.826 138.488934 \nL 320.083174 142.615418 \nL 320.158304 147.841973 \nL 319.96805 153.132999 \nL 319.52205 158.475228 \nL 318.830607 163.854528 \nL 317.904593 169.255934 \nL 316.755294 174.663705 \nL 315.394302 180.061366 \nL 313.833452 185.431791 \nL 312.084658 190.757267 \nL 309.754754 197.062836 \nL 307.191697 203.245212 \nL 304.415422 209.271578 \nL 301.445228 215.108798 \nL 298.299644 220.723692 \nL 294.996242 226.083357 \nL 292.134804 230.331434 \nL 289.184242 234.361543 \nL 286.15293 238.156016 \nL 283.048678 241.697833 \nL 279.878694 244.970821 \nL 276.6496 247.959724 \nL 273.36743 250.650354 \nL 270.707171 252.579295 \nL 268.019008 254.302886 \nL 265.30528 255.815576 \nL 262.568139 257.112397 \nL 259.809549 258.189008 \nL 257.031301 259.041656 \nL 254.235046 259.667284 \nL 251.422295 260.063459 \nL 248.594437 260.228443 \nL 245.752777 260.161183 \nL 242.898533 259.861298 \nL 240.03288 259.329116 \nL 237.156949 258.565655 \nL 234.271862 257.572616 \nL 231.378751 256.352381 \nL 228.478774 254.90796 \nL 225.573146 253.24303 \nL 222.663153 251.361902 \nL 219.021635 248.713966 \nL 215.378408 245.746751 \nL 211.736753 242.472398 \nL 208.100343 238.904271 \nL 204.473289 235.056841 \nL 200.139682 230.093124 \nL 195.835141 224.778031 \nL 191.569778 219.141515 \nL 187.354938 213.214812 \nL 183.203225 207.030103 \nL 178.457945 199.532336 \nL 173.841747 191.780806 \nL 169.381089 183.828271 \nL 165.104484 175.726982 \nL 161.042301 167.528171 \nL 157.226397 159.281545 \nL 154.176637 152.211233 \nL 151.353279 145.169693 \nL 148.777657 138.184296 \nL 146.471025 131.280894 \nL 144.454257 124.483731 \nL 143.009652 118.916902 \nL 141.791603 113.451663 \nL 140.810754 108.099277 \nL 140.077058 102.870143 \nL 139.599645 97.773775 \nL 139.386741 92.818839 \nL 139.445543 88.013146 \nL 139.692319 84.280757 \nL 140.119425 80.651542 \nL 140.728878 77.128381 \nL 141.52212 73.713814 \nL 142.500019 70.410095 \nL 143.662833 67.2192 \nL 145.01019 64.142783 \nL 146.54109 61.18229 \nL 148.253875 58.338897 \nL 150.146234 55.613543 \nL 152.215191 53.006964 \nL 154.457096 50.519708 \nL 156.867647 48.15213 \nL 159.441874 45.904451 \nL 162.174182 43.77675 \nL 165.05831 41.768958 \nL 168.866473 39.427628 \nL 172.886421 37.272971 \nL 177.10207 35.304374 \nL 181.496063 33.521129 \nL 186.049839 31.922485 \nL 190.743756 30.507705 \nL 195.557218 29.27609 \nL 200.468783 28.22702 \nL 205.456314 27.360008 \nL 210.497115 26.674691 \nL 216.583835 26.09188 \nL 222.673579 25.770449 \nL 228.725797 25.710814 \nL 234.700167 25.913754 \nL 239.590664 26.284291 \nL 244.377039 26.838825 \nL 249.037447 27.578339 \nL 253.550809 28.50395 \nL 257.896955 29.616826 \nL 262.056737 30.91819 \nL 266.012176 32.409245 \nL 269.746536 34.091188 \nL 272.564475 35.574893 \nL 275.22386 37.181941 \nL 277.718098 38.912733 \nL 280.041239 40.767585 \nL 282.188001 42.746703 \nL 284.153758 44.850165 \nL 285.934555 47.077892 \nL 287.52715 49.429663 \nL 288.928965 51.90506 \nL 290.138125 54.503475 \nL 291.153435 57.224073 \nL 291.974369 60.065818 \nL 292.60107 63.027428 \nL 293.034321 66.10736 \nL 293.275517 69.303808 \nL 293.326694 72.614673 \nL 293.190423 76.037582 \nL 292.761328 80.469688 \nL 292.051557 85.066791 \nL 291.069547 89.822223 \nL 289.824772 94.728536 \nL 288.327647 99.777503 \nL 286.213871 106.011778 \nL 283.77365 112.421265 \nL 281.028846 118.987171 \nL 278.002142 125.689065 \nL 274.145671 133.650365 \nL 269.974333 141.72917 \nL 265.525176 149.885252 \nL 260.146815 159.246272 \nL 254.505309 168.585257 \nL 248.650081 177.831943 \nL 242.627038 186.913636 \nL 236.478068 195.756062 \nL 231.024068 203.237976 \nL 225.524838 210.429225 \nL 220.000096 217.28045 \nL 215.257365 222.845814 \nL 210.517901 228.096817 \nL 205.789837 233.005557 \nL 201.080179 237.54569 \nL 197.173875 241.029802 \nL 193.287535 244.227773 \nL 189.423794 247.127596 \nL 185.584988 249.718482 \nL 181.77322 251.990905 \nL 177.990433 253.936707 \nL 174.986299 255.253603 \nL 172.002808 256.354347 \nL 169.040886 257.236794 \nL 166.101512 257.899432 \nL 163.18569 258.34139 \nL 160.294525 258.562441 \nL 157.429194 258.563016 \nL 154.591012 258.34418 \nL 151.781413 257.90765 \nL 149.002005 257.255808 \nL 146.254537 256.391603 \nL 143.540963 255.318623 \nL 140.863428 254.041055 \nL 138.224304 252.563646 \nL 135.626163 250.891684 \nL 133.07183 249.030969 \nL 129.945191 246.449293 \nL 126.898313 243.595866 \nL 123.938295 240.484983 \nL 121.072872 237.131867 \nL 118.310369 233.552493 \nL 115.659662 229.763519 \nL 113.130254 225.782153 \nL 110.732092 221.626021 \nL 108.475649 217.313035 \nL 106.371808 212.8613 \nL 104.431822 208.288963 \nL 102.667204 203.614123 \nL 101.089684 198.854706 \nL 99.711153 194.028357 \nL 98.543469 189.152342 \nL 97.598441 184.243461 \nL 96.887709 179.317961 \nL 96.422616 174.391455 \nL 96.214091 169.47886 \nL 96.272573 164.594334 \nL 96.5182 160.715924 \nL 96.945654 156.870486 \nL 97.55927 153.064112 \nL 98.362979 149.302527 \nL 99.360304 145.591089 \nL 100.554331 141.934781 \nL 101.947634 138.338216 \nL 103.542293 134.805637 \nL 105.339828 131.340925 \nL 107.341201 127.947597 \nL 109.546754 124.628827 \nL 111.956213 121.387452 \nL 114.568685 118.225982 \nL 117.382628 115.146621 \nL 120.395789 112.151278 \nL 123.60527 109.241599 \nL 127.007469 106.41896 \nL 130.598109 103.68452 \nL 134.372213 101.03921 \nL 139.339149 97.859048 \nL 144.571331 94.820428 \nL 150.054594 91.924131 \nL 155.773188 89.170673 \nL 161.709872 86.560388 \nL 167.845933 84.093478 \nL 174.161295 81.770104 \nL 181.94627 79.171756 \nL 189.91955 76.78079 \nL 198.039909 74.597899 \nL 206.264295 72.624184 \nL 214.548172 70.861202 \nL 222.845873 69.311078 \nL 231.110974 67.976505 \nL 239.296688 66.860778 \nL 247.356259 65.967774 \nL 255.243381 65.301922 \nL 262.91258 64.868155 \nL 270.319648 64.671786 \nL 277.42201 64.71843 \nL 284.179112 65.013887 \nL 289.518696 65.454349 \nL 294.571349 66.07493 \nL 299.317875 66.878808 \nL 303.740643 67.868943 \nL 307.823697 69.048051 \nL 310.835944 70.128993 \nL 313.61522 71.33343 \nL 316.155879 72.662202 \nL 318.45306 74.115912 \nL 320.502717 75.694977 \nL 322.30159 77.399537 \nL 323.847267 79.229465 \nL 325.138126 81.184348 \nL 326.173353 83.26347 \nL 326.95296 85.465799 \nL 327.477703 87.78997 \nL 327.749135 90.234275 \nL 327.769544 92.796664 \nL 327.541936 95.474736 \nL 327.070017 98.265712 \nL 326.358119 101.16645 \nL 325.411216 104.17345 \nL 324.234853 107.28285 \nL 322.451015 111.307096 \nL 320.331111 115.475622 \nL 317.889124 119.778497 \nL 315.139963 124.204959 \nL 311.457608 129.66351 \nL 307.383735 135.261887 \nL 302.947475 140.977154 \nL 298.178482 146.785025 \nL 292.23395 153.643827 \nL 285.924334 160.551605 \nL 279.295915 167.464449 \nL 272.393504 174.337242 \nL 265.259964 181.124087 \nL 257.935829 187.778759 \nL 250.458973 194.255163 \nL 242.864404 200.507845 \nL 236.285435 205.65555 \nL 229.661949 210.579265 \nL 223.01073 215.253077 \nL 216.347008 219.652412 \nL 209.684535 223.754257 \nL 204.142401 226.929806 \nL 198.616261 229.872694 \nL 193.11208 232.572649 \nL 187.635348 235.020541 \nL 182.191156 237.208372 \nL 176.784249 239.129342 \nL 171.419123 240.777925 \nL 166.100088 242.149896 \nL 160.831347 243.242368 \nL 155.617081 244.053783 \nL 150.461508 244.583972 \nL 145.368969 244.834123 \nL 140.343991 244.806758 \nL 135.39133 244.505758 \nL 130.516091 243.936293 \nL 125.723728 243.104811 \nL 121.020106 242.018954 \nL 116.411543 240.687542 \nL 111.904865 239.120451 \nL 107.507399 237.328599 \nL 103.227024 235.323799 \nL 99.072156 233.118717 \nL 95.051745 230.726776 \nL 91.175284 228.162014 \nL 87.452763 225.439003 \nL 83.894679 222.572771 \nL 80.511952 219.578647 \nL 77.315923 216.472183 \nL 74.318254 213.269023 \nL 71.530894 209.984822 \nL 68.965973 206.635115 \nL 66.635749 203.235227 \nL 64.552535 199.800172 \nL 62.72852 196.344567 \nL 61.175799 192.882528 \nL 59.906162 189.42761 \nL 58.931041 185.992701 \nL 58.370374 183.267396 \nL 58.010572 180.568597 \nL 57.856711 177.901846 \nL 57.913558 175.272348 \nL 58.185539 172.684937 \nL 58.676701 170.144081 \nL 59.390703 167.653862 \nL 60.330769 165.217984 \nL 61.499666 162.83976 \nL 62.899668 160.522117 \nL 64.532527 158.267601 \nL 66.399464 156.078373 \nL 68.501189 153.956227 \nL 70.837804 151.902589 \nL 73.408876 149.918538 \nL 76.213306 148.004813 \nL 79.24946 146.161833 \nL 83.367021 143.957741 \nL 87.837296 141.863955 \nL 92.653057 139.879453 \nL 97.805571 138.002657 \nL 103.284638 136.231515 \nL 109.078653 134.563562 \nL 116.428797 132.694299 \nL 124.188598 130.964375 \nL 132.330365 129.36827 \nL 142.271406 127.667812 \nL 152.639118 126.133228 \nL 163.377596 124.756515 \nL 176.027803 123.367539 \nL 188.991172 122.167455 \nL 203.827693 121.036575 \nL 218.793467 120.13534 \nL 233.741876 119.466705 \nL 248.525221 119.039396 \nL 261.408721 118.873606 \nL 273.944721 118.923128 \nL 286.03517 119.20407 \nL 296.174954 119.654012 \nL 305.842196 120.308172 \nL 313.70989 121.041663 \nL 321.156658 121.943626 \nL 328.152373 123.022334 \nL 333.61772 124.061935 \nL 338.736425 125.233895 \nL 343.495682 126.541978 \nL 347.884206 127.989449 \nL 351.892337 129.578995 \nL 354.819483 130.954302 \nL 357.494635 132.422545 \nL 359.915115 133.984101 \nL 362.078936 135.639008 \nL 363.984793 137.386937 \nL 365.632069 139.227188 \nL 367.020809 141.158661 \nL 368.151701 143.179857 \nL 369.026081 145.288861 \nL 369.645939 147.483336 \nL 370.013824 149.760519 \nL 370.132893 152.117219 \nL 370.006827 154.549817 \nL 369.639845 157.054267 \nL 369.0366 159.626107 \nL 368.20226 162.26046 \nL 367.142394 164.952049 \nL 365.8629 167.695207 \nL 363.964258 171.187442 \nL 361.745156 174.738222 \nL 359.219076 178.334177 \nL 356.399965 181.961195 \nL 353.302115 185.604508 \nL 349.940094 189.248771 \nL 346.328536 192.878162 \nL 342.482121 196.476461 \nL 337.576915 200.730135 \nL 332.379296 204.886435 \nL 326.913469 208.916416 \nL 322.170664 212.157475 \nL 317.270935 215.274411 \nL 312.226885 218.251137 \nL 307.050516 221.072014 \nL 301.753282 223.72196 \nL 296.346092 226.186563 \nL 290.839241 228.452175 \nL 285.242466 230.506045 \nL 279.564941 232.336331 \nL 273.815305 233.93231 \nL 268.001721 235.284338 \nL 262.131893 236.384019 \nL 256.213134 237.224206 \nL 250.252429 237.799109 \nL 244.256483 238.104289 \nL 238.231796 238.136693 \nL 232.184748 237.894743 \nL 226.121661 237.37828 \nL 220.048887 236.588588 \nL 213.972875 235.528396 \nL 207.900256 234.201855 \nL 201.837911 232.614493 \nL 195.79305 230.773198 \nL 189.773275 228.686119 \nL 183.786644 226.362674 \nL 177.841729 223.813441 \nL 171.947661 221.050078 \nL 166.11418 218.085259 \nL 160.35167 214.932572 \nL 154.671149 211.606426 \nL 147.97927 207.407441 \nL 141.443852 203.007822 \nL 135.087724 198.435892 \nL 128.935027 193.720745 \nL 123.01108 188.891941 \nL 117.342234 183.979247 \nL 111.955744 179.012378 \nL 106.879458 174.020732 \nL 102.141673 169.033136 \nL 97.770813 164.0776 \nL 93.795108 159.181104 \nL 90.803956 155.164398 \nL 88.122174 151.220721 \nL 85.764863 147.363443 \nL 83.746489 143.605105 \nL 82.080668 139.957366 \nL 81.010431 137.126049 \nL 80.179956 134.377449 \nL 79.594765 131.716204 \nL 79.259842 129.146542 \nL 79.179601 126.672271 \nL 79.357884 124.296767 \nL 79.797859 122.022988 \nL 80.50205 119.853474 \nL 81.472289 117.790337 \nL 82.709684 115.835288 \nL 84.214647 113.989627 \nL 85.986811 112.254267 \nL 88.025034 110.629745 \nL 90.327452 109.116236 \nL 92.891412 107.713566 \nL 95.713507 106.421245 \nL 98.789553 105.238478 \nL 102.11461 104.164192 \nL 106.612393 102.971812 \nL 111.477685 101.943722 \nL 116.696124 101.076329 \nL 122.25171 100.365645 \nL 129.338653 99.713599 \nL 136.852748 99.273146 \nL 144.75827 99.036155 \nL 153.017031 98.994427 \nL 163.044858 99.181789 \nL 173.431566 99.611686 \nL 184.107518 100.272756 \nL 195.001205 101.154836 \nL 206.039992 102.249199 \nL 217.150851 103.548703 \nL 228.261074 105.047897 \nL 239.298986 106.743061 \nL 250.194616 108.632115 \nL 260.880331 110.71454 \nL 271.291465 112.991164 \nL 279.950268 115.098598 \nL 288.326155 117.351861 \nL 296.385343 119.752965 \nL 304.09662 122.304041 \nL 310.236317 124.545983 \nL 316.099694 126.894566 \nL 321.67326 129.350649 \nL 326.94506 131.914814 \nL 331.904587 134.587285 \nL 336.542945 137.367855 \nL 340.852727 140.255816 \nL 344.060018 142.642669 \nL 347.050975 145.096502 \nL 349.823929 147.616092 \nL 352.377851 150.19992 \nL 354.71226 152.846157 \nL 356.827327 155.552648 \nL 358.723729 158.3169 \nL 360.402744 161.136075 \nL 361.866135 164.006981 \nL 363.116152 166.926068 \nL 364.155575 169.889424 \nL 364.987571 172.892777 \nL 365.615764 175.931498 \nL 366.044145 179.000602 \nL 366.277057 182.094752 \nL 366.319156 185.208289 \nL 366.17539 188.335217 \nL 365.742276 192.253078 \nL 365.037513 196.169044 \nL 364.072133 200.069508 \nL 362.857491 203.940283 \nL 361.405111 207.766659 \nL 359.726656 211.533507 \nL 357.833799 215.225341 \nL 355.738134 218.826434 \nL 353.451049 222.320916 \nL 350.983736 225.692864 \nL 348.347024 228.926422 \nL 345.551409 232.005903 \nL 342.606918 234.915891 \nL 339.523132 237.641369 \nL 336.309049 240.167829 \nL 332.973177 242.481343 \nL 329.523415 244.568723 \nL 325.967115 246.417571 \nL 322.311034 248.016393 \nL 319.318499 249.108343 \nL 316.268968 250.028658 \nL 313.165139 250.772901 \nL 310.009465 251.337177 \nL 306.804226 251.718013 \nL 303.551492 251.912522 \nL 300.253167 251.918331 \nL 296.910994 251.733625 \nL 293.526586 251.357129 \nL 290.101418 250.788133 \nL 286.636855 250.026506 \nL 282.252755 248.804296 \nL 277.81155 247.283866 \nL 273.31559 245.468652 \nL 268.767214 243.36341 \nL 264.168824 240.974188 \nL 259.522987 238.308248 \nL 254.83248 235.374083 \nL 250.100375 232.181319 \nL 244.371822 228.023704 \nL 238.595138 223.529373 \nL 232.778182 218.720429 \nL 226.930026 213.620617 \nL 220.081733 207.336837 \nL 213.224302 200.733372 \nL 206.379722 193.853879 \nL 198.605316 185.711183 \nL 190.922768 177.334708 \nL 183.379573 168.792976 \nL 176.028212 160.154062 \nL 168.925705 151.484837 \nL 162.132993 142.850241 \nL 155.714111 134.312632 \nL 150.45622 126.968421 \nL 145.580112 119.781244 \nL 141.130619 112.786112 \nL 137.68974 106.967804 \nL 134.621492 101.333325 \nL 132.36781 96.790894 \nL 130.404762 92.397368 \nL 128.745476 88.161162 \nL 127.402052 84.089918 \nL 126.385433 80.19049 \nL 125.813973 77.198758 \nL 125.462157 74.323643 \nL 125.333667 71.567587 \nL 125.431538 68.932713 \nL 125.758126 66.420865 \nL 126.315082 64.033582 \nL 127.103333 61.772114 \nL 128.123057 59.637427 \nL 129.373669 57.630254 \nL 130.853826 55.751092 \nL 132.56138 54.000172 \nL 134.493425 52.37751 \nL 136.646264 50.88293 \nL 139.015436 49.516087 \nL 141.595718 48.276448 \nL 144.381129 47.163342 \nL 147.364963 46.175962 \nL 151.362443 45.117124 \nL 155.642394 44.251325 \nL 160.18729 43.576414 \nL 164.978178 43.090141 \nL 169.994755 42.790203 \nL 175.215513 42.67428 \nL 181.718088 42.774909 \nL 188.441399 43.133561 \nL 195.343187 43.746756 \nL 202.380068 44.611421 \nL 209.507938 45.72481 \nL 216.682373 47.084676 \nL 223.859049 48.689192 \nL 230.994139 50.536977 \nL 238.044709 52.62704 \nL 243.825513 54.553368 \nL 249.495397 56.647275 \nL 255.032021 58.90861 \nL 260.414086 61.337302 \nL 265.621464 63.933237 \nL 270.635306 66.696245 \nL 275.438119 69.626036 \nL 280.013862 72.722174 \nL 283.501166 75.318365 \nL 286.82712 78.020038 \nL 289.985682 80.826529 \nL 292.971471 83.737009 \nL 295.7798 86.750451 \nL 298.406656 89.865603 \nL 300.848712 93.080985 \nL 303.103326 96.394866 \nL 305.168515 99.805222 \nL 307.042975 103.309755 \nL 308.726038 106.905835 \nL 310.217686 110.590536 \nL 311.518486 114.360576 \nL 312.629609 118.212317 \nL 313.552793 122.141777 \nL 314.290302 126.144595 \nL 314.844886 130.216043 \nL 315.219815 134.35101 \nL 315.441454 139.60064 \nL 315.396212 144.929362 \nL 315.093017 150.324703 \nL 314.541543 155.773299 \nL 313.752126 161.260914 \nL 312.735627 166.772482 \nL 311.503274 172.292151 \nL 310.066627 177.803336 \nL 308.43741 183.288798 \nL 306.24476 189.812249 \nL 303.812125 196.24118 \nL 301.159544 202.543011 \nL 298.306578 208.684588 \nL 295.272088 214.632448 \nL 292.074115 220.353133 \nL 288.72973 225.813467 \nL 285.842481 230.141344 \nL 282.87335 234.247418 \nL 279.830411 238.113898 \nL 276.721151 241.723683 \nL 273.552482 245.060522 \nL 270.330733 248.109096 \nL 267.061667 250.855172 \nL 263.75049 253.285724 \nL 261.074401 254.995013 \nL 258.376563 256.489407 \nL 255.658968 257.764097 \nL 252.923447 258.814902 \nL 250.17168 259.638299 \nL 247.405206 260.231392 \nL 244.625447 260.592001 \nL 241.833725 260.718595 \nL 239.031287 260.61035 \nL 236.21932 260.267151 \nL 233.398976 259.689566 \nL 230.571382 258.878868 \nL 227.737679 257.837016 \nL 224.899024 256.56663 \nL 222.05663 255.071023 \nL 219.21177 253.354135 \nL 216.365809 251.420528 \nL 212.809061 248.706678 \nL 209.256054 245.673629 \nL 205.710306 242.334035 \nL 202.175751 238.701721 \nL 198.656776 234.791635 \nL 194.461498 229.75531 \nL 190.305206 224.371057 \nL 186.198547 218.669495 \nL 182.153388 212.682404 \nL 178.182851 206.442439 \nL 173.664079 198.887229 \nL 169.291321 191.086288 \nL 165.091547 183.092726 \nL 161.093632 174.958987 \nL 157.328076 166.73634 \nL 154.309472 159.655249 \nL 151.505465 152.575354 \nL 148.93688 145.525409 \nL 146.624572 138.53273 \nL 144.589122 131.623078 \nL 142.850658 124.820556 \nL 141.642778 119.249824 \nL 140.665216 113.781064 \nL 139.927976 108.425406 \nL 139.440312 103.193106 \nL 139.21063 98.093532 \nL 139.246371 93.135191 \nL 139.470371 89.275371 \nL 139.871054 85.514369 \nL 140.450632 81.855381 \nL 141.210768 78.301273 \nL 142.152577 74.854586 \nL 143.276574 71.517578 \nL 144.582679 68.292207 \nL 146.070177 65.180155 \nL 147.73773 62.182856 \nL 149.583332 59.301481 \nL 151.604342 56.536993 \nL 153.797438 53.890138 \nL 156.158665 51.361481 \nL 158.683396 48.951395 \nL 161.366362 46.660127 \nL 164.201663 44.487785 \nL 167.182782 42.434349 \nL 171.10332 40.034589 \nL 175.225332 37.820066 \nL 179.532295 35.790275 \nL 184.00644 33.944633 \nL 188.628846 32.282501 \nL 193.379559 30.803294 \nL 198.237711 29.506465 \nL 203.181648 28.391526 \nL 208.189076 27.458148 \nL 214.249657 26.577516 \nL 220.328752 25.958051 \nL 226.385946 25.600134 \nL 232.380847 25.504482 \nL 238.273473 25.672238 \nL 243.077559 26.014303 \nL 247.761301 26.541331 \nL 252.303326 27.254455 \nL 256.683101 28.154898 \nL 260.881077 29.243961 \nL 264.878806 30.522937 \nL 268.659064 31.993137 \nL 272.205931 33.655738 \nL 274.865596 35.125096 \nL 277.359851 36.718791 \nL 279.682598 38.437202 \nL 281.828388 40.280648 \nL 283.792453 42.249289 \nL 285.570694 44.343151 \nL 287.159705 46.562129 \nL 288.556769 48.905938 \nL 289.759869 51.374101 \nL 290.767667 53.965944 \nL 291.579517 56.680564 \nL 292.195436 59.516863 \nL 292.616105 62.47346 \nL 292.842832 65.548725 \nL 292.877538 68.740772 \nL 292.722751 72.04744 \nL 292.267513 76.338211 \nL 291.528215 80.798797 \nL 290.513219 85.423012 \nL 289.232 90.203918 \nL 287.694995 95.133796 \nL 285.52891 101.234295 \nL 283.031693 107.520886 \nL 280.225451 113.975808 \nL 277.133181 120.579674 \nL 273.19551 128.444411 \nL 268.938574 136.447454 \nL 263.731105 145.713617 \nL 258.211477 155.048592 \nL 252.433051 164.387168 \nL 246.446304 173.660918 \nL 240.298123 182.798839 \nL 234.031322 191.728114 \nL 227.684285 200.374946 \nL 222.091485 207.651175 \nL 216.482941 214.60573 \nL 210.875774 221.19081 \nL 206.081872 226.506099 \nL 201.307611 231.488297 \nL 196.5597 236.111162 \nL 191.843834 240.35018 \nL 187.941927 243.573177 \nL 184.068032 246.502109 \nL 180.224264 249.126293 \nL 176.412508 251.436318 \nL 172.63452 253.424087 \nL 169.637551 254.777727 \nL 166.664105 255.918047 \nL 163.715023 256.842914 \nL 160.791209 257.550778 \nL 157.893613 258.040744 \nL 155.02328 258.312565 \nL 152.181364 258.366612 \nL 149.369119 258.203904 \nL 146.587956 257.826096 \nL 143.839436 257.23544 \nL 141.125296 256.434837 \nL 138.44747 255.427789 \nL 135.808088 254.218357 \nL 133.209502 252.811158 \nL 130.654294 251.21138 \nL 128.145266 249.424708 \nL 125.078596 246.937948 \nL 122.095385 244.181838 \nL 119.202734 241.170406 \nL 116.408342 237.918556 \nL 113.720545 234.441981 \nL 111.148193 230.757054 \nL 108.700741 226.880665 \nL 106.388147 222.830139 \nL 104.220828 218.623095 \nL 102.209588 214.27732 \nL 100.365644 209.81069 \nL 98.700394 205.240996 \nL 97.225502 200.585892 \nL 95.952709 195.862739 \nL 94.893803 191.088546 \nL 94.060423 186.279849 \nL 93.46405 181.452643 \nL 93.115898 176.622293 \nL 93.026694 171.803488 \nL 93.206681 167.01016 \nL 93.550967 163.202699 \nL 94.078237 159.426312 \nL 94.79273 155.686988 \nL 95.698278 151.990357 \nL 96.798276 148.341684 \nL 98.095697 144.745867 \nL 99.592999 141.207436 \nL 101.292149 137.730554 \nL 103.194576 134.319029 \nL 105.30108 130.976309 \nL 107.611925 127.705505 \nL 110.126743 124.509393 \nL 112.844507 121.390432 \nL 115.763559 118.350771 \nL 118.881577 115.392284 \nL 122.19556 112.516567 \nL 125.701833 109.724968 \nL 129.396021 107.018614 \nL 134.270265 103.756925 \nL 139.418846 100.63124 \nL 144.82878 97.642585 \nL 150.485467 94.791669 \nL 156.372769 92.078984 \nL 162.473055 89.504843 \nL 168.767265 87.069483 \nL 175.234999 84.773105 \nL 183.194787 82.20125 \nL 191.333698 79.830497 \nL 199.610117 77.661776 \nL 207.98067 75.696429 \nL 216.400552 73.936334 \nL 224.823894 72.383934 \nL 233.204122 71.042277 \nL 241.49436 69.915037 \nL 249.647815 69.006473 \nL 257.618179 68.321422 \nL 265.360047 67.865179 \nL 272.829299 67.643473 \nL 279.983506 67.662265 \nL 286.782301 67.927692 \nL 292.149016 68.34172 \nL 297.222027 68.93475 \nL 301.982301 69.710113 \nL 306.412375 70.670899 \nL 310.496476 71.819951 \nL 313.505184 72.876389 \nL 316.277154 74.055941 \nL 318.806837 75.359483 \nL 321.089486 76.787662 \nL 323.121146 78.340867 \nL 324.898719 80.019258 \nL 326.419883 81.82269 \nL 327.683129 83.750722 \nL 328.687794 85.802608 \nL 329.433993 87.977289 \nL 329.922617 90.273339 \nL 330.155358 92.689008 \nL 330.134606 95.222186 \nL 329.863494 97.870388 \nL 329.345829 100.63077 \nL 328.586104 103.500111 \nL 327.589374 106.474827 \nL 326.361309 109.550955 \nL 324.51039 113.5321 \nL 322.320844 117.655665 \nL 319.806871 121.911537 \nL 316.983576 126.288766 \nL 313.209673 131.68502 \nL 309.041684 137.217306 \nL 304.509011 142.862405 \nL 299.641547 148.595765 \nL 293.579827 155.361843 \nL 287.150815 162.17038 \nL 280.40107 168.977257 \nL 273.375628 175.737257 \nL 266.117565 182.404493 \nL 258.66759 188.932872 \nL 251.063753 195.276568 \nL 243.341226 201.390514 \nL 236.651918 206.414915 \nL 229.917614 211.211708 \nL 223.155216 215.755477 \nL 216.38009 220.022213 \nL 209.606145 223.989526 \nL 203.97119 227.051981 \nL 198.352416 229.881346 \nL 192.755914 232.467796 \nL 187.187313 234.802687 \nL 181.651859 236.878475 \nL 176.154464 238.688898 \nL 170.69981 240.228943 \nL 165.2924 241.494892 \nL 159.936655 242.48438 \nL 154.636986 243.196398 \nL 149.39784 243.631245 \nL 144.223826 243.790623 \nL 139.119722 243.677543 \nL 134.090582 243.296353 \nL 129.141785 242.652676 \nL 124.279066 241.753359 \nL 119.508604 240.606432 \nL 114.837019 239.221071 \nL 110.271446 237.607469 \nL 105.819477 235.776819 \nL 101.489309 233.741193 \nL 97.289644 231.513439 \nL 93.229708 229.107134 \nL 89.319231 226.536425 \nL 85.568469 223.815965 \nL 81.988125 220.960794 \nL 78.589333 217.986224 \nL 75.383551 214.907735 \nL 72.382601 211.740879 \nL 69.5985 208.501157 \nL 67.043492 205.203908 \nL 64.729847 201.864239 \nL 62.66982 198.496904 \nL 60.875611 195.116215 \nL 59.359169 191.735969 \nL 58.132145 188.36935 \nL 57.366475 185.694299 \nL 56.798777 183.042057 \nL 56.434321 180.418373 \nL 56.278105 177.828655 \nL 56.334815 175.277956 \nL 56.608774 172.770967 \nL 57.103961 170.311999 \nL 57.823908 167.904986 \nL 58.771714 165.553471 \nL 59.950055 163.260614 \nL 61.361091 161.029182 \nL 63.006458 158.861556 \nL 64.887275 156.759742 \nL 67.004115 154.725366 \nL 69.356978 152.759696 \nL 71.945291 150.863646 \nL 74.767878 149.037794 \nL 77.822989 147.282396 \nL 81.965201 145.187133 \nL 86.46104 143.20116 \nL 91.30311 141.323152 \nL 96.482539 139.551232 \nL 101.989012 137.883044 \nL 109.011916 136.014249 \nL 116.466001 134.285516 \nL 124.325732 132.691064 \nL 132.562992 131.224894 \nL 142.609404 129.668438 \nL 153.075656 128.269125 \nL 165.479076 126.851445 \nL 178.26852 125.617029 \nL 193.001238 124.437059 \nL 207.964774 123.471252 \nL 223.015865 122.717864 \nL 238.008895 122.181044 \nL 252.797824 121.870845 \nL 267.238178 121.802938 \nL 279.66738 121.962584 \nL 291.614435 122.347191 \nL 301.60113 122.883282 \nL 311.091884 123.619839 \nL 318.791504 124.421209 \nL 326.056411 125.388626 \nL 332.858121 126.530355 \nL 338.15376 127.620538 \nL 343.096525 128.841207 \nL 347.674606 130.19596 \nL 351.877748 131.687852 \nL 355.697236 133.319319 \nL 358.471836 134.72617 \nL 360.993492 136.224003 \nL 363.260032 137.813013 \nL 365.269934 139.493045 \nL 367.022341 141.263566 \nL 368.517071 143.123658 \nL 369.75458 145.071999 \nL 370.73599 147.106858 \nL 371.463026 149.226088 \nL 371.937975 151.427113 \nL 372.163753 153.706932 \nL 372.14379 156.062116 \nL 371.882054 158.488811 \nL 371.383014 160.98274 \nL 370.651564 163.539217 \nL 369.693022 166.153148 \nL 368.513115 168.819049 \nL 366.736171 172.215548 \nL 364.635315 175.671835 \nL 362.22365 179.17486 \nL 359.514827 182.710829 \nL 356.522852 186.26527 \nL 353.261995 189.823115 \nL 349.746696 193.368797 \nL 345.991418 196.886349 \nL 341.188622 201.047333 \nL 336.085592 205.11585 \nL 331.621115 208.414959 \nL 326.978423 211.613422 \nL 322.170653 214.694881 \nL 317.210474 217.643269 \nL 312.110029 220.442909 \nL 306.880933 223.078638 \nL 301.53425 225.535917 \nL 296.080451 227.800918 \nL 290.529484 229.860668 \nL 284.890707 231.703086 \nL 279.172965 233.317114 \nL 273.384598 234.692795 \nL 267.533489 235.821346 \nL 261.627119 236.695221 \nL 255.672605 237.308168 \nL 249.676779 237.655264 \nL 243.646247 237.733009 \nL 237.587456 237.539288 \nL 231.50678 237.073418 \nL 225.410592 236.336171 \nL 219.305332 235.329724 \nL 213.197594 234.057682 \nL 207.094197 232.52504 \nL 201.002262 230.73812 \nL 194.92928 228.704584 \nL 188.883173 226.433326 \nL 182.872367 223.934434 \nL 176.905813 221.219105 \nL 170.993084 218.299574 \nL 165.144353 215.189014 \nL 159.370472 211.901462 \nL 152.556853 207.743648 \nL 145.888801 203.379098 \nL 139.388867 198.835715 \nL 133.080943 194.142234 \nL 126.990164 189.327966 \nL 121.142754 184.422545 \nL 115.565907 179.455619 \nL 110.287545 174.456618 \nL 105.336067 169.454494 \nL 100.740184 164.477491 \nL 96.528524 159.552895 \nL 93.332713 155.507986 \nL 90.439364 151.532043 \nL 87.864004 147.638739 \nL 85.621544 143.840953 \nL 83.726183 140.150709 \nL 82.468757 137.283445 \nL 81.44829 134.497397 \nL 80.670684 131.797419 \nL 80.141265 129.187963 \nL 79.864836 126.673057 \nL 79.845628 124.256309 \nL 80.087253 121.940907 \nL 80.592661 119.729615 \nL 81.364105 117.624775 \nL 82.403174 115.62832 \nL 83.710713 113.741771 \nL 85.286816 111.966244 \nL 87.130829 110.302487 \nL 89.241323 108.750871 \nL 91.616115 107.311401 \nL 94.252232 105.983758 \nL 97.145936 104.7673 \nL 100.292721 103.661097 \nL 104.574021 102.431518 \nL 109.23064 101.369413 \nL 114.248946 100.47137 \nL 119.613667 99.733529 \nL 125.307936 99.151675 \nL 132.550112 98.653012 \nL 140.205971 98.364379 \nL 148.238577 98.277481 \nL 158.033657 98.420029 \nL 168.222394 98.813086 \nL 178.736197 99.44459 \nL 189.504286 100.303503 \nL 200.454423 101.380115 \nL 211.513661 102.666193 \nL 222.60908 104.155163 \nL 233.668499 105.842131 \nL 244.621156 107.723879 \nL 255.398383 109.798781 \nL 265.934217 112.06666 \nL 274.725192 114.164924 \nL 283.255448 116.406956 \nL 291.490021 118.79436 \nL 299.396429 121.328954 \nL 306.94487 124.01259 \nL 312.942254 126.364033 \nL 318.658224 128.820971 \nL 324.080192 131.383973 \nL 329.19709 134.053288 \nL 333.99936 136.828778 \nL 338.478998 139.709837 \nL 342.629522 142.695325 \nL 345.709615 145.157757 \nL 348.57406 147.684733 \nL 351.221634 150.274776 \nL 353.651684 152.926103 \nL 355.864177 155.636615 \nL 357.85965 158.403886 \nL 359.63919 161.225146 \nL 361.204373 164.09728 \nL 362.557315 167.016822 \nL 363.7006 169.97995 \nL 364.637259 172.98248 \nL 365.370732 176.01988 \nL 365.904861 179.087263 \nL 366.243843 182.179398 \nL 366.392205 185.290722 \nL 366.35476 188.415345 \nL 366.054389 192.330354 \nL 365.482003 196.24369 \nL 364.648395 200.141958 \nL 363.564724 204.011143 \nL 362.242332 207.836744 \nL 360.692756 211.603791 \nL 358.927486 215.296975 \nL 356.957978 218.900725 \nL 354.795564 222.399312 \nL 352.451323 225.776937 \nL 349.936035 229.01785 \nL 347.260106 232.106452 \nL 344.433575 235.027404 \nL 341.465919 237.765749 \nL 338.366172 240.306999 \nL 335.142817 242.63725 \nL 331.803766 244.743298 \nL 328.356347 246.612718 \nL 324.80733 248.233972 \nL 321.899129 249.345165 \nL 318.932766 250.285822 \nL 315.910915 251.051461 \nL 312.836047 251.638098 \nL 309.71042 252.042233 \nL 306.536081 252.260883 \nL 303.314915 252.291604 \nL 300.048638 252.132474 \nL 296.738811 251.782138 \nL 293.38688 251.23978 \nL 289.994171 250.505181 \nL 285.697806 249.317119 \nL 281.341925 247.831049 \nL 276.928687 246.050178 \nL 272.460247 243.979031 \nL 267.938802 241.623408 \nL 263.366666 238.990359 \nL 258.746341 236.08811 \nL 254.08061 232.926032 \nL 248.426213 228.8033 \nL 242.717126 224.341332 \nL 236.960542 219.561848 \nL 231.164843 214.488182 \nL 224.366756 208.230226 \nL 217.546532 201.647019 \nL 209.751617 193.780469 \nL 201.990755 185.611825 \nL 194.305027 177.208716 \nL 186.740794 168.639156 \nL 178.440483 158.883557 \nL 171.311005 150.183216 \nL 164.478555 141.522862 \nL 158.006994 132.964162 \nL 152.692312 125.604793 \nL 147.749507 118.405069 \nL 143.223517 111.399613 \nL 139.709412 105.57395 \nL 136.561067 99.933286 \nL 133.804366 94.494764 \nL 131.823899 90.128382 \nL 130.145478 85.921436 \nL 128.781183 81.881355 \nL 127.741942 78.0148 \nL 127.151108 75.050485 \nL 126.778775 72.203674 \nL 126.628624 69.476744 \nL 126.70368 66.871732 \nL 127.006274 64.390428 \nL 127.538054 62.034282 \nL 128.299933 59.804527 \nL 129.29209 57.702092 \nL 130.513924 55.72766 \nL 131.964086 53.881672 \nL 133.640437 52.164332 \nL 135.540057 50.575651 \nL 137.659258 49.115422 \nL 139.993564 47.783285 \nL 142.537773 46.578698 \nL 145.28591 45.500988 \nL 148.231288 44.549341 \nL 152.179055 43.535668 \nL 156.407498 42.715575 \nL 160.899165 42.086926 \nL 165.635143 41.647491 \nL 170.595208 41.394994 \nL 175.757934 41.327141 \nL 182.18901 41.486298 \nL 188.838963 41.904425 \nL 195.665754 42.578097 \nL 202.626238 43.504221 \nL 209.676569 44.680124 \nL 216.772612 46.10353 \nL 223.87035 47.772614 \nL 230.926284 49.685959 \nL 237.897821 51.842521 \nL 243.613124 53.824941 \nL 249.218057 55.97549 \nL 254.690504 58.29398 \nL 260.009393 60.780262 \nL 265.154826 63.43414 \nL 270.108174 66.255376 \nL 274.852178 69.243579 \nL 279.371028 72.398192 \nL 282.814342 75.041142 \nL 286.097775 77.789503 \nL 289.215392 80.642545 \nL 292.161919 83.599367 \nL 294.932763 86.658869 \nL 297.524015 89.819739 \nL 299.932433 93.080422 \nL 302.155451 96.439105 \nL 304.191176 99.893696 \nL 306.038361 103.441817 \nL 307.696425 107.080764 \nL 309.165383 110.807526 \nL 310.445871 114.61875 \nL 311.539095 118.510717 \nL 312.446821 122.479362 \nL 313.171336 126.520248 \nL 313.715447 130.628569 \nL 314.082383 134.799137 \nL 314.297574 140.091365 \nL 314.249782 145.460429 \nL 313.947913 150.893718 \nL 313.401607 156.377729 \nL 312.621114 161.898094 \nL 311.617203 167.439621 \nL 310.40104 172.986341 \nL 308.984053 178.521564 \nL 307.377846 184.027943 \nL 305.21705 190.572247 \nL 302.820643 197.017277 \nL 300.208422 203.330338 \nL 297.399658 209.478185 \nL 294.412932 215.427311 \nL 291.266009 221.144215 \nL 287.975682 226.595737 \nL 285.135562 230.912447 \nL 282.215293 235.003927 \nL 279.222775 238.852429 \nL 276.165361 242.440951 \nL 273.049801 245.753322 \nL 269.882281 248.774327 \nL 266.668433 251.489851 \nL 264.067425 253.433616 \nL 261.442399 255.167578 \nL 258.79552 256.686272 \nL 256.128778 257.984846 \nL 253.443982 259.059058 \nL 250.742802 259.905302 \nL 248.026756 260.520641 \nL 245.29725 260.902805 \nL 242.555584 261.050219 \nL 239.802985 260.961988 \nL 237.040607 260.637945 \nL 234.26957 260.078593 \nL 231.490971 259.285147 \nL 228.70591 258.259509 \nL 225.915502 257.004258 \nL 223.120911 255.522652 \nL 220.323359 253.818561 \nL 217.524154 251.896528 \nL 214.024979 249.195351 \nL 210.528454 246.172929 \nL 207.037951 242.841828 \nL 203.557247 239.215819 \nL 200.090562 235.309798 \nL 195.955716 230.275377 \nL 191.857012 224.889711 \nL 187.804748 219.183359 \nL 183.810426 213.188089 \nL 179.886778 206.936572 \nL 175.417198 199.363628 \nL 171.087079 191.540406 \nL 166.92276 183.520088 \nL 162.95248 175.355217 \nL 159.206138 167.097178 \nL 155.714963 158.795707 \nL 152.949967 151.681809 \nL 150.416586 144.599712 \nL 148.135395 137.576602 \nL 146.126733 130.6381 \nL 144.410444 123.808169 \nL 143.217331 118.215592 \nL 142.251014 112.725804 \nL 141.521343 107.349858 \nL 141.03747 102.097924 \nL 140.807667 96.979306 \nL 140.839275 92.002434 \nL 141.138531 87.174885 \nL 141.574131 83.424934 \nL 142.186369 79.777973 \nL 142.976752 76.236767 \nL 143.946225 72.803771 \nL 145.09513 69.481154 \nL 146.423233 66.270776 \nL 147.929659 63.174248 \nL 149.612911 60.192935 \nL 151.470844 57.32796 \nL 153.500664 54.580219 \nL 155.698922 51.950411 \nL 158.061537 49.439067 \nL 160.583765 47.046534 \nL 163.260237 44.773013 \nL 166.084962 42.618603 \nL 169.814217 40.093019 \nL 173.750551 37.75324 \nL 177.878408 35.598874 \nL 182.18094 33.629392 \nL 186.64011 31.844217 \nL 191.236796 30.242747 \nL 195.950894 28.824434 \nL 200.761455 27.58878 \nL 205.646813 26.535389 \nL 210.584721 25.663985 \nL 216.547614 24.858388 \nL 222.51378 24.314826 \nL 228.443288 24.033796 \nL 234.296359 24.016155 \nL 239.087204 24.203526 \nL 243.775474 24.575542 \nL 248.339529 25.133228 \nL 252.758456 25.877702 \nL 257.012216 26.810203 \nL 261.081765 27.931988 \nL 264.94918 29.244333 \nL 268.597769 30.748486 \nL 272.012167 32.445598 \nL 274.565654 33.942923 \nL 276.953858 35.56485 \nL 279.170958 37.311759 \nL 281.211805 39.183898 \nL 283.071888 41.1814 \nL 284.747399 43.304266 \nL 286.235189 45.552343 \nL 287.532815 47.925279 \nL 288.638507 50.422569 \nL 289.551184 53.043503 \nL 290.270417 55.787144 \nL 290.796457 58.652331 \nL 291.130196 61.637656 \nL 291.273133 64.741455 \nL 291.227387 67.961822 \nL 290.995646 71.296554 \nL 290.44938 75.621996 \nL 289.625022 80.116752 \nL 288.531187 84.774611 \nL 287.177524 89.588597 \nL 285.574627 94.550977 \nL 283.338284 100.689688 \nL 280.780509 107.013637 \nL 277.923456 113.505059 \nL 274.242668 121.264163 \nL 270.223149 129.191435 \nL 265.902557 137.250716 \nL 260.644003 146.573113 \nL 255.09552 155.955453 \nL 249.309279 165.332278 \nL 243.33438 174.63499 \nL 237.216192 183.792484 \nL 230.995911 192.731922 \nL 224.71026 201.379559 \nL 218.391366 209.661695 \nL 212.856847 216.551576 \nL 207.333754 223.058579 \nL 202.618901 228.296667 \nL 197.929304 233.192601 \nL 193.27095 237.720611 \nL 189.416514 241.195566 \nL 185.589771 244.385567 \nL 181.792877 247.278924 \nL 178.027732 249.865144 \nL 174.296033 252.134989 \nL 170.599358 254.080552 \nL 167.668244 255.399104 \nL 164.761295 256.503266 \nL 161.879305 257.391019 \nL 159.023127 258.060909 \nL 156.19368 258.512166 \nL 153.391971 258.74464 \nL 150.61912 258.75881 \nL 147.876379 258.555816 \nL 145.165144 258.137405 \nL 142.486968 257.505976 \nL 139.843591 256.664504 \nL 137.236955 255.616577 \nL 134.669193 254.366374 \nL 132.142666 252.918614 \nL 129.659964 251.278569 \nL 126.622547 248.966933 \nL 123.66409 246.376179 \nL 120.791253 243.519688 \nL 118.01129 240.411816 \nL 115.332057 237.067724 \nL 112.761992 233.503352 \nL 110.310114 229.735269 \nL 107.985961 225.780519 \nL 105.79956 221.656525 \nL 103.761405 217.380981 \nL 101.882337 212.971715 \nL 100.173537 208.446574 \nL 98.646428 203.823315 \nL 97.31258 199.119495 \nL 96.183643 194.352365 \nL 95.271224 189.538772 \nL 94.586823 184.695072 \nL 94.141681 179.837052 \nL 93.946717 174.979862 \nL 94.012402 170.137935 \nL 94.348571 165.324944 \nL 94.818467 161.50406 \nL 95.471722 157.716146 \nL 96.312293 153.967047 \nL 97.34377 150.262248 \nL 98.569297 146.60687 \nL 99.99155 143.005669 \nL 101.6127 139.463036 \nL 103.434372 135.983001 \nL 105.457685 132.569241 \nL 107.683144 129.225087 \nL 110.110645 125.95353 \nL 112.739467 122.757244 \nL 115.568251 119.638588 \nL 118.594972 116.59963 \nL 121.816961 113.642165 \nL 125.230845 110.767728 \nL 128.832582 107.977612 \nL 133.591679 104.610175 \nL 138.626164 101.37787 \nL 143.923678 98.281998 \nL 149.47026 95.323514 \nL 155.250373 92.50312 \nL 161.246956 89.821337 \nL 167.441528 87.278555 \nL 173.814221 84.875111 \nL 181.66672 82.175408 \nL 189.706446 79.677618 \nL 197.892491 77.382755 \nL 206.182075 75.292232 \nL 214.530899 73.407916 \nL 222.893484 71.732225 \nL 231.223542 70.26818 \nL 239.474361 69.019359 \nL 247.599199 67.989957 \nL 255.551695 67.184715 \nL 263.286263 66.608874 \nL 270.758508 66.268066 \nL 277.9256 66.168226 \nL 284.746696 66.315463 \nL 290.138777 66.631332 \nL 295.242909 67.12655 \nL 300.039651 67.804463 \nL 304.511086 68.668252 \nL 308.640955 69.72082 \nL 311.689115 70.700539 \nL 314.502772 71.80386 \nL 317.076119 73.03172 \nL 319.404125 74.384837 \nL 321.482571 75.863742 \nL 323.30805 77.468657 \nL 324.877978 79.199581 \nL 326.190617 81.056191 \nL 327.244984 83.037886 \nL 328.040942 85.143735 \nL 328.579141 87.372485 \nL 328.860978 89.722542 \nL 328.888682 92.191962 \nL 328.665133 94.778443 \nL 328.193945 97.479319 \nL 327.479395 100.291566 \nL 326.526386 103.211779 \nL 325.340408 106.236207 \nL 323.539625 110.156968 \nL 321.397231 114.22525 \nL 318.927221 118.431337 \nL 316.144583 122.764692 \nL 312.414961 128.116685 \nL 308.286276 133.614516 \nL 303.787938 139.235651 \nL 298.949955 144.956202 \nL 292.916761 151.722279 \nL 286.510365 158.547795 \nL 279.777856 165.389478 \nL 272.764951 172.202842 \nL 265.515452 178.942603 \nL 258.070865 185.56312 \nL 250.470052 192.018851 \nL 242.749022 198.264829 \nL 234.940769 204.257131 \nL 228.201348 209.159322 \nL 221.437006 213.818451 \nL 214.663267 218.210307 \nL 207.89417 222.312224 \nL 201.142369 226.103261 \nL 195.537338 229.011208 \nL 189.958252 231.680123 \nL 184.410649 234.101208 \nL 178.899657 236.266803 \nL 173.430083 238.170442 \nL 168.006471 239.80691 \nL 162.633204 241.172257 \nL 157.31455 242.26387 \nL 152.054761 243.080413 \nL 146.858137 243.62192 \nL 141.729084 243.889773 \nL 136.672224 243.886629 \nL 131.692391 243.616482 \nL 126.794759 243.084593 \nL 121.984851 242.297434 \nL 117.268602 241.262666 \nL 112.652412 239.989066 \nL 108.143138 238.486445 \nL 103.748131 236.765643 \nL 99.475302 234.838332 \nL 95.333068 232.717008 \nL 91.330379 230.414892 \nL 87.476682 227.94579 \nL 83.781922 225.324036 \nL 80.256504 222.564353 \nL 76.911267 219.681765 \nL 73.757405 216.69148 \nL 70.806419 213.608798 \nL 68.070076 210.448991 \nL 65.560299 207.227216 \nL 63.289106 203.958385 \nL 61.268525 200.657092 \nL 59.510515 197.337517 \nL 58.026796 194.013346 \nL 56.82887 190.697685 \nL 56.083757 188.059675 \nL 55.534078 185.44114 \nL 55.185081 182.847811 \nL 55.041716 180.285095 \nL 55.108625 177.75805 \nL 55.390119 175.271376 \nL 55.890165 172.829403 \nL 56.612318 170.436095 \nL 57.559713 168.095025 \nL 58.735035 165.809391 \nL 60.140492 163.582006 \nL 61.777821 161.415302 \nL 63.648211 159.311331 \nL 65.752325 157.271782 \nL 68.09029 155.29798 \nL 70.661648 153.390901 \nL 73.465369 151.55119 \nL 77.29429 149.346749 \nL 81.479298 147.248025 \nL 86.014515 145.254315 \nL 90.892624 143.364305 \nL 96.104855 141.576142 \nL 101.641032 139.887509 \nL 108.69571 137.988702 \nL 116.177682 136.224075 \nL 124.06172 134.587976 \nL 133.730797 132.833811 \nL 143.86112 131.237292 \nL 154.400432 129.789533 \nL 166.874293 128.306798 \nL 179.720582 126.997727 \nL 194.501518 125.723403 \nL 209.497269 124.653599 \nL 224.565272 123.788044 \nL 239.560602 123.132425 \nL 254.337885 122.698362 \nL 268.753242 122.503073 \nL 281.149458 122.547766 \nL 293.053706 122.81685 \nL 302.995119 123.252147 \nL 312.433455 123.888808 \nL 320.082568 124.605681 \nL 327.291919 125.489977 \nL 334.033077 126.550258 \nL 339.27451 127.574027 \nL 344.159707 128.72975 \nL 348.676916 130.02115 \nL 352.815904 131.45139 \nL 356.56806 133.022992 \nL 359.286499 134.383294 \nL 361.750038 135.835808 \nL 363.956483 137.380757 \nL 365.904393 139.01801 \nL 367.592955 140.747054 \nL 369.022022 142.566985 \nL 370.192096 144.476495 \nL 371.104356 146.473861 \nL 371.760572 148.556938 \nL 372.163101 150.723153 \nL 372.314927 152.969505 \nL 372.219537 155.292563 \nL 371.88099 157.688465 \nL 371.303779 160.152933 \nL 370.492913 162.68127 \nL 369.453764 165.268377 \nL 368.192153 167.908763 \nL 366.311655 171.275192 \nL 364.105794 174.703435 \nL 361.587842 178.180424 \nL 358.77159 181.692352 \nL 355.671248 185.224746 \nL 352.301246 188.762535 \nL 348.676185 192.290162 \nL 344.010031 196.487389 \nL 339.022823 200.618831 \nL 333.739361 204.65598 \nL 328.183895 208.570224 \nL 323.363514 211.717699 \nL 318.383636 214.743867 \nL 313.256939 217.632841 \nL 307.995486 220.369189 \nL 302.610837 222.938038 \nL 297.11398 225.325179 \nL 291.515346 227.517168 \nL 285.824787 229.501431 \nL 280.051615 231.266353 \nL 274.204657 232.801368 \nL 268.292224 234.097037 \nL 262.322201 235.145124 \nL 256.302102 235.93865 \nL 250.239109 236.471957 \nL 244.140147 236.74074 \nL 238.011949 236.742095 \nL 231.861132 236.474516 \nL 225.694266 235.937969 \nL 219.51796 235.133789 \nL 213.338931 234.064793 \nL 207.164083 232.735153 \nL 201.000579 231.150421 \nL 194.855914 229.317504 \nL 188.737985 227.244551 \nL 182.655141 224.940973 \nL 176.616253 222.417302 \nL 170.630757 219.685147 \nL 164.708678 216.757119 \nL 158.860696 213.646732 \nL 151.95689 209.693771 \nL 145.196923 205.524962 \nL 138.602971 201.167604 \nL 132.198554 196.649964 \nL 126.0084 192.000984 \nL 120.058374 187.250042 \nL 114.37531 182.426637 \nL 108.986842 177.560173 \nL 103.921155 172.679666 \nL 99.206717 167.813517 \nL 94.872045 162.989259 \nL 91.570289 159.020162 \nL 88.567899 155.113173 \nL 85.880479 151.282218 \nL 83.523055 147.540452 \nL 81.50994 143.900194 \nL 79.854637 140.372874 \nL 78.79644 137.639417 \nL 77.981149 134.989898 \nL 77.414171 132.428832 \nL 77.100366 129.960317 \nL 77.043999 127.588021 \nL 77.248773 125.315194 \nL 77.71772 123.144655 \nL 78.453194 121.0788 \nL 79.456887 119.119603 \nL 80.729749 117.26863 \nL 82.27202 115.527032 \nL 84.083161 113.895579 \nL 86.161893 112.374653 \nL 88.506169 110.964274 \nL 91.113199 109.664128 \nL 93.979417 108.473564 \nL 97.100476 107.391617 \nL 101.352415 106.190041 \nL 105.983114 105.153285 \nL 110.979331 104.277834 \nL 116.326192 103.559715 \nL 122.007244 102.994554 \nL 129.240262 102.511703 \nL 136.894972 102.233967 \nL 144.935158 102.152684 \nL 154.751064 102.294559 \nL 164.974576 102.678529 \nL 175.538148 103.291809 \nL 186.371965 104.122631 \nL 198.99281 105.325181 \nL 211.765643 106.785108 \nL 224.582674 108.492135 \nL 237.337433 110.438991 \nL 248.365015 112.33578 \nL 259.1981 114.411727 \nL 269.772273 116.667188 \nL 280.026484 119.103745 \nL 288.517689 121.338255 \nL 296.698233 123.709642 \nL 304.537138 126.220042 \nL 312.006081 128.871591 \nL 317.929118 131.19044 \nL 323.564287 133.609577 \nL 328.899852 136.129652 \nL 333.925534 138.750978 \nL 338.632551 141.473451 \nL 343.013666 144.296483 \nL 347.063106 147.21893 \nL 350.060912 149.627307 \nL 352.842178 152.096988 \nL 355.405967 154.626473 \nL 357.751935 157.213955 \nL 359.880334 159.857305 \nL 361.791919 162.554064 \nL 363.487982 165.301433 \nL 364.970352 168.096265 \nL 366.241305 170.935066 \nL 367.303584 173.813984 \nL 368.160345 176.728817 \nL 368.815178 179.675011 \nL 369.271993 182.647672 \nL 369.535091 185.641567 \nL 369.609043 188.651142 \nL 369.498709 191.67052 \nL 369.109408 195.449106 \nL 368.450459 199.220682 \nL 367.532666 202.971961 \nL 366.367074 206.689087 \nL 364.964944 210.357714 \nL 363.337608 213.963116 \nL 361.49642 217.490222 \nL 359.452651 220.923763 \nL 357.217371 224.248333 \nL 354.801418 227.448509 \nL 352.215334 230.50894 \nL 349.469249 233.414475 \nL 346.572893 236.150252 \nL 343.535528 238.701818 \nL 340.365853 241.055227 \nL 337.07209 243.197124 \nL 333.661865 245.114879 \nL 330.142255 246.796662 \nL 326.519778 248.231572 \nL 322.800344 249.409618 \nL 319.758633 250.161114 \nL 316.660853 250.738479 \nL 313.509323 251.138151 \nL 310.306142 251.357076 \nL 307.053254 251.392703 \nL 303.752431 251.243022 \nL 300.405285 250.906544 \nL 297.013313 250.382315 \nL 292.712392 249.462469 \nL 288.346043 248.249124 \nL 283.916604 246.744059 \nL 279.426292 244.950347 \nL 274.877321 242.872363 \nL 270.271948 240.515739 \nL 265.612568 237.887339 \nL 260.901766 234.995169 \nL 255.184976 231.189325 \nL 249.403892 227.034579 \nL 243.565028 222.550658 \nL 237.67595 217.759068 \nL 230.753693 211.810915 \nL 223.791403 205.514499 \nL 216.808136 198.910941 \nL 208.829957 191.042819 \nL 200.891057 182.895033 \nL 193.034646 174.534344 \nL 184.355414 164.957548 \nL 175.918913 155.29078 \nL 167.809203 145.626567 \nL 160.947689 137.110527 \nL 154.481913 128.726869 \nL 149.202487 121.544299 \nL 144.324149 114.542001 \nL 139.892469 107.753147 \nL 136.483124 102.127299 \nL 133.46152 96.698505 \nL 131.258162 92.336781 \nL 129.355661 88.13173 \nL 127.76689 84.091136 \nL 126.503593 80.222026 \nL 125.734401 77.254434 \nL 125.184985 74.40347 \nL 124.859501 71.67166 \nL 124.761447 69.061238 \nL 124.893653 66.57415 \nL 125.258263 64.212027 \nL 125.856677 61.976223 \nL 126.689576 59.86782 \nL 127.756863 57.887622 \nL 129.057674 56.036197 \nL 130.590357 54.313863 \nL 132.352472 52.720709 \nL 134.340805 51.25661 \nL 136.551337 49.921267 \nL 138.979295 48.714183 \nL 141.619128 47.634711 \nL 144.464548 46.682072 \nL 148.299683 45.668222 \nL 152.429821 44.849085 \nL 156.838126 44.222473 \nL 161.506257 43.786031 \nL 166.414488 43.537333 \nL 171.541793 43.473943 \nL 177.952508 43.639025 \nL 184.606672 44.063325 \nL 191.462517 44.742974 \nL 198.476999 45.67443 \nL 205.606209 46.854477 \nL 212.80578 48.280389 \nL 220.031291 49.949792 \nL 227.238683 51.860808 \nL 234.384643 54.011914 \nL 241.426999 56.401986 \nL 247.187091 58.575631 \nL 252.824376 60.914224 \nL 258.317295 63.417447 \nL 263.645425 66.084963 \nL 268.789578 68.916392 \nL 273.731897 71.911237 \nL 278.455973 75.068835 \nL 282.946874 78.388299 \nL 286.362661 81.159619 \nL 289.614509 84.032984 \nL 292.69698 87.007443 \nL 295.60529 90.081845 \nL 298.335345 93.254829 \nL 300.883738 96.524803 \nL 303.247709 99.889905 \nL 305.425186 103.348017 \nL 307.41476 106.896709 \nL 309.215634 110.533257 \nL 310.82766 114.254616 \nL 312.251296 118.05738 \nL 313.487565 121.937819 \nL 314.538079 125.891839 \nL 315.404947 129.914973 \nL 316.090811 134.002395 \nL 316.598757 138.148889 \nL 316.988904 143.406537 \nL 317.114375 148.735998 \nL 316.983793 154.124632 \nL 316.606543 159.558913 \nL 315.992654 165.024458 \nL 315.152666 170.506074 \nL 314.097567 175.98779 \nL 312.83858 181.452937 \nL 311.387166 186.884199 \nL 309.754857 192.263692 \nL 307.573503 198.624871 \nL 305.167909 204.852606 \nL 302.557306 210.913913 \nL 299.760324 216.775526 \nL 296.794784 222.404205 \nL 293.677589 227.767027 \nL 290.975575 232.00964 \nL 288.187889 236.027005 \nL 285.322575 239.801517 \nL 282.387093 243.316297 \nL 279.388316 246.555297 \nL 276.332553 249.503454 \nL 273.225523 252.146785 \nL 270.706502 254.033333 \nL 268.160413 255.710617 \nL 265.589461 257.173218 \nL 262.995674 258.416364 \nL 260.38088 259.435846 \nL 257.746755 260.228115 \nL 255.09482 260.790274 \nL 252.426466 261.120083 \nL 249.742971 261.216 \nL 247.045516 261.077176 \nL 244.335209 260.70346 \nL 241.613103 260.095357 \nL 238.880215 259.254116 \nL 236.137549 258.181622 \nL 233.386113 256.880471 \nL 230.626945 255.353922 \nL 227.861128 253.605818 \nL 224.39627 251.116064 \nL 220.925281 248.297326 \nL 217.450886 245.16108 \nL 213.976137 241.720052 \nL 210.504473 237.988172 \nL 206.348022 233.14717 \nL 202.2092 227.93666 \nL 198.096668 222.386037 \nL 194.020243 216.526067 \nL 189.32482 209.341004 \nL 184.713215 201.830162 \nL 180.207351 194.046246 \nL 175.831384 186.042152 \nL 171.611578 177.870421 \nL 167.576141 169.582666 \nL 163.754926 161.229119 \nL 160.179126 152.85819 \nL 156.880858 144.516085 \nL 154.299376 137.421845 \nL 151.966294 130.406824 \nL 149.901888 123.495315 \nL 148.125899 116.709947 \nL 146.879923 111.166957 \nL 145.857805 105.737265 \nL 145.069302 100.431165 \nL 144.523413 95.25811 \nL 144.228285 90.22669 \nL 144.191092 85.344665 \nL 144.417945 80.61897 \nL 144.792907 76.955125 \nL 145.342009 73.398068 \nL 146.066661 69.950283 \nL 146.967733 66.613966 \nL 148.045504 63.391021 \nL 149.299643 60.283087 \nL 150.729208 57.291563 \nL 152.332624 54.417609 \nL 154.107699 51.662181 \nL 156.051589 49.025988 \nL 158.160809 46.509587 \nL 160.43123 44.11336 \nL 162.858102 41.837528 \nL 165.436045 39.682198 \nL 168.159063 37.647342 \nL 171.756764 35.272998 \nL 175.556698 33.086335 \nL 179.54342 31.086778 \nL 183.700235 29.273716 \nL 188.009308 27.646467 \nL 192.451747 26.204376 \nL 197.007745 24.946787 \nL 201.656681 23.873142 \nL 206.377265 22.982999 \nL 211.147667 22.276029 \nL 216.906603 21.669228 \nL 222.666432 21.325968 \nL 228.388177 21.246646 \nL 234.033096 21.431972 \nL 238.65097 21.789366 \nL 243.167427 22.332078 \nL 247.561505 23.061045 \nL 251.813008 23.977278 \nL 255.902605 25.081874 \nL 259.811976 26.375966 \nL 263.523923 27.860645 \nL 267.022472 29.537044 \nL 269.657772 31.01687 \nL 272.140234 32.620465 \nL 274.463604 34.348201 \nL 276.622239 36.20038 \nL 278.611121 38.177177 \nL 280.425909 40.278664 \nL 282.062889 42.504779 \nL 283.519048 44.855275 \nL 284.792001 47.32976 \nL 285.880046 49.927661 \nL 286.782146 52.648206 \nL 287.497903 55.490394 \nL 288.027556 58.453004 \nL 288.371969 61.534566 \nL 288.532604 64.733387 \nL 288.511515 68.047485 \nL 288.233611 72.348786 \nL 287.682103 76.821641 \nL 286.864411 81.460336 \nL 285.789063 86.258404 \nL 284.465574 91.20862 \nL 282.564502 97.338392 \nL 280.340461 103.660406 \nL 277.814077 110.157747 \nL 275.006971 116.811882 \nL 271.406972 124.746276 \nL 267.49127 132.832005 \nL 262.675935 142.210034 \nL 257.548638 151.676763 \nL 252.160853 161.168105 \nL 246.561505 170.616395 \nL 240.796249 179.951 \nL 234.906941 189.099021 \nL 228.931276 197.986105 \nL 222.902557 206.537347 \nL 217.606717 213.685645 \nL 212.309044 220.47085 \nL 207.023723 226.845472 \nL 202.512369 231.948145 \nL 198.025181 236.688668 \nL 193.567475 241.041678 \nL 189.878489 244.356201 \nL 186.215291 247.372937 \nL 182.579799 250.080668 \nL 178.973721 252.469447 \nL 175.398615 254.530623 \nL 172.56182 255.938805 \nL 169.74653 257.129648 \nL 166.953505 258.10076 \nL 164.18353 258.850361 \nL 161.437456 259.377309 \nL 158.716222 259.681126 \nL 156.020839 259.761971 \nL 153.352456 259.620659 \nL 150.712355 259.25865 \nL 148.101957 258.678071 \nL 145.522876 257.881631 \nL 142.976895 256.872705 \nL 140.465987 255.655224 \nL 137.992352 254.233731 \nL 135.558408 252.61331 \nL 133.166786 250.799584 \nL 130.241206 248.269935 \nL 127.392448 245.460823 \nL 124.627269 242.386267 \nL 121.953026 239.061214 \nL 119.377667 235.501456 \nL 116.909703 231.72349 \nL 114.558235 227.744373 \nL 112.332834 223.581622 \nL 110.243583 219.25312 \nL 108.300955 214.776939 \nL 106.515814 210.171259 \nL 104.899306 205.454218 \nL 103.462761 200.643826 \nL 102.217706 195.757855 \nL 101.175653 190.813719 \nL 100.34807 185.828396 \nL 99.746289 180.818346 \nL 99.381353 175.799414 \nL 99.263908 170.786774 \nL 99.404129 165.794871 \nL 99.811574 160.837357 \nL 100.335905 156.904759 \nL 101.041103 153.008575 \nL 101.93093 149.154622 \nL 103.008747 145.348352 \nL 104.277435 141.594854 \nL 105.739454 137.898845 \nL 107.396722 134.264688 \nL 109.250614 130.69638 \nL 111.301951 127.197568 \nL 113.550952 123.771559 \nL 115.997238 120.42133 \nL 118.63978 117.149536 \nL 121.476916 113.958535 \nL 124.506307 110.850388 \nL 127.724952 107.826899 \nL 131.129174 104.889616 \nL 134.71463 102.039865 \nL 139.443554 98.60245 \nL 144.436381 95.305316 \nL 149.680163 92.149852 \nL 155.160339 89.137141 \nL 160.860817 86.268022 \nL 166.764 83.543164 \nL 172.850891 80.963126 \nL 179.101168 78.528407 \nL 186.786725 75.799334 \nL 194.637067 73.281375 \nL 202.61079 70.975832 \nL 210.664762 68.884413 \nL 218.75448 67.009272 \nL 226.834433 65.353038 \nL 234.858481 63.918899 \nL 242.780259 62.710593 \nL 250.553572 61.732369 \nL 258.132809 60.988967 \nL 265.473353 60.485496 \nL 272.531987 60.227446 \nL 279.267297 60.220476 \nL 284.604674 60.410638 \nL 289.668841 60.782467 \nL 294.439772 61.339215 \nL 298.898916 62.083919 \nL 303.029362 63.019449 \nL 306.086754 63.906997 \nL 308.917007 64.919475 \nL 311.513907 66.057864 \nL 313.872029 67.32299 \nL 315.986708 68.715435 \nL 317.854137 70.235573 \nL 319.471286 71.883536 \nL 320.835936 73.659182 \nL 321.946739 75.562104 \nL 322.803111 77.591576 \nL 323.405281 79.746605 \nL 323.754278 82.025864 \nL 323.851887 84.427688 \nL 323.700632 86.950102 \nL 323.303763 89.590758 \nL 322.665211 92.346979 \nL 321.789573 95.215743 \nL 320.682029 98.19367 \nL 318.980341 102.063873 \nL 316.937819 106.090745 \nL 314.568023 110.265403 \nL 311.885577 114.57815 \nL 308.275762 119.920892 \nL 304.266105 125.427751 \nL 299.885802 131.077659 \nL 294.34692 137.819982 \nL 288.392423 144.688561 \nL 282.070436 151.643502 \nL 275.42836 158.643164 \nL 268.512331 165.644502 \nL 260.329549 173.591517 \nL 252.972634 180.44725 \nL 245.472815 187.164543 \nL 237.866153 193.698756 \nL 230.185643 200.005972 \nL 222.461162 206.043471 \nL 215.825558 210.972614 \nL 209.19247 215.648742 \nL 202.575459 220.048555 \nL 195.986649 224.150316 \nL 189.436863 227.93403 \nL 184.015509 230.83108 \nL 178.633021 233.485357 \nL 173.294026 235.888588 \nL 168.002818 238.033655 \nL 162.763415 239.914624 \nL 157.579631 241.526782 \nL 152.455181 242.866669 \nL 147.393729 243.932122 \nL 142.398964 244.722265 \nL 137.474687 245.237559 \nL 132.624859 245.479721 \nL 127.853688 245.45179 \nL 123.165656 245.158042 \nL 118.5656 244.604013 \nL 114.058749 243.796406 \nL 109.650776 242.743086 \nL 105.347809 241.45296 \nL 101.156479 239.935957 \nL 97.083943 238.202934 \nL 93.137862 236.265599 \nL 89.326434 234.136402 \nL 85.658383 231.828467 \nL 82.142912 229.355505 \nL 78.789729 226.731657 \nL 75.608952 223.971451 \nL 72.611123 221.089668 \nL 69.807116 218.101234 \nL 67.208101 215.021121 \nL 64.825408 211.864258 \nL 62.67062 208.645401 \nL 60.755273 205.37908 \nL 59.090939 202.079453 \nL 57.689061 198.760268 \nL 56.560845 195.434742 \nL 55.717187 192.115521 \nL 55.254231 189.472757 \nL 54.98528 186.847514 \nL 54.915227 184.245292 \nL 55.04869 181.671257 \nL 55.390016 179.13024 \nL 55.943159 176.626716 \nL 56.711745 174.164808 \nL 57.699008 171.748266 \nL 58.907728 169.380477 \nL 60.340259 167.064457 \nL 61.998488 164.802855 \nL 63.883787 162.597951 \nL 65.997037 160.451669 \nL 68.338581 158.365582 \nL 70.908223 156.340922 \nL 73.705199 154.378593 \nL 77.519051 152.014207 \nL 81.682152 149.748624 \nL 86.189265 147.581685 \nL 91.033668 145.512626 \nL 96.207265 143.540147 \nL 101.700555 141.662483 \nL 108.69906 139.531388 \nL 116.120766 137.52942 \nL 123.941588 135.651851 \nL 132.134817 133.893712 \nL 142.125239 131.986838 \nL 152.532494 130.228093 \nL 164.867255 128.390636 \nL 177.589125 126.729033 \nL 192.249728 125.062384 \nL 207.147463 123.60636 \nL 222.140512 122.362115 \nL 237.083826 121.336577 \nL 251.831053 120.542469 \nL 266.236548 119.998044 \nL 278.63895 119.742351 \nL 290.561189 119.721173 \nL 300.526063 119.911378 \nL 309.993109 120.311801 \nL 317.66952 120.833666 \nL 324.90726 121.530263 \nL 331.67659 122.410563 \nL 336.940364 123.290557 \nL 341.846073 124.308428 \nL 346.381221 125.468176 \nL 350.534832 126.773243 \nL 354.297611 128.226447 \nL 357.021206 129.497107 \nL 359.486598 130.864663 \nL 361.691316 132.329501 \nL 363.6336 133.891641 \nL 365.31241 135.550734 \nL 366.727345 137.306038 \nL 367.878759 139.156405 \nL 368.767591 141.10027 \nL 369.395476 143.135646 \nL 369.764676 145.260113 \nL 369.878063 147.470821 \nL 369.739088 149.764486 \nL 369.351719 152.13739 \nL 368.720508 154.58539 \nL 367.85045 157.10392 \nL 366.746999 159.688004 \nL 365.41602 162.332267 \nL 363.441905 165.713411 \nL 361.134994 169.167502 \nL 358.508881 172.681647 \nL 355.577744 176.242176 \nL 352.356196 179.834723 \nL 348.859167 183.444304 \nL 344.320406 187.776406 \nL 339.432944 192.083046 \nL 334.222954 196.335941 \nL 328.716218 200.506406 \nL 322.937935 204.565628 \nL 316.912562 208.484938 \nL 310.663629 212.236079 \nL 305.301653 215.213669 \nL 299.812478 218.03989 \nL 294.207945 220.699883 \nL 288.49931 223.179483 \nL 282.697257 225.465309 \nL 276.811893 227.54486 \nL 270.852777 229.406629 \nL 264.828948 231.040166 \nL 258.748954 232.436145 \nL 252.62093 233.586481 \nL 246.452621 234.484356 \nL 240.251454 235.124251 \nL 234.024608 235.502049 \nL 227.779082 235.615005 \nL 221.521768 235.461809 \nL 215.259528 235.042583 \nL 208.999269 234.358869 \nL 202.748021 233.413642 \nL 196.513008 232.211251 \nL 190.301724 230.757444 \nL 184.122001 229.059233 \nL 177.982073 227.124979 \nL 171.890631 224.964189 \nL 165.856874 222.587538 \nL 159.890544 220.006747 \nL 154.00199 217.234524 \nL 148.202172 214.284467 \nL 142.502649 211.170945 \nL 135.812856 207.240212 \nL 129.307366 203.122944 \nL 123.009685 198.847214 \nL 116.944449 194.44176 \nL 111.137331 189.935713 \nL 105.614817 185.358329 \nL 100.404106 180.738713 \nL 95.532812 176.105555 \nL 91.028717 171.486886 \nL 86.919525 166.909826 \nL 83.816554 163.146181 \nL 81.022208 159.443839 \nL 78.551397 155.816408 \nL 76.418458 152.276705 \nL 74.636941 148.836684 \nL 73.473315 146.163893 \nL 72.548799 143.567197 \nL 71.868938 141.051406 \nL 71.43882 138.620909 \nL 71.263006 136.279674 \nL 71.345476 134.03124 \nL 71.689592 131.878711 \nL 72.298107 129.824761 \nL 73.173128 127.871631 \nL 74.316059 126.021145 \nL 75.727621 124.274696 \nL 77.407803 122.633276 \nL 79.355872 121.097474 \nL 81.570366 119.667511 \nL 84.049089 118.343224 \nL 86.789114 117.124109 \nL 89.786783 116.009342 \nL 93.889355 114.760855 \nL 98.377351 113.670778 \nL 103.238938 112.735665 \nL 108.460568 111.951548 \nL 114.02717 111.314008 \nL 121.138987 110.735683 \nL 128.692304 110.352762 \nL 136.653175 110.156145 \nL 146.407381 110.149901 \nL 156.605499 110.37015 \nL 167.183022 110.802921 \nL 179.65002 111.541076 \nL 192.421731 112.522399 \nL 205.393087 113.732105 \nL 218.458362 115.158421 \nL 231.512447 116.792837 \nL 244.452048 118.630113 \nL 257.176842 120.668204 \nL 268.059037 122.616901 \nL 278.641654 124.722205 \nL 288.866812 126.987543 \nL 297.305686 129.059908 \nL 305.410689 131.256104 \nL 313.152802 133.579312 \nL 320.505644 136.032656 \nL 326.318524 138.17859 \nL 331.83243 140.4183 \nL 337.036611 142.752906 \nL 341.921729 145.183154 \nL 346.479904 147.709338 \nL 350.704678 150.331235 \nL 354.591087 153.048038 \nL 357.454148 155.288862 \nL 360.097171 157.588449 \nL 362.519561 159.945435 \nL 364.721284 162.358142 \nL 366.70282 164.824563 \nL 368.465197 167.342349 \nL 370.009937 169.908815 \nL 371.339029 172.520919 \nL 372.454943 175.175266 \nL 373.360605 177.868112 \nL 374.059286 180.595357 \nL 374.554689 183.352549 \nL 374.850841 186.134901 \nL 374.952074 188.937289 \nL 374.863063 191.75427 \nL 374.588681 194.580092 \nL 373.992834 198.115568 \nL 373.125737 201.642989 \nL 371.99815 205.149351 \nL 370.621083 208.6211 \nL 369.005752 212.044235 \nL 367.163363 215.40437 \nL 365.105165 218.686821 \nL 362.842285 221.876712 \nL 360.385685 224.959075 \nL 357.746058 227.918939 \nL 354.933762 230.741432 \nL 351.958789 233.411898 \nL 348.83072 235.91598 \nL 345.558658 238.23973 \nL 342.151189 240.36976 \nL 338.616384 242.293245 \nL 334.961767 243.998107 \nL 331.194358 245.473071 \nL 327.320549 246.707741 \nL 323.346284 247.692704 \nL 319.276904 248.419572 \nL 315.117325 248.881102 \nL 311.727709 249.055137 \nL 308.285281 249.052843 \nL 303.910888 248.798929 \nL 299.460411 248.263444 \nL 294.937005 247.444802 \nL 290.343609 246.342695 \nL 285.683 244.958131 \nL 280.957849 243.293413 \nL 276.170814 241.35211 \nL 271.324611 239.139022 \nL 266.42208 236.660205 \nL 261.46624 233.922852 \nL 256.46041 230.935269 \nL 250.392613 227.033153 \nL 244.265264 222.802331 \nL 238.086542 218.262791 \nL 231.865825 213.436194 \nL 224.56963 207.47335 \nL 217.250497 201.190399 \nL 209.930931 194.628317 \nL 201.598167 186.841576 \nL 193.341681 178.810897 \nL 185.2102 170.602358 \nL 177.257681 162.282207 \nL 169.542953 153.91607 \nL 162.129105 145.56824 \nL 155.082723 137.300997 \nL 148.47289 129.173991 \nL 143.102784 122.222372 \nL 138.16816 115.456931 \nL 134.320436 109.831353 \nL 130.855444 104.386313 \nL 127.800556 99.139706 \nL 125.5868 94.930962 \nL 123.689804 90.880033 \nL 122.122494 86.994775 \nL 120.896613 83.282245 \nL 120.168765 80.440822 \nL 119.670777 77.716824 \nL 119.406674 75.112768 \nL 119.379851 72.63087 \nL 119.59296 70.273016 \nL 120.047958 68.04079 \nL 120.746033 65.935495 \nL 121.687642 63.958122 \nL 122.872414 62.109397 \nL 124.2992 60.389773 \nL 125.966056 58.799453 \nL 127.870221 57.33841 \nL 130.008139 56.006397 \nL 132.375453 54.802952 \nL 134.967014 53.727439 \nL 137.776921 52.779051 \nL 140.798497 51.956832 \nL 144.861806 51.104813 \nL 149.228275 50.445868 \nL 153.88032 49.97744 \nL 158.798846 49.696825 \nL 163.963377 49.601235 \nL 170.454872 49.726793 \nL 177.229646 50.109878 \nL 184.246141 50.745833 \nL 191.46126 51.63022 \nL 198.830773 52.758992 \nL 206.309713 54.128475 \nL 213.852802 55.735435 \nL 221.414862 57.577101 \nL 228.951212 59.651206 \nL 236.418061 61.955864 \nL 243.772885 64.48956 \nL 249.786767 66.775062 \nL 255.67177 69.218216 \nL 261.406317 71.818481 \nL 266.970004 74.575335 \nL 272.343717 77.488202 \nL 277.509711 80.556382 \nL 282.451704 83.778999 \nL 287.154937 87.154932 \nL 291.606214 90.682743 \nL 294.977989 93.61314 \nL 298.175893 96.638454 \nL 301.195439 99.757347 \nL 304.032821 102.968261 \nL 306.684894 106.269372 \nL 309.149199 109.65862 \nL 311.423925 113.133632 \nL 313.507917 116.69175 \nL 315.400671 120.329997 \nL 317.102279 124.045065 \nL 318.613427 127.833297 \nL 319.935384 131.690693 \nL 321.069969 135.612889 \nL 322.01949 139.595152 \nL 322.786784 143.63238 \nL 323.375097 147.719098 \nL 323.864441 152.888151 \nL 324.087921 158.113148 \nL 324.054386 163.380984 \nL 323.773395 168.677705 \nL 323.25509 173.988541 \nL 322.510126 179.297958 \nL 321.54948 184.589712 \nL 320.384448 189.846924 \nL 319.026429 195.052143 \nL 317.486869 200.187428 \nL 315.777189 205.23446 \nL 313.516858 211.148194 \nL 311.046847 216.875544 \nL 308.385524 222.383925 \nL 306.034343 226.783605 \nL 303.572232 230.990246 \nL 301.008381 234.985728 \nL 298.351449 238.752456 \nL 295.609532 242.273452 \nL 292.790146 245.532449 \nL 289.900227 248.514117 \nL 286.94612 251.204074 \nL 283.933583 253.589062 \nL 281.484993 255.269331 \nL 279.004772 256.741116 \nL 276.495115 257.999387 \nL 273.958013 259.039734 \nL 271.395276 259.858358 \nL 268.808552 260.45207 \nL 266.199292 260.818356 \nL 263.56884 260.955347 \nL 260.918399 260.861856 \nL 258.249065 260.537369 \nL 255.561843 259.982038 \nL 252.85767 259.19673 \nL 250.137431 258.182933 \nL 247.40199 256.942816 \nL 244.652201 255.479241 \nL 241.888929 253.795651 \nL 238.417253 251.388053 \nL 234.92781 248.652383 \nL 231.422682 245.599266 \nL 227.904214 242.240633 \nL 224.375066 238.589597 \nL 220.13029 233.842486 \nL 215.880582 228.721242 \nL 211.632991 223.254032 \nL 207.395661 217.470478 \nL 202.477586 210.36433 \nL 197.603158 202.919964 \nL 192.791695 195.188798 \nL 187.397948 186.068507 \nL 182.151053 176.718454 \nL 177.09098 167.214509 \nL 172.261083 157.630395 \nL 168.260027 149.23425 \nL 164.502926 140.876104 \nL 161.023019 132.598674 \nL 157.853887 124.441998 \nL 155.410242 117.574944 \nL 153.24019 110.845641 \nL 151.363752 104.274092 \nL 149.800009 97.878597 \nL 148.748672 92.695531 \nL 147.936434 87.654994 \nL 147.371988 82.764892 \nL 147.063094 78.032321 \nL 147.01644 73.46361 \nL 147.237587 69.064355 \nL 147.610258 65.670209 \nL 148.158708 62.389791 \nL 148.883983 59.224984 \nL 149.786535 56.177403 \nL 150.866233 53.248445 \nL 152.122316 50.439244 \nL 153.553389 47.750731 \nL 155.157435 45.183604 \nL 156.931795 42.738431 \nL 158.873164 40.415566 \nL 160.97761 38.215221 \nL 163.240554 36.13745 \nL 165.656804 34.182217 \nL 168.220553 32.349353 \nL 171.62286 30.229986 \nL 175.231852 28.300807 \nL 179.032463 26.561053 \nL 183.008389 25.009902 \nL 187.142171 23.646495 \nL 191.415323 22.469972 \nL 195.80843 21.479519 \nL 200.301282 20.674409 \nL 204.872997 20.054005 \nL 209.502162 19.617847 \nL 215.102279 19.337144 \nL 220.715601 19.320973 \nL 226.303871 19.569406 \nL 230.914171 19.978864 \nL 235.458944 20.57278 \nL 239.916904 21.351738 \nL 244.267339 22.316439 \nL 248.490246 23.467696 \nL 252.566455 24.806378 \nL 256.477749 26.333379 \nL 260.206982 28.049629 \nL 263.738188 29.956013 \nL 267.056664 32.053312 \nL 269.549256 33.869048 \nL 271.890943 35.807633 \nL 274.076132 37.869233 \nL 276.099858 40.053894 \nL 277.957774 42.361554 \nL 279.646182 44.791991 \nL 281.162024 47.344833 \nL 282.502875 50.01954 \nL 283.666964 52.815368 \nL 284.653152 55.731379 \nL 285.460932 58.766412 \nL 286.090406 61.919068 \nL 286.542271 65.1877 \nL 286.817813 68.570412 \nL 286.918869 72.065001 \nL 286.803481 76.586829 \nL 286.424957 81.274155 \nL 285.790195 86.120785 \nL 284.907114 91.119747 \nL 283.784621 96.263281 \nL 282.43245 101.542845 \nL 280.521414 108.044632 \nL 278.313929 114.711054 \nL 275.830169 121.522713 \nL 272.611153 129.62504 \nL 269.078377 137.860131 \nL 265.265875 146.188915 \nL 261.207345 154.569628 \nL 256.309882 164.154328 \nL 251.180979 173.679509 \nL 245.864785 183.07257 \nL 240.402057 192.258569 \nL 234.829728 201.161117 \nL 229.889979 208.657861 \nL 224.910968 215.827497 \nL 219.909695 222.619746 \nL 215.616357 228.104274 \nL 211.325437 233.246196 \nL 207.043792 238.017485 \nL 202.777289 242.391828 \nL 199.237062 245.716287 \nL 195.713322 248.735309 \nL 192.208259 251.437247 \nL 188.723816 253.811707 \nL 185.261768 255.849671 \nL 182.509369 257.232641 \nL 179.773182 258.392223 \nL 177.054032 259.325892 \nL 174.352758 260.031737 \nL 171.670244 260.508544 \nL 169.007438 260.755754 \nL 166.365375 260.773492 \nL 163.745185 260.562555 \nL 161.148119 260.124387 \nL 158.575572 259.461139 \nL 156.029083 258.575574 \nL 153.510371 257.47112 \nL 151.021346 256.151805 \nL 148.564101 254.622263 \nL 146.140956 252.887708 \nL 143.754433 250.953897 \nL 140.827007 248.266056 \nL 137.967044 245.290047 \nL 135.181033 242.040278 \nL 132.476046 238.532123 \nL 129.85976 234.781805 \nL 127.340413 230.806293 \nL 124.926804 226.623164 \nL 122.628257 222.250441 \nL 120.454592 217.706535 \nL 118.416049 213.010061 \nL 116.523283 208.179744 \nL 114.787249 203.234292 \nL 113.219139 198.19229 \nL 111.830341 193.072074 \nL 110.632323 187.89164 \nL 109.636507 182.668545 \nL 108.854236 177.419811 \nL 108.296599 172.161864 \nL 107.974356 166.910446 \nL 107.897843 161.680564 \nL 108.076812 156.48643 \nL 108.520365 151.341428 \nL 109.071325 147.269242 \nL 109.800796 143.242528 \nL 110.712232 139.266919 \nL 111.808629 135.347677 \nL 113.092524 131.48969 \nL 114.565941 127.697482 \nL 116.230368 123.975214 \nL 118.086752 120.32669 \nL 120.135436 116.755366 \nL 122.376159 113.264366 \nL 124.808039 109.85649 \nL 127.429549 106.534232 \nL 130.238507 103.299788 \nL 133.232054 100.155089 \nL 136.406657 97.101808 \nL 139.758113 94.141381 \nL 143.281531 91.27503 \nL 147.919078 87.825934 \nL 152.804235 84.527077 \nL 157.923066 81.379757 \nL 163.26006 78.384987 \nL 168.798238 75.543578 \nL 174.519176 72.856162 \nL 180.403122 70.323334 \nL 186.429081 67.945652 \nL 193.816435 65.298017 \nL 201.336176 62.87578 \nL 208.94634 60.680351 \nL 216.60351 58.71349 \nL 224.263183 56.977429 \nL 231.880153 55.474808 \nL 239.408906 54.208771 \nL 246.804033 53.182912 \nL 254.020633 52.40127 \nL 261.014741 51.868273 \nL 267.743717 51.588651 \nL 274.166663 51.567361 \nL 279.257293 51.750597 \nL 284.087266 52.119646 \nL 288.636775 52.677359 \nL 292.887457 53.426447 \nL 296.822533 54.369442 \nL 299.733141 55.265014 \nL 302.425128 56.287197 \nL 304.892309 57.436869 \nL 307.129298 58.714765 \nL 309.131449 60.121415 \nL 310.894952 61.657148 \nL 312.416779 63.32207 \nL 313.694718 65.116074 \nL 314.727395 67.03878 \nL 315.514183 69.089532 \nL 316.055275 71.267401 \nL 316.351644 73.571182 \nL 316.405027 75.99936 \nL 316.217894 78.550099 \nL 315.793413 81.221268 \nL 315.135424 84.010402 \nL 314.248444 86.914705 \nL 312.82554 90.702266 \nL 311.064054 94.658079 \nL 308.976478 98.774532 \nL 306.576412 103.04323 \nL 303.304419 108.353634 \nL 299.630222 113.852703 \nL 295.581937 119.521618 \nL 290.424975 126.322916 \nL 284.845688 133.293285 \nL 278.891723 140.395964 \nL 271.689072 148.625456 \nL 264.127891 156.916296 \nL 256.27449 165.205353 \nL 248.191496 173.427735 \nL 239.937127 181.517487 \nL 231.564636 189.408353 \nL 223.121975 197.034568 \nL 215.710652 203.439694 \nL 208.303343 209.550993 \nL 200.922094 215.328361 \nL 194.63066 219.985794 \nL 188.383013 224.34762 \nL 182.188381 228.393071 \nL 176.054838 232.103202 \nL 170.995364 234.926527 \nL 165.986931 237.496479 \nL 161.03288 239.805449 \nL 156.136329 241.847 \nL 151.300227 243.615871 \nL 146.52741 245.108051 \nL 141.820719 246.320759 \nL 137.183029 247.252551 \nL 132.617353 247.903224 \nL 128.126892 248.273903 \nL 123.715084 248.366986 \nL 119.385705 248.186141 \nL 115.142866 247.736283 \nL 110.991096 247.02354 \nL 106.935379 246.055173 \nL 102.981215 244.839569 \nL 99.134537 243.386151 \nL 95.401886 241.70528 \nL 91.790294 239.808212 \nL 88.307351 237.707026 \nL 84.961211 235.414483 \nL 81.760483 232.943956 \nL 78.714348 230.309348 \nL 75.832386 227.524953 \nL 73.124638 224.605382 \nL 70.601507 221.565461 \nL 68.273718 218.420084 \nL 66.152236 215.18417 \nL 64.24822 211.872517 \nL 62.572921 208.499731 \nL 61.1376 205.08013 \nL 59.953462 201.627633 \nL 59.031518 198.155711 \nL 58.382539 194.677281 \nL 58.066882 191.898146 \nL 57.937706 189.128739 \nL 57.999893 186.374763 \nL 58.258097 183.641612 \nL 58.716662 180.934355 \nL 59.379613 178.257729 \nL 60.250654 175.616127 \nL 61.33309 173.013593 \nL 62.629802 170.453815 \nL 64.143283 167.940129 \nL 65.875533 165.475513 \nL 67.828096 163.062592 \nL 70.001989 160.703647 \nL 72.397728 158.400614 \nL 75.015277 156.155104 \nL 77.854054 153.968409 \nL 81.711833 151.319224 \nL 85.909966 148.764758 \nL 90.443491 146.305661 \nL 95.306073 143.941993 \nL 100.489903 141.673291 \nL 105.985743 139.498637 \nL 111.782937 137.416734 \nL 119.120309 135.038611 \nL 126.850835 132.788549 \nL 134.94836 130.663094 \nL 143.384164 128.658722 \nL 153.611746 126.468773 \nL 164.20375 124.434101 \nL 175.102844 122.55072 \nL 187.856896 120.58007 \nL 200.837202 118.801796 \nL 213.944308 117.217202 \nL 227.07574 115.830827 \nL 241.747701 114.518072 \nL 254.583472 113.583313 \nL 267.116576 112.882304 \nL 279.244527 112.432495 \nL 289.445973 112.260368 \nL 299.197388 112.309753 \nL 308.43833 112.595362 \nL 315.90984 113.039397 \nL 322.931704 113.676999 \nL 329.47361 114.516903 \nL 334.538737 115.37724 \nL 339.237351 116.387975 \nL 343.55684 117.552877 \nL 347.486307 118.875143 \nL 350.342818 120.047988 \nL 352.939866 121.324159 \nL 355.274264 122.704302 \nL 357.343552 124.18872 \nL 359.146004 125.777362 \nL 360.680614 127.469796 \nL 361.947118 129.265197 \nL 362.945964 131.162334 \nL 363.678248 133.15956 \nL 364.145811 135.254801 \nL 364.351123 137.445557 \nL 364.297294 139.728894 \nL 363.98804 142.101443 \nL 363.427636 144.559403 \nL 362.62092 147.098548 \nL 361.57323 149.714232 \nL 360.290364 152.401396 \nL 358.365596 155.852522 \nL 356.09613 159.395286 \nL 353.495777 163.017306 \nL 350.579035 166.705369 \nL 347.36095 170.445506 \nL 343.85697 174.223061 \nL 339.296977 178.783993 \nL 334.375432 183.349472 \nL 329.119868 187.891321 \nL 323.557542 192.380779 \nL 317.715254 196.788744 \nL 311.619084 201.08606 \nL 305.294244 205.243768 \nL 298.764892 209.233374 \nL 292.054055 213.02717 \nL 286.338811 216.019792 \nL 280.524621 218.843105 \nL 274.622793 221.483066 \nL 268.644029 223.92645 \nL 262.598438 226.160983 \nL 256.495563 228.175369 \nL 250.344409 229.959419 \nL 244.153501 231.504123 \nL 237.930933 232.801696 \nL 231.684425 233.845638 \nL 225.42139 234.630813 \nL 219.149005 235.153449 \nL 212.874282 235.411171 \nL 206.604144 235.403032 \nL 200.345501 235.129538 \nL 194.105327 234.592609 \nL 187.890733 233.795585 \nL 181.709044 232.743185 \nL 175.567866 231.441468 \nL 169.475144 229.897835 \nL 163.439235 228.120905 \nL 157.468948 226.12049 \nL 151.573586 223.907503 \nL 145.763015 221.493919 \nL 140.047651 218.892622 \nL 134.438493 216.117366 \nL 128.947129 213.182638 \nL 123.585736 210.103583 \nL 117.341616 206.240314 \nL 111.326087 202.219689 \nL 105.563217 198.070213 \nL 100.077999 193.82071 \nL 94.896089 189.500068 \nL 90.043695 185.136938 \nL 85.547317 180.759504 \nL 81.433484 176.395207 \nL 78.316495 172.787452 \nL 75.498367 169.221902 \nL 72.993633 165.712577 \nL 70.816366 162.272751 \nL 68.979945 158.914887 \nL 67.764754 156.295428 \nL 66.78187 153.741367 \nL 66.036952 151.257819 \nL 65.535237 148.849485 \nL 65.281435 146.520653 \nL 65.279788 144.275181 \nL 65.533956 142.116499 \nL 66.047013 140.047601 \nL 66.821464 138.071045 \nL 67.859172 136.188963 \nL 69.161327 134.403056 \nL 70.728465 132.714603 \nL 72.560416 131.12448 \nL 74.656367 129.633166 \nL 77.014763 128.240747 \nL 79.633341 126.946957 \nL 82.509197 125.751179 \nL 85.638626 124.652466 \nL 89.900352 123.413642 \nL 94.541501 122.321464 \nL 99.550466 121.372284 \nL 104.914089 120.561925 \nL 111.797835 119.766229 \nL 119.143074 119.155168 \nL 126.919059 118.719632 \nL 136.490956 118.420819 \nL 146.547133 118.33314 \nL 158.555478 118.47269 \nL 171.022908 118.848243 \nL 185.474661 119.529725 \nL 200.23823 120.463813 \nL 215.167002 121.632962 \nL 230.114231 123.025146 \nL 244.935044 124.634086 \nL 257.888811 126.245585 \nL 270.535742 128.030786 \nL 282.784929 129.995568 \nL 293.109296 131.868478 \nL 303.010102 133.891734 \nL 311.121828 135.751078 \nL 318.857453 137.730872 \nL 326.190915 139.835729 \nL 333.09882 142.069986 \nL 338.515323 144.033517 \nL 343.611446 146.091484 \nL 348.378124 148.245366 \nL 352.807695 150.49616 \nL 356.893962 152.844316 \nL 360.63209 155.289665 \nL 363.369611 157.315381 \nL 365.881011 159.402008 \nL 368.165753 161.548463 \nL 370.223859 163.753335 \nL 372.055889 166.014872 \nL 373.662908 168.330971 \nL 375.046469 170.699173 \nL 376.208654 173.116652 \nL 377.151944 175.580221 \nL 377.879312 178.086324 \nL 378.394095 180.631043 \nL 378.700057 183.210103 \nL 378.801267 185.81887 \nL 378.702149 188.452371 \nL 378.407415 191.105301 \nL 377.922016 193.772034 \nL 377.055079 197.115816 \nL 375.908901 200.459709 \nL 374.494435 203.79089 \nL 372.822874 207.095994 \nL 370.905606 210.36115 \nL 368.754111 213.572109 \nL 366.379845 216.71431 \nL 363.794195 219.772971 \nL 361.008356 222.73319 \nL 358.033292 225.580054 \nL 354.879658 228.298739 \nL 351.557769 230.874589 \nL 348.07749 233.293265 \nL 344.448256 235.540811 \nL 340.678995 237.603776 \nL 336.778145 239.469308 \nL 332.753607 241.12525 \nL 328.612779 242.560231 \nL 324.362509 243.763755 \nL 320.009142 244.726286 \nL 315.558534 245.439321 \nL 311.016045 245.895432 \nL 306.386661 246.088365 \nL 301.674945 246.013037 \nL 296.885143 245.665614 \nL 292.021201 245.043572 \nL 287.08685 244.145609 \nL 282.085677 242.97177 \nL 277.021172 241.523364 \nL 271.89682 239.803014 \nL 266.716139 237.814615 \nL 261.482808 235.563305 \nL 256.200686 233.055406 \nL 250.873934 230.29842 \nL 245.507058 227.300962 \nL 239.020839 223.400255 \nL 232.493479 219.185776 \nL 225.935658 214.677971 \nL 219.359389 209.898947 \nL 211.681812 204.012188 \nL 204.021599 197.828112 \nL 196.405872 191.388289 \nL 188.864888 184.73578 \nL 180.381118 176.929012 \nL 172.093416 168.968606 \nL 164.061385 160.92128 \nL 156.348942 152.853029 \nL 149.915705 145.826913 \nL 143.825699 138.876061 \nL 138.126782 132.040692 \nL 132.867118 125.359063 \nL 128.744681 119.78168 \nL 125.009509 114.364973 \nL 121.690026 109.128709 \nL 119.260919 104.916197 \nL 117.154049 100.851373 \nL 115.383211 96.943116 \nL 113.961016 93.199498 \nL 113.081971 90.328023 \nL 112.438548 87.569872 \nL 112.035299 84.928002 \nL 111.876132 82.405035 \nL 111.964273 80.00326 \nL 112.302237 77.724617 \nL 112.891774 75.57073 \nL 113.7339 73.542887 \nL 114.828821 71.642082 \nL 116.175944 69.868978 \nL 117.773873 68.22399 \nL 119.62039 66.707244 \nL 121.712459 65.318607 \nL 124.046233 64.057705 \nL 126.617053 62.923956 \nL 129.419483 61.916571 \nL 132.447285 61.034575 \nL 136.538257 60.10667 \nL 140.955165 59.37037 \nL 145.681071 58.822912 \nL 150.697439 58.461285 \nL 155.984257 58.282326 \nL 162.655265 58.304165 \nL 169.645672 58.578792 \nL 176.91414 59.100702 \nL 184.417512 59.864561 \nL 192.111282 60.865393 \nL 199.949949 62.098602 \nL 207.887462 63.560061 \nL 215.877615 65.246175 \nL 223.874459 67.153861 \nL 231.832694 69.280561 \nL 239.708049 71.624193 \nL 247.457657 74.183093 \nL 255.04039 76.955958 \nL 261.203612 79.429354 \nL 267.202408 82.050036 \nL 273.016643 84.817464 \nL 278.627545 87.731026 \nL 284.017739 90.790009 \nL 289.171345 93.993493 \nL 294.07403 97.340313 \nL 298.713086 100.828968 \nL 302.227008 103.720758 \nL 305.560159 106.700947 \nL 308.70831 109.768144 \nL 311.667905 112.920734 \nL 314.436068 116.156832 \nL 317.010582 119.47429 \nL 319.389913 122.870669 \nL 321.573136 126.343229 \nL 323.559988 129.888906 \nL 325.35079 133.504304 \nL 326.946477 137.185677 \nL 328.348515 140.928931 \nL 329.558927 144.729612 \nL 330.580217 148.582898 \nL 331.415403 152.483603 \nL 332.067903 156.426173 \nL 332.541549 160.40469 \nL 332.888534 165.418792 \nL 332.971622 170.466203 \nL 332.80045 175.533075 \nL 332.385253 180.604775 \nL 331.736742 185.665943 \nL 330.865975 190.70055 \nL 329.784305 195.691963 \nL 328.503154 200.623046 \nL 327.034058 205.476211 \nL 325.388463 210.233542 \nL 323.577665 214.876899 \nL 321.612753 219.388008 \nL 319.5045 223.748576 \nL 317.26332 227.940432 \nL 314.899173 231.945621 \nL 312.421547 235.746532 \nL 309.839419 239.326048 \nL 307.161198 242.667634 \nL 304.394721 245.755492 \nL 301.547238 248.574646 \nL 298.625397 251.111096 \nL 295.635246 253.351886 \nL 293.197638 254.92368 \nL 290.722362 256.293242 \nL 288.211722 257.455657 \nL 285.667828 258.406569 \nL 283.092554 259.142249 \nL 280.487611 259.659544 \nL 277.854518 259.95594 \nL 275.194647 260.029559 \nL 272.509211 259.879196 \nL 269.799302 259.504266 \nL 267.065903 258.904851 \nL 264.309908 258.081702 \nL 261.532149 257.036201 \nL 258.733401 255.770394 \nL 255.914422 254.286937 \nL 252.363384 252.131606 \nL 248.783408 249.649079 \nL 245.176112 246.848478 \nL 241.543273 243.740207 \nL 237.886921 240.335948 \nL 233.471557 235.878236 \nL 229.030406 231.036898 \nL 224.569062 225.837953 \nL 220.09413 220.309049 \nL 214.866584 213.48042 \nL 209.645502 206.290159 \nL 203.708135 197.693234 \nL 197.830369 188.763383 \nL 192.045697 179.575909 \nL 186.391916 170.205467 \nL 180.910894 160.725155 \nL 175.64819 151.205714 \nL 170.65247 141.71481 \nL 165.974828 132.316441 \nL 162.184186 124.215927 \nL 158.713049 116.269385 \nL 156.018987 109.606782 \nL 153.607596 103.102613 \nL 151.500028 96.775232 \nL 149.716407 90.641387 \nL 148.491121 85.688625 \nL 147.513907 80.888657 \nL 146.793926 76.24859 \nL 146.339305 71.774786 \nL 146.157083 67.472866 \nL 146.211387 64.158405 \nL 146.446169 60.959291 \nL 146.863264 57.877447 \nL 147.463914 54.914527 \nL 148.24877 52.071957 \nL 149.217854 49.350917 \nL 150.370566 46.752343 \nL 151.705638 44.276981 \nL 153.221165 41.925387 \nL 154.914575 39.697917 \nL 156.782639 37.594773 \nL 158.821462 35.616019 \nL 161.026506 33.761583 \nL 163.392597 32.031261 \nL 165.913939 30.424752 \nL 168.584116 28.941703 \nL 172.120399 27.260805 \nL 175.863355 25.771122 \nL 179.796787 24.471619 \nL 183.903318 23.361187 \nL 188.164478 22.438773 \nL 192.560832 21.703332 \nL 197.072101 21.153917 \nL 201.677293 20.789685 \nL 206.35484 20.609903 \nL 212.032414 20.636878 \nL 217.743967 20.928005 \nL 223.45076 21.482999 \nL 228.174933 22.147106 \nL 232.846926 22.994688 \nL 237.445066 24.026126 \nL 241.94822 25.241916 \nL 246.335941 26.64266 \nL 250.588575 28.229021 \nL 254.687414 30.001718 \nL 258.614784 31.96145 \nL 262.354169 34.108891 \nL 265.890295 36.444605 \nL 268.563428 38.449051 \nL 271.091029 40.574404 \nL 273.467188 42.82072 \nL 275.686621 45.187926 \nL 277.744647 47.67582 \nL 279.637235 50.284037 \nL 281.360984 53.012056 \nL 282.913122 55.859177 \nL 284.291532 58.824506 \nL 285.49473 61.906918 \nL 286.521845 65.105048 \nL 287.372637 68.417295 \nL 288.047439 71.84179 \nL 288.547188 75.376406 \nL 288.873358 79.018692 \nL 289.040133 83.718775 \nL 288.943966 88.576784 \nL 288.591081 93.585904 \nL 287.988756 98.738511 \nL 287.145241 104.026151 \nL 286.069637 109.43954 \nL 284.771775 114.968528 \nL 282.935755 121.740367 \nL 280.813844 128.642205 \nL 278.425903 135.65172 \nL 275.792284 142.74493 \nL 272.436751 151.091908 \nL 268.807597 159.474722 \nL 264.937026 167.847639 \nL 260.85627 176.162693 \nL 256.595218 184.370061 \nL 252.182071 192.418465 \nL 247.643098 200.255662 \nL 243.002427 207.828956 \nL 238.281928 215.08576 \nL 234.187144 221.01461 \nL 230.059097 226.640884 \nL 225.907549 231.933701 \nL 221.741108 236.863482 \nL 218.263154 240.674081 \nL 214.783926 244.197965 \nL 211.306817 247.421007 \nL 207.834833 250.330216 \nL 204.370649 252.913868 \nL 200.916664 255.161565 \nL 198.162288 256.711768 \nL 195.416877 258.037308 \nL 192.68143 259.134908 \nL 189.95692 260.001955 \nL 187.244324 260.636546 \nL 184.544628 261.037405 \nL 181.858863 261.203965 \nL 179.18812 261.13636 \nL 176.533566 260.835412 \nL 173.896465 260.30261 \nL 171.278207 259.54015 \nL 168.680313 258.550893 \nL 166.104456 257.338335 \nL 163.552467 255.906623 \nL 161.026375 254.26052 \nL 158.528392 252.405357 \nL 155.449156 249.801506 \nL 152.422852 246.892978 \nL 149.455248 243.693688 \nL 146.552667 240.2186 \nL 143.722031 236.483664 \nL 140.970823 232.505663 \nL 138.307129 228.302122 \nL 135.739567 223.891155 \nL 132.798334 218.350344 \nL 130.025535 212.570289 \nL 127.438896 206.584075 \nL 125.05693 200.424857 \nL 122.898792 194.125585 \nL 121.285445 188.792634 \nL 119.852628 183.403355 \nL 118.611848 177.975675 \nL 117.574517 172.526983 \nL 116.751897 167.074036 \nL 116.154963 161.632903 \nL 115.794292 156.218896 \nL 115.679945 150.846521 \nL 115.821333 145.52944 \nL 116.227155 140.280432 \nL 116.747507 136.138255 \nL 117.445696 132.052931 \nL 118.324866 128.029745 \nL 119.387694 124.073612 \nL 120.636351 120.189064 \nL 122.072512 116.380282 \nL 123.697259 112.651078 \nL 125.511116 109.004914 \nL 127.513997 105.444916 \nL 129.705207 101.973885 \nL 132.083389 98.594303 \nL 134.646538 95.308375 \nL 137.391994 92.118002 \nL 140.316408 89.024858 \nL 143.415772 86.030349 \nL 146.685387 83.135685 \nL 150.119886 80.341863 \nL 154.635608 76.992647 \nL 159.38625 73.803559 \nL 164.357011 70.775575 \nL 169.531588 67.909431 \nL 174.892252 65.205686 \nL 180.419918 62.664782 \nL 186.094238 60.28709 \nL 191.89373 58.07301 \nL 197.795866 56.022948 \nL 204.980864 53.78014 \nL 212.237946 51.775447 \nL 219.523934 50.010366 \nL 226.794787 48.486801 \nL 234.005992 47.207081 \nL 241.112963 46.173987 \nL 248.071459 45.39068 \nL 254.837985 44.860765 \nL 261.37021 44.588148 \nL 267.627358 44.576998 \nL 272.603435 44.770542 \nL 277.340214 45.151174 \nL 281.817691 45.72141 \nL 286.017231 46.483666 \nL 289.921694 47.440228 \nL 293.515553 48.593186 \nL 296.15765 49.658214 \nL 298.585808 50.850925 \nL 300.794499 52.171984 \nL 302.778979 53.621886 \nL 304.53528 55.200951 \nL 306.0602 56.909292 \nL 307.351344 58.746823 \nL 308.407117 60.713215 \nL 309.226696 62.807892 \nL 309.810035 65.030031 \nL 310.157866 67.378551 \nL 310.271653 69.852072 \nL 310.15359 72.448936 \nL 309.806571 75.167161 \nL 309.234173 78.004518 \nL 308.440594 80.958423 \nL 307.144962 84.810273 \nL 305.521914 88.83339 \nL 303.583334 93.020681 \nL 301.342212 97.364277 \nL 298.273272 102.770732 \nL 294.814603 108.373502 \nL 290.993331 114.154762 \nL 286.11449 121.099372 \nL 280.826238 128.227644 \nL 274.340585 136.553662 \nL 267.449309 145.017023 \nL 260.219464 153.558201 \nL 251.761162 163.182425 \nL 243.041701 172.734428 \nL 235.135781 181.088427 \nL 227.136079 189.24425 \nL 219.087394 197.135286 \nL 211.029119 204.695951 \nL 203.997161 210.990326 \nL 197.003617 216.941887 \nL 191.052539 221.740784 \nL 185.151157 226.236085 \nL 179.307326 230.406293 \nL 173.527808 234.23169 \nL 168.764909 237.143246 \nL 164.053725 239.793812 \nL 159.396941 242.175356 \nL 154.797033 244.280953 \nL 150.256351 246.10489 \nL 145.777181 247.642748 \nL 141.361788 248.891331 \nL 137.012554 249.848778 \nL 132.731997 250.51455 \nL 129.358816 250.837655 \nL 126.032857 250.975576 \nL 122.755775 250.92988 \nL 119.529367 250.70263 \nL 116.355622 250.296458 \nL 113.236689 249.714444 \nL 110.174924 248.960211 \nL 106.432017 247.781483 \nL 102.787885 246.349009 \nL 99.248541 244.672779 \nL 95.820548 242.763773 \nL 92.511064 240.633823 \nL 89.327761 238.295549 \nL 86.278893 235.762269 \nL 83.373252 233.047905 \nL 80.62009 230.166867 \nL 78.029181 227.133941 \nL 75.610679 223.964202 \nL 73.375124 220.672904 \nL 71.333368 217.275354 \nL 69.496501 213.78684 \nL 67.87574 210.222508 \nL 66.482403 206.597274 \nL 65.327786 202.925724 \nL 64.423096 199.222037 \nL 63.779319 195.499894 \nL 63.407157 191.772411 \nL 63.311905 188.794996 \nL 63.402104 185.828248 \nL 63.682557 182.877943 \nL 64.157792 179.949539 \nL 64.832017 177.048171 \nL 65.709107 174.178638 \nL 66.792572 171.34539 \nL 68.085511 168.552531 \nL 69.590611 165.803813 \nL 71.310078 163.102635 \nL 73.245651 160.452043 \nL 75.398564 157.854742 \nL 77.769503 155.313097 \nL 80.358662 152.82914 \nL 83.165619 150.404589 \nL 86.189402 148.040853 \nL 90.271599 145.173387 \nL 94.685689 142.404269 \nL 99.425829 139.734483 \nL 104.484668 137.164464 \nL 109.853356 134.69417 \nL 115.521557 132.323147 \nL 121.477505 130.050614 \nL 128.985694 127.452102 \nL 136.86357 124.991772 \nL 145.082839 122.667311 \nL 153.612524 120.476417 \nL 163.911434 118.086374 \nL 174.530227 115.872522 \nL 185.408057 113.83311 \nL 196.480733 111.967657 \nL 209.28779 110.050096 \nL 222.158341 108.365324 \nL 234.986347 106.920567 \nL 247.664447 105.726102 \nL 260.085289 104.795151 \nL 270.659099 104.209139 \nL 280.885395 103.849017 \nL 290.697179 103.72783 \nL 300.03047 103.859299 \nL 307.60379 104.183692 \nL 314.745815 104.712739 \nL 321.423768 105.454901 \nL 326.612652 106.241936 \nL 331.442889 107.186764 \nL 335.900495 108.293189 \nL 339.973168 109.564527 \nL 342.946997 110.702173 \nL 345.663081 111.948196 \nL 348.11761 113.303376 \nL 350.307499 114.768178 \nL 352.230415 116.34274 \nL 353.884803 118.026828 \nL 355.269862 119.819833 \nL 356.385524 121.720763 \nL 357.232475 123.728217 \nL 357.812098 125.840388 \nL 358.126498 128.055049 \nL 358.178429 130.369541 \nL 357.971333 132.780787 \nL 357.509235 135.285276 \nL 356.796754 137.879073 \nL 355.839081 140.557821 \nL 354.641875 143.316748 \nL 352.817939 146.870239 \nL 350.642331 150.529926 \nL 348.128907 154.283928 \nL 345.29228 158.119495 \nL 342.147701 162.023079 \nL 338.710951 165.98039 \nL 334.22388 170.778996 \nL 329.367552 175.606492 \nL 324.170379 180.434969 \nL 318.660647 185.23576 \nL 312.866226 189.979686 \nL 306.814339 194.63731 \nL 300.531368 199.17921 \nL 294.042651 203.576234 \nL 287.372369 207.799762 \nL 280.543429 211.822012 \nL 274.747064 215.000815 \nL 268.867303 218.006517 \nL 262.915253 220.8251 \nL 256.901391 223.443413 \nL 250.835574 225.849227 \nL 244.727071 228.031355 \nL 238.584615 229.979725 \nL 232.416434 231.685401 \nL 226.230331 233.140732 \nL 220.033734 234.33935 \nL 213.833768 235.276252 \nL 207.637327 235.947781 \nL 201.451146 236.351722 \nL 195.281877 236.487278 \nL 189.136175 236.355096 \nL 183.02076 235.957203 \nL 176.942498 235.297073 \nL 170.908475 234.379556 \nL 164.926069 233.210844 \nL 159.002998 231.798428 \nL 153.147379 230.151032 \nL 147.367792 228.278548 \nL 141.673306 226.191978 \nL 136.073518 223.903332 \nL 130.578587 221.425547 \nL 125.199231 218.772378 \nL 119.946737 215.95832 \nL 114.832949 212.998504 \nL 109.870255 209.908551 \nL 104.132687 206.051432 \nL 98.654489 202.058288 \nL 93.459682 197.957669 \nL 88.572952 193.778215 \nL 84.019488 189.548306 \nL 79.824716 185.295847 \nL 76.621404 181.754522 \nL 73.699437 178.231604 \nL 71.073141 174.741727 \nL 68.756488 171.298861 \nL 66.762993 167.916257 \nL 65.10553 164.606355 \nL 64.029702 162.01859 \nL 63.18258 159.490288 \nL 62.569616 157.026566 \nL 62.195831 154.632134 \nL 62.065797 152.311288 \nL 62.183586 150.067902 \nL 62.55274 147.90542 \nL 63.176269 145.826859 \nL 64.056594 143.834802 \nL 65.195512 141.931405 \nL 66.594211 140.1184 \nL 68.253229 138.397104 \nL 70.172464 136.768427 \nL 72.351125 135.232886 \nL 74.78775 133.79062 \nL 77.480223 132.441403 \nL 80.42572 131.184664 \nL 84.45801 129.742404 \nL 88.871871 128.440833 \nL 93.657379 127.276894 \nL 98.80309 126.246953 \nL 104.296003 125.346873 \nL 111.325447 124.43177 \nL 118.806504 123.688647 \nL 126.70899 123.108599 \nL 136.417547 122.625806 \nL 146.599636 122.338069 \nL 158.740181 122.230074 \nL 171.328918 122.338939 \nL 185.906122 122.699026 \nL 200.785467 123.291013 \nL 215.822095 124.099559 \nL 230.870575 125.115101 \nL 245.786834 126.334028 \nL 260.430039 127.758584 \nL 273.107066 129.203545 \nL 285.370024 130.825419 \nL 295.692831 132.398147 \nL 305.579053 134.122932 \nL 314.97883 136.008721 \nL 322.613977 137.760183 \nL 329.832189 139.642269 \nL 336.610095 141.660263 \nL 341.907048 143.449176 \nL 346.873458 145.338116 \nL 351.500258 147.32899 \nL 355.779889 149.423183 \nL 359.706179 151.621494 \nL 363.274392 153.924062 \nL 365.868903 155.840818 \nL 368.231061 157.823295 \nL 370.360421 159.87051 \nL 372.257097 161.981136 \nL 373.921717 164.15349 \nL 375.355472 166.38552 \nL 376.560041 168.674801 \nL 377.537632 171.01853 \nL 378.290885 173.413526 \nL 378.822899 175.856224 \nL 379.137218 178.34268 \nL 379.237742 180.868583 \nL 379.128757 183.429252 \nL 378.814861 186.019656 \nL 378.300969 188.634411 \nL 377.592261 191.267819 \nL 376.440641 194.576603 \nL 375.004062 197.892716 \nL 373.29389 201.203116 \nL 371.321787 204.49418 \nL 369.099587 207.751808 \nL 366.639238 210.961465 \nL 363.952653 214.108307 \nL 361.051666 217.177262 \nL 357.94794 220.153138 \nL 354.652897 223.020707 \nL 351.177638 225.764844 \nL 347.532922 228.370586 \nL 343.729063 230.823287 \nL 339.775905 233.108701 \nL 335.682846 235.213066 \nL 331.458747 237.12325 \nL 327.111955 238.826827 \nL 322.650267 240.312153 \nL 318.081001 241.568493 \nL 313.410926 242.586063 \nL 308.646352 243.356121 \nL 303.793151 243.871087 \nL 298.856766 244.124479 \nL 293.842289 244.111089 \nL 288.754489 243.826977 \nL 283.597877 243.269458 \nL 278.376796 242.437188 \nL 273.095438 241.330139 \nL 267.757952 239.94964 \nL 262.368521 238.298312 \nL 256.931404 236.380069 \nL 251.451047 234.200119 \nL 245.932132 231.764891 \nL 240.379674 229.082019 \nL 234.799077 226.16027 \nL 229.196209 223.009491 \nL 222.452425 218.941604 \nL 215.698015 214.580132 \nL 208.946533 209.947393 \nL 202.213003 205.067236 \nL 195.514017 199.964868 \nL 187.766574 193.766441 \nL 180.122752 187.344784 \nL 172.617349 180.74444 \nL 165.288118 174.010672 \nL 158.175553 167.188989 \nL 151.322603 160.324688 \nL 144.774328 153.46242 \nL 138.577377 146.645764 \nL 132.779435 139.916835 \nL 128.163851 134.2496 \nL 123.906961 128.700568 \nL 120.038434 123.292537 \nL 116.587094 118.046875 \nL 114.049603 113.813866 \nL 111.836126 109.717998 \nL 109.960888 105.769053 \nL 108.436992 101.975939 \nL 107.478918 99.059092 \nL 106.758857 96.25087 \nL 106.281701 93.554621 \nL 106.051715 90.973343 \nL 106.072501 88.509657 \nL 106.346963 86.165839 \nL 106.877251 83.943793 \nL 107.664782 81.845099 \nL 108.710173 79.87099 \nL 110.013277 78.022363 \nL 111.573109 76.299821 \nL 113.387886 74.703647 \nL 115.455025 73.233863 \nL 117.77106 71.890196 \nL 120.331784 70.672165 \nL 123.132144 69.579011 \nL 126.166303 68.609812 \nL 129.427658 67.763434 \nL 133.812564 66.876205 \nL 138.524972 66.176036 \nL 143.547263 65.65983 \nL 148.860252 65.324274 \nL 154.443308 65.165932 \nL 161.468487 65.20488 \nL 168.810758 65.487868 \nL 176.42792 66.008936 \nL 184.276051 66.762398 \nL 192.309926 67.742924 \nL 200.483434 68.945651 \nL 208.749959 70.366268 \nL 217.062803 72.000991 \nL 225.375579 73.84666 \nL 233.642602 75.90068 \nL 241.819255 78.160992 \nL 249.862371 80.626015 \nL 257.730525 83.294603 \nL 264.125236 85.6733 \nL 270.349581 88.192344 \nL 276.383307 90.851363 \nL 282.207472 93.649936 \nL 287.804579 96.587559 \nL 293.158615 99.663533 \nL 298.255127 102.87694 \nL 303.081259 106.226545 \nL 307.625789 109.710723 \nL 311.052169 112.593591 \nL 314.288027 115.559987 \nL 317.329921 118.60837 \nL 320.175066 121.736962 \nL 322.821347 124.943707 \nL 325.267313 128.226258 \nL 327.512152 131.581959 \nL 329.555703 135.007831 \nL 331.398367 138.500568 \nL 333.041161 142.056513 \nL 334.485663 145.671656 \nL 335.733965 149.341628 \nL 336.788664 153.061699 \nL 337.652834 156.82677 \nL 338.329996 160.631379 \nL 338.824063 164.469705 \nL 339.139331 168.335569 \nL 339.289019 173.196651 \nL 339.176193 178.077061 \nL 338.811143 182.962543 \nL 338.204605 187.838117 \nL 337.367727 192.688138 \nL 336.311896 197.496369 \nL 335.048673 202.246049 \nL 333.589685 206.919989 \nL 331.946525 211.500683 \nL 330.130616 215.970368 \nL 328.153196 220.31117 \nL 326.02522 224.5052 \nL 323.757217 228.534658 \nL 321.359352 232.381992 \nL 318.841297 236.029963 \nL 316.212178 239.461825 \nL 313.480602 242.661391 \nL 310.654579 245.613196 \nL 307.741519 248.302604 \nL 304.748241 250.715896 \nL 302.300045 252.439178 \nL 299.807396 253.971652 \nL 297.272963 255.307854 \nL 294.699176 256.442834 \nL 292.088241 257.372209 \nL 289.442165 258.092134 \nL 286.762755 258.599405 \nL 284.051617 258.89139 \nL 281.310197 258.966098 \nL 278.539793 258.822155 \nL 275.741553 258.458827 \nL 272.916514 257.876034 \nL 270.065629 257.074325 \nL 267.189745 256.054878 \nL 264.289673 254.819526 \nL 261.366191 253.370695 \nL 257.680072 251.26416 \nL 253.960064 248.836088 \nL 250.207764 246.095077 \nL 246.424934 243.051056 \nL 242.613558 239.715155 \nL 238.005452 235.344141 \nL 233.364156 230.593735 \nL 228.695161 225.489043 \nL 224.004984 220.056853 \nL 218.516619 213.343031 \nL 213.024201 206.268515 \nL 206.763853 197.803529 \nL 200.549494 189.003788 \nL 194.414955 179.943265 \nL 188.3986 170.695552 \nL 181.824797 160.158054 \nL 176.206326 150.749934 \nL 170.852065 141.372666 \nL 165.815222 132.08974 \nL 161.711564 124.09146 \nL 157.9304 116.248164 \nL 154.50901 108.594265 \nL 151.890495 102.208524 \nL 149.58543 96.003323 \nL 147.615043 89.995235 \nL 146.243075 85.149912 \nL 145.127967 80.459707 \nL 144.279427 75.931666 \nL 143.706138 71.572085 \nL 143.41564 67.386539 \nL 143.391127 64.166668 \nL 143.554278 61.063471 \nL 143.907128 58.078828 \nL 144.451107 55.214358 \nL 145.187033 52.471461 \nL 146.115076 49.851262 \nL 147.234763 47.354672 \nL 148.544944 44.9824 \nL 150.043784 42.734942 \nL 151.728773 40.612626 \nL 153.596734 38.615584 \nL 155.643789 36.743826 \nL 157.865401 34.997209 \nL 160.256354 33.375487 \nL 162.810807 31.878268 \nL 165.522277 30.505137 \nL 169.121564 28.962408 \nL 172.939947 27.611602 \nL 176.960972 26.451515 \nL 181.166945 25.480882 \nL 185.53904 24.698469 \nL 190.057427 24.103075 \nL 194.701389 23.69359 \nL 199.449476 23.46898 \nL 204.279619 23.428367 \nL 210.152376 23.621504 \nL 216.071374 24.077641 \nL 221.99688 24.796211 \nL 227.889275 25.77702 \nL 232.746061 26.794803 \nL 237.530471 27.99505 \nL 242.220873 29.378171 \nL 246.796324 30.94466 \nL 251.236729 32.695093 \nL 255.522937 34.630065 \nL 259.636865 36.750176 \nL 263.56162 39.055958 \nL 267.281574 41.547837 \nL 270.100433 43.675537 \nL 272.7724 45.92257 \nL 275.291438 48.288882 \nL 277.652098 50.774278 \nL 279.84959 53.378457 \nL 281.879758 56.100915 \nL 283.739098 58.941005 \nL 285.424751 61.897867 \nL 286.934493 64.97044 \nL 288.266757 68.157395 \nL 289.420607 71.45719 \nL 290.395717 74.86802 \nL 291.192377 78.387785 \nL 291.811452 82.014091 \nL 292.254376 85.744257 \nL 292.523122 89.575265 \nL 292.617963 94.500733 \nL 292.450507 99.571291 \nL 292.027752 104.778839 \nL 291.357689 110.114434 \nL 290.449197 115.568243 \nL 289.31192 121.129577 \nL 287.956159 126.786868 \nL 286.056134 133.684728 \nL 283.876649 140.67975 \nL 281.437829 147.747161 \nL 278.76014 154.860578 \nL 275.864138 161.992114 \nL 272.236727 170.296029 \nL 268.371596 178.536171 \nL 264.2993 186.662106 \nL 260.048913 194.621949 \nL 255.647709 202.362888 \nL 251.120938 209.83167 \nL 247.158476 215.976625 \nL 243.133981 221.849657 \nL 239.059449 227.418523 \nL 234.945649 232.652006 \nL 230.802174 237.520221 \nL 227.33276 241.277633 \nL 223.852991 244.746459 \nL 220.366757 247.912417 \nL 216.877531 250.762425 \nL 213.388415 253.284643 \nL 210.599085 255.059324 \nL 207.812924 256.612813 \nL 205.03115 257.941027 \nL 202.254921 259.040531 \nL 199.485344 259.908544 \nL 196.723504 260.542966 \nL 193.97048 260.942382 \nL 191.227372 261.10609 \nL 188.495308 261.034057 \nL 185.775486 260.726955 \nL 183.069175 260.186165 \nL 180.377748 259.413742 \nL 177.70268 258.412449 \nL 175.045593 257.185687 \nL 172.408264 255.737503 \nL 169.792625 254.07259 \nL 167.200795 252.196209 \nL 163.998032 249.562328 \nL 160.841071 246.619829 \nL 157.735424 243.382547 \nL 154.687151 239.865421 \nL 151.702894 236.0844 \nL 148.789868 232.05631 \nL 145.955876 227.798713 \nL 143.209288 223.329789 \nL 140.041357 217.714474 \nL 137.028584 211.85473 \nL 134.188384 205.783946 \nL 131.539055 199.535639 \nL 129.099624 193.143146 \nL 126.889698 186.63936 \nL 124.929223 180.056466 \nL 123.50055 174.532863 \nL 122.27065 168.993505 \nL 121.250967 163.455222 \nL 120.452671 157.934137 \nL 119.886597 152.445608 \nL 119.563039 147.004178 \nL 119.491716 141.623534 \nL 119.681673 136.316475 \nL 120.027264 132.131832 \nL 120.549056 128.007582 \nL 121.250389 123.949008 \nL 122.134156 119.961022 \nL 123.202735 116.04816 \nL 124.458001 112.214584 \nL 125.901274 108.464106 \nL 127.533303 104.800168 \nL 129.354237 101.225886 \nL 131.363602 97.744042 \nL 133.560288 94.357109 \nL 135.942541 91.067259 \nL 138.507936 87.876372 \nL 141.253369 84.786079 \nL 144.175073 81.79776 \nL 147.268589 78.912581 \nL 150.528795 76.131489 \nL 153.949882 73.455277 \nL 158.442589 70.25843 \nL 163.162509 67.227311 \nL 168.094092 64.362576 \nL 173.220314 61.664658 \nL 178.522779 59.133867 \nL 183.981789 56.770406 \nL 189.576469 54.574481 \nL 195.284873 52.546284 \nL 202.252766 50.334294 \nL 209.3103 48.36498 \nL 216.41504 46.639378 \nL 223.52358 45.158897 \nL 230.591941 43.925351 \nL 237.575963 42.941 \nL 244.431714 42.208517 \nL 251.115902 41.730957 \nL 257.586283 41.511758 \nL 263.802044 41.55462 \nL 268.759176 41.793338 \nL 273.49097 42.219055 \nL 277.977228 42.834074 \nL 282.199074 43.640654 \nL 286.139067 44.640937 \nL 289.781318 45.836899 \nL 292.471128 46.935765 \nL 294.954756 48.161783 \nL 297.22644 49.515608 \nL 299.281179 50.997737 \nL 301.114707 52.608505 \nL 302.723561 54.348055 \nL 304.105041 56.216351 \nL 305.257239 58.213109 \nL 306.179011 60.337834 \nL 306.869986 62.58979 \nL 307.330552 64.967969 \nL 307.561841 67.471095 \nL 307.5657 70.097617 \nL 307.344678 72.845686 \nL 306.902 75.713176 \nL 306.241524 78.697651 \nL 305.116492 82.588537 \nL 303.668131 86.651851 \nL 301.907669 90.880777 \nL 299.847471 95.267749 \nL 297.500925 99.80442 \nL 294.327197 105.433156 \nL 290.787642 111.247187 \nL 286.909379 117.227884 \nL 281.993911 124.389176 \nL 276.70049 131.715757 \nL 270.245965 140.244389 \nL 263.42322 148.883109 \nL 256.296613 157.570758 \nL 247.992116 167.323328 \nL 239.461706 176.963171 \nL 231.74932 185.359813 \nL 223.963324 193.523823 \nL 216.144882 201.387778 \nL 209.30544 207.970525 \nL 202.489446 214.229835 \nL 195.71479 220.124427 \nL 189.95245 224.856971 \nL 184.239875 229.269771 \nL 178.584097 233.341458 \nL 172.991135 237.052501 \nL 168.382092 239.856901 \nL 163.822956 242.389791 \nL 159.31614 244.643395 \nL 154.86389 246.611159 \nL 150.468374 248.287753 \nL 146.131718 249.669173 \nL 141.856117 250.752719 \nL 138.481147 251.404136 \nL 135.148001 251.863965 \nL 131.858051 252.132722 \nL 128.612789 252.21145 \nL 125.413845 252.101762 \nL 122.262995 251.805809 \nL 119.162202 251.326284 \nL 116.113608 250.666392 \nL 113.119553 249.829844 \nL 110.182596 248.820838 \nL 106.59594 247.324222 \nL 103.10879 245.575559 \nL 99.727606 243.58593 \nL 96.459466 241.367324 \nL 93.312029 238.932601 \nL 90.293517 236.295292 \nL 87.4127 233.469602 \nL 84.678837 230.470241 \nL 82.101728 227.312333 \nL 79.691584 224.011311 \nL 77.459002 220.582814 \nL 75.414914 217.042556 \nL 73.570535 213.406257 \nL 71.937219 209.689498 \nL 70.526435 205.907653 \nL 69.349672 202.075778 \nL 68.418318 198.208532 \nL 67.743568 194.320081 \nL 67.336374 190.42404 \nL 67.210342 187.310483 \nL 67.267464 184.20672 \nL 67.512668 181.118776 \nL 67.950618 178.052364 \nL 68.585648 175.012873 \nL 69.421806 172.005346 \nL 70.462727 169.034483 \nL 71.711658 166.104634 \nL 73.171413 163.219792 \nL 74.844323 160.383594 \nL 76.732263 157.599325 \nL 78.836584 154.869917 \nL 81.158084 152.197964 \nL 83.69705 149.585723 \nL 86.45314 147.035128 \nL 89.425472 144.547803 \nL 92.612525 142.125076 \nL 96.895004 139.189085 \nL 101.50415 136.357138 \nL 106.432921 133.630147 \nL 111.672741 131.008515 \nL 117.213549 128.492214 \nL 123.043723 126.080846 \nL 129.150154 123.773733 \nL 136.821969 121.141545 \nL 144.842832 118.656406 \nL 153.182159 116.316447 \nL 161.806794 114.119888 \nL 170.681111 112.065204 \nL 181.299497 109.845974 \nL 192.142747 107.817649 \nL 203.144266 105.980769 \nL 214.234923 104.33738 \nL 225.343653 102.891149 \nL 237.968662 101.486704 \nL 248.871866 100.483215 \nL 259.564825 99.699368 \nL 269.975847 99.145494 \nL 280.034968 98.833149 \nL 289.674689 98.774829 \nL 297.554663 98.936935 \nL 305.040962 99.303659 \nL 312.097772 99.883303 \nL 317.626392 100.534795 \nL 322.816134 101.344125 \nL 327.650966 102.31537 \nL 332.11645 103.452192 \nL 336.199893 104.75778 \nL 339.184151 105.92554 \nL 341.912102 107.204046 \nL 344.379746 108.594052 \nL 346.583824 110.096005 \nL 348.521889 111.710023 \nL 350.192226 113.435882 \nL 351.593921 115.272974 \nL 352.726802 117.220325 \nL 353.591452 119.276566 \nL 354.189175 121.439918 \nL 354.521994 123.708189 \nL 354.592642 126.078772 \nL 354.40448 128.548635 \nL 353.961522 131.11432 \nL 353.268352 133.771952 \nL 352.330138 136.517233 \nL 351.152575 139.345457 \nL 349.35345 142.989547 \nL 347.202996 146.744369 \nL 344.715126 150.598158 \nL 341.904556 154.53828 \nL 338.786652 158.551286 \nL 335.377307 162.622981 \nL 330.924286 167.565496 \nL 326.103551 172.544238 \nL 320.943788 177.531347 \nL 315.473571 182.49815 \nL 309.721071 187.415405 \nL 303.713791 192.253539 \nL 297.478395 196.98293 \nL 291.040494 201.57414 \nL 284.424516 205.9982 \nL 277.653579 210.226892 \nL 270.749452 214.232992 \nL 264.909011 217.382602 \nL 259.0013 220.345349 \nL 253.036708 223.107844 \nL 247.024989 225.657596 \nL 240.97529 227.983153 \nL 234.896212 230.074137 \nL 228.795835 231.921356 \nL 222.681795 233.516813 \nL 216.561337 234.853856 \nL 210.44139 235.92712 \nL 204.328638 236.732646 \nL 198.229589 237.267892 \nL 192.150656 237.531716 \nL 186.09824 237.52441 \nL 180.078798 237.247736 \nL 174.098913 236.704821 \nL 168.165392 235.900207 \nL 162.285299 234.839793 \nL 156.466038 233.530787 \nL 150.715407 231.981638 \nL 145.041661 230.202006 \nL 139.45353 228.202645 \nL 133.960268 225.995357 \nL 128.571669 223.592891 \nL 123.298097 221.008845 \nL 118.150482 218.257557 \nL 113.140316 215.35402 \nL 108.279632 212.313771 \nL 103.580984 209.152773 \nL 98.174874 205.223107 \nL 93.044187 201.171479 \nL 88.212979 197.026505 \nL 83.705831 192.816672 \nL 80.2154 189.279204 \nL 76.981777 185.732107 \nL 74.019404 182.190864 \nL 71.342526 178.670441 \nL 68.965105 175.185203 \nL 66.900687 171.748826 \nL 65.162332 168.37423 \nL 64.014759 165.727191 \nL 63.089797 163.133235 \nL 62.393094 160.597766 \nL 61.929898 158.1258 \nL 61.705046 155.721941 \nL 61.722883 153.390382 \nL 61.987283 151.134893 \nL 62.501598 148.958818 \nL 63.268629 146.865072 \nL 64.29057 144.856144 \nL 65.569034 142.934098 \nL 67.105005 141.100581 \nL 68.898836 139.356829 \nL 70.950219 137.70368 \nL 73.25817 136.141588 \nL 75.82109 134.670632 \nL 78.636645 133.290546 \nL 81.701863 132.000715 \nL 85.878833 130.513935 \nL 90.431566 129.164316 \nL 95.349886 127.948801 \nL 100.622087 126.86379 \nL 107.397134 125.728285 \nL 114.637161 124.767085 \nL 122.313829 123.971885 \nL 131.78044 123.242395 \nL 141.74608 122.713124 \nL 152.153741 122.370366 \nL 164.511918 122.190323 \nL 177.274002 122.219098 \nL 191.99181 122.482107 \nL 206.952999 122.972852 \nL 222.011992 123.679587 \nL 237.023119 124.596444 \nL 251.842563 125.723503 \nL 264.741109 126.906344 \nL 277.28264 128.267219 \nL 289.376823 129.816306 \nL 299.525285 131.335778 \nL 309.212993 133.017888 \nL 317.112752 134.596405 \nL 324.609656 136.307491 \nL 331.677951 138.15698 \nL 338.29461 140.150286 \nL 343.448827 141.924708 \nL 348.265172 143.804676 \nL 352.734909 145.792042 \nL 356.850755 147.888105 \nL 360.606924 150.093531 \nL 363.349922 151.936622 \nL 365.858373 153.849348 \nL 368.131315 155.831025 \nL 370.168372 157.880628 \nL 371.969749 159.996777 \nL 373.53619 162.177727 \nL 374.869009 164.421355 \nL 375.970002 166.725157 \nL 376.841512 169.086243 \nL 377.486352 171.501336 \nL 377.907747 173.966769 \nL 378.1094 176.478494 \nL 378.095383 179.03208 \nL 377.870142 181.622723 \nL 377.438457 184.245265 \nL 376.805405 186.894195 \nL 375.976347 189.563675 \nL 374.672901 192.920006 \nL 373.083261 196.286136 \nL 371.219137 199.648733 \nL 369.092521 202.993897 \nL 366.715591 206.307224 \nL 364.100603 209.57389 \nL 361.25978 212.778773 \nL 358.205263 215.9065 \nL 354.949002 218.941599 \nL 351.502682 221.868578 \nL 347.877666 224.672031 \nL 344.084955 227.336757 \nL 340.135078 229.847862 \nL 336.038132 232.190856 \nL 331.803697 234.351811 \nL 327.440829 236.317352 \nL 322.95807 238.074879 \nL 318.363421 239.612605 \nL 313.66435 240.919636 \nL 308.867837 241.98609 \nL 303.980358 242.803146 \nL 299.007952 243.363108 \nL 293.956259 243.659486 \nL 288.830534 243.687046 \nL 283.635756 243.441819 \nL 278.376653 242.921185 \nL 273.057776 242.123842 \nL 267.68356 241.049834 \nL 262.258399 239.700569 \nL 256.786732 238.078793 \nL 251.273113 236.188597 \nL 245.722283 234.035321 \nL 240.13924 231.62558 \nL 234.529331 228.967212 \nL 228.898315 226.069201 \nL 223.252426 222.94162 \nL 216.467316 218.90119 \nL 209.683458 214.56718 \nL 202.915101 209.962342 \nL 196.177975 205.110983 \nL 189.489368 200.03877 \nL 181.772626 193.87783 \nL 174.180535 187.496785 \nL 166.748885 180.940813 \nL 159.516307 174.255766 \nL 152.524051 167.487652 \nL 145.815678 160.682199 \nL 139.436631 153.884382 \nL 133.433748 147.137994 \nL 128.62392 141.428356 \nL 124.155572 135.812999 \nL 120.058569 130.31616 \nL 116.362173 124.960711 \nL 113.608337 120.621321 \nL 111.168053 116.40653 \nL 109.056255 112.327057 \nL 107.286869 108.392773 \nL 105.87278 104.612695 \nL 105.00518 101.705141 \nL 104.377787 98.905217 \nL 103.995324 96.216306 \nL 103.861895 93.641395 \nL 103.980929 91.183115 \nL 104.35516 88.843734 \nL 104.986566 86.625146 \nL 105.876405 84.52891 \nL 107.02511 82.556226 \nL 108.43235 80.70798 \nL 110.096982 78.984725 \nL 112.017039 77.386723 \nL 114.189755 75.913928 \nL 116.611516 74.566054 \nL 119.277921 73.342551 \nL 122.183744 72.24264 \nL 125.323011 71.26532 \nL 129.565003 70.214275 \nL 134.146303 69.350301 \nL 139.050337 68.670439 \nL 144.258904 68.17144 \nL 149.75228 67.849885 \nL 156.690444 67.693287 \nL 163.969334 67.780969 \nL 171.547742 68.106792 \nL 179.382553 68.664842 \nL 187.429113 69.449513 \nL 195.641624 70.45564 \nL 203.973556 71.678568 \nL 212.378044 73.114195 \nL 220.808293 74.759067 \nL 229.217971 76.610315 \nL 237.561589 78.665703 \nL 245.794866 80.923505 \nL 253.87509 83.382497 \nL 261.761414 86.041861 \nL 268.157286 88.410644 \nL 274.370552 90.917941 \nL 280.381433 93.563517 \nL 286.171532 96.347075 \nL 291.723888 99.268213 \nL 297.023077 102.326338 \nL 302.055247 105.520581 \nL 306.808159 108.849733 \nL 310.402252 111.609124 \nL 313.806149 114.452787 \nL 317.015887 117.379476 \nL 320.028156 120.387682 \nL 322.840384 123.475651 \nL 325.450581 126.641345 \nL 327.857468 129.882428 \nL 330.060391 133.19626 \nL 332.059328 136.579867 \nL 333.854863 140.029942 \nL 335.448172 143.542823 \nL 336.840961 147.1145 \nL 338.035468 150.740594 \nL 339.034451 154.416363 \nL 339.84111 158.136698 \nL 340.459082 161.896122 \nL 340.892436 165.688798 \nL 341.145563 169.508533 \nL 341.215776 174.311263 \nL 341.021692 179.132529 \nL 340.57376 183.958055 \nL 339.882911 188.772843 \nL 338.960453 193.561239 \nL 337.817945 198.307009 \nL 336.467072 202.993405 \nL 334.919588 207.603265 \nL 333.187167 212.119116 \nL 331.281344 216.523237 \nL 329.21344 220.797824 \nL 326.99443 224.925051 \nL 324.634947 228.887226 \nL 322.145168 232.666884 \nL 319.534787 236.246922 \nL 316.812976 239.610692 \nL 313.988342 242.742191 \nL 311.068891 245.626117 \nL 308.06203 248.247973 \nL 304.974585 250.594244 \nL 302.450791 252.26439 \nL 299.882309 253.744287 \nL 297.271797 255.028568 \nL 294.621691 256.112379 \nL 291.934197 256.991444 \nL 289.211334 257.662042 \nL 286.454896 258.12104 \nL 283.666518 258.36593 \nL 280.847664 258.394826 \nL 277.999632 258.206445 \nL 275.123605 257.800158 \nL 272.220652 257.175973 \nL 269.291762 256.334536 \nL 266.337826 255.277115 \nL 263.359703 254.005623 \nL 260.358219 252.522573 \nL 256.574772 250.376063 \nL 252.757767 247.911265 \nL 248.908968 245.136895 \nL 245.030325 242.062985 \nL 241.124028 238.700747 \nL 236.403523 234.302962 \nL 231.651881 229.531142 \nL 226.875083 224.410483 \nL 222.080174 218.967821 \nL 216.47426 212.24877 \nL 210.870212 205.176539 \nL 205.285851 197.799278 \nL 198.954231 189.057596 \nL 192.710074 180.055426 \nL 186.592864 170.86625 \nL 180.646436 161.562323 \nL 174.918635 152.213865 \nL 169.460715 142.888329 \nL 164.32666 133.649787 \nL 160.143905 125.68484 \nL 156.289784 117.870252 \nL 153.276555 111.318246 \nL 150.556058 104.922742 \nL 148.151076 98.702485 \nL 146.083377 92.67464 \nL 144.632758 87.80967 \nL 143.4416 83.097273 \nL 142.519994 78.544817 \nL 141.877023 74.158907 \nL 141.52064 69.945368 \nL 141.446419 66.702126 \nL 141.562738 63.574788 \nL 141.871855 60.565375 \nL 142.375411 57.675631 \nL 143.074429 54.907035 \nL 143.969281 52.260826 \nL 145.059675 49.738005 \nL 146.344645 47.339334 \nL 147.822544 45.065388 \nL 149.491041 42.916549 \nL 151.347093 40.893002 \nL 153.386986 38.994791 \nL 155.606304 37.221802 \nL 157.999962 35.573803 \nL 160.562224 34.050442 \nL 163.286688 32.651266 \nL 166.909623 31.076142 \nL 170.759991 29.69311 \nL 174.821399 28.500904 \nL 179.076168 27.49823 \nL 183.505459 26.683786 \nL 188.089363 26.056298 \nL 192.807056 25.614551 \nL 197.636917 25.357449 \nL 202.556673 25.284034 \nL 208.546955 25.437249 \nL 214.593881 25.85272 \nL 220.657108 26.529748 \nL 226.69633 27.468022 \nL 231.681881 28.449496 \nL 236.600369 29.612629 \nL 241.429646 30.957758 \nL 246.148237 32.48537 \nL 250.735474 34.195979 \nL 255.171622 36.090231 \nL 259.438002 38.168684 \nL 263.517103 40.431932 \nL 267.392673 42.880417 \nL 270.336524 44.972809 \nL 273.13358 47.184056 \nL 275.777466 49.514121 \nL 278.262432 51.962871 \nL 280.583378 54.530024 \nL 282.735833 57.215137 \nL 284.715991 60.017616 \nL 286.520701 62.936638 \nL 288.14746 65.971192 \nL 289.594432 69.120032 \nL 290.86041 72.38165 \nL 291.94483 75.754293 \nL 292.847737 79.235934 \nL 293.569782 82.824235 \nL 294.112212 86.51656 \nL 294.476805 90.309966 \nL 294.665881 94.201167 \nL 294.659759 99.19715 \nL 294.390373 104.332434 \nL 293.865311 109.598329 \nL 293.093118 114.985279 \nL 292.083147 120.482842 \nL 290.845501 126.079699 \nL 289.390874 131.763658 \nL 287.374678 138.680948 \nL 285.08219 145.680698 \nL 282.533923 152.73712 \nL 279.750633 159.822868 \nL 276.753062 166.909163 \nL 273.012356 175.137016 \nL 269.039509 183.274979 \nL 264.864926 191.271747 \nL 260.517379 199.074818 \nL 256.023752 206.631024 \nL 252.074644 212.870922 \nL 248.050761 218.857075 \nL 243.96518 224.556799 \nL 239.829734 229.938271 \nL 235.655042 234.970904 \nL 232.153 238.877208 \nL 228.635163 242.505076 \nL 225.105908 245.839569 \nL 221.569155 248.866862 \nL 218.028411 251.574309 \nL 214.486823 253.950601 \nL 211.65486 255.606481 \nL 208.825513 257.039646 \nL 206.000035 258.246314 \nL 203.179617 259.22336 \nL 200.365407 259.968321 \nL 197.558537 260.479434 \nL 194.760133 260.755621 \nL 191.97135 260.796491 \nL 189.193383 260.602353 \nL 186.427483 260.174218 \nL 183.674998 259.513795 \nL 180.937371 258.623475 \nL 178.216166 257.506321 \nL 175.513085 256.166037 \nL 172.829993 254.606986 \nL 170.168925 252.834121 \nL 167.532105 250.853029 \nL 164.273877 248.093155 \nL 161.062522 245.030589 \nL 157.903777 241.67959 \nL 154.803944 238.055476 \nL 151.7699 234.17457 \nL 148.809116 230.053964 \nL 145.929636 225.711488 \nL 142.593775 220.233602 \nL 139.403394 214.495351 \nL 136.3755 208.529952 \nL 133.528086 202.370898 \nL 130.879963 196.051678 \nL 128.450633 189.605461 \nL 126.260075 183.064872 \nL 124.631636 177.565243 \nL 123.194857 172.04001 \nL 121.961441 166.506421 \nL 120.942907 160.98107 \nL 120.150483 155.479814 \nL 119.594996 150.017727 \nL 119.286736 144.609051 \nL 119.235354 139.26716 \nL 119.449813 134.004528 \nL 119.818201 129.859292 \nL 120.365559 125.777694 \nL 121.09511 121.764843 \nL 122.009651 117.825484 \nL 123.111433 113.963972 \nL 124.402188 110.184297 \nL 125.883089 106.490108 \nL 127.554712 102.88468 \nL 129.417047 99.370963 \nL 131.469425 95.951583 \nL 133.710548 92.628846 \nL 136.138449 89.404781 \nL 138.750498 86.281128 \nL 141.543375 83.259379 \nL 144.513083 80.340782 \nL 147.654946 77.526388 \nL 150.963612 74.817019 \nL 154.433046 72.213353 \nL 158.985682 69.108209 \nL 163.764553 66.169767 \nL 168.753659 63.398487 \nL 173.935565 60.794697 \nL 179.291465 58.358539 \nL 184.801279 56.090164 \nL 190.443769 53.989642 \nL 196.196651 52.057133 \nL 203.213096 49.960206 \nL 210.313484 48.106177 \nL 217.454988 46.496047 \nL 224.593894 45.131187 \nL 231.685991 44.013387 \nL 238.686978 43.144932 \nL 245.552864 42.528478 \nL 252.240393 42.167107 \nL 258.707433 42.064264 \nL 264.913376 42.223651 \nL 269.857562 42.55957 \nL 274.57232 43.082569 \nL 279.037666 43.794931 \nL 283.234993 44.698872 \nL 287.147162 45.79649 \nL 290.06108 46.815308 \nL 292.775311 47.96018 \nL 295.283361 49.231877 \nL 297.579474 50.631026 \nL 299.658646 52.158107 \nL 301.516636 53.813438 \nL 303.149969 55.597134 \nL 304.555957 57.509106 \nL 305.732686 59.549054 \nL 306.679023 61.716447 \nL 307.394602 64.010495 \nL 307.879808 66.430163 \nL 308.135776 68.974114 \nL 308.164348 71.640754 \nL 307.968069 74.428195 \nL 307.550144 77.334225 \nL 306.914422 80.356347 \nL 305.820347 84.292925 \nL 304.402891 88.400265 \nL 302.673253 92.671407 \nL 300.643765 97.098585 \nL 298.327742 101.673278 \nL 295.190315 107.344491 \nL 291.686592 113.197222 \nL 287.843556 119.212457 \nL 282.968232 126.408255 \nL 277.713668 133.762498 \nL 271.301624 142.313515 \nL 264.518893 150.963821 \nL 257.429392 159.651281 \nL 250.093932 168.311156 \nL 242.569407 176.876754 \nL 234.908152 185.280115 \nL 227.157518 193.452795 \nL 219.359644 201.326695 \nL 212.526863 207.918643 \nL 205.70767 214.187115 \nL 198.920636 220.090346 \nL 193.140885 224.829509 \nL 187.405054 229.247898 \nL 181.720537 233.323853 \nL 177.027272 236.444575 \nL 172.377331 239.303359 \nL 167.773604 241.890952 \nL 163.218722 244.199213 \nL 158.715124 246.221237 \nL 154.265122 247.951347 \nL 149.870977 249.385176 \nL 145.53499 250.519704 \nL 142.109678 251.210662 \nL 138.724418 251.708767 \nL 135.380599 252.014355 \nL 132.079719 252.128321 \nL 128.823412 252.052161 \nL 125.613457 251.787894 \nL 122.451809 251.33808 \nL 119.340588 250.705818 \nL 116.282127 249.894722 \nL 113.278959 248.908918 \nL 110.333839 247.752985 \nL 106.738596 246.07656 \nL 103.245021 244.153021 \nL 99.86003 241.994131 \nL 96.591112 239.612516 \nL 93.446316 237.021603 \nL 90.434276 234.235472 \nL 87.564148 231.268806 \nL 84.845618 228.136731 \nL 82.288827 224.854735 \nL 79.904339 221.43857 \nL 77.703074 217.904113 \nL 75.696259 214.267264 \nL 73.895339 210.543859 \nL 72.311908 206.749559 \nL 70.957571 202.899737 \nL 69.843967 199.009404 \nL 68.982529 195.093115 \nL 68.384486 191.164897 \nL 68.060723 187.238151 \nL 68.006231 184.106401 \nL 68.139054 180.989954 \nL 68.464018 177.894682 \nL 68.985662 174.82613 \nL 69.70817 171.789505 \nL 70.635385 168.789663 \nL 71.770758 165.831106 \nL 73.117298 162.917976 \nL 74.677542 160.05406 \nL 76.453559 157.242781 \nL 78.44694 154.487206 \nL 80.658701 151.790057 \nL 83.089301 149.153708 \nL 85.738658 146.580207 \nL 88.606075 144.07128 \nL 91.690239 141.628352 \nL 94.989273 139.252555 \nL 99.411275 136.378505 \nL 104.158664 133.611822 \nL 109.223539 130.9531 \nL 114.59648 128.402458 \nL 120.266522 125.95961 \nL 126.22119 123.623937 \nL 132.446541 121.394565 \nL 140.252505 118.85815 \nL 148.396811 116.471317 \nL 156.847553 114.232056 \nL 165.570252 112.13853 \nL 176.041232 109.878284 \nL 186.770121 107.812814 \nL 197.691466 105.941728 \nL 208.736994 104.266047 \nL 219.836217 102.788373 \nL 230.917104 101.512966 \nL 241.906756 100.445781 \nL 252.732121 99.594462 \nL 263.320718 98.968169 \nL 273.601372 98.577454 \nL 283.504979 98.433972 \nL 291.643322 98.517204 \nL 299.416135 98.799364 \nL 306.785909 99.28867 \nL 313.717642 99.993178 \nL 319.13618 100.750258 \nL 324.211117 101.666371 \nL 328.92703 102.745364 \nL 333.270163 103.990653 \nL 336.468101 105.108594 \nL 339.414388 106.336052 \nL 342.104425 107.673985 \nL 344.534384 109.123042 \nL 346.701189 110.68358 \nL 348.602541 112.355604 \nL 350.236932 114.138782 \nL 351.603594 116.032405 \nL 352.702529 118.035378 \nL 353.534468 120.146217 \nL 354.100874 122.363027 \nL 354.403908 124.683506 \nL 354.44643 127.104927 \nL 354.231925 129.624137 \nL 353.764533 132.237566 \nL 353.048942 134.941221 \nL 352.090423 137.730685 \nL 350.894737 140.601138 \nL 349.076153 144.295098 \nL 346.909863 148.096344 \nL 344.409873 151.992904 \nL 341.590922 155.97194 \nL 338.468422 160.01981 \nL 335.058266 164.122134 \nL 330.609178 169.095571 \nL 325.797578 174.098615 \nL 320.651993 179.103157 \nL 315.200755 184.080299 \nL 309.471779 189.000619 \nL 303.492261 193.834405 \nL 297.288513 198.551917 \nL 290.885798 203.123648 \nL 284.308145 207.520614 \nL 277.578277 211.714608 \nL 271.869248 215.034927 \nL 266.081006 218.180379 \nL 260.224504 221.13667 \nL 254.310036 223.890336 \nL 248.347267 226.428849 \nL 242.345255 228.740698 \nL 236.312503 230.815432 \nL 230.25701 232.643841 \nL 224.186317 234.217919 \nL 218.107588 235.530937 \nL 212.027667 236.577545 \nL 205.95315 237.353794 \nL 199.890468 237.857114 \nL 193.845958 238.086401 \nL 187.82594 238.041962 \nL 181.836799 237.725579 \nL 175.885061 237.140439 \nL 169.977451 236.291139 \nL 164.120977 235.183647 \nL 158.322994 233.825217 \nL 152.591257 232.224385 \nL 146.933964 230.390901 \nL 141.359815 228.335624 \nL 135.878027 226.070432 \nL 130.498392 223.608194 \nL 125.231251 220.962609 \nL 120.087553 218.148144 \nL 115.078793 215.179919 \nL 110.217034 212.073584 \nL 105.514842 208.845232 \nL 100.1013 204.83326 \nL 94.959854 200.697927 \nL 90.11464 196.468083 \nL 85.590433 192.172464 \nL 82.083561 188.562976 \nL 78.831633 184.943525 \nL 75.849205 181.329739 \nL 73.150661 177.736727 \nL 70.75012 174.178999 \nL 68.661304 170.670379 \nL 66.897406 167.223928 \nL 65.728692 164.519779 \nL 64.782086 161.869128 \nL 64.063283 159.277453 \nL 63.577643 156.749841 \nL 63.330084 154.290974 \nL 63.325053 151.905117 \nL 63.566507 149.596112 \nL 64.057875 147.367379 \nL 64.802027 145.221906 \nL 65.801238 143.162252 \nL 67.05719 141.190559 \nL 68.570933 139.308542 \nL 70.342869 137.517513 \nL 72.372757 135.81838 \nL 74.65966 134.21167 \nL 77.201999 132.697536 \nL 79.997477 131.275777 \nL 83.043132 129.945858 \nL 87.196377 128.411292 \nL 91.726209 127.016597 \nL 96.622417 125.75886 \nL 101.873236 124.63461 \nL 107.465369 123.639911 \nL 114.605639 122.611174 \nL 122.188037 121.754747 \nL 130.181803 121.062232 \nL 139.983343 120.450043 \nL 150.243002 120.035814 \nL 162.452074 119.788196 \nL 175.086526 119.764374 \nL 188.047962 119.948745 \nL 202.894315 120.38925 \nL 217.879774 121.063951 \nL 232.857122 121.965296 \nL 247.680509 123.09156 \nL 260.612292 124.284557 \nL 273.213066 125.664494 \nL 285.390421 127.24035 \nL 295.629603 128.788707 \nL 305.423197 130.50412 \nL 313.424635 132.114269 \nL 321.032273 133.859525 \nL 328.219408 135.745481 \nL 334.962041 137.777369 \nL 340.226009 139.585469 \nL 345.155877 141.50045 \nL 349.742385 143.524151 \nL 353.977746 145.657877 \nL 357.855694 147.902324 \nL 360.697421 149.777645 \nL 363.305503 151.723538 \nL 365.678775 153.739363 \nL 367.816652 155.824143 \nL 369.719113 157.976554 \nL 371.386741 160.194907 \nL 372.820656 162.477143 \nL 374.022504 164.820824 \nL 374.994469 167.223127 \nL 375.739204 169.68084 \nL 376.259831 172.190364 \nL 376.559915 174.747714 \nL 376.643437 177.348523 \nL 376.514753 179.988053 \nL 376.178561 182.661199 \nL 375.63987 185.362498 \nL 374.903984 188.086154 \nL 373.715273 191.512811 \nL 372.238403 194.952214 \nL 370.485046 198.391059 \nL 368.467221 201.815465 \nL 366.197091 205.211006 \nL 363.686983 208.562833 \nL 360.949187 211.855748 \nL 357.995915 215.074305 \nL 354.839218 218.202899 \nL 351.490905 221.225888 \nL 347.962469 224.127685 \nL 344.264999 226.892886 \nL 340.40922 229.506381 \nL 336.40532 231.953396 \nL 332.263028 234.219708 \nL 327.99156 236.29167 \nL 323.599526 238.156308 \nL 319.095076 239.801526 \nL 314.485782 241.21604 \nL 309.77869 242.389605 \nL 304.980364 243.312993 \nL 300.096888 243.978128 \nL 295.133919 244.378101 \nL 290.09673 244.507263 \nL 284.990293 244.361257 \nL 279.819269 243.937037 \nL 274.588126 243.232901 \nL 269.3012 242.248532 \nL 263.962757 240.984948 \nL 258.577073 239.444548 \nL 253.148494 237.631043 \nL 247.681535 235.549455 \nL 242.180941 233.206106 \nL 236.651768 230.60856 \nL 231.099462 227.76553 \nL 225.529913 224.686842 \nL 219.949535 221.383385 \nL 213.248678 217.139319 \nL 206.555628 212.61092 \nL 199.885118 207.822039 \nL 193.253404 202.797966 \nL 186.678329 197.565192 \nL 179.105052 191.233228 \nL 171.66914 184.699549 \nL 164.407238 178.009947 \nL 157.358735 171.210617 \nL 150.565554 164.347685 \nL 144.071731 157.466735 \nL 137.923013 150.612366 \nL 132.166322 143.827787 \nL 127.579992 138.099441 \nL 123.346363 132.477694 \nL 119.494872 126.986098 \nL 116.054188 121.646768 \nL 113.520653 117.328526 \nL 111.306685 113.141355 \nL 109.426565 109.09546 \nL 107.893544 105.200172 \nL 106.92518 102.198097 \nL 106.192325 99.301759 \nL 105.699996 96.514716 \nL 105.452586 93.840142 \nL 105.453855 91.280852 \nL 105.706879 88.839297 \nL 106.214003 86.517565 \nL 106.976849 84.317389 \nL 107.996263 82.240167 \nL 109.272292 80.286961 \nL 110.804203 78.458503 \nL 112.590466 76.755232 \nL 114.628689 75.177292 \nL 116.915717 73.724547 \nL 119.447549 72.396598 \nL 122.219405 71.192852 \nL 125.225677 70.11246 \nL 128.460009 69.154374 \nL 132.812718 68.126922 \nL 137.495096 67.286026 \nL 142.489935 66.628737 \nL 147.778428 66.151851 \nL 153.340325 65.852073 \nL 160.344924 65.721308 \nL 167.672326 65.834715 \nL 175.280678 66.186504 \nL 183.126331 66.771104 \nL 191.164239 67.583307 \nL 199.348339 68.618384 \nL 207.631964 69.87213 \nL 215.968257 71.34094 \nL 224.310559 73.021784 \nL 232.612811 74.912246 \nL 240.829928 77.010474 \nL 248.918167 79.315141 \nL 256.835476 81.82536 \nL 264.541797 84.540573 \nL 270.775252 86.959577 \nL 276.815443 89.520527 \nL 282.64321 92.223223 \nL 288.240832 95.067391 \nL 293.592055 98.052596 \nL 298.682221 101.178145 \nL 303.498246 104.443053 \nL 307.145951 107.154405 \nL 310.605775 109.953182 \nL 313.873321 112.838273 \nL 316.944896 115.808335 \nL 319.817459 118.861779 \nL 322.488677 121.99675 \nL 324.95687 125.2111 \nL 327.221008 128.502379 \nL 329.280726 131.867813 \nL 331.136253 135.304302 \nL 332.788456 138.808389 \nL 334.238733 142.376268 \nL 335.48907 146.00377 \nL 336.541962 149.686358 \nL 337.40037 153.419123 \nL 338.067745 157.196786 \nL 338.547954 161.013701 \nL 338.845238 164.863856 \nL 338.966639 169.713557 \nL 338.8191 174.592022 \nL 338.412912 179.485237 \nL 337.758925 184.378441 \nL 336.868413 189.256161 \nL 335.752945 194.102299 \nL 334.424287 198.900185 \nL 332.894297 203.632676 \nL 331.174818 208.282246 \nL 329.277582 212.831075 \nL 327.214125 217.26118 \nL 324.995721 221.554493 \nL 322.633266 225.693001 \nL 320.137266 229.658852 \nL 317.517751 233.43448 \nL 314.784231 237.002722 \nL 311.945678 240.346965 \nL 309.010488 243.451215 \nL 305.986447 246.300285 \nL 302.880732 248.879853 \nL 299.699932 251.176603 \nL 297.105267 252.802125 \nL 294.469162 254.233102 \nL 291.794176 255.464328 \nL 289.082655 256.491178 \nL 286.336713 257.309554 \nL 283.558282 257.915992 \nL 280.749096 258.307614 \nL 277.910713 258.482163 \nL 275.044565 258.438016 \nL 272.151925 258.174201 \nL 269.233954 257.690381 \nL 266.291726 256.986865 \nL 263.326237 256.06462 \nL 260.33843 254.925229 \nL 257.329219 253.570917 \nL 254.299503 252.004534 \nL 250.484922 249.753613 \nL 246.641609 247.184742 \nL 242.771592 244.307272 \nL 238.877127 241.13183 \nL 234.960753 237.670256 \nL 230.236293 233.156947 \nL 225.490277 228.274527 \nL 220.729497 223.049081 \nL 215.961866 217.508284 \nL 210.403234 210.684153 \nL 204.864549 203.51798 \nL 199.365164 196.058829 \nL 193.156612 187.239264 \nL 187.065292 178.176782 \nL 181.132691 168.945429 \nL 175.404389 159.617739 \nL 169.929607 150.263921 \nL 164.760563 140.951149 \nL 160.531205 132.886185 \nL 156.614846 124.941323 \nL 153.048976 117.153889 \nL 150.299598 110.630494 \nL 147.857725 104.268203 \nL 145.745259 98.08542 \nL 144.251484 93.082371 \nL 143.012082 88.224473 \nL 142.037436 83.519758 \nL 141.336954 78.975467 \nL 140.918984 74.59805 \nL 140.79286 71.220146 \nL 140.855225 67.955296 \nL 141.108603 64.805784 \nL 141.554929 61.77362 \nL 142.195539 58.860532 \nL 143.031119 56.06798 \nL 144.061715 53.397187 \nL 145.286711 50.849127 \nL 146.704818 48.424562 \nL 148.314049 46.124049 \nL 150.111739 43.947942 \nL 152.094521 41.89642 \nL 154.258341 39.969507 \nL 156.598479 38.16709 \nL 159.109519 36.48892 \nL 161.785424 34.934652 \nL 164.61949 33.503834 \nL 168.373316 31.888142 \nL 172.347269 30.463426 \nL 176.524439 29.228472 \nL 180.886678 28.182023 \nL 185.414692 27.322858 \nL 190.08818 26.649753 \nL 194.885948 26.161611 \nL 199.786056 25.857431 \nL 204.765958 25.736337 \nL 210.814756 25.831758 \nL 216.905014 26.188985 \nL 222.996184 26.807546 \nL 229.047852 27.687355 \nL 234.031927 28.620289 \nL 238.93822 29.735176 \nL 243.744684 31.032501 \nL 248.429986 32.512858 \nL 252.973649 34.17693 \nL 257.356174 36.025397 \nL 261.559158 38.058996 \nL 265.565411 40.278363 \nL 269.359031 42.684057 \nL 272.231039 44.743036 \nL 274.95089 46.921622 \nL 277.512449 49.219833 \nL 279.910205 51.637535 \nL 282.139294 54.174472 \nL 284.195519 56.830219 \nL 286.075342 59.604155 \nL 287.775887 62.495502 \nL 289.294924 65.503233 \nL 290.630905 68.62608 \nL 291.782914 71.862548 \nL 292.750678 75.210873 \nL 293.534544 78.668998 \nL 294.135445 82.234583 \nL 294.554902 85.904973 \nL 294.794995 89.677209 \nL 294.858319 93.547988 \nL 294.693665 98.519462 \nL 294.264753 103.631354 \nL 293.579666 108.874946 \nL 292.647427 114.24065 \nL 291.477862 119.718022 \nL 290.081489 125.295731 \nL 288.122129 132.104204 \nL 285.872219 139.016889 \nL 283.352461 146.009415 \nL 280.583944 153.055794 \nL 277.587887 160.128522 \nL 273.833021 168.374723 \nL 269.829961 176.569414 \nL 265.610436 184.662673 \nL 261.20467 192.603083 \nL 256.641086 200.338216 \nL 251.946071 207.815149 \nL 247.835539 213.978392 \nL 243.660087 219.880232 \nL 239.432319 225.488463 \nL 235.163568 230.771843 \nL 230.863957 235.700411 \nL 227.263866 239.515979 \nL 223.653186 243.04994 \nL 220.03604 246.287895 \nL 216.416112 249.216525 \nL 212.796698 251.823787 \nL 209.18076 254.098937 \nL 206.292326 255.673626 \nL 203.409113 257.025689 \nL 200.532328 258.151681 \nL 197.663127 259.048794 \nL 194.802643 259.714911 \nL 191.95201 260.148572 \nL 189.112373 260.349015 \nL 186.284916 260.316177 \nL 183.470881 260.050689 \nL 180.671602 259.553868 \nL 177.888498 258.827708 \nL 175.123116 257.874901 \nL 172.377139 256.698777 \nL 169.652404 255.303302 \nL 166.950921 253.693083 \nL 164.274878 251.873317 \nL 161.626675 249.84977 \nL 158.359558 247.043439 \nL 155.145601 243.942023 \nL 151.99095 240.560098 \nL 148.902305 236.913252 \nL 145.887 233.017964 \nL 142.952942 228.891513 \nL 140.108614 224.551817 \nL 137.363073 220.017316 \nL 134.212383 214.345324 \nL 131.235346 208.452995 \nL 128.450439 202.373608 \nL 125.876932 196.140383 \nL 123.534719 189.786209 \nL 121.7742 184.421967 \nL 120.200287 179.014379 \nL 118.824867 173.581156 \nL 117.659732 168.139431 \nL 116.716465 162.705666 \nL 116.006316 157.295597 \nL 115.540159 151.924173 \nL 115.328273 146.605506 \nL 115.380261 141.352842 \nL 115.617827 137.206559 \nL 116.034077 133.116334 \nL 116.632702 129.087684 \nL 117.417009 125.125752 \nL 118.389775 121.235295 \nL 119.553298 117.4207 \nL 120.909315 113.685975 \nL 122.459029 110.034775 \nL 124.203021 106.470408 \nL 126.141281 102.995816 \nL 128.273145 99.613644 \nL 130.597303 96.326211 \nL 133.111779 93.135537 \nL 135.813913 90.043366 \nL 138.700379 87.051191 \nL 141.767135 84.160264 \nL 145.00947 81.371609 \nL 148.421982 78.686058 \nL 151.998594 76.104275 \nL 156.689793 73.023723 \nL 161.612195 70.106801 \nL 166.749656 67.353967 \nL 172.084575 64.765507 \nL 177.597963 62.341571 \nL 183.269531 60.082246 \nL 189.077812 57.98764 \nL 195.000275 56.057911 \nL 202.224841 53.960196 \nL 209.53792 52.100907 \nL 216.896133 50.481115 \nL 224.255176 49.102254 \nL 231.570199 47.966246 \nL 238.796222 47.075492 \nL 245.888533 46.432834 \nL 252.803112 46.041557 \nL 259.497024 45.905301 \nL 265.928837 46.02799 \nL 271.059879 46.331036 \nL 275.959683 46.819222 \nL 280.607771 47.494984 \nL 284.985005 48.360703 \nL 289.073737 49.418619 \nL 292.857861 50.670842 \nL 295.656123 51.813757 \nL 298.243625 53.083009 \nL 300.614541 54.479263 \nL 302.763801 56.003032 \nL 304.687111 57.654661 \nL 306.380956 59.434239 \nL 307.842614 61.341704 \nL 309.070153 63.376754 \nL 310.062425 65.538816 \nL 310.819051 67.827072 \nL 311.340432 70.240417 \nL 311.627699 72.777461 \nL 311.682735 75.436537 \nL 311.508099 78.215655 \nL 311.107044 81.112523 \nL 310.483459 84.124527 \nL 309.641848 87.248724 \nL 308.291032 91.306742 \nL 306.618602 95.527845 \nL 304.636804 99.904132 \nL 302.358928 104.426904 \nL 299.254664 110.034182 \nL 295.770419 115.820866 \nL 291.933305 121.767568 \nL 287.048033 128.879714 \nL 281.76576 136.145689 \nL 276.1319 143.527596 \nL 269.320283 152.054591 \nL 262.173359 160.617986 \nL 254.753531 169.152529 \nL 247.119416 177.59108 \nL 239.325207 185.86533 \nL 231.420199 193.90662 \nL 224.447243 200.698037 \nL 217.449573 207.214047 \nL 210.450393 213.411114 \nL 204.465342 218.437331 \nL 198.505283 223.173506 \nL 192.579997 227.5961 \nL 186.698024 231.683205 \nL 181.834864 234.818353 \nL 177.010782 237.696098 \nL 172.229201 240.307016 \nL 167.493237 242.64282 \nL 162.805771 244.696424 \nL 158.169527 246.461992 \nL 153.587141 247.934999 \nL 149.061243 249.112221 \nL 145.482996 249.839763 \nL 141.944046 250.376488 \nL 138.445915 250.722653 \nL 134.990201 250.879065 \nL 131.578644 250.847095 \nL 128.213107 250.628684 \nL 124.895608 250.226311 \nL 121.628342 249.642987 \nL 118.413682 248.882218 \nL 115.254206 247.948044 \nL 111.386765 246.543377 \nL 107.615892 244.884637 \nL 103.948069 242.982653 \nL 100.390386 240.849232 \nL 96.950491 238.497054 \nL 93.636605 235.939545 \nL 90.45752 233.190821 \nL 87.422555 230.265574 \nL 84.541543 227.178938 \nL 81.824751 223.946402 \nL 79.282938 220.58369 \nL 76.927159 217.106672 \nL 74.768804 213.531235 \nL 72.819454 209.873172 \nL 71.090828 206.148094 \nL 69.59475 202.371345 \nL 68.342937 198.557868 \nL 67.346996 194.722162 \nL 66.618302 190.878167 \nL 66.235175 187.805991 \nL 66.03558 184.743569 \nL 66.024752 181.697119 \nL 66.207643 178.67254 \nL 66.58894 175.675401 \nL 67.173 172.710929 \nL 67.963789 169.784001 \nL 68.964933 166.899135 \nL 70.17961 164.060485 \nL 71.610551 161.27184 \nL 73.260023 158.536623 \nL 75.129772 155.857897 \nL 77.221036 153.238363 \nL 79.534487 150.680377 \nL 82.070229 148.18595 \nL 84.827793 145.756766 \nL 87.806105 143.394198 \nL 91.003483 141.099314 \nL 95.304678 138.327068 \nL 99.938612 135.662766 \nL 104.897876 133.106803 \nL 110.173495 130.659071 \nL 115.754995 128.319021 \nL 121.630383 126.085752 \nL 127.78619 123.958078 \nL 135.522238 121.542291 \nL 143.612189 119.273945 \nL 152.024954 117.150351 \nL 160.726879 115.168962 \nL 171.196438 113.03408 \nL 181.94964 111.086905 \nL 192.922186 109.325822 \nL 204.046864 107.750597 \nL 216.857786 106.179755 \nL 229.670102 104.858342 \nL 242.375777 103.794204 \nL 254.866506 102.998176 \nL 265.535249 102.532196 \nL 275.887017 102.29246 \nL 285.853703 102.290706 \nL 294.04057 102.488138 \nL 301.857567 102.877821 \nL 309.267948 103.468009 \nL 316.237514 104.266791 \nL 321.68602 105.097387 \nL 326.789986 106.082416 \nL 331.534471 107.225703 \nL 335.906086 108.530627 \nL 339.127074 109.692883 \nL 342.096822 110.961613 \nL 344.810916 112.337728 \nL 347.265697 113.821845 \nL 349.458307 115.414255 \nL 351.386563 117.114917 \nL 353.049091 118.923429 \nL 354.445241 120.839013 \nL 355.575115 122.860507 \nL 356.439525 124.986344 \nL 357.040014 127.214545 \nL 357.378813 129.542717 \nL 357.458779 131.968037 \nL 357.283446 134.487261 \nL 356.85694 137.096717 \nL 356.183951 139.792303 \nL 355.269679 142.569505 \nL 354.119865 145.423389 \nL 352.74066 148.348624 \nL 350.70414 152.096745 \nL 348.333178 155.93537 \nL 345.642169 159.851624 \nL 342.646112 163.83182 \nL 339.360524 167.861528 \nL 335.058003 172.741227 \nL 330.389208 177.64325 \nL 325.38206 182.539394 \nL 320.06432 187.400682 \nL 314.463372 192.197614 \nL 308.605923 196.90042 \nL 302.517791 201.479325 \nL 296.223787 205.904824 \nL 289.747555 210.147973 \nL 284.227659 213.524296 \nL 278.609 216.738708 \nL 272.903166 219.776128 \nL 267.121087 222.622226 \nL 261.273048 225.263489 \nL 255.368713 227.687368 \nL 249.417158 229.882302 \nL 243.426911 231.837872 \nL 237.405989 233.544832 \nL 231.361978 234.995177 \nL 225.302074 236.182221 \nL 219.233162 237.100668 \nL 213.161885 237.746603 \nL 207.094717 238.117511 \nL 201.038043 238.212375 \nL 194.998237 238.03161 \nL 188.981733 237.577075 \nL 182.995111 236.852093 \nL 177.045168 235.861375 \nL 171.138981 234.611038 \nL 165.283974 233.108488 \nL 159.48798 231.362429 \nL 153.759307 229.382798 \nL 148.106765 227.180603 \nL 142.539688 224.767935 \nL 137.068019 222.15784 \nL 131.702281 219.36423 \nL 126.453565 216.40178 \nL 121.333591 213.285818 \nL 116.354639 210.032214 \nL 110.584199 205.969206 \nL 105.05854 201.760276 \nL 99.801764 197.434599 \nL 94.83875 193.02145 \nL 90.195006 188.549918 \nL 85.896361 184.048655 \nL 82.596538 180.295089 \nL 79.569359 176.556002 \nL 76.829631 172.846532 \nL 74.391829 169.181189 \nL 72.26997 165.573764 \nL 70.477533 162.037268 \nL 69.289394 159.267343 \nL 68.326484 156.556423 \nL 67.5946 153.909931 \nL 67.099128 151.33289 \nL 66.845029 148.829914 \nL 66.836728 146.405193 \nL 67.078159 144.062493 \nL 67.572728 141.805152 \nL 68.323214 139.636077 \nL 69.331801 137.557745 \nL 70.600055 135.572212 \nL 72.128868 133.681112 \nL 73.91848 131.885678 \nL 75.968411 130.186741 \nL 78.277541 128.584751 \nL 80.844016 127.079788 \nL 83.665277 125.67159 \nL 86.738052 124.359562 \nL 90.92665 122.853361 \nL 95.492771 121.493622 \nL 100.425567 120.27735 \nL 105.712516 119.201021 \nL 111.339579 118.260672 \nL 118.519065 117.305609 \nL 126.136433 116.532088 \nL 134.159532 115.931767 \nL 143.98634 115.438985 \nL 154.259536 115.157104 \nL 164.916923 115.073386 \nL 177.48367 115.205306 \nL 190.36649 115.565245 \nL 203.462064 116.140475 \nL 216.665644 116.921426 \nL 229.872271 117.901932 \nL 242.977962 119.0793 \nL 255.880853 120.454265 \nL 268.482307 122.030708 \nL 279.187022 123.580563 \nL 289.528752 125.295669 \nL 299.451161 127.182932 \nL 307.582604 128.943323 \nL 315.337157 130.840635 \nL 322.687049 132.879698 \nL 328.4847 134.690486 \nL 333.970913 136.605255 \nL 339.134129 138.626071 \nL 343.964228 140.754603 \nL 348.452579 142.992043 \nL 352.592024 145.339035 \nL 355.648529 147.295546 \nL 358.475918 149.3219 \nL 361.07259 151.417495 \nL 363.437549 153.581417 \nL 365.570419 155.812413 \nL 367.471371 158.108887 \nL 369.141148 160.468883 \nL 370.581065 162.890078 \nL 371.792941 165.369774 \nL 372.779106 167.904893 \nL 373.542364 170.491973 \nL 374.086006 173.127175 \nL 374.41368 175.806279 \nL 374.529501 178.52469 \nL 374.437919 181.277448 \nL 374.143699 184.05924 \nL 373.651943 186.864404 \nL 372.968 189.686948 \nL 371.851309 193.229951 \nL 370.454347 196.777316 \nL 368.788789 200.315452 \nL 366.866594 203.830192 \nL 364.699869 207.306892 \nL 362.300758 210.730496 \nL 359.681402 214.085636 \nL 356.853819 217.356725 \nL 353.82983 220.528076 \nL 350.620973 223.583986 \nL 347.23844 226.508862 \nL 343.693047 229.287306 \nL 339.995143 231.904264 \nL 336.154594 234.345089 \nL 332.180741 236.595655 \nL 328.082377 238.64252 \nL 323.867779 240.472939 \nL 319.544632 242.07502 \nL 315.120092 243.437807 \nL 310.600796 244.551348 \nL 305.99285 245.406767 \nL 301.301914 245.996353 \nL 297.492922 246.272203 \nL 293.636646 246.370998 \nL 289.73543 246.290508 \nL 285.79151 246.029075 \nL 281.807007 245.585575 \nL 276.772424 244.774373 \nL 271.681486 243.677995 \nL 266.537999 242.297921 \nL 261.345762 240.63702 \nL 256.108666 238.69948 \nL 250.830741 236.490776 \nL 245.516257 234.017663 \nL 240.16979 231.288094 \nL 234.796293 228.31119 \nL 229.401171 225.097172 \nL 222.906858 220.943228 \nL 216.401299 216.485259 \nL 209.897166 211.746224 \nL 203.408581 206.750639 \nL 196.951204 201.524352 \nL 189.480173 195.171427 \nL 182.105433 188.585456 \nL 174.860264 181.811848 \nL 167.780899 174.896633 \nL 160.906328 167.886017 \nL 154.278064 160.825905 \nL 147.939738 153.76147 \nL 141.936672 146.736736 \nL 136.315337 139.794192 \nL 131.836499 133.93969 \nL 127.702171 128.19972 \nL 123.941473 122.597235 \nL 120.582739 117.15373 \nL 118.11051 112.753363 \nL 115.951309 108.487955 \nL 114.119187 104.367362 \nL 112.627201 100.40059 \nL 111.686553 97.343435 \nL 110.976724 94.393724 \nL 110.502621 91.554878 \nL 110.268588 88.82995 \nL 110.278261 86.221639 \nL 110.534612 83.732298 \nL 111.039894 81.363927 \nL 111.795629 79.118192 \nL 112.802603 76.996429 \nL 114.060762 74.999653 \nL 115.569303 73.128594 \nL 117.326604 71.38366 \nL 119.330206 69.765001 \nL 121.57688 68.272503 \nL 124.062572 66.905827 \nL 126.782422 65.6644 \nL 129.730784 64.547441 \nL 132.901248 63.554004 \nL 137.165672 62.48422 \nL 141.750299 61.603234 \nL 146.637864 60.908344 \nL 151.809523 60.396628 \nL 157.244977 60.065039 \nL 164.085161 59.900524 \nL 171.234303 59.985567 \nL 178.650612 60.314888 \nL 186.290532 60.883548 \nL 194.109158 61.686904 \nL 202.060609 62.720795 \nL 210.098471 63.981572 \nL 218.176193 65.466136 \nL 226.247492 67.171945 \nL 234.266751 69.097006 \nL 242.189399 71.239877 \nL 249.972285 73.599503 \nL 257.574026 76.175237 \nL 263.742015 78.486497 \nL 269.735383 80.947398 \nL 275.533897 83.557803 \nL 281.118679 86.317508 \nL 286.472297 89.226195 \nL 291.578825 92.283345 \nL 296.423914 95.488184 \nL 300.103159 98.157662 \nL 303.601171 100.92021 \nL 306.912879 103.774894 \nL 310.033932 106.720572 \nL 312.96065 109.755852 \nL 315.690042 112.879107 \nL 318.219816 116.088427 \nL 320.548359 119.381618 \nL 322.674689 122.756175 \nL 324.598497 126.209265 \nL 326.320091 129.737715 \nL 327.840386 133.338013 \nL 329.160868 137.006283 \nL 330.283585 140.73828 \nL 331.211108 144.529388 \nL 331.946502 148.374614 \nL 332.493265 152.268591 \nL 332.855343 156.205576 \nL 333.037079 160.179459 \nL 333.01779 165.1888 \nL 332.733838 170.232227 \nL 332.195685 175.295491 \nL 331.414328 180.363566 \nL 330.401156 185.420701 \nL 329.167854 190.450484 \nL 327.726291 195.435933 \nL 326.088447 200.359546 \nL 324.266227 205.203434 \nL 322.27144 209.94939 \nL 320.115703 214.578994 \nL 317.810335 219.073746 \nL 315.366313 223.415159 \nL 312.794155 227.584898 \nL 310.10394 231.5649 \nL 307.305203 235.337473 \nL 304.406938 238.885444 \nL 301.417553 242.192306 \nL 298.344869 245.242288 \nL 295.196078 248.02052 \nL 291.977782 250.513098 \nL 289.357163 252.292888 \nL 286.698722 253.875681 \nL 284.005036 255.255985 \nL 281.278463 256.428904 \nL 278.52115 257.390106 \nL 275.735065 258.135847 \nL 272.921979 258.663007 \nL 270.0835 258.969091 \nL 267.22109 259.052265 \nL 264.336099 258.911342 \nL 261.42975 258.545809 \nL 258.503181 257.955808 \nL 255.557458 257.142143 \nL 252.593613 256.106278 \nL 249.612646 254.850318 \nL 246.615546 253.37701 \nL 243.603339 251.689727 \nL 239.818446 249.285849 \nL 236.013814 246.562922 \nL 232.19188 243.531325 \nL 228.355366 240.202712 \nL 224.507342 236.589908 \nL 219.879446 231.899022 \nL 215.246898 226.844807 \nL 210.617663 221.45482 \nL 206.000887 215.758107 \nL 200.644354 208.764658 \nL 195.337816 201.444428 \nL 190.102629 193.847986 \nL 184.962695 186.026402 \nL 179.944414 178.03067 \nL 174.395202 168.744102 \nL 169.737229 160.543635 \nL 165.298237 152.323411 \nL 161.112755 144.129161 \nL 157.216364 136.004385 \nL 153.645172 127.990071 \nL 150.870378 121.237649 \nL 148.383479 114.616925 \nL 146.206282 108.148662 \nL 144.643643 102.888727 \nL 143.322074 97.758091 \nL 142.252335 92.766076 \nL 141.444349 87.921183 \nL 140.907104 83.231076 \nL 140.648523 78.702645 \nL 140.646877 75.200432 \nL 140.830808 71.80835 \nL 141.20265 68.52887 \nL 141.764157 65.36417 \nL 142.516495 62.316128 \nL 143.460203 59.386346 \nL 144.595164 56.576198 \nL 145.920632 53.886764 \nL 147.435176 51.318947 \nL 149.136687 48.87341 \nL 151.022386 46.550607 \nL 153.08881 44.350838 \nL 155.331814 42.274227 \nL 157.746583 40.320747 \nL 160.327648 38.490248 \nL 163.068879 36.782464 \nL 165.963526 35.197041 \nL 169.786313 33.386689 \nL 173.821641 31.765887 \nL 178.052537 30.333599 \nL 182.460793 29.088727 \nL 187.027078 28.030173 \nL 191.731057 27.156908 \nL 196.551523 26.46797 \nL 201.466527 25.962515 \nL 206.453522 25.639844 \nL 212.500545 25.493173 \nL 218.577835 25.608343 \nL 224.644881 25.985177 \nL 229.663799 26.499222 \nL 234.624481 27.195431 \nL 239.504245 28.074275 \nL 244.280963 29.136389 \nL 248.933216 30.382528 \nL 253.440412 31.813523 \nL 257.782928 33.430269 \nL 261.942227 35.233678 \nL 265.900962 37.224591 \nL 269.643086 39.403806 \nL 272.470921 41.28318 \nL 275.143877 43.28372 \nL 277.655734 45.405576 \nL 280.000908 47.648774 \nL 282.174481 50.013208 \nL 284.172172 52.498631 \nL 285.990391 55.104643 \nL 287.626205 57.830608 \nL 289.077361 60.675719 \nL 290.342259 63.638949 \nL 291.419979 66.719023 \nL 292.310235 69.914399 \nL 293.013357 73.223298 \nL 293.530314 76.643639 \nL 293.862641 80.173053 \nL 294.01246 83.808861 \nL 293.982436 87.548069 \nL 293.696855 92.362401 \nL 293.142465 97.325878 \nL 292.327568 102.430465 \nL 291.261396 107.667272 \nL 289.954045 113.026557 \nL 288.416325 118.497732 \nL 286.283095 125.194675 \nL 283.855246 132.01488 \nL 281.154123 138.935305 \nL 278.201503 145.931289 \nL 274.468177 154.153733 \nL 270.456988 162.399255 \nL 266.201824 170.621445 \nL 261.735409 178.77186 \nL 257.088912 186.800425 \nL 252.291627 194.655858 \nL 247.3707 202.286183 \nL 242.350998 209.639219 \nL 237.254969 216.663217 \nL 232.841429 222.383371 \nL 228.397749 227.793408 \nL 223.933868 232.863448 \nL 219.458544 237.565094 \nL 215.725917 241.182415 \nL 211.994573 244.511 \nL 208.26798 247.537567 \nL 204.549228 250.250062 \nL 200.841085 252.637681 \nL 197.883905 254.307509 \nL 194.936316 255.759209 \nL 191.999454 256.989265 \nL 189.074414 257.994765 \nL 186.162277 258.773475 \nL 183.264125 259.323794 \nL 180.381075 259.644826 \nL 177.514295 259.736351 \nL 174.665014 259.598802 \nL 171.834555 259.23334 \nL 169.024359 258.641736 \nL 166.235999 257.826495 \nL 163.471174 256.790718 \nL 160.731772 255.538168 \nL 158.019856 254.073228 \nL 155.337673 252.400876 \nL 152.687693 250.52663 \nL 149.424606 247.909229 \nL 146.221786 244.998894 \nL 143.085548 241.809744 \nL 140.022811 238.356928 \nL 137.041087 234.656504 \nL 134.148492 230.725306 \nL 131.353724 226.580877 \nL 128.666064 222.241244 \nL 126.095307 217.724888 \nL 123.65177 213.050567 \nL 121.346214 208.237196 \nL 119.18978 203.303722 \nL 117.193952 198.269022 \nL 115.370451 193.151767 \nL 113.731167 187.970353 \nL 112.288071 182.74275 \nL 111.053112 177.486453 \nL 110.038099 172.218373 \nL 109.254616 166.954764 \nL 108.713912 161.711168 \nL 108.426759 156.502344 \nL 108.403309 151.342226 \nL 108.580826 147.258011 \nL 108.937689 143.21963 \nL 109.478004 139.232986 \nL 110.205463 135.303611 \nL 111.123325 131.436652 \nL 112.234356 127.636877 \nL 113.540821 123.908683 \nL 115.044435 120.256093 \nL 116.74634 116.682766 \nL 118.647098 113.192005 \nL 120.746616 109.786786 \nL 123.044192 106.469726 \nL 125.538447 103.243155 \nL 128.227348 100.109092 \nL 131.108165 97.069285 \nL 134.177488 94.125215 \nL 137.431205 91.27812 \nL 140.864514 88.529024 \nL 144.471934 85.878759 \nL 149.216562 82.705877 \nL 154.209989 79.68937 \nL 159.437078 76.829886 \nL 164.88117 74.12785 \nL 170.524105 71.583492 \nL 176.34637 69.196989 \nL 182.32715 66.968438 \nL 188.444434 64.898008 \nL 195.932827 62.622522 \nL 203.542914 60.575648 \nL 211.231471 58.758362 \nL 218.954027 57.172045 \nL 226.665245 55.818565 \nL 234.319316 54.700304 \nL 241.870366 53.82015 \nL 249.272869 53.181504 \nL 256.482051 52.78819 \nL 263.45431 52.644424 \nL 270.147614 52.754741 \nL 275.483293 53.044123 \nL 280.575409 53.51597 \nL 285.403238 54.173011 \nL 289.947459 55.01791 \nL 294.190258 56.053164 \nL 298.115438 57.281069 \nL 301.017099 58.4035 \nL 303.699585 59.651437 \nL 306.157059 61.025613 \nL 308.384455 62.526578 \nL 310.377499 64.154686 \nL 312.132713 65.910078 \nL 313.647429 67.792685 \nL 314.919753 69.802143 \nL 315.948623 71.937849 \nL 316.733753 74.1989 \nL 317.275634 76.584119 \nL 317.575524 79.092005 \nL 317.635402 81.720755 \nL 317.457976 84.468243 \nL 317.046632 87.331991 \nL 316.405404 90.3092 \nL 315.538948 93.39673 \nL 314.147177 97.405931 \nL 312.423114 101.574474 \nL 310.37934 105.893973 \nL 308.029478 110.355197 \nL 305.388056 114.94812 \nL 301.85504 120.618208 \nL 297.95175 126.442233 \nL 293.706607 132.398579 \nL 288.360564 139.484142 \nL 282.634972 146.67975 \nL 276.575819 153.944592 \nL 270.228117 161.236063 \nL 262.676012 169.545209 \nL 254.865469 177.764096 \nL 247.86458 184.827719 \nL 240.745509 191.723682 \nL 233.540882 198.406198 \nL 226.280257 204.830276 \nL 218.990126 210.952157 \nL 212.735839 215.927067 \nL 206.490287 220.623909 \nL 200.265128 225.018953 \nL 194.070684 229.090122 \nL 188.938726 232.220701 \nL 183.839178 235.10166 \nL 178.776318 237.723409 \nL 173.754066 240.077535 \nL 168.776051 242.156786 \nL 163.845674 243.955156 \nL 158.966199 245.467934 \nL 154.140822 246.691721 \nL 149.372761 247.624469 \nL 145.601785 248.160628 \nL 141.871335 248.510353 \nL 138.183246 248.674487 \nL 134.539457 248.654428 \nL 130.942042 248.452135 \nL 127.393214 248.070103 \nL 123.895333 247.511336 \nL 120.450945 246.779376 \nL 116.224902 245.627056 \nL 112.092569 244.21936 \nL 108.060245 242.566279 \nL 104.134825 240.678828 \nL 100.323705 238.568972 \nL 96.634925 236.249472 \nL 93.077024 233.733878 \nL 89.659127 231.03634 \nL 86.390895 228.171578 \nL 83.282424 225.154731 \nL 80.344325 222.001242 \nL 77.587584 218.726792 \nL 75.023521 215.347153 \nL 72.663764 211.878087 \nL 70.5201 208.335261 \nL 68.604479 204.734111 \nL 66.928882 201.089779 \nL 65.505212 197.416994 \nL 64.345211 193.730004 \nL 63.460358 190.042487 \nL 62.958071 187.100886 \nL 62.644495 184.173663 \nL 62.524843 181.266865 \nL 62.604134 178.386216 \nL 62.887034 175.537098 \nL 63.377899 172.724545 \nL 64.08073 169.953233 \nL 64.999106 167.227469 \nL 66.136206 164.551187 \nL 67.49474 161.927948 \nL 69.076925 159.360944 \nL 70.884476 156.852993 \nL 72.918594 154.406549 \nL 75.179943 152.023708 \nL 77.668556 149.70622 \nL 80.383965 147.455498 \nL 83.325026 145.272636 \nL 86.490036 143.158418 \nL 90.757616 140.612914 \nL 95.365528 138.175821 \nL 100.306338 135.846945 \nL 105.571095 133.625569 \nL 111.149336 131.510536 \nL 117.029149 129.500322 \nL 124.464083 127.22385 \nL 132.288215 125.09218 \nL 140.473018 123.101563 \nL 148.987348 121.248236 \nL 159.292278 119.254732 \nL 169.942713 117.438053 \nL 180.877743 115.794044 \nL 193.640998 114.123023 \nL 206.59216 112.672062 \nL 219.627812 111.442382 \nL 232.642265 110.438397 \nL 245.528776 109.667803 \nL 258.180824 109.141444 \nL 270.493398 108.873064 \nL 280.907999 108.862556 \nL 290.918504 109.074051 \nL 300.462098 109.52042 \nL 308.225798 110.100012 \nL 315.568321 110.870261 \nL 322.457566 111.839265 \nL 327.831193 112.804156 \nL 332.854417 113.916501 \nL 337.513516 115.179983 \nL 341.796417 116.597805 \nL 344.944837 117.844964 \nL 347.841262 119.193627 \nL 350.481895 120.644548 \nL 352.86365 122.19816 \nL 354.984183 123.854563 \nL 356.841882 125.613504 \nL 358.435832 127.474355 \nL 359.765885 129.436101 \nL 360.832554 131.497323 \nL 361.637052 133.656199 \nL 362.181289 135.910475 \nL 362.467802 138.257479 \nL 362.499747 140.694112 \nL 362.280898 143.216836 \nL 361.815575 145.821693 \nL 361.108617 148.504295 \nL 360.165361 151.259839 \nL 358.991605 154.083112 \nL 357.209734 157.698865 \nL 355.090344 161.399857 \nL 352.647122 165.173414 \nL 349.894394 169.006031 \nL 346.847001 172.883445 \nL 343.520161 176.79071 \nL 339.929332 180.712278 \nL 335.293843 185.414389 \nL 330.327638 190.085398 \nL 325.057393 194.696139 \nL 319.509302 199.217078 \nL 313.708838 203.618578 \nL 307.680578 207.871176 \nL 301.448058 211.945869 \nL 296.114425 215.185122 \nL 290.666783 218.265346 \nL 285.116805 221.171319 \nL 279.475519 223.888512 \nL 273.753341 226.403207 \nL 267.960091 228.7026 \nL 262.104992 230.774899 \nL 256.196724 232.609392 \nL 250.243471 234.196515 \nL 244.252956 235.527979 \nL 238.232511 236.59678 \nL 232.18914 237.397276 \nL 226.129582 237.925216 \nL 220.060393 238.177775 \nL 213.988017 238.153599 \nL 207.918863 237.852775 \nL 201.859385 237.276863 \nL 195.816158 236.428874 \nL 189.795956 235.313243 \nL 183.805815 233.935791 \nL 177.853119 232.303697 \nL 171.945646 230.425439 \nL 166.091645 228.310721 \nL 160.299859 225.970397 \nL 154.579595 223.416403 \nL 148.940745 220.661679 \nL 143.393814 217.720053 \nL 137.949933 214.606146 \nL 132.620851 211.335282 \nL 126.394968 207.225498 \nL 120.374775 202.941005 \nL 114.583949 198.510879 \nL 109.047223 193.96463 \nL 103.790195 189.331914 \nL 98.839174 184.642261 \nL 94.220939 179.924811 \nL 89.962528 175.208046 \nL 86.708165 171.297865 \nL 83.737857 167.422717 \nL 81.066764 163.59735 \nL 78.709603 159.835805 \nL 76.680584 156.151342 \nL 74.993176 152.556377 \nL 73.897786 149.752614 \nL 73.035251 147.018979 \nL 72.411208 144.36053 \nL 72.030826 141.781915 \nL 71.89878 139.28736 \nL 72.019186 136.880662 \nL 72.395578 134.565195 \nL 73.030917 132.343898 \nL 73.92749 130.219284 \nL 75.086954 128.193443 \nL 76.51027 126.268041 \nL 78.197712 124.444347 \nL 80.148822 122.723229 \nL 82.362436 121.105172 \nL 84.836654 119.590293 \nL 87.568847 118.178364 \nL 90.555643 116.868836 \nL 93.792958 115.660839 \nL 98.184513 114.291859 \nL 102.948995 113.07692 \nL 108.073794 112.01268 \nL 113.544663 111.095318 \nL 119.345836 110.32065 \nL 126.718858 109.573059 \nL 134.510227 109.016338 \nL 142.68498 108.642135 \nL 152.656874 108.42511 \nL 163.037054 108.432256 \nL 173.759697 108.651416 \nL 186.345791 109.147378 \nL 199.18518 109.891634 \nL 212.17139 110.872753 \nL 225.197511 112.082419 \nL 238.157481 113.515575 \nL 250.947331 115.17037 \nL 261.919643 116.80098 \nL 272.619825 118.604635 \nL 282.986291 120.585158 \nL 291.562178 122.427194 \nL 299.816126 124.406219 \nL 307.716434 126.525909 \nL 315.234004 128.789956 \nL 321.187186 130.789473 \nL 326.842478 132.893504 \nL 332.187624 135.103613 \nL 337.211785 137.42102 \nL 341.905642 139.846513 \nL 346.261398 142.380384 \nL 350.27273 145.022354 \nL 353.230576 147.213169 \nL 355.963169 149.471807 \nL 358.469355 151.797176 \nL 360.748632 154.187865 \nL 362.800987 156.642129 \nL 364.627049 159.157875 \nL 366.227996 161.732654 \nL 367.605498 164.363656 \nL 368.761772 167.047697 \nL 369.699494 169.781223 \nL 370.421796 172.560307 \nL 370.932269 175.380651 \nL 371.234869 178.237593 \nL 371.333918 181.126106 \nL 371.234092 184.040815 \nL 370.940364 186.976007 \nL 370.457926 189.925644 \nL 369.597906 193.6233 \nL 368.462716 197.320567 \nL 367.063788 201.003767 \nL 365.412876 204.658668 \nL 363.52186 208.270551 \nL 361.402699 211.824274 \nL 359.067307 215.304401 \nL 356.527506 218.69527 \nL 353.794901 221.981113 \nL 350.880811 225.14615 \nL 347.796236 228.174696 \nL 344.551763 231.051289 \nL 341.157534 233.760755 \nL 337.623175 236.288376 \nL 333.95781 238.619964 \nL 330.170016 240.741944 \nL 326.267782 242.641518 \nL 322.258554 244.306688 \nL 318.149191 245.726409 \nL 313.946027 246.890649 \nL 310.519886 247.632041 \nL 307.040168 248.200116 \nL 303.509422 248.59134 \nL 299.930021 248.802648 \nL 296.304159 248.831545 \nL 292.633901 248.676046 \nL 288.921167 248.334733 \nL 285.167793 247.806722 \nL 281.375505 247.091712 \nL 276.582976 245.935433 \nL 271.735447 244.489127 \nL 266.836066 242.755891 \nL 261.888029 240.740137 \nL 256.894662 238.44755 \nL 251.859482 235.885108 \nL 246.786274 233.060977 \nL 241.679183 229.984463 \nL 236.542756 226.665946 \nL 230.347459 222.3804 \nL 224.126973 217.784267 \nL 217.892343 212.900709 \nL 211.656023 207.754394 \nL 204.396899 201.452952 \nL 197.179469 194.872246 \nL 190.031701 188.056768 \nL 182.984641 181.052003 \nL 175.097999 172.87379 \nL 167.442918 164.577145 \nL 160.07926 156.230041 \nL 153.925048 148.937204 \nL 148.087105 141.699722 \nL 142.611091 134.559002 \nL 137.543214 127.554449 \nL 133.559128 121.687133 \nL 129.937342 115.969075 \nL 126.705612 110.420712 \nL 124.329693 105.940378 \nL 122.25773 101.601108 \nL 120.503425 97.412161 \nL 119.079457 93.38199 \nL 118.185903 90.277319 \nL 117.516435 87.282669 \nL 117.075798 84.401214 \nL 116.868096 81.635787 \nL 116.896794 78.988892 \nL 117.164682 76.462688 \nL 117.673818 74.059023 \nL 118.425562 71.779409 \nL 119.420497 69.625079 \nL 120.658429 67.596962 \nL 122.13837 65.695688 \nL 123.858557 63.921645 \nL 125.816403 62.274948 \nL 128.008538 60.755483 \nL 130.430785 59.36294 \nL 133.078182 58.096779 \nL 135.944993 56.95629 \nL 139.02472 55.940607 \nL 143.162719 54.844964 \nL 147.606365 53.940563 \nL 152.338324 53.22495 \nL 157.339738 52.695531 \nL 162.590311 52.349596 \nL 168.068435 52.184426 \nL 174.91046 52.221001 \nL 182.00613 52.509382 \nL 189.31248 53.045266 \nL 196.785228 53.824676 \nL 204.379164 54.844114 \nL 212.048554 56.100472 \nL 219.74757 57.5912 \nL 227.430687 59.314242 \nL 235.05309 61.26805 \nL 242.571056 63.451515 \nL 248.725709 65.445962 \nL 254.754946 67.599106 \nL 260.636268 69.910777 \nL 266.348294 72.380861 \nL 271.870888 75.009226 \nL 277.185255 77.795676 \nL 282.274033 80.739866 \nL 287.121345 83.841273 \nL 291.712918 87.099105 \nL 295.193471 89.817241 \nL 298.496483 92.634005 \nL 301.616925 95.548448 \nL 304.550446 98.559393 \nL 307.29341 101.665441 \nL 309.842855 104.864944 \nL 312.196501 108.155977 \nL 314.352764 111.536329 \nL 316.3107 115.003469 \nL 318.070037 118.554544 \nL 319.631115 122.186371 \nL 320.994885 125.89541 \nL 322.162844 129.677761 \nL 323.137096 133.529166 \nL 323.920236 137.444975 \nL 324.515352 141.420171 \nL 324.925999 145.449356 \nL 325.156156 149.526752 \nL 325.196711 154.681882 \nL 324.971333 159.889871 \nL 324.490038 165.137016 \nL 323.763437 170.408773 \nL 322.802665 175.68981 \nL 321.619213 180.964047 \nL 320.224847 186.214734 \nL 318.631481 191.424523 \nL 316.851084 196.57554 \nL 314.89556 201.649498 \nL 312.776702 206.627765 \nL 310.034733 212.448814 \nL 307.093534 218.072139 \nL 304.503769 222.583593 \nL 301.798805 226.916256 \nL 298.988372 231.051679 \nL 296.081668 234.971816 \nL 293.087327 238.659213 \nL 290.013368 242.097053 \nL 286.86724 245.269342 \nL 283.655782 248.161017 \nL 280.385235 250.758041 \nL 277.730081 252.614824 \nL 275.043393 254.268747 \nL 272.327601 255.714328 \nL 269.584935 256.946669 \nL 266.817423 257.961475 \nL 264.02691 258.755046 \nL 261.215097 259.324334 \nL 258.383523 259.666957 \nL 255.533616 259.781179 \nL 252.666682 259.665956 \nL 249.783946 259.320907 \nL 246.886572 258.746367 \nL 243.975667 257.943321 \nL 241.052322 256.913442 \nL 238.117619 255.659041 \nL 235.172667 254.18312 \nL 232.21861 252.489311 \nL 228.515086 250.072104 \nL 224.801784 247.330651 \nL 221.081521 244.275878 \nL 217.357445 240.920008 \nL 213.633085 237.276429 \nL 209.912409 233.359631 \nL 205.458767 228.320648 \nL 201.025571 222.938844 \nL 196.622704 217.24403 \nL 192.261299 211.267208 \nL 187.242046 203.980413 \nL 182.318174 196.404888 \nL 177.514078 188.592829 \nL 172.856476 180.596355 \nL 168.374242 172.466998 \nL 164.098167 164.255178 \nL 160.060658 156.009761 \nL 156.295358 147.777651 \nL 153.310718 140.766024 \nL 150.573243 133.823558 \nL 148.104701 126.975313 \nL 145.926497 120.244738 \nL 144.059394 113.653606 \nL 142.755428 108.282022 \nL 141.69208 103.031886 \nL 140.879452 97.913015 \nL 140.326783 92.934368 \nL 140.04238 88.104051 \nL 140.033502 83.429349 \nL 140.22889 79.806001 \nL 140.60706 76.289344 \nL 141.170013 72.882013 \nL 141.919156 69.586326 \nL 142.855317 66.404322 \nL 143.978714 63.337736 \nL 145.288912 60.388073 \nL 146.784848 57.556573 \nL 148.464778 54.844229 \nL 150.326312 52.251819 \nL 152.366382 49.779928 \nL 154.581242 47.428963 \nL 156.966496 45.199138 \nL 159.517067 43.090548 \nL 162.227245 41.103133 \nL 165.09069 39.236723 \nL 168.874854 37.073511 \nL 172.872666 35.098334 \nL 177.067861 33.310414 \nL 181.442888 31.7089 \nL 185.979023 30.292889 \nL 190.656481 29.061513 \nL 195.454518 28.013958 \nL 200.351589 27.149505 \nL 205.32547 26.467553 \nL 210.3534 25.96766 \nL 216.425659 25.607732 \nL 222.502007 25.509459 \nL 228.541942 25.673088 \nL 233.518375 26.009991 \nL 238.418647 26.529801 \nL 243.220299 27.233255 \nL 247.901488 28.121228 \nL 252.441135 29.194714 \nL 256.819061 30.454773 \nL 261.016108 31.902506 \nL 265.014262 33.539018 \nL 268.796758 35.365355 \nL 271.657075 36.963752 \nL 274.362245 38.684669 \nL 276.905642 40.52846 \nL 279.281286 42.495366 \nL 281.483826 44.585517 \nL 283.508592 46.798933 \nL 285.351582 49.135454 \nL 287.009462 51.59477 \nL 288.479604 54.176385 \nL 289.760035 56.879599 \nL 290.849486 59.703509 \nL 291.747322 62.646946 \nL 292.453594 65.708537 \nL 292.968967 68.886619 \nL 293.294731 72.179267 \nL 293.43278 75.58427 \nL 293.385565 79.099121 \nL 293.070645 83.642845 \nL 292.477971 88.347604 \nL 291.61567 93.206441 \nL 290.492902 98.211563 \nL 289.119774 103.354393 \nL 287.507193 108.625504 \nL 285.272393 115.105718 \nL 282.730597 121.736663 \nL 279.903785 128.497424 \nL 276.8145 135.365475 \nL 272.909042 143.481578 \nL 268.713613 151.670081 \nL 264.263902 159.887685 \nL 259.59455 168.088841 \nL 254.031692 177.380473 \nL 248.271811 186.515254 \nL 243.104111 194.320466 \nL 237.844641 201.89712 \nL 232.517074 209.194227 \nL 227.142517 216.161348 \nL 222.512501 221.833092 \nL 217.871905 227.196038 \nL 213.229728 232.221294 \nL 208.593796 236.881468 \nL 204.7402 240.467519 \nL 200.899063 243.768422 \nL 197.073397 246.771512 \nL 193.265873 249.465277 \nL 189.478878 251.839488 \nL 185.714593 253.885272 \nL 182.720884 255.280374 \nL 179.744007 256.457349 \nL 176.784952 257.41369 \nL 173.844729 258.147519 \nL 170.924362 258.657641 \nL 168.024948 258.943489 \nL 165.147657 259.00517 \nL 162.293742 258.843454 \nL 159.464599 258.459766 \nL 156.66174 257.856189 \nL 153.886843 257.03544 \nL 151.141747 256.000858 \nL 148.428482 254.756411 \nL 145.749277 253.30665 \nL 143.10658 251.656695 \nL 140.50306 249.812212 \nL 137.308192 247.242473 \nL 134.185268 244.391544 \nL 131.141083 241.273603 \nL 128.183031 237.903767 \nL 125.319129 234.297994 \nL 122.557946 230.473004 \nL 119.908686 226.446123 \nL 117.381039 222.235103 \nL 114.985221 217.858098 \nL 112.731933 213.333462 \nL 110.632243 208.679664 \nL 108.697562 203.915164 \nL 106.939598 199.058293 \nL 105.370173 194.127148 \nL 104.001258 189.139488 \nL 102.844778 184.112631 \nL 101.912545 179.063365 \nL 101.216185 174.007883 \nL 100.76695 168.961691 \nL 100.575689 163.939561 \nL 100.652637 158.95547 \nL 100.913768 155.004442 \nL 101.357229 151.092508 \nL 101.987206 147.225629 \nL 102.807459 143.409393 \nL 103.82134 139.649014 \nL 105.031695 135.949328 \nL 106.44089 132.314798 \nL 108.050755 128.74952 \nL 109.862537 125.257219 \nL 111.876921 121.841271 \nL 114.093942 118.504703 \nL 116.51305 115.250214 \nL 119.133012 112.080179 \nL 121.951923 108.996682 \nL 124.967228 106.00151 \nL 128.175651 103.096188 \nL 131.573247 100.281997 \nL 135.15537 97.560009 \nL 138.916679 94.931064 \nL 143.861074 91.776756 \nL 149.062746 88.769876 \nL 154.506849 85.911119 \nL 160.176977 83.200917 \nL 166.055217 80.639538 \nL 172.122251 78.227172 \nL 178.35743 75.963955 \nL 184.738884 73.850069 \nL 192.557267 71.510874 \nL 200.511545 69.38777 \nL 208.558398 67.481801 \nL 216.653122 65.794545 \nL 224.749999 64.328021 \nL 232.802674 63.084858 \nL 240.764561 62.068236 \nL 248.589246 61.281874 \nL 256.230893 60.730032 \nL 263.644656 60.417395 \nL 270.787074 60.348992 \nL 277.616494 60.530138 \nL 283.040017 60.875613 \nL 288.197167 61.401277 \nL 293.067758 62.110177 \nL 297.633091 63.005226 \nL 301.876055 64.089144 \nL 305.027888 65.093917 \nL 307.956418 66.222246 \nL 310.655305 67.475053 \nL 313.119005 68.853108 \nL 315.34276 70.35696 \nL 317.322603 71.986919 \nL 319.055356 73.743082 \nL 320.538698 75.625281 \nL 321.771097 77.633039 \nL 322.751831 79.765619 \nL 323.48096 82.021963 \nL 323.959362 84.400691 \nL 324.188616 86.900093 \nL 324.171077 89.518127 \nL 323.909798 92.252394 \nL 323.408528 95.100144 \nL 322.671648 98.058273 \nL 321.704142 101.123318 \nL 320.178987 105.099114 \nL 318.314246 109.227718 \nL 316.123065 113.500015 \nL 313.619634 117.906052 \nL 310.818994 122.435051 \nL 307.088132 128.015824 \nL 302.980267 133.735562 \nL 298.524496 139.571392 \nL 292.925782 146.494212 \nL 286.940758 153.501534 \nL 280.615986 160.550942 \nL 273.996949 167.598465 \nL 267.127472 174.598967 \nL 260.049259 181.506557 \nL 252.801557 188.275028 \nL 245.420858 194.858329 \nL 237.940713 201.211015 \nL 231.473226 206.43899 \nL 224.972595 211.437952 \nL 218.454653 216.182009 \nL 211.933686 220.646571 \nL 205.422529 224.808605 \nL 200.012386 228.030461 \nL 194.623058 231.016131 \nL 189.260029 233.755344 \nL 183.92832 236.238916 \nL 178.632578 238.458832 \nL 173.377123 240.408283 \nL 168.166049 242.081715 \nL 163.003285 243.474878 \nL 157.89267 244.58484 \nL 152.838044 245.410026 \nL 147.843296 245.950249 \nL 142.912479 246.206678 \nL 139.016677 246.209132 \nL 135.166792 246.033432 \nL 130.42269 245.567084 \nL 125.759172 244.832184 \nL 121.181702 243.835894 \nL 116.696216 242.586585 \nL 112.30912 241.093706 \nL 108.027339 239.367776 \nL 103.85835 237.420292 \nL 99.810168 235.263589 \nL 95.89139 232.910835 \nL 92.111096 230.375846 \nL 88.478957 227.67304 \nL 85.005139 224.817302 \nL 81.700217 221.823878 \nL 78.575259 218.708284 \nL 75.641664 215.486185 \nL 72.911162 212.173282 \nL 70.395681 208.785225 \nL 68.107337 205.337484 \nL 66.05831 201.845261 \nL 64.260751 198.323392 \nL 62.72669 194.786274 \nL 61.46796 191.247761 \nL 60.496052 187.721081 \nL 59.932516 184.916716 \nL 59.565076 182.134058 \nL 59.398901 179.37887 \nL 59.438884 176.656571 \nL 59.689587 173.972233 \nL 60.15523 171.330561 \nL 60.839619 168.735886 \nL 61.746184 166.192166 \nL 62.877865 163.702974 \nL 64.237164 161.271503 \nL 65.826072 158.900562 \nL 67.646063 156.592586 \nL 69.698075 154.349638 \nL 71.98245 152.173417 \nL 74.499007 150.065272 \nL 77.246944 148.026215 \nL 80.224867 146.056932 \nL 83.430786 144.157805 \nL 87.754745 141.882668 \nL 92.424364 139.716878 \nL 97.431706 137.659456 \nL 102.767316 135.708905 \nL 108.42031 133.863301 \nL 115.605387 131.783874 \nL 123.205719 129.847824 \nL 131.194597 128.050351 \nL 139.542648 126.386487 \nL 149.69346 124.607642 \nL 160.235356 122.99661 \nL 171.110143 121.546861 \nL 183.867002 120.080684 \nL 196.881828 118.812605 \nL 210.054484 117.74001 \nL 223.282101 116.863586 \nL 238.098771 116.117419 \nL 251.095839 115.676011 \nL 263.821458 115.455138 \nL 276.173798 115.469115 \nL 286.598341 115.687141 \nL 296.59843 116.110232 \nL 306.114166 116.751542 \nL 313.842405 117.485119 \nL 321.140811 118.397307 \nL 327.979292 119.496222 \nL 333.306922 120.560132 \nL 338.281998 121.76302 \nL 342.891899 123.108475 \nL 347.125579 124.599541 \nL 350.235274 125.898906 \nL 353.094116 127.293988 \nL 355.698757 128.785422 \nL 358.046543 130.373521 \nL 360.135542 132.058254 \nL 361.964532 133.839216 \nL 363.53295 135.715637 \nL 364.840936 137.68634 \nL 365.8893 139.749742 \nL 366.679518 141.903851 \nL 367.21367 144.146244 \nL 367.494489 146.474075 \nL 367.525269 148.884066 \nL 367.309838 151.372508 \nL 366.852588 153.93527 \nL 366.158377 156.567798 \nL 365.232535 159.265124 \nL 364.0808 162.021881 \nL 362.332829 165.542595 \nL 360.254143 169.135087 \nL 357.858153 172.786443 \nL 355.158796 176.482962 \nL 352.170469 180.210208 \nL 348.907885 183.953118 \nL 345.385977 187.696063 \nL 341.619746 191.42296 \nL 336.798805 195.850863 \nL 331.673183 200.203023 \nL 326.268 204.450233 \nL 320.607654 208.563285 \nL 315.712783 211.867447 \nL 310.670169 215.041861 \nL 305.492341 218.070438 \nL 300.191283 220.937583 \nL 294.778387 223.628301 \nL 289.264465 226.128309 \nL 283.659698 228.424129 \nL 277.973718 230.503202 \nL 272.215587 232.35399 \nL 266.393833 233.966033 \nL 260.516513 235.330025 \nL 254.591247 236.437933 \nL 248.625259 237.283 \nL 242.625477 237.859833 \nL 236.598571 238.164429 \nL 230.551029 238.19422 \nL 224.489245 237.948081 \nL 218.419584 237.42634 \nL 212.348463 236.630777 \nL 206.282426 235.564625 \nL 200.228227 234.232514 \nL 194.192897 232.640476 \nL 188.183821 230.79586 \nL 182.20879 228.707303 \nL 176.276074 226.384668 \nL 170.394475 223.838963 \nL 164.573356 221.082251 \nL 158.822697 218.127598 \nL 153.153113 214.988939 \nL 147.575866 211.681 \nL 141.02188 207.50977 \nL 134.639895 203.144725 \nL 128.453063 198.614523 \nL 122.485732 193.948468 \nL 116.763353 189.176259 \nL 111.312344 184.327702 \nL 106.159831 179.432441 \nL 101.333493 174.519703 \nL 96.861298 169.618048 \nL 92.771154 164.755122 \nL 89.674506 160.751437 \nL 86.878033 156.807725 \nL 84.396943 152.93791 \nL 82.245905 149.155123 \nL 80.4388 145.47164 \nL 79.249563 142.604029 \nL 78.295091 139.81266 \nL 77.581158 137.102517 \nL 77.11308 134.478175 \nL 76.895626 131.94379 \nL 76.933013 129.503096 \nL 77.228845 127.159393 \nL 77.786116 124.915564 \nL 78.607135 122.774059 \nL 79.693539 120.736916 \nL 81.046264 118.805759 \nL 82.665505 116.981809 \nL 84.550736 115.265896 \nL 86.700664 113.658468 \nL 89.113256 112.159633 \nL 91.785709 110.769127 \nL 94.714467 109.486392 \nL 97.895221 108.310551 \nL 102.217786 106.989306 \nL 106.914719 105.83049 \nL 111.972849 104.830783 \nL 117.37738 103.986411 \nL 123.11189 103.293221 \nL 130.403585 102.654698 \nL 138.111083 102.219474 \nL 146.198227 101.979331 \nL 156.0616 101.934777 \nL 166.324712 102.131886 \nL 176.919977 102.558719 \nL 187.777453 103.204379 \nL 200.415228 104.198056 \nL 213.193805 105.453383 \nL 226.004853 106.961521 \nL 237.156885 108.483873 \nL 248.181478 110.193264 \nL 259.010504 112.089309 \nL 269.578555 114.173111 \nL 279.823488 116.446988 \nL 288.303373 118.549793 \nL 296.468722 120.797105 \nL 304.287806 123.191534 \nL 311.731584 125.735671 \nL 317.629056 127.971879 \nL 323.234075 130.314885 \nL 328.534516 132.765586 \nL 333.519791 135.324528 \nL 338.180812 137.991827 \nL 342.510042 140.7671 \nL 345.730424 143.064438 \nL 348.73222 145.429505 \nL 351.513681 147.861242 \nL 354.073662 150.358297 \nL 356.411638 152.919002 \nL 358.527655 155.541364 \nL 360.422341 158.22305 \nL 362.096886 160.961379 \nL 363.552971 163.753313 \nL 364.792801 166.595453 \nL 365.819087 169.484034 \nL 366.634973 172.414928 \nL 367.244003 175.383639 \nL 367.650146 178.385321 \nL 367.85771 181.414764 \nL 367.871339 184.466426 \nL 367.695994 187.534431 \nL 367.336844 190.612585 \nL 366.637717 194.46463 \nL 365.67084 198.309077 \nL 364.447599 202.132003 \nL 362.979556 205.918949 \nL 361.278439 209.654987 \nL 359.356026 213.324792 \nL 357.224048 216.912765 \nL 354.89411 220.403111 \nL 352.377576 223.779939 \nL 349.685538 227.027388 \nL 346.828742 230.129699 \nL 343.81749 233.071356 \nL 340.66165 235.837198 \nL 337.370562 238.412499 \nL 333.953043 240.783106 \nL 330.417346 242.935523 \nL 326.771155 244.857015 \nL 323.021549 246.535725 \nL 319.175077 247.960734 \nL 316.032179 248.911407 \nL 312.833909 249.688824 \nL 309.582856 250.28893 \nL 306.281421 250.708147 \nL 302.931794 250.94342 \nL 299.53601 250.992242 \nL 296.095937 250.852621 \nL 292.613309 250.523132 \nL 289.089721 250.002932 \nL 285.526686 249.291702 \nL 281.019596 248.134503 \nL 276.455767 246.681041 \nL 271.837794 244.934451 \nL 267.16829 242.899161 \nL 262.449925 240.580936 \nL 257.685546 237.98679 \nL 252.878211 235.124915 \nL 248.031281 232.004663 \nL 242.167998 227.934083 \nL 236.260421 223.526428 \nL 230.316942 218.803493 \nL 224.347188 213.78874 \nL 217.364006 207.602694 \nL 210.380072 201.095101 \nL 203.418298 194.309432 \nL 195.522553 186.27134 \nL 187.733431 177.996668 \nL 180.099796 169.554067 \nL 172.675426 161.011861 \nL 165.518578 152.437252 \nL 158.691325 143.895579 \nL 153.038903 136.498079 \nL 147.733391 129.214048 \nL 142.820147 122.081496 \nL 138.95529 116.115535 \nL 135.439848 110.308057 \nL 132.301015 104.678542 \nL 129.991817 100.136221 \nL 127.976507 95.73953 \nL 126.268468 91.497227 \nL 124.880064 87.417282 \nL 123.822507 83.506873 \nL 123.221378 80.504916 \nL 122.842807 77.618453 \nL 122.69061 74.850051 \nL 122.767963 72.201974 \nL 123.077366 69.676151 \nL 123.620608 67.27423 \nL 124.398764 64.997574 \nL 125.412135 62.84722 \nL 126.660261 60.823983 \nL 128.141916 58.928385 \nL 129.855095 57.160727 \nL 131.796996 55.521071 \nL 133.964018 54.009258 \nL 136.351793 52.624951 \nL 138.955176 51.367618 \nL 141.768279 50.236579 \nL 144.784447 49.231035 \nL 148.828959 48.149128 \nL 153.163363 47.259773 \nL 157.770182 46.560747 \nL 162.630477 46.049695 \nL 167.723925 45.724208 \nL 173.028974 45.581842 \nL 179.64238 45.649368 \nL 186.486892 45.97319 \nL 193.519976 46.54958 \nL 200.69791 47.3752 \nL 207.976175 48.4471 \nL 215.309871 49.76281 \nL 222.65413 51.320284 \nL 229.964517 53.117963 \nL 237.197434 55.154723 \nL 243.135056 57.034098 \nL 248.965704 59.078677 \nL 254.666571 61.288321 \nL 260.215874 63.662904 \nL 265.592983 66.202338 \nL 270.778516 68.9065 \nL 275.75445 71.775158 \nL 280.504218 74.807907 \nL 285.012749 78.004111 \nL 288.436768 80.678158 \nL 291.691572 83.455597 \nL 294.771682 86.335614 \nL 297.672291 89.317206 \nL 300.3893 92.399157 \nL 302.91928 95.58001 \nL 305.259491 98.858047 \nL 307.407877 102.231284 \nL 309.363041 105.697445 \nL 311.124258 109.253931 \nL 312.691419 112.897833 \nL 314.065039 116.625894 \nL 315.246226 120.434509 \nL 316.236691 124.319713 \nL 317.03864 128.277166 \nL 317.654805 132.302161 \nL 318.08841 136.389611 \nL 318.343104 140.534045 \nL 318.416107 145.785776 \nL 318.224687 151.105131 \nL 317.778401 156.478958 \nL 317.087484 161.893231 \nL 316.162705 167.33309 \nL 315.015292 172.782878 \nL 313.656781 178.226202 \nL 312.09895 183.645994 \nL 310.353688 189.02459 \nL 308.028672 195.398898 \nL 305.471183 201.655467 \nL 302.701128 207.761448 \nL 299.737829 213.683608 \nL 296.599825 219.38865 \nL 293.304724 224.843471 \nL 290.450809 229.174492 \nL 287.508331 233.290688 \nL 284.485703 237.174171 \nL 281.390792 240.807725 \nL 278.230835 244.174931 \nL 275.012482 247.260238 \nL 271.741832 250.04915 \nL 268.424396 252.528338 \nL 265.740121 254.280516 \nL 263.031418 255.821111 \nL 260.300405 257.145146 \nL 257.549026 258.248218 \nL 254.77906 259.126574 \nL 251.992131 259.777097 \nL 249.189739 260.197341 \nL 246.373272 260.385554 \nL 243.544019 260.340637 \nL 240.703205 260.062219 \nL 237.851998 259.5506 \nL 234.991538 258.806782 \nL 232.122955 257.832455 \nL 229.24739 256.629976 \nL 226.366018 255.202381 \nL 223.48007 253.553347 \nL 220.590852 251.687185 \nL 216.976875 249.056651 \nL 213.362981 246.105403 \nL 209.752505 242.845609 \nL 206.149178 239.290669 \nL 202.557169 235.455096 \nL 198.981137 231.354424 \nL 194.718322 226.106883 \nL 190.496026 220.53114 \nL 186.325479 214.658342 \nL 182.219171 208.520653 \nL 177.528087 201.069052 \nL 172.96719 193.354446 \nL 168.56269 185.429789 \nL 164.342845 177.347613 \nL 160.337749 169.159465 \nL 156.578973 160.915433 \nL 153.578017 153.841236 \nL 150.803091 146.790464 \nL 148.275387 139.790774 \nL 146.015976 132.868314 \nL 144.045571 126.047624 \nL 142.638828 120.457986 \nL 141.457852 114.967209 \nL 140.51319 109.586719 \nL 139.814732 104.327068 \nL 139.37154 99.197942 \nL 139.191776 94.208159 \nL 139.282575 89.365665 \nL 139.554105 85.602528 \nL 140.005187 81.941486 \nL 140.63781 78.385465 \nL 141.453416 74.937086 \nL 142.452845 71.598662 \nL 143.636348 68.37221 \nL 145.003553 65.259476 \nL 146.553456 62.261921 \nL 148.284391 59.380776 \nL 150.194049 56.617041 \nL 152.279447 53.971496 \nL 154.536954 51.444735 \nL 156.962271 49.037155 \nL 159.550436 46.749004 \nL 162.295858 44.58039 \nL 165.192294 42.531303 \nL 169.014721 40.137848 \nL 173.047699 37.93056 \nL 177.275177 35.90889 \nL 181.67982 34.072174 \nL 186.243089 32.419713 \nL 190.94537 30.950815 \nL 195.766082 29.664825 \nL 200.683805 28.561168 \nL 205.676416 27.639392 \nL 210.721229 26.89916 \nL 216.811367 26.250338 \nL 222.903013 25.862824 \nL 228.955617 25.737054 \nL 234.928846 25.873894 \nL 239.81722 26.189401 \nL 244.600387 26.688993 \nL 249.256485 27.37369 \nL 253.764419 28.244634 \nL 258.103993 29.303038 \nL 262.256052 30.550142 \nL 266.202579 31.987212 \nL 269.926815 33.615453 \nL 272.735773 35.056446 \nL 275.385376 36.621005 \nL 277.869027 38.309571 \nL 280.180763 40.122492 \nL 282.315279 42.059987 \nL 284.267945 44.122154 \nL 286.034816 46.308985 \nL 287.612644 48.620249 \nL 288.998847 51.055565 \nL 290.191542 53.614368 \nL 291.189548 56.295867 \nL 291.992342 59.099072 \nL 292.600081 62.022725 \nL 293.013546 65.065339 \nL 293.234173 68.225142 \nL 293.263992 71.500114 \nL 293.105609 74.887919 \nL 292.647839 79.27734 \nL 291.9083 83.833183 \nL 290.895477 88.548928 \nL 289.618922 93.417267 \nL 288.089132 98.430098 \nL 285.935104 104.623654 \nL 283.453637 110.995562 \nL 280.666751 117.527313 \nL 277.597314 124.198769 \nL 273.690422 132.129665 \nL 269.468318 140.184038 \nL 264.968385 148.322154 \nL 259.532377 157.671197 \nL 253.834083 167.008027 \nL 247.923386 176.263054 \nL 241.846633 185.364216 \nL 235.646131 194.237775 \nL 229.359817 202.809182 \nL 223.81528 210.002826 \nL 218.250231 216.859099 \nL 212.681626 223.33017 \nL 207.916766 228.535314 \nL 203.167795 233.396099 \nL 198.441411 237.886587 \nL 194.524155 241.328341 \nL 190.629415 244.483326 \nL 186.759693 247.339799 \nL 182.917209 249.887257 \nL 179.103966 252.116436 \nL 175.321808 254.019447 \nL 172.31966 255.302629 \nL 169.339442 256.370279 \nL 166.382068 257.220385 \nL 163.44849 257.851566 \nL 160.539729 258.263096 \nL 157.65687 258.454878 \nL 154.80112 258.427469 \nL 151.973811 258.182056 \nL 149.176407 257.720473 \nL 146.410519 257.04519 \nL 143.677954 256.159297 \nL 140.980702 255.066462 \nL 138.320957 253.770961 \nL 135.701122 252.277603 \nL 133.123836 250.591764 \nL 129.966463 248.222778 \nL 126.886222 245.574744 \nL 123.889862 242.661267 \nL 120.984731 239.496894 \nL 118.17878 236.097019 \nL 115.480556 232.477785 \nL 112.899194 228.655965 \nL 110.444356 224.648811 \nL 108.126205 220.473967 \nL 105.955353 216.149313 \nL 103.942833 211.692872 \nL 102.099952 207.122668 \nL 100.438338 202.456645 \nL 98.969746 197.712517 \nL 97.706031 192.907696 \nL 96.659015 188.059179 \nL 95.840397 183.183469 \nL 95.261688 178.296486 \nL 94.934026 173.413493 \nL 94.868123 168.549034 \nL 95.074087 163.716879 \nL 95.440989 159.883148 \nL 95.99244 156.084637 \nL 96.732545 152.327224 \nL 97.665018 148.616423 \nL 98.793132 144.957378 \nL 100.119697 141.354862 \nL 101.647023 137.813278 \nL 103.376872 134.336665 \nL 105.310479 130.928698 \nL 107.448459 127.592706 \nL 109.790837 124.33167 \nL 112.33703 121.148247 \nL 115.085756 118.044774 \nL 118.035118 115.023293 \nL 121.182531 112.085559 \nL 124.524727 109.233075 \nL 128.057754 106.467096 \nL 131.77697 103.788656 \nL 136.679655 100.56495 \nL 141.85299 97.480563 \nL 147.283459 94.536382 \nL 152.955947 91.733013 \nL 158.85379 89.07085 \nL 164.958838 86.550155 \nL 171.251567 84.171086 \nL 177.711123 81.933821 \nL 185.651669 79.436594 \nL 193.760428 77.144463 \nL 201.995224 75.058367 \nL 210.312213 73.179675 \nL 218.666234 71.510281 \nL 227.011172 70.052656 \nL 235.300339 68.809874 \nL 243.486866 67.785618 \nL 251.524105 66.984131 \nL 259.366039 66.410211 \nL 266.967677 66.069111 \nL 274.285458 65.966428 \nL 281.277645 66.108015 \nL 286.827154 66.41688 \nL 292.101515 66.902931 \nL 297.080537 67.569501 \nL 301.745536 68.419766 \nL 306.079425 69.456677 \nL 309.297732 70.422396 \nL 312.28718 71.510467 \nL 315.041474 72.721926 \nL 317.555093 74.057579 \nL 319.823324 75.518037 \nL 321.842213 77.103673 \nL 323.608684 78.814605 \nL 325.120427 80.650665 \nL 326.375967 82.611394 \nL 327.374618 84.696024 \nL 328.11654 86.903476 \nL 328.602626 89.232323 \nL 328.834555 91.680795 \nL 328.814729 94.246774 \nL 328.546293 96.927778 \nL 328.033064 99.720963 \nL 327.279502 102.623101 \nL 326.290695 105.630619 \nL 325.072268 108.739553 \nL 323.23579 112.761736 \nL 321.063337 116.926383 \nL 318.569065 121.2234 \nL 315.768007 125.641859 \nL 312.024072 131.087748 \nL 307.889543 136.669867 \nL 303.393686 142.365035 \nL 298.566268 148.148727 \nL 292.555158 154.973886 \nL 286.180708 161.841897 \nL 279.489205 168.708627 \nL 272.525413 175.528804 \nL 265.332126 182.256457 \nL 257.949769 188.845366 \nL 250.416075 195.249535 \nL 242.765913 201.423688 \nL 236.140173 206.499298 \nL 229.470641 211.346742 \nL 222.77403 215.9404 \nL 216.065502 220.256043 \nL 209.358765 224.27103 \nL 203.780138 227.372101 \nL 198.217858 230.238891 \nL 192.677897 232.861455 \nL 187.165767 235.230928 \nL 181.686588 237.339651 \nL 176.245161 239.181184 \nL 170.846037 240.750366 \nL 165.493602 242.043289 \nL 160.192166 243.057467 \nL 154.945995 243.791704 \nL 149.759443 244.246194 \nL 144.63696 244.42246 \nL 139.583226 244.323425 \nL 134.603164 243.953305 \nL 129.70204 243.317607 \nL 124.885472 242.423107 \nL 120.159527 241.277756 \nL 115.530703 239.890642 \nL 111.006017 238.27193 \nL 106.592979 236.432744 \nL 102.299684 234.385153 \nL 98.13472 232.142008 \nL 94.107244 229.716875 \nL 90.226906 227.123943 \nL 86.503893 224.37788 \nL 82.948851 221.493781 \nL 79.572846 218.487034 \nL 76.387348 215.373198 \nL 73.404142 212.167907 \nL 70.635248 208.886757 \nL 68.092851 205.545229 \nL 65.789267 202.158531 \nL 63.736798 198.741564 \nL 61.947655 195.308781 \nL 60.433888 191.874133 \nL 59.207206 188.450974 \nL 58.440187 185.729262 \nL 57.869756 183.029192 \nL 57.501219 180.356599 \nL 57.33964 177.716985 \nL 57.389776 175.115498 \nL 57.656006 172.556931 \nL 58.142389 170.045693 \nL 58.852526 167.585817 \nL 59.789619 165.18095 \nL 60.956389 162.83435 \nL 62.355077 160.548889 \nL 63.987398 158.327053 \nL 65.854564 156.170945 \nL 67.957192 154.082297 \nL 70.295397 152.062476 \nL 72.868641 150.1125 \nL 75.675827 148.233047 \nL 78.715297 146.424473 \nL 82.83766 144.263486 \nL 87.313468 142.212796 \nL 92.135404 140.271264 \nL 97.294663 138.437192 \nL 102.781025 136.708403 \nL 109.779884 134.769177 \nL 117.210096 132.972784 \nL 125.046125 131.313722 \nL 133.259809 129.78625 \nL 143.278781 128.162811 \nL 153.717466 126.701746 \nL 166.088901 125.220359 \nL 178.845362 123.930014 \nL 191.892553 122.822786 \nL 206.795849 121.790009 \nL 221.798923 120.980916 \nL 236.755283 120.399361 \nL 251.517825 120.055009 \nL 264.359529 119.960249 \nL 276.832822 120.078873 \nL 288.840938 120.427502 \nL 298.893736 120.93582 \nL 308.461226 121.647742 \nL 316.234176 122.430327 \nL 323.578556 123.381002 \nL 330.46507 124.507988 \nL 335.834901 125.5874 \nL 340.854545 126.798691 \nL 345.511746 128.145509 \nL 349.795791 129.630969 \nL 353.697533 131.257585 \nL 356.538562 132.661767 \nL 359.127036 134.158066 \nL 361.460518 135.746745 \nL 363.537295 137.427717 \nL 365.356349 139.200527 \nL 366.91729 141.064335 \nL 368.220416 143.017906 \nL 369.266677 145.059595 \nL 370.057626 147.187342 \nL 370.595437 149.398661 \nL 370.882876 151.690641 \nL 370.923271 154.059943 \nL 370.720486 156.502802 \nL 370.278865 159.015027 \nL 369.603269 161.592014 \nL 368.698933 164.228748 \nL 367.571529 166.919823 \nL 365.857778 170.351226 \nL 363.817348 173.84635 \nL 361.46332 177.392251 \nL 358.809366 180.975221 \nL 355.869505 184.580852 \nL 352.658098 188.194117 \nL 349.189642 191.799474 \nL 345.478738 195.380934 \nL 341.53994 198.922188 \nL 336.532792 203.095305 \nL 331.242596 207.15787 \nL 326.635062 210.438112 \nL 321.860804 213.605075 \nL 316.932639 216.642494 \nL 311.862904 219.534479 \nL 306.663416 222.265615 \nL 301.345402 224.821101 \nL 295.919512 227.186819 \nL 290.395831 229.349456 \nL 284.783866 231.296613 \nL 279.092587 233.016848 \nL 273.330466 234.499853 \nL 267.505482 235.736445 \nL 261.625192 236.71868 \nL 255.696776 237.439881 \nL 249.727101 237.894734 \nL 243.722794 238.079307 \nL 237.690305 237.991076 \nL 231.635978 237.628944 \nL 225.566133 236.993264 \nL 219.487139 236.085808 \nL 213.405496 234.909816 \nL 207.327909 233.469903 \nL 201.261358 231.772056 \nL 195.213177 229.823588 \nL 189.191119 227.6331 \nL 183.203408 225.210381 \nL 177.258795 222.566372 \nL 171.366629 219.713065 \nL 165.536855 216.663443 \nL 159.780084 213.431363 \nL 152.984228 209.332697 \nL 146.330501 205.019007 \nL 139.841041 200.518065 \nL 133.539336 195.858537 \nL 127.450118 191.069719 \nL 121.599255 186.181272 \nL 116.013588 181.222947 \nL 110.720761 176.224327 \nL 105.748978 171.214567 \nL 101.126717 166.222153 \nL 96.882495 161.274666 \nL 93.654818 157.2052 \nL 90.725294 153.199939 \nL 88.109482 149.272781 \nL 85.822431 145.43684 \nL 83.878398 141.704391 \nL 82.290839 138.086807 \nL 81.285854 135.282489 \nL 80.522848 132.563277 \nL 80.007161 129.933653 \nL 79.743629 127.397687 \nL 79.736472 124.959028 \nL 79.989336 122.620893 \nL 80.505149 120.386088 \nL 81.28622 118.256988 \nL 82.334149 116.235564 \nL 83.649784 114.323368 \nL 85.233284 112.521562 \nL 87.08402 110.830919 \nL 89.200574 109.25185 \nL 91.580831 107.784391 \nL 94.221842 106.428258 \nL 97.119913 105.182846 \nL 100.270574 104.04725 \nL 103.668645 103.020302 \nL 108.255004 101.887217 \nL 113.205373 100.918403 \nL 118.504899 100.110145 \nL 124.137096 99.458361 \nL 131.309424 98.876573 \nL 138.901044 98.505842 \nL 146.875533 98.337984 \nL 155.19412 98.364808 \nL 165.279457 98.631471 \nL 175.709762 99.140065 \nL 186.414846 99.87942 \nL 197.322819 100.839582 \nL 208.360824 102.012075 \nL 219.455782 103.390029 \nL 230.53511 104.968252 \nL 241.527423 106.743256 \nL 252.363201 108.713185 \nL 262.975428 110.877664 \nL 273.300184 113.237631 \nL 281.875397 115.417521 \nL 290.159534 117.744165 \nL 298.119514 120.219492 \nL 305.724905 122.845492 \nL 311.771842 125.150283 \nL 317.538846 127.561932 \nL 323.012973 130.081142 \nL 328.182763 132.708302 \nL 333.038256 135.443434 \nL 337.571072 138.286091 \nL 341.774339 141.23531 \nL 344.896085 143.670388 \nL 347.801473 146.17159 \nL 350.489133 148.737538 \nL 352.958263 151.36655 \nL 355.20867 154.056632 \nL 357.24073 156.805457 \nL 359.055393 159.610359 \nL 360.654111 162.468324 \nL 362.038861 165.375986 \nL 363.212148 168.329617 \nL 364.176899 171.32513 \nL 364.936486 174.35808 \nL 365.494672 177.423667 \nL 365.855583 180.516739 \nL 366.02369 183.631806 \nL 366.003796 186.763049 \nL 365.800942 189.904328 \nL 365.298106 193.835198 \nL 364.528377 197.75847 \nL 363.502892 201.660316 \nL 362.232991 205.526348 \nL 360.730258 209.341708 \nL 359.00632 213.091127 \nL 357.072794 216.759037 \nL 354.941125 220.329652 \nL 352.622631 223.787081 \nL 350.128347 227.115441 \nL 347.468951 230.298925 \nL 344.654723 233.32194 \nL 341.695482 236.169247 \nL 338.600548 238.826004 \nL 335.378748 241.277934 \nL 332.038313 243.511399 \nL 328.586927 245.51348 \nL 325.031645 247.27214 \nL 321.378983 248.776258 \nL 318.390759 249.789462 \nL 315.346796 250.628613 \nL 312.249661 251.289532 \nL 309.101716 251.768508 \nL 305.905109 252.062371 \nL 302.66182 252.168464 \nL 299.373642 252.084679 \nL 296.042234 251.809467 \nL 292.669111 251.341808 \nL 289.255667 250.681279 \nL 285.803218 249.828002 \nL 281.434674 248.491464 \nL 277.009413 246.857466 \nL 272.529689 244.929943 \nL 267.997771 242.714136 \nL 263.416042 240.216554 \nL 258.787027 237.444938 \nL 254.113513 234.408178 \nL 248.450938 230.428255 \nL 242.734865 226.100214 \nL 236.972356 221.445221 \nL 231.171612 216.486176 \nL 224.368463 210.348969 \nL 217.543679 203.872164 \nL 210.717533 197.098636 \nL 202.944521 189.051031 \nL 195.23982 180.741418 \nL 187.648322 172.238163 \nL 180.220034 163.609517 \nL 173.009743 154.922821 \nL 166.076484 146.24377 \nL 159.482818 137.635744 \nL 153.293899 129.159208 \nL 148.263021 121.895028 \nL 143.637971 114.81101 \nL 140.030329 108.907681 \nL 136.780722 103.180633 \nL 133.915368 97.647766 \nL 131.839083 93.197235 \nL 130.060384 88.901589 \nL 128.591769 84.768682 \nL 127.444607 80.805598 \nL 126.765186 77.76167 \nL 126.302574 74.833358 \nL 126.060743 72.02321 \nL 126.043038 69.333492 \nL 126.252129 66.766136 \nL 126.690005 64.322822 \nL 127.357941 62.004907 \nL 128.256463 59.813498 \nL 129.385365 57.749418 \nL 130.743658 55.81326 \nL 132.329588 54.00537 \nL 134.140615 52.32588 \nL 136.173441 50.774685 \nL 138.423956 49.351519 \nL 140.887319 48.055938 \nL 143.557919 46.887332 \nL 146.429413 45.844975 \nL 150.290474 44.71824 \nL 154.439054 43.785526 \nL 158.858272 43.044781 \nL 163.529748 42.493789 \nL 168.433725 42.130293 \nL 173.549192 41.952008 \nL 179.935702 41.979372 \nL 186.554796 42.266425 \nL 193.364778 42.809668 \nL 200.322707 43.605904 \nL 207.384791 44.652335 \nL 214.506807 45.946578 \nL 221.644501 47.486686 \nL 228.753994 49.271188 \nL 235.792183 51.298977 \nL 241.572565 53.1741 \nL 247.250788 55.217378 \nL 252.804238 57.428642 \nL 258.211309 59.807777 \nL 263.451506 62.354677 \nL 268.50558 65.0692 \nL 273.355602 67.951098 \nL 277.985071 70.999955 \nL 282.378987 74.215115 \nL 285.71542 76.906383 \nL 288.886301 79.702862 \nL 291.886148 82.603742 \nL 294.710158 85.608023 \nL 297.35421 88.714487 \nL 299.814851 91.9217 \nL 302.089325 95.227956 \nL 304.175546 98.631293 \nL 306.072079 102.129451 \nL 307.778158 105.719854 \nL 309.293628 109.399627 \nL 310.618969 113.165544 \nL 311.755235 117.014042 \nL 312.704059 120.941184 \nL 313.46759 124.942685 \nL 314.048517 129.013876 \nL 314.449983 133.149714 \nL 314.704974 138.402128 \nL 314.693094 143.735632 \nL 314.423149 149.137885 \nL 313.904683 154.595649 \nL 313.14792 160.094807 \nL 312.163595 165.620409 \nL 310.962879 171.15671 \nL 309.557245 176.687228 \nL 307.958356 182.194798 \nL 305.801138 188.748554 \nL 303.402839 195.212 \nL 300.783477 201.552616 \nL 297.962617 207.737276 \nL 294.959152 213.732505 \nL 291.791152 219.504785 \nL 288.475762 225.020853 \nL 285.611981 229.398234 \nL 282.665723 233.556478 \nL 279.645136 237.47766 \nL 276.55776 241.144547 \nL 273.410557 244.540694 \nL 270.209909 247.650603 \nL 266.961629 250.459848 \nL 263.670999 252.955127 \nL 261.011203 254.717188 \nL 258.329557 256.26508 \nL 255.628077 257.593888 \nL 252.908615 258.699263 \nL 250.172869 259.57754 \nL 247.422394 260.225689 \nL 244.658621 260.641363 \nL 241.882889 260.822899 \nL 239.096446 260.769312 \nL 236.300485 260.480338 \nL 233.496151 259.956401 \nL 230.684573 259.198625 \nL 227.86688 258.208819 \nL 225.04422 256.989469 \nL 222.217786 255.543756 \nL 219.388835 253.875486 \nL 216.558704 251.989089 \nL 213.02159 249.332103 \nL 209.48799 246.353349 \nL 205.961346 243.065252 \nL 202.445509 239.481459 \nL 198.944778 235.616777 \nL 195.463948 231.486951 \nL 191.320756 226.204695 \nL 187.224175 220.594898 \nL 183.18566 214.68905 \nL 179.217915 208.519613 \nL 175.334873 202.119716 \nL 170.931983 194.406563 \nL 166.691088 186.47858 \nL 162.640225 178.388602 \nL 158.809165 170.188473 \nL 155.229083 161.928565 \nL 152.384619 154.837851 \nL 149.76887 147.768035 \nL 147.402613 140.746899 \nL 145.306434 133.800709 \nL 143.500523 126.95409 \nL 142.2314 121.341229 \nL 141.188175 115.82579 \nL 140.381018 110.419229 \nL 139.819409 105.132124 \nL 139.512007 99.974177 \nL 139.466541 94.954204 \nL 139.689718 90.080166 \nL 140.065453 86.290816 \nL 140.618985 82.602693 \nL 141.352063 79.018732 \nL 142.265895 75.54155 \nL 143.361091 72.173458 \nL 144.637663 68.91648 \nL 146.095005 65.772361 \nL 147.731882 62.74258 \nL 149.546408 59.828376 \nL 151.53605 57.030768 \nL 153.697618 54.350535 \nL 156.027265 51.788279 \nL 158.520485 49.344443 \nL 161.172141 47.019293 \nL 163.976451 44.812962 \nL 166.927008 42.725467 \nL 170.810138 40.283083 \nL 174.895837 38.025928 \nL 179.167796 35.953523 \nL 183.608452 34.065311 \nL 188.19909 32.360689 \nL 192.919939 30.839072 \nL 197.750299 29.499921 \nL 202.668672 28.342765 \nL 207.652894 27.36727 \nL 213.688912 26.436195 \nL 219.747176 25.766393 \nL 225.787397 25.358211 \nL 231.769262 25.212346 \nL 237.652822 25.329916 \nL 242.452382 25.630155 \nL 247.134326 26.115331 \nL 251.677226 26.786576 \nL 256.060488 27.645112 \nL 260.264472 28.692225 \nL 264.270622 29.929216 \nL 268.061593 31.357395 \nL 271.621328 32.977966 \nL 274.292741 34.413726 \nL 276.799951 35.97383 \nL 279.136761 37.658713 \nL 281.297643 39.468675 \nL 283.277715 41.403929 \nL 285.072792 43.464547 \nL 286.67937 45.650439 \nL 288.094631 47.961358 \nL 289.316465 50.396878 \nL 290.343426 52.956362 \nL 291.17477 55.638969 \nL 291.810423 58.443635 \nL 292.250952 61.369059 \nL 292.497585 64.413674 \nL 292.552151 67.575655 \nL 292.417081 70.852913 \nL 291.986197 75.107933 \nL 291.27076 79.534043 \nL 290.279003 84.125209 \nL 289.020268 88.874667 \nL 287.504889 93.774865 \nL 285.36349 99.842332 \nL 282.889454 106.098994 \nL 280.104787 112.527407 \nL 277.03244 119.108496 \nL 273.115869 126.951797 \nL 268.877736 134.939425 \nL 263.688995 144.195959 \nL 258.185337 153.530485 \nL 252.420366 162.878427 \nL 246.44486 172.171919 \nL 240.306046 181.340426 \nL 234.047106 190.311487 \nL 227.706815 199.01153 \nL 221.319351 207.366806 \nL 215.714979 214.337465 \nL 210.114181 220.940536 \nL 205.327381 226.272757 \nL 200.561646 231.27326 \nL 195.823601 235.915794 \nL 191.118857 240.175817 \nL 187.227114 243.41728 \nL 183.364146 246.365525 \nL 179.532029 249.009804 \nL 175.732603 251.340648 \nL 171.96757 253.349937 \nL 168.981398 254.721235 \nL 166.019093 255.879577 \nL 163.081491 256.822767 \nL 160.169465 257.549237 \nL 157.283954 258.058039 \nL 154.42598 258.348882 \nL 151.596665 258.422102 \nL 148.797248 258.278647 \nL 146.029119 257.920136 \nL 143.293816 257.348794 \nL 140.593071 256.567453 \nL 137.928776 255.57956 \nL 135.303063 254.389124 \nL 132.718248 253.000743 \nL 130.176886 251.419536 \nL 127.681768 249.651143 \nL 124.632534 247.186761 \nL 121.666759 244.452428 \nL 118.791526 241.46209 \nL 116.014479 238.230573 \nL 113.343913 234.773507 \nL 110.788665 231.107196 \nL 108.3581 227.248465 \nL 106.062142 223.214583 \nL 103.911162 219.023126 \nL 101.91594 214.691848 \nL 100.087626 210.238581 \nL 98.437594 205.681104 \nL 96.977474 201.037034 \nL 95.718961 196.323725 \nL 94.673775 191.558162 \nL 93.853579 186.756888 \nL 93.269828 181.935885 \nL 92.933636 177.110539 \nL 92.855785 172.295542 \nL 93.046462 167.504845 \nL 93.39881 163.698652 \nL 93.933717 159.922799 \nL 94.65539 156.183291 \nL 95.567695 152.485771 \nL 96.674005 148.835519 \nL 97.977303 145.237449 \nL 99.480047 141.696108 \nL 101.184217 138.215677 \nL 103.091228 134.79998 \nL 105.20194 131.452489 \nL 107.516603 128.176331 \nL 110.034852 124.974304 \nL 112.755692 121.848882 \nL 115.677464 118.802244 \nL 118.797883 115.836271 \nL 122.11397 112.952588 \nL 125.622067 110.152562 \nL 129.317827 107.43734 \nL 134.193706 104.16397 \nL 139.343608 101.025988 \nL 144.754599 98.024444 \nL 150.412138 95.160089 \nL 156.300132 92.433442 \nL 162.400995 89.844854 \nL 168.695725 87.394593 \nL 175.163982 85.082895 \nL 183.124448 82.492146 \nL 191.264171 80.101972 \nL 199.541604 77.913343 \nL 207.913433 75.927664 \nL 216.334908 74.146837 \nL 224.760196 72.573352 \nL 233.142761 71.21029 \nL 241.435743 70.061353 \nL 249.592354 69.130844 \nL 257.566282 68.423618 \nL 265.3121 67.945032 \nL 272.785669 67.700797 \nL 279.944512 67.696945 \nL 286.748212 67.939647 \nL 292.11918 68.334679 \nL 297.196553 68.908714 \nL 301.961258 69.665072 \nL 306.39578 70.606907 \nL 310.484288 71.737034 \nL 313.496472 72.778408 \nL 316.271838 73.942967 \nL 318.804802 75.231596 \nL 321.090595 76.644959 \nL 323.125251 78.183468 \nL 324.905625 79.847278 \nL 326.429361 81.636275 \nL 327.694951 83.55004 \nL 328.701697 85.587841 \nL 329.44968 87.748627 \nL 329.939767 90.031012 \nL 330.173617 92.433252 \nL 330.153643 94.953257 \nL 329.882942 97.588564 \nL 329.365312 100.336354 \nL 328.60521 103.193429 \nL 327.607713 106.156216 \nL 326.378459 109.220783 \nL 324.525437 113.188025 \nL 322.333124 117.298336 \nL 319.815721 121.541649 \nL 316.988332 125.90706 \nL 313.208644 131.290192 \nL 309.033961 136.810576 \nL 304.493713 142.445072 \nL 299.617851 148.169218 \nL 293.545383 154.926404 \nL 287.104692 161.728171 \nL 280.342439 168.530522 \nL 273.30382 175.288353 \nL 266.032042 181.955884 \nL 258.567966 188.487114 \nL 250.949781 194.8363 \nL 243.212813 200.958434 \nL 236.511164 205.992036 \nL 229.764635 210.800072 \nL 222.990218 215.35712 \nL 216.203357 219.639168 \nL 209.418029 223.623789 \nL 203.773905 226.702176 \nL 198.146285 229.54881 \nL 192.541289 232.153848 \nL 186.964571 234.508568 \nL 181.42139 236.605406 \nL 175.916683 238.438012 \nL 170.455135 240.001349 \nL 165.041268 241.291598 \nL 159.679486 242.306343 \nL 154.374198 243.044458 \nL 149.129855 243.506192 \nL 143.951044 243.693156 \nL 138.842521 243.608255 \nL 133.809322 243.25574 \nL 128.856793 242.641137 \nL 123.990643 241.771194 \nL 119.217003 240.653855 \nL 114.542445 239.298161 \nL 109.974071 237.714235 \nL 105.519438 235.913155 \nL 101.186698 233.906885 \nL 96.98446 231.708214 \nL 92.921906 229.33062 \nL 89.008719 226.788157 \nL 85.255099 224.095397 \nL 81.671679 221.267307 \nL 78.269514 218.319128 \nL 75.060051 215.266286 \nL 72.05503 212.124257 \nL 69.266435 208.908494 \nL 66.706431 205.634301 \nL 64.387218 202.31674 \nL 62.32104 198.970527 \nL 60.52004 195.609958 \nL 58.996143 192.248792 \nL 57.760978 188.900201 \nL 56.988288 186.23882 \nL 56.413089 183.599573 \nL 56.040641 180.988203 \nL 55.875976 178.410122 \nL 55.923745 175.870387 \nL 56.188306 173.37369 \nL 56.673625 170.924351 \nL 57.383248 168.526311 \nL 58.320318 166.183124 \nL 59.487488 163.897955 \nL 60.886942 161.673586 \nL 62.520372 159.512406 \nL 64.388921 157.416432 \nL 66.493173 155.387303 \nL 68.833184 153.426296 \nL 71.408418 151.534337 \nL 74.217742 149.712014 \nL 77.259452 147.959596 \nL 81.384788 145.867294 \nL 85.863729 143.883453 \nL 90.688969 142.006762 \nL 95.851773 140.235352 \nL 101.341931 138.566874 \nL 108.345855 136.696683 \nL 115.78183 134.965409 \nL 123.624541 133.367266 \nL 133.251102 131.66298 \nL 143.344804 130.122098 \nL 153.853097 128.735393 \nL 166.297957 127.328585 \nL 179.121671 126.101427 \nL 193.8843 124.925582 \nL 208.868651 123.96 \nL 223.931607 123.203387 \nL 238.927799 122.660379 \nL 253.711518 122.341538 \nL 268.138689 122.263027 \nL 280.549878 122.411993 \nL 292.473346 122.785056 \nL 302.435138 123.310565 \nL 311.897291 124.036255 \nL 319.569671 124.82819 \nL 326.805033 125.786131 \nL 333.575073 126.918401 \nL 338.842836 128.000743 \nL 343.756492 129.213614 \nL 348.304354 130.56063 \nL 352.476259 132.044839 \nL 356.263665 133.668665 \nL 359.012014 135.069429 \nL 361.506973 136.561184 \nL 363.746426 138.144115 \nL 365.728911 139.818046 \nL 367.453637 141.582431 \nL 368.920446 143.436332 \nL 370.129875 145.378407 \nL 371.083078 147.406905 \nL 371.781804 149.519655 \nL 372.228433 151.714057 \nL 372.425913 153.987087 \nL 372.377698 156.335292 \nL 372.087812 158.754794 \nL 371.560737 161.241293 \nL 370.801424 163.790077 \nL 369.81519 166.396032 \nL 368.607819 169.053653 \nL 366.796906 172.439341 \nL 364.662516 175.884275 \nL 362.217785 179.375376 \nL 359.476387 182.898821 \nL 356.452376 186.440115 \nL 353.160019 189.984181 \nL 349.613792 193.515441 \nL 345.828158 197.01792 \nL 340.989644 201.15997 \nL 335.851742 205.20865 \nL 330.438509 209.13534 \nL 325.733985 212.293855 \nL 320.867492 215.331606 \nL 315.851575 218.232646 \nL 310.69829 220.981459 \nL 305.419115 223.563056 \nL 300.024982 225.963095 \nL 294.526255 228.167992 \nL 288.932738 230.165033 \nL 283.253693 231.942406 \nL 277.497854 233.48936 \nL 271.673465 234.796267 \nL 265.788336 235.85468 \nL 259.849884 236.657407 \nL 253.86518 237.198578 \nL 247.841027 237.473648 \nL 241.784026 237.479484 \nL 235.700643 237.214376 \nL 229.597285 236.678032 \nL 223.48038 235.871594 \nL 217.35645 234.797622 \nL 211.232188 233.4601 \nL 205.114537 231.864378 \nL 199.010758 230.017141 \nL 192.9285 227.926378 \nL 186.875864 225.601312 \nL 180.861458 223.052309 \nL 174.894456 220.290846 \nL 168.984622 217.329401 \nL 163.142368 214.181376 \nL 157.378755 210.860995 \nL 150.58279 206.670158 \nL 143.938576 202.279758 \nL 137.469033 197.717866 \nL 131.198399 193.013342 \nL 125.152114 188.19555 \nL 119.356686 183.294101 \nL 113.839511 178.338574 \nL 108.628686 173.358279 \nL 103.752739 168.381985 \nL 99.240332 163.437687 \nL 95.120061 158.552383 \nL 92.006353 154.545004 \nL 89.200379 150.610706 \nL 86.717506 146.762922 \nL 84.572414 143.014271 \nL 82.779017 139.376499 \nL 81.606267 136.553426 \nL 80.673073 133.813367 \nL 79.985106 131.161026 \nL 79.547521 128.60068 \nL 79.364893 126.136204 \nL 79.441224 123.771041 \nL 79.779874 121.508212 \nL 80.383519 119.350315 \nL 81.254194 117.299528 \nL 82.393192 115.357618 \nL 83.801073 113.525945 \nL 85.477641 111.805484 \nL 87.421961 110.196815 \nL 89.632304 108.700163 \nL 92.106191 107.315391 \nL 94.840396 106.042043 \nL 97.830873 104.879357 \nL 101.072842 103.826271 \nL 105.470468 102.662009 \nL 110.239981 101.663825 \nL 115.367272 100.828118 \nL 120.836598 100.150887 \nL 127.826825 99.541238 \nL 135.251938 99.145529 \nL 143.076544 98.955452 \nL 151.262759 98.962616 \nL 161.216874 99.209171 \nL 171.541968 99.700156 \nL 182.168704 100.423704 \nL 193.02582 101.369072 \nL 204.040876 102.526931 \nL 216.729395 104.100483 \nL 227.837799 105.689634 \nL 238.876858 107.472497 \nL 249.776863 109.44658 \nL 260.470482 111.610931 \nL 270.893378 113.96596 \nL 279.565593 116.137457 \nL 287.958195 118.451619 \nL 296.037615 120.9102 \nL 303.772874 123.515081 \nL 309.935564 125.79889 \nL 315.824775 128.186496 \nL 321.427141 130.678633 \nL 326.730749 133.27577 \nL 331.72524 135.978024 \nL 336.401718 138.785092 \nL 340.752878 141.696176 \nL 344.7729 144.709921 \nL 347.747564 147.193526 \nL 350.50602 149.740258 \nL 353.047365 152.348498 \nL 355.371266 155.016319 \nL 357.477987 157.741471 \nL 359.368352 160.521367 \nL 361.043697 163.35308 \nL 362.505887 166.233334 \nL 363.757265 169.158499 \nL 364.800633 172.12459 \nL 365.639237 175.127263 \nL 366.276703 178.161831 \nL 366.717032 181.223255 \nL 366.964625 184.306155 \nL 367.024079 187.404831 \nL 366.900368 190.513254 \nL 366.495998 194.402848 \nL 365.824015 198.284821 \nL 364.895314 202.145584 \nL 363.721101 205.970986 \nL 362.312774 209.746397 \nL 360.68178 213.45677 \nL 358.839608 217.08676 \nL 356.7976 220.620796 \nL 354.566939 224.043183 \nL 352.158555 227.338227 \nL 349.583036 230.490299 \nL 346.850591 233.483993 \nL 343.971008 236.304201 \nL 340.953548 238.936223 \nL 337.807003 241.365899 \nL 334.53956 243.579669 \nL 331.158891 245.56472 \nL 327.672027 247.309052 \nL 324.085497 248.801612 \nL 321.148483 249.807563 \nL 318.154256 250.641259 \nL 315.105342 251.298486 \nL 312.004097 251.77554 \nL 308.85267 252.069217 \nL 305.653017 252.176824 \nL 302.406915 252.096209 \nL 299.115998 251.82577 \nL 295.781755 251.364444 \nL 292.405562 250.711734 \nL 288.128246 249.62686 \nL 283.789663 248.24443 \nL 279.392009 246.567111 \nL 274.937427 244.598912 \nL 270.428067 242.345149 \nL 265.866176 239.812365 \nL 261.254174 237.008346 \nL 256.594712 233.941963 \nL 250.944925 229.930124 \nL 245.236969 225.574098 \nL 239.477692 220.894928 \nL 233.675061 215.915378 \nL 226.862936 209.758658 \nL 220.021544 203.266771 \nL 213.170809 196.482231 \nL 205.359497 188.426516 \nL 197.605189 180.112971 \nL 189.952378 171.609309 \nL 181.52635 161.899588 \nL 173.369891 152.129629 \nL 166.414534 143.469218 \nL 159.802551 134.896257 \nL 153.599827 126.469953 \nL 148.561002 119.261155 \nL 143.932196 112.242267 \nL 140.324817 106.401873 \nL 137.078755 100.743735 \nL 134.220238 95.285244 \nL 132.152116 90.90049 \nL 130.383771 86.673764 \nL 128.9276 82.612651 \nL 127.794857 78.723966 \nL 127.128293 75.741248 \nL 126.679629 72.87553 \nL 126.452731 70.129241 \nL 126.450833 67.504517 \nL 126.676502 65.003206 \nL 127.131591 62.626861 \nL 127.817261 60.376755 \nL 128.733911 58.253908 \nL 129.881181 56.259053 \nL 131.257945 54.392688 \nL 132.862299 52.655096 \nL 134.691557 51.04632 \nL 136.742271 49.566219 \nL 139.010194 48.214449 \nL 141.490329 46.99052 \nL 144.176925 45.89378 \nL 147.0635 44.923447 \nL 150.941923 43.886908 \nL 155.10599 43.044542 \nL 159.538585 42.394206 \nL 164.221112 41.933658 \nL 169.133638 41.660598 \nL 174.25499 41.572713 \nL 180.644856 41.70849 \nL 187.263098 42.103814 \nL 194.067915 42.75516 \nL 201.016321 43.659304 \nL 208.064545 44.813422 \nL 215.16845 46.215113 \nL 222.28394 47.862385 \nL 229.367358 49.753679 \nL 236.375882 51.887818 \nL 242.129047 53.851181 \nL 247.77802 55.982273 \nL 253.300443 58.280847 \nL 258.67497 60.746698 \nL 263.881404 63.379615 \nL 268.900797 66.179331 \nL 273.715547 69.145465 \nL 278.30947 72.277461 \nL 282.667895 75.574502 \nL 285.976207 78.33024 \nL 289.119396 81.190171 \nL 292.092151 84.153383 \nL 294.889842 87.218765 \nL 297.5085 90.384988 \nL 299.944844 93.65049 \nL 302.196274 97.013449 \nL 304.260846 100.471769 \nL 306.137279 104.023052 \nL 307.824932 107.664598 \nL 309.323778 111.393379 \nL 310.63441 115.206033 \nL 311.757996 119.098845 \nL 312.696249 123.067743 \nL 313.451435 127.108279 \nL 314.026279 131.215644 \nL 314.424006 135.384645 \nL 314.677694 140.674054 \nL 314.668329 146.039332 \nL 314.404741 151.467863 \nL 313.896474 156.946139 \nL 313.153763 162.459788 \nL 312.187303 167.993618 \nL 311.008196 173.531656 \nL 309.627824 179.057215 \nL 308.057731 184.552952 \nL 305.93957 191.083202 \nL 303.584981 197.512796 \nL 301.013692 203.809049 \nL 298.244928 209.93875 \nL 295.297253 215.868411 \nL 292.188388 221.564597 \nL 288.935088 226.994179 \nL 286.125044 231.291716 \nL 283.234119 235.363261 \nL 280.270219 239.19112 \nL 277.240691 242.758309 \nL 274.152286 246.048708 \nL 271.011183 249.047167 \nL 267.823009 251.739656 \nL 265.242007 253.664647 \nL 262.636503 255.379569 \nL 260.00867 256.87901 \nL 257.360479 258.158137 \nL 254.693745 259.212724 \nL 252.010125 260.03922 \nL 249.311132 260.634739 \nL 246.598158 260.997013 \nL 243.872499 261.124528 \nL 241.135358 261.016434 \nL 238.387884 260.672553 \nL 235.631176 260.093453 \nL 232.866311 259.280382 \nL 230.094364 258.235271 \nL 227.316433 256.960723 \nL 224.533651 255.460015 \nL 221.747215 253.73707 \nL 218.9584 251.79644 \nL 215.471143 249.072388 \nL 211.985282 246.027569 \nL 208.504116 242.674586 \nL 205.031339 239.027235 \nL 201.571092 235.100411 \nL 197.441882 230.041787 \nL 193.346382 224.632755 \nL 189.294729 218.903891 \nL 185.298258 212.886965 \nL 181.369531 206.61461 \nL 176.890098 199.018353 \nL 172.545661 191.172858 \nL 168.362306 183.131233 \nL 164.36805 174.945954 \nL 160.592586 166.668322 \nL 157.066974 158.348002 \nL 154.268129 151.218479 \nL 151.696851 144.121201 \nL 149.37367 137.083317 \nL 147.318931 130.130409 \nL 145.552506 123.286415 \nL 144.314562 117.68236 \nL 143.300693 112.181303 \nL 142.52084 106.794296 \nL 141.984218 101.531519 \nL 141.69922 96.402269 \nL 141.673294 91.414987 \nL 141.912844 86.577271 \nL 142.299212 82.819355 \nL 142.861016 79.164596 \nL 143.59984 75.61577 \nL 144.516736 72.175335 \nL 145.612161 68.845483 \nL 146.885983 65.628065 \nL 148.337448 62.524727 \nL 149.965167 59.536824 \nL 151.767122 56.665509 \nL 153.740665 53.911684 \nL 155.88247 51.276058 \nL 158.188575 48.75917 \nL 160.654384 46.361376 \nL 163.274655 44.082896 \nL 166.043538 41.92382 \nL 168.954557 39.884111 \nL 172.782413 37.502186 \nL 176.806256 35.306233 \nL 181.009757 33.295758 \nL 185.375363 31.470165 \nL 189.884403 29.828853 \nL 194.517198 28.371246 \nL 199.253191 27.096795 \nL 204.071057 26.005058 \nL 208.948857 25.095715 \nL 214.849736 24.245007 \nL 220.765268 23.656679 \nL 226.655787 23.331077 \nL 232.481687 23.268944 \nL 237.258965 23.419184 \nL 241.941912 23.753943 \nL 246.508817 24.274187 \nL 250.938653 24.98097 \nL 255.211225 25.875453 \nL 259.307291 26.958875 \nL 263.208672 28.232475 \nL 266.89839 29.697476 \nL 270.360752 31.355039 \nL 272.957292 32.820439 \nL 275.392499 34.410228 \nL 277.660342 36.124795 \nL 279.755435 37.964398 \nL 281.673051 39.929231 \nL 283.40912 42.019338 \nL 284.960269 44.234614 \nL 286.323793 46.574766 \nL 287.497669 49.039378 \nL 288.480553 51.627776 \nL 289.271766 54.339128 \nL 289.871295 57.172355 \nL 290.279775 60.126153 \nL 290.498459 63.198965 \nL 290.529198 66.388975 \nL 290.374451 69.694093 \nL 289.924787 73.98373 \nL 289.197013 78.444254 \nL 288.199322 83.0697 \nL 286.940964 87.853338 \nL 285.432177 92.787693 \nL 283.30671 98.89618 \nL 280.857097 105.194058 \nL 278.105055 111.663995 \nL 274.542261 119.404393 \nL 270.635443 127.320451 \nL 266.421914 135.376644 \nL 261.278573 144.706192 \nL 255.83754 154.107808 \nL 250.151048 163.516681 \nL 243.521604 174.025435 \nL 237.472738 183.220314 \nL 231.319985 192.201692 \nL 225.100028 200.89569 \nL 218.844994 209.228375 \nL 213.364864 216.165657 \nL 207.894794 222.722722 \nL 203.224324 228.005576 \nL 198.578143 232.947737 \nL 193.962248 237.523161 \nL 189.381687 241.707592 \nL 185.594624 244.879854 \nL 181.837148 247.753463 \nL 178.111094 250.317977 \nL 174.418121 252.564213 \nL 170.759759 254.484298 \nL 167.858984 255.781198 \nL 164.982071 256.862627 \nL 162.129814 257.726566 \nL 159.30306 258.371642 \nL 156.502711 258.797129 \nL 153.729775 259.002929 \nL 150.98537 258.989592 \nL 148.270739 258.758287 \nL 145.587287 258.310838 \nL 142.936569 257.649688 \nL 140.320324 256.777894 \nL 137.740494 255.699096 \nL 135.199229 254.417543 \nL 132.698897 252.938018 \nL 130.242086 251.265843 \nL 127.236603 248.913647 \nL 124.309622 246.281997 \nL 121.46781 243.384389 \nL 118.718432 240.235275 \nL 116.06936 236.84995 \nL 113.529033 233.244452 \nL 111.106483 229.43542 \nL 108.811246 225.440012 \nL 106.653336 221.275724 \nL 104.643229 216.96033 \nL 102.791772 212.511726 \nL 101.110127 207.94781 \nL 99.609704 203.286391 \nL 98.302015 198.545067 \nL 97.19869 193.741127 \nL 96.311299 188.891449 \nL 95.651286 184.012412 \nL 95.229869 179.119821 \nL 95.057874 174.228838 \nL 95.145683 169.353901 \nL 95.503107 164.508691 \nL 95.989319 160.662598 \nL 96.658215 156.849983 \nL 97.513741 153.076688 \nL 98.559419 149.348197 \nL 99.798334 145.669631 \nL 101.233106 142.045742 \nL 102.865885 138.480923 \nL 104.698212 134.979204 \nL 106.731153 131.544261 \nL 108.965141 128.179429 \nL 111.400017 124.887703 \nL 114.035002 121.671757 \nL 116.868679 118.533961 \nL 119.898945 115.476392 \nL 123.123055 112.500848 \nL 126.537585 109.608877 \nL 130.13843 106.801788 \nL 134.894125 103.413953 \nL 139.922568 100.162187 \nL 145.211272 97.04781 \nL 150.746141 94.071828 \nL 156.511526 91.234997 \nL 162.490268 88.53788 \nL 168.663751 85.980911 \nL 175.012019 83.564493 \nL 182.830677 80.850891 \nL 190.8315 78.341106 \nL 198.973459 76.036254 \nL 207.213697 73.937831 \nL 215.507863 72.047785 \nL 223.810459 70.368623 \nL 232.075216 68.9034 \nL 240.255481 67.655765 \nL 248.30462 66.629951 \nL 256.17641 65.830695 \nL 263.825454 65.263249 \nL 271.207594 64.933237 \nL 278.28028 64.846556 \nL 285.002996 65.009237 \nL 290.310331 65.339675 \nL 295.327443 65.85093 \nL 300.035147 66.546316 \nL 304.415805 67.428914 \nL 308.453445 68.501541 \nL 311.426995 69.498149 \nL 314.165459 70.619057 \nL 316.663208 71.86516 \nL 318.915398 73.237122 \nL 320.917949 74.735404 \nL 322.667646 76.360182 \nL 324.162067 78.111413 \nL 325.399634 79.988715 \nL 326.379557 81.991429 \nL 327.101871 84.118571 \nL 327.567399 86.368836 \nL 327.777707 88.740586 \nL 327.735163 91.231822 \nL 327.442807 93.840195 \nL 326.904402 96.563007 \nL 326.124371 99.397185 \nL 325.10777 102.339307 \nL 323.512928 106.162929 \nL 321.569432 110.141063 \nL 319.290624 114.264641 \nL 316.6909 118.523759 \nL 313.785557 122.907693 \nL 309.918328 128.316913 \nL 305.662935 133.867951 \nL 301.049061 139.538069 \nL 295.253388 146.271554 \nL 289.058987 153.094144 \nL 282.513594 159.963808 \nL 275.663885 166.837051 \nL 268.554938 173.669291 \nL 261.229735 180.415287 \nL 253.728812 187.029574 \nL 246.08994 193.466915 \nL 238.347948 199.682766 \nL 230.534619 205.633783 \nL 223.802553 210.49219 \nL 217.055554 215.100319 \nL 210.308401 219.434492 \nL 203.574413 223.472642 \nL 196.865564 227.194453 \nL 191.301862 230.041034 \nL 185.768783 232.645692 \nL 180.271556 235.000039 \nL 174.815033 237.096851 \nL 169.403773 238.930122 \nL 164.04212 240.495061 \nL 158.73427 241.788189 \nL 153.484348 242.807326 \nL 148.296487 243.551596 \nL 143.174901 244.021477 \nL 138.12394 244.218741 \nL 133.148172 244.146504 \nL 128.252456 243.809132 \nL 123.441959 243.212258 \nL 118.722251 242.362701 \nL 114.099304 241.268458 \nL 109.57958 239.938596 \nL 105.170006 238.383221 \nL 100.878038 236.613367 \nL 96.711633 234.640927 \nL 92.679286 232.478565 \nL 88.790018 230.139599 \nL 85.053354 227.637962 \nL 81.479298 224.988029 \nL 78.078265 222.204537 \nL 74.86113 219.302492 \nL 71.839062 216.297055 \nL 69.023553 213.203419 \nL 66.42631 210.036739 \nL 64.059178 206.811997 \nL 61.93406 203.543923 \nL 60.062847 200.246895 \nL 58.457303 196.934843 \nL 57.128977 193.621193 \nL 56.089085 190.318754 \nL 55.472131 187.69305 \nL 55.052006 185.088187 \nL 54.833785 182.509725 \nL 54.822215 179.962891 \nL 55.021776 177.45257 \nL 55.436562 174.983283 \nL 56.070334 172.559185 \nL 56.926432 170.184054 \nL 58.007759 167.861288 \nL 59.316774 165.593912 \nL 60.855454 163.384568 \nL 62.625286 161.23552 \nL 64.627196 159.148665 \nL 66.861607 157.125537 \nL 69.328382 155.167318 \nL 72.026824 153.274851 \nL 74.955651 151.448654 \nL 78.93777 149.259391 \nL 83.271986 147.173756 \nL 87.951951 145.19088 \nL 92.969869 143.309316 \nL 98.316524 141.527106 \nL 105.151427 139.516223 \nL 112.423422 137.640187 \nL 120.108876 135.893706 \nL 128.181522 134.27117 \nL 138.050463 132.527238 \nL 148.357514 130.935339 \nL 160.604591 129.291579 \nL 173.268252 127.824786 \nL 187.89968 126.375758 \nL 202.807834 125.132452 \nL 217.852038 124.092605 \nL 232.888295 123.259781 \nL 247.771171 122.643515 \nL 262.355713 122.259099 \nL 274.954051 122.128551 \nL 287.106905 122.214796 \nL 297.301833 122.483464 \nL 307.024962 122.947173 \nL 316.220513 123.620439 \nL 323.643202 124.375327 \nL 330.610333 125.303728 \nL 337.09466 126.414049 \nL 342.111846 127.48387 \nL 346.764337 128.689369 \nL 351.04119 130.034002 \nL 354.933087 131.520612 \nL 357.764157 132.813598 \nL 360.340672 134.1996 \nL 362.660091 135.679043 \nL 364.720587 137.251998 \nL 366.520981 138.918169 \nL 368.060793 140.676871 \nL 369.340183 142.527018 \nL 370.359986 144.467115 \nL 371.121666 146.495249 \nL 371.627303 148.609077 \nL 371.879561 150.80583 \nL 371.881722 153.082305 \nL 371.637547 155.43487 \nL 371.151347 157.859466 \nL 370.427902 160.351615 \nL 369.472435 162.906427 \nL 368.290595 165.518617 \nL 366.504139 168.855859 \nL 364.385801 172.261972 \nL 361.948765 175.724221 \nL 359.206693 179.229095 \nL 356.173763 182.762384 \nL 352.864428 186.309243 \nL 349.293356 189.854292 \nL 344.683364 194.083661 \nL 339.743205 198.259639 \nL 334.498045 202.353784 \nL 328.972547 206.337462 \nL 323.190685 210.182099 \nL 318.193347 213.259405 \nL 313.046928 216.204582 \nL 307.763734 219.002049 \nL 302.355578 221.636776 \nL 296.833681 224.094361 \nL 291.208699 226.361142 \nL 285.490734 228.424297 \nL 279.689321 230.271976 \nL 273.813493 231.89331 \nL 267.871773 233.278564 \nL 261.872231 234.419177 \nL 255.822562 235.30785 \nL 249.730108 235.938588 \nL 243.601945 236.306707 \nL 237.444928 236.408948 \nL 231.265787 236.24345 \nL 225.071186 235.80978 \nL 218.867806 235.108957 \nL 212.662418 234.143371 \nL 206.461962 232.916884 \nL 200.273621 231.434675 \nL 194.10489 229.703326 \nL 187.963651 227.730647 \nL 181.858217 225.525728 \nL 175.797409 223.09882 \nL 169.790592 220.46125 \nL 163.847721 217.625384 \nL 157.979387 214.604499 \nL 152.1968 211.412709 \nL 145.387646 207.377924 \nL 138.740854 203.145296 \nL 132.279503 198.742729 \nL 126.027912 194.198893 \nL 120.011554 189.542979 \nL 114.256916 184.80442 \nL 108.791294 180.012617 \nL 103.642588 175.196684 \nL 98.839117 170.385191 \nL 94.409226 165.605917 \nL 90.381098 160.885628 \nL 87.35121 157.015571 \nL 84.635092 153.218257 \nL 82.247815 149.50695 \nL 80.203681 145.894085 \nL 78.516204 142.391217 \nL 77.431493 139.675289 \nL 76.589024 137.041566 \nL 75.994262 134.494628 \nL 75.652091 132.03864 \nL 75.566888 129.677341 \nL 75.742382 127.41404 \nL 76.181704 125.251624 \nL 76.887313 123.192545 \nL 77.860971 121.23884 \nL 79.10374 119.392121 \nL 80.615963 117.653599 \nL 82.39724 116.024083 \nL 84.446428 114.504 \nL 86.761605 113.093409 \nL 89.340109 111.792024 \nL 92.17852 110.599215 \nL 95.272664 109.514053 \nL 99.492407 108.307093 \nL 104.092806 107.263451 \nL 109.060954 106.379613 \nL 114.382284 105.651576 \nL 120.040618 105.074942 \nL 127.250569 104.576195 \nL 134.887288 104.280136 \nL 142.915063 104.177958 \nL 152.724212 104.291985 \nL 162.949999 104.64408 \nL 173.52557 105.221125 \nL 185.951391 106.140573 \nL 198.637825 107.322077 \nL 211.477652 108.752297 \nL 224.363607 110.420845 \nL 237.189706 112.320411 \nL 248.282033 114.168586 \nL 259.182253 116.189259 \nL 269.826125 118.382889 \nL 280.152688 120.751236 \nL 288.708029 122.922376 \nL 296.954636 125.226044 \nL 304.861433 127.664593 \nL 312.399966 130.240392 \nL 318.382161 132.493331 \nL 324.077425 134.844209 \nL 329.47385 137.293869 \nL 334.560998 139.842825 \nL 339.329917 142.49119 \nL 343.773151 145.238605 \nL 347.884698 148.084168 \nL 350.932057 150.430295 \nL 353.762613 152.837212 \nL 356.375314 155.303559 \nL 358.769692 157.827669 \nL 360.945849 160.407559 \nL 362.904426 163.04092 \nL 364.6466 165.7251 \nL 366.174064 168.457106 \nL 367.488956 171.233594 \nL 368.593916 174.050869 \nL 369.491986 176.90488 \nL 370.186631 179.791234 \nL 370.68168 182.705186 \nL 370.981308 185.641654 \nL 371.089995 188.595228 \nL 371.012498 191.560185 \nL 370.753837 194.5305 \nL 370.183727 198.241281 \nL 369.349273 201.937645 \nL 368.26136 205.606077 \nL 366.931182 209.232586 \nL 365.369966 212.802715 \nL 363.589021 216.301669 \nL 361.59963 219.714385 \nL 359.412897 223.025649 \nL 357.039763 226.220171 \nL 354.490815 229.282692 \nL 351.776366 232.198109 \nL 348.90625 234.951571 \nL 345.889934 237.528581 \nL 342.736312 239.915075 \nL 339.453811 242.097584 \nL 336.050274 244.063285 \nL 332.533008 245.800125 \nL 328.908759 247.296884 \nL 325.183665 248.543314 \nL 322.134809 249.35395 \nL 319.027664 249.994191 \nL 315.864689 250.460255 \nL 312.648074 250.748849 \nL 309.379877 250.8572 \nL 306.061966 250.783023 \nL 302.696069 250.524593 \nL 299.283751 250.080686 \nL 294.955293 249.264001 \nL 290.559217 248.156395 \nL 286.097963 246.759052 \nL 281.57386 245.074497 \nL 276.989216 243.106546 \nL 272.346358 240.860266 \nL 267.647698 238.341971 \nL 262.89585 235.559143 \nL 258.093657 232.520373 \nL 252.269086 228.549713 \nL 246.382896 224.243068 \nL 240.442354 219.620885 \nL 234.455866 214.705322 \nL 227.426607 208.631311 \nL 220.366005 202.229887 \nL 213.294841 195.54265 \nL 205.231292 187.60538 \nL 197.225791 179.416846 \nL 189.324362 171.043676 \nL 180.623718 161.486148 \nL 172.200302 151.873026 \nL 165.016069 143.355227 \nL 158.18494 134.927427 \nL 151.774548 126.648553 \nL 146.564792 119.570475 \nL 141.776276 112.68388 \nL 138.041767 106.958133 \nL 134.67826 101.415844 \nL 131.712599 96.074444 \nL 129.563454 91.788269 \nL 127.721922 87.661052 \nL 126.200667 83.700426 \nL 125.011184 79.913232 \nL 124.305386 77.012458 \nL 123.823062 74.229347 \nL 123.568157 71.566347 \nL 123.543975 69.025593 \nL 123.753123 66.608918 \nL 124.197516 64.317872 \nL 124.878315 62.153703 \nL 125.795931 60.117404 \nL 126.95001 58.209691 \nL 128.339413 56.431025 \nL 129.962204 54.781636 \nL 131.815656 53.261516 \nL 133.896263 51.87047 \nL 136.199715 50.608098 \nL 138.720937 49.473818 \nL 141.454102 48.466919 \nL 144.392631 47.586526 \nL 148.343405 46.66243 \nL 152.587838 45.932311 \nL 157.108592 45.393859 \nL 161.886823 45.044612 \nL 166.902328 44.882037 \nL 173.203879 44.929779 \nL 179.777078 45.238316 \nL 186.580927 45.803486 \nL 193.572895 46.621365 \nL 200.709355 47.688377 \nL 207.945958 49.001333 \nL 215.238064 50.557496 \nL 222.541141 52.354529 \nL 229.811173 54.390545 \nL 237.005053 56.664057 \nL 244.08095 59.173922 \nL 249.858358 61.44537 \nL 255.50366 63.879916 \nL 260.995704 66.477152 \nL 266.314525 69.23668 \nL 271.441439 72.158013 \nL 276.359148 75.24054 \nL 281.051816 78.483437 \nL 285.505128 81.885641 \nL 288.886821 84.721166 \nL 292.101361 87.65685 \nL 295.143649 90.691608 \nL 298.009237 93.824148 \nL 300.694382 97.052955 \nL 303.196 100.376258 \nL 305.511698 103.792034 \nL 307.639709 107.297967 \nL 309.578957 110.891439 \nL 311.328969 114.569516 \nL 312.889899 118.328935 \nL 314.262496 122.166089 \nL 315.448074 126.077014 \nL 316.448497 130.057388 \nL 317.266144 134.102522 \nL 317.903873 138.207348 \nL 318.364999 142.366421 \nL 318.698767 147.632652 \nL 318.770547 152.962353 \nL 318.589256 158.342448 \nL 318.164546 163.759 \nL 317.506626 169.197233 \nL 316.62622 174.641588 \nL 315.534374 180.075765 \nL 314.242396 185.482802 \nL 312.761758 190.845135 \nL 310.752164 197.195435 \nL 308.507223 203.423262 \nL 306.046342 209.495958 \nL 303.388421 215.380473 \nL 300.551645 221.043684 \nL 297.553331 226.452672 \nL 294.943156 230.742575 \nL 292.241062 234.815112 \nL 289.455383 238.652509 \nL 286.593893 242.237666 \nL 283.663774 245.554243 \nL 280.671633 248.586841 \nL 277.623509 251.321077 \nL 274.52487 253.743721 \nL 272.01291 255.449388 \nL 269.474069 256.942418 \nL 266.910429 258.217878 \nL 264.323888 259.271438 \nL 261.716169 260.099396 \nL 259.088841 260.698678 \nL 256.443326 261.066912 \nL 253.780929 261.202371 \nL 251.102845 261.104027 \nL 248.410183 260.771544 \nL 245.703984 260.205276 \nL 242.985242 259.40625 \nL 240.254923 258.376203 \nL 237.513991 257.117533 \nL 234.763424 255.63327 \nL 232.004235 253.927142 \nL 228.544759 251.489125 \nL 225.075753 248.720953 \nL 221.599727 245.633769 \nL 218.119495 242.239995 \nL 214.638233 238.553253 \nL 210.46444 233.763173 \nL 206.30142 228.59966 \nL 202.157287 223.091665 \nL 198.041288 217.26958 \nL 193.288844 210.122287 \nL 188.607648 202.641904 \nL 184.018719 194.880801 \nL 179.545361 186.891649 \nL 175.213069 178.726844 \nL 171.049359 170.437988 \nL 167.083556 162.075378 \nL 163.346463 153.687582 \nL 159.869998 145.321063 \nL 156.686757 137.019845 \nL 154.216523 129.987895 \nL 152.006311 123.058652 \nL 150.076181 116.254793 \nL 148.445449 109.597289 \nL 147.328478 104.175084 \nL 146.442127 98.878096 \nL 145.795612 93.715669 \nL 145.397307 88.696315 \nL 145.254645 83.827715 \nL 145.374017 79.116735 \nL 145.661719 75.465558 \nL 146.122617 71.921917 \nL 146.758287 68.488292 \nL 147.569766 65.166836 \nL 148.557492 61.959459 \nL 149.721335 58.867793 \nL 151.06054 55.893202 \nL 152.573729 53.036844 \nL 154.258896 50.299641 \nL 156.113393 47.682302 \nL 158.133929 45.185376 \nL 160.31658 42.809243 \nL 162.656797 40.554098 \nL 165.149401 38.420039 \nL 167.788594 36.407039 \nL 171.28393 34.060795 \nL 174.984547 31.903082 \nL 178.875367 29.933298 \nL 182.94005 28.150789 \nL 187.161111 26.554819 \nL 191.519985 25.144679 \nL 195.997174 23.919688 \nL 200.572357 22.879208 \nL 205.224511 22.022726 \nL 209.932063 21.349852 \nL 215.623263 20.784434 \nL 221.324061 20.482946 \nL 226.995773 20.445645 \nL 231.672187 20.616784 \nL 236.279645 20.972337 \nL 240.79655 21.512967 \nL 245.20186 22.23949 \nL 249.47522 23.152853 \nL 253.597114 24.254058 \nL 257.548966 25.544174 \nL 261.313277 27.024248 \nL 264.873713 28.695369 \nL 268.215219 30.558484 \nL 270.72156 32.187788 \nL 273.072651 33.940878 \nL 275.262745 35.818038 \nL 277.286734 37.819437 \nL 279.140139 39.945127 \nL 280.819126 42.195038 \nL 282.320533 44.568948 \nL 283.641839 47.066477 \nL 284.781191 49.687039 \nL 285.737384 52.429874 \nL 286.509857 55.29399 \nL 287.098695 58.278199 \nL 287.504586 61.381059 \nL 287.728821 64.600869 \nL 287.773269 67.935689 \nL 287.579762 72.262494 \nL 287.115057 76.760501 \nL 286.386237 81.424023 \nL 285.401483 86.246626 \nL 284.169971 91.221115 \nL 282.701744 96.339534 \nL 280.642718 102.659255 \nL 278.278376 109.156986 \nL 275.629682 115.814503 \nL 272.209172 123.756965 \nL 268.466506 131.855555 \nL 264.437223 140.073191 \nL 259.52656 149.559406 \nL 254.338863 159.085738 \nL 248.923172 168.585073 \nL 243.325553 177.987095 \nL 237.588505 187.218976 \nL 231.750539 196.206159 \nL 225.845909 204.873284 \nL 220.648286 212.135331 \nL 215.439906 219.045084 \nL 210.23565 225.554204 \nL 205.787746 230.7793 \nL 201.358857 235.648091 \nL 196.954662 240.134363 \nL 193.306837 243.563153 \nL 189.681858 246.696476 \nL 186.081779 249.522547 \nL 182.508417 252.0308 \nL 178.963399 254.212017 \nL 176.148819 255.716187 \nL 173.354107 257.002646 \nL 170.580018 258.068649 \nL 167.82733 258.912086 \nL 165.096869 259.531525 \nL 162.38951 259.926131 \nL 159.706241 260.095738 \nL 157.048131 260.040859 \nL 154.416387 259.762662 \nL 151.812353 259.262945 \nL 149.237531 258.544171 \nL 146.693608 257.609403 \nL 144.182448 256.462353 \nL 141.706114 255.107296 \nL 139.266906 253.549105 \nL 136.867314 251.793181 \nL 133.927728 249.329304 \nL 131.060219 246.578428 \nL 128.271258 243.554297 \nL 125.567895 240.271637 \nL 122.9578 236.746071 \nL 120.449207 232.993956 \nL 118.050919 229.032285 \nL 115.772271 224.878584 \nL 113.623063 220.550742 \nL 111.613607 216.066927 \nL 109.754559 211.445422 \nL 108.056895 206.704567 \nL 106.531855 201.862583 \nL 105.190872 196.9375 \nL 104.045403 191.947025 \nL 103.106949 186.908477 \nL 102.386876 181.838666 \nL 101.896343 176.753835 \nL 101.646177 171.669575 \nL 101.64676 166.600758 \nL 101.907914 161.56149 \nL 102.438819 156.565068 \nL 103.06341 152.607172 \nL 103.869898 148.690647 \nL 104.861781 144.821103 \nL 106.042077 141.003778 \nL 107.413381 137.243544 \nL 108.977775 133.544912 \nL 110.736803 129.912027 \nL 112.691447 126.34868 \nL 114.842118 122.858316 \nL 117.188601 119.44405 \nL 119.730071 116.108669 \nL 122.465072 112.854652 \nL 125.391469 109.684191 \nL 128.506463 106.599198 \nL 131.806589 103.601333 \nL 135.28769 100.692026 \nL 138.944937 97.872478 \nL 143.755737 94.475795 \nL 148.820864 91.222555 \nL 154.126467 88.114027 \nL 159.657134 85.151209 \nL 165.395925 82.33488 \nL 171.324485 79.665672 \nL 177.423064 77.144153 \nL 183.670662 74.77088 \nL 191.333187 72.119464 \nL 199.138013 69.683563 \nL 207.042976 67.464692 \nL 215.004371 65.464728 \nL 222.977309 63.686035 \nL 230.916098 62.131457 \nL 238.774629 60.804376 \nL 246.50679 59.708689 \nL 254.066859 58.848745 \nL 261.40993 58.22935 \nL 268.492317 57.85567 \nL 275.271961 57.733132 \nL 281.708793 57.867289 \nL 286.783696 58.179173 \nL 291.573955 58.676331 \nL 296.060642 59.361789 \nL 300.226407 60.238383 \nL 304.055551 61.30868 \nL 306.867082 62.305926 \nL 309.447935 63.429562 \nL 311.792611 64.680412 \nL 313.896394 66.05906 \nL 315.75535 67.565914 \nL 317.366405 69.201115 \nL 318.727271 70.964549 \nL 319.836484 72.855844 \nL 320.693405 74.874352 \nL 321.29816 77.019109 \nL 321.651685 79.288848 \nL 321.755707 81.681993 \nL 321.612639 84.19664 \nL 321.225671 86.83053 \nL 320.598656 89.581088 \nL 319.736098 92.445393 \nL 318.643131 95.420176 \nL 316.961646 99.288475 \nL 314.941408 103.315914 \nL 312.59588 107.493867 \nL 309.939548 111.812883 \nL 306.363423 117.167465 \nL 302.38989 122.691323 \nL 298.04802 128.363858 \nL 292.556799 135.14032 \nL 286.652913 142.052063 \nL 280.384446 149.059886 \nL 272.834816 157.133798 \nL 264.939553 165.216061 \nL 256.764128 173.241327 \nL 248.369983 181.14318 \nL 240.890439 187.903624 \nL 233.321802 194.474141 \nL 225.695788 200.811131 \nL 218.040965 206.872217 \nL 211.476137 211.816929 \nL 204.923183 216.504578 \nL 198.394872 220.912135 \nL 191.90256 225.018099 \nL 185.456335 228.802751 \nL 180.126173 231.698269 \nL 174.838924 234.349056 \nL 169.598855 236.746984 \nL 164.409925 238.885107 \nL 159.275837 240.75761 \nL 154.200139 242.359903 \nL 149.186268 243.688684 \nL 144.237638 244.741907 \nL 139.357734 245.518802 \nL 134.550147 246.019945 \nL 129.818656 246.247176 \nL 125.167315 246.203597 \nL 120.600461 245.893616 \nL 116.122789 245.322823 \nL 111.73941 244.497991 \nL 107.45588 243.42703 \nL 103.278258 242.118892 \nL 99.213063 240.583584 \nL 95.267382 238.831964 \nL 91.448774 236.875756 \nL 87.765367 234.727422 \nL 84.225794 232.400084 \nL 80.839203 229.907426 \nL 77.615196 227.263573 \nL 74.563801 224.483016 \nL 71.695491 221.58048 \nL 69.021026 218.570832 \nL 66.551461 215.468987 \nL 64.29807 212.289781 \nL 62.272241 209.047907 \nL 60.485442 205.757795 \nL 58.949083 202.433518 \nL 57.67446 199.088726 \nL 56.672653 195.736539 \nL 55.954398 192.389507 \nL 55.590915 189.723589 \nL 55.420589 187.074345 \nL 55.448235 184.447215 \nL 55.678393 181.847325 \nL 56.115291 179.279454 \nL 56.762807 176.748041 \nL 57.62445 174.257165 \nL 58.703364 171.810544 \nL 60.002238 169.411534 \nL 61.523322 167.063125 \nL 63.268389 164.767941 \nL 65.238731 162.528249 \nL 67.435137 160.345965 \nL 69.857824 158.222657 \nL 72.506495 156.159564 \nL 75.380304 154.1576 \nL 79.286939 151.74201 \nL 83.539027 149.423429 \nL 88.131138 147.201772 \nL 93.056364 145.076371 \nL 98.306417 143.046038 \nL 103.871579 141.109145 \nL 110.950038 138.905379 \nL 118.444518 136.829293 \nL 126.330586 134.876501 \nL 134.581195 133.042426 \nL 144.628173 131.046613 \nL 155.080299 129.199252 \nL 167.451321 127.261901 \nL 180.192673 125.503048 \nL 193.211966 123.9178 \nL 208.070454 122.33965 \nL 223.015946 120.98123 \nL 237.90273 119.850545 \nL 252.58372 118.961301 \nL 266.912522 118.332597 \nL 279.237387 118.011686 \nL 291.072794 117.934824 \nL 300.953746 118.084362 \nL 310.329278 118.451766 \nL 317.921115 118.951469 \nL 325.068575 119.63157 \nL 331.741979 120.500997 \nL 336.921533 121.37618 \nL 341.739227 122.393042 \nL 346.182632 123.555497 \nL 350.240956 124.866899 \nL 353.204141 126.025108 \nL 355.911043 127.281448 \nL 358.358461 128.636659 \nL 360.543903 130.091138 \nL 362.465527 131.64493 \nL 364.122247 133.297697 \nL 365.513663 135.048711 \nL 366.640061 136.896838 \nL 367.502401 138.84053 \nL 368.102342 140.877815 \nL 368.442113 143.006288 \nL 368.524594 145.22311 \nL 368.353274 147.525013 \nL 367.932188 149.90829 \nL 367.265887 152.368808 \nL 366.359459 154.902014 \nL 365.218403 157.502941 \nL 363.471232 160.841116 \nL 361.379203 164.265363 \nL 358.955555 167.76346 \nL 356.214181 171.32236 \nL 353.169555 174.928246 \nL 349.836552 178.566611 \nL 345.477697 182.954207 \nL 340.752009 187.339707 \nL 335.686093 191.695183 \nL 330.306383 195.992127 \nL 324.638892 200.201695 \nL 318.708977 204.294977 \nL 312.541159 208.243284 \nL 306.158997 212.018425 \nL 300.693032 215.012274 \nL 295.106221 217.851478 \nL 289.410363 220.521323 \nL 283.616656 223.007804 \nL 277.735712 225.297748 \nL 271.777579 227.378885 \nL 265.751749 229.239954 \nL 259.667201 230.870781 \nL 253.532435 232.26235 \nL 247.355533 233.406885 \nL 241.144211 234.297896 \nL 234.905885 234.93022 \nL 228.647734 235.300083 \nL 222.376774 235.405131 \nL 216.099939 235.244416 \nL 209.824147 234.818406 \nL 203.556382 234.129033 \nL 197.303772 233.179618 \nL 191.073651 231.974889 \nL 184.873645 230.520914 \nL 178.71173 228.825067 \nL 172.596295 226.895994 \nL 166.536192 224.743524 \nL 160.540803 222.378594 \nL 154.620047 219.813185 \nL 148.784437 217.060228 \nL 143.045091 214.133515 \nL 137.413746 211.047583 \nL 130.816118 207.155767 \nL 124.414302 203.083907 \nL 118.231958 198.860179 \nL 112.293834 194.513355 \nL 106.625599 190.072526 \nL 101.253755 185.566831 \nL 96.205333 181.025179 \nL 91.507679 176.475994 \nL 87.188259 171.946973 \nL 83.897343 168.207492 \nL 80.903516 164.515415 \nL 78.221905 160.884908 \nL 75.867144 157.329404 \nL 73.853195 153.861522 \nL 72.193262 150.493013 \nL 71.128525 147.877062 \nL 70.304086 145.336756 \nL 69.725321 142.876781 \nL 69.397087 140.501409 \nL 69.323752 138.214482 \nL 69.509044 136.01941 \nL 69.956118 133.91917 \nL 70.667536 131.91631 \nL 71.645149 130.012939 \nL 72.89017 128.210745 \nL 74.403102 126.511002 \nL 76.183728 124.914572 \nL 78.231155 123.421922 \nL 80.543714 122.033143 \nL 83.119028 120.747959 \nL 85.954008 119.565753 \nL 89.044815 118.485582 \nL 93.261093 117.276932 \nL 97.859526 116.222721 \nL 102.82804 115.319321 \nL 108.152937 114.562586 \nL 114.991703 113.841651 \nL 122.292597 113.316775 \nL 130.023774 112.978948 \nL 139.541294 112.808796 \nL 149.539073 112.865721 \nL 159.955063 113.135213 \nL 172.287618 113.685868 \nL 184.98072 114.47742 \nL 197.931062 115.49355 \nL 212.677309 116.888566 \nL 227.46747 118.536735 \nL 240.532062 120.207076 \nL 253.414169 122.067807 \nL 266.016567 124.119456 \nL 276.741251 126.073793 \nL 287.122157 128.180474 \nL 297.104347 130.444217 \nL 305.304517 132.513675 \nL 313.144924 134.706108 \nL 320.598713 137.025104 \nL 327.641694 139.474037 \nL 333.181542 141.616227 \nL 338.410351 143.852117 \nL 343.31869 146.18274 \nL 347.898544 148.608682 \nL 352.143337 151.130014 \nL 356.047926 153.746229 \nL 359.608593 156.456175 \nL 362.207906 158.6904 \nL 364.585053 160.982157 \nL 366.740036 163.329839 \nL 368.67339 165.731507 \nL 370.386181 168.184881 \nL 371.879961 170.687336 \nL 373.156756 173.235892 \nL 374.219081 175.82721 \nL 375.069839 178.4576 \nL 375.71237 181.123018 \nL 376.150377 183.819063 \nL 376.387921 186.540996 \nL 376.429356 189.28374 \nL 376.279336 192.041902 \nL 375.942778 194.809768 \nL 375.267582 198.274087 \nL 374.319364 201.731862 \nL 373.108907 205.170167 \nL 371.647231 208.575537 \nL 369.945578 211.934042 \nL 368.015184 215.231372 \nL 365.867325 218.452935 \nL 363.513148 221.583934 \nL 360.963628 224.609469 \nL 358.229491 227.514644 \nL 355.321141 230.284649 \nL 352.248594 232.904902 \nL 349.021466 235.361127 \nL 345.648903 237.639456 \nL 342.139549 239.726526 \nL 338.501522 241.609602 \nL 334.742414 243.276658 \nL 330.869257 244.716464 \nL 326.888578 245.918678 \nL 322.806358 246.873938 \nL 318.628062 247.573876 \nL 314.358675 248.011292 \nL 310.002764 248.180084 \nL 305.56447 248.075381 \nL 301.047564 247.693545 \nL 296.455522 247.032218 \nL 291.791569 246.090322 \nL 287.058752 244.868085 \nL 282.259992 243.367014 \nL 277.398171 241.589907 \nL 272.476191 239.540819 \nL 267.49705 237.225039 \nL 262.463925 234.649048 \nL 257.380242 231.82047 \nL 251.218386 228.105106 \nL 244.996388 224.055661 \nL 238.722478 219.691116 \nL 232.406046 215.032275 \nL 226.05779 210.101537 \nL 218.627535 204.037201 \nL 211.192468 197.675106 \nL 203.777558 191.0569 \nL 195.364283 183.234815 \nL 187.061262 175.199939 \nL 178.920898 167.018495 \nL 171.000635 158.756587 \nL 163.362464 150.479428 \nL 156.072176 142.250621 \nL 149.198531 134.131487 \nL 143.581312 127.163236 \nL 138.384808 120.360756 \nL 134.301422 114.688401 \nL 130.591141 109.183819 \nL 127.282182 103.866025 \nL 124.850743 99.58987 \nL 122.731405 95.464876 \nL 120.937865 91.499551 \nL 119.482718 87.701611 \nL 118.569933 84.788448 \nL 117.886184 81.99002 \nL 117.436057 79.309172 \nL 117.223496 76.748404 \nL 117.251737 74.309917 \nL 117.523352 71.995553 \nL 118.040137 69.806889 \nL 118.803177 67.745182 \nL 119.812713 65.811389 \nL 121.068253 64.006182 \nL 122.568505 62.329978 \nL 124.311331 60.782919 \nL 126.293804 59.364924 \nL 128.51218 58.075693 \nL 130.961925 56.914686 \nL 133.637705 55.881193 \nL 136.533432 54.974348 \nL 140.451878 54.017308 \nL 144.688256 53.254263 \nL 149.225908 52.682673 \nL 154.046598 52.299791 \nL 159.130602 52.102776 \nL 164.456877 52.088668 \nL 171.136772 52.309046 \nL 178.092929 52.783541 \nL 185.283049 53.507309 \nL 192.663391 54.4758 \nL 200.189193 55.684824 \nL 207.815073 57.130626 \nL 215.495444 58.809912 \nL 223.184923 60.719874 \nL 230.838734 62.858193 \nL 238.413098 65.222919 \nL 245.865586 67.81254 \nL 251.953466 70.141462 \nL 257.905913 72.625096 \nL 263.70154 75.262883 \nL 269.320174 78.054266 \nL 274.742948 80.998624 \nL 279.952395 84.095201 \nL 284.932542 87.343048 \nL 289.668932 90.740966 \nL 294.148708 94.287423 \nL 297.540159 97.230271 \nL 300.755162 100.265773 \nL 303.789413 103.392526 \nL 306.639268 106.608891 \nL 309.301774 109.912986 \nL 311.774649 113.30265 \nL 314.056258 116.775438 \nL 316.145623 120.328594 \nL 318.04239 123.959048 \nL 319.746834 127.663389 \nL 321.259789 131.43787 \nL 322.582661 135.278385 \nL 323.717405 139.180469 \nL 324.666492 143.139284 \nL 325.432837 147.149628 \nL 326.019835 151.205926 \nL 326.507178 156.331832 \nL 326.728417 161.507822 \nL 326.69255 166.720625 \nL 326.409307 171.95613 \nL 325.888921 177.199436 \nL 325.142127 182.434895 \nL 324.179984 187.646183 \nL 323.013808 192.816357 \nL 321.655012 197.92794 \nL 320.115062 202.963003 \nL 318.405348 207.903278 \nL 316.53713 212.730239 \nL 314.521386 217.425207 \nL 312.368799 221.969499 \nL 310.089659 226.344515 \nL 307.693858 230.53185 \nL 305.190782 234.513491 \nL 302.589291 238.271833 \nL 299.897693 241.789889 \nL 297.123727 245.051392 \nL 294.274546 248.040915 \nL 291.356706 250.743996 \nL 288.376182 253.147228 \nL 285.950276 254.845669 \nL 283.490224 256.33869 \nL 280.998313 257.621164 \nL 278.476622 258.688548 \nL 275.927028 259.536882 \nL 273.35124 260.162865 \nL 270.750773 260.563795 \nL 268.126998 260.737644 \nL 265.481163 260.683056 \nL 262.814372 260.399316 \nL 260.127644 259.886404 \nL 257.421911 259.144977 \nL 254.698044 258.176335 \nL 251.956876 256.982455 \nL 249.199223 255.565939 \nL 246.425895 253.930065 \nL 242.938465 251.582687 \nL 239.429587 248.907493 \nL 235.901166 245.914728 \nL 232.355341 242.615907 \nL 228.794542 239.02379 \nL 224.505765 234.345612 \nL 220.205041 229.290857 \nL 215.898921 223.887086 \nL 211.595025 218.163398 \nL 206.588414 211.121937 \nL 201.612928 203.736077 \nL 196.687048 196.056673 \nL 191.145174 186.986692 \nL 185.730617 177.677041 \nL 180.482465 168.20329 \nL 175.443432 158.639047 \nL 170.659398 149.055152 \nL 166.720535 140.706193 \nL 163.047453 132.436466 \nL 159.674227 124.285992 \nL 157.047422 117.423073 \nL 154.687179 110.696877 \nL 152.61413 104.127497 \nL 150.848059 97.733344 \nL 149.624322 92.550871 \nL 148.636778 87.510547 \nL 147.89469 82.620369 \nL 147.406398 77.887555 \nL 147.179236 73.318534 \nL 147.219425 68.919013 \nL 147.447473 65.524797 \nL 147.85182 62.244475 \nL 148.43389 59.079988 \nL 149.194512 56.033008 \nL 150.133949 53.104989 \nL 151.251818 50.297117 \nL 152.547135 47.610375 \nL 154.018266 45.045516 \nL 155.662941 42.603123 \nL 157.478244 40.283588 \nL 159.460608 38.087148 \nL 161.605849 36.013894 \nL 163.909125 34.063788 \nL 166.364981 32.236689 \nL 168.967374 30.532342 \nL 172.416239 28.574053 \nL 176.069424 26.806306 \nL 179.911423 25.228251 \nL 183.925507 23.838959 \nL 188.09385 22.637506 \nL 192.397618 21.622992 \nL 196.817096 20.794556 \nL 201.331813 20.151464 \nL 205.920678 19.693069 \nL 210.562117 19.418866 \nL 216.170369 19.332504 \nL 221.78455 19.510647 \nL 226.439966 19.861214 \nL 231.050968 20.395752 \nL 235.595893 21.11465 \nL 240.053532 22.018467 \nL 244.403264 23.107857 \nL 248.625199 24.383574 \nL 252.700293 25.84645 \nL 256.610473 27.497326 \nL 260.338756 29.337053 \nL 263.869345 31.36641 \nL 267.187721 33.586096 \nL 269.680731 35.499255 \nL 272.023372 37.534766 \nL 274.210162 39.692718 \nL 276.236237 41.973102 \nL 278.097343 44.375758 \nL 279.789879 46.900386 \nL 281.310865 49.546524 \nL 282.657994 52.313518 \nL 283.82956 55.200534 \nL 284.824501 58.206511 \nL 285.642388 61.330156 \nL 286.283387 64.569953 \nL 286.748257 67.924114 \nL 287.038338 71.390585 \nL 287.158047 75.878036 \nL 287.012446 80.532104 \nL 286.607556 85.346847 \nL 285.950511 90.315563 \nL 285.049445 95.430754 \nL 283.913397 100.684127 \nL 282.552176 106.066556 \nL 280.636349 112.681777 \nL 278.430665 119.449748 \nL 275.955223 126.350041 \nL 272.753918 134.538061 \nL 269.247056 142.838197 \nL 265.468117 151.209767 \nL 261.450131 159.609455 \nL 256.606548 169.184811 \nL 251.538348 178.665655 \nL 246.288312 187.977679 \nL 240.895767 197.044571 \nL 236.088412 204.716217 \nL 231.220475 212.089068 \nL 226.310839 219.111799 \nL 222.081977 224.814548 \nL 217.843731 230.192602 \nL 213.60402 235.216635 \nL 209.369692 239.858876 \nL 205.849465 243.416987 \nL 202.340019 246.678021 \nL 198.843943 249.629171 \nL 195.363524 252.258918 \nL 191.900808 254.557004 \nL 189.144638 256.150707 \nL 186.401889 257.522625 \nL 183.673429 258.669543 \nL 180.960121 259.588893 \nL 178.26284 260.278744 \nL 175.582501 260.737847 \nL 172.920067 260.96561 \nL 170.276581 260.962157 \nL 167.653186 260.728274 \nL 165.05113 260.265416 \nL 162.471803 259.575724 \nL 159.916732 258.66198 \nL 157.387616 257.52762 \nL 154.886334 256.176708 \nL 152.414963 254.613894 \nL 149.975777 252.844447 \nL 147.571264 250.87415 \nL 144.618546 248.138515 \nL 141.730102 245.1124 \nL 138.912306 241.81031 \nL 136.172155 238.247754 \nL 133.517218 234.441086 \nL 130.955636 230.407391 \nL 128.496104 226.164379 \nL 126.147867 221.73025 \nL 123.920647 217.123551 \nL 121.422087 211.394174 \nL 119.130805 205.475985 \nL 117.39341 200.423423 \nL 115.824385 195.281018 \nL 114.435153 190.067164 \nL 113.237147 184.799854 \nL 112.241788 179.496614 \nL 111.460363 174.174416 \nL 110.903927 168.849589 \nL 110.58317 163.537758 \nL 110.508281 158.253789 \nL 110.68893 153.011738 \nL 111.134038 147.824811 \nL 111.686027 143.723274 \nL 112.41623 139.670821 \nL 113.327975 135.672983 \nL 114.424143 131.734914 \nL 115.707123 127.861396 \nL 117.178814 124.05685 \nL 118.840565 120.325324 \nL 120.693153 116.67052 \nL 122.736773 113.095796 \nL 124.970989 109.604174 \nL 127.394757 106.198357 \nL 130.006366 102.880743 \nL 132.803451 99.653455 \nL 135.78298 96.518338 \nL 138.941238 93.476982 \nL 142.273835 90.530755 \nL 145.775695 87.680822 \nL 150.382251 84.255274 \nL 155.231587 80.983219 \nL 160.309451 77.865876 \nL 165.600031 74.904169 \nL 171.086041 72.098857 \nL 176.748808 69.450531 \nL 182.568343 66.959724 \nL 188.52344 64.62694 \nL 195.817023 62.036992 \nL 203.233262 59.676525 \nL 210.730066 57.546929 \nL 218.263985 55.649941 \nL 225.790583 53.98772 \nL 233.264826 52.562871 \nL 240.641486 51.378467 \nL 247.875548 50.438013 \nL 254.922613 49.745452 \nL 261.739325 49.30507 \nL 268.283769 49.121453 \nL 274.515866 49.199358 \nL 279.443277 49.467521 \nL 284.106869 49.923428 \nL 288.487436 50.569744 \nL 292.567261 51.409028 \nL 296.330251 52.443645 \nL 299.102776 53.413393 \nL 301.65672 54.510426 \nL 303.98627 55.735524 \nL 306.086394 57.089287 \nL 307.952851 58.572151 \nL 309.582199 60.184327 \nL 310.971786 61.925825 \nL 312.11977 63.796405 \nL 313.025124 65.795555 \nL 313.687583 67.922538 \nL 314.107697 70.17631 \nL 314.286781 72.555543 \nL 314.226858 75.058624 \nL 313.930695 77.683614 \nL 313.401756 80.428274 \nL 312.644147 83.290047 \nL 311.662612 86.26606 \nL 310.128974 90.141803 \nL 308.265421 94.184049 \nL 306.084747 98.385044 \nL 303.600828 102.736252 \nL 300.24071 108.142861 \nL 296.49223 113.734899 \nL 292.383644 119.493401 \nL 287.174008 126.394787 \nL 281.560906 133.460348 \nL 274.712529 141.688901 \nL 267.468621 150.025422 \nL 259.896864 158.408786 \nL 252.06185 166.775561 \nL 244.024211 175.060648 \nL 235.839949 183.197984 \nL 227.559976 191.121299 \nL 219.22983 198.764904 \nL 211.931451 205.173027 \nL 204.648937 211.276094 \nL 197.402788 217.034245 \nL 191.23423 221.666674 \nL 185.11507 225.995839 \nL 179.053713 230.001245 \nL 173.057472 233.6642 \nL 168.114993 236.44299 \nL 163.22549 238.963853 \nL 158.39199 241.219414 \nL 153.617314 243.203447 \nL 148.904134 244.91093 \nL 144.255074 246.338099 \nL 139.672756 247.48244 \nL 135.159909 248.342757 \nL 130.719396 248.919138 \nL 126.354316 249.212974 \nL 122.068031 249.22694 \nL 117.864255 248.965011 \nL 113.747048 248.432369 \nL 109.720967 247.635424 \nL 105.790996 246.581714 \nL 101.962623 245.279899 \nL 98.241863 243.73964 \nL 94.635267 241.971584 \nL 91.149958 239.987206 \nL 87.793585 237.79879 \nL 84.574346 235.419336 \nL 81.500964 232.862394 \nL 78.582633 230.142035 \nL 75.829025 227.272712 \nL 73.250224 224.269175 \nL 70.856704 221.146341 \nL 68.659212 217.919216 \nL 66.668735 214.602776 \nL 64.896468 211.211885 \nL 63.353626 207.761169 \nL 62.051471 204.26496 \nL 61.001129 200.73718 \nL 60.213575 197.191272 \nL 59.699489 193.640131 \nL 59.492039 190.803707 \nL 59.471241 187.977767 \nL 59.641921 185.167978 \nL 60.00864 182.379701 \nL 60.575641 179.617972 \nL 61.346856 176.887487 \nL 62.325853 174.192597 \nL 63.51581 171.537313 \nL 64.919483 168.925288 \nL 66.539216 166.359819 \nL 68.37686 163.843854 \nL 70.433766 161.379991 \nL 72.710813 158.970485 \nL 75.208287 156.617258 \nL 77.925994 154.321907 \nL 80.863144 152.085721 \nL 84.841033 149.375168 \nL 89.15572 146.759908 \nL 93.801831 144.240636 \nL 98.77254 141.817481 \nL 104.059581 139.490071 \nL 109.653212 137.257604 \nL 115.542297 135.118926 \nL 122.981433 132.674278 \nL 130.803582 130.359766 \nL 138.981719 128.172331 \nL 147.486221 126.10887 \nL 157.777677 123.854288 \nL 168.414711 121.760408 \nL 179.338639 119.824124 \nL 192.094666 117.801925 \nL 205.047044 115.982961 \nL 218.094683 114.369936 \nL 231.133717 112.968768 \nL 244.058666 111.788632 \nL 256.763674 110.841904 \nL 269.14376 110.143897 \nL 281.096161 109.712463 \nL 291.125531 109.569207 \nL 300.687876 109.659404 \nL 308.466857 109.933576 \nL 315.823151 110.399144 \nL 322.723876 111.065058 \nL 328.104649 111.779187 \nL 333.13224 112.642953 \nL 337.792346 113.660541 \nL 342.072286 114.835633 \nL 345.961062 116.171349 \nL 348.784163 117.35725 \nL 351.347014 118.648471 \nL 353.646425 120.045626 \nL 355.679949 121.548984 \nL 357.445848 123.158453 \nL 358.943173 124.873571 \nL 360.171672 126.693479 \nL 361.131804 128.616913 \nL 361.824768 130.642194 \nL 362.252428 132.767224 \nL 362.417323 134.98947 \nL 362.32263 137.305974 \nL 361.972146 139.713343 \nL 361.370239 142.207751 \nL 360.521825 144.784951 \nL 359.432345 147.440274 \nL 358.10769 150.168642 \nL 356.130819 153.673442 \nL 353.809593 157.272258 \nL 351.158052 160.95267 \nL 348.190877 164.701432 \nL 344.923319 168.504543 \nL 340.627818 173.119285 \nL 335.949888 177.764577 \nL 330.91738 182.412862 \nL 325.558102 187.035773 \nL 319.899563 191.604398 \nL 313.968711 196.08951 \nL 307.791786 200.461857 \nL 301.394063 204.692422 \nL 294.799734 208.752689 \nL 288.031804 212.614949 \nL 282.274982 215.662956 \nL 276.424622 218.540165 \nL 270.49198 221.232574 \nL 264.487694 223.727021 \nL 258.421797 226.011262 \nL 252.303761 228.074093 \nL 246.142512 229.905389 \nL 239.946494 231.496223 \nL 233.723721 232.83889 \nL 227.481835 233.927006 \nL 221.228172 234.755486 \nL 214.96984 235.320664 \nL 208.713783 235.620284 \nL 202.46686 235.653502 \nL 196.235928 235.420904 \nL 190.027905 234.924508 \nL 183.849857 234.167751 \nL 177.709065 233.155459 \nL 171.613093 231.893761 \nL 165.569846 230.39014 \nL 159.587652 228.6533 \nL 153.675271 226.693116 \nL 147.841987 224.520578 \nL 142.097599 222.1477 \nL 136.452488 219.587419 \nL 130.917603 216.853515 \nL 125.50445 213.960503 \nL 120.225155 210.92354 \nL 114.084543 207.111266 \nL 108.177816 203.142156 \nL 102.52887 199.04465 \nL 97.162389 194.847499 \nL 92.10379 190.579478 \nL 87.378994 186.269109 \nL 83.014102 181.944411 \nL 79.670512 178.349238 \nL 76.610016 174.778304 \nL 73.847352 171.246284 \nL 71.396847 167.767186 \nL 69.272404 164.354285 \nL 67.487251 161.020048 \nL 66.311826 158.417118 \nL 65.367529 155.877484 \nL 64.659953 153.406264 \nL 64.194265 151.00817 \nL 63.975141 148.687495 \nL 64.006767 146.44811 \nL 64.292765 144.293451 \nL 64.836224 142.226526 \nL 65.639591 140.249906 \nL 66.704716 138.36573 \nL 68.032825 136.575713 \nL 69.624443 134.88115 \nL 71.479466 133.282928 \nL 73.597049 131.781538 \nL 75.975729 130.377088 \nL 78.613309 129.069317 \nL 81.506864 127.857624 \nL 85.47827 126.476668 \nL 89.835513 125.241881 \nL 94.568473 124.15011 \nL 99.665396 123.197629 \nL 105.113021 122.380192 \nL 112.092272 121.570944 \nL 119.527138 120.94077 \nL 127.386828 120.480546 \nL 137.048953 120.145914 \nL 147.187457 120.014956 \nL 159.280433 120.096131 \nL 171.822767 120.404145 \nL 186.3477 120.999263 \nL 201.173365 121.836776 \nL 216.153851 122.900064 \nL 231.143085 124.178159 \nL 245.996805 125.665935 \nL 260.574461 127.363982 \nL 273.191285 129.054504 \nL 285.39308 130.922859 \nL 295.662435 132.710901 \nL 305.496189 134.649621 \nL 313.541291 136.437293 \nL 321.202209 138.34656 \nL 328.453247 140.382393 \nL 335.271376 142.549442 \nL 340.607718 144.45855 \nL 345.61905 146.463675 \nL 350.296523 148.566405 \nL 354.632705 150.767826 \nL 358.621559 153.068453 \nL 362.258511 155.468163 \nL 364.912521 157.458745 \nL 367.338262 159.511466 \nL 369.535308 161.62524 \nL 371.503798 163.798641 \nL 373.244383 166.029902 \nL 374.758252 168.316893 \nL 376.047098 170.657122 \nL 377.113059 173.047727 \nL 377.958775 175.485484 \nL 378.587322 177.966784 \nL 379.002154 180.487661 \nL 379.2071 183.043786 \nL 379.20638 185.630471 \nL 379.004498 188.242683 \nL 378.606256 190.875059 \nL 378.01672 193.521905 \nL 377.018846 196.841684 \nL 375.741091 200.162406 \nL 374.19451 203.471128 \nL 372.390492 206.754372 \nL 370.340572 209.998159 \nL 368.056322 213.188138 \nL 365.549347 216.309644 \nL 362.831137 219.347811 \nL 359.913011 222.287671 \nL 356.80605 225.114224 \nL 353.520976 227.81259 \nL 350.068173 230.368089 \nL 346.457598 232.766335 \nL 342.698764 234.993344 \nL 338.80067 237.035683 \nL 334.771821 238.880494 \nL 330.620211 240.515642 \nL 326.353282 241.929802 \nL 321.977964 243.112515 \nL 317.500703 244.054314 \nL 312.927401 244.74676 \nL 308.263586 245.182511 \nL 303.514304 245.355403 \nL 298.684274 245.260487 \nL 293.777878 244.894033 \nL 288.79924 244.253624 \nL 283.752281 243.338126 \nL 278.640774 242.1477 \nL 273.46844 240.683832 \nL 268.238995 238.949294 \nL 262.956248 236.948135 \nL 257.624168 234.68564 \nL 252.246939 232.168327 \nL 246.829067 229.403857 \nL 241.375425 226.401015 \nL 234.791387 222.496876 \nL 228.173758 218.282549 \nL 221.533973 213.778759 \nL 214.884833 209.007914 \nL 208.240619 203.993888 \nL 200.516511 197.870452 \nL 192.848774 191.492026 \nL 185.268534 184.901847 \nL 177.810018 178.144171 \nL 170.510477 171.263837 \nL 162.414321 163.308069 \nL 155.593613 156.315889 \nL 149.065913 149.340805 \nL 142.877909 142.425454 \nL 137.077383 135.610939 \nL 131.712554 128.936498 \nL 127.497282 123.355187 \nL 123.666994 117.92596 \nL 120.250423 112.669286 \nL 117.739149 108.434244 \nL 115.549272 104.342304 \nL 113.694854 100.402751 \nL 112.188862 96.624054 \nL 111.242874 93.722045 \nL 110.532794 90.931375 \nL 110.063413 88.255189 \nL 109.838881 85.696285 \nL 109.862651 83.257121 \nL 110.137479 80.939804 \nL 110.665377 78.746096 \nL 111.447626 76.677433 \nL 112.484705 74.734926 \nL 113.776284 72.919393 \nL 115.321241 71.231322 \nL 117.117645 69.670952 \nL 119.162728 68.238222 \nL 121.452906 66.932838 \nL 123.983789 65.75426 \nL 126.750174 64.701763 \nL 129.746099 63.774399 \nL 133.803434 62.789445 \nL 138.194028 61.995768 \nL 142.901348 61.390561 \nL 147.907244 60.970795 \nL 153.192044 60.733238 \nL 159.872221 60.684008 \nL 166.884864 60.886629 \nL 174.188944 61.335336 \nL 181.741564 62.024585 \nL 189.498344 62.949116 \nL 197.413818 64.104092 \nL 205.441844 65.485114 \nL 213.536023 67.088319 \nL 221.650092 68.910388 \nL 229.738333 70.948547 \nL 237.755952 73.20053 \nL 245.65945 75.664557 \nL 253.406966 78.339224 \nL 259.715236 80.728216 \nL 265.865558 83.262182 \nL 271.837239 85.940617 \nL 277.610892 88.762991 \nL 283.16853 91.728687 \nL 288.493627 94.836936 \nL 293.571194 98.086744 \nL 298.387808 101.476821 \nL 302.93168 105.005517 \nL 306.363531 107.926894 \nL 309.609879 110.934381 \nL 312.666985 114.026446 \nL 315.531779 117.201327 \nL 318.201865 120.456994 \nL 320.675477 123.791131 \nL 322.951564 127.201117 \nL 325.029667 130.68402 \nL 326.909959 134.236576 \nL 328.593182 137.855181 \nL 330.080662 141.535881 \nL 331.374276 145.274363 \nL 332.476378 149.065952 \nL 333.389861 152.905608 \nL 334.11804 156.787922 \nL 334.664632 160.707126 \nL 335.098821 165.648634 \nL 335.264516 170.625435 \nL 335.171241 175.623958 \nL 334.829138 180.629841 \nL 334.248817 185.627994 \nL 333.441312 190.602636 \nL 332.417918 195.537394 \nL 331.190128 200.415346 \nL 329.769441 205.219126 \nL 328.167385 209.931023 \nL 326.395335 214.533076 \nL 324.464461 219.007163 \nL 322.385649 223.335142 \nL 320.16944 227.498952 \nL 317.82593 231.480752 \nL 315.364758 235.262978 \nL 312.79507 238.828572 \nL 310.125424 242.161028 \nL 307.363829 245.24452 \nL 304.517695 248.064055 \nL 301.593841 250.605553 \nL 298.598482 252.855995 \nL 296.154506 254.438735 \nL 293.670975 255.822032 \nL 291.150291 257.000902 \nL 288.594597 257.970898 \nL 286.005855 258.72816 \nL 283.38583 259.269454 \nL 280.736096 259.592152 \nL 278.058057 259.694215 \nL 275.352979 259.574325 \nL 272.621986 259.231755 \nL 269.86608 258.666435 \nL 267.08618 257.878957 \nL 264.283125 256.870571 \nL 261.4577 255.643136 \nL 258.610656 254.199158 \nL 255.022585 252.094465 \nL 251.403372 249.663718 \nL 247.754584 246.91572 \nL 244.077949 243.860558 \nL 240.375419 240.509567 \nL 236.649231 236.87526 \nL 232.150252 232.15925 \nL 227.62621 227.080071 \nL 223.083342 221.664632 \nL 217.769387 214.959569 \nL 212.453568 207.882569 \nL 207.152019 200.482283 \nL 201.134654 191.692651 \nL 195.192437 182.620389 \nL 189.361824 173.340014 \nL 183.683551 163.924868 \nL 178.202283 154.446265 \nL 172.966152 144.972756 \nL 168.026091 135.5695 \nL 163.987999 127.447521 \nL 160.253273 119.464573 \nL 156.85818 111.656242 \nL 154.245547 105.127254 \nL 151.93061 98.769555 \nL 149.934354 92.600423 \nL 148.528548 87.614886 \nL 147.368467 82.779424 \nL 146.463942 78.101485 \nL 145.823824 73.587742 \nL 145.455927 69.244155 \nL 145.366871 65.075922 \nL 145.500043 61.870662 \nL 145.817278 58.78253 \nL 146.320108 55.813287 \nL 147.009488 52.964403 \nL 147.885743 50.237128 \nL 148.948571 47.63247 \nL 150.197011 45.151228 \nL 151.629439 42.794011 \nL 153.243575 40.561218 \nL 155.036468 38.453098 \nL 157.004495 36.469738 \nL 159.14339 34.611078 \nL 161.448209 32.876948 \nL 163.913401 31.267065 \nL 166.532762 29.781067 \nL 170.013361 28.097078 \nL 173.709664 26.604943 \nL 177.605803 25.303579 \nL 181.684673 24.191854 \nL 185.928032 23.268617 \nL 190.316625 22.532769 \nL 194.830295 21.983265 \nL 199.448121 21.619157 \nL 204.148557 21.439632 \nL 209.867078 21.466935 \nL 215.634127 21.758238 \nL 221.410686 22.313064 \nL 226.203626 22.976631 \nL 230.953752 23.823213 \nL 235.639065 24.853101 \nL 240.238062 26.066694 \nL 244.729869 27.464516 \nL 249.094386 29.047175 \nL 253.312394 30.815321 \nL 257.365698 32.769633 \nL 261.237215 34.91075 \nL 264.911075 37.239239 \nL 267.698029 39.23721 \nL 270.342327 41.355532 \nL 272.837726 43.594232 \nL 275.178606 45.953264 \nL 277.359965 48.432444 \nL 279.377425 51.031433 \nL 281.227246 53.749764 \nL 282.906336 56.586737 \nL 284.412231 59.5415 \nL 285.743112 62.612957 \nL 286.897802 65.799814 \nL 287.875719 69.100487 \nL 288.676913 72.513167 \nL 289.302024 76.035758 \nL 289.752243 79.665858 \nL 290.029323 83.400789 \nL 290.135712 88.212256 \nL 289.980679 93.176229 \nL 289.570873 98.285314 \nL 288.913947 103.531306 \nL 288.018478 108.905144 \nL 286.893846 114.396907 \nL 285.550119 119.995818 \nL 283.663505 126.839511 \nL 281.496072 133.799003 \nL 279.067805 140.850875 \nL 276.399108 147.970067 \nL 273.009177 156.32528 \nL 269.352451 164.691078 \nL 265.460759 173.020299 \nL 261.364836 181.263732 \nL 257.09398 189.370494 \nL 252.67572 197.2885 \nL 248.135586 204.964977 \nL 243.496945 212.346967 \nL 238.780903 219.381995 \nL 234.691299 225.09684 \nL 230.569203 230.487554 \nL 226.423953 235.52395 \nL 222.263769 240.177385 \nL 218.790748 243.743298 \nL 215.316012 247.010185 \nL 211.842807 249.964772 \nL 208.374025 252.595023 \nL 204.912259 254.890231 \nL 202.149478 256.478878 \nL 199.393805 257.843047 \nL 196.646299 258.97932 \nL 193.907986 259.884899 \nL 191.179872 260.557693 \nL 188.462976 260.996269 \nL 185.758347 261.199891 \nL 183.067071 261.168515 \nL 180.390316 260.902805 \nL 177.729331 260.404098 \nL 175.085474 259.674431 \nL 172.460224 258.716514 \nL 169.8552 257.533713 \nL 167.272203 256.130029 \nL 164.713171 254.510112 \nL 162.180265 252.679188 \nL 159.054455 250.102692 \nL 155.978186 247.218111 \nL 152.95705 244.039162 \nL 149.997204 240.580706 \nL 147.105381 236.858567 \nL 144.288883 232.889457 \nL 141.555603 228.690831 \nL 138.914004 224.280772 \nL 135.877816 218.735785 \nL 133.003149 212.945856 \nL 130.30752 206.944166 \nL 127.809263 200.764031 \nL 125.527391 194.438598 \nL 123.481473 188.000566 \nL 121.971086 182.57263 \nL 120.649877 177.106748 \nL 119.529333 171.620388 \nL 118.620755 166.130398 \nL 117.935223 160.652938 \nL 117.483415 155.203401 \nL 117.27553 149.796381 \nL 117.321104 144.445625 \nL 117.629033 139.163998 \nL 118.06967 134.996543 \nL 118.687024 130.88671 \nL 119.484342 126.839828 \nL 120.464402 122.860846 \nL 121.62952 118.954345 \nL 122.981462 115.12453 \nL 124.521463 111.375255 \nL 126.250174 107.710015 \nL 128.167653 104.131961 \nL 130.273328 100.643926 \nL 132.56601 97.248421 \nL 135.043836 93.947665 \nL 137.704289 90.743596 \nL 140.544175 87.637889 \nL 143.559634 84.631965 \nL 146.746116 81.727047 \nL 150.098402 78.924138 \nL 153.610603 76.224068 \nL 158.215696 72.994614 \nL 163.04619 69.927904 \nL 168.08634 67.024681 \nL 173.318969 64.285504 \nL 178.72551 61.710788 \nL 184.286113 59.30087 \nL 189.979744 57.056078 \nL 195.784294 54.976739 \nL 202.863647 52.700526 \nL 210.028122 50.664129 \nL 217.23502 48.868814 \nL 224.440681 47.31622 \nL 231.600866 46.008445 \nL 238.671169 44.947969 \nL 245.607408 44.137732 \nL 252.366051 43.581063 \nL 258.904621 43.281657 \nL 265.18209 43.243417 \nL 270.185521 43.414069 \nL 274.958865 43.77141 \nL 279.481791 44.317877 \nL 283.735331 45.055833 \nL 287.701952 45.987554 \nL 291.365704 47.115113 \nL 294.068976 48.159427 \nL 296.562723 49.331106 \nL 298.841142 50.63084 \nL 300.899231 52.05917 \nL 302.732713 53.616466 \nL 304.338125 55.30289 \nL 305.71278 57.118432 \nL 306.854773 59.062834 \nL 307.762997 61.13562 \nL 308.437101 63.336053 \nL 308.87751 65.663151 \nL 309.0854 68.115639 \nL 309.06267 70.691994 \nL 308.811933 73.390363 \nL 308.336475 76.208597 \nL 307.640223 79.144268 \nL 306.466405 82.974788 \nL 304.964866 86.978427 \nL 303.147036 91.148369 \nL 301.025497 95.477026 \nL 298.097922 100.869103 \nL 294.777741 106.461818 \nL 291.091534 112.237786 \nL 286.365337 119.182796 \nL 281.223885 126.319179 \nL 275.713015 133.612132 \nL 269.021221 142.091022 \nL 261.97379 150.667416 \nL 253.700765 160.355742 \nL 245.14641 169.998434 \nL 236.390923 179.501645 \nL 228.498159 187.754802 \nL 220.549131 195.755398 \nL 212.583776 203.437153 \nL 205.62802 209.846246 \nL 198.70627 215.919921 \nL 192.813456 220.828705 \nL 186.967501 225.43806 \nL 181.176389 229.725811 \nL 175.446988 233.671453 \nL 170.723915 236.684727 \nL 166.050815 239.437888 \nL 161.430373 241.922363 \nL 156.865029 244.130749 \nL 152.357098 246.05682 \nL 147.908782 247.695608 \nL 143.522281 249.043376 \nL 139.199859 250.097769 \nL 134.943907 250.857722 \nL 131.588734 251.253826 \nL 128.279199 251.462407 \nL 125.016866 251.484759 \nL 121.803453 251.322733 \nL 118.640832 250.978702 \nL 115.531046 250.455562 \nL 112.476359 249.756695 \nL 109.479205 248.886017 \nL 105.817728 247.562709 \nL 102.255985 245.98724 \nL 98.800232 244.170113 \nL 95.457259 242.122762 \nL 92.234452 239.857495 \nL 89.139736 237.387331 \nL 86.181605 234.725978 \nL 83.369056 231.887704 \nL 80.711639 228.887226 \nL 78.219298 225.739587 \nL 75.902394 222.460103 \nL 73.771628 219.064181 \nL 71.837999 215.567291 \nL 70.112712 211.984808 \nL 68.607086 208.331931 \nL 67.332475 204.62359 \nL 66.300221 200.874343 \nL 65.521471 197.098317 \nL 65.007167 193.309096 \nL 64.767897 189.519675 \nL 64.781332 186.496307 \nL 64.982208 183.486704 \nL 65.375224 180.496543 \nL 65.964772 177.531181 \nL 66.754875 174.595641 \nL 67.74925 171.694604 \nL 68.951213 168.832396 \nL 70.363655 166.013001 \nL 71.989013 163.240046 \nL 73.829241 160.516804 \nL 75.885838 157.846201 \nL 78.159729 155.230822 \nL 80.651349 152.672916 \nL 83.360527 150.174407 \nL 86.28653 147.736908 \nL 89.428067 145.361735 \nL 93.655081 142.481964 \nL 98.21073 139.702617 \nL 103.088427 137.024559 \nL 108.280089 134.448134 \nL 113.776112 131.973233 \nL 119.565417 129.599376 \nL 125.635467 127.325785 \nL 133.270277 124.728393 \nL 141.262304 122.271918 \nL 149.581978 119.954238 \nL 158.197099 117.773305 \nL 168.575153 115.399324 \nL 179.249292 113.20687 \nL 190.15701 111.194853 \nL 201.232641 109.363522 \nL 214.008454 107.494163 \nL 226.809334 105.868504 \nL 239.528098 104.494864 \nL 252.056714 103.384538 \nL 262.778714 102.640011 \nL 273.201901 102.118806 \nL 283.257243 101.833104 \nL 292.878282 101.795976 \nL 300.731215 101.972304 \nL 308.181098 102.349925 \nL 315.192889 102.937385 \nL 320.678004 103.593172 \nL 325.81929 104.40488 \nL 330.601163 105.376647 \nL 335.009696 106.512167 \nL 339.032645 107.814642 \nL 341.966285 108.978594 \nL 344.641883 110.252093 \nL 347.055663 111.635864 \nL 349.204609 113.130325 \nL 351.086467 114.73554 \nL 352.699739 116.451224 \nL 354.043718 118.276708 \nL 355.118413 120.210942 \nL 355.924592 122.252475 \nL 356.463752 124.399442 \nL 356.738066 126.649561 \nL 356.75038 129.000125 \nL 356.504227 131.448003 \nL 356.003712 133.98964 \nL 355.253581 136.621054 \nL 354.259068 139.337841 \nL 353.025949 142.135191 \nL 351.158578 145.737183 \nL 348.94126 149.445833 \nL 346.388002 153.249185 \nL 343.513587 157.13443 \nL 340.333416 161.087954 \nL 336.86337 165.095416 \nL 332.339518 169.954407 \nL 327.450033 174.842433 \nL 322.223476 179.731513 \nL 316.688259 184.592909 \nL 310.87232 189.397378 \nL 304.802944 194.115427 \nL 298.506545 198.717569 \nL 292.008475 203.174582 \nL 285.332911 207.457804 \nL 278.502714 211.539374 \nL 272.708344 214.767291 \nL 266.833299 217.821762 \nL 260.888652 220.688743 \nL 254.884823 223.355032 \nL 248.831603 225.808362 \nL 242.738203 228.037501 \nL 236.613288 230.032302 \nL 230.465016 231.783807 \nL 224.301116 233.284312 \nL 218.128936 234.527395 \nL 211.955522 235.507974 \nL 205.787684 236.222373 \nL 199.632072 236.6683 \nL 193.495254 236.844911 \nL 187.38379 236.752766 \nL 181.304319 236.393875 \nL 175.263611 235.771638 \nL 169.268665 234.890865 \nL 163.326757 233.757691 \nL 157.445504 232.379548 \nL 151.632926 230.765113 \nL 145.897508 228.924244 \nL 140.248212 226.867886 \nL 134.694536 224.608003 \nL 129.246528 222.157503 \nL 123.914793 219.530117 \nL 118.710497 216.740293 \nL 113.645393 213.803122 \nL 108.731726 210.734211 \nL 103.053292 206.900188 \nL 97.634377 202.927744 \nL 92.498762 198.845412 \nL 87.670972 194.681784 \nL 83.175932 190.46522 \nL 79.702446 186.931117 \nL 76.49217 183.395376 \nL 73.559616 179.873288 \nL 70.919074 176.379603 \nL 68.584471 172.928419 \nL 66.56932 169.533135 \nL 64.886555 166.206359 \nL 63.787894 163.602194 \nL 62.915687 161.055019 \nL 62.275443 158.57005 \nL 61.872273 156.152103 \nL 61.710809 153.805584 \nL 61.795245 151.534476 \nL 62.129231 149.342339 \nL 62.715897 147.232302 \nL 63.557771 145.207066 \nL 64.656821 143.268902 \nL 66.014393 141.41966 \nL 67.631176 139.660769 \nL 69.507226 137.993256 \nL 71.641937 136.417747 \nL 74.034016 134.93449 \nL 76.681533 133.543367 \nL 79.581845 132.243909 \nL 83.557653 130.747259 \nL 87.915364 129.390365 \nL 92.645442 128.170345 \nL 97.736787 127.083722 \nL 103.176808 126.126505 \nL 110.145174 125.142419 \nL 117.568366 124.330052 \nL 125.416772 123.680667 \nL 135.067686 123.11705 \nL 145.198735 122.74872 \nL 157.289859 122.549068 \nL 169.839511 122.566844 \nL 184.385879 122.825201 \nL 199.248906 123.316224 \nL 214.284039 124.024495 \nL 229.345824 124.940351 \nL 244.289849 126.060101 \nL 258.974632 127.385949 \nL 271.699454 128.743578 \nL 284.019511 130.278591 \nL 294.39912 131.775835 \nL 304.347741 133.425781 \nL 313.81469 135.23758 \nL 321.510492 136.926501 \nL 328.791611 138.747063 \nL 335.634082 140.704774 \nL 340.985654 142.444584 \nL 346.007002 144.28562 \nL 350.688762 146.229957 \nL 355.022943 148.279163 \nL 359.00305 150.434224 \nL 362.62403 152.695475 \nL 365.259747 154.580707 \nL 367.662059 156.533131 \nL 369.830362 158.551871 \nL 371.76462 160.635708 \nL 373.465325 162.783061 \nL 374.933506 164.991989 \nL 376.170752 167.260167 \nL 377.179156 169.584893 \nL 377.961244 171.963086 \nL 378.520036 174.391278 \nL 378.859006 176.865617 \nL 378.981962 179.381878 \nL 378.893147 181.935464 \nL 378.597121 184.521416 \nL 378.098756 187.134425 \nL 377.403208 189.768847 \nL 376.264736 193.082874 \nL 374.837601 196.408718 \nL 373.133237 199.733412 \nL 371.163364 203.043383 \nL 368.939895 206.32455 \nL 366.474846 209.56239 \nL 363.780315 212.742026 \nL 360.868261 215.848344 \nL 357.750517 218.866068 \nL 354.438678 221.779882 \nL 350.944039 224.574524 \nL 347.277554 227.234898 \nL 343.449719 229.746179 \nL 339.470641 232.093912 \nL 335.349924 234.264129 \nL 331.096647 236.243459 \nL 326.719362 238.019203 \nL 322.226106 239.579466 \nL 317.624403 240.91318 \nL 312.921233 242.010284 \nL 308.123136 242.861727 \nL 303.236149 243.459566 \nL 298.265915 243.797017 \nL 293.217703 243.868528 \nL 288.096455 243.669803 \nL 282.906845 243.197841 \nL 277.653344 242.450958 \nL 272.340292 241.428801 \nL 266.971965 240.132362 \nL 261.552646 238.56396 \nL 256.086697 236.727235 \nL 250.578651 234.627112 \nL 245.033269 232.269753 \nL 239.455621 229.662554 \nL 233.851171 226.81406 \nL 228.225826 223.733929 \nL 221.456928 219.747107 \nL 214.679465 215.462433 \nL 207.907006 210.901998 \nL 201.15458 206.089499 \nL 194.438755 201.05003 \nL 186.67423 194.918881 \nL 179.016025 188.557908 \nL 171.49886 182.011704 \nL 164.160388 175.325649 \nL 157.041008 168.545436 \nL 150.183559 161.716597 \nL 143.632992 154.884065 \nL 137.435847 148.091736 \nL 131.639745 141.38207 \nL 127.02726 135.727588 \nL 122.774835 130.188085 \nL 118.912093 124.786594 \nL 115.467853 119.544707 \nL 112.937233 115.3129 \nL 110.731509 111.216603 \nL 108.864869 107.265714 \nL 107.350462 103.469257 \nL 106.400598 100.548805 \nL 105.689329 97.736195 \nL 105.221548 95.034841 \nL 105.001521 92.447771 \nL 105.032861 89.977651 \nL 105.318482 87.626793 \nL 105.860546 85.397135 \nL 106.660482 83.290286 \nL 107.718942 81.307502 \nL 109.035778 79.449709 \nL 110.610028 77.717523 \nL 112.439932 76.111245 \nL 114.522905 74.630896 \nL 116.855531 73.276238 \nL 119.4336 72.046767 \nL 122.252082 70.941754 \nL 125.305169 69.960246 \nL 128.586269 69.101124 \nL 132.997038 68.197308 \nL 137.736646 67.479826 \nL 142.78751 66.945546 \nL 148.130478 66.591127 \nL 153.744935 66.413107 \nL 160.809703 66.427294 \nL 168.193667 66.684201 \nL 175.854611 67.177825 \nL 183.748619 67.902409 \nL 191.83044 68.85255 \nL 200.05392 70.023343 \nL 208.372388 71.410396 \nL 216.739064 73.009917 \nL 225.107458 74.818693 \nL 233.431759 76.83411 \nL 241.667212 79.054124 \nL 249.770474 81.477197 \nL 257.699946 84.102192 \nL 265.416094 86.928312 \nL 271.656349 89.436587 \nL 277.702446 92.083766 \nL 283.535592 94.869476 \nL 289.13841 97.793249 \nL 294.495041 100.854446 \nL 299.591176 104.052179 \nL 304.414113 107.385237 \nL 308.068261 110.148064 \nL 311.535545 112.995468 \nL 314.811752 115.926213 \nL 317.89332 118.938838 \nL 320.777385 122.031629 \nL 323.461774 125.202603 \nL 325.944911 128.449478 \nL 328.225936 131.76968 \nL 330.3046 135.160308 \nL 332.181221 138.618132 \nL 333.856761 142.139571 \nL 335.332717 145.720699 \nL 336.611112 149.357228 \nL 337.694509 153.044505 \nL 338.585913 156.777514 \nL 339.28879 160.550873 \nL 339.807004 164.358838 \nL 340.144842 168.19531 \nL 340.32045 173.021129 \nL 340.230994 177.868055 \nL 339.886673 182.721972 \nL 339.298234 187.568035 \nL 338.476826 192.39072 \nL 337.433858 197.17391 \nL 336.18088 201.900959 \nL 334.729574 206.55478 \nL 333.091548 211.117947 \nL 331.278326 215.572781 \nL 329.301181 219.90146 \nL 327.171146 224.086152 \nL 324.898845 228.1091 \nL 322.494531 231.952768 \nL 319.967936 235.599915 \nL 317.328331 239.033797 \nL 314.584384 242.238206 \nL 311.744213 245.197637 \nL 308.815334 247.897388 \nL 305.804654 250.323681 \nL 302.71849 252.463762 \nL 300.199063 253.961902 \nL 297.637642 255.264 \nL 295.036648 256.365178 \nL 292.398284 257.26113 \nL 289.724545 257.948103 \nL 287.01722 258.422935 \nL 284.277927 258.683084 \nL 281.5081 258.726619 \nL 278.709032 258.552256 \nL 275.881872 258.159323 \nL 273.027654 257.547793 \nL 270.147339 256.718277 \nL 267.241796 255.672041 \nL 264.311831 254.410945 \nL 261.358231 252.937486 \nL 257.634178 250.801798 \nL 253.875964 248.346467 \nL 250.085228 245.5802 \nL 246.26379 242.512967 \nL 242.4137 239.155963 \nL 237.759104 234.762491 \nL 233.071412 229.992823 \nL 228.35629 224.872088 \nL 223.620437 219.427115 \nL 218.079625 212.702498 \nL 212.536002 205.621588 \nL 206.219141 197.154636 \nL 199.950994 188.358479 \nL 193.766023 179.306943 \nL 187.703255 170.073422 \nL 181.806063 160.729987 \nL 176.121793 151.346586 \nL 170.701237 141.990345 \nL 165.597899 132.72496 \nL 161.436193 124.739366 \nL 157.597404 116.906484 \nL 154.119132 109.260936 \nL 151.452716 102.880881 \nL 149.100786 96.680174 \nL 147.084812 90.675544 \nL 145.67604 85.832412 \nL 144.525363 81.143864 \nL 143.642659 76.617036 \nL 143.036767 72.258297 \nL 142.715399 68.073291 \nL 142.667549 64.853711 \nL 142.808651 61.750692 \nL 143.140818 58.766146 \nL 143.665578 55.901739 \nL 144.383821 53.158886 \nL 145.295795 50.538757 \nL 146.401098 48.042274 \nL 147.698633 45.670152 \nL 149.186657 43.422925 \nL 150.862711 41.300901 \nL 152.723669 39.304249 \nL 154.765705 37.432978 \nL 156.984332 35.686945 \nL 159.374382 34.065904 \nL 161.930047 32.5695 \nL 164.644867 31.197255 \nL 168.251378 29.655765 \nL 172.080396 28.306333 \nL 176.115481 27.147707 \nL 180.338934 26.178632 \nL 184.731918 25.397814 \nL 189.274558 24.804022 \nL 193.946094 24.396096 \nL 198.725 24.172983 \nL 203.589125 24.13376 \nL 209.506691 24.328376 \nL 215.474704 24.785708 \nL 221.453196 25.505129 \nL 227.402286 26.48639 \nL 232.308946 27.50419 \nL 237.145427 28.704119 \nL 241.889906 30.086548 \nL 246.521245 31.651957 \nL 251.019131 33.400885 \nL 255.364203 35.333952 \nL 259.538165 37.451716 \nL 263.523892 39.754709 \nL 267.305527 42.243355 \nL 270.174099 44.368151 \nL 272.895974 46.612005 \nL 275.464982 48.974854 \nL 277.875584 51.456531 \nL 280.122863 54.056743 \nL 282.202556 56.774985 \nL 284.111043 59.610594 \nL 285.845345 62.562754 \nL 287.403153 65.630376 \nL 288.782799 68.812168 \nL 289.983235 72.10657 \nL 291.00405 75.511794 \nL 291.84545 79.025741 \nL 292.508212 82.646038 \nL 292.993703 86.369988 \nL 293.303815 90.194593 \nL 293.44857 95.111789 \nL 293.328929 100.173766 \nL 292.951788 105.37244 \nL 292.325064 110.698843 \nL 291.457538 116.143147 \nL 290.358809 121.694636 \nL 289.039116 127.341736 \nL 287.179085 134.226871 \nL 285.035959 141.208592 \nL 282.629873 148.262079 \nL 279.981328 155.360898 \nL 277.110914 162.477106 \nL 273.50896 170.762139 \nL 269.664672 178.982242 \nL 265.608784 187.086891 \nL 261.370544 195.024132 \nL 256.977447 202.741063 \nL 252.454967 210.184388 \nL 248.493313 216.306349 \nL 244.467138 222.155294 \nL 240.388579 227.698969 \nL 236.268544 232.906177 \nL 232.116768 237.747081 \nL 228.638948 241.480962 \nL 225.149507 244.925568 \nL 221.652402 248.066694 \nL 218.151171 250.891277 \nL 214.648979 253.387548 \nL 211.848458 255.141143 \nL 209.050483 256.673263 \nL 206.256302 257.979869 \nL 203.467095 259.05757 \nL 200.683991 259.903638 \nL 197.908096 260.515991 \nL 195.140509 260.893258 \nL 192.382343 261.034774 \nL 189.634751 260.940566 \nL 186.89894 260.611351 \nL 184.176188 260.048545 \nL 181.467882 259.254249 \nL 178.775515 258.231259 \nL 176.100715 256.983031 \nL 173.445264 255.513655 \nL 170.811102 253.827842 \nL 168.200361 251.930924 \nL 164.973416 249.271936 \nL 161.79169 246.304996 \nL 158.660701 243.044033 \nL 155.586524 239.504041 \nL 152.575816 235.701022 \nL 149.635807 231.651856 \nL 146.774306 227.374164 \nL 143.455995 221.964964 \nL 140.278397 216.285356 \nL 137.25813 210.368452 \nL 134.412813 204.247695 \nL 131.760929 197.956624 \nL 129.321669 191.528552 \nL 127.114755 184.996283 \nL 125.160249 178.391859 \nL 123.73886 172.855494 \nL 122.518358 167.307944 \nL 121.510211 161.765898 \nL 120.725567 156.245315 \nL 120.175202 150.761382 \nL 119.869389 145.328455 \nL 119.817778 139.960029 \nL 120.029264 134.668707 \nL 120.393331 130.499051 \nL 120.934652 126.391799 \nL 121.656474 122.352132 \nL 122.561576 118.38486 \nL 123.652268 114.49441 \nL 124.930309 110.684842 \nL 126.396912 106.95986 \nL 128.052712 103.322822 \nL 129.897736 99.776732 \nL 131.931386 96.324289 \nL 134.152408 92.967865 \nL 136.558923 89.709546 \nL 139.148363 86.551147 \nL 141.917492 83.494204 \nL 144.862383 80.540034 \nL 147.978446 77.689734 \nL 151.26041 74.944198 \nL 154.70234 72.304143 \nL 159.219572 69.15325 \nL 163.962085 66.168863 \nL 168.91406 63.351551 \nL 174.058224 60.701684 \nL 179.375953 58.219503 \nL 184.847342 55.905175 \nL 190.451321 53.75885 \nL 196.16576 51.780734 \nL 203.136387 49.629388 \nL 210.191535 47.721347 \nL 217.288609 46.057612 \nL 224.384105 44.6396 \nL 231.434003 43.469126 \nL 238.394167 42.548447 \nL 245.220748 41.880258 \nL 251.870604 41.467612 \nL 258.301696 41.313963 \nL 264.473485 41.422978 \nL 269.39061 41.717266 \nL 274.079591 42.198926 \nL 278.520464 42.870242 \nL 282.694581 43.733428 \nL 286.584815 44.790583 \nL 289.482068 45.777264 \nL 292.180407 46.89021 \nL 294.673319 48.130203 \nL 296.955025 49.497861 \nL 299.020506 50.993699 \nL 300.865479 52.618043 \nL 302.486452 54.371036 \nL 303.880704 56.252615 \nL 305.04629 58.262516 \nL 305.982057 60.400223 \nL 306.687592 62.665012 \nL 307.163262 65.055863 \nL 307.410158 67.571511 \nL 307.430109 70.210387 \nL 307.225626 72.970659 \nL 306.799898 75.850193 \nL 306.156739 78.846548 \nL 305.053848 82.752042 \nL 303.628097 86.829693 \nL 301.890656 91.072674 \nL 299.853811 95.473399 \nL 297.530875 100.023509 \nL 294.385731 105.667937 \nL 290.874937 111.497147 \nL 287.025469 117.492467 \nL 282.143507 124.67004 \nL 276.883324 132.011971 \nL 270.466249 140.556871 \nL 263.68014 149.210319 \nL 256.589158 157.910953 \nL 248.323268 167.675778 \nL 239.829658 177.325069 \nL 232.148282 185.727473 \nL 224.391553 193.894523 \nL 216.600515 201.758553 \nL 209.783449 208.338781 \nL 202.98828 214.593017 \nL 196.232854 220.479878 \nL 190.485707 225.203611 \nL 184.787125 229.60554 \nL 179.144129 233.664253 \nL 174.48846 236.770186 \nL 169.878636 239.613977 \nL 165.317377 242.186497 \nL 160.807136 244.479748 \nL 156.350211 246.486965 \nL 151.948783 248.202604 \nL 147.605004 249.622423 \nL 143.321062 250.743526 \nL 139.938535 251.424238 \nL 136.597042 251.912584 \nL 133.29794 252.208962 \nL 130.042697 252.31432 \nL 126.832924 252.230171 \nL 123.670384 251.95859 \nL 120.557002 251.502161 \nL 117.494894 250.864019 \nL 114.486364 250.047804 \nL 111.533949 249.057652 \nL 107.926518 247.582404 \nL 104.416902 245.852578 \nL 101.011536 243.879155 \nL 97.717395 241.674072 \nL 94.542095 239.250109 \nL 91.493765 236.620788 \nL 88.581127 233.800279 \nL 85.813445 230.803308 \nL 83.200423 227.645011 \nL 80.75225 224.340854 \nL 78.479526 220.906534 \nL 76.393167 217.357846 \nL 74.504404 213.710583 \nL 72.824588 209.980443 \nL 71.365222 206.182915 \nL 70.137866 202.333181 \nL 69.153975 198.446045 \nL 68.424847 194.535827 \nL 67.961491 190.616296 \nL 67.789348 187.482826 \nL 67.799375 184.358252 \nL 67.996569 181.248688 \nL 68.385676 178.159943 \nL 68.971141 175.097497 \nL 69.757072 172.066489 \nL 70.747182 169.071718 \nL 71.944845 166.117624 \nL 73.352966 163.208295 \nL 74.974013 160.347462 \nL 76.809943 157.538498 \nL 78.862206 154.784427 \nL 81.131753 152.087927 \nL 83.618959 149.451336 \nL 86.323632 146.87667 \nL 89.24497 144.365626 \nL 92.381579 141.919607 \nL 95.731469 139.539726 \nL 100.214709 136.659162 \nL 105.020547 133.88439 \nL 110.140932 131.216005 \nL 115.566296 128.654148 \nL 121.285513 126.198556 \nL 127.285978 123.848656 \nL 133.553617 121.603633 \nL 141.405515 119.04666 \nL 149.590341 116.637466 \nL 158.075989 114.374209 \nL 166.827827 112.25525 \nL 177.32535 109.963783 \nL 188.072595 107.865763 \nL 199.003958 105.961185 \nL 210.051057 104.251475 \nL 221.143341 102.739608 \nL 232.20875 101.430261 \nL 243.174393 100.329783 \nL 253.967273 99.446162 \nL 264.515008 98.788923 \nL 274.746567 98.368931 \nL 284.593058 98.198115 \nL 292.676234 98.259641 \nL 300.388346 98.521818 \nL 307.692103 98.992939 \nL 314.552759 99.681138 \nL 319.908367 100.426081 \nL 324.91723 101.331381 \nL 329.564095 102.400873 \nL 333.835414 103.637961 \nL 336.974047 104.750243 \nL 339.859484 105.97283 \nL 342.487255 107.306637 \nL 344.853655 108.752293 \nL 346.955734 110.310112 \nL 348.791332 111.980064 \nL 350.359053 113.761767 \nL 351.658246 115.654463 \nL 352.689049 117.657017 \nL 353.452341 119.767889 \nL 353.949688 121.985138 \nL 354.183413 124.3064 \nL 354.156487 126.728898 \nL 353.872523 129.249429 \nL 353.335776 131.864366 \nL 352.55108 134.569667 \nL 351.523777 137.360868 \nL 350.259776 140.233097 \nL 348.356606 143.929261 \nL 346.106805 147.732623 \nL 343.524586 151.631133 \nL 340.62488 155.611888 \nL 337.423214 159.66119 \nL 333.20522 164.590475 \nL 328.603781 169.571498 \nL 323.647512 174.576947 \nL 318.365102 179.578551 \nL 312.784951 184.547335 \nL 306.934951 189.453854 \nL 300.842274 194.268443 \nL 294.533127 198.961476 \nL 288.032587 203.503647 \nL 281.364517 207.866217 \nL 274.551442 212.021294 \nL 268.77839 215.306 \nL 262.930825 218.413212 \nL 257.019565 221.328926 \nL 251.054764 224.03996 \nL 245.045964 226.534119 \nL 239.002101 228.800218 \nL 232.931581 230.828202 \nL 226.842306 232.609214 \nL 220.741748 234.135613 \nL 214.637012 235.401102 \nL 208.534903 236.400712 \nL 202.442002 237.130875 \nL 196.364744 237.589447 \nL 190.30949 237.775712 \nL 184.282602 237.690386 \nL 178.290532 237.335586 \nL 172.339883 236.714899 \nL 166.437486 235.833248 \nL 160.590465 234.69694 \nL 154.806294 233.313527 \nL 149.092868 231.691848 \nL 143.458533 229.841902 \nL 137.91214 227.774758 \nL 132.463057 225.502521 \nL 127.121238 223.038206 \nL 121.897168 220.395664 \nL 116.801907 217.589447 \nL 111.847114 214.63475 \nL 107.044935 211.547255 \nL 102.40804 208.343058 \nL 97.080479 204.367032 \nL 92.033394 200.275096 \nL 87.290921 196.095935 \nL 82.877746 191.857985 \nL 79.469636 188.301671 \nL 76.322028 184.739796 \nL 73.449282 181.187738 \nL 70.865576 177.660328 \nL 68.584802 174.171768 \nL 66.620383 170.735552 \nL 64.985192 167.3644 \nL 63.922307 164.722331 \nL 63.083817 162.135184 \nL 62.475244 159.608238 \nL 62.10171 157.146377 \nL 61.96788 154.754077 \nL 62.07794 152.435393 \nL 62.435615 150.193957 \nL 63.04404 148.032977 \nL 63.905808 145.955229 \nL 65.022934 143.963066 \nL 66.396823 142.058417 \nL 68.02824 140.242799 \nL 69.91729 138.517321 \nL 72.063445 136.8827 \nL 74.465518 135.339268 \nL 77.121632 133.886999 \nL 80.029239 132.525518 \nL 83.185114 131.254123 \nL 87.473126 129.790009 \nL 92.133894 128.462499 \nL 97.156809 127.268415 \nL 102.529727 126.204055 \nL 109.41991 125.092191 \nL 116.768133 124.153318 \nL 124.545416 123.379105 \nL 134.118965 122.672452 \nL 144.179424 122.164378 \nL 154.668926 121.841408 \nL 167.10381 121.682663 \nL 179.923759 121.731894 \nL 194.683219 122.017787 \nL 209.660484 122.53233 \nL 224.709503 123.264951 \nL 239.684462 124.210952 \nL 254.441716 125.371548 \nL 267.263554 126.588695 \nL 279.708815 127.988743 \nL 290.218977 129.372134 \nL 300.315646 130.912071 \nL 309.945974 132.617723 \nL 317.792339 134.218837 \nL 325.232178 135.954708 \nL 332.240024 137.831088 \nL 337.733394 139.505917 \nL 342.89924 141.284748 \nL 347.727338 143.169907 \nL 352.208851 145.163248 \nL 356.336428 147.266066 \nL 360.10418 149.47903 \nL 362.856302 151.328715 \nL 365.373705 153.248538 \nL 367.655417 155.237816 \nL 369.701014 157.295527 \nL 371.510692 159.420292 \nL 373.085182 161.610366 \nL 374.425753 163.86363 \nL 375.534212 166.177582 \nL 376.41288 168.549331 \nL 377.064557 170.975599 \nL 377.492492 173.45272 \nL 377.700354 175.976639 \nL 377.692236 178.542926 \nL 377.472586 181.146778 \nL 377.046172 183.783024 \nL 376.418082 186.446152 \nL 375.593701 189.130311 \nL 374.295708 192.505664 \nL 372.7111 195.891529 \nL 370.85164 199.274556 \nL 368.729335 202.64081 \nL 366.356406 205.975848 \nL 363.745168 209.264817 \nL 360.907878 212.492535 \nL 357.856735 215.643597 \nL 354.603698 218.702474 \nL 351.160544 221.65362 \nL 347.538662 224.481564 \nL 343.749083 227.171038 \nL 339.802396 229.707072 \nL 335.708754 232.075146 \nL 331.477784 234.261207 \nL 327.118575 236.251837 \nL 322.639703 238.034346 \nL 318.049193 239.596877 \nL 313.35457 240.928447 \nL 308.562819 242.019113 \nL 303.680462 242.859956 \nL 298.713549 243.443218 \nL 293.667739 243.762347 \nL 288.548314 243.812001 \nL 283.360253 243.588179 \nL 278.108302 243.088162 \nL 272.797005 242.310585 \nL 267.430798 241.255466 \nL 262.014076 239.924144 \nL 256.551273 238.319309 \nL 251.04692 236.445 \nL 245.505749 234.306522 \nL 239.93274 231.910472 \nL 234.333217 229.264662 \nL 228.712908 226.378035 \nL 223.078021 223.260669 \nL 216.306455 219.230923 \nL 209.536452 214.905885 \nL 202.782197 210.308303 \nL 196.059344 205.462502 \nL 189.385109 200.394163 \nL 182.778314 195.130097 \nL 175.18299 188.778301 \nL 167.742591 182.242954 \nL 160.495218 175.569919 \nL 153.481644 168.805301 \nL 146.744979 161.994988 \nL 140.330322 155.184188 \nL 134.284203 148.416992 \nL 129.431116 142.683558 \nL 124.91373 137.039164 \nL 120.761926 131.508325 \nL 117.005047 126.114215 \nL 114.196569 121.739274 \nL 111.697952 117.486113 \nL 109.524253 113.365646 \nL 107.689593 109.387955 \nL 106.207097 105.562261 \nL 105.282684 102.616764 \nL 104.596786 99.777738 \nL 104.154285 97.048656 \nL 103.959469 94.432632 \nL 104.015939 91.932402 \nL 104.326611 89.550327 \nL 104.89368 87.288425 \nL 105.718564 85.148344 \nL 106.801961 83.13139 \nL 108.143744 81.238537 \nL 109.742976 79.470432 \nL 111.59792 77.827424 \nL 113.706013 76.30958 \nL 116.063884 74.916656 \nL 118.667347 73.648192 \nL 121.511423 72.503461 \nL 124.590327 71.481552 \nL 127.897507 70.581349 \nL 132.341301 69.625283 \nL 137.114467 68.854525 \nL 142.199483 68.265976 \nL 147.577255 67.856323 \nL 153.227213 67.622078 \nL 160.335566 67.567552 \nL 167.76424 67.754392 \nL 175.471055 68.176612 \nL 183.412093 68.828453 \nL 191.542089 69.704578 \nL 199.814836 70.800097 \nL 208.18358 72.110679 \nL 216.601428 73.632606 \nL 225.021744 75.362733 \nL 233.398541 77.298563 \nL 241.686855 79.438157 \nL 249.843094 81.780124 \nL 257.825395 84.323468 \nL 265.593926 87.067574 \nL 271.877274 89.507385 \nL 277.965743 92.086117 \nL 283.840336 94.80354 \nL 289.483469 97.65934 \nL 294.879066 100.653025 \nL 300.012617 103.783869 \nL 304.871203 107.050841 \nL 308.55246 109.761502 \nL 312.045464 112.557468 \nL 315.345904 115.437608 \nL 318.450133 118.400557 \nL 321.355179 121.444702 \nL 324.058777 124.568163 \nL 326.559281 127.768766 \nL 328.85573 131.044042 \nL 330.947782 134.391197 \nL 332.835711 137.807103 \nL 334.520398 141.288288 \nL 336.003294 144.83093 \nL 337.286366 148.430842 \nL 338.372129 152.083475 \nL 339.263568 155.783909 \nL 339.964135 159.526858 \nL 340.477661 163.306672 \nL 340.808411 167.11734 \nL 340.971842 171.914337 \nL 340.866493 176.736393 \nL 340.502609 181.569539 \nL 339.891006 186.399055 \nL 339.042866 191.209534 \nL 337.969714 195.984954 \nL 336.683224 200.70874 \nL 335.195137 205.363866 \nL 333.517253 209.93294 \nL 331.661189 214.398304 \nL 329.63839 218.742135 \nL 327.460049 222.946562 \nL 325.136959 226.99378 \nL 322.679514 230.866176 \nL 320.097661 234.546417 \nL 317.400809 238.017617 \nL 314.59783 241.263437 \nL 311.697027 244.268191 \nL 308.706069 247.016995 \nL 305.632053 249.495856 \nL 302.481455 251.691764 \nL 299.909812 253.236751 \nL 297.295676 254.587495 \nL 294.641551 255.738982 \nL 291.949724 256.686733 \nL 289.222275 257.426858 \nL 286.46107 257.956047 \nL 283.667787 258.271562 \nL 280.843954 258.371341 \nL 277.990937 258.253904 \nL 275.109965 257.918436 \nL 272.202147 257.364752 \nL 269.2685 256.593295 \nL 266.309968 255.605144 \nL 263.327432 254.402018 \nL 260.321749 252.986255 \nL 256.533391 250.922069 \nL 252.71187 248.537301 \nL 248.858975 245.840375 \nL 244.976656 242.841022 \nL 241.0671 239.550215 \nL 237.132797 235.980069 \nL 232.38302 231.345798 \nL 227.607496 226.352893 \nL 222.812997 221.02766 \nL 217.206062 214.432027 \nL 211.598864 207.46813 \nL 206.00864 200.183824 \nL 199.666211 191.529367 \nL 193.405968 182.594251 \nL 187.266468 173.45229 \nL 181.290673 164.176304 \nL 175.525625 154.837276 \nL 170.021896 145.503592 \nL 164.832926 136.240398 \nL 160.594364 128.241262 \nL 156.677096 120.381594 \nL 153.119023 112.697169 \nL 150.383434 106.275075 \nL 147.962005 100.025063 \nL 145.876578 93.964584 \nL 144.410267 89.07043 \nL 143.202679 84.32721 \nL 142.263997 79.742447 \nL 141.603401 75.32289 \nL 141.228947 71.07453 \nL 141.140051 67.802666 \nL 141.24157 64.646104 \nL 141.535835 61.606936 \nL 142.024561 58.686958 \nL 142.708853 55.887693 \nL 143.589156 53.210453 \nL 144.665263 50.656283 \nL 145.936307 48.225979 \nL 147.400721 45.92017 \nL 149.056246 43.739264 \nL 150.899933 41.68349 \nL 152.92814 39.752929 \nL 155.136552 37.947492 \nL 157.520153 36.266958 \nL 160.073275 34.711007 \nL 162.789604 33.279206 \nL 166.403889 31.663266 \nL 170.247394 30.239391 \nL 174.303842 29.00635 \nL 178.555662 27.962851 \nL 182.984092 27.10759 \nL 187.569297 26.439286 \nL 192.290506 25.956732 \nL 197.12613 25.658831 \nL 202.053918 25.544599 \nL 208.056822 25.648823 \nL 214.11959 26.015251 \nL 220.201804 26.643173 \nL 226.263045 27.532254 \nL 231.269151 28.472654 \nL 236.210092 29.594651 \nL 241.063596 30.898574 \nL 245.808049 32.384909 \nL 250.422635 34.054206 \nL 254.887455 35.907092 \nL 259.183657 37.94418 \nL 263.293543 40.16608 \nL 267.20067 42.573288 \nL 270.170189 44.632719 \nL 272.99317 46.811101 \nL 275.663154 49.108426 \nL 278.174262 51.524597 \nL 280.521299 54.059364 \nL 282.699686 56.712321 \nL 284.705518 59.482919 \nL 286.535536 62.370387 \nL 288.18714 65.373752 \nL 289.658402 68.491808 \nL 290.94802 71.723122 \nL 292.055335 75.065983 \nL 292.980326 78.518426 \nL 293.723563 82.078176 \nL 294.286191 85.742667 \nL 294.669935 89.509001 \nL 294.877065 93.373975 \nL 294.891854 98.338462 \nL 294.641477 103.443801 \nL 294.133433 108.68145 \nL 293.376201 114.041988 \nL 292.37911 119.515115 \nL 291.152211 125.089656 \nL 289.706194 130.753558 \nL 287.697527 137.649961 \nL 285.409538 144.632511 \nL 282.862803 151.67565 \nL 280.078175 158.752248 \nL 277.076511 165.833728 \nL 273.327744 174.061686 \nL 269.343544 182.206165 \nL 265.154575 190.216066 \nL 260.789921 198.039054 \nL 256.276771 205.622066 \nL 252.309255 211.890458 \nL 248.265629 217.910174 \nL 244.159158 223.648479 \nL 240.001868 229.073464 \nL 235.804556 234.154379 \nL 232.283189 238.10444 \nL 228.745693 241.779147 \nL 225.196525 245.163409 \nL 221.639682 248.243217 \nL 218.078737 251.005765 \nL 214.516895 253.439514 \nL 211.668726 255.142923 \nL 208.823192 256.624866 \nL 205.981565 257.881445 \nL 203.145051 258.909403 \nL 200.314806 259.706153 \nL 197.491968 260.269782 \nL 194.677672 260.599059 \nL 191.873067 260.693462 \nL 189.079347 260.553168 \nL 186.297761 260.179036 \nL 183.529641 259.572625 \nL 180.776424 258.736192 \nL 178.039658 257.672634 \nL 175.321033 256.385546 \nL 172.622392 254.879144 \nL 169.945745 253.158271 \nL 167.293293 251.228339 \nL 164.015422 248.531147 \nL 160.784275 245.529571 \nL 157.605516 242.237684 \nL 154.4854 238.670637 \nL 151.430764 234.844575 \nL 148.449028 230.776431 \nL 145.548196 226.483919 \nL 142.736854 221.985328 \nL 139.494267 216.341418 \nL 136.410516 210.460792 \nL 133.503395 204.376849 \nL 130.791576 198.123064 \nL 128.294457 191.732706 \nL 126.031959 185.238537 \nL 124.340407 179.770556 \nL 122.837685 174.27075 \nL 121.535565 168.75657 \nL 120.445674 163.244829 \nL 119.579377 157.751635 \nL 118.947674 152.292324 \nL 118.561095 146.88142 \nL 118.429563 141.532588 \nL 118.562284 136.258605 \nL 118.86437 132.101313 \nL 119.34483 128.005186 \nL 120.007072 123.975496 \nL 120.85408 120.017132 \nL 121.888341 116.13461 \nL 123.11181 112.332074 \nL 124.525893 108.613309 \nL 126.131442 104.981739 \nL 127.928675 101.440441 \nL 129.917196 97.992169 \nL 132.095972 94.639358 \nL 134.463309 91.384147 \nL 137.016842 88.228387 \nL 139.753534 85.173663 \nL 142.66967 82.221317 \nL 145.760831 79.372469 \nL 149.021923 76.628035 \nL 152.447183 73.988734 \nL 156.949763 70.838327 \nL 161.684769 67.853888 \nL 166.636641 65.035973 \nL 171.788392 62.384911 \nL 177.12159 59.900914 \nL 182.616518 57.58408 \nL 188.252253 55.434514 \nL 194.00678 53.452324 \nL 199.857112 51.637703 \nL 206.970391 49.681788 \nL 214.14486 47.968443 \nL 221.337011 46.498872 \nL 228.502659 45.274704 \nL 235.597341 44.298004 \nL 242.576716 43.571278 \nL 249.396992 43.097482 \nL 256.015308 42.879939 \nL 262.390173 42.922296 \nL 267.487835 43.158879 \nL 272.366858 43.580913 \nL 277.006503 44.190725 \nL 281.387304 44.990592 \nL 285.491231 45.98271 \nL 289.301756 47.169125 \nL 292.128864 48.259401 \nL 294.751793 49.476041 \nL 297.164442 50.819753 \nL 299.361425 52.291077 \nL 301.33813 53.890412 \nL 303.090726 55.61798 \nL 304.61616 57.47378 \nL 305.912147 59.457618 \nL 306.977192 61.569059 \nL 307.81056 63.807431 \nL 308.412308 66.171786 \nL 308.783206 68.660928 \nL 308.924787 71.273352 \nL 308.839276 74.007278 \nL 308.529587 76.860642 \nL 307.999277 79.831046 \nL 307.252541 82.915782 \nL 306.022086 86.927865 \nL 304.471458 91.107256 \nL 302.612387 95.446584 \nL 300.457662 99.937683 \nL 297.501131 105.514692 \nL 294.163909 111.280431 \nL 290.472556 117.216451 \nL 285.755089 124.330349 \nL 280.637664 131.614734 \nL 275.165286 139.033066 \nL 268.533815 147.625345 \nL 261.562299 156.28083 \nL 254.313257 164.935643 \nL 246.845657 173.523677 \nL 239.214206 181.977282 \nL 231.468798 190.228008 \nL 223.654205 198.207438 \nL 216.790872 204.913747 \nL 209.928079 211.31645 \nL 203.086048 217.372923 \nL 197.251262 222.257756 \nL 191.454045 226.834198 \nL 185.702617 231.079698 \nL 180.004071 234.973472 \nL 175.300141 237.935976 \nL 170.640364 240.631423 \nL 166.027571 243.05118 \nL 161.464365 245.187833 \nL 156.953181 247.035212 \nL 152.496393 248.588408 \nL 148.096349 249.843854 \nL 143.755468 250.7993 \nL 140.327069 251.347069 \nL 136.939551 251.702471 \nL 133.59444 251.866295 \nL 130.293337 251.839842 \nL 127.038013 251.625026 \nL 123.830402 251.224265 \nL 120.672595 250.640533 \nL 117.566891 249.877312 \nL 114.515805 248.938594 \nL 111.522024 247.828844 \nL 107.864892 246.208698 \nL 104.308157 244.339667 \nL 100.858624 242.233309 \nL 97.523711 239.902093 \nL 94.311378 237.359293 \nL 91.230165 234.618885 \nL 88.289183 231.695435 \nL 85.498027 228.603999 \nL 82.86677 225.360027 \nL 80.405929 221.9792 \nL 78.126412 218.477408 \nL 76.039414 214.870568 \nL 74.156378 211.174545 \nL 72.488899 207.405045 \nL 71.048662 203.577522 \nL 69.847339 199.707079 \nL 68.896458 195.808382 \nL 68.207347 191.895573 \nL 67.791017 187.982202 \nL 67.661487 184.859777 \nL 67.718494 181.75152 \nL 67.966956 178.663388 \nL 68.411527 175.601008 \nL 69.056504 172.569672 \nL 69.905856 169.574328 \nL 70.96315 166.619562 \nL 72.23153 163.709604 \nL 73.713706 160.848324 \nL 75.411907 158.039229 \nL 77.327848 155.285467 \nL 79.462719 152.589837 \nL 81.817182 149.954786 \nL 84.391306 147.382431 \nL 87.184578 144.874561 \nL 90.195898 142.432656 \nL 93.423529 140.057901 \nL 97.758659 137.185245 \nL 102.422115 134.420123 \nL 107.406361 131.763184 \nL 112.702388 129.214577 \nL 118.299587 126.774032 \nL 124.185848 124.440918 \nL 130.347595 122.214335 \nL 138.084049 119.681508 \nL 146.166836 117.298401 \nL 154.564577 115.06286 \nL 163.243344 112.97285 \nL 173.675164 110.716156 \nL 184.378593 108.653258 \nL 195.28879 106.783333 \nL 206.337994 105.106947 \nL 217.456143 103.626209 \nL 228.571504 102.344917 \nL 239.611353 101.268571 \nL 250.502687 100.404371 \nL 261.172924 99.761111 \nL 271.550663 99.349009 \nL 281.566405 99.179469 \nL 291.153298 99.264795 \nL 298.98106 99.550515 \nL 306.409397 100.04111 \nL 313.403185 100.744679 \nL 318.875918 101.499292 \nL 324.007246 102.411442 \nL 328.781572 103.485016 \nL 333.184983 104.72349 \nL 336.432395 105.835002 \nL 339.42916 107.055211 \nL 342.170591 108.385108 \nL 344.652733 109.825384 \nL 346.872464 111.376437 \nL 348.827382 113.038321 \nL 350.51583 114.810748 \nL 351.93695 116.693058 \nL 353.09064 118.684207 \nL 353.977517 120.782763 \nL 354.59893 122.986884 \nL 354.95696 125.294314 \nL 355.054328 127.702379 \nL 354.89443 130.207979 \nL 354.481279 132.807594 \nL 353.819472 135.497275 \nL 352.914175 138.272658 \nL 351.771061 141.128967 \nL 350.396269 144.061019 \nL 348.362037 147.824067 \nL 345.98976 151.685003 \nL 343.293925 155.631224 \nL 340.28966 159.649306 \nL 336.992638 163.725062 \nL 332.672383 168.671107 \nL 327.981842 173.651892 \nL 322.949414 178.639501 \nL 317.603388 183.605175 \nL 311.97166 188.519564 \nL 306.081523 193.352976 \nL 299.959416 198.075619 \nL 293.630752 202.657893 \nL 287.119785 207.070649 \nL 280.449497 211.285455 \nL 274.784858 214.626749 \nL 269.036405 217.796284 \nL 263.215243 220.779546 \nL 257.331835 223.562839 \nL 251.395989 226.13337 \nL 245.416908 228.479345 \nL 239.40324 230.590051 \nL 233.3631 232.45592 \nL 227.304146 234.068628 \nL 221.233633 235.42116 \nL 215.158484 236.507779 \nL 209.085356 237.324206 \nL 203.020721 237.867529 \nL 196.970936 238.136268 \nL 190.942326 238.130432 \nL 184.941263 237.851411 \nL 178.974235 237.302093 \nL 173.047922 236.486737 \nL 167.169267 235.411003 \nL 161.345542 234.081867 \nL 155.584415 232.507603 \nL 149.89397 230.697694 \nL 144.282823 228.662767 \nL 138.760074 226.414507 \nL 133.335391 223.965588 \nL 128.019023 221.329572 \nL 122.821792 218.520788 \nL 117.75511 215.554259 \nL 112.830936 212.445577 \nL 108.061789 209.210783 \nL 102.561821 205.185673 \nL 97.327214 201.031353 \nL 92.382162 196.776784 \nL 87.751453 192.450847 \nL 84.150825 188.811986 \nL 80.800683 185.159598 \nL 77.715696 181.509488 \nL 74.91042 177.876975 \nL 72.399169 174.276796 \nL 70.195879 170.723022 \nL 68.314033 167.228985 \nL 66.76648 163.807202 \nL 65.777296 161.12966 \nL 65.015639 158.511376 \nL 64.486952 155.957496 \nL 64.196232 153.472764 \nL 64.148039 151.061508 \nL 64.346389 148.727633 \nL 64.794801 146.474617 \nL 65.496248 144.305511 \nL 66.453087 142.222937 \nL 67.667089 140.229093 \nL 69.139375 138.325756 \nL 70.870424 136.51429 \nL 72.860066 134.795663 \nL 75.107466 133.170454 \nL 77.611079 131.638866 \nL 80.368689 130.200749 \nL 83.377369 128.855615 \nL 87.485771 127.303703 \nL 91.972316 125.893599 \nL 96.826883 124.62246 \nL 102.037765 123.486884 \nL 107.591687 122.48299 \nL 114.688406 121.446108 \nL 122.229769 120.584751 \nL 130.18501 119.890578 \nL 139.944703 119.28064 \nL 150.165711 118.873201 \nL 160.787785 118.655279 \nL 173.337077 118.622849 \nL 186.22914 118.806224 \nL 201.01617 119.254052 \nL 215.961755 119.944187 \nL 230.918073 120.8681 \nL 245.738499 122.02303 \nL 258.682065 123.245773 \nL 271.307432 124.658707 \nL 282.02022 126.057487 \nL 292.358759 127.615182 \nL 302.267357 129.339781 \nL 310.378911 130.957368 \nL 318.106487 132.709451 \nL 325.422569 134.601493 \nL 332.302359 136.638652 \nL 337.686254 138.45052 \nL 342.740633 140.36873 \nL 347.455734 142.395181 \nL 351.823255 144.531266 \nL 355.83644 146.777801 \nL 358.788225 148.654693 \nL 361.507762 150.602156 \nL 363.993642 152.619645 \nL 366.245009 154.706283 \nL 368.261634 156.860853 \nL 370.043849 159.081784 \nL 371.592545 161.367134 \nL 372.909151 163.71459 \nL 373.995646 166.121455 \nL 374.854488 168.58465 \nL 375.488604 171.100703 \nL 375.901389 173.665762 \nL 376.096674 176.275594 \nL 376.07862 178.92558 \nL 375.851802 181.610739 \nL 375.421123 184.325738 \nL 374.791741 187.064891 \nL 373.969109 189.82219 \nL 372.677714 193.284676 \nL 371.104699 196.752634 \nL 369.261886 200.212459 \nL 367.161362 203.649958 \nL 364.815359 207.050476 \nL 362.236158 210.398943 \nL 359.436004 213.680004 \nL 356.427016 216.878103 \nL 353.221097 219.977585 \nL 349.829863 222.96279 \nL 346.264611 225.8182 \nL 342.536202 228.528486 \nL 338.655075 231.078689 \nL 334.631143 233.454264 \nL 330.473862 235.641219 \nL 326.192104 237.626243 \nL 321.794204 239.396717 \nL 317.287971 240.940925 \nL 312.680677 242.248063 \nL 307.979056 243.308362 \nL 303.18938 244.113117 \nL 298.31744 244.65481 \nL 293.368643 244.927136 \nL 288.348021 244.925055 \nL 283.26029 244.644839 \nL 278.109937 244.084088 \nL 272.901262 243.241766 \nL 267.638449 242.118201 \nL 262.325648 240.715075 \nL 256.967048 239.035435 \nL 251.566949 237.083655 \nL 246.129835 234.865404 \nL 240.660459 232.38758 \nL 235.163913 229.65833 \nL 229.645702 226.686917 \nL 224.111807 223.483712 \nL 217.459668 219.34999 \nL 210.806814 214.920346 \nL 204.167059 210.217952 \nL 197.555697 205.267506 \nL 190.989592 200.095035 \nL 183.411064 193.816065 \nL 175.951476 187.316253 \nL 168.645949 180.641135 \nL 161.53248 173.836832 \nL 154.65169 166.949561 \nL 148.046533 160.025177 \nL 141.761893 153.108723 \nL 135.844069 146.24401 \nL 131.09935 140.433178 \nL 126.688622 134.7168 \nL 122.641508 129.119061 \nL 118.987086 123.662772 \nL 116.262027 119.239354 \nL 113.844839 114.940504 \nL 111.750363 110.776911 \nL 109.992502 106.758426 \nL 108.58413 102.894036 \nL 107.716907 99.918944 \nL 107.086165 97.051423 \nL 106.696658 94.294844 \nL 106.552538 91.652221 \nL 106.657247 89.12619 \nL 107.013562 86.71904 \nL 107.623495 84.432701 \nL 108.48834 82.268758 \nL 109.608632 80.228451 \nL 110.984076 78.312719 \nL 112.613596 76.522164 \nL 114.495293 74.857101 \nL 116.626471 73.317569 \nL 119.003607 71.903329 \nL 121.622374 70.613921 \nL 124.477632 69.448653 \nL 127.56347 68.406606 \nL 130.873206 67.486725 \nL 135.313839 66.50674 \nL 140.076578 65.712965 \nL 145.143666 65.102409 \nL 150.495809 64.671919 \nL 156.112273 64.4182 \nL 163.169815 64.342349 \nL 170.535868 64.510459 \nL 178.168071 64.916924 \nL 186.022367 65.556412 \nL 194.053418 66.423991 \nL 202.214985 67.515214 \nL 210.460358 68.826151 \nL 218.742748 70.353462 \nL 227.015689 72.094429 \nL 235.233433 74.046908 \nL 243.351324 76.20927 \nL 251.326165 78.580413 \nL 259.116542 81.159592 \nL 265.43919 83.4675 \nL 271.584935 85.919399 \nL 277.533538 88.515134 \nL 283.266144 91.254497 \nL 288.765328 94.137188 \nL 294.015187 97.162701 \nL 299.001389 100.330288 \nL 303.711213 103.638882 \nL 307.272584 106.386313 \nL 310.645072 109.22209 \nL 313.824477 112.145026 \nL 316.807282 115.153721 \nL 319.59064 118.246499 \nL 322.172414 121.421416 \nL 324.551116 124.676228 \nL 326.725913 128.008383 \nL 328.696632 131.415004 \nL 330.463686 134.892877 \nL 332.028115 138.438437 \nL 333.391484 142.047759 \nL 334.555933 145.716555 \nL 335.524114 149.440166 \nL 336.299171 153.213558 \nL 336.884683 157.031327 \nL 337.284628 160.887701 \nL 337.503386 164.776542 \nL 337.529248 169.67332 \nL 337.289236 174.597216 \nL 336.793843 179.533984 \nL 336.05407 184.468624 \nL 335.081304 189.385447 \nL 333.887197 194.268133 \nL 332.48357 199.099822 \nL 330.882325 203.86318 \nL 329.095308 208.540508 \nL 327.13425 213.113838 \nL 325.010676 217.565041 \nL 322.73579 221.875932 \nL 320.320443 226.028411 \nL 317.775063 230.004539 \nL 315.109584 233.786694 \nL 312.333406 237.357699 \nL 309.455407 240.700923 \nL 306.483841 243.800383 \nL 303.426398 246.640942 \nL 300.290132 249.208343 \nL 297.081503 251.489364 \nL 294.466452 253.099814 \nL 291.811584 254.513557 \nL 289.119396 255.725512 \nL 286.392183 256.7311 \nL 283.632011 257.526344 \nL 280.84077 258.107862 \nL 278.020161 258.472899 \nL 275.171717 258.619313 \nL 272.296839 258.545597 \nL 269.39679 258.250919 \nL 266.472719 257.735067 \nL 263.525698 256.998484 \nL 260.556734 256.042285 \nL 257.566777 254.868207 \nL 254.55676 253.478613 \nL 251.527612 251.876488 \nL 247.715733 249.5805 \nL 243.87741 246.966384 \nL 240.014785 244.043776 \nL 236.13023 240.823577 \nL 232.226432 237.317901 \nL 227.520792 232.752936 \nL 222.79795 227.820631 \nL 218.065017 222.547492 \nL 213.330243 216.961569 \nL 207.816748 210.088493 \nL 202.331073 202.877832 \nL 196.893132 195.379087 \nL 190.765846 186.520676 \nL 184.768299 177.426554 \nL 178.94263 168.171024 \nL 173.33497 158.826743 \nL 167.994883 149.463904 \nL 163.582931 141.308984 \nL 159.452285 133.2338 \nL 155.639953 125.278451 \nL 152.653753 118.583396 \nL 149.95183 112.025826 \nL 147.556754 105.626054 \nL 145.490228 99.402764 \nL 144.033955 94.363835 \nL 142.831249 89.468273 \nL 141.892384 84.724243 \nL 141.226689 80.139118 \nL 140.842436 75.719472 \nL 140.742473 72.306836 \nL 140.830231 69.0065 \nL 141.108197 65.820776 \nL 141.578282 62.751719 \nL 142.241787 59.801109 \nL 143.099394 56.97046 \nL 144.15112 54.261011 \nL 145.39633 51.673791 \nL 146.83372 49.209604 \nL 148.461296 46.869018 \nL 150.276371 44.652423 \nL 152.275571 42.560031 \nL 154.45485 40.591903 \nL 156.809467 38.747935 \nL 159.334022 37.027921 \nL 162.022465 35.431535 \nL 164.868096 33.95835 \nL 168.635007 32.289382 \nL 172.620537 30.81107 \nL 176.807779 29.522228 \nL 181.178596 28.421662 \nL 185.713707 27.508166 \nL 190.392818 26.780571 \nL 195.194741 26.237798 \nL 200.09755 25.878889 \nL 205.078706 25.703012 \nL 211.127108 25.732653 \nL 217.214902 26.024124 \nL 223.301545 26.57702 \nL 229.346622 27.391322 \nL 234.323626 28.269829 \nL 239.221412 29.3305 \nL 244.017925 30.57384 \nL 248.691828 32.000496 \nL 253.222635 33.611184 \nL 257.590842 35.406659 \nL 261.778047 37.387689 \nL 265.767041 39.554966 \nL 269.541933 41.909119 \nL 272.397889 43.927291 \nL 275.100738 46.065494 \nL 277.644358 48.323765 \nL 280.023226 50.702014 \nL 282.2325 53.200021 \nL 284.267979 55.817405 \nL 286.126124 58.553589 \nL 287.804076 61.407821 \nL 289.299629 64.379136 \nL 290.611233 67.466312 \nL 291.738003 70.667915 \nL 292.67967 73.982216 \nL 293.43661 77.407224 \nL 294.009779 80.940654 \nL 294.400732 84.579915 \nL 294.611578 88.322104 \nL 294.644935 92.163991 \nL 294.441864 97.101078 \nL 293.973541 102.180628 \nL 293.24814 107.394075 \nL 292.274756 112.731994 \nL 291.06331 118.184074 \nL 289.624416 123.739154 \nL 287.613313 130.524219 \nL 285.311033 137.417861 \nL 282.738457 144.395999 \nL 279.916865 151.432934 \nL 276.867649 158.501446 \nL 273.050898 166.749705 \nL 268.986366 174.95436 \nL 264.706054 183.065875 \nL 260.240462 191.033162 \nL 255.618253 198.804069 \nL 250.86605 206.325896 \nL 246.008219 213.545949 \nL 241.777063 219.454878 \nL 237.497027 225.071725 \nL 233.179335 230.365352 \nL 228.833989 235.305893 \nL 225.198151 239.132849 \nL 221.553804 242.679527 \nL 217.905004 245.931572 \nL 214.255374 248.875709 \nL 210.608151 251.499911 \nL 206.966244 253.793473 \nL 204.058328 255.38397 \nL 201.156761 256.752797 \nL 198.26273 257.896491 \nL 195.377379 258.812272 \nL 192.501829 259.498005 \nL 189.637207 259.952229 \nL 186.78465 260.174174 \nL 183.945347 260.163769 \nL 181.120545 259.921615 \nL 178.311576 259.448997 \nL 175.519877 258.747917 \nL 172.747012 257.821013 \nL 169.994672 256.671589 \nL 167.264726 255.303603 \nL 164.559196 253.721634 \nL 161.880306 251.930827 \nL 159.230485 249.936911 \nL 155.963122 247.168527 \nL 152.750961 244.106015 \nL 149.600214 240.763835 \nL 146.51768 237.157522 \nL 143.510756 233.303485 \nL 140.587434 229.218904 \nL 137.756283 224.921637 \nL 135.026457 220.430051 \nL 131.898063 214.810082 \nL 128.947209 208.970228 \nL 126.192509 202.94364 \nL 123.653342 196.763416 \nL 121.349684 190.462307 \nL 119.624597 185.142252 \nL 118.089141 179.778745 \nL 116.755247 174.389431 \nL 115.634703 168.991377 \nL 114.739079 163.600968 \nL 114.07965 158.233876 \nL 113.667208 152.904979 \nL 113.512032 147.628322 \nL 113.623669 142.41708 \nL 113.911005 138.303467 \nL 114.37882 134.245454 \nL 115.030772 130.248528 \nL 115.870074 126.31779 \nL 116.899458 122.457964 \nL 118.121166 118.673398 \nL 119.536868 114.968072 \nL 121.147676 111.345601 \nL 122.954107 107.809253 \nL 124.956057 104.361955 \nL 127.152783 101.006297 \nL 129.542879 97.744577 \nL 132.124281 94.578784 \nL 134.894239 91.51063 \nL 137.849307 88.541582 \nL 140.985361 85.672857 \nL 144.297578 82.905465 \nL 147.780452 80.240216 \nL 151.427808 77.677752 \nL 156.207789 74.619951 \nL 161.21919 71.724193 \nL 166.445661 68.990914 \nL 171.869396 66.420369 \nL 177.471188 64.012736 \nL 183.230557 61.768094 \nL 189.125839 59.686576 \nL 195.134307 57.768316 \nL 202.460503 55.682318 \nL 209.873196 53.832566 \nL 217.328704 52.220195 \nL 224.782431 50.846763 \nL 232.189251 49.714289 \nL 239.503918 48.825288 \nL 246.681477 48.182745 \nL 253.677669 47.79006 \nL 260.449356 47.651006 \nL 266.9549 47.769682 \nL 272.144156 48.068549 \nL 277.099149 48.551873 \nL 281.799306 49.222179 \nL 286.225419 50.081912 \nL 290.359747 51.133408 \nL 294.18617 52.378794 \nL 297.015834 53.515979 \nL 299.63256 54.779298 \nL 302.030494 56.16945 \nL 304.20457 57.68694 \nL 306.150473 59.332113 \nL 307.864692 61.105111 \nL 309.344507 63.005828 \nL 310.587979 65.033972 \nL 311.593976 67.188939 \nL 312.362127 69.469916 \nL 312.892849 71.875769 \nL 313.187286 74.405108 \nL 313.247346 77.056215 \nL 313.075603 79.827056 \nL 312.675366 82.715308 \nL 312.050535 85.718305 \nL 311.205653 88.833054 \nL 309.84796 92.878554 \nL 308.165612 97.086249 \nL 306.170939 101.448106 \nL 303.877314 105.955295 \nL 300.750492 111.54217 \nL 297.239834 117.306331 \nL 293.372611 123.228148 \nL 289.176941 129.286491 \nL 283.905067 136.497008 \nL 278.27075 143.824704 \nL 272.3193 151.229482 \nL 265.186023 159.732569 \nL 257.759815 168.216402 \nL 250.100632 176.61393 \nL 242.26414 184.85689 \nL 234.301209 192.876582 \nL 227.266001 199.656964 \nL 220.196417 206.169179 \nL 213.116731 212.369545 \nL 207.056622 217.404082 \nL 201.016578 222.153518 \nL 195.006976 226.594143 \nL 189.036912 230.703893 \nL 184.097839 233.861295 \nL 179.195854 236.764217 \nL 174.334644 239.403111 \nL 169.517556 241.769547 \nL 164.747683 243.856307 \nL 160.027935 245.657396 \nL 155.361106 247.168102 \nL 150.749982 248.385061 \nL 146.197369 249.306261 \nL 142.599371 249.829774 \nL 139.042265 250.16386 \nL 135.527732 250.309387 \nL 132.057561 250.267774 \nL 128.633678 250.040985 \nL 125.258166 249.631562 \nL 121.933275 249.042535 \nL 118.661447 248.277471 \nL 115.445329 247.340437 \nL 111.507858 245.934264 \nL 107.667892 244.276374 \nL 103.932085 242.377668 \nL 100.307561 240.249967 \nL 96.802083 237.905981 \nL 93.423952 235.359178 \nL 90.182075 232.623703 \nL 87.085815 229.714236 \nL 84.145131 226.645923 \nL 81.370371 223.434239 \nL 78.772338 220.094902 \nL 76.362148 216.643752 \nL 74.151279 213.096631 \nL 72.151369 209.469311 \nL 70.374197 205.777358 \nL 68.831607 202.036042 \nL 67.535386 198.260263 \nL 66.497186 194.46444 \nL 65.728395 190.662448 \nL 65.314775 187.625339 \nL 65.086127 184.599248 \nL 65.047653 181.590335 \nL 65.204339 178.604454 \nL 65.560848 175.647122 \nL 66.121537 172.723513 \nL 66.890397 169.838448 \nL 67.87104 166.996384 \nL 69.066646 164.201415 \nL 70.479934 161.457267 \nL 72.113158 158.767299 \nL 73.968068 156.134506 \nL 76.045862 153.561521 \nL 78.347228 151.050628 \nL 80.872245 148.603767 \nL 83.620434 146.222548 \nL 86.590731 143.908265 \nL 89.781421 141.661912 \nL 94.076121 138.950552 \nL 98.705631 136.347237 \nL 103.662528 133.852204 \nL 108.937872 131.465175 \nL 114.521156 129.185444 \nL 120.40042 127.011941 \nL 126.562212 124.943311 \nL 134.308276 122.597186 \nL 142.411404 120.396921 \nL 150.840593 118.339547 \nL 159.56231 116.422216 \nL 170.059386 114.35896 \nL 180.845097 112.479652 \nL 191.855408 110.782251 \nL 203.023378 109.266125 \nL 215.890916 107.75673 \nL 228.767877 106.489762 \nL 241.546631 105.472635 \nL 254.119241 104.715777 \nL 264.867087 104.277413 \nL 275.305078 104.058918 \nL 285.365188 104.071949 \nL 294.982213 104.329029 \nL 302.825862 104.753498 \nL 310.262152 105.375115 \nL 317.25718 106.202014 \nL 322.726769 107.053533 \nL 327.851877 108.057208 \nL 332.617685 109.216887 \nL 337.010977 110.535966 \nL 340.249631 111.707937 \nL 343.237398 112.984943 \nL 345.969946 114.3679 \nL 348.443661 115.857418 \nL 350.655685 117.453794 \nL 352.603903 119.156973 \nL 354.286955 120.966548 \nL 355.704234 122.881728 \nL 356.855843 124.901341 \nL 357.742617 127.023808 \nL 358.366088 129.247138 \nL 358.728485 131.568914 \nL 358.832656 133.986301 \nL 358.682099 136.496033 \nL 358.280931 139.094416 \nL 357.633792 141.777334 \nL 356.745886 144.540246 \nL 355.622872 147.378198 \nL 354.270879 150.285834 \nL 352.268855 154.009578 \nL 349.932811 157.821142 \nL 347.277039 161.707607 \nL 344.316415 165.655243 \nL 341.066317 169.649582 \nL 337.542477 173.675486 \nL 332.974949 178.526062 \nL 328.063832 183.371337 \nL 322.836703 188.182421 \nL 317.320751 192.929863 \nL 311.542542 197.583926 \nL 305.527831 202.114859 \nL 299.301365 206.493143 \nL 292.886765 210.689795 \nL 287.413718 214.027896 \nL 281.837826 217.204511 \nL 276.1707 220.204524 \nL 270.423293 223.013543 \nL 264.605936 225.618019 \nL 258.728333 228.005319 \nL 252.799596 230.163856 \nL 246.828295 232.083099 \nL 240.822501 233.753759 \nL 234.789829 235.167769 \nL 228.737516 236.318362 \nL 222.672485 237.200172 \nL 216.60141 237.809187 \nL 210.530792 238.142874 \nL 204.46704 238.200127 \nL 198.416543 237.9813 \nL 192.385753 237.488207 \nL 186.381257 236.724109 \nL 180.409859 235.693681 \nL 174.478638 234.402962 \nL 168.595024 232.859374 \nL 162.766862 231.071578 \nL 157.002448 229.049447 \nL 151.310603 226.804 \nL 145.700673 224.347323 \nL 140.182612 221.692453 \nL 134.76695 218.853311 \nL 129.464823 215.844593 \nL 124.28799 212.681642 \nL 119.248788 209.380372 \nL 113.401607 205.259319 \nL 107.794518 200.991533 \nL 102.451773 196.606283 \nL 97.398468 192.132967 \nL 92.660306 187.600834 \nL 88.263412 183.038719 \nL 84.878981 179.234382 \nL 81.764953 175.444594 \nL 78.936307 171.684626 \nL 76.407734 167.96912 \nL 74.193526 164.312015 \nL 72.307403 160.726473 \nL 70.762423 157.224808 \nL 69.780316 154.49157 \nL 69.030264 151.824746 \nL 68.517653 149.229345 \nL 68.247501 146.70996 \nL 68.224257 144.270766 \nL 68.451864 141.91551 \nL 68.933719 139.647506 \nL 69.672601 137.469645 \nL 70.67068 135.384384 \nL 71.929502 133.393758 \nL 73.449922 131.499385 \nL 75.232126 129.702471 \nL 77.275597 128.003835 \nL 79.579135 126.403907 \nL 82.140831 124.902754 \nL 84.958044 123.500095 \nL 88.027435 122.195324 \nL 91.344946 120.987529 \nL 95.833468 119.612313 \nL 100.691454 118.383848 \nL 105.906498 117.298699 \nL 111.464628 116.35297 \nL 118.56536 115.396096 \nL 126.108318 114.62591 \nL 134.061335 114.034128 \nL 143.811744 113.557928 \nL 154.014138 113.29975 \nL 164.606085 113.246805 \nL 177.10422 113.422421 \nL 189.924532 113.834934 \nL 202.963137 114.471318 \nL 216.114732 115.321621 \nL 229.273807 116.37923 \nL 242.33586 117.640953 \nL 255.198576 119.106942 \nL 267.76296 120.780469 \nL 278.43756 122.419713 \nL 288.751196 124.227858 \nL 298.647498 126.211312 \nL 306.758143 128.056269 \nL 314.493408 130.039752 \nL 321.825612 132.166242 \nL 327.609817 134.050598 \nL 333.083831 136.039361 \nL 338.236207 138.134392 \nL 343.056897 140.337148 \nL 347.537415 142.648618 \nL 351.670709 145.069234 \nL 354.723579 147.084211 \nL 357.548544 149.168532 \nL 360.144072 151.321491 \nL 362.509226 153.542068 \nL 364.643708 155.828907 \nL 366.547735 158.180311 \nL 368.222143 160.594223 \nL 369.668269 163.068223 \nL 370.887999 165.599515 \nL 371.883723 168.184926 \nL 372.658288 170.820906 \nL 373.21501 173.503528 \nL 373.557616 176.228483 \nL 373.690245 178.991093 \nL 373.617333 181.786319 \nL 373.343729 184.60877 \nL 372.874508 187.452714 \nL 372.215033 190.312094 \nL 371.131647 193.898313 \nL 369.771045 197.485627 \nL 368.144875 201.060351 \nL 366.265029 204.608229 \nL 364.14357 208.114534 \nL 361.792617 211.564143 \nL 359.224221 214.94164 \nL 356.450318 218.231389 \nL 353.482617 221.417688 \nL 350.332573 224.48481 \nL 347.011255 227.417168 \nL 343.529342 230.199385 \nL 339.897055 232.81645 \nL 336.124112 235.253732 \nL 332.219718 237.497205 \nL 328.192528 239.533469 \nL 324.050636 241.349896 \nL 319.801589 242.934681 \nL 315.452396 244.276976 \nL 311.009493 245.366969 \nL 306.478861 246.195919 \nL 302.794883 246.665995 \nL 299.060866 246.960832 \nL 295.279251 247.077622 \nL 291.45233 247.014108 \nL 287.582277 246.768572 \nL 283.671143 246.339843 \nL 278.727451 245.545432 \nL 273.726363 244.463914 \nL 268.671509 243.09669 \nL 263.566499 241.446495 \nL 258.415014 239.517431 \nL 253.220857 237.314917 \nL 247.988054 234.845603 \nL 242.720916 232.117353 \nL 237.424124 229.139228 \nL 232.102784 225.921344 \nL 225.692704 221.759199 \nL 219.266157 217.289022 \nL 212.835222 212.533661 \nL 206.413412 207.517536 \nL 200.015763 202.266391 \nL 192.604659 195.878905 \nL 185.278392 189.252311 \nL 178.069253 182.431906 \nL 171.012529 175.463669 \nL 164.146331 168.393778 \nL 157.51135 161.268146 \nL 151.150522 154.131987 \nL 145.108588 147.029408 \nL 139.431583 140.003029 \nL 134.166226 133.093626 \nL 130.016154 127.293716 \nL 126.231943 121.631044 \nL 122.841944 116.127069 \nL 120.337776 111.67607 \nL 118.141324 107.359794 \nL 116.266749 103.188107 \nL 114.727211 99.17002 \nL 113.744933 96.071659 \nL 112.990388 93.080639 \nL 112.468584 90.200389 \nL 112.183912 87.433984 \nL 112.140156 84.784157 \nL 112.340403 82.253295 \nL 112.787042 79.843435 \nL 113.48171 77.556285 \nL 114.425343 75.393232 \nL 115.61801 73.35533 \nL 117.059071 71.443357 \nL 118.747039 69.657793 \nL 120.67965 67.998831 \nL 122.853801 66.466428 \nL 125.265603 65.0603 \nL 127.910347 63.779942 \nL 130.782555 62.624656 \nL 133.875974 61.593537 \nL 138.043082 60.477658 \nL 142.529535 59.551817 \nL 147.318359 58.813445 \nL 152.390993 58.259753 \nL 157.727386 57.887817 \nL 163.306143 57.694627 \nL 170.288646 57.69453 \nL 177.54642 57.942422 \nL 185.036502 58.43346 \nL 192.714461 59.163091 \nL 200.534813 60.127207 \nL 208.45141 61.322177 \nL 216.417861 62.744927 \nL 224.387951 64.392916 \nL 232.316022 66.264108 \nL 240.157386 68.357014 \nL 247.86867 70.670598 \nL 255.408193 73.204179 \nL 261.531243 75.483252 \nL 267.485685 77.914654 \nL 273.251031 80.49827 \nL 278.808098 83.233896 \nL 284.139135 86.121236 \nL 289.227878 89.159825 \nL 294.059647 92.34894 \nL 297.731197 95.007919 \nL 301.223949 97.761868 \nL 304.532667 100.609897 \nL 307.652783 103.550912 \nL 310.580461 106.583585 \nL 313.312517 109.706344 \nL 315.846476 112.917351 \nL 318.180542 116.214479 \nL 320.313583 119.595294 \nL 322.24512 123.057049 \nL 323.975289 126.59666 \nL 325.504868 130.210692 \nL 326.835195 133.895352 \nL 327.968179 137.646487 \nL 328.906278 141.459566 \nL 329.652408 145.329687 \nL 330.209999 149.251567 \nL 330.582892 153.219548 \nL 330.775307 157.227599 \nL 330.76911 162.284227 \nL 330.497827 167.380155 \nL 329.971815 172.501257 \nL 329.201972 177.632609 \nL 328.199651 182.758549 \nL 326.976502 187.862723 \nL 325.544371 192.928176 \nL 323.915228 197.93742 \nL 322.101046 202.872532 \nL 320.113679 207.715242 \nL 317.964802 212.447051 \nL 315.66578 217.049313 \nL 313.22768 221.503377 \nL 310.661148 225.790703 \nL 307.976358 229.892982 \nL 305.182967 233.792246 \nL 302.290104 237.470992 \nL 299.306298 240.912374 \nL 296.239491 244.100205 \nL 293.097028 247.019218 \nL 289.885644 249.655066 \nL 286.611489 251.994483 \nL 283.950721 253.644429 \nL 281.255933 255.09132 \nL 278.529491 256.330109 \nL 275.773567 257.35633 \nL 272.990129 258.166116 \nL 270.180965 258.756206 \nL 267.347722 259.123997 \nL 264.491864 259.26755 \nL 261.614756 259.185554 \nL 258.717649 258.877389 \nL 255.801704 258.343091 \nL 252.868018 257.583367 \nL 249.917647 256.599591 \nL 246.951612 255.393791 \nL 243.970945 253.968641 \nL 240.976686 252.327444 \nL 237.216423 249.978135 \nL 233.438912 247.306368 \nL 229.646656 244.322442 \nL 225.842442 241.037941 \nL 222.029405 237.46566 \nL 218.211087 233.619487 \nL 213.6278 228.663528 \nL 209.050575 223.362011 \nL 204.488453 217.743831 \nL 199.951711 211.83917 \nL 194.706446 204.629935 \nL 189.53225 197.123831 \nL 184.452345 189.372192 \nL 179.492435 181.426445 \nL 174.680563 173.337607 \nL 170.046969 165.155784 \nL 165.623784 156.929717 \nL 161.444716 148.706371 \nL 157.544627 140.530591 \nL 153.959091 132.444799 \nL 151.163231 125.615949 \nL 148.647011 118.905817 \nL 146.432209 112.336134 \nL 144.539792 105.926948 \nL 143.223431 100.721853 \nL 142.155567 95.650684 \nL 141.346152 90.722311 \nL 140.804265 85.944771 \nL 140.537944 81.32528 \nL 140.527968 77.747828 \nL 140.701752 74.278585 \nL 141.061743 70.920164 \nL 141.609793 67.674876 \nL 142.347193 64.544758 \nL 143.274602 61.531564 \nL 144.392053 58.636754 \nL 145.698924 55.861586 \nL 147.193945 53.207026 \nL 148.875167 50.673871 \nL 150.739961 48.262686 \nL 152.785033 45.973836 \nL 155.006398 43.807551 \nL 157.399415 41.763874 \nL 159.958768 39.842718 \nL 162.678498 38.043914 \nL 165.552016 36.367144 \nL 169.349155 34.442215 \nL 173.359952 32.706517 \nL 177.567707 31.159086 \nL 181.954482 29.798884 \nL 186.501184 28.624877 \nL 191.187684 27.636079 \nL 195.992966 26.831545 \nL 200.89523 26.210469 \nL 205.872059 25.772185 \nL 211.910406 25.486788 \nL 217.982951 25.463276 \nL 224.049211 25.701507 \nL 230.068784 26.201693 \nL 235.020593 26.819032 \nL 239.889547 27.619236 \nL 244.653519 28.602976 \nL 249.291072 29.771077 \nL 253.781606 31.124424 \nL 258.105488 32.663965 \nL 262.244176 34.390674 \nL 266.180306 36.305472 \nL 269.897831 38.409208 \nL 272.704542 40.228735 \nL 275.355088 42.169923 \nL 277.84325 44.232976 \nL 280.163453 46.417965 \nL 282.310757 48.724827 \nL 284.280922 51.153378 \nL 286.07034 53.703253 \nL 287.676101 56.373896 \nL 289.095969 59.164543 \nL 290.328362 62.074231 \nL 291.372376 65.101745 \nL 292.227742 68.245634 \nL 292.894837 71.504179 \nL 293.374652 74.875379 \nL 293.668768 78.356945 \nL 293.779336 81.94629 \nL 293.70906 85.640511 \nL 293.371845 90.400831 \nL 292.764444 95.312932 \nL 291.895249 100.368992 \nL 290.773635 105.56033 \nL 289.40982 110.877434 \nL 287.814738 116.309944 \nL 285.611678 122.965471 \nL 283.113157 129.750089 \nL 280.34077 136.641192 \nL 277.316564 143.614554 \nL 273.499659 151.819658 \nL 269.405228 160.058239 \nL 265.067577 168.284546 \nL 260.519849 176.450764 \nL 255.793598 184.50738 \nL 250.918496 192.40361 \nL 245.92205 200.087875 \nL 240.829437 207.508322 \nL 235.663394 214.613368 \nL 231.192345 220.413911 \nL 226.693614 225.914361 \nL 222.177259 231.084711 \nL 217.652128 235.89632 \nL 213.880089 239.612472 \nL 210.111268 243.046167 \nL 206.349153 246.183884 \nL 202.59684 249.013231 \nL 198.8571 251.523114 \nL 195.132428 253.70371 \nL 192.165086 255.205428 \nL 189.209967 256.487415 \nL 186.268137 257.546695 \nL 183.34065 258.380949 \nL 180.428573 258.988477 \nL 177.533 259.368285 \nL 174.655072 259.520039 \nL 171.79601 259.444082 \nL 168.957119 259.141434 \nL 166.139831 258.613787 \nL 163.345691 257.863477 \nL 160.576419 256.893525 \nL 157.833878 255.707544 \nL 155.120127 254.309785 \nL 152.437413 252.705109 \nL 149.788199 250.89892 \nL 146.527896 248.366915 \nL 143.329894 245.542102 \nL 140.200523 242.438383 \nL 137.146704 239.070664 \nL 134.175967 235.454795 \nL 131.29643 231.607408 \nL 128.516822 227.545826 \nL 125.846421 223.287918 \nL 123.29505 218.851996 \nL 120.873037 214.256642 \nL 118.591154 209.520635 \nL 116.460559 204.662795 \nL 114.492744 199.701881 \nL 112.69945 194.656469 \nL 111.092569 189.544856 \nL 109.684094 184.384943 \nL 108.48595 179.194153 \nL 107.509972 173.989338 \nL 106.76774 168.786712 \nL 106.270484 163.601773 \nL 106.028951 158.449255 \nL 106.053327 153.343061 \nL 106.270656 149.30026 \nL 106.668715 145.301746 \nL 107.251597 141.353422 \nL 108.023006 137.460807 \nL 108.986168 133.629047 \nL 110.143859 129.86291 \nL 111.498311 126.166783 \nL 113.051226 122.544689 \nL 114.803759 119.000284 \nL 116.756448 115.536871 \nL 118.909178 112.15741 \nL 121.26124 108.864527 \nL 123.811245 105.660543 \nL 126.557147 102.547477 \nL 129.496208 99.527065 \nL 132.62499 96.60079 \nL 135.939374 93.769884 \nL 139.434544 91.035365 \nL 143.104991 88.39806 \nL 147.930031 85.239112 \nL 153.005648 82.234007 \nL 158.316665 79.383384 \nL 163.846377 76.687671 \nL 169.576602 74.147094 \nL 175.487757 71.76183 \nL 181.558973 69.532013 \nL 187.768192 67.457811 \nL 195.368777 65.174487 \nL 203.092967 63.116225 \nL 210.897386 61.284061 \nL 218.737385 59.679456 \nL 226.567424 58.304359 \nL 234.341471 57.161258 \nL 242.013394 56.253155 \nL 249.537379 55.583593 \nL 256.868345 55.15653 \nL 263.962351 54.976358 \nL 270.777007 55.047763 \nL 276.213216 55.302961 \nL 281.405061 55.739128 \nL 286.331579 56.359124 \nL 290.973185 57.165722 \nL 295.311796 58.161541 \nL 299.330949 59.34901 \nL 302.306271 60.438436 \nL 305.060919 61.652844 \nL 307.588921 62.993032 \nL 309.885062 64.4596 \nL 311.94494 66.052976 \nL 313.764931 67.773335 \nL 315.342222 69.620634 \nL 316.674836 71.594579 \nL 317.761548 73.694596 \nL 318.601948 75.919817 \nL 319.196423 78.269099 \nL 319.546118 80.740973 \nL 319.652919 83.333648 \nL 319.519432 86.045005 \nL 319.148951 88.872591 \nL 318.545455 91.813614 \nL 317.71355 94.864929 \nL 316.658383 98.02304 \nL 315.034237 102.114993 \nL 313.08252 106.359546 \nL 310.816598 110.747607 \nL 308.250803 115.269272 \nL 304.797371 120.856483 \nL 300.961332 126.600637 \nL 296.771059 132.480251 \nL 292.255565 138.472422 \nL 286.615565 145.573177 \nL 280.619245 152.753681 \nL 274.312315 159.97161 \nL 267.739167 167.183112 \nL 260.942358 174.343166 \nL 253.962193 181.405997 \nL 246.836365 188.325484 \nL 239.599728 195.055619 \nL 232.284137 201.550968 \nL 224.918374 207.767129 \nL 218.584526 212.840538 \nL 212.247259 217.651509 \nL 205.919534 222.175547 \nL 199.612895 226.389698 \nL 193.337598 230.272773 \nL 188.138718 233.241821 \nL 182.972676 235.957522 \nL 177.843795 238.410993 \nL 172.756064 240.594485 \nL 167.713201 242.50149 \nL 162.718739 244.126746 \nL 157.776105 245.46634 \nL 152.888689 246.51766 \nL 148.059905 247.279464 \nL 144.241474 247.680491 \nL 140.464718 247.89699 \nL 136.731627 247.930199 \nL 133.044304 247.781917 \nL 129.404979 247.4545 \nL 125.816048 246.950825 \nL 121.404656 246.07857 \nL 117.081423 244.943971 \nL 112.852236 243.555909 \nL 108.723505 241.924347 \nL 104.70218 240.060258 \nL 100.795785 237.975579 \nL 97.012369 235.683036 \nL 93.360599 233.196152 \nL 89.849633 230.529061 \nL 86.489167 227.696428 \nL 83.289399 224.713374 \nL 80.260963 221.595331 \nL 77.414926 218.357925 \nL 74.762699 215.016906 \nL 72.315909 211.588019 \nL 70.086472 208.086882 \nL 68.08638 204.528921 \nL 66.32765 200.929245 \nL 64.822264 197.302563 \nL 63.582011 193.663103 \nL 62.618483 190.024506 \nL 62.054409 187.123023 \nL 61.680098 184.236777 \nL 61.500843 181.3718 \nL 61.521652 178.533796 \nL 61.747259 175.728129 \nL 62.182054 172.959811 \nL 62.830072 170.233499 \nL 63.69494 167.553472 \nL 64.779857 164.923639 \nL 66.087591 162.347533 \nL 67.620383 159.82831 \nL 69.380039 157.368754 \nL 71.367772 154.97128 \nL 73.584278 152.637943 \nL 76.029672 150.370446 \nL 78.703497 148.170152 \nL 81.604712 146.0381 \nL 84.731637 143.975018 \nL 88.954181 141.493795 \nL 93.520005 139.121262 \nL 98.421805 136.857081 \nL 103.650763 134.700385 \nL 109.19659 132.649849 \nL 115.047476 130.703775 \nL 122.452523 128.503545 \nL 130.252296 126.446997 \nL 138.418571 124.530039 \nL 146.920506 122.748525 \nL 157.219137 120.835962 \nL 167.872573 119.096565 \nL 178.820428 117.525546 \nL 191.611082 115.931849 \nL 204.603975 114.55083 \nL 217.696463 113.382778 \nL 230.783556 112.431259 \nL 243.759121 111.703182 \nL 256.517124 111.208712 \nL 268.952894 110.961015 \nL 279.489565 110.959071 \nL 289.635421 111.170021 \nL 299.32749 111.60664 \nL 307.228673 112.170544 \nL 314.717791 112.918396 \nL 321.762384 113.858433 \nL 327.271819 114.794281 \nL 332.436315 115.873279 \nL 337.241809 117.099269 \nL 341.675828 118.475634 \nL 345.727555 120.005203 \nL 348.687504 121.340668 \nL 351.393045 122.776412 \nL 353.841035 124.312927 \nL 356.029015 125.950371 \nL 357.955315 127.68855 \nL 359.618906 129.526905 \nL 361.019538 131.464477 \nL 362.157633 133.49992 \nL 363.034265 135.631473 \nL 363.65123 137.856953 \nL 364.01093 140.173756 \nL 364.116404 142.578845 \nL 363.971267 145.068756 \nL 363.579725 147.639593 \nL 362.946467 150.287035 \nL 362.076695 153.006343 \nL 360.976068 155.792367 \nL 359.650657 158.639559 \nL 357.687633 162.275492 \nL 355.396751 165.98531 \nL 352.791974 169.755776 \nL 349.887831 173.572876 \nL 346.699234 177.421887 \nL 343.241411 181.28747 \nL 338.758274 185.92564 \nL 333.936235 190.536496 \nL 328.801752 195.091074 \nL 323.380882 199.560006 \nL 317.698995 203.913733 \nL 311.780646 208.12285 \nL 306.685065 211.499022 \nL 301.454689 214.73816 \nL 296.101968 217.824269 \nL 290.638771 220.741895 \nL 285.076336 223.47626 \nL 279.425286 226.013334 \nL 273.695647 228.339981 \nL 267.896852 230.444001 \nL 262.037783 232.314271 \nL 256.126797 233.940812 \nL 250.17178 235.31482 \nL 244.180207 236.428803 \nL 238.159202 237.276588 \nL 232.115591 237.853386 \nL 226.055993 238.155821 \nL 219.98688 238.181955 \nL 213.914662 237.931335 \nL 207.845759 237.404954 \nL 201.786683 236.605255 \nL 195.744113 235.536118 \nL 189.724965 234.202829 \nL 183.736476 232.612057 \nL 177.786256 230.771781 \nL 171.88235 228.691238 \nL 166.033311 226.380846 \nL 160.248208 223.852136 \nL 154.536731 221.11767 \nL 148.909148 218.190948 \nL 143.376349 215.086304 \nL 137.949888 211.818824 \nL 131.595686 207.705049 \nL 125.434396 203.407548 \nL 119.489441 198.955251 \nL 113.785385 194.377604 \nL 108.347719 189.704319 \nL 103.202785 184.965077 \nL 98.377477 180.189268 \nL 93.899027 175.405726 \nL 89.794832 170.642482 \nL 86.680107 166.70813 \nL 83.859555 162.821611 \nL 81.348247 158.997202 \nL 79.160736 155.248425 \nL 77.310903 151.587975 \nL 76.083032 148.731177 \nL 75.086005 145.944102 \nL 74.325732 143.231975 \nL 73.807621 140.599606 \nL 73.536623 138.051393 \nL 73.517129 135.591309 \nL 73.75298 133.222901 \nL 74.247423 130.949278 \nL 75.003043 128.773137 \nL 76.021783 126.696733 \nL 77.304912 124.721911 \nL 78.852979 122.850106 \nL 80.665859 121.082346 \nL 82.74267 119.41928 \nL 85.081766 117.861182 \nL 87.680816 116.407965 \nL 90.536732 115.059216 \nL 93.64566 113.814202 \nL 97.003051 112.671907 \nL 101.541046 111.386489 \nL 106.447087 110.256481 \nL 111.707648 109.278333 \nL 117.307579 108.44806 \nL 124.451924 107.640829 \nL 132.029457 107.032381 \nL 140.005981 106.614488 \nL 148.344846 106.378803 \nL 158.479565 106.32318 \nL 168.989716 106.491843 \nL 179.807663 106.873162 \nL 192.458387 107.556079 \nL 205.313672 108.490098 \nL 218.266135 109.665009 \nL 231.208631 111.073728 \nL 244.035544 112.712343 \nL 255.083338 114.333986 \nL 265.897383 116.132186 \nL 276.414097 118.109588 \nL 286.573341 120.270035 \nL 294.954018 122.271077 \nL 302.9978 124.413305 \nL 310.674371 126.700072 \nL 317.956113 129.134629 \nL 323.70468 131.278465 \nL 329.149046 133.528445 \nL 334.277927 135.885698 \nL 339.081546 138.35096 \nL 343.551637 140.924491 \nL 347.681467 143.606006 \nL 350.73676 145.828385 \nL 353.56894 148.118543 \nL 356.176633 150.475418 \nL 358.559097 152.897635 \nL 360.716149 155.383491 \nL 362.648212 157.930946 \nL 364.356223 160.537606 \nL 365.841702 163.200722 \nL 367.106687 165.917176 \nL 368.153679 168.683487 \nL 368.985663 171.495797 \nL 369.606047 174.349879 \nL 370.018649 177.241144 \nL 370.227677 180.164643 \nL 370.237659 183.115069 \nL 370.053453 186.086781 \nL 369.680194 189.073808 \nL 368.955959 192.819532 \nL 367.95565 196.566441 \nL 366.690586 200.300969 \nL 365.172394 204.00896 \nL 363.412864 207.675754 \nL 361.423897 211.28627 \nL 359.217372 214.825102 \nL 356.805078 218.276598 \nL 354.198608 221.624972 \nL 351.409304 224.854399 \nL 348.448177 227.949138 \nL 345.32586 230.893629 \nL 342.052529 233.672604 \nL 338.637867 236.271196 \nL 335.091069 238.675056 \nL 331.420765 240.870433 \nL 327.635005 242.844325 \nL 323.74129 244.58453 \nL 319.746548 246.079739 \nL 315.657125 247.319679 \nL 312.321344 248.121582 \nL 308.931476 248.749983 \nL 305.490055 249.201187 \nL 301.999429 249.471989 \nL 298.461806 249.559724 \nL 294.879208 249.462257 \nL 291.253541 249.178011 \nL 287.586582 248.705943 \nL 283.880011 248.045599 \nL 279.193551 246.955598 \nL 274.45073 245.573009 \nL 269.654531 243.900622 \nL 264.807938 241.942546 \nL 259.914023 239.7042 \nL 254.976031 237.192299 \nL 249.997439 234.414731 \nL 244.982042 231.38054 \nL 239.934032 228.099908 \nL 233.839939 223.853629 \nL 227.714613 219.289695 \nL 221.568311 214.430969 \nL 215.412651 209.301848 \nL 208.236782 203.01051 \nL 201.089567 196.428905 \nL 193.997531 189.60129 \nL 186.990279 182.572995 \nL 179.127851 174.353849 \nL 171.47236 166.00129 \nL 164.081868 157.583413 \nL 157.018421 149.166897 \nL 151.157428 141.854355 \nL 145.641928 134.633779 \nL 140.517787 127.544679 \nL 136.471971 121.601267 \nL 132.775982 115.803887 \nL 129.457688 110.173126 \nL 127.000329 105.621891 \nL 124.838652 101.2098 \nL 122.98659 96.946242 \nL 121.457108 92.839801 \nL 120.26204 88.898246 \nL 119.553926 85.868416 \nL 119.071442 82.95175 \nL 118.818773 80.151086 \nL 118.799473 77.468931 \nL 119.016413 74.907473 \nL 119.471788 72.46857 \nL 120.167061 70.153772 \nL 121.102908 67.964338 \nL 122.279271 65.901214 \nL 123.695303 63.9651 \nL 125.349377 62.156395 \nL 127.239061 60.475285 \nL 129.361115 58.921699 \nL 131.711513 57.495362 \nL 134.285455 56.195796 \nL 137.077348 55.022355 \nL 140.080854 53.974215 \nL 144.121953 52.83881 \nL 148.467184 51.89562 \nL 153.099535 51.142299 \nL 158.000402 50.576386 \nL 163.149766 50.195266 \nL 168.526309 49.996338 \nL 175.246278 49.994407 \nL 182.220117 50.246648 \nL 189.405257 50.748897 \nL 196.757776 51.497329 \nL 204.232782 52.488527 \nL 211.784842 53.71953 \nL 219.368392 55.187871 \nL 226.938142 56.891598 \nL 234.449475 58.829209 \nL 241.858844 60.999647 \nL 247.924998 62.985681 \nL 253.867626 65.13267 \nL 259.664291 67.440453 \nL 265.29367 69.908935 \nL 270.735663 72.537981 \nL 275.971505 75.327407 \nL 280.983861 78.276866 \nL 285.756884 81.385845 \nL 290.276311 84.65356 \nL 293.700702 87.381265 \nL 296.948931 90.209081 \nL 300.015972 93.136055 \nL 302.897476 96.161019 \nL 305.589801 99.282586 \nL 308.089985 102.499106 \nL 310.395758 105.808661 \nL 312.505527 109.209049 \nL 314.418335 112.697749 \nL 316.133915 116.271922 \nL 317.652598 119.928388 \nL 318.975321 123.663622 \nL 320.103595 127.473737 \nL 321.03951 131.354481 \nL 321.785651 135.301223 \nL 322.345117 139.308958 \nL 322.721441 143.372297 \nL 322.918601 147.485472 \nL 322.919756 152.687629 \nL 322.657036 157.945219 \nL 322.140446 163.244549 \nL 321.380573 168.571081 \nL 320.388507 173.909477 \nL 319.175763 179.243652 \nL 317.754071 184.556835 \nL 316.135321 189.831643 \nL 314.331486 195.050168 \nL 312.354467 200.194057 \nL 309.769978 206.241846 \nL 306.972893 212.122459 \nL 303.982434 217.802926 \nL 300.816978 223.250352 \nL 298.058019 227.588378 \nL 295.199165 231.72349 \nL 292.24938 235.637694 \nL 289.217033 239.313579 \nL 286.109923 242.734425 \nL 282.935246 245.884362 \nL 279.699588 248.748486 \nL 276.408969 251.312974 \nL 273.740575 253.140276 \nL 271.043048 254.761795 \nL 268.318716 256.1722 \nL 265.569704 257.366745 \nL 262.797956 258.341275 \nL 260.00526 259.092311 \nL 257.19324 259.616975 \nL 254.363388 259.91306 \nL 251.517079 259.979063 \nL 248.655598 259.814105 \nL 245.780143 259.418055 \nL 242.89187 258.791452 \nL 239.99189 257.935492 \nL 237.081308 256.85208 \nL 234.161236 255.543764 \nL 231.232817 254.013744 \nL 228.297249 252.26586 \nL 224.619679 249.781492 \nL 220.935622 246.973681 \nL 217.248063 243.853792 \nL 213.56034 240.434416 \nL 209.876192 236.729343 \nL 206.199812 232.753396 \nL 201.805057 227.646986 \nL 197.437418 222.202123 \nL 193.107234 216.449083 \nL 188.826089 210.419267 \nL 183.910658 203.077708 \nL 179.102231 195.455438 \nL 174.425835 187.604948 \nL 169.908746 179.578557 \nL 165.580285 171.427858 \nL 161.471562 163.203223 \nL 157.615149 154.953352 \nL 154.044689 146.724883 \nL 151.237829 139.722548 \nL 148.687823 132.794777 \nL 146.416076 125.966301 \nL 144.443498 119.260205 \nL 143.042781 113.780754 \nL 141.874908 108.412605 \nL 140.95034 103.166335 \nL 140.278774 98.051666 \nL 139.869042 93.077469 \nL 139.728992 88.25174 \nL 139.815704 84.502905 \nL 140.082283 80.856993 \nL 140.531118 77.316974 \nL 141.164067 73.88551 \nL 141.982406 70.564948 \nL 142.98682 67.357324 \nL 144.177366 64.264436 \nL 145.553478 61.287763 \nL 147.113951 58.428571 \nL 148.856902 55.687879 \nL 150.779801 53.066484 \nL 152.879439 50.564979 \nL 155.151941 48.183799 \nL 157.592774 45.923172 \nL 160.19674 43.783197 \nL 162.958008 41.763857 \nL 165.870103 39.865017 \nL 169.711489 37.660555 \nL 173.76235 35.643384 \nL 178.00622 33.812778 \nL 182.425372 32.16795 \nL 187.000918 30.708068 \nL 191.71292 29.432324 \nL 196.540523 28.339967 \nL 201.462061 27.430332 \nL 206.455222 26.702915 \nL 212.509386 26.070024 \nL 218.593683 25.698682 \nL 224.667622 25.58894 \nL 230.690724 25.741287 \nL 235.642202 26.069041 \nL 240.50772 26.580058 \nL 245.264999 27.275178 \nL 249.892424 28.155367 \nL 254.369199 29.22168 \nL 258.675456 30.475266 \nL 262.792408 31.917278 \nL 266.702442 33.548857 \nL 270.389239 35.371094 \nL 273.167852 36.966807 \nL 275.78703 38.68559 \nL 278.240422 40.527778 \nL 280.522306 42.493612 \nL 282.627638 44.583197 \nL 284.552034 46.796525 \nL 286.291796 49.1334 \nL 287.843911 51.593495 \nL 289.20604 54.176261 \nL 290.376531 56.880963 \nL 291.354425 59.706644 \nL 292.1394 62.6521 \nL 292.731801 65.715897 \nL 293.132609 68.896316 \nL 293.343404 72.191373 \nL 293.366374 75.598803 \nL 293.204252 79.116031 \nL 292.746361 83.662576 \nL 292.011917 88.36989 \nL 291.009538 93.230887 \nL 289.748841 98.237687 \nL 288.240346 103.381598 \nL 286.119007 109.72185 \nL 283.677883 116.227844 \nL 280.938744 122.879964 \nL 277.924119 129.656928 \nL 274.08955 137.6906 \nL 269.947995 145.824128 \nL 265.535906 154.015989 \nL 260.888887 162.222274 \nL 255.334318 171.559433 \nL 249.566214 180.783798 \nL 243.629577 189.821614 \nL 238.329123 197.517609 \nL 232.955915 204.962555 \nL 227.532167 212.106018 \nL 222.077507 218.898356 \nL 217.390508 224.404293 \nL 212.702759 229.587554 \nL 208.022405 234.420257 \nL 203.356478 238.876136 \nL 199.483614 242.283867 \nL 195.628016 245.40001 \nL 191.792369 248.212726 \nL 187.979055 250.711415 \nL 184.190237 252.886795 \nL 181.17817 254.388974 \nL 178.184037 255.675778 \nL 175.208799 256.744446 \nL 172.253423 257.592861 \nL 169.318904 258.219525 \nL 166.40629 258.623617 \nL 163.516703 258.804931 \nL 160.651349 258.763955 \nL 157.811554 258.501805 \nL 154.998772 258.020287 \nL 152.214607 257.321793 \nL 149.460833 256.409386 \nL 146.739411 255.286742 \nL 144.052489 253.958102 \nL 141.402428 252.428303 \nL 138.791808 250.702728 \nL 135.588318 248.279482 \nL 132.456906 245.572185 \nL 129.404196 242.594529 \nL 126.437421 239.361214 \nL 123.564407 235.887809 \nL 120.793585 232.190644 \nL 118.133972 228.286686 \nL 115.595154 224.193431 \nL 113.187182 219.928767 \nL 110.920631 215.510844 \nL 108.806455 210.957962 \nL 106.855996 206.288463 \nL 105.080836 201.520584 \nL 103.492786 196.672374 \nL 102.103736 191.761567 \nL 100.925636 186.805508 \nL 99.970306 181.821043 \nL 99.249364 176.824436 \nL 98.774175 171.8313 \nL 98.555668 166.856542 \nL 98.604192 161.914278 \nL 98.841861 157.992834 \nL 99.261324 154.107136 \nL 99.866855 150.263238 \nL 100.662333 146.46683 \nL 101.651242 142.723224 \nL 102.83658 139.037363 \nL 104.220851 135.413812 \nL 105.806065 131.856768 \nL 107.593631 128.370064 \nL 109.584416 124.957173 \nL 111.778673 121.621217 \nL 114.176023 118.36499 \nL 116.775427 115.190962 \nL 119.575238 112.101287 \nL 122.573084 109.097842 \nL 125.765929 106.18223 \nL 129.15004 103.355805 \nL 132.720998 100.619683 \nL 136.473703 97.974771 \nL 141.411261 94.797988 \nL 146.61088 91.765921 \nL 152.058128 88.879317 \nL 157.737002 86.13866 \nL 163.629986 83.544262 \nL 169.718138 81.096317 \nL 175.981154 78.794976 \nL 182.397475 76.640398 \nL 190.267381 74.248989 \nL 198.284118 72.069925 \nL 206.404696 70.104224 \nL 214.584637 68.353383 \nL 222.778349 66.819394 \nL 230.939494 65.504836 \nL 239.021389 64.412868 \nL 246.977403 63.547203 \nL 254.761366 62.912107 \nL 262.327981 62.51232 \nL 269.633213 62.352968 \nL 276.634719 62.439463 \nL 283.292195 62.777392 \nL 288.549869 63.255111 \nL 293.521801 63.914471 \nL 298.188961 64.758538 \nL 302.53393 65.790162 \nL 306.540917 67.011911 \nL 309.493692 68.127719 \nL 312.214846 69.367623 \nL 314.698834 70.732403 \nL 316.940894 72.222626 \nL 318.937076 73.838628 \nL 320.684236 75.580506 \nL 322.18004 77.448085 \nL 323.423003 79.440911 \nL 324.412405 81.558228 \nL 325.148336 83.798964 \nL 325.631643 86.161725 \nL 325.863973 88.644779 \nL 325.847691 91.246049 \nL 325.585886 93.963109 \nL 325.082319 96.79317 \nL 324.341402 99.733086 \nL 323.368156 102.779349 \nL 321.833455 106.730796 \nL 319.956594 110.833974 \nL 317.750789 115.079669 \nL 315.230288 119.457801 \nL 312.410171 123.957476 \nL 308.652869 129.501012 \nL 304.515317 135.18108 \nL 300.026703 140.974596 \nL 295.216652 146.857141 \nL 289.238351 153.798409 \nL 282.909863 160.783523 \nL 276.276998 167.768486 \nL 269.384007 174.70813 \nL 262.273091 181.556535 \nL 254.984009 188.26747 \nL 247.553819 194.794873 \nL 240.016671 201.093308 \nL 233.494802 206.276109 \nL 226.935099 211.231156 \nL 220.353784 215.932585 \nL 213.76553 220.355866 \nL 207.183547 224.47804 \nL 201.711948 227.667815 \nL 196.259176 230.622499 \nL 190.830914 233.331868 \nL 185.432391 235.786817 \nL 180.068437 237.979387 \nL 174.743559 239.902828 \nL 169.462038 241.551658 \nL 164.22796 242.921716 \nL 159.045353 244.010159 \nL 153.918199 244.815481 \nL 148.850557 245.33755 \nL 143.846599 245.577614 \nL 138.910717 245.538258 \nL 134.047557 245.223407 \nL 129.262083 244.638303 \nL 124.559651 243.789437 \nL 119.946028 242.684522 \nL 115.427447 241.332424 \nL 111.010636 239.743069 \nL 106.702867 237.927421 \nL 102.511937 235.897373 \nL 98.446181 233.665635 \nL 94.514518 231.245665 \nL 90.726357 228.651555 \nL 87.091646 225.897921 \nL 83.620812 222.999825 \nL 80.32475 219.97263 \nL 77.214747 216.831916 \nL 74.302407 213.593367 \nL 71.599598 210.27265 \nL 69.118428 206.885328 \nL 66.871086 203.446744 \nL 64.869827 199.971926 \nL 63.126818 196.4755 \nL 61.654041 192.9716 \nL 60.463261 189.473775 \nL 59.721315 186.688594 \nL 59.172723 183.921857 \nL 58.822868 181.179538 \nL 58.67685 178.467273 \nL 58.739494 175.790356 \nL 59.015283 173.153721 \nL 59.50832 170.561933 \nL 60.22231 168.019184 \nL 61.160547 165.529287 \nL 62.325887 163.095664 \nL 63.720654 160.721357 \nL 65.34672 158.409023 \nL 67.205403 156.160943 \nL 69.297489 153.979027 \nL 71.623174 151.86482 \nL 74.182081 149.819521 \nL 76.973259 147.843988 \nL 79.995156 145.938761 \nL 84.0936 143.656423 \nL 88.543534 141.484122 \nL 93.337858 139.421071 \nL 98.468042 137.465917 \nL 103.924059 135.61683 \nL 109.694418 133.871569 \nL 117.015555 131.910676 \nL 124.745852 130.090706 \nL 132.857772 128.40649 \nL 142.763688 126.606125 \nL 153.096071 124.975232 \nL 163.799014 123.506279 \nL 176.40828 122.017442 \nL 189.330162 120.724015 \nL 202.466763 119.621177 \nL 217.37607 118.606408 \nL 232.28192 117.833822 \nL 247.035766 117.312032 \nL 259.903092 117.070049 \nL 272.431372 117.050564 \nL 284.521495 117.269531 \nL 294.666133 117.670892 \nL 304.342161 118.281652 \nL 312.219888 118.982015 \nL 319.678427 119.854579 \nL 326.68713 120.907601 \nL 332.163831 121.928633 \nL 337.294095 123.084604 \nL 342.064854 124.379297 \nL 346.464526 125.815993 \nL 350.483176 127.397402 \nL 353.418154 128.768129 \nL 356.100497 130.233517 \nL 358.527403 131.793971 \nL 360.696803 133.449546 \nL 362.607325 135.199942 \nL 364.25826 137.04448 \nL 365.649573 138.98209 \nL 366.781917 141.011297 \nL 367.656606 143.130211 \nL 368.27556 145.336525 \nL 368.641308 147.627503 \nL 368.756981 149.999977 \nL 368.626261 152.450355 \nL 368.253356 154.974615 \nL 367.642977 157.568315 \nL 366.800279 160.226597 \nL 365.730854 162.944204 \nL 364.440659 165.715483 \nL 362.527108 169.245842 \nL 360.291473 172.838068 \nL 357.747373 176.478793 \nL 354.908882 180.1539 \nL 351.790453 183.84861 \nL 348.406776 187.547551 \nL 344.772705 191.234858 \nL 340.102161 195.621343 \nL 335.117869 199.938978 \nL 329.844846 204.158739 \nL 324.307525 208.251525 \nL 319.508239 211.544311 \nL 314.554977 214.712327 \nL 309.460346 217.739421 \nL 304.236447 220.609899 \nL 298.894799 223.308623 \nL 293.446323 225.821132 \nL 287.901364 228.133729 \nL 282.269665 230.233631 \nL 276.560435 232.109002 \nL 270.782329 233.749074 \nL 264.943532 235.14423 \nL 259.051751 236.286056 \nL 253.11431 237.167423 \nL 247.138207 237.782548 \nL 241.130153 238.127013 \nL 235.096671 238.197816 \nL 229.044154 237.993388 \nL 222.978946 237.513641 \nL 216.90742 236.759904 \nL 210.836051 235.73494 \nL 204.7715 234.442964 \nL 198.720682 232.889572 \nL 192.69084 231.0817 \nL 186.689614 229.0276 \nL 180.725102 226.736731 \nL 174.805915 224.219746 \nL 168.941226 221.488375 \nL 163.140802 218.555352 \nL 157.415056 215.434338 \nL 151.775045 212.139807 \nL 145.136748 207.978761 \nL 138.660339 203.617165 \nL 132.368667 199.08343 \nL 126.285835 194.4067 \nL 120.437122 189.616597 \nL 114.848807 184.742905 \nL 109.547989 179.815353 \nL 104.562405 174.863322 \nL 99.920136 169.9156 \nL 95.649365 165.000141 \nL 92.394373 160.948008 \nL 89.432732 156.951872 \nL 86.77999 153.025941 \nL 84.451161 149.183654 \nL 82.460604 145.43763 \nL 80.821858 141.7996 \nL 79.772682 138.974224 \nL 78.96273 136.229986 \nL 78.397478 133.571559 \nL 78.081913 131.003206 \nL 78.020423 128.528767 \nL 78.21684 126.151655 \nL 78.674364 123.874862 \nL 79.395489 121.700952 \nL 80.38209 119.632072 \nL 81.635286 117.669951 \nL 83.155524 115.81592 \nL 84.94246 114.07092 \nL 86.994998 112.435501 \nL 89.311308 110.909859 \nL 91.888805 109.493844 \nL 94.724117 108.186972 \nL 97.813117 106.98846 \nL 101.150945 105.897241 \nL 105.66453 104.682058 \nL 110.545577 103.62934 \nL 115.779852 102.735503 \nL 121.351525 101.996569 \nL 128.458334 101.308237 \nL 135.993169 100.82888 \nL 143.920563 100.550355 \nL 152.202619 100.464458 \nL 162.259768 100.596924 \nL 172.67845 100.968279 \nL 183.38938 101.567141 \nL 194.321354 102.383352 \nL 205.401984 103.408161 \nL 218.154131 104.82577 \nL 229.308329 106.275854 \nL 240.383952 107.918016 \nL 251.31125 109.750543 \nL 262.022819 111.773298 \nL 272.45421 113.987511 \nL 281.126099 116.039556 \nL 289.51123 118.235969 \nL 297.575941 120.579017 \nL 305.289133 123.071086 \nL 311.427738 125.263321 \nL 317.287616 127.561855 \nL 322.855339 129.967703 \nL 328.118964 132.481575 \nL 333.068075 135.103838 \nL 337.693743 137.834417 \nL 341.988627 140.672727 \nL 345.182415 143.020189 \nL 348.158474 145.434991 \nL 350.915169 147.915968 \nL 353.45146 150.461659 \nL 355.766889 153.070287 \nL 357.861606 155.73975 \nL 359.73634 158.467605 \nL 361.392363 161.251062 \nL 362.831434 164.086974 \nL 364.055852 166.971836 \nL 365.068384 169.901776 \nL 365.87223 172.872561 \nL 366.471016 175.879597 \nL 366.868755 178.917937 \nL 367.069802 181.982278 \nL 367.078869 185.066986 \nL 366.900906 188.166093 \nL 366.541126 191.273323 \nL 365.844024 195.15875 \nL 364.882348 199.033151 \nL 363.667455 202.882477 \nL 362.210924 206.69216 \nL 360.52442 210.447163 \nL 358.619706 214.132094 \nL 356.508423 217.731287 \nL 354.202106 221.228895 \nL 351.71203 224.609013 \nL 349.049192 227.855762 \nL 346.224216 230.953414 \nL 343.247311 233.886481 \nL 340.128195 236.639855 \nL 336.876073 239.198887 \nL 333.499623 241.549515 \nL 330.00695 243.67834 \nL 326.405602 245.572796 \nL 322.702507 247.221149 \nL 318.904056 248.612656 \nL 315.800547 249.534388 \nL 312.642478 250.281058 \nL 309.432328 250.848734 \nL 306.172437 251.233953 \nL 302.864919 251.433767 \nL 299.51173 251.445767 \nL 296.114671 251.26811 \nL 292.675388 250.899495 \nL 289.19543 250.339196 \nL 285.676226 249.587035 \nL 281.224108 248.377675 \nL 276.715325 246.871184 \nL 272.152353 245.070945 \nL 267.537679 242.981626 \nL 262.873869 240.60923 \nL 258.163628 237.960976 \nL 253.409907 235.045301 \nL 248.615958 231.871755 \nL 242.815257 227.738139 \nL 236.968994 223.268754 \nL 231.08538 218.485661 \nL 225.173856 213.412562 \nL 218.256297 207.160992 \nL 211.335226 200.590842 \nL 204.433269 193.745763 \nL 196.601791 185.643797 \nL 188.87216 177.309584 \nL 181.292826 168.811731 \nL 173.917152 160.218442 \nL 166.802999 151.596705 \nL 160.012048 143.01158 \nL 153.608951 134.525543 \nL 148.376757 127.228251 \nL 143.537665 120.089712 \nL 139.736859 114.123948 \nL 136.28569 108.321151 \nL 133.211108 102.700412 \nL 130.95523 98.168236 \nL 128.99284 93.784009 \nL 127.337115 89.55626 \nL 126.00018 85.492738 \nL 124.993016 81.600386 \nL 124.431263 78.613923 \nL 124.091076 75.743764 \nL 123.97614 72.992392 \nL 124.089492 70.361964 \nL 124.433481 67.854339 \nL 125.009749 65.471077 \nL 125.819215 63.213453 \nL 126.862046 61.082467 \nL 128.137634 59.078854 \nL 129.644609 57.203076 \nL 131.380815 55.455396 \nL 133.343303 53.835834 \nL 135.528349 52.344185 \nL 137.931457 50.980105 \nL 140.547354 49.743035 \nL 143.370026 48.632293 \nL 146.392717 47.647056 \nL 150.440939 46.590574 \nL 154.773948 45.726688 \nL 159.374114 45.053202 \nL 164.222352 44.567824 \nL 169.298238 44.268187 \nL 174.58014 44.15191 \nL 181.158325 44.251166 \nL 187.95946 44.607294 \nL 194.941045 45.21677 \nL 202.059437 46.076351 \nL 209.270276 47.183267 \nL 216.528876 48.535162 \nL 223.790643 50.130167 \nL 231.011477 51.966839 \nL 238.14817 54.044141 \nL 244.000832 55.958549 \nL 249.742485 58.039375 \nL 255.350628 60.286461 \nL 260.803804 62.699718 \nL 266.081726 65.279057 \nL 271.165382 68.024318 \nL 276.037133 70.935245 \nL 280.680786 74.011387 \nL 285.081682 77.252043 \nL 288.418761 79.96236 \nL 291.58612 82.776644 \nL 294.578501 85.694045 \nL 297.391289 88.713491 \nL 300.020592 91.833704 \nL 302.463185 95.053155 \nL 304.71653 98.37006 \nL 306.778769 101.782355 \nL 308.648696 105.287686 \nL 310.325768 108.883363 \nL 311.810059 112.566399 \nL 313.102266 116.333439 \nL 314.20367 120.180788 \nL 315.116078 124.104383 \nL 315.84188 128.099795 \nL 316.383932 132.162219 \nL 316.745564 136.286469 \nL 316.949687 141.52021 \nL 316.886059 146.830131 \nL 316.563748 152.203614 \nL 315.992596 157.627154 \nL 315.183033 163.08638 \nL 314.146045 168.566098 \nL 312.892952 174.050342 \nL 311.435393 179.522427 \nL 309.785156 184.96502 \nL 307.567226 191.431957 \nL 305.109312 197.798773 \nL 302.431485 204.032849 \nL 299.553314 210.101028 \nL 296.493664 215.969925 \nL 293.270561 221.606188 \nL 289.901033 226.976821 \nL 286.992769 231.226085 \nL 284.002533 235.250216 \nL 280.938344 239.0316 \nL 277.807651 242.553403 \nL 274.617322 245.799576 \nL 271.373638 248.755101 \nL 268.082299 251.406031 \nL 265.418398 253.298884 \nL 262.729715 254.982695 \nL 260.018457 256.452133 \nL 257.286641 257.702416 \nL 254.536117 258.729399 \nL 251.76858 259.529594 \nL 248.985587 260.100148 \nL 246.188574 260.438884 \nL 243.378873 260.544312 \nL 240.557736 260.415646 \nL 237.726364 260.052779 \nL 234.885905 259.456312 \nL 232.037493 258.62754 \nL 229.182267 257.568436 \nL 226.321389 256.281649 \nL 223.456062 254.770491 \nL 220.58756 253.038912 \nL 217.717241 251.09149 \nL 214.12903 248.361602 \nL 210.54342 245.313896 \nL 206.963913 241.961001 \nL 203.394426 238.316758 \nL 199.839335 234.39609 \nL 195.599135 229.348819 \nL 191.396171 223.955484 \nL 187.241077 218.246629 \nL 183.145717 212.253986 \nL 179.123209 206.010146 \nL 174.541594 198.452426 \nL 170.10366 190.65102 \nL 165.836448 182.658919 \nL 161.76892 174.528446 \nL 157.931738 166.310749 \nL 154.356876 158.055325 \nL 151.5264 150.985237 \nL 148.933793 143.950784 \nL 146.600064 136.978978 \nL 144.545949 130.095274 \nL 142.791666 123.323452 \nL 141.572851 117.781703 \nL 140.586422 112.344817 \nL 139.842413 107.023737 \nL 139.35009 101.82853 \nL 139.117829 96.768395 \nL 139.153045 91.85165 \nL 139.378074 88.026545 \nL 139.781038 84.301453 \nL 140.364108 80.679473 \nL 141.128915 77.163405 \nL 142.076521 73.755702 \nL 143.20739 70.458554 \nL 144.521372 67.273849 \nL 146.017703 64.203198 \nL 147.694957 61.247956 \nL 149.551078 58.409239 \nL 151.583327 55.687959 \nL 153.788326 53.084807 \nL 156.162032 50.600279 \nL 158.699729 48.23472 \nL 161.396067 45.988316 \nL 164.245065 43.86112 \nL 167.240115 41.853088 \nL 171.17827 39.510404 \nL 175.317975 37.353249 \nL 179.642551 35.381047 \nL 184.134069 33.593172 \nL 188.773471 31.988965 \nL 193.540666 30.567774 \nL 198.414663 29.329012 \nL 203.373696 28.272193 \nL 208.395365 27.396963 \nL 214.471793 26.586097 \nL 220.565259 26.036399 \nL 226.635257 25.748204 \nL 232.641338 25.722247 \nL 238.543492 25.959645 \nL 243.354257 26.359689 \nL 248.043555 26.944625 \nL 252.590042 27.715596 \nL 256.973239 28.673805 \nL 261.173656 29.820546 \nL 265.17292 31.157076 \nL 268.953883 32.684661 \nL 272.500728 34.40448 \nL 275.159924 35.919455 \nL 277.653367 37.558606 \nL 279.975016 39.322297 \nL 282.11948 41.210793 \nL 284.082059 43.224218 \nL 285.858699 45.362607 \nL 287.446069 47.625793 \nL 288.841516 50.01343 \nL 290.043078 52.525013 \nL 291.049487 55.159798 \nL 291.860159 57.916846 \nL 292.475158 60.79498 \nL 292.895215 63.792783 \nL 293.12169 66.908546 \nL 293.156551 70.14032 \nL 293.002358 73.485865 \nL 292.548567 77.823899 \nL 291.811527 82.330124 \nL 290.799675 86.99818 \nL 289.522509 91.820947 \nL 287.9905 96.790531 \nL 285.831665 102.93553 \nL 283.34308 109.262875 \nL 280.546802 115.754432 \nL 277.465783 122.390434 \nL 273.542752 130.286469 \nL 269.301903 138.313561 \nL 264.780887 146.432589 \nL 259.318313 155.770594 \nL 253.591321 165.108675 \nL 247.650338 174.378001 \nL 241.542278 183.507174 \nL 235.310019 192.422991 \nL 228.992062 201.051314 \nL 223.420347 208.306971 \nL 217.828944 215.236681 \nL 212.235106 221.792533 \nL 207.449709 227.079212 \nL 202.681356 232.029512 \nL 197.936857 236.617193 \nL 194.005538 240.145539 \nL 190.097713 243.391952 \nL 186.215903 246.344404 \nL 182.362334 248.992066 \nL 178.539003 251.325345 \nL 174.747733 253.335972 \nL 171.738971 254.707518 \nL 168.75271 255.865311 \nL 165.789839 256.80711 \nL 162.851271 257.531313 \nL 159.93797 258.036954 \nL 157.051001 258.323679 \nL 154.191507 258.391798 \nL 151.360745 258.242267 \nL 148.560128 257.876663 \nL 145.791199 257.297191 \nL 143.05569 256.50672 \nL 140.35551 255.508651 \nL 137.692782 254.307022 \nL 135.06983 252.90642 \nL 132.4892 251.311982 \nL 129.953686 249.529366 \nL 126.852356 247.045856 \nL 123.8327 244.290916 \nL 120.901769 241.278554 \nL 118.067234 238.023684 \nL 115.337351 234.542025 \nL 112.720957 230.849925 \nL 110.22745 226.964343 \nL 107.866744 222.902659 \nL 105.649232 218.68254 \nL 103.585729 214.321869 \nL 101.687395 209.838599 \nL 99.965698 205.250627 \nL 98.432312 200.575703 \nL 97.099012 195.831319 \nL 95.977611 191.034592 \nL 95.079872 186.202207 \nL 94.417355 181.350287 \nL 94.001335 176.494348 \nL 93.842683 171.649224 \nL 93.951782 166.828997 \nL 94.238398 162.999696 \nL 94.707253 159.201271 \nL 95.362669 155.439789 \nL 96.208557 151.720955 \nL 97.248449 148.050109 \nL 98.485386 144.432224 \nL 99.921965 140.8719 \nL 101.560254 137.373375 \nL 103.401763 133.940518 \nL 105.447464 130.576849 \nL 107.697722 127.285535 \nL 110.152274 124.069414 \nL 112.810241 120.930996 \nL 115.670078 117.872484 \nL 118.72958 114.895791 \nL 121.985886 112.002562 \nL 125.435426 109.194181 \nL 129.073961 106.471807 \nL 133.880325 103.191206 \nL 138.963105 100.047884 \nL 144.309532 97.042899 \nL 149.905227 94.176977 \nL 155.734246 91.450614 \nL 161.779136 88.86412 \nL 168.021009 86.417707 \nL 174.43963 84.111553 \nL 182.344937 81.529611 \nL 190.43443 79.150453 \nL 198.666681 76.974909 \nL 206.998469 75.004222 \nL 215.38511 73.240116 \nL 223.780816 71.6849 \nL 232.139068 70.34148 \nL 240.412999 69.213363 \nL 248.555798 68.304685 \nL 256.521097 67.620103 \nL 264.263405 67.164798 \nL 271.738476 66.944332 \nL 278.903745 66.964577 \nL 285.71865 67.231553 \nL 291.102504 67.646874 \nL 296.195884 68.241171 \nL 300.979597 69.017729 \nL 305.436037 69.97964 \nL 309.549253 71.129693 \nL 312.583126 72.186866 \nL 315.381794 73.367099 \nL 317.939648 74.67127 \nL 320.251819 76.100033 \nL 322.314258 77.653806 \nL 324.123765 79.332755 \nL 325.677915 81.136771 \nL 326.975096 83.065436 \nL 328.01453 85.118048 \nL 328.796241 87.293562 \nL 329.321018 89.590612 \nL 329.590438 92.007477 \nL 329.606822 94.542081 \nL 329.373189 97.192 \nL 328.893278 99.954429 \nL 328.171433 102.8262 \nL 327.212673 105.803763 \nL 326.022567 108.883213 \nL 324.218972 112.869251 \nL 322.076475 116.998609 \nL 319.609128 121.261269 \nL 316.831944 125.646371 \nL 313.112522 131.053624 \nL 308.997968 136.598724 \nL 304.517523 142.258573 \nL 299.700973 148.008724 \nL 293.696883 154.797084 \nL 287.323519 161.630897 \nL 280.627374 168.466107 \nL 273.653492 175.257499 \nL 266.444947 181.959151 \nL 259.042487 188.524887 \nL 251.484219 194.908728 \nL 243.805376 201.065421 \nL 237.152073 206.128349 \nL 230.452485 210.965224 \nL 223.723561 215.550416 \nL 216.980706 219.859674 \nL 210.237855 223.870357 \nL 204.627927 226.9694 \nL 199.033384 229.83557 \nL 193.460311 232.458887 \nL 187.914335 234.830486 \nL 182.400679 236.94268 \nL 176.924241 238.788986 \nL 171.489674 240.364198 \nL 166.101437 241.664411 \nL 160.763918 242.687081 \nL 155.481462 243.430971 \nL 150.258472 243.89622 \nL 145.099469 244.084353 \nL 140.009188 243.998204 \nL 134.992608 243.641961 \nL 130.055005 243.021079 \nL 125.202056 242.142262 \nL 120.439843 241.013419 \nL 115.774901 239.6436 \nL 111.214267 238.042918 \nL 106.7655 236.222462 \nL 102.436658 234.194221 \nL 98.236352 231.971002 \nL 94.173775 229.566326 \nL 90.258565 226.994347 \nL 86.500898 224.269684 \nL 82.911463 221.407397 \nL 79.501295 218.42282 \nL 76.281908 215.331491 \nL 73.265031 212.148995 \nL 70.462715 208.890924 \nL 67.887173 205.572704 \nL 65.550695 202.209541 \nL 63.465617 198.816298 \nL 61.64414 195.407417 \nL 60.098325 191.996826 \nL 58.839881 188.59787 \nL 58.047674 185.89561 \nL 57.452238 183.215067 \nL 57.058924 180.562074 \nL 56.872786 177.942127 \nL 56.898603 175.360369 \nL 57.140754 172.821583 \nL 57.603309 170.330176 \nL 58.289882 167.890176 \nL 59.203696 165.505222 \nL 60.347485 163.178569 \nL 61.723523 160.913079 \nL 63.333548 158.711228 \nL 65.178762 156.575114 \nL 67.259849 154.506457 \nL 69.576913 152.506612 \nL 72.129474 150.576584 \nL 74.916457 148.717036 \nL 77.936215 146.928308 \nL 82.034728 144.792014 \nL 86.487589 142.765857 \nL 91.287561 140.848651 \nL 96.425931 139.038646 \nL 101.892536 137.333611 \nL 108.869363 135.422391 \nL 116.279509 133.653349 \nL 124.097587 132.020858 \nL 132.29563 130.519038 \nL 142.299509 128.924164 \nL 152.726802 127.48997 \nL 165.090158 126.036877 \nL 177.844264 124.771867 \nL 190.895305 123.686594 \nL 205.810931 122.673973 \nL 220.835401 121.879674 \nL 235.822783 121.307008 \nL 250.626438 120.965168 \nL 265.101026 120.868978 \nL 277.576145 121.005661 \nL 289.582718 121.368837 \nL 299.631828 121.887113 \nL 309.19383 122.606505 \nL 316.960937 123.393566 \nL 324.298664 124.34698 \nL 331.177951 125.475008 \nL 336.541448 126.554022 \nL 341.554644 127.763776 \nL 346.205362 129.107927 \nL 350.482981 130.589595 \nL 354.37848 132.211304 \nL 357.214719 133.610757 \nL 359.798585 135.101617 \nL 362.127723 136.684144 \nL 364.200441 138.358249 \nL 366.015732 140.123477 \nL 367.573244 141.978985 \nL 368.873294 143.923534 \nL 369.916834 145.955477 \nL 370.705451 148.07275 \nL 371.241329 150.272864 \nL 371.527236 152.552906 \nL 371.566499 154.909535 \nL 371.362971 157.33898 \nL 370.921019 159.837052 \nL 370.245434 162.399144 \nL 369.341498 165.020243 \nL 368.214837 167.69494 \nL 366.502481 171.104832 \nL 364.463915 174.577301 \nL 362.112207 178.099411 \nL 359.460929 181.657462 \nL 356.524087 185.237073 \nL 353.31595 188.823237 \nL 349.85097 192.400435 \nL 346.143667 195.952714 \nL 342.208528 199.463805 \nL 337.205759 203.599489 \nL 331.919828 207.623359 \nL 327.315644 210.870462 \nL 322.544484 214.003534 \nL 317.619155 217.006376 \nL 312.551912 219.863172 \nL 307.354499 222.558597 \nL 302.03808 225.077915 \nL 296.613271 227.407099 \nL 291.090104 229.53294 \nL 285.478048 231.443106 \nL 279.786048 233.12628 \nL 274.022521 234.572232 \nL 268.195428 235.771878 \nL 262.312297 236.717379 \nL 256.380296 237.402173 \nL 250.40629 237.821027 \nL 244.396893 237.970124 \nL 238.358547 237.847036 \nL 232.297607 237.450747 \nL 226.220399 236.781716 \nL 220.133309 235.841803 \nL 214.042854 234.63432 \nL 207.955762 233.163961 \nL 201.879043 231.436801 \nL 195.820063 229.460207 \nL 189.786606 227.242833 \nL 183.786944 224.794538 \nL 177.829872 222.126295 \nL 171.924783 219.250158 \nL 166.081686 216.179122 \nL 160.311229 212.927077 \nL 153.498548 208.806395 \nL 146.827678 204.472842 \nL 140.320849 199.954179 \nL 134.001652 195.279078 \nL 127.894923 190.476817 \nL 122.026653 185.577048 \nL 116.423789 180.609473 \nL 111.114064 175.603634 \nL 106.125781 170.588639 \nL 101.487537 165.592915 \nL 97.227903 160.643984 \nL 93.987877 156.574693 \nL 91.046485 152.570818 \nL 88.419389 148.646216 \nL 86.12159 144.81396 \nL 84.167426 141.086281 \nL 82.570321 137.474513 \nL 81.558144 134.675571 \nL 80.788346 131.962352 \nL 80.266291 129.339323 \nL 79.996779 126.810529 \nL 79.984042 124.379594 \nL 80.231693 122.049721 \nL 80.742681 119.823694 \nL 81.51927 117.703869 \nL 82.563072 115.692195 \nL 83.874933 113.790212 \nL 85.454957 111.999059 \nL 87.302503 110.319486 \nL 89.416153 108.75189 \nL 91.793735 107.296298 \nL 94.432276 105.9524 \nL 97.328083 104.719585 \nL 100.47664 103.596932 \nL 104.759736 102.346697 \nL 109.417692 101.263869 \nL 114.436914 100.345077 \nL 119.802114 99.586496 \nL 125.496469 98.983946 \nL 132.738234 98.460584 \nL 140.393167 98.147464 \nL 148.424326 98.036368 \nL 158.217073 98.151157 \nL 168.402763 98.517075 \nL 178.912794 99.12219 \nL 189.676347 99.955607 \nL 200.621119 101.007719 \nL 211.674099 102.270453 \nL 222.762279 103.737345 \nL 233.813383 105.403635 \nL 244.756552 107.266223 \nL 255.523009 109.323608 \nL 266.046683 111.575724 \nL 274.826058 113.661958 \nL 283.34356 115.893384 \nL 291.564145 118.271669 \nL 299.4553 120.798679 \nL 306.98718 123.476302 \nL 312.969717 125.823968 \nL 318.669874 128.278266 \nL 324.075092 130.839781 \nL 329.174291 133.508769 \nL 333.95789 136.2851 \nL 338.417897 139.168166 \nL 342.547853 142.156821 \nL 345.610841 144.622619 \nL 348.457575 147.153694 \nL 351.086878 149.748556 \nL 353.498132 152.405416 \nL 355.691314 155.122161 \nL 357.666995 157.89635 \nL 359.42624 160.725197 \nL 360.970694 163.605569 \nL 362.302496 166.53398 \nL 363.42424 169.506583 \nL 364.338992 172.519174 \nL 365.050238 175.567194 \nL 365.561867 178.645729 \nL 365.878073 181.749521 \nL 366.003441 184.872975 \nL 365.942798 188.010168 \nL 365.613249 191.941468 \nL 365.011525 195.871661 \nL 364.148487 199.787282 \nL 363.035328 203.674254 \nL 361.683507 207.517988 \nL 360.104569 211.303446 \nL 358.310109 215.015245 \nL 356.31164 218.637734 \nL 354.120551 222.15509 \nL 351.747943 225.551441 \nL 349.204666 228.810969 \nL 346.501194 231.917991 \nL 343.647542 234.857097 \nL 340.653303 237.613243 \nL 337.527533 240.171876 \nL 334.278727 242.519033 \nL 330.914819 244.641438 \nL 327.443196 246.526595 \nL 323.870649 248.162921 \nL 320.944131 249.285645 \nL 317.95992 250.237345 \nL 314.920691 251.013523 \nL 311.828935 251.610184 \nL 308.686918 252.023786 \nL 305.49672 252.251337 \nL 302.260228 252.290391 \nL 298.979173 252.139018 \nL 295.655134 251.795855 \nL 292.289574 251.260087 \nL 288.883837 250.531491 \nL 284.57206 249.350098 \nL 280.201789 247.869794 \nL 275.77522 246.093793 \nL 271.294546 244.026649 \nL 266.762039 241.674179 \nL 262.180042 239.043485 \nL 257.551139 236.142822 \nL 252.878165 232.981629 \nL 247.216944 228.8591 \nL 241.503184 224.396482 \nL 235.744214 219.615607 \nL 229.948543 214.53994 \nL 223.153736 208.279026 \nL 216.340505 201.692365 \nL 209.529814 194.823287 \nL 201.780176 186.684336 \nL 194.106013 178.302572 \nL 186.553324 169.746279 \nL 179.173179 161.083387 \nL 172.021328 152.380706 \nL 165.157633 143.703216 \nL 158.645317 135.113425 \nL 153.286793 127.716123 \nL 148.292268 120.469158 \nL 143.706624 113.40784 \nL 140.135129 107.527984 \nL 136.923744 101.827777 \nL 134.098557 96.324825 \nL 132.057086 91.901354 \nL 130.314295 87.634506 \nL 128.882524 83.531988 \nL 127.772984 79.600706 \nL 127.124097 76.583136 \nL 126.692303 73.681897 \nL 126.481463 70.899477 \nL 126.4948 68.238053 \nL 126.734882 65.699505 \nL 127.203565 63.285433 \nL 127.901995 60.997141 \nL 128.830593 58.835665 \nL 129.989005 56.801783 \nL 131.37611 54.896018 \nL 132.99004 53.11868 \nL 134.828114 51.46985 \nL 136.886894 49.949402 \nL 139.162163 48.557018 \nL 141.648947 47.292238 \nL 144.341511 46.154433 \nL 147.233397 45.142823 \nL 151.117571 44.054469 \nL 155.286451 43.160048 \nL 159.722951 42.457472 \nL 164.408524 41.944533 \nL 169.323269 41.618984 \nL 174.446044 41.478531 \nL 180.83661 41.551184 \nL 187.454484 41.883446 \nL 194.257891 42.471853 \nL 201.203848 43.313281 \nL 208.248589 44.404974 \nL 215.347954 45.744612 \nL 222.457814 47.330301 \nL 229.534467 49.160596 \nL 236.535029 51.234435 \nL 242.28059 53.148144 \nL 247.92103 55.23021 \nL 253.433938 57.480458 \nL 258.797915 59.898753 \nL 263.99271 62.484991 \nL 268.999314 65.238966 \nL 273.800058 68.160388 \nL 278.378711 71.248795 \nL 282.720535 74.503479 \nL 286.014578 77.226282 \nL 289.142584 80.054168 \nL 292.099223 82.986287 \nL 294.879826 86.021586 \nL 297.480419 89.158798 \nL 299.897704 92.396403 \nL 302.129068 95.732649 \nL 304.172545 99.165499 \nL 306.026848 102.69261 \nL 307.691326 106.311353 \nL 309.165955 110.01876 \nL 310.451331 113.811524 \nL 311.548619 117.686 \nL 312.459552 121.63818 \nL 313.186394 125.663682 \nL 313.7319 129.757756 \nL 314.099305 133.915274 \nL 314.313741 139.192959 \nL 314.263685 144.549552 \nL 313.958021 149.972549 \nL 313.406387 155.448551 \nL 312.61905 160.963293 \nL 311.60681 166.501676 \nL 310.380843 172.047816 \nL 308.952611 177.585105 \nL 307.333782 183.096266 \nL 305.156092 189.649988 \nL 302.740991 196.108519 \nL 300.10839 202.439225 \nL 297.277685 208.608897 \nL 294.267611 214.584024 \nL 291.096061 220.331087 \nL 287.779969 225.81685 \nL 284.917627 230.165166 \nL 281.974525 234.290953 \nL 278.958677 238.176376 \nL 275.877493 241.804306 \nL 272.737814 245.158459 \nL 269.545918 248.223495 \nL 266.307493 250.985149 \nL 263.027708 253.430339 \nL 260.377233 255.150663 \nL 257.705423 256.655472 \nL 255.014248 257.939947 \nL 252.305522 258.999918 \nL 249.580897 259.831817 \nL 246.841893 260.432764 \nL 244.089919 260.800556 \nL 241.326275 260.933659 \nL 238.552193 260.83125 \nL 235.768839 260.493196 \nL 232.977348 259.920083 \nL 230.178835 259.113175 \nL 227.374422 258.074432 \nL 224.565253 256.806499 \nL 221.752523 255.312663 \nL 218.93749 253.596882 \nL 216.1215 251.663718 \nL 212.602394 248.949505 \nL 209.087191 245.915118 \nL 205.579373 242.573213 \nL 202.082829 238.937649 \nL 198.601905 235.023383 \nL 194.452267 229.980885 \nL 190.341504 224.58922 \nL 186.280171 218.879059 \nL 182.280015 212.882236 \nL 178.354037 206.631467 \nL 173.886524 199.062366 \nL 169.564028 191.246211 \nL 165.413275 183.236186 \nL 161.46289 175.084808 \nL 157.743096 166.843405 \nL 154.762098 159.745385 \nL 151.99402 152.647811 \nL 149.459501 145.579462 \nL 147.179179 138.567679 \nL 145.173496 131.638242 \nL 143.462369 124.815276 \nL 142.275293 119.227016 \nL 141.316631 113.740296 \nL 140.596289 108.366254 \nL 140.123444 103.115148 \nL 139.906412 97.996375 \nL 139.952552 93.018441 \nL 140.183213 89.142671 \nL 140.589035 85.365485 \nL 141.172208 81.690091 \nL 141.934379 78.119361 \nL 142.876635 74.655861 \nL 143.999477 71.301823 \nL 145.302809 68.059245 \nL 146.785917 64.929818 \nL 148.447444 61.914968 \nL 150.285392 59.015898 \nL 152.297123 56.233584 \nL 154.479346 53.568787 \nL 156.828098 51.022073 \nL 159.338778 48.593868 \nL 162.006143 46.284401 \nL 164.824317 44.093789 \nL 167.786804 42.022039 \nL 171.682 39.599369 \nL 175.776463 37.361936 \nL 180.053756 35.309262 \nL 184.496204 33.440798 \nL 189.08499 31.75596 \nL 193.800268 30.254162 \nL 198.621289 28.934866 \nL 203.526526 27.797654 \nL 208.493806 26.842199 \nL 214.50449 25.935345 \nL 220.532034 25.290012 \nL 226.536267 24.906573 \nL 232.477044 24.785806 \nL 238.314636 24.928836 \nL 243.072346 25.250604 \nL 247.709401 25.7576 \nL 252.204572 26.450966 \nL 256.537475 27.331953 \nL 260.688705 28.401816 \nL 264.639948 29.661876 \nL 268.374111 31.113408 \nL 271.87541 32.757624 \nL 274.499088 34.212459 \nL 276.957848 35.791789 \nL 279.245642 37.496031 \nL 281.357086 39.32545 \nL 283.287456 41.280249 \nL 285.032723 43.360465 \nL 286.58952 45.565981 \nL 287.955193 47.896516 \nL 289.127754 50.351625 \nL 290.105922 52.930627 \nL 290.889086 55.632654 \nL 291.477301 58.456609 \nL 291.871284 61.401153 \nL 292.072366 64.464684 \nL 292.082513 67.645342 \nL 291.904264 70.940993 \nL 291.421288 75.218569 \nL 290.656041 79.666681 \nL 289.616927 84.279234 \nL 288.313435 89.049371 \nL 286.756026 93.969485 \nL 284.567944 100.059742 \nL 282.051462 106.337916 \nL 279.228675 112.786444 \nL 275.579003 120.499394 \nL 271.58122 128.384995 \nL 267.273221 136.407382 \nL 262.018346 145.693811 \nL 256.462706 155.047147 \nL 250.659252 164.402277 \nL 244.657912 173.690893 \nL 238.504975 182.842146 \nL 232.242565 191.783379 \nL 225.908357 200.440984 \nL 219.535415 208.741305 \nL 213.949803 215.65383 \nL 208.372667 222.189681 \nL 203.609547 227.457329 \nL 198.870213 232.38719 \nL 194.160929 236.953342 \nL 189.48699 241.131671 \nL 185.622276 244.30133 \nL 181.787427 247.174682 \nL 177.984391 249.741322 \nL 174.214921 251.992118 \nL 170.480638 253.919261 \nL 167.519602 255.2236 \nL 164.582886 256.314079 \nL 161.671323 257.188716 \nL 158.785795 257.846128 \nL 155.927238 258.28559 \nL 153.096699 258.506985 \nL 150.295316 258.510855 \nL 147.524363 258.298369 \nL 144.78527 257.871341 \nL 142.079614 257.232189 \nL 139.409179 256.383952 \nL 136.77592 255.330233 \nL 134.18201 254.075256 \nL 131.629832 252.62376 \nL 129.122022 250.981049 \nL 126.054014 248.667641 \nL 123.065933 246.076879 \nL 120.164477 243.222159 \nL 117.356983 240.117856 \nL 114.651384 236.779175 \nL 112.056188 233.222038 \nL 109.58046 229.463014 \nL 107.233829 225.519148 \nL 105.026389 221.407849 \nL 102.968684 217.14678 \nL 101.071642 212.753742 \nL 99.346492 208.246548 \nL 97.804702 203.6429 \nL 96.457911 198.960303 \nL 95.317804 194.215954 \nL 94.396066 189.42664 \nL 93.704211 184.60865 \nL 93.253535 179.777701 \nL 93.054958 174.948858 \nL 93.118963 170.136478 \nL 93.45544 165.354154 \nL 93.926994 161.55855 \nL 94.583176 157.796528 \nL 95.427932 154.073889 \nL 96.464863 150.39607 \nL 97.69709 146.768143 \nL 99.127277 143.194813 \nL 100.757585 139.680423 \nL 102.58965 136.228954 \nL 104.624535 132.844031 \nL 106.862753 129.528933 \nL 109.304157 126.286602 \nL 111.948026 123.119664 \nL 114.792954 120.030425 \nL 117.836917 117.020908 \nL 121.077194 114.092851 \nL 124.510389 111.247745 \nL 128.132432 108.48683 \nL 132.918272 105.155659 \nL 137.980947 101.959255 \nL 143.308051 98.898832 \nL 148.885549 95.975281 \nL 154.697847 93.189207 \nL 160.72785 90.541059 \nL 166.956998 88.031154 \nL 173.365369 85.659777 \nL 181.262067 82.997388 \nL 189.347427 80.535544 \nL 197.580449 78.275183 \nL 205.918285 76.217656 \nL 214.316552 74.364752 \nL 222.729697 72.718862 \nL 231.111359 71.282961 \nL 239.414753 70.060626 \nL 247.593071 69.056022 \nL 255.599868 68.273911 \nL 263.389482 67.719527 \nL 270.917428 67.39853 \nL 278.140802 67.316897 \nL 285.018654 67.480783 \nL 290.458321 67.809378 \nL 295.610235 68.316286 \nL 300.454878 69.004906 \nL 304.97427 69.878436 \nL 309.152086 70.939824 \nL 312.238542 71.925947 \nL 315.090387 73.035121 \nL 317.701762 74.268295 \nL 320.067613 75.626211 \nL 322.183676 77.109376 \nL 324.046486 78.718063 \nL 325.653412 80.452255 \nL 327.002627 82.31166 \nL 328.093147 84.295665 \nL 328.924777 86.403347 \nL 329.498101 88.633461 \nL 329.814512 90.984395 \nL 329.876128 93.454205 \nL 329.685805 96.040579 \nL 329.2471 98.740844 \nL 328.564266 101.551949 \nL 327.64214 104.470488 \nL 326.486174 107.492671 \nL 324.721579 111.409793 \nL 322.613851 115.473452 \nL 320.176941 119.673878 \nL 317.425711 124.000451 \nL 313.731454 129.342712 \nL 309.635508 134.82893 \nL 305.167166 140.436414 \nL 300.356343 146.141105 \nL 294.351139 152.885654 \nL 287.968651 159.686113 \nL 281.255864 166.498931 \nL 274.258429 173.279349 \nL 267.020106 179.981834 \nL 259.582359 186.560516 \nL 251.984048 192.96967 \nL 244.26118 199.164164 \nL 237.567556 204.269494 \nL 230.825772 209.157958 \nL 224.053231 213.803844 \nL 217.265777 218.182761 \nL 210.477755 222.271841 \nL 204.830022 225.442705 \nL 199.197731 228.386376 \nL 193.587151 231.092663 \nL 188.004057 233.552448 \nL 182.453805 235.757753 \nL 176.941397 237.701783 \nL 171.471569 239.378997 \nL 166.04886 240.785151 \nL 160.677663 241.917271 \nL 155.362341 242.773753 \nL 150.107292 243.354332 \nL 144.91699 243.66008 \nL 139.79609 243.693395 \nL 134.749479 243.457999 \nL 129.782349 242.95892 \nL 124.900227 242.202393 \nL 120.109036 241.195893 \nL 115.415145 239.94801 \nL 110.825424 238.468414 \nL 106.347215 236.767786 \nL 101.988349 234.8577 \nL 97.757264 232.75058 \nL 93.662879 230.459596 \nL 89.714626 227.998527 \nL 85.922452 225.381701 \nL 82.296785 222.623878 \nL 78.848474 219.740133 \nL 75.588749 216.745771 \nL 72.529202 213.656186 \nL 69.681633 210.486784 \nL 67.058093 207.252867 \nL 64.670724 203.96953 \nL 62.531703 200.651562 \nL 60.653126 197.313354 \nL 59.046919 193.968819 \nL 57.724779 190.631307 \nL 56.698013 187.313521 \nL 56.096586 184.681578 \nL 55.696458 182.075743 \nL 55.502636 179.501472 \nL 55.519832 176.963875 \nL 55.752482 174.467704 \nL 56.204587 172.017337 \nL 56.879749 169.616783 \nL 57.781192 167.269658 \nL 58.911672 164.9792 \nL 60.273464 162.748255 \nL 61.868306 160.579286 \nL 63.697478 158.474378 \nL 65.761689 156.435241 \nL 68.061089 154.46322 \nL 70.595264 152.559311 \nL 73.363233 150.724167 \nL 76.363417 148.958122 \nL 80.436799 146.847744 \nL 84.864015 144.844777 \nL 89.638021 142.94801 \nL 94.750369 141.155672 \nL 100.191168 139.465497 \nL 107.137696 137.568356 \nL 114.518766 135.80923 \nL 122.309558 134.182408 \nL 130.482665 132.681918 \nL 140.461219 131.08297 \nL 150.868177 129.638453 \nL 163.215595 128.165654 \nL 175.962938 126.872183 \nL 190.666474 125.620675 \nL 205.621554 124.577419 \nL 220.686132 123.740114 \nL 227.378836 123.43481 \nL 227.378836 123.43481 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482812 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482812 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p6aa929bded\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Y\n",
+    "plt.plot(result_np[:,0], result_np[:,2])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Initial conditions (0, 0.427001854016272, 0.095, 0.096)"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_init = {\"x\":0., \"x_\": 0.427001854016272, \"y\": 0.095, \"y_\": 0.096}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"alpha\": 2.}\n",
+    "\n",
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=torch.optim.SGD,\n",
+    "    optimizer_args={\"lr\": 0.01}\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(100000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000,  0.4270,  0.0950,  0.0960],\n",
+       "        [ 0.0043,  0.4270,  0.0960,  0.0951],\n",
+       "        [ 0.0085,  0.4269,  0.0969,  0.0943],\n",
+       "        ...,\n",
+       "        [-0.1285, -0.1269, -0.2972,  0.2671],\n",
+       "        [-0.1298, -0.1264, -0.2945,  0.2708],\n",
+       "        [-0.1310, -0.1258, -0.2918,  0.2744]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 27
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T22:55:30.449604</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mec53ba22d4\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"75.173178\" xlink:href=\"#mec53ba22d4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −0.4 -->\n      <g transform=\"translate(63.031772 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"146.108579\" xlink:href=\"#mec53ba22d4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −0.2 -->\n      <g transform=\"translate(133.967173 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"217.043981\" xlink:href=\"#mec53ba22d4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.0 -->\n      <g transform=\"translate(209.092418 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"287.979382\" xlink:href=\"#mec53ba22d4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.2 -->\n      <g transform=\"translate(280.027819 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"358.914783\" xlink:href=\"#mec53ba22d4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.4 -->\n      <g transform=\"translate(350.96322 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_6\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m058867b534\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m058867b534\" y=\"267.29556\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- −0.4 -->\n      <g transform=\"translate(7.2 271.094778)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m058867b534\" y=\"211.587196\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.2 -->\n      <g transform=\"translate(7.2 215.386415)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m058867b534\" y=\"155.878833\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 159.678052)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m058867b534\" y=\"100.170469\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.2 -->\n      <g transform=\"translate(15.579688 103.969688)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m058867b534\" y=\"44.462106\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.4 -->\n      <g transform=\"translate(15.579688 48.261325)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_11\">\n    <path clip-path=\"url(#p828dcfea88)\" d=\"M 217.043981 129.417361 \nL 232.1585 126.867029 \nL 247.090161 124.582268 \nL 261.653891 122.595843 \nL 274.294168 121.095437 \nL 286.355314 119.900574 \nL 296.487552 119.122831 \nL 304.829246 118.682316 \nL 312.626237 118.483295 \nL 319.829489 118.541951 \nL 325.497251 118.808926 \nL 330.670929 119.285265 \nL 334.588795 119.847874 \nL 338.136893 120.565342 \nL 341.305638 121.441018 \nL 344.087048 122.477553 \nL 346.029016 123.423905 \nL 347.716558 124.47505 \nL 349.147943 125.631238 \nL 350.322123 126.892364 \nL 351.238718 128.257937 \nL 351.898097 129.727088 \nL 352.301234 131.29855 \nL 352.449819 132.970651 \nL 352.346178 134.74131 \nL 351.993239 136.608045 \nL 351.394554 138.567965 \nL 350.554234 140.617775 \nL 349.171166 143.300783 \nL 347.428055 146.110378 \nL 345.336192 149.03757 \nL 342.907921 152.072483 \nL 339.568605 155.84144 \nL 335.788184 159.730077 \nL 331.592186 163.716945 \nL 327.007066 167.779302 \nL 322.059928 171.893299 \nL 315.867324 176.725166 \nL 309.262916 181.553134 \nL 302.289878 186.33595 \nL 294.990363 191.032069 \nL 288.504759 194.956973 \nL 281.833986 198.762227 \nL 275.0017 202.422867 \nL 268.03039 205.914813 \nL 260.941381 209.215115 \nL 253.754758 212.302121 \nL 246.489422 215.155739 \nL 239.163109 217.757623 \nL 233.023306 219.72164 \nL 226.86183 221.490964 \nL 220.68734 223.05825 \nL 214.508109 224.417247 \nL 208.332073 225.562874 \nL 202.166902 226.49123 \nL 196.020054 227.199637 \nL 189.898844 227.686635 \nL 183.810505 227.952024 \nL 177.762258 227.996809 \nL 171.761377 227.823264 \nL 165.815228 227.434851 \nL 159.931369 226.836219 \nL 154.117581 226.033145 \nL 148.381879 225.032523 \nL 142.732626 223.842277 \nL 137.178531 222.471306 \nL 131.728658 220.92943 \nL 125.339771 218.868638 \nL 119.131756 216.596946 \nL 113.12263 214.135535 \nL 107.331197 211.5067 \nL 101.777013 208.733608 \nL 96.480371 205.840078 \nL 91.462105 202.850303 \nL 86.743474 199.78862 \nL 82.346039 196.679251 \nL 78.291448 193.546061 \nL 74.601254 190.412331 \nL 71.29663 187.300515 \nL 68.39826 184.232045 \nL 66.307633 181.722717 \nL 64.523849 179.268503 \nL 63.057287 176.879606 \nL 61.917576 174.565437 \nL 61.247109 172.773684 \nL 60.795655 171.039223 \nL 60.566948 169.365643 \nL 60.564327 167.756153 \nL 60.790687 166.213562 \nL 61.248451 164.740287 \nL 61.939594 163.33834 \nL 62.865564 162.009337 \nL 64.027314 160.75449 \nL 65.425265 159.574625 \nL 67.059344 158.470179 \nL 68.928873 157.441214 \nL 71.595058 156.26066 \nL 74.623769 155.196189 \nL 78.010164 154.24564 \nL 81.748114 153.406097 \nL 86.687187 152.540058 \nL 92.10657 151.821258 \nL 99.012588 151.157366 \nL 106.516246 150.667267 \nL 115.777166 150.299071 \nL 126.997696 150.099056 \nL 140.350833 150.099655 \nL 157.41506 150.343344 \nL 179.967802 150.911011 \nL 211.285784 151.936728 \nL 249.06729 153.393138 \nL 274.826229 154.590209 \nL 293.427802 155.669834 \nL 308.171205 156.754083 \nL 319.42723 157.79646 \nL 328.749014 158.866753 \nL 336.333797 159.931683 \nL 343.351383 161.130771 \nL 348.893677 162.274924 \nL 353.98328 163.534016 \nL 358.607203 164.914176 \nL 362.096964 166.160427 \nL 365.250953 167.49644 \nL 368.065438 168.923726 \nL 370.537818 170.44306 \nL 372.666698 172.054432 \nL 374.122257 173.409265 \nL 375.358166 174.821668 \nL 376.375252 176.290464 \nL 377.174814 177.814117 \nL 377.758542 179.390721 \nL 378.128584 181.01801 \nL 378.287443 182.693344 \nL 378.238017 184.413725 \nL 377.98355 186.175797 \nL 377.527626 187.975856 \nL 376.680371 190.27316 \nL 375.532628 192.614862 \nL 374.093231 194.991601 \nL 372.371493 197.393311 \nL 370.377225 199.809273 \nL 368.120551 202.228191 \nL 365.080868 205.118152 \nL 361.696682 207.97414 \nL 357.986542 210.774265 \nL 353.968989 213.496144 \nL 349.662405 216.117142 \nL 345.084864 218.614597 \nL 340.253966 220.966059 \nL 335.18674 223.149518 \nL 329.89958 225.143655 \nL 325.336922 226.646047 \nL 320.641069 227.991546 \nL 315.820276 229.169551 \nL 310.882482 230.170194 \nL 305.835191 230.9844 \nL 300.685607 231.603918 \nL 295.440595 232.021476 \nL 290.10672 232.230741 \nL 284.690312 232.226449 \nL 279.197482 232.004401 \nL 273.634186 231.561499 \nL 268.0063 230.895801 \nL 262.319629 230.006528 \nL 256.580022 228.894076 \nL 250.793409 227.559975 \nL 244.965868 226.006963 \nL 239.103697 224.238892 \nL 233.213472 222.260767 \nL 226.117959 219.618386 \nL 219.004811 216.694863 \nL 211.887781 213.504789 \nL 204.781735 210.064708 \nL 197.702767 206.392946 \nL 190.668288 202.509452 \nL 183.697089 198.435642 \nL 175.67104 193.472612 \nL 167.793208 188.319206 \nL 160.100693 183.014738 \nL 152.633017 177.599581 \nL 145.43189 172.114716 \nL 138.540882 166.601274 \nL 132.004995 161.100072 \nL 125.870205 155.651167 \nL 120.182889 150.293435 \nL 114.989126 145.064151 \nL 110.964502 140.710955 \nL 107.363225 136.498973 \nL 104.211625 132.44767 \nL 101.946664 129.207303 \nL 100.024463 126.100494 \nL 98.457273 123.135902 \nL 97.256139 120.321316 \nL 96.565397 118.182318 \nL 96.119536 116.146862 \nL 95.922306 114.217681 \nL 95.976775 112.397126 \nL 96.285372 110.687179 \nL 96.849831 109.089441 \nL 97.671146 107.605142 \nL 98.749591 106.235146 \nL 100.084713 104.979972 \nL 101.675295 103.839791 \nL 103.519383 102.814448 \nL 105.614248 101.903467 \nL 107.956446 101.106075 \nL 111.225512 100.267451 \nL 114.864631 99.60204 \nL 118.86228 99.106646 \nL 123.205299 98.777578 \nL 128.851989 98.596417 \nL 134.946523 98.641011 \nL 141.457865 98.903018 \nL 149.536319 99.471815 \nL 158.079254 100.310493 \nL 167.026171 101.404885 \nL 177.664732 102.951069 \nL 188.650934 104.793735 \nL 199.885463 106.914976 \nL 211.268484 109.298855 \nL 222.701011 111.931657 \nL 234.086187 114.801994 \nL 243.935755 117.501168 \nL 253.617499 120.370422 \nL 263.074647 123.406077 \nL 272.253982 126.605333 \nL 279.863452 129.476141 \nL 287.204101 132.464452 \nL 294.249921 135.569196 \nL 300.977487 138.789221 \nL 307.366052 142.123115 \nL 312.417793 144.987052 \nL 317.212551 147.92748 \nL 321.742716 150.942728 \nL 326.001967 154.030741 \nL 329.985315 157.189021 \nL 333.68907 160.414576 \nL 337.110812 163.703876 \nL 340.249358 167.052815 \nL 343.104686 170.456671 \nL 345.677948 173.910089 \nL 347.971342 177.407051 \nL 349.988094 180.940867 \nL 351.732367 184.504173 \nL 353.209193 188.088923 \nL 354.424396 191.686419 \nL 355.384497 195.287311 \nL 356.096664 198.88164 \nL 356.568571 202.458848 \nL 356.808356 206.007853 \nL 356.824518 209.517079 \nL 356.62583 212.974513 \nL 356.221266 216.367779 \nL 355.619875 219.684189 \nL 354.830746 222.910834 \nL 353.862938 226.034656 \nL 352.725363 229.042543 \nL 351.426772 231.921389 \nL 349.975632 234.658217 \nL 348.380113 237.240237 \nL 346.648049 239.654946 \nL 344.786827 241.890258 \nL 342.803435 243.934518 \nL 340.704384 245.776644 \nL 338.495698 247.406202 \nL 336.182876 248.81347 \nL 333.770925 249.989516 \nL 331.264309 250.926298 \nL 328.666978 251.616675 \nL 325.98237 252.054505 \nL 323.213454 252.234657 \nL 320.362703 252.153081 \nL 317.432179 251.806805 \nL 314.42352 251.194003 \nL 311.338005 250.31396 \nL 308.176575 249.167101 \nL 304.939895 247.754985 \nL 301.628432 246.080269 \nL 298.242459 244.146722 \nL 294.081157 241.491651 \nL 289.813011 238.481124 \nL 285.438286 235.127426 \nL 280.20042 230.799989 \nL 274.81966 226.050212 \nL 268.498586 220.141178 \nL 262.000414 213.763791 \nL 254.489971 206.091492 \nL 245.050401 196.104671 \nL 233.590658 183.622866 \nL 219.198388 167.592715 \nL 202.08046 148.185466 \nL 187.235646 131.040383 \nL 176.540135 118.382452 \nL 168.157965 108.139618 \nL 161.882787 100.157622 \nL 156.82695 93.409549 \nL 152.329087 87.022699 \nL 148.898904 81.753853 \nL 146.364393 77.489214 \nL 144.227363 73.46707 \nL 142.764331 70.30674 \nL 141.600991 67.325117 \nL 140.746068 64.525955 \nL 140.206872 61.912457 \nL 140.00682 59.957128 \nL 140.014864 58.123428 \nL 140.232605 56.412253 \nL 140.660962 54.824276 \nL 141.300147 53.359971 \nL 142.149679 52.019643 \nL 143.208343 50.803386 \nL 144.474214 49.711131 \nL 145.944645 48.742639 \nL 147.61629 47.897528 \nL 149.485091 47.175283 \nL 152.091041 46.444247 \nL 154.986831 45.902644 \nL 158.160164 45.548722 \nL 161.597196 45.380557 \nL 165.282723 45.396063 \nL 170.009996 45.654015 \nL 175.040422 46.169386 \nL 180.341022 46.938209 \nL 185.876979 47.956575 \nL 191.61199 49.220697 \nL 197.50861 50.726923 \nL 203.528622 52.471859 \nL 209.633411 54.452341 \nL 215.784336 56.665464 \nL 221.943083 59.108555 \nL 228.072024 61.779207 \nL 234.134553 64.675144 \nL 240.095398 67.794243 \nL 245.920933 71.134385 \nL 250.649231 74.085161 \nL 255.244271 77.186603 \nL 259.689951 80.437259 \nL 263.97137 83.835485 \nL 268.074896 87.379397 \nL 271.98821 91.066837 \nL 275.700353 94.895285 \nL 279.201758 98.861823 \nL 282.48427 102.963065 \nL 285.541145 107.195121 \nL 288.367034 111.553533 \nL 290.957975 116.033231 \nL 293.311371 120.628477 \nL 295.42595 125.332839 \nL 297.301701 130.139135 \nL 298.939812 135.039424 \nL 300.342641 140.024977 \nL 301.513597 145.086246 \nL 302.457093 150.212881 \nL 303.178435 155.39371 \nL 303.683754 160.616752 \nL 303.979894 165.869238 \nL 304.074328 171.137627 \nL 303.975058 176.407652 \nL 303.612151 182.71273 \nL 302.997685 188.971539 \nL 302.147323 195.15587 \nL 301.077006 201.236531 \nL 299.802684 207.183564 \nL 298.340154 212.966444 \nL 296.704881 218.554368 \nL 294.911826 223.916498 \nL 292.975334 229.022247 \nL 290.908977 233.841554 \nL 288.725486 238.345217 \nL 286.436668 242.505194 \nL 284.456684 245.69003 \nL 282.416811 248.603192 \nL 280.322273 251.231126 \nL 278.177807 253.561329 \nL 275.987662 255.582487 \nL 273.755616 257.284505 \nL 271.942061 258.410404 \nL 270.10532 259.322606 \nL 268.246725 260.017847 \nL 266.367449 260.493514 \nL 264.468529 260.747605 \nL 262.550852 260.77876 \nL 260.615197 260.586255 \nL 258.662232 260.170016 \nL 256.692533 259.530634 \nL 254.706607 258.66931 \nL 252.704894 257.587905 \nL 250.181151 255.930498 \nL 247.634079 253.939307 \nL 245.064382 251.621963 \nL 242.472797 248.987438 \nL 239.86015 246.04601 \nL 236.69855 242.12744 \nL 233.510052 237.80549 \nL 230.297198 233.104176 \nL 226.52234 227.174335 \nL 222.724945 220.80688 \nL 218.367578 213.05276 \nL 214.005484 204.857773 \nL 209.114539 195.201676 \nL 203.736245 184.052082 \nL 198.464784 172.59582 \nL 193.357431 160.96945 \nL 188.478804 149.302959 \nL 184.342014 138.86949 \nL 180.502611 128.583977 \nL 177.385241 119.626137 \nL 174.587708 110.892003 \nL 172.43334 103.466955 \nL 170.579713 96.271759 \nL 169.248666 90.304833 \nL 168.170591 84.536496 \nL 167.358472 78.978133 \nL 166.823847 73.639735 \nL 166.597502 69.365418 \nL 166.575532 65.254244 \nL 166.761752 61.309973 \nL 167.158944 57.535811 \nL 167.768818 53.93443 \nL 168.591945 50.508021 \nL 169.627756 47.258361 \nL 170.874463 44.186779 \nL 172.32905 41.29422 \nL 173.9873 38.581323 \nL 175.843746 36.04843 \nL 177.891714 33.695606 \nL 180.123342 31.522728 \nL 182.529592 29.529462 \nL 185.10032 27.715385 \nL 187.824313 26.079934 \nL 190.68936 24.622485 \nL 193.682317 23.342383 \nL 196.789193 22.238997 \nL 199.995241 21.311696 \nL 203.285046 20.559898 \nL 207.320844 19.888705 \nL 211.425769 19.468823 \nL 215.570696 19.299802 \nL 219.72612 19.381411 \nL 223.862442 19.713699 \nL 227.950258 20.296933 \nL 231.960654 21.131651 \nL 235.223173 22.01987 \nL 238.396613 23.083743 \nL 241.465832 24.32385 \nL 244.416389 25.740814 \nL 247.234647 27.335274 \nL 249.90784 29.107828 \nL 252.424176 31.05904 \nL 254.772882 33.189383 \nL 256.944265 35.499215 \nL 258.929779 37.988743 \nL 260.722038 40.657933 \nL 262.314867 43.506562 \nL 263.703294 46.534099 \nL 264.8836 49.739712 \nL 265.853257 53.122208 \nL 266.610955 56.679975 \nL 267.156578 60.410971 \nL 267.491125 64.312697 \nL 267.616725 68.382125 \nL 267.53655 72.6157 \nL 267.254749 77.009256 \nL 266.657659 82.486001 \nL 265.78797 88.176855 \nL 264.657603 94.071009 \nL 263.279852 100.15624 \nL 261.379098 107.478835 \nL 259.1857 115.018464 \nL 256.353534 123.865977 \nL 253.211986 132.916326 \nL 249.357357 143.278182 \nL 245.217135 153.755635 \nL 240.347069 165.429451 \nL 235.259416 177.015849 \nL 230.016628 188.381696 \nL 225.211107 198.307617 \nL 220.359137 207.838665 \nL 216.030986 215.894952 \nL 211.706265 223.484554 \nL 207.935956 229.687272 \nL 204.186501 235.433582 \nL 200.993903 239.963286 \nL 197.824152 244.101123 \nL 194.679724 247.823893 \nL 192.080171 250.59391 \nL 189.500575 253.050183 \nL 186.941786 255.183075 \nL 184.404595 256.984342 \nL 181.889768 258.447129 \nL 179.894542 259.369964 \nL 177.914596 260.070635 \nL 175.950423 260.547712 \nL 174.002589 260.800434 \nL 172.071755 260.828658 \nL 170.15866 260.632908 \nL 168.264163 260.21437 \nL 166.389253 259.574838 \nL 164.535066 258.716768 \nL 162.70287 257.643233 \nL 160.894103 256.357901 \nL 158.668564 254.459925 \nL 156.485691 252.247242 \nL 154.349501 249.730685 \nL 152.264472 246.922292 \nL 150.235559 243.835219 \nL 148.268228 240.483604 \nL 145.997121 236.133688 \nL 143.834485 231.451956 \nL 141.792454 226.467148 \nL 139.88409 221.209023 \nL 138.123264 215.708042 \nL 136.524553 209.995066 \nL 135.10311 204.101086 \nL 133.874541 198.056941 \nL 132.854701 191.893048 \nL 132.059574 185.639168 \nL 131.504982 179.324183 \nL 131.206448 172.975913 \nL 131.164083 167.679473 \nL 131.31818 162.39305 \nL 131.676526 157.130578 \nL 132.246313 151.905239 \nL 133.034078 146.729429 \nL 134.045598 141.614742 \nL 135.285784 136.571955 \nL 136.758625 131.611023 \nL 138.467054 126.741087 \nL 140.412927 121.970487 \nL 142.596915 117.306783 \nL 145.018458 112.756775 \nL 147.675711 108.326544 \nL 150.565476 104.021487 \nL 153.683209 99.846348 \nL 157.022958 95.805286 \nL 160.577367 91.90192 \nL 164.337673 88.139371 \nL 168.293712 84.520341 \nL 172.433969 81.047122 \nL 176.745564 77.721722 \nL 181.21434 74.54586 \nL 185.824902 71.521047 \nL 190.5607 68.648643 \nL 196.384056 65.404703 \nL 202.329954 62.384073 \nL 208.364254 59.588771 \nL 214.451305 57.020888 \nL 220.554241 54.682683 \nL 226.635313 52.576537 \nL 232.656228 50.705108 \nL 238.578511 49.0713 \nL 244.363858 47.678285 \nL 249.974525 46.529442 \nL 255.373666 45.628372 \nL 260.525723 44.97882 \nL 265.396762 44.58463 \nL 269.954821 44.449644 \nL 274.170222 44.577632 \nL 277.401653 44.887765 \nL 280.362059 45.384956 \nL 283.038708 46.070992 \nL 285.420428 46.947407 \nL 287.106956 47.7865 \nL 288.594442 48.748799 \nL 289.879439 49.834703 \nL 290.959233 51.044469 \nL 291.831803 52.378188 \nL 292.495833 53.83577 \nL 292.950759 55.416956 \nL 293.19668 57.121316 \nL 293.23441 58.948184 \nL 293.065445 60.896723 \nL 292.691947 62.96587 \nL 291.941775 65.719924 \nL 290.883265 68.657442 \nL 289.524656 71.774864 \nL 287.511763 75.747425 \nL 285.099411 79.96497 \nL 282.308677 84.418129 \nL 278.605382 89.897194 \nL 273.831304 96.510049 \nL 267.844312 104.359454 \nL 260.535181 113.531347 \nL 251.026643 125.058827 \nL 239.191502 139.040414 \nL 223.297071 157.462543 \nL 206.300603 176.838858 \nL 193.083404 191.604715 \nL 182.787188 202.803352 \nL 174.453107 211.569362 \nL 167.169672 218.925099 \nL 160.880452 224.977748 \nL 155.525621 229.859538 \nL 150.312003 234.323845 \nL 145.956769 237.79787 \nL 141.706894 240.93069 \nL 137.562599 243.70924 \nL 133.523996 246.122439 \nL 130.239344 247.847792 \nL 127.028413 249.309101 \nL 123.89158 250.503443 \nL 120.829415 251.428985 \nL 117.842784 252.085053 \nL 114.932872 252.472104 \nL 112.101232 252.591741 \nL 109.349788 252.446703 \nL 106.68094 252.040841 \nL 104.097541 251.379086 \nL 101.602921 250.467433 \nL 99.200939 249.312845 \nL 96.895949 247.923266 \nL 94.692865 246.307522 \nL 92.597091 244.475241 \nL 90.614576 242.436792 \nL 88.751737 240.20324 \nL 87.015445 237.786206 \nL 85.413098 235.19782 \nL 83.952423 232.450606 \nL 82.641571 229.557408 \nL 81.488986 226.531291 \nL 80.50341 223.385471 \nL 79.693722 220.133176 \nL 79.069002 216.787612 \nL 78.638362 213.361839 \nL 78.410912 209.868721 \nL 78.39567 206.320825 \nL 78.601493 202.730368 \nL 79.036953 199.109134 \nL 79.710307 195.468434 \nL 80.629364 191.819051 \nL 81.801388 188.171186 \nL 83.233058 184.534427 \nL 84.930368 180.917719 \nL 86.898507 177.329348 \nL 89.141809 173.776927 \nL 91.663711 170.267386 \nL 94.466579 166.806981 \nL 97.551745 163.401302 \nL 100.91941 160.055297 \nL 104.568581 156.773293 \nL 108.497027 153.559028 \nL 112.701249 150.415696 \nL 117.17646 147.345984 \nL 121.916517 144.352126 \nL 126.913959 141.435958 \nL 132.159986 138.598969 \nL 138.768965 135.300781 \nL 145.701145 132.120015 \nL 152.93375 129.058048 \nL 160.441387 126.116101 \nL 168.196139 123.295401 \nL 177.515117 120.159679 \nL 187.077148 117.193551 \nL 196.826527 114.400482 \nL 206.704241 111.784925 \nL 218.070797 109.020337 \nL 229.428345 106.505404 \nL 240.678418 104.252809 \nL 251.721158 102.277461 \nL 262.456656 100.596336 \nL 271.520669 99.381374 \nL 280.209653 98.419336 \nL 288.461685 97.724065 \nL 296.217975 97.309587 \nL 302.429848 97.188294 \nL 308.20504 97.291839 \nL 313.514229 97.628124 \nL 317.563534 98.091385 \nL 321.257396 98.72504 \nL 324.583964 99.532331 \nL 327.533039 100.51596 \nL 329.614819 101.431241 \nL 331.446127 102.461486 \nL 333.024247 103.60715 \nL 334.347223 104.868379 \nL 335.41382 106.244999 \nL 336.223603 107.736496 \nL 336.776857 109.341992 \nL 337.074567 111.060268 \nL 337.118486 112.889723 \nL 336.911035 114.828391 \nL 336.455323 116.873938 \nL 335.7551 119.023636 \nL 334.814711 121.274397 \nL 333.309103 124.224651 \nL 331.446877 127.319805 \nL 329.240094 130.551413 \nL 326.701894 133.910197 \nL 323.238484 138.094359 \nL 319.344074 142.42823 \nL 315.045882 146.891497 \nL 309.558734 152.233271 \nL 303.606449 157.685389 \nL 297.235505 163.209781 \nL 290.492241 168.766997 \nL 283.422274 174.316625 \nL 276.069972 179.817726 \nL 268.477974 185.229278 \nL 260.686877 190.51063 \nL 252.73489 195.621957 \nL 244.657707 200.524728 \nL 237.659879 204.533142 \nL 230.613639 208.339301 \nL 223.536839 211.922632 \nL 216.445962 215.26409 \nL 209.356222 218.34634 \nL 202.281657 221.153915 \nL 195.235251 223.673344 \nL 189.393491 225.544512 \nL 183.586253 227.202277 \nL 177.819803 228.642368 \nL 172.100162 229.861647 \nL 166.433183 230.858122 \nL 160.824609 231.630971 \nL 155.280139 232.180519 \nL 149.805489 232.508275 \nL 144.40647 232.616871 \nL 139.088989 232.510068 \nL 133.859187 232.192705 \nL 128.723419 231.670668 \nL 123.688315 230.950855 \nL 118.760816 230.041102 \nL 113.948216 228.950109 \nL 109.258166 227.687423 \nL 104.698668 226.263295 \nL 99.411455 224.356682 \nL 94.339557 222.253325 \nL 89.498934 219.974162 \nL 84.906225 217.540875 \nL 80.578638 214.975669 \nL 76.533888 212.301025 \nL 72.790051 209.539475 \nL 69.365444 206.713376 \nL 66.278417 203.844666 \nL 63.547184 200.95466 \nL 61.555885 198.544865 \nL 59.83419 196.145853 \nL 58.391855 193.768379 \nL 57.238202 191.42257 \nL 56.382048 189.117872 \nL 55.916885 187.309584 \nL 55.651319 185.537281 \nL 55.588966 183.804725 \nL 55.733112 182.115328 \nL 56.086695 180.472157 \nL 56.652307 178.877917 \nL 57.432134 177.334949 \nL 58.427963 175.845234 \nL 59.641157 174.410383 \nL 61.072647 173.031656 \nL 62.722909 171.70995 \nL 65.093392 170.138812 \nL 67.804765 168.657944 \nL 70.854922 167.26689 \nL 74.240567 165.964445 \nL 77.95726 164.748706 \nL 82.846358 163.400643 \nL 88.192278 162.168237 \nL 93.980931 161.044951 \nL 101.272042 159.862456 \nL 109.113893 158.805516 \nL 118.707511 157.733743 \nL 130.23909 156.676489 \nL 143.867109 155.651611 \nL 161.17499 154.578821 \nL 183.919764 153.400687 \nL 216.913792 151.935125 \nL 252.999182 150.550596 \nL 277.05735 149.828417 \nL 294.085189 149.512698 \nL 307.400489 149.459491 \nL 318.580683 149.618423 \nL 327.800497 149.955343 \nL 335.263934 150.422243 \nL 342.125758 151.066888 \nL 347.504044 151.772349 \nL 352.399019 152.62795 \nL 356.795555 153.641051 \nL 360.069474 154.610022 \nL 362.982684 155.695325 \nL 365.530672 156.898915 \nL 367.303939 157.947743 \nL 368.840402 159.073194 \nL 370.139607 160.275077 \nL 371.201637 161.552819 \nL 372.027106 162.905458 \nL 372.617145 164.331634 \nL 372.973434 165.829587 \nL 373.098099 167.397155 \nL 372.993761 169.031777 \nL 372.663495 170.73049 \nL 372.110832 172.489936 \nL 371.339683 174.306377 \nL 370.075118 176.650773 \nL 368.485085 179.068929 \nL 366.579553 181.551177 \nL 364.369134 184.087046 \nL 361.865054 186.665347 \nL 358.488965 189.798583 \nL 354.72775 192.954231 \nL 350.602846 196.109681 \nL 346.136028 199.241526 \nL 341.349176 202.325776 \nL 336.264044 205.338096 \nL 330.902078 208.254056 \nL 325.284325 211.049388 \nL 319.431215 213.700208 \nL 313.362483 216.183302 \nL 307.097072 218.476345 \nL 300.653109 220.558147 \nL 295.159232 222.117277 \nL 289.562915 223.505278 \nL 283.873305 224.712355 \nL 278.09917 225.72962 \nL 272.248919 226.549189 \nL 266.33067 227.164224 \nL 260.352251 227.568982 \nL 254.321281 227.758863 \nL 248.245209 227.730465 \nL 242.131372 227.481603 \nL 235.98706 227.011291 \nL 229.81959 226.319827 \nL 223.636346 225.408742 \nL 217.444868 224.28078 \nL 211.252902 222.939917 \nL 205.06847 221.391321 \nL 198.899927 219.641309 \nL 192.756016 217.697307 \nL 185.428789 215.120475 \nL 178.167055 212.293139 \nL 170.98868 209.233772 \nL 163.912677 205.962562 \nL 156.959273 202.501255 \nL 150.149861 198.872878 \nL 143.507009 195.101576 \nL 137.054426 191.212342 \nL 129.799909 186.560071 \nL 122.878828 181.823498 \nL 116.333275 177.044134 \nL 110.206238 172.263155 \nL 105.320492 168.194498 \nL 100.801351 164.178965 \nL 96.675676 160.240279 \nL 92.96968 156.401026 \nL 89.708584 152.682479 \nL 87.348131 149.690214 \nL 85.326243 146.806121 \nL 83.65502 144.039936 \nL 82.345521 141.400506 \nL 81.56507 139.385576 \nL 81.027026 137.460465 \nL 80.735341 135.628384 \nL 80.693409 133.892139 \nL 80.90401 132.254129 \nL 81.369342 130.71634 \nL 82.090916 129.280354 \nL 83.0696 127.947352 \nL 84.305574 126.718116 \nL 85.79835 125.593044 \nL 87.546714 124.572158 \nL 89.548794 123.655114 \nL 91.802001 122.841224 \nL 94.966634 121.967337 \nL 98.510641 121.250346 \nL 102.424522 120.686888 \nL 106.697239 120.272974 \nL 112.280386 119.967241 \nL 118.337702 119.861546 \nL 125.967525 119.978319 \nL 134.158292 120.338275 \nL 144.139884 121.025954 \nL 154.704422 121.984132 \nL 167.177637 123.354578 \nL 180.148811 125.002564 \nL 194.983461 127.122305 \nL 210.084369 129.511295 \nL 225.268415 132.140725 \nL 240.356799 134.989443 \nL 253.71252 137.729538 \nL 266.733162 140.631532 \nL 277.936061 143.34644 \nL 288.714699 146.190623 \nL 297.746098 148.78801 \nL 306.362263 151.489941 \nL 314.52734 154.299585 \nL 321.142857 156.795902 \nL 327.386272 159.375253 \nL 333.242648 162.038863 \nL 338.699386 164.787374 \nL 342.934051 167.142611 \nL 346.879515 169.55624 \nL 350.532364 172.027267 \nL 353.890284 174.554174 \nL 356.952047 177.134878 \nL 359.717518 179.76669 \nL 362.187562 182.446289 \nL 364.36404 185.169692 \nL 366.249752 187.932252 \nL 367.848368 190.728632 \nL 369.164368 193.552822 \nL 370.203007 196.398131 \nL 370.970202 199.257203 \nL 371.472487 202.122052 \nL 371.716913 204.984063 \nL 371.711036 207.834053 \nL 371.462763 210.662316 \nL 370.980328 213.458639 \nL 370.272167 216.212394 \nL 369.346895 218.912589 \nL 368.213198 221.547923 \nL 366.879757 224.106874 \nL 365.355239 226.577745 \nL 363.648152 228.948756 \nL 361.766825 231.208158 \nL 359.719357 233.344271 \nL 357.513568 235.345556 \nL 355.156974 237.200756 \nL 352.656667 238.898915 \nL 350.019382 240.429514 \nL 347.251438 241.782509 \nL 344.358734 242.948411 \nL 341.346692 243.918381 \nL 338.220303 244.684274 \nL 334.984099 245.238727 \nL 331.642204 245.575191 \nL 328.198296 245.687971 \nL 324.655651 245.572302 \nL 321.017209 245.224383 \nL 317.28557 244.64139 \nL 313.463027 243.821481 \nL 309.551641 242.763834 \nL 305.553231 241.46869 \nL 301.46953 239.93727 \nL 296.45878 237.790921 \nL 291.3303 235.313414 \nL 286.086937 232.512533 \nL 280.731826 229.398025 \nL 275.268518 225.98147 \nL 268.763491 221.631595 \nL 262.124841 216.912724 \nL 255.362274 211.851511 \nL 247.497161 205.68546 \nL 238.500964 198.317956 \nL 229.384609 190.56288 \nL 219.170414 181.582379 \nL 207.919375 171.384004 \nL 196.768049 160.989811 \nL 184.8794 149.596098 \nL 174.402843 139.253639 \nL 165.375873 130.053855 \nL 157.771577 122.021838 \nL 150.764074 114.293334 \nL 145.117205 107.728091 \nL 140.681865 102.251221 \nL 136.76456 97.04961 \nL 133.850504 92.826793 \nL 131.371354 88.834637 \nL 129.653406 85.692013 \nL 128.263922 82.722867 \nL 127.212863 79.932148 \nL 126.621429 77.83095 \nL 126.2557 75.848575 \nL 126.118658 73.986634 \nL 126.212563 72.246471 \nL 126.539003 70.629158 \nL 127.098821 69.135491 \nL 127.892136 67.766019 \nL 128.91828 66.521072 \nL 130.175822 65.400735 \nL 131.662584 64.404857 \nL 133.375622 63.533083 \nL 135.311231 62.784855 \nL 137.464968 62.159451 \nL 140.455927 61.549031 \nL 143.767898 61.127015 \nL 147.387562 60.890995 \nL 151.30001 60.838308 \nL 156.358267 61.013006 \nL 161.783596 61.442236 \nL 167.542573 62.12051 \nL 173.599566 63.042241 \nL 179.917089 64.201852 \nL 187.564735 65.848086 \nL 195.450104 67.802353 \nL 203.508164 70.056849 \nL 211.673452 72.604352 \nL 218.708255 75.016123 \nL 225.733671 77.634535 \nL 232.710337 80.456111 \nL 239.600197 83.477662 \nL 246.366797 86.696188 \nL 252.975571 90.108759 \nL 259.394104 93.712481 \nL 264.575795 96.859426 \nL 269.588411 100.135147 \nL 274.4172 103.537603 \nL 279.04877 107.064518 \nL 283.471109 110.713341 \nL 287.673645 114.481157 \nL 291.647252 118.364662 \nL 295.38423 122.360087 \nL 298.878336 126.463153 \nL 302.124761 130.66901 \nL 305.120096 134.972208 \nL 307.862312 139.366629 \nL 310.350664 143.845483 \nL 312.58569 148.401253 \nL 314.569124 153.025682 \nL 316.303852 157.709756 \nL 317.793764 162.443699 \nL 319.043753 167.216969 \nL 320.05956 172.018271 \nL 320.847737 176.835568 \nL 321.415494 181.656125 \nL 321.770664 186.466523 \nL 321.921543 191.252719 \nL 321.876862 196.000101 \nL 321.577779 201.624371 \nL 321.026004 207.143954 \nL 320.237678 212.531171 \nL 319.228964 217.75781 \nL 318.015791 222.795431 \nL 316.613728 227.615568 \nL 315.037796 232.190015 \nL 313.302307 236.491087 \nL 311.42078 240.491914 \nL 309.750424 243.577957 \nL 307.994217 246.423357 \nL 306.158407 249.014682 \nL 304.248752 251.33934 \nL 302.270471 253.38575 \nL 300.22825 255.143362 \nL 298.12625 256.602786 \nL 296.404064 257.550094 \nL 294.647587 258.297707 \nL 292.858232 258.842573 \nL 291.037241 259.182216 \nL 289.185664 259.314711 \nL 287.30437 259.238739 \nL 285.394081 258.953568 \nL 283.455359 258.459041 \nL 281.488626 257.755623 \nL 279.494204 256.844343 \nL 276.962535 255.415467 \nL 274.388116 253.668829 \nL 271.770988 251.610175 \nL 269.111076 249.246634 \nL 265.862543 246.019753 \nL 262.55202 242.382527 \nL 259.17945 238.35385 \nL 255.166691 233.187013 \nL 251.070916 227.55223 \nL 246.291265 220.589787 \nL 240.79505 212.164968 \nL 234.554937 202.177542 \nL 226.916356 189.500615 \nL 217.876038 174.044425 \nL 207.540547 155.933752 \nL 197.453422 137.822709 \nL 189.661207 123.419319 \nL 183.50603 111.622724 \nL 178.37125 101.311791 \nL 174.207305 92.432773 \nL 170.927711 84.899324 \nL 168.42185 78.608796 \nL 166.286226 72.617311 \nL 164.770856 67.731021 \nL 163.562624 63.083324 \nL 162.675034 58.68111 \nL 162.188678 55.204338 \nL 161.938497 51.904896 \nL 161.928825 48.785133 \nL 162.162786 45.846951 \nL 162.64224 43.091818 \nL 163.202967 41.020264 \nL 163.920842 39.066951 \nL 164.794956 37.232147 \nL 165.823838 35.515983 \nL 167.005454 33.918477 \nL 168.337198 32.43952 \nL 169.81589 31.078946 \nL 171.437818 29.836473 \nL 173.660097 28.448962 \nL 176.089968 27.244691 \nL 178.716689 26.222773 \nL 181.528341 25.382236 \nL 184.511893 24.722083 \nL 187.653287 24.241295 \nL 190.93754 23.938849 \nL 195.04489 23.809981 \nL 199.306432 23.935014 \nL 203.692249 24.312552 \nL 208.171486 24.94145 \nL 212.712669 25.820788 \nL 217.284005 26.949883 \nL 221.853702 28.328321 \nL 226.390278 29.955861 \nL 230.862859 31.832487 \nL 234.519476 33.586711 \nL 238.094097 35.514132 \nL 241.570675 37.61489 \nL 244.933943 39.889085 \nL 248.169494 42.336816 \nL 251.263883 44.958034 \nL 254.204676 47.752606 \nL 256.980534 50.720175 \nL 259.581263 53.8602 \nL 261.997856 57.171853 \nL 264.222513 60.653988 \nL 266.248688 64.305069 \nL 268.071069 68.123194 \nL 269.685598 72.105957 \nL 271.089469 76.25046 \nL 272.281074 80.553251 \nL 273.259996 85.010261 \nL 274.026953 89.616801 \nL 274.583754 94.367503 \nL 274.933253 99.256296 \nL 275.079269 104.276351 \nL 275.026508 109.42009 \nL 274.780498 114.679148 \nL 274.23906 121.129267 \nL 273.440439 127.714819 \nL 272.397811 134.416721 \nL 271.125259 141.214219 \nL 269.637546 148.084915 \nL 267.650301 156.161133 \nL 265.415592 164.263535 \nL 262.958106 172.348807 \nL 260.30219 180.371308 \nL 257.471504 188.283414 \nL 254.48871 196.035904 \nL 251.375214 203.578409 \nL 248.150981 210.859942 \nL 244.834354 217.829429 \nL 241.441978 224.436323 \nL 237.988757 230.631209 \nL 234.990448 235.577027 \nL 231.96443 240.156546 \nL 228.917136 244.342804 \nL 226.365548 247.512814 \nL 223.805964 250.37895 \nL 221.240921 252.929044 \nL 218.672678 255.152178 \nL 216.103249 257.038806 \nL 214.048077 258.30033 \nL 211.99417 259.337814 \nL 209.942338 260.148417 \nL 207.89336 260.729965 \nL 205.848 261.080956 \nL 203.807025 261.200551 \nL 201.771216 261.088593 \nL 199.741386 260.745596 \nL 197.718402 260.172764 \nL 195.70319 259.371948 \nL 193.696756 258.345696 \nL 191.700204 257.09718 \nL 189.71474 255.630177 \nL 187.250544 253.495973 \nL 184.808654 251.037227 \nL 182.392322 248.265168 \nL 180.005186 245.192282 \nL 177.651303 241.832191 \nL 174.876888 237.441715 \nL 172.165444 232.685937 \nL 169.526552 227.59357 \nL 166.970709 222.194636 \nL 164.50937 216.520177 \nL 162.154885 210.601916 \nL 159.560641 203.431997 \nL 157.151989 196.025108 \nL 154.952283 188.431986 \nL 153.25148 181.813144 \nL 151.737574 175.124603 \nL 150.426277 168.395888 \nL 149.333223 161.655351 \nL 148.473782 154.930011 \nL 147.862808 148.245424 \nL 147.514457 141.625576 \nL 147.43434 136.17466 \nL 147.552816 130.796272 \nL 147.876248 125.501607 \nL 148.410244 120.301015 \nL 149.159581 115.204016 \nL 150.128108 110.219295 \nL 151.318682 105.354734 \nL 152.73308 100.617417 \nL 154.371952 96.013679 \nL 156.234749 91.549128 \nL 158.319678 87.228676 \nL 160.623675 83.056592 \nL 163.142374 79.036532 \nL 165.870056 75.171621 \nL 168.799703 71.464482 \nL 171.922958 67.917275 \nL 175.230154 64.531766 \nL 178.710344 61.309384 \nL 182.351347 58.251274 \nL 186.139783 55.358333 \nL 190.061155 52.631283 \nL 194.099911 50.070689 \nL 198.239533 47.677048 \nL 203.315672 45.025647 \nL 208.48046 42.61601 \nL 213.701064 40.448926 \nL 218.943616 38.525265 \nL 224.173534 36.846142 \nL 229.355844 35.412833 \nL 234.455517 34.226866 \nL 239.43781 33.29001 \nL 244.268602 32.604273 \nL 248.914744 32.171839 \nL 253.344373 31.995065 \nL 257.527236 32.076434 \nL 260.803939 32.343242 \nL 263.874304 32.792511 \nL 266.72422 33.425652 \nL 269.340841 34.243991 \nL 271.712656 35.24876 \nL 273.426999 36.187525 \nL 274.973647 37.246765 \nL 276.348708 38.426855 \nL 277.548912 39.728075 \nL 278.571621 41.150609 \nL 279.414848 42.69449 \nL 280.077235 44.359651 \nL 280.558062 46.145869 \nL 280.857246 48.052777 \nL 280.975337 50.079837 \nL 280.91348 52.226335 \nL 280.58583 55.076076 \nL 279.984455 58.108934 \nL 279.115373 61.322309 \nL 277.985857 64.713105 \nL 276.298621 69.011173 \nL 274.265184 73.55234 \nL 271.480159 79.146456 \nL 268.281644 85.04496 \nL 264.164731 92.136586 \nL 259.010763 100.526349 \nL 252.730651 110.30388 \nL 244.578877 122.569287 \nL 232.975341 139.588186 \nL 216.343313 163.559831 \nL 200.465759 186.093872 \nL 189.440911 201.366092 \nL 181.613983 211.856695 \nL 174.719569 220.721494 \nL 169.366022 227.272081 \nL 164.160997 233.28119 \nL 159.729806 238.054376 \nL 156.023261 241.760336 \nL 152.400906 245.09163 \nL 148.862194 248.032386 \nL 145.976736 250.174724 \nL 143.148658 252.029576 \nL 140.377797 253.591404 \nL 137.664152 254.855892 \nL 135.007935 255.82 \nL 132.409659 256.481971 \nL 130.37331 256.793664 \nL 128.375162 256.912047 \nL 126.415976 256.838042 \nL 124.496703 256.573101 \nL 122.618453 256.119192 \nL 120.782568 255.478813 \nL 118.99057 254.654961 \nL 117.244204 253.651123 \nL 115.128431 252.149296 \nL 113.091385 250.3812 \nL 111.137917 248.35658 \nL 109.27345 246.086171 \nL 107.503935 243.58156 \nL 105.835863 240.855141 \nL 104.27622 237.919972 \nL 102.832468 234.789741 \nL 101.512493 231.478578 \nL 100.103602 227.286849 \nL 98.89991 222.88119 \nL 97.916945 218.287571 \nL 97.170679 213.53205 \nL 96.741317 209.464142 \nL 96.496976 205.316596 \nL 96.447011 201.103923 \nL 96.600607 196.840298 \nL 96.966727 192.539475 \nL 97.553975 188.214709 \nL 98.370555 183.878703 \nL 99.424118 179.543567 \nL 100.721705 175.220768 \nL 102.269647 170.921103 \nL 104.073462 166.65466 \nL 106.137758 162.430823 \nL 108.466193 158.25825 \nL 111.061357 154.144879 \nL 113.924665 150.097935 \nL 117.056361 146.12395 \nL 120.455431 142.228789 \nL 124.119516 138.417672 \nL 128.044928 134.695224 \nL 132.226562 131.065513 \nL 136.657901 127.532095 \nL 141.330986 124.098068 \nL 146.236425 120.766135 \nL 151.363399 117.538652 \nL 156.699663 114.417682 \nL 162.231587 111.405079 \nL 169.106978 107.935367 \nL 176.214147 104.626856 \nL 183.522189 101.482194 \nL 190.997867 98.504091 \nL 198.605785 95.695424 \nL 207.598944 92.637016 \nL 216.659197 89.819171 \nL 225.722085 87.248321 \nL 234.721411 84.931807 \nL 243.589974 82.877834 \nL 252.260325 81.095551 \nL 260.66557 79.59482 \nL 268.740179 78.3862 \nL 276.420776 77.480672 \nL 282.644662 76.954211 \nL 288.49875 76.665661 \nL 293.949515 76.621856 \nL 298.966111 76.829294 \nL 302.794742 77.198432 \nL 306.288018 77.74939 \nL 309.43316 78.484942 \nL 311.691144 79.207877 \nL 313.714386 80.051427 \nL 315.498815 81.016366 \nL 317.041092 82.103217 \nL 318.338689 83.312244 \nL 319.389832 84.643465 \nL 320.193527 86.096589 \nL 320.749561 87.671063 \nL 321.058454 89.366026 \nL 321.121516 91.180297 \nL 320.940745 93.112392 \nL 320.518888 95.160495 \nL 319.85935 97.322475 \nL 318.966189 99.595868 \nL 317.52841 102.59003 \nL 315.74341 105.747758 \nL 313.622943 109.062113 \nL 310.653859 113.235214 \nL 307.244748 117.608058 \nL 303.421809 122.164488 \nL 298.47568 127.688886 \nL 293.049886 133.409197 \nL 286.322208 140.145232 \nL 279.10104 147.044067 \nL 271.457375 154.052053 \nL 262.439632 161.9971 \nL 253.069852 169.928371 \nL 243.437111 177.763388 \nL 234.720476 184.580467 \nL 225.913599 191.199484 \nL 217.063922 197.565087 \nL 209.318715 202.885335 \nL 201.598349 207.9372 \nL 193.925157 212.689097 \nL 186.318839 217.111882 \nL 179.865543 220.620809 \nL 173.483788 223.853654 \nL 167.182246 226.797353 \nL 160.968745 229.440727 \nL 154.850444 231.774574 \nL 148.834003 233.791764 \nL 143.902662 235.227173 \nL 139.049995 236.437412 \nL 134.279538 237.421759 \nL 129.594847 238.180579 \nL 124.999601 238.715276 \nL 120.497606 239.028272 \nL 116.092888 239.123031 \nL 111.789728 239.003967 \nL 107.592683 238.676484 \nL 103.506625 238.146868 \nL 99.536775 237.422249 \nL 95.688716 236.510587 \nL 91.968418 235.420566 \nL 88.382267 234.161557 \nL 84.936995 232.743522 \nL 81.639759 231.176938 \nL 78.498032 229.472744 \nL 75.519667 227.64224 \nL 72.712825 225.696988 \nL 70.085961 223.648764 \nL 67.647713 221.509443 \nL 65.406978 219.290933 \nL 63.372733 217.005074 \nL 61.554046 214.663574 \nL 59.959997 212.277906 \nL 58.599612 209.859254 \nL 57.481792 207.418425 \nL 56.615237 204.965804 \nL 56.00837 202.511262 \nL 55.669257 200.064128 \nL 55.60555 197.633107 \nL 55.757687 195.705334 \nL 56.094073 193.796865 \nL 56.617837 191.911215 \nL 57.331844 190.051613 \nL 58.238661 188.220968 \nL 59.34053 186.421886 \nL 60.639364 184.656662 \nL 62.542212 182.50073 \nL 64.757397 180.403958 \nL 67.286169 178.368792 \nL 70.128792 176.396954 \nL 73.284503 174.489466 \nL 76.751507 172.646694 \nL 80.526918 170.868383 \nL 85.458877 168.818296 \nL 90.820357 166.857403 \nL 96.600237 164.982366 \nL 102.785187 163.189072 \nL 110.49212 161.193885 \nL 118.700904 159.295305 \nL 128.655558 157.232728 \nL 140.520648 155.033711 \nL 153.008619 152.94675 \nL 167.500187 150.74155 \nL 185.553988 148.233581 \nL 205.641861 145.67485 \nL 227.494207 143.11387 \nL 249.122139 140.79934 \nL 268.591609 138.940549 \nL 284.318173 137.652447 \nL 297.822663 136.764143 \nL 309.196324 136.238999 \nL 318.595017 136.02296 \nL 326.212399 136.049642 \nL 333.219034 136.295775 \nL 338.709565 136.693624 \nL 343.702007 137.273686 \nL 347.468423 137.902114 \nL 350.866816 138.666688 \nL 353.889406 139.570705 \nL 356.529958 140.6167 \nL 358.364088 141.556903 \nL 359.948899 142.589565 \nL 361.283292 143.714794 \nL 362.366801 144.93231 \nL 363.199563 146.241437 \nL 363.782351 147.641096 \nL 364.116528 149.129794 \nL 364.204028 150.705625 \nL 364.047367 152.366268 \nL 363.64961 154.108985 \nL 363.014352 155.930628 \nL 362.145672 157.827642 \nL 360.738525 160.298843 \nL 358.983618 162.873042 \nL 356.891765 165.540771 \nL 354.474604 168.291701 \nL 351.162105 171.686924 \nL 347.421692 175.165283 \nL 343.276969 178.704802 \nL 338.752343 182.282355 \nL 333.872642 185.873862 \nL 328.66293 189.454517 \nL 323.148257 192.999016 \nL 317.353367 196.481819 \nL 311.302594 199.877368 \nL 305.019626 203.16037 \nL 298.527394 206.306024 \nL 291.847943 209.290278 \nL 285.002397 212.090088 \nL 278.010861 214.683638 \nL 270.89243 217.050565 \nL 264.876565 218.836355 \nL 258.795144 220.441926 \nL 252.657696 221.858408 \nL 246.473366 223.077978 \nL 240.250936 224.093911 \nL 233.998881 224.900626 \nL 227.725432 225.493717 \nL 221.438615 225.870002 \nL 215.146327 226.027566 \nL 208.856393 225.965706 \nL 202.576632 225.685026 \nL 196.31492 225.187353 \nL 190.079256 224.475779 \nL 183.877821 223.554604 \nL 177.719034 222.429315 \nL 171.611608 221.106549 \nL 165.564598 219.594042 \nL 159.587442 217.900557 \nL 152.520968 215.64328 \nL 145.587187 213.158007 \nL 138.80493 210.464946 \nL 132.194022 207.585769 \nL 125.775253 204.543361 \nL 119.570293 201.361613 \nL 113.601703 198.065168 \nL 107.89276 194.679169 \nL 102.467331 191.228998 \nL 97.349695 187.740042 \nL 92.564387 184.237427 \nL 88.135949 180.745783 \nL 84.088673 177.289006 \nL 80.446384 173.890039 \nL 77.232177 170.570662 \nL 74.896596 167.880088 \nL 72.885711 165.270001 \nL 71.210863 162.750611 \nL 69.882506 160.331271 \nL 68.910217 158.020424 \nL 68.394486 156.254935 \nL 68.115909 154.567093 \nL 68.077814 152.959883 \nL 68.283024 151.435878 \nL 68.73379 149.997234 \nL 69.431825 148.645694 \nL 70.378259 147.382588 \nL 71.573611 146.208836 \nL 73.017838 145.124958 \nL 74.710243 144.13108 \nL 76.649547 143.226946 \nL 79.417893 142.222003 \nL 82.563933 141.354312 \nL 86.081113 140.621088 \nL 89.961433 140.018805 \nL 95.083899 139.462953 \nL 100.69695 139.081192 \nL 107.836833 138.843203 \nL 115.576935 138.812886 \nL 125.103136 139.010021 \nL 136.604464 139.494828 \nL 150.232256 140.314567 \nL 166.07377 141.498702 \nL 185.654627 143.197318 \nL 208.942983 145.455463 \nL 232.428335 147.946698 \nL 254.030926 150.442755 \nL 273.427163 152.909101 \nL 289.093302 155.127297 \nL 302.58032 157.272036 \nL 313.998777 159.328238 \nL 323.508499 161.273138 \nL 331.294201 163.077294 \nL 338.549342 164.986827 \nL 344.326283 166.714006 \nL 349.680839 168.529734 \nL 354.601457 170.438006 \nL 359.078813 172.441866 \nL 362.466182 174.186209 \nL 365.537871 175.998787 \nL 368.292052 177.879439 \nL 370.727923 179.827318 \nL 372.845746 181.840856 \nL 374.64675 183.91775 \nL 375.860896 185.62284 \nL 376.875233 187.36459 \nL 377.691686 189.140744 \nL 378.312505 190.948729 \nL 378.740313 192.785651 \nL 378.977973 194.648297 \nL 379.028689 196.533154 \nL 378.895917 198.43641 \nL 378.477548 200.83506 \nL 377.785887 203.247391 \nL 376.829105 205.664138 \nL 375.615678 208.075469 \nL 374.154411 210.471006 \nL 372.454343 212.839918 \nL 370.524647 215.170976 \nL 368.374616 217.452625 \nL 366.013519 219.67307 \nL 363.450563 221.820343 \nL 360.694902 223.882393 \nL 357.755446 225.847165 \nL 354.640916 227.702697 \nL 351.359767 229.437182 \nL 347.920151 231.039105 \nL 344.329898 232.497276 \nL 340.596462 233.800953 \nL 336.726924 234.939868 \nL 332.728006 235.904392 \nL 328.60602 236.68551 \nL 324.366926 237.274969 \nL 320.016307 237.665308 \nL 315.559414 237.849901 \nL 311.001154 237.823072 \nL 306.346197 237.580063 \nL 301.59893 237.117114 \nL 296.763572 236.43151 \nL 291.844175 235.52155 \nL 286.844709 234.386619 \nL 281.769122 233.027157 \nL 276.621356 231.444684 \nL 271.405481 229.641781 \nL 265.062463 227.192523 \nL 258.635151 224.439345 \nL 252.131884 221.392558 \nL 245.561797 218.064423 \nL 238.934978 214.46906 \nL 232.262607 210.622366 \nL 224.437236 205.840323 \nL 216.58886 200.770344 \nL 208.742236 195.44512 \nL 199.812369 189.091221 \nL 190.966907 182.503799 \nL 182.256839 175.739441 \nL 173.738041 168.856117 \nL 165.470925 161.912438 \nL 157.519832 154.966933 \nL 149.952383 148.077331 \nL 142.838465 141.299869 \nL 136.249178 134.688628 \nL 130.969766 129.080558 \nL 126.193146 123.671362 \nL 122.533341 119.216033 \nL 119.303215 114.946401 \nL 116.5282 110.878489 \nL 114.580356 107.653176 \nL 112.977258 104.585603 \nL 111.730038 101.682535 \nL 110.995082 99.482553 \nL 110.498462 97.394342 \nL 110.243837 95.420248 \nL 110.234228 93.562275 \nL 110.47191 91.822092 \nL 110.958477 90.201043 \nL 111.694765 88.700146 \nL 112.680859 87.320101 \nL 113.916061 86.061308 \nL 115.398922 84.923887 \nL 117.127203 83.907655 \nL 119.097911 83.012181 \nL 121.307251 82.23675 \nL 123.750711 81.580441 \nL 127.126145 80.925825 \nL 130.84722 80.452906 \nL 134.900363 80.158579 \nL 139.270394 80.039424 \nL 144.909114 80.122378 \nL 150.948556 80.445352 \nL 157.35463 81.00115 \nL 165.243121 81.934063 \nL 173.519952 83.16225 \nL 182.121234 84.67432 \nL 190.981024 86.459392 \nL 200.032145 88.507301 \nL 209.206978 90.808694 \nL 218.438245 93.355193 \nL 227.659766 96.139397 \nL 236.807161 99.154834 \nL 244.541789 101.919281 \nL 252.13923 104.846406 \nL 259.564213 107.933421 \nL 266.783624 111.177747 \nL 273.766715 114.57689 \nL 280.485271 118.128302 \nL 285.863493 121.202168 \nL 291.02694 124.378134 \nL 295.963709 127.654218 \nL 300.663314 131.028163 \nL 305.116687 134.497363 \nL 309.31619 138.058815 \nL 313.255618 141.709056 \nL 316.930168 145.444115 \nL 320.336404 149.259464 \nL 323.472244 153.149974 \nL 326.336905 157.109887 \nL 328.930842 161.132773 \nL 331.255715 165.211517 \nL 333.314272 169.338295 \nL 335.110328 173.504573 \nL 336.64863 177.701105 \nL 337.934854 181.917934 \nL 338.975406 186.144429 \nL 339.77743 190.369281 \nL 340.348654 194.580568 \nL 340.697312 198.765776 \nL 340.832061 202.911861 \nL 340.761864 207.0053 \nL 340.495918 211.032163 \nL 340.043577 214.978185 \nL 339.414217 218.828842 \nL 338.438493 223.303057 \nL 337.237295 227.593271 \nL 335.826153 231.67403 \nL 334.220053 235.52018 \nL 332.743048 238.528341 \nL 331.148406 241.342711 \nL 329.443507 243.949992 \nL 327.635263 246.337465 \nL 325.73007 248.493127 \nL 323.733814 250.405722 \nL 321.651834 252.064906 \nL 319.488896 253.461241 \nL 317.249251 254.586343 \nL 315.404815 255.286184 \nL 313.515307 255.804527 \nL 311.582187 256.13865 \nL 309.60667 256.286312 \nL 307.589823 256.245818 \nL 305.532476 256.015967 \nL 303.435333 255.596076 \nL 300.758732 254.803802 \nL 298.021478 253.715283 \nL 295.223975 252.332661 \nL 292.366369 250.659356 \nL 289.448588 248.699959 \nL 286.470424 246.460297 \nL 282.816501 243.412606 \nL 279.07463 239.985425 \nL 275.244328 236.194851 \nL 270.663601 231.337383 \nL 265.962579 226.041429 \nL 260.444639 219.496018 \nL 254.057238 211.569665 \nL 246.008338 201.189119 \nL 236.196316 188.141158 \nL 222.227897 169.148288 \nL 203.458584 143.235016 \nL 189.157421 123.149462 \nL 180.046016 110.002771 \nL 172.975785 99.416313 \nL 167.741388 91.193787 \nL 163.576809 84.257468 \nL 160.355768 78.499602 \nL 157.566621 73.050251 \nL 155.544462 68.636266 \nL 153.882219 64.468038 \nL 152.783933 61.187348 \nL 151.955415 58.085732 \nL 151.403777 55.166169 \nL 151.134792 52.431167 \nL 151.126109 50.377427 \nL 151.302737 48.443929 \nL 151.665643 46.631322 \nL 152.215151 44.940079 \nL 152.950964 43.370522 \nL 153.872109 41.922811 \nL 154.976975 40.596953 \nL 156.263294 39.392848 \nL 157.728149 38.310264 \nL 159.367978 37.348837 \nL 161.178574 36.508125 \nL 163.674552 35.626198 \nL 166.419045 34.930865 \nL 169.399905 34.42079 \nL 172.603647 34.094529 \nL 176.015546 33.950528 \nL 180.362163 34.016124 \nL 184.956225 34.339223 \nL 189.766481 34.91716 \nL 194.760121 35.747396 \nL 199.903107 36.827564 \nL 205.160504 38.155489 \nL 210.496825 39.729262 \nL 215.876385 41.547174 \nL 221.263639 43.607754 \nL 226.623525 45.909749 \nL 231.921787 48.452089 \nL 237.125295 51.233769 \nL 241.36624 53.733989 \nL 245.501859 56.399203 \nL 249.515599 59.228765 \nL 253.391915 62.221934 \nL 257.116348 65.377823 \nL 260.675604 68.695304 \nL 264.057607 72.173039 \nL 267.251535 75.809368 \nL 270.247901 79.60225 \nL 273.038518 83.549235 \nL 275.616558 87.647397 \nL 277.976534 91.893295 \nL 280.114304 96.282912 \nL 282.027029 100.811603 \nL 283.713182 105.474063 \nL 285.172435 110.264275 \nL 286.405671 115.175477 \nL 287.414913 120.200127 \nL 288.203244 125.329897 \nL 288.774732 130.555624 \nL 289.134351 135.867317 \nL 289.287905 141.254142 \nL 289.24194 146.704433 \nL 289.003635 152.205691 \nL 288.474708 158.855686 \nL 287.694183 165.535394 \nL 286.677002 172.218804 \nL 285.438571 178.878484 \nL 283.994587 185.485723 \nL 282.360804 192.010697 \nL 280.552867 198.42268 \nL 278.586097 204.690217 \nL 276.475371 210.781417 \nL 274.23497 216.664169 \nL 271.878487 222.306449 \nL 269.418674 227.676582 \nL 266.867436 232.743564 \nL 264.235752 237.477361 \nL 261.533634 241.849242 \nL 259.234632 245.196349 \nL 256.897759 248.258502 \nL 254.527305 251.021994 \nL 252.127125 253.474266 \nL 249.700667 255.603987 \nL 247.250997 257.401162 \nL 245.276386 258.593645 \nL 243.289908 259.564054 \nL 241.29269 260.30931 \nL 239.28576 260.826965 \nL 237.270055 261.115248 \nL 235.246436 261.173041 \nL 233.215708 260.999903 \nL 231.178634 260.596084 \nL 229.135947 259.962495 \nL 227.088371 259.100715 \nL 225.036639 258.012985 \nL 222.981499 256.702193 \nL 220.408991 254.755464 \nL 217.834058 252.47398 \nL 215.258537 249.867373 \nL 212.68449 246.946631 \nL 210.11424 243.723983 \nL 207.038677 239.477209 \nL 203.977577 234.840113 \nL 200.936918 229.839665 \nL 197.424473 223.584774 \nL 193.961574 216.921797 \nL 190.562351 209.900042 \nL 187.242704 202.569889 \nL 183.568957 193.880217 \nL 180.051211 184.929935 \nL 176.721015 175.79354 \nL 173.612132 166.543374 \nL 171.101242 158.410735 \nL 168.811414 150.288273 \nL 166.767402 142.217669 \nL 164.993866 134.237909 \nL 163.707272 127.497863 \nL 162.651758 120.872121 \nL 161.841188 114.380007 \nL 161.288461 108.039182 \nL 161.005286 101.865643 \nL 160.982692 96.859218 \nL 161.159568 91.986414 \nL 161.54018 87.253928 \nL 162.127836 82.667739 \nL 162.92486 78.233093 \nL 163.932528 73.954624 \nL 165.150976 69.836286 \nL 166.57921 65.881465 \nL 168.215033 62.093 \nL 170.05503 58.473215 \nL 172.09455 55.02397 \nL 174.327721 51.746725 \nL 176.74743 48.64256 \nL 179.345352 45.712247 \nL 182.111974 42.95626 \nL 185.036645 40.374879 \nL 188.107608 37.968172 \nL 191.312077 35.736089 \nL 194.636296 33.678464 \nL 198.065623 31.79509 \nL 201.584608 30.085741 \nL 205.177099 28.550178 \nL 209.561487 26.936626 \nL 213.997689 25.572847 \nL 218.455081 24.458811 \nL 222.902586 23.59469 \nL 227.30898 22.980924 \nL 231.643198 22.618179 \nL 235.874632 22.507366 \nL 239.973444 22.64964 \nL 243.267012 22.962496 \nL 246.432523 23.452881 \nL 249.454772 24.121716 \nL 252.31942 24.969957 \nL 255.013069 25.998541 \nL 257.52337 27.208398 \nL 259.839067 28.600401 \nL 261.95011 30.175328 \nL 263.485612 31.567413 \nL 264.880529 33.077275 \nL 266.13147 34.705098 \nL 267.235574 36.450988 \nL 268.190555 38.314946 \nL 268.994672 40.296865 \nL 269.646727 42.396543 \nL 270.24704 45.186151 \nL 270.608736 48.158152 \nL 270.733052 51.311161 \nL 270.622472 54.64336 \nL 270.280669 58.152515 \nL 269.712473 61.83592 \nL 268.740173 66.481459 \nL 267.462464 71.366752 \nL 265.893233 76.484139 \nL 263.714816 82.735934 \nL 261.18778 89.275447 \nL 257.910115 97.077701 \nL 254.2606 105.200157 \nL 249.769001 114.676173 \nL 243.819398 126.663187 \nL 236.885315 140.116874 \nL 228.401696 156.084124 \nL 219.067133 173.182152 \nL 210.311523 188.774118 \nL 202.880298 201.579752 \nL 196.788976 211.680714 \nL 191.409418 220.210659 \nL 186.720745 227.267383 \nL 182.126466 233.763473 \nL 178.187059 238.940761 \nL 174.871497 242.972476 \nL 171.612792 246.606971 \nL 168.411079 249.825086 \nL 165.786509 252.176557 \nL 163.201482 254.218709 \nL 160.656025 255.944369 \nL 158.150259 257.34771 \nL 155.68448 258.424292 \nL 153.74097 259.04821 \nL 151.823721 259.460173 \nL 149.93322 259.659883 \nL 148.070095 259.647681 \nL 146.235119 259.424511 \nL 144.429211 258.991886 \nL 142.653487 258.351931 \nL 140.90923 257.507351 \nL 139.197915 256.461425 \nL 137.521217 255.217973 \nL 135.476909 253.392549 \nL 133.493786 251.274923 \nL 131.576505 248.875853 \nL 129.730262 246.207186 \nL 127.960768 243.281746 \nL 126.274261 240.113222 \nL 124.369512 236.010565 \nL 122.606508 231.604997 \nL 120.998675 226.923846 \nL 119.560304 221.995283 \nL 118.306308 216.847979 \nL 117.252206 211.510851 \nL 116.413862 206.012805 \nL 115.807376 200.382475 \nL 115.448867 194.647969 \nL 115.351029 189.809409 \nL 115.445463 184.932896 \nL 115.740879 180.03326 \nL 116.245585 175.124759 \nL 116.967413 170.221004 \nL 117.913604 165.334927 \nL 119.090733 160.478742 \nL 120.504593 155.663917 \nL 122.160097 150.901155 \nL 124.06119 146.200388 \nL 126.210808 141.57077 \nL 128.61073 137.020697 \nL 131.261572 132.557806 \nL 134.162668 128.189012 \nL 137.312048 123.92053 \nL 140.706382 119.757918 \nL 144.340934 115.70611 \nL 148.209553 111.76946 \nL 152.304638 107.951812 \nL 156.617152 104.256532 \nL 161.13661 100.686575 \nL 165.851103 97.24453 \nL 170.747351 93.932707 \nL 175.810712 90.753155 \nL 181.025258 87.707751 \nL 187.458037 84.232788 \nL 194.051941 80.95639 \nL 200.772982 77.881379 \nL 207.585267 75.010652 \nL 214.451265 72.347264 \nL 221.332112 69.894486 \nL 228.187935 67.65587 \nL 236.100672 65.319989 \nL 243.859335 63.287575 \nL 251.399332 61.565899 \nL 258.657147 60.162707 \nL 264.606755 59.219642 \nL 270.266447 58.521835 \nL 275.600777 58.074575 \nL 280.57647 57.8831 \nL 285.162753 57.95244 \nL 288.666906 58.212889 \nL 291.866563 58.660266 \nL 294.748733 59.296826 \nL 297.30206 60.124513 \nL 299.101446 60.925354 \nL 300.680084 61.850165 \nL 302.034623 62.899403 \nL 303.162453 64.073324 \nL 304.061723 65.371971 \nL 304.731356 66.795186 \nL 305.171013 68.342561 \nL 305.381101 70.013484 \nL 305.362767 71.807064 \nL 305.117876 73.722174 \nL 304.648993 75.757419 \nL 303.959361 77.911147 \nL 302.792871 80.76699 \nL 301.296512 83.800628 \nL 299.480615 87.007068 \nL 296.896201 91.074914 \nL 293.890735 95.372499 \nL 289.884804 100.660285 \nL 285.380636 106.222383 \nL 279.679631 112.884227 \nL 272.642548 120.720985 \nL 264.16638 129.782107 \nL 254.201122 140.075059 \nL 242.763734 151.546334 \nL 230.942638 163.099546 \nL 218.929611 174.551968 \nL 206.890744 185.717641 \nL 195.951114 195.542643 \nL 187.131844 203.188834 \nL 178.471912 210.403111 \nL 170.932547 216.397261 \nL 164.471767 221.28182 \nL 158.147458 225.800861 \nL 151.966746 229.929152 \nL 146.787592 233.139663 \nL 141.721021 236.034372 \nL 136.769512 238.602878 \nL 131.935337 240.836654 \nL 127.998039 242.437697 \nL 124.145011 243.799076 \nL 120.377623 244.919123 \nL 116.697429 245.797231 \nL 113.106141 246.433817 \nL 109.605767 246.83029 \nL 106.198611 246.989117 \nL 102.887317 246.913767 \nL 99.674907 246.608648 \nL 96.564795 246.079165 \nL 93.56085 245.331576 \nL 90.667364 244.373012 \nL 87.889114 243.211393 \nL 85.231301 241.855377 \nL 82.699622 240.31431 \nL 80.30023 238.598121 \nL 78.039697 236.717262 \nL 75.924992 234.682648 \nL 73.96348 232.505552 \nL 72.1629 230.197538 \nL 70.531252 227.77036 \nL 69.076825 225.23589 \nL 67.808105 222.606043 \nL 66.733739 219.89269 \nL 65.862438 217.107573 \nL 65.202931 214.26224 \nL 64.763877 211.367946 \nL 64.553826 208.435628 \nL 64.581108 205.475805 \nL 64.853777 202.498549 \nL 65.379528 199.513402 \nL 66.165602 196.52936 \nL 67.218732 193.554823 \nL 68.545027 190.597562 \nL 70.149974 187.664701 \nL 72.038266 184.762699 \nL 74.213814 181.897333 \nL 76.679651 179.073719 \nL 79.437881 176.2963 \nL 82.489603 173.56886 \nL 85.834881 170.894557 \nL 89.472731 168.275946 \nL 93.401029 165.715007 \nL 97.616508 163.213194 \nL 102.11473 160.77148 \nL 107.877825 157.921489 \nL 114.027947 155.159034 \nL 120.550647 152.483718 \nL 127.428971 149.894669 \nL 135.877223 146.981555 \nL 144.748241 144.182129 \nL 154.002926 141.494353 \nL 164.993934 138.557273 \nL 176.358996 135.762701 \nL 188.021606 133.111223 \nL 201.395642 130.303023 \nL 214.91922 127.687745 \nL 228.463142 125.278193 \nL 241.894049 123.092013 \nL 255.076258 121.151585 \nL 267.873729 119.483626 \nL 280.15222 118.118524 \nL 290.525305 117.186063 \nL 300.297892 116.543372 \nL 308.291473 116.238075 \nL 315.711044 116.18965 \nL 321.578191 116.364307 \nL 326.96247 116.748071 \nL 331.063285 117.233554 \nL 334.800082 117.874157 \nL 338.162283 118.673521 \nL 341.140944 119.634616 \nL 343.242764 120.521495 \nL 345.09146 121.51416 \nL 346.68478 122.613082 \nL 348.021191 123.818384 \nL 349.099859 125.129825 \nL 349.920635 126.546779 \nL 350.48409 128.068244 \nL 350.791471 129.692813 \nL 350.844661 131.418679 \nL 350.646237 133.24364 \nL 350.19936 135.165075 \nL 349.507795 137.179972 \nL 348.575863 139.284907 \nL 347.080444 142.036852 \nL 345.227689 144.915211 \nL 343.02932 147.910783 \nL 340.498053 151.013499 \nL 337.040235 154.862802 \nL 333.147389 158.830408 \nL 328.845509 162.894623 \nL 324.161452 167.032493 \nL 319.12266 171.219993 \nL 312.832747 176.134887 \nL 306.141674 181.042804 \nL 299.092821 185.902386 \nL 291.728474 190.672061 \nL 285.196054 194.657474 \nL 278.486504 198.520928 \nL 271.623391 202.237538 \nL 264.629085 205.783323 \nL 257.524765 209.135419 \nL 250.330336 212.272328 \nL 243.064501 215.174097 \nL 235.744777 217.822522 \nL 229.615724 219.824205 \nL 223.469637 221.630296 \nL 217.315038 223.233522 \nL 211.160062 224.62774 \nL 205.01251 225.80795 \nL 198.879919 226.770349 \nL 192.76961 227.512343 \nL 186.688767 228.03257 \nL 180.644493 228.33089 \nL 174.643883 228.408398 \nL 168.69408 228.267411 \nL 162.802341 227.911472 \nL 156.976095 227.345265 \nL 151.222974 226.574607 \nL 145.550905 225.606414 \nL 139.968112 224.448646 \nL 134.483167 223.110216 \nL 129.105024 221.600943 \nL 122.805397 219.579328 \nL 116.689924 217.346855 \nL 110.776342 214.924625 \nL 105.083191 212.334865 \nL 99.629772 209.600639 \nL 94.436041 206.745638 \nL 89.522527 203.793917 \nL 84.910168 200.769643 \nL 80.620168 197.696861 \nL 76.673838 194.599241 \nL 73.092295 191.499837 \nL 69.896395 188.420896 \nL 67.10637 185.383614 \nL 65.105474 182.898805 \nL 63.41068 180.467622 \nL 62.032104 178.10013 \nL 60.979143 175.8056 \nL 60.377065 174.028188 \nL 59.992965 172.306769 \nL 59.830469 170.644865 \nL 59.892802 169.045615 \nL 60.182774 167.511763 \nL 60.702722 166.045659 \nL 61.454517 164.649256 \nL 62.439522 163.32411 \nL 63.658625 162.071383 \nL 65.112197 160.891847 \nL 66.800067 159.785893 \nL 68.721539 158.753542 \nL 71.44995 157.566058 \nL 74.537833 156.491606 \nL 77.980314 155.527974 \nL 81.771221 154.672213 \nL 86.769709 153.782543 \nL 92.244036 153.035557 \nL 99.208571 152.333056 \nL 106.764867 151.79826 \nL 116.079072 151.371709 \nL 127.351206 151.097127 \nL 140.752098 151.004458 \nL 157.861661 151.123061 \nL 180.455143 151.51709 \nL 213.3884 152.332205 \nL 251.142894 153.475408 \nL 276.809479 154.456112 \nL 295.300228 155.382237 \nL 308.637425 156.252305 \nL 319.864159 157.189897 \nL 329.153947 158.172535 \nL 336.705741 159.16551 \nL 343.685349 160.297458 \nL 349.190879 161.388139 \nL 354.239681 162.597711 \nL 358.818617 163.932455 \nL 362.267599 165.144083 \nL 365.377774 166.448465 \nL 368.145348 167.847155 \nL 370.567742 169.34096 \nL 372.643517 170.929884 \nL 374.054364 172.26898 \nL 375.243596 173.667617 \nL 376.21208 175.124609 \nL 376.961116 176.638404 \nL 377.492469 178.207081 \nL 377.808286 179.828341 \nL 377.911144 181.499519 \nL 377.804005 183.217586 \nL 377.490175 184.979146 \nL 376.973293 186.780458 \nL 376.047724 189.081729 \nL 374.819456 191.429987 \nL 373.297474 193.815762 \nL 371.491313 196.228878 \nL 369.410918 198.6585 \nL 367.066638 201.093219 \nL 363.920123 204.004779 \nL 360.427592 206.885053 \nL 356.607934 209.71192 \nL 352.480029 212.462774 \nL 348.062637 215.114764 \nL 343.37413 217.645009 \nL 338.432499 220.030843 \nL 333.2551 222.25005 \nL 327.858654 224.28112 \nL 323.205843 225.815056 \nL 318.420883 227.192697 \nL 313.51221 228.40336 \nL 308.48792 229.437074 \nL 303.355745 230.284701 \nL 298.123042 230.937946 \nL 292.796862 231.38944 \nL 287.383958 231.632831 \nL 281.890832 231.662823 \nL 276.323794 231.475175 \nL 270.68899 231.066789 \nL 264.992478 230.435724 \nL 259.240266 229.581208 \nL 253.438397 228.503638 \nL 247.593004 227.204601 \nL 241.710368 225.686836 \nL 235.797002 223.954281 \nL 229.859699 222.011989 \nL 222.713427 219.413114 \nL 215.556139 216.53377 \nL 208.401968 213.388705 \nL 201.266164 209.994605 \nL 194.165198 206.369964 \nL 187.116852 202.534891 \nL 180.140268 198.510963 \nL 172.119099 193.608212 \nL 164.258634 188.517574 \nL 156.596398 183.278581 \nL 149.172255 177.931811 \nL 142.028175 172.518419 \nL 135.207865 167.079644 \nL 128.756366 161.656374 \nL 122.719556 156.288673 \nL 117.143544 151.015353 \nL 112.765537 146.598693 \nL 108.787887 142.3009 \nL 105.237833 138.142906 \nL 102.14141 134.144211 \nL 99.925251 130.946644 \nL 98.05422 127.88169 \nL 96.540356 124.957997 \nL 95.394515 122.183332 \nL 94.74931 120.075542 \nL 94.350021 118.07063 \nL 94.200284 116.1713 \nL 94.303079 114.379874 \nL 94.660711 112.698293 \nL 95.274818 111.128126 \nL 96.146289 109.670557 \nL 97.275334 108.326407 \nL 98.661362 107.096146 \nL 100.303093 105.979888 \nL 102.198467 104.977424 \nL 104.344693 104.088221 \nL 106.73823 103.311445 \nL 110.071363 102.496861 \nL 113.774293 101.853452 \nL 117.835406 101.377906 \nL 122.241477 101.0664 \nL 127.963168 100.903111 \nL 134.131899 100.961884 \nL 140.716609 101.234146 \nL 148.879614 101.80968 \nL 157.506011 102.649134 \nL 166.535418 103.738064 \nL 177.267288 105.270004 \nL 188.346085 107.089554 \nL 199.672848 109.178512 \nL 211.148137 111.520706 \nL 222.673352 114.102278 \nL 234.152005 116.911767 \nL 245.490898 119.940084 \nL 255.227824 122.763923 \nL 264.733455 125.746631 \nL 273.955192 128.88575 \nL 281.596574 131.699541 \nL 288.965418 134.626048 \nL 296.036052 137.664451 \nL 302.785345 140.813856 \nL 309.192804 144.073129 \nL 314.258307 146.872032 \nL 319.065169 149.745011 \nL 323.605851 152.690571 \nL 327.87415 155.706833 \nL 331.865129 158.79148 \nL 335.575163 161.941705 \nL 339.001874 165.154168 \nL 342.144098 168.424955 \nL 345.001835 171.749543 \nL 347.576218 175.122773 \nL 349.869454 178.538834 \nL 351.884726 181.991242 \nL 353.626177 185.472839 \nL 355.098785 188.975799 \nL 356.308333 192.491635 \nL 357.261321 196.01122 \nL 357.96481 199.524804 \nL 358.426431 203.022059 \nL 358.654283 206.492124 \nL 358.656788 209.923634 \nL 358.442657 213.304797 \nL 358.0208 216.623448 \nL 357.400224 219.86711 \nL 356.589955 223.023091 \nL 355.59902 226.078544 \nL 354.436277 229.020528 \nL 353.110425 231.836152 \nL 351.629899 234.512606 \nL 350.00285 237.037264 \nL 348.237077 239.397808 \nL 346.339959 241.582259 \nL 344.318483 243.579111 \nL 342.179148 245.377407 \nL 339.927971 246.966795 \nL 337.570468 248.337645 \nL 335.111639 249.481101 \nL 332.555976 250.389177 \nL 329.907465 251.054742 \nL 327.169583 251.471669 \nL 324.34531 251.634805 \nL 321.437174 251.540088 \nL 318.447298 251.184498 \nL 315.377364 250.566134 \nL 312.228702 249.684198 \nL 309.00234 248.539032 \nL 305.69901 247.132046 \nL 302.319252 245.465781 \nL 298.863437 243.543864 \nL 294.616416 240.906733 \nL 290.260648 237.918179 \nL 285.796584 234.590189 \nL 280.452593 230.297061 \nL 274.964012 225.585727 \nL 268.518146 219.724998 \nL 261.894147 213.399841 \nL 254.241764 205.790046 \nL 245.514179 196.808367 \nL 234.78121 185.444281 \nL 221.098238 170.613522 \nL 204.60377 152.388069 \nL 189.403947 135.274454 \nL 177.552818 121.608372 \nL 168.90097 111.318311 \nL 161.698316 102.407138 \nL 156.481294 95.634344 \nL 151.819276 89.215397 \nL 148.244028 83.913283 \nL 145.584899 79.616868 \nL 143.323711 75.560432 \nL 141.48076 71.752982 \nL 140.277438 68.775992 \nL 139.385948 65.981229 \nL 138.813794 63.372015 \nL 138.590086 61.420105 \nL 138.576989 59.589858 \nL 138.77618 57.882211 \nL 139.188655 56.297879 \nL 139.814707 54.837375 \nL 140.653912 53.501008 \nL 141.705123 52.288892 \nL 142.966481 51.20098 \nL 144.43539 50.237037 \nL 146.108536 49.396674 \nL 147.981892 48.679368 \nL 150.597884 47.954773 \nL 153.508589 47.419861 \nL 156.701698 47.072846 \nL 160.163406 46.911737 \nL 163.878461 46.934366 \nL 168.647539 47.200875 \nL 173.72662 47.724639 \nL 179.082587 48.50154 \nL 184.680448 49.527476 \nL 190.483693 50.798446 \nL 196.45463 52.310633 \nL 202.554774 54.060442 \nL 208.745208 56.044502 \nL 214.98696 58.259725 \nL 221.241363 60.703264 \nL 227.470414 63.372521 \nL 233.637107 66.265072 \nL 239.705765 69.378642 \nL 245.642332 72.710998 \nL 250.465299 75.653464 \nL 255.156673 78.744894 \nL 259.700098 81.983779 \nL 264.080407 85.368449 \nL 268.283699 88.896996 \nL 272.297394 92.56724 \nL 276.110276 96.376653 \nL 279.71252 100.322318 \nL 283.095724 104.400869 \nL 286.252873 108.60844 \nL 289.178387 112.940596 \nL 291.868085 117.392294 \nL 294.319139 121.957842 \nL 296.53006 126.630868 \nL 298.500631 131.404245 \nL 300.231876 136.270097 \nL 301.725963 141.21976 \nL 302.986142 146.243769 \nL 304.016678 151.331851 \nL 304.822756 156.472921 \nL 305.410385 161.655089 \nL 305.786304 166.86568 \nL 305.957922 172.091252 \nL 305.933166 177.317639 \nL 305.656068 183.569425 \nL 305.123452 189.774109 \nL 304.350945 195.903683 \nL 303.354461 201.929153 \nL 302.149992 207.820776 \nL 300.753383 213.548246 \nL 299.180173 219.080979 \nL 297.445397 224.388355 \nL 295.563495 229.440004 \nL 293.548154 234.206126 \nL 291.412219 238.657715 \nL 289.167605 242.766939 \nL 287.221986 245.910675 \nL 285.214309 248.783926 \nL 283.149849 251.373242 \nL 281.033394 253.666272 \nL 278.869251 255.651777 \nL 276.661237 257.319777 \nL 274.865503 258.419702 \nL 273.045357 259.307058 \nL 271.202142 259.978641 \nL 269.33703 260.431861 \nL 267.451048 260.664743 \nL 265.545083 260.675958 \nL 263.619901 260.464792 \nL 261.676147 260.031196 \nL 259.714384 259.375758 \nL 257.73508 258.4997 \nL 255.738639 257.404864 \nL 253.219523 255.732506 \nL 250.674811 253.72839 \nL 248.10509 251.400097 \nL 245.510984 248.756548 \nL 242.893184 245.807965 \nL 239.721702 241.883177 \nL 236.519037 237.557434 \nL 232.746209 232.035912 \nL 228.938624 226.042094 \nL 224.552261 218.669742 \nL 220.139761 210.80593 \nL 215.162524 201.459974 \nL 209.646117 190.576267 \nL 204.18597 179.303355 \nL 198.306353 166.618766 \nL 193.141287 154.973118 \nL 188.217303 143.348393 \nL 184.05247 133.000351 \nL 180.198893 122.841324 \nL 177.081664 114.026974 \nL 174.29698 105.462471 \nL 172.164593 98.204983 \nL 170.343057 91.193201 \nL 169.047473 85.394723 \nL 168.012017 79.804027 \nL 167.249356 74.431462 \nL 166.770647 69.286025 \nL 166.595467 65.177292 \nL 166.628462 61.235503 \nL 166.873062 57.463964 \nL 167.331624 53.865422 \nL 168.0054 50.442159 \nL 168.894496 47.195978 \nL 169.997798 44.128288 \nL 171.312979 41.240112 \nL 172.836496 38.53213 \nL 174.563547 36.004724 \nL 176.488111 33.658002 \nL 178.602946 31.491855 \nL 180.899612 29.505969 \nL 183.368544 27.699904 \nL 185.999062 26.073086 \nL 188.779452 24.624884 \nL 191.697017 23.354619 \nL 194.738185 22.261585 \nL 197.888557 21.345116 \nL 201.133024 20.604575 \nL 204.455862 20.03938 \nL 208.523824 19.591946 \nL 212.652426 19.395681 \nL 216.812309 19.450178 \nL 220.973845 19.755272 \nL 225.107432 20.311078 \nL 229.183785 21.117938 \nL 232.516305 21.982482 \nL 235.773001 23.022198 \nL 238.938264 24.237576 \nL 241.997114 25.629171 \nL 244.935307 27.197582 \nL 247.739422 28.943381 \nL 250.396939 30.867108 \nL 252.896313 32.969244 \nL 255.227047 35.250171 \nL 257.379739 37.710113 \nL 259.346132 40.349137 \nL 261.11914 43.167077 \nL 262.692884 46.163509 \nL 264.062707 49.337694 \nL 265.22516 52.688562 \nL 266.178015 56.214651 \nL 266.920228 59.914078 \nL 267.451936 63.784484 \nL 267.774374 67.823015 \nL 267.889891 72.026291 \nL 267.801831 76.39036 \nL 267.514527 80.910651 \nL 266.914166 86.533846 \nL 266.044995 92.364234 \nL 264.919089 98.390157 \nL 263.549778 104.598466 \nL 261.66388 112.052381 \nL 259.490637 119.708613 \nL 256.687684 128.669265 \nL 253.581454 137.80892 \nL 250.210991 147.075256 \nL 246.151194 157.580309 \nL 241.858238 168.086185 \nL 237.381558 178.499474 \nL 232.766505 188.721764 \nL 228.053702 198.650904 \nL 223.278669 208.182513 \nL 219.006534 216.236525 \nL 214.727025 223.820765 \nL 210.988058 230.015908 \nL 207.262843 235.751709 \nL 204.085772 240.269849 \nL 200.927035 244.393624 \nL 197.789399 248.09975 \nL 195.192483 250.853853 \nL 192.61293 253.29232 \nL 190.051729 255.405489 \nL 187.509781 257.185082 \nL 185.490672 258.363934 \nL 183.484903 259.32205 \nL 181.492949 260.057236 \nL 179.515331 260.567926 \nL 177.55263 260.853205 \nL 175.605497 260.912807 \nL 173.67467 260.747124 \nL 171.760997 260.3572 \nL 169.865438 259.744713 \nL 167.989074 258.912029 \nL 166.133148 257.862086 \nL 164.299044 256.598445 \nL 162.488316 255.12529 \nL 160.26042 252.996482 \nL 158.075523 250.558181 \nL 155.937869 247.822067 \nL 153.852179 244.80098 \nL 151.823636 241.508793 \nL 149.472861 237.22126 \nL 147.223359 232.591884 \nL 145.086826 227.649246 \nL 143.075925 222.422998 \nL 141.204144 216.943608 \nL 139.485725 211.242058 \nL 137.935563 205.349531 \nL 136.569064 199.297136 \nL 135.401966 193.115644 \nL 134.450199 186.835241 \nL 133.729665 180.485304 \nL 133.256031 174.094188 \nL 133.060947 168.756441 \nL 133.056376 163.423998 \nL 133.250355 158.111165 \nL 133.650405 152.83151 \nL 134.263434 147.597821 \nL 135.095652 142.422083 \nL 136.152466 137.315466 \nL 137.438383 132.28832 \nL 138.956935 127.350164 \nL 140.7106 122.509716 \nL 142.700725 117.774883 \nL 144.927454 113.152812 \nL 147.389676 108.649909 \nL 150.084976 104.271856 \nL 153.009581 100.023687 \nL 156.158364 95.909802 \nL 159.524787 91.934037 \nL 163.100917 88.099708 \nL 166.877412 84.409678 \nL 170.843572 80.866372 \nL 174.987333 77.471881 \nL 179.295323 74.227999 \nL 183.752913 71.136286 \nL 188.34428 68.198096 \nL 193.052479 65.414664 \nL 198.831165 62.280416 \nL 204.719342 59.372541 \nL 210.682517 56.692924 \nL 216.684814 54.243574 \nL 222.689287 52.026625 \nL 228.658249 50.044416 \nL 234.553625 48.299547 \nL 240.337302 46.794856 \nL 245.971501 45.533415 \nL 251.419138 44.518536 \nL 256.644196 43.753705 \nL 261.612065 43.242543 \nL 266.289901 42.988726 \nL 270.646947 42.995931 \nL 274.012229 43.203901 \nL 277.119989 43.59756 \nL 279.956592 44.178735 \nL 282.509897 44.949069 \nL 284.341395 45.702485 \nL 285.980093 46.578493 \nL 287.421985 47.577592 \nL 288.663771 48.700121 \nL 289.702838 49.946312 \nL 290.537281 51.316233 \nL 291.165912 52.809767 \nL 291.588239 54.426641 \nL 291.804468 56.166388 \nL 291.815498 58.028337 \nL 291.622893 60.011658 \nL 291.228879 62.115247 \nL 290.457529 64.911911 \nL 289.382883 67.891508 \nL 288.013239 71.05051 \nL 285.993893 75.072339 \nL 283.582481 79.338479 \nL 280.800046 83.839635 \nL 277.115597 89.374028 \nL 272.374858 96.04935 \nL 266.439813 103.968293 \nL 259.205305 113.216835 \nL 249.807788 124.835853 \nL 237.272328 139.946184 \nL 220.705288 159.553434 \nL 203.123045 180.029905 \nL 190.201828 194.757981 \nL 180.168239 205.86709 \nL 172.063611 214.517672 \nL 164.990975 221.737942 \nL 158.890184 227.64556 \nL 153.69972 232.381972 \nL 148.649062 236.684348 \nL 144.431849 240.007041 \nL 140.318128 242.97759 \nL 136.307869 245.583625 \nL 133.045013 247.46939 \nL 129.85406 249.090032 \nL 126.735217 250.441848 \nL 123.688865 251.52224 \nL 120.715658 252.329755 \nL 117.816517 252.864112 \nL 114.99272 253.12618 \nL 112.245938 253.118004 \nL 109.578274 252.842753 \nL 106.992253 252.304719 \nL 104.490911 251.509307 \nL 102.077788 250.46295 \nL 99.756931 249.173069 \nL 97.53293 247.648057 \nL 95.410867 245.897161 \nL 93.396388 243.930467 \nL 91.495634 241.758742 \nL 89.715253 239.393417 \nL 88.062328 236.846495 \nL 86.544426 234.130436 \nL 85.169497 231.25809 \nL 83.945849 228.242582 \nL 82.882064 225.097223 \nL 81.987011 221.835456 \nL 81.269696 218.470725 \nL 80.739284 215.016378 \nL 80.404927 211.485632 \nL 80.27576 207.891435 \nL 80.360807 204.24644 \nL 80.668865 200.56291 \nL 81.208442 196.852667 \nL 81.987667 193.127004 \nL 83.01417 189.396695 \nL 84.295056 185.671896 \nL 85.836773 181.962142 \nL 87.644995 178.276315 \nL 89.724619 174.622622 \nL 92.079638 171.008593 \nL 94.713023 167.441073 \nL 97.62674 163.92623 \nL 100.821667 160.469577 \nL 104.297476 157.075978 \nL 108.052624 153.749693 \nL 112.084309 150.494404 \nL 116.38842 147.313258 \nL 120.959534 144.208914 \nL 125.790876 141.183598 \nL 130.874311 138.239148 \nL 136.200338 135.377088 \nL 142.896432 132.053118 \nL 149.904891 128.851387 \nL 157.201737 125.77344 \nL 164.760375 122.820705 \nL 172.551721 119.994664 \nL 181.893665 116.859963 \nL 191.455797 113.903145 \nL 201.18084 111.128205 \nL 211.008367 108.540134 \nL 222.284372 105.819132 \nL 233.514597 103.361501 \nL 244.599589 101.180632 \nL 255.439 99.292007 \nL 265.933009 97.712988 \nL 274.754902 96.600125 \nL 283.17388 95.752084 \nL 291.129223 95.18251 \nL 297.535566 94.926298 \nL 303.525539 94.89311 \nL 309.068076 95.090973 \nL 313.324652 95.437768 \nL 317.236197 95.954156 \nL 320.789612 96.643649 \nL 323.973504 97.509272 \nL 326.247988 98.33026 \nL 328.275606 99.266527 \nL 330.052974 100.318774 \nL 331.577461 101.487403 \nL 332.847185 102.772511 \nL 333.861047 104.173872 \nL 334.618666 105.69092 \nL 335.120444 107.322747 \nL 335.36748 109.068086 \nL 335.361624 110.925307 \nL 335.105413 112.892404 \nL 334.60206 114.967021 \nL 333.855402 117.146412 \nL 332.869922 119.427464 \nL 331.309951 122.416415 \nL 329.395783 125.551177 \nL 327.139669 128.823308 \nL 324.554928 132.223539 \nL 321.039586 136.458688 \nL 317.097769 140.844963 \nL 312.756948 145.36213 \nL 307.226398 150.7688 \nL 301.237784 156.288142 \nL 294.837809 161.882271 \nL 288.073014 167.51193 \nL 280.989136 173.1369 \nL 273.630608 178.716419 \nL 266.04009 184.20963 \nL 258.25813 189.576015 \nL 250.322866 194.775845 \nL 242.269854 199.770619 \nL 234.131966 204.523509 \nL 227.112019 208.378508 \nL 220.069376 212.009815 \nL 213.020124 215.398553 \nL 205.97907 218.527513 \nL 198.959843 221.38136 \nL 191.975021 223.946723 \nL 186.189066 225.855973 \nL 180.441463 227.551699 \nL 174.738251 229.029635 \nL 169.085246 230.286668 \nL 163.488067 231.320822 \nL 157.952248 232.131268 \nL 152.48328 232.718311 \nL 147.086665 233.083431 \nL 141.768005 233.229233 \nL 136.533035 233.159412 \nL 131.387674 232.878749 \nL 126.338084 232.393079 \nL 121.390703 231.709194 \nL 116.552268 230.834837 \nL 111.829895 229.778643 \nL 107.231013 228.550025 \nL 102.763434 227.159144 \nL 97.58725 225.291147 \nL 92.626846 223.224818 \nL 87.897792 220.980877 \nL 83.416409 218.58079 \nL 79.199534 216.046519 \nL 75.264534 213.400327 \nL 71.629168 210.664503 \nL 68.311373 207.861194 \nL 65.32915 205.0121 \nL 63.113203 202.618136 \nL 61.152928 200.218842 \nL 59.458272 197.825533 \nL 58.038905 195.448981 \nL 56.904057 193.099349 \nL 56.062521 190.786138 \nL 55.606016 188.967702 \nL 55.346422 187.182337 \nL 55.287377 185.433861 \nL 55.432178 183.725751 \nL 55.783827 182.061132 \nL 56.344968 180.442783 \nL 57.117839 178.873125 \nL 58.104303 177.354221 \nL 59.305818 175.887773 \nL 60.723429 174.475134 \nL 62.357709 173.117296 \nL 64.705455 171.498025 \nL 67.391237 169.965915 \nL 70.413215 168.52072 \nL 73.768386 167.161445 \nL 77.452629 165.886403 \nL 82.300618 164.46421 \nL 87.603613 163.154796 \nL 93.34803 161.951988 \nL 100.586692 160.674022 \nL 108.37603 159.519234 \nL 117.910687 158.3334 \nL 129.378718 157.145864 \nL 142.941482 155.974923 \nL 160.181154 154.726653 \nL 182.859885 153.33137 \nL 214.221075 151.650456 \nL 248.799256 150.014451 \nL 274.513679 149.009478 \nL 293.044453 148.505963 \nL 306.396627 148.343183 \nL 317.612908 148.40914 \nL 326.865795 148.668274 \nL 334.358015 149.071144 \nL 341.247629 149.655773 \nL 346.648408 150.313177 \nL 351.564174 151.124019 \nL 355.979346 152.095823 \nL 359.266857 153.033146 \nL 362.191663 154.089417 \nL 364.749027 155.266686 \nL 366.528087 156.296473 \nL 368.068736 157.404724 \nL 369.370434 158.591295 \nL 370.433204 159.855654 \nL 371.257606 161.196882 \nL 371.844728 162.613659 \nL 372.196197 164.104262 \nL 372.314108 165.666566 \nL 372.201091 167.298038 \nL 371.860223 168.995744 \nL 371.295014 170.756357 \nL 370.509384 172.576157 \nL 369.224048 174.927863 \nL 367.610369 177.356817 \nL 365.67837 179.853359 \nL 363.438809 182.40704 \nL 360.361338 185.53107 \nL 356.877834 188.700613 \nL 353.009606 191.893858 \nL 348.778514 195.087982 \nL 344.206692 198.259366 \nL 339.31639 201.383831 \nL 334.129699 204.436894 \nL 328.668437 207.393961 \nL 322.953902 210.230633 \nL 317.006823 212.922925 \nL 310.84722 215.447538 \nL 304.494293 217.782074 \nL 297.966402 219.905312 \nL 292.405495 221.498905 \nL 286.744916 222.92131 \nL 280.993935 224.162733 \nL 275.161432 225.214324 \nL 269.255946 226.068209 \nL 263.285692 226.717587 \nL 257.258615 227.156753 \nL 251.182442 227.381184 \nL 245.064731 227.387534 \nL 238.912931 227.173662 \nL 232.734449 226.738688 \nL 226.536706 226.08296 \nL 220.327206 225.208089 \nL 214.113602 224.116918 \nL 207.903757 222.813502 \nL 201.705809 221.303096 \nL 195.528221 219.592104 \nL 189.379855 217.688051 \nL 182.053495 215.160479 \nL 174.799569 212.384 \nL 167.636119 209.377195 \nL 160.582309 206.160388 \nL 153.65848 202.755413 \nL 146.886127 199.185397 \nL 140.287892 195.474548 \nL 133.8875 191.647902 \nL 126.703443 187.071363 \nL 119.863013 182.413424 \nL 113.40811 177.715513 \nL 107.381416 173.01867 \nL 102.589079 169.024117 \nL 98.169858 165.084348 \nL 94.150234 161.222891 \nL 90.555965 157.462101 \nL 87.411764 153.822986 \nL 85.15231 150.897444 \nL 83.234305 148.080354 \nL 81.669461 145.381254 \nL 80.468465 142.808778 \nL 79.776085 140.847167 \nL 79.326989 138.975031 \nL 79.124929 137.195456 \nL 79.173098 135.511127 \nL 79.474073 133.924309 \nL 80.029791 132.436866 \nL 80.841593 131.050247 \nL 81.910113 129.7655 \nL 83.23532 128.583284 \nL 84.816527 127.503861 \nL 86.652337 126.527126 \nL 88.740702 125.652612 \nL 91.078851 124.879503 \nL 94.347484 124.053956 \nL 97.992818 123.382159 \nL 102.005117 122.860532 \nL 107.288219 122.426853 \nL 113.061122 122.195088 \nL 119.298691 122.156052 \nL 127.125945 122.340843 \nL 135.499566 122.757865 \nL 145.671511 123.496885 \nL 156.406076 124.4913 \nL 169.046083 125.884308 \nL 183.638694 127.733806 \nL 198.632753 129.861578 \nL 213.845485 132.233356 \nL 229.096046 134.822415 \nL 244.208505 137.610001 \nL 257.552311 140.279429 \nL 270.531901 143.097917 \nL 281.676009 145.729352 \nL 292.376834 148.4827 \nL 301.326029 150.995525 \nL 309.848093 153.608944 \nL 317.908377 156.326824 \nL 324.426394 158.742376 \nL 330.565978 161.239392 \nL 336.312805 163.819413 \nL 341.654951 166.48336 \nL 345.790636 168.767556 \nL 349.634341 171.109755 \nL 353.182894 173.509066 \nL 356.434298 175.964061 \nL 359.387569 178.472725 \nL 362.042803 181.032427 \nL 364.401088 183.639894 \nL 366.464486 186.291187 \nL 368.235967 188.981681 \nL 369.719378 191.706064 \nL 370.91936 194.458333 \nL 371.841261 197.231807 \nL 372.491127 200.019144 \nL 372.875597 202.812355 \nL 373.001794 205.602834 \nL 372.877341 208.381413 \nL 372.510196 211.138376 \nL 371.908603 213.863546 \nL 371.081073 216.546309 \nL 370.036188 219.175687 \nL 368.782668 221.740419 \nL 367.329192 224.229001 \nL 365.684374 226.629793 \nL 363.856723 228.931083 \nL 361.854526 231.121162 \nL 359.685892 233.188425 \nL 357.358566 235.121416 \nL 354.880024 236.908961 \nL 352.257346 238.540212 \nL 349.497224 240.004717 \nL 346.605948 241.292564 \nL 343.589382 242.394365 \nL 340.45294 243.301411 \nL 337.2016 244.005668 \nL 333.839907 244.499904 \nL 330.371994 244.777679 \nL 326.801581 244.833446 \nL 323.13201 244.662574 \nL 319.366261 244.261369 \nL 315.507028 243.627133 \nL 311.556702 242.758173 \nL 307.51748 241.653807 \nL 303.391372 240.314368 \nL 299.180257 238.741201 \nL 294.017302 236.548299 \nL 288.737763 234.028281 \nL 283.344974 231.189115 \nL 277.84261 228.04073 \nL 272.23484 224.594864 \nL 265.565694 220.216789 \nL 258.768785 215.476414 \nL 251.855095 210.400616 \nL 243.827772 204.226662 \nL 235.688935 197.699986 \nL 226.435065 189.998216 \nL 216.088864 181.082293 \nL 205.751602 171.891725 \nL 194.501227 161.593995 \nL 183.513852 151.23912 \nL 172.946862 140.969176 \nL 163.849076 131.822245 \nL 156.190729 123.828375 \nL 149.889174 116.969012 \nL 144.137358 110.387511 \nL 139.609798 104.888755 \nL 135.600358 99.658978 \nL 132.607824 95.407638 \nL 130.051067 91.383448 \nL 128.269429 88.211799 \nL 126.817443 85.211781 \nL 125.705363 82.388628 \nL 124.942004 79.746848 \nL 124.587332 77.766615 \nL 124.463491 75.906575 \nL 124.572787 74.16809 \nL 124.916784 72.552262 \nL 125.496295 71.059924 \nL 126.311447 69.691638 \nL 127.361533 68.447737 \nL 128.64513 67.32828 \nL 130.16003 66.333133 \nL 131.903262 65.461931 \nL 133.871095 64.714102 \nL 136.059052 64.088889 \nL 139.095547 63.478369 \nL 142.456073 63.05583 \nL 146.127213 62.81879 \nL 150.093982 62.7645 \nL 155.221056 62.936351 \nL 160.719008 63.361605 \nL 166.554249 64.034574 \nL 172.690963 64.949474 \nL 180.181129 66.31497 \nL 187.967917 67.99299 \nL 195.986993 69.974983 \nL 204.172863 72.252963 \nL 212.459712 74.819542 \nL 219.593542 77.244055 \nL 226.713096 79.871806 \nL 233.778957 82.699309 \nL 240.753052 85.723292 \nL 247.59896 88.94071 \nL 254.282182 92.348632 \nL 260.770392 95.944144 \nL 266.006599 99.081522 \nL 271.07059 102.345194 \nL 275.947706 105.733115 \nL 280.624655 109.243017 \nL 285.089549 112.872332 \nL 289.331919 116.618166 \nL 293.342744 120.4772 \nL 297.11446 124.445674 \nL 300.640932 128.51931 \nL 303.917477 132.693262 \nL 306.940791 136.962074 \nL 309.708947 141.319645 \nL 312.221346 145.759187 \nL 314.478601 150.273193 \nL 316.482563 154.85342 \nL 318.236169 159.490874 \nL 319.743448 164.175802 \nL 321.009356 168.897692 \nL 322.039696 173.645287 \nL 322.841097 178.4066 \nL 323.420841 183.168943 \nL 323.78677 187.918966 \nL 323.94729 192.6427 \nL 323.911129 197.325615 \nL 323.687315 201.952679 \nL 323.184089 207.409638 \nL 322.440127 212.736526 \nL 321.471612 217.905472 \nL 320.294557 222.888321 \nL 318.924606 227.6569 \nL 317.376844 232.183266 \nL 315.665708 236.439994 \nL 313.804835 240.400443 \nL 312.148929 243.455996 \nL 310.40473 246.273902 \nL 308.57858 248.840806 \nL 306.676304 251.144187 \nL 304.703176 253.172526 \nL 302.663962 254.915295 \nL 300.562861 256.363106 \nL 298.839924 257.303465 \nL 297.081402 258.046206 \nL 295.288749 258.588266 \nL 293.463212 258.92712 \nL 291.605854 259.060844 \nL 289.717583 258.988068 \nL 287.799098 258.70801 \nL 285.850983 258.220473 \nL 283.873664 257.525846 \nL 281.867446 256.6251 \nL 279.319335 255.211747 \nL 276.726566 253.48309 \nL 274.089143 251.444724 \nL 271.406966 249.103605 \nL 268.129015 245.906168 \nL 264.786063 242.300885 \nL 261.377906 238.306268 \nL 257.319462 233.18141 \nL 253.173299 227.590482 \nL 248.329982 220.67973 \nL 242.753927 212.314116 \nL 236.414258 202.39248 \nL 228.640177 189.792643 \nL 218.756483 173.304268 \nL 207.530733 154.133746 \nL 196.590051 135.013919 \nL 188.074441 119.681369 \nL 181.872993 108.079169 \nL 176.727975 97.972616 \nL 173.018121 90.239859 \nL 169.72265 82.85533 \nL 167.21606 76.701647 \nL 165.092221 70.852402 \nL 163.596956 66.091834 \nL 162.417982 61.572972 \nL 161.686805 57.996643 \nL 161.191194 54.595968 \nL 160.936669 51.373653 \nL 160.927563 48.331963 \nL 161.166973 45.472725 \nL 161.656701 42.79735 \nL 162.229072 40.79013 \nL 162.961576 38.9016 \nL 163.853246 37.131985 \nL 164.902534 35.481376 \nL 166.107325 33.949764 \nL 167.464914 32.537025 \nL 168.972034 31.242961 \nL 170.624853 30.067263 \nL 172.889053 28.763519 \nL 175.364282 27.643331 \nL 178.039552 26.705753 \nL 180.90268 25.949763 \nL 183.94037 25.374308 \nL 187.138291 24.978316 \nL 190.481177 24.760742 \nL 194.661279 24.73373 \nL 198.99773 24.960568 \nL 203.46014 25.439821 \nL 208.017203 26.170226 \nL 212.637002 27.150805 \nL 217.287333 28.380817 \nL 221.936014 29.85975 \nL 226.551202 31.587294 \nL 231.101698 33.56336 \nL 234.822493 35.399958 \nL 238.460451 37.40922 \nL 241.999389 39.591222 \nL 245.423922 41.946004 \nL 248.719541 44.473577 \nL 251.872713 47.173805 \nL 254.870947 50.046425 \nL 257.702849 53.091012 \nL 260.35818 56.306869 \nL 262.827907 59.693034 \nL 265.104237 63.248186 \nL 267.180604 66.970656 \nL 269.051719 70.858321 \nL 270.713545 74.908598 \nL 272.163295 79.118348 \nL 273.39939 83.483888 \nL 274.42146 88.000899 \nL 275.230265 92.664414 \nL 275.827661 97.468779 \nL 276.216544 102.407615 \nL 276.400777 107.473788 \nL 276.385112 112.659377 \nL 276.175124 117.955671 \nL 275.675529 124.443896 \nL 274.917313 131.059774 \nL 273.913704 137.783598 \nL 272.67882 144.593977 \nL 271.227457 151.467877 \nL 269.280982 159.534786 \nL 267.085261 167.612941 \nL 264.664966 175.658158 \nL 262.044407 183.62402 \nL 259.247189 191.462241 \nL 256.29591 199.123072 \nL 253.211894 206.55579 \nL 250.015003 213.70921 \nL 246.723499 220.532293 \nL 243.353931 226.974708 \nL 240.414874 232.156653 \nL 237.437684 236.993268 \nL 234.429764 241.456288 \nL 231.397645 245.519158 \nL 228.856546 248.58141 \nL 226.305546 251.335646 \nL 223.747238 253.770046 \nL 221.183931 255.874074 \nL 218.617688 257.638584 \nL 216.563837 258.800527 \nL 214.510183 259.737001 \nL 212.457557 260.445417 \nL 210.406758 260.923848 \nL 208.358569 261.171041 \nL 206.31377 261.186415 \nL 204.273162 260.970061 \nL 202.237572 260.522734 \nL 200.207877 259.845913 \nL 198.185017 258.941714 \nL 196.170009 257.812918 \nL 194.163964 256.462928 \nL 192.168099 254.895804 \nL 189.689628 252.638668 \nL 187.232062 250.059844 \nL 184.79866 247.170979 \nL 182.393062 243.984931 \nL 180.019323 240.51568 \nL 177.219244 235.999906 \nL 174.48013 231.125503 \nL 171.811538 225.921569 \nL 169.22398 220.418463 \nL 166.728858 214.647457 \nL 163.951216 207.618604 \nL 161.337201 200.319718 \nL 158.909131 192.801946 \nL 156.690467 185.115842 \nL 154.97382 178.431273 \nL 153.444449 171.689564 \nL 152.118043 164.919845 \nL 151.010164 158.150008 \nL 150.136088 151.406561 \nL 149.510549 144.714509 \nL 149.147542 138.09725 \nL 149.054995 132.655735 \nL 149.160712 127.292957 \nL 149.470905 122.01975 \nL 149.991033 116.846104 \nL 150.725694 111.78119 \nL 151.678565 106.833342 \nL 152.852301 102.010108 \nL 154.248498 97.318245 \nL 155.867593 92.763779 \nL 157.708837 88.352006 \nL 159.770232 84.087559 \nL 162.048506 79.974434 \nL 164.539093 76.016068 \nL 167.236101 72.215334 \nL 170.13233 68.57463 \nL 173.219243 65.095923 \nL 176.48703 61.780809 \nL 179.924614 58.630556 \nL 183.5197 55.646144 \nL 187.258821 52.828354 \nL 191.127416 50.177775 \nL 195.1099 47.694888 \nL 199.189745 45.380067 \nL 204.189558 42.824636 \nL 209.273108 40.512339 \nL 214.407724 38.443839 \nL 219.55978 36.619917 \nL 224.694995 35.04157 \nL 229.778771 33.710026 \nL 234.776515 32.626695 \nL 239.653984 31.793263 \nL 244.377621 31.211632 \nL 248.914886 30.883901 \nL 253.23458 30.812328 \nL 257.307151 30.999271 \nL 260.4922 31.354288 \nL 263.471606 31.891882 \nL 266.231723 32.613388 \nL 268.760146 33.520069 \nL 271.045798 34.613071 \nL 272.692984 35.622288 \nL 274.174297 36.751807 \nL 275.486064 38.001966 \nL 276.625235 39.373008 \nL 277.58939 40.865056 \nL 278.376717 42.478119 \nL 278.986062 44.212072 \nL 279.416883 46.066634 \nL 279.669278 48.041388 \nL 279.743935 50.135779 \nL 279.589341 52.920829 \nL 279.162907 55.889742 \nL 278.469787 59.04022 \nL 277.516424 62.369471 \nL 276.039715 66.595891 \nL 274.214638 71.068366 \nL 272.058571 75.779152 \nL 269.150466 81.564411 \nL 265.850979 87.64594 \nL 261.646106 94.935637 \nL 256.428059 103.53241 \nL 249.46252 114.538858 \nL 240.585356 128.121824 \nL 227.549402 147.612499 \nL 210.417419 172.81152 \nL 197.171448 191.941008 \nL 187.883607 204.994813 \nL 180.270012 215.313711 \nL 174.228876 223.141827 \nL 169.009035 229.562779 \nL 164.560239 234.720841 \nL 160.222959 239.413373 \nL 156.593961 243.041243 \nL 153.046365 246.286445 \nL 149.579599 249.133381 \nL 146.75196 251.191878 \nL 143.979798 252.957998 \nL 141.262993 254.426487 \nL 138.601607 255.593353 \nL 135.995948 256.455863 \nL 133.95193 256.925744 \nL 131.944407 257.1998 \nL 129.974005 257.278487 \nL 128.041493 257.162768 \nL 126.147842 256.85418 \nL 124.294199 256.35478 \nL 122.481907 255.667142 \nL 120.712529 254.794363 \nL 118.987832 253.740037 \nL 116.89784 252.173054 \nL 114.885137 250.337726 \nL 112.954659 248.244024 \nL 111.111882 245.902881 \nL 109.362779 243.326115 \nL 107.713902 240.526339 \nL 106.17227 237.516849 \nL 104.745367 234.311535 \nL 103.195734 230.226941 \nL 101.837231 225.906618 \nL 100.684974 221.376628 \nL 99.754638 216.663331 \nL 99.062279 211.793096 \nL 98.678813 207.633571 \nL 98.481277 203.398149 \nL 98.479005 199.101447 \nL 98.681139 194.757695 \nL 99.096526 190.380691 \nL 99.733709 185.983713 \nL 100.600719 181.579463 \nL 101.705072 177.180037 \nL 103.053607 172.796865 \nL 104.652424 168.4407 \nL 106.506796 164.121579 \nL 108.621079 159.848817 \nL 110.998602 155.631002 \nL 113.641616 151.475998 \nL 116.551201 147.390956 \nL 119.727228 143.382334 \nL 123.168261 139.455925 \nL 126.87153 135.616887 \nL 130.832918 131.869784 \nL 135.046876 128.218629 \nL 139.506416 124.666941 \nL 144.203126 121.217784 \nL 149.127136 117.873842 \nL 154.267154 114.637456 \nL 159.610469 111.510703 \nL 165.143006 108.495453 \nL 172.009999 105.026737 \nL 179.098102 101.723829 \nL 186.375736 98.589457 \nL 193.809022 95.626416 \nL 201.361988 92.837697 \nL 210.274523 89.808865 \nL 219.235778 87.027555 \nL 228.180854 84.500352 \nL 237.043327 82.234691 \nL 245.755985 80.238885 \nL 254.251608 78.522074 \nL 262.46378 77.094102 \nL 270.327696 75.965398 \nL 277.78098 75.146742 \nL 283.797738 74.70008 \nL 289.434302 74.495978 \nL 294.658221 74.540988 \nL 298.674748 74.773263 \nL 302.368488 75.186123 \nL 305.725462 75.782547 \nL 308.73337 76.565134 \nL 310.881224 77.326702 \nL 312.794314 78.209683 \nL 314.468834 79.21475 \nL 315.901741 80.342318 \nL 317.090751 81.592569 \nL 318.034352 82.96542 \nL 318.731858 84.460506 \nL 319.183291 86.07718 \nL 319.389452 87.814479 \nL 319.351896 89.671153 \nL 319.072895 91.645633 \nL 318.5554 93.73604 \nL 317.803066 95.940172 \nL 316.539007 98.851397 \nL 314.924473 101.930732 \nL 312.970561 105.171784 \nL 310.689618 108.567408 \nL 307.539826 112.835009 \nL 303.9637 117.298789 \nL 299.288623 122.732511 \nL 294.114786 128.382526 \nL 288.488819 134.21825 \nL 281.566618 141.07316 \nL 274.187504 148.076582 \nL 265.4276 156.065816 \nL 256.275893 164.095366 \nL 246.824616 172.083945 \nL 237.159558 179.949572 \nL 228.452427 186.772129 \nL 219.688041 193.377036 \nL 210.910856 199.709946 \nL 203.251324 204.987267 \nL 195.635316 209.98378 \nL 188.083246 214.668866 \nL 180.612988 219.014411 \nL 174.286917 222.449669 \nL 168.041116 225.60272 \nL 161.883342 228.461227 \nL 155.820614 231.014766 \nL 149.85935 233.254917 \nL 144.973476 234.877643 \nL 140.165569 236.275696 \nL 135.438909 237.447551 \nL 130.796784 238.3927 \nL 126.24253 239.111733 \nL 121.779633 239.606218 \nL 117.411752 239.878804 \nL 113.142735 239.933086 \nL 108.976734 239.77367 \nL 104.918169 239.406051 \nL 100.971838 238.836673 \nL 97.142858 238.072772 \nL 93.436767 237.122385 \nL 89.859463 235.994278 \nL 86.417235 234.697864 \nL 83.116807 233.243154 \nL 79.965239 231.640642 \nL 76.969962 229.901244 \nL 74.138787 228.036256 \nL 71.47979 226.057185 \nL 69.001343 223.975781 \nL 66.712049 221.803832 \nL 64.620704 219.553159 \nL 62.736185 217.235503 \nL 61.0675 214.862454 \nL 59.6236 212.44537 \nL 58.413386 209.995298 \nL 57.445642 207.522908 \nL 56.728909 205.038423 \nL 56.271473 202.551581 \nL 56.081231 200.071537 \nL 56.165665 197.606855 \nL 56.435692 195.651496 \nL 56.889269 193.714778 \nL 57.529453 191.80015 \nL 58.359013 189.910752 \nL 59.38039 188.049436 \nL 60.595741 186.218743 \nL 62.006863 184.420906 \nL 64.048179 182.222719 \nL 66.399552 180.081957 \nL 69.062026 178.000998 \nL 72.035592 175.981504 \nL 75.319256 174.024473 \nL 78.910978 172.130262 \nL 82.80766 170.298629 \nL 87.880214 168.18213 \nL 93.376495 166.152295 \nL 99.284951 164.205961 \nL 106.680602 162.035564 \nL 114.592797 159.966429 \nL 122.991972 157.990831 \nL 133.144277 155.837308 \nL 145.20407 153.533697 \nL 157.854838 151.341716 \nL 172.486646 149.022246 \nL 190.64746 146.385527 \nL 210.769536 143.705132 \nL 231.005675 141.225174 \nL 250.980512 138.989274 \nL 268.856958 137.201292 \nL 284.508209 135.856862 \nL 297.932895 134.93418 \nL 309.224599 134.391826 \nL 318.541954 134.171267 \nL 326.081402 134.202139 \nL 333.003762 134.459854 \nL 338.417067 134.873311 \nL 343.327759 135.474021 \nL 347.02273 136.123342 \nL 350.346772 136.91201 \nL 353.292296 137.843171 \nL 355.853222 138.919194 \nL 357.621944 139.885376 \nL 359.139962 140.945661 \nL 360.406304 142.100059 \nL 361.42062 143.348194 \nL 362.183196 144.689289 \nL 362.694952 146.122166 \nL 362.957389 147.645228 \nL 362.97261 149.256468 \nL 362.743279 150.953461 \nL 362.272641 152.733368 \nL 361.564427 154.59294 \nL 360.622887 156.528521 \nL 359.125058 159.04868 \nL 357.280199 161.672496 \nL 355.099387 164.39032 \nL 352.594589 167.191655 \nL 349.179083 170.647539 \nL 345.338422 174.186502 \nL 341.096676 177.786333 \nL 336.47864 181.423685 \nL 331.509495 185.074295 \nL 326.214661 188.713185 \nL 320.619442 192.314923 \nL 314.74886 195.853846 \nL 308.627446 199.304329 \nL 302.279059 202.64101 \nL 295.726789 205.839057 \nL 288.992779 208.874421 \nL 282.098235 211.724075 \nL 275.063319 214.366237 \nL 267.907163 216.780606 \nL 261.86418 218.605088 \nL 255.759587 220.248649 \nL 249.602906 221.702479 \nL 243.403265 222.958827 \nL 237.169442 224.01102 \nL 230.909896 224.853562 \nL 224.632837 225.482137 \nL 218.346277 225.893652 \nL 212.058092 226.086248 \nL 205.776088 226.05931 \nL 199.508062 225.813529 \nL 193.261874 225.35082 \nL 187.045498 224.674348 \nL 180.86709 223.788486 \nL 174.735054 222.698801 \nL 168.658072 221.411991 \nL 162.645162 219.935844 \nL 156.705736 218.279196 \nL 149.68927 216.066791 \nL 142.810571 213.627182 \nL 136.088379 210.980625 \nL 129.542392 208.148806 \nL 123.19326 205.154619 \nL 117.062524 202.021923 \nL 111.172524 198.775314 \nL 105.546314 195.439866 \nL 100.207518 192.040863 \nL 95.180141 188.603572 \nL 90.488389 185.152963 \nL 86.156437 181.713499 \nL 82.208245 178.308881 \nL 78.667218 174.961835 \nL 75.555997 171.693906 \nL 73.307261 169.045658 \nL 71.383834 166.477237 \nL 69.796761 163.998687 \nL 68.556274 161.619191 \nL 67.819669 159.792505 \nL 67.315079 158.038325 \nL 67.0463 156.360055 \nL 67.016651 154.760689 \nL 67.228932 153.242812 \nL 67.685406 151.808594 \nL 68.387774 150.459792 \nL 69.337211 149.197748 \nL 70.534265 148.023398 \nL 71.978904 146.937275 \nL 73.670506 145.939523 \nL 75.607822 145.029901 \nL 78.372141 144.015847 \nL 81.512547 143.136568 \nL 85.022667 142.389308 \nL 88.894689 141.770566 \nL 94.005803 141.191795 \nL 99.606327 140.783692 \nL 106.730673 140.510681 \nL 114.454866 140.440756 \nL 123.963299 140.587038 \nL 135.446377 141.007538 \nL 149.057817 141.747009 \nL 164.888412 142.832116 \nL 184.469107 144.399174 \nL 207.778632 146.486027 \nL 232.874614 148.94502 \nL 256.03077 151.425324 \nL 275.388025 153.717362 \nL 290.999114 155.783946 \nL 304.419588 157.790358 \nL 315.765343 159.723529 \nL 325.20063 161.561464 \nL 332.913799 163.274636 \nL 340.089706 165.096206 \nL 345.79348 166.750763 \nL 351.070123 168.49672 \nL 355.908166 170.3383 \nL 360.298392 172.27874 \nL 363.609729 173.972848 \nL 366.602342 175.737638 \nL 369.274468 177.573003 \nL 371.625375 179.478131 \nL 373.655381 181.451471 \nL 375.049221 183.077733 \nL 376.239668 184.744646 \nL 377.228214 186.450348 \nL 378.016751 188.192644 \nL 378.60753 189.969014 \nL 379.003109 191.776616 \nL 379.206374 193.612283 \nL 379.220496 195.472535 \nL 379.048931 197.353581 \nL 378.578969 199.727897 \nL 377.832364 202.119728 \nL 376.817277 204.519823 \nL 375.542289 206.918345 \nL 374.016301 209.304909 \nL 372.248435 211.668657 \nL 370.247993 213.998308 \nL 368.024394 216.282248 \nL 365.587033 218.508603 \nL 362.945307 220.665311 \nL 360.108488 222.740223 \nL 356.459624 225.105005 \nL 353.225397 226.957234 \nL 349.824446 228.689095 \nL 346.265059 230.288984 \nL 342.555183 231.745611 \nL 338.702441 233.048159 \nL 334.71403 234.186311 \nL 330.596832 235.150378 \nL 326.357305 235.931297 \nL 322.001549 236.520781 \nL 317.535291 236.911344 \nL 312.963965 237.096361 \nL 308.292656 237.070154 \nL 303.526189 236.827975 \nL 298.669173 236.366088 \nL 293.726009 235.681804 \nL 288.700979 234.773504 \nL 283.598295 233.640616 \nL 278.422126 232.283653 \nL 273.176702 230.704235 \nL 267.866362 228.905026 \nL 261.414614 226.461204 \nL 254.884142 223.714767 \nL 248.283867 220.676231 \nL 241.623532 217.358087 \nL 234.913867 213.774736 \nL 228.166716 209.942316 \nL 220.265217 205.180162 \nL 212.353749 200.133991 \nL 204.458198 194.836917 \nL 196.607312 189.324105 \nL 187.730323 182.80687 \nL 179.005071 176.112929 \nL 170.488265 169.300642 \nL 162.241021 162.429023 \nL 154.328282 155.556989 \nL 146.818018 148.742621 \nL 139.780317 142.042456 \nL 134.065819 136.316256 \nL 128.814946 130.753716 \nL 124.074244 125.387453 \nL 120.450959 120.967091 \nL 117.262438 116.730905 \nL 114.533931 112.695084 \nL 112.628421 109.495552 \nL 111.070775 106.452957 \nL 109.871988 103.574099 \nL 109.1778 101.392952 \nL 108.723673 99.323116 \nL 108.513178 97.36694 \nL 108.549233 95.526424 \nL 108.834036 93.803221 \nL 109.369089 92.198659 \nL 110.155132 90.713737 \nL 111.192153 89.349141 \nL 112.479381 88.105237 \nL 114.015262 86.982098 \nL 115.797472 85.979517 \nL 117.822912 85.097 \nL 120.087736 84.333805 \nL 123.248278 83.54613 \nL 126.764962 82.940981 \nL 130.625388 82.515504 \nL 134.815537 82.266451 \nL 140.256853 82.195343 \nL 146.120634 82.36629 \nL 152.374291 82.772118 \nL 158.982789 83.405375 \nL 167.091448 84.421566 \nL 175.570248 85.725177 \nL 184.354492 87.304682 \nL 193.377697 89.149132 \nL 202.572417 91.248388 \nL 211.871001 93.593197 \nL 221.206378 96.175341 \nL 230.512782 98.987594 \nL 239.726451 102.023718 \nL 247.503664 104.80021 \nL 255.131172 107.734287 \nL 262.574344 110.823302 \nL 269.800787 114.064815 \nL 276.780501 117.456437 \nL 283.486055 120.995734 \nL 288.846689 124.056043 \nL 293.986918 127.215336 \nL 298.895311 130.471662 \nL 303.561858 133.82277 \nL 307.977971 137.266056 \nL 312.136488 140.798495 \nL 316.031648 144.416608 \nL 319.659097 148.11639 \nL 323.015812 151.893278 \nL 326.100111 155.742097 \nL 328.911615 159.657038 \nL 331.451137 163.631624 \nL 333.720643 167.658684 \nL 335.72322 171.730348 \nL 337.462958 175.838037 \nL 338.944858 179.972462 \nL 340.174806 184.123646 \nL 341.159399 188.280927 \nL 341.90594 192.433004 \nL 342.422284 196.567956 \nL 342.716802 200.673303 \nL 342.798192 204.736044 \nL 342.675514 208.742723 \nL 342.357996 212.67951 \nL 341.854971 216.532243 \nL 341.175793 220.286544 \nL 340.141383 224.641313 \nL 338.882578 228.808234 \nL 337.41479 232.762216 \nL 336.042704 235.876716 \nL 334.543966 238.812209 \nL 332.926367 241.555097 \nL 331.197251 244.092299 \nL 329.36347 246.411312 \nL 327.431375 248.500332 \nL 325.406791 250.348327 \nL 323.295013 251.945145 \nL 321.100799 253.281529 \nL 318.828322 254.349278 \nL 316.956477 255.005238 \nL 315.038536 255.481561 \nL 313.075925 255.775597 \nL 311.06986 255.885181 \nL 309.021355 255.808678 \nL 306.931268 255.544932 \nL 304.800279 255.093339 \nL 302.079774 254.264564 \nL 299.296836 253.143081 \nL 296.451851 251.731073 \nL 293.544957 250.031977 \nL 290.576095 248.050432 \nL 287.545059 245.792242 \nL 283.825327 242.727027 \nL 280.015113 239.287394 \nL 276.113997 235.489349 \nL 271.447608 230.629217 \nL 265.963578 224.547451 \nL 260.321039 217.952087 \nL 253.790388 209.986457 \nL 245.563732 199.58163 \nL 235.541472 186.537029 \nL 221.29143 167.601489 \nL 202.190152 141.847188 \nL 188.423622 122.967524 \nL 179.159121 109.920693 \nL 171.975017 99.421431 \nL 166.659977 91.272001 \nL 162.434239 84.402 \nL 159.16846 78.703231 \nL 156.343178 73.314005 \nL 154.297205 68.9524 \nL 152.617928 64.837366 \nL 151.510727 61.601644 \nL 150.67816 58.54556 \nL 150.127341 55.672127 \nL 149.864069 52.983835 \nL 149.863467 50.967882 \nL 150.051273 49.072529 \nL 150.428417 47.298423 \nL 150.995186 45.646029 \nL 151.751225 44.115654 \nL 152.695508 42.70744 \nL 153.826361 41.421386 \nL 155.141431 40.257359 \nL 156.637711 39.215103 \nL 158.311561 38.294251 \nL 160.158666 37.494324 \nL 162.703626 36.663615 \nL 165.500606 36.019708 \nL 168.537234 35.561208 \nL 171.799789 35.286596 \nL 175.273294 35.194271 \nL 179.697181 35.321777 \nL 184.371745 35.706587 \nL 189.26529 36.34587 \nL 194.344564 37.236978 \nL 199.5751 38.377405 \nL 204.921535 39.764841 \nL 210.34798 41.397221 \nL 215.81836 43.272734 \nL 221.296759 45.389763 \nL 226.747774 47.746928 \nL 232.136829 50.343018 \nL 237.430496 53.176896 \nL 241.745895 55.719336 \nL 245.955204 58.4255 \nL 250.041746 61.294682 \nL 253.98986 64.326046 \nL 257.784987 67.518602 \nL 261.413747 70.871146 \nL 264.863981 74.382219 \nL 268.124819 78.050051 \nL 271.186709 81.872493 \nL 274.041424 85.846988 \nL 276.682108 89.970481 \nL 279.103249 94.239395 \nL 281.300682 98.649574 \nL 283.271575 103.196233 \nL 285.014373 107.873905 \nL 286.528776 112.676423 \nL 287.815672 117.596852 \nL 288.877099 122.627491 \nL 289.71614 127.759832 \nL 290.336902 132.984539 \nL 290.744378 138.291444 \nL 290.944403 143.669537 \nL 290.943531 149.10698 \nL 290.748976 154.591104 \nL 290.27079 161.214651 \nL 289.539148 167.861239 \nL 288.56901 174.50461 \nL 287.375851 181.11712 \nL 285.975384 187.669881 \nL 284.383401 194.132938 \nL 282.615551 200.475461 \nL 280.687209 206.665963 \nL 278.613241 212.67257 \nL 276.407949 218.463258 \nL 274.08492 224.006147 \nL 271.656919 229.269797 \nL 269.135837 234.223484 \nL 266.532635 238.837544 \nL 263.857313 243.083679 \nL 261.57934 246.321767 \nL 259.262291 249.271388 \nL 256.910441 251.91922 \nL 254.527617 254.253067 \nL 252.117241 256.262006 \nL 250.171162 257.628747 \nL 248.210789 258.777159 \nL 246.237386 259.703606 \nL 244.252084 260.405081 \nL 242.25591 260.879237 \nL 240.249807 261.124371 \nL 238.23463 261.139446 \nL 236.211165 260.924105 \nL 234.18016 260.478671 \nL 232.142329 259.804125 \nL 230.098367 258.902117 \nL 228.048971 257.774965 \nL 225.994852 256.425622 \nL 223.4217 254.432008 \nL 220.8439 252.105158 \nL 218.263182 249.454828 \nL 215.681485 246.492083 \nL 213.101003 243.229216 \nL 210.009554 238.936602 \nL 206.92839 234.256357 \nL 203.86322 229.215523 \nL 200.316184 222.916972 \nL 196.811807 216.214058 \nL 193.363766 209.155985 \nL 189.512036 200.719267 \nL 185.780024 191.960085 \nL 182.19648 182.953807 \nL 178.792795 173.774418 \nL 175.602611 164.493617 \nL 172.66135 155.179997 \nL 170.320685 147.054729 \nL 168.223463 138.994788 \nL 166.394417 131.038183 \nL 165.058476 124.327179 \nL 163.952009 117.738296 \nL 163.088941 111.290245 \nL 162.482196 105.000086 \nL 162.143511 98.883232 \nL 162.073536 93.928233 \nL 162.202054 89.110333 \nL 162.533324 84.435935 \nL 163.070697 79.910722 \nL 163.81652 75.539696 \nL 164.772082 71.32723 \nL 165.937557 67.277053 \nL 167.311984 63.392328 \nL 168.893207 59.675709 \nL 170.677852 56.129323 \nL 172.661334 52.754872 \nL 174.837831 49.553658 \nL 177.200296 46.526628 \nL 179.740482 43.674412 \nL 182.448966 40.99741 \nL 185.315191 38.495763 \nL 188.327505 36.169462 \nL 191.473241 34.018365 \nL 194.738761 32.042249 \nL 198.109565 30.240841 \nL 201.57035 28.61384 \nL 205.105117 27.160974 \nL 209.4211 25.647035 \nL 213.790125 24.383212 \nL 218.181888 23.369395 \nL 222.565644 22.605702 \nL 226.910516 22.092489 \nL 231.185784 21.830387 \nL 235.361206 21.820235 \nL 239.407299 22.063111 \nL 242.659712 22.459693 \nL 245.786795 23.033695 \nL 248.773549 23.785991 \nL 251.605824 24.717493 \nL 254.270407 25.829097 \nL 256.755106 27.121701 \nL 259.048847 28.596125 \nL 261.141702 30.253093 \nL 262.665465 31.710525 \nL 264.051196 33.285436 \nL 265.295557 34.977983 \nL 266.39574 36.788257 \nL 267.349489 38.716218 \nL 268.155081 40.761756 \nL 268.811343 42.924599 \nL 269.420767 45.792503 \nL 269.795846 48.842005 \nL 269.937798 52.071634 \nL 269.849051 55.479514 \nL 269.533218 59.063322 \nL 268.995032 62.820259 \nL 268.063903 67.552404 \nL 266.83276 72.522345 \nL 265.315228 77.722254 \nL 263.203176 84.067254 \nL 260.74848 90.696338 \nL 257.56003 98.595919 \nL 254.005745 106.809622 \nL 249.627138 116.380026 \nL 244.36742 127.354736 \nL 237.628326 140.874418 \nL 229.960044 155.758908 \nL 221.459543 171.787878 \nL 212.879289 187.486229 \nL 205.568236 200.406814 \nL 199.558124 210.619021 \nL 194.238547 219.259811 \nL 189.593857 226.422471 \nL 185.035657 233.030287 \nL 181.121938 238.309099 \nL 177.824395 242.429885 \nL 174.580269 246.154706 \nL 171.389909 249.46376 \nL 168.772453 251.891004 \nL 166.192479 254.008489 \nL 163.650066 255.808636 \nL 161.145373 257.285236 \nL 158.67869 258.43344 \nL 156.733028 259.113208 \nL 154.812339 259.579528 \nL 152.917091 259.831934 \nL 151.047879 259.870551 \nL 149.205424 259.696143 \nL 147.390611 259.310079 \nL 145.604496 258.714303 \nL 143.8483 257.911378 \nL 142.123434 256.904418 \nL 140.431499 255.697134 \nL 138.36567 253.912801 \nL 136.358125 251.831485 \nL 134.413362 249.463785 \nL 132.536406 246.821399 \nL 130.732813 243.917028 \nL 129.008634 240.764301 \nL 127.05374 236.673573 \nL 125.234936 232.272272 \nL 123.565415 227.587784 \nL 122.059204 222.648387 \nL 120.731059 217.482937 \nL 119.596306 212.120607 \nL 118.670716 206.590609 \nL 117.970345 200.921916 \nL 117.51126 195.143023 \nL 117.324538 190.263194 \nL 117.325552 185.341797 \nL 117.523099 180.393947 \nL 117.925612 175.43419 \nL 118.541083 170.476439 \nL 119.376932 165.533934 \nL 120.439966 160.619195 \nL 121.736243 155.743999 \nL 123.270919 150.919358 \nL 125.048287 146.155506 \nL 127.071624 141.461899 \nL 129.34307 136.847215 \nL 131.863629 132.319375 \nL 134.633058 127.885558 \nL 137.649814 123.552231 \nL 140.911005 119.325181 \nL 144.412368 115.209557 \nL 148.148214 111.209918 \nL 152.111426 107.330277 \nL 156.29343 103.574153 \nL 160.684232 99.944639 \nL 165.272406 96.444437 \nL 170.045126 93.075933 \nL 174.988223 89.841244 \nL 180.086206 86.742289 \nL 186.38461 83.205167 \nL 192.850797 79.868909 \nL 199.45145 76.73628 \nL 206.151284 73.810084 \nL 212.913323 71.093261 \nL 219.699196 68.588908 \nL 226.469457 66.30041 \nL 234.29474 63.908189 \nL 241.979684 61.821111 \nL 249.459997 60.046075 \nL 256.672321 58.590494 \nL 262.594243 57.603026 \nL 268.236625 56.861057 \nL 273.563857 56.369726 \nL 278.542431 56.134105 \nL 283.141287 56.159091 \nL 286.66305 56.38236 \nL 289.886558 56.792331 \nL 292.798532 57.391246 \nL 295.387337 58.181054 \nL 297.218962 58.951463 \nL 298.83309 59.845742 \nL 300.226179 60.864374 \nL 301.395443 62.007672 \nL 302.338844 63.275737 \nL 303.055091 64.66847 \nL 303.543662 66.185538 \nL 303.804756 67.826402 \nL 303.839326 69.590256 \nL 303.649041 71.476079 \nL 303.23627 73.482577 \nL 302.604056 75.608205 \nL 301.510886 78.429989 \nL 300.089236 81.431003 \nL 298.349096 84.606524 \nL 295.856527 88.639875 \nL 292.943433 92.906265 \nL 289.045303 98.162476 \nL 284.64837 103.698957 \nL 279.068526 110.339853 \nL 272.165193 118.165089 \nL 263.833704 127.230278 \nL 254.022279 137.550639 \nL 242.746266 149.082006 \nL 230.096742 161.699482 \nL 217.232869 174.222446 \nL 205.349096 185.494231 \nL 194.567275 195.420844 \nL 184.93144 203.986666 \nL 176.436922 211.236256 \nL 169.051437 217.256327 \nL 161.837446 222.829984 \nL 155.675184 227.308009 \nL 149.659293 231.387373 \nL 144.622921 234.54982 \nL 139.699957 237.391036 \nL 134.892456 239.900778 \nL 130.202274 242.070759 \nL 126.384741 243.614972 \nL 122.651083 244.916342 \nL 119.002546 245.973366 \nL 115.44058 246.785596 \nL 111.966853 247.353614 \nL 108.583301 247.679054 \nL 105.292206 247.764564 \nL 102.096201 247.613781 \nL 98.998319 247.231362 \nL 96.001985 246.622868 \nL 93.111141 245.794782 \nL 90.330143 244.754435 \nL 87.66381 243.509937 \nL 85.11745 242.070162 \nL 82.696811 240.444614 \nL 80.408151 238.643429 \nL 78.258131 236.677242 \nL 76.253799 234.557117 \nL 74.40264 232.294477 \nL 72.712434 229.901044 \nL 71.191308 227.388705 \nL 69.847603 224.769446 \nL 68.689871 222.055296 \nL 67.726809 219.258222 \nL 66.967161 216.390047 \nL 66.419667 213.462383 \nL 66.093037 210.486567 \nL 65.995791 207.473566 \nL 66.136269 204.433939 \nL 66.52243 201.377788 \nL 67.161938 198.314677 \nL 68.061927 195.25362 \nL 69.229014 192.203023 \nL 70.669204 189.170672 \nL 72.387781 186.163689 \nL 74.38929 183.188544 \nL 76.677431 180.251021 \nL 79.254995 177.356252 \nL 82.123832 174.508688 \nL 85.284755 171.712151 \nL 88.737542 168.969833 \nL 92.480851 166.284332 \nL 96.512197 163.657694 \nL 100.827946 161.091446 \nL 105.423255 158.586653 \nL 111.298066 155.66291 \nL 117.553932 152.82903 \nL 124.175612 150.084875 \nL 131.145326 147.429869 \nL 138.442822 144.863165 \nL 147.34053 141.978999 \nL 156.613522 139.212293 \nL 166.217741 136.56205 \nL 177.537924 133.675518 \nL 189.150804 130.942059 \nL 202.462113 128.054311 \nL 215.914646 125.373627 \nL 229.377983 122.91339 \nL 242.717579 120.691686 \nL 255.796664 118.73116 \nL 268.478302 117.058627 \nL 279.308025 115.838132 \nL 289.625025 114.892078 \nL 298.162464 114.308226 \nL 306.184071 113.96904 \nL 313.637816 113.890465 \nL 319.53847 114.042132 \nL 324.959523 114.405462 \nL 329.093074 114.875841 \nL 332.864161 115.503083 \nL 336.261898 116.290846 \nL 339.276995 117.242129 \nL 341.408422 118.122471 \nL 343.286979 119.109798 \nL 344.910287 120.204626 \nL 346.276665 121.407116 \nL 347.385151 122.717073 \nL 348.235492 124.133929 \nL 348.828141 125.656731 \nL 349.164242 127.284134 \nL 349.24558 129.014402 \nL 349.07467 130.845392 \nL 348.654589 132.774558 \nL 347.989037 134.798958 \nL 347.082315 136.915247 \nL 345.617158 139.6841 \nL 343.793281 142.582518 \nL 341.622363 145.601449 \nL 339.117089 148.730969 \nL 335.688571 152.617175 \nL 331.823039 156.627073 \nL 327.546601 160.739178 \nL 322.886274 164.930726 \nL 317.869711 169.17785 \nL 311.604078 174.169997 \nL 304.935905 179.163578 \nL 297.90898 184.117315 \nL 290.566027 188.989621 \nL 282.948317 193.739101 \nL 276.230121 197.681466 \nL 269.3627 201.478751 \nL 262.368495 205.106916 \nL 255.268696 208.543025 \nL 248.083218 211.765465 \nL 240.830743 214.754177 \nL 233.528741 217.490802 \nL 227.417733 219.566843 \nL 221.292613 221.447935 \nL 215.161838 223.126706 \nL 209.033469 224.596889 \nL 202.91522 225.853341 \nL 196.81453 226.892119 \nL 190.738612 227.710467 \nL 184.694533 228.306858 \nL 178.689267 228.681001 \nL 172.729768 228.833801 \nL 166.823028 228.767417 \nL 160.976144 228.485184 \nL 155.196375 227.99162 \nL 149.491184 227.292369 \nL 143.868304 226.394164 \nL 138.335767 225.304769 \nL 132.901945 224.032906 \nL 127.575569 222.588224 \nL 121.338613 220.641296 \nL 115.286064 218.480138 \nL 109.435248 216.125596 \nL 103.804292 213.599626 \nL 98.412106 210.925077 \nL 93.278245 208.125413 \nL 88.422825 205.224495 \nL 83.866403 202.246329 \nL 79.629804 199.214804 \nL 75.733957 196.153465 \nL 72.199695 193.085282 \nL 69.047534 190.032417 \nL 66.297423 187.016014 \nL 64.326683 184.544627 \nL 62.659107 182.123241 \nL 61.304706 179.761938 \nL 60.272832 177.470001 \nL 59.685341 175.692102 \nL 59.313766 173.96794 \nL 59.161746 172.301064 \nL 59.232524 170.694642 \nL 59.528891 169.151453 \nL 60.053236 167.673881 \nL 60.807441 166.263921 \nL 61.792943 164.92317 \nL 63.010672 163.65284 \nL 64.461073 162.453748 \nL 66.144038 161.326339 \nL 68.058936 160.270685 \nL 70.776967 159.051557 \nL 73.852229 157.942771 \nL 77.28007 156.942225 \nL 81.054551 156.047087 \nL 86.031296 155.107076 \nL 91.482083 154.306568 \nL 98.417518 153.537866 \nL 105.943668 152.933121 \nL 115.223087 152.422421 \nL 126.457041 152.048323 \nL 139.818486 151.839735 \nL 156.887464 151.812803 \nL 179.444812 152.016717 \nL 212.362155 152.55404 \nL 251.701833 153.408378 \nL 277.348348 154.166997 \nL 295.810801 154.931221 \nL 309.117481 155.683769 \nL 320.30945 156.522079 \nL 329.56201 157.422388 \nL 337.075941 158.34836 \nL 344.012486 159.418351 \nL 349.476729 160.460155 \nL 354.480101 161.624915 \nL 359.009314 162.919027 \nL 362.413542 164.100058 \nL 365.475898 165.376851 \nL 368.192587 166.750985 \nL 370.560998 168.223277 \nL 372.203977 169.471813 \nL 373.622984 170.782801 \nL 374.818304 172.155494 \nL 375.790731 173.588781 \nL 376.5415 175.08118 \nL 377.072293 176.630832 \nL 377.385224 178.235504 \nL 377.482829 179.892586 \nL 377.368026 181.599096 \nL 377.044102 183.351685 \nL 376.514705 185.146648 \nL 375.570078 187.443731 \nL 374.31901 189.792008 \nL 372.77054 192.182046 \nL 370.934285 194.603682 \nL 368.820308 197.046093 \nL 366.439075 199.497846 \nL 363.24399 202.435418 \nL 359.698544 205.347693 \nL 355.821956 208.212426 \nL 351.633504 211.006861 \nL 347.1523 213.70794 \nL 342.397148 216.292571 \nL 337.38643 218.737824 \nL 332.137967 221.021225 \nL 326.668883 223.120929 \nL 320.995646 225.016012 \nL 316.123303 226.424621 \nL 311.128694 227.666596 \nL 306.020085 228.731913 \nL 300.805362 229.611349 \nL 295.492077 230.296588 \nL 290.087434 230.780232 \nL 284.598373 231.055881 \nL 279.031572 231.118223 \nL 273.393513 230.963016 \nL 267.690516 230.587179 \nL 261.928822 229.988771 \nL 256.114629 229.167053 \nL 250.254167 228.122456 \nL 244.353761 226.856598 \nL 238.419895 225.372304 \nL 232.459278 223.673568 \nL 226.478913 221.765497 \nL 220.486153 219.654334 \nL 213.289452 216.863199 \nL 206.100441 213.804732 \nL 198.934539 210.495474 \nL 191.808377 206.953795 \nL 184.739855 203.199734 \nL 177.748229 199.254795 \nL 169.716107 194.44161 \nL 161.85189 189.43774 \nL 154.193136 184.282757 \nL 146.779722 179.017313 \nL 139.653538 173.682648 \nL 132.858195 168.320118 \nL 126.438586 162.970731 \nL 120.440347 157.674672 \nL 114.909332 152.47087 \nL 110.574747 148.112183 \nL 106.644758 143.870928 \nL 103.146361 139.76807 \nL 100.105304 135.823134 \nL 97.937895 132.669318 \nL 96.11776 129.647148 \nL 94.6568 126.765254 \nL 93.75383 124.565969 \nL 93.092442 122.464972 \nL 92.676896 120.465425 \nL 92.510881 118.570096 \nL 92.59744 116.78138 \nL 92.938952 115.101272 \nL 93.537109 113.531392 \nL 94.392904 112.072981 \nL 95.506612 110.726901 \nL 96.877757 109.493655 \nL 98.505145 108.373392 \nL 100.386831 107.36593 \nL 102.520119 106.470754 \nL 104.901584 105.687051 \nL 108.221039 104.862473 \nL 111.912068 104.207584 \nL 115.963308 103.71905 \nL 120.361779 103.393017 \nL 126.077666 103.210199 \nL 132.244637 103.247053 \nL 138.832059 103.494856 \nL 147.004408 104.038443 \nL 155.647411 104.841998 \nL 164.701283 105.890742 \nL 175.4714 107.371065 \nL 186.600086 109.132399 \nL 197.98896 111.156014 \nL 209.539003 113.425241 \nL 221.151882 115.925768 \nL 232.731188 118.645766 \nL 244.183602 121.575886 \nL 254.030165 124.306542 \nL 263.654698 127.189298 \nL 273.004112 130.221788 \nL 282.029159 133.402435 \nL 289.47245 136.245808 \nL 296.618454 139.196688 \nL 303.44389 142.254484 \nL 309.928088 145.418405 \nL 316.053 148.687297 \nL 320.87151 151.490379 \nL 325.422361 154.363901 \nL 329.699444 157.306175 \nL 333.697875 160.315075 \nL 337.414061 163.387992 \nL 340.845654 166.521789 \nL 343.991493 169.712754 \nL 346.851578 172.956574 \nL 349.427028 176.2483 \nL 351.72 179.582338 \nL 353.733665 182.952416 \nL 355.472114 186.351608 \nL 356.940283 189.772301 \nL 358.143858 193.206231 \nL 359.089289 196.644498 \nL 359.783603 200.077576 \nL 360.234348 203.495368 \nL 360.449546 206.887228 \nL 360.43756 210.242018 \nL 360.207024 213.548163 \nL 359.766807 216.793714 \nL 359.12583 219.966409 \nL 358.293099 223.053764 \nL 357.277578 226.043115 \nL 356.088071 228.921728 \nL 354.733257 231.676869 \nL 353.221518 234.29592 \nL 351.560992 236.766421 \nL 349.759471 239.07617 \nL 347.824332 241.213321 \nL 345.76253 243.166508 \nL 343.580577 244.924867 \nL 341.284508 246.478128 \nL 338.879841 247.816729 \nL 336.371617 248.931853 \nL 333.764351 249.815532 \nL 331.062058 250.460659 \nL 328.26826 250.8611 \nL 325.385989 251.011675 \nL 322.417845 250.908251 \nL 319.365986 250.547763 \nL 316.232176 249.928204 \nL 313.017831 249.048692 \nL 309.724041 247.909412 \nL 306.35163 246.511682 \nL 302.901242 244.857885 \nL 299.373338 242.951474 \nL 295.038045 240.336731 \nL 290.592257 237.374401 \nL 286.036649 234.076104 \nL 280.584239 229.821602 \nL 274.985887 225.152646 \nL 268.413459 219.344247 \nL 261.662358 213.074808 \nL 253.867275 205.530829 \nL 244.98282 196.625002 \nL 234.066256 185.354138 \nL 221.096877 171.636741 \nL 205.281953 154.570032 \nL 190.709097 138.53832 \nL 178.566738 124.868547 \nL 169.656428 114.538576 \nL 162.196885 105.565991 \nL 156.117716 97.897482 \nL 151.297631 91.447284 \nL 147.582571 86.112377 \nL 144.803206 81.784401 \nL 142.422095 77.693723 \nL 140.460224 73.849764 \nL 139.159106 70.840947 \nL 138.171474 68.013344 \nL 137.505298 65.370502 \nL 137.208217 63.391273 \nL 137.123645 61.533441 \nL 137.253516 59.798044 \nL 137.599061 58.185886 \nL 138.160825 56.697565 \nL 138.938622 55.333455 \nL 139.93155 54.093738 \nL 141.137964 52.978414 \nL 142.555501 51.98731 \nL 144.181066 51.120068 \nL 146.010836 50.376206 \nL 148.040303 49.75507 \nL 150.849946 49.150079 \nL 153.951761 48.733907 \nL 157.332533 48.50457 \nL 160.977555 48.459917 \nL 165.677657 48.64686 \nL 170.704865 49.092244 \nL 176.026634 49.791794 \nL 181.608402 50.741226 \nL 187.413933 51.936308 \nL 193.405666 53.372954 \nL 199.54508 55.047296 \nL 205.793084 56.955682 \nL 212.110372 59.094758 \nL 218.457808 61.461412 \nL 224.796776 64.052779 \nL 231.089532 66.866227 \nL 237.299533 69.899301 \nL 243.391751 73.149633 \nL 249.33294 76.614858 \nL 254.146001 79.66494 \nL 258.815648 82.861033 \nL 263.326218 86.201449 \nL 267.663303 89.684319 \nL 271.813807 93.307511 \nL 275.765984 97.06857 \nL 279.509488 100.96466 \nL 283.035373 104.992528 \nL 286.336113 109.148433 \nL 289.405609 113.428088 \nL 292.239183 117.826633 \nL 294.833517 122.33856 \nL 297.186644 126.957673 \nL 299.29792 131.677076 \nL 301.16793 136.489116 \nL 302.798442 141.385362 \nL 304.192344 146.356598 \nL 305.353549 151.392799 \nL 306.286961 156.483138 \nL 306.998283 161.615984 \nL 307.494046 166.778922 \nL 307.781429 171.95877 \nL 307.868189 177.141615 \nL 307.762593 182.312853 \nL 307.394147 188.481519 \nL 306.776615 194.584063 \nL 305.925841 200.592018 \nL 304.857802 206.476086 \nL 303.588464 212.206358 \nL 302.133539 217.752535 \nL 300.508334 223.084217 \nL 298.727599 228.17115 \nL 296.805372 232.983543 \nL 294.754896 237.492311 \nL 292.588523 241.669438 \nL 290.702916 244.877725 \nL 288.750801 247.822531 \nL 286.737723 250.490153 \nL 284.668733 252.867889 \nL 282.548383 254.944142 \nL 280.380716 256.708502 \nL 278.614922 257.889264 \nL 276.822755 258.860512 \nL 275.005664 259.618776 \nL 273.16489 260.161192 \nL 271.301555 260.485503 \nL 269.416592 260.590065 \nL 267.510833 260.473873 \nL 265.584959 260.136571 \nL 263.639545 259.578415 \nL 261.675084 258.80032 \nL 259.69198 257.803803 \nL 257.690577 256.591032 \nL 255.163528 254.775212 \nL 252.608848 252.632533 \nL 250.027032 250.171055 \nL 247.418593 247.400175 \nL 244.254174 243.681747 \nL 241.053587 239.553672 \nL 237.818542 235.038619 \nL 234.003782 229.314864 \nL 230.149859 223.139731 \nL 225.705312 215.586554 \nL 220.668359 206.539545 \nL 215.613181 197.007886 \nL 210.007811 185.97316 \nL 203.908446 173.456005 \nL 197.948966 160.716618 \nL 192.213385 147.92645 \nL 187.272768 136.389518 \nL 183.114357 126.174365 \nL 179.289478 116.194195 \nL 176.217585 107.573414 \nL 173.497506 99.231409 \nL 171.437559 92.189664 \nL 169.703132 85.410993 \nL 168.493537 79.824514 \nL 167.554052 74.455767 \nL 166.896744 69.313884 \nL 166.572107 65.207989 \nL 166.455708 61.269032 \nL 166.551617 57.50039 \nL 166.862825 53.904886 \nL 167.391255 50.484902 \nL 168.137654 47.242315 \nL 169.101593 44.17861 \nL 170.281407 41.294851 \nL 171.674205 38.591791 \nL 173.275851 36.069864 \nL 175.080937 33.72921 \nL 177.082843 31.569746 \nL 179.273725 29.591189 \nL 181.644558 27.793085 \nL 184.185192 26.174875 \nL 186.884395 24.735896 \nL 189.729916 23.47546 \nL 192.708567 22.39281 \nL 195.806301 21.487233 \nL 199.008311 20.758031 \nL 202.299109 20.204574 \nL 206.342627 19.771633 \nL 210.462262 19.590178 \nL 214.628746 19.659667 \nL 218.812422 19.979778 \nL 222.983536 20.550476 \nL 227.11253 21.371962 \nL 231.170333 22.444684 \nL 234.477009 23.53097 \nL 237.698735 24.792602 \nL 240.820284 26.23007 \nL 243.827122 27.843938 \nL 246.705519 29.634721 \nL 249.442625 31.602942 \nL 252.026544 33.749025 \nL 254.446403 36.073334 \nL 256.692414 38.57606 \nL 258.755915 41.25723 \nL 260.629417 44.116642 \nL 262.306612 47.153833 \nL 263.782412 50.368055 \nL 265.052939 53.758204 \nL 266.11554 57.322761 \nL 266.968751 61.059825 \nL 267.61227 64.966997 \nL 268.046932 69.041381 \nL 268.274672 73.279522 \nL 268.298455 77.677402 \nL 268.122229 82.230391 \nL 267.653647 87.891236 \nL 266.91405 93.757394 \nL 265.914955 99.817012 \nL 264.669199 106.056749 \nL 262.922727 113.544131 \nL 260.883213 121.230014 \nL 258.575503 129.085172 \nL 255.642522 138.228417 \nL 252.431174 147.498189 \nL 248.533154 158.006633 \nL 244.383728 168.514984 \nL 240.032624 178.929316 \nL 235.525751 189.15065 \nL 230.904526 199.076224 \nL 226.20542 208.601042 \nL 221.988504 216.645803 \nL 217.753495 224.217325 \nL 214.04531 230.398186 \nL 210.343829 236.116521 \nL 207.181887 240.617029 \nL 204.033794 244.720616 \nL 200.902618 248.403897 \nL 198.308082 251.136907 \nL 195.728338 253.55238 \nL 193.164502 255.640678 \nL 190.617596 257.393525 \nL 188.592917 258.549624 \nL 186.580203 259.483823 \nL 184.579981 260.193932 \nL 182.592797 260.678423 \nL 180.619262 260.936408 \nL 178.660051 260.967653 \nL 176.715922 260.7726 \nL 174.787728 260.352327 \nL 172.876438 259.708578 \nL 170.983141 258.843743 \nL 169.109076 257.760836 \nL 167.255608 256.463476 \nL 165.424279 254.955896 \nL 163.168879 252.783158 \nL 160.954491 250.300047 \nL 158.785296 247.518384 \nL 156.66596 244.451126 \nL 154.601606 241.112287 \nL 152.204914 236.768281 \nL 149.906155 232.082141 \nL 147.716924 227.08264 \nL 145.649736 221.799657 \nL 143.71798 216.263869 \nL 141.935807 210.506444 \nL 140.317996 204.558747 \nL 138.879889 198.45207 \nL 137.637167 192.217359 \nL 136.605727 185.884958 \nL 135.801456 179.484388 \nL 135.240057 173.044147 \nL 134.936803 166.591533 \nL 134.891864 161.223661 \nL 135.044381 155.879467 \nL 135.40185 150.572426 \nL 135.971134 145.31523 \nL 136.758413 140.119757 \nL 137.76904 134.997063 \nL 139.007487 129.957382 \nL 140.477252 125.010114 \nL 142.180761 120.16385 \nL 144.119325 115.426389 \nL 146.293044 110.804745 \nL 148.700782 106.305204 \nL 151.340081 101.933343 \nL 154.207152 97.694069 \nL 157.296827 93.591682 \nL 160.602556 89.629908 \nL 164.116402 85.811966 \nL 167.82902 82.140605 \nL 171.729709 78.61816 \nL 175.806418 75.246639 \nL 180.045802 72.027735 \nL 184.433272 68.96291 \nL 188.953052 66.053458 \nL 193.588269 63.300508 \nL 199.277646 60.205035 \nL 205.074781 57.338201 \nL 210.94538 54.701775 \nL 216.853798 52.297584 \nL 222.76335 50.127627 \nL 228.636649 48.194121 \nL 234.435945 46.499491 \nL 240.123486 45.046442 \nL 245.661881 43.837896 \nL 251.014461 42.876992 \nL 256.145637 42.167073 \nL 261.021262 41.711579 \nL 265.608969 41.514052 \nL 269.878468 41.577988 \nL 273.173119 41.833457 \nL 276.212659 42.274723 \nL 278.983742 42.903539 \nL 281.474488 43.721464 \nL 283.258251 44.512858 \nL 284.851413 45.426728 \nL 286.250098 46.463514 \nL 287.451116 47.623556 \nL 288.451982 48.907036 \nL 289.250898 50.313997 \nL 289.846762 51.844297 \nL 290.239191 53.497662 \nL 290.428471 55.273578 \nL 290.415576 57.171389 \nL 290.202137 59.190214 \nL 289.656857 61.882282 \nL 288.807637 64.759185 \nL 287.661748 67.817826 \nL 286.227795 71.054578 \nL 284.140762 75.16786 \nL 281.672373 79.523297 \nL 278.339087 84.898054 \nL 274.552604 90.572571 \nL 269.720935 97.400219 \nL 263.71647 105.479708 \nL 256.445048 114.891995 \nL 246.247919 127.6885 \nL 232.90742 144.045778 \nL 214.784067 165.904855 \nL 198.429919 185.311508 \nL 186.690646 198.920664 \nL 177.748105 208.974226 \nL 169.871991 217.490217 \nL 163.759325 223.802017 \nL 157.82114 229.613649 \nL 152.771328 234.251816 \nL 147.859151 238.442997 \nL 143.758543 241.660415 \nL 139.759261 244.516888 \nL 135.86113 247.000506 \nL 132.689886 248.778256 \nL 129.58887 250.285786 \nL 126.558293 251.519733 \nL 123.598616 252.477899 \nL 120.710553 253.159252 \nL 117.895128 253.563927 \nL 115.153757 253.693268 \nL 112.488249 253.549765 \nL 109.900844 253.137071 \nL 107.394291 252.459976 \nL 104.971802 251.524357 \nL 102.63712 250.337112 \nL 100.394515 248.906186 \nL 98.248786 247.24041 \nL 96.205271 245.349498 \nL 94.269804 243.24395 \nL 92.448781 240.934982 \nL 90.749061 238.434413 \nL 89.177949 235.754622 \nL 87.743203 232.908409 \nL 86.452931 229.908939 \nL 85.31562 226.76961 \nL 84.340022 223.50402 \nL 83.535112 220.1258 \nL 82.910012 216.64858 \nL 82.473917 213.08587 \nL 82.236035 209.450989 \nL 82.20554 205.756987 \nL 82.391395 202.016569 \nL 82.802333 198.242029 \nL 83.446745 194.445192 \nL 84.332623 190.637339 \nL 85.467439 186.82919 \nL 86.858023 183.030848 \nL 88.510568 179.251774 \nL 90.430444 175.500757 \nL 92.622164 171.785917 \nL 95.089343 168.114674 \nL 97.834529 164.493772 \nL 100.859202 160.929277 \nL 104.163721 157.426599 \nL 107.747198 153.990515 \nL 111.607508 150.625198 \nL 115.741228 147.334263 \nL 120.143641 144.120803 \nL 124.808629 140.98744 \nL 129.728756 137.936377 \nL 134.895178 134.969458 \nL 140.297696 132.088224 \nL 147.075984 128.74567 \nL 154.154999 125.530283 \nL 161.509537 122.443771 \nL 169.111788 119.487768 \nL 176.931494 116.663984 \nL 186.285755 113.539283 \nL 195.836269 110.600843 \nL 205.524233 107.853165 \nL 215.287911 105.301772 \nL 225.063169 102.953348 \nL 236.16448 100.528146 \nL 247.09474 98.392141 \nL 257.753366 96.561064 \nL 266.778429 95.222696 \nL 275.453835 94.143703 \nL 283.716411 93.337205 \nL 291.505881 92.816579 \nL 297.762995 92.607945 \nL 303.597734 92.627249 \nL 308.979603 92.882224 \nL 313.098598 93.279897 \nL 316.869654 93.849932 \nL 320.280139 94.595632 \nL 323.319124 95.519775 \nL 325.476586 96.389088 \nL 327.386526 97.374884 \nL 329.045804 98.477739 \nL 330.452073 99.697923 \nL 331.60376 101.035407 \nL 332.500039 102.48983 \nL 333.140836 104.060499 \nL 333.526817 105.746372 \nL 333.65941 107.546066 \nL 333.540728 109.457814 \nL 333.173561 111.479512 \nL 332.561409 113.608668 \nL 331.708394 115.842436 \nL 330.310623 118.776837 \nL 328.554374 121.862584 \nL 326.451348 125.09175 \nL 324.01441 128.45557 \nL 320.668964 132.656372 \nL 316.888384 137.019276 \nL 312.699795 141.52483 \nL 307.335113 146.933784 \nL 301.499655 152.473456 \nL 295.240248 158.106872 \nL 288.603754 163.795532 \nL 281.636455 169.499795 \nL 274.38347 175.179293 \nL 266.888285 180.793349 \nL 259.192364 186.301408 \nL 251.334822 191.66347 \nL 243.352195 196.840547 \nL 235.278342 201.795052 \nL 227.144371 206.491277 \nL 220.146142 210.285607 \nL 213.140996 213.846035 \nL 206.143951 217.15462 \nL 199.168787 220.19519 \nL 192.228175 222.953469 \nL 185.333805 225.417225 \nL 179.631675 227.237997 \nL 173.975133 228.842518 \nL 168.369844 230.227215 \nL 162.821267 231.389623 \nL 157.334742 232.328454 \nL 151.915555 233.043544 \nL 146.568974 233.535854 \nL 141.300353 233.807469 \nL 136.115153 233.86161 \nL 131.019002 233.702559 \nL 126.017765 233.33563 \nL 121.117558 232.767164 \nL 116.324787 232.004434 \nL 111.646217 231.055591 \nL 107.088928 229.929634 \nL 102.660406 228.636316 \nL 98.368493 227.186073 \nL 93.410108 225.254198 \nL 88.675146 223.132289 \nL 84.179207 220.841218 \nL 79.938507 218.402489 \nL 75.969841 215.83801 \nL 72.290429 213.169849 \nL 68.917775 210.42002 \nL 65.86953 207.610249 \nL 63.589877 205.238328 \nL 61.557883 202.851462 \nL 59.783474 200.461141 \nL 58.276333 198.078383 \nL 57.045814 195.713627 \nL 56.100849 193.376696 \nL 55.449851 191.076726 \nL 55.146011 189.269039 \nL 55.039083 187.494356 \nL 55.132492 185.7563 \nL 55.429366 184.05816 \nL 55.932466 182.402875 \nL 56.64422 180.793042 \nL 57.566671 179.230898 \nL 58.701477 177.718336 \nL 60.049854 176.256886 \nL 61.612626 174.847735 \nL 63.868137 173.161099 \nL 66.458977 171.558393 \nL 69.383804 170.039744 \nL 72.640165 168.604529 \nL 76.224435 167.251423 \nL 80.951703 165.73325 \nL 86.134049 164.325892 \nL 91.758917 163.023733 \nL 98.860674 161.628767 \nL 106.517292 160.356509 \nL 115.907212 159.036692 \nL 127.223666 157.699752 \nL 140.634959 156.365536 \nL 156.260646 155.040759 \nL 177.191135 153.509254 \nL 205.206452 151.708584 \nL 238.31984 149.802894 \nL 265.981515 148.416486 \nL 286.391147 147.611938 \nL 301.439442 147.230891 \nL 314.184496 147.136478 \nL 323.644094 147.269828 \nL 332.379824 147.617516 \nL 339.38442 148.117504 \nL 344.886113 148.704077 \nL 349.904071 149.446003 \nL 354.421869 150.351153 \nL 357.794587 151.234933 \nL 360.803806 152.23973 \nL 363.444358 153.367841 \nL 365.288742 154.360139 \nL 366.893393 155.432681 \nL 368.257562 156.585457 \nL 369.381079 157.818074 \nL 370.264293 159.129749 \nL 370.908113 160.5193 \nL 371.313998 161.985141 \nL 371.483914 163.52528 \nL 371.420334 165.137315 \nL 371.126208 166.818444 \nL 370.60496 168.565458 \nL 369.860426 170.37476 \nL 368.622276 172.717872 \nL 367.051079 175.143455 \nL 365.156804 177.642042 \nL 362.950149 180.203339 \nL 360.442485 182.816304 \nL 357.052728 186.003478 \nL 353.268016 189.226641 \nL 349.110355 192.463228 \nL 344.602166 195.689782 \nL 339.766046 198.882205 \nL 334.624511 202.015946 \nL 329.199875 205.066295 \nL 323.514028 208.008594 \nL 317.5883 210.818511 \nL 311.443326 213.47229 \nL 305.098993 215.94698 \nL 298.57431 218.220705 \nL 291.887428 220.272885 \nL 286.203605 221.799989 \nL 280.428694 223.149842 \nL 274.571826 224.313221 \nL 268.641786 225.281887 \nL 262.647009 226.048643 \nL 256.595644 226.607405 \nL 250.495599 226.953191 \nL 244.354591 227.08225 \nL 238.180206 226.992024 \nL 231.979962 226.681202 \nL 225.761365 226.149719 \nL 219.53198 225.398759 \nL 213.299496 224.430761 \nL 207.071787 223.24939 \nL 200.856975 221.8595 \nL 194.663488 220.267128 \nL 188.500119 218.479437 \nL 182.376071 216.504666 \nL 175.092755 213.901105 \nL 167.897631 211.059328 \nL 160.809441 207.99894 \nL 153.84803 204.741133 \nL 147.03439 201.308494 \nL 140.390661 197.724786 \nL 133.940055 194.014696 \nL 127.706777 190.203608 \nL 120.742824 185.664171 \nL 114.149895 181.063789 \nL 107.969997 176.443652 \nL 103.033904 172.498561 \nL 98.45926 168.593614 \nL 94.272478 164.752807 \nL 90.499446 160.999081 \nL 87.165119 157.354111 \nL 84.738846 154.414359 \nL 82.64674 151.575078 \nL 80.900923 148.846303 \nL 79.512549 146.237192 \nL 78.666045 144.241625 \nL 78.05939 142.331703 \nL 77.696695 140.510804 \nL 77.581511 138.781896 \nL 77.71682 137.147533 \nL 78.104979 135.609866 \nL 78.747742 134.170626 \nL 79.646209 132.831137 \nL 80.800834 131.592319 \nL 82.211417 130.454703 \nL 83.877058 129.418427 \nL 85.796183 128.483263 \nL 87.966562 127.648619 \nL 91.028336 126.745223 \nL 94.470923 125.994889 \nL 98.285581 125.39436 \nL 102.461983 124.939724 \nL 107.934491 124.580363 \nL 113.887839 124.415842 \nL 121.40659 124.457311 \nL 129.49934 124.73455 \nL 139.387507 125.31814 \nL 149.88132 126.161344 \nL 162.305542 127.388308 \nL 176.730633 129.056464 \nL 191.636265 131.003515 \nL 208.371409 133.422929 \nL 225.228872 136.095162 \nL 240.462401 138.720371 \nL 255.43366 141.519386 \nL 268.550861 144.183312 \nL 281.216528 146.985882 \nL 292.014239 149.597563 \nL 302.311029 152.328274 \nL 310.863942 154.820356 \nL 318.953991 157.413095 \nL 325.496574 159.718921 \nL 331.659676 162.104453 \nL 337.428806 164.571736 \nL 342.791808 167.122207 \nL 347.738851 169.756539 \nL 351.538171 172.015734 \nL 355.040321 174.332335 \nL 358.243271 176.705111 \nL 361.146101 179.132243 \nL 363.748917 181.61128 \nL 366.052819 184.139126 \nL 368.059857 186.712006 \nL 369.773021 189.325456 \nL 371.196108 191.974321 \nL 372.333768 194.65273 \nL 373.19135 197.354146 \nL 373.774867 200.07135 \nL 374.090916 202.796474 \nL 374.146653 205.521026 \nL 373.949666 208.235935 \nL 373.507895 210.93159 \nL 372.829616 213.597887 \nL 371.923285 216.224302 \nL 370.797527 218.799929 \nL 369.461053 221.313564 \nL 367.922571 223.753766 \nL 366.190707 226.108935 \nL 364.273992 228.367399 \nL 362.180754 230.517483 \nL 359.919102 232.547589 \nL 357.496878 234.446288 \nL 354.921576 236.20238 \nL 352.200352 237.805042 \nL 349.339951 239.243796 \nL 346.346756 240.508699 \nL 343.226708 241.590336 \nL 339.985293 242.479958 \nL 336.627606 243.169497 \nL 333.158308 243.651655 \nL 329.581649 243.919941 \nL 325.901466 243.968744 \nL 322.121245 243.793348 \nL 318.244128 243.389985 \nL 314.272958 242.755898 \nL 310.210323 241.889287 \nL 306.058603 240.789387 \nL 301.820017 239.45644 \nL 297.496679 237.891723 \nL 292.199698 235.711415 \nL 286.787265 233.206521 \nL 281.2632 230.384913 \nL 275.631668 227.256367 \nL 269.897367 223.832515 \nL 263.084721 219.482752 \nL 256.149677 214.773398 \nL 249.104235 209.731229 \nL 240.935525 203.598855 \nL 232.6667 197.117089 \nL 223.282361 189.46988 \nL 213.860401 181.518697 \nL 203.419962 172.421838 \nL 193.100647 163.153882 \nL 182.017083 152.891626 \nL 172.313348 143.617843 \nL 163.096864 134.505199 \nL 155.330352 126.524474 \nL 148.931736 119.664044 \nL 143.082262 113.070726 \nL 138.469115 107.553761 \nL 134.374374 102.299301 \nL 131.309312 98.022273 \nL 128.680942 93.968743 \nL 126.840602 90.770198 \nL 125.331083 87.741358 \nL 124.162907 84.887694 \nL 123.345164 82.213971 \nL 122.948444 80.207299 \nL 122.784003 78.320155 \nL 122.854316 76.554002 \nL 123.161105 74.910034 \nL 123.705365 73.389164 \nL 124.487369 71.992031 \nL 125.506601 70.719027 \nL 126.76177 69.570291 \nL 128.250846 68.545716 \nL 129.971024 67.644979 \nL 131.918716 66.867531 \nL 134.089602 66.21265 \nL 137.109275 65.56499 \nL 140.458231 65.105262 \nL 144.12331 64.830941 \nL 148.08974 64.739254 \nL 153.224235 64.86603 \nL 158.738406 65.245826 \nL 164.598884 65.87284 \nL 170.770019 66.741095 \nL 178.312081 68.051007 \nL 186.163436 69.671881 \nL 194.259661 71.594836 \nL 202.535058 73.811504 \nL 210.923472 76.314164 \nL 219.359104 79.095786 \nL 226.578168 81.697247 \nL 233.744737 84.495405 \nL 240.820508 87.486918 \nL 247.76881 90.668703 \nL 254.55489 94.037821 \nL 261.14617 97.59135 \nL 266.468231 100.691339 \nL 271.617873 103.915461 \nL 276.58029 107.26173 \nL 281.342028 110.727918 \nL 285.891034 114.311547 \nL 290.216666 118.009791 \nL 294.309748 121.819443 \nL 298.162548 125.736834 \nL 301.768778 129.757807 \nL 305.123589 133.877643 \nL 308.223538 138.091028 \nL 311.06653 142.392009 \nL 313.6518 146.773953 \nL 315.979865 151.229516 \nL 318.052427 155.750631 \nL 319.872319 160.328481 \nL 321.443442 164.953498 \nL 322.770647 169.61536 \nL 323.859663 174.303003 \nL 324.717033 179.004641 \nL 325.349965 183.707786 \nL 325.766283 188.399288 \nL 325.974273 193.065384 \nL 325.982676 197.691747 \nL 325.800531 202.263542 \nL 325.343444 207.656159 \nL 324.641413 212.921178 \nL 323.710676 218.031048 \nL 322.567276 222.957939 \nL 321.22689 227.673967 \nL 319.704761 232.151481 \nL 318.015379 236.363282 \nL 316.172496 240.282981 \nL 314.528788 243.307911 \nL 312.794324 246.098324 \nL 310.9755 248.640954 \nL 309.078212 250.923367 \nL 307.107811 252.934066 \nL 305.069116 254.662582 \nL 302.966402 256.099543 \nL 301.240675 257.03366 \nL 299.478062 257.7723 \nL 297.680034 258.312409 \nL 295.847865 258.651429 \nL 293.982642 258.787386 \nL 292.08526 258.718877 \nL 290.156458 258.445078 \nL 288.196817 257.965726 \nL 286.206766 257.28116 \nL 283.6769 256.138293 \nL 281.100356 254.67925 \nL 278.477266 252.908415 \nL 275.807577 250.831506 \nL 273.091137 248.455506 \nL 269.769378 245.221153 \nL 266.379584 241.584343 \nL 262.921501 237.563627 \nL 258.800831 232.415069 \nL 254.588086 226.807596 \nL 249.663293 219.886398 \nL 243.988711 211.519322 \nL 237.531154 201.607972 \nL 229.604324 189.035427 \nL 219.513743 172.600978 \nL 207.365118 152.386895 \nL 196.186439 133.387742 \nL 187.48965 118.185589 \nL 181.159985 106.702246 \nL 175.912093 96.714408 \nL 172.130821 89.083005 \nL 168.774667 81.804822 \nL 166.224438 75.747881 \nL 164.349512 70.800428 \nL 162.780033 66.087742 \nL 161.531698 61.617483 \nL 160.746739 58.082212 \nL 160.201264 54.723093 \nL 159.901007 51.542873 \nL 159.850523 48.543834 \nL 160.053112 45.727796 \nL 160.510748 43.096193 \nL 161.060959 41.124386 \nL 161.7745 39.271651 \nL 162.650463 37.538187 \nL 163.687357 35.924087 \nL 164.8831 34.429341 \nL 166.235034 33.053816 \nL 167.739908 31.797298 \nL 169.393906 30.65947 \nL 171.66439 29.403533 \nL 174.151233 28.3316 \nL 176.843412 27.442708 \nL 179.728683 26.735795 \nL 182.79366 26.209757 \nL 186.023902 25.863472 \nL 189.404019 25.695838 \nL 193.635071 25.728993 \nL 198.02904 26.016148 \nL 202.555213 26.555725 \nL 207.181927 27.346422 \nL 211.876884 28.38711 \nL 216.607472 29.676924 \nL 221.341081 31.215235 \nL 226.045427 33.001643 \nL 230.688856 35.035925 \nL 234.489644 36.920437 \nL 238.209623 38.977025 \nL 241.832341 41.205687 \nL 245.342133 43.606392 \nL 248.724232 46.179082 \nL 251.964832 48.923556 \nL 255.051182 51.839474 \nL 257.971625 54.926314 \nL 260.715686 58.183321 \nL 263.274086 61.609422 \nL 265.638782 65.203241 \nL 267.802999 68.962984 \nL 269.761228 72.886435 \nL 271.509238 76.970896 \nL 273.044036 81.213121 \nL 274.363878 85.609275 \nL 275.468221 90.154913 \nL 276.357666 94.84493 \nL 277.033932 99.673509 \nL 277.499776 104.634107 \nL 277.758942 109.719414 \nL 277.816084 114.921332 \nL 277.676679 120.230966 \nL 277.258755 126.730968 \nL 276.57879 133.353683 \nL 275.649907 140.079041 \nL 274.486165 146.885296 \nL 273.102315 153.749053 \nL 271.229968 161.796051 \nL 269.103397 169.845087 \nL 266.747295 177.851483 \nL 264.186014 185.768368 \nL 261.443222 193.547073 \nL 258.541618 201.137568 \nL 255.50263 208.48891 \nL 252.346245 215.549838 \nL 249.090854 222.26933 \nL 245.753142 228.597251 \nL 242.838108 233.672592 \nL 239.882009 238.395074 \nL 236.892332 242.736806 \nL 233.875696 246.671654 \nL 231.34545 249.622471 \nL 228.803489 252.261279 \nL 226.252451 254.576623 \nL 223.694687 256.558383 \nL 221.645051 257.897698 \nL 219.593441 259.014125 \nL 217.540768 259.904511 \nL 215.487891 260.566357 \nL 213.435631 260.99782 \nL 211.384785 261.197712 \nL 209.336148 261.165562 \nL 207.290523 260.901526 \nL 205.248738 260.406501 \nL 203.211667 259.682014 \nL 201.180239 258.730282 \nL 199.155454 257.554169 \nL 197.138403 256.15717 \nL 194.629795 254.106651 \nL 192.137726 251.726873 \nL 189.6651 249.028554 \nL 187.215174 246.023738 \nL 184.791588 242.725632 \nL 181.92378 238.400993 \nL 179.107567 233.701223 \nL 176.351687 228.65462 \nL 173.665831 223.290867 \nL 171.060626 217.640763 \nL 168.138616 210.729252 \nL 165.361989 203.522019 \nL 162.752074 196.070366 \nL 160.33151 188.42526 \nL 158.12395 180.636826 \nL 156.153818 172.753806 \nL 154.672881 165.957283 \nL 153.400224 159.15406 \nL 152.351258 152.371073 \nL 151.541 145.633785 \nL 150.983829 138.966088 \nL 150.693259 132.390225 \nL 150.663784 126.995361 \nL 150.834614 121.689541 \nL 151.211542 116.482902 \nL 151.799526 111.384749 \nL 152.602649 106.403556 \nL 153.624021 101.547006 \nL 154.865708 96.821987 \nL 156.328655 92.234648 \nL 158.012651 87.790418 \nL 159.91627 83.494032 \nL 162.036831 79.349603 \nL 164.370367 75.360622 \nL 166.911606 71.530087 \nL 169.653975 67.860428 \nL 172.589584 64.35368 \nL 175.709264 61.011471 \nL 179.002566 57.835094 \nL 182.457826 54.825538 \nL 186.062195 51.983558 \nL 189.801712 49.309744 \nL 193.66137 46.804527 \nL 197.625193 44.468231 \nL 201.676332 42.301138 \nL 206.628099 39.924348 \nL 211.648492 37.792112 \nL 216.704711 35.905002 \nL 221.763164 34.26379 \nL 226.789779 32.86943 \nL 231.750336 31.723118 \nL 236.610796 30.826282 \nL 241.337637 30.180591 \nL 245.898189 29.787928 \nL 250.260946 29.65036 \nL 254.395886 29.77008 \nL 257.64721 30.068027 \nL 260.705419 30.547562 \nL 263.556347 31.209997 \nL 266.187011 32.056569 \nL 268.585701 33.088449 \nL 270.330608 34.048075 \nL 271.915725 35.127429 \nL 273.336984 36.326885 \nL 274.590905 37.646734 \nL 275.674641 39.08719 \nL 276.585951 40.64832 \nL 277.323227 42.330101 \nL 277.885467 44.132356 \nL 278.272304 46.05478 \nL 278.483973 48.096906 \nL 278.521312 50.258114 \nL 278.325044 53.12586 \nL 277.862656 56.176482 \nL 277.139475 59.407572 \nL 276.162086 62.816258 \nL 274.664638 67.136323 \nL 272.827748 71.700452 \nL 270.668801 76.500766 \nL 267.768545 82.387524 \nL 263.991237 89.472754 \nL 259.770398 96.912587 \nL 254.559573 105.666834 \nL 247.637243 116.84725 \nL 238.159191 131.683748 \nL 225.292042 151.381931 \nL 209.222559 175.58445 \nL 196.983702 193.654097 \nL 187.895805 206.685218 \nL 181.114058 216.054488 \nL 175.184007 223.889374 \nL 170.058037 230.307604 \nL 165.687477 235.456153 \nL 161.424701 240.132248 \nL 157.856577 243.740378 \nL 154.36709 246.960544 \nL 150.955685 249.777114 \nL 148.172087 251.806216 \nL 145.442085 253.539281 \nL 142.765579 254.971079 \nL 140.142658 256.097659 \nL 137.573677 256.916397 \nL 135.557739 257.348815 \nL 133.577201 257.583307 \nL 131.632702 257.62038 \nL 129.725035 257.461096 \nL 127.855193 257.107084 \nL 126.02435 256.560459 \nL 124.233875 255.82391 \nL 122.485353 254.900627 \nL 120.78057 253.794293 \nL 118.714191 252.160378 \nL 116.723738 250.256159 \nL 114.814179 248.091864 \nL 112.990999 245.67864 \nL 111.260288 243.028534 \nL 109.628577 240.154387 \nL 108.102949 237.06973 \nL 106.69095 233.788659 \nL 105.157753 229.612702 \nL 103.814165 225.200876 \nL 102.675353 220.579593 \nL 101.757024 215.775552 \nL 101.075236 210.815439 \nL 100.699508 206.581893 \nL 100.508737 202.27342 \nL 100.512235 197.904785 \nL 100.719136 193.490368 \nL 101.138277 189.044083 \nL 101.778154 184.57933 \nL 102.64675 180.108928 \nL 103.751536 175.645069 \nL 105.099279 171.199278 \nL 106.696045 166.78239 \nL 108.547003 162.40452 \nL 110.656402 158.075055 \nL 113.027488 153.802649 \nL 115.662395 149.595227 \nL 118.562086 145.459997 \nL 121.726296 141.403473 \nL 125.15344 137.431496 \nL 128.840647 133.549277 \nL 132.783585 129.761428 \nL 136.97655 126.072009 \nL 141.412413 122.484582 \nL 146.08257 119.002265 \nL 150.976984 115.627784 \nL 156.084187 112.363527 \nL 161.391283 109.211613 \nL 166.884034 106.173954 \nL 173.698324 102.68204 \nL 180.728058 99.360027 \nL 187.941391 96.210716 \nL 195.30421 93.236959 \nL 202.780343 90.44179 \nL 210.331827 87.828504 \nL 219.184385 85.014428 \nL 228.02099 82.459371 \nL 236.775387 80.170616 \nL 245.380547 78.156298 \nL 253.769438 76.425309 \nL 261.875844 74.987276 \nL 269.635184 73.852337 \nL 275.962632 73.128722 \nL 281.952108 72.642164 \nL 287.568472 72.399288 \nL 292.778998 72.406477 \nL 296.789384 72.60788 \nL 300.481327 72.990408 \nL 303.840674 73.556989 \nL 306.854919 74.310239 \nL 309.010531 75.048688 \nL 310.933652 75.908883 \nL 312.620371 76.891495 \nL 314.067505 77.996998 \nL 315.272645 79.225591 \nL 316.234173 80.57725 \nL 316.951256 82.05165 \nL 317.423818 83.648201 \nL 317.652536 85.366034 \nL 317.638837 87.203955 \nL 317.384877 89.160492 \nL 316.893521 91.233852 \nL 316.1683 93.421935 \nL 314.939366 96.31466 \nL 313.36113 99.377439 \nL 311.44451 102.604109 \nL 309.201725 105.987762 \nL 306.098685 110.244556 \nL 302.570125 114.701819 \nL 297.951377 120.133974 \nL 292.834576 125.789635 \nL 286.436699 132.488557 \nL 279.520148 139.392596 \nL 271.207945 147.341541 \nL 262.429813 155.409891 \nL 253.282373 163.518822 \nL 243.856943 171.587665 \nL 234.238184 179.535021 \nL 224.503124 187.279926 \nL 215.807905 193.930132 \nL 207.118 200.303767 \nL 198.470942 206.349393 \nL 190.965623 211.332164 \nL 183.537006 215.996704 \nL 176.201518 220.315507 \nL 169.998939 223.723363 \nL 163.883144 226.845276 \nL 157.861154 229.669308 \nL 151.939285 232.1854 \nL 146.123355 234.385498 \nL 141.361597 235.973126 \nL 136.680236 237.334721 \nL 132.082274 238.468971 \nL 127.57077 239.375569 \nL 123.148855 240.055255 \nL 118.819819 240.509795 \nL 114.587142 240.741962 \nL 110.454554 240.755518 \nL 106.426071 240.555194 \nL 102.506029 240.146634 \nL 98.699098 239.536364 \nL 95.010331 238.731721 \nL 91.445193 237.74084 \nL 88.00953 236.57253 \nL 84.709567 235.236263 \nL 81.551963 233.742048 \nL 78.543748 232.100429 \nL 75.69231 230.322322 \nL 73.005387 228.418991 \nL 70.491032 226.401942 \nL 68.157534 224.282838 \nL 66.013465 222.073443 \nL 64.067523 219.785493 \nL 62.328535 217.430652 \nL 60.805391 215.020409 \nL 59.506968 212.566024 \nL 58.442063 210.078422 \nL 57.619353 207.568166 \nL 57.047241 205.045355 \nL 56.733887 202.519596 \nL 56.687051 199.999923 \nL 56.914067 197.494764 \nL 57.297448 195.506342 \nL 57.863673 193.535879 \nL 58.6157 191.586759 \nL 59.556183 189.662084 \nL 60.687501 187.764643 \nL 62.011704 185.896928 \nL 63.940702 183.607403 \nL 66.176172 181.371353 \nL 68.7197 179.191675 \nL 71.571878 177.070563 \nL 74.732314 175.009534 \nL 78.199561 173.009454 \nL 81.971145 171.07058 \nL 86.893655 168.824257 \nL 92.240949 166.664114 \nL 98.002564 164.587736 \nL 104.165751 162.591933 \nL 111.843562 160.360244 \nL 120.019938 158.226283 \nL 129.934309 155.8979 \nL 140.405576 153.676981 \nL 152.777575 151.294326 \nL 167.149737 148.77654 \nL 183.558009 146.150956 \nL 201.94374 143.45171 \nL 222.118481 140.731089 \nL 242.197234 138.255662 \nL 260.315107 136.239277 \nL 276.306343 134.673481 \nL 290.133362 133.536166 \nL 301.85771 132.788112 \nL 311.610927 132.374295 \nL 320.657315 132.22488 \nL 327.939188 132.331608 \nL 333.676935 132.612674 \nL 338.92488 133.078855 \nL 343.662475 133.738708 \nL 347.207762 134.441896 \nL 350.37768 135.28828 \nL 353.165094 136.280675 \nL 355.115856 137.181118 \nL 356.816083 138.176979 \nL 358.264316 139.268542 \nL 359.4597 140.455718 \nL 360.402023 141.738028 \nL 361.091749 143.114588 \nL 361.529926 144.584114 \nL 361.718224 146.144905 \nL 361.658914 147.794842 \nL 361.354841 149.531396 \nL 360.809377 151.351622 \nL 360.026453 153.252163 \nL 358.720642 155.735023 \nL 357.060371 158.329277 \nL 355.056293 161.025801 \nL 352.719993 163.814588 \nL 349.495449 167.267613 \nL 345.83315 170.817686 \nL 341.757028 174.443208 \nL 337.291827 178.121334 \nL 332.462885 181.828186 \nL 327.295876 185.539058 \nL 321.816464 189.228645 \nL 316.050157 192.871294 \nL 310.022047 196.44123 \nL 303.756646 199.912827 \nL 297.277701 203.260827 \nL 290.608107 206.460617 \nL 283.769775 209.488481 \nL 276.783603 212.321803 \nL 269.669447 214.939339 \nL 262.446091 217.321404 \nL 256.356065 219.113594 \nL 250.212352 220.720452 \nL 244.024293 222.133647 \nL 237.800839 223.345937 \nL 231.550605 224.351178 \nL 225.281916 225.144427 \nL 219.00286 225.721933 \nL 212.721355 226.081176 \nL 206.445204 226.220885 \nL 200.18217 226.141052 \nL 193.940029 225.842931 \nL 187.726644 225.329029 \nL 181.55002 224.603061 \nL 175.418367 223.669961 \nL 169.340146 222.535827 \nL 163.324139 221.207861 \nL 157.379465 219.694317 \nL 151.515642 218.004472 \nL 144.599783 215.758339 \nL 137.832678 213.292262 \nL 131.233254 210.627027 \nL 124.821388 207.784748 \nL 118.617854 204.788653 \nL 112.644286 201.662834 \nL 106.92305 198.432014 \nL 101.477168 195.121278 \nL 96.330126 191.755817 \nL 91.505708 188.360683 \nL 87.027812 184.960556 \nL 82.920201 181.579476 \nL 79.206299 178.240647 \nL 75.908851 174.966193 \nL 73.049771 171.776975 \nL 71.017048 169.198453 \nL 69.314411 166.703011 \nL 67.952325 164.300191 \nL 66.940344 161.998651 \nL 66.388633 160.235565 \nL 66.070385 158.545777 \nL 65.989037 156.932397 \nL 66.147495 155.398128 \nL 66.54819 153.945261 \nL 67.192961 152.575673 \nL 68.083131 151.290826 \nL 69.219448 150.091778 \nL 70.602062 148.979181 \nL 72.230538 147.953294 \nL 74.103863 147.013991 \nL 76.787277 145.960832 \nL 79.846176 145.040414 \nL 83.274652 144.250173 \nL 87.065347 143.586786 \nL 92.079965 142.952478 \nL 97.586003 142.486931 \nL 104.603684 142.144776 \nL 112.22632 142.003671 \nL 121.626545 142.066355 \nL 133.000063 142.390122 \nL 146.50764 143.018816 \nL 162.249039 143.977798 \nL 181.762463 145.389182 \nL 206.619644 147.419945 \nL 233.326095 149.818906 \nL 258.030282 152.254945 \nL 277.340848 154.372418 \nL 292.889901 156.289305 \nL 306.236954 158.160806 \nL 317.503327 159.975346 \nL 326.857751 161.71123 \nL 334.492447 163.338453 \nL 341.58281 165.077735 \nL 347.207751 166.665009 \nL 352.400583 168.34693 \nL 357.149932 170.127916 \nL 360.762318 171.690225 \nL 364.056288 173.325048 \nL 367.028871 175.033107 \nL 369.678143 176.814454 \nL 372.003281 178.668428 \nL 374.004494 180.593624 \nL 375.373028 182.183624 \nL 376.53612 183.816346 \nL 377.49526 185.489975 \nL 378.252287 187.20237 \nL 378.809421 188.951054 \nL 379.16922 190.733218 \nL 379.334569 192.54573 \nL 379.30862 194.385141 \nL 379.094858 196.24768 \nL 378.569224 198.602151 \nL 377.763679 200.977803 \nL 376.686492 203.365393 \nL 375.346296 205.755053 \nL 373.752099 208.136379 \nL 371.913148 210.498454 \nL 369.838874 212.829935 \nL 367.53882 215.119151 \nL 365.022563 217.354123 \nL 361.731098 219.947362 \nL 358.15835 222.42377 \nL 354.3203 224.762137 \nL 350.232424 226.941445 \nL 346.645818 228.621183 \nL 342.904412 230.164591 \nL 339.016154 231.560469 \nL 334.988644 232.798144 \nL 330.829091 233.867462 \nL 326.544334 234.758961 \nL 322.140843 235.463848 \nL 317.624736 235.974139 \nL 313.001754 236.282694 \nL 308.277351 236.383255 \nL 303.45668 236.270558 \nL 298.544661 235.940295 \nL 293.546009 235.389204 \nL 288.465279 234.615076 \nL 283.306938 233.616799 \nL 278.075408 232.394341 \nL 272.775135 230.948738 \nL 267.410654 229.282182 \nL 261.986631 227.397886 \nL 255.406138 224.855438 \nL 248.756 222.015089 \nL 242.045991 218.888296 \nL 235.286781 215.488496 \nL 228.490105 211.83097 \nL 221.668888 207.932738 \nL 213.698848 203.105441 \nL 205.739873 198.007807 \nL 197.819772 192.674066 \nL 189.969223 187.140348 \nL 181.125532 180.61958 \nL 172.471266 173.944786 \nL 164.065601 167.175055 \nL 155.971778 160.369834 \nL 148.256427 153.588168 \nL 140.988686 146.887938 \nL 135.052066 141.136127 \nL 129.55969 135.525519 \nL 124.558538 130.090214 \nL 120.697499 125.595201 \nL 117.258601 121.271234 \nL 114.268059 117.135617 \nL 112.136092 113.844588 \nL 110.345437 110.703645 \nL 108.907964 107.720275 \nL 107.834191 104.901148 \nL 107.243211 102.768041 \nL 106.894859 100.746389 \nL 106.792466 98.838451 \nL 106.938652 97.04612 \nL 107.335362 95.37096 \nL 107.983812 93.814199 \nL 108.884456 92.376727 \nL 110.036999 91.059112 \nL 111.440373 89.861615 \nL 113.092748 88.784195 \nL 114.991505 87.826532 \nL 117.133259 86.988025 \nL 119.51388 86.26783 \nL 122.818071 85.532273 \nL 126.47666 84.977289 \nL 130.476798 84.599809 \nL 134.803994 84.396371 \nL 140.405634 84.376656 \nL 146.42459 84.595044 \nL 152.827705 85.044113 \nL 160.735968 85.849346 \nL 169.058609 86.945888 \nL 177.732567 88.321628 \nL 186.692464 89.96494 \nL 195.871409 91.864863 \nL 205.201789 94.011311 \nL 214.616041 96.395186 \nL 224.047397 99.008443 \nL 233.430604 101.844089 \nL 242.702598 104.896126 \nL 250.51574 107.680504 \nL 258.166857 110.617325 \nL 265.622007 113.704111 \nL 272.849518 116.938546 \nL 279.820178 120.31839 \nL 286.507372 123.8413 \nL 291.846173 126.884505 \nL 296.959152 130.023605 \nL 301.835364 133.256669 \nL 306.465291 136.581464 \nL 310.840814 139.995387 \nL 314.955211 143.495416 \nL 318.803186 147.078051 \nL 322.380786 150.739267 \nL 325.685442 154.474466 \nL 328.715865 158.278441 \nL 331.472013 162.145341 \nL 333.955048 166.068646 \nL 336.167295 170.04115 \nL 338.112095 174.05494 \nL 339.793793 178.101407 \nL 341.217662 182.171235 \nL 342.389749 186.254426 \nL 343.316882 190.340314 \nL 344.006482 194.417603 \nL 344.46656 198.4744 \nL 344.705542 202.498262 \nL 344.732221 206.476248 \nL 344.555667 210.394984 \nL 344.185129 214.24074 \nL 343.629929 217.999483 \nL 342.899412 221.656976 \nL 341.804424 225.892116 \nL 340.486046 229.935951 \nL 339.227769 233.141847 \nL 337.833465 236.183669 \nL 336.311261 239.047664 \nL 334.668938 241.720424 \nL 332.913746 244.189083 \nL 331.052514 246.441354 \nL 329.091551 248.465617 \nL 327.036652 250.251045 \nL 324.893058 251.787654 \nL 322.665463 253.066412 \nL 320.358041 254.079265 \nL 318.457086 254.693371 \nL 316.508967 255.129764 \nL 314.5151 255.385873 \nL 312.47669 255.459571 \nL 310.394752 255.349298 \nL 308.27011 255.05395 \nL 305.55526 254.423673 \nL 302.775684 253.503337 \nL 299.931989 252.294193 \nL 297.024508 250.798717 \nL 294.053336 249.020593 \nL 291.018389 246.964661 \nL 287.291961 244.139367 \nL 283.472911 240.935189 \nL 279.56078 237.366639 \nL 274.878647 232.764906 \nL 270.069656 227.718968 \nL 264.41988 221.449566 \nL 257.872693 213.817856 \nL 250.372717 204.712265 \nL 241.09086 193.071017 \nL 229.143593 177.715696 \nL 211.278005 154.356528 \nL 193.717513 131.063634 \nL 182.444056 115.776002 \nL 174.129152 104.129644 \nL 167.838729 94.926447 \nL 163.309885 87.941836 \nL 159.292433 81.32659 \nL 156.240563 75.862587 \nL 153.996594 71.432813 \nL 152.117054 67.246464 \nL 150.619807 63.311183 \nL 149.675434 60.228295 \nL 149.015045 57.327501 \nL 148.64495 54.611483 \nL 148.561239 52.573217 \nL 148.668326 50.655541 \nL 148.967421 48.859163 \nL 149.459083 47.18463 \nL 150.143218 45.632315 \nL 151.019075 44.202418 \nL 152.085222 42.894997 \nL 153.339566 41.70996 \nL 154.779333 40.647084 \nL 156.401098 39.706035 \nL 158.200774 38.886359 \nL 160.693301 38.03161 \nL 163.445781 37.364393 \nL 166.446174 36.883289 \nL 169.68103 36.586754 \nL 173.135616 36.473127 \nL 177.548643 36.57583 \nL 182.225485 36.936508 \nL 187.134589 37.5522 \nL 192.242735 38.420064 \nL 197.515387 39.53738 \nL 202.917017 40.901648 \nL 208.411466 42.510577 \nL 213.962297 44.362141 \nL 219.533139 46.454548 \nL 225.088043 48.786179 \nL 230.591811 51.355639 \nL 236.010318 54.161658 \nL 240.436934 56.679825 \nL 244.763494 59.360687 \nL 248.972811 62.20348 \nL 253.048706 65.207334 \nL 256.976087 68.371234 \nL 260.741012 71.693985 \nL 264.330768 75.174128 \nL 267.733906 78.809926 \nL 270.940307 82.599279 \nL 273.941187 86.539673 \nL 276.729114 90.628139 \nL 279.298037 94.861187 \nL 281.643252 99.234766 \nL 283.761387 103.744199 \nL 285.650403 108.384159 \nL 287.309512 113.148604 \nL 288.739163 118.030747 \nL 289.940953 123.023045 \nL 290.917591 128.117143 \nL 291.672811 133.303865 \nL 292.211294 138.573213 \nL 292.538568 143.914344 \nL 292.660955 149.315582 \nL 292.585431 154.764427 \nL 292.319586 160.24757 \nL 291.760734 166.852729 \nL 290.954148 173.461206 \nL 289.915109 180.045828 \nL 288.659263 186.578137 \nL 287.202442 193.028552 \nL 285.560398 199.366571 \nL 283.748677 205.560967 \nL 281.782445 211.580058 \nL 279.676307 217.391939 \nL 277.444209 222.964767 \nL 275.099353 228.267054 \nL 272.654048 233.267958 \nL 270.119706 237.937612 \nL 267.506795 242.247425 \nL 265.276219 245.544493 \nL 263.002649 248.558191 \nL 260.690608 251.27489 \nL 258.344161 253.682061 \nL 255.966934 255.768425 \nL 254.045174 257.1998 \nL 252.107274 258.414995 \nL 250.154564 259.410134 \nL 248.188251 260.181995 \nL 246.209415 260.727965 \nL 244.219041 261.046099 \nL 242.218013 261.135097 \nL 240.207141 260.994358 \nL 238.187177 260.623917 \nL 236.158825 260.024505 \nL 234.122758 259.197507 \nL 232.079637 258.144957 \nL 230.030125 256.86957 \nL 227.460291 254.967086 \nL 224.882955 252.729475 \nL 222.299665 250.165991 \nL 219.71215 247.287262 \nL 217.122364 244.105149 \nL 214.014778 239.904596 \nL 210.911578 235.310533 \nL 207.817931 230.3494 \nL 204.22877 224.135031 \nL 200.671768 217.506188 \nL 197.159643 210.511566 \nL 193.219401 202.133877 \nL 189.381243 193.419023 \nL 185.672641 184.442285 \nL 182.123842 175.277762 \nL 178.767574 165.997479 \nL 175.638605 156.670543 \nL 172.773199 147.362474 \nL 170.51133 139.281739 \nL 168.50462 131.300737 \nL 166.777655 123.454858 \nL 165.538125 116.862022 \nL 164.535885 110.410982 \nL 163.784297 104.118748 \nL 163.295589 98.000703 \nL 163.097043 93.04538 \nL 163.094147 88.227754 \nL 163.291567 83.554224 \nL 163.693071 79.030489 \nL 164.301465 74.661579 \nL 165.118515 70.451853 \nL 166.144913 66.405071 \nL 167.380209 62.524421 \nL 168.822798 58.812551 \nL 170.469847 55.271627 \nL 172.317338 51.903344 \nL 174.360031 48.70902 \nL 176.591448 45.689577 \nL 179.003908 42.845679 \nL 181.588557 40.177676 \nL 184.335389 37.685724 \nL 187.233304 35.369774 \nL 190.270151 33.229677 \nL 193.432802 31.26515 \nL 196.707229 29.475861 \nL 200.078581 27.86147 \nL 203.531279 26.42162 \nL 207.759039 24.923786 \nL 212.051585 23.676448 \nL 216.37912 22.679367 \nL 220.711317 21.932509 \nL 225.017621 21.436106 \nL 229.267539 21.190614 \nL 233.430951 21.196757 \nL 237.478402 21.455481 \nL 240.742099 21.864846 \nL 243.8896 22.451159 \nL 246.90575 23.215242 \nL 249.776212 24.157967 \nL 252.487529 25.280197 \nL 255.027236 26.582796 \nL 257.383922 28.066567 \nL 259.547306 29.732243 \nL 261.508287 31.580454 \nL 262.926015 33.190769 \nL 264.205712 34.918372 \nL 265.34445 36.763337 \nL 266.339856 38.725648 \nL 267.190086 40.805155 \nL 268.046774 43.568962 \nL 268.673243 46.514707 \nL 269.069388 49.641235 \nL 269.236354 52.947003 \nL 269.176506 56.430051 \nL 268.893351 60.087955 \nL 268.3915 63.917818 \nL 267.508618 68.735797 \nL 266.330538 73.789555 \nL 264.870566 79.070998 \nL 262.830909 85.507976 \nL 260.453695 92.225202 \nL 257.359204 100.220222 \nL 253.90369 108.522951 \nL 249.64067 118.184746 \nL 244.513173 129.248552 \nL 238.497823 141.711376 \nL 231.027074 156.652802 \nL 223.319353 171.586514 \nL 215.51531 186.239857 \nL 208.325336 199.267147 \nL 202.396147 209.583463 \nL 197.135548 218.328534 \nL 192.533411 225.591247 \nL 188.0094 232.304937 \nL 184.119398 237.680225 \nL 180.837972 241.885859 \nL 177.606366 245.696878 \nL 174.425154 249.092871 \nL 171.81288 251.592659 \nL 169.235977 253.782373 \nL 166.694574 255.65406 \nL 164.188876 257.201111 \nL 161.719197 258.41829 \nL 159.769704 259.151942 \nL 157.843903 259.670758 \nL 155.942245 259.974092 \nL 154.065295 260.06191 \nL 152.213735 259.934794 \nL 150.38842 259.59393 \nL 148.59035 259.041129 \nL 146.820687 258.278789 \nL 145.080785 257.30989 \nL 143.372186 256.137994 \nL 141.283108 254.393988 \nL 139.249502 252.348458 \nL 137.275713 250.011813 \nL 135.366603 247.395626 \nL 133.527547 244.512489 \nL 131.764449 241.375925 \nL 129.75804 237.297864 \nL 127.882232 232.901834 \nL 126.149977 228.215304 \nL 124.575039 223.266648 \nL 123.171972 218.084881 \nL 121.955944 212.699416 \nL 120.94259 207.139729 \nL 120.147869 201.43512 \nL 119.587882 195.614469 \nL 119.278608 189.706006 \nL 119.223738 184.734965 \nL 119.362726 179.737229 \nL 119.704048 174.727505 \nL 120.255749 169.719865 \nL 121.025302 164.727701 \nL 122.019598 159.763685 \nL 123.244758 154.839741 \nL 124.706098 149.967024 \nL 126.407985 145.155905 \nL 128.353832 140.41597 \nL 130.545916 135.756027 \nL 132.985381 131.184112 \nL 135.672156 126.707513 \nL 138.604858 122.332801 \nL 141.780769 118.065861 \nL 145.19581 113.911923 \nL 148.844473 109.875626 \nL 152.719841 105.961045 \nL 156.813531 102.171766 \nL 161.11575 98.510911 \nL 165.615266 94.981218 \nL 170.299466 91.585109 \nL 175.154363 88.324712 \nL 180.164674 85.201936 \nL 185.313875 82.218545 \nL 191.651253 78.824752 \nL 198.130452 75.63677 \nL 204.716825 72.657289 \nL 211.373971 69.889123 \nL 218.064039 67.335228 \nL 224.748032 64.998791 \nL 231.386156 62.883273 \nL 239.018961 60.699429 \nL 246.470552 58.827875 \nL 253.677601 57.275602 \nL 259.613489 56.204823 \nL 265.286578 55.378937 \nL 270.660837 54.802851 \nL 275.702177 54.481495 \nL 280.378818 54.419709 \nL 283.976306 54.569811 \nL 287.284863 54.905852 \nL 290.290636 55.430114 \nL 292.981359 56.144606 \nL 294.89993 56.854341 \nL 296.605415 57.68764 \nL 298.093916 58.645074 \nL 299.362266 59.727035 \nL 300.408034 60.933722 \nL 301.229549 62.265142 \nL 301.825894 63.721096 \nL 302.196886 65.301154 \nL 302.343083 67.004683 \nL 302.265762 68.830796 \nL 301.966921 70.77838 \nL 301.44923 72.846042 \nL 300.499513 75.596999 \nL 299.221006 78.529312 \nL 297.623061 81.638649 \nL 295.299044 85.596433 \nL 292.551332 89.792101 \nL 289.402956 94.214574 \nL 285.256864 99.644273 \nL 279.946719 106.179163 \nL 274.090517 113.031162 \nL 266.935175 121.069749 \nL 258.396529 130.339992 \nL 247.515077 141.811467 \nL 235.186456 154.482969 \nL 221.566713 168.161749 \nL 208.838479 180.645177 \nL 197.184122 191.77161 \nL 187.628524 200.615614 \nL 179.19711 208.150877 \nL 170.95661 215.209344 \nL 163.810616 221.028505 \nL 157.706068 225.732858 \nL 151.74632 230.047519 \nL 146.75679 233.417372 \nL 141.879384 236.469911 \nL 137.115966 239.193566 \nL 132.468144 241.578673 \nL 127.937461 243.617521 \nL 124.252489 245.047932 \nL 120.650979 246.231807 \nL 117.134137 247.168049 \nL 113.703378 247.856624 \nL 110.360362 248.298522 \nL 107.107109 248.4958 \nL 103.945954 248.451546 \nL 100.879624 248.169828 \nL 97.911301 247.655702 \nL 95.044589 246.91517 \nL 92.283547 245.955128 \nL 89.632732 244.783299 \nL 87.097153 243.408189 \nL 84.682296 241.839023 \nL 82.394144 240.085662 \nL 80.239113 238.158548 \nL 78.224073 236.068598 \nL 76.356288 233.827177 \nL 74.643387 231.445929 \nL 73.093352 228.936786 \nL 71.714448 226.311808 \nL 70.515122 223.583131 \nL 69.504051 220.762896 \nL 68.689987 217.863152 \nL 68.081757 214.89577 \nL 67.688101 211.872397 \nL 67.517699 208.804355 \nL 67.579027 205.702585 \nL 67.88032 202.577601 \nL 68.429442 199.439414 \nL 69.233855 196.297508 \nL 70.300505 193.160777 \nL 71.635743 190.037518 \nL 73.245299 186.935379 \nL 75.134108 183.861349 \nL 77.306337 180.821762 \nL 79.765272 177.822267 \nL 82.513249 174.867858 \nL 85.55161 171.962874 \nL 88.880652 169.111019 \nL 92.499539 166.315392 \nL 96.406358 163.578514 \nL 100.598002 160.902376 \nL 105.070158 158.288477 \nL 109.817319 155.737875 \nL 115.867288 152.76163 \nL 122.289434 149.878035 \nL 129.067188 147.087118 \nL 136.181434 144.388531 \nL 144.877768 141.356133 \nL 153.964233 138.447712 \nL 163.398136 135.662578 \nL 173.132749 133.00061 \nL 184.561314 130.110182 \nL 196.23581 127.384566 \nL 209.556497 124.521886 \nL 222.95106 121.885987 \nL 236.28583 119.492836 \nL 249.423923 117.362912 \nL 262.227282 115.520939 \nL 273.216203 114.148295 \nL 283.73817 113.047528 \nL 293.702416 112.241814 \nL 301.895789 111.797506 \nL 309.542138 111.613086 \nL 315.622825 111.673477 \nL 321.236213 111.945155 \nL 326.356449 112.436506 \nL 330.230015 113.019209 \nL 333.733676 113.763436 \nL 336.857529 114.672354 \nL 339.077577 115.519761 \nL 341.045854 116.47512 \nL 342.759643 117.539059 \nL 344.216966 118.71186 \nL 345.416589 119.993456 \nL 346.35796 121.383424 \nL 347.041228 122.880962 \nL 347.467271 124.484877 \nL 347.637652 126.193594 \nL 347.554602 128.005135 \nL 347.220996 129.917119 \nL 346.640332 131.926774 \nL 345.816703 134.030927 \nL 344.754757 136.226007 \nL 343.10014 139.091673 \nL 341.09249 142.084665 \nL 338.744077 145.195545 \nL 336.068147 148.41403 \nL 332.444556 152.40259 \nL 328.39525 156.50955 \nL 323.946962 160.712968 \nL 319.127216 164.989693 \nL 313.072088 170.039552 \nL 306.594237 175.116455 \nL 299.738142 180.179542 \nL 292.547437 185.187353 \nL 285.064481 190.098324 \nL 277.329955 194.871301 \nL 270.529518 198.822033 \nL 263.595795 202.617218 \nL 256.550618 206.233285 \nL 249.414537 209.647868 \nL 242.206806 212.839997 \nL 234.945437 215.790336 \nL 227.647256 218.481321 \nL 221.548685 220.514375 \nL 215.444043 222.348544 \nL 209.341461 223.976989 \nL 203.248694 225.39399 \nL 197.173177 226.594986 \nL 191.122099 227.576594 \nL 185.102453 228.336643 \nL 179.12111 228.87417 \nL 173.184884 229.189458 \nL 167.300595 229.283975 \nL 161.475136 229.16042 \nL 155.715509 228.822645 \nL 150.028927 228.275662 \nL 144.422806 227.5256 \nL 138.904872 226.579621 \nL 133.483147 225.445914 \nL 128.165999 224.13357 \nL 122.962185 222.652567 \nL 116.880103 220.667943 \nL 110.990917 218.475905 \nL 105.311993 216.097609 \nL 99.861439 213.555236 \nL 94.6581 210.871734 \nL 89.721416 208.070596 \nL 85.071353 205.175588 \nL 80.728249 202.210518 \nL 76.71262 199.198991 \nL 73.045036 196.164182 \nL 69.745865 193.128585 \nL 66.835076 190.113816 \nL 64.720106 187.63226 \nL 62.899072 185.190655 \nL 61.382249 182.799525 \nL 60.179297 180.468658 \nL 59.299222 178.207029 \nL 58.833161 176.453074 \nL 58.582795 174.752415 \nL 58.551581 173.108441 \nL 58.742553 171.524157 \nL 59.158321 170.002181 \nL 59.801042 168.544742 \nL 60.672439 167.153682 \nL 61.773726 165.830447 \nL 63.105656 164.576102 \nL 64.66846 163.391329 \nL 66.461863 162.276438 \nL 69.026669 160.980986 \nL 71.94786 159.793758 \nL 75.221492 158.713082 \nL 78.842367 157.736531 \nL 83.636596 156.697671 \nL 88.908071 155.797627 \nL 94.640913 155.028675 \nL 101.887926 154.285635 \nL 110.866601 153.621108 \nL 120.535341 153.130614 \nL 132.161799 152.756182 \nL 147.31569 152.504831 \nL 166.322355 152.424358 \nL 194.014829 152.556283 \nL 233.538437 152.980598 \nL 266.03277 153.521488 \nL 286.565936 154.058655 \nL 303.083726 154.711436 \nL 315.904965 155.445602 \nL 326.600367 156.293794 \nL 335.367628 157.224533 \nL 342.425825 158.19374 \nL 348.8802 159.321952 \nL 353.912227 160.424943 \nL 358.467814 161.660527 \nL 361.891924 162.795457 \nL 364.972006 164.02875 \nL 367.704011 165.36214 \nL 370.085096 166.796597 \nL 371.736203 168.01706 \nL 373.161415 169.302002 \nL 374.360963 170.650748 \nL 375.335536 172.062255 \nL 376.086305 173.535099 \nL 376.614921 175.067485 \nL 376.923423 176.65723 \nL 377.014316 178.301777 \nL 376.890486 179.998192 \nL 376.555231 181.743165 \nL 376.012187 183.533025 \nL 375.047265 185.827306 \nL 373.77233 188.176797 \nL 372.196483 190.572092 \nL 370.329416 193.003051 \nL 368.181319 195.458842 \nL 365.762783 197.928024 \nL 362.518948 200.891803 \nL 358.920704 203.835979 \nL 354.987576 206.738196 \nL 350.73917 209.575536 \nL 346.19502 212.324779 \nL 341.374344 214.962612 \nL 336.295903 217.465878 \nL 330.97793 219.811816 \nL 325.438047 221.978319 \nL 319.693081 223.944141 \nL 314.760571 225.414474 \nL 309.705702 226.720484 \nL 304.536991 227.851936 \nL 299.262557 228.799426 \nL 293.890159 229.554378 \nL 288.427263 230.109205 \nL 282.880996 230.457291 \nL 277.258263 230.59309 \nL 271.565735 230.512178 \nL 265.809935 230.211235 \nL 259.99729 229.688127 \nL 254.134175 228.941916 \nL 248.226986 227.972851 \nL 242.282206 226.782394 \nL 236.306472 225.373171 \nL 230.306636 223.749022 \nL 224.289829 221.914915 \nL 218.263531 219.876968 \nL 211.030573 217.172539 \nL 203.809826 214.199346 \nL 196.61687 210.973793 \nL 189.468463 207.514134 \nL 182.382635 203.840316 \nL 175.378729 199.973795 \nL 168.477444 195.937327 \nL 160.58512 191.045227 \nL 152.899777 185.993739 \nL 145.460947 180.823432 \nL 138.310187 175.575563 \nL 131.490776 170.29159 \nL 125.047262 165.012694 \nL 119.024987 159.779298 \nL 113.469512 154.630628 \nL 109.113491 150.313459 \nL 105.161463 146.108676 \nL 101.640361 142.037494 \nL 98.575881 138.119694 \nL 96.388378 134.985216 \nL 94.547684 131.979567 \nL 93.065679 129.11153 \nL 92.145574 126.921509 \nL 91.466809 124.828237 \nL 91.033716 122.834942 \nL 90.850028 120.94447 \nL 90.91884 119.159265 \nL 91.242605 117.481395 \nL 91.823078 115.912527 \nL 92.661347 114.453945 \nL 93.757762 113.10657 \nL 95.111942 111.870938 \nL 96.722809 110.747239 \nL 98.588523 109.735311 \nL 100.706495 108.834664 \nL 103.073426 108.044503 \nL 106.375968 107.21047 \nL 110.051723 106.544598 \nL 114.089571 106.043542 \nL 118.476774 105.703417 \nL 124.182366 105.501557 \nL 130.342937 105.516947 \nL 136.928297 105.740743 \nL 145.104314 106.252881 \nL 153.758157 107.021007 \nL 164.157335 108.192974 \nL 175.010593 109.657616 \nL 186.221985 111.394171 \nL 197.69359 113.383602 \nL 209.326884 115.609015 \nL 221.024007 118.055953 \nL 232.688992 120.712534 \nL 244.228906 123.569438 \nL 255.554892 126.619792 \nL 265.223601 129.443806 \nL 274.611739 132.410308 \nL 283.6706 135.518119 \nL 291.139375 138.293924 \nL 298.307925 141.172799 \nL 305.153255 144.154445 \nL 311.65491 147.238377 \nL 317.795053 150.42376 \nL 322.624651 153.154797 \nL 327.185237 155.954253 \nL 331.470734 158.820638 \nL 335.476311 161.752031 \nL 339.198395 164.74603 \nL 342.634629 167.799709 \nL 345.783861 170.909574 \nL 348.64607 174.071528 \nL 351.222334 177.280848 \nL 353.514788 180.53216 \nL 355.526529 183.819422 \nL 357.261595 187.135929 \nL 358.72486 190.474306 \nL 359.921966 193.826521 \nL 360.859247 197.183893 \nL 361.543667 200.53713 \nL 361.982711 203.87636 \nL 362.184317 207.191163 \nL 362.156792 210.470629 \nL 361.908699 213.703399 \nL 361.448832 216.877747 \nL 360.786059 219.981608 \nL 359.929334 223.002695 \nL 358.887556 225.928542 \nL 357.669521 228.746589 \nL 356.283831 231.444294 \nL 354.738891 234.009164 \nL 353.042797 236.428903 \nL 351.203329 238.691443 \nL 349.227854 240.785071 \nL 347.123348 242.698487 \nL 344.896334 244.420918 \nL 342.552847 245.94217 \nL 340.098468 247.252729 \nL 337.538229 248.343805 \nL 334.876727 249.207428 \nL 332.118 249.836492 \nL 329.265643 250.224805 \nL 326.322741 250.367154 \nL 323.291948 250.259347 \nL 320.175515 249.89822 \nL 316.975271 249.281665 \nL 313.692738 248.408679 \nL 310.3291 247.279326 \nL 306.885266 245.894745 \nL 303.361987 244.257169 \nL 299.759848 242.369868 \nL 295.333873 239.781622 \nL 290.79586 236.849367 \nL 286.146717 233.584392 \nL 280.583885 229.372374 \nL 274.874107 224.749253 \nL 269.021203 219.741733 \nL 262.163914 213.585747 \nL 254.248386 206.164596 \nL 245.229399 197.387637 \nL 235.083083 187.206867 \nL 222.882648 174.654147 \nL 208.714733 159.765932 \nL 193.817454 143.798556 \nL 181.300225 130.078999 \nL 171.220257 118.717749 \nL 163.449369 109.648422 \nL 157.062026 101.867382 \nL 151.94727 95.299208 \nL 147.959885 89.848873 \nL 144.471254 84.696991 \nL 141.907099 80.532457 \nL 139.759583 76.610691 \nL 138.302555 73.53446 \nL 137.158659 70.637501 \nL 136.336588 67.923708 \nL 135.915567 65.886795 \nL 135.708169 63.970647 \nL 135.716731 62.176452 \nL 135.942907 60.505148 \nL 136.387642 58.957473 \nL 137.051181 57.533951 \nL 137.933021 56.234873 \nL 139.031941 55.060345 \nL 140.345976 54.010303 \nL 141.872423 53.084454 \nL 143.607865 52.282376 \nL 145.548141 51.603504 \nL 148.254091 50.927065 \nL 151.261471 50.440316 \nL 154.557692 50.141324 \nL 158.128606 50.027921 \nL 162.754278 50.133538 \nL 167.723577 50.498807 \nL 173.004591 51.119296 \nL 178.563252 51.990548 \nL 184.363662 53.108121 \nL 190.368441 54.467682 \nL 196.539117 56.065097 \nL 202.836486 57.896448 \nL 209.220988 59.958082 \nL 215.65308 62.246647 \nL 222.093609 64.759003 \nL 228.504154 67.492295 \nL 234.847378 70.443876 \nL 241.087335 73.611221 \nL 247.189769 76.991857 \nL 252.146716 79.970192 \nL 256.968175 83.0934 \nL 261.637761 86.359819 \nL 266.140322 89.767654 \nL 270.461995 93.314858 \nL 274.590239 96.99911 \nL 278.513913 100.817742 \nL 282.223276 104.767694 \nL 285.710003 108.845452 \nL 288.967221 113.046993 \nL 291.989447 117.367726 \nL 294.772612 121.802469 \nL 297.314026 126.345365 \nL 299.612309 130.989872 \nL 301.667388 135.728718 \nL 303.480399 140.55387 \nL 305.05362 145.45652 \nL 306.390433 150.42706 \nL 307.49523 155.455085 \nL 308.373265 160.529392 \nL 309.030678 165.637986 \nL 309.474278 170.768106 \nL 309.711547 175.906248 \nL 309.750509 181.038201 \nL 309.599588 186.1491 \nL 309.180278 192.232567 \nL 308.515878 198.235679 \nL 307.622326 204.129746 \nL 306.515669 209.885378 \nL 305.211771 215.472683 \nL 303.726251 220.861514 \nL 302.074219 226.021747 \nL 300.270203 230.923569 \nL 298.32794 235.537729 \nL 296.260346 239.835871 \nL 294.079407 243.7908 \nL 292.183336 246.80581 \nL 290.222009 249.550624 \nL 288.200754 252.012243 \nL 286.12435 254.178697 \nL 283.997092 256.039202 \nL 282.261249 257.30085 \nL 280.49703 258.356239 \nL 278.705984 259.201666 \nL 276.889453 259.833968 \nL 275.048632 260.250604 \nL 273.18454 260.44965 \nL 271.298056 260.429777 \nL 269.389924 260.190321 \nL 267.460762 259.731224 \nL 265.511078 259.053066 \nL 263.541279 258.15706 \nL 261.551725 257.045024 \nL 259.037395 255.354968 \nL 256.493066 253.337288 \nL 253.919127 250.999431 \nL 251.315968 248.350213 \nL 248.154228 244.774358 \nL 244.952008 240.78424 \nL 241.710606 236.401675 \nL 237.881849 230.824461 \nL 234.006041 224.786127 \nL 229.525661 217.376088 \nL 224.432843 208.471809 \nL 219.303228 199.062212 \nL 213.590676 188.137757 \nL 207.340268 175.7104 \nL 200.640404 161.868255 \nL 194.695735 149.103405 \nL 189.035396 136.430783 \nL 184.222407 125.11374 \nL 180.231087 115.179403 \nL 177.004822 106.603246 \nL 174.125373 98.308997 \nL 171.92281 91.311282 \nL 170.043699 84.578483 \nL 168.709158 79.03268 \nL 167.644507 73.705705 \nL 166.862492 68.606631 \nL 166.374175 63.743277 \nL 166.198308 59.875353 \nL 166.23709 56.178989 \nL 166.493719 52.656909 \nL 166.970297 49.311354 \nL 167.667745 46.144142 \nL 168.585793 43.15665 \nL 169.722935 40.349884 \nL 171.076418 37.724516 \nL 172.642202 35.28091 \nL 174.415007 33.019167 \nL 176.388294 30.939137 \nL 178.554302 29.04048 \nL 180.904073 27.322722 \nL 183.427499 25.785242 \nL 186.113384 24.427349 \nL 188.949503 23.248298 \nL 191.92267 22.247307 \nL 195.018839 21.423612 \nL 198.223171 20.776476 \nL 201.520152 20.305242 \nL 205.576122 19.971128 \nL 209.713606 19.88863 \nL 213.903212 20.057128 \nL 218.115142 20.476264 \nL 222.319482 21.145913 \nL 226.486497 22.066233 \nL 230.58692 23.237581 \nL 233.932473 24.405857 \nL 237.195997 25.749264 \nL 240.362126 27.268267 \nL 243.416195 28.963345 \nL 246.344322 30.83499 \nL 249.133512 32.883658 \nL 251.771712 35.109723 \nL 254.247898 37.513474 \nL 256.552122 40.095021 \nL 258.675558 42.854338 \nL 260.610552 45.791125 \nL 262.350636 48.904836 \nL 263.890556 52.194624 \nL 265.226264 55.659235 \nL 266.354945 59.297067 \nL 267.274954 63.106053 \nL 267.985821 67.083652 \nL 268.488233 71.226778 \nL 268.783945 75.531818 \nL 268.875768 79.994548 \nL 268.767487 84.610127 \nL 268.463794 89.37304 \nL 267.849275 95.274259 \nL 266.972376 101.366621 \nL 265.845477 107.636566 \nL 264.482112 114.068957 \nL 262.612022 121.756339 \nL 260.464007 129.612721 \nL 258.063147 137.605884 \nL 255.042391 146.863267 \nL 251.762638 156.196576 \nL 248.261067 165.544598 \nL 244.101065 175.997391 \nL 239.753217 186.288222 \nL 235.261193 196.314861 \nL 231.178922 204.920762 \nL 227.037777 213.160398 \nL 222.858717 220.95958 \nL 219.185038 227.365354 \nL 215.506118 233.331189 \nL 212.355043 238.060544 \nL 209.210829 242.407074 \nL 206.077245 246.346007 \nL 203.476343 249.300625 \nL 200.886592 251.944489 \nL 198.309358 254.266914 \nL 195.745866 256.258536 \nL 193.197237 257.911411 \nL 191.169762 258.985395 \nL 189.153035 259.835769 \nL 187.147628 260.460542 \nL 185.154138 260.858385 \nL 183.173217 261.028609 \nL 181.205582 260.971198 \nL 179.252027 260.686816 \nL 177.313443 260.176757 \nL 175.390832 259.442981 \nL 173.485318 258.488079 \nL 171.598163 257.315294 \nL 169.730778 255.92848 \nL 167.426745 253.900789 \nL 165.159485 251.555528 \nL 162.932867 248.903936 \nL 160.75121 245.958407 \nL 158.619296 242.732481 \nL 156.542395 239.240683 \nL 154.130857 234.721348 \nL 151.817669 229.869483 \nL 149.614623 224.714505 \nL 147.534413 219.286774 \nL 145.59057 213.617353 \nL 143.797367 207.737689 \nL 142.169705 201.679329 \nL 140.722983 195.473631 \nL 139.472914 189.151502 \nL 138.435375 182.743174 \nL 137.626221 176.277973 \nL 137.061054 169.784124 \nL 136.755025 163.288594 \nL 136.7084 157.89285 \nL 136.859665 152.527695 \nL 137.216161 147.206342 \nL 137.784589 141.941202 \nL 138.570933 136.743869 \nL 139.580339 131.625104 \nL 140.817047 126.594845 \nL 142.284302 121.662195 \nL 143.984275 116.83545 \nL 145.918003 112.122115 \nL 148.085306 107.528932 \nL 150.484746 103.061907 \nL 153.113581 98.72636 \nL 155.967709 94.526948 \nL 159.041676 90.467735 \nL 162.328638 86.552224 \nL 165.820371 82.783425 \nL 169.507261 79.163905 \nL 173.37834 75.695841 \nL 177.421325 72.381059 \nL 181.622651 69.221118 \nL 185.967536 66.217348 \nL 190.440041 63.370919 \nL 195.023152 60.682868 \nL 200.643477 57.667609 \nL 206.364349 54.883389 \nL 212.151444 52.331835 \nL 217.969166 50.014681 \nL 223.780976 47.933813 \nL 229.54971 46.09133 \nL 235.237944 44.489573 \nL 240.808329 43.131108 \nL 246.22397 42.018764 \nL 251.448782 41.155565 \nL 256.447833 40.544705 \nL 261.187714 40.189522 \nL 265.636848 40.093352 \nL 269.101061 40.213496 \nL 272.32716 40.517726 \nL 275.300683 41.00782 \nL 278.008567 41.685438 \nL 280.439195 42.552058 \nL 282.177253 43.382293 \nL 283.726976 44.334855 \nL 285.084612 45.41015 \nL 286.247091 46.608494 \nL 287.212029 47.930036 \nL 287.977734 49.374784 \nL 288.543218 50.942605 \nL 288.90816 52.63316 \nL 289.072928 54.445957 \nL 289.038575 56.38031 \nL 288.806792 58.435337 \nL 288.243019 61.172157 \nL 287.380333 64.093255 \nL 286.226025 67.195552 \nL 284.788731 70.47542 \nL 282.70441 74.639739 \nL 280.245993 79.045497 \nL 276.933393 84.478113 \nL 273.177104 90.209643 \nL 268.391145 97.10153 \nL 262.451656 105.252268 \nL 254.520387 115.71405 \nL 244.405946 128.652733 \nL 230.380786 146.206674 \nL 211.674191 169.260008 \nL 195.661124 188.665202 \nL 185.018583 201.249008 \nL 176.293685 211.240768 \nL 169.374071 218.858552 \nL 163.400239 225.14168 \nL 157.598775 230.91242 \nL 152.666255 235.504657 \nL 147.86877 239.640419 \nL 143.864155 242.802866 \nL 139.958562 245.597604 \nL 136.15171 248.012861 \nL 133.054642 249.728726 \nL 130.026069 251.170062 \nL 127.066212 252.333682 \nL 124.175548 253.217576 \nL 121.354785 253.820924 \nL 118.605064 254.144097 \nL 115.927823 254.1887 \nL 113.324975 253.95747 \nL 111.297812 253.576503 \nL 108.835093 252.859471 \nL 106.454568 251.880495 \nL 104.159979 250.646564 \nL 101.955607 249.165731 \nL 99.846281 247.446961 \nL 97.837362 245.500123 \nL 95.934737 243.335861 \nL 94.14479 240.965555 \nL 92.474413 238.401209 \nL 90.930974 235.655365 \nL 89.522231 232.741032 \nL 88.256386 229.671558 \nL 87.141949 226.460557 \nL 86.187703 223.121813 \nL 85.402655 219.669164 \nL 84.795978 216.116428 \nL 84.376923 212.477334 \nL 84.154737 208.765402 \nL 84.138596 204.993875 \nL 84.337517 201.175658 \nL 84.760283 197.323224 \nL 85.415307 193.448588 \nL 86.310592 189.563217 \nL 87.453622 185.678014 \nL 88.851235 181.803247 \nL 90.509604 177.948551 \nL 92.43413 174.122882 \nL 94.629275 170.334512 \nL 97.098611 166.591023 \nL 99.844643 162.899307 \nL 102.868829 159.265577 \nL 106.171403 155.695386 \nL 109.751403 152.19365 \nL 113.606629 148.764682 \nL 117.733562 145.412229 \nL 122.127308 142.139515 \nL 126.781641 138.949289 \nL 131.688935 135.843885 \nL 136.840205 132.825272 \nL 142.225061 129.895109 \nL 148.978572 126.497659 \nL 156.028593 123.231735 \nL 163.349544 120.099234 \nL 170.913251 117.101984 \nL 178.689072 114.241875 \nL 187.984896 111.081233 \nL 197.468626 108.114025 \nL 207.080928 105.344972 \nL 216.759569 102.779778 \nL 226.439994 100.42527 \nL 236.055961 98.289447 \nL 246.880424 96.128103 \nL 256.131478 94.493225 \nL 265.106694 93.109482 \nL 273.740438 91.989116 \nL 281.969163 91.144901 \nL 289.732186 90.589896 \nL 295.97216 90.354237 \nL 301.794532 90.348601 \nL 307.168495 90.580582 \nL 311.284044 90.960502 \nL 315.054307 91.514022 \nL 318.466441 92.244406 \nL 321.509326 93.154429 \nL 323.671397 94.013295 \nL 325.58715 94.989424 \nL 327.253362 96.083393 \nL 328.667602 97.2955 \nL 329.828178 98.625745 \nL 330.734181 100.073805 \nL 331.385454 101.639028 \nL 331.782597 103.320423 \nL 331.926923 105.116656 \nL 331.820502 107.02603 \nL 331.466062 109.046503 \nL 330.867049 111.175663 \nL 330.027521 113.410734 \nL 328.647043 116.348718 \nL 326.908488 119.440377 \nL 324.823496 122.677962 \nL 322.404897 126.052893 \nL 319.081827 130.270848 \nL 315.323995 134.655386 \nL 311.158544 139.187391 \nL 305.821418 144.633728 \nL 300.014225 150.218293 \nL 293.78396 155.90459 \nL 287.177681 161.654556 \nL 280.241913 167.428935 \nL 271.969993 174.006717 \nL 264.478845 179.698056 \nL 256.794816 185.287156 \nL 248.956919 190.734164 \nL 241.001552 196.000171 \nL 232.962378 201.047645 \nL 224.870272 205.840829 \nL 217.913437 209.721375 \nL 210.954568 213.370758 \nL 204.008467 216.77089 \nL 197.088681 219.905395 \nL 190.207623 222.75976 \nL 183.376712 225.321463 \nL 177.730239 227.225055 \nL 172.131678 228.913244 \nL 166.586499 230.382231 \nL 161.099968 231.629328 \nL 155.677224 232.652956 \nL 150.323323 233.452685 \nL 145.043319 234.029211 \nL 139.842316 234.384328 \nL 134.725542 234.520957 \nL 129.698366 234.443067 \nL 124.766401 234.155671 \nL 119.935493 233.664813 \nL 115.211798 232.977466 \nL 110.601775 232.101491 \nL 106.112253 231.045596 \nL 101.750397 229.819244 \nL 97.523787 228.432621 \nL 93.44036 226.896486 \nL 88.740935 224.871704 \nL 84.274624 222.668319 \nL 80.057115 220.307393 \nL 76.104654 217.810485 \nL 72.433994 215.199391 \nL 69.062206 212.495937 \nL 66.006584 209.721757 \nL 63.714267 207.371237 \nL 61.663521 204.998291 \nL 59.864231 202.6145 \nL 58.325992 200.230982 \nL 57.058149 197.858331 \nL 56.069688 195.506549 \nL 55.369095 193.184988 \nL 55.021293 191.355334 \nL 54.866672 189.554667 \nL 54.908763 187.786757 \nL 55.15081 186.05505 \nL 55.595731 184.362654 \nL 56.246115 182.712342 \nL 57.104172 181.106532 \nL 58.171741 179.5473 \nL 59.45027 178.036373 \nL 60.940805 176.575131 \nL 62.64395 175.164619 \nL 65.072093 173.473865 \nL 67.832067 171.864128 \nL 70.92217 170.33532 \nL 74.339568 168.886634 \nL 78.080319 167.516588 \nL 82.988823 165.973341 \nL 88.344774 164.535603 \nL 94.135044 163.197695 \nL 101.41882 161.75426 \nL 109.244932 160.426414 \nL 118.812357 159.034765 \nL 130.306723 157.607286 \nL 143.887336 156.162018 \nL 161.134707 154.578316 \nL 182.264019 152.879216 \nL 210.390346 150.858603 \nL 241.859022 148.817948 \nL 267.839915 147.343324 \nL 286.699903 146.480726 \nL 301.691546 146.009017 \nL 313.150984 145.848582 \nL 322.640094 145.909584 \nL 331.405526 146.190027 \nL 338.435417 146.635578 \nL 343.957701 147.178915 \nL 348.99477 147.880896 \nL 353.529755 148.749525 \nL 356.915052 149.605582 \nL 359.935021 150.585203 \nL 362.584314 151.690763 \nL 364.43412 152.666962 \nL 366.042714 153.725172 \nL 367.409271 154.865422 \nL 368.533539 156.087356 \nL 369.415823 157.390226 \nL 370.057011 158.772885 \nL 370.45852 160.233777 \nL 370.622274 161.770942 \nL 370.550756 163.382007 \nL 370.246883 165.064193 \nL 369.714103 166.814318 \nL 368.956252 168.628802 \nL 367.699032 170.981334 \nL 366.106082 173.419631 \nL 364.187464 175.934243 \nL 361.954013 178.514893 \nL 358.874513 181.683245 \nL 355.379096 184.910338 \nL 351.489548 188.174477 \nL 347.228268 191.452882 \nL 342.618044 194.721908 \nL 337.681814 197.957261 \nL 332.442484 201.134244 \nL 326.922674 204.227999 \nL 321.14458 207.213747 \nL 315.129799 210.06707 \nL 308.899227 212.764119 \nL 302.472975 215.281913 \nL 295.870279 217.598531 \nL 289.10949 219.693383 \nL 283.367357 221.255891 \nL 277.537221 222.64102 \nL 271.628311 223.839575 \nL 265.649506 224.843356 \nL 259.609337 225.645214 \nL 253.516041 226.239097 \nL 247.377609 226.620106 \nL 241.201855 226.784544 \nL 234.996445 226.729922 \nL 228.768986 226.455003 \nL 222.527074 225.959804 \nL 216.278362 225.245598 \nL 210.030627 224.314889 \nL 203.791831 223.171429 \nL 197.570183 221.820165 \nL 191.374195 220.267215 \nL 185.212747 218.519818 \nL 179.095126 216.5863 \nL 171.825565 214.033596 \nL 164.650905 211.244271 \nL 157.589975 208.238023 \nL 150.662706 205.036145 \nL 143.890147 201.661282 \nL 137.294465 198.137255 \nL 130.89885 194.488765 \nL 124.72745 190.741204 \nL 118.805253 186.920378 \nL 112.245272 182.404816 \nL 106.101038 177.866004 \nL 101.197311 173.987782 \nL 96.656396 170.147034 \nL 92.504412 166.367731 \nL 88.766937 162.672775 \nL 85.468644 159.083811 \nL 83.072518 156.188596 \nL 81.010494 153.391892 \nL 79.29456 150.703712 \nL 77.935697 148.133191 \nL 77.112416 146.167036 \nL 76.528592 144.285214 \nL 76.188274 142.491087 \nL 76.094929 140.787605 \nL 76.251505 139.177311 \nL 76.660308 137.662328 \nL 77.323049 136.24437 \nL 78.240806 134.924743 \nL 79.414003 133.704344 \nL 80.842417 132.583672 \nL 82.525151 131.562845 \nL 84.460628 130.641608 \nL 86.64663 129.819338 \nL 89.726933 128.92918 \nL 93.186993 128.189548 \nL 97.01814 127.597121 \nL 102.090884 127.07487 \nL 107.662795 126.750839 \nL 113.710619 126.616001 \nL 121.333138 126.684631 \nL 129.522621 126.980649 \nL 139.512716 127.575068 \nL 151.460603 128.538872 \nL 164.043531 129.77971 \nL 178.616481 131.441127 \nL 195.16132 133.563109 \nL 212.013513 135.947272 \nL 228.935811 138.557061 \nL 245.697188 141.36823 \nL 260.609157 144.088267 \nL 273.630946 146.669128 \nL 286.164786 149.379844 \nL 296.817512 151.904347 \nL 306.945643 154.544176 \nL 315.333445 156.954694 \nL 323.243684 159.464715 \nL 329.621647 161.699173 \nL 335.611451 164.013222 \nL 341.199534 166.409139 \nL 346.37465 168.888515 \nL 350.36527 171.018999 \nL 354.05892 173.207924 \nL 357.452736 175.454706 \nL 360.544953 177.75819 \nL 363.334862 180.116619 \nL 365.82278 182.527588 \nL 368.009997 184.988037 \nL 369.898754 187.494211 \nL 371.492211 190.041654 \nL 372.794322 192.625205 \nL 373.809844 195.238994 \nL 374.544261 197.876465 \nL 375.003716 200.530369 \nL 375.19492 203.192819 \nL 375.125115 205.855294 \nL 374.801941 208.5087 \nL 374.233434 211.143399 \nL 373.427911 213.749264 \nL 372.393902 216.315743 \nL 371.140055 218.831914 \nL 369.67511 221.286564 \nL 368.007788 223.668239 \nL 366.146746 225.965349 \nL 364.100524 228.166219 \nL 361.877464 230.259183 \nL 359.48566 232.232675 \nL 356.932968 234.075299 \nL 354.22687 235.775898 \nL 351.374523 237.323681 \nL 348.382724 238.708245 \nL 345.257814 239.919696 \nL 342.005755 240.948704 \nL 338.632086 241.786585 \nL 335.141912 242.425361 \nL 331.539927 242.857804 \nL 327.830442 243.077545 \nL 324.01737 243.079055 \nL 320.104293 242.857746 \nL 316.094446 242.409963 \nL 311.990799 241.73305 \nL 307.7961 240.825331 \nL 303.512881 239.686159 \nL 299.143579 238.315906 \nL 294.690518 236.71595 \nL 289.239551 234.496278 \nL 283.675409 231.955415 \nL 278.002463 229.101432 \nL 272.225485 225.944322 \nL 266.34986 222.495948 \nL 259.378516 218.122955 \nL 252.292612 213.396475 \nL 245.105511 208.343651 \nL 236.788044 202.207413 \nL 228.386656 195.73113 \nL 218.875493 188.101856 \nL 209.35365 180.181657 \nL 198.837996 171.135253 \nL 188.485495 161.935304 \nL 178.40708 152.691418 \nL 168.724612 143.51184 \nL 160.456772 135.392221 \nL 152.714873 127.483438 \nL 146.356629 120.68673 \nL 140.564958 114.157315 \nL 136.016533 108.696686 \nL 131.999424 103.499127 \nL 129.01088 99.271408 \nL 126.467886 95.267718 \nL 124.705189 92.111114 \nL 123.278921 89.124573 \nL 122.199312 86.313536 \nL 121.591146 84.194254 \nL 121.214265 82.192413 \nL 121.071768 80.309777 \nL 121.166097 78.547865 \nL 121.498952 76.907873 \nL 122.071286 75.390731 \nL 122.883342 73.997093 \nL 123.934559 72.727343 \nL 125.223637 71.581604 \nL 126.748483 70.559777 \nL 128.506243 69.661513 \nL 130.493303 68.886256 \nL 132.705276 68.233235 \nL 135.778677 67.587402 \nL 139.183893 67.128861 \nL 142.907663 66.855029 \nL 146.93512 66.763035 \nL 152.145773 66.888226 \nL 157.739131 67.264992 \nL 163.681639 67.887299 \nL 169.937463 68.749004 \nL 177.581439 70.048714 \nL 185.537768 71.656323 \nL 193.741737 73.562642 \nL 202.127332 75.759071 \nL 210.628099 78.237633 \nL 219.177924 80.991106 \nL 226.496088 83.565073 \nL 233.762668 86.332525 \nL 240.93914 89.290082 \nL 247.988622 92.434616 \nL 254.876137 95.76317 \nL 261.568865 99.272836 \nL 266.975315 102.333776 \nL 272.209048 105.516632 \nL 277.255108 108.819461 \nL 282.09989 112.240104 \nL 286.73119 115.776159 \nL 291.138223 119.424887 \nL 295.31166 123.183173 \nL 299.243615 127.047474 \nL 302.927647 131.013748 \nL 306.358754 135.077421 \nL 309.533344 139.233319 \nL 312.449186 143.47564 \nL 315.105382 147.797915 \nL 317.502291 152.192977 \nL 319.641498 156.652935 \nL 321.525742 161.16916 \nL 323.158774 165.732274 \nL 324.545362 170.332155 \nL 325.691171 174.95794 \nL 326.602608 179.598043 \nL 327.286859 184.240189 \nL 327.751663 188.871439 \nL 328.005316 193.478236 \nL 328.056465 198.046457 \nL 327.914137 202.561484 \nL 327.500937 207.888073 \nL 326.838598 213.089688 \nL 325.943355 218.139096 \nL 324.831307 223.0088 \nL 323.518224 227.671219 \nL 322.019359 232.098984 \nL 320.349342 236.265179 \nL 318.522019 240.143612 \nL 316.888448 243.137629 \nL 315.161615 245.900398 \nL 313.347991 248.418748 \nL 311.453537 250.6803 \nL 309.483664 252.673608 \nL 307.443267 254.388219 \nL 305.33669 255.814796 \nL 303.606348 256.743126 \nL 301.83779 257.478238 \nL 300.032522 258.017002 \nL 298.191833 258.356862 \nL 296.316828 258.495824 \nL 294.408426 258.432411 \nL 292.467373 258.16576 \nL 290.494266 257.695555 \nL 288.489543 257.022055 \nL 285.939636 255.895616 \nL 283.341169 254.455749 \nL 280.694259 252.706655 \nL 277.998843 250.653869 \nL 275.254729 248.3042 \nL 271.897159 245.104057 \nL 268.468636 241.50397 \nL 264.968832 237.522129 \nL 260.795567 232.421129 \nL 256.525828 226.863007 \nL 251.530273 219.999659 \nL 245.768566 211.698479 \nL 239.204382 201.860025 \nL 231.135271 189.372526 \nL 220.153152 171.929388 \nL 207.049576 150.688411 \nL 194.981508 130.723014 \nL 186.154071 115.698062 \nL 179.752225 104.381398 \nL 174.967908 95.52273 \nL 171.122858 87.994652 \nL 167.714751 80.824708 \nL 165.129376 74.866087 \nL 163.232321 70.005348 \nL 161.648292 65.381435 \nL 160.393113 61.001816 \nL 159.608386 57.543415 \nL 159.068535 54.262294 \nL 158.779276 51.161101 \nL 158.745081 48.242019 \nL 158.96917 45.506826 \nL 159.335691 43.45199 \nL 159.869037 41.516218 \nL 160.568927 39.699876 \nL 161.43451 38.00317 \nL 162.464322 36.426193 \nL 163.656313 34.968918 \nL 165.007834 33.631222 \nL 166.515647 32.412865 \nL 168.175929 31.313529 \nL 170.458949 30.106137 \nL 172.963486 29.083181 \nL 175.678457 28.243682 \nL 178.591517 27.586518 \nL 181.689177 27.110552 \nL 184.956861 26.814606 \nL 188.379032 26.69751 \nL 192.666389 26.791496 \nL 197.12274 27.13959 \nL 201.71702 27.740106 \nL 206.417186 28.591618 \nL 211.190546 29.692871 \nL 216.00407 31.042902 \nL 220.824719 32.64094 \nL 225.619766 34.486478 \nL 230.35711 36.579167 \nL 235.00557 38.918808 \nL 238.789737 41.057063 \nL 242.474787 43.366662 \nL 246.044974 45.847499 \nL 249.485458 48.49939 \nL 252.782398 51.322053 \nL 255.92301 54.315056 \nL 258.89564 57.477728 \nL 261.689819 60.809162 \nL 264.296298 64.308148 \nL 266.707086 67.973133 \nL 268.915454 71.802133 \nL 270.915964 75.792741 \nL 272.704452 79.942009 \nL 274.278022 84.246468 \nL 275.635008 88.702034 \nL 276.774962 93.303983 \nL 277.698591 98.04692 \nL 278.407698 102.924721 \nL 278.905153 107.930519 \nL 279.194782 113.056668 \nL 279.281336 118.294729 \nL 279.170364 123.635443 \nL 278.785382 130.165551 \nL 278.137201 136.809926 \nL 277.239031 143.54786 \nL 276.105033 150.35697 \nL 274.750024 157.213239 \nL 273.189281 164.091105 \nL 271.129118 172.106463 \nL 268.834803 180.069232 \nL 266.330728 187.93213 \nL 263.640655 195.646146 \nL 260.787346 203.160971 \nL 257.792341 210.425524 \nL 254.67574 217.388507 \nL 251.456036 223.998983 \nL 248.627023 229.346649 \nL 245.74421 234.368124 \nL 242.816228 239.034108 \nL 239.85079 243.316802 \nL 237.355933 246.574123 \nL 234.843332 249.533258 \nL 232.31613 252.181388 \nL 229.77712 254.506918 \nL 227.2288 256.499594 \nL 225.184944 257.848073 \nL 223.137592 258.973964 \nL 221.087703 259.874021 \nL 219.03617 260.545687 \nL 216.983844 260.987028 \nL 214.931539 261.196791 \nL 212.880059 261.174394 \nL 210.830205 260.919963 \nL 208.782798 260.434277 \nL 206.73869 259.718797 \nL 204.698783 258.775673 \nL 202.664042 257.607696 \nL 200.635509 256.218283 \nL 198.11032 254.176389 \nL 195.599081 251.804107 \nL 193.104558 249.112089 \nL 190.62985 246.112237 \nL 188.178425 242.817684 \nL 185.272921 238.495286 \nL 182.41402 233.795458 \nL 179.610125 228.746332 \nL 176.870559 223.377531 \nL 174.205598 217.719778 \nL 171.205781 210.79601 \nL 168.342135 203.572922 \nL 165.635508 196.101828 \nL 163.108132 188.433785 \nL 160.783333 180.619032 \nL 158.685275 172.706478 \nL 157.086115 165.882231 \nL 155.687287 159.049223 \nL 154.504281 152.234559 \nL 153.552265 145.463891 \nL 152.845848 138.761311 \nL 152.398866 132.149281 \nL 152.233866 126.723459 \nL 152.264746 121.386079 \nL 152.497618 116.147414 \nL 152.937814 111.016899 \nL 153.589826 106.003161 \nL 154.457201 101.114003 \nL 155.54248 96.356465 \nL 156.847128 91.736805 \nL 158.371478 87.260582 \nL 160.114683 82.932647 \nL 162.074652 78.757213 \nL 164.248032 74.737867 \nL 166.630185 70.877671 \nL 169.215196 67.179166 \nL 171.995819 63.64441 \nL 174.963547 60.275105 \nL 178.108588 57.072546 \nL 181.419928 54.037755 \nL 184.885359 51.171485 \nL 188.491541 48.474295 \nL 192.224071 45.946573 \nL 196.067552 43.588628 \nL 200.005687 41.400666 \nL 204.832261 38.99977 \nL 209.73959 36.844274 \nL 214.695617 34.934618 \nL 219.66739 33.271357 \nL 224.621385 31.855273 \nL 229.523812 30.687337 \nL 234.340961 29.768802 \nL 239.039517 29.10112 \nL 243.586893 28.685994 \nL 247.951563 28.525291 \nL 252.103358 28.621054 \nL 255.379953 28.89833 \nL 258.473416 29.356473 \nL 261.369307 29.996744 \nL 264.054325 30.820364 \nL 266.516394 31.828485 \nL 268.744729 33.022155 \nL 270.352737 34.111289 \nL 271.800922 35.32015 \nL 273.085709 36.64903 \nL 274.204115 38.098136 \nL 275.153774 39.667559 \nL 275.932924 41.357309 \nL 276.54042 43.167234 \nL 276.975732 45.097046 \nL 277.23893 47.146328 \nL 277.330674 49.314492 \nL 277.206178 52.190723 \nL 276.819404 55.249679 \nL 276.175325 58.489062 \nL 275.28014 61.906107 \nL 273.884916 66.236441 \nL 272.153518 70.811295 \nL 270.102683 75.622982 \nL 267.33105 81.524134 \nL 264.181627 87.719617 \nL 260.163242 95.137185 \nL 255.171669 103.874727 \nL 248.50267 115.04844 \nL 239.996744 128.821219 \nL 228.204486 147.448269 \nL 213.197482 170.729124 \nL 200.420565 190.173091 \nL 191.42688 203.493829 \nL 184.035436 214.059786 \nL 178.15922 222.101052 \nL 173.074098 228.71717 \nL 168.734511 234.048503 \nL 164.498694 238.914886 \nL 160.950707 242.690917 \nL 157.478772 246.082278 \nL 154.082377 249.072193 \nL 151.309354 251.246616 \nL 148.588151 253.125018 \nL 145.918605 254.701464 \nL 143.300727 255.971315 \nL 140.734721 256.931223 \nL 138.719597 257.474611 \nL 136.738383 257.817932 \nL 134.791627 257.961351 \nL 132.880022 257.9056 \nL 131.004446 257.651949 \nL 129.165956 257.20224 \nL 127.365793 256.558848 \nL 125.6054 255.724669 \nL 123.886443 254.703133 \nL 121.798882 253.168774 \nL 119.783134 251.356549 \nL 117.843915 249.276253 \nL 115.986425 246.93872 \nL 114.216434 244.355721 \nL 112.540233 241.539873 \nL 110.96464 238.504517 \nL 109.496946 235.263648 \nL 107.889082 231.123868 \nL 106.461936 226.735036 \nL 105.230381 222.123752 \nL 104.209945 217.316934 \nL 103.416524 212.341626 \nL 102.866335 207.224733 \nL 102.605378 202.871662 \nL 102.533976 198.453755 \nL 102.661315 193.985692 \nL 102.996327 189.481703 \nL 103.547637 184.955528 \nL 104.323416 180.42033 \nL 105.331273 175.888655 \nL 106.578229 171.372384 \nL 108.070562 166.882716 \nL 109.813714 162.430125 \nL 111.812253 158.024359 \nL 114.069731 153.674426 \nL 116.588609 149.388597 \nL 119.370241 145.174418 \nL 122.414723 141.038725 \nL 125.720859 136.987669 \nL 129.286176 133.026755 \nL 133.106764 129.160866 \nL 137.177331 125.394322 \nL 141.491146 121.730923 \nL 146.040036 118.173992 \nL 150.814372 114.72644 \nL 155.803089 111.390826 \nL 160.993696 108.169407 \nL 166.37232 105.064209 \nL 173.053322 101.493969 \nL 179.954322 98.096706 \nL 187.044045 94.87527 \nL 194.288904 91.832539 \nL 201.653199 88.971508 \nL 209.099388 86.29539 \nL 217.837865 83.411717 \nL 226.570293 80.790823 \nL 235.230798 78.439726 \nL 243.752629 76.366246 \nL 252.068928 74.578941 \nL 260.113549 73.087092 \nL 267.821872 71.900494 \nL 274.114047 71.134078 \nL 280.075929 70.605873 \nL 285.672152 70.32233 \nL 290.869777 70.289698 \nL 294.87472 70.458461 \nL 298.565881 70.808804 \nL 301.928884 71.343634 \nL 304.95101 72.065505 \nL 307.115823 72.779159 \nL 309.050614 73.614823 \nL 310.751285 74.573221 \nL 312.21457 75.654825 \nL 313.437933 76.859884 \nL 314.419619 78.188407 \nL 315.158656 79.640136 \nL 315.654842 81.214532 \nL 315.908728 82.910798 \nL 315.921613 84.72783 \nL 315.695527 86.664228 \nL 315.233207 88.718313 \nL 314.53809 90.88807 \nL 313.348065 93.759403 \nL 311.810006 96.802679 \nL 309.934642 100.01197 \nL 307.734 103.380623 \nL 304.682495 107.622914 \nL 301.206316 112.069942 \nL 296.649477 117.496183 \nL 291.59522 123.15315 \nL 285.26939 129.863377 \nL 278.425403 136.790262 \nL 270.195431 144.78002 \nL 261.500338 152.906506 \nL 252.437024 161.092083 \nL 242.046149 170.159461 \nL 232.498591 178.206759 \nL 222.845224 186.063102 \nL 213.154337 193.649269 \nL 204.557235 200.103663 \nL 196.014252 206.232533 \nL 188.608355 211.290106 \nL 181.286154 216.031129 \nL 174.06331 220.427856 \nL 167.961644 223.90342 \nL 161.950299 227.093639 \nL 156.035823 229.986281 \nL 150.224069 232.570998 \nL 144.520369 234.839358 \nL 138.929717 236.784983 \nL 134.360653 238.156622 \nL 129.876194 239.299738 \nL 125.479129 240.213998 \nL 121.172375 240.900075 \nL 116.958999 241.359687 \nL 112.842266 241.595549 \nL 108.825739 241.611355 \nL 104.913243 241.411761 \nL 101.108934 241.002354 \nL 97.417355 240.389577 \nL 93.843413 239.5807 \nL 90.39238 238.583768 \nL 87.069977 237.407523 \nL 83.882332 236.06136 \nL 80.835959 234.555233 \nL 77.93778 232.899593 \nL 75.195067 231.105307 \nL 72.615463 229.183564 \nL 70.206906 227.14582 \nL 67.977608 225.003681 \nL 65.936017 222.76885 \nL 64.090777 220.453029 \nL 62.450631 218.067831 \nL 61.024384 215.624731 \nL 59.820851 213.13495 \nL 58.848773 210.609404 \nL 58.116765 208.058642 \nL 57.633179 205.492772 \nL 57.40611 202.921399 \nL 57.443296 200.353574 \nL 57.75202 197.797762 \nL 58.199097 195.767041 \nL 58.827506 193.752727 \nL 59.640185 191.758237 \nL 60.639808 189.786693 \nL 61.828734 187.840935 \nL 63.584137 185.448828 \nL 65.641658 183.105252 \nL 68.003611 180.813788 \nL 70.671381 178.577312 \nL 73.645349 176.39801 \nL 76.924922 174.27741 \nL 80.50842 172.216406 \nL 84.393127 170.215312 \nL 89.446918 167.89272 \nL 94.920241 165.654721 \nL 100.802165 163.499117 \nL 107.079468 161.422993 \nL 114.881976 159.096638 \nL 123.173187 156.867544 \nL 133.205621 154.430743 \nL 143.779689 152.102835 \nL 156.247365 149.60311 \nL 170.698718 146.961662 \nL 185.642259 144.454661 \nL 202.465519 141.849628 \nL 221.030866 139.199958 \nL 239.531208 136.778122 \nL 257.663158 134.630018 \nL 273.699658 132.954663 \nL 287.592064 131.725956 \nL 299.392708 130.90167 \nL 309.225772 130.424524 \nL 318.361553 130.215759 \nL 325.728135 130.273776 \nL 331.542337 130.515507 \nL 336.869516 130.944653 \nL 341.688332 131.569887 \nL 345.302304 132.246168 \nL 348.54134 133.06752 \nL 351.397926 134.036881 \nL 353.403748 134.920423 \nL 355.158623 135.900819 \nL 356.66087 136.978438 \nL 357.909464 138.153268 \nL 358.904046 139.424923 \nL 359.644879 140.792611 \nL 360.132905 142.255138 \nL 360.369636 143.810898 \nL 360.357226 145.457873 \nL 360.098404 147.193627 \nL 359.596457 149.015312 \nL 358.855243 150.919667 \nL 357.879085 152.90303 \nL 356.3359 155.487116 \nL 354.443581 158.179507 \nL 352.213512 160.970533 \nL 349.657934 163.84967 \nL 346.179926 167.404953 \nL 342.275591 171.049843 \nL 337.969588 174.762057 \nL 333.287318 178.518172 \nL 328.254603 182.293812 \nL 322.897468 186.063884 \nL 317.241809 189.802812 \nL 311.31327 193.484769 \nL 305.136955 197.083925 \nL 298.73726 200.574702 \nL 292.137768 203.932011 \nL 285.361129 207.131515 \nL 278.428965 210.149866 \nL 271.361847 212.964934 \nL 264.179244 215.556031 \nL 256.899575 217.904123 \nL 250.771624 219.662789 \nL 244.597938 221.231864 \nL 238.387664 222.603511 \nL 232.149563 223.771012 \nL 225.892087 224.72877 \nL 219.623408 225.472391 \nL 213.351491 225.998695 \nL 207.08415 226.305764 \nL 200.829116 226.392894 \nL 194.594097 226.260672 \nL 188.386851 225.910926 \nL 182.215237 225.346732 \nL 176.087284 224.572367 \nL 170.011232 223.593291 \nL 163.995632 222.416112 \nL 158.049319 221.048523 \nL 152.181517 219.499238 \nL 146.401822 217.777932 \nL 139.596665 215.500251 \nL 132.951038 213.009926 \nL 126.484038 210.328209 \nL 120.215656 207.477617 \nL 114.166786 204.481658 \nL 108.359086 201.364606 \nL 102.8149 198.151243 \nL 97.557157 194.866627 \nL 92.609162 191.53579 \nL 87.994446 188.18354 \nL 83.736538 184.834195 \nL 79.858712 181.511354 \nL 76.383802 178.237667 \nL 73.333877 175.034624 \nL 71.132189 172.433972 \nL 69.251867 169.907261 \nL 67.703724 167.464552 \nL 66.497802 165.115057 \nL 65.785614 163.308191 \nL 65.302492 161.570143 \nL 65.05219 159.904344 \nL 65.038005 158.313821 \nL 65.262748 156.801193 \nL 65.728682 155.368666 \nL 66.437562 154.018037 \nL 67.390592 152.750689 \nL 68.588386 151.567602 \nL 70.031017 150.469353 \nL 71.717947 149.456129 \nL 73.648076 148.527735 \nL 76.400101 147.485648 \nL 79.524789 146.573343 \nL 83.016147 145.788149 \nL 86.866722 145.126648 \nL 91.949159 144.490316 \nL 97.518544 144.017956 \nL 104.604509 143.661678 \nL 112.289413 143.499711 \nL 121.753662 143.530253 \nL 133.190506 143.807317 \nL 146.758397 144.371245 \nL 164.029615 145.334194 \nL 185.196379 146.752105 \nL 211.748491 148.762092 \nL 240.022239 151.117261 \nL 264.540496 153.37585 \nL 283.580796 155.35143 \nL 298.823799 157.158073 \nL 310.574392 158.756346 \nL 320.399593 160.288279 \nL 329.584757 161.942907 \nL 337.058585 163.504776 \nL 343.976875 165.184443 \nL 349.44597 166.725362 \nL 354.475714 168.365372 \nL 359.055252 170.108881 \nL 362.521347 171.643292 \nL 365.66503 173.253161 \nL 368.483584 174.9391 \nL 370.975434 176.701016 \nL 373.140074 178.538087 \nL 374.636539 180.060808 \nL 375.924676 181.629437 \nL 377.005638 183.242458 \nL 377.880977 184.898021 \nL 378.552628 186.593932 \nL 379.022886 188.327669 \nL 379.294392 190.096363 \nL 379.370085 191.896821 \nL 379.253253 193.725524 \nL 378.947446 195.578637 \nL 378.305233 197.923018 \nL 377.381619 200.290323 \nL 376.18501 202.671155 \nL 374.724261 205.055499 \nL 373.008517 207.432786 \nL 371.047217 209.791948 \nL 368.849947 212.121499 \nL 366.426423 214.409599 \nL 363.233261 217.083537 \nL 359.745095 219.659061 \nL 355.978447 222.114729 \nL 351.949458 224.429134 \nL 347.673791 226.58114 \nL 343.933209 228.23551 \nL 340.040195 229.75115 \nL 336.002738 231.11692 \nL 331.828535 232.322179 \nL 327.524837 233.356864 \nL 323.098566 234.211613 \nL 318.556256 234.877776 \nL 313.904079 235.347548 \nL 309.147912 235.613983 \nL 304.293284 235.671054 \nL 299.345491 235.513722 \nL 294.309573 235.137968 \nL 289.190416 234.54083 \nL 283.992758 233.720398 \nL 278.721274 232.675876 \nL 273.380623 231.407578 \nL 267.975525 229.916916 \nL 262.510796 228.206422 \nL 256.991453 226.279682 \nL 250.303578 223.688817 \nL 243.554334 220.803397 \nL 236.754219 217.635529 \nL 229.914705 214.199292 \nL 223.048362 210.510615 \nL 216.168995 206.587106 \nL 208.146891 201.738529 \nL 200.154261 196.629282 \nL 192.220411 191.294391 \nL 184.377504 185.770707 \nL 175.570562 179.275887 \nL 166.984826 172.6432 \nL 158.6812 165.932287 \nL 150.724399 159.202926 \nL 143.182087 152.514247 \nL 136.977364 146.740454 \nL 131.190693 141.079387 \nL 125.869349 135.566795 \nL 121.059782 130.236479 \nL 117.378763 125.836697 \nL 114.133807 121.612458 \nL 111.350325 117.580694 \nL 109.40025 114.37904 \nL 107.799373 111.32975 \nL 106.558865 108.440017 \nL 105.832555 106.247403 \nL 105.347541 104.163836 \nL 105.107545 102.191822 \nL 105.115631 100.333512 \nL 105.374167 98.590706 \nL 105.884814 96.964859 \nL 106.648489 95.457084 \nL 107.665364 94.068162 \nL 108.934844 92.798548 \nL 110.455579 91.648393 \nL 112.225453 90.617535 \nL 114.241549 89.705532 \nL 116.500231 88.911668 \nL 118.997081 88.234988 \nL 122.445144 87.552087 \nL 126.245574 87.047594 \nL 130.385054 86.718265 \nL 134.848643 86.560451 \nL 140.609491 86.591863 \nL 146.782175 86.857202 \nL 153.33296 87.348786 \nL 161.405225 88.197733 \nL 169.88236 89.331339 \nL 178.700837 90.737304 \nL 187.794952 92.403827 \nL 197.097661 94.319858 \nL 206.541321 96.475271 \nL 216.058472 98.860968 \nL 225.582563 101.46897 \nL 235.048662 104.29238 \nL 244.3941 107.325346 \nL 253.559091 110.562923 \nL 261.22834 113.49766 \nL 268.690319 116.577337 \nL 275.914114 119.799793 \nL 282.871287 123.162935 \nL 289.53604 126.664538 \nL 294.849901 129.686541 \nL 299.932792 132.801361 \nL 304.774234 136.007099 \nL 309.365172 139.301545 \nL 313.69796 142.682115 \nL 317.766334 146.145786 \nL 321.565401 149.689053 \nL 325.091662 153.307878 \nL 328.342917 156.997642 \nL 331.31828 160.753117 \nL 334.018046 164.568424 \nL 336.443716 168.437014 \nL 338.597902 172.351653 \nL 340.484217 176.304406 \nL 342.10726 180.286642 \nL 343.472497 184.289035 \nL 344.586205 188.301585 \nL 345.45535 192.313637 \nL 346.0875 196.313919 \nL 346.490732 200.290581 \nL 346.673576 204.231224 \nL 346.644878 208.122989 \nL 346.413728 211.952595 \nL 345.989388 215.706419 \nL 345.381147 219.370574 \nL 344.598329 222.930985 \nL 343.650129 226.373477 \nL 342.545617 229.68386 \nL 341.293588 232.848051 \nL 339.902571 235.85212 \nL 338.380758 238.682453 \nL 336.735919 241.325777 \nL 334.9754 243.769291 \nL 333.10606 246.000793 \nL 331.134285 248.008719 \nL 329.065908 249.782277 \nL 326.906269 251.311465 \nL 324.660133 252.587225 \nL 322.33174 253.601465 \nL 320.412287 254.219796 \nL 318.444222 254.66313 \nL 316.428972 254.928818 \nL 314.367772 255.014702 \nL 312.261692 254.919113 \nL 310.111576 254.640874 \nL 307.363081 254.035252 \nL 304.547899 253.143023 \nL 301.666722 251.965217 \nL 298.719915 250.504066 \nL 295.707641 248.763023 \nL 292.629853 246.746672 \nL 288.849791 243.971815 \nL 284.97474 240.820807 \nL 281.004304 237.307709 \nL 276.251298 232.7729 \nL 271.368437 227.795571 \nL 265.630659 221.605691 \nL 258.979975 214.063609 \nL 251.35957 205.05618 \nL 241.925887 193.528441 \nL 229.778172 178.30491 \nL 212.426605 156.174475 \nL 194.502224 132.986253 \nL 182.946507 117.723113 \nL 174.387546 106.072239 \nL 167.883224 96.851066 \nL 162.624165 88.993086 \nL 158.494325 82.396755 \nL 155.348142 76.947719 \nL 153.026916 72.529891 \nL 151.073913 68.354897 \nL 149.507457 64.430591 \nL 148.508991 61.356709 \nL 147.798034 58.464905 \nL 147.381161 55.757961 \nL 147.262907 53.727058 \nL 147.338146 51.816903 \nL 147.608193 50.028237 \nL 148.073716 48.36164 \nL 148.734733 46.817501 \nL 149.590571 45.396055 \nL 150.639895 44.097375 \nL 151.880683 42.921378 \nL 153.310239 41.867857 \nL 154.925197 40.93648 \nL 156.721517 40.126765 \nL 159.214768 39.284874 \nL 161.973505 38.630973 \nL 164.9857 38.163582 \nL 168.237934 37.881093 \nL 171.715455 37.781819 \nL 176.163294 37.90202 \nL 180.882808 38.280372 \nL 185.842285 38.913761 \nL 191.008308 39.799191 \nL 196.346094 40.933774 \nL 201.819833 42.314835 \nL 207.393044 43.939918 \nL 213.028926 45.80679 \nL 218.690718 47.913475 \nL 224.342046 50.25823 \nL 229.947266 52.839453 \nL 235.47178 55.65574 \nL 240.882352 58.705715 \nL 245.28127 61.42487 \nL 249.561804 64.304504 \nL 253.707681 67.343637 \nL 257.703731 70.541182 \nL 261.535949 73.895844 \nL 265.191573 77.40607 \nL 268.659116 81.07 \nL 271.928415 84.885453 \nL 274.990681 88.849783 \nL 277.838467 92.959907 \nL 280.465721 97.212206 \nL 282.867741 101.602491 \nL 285.041185 106.12596 \nL 286.984014 110.777127 \nL 288.695466 115.549803 \nL 290.176018 120.437064 \nL 291.427302 125.43119 \nL 292.452062 130.523673 \nL 293.254055 135.705182 \nL 293.838 140.965556 \nL 294.209463 146.29379 \nL 294.374797 151.678057 \nL 294.34102 157.105704 \nL 294.115748 162.563281 \nL 293.604071 169.131805 \nL 292.843059 175.696956 \nL 291.848028 182.231379 \nL 290.63467 188.706469 \nL 289.218828 195.092548 \nL 287.616296 201.359048 \nL 285.842633 207.474753 \nL 283.913006 213.408026 \nL 281.842035 219.127075 \nL 279.643666 224.600234 \nL 277.331071 229.79625 \nL 274.916547 234.684607 \nL 272.411494 239.235811 \nL 269.82633 243.421704 \nL 267.617682 246.611694 \nL 265.364929 249.515211 \nL 263.07256 252.118972 \nL 260.7446 254.410815 \nL 258.384645 256.379874 \nL 256.475805 257.716259 \nL 254.549994 258.835699 \nL 252.608526 259.734552 \nL 250.652577 260.409813 \nL 248.683209 260.859107 \nL 246.701365 261.080732 \nL 244.707908 261.073635 \nL 242.703613 260.837432 \nL 240.689203 260.3724 \nL 238.66534 259.679491 \nL 236.632667 258.760316 \nL 234.591806 257.617151 \nL 232.543378 256.252891 \nL 229.973188 254.242076 \nL 227.393515 251.899563 \nL 224.805821 249.234938 \nL 222.211748 246.259143 \nL 219.093084 242.294618 \nL 215.971676 237.922695 \nL 212.851917 233.168576 \nL 209.221179 227.175173 \nL 205.609286 220.743836 \nL 202.027477 213.922198 \nL 197.987552 205.71121 \nL 194.026208 197.129416 \nL 190.168791 188.251973 \nL 186.443631 179.153359 \nL 182.881781 169.906393 \nL 179.516711 160.581399 \nL 176.383817 151.245432 \nL 173.519867 141.96169 \nL 171.263959 133.927633 \nL 169.267693 126.015156 \nL 167.555648 118.257834 \nL 166.33237 111.755485 \nL 165.349405 105.407177 \nL 164.619887 99.22881 \nL 164.155744 93.234685 \nL 163.979317 88.389544 \nL 163.99977 83.687782 \nL 164.221491 79.135241 \nL 164.647961 74.737087 \nL 165.28165 70.497842 \nL 166.123978 66.4214 \nL 167.175285 62.511073 \nL 168.434751 58.76965 \nL 169.900372 55.199407 \nL 171.568947 51.802152 \nL 173.436066 48.579289 \nL 175.4961 45.531829 \nL 177.742199 42.660496 \nL 180.166331 39.965688 \nL 182.759296 37.44758 \nL 185.510766 35.106145 \nL 188.409347 32.941235 \nL 191.442629 30.952552 \nL 194.597252 29.139746 \nL 197.858995 27.502393 \nL 201.212856 26.040113 \nL 204.643141 24.752507 \nL 208.837416 23.437498 \nL 213.08927 22.373128 \nL 217.368973 21.559163 \nL 221.646366 20.995595 \nL 225.891159 20.682656 \nL 230.073222 20.620829 \nL 234.162889 20.81086 \nL 238.131245 21.253695 \nL 241.325391 21.816674 \nL 244.400465 22.556758 \nL 247.341745 23.474771 \nL 250.135348 24.571516 \nL 252.768308 25.847849 \nL 255.228664 27.304559 \nL 257.505519 28.942401 \nL 259.589125 30.762015 \nL 261.470921 32.763922 \nL 262.826084 34.496945 \nL 264.044194 36.346966 \nL 265.122602 38.313992 \nL 266.059201 40.397898 \nL 267.028134 43.166811 \nL 267.771087 46.117288 \nL 268.287383 49.24824 \nL 268.577583 52.558225 \nL 268.643467 56.045365 \nL 268.487979 59.707337 \nL 268.115158 63.541326 \nL 267.530081 67.54402 \nL 266.556413 72.564507 \nL 265.298015 77.814654 \nL 263.768639 83.285514 \nL 261.662226 89.933483 \nL 259.233794 96.849468 \nL 256.099802 105.054617 \nL 252.624711 113.546936 \nL 248.362519 123.394262 \nL 243.262359 134.625301 \nL 237.305796 147.218749 \nL 230.513171 161.078791 \nL 222.945622 176.005997 \nL 215.8799 189.467919 \nL 209.411002 201.337311 \nL 203.582125 211.578663 \nL 198.403957 220.231943 \nL 193.868617 227.393511 \nL 189.959004 233.196684 \nL 186.108334 238.524041 \nL 182.856677 242.682258 \nL 179.651356 246.440084 \nL 176.493095 249.777247 \nL 173.897514 252.223799 \nL 171.335181 254.356591 \nL 168.80633 256.16782 \nL 166.31124 257.651053 \nL 164.339739 258.598053 \nL 162.390378 259.329986 \nL 160.463516 259.845564 \nL 158.559611 260.144092 \nL 156.679236 260.225527 \nL 154.823094 260.090416 \nL 152.992029 259.739957 \nL 151.187025 259.175949 \nL 149.409255 258.400783 \nL 147.660061 257.417457 \nL 145.940956 256.229548 \nL 143.837027 254.463312 \nL 141.786609 252.393152 \nL 139.793989 250.029545 \nL 137.863982 247.384129 \nL 136.001909 244.469588 \nL 134.213601 241.299562 \nL 132.173965 237.178717 \nL 130.261594 232.737296 \nL 128.489299 228.002952 \nL 126.870769 223.004289 \nL 125.420443 217.770581 \nL 124.153436 212.331486 \nL 123.085307 206.716738 \nL 122.231974 200.955913 \nL 121.609485 195.07815 \nL 121.233831 189.111931 \nL 121.120698 184.092477 \nL 121.19878 179.04623 \nL 121.476586 173.988043 \nL 121.962181 168.932142 \nL 122.663154 163.892063 \nL 123.58645 158.88062 \nL 124.738285 153.909877 \nL 126.124069 148.991121 \nL 127.748318 144.134852 \nL 129.614539 139.350778 \nL 131.725175 134.647822 \nL 134.081521 130.034131 \nL 136.683661 125.517097 \nL 139.530384 121.103382 \nL 142.619165 116.798954 \nL 145.946098 112.609134 \nL 149.505877 108.538615 \nL 153.291784 104.591539 \nL 157.295643 100.771537 \nL 161.507856 97.081773 \nL 165.917405 93.525019 \nL 170.511879 90.103703 \nL 175.277527 86.819959 \nL 180.199255 83.675695 \nL 185.260755 80.672655 \nL 191.494339 77.257702 \nL 197.871655 74.051084 \nL 204.3584 71.055441 \nL 210.918504 68.273471 \nL 217.514435 65.707995 \nL 224.107508 63.362078 \nL 230.658222 61.239015 \nL 238.193856 59.048579 \nL 245.553854 57.172567 \nL 252.675266 55.617687 \nL 258.542754 54.545887 \nL 264.152285 53.719919 \nL 269.46799 53.144521 \nL 274.45594 52.824469 \nL 279.084482 52.76441 \nL 282.646004 52.91618 \nL 285.922396 53.254014 \nL 288.899841 53.780127 \nL 291.566094 54.496487 \nL 293.467858 55.207692 \nL 295.159021 56.042426 \nL 296.635662 57.001256 \nL 297.89461 58.084553 \nL 298.933422 59.292526 \nL 299.750403 60.625191 \nL 300.344607 62.082366 \nL 300.715832 63.663644 \nL 300.864603 65.368402 \nL 300.792155 67.195785 \nL 300.500449 69.144714 \nL 299.992102 71.213861 \nL 299.057104 73.966927 \nL 297.796603 76.901731 \nL 296.219857 80.014039 \nL 293.925304 83.976265 \nL 291.211263 88.177515 \nL 288.100591 92.607003 \nL 284.003281 98.047052 \nL 278.754834 104.597217 \nL 272.966197 111.468841 \nL 265.893281 119.535587 \nL 256.580735 129.793768 \nL 245.778949 141.353363 \nL 232.611731 155.110145 \nL 218.166722 169.869107 \nL 204.65348 183.352827 \nL 193.215685 194.456199 \nL 183.868363 203.247802 \nL 175.641036 210.710417 \nL 168.497442 216.925869 \nL 161.528061 222.698688 \nL 155.580998 227.352445 \nL 149.780422 231.607338 \nL 144.928009 234.918858 \nL 140.187845 237.906682 \nL 135.561391 240.559502 \nL 131.049914 242.867881 \nL 127.37908 244.523015 \nL 123.789726 245.930607 \nL 120.282787 247.088515 \nL 116.859354 247.995644 \nL 113.520746 248.65197 \nL 110.268581 249.058529 \nL 107.104784 249.217397 \nL 104.031657 249.131721 \nL 101.051929 248.80565 \nL 98.168738 248.244315 \nL 95.385668 247.453784 \nL 92.706799 246.441055 \nL 90.136687 245.213948 \nL 87.680363 243.781079 \nL 85.343377 242.151812 \nL 83.131711 240.336117 \nL 81.051855 238.34457 \nL 79.110712 236.188227 \nL 77.315575 233.878569 \nL 75.67415 231.427418 \nL 74.19446 228.846801 \nL 72.884791 226.148938 \nL 71.753696 223.346119 \nL 70.809872 220.450626 \nL 70.062136 217.474648 \nL 69.519346 214.430194 \nL 69.190306 211.329042 \nL 69.083716 208.182645 \nL 69.208085 205.002085 \nL 69.571658 201.797999 \nL 70.182319 198.580535 \nL 71.047511 195.359294 \nL 72.174167 192.143304 \nL 73.568651 188.940972 \nL 75.236608 185.760071 \nL 77.182951 182.607714 \nL 79.411762 179.490348 \nL 81.926243 176.413753 \nL 84.728614 173.383044 \nL 87.820122 170.402684 \nL 91.200905 167.476511 \nL 94.86999 164.607751 \nL 98.825274 161.799069 \nL 103.063437 159.052595 \nL 107.579956 156.369976 \nL 112.36907 153.752425 \nL 118.465876 150.698404 \nL 124.930525 147.740104 \nL 131.745962 144.877853 \nL 138.89251 142.111624 \nL 146.348009 139.441187 \nL 155.403625 136.446408 \nL 164.803084 133.581473 \nL 174.499185 130.846728 \nL 185.878107 127.882279 \nL 197.496153 125.092952 \nL 209.266608 122.484503 \nL 222.577141 119.776658 \nL 235.830958 117.324253 \nL 248.890371 115.147589 \nL 261.616473 113.271096 \nL 272.5372 111.877691 \nL 282.990852 110.765148 \nL 291.682752 110.039956 \nL 299.888841 109.562849 \nL 307.554339 109.34938 \nL 313.655954 109.38769 \nL 319.293908 109.639776 \nL 324.441785 110.113961 \nL 328.34038 110.684174 \nL 331.870594 111.417564 \nL 335.022236 112.317289 \nL 337.265211 113.158557 \nL 339.256901 114.108869 \nL 340.994462 115.168882 \nL 342.47578 116.33891 \nL 343.699492 117.618929 \nL 344.664953 119.008557 \nL 345.372226 120.507034 \nL 345.822072 122.113236 \nL 346.015982 123.825633 \nL 345.956092 125.64231 \nL 345.645222 127.560954 \nL 345.086799 129.578864 \nL 344.284859 131.692929 \nL 343.244032 133.89966 \nL 341.614943 136.782432 \nL 339.631826 139.7955 \nL 337.306911 142.929571 \nL 334.653463 146.174506 \nL 331.055558 150.199308 \nL 327.030564 154.347637 \nL 322.605329 158.597773 \nL 317.807537 162.926764 \nL 311.776858 168.044839 \nL 305.322521 173.19797 \nL 298.489331 178.34546 \nL 291.321336 183.445939 \nL 283.861281 188.457855 \nL 276.150247 193.339971 \nL 269.370707 197.39065 \nL 262.458838 201.291514 \nL 255.436672 205.018774 \nL 248.32495 208.549786 \nL 241.143098 211.863253 \nL 233.909261 214.939451 \nL 226.640361 217.760367 \nL 219.352177 220.309925 \nL 213.274624 222.217091 \nL 207.201973 223.91908 \nL 201.141877 225.410053 \nL 195.101668 226.685303 \nL 189.088411 227.741306 \nL 183.108969 228.575734 \nL 177.170074 229.187449 \nL 171.278393 229.576567 \nL 165.440583 229.744392 \nL 159.663367 229.693423 \nL 153.953595 229.427337 \nL 148.318273 228.950948 \nL 142.764643 228.270192 \nL 137.30021 227.392042 \nL 131.932795 226.324484 \nL 126.670559 225.076445 \nL 121.522038 223.657717 \nL 115.506474 221.744877 \nL 109.683637 219.621137 \nL 104.070471 217.307375 \nL 98.68468 214.825501 \nL 93.544688 212.198231 \nL 88.669554 209.448822 \nL 84.078832 206.600841 \nL 79.792479 203.677924 \nL 75.830653 200.703528 \nL 72.213573 197.7007 \nL 68.961271 194.691837 \nL 66.093449 191.698489 \nL 64.01112 189.23069 \nL 62.219704 186.799115 \nL 60.72937 184.414288 \nL 59.549693 182.086004 \nL 58.689607 179.823278 \nL 58.23716 178.065822 \nL 57.998284 176.359356 \nL 57.976414 174.707294 \nL 58.174627 173.11268 \nL 58.595532 171.578173 \nL 59.241339 170.106042 \nL 60.113804 168.698175 \nL 61.214214 167.35607 \nL 62.543353 166.080841 \nL 64.101548 164.873228 \nL 65.888599 163.733601 \nL 68.443152 162.404651 \nL 71.3517 161.181174 \nL 74.610493 160.061627 \nL 78.214571 159.04371 \nL 82.986434 157.952101 \nL 88.233512 156.996132 \nL 93.940394 156.168305 \nL 101.155781 155.353151 \nL 110.097461 154.602118 \nL 119.729395 154.021239 \nL 131.316014 153.541092 \nL 146.425557 153.155639 \nL 165.38898 152.911134 \nL 191.477881 152.809752 \nL 230.987091 152.893329 \nL 265.105748 153.16264 \nL 287.11251 153.550793 \nL 302.261042 154.017388 \nL 315.131353 154.628515 \nL 325.872725 155.370007 \nL 334.680893 156.209767 \nL 341.773993 157.102824 \nL 348.261621 158.158529 \nL 353.320254 159.202584 \nL 357.900215 160.382466 \nL 361.342591 161.473637 \nL 364.438824 162.665742 \nL 367.184634 163.960664 \nL 369.576965 165.359512 \nL 371.235081 166.553638 \nL 372.66544 167.814228 \nL 373.868191 169.140671 \nL 374.843958 170.531986 \nL 375.59384 171.986808 \nL 376.119422 173.503393 \nL 376.422733 175.079613 \nL 376.506227 176.712953 \nL 376.372789 178.400524 \nL 376.025674 180.139049 \nL 375.46853 181.924891 \nL 374.482848 184.217607 \nL 373.183707 186.569414 \nL 371.580282 188.970931 \nL 369.682371 191.412027 \nL 367.500249 193.881881 \nL 365.044655 196.369027 \nL 361.752545 199.359469 \nL 358.102169 202.3358 \nL 354.113378 205.275551 \nL 349.806128 208.155671 \nL 345.200333 210.952762 \nL 340.31558 213.64332 \nL 335.171065 216.203964 \nL 329.785443 218.611683 \nL 324.176695 220.844094 \nL 318.362113 222.879667 \nL 313.37133 224.410822 \nL 308.258198 225.779917 \nL 303.031446 226.976534 \nL 297.699441 227.991039 \nL 292.27017 228.814675 \nL 286.751295 229.439639 \nL 281.150173 229.859115 \nL 275.473913 230.067367 \nL 269.729364 230.059738 \nL 263.923255 229.832734 \nL 258.062175 229.384013 \nL 252.152673 228.712455 \nL 246.201308 227.818126 \nL 240.214712 226.702304 \nL 234.199665 225.367485 \nL 228.163151 223.817324 \nL 222.112429 222.056666 \nL 216.055089 220.0915 \nL 208.788824 217.473361 \nL 201.539221 214.585156 \nL 194.322004 211.443146 \nL 187.154054 208.065449 \nL 180.053497 204.471937 \nL 173.039755 200.683991 \nL 166.133576 196.724326 \nL 158.241824 191.919558 \nL 150.563832 186.952954 \nL 143.139082 181.865112 \nL 136.009034 176.697337 \nL 129.216799 171.491149 \nL 122.806739 166.287803 \nL 116.823944 161.127798 \nL 111.313699 156.050427 \nL 107.000709 151.79275 \nL 103.095433 147.645989 \nL 99.624508 143.631371 \nL 96.613333 139.768674 \nL 94.472435 136.678985 \nL 92.68012 133.71708 \nL 91.248091 130.891711 \nL 90.368978 128.735025 \nL 89.732007 126.674354 \nL 89.341396 124.712902 \nL 89.200781 122.853481 \nL 89.313163 121.098505 \nL 89.68089 119.449994 \nL 90.305652 117.909583 \nL 91.188422 116.478515 \nL 92.329464 115.157658 \nL 93.728335 113.947502 \nL 95.38385 112.848188 \nL 97.294117 111.859491 \nL 99.456473 110.980867 \nL 101.867567 110.211467 \nL 105.224927 109.401516 \nL 108.954991 108.757534 \nL 113.046567 108.276056 \nL 117.486864 107.953082 \nL 123.255307 107.768414 \nL 129.477803 107.79709 \nL 136.124154 108.030075 \nL 144.370256 108.547472 \nL 153.093207 109.314685 \nL 163.570446 110.477662 \nL 174.501212 111.924468 \nL 185.790015 113.633999 \nL 197.339466 115.586913 \nL 210.522151 118.053662 \nL 222.300955 120.470098 \nL 234.037819 123.084953 \nL 245.640656 125.889283 \nL 257.021483 128.87666 \nL 266.732227 131.637436 \nL 276.157435 134.533512 \nL 285.248937 137.564131 \nL 293.962649 140.729079 \nL 301.100614 143.548849 \nL 307.909402 146.467346 \nL 314.369189 149.484365 \nL 320.462739 152.599338 \nL 325.250288 155.26921 \nL 329.766268 158.005386 \nL 334.004833 160.806504 \nL 337.961449 163.670771 \nL 341.632775 166.595903 \nL 345.016697 169.579092 \nL 348.112254 172.616951 \nL 350.919603 175.705492 \nL 353.440004 178.840097 \nL 355.675717 182.015494 \nL 357.629967 185.22575 \nL 359.306876 188.464261 \nL 360.711423 191.723762 \nL 361.849284 194.996316 \nL 362.726853 198.273366 \nL 363.351129 201.545734 \nL 363.729616 204.803666 \nL 363.870232 208.036868 \nL 363.781273 211.234562 \nL 363.471312 214.385521 \nL 362.94907 217.478155 \nL 362.223395 220.500562 \nL 361.303185 223.440587 \nL 360.197267 226.285933 \nL 358.914373 229.024214 \nL 357.463063 231.643025 \nL 355.851647 234.13007 \nL 354.088158 236.473207 \nL 352.1803 238.660554 \nL 350.135369 240.680567 \nL 347.960275 242.522137 \nL 345.661458 244.17463 \nL 343.24492 245.628045 \nL 340.716148 246.873008 \nL 338.080163 247.90092 \nL 335.341488 248.703944 \nL 332.504151 249.275099 \nL 329.571682 249.60835 \nL 326.547178 249.698601 \nL 323.433303 249.541767 \nL 320.232309 249.134776 \nL 316.946045 248.475628 \nL 313.576054 247.563376 \nL 310.123584 246.39813 \nL 306.589639 244.981083 \nL 302.975054 243.314502 \nL 298.532056 240.989927 \nL 293.974979 238.318421 \nL 289.304896 235.309628 \nL 284.523071 231.975122 \nL 278.805201 227.691126 \nL 272.94085 223.00614 \nL 266.065527 217.195491 \nL 259.014888 210.940389 \nL 250.890004 203.431524 \nL 241.652674 194.587151 \nL 230.339583 183.419377 \nL 217.916921 170.841596 \nL 203.5833 156.012447 \nL 189.557371 141.187978 \nL 177.942782 128.610366 \nL 168.721695 118.328108 \nL 160.978538 109.372383 \nL 154.64516 101.700279 \nL 149.601675 95.234098 \nL 145.69447 89.876819 \nL 142.302297 84.821359 \nL 139.833353 80.742012 \nL 137.792126 76.907608 \nL 136.431725 73.905689 \nL 135.391348 71.084329 \nL 134.679271 68.447273 \nL 134.350564 66.472477 \nL 134.239049 64.61902 \nL 134.34678 62.888013 \nL 134.675112 61.280321 \nL 135.224693 59.796608 \nL 135.995435 58.437296 \nL 136.986529 57.202609 \nL 138.196404 56.092557 \nL 139.622763 55.106981 \nL 141.26257 54.245525 \nL 143.112048 53.507682 \nL 145.16671 52.892788 \nL 148.015595 52.295832 \nL 151.165271 51.887903 \nL 154.602494 51.666892 \nL 158.312507 51.630508 \nL 163.101753 51.827072 \nL 168.23008 52.281471 \nL 173.664673 52.989106 \nL 179.370662 53.945321 \nL 185.311418 55.145532 \nL 191.448958 56.585291 \nL 197.744279 58.260306 \nL 204.157756 60.166584 \nL 210.649518 62.30038 \nL 217.179808 64.658226 \nL 223.709359 67.236942 \nL 230.199739 70.033589 \nL 236.613688 73.045428 \nL 242.915434 76.269835 \nL 249.070974 79.704263 \nL 254.065781 82.724827 \nL 258.919516 85.887822 \nL 263.616053 89.191514 \nL 268.140516 92.633998 \nL 272.479344 96.213124 \nL 276.620325 99.926447 \nL 280.552645 103.771161 \nL 284.266912 107.74407 \nL 287.755162 111.841485 \nL 291.010852 116.059218 \nL 294.028861 120.392499 \nL 296.805493 124.835949 \nL 299.338382 129.383515 \nL 301.626503 134.028447 \nL 303.670092 138.763262 \nL 305.470593 143.579708 \nL 307.030606 148.468764 \nL 308.353752 153.42061 \nL 309.444671 158.424634 \nL 310.30889 163.469433 \nL 310.9527 168.542826 \nL 311.383139 173.631876 \nL 311.607841 178.722923 \nL 311.634943 183.801626 \nL 311.472997 188.853004 \nL 311.041648 194.856657 \nL 310.366646 200.770718 \nL 309.463972 206.566482 \nL 308.349662 212.214618 \nL 307.039581 217.685366 \nL 305.549257 222.948812 \nL 303.893705 227.975143 \nL 302.087279 232.734922 \nL 300.143573 237.199412 \nL 298.075307 241.340827 \nL 295.894258 245.132646 \nL 293.998345 248.007382 \nL 292.037266 250.608478 \nL 290.016191 252.923432 \nL 287.939755 254.940829 \nL 285.812106 256.650419 \nL 284.075581 257.790396 \nL 282.310274 258.723617 \nL 280.517637 259.446667 \nL 278.698949 259.956726 \nL 276.855316 260.251551 \nL 274.987705 260.329532 \nL 273.096892 260.189674 \nL 271.183565 259.831593 \nL 269.248256 259.255557 \nL 267.291417 258.462436 \nL 265.313389 257.453742 \nL 262.811481 255.89296 \nL 260.277316 254.004073 \nL 257.711212 251.793913 \nL 255.113462 249.270658 \nL 252.484366 246.443761 \nL 249.288601 242.665772 \nL 246.049126 238.486445 \nL 242.216213 233.133595 \nL 238.32848 227.304307 \nL 233.823598 220.112622 \nL 229.2611 212.419259 \nL 224.073791 203.250064 \nL 218.267719 192.540994 \nL 211.873216 180.286972 \nL 204.96004 166.558879 \nL 198.208994 152.674544 \nL 191.736647 138.845611 \nL 186.160321 126.383434 \nL 181.481227 115.348909 \nL 177.660161 105.734783 \nL 174.625882 97.48971 \nL 172.28541 90.537059 \nL 170.267015 83.850991 \nL 168.812683 78.346445 \nL 167.628514 73.061756 \nL 166.727901 68.005923 \nL 166.122562 63.186724 \nL 165.850855 59.356271 \nL 165.795742 55.697968 \nL 165.960812 52.214539 \nL 166.348553 48.908232 \nL 166.960277 45.78084 \nL 167.796083 42.833751 \nL 168.854847 40.067976 \nL 170.134148 37.48418 \nL 171.630317 35.082727 \nL 173.33839 32.863686 \nL 175.252132 30.826922 \nL 177.364066 28.972078 \nL 179.665491 27.298657 \nL 182.146547 25.806036 \nL 184.796237 24.493468 \nL 187.602519 23.360189 \nL 190.552362 22.405394 \nL 193.631844 21.628278 \nL 196.826217 21.028061 \nL 200.12002 20.604019 \nL 204.181175 20.326834 \nL 208.333641 20.301482 \nL 212.547952 20.527274 \nL 216.794163 21.003746 \nL 221.042154 21.730682 \nL 225.261923 22.708106 \nL 229.423876 23.936292 \nL 232.827135 25.151662 \nL 236.153945 26.541854 \nL 239.388672 28.107276 \nL 242.516351 29.848352 \nL 245.522793 31.765537 \nL 248.394671 33.85924 \nL 251.119584 36.12979 \nL 253.686152 38.577413 \nL 256.084055 41.202218 \nL 258.304087 44.004103 \nL 260.338205 46.982737 \nL 262.179563 50.13753 \nL 263.82251 53.467579 \nL 265.262615 56.971595 \nL 266.49667 60.647912 \nL 267.52265 64.494402 \nL 268.339716 68.508452 \nL 268.948195 72.686949 \nL 269.349487 77.026165 \nL 269.546067 81.521801 \nL 269.541389 86.168909 \nL 269.339853 90.961872 \nL 268.845585 96.897022 \nL 268.085973 103.020799 \nL 267.072968 109.319396 \nL 265.819728 115.777409 \nL 264.072913 123.490462 \nL 262.042145 131.367514 \nL 259.752117 139.375832 \nL 256.84981 148.643087 \nL 253.679459 157.977531 \nL 250.278053 167.317131 \nL 246.681263 176.595888 \nL 242.443216 186.875257 \nL 238.540195 195.791027 \nL 234.538773 204.421234 \nL 230.464148 212.69099 \nL 226.33841 220.52566 \nL 222.701465 226.966456 \nL 219.050811 232.970552 \nL 215.917779 237.734913 \nL 212.786357 242.118151 \nL 209.660718 246.09512 \nL 207.063003 249.082204 \nL 204.473524 251.758974 \nL 201.893822 254.114512 \nL 199.325268 256.139231 \nL 196.769116 257.824938 \nL 194.73392 258.924838 \nL 192.708006 259.800688 \nL 190.691979 260.450381 \nL 188.686461 260.872455 \nL 186.692113 261.066122 \nL 184.709656 261.031257 \nL 182.739884 260.768391 \nL 180.783665 260.278729 \nL 178.841986 259.564129 \nL 176.915932 258.627115 \nL 175.006732 257.470817 \nL 173.115739 256.098987 \nL 170.779918 254.087824 \nL 168.478242 251.756533 \nL 166.214428 249.116198 \nL 163.992656 246.179144 \nL 161.817558 242.958821 \nL 159.694232 239.469688 \nL 157.222481 234.949631 \nL 154.843901 230.092752 \nL 152.569998 224.928443 \nL 150.413196 219.487131 \nL 148.386773 213.799955 \nL 146.504776 207.898491 \nL 144.781928 201.814439 \nL 143.233442 195.579334 \nL 141.874949 189.22431 \nL 140.722275 182.779837 \nL 139.791273 176.27551 \nL 139.097619 169.739843 \nL 138.656583 163.200108 \nL 138.492639 157.765932 \nL 138.522373 152.361098 \nL 138.753316 146.999011 \nL 139.192413 141.692279 \nL 139.845899 136.452686 \nL 140.719225 131.291195 \nL 141.816972 126.217921 \nL 143.142744 121.242161 \nL 144.699127 116.372393 \nL 146.487583 111.616286 \nL 148.508383 106.980751 \nL 150.76057 102.471941 \nL 153.241908 98.095316 \nL 155.948815 93.85566 \nL 158.876358 89.757153 \nL 162.018249 85.803399 \nL 165.366814 81.997484 \nL 168.912989 78.342029 \nL 172.646367 74.839241 \nL 176.555221 71.491005 \nL 180.626526 68.298872 \nL 184.84603 65.264164 \nL 189.198309 62.388041 \nL 193.666853 59.671475 \nL 199.157832 56.623477 \nL 204.758954 53.808036 \nL 210.436602 51.226597 \nL 216.155825 48.880721 \nL 221.880644 46.772086 \nL 227.574379 44.902582 \nL 233.199995 43.274336 \nL 238.720454 41.889673 \nL 244.099067 40.751205 \nL 249.299855 39.861749 \nL 254.287914 39.224292 \nL 259.029731 38.841973 \nL 263.49355 38.718011 \nL 267.649678 38.855611 \nL 270.858267 39.172343 \nL 273.819693 39.674615 \nL 276.520881 40.364038 \nL 278.950171 41.242038 \nL 280.690972 42.081057 \nL 282.246784 43.042119 \nL 283.613806 44.12564 \nL 284.788906 45.33192 \nL 285.769635 46.661115 \nL 286.554229 48.11326 \nL 287.141605 49.68822 \nL 287.531365 51.385714 \nL 287.723785 53.205261 \nL 287.7198 55.146205 \nL 287.520996 57.207723 \nL 287.001957 59.95257 \nL 286.187676 62.881696 \nL 285.085225 65.992103 \nL 283.702987 69.280306 \nL 281.688603 73.455075 \nL 279.303929 77.871982 \nL 276.081594 83.318802 \nL 272.41948 89.066187 \nL 267.745069 95.978694 \nL 261.934953 104.156461 \nL 254.165553 114.657831 \nL 244.24502 127.654104 \nL 230.473053 145.303329 \nL 211.248756 169.564719 \nL 195.519104 189.091746 \nL 184.28252 202.689638 \nL 175.746622 212.670752 \nL 168.98095 220.262737 \nL 163.142173 226.5096 \nL 157.473217 232.231322 \nL 152.654026 236.770165 \nL 148.628514 240.290519 \nL 144.700004 243.45236 \nL 140.868164 246.241719 \nL 137.74855 248.272987 \nL 134.695676 250.031545 \nL 131.7095 251.512794 \nL 128.790191 252.713279 \nL 125.938129 253.630727 \nL 123.154002 254.264083 \nL 120.438814 254.613505 \nL 117.79395 254.680355 \nL 115.729907 254.532079 \nL 113.713155 254.206456 \nL 111.745027 253.705836 \nL 109.827043 253.033041 \nL 107.502773 251.954948 \nL 105.263487 250.620332 \nL 103.113593 249.037544 \nL 101.058059 247.21588 \nL 99.102351 245.165544 \nL 97.252513 242.897492 \nL 95.515068 240.423421 \nL 93.897056 237.755641 \nL 92.405961 234.906979 \nL 91.049677 231.890716 \nL 89.836483 228.720457 \nL 88.775002 225.410066 \nL 87.874115 221.973534 \nL 87.142922 218.424919 \nL 86.590629 214.778221 \nL 86.226549 211.047325 \nL 86.059941 207.245897 \nL 86.099992 203.387316 \nL 86.355727 199.484581 \nL 86.835847 195.550272 \nL 87.548733 191.596459 \nL 88.502291 187.634686 \nL 89.70388 183.675878 \nL 91.16021 179.730354 \nL 92.877286 175.807758 \nL 94.860287 171.917062 \nL 97.113483 168.066543 \nL 99.640183 164.263784 \nL 102.442618 160.515675 \nL 105.521939 156.828428 \nL 108.878051 153.207593 \nL 112.509654 149.658088 \nL 116.414158 146.184231 \nL 120.587632 142.789779 \nL 125.02479 139.477975 \nL 129.718983 136.2516 \nL 134.662131 133.113018 \nL 139.84479 130.064243 \nL 145.256102 127.106993 \nL 152.034194 123.68119 \nL 159.100214 120.391573 \nL 166.427761 117.240195 \nL 173.987881 114.229045 \nL 181.749163 111.360211 \nL 191.01322 108.196182 \nL 200.448219 105.233225 \nL 209.99388 102.476374 \nL 219.587152 99.931664 \nL 229.162829 97.606193 \nL 238.654212 95.508211 \nL 247.993799 93.647084 \nL 257.11402 92.033241 \nL 265.948019 90.678013 \nL 274.430381 89.593474 \nL 282.497979 88.792189 \nL 289.037254 88.340501 \nL 295.191873 88.114297 \nL 300.928489 88.121345 \nL 306.216447 88.369019 \nL 310.260278 88.764177 \nL 313.958885 89.334759 \nL 317.299597 90.083909 \nL 320.271408 91.014286 \nL 322.376991 91.890506 \nL 324.23668 92.884873 \nL 325.847346 93.997921 \nL 327.206631 95.229901 \nL 328.312982 96.580759 \nL 329.165553 98.050132 \nL 329.764313 99.637329 \nL 330.109948 101.341323 \nL 330.203896 103.160758 \nL 330.048313 105.09391 \nL 329.646053 107.138718 \nL 329.000627 109.292749 \nL 328.116197 111.553235 \nL 326.681884 114.523725 \nL 324.892202 117.648718 \nL 322.758977 120.920483 \nL 320.295212 124.330479 \nL 316.922177 128.59173 \nL 313.119252 133.020991 \nL 308.913782 137.599257 \nL 303.536664 143.101686 \nL 297.69691 148.74486 \nL 291.44172 154.492541 \nL 284.818291 160.306935 \nL 276.857478 166.983594 \nL 268.544139 173.636998 \nL 259.942909 180.207104 \nL 252.228683 185.840561 \nL 244.378923 191.324927 \nL 236.429076 196.621736 \nL 228.411793 201.693927 \nL 220.3569 206.506286 \nL 213.443353 210.399284 \nL 206.537582 214.057819 \nL 199.653731 217.464189 \nL 192.804708 220.602396 \nL 186.002315 223.458302 \nL 179.257376 226.019747 \nL 172.579902 228.276667 \nL 167.073637 229.919041 \nL 161.625867 231.341036 \nL 156.241572 232.540342 \nL 150.925608 233.515815 \nL 145.682795 234.267397 \nL 140.517979 234.796133 \nL 135.436076 235.104191 \nL 130.442159 235.19479 \nL 125.541461 235.072239 \nL 120.739483 234.741852 \nL 116.041939 234.209903 \nL 111.454907 233.48359 \nL 106.984791 232.571007 \nL 102.638336 231.481019 \nL 98.422666 230.22323 \nL 94.345265 228.807902 \nL 90.414028 227.245891 \nL 85.901082 225.193878 \nL 81.62532 222.967381 \nL 77.602271 220.587413 \nL 73.848022 218.075381 \nL 70.379073 215.452897 \nL 67.212294 212.741519 \nL 64.364683 209.962558 \nL 62.247768 207.610183 \nL 60.374063 205.237071 \nL 58.753208 202.854529 \nL 57.394588 200.473398 \nL 56.307264 198.103972 \nL 55.499901 195.75595 \nL 54.980714 193.438361 \nL 54.778031 191.611825 \nL 54.768327 189.814037 \nL 54.954976 188.048606 \nL 55.341042 186.31881 \nL 55.929263 184.627593 \nL 56.722007 182.977565 \nL 57.721345 181.370996 \nL 58.928895 179.809803 \nL 60.345925 178.295574 \nL 61.973281 176.829554 \nL 64.303851 175.066186 \nL 66.963578 173.380626 \nL 69.951276 171.773186 \nL 73.264631 170.243455 \nL 76.900272 168.790343 \nL 81.68204 167.145281 \nL 86.911487 165.603989 \nL 92.576543 164.16138 \nL 99.717039 162.595082 \nL 107.404406 161.144361 \nL 116.820635 159.613165 \nL 126.860622 158.200097 \nL 138.830452 156.72948 \nL 154.304943 155.069766 \nL 173.56113 153.255406 \nL 198.250913 151.179688 \nL 228.15869 148.902804 \nL 256.120857 146.988892 \nL 276.988422 145.762493 \nL 293.889693 144.984111 \nL 307.074652 144.59108 \nL 318.113724 144.481939 \nL 327.186189 144.611799 \nL 334.501971 144.922231 \nL 341.197293 145.433806 \nL 346.417069 146.043963 \nL 351.138449 146.821592 \nL 354.680924 147.602848 \nL 357.858981 148.508984 \nL 360.666489 149.542756 \nL 363.098713 150.706122 \nL 364.772028 151.730897 \nL 366.202007 152.839494 \nL 367.388152 154.031688 \nL 368.330612 155.306863 \nL 369.030063 156.664004 \nL 369.487753 158.101688 \nL 369.705467 159.618084 \nL 369.685532 161.21095 \nL 369.430758 162.877631 \nL 368.944466 164.61507 \nL 368.230407 166.419804 \nL 367.023977 168.764449 \nL 365.477377 171.199834 \nL 363.600575 173.716702 \nL 361.404373 176.304952 \nL 358.900251 178.953692 \nL 355.505896 182.195624 \nL 351.707326 185.486588 \nL 347.527056 188.804104 \nL 342.988128 192.124735 \nL 338.113808 195.424297 \nL 332.927381 198.678107 \nL 327.451934 201.861212 \nL 321.710213 204.948638 \nL 315.724404 207.915658 \nL 309.515998 210.738035 \nL 303.105754 213.392271 \nL 296.513555 215.855849 \nL 289.7584 218.107477 \nL 284.017688 219.80757 \nL 278.186358 221.336056 \nL 272.273992 222.683215 \nL 266.289742 223.840281 \nL 260.242434 224.799509 \nL 254.140547 225.554224 \nL 247.992301 226.098899 \nL 241.80568 226.429178 \nL 235.588501 226.541892 \nL 229.34848 226.435147 \nL 223.093286 226.108271 \nL 216.8306 225.561861 \nL 210.568194 224.797761 \nL 204.313983 223.819067 \nL 198.076092 222.630096 \nL 191.862919 221.236342 \nL 185.68319 219.644455 \nL 179.545998 217.862189 \nL 173.460869 215.898351 \nL 166.241524 213.315904 \nL 159.129726 210.504759 \nL 152.144743 207.485254 \nL 145.306908 204.279229 \nL 138.637673 200.9098 \nL 132.159521 197.401122 \nL 125.895901 193.778158 \nL 119.871195 190.066445 \nL 114.110489 186.291827 \nL 107.757599 181.843155 \nL 102.657468 178.020862 \nL 97.903648 174.216764 \nL 93.522237 170.455371 \nL 89.53889 166.760286 \nL 85.978614 163.15398 \nL 82.865416 159.657606 \nL 80.629047 156.842166 \nL 78.731295 154.12725 \nL 77.183585 151.522508 \nL 75.996362 149.036689 \nL 75.312459 147.138939 \nL 74.869515 145.325866 \nL 74.67125 143.600618 \nL 74.720814 141.965926 \nL 75.020796 140.424111 \nL 75.573173 138.977076 \nL 76.37932 137.626313 \nL 77.439976 136.372907 \nL 78.755226 135.217541 \nL 80.324509 134.160498 \nL 82.1466 133.201686 \nL 84.219617 132.340644 \nL 87.159823 131.400553 \nL 90.481677 130.609603 \nL 94.177219 129.964706 \nL 98.236937 129.462083 \nL 103.57383 129.040493 \nL 109.397692 128.808765 \nL 116.775099 128.76557 \nL 124.739088 128.951305 \nL 134.498415 129.421629 \nL 144.885966 130.141766 \nL 157.221356 131.217615 \nL 171.590383 132.700607 \nL 188.001512 134.629171 \nL 206.358275 137.029247 \nL 224.890284 139.687508 \nL 241.775222 142.320752 \nL 258.332838 145.127456 \nL 272.924571 147.827768 \nL 285.556545 150.384119 \nL 296.304191 152.763594 \nL 306.533723 155.251893 \nL 315.014838 157.525247 \nL 323.021922 159.894608 \nL 330.525018 162.365818 \nL 336.535445 164.569079 \nL 342.142723 166.853839 \nL 347.335344 169.222211 \nL 352.104026 171.675484 \nL 355.749011 173.784996 \nL 359.09192 175.953313 \nL 362.130969 178.179473 \nL 364.865469 180.46189 \nL 367.295716 182.798328 \nL 369.423011 185.185873 \nL 371.249625 187.620916 \nL 372.778657 190.099133 \nL 374.014071 192.615489 \nL 374.960642 195.164225 \nL 375.623838 197.738881 \nL 376.009787 200.332315 \nL 376.125225 202.936711 \nL 375.977369 205.543621 \nL 375.573904 208.144016 \nL 374.922854 210.72831 \nL 374.03259 213.286422 \nL 372.911641 215.807827 \nL 371.568697 218.281636 \nL 370.012542 220.696644 \nL 368.251938 223.04142 \nL 366.295595 225.304358 \nL 364.152128 227.473784 \nL 361.829919 229.538016 \nL 359.33716 231.485476 \nL 356.681757 233.304708 \nL 353.87131 234.984529 \nL 350.91306 236.51409 \nL 347.813868 237.882949 \nL 344.580201 239.081143 \nL 341.218148 240.099292 \nL 337.733355 240.92864 \nL 334.131073 241.561132 \nL 330.416135 241.989499 \nL 326.592957 242.207256 \nL 322.665642 242.208816 \nL 318.637932 241.989491 \nL 314.513239 241.545551 \nL 310.294747 240.874242 \nL 305.985394 239.973836 \nL 301.587943 238.843596 \nL 297.105037 237.483819 \nL 292.53925 235.895817 \nL 286.954549 233.69234 \nL 281.258819 231.169608 \nL 275.456922 228.335597 \nL 269.55419 225.200236 \nL 263.556575 221.775343 \nL 256.448494 217.431893 \nL 249.232838 212.737261 \nL 241.924045 207.7186 \nL 233.478795 201.624333 \nL 224.963324 195.193291 \nL 215.342369 187.619098 \nL 205.732773 179.758788 \nL 196.199797 171.690889 \nL 185.787399 162.580491 \nL 175.673426 153.422992 \nL 165.981159 144.327481 \nL 157.727436 136.282283 \nL 150.021909 128.44742 \nL 143.714867 121.716479 \nL 138.673099 116.045035 \nL 134.125033 110.607318 \nL 130.653399 106.152553 \nL 127.603665 101.904223 \nL 125.000521 97.876201 \nL 123.188725 94.696815 \nL 121.714531 91.685491 \nL 120.588414 88.847907 \nL 119.944213 86.706286 \nL 119.532483 84.681235 \nL 119.356468 82.774642 \nL 119.418748 80.988101 \nL 119.721161 79.322906 \nL 120.264818 77.780072 \nL 121.050089 76.360318 \nL 122.076592 75.064095 \nL 123.343135 73.891593 \nL 124.847803 72.842746 \nL 126.587869 71.917229 \nL 128.55985 71.114546 \nL 130.759514 70.433922 \nL 133.8216 69.753374 \nL 137.220262 69.259876 \nL 140.942468 68.950815 \nL 144.97355 68.8233 \nL 150.195656 68.905407 \nL 155.808479 69.238459 \nL 161.778697 69.816264 \nL 168.07065 70.632512 \nL 175.767569 71.877699 \nL 183.788551 73.428868 \nL 192.068834 75.276523 \nL 200.542278 77.411656 \nL 209.142157 79.825975 \nL 217.801981 82.511942 \nL 226.456283 85.462792 \nL 233.821504 88.198314 \nL 241.097112 91.120545 \nL 248.246023 94.226333 \nL 255.233056 97.512713 \nL 262.025191 100.976805 \nL 268.591773 104.615703 \nL 273.871281 107.779446 \nL 278.959764 111.060534 \nL 283.843766 114.456834 \nL 288.511212 117.965964 \nL 292.951472 121.585222 \nL 297.155356 125.311516 \nL 301.115127 129.141327 \nL 304.82449 133.070647 \nL 308.278588 137.094922 \nL 311.473937 141.209013 \nL 314.408457 145.407153 \nL 317.081364 149.682905 \nL 319.493166 154.02914 \nL 321.645534 158.438009 \nL 323.541299 162.900926 \nL 325.18432 167.408565 \nL 326.579438 171.950863 \nL 327.732382 176.517016 \nL 328.649685 181.095514 \nL 329.338545 185.674162 \nL 329.806752 190.240108 \nL 330.062646 194.779896 \nL 330.114937 199.279516 \nL 329.972662 203.724465 \nL 329.558131 208.965203 \nL 328.892948 214.079273 \nL 327.993361 219.039738 \nL 326.875467 223.819383 \nL 325.555038 228.390958 \nL 324.047284 232.727434 \nL 322.366823 236.802266 \nL 320.527439 240.589644 \nL 318.882537 243.508293 \nL 317.143189 246.196419 \nL 315.315845 248.641071 \nL 313.406402 250.83012 \nL 311.420251 252.752361 \nL 309.362234 254.397591 \nL 307.236651 255.756679 \nL 305.490058 256.632538 \nL 303.704313 257.316631 \nL 301.880885 257.80597 \nL 300.021048 258.098097 \nL 298.12588 258.191095 \nL 296.196264 258.083603 \nL 294.232924 257.774823 \nL 292.23643 257.264524 \nL 290.2072 256.553046 \nL 287.625054 255.382187 \nL 284.992498 253.901395 \nL 282.309623 252.114987 \nL 279.576313 250.028549 \nL 276.79235 247.648912 \nL 273.384322 244.417731 \nL 269.90242 240.791977 \nL 266.346272 236.789773 \nL 262.103495 231.671631 \nL 257.13158 225.273245 \nL 252.031153 218.34316 \nL 246.146253 209.98588 \nL 238.760185 199.090747 \nL 229.802728 185.46563 \nL 217.853888 166.864354 \nL 203.111934 143.487369 \nL 191.640237 124.906378 \nL 183.449802 111.235021 \nL 177.096196 100.186336 \nL 172.394696 91.574488 \nL 168.656889 84.284098 \nL 165.769036 78.210339 \nL 163.272356 72.439383 \nL 161.466427 67.7451 \nL 159.987037 63.29224 \nL 158.84943 59.087752 \nL 158.17205 55.77805 \nL 157.747524 52.647803 \nL 157.581017 49.69941 \nL 157.676392 46.934814 \nL 157.942983 44.856502 \nL 158.379474 42.897379 \nL 158.985923 41.057885 \nL 159.761802 39.338317 \nL 160.705969 37.73881 \nL 161.816686 36.25938 \nL 163.091616 34.899952 \nL 164.52781 33.660318 \nL 166.121711 32.540197 \nL 167.869203 31.539214 \nL 170.262327 30.454846 \nL 172.877614 29.554955 \nL 175.703369 28.838437 \nL 178.726652 28.304131 \nL 181.933391 27.950807 \nL 185.308455 27.777246 \nL 189.558019 27.804549 \nL 193.997404 28.086955 \nL 198.595791 28.622598 \nL 203.321204 29.409775 \nL 208.140839 30.447051 \nL 213.021377 31.733196 \nL 217.929317 33.267215 \nL 222.831302 35.048361 \nL 227.694442 37.076085 \nL 232.486624 39.349989 \nL 236.403473 41.432767 \nL 240.232216 43.686167 \nL 243.956359 46.110065 \nL 247.560273 48.70423 \nL 251.029272 51.468394 \nL 254.349704 54.402111 \nL 257.509013 57.504773 \nL 260.495804 60.775559 \nL 263.299888 64.213357 \nL 265.912328 67.816706 \nL 268.325457 71.583787 \nL 270.53289 75.512352 \nL 272.529542 79.599652 \nL 274.311619 83.842424 \nL 275.876569 88.236815 \nL 277.223107 92.778352 \nL 278.351132 97.461893 \nL 279.261686 102.281591 \nL 279.956925 107.230862 \nL 280.44002 112.302355 \nL 280.715114 117.487928 \nL 280.787224 122.778618 \nL 280.662152 128.164652 \nL 280.26104 134.738734 \nL 279.597887 141.414861 \nL 278.686223 148.171407 \nL 277.540419 154.985087 \nL 276.175468 161.831023 \nL 274.606755 168.682829 \nL 272.539859 176.646895 \nL 270.241543 184.53486 \nL 267.736121 192.298541 \nL 265.047189 199.888222 \nL 262.197258 207.253144 \nL 259.207569 214.342035 \nL 256.097867 221.103676 \nL 252.886276 227.487531 \nL 250.064879 232.62137 \nL 247.190036 237.411632 \nL 244.270127 241.82985 \nL 241.31262 245.84923 \nL 238.824099 248.876094 \nL 236.317456 251.595573 \nL 233.795716 253.995689 \nL 231.261578 256.065774 \nL 229.226964 257.477931 \nL 227.187068 258.668812 \nL 225.142917 259.634955 \nL 223.095455 260.373545 \nL 221.045573 260.8824 \nL 218.994113 261.160033 \nL 216.94189 261.205624 \nL 214.889708 261.019013 \nL 212.838372 260.600757 \nL 210.788708 259.952077 \nL 208.741578 259.074857 \nL 206.697893 257.971645 \nL 204.658636 256.645637 \nL 202.624866 255.100677 \nL 200.092141 252.868378 \nL 197.572306 250.310872 \nL 195.068172 247.439456 \nL 192.58289 244.266666 \nL 190.119983 240.806189 \nL 187.199585 236.294656 \nL 184.324668 231.41729 \nL 181.503733 226.202888 \nL 178.746214 220.681548 \nL 175.623162 213.893613 \nL 172.618662 206.780869 \nL 169.75241 199.394542 \nL 167.045594 191.785892 \nL 164.520691 184.005647 \nL 162.201235 176.103469 \nL 160.111523 168.127459 \nL 158.27624 160.123765 \nL 156.924396 153.274707 \nL 155.792994 146.46362 \nL 154.896953 139.715054 \nL 154.250527 133.051947 \nL 153.86713 126.495573 \nL 153.757449 121.127621 \nL 153.845409 115.85781 \nL 154.136692 110.695721 \nL 154.636197 105.650103 \nL 155.347899 100.728906 \nL 156.274837 95.939292 \nL 157.418992 91.287661 \nL 158.781247 86.779685 \nL 160.361328 82.420331 \nL 162.157755 78.213925 \nL 164.16781 74.16418 \nL 166.387504 70.274224 \nL 168.811573 66.546673 \nL 171.433468 62.983668 \nL 174.245331 59.586936 \nL 177.238069 56.357814 \nL 180.401333 53.297363 \nL 183.723581 50.406323 \nL 187.192128 47.68525 \nL 190.793194 45.134526 \nL 194.511993 42.754399 \nL 198.332808 40.545037 \nL 202.239078 38.506555 \nL 207.014994 36.286093 \nL 211.857931 34.312136 \nL 216.735772 32.585048 \nL 221.61567 31.105369 \nL 226.464357 29.873837 \nL 231.248468 28.89144 \nL 235.934862 28.159416 \nL 240.490953 27.679225 \nL 244.885038 27.452528 \nL 249.086599 27.481192 \nL 252.419835 27.701581 \nL 255.583321 28.101881 \nL 258.562148 28.683305 \nL 261.342477 29.447039 \nL 263.911633 30.394247 \nL 266.258159 31.52599 \nL 267.968216 32.564884 \nL 269.524699 33.722909 \nL 270.923612 35.000421 \nL 272.161546 36.397686 \nL 273.235679 37.914879 \nL 274.143812 39.552048 \nL 274.884329 41.309153 \nL 275.456208 43.186012 \nL 275.859059 45.182308 \nL 276.093062 47.297568 \nL 276.149322 50.107986 \nL 275.945714 53.101729 \nL 275.486286 56.276761 \nL 274.776359 59.630634 \nL 273.822457 63.160376 \nL 272.366523 67.623371 \nL 270.585371 72.327723 \nL 268.49597 77.265373 \nL 265.693615 83.308558 \nL 262.049058 90.567175 \nL 257.981566 98.174164 \nL 252.965452 107.10827 \nL 246.308701 118.495302 \nL 237.872328 132.476566 \nL 226.248032 151.293547 \nL 212.238961 173.556323 \nL 200.434798 191.924435 \nL 191.633995 205.221348 \nL 184.399992 215.736241 \nL 178.647235 223.713837 \nL 173.667126 230.256584 \nL 169.415438 235.510758 \nL 165.263617 240.288061 \nL 161.784436 243.978456 \nL 158.378343 247.275906 \nL 155.044841 250.163974 \nL 152.322026 252.247748 \nL 149.649056 254.030529 \nL 147.025855 255.50673 \nL 144.452498 256.67201 \nL 141.929312 257.523405 \nL 139.947268 257.977414 \nL 137.998155 258.229289 \nL 136.082586 258.279411 \nL 134.201324 258.128728 \nL 132.355307 257.77875 \nL 130.545668 257.231544 \nL 128.773728 256.489716 \nL 127.041002 255.556413 \nL 125.349242 254.435295 \nL 123.295136 252.776152 \nL 121.312367 250.839235 \nL 119.405799 248.634803 \nL 117.580802 246.174114 \nL 115.843283 243.469336 \nL 114.199691 240.533478 \nL 112.656981 237.380261 \nL 110.949345 233.329728 \nL 109.411307 229.012634 \nL 108.057338 224.455524 \nL 106.902576 219.685459 \nL 105.962684 214.729776 \nL 105.25373 209.615805 \nL 104.79195 204.370634 \nL 104.607627 199.918662 \nL 104.615502 195.409131 \nL 104.824644 190.856682 \nL 105.243837 186.275471 \nL 105.881484 181.679113 \nL 106.745524 177.080634 \nL 107.843271 172.492402 \nL 109.181384 167.926109 \nL 110.765751 163.392739 \nL 112.601393 158.90254 \nL 114.6924 154.46502 \nL 117.041796 150.088947 \nL 119.651482 145.782345 \nL 122.5222 141.552517 \nL 125.65341 137.406063 \nL 129.043299 133.348911 \nL 132.688659 129.386345 \nL 136.584909 125.523057 \nL 140.726022 121.763179 \nL 145.104552 118.110347 \nL 149.711578 114.567755 \nL 154.536752 111.138192 \nL 159.568273 107.824115 \nL 164.792947 104.627719 \nL 170.196211 101.550978 \nL 176.893404 98.019376 \nL 183.794985 94.665644 \nL 190.868686 91.492679 \nL 198.080018 88.503391 \nL 205.392502 85.700879 \nL 212.767949 83.088477 \nL 221.399299 80.285803 \nL 229.997613 77.753267 \nL 238.496803 75.498057 \nL 246.830224 73.528117 \nL 254.93148 71.852073 \nL 262.735238 70.479156 \nL 270.178048 69.419068 \nL 276.22417 68.76696 \nL 281.924171 68.358284 \nL 287.244041 68.199216 \nL 292.152328 68.295685 \nL 295.907449 68.575285 \nL 299.341955 69.039139 \nL 302.44257 69.689878 \nL 305.197713 70.529743 \nL 307.146424 71.339068 \nL 308.863532 72.271342 \nL 310.3456 73.327087 \nL 311.589956 74.506596 \nL 312.594717 75.809908 \nL 313.358773 77.236833 \nL 313.881776 78.786898 \nL 314.164127 80.459373 \nL 314.207 82.253236 \nL 314.012286 84.167192 \nL 313.582586 86.199623 \nL 312.921209 88.348652 \nL 311.774755 91.195513 \nL 310.281608 94.216151 \nL 308.452266 97.40488 \nL 306.298567 100.755296 \nL 303.304331 104.979167 \nL 299.88622 109.411992 \nL 295.397818 114.827649 \nL 290.412468 120.48123 \nL 284.165708 127.19742 \nL 277.400955 134.141858 \nL 269.260285 142.166585 \nL 260.654735 150.34554 \nL 250.665805 159.521164 \nL 240.348599 168.684766 \nL 229.818784 177.726444 \nL 220.246244 185.66883 \nL 210.652592 193.344495 \nL 202.154459 199.88144 \nL 193.721094 206.095659 \nL 186.41896 211.23008 \nL 179.207046 216.049744 \nL 172.100247 220.526644 \nL 165.111295 224.635407 \nL 159.222838 227.847122 \nL 153.43492 230.759612 \nL 147.752831 233.362492 \nL 142.181385 235.64728 \nL 136.725075 237.607498 \nL 132.269223 238.989846 \nL 127.898837 240.142293 \nL 123.61648 241.064422 \nL 119.424847 241.756875 \nL 115.326791 242.221268 \nL 111.325411 242.460251 \nL 107.424035 242.47746 \nL 103.626332 242.277451 \nL 99.936308 241.86572 \nL 96.358338 241.248651 \nL 92.897168 240.433424 \nL 89.557958 239.428033 \nL 86.346299 238.241128 \nL 83.268193 236.882049 \nL 80.330059 235.360673 \nL 77.53867 233.687393 \nL 74.901215 231.873009 \nL 72.425241 229.928671 \nL 70.118613 227.865783 \nL 67.989468 225.695917 \nL 66.046169 223.430754 \nL 64.297266 221.081956 \nL 62.751449 218.661138 \nL 61.417479 216.179741 \nL 60.304109 213.649006 \nL 59.420039 211.079861 \nL 58.77383 208.482858 \nL 58.373822 205.868136 \nL 58.22808 203.245324 \nL 58.344321 200.623542 \nL 58.729795 198.011293 \nL 59.391267 195.416465 \nL 60.123348 193.358026 \nL 61.038907 191.318763 \nL 62.445293 188.801354 \nL 64.146736 186.324156 \nL 66.146787 183.891873 \nL 68.44812 181.508501 \nL 71.052511 179.177331 \nL 73.960732 176.900971 \nL 77.172592 174.681365 \nL 80.686824 172.519829 \nL 84.501122 170.417086 \nL 88.612105 168.373304 \nL 93.93049 165.9981 \nL 99.659675 163.7059 \nL 105.787526 161.494515 \nL 112.299539 159.361135 \nL 120.360045 156.966407 \nL 128.890269 154.667737 \nL 139.170046 152.150852 \nL 149.96104 149.743534 \nL 162.632748 147.157301 \nL 177.256319 144.426401 \nL 192.309589 141.840969 \nL 209.175464 139.167706 \nL 227.687393 136.472119 \nL 246.024148 134.041604 \nL 262.416309 132.091314 \nL 276.767029 130.593708 \nL 289.084666 129.50886 \nL 300.70883 128.710587 \nL 310.365536 128.271949 \nL 318.230968 128.11901 \nL 325.502123 128.19954 \nL 331.229279 128.4667 \nL 336.464688 128.926681 \nL 341.187241 129.587884 \nL 344.71774 130.297849 \nL 347.870545 131.15607 \nL 350.638362 132.165292 \nL 352.571514 133.082736 \nL 354.252397 134.09871 \nL 355.679459 135.213473 \nL 356.851842 136.426909 \nL 357.769346 137.738505 \nL 358.432425 139.147364 \nL 358.842147 140.652174 \nL 359.000235 142.251214 \nL 358.909035 143.942348 \nL 358.571433 145.72303 \nL 357.990939 147.590296 \nL 357.171537 149.540777 \nL 355.818277 152.090114 \nL 354.108727 154.755324 \nL 352.053838 157.527254 \nL 349.665481 160.395869 \nL 346.377251 163.950483 \nL 342.650495 167.608411 \nL 338.509736 171.347994 \nL 333.9803 175.146313 \nL 329.088169 178.979403 \nL 323.859567 182.822451 \nL 318.320815 186.650038 \nL 312.497978 190.436361 \nL 306.416732 194.155476 \nL 300.1021 197.781566 \nL 293.578343 201.289148 \nL 286.868814 204.653368 \nL 279.99586 207.850208 \nL 272.980757 210.856742 \nL 265.843691 213.651359 \nL 258.603728 216.213979 \nL 252.504853 218.158998 \nL 246.35693 219.920553 \nL 240.169389 221.490035 \nL 233.951239 222.859906 \nL 227.711123 224.023733 \nL 221.457366 224.976249 \nL 215.198032 225.713383 \nL 208.940988 226.232274 \nL 202.693962 226.531324 \nL 196.464614 226.610194 \nL 190.260588 226.469779 \nL 184.089592 226.11223 \nL 177.959451 225.540951 \nL 171.878167 224.760506 \nL 165.853973 223.776661 \nL 159.895394 222.596285 \nL 154.011271 221.227327 \nL 148.210827 219.678739 \nL 142.503665 217.960417 \nL 135.792366 215.689597 \nL 129.248028 213.209964 \nL 122.889726 210.542998 \nL 116.737406 207.711366 \nL 110.811858 204.738675 \nL 105.134636 201.649225 \nL 99.727927 198.467767 \nL 94.614435 195.219257 \nL 89.817192 191.928573 \nL 85.359412 188.620297 \nL 81.264232 185.31846 \nL 77.554483 182.046312 \nL 74.25249 178.826113 \nL 71.379754 175.678913 \nL 69.328522 173.126233 \nL 67.600781 170.648486 \nL 66.206952 168.255413 \nL 65.156613 165.955892 \nL 64.569523 164.18902 \nL 64.211796 162.490786 \nL 64.086951 160.86444 \nL 64.198044 159.312825 \nL 64.547611 157.838381 \nL 65.137703 156.443132 \nL 65.96982 155.128696 \nL 67.044905 153.896282 \nL 68.363357 152.746696 \nL 69.924998 151.68035 \nL 71.729078 150.697268 \nL 73.774263 149.797104 \nL 76.66683 148.78739 \nL 79.928095 147.903971 \nL 83.551675 147.143932 \nL 88.367172 146.389579 \nL 93.67726 145.800113 \nL 99.463418 145.366854 \nL 106.787445 145.045889 \nL 115.867996 144.901933 \nL 125.646624 144.970464 \nL 137.397466 145.267915 \nL 152.690757 145.894738 \nL 171.822975 146.924893 \nL 196.447603 148.493286 \nL 226.355402 150.626484 \nL 254.388841 152.835725 \nL 275.386846 154.691376 \nL 292.484005 156.417031 \nL 305.915757 157.986021 \nL 317.260138 159.528655 \nL 326.683396 161.025162 \nL 334.376439 162.446171 \nL 341.521978 163.983535 \nL 347.190691 165.402091 \nL 352.423087 166.920138 \nL 357.206937 168.542866 \nL 361.532283 170.274434 \nL 364.780865 171.802724 \nL 367.702425 173.409693 \nL 370.29484 175.095661 \nL 372.557074 176.860217 \nL 374.489201 178.702172 \nL 375.797918 180.230163 \nL 376.897071 181.805044 \nL 377.788107 183.425084 \nL 378.472844 185.088205 \nL 378.953503 186.791982 \nL 379.23263 188.533655 \nL 379.313122 190.310119 \nL 379.198203 192.11794 \nL 378.891372 193.953363 \nL 378.243725 196.280225 \nL 377.310028 198.635219 \nL 376.098704 201.009045 \nL 374.618633 203.391757 \nL 372.879053 205.77283 \nL 370.889456 208.141218 \nL 368.659589 210.485421 \nL 366.199311 212.793568 \nL 362.956776 215.498599 \nL 359.413804 218.112748 \nL 355.587297 220.614375 \nL 351.493829 222.981813 \nL 347.149499 225.193608 \nL 342.569844 227.228766 \nL 338.584478 228.775095 \nL 334.454278 230.173307 \nL 330.187079 231.4126 \nL 325.790415 232.482773 \nL 321.27138 233.374288 \nL 316.636729 234.078362 \nL 311.892866 234.587035 \nL 307.045859 234.893216 \nL 302.101496 234.990746 \nL 297.065261 234.874463 \nL 291.94243 234.540216 \nL 286.738103 233.984916 \nL 281.457243 233.206579 \nL 276.104764 232.204318 \nL 270.68556 230.978365 \nL 265.204574 229.530056 \nL 259.666874 227.861873 \nL 254.077715 225.977361 \nL 247.31056 223.437038 \nL 240.48737 220.60199 \nL 233.619086 217.484344 \nL 226.71762 214.098213 \nL 219.795986 210.459571 \nL 212.86844 206.586131 \nL 204.799708 201.796156 \nL 196.771421 196.745909 \nL 188.813557 191.470646 \nL 180.958906 186.007463 \nL 173.243041 180.394894 \nL 164.644055 173.848371 \nL 156.33747 167.218354 \nL 148.38802 160.564982 \nL 140.863344 153.947797 \nL 134.6824 148.233207 \nL 128.927165 142.628516 \nL 123.644724 137.169743 \nL 119.528276 132.632807 \nL 115.821392 128.248262 \nL 112.551078 124.034867 \nL 109.742778 120.009913 \nL 107.772524 116.811102 \nL 106.151986 113.762294 \nL 104.892399 110.870852 \nL 104.151333 108.675419 \nL 103.652071 106.58783 \nL 103.398375 104.610681 \nL 103.393397 102.746184 \nL 103.639577 100.996217 \nL 104.138638 99.362289 \nL 104.891606 97.845574 \nL 105.898713 96.446902 \nL 107.159474 95.166771 \nL 108.67264 94.005355 \nL 110.436151 92.96253 \nL 112.447247 92.037877 \nL 114.702346 91.230694 \nL 117.197146 90.54003 \nL 120.644944 89.838704 \nL 124.447869 89.314741 \nL 128.592803 88.964846 \nL 133.06498 88.785333 \nL 138.840541 88.789118 \nL 145.033029 89.024971 \nL 151.608998 89.485048 \nL 159.717793 90.294456 \nL 168.239508 91.385233 \nL 177.110928 92.74474 \nL 186.266601 94.36085 \nL 195.639638 96.222176 \nL 205.162493 98.318277 \nL 214.767701 100.639772 \nL 224.388614 103.17841 \nL 233.960102 105.927105 \nL 243.4192 108.879852 \nL 252.705721 112.031653 \nL 260.485039 114.888446 \nL 268.062137 117.886144 \nL 275.405661 121.022717 \nL 282.486717 124.29622 \nL 289.278968 127.704652 \nL 295.758811 131.245817 \nL 300.904907 134.296354 \nL 305.808977 137.435568 \nL 310.461873 140.661426 \nL 314.85582 143.971523 \nL 318.984433 147.363034 \nL 322.842736 150.832667 \nL 326.427069 154.376601 \nL 329.735086 157.990452 \nL 332.765774 161.669228 \nL 335.519257 165.407302 \nL 337.996912 169.198386 \nL 340.2012 173.035502 \nL 342.135599 176.910991 \nL 343.804581 180.81649 \nL 345.213472 184.742957 \nL 346.368393 188.680665 \nL 347.276204 192.619241 \nL 347.944367 196.547685 \nL 348.380885 200.454426 \nL 348.594181 204.327335 \nL 348.593018 208.153811 \nL 348.386434 211.920843 \nL 347.983646 215.615056 \nL 347.393914 219.222788 \nL 346.626517 222.730191 \nL 345.690653 226.123312 \nL 344.595358 229.388155 \nL 343.349481 232.510798 \nL 341.961561 235.477487 \nL 340.439801 238.274715 \nL 338.792034 240.889342 \nL 337.025627 243.308691 \nL 335.147525 245.520594 \nL 333.164175 247.513536 \nL 331.081476 249.276734 \nL 328.904839 250.800203 \nL 326.639096 252.074851 \nL 324.28858 253.092536 \nL 322.349657 253.716835 \nL 320.360599 254.168935 \nL 318.322887 254.446128 \nL 316.237799 254.546191 \nL 314.106424 254.467354 \nL 311.378467 254.115375 \nL 308.581001 253.48055 \nL 305.71504 252.562695 \nL 302.781276 251.362866 \nL 299.7801 249.883278 \nL 296.711683 248.127351 \nL 293.576012 246.09966 \nL 289.724232 243.315764 \nL 285.775068 240.160563 \nL 281.728226 236.647955 \nL 276.883333 232.119389 \nL 271.905826 227.154096 \nL 266.056823 220.984538 \nL 259.277652 213.472979 \nL 251.511181 204.507898 \nL 241.899263 193.040946 \nL 229.527747 177.905656 \nL 211.870902 155.915128 \nL 193.653822 132.886554 \nL 181.925101 117.737287 \nL 173.248422 106.179943 \nL 166.662493 97.038337 \nL 161.903758 90.096116 \nL 157.664363 83.518255 \nL 154.426426 78.083704 \nL 152.030173 73.677323 \nL 150.005943 69.513138 \nL 148.372509 65.599191 \nL 147.321794 62.533752 \nL 146.562098 59.650332 \nL 146.100233 56.951839 \nL 145.948852 54.927809 \nL 145.993627 53.024652 \nL 146.235976 51.243158 \nL 146.676689 49.583932 \nL 147.315859 48.047415 \nL 148.152918 46.633838 \nL 149.186599 45.343309 \nL 150.414967 44.175738 \nL 151.835395 43.13095 \nL 153.44456 42.208588 \nL 155.238487 41.408195 \nL 157.733577 40.578375 \nL 160.49957 39.936933 \nL 163.524492 39.482385 \nL 166.794922 39.213077 \nL 170.296099 39.127243 \nL 174.779491 39.263831 \nL 179.542261 39.658702 \nL 184.552551 40.308619 \nL 189.776758 41.210378 \nL 195.179859 42.360956 \nL 200.725769 43.757474 \nL 206.377688 45.397292 \nL 212.098466 47.278018 \nL 217.850961 49.397496 \nL 223.598389 51.753781 \nL 229.304666 54.345139 \nL 234.934738 57.169977 \nL 240.45489 60.226792 \nL 244.947848 62.950256 \nL 249.324584 65.832837 \nL 253.568532 68.873506 \nL 257.664223 72.071117 \nL 261.597357 75.424326 \nL 265.354872 78.931547 \nL 268.924988 82.590879 \nL 272.297257 86.40008 \nL 275.462598 90.356516 \nL 278.4133 94.457077 \nL 281.143038 98.698132 \nL 283.646843 103.075488 \nL 285.921117 107.584322 \nL 287.963602 112.219165 \nL 289.773315 116.973827 \nL 291.350499 121.84138 \nL 292.696614 126.814129 \nL 293.814212 131.883572 \nL 294.706902 137.04039 \nL 295.379246 142.274438 \nL 295.836687 147.574734 \nL 296.085462 152.929471 \nL 296.132489 158.32602 \nL 295.985315 163.750959 \nL 295.563712 170.278327 \nL 294.888715 176.800207 \nL 293.975603 183.289314 \nL 292.840062 189.717125 \nL 291.497959 196.054038 \nL 289.965121 202.269594 \nL 288.257173 208.332681 \nL 286.389371 214.211785 \nL 284.376436 219.875253 \nL 282.232419 225.291583 \nL 279.970618 230.429681 \nL 277.60347 235.259224 \nL 275.142485 239.7509 \nL 272.598222 243.876767 \nL 270.421316 247.01651 \nL 268.198245 249.869722 \nL 265.933564 252.423252 \nL 263.631353 254.665105 \nL 261.29525 256.584524 \nL 259.404146 257.881544 \nL 257.494893 258.962002 \nL 255.568813 259.822329 \nL 253.627083 260.459612 \nL 251.670764 260.871534 \nL 249.700804 261.056451 \nL 247.718044 261.01336 \nL 245.723249 260.74196 \nL 243.717115 260.242586 \nL 241.700279 259.516231 \nL 239.673346 258.564574 \nL 237.636905 257.389914 \nL 235.591532 255.995197 \nL 233.023157 253.947832 \nL 230.442973 251.570512 \nL 227.852322 248.872881 \nL 225.252711 245.86589 \nL 222.123788 241.866367 \nL 218.987922 237.462111 \nL 215.849218 232.678316 \nL 212.190305 226.653584 \nL 208.543227 220.194364 \nL 204.918714 213.348146 \nL 200.820141 205.112881 \nL 196.788958 196.510583 \nL 192.849843 187.616062 \nL 188.563025 177.352652 \nL 184.471663 166.916093 \nL 181.0375 157.573763 \nL 177.831092 148.238558 \nL 174.889474 138.972333 \nL 172.56244 130.966239 \nL 170.492314 123.092524 \nL 168.70391 115.383824 \nL 167.413373 108.930269 \nL 166.36166 102.636745 \nL 165.562051 96.518595 \nL 165.026654 90.589605 \nL 164.766173 84.862002 \nL 164.765734 80.250656 \nL 164.96688 75.79211 \nL 165.373008 71.491179 \nL 165.986497 67.35203 \nL 166.808674 63.378249 \nL 167.839754 59.572832 \nL 169.078809 55.938304 \nL 170.523723 52.476682 \nL 172.171184 49.189542 \nL 174.016658 46.078081 \nL 176.054408 43.143136 \nL 178.277482 40.385239 \nL 180.677749 37.804664 \nL 183.245914 35.401443 \nL 185.971579 33.175454 \nL 188.843283 31.12642 \nL 191.848567 29.253987 \nL 194.974036 27.557713 \nL 198.205453 26.037158 \nL 201.527817 24.691858 \nL 204.925465 23.521407 \nL 209.079126 22.347145 \nL 213.288896 21.423662 \nL 217.525203 20.750709 \nL 221.758089 20.328237 \nL 225.957503 20.156477 \nL 230.093599 20.235894 \nL 234.137027 20.567203 \nL 237.415125 21.036378 \nL 240.593038 21.681779 \nL 243.655409 22.504112 \nL 246.587611 23.50414 \nL 249.375826 24.682669 \nL 252.007153 26.040479 \nL 254.469671 27.578341 \nL 256.752525 29.296962 \nL 258.845979 31.196931 \nL 260.741472 33.278745 \nL 262.431657 35.542697 \nL 263.631845 37.485093 \nL 264.694171 39.544087 \nL 265.825177 42.281514 \nL 266.734864 45.200263 \nL 267.421705 48.299389 \nL 267.88542 51.577621 \nL 268.126933 55.033242 \nL 268.148369 58.664084 \nL 267.952947 62.467566 \nL 267.544975 66.440567 \nL 266.782356 71.426753 \nL 265.732254 76.644402 \nL 264.407285 82.084946 \nL 262.821565 87.738544 \nL 260.662613 94.588705 \nL 258.195991 101.69353 \nL 255.035771 110.095993 \nL 251.096557 119.863364 \nL 246.810138 129.904937 \nL 241.714308 141.300745 \nL 235.796562 154.006033 \nL 229.080748 167.895972 \nL 222.205095 181.608837 \nL 215.845753 193.829231 \nL 210.071362 204.490628 \nL 204.911739 213.602669 \nL 199.809231 222.153122 \nL 195.334397 229.203362 \nL 191.472511 234.893921 \nL 187.664737 240.094818 \nL 184.446091 244.134037 \nL 181.270402 247.76351 \nL 178.13851 250.963487 \nL 175.562523 253.289432 \nL 173.017703 255.29632 \nL 170.504385 256.976797 \nL 168.022967 258.324902 \nL 166.061144 259.160998 \nL 164.120408 259.779835 \nL 162.201182 260.180385 \nL 160.304001 260.36228 \nL 158.429503 260.325747 \nL 156.578471 260.071656 \nL 154.751819 259.601501 \nL 152.95062 258.917391 \nL 151.176122 258.022041 \nL 149.429729 256.918738 \nL 147.71305 255.611375 \nL 145.611747 253.697003 \nL 143.563634 251.48056 \nL 141.573165 248.97306 \nL 139.645298 246.186657 \nL 137.785493 243.134524 \nL 135.999732 239.830765 \nL 133.963711 235.555145 \nL 132.055753 230.965764 \nL 130.28886 226.090846 \nL 128.676894 220.959493 \nL 127.234458 215.601376 \nL 125.97671 210.046458 \nL 124.919331 204.324691 \nL 124.078229 198.465796 \nL 123.46947 192.498981 \nL 123.108963 186.452724 \nL 123.009486 181.37339 \nL 123.102039 176.273382 \nL 123.395003 171.167453 \nL 123.896337 166.069694 \nL 124.61344 160.993493 \nL 125.553099 155.951498 \nL 126.721286 150.955593 \nL 128.123179 146.016872 \nL 129.763029 141.145637 \nL 131.644075 136.351391 \nL 133.768458 131.642848 \nL 136.137155 127.027953 \nL 138.749918 122.513887 \nL 141.605193 118.107118 \nL 144.700105 113.813417 \nL 148.030378 109.637925 \nL 151.590357 105.585154 \nL 155.372934 101.659092 \nL 159.3696 97.86321 \nL 163.570398 94.200545 \nL 167.963965 90.673729 \nL 172.537568 87.285075 \nL 177.277129 84.036631 \nL 182.167291 80.930208 \nL 187.191473 77.967454 \nL 193.372359 74.603985 \nL 199.688034 71.452197 \nL 206.103928 68.514629 \nL 212.583795 65.793888 \nL 219.090016 63.29273 \nL 225.583913 61.014169 \nL 232.026097 58.961408 \nL 239.423575 56.856607 \nL 246.633491 55.07 \nL 253.593608 53.60811 \nL 259.314603 52.618765 \nL 264.770736 51.877593 \nL 269.926916 51.389184 \nL 274.750082 51.158112 \nL 279.209522 51.188827 \nL 282.627549 51.41745 \nL 285.758764 51.833074 \nL 288.589991 52.437766 \nL 291.109641 53.233344 \nL 292.894308 54.008269 \nL 294.468909 54.906931 \nL 295.829869 55.929812 \nL 296.974368 57.077203 \nL 297.900317 58.349228 \nL 298.606364 59.745804 \nL 299.091891 61.266666 \nL 299.357023 62.911307 \nL 299.402596 64.679037 \nL 299.230159 66.56892 \nL 298.841964 68.579793 \nL 298.057782 71.261369 \nL 296.948133 74.126501 \nL 295.521579 77.171312 \nL 293.788066 80.391345 \nL 291.318519 84.47945 \nL 288.444662 88.802591 \nL 284.612447 94.128337 \nL 280.302544 99.738935 \nL 274.847153 106.471568 \nL 268.114328 114.411032 \nL 260.008024 123.619728 \nL 249.593065 135.091959 \nL 236.774638 148.855979 \nL 222.59373 163.761816 \nL 208.289509 178.485874 \nL 196.012938 190.818156 \nL 185.82598 200.756834 \nL 176.784634 209.271567 \nL 168.858113 216.424713 \nL 161.996654 222.319228 \nL 156.143544 227.081851 \nL 150.436165 231.446859 \nL 144.877996 235.389511 \nL 140.234497 238.41625 \nL 135.703629 241.105007 \nL 131.286385 243.445968 \nL 127.692867 245.125441 \nL 124.179607 246.554599 \nL 120.747348 247.731085 \nL 117.397081 248.653639 \nL 114.130002 249.322059 \nL 110.947622 249.737226 \nL 107.851758 249.901084 \nL 104.844622 249.816619 \nL 101.928832 249.487884 \nL 99.107424 248.919916 \nL 96.383928 248.118726 \nL 93.762339 247.091221 \nL 91.24715 245.84522 \nL 88.843339 244.389316 \nL 86.556381 242.732871 \nL 84.392239 240.88588 \nL 82.357338 238.85897 \nL 80.458571 236.663254 \nL 78.703231 234.310314 \nL 77.099003 231.812045 \nL 75.653909 229.180609 \nL 74.376278 226.428365 \nL 73.274652 223.567749 \nL 72.357772 220.611204 \nL 71.634485 217.571083 \nL 71.113702 214.459597 \nL 70.80427 211.288719 \nL 70.714973 208.070114 \nL 70.854373 204.815076 \nL 71.230809 201.534469 \nL 71.852231 198.238663 \nL 72.726186 194.937494 \nL 73.859712 191.640235 \nL 75.259228 188.355528 \nL 76.930482 185.091387 \nL 78.878474 181.855175 \nL 81.10738 178.653583 \nL 83.620466 175.492632 \nL 86.420057 172.377686 \nL 89.507433 169.313449 \nL 92.882793 166.303995 \nL 96.54524 163.352791 \nL 100.492659 160.462732 \nL 104.721764 157.636181 \nL 109.228041 154.87501 \nL 114.005686 152.180656 \nL 120.087049 149.037083 \nL 126.534394 145.992426 \nL 133.330487 143.047367 \nL 140.455499 140.202219 \nL 147.887062 137.457081 \nL 156.911369 134.380903 \nL 166.275465 131.441206 \nL 175.931656 128.638777 \nL 187.258702 125.606162 \nL 198.817384 122.758992 \nL 210.520098 120.103497 \nL 222.27502 117.648381 \nL 235.443267 115.140093 \nL 248.418782 112.919935 \nL 259.677814 111.20776 \nL 270.576634 109.761538 \nL 281.019673 108.602314 \nL 289.710813 107.840912 \nL 297.923355 107.33158 \nL 305.60178 107.089617 \nL 311.719071 107.10629 \nL 317.376389 107.3392 \nL 322.546865 107.796575 \nL 326.466432 108.354548 \nL 330.019234 109.077296 \nL 333.194818 109.967985 \nL 335.457771 110.803184 \nL 337.469998 111.748483 \nL 339.228551 112.804556 \nL 340.7312 113.97175 \nL 341.976454 115.250075 \nL 342.963573 116.639193 \nL 343.692515 118.138397 \nL 344.163967 119.746595 \nL 344.379314 121.462319 \nL 344.340638 123.283719 \nL 344.050676 125.208546 \nL 343.51279 127.234155 \nL 342.730997 129.357513 \nL 341.709842 131.5752 \nL 340.104673 134.474126 \nL 338.144652 137.506207 \nL 335.84204 140.6623 \nL 333.21005 143.932412 \nL 329.636805 147.991798 \nL 325.635371 152.179707 \nL 321.232693 156.47465 \nL 316.456602 160.853884 \nL 310.450341 166.037702 \nL 304.019759 171.264488 \nL 297.210009 176.493735 \nL 290.065485 181.684198 \nL 282.629303 186.794368 \nL 274.94293 191.782974 \nL 267.045802 196.609446 \nL 260.137353 200.58749 \nL 253.123461 204.393649 \nL 246.024817 208.005224 \nL 238.86078 211.400848 \nL 231.649412 214.56068 \nL 224.40752 217.466613 \nL 217.150753 220.102407 \nL 211.102639 222.082246 \nL 205.062284 223.857527 \nL 199.037235 225.422277 \nL 193.034702 226.771644 \nL 187.061618 227.901959 \nL 181.124718 228.810741 \nL 175.230588 229.496701 \nL 169.38573 229.959742 \nL 163.596644 230.201 \nL 157.86988 230.22279 \nL 152.212096 230.028592 \nL 146.630117 229.623029 \nL 141.130982 229.011837 \nL 135.722005 228.201782 \nL 130.410776 227.200658 \nL 125.205255 226.017207 \nL 120.113728 224.660999 \nL 115.144889 223.142445 \nL 109.356986 221.121574 \nL 103.775224 218.903346 \nL 98.416768 216.509228 \nL 93.299502 213.961562 \nL 88.441988 211.28329 \nL 83.863295 208.49773 \nL 79.582925 205.628335 \nL 75.620665 202.698446 \nL 71.996356 199.731055 \nL 68.729773 196.748582 \nL 65.840399 193.772654 \nL 63.734435 191.312625 \nL 61.914183 188.882795 \nL 60.389813 186.493834 \nL 59.170931 184.15571 \nL 58.266545 181.877615 \nL 57.775063 180.104028 \nL 57.494043 178.378148 \nL 57.427039 176.703515 \nL 57.57721 175.083303 \nL 57.947304 173.520304 \nL 58.539668 172.016933 \nL 59.356216 170.57522 \nL 60.398406 169.196813 \nL 61.667232 167.88298 \nL 63.163179 166.634611 \nL 64.88628 165.452229 \nL 67.358818 164.067261 \nL 70.183461 162.78518 \nL 73.356941 161.604734 \nL 76.874777 160.523908 \nL 81.542598 159.354539 \nL 86.685824 158.318761 \nL 92.289932 157.409498 \nL 99.387915 156.497793 \nL 107.059533 155.733155 \nL 116.485148 155.019892 \nL 127.8594 154.394117 \nL 141.348855 153.878866 \nL 158.536262 153.451161 \nL 182.739239 153.096878 \nL 218.929978 152.820342 \nL 256.555287 152.731113 \nL 280.484293 152.870328 \nL 297.377336 153.167616 \nL 310.565165 153.599197 \nL 321.625873 154.171257 \nL 330.740904 154.854851 \nL 338.117444 155.607746 \nL 344.899907 156.520905 \nL 350.218376 157.441676 \nL 355.062994 158.49807 \nL 359.420294 159.696686 \nL 362.671127 160.808047 \nL 365.570892 162.024199 \nL 368.115815 163.346697 \nL 370.303423 164.776291 \nL 371.795354 165.997038 \nL 373.057721 167.285818 \nL 374.090948 168.641801 \nL 374.895963 170.063772 \nL 375.474174 171.550136 \nL 375.827462 173.098908 \nL 375.958152 174.707711 \nL 375.868982 176.373787 \nL 375.563123 178.093998 \nL 375.044115 179.864821 \nL 374.315892 181.682375 \nL 373.117866 184.013541 \nL 371.608515 186.402042 \nL 369.797502 188.838056 \nL 367.695037 191.311031 \nL 365.311785 193.809744 \nL 362.09688 196.825472 \nL 358.51335 199.839772 \nL 354.5813 202.83031 \nL 350.321034 205.774079 \nL 345.752859 208.647628 \nL 340.896846 211.427275 \nL 335.772763 214.089363 \nL 330.399857 216.61051 \nL 324.796764 218.967842 \nL 318.98141 221.139247 \nL 312.970984 223.103604 \nL 307.825105 224.568005 \nL 302.564174 225.864025 \nL 297.19685 226.981672 \nL 291.731423 227.911821 \nL 286.175811 228.646286 \nL 280.537646 229.177853 \nL 274.824274 229.500354 \nL 269.042793 229.608734 \nL 263.200126 229.499067 \nL 257.303057 229.168597 \nL 251.358307 228.615762 \nL 245.372578 227.840223 \nL 239.352633 226.842835 \nL 233.305347 225.625706 \nL 227.237787 224.192106 \nL 221.15727 222.546511 \nL 215.071423 220.69454 \nL 208.988247 218.642937 \nL 201.703869 215.928563 \nL 194.450998 212.953445 \nL 187.246229 209.734981 \nL 180.107355 206.292356 \nL 173.053428 202.646389 \nL 166.104804 198.819315 \nL 159.28312 194.834593 \nL 151.515594 190.019168 \nL 143.990622 185.062621 \nL 136.748747 180.00603 \nL 129.832269 174.890924 \nL 123.284872 169.758776 \nL 117.151134 164.650521 \nL 111.476036 159.606073 \nL 107.010624 155.362234 \nL 102.942736 151.216661 \nL 99.299273 147.191254 \nL 96.106006 143.306531 \nL 93.806459 140.190471 \nL 91.84963 137.195427 \nL 90.247674 134.330644 \nL 89.011659 131.604486 \nL 88.29297 129.528395 \nL 87.819203 127.549173 \nL 87.594206 125.669795 \nL 87.621202 123.892844 \nL 87.902771 122.220504 \nL 88.440857 120.654559 \nL 89.236677 119.196405 \nL 90.290801 117.847058 \nL 91.603038 116.607142 \nL 93.172522 115.476918 \nL 94.997647 114.456295 \nL 97.076054 113.544836 \nL 99.404701 112.741779 \nL 102.66159 111.888744 \nL 106.29462 111.200683 \nL 110.29321 110.674255 \nL 114.645172 110.30554 \nL 120.31454 110.065013 \nL 126.44645 110.036818 \nL 133.011658 110.211886 \nL 141.176196 110.660275 \nL 149.832887 111.356708 \nL 160.254643 112.436195 \nL 171.152919 113.796159 \nL 182.43347 115.414742 \nL 195.460843 117.519825 \nL 208.711255 119.90152 \nL 222.046842 122.538614 \nL 235.332607 125.414251 \nL 246.994979 128.160498 \nL 258.427935 131.079394 \nL 269.549359 134.167307 \nL 278.964874 137.0065 \nL 288.036203 139.973546 \nL 296.720292 143.06878 \nL 303.826135 145.824293 \nL 310.597213 148.674709 \nL 317.014286 151.620125 \nL 323.060672 154.660257 \nL 328.722282 157.794294 \nL 333.137971 160.476667 \nL 337.273118 163.221925 \nL 341.12364 166.028317 \nL 344.686664 168.893589 \nL 347.960487 171.814945 \nL 350.94457 174.789007 \nL 353.639442 177.81178 \nL 356.046678 180.878633 \nL 358.168878 183.98428 \nL 360.00953 187.122764 \nL 361.573021 190.287465 \nL 362.864519 193.471093 \nL 363.889924 196.665715 \nL 364.655766 199.862758 \nL 365.16915 203.053044 \nL 365.437707 206.22683 \nL 365.469429 209.373854 \nL 365.272622 212.483369 \nL 364.85586 215.544214 \nL 364.227906 218.544867 \nL 363.397553 221.473503 \nL 362.373639 224.318085 \nL 361.164927 227.066444 \nL 359.780051 229.706323 \nL 358.2275 232.225511 \nL 356.515445 234.611872 \nL 354.651803 236.853459 \nL 352.644121 238.93862 \nL 350.499586 240.856029 \nL 348.224943 242.594822 \nL 345.826501 244.144646 \nL 343.310107 245.49574 \nL 340.68114 246.639022 \nL 337.944452 247.566166 \nL 335.104472 248.269617 \nL 332.165101 248.74271 \nL 329.129784 248.979685 \nL 326.001544 248.975741 \nL 322.782961 248.727063 \nL 319.476244 248.230867 \nL 316.08321 247.485428 \nL 312.605424 246.490024 \nL 309.044155 245.245036 \nL 305.400455 243.751909 \nL 301.675226 242.013091 \nL 297.098457 239.607189 \nL 292.406763 236.860507 \nL 287.60154 233.782973 \nL 282.684427 230.386382 \nL 276.809146 226.038607 \nL 270.788657 221.299444 \nL 263.7377 215.438855 \nL 256.516014 209.146771 \nL 248.206487 201.611902 \nL 238.77708 192.758037 \nL 228.223719 182.552892 \nL 215.620495 170.052027 \nL 202.081381 156.314638 \nL 188.838473 142.577457 \nL 177.07918 130.06763 \nL 167.743708 119.829088 \nL 159.903982 110.903683 \nL 153.490562 103.252345 \nL 148.381985 96.800271 \nL 144.422954 91.452556 \nL 141.442042 87.106611 \nL 138.867527 82.992573 \nL 136.721534 79.120872 \nL 135.274907 76.08623 \nL 134.149709 73.230893 \nL 133.354598 70.558847 \nL 132.961054 68.555479 \nL 132.786333 66.673059 \nL 132.832721 64.912791 \nL 133.10179 63.275638 \nL 133.594409 61.762338 \nL 134.310709 60.373391 \nL 135.250104 59.109103 \nL 136.41124 57.969532 \nL 137.79202 56.95457 \nL 139.389616 56.06391 \nL 141.200433 55.297062 \nL 143.220187 54.653413 \nL 146.030977 54.02087 \nL 149.149001 53.577744 \nL 152.56132 53.321934 \nL 156.253427 53.251117 \nL 161.030749 53.406789 \nL 166.157877 53.820637 \nL 171.602253 54.48792 \nL 177.329171 55.403799 \nL 183.302081 56.563492 \nL 189.482997 57.962326 \nL 196.90477 59.890585 \nL 203.401348 61.792505 \nL 209.980229 63.920234 \nL 216.601368 66.270135 \nL 223.225195 68.83889 \nL 229.812961 71.623384 \nL 236.327072 74.62077 \nL 242.731407 77.82831 \nL 248.991613 81.243354 \nL 254.074964 84.245796 \nL 259.018215 87.388852 \nL 263.805027 90.670762 \nL 268.420319 94.089621 \nL 272.850295 97.64327 \nL 277.082528 101.329278 \nL 281.106 105.144871 \nL 284.911097 109.08688 \nL 288.489638 113.151671 \nL 291.834889 117.335107 \nL 294.941534 121.632479 \nL 297.805661 126.03848 \nL 300.424735 130.547134 \nL 302.797543 135.151783 \nL 304.924161 139.845038 \nL 306.805884 144.618756 \nL 308.445153 149.464023 \nL 309.845471 154.371137 \nL 311.011354 159.329608 \nL 311.948201 164.32816 \nL 312.662239 169.354742 \nL 313.160413 174.396553 \nL 313.450311 179.440078 \nL 313.539988 184.471113 \nL 313.437975 189.474828 \nL 313.075026 195.421491 \nL 312.464555 201.279029 \nL 311.622544 207.019013 \nL 310.565069 212.612365 \nL 309.30804 218.029575 \nL 307.867047 223.240985 \nL 306.257174 228.217039 \nL 304.492887 232.928539 \nL 302.587878 237.346965 \nL 300.55497 241.444758 \nL 298.771788 244.595634 \nL 296.914398 247.491115 \nL 294.988635 250.117637 \nL 292.99982 252.462575 \nL 290.952758 254.514356 \nL 288.851741 256.26257 \nL 287.134655 257.436359 \nL 285.387174 258.405864 \nL 283.610825 259.167539 \nL 281.806952 259.718415 \nL 279.976701 260.056116 \nL 278.121061 260.178874 \nL 276.240876 260.085544 \nL 274.336829 259.77556 \nL 272.409491 259.249016 \nL 270.459311 258.506615 \nL 268.486637 257.54967 \nL 265.989565 256.054766 \nL 263.458129 254.232738 \nL 260.892596 252.090042 \nL 258.293173 249.634483 \nL 255.660055 246.875158 \nL 252.456178 243.177566 \nL 249.204758 239.077382 \nL 245.352663 233.814501 \nL 241.439573 228.07181 \nL 236.897388 220.973945 \nL 232.287767 213.367944 \nL 227.034429 204.288178 \nL 221.137078 193.66627 \nL 214.025675 180.365839 \nL 206.366857 165.530736 \nL 198.878066 150.529469 \nL 192.246046 136.764304 \nL 186.520751 124.382886 \nL 181.706184 113.437751 \nL 177.764814 103.915311 \nL 174.626075 95.759497 \nL 172.196922 88.890202 \nL 170.093083 82.29182 \nL 168.568564 76.865496 \nL 167.317449 71.661561 \nL 166.353463 66.68874 \nL 165.688661 61.954578 \nL 165.37063 58.196387 \nL 165.272306 54.611508 \nL 165.397425 51.202557 \nL 165.748604 47.971666 \nL 166.32728 44.920579 \nL 167.13366 42.050591 \nL 168.166685 39.36264 \nL 169.154766 37.343773 \nL 170.284646 35.441962 \nL 171.553995 33.657263 \nL 172.959953 31.989637 \nL 174.90432 30.069521 \nL 177.049103 28.331691 \nL 179.385339 26.775566 \nL 181.902901 25.40044 \nL 184.590538 24.205533 \nL 187.435935 23.190032 \nL 190.4258 22.35308 \nL 193.545943 21.693849 \nL 196.781368 21.211533 \nL 200.793915 20.865249 \nL 204.921591 20.771554 \nL 209.135186 20.9295 \nL 213.404809 21.338417 \nL 217.700182 21.997856 \nL 221.99094 22.907633 \nL 226.246927 24.0678 \nL 230.438494 25.478629 \nL 233.861404 26.846109 \nL 237.203369 28.388313 \nL 240.448863 30.105606 \nL 243.583069 31.998386 \nL 246.591987 34.067018 \nL 249.462504 36.311835 \nL 252.182483 38.733061 \nL 254.740812 41.330803 \nL 257.127487 44.105004 \nL 259.333627 47.055364 \nL 261.351533 50.181377 \nL 263.1747 53.482206 \nL 264.797854 56.956662 \nL 266.21693 60.603176 \nL 267.429078 64.419758 \nL 268.432634 68.403924 \nL 269.227116 72.552669 \nL 269.813175 76.862433 \nL 270.192556 81.329056 \nL 270.368026 85.947748 \nL 270.343318 90.713065 \nL 270.123088 95.61885 \nL 269.608478 101.681477 \nL 268.831109 107.923144 \nL 267.80321 114.328971 \nL 266.538137 120.882468 \nL 264.781544 128.690583 \nL 262.745439 136.643396 \nL 260.454501 144.706371 \nL 257.556383 154.008 \nL 254.395436 163.344426 \nL 251.008134 172.65125 \nL 247.429462 181.860359 \nL 243.692397 190.900562 \nL 239.827438 199.698394 \nL 235.862291 208.178985 \nL 231.821678 216.267086 \nL 228.241323 222.963575 \nL 224.632387 229.253684 \nL 221.005722 235.090361 \nL 217.890082 239.698403 \nL 214.773169 243.914064 \nL 211.659213 247.712848 \nL 209.069122 250.543912 \nL 206.485401 253.058335 \nL 203.909645 255.245774 \nL 201.343286 257.097263 \nL 199.297857 258.331435 \nL 197.259933 259.342545 \nL 195.230148 260.128062 \nL 193.20914 260.686093 \nL 191.197575 261.015418 \nL 189.196148 261.115448 \nL 187.205618 260.986281 \nL 185.226806 260.628691 \nL 183.260619 260.044121 \nL 181.308068 259.234655 \nL 179.370268 258.20304 \nL 177.448472 256.95264 \nL 175.544065 255.487438 \nL 173.19036 253.360913 \nL 170.869585 250.916145 \nL 168.585508 248.164624 \nL 166.342348 245.119049 \nL 164.144756 241.793201 \nL 161.575067 237.453113 \nL 159.088185 232.758024 \nL 156.694849 227.736658 \nL 154.40675 222.418963 \nL 152.236471 216.83583 \nL 150.197453 211.018731 \nL 148.30386 204.999457 \nL 146.570491 198.809806 \nL 145.012649 192.481329 \nL 143.645986 186.045061 \nL 142.486319 179.531298 \nL 141.549461 172.969372 \nL 140.850993 166.387467 \nL 140.406067 159.812458 \nL 140.239449 154.356946 \nL 140.266905 148.937806 \nL 140.495813 143.568149 \nL 140.932949 138.260277 \nL 141.584364 133.025659 \nL 142.455317 127.874941 \nL 143.550146 122.817922 \nL 144.87224 117.863577 \nL 146.423914 113.020068 \nL 148.206377 108.294755 \nL 150.219624 103.694259 \nL 152.462425 99.22444 \nL 154.932247 94.890486 \nL 157.625232 90.696923 \nL 160.536175 86.647676 \nL 163.658501 82.746119 \nL 166.98426 78.995142 \nL 170.504142 75.397148 \nL 174.207495 71.954186 \nL 178.082372 68.66796 \nL 182.115544 65.539879 \nL 186.292586 62.571132 \nL 190.597925 59.762739 \nL 195.014926 57.115588 \nL 200.437863 54.152975 \nL 205.96412 51.425021 \nL 211.560076 48.933077 \nL 217.190854 46.678573 \nL 222.820637 44.663076 \nL 228.412994 42.888389 \nL 233.931226 41.356512 \nL 239.338707 40.069694 \nL 244.599251 39.030443 \nL 249.677465 38.241439 \nL 254.539091 37.705581 \nL 259.151349 37.425864 \nL 263.48327 37.405368 \nL 266.858165 37.588509 \nL 270.002858 37.955521 \nL 272.903156 38.50804 \nL 275.546245 39.247602 \nL 277.920729 40.175584 \nL 279.620216 41.05444 \nL 281.137087 42.055132 \nL 282.467653 43.178067 \nL 283.608891 44.423529 \nL 284.558444 45.79164 \nL 285.314646 47.28241 \nL 285.8765 48.895689 \nL 286.243677 50.631169 \nL 286.416516 52.488362 \nL 286.396015 54.466619 \nL 286.183802 56.565086 \nL 285.652428 59.35559 \nL 284.830774 62.3298 \nL 283.725919 65.484735 \nL 282.346265 68.816883 \nL 280.341516 73.043668 \nL 277.973522 77.511827 \nL 274.779367 83.017502 \nL 271.154507 88.822804 \nL 266.533312 95.800413 \nL 260.795773 104.050143 \nL 253.131766 114.637755 \nL 243.356397 127.733526 \nL 228.986611 146.568089 \nL 209.259509 172.034853 \nL 194.655026 190.575441 \nL 184.426023 203.241315 \nL 176.050555 213.268803 \nL 169.413017 220.890714 \nL 163.685138 227.157342 \nL 158.809766 232.205713 \nL 154.06326 236.814635 \nL 150.097671 240.393246 \nL 146.226827 243.61117 \nL 142.450317 246.453939 \nL 138.767718 248.909149 \nL 135.77038 250.651703 \nL 132.837974 252.11336 \nL 129.970639 253.290668 \nL 127.168764 254.181353 \nL 124.433007 254.78436 \nL 121.764402 255.099889 \nL 119.678764 255.146242 \nL 117.637902 255.010783 \nL 115.642883 254.695322 \nL 113.695017 254.202131 \nL 111.795774 253.53396 \nL 109.492739 252.45766 \nL 107.272163 251.120313 \nL 105.138399 249.530228 \nL 103.096311 247.696694 \nL 101.151331 245.629896 \nL 99.309421 243.340825 \nL 97.577029 240.841228 \nL 95.961152 238.143481 \nL 94.469211 235.260535 \nL 93.10909 232.205771 \nL 91.889025 228.992944 \nL 90.817609 225.636091 \nL 89.903709 222.149374 \nL 89.156439 218.547038 \nL 88.585024 214.843311 \nL 88.198789 211.052297 \nL 88.007046 207.187901 \nL 88.019032 203.263744 \nL 88.243829 199.293093 \nL 88.690219 195.288776 \nL 89.366659 191.26315 \nL 90.281139 187.228012 \nL 91.441134 183.194579 \nL 92.853492 179.173431 \nL 94.524334 175.174502 \nL 96.458955 171.207028 \nL 98.661774 167.279559 \nL 101.136237 163.39994 \nL 103.884731 159.575321 \nL 106.908516 155.812167 \nL 110.207665 152.11627 \nL 113.781027 148.492786 \nL 117.626116 144.946256 \nL 121.739139 141.480655 \nL 126.114947 138.099429 \nL 130.746977 134.805549 \nL 135.627275 131.60156 \nL 140.746486 128.489642 \nL 146.093833 125.471667 \nL 152.794588 121.976379 \nL 159.782721 118.621169 \nL 167.031916 115.408275 \nL 174.513267 112.339856 \nL 182.195408 109.41811 \nL 190.044681 106.645424 \nL 199.365631 103.602638 \nL 208.805482 100.7714 \nL 218.301486 98.157587 \nL 227.788641 95.768109 \nL 237.200349 93.610953 \nL 246.469119 91.695191 \nL 255.527309 90.030931 \nL 264.307888 88.629179 \nL 272.745227 87.501673 \nL 280.775877 86.660655 \nL 287.289651 86.177243 \nL 293.424166 85.921276 \nL 299.145814 85.900398 \nL 304.423636 86.121824 \nL 308.462477 86.496316 \nL 312.159045 87.047287 \nL 315.500443 87.777854 \nL 318.475478 88.69067 \nL 320.585364 89.553575 \nL 322.450729 90.53529 \nL 324.068382 91.636369 \nL 325.435891 92.857084 \nL 326.551543 94.197416 \nL 327.414452 95.657044 \nL 328.024479 97.23532 \nL 328.382228 98.931279 \nL 328.489061 100.74362 \nL 328.34704 102.67068 \nL 327.958955 104.71047 \nL 327.328273 106.860649 \nL 326.459065 109.118511 \nL 325.044381 112.087599 \nL 323.274919 115.213455 \nL 321.162433 118.488537 \nL 318.719861 121.904488 \nL 315.372776 126.17667 \nL 311.59633 130.62133 \nL 307.417867 135.219828 \nL 302.072935 140.752453 \nL 296.266175 146.433452 \nL 290.0449 152.227126 \nL 282.488059 158.938529 \nL 274.521401 165.69071 \nL 266.212543 172.424648 \nL 257.626075 179.080672 \nL 248.822791 185.59925 \nL 240.986542 191.144148 \nL 233.06244 196.500704 \nL 225.082503 201.63212 \nL 217.075884 206.503405 \nL 209.068943 211.081754 \nL 202.223632 214.749906 \nL 195.409017 218.163224 \nL 188.637367 221.30606 \nL 181.919861 224.164638 \nL 175.266738 226.727116 \nL 168.687452 228.983771 \nL 163.267504 230.625149 \nL 157.909824 232.045616 \nL 152.619123 233.243046 \nL 147.400019 234.216411 \nL 142.257089 234.965801 \nL 137.194957 235.492388 \nL 132.218354 235.798419 \nL 127.332137 235.887242 \nL 122.541375 235.763222 \nL 117.851388 235.431739 \nL 113.267759 234.899118 \nL 108.796396 234.172589 \nL 104.443546 233.260238 \nL 100.215815 232.170931 \nL 96.120202 230.914263 \nL 92.164041 229.50047 \nL 88.35507 227.940336 \nL 83.990022 225.890921 \nL 79.863226 223.667292 \nL 75.989946 221.290267 \nL 72.386026 218.781069 \nL 69.067671 216.161092 \nL 66.051465 213.451657 \nL 63.780838 211.140659 \nL 61.741329 208.794103 \nL 59.942535 206.423602 \nL 58.393948 204.040392 \nL 57.104817 201.655247 \nL 56.084063 199.278408 \nL 55.34027 196.919529 \nL 54.881566 194.58762 \nL 54.72499 192.747125 \nL 54.759353 190.933148 \nL 54.987987 189.149303 \nL 55.413944 187.39888 \nL 56.039943 185.684841 \nL 56.868393 184.00982 \nL 57.901324 182.37611 \nL 59.140415 180.785668 \nL 60.586936 179.240119 \nL 62.241764 177.740751 \nL 64.603886 175.932923 \nL 67.292142 174.199929 \nL 70.305452 172.542197 \nL 73.641618 170.959454 \nL 77.297384 169.45075 \nL 82.099943 167.735795 \nL 87.346757 166.121409 \nL 93.025956 164.60281 \nL 100.179285 162.944623 \nL 107.87588 161.399043 \nL 117.298736 159.756516 \nL 127.341725 158.22982 \nL 139.31118 156.62972 \nL 153.340206 154.971141 \nL 171.007949 153.110096 \nL 194.01076 150.933748 \nL 220.697278 148.636606 \nL 248.813156 146.437177 \nL 271.445452 144.882572 \nL 288.627917 143.910753 \nL 302.103768 143.348485 \nL 313.44418 143.080326 \nL 322.812367 143.063673 \nL 330.405681 143.242351 \nL 337.39347 143.619466 \nL 342.873854 144.112816 \nL 347.863199 144.772853 \nL 352.344265 145.607589 \nL 355.679691 146.441539 \nL 358.64515 147.404612 \nL 361.235197 148.49915 \nL 363.034171 149.470481 \nL 364.588857 150.527306 \nL 365.898452 151.669622 \nL 366.962723 152.897037 \nL 367.782029 154.208765 \nL 368.357323 155.603613 \nL 368.690084 157.079982 \nL 368.78234 158.635857 \nL 368.636662 160.268815 \nL 368.256124 161.976019 \nL 367.644268 163.754226 \nL 366.805111 165.599796 \nL 365.443341 167.995307 \nL 363.742924 170.481043 \nL 361.71427 173.04742 \nL 359.368585 175.684023 \nL 356.152042 178.924842 \nL 352.517648 182.229974 \nL 348.487866 185.577476 \nL 344.085843 188.944315 \nL 339.335046 192.306589 \nL 334.259152 195.63975 \nL 328.881733 198.918842 \nL 323.226074 202.118757 \nL 317.315018 205.214475 \nL 311.170816 208.181317 \nL 304.81494 210.995214 \nL 298.26806 213.632935 \nL 291.549964 216.072328 \nL 284.679494 218.292577 \nL 278.850663 219.961412 \nL 272.938387 221.45441 \nL 266.952129 222.762255 \nL 260.900989 223.876611 \nL 254.793714 224.790216 \nL 248.63874 225.496904 \nL 242.444247 225.99168 \nL 236.218204 226.270717 \nL 229.968449 226.331432 \nL 223.702727 226.172505 \nL 217.428764 225.793846 \nL 211.154331 225.196642 \nL 204.887308 224.383308 \nL 198.635747 223.357513 \nL 192.407934 222.124126 \nL 186.212445 220.689194 \nL 180.058195 219.059885 \nL 173.954503 217.244452 \nL 166.71055 214.833366 \nL 159.571185 212.185468 \nL 152.555163 209.320361 \nL 145.682298 206.259209 \nL 138.973488 203.02457 \nL 132.450677 199.640141 \nL 126.136775 196.130517 \nL 120.055634 192.520959 \nL 114.231835 188.837132 \nL 108.690609 185.104866 \nL 103.457611 181.349904 \nL 98.558746 177.597657 \nL 94.019882 173.872966 \nL 89.86664 170.199872 \nL 86.124102 166.601397 \nL 82.816476 163.099346 \nL 80.409092 160.269387 \nL 78.33245 157.531555 \nL 76.598409 154.896004 \nL 75.217856 152.372014 \nL 74.374629 150.438796 \nL 73.768545 148.586192 \nL 73.403661 146.817642 \nL 73.28351 145.13618 \nL 73.41106 143.544427 \nL 73.788744 142.044591 \nL 74.418347 140.63846 \nL 75.301086 139.327414 \nL 76.437488 138.112422 \nL 77.827511 136.994052 \nL 79.470416 135.972481 \nL 81.364871 135.047506 \nL 83.508813 134.218553 \nL 86.535484 133.315968 \nL 89.941149 132.559445 \nL 93.717659 131.945715 \nL 98.72528 131.392104 \nL 104.233484 131.030399 \nL 110.220064 130.851537 \nL 117.775663 130.860666 \nL 125.904717 131.088225 \nL 135.835931 131.59307 \nL 147.733614 132.441012 \nL 161.716687 133.68676 \nL 177.831728 135.370011 \nL 196.024162 137.514685 \nL 214.5594 139.921898 \nL 233.135263 142.547473 \nL 251.458459 145.365609 \nL 267.794431 148.111136 \nL 282.088886 150.746573 \nL 294.381879 153.241546 \nL 304.776443 155.566847 \nL 314.608783 158.003261 \nL 322.709741 160.234183 \nL 330.309481 162.56453 \nL 336.404173 164.645786 \nL 342.096426 166.807999 \nL 347.373989 169.053912 \nL 352.226936 171.385472 \nL 355.941113 173.394618 \nL 359.35181 175.463968 \nL 362.456859 177.592967 \nL 365.255139 179.780443 \nL 367.746556 182.02458 \nL 369.932029 184.322877 \nL 371.813419 186.672135 \nL 373.393515 189.068439 \nL 374.675945 191.507138 \nL 375.490548 193.485039 \nL 376.120119 195.483559 \nL 376.567556 197.49933 \nL 376.875624 200.037702 \nL 376.910855 202.589534 \nL 376.680498 205.14643 \nL 376.192261 207.699391 \nL 375.454207 210.238868 \nL 374.47473 212.754789 \nL 373.262424 215.236655 \nL 371.826029 217.67357 \nL 370.174372 220.054327 \nL 368.31629 222.367463 \nL 366.260566 224.601368 \nL 364.015847 226.744333 \nL 361.590641 228.784633 \nL 358.993216 230.710635 \nL 356.231572 232.510873 \nL 353.313394 234.174083 \nL 350.246038 235.689358 \nL 347.036472 237.046197 \nL 343.6913 238.23457 \nL 340.216696 239.245025 \nL 336.618452 240.068719 \nL 332.901949 240.697534 \nL 329.072166 241.124116 \nL 325.133699 241.341915 \nL 321.09081 241.345243 \nL 316.947398 241.129354 \nL 312.707099 240.690437 \nL 308.373275 240.025669 \nL 303.949066 239.133249 \nL 299.437457 238.012372 \nL 294.841328 236.663279 \nL 290.163529 235.087248 \nL 284.446368 232.899742 \nL 278.620772 230.394666 \nL 272.692154 227.579956 \nL 266.666396 224.465531 \nL 260.55004 221.063167 \nL 254.350444 217.386452 \nL 247.023571 212.770636 \nL 239.610007 207.829077 \nL 232.127334 202.591198 \nL 223.517163 196.282927 \nL 214.878013 189.679371 \nL 205.174241 181.963412 \nL 195.549311 174.019073 \nL 186.076486 165.926578 \nL 176.836996 157.766928 \nL 167.919274 149.620751 \nL 159.417711 141.567196 \nL 151.431085 133.682873 \nL 144.845994 126.875817 \nL 138.819095 120.308648 \nL 134.0586 114.794697 \nL 129.82449 109.526889 \nL 126.646861 105.226941 \nL 123.912858 101.141198 \nL 121.990223 97.90956 \nL 120.404017 94.842643 \nL 119.16519 91.94651 \nL 118.283265 89.226495 \nL 117.840141 87.180388 \nL 117.63398 85.251934 \nL 117.667477 83.442813 \nL 117.942609 81.754409 \nL 118.460633 80.187816 \nL 119.222047 78.743823 \nL 120.226607 77.422946 \nL 121.473267 76.225432 \nL 122.96024 75.151258 \nL 124.684937 74.200141 \nL 126.643996 73.37159 \nL 128.833317 72.664893 \nL 131.886323 71.95143 \nL 135.280372 71.424678 \nL 139.002646 71.082021 \nL 143.038686 70.920513 \nL 148.273455 70.961247 \nL 153.906525 71.252163 \nL 159.904807 71.786934 \nL 166.232825 72.559053 \nL 173.982099 73.751129 \nL 182.066618 75.247128 \nL 190.421628 77.037181 \nL 198.980876 79.111948 \nL 207.677431 81.462804 \nL 216.444481 84.081906 \nL 225.216121 86.962195 \nL 232.68956 89.63413 \nL 240.080016 92.489806 \nL 247.349952 95.526001 \nL 254.463683 98.739721 \nL 261.387628 102.12811 \nL 268.090534 105.68833 \nL 273.486637 108.784314 \nL 278.694024 111.995742 \nL 283.698838 115.320615 \nL 288.488613 118.75669 \nL 293.052285 122.301431 \nL 297.380248 125.951942 \nL 301.464329 129.704916 \nL 305.297823 133.556584 \nL 308.875434 137.502654 \nL 312.193282 141.538267 \nL 315.248862 145.657945 \nL 318.041033 149.855569 \nL 320.569889 154.124332 \nL 322.836774 158.456721 \nL 324.844171 162.8445 \nL 326.595621 167.278696 \nL 328.09568 171.749602 \nL 329.349824 176.246775 \nL 330.36433 180.759067 \nL 331.146187 185.274634 \nL 331.703046 189.780974 \nL 332.043068 194.264973 \nL 332.174868 198.712943 \nL 332.107377 203.110699 \nL 331.849802 207.443611 \nL 331.302953 212.536376 \nL 330.512112 217.487718 \nL 329.493462 222.270824 \nL 328.262922 226.858765 \nL 326.836009 231.224694 \nL 325.227615 235.342144 \nL 323.451917 239.185298 \nL 321.853978 242.160354 \nL 320.156298 244.913744 \nL 318.365591 247.432326 \nL 316.488048 249.703681 \nL 314.529338 251.716297 \nL 312.494585 253.459573 \nL 310.388367 254.92397 \nL 308.654643 255.888967 \nL 306.879579 256.666274 \nL 305.064777 257.252604 \nL 303.211641 257.6452 \nL 301.321362 257.841831 \nL 299.394949 257.84081 \nL 297.433226 257.641 \nL 295.436848 257.241829 \nL 293.406313 256.643271 \nL 290.820652 255.615575 \nL 288.182616 254.279506 \nL 285.492368 252.638643 \nL 282.749878 250.69789 \nL 279.954953 248.463392 \nL 276.531419 245.404693 \nL 273.031394 241.948491 \nL 269.454391 238.111854 \nL 265.183608 233.180455 \nL 260.807953 227.790549 \nL 255.680471 221.115692 \nL 249.755531 213.019124 \nL 242.990171 203.395447 \nL 234.649807 191.143758 \nL 223.250886 173.970696 \nL 208.130907 150.759409 \nL 194.794772 129.919726 \nL 185.544258 115.092133 \nL 178.822119 103.937807 \nL 173.258334 94.271736 \nL 169.256779 86.91143 \nL 165.71228 79.915279 \nL 163.025441 74.113252 \nL 161.055489 69.38989 \nL 159.412108 64.906108 \nL 158.111562 60.669246 \nL 157.299945 57.33171 \nL 156.743276 54.173097 \nL 156.447337 51.195999 \nL 156.416652 48.40254 \nL 156.585262 46.301134 \nL 156.926658 44.319025 \nL 157.441247 42.45671 \nL 158.128812 40.714547 \nL 158.988534 39.092752 \nL 160.018991 37.591398 \nL 161.218127 36.210445 \nL 162.583284 34.949734 \nL 164.111185 33.809009 \nL 165.797962 32.787912 \nL 168.122998 31.67913 \nL 170.679295 30.755639 \nL 173.455537 30.016327 \nL 176.439131 29.460006 \nL 179.616292 29.085414 \nL 182.972119 28.891266 \nL 187.21251 28.89467 \nL 191.658082 29.153924 \nL 196.278094 29.666971 \nL 201.040528 30.431959 \nL 205.912419 31.447237 \nL 210.860161 32.711359 \nL 215.849855 34.223131 \nL 220.847633 35.981622 \nL 225.819987 37.986078 \nL 230.734085 40.235942 \nL 235.558082 42.730783 \nL 239.487152 44.996676 \nL 243.315514 47.432196 \nL 247.027133 50.037094 \nL 250.606916 52.811021 \nL 254.040788 55.753495 \nL 257.315768 58.863861 \nL 260.420037 62.141246 \nL 263.342983 65.584507 \nL 266.075247 69.192164 \nL 268.608738 72.96235 \nL 270.936682 76.892807 \nL 273.053597 80.980771 \nL 274.955292 85.222938 \nL 276.638855 89.615456 \nL 278.102647 94.153822 \nL 279.346237 98.832885 \nL 280.370367 103.64678 \nL 281.176895 108.588904 \nL 281.768725 113.651888 \nL 282.14976 118.827553 \nL 282.324802 124.106923 \nL 282.299471 129.480182 \nL 282.080134 134.936687 \nL 281.570751 141.57815 \nL 280.805305 148.301502 \nL 279.797885 155.083663 \nL 278.563297 161.899943 \nL 277.116839 168.72413 \nL 275.474066 175.528601 \nL 273.33024 183.403624 \nL 270.965068 191.164681 \nL 268.402545 198.762377 \nL 265.665757 206.146164 \nL 262.776594 213.264835 \nL 259.75555 220.067115 \nL 257.075494 225.607343 \nL 254.3234 230.846567 \nL 251.509262 235.754456 \nL 248.64213 240.301924 \nL 245.730125 244.46147 \nL 243.274406 247.61286 \nL 240.796276 250.46329 \nL 238.299061 253.000193 \nL 235.785739 255.212237 \nL 233.258954 257.089452 \nL 231.229433 258.344352 \nL 229.193906 259.375767 \nL 227.153379 260.180642 \nL 225.108786 260.756546 \nL 223.061003 261.101742 \nL 221.010863 261.215178 \nL 218.959176 261.096446 \nL 216.906741 260.745854 \nL 214.854362 260.164355 \nL 212.802865 259.353602 \nL 210.753118 258.315912 \nL 208.706037 257.054238 \nL 206.662614 255.572177 \nL 204.115119 253.416158 \nL 201.577332 250.931951 \nL 199.051848 248.130456 \nL 196.54158 245.023834 \nL 194.04979 241.62545 \nL 191.089199 237.18261 \nL 188.167578 232.367154 \nL 185.292896 227.20749 \nL 182.474051 221.733413 \nL 179.269156 214.990848 \nL 176.170936 207.912707 \nL 173.1983 200.550113 \nL 170.371713 192.954343 \nL 167.713033 185.176279 \nL 165.245304 177.265846 \nL 162.992467 169.271523 \nL 160.979029 161.239929 \nL 159.462518 154.359754 \nL 158.155529 147.511324 \nL 157.073225 140.719622 \nL 156.230257 134.008051 \nL 155.640519 127.398376 \nL 155.316944 120.910655 \nL 155.25912 115.610675 \nL 155.400353 110.417876 \nL 155.74593 105.341149 \nL 156.300284 100.388574 \nL 157.06692 95.567457 \nL 158.048336 90.884318 \nL 159.245987 86.34496 \nL 160.660169 81.954476 \nL 162.290035 77.717306 \nL 164.133494 73.637245 \nL 166.187241 69.717538 \nL 168.446679 65.960891 \nL 170.905947 62.369504 \nL 173.557904 58.945154 \nL 176.394134 55.68926 \nL 179.404997 52.60286 \nL 182.579637 49.686751 \nL 185.906041 46.941471 \nL 189.371098 44.367371 \nL 192.960645 41.964674 \nL 196.659575 39.733496 \nL 200.4519 37.673903 \nL 205.102319 35.428945 \nL 209.832813 33.431247 \nL 214.612022 31.681006 \nL 219.40775 30.17859 \nL 224.18727 28.924529 \nL 228.917642 27.919628 \nL 233.56603 27.164908 \nL 238.100033 26.661624 \nL 242.487992 26.411285 \nL 246.699314 26.41556 \nL 250.704775 26.676292 \nL 253.865457 27.090895 \nL 256.849044 27.686099 \nL 259.641611 28.463049 \nL 262.230358 29.422866 \nL 264.603674 30.566604 \nL 266.751227 31.895194 \nL 268.300606 33.091695 \nL 269.695719 34.407351 \nL 270.933162 35.842428 \nL 272.010117 37.397067 \nL 272.924355 39.071334 \nL 273.674247 40.865181 \nL 274.258758 42.778407 \nL 274.677428 44.810705 \nL 274.930394 46.961602 \nL 275.014696 49.81605 \nL 274.843818 52.853257 \nL 274.421645 56.071223 \nL 273.753328 59.467482 \nL 272.845189 63.039095 \nL 271.449363 67.55164 \nL 269.733614 72.304837 \nL 267.714484 77.290666 \nL 264.999681 83.389179 \nL 261.46164 90.70991 \nL 257.506473 98.37778 \nL 252.62227 107.378801 \nL 246.132445 118.845048 \nL 237.897777 132.915479 \nL 226.537602 151.839452 \nL 213.515259 173.100441 \nL 202.611519 190.524221 \nL 193.945457 203.979112 \nL 186.808356 214.646606 \nL 181.124567 222.760117 \nL 176.198762 229.430566 \nL 171.989646 234.800699 \nL 167.87611 239.696801 \nL 164.426537 243.490496 \nL 161.047212 246.891835 \nL 157.737736 249.883668 \nL 155.03287 252.053226 \nL 152.375982 253.920721 \nL 149.766971 255.4801 \nL 147.205881 256.726599 \nL 144.692986 257.656805 \nL 142.717711 258.171836 \nL 140.774026 258.482708 \nL 138.86248 258.589586 \nL 136.983791 258.493242 \nL 135.138826 258.194988 \nL 133.328653 257.696701 \nL 131.554514 257.000837 \nL 129.817862 256.110376 \nL 128.120347 255.02883 \nL 126.056357 253.414364 \nL 124.060566 251.516604 \nL 122.137667 249.345601 \nL 120.29284 246.912472 \nL 118.531834 244.22926 \nL 116.860908 241.308901 \nL 115.286857 238.165065 \nL 113.536105 234.117727 \nL 111.948715 229.795088 \nL 110.538925 225.223837 \nL 109.321693 220.431234 \nL 108.312556 215.444898 \nL 107.527454 210.292485 \nL 106.982571 205.001487 \nL 106.723728 200.506001 \nL 106.652295 195.948414 \nL 106.777425 191.343659 \nL 107.107986 186.706216 \nL 107.652521 182.050029 \nL 108.419093 177.388453 \nL 109.415239 172.734214 \nL 110.64783 168.09935 \nL 112.122996 163.495198 \nL 113.846033 158.93236 \nL 115.821329 154.420696 \nL 118.052243 149.969313 \nL 120.541039 145.586574 \nL 123.288815 141.280108 \nL 126.295444 137.056828 \nL 129.559506 132.922954 \nL 133.078203 128.884059 \nL 136.847388 124.945089 \nL 140.861463 121.110423 \nL 145.113431 117.383914 \nL 149.594809 113.768952 \nL 154.295667 110.268501 \nL 159.204652 106.885175 \nL 164.308991 103.621287 \nL 169.594523 100.478916 \nL 175.045762 97.459951 \nL 181.782285 94.00257 \nL 188.701951 90.728364 \nL 195.771206 87.640254 \nL 202.954416 84.741253 \nL 210.214129 82.034541 \nL 217.511364 79.523588 \nL 226.018543 76.846652 \nL 234.456718 74.448039 \nL 242.759675 72.335128 \nL 250.8611 70.51603 \nL 258.69538 68.999468 \nL 266.198448 67.794699 \nL 272.319169 67.017442 \nL 278.114111 66.482364 \nL 283.548271 66.195541 \nL 288.589077 66.162867 \nL 292.467632 66.333789 \nL 296.036517 66.688084 \nL 299.281594 67.228475 \nL 302.190349 67.957369 \nL 304.267895 68.677573 \nL 306.118567 69.52055 \nL 307.738419 70.486959 \nL 309.124246 71.577229 \nL 310.273638 72.791577 \nL 311.184927 74.129979 \nL 311.857234 75.592176 \nL 312.290464 77.177629 \nL 312.485241 78.885541 \nL 312.44295 80.714834 \nL 312.165693 82.66417 \nL 311.656294 84.731881 \nL 310.918241 86.916037 \nL 309.680471 89.806558 \nL 308.101357 92.870524 \nL 306.191713 96.102216 \nL 303.480975 100.192558 \nL 300.334819 104.502737 \nL 296.778333 109.018939 \nL 292.146356 114.527967 \nL 287.037256 120.270554 \nL 280.673811 127.082982 \nL 272.931093 135.010374 \nL 264.667698 143.149827 \nL 254.996178 152.353178 \nL 244.934776 161.622974 \nL 234.605049 170.851247 \nL 224.117548 179.928605 \nL 213.570428 188.745989 \nL 204.09762 196.370953 \nL 195.737749 202.838371 \nL 187.467852 208.961268 \nL 180.326676 213.998955 \nL 173.290145 218.707259 \nL 166.371125 223.059263 \nL 160.542359 226.48756 \nL 154.813813 229.622821 \nL 149.190626 232.453354 \nL 143.677369 234.969296 \nL 138.278217 237.162737 \nL 133.868954 238.739939 \nL 129.543909 240.086758 \nL 125.305355 241.201873 \nL 121.155653 242.085012 \nL 117.0973 242.736922 \nL 113.13301 243.159345 \nL 109.265713 243.355053 \nL 105.498642 243.327767 \nL 101.835381 243.082185 \nL 98.279831 242.623884 \nL 94.836293 241.959324 \nL 91.509471 241.095792 \nL 88.304491 240.041342 \nL 85.226893 238.804696 \nL 82.28267 237.395253 \nL 79.478185 235.822966 \nL 76.820235 234.098235 \nL 74.315975 232.231911 \nL 71.972953 230.235176 \nL 69.79898 228.119434 \nL 67.802228 225.896283 \nL 65.990992 223.577378 \nL 64.373847 221.174394 \nL 62.959438 218.698912 \nL 61.756486 216.162371 \nL 60.773701 213.575968 \nL 60.019739 210.950591 \nL 59.503079 208.296766 \nL 59.232016 205.624583 \nL 59.214523 202.943634 \nL 59.458229 200.262996 \nL 59.970303 197.591128 \nL 60.757402 194.935888 \nL 61.825594 192.30446 \nL 63.180292 189.703368 \nL 64.826157 187.13844 \nL 66.767067 184.614793 \nL 69.006089 182.136849 \nL 71.545346 179.708329 \nL 74.386034 177.33227 \nL 77.528343 175.011051 \nL 80.971427 172.746413 \nL 84.713404 170.539502 \nL 88.751293 168.390904 \nL 93.981544 165.889629 \nL 99.622753 163.471672 \nL 105.663453 161.135486 \nL 112.089784 158.878866 \nL 120.052949 156.343079 \nL 128.489437 153.90706 \nL 137.365645 151.565727 \nL 148.000031 148.99952 \nL 159.097624 146.543932 \nL 172.051259 143.907319 \nL 186.902779 141.129546 \nL 202.086813 138.512206 \nL 218.976225 135.828285 \nL 235.838298 133.370644 \nL 252.435986 131.173779 \nL 267.093706 129.441461 \nL 281.156325 128.004325 \nL 293.160191 127.002021 \nL 303.209506 126.373216 \nL 312.591028 126.018427 \nL 320.193537 125.953132 \nL 327.182383 126.13406 \nL 332.653275 126.49686 \nL 337.620433 127.060727 \nL 341.360476 127.689822 \nL 344.726947 128.467752 \nL 347.711527 129.397654 \nL 349.819637 130.252622 \nL 351.676271 131.207247 \nL 353.279389 132.262038 \nL 354.627618 133.417133 \nL 355.720281 134.6723 \nL 356.557324 136.026914 \nL 357.139372 137.479948 \nL 357.467714 139.029974 \nL 357.544243 140.675154 \nL 357.371473 142.413232 \nL 356.952523 144.241543 \nL 356.291072 146.157009 \nL 355.391305 148.156148 \nL 353.938716 150.766785 \nL 352.131413 153.49363 \nL 349.980684 156.32733 \nL 347.498749 159.257664 \nL 344.101635 162.886024 \nL 340.270245 166.617091 \nL 336.029502 170.428951 \nL 331.405199 174.298462 \nL 326.423676 178.201463 \nL 321.111496 182.112981 \nL 315.495221 186.007459 \nL 309.601162 189.858997 \nL 303.455126 193.641583 \nL 297.0823 197.329342 \nL 290.507013 200.896792 \nL 283.752656 204.319079 \nL 276.841586 207.572221 \nL 269.795053 210.63334 \nL 262.633183 213.480911 \nL 255.374977 216.094936 \nL 249.265849 218.081689 \nL 243.112106 219.884036 \nL 236.923106 221.493451 \nL 230.707789 222.90247 \nL 224.474726 224.10474 \nL 218.232165 225.095077 \nL 211.988093 225.869487 \nL 205.750298 226.425194 \nL 199.526429 226.760678 \nL 193.324067 226.875666 \nL 187.15078 226.771138 \nL 181.014193 226.449317 \nL 174.922057 225.913666 \nL 168.882288 225.168821 \nL 162.903043 224.220588 \nL 156.992759 223.075899 \nL 151.160198 221.742736 \nL 145.414481 220.230084 \nL 139.765133 218.54786 \nL 133.127132 216.320575 \nL 126.660211 213.884739 \nL 120.383226 211.261811 \nL 114.3159 208.474412 \nL 108.478804 205.546095 \nL 102.893194 202.501085 \nL 97.581014 199.364018 \nL 92.564641 196.15972 \nL 87.866779 192.912929 \nL 83.510304 189.648057 \nL 79.517961 186.388946 \nL 75.912202 183.158647 \nL 72.714928 179.979197 \nL 69.947238 176.871407 \nL 67.983475 174.350378 \nL 66.342874 171.903036 \nL 65.035616 169.538976 \nL 64.071032 167.266922 \nL 63.551771 165.52081 \nL 63.261059 163.842169 \nL 63.202278 162.234174 \nL 63.378388 160.699592 \nL 63.791799 159.240785 \nL 64.444446 157.859707 \nL 65.337733 156.557902 \nL 66.472528 155.336511 \nL 67.849138 154.196275 \nL 69.467277 153.137542 \nL 71.326152 152.160278 \nL 73.986079 151.052618 \nL 77.015921 150.070035 \nL 80.410318 149.21015 \nL 84.162559 148.469821 \nL 89.126144 147.733798 \nL 94.576942 147.156582 \nL 101.526594 146.671934 \nL 109.079371 146.375588 \nL 118.400309 146.245735 \nL 129.689286 146.334241 \nL 143.114099 146.679119 \nL 160.24986 147.366341 \nL 181.317764 148.444772 \nL 209.424625 150.114469 \nL 240.915989 152.197241 \nL 266.967245 154.128825 \nL 285.944297 155.745047 \nL 301.105001 157.251406 \nL 312.768438 158.610438 \nL 322.500864 159.936883 \nL 331.578518 161.394545 \nL 338.945915 162.79227 \nL 345.745967 164.316412 \nL 351.104169 165.731494 \nL 356.01408 167.253029 \nL 360.464746 168.885794 \nL 363.816514 170.334044 \nL 366.839527 171.863473 \nL 369.531112 173.474797 \nL 371.889735 175.168002 \nL 373.914954 176.942307 \nL 375.295464 178.419106 \nL 376.463788 179.945614 \nL 377.421152 181.520299 \nL 378.169194 183.141273 \nL 378.709923 184.806305 \nL 379.045749 186.512811 \nL 379.179409 188.257865 \nL 379.11399 190.038192 \nL 378.852896 191.850193 \nL 378.399773 193.689937 \nL 377.56942 196.022145 \nL 376.453461 198.382116 \nL 375.060647 200.760233 \nL 373.400132 203.146233 \nL 371.481398 205.529298 \nL 369.314233 207.89811 \nL 366.908582 210.240905 \nL 363.721202 213.000849 \nL 360.222329 215.684446 \nL 356.429351 218.269915 \nL 352.359328 220.735344 \nL 348.028982 223.058902 \nL 343.454506 225.219101 \nL 338.651472 227.194972 \nL 334.485111 228.686131 \nL 330.178601 230.024101 \nL 325.739794 231.198272 \nL 321.176185 232.19869 \nL 316.494866 233.016108 \nL 311.702602 233.642101 \nL 306.805799 234.069106 \nL 301.810562 234.290433 \nL 296.722692 234.300411 \nL 291.547776 234.094359 \nL 286.29119 233.66869 \nL 280.958181 233.020865 \nL 275.553887 232.149481 \nL 270.083429 231.054263 \nL 264.551954 229.736041 \nL 258.964709 228.196793 \nL 253.327096 226.439638 \nL 247.644755 224.468777 \nL 240.775286 221.829155 \nL 233.860915 218.900565 \nL 226.913486 215.69618 \nL 219.945885 212.231133 \nL 212.972172 208.522388 \nL 206.007692 204.588561 \nL 197.916525 199.741569 \nL 189.889796 194.649949 \nL 181.959317 189.350044 \nL 174.159657 183.879884 \nL 166.528098 178.278747 \nL 158.063319 171.768546 \nL 149.93323 165.200133 \nL 142.204095 158.633808 \nL 135.823949 152.936669 \nL 129.850202 147.325249 \nL 124.329905 141.836792 \nL 119.309621 136.506756 \nL 115.438888 132.089579 \nL 111.996312 127.832899 \nL 109.007916 123.754849 \nL 106.882101 120.504938 \nL 105.101541 117.399342 \nL 103.678052 114.445947 \nL 102.803495 112.197586 \nL 102.168998 110.054355 \nL 101.778714 108.019101 \nL 101.636186 106.094304 \nL 101.744255 104.282083 \nL 102.10509 102.584194 \nL 102.720128 101.002036 \nL 103.590098 99.536656 \nL 104.714989 98.188762 \nL 106.093987 96.958729 \nL 107.72554 95.846618 \nL 109.607342 94.852168 \nL 111.736285 93.97484 \nL 114.108555 93.213811 \nL 117.409015 92.424414 \nL 121.071906 91.812425 \nL 125.084966 91.374707 \nL 129.43427 91.107691 \nL 135.075373 91.006989 \nL 141.148793 91.138949 \nL 147.622236 91.495697 \nL 155.633685 92.185099 \nL 164.083391 93.156156 \nL 172.909266 94.395806 \nL 182.04673 95.891419 \nL 191.429456 97.63103 \nL 200.990173 99.603576 \nL 210.661383 101.799067 \nL 220.376113 104.208634 \nL 230.068616 106.824643 \nL 239.675029 109.640611 \nL 249.133985 112.651179 \nL 258.387198 115.851929 \nL 266.113173 118.74401 \nL 273.615598 121.771167 \nL 280.864698 124.931589 \nL 287.833208 128.2235 \nL 294.496507 131.645006 \nL 299.800221 134.593711 \nL 304.865544 137.629453 \nL 309.682648 140.750496 \nL 314.243118 143.95478 \nL 318.539904 147.239861 \nL 322.567308 150.602851 \nL 326.321028 154.040377 \nL 329.798064 157.548524 \nL 332.996701 161.122796 \nL 335.916464 164.758084 \nL 338.558084 168.448631 \nL 340.923441 172.188016 \nL 343.015441 175.969135 \nL 344.838008 179.784191 \nL 346.396002 183.624701 \nL 347.695101 187.481502 \nL 348.741741 191.344771 \nL 349.543046 195.20405 \nL 350.10667 199.048266 \nL 350.440773 202.865802 \nL 350.553927 206.644526 \nL 350.45499 210.37184 \nL 350.153042 214.034766 \nL 349.657278 217.62001 \nL 348.976949 221.114024 \nL 348.12127 224.503098 \nL 347.099364 227.773465 \nL 345.920142 230.911341 \nL 344.592282 233.903058 \nL 343.124156 236.735151 \nL 341.523807 239.394463 \nL 339.798814 241.868194 \nL 337.956375 244.14404 \nL 336.003182 246.210299 \nL 333.945461 248.055878 \nL 331.788876 249.670485 \nL 329.538555 251.044615 \nL 327.199127 252.169667 \nL 324.774682 253.038046 \nL 322.268763 253.643129 \nL 320.207405 253.933878 \nL 318.097181 254.050252 \nL 315.392395 253.947741 \nL 312.614863 253.567372 \nL 309.765952 252.907801 \nL 306.846706 251.968845 \nL 303.857819 250.751541 \nL 300.799733 249.258082 \nL 297.672619 247.491845 \nL 294.47653 245.457314 \nL 290.550029 242.669699 \nL 286.523824 239.515528 \nL 282.39771 236.008498 \nL 277.457696 231.491885 \nL 272.382468 226.544034 \nL 266.418958 220.400619 \nL 259.50794 212.925582 \nL 251.592154 204.008785 \nL 241.798878 192.608723 \nL 229.200952 177.567692 \nL 212.093577 156.770693 \nL 194.373846 134.906149 \nL 182.368254 119.786366 \nL 173.452638 108.226955 \nL 166.657446 99.068435 \nL 161.144575 91.258021 \nL 156.79776 84.698253 \nL 153.47004 79.277715 \nL 151.000492 74.882308 \nL 148.9068 70.728374 \nL 147.208185 66.824182 \nL 146.106718 63.766653 \nL 145.299773 60.891062 \nL 144.794396 58.200404 \nL 144.611045 56.182716 \nL 144.626494 54.286018 \nL 144.842279 52.51114 \nL 145.259273 50.858721 \nL 145.877678 49.329235 \nL 146.697 47.922946 \nL 147.716068 46.639956 \nL 148.933004 45.480221 \nL 150.345251 44.443543 \nL 151.949548 43.529573 \nL 153.741953 42.737855 \nL 156.239923 41.91925 \nL 159.014156 41.28943 \nL 162.052713 40.84686 \nL 165.34218 40.58983 \nL 168.86779 40.516522 \nL 173.387578 40.668359 \nL 178.19436 41.078588 \nL 183.256138 41.743812 \nL 188.539112 42.660662 \nL 194.008035 43.825926 \nL 199.626546 45.236548 \nL 205.357543 46.889689 \nL 211.16353 48.782784 \nL 217.006993 50.913476 \nL 222.850747 53.279656 \nL 228.658279 55.879441 \nL 234.394091 58.711052 \nL 240.023996 61.772848 \nL 244.611132 64.498984 \nL 249.084218 67.382819 \nL 253.426398 70.42328 \nL 257.621908 73.619148 \nL 261.656159 76.969037 \nL 265.515798 80.47131 \nL 269.188752 84.124034 \nL 272.664296 87.924947 \nL 275.933056 91.871388 \nL 278.987045 95.960232 \nL 281.819674 100.187843 \nL 284.425714 104.550016 \nL 286.801329 109.041941 \nL 288.944014 113.658147 \nL 290.852564 118.392459 \nL 292.52702 123.237967 \nL 293.968637 128.186995 \nL 295.179797 133.231055 \nL 296.16393 138.36086 \nL 296.92546 143.566289 \nL 297.469698 148.836391 \nL 297.802765 154.159392 \nL 297.931494 159.522702 \nL 297.863338 164.912937 \nL 297.532924 171.396792 \nL 296.945094 177.873194 \nL 296.11508 184.314951 \nL 295.058551 190.693638 \nL 293.791375 196.979766 \nL 292.329432 203.142999 \nL 290.688408 209.152362 \nL 288.883632 214.976479 \nL 286.929915 220.583856 \nL 284.84144 225.943152 \nL 282.631613 231.023473 \nL 280.312992 235.794675 \nL 277.897221 240.227654 \nL 275.39497 244.294674 \nL 273.250726 247.385449 \nL 271.05825 250.189866 \nL 268.82214 252.694933 \nL 266.546535 254.888773 \nL 264.235113 256.760783 \nL 262.362401 258.020389 \nL 260.470343 259.063974 \nL 258.560272 259.888025 \nL 256.633372 260.489687 \nL 254.690694 260.866711 \nL 252.733183 261.017527 \nL 250.761666 260.941181 \nL 248.776892 260.637423 \nL 246.779534 260.106629 \nL 244.7702 259.34985 \nL 242.749461 258.368807 \nL 240.717861 257.16584 \nL 238.163894 255.354636 \nL 235.594847 253.208503 \nL 233.011843 250.736051 \nL 230.416121 247.947215 \nL 227.809087 244.853203 \nL 224.668004 240.755128 \nL 221.516255 236.259011 \nL 218.357758 231.390328 \nL 214.670566 225.275636 \nL 210.989348 218.736405 \nL 206.803044 210.804208 \nL 202.656698 202.452764 \nL 198.571906 193.756342 \nL 194.081057 183.653062 \nL 189.739504 173.311569 \nL 185.59176 162.833016 \nL 181.68632 152.313991 \nL 178.459897 143.003355 \nL 175.503283 133.792029 \nL 173.167605 125.856852 \nL 171.093214 118.073577 \nL 169.305016 110.473063 \nL 168.01819 104.125061 \nL 166.973363 97.947787 \nL 166.183658 91.955546 \nL 165.660967 86.161114 \nL 165.436931 81.491701 \nL 165.410754 76.973279 \nL 165.586711 72.610944 \nL 165.968142 68.409154 \nL 166.557372 64.37176 \nL 167.35565 60.502051 \nL 168.363127 56.802749 \nL 169.578784 53.276128 \nL 171.000423 49.923957 \nL 172.62464 46.747622 \nL 174.446826 43.748119 \nL 176.461141 40.926112 \nL 178.660556 38.281982 \nL 181.036861 35.815856 \nL 183.580693 33.527673 \nL 186.28159 31.417195 \nL 189.128039 29.484071 \nL 192.10754 27.727862 \nL 195.206676 26.148079 \nL 198.411197 24.744198 \nL 201.706105 23.515737 \nL 205.075756 22.462249 \nL 209.19516 21.428477 \nL 213.370044 20.645608 \nL 217.570968 20.113344 \nL 221.76814 19.831634 \nL 225.931712 19.800679 \nL 230.03207 20.020927 \nL 234.040126 20.493074 \nL 237.289236 21.079603 \nL 240.438797 21.842308 \nL 243.473649 22.781895 \nL 246.379344 23.899103 \nL 249.142283 25.194687 \nL 251.749758 26.669385 \nL 254.19006 28.323929 \nL 256.452537 30.158966 \nL 258.527657 32.175019 \nL 260.407052 34.372511 \nL 262.083559 36.751641 \nL 263.551263 39.312426 \nL 264.805491 42.054626 \nL 265.842824 44.9777 \nL 266.661126 48.080794 \nL 267.259474 51.362687 \nL 267.638167 54.821736 \nL 267.798696 58.455907 \nL 267.743668 62.26266 \nL 267.47677 66.238989 \nL 267.002718 70.381326 \nL 266.168444 75.565429 \nL 265.055471 80.974429 \nL 263.676811 86.59884 \nL 261.75184 93.418403 \nL 259.509695 100.496859 \nL 256.592841 108.875017 \nL 253.337529 117.525009 \nL 249.323311 127.528856 \nL 244.496427 138.904244 \nL 238.83368 151.615342 \nL 232.898427 164.388845 \nL 226.782106 177.062048 \nL 220.564818 189.461322 \nL 214.882212 200.343123 \nL 209.213597 210.709416 \nL 204.151095 219.4833 \nL 199.697933 226.756826 \nL 195.845695 232.660319 \nL 192.039957 238.088984 \nL 188.817674 242.333924 \nL 185.633893 246.177542 \nL 182.489846 249.598754 \nL 179.900842 252.113476 \nL 177.340529 254.31223 \nL 174.809325 256.186789 \nL 172.307666 257.730254 \nL 170.327952 258.722936 \nL 168.367799 259.498093 \nL 166.427586 260.054231 \nL 164.50779 260.390471 \nL 162.60898 260.506588 \nL 160.731851 260.402973 \nL 158.877209 260.080646 \nL 157.046012 259.541259 \nL 155.239369 258.787096 \nL 153.458571 257.821028 \nL 151.705049 256.646525 \nL 149.980452 255.267639 \nL 147.868162 253.263681 \nL 145.80793 250.957718 \nL 143.804249 248.361113 \nL 141.862117 245.48631 \nL 139.987054 242.346791 \nL 137.83401 238.250243 \nL 135.79754 233.819589 \nL 133.889952 229.082547 \nL 132.124443 224.0679 \nL 130.515025 218.805188 \nL 129.07641 213.324462 \nL 127.823895 207.655964 \nL 126.773175 201.829846 \nL 125.940222 195.875923 \nL 125.34104 189.823424 \nL 124.991483 183.700779 \nL 124.902091 178.564817 \nL 125.005499 173.414468 \nL 125.309974 168.264354 \nL 125.823347 163.12842 \nL 126.55285 158.019891 \nL 127.505034 152.951233 \nL 128.685704 147.934131 \nL 130.099785 142.979475 \nL 131.751284 138.097349 \nL 133.643143 133.297046 \nL 135.777213 128.587061 \nL 138.15416 123.975115 \nL 140.773403 119.468186 \nL 143.633059 115.07253 \nL 146.7299 110.793721 \nL 150.059317 106.636704 \nL 153.615285 102.605819 \nL 157.390357 98.704872 \nL 161.375671 94.937185 \nL 165.560936 91.305637 \nL 169.934472 87.812748 \nL 174.483227 84.460706 \nL 179.192845 81.25144 \nL 184.0477 78.186672 \nL 189.03097 75.267989 \nL 195.155076 71.960454 \nL 201.405308 68.867819 \nL 207.746881 65.992519 \nL 214.143418 63.3371 \nL 220.557254 60.904228 \nL 226.949765 58.696799 \nL 233.281711 56.717969 \nL 239.513591 54.971157 \nL 246.60511 53.231418 \nL 252.485705 52.000318 \nL 258.143658 51.013746 \nL 263.542379 50.276027 \nL 268.646944 49.791578 \nL 273.424426 49.564814 \nL 277.844222 49.600012 \nL 281.233873 49.83242 \nL 284.340983 50.251796 \nL 287.152381 50.860158 \nL 289.656482 51.659255 \nL 291.431784 52.436878 \nL 292.999714 53.338138 \nL 294.356701 54.363477 \nL 295.499878 55.513217 \nL 296.427128 56.787467 \nL 297.137054 58.186176 \nL 297.629002 59.70908 \nL 297.903045 61.355721 \nL 297.95996 63.125419 \nL 297.801248 65.017286 \nL 297.429082 67.030184 \nL 296.668091 69.714441 \nL 295.585005 72.582512 \nL 294.188249 75.630652 \nL 292.487604 78.854512 \nL 290.061358 82.948079 \nL 287.23477 87.27784 \nL 283.46233 92.613179 \nL 279.21681 98.235793 \nL 273.840099 104.985717 \nL 267.201554 112.949977 \nL 259.206232 122.193984 \nL 248.931727 133.721044 \nL 236.285193 147.568479 \nL 221.35547 163.589043 \nL 206.314339 179.406493 \nL 194.243613 191.802557 \nL 184.246502 201.781218 \nL 175.38658 210.320406 \nL 167.628123 217.485307 \nL 160.918282 223.381719 \nL 155.198611 228.139149 \nL 149.624633 232.492378 \nL 144.965094 235.883067 \nL 140.415945 238.94458 \nL 135.978116 241.664848 \nL 131.652363 244.033726 \nL 128.133728 245.733453 \nL 124.693964 247.179928 \nL 121.33374 248.370626 \nL 118.053913 249.30412 \nL 114.855583 249.980036 \nL 111.740133 250.399122 \nL 108.709308 250.563187 \nL 105.765222 250.475136 \nL 102.910402 250.138921 \nL 100.147849 249.559506 \nL 97.480998 248.742827 \nL 94.913793 247.695805 \nL 92.450662 246.426204 \nL 90.096542 244.942648 \nL 87.856864 243.254509 \nL 85.737582 241.371849 \nL 83.7451 239.305341 \nL 81.886267 237.066186 \nL 80.168387 234.666054 \nL 78.599146 232.116981 \nL 77.186577 229.431263 \nL 75.939008 226.621392 \nL 74.865044 223.699962 \nL 73.973437 220.679593 \nL 73.273098 217.572826 \nL 72.772969 214.392071 \nL 72.481961 211.149492 \nL 72.408921 207.856973 \nL 72.562506 204.526024 \nL 72.951088 201.167726 \nL 73.582731 197.792694 \nL 74.465047 194.410987 \nL 75.605138 191.032107 \nL 77.009526 187.664935 \nL 78.684036 184.31773 \nL 80.63374 180.998081 \nL 82.862879 177.712919 \nL 85.374813 174.468506 \nL 88.171888 171.270431 \nL 91.255448 168.123631 \nL 94.625734 165.032413 \nL 98.281839 162.000468 \nL 102.221722 159.030915 \nL 106.442053 156.126333 \nL 110.938278 153.288811 \nL 115.704613 150.519994 \nL 120.733924 147.821136 \nL 127.104329 144.676137 \nL 133.824359 141.634293 \nL 140.874401 138.696292 \nL 148.232274 135.862573 \nL 155.873264 133.133485 \nL 165.10926 130.082346 \nL 174.646552 127.175227 \nL 184.434099 124.413839 \nL 195.856063 121.439889 \nL 207.446779 118.665651 \nL 219.115034 116.099271 \nL 230.76604 113.751399 \nL 242.302553 111.635242 \nL 253.626055 109.766502 \nL 264.638022 108.163148 \nL 275.241258 106.84508 \nL 285.34122 105.833667 \nL 293.694631 105.217677 \nL 301.536154 104.868504 \nL 307.80945 104.792768 \nL 313.636367 104.932846 \nL 318.988598 105.29709 \nL 323.067796 105.777393 \nL 326.78673 106.422603 \nL 330.134016 107.236124 \nL 333.099982 108.220754 \nL 335.192786 109.133121 \nL 337.033164 110.157157 \nL 338.618598 111.293324 \nL 339.947293 112.541741 \nL 341.018213 113.902194 \nL 341.831051 115.374112 \nL 342.386219 116.956548 \nL 342.684858 118.648185 \nL 342.728788 120.44732 \nL 342.520513 122.351867 \nL 342.063204 124.359348 \nL 341.360635 126.46689 \nL 340.417202 128.671245 \nL 338.906784 131.55725 \nL 337.038597 134.580885 \nL 334.824637 137.733326 \nL 332.277948 141.004899 \nL 328.802393 145.073218 \nL 324.893407 149.278366 \nL 320.577849 153.599323 \nL 315.883518 158.01377 \nL 309.966014 163.250794 \nL 303.617278 168.544313 \nL 296.882872 173.854195 \nL 289.807652 179.139438 \nL 282.435287 184.358634 \nL 274.807869 189.470455 \nL 266.96549 194.434114 \nL 258.94601 199.209869 \nL 251.958157 203.124782 \nL 244.887139 206.850578 \nL 237.752461 210.365606 \nL 230.572289 213.64967 \nL 223.363516 216.684229 \nL 216.141835 219.45259 \nL 210.124464 221.545528 \nL 204.116201 223.435955 \nL 198.124549 225.117544 \nL 192.156654 226.585083 \nL 186.219374 227.83452 \nL 180.319324 228.862947 \nL 174.462964 229.668677 \nL 168.656656 230.251189 \nL 162.906716 230.611195 \nL 157.2195 230.750555 \nL 151.601461 230.672333 \nL 146.059173 230.380712 \nL 140.599438 229.881005 \nL 135.229291 229.179579 \nL 129.956057 228.283814 \nL 124.787383 227.202028 \nL 119.731266 225.943467 \nL 114.796062 224.518169 \nL 109.045789 222.602947 \nL 103.498116 220.483042 \nL 98.169636 218.179465 \nL 93.077739 215.714139 \nL 88.240436 213.109673 \nL 83.676309 210.389107 \nL 79.404416 207.575675 \nL 75.444111 204.692583 \nL 71.814886 201.762748 \nL 68.536222 198.808585 \nL 65.627346 195.851788 \nL 63.499343 193.400773 \nL 61.651746 190.973774 \nL 60.094714 188.581592 \nL 58.837864 186.234351 \nL 57.890257 183.941439 \nL 57.36051 182.152028 \nL 57.038024 180.40692 \nL 56.926445 178.709783 \nL 57.029007 177.063917 \nL 57.348618 175.472263 \nL 57.887762 173.937371 \nL 58.648499 172.461423 \nL 59.632458 171.046217 \nL 60.840811 169.693173 \nL 62.274257 168.403342 \nL 63.933017 167.177403 \nL 66.322886 165.735283 \nL 69.062787 164.393335 \nL 72.14993 163.150606 \nL 75.580287 162.005379 \nL 79.348647 160.955222 \nL 84.307751 159.816138 \nL 89.730982 158.803037 \nL 96.623755 157.770272 \nL 104.098239 156.885412 \nL 113.310843 156.036605 \nL 124.464178 155.261572 \nL 137.735401 154.585258 \nL 154.704237 153.971367 \nL 177.16306 153.411525 \nL 210.017255 152.845526 \nL 250.965174 152.36319 \nL 276.646518 152.256553 \nL 295.134313 152.390812 \nL 309.735023 152.724773 \nL 320.836533 153.194496 \nL 329.988359 153.791166 \nL 337.396556 154.471525 \nL 344.209419 155.315796 \nL 349.55238 156.180687 \nL 354.419555 157.184361 \nL 358.797001 158.333639 \nL 362.062495 159.406631 \nL 364.974743 160.587044 \nL 367.529761 161.876558 \nL 369.724874 163.276042 \nL 371.220843 164.474847 \nL 372.485387 165.743656 \nL 373.518888 167.081691 \nL 374.322202 168.487791 \nL 374.896693 169.960406 \nL 375.244199 171.497597 \nL 375.367003 173.097031 \nL 375.267855 174.755984 \nL 374.949892 176.471347 \nL 374.416668 178.239632 \nL 373.672103 180.056979 \nL 372.450738 182.391191 \nL 370.914867 184.786441 \nL 369.074215 187.232918 \nL 366.939098 189.720076 \nL 364.520341 192.236676 \nL 361.259245 195.278736 \nL 357.625897 198.324601 \nL 353.6407 201.351855 \nL 349.324317 204.337379 \nL 344.697392 207.257569 \nL 339.780432 210.088562 \nL 334.593583 212.806526 \nL 329.156463 215.387844 \nL 323.488141 217.809423 \nL 317.606946 220.048881 \nL 311.530467 222.084811 \nL 306.329686 223.611355 \nL 301.014213 224.97158 \nL 295.592928 226.15533 \nL 290.074327 227.153291 \nL 284.466562 227.957087 \nL 278.777449 228.559306 \nL 273.014524 228.953596 \nL 267.185081 229.134703 \nL 261.296204 229.098526 \nL 255.354851 228.842127 \nL 249.367899 228.363755 \nL 243.342198 227.66291 \nL 237.284643 226.740274 \nL 231.20225 225.597797 \nL 225.1022 224.238605 \nL 218.991919 222.667019 \nL 212.879133 220.888543 \nL 206.771934 218.9098 \nL 199.462684 216.281875 \nL 192.189369 213.391976 \nL 184.968679 210.25735 \nL 177.818479 206.897081 \nL 170.757869 203.331897 \nL 163.807218 199.583958 \nL 156.988188 195.676666 \nL 150.323672 191.63445 \nL 142.775916 186.781668 \nL 135.511463 181.820551 \nL 128.572223 176.79261 \nL 122.001481 171.73938 \nL 115.843442 166.701937 \nL 110.142733 161.720398 \nL 105.654119 157.524389 \nL 101.561698 153.421228 \nL 97.892264 149.433028 \nL 94.671514 145.580538 \nL 92.347878 142.487716 \nL 90.36587 139.512763 \nL 88.7377 136.665078 \nL 87.474424 133.953166 \nL 86.733252 131.886519 \nL 86.236432 129.915081 \nL 85.987874 128.041896 \nL 85.990876 126.269617 \nL 86.24808 124.60049 \nL 86.761506 123.036364 \nL 87.532476 121.578691 \nL 88.561643 120.228533 \nL 89.848945 118.986567 \nL 91.3936 117.853097 \nL 93.194128 116.828062 \nL 95.248319 115.91107 \nL 97.553246 115.101376 \nL 100.781416 114.238525 \nL 104.387016 113.53898 \nL 108.359741 112.999406 \nL 112.687698 112.615875 \nL 118.331148 112.355329 \nL 124.440808 112.304605 \nL 130.98792 112.454524 \nL 139.137294 112.870078 \nL 147.786005 113.529682 \nL 158.208385 114.561799 \nL 169.118722 115.868269 \nL 181.859833 117.638192 \nL 194.964066 119.697842 \nL 208.293668 122.021591 \nL 221.711612 124.587998 \nL 235.083647 127.380165 \nL 246.826469 130.041544 \nL 258.343725 132.865718 \nL 269.55346 135.849349 \nL 279.049542 138.589787 \nL 288.204422 141.451447 \nL 296.974849 144.435108 \nL 304.156665 147.090455 \nL 311.005276 149.836918 \nL 317.50117 152.67501 \nL 323.627319 155.604904 \nL 329.369231 158.626282 \nL 333.851935 161.213307 \nL 338.053906 163.862232 \nL 341.970789 166.571645 \nL 345.599432 169.33965 \nL 348.93785 172.163811 \nL 351.985185 175.041128 \nL 354.74166 177.96799 \nL 357.208575 180.940151 \nL 359.388214 183.952721 \nL 361.283799 187.000136 \nL 362.899433 190.076168 \nL 364.24003 193.173914 \nL 365.311235 196.285828 \nL 366.119358 199.40371 \nL 366.671313 202.518746 \nL 366.974509 205.621549 \nL 367.036778 208.70218 \nL 366.866301 211.750212 \nL 366.471547 214.754775 \nL 365.86116 217.704608 \nL 365.043904 220.588139 \nL 364.028552 223.393552 \nL 362.823866 226.108852 \nL 361.438505 228.721951 \nL 359.880944 231.220743 \nL 358.159428 233.593174 \nL 356.28196 235.827374 \nL 354.256192 237.911679 \nL 352.089418 239.834758 \nL 349.788507 241.585679 \nL 347.35993 243.15399 \nL 344.80968 244.529813 \nL 342.143305 245.703893 \nL 339.365837 246.667694 \nL 336.481885 247.41344 \nL 333.49554 247.934182 \nL 330.410459 248.223877 \nL 327.229844 248.277387 \nL 323.956507 248.090569 \nL 320.592816 247.66026 \nL 317.140832 246.984335 \nL 313.602268 246.061699 \nL 309.978593 244.89231 \nL 306.271085 243.477164 \nL 302.480802 241.81832 \nL 297.824577 239.510389 \nL 293.052174 236.863164 \nL 288.165276 233.885849 \nL 283.165783 230.589529 \nL 277.193832 226.357929 \nL 271.076409 221.733106 \nL 264.819565 216.74118 \nL 257.508259 210.623474 \nL 249.096495 203.270419 \nL 239.551408 194.598698 \nL 228.867618 184.567777 \nL 217.0883 173.197733 \nL 204.334284 160.587035 \nL 190.84137 146.928599 \nL 178.797377 134.417433 \nL 169.178607 124.125975 \nL 161.04699 115.115011 \nL 154.343503 107.35921 \nL 148.956523 100.794797 \nL 144.739304 95.335422 \nL 141.030158 90.164758 \nL 138.285564 85.977632 \nL 135.966621 82.02834 \nL 134.374395 78.926068 \nL 133.102932 76.00081 \nL 132.16155 73.256942 \nL 131.558134 70.698183 \nL 131.323048 68.786567 \nL 131.310824 66.996747 \nL 131.523248 65.329784 \nL 131.961414 63.786493 \nL 132.625666 62.367454 \nL 133.515619 61.073041 \nL 134.63013 59.903378 \nL 135.967308 58.858415 \nL 137.524515 57.937888 \nL 139.298368 57.141355 \nL 141.284741 56.468203 \nL 144.059128 55.799085 \nL 147.146947 55.319733 \nL 150.535546 55.028037 \nL 154.210704 54.921649 \nL 158.976907 55.034994 \nL 164.103305 55.406796 \nL 169.557591 56.032166 \nL 175.305237 56.906107 \nL 181.309797 58.023639 \nL 187.533284 59.379896 \nL 195.018454 61.257634 \nL 202.684818 63.446817 \nL 209.351597 65.566153 \nL 216.064065 67.905703 \nL 222.782357 70.461956 \nL 229.467416 73.231707 \nL 236.081333 76.211943 \nL 242.587658 79.39985 \nL 248.951697 82.792689 \nL 254.122733 85.77461 \nL 259.15451 88.895286 \nL 264.030479 92.152952 \nL 268.735343 95.545691 \nL 273.255112 99.071366 \nL 277.57715 102.727556 \nL 281.69022 106.511509 \nL 285.584509 110.420113 \nL 289.251638 114.449782 \nL 292.684664 118.596432 \nL 295.87808 122.855433 \nL 298.827799 127.221552 \nL 301.531101 131.688914 \nL 303.986606 136.250952 \nL 306.194218 140.900383 \nL 308.155085 145.629177 \nL 309.871506 150.428538 \nL 311.346852 155.288894 \nL 312.585521 160.199884 \nL 313.592808 165.15037 \nL 314.374865 170.128444 \nL 314.938542 175.121451 \nL 315.291333 180.116021 \nL 315.441282 185.098107 \nL 315.396897 190.053029 \nL 315.099526 195.941569 \nL 314.550721 201.741712 \nL 313.766497 207.425298 \nL 312.762941 212.963518 \nL 311.556004 218.327135 \nL 310.161341 223.486746 \nL 308.59414 228.413039 \nL 306.868946 233.077072 \nL 304.999543 237.450581 \nL 302.99889 241.506187 \nL 301.240083 244.624148 \nL 299.404874 247.488857 \nL 297.499163 250.086856 \nL 295.528328 252.405595 \nL 293.497222 254.433577 \nL 291.410205 256.160457 \nL 289.702917 257.318988 \nL 287.964035 258.274854 \nL 286.195091 259.024527 \nL 284.397433 259.565042 \nL 282.572224 259.894018 \nL 280.720468 260.009687 \nL 278.842989 259.910878 \nL 276.940475 259.597035 \nL 275.013491 259.068216 \nL 273.062476 258.325076 \nL 271.087746 257.368903 \nL 268.586366 255.877038 \nL 266.048631 254.060239 \nL 263.474751 251.92489 \nL 260.864839 249.478661 \nL 257.685543 246.145558 \nL 254.454783 242.395543 \nL 251.173035 238.248641 \nL 247.281022 232.938567 \nL 243.322926 227.156587 \nL 238.722814 220.023401 \nL 233.45899 211.406414 \nL 227.517873 201.209486 \nL 220.903269 189.392191 \nL 213.650336 175.988763 \nL 205.845164 161.124379 \nL 198.22422 146.1726 \nL 191.489041 132.515895 \nL 185.689767 120.280673 \nL 180.828208 109.5025 \nL 176.862988 100.154559 \nL 173.71879 92.170721 \nL 171.297509 85.46334 \nL 169.213563 79.036266 \nL 167.715692 73.763373 \nL 166.499981 68.718248 \nL 165.579962 63.908977 \nL 165.047694 60.086452 \nL 164.734742 56.435986 \nL 164.645842 52.960467 \nL 164.784644 49.662345 \nL 165.153639 46.543587 \nL 165.754095 43.605745 \nL 166.586039 40.84999 \nL 167.417459 38.777024 \nL 168.395001 36.821363 \nL 169.516875 34.983146 \nL 170.780759 33.2624 \nL 172.183789 31.65905 \nL 174.128029 29.819713 \nL 176.276569 28.163077 \nL 178.620389 26.68852 \nL 181.149278 25.39531 \nL 183.851887 24.282626 \nL 186.715803 23.349614 \nL 189.727615 22.595367 \nL 192.873002 22.019024 \nL 196.13684 21.619745 \nL 200.187443 21.373232 \nL 204.357256 21.3794 \nL 208.61679 21.637268 \nL 212.935873 22.146082 \nL 217.283938 22.905334 \nL 221.630333 23.9148 \nL 225.944613 25.174432 \nL 230.196847 26.68446 \nL 233.671925 28.134355 \nL 237.067357 29.758666 \nL 240.367462 31.55775 \nL 243.557275 33.531923 \nL 246.622649 35.681492 \nL 249.550337 38.006723 \nL 252.328069 40.507773 \nL 254.944608 43.184659 \nL 257.38982 46.037231 \nL 259.654718 49.065108 \nL 261.731487 52.267633 \nL 263.613532 55.643869 \nL 265.295457 59.19248 \nL 266.773112 62.911755 \nL 268.043555 66.799519 \nL 269.105046 70.853124 \nL 269.95702 75.069358 \nL 270.600047 79.444461 \nL 271.035793 83.974023 \nL 271.266953 88.653036 \nL 271.297189 93.475764 \nL 271.131094 98.435772 \nL 270.680291 104.558874 \nL 269.965349 110.855478 \nL 268.998398 117.310162 \nL 267.792698 123.905842 \nL 266.362413 130.623804 \nL 264.429789 138.588734 \nL 262.236182 146.65725 \nL 259.806469 154.79139 \nL 256.772476 164.115597 \nL 253.49915 173.407582 \nL 250.021715 182.5989 \nL 246.37352 191.618026 \nL 242.585554 200.391141 \nL 238.686125 208.843068 \nL 234.700609 216.898275 \nL 231.160304 223.562324 \nL 227.584298 229.816447 \nL 224.499374 234.815068 \nL 221.402754 239.449558 \nL 218.299796 243.693236 \nL 215.195112 247.521314 \nL 212.609429 250.377514 \nL 210.027289 252.91753 \nL 207.450454 255.13081 \nL 204.8805 257.008183 \nL 202.830462 258.262958 \nL 200.786444 259.294481 \nL 198.749123 260.100087 \nL 196.719169 260.677784 \nL 194.697268 261.026243 \nL 192.684131 261.144784 \nL 190.680516 261.033399 \nL 188.68724 260.692768 \nL 186.705196 260.124244 \nL 184.735366 259.329811 \nL 182.778843 258.312143 \nL 180.836833 257.074518 \nL 178.910671 255.620855 \nL 176.52753 253.506881 \nL 174.174709 251.07249 \nL 171.855843 248.329045 \nL 169.574995 245.289157 \nL 167.336666 241.966563 \nL 164.713835 237.627064 \nL 162.168901 232.928871 \nL 159.712302 227.900681 \nL 157.355439 222.572436 \nL 155.110619 216.975062 \nL 152.991019 211.140103 \nL 151.010566 205.099445 \nL 149.183861 198.885023 \nL 147.526052 192.528534 \nL 146.052667 186.061213 \nL 144.779471 179.513556 \nL 143.722261 172.915128 \nL 142.896697 166.294364 \nL 142.318047 159.678407 \nL 142.00101 153.092966 \nL 141.946674 147.645893 \nL 142.091131 142.249946 \nL 142.441258 136.917432 \nL 143.003207 131.659834 \nL 143.782384 126.487797 \nL 144.783287 121.411123 \nL 146.009456 116.438794 \nL 147.463413 111.578968 \nL 149.146548 106.839012 \nL 151.059099 102.225529 \nL 153.200056 97.744383 \nL 155.567141 93.40075 \nL 158.156755 89.199151 \nL 160.963956 85.143495 \nL 163.982451 81.237145 \nL 167.20458 77.482939 \nL 170.621334 73.883276 \nL 174.222362 70.440165 \nL 177.996018 67.15525 \nL 181.929379 64.029909 \nL 186.008327 61.065287 \nL 190.217596 58.262331 \nL 194.540855 55.62188 \nL 198.960799 53.144654 \nL 204.366682 50.388409 \nL 209.852662 47.869395 \nL 215.384523 45.58885 \nL 220.927031 43.548184 \nL 226.444254 41.748959 \nL 231.899904 40.192983 \nL 237.257678 38.882291 \nL 242.481607 37.819149 \nL 247.536419 37.006039 \nL 252.387878 36.445667 \nL 257.003128 36.140864 \nL 261.351015 36.094543 \nL 264.74893 36.25552 \nL 267.925248 36.599721 \nL 270.865534 37.128731 \nL 273.556648 37.844094 \nL 275.986858 38.74714 \nL 277.736237 39.605549 \nL 279.307486 40.585372 \nL 280.696701 41.687032 \nL 281.900625 42.910844 \nL 282.916654 44.25699 \nL 283.742868 45.725513 \nL 284.378021 47.316337 \nL 284.82151 49.029205 \nL 285.073413 50.863719 \nL 285.134446 52.819289 \nL 285.005965 54.89516 \nL 284.581936 57.657689 \nL 283.870102 60.604388 \nL 282.877026 63.732486 \nL 281.610574 67.038676 \nL 279.742846 71.235801 \nL 277.512392 75.676308 \nL 274.478301 81.15278 \nL 271.011989 86.932788 \nL 266.568833 93.887134 \nL 261.02595 102.11902 \nL 254.291933 111.71556 \nL 245.573594 123.754444 \nL 233.194 140.453923 \nL 214.682714 165.024099 \nL 197.836936 187.048555 \nL 186.935965 200.969241 \nL 178.644556 211.230669 \nL 171.348267 219.901278 \nL 165.688074 226.309633 \nL 160.190128 232.190978 \nL 155.514216 236.866202 \nL 151.606678 240.499825 \nL 147.79157 243.770553 \nL 144.068429 246.663436 \nL 140.436758 249.165606 \nL 137.479951 250.94456 \nL 134.58629 252.439863 \nL 131.755871 253.647827 \nL 128.989016 254.565939 \nL 126.286333 255.192961 \nL 123.648783 255.528861 \nL 121.586516 255.588779 \nL 119.56764 255.464377 \nL 117.593232 255.157383 \nL 115.66453 254.670003 \nL 113.783003 254.004945 \nL 111.950279 253.165387 \nL 109.730939 251.876153 \nL 107.595008 250.328031 \nL 105.547191 248.530109 \nL 103.592719 246.492398 \nL 101.737374 244.225782 \nL 99.987478 241.741891 \nL 98.349848 239.053085 \nL 96.831777 236.172272 \nL 95.441003 233.112884 \nL 94.185665 229.888767 \nL 93.074293 226.514025 \nL 92.115671 223.002998 \nL 91.318858 219.370118 \nL 90.693071 215.629824 \nL 90.247653 211.79647 \nL 89.99196 207.884238 \nL 89.935251 203.907037 \nL 90.086711 199.878472 \nL 90.455262 195.811709 \nL 91.049519 191.719466 \nL 91.877662 187.613922 \nL 92.947356 183.506673 \nL 94.265703 179.408695 \nL 95.839077 175.330315 \nL 97.673059 171.281171 \nL 99.772385 167.270212 \nL 102.140828 163.30568 \nL 104.781116 159.395114 \nL 107.694876 155.545354 \nL 110.882562 151.762561 \nL 114.343382 148.052243 \nL 118.075286 144.419279 \nL 122.074848 140.86796 \nL 126.337313 137.402029 \nL 130.856511 134.024736 \nL 135.624865 130.738879 \nL 140.633395 127.546865 \nL 145.871695 124.450775 \nL 151.327957 121.452414 \nL 158.144541 117.985617 \nL 165.230633 114.664314 \nL 172.558238 111.49083 \nL 180.096843 108.467461 \nL 187.813553 105.596618 \nL 196.994624 102.443638 \nL 206.311374 99.506689 \nL 215.701797 96.791393 \nL 225.101438 94.30431 \nL 234.444049 92.053035 \nL 243.662298 90.046217 \nL 252.6885 88.293503 \nL 261.455383 86.805448 \nL 269.896886 85.593379 \nL 277.948952 84.669115 \nL 285.550282 84.044841 \nL 291.663097 83.757694 \nL 297.368388 83.707306 \nL 302.63491 83.900807 \nL 306.667964 84.253151 \nL 310.361857 84.78295 \nL 313.703509 85.493291 \nL 316.681536 86.386807 \nL 318.795628 87.234948 \nL 320.666744 88.202514 \nL 322.291553 89.290066 \nL 323.667518 90.497914 \nL 324.792874 91.826068 \nL 325.666606 93.27424 \nL 326.288472 94.841841 \nL 326.659 96.527959 \nL 326.779479 98.331339 \nL 326.651876 100.250409 \nL 326.278917 102.283243 \nL 325.663974 104.427574 \nL 324.811097 106.680787 \nL 323.417532 109.64589 \nL 321.669845 112.769961 \nL 319.579736 116.045654 \nL 317.16007 119.464824 \nL 313.841091 123.744607 \nL 310.093374 128.201296 \nL 305.944191 132.816629 \nL 300.634151 138.375477 \nL 294.863108 144.090352 \nL 288.67848 149.926115 \nL 281.16485 156.696346 \nL 273.243083 163.519468 \nL 264.98112 170.337041 \nL 256.443891 177.089844 \nL 247.692543 183.718617 \nL 238.783858 190.164844 \nL 230.900723 195.610679 \nL 222.96882 200.836289 \nL 215.01702 205.806612 \nL 207.071366 210.488684 \nL 200.283467 214.249278 \nL 193.530513 217.758084 \nL 186.82451 220.999194 \nL 180.176344 223.958498 \nL 173.595954 226.623825 \nL 167.092473 228.985008 \nL 161.73779 230.714453 \nL 156.447057 232.223577 \nL 151.224766 233.50993 \nL 146.075303 234.5722 \nL 141.003014 235.410131 \nL 136.012279 236.02456 \nL 131.107559 236.417406 \nL 126.293457 236.591648 \nL 121.574762 236.551313 \nL 116.956515 236.301422 \nL 112.444023 235.847944 \nL 108.042889 235.197787 \nL 103.759094 234.358694 \nL 99.59896 233.339224 \nL 95.569156 232.148667 \nL 91.676776 230.796959 \nL 87.929249 229.294626 \nL 84.334378 227.652691 \nL 80.233542 225.514237 \nL 76.379035 223.211665 \nL 72.786119 220.765843 \nL 69.470607 218.197898 \nL 66.44865 215.528994 \nL 64.166439 213.242932 \nL 62.109003 210.913281 \nL 60.285812 208.551708 \nL 58.706297 206.169544 \nL 57.379663 203.777696 \nL 56.314885 201.386579 \nL 55.520598 199.006063 \nL 55.005026 196.645398 \nL 54.798484 194.776966 \nL 54.779003 192.930839 \nL 54.95004 191.110798 \nL 55.314807 189.320313 \nL 55.876179 187.562538 \nL 56.636737 185.8403 \nL 57.598699 184.156096 \nL 58.763936 182.512094 \nL 60.133971 180.910132 \nL 61.709882 179.35172 \nL 63.970383 177.466722 \nL 66.554162 175.653219 \nL 69.46066 173.912075 \nL 72.688249 172.243441 \nL 76.234234 170.646794 \nL 80.904285 168.824171 \nL 86.018707 167.100431 \nL 91.566613 165.471439 \nL 97.534949 163.932167 \nL 105.008925 162.242048 \nL 113.006474 160.656172 \nL 122.746965 158.957733 \nL 134.407041 157.173051 \nL 148.135715 155.320671 \nL 164.030033 153.410533 \nL 183.639167 151.287879 \nL 206.965575 148.987513 \nL 233.657657 146.576517 \nL 258.325885 144.564533 \nL 277.559778 143.201056 \nL 292.978236 142.310888 \nL 306.126263 141.769712 \nL 317.125484 141.545921 \nL 326.155531 141.588984 \nL 333.427701 141.835247 \nL 340.072444 142.293693 \nL 345.242804 142.867099 \nL 349.908754 143.616064 \nL 353.40026 144.379574 \nL 356.522855 145.273508 \nL 359.270314 146.30057 \nL 361.637869 147.462657 \nL 363.256124 148.490274 \nL 364.628083 149.605105 \nL 365.753323 150.80688 \nL 366.631992 152.094935 \nL 367.264861 153.468204 \nL 367.653274 154.925209 \nL 367.7991 156.464061 \nL 367.704782 158.082458 \nL 367.373259 159.777684 \nL 366.807986 161.546613 \nL 366.012885 163.385718 \nL 364.702487 165.777273 \nL 363.049265 168.263821 \nL 361.063548 170.835964 \nL 358.756507 173.483457 \nL 355.58068 176.744319 \nL 351.980925 180.077317 \nL 347.979851 183.460678 \nL 343.600808 186.871495 \nL 338.867547 190.285935 \nL 333.804063 193.679477 \nL 328.434318 197.02712 \nL 322.78201 200.303659 \nL 316.870425 203.483904 \nL 310.722238 206.542961 \nL 304.359427 209.456476 \nL 297.803135 212.200867 \nL 291.073602 214.753596 \nL 284.190141 217.093383 \nL 278.34962 218.866223 \nL 272.425124 220.466863 \nL 266.426346 221.885653 \nL 260.362596 223.113906 \nL 254.2428 224.143972 \nL 248.075568 224.969305 \nL 241.869225 225.584507 \nL 235.631867 225.985338 \nL 229.371422 226.168803 \nL 223.095707 226.133158 \nL 216.812497 225.877879 \nL 210.529582 225.403719 \nL 204.254834 224.712716 \nL 197.996277 223.808106 \nL 191.762132 222.694368 \nL 185.560898 221.377155 \nL 179.401384 219.863271 \nL 173.292777 218.160609 \nL 167.244673 216.278106 \nL 160.080991 213.795717 \nL 153.037179 211.087478 \nL 146.13253 208.173875 \nL 139.387396 205.076854 \nL 132.823144 201.81959 \nL 126.462157 198.426262 \nL 120.327711 194.921809 \nL 114.443884 191.331688 \nL 108.835442 187.681606 \nL 103.527617 183.997277 \nL 98.545967 180.304182 \nL 93.916072 176.62732 \nL 89.663354 172.990967 \nL 85.812799 169.418469 \nL 82.388668 165.932026 \nL 79.414204 162.552492 \nL 77.294826 159.831884 \nL 75.514836 157.20929 \nL 74.085217 154.69416 \nL 73.015925 152.295031 \nL 72.425971 150.464383 \nL 72.076351 148.716292 \nL 71.970564 147.053786 \nL 72.11155 145.479479 \nL 72.501706 143.995572 \nL 73.14281 142.603852 \nL 74.036034 141.305688 \nL 75.18197 140.102042 \nL 76.580545 138.993475 \nL 78.23106 137.980153 \nL 80.132174 137.061865 \nL 82.281878 136.23803 \nL 85.314541 135.339606 \nL 88.724974 134.584741 \nL 92.50513 133.970129 \nL 97.515859 133.412077 \nL 103.026061 133.042178 \nL 109.013814 132.851301 \nL 116.570217 132.841489 \nL 124.700052 133.044689 \nL 134.632947 133.514892 \nL 146.534668 134.314948 \nL 160.526577 135.496075 \nL 176.658857 137.093941 \nL 194.881819 139.127879 \nL 215.017544 141.604955 \nL 235.192023 144.313233 \nL 253.529383 146.992534 \nL 269.855456 149.595676 \nL 284.123908 152.091755 \nL 296.380947 154.455196 \nL 306.734366 156.660108 \nL 316.517497 158.974044 \nL 324.569166 161.096938 \nL 332.114026 163.319181 \nL 338.15741 165.308217 \nL 343.794497 167.37903 \nL 349.013141 169.534726 \nL 353.80347 171.777596 \nL 357.462651 173.714232 \nL 360.815846 175.712523 \nL 363.860877 177.772069 \nL 366.596656 179.891845 \nL 369.023098 182.070166 \nL 371.141112 184.304652 \nL 372.952601 186.592207 \nL 374.460344 188.929006 \nL 375.450275 190.830861 \nL 376.250386 192.758647 \nL 376.863257 194.70939 \nL 377.29172 196.679803 \nL 377.538915 198.666324 \nL 377.598192 201.16624 \nL 377.386661 203.677169 \nL 376.91188 206.190372 \nL 376.181828 208.696506 \nL 375.204846 211.185706 \nL 373.989495 213.64762 \nL 372.544538 216.071481 \nL 370.878855 218.446174 \nL 369.001365 220.760293 \nL 366.920939 223.002242 \nL 364.646412 225.160287 \nL 362.18642 227.222648 \nL 359.54942 229.177604 \nL 356.743635 231.013512 \nL 353.776992 232.718976 \nL 350.657071 234.282854 \nL 347.391155 235.694422 \nL 343.986082 236.94337 \nL 340.448342 238.019927 \nL 336.784024 238.91492 \nL 332.998794 239.619874 \nL 329.097946 240.127035 \nL 325.086398 240.429447 \nL 320.968692 240.521018 \nL 316.749048 240.396541 \nL 312.431397 240.051776 \nL 308.019375 239.483427 \nL 303.516438 238.689243 \nL 298.925849 237.667956 \nL 294.250777 236.419365 \nL 289.494304 234.944276 \nL 284.659542 233.244557 \nL 278.758946 230.912528 \nL 272.755903 228.268133 \nL 266.656602 225.320321 \nL 260.467809 222.079971 \nL 254.197079 218.55983 \nL 246.789032 214.118812 \nL 239.29637 209.342571 \nL 231.736747 204.259655 \nL 223.041234 198.114875 \nL 214.319405 191.659556 \nL 205.61097 184.946118 \nL 195.886155 177.153091 \nL 186.30721 169.18271 \nL 176.954066 161.116374 \nL 167.913957 153.035551 \nL 159.280325 145.020631 \nL 151.151298 137.149806 \nL 144.430697 130.335149 \nL 138.259984 123.743431 \nL 133.367145 118.195326 \nL 128.995078 112.882654 \nL 125.695215 108.536573 \nL 122.83585 104.398353 \nL 120.806773 101.118652 \nL 119.112793 98.000142 \nL 117.765283 95.049284 \nL 116.774253 92.271784 \nL 116.243883 90.177945 \nL 115.950824 88.20041 \nL 115.898058 86.341021 \nL 116.087867 84.601344 \nL 116.521805 82.982612 \nL 117.200708 81.485757 \nL 118.124628 80.111445 \nL 119.292867 78.860024 \nL 120.703925 77.731584 \nL 122.355572 76.725961 \nL 124.244752 75.842739 \nL 126.367681 75.081262 \nL 128.719783 74.440692 \nL 131.974082 73.808324 \nL 135.566243 73.360724 \nL 139.482649 73.095019 \nL 143.708097 73.008048 \nL 149.162916 73.134749 \nL 155.007079 73.507539 \nL 161.206474 74.119843 \nL 167.724729 74.964938 \nL 175.681192 76.236166 \nL 183.956064 77.804643 \nL 192.483857 79.6604 \nL 201.197814 81.794022 \nL 210.030748 84.19691 \nL 218.915828 86.861257 \nL 227.787347 89.780094 \nL 235.332246 92.47982 \nL 242.781476 95.358528 \nL 250.097948 98.413069 \nL 257.246504 101.640531 \nL 264.194174 105.038106 \nL 270.910351 108.603016 \nL 276.310026 111.699498 \nL 281.514655 114.90834 \nL 286.510807 118.227527 \nL 291.28646 121.654809 \nL 295.831016 125.187618 \nL 300.135322 128.823028 \nL 304.191663 132.557687 \nL 307.993774 136.387764 \nL 311.536798 140.3089 \nL 314.817302 144.316162 \nL 317.83318 148.403994 \nL 320.583673 152.566187 \nL 323.069255 156.795848 \nL 325.291618 161.085376 \nL 327.253563 165.426448 \nL 328.958959 169.810007 \nL 330.412625 174.226269 \nL 331.620271 178.664728 \nL 332.588406 183.114178 \nL 333.324208 187.562729 \nL 333.835499 191.997859 \nL 334.130555 196.406444 \nL 334.218108 200.774814 \nL 334.107163 205.088824 \nL 333.80698 209.333905 \nL 333.210187 214.316007 \nL 332.370649 219.15114 \nL 331.304528 223.812763 \nL 330.02768 228.274259 \nL 328.555463 232.50918 \nL 326.902622 236.491519 \nL 325.083142 240.195943 \nL 323.449084 243.053056 \nL 321.715477 245.686759 \nL 319.888894 248.084276 \nL 317.975381 250.233588 \nL 315.980436 252.12357 \nL 313.909026 253.744088 \nL 311.76558 255.086026 \nL 310.001572 255.953567 \nL 308.195696 256.634115 \nL 306.349463 257.124616 \nL 304.464205 257.422537 \nL 302.541042 257.525887 \nL 300.580909 257.433188 \nL 298.584569 257.143543 \nL 296.552612 256.65657 \nL 294.485472 255.972444 \nL 291.852547 254.841232 \nL 289.165475 253.405806 \nL 286.424348 251.670101 \nL 283.629054 249.639297 \nL 280.77936 247.319828 \nL 277.287463 244.166205 \nL 273.716184 240.623114 \nL 270.065053 236.707881 \nL 265.704212 231.695563 \nL 261.234823 226.236549 \nL 255.996058 219.497296 \nL 249.941223 211.34677 \nL 242.325356 200.688997 \nL 233.062342 187.317198 \nL 220.653603 168.994598 \nL 204.517261 144.772818 \nL 191.771791 125.292031 \nL 183.156117 111.765625 \nL 176.445817 100.835436 \nL 171.458731 92.318042 \nL 167.474617 85.110149 \nL 164.379029 79.107781 \nL 161.68356 73.407817 \nL 159.715589 68.774356 \nL 158.082917 64.382519 \nL 156.801772 60.239493 \nL 156.012907 56.981474 \nL 155.484862 53.903491 \nL 155.223287 51.00806 \nL 155.232525 48.297214 \nL 155.436947 46.262525 \nL 155.817469 44.347647 \nL 156.37435 42.553021 \nL 157.107245 40.878969 \nL 158.015172 39.325675 \nL 159.09653 37.893163 \nL 160.349104 36.581358 \nL 161.770034 35.390063 \nL 163.355865 34.318968 \nL 165.102527 33.367693 \nL 167.504859 32.34638 \nL 170.14077 31.510517 \nL 172.998545 30.858914 \nL 176.065181 30.390304 \nL 179.326481 30.103373 \nL 182.767144 29.996777 \nL 187.109702 30.104992 \nL 191.65721 30.468709 \nL 196.378308 31.085769 \nL 201.24039 31.954249 \nL 206.209939 33.072369 \nL 211.252862 34.43863 \nL 216.334819 36.051751 \nL 221.42156 37.910711 \nL 226.479253 40.014665 \nL 231.474811 42.362924 \nL 236.376183 44.954963 \nL 240.36651 47.300863 \nL 244.253154 49.815411 \nL 248.020048 52.498224 \nL 251.652103 55.34887 \nL 255.135279 58.366752 \nL 258.456652 61.551073 \nL 261.604476 64.900837 \nL 264.568227 68.414715 \nL 267.338666 72.091065 \nL 269.907821 75.927835 \nL 272.269071 79.922543 \nL 274.417068 84.072202 \nL 276.347783 88.373265 \nL 278.058475 92.821605 \nL 279.547673 97.412451 \nL 280.815108 102.140346 \nL 281.861695 106.999113 \nL 282.689458 111.981829 \nL 283.301462 117.080783 \nL 283.70175 122.287455 \nL 283.895264 127.592505 \nL 283.887775 132.985757 \nL 283.685758 138.456204 \nL 283.196638 145.105897 \nL 282.451016 151.827619 \nL 281.463136 158.597683 \nL 280.247906 165.390818 \nL 278.820707 172.18027 \nL 277.197146 178.937922 \nL 275.075697 186.742469 \nL 272.732849 194.415445 \nL 270.19255 201.907031 \nL 267.477791 209.16642 \nL 264.610339 216.142356 \nL 261.610532 222.783722 \nL 258.948182 228.171831 \nL 256.213201 233.246226 \nL 253.415463 237.977092 \nL 250.563898 242.335974 \nL 248.15227 245.664877 \nL 245.712972 248.702391 \nL 243.249741 251.435161 \nL 240.765911 253.850999 \nL 238.264469 255.938981 \nL 236.252428 257.366853 \nL 234.23204 258.574535 \nL 232.204425 259.558426 \nL 230.170603 260.315545 \nL 228.13152 260.843584 \nL 226.088066 261.140891 \nL 224.041074 261.206479 \nL 221.991353 261.04004 \nL 219.939695 260.641964 \nL 217.886889 260.013307 \nL 215.833746 259.15581 \nL 213.781107 258.071857 \nL 211.729864 256.764485 \nL 209.680972 255.237381 \nL 207.124743 253.026118 \nL 204.576038 250.487928 \nL 202.037355 247.633854 \nL 199.5115 244.476163 \nL 196.50187 240.305195 \nL 193.521431 235.741697 \nL 190.577189 230.812798 \nL 187.677039 225.547259 \nL 184.361083 219.018819 \nL 181.132809 212.122553 \nL 178.009583 204.90907 \nL 175.010416 197.429587 \nL 172.155878 189.735251 \nL 169.467924 181.876623 \nL 166.969642 173.903145 \nL 164.685015 165.862667 \nL 162.638566 157.801065 \nL 160.855015 149.761876 \nL 159.554056 142.920073 \nL 158.479267 136.148964 \nL 157.64512 129.471051 \nL 157.065271 122.907177 \nL 156.752351 116.476481 \nL 156.70377 111.231933 \nL 156.854327 106.101202 \nL 157.209073 101.092665 \nL 157.772174 96.213904 \nL 158.546848 91.471744 \nL 159.535315 86.872248 \nL 160.738684 82.420787 \nL 162.156972 78.122039 \nL 163.788979 73.980043 \nL 165.632311 69.998243 \nL 167.68332 66.179536 \nL 169.937109 62.526314 \nL 172.387497 59.040502 \nL 175.02705 55.723627 \nL 177.847082 52.576861 \nL 180.837692 49.601041 \nL 183.987799 46.796782 \nL 187.285183 44.164482 \nL 190.716555 41.70434 \nL 194.267629 39.416457 \nL 197.923189 37.300856 \nL 201.66719 35.357547 \nL 206.253052 33.25292 \nL 210.911881 31.396334 \nL 215.612454 29.787944 \nL 220.32281 28.428018 \nL 225.010551 27.317078 \nL 229.643155 26.45587 \nL 234.188294 25.845376 \nL 238.614156 25.486831 \nL 242.889759 25.381679 \nL 246.985254 25.531557 \nL 250.24003 25.852556 \nL 253.33441 26.352977 \nL 256.253778 27.033924 \nL 258.984525 27.896484 \nL 261.514164 28.941729 \nL 263.83141 30.170629 \nL 265.926212 31.584073 \nL 267.436001 32.848212 \nL 268.793981 34.231241 \nL 269.99688 35.733383 \nL 271.042019 37.354772 \nL 271.927284 39.095425 \nL 272.651147 40.955232 \nL 273.212673 42.934004 \nL 273.611497 45.031375 \nL 273.881581 47.819107 \nL 273.899434 50.790029 \nL 273.668005 53.942407 \nL 273.191506 57.274074 \nL 272.475349 60.782391 \nL 271.308901 65.221138 \nL 269.820088 69.90341 \nL 268.024138 74.821767 \nL 265.563327 80.846723 \nL 262.736856 87.165658 \nL 259.099254 94.72423 \nL 254.546622 103.620639 \nL 249.001398 113.935457 \nL 241.806615 126.804871 \nL 232.877879 142.30408 \nL 221.595523 161.447087 \nL 209.510606 181.521046 \nL 200.228939 196.545962 \nL 192.453154 208.720679 \nL 186.138541 218.199226 \nL 180.600497 226.099862 \nL 175.800223 232.547788 \nL 171.697126 237.698371 \nL 167.685625 242.35285 \nL 164.320148 245.922878 \nL 161.021754 249.086305 \nL 158.32407 251.400271 \nL 155.672499 253.412737 \nL 153.066919 255.116939 \nL 150.507335 256.507422 \nL 147.993921 257.580069 \nL 146.016707 258.207465 \nL 144.069645 258.6289 \nL 142.153215 258.8442 \nL 140.268036 258.853779 \nL 138.41488 258.658618 \nL 136.594707 258.260277 \nL 134.808645 257.660898 \nL 133.058014 256.863153 \nL 131.344342 255.870297 \nL 129.669367 254.686082 \nL 127.633039 252.943272 \nL 125.664488 250.91759 \nL 123.768554 248.619562 \nL 121.950564 246.060711 \nL 120.216407 243.253546 \nL 118.572498 240.211392 \nL 117.025739 236.948292 \nL 115.308272 232.761669 \nL 113.754961 228.304434 \nL 112.380179 223.603759 \nL 111.199002 218.687344 \nL 110.227051 213.583132 \nL 109.48033 208.319084 \nL 108.975032 202.922893 \nL 108.750056 198.344781 \nL 108.713261 193.7092 \nL 108.873696 189.031125 \nL 109.240143 184.325027 \nL 109.821018 179.604834 \nL 110.624237 174.88386 \nL 111.657146 170.174766 \nL 112.926405 165.489517 \nL 114.437933 160.83936 \nL 116.196761 156.234796 \nL 118.206959 151.685576 \nL 120.471614 147.200694 \nL 122.992638 142.788397 \nL 125.770782 138.456193 \nL 128.80556 134.210884 \nL 132.095138 130.058576 \nL 135.636339 126.004728 \nL 139.424592 122.054194 \nL 143.453894 118.21126 \nL 147.716818 114.4797 \nL 152.204459 110.862824 \nL 156.90648 107.363548 \nL 161.811094 103.984431 \nL 166.905127 100.727748 \nL 172.174038 97.595538 \nL 177.601959 94.589684 \nL 184.301187 91.151924 \nL 191.172881 87.901575 \nL 198.183005 84.841564 \nL 205.295517 81.974922 \nL 212.472647 79.304868 \nL 219.675189 76.834898 \nL 228.056428 74.211239 \nL 236.352006 71.871805 \nL 244.495914 69.823942 \nL 252.422274 68.075711 \nL 260.066134 66.635703 \nL 267.364319 65.513008 \nL 273.298757 64.810288 \nL 278.89843 64.353456 \nL 284.129304 64.148317 \nL 288.959837 64.200507 \nL 292.658646 64.444388 \nL 296.04445 64.873443 \nL 299.103835 65.490188 \nL 301.82508 66.296832 \nL 303.751831 67.080074 \nL 305.451461 67.986722 \nL 306.920433 69.017299 \nL 308.155963 70.172119 \nL 309.156073 71.451259 \nL 309.919526 72.854584 \nL 310.445859 74.381688 \nL 310.735355 76.031915 \nL 310.789063 77.804353 \nL 310.608756 79.697805 \nL 310.196909 81.710803 \nL 309.556715 83.841594 \nL 308.441231 86.66759 \nL 306.983823 89.669796 \nL 305.19478 92.842902 \nL 302.626602 96.867698 \nL 299.619962 101.118195 \nL 296.199308 105.581315 \nL 291.720409 111.037726 \nL 286.757944 116.738803 \nL 280.553575 123.51884 \nL 272.978522 131.430877 \nL 264.870741 139.579326 \nL 255.358434 148.823512 \nL 244.433952 159.10466 \nL 233.184393 169.366188 \nL 222.7996 178.556235 \nL 212.365516 187.501925 \nL 203.002682 195.255629 \nL 193.720727 202.64912 \nL 185.573701 208.860326 \nL 177.5511 214.682276 \nL 170.650222 219.422407 \nL 163.872801 223.803735 \nL 158.16937 227.255105 \nL 152.56921 230.411443 \nL 147.076898 233.26096 \nL 141.696482 235.793688 \nL 136.431662 238.001606 \nL 132.135125 239.589018 \nL 127.923276 240.944246 \nL 123.79814 242.06592 \nL 119.761878 242.953674 \nL 115.816794 243.608165 \nL 111.965373 244.031061 \nL 108.210395 244.225035 \nL 104.554945 244.193731 \nL 101.002407 243.941765 \nL 97.556575 243.474657 \nL 94.221604 242.798782 \nL 91.002101 241.921363 \nL 87.903077 240.850393 \nL 84.929955 239.594563 \nL 82.088623 238.163205 \nL 79.385368 236.566238 \nL 76.826915 234.814056 \nL 74.420345 232.917474 \nL 72.173132 230.887649 \nL 70.093065 228.735997 \nL 68.188198 226.474104 \nL 66.466873 224.113656 \nL 64.937545 221.666327 \nL 63.608861 219.143748 \nL 62.489519 216.557387 \nL 61.58823 213.918492 \nL 60.913608 211.238003 \nL 60.47412 208.526514 \nL 60.278086 205.794193 \nL 60.333463 203.050719 \nL 60.647884 200.305237 \nL 61.228516 197.566324 \nL 62.082049 194.841931 \nL 63.21455 192.139382 \nL 64.631443 189.465308 \nL 66.337399 186.82568 \nL 68.33634 184.225757 \nL 70.631299 181.670112 \nL 73.224422 179.162629 \nL 76.116904 176.706514 \nL 79.308925 174.304321 \nL 82.799659 171.957985 \nL 86.587162 169.668845 \nL 90.668421 167.437691 \nL 95.947781 164.837221 \nL 101.634843 162.320291 \nL 107.717971 159.885753 \nL 114.183149 157.531816 \nL 122.186808 154.884372 \nL 130.658241 152.33939 \nL 139.563384 149.892509 \nL 150.222774 147.210798 \nL 161.335932 144.646235 \nL 174.29457 141.896217 \nL 187.633582 139.286898 \nL 202.761547 136.554786 \nL 218.051503 134.007698 \nL 234.849615 131.440409 \nL 251.394224 129.15232 \nL 266.011376 127.35269 \nL 278.667778 125.996418 \nL 290.718364 124.924527 \nL 300.821846 124.239479 \nL 310.267825 123.833364 \nL 317.933914 123.726994 \nL 324.991879 123.870327 \nL 330.525621 124.203653 \nL 335.558156 124.74061 \nL 339.354125 125.349286 \nL 342.777422 126.108677 \nL 345.819334 127.021987 \nL 347.973425 127.865152 \nL 349.875934 128.809336 \nL 351.524673 129.855099 \nL 352.918079 131.00265 \nL 354.055327 132.251826 \nL 354.936215 133.602067 \nL 355.561242 135.05243 \nL 355.931558 136.601566 \nL 356.048951 138.247717 \nL 355.91583 139.988712 \nL 355.535197 141.821971 \nL 354.910667 143.744502 \nL 354.046374 145.752907 \nL 352.635992 148.378352 \nL 350.868465 151.123739 \nL 348.755027 153.979874 \nL 346.3079 156.936686 \nL 342.949293 160.602351 \nL 339.152879 164.376963 \nL 334.943795 168.238801 \nL 330.347978 172.164883 \nL 325.391993 176.131168 \nL 320.102665 180.112771 \nL 314.506876 184.08417 \nL 308.631241 188.019452 \nL 302.501926 191.89255 \nL 296.144444 195.677479 \nL 289.5835 199.348582 \nL 282.842832 202.880781 \nL 275.945138 206.249833 \nL 268.911997 209.432515 \nL 261.763837 212.406903 \nL 254.51994 215.15258 \nL 247.198455 217.650816 \nL 241.050318 219.531451 \nL 234.869554 221.219864 \nL 228.665102 222.708463 \nL 222.445512 223.990744 \nL 216.218999 225.06137 \nL 209.993506 225.916181 \nL 203.776763 226.55226 \nL 197.576349 226.967901 \nL 191.399762 227.162663 \nL 185.254473 227.137345 \nL 179.148006 226.894012 \nL 173.087985 226.435927 \nL 167.082199 225.767557 \nL 161.138666 224.894541 \nL 155.265657 223.823625 \nL 149.471783 222.562615 \nL 143.765979 221.120345 \nL 138.15759 219.506564 \nL 131.569841 217.358643 \nL 125.154042 214.998892 \nL 118.928692 212.448541 \nL 112.91315 209.729992 \nL 107.127594 206.866591 \nL 101.592922 203.882374 \nL 96.330654 200.801822 \nL 91.362809 197.649623 \nL 86.711721 194.450384 \nL 82.399894 191.228417 \nL 78.449737 188.007488 \nL 74.883373 184.810587 \nL 71.722387 181.659705 \nL 68.987644 178.575648 \nL 67.048604 176.070698 \nL 65.430127 173.636085 \nL 64.142296 171.281423 \nL 63.194372 169.015467 \nL 62.6864 167.271877 \nL 62.405158 165.593691 \nL 62.354051 163.984105 \nL 62.535996 162.445915 \nL 62.953466 160.981512 \nL 63.608396 159.59288 \nL 64.502233 158.281599 \nL 65.635876 157.048844 \nL 67.009695 155.895393 \nL 68.62349 154.821633 \nL 70.47652 153.82757 \nL 73.127166 152.696478 \nL 76.145719 151.687838 \nL 79.526998 150.799347 \nL 83.264504 150.027949 \nL 88.208609 149.251502 \nL 93.638372 148.630563 \nL 100.562137 148.09092 \nL 108.088235 147.735477 \nL 117.378699 147.533308 \nL 128.63474 147.534685 \nL 142.026484 147.77599 \nL 159.130217 148.330111 \nL 180.175221 149.241945 \nL 209.860408 150.767071 \nL 242.938985 152.679262 \nL 268.933862 154.383712 \nL 287.830676 155.829275 \nL 302.899065 157.197588 \nL 314.470673 158.450098 \nL 324.109352 159.687868 \nL 333.082055 161.063324 \nL 340.348591 162.394927 \nL 347.039526 163.858713 \nL 352.297777 165.226827 \nL 357.101985 166.705895 \nL 361.44138 168.300735 \nL 364.696303 169.720848 \nL 367.618878 171.22526 \nL 370.206579 172.814635 \nL 372.458021 174.488889 \nL 374.016872 175.888844 \nL 375.360682 177.341752 \nL 376.490256 178.846441 \nL 377.406819 180.401387 \nL 378.11202 182.004721 \nL 378.607889 183.654216 \nL 378.896847 185.347286 \nL 378.981652 187.080996 \nL 378.865432 188.852068 \nL 378.551614 190.65688 \nL 378.043948 192.491485 \nL 377.14286 194.820111 \nL 375.95348 197.179601 \nL 374.484687 199.560267 \nL 372.745763 201.951766 \nL 370.746389 204.343194 \nL 368.49648 206.723109 \nL 366.006173 209.079664 \nL 362.71493 211.859439 \nL 359.110048 214.5663 \nL 355.209243 217.178246 \nL 351.029924 219.673119 \nL 346.589162 222.028861 \nL 341.903488 224.223726 \nL 336.988853 226.236516 \nL 332.729433 227.759992 \nL 328.330032 229.131532 \nL 323.798725 230.340377 \nL 319.143187 231.376457 \nL 314.370732 232.230401 \nL 309.488336 232.893658 \nL 304.502606 233.358516 \nL 299.419836 233.618219 \nL 294.246062 233.666988 \nL 288.987061 233.50006 \nL 283.64844 233.113739 \nL 278.235636 232.505444 \nL 272.754021 231.673714 \nL 267.208932 230.618209 \nL 261.605739 229.339743 \nL 255.949916 227.840265 \nL 250.247112 226.122881 \nL 244.503192 224.191803 \nL 237.564926 221.599955 \nL 230.587721 218.719217 \nL 223.583845 215.562838 \nL 216.566613 212.146054 \nL 209.550512 208.485929 \nL 202.551312 204.601228 \nL 194.429884 199.81237 \nL 186.384538 194.780008 \nL 178.447688 189.54075 \nL 170.654461 184.132883 \nL 163.042639 178.595944 \nL 155.652447 172.970285 \nL 148.526326 167.296625 \nL 141.708532 161.615615 \nL 135.24475 155.967418 \nL 129.181542 150.391275 \nL 123.565807 144.925107 \nL 118.444049 139.605138 \nL 114.481651 135.187485 \nL 110.943214 130.922522 \nL 107.855046 126.828959 \nL 105.643359 123.561022 \nL 103.774717 120.433137 \nL 102.261202 117.453536 \nL 101.113711 114.629603 \nL 100.465695 112.48694 \nL 100.062273 110.451011 \nL 99.907007 108.524362 \nL 100.002836 106.709173 \nL 100.351981 105.007275 \nL 100.955983 103.420112 \nL 101.815625 101.948792 \nL 102.930961 100.594066 \nL 104.301282 99.356346 \nL 105.925149 98.235718 \nL 107.800324 97.23195 \nL 109.923834 96.344519 \nL 112.291929 95.572612 \nL 115.589112 94.768529 \nL 119.251094 94.14064 \nL 123.265793 93.685784 \nL 127.61952 93.400348 \nL 133.269851 93.275772 \nL 139.357107 93.381823 \nL 145.849328 93.710464 \nL 153.889349 94.364058 \nL 162.375236 95.295796 \nL 171.245314 96.492276 \nL 180.435348 97.940527 \nL 191.245265 99.888216 \nL 202.286645 102.1318 \nL 213.459012 104.656251 \nL 223.264086 107.0853 \nL 233.028177 109.712072 \nL 242.688199 112.530434 \nL 252.183723 115.535367 \nL 261.457486 118.722805 \nL 269.189206 121.597649 \nL 276.687192 124.602411 \nL 283.922456 127.735483 \nL 290.868514 130.995278 \nL 297.501551 134.380067 \nL 302.774653 137.294769 \nL 307.804947 140.293495 \nL 312.583058 143.374577 \nL 317.100983 146.536009 \nL 321.352105 149.775397 \nL 325.33114 153.089897 \nL 329.034155 156.476164 \nL 332.458487 159.930313 \nL 335.602794 163.44787 \nL 338.466905 167.023748 \nL 341.051837 170.652207 \nL 343.359713 174.326842 \nL 345.393715 178.040567 \nL 347.157976 181.785615 \nL 348.657528 185.553535 \nL 349.898226 189.335198 \nL 350.886614 193.120828 \nL 351.629921 196.900017 \nL 352.135927 200.661773 \nL 352.412823 204.39455 \nL 352.469205 208.08631 \nL 352.31396 211.724586 \nL 351.956149 215.296523 \nL 351.404966 218.788964 \nL 350.669597 222.18853 \nL 349.759207 225.481692 \nL 348.682833 228.654869 \nL 347.449301 231.694509 \nL 346.067206 234.587159 \nL 344.544812 237.319621 \nL 342.890015 239.878979 \nL 341.110343 242.252713 \nL 339.212812 244.428796 \nL 337.20401 246.395814 \nL 335.090033 248.142991 \nL 332.876401 249.660324 \nL 330.568124 250.9386 \nL 328.169714 251.969542 \nL 325.685125 252.745828 \nL 323.117793 253.261158 \nL 320.470646 253.510293 \nL 317.746177 253.4891 \nL 314.946364 253.194607 \nL 312.072792 252.624987 \nL 309.126645 251.779569 \nL 306.108779 250.658891 \nL 303.019761 249.264656 \nL 299.859916 247.599686 \nL 296.629373 245.667965 \nL 292.659396 243.005 \nL 288.587502 239.976011 \nL 284.413584 236.593831 \nL 279.415197 232.221319 \nL 274.278788 227.414663 \nL 268.241884 221.42751 \nL 262.031786 214.959561 \nL 254.848147 207.172515 \nL 245.808411 197.03008 \nL 234.815297 184.347422 \nL 220.10456 167.018404 \nL 201.877716 145.205312 \nL 186.803916 126.844856 \nL 176.616549 114.116178 \nL 168.679504 103.853828 \nL 162.775757 95.879814 \nL 158.052982 89.154449 \nL 154.376371 83.575367 \nL 151.166017 78.301046 \nL 148.812816 74.035254 \nL 146.849412 70.014554 \nL 145.524416 66.856938 \nL 144.4924 63.879018 \nL 143.76146 61.084222 \nL 143.338298 58.475431 \nL 143.224938 56.523945 \nL 143.313892 54.694022 \nL 143.606464 52.986417 \nL 144.10329 51.401719 \nL 144.804306 49.940311 \nL 145.708766 48.602416 \nL 146.815228 47.388084 \nL 148.12153 46.297183 \nL 149.624813 45.329446 \nL 151.321541 44.484484 \nL 153.207476 43.761766 \nL 155.823442 43.029302 \nL 158.716346 42.485383 \nL 161.873665 42.128365 \nL 165.281454 41.956422 \nL 168.924404 41.967637 \nL 173.582953 42.220002 \nL 178.525474 42.729629 \nL 183.719178 43.492965 \nL 189.129545 44.506507 \nL 194.720686 45.766902 \nL 200.455671 47.270987 \nL 206.296917 49.015823 \nL 212.206545 50.998704 \nL 218.146738 53.217198 \nL 224.080097 55.669088 \nL 229.969992 58.352358 \nL 235.780885 61.265139 \nL 241.478641 64.405638 \nL 246.116886 67.195361 \nL 250.636254 70.140874 \nL 255.020035 73.240979 \nL 259.252638 76.494358 \nL 263.319675 79.899474 \nL 267.208028 83.454551 \nL 270.905864 87.157518 \nL 274.402713 91.005927 \nL 277.68949 94.996916 \nL 280.758484 99.127162 \nL 283.60341 103.392801 \nL 286.219339 107.789403 \nL 288.602729 112.311906 \nL 290.75137 116.954576 \nL 292.664348 121.710969 \nL 294.341987 126.573893 \nL 295.785813 131.535379 \nL 296.998463 136.586657 \nL 297.983616 141.718145 \nL 298.745917 146.91943 \nL 299.290896 152.179278 \nL 299.624851 157.485631 \nL 299.754779 162.825629 \nL 299.688288 168.185634 \nL 299.360664 174.623749 \nL 298.776634 181.043744 \nL 297.951567 187.41811 \nL 296.901206 193.718178 \nL 295.641466 199.914284 \nL 294.188212 205.975997 \nL 292.557114 211.872343 \nL 290.763415 217.572046 \nL 288.821833 223.043798 \nL 286.746396 228.256578 \nL 284.550368 233.179891 \nL 282.246123 237.784106 \nL 279.845113 242.040775 \nL 277.777931 245.30297 \nL 275.656371 248.290345 \nL 273.485463 250.989146 \nL 271.269775 253.386705 \nL 269.013397 255.47155 \nL 266.719976 257.233445 \nL 264.860731 258.404436 \nL 262.981286 259.359164 \nL 261.082937 260.094334 \nL 259.16684 260.607298 \nL 257.234021 260.896039 \nL 255.285376 260.959178 \nL 253.321705 260.795993 \nL 251.343709 260.406434 \nL 249.352019 259.791092 \nL 247.347199 258.951219 \nL 245.329776 257.888708 \nL 243.300243 256.60609 \nL 240.747032 254.698161 \nL 238.176616 252.458764 \nL 235.590016 249.896767 \nL 232.988365 247.022413 \nL 229.848352 243.177068 \nL 226.691182 238.920423 \nL 223.520045 234.27662 \nL 219.807895 228.404231 \nL 216.089386 222.084234 \nL 211.84344 214.372683 \nL 207.617059 206.208684 \nL 203.429478 197.665681 \nL 198.79292 187.693946 \nL 194.270837 177.440837 \nL 189.905033 167.008528 \nL 185.741804 156.495238 \nL 181.831243 145.993999 \nL 178.610062 136.740028 \nL 175.668688 127.620677 \nL 173.354935 119.792463 \nL 171.310659 112.138639 \nL 169.560762 104.687932 \nL 168.31313 98.48294 \nL 167.313136 92.460802 \nL 166.573582 86.634581 \nL 166.105924 81.015852 \nL 165.931104 76.499446 \nL 165.956827 72.139353 \nL 166.186977 67.940061 \nL 166.624467 63.905474 \nL 167.271157 60.038919 \nL 168.127803 56.343195 \nL 169.194045 52.8206 \nL 170.46833 49.472962 \nL 171.94792 46.301699 \nL 173.628851 43.307832 \nL 175.505944 40.492067 \nL 177.572825 37.854795 \nL 179.821907 35.39618 \nL 182.244453 33.116133 \nL 184.830595 31.014412 \nL 187.569386 29.090669 \nL 190.448867 27.344413 \nL 193.456128 25.775131 \nL 196.577381 24.382265 \nL 199.798053 23.165261 \nL 203.102874 22.123619 \nL 207.157363 21.104481 \nL 211.281824 20.336546 \nL 215.447179 19.819407 \nL 219.623883 19.552864 \nL 223.782218 19.536975 \nL 227.892583 19.772057 \nL 231.925781 20.258631 \nL 235.207249 20.856799 \nL 238.399333 21.630735 \nL 241.486621 22.581064 \nL 244.454381 23.708466 \nL 247.288656 25.013663 \nL 249.976351 26.497385 \nL 252.505313 28.160313 \nL 254.864412 30.00307 \nL 257.043601 32.026228 \nL 259.033959 34.230187 \nL 260.827754 36.615186 \nL 262.418455 39.181275 \nL 263.800773 41.928256 \nL 264.970661 44.855639 \nL 265.925319 47.962643 \nL 266.663193 51.248105 \nL 267.183918 54.710467 \nL 267.488334 58.347776 \nL 267.578408 62.157575 \nL 267.457226 66.136934 \nL 267.128874 70.282392 \nL 266.468601 75.470472 \nL 265.527816 80.883829 \nL 264.318612 86.513101 \nL 262.85456 92.347603 \nL 260.844172 99.397727 \nL 258.532242 106.689076 \nL 255.554863 115.286107 \nL 252.259226 124.125705 \nL 248.222839 134.303582 \nL 243.398173 145.817838 \nL 238.290506 157.443623 \nL 232.431394 170.219717 \nL 226.4043 182.818869 \nL 220.843193 193.968828 \nL 215.253762 204.685971 \nL 210.231675 213.84513 \nL 205.793689 221.514407 \nL 201.393535 228.666665 \nL 197.582181 234.448214 \nL 193.812286 239.740531 \nL 190.616817 243.857566 \nL 187.456354 247.563584 \nL 184.850367 250.3231 \nL 182.270279 252.772284 \nL 179.716641 254.901772 \nL 177.189975 256.703521 \nL 174.690818 258.170882 \nL 172.711709 259.100466 \nL 170.750961 259.810708 \nL 168.80902 260.300254 \nL 166.886402 260.568382 \nL 164.983713 260.615027 \nL 163.101689 260.440735 \nL 161.241197 260.046702 \nL 159.403214 259.434747 \nL 157.588892 258.607333 \nL 155.799553 257.567501 \nL 154.036671 256.31891 \nL 151.87283 254.471081 \nL 149.756613 252.313136 \nL 147.692179 249.855801 \nL 145.684174 247.110986 \nL 143.737746 244.09166 \nL 141.85855 240.811767 \nL 139.70094 236.552906 \nL 137.660569 231.967286 \nL 135.749905 227.083238 \nL 133.982346 221.930064 \nL 132.372045 216.537751 \nL 130.933843 210.936662 \nL 129.683124 205.15728 \nL 128.635649 199.229917 \nL 127.807363 193.184448 \nL 127.21428 187.050093 \nL 126.872165 180.855193 \nL 126.789907 175.666246 \nL 126.901169 170.469352 \nL 127.214142 165.278993 \nL 127.736479 160.108948 \nL 128.475257 154.972253 \nL 129.436817 149.881175 \nL 130.626757 144.847188 \nL 132.049781 139.880958 \nL 133.709603 134.99235 \nL 135.60892 130.19042 \nL 137.749274 125.483431 \nL 140.131025 120.878886 \nL 142.753264 116.383529 \nL 145.613787 112.003408 \nL 148.709032 107.743888 \nL 152.034046 103.609707 \nL 155.582457 99.605029 \nL 159.346489 95.733489 \nL 163.316946 91.998235 \nL 167.483205 88.402008 \nL 171.833291 84.94718 \nL 176.353859 81.635826 \nL 181.030278 78.469743 \nL 185.846677 75.450574 \nL 190.786017 72.579789 \nL 196.849929 69.332703 \nL 203.031568 66.303606 \nL 209.29597 63.494856 \nL 215.606666 60.908868 \nL 221.925993 58.548241 \nL 228.215417 56.415781 \nL 234.435889 54.514542 \nL 240.548196 52.847853 \nL 246.513342 51.419301 \nL 252.292902 50.232712 \nL 257.849423 49.292112 \nL 263.146757 48.601677 \nL 268.150452 48.16564 \nL 272.828055 47.988235 \nL 277.14949 48.073588 \nL 280.458713 48.34825 \nL 283.487117 48.810203 \nL 286.221844 49.461357 \nL 288.651616 50.303372 \nL 290.369342 51.115361 \nL 291.881551 52.050955 \nL 293.184814 53.110586 \nL 294.276415 54.294511 \nL 295.154375 55.602803 \nL 295.817433 57.035374 \nL 296.26506 58.59193 \nL 296.497451 60.272 \nL 296.515505 62.074887 \nL 296.320813 63.999668 \nL 295.915657 66.045215 \nL 295.11776 68.769865 \nL 294.002721 71.677881 \nL 292.579073 74.76551 \nL 290.477353 78.701579 \nL 287.96497 82.881395 \nL 285.063609 87.295127 \nL 281.218721 92.725349 \nL 276.267598 99.277584 \nL 270.78362 106.167869 \nL 264.059753 114.278516 \nL 255.179597 124.62802 \nL 243.968837 137.331822 \nL 229.487082 153.381447 \nL 213.74686 170.501006 \nL 199.90938 185.254258 \nL 188.151622 197.474746 \nL 178.4644 207.218424 \nL 170.75502 214.679524 \nL 164.083227 220.862116 \nL 157.591973 226.571851 \nL 152.065493 231.145327 \nL 146.685251 235.296388 \nL 142.191442 238.500184 \nL 137.807225 241.363141 \nL 133.533171 243.874119 \nL 129.369818 246.024012 \nL 125.985378 247.534638 \nL 122.678798 248.786715 \nL 119.450754 249.778425 \nL 116.30222 250.509071 \nL 113.234442 250.979052 \nL 110.249027 251.189844 \nL 107.347909 251.144038 \nL 104.533488 250.84532 \nL 101.808575 250.298412 \nL 99.176479 249.509027 \nL 96.640985 248.483854 \nL 94.206404 247.230515 \nL 91.877525 245.757493 \nL 89.659654 244.07407 \nL 87.558605 242.190213 \nL 85.58071 240.116584 \nL 83.732722 237.86437 \nL 82.021861 235.44527 \nL 80.455728 232.871385 \nL 79.042313 230.155111 \nL 77.789934 227.309055 \nL 76.707155 224.345981 \nL 75.802747 221.278682 \nL 75.085644 218.119916 \nL 74.564829 214.88231 \nL 74.249298 211.578302 \nL 74.147972 208.220046 \nL 74.269604 204.819346 \nL 74.622712 201.387596 \nL 75.215488 197.935727 \nL 76.055735 194.474142 \nL 77.150723 191.012686 \nL 78.507154 187.560598 \nL 80.131075 184.126481 \nL 82.027802 180.718296 \nL 84.201774 177.343325 \nL 86.656597 174.008188 \nL 89.394871 170.718835 \nL 92.418169 167.48055 \nL 95.72699 164.297978 \nL 99.320667 161.175144 \nL 103.197362 158.11549 \nL 107.353997 155.121903 \nL 111.786229 152.196769 \nL 116.488456 149.342015 \nL 121.453754 146.559162 \nL 127.747736 143.316284 \nL 134.391941 140.180116 \nL 141.367009 137.151707 \nL 148.650933 134.231826 \nL 156.219137 131.421103 \nL 165.371792 128.280788 \nL 174.827467 125.291325 \nL 184.535126 122.454691 \nL 194.440037 119.77374 \nL 205.926914 116.905553 \nL 217.504535 114.253845 \nL 229.078107 111.828934 \nL 240.550178 109.643612 \nL 251.821849 107.713103 \nL 262.794072 106.054852 \nL 273.368958 104.688223 \nL 282.221019 103.747984 \nL 290.634426 103.061479 \nL 298.550797 102.643456 \nL 304.899126 102.509878 \nL 310.810192 102.593093 \nL 316.254806 102.901478 \nL 320.4166 103.336016 \nL 324.22259 103.936247 \nL 327.660833 104.705659 \nL 330.721064 105.647185 \nL 332.891295 106.525895 \nL 334.810547 107.517099 \nL 336.475998 108.621357 \nL 337.885576 109.838897 \nL 339.03796 111.169632 \nL 339.932558 112.613114 \nL 340.569508 114.168542 \nL 340.949676 115.834737 \nL 341.074658 117.61015 \nL 340.946716 119.492848 \nL 340.5688 121.480519 \nL 339.944471 123.570455 \nL 339.077937 125.759568 \nL 337.661488 128.630107 \nL 335.884585 131.642564 \nL 333.758971 134.788446 \nL 331.297467 138.058402 \nL 327.919739 142.131744 \nL 324.103591 146.350003 \nL 319.875755 150.692646 \nL 315.263998 155.137804 \nL 309.436373 160.4226 \nL 303.170809 165.777267 \nL 296.513169 171.162106 \nL 289.508774 176.53642 \nL 282.201829 181.858973 \nL 274.635009 187.088444 \nL 266.849043 192.183914 \nL 258.882451 197.105334 \nL 251.937606 201.155764 \nL 244.907867 205.026507 \nL 237.813102 208.695402 \nL 230.671812 212.141671 \nL 223.501176 215.34611 \nL 216.317124 218.291257 \nL 209.134428 220.961543 \nL 203.159824 222.967012 \nL 197.203178 224.765532 \nL 191.271572 226.351512 \nL 185.371773 227.720503 \nL 179.510297 228.869223 \nL 173.693467 229.795544 \nL 167.927487 230.498539 \nL 162.218507 230.978464 \nL 156.572684 231.236756 \nL 150.996259 231.276021 \nL 145.49557 231.10001 \nL 140.077165 230.713598 \nL 134.747808 230.122711 \nL 129.514535 229.334314 \nL 124.384701 228.356325 \nL 119.366002 227.197611 \nL 114.466483 225.86781 \nL 109.694556 224.377372 \nL 104.149113 222.392511 \nL 98.816057 220.212705 \nL 93.712067 217.859292 \nL 88.854522 215.354386 \nL 84.261443 212.720667 \nL 79.951307 209.981103 \nL 75.943003 207.158743 \nL 72.255632 204.276457 \nL 68.908357 201.356728 \nL 65.920193 198.421401 \nL 63.717892 195.978568 \nL 61.788504 193.551141 \nL 60.142227 191.150175 \nL 58.788819 188.786084 \nL 57.737528 186.468582 \nL 56.996969 184.206625 \nL 56.633619 182.442561 \nL 56.47793 180.723073 \nL 56.533286 179.051595 \nL 56.802699 177.4312 \nL 57.288791 175.864592 \nL 57.99376 174.354101 \nL 58.919424 172.901677 \nL 60.067115 171.508903 \nL 61.437753 170.176988 \nL 63.03176 168.906774 \nL 64.849094 167.698745 \nL 67.433973 166.276329 \nL 70.364856 164.95079 \nL 73.638457 163.720866 \nL 77.250273 162.584569 \nL 82.022855 161.3408 \nL 87.26227 160.222211 \nL 92.954121 159.221928 \nL 100.14416 158.194003 \nL 107.897168 157.30283 \nL 117.403455 156.433105 \nL 128.853691 155.61747 \nL 142.410711 154.876107 \nL 159.658051 154.159662 \nL 183.909085 153.399304 \nL 218.52745 152.555926 \nL 256.1482 151.845163 \nL 280.080321 151.593448 \nL 296.973364 151.616045 \nL 310.156108 151.833624 \nL 321.205782 152.22633 \nL 330.304059 152.762106 \nL 337.659363 153.395297 \nL 344.413456 154.198283 \nL 349.701261 155.032552 \nL 354.508799 156.010042 \nL 358.822137 157.137578 \nL 362.030795 158.195828 \nL 364.883131 159.364538 \nL 367.375214 160.645344 \nL 369.107701 161.751272 \nL 370.6072 162.929497 \nL 371.873468 164.179669 \nL 372.906821 165.501059 \nL 373.708063 166.892554 \nL 374.278516 168.352652 \nL 374.619965 169.879452 \nL 374.734673 171.470659 \nL 374.625345 173.123587 \nL 374.295153 174.835159 \nL 373.747638 176.601906 \nL 372.986742 178.419998 \nL 371.742101 180.758378 \nL 370.179868 183.161409 \nL 368.309831 185.619301 \nL 366.142433 188.121511 \nL 363.688614 190.656789 \nL 360.382024 193.72601 \nL 356.699684 196.804167 \nL 352.662354 199.868752 \nL 348.290996 202.896533 \nL 343.606633 205.863769 \nL 338.630162 208.74645 \nL 333.38208 211.520539 \nL 327.882458 214.162231 \nL 322.150747 216.64819 \nL 316.205697 218.955797 \nL 310.065268 221.063382 \nL 304.81142 222.652102 \nL 299.443313 224.076574 \nL 293.970043 225.32646 \nL 288.400325 226.392279 \nL 282.742521 227.265465 \nL 277.004631 227.938418 \nL 271.194373 228.404605 \nL 265.319219 228.658605 \nL 259.386436 228.69611 \nL 253.403138 228.51399 \nL 247.376344 228.110369 \nL 241.313053 227.484525 \nL 235.22029 226.637015 \nL 229.105189 225.569606 \nL 222.975042 224.285279 \nL 216.837376 222.788229 \nL 210.700007 221.08382 \nL 204.571105 219.178559 \nL 198.459251 217.08003 \nL 191.160294 214.31892 \nL 183.915509 211.308783 \nL 176.742623 208.068284 \nL 169.660555 204.61776 \nL 162.689483 200.979082 \nL 155.850818 197.175396 \nL 149.167229 193.230923 \nL 141.597566 188.484574 \nL 134.311185 183.621563 \nL 127.349557 178.683347 \nL 120.75554 173.711493 \nL 114.572978 168.747186 \nL 108.846118 163.830724 \nL 104.333552 159.684258 \nL 100.215593 155.625073 \nL 96.518899 151.675486 \nL 93.26907 147.856469 \nL 90.919791 144.787786 \nL 88.91084 141.833711 \nL 87.254458 139.00379 \nL 85.961755 136.30667 \nL 85.196187 134.249817 \nL 84.674294 132.286438 \nL 84.400008 130.419651 \nL 84.376701 128.652173 \nL 84.607099 126.986325 \nL 85.093307 125.424014 \nL 85.836752 123.966754 \nL 86.838172 122.61566 \nL 88.097611 121.37146 \nL 89.614435 120.23451 \nL 91.387268 119.204793 \nL 93.414041 118.281937 \nL 95.69195 117.465241 \nL 98.887131 116.592059 \nL 102.460883 115.880468 \nL 106.40324 115.327148 \nL 110.702615 114.928168 \nL 116.314555 114.646819 \nL 122.396256 114.572752 \nL 128.919538 114.696693 \nL 137.047032 115.078465 \nL 145.681035 115.700291 \nL 156.09647 116.683982 \nL 167.011415 117.935951 \nL 179.772819 119.636638 \nL 192.914538 121.617904 \nL 206.299822 123.853351 \nL 219.792349 126.320835 \nL 233.258251 129.002867 \nL 246.567977 131.886687 \nL 258.167705 134.612747 \nL 269.464512 137.488671 \nL 280.382032 140.513607 \nL 289.568348 143.283295 \nL 298.367504 146.169006 \nL 306.74075 149.172393 \nL 313.552651 151.84165 \nL 320.007248 154.599445 \nL 326.087987 157.446289 \nL 331.780779 160.382186 \nL 336.22004 162.896344 \nL 340.376464 165.4711 \nL 344.245897 168.10521 \nL 347.825326 170.796936 \nL 351.112911 173.544 \nL 354.107934 176.34355 \nL 356.810734 179.192119 \nL 359.222684 182.08561 \nL 361.346153 185.019264 \nL 363.184427 187.987657 \nL 364.74166 190.98469 \nL 366.022778 194.003602 \nL 367.033459 197.036961 \nL 367.780021 200.076701 \nL 368.269379 203.114144 \nL 368.508931 206.140021 \nL 368.50649 209.144525 \nL 368.270246 212.117357 \nL 367.808624 215.047769 \nL 367.130218 217.924639 \nL 366.243759 220.736511 \nL 365.158009 223.471696 \nL 363.881679 226.118315 \nL 362.423393 228.664416 \nL 360.791566 231.09801 \nL 358.994442 233.407169 \nL 357.039949 235.580123 \nL 354.93575 237.605332 \nL 352.689076 239.471548 \nL 350.306796 241.167963 \nL 347.795338 242.684226 \nL 345.160705 244.010532 \nL 342.408427 245.137718 \nL 339.543565 246.057308 \nL 336.570696 246.761597 \nL 333.493965 247.243698 \nL 330.317071 247.497606 \nL 327.043269 247.518235 \nL 323.675382 247.301449 \nL 320.215883 246.844136 \nL 316.666875 246.144146 \nL 313.030209 245.200384 \nL 309.30748 244.012807 \nL 305.500036 242.582378 \nL 301.60912 240.911116 \nL 296.831433 238.592036 \nL 291.937108 235.93768 \nL 286.928177 232.957137 \nL 281.806937 229.661405 \nL 275.693879 225.435173 \nL 269.437088 220.820564 \nL 263.043439 215.843547 \nL 255.580073 209.748383 \nL 247.00441 202.427391 \nL 238.267821 194.68276 \nL 228.417793 185.670661 \nL 216.487774 174.434276 \nL 203.578989 161.945788 \nL 190.890831 149.358878 \nL 179.585441 137.852547 \nL 169.752923 127.552815 \nL 161.407434 118.504774 \nL 154.49592 110.69392 \nL 148.912461 104.065164 \nL 144.515221 98.538927 \nL 140.619469 93.292706 \nL 137.710561 89.034738 \nL 135.224149 85.009713 \nL 133.490636 81.841115 \nL 132.076936 78.846991 \nL 130.993025 76.032098 \nL 130.247451 73.400545 \nL 129.899369 71.429651 \nL 129.775212 69.579788 \nL 129.877145 67.852177 \nL 130.206629 66.247797 \nL 130.764418 64.767379 \nL 131.550498 63.411404 \nL 132.564132 62.180138 \nL 133.8038 61.073638 \nL 135.267254 60.091723 \nL 136.951478 59.234044 \nL 138.852713 58.500053 \nL 140.966467 57.889043 \nL 143.899518 57.296894 \nL 147.144727 56.893573 \nL 150.688761 56.676804 \nL 154.516722 56.644072 \nL 159.461952 56.843898 \nL 164.761681 57.299916 \nL 170.382674 58.006987 \nL 176.289542 58.959955 \nL 182.445105 60.153675 \nL 189.889339 61.843964 \nL 197.556374 63.847515 \nL 205.381976 66.157181 \nL 212.166887 68.37555 \nL 218.980439 70.810182 \nL 225.782843 73.457582 \nL 232.535278 76.314529 \nL 239.200216 79.378018 \nL 245.741739 82.645193 \nL 252.125803 86.113249 \nL 257.302489 89.154698 \nL 262.33041 92.331963 \nL 267.193558 95.643193 \nL 271.877223 99.086349 \nL 276.368025 102.659154 \nL 280.653955 106.359041 \nL 284.724443 110.183085 \nL 288.570331 114.127945 \nL 292.183917 118.189814 \nL 295.558939 122.364356 \nL 298.690551 126.64668 \nL 301.575322 131.031258 \nL 304.211165 135.511914 \nL 306.597334 140.081762 \nL 308.734322 144.733195 \nL 310.62385 149.457851 \nL 312.268711 154.246601 \nL 313.672792 159.089538 \nL 314.840947 163.975977 \nL 315.778894 168.894465 \nL 316.493133 173.832798 \nL 316.990831 178.778043 \nL 317.279799 183.716577 \nL 317.368303 188.634129 \nL 317.265 193.515832 \nL 316.900508 199.304847 \nL 316.288673 204.992576 \nL 315.445531 210.550785 \nL 314.387179 215.950707 \nL 313.129516 221.163254 \nL 311.688047 226.159306 \nL 310.077741 230.909955 \nL 308.312909 235.38678 \nL 306.406996 239.562172 \nL 304.372593 243.409567 \nL 302.587513 246.346945 \nL 300.727444 249.025266 \nL 298.79805 251.431716 \nL 296.804452 253.554406 \nL 294.75126 255.382611 \nL 292.642547 256.90671 \nL 290.91803 257.901392 \nL 289.161887 258.692437 \nL 287.375518 259.276742 \nL 285.56015 259.651765 \nL 283.716829 259.815572 \nL 281.846427 259.766828 \nL 279.949668 259.504792 \nL 278.027145 259.029341 \nL 276.079311 258.340957 \nL 274.106494 257.440725 \nL 271.605728 256.020142 \nL 269.066623 254.275804 \nL 266.48934 252.213655 \nL 263.873945 249.841033 \nL 261.220466 247.166488 \nL 257.98608 243.572395 \nL 254.697131 239.576749 \nL 250.79177 234.435969 \nL 246.814408 228.814302 \nL 242.184119 221.851788 \nL 236.874515 213.409002 \nL 230.865635 203.381468 \nL 224.152788 191.719167 \nL 216.143098 177.320756 \nL 207.537868 161.385179 \nL 199.11453 145.341152 \nL 191.628755 130.624721 \nL 185.684178 118.484158 \nL 180.694775 107.806026 \nL 176.619744 98.55797 \nL 173.383353 90.669699 \nL 170.886397 84.050535 \nL 168.732101 77.715497 \nL 167.178615 72.524188 \nL 165.911951 67.562888 \nL 164.945946 62.83946 \nL 164.37933 59.089877 \nL 164.035804 55.513499 \nL 163.920192 52.113131 \nL 164.036248 48.891123 \nL 164.386523 45.849375 \nL 164.972339 42.989348 \nL 165.79375 40.312147 \nL 166.619694 38.302519 \nL 167.594388 36.410603 \nL 168.716034 34.636505 \nL 169.98227 32.980226 \nL 171.390205 31.441666 \nL 172.936408 30.020635 \nL 175.057506 28.409224 \nL 177.379543 26.980406 \nL 179.892423 25.733409 \nL 182.584882 24.667387 \nL 185.444568 23.781442 \nL 188.4581 23.074645 \nL 191.611174 22.546083 \nL 194.888638 22.194885 \nL 198.963376 22.006414 \nL 203.165684 22.070873 \nL 207.465895 22.38719 \nL 211.8336 22.95451 \nL 216.237954 23.772227 \nL 220.647976 24.840002 \nL 225.032856 26.157708 \nL 229.362252 27.725446 \nL 232.906327 29.22309 \nL 236.374734 30.894792 \nL 239.751505 32.74082 \nL 243.021385 34.761455 \nL 246.169917 36.956954 \nL 249.183536 39.327501 \nL 252.049648 41.87322 \nL 254.756702 44.594068 \nL 257.294234 47.489823 \nL 259.652926 50.560053 \nL 261.824642 53.804051 \nL 263.802458 57.220781 \nL 265.580662 60.808863 \nL 267.154802 64.566506 \nL 268.521635 68.49146 \nL 269.679119 72.58096 \nL 270.626404 76.831718 \nL 271.363797 81.239851 \nL 271.892703 85.800859 \nL 272.215575 90.509582 \nL 272.335848 95.360164 \nL 272.257899 100.346031 \nL 271.986942 105.459864 \nL 271.415496 111.753933 \nL 270.586396 118.205113 \nL 269.51248 124.79629 \nL 268.207589 131.508684 \nL 266.412801 139.465671 \nL 264.347643 147.524543 \nL 262.036802 155.647173 \nL 259.50511 163.792689 \nL 256.372803 173.074106 \nL 253.019728 182.260329 \nL 249.479837 191.279864 \nL 245.784913 200.058828 \nL 241.964159 208.521857 \nL 238.538586 215.608241 \nL 235.052713 222.34429 \nL 231.520562 228.680595 \nL 228.465531 233.75728 \nL 225.392303 238.476401 \nL 222.306779 242.810694 \nL 219.214075 246.73476 \nL 216.634541 249.674561 \nL 214.05532 252.301017 \nL 211.478381 254.603137 \nL 208.905478 256.571258 \nL 206.851134 257.89969 \nL 204.801151 259.005517 \nL 202.75625 259.885842 \nL 200.717137 260.53839 \nL 198.684517 260.96156 \nL 196.659111 261.154413 \nL 194.641668 261.116701 \nL 192.632992 260.848822 \nL 190.633943 260.351871 \nL 188.645459 259.627592 \nL 186.668573 258.678383 \nL 184.704421 257.507326 \nL 182.754267 256.118096 \nL 180.33839 254.081332 \nL 177.949607 251.720074 \nL 175.591333 249.045347 \nL 173.267403 246.069394 \nL 170.982079 242.805647 \nL 168.297322 238.529728 \nL 165.683989 233.887053 \nL 163.152072 228.90603 \nL 160.712512 223.616423 \nL 158.37718 218.049016 \nL 156.158834 212.235313 \nL 154.07104 206.20724 \nL 152.128079 199.996839 \nL 150.344818 193.636021 \nL 148.73661 187.156255 \nL 147.319093 180.588367 \nL 146.10805 173.962297 \nL 145.119192 167.306907 \nL 144.367968 160.649809 \nL 143.869361 154.017216 \nL 143.657132 148.526643 \nL 143.638016 143.08371 \nL 143.819216 137.701057 \nL 144.207311 132.390491 \nL 144.808143 127.162993 \nL 145.626725 122.028697 \nL 146.667171 116.996912 \nL 147.932582 112.07611 \nL 149.42502 107.273965 \nL 151.145394 102.59738 \nL 153.093439 98.052498 \nL 155.267645 93.644751 \nL 157.665188 89.378897 \nL 160.281946 85.259073 \nL 163.112455 81.28882 \nL 166.149891 77.471176 \nL 169.386084 73.808689 \nL 172.811526 70.303453 \nL 176.415385 66.957225 \nL 180.185566 63.771451 \nL 184.108732 60.74731 \nL 188.170392 57.885764 \nL 192.354941 55.187619 \nL 196.645757 52.653572 \nL 201.910248 49.830212 \nL 207.270585 47.245096 \nL 212.693454 44.899312 \nL 218.144396 42.794038 \nL 223.588118 40.930611 \nL 228.988821 39.310583 \nL 234.310548 37.93574 \nL 239.51752 36.808106 \nL 244.574491 35.929931 \nL 249.447093 35.30368 \nL 254.102182 34.931969 \nL 258.508161 34.817562 \nL 262.635292 34.963265 \nL 265.841598 35.285384 \nL 268.820375 35.791633 \nL 271.558215 36.483504 \nL 274.043057 37.362351 \nL 275.841566 38.200871 \nL 277.466565 39.160373 \nL 278.913926 40.241296 \nL 280.180151 41.443981 \nL 281.262407 42.768653 \nL 282.158522 44.215401 \nL 282.866974 45.784202 \nL 283.386912 47.474865 \nL 283.718134 49.287057 \nL 283.861085 51.220263 \nL 283.816839 53.273804 \nL 283.500938 56.008624 \nL 282.899869 58.928004 \nL 282.019662 62.029363 \nL 280.867653 65.309629 \nL 279.138622 69.476986 \nL 277.047541 73.889568 \nL 274.61343 78.539008 \nL 271.367941 84.250113 \nL 267.167619 91.134238 \nL 261.883698 99.299678 \nL 255.417487 108.840235 \nL 246.990502 120.840145 \nL 235.718885 136.480522 \nL 218.405957 160.083949 \nL 201.005525 183.471131 \nL 189.454779 198.66649 \nL 180.515618 210.070079 \nL 173.309187 218.902441 \nL 167.027276 226.230597 \nL 161.61127 232.185665 \nL 157.003689 236.923629 \nL 152.519049 241.188318 \nL 148.77258 244.446295 \nL 145.115582 247.32138 \nL 142.136049 249.415389 \nL 139.218019 251.228204 \nL 136.361365 252.75466 \nL 133.566129 253.990841 \nL 130.832591 254.934014 \nL 128.161317 255.582736 \nL 126.069717 255.889539 \nL 124.019173 256.00823 \nL 122.010476 255.939828 \nL 120.044599 255.685845 \nL 118.122725 255.248339 \nL 116.246208 254.629825 \nL 114.416623 253.833317 \nL 112.198414 252.59277 \nL 110.060338 251.087416 \nL 108.006929 249.326127 \nL 106.043261 247.31874 \nL 104.174936 245.075974 \nL 102.408096 242.60939 \nL 100.74942 239.931268 \nL 99.206044 237.054506 \nL 97.7856 233.992569 \nL 96.496099 230.759338 \nL 95.345966 227.369048 \nL 94.343943 223.836143 \nL 93.498993 220.17525 \nL 92.820334 216.400997 \nL 92.317266 212.527971 \nL 91.999188 208.570622 \nL 91.875442 204.543149 \nL 91.955247 200.45946 \nL 92.247661 196.333058 \nL 92.761405 192.176999 \nL 93.504839 188.003827 \nL 94.485827 183.825513 \nL 95.711674 179.653414 \nL 97.189007 175.49824 \nL 98.923683 171.370025 \nL 100.920752 167.278104 \nL 103.184276 163.231105 \nL 105.717339 159.236945 \nL 108.521909 155.302837 \nL 111.598809 151.435304 \nL 114.947617 147.640197 \nL 118.566652 143.922728 \nL 122.452913 140.287501 \nL 126.602001 136.738556 \nL 131.008151 133.279416 \nL 135.66417 129.913133 \nL 140.561454 126.642344 \nL 145.689967 123.469332 \nL 151.03826 120.396076 \nL 156.593496 117.424332 \nL 163.512854 113.994437 \nL 170.682662 110.715487 \nL 178.073294 107.589901 \nL 185.652676 104.620136 \nL 193.386492 101.808825 \nL 202.555863 98.733125 \nL 211.82513 95.882338 \nL 221.130811 93.262581 \nL 230.407349 90.880944 \nL 239.587788 88.745491 \nL 248.604524 86.865308 \nL 257.390053 85.250382 \nL 265.877774 83.911482 \nL 274.002763 82.860028 \nL 281.702598 82.107774 \nL 287.919127 81.71013 \nL 293.744829 81.548423 \nL 299.147273 81.629758 \nL 303.304516 81.888033 \nL 307.131668 82.323314 \nL 310.614802 82.938806 \nL 313.741636 83.73734 \nL 315.979442 84.509525 \nL 317.977886 85.401297 \nL 319.733184 86.41337 \nL 321.242302 87.546213 \nL 322.502967 88.800009 \nL 323.513689 90.174658 \nL 324.27375 91.669769 \nL 324.783213 93.284641 \nL 325.04288 95.018258 \nL 325.054285 96.869267 \nL 324.819722 98.83599 \nL 324.342129 100.916414 \nL 323.625163 103.108186 \nL 322.673116 105.408617 \nL 321.159949 108.432289 \nL 319.297924 111.614311 \nL 317.099112 114.947223 \nL 314.034663 119.134233 \nL 310.529067 123.510941 \nL 306.608845 128.06018 \nL 301.548442 133.56087 \nL 296.007718 139.239457 \nL 290.03387 145.062208 \nL 282.737426 151.847642 \nL 275.008243 158.719505 \nL 266.915424 165.620515 \nL 258.525459 172.492207 \nL 249.901329 179.275635 \nL 241.101853 185.912132 \nL 232.181194 192.34404 \nL 224.315052 197.760141 \nL 216.423753 202.940894 \nL 208.534231 207.852279 \nL 200.670629 212.462471 \nL 193.967403 216.152098 \nL 187.311204 219.582172 \nL 180.712993 222.737667 \nL 174.182711 225.605376 \nL 167.729422 228.174056 \nL 161.361464 230.434479 \nL 156.125638 232.077509 \nL 150.958772 233.498566 \nL 145.865046 234.695764 \nL 140.848562 235.668298 \nL 135.913432 236.416443 \nL 131.063846 236.941552 \nL 126.304122 237.246048 \nL 121.638722 237.33336 \nL 117.072365 237.207945 \nL 112.610018 236.87525 \nL 108.256946 236.341633 \nL 104.01873 235.614332 \nL 99.901341 234.7014 \nL 95.911091 233.611669 \nL 92.054681 232.354653 \nL 88.339193 230.940478 \nL 84.772068 229.379812 \nL 81.361139 227.683787 \nL 77.485713 225.486096 \nL 73.861626 223.130496 \nL 70.50414 220.637764 \nL 67.428931 218.028865 \nL 65.093392 215.781142 \nL 62.974364 213.479251 \nL 61.081188 211.134956 \nL 59.423221 208.75974 \nL 58.009668 206.364713 \nL 56.849557 203.960559 \nL 55.95165 201.557459 \nL 55.324351 199.165039 \nL 54.97563 196.792304 \nL 54.902305 194.913927 \nL 55.015681 193.057448 \nL 55.319077 191.226533 \nL 55.815538 189.424516 \nL 56.507791 187.654428 \nL 57.398277 185.918976 \nL 58.489058 184.220542 \nL 59.781857 182.561185 \nL 61.278048 180.942639 \nL 63.435721 178.978967 \nL 65.913629 177.083307 \nL 68.711772 175.256976 \nL 71.829051 173.500568 \nL 75.263329 171.813997 \nL 79.011416 170.196534 \nL 83.917235 168.34491 \nL 89.259223 166.58759 \nL 95.025689 164.920332 \nL 102.271053 163.082267 \nL 110.049387 161.35085 \nL 119.55338 159.490072 \nL 129.664637 157.740584 \nL 141.695769 155.886783 \nL 155.774581 153.945849 \nL 173.475567 151.750851 \nL 194.922804 149.341244 \nL 219.961377 146.771099 \nL 244.918685 144.432356 \nL 266.146728 142.651712 \nL 283.521634 141.402386 \nL 297.205982 140.616771 \nL 308.76637 140.153344 \nL 318.351849 139.967752 \nL 327.215394 140.023531 \nL 334.329201 140.290956 \nL 339.919758 140.695671 \nL 345.019963 141.27233 \nL 349.611351 142.029261 \nL 353.03748 142.802894 \nL 356.091813 143.709995 \nL 358.768282 144.753146 \nL 360.634229 145.686841 \nL 362.253668 146.709259 \nL 363.625531 147.820537 \nL 364.749334 149.020422 \nL 365.625223 150.308271 \nL 366.253917 151.683031 \nL 366.636727 153.143244 \nL 366.775546 154.687037 \nL 366.672782 156.312121 \nL 366.331407 158.015796 \nL 365.754877 159.794948 \nL 364.947134 161.646062 \nL 363.619052 164.055153 \nL 361.946138 166.562054 \nL 359.938826 169.157381 \nL 357.608393 171.830894 \nL 354.402293 175.126722 \nL 350.770119 178.498754 \nL 346.734798 181.925192 \nL 342.319943 185.383091 \nL 337.549666 188.848565 \nL 332.448255 192.297013 \nL 327.040013 195.703354 \nL 321.348976 199.042285 \nL 315.398768 202.288487 \nL 309.212422 205.416933 \nL 302.812215 208.4031 \nL 296.219614 211.223248 \nL 289.455167 213.854647 \nL 282.538479 216.275811 \nL 275.488172 218.466732 \nL 269.523642 220.10335 \nL 263.488386 221.557714 \nL 257.391744 222.821189 \nL 251.24269 223.886199 \nL 245.049864 224.746244 \nL 238.82163 225.395995 \nL 232.56611 225.83131 \nL 226.291265 226.049249 \nL 220.004947 226.048153 \nL 213.714957 225.827591 \nL 207.429117 225.38842 \nL 201.15533 224.732717 \nL 194.901642 223.863831 \nL 188.676311 222.786316 \nL 182.487856 221.505902 \nL 176.345115 220.029465 \nL 170.257285 218.364968 \nL 164.233979 216.521405 \nL 157.105374 214.086865 \nL 150.102448 211.427756 \nL 143.244483 208.564633 \nL 136.551766 205.519486 \nL 130.045618 202.315503 \nL 123.748322 198.976871 \nL 117.683005 195.52851 \nL 111.873603 191.9958 \nL 106.344681 188.404381 \nL 101.121227 184.779856 \nL 96.228493 181.147571 \nL 91.691764 177.532354 \nL 87.536112 173.958298 \nL 83.78608 170.448531 \nL 80.465526 167.025008 \nL 77.597187 163.708315 \nL 75.567857 161.039809 \nL 73.879024 158.468886 \nL 72.541366 156.00481 \nL 71.730621 154.11612 \nL 71.155285 152.305009 \nL 70.819311 150.574911 \nL 70.726167 148.928854 \nL 70.878769 147.369451 \nL 71.279464 145.898902 \nL 71.930059 144.518987 \nL 72.831729 143.231079 \nL 73.985022 142.036134 \nL 75.389918 140.93471 \nL 77.045729 139.92697 \nL 78.951134 139.012698 \nL 81.104199 138.191309 \nL 84.139791 137.293723 \nL 87.551861 136.537219 \nL 91.332504 135.918473 \nL 96.342514 135.352141 \nL 101.850835 134.970296 \nL 107.835903 134.763777 \nL 115.388627 134.730965 \nL 124.719797 134.946891 \nL 134.730177 135.407468 \nL 146.709711 136.184178 \nL 160.777239 137.323734 \nL 176.98092 138.857022 \nL 196.813703 140.971108 \nL 218.584786 143.532315 \nL 238.782449 146.121224 \nL 257.087021 148.669906 \nL 273.341164 151.140809 \nL 287.512423 153.509809 \nL 299.658305 155.755752 \nL 309.895574 157.855349 \nL 319.54754 160.06441 \nL 327.473053 162.096735 \nL 334.881948 164.230168 \nL 340.801566 166.144871 \nL 346.308661 168.143281 \nL 351.391573 170.228717 \nL 356.040854 172.403621 \nL 359.578752 174.285446 \nL 362.807514 176.230627 \nL 365.725185 178.238769 \nL 368.330908 180.308839 \nL 370.624853 182.439116 \nL 372.60815 184.627166 \nL 374.282881 186.869826 \nL 375.402519 188.700673 \nL 376.328511 190.561637 \nL 377.063139 192.450054 \nL 377.608984 194.362973 \nL 377.968942 196.297122 \nL 378.146162 198.24894 \nL 378.144069 200.214579 \nL 377.894813 202.684749 \nL 377.378639 205.161414 \nL 376.603494 207.635339 \nL 375.577699 210.096714 \nL 374.309899 212.535251 \nL 372.808867 214.940219 \nL 371.083589 217.300501 \nL 369.143048 219.604701 \nL 366.99623 221.841192 \nL 364.652088 223.99819 \nL 362.119384 226.063851 \nL 359.406764 228.026361 \nL 356.52258 229.873991 \nL 353.474938 231.595202 \nL 350.271629 233.178721 \nL 346.920073 234.613656 \nL 343.427351 235.889525 \nL 339.800167 236.996389 \nL 336.044797 237.92487 \nL 332.167162 238.666266 \nL 328.172769 239.212617 \nL 324.066754 239.556735 \nL 319.853906 239.692293 \nL 315.538686 239.613863 \nL 311.125258 239.316946 \nL 306.617523 238.798031 \nL 302.01917 238.054609 \nL 297.333712 237.085187 \nL 292.564571 235.889342 \nL 287.715091 234.467663 \nL 282.788633 232.821819 \nL 276.780115 230.554755 \nL 270.671893 227.975408 \nL 264.470601 225.092416 \nL 258.183492 221.91643 \nL 251.818581 218.459987 \nL 245.384828 214.737417 \nL 237.80523 210.079485 \nL 230.163703 205.109174 \nL 222.480844 199.857051 \nL 213.679907 193.551676 \nL 204.895108 186.972956 \nL 196.171138 180.175259 \nL 186.491678 172.336105 \nL 177.031068 164.372561 \nL 167.875333 156.366778 \nL 159.116893 148.400241 \nL 151.743784 141.416266 \nL 144.832063 134.580267 \nL 138.453128 127.943803 \nL 133.364412 122.338834 \nL 128.784314 116.954198 \nL 125.297131 112.535494 \nL 122.242883 108.31552 \nL 119.646292 104.309053 \nL 117.84846 101.143045 \nL 116.395956 98.141383 \nL 115.299277 95.310157 \nL 114.68424 93.171475 \nL 114.306672 91.147632 \nL 114.16982 89.240657 \nL 114.276272 87.452265 \nL 114.627869 85.783849 \nL 115.22574 84.236499 \nL 116.070267 82.810993 \nL 117.161048 81.507822 \nL 118.49691 80.327201 \nL 120.075929 79.269057 \nL 121.895377 78.333064 \nL 123.951756 77.518659 \nL 126.240817 76.825044 \nL 129.421681 76.126341 \nL 132.946911 75.612398 \nL 136.803416 75.2804 \nL 140.976483 75.127226 \nL 146.379038 75.174576 \nL 152.183187 75.468056 \nL 158.355448 76.00096 \nL 164.859999 76.766421 \nL 172.818022 77.944145 \nL 181.113831 79.418154 \nL 189.682234 81.178032 \nL 198.456567 83.213966 \nL 207.369509 85.516891 \nL 216.353883 88.078586 \nL 225.343424 90.891715 \nL 234.273518 93.949795 \nL 241.833289 96.761633 \nL 249.266097 99.746053 \nL 256.53633 102.900117 \nL 263.610509 106.221063 \nL 270.457477 109.706182 \nL 275.969011 112.733859 \nL 281.287707 115.871901 \nL 286.399772 119.118423 \nL 291.292802 122.471317 \nL 295.955803 125.928205 \nL 300.379214 129.486356 \nL 304.554923 133.142639 \nL 308.476261 136.893473 \nL 312.137968 140.734768 \nL 315.536202 144.661872 \nL 318.668501 148.669534 \nL 321.53368 152.751866 \nL 324.131887 156.902308 \nL 326.464424 161.113603 \nL 328.533773 165.37778 \nL 330.343507 169.686148 \nL 331.89814 174.029286 \nL 333.203126 178.397054 \nL 334.264744 182.778608 \nL 335.089959 187.162427 \nL 335.686393 191.536342 \nL 336.062185 195.887578 \nL 336.225949 200.2028 \nL 336.186607 204.468169 \nL 335.953333 208.669419 \nL 335.535462 212.791924 \nL 334.803623 217.613992 \nL 333.835742 222.275074 \nL 332.647842 226.74889 \nL 331.255504 231.009212 \nL 329.673726 235.030152 \nL 327.916843 238.786359 \nL 326.328798 241.696608 \nL 324.635832 244.392371 \nL 322.844807 246.860664 \nL 320.962022 249.089244 \nL 318.99327 251.066679 \nL 316.943804 252.782436 \nL 314.818306 254.226993 \nL 313.065989 255.181647 \nL 311.269573 255.953475 \nL 309.430697 256.539149 \nL 307.550819 256.935847 \nL 305.631202 257.14126 \nL 303.672883 257.153595 \nL 301.676732 256.971608 \nL 299.643444 256.594593 \nL 297.573561 256.022375 \nL 294.935324 255.033247 \nL 292.24097 253.741681 \nL 289.49071 252.150906 \nL 286.684502 250.265423 \nL 283.822182 248.09095 \nL 280.312908 245.109942 \nL 276.721794 241.736902 \nL 273.048306 237.98805 \nL 268.658011 233.16382 \nL 264.155239 227.884967 \nL 258.872949 221.340148 \nL 252.761371 213.391619 \nL 245.772699 203.931675 \nL 237.14161 191.871212 \nL 225.315784 174.936772 \nL 208.821615 150.902075 \nL 193.467882 128.159522 \nL 183.871062 113.580946 \nL 176.910853 102.640426 \nL 171.161936 93.180756 \nL 167.03643 85.992981 \nL 163.391328 79.175386 \nL 160.636708 73.534211 \nL 158.624333 68.951935 \nL 156.953364 64.612047 \nL 155.640302 60.521767 \nL 154.829869 57.308325 \nL 154.284954 54.275492 \nL 154.011281 51.425768 \nL 154.013258 48.761209 \nL 154.215376 46.763975 \nL 154.596728 44.886901 \nL 155.157572 43.130444 \nL 155.897544 41.494934 \nL 156.81565 39.980498 \nL 157.910263 38.587192 \nL 159.179115 37.31491 \nL 160.619315 36.163435 \nL 162.227354 35.132452 \nL 163.999088 34.221545 \nL 166.436682 33.251044 \nL 169.112078 32.466316 \nL 172.013386 31.866123 \nL 175.127412 31.449146 \nL 178.439758 31.214006 \nL 181.934921 31.159276 \nL 186.347112 31.3298 \nL 190.968506 31.755725 \nL 195.767332 32.434805 \nL 200.710569 33.364962 \nL 205.764284 34.54432 \nL 210.893964 35.971246 \nL 216.064853 37.644326 \nL 221.242296 39.562408 \nL 226.392066 41.724529 \nL 231.480688 44.129891 \nL 236.475748 46.777805 \nL 240.544372 49.169246 \nL 244.509307 51.728305 \nL 248.354309 54.454558 \nL 252.064121 57.347457 \nL 255.624539 60.406314 \nL 259.022488 63.630256 \nL 262.246076 67.018189 \nL 265.284665 70.568676 \nL 268.128883 74.279973 \nL 270.770677 78.149906 \nL 273.203297 82.175877 \nL 275.421332 86.354764 \nL 277.420669 90.682877 \nL 279.198518 95.155967 \nL 280.753336 99.769093 \nL 282.084806 104.516645 \nL 283.193794 109.392281 \nL 284.082309 114.388889 \nL 284.753379 119.498589 \nL 285.211037 124.712664 \nL 285.460198 130.021592 \nL 285.506628 135.414999 \nL 285.356811 140.881688 \nL 284.928047 147.521431 \nL 284.240313 154.226954 \nL 283.307857 160.97425 \nL 282.145616 167.737747 \nL 280.768985 174.490406 \nL 279.193608 181.203859 \nL 277.435161 187.848558 \nL 275.17298 195.473017 \nL 272.706862 202.912467 \nL 270.060011 210.116118 \nL 267.254442 217.032767 \nL 264.738983 222.694202 \nL 262.134117 228.075595 \nL 259.450993 233.146006 \nL 256.699824 237.875544 \nL 253.889872 242.235679 \nL 251.50936 245.567487 \nL 249.098136 248.609543 \nL 246.660104 251.348372 \nL 244.198752 253.771681 \nL 241.717202 255.868454 \nL 239.719294 257.304204 \nL 237.711518 258.520453 \nL 235.695038 259.513533 \nL 233.670912 260.280389 \nL 231.640122 260.81863 \nL 229.60357 261.126513 \nL 227.562105 261.202992 \nL 225.516536 261.047677 \nL 223.467647 260.660866 \nL 221.416214 260.043548 \nL 219.363019 259.197357 \nL 217.30887 258.124611 \nL 215.254613 256.82828 \nL 213.201149 255.311951 \nL 210.636925 253.113645 \nL 208.077555 250.587734 \nL 205.525383 247.745098 \nL 202.983039 244.597867 \nL 199.949394 240.437981 \nL 196.939994 235.883764 \nL 193.961465 230.962161 \nL 191.021312 225.701753 \nL 187.650917 219.176368 \nL 184.359236 212.279824 \nL 181.162993 205.062596 \nL 178.080609 197.575784 \nL 175.132108 189.870496 \nL 172.338954 181.997294 \nL 169.72385 174.005667 \nL 167.310499 165.943569 \nL 165.123261 157.857016 \nL 163.186811 149.789735 \nL 161.745263 142.921529 \nL 160.521276 136.122039 \nL 159.52958 129.413959 \nL 158.784202 122.818329 \nL 158.298253 116.354504 \nL 158.10013 111.081461 \nL 158.096705 105.921568 \nL 158.293443 100.883329 \nL 158.694989 95.974481 \nL 159.305064 91.201963 \nL 160.126437 86.57199 \nL 161.160821 82.090043 \nL 162.408844 77.760929 \nL 163.869958 73.588816 \nL 165.542459 69.577256 \nL 167.423389 65.729255 \nL 169.508567 62.047269 \nL 171.792549 58.533316 \nL 174.26862 55.188972 \nL 176.928846 52.015468 \nL 179.764048 49.013682 \nL 182.763873 46.184245 \nL 185.916807 43.527531 \nL 189.210248 41.043748 \nL 192.630567 38.73297 \nL 196.163184 36.595188 \nL 199.792652 34.630321 \nL 203.502738 32.838267 \nL 208.037413 30.915827 \nL 212.633529 29.242083 \nL 217.25991 27.817133 \nL 221.884773 26.641269 \nL 226.476039 25.714989 \nL 231.001644 25.039064 \nL 235.429848 24.614483 \nL 239.729558 24.442466 \nL 243.870626 24.524457 \nL 247.179447 24.787986 \nL 250.342085 25.230033 \nL 253.343464 25.851643 \nL 256.169454 26.65387 \nL 258.806967 27.637744 \nL 261.244037 28.80427 \nL 263.469888 30.154351 \nL 265.09206 31.367122 \nL 266.568664 32.698235 \nL 267.89599 34.147955 \nL 269.070883 35.716465 \nL 270.090765 37.40389 \nL 270.953615 39.210205 \nL 271.658008 41.135293 \nL 272.203071 43.178889 \nL 272.588503 45.34062 \nL 272.846273 48.208051 \nL 272.856795 51.257818 \nL 272.623067 54.488103 \nL 272.149337 57.896664 \nL 271.441018 61.480787 \nL 270.290605 66.008922 \nL 268.824973 70.778704 \nL 267.059158 75.782539 \nL 264.641991 81.90437 \nL 261.86788 88.316813 \nL 258.300078 95.97764 \nL 253.837544 104.982504 \nL 248.405017 115.408508 \nL 241.359877 128.396389 \nL 232.620302 144.00961 \nL 221.579519 163.249232 \nL 210.407475 182.267041 \nL 201.308561 197.330384 \nL 194.304926 208.536641 \nL 188.084808 218.083565 \nL 182.622803 226.045007 \nL 177.883372 232.545406 \nL 173.828593 237.740027 \nL 169.86104 242.436169 \nL 166.529895 246.039585 \nL 163.262863 249.233884 \nL 160.589116 251.571417 \nL 157.959536 253.605275 \nL 155.374023 255.328545 \nL 152.832609 256.73558 \nL 150.335495 257.822124 \nL 148.369972 258.458601 \nL 146.433406 258.887266 \nL 144.526272 259.107887 \nL 142.649174 259.120812 \nL 140.802883 258.926971 \nL 138.988334 258.527899 \nL 137.206642 257.925698 \nL 135.459109 257.123039 \nL 133.747233 256.123135 \nL 132.072723 254.929731 \nL 130.035069 253.172434 \nL 128.063024 251.128955 \nL 126.16134 248.809834 \nL 124.335296 246.226677 \nL 122.590706 243.392027 \nL 120.933912 240.319315 \nL 119.071326 236.337781 \nL 117.357749 232.059529 \nL 115.806805 227.511305 \nL 114.432923 222.72062 \nL 113.251196 217.715515 \nL 112.277236 212.524252 \nL 111.527059 207.175063 \nL 111.016825 201.695906 \nL 110.786606 197.05048 \nL 110.743469 192.349377 \nL 110.896483 187.607665 \nL 111.254369 182.839921 \nL 111.825477 178.06015 \nL 112.617692 173.281735 \nL 113.638297 168.517402 \nL 114.893889 163.77917 \nL 116.390301 159.078325 \nL 118.132481 154.425409 \nL 120.124435 149.830202 \nL 122.369133 145.301722 \nL 124.868383 140.848238 \nL 127.622839 136.477276 \nL 130.631884 132.195645 \nL 133.893572 128.009468 \nL 137.404622 123.924212 \nL 141.16033 119.944741 \nL 145.154576 116.075347 \nL 149.379785 112.319812 \nL 153.826942 108.681458 \nL 158.485578 105.1632 \nL 163.34381 101.767606 \nL 168.388337 98.496948 \nL 173.604516 95.353282 \nL 178.97638 92.338488 \nL 185.603832 88.893319 \nL 192.398722 85.639176 \nL 199.326915 82.578991 \nL 206.352321 79.715752 \nL 213.437149 77.052663 \nL 220.54222 74.593177 \nL 228.803316 71.986146 \nL 236.972035 69.66793 \nL 244.982677 67.645759 \nL 252.769782 65.927487 \nL 260.268918 64.521522 \nL 267.417546 63.436673 \nL 273.220489 62.769257 \nL 278.686181 62.350129 \nL 283.781148 62.184919 \nL 288.474475 62.279021 \nL 292.058422 62.559178 \nL 295.329302 63.025606 \nL 298.274132 63.680678 \nL 300.8816 64.526437 \nL 302.718182 65.341473 \nL 304.328636 66.280279 \nL 305.709654 67.343305 \nL 306.858682 68.530791 \nL 307.773945 69.842761 \nL 308.454423 71.279025 \nL 308.899862 72.839102 \nL 309.110758 74.522318 \nL 309.08836 76.327686 \nL 308.834633 78.25397 \nL 308.352251 80.299675 \nL 307.644534 82.463007 \nL 306.449182 85.329417 \nL 304.917212 88.371713 \nL 303.059182 91.58457 \nL 300.415908 95.656595 \nL 297.342893 99.953849 \nL 293.864864 104.463298 \nL 289.330677 109.973331 \nL 283.574919 116.568197 \nL 277.273315 123.441593 \nL 269.619492 131.452247 \nL 260.532301 140.619366 \nL 249.98347 150.913767 \nL 239.0207 161.295841 \nL 227.800923 171.623836 \nL 216.464118 181.753678 \nL 206.158657 190.669666 \nL 196.950702 198.364912 \nL 187.85517 205.67109 \nL 179.89622 211.781611 \nL 172.079239 217.482418 \nL 165.370255 222.100828 \nL 158.793926 226.346814 \nL 153.268942 229.67218 \nL 147.851852 232.694072 \nL 142.546427 235.401481 \nL 137.356042 237.785285 \nL 132.28381 239.838311 \nL 128.149404 241.292713 \nL 124.100933 242.511926 \nL 120.140312 243.495111 \nL 116.269547 244.242418 \nL 112.490902 244.755033 \nL 108.806871 245.035157 \nL 105.220212 245.085977 \nL 101.734097 244.911652 \nL 98.351993 244.517279 \nL 95.07779 243.908851 \nL 91.91581 243.093209 \nL 88.8708 242.07799 \nL 85.947918 240.871586 \nL 83.15282 239.483045 \nL 80.49155 237.922039 \nL 77.970579 236.198778 \nL 75.596798 234.323903 \nL 73.377511 232.308465 \nL 71.320307 230.163802 \nL 69.433114 227.901461 \nL 67.724135 225.533123 \nL 66.201752 223.07052 \nL 64.874558 220.525366 \nL 63.751199 217.909249 \nL 62.840376 215.233575 \nL 62.150765 212.509493 \nL 61.690909 209.747835 \nL 61.46921 206.959016 \nL 61.493764 204.153018 \nL 61.772363 201.339312 \nL 62.312405 198.52681 \nL 63.12075 195.72385 \nL 64.203762 192.938123 \nL 65.567149 190.176675 \nL 67.215899 187.445885 \nL 69.154241 184.751445 \nL 71.385599 182.098352 \nL 73.912468 179.490929 \nL 76.736424 176.932823 \nL 79.858025 174.427025 \nL 83.276829 171.9759 \nL 86.991303 169.581212 \nL 90.998835 167.244167 \nL 95.295652 164.965457 \nL 100.826762 162.308295 \nL 106.756749 159.735057 \nL 113.07257 157.244654 \nL 119.758823 154.835447 \nL 128.003789 152.124607 \nL 136.696472 149.51793 \nL 145.800494 147.011779 \nL 156.656859 144.266442 \nL 167.931435 141.644147 \nL 181.025091 138.838447 \nL 194.445573 136.185967 \nL 209.596293 133.424205 \nL 224.832925 130.870779 \nL 239.977339 128.546978 \nL 254.847326 126.481934 \nL 269.259678 124.711993 \nL 281.689903 123.406334 \nL 292.201178 122.502757 \nL 302.116585 121.867272 \nL 310.239898 121.551216 \nL 317.794356 121.476813 \nL 323.781549 121.61763 \nL 329.290197 121.957365 \nL 334.296592 122.504689 \nL 338.069857 123.124923 \nL 341.469529 123.898439 \nL 344.486845 124.828366 \nL 346.620545 125.686566 \nL 348.50203 126.647292 \nL 350.1291 127.711073 \nL 351.500224 128.878084 \nL 352.614566 130.148123 \nL 353.471979 131.520609 \nL 354.072979 132.994569 \nL 354.418762 134.568624 \nL 354.511177 136.240991 \nL 354.352677 138.009479 \nL 353.946327 139.871481 \nL 353.295805 141.823992 \nL 352.40534 143.863592 \nL 350.962085 146.529713 \nL 349.161642 149.317624 \nL 347.015426 152.218102 \nL 344.535816 155.221053 \nL 341.138861 158.944429 \nL 337.305092 162.779281 \nL 333.0599 166.703858 \nL 328.429582 170.695152 \nL 323.440935 174.729097 \nL 318.121112 178.780772 \nL 311.532243 183.496024 \nL 304.572121 188.159383 \nL 298.342427 192.08381 \nL 291.896064 195.913677 \nL 285.25761 199.623414 \nL 278.450629 203.188104 \nL 271.497584 206.583703 \nL 264.419779 209.787287 \nL 257.23734 212.777256 \nL 249.969224 215.533572 \nL 242.633258 218.037942 \nL 236.480246 219.920586 \nL 230.300953 221.608493 \nL 224.104127 223.094369 \nL 217.898142 224.372031 \nL 211.691049 225.436459 \nL 205.490639 226.283816 \nL 199.304497 226.911527 \nL 193.140082 227.318211 \nL 187.004771 227.503759 \nL 180.905941 227.469293 \nL 174.851028 227.217194 \nL 168.84758 226.751015 \nL 162.903329 226.075531 \nL 157.02623 225.196642 \nL 151.224512 224.121364 \nL 145.506753 222.857739 \nL 139.881859 221.414809 \nL 134.359126 219.802518 \nL 127.880403 217.659449 \nL 121.580343 215.308128 \nL 115.477374 212.769955 \nL 109.590746 210.067444 \nL 103.9405 207.223995 \nL 98.547352 204.263631 \nL 93.432634 201.210768 \nL 88.618109 198.089939 \nL 84.125785 194.925557 \nL 79.977796 191.741688 \nL 76.19616 188.561775 \nL 72.802524 185.408447 \nL 69.817996 182.303284 \nL 67.65805 179.767159 \nL 65.807473 177.289666 \nL 64.276792 174.881073 \nL 63.075859 172.550851 \nL 62.213679 170.307606 \nL 61.773346 168.580844 \nL 61.55875 166.918213 \nL 61.573178 165.322833 \nL 61.819453 163.797432 \nL 62.299921 162.344328 \nL 63.016433 160.96544 \nL 63.97034 159.662282 \nL 65.162469 158.435968 \nL 66.593103 157.287218 \nL 68.261968 156.216364 \nL 70.168271 155.223363 \nL 72.88291 154.090935 \nL 75.962453 153.077924 \nL 79.401678 152.181962 \nL 83.194043 151.399938 \nL 88.199889 150.606516 \nL 93.68691 149.963955 \nL 100.671888 149.393186 \nL 108.253289 149.000291 \nL 117.599997 148.747675 \nL 128.910929 148.682803 \nL 142.354023 148.839209 \nL 159.507346 149.27685 \nL 182.136022 150.096595 \nL 213.483383 151.473657 \nL 248.087306 153.205071 \nL 273.869516 154.705063 \nL 292.508565 156.010016 \nL 307.298233 157.276572 \nL 318.602891 158.460347 \nL 327.976713 159.649257 \nL 335.614252 160.811805 \nL 342.691687 162.102208 \nL 348.291144 163.31927 \nL 353.443534 164.646064 \nL 358.135994 166.088514 \nL 361.687348 167.382418 \nL 364.907052 168.762134 \nL 367.791405 170.22912 \nL 370.337808 171.784113 \nL 372.544834 173.427086 \nL 374.065864 174.804279 \nL 375.369836 176.236457 \nL 376.457552 177.722459 \nL 377.330248 179.260772 \nL 377.989564 180.849523 \nL 378.437582 182.486483 \nL 378.676744 184.169054 \nL 378.709839 185.894291 \nL 378.54005 187.65889 \nL 378.170854 189.459211 \nL 377.606046 191.291274 \nL 376.631146 193.619418 \nL 375.365449 195.981344 \nL 373.81794 198.367286 \nL 371.998112 200.766804 \nL 369.915772 203.168891 \nL 367.581048 205.562004 \nL 364.460746 208.405014 \nL 361.009915 211.196447 \nL 357.246649 213.914374 \nL 353.188951 216.536522 \nL 348.854556 219.04051 \nL 344.260801 221.404076 \nL 339.424502 223.60532 \nL 334.36181 225.622917 \nL 329.98116 227.149141 \nL 325.462623 228.522258 \nL 320.814378 229.731526 \nL 316.044248 230.766875 \nL 311.159675 231.618993 \nL 306.167751 232.279378 \nL 301.075209 232.740426 \nL 295.888507 232.995472 \nL 290.61382 233.038845 \nL 285.257092 232.86594 \nL 279.824089 232.47321 \nL 274.32044 231.858266 \nL 268.751732 231.019813 \nL 263.123492 229.957717 \nL 257.441337 228.673024 \nL 251.710997 227.167918 \nL 245.938371 225.445728 \nL 240.129619 223.510885 \nL 233.120565 220.916273 \nL 226.080742 218.035099 \nL 219.022994 214.881044 \nL 211.961238 211.469768 \nL 204.910587 207.818771 \nL 197.887441 203.947223 \nL 190.909574 199.875803 \nL 182.851656 194.902617 \nL 174.914557 189.724245 \nL 167.13394 184.379248 \nL 159.548046 178.907401 \nL 152.197467 173.349279 \nL 145.124916 167.745798 \nL 138.374845 162.137765 \nL 131.992998 156.565441 \nL 126.025862 151.068112 \nL 120.520067 145.683684 \nL 116.203019 141.185766 \nL 112.287236 136.818901 \nL 108.800064 132.603315 \nL 105.767548 128.557782 \nL 103.605393 125.328882 \nL 101.788957 122.239145 \nL 100.330153 119.296807 \nL 99.427807 117.054053 \nL 98.76607 114.913736 \nL 98.349192 112.878856 \nL 98.180809 110.952037 \nL 98.263901 109.135529 \nL 98.600752 107.431211 \nL 99.19299 105.840603 \nL 100.04146 104.36485 \nL 101.146342 103.004745 \nL 102.50698 101.760736 \nL 104.122022 100.632945 \nL 105.989353 99.621162 \nL 108.106088 98.724886 \nL 110.468591 97.943312 \nL 113.760595 97.125994 \nL 117.419574 96.483581 \nL 121.433724 96.012895 \nL 125.789502 95.710279 \nL 131.44609 95.563228 \nL 137.544048 95.644654 \nL 144.051776 95.94639 \nL 152.116409 96.56548 \nL 160.634409 97.459058 \nL 169.544547 98.613414 \nL 178.782967 100.01522 \nL 189.658805 101.904086 \nL 200.777798 104.08224 \nL 212.039687 106.534176 \nL 223.345139 109.246507 \nL 233.19673 111.824576 \nL 242.944352 114.587292 \nL 252.527701 117.529712 \nL 261.889601 120.647901 \nL 270.97651 123.938756 \nL 278.508765 126.894993 \nL 285.773911 129.974833 \nL 292.745824 133.176898 \nL 299.401016 136.499687 \nL 305.718697 139.941418 \nL 310.712534 142.8988 \nL 315.450478 145.935661 \nL 319.924959 149.050063 \nL 324.129742 152.239673 \nL 328.059921 155.501699 \nL 331.711925 158.832844 \nL 335.083416 162.229263 \nL 338.173381 165.68652 \nL 340.981947 169.19956 \nL 343.51038 172.762681 \nL 345.761072 176.369512 \nL 347.737392 180.013005 \nL 349.443665 183.685428 \nL 350.885102 187.37838 \nL 352.067654 191.082785 \nL 352.998032 194.788932 \nL 353.683541 198.486478 \nL 354.131992 202.164521 \nL 354.351652 205.811609 \nL 354.351123 209.415821 \nL 354.139296 212.964801 \nL 353.72524 216.445827 \nL 353.118088 219.845909 \nL 352.326983 223.151834 \nL 351.361025 226.350267 \nL 350.229168 229.427818 \nL 348.940164 232.371147 \nL 347.502512 235.167055 \nL 345.924349 237.802551 \nL 344.213478 240.264984 \nL 342.377287 242.542109 \nL 340.422699 244.622164 \nL 338.35614 246.493992 \nL 336.183605 248.147108 \nL 333.910505 249.571792 \nL 331.541734 250.759128 \nL 329.081689 251.701131 \nL 326.534229 252.390728 \nL 323.902673 252.8219 \nL 321.189895 252.989659 \nL 318.398263 252.890144 \nL 315.529712 252.520592 \nL 312.585764 251.879391 \nL 309.56757 250.966102 \nL 306.475978 249.78143 \nL 303.31153 248.327227 \nL 300.074565 246.606481 \nL 296.765242 244.623285 \nL 292.698606 241.904378 \nL 288.527844 238.825914 \nL 284.253023 235.400817 \nL 279.134627 230.986583 \nL 273.876148 226.147137 \nL 267.697846 220.133354 \nL 260.539251 212.809232 \nL 252.34231 204.063465 \nL 243.061417 193.826786 \nL 230.92884 180.089864 \nL 215.031976 161.724956 \nL 197.478677 141.116281 \nL 184.025405 125.01393 \nL 173.833929 112.474543 \nL 166.631676 103.287658 \nL 160.739651 95.429773 \nL 156.048307 88.812776 \nL 152.415546 83.332266 \nL 149.264158 78.159776 \nL 146.973326 73.983712 \nL 145.082888 70.05484 \nL 143.826504 66.975239 \nL 142.869896 64.076587 \nL 142.220843 61.362213 \nL 141.927341 59.325274 \nL 141.837288 57.409251 \nL 141.952593 55.615106 \nL 142.274477 53.943586 \nL 142.803499 52.395272 \nL 143.539507 50.970522 \nL 144.481656 49.669526 \nL 145.628379 48.492309 \nL 146.977412 47.438738 \nL 148.525787 46.508506 \nL 150.269828 45.701174 \nL 152.205173 45.016184 \nL 154.885632 44.330945 \nL 157.845832 43.834268 \nL 161.072967 43.52441 \nL 164.552798 43.399469 \nL 169.040122 43.490782 \nL 173.839523 43.841806 \nL 178.919412 44.448806 \nL 184.246224 45.308071 \nL 189.784741 46.415956 \nL 195.498444 47.768992 \nL 201.34987 49.363892 \nL 207.300992 51.197593 \nL 213.313564 53.267304 \nL 219.349503 55.570462 \nL 225.371235 58.104733 \nL 231.342042 60.867993 \nL 237.226387 63.858265 \nL 242.990213 67.073616 \nL 247.677996 69.923607 \nL 252.242015 72.92736 \nL 256.665722 76.08359 \nL 260.933728 79.390835 \nL 265.031847 82.847419 \nL 268.947201 86.451427 \nL 272.668223 90.200628 \nL 276.184727 94.092397 \nL 279.487898 98.123689 \nL 282.570348 102.290971 \nL 285.426056 106.590167 \nL 288.050425 111.016612 \nL 290.44021 115.565006 \nL 292.593491 120.229359 \nL 294.509662 125.002958 \nL 296.189335 129.878347 \nL 297.634292 134.847275 \nL 298.847434 139.900696 \nL 299.832687 145.028746 \nL 300.594909 150.220737 \nL 301.13983 155.46516 \nL 301.473948 160.749699 \nL 301.604422 166.061244 \nL 301.538987 171.385924 \nL 301.213467 177.772277 \nL 300.632624 184.129986 \nL 299.811933 190.431277 \nL 298.767211 196.647287 \nL 297.514399 202.748224 \nL 296.069369 208.70362 \nL 294.44771 214.482545 \nL 292.664607 220.05387 \nL 290.734648 225.386553 \nL 288.671741 230.449903 \nL 286.488969 235.213899 \nL 284.198523 239.649492 \nL 281.811651 243.728906 \nL 279.756366 246.837338 \nL 277.646649 249.665986 \nL 275.487417 252.201635 \nL 273.283091 254.432215 \nL 271.037617 256.346852 \nL 269.213983 257.644611 \nL 267.36785 258.729743 \nL 265.500651 259.598562 \nL 263.613643 260.248006 \nL 261.707958 260.675634 \nL 259.784573 260.879627 \nL 257.844352 260.858816 \nL 255.888051 260.612686 \nL 253.916332 260.141361 \nL 251.929774 259.445654 \nL 249.928904 258.526986 \nL 247.914198 257.38744 \nL 245.377028 255.656567 \nL 242.819774 253.591462 \nL 240.243296 251.200179 \nL 237.648525 248.492131 \nL 235.036512 245.478017 \nL 231.881067 241.473895 \nL 228.705082 237.068867 \nL 225.511644 232.287579 \nL 221.768964 226.269198 \nL 218.014967 219.819166 \nL 213.722309 211.978951 \nL 209.442613 203.707655 \nL 204.667552 193.978412 \nL 199.965752 183.900983 \nL 195.374877 173.578718 \nL 190.456055 161.944376 \nL 186.244972 151.429675 \nL 182.291557 140.966907 \nL 179.037413 131.777888 \nL 176.068625 122.749849 \nL 173.73585 115.021178 \nL 171.677471 107.483459 \nL 169.918521 100.163761 \nL 168.667195 94.08171 \nL 167.667201 88.191303 \nL 166.93124 82.504671 \nL 166.470591 77.032508 \nL 166.304058 72.642953 \nL 166.340113 68.413512 \nL 166.58244 64.348243 \nL 167.033755 60.450667 \nL 167.695661 56.72373 \nL 168.56868 53.169881 \nL 169.652157 49.791097 \nL 170.944264 46.588911 \nL 172.441966 43.564488 \nL 174.140988 40.718615 \nL 176.035857 38.051774 \nL 178.11988 35.564197 \nL 180.385182 33.255834 \nL 182.82273 31.126512 \nL 185.422378 29.175856 \nL 188.172918 27.403402 \nL 191.062142 25.808601 \nL 194.076908 24.390874 \nL 197.203241 23.149605 \nL 200.42639 22.084221 \nL 203.730949 21.194201 \nL 207.781348 20.356984 \nL 211.897483 19.770978 \nL 216.050221 19.435759 \nL 220.210032 19.351153 \nL 224.347288 19.517243 \nL 228.43255 19.934353 \nL 232.436856 20.603056 \nL 235.691565 21.353061 \nL 238.854675 22.278884 \nL 241.911009 23.38115 \nL 244.846097 24.660505 \nL 247.64627 26.117646 \nL 250.298737 27.753255 \nL 252.791668 29.567954 \nL 255.114268 31.562299 \nL 257.256829 33.73673 \nL 259.210788 36.091555 \nL 260.968763 38.626889 \nL 262.52458 41.342616 \nL 263.873289 44.238371 \nL 265.011177 47.313465 \nL 265.935773 50.566901 \nL 266.645821 53.99727 \nL 267.141241 57.60276 \nL 267.423127 61.381098 \nL 267.493704 65.329544 \nL 267.356239 69.444827 \nL 267.015006 73.723088 \nL 266.343962 79.065918 \nL 265.397686 84.628282 \nL 264.188398 90.400052 \nL 262.729689 96.369726 \nL 260.732355 103.567151 \nL 258.440646 110.99324 \nL 255.494763 119.726967 \nL 252.238947 128.682597 \nL 248.256297 138.963384 \nL 243.989948 149.389757 \nL 238.983602 161.0457 \nL 233.765451 172.65898 \nL 228.399594 184.099996 \nL 222.942497 195.232714 \nL 217.993125 204.872736 \nL 213.038316 214.046185 \nL 208.648921 221.725801 \nL 204.287613 228.885609 \nL 200.502863 234.671076 \nL 196.753204 239.964464 \nL 193.570371 244.079914 \nL 190.418488 247.781872 \nL 187.816742 250.535992 \nL 185.238396 252.977888 \nL 182.684123 255.098129 \nL 180.154553 256.888613 \nL 177.650325 258.34265 \nL 175.665652 259.260081 \nL 173.698044 259.956825 \nL 171.747963 260.431537 \nL 169.815964 260.683487 \nL 167.902673 260.712607 \nL 166.008832 260.519472 \nL 164.135307 260.1053 \nL 162.283096 259.471936 \nL 160.453342 258.621844 \nL 158.647355 257.558137 \nL 156.866599 256.284485 \nL 154.678668 254.403726 \nL 152.536395 252.211156 \nL 150.443887 249.717619 \nL 148.405731 246.935084 \nL 146.427027 243.876659 \nL 144.51335 240.556422 \nL 142.311393 236.247647 \nL 140.223298 231.610683 \nL 138.261448 226.674097 \nL 136.439114 221.467389 \nL 134.770354 216.020785 \nL 133.269931 210.364884 \nL 131.953132 204.53039 \nL 130.835672 198.547837 \nL 129.933479 192.447331 \nL 129.262536 186.258315 \nL 128.838634 180.009336 \nL 128.685244 174.775911 \nL 128.722753 169.535201 \nL 128.959367 164.3018 \nL 129.402834 159.089592 \nL 130.06029 153.911719 \nL 130.938219 148.780545 \nL 132.042308 143.707638 \nL 133.377392 138.70376 \nL 134.947342 133.778855 \nL 136.755015 128.942059 \nL 138.802129 124.201711 \nL 141.08923 119.565372 \nL 143.615634 115.03986 \nL 146.379318 110.631267 \nL 149.376947 106.345004 \nL 152.603791 102.185849 \nL 156.053729 98.157994 \nL 159.71922 94.265087 \nL 163.591306 90.5103 \nL 167.659622 86.896367 \nL 171.912441 83.425655 \nL 176.336682 80.100213 \nL 180.917962 76.921828 \nL 185.640661 73.8921 \nL 190.48799 71.012457 \nL 196.444071 67.756879 \nL 202.521085 64.721548 \nL 208.684473 61.90868 \nL 214.89816 59.320543 \nL 221.124854 56.959575 \nL 227.326377 54.828402 \nL 233.46401 52.929902 \nL 239.498848 51.267215 \nL 245.392175 49.843718 \nL 251.105827 48.663056 \nL 256.602565 47.729072 \nL 261.846438 47.045726 \nL 266.803148 46.617102 \nL 271.440389 46.447252 \nL 275.728148 46.54015 \nL 279.014465 46.821021 \nL 282.024656 47.289026 \nL 284.745869 47.946024 \nL 287.166794 48.793642 \nL 288.880767 49.609915 \nL 290.392157 50.549618 \nL 291.697498 51.613175 \nL 292.794024 52.800827 \nL 293.679706 54.112698 \nL 294.353239 55.548696 \nL 294.814031 57.108557 \nL 295.062198 58.791831 \nL 295.098575 60.597831 \nL 294.92468 62.525708 \nL 294.54271 64.574351 \nL 293.777015 67.302995 \nL 292.697608 70.215186 \nL 291.312843 73.307314 \nL 289.261812 77.249418 \nL 286.804199 81.436149 \nL 283.961376 85.857929 \nL 280.18911 91.299365 \nL 275.326052 97.867319 \nL 269.934828 104.77707 \nL 262.553072 113.840695 \nL 253.753728 124.272013 \nL 242.664038 137.073138 \nL 227.455993 154.261703 \nL 211.022201 172.505383 \nL 196.535917 188.263746 \nL 185.919584 199.515814 \nL 176.454976 209.22386 \nL 168.934145 216.634177 \nL 162.432606 222.755232 \nL 156.11251 228.388094 \nL 150.735498 232.881953 \nL 145.503677 236.942141 \nL 141.135797 240.059364 \nL 136.876012 242.828052 \nL 132.724651 245.237407 \nL 129.348271 246.964371 \nL 126.047763 248.431822 \nL 122.823578 249.636923 \nL 119.676386 250.577971 \nL 116.607128 251.254369 \nL 113.617041 251.666598 \nL 110.70772 251.816318 \nL 107.881144 251.706269 \nL 105.139731 251.340295 \nL 102.486368 250.723275 \nL 99.924395 249.861147 \nL 97.457691 248.760782 \nL 95.090601 247.430018 \nL 92.828018 245.877545 \nL 90.675355 244.112853 \nL 88.638499 242.146142 \nL 86.723855 239.988297 \nL 84.938285 237.650731 \nL 83.289101 235.145373 \nL 81.784021 232.484508 \nL 80.43112 229.680747 \nL 79.238791 226.746923 \nL 78.21567 223.695965 \nL 77.370625 220.540876 \nL 76.712651 217.294587 \nL 76.250808 213.969893 \nL 75.99411 210.579391 \nL 75.951534 207.135392 \nL 76.131851 203.649829 \nL 76.543592 200.134236 \nL 77.194917 196.599655 \nL 78.093605 193.056606 \nL 79.246878 189.515032 \nL 80.661392 185.984269 \nL 82.3431 182.473016 \nL 84.297181 178.989313 \nL 86.52799 175.54053 \nL 89.038951 172.133362 \nL 91.832475 168.773833 \nL 94.909946 165.467308 \nL 98.271649 162.218509 \nL 101.916645 159.031541 \nL 105.84285 155.909927 \nL 110.046903 152.856644 \nL 114.524143 149.874172 \nL 119.268609 146.964535 \nL 124.273037 144.129363 \nL 130.609348 140.827242 \nL 137.290221 137.635897 \nL 144.295594 134.556602 \nL 151.602745 131.590372 \nL 159.186366 128.738097 \nL 168.346141 125.555716 \nL 177.796157 122.531525 \nL 187.484228 119.667962 \nL 197.354536 116.968339 \nL 208.782179 114.089494 \nL 220.278267 111.439139 \nL 231.746849 109.028169 \nL 243.089581 106.869868 \nL 254.20698 104.979827 \nL 264.99974 103.375734 \nL 275.370124 102.077016 \nL 284.023153 101.207404 \nL 292.219428 100.601782 \nL 299.901462 100.274557 \nL 306.03612 100.226373 \nL 311.722612 100.401586 \nL 316.932747 100.808129 \nL 320.892386 101.328838 \nL 324.490873 102.018874 \nL 327.716992 102.881377 \nL 330.023367 103.697301 \nL 332.081311 104.626271 \nL 333.887525 105.669017 \nL 335.439442 106.825958 \nL 336.735274 108.097195 \nL 337.773955 109.482494 \nL 338.555188 110.98127 \nL 339.079385 112.592577 \nL 339.347699 114.315112 \nL 339.36199 116.14719 \nL 339.124784 118.086747 \nL 338.639284 120.131335 \nL 337.909359 122.278123 \nL 336.939448 124.523913 \nL 335.397256 127.464872 \nL 333.498901 130.547089 \nL 331.25655 133.761875 \nL 328.683415 137.099706 \nL 325.17895 141.252921 \nL 321.244395 145.549116 \nL 316.906988 149.967559 \nL 311.375106 155.247478 \nL 305.378944 160.626886 \nL 298.964689 166.067183 \nL 292.178315 171.528472 \nL 285.065042 176.969981 \nL 277.668804 182.350522 \nL 270.031783 187.628941 \nL 262.194118 192.764599 \nL 254.193606 197.717817 \nL 247.233226 201.789199 \nL 240.199876 205.675424 \nL 233.112856 209.354728 \nL 225.990086 212.806742 \nL 218.848173 216.012721 \nL 211.702473 218.955668 \nL 204.56721 221.620517 \nL 198.638684 223.619336 \nL 192.733761 225.409584 \nL 186.859243 226.985981 \nL 181.02164 228.344363 \nL 175.227218 229.481734 \nL 169.482088 230.396252 \nL 163.792235 231.08726 \nL 158.163625 231.555281 \nL 152.602232 231.801993 \nL 147.114126 231.83025 \nL 141.705525 231.644004 \nL 136.382822 231.248336 \nL 131.152667 230.649355 \nL 126.021982 229.854184 \nL 120.99802 228.870899 \nL 116.088353 227.708458 \nL 111.300952 226.376607 \nL 106.644113 224.885849 \nL 101.240554 222.902952 \nL 96.053313 220.727682 \nL 91.098871 218.381358 \nL 86.394414 215.88602 \nL 81.957679 213.264196 \nL 77.806889 210.53869 \nL 73.960668 207.73231 \nL 70.437759 204.867668 \nL 67.256953 201.966924 \nL 64.43692 199.051582 \nL 62.375667 196.625903 \nL 60.587919 194.215826 \nL 59.083611 191.832163 \nL 57.872213 189.485076 \nL 56.962679 187.184024 \nL 56.458016 185.382198 \nL 56.155824 183.619498 \nL 56.059762 181.89967 \nL 56.173107 180.226101 \nL 56.498827 178.60183 \nL 57.039472 177.029515 \nL 57.797218 175.511462 \nL 58.773798 174.049594 \nL 59.970525 172.645473 \nL 61.388274 171.300286 \nL 63.027468 170.014867 \nL 65.387698 168.492834 \nL 68.092633 167.065087 \nL 71.139948 165.731004 \nL 74.526121 164.489202 \nL 78.246472 163.33759 \nL 83.143666 162.070801 \nL 88.501277 160.924057 \nL 94.304696 159.890459 \nL 101.616187 158.817199 \nL 110.64783 157.748899 \nL 120.350775 156.828925 \nL 131.997659 155.943979 \nL 147.15739 155.035113 \nL 166.154093 154.140128 \nL 192.255697 153.154837 \nL 230.160083 151.969063 \nL 262.766579 151.146457 \nL 284.868811 150.798051 \nL 301.437714 150.759443 \nL 314.293939 150.952745 \nL 325.008062 151.345709 \nL 333.776855 151.899627 \nL 340.821364 152.56238 \nL 347.245265 153.407287 \nL 352.235942 154.286841 \nL 356.734565 155.317679 \nL 360.098341 156.29676 \nL 363.105668 157.388016 \nL 365.751907 158.593506 \nL 368.033738 159.914488 \nL 369.595432 161.054724 \nL 370.92215 162.268941 \nL 372.014009 163.556555 \nL 372.871622 164.916595 \nL 373.496131 166.347699 \nL 373.889173 167.848109 \nL 374.052863 169.415666 \nL 373.989791 171.047814 \nL 373.703 172.741602 \nL 373.195937 174.493694 \nL 372.47246 176.300363 \nL 371.270237 178.629184 \nL 369.745507 181.028082 \nL 367.908016 183.487443 \nL 365.768174 185.996871 \nL 363.336965 188.54525 \nL 360.051071 191.638106 \nL 356.382567 194.748638 \nL 352.352468 197.854405 \nL 347.982092 200.93218 \nL 343.292814 203.958177 \nL 338.305911 206.90825 \nL 333.042375 209.758187 \nL 327.522754 212.483933 \nL 321.767006 215.061836 \nL 315.7944 217.468908 \nL 309.623434 219.683052 \nL 303.271796 221.683324 \nL 297.852937 223.172658 \nL 292.329633 224.489335 \nL 286.710811 225.623689 \nL 281.005013 226.56697 \nL 275.220445 227.311412 \nL 269.365015 227.850301 \nL 263.446354 228.178024 \nL 257.471895 228.290098 \nL 251.448912 228.183229 \nL 245.384564 227.85534 \nL 239.285985 227.305552 \nL 233.160328 226.534263 \nL 227.014833 225.543059 \nL 220.856897 224.334787 \nL 214.694138 222.913494 \nL 208.534455 221.28441 \nL 202.386091 219.45391 \nL 196.257679 217.429473 \nL 188.942754 214.756236 \nL 181.686318 211.832688 \nL 174.50613 208.677355 \nL 167.421121 205.310466 \nL 160.451455 201.753782 \nL 153.618514 198.030365 \nL 146.944898 194.164383 \nL 140.454352 190.18085 \nL 133.146597 185.419066 \nL 126.162862 180.573566 \nL 119.545569 175.685926 \nL 113.338114 170.797396 \nL 107.584385 165.948429 \nL 103.046948 161.85339 \nL 98.902236 157.839876 \nL 95.176748 153.9304 \nL 91.896012 150.146151 \nL 89.519303 147.102527 \nL 87.481422 144.170105 \nL 85.794608 141.358574 \nL 84.470025 138.676732 \nL 83.677936 136.629958 \nL 83.128688 134.674832 \nL 82.826285 132.814551 \nL 82.774142 131.051905 \nL 82.975071 129.389278 \nL 83.43126 127.828649 \nL 84.14423 126.371595 \nL 85.114828 125.019291 \nL 86.343233 123.772526 \nL 87.828906 122.631698 \nL 89.570621 121.596836 \nL 91.566444 120.667617 \nL 93.813732 119.843366 \nL 96.971314 118.959115 \nL 100.508515 118.234678 \nL 104.415672 117.666764 \nL 108.681508 117.251447 \nL 114.255914 116.948184 \nL 120.303558 116.849637 \nL 127.920316 116.980899 \nL 136.095408 117.362281 \nL 144.776543 117.97737 \nL 155.24577 118.945248 \nL 166.215078 120.172363 \nL 179.03917 121.833858 \nL 192.246208 123.763621 \nL 207.204739 126.190073 \nL 222.282962 128.884528 \nL 235.805427 131.519528 \nL 249.149859 134.341282 \nL 262.194652 137.342842 \nL 273.44611 140.159492 \nL 284.296361 143.116287 \nL 293.407529 145.819969 \nL 302.117832 148.634452 \nL 310.389942 151.56203 \nL 317.106426 154.1631 \nL 323.45845 156.850088 \nL 329.430263 159.623789 \nL 335.008569 162.48445 \nL 339.348682 164.934462 \nL 343.402998 167.443865 \nL 347.167754 170.011498 \nL 350.640317 172.63569 \nL 353.819146 175.314217 \nL 356.703838 178.04427 \nL 359.295037 180.82242 \nL 361.594394 183.644587 \nL 363.604497 186.506028 \nL 365.328834 189.401329 \nL 366.771762 192.324403 \nL 367.938373 195.268479 \nL 368.834494 198.226149 \nL 369.46657 201.189343 \nL 369.841601 204.149395 \nL 369.96708 207.097049 \nL 369.850871 210.022526 \nL 369.501177 212.915558 \nL 368.926454 215.765437 \nL 368.135307 218.561071 \nL 367.136433 221.291088 \nL 365.938555 223.943859 \nL 364.55035 226.507608 \nL 362.98039 228.970456 \nL 361.237037 231.320523 \nL 359.32845 233.546015 \nL 357.262494 235.635276 \nL 355.046706 237.576933 \nL 352.688262 239.359888 \nL 350.193938 240.973474 \nL 347.570087 242.40753 \nL 344.822628 243.652427 \nL 341.957016 244.699183 \nL 338.978239 245.539512 \nL 335.890832 246.165912 \nL 332.698885 246.571683 \nL 329.406057 246.75103 \nL 326.015571 246.69904 \nL 322.530291 246.411785 \nL 318.952702 245.886311 \nL 315.284959 245.120692 \nL 311.528976 244.11399 \nL 307.686413 242.866329 \nL 303.758776 241.378855 \nL 299.747433 239.653734 \nL 294.825188 237.274413 \nL 289.786591 234.564821 \nL 284.634105 231.534279 \nL 279.370522 228.193962 \nL 273.093674 223.922791 \nL 266.676495 219.271068 \nL 260.126976 214.264963 \nL 252.492592 208.146602 \nL 243.736031 200.812576 \nL 234.833683 193.06897 \nL 224.821201 184.074702 \nL 213.740168 173.828258 \nL 201.697676 162.391987 \nL 189.867968 150.866956 \nL 178.445463 139.435758 \nL 168.5163 129.189748 \nL 160.092576 120.179473 \nL 153.11904 112.39481 \nL 147.487508 105.784042 \nL 143.05396 100.27007 \nL 139.127501 95.033387 \nL 136.196898 90.78179 \nL 133.693209 86.761763 \nL 131.948761 83.59646 \nL 130.527345 80.604976 \nL 129.439011 77.792208 \nL 128.692353 75.162365 \nL 128.345851 73.1926 \nL 128.225467 71.343717 \nL 128.333389 69.616961 \nL 128.671101 68.013336 \nL 129.239355 66.533599 \nL 130.038161 65.178255 \nL 131.066763 63.947569 \nL 132.323676 62.841618 \nL 133.806632 61.860201 \nL 135.512615 61.002979 \nL 137.437855 60.269386 \nL 139.577839 59.658692 \nL 142.546775 59.066817 \nL 145.831274 58.663528 \nL 149.417954 58.44651 \nL 153.291853 58.413156 \nL 158.296456 58.611662 \nL 163.660044 59.065538 \nL 169.349226 59.769513 \nL 175.328446 60.718239 \nL 181.560337 61.906389 \nL 189.098358 63.588244 \nL 196.863959 65.581003 \nL 204.792523 67.877246 \nL 211.668894 70.081802 \nL 218.576587 72.500347 \nL 225.475539 75.129243 \nL 232.326646 77.965163 \nL 239.092088 81.004977 \nL 245.735643 84.245771 \nL 252.222959 87.68469 \nL 257.486392 90.699725 \nL 262.60151 93.848624 \nL 267.552099 97.129534 \nL 272.32327 100.54044 \nL 276.90145 104.079106 \nL 281.274442 107.742995 \nL 285.431484 111.529228 \nL 289.363228 115.434528 \nL 293.061793 119.455169 \nL 296.520722 123.586906 \nL 299.735008 127.824926 \nL 302.701053 132.163814 \nL 305.416601 136.597502 \nL 307.880725 141.119228 \nL 310.093797 145.721511 \nL 312.057381 150.396126 \nL 313.774161 155.134087 \nL 315.2479 159.925636 \nL 316.483355 164.760243 \nL 317.486108 169.626612 \nL 318.262605 174.512701 \nL 318.819972 179.405746 \nL 319.165903 184.292289 \nL 319.308664 189.158233 \nL 319.25687 193.988888 \nL 318.950556 199.71762 \nL 318.392883 205.346406 \nL 317.599928 210.847316 \nL 316.587852 216.191865 \nL 315.372586 221.351251 \nL 313.969678 226.296625 \nL 312.394221 230.999325 \nL 310.660582 235.431208 \nL 308.782353 239.564845 \nL 306.77225 243.373897 \nL 305.004886 246.282054 \nL 303.160318 248.933762 \nL 301.244274 251.316238 \nL 299.261928 253.417718 \nL 297.217948 255.22747 \nL 295.116465 256.735954 \nL 293.396335 257.720185 \nL 291.643357 258.502589 \nL 289.858954 259.08007 \nL 288.044363 259.450079 \nL 286.20064 259.610665 \nL 284.328669 259.560468 \nL 282.429178 259.298715 \nL 280.502738 258.825248 \nL 278.549809 258.140508 \nL 276.570719 257.245531 \nL 274.060419 255.833714 \nL 271.509861 254.100441 \nL 268.919169 252.051558 \nL 266.288326 249.694226 \nL 263.617311 247.03689 \nL 260.359005 243.465717 \nL 257.042854 239.49519 \nL 253.101369 234.386146 \nL 249.082892 228.798355 \nL 244.399086 221.876526 \nL 239.020377 213.481172 \nL 232.922825 203.507218 \nL 226.096923 191.903429 \nL 217.931239 177.571564 \nL 208.504447 160.56028 \nL 199.267314 143.442504 \nL 191.606798 128.820268 \nL 184.987808 115.704039 \nL 179.919765 105.16975 \nL 175.788792 96.066849 \nL 172.515608 88.318519 \nL 169.997074 81.829194 \nL 167.831457 75.630087 \nL 166.276607 70.559586 \nL 165.016348 65.722597 \nL 164.064476 61.126617 \nL 163.515486 57.485348 \nL 163.194776 54.018994 \nL 163.107053 50.730186 \nL 163.255877 47.621074 \nL 163.643586 44.693392 \nL 164.271266 41.94847 \nL 164.946083 39.884785 \nL 165.773645 37.93901 \nL 166.752652 36.111328 \nL 167.881274 34.401839 \nL 169.157123 32.8105 \nL 170.577256 31.337188 \nL 172.138173 29.981686 \nL 174.281109 28.45254 \nL 176.62866 27.106343 \nL 179.170576 25.942267 \nL 181.89542 24.959439 \nL 184.79065 24.156921 \nL 187.8427 23.533734 \nL 191.037059 23.088931 \nL 194.358361 22.821583 \nL 198.488774 22.733806 \nL 202.749761 22.898992 \nL 207.111281 23.316002 \nL 211.542559 23.983941 \nL 216.012388 24.902111 \nL 220.489438 26.070106 \nL 224.942565 27.48775 \nL 229.341108 29.155061 \nL 232.943278 30.735351 \nL 236.470035 32.489335 \nL 239.905261 34.417237 \nL 243.23356 36.519265 \nL 246.440345 38.795619 \nL 249.511939 41.246413 \nL 252.435637 43.871674 \nL 255.199791 46.671268 \nL 257.793856 49.644888 \nL 260.208435 52.791961 \nL 262.43533 56.11165 \nL 264.467562 59.602808 \nL 266.299377 63.263875 \nL 267.926268 67.092875 \nL 269.344963 71.087384 \nL 270.553396 75.244447 \nL 271.55071 79.560528 \nL 272.337175 84.031526 \nL 272.914181 88.652671 \nL 273.28417 93.418544 \nL 273.450582 98.323001 \nL 273.417772 103.35916 \nL 273.190946 108.519393 \nL 272.671103 114.863539 \nL 271.892127 121.358118 \nL 270.866845 127.985415 \nL 269.609049 134.726023 \nL 268.133328 141.558889 \nL 266.156421 149.616823 \nL 263.928048 157.730694 \nL 261.472988 165.859069 \nL 258.815772 173.95802 \nL 255.562125 183.118658 \nL 252.110006 192.108742 \nL 248.491637 200.854095 \nL 244.736764 209.279113 \nL 241.360553 216.328461 \nL 237.916763 223.023825 \nL 234.419859 229.315727 \nL 231.389934 234.351389 \nL 228.337391 239.02672 \nL 225.268397 243.314552 \nL 222.188324 247.189532 \nL 219.616507 250.086491 \nL 217.042586 252.668403 \nL 214.468648 254.924376 \nL 211.896555 256.844841 \nL 209.841345 258.134132 \nL 207.789194 259.199989 \nL 205.740864 260.039572 \nL 203.697094 260.65068 \nL 201.658613 261.03178 \nL 199.626164 261.182023 \nL 197.600517 261.101219 \nL 195.582481 260.789858 \nL 193.572921 260.249102 \nL 191.57278 259.480777 \nL 189.583083 258.487398 \nL 187.60496 257.272087 \nL 185.639659 255.83862 \nL 183.203176 253.746703 \nL 180.79187 251.330599 \nL 178.409115 248.601482 \nL 176.05867 245.571746 \nL 173.744745 242.254963 \nL 171.02279 237.916543 \nL 170.575506 237.1572 \nL 170.575506 237.1572 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482812 273.312 \nL 395.602812 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482812 7.2 \nL 395.602812 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p828dcfea88\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Y\n",
+    "plt.plot(result_np[:,0], result_np[:,2])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file

From 8ba7cbabfbdfbc4a8f6ed7c5579a9def0ffd53ae Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 00:04:02 -0400
Subject: [PATCH 11/73] Trained with Lorenz 63 data

---
 examples/ode/lorenz63/Lorenz63Train.ipynb | 346 ++++++++++++++++++++++
 torchts/nn/models/ode.py                  |  25 +-
 2 files changed, 370 insertions(+), 1 deletion(-)
 create mode 100644 examples/ode/lorenz63/Lorenz63Train.ipynb

diff --git a/examples/ode/lorenz63/Lorenz63Train.ipynb b/examples/ode/lorenz63/Lorenz63Train.ipynb
new file mode 100644
index 00000000..3330247e
--- /dev/null
+++ b/examples/ode/lorenz63/Lorenz63Train.ipynb
@@ -0,0 +1,346 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Lorenz 63 equations\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"sigma\"]*(prev_val[\"y\"]-prev_val[\"x\"])\n",
+    "\n",
+    "def y_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x\"]*(coeffs[\"rho\"]-prev_val[\"z\"])-prev_val[\"y\"]\n",
+    "\n",
+    "def z_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x\"]*prev_val[\"y\"]-coeffs[\"beta\"]*prev_val[\"z\"]\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
+    "\n",
+    "# Initial conditions [1,0,0]\n",
+    "ode_init = {\"x\":1, \"y\":0, \"z\":0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"sigma\": 10., \"rho\": 28., \"beta\": 2.7}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=torch.optim.SGD,\n",
+    "    optimizer_args={\"lr\": 0.01}\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 9.1793e-01,  2.6634e-01,  1.2636e-03],\n",
+       "        [ 8.6792e-01,  5.1173e-01,  4.6540e-03],\n",
+       "        ...,\n",
+       "        [-5.6997e+00, -5.8341e+00,  2.3410e+01],\n",
+       "        [-5.7226e+00, -6.0452e+00,  2.3121e+01],\n",
+       "        [-5.7641e+00, -6.2715e+00,  2.2854e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 5
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "<ipython-input-6-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T23:52:06.661303</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m690cacd3ce\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#m690cacd3ce\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#m690cacd3ce\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#m690cacd3ce\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#m690cacd3ce\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#m690cacd3ce\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#m690cacd3ce\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#m690cacd3ce\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf99ed4adb6\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf99ed4adb6\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf99ed4adb6\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf99ed4adb6\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf99ed4adb6\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf99ed4adb6\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf99ed4adb6\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p2faf9e5884)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p2faf9e5884\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T23:52:07.253348</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#pe0350a0b57)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe0350a0b57\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,0], result_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"sigma\": 1., \"rho\": 1., \"beta\": 1.} # Start with arbitrary values\n",
+    "\n",
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=torch.optim.Adam\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Loss:  tensor(235.4734, grad_fn=<MseLossBackward>)\n",
+      "Loss:  tensor(229.5995, grad_fn=<MseLossBackward>)\n",
+      "Loss:  tensor(241.3257, grad_fn=<MseLossBackward>)\n",
+      "Loss:  tensor(249.6300, grad_fn=<MseLossBackward>)\n",
+      "Loss:  tensor(245.2753, grad_fn=<MseLossBackward>)\n",
+      "Loss:  tensor(238.3391, grad_fn=<MseLossBackward>)\n",
+      "Loss:  tensor(232.0101, grad_fn=<MseLossBackward>)\n",
+      "Loss:  tensor(248.2782, grad_fn=<MseLossBackward>)\n",
+      "Loss:  tensor(234.6457, grad_fn=<MseLossBackward>)\n",
+      "Loss:  tensor(235.9567, grad_fn=<MseLossBackward>)\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver.fit(result)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'sigma': Parameter containing:\n",
+       " tensor(9.9782, requires_grad=True),\n",
+       " 'rho': Parameter containing:\n",
+       " tensor(27.9222, requires_grad=True),\n",
+       " 'beta': Parameter containing:\n",
+       " tensor(2.7742, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 9
+    }
+   ],
+   "source": [
+    "ode_solver.coeffs\n",
+    "\n",
+    "# The coefficients differ by at most 0.1 from the original"
+   ]
+  },
+  {
+   "source": [
+    "# Re-calculate using 4th order Runge-Kutta"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_test = ode_solver(10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 9.0022e-01,  2.7922e-01,  0.0000e+00],\n",
+       "        [ 8.3825e-01,  5.2779e-01,  2.5136e-03],\n",
+       "        ...,\n",
+       "        [-1.2071e+01, -1.2319e+01,  3.1191e+01],\n",
+       "        [-1.2096e+01, -1.1802e+01,  3.1813e+01],\n",
+       "        [-1.2067e+01, -1.1213e+01,  3.2358e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 11
+    }
+   ],
+   "source": [
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "<ipython-input-12-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T23:54:37.640701</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"md798d12692\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.954837\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(26.402494 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"76.847635\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −15 -->\n      <g transform=\"translate(66.295291 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"116.740432\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −10 -->\n      <g transform=\"translate(106.188089 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"156.63323\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −5 -->\n      <g transform=\"translate(149.262136 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"196.526028\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0 -->\n      <g transform=\"translate(193.344778 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"236.418825\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5 -->\n      <g transform=\"translate(233.237575 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"276.311623\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(269.949123 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.20442\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 15 -->\n      <g transform=\"translate(309.84192 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"356.097218\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(349.734718 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf355b48b1d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf355b48b1d\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf355b48b1d\" y=\"216.321598\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.120817)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf355b48b1d\" y=\"171.427197\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.226416)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf355b48b1d\" y=\"126.532795\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 130.332014)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf355b48b1d\" y=\"81.638394\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 85.437613)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf355b48b1d\" y=\"36.743992\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 40.543211)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p9b8cd4cf53)\" d=\"M 204.504587 261.216 \nL 202.926532 261.158603 \nL 203.063565 261.125104 \nL 206.883245 260.687857 \nL 210.714415 260.146654 \nL 214.157568 259.529192 \nL 218.483441 258.570388 \nL 223.885839 257.082035 \nL 227.062963 256.054417 \nL 230.601138 254.776309 \nL 234.536185 253.188369 \nL 238.905844 251.21823 \nL 243.749064 248.778204 \nL 249.104884 245.762935 \nL 255.01077 242.047189 \nL 261.50016 237.484204 \nL 268.599072 231.905223 \nL 276.321377 225.121145 \nL 284.662519 216.927665 \nL 293.59139 207.115749 \nL 303.04012 195.48967 \nL 312.891926 181.895059 \nL 322.967534 166.258956 \nL 333.01152 148.642035 \nL 342.680955 129.299674 \nL 351.540387 108.742389 \nL 359.068238 87.777807 \nL 364.680658 67.508878 \nL 367.777652 49.260235 \nL 367.812273 34.41539 \nL 364.375981 24.175995 \nL 357.28397 19.296 \nL 346.636496 19.879255 \nL 332.832649 25.328206 \nL 316.524871 34.479834 \nL 298.522741 45.88276 \nL 279.673263 58.10812 \nL 260.751561 69.986767 \nL 242.387268 80.718958 \nL 225.034625 89.867658 \nL 208.979164 97.283068 \nL 194.366435 103.007642 \nL 181.238723 107.192944 \nL 169.570128 110.040203 \nL 159.295197 111.76404 \nL 150.329872 112.573357 \nL 142.585329 112.663233 \nL 135.976201 112.212635 \nL 130.424576 111.384737 \nL 125.861095 110.327746 \nL 122.224163 109.175484 \nL 119.458036 108.047182 \nL 117.510412 107.046638 \nL 116.32993 106.261092 \nL 115.863927 105.759904 \nL 116.0567 105.5938 \nL 116.848449 105.794618 \nL 118.174902 106.375972 \nL 119.967684 107.334849 \nL 122.155294 108.653899 \nL 127.42223 112.249695 \nL 133.401326 116.855403 \nL 139.573594 122.128128 \nL 145.516817 127.759075 \nL 148.302197 130.630584 \nL 150.924541 133.506957 \nL 153.363178 136.369244 \nL 155.603458 139.202246 \nL 157.635987 141.99394 \nL 159.455822 144.734933 \nL 161.061664 147.417904 \nL 162.455087 150.037124 \nL 163.639826 152.588037 \nL 164.62115 155.066928 \nL 165.405292 157.470618 \nL 165.998992 159.79625 \nL 166.409095 162.041064 \nL 166.642237 164.202287 \nL 166.704591 166.276964 \nL 166.601676 168.261851 \nL 166.338214 170.153307 \nL 165.918037 171.947189 \nL 165.344023 173.63877 \nL 164.618075 175.222595 \nL 163.741117 176.692396 \nL 162.713125 178.04098 \nL 161.533171 179.260084 \nL 160.199502 180.340254 \nL 158.709624 181.270693 \nL 157.060434 182.039147 \nL 155.248356 182.631736 \nL 153.269535 183.032849 \nL 151.120046 183.22501 \nL 148.796174 183.188815 \nL 146.294737 182.902907 \nL 143.613461 182.344039 \nL 140.75147 181.487241 \nL 137.709812 180.306114 \nL 134.492126 178.773375 \nL 131.105364 176.861608 \nL 127.560645 174.544342 \nL 123.874186 171.797509 \nL 120.068297 168.601311 \nL 116.172432 164.94256 \nL 112.22418 160.81743 \nL 108.270175 156.234645 \nL 104.366762 151.218868 \nL 100.580292 145.814059 \nL 96.986882 140.086454 \nL 93.671459 134.126639 \nL 90.725845 128.050078 \nL 88.245884 121.995514 \nL 86.327425 116.120738 \nL 85.061311 110.595423 \nL 84.52765 105.591163 \nL 84.789725 101.269522 \nL 85.888282 97.769237 \nL 87.836796 95.19445 \nL 90.618483 93.605702 \nL 94.185633 93.015288 \nL 98.461496 93.387844 \nL 103.344637 94.64608 \nL 108.715283 96.680563 \nL 114.442888 99.361821 \nL 120.393998 102.552762 \nL 126.439565 106.119735 \nL 132.461012 109.940907 \nL 138.354636 113.911623 \nL 144.034248 117.946757 \nL 149.432172 121.980709 \nL 154.498878 125.965681 \nL 159.201626 129.869006 \nL 163.522462 133.670158 \nL 167.455896 137.357843 \nL 171.006509 140.927419 \nL 174.186662 144.378741 \nL 177.014419 147.714533 \nL 179.511737 150.93916 \nL 181.702956 154.057769 \nL 183.613575 157.07573 \nL 185.269282 159.998275 \nL 186.69522 162.830309 \nL 187.915458 165.57632 \nL 188.952618 168.240358 \nL 189.827638 170.826045 \nL 191.165928 175.775015 \nL 192.06123 180.445424 \nL 192.616156 184.85558 \nL 192.908024 189.021016 \nL 192.992608 192.955309 \nL 192.907868 196.670519 \nL 192.511216 201.855765 \nL 192.080241 205.067617 \nL 191.514124 208.092377 \nL 190.801956 210.935778 \nL 189.925125 213.601383 \nL 188.857251 216.089869 \nL 187.563652 218.398018 \nL 186.000382 220.517193 \nL 184.112851 222.43111 \nL 183.027095 223.303142 \nL 181.834079 224.112574 \nL 180.523154 224.853528 \nL 179.082626 225.518744 \nL 177.499682 226.099299 \nL 175.76032 226.584293 \nL 173.849295 226.960441 \nL 171.750065 227.211628 \nL 169.444765 227.31836 \nL 166.914227 227.257148 \nL 164.13803 226.999783 \nL 161.09463 226.512527 \nL 157.761591 225.755224 \nL 154.115935 224.680356 \nL 150.134679 223.232061 \nL 145.795593 221.345254 \nL 141.078274 218.944894 \nL 135.965587 215.945656 \nL 130.4456 212.252238 \nL 124.514083 207.760709 \nL 118.177717 202.361385 \nL 111.458043 195.943899 \nL 104.396224 188.405153 \nL 97.058551 179.66094 \nL 89.542418 169.661804 \nL 81.982358 158.413217 \nL 74.555287 145.999267 \nL 67.48373 132.607448 \nL 61.03536 118.550229 \nL 55.516986 104.276668 \nL 51.260921 90.365815 \nL 48.602675 77.494074 \nL 47.850089 66.372201 \nL 49.246681 57.655843 \nL 52.93454 51.844116 \nL 58.924486 49.190362 \nL 67.08149 49.652092 \nL 77.130977 52.8984 \nL 88.686632 58.375489 \nL 101.294368 65.410602 \nL 114.482805 73.323569 \nL 140.895534 89.527316 \nL 153.443445 97.041388 \nL 165.242214 103.879605 \nL 176.160391 109.968292 \nL 186.133533 115.307208 \nL 195.149323 119.941037 \nL 203.233182 123.937569 \nL 216.823271 130.321351 \nL 227.450382 135.025087 \nL 235.713632 138.494529 \nL 242.162089 141.042805 \nL 247.25642 142.877951 \nL 251.362665 144.134775 \nL 254.7599 144.90078 \nL 257.652593 145.234931 \nL 260.183477 145.180805 \nL 262.445207 144.775787 \nL 264.490438 144.057666 \nL 266.340409 143.069213 \nL 267.992449 141.861266 \nL 269.42672 140.494238 \nL 270.612635 139.038009 \nL 271.515079 137.570101 \nL 272.100451 136.172151 \nL 272.342377 134.92497 \nL 272.226653 133.902753 \nL 272.034512 133.495945 \nL 271.754982 133.167292 \nL 271.391107 132.921767 \nL 270.428187 132.693462 \nL 269.192053 132.824244 \nL 267.743712 133.306174 \nL 266.15466 134.112416 \nL 264.501913 135.200953 \nL 262.862877 136.51901 \nL 261.310827 138.007478 \nL 259.911336 139.604669 \nL 258.719893 141.249205 \nL 257.780724 142.881933 \nL 257.12656 144.446936 \nL 256.779082 145.891982 \nL 256.749761 147.168603 \nL 257.040754 148.232059 \nL 257.64565 149.041392 \nL 258.549913 149.559843 \nL 259.730966 149.755669 \nL 261.157894 149.60354 \nL 262.790873 149.086553 \nL 264.58049 148.19886 \nL 266.467212 146.948741 \nL 268.381312 145.361868 \nL 270.243655 143.484181 \nL 271.96769 141.383703 \nL 273.463016 139.150415 \nL 274.640607 136.893433 \nL 275.419519 134.734924 \nL 275.734522 132.800961 \nL 275.703843 131.95586 \nL 275.543629 131.210115 \nL 275.253279 130.575431 \nL 274.834277 130.061646 \nL 274.29023 129.676486 \nL 273.626836 129.425395 \nL 272.851789 129.311465 \nL 271.974614 129.335407 \nL 271.006467 129.495645 \nL 268.848531 130.208227 \nL 266.48956 131.397891 \nL 264.048678 132.991135 \nL 261.643079 134.901464 \nL 259.38014 137.037615 \nL 257.351979 139.309797 \nL 255.6326 141.633604 \nL 254.277371 143.931722 \nL 253.32419 146.134082 \nL 252.795703 148.177016 \nL 252.701801 150.001999 \nL 252.818013 150.815554 \nL 253.041974 151.554355 \nL 253.372283 152.212005 \nL 253.807065 152.782261 \nL 254.343987 153.259011 \nL 254.980236 153.636328 \nL 255.712521 153.908466 \nL 256.537026 154.069929 \nL 257.44937 154.115543 \nL 258.444544 154.040524 \nL 259.516858 153.840614 \nL 261.866242 153.052439 \nL 264.435327 151.732763 \nL 267.146136 149.882315 \nL 269.903116 147.527749 \nL 272.592765 144.728717 \nL 275.085509 141.583511 \nL 277.240736 138.231304 \nL 278.146901 136.531546 \nL 278.915572 134.848717 \nL 279.53058 133.208968 \nL 279.977324 131.639006 \nL 280.243272 130.165386 \nL 280.318449 128.813668 \nL 280.195861 127.607657 \nL 279.871872 126.568571 \nL 279.346482 125.714377 \nL 278.623472 125.059176 \nL 277.710421 124.612824 \nL 276.618591 124.380683 \nL 275.36265 124.363643 \nL 273.960306 124.558279 \nL 272.431798 124.957217 \nL 270.799298 125.54966 \nL 269.086326 126.321985 \nL 267.317079 127.258392 \nL 263.706321 129.553368 \nL 260.152186 132.289009 \nL 256.817785 135.321639 \nL 253.835432 138.520038 \nL 251.30368 141.770182 \nL 249.289002 144.975449 \nL 247.830462 148.054172 \nL 247.315933 149.523725 \nL 246.945739 150.93588 \nL 246.719738 152.282923 \nL 246.637173 153.557386 \nL 246.696793 154.751932 \nL 246.896962 155.859255 \nL 247.23575 156.872035 \nL 247.710971 157.782857 \nL 248.320235 158.584176 \nL 249.060931 159.268277 \nL 249.930216 159.827273 \nL 250.92496 160.253116 \nL 252.041683 160.537628 \nL 253.276448 160.672554 \nL 254.624746 160.649657 \nL 256.081357 160.460861 \nL 257.640183 160.098418 \nL 259.294075 159.555126 \nL 261.034645 158.824631 \nL 262.852049 157.901719 \nL 264.734815 156.782724 \nL 266.669618 155.465994 \nL 268.641134 153.952351 \nL 270.631863 152.245631 \nL 272.622067 150.353241 \nL 274.589703 148.286665 \nL 276.510505 146.061973 \nL 278.35814 143.700189 \nL 280.10447 141.227533 \nL 281.720009 138.675455 \nL 283.17449 136.080417 \nL 284.437575 133.483358 \nL 285.479765 130.928831 \nL 286.273363 128.463787 \nL 286.793572 126.136084 \nL 287.019565 123.992706 \nL 286.93557 122.07789 \nL 286.531786 120.431204 \nL 285.805162 119.085797 \nL 284.759829 118.066972 \nL 283.407301 117.391134 \nL 281.766256 117.065314 \nL 279.862018 117.08727 \nL 277.725685 117.446074 \nL 275.393002 118.123264 \nL 272.903043 119.094206 \nL 270.296818 120.329768 \nL 267.615874 121.797985 \nL 264.900987 123.465615 \nL 262.191007 125.299545 \nL 259.52194 127.267889 \nL 256.926228 129.340793 \nL 254.432304 131.491013 \nL 252.064373 133.694143 \nL 249.842374 135.92869 \nL 247.782149 138.175971 \nL 245.895704 140.419894 \nL 244.191586 142.646667 \nL 242.675313 144.84447 \nL 241.349826 147.00315 \nL 240.215952 149.11386 \nL 239.272835 151.168809 \nL 238.518354 153.160957 \nL 237.949487 155.083822 \nL 237.562636 156.931231 \nL 237.353904 158.697164 \nL 237.319317 160.3756 \nL 237.455012 161.960358 \nL 237.757372 163.44499 \nL 238.223123 164.822654 \nL 238.849385 166.08602 \nL 239.633693 167.227184 \nL 240.573988 168.237558 \nL 241.668565 169.107825 \nL 242.915995 169.827865 \nL 244.315014 170.386699 \nL 245.864378 170.772493 \nL 247.562684 170.972548 \nL 249.408154 170.973362 \nL 251.398385 170.760727 \nL 253.53005 170.319891 \nL 255.798582 169.635833 \nL 258.197774 168.693619 \nL 260.719383 167.478857 \nL 263.352672 165.978349 \nL 266.083927 164.180862 \nL 268.895988 162.078081 \nL 271.767757 159.665733 \nL 274.673744 156.944863 \nL 277.583717 153.92322 \nL 280.462463 150.616714 \nL 283.269701 147.050811 \nL 285.960278 143.261742 \nL 288.48466 139.297372 \nL 290.789783 135.217513 \nL 292.820322 131.093479 \nL 294.520404 127.006736 \nL 295.835725 123.046477 \nL 296.716019 119.306181 \nL 297.117734 115.879212 \nL 297.006727 112.85381 \nL 296.360796 110.307897 \nL 295.1717 108.304189 \nL 293.446523 106.886271 \nL 291.208123 106.076167 \nL 288.494597 105.873551 \nL 285.357695 106.256913 \nL 281.860432 107.186333 \nL 278.073977 108.607505 \nL 274.074204 110.456516 \nL 269.938201 112.664621 \nL 265.741014 115.162649 \nL 261.552867 117.884624 \nL 257.43702 120.77039 \nL 253.448326 123.767184 \nL 249.632447 126.83034 \nL 246.02568 129.923218 \nL 242.65529 133.016644 \nL 239.54019 136.088038 \nL 236.691884 139.120376 \nL 234.115521 142.10114 \nL 231.811018 145.021346 \nL 229.774137 147.874702 \nL 227.997501 150.656874 \nL 226.471511 153.364892 \nL 225.185141 155.996707 \nL 224.126611 158.550832 \nL 223.283952 161.026066 \nL 222.645455 163.421305 \nL 222.200016 165.735393 \nL 221.937412 167.966969 \nL 221.848492 170.114423 \nL 221.925312 172.17576 \nL 222.161216 174.148564 \nL 222.550883 176.029899 \nL 223.090344 177.81622 \nL 223.776963 179.503288 \nL 224.609408 181.086076 \nL 225.587607 182.558643 \nL 226.712681 183.914 \nL 227.986875 185.143988 \nL 229.413465 186.239092 \nL 230.996663 187.188284 \nL 232.741478 187.978848 \nL 234.653591 188.596158 \nL 236.739162 189.023508 \nL 239.004619 189.241905 \nL 241.456397 189.229909 \nL 244.100613 188.963507 \nL 246.942665 188.416045 \nL 249.986742 187.558288 \nL 253.235238 186.358579 \nL 256.688037 184.783283 \nL 260.341679 182.797429 \nL 264.188356 180.365797 \nL 268.21479 177.454393 \nL 272.400974 174.032519 \nL 276.718785 170.07547 \nL 281.13059 165.567902 \nL 285.587865 160.507872 \nL 290.030007 154.911399 \nL 294.383497 148.817361 \nL 298.561661 142.292144 \nL 302.465294 135.433539 \nL 305.98441 128.372849 \nL 309.001418 121.27437 \nL 311.395824 114.331206 \nL 313.050489 107.756813 \nL 313.859206 101.772131 \nL 313.735005 96.589146 \nL 312.618377 92.392523 \nL 310.484318 89.322063 \nL 307.347096 87.458821 \nL 303.261822 86.817612 \nL 298.32226 87.34752 \nL 292.655018 88.940276 \nL 286.410735 91.444984 \nL 279.753553 94.686086 \nL 272.850191 98.481621 \nL 265.859988 102.658668 \nL 258.926936 107.064552 \nL 252.174174 111.57307 \nL 245.701098 116.086418 \nL 239.582721 120.53366 \nL 233.87084 124.86722 \nL 228.596378 129.058388 \nL 223.772447 133.092751 \nL 219.39761 136.966038 \nL 215.459103 140.680696 \nL 211.935769 144.243224 \nL 208.800626 147.662239 \nL 206.022999 150.947132 \nL 203.570255 154.107203 \nL 201.409146 157.151187 \nL 199.506827 160.086961 \nL 197.831584 162.921478 \nL 195.043909 168.310017 \nL 192.829496 173.355311 \nL 191.00532 178.085062 \nL 185.737586 192.382303 \nL 184.133965 195.84906 \nL 182.337663 199.035296 \nL 180.274693 201.925224 \nL 179.119594 203.251112 \nL 177.868895 204.491606 \nL 176.512151 205.640841 \nL 175.038378 206.691623 \nL 173.435968 207.635232 \nL 171.692638 208.461144 \nL 169.795391 209.156723 \nL 167.730492 209.706895 \nL 165.483493 210.093747 \nL 163.039286 210.296089 \nL 160.382215 210.288977 \nL 157.496252 210.043209 \nL 154.365277 209.5248 \nL 150.973459 208.694483 \nL 147.305794 207.507259 \nL 143.348822 205.912106 \nL 139.091578 203.851925 \nL 134.526819 201.263866 \nL 129.652565 198.080217 \nL 124.474037 194.23014 \nL 119.005966 189.6425 \nL 113.275341 184.250147 \nL 107.324558 177.995973 \nL 101.214771 170.841022 \nL 95.029374 162.774735 \nL 88.877114 153.82705 \nL 82.894397 144.081608 \nL 77.246032 133.688423 \nL 72.123521 122.873591 \nL 67.739984 111.942731 \nL 64.320918 101.274471 \nL 62.09034 91.30075 \nL 61.252854 82.472766 \nL 61.972889 75.214571 \nL 64.354017 69.870791 \nL 68.421669 66.658614 \nL 74.113223 65.635584 \nL 81.278127 66.692283 \nL 89.689255 69.572869 \nL 99.063745 73.91835 \nL 109.089727 79.321625 \nL 119.454087 85.381044 \nL 129.866627 91.741844 \nL 149.887914 104.311742 \nL 175.694712 120.730804 \nL 189.417536 129.64804 \nL 200.476112 137.142905 \nL 209.255747 143.491339 \nL 216.220215 148.928636 \nL 221.826027 153.620546 \nL 230.531341 161.120087 \nL 234.257842 163.987606 \nL 236.071857 165.197059 \nL 237.884951 166.251096 \nL 239.717391 167.14355 \nL 241.586754 167.86698 \nL 243.508097 168.412738 \nL 245.494097 168.771071 \nL 247.555102 168.931232 \nL 249.699166 168.881627 \nL 251.932008 168.609977 \nL 254.256914 168.103591 \nL 256.674589 167.349694 \nL 259.182954 166.335852 \nL 261.77689 165.050522 \nL 264.447935 163.483746 \nL 267.183968 161.627945 \nL 269.968858 159.478916 \nL 272.782167 157.036915 \nL 275.59887 154.307875 \nL 278.389162 151.304668 \nL 281.118431 148.048358 \nL 283.74739 144.569318 \nL 286.232465 140.908084 \nL 288.526509 137.115803 \nL 290.579829 133.254086 \nL 292.34159 129.394089 \nL 293.761602 125.614773 \nL 294.792394 122.000198 \nL 295.39156 118.636047 \nL 295.524169 115.605404 \nL 295.165072 112.984257 \nL 294.300924 110.837069 \nL 292.931687 109.212922 \nL 291.071398 108.142693 \nL 288.74815 107.637566 \nL 286.003154 107.689234 \nL 282.888987 108.271428 \nL 279.46716 109.342907 \nL 275.805232 110.851232 \nL 271.973716 112.736909 \nL 268.043041 114.937496 \nL 264.080833 117.391168 \nL 260.149656 120.039613 \nL 256.305326 122.829989 \nL 252.595824 125.716106 \nL 249.060772 128.658842 \nL 245.731435 131.625999 \nL 242.631086 134.591752 \nL 239.775687 137.535866 \nL 237.174751 140.442835 \nL 234.832295 143.300977 \nL 232.747835 146.101637 \nL 230.917336 148.838434 \nL 229.334093 151.506676 \nL 227.989542 154.10287 \nL 226.873952 156.624293 \nL 225.977006 159.0687 \nL 225.288299 161.434089 \nL 224.797726 163.718507 \nL 224.495791 165.91989 \nL 224.373841 168.035952 \nL 224.424233 170.064082 \nL 224.640453 172.001256 \nL 225.017179 173.843921 \nL 225.550325 175.587923 \nL 226.237038 177.228409 \nL 227.075677 178.7597 \nL 228.065774 180.175195 \nL 229.207974 181.467238 \nL 230.503957 182.626958 \nL 231.95633 183.644148 \nL 233.568529 184.507094 \nL 235.344662 185.202413 \nL 237.289357 185.71487 \nL 239.407532 186.027254 \nL 241.704175 186.120222 \nL 244.184026 185.972194 \nL 246.851225 185.559341 \nL 249.708856 184.855614 \nL 252.758446 183.832935 \nL 255.999317 182.461548 \nL 259.427852 180.710626 \nL 263.036642 178.549155 \nL 266.813511 175.947224 \nL 270.740428 172.877731 \nL 274.792337 169.318645 \nL 278.935949 165.255792 \nL 283.128585 160.686203 \nL 287.31712 155.621899 \nL 291.437259 150.093973 \nL 295.413246 144.156516 \nL 299.158286 137.890037 \nL 302.575837 131.403577 \nL 305.562083 124.834827 \nL 308.009607 118.347459 \nL 309.812425 112.12507 \nL 310.872131 106.361552 \nL 311.104813 101.248252 \nL 310.448138 96.959081 \nL 308.867767 93.635432 \nL 306.362217 91.373124 \nL 302.965301 90.213789 \nL 298.74566 90.142117 \nL 293.80317 91.089777 \nL 288.262585 92.945089 \nL 282.265198 95.566715 \nL 275.959656 98.798792 \nL 269.492933 102.485201 \nL 263.002554 106.481022 \nL 256.610624 110.660279 \nL 250.419992 114.919873 \nL 244.512489 119.180203 \nL 238.948907 123.383496 \nL 233.770318 127.490713 \nL 229.000269 131.47786 \nL 224.647434 135.332359 \nL 220.708424 139.049775 \nL 217.170485 142.631151 \nL 214.013958 146.080897 \nL 211.214429 149.405283 \nL 208.744511 152.611363 \nL 206.575309 155.706279 \nL 204.677543 158.696872 \nL 203.022417 161.589421 \nL 201.582234 164.389592 \nL 200.330825 167.102413 \nL 198.29876 172.283164 \nL 196.754643 177.161096 \nL 195.557742 181.759294 \nL 194.173313 188.171933 \nL 191.554059 201.110256 \nL 190.273236 205.86742 \nL 189.26376 208.791103 \nL 188.082545 211.517796 \nL 186.684881 214.043783 \nL 185.019787 216.359382 \nL 183.027733 218.446579 \nL 181.88758 219.395801 \nL 180.638296 220.275586 \nL 179.268985 221.079559 \nL 177.767766 221.799881 \nL 176.121713 222.426957 \nL 174.316787 222.949112 \nL 172.337787 223.352186 \nL 170.16832 223.619079 \nL 167.790798 223.729207 \nL 165.186476 223.657891 \nL 162.335546 223.375648 \nL 159.217316 222.84744 \nL 155.81049 222.031825 \nL 152.093588 220.880107 \nL 148.045563 219.335505 \nL 143.646663 217.332452 \nL 138.879601 214.796151 \nL 133.731105 211.642601 \nL 128.193991 207.779385 \nL 122.26974 203.107614 \nL 115.971792 197.52551 \nL 109.329485 190.934252 \nL 102.392728 183.246709 \nL 95.237167 174.399672 \nL 87.969679 164.369863 \nL 80.733501 153.193479 \nL 73.712193 140.987985 \nL 67.131161 127.973311 \nL 61.255213 114.487822 \nL 56.380297 100.9927 \nL 52.818123 88.057421 \nL 50.872956 76.32061 \nL 50.811598 66.425017 \nL 52.82981 58.933021 \nL 57.020636 54.238584 \nL 63.351691 52.497553 \nL 71.657732 53.598009 \nL 81.652305 57.182108 \nL 92.957306 62.714581 \nL 105.144656 69.577785 \nL 117.781169 77.166508 \nL 142.867564 92.561641 \nL 154.719268 99.704595 \nL 165.839794 106.238503 \nL 176.117165 112.102773 \nL 185.498915 117.298963 \nL 201.58433 125.864759 \nL 219.716041 135.08984 \nL 235.57416 142.907819 \nL 243.511231 146.582813 \nL 247.67484 148.243901 \nL 251.269478 149.346138 \nL 252.919094 149.697801 \nL 254.497064 149.919735 \nL 256.018964 150.013619 \nL 257.497082 149.980857 \nL 258.940704 149.822854 \nL 260.356353 149.541228 \nL 261.747991 149.138034 \nL 263.117244 148.616003 \nL 265.784416 147.23077 \nL 268.330666 145.427768 \nL 270.702512 143.271075 \nL 272.826329 140.849967 \nL 274.615687 138.279454 \nL 275.980177 135.696849 \nL 276.835742 133.253794 \nL 277.050855 132.132967 \nL 277.115683 131.104037 \nL 277.026324 130.184079 \nL 276.781156 129.388386 \nL 276.381009 128.730051 \nL 275.829254 128.219598 \nL 275.131825 127.864733 \nL 274.297146 127.670201 \nL 273.335969 127.63773 \nL 272.261129 127.766122 \nL 271.087259 128.051431 \nL 269.830428 128.487224 \nL 267.137013 129.774257 \nL 264.323186 131.539899 \nL 261.52934 133.681085 \nL 258.883713 136.090024 \nL 256.495402 138.662311 \nL 254.450893 141.301748 \nL 252.813676 143.92214 \nL 251.626178 146.447048 \nL 250.912919 148.808241 \nL 250.684121 150.94363 \nL 250.751506 151.908415 \nL 250.939006 152.795209 \nL 251.24522 153.597135 \nL 251.668327 154.307379 \nL 252.20609 154.919183 \nL 252.855871 155.42586 \nL 253.614612 155.820782 \nL 254.478802 156.097442 \nL 255.444416 156.249494 \nL 256.506853 156.270824 \nL 257.660857 156.155678 \nL 258.900411 155.898773 \nL 260.218646 155.495485 \nL 261.607713 154.942012 \nL 263.058686 154.235621 \nL 264.561437 153.374919 \nL 266.10454 152.360118 \nL 269.259133 149.878898 \nL 272.402587 146.837509 \nL 273.9264 145.133058 \nL 275.392325 143.326426 \nL 276.779596 141.437016 \nL 278.066733 139.487537 \nL 279.231952 137.503824 \nL 280.253613 135.514493 \nL 281.110784 133.550389 \nL 281.783864 131.643887 \nL 282.255215 129.828015 \nL 282.509833 128.135433 \nL 282.536008 126.597343 \nL 282.325872 125.242397 \nL 281.875894 124.095632 \nL 281.187208 123.177566 \nL 280.26578 122.503459 \nL 279.122368 122.082865 \nL 277.772312 121.919467 \nL 276.235115 122.011176 \nL 274.533853 122.350567 \nL 272.694466 122.925474 \nL 270.744925 123.719822 \nL 268.714424 124.714509 \nL 266.632502 125.888358 \nL 264.528262 127.218994 \nL 260.363026 130.259861 \nL 256.419259 133.66163 \nL 252.858565 137.267187 \nL 249.799315 140.944031 \nL 247.318901 144.584063 \nL 246.310274 146.362241 \nL 245.460172 148.099659 \nL 244.769919 149.787677 \nL 244.239724 151.418221 \nL 243.868928 152.98367 \nL 243.656212 154.476685 \nL 243.599784 155.890073 \nL 243.697525 157.216685 \nL 243.947121 158.449301 \nL 244.34615 159.580541 \nL 244.89213 160.602809 \nL 245.582562 161.508193 \nL 246.414905 162.288447 \nL 247.386563 162.934956 \nL 248.494807 163.438713 \nL 249.736686 163.790359 \nL 251.108914 163.980207 \nL 252.607709 163.998335 \nL 254.228632 163.834697 \nL 255.966371 163.479319 \nL 257.814523 162.922506 \nL 259.765343 162.155165 \nL 261.809471 161.169178 \nL 263.93567 159.957858 \nL 266.130532 158.516503 \nL 268.378207 156.843016 \nL 270.660161 154.938604 \nL 272.954981 152.808532 \nL 275.238244 150.462907 \nL 277.482472 147.917397 \nL 279.657239 145.193941 \nL 281.729414 142.321224 \nL 283.663593 139.334946 \nL 285.422759 136.277775 \nL 286.969133 133.198838 \nL 288.265271 130.15279 \nL 289.275359 127.198315 \nL 289.966624 124.396165 \nL 290.310884 121.806779 \nL 290.28601 119.487621 \nL 289.877333 117.49043 \nL 289.078759 115.858644 \nL 287.893551 114.62524 \nL 286.334646 113.811179 \nL 284.424465 113.424683 \nL 282.194244 113.46135 \nL 279.682835 113.905098 \nL 276.935153 114.729845 \nL 274.000344 115.901647 \nL 270.929845 117.38115 \nL 267.775434 119.125992 \nL 264.587483 121.093024 \nL 261.413403 123.240196 \nL 258.29647 125.527987 \nL 255.274961 127.920409 \nL 252.381662 130.385513 \nL 249.643693 132.895599 \nL 247.082594 135.427083 \nL 244.714647 137.960219 \nL 242.55134 140.478653 \nL 240.599927 142.968958 \nL 238.864056 145.420113 \nL 237.344404 147.823059 \nL 236.039291 150.170252 \nL 234.94525 152.455286 \nL 234.057556 154.672562 \nL 233.370681 156.817036 \nL 232.878683 158.883964 \nL 232.575546 160.868713 \nL 232.455435 162.766601 \nL 232.512909 164.572736 \nL 232.743084 166.281905 \nL 233.141731 167.888439 \nL 233.705353 169.386103 \nL 234.431208 170.768014 \nL 235.317316 172.026491 \nL 236.362405 173.152987 \nL 237.565866 174.137971 \nL 238.927643 174.970828 \nL 240.448117 175.639781 \nL 242.12794 176.131798 \nL 243.967848 176.432571 \nL 245.968427 176.526463 \nL 248.129847 176.396564 \nL 250.451524 176.02477 \nL 252.931751 175.391969 \nL 255.567266 174.478348 \nL 258.352757 173.263816 \nL 261.2803 171.728621 \nL 264.338731 169.854187 \nL 267.513001 167.624178 \nL 270.783479 165.025826 \nL 274.12523 162.051545 \nL 277.507369 158.700803 \nL 280.892498 154.982197 \nL 284.236288 150.915672 \nL 287.487355 146.534621 \nL 290.587476 141.887786 \nL 293.472287 137.040552 \nL 296.072538 132.075339 \nL 298.316006 127.090773 \nL 300.130093 122.199269 \nL 301.445049 117.522917 \nL 302.197672 113.187696 \nL 302.335356 109.316242 \nL 301.819964 106.019926 \nL 300.631317 103.390953 \nL 298.769743 101.4956 \nL 296.257352 100.369558 \nL 293.137813 100.015978 \nL 289.474516 100.406704 \nL 285.347286 101.48625 \nL 280.847971 103.17813 \nL 276.075365 105.39228 \nL 271.130044 108.032693 \nL 266.109554 111.004269 \nL 261.10435 114.218278 \nL 256.194772 117.595985 \nL 251.449102 121.070701 \nL 246.922654 124.588274 \nL 242.657778 128.10649 \nL 238.684557 131.593785 \nL 235.021986 135.027596 \nL 231.679452 138.392596 \nL 228.658327 141.67903 \nL 225.95357 144.8813 \nL 223.555238 147.996724 \nL 221.449835 151.024592 \nL 219.621503 153.96547 \nL 218.053022 156.820632 \nL 216.72662 159.591733 \nL 215.624638 162.280509 \nL 214.730023 164.888665 \nL 214.026713 167.417735 \nL 213.499896 169.869018 \nL 213.136198 172.243578 \nL 212.92379 174.542184 \nL 212.852443 176.7653 \nL 212.913543 178.913071 \nL 213.100074 180.985291 \nL 213.406586 182.981386 \nL 213.829135 184.900373 \nL 214.365243 186.740785 \nL 215.013825 188.500638 \nL 215.775141 190.177354 \nL 216.650733 191.767648 \nL 217.643375 193.26744 \nL 218.757028 194.67173 \nL 219.99679 195.974434 \nL 221.368852 197.168231 \nL 222.880457 198.244351 \nL 224.539838 199.192361 \nL 226.356164 199.999909 \nL 228.33946 200.652439 \nL 230.500506 201.132875 \nL 232.850693 201.421291 \nL 235.401851 201.494551 \nL 238.165995 201.325956 \nL 241.155003 200.884901 \nL 244.380196 200.136578 \nL 247.851774 199.041803 \nL 251.578127 197.55697 \nL 255.564923 195.634285 \nL 259.814014 193.222361 \nL 264.322068 190.267329 \nL 269.07893 186.714651 \nL 274.065743 182.511847 \nL 279.252747 177.612294 \nL 284.596914 171.980328 \nL 290.039518 165.597736 \nL 295.503762 158.471548 \nL 300.892882 150.64278 \nL 306.089017 142.195435 \nL 310.953455 133.264498 \nL 315.328798 124.041206 \nL 319.043585 114.773447 \nL 321.919912 105.759099 \nL 323.783989 97.330575 \nL 324.479364 89.830341 \nL 323.881612 83.579062 \nL 321.912744 78.840492 \nL 318.553051 75.789503 \nL 313.848005 74.489925 \nL 307.908492 74.887793 \nL 300.903649 76.821953 \nL 293.047236 80.049782 \nL 284.57952 84.281975 \nL 275.747792 89.21876 \nL 266.788333 94.580711 \nL 257.912146 100.129745 \nL 241.076327 111.095978 \nL 226.187329 121.221819 \nL 213.631803 130.218322 \nL 208.234084 134.298651 \nL 203.390419 138.123703 \nL 199.062756 141.715226 \nL 195.206796 145.094979 \nL 191.774922 148.283145 \nL 188.718416 151.297535 \nL 183.540387 156.862693 \nL 179.311191 161.879678 \nL 170.922287 172.293543 \nL 167.821261 175.619127 \nL 166.23237 177.090272 \nL 164.5929 178.425823 \nL 162.886042 179.618168 \nL 161.096327 180.658204 \nL 159.209494 181.535253 \nL 157.212393 182.236925 \nL 155.092951 182.749014 \nL 152.840189 183.055413 \nL 150.444295 183.138011 \nL 147.896778 182.976685 \nL 145.190697 182.549301 \nL 142.320975 181.831865 \nL 139.284815 180.798765 \nL 136.082221 179.423199 \nL 132.716612 177.677851 \nL 129.195572 175.535835 \nL 125.531688 172.971992 \nL 121.74349 169.964589 \nL 117.856429 166.497477 \nL 113.903878 162.562675 \nL 109.928058 158.163419 \nL 105.980818 153.317487 \nL 102.124063 148.060646 \nL 98.429752 142.449839 \nL 94.979239 136.565721 \nL 91.861754 130.51388 \nL 89.171931 124.424226 \nL 87.006226 118.447859 \nL 85.458285 112.751089 \nL 84.613425 107.506536 \nL 84.542632 102.881853 \nL 85.296557 99.026994 \nL 86.900287 96.061823 \nL 89.349546 94.065668 \nL 92.609029 93.070724 \nL 96.61323 93.060517 \nL 101.269837 93.973599 \nL 106.465379 95.711874 \nL 112.072419 98.152102 \nL 117.95743 101.158444 \nL 123.988457 104.594301 \nL 130.041778 108.331899 \nL 136.007021 112.258926 \nL 141.790514 116.282081 \nL 147.316938 120.327858 \nL 152.529462 124.341482 \nL 157.388734 128.284514 \nL 161.871089 132.131905 \nL 165.966317 135.869007 \nL 169.675262 139.488822 \nL 173.00747 142.989663 \nL 175.979001 146.373321 \nL 178.610514 149.643666 \nL 180.925627 152.805664 \nL 182.949578 155.864676 \nL 184.708147 158.826053 \nL 186.226842 161.694882 \nL 187.530281 164.475838 \nL 188.641767 167.173169 \nL 189.582994 169.790685 \nL 191.032525 174.799535 \nL 192.016094 179.525637 \nL 192.642208 183.988053 \nL 192.993383 188.20288 \nL 193.129846 192.184114 \nL 193.09333 195.944199 \nL 192.769134 201.193701 \nL 192.153401 206.002881 \nL 191.579073 208.97739 \nL 190.86067 211.77337 \nL 189.978647 214.394225 \nL 188.905868 216.840482 \nL 187.60699 219.108746 \nL 186.037436 221.190167 \nL 184.141965 223.068184 \nL 183.051395 223.922854 \nL 181.852872 224.715237 \nL 180.535637 225.43938 \nL 179.087875 226.087934 \nL 177.496642 226.651867 \nL 175.747798 227.120137 \nL 173.825936 227.479292 \nL 171.714342 227.713007 \nL 169.39497 227.801532 \nL 166.848449 227.721058 \nL 164.054149 227.442983 \nL 160.990304 226.933097 \nL 157.634248 226.150668 \nL 153.962783 225.047479 \nL 149.952715 223.566846 \nL 145.581637 221.642709 \nL 140.82902 219.198913 \nL 135.677691 216.148871 \nL 130.115805 212.395912 \nL 124.139403 207.834684 \nL 117.755687 202.354149 \nL 110.987056 195.842801 \nL 103.87597 188.196894 \nL 96.490536 179.332406 \nL 88.93062 169.201332 \nL 81.333924 157.812382 \nL 73.881264 145.255166 \nL 66.7997 131.725355 \nL 60.361877 117.54626 \nL 54.879493 103.179877 \nL 50.689109 89.218948 \nL 48.128972 76.352019 \nL 47.50726 65.297571 \nL 49.064644 56.71178 \nL 52.936868 51.085303 \nL 59.125225 48.65434 \nL 67.48303 49.353297 \nL 77.723577 52.826832 \nL 89.449794 58.500268 \nL 102.199742 65.687218 \nL 115.497899 73.702307 \nL 142.033844 89.974849 \nL 154.602288 97.471863 \nL 166.40106 104.270982 \nL 177.304077 110.306339 \nL 187.251705 115.583723 \nL 196.235617 120.152044 \nL 204.284304 124.081863 \nL 217.802282 130.334564 \nL 228.361892 134.914557 \nL 236.564358 138.269221 \nL 242.956783 140.712421 \nL 247.996071 142.453359 \nL 252.044053 143.628766 \nL 255.375935 144.328665 \nL 258.193068 144.614941 \nL 260.63605 144.534236 \nL 262.796557 144.126846 \nL 264.727541 143.432975 \nL 266.451911 142.496944 \nL 267.970101 141.369823 \nL 269.266765 140.110542 \nL 270.317073 138.785531 \nL 271.092646 137.466695 \nL 271.567125 136.22811 \nL 271.721244 135.14156 \nL 271.54706 134.271516 \nL 271.051017 133.670321 \nL 270.25538 133.374292 \nL 269.198048 133.401359 \nL 267.930656 133.750556 \nL 266.515316 134.403367 \nL 265.020485 135.326451 \nL 263.516524 136.475288 \nL 262.071524 137.798003 \nL 260.747871 139.238878 \nL 259.5997 140.741184 \nL 258.671401 142.249261 \nL 257.997012 143.709823 \nL 257.600285 145.072672 \nL 257.495198 146.291023 \nL 257.686617 147.321683 \nL 258.170934 148.125211 \nL 258.936516 148.66637 \nL 259.96386 148.914832 \nL 261.225485 148.846397 \nL 262.685596 148.444659 \nL 264.299598 147.703255 \nL 266.013826 146.628377 \nL 267.765558 145.241533 \nL 269.483719 143.581884 \nL 271.09066 141.707861 \nL 272.505102 139.697141 \nL 273.646528 137.644513 \nL 274.440811 135.657057 \nL 274.826653 133.846743 \nL 274.852379 133.042068 \nL 274.762099 132.321086 \nL 274.554504 131.694888 \nL 274.230073 131.173072 \nL 273.791159 130.763498 \nL 273.24193 130.472136 \nL 272.588359 130.302941 \nL 271.83811 130.257814 \nL 271.000365 130.336628 \nL 269.1056 130.855978 \nL 267.000052 131.82388 \nL 264.789105 133.181061 \nL 262.579269 134.853632 \nL 260.470829 136.760433 \nL 258.55237 138.819012 \nL 256.897386 140.949803 \nL 255.563001 143.078444 \nL 254.590292 145.13656 \nL 254.005731 147.061566 \nL 253.823098 148.79591 \nL 254.045454 150.286117 \nL 254.306928 150.923892 \nL 254.666717 151.482075 \nL 255.122797 151.954877 \nL 255.672654 152.336707 \nL 256.313282 152.622203 \nL 257.04115 152.80628 \nL 257.852183 152.884177 \nL 258.741715 152.851553 \nL 260.734327 152.439941 \nL 262.967774 151.548832 \nL 265.377817 150.170012 \nL 267.885551 148.315093 \nL 270.396572 146.021385 \nL 272.801669 143.357261 \nL 274.979715 140.425632 \nL 276.803427 137.363734 \nL 278.148225 134.337656 \nL 278.605637 132.895093 \nL 278.903748 131.530677 \nL 279.03313 130.267148 \nL 278.986822 129.125958 \nL 278.760692 128.126605 \nL 278.353666 127.286016 \nL 277.767907 126.618048 \nL 277.008853 126.133052 \nL 276.085165 125.837666 \nL 275.00856 125.734688 \nL 273.793525 125.82316 \nL 272.45693 126.098595 \nL 271.017584 126.553312 \nL 269.495733 127.176907 \nL 266.289475 128.878515 \nL 263.008786 131.085404 \nL 259.815315 133.668754 \nL 256.850321 136.501798 \nL 254.228084 139.467971 \nL 252.033899 142.464465 \nL 250.325725 145.402456 \nL 249.138109 148.205086 \nL 248.745114 149.53418 \nL 248.487114 150.804551 \nL 248.364024 152.008609 \nL 248.375183 153.138984 \nL 248.519437 154.188414 \nL 248.795231 155.14968 \nL 249.200662 156.015571 \nL 249.733513 156.778837 \nL 250.391264 157.432154 \nL 251.17109 157.96815 \nL 252.06981 158.379376 \nL 253.083839 158.658382 \nL 254.209118 158.797735 \nL 255.441003 158.790148 \nL 256.774155 158.628583 \nL 258.202412 158.306403 \nL 259.718628 157.81758 \nL 261.31454 157.156958 \nL 262.98058 156.320506 \nL 264.705726 155.305662 \nL 266.477363 154.111733 \nL 268.281132 152.740269 \nL 270.100835 151.195508 \nL 271.918361 149.484815 \nL 273.713708 147.619107 \nL 275.465021 145.613207 \nL 277.148767 143.486142 \nL 278.740003 141.261288 \nL 280.212745 138.966372 \nL 281.540453 136.633265 \nL 282.696656 134.297513 \nL 283.655695 131.997604 \nL 284.393519 129.774009 \nL 284.888588 127.667957 \nL 285.122753 125.720011 \nL 285.082137 123.968558 \nL 284.757889 122.448279 \nL 284.146799 121.188741 \nL 283.251728 120.213158 \nL 282.081761 119.537534 \nL 280.652078 119.170185 \nL 278.983581 119.111666 \nL 277.10223 119.355161 \nL 275.038174 119.887253 \nL 272.824716 120.688966 \nL 270.49717 121.736991 \nL 268.091723 123.005049 \nL 265.644335 124.465148 \nL 263.189727 126.088756 \nL 260.760563 127.847804 \nL 258.386769 129.715456 \nL 256.09508 131.666673 \nL 253.908755 133.678533 \nL 251.84748 135.730407 \nL 249.927404 137.803963 \nL 248.161314 139.883042 \nL 246.558885 141.953498 \nL 245.12701 144.002949 \nL 243.870161 146.020537 \nL 242.790744 147.996655 \nL 241.889495 149.922723 \nL 241.165812 151.790923 \nL 240.618089 153.59401 \nL 240.244007 155.325126 \nL 240.040779 156.977599 \nL 240.005367 158.544829 \nL 240.134655 160.020127 \nL 240.425575 161.396626 \nL 240.875207 162.667142 \nL 241.48083 163.824097 \nL 242.23994 164.859449 \nL 243.150255 165.764619 \nL 244.209657 166.53041 \nL 245.416116 167.147001 \nL 246.767587 167.603918 \nL 248.26187 167.890049 \nL 249.896439 167.993694 \nL 251.668236 167.902653 \nL 253.573429 167.604372 \nL 255.607145 167.086144 \nL 257.763159 166.335432 \nL 260.033558 165.340231 \nL 262.408379 164.089599 \nL 264.875223 162.574243 \nL 267.418863 160.787289 \nL 270.020865 158.725147 \nL 272.659237 156.388504 \nL 275.308109 153.783422 \nL 277.937571 150.922428 \nL 280.51358 147.825619 \nL 282.998084 144.521657 \nL 285.349371 141.048456 \nL 287.522699 137.453576 \nL 289.471213 133.794012 \nL 291.147229 130.135373 \nL 292.503805 126.550307 \nL 293.496628 123.116093 \nL 294.086078 119.911546 \nL 294.239368 117.01332 \nL 293.932644 114.491932 \nL 293.152757 112.407784 \nL 291.898665 110.807733 \nL 290.182148 109.722467 \nL 288.027842 109.165123 \nL 285.472491 109.131111 \nL 282.563453 109.599435 \nL 279.356594 110.535072 \nL 275.913751 111.892125 \nL 272.299973 113.617554 \nL 268.580788 115.654709 \nL 264.819677 117.946679 \nL 261.075977 120.438962 \nL 257.403202 123.08143 \nL 253.847967 125.829556 \nL 250.449378 128.645013 \nL 247.238893 131.495671 \nL 244.240572 134.35527 \nL 241.471608 137.202785 \nL 238.943052 140.021693 \nL 236.660641 142.799207 \nL 234.625701 145.525523 \nL 232.836008 148.193183 \nL 231.286613 150.796441 \nL 229.970608 153.330837 \nL 228.879781 155.792756 \nL 228.005199 158.179141 \nL 227.337676 160.487218 \nL 226.868175 162.714315 \nL 226.588119 164.857693 \nL 226.489626 166.914406 \nL 226.565695 168.881199 \nL 226.810323 170.754382 \nL 227.218585 172.529742 \nL 227.786674 174.202442 \nL 228.511919 175.766914 \nL 229.392746 177.216746 \nL 230.428659 178.544565 \nL 231.620151 179.741902 \nL 232.968643 180.799064 \nL 234.476348 181.705005 \nL 236.146159 182.447162 \nL 237.981471 183.011331 \nL 239.986002 183.381515 \nL 242.163546 183.539843 \nL 244.51769 183.466476 \nL 247.051477 183.139586 \nL 249.767004 182.535446 \nL 252.664928 181.628581 \nL 255.743904 180.392137 \nL 258.999909 178.798405 \nL 262.425484 176.819641 \nL 266.008857 174.429197 \nL 269.733003 171.603045 \nL 273.574586 168.321731 \nL 277.502948 164.572805 \nL 281.479049 160.353679 \nL 285.454595 155.674904 \nL 289.371392 150.563624 \nL 293.161089 145.066995 \nL 296.745504 139.255131 \nL 300.03772 133.223036 \nL 302.94411 127.090918 \nL 305.367453 121.002232 \nL 307.211139 115.118978 \nL 308.384363 109.613975 \nL 308.808075 104.66039 \nL 308.421114 100.419326 \nL 307.185961 97.026848 \nL 305.093333 94.582218 \nL 302.164878 93.139365 \nL 298.453522 92.702861 \nL 294.041124 93.229447 \nL 289.033707 94.634555 \nL 283.554732 96.802842 \nL 277.737296 99.600744 \nL 271.716176 102.888994 \nL 265.620534 106.533513 \nL 259.568039 110.413513 \nL 253.660677 114.426323 \nL 247.982374 118.489338 \nL 242.598245 122.539628 \nL 237.55518 126.531939 \nL 232.883373 130.435863 \nL 228.598437 134.232785 \nL 224.703793 137.912918 \nL 221.193105 141.472775 \nL 218.052563 144.913068 \nL 215.26295 148.237137 \nL 212.801418 151.44975 \nL 210.642963 154.556329 \nL 208.761619 157.562413 \nL 207.131387 160.473337 \nL 205.726933 163.29406 \nL 204.524096 166.029102 \nL 203.50023 168.682513 \nL 201.907566 173.758582 \nL 200.803773 178.546972 \nL 200.072833 183.06782 \nL 199.625438 187.338024 \nL 199.39531 191.372267 \nL 199.358625 197.00944 \nL 199.611164 202.183777 \nL 200.112952 206.928855 \nL 200.866639 211.272635 \nL 201.526234 213.9563 \nL 202.332981 216.475192 \nL 203.312768 218.830879 \nL 204.498872 221.021605 \nL 205.933023 223.040992 \nL 207.666834 224.876113 \nL 209.763602 226.5047 \nL 210.971589 227.231046 \nL 212.300443 227.891004 \nL 213.762355 228.477017 \nL 215.370696 228.979793 \nL 217.140079 229.387964 \nL 219.086431 229.68766 \nL 221.22705 229.862027 \nL 223.580629 229.89064 \nL 226.167251 229.74884 \nL 229.008327 229.406951 \nL 232.126466 228.829413 \nL 235.545234 227.973814 \nL 239.288776 226.789861 \nL 243.381252 225.218326 \nL 247.846007 223.190068 \nL 252.70443 220.625262 \nL 257.974383 217.433041 \nL 263.668117 213.511854 \nL 269.789538 208.751003 \nL 276.330729 203.033866 \nL 283.267616 196.243593 \nL 290.554796 188.272042 \nL 298.119551 179.032806 \nL 305.855339 168.478964 \nL 313.615331 156.625509 \nL 321.206923 143.575513 \nL 328.388643 129.546972 \nL 334.871314 114.895212 \nL 340.325666 100.123014 \nL 344.398522 85.869131 \nL 346.738548 72.866702 \nL 347.031081 61.868118 \nL 345.03848 53.542846 \nL 340.639291 48.366779 \nL 333.85768 46.532069 \nL 324.874283 47.906436 \nL 314.013454 52.058634 \nL 301.707831 58.344679 \nL 288.447605 66.02816 \nL 247.620139 90.969176 \nL 234.892204 98.447386 \nL 223.000789 105.149333 \nL 212.057525 111.03227 \nL 202.108505 116.120652 \nL 193.150505 120.477316 \nL 185.145873 124.18264 \nL 178.034918 127.320884 \nL 166.200127 132.208843 \nL 157.031794 135.678576 \nL 149.948412 138.121288 \nL 144.455235 139.806095 \nL 140.155937 140.915046 \nL 136.745652 141.57261 \nL 133.997445 141.867089 \nL 131.747711 141.865111 \nL 129.882789 141.621205 \nL 128.327406 141.183947 \nL 127.034965 140.599716 \nL 125.979505 139.914725 \nL 125.148928 139.17571 \nL 124.539314 138.429536 \nL 124.150216 137.722016 \nL 123.980734 137.096168 \nL 124.026486 136.590151 \nL 124.277475 136.23526 \nL 124.716785 136.05424 \nL 125.320327 136.060166 \nL 126.057284 136.255974 \nL 127.332422 136.888201 \nL 128.689082 137.870934 \nL 129.987496 139.111608 \nL 131.098836 140.497243 \nL 131.916539 141.90647 \nL 132.363412 143.219004 \nL 132.431916 143.984376 \nL 132.310089 144.626424 \nL 131.9994 145.11821 \nL 131.507672 145.436674 \nL 130.848958 145.563397 \nL 130.043391 145.48544 \nL 129.117032 145.196372 \nL 128.101679 144.697291 \nL 126.494175 143.578664 \nL 124.914496 142.08475 \nL 123.520103 140.338838 \nL 122.771505 139.116497 \nL 122.217809 137.914279 \nL 121.894543 136.792904 \nL 121.827417 135.811789 \nL 122.0298 135.024753 \nL 122.500946 134.475887 \nL 123.225257 134.196213 \nL 124.172852 134.201556 \nL 125.301328 134.49196 \nL 126.558569 135.052489 \nL 127.8863 135.855272 \nL 129.223824 136.862323 \nL 130.511646 138.02862 \nL 131.694548 139.305036 \nL 132.723928 140.640835 \nL 133.559299 141.985617 \nL 134.169088 143.290616 \nL 134.530806 144.509549 \nL 134.630848 145.599155 \nL 134.464064 146.519533 \nL 134.033329 147.234495 \nL 133.349205 147.712092 \nL 132.429777 147.925377 \nL 131.300709 147.853517 \nL 129.995378 147.483299 \nL 128.555088 146.810972 \nL 127.029122 145.844338 \nL 125.474446 144.60482 \nL 123.954795 143.129213 \nL 122.538953 141.470651 \nL 121.297971 139.698194 \nL 120.301382 137.894696 \nL 119.612422 136.152585 \nL 119.282742 134.567647 \nL 119.347159 133.231454 \nL 119.532323 132.682091 \nL 119.819271 132.223246 \nL 120.205943 131.861719 \nL 120.688723 131.602742 \nL 121.262498 131.449877 \nL 121.920726 131.404998 \nL 123.458098 131.638261 \nL 125.225619 132.284959 \nL 127.136119 133.305463 \nL 129.097203 134.64354 \nL 131.017861 136.232375 \nL 132.813957 138.00014 \nL 134.412239 139.874419 \nL 135.75262 141.785236 \nL 136.788962 143.666725 \nL 137.488674 145.45773 \nL 137.831594 147.101735 \nL 137.808558 148.546447 \nL 137.420056 149.743321 \nL 137.091292 150.234619 \nL 136.675228 150.647361 \nL 136.174266 150.97652 \nL 135.591325 151.217335 \nL 134.193809 151.416603 \nL 132.516923 151.21474 \nL 130.604733 150.589998 \nL 128.512372 149.532673 \nL 126.307177 148.049232 \nL 124.069302 146.166818 \nL 121.891226 143.937519 \nL 119.87573 141.441357 \nL 118.131683 138.786799 \nL 116.767558 136.107561 \nL 115.882691 133.55485 \nL 115.646045 132.375015 \nL 115.55718 131.28504 \nL 115.621438 130.302736 \nL 115.841785 129.444242 \nL 116.218618 128.723569 \nL 116.749655 128.152199 \nL 117.429925 127.738781 \nL 118.251798 127.488949 \nL 119.205153 127.405229 \nL 120.277604 127.487108 \nL 121.454784 127.731177 \nL 122.720723 128.1314 \nL 125.44936 129.365086 \nL 128.319066 131.101066 \nL 131.185684 133.234673 \nL 133.916315 135.655422 \nL 136.397067 138.255811 \nL 138.537069 140.936616 \nL 140.269162 143.609088 \nL 141.548108 146.19475 \nL 142.347371 148.623881 \nL 142.655354 150.833322 \nL 142.624702 151.837188 \nL 142.471899 152.764331 \nL 142.198258 153.607788 \nL 141.805518 154.360666 \nL 141.29581 155.016124 \nL 140.671664 155.567371 \nL 139.936008 156.007651 \nL 139.092206 156.330302 \nL 138.144108 156.528773 \nL 137.096105 156.59672 \nL 135.953226 156.528097 \nL 134.721216 156.317261 \nL 133.40666 155.959159 \nL 132.017083 155.449493 \nL 130.561088 154.784959 \nL 129.048445 153.963492 \nL 127.490231 152.984552 \nL 125.898919 151.849433 \nL 124.288447 150.561603 \nL 122.67427 149.127013 \nL 121.073355 147.554423 \nL 119.504131 145.855675 \nL 117.986367 144.045917 \nL 116.540979 142.143749 \nL 115.189759 140.171227 \nL 113.954995 138.153733 \nL 112.859025 136.119704 \nL 111.923687 134.100111 \nL 111.169709 132.127804 \nL 110.616029 130.236664 \nL 110.279128 128.460567 \nL 110.172328 126.832301 \nL 110.305173 125.382392 \nL 110.682881 124.137967 \nL 111.305963 123.12177 \nL 112.169966 122.351304 \nL 113.265441 121.838273 \nL 114.578122 121.588304 \nL 116.089266 121.600986 \nL 117.776238 121.870196 \nL 119.613213 122.384708 \nL 121.571977 123.128963 \nL 123.622824 124.084029 \nL 125.735418 125.228542 \nL 127.879657 126.539689 \nL 130.026423 127.99405 \nL 134.219718 131.240154 \nL 138.123206 134.79239 \nL 141.587663 138.499084 \nL 144.508395 142.234952 \nL 145.743343 144.081436 \nL 146.820929 145.898969 \nL 147.738101 147.677883 \nL 148.493285 149.40935 \nL 149.086105 151.085201 \nL 149.517133 152.697745 \nL 149.787654 154.23962 \nL 149.899471 155.703667 \nL 149.854727 157.082778 \nL 149.655787 158.369803 \nL 149.305118 159.557455 \nL 148.805233 160.638225 \nL 148.158639 161.604286 \nL 147.367849 162.447486 \nL 146.435392 163.159262 \nL 145.363869 163.730641 \nL 144.156048 164.152254 \nL 142.814959 164.414339 \nL 141.344051 164.506827 \nL 139.747348 164.419434 \nL 138.029662 164.141824 \nL 136.196804 163.663799 \nL 134.255841 162.975596 \nL 132.215357 162.068234 \nL 130.085742 160.933946 \nL 127.879498 159.566712 \nL 125.611499 157.96285 \nL 123.299292 156.121743 \nL 120.96333 154.046578 \nL 118.627132 151.745171 \nL 116.317383 149.230753 \nL 114.063917 146.522736 \nL 111.899529 143.647347 \nL 109.859623 140.638026 \nL 107.981652 137.535541 \nL 106.304305 134.387689 \nL 104.866495 131.248562 \nL 103.7061 128.177194 \nL 102.858524 125.23576 \nL 102.355132 122.48724 \nL 102.221663 119.992705 \nL 102.47673 117.808482 \nL 103.130499 115.983303 \nL 104.183699 114.555829 \nL 105.627086 113.552733 \nL 107.441424 112.987597 \nL 109.597975 112.860643 \nL 112.05956 113.159455 \nL 114.782026 113.860433 \nL 117.716082 114.930953 \nL 120.809309 116.331831 \nL 124.00821 118.019867 \nL 127.260129 119.950345 \nL 130.514963 122.079114 \nL 133.726536 124.364294 \nL 136.853604 126.76742 \nL 139.860504 129.254179 \nL 142.717447 131.794697 \nL 145.400499 134.363507 \nL 147.891322 136.93927 \nL 150.176726 139.504363 \nL 152.248106 142.044359 \nL 154.100797 144.547517 \nL 155.733426 147.004272 \nL 157.147245 149.406764 \nL 158.345521 151.748425 \nL 159.332983 154.023638 \nL 160.115316 156.227401 \nL 160.698732 158.355126 \nL 161.089612 160.402385 \nL 161.294209 162.36476 \nL 161.318413 164.237677 \nL 161.167573 166.016274 \nL 160.846369 167.695285 \nL 160.358723 169.268928 \nL 159.707762 170.730774 \nL 158.895804 172.073672 \nL 157.924373 173.289608 \nL 156.794266 174.369624 \nL 155.505618 175.303694 \nL 154.058024 176.080643 \nL 152.450672 176.688037 \nL 150.682523 177.112125 \nL 148.752514 177.337783 \nL 146.659814 177.348496 \nL 144.404119 177.126408 \nL 141.985999 176.652432 \nL 139.407308 175.906481 \nL 136.671655 174.867798 \nL 133.784939 173.515447 \nL 130.755938 171.829029 \nL 127.596985 169.789614 \nL 124.324674 167.380931 \nL 120.960591 164.590855 \nL 117.532052 161.413187 \nL 114.072781 157.849716 \nL 110.62347 153.912448 \nL 107.23214 149.625975 \nL 103.954182 145.029652 \nL 100.851999 140.179465 \nL 97.994102 135.149156 \nL 95.453588 130.030272 \nL 93.305879 124.930757 \nL 91.625786 119.97182 \nL 90.483896 115.282941 \nL 89.942489 110.995107 \nL 90.051335 107.232813 \nL 90.843631 104.105495 \nL 92.33268 101.699484 \nL 94.509615 100.071517 \nL 97.342639 99.244869 \nL 100.777934 99.208631 \nL 104.742249 99.920261 \nL 109.146886 101.311035 \nL 113.892738 103.29337 \nL 118.875762 105.769083 \nL 123.99233 108.637185 \nL 129.144013 111.800621 \nL 134.241388 115.171195 \nL 139.206732 118.672644 \nL 143.975533 122.241904 \nL 148.496975 125.829051 \nL 152.733546 129.396213 \nL 156.660033 132.915927 \nL 160.262078 136.369279 \nL 163.534557 139.744048 \nL 166.479862 143.033052 \nL 169.106273 146.232718 \nL 171.426433 149.34196 \nL 173.456032 152.361291 \nL 175.212657 155.292184 \nL 176.714847 158.136617 \nL 177.981343 160.896757 \nL 179.030484 163.574753 \nL 179.879761 166.172634 \nL 180.545492 168.692198 \nL 181.0426 171.135013 \nL 181.384468 173.502354 \nL 181.582865 175.795223 \nL 181.647912 178.014332 \nL 181.588097 180.160081 \nL 181.4103 182.232567 \nL 181.119851 184.231531 \nL 180.720579 186.15634 \nL 180.214883 188.005949 \nL 179.603792 189.778835 \nL 178.887019 191.472938 \nL 178.063029 193.085572 \nL 177.129075 194.613344 \nL 176.081249 196.052019 \nL 174.914519 197.396398 \nL 173.622763 198.640159 \nL 172.198806 199.775668 \nL 170.63445 200.793774 \nL 168.920523 201.683561 \nL 167.046923 202.432085 \nL 165.002695 203.024053 \nL 162.776127 203.441487 \nL 160.35488 203.663365 \nL 157.726179 203.665223 \nL 154.877066 203.418757 \nL 151.794727 202.891452 \nL 148.466958 202.046252 \nL 144.882737 200.84135 \nL 141.03299 199.230132 \nL 136.911546 197.161419 \nL 132.516344 194.580116 \nL 127.850918 191.428432 \nL 122.926157 187.647891 \nL 117.762405 183.182341 \nL 112.391835 177.982204 \nL 106.861044 172.010204 \nL 101.233733 165.248582 \nL 95.593251 157.707829 \nL 90.044654 149.436375 \nL 84.715811 140.530536 \nL 79.756946 131.143059 \nL 75.338005 121.488409 \nL 71.643138 111.842203 \nL 68.861953 102.532365 \nL 67.177378 93.920252 \nL 66.750821 86.371758 \nL 67.705911 80.220733 \nL 70.1131 75.730197 \nL 73.977631 73.058683 \nL 79.233512 72.239382 \nL 85.745249 73.177708 \nL 93.317734 75.668252 \nL 101.712822 79.427292 \nL 110.67003 84.133032 \nL 119.927737 89.464807 \nL 129.241872 95.134116 \nL 147.228529 106.595474 \nL 163.417813 117.304922 \nL 177.232431 126.803821 \nL 183.20854 131.085053 \nL 188.586667 135.076251 \nL 193.401795 138.80133 \nL 197.697613 142.285294 \nL 201.522902 145.551991 \nL 204.928746 148.622811 \nL 210.686144 154.247181 \nL 215.359966 159.268328 \nL 224.452217 169.526287 \nL 227.728806 172.735099 \nL 229.390513 174.136601 \nL 231.094388 175.394829 \nL 232.857998 176.502007 \nL 234.697244 177.448879 \nL 236.626504 178.224646 \nL 238.658709 178.816909 \nL 240.805376 179.211609 \nL 243.076593 179.392989 \nL 245.480925 179.343598 \nL 248.025251 179.044332 \nL 250.714531 178.474598 \nL 253.551473 177.612551 \nL 256.536136 176.435482 \nL 259.665415 174.920418 \nL 262.932453 173.044914 \nL 266.32596 170.788154 \nL 269.829477 168.132362 \nL 273.420573 165.064522 \nL 277.070067 161.578512 \nL 280.741293 157.67749 \nL 284.389502 153.376546 \nL 287.96153 148.705417 \nL 291.39579 143.71103 \nL 294.622828 138.459558 \nL 297.566456 133.037495 \nL 300.145699 127.551424 \nL 302.277559 122.125893 \nL 303.880612 116.899228 \nL 304.879324 112.017023 \nL 305.208837 107.623762 \nL 304.81983 103.853111 \nL 303.682992 100.817913 \nL 301.792496 98.601331 \nL 299.168003 97.250289 \nL 295.854854 96.772461 \nL 291.922177 97.137173 \nL 287.459179 98.280101 \nL 282.569898 100.110992 \nL 277.367098 102.523032 \nL 271.965932 105.402539 \nL 266.478048 108.63751 \nL 261.006651 112.124437 \nL 255.642865 115.772741 \nL 250.463409 119.507016 \nL 245.529634 123.267392 \nL 240.887628 127.008535 \nL 236.56917 130.697803 \nL 232.593256 134.313029 \nL 228.96792 137.840278 \nL 225.692184 141.271786 \nL 222.757967 144.604178 \nL 220.151847 147.837077 \nL 217.856635 150.972007 \nL 215.85271 154.01159 \nL 214.119139 156.959001 \nL 212.634565 159.81758 \nL 211.377915 162.590615 \nL 210.328921 165.281207 \nL 209.468504 167.892181 \nL 208.779028 170.426079 \nL 208.244472 172.885155 \nL 207.850508 175.271386 \nL 207.43565 179.831899 \nL 207.453856 184.118346 \nL 207.85003 188.13763 \nL 208.592171 191.892705 \nL 209.668909 195.381828 \nL 211.087434 198.597357 \nL 211.931805 200.098066 \nL 212.87199 201.523828 \nL 213.913541 202.87102 \nL 215.062996 204.135135 \nL 216.327875 205.310598 \nL 217.716687 206.390598 \nL 219.238933 207.36687 \nL 220.905102 208.229439 \nL 222.726667 208.966348 \nL 224.716059 209.563304 \nL 226.886625 210.003318 \nL 229.252559 210.266277 \nL 231.82877 210.328474 \nL 234.630711 210.162109 \nL 237.674126 209.734781 \nL 240.974675 209.008953 \nL 244.547441 207.941502 \nL 248.406269 206.483356 \nL 252.562885 204.579346 \nL 257.025749 202.168394 \nL 261.798629 199.184201 \nL 266.878773 195.55667 \nL 272.254745 191.214359 \nL 277.903765 186.088239 \nL 283.788737 180.117156 \nL 289.85491 173.255262 \nL 296.026398 165.481571 \nL 302.202923 156.811521 \nL 308.257149 147.309951 \nL 314.033367 137.104175 \nL 319.348285 126.394984 \nL 323.99494 115.462506 \nL 327.750511 104.663301 \nL 330.388685 94.415172 \nL 331.696389 85.167742 \nL 331.493839 77.359482 \nL 329.655685 71.366409 \nL 326.129729 67.451387 \nL 320.949657 65.725649 \nL 314.23836 66.13273 \nL 306.200138 68.460203 \nL 297.102638 72.376594 \nL 287.25147 77.48409 \nL 276.962294 83.373928 \nL 266.535008 89.672663 \nL 246.27501 102.341977 \nL 212.391761 123.925178 \nL 199.603314 132.330437 \nL 189.365401 139.406729 \nL 181.252856 145.423264 \nL 174.797383 150.592635 \nL 167.266721 157.053013 \nL 161.228589 162.153307 \nL 157.558022 164.819109 \nL 155.746909 165.923581 \nL 153.922702 166.868594 \nL 152.066975 167.647101 \nL 150.163871 168.250847 \nL 148.199964 168.670422 \nL 146.164159 168.895388 \nL 144.047666 168.914414 \nL 141.844008 168.715412 \nL 139.549108 168.285801 \nL 137.161409 167.612798 \nL 134.682071 166.683815 \nL 132.115208 165.486957 \nL 129.468177 164.011676 \nL 126.75189 162.249545 \nL 123.981145 160.195179 \nL 121.174965 157.847267 \nL 118.356885 155.2098 \nL 115.555149 152.293293 \nL 112.802825 149.116044 \nL 110.13773 145.705327 \nL 107.602102 142.09834 \nL 105.24202 138.342802 \nL 103.106485 134.497012 \nL 101.24612 130.629189 \nL 99.711532 126.816006 \nL 98.551274 123.140215 \nL 97.80963 119.687369 \nL 97.524173 116.541828 \nL 97.723413 113.782339 \nL 98.424669 111.477491 \nL 99.632369 109.681639 \nL 101.337032 108.431709 \nL 103.515017 107.745287 \nL 106.129192 107.620217 \nL 109.130412 108.035742 \nL 112.459753 108.955058 \nL 116.05129 110.328911 \nL 119.835144 112.099656 \nL 123.740573 114.205382 \nL 127.698793 116.583753 \nL 131.645432 119.175083 \nL 135.522366 121.924639 \nL 139.279036 124.784023 \nL 142.873118 127.711842 \nL 146.270696 130.673724 \nL 149.445993 133.641875 \nL 152.380787 136.594364 \nL 155.063588 139.514254 \nL 157.488719 142.388734 \nL 159.655318 145.208258 \nL 161.566377 147.965777 \nL 163.227825 150.656121 \nL 164.647702 153.275443 \nL 165.83543 155.820816 \nL 166.801188 158.289868 \nL 167.555395 160.680535 \nL 168.108282 162.990855 \nL 168.469566 165.218818 \nL 168.648188 167.362213 \nL 168.652123 169.418548 \nL 168.488259 171.384939 \nL 168.162299 173.258002 \nL 167.678726 175.033791 \nL 167.040786 176.70768 \nL 166.250504 178.274259 \nL 165.308718 179.727243 \nL 164.215131 181.059309 \nL 162.96839 182.261998 \nL 161.566171 183.325539 \nL 160.005291 184.238724 \nL 158.281845 184.988708 \nL 156.391357 185.560865 \nL 154.328978 185.938628 \nL 152.089718 186.103344 \nL 149.66873 186.034156 \nL 147.061646 185.707959 \nL 144.265 185.099401 \nL 141.276719 184.181018 \nL 138.096712 182.923552 \nL 134.727588 181.29645 \nL 131.175458 179.268655 \nL 127.450878 176.809759 \nL 123.569912 173.891573 \nL 119.555256 170.490207 \nL 115.437461 166.588681 \nL 111.256109 162.1801 \nL 107.060908 157.271325 \nL 102.912548 151.886973 \nL 98.883139 146.073439 \nL 95.056051 139.902557 \nL 91.524906 133.47417 \nL 88.391519 126.916997 \nL 85.762597 120.3869 \nL 83.745138 114.061953 \nL 82.44063 108.133958 \nL 81.938295 102.796497 \nL 82.308006 98.230573 \nL 83.593568 94.589342 \nL 85.807254 91.984226 \nL 88.926534 90.474582 \nL 92.893588 90.063047 \nL 97.617908 90.697338 \nL 102.981866 92.278277 \nL 108.848501 94.672368 \nL 115.070558 97.726833 \nL 121.499677 101.284336 \nL 127.994659 105.195436 \nL 134.428047 109.327613 \nL 140.690637 113.570356 \nL 146.693875 117.836723 \nL 152.370405 122.062322 \nL 157.673107 126.202549 \nL 162.573143 130.229034 \nL 167.057416 134.125937 \nL 171.125773 137.886552 \nL 174.788266 141.510426 \nL 178.06259 145.001078 \nL 180.971846 148.364313 \nL 183.542633 151.607008 \nL 185.803488 154.73633 \nL 187.783657 157.75924 \nL 189.512154 160.682213 \nL 191.017066 163.511096 \nL 192.32507 166.251121 \nL 194.448266 171.482471 \nL 196.058197 176.406856 \nL 197.300283 181.048245 \nL 198.722546 187.520834 \nL 201.730213 202.235441 \nL 202.585876 205.389313 \nL 203.56517 208.345458 \nL 204.708204 211.105213 \nL 206.058641 213.665815 \nL 207.666004 216.018908 \nL 209.587938 218.148354 \nL 210.687679 219.121269 \nL 211.892545 220.027008 \nL 213.213075 220.85971 \nL 214.660759 221.612139 \nL 216.248111 222.275428 \nL 217.988736 222.838761 \nL 219.897383 223.289004 \nL 221.98999 223.610272 \nL 224.283692 223.783415 \nL 226.796805 223.785427 \nL 229.548756 223.588801 \nL 232.559944 223.160753 \nL 235.851494 222.462438 \nL 239.444911 221.448082 \nL 243.361533 220.064129 \nL 247.621783 218.24848 \nL 252.244127 215.929913 \nL 257.243673 213.027907 \nL 262.630325 209.453073 \nL 268.406414 205.10859 \nL 274.563673 199.893083 \nL 281.079557 193.705494 \nL 287.912863 186.452626 \nL 294.998688 178.059938 \nL 302.243029 168.486105 \nL 309.517396 157.741284 \nL 316.654261 145.908311 \nL 323.444372 133.164663 \nL 329.637438 119.801213 \nL 334.947921 106.232029 \nL 339.06745 92.988178 \nL 341.68505 80.688645 \nL 342.51479 69.985072 \nL 341.328571 61.483318 \nL 337.989399 55.654173 \nL 332.478574 52.753413 \nL 324.909741 52.77417 \nL 315.524934 55.448286 \nL 304.671463 60.298294 \nL 292.763963 66.72549 \nL 280.239529 74.108241 \nL 242.851806 96.959338 \nL 231.418073 103.746263 \nL 220.792794 109.876463 \nL 211.050116 115.330585 \nL 194.264613 124.346569 \nL 180.850164 131.241763 \nL 162.058075 140.584166 \nL 152.819629 145.00482 \nL 148.104087 147.074805 \nL 144.142561 148.551139 \nL 140.683438 149.481433 \nL 139.083087 149.750249 \nL 137.545094 149.890963 \nL 136.055935 149.905135 \nL 134.605194 149.794211 \nL 133.1853 149.559766 \nL 131.791318 149.203737 \nL 130.420719 148.72864 \nL 129.073204 148.137755 \nL 126.456305 146.626818 \nL 123.976047 144.719683 \nL 121.692122 142.487961 \nL 119.682013 140.028611 \nL 118.033254 137.46327 \nL 116.834121 134.933447 \nL 116.428382 133.729302 \nL 116.163134 132.591212 \nL 116.044876 131.537672 \nL 116.078188 130.586066 \nL 116.265482 129.752182 \nL 116.606804 129.049791 \nL 117.099719 128.490238 \nL 117.739251 128.082197 \nL 118.517943 127.831432 \nL 119.42598 127.740759 \nL 120.451377 127.810067 \nL 121.580286 128.036446 \nL 122.797299 128.414439 \nL 125.428481 129.592595 \nL 128.205145 131.262631 \nL 130.98722 133.324764 \nL 133.644869 135.672556 \nL 136.06609 138.201505 \nL 138.16076 140.814431 \nL 139.861577 143.423787 \nL 141.122551 145.951768 \nL 141.916076 148.328974 \nL 142.229417 150.492492 \nL 142.205277 151.475721 \nL 142.061392 152.383846 \nL 141.798982 153.209971 \nL 141.419711 153.947282 \nL 140.925658 154.589039 \nL 140.319308 155.128564 \nL 139.603569 155.559253 \nL 138.781788 155.8746 \nL 137.857806 156.068259 \nL 136.83602 156.1341 \nL 135.721454 156.066298 \nL 134.519849 155.859478 \nL 133.237768 155.508852 \nL 131.882694 155.010395 \nL 130.463161 154.361077 \nL 128.988836 153.55909 \nL 127.470646 152.604135 \nL 124.353116 150.243405 \nL 121.225732 147.317863 \nL 118.226194 143.909476 \nL 116.822913 142.063369 \nL 115.511755 140.150085 \nL 114.31419 138.194158 \nL 113.2517 136.22299 \nL 112.345253 134.266361 \nL 111.614711 132.355817 \nL 111.078204 130.52383 \nL 110.751468 128.802862 \nL 110.647226 127.224312 \nL 110.774569 125.817423 \nL 111.138474 124.608243 \nL 111.739421 123.618643 \nL 112.573149 122.865568 \nL 113.630656 122.360475 \nL 114.898322 122.10905 \nL 116.358273 122.111268 \nL 117.988886 122.361656 \nL 119.765476 122.849837 \nL 121.661032 123.561297 \nL 123.647066 124.478189 \nL 125.694429 125.580298 \nL 127.774121 126.845899 \nL 131.919521 129.778025 \nL 135.879054 133.099276 \nL 139.48517 136.650151 \nL 142.612622 140.294619 \nL 145.177336 143.920942 \nL 146.232297 145.698254 \nL 147.130694 147.438361 \nL 147.870679 149.132348 \nL 148.451611 150.771943 \nL 148.873797 152.349363 \nL 149.13828 153.857149 \nL 149.246643 155.288048 \nL 149.200852 156.634894 \nL 149.003118 157.890484 \nL 148.655804 159.047499 \nL 148.161352 160.09841 \nL 147.52225 161.035434 \nL 146.741028 161.85047 \nL 145.820277 162.535059 \nL 144.762705 163.080372 \nL 143.571217 163.477229 \nL 142.249025 163.716127 \nL 140.799791 163.787319 \nL 139.227778 163.680899 \nL 137.538063 163.386993 \nL 135.736732 162.895952 \nL 133.831129 162.198639 \nL 131.830116 161.286764 \nL 129.744329 160.153349 \nL 127.586477 158.793205 \nL 125.371581 157.203549 \nL 123.117255 155.384655 \nL 120.843885 153.340581 \nL 118.57479 151.079943 \nL 116.336291 148.616628 \nL 114.157644 145.970495 \nL 112.070844 143.167926 \nL 110.110255 140.242145 \nL 108.312009 137.233252 \nL 106.713263 134.18789 \nL 105.351147 131.158429 \nL 104.261576 128.201667 \nL 103.477893 125.377057 \nL 103.029376 122.744471 \nL 102.939758 120.361656 \nL 103.225839 118.281567 \nL 103.896286 116.549775 \nL 104.950772 115.202193 \nL 106.379496 114.263353 \nL 108.163224 113.745416 \nL 110.273809 113.648056 \nL 112.6752 113.959113 \nL 115.324856 114.655998 \nL 118.175472 115.707697 \nL 121.176867 117.077046 \nL 124.277894 118.723132 \nL 127.428241 120.603568 \nL 130.580027 122.67643 \nL 133.689066 124.901832 \nL 136.715837 127.243013 \nL 139.62608 129.667041 \nL 142.391069 132.145084 \nL 144.987618 134.65242 \nL 147.39784 137.168183 \nL 149.60873 139.674997 \nL 151.611652 142.158511 \nL 153.401733 144.606926 \nL 154.977242 147.010514 \nL 156.338988 149.361192 \nL 157.489735 151.652109 \nL 158.433667 153.877349 \nL 159.175916 156.031601 \nL 159.722154 158.109952 \nL 160.078249 160.10764 \nL 160.249976 162.019913 \nL 160.242797 163.841865 \nL 160.061692 165.568305 \nL 159.711026 167.193626 \nL 159.194478 168.711704 \nL 158.514991 170.115776 \nL 157.674777 171.398348 \nL 156.675334 172.551081 \nL 155.517511 173.564692 \nL 154.201589 174.428863 \nL 152.727398 175.132136 \nL 151.094468 175.661856 \nL 149.302215 176.004116 \nL 147.350158 176.143726 \nL 145.238181 176.064236 \nL 142.966845 175.748016 \nL 140.537754 175.176441 \nL 137.953957 174.330132 \nL 135.220439 173.189379 \nL 132.344656 171.734717 \nL 129.337128 169.947686 \nL 126.212081 167.811843 \nL 122.988116 165.31402 \nL 119.688915 162.445851 \nL 116.343892 159.205545 \nL 112.98875 155.599893 \nL 109.665922 151.646389 \nL 106.424739 147.375338 \nL 103.321308 142.831737 \nL 100.417901 138.076675 \nL 97.781827 133.187903 \nL 95.48372 128.259261 \nL 93.595095 123.398653 \nL 92.185348 118.724373 \nL 91.318179 114.359772 \nL 91.047734 110.426511 \nL 91.414729 107.036893 \nL 92.442956 104.286087 \nL 94.136578 102.245319 \nL 96.478559 100.956718 \nL 99.430595 100.430834 \nL 102.93453 100.647134 \nL 106.915273 101.557288 \nL 111.284893 103.090805 \nL 115.947451 105.16216 \nL 120.804044 107.678171 \nL 125.757674 110.544953 \nL 130.717353 113.673556 \nL 135.601354 116.984035 \nL 140.339373 120.407751 \nL 144.873648 123.888229 \nL 149.159182 127.380885 \nL 153.163231 130.851876 \nL 156.864245 134.276593 \nL 160.250497 137.637962 \nL 163.318539 140.924799 \nL 166.071633 144.130348 \nL 168.518246 147.25103 \nL 170.670678 150.285474 \nL 172.543855 153.233725 \nL 174.154296 156.096688 \nL 175.519267 158.875735 \nL 176.656093 161.572398 \nL 177.581621 164.188218 \nL 178.311819 166.7246 \nL 178.861484 169.182742 \nL 179.244033 171.563596 \nL 179.471386 173.867845 \nL 179.553886 176.095851 \nL 179.50028 178.247646 \nL 179.317718 180.322923 \nL 179.011789 182.320979 \nL 178.586561 184.240685 \nL 178.044637 186.08043 \nL 177.387204 187.838056 \nL 176.614103 189.510777 \nL 175.723871 191.095094 \nL 174.713807 192.586679 \nL 173.580011 193.98024 \nL 172.317445 195.269384 \nL 170.919976 196.446427 \nL 169.380425 197.502206 \nL 167.690636 198.425842 \nL 165.841536 199.20449 \nL 163.823233 199.823059 \nL 161.625122 200.263887 \nL 159.236045 200.506428 \nL 156.644495 200.526902 \nL 153.838871 200.297951 \nL 150.807847 199.788337 \nL 147.540812 198.962686 \nL 144.028472 197.781366 \nL 140.263584 196.200538 \nL 136.241906 194.17249 \nL 131.963334 191.646371 \nL 127.433324 188.569484 \nL 122.664546 184.889318 \nL 117.678814 180.556477 \nL 112.509257 175.528745 \nL 107.202632 169.776444 \nL 101.821676 163.289033 \nL 96.447256 156.082953 \nL 91.180015 148.210155 \nL 86.141081 139.76656 \nL 81.471303 130.899109 \nL 77.328505 121.809613 \nL 73.8822 112.753332 \nL 71.305438 104.030295 \nL 69.763819 95.968042 \nL 69.402288 88.895972 \nL 70.330884 83.113615 \nL 72.611361 78.857241 \nL 76.246863 76.271202 \nL 81.176852 75.39006 \nL 87.278665 76.136182 \nL 94.376024 78.333669 \nL 102.253423 81.73548 \nL 110.674047 86.057515 \nL 119.39839 91.012488 \nL 128.200945 96.337447 \nL 136.882902 101.811761 \nL 153.266332 112.576337 \nL 167.684146 122.501301 \nL 174.035024 127.057446 \nL 179.803108 131.339398 \nL 185.004407 135.359941 \nL 189.668188 139.13757 \nL 193.832747 142.692924 \nL 197.541959 146.046449 \nL 200.842563 149.217018 \nL 203.782104 152.221236 \nL 208.763709 157.784321 \nL 212.837151 162.818706 \nL 220.949257 173.342904 \nL 223.964561 176.73843 \nL 225.513321 178.25066 \nL 227.113967 179.631723 \nL 228.783072 180.874315 \nL 230.53599 181.969659 \nL 232.387004 182.907394 \nL 234.349412 183.675454 \nL 236.435584 184.259926 \nL 238.656948 184.644923 \nL 241.023935 184.812474 \nL 243.545845 184.742447 \nL 246.230627 184.412508 \nL 249.084595 183.798195 \nL 252.112016 182.873091 \nL 255.314626 181.609151 \nL 258.690994 179.977246 \nL 262.235801 177.94802 \nL 265.938961 175.493046 \nL 269.784683 172.58642 \nL 273.750383 169.206821 \nL 277.805602 165.340094 \nL 281.910918 160.982309 \nL 286.016987 156.143305 \nL 290.063829 150.850439 \nL 293.980527 145.152325 \nL 297.685536 139.122106 \nL 301.087808 132.859634 \nL 304.08896 126.491899 \nL 306.586551 120.171011 \nL 308.478638 114.069078 \nL 309.669377 108.369816 \nL 310.075451 103.257097 \nL 309.632717 98.901341 \nL 308.302445 95.445327 \nL 306.076227 92.991483 \nL 302.978807 91.592729 \nL 299.06831 91.248585 \nL 294.433495 91.907228 \nL 289.188419 93.473285 \nL 283.464992 95.819681 \nL 277.404458 98.801549 \nL 271.148792 102.269912 \nL 264.833008 106.083223 \nL 258.578994 110.115625 \nL 252.491319 114.261744 \nL 246.654971 118.438183 \nL 241.134836 122.582666 \nL 235.976578 126.651529 \nL 231.208443 130.616473 \nL 226.84365 134.46115 \nL 222.883001 138.178 \nL 219.317476 141.765567 \nL 216.130659 145.226343 \nL 213.300867 148.565139 \nL 210.802982 151.787969 \nL 208.609948 154.901226 \nL 206.693965 157.911241 \nL 205.027403 160.823946 \nL 203.583487 163.64478 \nL 202.336772 166.378632 \nL 200.341603 171.602292 \nL 198.873965 176.524168 \nL 197.796243 181.16757 \nL 196.999106 185.551652 \nL 196.149294 191.67665 \nL 195.191098 200.794523 \nL 194.335851 208.703962 \nL 193.723307 212.932259 \nL 192.957514 216.804882 \nL 191.968416 220.341645 \nL 191.143594 222.51909 \nL 190.150813 224.553291 \nL 188.95254 226.44154 \nL 187.503266 228.176441 \nL 185.74764 229.743882 \nL 183.618299 231.120058 \nL 182.388546 231.72528 \nL 181.033392 232.267035 \nL 179.539892 232.737315 \nL 177.893846 233.12626 \nL 176.079715 233.421782 \nL 174.08054 233.609104 \nL 171.877885 233.670229 \nL 169.451801 233.583285 \nL 166.780823 233.321795 \nL 163.842038 232.853801 \nL 160.61123 232.140901 \nL 157.063132 231.137156 \nL 153.17184 229.787939 \nL 148.91145 228.02875 \nL 144.256965 225.784119 \nL 139.185575 222.966747 \nL 133.678421 219.477119 \nL 127.722951 215.203999 \nL 121.316004 210.026245 \nL 114.467754 203.816693 \nL 107.206604 196.448893 \nL 99.585079 187.807726 \nL 91.686589 177.804788 \nL 83.632693 166.399251 \nL 75.590226 153.624066 \nL 67.77707 139.615861 \nL 60.464871 124.64485 \nL 53.976448 109.137825 \nL 48.675279 93.68472 \nL 44.944993 79.017556 \nL 43.157727 65.952858 \nL 43.632997 55.296209 \nL 46.592132 47.720381 \nL 52.116715 43.643451 \nL 60.121632 43.142332 \nL 70.351702 45.932784 \nL 82.405773 51.427187 \nL 95.784319 58.853283 \nL 109.949622 67.395779 \nL 138.63872 85.046388 \nL 152.354662 93.182128 \nL 165.276378 100.501787 \nL 177.242593 106.914529 \nL 188.171899 112.422461 \nL 198.044664 117.083982 \nL 206.88543 120.985928 \nL 214.747782 124.224787 \nL 221.7024 126.895307 \nL 227.828215 129.084522 \nL 237.915459 132.315512 \nL 245.619678 134.408437 \nL 251.463186 135.71323 \nL 255.865491 136.477249 \nL 260.455992 136.983866 \nL 263.959615 137.065993 \nL 265.796796 137.093488 \nL 265.709605 137.254711 \nL 263.206345 140.057871 \nL 262.503666 141.34422 \nL 262.235496 142.240133 \nL 262.236562 142.989946 \nL 262.394942 143.373993 \nL 262.677645 143.644856 \nL 263.077541 143.788619 \nL 263.582714 143.795383 \nL 264.500794 143.538436 \nL 265.545251 142.967049 \nL 266.626316 142.115594 \nL 267.642802 141.049775 \nL 268.490538 139.86446 \nL 269.073155 138.676654 \nL 269.314496 137.613258 \nL 269.262405 137.033796 \nL 269.03505 136.594329 \nL 268.638098 136.318732 \nL 268.086039 136.222638 \nL 267.401507 136.312524 \nL 266.192537 136.787406 \nL 264.873062 137.626693 \nL 263.573758 138.749464 \nL 262.420911 140.051226 \nL 261.523748 141.415703 \nL 260.965784 142.724838 \nL 260.809808 143.510966 \nL 260.836744 144.191659 \nL 261.048143 144.739146 \nL 261.439304 145.129153 \nL 261.999429 145.341608 \nL 262.711725 145.361423 \nL 263.553541 145.179384 \nL 264.496602 144.793153 \nL 266.026167 143.845382 \nL 267.574132 142.508958 \nL 268.991542 140.88803 \nL 270.12548 139.132022 \nL 270.653899 137.975812 \nL 270.959839 136.898733 \nL 271.018999 135.95759 \nL 270.818929 135.203736 \nL 270.360688 134.679214 \nL 269.659485 134.413592 \nL 268.744144 134.422018 \nL 267.655433 134.70456 \nL 266.443358 135.247013 \nL 265.163853 136.022788 \nL 263.875202 136.99552 \nL 262.049214 138.728168 \nL 260.978628 139.995893 \nL 260.076914 141.296473 \nL 259.379086 142.581665 \nL 258.911429 143.805171 \nL 258.691504 144.923344 \nL 258.728418 145.895655 \nL 259.023223 146.685072 \nL 259.569264 147.258488 \nL 260.352415 147.587399 \nL 261.351146 147.648846 \nL 262.536445 147.426647 \nL 263.871671 146.913043 \nL 265.312486 146.110559 \nL 266.807005 145.034011 \nL 268.296449 143.712229 \nL 269.716461 142.189346 \nL 270.999314 140.524979 \nL 272.077145 138.792895 \nL 272.886029 137.077955 \nL 273.370902 135.471028 \nL 273.490514 134.062357 \nL 273.222055 132.934038 \nL 272.94108 132.496626 \nL 272.564528 132.152756 \nL 272.095931 131.907377 \nL 271.540235 131.763879 \nL 270.193945 131.788018 \nL 268.589842 132.220497 \nL 266.80648 133.03365 \nL 264.930639 134.181194 \nL 263.050947 135.603702 \nL 261.252093 137.234143 \nL 259.61025 139.002644 \nL 258.190059 140.840086 \nL 257.043117 142.680345 \nL 256.207749 144.461468 \nL 255.709698 146.125955 \nL 255.563309 147.620589 \nL 255.772799 148.896045 \nL 256.333365 149.906685 \nL 256.741521 150.299441 \nL 257.231898 150.610583 \nL 257.801595 150.83554 \nL 259.164696 151.010386 \nL 260.796736 150.795294 \nL 262.653943 150.170423 \nL 264.681773 149.127964 \nL 266.81396 147.676068 \nL 268.972078 145.843028 \nL 271.066197 143.681128 \nL 272.997051 141.269183 \nL 274.660192 138.712721 \nL 275.952343 136.140597 \nL 276.779664 133.697388 \nL 276.994617 132.570781 \nL 277.067298 131.531653 \nL 276.992859 130.596804 \nL 276.76873 129.781442 \nL 276.394766 129.098719 \nL 275.873363 128.559409 \nL 275.209467 128.171594 \nL 274.410512 127.940524 \nL 273.486284 127.868535 \nL 272.448697 127.955098 \nL 271.311517 128.196966 \nL 270.090015 128.58842 \nL 267.460431 129.786751 \nL 264.69782 131.467534 \nL 261.939896 133.531293 \nL 259.313881 135.872492 \nL 256.929237 138.387835 \nL 254.873775 140.98134 \nL 253.212875 143.566565 \nL 251.991027 146.066571 \nL 251.234735 148.412634 \nL 250.955955 150.542311 \nL 250.996195 151.507721 \nL 251.155313 152.397478 \nL 251.432039 153.204722 \nL 251.824661 153.922681 \nL 252.331048 154.544649 \nL 252.948654 155.064008 \nL 253.674514 155.474206 \nL 254.505205 155.768822 \nL 255.436799 155.941588 \nL 256.46481 155.986483 \nL 257.584109 155.897823 \nL 258.788833 155.670391 \nL 260.072292 155.299591 \nL 261.426856 154.781619 \nL 262.843855 154.113702 \nL 264.313462 153.294333 \nL 267.364855 151.203172 \nL 270.476116 148.532104 \nL 273.519915 145.3438 \nL 276.348047 141.747756 \nL 277.630451 139.844971 \nL 278.796865 137.904295 \nL 279.826119 135.953206 \nL 280.697648 134.021427 \nL 281.392086 132.140288 \nL 281.891888 130.341885 \nL 282.181956 128.658148 \nL 282.250284 127.119784 \nL 282.088518 125.755222 \nL 281.692427 124.589576 \nL 281.062261 123.643749 \nL 280.202937 122.933694 \nL 279.124057 122.469918 \nL 277.839697 122.257249 \nL 276.368089 122.294908 \nL 274.731039 122.576826 \nL 272.953307 123.09222 \nL 271.061799 123.826302 \nL 269.084789 124.76116 \nL 267.051077 125.876627 \nL 264.98922 127.151167 \nL 260.890037 130.089099 \nL 256.987061 133.402447 \nL 253.443506 136.934774 \nL 250.380855 140.552731 \nL 247.880285 144.14666 \nL 246.856494 145.906034 \nL 245.988427 147.627216 \nL 245.277805 149.30138 \nL 244.725197 150.920304 \nL 244.330243 152.476231 \nL 244.091882 153.961728 \nL 244.008526 155.369533 \nL 244.07822 156.692454 \nL 244.298769 157.923272 \nL 244.667822 159.054632 \nL 245.182951 160.078972 \nL 245.841662 160.988475 \nL 246.641412 161.775005 \nL 247.579576 162.430086 \nL 248.653389 162.944889 \nL 249.859859 163.310244 \nL 251.195656 163.516696 \nL 252.656973 163.554561 \nL 254.239353 163.414061 \nL 255.937506 163.085493 \nL 257.745076 162.559438 \nL 259.65442 161.827068 \nL 261.656341 160.880505 \nL 263.739823 159.713241 \nL 265.891771 158.320694 \nL 268.096729 156.700777 \nL 270.336682 154.854576 \nL 272.590817 152.787065 \nL 274.835426 150.507854 \nL 277.043877 148.0319 \nL 279.186671 145.38015 \nL 281.23169 142.580038 \nL 283.14461 139.665749 \nL 284.889501 136.678186 \nL 286.429658 133.664515 \nL 287.728612 130.677321 \nL 288.751369 127.773204 \nL 289.465765 125.010949 \nL 289.843922 122.449298 \nL 289.863706 120.144398 \nL 289.510027 118.147198 \nL 288.775999 116.500966 \nL 287.663693 115.239133 \nL 286.184498 114.383748 \nL 284.359036 113.944658 \nL 282.216531 113.919518 \nL 279.793743 114.294574 \nL 277.133549 115.046159 \nL 274.283176 116.142676 \nL 271.292381 117.546876 \nL 268.211556 119.21818 \nL 265.090016 121.114868 \nL 261.974464 123.195917 \nL 258.907818 125.422466 \nL 255.928295 127.758827 \nL 253.068899 130.173101 \nL 250.357169 132.637409 \nL 247.81524 135.12786 \nL 245.460088 137.624296 \nL 243.303956 140.109908 \nL 241.354882 142.570791 \nL 239.61728 144.995469 \nL 238.092562 147.374447 \nL 236.779718 149.699787 \nL 235.675895 151.964724 \nL 234.776898 154.16335 \nL 234.077659 156.290339 \nL 233.572615 158.340706 \nL 233.256056 160.309606 \nL 233.122382 162.192174 \nL 233.166324 163.983358 \nL 233.383099 165.677816 \nL 233.768534 167.269759 \nL 234.319136 168.752866 \nL 235.032117 170.120177 \nL 235.905404 171.363968 \nL 236.937599 172.475667 \nL 238.127924 173.445753 \nL 239.476119 174.263641 \nL 240.982318 174.917635 \nL 242.646905 175.394838 \nL 244.470301 175.681114 \nL 246.452755 175.761092 \nL 248.594062 175.618176 \nL 250.893231 175.234694 \nL 253.348136 174.592064 \nL 255.955064 173.671104 \nL 258.708247 172.452496 \nL 261.599305 170.917395 \nL 264.616648 169.048262 \nL 267.744831 166.829915 \nL 270.96391 164.250864 \nL 274.248738 161.304849 \nL 277.56837 157.992674 \nL 280.885551 154.324205 \nL 284.156341 150.320445 \nL 287.330063 146.015528 \nL 290.349552 141.458449 \nL 293.151889 136.714193 \nL 295.66969 131.863971 \nL 297.83299 127.004287 \nL 299.571794 122.244473 \nL 300.819197 117.702628 \nL 301.514982 113.500003 \nL 301.609402 109.754081 \nL 301.066907 106.57107 \nL 299.869365 104.038499 \nL 298.01842 102.218876 \nL 295.536625 101.145428 \nL 292.46713 100.820448 \nL 288.871864 101.216432 \nL 284.828363 102.28005 \nL 280.425552 103.938004 \nL 275.758916 106.104099 \nL 270.925599 108.686421 \nL 266.019806 111.593775 \nL 261.128988 114.740874 \nL 256.330927 118.051772 \nL 251.691888 121.461873 \nL 247.265737 124.918401 \nL 243.093904 128.379964 \nL 239.206032 131.815317 \nL 235.621084 135.201869 \nL 232.348735 138.524011 \nL 229.390897 141.77157 \nL 226.743236 144.938431 \nL 224.396624 148.021394 \nL 222.338442 151.019223 \nL 220.553729 153.93198 \nL 219.026155 156.760478 \nL 217.738812 159.505941 \nL 216.674862 162.169722 \nL 215.81803 164.75314 \nL 215.152976 167.257385 \nL 214.665568 169.683434 \nL 214.343064 172.031997 \nL 214.174229 174.303493 \nL 214.149388 176.498034 \nL 214.260456 178.615381 \nL 214.50092 180.654916 \nL 214.865812 182.615595 \nL 215.351667 184.49592 \nL 215.956466 186.293852 \nL 216.679582 188.006754 \nL 217.521723 189.631296 \nL 218.484883 191.163362 \nL 219.572273 192.597909 \nL 220.788284 193.928841 \nL 222.138425 195.148827 \nL 223.629267 196.24912 \nL 225.268389 197.219351 \nL 227.064294 198.047271 \nL 229.026337 198.718484 \nL 231.164596 199.216162 \nL 233.489734 199.520719 \nL 236.012808 199.609491 \nL 238.74501 199.456407 \nL 241.697342 199.031682 \nL 244.880188 198.301581 \nL 248.302761 197.228265 \nL 251.972411 195.769823 \nL 255.893743 193.880533 \nL 260.067544 191.511518 \nL 264.489472 188.611871 \nL 269.148484 185.130467 \nL 274.025035 181.018635 \nL 279.089025 176.233825 \nL 284.297593 170.7445 \nL 289.592827 164.53625 \nL 294.899672 157.619074 \nL 300.124204 150.03548 \nL 305.152744 141.868665 \nL 309.85225 133.249684 \nL 314.072492 124.361965 \nL 317.650569 115.441287 \nL 320.418126 106.769199 \nL 322.211273 98.658582 \nL 322.882869 91.430924 \nL 322.316079 85.387175 \nL 320.437651 80.775747 \nL 317.228775 77.763292 \nL 312.731453 76.414409 \nL 307.04881 76.684929 \nL 300.338692 78.430995 \nL 292.8013 81.431685 \nL 284.662686 85.420314 \nL 276.156804 90.117405 \nL 267.508672 95.259289 \nL 258.920894 100.618243 \nL 250.56452 106.013041 \nL 235.049283 116.423249 \nL 221.619853 125.912428 \nL 215.759481 130.261282 \nL 210.461951 134.353446 \nL 205.702865 138.204622 \nL 201.447669 141.833771 \nL 197.655241 145.260475 \nL 194.280779 148.503315 \nL 191.278004 151.578947 \nL 188.600813 154.50174 \nL 184.046207 159.934327 \nL 180.286799 164.870255 \nL 172.600134 175.231997 \nL 169.655466 178.583073 \nL 168.126935 180.075942 \nL 166.537875 181.43916 \nL 164.872518 182.665106 \nL 163.116122 183.744677 \nL 161.254851 184.667136 \nL 159.27568 185.419971 \nL 157.166374 185.988746 \nL 154.915487 186.356944 \nL 152.51246 186.505836 \nL 149.947758 186.414384 \nL 147.213102 186.059168 \nL 144.301786 185.414439 \nL 141.209099 184.452266 \nL 137.932857 183.142857 \nL 134.47407 181.455113 \nL 130.837712 179.35747 \nL 127.033657 176.81911 \nL 123.077719 173.811621 \nL 118.992803 170.311208 \nL 114.810096 166.301411 \nL 110.570276 161.776452 \nL 106.324583 156.745047 \nL 102.135659 151.234538 \nL 98.077922 145.295077 \nL 94.237306 139.003244 \nL 90.710125 132.464592 \nL 87.600797 125.814237 \nL 85.018282 119.214721 \nL 83.071198 112.85047 \nL 81.861688 106.918519 \nL 81.47841 101.615807 \nL 81.989229 97.124106 \nL 83.434434 93.594279 \nL 85.821391 91.132386 \nL 89.121552 89.789787 \nL 93.270429 89.559376 \nL 98.170804 90.378523 \nL 103.698841 92.138324 \nL 109.712398 94.697218 \nL 116.060474 97.896653 \nL 122.592535 101.57604 \nL 129.166741 105.585083 \nL 135.656374 109.792272 \nL 141.954041 114.089372 \nL 147.973753 118.392466 \nL 153.651131 122.640388 \nL 158.942184 126.791653 \nL 163.82114 130.820656 \nL 168.277733 134.713859 \nL 172.314342 138.466408 \nL 175.943192 142.079253 \nL 179.183795 145.556957 \nL 182.060727 148.906064 \nL 184.601755 152.133954 \nL 186.836316 155.248128 \nL 188.794331 158.255736 \nL 190.505306 161.163372 \nL 191.997677 163.976945 \nL 193.298361 166.701685 \nL 195.423175 171.902508 \nL 197.057001 176.796161 \nL 198.345852 181.406176 \nL 199.883111 187.829168 \nL 202.080448 197.334634 \nL 203.513736 202.370479 \nL 204.619354 205.460732 \nL 205.899362 208.337782 \nL 207.403234 210.996554 \nL 209.185984 213.425248 \nL 210.201278 214.547163 \nL 211.310728 215.602711 \nL 212.523898 216.587169 \nL 213.851167 217.494677 \nL 215.303801 218.318015 \nL 216.894019 219.048351 \nL 218.635062 219.674939 \nL 220.541235 220.184759 \nL 222.627939 220.562106 \nL 224.911687 220.788103 \nL 227.410062 220.840148 \nL 230.141642 220.691299 \nL 233.125848 220.309564 \nL 236.382698 219.657171 \nL 239.932447 218.689783 \nL 243.795041 217.355748 \nL 247.989371 215.595432 \nL 252.532255 213.340771 \nL 257.437085 210.515201 \nL 262.71203 207.034209 \nL 268.357777 202.806841 \nL 274.364676 197.738569 \nL 280.70926 191.736029 \nL 287.350166 184.714223 \nL 294.223473 176.606672 \nL 301.237766 167.378945 \nL 308.269293 157.045435 \nL 315.157924 145.688595 \nL 321.704944 133.478648 \nL 327.673965 120.690104 \nL 332.796506 107.710094 \nL 336.78361 95.032217 \nL 339.344416 83.230037 \nL 340.211349 72.907513 \nL 339.169943 64.628892 \nL 336.08905 58.83876 \nL 330.945706 55.789776 \nL 323.838576 55.497951 \nL 314.985338 57.740291 \nL 304.703002 62.097502 \nL 293.374459 68.029967 \nL 281.408126 74.965407 \nL 257.0962 89.82892 \nL 234.281008 103.715984 \nL 214.39771 115.358381 \nL 197.916353 124.632827 \nL 154.291622 148.623282 \nL 149.893692 150.834735 \nL 146.053723 152.443229 \nL 144.269862 153.02782 \nL 142.546181 153.466688 \nL 140.864486 153.759257 \nL 139.21005 153.904407 \nL 137.571356 153.900742 \nL 135.939895 153.746841 \nL 134.309986 153.441521 \nL 132.678613 152.98409 \nL 131.045314 152.374623 \nL 129.412039 151.614252 \nL 127.783069 150.705435 \nL 126.164913 149.652255 \nL 124.566189 148.460697 \nL 122.997506 147.13895 \nL 121.471326 145.697603 \nL 120.001749 144.14988 \nL 118.604305 142.511749 \nL 117.29565 140.801947 \nL 116.093231 139.041922 \nL 115.014868 137.255627 \nL 114.078282 135.469187 \nL 113.30058 133.710395 \nL 112.6977 132.008094 \nL 112.283834 130.391405 \nL 112.070829 128.888894 \nL 112.067679 127.527671 \nL 112.280022 126.332466 \nL 112.709752 125.324806 \nL 113.354786 124.52228 \nL 114.208921 123.937954 \nL 115.261877 123.58005 \nL 116.499518 123.451786 \nL 117.904191 123.551509 \nL 119.455221 123.873022 \nL 121.129532 124.406073 \nL 122.90228 125.137013 \nL 124.747602 126.049538 \nL 126.639285 127.125427 \nL 130.459106 129.689219 \nL 134.168521 132.670471 \nL 137.602427 135.918834 \nL 140.63134 139.300977 \nL 143.162669 142.703739 \nL 145.137378 146.032902 \nL 145.905265 147.644762 \nL 146.523948 149.209603 \nL 146.992644 150.719221 \nL 147.311429 152.165825 \nL 147.481063 153.541896 \nL 147.502828 154.840087 \nL 147.378407 156.05312 \nL 147.109769 157.173673 \nL 146.699091 158.194348 \nL 146.148725 159.107576 \nL 145.461165 159.90559 \nL 144.639064 160.580374 \nL 143.685271 161.123675 \nL 142.602887 161.527006 \nL 141.395358 161.781676 \nL 140.066593 161.878856 \nL 138.621098 161.809711 \nL 137.06414 161.565513 \nL 135.401927 161.137846 \nL 133.641814 160.518858 \nL 131.792528 159.701578 \nL 129.864368 158.680277 \nL 127.869469 157.450907 \nL 125.821993 156.011624 \nL 123.738343 154.363329 \nL 121.63733 152.510277 \nL 119.540274 150.460715 \nL 117.471044 148.227452 \nL 115.455974 145.828428 \nL 113.52372 143.287156 \nL 111.704884 140.632949 \nL 110.031548 137.900938 \nL 108.536587 135.131807 \nL 107.252836 132.371085 \nL 106.212077 129.668137 \nL 105.443893 127.0747 \nL 104.974474 124.643094 \nL 104.825338 122.424174 \nL 105.012191 120.465139 \nL 105.543889 118.807399 \nL 106.42168 117.484641 \nL 107.638747 116.521295 \nL 109.180122 115.931583 \nL 111.023047 115.719188 \nL 113.13771 115.877551 \nL 115.488304 116.390847 \nL 118.034425 117.235408 \nL 120.732573 118.381522 \nL 123.537764 119.795321 \nL 126.405081 121.440671 \nL 129.291064 123.280912 \nL 132.154927 125.280287 \nL 134.959471 127.405049 \nL 137.671733 129.624209 \nL 140.263379 131.909989 \nL 142.710816 134.23794 \nL 144.995113 136.586923 \nL 147.101745 138.938868 \nL 149.020212 141.278456 \nL 150.74357 143.592759 \nL 152.267931 145.870857 \nL 153.591953 148.103469 \nL 154.716316 150.28258 \nL 155.64326 152.401168 \nL 156.376147 154.452889 \nL 156.919072 156.431875 \nL 157.276548 158.332503 \nL 157.453212 160.149222 \nL 157.453612 161.876399 \nL 157.28203 163.508193 \nL 156.942347 165.038405 \nL 156.437965 166.460391 \nL 155.771753 167.766939 \nL 154.946037 168.950173 \nL 153.96263 170.001478 \nL 152.822879 170.911383 \nL 151.527744 171.669528 \nL 150.077939 172.264574 \nL 148.474065 172.684175 \nL 146.716801 172.914971 \nL 144.807126 172.942604 \nL 142.746589 172.751813 \nL 140.537613 172.32657 \nL 138.18385 171.650338 \nL 135.690577 170.706387 \nL 133.065151 169.478309 \nL 130.317496 167.950614 \nL 127.46064 166.109568 \nL 124.511268 163.944192 \nL 121.490265 161.447499 \nL 118.423273 158.617871 \nL 115.341139 155.46066 \nL 112.280258 151.989848 \nL 109.282759 148.22973 \nL 106.396388 144.216414 \nL 103.674097 139.999018 \nL 101.173226 135.64024 \nL 98.954153 131.216152 \nL 97.078517 126.81491 \nL 95.606886 122.534251 \nL 94.595984 118.477718 \nL 94.095688 114.749728 \nL 94.145839 111.449798 \nL 94.77331 108.666384 \nL 95.989532 106.471158 \nL 97.788782 104.914178 \nL 100.147548 104.020842 \nL 103.025023 103.790876 \nL 106.364819 104.199636 \nL 110.09773 105.201327 \nL 114.145264 106.733817 \nL 118.423646 108.724287 \nL 122.847861 111.094899 \nL 127.335374 113.767954 \nL 131.809313 116.670033 \nL 136.200886 119.73497 \nL 140.450958 122.905514 \nL 144.510857 126.133951 \nL 148.342468 129.381887 \nL 151.91779 132.619436 \nL 155.218069 135.824077 \nL 158.232684 138.979405 \nL 160.957905 142.073884 \nL 163.395613 145.099706 \nL 165.55208 148.051835 \nL 167.436832 150.927206 \nL 169.061652 153.724098 \nL 170.439712 156.441646 \nL 171.58485 159.079481 \nL 172.510974 161.637467 \nL 173.231605 164.115527 \nL 173.7595 166.513481 \nL 174.106399 168.830969 \nL 174.282826 171.067357 \nL 174.297966 173.221687 \nL 174.159586 175.292605 \nL 173.873999 177.278314 \nL 173.446063 179.176501 \nL 172.879187 180.984272 \nL 172.175374 182.698048 \nL 171.335267 184.313495 \nL 170.358194 185.825409 \nL 169.242241 187.227554 \nL 167.984315 188.512549 \nL 166.580219 189.6717 \nL 165.024742 190.694803 \nL 163.311759 191.569947 \nL 161.434346 192.283294 \nL 159.384926 192.818837 \nL 157.155444 193.158169 \nL 154.737594 193.280233 \nL 152.123087 193.161119 \nL 149.303999 192.773865 \nL 146.273207 192.088359 \nL 143.024928 191.071349 \nL 139.555382 189.686621 \nL 135.863596 187.895428 \nL 131.952392 185.65725 \nL 127.82953 182.930985 \nL 123.509032 179.676756 \nL 119.012708 175.858324 \nL 114.371782 171.446369 \nL 109.628608 166.42262 \nL 104.83835 160.784805 \nL 100.070424 154.552364 \nL 95.40951 147.772452 \nL 90.955818 140.525741 \nL 86.824258 132.931032 \nL 83.142152 125.147605 \nL 80.045181 117.373888 \nL 77.671319 109.841303 \nL 76.152908 102.802474 \nL 75.607141 96.513946 \nL 76.12585 91.214641 \nL 77.765738 87.102826 \nL 80.540478 84.315234 \nL 84.416103 82.912403 \nL 89.310779 82.873254 \nL 95.099323 84.100321 \nL 101.622048 86.434592 \nL 108.69674 89.676791 \nL 116.132029 93.610874 \nL 123.740246 98.025457 \nL 131.348371 102.730323 \nL 138.805969 107.566476 \nL 145.989831 112.410079 \nL 152.80561 117.171546 \nL 159.186968 121.791425 \nL 165.093002 126.234686 \nL 170.50468 130.484766 \nL 175.420866 134.538105 \nL 179.854398 138.399574 \nL 183.828471 142.07897 \nL 187.37349 145.588477 \nL 190.52445 148.940932 \nL 193.318834 152.148767 \nL 195.794985 155.223355 \nL 197.990888 158.174739 \nL 201.68718 163.741036 \nL 204.678106 168.900774 \nL 208.34335 175.950178 \nL 211.577056 182.218909 \nL 213.739591 185.967373 \nL 216.049137 189.357445 \nL 217.292701 190.91052 \nL 218.612397 192.363071 \nL 220.020579 193.709322 \nL 221.529494 194.942212 \nL 223.151391 196.05323 \nL 224.898615 197.032196 \nL 226.783661 197.867017 \nL 228.819203 198.543437 \nL 231.018082 199.044728 \nL 233.393241 199.351396 \nL 235.957613 199.440849 \nL 238.723925 199.287076 \nL 241.704418 198.860346 \nL 244.910467 198.126979 \nL 248.352067 197.049202 \nL 252.037167 195.585185 \nL 255.970814 193.689327 \nL 260.154099 191.312901 \nL 264.582857 188.405222 \nL 269.246129 184.915469 \nL 274.124347 180.795374 \nL 279.187318 176.0029 \nL 284.39202 170.507162 \nL 289.680361 164.294544 \nL 294.97707 157.375964 \nL 300.188043 149.794947 \nL 305.199493 141.635727 \nL 309.87838 133.030328 \nL 314.074653 124.162937 \nL 317.625825 115.26972 \nL 320.364224 106.632055 \nL 322.126936 98.561976 \nL 322.768058 91.379392 \nL 322.172232 85.382979 \nL 320.267758 80.818391 \nL 317.037334 77.849435 \nL 312.524254 76.538057 \nL 306.832548 76.838188 \nL 300.120498 78.604925 \nL 292.588203 81.617346 \nL 284.46114 85.60964 \nL 275.972287 90.303803 \nL 267.345483 95.437963 \nL 258.782039 100.786196 \nL 250.451771 106.168852 \nL 234.989903 116.555135 \nL 221.610459 126.025142 \nL 215.772719 130.366795 \nL 210.495992 134.453332 \nL 205.75585 138.300339 \nL 201.517782 141.926619 \nL 197.740774 145.351593 \nL 194.380163 148.59368 \nL 191.389839 151.669415 \nL 188.723868 154.593038 \nL 184.188703 160.029161 \nL 180.445817 164.970758 \nL 172.794636 175.355457 \nL 169.863867 178.719754 \nL 168.342481 180.220305 \nL 166.760741 181.591991 \nL 165.1029 182.827296 \nL 163.354221 183.917186 \nL 161.500852 184.851024 \nL 159.529743 185.616387 \nL 157.428601 186.198941 \nL 155.185913 186.582251 \nL 152.79102 186.747687 \nL 150.234254 186.674269 \nL 147.507169 186.338619 \nL 144.602849 185.715007 \nL 141.516333 184.775457 \nL 138.245136 183.490067 \nL 134.789894 181.827532 \nL 131.155165 179.755954 \nL 127.350341 177.244054 \nL 123.390683 174.262785 \nL 119.298484 170.787478 \nL 115.104288 166.800596 \nL 110.848102 162.295032 \nL 106.580502 157.277935 \nL 102.363524 151.774901 \nL 98.27109 145.834191 \nL 94.38883 139.530523 \nL 90.813021 132.967758 \nL 87.648383 126.279727 \nL 85.004624 119.628353 \nL 82.991601 113.198314 \nL 81.713207 107.188012 \nL 81.260315 101.796895 \nL 81.703391 97.210335 \nL 83.085526 93.583626 \nL 85.416885 91.027593 \nL 88.671444 89.598252 \nL 92.786744 89.292418 \nL 97.666871 90.050271 \nL 103.188502 91.764295 \nL 109.209165 94.292928 \nL 115.576796 97.476419 \nL 122.139209 101.152107 \nL 128.752571 105.167144 \nL 135.287972 109.387383 \nL 141.635877 113.702139 \nL 147.708327 118.025407 \nL 153.439234 122.294403 \nL 158.783218 126.466467 \nL 163.713439 130.515199 \nL 168.218878 134.426624 \nL 172.301426 138.195665 \nL 175.973051 141.823238 \nL 179.253198 145.313976 \nL 182.166515 148.674548 \nL 184.740945 151.912499 \nL 187.006181 155.035493 \nL 188.992448 158.050851 \nL 190.729587 160.965295 \nL 192.24638 163.784861 \nL 193.570097 166.514894 \nL 195.738199 171.724433 \nL 197.413812 176.624671 \nL 198.745426 181.23931 \nL 200.832788 189.682584 \nL 202.705767 197.163397 \nL 203.718411 200.564913 \nL 204.85079 203.746584 \nL 206.152254 206.708385 \nL 207.674125 209.445277 \nL 209.472572 211.945394 \nL 210.495054 213.100473 \nL 211.611301 214.187451 \nL 212.830876 215.20158 \nL 214.164127 216.136965 \nL 215.622265 216.986351 \nL 217.217428 217.740878 \nL 218.962738 218.389768 \nL 220.872353 218.919985 \nL 222.961493 219.315823 \nL 225.246439 219.558428 \nL 227.744504 219.625257 \nL 230.473943 219.489475 \nL 233.453797 219.119282 \nL 236.70364 218.477183 \nL 240.243208 217.519252 \nL 244.091859 216.194422 \nL 248.267813 214.443851 \nL 252.787143 212.200544 \nL 257.662416 209.389339 \nL 262.900929 205.927527 \nL 268.502461 201.72641 \nL 274.45647 196.6942 \nL 280.738699 190.740782 \nL 287.307168 183.78482 \nL 294.097697 175.763763 \nL 301.019122 166.64702 \nL 307.94869 156.452238 \nL 314.728239 145.263831 \nL 321.162273 133.251705 \nL 327.019048 120.686842 \nL 332.036205 107.948691 \nL 335.93226 95.51854 \nL 338.424707 83.953536 \nL 339.254433 73.83856 \nL 338.214411 65.718953 \nL 335.178624 60.024212 \nL 330.125842 56.999135 \nL 323.152356 56.661345 \nL 314.469413 58.79896 \nL 304.384362 63.010875 \nL 293.268672 68.778778 \nL 281.519262 75.550632 \nL 257.615435 90.148043 \nL 235.13617 103.892364 \nL 215.504426 115.50967 \nL 199.20116 124.845008 \nL 167.585918 142.791354 \nL 153.583442 150.897141 \nL 149.471769 152.976503 \nL 145.770857 154.453591 \nL 144.010839 154.967204 \nL 142.284943 155.32915 \nL 140.577914 155.537298 \nL 138.877706 155.589112 \nL 137.175303 155.481956 \nL 135.464538 155.213311 \nL 133.741982 154.781063 \nL 132.006819 154.18379 \nL 130.260771 153.421056 \nL 128.508042 152.493759 \nL 126.755222 151.404444 \nL 125.011252 150.157664 \nL 123.287323 148.760331 \nL 121.596759 147.222036 \nL 119.954893 145.555356 \nL 118.378837 143.776048 \nL 116.887224 141.903208 \nL 115.499862 139.959295 \nL 114.237317 137.969989 \nL 113.120423 135.963901 \nL 112.169677 133.972079 \nL 111.404628 132.027343 \nL 110.843148 130.16346 \nL 110.500776 128.414105 \nL 110.38999 126.811801 \nL 110.519585 125.386759 \nL 110.894143 124.165771 \nL 111.513626 123.171238 \nL 112.373133 122.420355 \nL 113.462878 121.92457 \nL 114.768346 121.689304 \nL 116.270671 121.714017 \nL 117.947166 121.992543 \nL 119.772035 122.513683 \nL 121.717186 123.261988 \nL 123.753074 124.21869 \nL 125.84959 125.362637 \nL 127.976862 126.671249 \nL 130.106035 128.121364 \nL 134.263275 131.354863 \nL 138.131082 134.890538 \nL 141.561705 138.578206 \nL 144.451427 142.2936 \nL 145.672104 144.129517 \nL 146.73628 145.936329 \nL 147.640915 147.704403 \nL 148.38442 149.424926 \nL 148.966398 151.08973 \nL 149.387389 152.691118 \nL 149.648639 154.221724 \nL 149.751915 155.674365 \nL 149.699326 157.041924 \nL 149.493203 158.317244 \nL 149.135986 159.493011 \nL 148.63017 160.561698 \nL 147.978254 161.51548 \nL 147.18275 162.346187 \nL 146.246203 163.045264 \nL 145.171245 163.603764 \nL 143.960677 164.012327 \nL 142.617591 164.261243 \nL 141.145507 164.340501 \nL 139.548537 164.239895 \nL 137.831594 163.949201 \nL 136.000607 163.458357 \nL 134.062775 162.757781 \nL 132.026823 161.838696 \nL 129.903303 160.693593 \nL 127.704857 159.316734 \nL 125.446529 157.70478 \nL 123.14601 155.857491 \nL 120.823881 153.778455 \nL 118.503768 151.47591 \nL 116.212425 148.96353 \nL 113.979701 146.261147 \nL 111.838345 143.395358 \nL 109.823625 140.399909 \nL 107.972772 137.315765 \nL 106.324156 134.190776 \nL 104.916258 131.078905 \nL 103.786405 128.03886 \nL 102.969372 125.132277 \nL 102.495806 122.421374 \nL 102.390673 119.966306 \nL 102.671778 117.822294 \nL 103.34851 116.036907 \nL 104.420885 114.64764 \nL 105.879056 113.680064 \nL 107.703316 113.146782 \nL 109.864638 113.047281 \nL 112.325729 113.368613 \nL 115.042526 114.086957 \nL 117.966013 115.169705 \nL 121.044198 116.577878 \nL 124.224129 118.268706 \nL 127.453777 120.197984 \nL 130.683722 122.322173 \nL 133.868451 124.59998 \nL 136.967381 126.993532 \nL 139.945447 129.469032 \nL 142.773384 131.997065 \nL 145.427705 134.552525 \nL 147.890424 137.114382 \nL 150.148626 139.665218 \nL 152.1939 142.190768 \nL 154.021699 144.679386 \nL 155.630706 147.121567 \nL 157.022173 149.509459 \nL 158.199338 151.836478 \nL 159.166854 154.09697 \nL 159.930309 156.285903 \nL 160.495806 158.398609 \nL 160.869603 160.430591 \nL 161.057833 162.377347 \nL 161.066264 164.234209 \nL 160.900126 165.996229 \nL 160.563989 167.658045 \nL 160.061685 169.213749 \nL 159.396256 170.656816 \nL 158.569954 171.979968 \nL 157.584265 173.17507 \nL 156.439955 174.233037 \nL 155.137166 175.143722 \nL 153.675522 175.895812 \nL 152.054272 176.476764 \nL 150.272474 176.872722 \nL 148.329202 177.068462 \nL 146.223806 177.047406 \nL 143.95621 176.791683 \nL 141.527278 176.282248 \nL 138.939213 175.499126 \nL 136.196039 174.421764 \nL 133.304141 173.02956 \nL 130.272862 171.302598 \nL 127.115164 169.222611 \nL 123.848338 166.774196 \nL 120.494733 163.946341 \nL 117.082462 160.734198 \nL 113.646056 157.141168 \nL 110.226983 153.181114 \nL 106.873964 148.880641 \nL 103.642946 144.281235 \nL 100.596658 139.440972 \nL 97.80365 134.435487 \nL 95.336654 129.357782 \nL 93.270277 124.316633 \nL 91.677975 119.433195 \nL 90.62845 114.835836 \nL 90.181592 110.653326 \nL 90.384317 107.006803 \nL 91.266712 104.001404 \nL 92.838842 101.718579 \nL 95.08877 100.209997 \nL 97.981981 99.49417 \nL 101.462549 99.556183 \nL 105.455861 100.350617 \nL 109.872718 101.80712 \nL 114.614325 103.837835 \nL 119.57771 106.345386 \nL 124.660943 109.23051 \nL 129.767696 112.398416 \nL 134.810887 115.763373 \nL 139.715169 119.251575 \nL 144.418302 122.802193 \nL 148.871526 126.367206 \nL 153.039098 129.910254 \nL 156.897249 133.405033 \nL 160.43275 136.833441 \nL 163.641291 140.183789 \nL 166.525801 143.449201 \nL 169.094861 146.626253 \nL 171.361221 149.71389 \nL 173.340511 152.712576 \nL 175.050139 155.623689 \nL 176.508375 158.44907 \nL 177.733619 161.190748 \nL 178.743828 163.850736 \nL 179.556089 166.4309 \nL 180.186298 168.932893 \nL 180.648952 171.35812 \nL 180.957012 173.707719 \nL 181.121832 175.982537 \nL 181.153127 178.183116 \nL 181.058992 180.309693 \nL 180.845926 182.362167 \nL 180.518882 184.340066 \nL 180.081327 186.242526 \nL 179.535303 188.068236 \nL 178.881488 189.815369 \nL 178.11925 191.481522 \nL 177.246707 193.063613 \nL 176.26077 194.557792 \nL 175.157195 195.959304 \nL 173.930614 197.262346 \nL 172.574578 198.459901 \nL 171.081596 199.54354 \nL 169.443174 200.503195 \nL 167.649867 201.326911 \nL 165.691347 202.000556 \nL 163.556489 202.507494 \nL 161.233493 202.828253 \nL 158.710047 202.940136 \nL 155.973542 202.816856 \nL 153.011394 202.42815 \nL 149.811413 201.739442 \nL 146.362346 200.711596 \nL 142.654532 199.300793 \nL 138.680783 197.458659 \nL 134.437436 195.132716 \nL 129.925711 192.267342 \nL 125.153311 188.805402 \nL 120.136328 184.690769 \nL 114.901464 179.87193 \nL 109.488467 174.306944 \nL 103.952722 167.969872 \nL 98.367815 160.858626 \nL 92.827756 153.004067 \nL 87.448474 144.479638 \nL 82.368101 135.410402 \nL 77.745354 125.979733 \nL 73.755442 116.431504 \nL 70.582945 107.065237 \nL 68.411397 98.222199 \nL 67.409968 90.261622 \nL 67.71807 83.528164 \nL 69.429764 78.314711 \nL 72.580301 74.826602 \nL 77.137376 73.155084 \nL 82.999225 73.266197 \nL 90.000598 75.008599 \nL 97.926047 78.138503 \nL 106.528472 82.35595 \nL 115.549868 87.344061 \nL 124.740929 92.803458 \nL 133.876969 98.47662 \nL 151.267229 109.708424 \nL 166.693419 120.058015 \nL 179.723863 129.205902 \nL 185.329944 133.33474 \nL 190.362195 137.192193 \nL 194.859451 140.801955 \nL 198.867315 144.187694 \nL 202.435018 147.371356 \nL 205.613047 150.372251 \nL 210.998404 155.888104 \nL 215.39864 160.831242 \nL 224.128855 170.967804 \nL 227.352232 174.142981 \nL 229.001616 175.529002 \nL 230.701455 176.772134 \nL 232.468602 177.864198 \nL 234.318402 178.79551 \nL 236.264812 179.554802 \nL 238.320469 180.129144 \nL 240.496719 180.503857 \nL 242.803569 180.662486 \nL 245.249583 180.586755 \nL 247.841708 180.256637 \nL 250.584992 179.650485 \nL 253.482262 178.745255 \nL 256.533659 177.51692 \nL 259.736113 175.941084 \nL 263.082692 173.993797 \nL 266.561898 171.65271 \nL 270.156829 168.898573 \nL 273.844361 165.71706 \nL 277.594263 162.101056 \nL 281.368415 158.053214 \nL 285.120136 153.588829 \nL 288.793812 148.738787 \nL 292.324858 143.552333 \nL 295.640282 138.09929 \nL 298.659908 132.471306 \nL 301.298447 126.781523 \nL 303.468465 121.162316 \nL 305.084279 115.760598 \nL 306.066624 110.730752 \nL 306.347813 106.225368 \nL 305.877002 102.384621 \nL 304.624919 99.325463 \nL 302.587562 97.132087 \nL 299.7882 95.849154 \nL 296.277363 95.478945 \nL 292.130601 95.98289 \nL 287.444251 97.287264 \nL 282.329608 99.291914 \nL 276.90627 101.880709 \nL 271.295303 104.932023 \nL 265.613047 108.327789 \nL 259.966014 111.96044 \nL 254.447206 115.737222 \nL 249.133966 119.582164 \nL 244.087164 123.436013 \nL 239.35158 127.254839 \nL 234.957078 131.007858 \nL 230.920364 134.674915 \nL 227.247012 138.244063 \nL 223.933541 141.709377 \nL 220.969451 145.06911 \nL 218.339044 148.32429 \nL 216.023046 151.477597 \nL 213.999962 154.532627 \nL 212.247195 157.493336 \nL 210.741932 160.363732 \nL 209.461822 163.147642 \nL 208.385479 165.848621 \nL 207.492845 168.469904 \nL 206.765417 171.014404 \nL 206.186389 173.484714 \nL 205.415108 178.21175 \nL 205.079571 182.666536 \nL 205.106874 186.861163 \nL 205.448023 190.804695 \nL 206.075009 194.503144 \nL 206.97818 197.959081 \nL 208.16417 201.170778 \nL 209.654526 204.130858 \nL 210.524468 205.512221 \nL 211.485013 206.824306 \nL 212.542845 208.063567 \nL 213.705556 209.225556 \nL 214.981676 210.304763 \nL 216.380687 211.294424 \nL 217.913061 212.186278 \nL 219.590276 212.97033 \nL 221.424835 213.634522 \nL 223.430261 214.164374 \nL 225.62108 214.542582 \nL 228.012776 214.748542 \nL 230.621682 214.757832 \nL 233.464834 214.541644 \nL 236.559724 214.066162 \nL 239.923963 213.291953 \nL 243.574781 212.173374 \nL 247.528375 210.658061 \nL 251.798992 208.686635 \nL 256.397764 206.192708 \nL 261.331181 203.103435 \nL 266.599167 199.340808 \nL 272.192694 194.824082 \nL 278.090891 189.473661 \nL 284.257692 183.216901 \nL 290.638023 175.99623 \nL 297.153777 167.779827 \nL 303.699831 158.574859 \nL 310.140721 148.442715 \nL 316.308625 137.514733 \nL 322.003755 126.00603 \nL 326.998169 114.223707 \nL 331.044242 102.564939 \nL 333.888481 91.500403 \nL 335.290765 81.540211 \nL 335.047704 73.183068 \nL 333.017515 66.854568 \nL 329.142263 62.84621 \nL 323.462831 61.269467 \nL 316.122442 62.038281 \nL 307.35679 64.885951 \nL 297.471793 69.412863 \nL 286.813066 75.151993 \nL 275.732901 81.63538 \nL 253.581544 95.25511 \nL 223.776348 113.699502 \nL 188.685971 135.27092 \nL 179.309263 141.337292 \nL 171.892685 146.391809 \nL 154.855616 158.321722 \nL 152.968936 159.395907 \nL 151.122933 160.314255 \nL 149.295211 161.073085 \nL 147.466678 161.667575 \nL 145.621348 162.091945 \nL 143.746161 162.339636 \nL 141.830852 162.403515 \nL 139.867854 162.27609 \nL 137.852271 161.949749 \nL 135.781854 161.417066 \nL 133.657059 160.671141 \nL 131.481109 159.706039 \nL 129.260088 158.517231 \nL 127.003076 157.102173 \nL 124.722241 155.460925 \nL 122.432945 153.596818 \nL 120.153821 151.517157 \nL 117.90677 149.23393 \nL 115.716854 146.764484 \nL 113.61212 144.132078 \nL 111.623248 141.366261 \nL 109.783024 138.503032 \nL 108.125658 135.584632 \nL 106.685855 132.659005 \nL 105.497756 129.778719 \nL 104.593669 126.999535 \nL 104.00272 124.378483 \nL 103.749441 121.971624 \nL 103.85242 119.831585 \nL 104.323072 118.005139 \nL 105.16469 116.530919 \nL 106.371834 115.43757 \nL 107.930139 114.742552 \nL 109.816564 114.451549 \nL 112.000142 114.558809 \nL 114.443124 115.04806 \nL 117.102451 115.894129 \nL 119.931435 117.064886 \nL 122.881568 118.523461 \nL 125.904238 120.230395 \nL 128.952344 122.145631 \nL 131.981633 124.230156 \nL 134.951774 126.447277 \nL 137.827101 128.763455 \nL 140.577035 131.148813 \nL 143.176244 133.577293 \nL 145.604529 136.026556 \nL 147.846543 138.477728 \nL 149.89136 140.915011 \nL 151.731953 143.32527 \nL 153.364628 145.697569 \nL 154.788445 148.022781 \nL 156.004659 150.293164 \nL 157.016177 152.502048 \nL 157.827101 154.643491 \nL 158.442292 156.712071 \nL 158.867008 158.702635 \nL 159.106602 160.610113 \nL 159.166283 162.429375 \nL 159.050916 164.155071 \nL 158.764877 165.781505 \nL 158.311965 167.30252 \nL 157.695336 168.711405 \nL 156.917485 170.000767 \nL 155.980261 171.16244 \nL 154.884899 172.187379 \nL 153.63212 173.065585 \nL 152.222221 173.786009 \nL 150.655207 174.336494 \nL 148.930986 174.703733 \nL 147.049556 174.873227 \nL 145.011267 174.829351 \nL 142.817109 174.555397 \nL 140.46906 174.033769 \nL 137.970468 173.246237 \nL 135.326507 172.174295 \nL 132.54468 170.799748 \nL 129.635376 169.105402 \nL 126.612456 167.076005 \nL 123.493891 164.699399 \nL 120.302401 161.967954 \nL 117.066042 158.880179 \nL 113.818749 155.442549 \nL 110.600697 151.671461 \nL 107.458498 147.595148 \nL 104.445051 143.255397 \nL 101.619004 138.708833 \nL 99.043756 134.027506 \nL 96.785854 129.298407 \nL 94.91282 124.62173 \nL 93.490419 120.107654 \nL 92.579392 115.871625 \nL 92.231952 112.028309 \nL 92.488191 108.684726 \nL 93.372823 105.933149 \nL 94.89255 103.844685 \nL 97.034522 102.46429 \nL 99.765967 101.808113 \nL 103.035326 101.863327 \nL 106.774652 102.590679 \nL 110.903198 103.929167 \nL 115.331742 105.802222 \nL 119.96722 108.124471 \nL 124.717272 110.808144 \nL 129.494208 113.768553 \nL 134.218219 116.928222 \nL 138.819646 120.219443 \nL 143.240281 123.585436 \nL 147.433804 126.980431 \nL 151.365503 130.368884 \nL 155.011455 133.724216 \nL 158.357334 137.027331 \nL 161.397032 140.26512 \nL 164.131216 143.429053 \nL 166.5659 146.51401 \nL 168.711133 149.51726 \nL 170.579812 152.437715 \nL 172.186674 155.275306 \nL 173.547423 158.030574 \nL 174.678048 160.704357 \nL 175.594253 163.297562 \nL 176.311037 165.81103 \nL 176.842373 168.245444 \nL 177.200985 170.601251 \nL 177.39819 172.878613 \nL 177.443811 175.077376 \nL 177.346135 177.197035 \nL 177.111898 179.236673 \nL 176.746299 181.194937 \nL 176.253043 183.069978 \nL 175.634377 184.859382 \nL 174.891139 186.560082 \nL 174.022823 188.168285 \nL 173.02763 189.679334 \nL 171.902527 191.087602 \nL 170.643307 192.386328 \nL 169.244651 193.56746 \nL 167.700197 194.62144 \nL 166.00261 195.537014 \nL 164.143683 196.300956 \nL 162.114438 196.89783 \nL 159.905275 197.309694 \nL 157.506148 197.5158 \nL 154.90679 197.492303 \nL 152.097027 197.211979 \nL 149.067144 196.644 \nL 145.808392 195.753776 \nL 142.313595 194.502942 \nL 138.577929 192.849569 \nL 134.599876 190.748659 \nL 130.382377 188.153069 \nL 125.934217 185.015005 \nL 121.271637 181.288221 \nL 116.420149 176.931113 \nL 111.416536 171.910823 \nL 106.31094 166.208487 \nL 101.168836 159.825535 \nL 96.072759 152.790824 \nL 91.123374 145.168123 \nL 86.439596 137.063064 \nL 82.157143 128.628255 \nL 78.425266 120.064977 \nL 75.401052 111.619686 \nL 73.241321 103.573891 \nL 72.092149 96.226625 \nL 72.076863 89.87033 \nL 73.283574 84.762527 \nL 75.754092 81.097782 \nL 79.476047 78.984948 \nL 84.379899 78.434866 \nL 90.341852 79.361426 \nL 97.192568 81.596076 \nL 104.730561 84.912498 \nL 112.738187 89.056081 \nL 120.997791 93.772302 \nL 129.305871 98.82943 \nL 137.483773 104.03295 \nL 145.384223 109.231863 \nL 152.893927 114.318088 \nL 159.932915 119.221391 \nL 166.451599 123.902161 \nL 172.426494 128.343641 \nL 177.855396 132.544861 \nL 182.752613 136.514823 \nL 187.144591 140.268005 \nL 191.06615 143.821261 \nL 194.557363 147.191689 \nL 197.661089 150.395371 \nL 200.421088 153.446676 \nL 202.880622 156.357969 \nL 207.063331 161.799898 \nL 210.51597 166.781398 \nL 217.589827 177.398203 \nL 220.311184 180.913071 \nL 221.727386 182.503746 \nL 223.20255 183.97669 \nL 224.751878 185.325436 \nL 226.389784 186.542143 \nL 228.130026 187.617432 \nL 229.985818 188.540233 \nL 231.969897 189.297599 \nL 234.094535 189.874504 \nL 236.37152 190.253645 \nL 238.81206 190.415249 \nL 241.426616 190.336898 \nL 244.224677 189.993405 \nL 247.214403 189.35676 \nL 250.402202 188.396188 \nL 253.792144 187.078387 \nL 257.385257 185.367977 \nL 261.178659 183.228273 \nL 265.164553 180.62248 \nL 269.329006 177.515378 \nL 273.650652 173.875603 \nL 278.099231 169.678647 \nL 282.634118 164.910595 \nL 287.202887 159.57256 \nL 291.740133 153.685659 \nL 296.166669 147.296242 \nL 300.389452 140.480777 \nL 304.302475 133.349682 \nL 307.788925 126.049084 \nL 310.724928 118.759396 \nL 312.984945 111.689783 \nL 314.448838 105.067865 \nL 315.010166 99.124782 \nL 314.58513 94.076765 \nL 313.121107 90.105365 \nL 310.603596 87.339437 \nL 307.060391 85.842004 \nL 302.56208 85.60481 \nL 297.218476 86.55175 \nL 291.171288 88.550406 \nL 284.583964 91.429536 \nL 277.630154 94.998993 \nL 270.482287 99.06849 \nL 263.301616 103.462796 \nL 256.230683 108.031649 \nL 249.388542 112.654568 \nL 242.868679 117.241129 \nL 236.739177 121.728299 \nL 231.044561 126.075998 \nL 225.808673 130.262105 \nL 221.038078 134.277604 \nL 216.725553 138.122487 \nL 212.853383 141.802379 \nL 209.396306 145.326058 \nL 206.324025 148.703696 \nL 203.60326 151.945689 \nL 201.199377 155.061952 \nL 199.077638 158.061529 \nL 197.20411 160.952407 \nL 194.073605 166.434745 \nL 191.571638 171.552687 \nL 189.496426 176.336777 \nL 184.288547 188.851273 \nL 182.498189 192.428226 \nL 180.522254 195.698361 \nL 179.438307 197.212694 \nL 178.276485 198.642009 \nL 177.026251 199.981777 \nL 175.676833 201.226373 \nL 174.217112 202.36892 \nL 172.635546 203.40107 \nL 170.920098 204.312769 \nL 169.058183 205.091987 \nL 167.036651 205.724406 \nL 164.841799 206.193068 \nL 162.45942 206.477995 \nL 159.874912 206.555759 \nL 157.073442 206.399054 \nL 154.040207 205.976238 \nL 150.760804 205.250919 \nL 147.221723 204.181611 \nL 143.411018 202.721495 \nL 139.319173 200.818457 \nL 134.940228 198.415425 \nL 130.273174 195.451261 \nL 125.323683 191.862345 \nL 120.106174 187.585167 \nL 114.64626 182.560107 \nL 108.983461 176.736794 \nL 103.174174 170.081122 \nL 97.294672 162.584108 \nL 91.443764 154.272254 \nL 85.744815 145.218824 \nL 80.346358 135.554687 \nL 75.420683 125.47679 \nL 71.159597 115.251549 \nL 67.766645 105.210215 \nL 65.445536 95.733418 \nL 64.384895 87.223855 \nL 64.740552 80.068296 \nL 66.617481 74.593519 \nL 70.054055 71.024166 \nL 75.011984 69.45167 \nL 81.374357 69.822359 \nL 88.953067 71.948551 \nL 97.504839 75.540065 \nL 106.75321 80.248579 \nL 116.412647 85.714142 \nL 126.210855 91.604511 \nL 145.299064 103.611928 \nL 162.610401 114.823489 \nL 177.444646 124.677834 \nL 189.662871 133.146492 \nL 199.475751 140.418807 \nL 207.264581 146.720026 \nL 213.462256 152.235878 \nL 218.486355 157.094654 \nL 228.206507 166.764837 \nL 231.675137 169.669725 \nL 233.424484 170.90348 \nL 235.210833 171.982837 \nL 237.051642 172.899584 \nL 238.96234 173.644096 \nL 240.956455 174.205345 \nL 243.045674 174.570887 \nL 245.239855 174.726921 \nL 247.546975 174.658341 \nL 249.973016 174.348876 \nL 252.52177 173.781308 \nL 255.194587 172.93774 \nL 257.990046 171.800087 \nL 260.903543 170.35064 \nL 263.926821 168.572882 \nL 267.047463 166.452487 \nL 270.248296 163.978572 \nL 273.506866 161.145176 \nL 276.794859 157.952994 \nL 280.077686 154.411247 \nL 283.31416 150.539682 \nL 286.456434 146.370461 \nL 289.450289 141.949833 \nL 292.235803 137.339236 \nL 294.748551 132.615651 \nL 296.921392 127.870787 \nL 298.686836 123.208907 \nL 299.979999 118.743143 \nL 300.741974 114.59032 \nL 300.92347 110.86459 \nL 300.48836 107.670259 \nL 299.416846 105.094753 \nL 297.707838 103.2025 \nL 295.3802 102.030475 \nL 292.472692 101.586196 \nL 289.042434 101.848427 \nL 285.162107 102.770449 \nL 280.916071 104.285316 \nL 276.395839 106.312401 \nL 271.695396 108.764224 \nL 266.906736 111.55269 \nL 262.116074 114.594259 \nL 257.400866 117.813663 \nL 252.827832 121.145986 \nL 248.451911 124.537531 \nL 244.316072 127.945541 \nL 240.45178 131.33724 \nL 236.879958 134.688453 \nL 233.612261 137.982089 \nL 230.652521 141.206622 \nL 227.998186 144.354774 \nL 225.641744 147.422323 \nL 223.57201 150.407222 \nL 221.77526 153.30883 \nL 220.236215 156.127403 \nL 218.938853 158.863678 \nL 217.867061 161.518622 \nL 217.005155 164.093204 \nL 216.338279 166.588304 \nL 215.852683 169.004608 \nL 215.535936 171.342552 \nL 215.377048 173.602283 \nL 215.36655 175.783621 \nL 215.496524 177.886016 \nL 215.760606 179.90852 \nL 216.153962 181.849735 \nL 216.673247 183.707754 \nL 217.316567 185.480091 \nL 218.083412 187.163606 \nL 218.974612 188.754409 \nL 219.992272 190.24775 \nL 221.139719 191.637864 \nL 222.421442 192.917837 \nL 223.843029 194.079437 \nL 225.411106 195.112897 \nL 227.13325 196.006699 \nL 229.01791 196.747333 \nL 231.074285 197.319011 \nL 233.312183 197.703392 \nL 235.741846 197.879266 \nL 238.373697 197.822267 \nL 241.218047 197.504578 \nL 244.284689 196.894709 \nL 247.582395 195.957343 \nL 251.11828 194.653354 \nL 254.897005 192.940024 \nL 258.919787 190.771574 \nL 263.183214 188.100159 \nL 267.677811 184.877441 \nL 272.38641 181.056903 \nL 277.282243 176.597073 \nL 282.326945 171.465816 \nL 287.468417 165.645782 \nL 292.638818 159.140894 \nL 297.752898 151.9837 \nL 302.706947 144.242959 \nL 307.378863 136.030572 \nL 311.629746 127.50652 \nL 315.307531 118.880064 \nL 318.25297 110.405498 \nL 320.30823 102.370988 \nL 321.3277 95.079844 \nL 321.190366 88.825293 \nL 319.812378 83.861433 \nL 317.158012 80.37502 \nL 313.247157 78.463449 \nL 308.157609 78.123843 \nL 302.021305 79.256119 \nL 295.014742 81.679376 \nL 287.344878 85.158134 \nL 279.232713 89.432508 \nL 270.897043 94.246585 \nL 262.540486 99.370419 \nL 254.33925 104.613431 \nL 246.437092 109.829606 \nL 231.933522 119.807258 \nL 225.453552 124.467666 \nL 219.523302 128.883619 \nL 214.141973 133.056445 \nL 209.292808 136.99671 \nL 204.947439 140.719914 \nL 201.069598 144.243481 \nL 197.618168 147.584778 \nL 194.549575 150.759946 \nL 191.819616 153.783293 \nL 187.203205 159.421339 \nL 183.443779 164.572377 \nL 173.293851 179.215659 \nL 170.443665 182.428178 \nL 168.932287 183.85549 \nL 167.342903 185.15464 \nL 165.661189 186.317203 \nL 163.873486 187.333186 \nL 161.966706 188.19084 \nL 159.928288 188.876465 \nL 157.746179 189.374237 \nL 155.408909 189.666014 \nL 152.905679 189.731157 \nL 150.22658 189.54639 \nL 147.36285 189.0857 \nL 144.307253 188.320354 \nL 141.054576 187.219042 \nL 137.602237 185.748188 \nL 133.951057 183.872564 \nL 130.106165 181.556215 \nL 126.078072 178.763853 \nL 121.883891 175.462759 \nL 117.548685 171.625343 \nL 113.106894 167.232381 \nL 108.603751 162.276947 \nL 104.096561 156.768989 \nL 99.655698 150.740303 \nL 95.365066 144.249458 \nL 91.32177 137.386178 \nL 87.634695 130.274161 \nL 84.421703 123.071515 \nL 81.805305 115.96765 \nL 79.906675 109.17593 \nL 78.838181 102.921619 \nL 78.695026 97.425881 \nL 79.546627 92.887135 \nL 81.428891 89.462341 \nL 84.338552 87.251376 \nL 88.230574 86.287242 \nL 93.019341 86.534368 \nL 98.583673 87.895257 \nL 104.775195 90.22427 \nL 111.428877 93.345731 \nL 118.374302 97.073019 \nL 125.44627 101.225491 \nL 132.493594 105.641205 \nL 139.385344 110.184506 \nL 146.01448 114.748957 \nL 152.298961 119.256439 \nL 158.180936 123.653802 \nL 163.624525 127.908361 \nL 168.612802 132.003093 \nL 173.14444 135.932218 \nL 177.230369 139.697474 \nL 180.890696 143.305216 \nL 184.151983 146.764253 \nL 187.044969 150.084366 \nL 189.602717 153.275349 \nL 191.859158 156.346417 \nL 193.847992 159.305919 \nL 195.601895 162.161219 \nL 198.52739 167.583778 \nL 200.860395 172.654538 \nL 202.791619 177.402194 \nL 207.623775 189.869662 \nL 209.282389 193.455606 \nL 211.113059 196.751396 \nL 213.194829 199.74175 \nL 214.354516 201.114571 \nL 215.606922 202.399905 \nL 216.96262 203.591963 \nL 218.432632 204.683668 \nL 220.028521 205.666427 \nL 221.762446 206.529882 \nL 223.647207 207.261632 \nL 225.696259 207.846882 \nL 227.923698 208.268097 \nL 230.344211 208.50457 \nL 232.972954 208.531972 \nL 235.825384 208.321885 \nL 238.916987 207.841307 \nL 242.262896 207.052199 \nL 245.877371 205.911087 \nL 249.773095 204.368796 \nL 253.960264 202.370457 \nL 258.445392 199.855842 \nL 263.229841 196.760284 \nL 268.307969 193.01635 \nL 273.664919 188.556589 \nL 279.274014 183.317627 \nL 285.093824 177.24592 \nL 291.064961 170.305385 \nL 297.10686 162.487013 \nL 303.114885 153.820191 \nL 308.958207 144.384949 \nL 314.479137 134.323732 \nL 319.494788 123.850398 \nL 323.801817 113.253476 \nL 327.185044 102.890313 \nL 329.430323 93.169181 \nL 330.341266 84.518175 \nL 329.758497 77.342681 \nL 327.579157 71.977048 \nL 323.773268 68.63951 \nL 318.393629 67.400866 \nL 311.576453 68.1754 \nL 303.531749 70.737205 \nL 294.52462 74.75827 \nL 284.850695 79.85847 \nL 274.810126 85.655811 \nL 264.684314 91.806733 \nL 245.111344 104.121234 \nL 219.692885 120.488456 \nL 206.0959 129.507111 \nL 195.104223 137.160365 \nL 186.363076 143.699641 \nL 179.428643 149.348253 \nL 173.855822 154.267304 \nL 163.382294 163.911182 \nL 159.79073 166.76792 \nL 158.008505 167.973614 \nL 156.206246 169.023369 \nL 154.36536 169.909829 \nL 152.469622 170.624311 \nL 150.505011 171.156857 \nL 148.459634 171.496274 \nL 146.323696 171.630224 \nL 144.089508 171.545323 \nL 141.751575 171.227321 \nL 139.30674 170.661346 \nL 136.754406 169.832249 \nL 134.096791 168.725045 \nL 131.339271 167.32552 \nL 128.490762 165.620976 \nL 125.564148 163.601178 \nL 122.576693 161.259474 \nL 119.550493 158.594083 \nL 116.512856 155.609577 \nL 113.496578 152.318416 \nL 110.540069 148.742495 \nL 107.687269 144.914618 \nL 104.987272 140.879621 \nL 102.493561 136.69503 \nL 100.262854 132.431008 \nL 98.353434 128.169325 \nL 96.823069 124.001286 \nL 95.726498 120.024448 \nL 95.112609 116.338253 \nL 95.021491 113.03882 \nL 95.481612 110.213294 \nL 96.507382 107.934357 \nL 98.097363 106.255509 \nL 100.233407 105.207783 \nL 102.880834 104.798253 \nL 105.989743 105.010613 \nL 109.497316 105.807702 \nL 113.330947 107.135538 \nL 117.411869 108.92829 \nL 121.658955 111.113652 \nL 125.992311 113.61776 \nL 130.336434 116.369422 \nL 134.622733 119.303184 \nL 138.791264 122.361391 \nL 142.791745 125.495089 \nL 146.58388 128.6641 \nL 150.137122 131.83651 \nL 153.43 134.98771 \nL 156.449158 138.09929 \nL 159.188231 141.157882 \nL 161.646655 144.154076 \nL 163.828486 147.081458 \nL 165.741304 149.935799 \nL 167.395209 152.7144 \nL 168.801959 155.415584 \nL 169.97422 158.038298 \nL 170.924956 160.581847 \nL 171.666935 163.045632 \nL 172.212338 165.429046 \nL 172.572472 167.731318 \nL 172.757544 169.951419 \nL 172.776525 172.088015 \nL 172.637045 174.139376 \nL 172.345349 176.1033 \nL 171.90627 177.977066 \nL 171.323244 179.757333 \nL 170.59833 181.440042 \nL 169.732259 183.020348 \nL 168.724479 184.492478 \nL 167.573228 185.84959 \nL 166.275602 187.083654 \nL 164.827642 188.185266 \nL 163.224435 189.143449 \nL 161.460221 189.9455 \nL 159.528537 190.576733 \nL 157.422388 191.020284 \nL 155.134442 191.256895 \nL 152.657293 191.264709 \nL 149.983763 191.019094 \nL 147.107311 190.492551 \nL 144.022503 189.65469 \nL 140.7256 188.472372 \nL 137.215284 186.91004 \nL 133.49352 184.930343 \nL 129.566569 182.495132 \nL 125.446179 179.566927 \nL 121.150921 176.110973 \nL 116.707653 172.098 \nL 112.153089 167.507714 \nL 107.535318 162.33306 \nL 102.915219 156.585186 \nL 98.367526 150.298841 \nL 93.98131 143.537682 \nL 89.859582 136.398958 \nL 86.117699 129.016421 \nL 82.88029 121.560543 \nL 80.276417 114.234753 \nL 78.43302 107.266928 \nL 77.46676 100.895836 \nL 77.474932 95.353275 \nL 78.52626 90.843592 \nL 80.652809 87.523711 \nL 83.84429 85.486865 \nL 88.045905 84.753467 \nL 93.16029 85.270822 \nL 99.053693 86.9222 \nL 105.565506 89.543072 \nL 112.519917 92.941441 \nL 119.738023 96.918407 \nL 127.04889 101.285689 \nL 134.298402 105.878055 \nL 141.355282 110.560213 \nL 148.114218 115.228601 \nL 154.49644 119.809442 \nL 160.448314 124.254552 \nL 165.938661 128.536144 \nL 170.955331 132.641631 \nL 175.501576 136.569009 \nL 179.592534 140.323099 \nL 183.252048 143.912636 \nL 186.509914 147.348219 \nL 189.399614 150.640922 \nL 191.956497 153.80143 \nL 194.21638 156.839556 \nL 196.214507 159.763993 \nL 197.98481 162.582275 \nL 200.968375 167.92496 \nL 203.398252 172.907119 \nL 207.346825 181.885469 \nL 210.086082 187.799977 \nL 212.023079 191.352556 \nL 214.161407 194.578416 \nL 215.334174 196.061541 \nL 216.590746 197.452515 \nL 217.942258 198.74583 \nL 219.400051 199.934728 \nL 220.975763 201.011028 \nL 222.681417 201.964874 \nL 224.529463 202.784501 \nL 226.532809 203.455924 \nL 228.704817 203.962627 \nL 231.059246 204.285184 \nL 233.610161 204.400882 \nL 236.371752 204.283317 \nL 239.358093 203.901984 \nL 242.582788 203.221912 \nL 246.058467 202.203356 \nL 249.796169 200.801631 \nL 253.804482 198.967177 \nL 258.088487 196.645943 \nL 262.648419 193.780274 \nL 267.478038 190.310482 \nL 272.562672 186.177319 \nL 277.876966 181.325564 \nL 283.382313 175.709072 \nL 289.02415 169.297297 \nL 294.729201 162.083459 \nL 300.403049 154.094076 \nL 305.928362 145.399228 \nL 311.164406 136.122401 \nL 315.948394 126.448117 \nL 320.099456 116.624975 \nL 323.425798 106.961488 \nL 325.735342 97.812274 \nL 326.849612 89.553604 \nL 326.619943 82.549233 \nL 324.944118 77.110695 \nL 321.780965 73.458675 \nL 317.160074 71.693667 \nL 311.184265 71.783269 \nL 304.02366 73.56977 \nL 295.901801 76.796538 \nL 287.076031 81.146933 \nL 277.81544 86.286539 \nL 268.379995 91.900189 \nL 259.0036 97.717945 \nL 241.171305 109.180348 \nL 225.377716 119.666698 \nL 212.058809 128.866921 \nL 206.334883 132.996752 \nL 201.199699 136.841927 \nL 196.612237 140.428406 \nL 192.524751 143.781743 \nL 188.886002 146.925373 \nL 182.746126 152.662021 \nL 177.789138 157.76288 \nL 166.64639 169.829868 \nL 163.308556 172.801273 \nL 161.599381 174.074597 \nL 159.838259 175.196992 \nL 158.008684 176.159627 \nL 156.095814 176.952186 \nL 154.086386 177.5628 \nL 151.968652 177.978008 \nL 149.732398 178.182739 \nL 147.369006 178.16033 \nL 144.871601 177.892575 \nL 142.235268 177.359884 \nL 139.457348 176.541534 \nL 136.537814 175.416057 \nL 133.47974 173.961798 \nL 130.28986 172.1577 \nL 126.979184 169.984344 \nL 123.563703 167.425261 \nL 120.065116 164.468594 \nL 116.511548 161.109041 \nL 112.938226 157.350112 \nL 109.388021 153.20658 \nL 105.911744 148.706984 \nL 102.568106 143.895972 \nL 99.423245 138.836164 \nL 96.549589 133.609199 \nL 94.024088 128.315477 \nL 91.925639 123.072277 \nL 90.33174 118.009934 \nL 89.314515 113.265944 \nL 88.936259 108.977338 \nL 89.244916 105.271749 \nL 90.269909 102.258215 \nL 92.018803 100.018872 \nL 94.475306 98.602667 \nL 97.598939 98.022134 \nL 101.326562 98.253813 \nL 105.575657 99.24206 \nL 110.248996 100.905837 \nL 115.240275 103.147081 \nL 120.439986 105.859662 \nL 125.740995 108.937469 \nL 131.043313 112.281018 \nL 136.257744 115.801992 \nL 141.308247 119.425728 \nL 146.133126 123.091937 \nL 150.685122 126.754079 \nL 154.930686 130.377832 \nL 158.848689 133.939163 \nL 162.428764 137.422245 \nL 165.669496 140.817557 \nL 168.576643 144.120149 \nL 171.161433 147.328276 \nL 173.43904 150.442296 \nL 175.427267 153.46387 \nL 177.145438 156.395372 \nL 178.613489 159.239471 \nL 179.851259 161.998891 \nL 180.877942 164.676253 \nL 181.711681 167.273954 \nL 182.369286 169.794144 \nL 182.866048 172.238706 \nL 183.21563 174.609241 \nL 183.430018 176.907085 \nL 183.51952 179.133292 \nL 183.35688 183.373645 \nL 182.778097 187.33316 \nL 181.81004 191.009555 \nL 181.18254 192.739206 \nL 180.458233 194.394287 \nL 179.634783 195.972443 \nL 178.70873 197.470635 \nL 177.675523 198.885042 \nL 176.529543 200.210921 \nL 175.264127 201.442459 \nL 173.871585 202.57259 \nL 172.34322 203.592785 \nL 170.669341 204.492813 \nL 168.839305 205.260463 \nL 166.841554 205.881219 \nL 164.663686 206.337927 \nL 162.29256 206.610387 \nL 159.714431 206.674938 \nL 156.915183 206.504014 \nL 153.880591 206.065686 \nL 150.596733 205.323263 \nL 147.05051 204.234911 \nL 143.23034 202.753469 \nL 139.127055 200.826446 \nL 134.735041 198.396416 \nL 130.053671 195.401904 \nL 125.089046 191.779024 \nL 119.856106 187.464105 \nL 114.381088 182.397574 \nL 108.704281 176.529349 \nL 102.88301 169.826007 \nL 96.994628 162.279695 \nL 91.139201 153.918648 \nL 85.441484 144.818465 \nL 80.051458 135.11302 \nL 75.14285 125.002772 \nL 70.908699 114.757914 \nL 67.553443 104.713309 \nL 65.281061 95.252473 \nL 64.279708 86.779593 \nL 64.703816 79.680977 \nL 66.655967 74.280698 \nL 70.171354 70.798481 \nL 75.207914 69.31927 \nL 81.644817 69.782284 \nL 89.290356 71.993232 \nL 97.898396 75.656864 \nL 107.190671 80.421876 \nL 116.880962 85.927513 \nL 126.697349 91.842526 \nL 145.789301 103.862462 \nL 163.073637 115.055989 \nL 177.865526 124.879705 \nL 190.037845 133.315388 \nL 199.808611 140.556567 \nL 207.562827 146.829306 \nL 213.734678 152.318724 \nL 218.741637 157.152103 \nL 228.451055 166.756942 \nL 231.925301 169.63269 \nL 233.679018 170.850835 \nL 235.470598 171.913777 \nL 237.317354 172.813201 \nL 239.234577 173.539406 \nL 241.235639 174.081276 \nL 243.332064 174.426311 \nL 245.53353 174.560655 \nL 247.84781 174.469177 \nL 250.280653 174.135625 \nL 252.835601 173.542814 \nL 255.51371 172.672974 \nL 258.313225 171.508185 \nL 261.229175 170.03102 \nL 264.252887 168.22533 \nL 267.371483 166.077294 \nL 270.567316 163.576654 \nL 273.817402 160.718254 \nL 277.092909 157.50374 \nL 280.358715 153.943429 \nL 283.573161 150.058291 \nL 286.68799 145.881809 \nL 289.648684 141.461557 \nL 292.395195 136.860243 \nL 294.863187 132.155907 \nL 296.985871 127.441005 \nL 298.696415 122.82009 \nL 299.930929 118.405995 \nL 300.631835 114.314594 \nL 300.751447 110.658361 \nL 300.255496 107.539332 \nL 299.126176 105.042194 \nL 297.364378 103.228292 \nL 294.990827 102.131552 \nL 292.045861 101.756718 \nL 288.587784 102.080294 \nL 284.689994 103.05395 \nL 280.437042 104.609954 \nL 275.92015 106.667608 \nL 271.232574 109.139983 \nL 266.465242 111.940008 \nL 261.703053 114.985516 \nL 257.022036 118.202643 \nL 252.487472 121.52791 \nL 248.152929 124.908913 \nL 244.060126 128.304011 \nL 240.239456 131.681324 \nL 236.710963 135.017372 \nL 233.485606 138.295552 \nL 230.566708 141.504689 \nL 227.951372 144.637701 \nL 225.631887 147.690496 \nL 223.596986 150.661044 \nL 221.832966 153.548712 \nL 220.324642 156.353704 \nL 219.056143 159.076698 \nL 218.011553 161.718567 \nL 217.175411 164.280209 \nL 216.533106 166.762397 \nL 216.07114 169.165728 \nL 215.77734 171.490528 \nL 215.64097 173.73685 \nL 215.652813 175.904384 \nL 215.805198 177.992471 \nL 216.091998 180.000023 \nL 216.508609 181.925492 \nL 217.051909 183.766804 \nL 217.720214 185.521296 \nL 218.51322 187.185612 \nL 219.431951 188.755625 \nL 220.478701 190.226304 \nL 221.656971 191.591581 \nL 222.971413 192.844196 \nL 224.427765 193.975513 \nL 226.032781 194.975316 \nL 227.794148 195.831588 \nL 229.720387 196.530245 \nL 231.820735 197.054875 \nL 234.104986 197.386444 \nL 236.583293 197.502998 \nL 239.265907 197.379371 \nL 242.162854 196.986919 \nL 245.283507 196.293322 \nL 248.636048 195.262478 \nL 252.226782 193.854575 \nL 256.059306 192.02639 \nL 260.133471 189.731966 \nL 264.444138 186.923732 \nL 268.979694 183.554263 \nL 273.720381 179.578821 \nL 278.636354 174.958857 \nL 283.685697 169.666539 \nL 288.812309 163.690455 \nL 293.944027 157.042275 \nL 298.99111 149.764103 \nL 303.845527 141.935858 \nL 308.381403 133.681633 \nL 312.457136 125.173628 \nL 315.919633 116.631962 \nL 318.610955 108.318644 \nL 320.377418 100.524462 \nL 321.080782 93.548673 \nL 320.610632 87.672775 \nL 318.896458 83.131786 \nL 315.91767 80.087716 \nL 311.709663 78.610543 \nL 306.364492 78.671117 \nL 300.025546 80.147828 \nL 292.876742 82.845732 \nL 285.127867 86.523818 \nL 276.998224 90.924666 \nL 268.701085 95.800945 \nL 260.430806 100.9349 \nL 252.353814 106.149397 \nL 244.603698 111.311198 \nL 237.280032 116.328286 \nL 230.45007 121.143708 \nL 224.152325 125.72794 \nL 218.401144 130.071322 \nL 213.191557 134.177477 \nL 208.503915 138.058025 \nL 204.308027 141.728669 \nL 200.566672 145.206528 \nL 197.238435 148.508367 \nL 194.279942 151.649609 \nL 191.64753 154.643816 \nL 187.191798 160.235254 \nL 183.553554 165.35162 \nL 174.977375 178.16158 \nL 172.236948 181.592565 \nL 170.801231 183.13891 \nL 169.300486 184.565322 \nL 167.719847 185.864832 \nL 166.045184 187.029031 \nL 164.262965 188.047916 \nL 162.360169 188.909724 \nL 160.324235 189.600743 \nL 158.143066 190.105095 \nL 155.805072 190.404558 \nL 153.29929 190.478354 \nL 150.615576 190.30301 \nL 147.74488 189.852241 \nL 144.679616 189.096935 \nL 141.414156 188.005282 \nL 137.945461 186.543059 \nL 134.273836 184.674217 \nL 130.403857 182.361781 \nL 126.345458 179.569214 \nL 122.115187 176.262322 \nL 117.737577 172.411831 \nL 113.246617 167.996614 \nL 108.687244 163.00775 \nL 104.116687 157.453193 \nL 99.605555 151.362879 \nL 95.238392 144.793966 \nL 91.113437 137.835406 \nL 87.341294 130.611172 \nL 84.042191 123.280938 \nL 81.341616 116.037215 \nL 79.364264 109.098076 \nL 78.226429 102.694975 \nL 78.027326 97.056322 \nL 78.840167 92.388088 \nL 80.704032 88.854322 \nL 83.617818 86.56045 \nL 87.537369 85.542866 \nL 92.376477 85.766667 \nL 98.011983 87.132385 \nL 104.292332 89.490222 \nL 111.048453 92.658882 \nL 118.1055 96.445579 \nL 125.293863 100.663729 \nL 132.458319 105.146285 \nL 139.464569 109.753688 \nL 146.20295 114.376829 \nL 152.589619 118.936006 \nL 158.565652 123.377459 \nL 164.094739 127.668531 \nL 169.160034 131.792659 \nL 173.760662 135.744776 \nL 177.908273 139.527423 \nL 181.623852 143.147743 \nL 184.934931 146.615284 \nL 187.873247 149.940466 \nL 190.472848 153.133615 \nL 192.768615 156.204384 \nL 194.795148 159.161445 \nL 196.585964 162.012412 \nL 199.585989 167.421203 \nL 201.999031 172.471754 \nL 204.936708 179.43529 \nL 208.362264 187.654767 \nL 210.126372 191.318638 \nL 212.051701 194.677994 \nL 214.223906 197.715992 \nL 215.42881 199.105978 \nL 216.727085 200.403566 \nL 218.129684 201.602543 \nL 219.647935 202.695343 \nL 221.293621 203.672819 \nL 223.079034 204.523995 \nL 225.017021 205.235776 \nL 227.120983 205.79261 \nL 229.404848 206.176131 \nL 231.882995 206.364763 \nL 234.570117 206.333277 \nL 237.481011 206.052358 \nL 240.630271 205.488168 \nL 244.031862 204.601956 \nL 247.698538 203.349769 \nL 251.641087 201.682345 \nL 255.867348 199.545265 \nL 260.380945 196.87957 \nL 265.179763 193.622952 \nL 270.254041 189.711792 \nL 275.584139 185.084304 \nL 281.137963 179.685053 \nL 286.868116 173.471056 \nL 292.708927 166.4197 \nL 298.573561 158.538304 \nL 304.351666 149.874985 \nL 309.907956 140.529834 \nL 315.082527 130.66481 \nL 319.693541 120.510009 \nL 323.543128 110.363419 \nL 326.426965 100.581336 \nL 328.147652 91.557244 \nL 328.531235 83.689095 \nL 327.445301 77.33792 \nL 324.816166 72.783916 \nL 320.642126 70.188852 \nL 314.999741 69.573743 \nL 308.041313 70.818022 \nL 299.983111 73.681019 \nL 291.086167 77.84065 \nL 281.632925 82.939685 \nL 271.903722 88.629476 \nL 262.156645 94.603094 \nL 243.449983 106.483625 \nL 226.741614 117.375978 \nL 212.577382 126.880527 \nL 200.994122 135.042573 \nL 196.094709 138.683478 \nL 191.727895 142.069294 \nL 184.378303 148.178566 \nL 178.513285 153.541502 \nL 173.725874 158.272357 \nL 166.013936 166.057702 \nL 162.544058 169.132915 \nL 160.811356 170.456889 \nL 159.051487 171.630892 \nL 157.245834 172.647466 \nL 155.377872 173.497756 \nL 153.433013 174.171478 \nL 151.398514 174.656928 \nL 149.263432 174.940994 \nL 147.018648 175.009189 \nL 144.656941 174.845766 \nL 142.173141 174.433846 \nL 139.564337 173.755662 \nL 136.830191 172.792915 \nL 133.973283 171.527306 \nL 130.999569 169.941161 \nL 127.918859 168.018355 \nL 124.745403 165.745412 \nL 121.498437 163.112851 \nL 118.202773 160.116803 \nL 114.889343 156.760837 \nL 111.595567 153.057928 \nL 108.365629 149.032453 \nL 105.250405 144.722115 \nL 102.307058 140.179422 \nL 99.598151 135.472586 \nL 97.190209 130.685473 \nL 95.151703 125.916256 \nL 93.55037 121.274661 \nL 92.450063 116.877581 \nL 91.907142 112.843277 \nL 91.966796 109.284456 \nL 92.659514 106.300978 \nL 93.998134 103.972872 \nL 95.975836 102.35465 \nL 98.565389 101.471744 \nL 101.719792 101.319564 \nL 105.374392 101.865296 \nL 109.450224 103.052152 \nL 113.858285 104.805446 \nL 118.50427 107.039479 \nL 123.293304 109.664376 \nL 128.134238 112.592058 \nL 132.943184 115.740955 \nL 137.646141 119.039001 \nL 142.180575 122.425279 \nL 146.496104 125.850287 \nL 150.554377 129.275356 \nL 154.328358 132.671395 \nL 157.801184 136.017402 \nL 160.964775 139.298904 \nL 163.818355 142.506457 \nL 166.366972 145.634366 \nL 168.620122 148.679609 \nL 170.590495 151.640977 \nL 172.292894 154.518455 \nL 173.743318 157.312692 \nL 174.958198 160.024708 \nL 175.953816 162.655634 \nL 176.74582 165.206555 \nL 177.348886 167.678399 \nL 177.776471 170.071882 \nL 178.040632 172.387452 \nL 178.151936 174.625262 \nL 178.119394 176.785115 \nL 177.950453 178.866454 \nL 177.651001 180.868304 \nL 177.225406 182.789251 \nL 176.676554 184.627352 \nL 176.005903 186.380098 \nL 175.213539 188.044294 \nL 174.298231 189.615985 \nL 173.257484 191.090342 \nL 172.087605 192.46151 \nL 170.783747 193.722461 \nL 169.339978 194.86482 \nL 167.749341 195.878641 \nL 166.003932 196.752196 \nL 164.094982 197.471709 \nL 162.01298 198.02109 \nL 159.747808 198.38161 \nL 157.288927 198.531624 \nL 154.625621 198.44623 \nL 151.747308 198.097 \nL 148.64395 197.451723 \nL 145.306559 196.474274 \nL 141.727869 195.124611 \nL 137.903137 193.359004 \nL 133.831174 191.130605 \nL 129.515566 188.390468 \nL 124.966131 185.089202 \nL 120.200647 181.179361 \nL 115.246758 176.618814 \nL 110.144092 171.375237 \nL 104.946412 165.431735 \nL 99.723691 158.793616 \nL 94.563821 151.49599 \nL 89.573599 143.611589 \nL 84.878628 135.257853 \nL 80.621559 126.601804 \nL 76.958216 117.860999 \nL 74.051217 109.298654 \nL 72.061014 101.211499 \nL 71.134571 93.909891 \nL 71.392552 87.691219 \nL 72.916488 82.80982 \nL 75.737687 79.448134 \nL 79.830007 77.694892 \nL 85.108075 77.53533 \nL 91.431788 78.855853 \nL 98.616803 81.462477 \nL 106.449438 85.108743 \nL 114.703669 89.527059 \nL 123.157689 94.457473 \nL 131.607874 99.669248 \nL 139.878747 104.973605 \nL 147.828598 110.227885 \nL 162.3738 120.228374 \nL 168.854476 124.881358 \nL 174.776426 129.281701 \nL 180.14339 133.433196 \nL 184.974662 137.348244 \nL 189.300732 141.043635 \nL 193.159584 144.537669 \nL 196.593689 147.848243 \nL 199.647656 150.991796 \nL 202.366464 153.982741 \nL 206.973068 159.553516 \nL 210.741341 164.633036 \nL 219.664977 177.240072 \nL 222.52721 180.566281 \nL 224.027274 182.051178 \nL 225.595067 183.409207 \nL 227.245636 184.632636 \nL 228.9932 185.712215 \nL 230.85126 186.637028 \nL 232.832675 187.394334 \nL 234.949693 187.969377 \nL 237.213926 188.345238 \nL 239.636253 188.502642 \nL 242.226685 188.41983 \nL 244.994113 188.072475 \nL 247.945988 187.433646 \nL 251.087886 186.473939 \nL 254.422956 185.161756 \nL 257.951233 183.463796 \nL 261.668805 181.345859 \nL 265.566853 178.77406 \nL 269.630526 175.716513 \nL 273.837695 172.14555 \nL 278.157622 168.040628 \nL 282.549643 163.391849 \nL 286.961897 158.204093 \nL 291.330307 152.501586 \nL 295.57801 146.332587 \nL 299.615431 139.773685 \nL 303.341312 132.932942 \nL 306.644942 125.951073 \nL 309.409798 118.999663 \nL 311.518694 112.275572 \nL 312.860395 105.991223 \nL 313.337255 100.360704 \nL 312.87336 95.583053 \nL 311.422159 91.824596 \nL 308.972618 89.202918 \nL 305.5528 87.775444 \nL 301.230119 87.534792 \nL 296.107981 88.411944 \nL 290.319063 90.286591 \nL 284.016108 93.002632 \nL 277.361452 96.385844 \nL 270.516656 100.260826 \nL 263.633412 104.464658 \nL 256.846547 108.856241 \nL 250.269517 113.3209 \nL 243.992292 117.771165 \nL 238.081327 122.144655 \nL 232.581074 126.400344 \nL 227.516501 130.51418 \nL 222.896141 134.474774 \nL 218.715264 138.279608 \nL 214.958936 141.931945 \nL 211.604775 145.438446 \nL 208.625321 148.807496 \nL 205.990011 152.048016 \nL 203.666754 155.168758 \nL 201.623155 158.177865 \nL 199.827426 161.082684 \nL 198.249033 163.889697 \nL 195.630834 169.232031 \nL 193.561896 174.241052 \nL 191.868616 178.943298 \nL 187.05901 193.216654 \nL 185.613961 196.703653 \nL 183.999551 199.927839 \nL 182.147672 202.878753 \nL 181.110951 204.24597 \nL 179.98822 205.536506 \nL 178.769828 206.745848 \nL 177.44559 207.868401 \nL 176.004701 208.897283 \nL 174.435663 209.824118 \nL 172.726232 210.638769 \nL 170.863362 211.329031 \nL 168.833194 211.880291 \nL 166.621056 212.275114 \nL 164.211502 212.492814 \nL 161.588416 212.508934 \nL 158.735152 212.294728 \nL 155.634799 211.816574 \nL 152.270518 211.035429 \nL 148.626057 209.906296 \nL 144.686418 208.377813 \nL 140.438773 206.392062 \nL 135.87364 203.884708 \nL 130.986406 200.785686 \nL 125.779223 197.020661 \nL 120.263345 192.51359 \nL 114.461918 187.190716 \nL 108.413208 180.986413 \nL 102.174191 173.851173 \nL 95.824296 165.761956 \nL 89.468969 156.734797 \nL 83.24259 146.838965 \nL 77.309894 136.21125 \nL 71.865129 125.067953 \nL 67.127783 113.711079 \nL 63.333947 102.524727 \nL 60.722754 91.957715 \nL 59.517984 82.490234 \nL 59.906146 74.585864 \nL 62.013612 68.634818 \nL 65.886672 64.899018 \nL 71.478594 63.472195 \nL 78.647425 64.266012 \nL 87.165923 67.027231 \nL 96.742628 71.382096 \nL 107.050202 76.895919 \nL 117.755755 83.133344 \nL 128.547944 89.706179 \nL 168.00273 114.361673 \nL 190.574295 128.542326 \nL 202.099188 136.02087 \nL 211.240607 142.271071 \nL 218.4819 147.553652 \nL 226.805554 154.044 \nL 233.27531 159.08604 \nL 237.080161 161.692792 \nL 238.920377 162.766387 \nL 240.750941 163.681507 \nL 242.591759 164.432527 \nL 244.45982 165.012674 \nL 246.369365 165.414164 \nL 248.332025 165.628357 \nL 250.35688 165.645911 \nL 252.450504 165.456978 \nL 254.616931 165.051472 \nL 256.857595 164.419366 \nL 259.171194 163.551076 \nL 261.553552 162.437938 \nL 263.997401 161.072794 \nL 266.492193 159.45065 \nL 269.023857 157.569469 \nL 271.574612 155.431032 \nL 274.122795 153.041872 \nL 276.642787 150.414235 \nL 279.105012 147.567028 \nL 281.476135 144.526615 \nL 283.719405 141.327428 \nL 285.795255 138.012256 \nL 287.662148 134.6321 \nL 289.277695 131.245454 \nL 290.600054 127.917001 \nL 291.589544 124.715614 \nL 292.210442 121.71179 \nL 292.432829 118.974556 \nL 292.234418 116.5681 \nL 291.602137 114.54843 \nL 290.533369 112.96035 \nL 289.036697 111.835095 \nL 287.13204 111.188851 \nL 284.85017 111.022439 \nL 282.231551 111.322005 \nL 279.324675 112.060814 \nL 276.18396 113.201687 \nL 272.867433 114.700011 \nL 269.434344 116.506806 \nL 265.942918 118.571602 \nL 262.448418 120.844914 \nL 259.001534 123.28021 \nL 255.647267 125.835199 \nL 252.424204 128.472615 \nL 249.364243 131.16045 \nL 246.492645 133.871849 \nL 243.828372 136.58473 \nL 241.384641 139.281213 \nL 239.1696 141.947007 \nL 237.18707 144.570782 \nL 235.43732 147.143574 \nL 233.917806 149.658223 \nL 232.623855 152.10895 \nL 231.549312 154.490942 \nL 230.687077 156.80003 \nL 230.029577 159.032445 \nL 229.569152 161.184583 \nL 229.298391 163.252829 \nL 229.210363 165.233426 \nL 229.298821 167.122314 \nL 229.558332 168.91504 \nL 229.984361 170.606637 \nL 230.573335 172.191515 \nL 231.322649 173.663354 \nL 232.230655 175.014978 \nL 233.296619 176.238269 \nL 234.520648 177.324031 \nL 235.903597 178.261869 \nL 237.446954 179.040059 \nL 239.152682 179.645467 \nL 241.023037 180.063406 \nL 243.060352 180.277599 \nL 245.26676 180.270107 \nL 247.643902 180.021336 \nL 250.19253 179.510164 \nL 252.912086 178.714086 \nL 255.800176 177.609571 \nL 258.851995 176.172574 \nL 262.059638 174.379249 \nL 265.411372 172.206971 \nL 268.890791 169.635653 \nL 272.475975 166.6494 \nL 276.138588 163.238572 \nL 279.843049 159.402175 \nL 283.545829 155.150536 \nL 287.194913 150.508153 \nL 290.729642 145.516438 \nL 294.081018 140.236108 \nL 297.17264 134.748753 \nL 299.922376 129.157119 \nL 302.244939 123.583655 \nL 304.05529 118.166875 \nL 305.272927 113.055398 \nL 305.826714 108.399769 \nL 305.659987 104.342585 \nL 304.735378 101.008027 \nL 303.038864 98.492016 \nL 300.582392 96.854494 \nL 297.404659 96.114999 \nL 293.569834 96.252434 \nL 289.164192 97.208913 \nL 284.291065 98.897129 \nL 279.064646 101.209821 \nL 273.603385 104.030021 \nL 268.023638 107.240503 \nL 262.434234 110.731403 \nL 256.932296 114.405549 \nL 251.600494 118.181304 \nL 246.505695 121.993365 \nL 241.698849 125.791965 \nL 237.21579 129.541072 \nL 233.078726 133.216083 \nL 229.298083 136.801467 \nL 225.874527 140.288488 \nL 222.800967 143.673319 \nL 220.064426 146.955463 \nL 217.647714 150.136557 \nL 215.530871 153.219476 \nL 213.692361 156.207715 \nL 212.110046 159.104982 \nL 210.761943 161.914923 \nL 209.626799 164.640991 \nL 208.684506 167.286354 \nL 207.916389 169.85387 \nL 207.305387 172.346102 \nL 206.836155 174.765309 \nL 206.270336 179.392381 \nL 206.130664 183.748188 \nL 206.354717 187.842329 \nL 206.90333 191.681034 \nL 207.757897 195.266798 \nL 208.918058 198.597597 \nL 210.399961 201.665566 \nL 211.270855 203.096448 \nL 212.235213 204.454956 \nL 213.299332 205.737413 \nL 214.470453 206.939229 \nL 215.756771 208.054726 \nL 217.167452 209.076951 \nL 218.712649 209.997461 \nL 220.403513 210.806046 \nL 222.252194 211.490429 \nL 224.271831 212.035913 \nL 226.47652 212.424983 \nL 228.881242 212.636851 \nL 231.501756 212.646955 \nL 234.354415 212.426421 \nL 237.455913 211.941486 \nL 240.822918 211.152938 \nL 244.471557 210.015585 \nL 248.41672 208.47785 \nL 252.671156 206.481562 \nL 257.244259 203.962113 \nL 262.14056 200.849142 \nL 267.357786 197.068014 \nL 272.884538 192.542392 \nL 278.697461 187.198277 \nL 284.758003 180.969878 \nL 291.008807 173.807674 \nL 297.369947 165.688837 \nL 303.735342 156.629927 \nL 309.969854 146.701136 \nL 315.907846 136.040625 \nL 321.35408 124.866561 \nL 326.088062 113.483236 \nL 329.872753 102.277293 \nL 332.468271 91.700005 \nL 333.650443 82.233569 \nL 333.232894 74.342643 \nL 331.089941 68.417165 \nL 327.176629 64.71733 \nL 321.541534 63.333783 \nL 314.328815 64.174235 \nL 305.767943 66.981316 \nL 296.152394 71.37766 \nL 285.811051 76.926027 \nL 275.077748 83.18974 \nL 264.264148 89.780488 \nL 224.777661 114.443843 \nL 202.215186 128.597463 \nL 190.700762 136.053923 \nL 181.56936 142.281355 \nL 174.336062 147.541022 \nL 166.019633 153.996544 \nL 159.552087 159.002509 \nL 155.746887 161.58412 \nL 153.906233 162.644776 \nL 152.075197 163.546692 \nL 150.233991 164.28426 \nL 148.365744 164.850732 \nL 146.456343 165.238358 \nL 144.494307 165.438559 \nL 142.470704 165.442079 \nL 140.379122 165.23918 \nL 138.215697 164.819922 \nL 135.979184 164.174466 \nL 133.671074 163.293443 \nL 131.295748 162.16848 \nL 128.860671 160.792726 \nL 126.376601 159.161574 \nL 123.857804 157.273406 \nL 121.322229 155.130456 \nL 118.791691 152.739764 \nL 116.291915 150.114096 \nL 113.852517 147.272848 \nL 111.506801 144.242839 \nL 109.291402 141.058894 \nL 107.245661 137.76406 \nL 105.410771 134.40943 \nL 103.828642 131.053405 \nL 102.540516 127.760308 \nL 101.58535 124.59843 \nL 100.998038 121.637395 \nL 100.807594 118.945134 \nL 101.035367 116.584557 \nL 101.693519 114.610272 \nL 102.78382 113.065691 \nL 104.296958 111.980717 \nL 106.212465 111.370403 \nL 108.499227 111.23468 \nL 111.11666 111.559112 \nL 114.016391 112.316675 \nL 117.144331 113.470272 \nL 120.442977 114.975635 \nL 123.853741 116.784279 \nL 127.31916 118.846429 \nL 130.784776 121.113336 \nL 134.200703 123.539205 \nL 137.522705 126.082454 \nL 140.712885 128.706435 \nL 143.739953 131.379669 \nL 146.579144 134.075724 \nL 149.211889 136.772841 \nL 151.625261 139.453371 \nL 153.811307 142.103186 \nL 155.766316 144.711034 \nL 157.490058 147.267993 \nL 158.985061 149.766912 \nL 160.255918 152.201978 \nL 161.308688 154.568325 \nL 162.150345 156.861717 \nL 162.788309 159.078299 \nL 163.230085 161.214373 \nL 163.48293 163.266239 \nL 163.553617 165.230018 \nL 163.448245 167.10154 \nL 163.172112 168.876232 \nL 162.729621 170.549 \nL 162.124238 172.114115 \nL 161.358478 173.565112 \nL 160.433911 174.89466 \nL 159.35123 176.094489 \nL 158.110298 177.155222 \nL 156.710263 178.066292 \nL 155.149676 178.815805 \nL 153.426648 179.390446 \nL 151.53904 179.775375 \nL 149.484681 179.95416 \nL 147.261651 179.908742 \nL 144.868595 179.61947 \nL 142.305111 179.065191 \nL 139.572186 178.22349 \nL 136.672732 177.07104 \nL 133.612166 175.584139 \nL 130.399102 173.739479 \nL 127.04609 171.515207 \nL 123.570452 168.892288 \nL 119.995106 165.856208 \nL 116.349462 162.399046 \nL 112.670194 158.521889 \nL 109.001935 154.237505 \nL 105.397714 149.573116 \nL 101.919025 144.573051 \nL 98.635437 139.300951 \nL 95.623534 133.8411 \nL 92.96512 128.298428 \nL 90.744533 122.796705 \nL 89.045127 117.474571 \nL 87.944995 112.479319 \nL 87.512107 107.958521 \nL 87.799368 104.050264 \nL 88.839929 100.872836 \nL 90.643463 98.515427 \nL 93.193876 97.03101 \nL 96.448816 96.432667 \nL 100.341317 96.693939 \nL 104.78336 97.753241 \nL 109.671036 99.521383 \nL 114.89072 101.89107 \nL 120.325555 104.746841 \nL 125.861552 107.974071 \nL 131.392792 111.466187 \nL 136.825295 115.129459 \nL 142.079551 118.885587 \nL 147.091637 122.672174 \nL 151.813236 126.441866 \nL 156.210724 130.160488 \nL 160.263664 133.804793 \nL 163.962971 137.360146 \nL 167.308914 140.818379 \nL 170.309171 144.175946 \nL 172.977015 147.432444 \nL 175.329684 150.589475 \nL 177.387005 153.649797 \nL 179.17023 156.616757 \nL 180.701115 159.493875 \nL 182.001188 162.284619 \nL 183.091204 164.99226 \nL 183.990745 167.619794 \nL 184.717951 170.169919 \nL 185.289346 172.645051 \nL 185.719753 175.047294 \nL 186.20821 179.640295 \nL 186.267618 183.960865 \nL 185.956614 188.017304 \nL 185.310671 191.814239 \nL 184.344679 195.352128 \nL 183.055135 198.626262 \nL 182.283315 200.161145 \nL 181.421746 201.625119 \nL 180.465427 203.015284 \nL 179.40839 204.327968 \nL 178.243706 205.558581 \nL 176.963476 206.701458 \nL 175.558824 207.749676 \nL 174.019886 208.694817 \nL 172.335803 209.526727 \nL 170.494729 210.233211 \nL 168.483844 210.799688 \nL 166.289395 211.208803 \nL 163.896773 211.439985 \nL 161.290621 211.46897 \nL 158.455021 211.267271 \nL 155.373763 210.801631 \nL 152.030696 210.033503 \nL 148.410256 208.918528 \nL 144.498142 207.406187 \nL 140.282226 205.439616 \nL 135.753727 202.955793 \nL 130.908711 199.886262 \nL 125.749966 196.158606 \nL 120.289284 191.698999 \nL 114.550182 186.436159 \nL 108.571063 180.307098 \nL 102.408668 173.264895 \nL 96.141681 165.288785 \nL 89.874176 156.396331 \nL 83.73832 146.657028 \nL 77.895714 136.206001 \nL 72.536428 125.255318 \nL 67.874769 114.099767 \nL 64.14086 103.11312 \nL 61.567484 92.731204 \nL 60.372286 83.419911 \nL 60.736678 75.62912 \nL 62.783881 69.738459 \nL 66.559653 66.004732 \nL 72.019895 64.523362 \nL 79.028268 65.214648 \nL 87.365589 67.83939 \nL 96.749795 72.040448 \nL 106.863045 77.399454 \nL 117.380893 83.49446 \nL 127.998585 89.946523 \nL 148.523211 102.775159 \nL 182.580421 124.283177 \nL 195.360763 132.558793 \nL 205.570945 139.483804 \nL 213.655004 145.338663 \nL 220.091158 150.339729 \nL 233.677679 161.351808 \nL 237.372363 163.815148 \nL 239.196509 164.813928 \nL 241.033423 165.650192 \nL 242.900686 166.316927 \nL 244.813229 166.805999 \nL 246.783452 167.108279 \nL 248.821307 167.213783 \nL 250.934334 167.111841 \nL 253.127625 166.791288 \nL 255.403754 166.240777 \nL 257.762638 165.449109 \nL 260.201362 164.405699 \nL 262.713962 163.101111 \nL 265.291166 161.527759 \nL 267.920126 159.680667 \nL 270.58414 157.558414 \nL 273.262428 155.164125 \nL 275.929935 152.506578 \nL 278.557251 149.601279 \nL 281.110677 146.471504 \nL 283.552442 143.149182 \nL 285.841221 139.675468 \nL 287.932867 136.100891 \nL 289.781491 132.484972 \nL 291.340838 128.895127 \nL 292.56597 125.404835 \nL 293.415197 122.091017 \nL 293.852171 119.030798 \nL 293.847964 116.297751 \nL 293.383042 113.958016 \nL 292.448884 112.066551 \nL 291.049119 110.664064 \nL 289.200015 109.774838 \nL 286.930244 109.405776 \nL 284.279865 109.54679 \nL 281.298671 110.172449 \nL 278.043967 111.244545 \nL 274.57797 112.715467 \nL 270.965135 114.531733 \nL 267.269515 116.637442 \nL 263.552445 118.977331 \nL 259.870594 121.49913 \nL 256.274544 124.155264 \nL 252.807874 126.903861 \nL 249.506717 129.709102 \nL 246.399763 132.541153 \nL 243.508591 135.375722 \nL 240.848256 138.193413 \nL 238.428029 140.979002 \nL 236.252254 143.720697 \nL 234.321194 146.409414 \nL 232.63189 149.038181 \nL 231.178939 151.601579 \nL 229.955215 154.095309 \nL 228.952492 156.515809 \nL 228.161976 158.859996 \nL 227.57475 161.124993 \nL 227.18214 163.307966 \nL 226.975994 165.405978 \nL 226.948904 167.415834 \nL 227.094361 169.333989 \nL 227.40686 171.156437 \nL 227.881971 172.878596 \nL 228.516363 174.495234 \nL 229.307804 176.000331 \nL 230.255137 177.386969 \nL 231.358217 178.647235 \nL 232.617848 179.772061 \nL 234.03568 180.751103 \nL 235.614092 181.572605 \nL 237.356038 182.223267 \nL 239.264876 182.688089 \nL 241.34415 182.950277 \nL 243.597331 182.991157 \nL 246.027499 182.790116 \nL 248.636991 182.324661 \nL 251.426937 181.570524 \nL 254.396751 180.501939 \nL 257.543511 179.092087 \nL 260.86126 177.313781 \nL 264.340177 175.140416 \nL 267.965718 172.547296 \nL 271.717607 169.513348 \nL 275.568837 166.023296 \nL 279.484645 162.070238 \nL 283.421591 157.658695 \nL 287.326807 152.807865 \nL 291.13758 147.555022 \nL 294.781406 141.958593 \nL 298.176709 136.100531 \nL 301.234387 130.087387 \nL 303.860372 124.049461 \nL 305.959224 118.137496 \nL 307.438784 112.51655 \nL 308.215634 107.35701 \nL 308.22106 102.823351 \nL 307.406857 99.061657 \nL 305.750419 96.187493 \nL 303.258291 94.275939 \nL 299.96765 93.355459 \nL 295.945271 93.406716 \nL 291.284015 94.366586 \nL 286.097178 96.136612 \nL 280.511298 98.594275 \nL 274.658442 101.605428 \nL 268.668679 105.035703 \nL 262.663652 108.759823 \nL 256.751622 112.667926 \nL 251.024257 116.668834 \nL 245.555105 120.690832 \nL 240.399518 124.680497 \nL 235.595689 128.600331 \nL 231.166437 132.425888 \nL 227.121405 136.142841 \nL 223.459434 139.744297 \nL 220.170871 143.228552 \nL 217.239707 146.597285 \nL 214.645457 149.854211 \nL 212.364771 153.00411 \nL 210.372739 156.052169 \nL 208.643941 159.003571 \nL 207.153259 161.863229 \nL 205.876466 164.635699 \nL 204.790657 167.325101 \nL 203.874521 169.935141 \nL 202.474914 174.930034 \nL 201.543302 179.643052 \nL 200.973897 184.092743 \nL 200.686818 188.294743 \nL 200.624498 192.262572 \nL 200.74801 196.008108 \nL 201.033785 199.541776 \nL 201.47094 202.872557 \nL 202.0593 206.007861 \nL 202.808085 208.953186 \nL 203.735236 211.711622 \nL 204.867301 214.283044 \nL 206.239843 216.662985 \nL 207.898317 218.840927 \nL 209.899388 220.797826 \nL 211.049578 221.684247 \nL 212.312617 222.502512 \nL 213.699543 223.24598 \nL 215.222459 223.906481 \nL 216.894597 224.474024 \nL 218.73038 224.93643 \nL 220.745463 225.278934 \nL 222.956769 225.483672 \nL 225.382487 225.529124 \nL 228.042017 225.389458 \nL 230.955886 225.033786 \nL 234.145542 224.425339 \nL 237.633057 223.520589 \nL 241.440685 222.268333 \nL 245.590182 220.608825 \nL 250.101904 218.473021 \nL 254.993536 215.782147 \nL 260.278422 212.447764 \nL 265.963356 208.372684 \nL 272.045781 203.453154 \nL 278.510259 197.582877 \nL 285.324231 190.659498 \nL 292.433034 182.594282 \nL 299.754333 173.325572 \nL 307.172364 162.836363 \nL 314.532598 151.175514 \nL 321.637787 138.481102 \nL 328.246873 125.00248 \nL 334.078416 111.115827 \nL 338.820433 97.325848 \nL 342.148085 84.246062 \nL 343.749707 72.551672 \nL 343.359627 62.905277 \nL 340.793875 55.864239 \nL 335.982357 51.788679 \nL 328.990008 50.77488 \nL 320.020277 52.635878 \nL 309.398027 56.93815 \nL 297.534339 63.084671 \nL 284.880515 70.419486 \nL 234.438825 101.028749 \nL 223.300916 107.443461 \nL 213.054407 113.142843 \nL 203.736958 118.146453 \nL 187.833926 126.290841 \nL 175.235328 132.412615 \nL 161.301517 138.884347 \nL 151.637633 143.126704 \nL 146.783482 145.05976 \nL 142.78374 146.409825 \nL 139.376533 147.241927 \nL 136.37195 147.596638 \nL 133.640319 147.5023 \nL 131.101765 146.984003 \nL 128.717319 146.070553 \nL 126.481346 144.800029 \nL 124.414855 143.224039 \nL 122.559055 141.410514 \nL 120.968793 139.444491 \nL 119.705381 137.426475 \nL 118.828952 135.467893 \nL 118.390402 133.683902 \nL 118.346818 132.892114 \nL 118.42379 132.184088 \nL 118.621912 131.571025 \nL 118.940042 131.062567 \nL 119.375259 130.666592 \nL 119.922859 130.389041 \nL 120.576392 130.233804 \nL 121.327783 130.202695 \nL 122.167453 130.295474 \nL 124.067141 130.842123 \nL 126.1773 131.835722 \nL 128.391001 133.21616 \nL 130.600792 134.90894 \nL 132.705948 136.832533 \nL 134.617829 138.90435 \nL 136.263165 141.044843 \nL 137.585216 143.179752 \nL 138.543365 145.240865 \nL 139.111613 147.16576 \nL 139.276609 148.896987 \nL 139.035683 150.381165 \nL 138.764686 151.014847 \nL 138.395268 151.568227 \nL 137.929494 152.035506 \nL 137.369921 152.411093 \nL 136.719592 152.689636 \nL 135.982083 152.86605 \nL 135.161519 152.935589 \nL 134.262621 152.893913 \nL 132.252002 152.462239 \nL 130.001991 151.548703 \nL 127.577491 150.145608 \nL 125.058237 148.265369 \nL 122.539531 145.946442 \nL 120.131542 143.258702 \nL 117.956304 140.306838 \nL 116.141783 137.22999 \nL 114.812896 134.19605 \nL 114.365916 132.752666 \nL 114.079774 131.389654 \nL 113.963791 130.129816 \nL 114.024738 128.994577 \nL 114.266543 128.003367 \nL 114.690034 127.172968 \nL 115.292769 126.517023 \nL 116.069019 126.04565 \nL 117.009812 125.76518 \nL 118.103126 125.678095 \nL 119.334178 125.783103 \nL 120.685824 126.07539 \nL 122.139011 126.546959 \nL 123.673287 127.187114 \nL 126.899534 128.92002 \nL 130.193173 131.154567 \nL 133.392477 133.761114 \nL 136.356649 136.61262 \nL 138.97227 139.592621 \nL 141.155075 142.59868 \nL 142.848157 145.542349 \nL 144.017923 148.347162 \nL 144.401208 149.676137 \nL 144.649089 150.945599 \nL 144.761712 152.148005 \nL 144.73981 153.275974 \nL 144.584576 154.322244 \nL 144.297612 155.279605 \nL 143.880851 156.14083 \nL 143.336541 156.898649 \nL 142.667224 157.545732 \nL 141.875753 158.074664 \nL 140.965331 158.477987 \nL 139.939569 158.748199 \nL 138.80256 158.877858 \nL 137.558988 158.859645 \nL 136.214236 158.686494 \nL 134.774532 158.351769 \nL 133.247089 157.849451 \nL 131.640265 157.174384 \nL 129.963725 156.322587 \nL 128.228611 155.291576 \nL 126.447692 154.080752 \nL 124.635476 152.691803 \nL 122.808355 151.129154 \nL 120.98462 149.400393 \nL 119.184495 147.51672 \nL 117.430047 145.493275 \nL 115.745015 143.349452 \nL 114.154555 141.109039 \nL 112.684856 138.8002 \nL 111.362611 136.455242 \nL 110.214413 134.110147 \nL 109.265996 131.803808 \nL 108.541411 129.577045 \nL 108.062124 127.471335 \nL 107.846136 125.527405 \nL 107.907084 123.783668 \nL 108.253504 122.2747 \nL 108.888197 121.029813 \nL 109.807845 120.071861 \nL 111.002868 119.416378 \nL 112.457546 119.071095 \nL 114.150446 119.03597 \nL 116.055102 119.303578 \nL 118.140905 119.859894 \nL 120.374154 120.685395 \nL 122.719208 121.756317 \nL 125.13966 123.046006 \nL 127.599412 124.526185 \nL 130.063684 126.168143 \nL 132.499841 127.943718 \nL 134.878051 129.826063 \nL 137.17173 131.790159 \nL 139.357804 133.813185 \nL 141.416812 135.874615 \nL 143.33284 137.956237 \nL 145.093345 140.042038 \nL 146.688884 142.118009 \nL 148.112784 144.171887 \nL 149.360785 146.192935 \nL 150.430656 148.171647 \nL 151.321827 150.09953 \nL 152.035033 151.968835 \nL 152.571992 153.772384 \nL 152.93511 155.503346 \nL 153.127244 157.1551 \nL 153.151475 158.721054 \nL 153.010949 160.194537 \nL 152.708748 161.568664 \nL 152.247798 162.836252 \nL 151.630811 163.989695 \nL 150.860268 165.020928 \nL 149.938433 165.921312 \nL 148.867401 166.681605 \nL 147.649175 167.291928 \nL 146.285769 167.741739 \nL 144.779369 168.019854 \nL 143.132481 168.114483 \nL 141.34816 168.013338 \nL 139.430241 167.703762 \nL 137.383621 167.17298 \nL 135.214565 166.408362 \nL 132.931047 165.397843 \nL 130.543124 164.130418 \nL 128.063322 162.596781 \nL 125.507013 160.790071 \nL 122.892829 158.706788 \nL 120.242998 156.347753 \nL 117.583656 153.719251 \nL 114.945033 150.83411 \nL 112.361521 147.712863 \nL 109.871539 144.384675 \nL 107.517186 140.888098 \nL 105.343599 137.271392 \nL 103.397999 133.59233 \nL 101.72839 129.917344 \nL 100.381957 126.319861 \nL 99.403157 122.877873 \nL 98.831626 119.670756 \nL 98.700014 116.775545 \nL 99.031878 114.26284 \nL 99.839895 112.192872 \nL 101.124499 110.612053 \nL 102.873164 109.550369 \nL 105.060424 109.019999 \nL 107.648676 109.015306 \nL 110.589702 109.514182 \nL 113.826845 110.480543 \nL 117.297582 111.867566 \nL 120.936326 113.621408 \nL 124.677158 115.684851 \nL 128.456378 118.000609 \nL 132.214589 120.513999 \nL 135.89835 123.174861 \nL 139.46124 125.938785 \nL 142.864429 128.767634 \nL 146.076793 131.629527 \nL 149.074639 134.498467 \nL 151.841161 137.353698 \nL 154.365684 140.178968 \nL 156.642821 142.961714 \nL 158.671576 145.692354 \nL 160.454459 148.363594 \nL 161.99667 150.969858 \nL 163.30533 153.506796 \nL 164.388821 155.970916 \nL 165.256222 158.359236 \nL 165.916823 160.66906 \nL 166.379738 162.897785 \nL 166.653601 165.042721 \nL 166.746324 167.100966 \nL 166.664923 169.069309 \nL 166.415401 170.944094 \nL 166.002667 172.721141 \nL 165.430499 174.395639 \nL 164.701537 175.962046 \nL 163.817305 177.413968 \nL 162.778254 178.744047 \nL 161.583824 179.943842 \nL 160.23254 181.003667 \nL 158.722111 181.912476 \nL 157.049565 182.657699 \nL 155.211418 183.225113 \nL 153.203862 183.598705 \nL 151.022997 183.760544 \nL 148.665125 183.690739 \nL 146.127077 183.367369 \nL 143.406624 182.766585 \nL 140.502966 181.862768 \nL 137.417298 180.628859 \nL 134.153482 179.036917 \nL 130.718814 177.058897 \nL 127.124903 174.66782 \nL 123.388628 171.839254 \nL 119.533182 168.553299 \nL 115.58913 164.797008 \nL 111.595445 160.567298 \nL 107.60042 155.874223 \nL 103.662357 150.744499 \nL 99.849795 145.224956 \nL 96.241251 139.38557 \nL 92.924123 133.321442 \nL 89.992662 127.153205 \nL 87.544879 121.025103 \nL 85.678298 115.100294 \nL 84.484735 109.553127 \nL 84.044291 104.558542 \nL 84.419123 100.279562 \nL 85.647611 96.854065 \nL 87.739676 94.382873 \nL 90.673982 92.92101 \nL 94.397596 92.473529 \nL 98.828278 92.997032 \nL 103.859306 94.406216 \nL 109.366267 96.584556 \nL 115.21493 99.397032 \nL 121.269354 102.70287 \nL 127.399221 106.36657 \nL 133.485854 110.26611 \nL 139.42641 114.297879 \nL 145.13632 118.378628 \nL 150.550014 122.445025 \nL 155.620338 126.451636 \nL 160.316999 130.368036 \nL 164.624411 134.175688 \nL 168.539281 137.864974 \nL 172.068149 141.43258 \nL 175.225069 144.879424 \nL 178.029533 148.209024 \nL 180.504674 151.42633 \nL 182.67578 154.536908 \nL 184.569097 157.546417 \nL 186.210889 160.460305 \nL 187.626742 163.283622 \nL 188.841054 166.020958 \nL 189.876696 168.676434 \nL 191.494631 173.756125 \nL 192.627272 178.547716 \nL 193.39209 183.071597 \nL 193.879833 187.344891 \nL 194.158295 191.382496 \nL 194.286193 197.025773 \nL 194.153511 202.208494 \nL 193.809085 206.965898 \nL 193.262033 211.328645 \nL 192.490566 215.322288 \nL 191.828361 217.789387 \nL 191.023546 220.104576 \nL 190.04842 222.268967 \nL 188.86819 224.280411 \nL 187.439725 226.132166 \nL 185.709959 227.810973 \nL 183.613943 229.294183 \nL 182.404488 229.951793 \nL 181.072556 230.545535 \nL 179.605618 231.067741 \nL 177.989932 231.508969 \nL 176.210456 231.857648 \nL 174.250775 232.099638 \nL 172.093047 232.217729 \nL 169.717958 232.191024 \nL 167.104728 231.994237 \nL 164.231163 231.596879 \nL 161.073789 230.962327 \nL 157.608085 230.046805 \nL 153.808865 228.798274 \nL 149.650868 227.155305 \nL 145.109594 225.046014 \nL 140.162492 222.387195 \nL 134.790609 219.0839 \nL 128.980763 215.029761 \nL 122.7284 210.108548 \nL 116.041307 204.197559 \nL 108.944145 197.173617 \nL 101.483991 188.922611 \nL 93.736713 179.353437 \nL 85.813904 168.41708 \nL 77.869821 156.130854 \nL 70.107219 142.606584 \nL 62.780639 128.079517 \nL 56.195004 112.932178 \nL 50.697114 97.704433 \nL 46.657965 83.079466 \nL 44.444492 69.836419 \nL 44.381687 58.766523 \nL 46.709264 50.560687 \nL 51.540124 45.690573 \nL 58.830485 44.315367 \nL 68.370872 46.245828 \nL 79.802965 50.981641 \nL 92.660473 57.81263 \nL 106.424937 65.951727 \nL 134.677985 83.333134 \nL 148.333748 91.539604 \nL 161.274129 99.016496 \nL 173.316707 105.640263 \nL 184.361077 111.388025 \nL 194.372021 116.300885 \nL 203.362248 120.454675 \nL 211.377021 123.939419 \nL 218.481683 126.846421 \nL 224.752209 129.261038 \nL 235.109523 132.907047 \nL 243.062928 135.365027 \nL 249.147936 136.98098 \nL 253.799396 137.995772 \nL 257.355772 138.578634 \nL 260.073361 138.851766 \nL 262.979347 138.875219 \nL 264.857083 138.633565 \nL 265.983337 138.29604 \nL 266.616698 137.912429 \nL 266.64377 137.809246 \nL 266.598284 137.787942 \nL 266.268132 137.860992 \nL 265.50583 138.291339 \nL 264.578177 139.062593 \nL 263.695798 140.066066 \nL 263.039359 141.149276 \nL 262.776607 141.912627 \nL 262.748963 142.557141 \nL 262.967934 143.021834 \nL 263.246794 143.207042 \nL 263.843838 143.271777 \nL 264.614479 143.065437 \nL 265.496402 142.591744 \nL 266.412854 141.879874 \nL 267.277839 140.985168 \nL 268.003284 139.986987 \nL 268.508031 138.98271 \nL 268.727853 138.077788 \nL 268.624988 137.372879 \nL 268.373558 137.055811 \nL 267.983858 136.882147 \nL 267.470734 136.862186 \nL 266.517508 137.124263 \nL 265.427716 137.714275 \nL 264.30844 138.57681 \nL 263.269065 139.631523 \nL 262.409718 140.782791 \nL 261.812233 141.928811 \nL 261.534241 142.969361 \nL 261.54261 143.558284 \nL 261.709185 144.034469 \nL 262.030481 144.376609 \nL 262.497533 144.56722 \nL 263.096023 144.593337 \nL 263.80647 144.447236 \nL 265.02744 143.90337 \nL 266.343491 142.993559 \nL 267.635977 141.779936 \nL 268.776604 140.363764 \nL 269.639337 138.880186 \nL 270.115642 137.485679 \nL 270.179778 136.6843 \nL 270.02734 136.035941 \nL 269.658565 135.575983 \nL 269.085162 135.330056 \nL 268.329913 135.312382 \nL 267.425476 135.525102 \nL 266.412398 135.958626 \nL 264.790178 136.97657 \nL 263.190031 138.342169 \nL 261.767645 139.926284 \nL 260.655848 141.587989 \nL 260.138113 142.669093 \nL 259.82416 143.681959 \nL 259.72699 144.589013 \nL 259.852195 145.3556 \nL 260.198178 145.950544 \nL 260.756355 146.346725 \nL 261.511292 146.521871 \nL 262.440763 146.459516 \nL 263.515839 146.15018 \nL 264.700917 145.592742 \nL 265.953997 144.795867 \nL 267.227194 143.779354 \nL 268.467795 142.575106 \nL 269.619843 141.227473 \nL 270.626446 139.792523 \nL 271.432819 138.336192 \nL 271.989817 136.930912 \nL 272.257827 135.651089 \nL 272.210431 134.567613 \nL 271.837478 133.742232 \nL 271.530685 133.441828 \nL 270.690201 133.087023 \nL 269.57842 133.07453 \nL 268.246382 133.404014 \nL 266.757265 134.056458 \nL 265.181749 134.997061 \nL 263.59313 136.179096 \nL 262.062743 137.548051 \nL 260.6561 139.045459 \nL 259.430161 140.611901 \nL 258.431669 142.189252 \nL 257.696516 143.722008 \nL 257.249825 145.158002 \nL 257.106564 146.448641 \nL 257.272302 147.549003 \nL 257.743942 148.417934 \nL 258.510247 149.018332 \nL 259.552019 149.317855 \nL 260.842001 149.29006 \nL 262.344434 148.916151 \nL 264.014544 148.187232 \nL 265.798036 147.107044 \nL 267.630932 145.694949 \nL 269.440135 143.988709 \nL 271.144965 142.046448 \nL 272.660104 139.947101 \nL 273.899967 137.788592 \nL 274.784606 135.683148 \nL 275.246568 133.749631 \nL 275.303156 132.883902 \nL 275.238046 132.103639 \nL 275.049352 131.420977 \nL 274.737096 130.846499 \nL 274.303279 130.388981 \nL 273.751882 130.05519 \nL 273.088815 129.84974 \nL 272.321833 129.775028 \nL 271.460371 129.831261 \nL 269.49883 130.326969 \nL 267.304577 131.299281 \nL 264.988779 132.686389 \nL 262.664306 134.410603 \nL 260.437715 136.386353 \nL 258.403185 138.526888 \nL 256.638811 140.748771 \nL 255.205187 142.97443 \nL 254.145801 145.132938 \nL 253.488669 147.159689 \nL 253.2485 148.995452 \nL 253.42892 150.585245 \nL 253.675412 151.271641 \nL 254.024286 151.877383 \nL 254.473583 152.396442 \nL 255.020864 152.822961 \nL 255.663211 153.151281 \nL 256.397197 153.375989 \nL 257.218857 153.491948 \nL 258.123644 153.494397 \nL 259.106378 153.37902 \nL 261.281395 152.78054 \nL 263.687268 151.675923 \nL 266.252998 150.061177 \nL 268.891507 147.955065 \nL 271.498941 145.405599 \nL 273.955954 142.495634 \nL 276.131542 139.345795 \nL 277.890274 136.112905 \nL 278.572332 134.522392 \nL 279.102881 132.981964 \nL 279.46891 131.51671 \nL 279.659514 130.151266 \nL 279.666347 128.909102 \nL 279.483983 127.811771 \nL 279.110216 126.878241 \nL 278.546294 126.12425 \nL 277.796996 125.561854 \nL 276.870622 125.199102 \nL 275.778814 125.039875 \nL 274.536303 125.08394 \nL 273.160514 125.327169 \nL 271.671063 125.761884 \nL 270.089239 126.377353 \nL 268.43742 127.160355 \nL 265.015235 129.16718 \nL 261.583805 131.649179 \nL 258.306788 134.468745 \nL 255.321942 137.4958 \nL 252.73627 140.614299 \nL 250.625871 143.72414 \nL 249.039158 146.739917 \nL 248.00196 149.588024 \nL 247.692694 150.928542 \nL 247.523072 152.203082 \nL 247.49237 153.404213 \nL 247.599382 154.524612 \nL 247.842518 155.55701 \nL 248.219861 156.494111 \nL 248.729219 157.328568 \nL 249.368143 158.052915 \nL 250.133918 158.659572 \nL 251.023534 159.140843 \nL 252.033637 159.488926 \nL 253.160453 159.695995 \nL 254.399681 159.754231 \nL 255.746377 159.655963 \nL 257.19482 159.393801 \nL 258.738356 158.960842 \nL 260.369227 158.350887 \nL 262.078387 157.558739 \nL 263.855335 156.580536 \nL 265.687927 155.414154 \nL 267.562208 154.059602 \nL 269.462292 152.519525 \nL 271.370228 150.799687 \nL 273.265974 148.909421 \nL 275.127427 146.862136 \nL 276.930512 144.675652 \nL 278.649411 142.37249 \nL 280.2569 139.979983 \nL 281.724826 137.530146 \nL 283.0247 135.059356 \nL 284.128469 132.607653 \nL 285.009342 130.217843 \nL 285.642756 127.934213 \nL 286.007362 125.801076 \nL 286.086016 123.861102 \nL 285.866672 122.153594 \nL 285.343184 120.712848 \nL 284.515833 119.566657 \nL 283.391657 118.735188 \nL 281.984435 118.230258 \nL 280.314386 118.055112 \nL 278.40753 118.204689 \nL 276.294807 118.666351 \nL 274.010997 119.420976 \nL 271.593467 120.444314 \nL 269.080893 121.708476 \nL 266.512037 123.183406 \nL 263.924576 124.838218 \nL 261.354137 126.642392 \nL 258.833513 128.566696 \nL 256.392099 130.583831 \nL 254.05552 132.668878 \nL 251.845505 134.799489 \nL 249.779893 136.955899 \nL 247.872798 139.12083 \nL 246.134892 141.279278 \nL 244.573745 143.418263 \nL 243.194228 145.526525 \nL 241.998919 147.594241 \nL 240.988523 149.612737 \nL 240.162264 151.574238 \nL 239.518246 153.471628 \nL 239.053785 155.298238 \nL 238.765695 157.047653 \nL 238.650522 158.713544 \nL 238.704751 160.289543 \nL 238.924954 161.769097 \nL 239.307904 163.145356 \nL 239.850654 164.411077 \nL 240.550571 165.558518 \nL 241.405337 166.579364 \nL 242.412926 167.464659 \nL 243.571529 168.204736 \nL 244.879472 168.789207 \nL 246.335083 169.206907 \nL 247.936527 169.445932 \nL 249.681616 169.493688 \nL 251.567589 169.336969 \nL 253.590823 168.962153 \nL 255.746552 168.355401 \nL 258.028509 167.503004 \nL 260.428562 166.391827 \nL 262.936296 165.009865 \nL 265.538586 163.346945 \nL 268.21918 161.395565 \nL 270.958226 159.151906 \nL 273.731923 156.616963 \nL 276.512157 153.797773 \nL 279.266299 150.708697 \nL 281.95715 147.372641 \nL 284.543081 143.822168 \nL 286.978461 140.100266 \nL 289.214396 136.260666 \nL 291.199837 132.367557 \nL 292.883058 128.494468 \nL 294.21352 124.722276 \nL 295.144011 121.136302 \nL 295.63303 117.822577 \nL 295.647213 114.863512 \nL 295.163611 112.333287 \nL 294.171603 110.293495 \nL 292.674276 108.789399 \nL 290.689018 107.847409 \nL 288.247246 107.473979 \nL 285.393297 107.656079 \nL 282.182443 108.363205 \nL 278.678317 109.550592 \nL 274.94991 111.163197 \nL 271.068442 113.13988 \nL 267.10434 115.417499 \nL 263.124609 117.934383 \nL 259.190666 120.632964 \nL 255.356795 123.461607 \nL 251.669195 126.375572 \nL 248.165594 129.337283 \nL 244.875348 132.316051 \nL 241.819915 135.287447 \nL 239.013575 138.232469 \nL 236.464353 141.136654 \nL 234.174992 143.98918 \nL 232.143944 146.782055 \nL 230.366315 149.509451 \nL 228.834755 152.167066 \nL 227.540222 154.751701 \nL 226.472662 157.260852 \nL 225.621573 159.692415 \nL 224.976473 162.04448 \nL 224.527275 164.315146 \nL 224.264572 166.502366 \nL 224.179856 168.603854 \nL 224.265672 170.616973 \nL 224.515721 172.538639 \nL 224.924926 174.36524 \nL 225.489451 176.092537 \nL 226.206701 177.715554 \nL 227.075297 179.228503 \nL 228.095029 180.62462 \nL 229.266788 181.896061 \nL 230.592494 183.033757 \nL 232.074991 184.027254 \nL 233.717915 184.864562 \nL 235.525573 185.531983 \nL 237.502746 186.01393 \nL 239.6545 186.292799 \nL 241.985908 186.348809 \nL 244.50176 186.159928 \nL 247.206182 185.70182 \nL 250.102178 184.94794 \nL 253.191091 183.869713 \nL 256.471958 182.43693 \nL 259.940744 180.618378 \nL 263.589463 178.382794 \nL 267.405175 175.700226 \nL 271.368881 172.543828 \nL 275.45433 168.892194 \nL 279.626795 164.732298 \nL 283.841894 160.062925 \nL 288.044581 154.898572 \nL 292.168448 149.273576 \nL 296.13551 143.246097 \nL 299.856749 136.901405 \nL 303.23357 130.353788 \nL 306.160465 123.746342 \nL 308.528948 117.247773 \nL 310.23282 111.045748 \nL 311.174526 105.33657 \nL 311.272247 100.311741 \nL 310.467031 96.142726 \nL 308.729086 92.965794 \nL 306.062394 90.869367 \nL 302.506771 89.886052 \nL 298.136846 89.99105 \nL 293.057965 91.107108 \nL 287.399335 93.115149 \nL 281.305398 95.868644 \nL 274.926437 99.20899 \nL 268.409602 102.979573 \nL 261.891298 107.036842 \nL 255.491519 111.257423 \nL 249.310345 115.54149 \nL 243.426472 119.81291 \nL 237.897487 124.017153 \nL 232.761406 128.118016 \nL 228.038987 132.093835 \nL 223.736491 135.933837 \nL 219.848505 139.634939 \nL 216.36064 143.199138 \nL 213.251974 146.631476 \nL 210.497143 149.938616 \nL 208.068093 153.127844 \nL 205.935484 156.206413 \nL 204.069777 159.181192 \nL 202.442052 162.058464 \nL 201.024596 164.843847 \nL 198.717879 170.15824 \nL 196.96346 175.157311 \nL 195.606484 179.866613 \nL 194.049158 186.430456 \nL 191.182841 199.661511 \nL 189.814242 204.519641 \nL 188.742262 207.501779 \nL 187.491871 210.278942 \nL 186.015618 212.846167 \nL 184.259821 215.191934 \nL 183.258023 216.275757 \nL 182.162165 217.295559 \nL 180.962713 218.246707 \nL 179.649291 219.123448 \nL 178.210609 219.918683 \nL 176.634389 220.623716 \nL 174.907304 221.22795 \nL 173.014925 221.718521 \nL 170.941679 222.079885 \nL 168.670843 222.293328 \nL 166.184561 222.336404 \nL 163.463911 222.182289 \nL 160.489053 221.799076 \nL 157.239446 221.148996 \nL 153.694221 220.187602 \nL 149.832676 218.862968 \nL 145.635026 217.114958 \nL 141.083395 214.874691 \nL 136.163164 212.064368 \nL 130.864746 208.597709 \nL 125.185869 204.381324 \nL 119.134436 199.317427 \nL 112.732062 193.30847 \nL 106.018262 186.264259 \nL 99.055223 178.112137 \nL 91.932989 168.810717 \nL 84.774583 158.367106 \nL 77.740431 146.856972 \nL 71.031006 134.445411 \nL 64.88637 121.405075 \nL 59.581016 108.126218 \nL 55.412409 95.112126 \nL 52.682257 82.953454 \nL 51.670678 72.277967 \nL 52.605179 63.677876 \nL 55.628716 57.625513 \nL 60.772912 54.395611 \nL 67.94296 54.015743 \nL 76.919334 56.261319 \nL 87.377611 60.699039 \nL 98.923162 66.76661 \nL 111.133498 73.865773 \nL 135.959028 89.051389 \nL 159.251575 103.160507 \nL 169.817656 109.349021 \nL 188.363668 119.80915 \nL 203.443997 127.956999 \nL 228.707378 141.213592 \nL 240.558579 147.283483 \nL 244.9472 149.294624 \nL 248.737757 150.716823 \nL 250.481214 151.216316 \nL 252.153569 151.577046 \nL 253.772635 151.799708 \nL 255.352758 151.884541 \nL 256.90509 151.83158 \nL 258.43781 151.640917 \nL 259.956343 151.312957 \nL 261.463531 150.84865 \nL 262.959807 150.249724 \nL 264.443339 149.518947 \nL 265.910177 148.660334 \nL 267.354385 147.679399 \nL 270.142167 145.381238 \nL 272.725648 142.70552 \nL 275.003744 139.76674 \nL 276.864017 136.712335 \nL 277.601948 135.195447 \nL 278.193909 133.716432 \nL 278.627992 132.299156 \nL 278.894001 130.967262 \nL 278.983893 129.743491 \nL 278.892136 128.649029 \nL 278.616061 127.702842 \nL 278.156077 126.921081 \nL 277.515838 126.316633 \nL 276.702236 125.898719 \nL 275.725331 125.672735 \nL 274.598149 125.640196 \nL 273.336342 125.798893 \nL 271.957806 126.143131 \nL 270.482188 126.664159 \nL 268.930373 127.350632 \nL 265.684693 129.164868 \nL 262.392644 131.463894 \nL 259.214463 134.117554 \nL 256.288092 136.999698 \nL 253.723451 139.995499 \nL 251.601205 143.004383 \nL 249.975002 145.939626 \nL 248.875749 148.72614 \nL 248.528412 150.042578 \nL 248.316658 151.297373 \nL 248.240177 152.48303 \nL 248.2981 153.592212 \nL 248.489119 154.617665 \nL 248.81154 155.55218 \nL 249.263345 156.388521 \nL 249.842207 157.119393 \nL 250.545509 157.737431 \nL 251.370315 158.235194 \nL 252.31333 158.605198 \nL 253.370829 158.839933 \nL 254.538578 158.93195 \nL 255.811734 158.873971 \nL 257.184708 158.65899 \nL 258.651035 158.280492 \nL 260.203223 157.732618 \nL 261.832587 157.010472 \nL 263.529086 156.110389 \nL 265.28116 155.030312 \nL 267.075586 153.770166 \nL 268.89735 152.332297 \nL 270.729547 150.721901 \nL 272.553328 148.947466 \nL 274.347944 147.021192 \nL 276.090819 144.959334 \nL 277.757734 142.782466 \nL 279.32316 140.515594 \nL 280.760643 138.18807 \nL 282.043351 135.833316 \nL 283.144762 133.488282 \nL 284.039399 131.192604 \nL 284.703713 128.987547 \nL 285.11697 126.914702 \nL 285.262172 125.014477 \nL 285.126877 123.324583 \nL 284.703972 121.878468 \nL 283.992216 120.703951 \nL 282.996578 119.822098 \nL 281.728311 119.246455 \nL 280.204748 118.982708 \nL 278.448801 119.028777 \nL 276.488219 119.375335 \nL 274.354647 120.006714 \nL 272.082524 120.902045 \nL 269.707932 122.036565 \nL 267.26743 123.38294 \nL 264.796972 124.912561 \nL 262.330951 126.596666 \nL 259.901399 128.407289 \nL 257.537409 130.317935 \nL 255.264719 132.304089 \nL 253.105486 134.34347 \nL 251.078253 136.416144 \nL 249.198033 138.50447 \nL 247.476528 140.592977 \nL 245.922404 142.668125 \nL 244.541643 144.718099 \nL 243.337911 146.732502 \nL 242.31294 148.702138 \nL 241.466894 150.618744 \nL 240.798722 152.474758 \nL 240.306468 154.263117 \nL 239.987562 155.977081 \nL 239.839047 157.610057 \nL 239.857788 159.15546 \nL 240.040623 160.606594 \nL 240.384498 161.956505 \nL 240.886533 163.197915 \nL 241.544068 164.323118 \nL 242.354683 165.323893 \nL 243.316172 166.191455 \nL 244.426485 166.916392 \nL 245.683643 167.488644 \nL 247.085618 167.897481 \nL 248.630189 168.131532 \nL 250.314749 168.178842 \nL 252.136099 168.026978 \nL 254.090191 167.663182 \nL 256.171835 167.074627 \nL 258.374397 166.248724 \nL 260.689442 165.173554 \nL 263.10634 163.838397 \nL 265.611913 162.234415 \nL 268.189992 160.355417 \nL 270.821075 158.19881 \nL 273.481954 155.766621 \nL 276.145443 153.066611 \nL 278.780216 150.113411 \nL 281.350762 146.92962 \nL 283.817598 143.546733 \nL 286.137658 140.0058 \nL 288.265028 136.357642 \nL 290.151986 132.662499 \nL 291.750382 128.988977 \nL 293.013323 125.412199 \nL 293.897155 122.01115 \nL 294.363607 118.865345 \nL 294.381952 116.050916 \nL 293.931084 113.636547 \nL 293.001217 111.679593 \nL 291.595099 110.222696 \nL 289.728571 109.291563 \nL 287.430357 108.893833 \nL 284.74105 109.019485 \nL 281.711426 109.642455 \nL 278.400104 110.723353 \nL 274.870907 112.212995 \nL 271.190018 114.056045 \nL 267.423269 116.194722 \nL 263.633694 118.57191 \nL 259.879511 121.13369 \nL 256.212642 123.831106 \nL 252.677738 126.621173 \nL 249.31176 129.467268 \nL 246.143965 132.338991 \nL 243.196255 135.211716 \nL 240.483803 138.065903 \nL 238.015825 140.886326 \nL 235.79647 143.661271 \nL 233.825704 146.381833 \nL 232.100192 149.041238 \nL 230.614111 151.634298 \nL 229.359894 154.156962 \nL 228.328859 156.605925 \nL 227.511769 158.978344 \nL 226.899283 161.271608 \nL 226.482326 163.483129 \nL 226.252378 165.610212 \nL 226.201694 167.649927 \nL 226.323466 169.598995 \nL 226.611931 171.453674 \nL 227.062434 173.209673 \nL 227.671465 174.862044 \nL 228.436651 176.405092 \nL 229.356737 177.832224 \nL 230.431531 179.135878 \nL 231.661833 180.307347 \nL 233.049351 181.336671 \nL 234.596581 182.212478 \nL 236.306666 182.921857 \nL 238.183234 183.450189 \nL 240.230189 183.781027 \nL 242.451476 183.895993 \nL 244.850779 183.774699 \nL 247.431167 183.394753 \nL 250.19468 182.73182 \nL 253.141819 181.759833 \nL 256.270957 180.451375 \nL 259.577645 178.778248 \nL 263.053816 176.712356 \nL 266.686883 174.226923 \nL 270.458775 171.298085 \nL 274.344847 167.906969 \nL 278.312837 164.042237 \nL 282.321831 159.703085 \nL 286.321383 154.902631 \nL 290.250887 149.671453 \nL 294.039435 144.061048 \nL 297.606236 138.146711 \nL 300.861891 132.029262 \nL 303.710628 125.835037 \nL 306.053659 119.713434 \nL 307.793665 113.831576 \nL 308.840276 108.365843 \nL 309.116169 103.490779 \nL 308.56334 99.366137 \nL 307.148822 96.123682 \nL 304.869022 93.855705 \nL 301.7521 92.60699 \nL 297.857757 92.371921 \nL 293.27434 93.096995 \nL 288.113534 94.688587 \nL 282.503191 97.024262 \nL 276.57926 99.965799 \nL 270.477744 103.371823 \nL 264.327516 107.108394 \nL 258.244676 111.05652 \nL 252.328681 115.116444 \nL 246.660316 119.209026 \nL 241.30127 123.274876 \nL 236.294978 127.272016 \nL 231.668358 131.172909 \nL 227.434058 134.961276 \nL 223.592929 138.629181 \nL 220.136466 142.174507 \nL 217.049109 145.598984 \nL 214.31026 148.906629 \nL 211.896031 152.10269 \nL 209.780662 155.192871 \nL 207.937671 158.182883 \nL 206.340734 161.078154 \nL 204.964342 163.883695 \nL 203.784269 166.604025 \nL 202.777884 169.243197 \nL 201.20464 174.292156 \nL 200.100236 179.055198 \nL 199.349431 183.552414 \nL 198.863334 187.800756 \nL 198.49035 193.738615 \nL 198.41738 199.193436 \nL 198.56073 204.20384 \nL 198.883306 208.80414 \nL 199.381466 213.024542 \nL 200.077827 216.890691 \nL 200.674128 219.281473 \nL 201.398534 221.527953 \nL 202.27645 223.632224 \nL 203.339695 225.593658 \nL 204.627688 227.407826 \nL 206.188948 229.064907 \nL 208.082957 230.547314 \nL 210.382359 231.826198 \nL 211.711004 232.375994 \nL 213.175506 232.856267 \nL 214.78982 233.257549 \nL 216.569229 233.568219 \nL 218.530432 233.774065 \nL 220.691595 233.857759 \nL 223.072408 233.798234 \nL 225.694082 233.569957 \nL 228.579304 233.142089 \nL 231.752113 232.477529 \nL 235.237669 231.531843 \nL 239.061869 230.252114 \nL 243.25077 228.575754 \nL 247.829735 226.429366 \nL 252.822236 223.727816 \nL 258.248187 220.373721 \nL 264.121716 216.257719 \nL 270.448229 211.259984 \nL 277.220618 205.253621 \nL 284.414558 198.110803 \nL 291.982782 189.712541 \nL 299.848448 179.963151 \nL 307.897885 168.810058 \nL 315.973321 156.269163 \nL 323.866699 142.454403 \nL 331.31614 127.608256 \nL 338.007311 112.126971 \nL 343.582174 96.571283 \nL 347.657511 81.651598 \nL 349.854548 68.177763 \nL 349.838661 56.970021 \nL 347.364962 48.7399 \nL 342.32163 43.964989 \nL 334.76068 42.792159 \nL 324.906454 45.002936 \nL 313.136668 50.057084 \nL 299.93837 57.202881 \nL 285.848799 65.618681 \nL 257.044178 83.36242 \nL 243.173836 91.646264 \nL 230.059678 99.139528 \nL 217.880264 105.72942 \nL 206.730784 111.404072 \nL 196.641003 116.214399 \nL 187.593248 120.244336 \nL 179.538161 123.590291 \nL 172.407297 126.348547 \nL 166.122557 128.608398 \nL 160.602833 130.449119 \nL 151.543795 133.137073 \nL 144.651139 134.844564 \nL 139.444439 135.878006 \nL 135.544439 136.455268 \nL 131.527212 136.799591 \nL 128.146838 136.816169 \nL 127.345639 136.885443 \nL 127.358353 137.035543 \nL 127.915381 137.633492 \nL 129.361903 139.21402 \nL 130.272527 140.537797 \nL 130.755916 141.541415 \nL 130.992927 142.460534 \nL 130.945325 143.215134 \nL 130.749014 143.591663 \nL 130.424272 143.846393 \nL 129.97962 143.965691 \nL 129.428497 143.940174 \nL 128.442879 143.622018 \nL 127.337801 142.977923 \nL 126.209128 142.048186 \nL 125.163743 140.906038 \nL 124.310506 139.654891 \nL 123.748501 138.420211 \nL 123.553796 137.335845 \nL 123.649866 136.758892 \nL 123.929457 136.335481 \nL 124.384495 136.08886 \nL 124.997662 136.033235 \nL 125.74327 136.172991 \nL 127.037202 136.734659 \nL 128.425637 137.666648 \nL 129.771036 138.878867 \nL 130.943202 140.25898 \nL 131.83192 141.684665 \nL 132.355156 143.033565 \nL 132.474937 143.832863 \nL 132.40288 144.515423 \nL 132.138925 145.053158 \nL 131.689412 145.421706 \nL 131.066962 145.601193 \nL 130.290339 145.576995 \nL 129.384312 145.340761 \nL 128.379489 144.891464 \nL 127.311939 144.23646 \nL 125.683708 142.907562 \nL 124.160754 141.254617 \nL 122.904075 139.425739 \nL 122.28998 138.200161 \nL 121.900166 137.040278 \nL 121.763509 136.006964 \nL 121.897008 135.156554 \nL 122.303745 134.536555 \nL 122.971826 134.18199 \nL 123.874627 134.112922 \nL 124.972263 134.333383 \nL 126.214226 134.831916 \nL 127.542802 135.583382 \nL 128.896905 136.551618 \nL 130.215787 137.692619 \nL 131.442326 138.957543 \nL 132.525589 140.295389 \nL 133.422559 141.65508 \nL 134.099104 142.986957 \nL 134.530273 144.243713 \nL 134.700147 145.380972 \nL 134.601432 146.35766 \nL 134.235012 147.136329 \nL 133.609552 147.683612 \nL 132.741311 147.970915 \nL 131.654106 147.975436 \nL 130.379478 147.681591 \nL 128.956902 147.082777 \nL 127.43394 146.183455 \nL 125.866041 145.001335 \nL 124.31584 143.569245 \nL 122.85168 141.936397 \nL 121.545102 140.168444 \nL 120.467257 138.345825 \nL 119.684319 136.560044 \nL 119.252207 134.907887 \nL 119.211134 133.483966 \nL 119.344321 132.884552 \nL 119.580883 132.372549 \nL 119.919542 131.955595 \nL 120.35746 131.639811 \nL 120.890238 131.429685 \nL 121.511988 131.327983 \nL 122.992103 131.452326 \nL 124.72584 132.001389 \nL 126.627438 132.940152 \nL 128.604113 134.215317 \nL 130.562892 135.761396 \nL 132.416538 137.506564 \nL 134.088014 139.377495 \nL 135.513216 141.302775 \nL 136.642102 143.214902 \nL 137.438523 145.051137 \nL 137.87921 146.753481 \nL 137.952329 148.268314 \nL 137.656059 149.545912 \nL 137.371283 150.081172 \nL 136.997451 150.540076 \nL 136.536722 150.91741 \nL 135.991754 151.208224 \nL 135.36572 151.40786 \nL 133.885848 151.516806 \nL 132.133706 151.215211 \nL 130.156049 150.483432 \nL 128.01111 149.314807 \nL 125.769666 147.720047 \nL 123.5155 145.731795 \nL 121.34466 143.40881 \nL 119.362902 140.838622 \nL 117.680959 138.137292 \nL 116.407389 135.445202 \nL 115.639258 132.918033 \nL 115.469365 131.765892 \nL 115.451743 130.713337 \nL 115.590713 129.7777 \nL 115.888078 128.974369 \nL 116.342987 128.316376 \nL 116.951839 127.814015 \nL 117.708321 127.474589 \nL 118.603468 127.302294 \nL 119.625905 127.298167 \nL 120.762081 127.46022 \nL 121.99661 127.783651 \nL 123.312668 128.261137 \nL 126.11741 129.638698 \nL 129.028943 131.498959 \nL 131.903238 133.733387 \nL 134.610041 136.230225 \nL 137.03978 138.882549 \nL 139.106735 141.592827 \nL 140.748993 144.274351 \nL 141.926132 146.850636 \nL 142.615689 149.253547 \nL 142.774564 150.370427 \nL 142.809317 151.421056 \nL 142.720548 152.398265 \nL 142.50935 153.295018 \nL 142.177257 154.10436 \nL 141.726214 154.819399 \nL 141.158545 155.433275 \nL 140.476966 155.939156 \nL 139.684601 156.330276 \nL 138.785029 156.599957 \nL 137.782329 156.741656 \nL 136.68117 156.749063 \nL 135.486885 156.616209 \nL 134.205592 156.337606 \nL 132.84429 155.908415 \nL 131.410993 155.324663 \nL 129.914838 154.583465 \nL 128.366219 153.683313 \nL 126.776893 152.624378 \nL 125.16006 151.408828 \nL 123.530452 150.041166 \nL 121.904336 148.528567 \nL 120.299518 146.881188 \nL 118.73524 145.112422 \nL 117.232047 143.239093 \nL 115.81154 141.281582 \nL 114.496067 139.263737 \nL 113.30831 137.212693 \nL 112.270754 135.158506 \nL 111.405138 133.133537 \nL 110.731776 131.171719 \nL 110.268878 129.307569 \nL 110.031821 127.575143 \nL 110.032499 126.006826 \nL 110.278694 124.632194 \nL 110.773603 123.476875 \nL 111.515483 122.561601 \nL 112.497516 121.901459 \nL 113.707849 121.505484 \nL 115.129862 121.376457 \nL 116.742647 121.511161 \nL 118.521634 121.900791 \nL 120.439393 122.531716 \nL 122.466477 123.386348 \nL 124.57236 124.444118 \nL 126.726286 125.682488 \nL 128.89813 127.077886 \nL 131.059094 128.606531 \nL 135.243342 131.971462 \nL 139.09447 135.605431 \nL 142.472694 139.361619 \nL 145.282918 143.120094 \nL 146.45624 144.969344 \nL 147.469208 146.78465 \nL 148.319565 148.556782 \nL 149.006413 150.277254 \nL 149.529932 151.938179 \nL 149.891132 153.532074 \nL 150.091639 155.051711 \nL 150.133504 156.49 \nL 150.019046 157.83986 \nL 149.750736 159.094107 \nL 149.331098 160.245375 \nL 148.762664 161.286011 \nL 148.047945 162.208041 \nL 147.189438 163.003109 \nL 146.189672 163.662428 \nL 145.05126 164.176786 \nL 143.777016 164.536558 \nL 142.370068 164.731741 \nL 140.83402 164.752027 \nL 139.173131 164.586933 \nL 137.392531 164.22598 \nL 135.498462 163.658926 \nL 133.49853 162.876078 \nL 131.401999 161.868666 \nL 129.22008 160.629354 \nL 126.966226 159.152771 \nL 124.656446 157.436195 \nL 122.309543 155.480294 \nL 119.947368 153.289915 \nL 117.59494 150.874929 \nL 115.280534 148.251034 \nL 113.035575 145.44051 \nL 110.894402 142.472754 \nL 108.893843 139.384645 \nL 107.072512 136.220472 \nL 105.469938 133.031475 \nL 104.125414 129.874855 \nL 103.076612 126.812195 \nL 102.358084 123.907402 \nL 101.999627 121.224123 \nL 102.024675 118.82289 \nL 102.448805 116.758162 \nL 103.278531 115.075547 \nL 104.510473 113.809433 \nL 106.130996 112.981397 \nL 108.116406 112.599371 \nL 110.433734 112.657856 \nL 113.041967 113.138955 \nL 115.893754 114.014275 \nL 118.937379 115.247234 \nL 122.11884 116.795719 \nL 125.383938 118.614733 \nL 128.680126 120.65873 \nL 131.958137 122.88361 \nL 135.173214 125.248219 \nL 138.285996 127.715327 \nL 141.262989 130.252154 \nL 144.076713 132.830495 \nL 146.705574 135.426569 \nL 149.133494 138.020631 \nL 151.349394 140.596496 \nL 153.346568 143.141022 \nL 155.122013 145.643554 \nL 156.675764 148.095412 \nL 158.010229 150.489461 \nL 159.129596 152.819707 \nL 160.03928 155.080962 \nL 160.745455 157.26855 \nL 161.254646 159.378105 \nL 161.573392 161.405344 \nL 161.707979 163.345917 \nL 161.664224 165.195261 \nL 161.44732 166.948469 \nL 161.061717 168.600189 \nL 160.511073 170.144479 \nL 159.798206 171.574736 \nL 158.925106 172.883554 \nL 157.892967 174.062643 \nL 156.702255 175.102705 \nL 155.352789 175.993318 \nL 153.843866 176.722871 \nL 152.174425 177.278425 \nL 150.34321 177.645689 \nL 148.349008 177.808941 \nL 146.190912 177.751039 \nL 143.868635 177.453477 \nL 141.382883 176.896536 \nL 138.735784 176.05951 \nL 135.931373 174.921085 \nL 132.976172 173.459933 \nL 129.879806 171.65545 \nL 126.655713 169.48879 \nL 123.321852 166.944145 \nL 119.901486 164.010383 \nL 116.423923 160.682932 \nL 112.925192 156.965945 \nL 109.448573 152.87469 \nL 106.044885 148.437903 \nL 102.772467 143.700052 \nL 99.696664 138.723039 \nL 96.888727 133.587141 \nL 94.424075 128.390677 \nL 92.379771 123.248116 \nL 90.831305 118.286311 \nL 89.848708 113.638773 \nL 89.492305 109.438315 \nL 89.808366 105.80849 \nL 90.825104 102.854794 \nL 92.549519 100.656742 \nL 94.965512 99.261892 \nL 98.033584 98.682764 \nL 101.692324 98.897214 \nL 105.86154 99.852118 \nL 110.446791 101.469689 \nL 115.344746 103.655582 \nL 120.448858 106.307332 \nL 125.654725 109.322185 \nL 130.864708 112.60343 \nL 135.99148 116.064839 \nL 140.960358 119.633182 \nL 145.710491 123.248964 \nL 150.194999 126.865945 \nL 154.380335 130.449718 \nL 158.245052 133.975915 \nL 161.778233 137.42823 \nL 164.977769 140.796569 \nL 167.848621 144.075417 \nL 170.401175 147.262478 \nL 172.64976 150.3576 \nL 174.611354 153.36198 \nL 176.304495 156.277588 \nL 177.748382 159.106737 \nL 178.962171 161.85184 \nL 179.964427 164.515228 \nL 180.772717 167.099048 \nL 181.403321 169.605203 \nL 181.871039 172.035345 \nL 182.18908 174.390843 \nL 182.369 176.672786 \nL 182.420697 178.881987 \nL 182.352429 181.018952 \nL 182.170856 183.083885 \nL 181.881102 185.076675 \nL 181.486813 186.996843 \nL 180.990226 188.843515 \nL 180.392235 190.615369 \nL 179.692445 192.310576 \nL 178.889235 193.926717 \nL 177.979799 195.460697 \nL 176.960185 196.908628 \nL 175.825337 198.265702 \nL 174.569121 199.526041 \nL 173.184349 200.68252 \nL 171.662815 201.726559 \nL 169.99532 202.647896 \nL 168.171715 203.434311 \nL 166.18096 204.07132 \nL 164.011196 204.54184 \nL 161.64987 204.825817 \nL 159.083878 204.899831 \nL 156.299798 204.736668 \nL 153.28419 204.304921 \nL 150.023984 203.568604 \nL 146.507026 202.486858 \nL 142.722773 201.013798 \nL 138.663179 199.098597 \nL 134.323823 196.685928 \nL 129.705318 193.716938 \nL 124.814994 190.130926 \nL 119.668964 185.867975 \nL 114.294453 180.872817 \nL 108.732426 175.100085 \nL 103.040386 168.521222 \nL 97.295159 161.133025 \nL 91.595319 152.967469 \nL 86.062861 144.102262 \nL 80.843519 134.670702 \nL 76.105055 124.869001 \nL 72.032822 114.95856 \nL 68.822006 105.260411 \nL 66.66627 96.139677 \nL 65.743168 87.978899 \nL 66.197437 81.142001 \nL 68.124159 75.933309 \nL 71.554448 72.558968 \nL 76.446522 71.099211 \nL 82.684519 71.498552 \nL 90.085933 73.57698 \nL 98.416923 77.059728 \nL 107.413004 81.618322 \nL 116.80157 86.913483 \nL 126.322699 92.63136 \nL 135.745456 98.507824 \nL 153.573847 109.984595 \nL 169.277079 120.403503 \nL 182.465985 129.503635 \nL 188.121272 133.580136 \nL 193.189604 137.372229 \nL 197.714169 140.906714 \nL 201.744225 144.209461 \nL 205.331999 147.303897 \nL 211.391234 152.945385 \nL 216.296557 157.953002 \nL 225.75208 168.086705 \nL 229.116785 171.217243 \nL 230.81409 172.573901 \nL 232.548648 173.783483 \nL 234.338356 174.838188 \nL 236.199261 175.728775 \nL 238.145714 176.444499 \nL 240.19044 176.973088 \nL 242.344578 177.300714 \nL 244.617649 177.411998 \nL 247.017465 177.290045 \nL 249.54997 176.916573 \nL 252.218994 176.272084 \nL 255.025947 175.336191 \nL 257.969396 174.088075 \nL 261.044597 172.507145 \nL 264.242935 170.573901 \nL 267.551274 168.271065 \nL 270.951302 165.585011 \nL 274.418829 162.507495 \nL 277.923106 159.037643 \nL 281.426273 155.184231 \nL 284.882934 150.968034 \nL 288.240025 146.424159 \nL 291.437076 141.604096 \nL 294.406963 136.577109 \nL 297.077254 131.430696 \nL 299.37231 126.26964 \nL 301.216065 121.213359 \nL 302.53554 116.391395 \nL 303.264873 111.936994 \nL 303.349629 107.979261 \nL 302.751003 104.634478 \nL 301.449523 101.997593 \nL 299.447685 100.135071 \nL 296.771215 99.080084 \nL 293.468635 98.830834 \nL 289.609095 99.352299 \nL 285.278661 100.581062 \nL 280.575441 102.432367 \nL 275.604052 104.80846 \nL 270.470097 107.606739 \nL 265.275081 110.72707 \nL 260.112246 114.077247 \nL 255.063554 117.576641 \nL 250.197807 121.15794 \nL 245.569935 124.767368 \nL 241.221174 128.363781 \nL 237.179967 131.917096 \nL 233.463339 135.406395 \nL 230.078533 138.818019 \nL 227.024728 142.143792 \nL 224.29475 145.379533 \nL 221.876632 148.523806 \nL 219.755021 151.576987 \nL 217.912378 154.540539 \nL 216.329987 157.416518 \nL 214.988765 160.207227 \nL 213.869904 162.914988 \nL 212.955358 165.541991 \nL 212.228197 168.090224 \nL 211.672854 170.561442 \nL 211.275289 172.95711 \nL 211.023076 175.278434 \nL 210.905443 177.526322 \nL 210.913266 179.7014 \nL 211.039044 181.803984 \nL 211.276846 183.834074 \nL 211.622257 185.79132 \nL 212.072311 187.674984 \nL 212.625424 189.483911 \nL 213.281337 191.216452 \nL 214.041054 192.870399 \nL 214.906796 194.442895 \nL 215.881949 195.930339 \nL 216.971033 197.328259 \nL 218.179663 198.631168 \nL 219.51452 199.832406 \nL 220.983322 200.923935 \nL 222.594797 201.896127 \nL 224.358629 202.737499 \nL 226.285423 203.434431 \nL 228.386621 203.970847 \nL 230.674405 204.327848 \nL 233.161545 204.483334 \nL 235.861223 204.411594 \nL 238.78673 204.082902 \nL 241.951135 203.46313 \nL 245.366776 202.513428 \nL 249.044637 201.190019 \nL 252.993536 199.444205 \nL 257.219085 197.222674 \nL 261.722395 194.468271 \nL 266.498508 191.121417 \nL 271.53449 187.122367 \nL 276.807209 182.414589 \nL 282.280827 176.949463 \nL 287.904105 170.692532 \nL 293.60762 163.631388 \nL 299.301228 155.784946 \nL 304.872126 147.213695 \nL 310.184008 138.02975 \nL 315.078015 128.405174 \nL 319.376119 118.576149 \nL 322.887617 108.840486 \nL 325.419084 99.545873 \nL 326.787675 91.067479 \nL 326.837057 83.775461 \nL 325.454176 77.995793 \nL 322.584545 73.970583 \nL 318.243139 71.826187 \nL 312.518525 71.556643 \nL 305.568596 73.027189 \nL 297.608115 75.997394 \nL 288.88992 80.158309 \nL 279.683041 85.17502 \nL 270.251241 90.725304 \nL 260.835115 96.528246 \nL 242.827122 108.05744 \nL 226.78645 118.669305 \nL 213.204433 128.00013 \nL 207.354681 132.189157 \nL 202.101347 136.087952 \nL 197.405094 139.722358 \nL 193.219125 143.118261 \nL 189.49258 146.29968 \nL 183.208757 152.100327 \nL 178.146975 157.254182 \nL 166.871527 169.45399 \nL 163.533134 172.470153 \nL 161.829582 173.76718 \nL 160.077515 174.914492 \nL 158.260099 175.903527 \nL 156.362196 176.72425 \nL 154.370268 177.365073 \nL 152.272318 177.812846 \nL 150.057875 178.052805 \nL 147.718062 178.068586 \nL 145.245729 177.842303 \nL 142.635643 177.354652 \nL 139.884784 176.585162 \nL 136.992696 175.512561 \nL 133.961942 174.115297 \nL 130.798647 172.372287 \nL 127.513112 170.263915 \nL 124.120472 167.773284 \nL 120.641448 164.887818 \nL 117.103044 161.601169 \nL 113.539242 157.915385 \nL 109.991555 153.843337 \nL 106.509358 149.411208 \nL 103.149932 144.660864 \nL 99.978036 139.6518 \nL 97.064897 134.462298 \nL 94.48656 129.189444 \nL 92.321441 123.947493 \nL 90.647138 118.864394 \nL 89.536544 114.076271 \nL 89.05349 109.72007 \nL 89.248256 105.924877 \nL 90.153302 102.802765 \nL 91.779814 100.440254 \nL 94.115479 98.891785 \nL 97.123874 98.175873 \nL 100.745672 98.274998 \nL 104.901626 99.138809 \nL 109.497034 100.690462 \nL 114.427206 102.834722 \nL 119.583272 105.466829 \nL 124.857855 108.480791 \nL 130.149931 111.7762 \nL 135.368684 115.263058 \nL 140.436056 118.864634 \nL 145.28813 122.518469 \nL 149.875382 126.17591 \nL 154.162106 129.800751 \nL 158.125192 133.367365 \nL 161.752537 136.858633 \nL 165.041263 140.264015 \nL 167.995932 143.577825 \nL 170.626834 146.797768 \nL 172.948443 149.923845 \nL 174.978067 152.95745 \nL 176.734705 155.900803 \nL 178.238117 158.756479 \nL 179.508077 161.52716 \nL 180.563803 164.215431 \nL 181.423529 166.82369 \nL 182.104206 169.354095 \nL 182.621293 171.808521 \nL 182.988644 174.188587 \nL 183.218447 176.495619 \nL 183.321208 178.730681 \nL 183.305778 180.894549 \nL 182.947765 185.01044 \nL 182.184135 188.843626 \nL 181.656383 190.652802 \nL 181.031991 192.38879 \nL 180.3099 194.049792 \nL 179.487877 195.633429 \nL 178.562553 197.136638 \nL 177.529461 198.55557 \nL 176.383063 199.885453 \nL 175.116767 201.120437 \nL 173.72295 202.253424 \nL 172.192979 203.275846 \nL 170.517234 204.177428 \nL 168.685139 204.945916 \nL 166.685209 205.566754 \nL 164.505124 206.022747 \nL 162.131832 206.293657 \nL 159.551695 206.355798 \nL 156.750712 206.181585 \nL 153.714799 205.739096 \nL 150.430199 204.991668 \nL 146.884 203.897544 \nL 143.064845 202.40968 \nL 138.96382 200.47579 \nL 134.575607 198.038733 \nL 129.899909 195.03744 \nL 124.943205 191.408574 \nL 119.720834 187.089177 \nL 114.259452 182.020574 \nL 108.599764 176.153779 \nL 102.799494 169.456645 \nL 96.936298 161.922758 \nL 91.110447 153.581816 \nL 85.446666 144.510833 \nL 80.094662 134.844778 \nL 75.2275 124.784674 \nL 71.037138 114.600442 \nL 67.726455 104.625522 \nL 65.497429 95.24081 \nL 64.535795 86.846606 \nL 64.993443 79.824389 \nL 66.970445 74.493025 \nL 70.499848 71.067477 \nL 75.53815 69.629128 \nL 81.96399 70.115485 \nL 89.586131 72.33265 \nL 98.159863 75.987615 \nL 107.409025 80.732625 \nL 117.049949 86.211066 \nL 126.813324 92.095681 \nL 145.797568 104.057577 \nL 162.98295 115.208529 \nL 177.691315 125.009014 \nL 189.796578 133.438334 \nL 194.932419 137.195438 \nL 199.514774 140.685799 \nL 203.595185 143.937014 \nL 210.467368 149.817254 \nL 215.977617 154.990478 \nL 222.536204 161.627688 \nL 226.246015 165.366751 \nL 229.732919 168.562915 \nL 231.459332 169.9504 \nL 233.204441 171.190749 \nL 234.987791 172.27711 \nL 236.826779 173.20123 \nL 238.736803 173.953423 \nL 240.731394 174.522593 \nL 242.822268 174.89621 \nL 245.019348 175.060353 \nL 247.330699 174.999787 \nL 249.762412 174.698055 \nL 252.318421 174.137706 \nL 255.00024 173.300577 \nL 257.806617 172.168241 \nL 260.73314 170.722596 \nL 263.77175 168.946662 \nL 266.910213 166.825574 \nL 270.131529 164.347865 \nL 273.413367 161.506943 \nL 276.727505 158.302832 \nL 280.039353 154.744114 \nL 283.307631 150.849934 \nL 286.484283 146.651967 \nL 289.514714 142.196154 \nL 292.338447 137.54389 \nL 294.890336 132.772438 \nL 297.10231 127.974184 \nL 298.905775 123.254504 \nL 300.234594 118.728089 \nL 301.028512 114.513716 \nL 301.236875 110.727721 \nL 300.822264 107.476754 \nL 299.76376 104.850521 \nL 298.059417 102.915402 \nL 295.727617 101.709845 \nL 292.807014 101.24224 \nL 289.355078 101.491541 \nL 285.445213 102.410549 \nL 281.162836 103.931291 \nL 276.600778 105.971699 \nL 271.854461 108.442618 \nL 267.017355 111.254289 \nL 262.17706 114.321633 \nL 257.412284 117.567984 \nL 252.790795 120.927366 \nL 248.368361 124.345267 \nL 244.188538 127.778393 \nL 240.28317 131.193665 \nL 236.67336 134.566782 \nL 233.370791 137.880644 \nL 230.379178 141.123836 \nL 227.695766 144.289216 \nL 225.312766 147.37276 \nL 223.218664 150.372611 \nL 221.399389 153.28833 \nL 219.839298 156.120365 \nL 218.522003 158.869647 \nL 217.431038 161.537298 \nL 216.550378 164.124467 \nL 215.864842 166.632189 \nL 215.360375 169.061303 \nL 215.024255 171.4124 \nL 214.845223 173.685789 \nL 214.813554 175.881452 \nL 214.921091 177.999021 \nL 215.161243 180.037734 \nL 215.528957 181.99641 \nL 216.020681 183.873378 \nL 216.634318 185.666421 \nL 217.369169 187.372695 \nL 218.225876 188.98864 \nL 219.206367 190.509878 \nL 220.313802 191.931084 \nL 221.55251 193.245832 \nL 222.927941 194.446431 \nL 224.446599 195.523742 \nL 226.115976 196.46694 \nL 227.94447 197.263288 \nL 229.94129 197.89786 \nL 232.116319 198.353258 \nL 234.479967 198.60929 \nL 237.042949 198.642664 \nL 239.816011 198.426681 \nL 242.80958 197.930969 \nL 246.033297 197.121276 \nL 249.49544 195.959381 \nL 253.202177 194.403214 \nL 257.156665 192.40723 \nL 261.357918 189.923189 \nL 265.799451 186.901469 \nL 270.467708 183.293068 \nL 275.340204 179.052501 \nL 280.38352 174.141696 \nL 285.551122 168.535102 \nL 290.781223 162.225912 \nL 295.994836 155.233365 \nL 301.09436 147.610596 \nL 305.963074 139.452266 \nL 310.466026 130.900813 \nL 314.452795 122.149596 \nL 317.762581 113.441141 \nL 320.231958 105.058703 \nL 321.705149 97.310161 \nL 322.046266 90.504244 \nL 321.152458 84.921592 \nL 318.966156 80.784328 \nL 315.484523 78.229972 \nL 310.764107 77.295089 \nL 304.919461 77.912698 \nL 298.115449 79.924404 \nL 290.554172 83.104436 \nL 282.458617 87.190374 \nL 274.055448 91.914044 \nL 265.559473 97.027174 \nL 257.161569 102.3186 \nL 249.020882 107.622529 \nL 233.971822 117.829248 \nL 227.208817 122.608063 \nL 221.000834 127.135617 \nL 215.353384 131.4097 \nL 210.254039 135.439328 \nL 205.677099 139.239769 \nL 201.587642 142.82904 \nL 197.944877 146.225551 \nL 194.704811 149.44665 \nL 191.822301 152.50788 \nL 189.252557 155.422589 \nL 184.880046 160.854841 \nL 181.268319 165.807913 \nL 173.863579 176.278147 \nL 171.016016 179.700389 \nL 169.535233 181.235834 \nL 167.993906 182.646807 \nL 166.376517 183.926151 \nL 164.668465 185.06526 \nL 162.855922 186.053927 \nL 160.925757 186.88019 \nL 158.865463 187.530168 \nL 156.663186 187.987865 \nL 154.307765 188.235033 \nL 151.788861 188.251003 \nL 149.097169 188.012577 \nL 146.224685 187.493989 \nL 143.165116 186.666973 \nL 139.914368 185.500951 \nL 136.471178 183.963468 \nL 132.837883 182.020848 \nL 129.021319 179.63925 \nL 125.033888 176.786117 \nL 120.894735 173.432215 \nL 116.631023 169.554211 \nL 112.279291 165.137932 \nL 107.886722 160.182241 \nL 103.51224 154.703414 \nL 99.227291 148.739763 \nL 95.116025 142.356109 \nL 91.274678 135.647398 \nL 87.809838 128.740721 \nL 84.835394 121.794765 \nL 82.468014 114.995843 \nL 80.821164 108.549877 \nL 79.997861 102.670194 \nL 80.082746 97.56198 \nL 81.134211 93.404867 \nL 83.17764 90.336205 \nL 86.200743 88.43765 \nL 90.151963 87.727766 \nL 94.942358 88.162009 \nL 100.450993 89.640278 \nL 106.533182 92.02043 \nL 113.0305 95.135263 \nL 119.781211 98.809821 \nL 126.629911 102.876372 \nL 133.435311 107.185494 \nL 140.075761 111.612459 \nL 146.452261 116.059462 \nL 152.489298 120.454624 \nL 158.13392 124.748804 \nL 163.353593 128.911491 \nL 168.133366 132.926442 \nL 172.472741 136.787689 \nL 176.38258 140.496207 \nL 179.882233 144.057272 \nL 182.997033 147.478504 \nL 185.75617 150.768526 \nL 188.190968 153.936065 \nL 190.33353 156.989416 \nL 192.215708 159.936176 \nL 193.868355 162.783093 \nL 195.320808 165.536091 \nL 197.733063 170.780105 \nL 199.647775 175.701177 \nL 201.934564 182.528613 \nL 205.172671 192.553446 \nL 206.528625 196.112841 \nL 208.027772 199.416551 \nL 209.736148 202.457812 \nL 211.720694 205.221788 \nL 212.838587 206.492282 \nL 214.052838 207.682748 \nL 215.373592 208.787597 \nL 216.811645 209.799957 \nL 218.378511 210.711459 \nL 220.086492 211.511965 \nL 221.948704 212.189258 \nL 223.979121 212.728697 \nL 226.192556 213.112804 \nL 228.604627 213.320815 \nL 231.231669 213.328157 \nL 234.090571 213.105911 \nL 237.198544 212.620217 \nL 240.572763 211.831704 \nL 244.229859 210.694924 \nL 248.185263 209.157935 \nL 252.452273 207.162053 \nL 257.040876 204.641975 \nL 261.95621 201.526427 \nL 267.196652 197.739609 \nL 272.751442 193.203724 \nL 278.597845 187.843014 \nL 284.697847 181.589637 \nL 290.994502 174.391802 \nL 297.408068 166.224311 \nL 303.832295 157.101462 \nL 310.1314 147.091665 \nL 316.138481 136.332201 \nL 321.656307 125.041767 \nL 326.461555 113.527164 \nL 330.313509 102.179881 \nL 332.967951 91.458445 \nL 334.195959 81.854351 \nL 333.806472 73.842516 \nL 331.669849 67.822607 \nL 327.738504 64.062214 \nL 322.060236 62.655497 \nL 314.780528 63.508981 \nL 306.132213 66.359734 \nL 296.413693 70.821618 \nL 285.959601 76.447342 \nL 275.109576 82.790656 \nL 253.445823 96.125463 \nL 189.958991 135.857378 \nL 180.765143 142.025144 \nL 173.485215 147.212625 \nL 165.119034 153.544559 \nL 158.619401 158.414279 \nL 154.801783 160.899814 \nL 152.957884 161.911207 \nL 151.125847 162.763253 \nL 149.286152 163.45053 \nL 147.422261 163.966541 \nL 145.52045 164.303877 \nL 143.569683 164.454371 \nL 141.561526 164.409287 \nL 139.490123 164.159541 \nL 137.352211 163.695961 \nL 135.14718 163.009651 \nL 132.87718 162.092364 \nL 130.547271 160.936986 \nL 128.165564 159.538146 \nL 125.743438 157.892839 \nL 123.295685 156.001203 \nL 120.840666 153.86733 \nL 118.400431 151.500134 \nL 116.000713 148.914182 \nL 113.670831 146.130519 \nL 111.443456 143.177286 \nL 109.354169 140.090145 \nL 107.440792 136.912365 \nL 105.742506 133.694451 \nL 104.298738 130.493304 \nL 103.147771 127.370746 \nL 102.325213 124.391533 \nL 101.862338 121.620852 \nL 101.784415 119.121428 \nL 102.109112 116.950486 \nL 102.845186 115.156861 \nL 103.991504 113.778452 \nL 105.536539 112.840315 \nL 107.45846 112.353666 \nL 109.725729 112.315887 \nL 112.298321 112.71134 \nL 115.129337 113.51319 \nL 118.166973 114.685694 \nL 121.356644 116.186895 \nL 124.643123 117.971349 \nL 127.972509 119.992594 \nL 131.293929 122.205315 \nL 134.560903 124.566953 \nL 137.732297 127.038847 \nL 140.772904 129.586823 \nL 143.653652 132.181416 \nL 146.351526 134.797725 \nL 148.849216 137.415078 \nL 151.134624 140.016563 \nL 153.20024 142.588456 \nL 155.042458 145.119674 \nL 156.660877 147.601254 \nL 158.057652 150.025872 \nL 159.236837 152.387442 \nL 160.203843 154.680748 \nL 160.964928 156.901167 \nL 161.526769 159.044399 \nL 161.896114 161.106283 \nL 162.079494 163.082624 \nL 162.082986 164.969037 \nL 161.912055 166.76083 \nL 161.571425 168.452864 \nL 161.065008 170.039463 \nL 160.395854 171.514299 \nL 159.566167 172.870281 \nL 158.577308 174.09943 \nL 157.429868 175.192796 \nL 156.123739 176.140326 \nL 154.658236 176.93077 \nL 153.032235 177.551583 \nL 151.244338 177.988831 \nL 149.293099 178.227146 \nL 147.177268 178.249675 \nL 144.896086 178.038154 \nL 142.449646 177.572956 \nL 139.839306 176.833341 \nL 137.068154 175.797741 \nL 134.14157 174.444293 \nL 131.067837 172.751488 \nL 127.858809 170.699151 \nL 124.530678 168.269609 \nL 121.104734 165.449246 \nL 117.608149 162.23033 \nL 114.074691 158.613136 \nL 110.545357 154.608323 \nL 107.068806 150.239414 \nL 103.701451 145.545175 \nL 100.507147 140.581665 \nL 97.556344 135.423563 \nL 94.924553 130.164384 \nL 92.690064 124.915173 \nL 90.930898 119.801401 \nL 89.721083 114.95779 \nL 89.126361 110.521303 \nL 89.199711 106.62267 \nL 89.977048 103.377286 \nL 91.473599 100.876535 \nL 93.681434 99.180784 \nL 96.568565 98.315106 \nL 100.079805 98.268404 \nL 104.139453 98.996047 \nL 108.655492 100.42568 \nL 113.524914 102.465078 \nL 118.639496 105.010922 \nL 123.891489 107.957237 \nL 129.178672 111.202449 \nL 134.408359 114.654645 \nL 139.500224 118.234762 \nL 144.387854 121.877842 \nL 149.019215 125.53286 \nL 153.356197 129.161503 \nL 157.373512 132.736354 \nL 161.057152 136.238865 \nL 164.40265 139.657391 \nL 167.413284 142.985425 \nL 170.09835 146.220096 \nL 172.471592 149.361012 \nL 174.549817 152.40932 \nL 176.351716 155.367084 \nL 177.896897 158.236803 \nL 179.205111 161.021116 \nL 180.295647 163.722617 \nL 181.186883 166.343704 \nL 181.895964 168.886559 \nL 182.438583 171.353093 \nL 182.828841 173.744942 \nL 183.079184 176.063457 \nL 183.200379 178.309727 \nL 183.201533 180.484565 \nL 182.872107 184.621735 \nL 182.13246 188.475472 \nL 181.615485 190.294717 \nL 181.001308 192.040672 \nL 180.28904 193.711582 \nL 179.476608 195.3051 \nL 178.560795 196.818217 \nL 177.537276 198.247138 \nL 176.400647 199.587159 \nL 175.14445 200.832513 \nL 173.761191 201.97619 \nL 172.242361 203.00974 \nL 170.578464 203.923015 \nL 168.759041 204.703919 \nL 166.772729 205.338085 \nL 164.607319 205.808537 \nL 162.249873 206.095288 \nL 159.686857 206.174949 \nL 156.904352 206.020277 \nL 153.888356 205.599739 \nL 150.625152 204.877113 \nL 147.101844 203.811127 \nL 143.307034 202.355267 \nL 139.231712 200.457795 \nL 134.870363 198.062123 \nL 130.222391 195.107699 \nL 125.293825 191.531598 \nL 120.099387 187.271113 \nL 114.664902 182.267512 \nL 109.030005 176.471361 \nL 103.251062 169.849478 \nL 97.404104 162.393659 \nL 91.587482 154.130948 \nL 85.923793 145.134659 \nL 80.560459 135.535087 \nL 75.668317 125.527722 \nL 71.437354 115.376534 \nL 68.06904 105.409235 \nL 65.764838 96.002088 \nL 64.711197 87.552911 \nL 65.062121 80.443729 \nL 66.921337 74.997518 \nL 70.326866 71.436762 \nL 75.241082 69.852877 \nL 81.548762 70.194487 \nL 89.064363 72.278018 \nL 97.547708 75.818566 \nL 106.725597 80.473219 \nL 116.315549 85.886839 \nL 126.047788 91.730763 \nL 145.021185 103.669419 \nL 162.24473 114.846163 \nL 177.016325 124.693393 \nL 189.191271 133.174091 \nL 194.36046 136.956224 \nL 198.973862 140.470707 \nL 203.082427 143.745076 \nL 210.001002 149.669106 \nL 215.543891 154.883912 \nL 222.127381 161.582819 \nL 225.839973 165.364721 \nL 229.320625 168.606654 \nL 231.041069 170.018527 \nL 232.778598 171.284479 \nL 234.552971 172.397813 \nL 236.3818 173.350422 \nL 238.280716 174.132765 \nL 240.263489 174.733883 \nL 242.342105 175.141358 \nL 244.526771 175.341371 \nL 246.825879 175.318731 \nL 249.245893 175.056988 \nL 251.791166 174.538614 \nL 254.463691 173.745284 \nL 257.26276 172.658298 \nL 260.184577 171.259132 \nL 263.221768 169.5302 \nL 266.362848 167.45584 \nL 269.591644 165.02354 \nL 272.886706 162.225407 \nL 276.220711 159.059906 \nL 279.559966 155.533761 \nL 282.86403 151.664054 \nL 286.085574 147.480225 \nL 289.170553 143.025919 \nL 292.058781 138.360331 \nL 294.685024 133.558806 \nL 296.980697 128.712335 \nL 298.876177 123.925641 \nL 300.303722 119.313734 \nL 301.200915 114.996854 \nL 301.514389 111.093991 \nL 301.203594 107.715591 \nL 300.244235 104.956033 \nL 298.630925 102.886905 \nL 296.378806 101.551979 \nL 293.523739 100.964545 \nL 290.12104 101.107597 \nL 286.24279 101.936797 \nL 281.973958 103.385747 \nL 277.407783 105.37262 \nL 272.640876 107.807403 \nL 267.768502 110.598574 \nL 262.880492 113.658742 \nL 258.057998 116.90875 \nL 253.371282 120.280129 \nL 248.878495 123.716089 \nL 244.62536 127.171384 \nL 240.645592 130.611344 \nL 236.961838 134.010458 \nL 233.586996 137.350744 \nL 230.525673 140.620198 \nL 227.775721 143.81131 \nL 225.329705 146.919859 \nL 223.176257 149.943916 \nL 221.301277 152.883073 \nL 219.688962 155.73785 \nL 218.322664 158.509293 \nL 217.185579 161.198669 \nL 216.261297 163.80727 \nL 215.534217 166.336288 \nL 214.989846 168.786733 \nL 214.615022 171.159366 \nL 214.398043 173.454667 \nL 214.328752 175.672808 \nL 214.398566 177.813617 \nL 214.600481 179.876554 \nL 214.929047 181.860679 \nL 215.380328 183.764586 \nL 215.951853 185.586357 \nL 216.642564 187.323484 \nL 217.452759 188.972798 \nL 218.38403 190.530356 \nL 219.439216 191.991333 \nL 220.622342 193.349871 \nL 221.938574 194.598933 \nL 223.394155 195.730113 \nL 224.996344 196.733427 \nL 226.753353 197.597083 \nL 228.674256 198.307211 \nL 230.768877 198.847588 \nL 233.047666 199.199314 \nL 235.521494 199.340508 \nL 238.201438 199.245969 \nL 241.098446 198.886883 \nL 244.22295 198.230556 \nL 247.584339 197.240258 \nL 251.190303 195.875203 \nL 255.045996 194.090761 \nL 259.153013 191.839028 \nL 263.508131 189.069825 \nL 268.101835 185.732347 \nL 272.916533 181.777618 \nL 277.924621 177.161918 \nL 283.086287 171.851336 \nL 288.347273 165.82759 \nL 293.636739 159.094997 \nL 298.865463 151.68833 \nL 303.924744 143.680983 \nL 308.686499 135.192347 \nL 313.005003 126.392997 \nL 316.720824 117.505757 \nL 319.667382 108.800754 \nL 321.680176 100.582912 \nL 322.608506 93.171236 \nL 322.328717 86.871199 \nL 320.757538 81.943337 \nL 317.863521 78.573311 \nL 313.674499 76.849388 \nL 308.279321 76.752507 \nL 301.823038 78.161674 \nL 294.495873 80.873553 \nL 286.517679 84.631925 \nL 278.120254 89.160378 \nL 269.53027 94.19204 \nL 260.954971 99.491584 \nL 252.57213 104.867887 \nL 236.918315 115.323478 \nL 223.286277 124.912869 \nL 217.316331 129.318256 \nL 211.909961 133.466917 \nL 207.046137 137.372837 \nL 202.692739 141.054099 \nL 198.810306 144.529997 \nL 195.35506 147.819171 \nL 192.281261 150.938586 \nL 189.542968 153.903012 \nL 184.895311 159.414266 \nL 181.07922 164.425745 \nL 173.384033 174.984254 \nL 170.479549 178.425421 \nL 168.978964 179.967467 \nL 167.422696 181.383261 \nL 165.794718 182.665731 \nL 164.080042 183.806364 \nL 162.264578 184.795066 \nL 160.33504 185.62001 \nL 158.278886 186.267495 \nL 156.084321 186.721776 \nL 153.740346 186.96492 \nL 151.236885 186.976677 \nL 148.564976 186.734389 \nL 145.717058 186.212975 \nL 142.687346 185.385043 \nL 139.472326 184.221084 \nL 136.071363 182.689938 \nL 132.487453 180.759504 \nL 128.728085 178.397762 \nL 124.806282 175.574274 \nL 120.741696 172.262142 \nL 116.561843 168.440559 \nL 112.303351 164.097939 \nL 108.013122 159.235626 \nL 103.749342 153.872014 \nL 99.582127 148.046877 \nL 95.59357 141.825448 \nL 91.877056 135.301619 \nL 88.535457 128.599612 \nL 85.678138 121.873124 \nL 83.416538 115.301283 \nL 81.858446 109.080796 \nL 81.101135 103.414432 \nL 81.223906 98.496298 \nL 82.280766 94.495698 \nL 84.294192 91.541677 \nL 87.25093 89.71082 \nL 91.100593 89.020494 \nL 95.757535 89.429014 \nL 101.105978 90.842633 \nL 107.007737 93.128044 \nL 113.311552 96.127998 \nL 119.862871 99.677365 \nL 126.512877 103.617083 \nL 133.125859 107.804525 \nL 139.584463 112.119744 \nL 145.792641 116.467793 \nL 151.676553 120.777969 \nL 157.183813 125.001119 \nL 162.28158 129.105878 \nL 166.953917 133.074675 \nL 171.198897 136.900035 \nL 175.025674 140.581408 \nL 178.451763 144.122641 \nL 181.500622 147.530104 \nL 184.199617 150.81135 \nL 186.578332 153.974247 \nL 188.667246 157.026399 \nL 190.496713 159.974855 \nL 192.096208 162.825985 \nL 193.493808 165.585414 \nL 195.786722 170.848275 \nL 197.562453 175.795823 \nL 198.976213 180.452788 \nL 200.686861 186.934273 \nL 203.193427 196.503148 \nL 204.273189 199.924594 \nL 205.480528 203.120176 \nL 206.867792 206.088519 \nL 208.489361 208.822628 \nL 210.404645 211.307863 \nL 211.493057 212.449794 \nL 212.680861 213.519017 \nL 213.978111 214.510038 \nL 215.395661 215.416086 \nL 216.945248 216.228875 \nL 218.639542 216.938322 \nL 220.492197 217.532225 \nL 222.517889 217.995873 \nL 224.732323 218.311614 \nL 227.152206 218.458336 \nL 229.79518 218.410906 \nL 232.679678 218.139525 \nL 235.824722 217.609065 \nL 239.24957 216.778336 \nL 242.973252 215.599397 \nL 247.013877 214.016942 \nL 251.387736 211.967846 \nL 256.108068 209.381072 \nL 261.183461 206.178066 \nL 266.615823 202.274013 \nL 272.397801 197.580253 \nL 278.50968 192.008313 \nL 284.915668 185.476084 \nL 291.559687 177.916612 \nL 298.360823 169.289856 \nL 305.208799 159.597495 \nL 311.959997 148.900207 \nL 318.43496 137.335828 \nL 324.418446 125.1356 \nL 329.66337 112.634256 \nL 333.900016 100.26855 \nL 336.85139 88.558678 \nL 338.254952 78.069194 \nL 337.889114 69.350045 \nL 335.601529 62.864963 \nL 331.334295 58.92117 \nL 325.140383 57.618081 \nL 317.186637 58.830437 \nL 307.741095 62.23254 \nL 297.146305 67.357674 \nL 285.783666 73.676173 \nL 274.036045 80.671314 \nL 229.367987 108.036136 \nL 211.008543 118.901746 \nL 170.369762 142.586606 \nL 153.721187 152.694705 \nL 149.745025 154.743848 \nL 147.888663 155.540363 \nL 146.086442 156.184116 \nL 144.317867 156.673119 \nL 142.565941 157.004555 \nL 140.816941 157.175052 \nL 139.060214 157.180875 \nL 137.288022 157.01823 \nL 135.495419 156.683488 \nL 133.68016 156.173506 \nL 131.842633 155.485903 \nL 129.985814 154.61942 \nL 128.115246 153.574298 \nL 126.239001 152.352668 \nL 124.367664 150.958957 \nL 122.514269 149.400316 \nL 120.694201 147.687011 \nL 118.925075 145.832786 \nL 117.226515 143.855144 \nL 115.61987 141.775534 \nL 114.127832 139.619389 \nL 112.773964 137.415951 \nL 111.582114 135.197947 \nL 110.575732 133.000991 \nL 109.777112 130.862743 \nL 109.206563 128.821871 \nL 108.881577 126.916826 \nL 108.816011 125.184485 \nL 109.019329 123.658752 \nL 109.495977 122.369226 \nL 110.244933 121.340039 \nL 111.259479 120.588951 \nL 112.527206 120.126749 \nL 114.030262 119.957058 \nL 115.745882 120.076528 \nL 117.647077 120.475389 \nL 119.703554 121.138288 \nL 121.882711 122.045333 \nL 124.150672 123.173285 \nL 126.473334 124.496728 \nL 128.817323 125.989187 \nL 131.15082 127.624123 \nL 133.444263 129.375722 \nL 135.670843 131.219517 \nL 139.831868 135.09479 \nL 141.728767 137.086878 \nL 143.483645 139.092409 \nL 145.085614 141.096683 \nL 146.526547 143.086707 \nL 147.800756 145.051017 \nL 148.904674 146.979431 \nL 149.836492 148.862821 \nL 150.59585 150.69289 \nL 151.183508 152.461974 \nL 151.601072 154.162862 \nL 151.850733 155.788603 \nL 151.935067 157.33237 \nL 151.85685 158.78734 \nL 151.618915 160.14655 \nL 151.224056 161.402817 \nL 150.674956 162.548623 \nL 149.974165 163.576054 \nL 149.124089 164.476729 \nL 148.127028 165.241741 \nL 146.985245 165.861628 \nL 145.701045 166.326372 \nL 144.276927 166.625407 \nL 142.715716 166.74766 \nL 141.02077 166.681657 \nL 139.19619 166.415649 \nL 137.247078 165.937838 \nL 135.179818 165.236637 \nL 133.002381 164.301052 \nL 130.724666 163.121132 \nL 128.358854 161.688562 \nL 125.919745 159.997333 \nL 123.425113 158.044549 \nL 120.896029 155.831323 \nL 118.357106 153.363753 \nL 115.836687 150.653912 \nL 113.366869 147.720826 \nL 110.983412 144.591359 \nL 108.725388 141.300814 \nL 106.634624 137.893274 \nL 104.754842 134.421401 \nL 103.130514 130.945734 \nL 101.805446 127.533262 \nL 100.821069 124.255339 \nL 100.21459 121.184922 \nL 100.017054 118.39333 \nL 100.251463 115.946688 \nL 100.251463 115.946688 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9b8cd4cf53\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.110432pt\" version=\"1.1\" viewBox=\"0 0 293.287542 285.110432\" width=\"293.287542pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T23:54:38.144825</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.110432 \nL 293.287542 285.110432 \nL 293.287542 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 33.96873 209.877507 \nL 121.496073 135.873605 \nL 120.54163 29.472634 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 64.870817 219.970129 \nL 150.73832 144.373172 \nL 151.035454 37.201929 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.470933 230.290727 \nL 180.585892 153.048683 \nL 182.188042 45.098202 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 128.792999 240.847113 \nL 211.057782 161.905658 \nL 214.020975 53.166923 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 161.862042 251.647463 \nL 242.173784 170.949852 \nL 246.556786 61.413803 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 34.73086 209.233131 \nL 32.441203 211.169024 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(15.884994 233.170232)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 65.619172 219.311284 \nL 63.370862 221.290675 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(46.818712 243.476691)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 97.204693 229.616921 \nL 95.000195 231.641292 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(85.824922 254.016841)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 129.511298 240.157831 \nL 127.353214 242.228734 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(115.004315 264.798721)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 162.563967 250.942165 \nL 160.455043 253.061222 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(148.115732 275.830744)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 36.604034 84.245965 \nL 41.313221 195.945526 \nL 189.491362 243.468283 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 51.984457 73.022033 \nL 55.962631 183.6661 \nL 202.759242 229.852174 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 66.927455 62.117314 \nL 70.213202 171.720989 \nL 215.647155 216.626004 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.451427 51.518381 \nL 84.081004 160.096722 \nL 228.171194 203.773259 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 95.573755 41.212549 \nL 97.581253 148.780545 \nL 240.346555 191.278345 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.310872 31.187827 \nL 110.728372 137.76037 \nL 252.187598 179.126522 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 188.243157 243.067966 \nL 191.990976 244.269943 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(191.722837 264.380245)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 201.523577 229.463402 \nL 205.233696 230.630702 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(204.812664 250.562646)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 214.42383 216.248284 \nL 218.096855 217.382388 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(224.898502 237.140984)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 226.960009 203.406126 \nL 230.596541 204.508429 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(234.072807 224.098482)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 239.147312 190.921359 \nL 242.747946 191.993181 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(246.08418 211.419297)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 251.000103 178.779269 \nL 254.565425 179.821857 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(257.765557 199.088456)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.148986 154.002356 \nL 114.938096 113.680286 \nL 26.256611 186.169969 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.028608 134.79366 \nL 114.724366 95.093838 \nL 25.308695 166.485894 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.921996 115.284362 \nL 114.507454 76.230564 \nL 24.345374 146.481901 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.829474 95.467351 \nL 114.287286 57.084236 \nL 23.366268 126.150127 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.75138 75.335289 \nL 114.06379 37.648433 \nL 22.370986 105.482448 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.954967 153.663807 \nL 259.539889 154.680266 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.188113 159.037104)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 256.824968 134.460213 \nL 260.438798 135.461359 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.207487 139.867098)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 257.708579 114.95622 \nL 261.351785 115.941446 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.242765 120.398017)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 258.606121 95.144722 \nL 262.279184 96.113401 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.294321 100.622807)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 259.517926 75.018391 \nL 263.221339 75.969869 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 50 -->\n     <g transform=\"translate(273.362542 80.534192)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_21\">\n    <path clip-path=\"url(#p66a1344950)\" d=\"M 140.705822 191.353523 \nL 140.91037 190.54154 \nL 141.397111 189.936756 \nL 142.142624 189.426072 \nL 143.771332 188.669246 \nL 158.12933 182.821543 \nL 163.102205 180.464884 \nL 169.191667 177.303939 \nL 176.570227 173.05386 \nL 180.786733 170.410304 \nL 185.367096 167.353441 \nL 190.308294 163.828945 \nL 195.592139 159.782649 \nL 201.179451 155.165008 \nL 207.00294 149.937891 \nL 212.958899 144.084318 \nL 218.898215 137.621648 \nL 224.617698 130.618292 \nL 229.853579 123.213116 \nL 234.28015 115.635018 \nL 237.517724 108.217771 \nL 239.15491 101.401929 \nL 238.789743 95.71316 \nL 236.09103 91.706303 \nL 230.873815 89.871198 \nL 223.171835 90.512129 \nL 213.279706 93.634813 \nL 201.737191 98.891181 \nL 189.245538 105.623043 \nL 152.824376 126.679756 \nL 142.522079 131.978757 \nL 133.421293 136.000992 \nL 125.490305 138.795393 \nL 118.63701 140.510034 \nL 112.74801 141.329264 \nL 107.712073 141.434167 \nL 103.431463 140.983607 \nL 99.825596 140.109103 \nL 96.830493 138.917075 \nL 94.396255 137.494105 \nL 92.483811 135.91256 \nL 91.061534 134.235384 \nL 90.102085 132.519498 \nL 89.579644 130.817867 \nL 89.467627 129.18028 \nL 89.737009 127.653154 \nL 90.355267 126.278692 \nL 91.28597 125.09359 \nL 92.488986 124.127774 \nL 93.921215 123.403267 \nL 95.537714 122.933495 \nL 97.293067 122.72314 \nL 99.142815 122.768506 \nL 101.044799 123.058467 \nL 102.960301 123.575726 \nL 104.854905 124.298371 \nL 106.69901 125.201467 \nL 108.46807 126.258585 \nL 110.142527 127.443144 \nL 111.707543 128.729501 \nL 113.152562 130.093737 \nL 114.470787 131.514209 \nL 115.6586 132.971817 \nL 117.641004 135.935193 \nL 119.113297 138.882074 \nL 120.106968 141.74531 \nL 120.659974 144.484135 \nL 120.808866 147.076088 \nL 120.583921 149.510166 \nL 120.006517 151.781459 \nL 119.088085 153.88694 \nL 117.830146 155.822144 \nL 116.225116 157.578224 \nL 114.257809 159.139143 \nL 111.907712 160.478588 \nL 109.152373 161.556507 \nL 107.61638 161.980147 \nL 105.972418 162.315116 \nL 104.21976 162.550722 \nL 102.358973 162.674647 \nL 100.392342 162.672868 \nL 98.324369 162.529609 \nL 96.162346 162.227386 \nL 93.916993 161.747151 \nL 91.603153 161.068589 \nL 89.24052 160.170618 \nL 86.854358 159.032137 \nL 84.476142 157.633093 \nL 82.144041 155.955884 \nL 79.903127 153.987169 \nL 77.805172 151.72002 \nL 75.907871 149.156379 \nL 74.273372 146.30965 \nL 72.965968 143.207179 \nL 72.048912 139.892236 \nL 71.580481 136.425072 \nL 71.609475 132.88258 \nL 72.170601 129.356148 \nL 73.280297 125.947482 \nL 74.933651 122.762538 \nL 77.10303 119.903996 \nL 79.738796 117.463238 \nL 82.772207 115.512886 \nL 86.120213 114.101094 \nL 89.691484 113.248472 \nL 93.392831 112.948076 \nL 97.135162 113.168283 \nL 100.838288 113.857887 \nL 104.434188 114.952413 \nL 107.868666 116.380662 \nL 111.10157 118.070546 \nL 114.105925 119.953722 \nL 116.866355 121.968746 \nL 119.377167 124.06285 \nL 121.64035 126.192515 \nL 123.663699 128.3232 \nL 125.459155 130.428512 \nL 127.041408 132.48911 \nL 129.632254 136.426894 \nL 131.571563 140.078916 \nL 132.988792 143.43329 \nL 133.997814 146.502744 \nL 134.693245 149.311472 \nL 135.150313 151.887561 \nL 135.510731 155.376054 \nL 135.594157 158.487932 \nL 135.476745 161.292854 \nL 135.193552 163.846503 \nL 134.749693 166.19346 \nL 134.126733 168.370382 \nL 133.28506 170.408581 \nL 132.162878 172.335639 \nL 131.216764 173.57066 \nL 130.073785 174.773038 \nL 128.692544 175.947127 \nL 127.022657 177.094613 \nL 125.003217 178.212759 \nL 122.561241 179.291574 \nL 119.610417 180.309353 \nL 116.050727 181.2258 \nL 111.77009 181.971603 \nL 109.322359 182.247266 \nL 106.650054 182.433087 \nL 103.739539 182.504373 \nL 100.579107 182.430576 \nL 97.160261 182.174261 \nL 93.479395 181.690058 \nL 89.540006 180.92369 \nL 85.355496 179.81125 \nL 80.952644 178.279001 \nL 76.375738 176.244072 \nL 71.691248 173.616597 \nL 66.992717 170.303976 \nL 62.405272 166.218028 \nL 58.088705 161.285759 \nL 54.237656 155.464184 \nL 51.077011 148.758771 \nL 48.850504 141.243828 \nL 47.801134 133.081125 \nL 48.143431 124.531094 \nL 50.030402 115.949717 \nL 53.52109 107.765125 \nL 58.557322 100.432215 \nL 64.95812 94.370789 \nL 72.436648 89.900467 \nL 80.637638 87.189986 \nL 89.186249 86.235822 \nL 97.735554 86.875896 \nL 106.001411 88.832149 \nL 113.779224 91.767414 \nL 120.943634 95.340176 \nL 127.436628 99.245558 \nL 133.250631 103.23804 \nL 138.411664 107.137749 \nL 142.965475 110.825383 \nL 150.475862 117.323027 \nL 166.805843 132.018556 \nL 168.993314 133.705742 \nL 170.813937 134.899045 \nL 172.378098 135.696646 \nL 173.761727 136.174133 \nL 175.013177 136.390855 \nL 176.158871 136.395215 \nL 177.207991 136.228842 \nL 178.588967 135.741729 \nL 179.690449 135.078538 \nL 180.438813 134.361456 \nL 180.763446 133.70987 \nL 180.7214 133.365477 \nL 180.469144 133.123708 \nL 180.015893 133.003012 \nL 179.006935 133.068554 \nL 177.705264 133.424257 \nL 176.256321 134.028633 \nL 174.364335 135.102623 \nL 173.157386 136.006682 \nL 172.252834 136.909686 \nL 171.721179 137.74292 \nL 171.593408 138.22963 \nL 171.652006 138.642551 \nL 171.895516 138.967166 \nL 172.31788 139.190352 \nL 172.90867 139.300559 \nL 174.076985 139.233804 \nL 175.519812 138.871502 \nL 177.140377 138.213141 \nL 178.812494 137.286156 \nL 180.381568 136.153567 \nL 181.673062 134.91776 \nL 182.292428 134.10328 \nL 182.663634 133.349701 \nL 182.750783 132.703407 \nL 182.532976 132.206563 \nL 182.007996 131.892547 \nL 181.194166 131.782169 \nL 180.129804 131.881449 \nL 178.87018 132.181529 \nL 176.763 132.957958 \nL 174.611597 134.02708 \nL 172.642043 135.264913 \nL 171.032849 136.555294 \nL 169.903644 137.800549 \nL 169.451498 138.565744 \nL 169.2506 139.254941 \nL 169.302424 139.849438 \nL 169.603201 140.331513 \nL 170.144912 140.68412 \nL 170.915712 140.89092 \nL 171.899787 140.936687 \nL 173.076683 140.808081 \nL 174.420176 140.494833 \nL 175.896853 139.991331 \nL 178.266692 138.883957 \nL 179.869797 137.929448 \nL 181.413451 136.832354 \nL 182.820004 135.634346 \nL 184.005592 134.391482 \nL 184.885724 133.172534 \nL 185.383186 132.054651 \nL 185.437561 131.116225 \nL 185.28671 130.736887 \nL 185.014888 130.42763 \nL 184.623249 130.194405 \nL 184.115348 130.041523 \nL 182.776786 129.985049 \nL 181.072605 130.25621 \nL 179.103917 130.825651 \nL 176.987612 131.643315 \nL 174.842969 132.647935 \nL 171.808321 134.369003 \nL 170.033026 135.578661 \nL 168.528067 136.786492 \nL 167.331509 137.958985 \nL 166.463954 139.069955 \nL 165.932839 140.097881 \nL 165.736605 141.023511 \nL 165.86818 141.828021 \nL 166.31747 142.491892 \nL 167.072801 142.99438 \nL 168.121316 143.313487 \nL 169.4484 143.426402 \nL 171.036193 143.310408 \nL 172.861284 142.944377 \nL 174.891657 142.310943 \nL 177.083092 141.399605 \nL 179.37533 140.210798 \nL 181.688648 138.760846 \nL 183.921737 137.087361 \nL 185.952228 135.254073 \nL 187.641411 133.353431 \nL 188.844494 131.504745 \nL 189.220734 130.642606 \nL 189.42688 129.84579 \nL 189.45114 129.131777 \nL 189.28507 128.516854 \nL 188.924163 128.01535 \nL 188.368343 127.638918 \nL 187.622237 127.395915 \nL 186.695254 127.290945 \nL 185.601373 127.324635 \nL 182.988893 127.790918 \nL 179.9663 128.726882 \nL 176.741485 130.025598 \nL 173.518379 131.56604 \nL 170.472318 133.235944 \nL 167.735955 134.946016 \nL 165.396137 136.633996 \nL 163.498972 138.261051 \nL 162.059198 139.80454 \nL 161.070527 141.250486 \nL 160.514907 142.587658 \nL 160.369725 143.803705 \nL 160.6128 144.88309 \nL 161.225358 145.806217 \nL 162.193356 146.549225 \nL 163.50744 147.08409 \nL 165.161755 147.378904 \nL 167.151674 147.398377 \nL 169.470409 147.104757 \nL 172.104344 146.459592 \nL 175.026952 145.426827 \nL 178.191239 143.977938 \nL 181.520959 142.099659 \nL 184.90152 139.804774 \nL 188.17249 137.14544 \nL 191.125023 134.227033 \nL 192.404802 132.720793 \nL 193.50881 131.218089 \nL 194.402804 129.749717 \nL 195.053594 128.349306 \nL 195.430662 127.05215 \nL 195.507943 125.893631 \nL 195.265662 124.907348 \nL 194.692054 124.12303 \nL 193.784783 123.564461 \nL 192.551874 123.247652 \nL 191.011982 123.179471 \nL 189.193912 123.356998 \nL 187.135366 123.767752 \nL 184.881034 124.390712 \nL 182.480177 125.198138 \nL 177.443061 127.23588 \nL 172.412493 129.615113 \nL 167.704954 132.106326 \nL 163.533958 134.553225 \nL 160.010992 136.875126 \nL 157.166091 139.047582 \nL 154.974818 141.077325 \nL 153.382889 142.981745 \nL 152.324834 144.776349 \nL 151.736412 146.469075 \nL 151.561923 148.059052 \nL 151.757871 149.537484 \nL 152.294278 150.889073 \nL 153.154602 152.093213 \nL 154.334872 153.12455 \nL 155.842402 153.952879 \nL 157.694185 154.542453 \nL 159.914902 154.850879 \nL 162.534243 154.827838 \nL 165.583067 154.413993 \nL 169.087682 153.5407 \nL 173.06131 152.131522 \nL 177.491582 150.107071 \nL 179.862916 148.840915 \nL 182.323093 147.395468 \nL 184.854725 145.766013 \nL 187.434652 143.951266 \nL 190.03309 141.954603 \nL 192.612862 139.785457 \nL 195.128812 137.460843 \nL 197.527568 135.00686 \nL 199.747774 132.460079 \nL 201.721046 129.868479 \nL 203.373788 127.29173 \nL 204.630065 124.800379 \nL 205.415602 122.473676 \nL 205.662803 120.395736 \nL 205.316535 118.650034 \nL 204.340118 117.312488 \nL 202.720732 116.443845 \nL 200.473337 116.082408 \nL 197.642174 116.238515 \nL 194.299256 116.891995 \nL 190.53972 117.993459 \nL 186.474534 119.469544 \nL 182.221658 121.231227 \nL 173.606555 125.23624 \nL 165.470662 129.340879 \nL 155.163344 134.828122 \nL 149.774417 137.884267 \nL 145.506322 140.535401 \nL 142.201943 142.902289 \nL 139.678374 145.093049 \nL 137.758477 147.184051 \nL 136.285564 149.219942 \nL 135.128075 151.221263 \nL 133.754869 154.167372 \nL 130.977072 160.693459 \nL 129.552341 163.296235 \nL 128.420085 164.958326 \nL 127.093488 166.559254 \nL 125.527107 168.09547 \nL 123.669997 169.560401 \nL 121.46429 170.941954 \nL 118.844309 172.21901 \nL 115.736623 173.356408 \nL 112.061758 174.297883 \nL 109.986198 174.669445 \nL 107.738842 174.956253 \nL 105.31094 175.140444 \nL 102.695269 175.200419 \nL 99.88695 175.110295 \nL 96.884491 174.839369 \nL 93.691102 174.351645 \nL 90.316324 173.605526 \nL 86.777987 172.553804 \nL 83.104489 171.144105 \nL 79.337336 169.320067 \nL 75.533806 167.023517 \nL 71.769434 164.197988 \nL 68.139959 160.79391 \nL 64.762051 156.775657 \nL 61.772105 152.130459 \nL 59.322176 146.878638 \nL 57.572271 141.084067 \nL 56.678575 134.862884 \nL 56.777997 128.387812 \nL 57.970474 121.885111 \nL 60.301869 115.621883 \nL 63.751121 109.883094 \nL 68.225423 104.940648 \nL 73.56581 101.019756 \nL 79.563132 98.269889 \nL 85.981416 96.747267 \nL 92.583697 96.413079 \nL 99.154848 97.147052 \nL 105.517521 98.772036 \nL 111.539661 101.082836 \nL 117.134431 103.872811 \nL 122.254877 106.953927 \nL 126.88593 110.168614 \nL 131.035957 113.394101 \nL 134.729183 116.541281 \nL 137.999587 119.550262 \nL 143.430791 125.025361 \nL 147.655709 129.708828 \nL 158.009121 141.641288 \nL 159.965941 143.304712 \nL 161.938541 144.545293 \nL 164.009673 145.38611 \nL 166.240091 145.836204 \nL 168.670809 145.893277 \nL 171.323362 145.546949 \nL 174.197911 144.782971 \nL 177.26929 143.588922 \nL 180.481321 141.961966 \nL 183.74024 139.918993 \nL 186.908975 137.508851 \nL 189.805042 134.825114 \nL 191.082506 133.424682 \nL 192.206032 132.015895 \nL 193.144428 130.626 \nL 193.866988 129.285009 \nL 194.344849 128.024787 \nL 194.55253 126.877819 \nL 194.469531 125.875663 \nL 194.081918 125.047209 \nL 193.383697 124.416844 \nL 192.377833 124.002751 \nL 191.07676 123.815517 \nL 189.502284 123.857278 \nL 187.684805 124.12152 \nL 185.661939 124.593596 \nL 183.476605 125.252001 \nL 178.803351 127.018224 \nL 174.029645 129.18372 \nL 169.471152 131.526712 \nL 165.357556 133.8816 \nL 161.824612 136.150435 \nL 158.927274 138.291514 \nL 156.662315 140.2985 \nL 154.991371 142.180796 \nL 153.859768 143.949966 \nL 153.209835 145.612557 \nL 152.989311 147.167502 \nL 153.155968 148.606138 \nL 153.679661 149.91313 \nL 154.54273 151.067482 \nL 155.7394 152.043072 \nL 157.274567 152.808658 \nL 159.162083 153.327368 \nL 161.422492 153.555832 \nL 164.079926 153.443315 \nL 167.157676 152.931182 \nL 170.671776 151.953464 \nL 174.621709 150.439569 \nL 178.977364 148.320715 \nL 181.285633 147.016297 \nL 183.661605 145.542233 \nL 186.084777 143.897248 \nL 188.528922 142.084042 \nL 190.961431 140.110457 \nL 193.342816 137.990738 \nL 195.626457 135.746805 \nL 197.758765 133.409429 \nL 199.679885 131.019073 \nL 201.325115 128.626238 \nL 202.627145 126.290973 \nL 203.51924 124.081328 \nL 203.939267 122.070498 \nL 203.834435 120.332607 \nL 203.166321 118.937281 \nL 201.915638 117.94344 \nL 200.08602 117.393099 \nL 197.706088 117.306161 \nL 194.829219 117.677252 \nL 191.530723 118.475448 \nL 187.902687 119.647146 \nL 184.047088 121.121829 \nL 180.068209 122.819691 \nL 172.12742 126.567385 \nL 164.724886 130.346928 \nL 158.253976 133.830589 \nL 152.868758 136.907368 \nL 148.551844 139.608527 \nL 145.18879 142.025125 \nL 142.624853 144.252265 \nL 140.700256 146.363433 \nL 139.268732 148.405042 \nL 138.205275 150.400679 \nL 137.407653 152.358248 \nL 136.537064 155.219444 \nL 135.498878 159.740621 \nL 134.499749 163.895202 \nL 133.76084 166.207648 \nL 132.829485 168.395268 \nL 131.625373 170.472307 \nL 130.623368 171.803312 \nL 129.420941 173.096198 \nL 127.975214 174.353543 \nL 126.234815 175.575121 \nL 124.138349 176.755867 \nL 121.612996 177.882751 \nL 118.573565 178.929997 \nL 114.922673 179.851831 \nL 110.553274 180.571712 \nL 108.064637 180.819894 \nL 105.355744 180.966838 \nL 102.41498 180.98647 \nL 99.233189 180.846844 \nL 95.805036 180.50922 \nL 92.130787 179.927162 \nL 88.2186 179.045803 \nL 84.087352 177.801454 \nL 79.770074 176.121839 \nL 75.317908 173.927377 \nL 70.804421 171.134009 \nL 66.329828 167.658243 \nL 62.024512 163.425016 \nL 58.050662 158.378941 \nL 54.600659 152.498986 \nL 51.890482 145.815759 \nL 50.146567 138.429252 \nL 49.585359 130.523142 \nL 50.38648 122.37024 \nL 52.662981 114.323308 \nL 56.434706 106.787271 \nL 61.612349 100.173357 \nL 67.998714 94.84234 \nL 75.3096 91.04974 \nL 83.210594 88.907889 \nL 91.360827 88.375678 \nL 99.45275 89.277947 \nL 107.239436 91.34702 \nL 114.546084 94.273095 \nL 121.2676 97.750244 \nL 127.35727 101.509351 \nL 132.811853 105.335389 \nL 137.657167 109.071245 \nL 141.93628 112.612483 \nL 149.005521 118.897284 \nL 156.683796 126.179002 \nL 163.352826 132.505078 \nL 165.768175 134.575907 \nL 167.82422 136.092172 \nL 169.651036 137.148575 \nL 171.340299 137.816735 \nL 172.951883 138.151224 \nL 174.519135 138.195133 \nL 176.052984 137.984993 \nL 177.545225 137.555005 \nL 178.971329 136.940649 \nL 180.293283 136.181527 \nL 181.462888 135.323237 \nL 182.425908 134.417976 \nL 183.127325 133.523545 \nL 183.517536 132.700548 \nL 183.559084 132.007918 \nL 183.232953 131.497337 \nL 182.54334 131.207568 \nL 181.519677 131.160008 \nL 180.215268 131.356591 \nL 178.702539 131.780724 \nL 176.228348 132.772003 \nL 173.766823 134.062287 \nL 171.573036 135.504487 \nL 169.834617 136.970948 \nL 168.987873 137.911382 \nL 168.413607 138.793336 \nL 168.12003 139.595702 \nL 168.108026 140.299083 \nL 168.373183 140.884831 \nL 168.907196 141.334498 \nL 169.698548 141.629711 \nL 170.732466 141.752456 \nL 171.990182 141.685791 \nL 173.447592 141.415027 \nL 175.073402 140.929391 \nL 176.826985 140.224269 \nL 178.656213 139.303944 \nL 180.495738 138.184753 \nL 182.266339 136.89819 \nL 183.876074 135.493402 \nL 185.224089 134.038061 \nL 186.207671 132.616476 \nL 186.732587 131.323999 \nL 186.799022 130.756697 \nL 186.725779 130.257411 \nL 186.509162 129.836375 \nL 186.148298 129.502275 \nL 185.645314 129.261877 \nL 185.005422 129.119733 \nL 183.350708 129.136358 \nL 181.281993 129.540334 \nL 178.929558 130.285574 \nL 176.439173 131.302447 \nL 173.954262 132.51155 \nL 171.601242 133.836299 \nL 169.480531 135.211319 \nL 167.663555 136.585722 \nL 166.194646 137.922211 \nL 165.095864 139.193793 \nL 164.372962 140.379844 \nL 164.021139 141.462586 \nL 164.029808 142.424499 \nL 164.386058 143.246747 \nL 165.07676 143.908336 \nL 166.089414 144.385914 \nL 167.411839 144.654001 \nL 169.03081 144.685618 \nL 170.929703 144.453434 \nL 173.085172 143.931611 \nL 175.462915 143.098609 \nL 178.012711 141.941252 \nL 180.663139 140.460264 \nL 183.316793 138.677165 \nL 185.847371 136.641858 \nL 188.100633 134.439381 \nL 189.901551 132.19317 \nL 190.575611 131.102016 \nL 191.069723 130.061311 \nL 191.364461 129.093945 \nL 191.443447 128.22259 \nL 191.294341 127.468686 \nL 190.909762 126.851351 \nL 190.28802 126.38632 \nL 189.433617 126.084981 \nL 188.357419 125.953667 \nL 187.076456 125.993255 \nL 185.613353 126.199142 \nL 183.995406 126.561629 \nL 180.420248 127.696867 \nL 176.614298 129.253872 \nL 172.831782 131.07276 \nL 169.284499 133.011563 \nL 166.124654 134.964712 \nL 163.443532 136.865981 \nL 161.280934 138.680747 \nL 159.639325 140.394292 \nL 158.498096 142.001012 \nL 157.825477 143.496755 \nL 157.58727 144.8744 \nL 157.752561 146.121943 \nL 158.296975 147.221968 \nL 159.204053 148.151746 \nL 160.465242 148.883467 \nL 162.078834 149.384389 \nL 164.047944 149.616886 \nL 166.377476 149.538619 \nL 169.069868 149.103187 \nL 172.119255 148.261834 \nL 175.503655 146.966976 \nL 179.174937 145.178613 \nL 183.046656 142.874654 \nL 186.98089 140.066033 \nL 188.911327 138.489668 \nL 190.776703 136.816225 \nL 192.541225 135.065344 \nL 194.165258 133.262376 \nL 195.606074 131.438587 \nL 196.819032 129.630993 \nL 197.759212 127.881672 \nL 198.383496 126.236501 \nL 198.653044 124.743225 \nL 198.53601 123.448902 \nL 198.010259 122.396879 \nL 197.065854 121.623498 \nL 195.706897 121.154986 \nL 193.952474 121.004903 \nL 191.836439 121.172607 \nL 189.405935 121.64309 \nL 186.718765 122.388232 \nL 183.839863 123.369452 \nL 180.837312 124.541264 \nL 174.725835 127.264442 \nL 168.85424 130.202248 \nL 163.557407 133.095941 \nL 159.019547 135.808166 \nL 155.298508 138.300102 \nL 152.36586 140.590542 \nL 150.145179 142.719658 \nL 148.54098 144.726284 \nL 147.457452 146.637771 \nL 146.809044 148.468033 \nL 146.525454 150.219546 \nL 146.553176 151.886475 \nL 146.855139 153.457509 \nL 147.409462 154.917773 \nL 148.207951 156.249796 \nL 149.254677 157.433602 \nL 150.564782 158.44611 \nL 152.163528 159.259946 \nL 154.085475 159.841802 \nL 156.37357 160.150355 \nL 159.077783 160.133877 \nL 162.252725 159.72769 \nL 165.953393 158.851886 \nL 170.227793 157.410166 \nL 172.590355 156.4428 \nL 175.104708 155.291406 \nL 177.768295 153.940934 \nL 180.574464 152.376801 \nL 183.511333 150.585744 \nL 186.560482 148.556983 \nL 189.695533 146.283736 \nL 192.880613 143.765121 \nL 196.068867 141.008436 \nL 199.201144 138.031812 \nL 202.205096 134.867037 \nL 204.995008 131.562322 \nL 207.472732 128.184579 \nL 209.530168 124.820604 \nL 211.053678 121.576417 \nL 211.93069 118.57396 \nL 212.058481 115.944494 \nL 211.35462 113.818367 \nL 209.767954 112.311783 \nL 207.288474 111.51199 \nL 203.953886 111.463492 \nL 199.850976 112.158537 \nL 195.110519 113.534706 \nL 189.895945 115.481238 \nL 184.38754 117.853311 \nL 178.765169 120.491347 \nL 167.806971 125.969393 \nL 146.206126 136.912545 \nL 137.886344 141.137708 \nL 133.865041 143.385272 \nL 130.741456 145.400107 \nL 128.26455 147.300275 \nL 126.221052 149.147815 \nL 123.594684 151.863667 \nL 120.239068 155.339923 \nL 118.406483 156.967968 \nL 116.370783 158.484076 \nL 114.070259 159.852414 \nL 111.451471 161.028934 \nL 108.469683 161.95769 \nL 105.091934 162.566393 \nL 103.248975 162.722497 \nL 101.303383 162.761707 \nL 99.257849 162.668431 \nL 97.117756 162.425413 \nL 94.891774 162.013822 \nL 92.59251 161.413471 \nL 90.237217 160.603218 \nL 87.848508 159.561603 \nL 85.45503 158.267761 \nL 83.092014 156.702687 \nL 80.801606 154.85088 \nL 78.632849 152.702351 \nL 76.641151 150.254988 \nL 74.887111 147.517113 \nL 73.434553 144.510056 \nL 72.347691 141.270392 \nL 71.687465 137.851452 \nL 71.507219 134.323607 \nL 71.848038 130.772897 \nL 72.734311 127.297675 \nL 74.170114 124.003266 \nL 76.137051 120.99491 \nL 78.594101 118.369808 \nL 81.479644 116.209235 \nL 84.715565 114.571964 \nL 88.212893 113.490046 \nL 91.878194 112.967518 \nL 95.619832 112.982161 \nL 99.35333 113.489845 \nL 103.00529 114.430483 \nL 106.515701 115.734636 \nL 109.838707 117.329735 \nL 112.942127 119.145273 \nL 115.806105 121.116586 \nL 118.421293 123.187139 \nL 120.786846 125.309579 \nL 122.90847 127.445754 \nL 124.796667 129.566071 \nL 126.465219 131.648467 \nL 127.92995 133.677233 \nL 130.315778 137.53572 \nL 132.089595 141.100417 \nL 133.37721 144.36872 \nL 134.287201 147.357979 \nL 134.908535 150.09424 \nL 135.447602 153.786233 \nL 135.657922 157.06303 \nL 135.640904 160.001392 \nL 135.450099 162.663182 \nL 135.104803 165.097648 \nL 134.598731 167.344641 \nL 133.904323 169.437556 \nL 132.973442 171.405534 \nL 132.187464 172.661067 \nL 131.237675 173.879558 \nL 130.089918 175.066902 \nL 128.702374 176.227402 \nL 127.024152 177.362697 \nL 124.993724 178.469962 \nL 122.537357 179.539044 \nL 119.567827 180.547929 \nL 115.98405 181.45574 \nL 111.672759 182.192133 \nL 109.206861 182.462289 \nL 106.514316 182.641668 \nL 103.581386 182.705177 \nL 100.396318 182.621758 \nL 96.950643 182.353348 \nL 93.240906 181.853806 \nL 89.270924 181.067934 \nL 85.054649 179.930751 \nL 80.619722 178.367312 \nL 76.011687 176.293452 \nL 71.298756 173.618033 \nL 66.576779 170.247364 \nL 61.973788 166.092617 \nL 57.653022 161.080956 \nL 53.812952 155.170786 \nL 50.682288 148.370664 \nL 48.508027 140.760041 \nL 47.535036 132.507969 \nL 47.977496 123.883883 \nL 49.985123 115.253368 \nL 53.6105 107.053 \nL 58.786343 99.742884 \nL 65.321269 93.743007 \nL 72.91862 89.36744 \nL 81.215737 86.774424 \nL 89.834006 85.947173 \nL 98.426525 86.710368 \nL 106.712212 88.775241 \nL 114.491295 91.797853 \nL 121.643721 95.434071 \nL 128.116333 99.379761 \nL 133.905439 103.392304 \nL 139.03989 107.295733 \nL 143.567293 110.974746 \nL 151.029243 117.431853 \nL 167.226233 131.909499 \nL 169.383325 133.554675 \nL 171.169365 134.714258 \nL 172.692815 135.487211 \nL 174.02829 135.949827 \nL 175.223489 136.162094 \nL 176.304909 136.172918 \nL 177.732118 135.901846 \nL 178.908146 135.397033 \nL 179.782041 134.776782 \nL 180.291784 134.155322 \nL 180.403728 133.793145 \nL 180.323961 133.504931 \nL 180.053879 133.312573 \nL 179.604586 133.231282 \nL 178.642762 133.33214 \nL 177.432244 133.691741 \nL 175.663454 134.50151 \nL 174.018532 135.548159 \nL 173.036098 136.385889 \nL 172.364734 137.192643 \nL 172.05631 137.90745 \nL 172.064553 138.306199 \nL 172.244861 138.626085 \nL 172.592832 138.854458 \nL 173.099703 138.980251 \nL 174.128172 138.957288 \nL 175.420704 138.663778 \nL 176.889717 138.097986 \nL 178.421356 137.282961 \nL 179.876749 136.272942 \nL 181.099278 135.156579 \nL 181.930607 134.053495 \nL 182.198904 133.393162 \nL 182.204033 132.840201 \nL 181.932116 132.430128 \nL 181.386252 132.189873 \nL 180.587526 132.134889 \nL 179.573983 132.267693 \nL 177.76715 132.793934 \nL 175.804532 133.641808 \nL 173.901045 134.70633 \nL 172.243968 135.877239 \nL 170.973392 137.054661 \nL 170.178036 138.154325 \nL 169.934902 138.80889 \nL 169.92698 139.378732 \nL 170.15258 139.846557 \nL 170.605372 140.196019 \nL 171.274871 140.411738 \nL 172.146461 140.479616 \nL 173.200948 140.387499 \nL 175.070047 139.930294 \nL 177.182029 139.082143 \nL 179.383747 137.866955 \nL 181.476532 136.358021 \nL 182.694955 135.252098 \nL 183.684332 134.128039 \nL 184.371639 133.049848 \nL 184.693607 132.086418 \nL 184.604882 131.304796 \nL 184.399153 131.000654 \nL 184.085651 130.76222 \nL 183.146953 130.498441 \nL 181.832109 130.530267 \nL 180.213412 130.849835 \nL 178.384482 131.427222 \nL 176.449776 132.216577 \nL 173.575158 133.679735 \nL 171.000084 135.319385 \nL 168.943453 136.986726 \nL 167.926451 138.057823 \nL 167.216155 139.066579 \nL 166.819574 139.991679 \nL 166.735797 140.813628 \nL 166.958741 141.513388 \nL 167.479071 142.071537 \nL 168.285193 142.467962 \nL 169.363355 142.682005 \nL 170.69689 142.693076 \nL 172.264664 142.481748 \nL 174.038841 142.031435 \nL 175.982099 141.330739 \nL 178.044549 140.376595 \nL 180.160785 139.178103 \nL 182.247763 137.760899 \nL 184.204389 136.171294 \nL 185.914043 134.479204 \nL 187.251153 132.778207 \nL 188.092524 131.181106 \nL 188.293248 130.459632 \nL 188.332982 129.809721 \nL 188.204341 129.245436 \nL 187.903246 128.77925 \nL 187.429314 128.421473 \nL 186.786098 128.179749 \nL 185.98115 128.058685 \nL 185.025905 128.059625 \nL 182.727511 128.41668 \nL 180.043306 129.200471 \nL 177.151468 130.325499 \nL 174.231276 131.690482 \nL 171.441912 133.197109 \nL 168.909044 134.762902 \nL 166.720188 136.32638 \nL 164.927214 137.845724 \nL 163.553112 139.293796 \nL 162.600294 140.652226 \nL 162.058511 141.90631 \nL 161.911337 143.041401 \nL 162.140856 144.040759 \nL 162.730607 144.884476 \nL 163.666974 145.54915 \nL 164.939259 146.007922 \nL 166.538585 146.230879 \nL 168.455731 146.185708 \nL 170.677849 145.838962 \nL 173.184045 145.158171 \nL 175.939746 144.115234 \nL 178.890002 142.691659 \nL 181.95216 140.885972 \nL 185.009009 138.72328 \nL 187.904315 136.266187 \nL 190.443751 133.624708 \nL 191.511082 132.283552 \nL 192.404865 130.961112 \nL 193.096555 129.684884 \nL 193.559373 128.484041 \nL 193.769664 127.388328 \nL 193.708335 126.426683 \nL 193.36225 125.625694 \nL 192.725451 125.007987 \nL 191.800094 124.590711 \nL 190.596913 124.38428 \nL 189.135179 124.391589 \nL 187.442057 124.607769 \nL 185.551432 125.020607 \nL 183.502269 125.611518 \nL 179.097805 127.23076 \nL 174.566843 129.252531 \nL 170.208573 131.471104 \nL 166.247247 133.727046 \nL 162.821894 135.920541 \nL 159.995798 138.003764 \nL 157.775833 139.963368 \nL 156.13334 141.802784 \nL 155.021864 143.529311 \nL 154.390143 145.146744 \nL 154.190589 146.652334 \nL 154.384154 148.03628 \nL 154.942655 149.282319 \nL 155.849382 150.368475 \nL 157.098608 151.267501 \nL 158.694363 151.946891 \nL 160.648574 152.368456 \nL 162.978495 152.487722 \nL 165.70312 152.253426 \nL 168.838136 151.607635 \nL 172.388687 150.487263 \nL 176.33928 148.828172 \nL 180.640108 146.573414 \nL 182.892715 145.210198 \nL 185.189746 143.687552 \nL 187.507206 142.008032 \nL 189.81545 140.178755 \nL 192.078728 138.212472 \nL 194.254996 136.128668 \nL 196.296042 133.954552 \nL 198.14807 131.72581 \nL 199.752898 129.486917 \nL 201.049842 127.290783 \nL 201.978366 125.197528 \nL 202.481495 123.272181 \nL 202.509811 121.581268 \nL 202.025767 120.188321 \nL 201.007876 119.148703 \nL 199.454175 118.504288 \nL 197.384387 118.27878 \nL 194.840255 118.474521 \nL 191.883735 119.071557 \nL 188.593157 120.029249 \nL 185.057718 121.290435 \nL 181.371122 122.787388 \nL 173.904388 126.20556 \nL 166.81585 129.77544 \nL 160.51841 133.15735 \nL 155.205843 136.204797 \nL 150.902511 138.91268 \nL 147.528488 141.346047 \nL 144.954099 143.585664 \nL 143.036488 145.699159 \nL 141.640469 147.731777 \nL 140.648448 149.707858 \nL 139.963678 151.636324 \nL 139.509814 153.516531 \nL 139.138992 156.233782 \nL 139.025594 158.805935 \nL 139.145379 161.974676 \nL 139.50621 164.817403 \nL 139.932168 166.725023 \nL 140.513948 168.433999 \nL 141.290876 169.936237 \nL 141.9452 170.816233 \nL 142.734538 171.591632 \nL 143.686987 172.252994 \nL 144.836931 172.787065 \nL 146.226202 173.175481 \nL 147.905399 173.393024 \nL 149.935293 173.40528 \nL 152.388139 173.165527 \nL 155.348574 172.610638 \nL 158.913458 171.655901 \nL 163.189539 170.188831 \nL 168.286965 168.062654 \nL 171.175849 166.69585 \nL 174.30542 165.091367 \nL 177.682213 163.219961 \nL 181.307821 161.050768 \nL 185.17689 158.552322 \nL 189.274599 155.694224 \nL 193.573619 152.449599 \nL 198.03054 148.798589 \nL 202.581867 144.733104 \nL 207.139839 140.262911 \nL 211.588504 135.423076 \nL 215.780771 130.282344 \nL 219.537574 124.951611 \nL 222.650553 119.590818 \nL 224.889948 114.411776 \nL 226.019349 109.673609 \nL 225.8182 105.667289 \nL 224.111218 102.686766 \nL 220.801303 100.987284 \nL 215.899182 100.736675 \nL 209.540695 101.971159 \nL 201.98327 104.571074 \nL 193.577907 108.269026 \nL 184.721344 112.693111 \nL 151.528434 130.237969 \nL 144.78929 133.414789 \nL 138.797373 135.975409 \nL 133.520979 137.97322 \nL 128.904601 139.488696 \nL 124.881916 140.610108 \nL 121.384257 141.421329 \nL 115.704953 142.393185 \nL 111.405435 142.837737 \nL 106.773527 143.043232 \nL 102.735993 142.981269 \nL 100.084755 142.722413 \nL 98.634715 142.394567 \nL 97.512151 141.939159 \nL 96.672314 141.362662 \nL 96.107572 140.694052 \nL 95.824327 139.983317 \nL 95.825427 139.295599 \nL 96.097908 138.702026 \nL 96.606645 138.268624 \nL 97.294072 138.045673 \nL 98.085327 138.059869 \nL 98.896891 138.311043 \nL 99.646266 138.773698 \nL 100.260457 139.40219 \nL 100.681924 140.13764 \nL 100.871731 140.914727 \nL 100.810468 141.667193 \nL 100.497951 142.331806 \nL 99.952497 142.851108 \nL 99.210364 143.17572 \nL 98.325251 143.266978 \nL 97.367393 143.100504 \nL 96.421234 142.670809 \nL 95.580565 141.996427 \nL 94.940163 141.124038 \nL 94.584022 140.129491 \nL 94.535289 139.447533 \nL 94.648914 138.789483 \nL 94.925065 138.189762 \nL 95.354736 137.680943 \nL 95.920005 137.291233 \nL 96.595139 137.042285 \nL 97.348385 136.947655 \nL 98.144222 137.012067 \nL 98.945762 137.231554 \nL 100.080823 137.823989 \nL 101.040476 138.672533 \nL 101.740111 139.693018 \nL 102.122402 140.793625 \nL 102.184945 141.526715 \nL 102.089715 142.229125 \nL 101.838525 142.876602 \nL 101.437521 143.446478 \nL 100.897064 143.917758 \nL 100.231787 144.271273 \nL 99.460731 144.489933 \nL 98.607549 144.559222 \nL 97.700652 144.467938 \nL 96.773161 144.20922 \nL 95.862519 143.781828 \nL 95.009608 143.19155 \nL 94.257212 142.452576 \nL 93.647766 141.588554 \nL 93.220476 140.632965 \nL 93.00796 139.628528 \nL 93.032832 138.625332 \nL 93.304757 137.677663 \nL 93.818476 136.839785 \nL 94.553333 136.16114 \nL 95.474492 135.681802 \nL 96.535701 135.428905 \nL 97.683247 135.414682 \nL 98.860386 135.63635 \nL 100.011596 136.077699 \nL 101.086083 136.711868 \nL 102.040206 137.504671 \nL 102.838764 138.4179 \nL 103.455265 139.412106 \nL 103.871473 140.448634 \nL 104.076512 141.490887 \nL 104.065835 142.504867 \nL 103.840286 143.459245 \nL 103.405416 144.325048 \nL 102.771137 145.07524 \nL 101.951758 145.684315 \nL 100.966397 146.128091 \nL 99.839672 146.383814 \nL 98.602582 146.43074 \nL 97.293377 146.251254 \nL 95.958189 145.832699 \nL 94.651053 145.169785 \nL 93.432994 144.267553 \nL 92.369813 143.144488 \nL 91.528294 141.835195 \nL 90.970904 140.391916 \nL 90.749305 138.883909 \nL 90.897609 137.39406 \nL 91.4266 136.012495 \nL 92.320283 134.827768 \nL 93.53581 133.917107 \nL 95.007173 133.337677 \nL 96.652003 133.120738 \nL 98.380152 133.269915 \nL 100.102363 133.763611 \nL 101.737457 134.560503 \nL 103.21717 135.60656 \nL 104.488374 136.841948 \nL 105.513079 138.206667 \nL 106.266858 139.64438 \nL 106.736435 141.104433 \nL 106.917088 142.542377 \nL 106.810312 143.919411 \nL 106.422029 145.201232 \nL 105.761508 146.356572 \nL 104.841026 147.355734 \nL 103.676291 148.169321 \nL 102.287571 148.767308 \nL 100.701443 149.11867 \nL 98.953034 149.191787 \nL 97.088525 148.955852 \nL 95.167497 148.38361 \nL 93.264588 147.455605 \nL 91.469619 146.166002 \nL 89.885258 144.529516 \nL 89.206332 143.593175 \nL 88.621336 142.588492 \nL 88.143555 141.52597 \nL 87.785339 140.418328 \nL 87.557637 139.280388 \nL 87.469528 138.128877 \nL 87.527772 136.982095 \nL 87.736421 135.859453 \nL 88.0965 134.780907 \nL 88.605804 133.766312 \nL 89.25883 132.83471 \nL 90.046869 132.003644 \nL 90.958223 131.288484 \nL 91.978574 130.701879 \nL 93.091479 130.253325 \nL 94.278922 129.94891 \nL 95.521933 129.79123 \nL 96.801213 129.779494 \nL 98.0977 129.909766 \nL 99.393105 130.175372 \nL 100.670329 130.567355 \nL 101.913806 131.075018 \nL 104.24613 132.388999 \nL 106.302149 134.016148 \nL 108.023206 135.856819 \nL 109.376055 137.821521 \nL 110.347073 139.834954 \nL 110.936162 141.836464 \nL 111.151296 143.778287 \nL 111.004285 145.622664 \nL 110.50786 147.338578 \nL 109.6741 148.898555 \nL 108.514071 150.275766 \nL 107.0386 151.44144 \nL 105.260123 152.362693 \nL 103.195606 153.000894 \nL 100.870541 153.310755 \nL 98.323978 153.2406 \nL 95.614345 152.734476 \nL 94.223435 152.300381 \nL 92.825487 151.736946 \nL 91.435799 151.038701 \nL 90.071752 150.201492 \nL 88.752782 149.222983 \nL 87.500232 148.103195 \nL 86.337075 146.845104 \nL 85.287487 145.45522 \nL 84.376244 143.944118 \nL 83.627954 142.326875 \nL 83.066134 140.623327 \nL 82.712162 138.858107 \nL 82.584159 137.060347 \nL 82.695877 135.263075 \nL 83.05569 133.502216 \nL 83.665776 131.815265 \nL 84.521612 130.2397 \nL 85.611811 128.81121 \nL 86.918388 127.561935 \nL 88.417433 126.518846 \nL 90.080153 125.702456 \nL 91.874177 125.12595 \nL 93.76504 124.794851 \nL 95.717669 124.707195 \nL 97.697807 124.854212 \nL 99.673217 125.221367 \nL 101.614641 125.789622 \nL 103.496451 126.536847 \nL 105.297021 127.439158 \nL 106.99883 128.472154 \nL 108.588342 129.611922 \nL 110.055727 130.835832 \nL 111.394475 132.12308 \nL 112.600936 133.455026 \nL 113.673845 134.815326 \nL 115.423053 137.567043 \nL 116.662495 140.291198 \nL 117.424341 142.929471 \nL 117.743595 145.444889 \nL 117.652126 147.814815 \nL 117.175147 150.025028 \nL 116.329559 152.064896 \nL 115.123693 153.923472 \nL 113.558125 155.586138 \nL 111.627433 157.031525 \nL 109.322968 158.228468 \nL 106.63688 159.132906 \nL 105.149854 159.457373 \nL 103.567822 159.684792 \nL 101.892928 159.804727 \nL 100.128855 159.805494 \nL 98.28123 159.674183 \nL 96.358068 159.396738 \nL 94.370247 158.958161 \nL 92.33203 158.342813 \nL 90.261557 157.534885 \nL 88.181324 156.519037 \nL 86.118575 155.281275 \nL 84.105532 153.810056 \nL 82.179424 152.097626 \nL 80.382183 150.141597 \nL 78.759736 147.946635 \nL 77.3608 145.526204 \nL 76.235144 142.904156 \nL 75.431282 140.115928 \nL 74.993686 137.209084 \nL 74.959695 134.242922 \nL 75.356365 131.286924 \nL 76.197604 128.417905 \nL 77.482039 125.715993 \nL 79.191892 123.259669 \nL 81.293219 121.120413 \nL 83.737526 119.357586 \nL 86.464665 118.014282 \nL 89.406691 117.114671 \nL 92.49216 116.663221 \nL 95.650374 116.6458 \nL 98.815108 117.032381 \nL 101.927469 117.78088 \nL 104.937749 118.841405 \nL 107.806276 120.160495 \nL 110.503409 121.684762 \nL 113.008885 123.363757 \nL 115.310741 125.151899 \nL 117.404015 127.0096 \nL 119.289396 128.903644 \nL 120.971936 130.807062 \nL 122.459868 132.698642 \nL 123.763615 134.562249 \nL 125.866262 138.161872 \nL 127.378864 141.55021 \nL 128.396876 144.708462 \nL 129.003797 147.639437 \nL 129.267367 150.357316 \nL 129.23862 152.881243 \nL 128.952497 155.231487 \nL 128.429155 157.427243 \nL 127.675425 159.485342 \nL 126.686129 161.41941 \nL 125.445086 163.239155 \nL 123.925822 164.949491 \nL 122.092039 166.549239 \nL 119.898042 168.029124 \nL 117.289426 169.368743 \nL 114.20455 170.532096 \nL 110.577609 171.461237 \nL 108.540544 171.811799 \nL 106.344606 172.067656 \nL 103.983844 172.21116 \nL 101.454153 172.221281 \nL 98.754087 172.073202 \nL 95.885853 171.737973 \nL 92.856543 171.182283 \nL 89.679605 170.36842 \nL 86.376546 169.25457 \nL 82.978834 167.795598 \nL 79.529916 165.944486 \nL 76.087172 163.654733 \nL 72.723561 160.88381 \nL 69.528547 157.597997 \nL 66.607839 153.778506 \nL 64.081322 149.428804 \nL 62.078588 144.582437 \nL 60.731639 139.310389 \nL 60.164683 133.726288 \nL 60.481641 127.987557 \nL 61.752688 122.290562 \nL 64.002115 116.858564 \nL 67.200045 111.922647 \nL 71.260524 107.69786 \nL 76.047197 104.358607 \nL 81.386178 102.018287 \nL 87.083851 100.717763 \nL 92.946073 100.425007 \nL 98.795158 101.045496 \nL 104.482029 102.440202 \nL 109.892408 104.446668 \nL 114.947563 106.898784 \nL 119.601051 109.6422 \nL 123.833203 112.544075 \nL 127.644929 115.497417 \nL 131.051861 118.421261 \nL 134.079382 121.25808 \nL 136.75874 123.969899 \nL 141.210768 128.939168 \nL 144.684955 133.264361 \nL 148.617829 138.610722 \nL 152.552787 143.926349 \nL 154.312521 145.931055 \nL 156.089417 147.550573 \nL 157.972562 148.80452 \nL 160.034654 149.698454 \nL 162.335275 150.224602 \nL 164.922438 150.362805 \nL 167.832037 150.081895 \nL 171.084856 149.341991 \nL 174.680674 148.098524 \nL 178.589127 146.309169 \nL 182.737322 143.945031 \nL 184.863293 142.546067 \nL 186.995064 141.007429 \nL 189.104999 139.337742 \nL 191.160304 137.550601 \nL 193.122994 135.665403 \nL 194.950161 133.708061 \nL 196.594645 131.711451 \nL 198.006194 129.715491 \nL 199.133173 127.766618 \nL 199.924862 125.916598 \nL 200.334297 124.220486 \nL 200.321496 122.733779 \nL 199.856865 121.508798 \nL 198.924381 120.590676 \nL 197.524185 120.013324 \nL 195.674109 119.795946 \nL 193.409801 119.940762 \nL 190.783246 120.432339 \nL 187.859779 121.238879 \nL 184.713848 122.315287 \nL 181.424111 123.607597 \nL 174.719634 126.610312 \nL 168.288072 129.823966 \nL 162.508094 132.947328 \nL 157.57836 135.830304 \nL 153.550078 138.44211 \nL 150.377185 140.81828 \nL 147.962203 143.015887 \nL 146.18938 145.086972 \nL 144.945159 147.067893 \nL 144.129048 148.978324 \nL 143.658213 150.824594 \nL 143.468361 152.604002 \nL 143.512687 154.30855 \nL 143.759997 155.92751 \nL 144.192676 157.448896 \nL 144.804874 158.860004 \nL 145.601071 160.147277 \nL 146.595089 161.295647 \nL 147.809528 162.287506 \nL 149.275549 163.101324 \nL 151.032904 163.709888 \nL 153.130028 164.07815 \nL 155.623918 164.160612 \nL 158.579391 163.898242 \nL 162.067005 163.215057 \nL 166.158579 162.014782 \nL 170.918629 160.1787 \nL 173.563971 158.979143 \nL 176.389299 157.566761 \nL 179.392328 155.922072 \nL 182.565585 154.026002 \nL 185.894846 151.86103 \nL 189.357357 149.412799 \nL 192.9198 146.672235 \nL 196.536153 143.638279 \nL 200.145555 140.32122 \nL 203.670429 136.746555 \nL 207.015255 132.959167 \nL 210.066479 129.027328 \nL 212.6942 125.045859 \nL 214.756296 121.137364 \nL 216.105668 117.450276 \nL 216.600878 114.152376 \nL 216.120002 111.418789 \nL 214.576481 109.414448 \nL 211.934737 108.272492 \nL 208.222373 108.072162 \nL 203.535319 108.821221 \nL 198.033362 110.448421 \nL 191.925463 112.80964 \nL 185.447107 115.707748 \nL 178.834502 118.921785 \nL 149.743535 133.649283 \nL 141.36795 137.52913 \nL 124.227326 145.191292 \nL 121.454173 146.737402 \nL 118.070344 148.938604 \nL 113.116051 152.314244 \nL 111.043345 153.482573 \nL 108.807917 154.483567 \nL 106.364838 155.26531 \nL 103.688889 155.768372 \nL 100.776462 155.924915 \nL 99.237353 155.849706 \nL 97.649812 155.658701 \nL 96.021694 155.341418 \nL 94.363335 154.88733 \nL 92.687783 154.286176 \nL 91.01101 153.528373 \nL 89.35207 152.605535 \nL 87.733161 151.511137 \nL 86.179553 150.241261 \nL 84.719363 148.795451 \nL 83.383104 147.177633 \nL 82.202975 145.397014 \nL 81.211895 143.468921 \nL 80.442253 141.415431 \nL 79.924408 139.265693 \nL 79.685025 137.055829 \nL 79.745329 134.828279 \nL 80.119457 132.630559 \nL 80.813047 130.513394 \nL 81.822265 128.52836 \nL 83.133407 126.725143 \nL 84.723173 125.148725 \nL 86.559627 123.83676 \nL 88.60377 122.817458 \nL 90.811599 122.108181 \nL 93.136391 121.714924 \nL 95.531035 121.632708 \nL 97.950164 121.846792 \nL 100.351915 122.334438 \nL 102.699251 123.067043 \nL 104.960756 124.012389 \nL 107.110989 125.13672 \nL 109.130408 126.406545 \nL 111.005027 127.790034 \nL 112.725831 129.258011 \nL 114.28809 130.784554 \nL 115.690623 132.347254 \nL 116.935076 133.92723 \nL 118.025237 135.508937 \nL 118.966443 137.079887 \nL 120.427944 140.152607 \nL 121.375094 143.092433 \nL 121.862561 145.872073 \nL 121.93766 148.480463 \nL 121.63686 150.915653 \nL 120.984365 153.179601 \nL 119.992003 155.274351 \nL 118.659931 157.199041 \nL 116.977896 158.947264 \nL 114.926997 160.50437 \nL 112.482126 161.844412 \nL 109.615473 162.926442 \nL 108.015778 163.352739 \nL 106.301722 163.690125 \nL 104.471806 163.927222 \nL 102.525857 164.050818 \nL 100.46549 164.045755 \nL 98.294657 163.894851 \nL 96.020287 163.578912 \nL 93.653004 163.076842 \nL 91.207928 162.365934 \nL 88.705525 161.422374 \nL 86.172459 160.222042 \nL 83.642379 158.741666 \nL 81.156547 156.960399 \nL 78.764157 154.861867 \nL 76.5222 152.436662 \nL 74.494664 149.68522 \nL 72.750905 146.620926 \nL 71.363015 143.273097 \nL 70.402155 139.689437 \nL 69.933899 135.937402 \nL 70.012926 132.10386 \nL 70.677545 128.29257 \nL 71.944752 124.619138 \nL 73.806689 121.203665 \nL 76.229194 118.161666 \nL 79.152941 115.594444 \nL 82.497258 113.580307 \nL 86.166141 112.168137 \nL 90.055604 111.374328 \nL 94.061307 111.183522 \nL 98.085365 111.552752 \nL 102.041583 112.418118 \nL 105.858743 113.702601 \nL 109.481939 115.323756 \nL 112.872288 117.200356 \nL 116.005483 119.25732 \nL 118.869674 121.428812 \nL 121.463098 123.659714 \nL 123.791751 125.905782 \nL 125.867274 128.132929 \nL 127.705165 130.31599 \nL 129.323314 132.437283 \nL 131.977258 136.452668 \nL 133.982839 140.135673 \nL 135.483258 143.486235 \nL 136.602806 146.525769 \nL 137.78764 150.568003 \nL 138.832379 155.152112 \nL 140.227883 161.489873 \nL 140.910554 163.682367 \nL 141.749993 165.597464 \nL 142.432817 166.722744 \nL 143.242806 167.724062 \nL 144.208693 168.594963 \nL 145.364299 169.324671 \nL 146.749801 169.897071 \nL 148.413032 170.289223 \nL 150.410779 170.469351 \nL 152.809908 170.39409 \nL 155.688019 170.004927 \nL 159.133066 169.223739 \nL 163.240895 167.947577 \nL 168.108999 166.043377 \nL 170.856111 164.804974 \nL 173.823683 163.344366 \nL 177.016896 161.635726 \nL 180.436419 159.651982 \nL 184.076666 157.365744 \nL 187.923643 154.750753 \nL 191.952351 151.78401 \nL 196.123778 148.448735 \nL 200.381577 144.738335 \nL 204.648583 140.661449 \nL 208.823596 136.24805 \nL 212.77897 131.556262 \nL 216.359891 126.679249 \nL 219.386424 121.750903 \nL 221.659673 116.948437 \nL 222.973295 112.489411 \nL 223.131084 108.620514 \nL 221.970244 105.596061 \nL 219.387997 103.64626 \nL 215.366761 102.938812 \nL 209.991332 103.541778 \nL 203.451226 105.398742 \nL 196.024156 108.326742 \nL 188.0422 112.041652 \nL 179.848261 116.20587 \nL 156.791192 128.336809 \nL 150.199041 131.59431 \nL 144.273518 134.33122 \nL 139.009098 136.567046 \nL 134.370593 138.355854 \nL 130.30603 139.767661 \nL 123.659513 141.745676 \nL 116.527381 143.460485 \nL 102.700932 146.406476 \nL 101.10174 146.524966 \nL 99.537428 146.476371 \nL 98.005393 146.235509 \nL 96.521498 145.783227 \nL 95.117217 145.108954 \nL 93.836557 144.213419 \nL 92.732305 143.111404 \nL 91.861208 141.834041 \nL 91.27802 140.429989 \nL 91.028736 138.964655 \nL 91.143729 137.516824 \nL 91.631931 136.172529 \nL 92.477274 135.016665 \nL 93.638382 134.123708 \nL 95.051793 133.549346 \nL 96.638244 133.324798 \nL 98.310706 133.454952 \nL 99.982566 133.920416 \nL 101.574558 134.682541 \nL 103.0195 135.689994 \nL 104.264609 136.885301 \nL 105.271664 138.210321 \nL 106.01564 139.610014 \nL 106.482506 141.034528 \nL 106.666776 142.439821 \nL 106.569288 143.787247 \nL 106.195474 145.04252 \nL 105.554302 146.174368 \nL 104.657931 147.153166 \nL 103.522088 147.949724 \nL 102.167119 148.53444 \nL 100.619649 148.876994 \nL 98.914687 148.94675 \nL 97.097959 148.714177 \nL 95.228089 148.153506 \nL 93.378051 147.246847 \nL 91.635171 145.989697 \nL 90.098738 144.397524 \nL 89.44095 143.487737 \nL 88.874472 142.512339 \nL 88.41202 141.481549 \nL 88.065394 140.407675 \nL 87.845042 139.305015 \nL 87.759611 138.189665 \nL 87.815532 137.079186 \nL 88.016645 135.992181 \nL 88.363911 134.947757 \nL 88.855223 133.964908 \nL 89.485338 133.061872 \nL 90.245961 132.255453 \nL 91.125943 131.560418 \nL 92.111642 130.988967 \nL 93.187361 130.550316 \nL 94.33589 130.250466 \nL 95.539066 130.092112 \nL 96.778371 130.074718 \nL 98.035469 130.194762 \nL 99.292711 130.446071 \nL 100.533541 130.820282 \nL 102.90707 131.895868 \nL 105.055341 133.329146 \nL 106.905972 135.022456 \nL 108.413148 136.883493 \nL 109.553019 138.831495 \nL 110.318007 140.799508 \nL 110.711233 142.733831 \nL 110.741846 144.591819 \nL 110.421553 146.338949 \nL 109.762445 147.945725 \nL 108.776057 149.384726 \nL 107.473576 150.627968 \nL 105.86713 151.644621 \nL 103.972117 152.399181 \nL 101.810579 152.850315 \nL 99.415584 152.950616 \nL 96.836455 152.64788 \nL 95.499098 152.32854 \nL 94.14445 151.888571 \nL 92.785708 151.322145 \nL 91.438017 150.624375 \nL 90.118484 149.791726 \nL 88.846125 148.822501 \nL 87.641711 147.717356 \nL 86.527469 146.479847 \nL 85.526651 145.11697 \nL 84.662945 143.639641 \nL 83.959717 142.063065 \nL 83.439143 140.40695 \nL 83.121196 138.695483 \nL 83.022608 136.957007 \nL 83.155847 135.223406 \nL 83.528188 133.529125 \nL 84.140987 131.909898 \nL 84.989237 130.401244 \nL 86.06147 129.036822 \nL 87.340041 127.846798 \nL 88.801779 126.856364 \nL 90.418984 126.084557 \nL 92.160664 125.54351 \nL 93.993907 125.238156 \nL 95.885281 125.166415 \nL 97.80214 125.319843 \nL 99.713753 125.684593 \nL 101.592188 126.242611 \nL 103.412929 126.972929 \nL 105.155219 127.852908 \nL 106.802157 128.85938 \nL 108.340607 129.969598 \nL 109.760939 131.161974 \nL 111.056665 132.416597 \nL 112.224027 133.715559 \nL 113.261545 135.043088 \nL 114.949885 137.731463 \nL 116.13932 140.39661 \nL 116.859083 142.980603 \nL 117.141479 145.445874 \nL 117.016131 147.768613 \nL 116.506567 149.933052 \nL 115.628636 151.926812 \nL 114.390277 153.73702 \nL 112.792416 155.346982 \nL 110.830832 156.733117 \nL 108.4991 157.861941 \nL 105.792845 158.687094 \nL 104.299897 158.96708 \nL 102.715729 159.14652 \nL 101.043396 159.214864 \nL 99.28761 159.160408 \nL 97.455144 158.970353 \nL 95.555267 158.630956 \nL 93.600207 158.127756 \nL 91.605621 157.445946 \nL 89.591042 156.570905 \nL 87.580282 155.488907 \nL 85.601727 154.188039 \nL 83.688435 152.659342 \nL 81.878019 150.898159 \nL 80.212162 148.905645 \nL 78.735759 146.690359 \nL 77.495538 144.269807 \nL 76.538204 141.671737 \nL 75.908096 138.934977 \nL 75.644466 136.109536 \nL 75.778577 133.255771 \nL 76.330892 130.44243 \nL 77.308686 127.74356 \nL 78.704446 125.234403 \nL 80.495335 122.986638 \nL 82.643908 121.063544 \nL 85.100064 119.515565 \nL 87.804086 118.376991 \nL 90.690352 117.664156 \nL 93.691322 117.375328 \nL 96.741314 117.492247 \nL 99.779696 117.983003 \nL 102.753224 118.805668 \nL 105.617499 119.912257 \nL 108.337499 121.252433 \nL 110.88742 122.776682 \nL 113.249961 124.438679 \nL 115.415274 126.196878 \nL 117.379763 128.015372 \nL 119.144841 129.864125 \nL 120.715762 131.718789 \nL 122.100572 133.560223 \nL 123.309199 135.373862 \nL 125.242691 138.878257 \nL 126.608301 142.181451 \nL 127.493811 145.266239 \nL 127.975148 148.135004 \nL 128.112969 150.800462 \nL 127.951798 153.27978 \nL 127.520562 155.59098 \nL 126.833755 157.750741 \nL 125.892725 159.773001 \nL 124.686864 161.667872 \nL 123.194565 163.440556 \nL 121.384 165.089939 \nL 119.213886 166.606579 \nL 116.63453 167.969731 \nL 113.589675 169.143068 \nL 110.019932 170.068692 \nL 108.020271 170.4127 \nL 105.869054 170.659161 \nL 103.561521 170.790897 \nL 101.094838 170.787577 \nL 98.468874 170.625385 \nL 95.687147 170.276758 \nL 92.757983 169.710244 \nL 89.695875 168.890567 \nL 86.523031 167.779021 \nL 83.271083 166.334312 \nL 79.982839 164.514049 \nL 76.713941 162.277062 \nL 73.534156 159.586708 \nL 70.527994 156.415316 \nL 67.794157 152.749752 \nL 65.44337 148.597857 \nL 63.594071 143.995213 \nL 62.365672 139.011261 \nL 61.869405 133.753367 \nL 62.197294 128.367246 \nL 63.410541 123.03215 \nL 65.529157 117.94996 \nL 68.525059 113.328489 \nL 72.320562 109.360849 \nL 76.793327 106.204378 \nL 81.787384 103.963147 \nL 87.12835 102.677837 \nL 92.640009 102.324991 \nL 98.159232 102.825334 \nL 103.546982 104.058709 \nL 108.694365 105.881997 \nL 113.524007 108.146323 \nL 117.987802 110.710928 \nL 122.062524 113.45238 \nL 125.744566 116.269193 \nL 129.044781 119.082696 \nL 131.983975 121.835328 \nL 134.589247 124.48759 \nL 138.921922 129.402002 \nL 142.297155 133.740654 \nL 146.087157 139.197321 \nL 150.613491 145.906693 \nL 152.221023 147.895575 \nL 153.872593 149.535645 \nL 155.649636 150.841455 \nL 157.621225 151.814575 \nL 159.847272 152.443742 \nL 162.380215 152.705005 \nL 165.264831 152.562092 \nL 168.535745 151.967332 \nL 172.212048 150.863925 \nL 176.288287 149.190749 \nL 180.72124 146.891374 \nL 183.043391 145.49414 \nL 185.412317 143.929476 \nL 187.80364 142.19987 \nL 190.18695 140.312525 \nL 192.525313 138.280528 \nL 194.775022 136.124066 \nL 196.885708 133.871527 \nL 198.800939 131.56034 \nL 200.459455 129.23738 \nL 201.797174 126.958622 \nL 202.750044 124.787861 \nL 203.257697 122.794255 \nL 203.267803 121.048596 \nL 202.740756 119.618432 \nL 201.654224 118.562397 \nL 200.006909 117.924371 \nL 197.820868 117.728386 \nL 195.14177 117.97522 \nL 192.036811 118.641482 \nL 188.590381 119.681626 \nL 184.897943 121.032669 \nL 181.05905 122.620951 \nL 173.320148 126.20591 \nL 166.019784 129.900566 \nL 159.573681 133.359557 \nL 154.164915 136.445911 \nL 149.801949 139.169126 \nL 146.389316 141.607044 \nL 143.784551 143.848996 \nL 141.83512 145.967271 \nL 140.398738 148.009176 \nL 139.352535 149.999714 \nL 138.59559 151.947954 \nL 137.832588 154.788506 \nL 137.348048 157.513815 \nL 136.743894 162.544493 \nL 136.087392 167.650612 \nL 135.555511 170.226966 \nL 135.016525 172.021454 \nL 134.306644 173.717694 \nL 133.365141 175.335487 \nL 132.110921 176.895497 \nL 131.048524 177.913287 \nL 129.758036 178.919173 \nL 128.189061 179.916225 \nL 126.280332 180.904106 \nL 123.957802 181.876516 \nL 121.13283 182.817107 \nL 117.700963 183.693045 \nL 113.542258 184.445017 \nL 108.525005 184.972103 \nL 105.652395 185.103114 \nL 102.516171 185.109601 \nL 99.10323 184.955977 \nL 95.404344 184.598381 \nL 91.416247 183.983379 \nL 87.144382 183.046786 \nL 82.606402 181.712809 \nL 77.836533 179.893903 \nL 72.890732 177.491868 \nL 67.8525 174.400916 \nL 62.838852 170.513626 \nL 58.005501 165.73085 \nL 53.549816 159.976445 \nL 49.709408 153.217126 \nL 46.753787 145.486543 \nL 44.966574 136.910419 \nL 44.617039 127.726915 \nL 45.922348 118.293822 \nL 49.006041 109.073524 \nL 53.862461 100.589964 \nL 60.338959 93.35968 \nL 68.144999 87.809949 \nL 76.889723 84.205716 \nL 86.139304 82.607751 \nL 95.478204 82.875084 \nL 104.557979 84.708885 \nL 113.123719 87.720972 \nL 121.017414 91.504918 \nL 128.164693 95.69194 \nL 134.553708 99.983532 \nL 140.213611 104.161894 \nL 145.196775 108.084584 \nL 153.386738 114.886161 \nL 166.286171 125.793503 \nL 171.750676 130.079747 \nL 177.006956 134.006477 \nL 176.949319 134.313051 \nL 176.558095 134.728032 \nL 175.081883 136.082924 \nL 174.799295 136.642412 \nL 174.89159 136.955836 \nL 175.152452 137.079742 \nL 175.726337 137.070602 \nL 176.696772 136.7685 \nL 177.738696 136.191062 \nL 178.580044 135.468427 \nL 178.932243 134.916122 \nL 178.945886 134.588692 \nL 178.728044 134.380058 \nL 178.291623 134.316871 \nL 177.440116 134.47333 \nL 176.419489 134.878643 \nL 175.18062 135.6247 \nL 174.42603 136.293361 \nL 174.019005 136.914244 \nL 173.984727 137.291654 \nL 174.191975 137.555605 \nL 174.629423 137.679328 \nL 175.26834 137.644552 \nL 176.352707 137.340474 \nL 177.561579 136.762771 \nL 178.703454 135.982476 \nL 179.568065 135.122759 \nL 179.917752 134.521917 \nL 179.945906 134.037699 \nL 179.773057 133.810678 \nL 179.449559 133.67658 \nL 178.710016 133.666039 \nL 177.732616 133.884846 \nL 176.237954 134.487356 \nL 174.775812 135.337235 \nL 173.597342 136.290245 \nL 173.014213 136.985544 \nL 172.744491 137.602396 \nL 172.810291 138.092135 \nL 173.040737 138.327114 \nL 173.651731 138.51622 \nL 174.546667 138.485746 \nL 175.667522 138.220767 \nL 176.934514 137.723138 \nL 178.246017 137.016549 \nL 179.481119 136.150841 \nL 180.507121 135.203356 \nL 181.19354 134.274811 \nL 181.407469 133.721927 \nL 181.399677 133.260246 \nL 181.160076 132.918269 \nL 180.692202 132.717617 \nL 180.01386 132.670941 \nL 178.673115 132.892552 \nL 177.080052 133.432507 \nL 175.411183 134.221726 \nL 173.84117 135.171517 \nL 172.518921 136.190307 \nL 171.554588 137.194048 \nL 171.017233 138.109711 \nL 170.913525 138.639775 \nL 171.016599 139.085855 \nL 171.323369 139.43256 \nL 171.826226 139.665748 \nL 172.513235 139.772752 \nL 173.851881 139.673888 \nL 175.490279 139.243669 \nL 177.321982 138.480003 \nL 179.206125 137.41268 \nL 180.967177 136.11336 \nL 182.404058 134.701105 \nL 183.080279 133.775408 \nL 183.467309 132.925485 \nL 183.523861 132.206015 \nL 183.227008 131.666069 \nL 182.57669 131.343366 \nL 181.597818 131.259619 \nL 180.339171 131.418094 \nL 178.869037 131.804073 \nL 176.44579 132.742159 \nL 174.014083 133.988212 \nL 171.827651 135.397116 \nL 170.076682 136.840867 \nL 169.212643 137.771364 \nL 168.615516 138.647073 \nL 168.294702 139.446596 \nL 168.252059 140.150395 \nL 168.483918 140.73982 \nL 168.982516 141.196543 \nL 169.736741 141.502394 \nL 170.732174 141.639595 \nL 171.950443 141.591431 \nL 173.367978 141.343358 \nL 174.954276 140.884604 \nL 176.669848 140.2103 \nL 178.464148 139.324101 \nL 180.273885 138.241205 \nL 182.022342 136.991379 \nL 183.620379 135.621377 \nL 184.96995 134.195922 \nL 185.970693 132.79606 \nL 186.529701 131.514056 \nL 186.619517 130.947009 \nL 186.573631 130.444406 \nL 186.388 130.016435 \nL 186.061264 129.671857 \nL 185.594951 129.417636 \nL 184.993573 129.258644 \nL 183.418259 129.234305 \nL 181.426668 129.591358 \nL 179.14305 130.288443 \nL 176.708609 131.260057 \nL 174.264214 132.429605 \nL 171.935772 133.721786 \nL 169.824834 135.071198 \nL 168.004993 136.426105 \nL 166.523173 137.748052 \nL 165.40396 139.008969 \nL 164.655274 140.187413 \nL 164.27397 141.265128 \nL 164.25059 142.22443 \nL 164.572867 143.046558 \nL 165.227927 143.710791 \nL 166.203231 144.194194 \nL 167.486382 144.471802 \nL 169.063885 144.51724 \nL 170.918907 144.30383 \nL 173.02811 143.806378 \nL 175.35759 143.003887 \nL 177.85811 141.88348 \nL 180.460027 140.445693 \nL 183.068699 138.711083 \nL 185.56166 136.727479 \nL 187.789465 134.576482 \nL 189.582399 132.376668 \nL 190.260616 131.304991 \nL 190.76503 130.280254 \nL 191.07657 129.324612 \nL 191.179031 128.460093 \nL 191.060016 127.707634 \nL 190.711823 127.086057 \nL 190.132184 126.611032 \nL 189.324751 126.294154 \nL 188.299313 126.142246 \nL 187.071643 126.156909 \nL 185.66299 126.334474 \nL 184.099258 126.666302 \nL 180.626555 127.737639 \nL 176.907995 129.233912 \nL 173.192561 131.000753 \nL 169.690727 132.898385 \nL 166.556519 134.820649 \nL 163.884898 136.699107 \nL 161.719966 138.496506 \nL 160.068237 140.195843 \nL 158.912444 141.789884 \nL 158.223289 143.273497 \nL 157.968205 144.63909 \nL 158.117192 145.874508 \nL 158.646197 146.962361 \nL 159.538605 147.88006 \nL 160.785336 148.600007 \nL 162.383823 149.089766 \nL 164.336018 149.312164 \nL 166.645379 149.225526 \nL 169.312616 148.78445 \nL 172.329894 147.941602 \nL 175.673116 146.651372 \nL 179.292094 144.876298 \nL 183.09878 142.597328 \nL 186.954724 139.828598 \nL 188.841384 138.278638 \nL 190.660413 136.636212 \nL 192.376675 134.920997 \nL 193.951443 133.158171 \nL 195.34316 131.378567 \nL 196.508619 129.618442 \nL 197.404571 127.918772 \nL 197.989748 126.323984 \nL 198.227245 124.880056 \nL 198.087107 123.632054 \nL 197.548907 122.621239 \nL 196.604043 121.88195 \nL 195.257439 121.438714 \nL 193.528357 121.303889 \nL 191.450125 121.476281 \nL 189.068665 121.941064 \nL 186.439959 122.67106 \nL 183.626688 123.629211 \nL 177.707976 126.053325 \nL 171.807846 128.854776 \nL 166.320169 131.732548 \nL 161.496511 134.495529 \nL 157.452512 137.060723 \nL 154.200654 139.420298 \nL 151.688902 141.603482 \nL 149.833347 143.648165 \nL 148.541164 145.585425 \nL 147.724705 147.434013 \nL 147.308983 149.200554 \nL 147.234818 150.882069 \nL 147.459422 152.468817 \nL 147.955641 153.946517 \nL 148.710635 155.297657 \nL 149.72447 156.501872 \nL 151.00882 157.535578 \nL 152.585871 158.370972 \nL 154.487311 158.974507 \nL 156.753233 159.304947 \nL 159.430581 159.311119 \nL 162.570587 158.929554 \nL 166.224376 158.082449 \nL 170.435541 156.676821 \nL 172.758853 155.731729 \nL 175.228046 154.606428 \nL 177.839977 153.286763 \nL 180.587474 151.759164 \nL 183.458254 150.01148 \nL 186.433694 148.034102 \nL 189.487489 145.821423 \nL 192.584244 143.373633 \nL 195.678111 140.698886 \nL 198.711617 137.815743 \nL 201.614914 134.755784 \nL 204.305727 131.566105 \nL 206.690365 128.311312 \nL 208.666172 125.074468 \nL 210.125757 121.956293 \nL 210.963236 119.071937 \nL 211.082418 116.544712 \nL 210.406436 114.496645 \nL 208.887827 113.036276 \nL 206.517487 112.245208 \nL 203.330641 112.165622 \nL 199.408071 112.791632 \nL 194.871525 114.067074 \nL 189.87351 115.890996 \nL 184.582983 118.130415 \nL 179.169572 120.6376 \nL 168.573518 125.896617 \nL 139.288782 140.934045 \nL 135.322452 143.234105 \nL 132.247872 145.304465 \nL 129.823122 147.259806 \nL 127.840807 149.162149 \nL 125.331041 151.963418 \nL 122.187588 155.574484 \nL 120.487177 157.28729 \nL 118.600443 158.906271 \nL 116.463555 160.402038 \nL 114.018811 161.738533 \nL 111.214049 162.869548 \nL 108.004262 163.734167 \nL 106.236409 164.04221 \nL 104.356093 164.251397 \nL 102.362327 164.347537 \nL 100.256149 164.31452 \nL 98.041165 164.134239 \nL 95.72419 163.786581 \nL 93.315978 163.24956 \nL 90.832037 162.499603 \nL 88.293482 161.512097 \nL 85.727913 160.262233 \nL 83.170196 158.726224 \nL 80.663084 156.882971 \nL 78.257498 154.716214 \nL 76.012329 152.21714 \nL 73.99352 149.387409 \nL 72.272278 146.242325 \nL 70.922245 142.813904 \nL 70.015575 139.153296 \nL 69.618039 135.33201 \nL 69.783492 131.441313 \nL 70.548249 127.589274 \nL 71.92615 123.895235 \nL 73.905171 120.481908 \nL 76.446293 117.465822 \nL 79.485122 114.947429 \nL 82.936223 113.002304 \nL 86.699607 111.675015 \nL 90.668465 110.976576 \nL 94.736936 110.88586 \nL 98.806904 111.354415 \nL 102.793056 112.31368 \nL 106.625866 113.683131 \nL 110.252613 115.37812 \nL 113.636807 117.316402 \nL 116.756507 119.422859 \nL 119.602053 121.632351 \nL 122.173599 123.890908 \nL 124.478754 126.155665 \nL 126.530473 128.393971 \nL 128.345286 130.582019 \nL 129.941873 132.703356 \nL 132.559431 136.708052 \nL 134.539804 140.371082 \nL 136.027473 143.696462 \nL 137.147133 146.707957 \nL 138.356354 150.705122 \nL 139.95174 157.194525 \nL 140.900765 160.649366 \nL 141.726395 162.861763 \nL 142.377751 164.168326 \nL 143.139331 165.341683 \nL 144.038954 166.378796 \nL 145.108245 167.272352 \nL 146.383979 168.010022 \nL 147.909416 168.573323 \nL 149.735594 168.936002 \nL 151.922501 169.061793 \nL 154.539904 168.901462 \nL 157.667418 168.38904 \nL 161.393075 167.437307 \nL 165.809074 165.932918 \nL 171.002634 163.732325 \nL 173.912868 162.317526 \nL 177.038669 160.661095 \nL 180.379744 158.737667 \nL 183.929676 156.521791 \nL 187.673897 153.989355 \nL 191.587256 151.119626 \nL 195.631235 147.898056 \nL 199.750887 144.320014 \nL 203.871688 140.395465 \nL 207.896681 136.154567 \nL 211.70442 131.653858 \nL 215.148513 126.982387 \nL 218.059748 122.266686 \nL 220.251988 117.672793 \nL 221.532861 113.403248 \nL 221.719877 109.686686 \nL 220.661531 106.758303 \nL 218.261238 104.831452 \nL 214.500027 104.06337 \nL 209.452147 104.521993 \nL 203.287722 106.163339 \nL 196.258873 108.82853 \nL 188.67034 112.264712 \nL 180.840929 116.166127 \nL 152.143905 131.0252 \nL 146.336618 133.767813 \nL 141.157713 136.047103 \nL 136.580131 137.906483 \nL 129.038775 140.615315 \nL 123.276257 142.397287 \nL 111.445731 145.873133 \nL 105.475691 147.811455 \nL 103.653071 148.226703 \nL 101.818944 148.467039 \nL 99.956525 148.494211 \nL 98.071768 148.272366 \nL 96.191757 147.77076 \nL 94.363289 146.967224 \nL 92.650921 145.852541 \nL 91.133622 144.43565 \nL 89.899212 142.748956 \nL 89.415997 141.82203 \nL 89.036189 140.852413 \nL 88.769198 139.852113 \nL 88.623066 138.834767 \nL 88.604087 137.815405 \nL 88.716467 136.810114 \nL 88.962038 135.835618 \nL 89.340056 134.908792 \nL 89.847096 134.046113 \nL 90.477044 133.26311 \nL 91.221227 132.573825 \nL 92.068636 131.990318 \nL 93.006258 131.522277 \nL 94.019484 131.176731 \nL 95.092574 130.957892 \nL 96.209142 130.867143 \nL 97.352647 130.903146 \nL 98.506834 131.062066 \nL 100.786039 131.722841 \nL 102.935945 132.782348 \nL 104.868205 134.157768 \nL 106.518974 135.762275 \nL 107.847248 137.513676 \nL 108.830953 139.339426 \nL 109.462174 141.178459 \nL 109.742514 142.980737 \nL 109.679211 144.705397 \nL 109.282288 146.318268 \nL 108.562859 147.789229 \nL 107.532519 149.089647 \nL 106.203803 150.190134 \nL 104.59163 151.058648 \nL 102.715723 151.659147 \nL 100.603937 151.950991 \nL 98.296379 151.889442 \nL 95.850071 151.42782 \nL 93.343542 150.521883 \nL 92.099037 149.890866 \nL 90.880387 149.137115 \nL 89.704624 148.259552 \nL 88.590229 147.259159 \nL 87.556878 146.139429 \nL 86.625084 144.90681 \nL 85.815679 143.571075 \nL 85.14921 142.145626 \nL 84.645192 140.647664 \nL 84.321297 139.098152 \nL 84.192489 137.521576 \nL 84.270171 135.945438 \nL 84.56142 134.399489 \nL 85.068353 132.914714 \nL 85.787723 131.522122 \nL 86.710785 130.251425 \nL 87.823448 129.12969 \nL 89.10675 128.18009 \nL 90.537591 127.420879 \nL 92.089702 126.864664 \nL 93.734749 126.518035 \nL 95.443476 126.38159 \nL 97.186835 126.450322 \nL 98.936971 126.714305 \nL 100.668052 127.159594 \nL 102.35689 127.769228 \nL 103.983332 128.524289 \nL 105.530467 129.404873 \nL 106.984625 130.390951 \nL 108.335246 131.463074 \nL 109.574639 132.602909 \nL 110.697664 133.793591 \nL 112.584654 136.268614 \nL 113.992426 138.788006 \nL 114.935432 141.278127 \nL 115.437151 143.687309 \nL 115.523214 145.980203 \nL 115.216814 148.132275 \nL 114.536087 150.124933 \nL 113.493069 151.941409 \nL 112.093928 153.56321 \nL 110.340326 154.966988 \nL 108.23186 156.121646 \nL 105.769748 156.985646 \nL 102.961975 157.504625 \nL 101.434484 157.613809 \nL 99.830255 157.60978 \nL 98.155619 157.481682 \nL 96.418991 157.217927 \nL 94.631246 156.806381 \nL 92.806101 156.234675 \nL 90.960472 155.490634 \nL 89.114792 154.562846 \nL 87.293244 153.441384 \nL 85.52386 152.118702 \nL 83.838428 150.590685 \nL 82.272155 148.85783 \nL 80.863012 146.926481 \nL 79.650724 144.81006 \nL 78.675378 142.530123 \nL 77.975634 140.117108 \nL 77.586659 137.610581 \nL 77.537838 135.058802 \nL 77.850492 132.517485 \nL 78.535847 130.047691 \nL 79.593459 127.712911 \nL 81.010395 125.575518 \nL 82.761304 123.692988 \nL 84.80945 122.114189 \nL 87.108663 120.876302 \nL 89.605968 120.002694 \nL 92.244647 119.502032 \nL 94.967356 119.368654 \nL 97.718987 119.584128 \nL 100.449035 120.119701 \nL 103.113306 120.939203 \nL 105.674911 122.002096 \nL 108.104636 123.266286 \nL 110.38076 124.690512 \nL 112.488485 126.236128 \nL 114.419103 127.868298 \nL 116.169051 129.556664 \nL 117.738929 131.275549 \nL 119.132567 133.003838 \nL 120.356171 134.724639 \nL 121.417581 136.424815 \nL 123.089704 139.726372 \nL 124.223243 142.858914 \nL 124.889302 145.801805 \nL 125.148922 148.551991 \nL 125.049728 151.115974 \nL 124.62482 153.504393 \nL 123.892952 155.728401 \nL 122.859367 157.797152 \nL 121.516904 159.715808 \nL 119.847228 161.483683 \nL 117.822186 163.092061 \nL 115.405511 164.521463 \nL 112.555283 165.737936 \nL 109.227811 166.688148 \nL 107.372455 167.039941 \nL 105.383951 167.293187 \nL 103.259773 167.432824 \nL 100.999238 167.44127 \nL 98.604153 167.298225 \nL 96.079604 166.980557 \nL 93.434875 166.462291 \nL 90.684503 165.714795 \nL 87.849448 164.707233 \nL 84.958332 163.407373 \nL 82.048675 161.782888 \nL 79.167979 159.803257 \nL 76.374522 157.442339 \nL 73.737556 154.681736 \nL 71.336668 151.514817 \nL 69.259976 147.951265 \nL 67.60084 144.02172 \nL 66.452956 139.781878 \nL 65.903856 135.315137 \nL 66.027183 130.732801 \nL 66.874564 126.1709 \nL 68.468176 121.783056 \nL 70.795418 117.729495 \nL 73.806929 114.163276 \nL 77.418757 111.215661 \nL 81.518692 108.983157 \nL 85.975904 107.518594 \nL 90.652261 106.827949 \nL 95.413462 106.873292 \nL 100.138328 107.580872 \nL 104.72516 108.852437 \nL 109.094873 110.577399 \nL 113.191279 112.643915 \nL 116.979247 114.947438 \nL 120.441598 117.39628 \nL 123.575537 119.91435 \nL 126.389122 122.441592 \nL 128.898121 124.932862 \nL 131.123399 127.355956 \nL 133.088854 129.689294 \nL 136.342018 134.039949 \nL 138.859522 137.944059 \nL 140.827998 141.414039 \nL 143.738918 147.197186 \nL 146.066319 151.692785 \nL 147.229855 153.531349 \nL 148.482272 155.119829 \nL 149.880593 156.464052 \nL 151.478348 157.560488 \nL 153.328308 158.395692 \nL 155.484399 158.945394 \nL 158.002642 159.173226 \nL 160.940817 159.029113 \nL 164.356263 158.447653 \nL 168.300968 157.347066 \nL 172.812566 155.629911 \nL 175.285301 154.506401 \nL 177.899554 153.187728 \nL 180.648128 151.660553 \nL 183.51867 149.912968 \nL 186.492456 147.935624 \nL 189.543044 145.723192 \nL 192.634887 143.276169 \nL 195.72198 140.603044 \nL 198.746711 137.722744 \nL 201.639128 134.667215 \nL 204.316924 131.483915 \nL 206.686492 128.237751 \nL 208.645397 125.01199 \nL 210.086651 121.907399 \nL 210.904982 119.038954 \nL 211.005015 116.529516 \nL 210.310878 114.500362 \nL 208.776208 113.059017 \nL 206.392999 112.285872 \nL 203.197428 112.221848 \nL 199.270943 112.859973 \nL 194.735569 114.143295 \nL 189.743636 115.970599 \nL 184.463521 118.209131 \nL 179.063963 120.711863 \nL 168.501731 125.955362 \nL 139.332768 140.949243 \nL 135.382973 143.248993 \nL 132.321346 145.321028 \nL 129.907016 147.279051 \nL 127.933478 149.184518 \nL 125.435323 151.990803 \nL 122.307029 155.609307 \nL 120.614769 157.326571 \nL 118.736775 158.950892 \nL 116.609218 160.453266 \nL 114.174253 161.798113 \nL 111.37937 162.9398 \nL 108.178945 163.818079 \nL 106.41529 164.134297 \nL 104.538639 164.352679 \nL 102.547801 164.459123 \nL 100.443577 164.437597 \nL 98.229292 164.270049 \nL 95.911433 163.936391 \nL 93.500388 163.414605 \nL 91.011252 162.681038 \nL 88.464701 161.710904 \nL 85.88787 160.479099 \nL 83.315174 158.961408 \nL 80.788948 157.136143 \nL 78.359783 154.986263 \nL 76.086374 152.501995 \nL 74.03468 149.683843 \nL 72.276195 146.545832 \nL 70.885187 143.118627 \nL 69.934811 139.452083 \nL 69.492231 135.616633 \nL 69.613044 131.702842 \nL 70.335562 127.818655 \nL 71.675709 124.08398 \nL 73.623429 120.622856 \nL 76.141346 117.553854 \nL 79.16619 114.97998 \nL 82.612992 112.979648 \nL 86.381555 111.600179 \nL 90.36423 110.854973 \nL 94.453848 110.724651 \nL 98.550692 111.16176 \nL 102.567759 112.097986 \nL 106.433903 113.452401 \nL 110.094988 115.13947 \nL 113.513359 117.07578 \nL 116.666197 119.184942 \nL 119.543229 121.400579 \nL 122.144226 123.667616 \nL 124.476599 125.942265 \nL 126.553254 128.191125 \nL 128.390778 130.389841 \nL 130.007979 132.521551 \nL 132.661221 136.545122 \nL 134.671342 140.223719 \nL 136.184644 143.561109 \nL 137.327556 146.581202 \nL 138.570602 150.585467 \nL 141.553713 161.274148 \nL 142.51682 163.35975 \nL 143.288625 164.577043 \nL 144.19722 165.653723 \nL 145.274648 166.583005 \nL 146.557839 167.352956 \nL 148.089976 167.945403 \nL 149.921791 168.334346 \nL 152.112715 168.483775 \nL 154.73166 168.344774 \nL 157.857011 167.85186 \nL 161.575095 166.918595 \nL 165.975817 165.432938 \nL 171.143416 163.25347 \nL 174.035538 161.851113 \nL 177.139129 160.209099 \nL 180.453359 158.30274 \nL 183.971289 156.107399 \nL 187.677863 153.599901 \nL 191.547553 150.760552 \nL 195.541645 147.57593 \nL 199.605275 144.042517 \nL 203.664436 140.171275 \nL 207.623259 135.993051 \nL 211.362135 131.56453 \nL 214.737413 126.974061 \nL 217.583655 122.346261 \nL 219.719512 117.843762 \nL 220.958248 113.663997 \nL 221.123421 110.028869 \nL 220.069231 107.165812 \nL 217.703476 105.28038 \nL 214.009132 104.523534 \nL 209.059061 104.96016 \nL 203.018369 106.547718 \nL 196.131036 109.133605 \nL 188.691883 112.475079 \nL 181.009831 116.278197 \nL 152.760052 130.882087 \nL 147.021433 133.610142 \nL 141.897096 135.89124 \nL 137.362613 137.765276 \nL 129.882313 140.529335 \nL 121.820307 143.101617 \nL 114.886503 145.2779 \nL 110.190954 147.00048 \nL 106.310839 148.398179 \nL 104.424819 148.9063 \nL 102.505489 149.23439 \nL 100.533577 149.340486 \nL 98.513217 149.183803 \nL 96.4709 148.727331 \nL 94.454839 147.941371 \nL 92.533849 146.808375 \nL 90.794786 145.329098 \nL 90.024365 144.46653 \nL 89.337451 143.529419 \nL 88.747156 142.525936 \nL 88.266153 141.466456 \nL 87.90624 140.363556 \nL 87.677858 139.231911 \nL 87.589631 138.08808 \nL 87.647906 136.950173 \nL 87.856375 135.837377 \nL 88.215753 134.769407 \nL 88.723581 133.765846 \nL 89.37417 132.845454 \nL 90.158676 132.025483 \nL 91.065334 131.321023 \nL 92.079821 130.744464 \nL 93.185736 130.305069 \nL 94.365162 130.008736 \nL 95.599259 129.857921 \nL 96.86888 129.851736 \nL 98.155142 129.986209 \nL 99.43993 130.254668 \nL 100.706328 130.648208 \nL 101.938928 131.156207 \nL 104.249927 132.467648 \nL 106.285926 134.088821 \nL 107.988842 135.921101 \nL 109.325678 137.875884 \nL 110.282828 139.878534 \nL 110.860048 141.868847 \nL 111.065104 143.799313 \nL 110.909585 145.632252 \nL 110.406052 147.336615 \nL 109.566492 148.884831 \nL 108.401987 150.249911 \nL 106.923508 151.402911 \nL 105.143782 152.31081 \nL 103.08022 152.934888 \nL 100.758908 153.22989 \nL 98.219631 153.144369 \nL 95.521625 152.622892 \nL 94.138403 152.181387 \nL 92.749515 151.610918 \nL 91.370318 150.906206 \nL 90.018232 150.063314 \nL 88.712692 149.080152 \nL 87.474994 147.95702 \nL 86.328009 146.697187 \nL 85.295743 145.307459 \nL 84.402725 143.798698 \nL 83.673248 142.186239 \nL 83.130439 140.490117 \nL 82.795219 138.735089 \nL 82.685198 136.950304 \nL 82.813595 135.168688 \nL 83.188249 133.425926 \nL 83.810837 131.759147 \nL 84.67639 130.205319 \nL 85.773183 128.799527 \nL 87.083007 127.573243 \nL 88.581872 126.552741 \nL 90.241037 125.757855 \nL 92.028321 125.201168 \nL 93.909555 124.887691 \nL 95.850058 124.815102 \nL 97.816023 124.974412 \nL 99.775684 125.350998 \nL 101.700253 125.925882 \nL 103.564539 126.677085 \nL 105.347316 127.580974 \nL 107.031394 128.613431 \nL 108.603512 129.750863 \nL 110.054054 130.970953 \nL 111.376658 132.253208 \nL 112.567773 133.579255 \nL 113.62618 134.932999 \nL 115.348936 137.670401 \nL 116.565083 140.37958 \nL 117.30626 143.002889 \nL 117.606829 145.503628 \nL 117.498004 147.859152 \nL 117.00442 150.05501 \nL 116.142521 152.080202 \nL 114.920343 153.92328 \nL 113.338367 155.569019 \nL 111.391322 156.995328 \nL 109.071026 158.170222 \nL 106.370502 159.048743 \nL 104.877192 159.358508 \nL 103.289793 159.569916 \nL 101.610726 159.672442 \nL 99.843999 159.654328 \nL 97.995609 159.502623 \nL 96.073993 159.203283 \nL 94.0905 158.741384 \nL 92.059898 158.10145 \nL 90.000862 157.267939 \nL 87.936433 156.225919 \nL 85.894375 154.961957 \nL 83.907372 153.465254 \nL 82.013006 151.728999 \nL 80.253397 149.751928 \nL 78.674432 147.540015 \nL 77.324493 145.108153 \nL 76.252662 142.48168 \nL 75.506371 139.697448 \nL 75.12862 136.804237 \nL 75.154897 133.862197 \nL 75.610124 130.941131 \nL 76.505935 128.117538 \nL 77.838684 125.470488 \nL 79.588554 123.076679 \nL 81.719961 121.0052 \nL 84.183335 119.312597 \nL 86.9181 118.038984 \nL 89.856547 117.205678 \nL 92.928065 116.814687 \nL 96.063269 116.849996 \nL 99.197542 117.280409 \nL 102.273748 118.063348 \nL 105.243922 119.149088 \nL 108.069998 120.484821 \nL 110.723736 122.018143 \nL 113.186018 123.699787 \nL 115.445763 125.485403 \nL 117.49865 127.336587 \nL 119.345789 129.221195 \nL 120.992464 131.113179 \nL 122.447 132.992088 \nL 123.719789 134.84239 \nL 125.767312 138.415228 \nL 127.232467 141.778347 \nL 128.208699 144.914024 \nL 128.777371 147.825362 \nL 129.004155 150.526398 \nL 128.93815 153.035885 \nL 128.612503 155.373599 \nL 128.045684 157.558139 \nL 127.242913 159.605634 \nL 126.197419 161.528871 \nL 124.891436 163.336496 \nL 123.29689 165.032008 \nL 121.375927 166.612297 \nL 119.081449 168.06539 \nL 116.358039 169.367105 \nL 113.143856 170.476178 \nL 109.374427 171.32743 \nL 107.262279 171.627276 \nL 104.989758 171.822675 \nL 102.552117 171.894345 \nL 99.946877 171.819464 \nL 97.174741 171.57131 \nL 94.240685 171.11899 \nL 91.155307 170.427321 \nL 87.936385 169.456985 \nL 84.610651 168.165085 \nL 81.215726 166.506259 \nL 77.802049 164.434614 \nL 74.434628 161.906648 \nL 71.194283 158.88535 \nL 68.177905 155.345645 \nL 65.497258 151.281012 \nL 63.275693 146.710952 \nL 61.642273 141.688423 \nL 60.723086 136.305982 \nL 60.630003 130.698816 \nL 61.447846 125.042767 \nL 63.221808 119.545849 \nL 65.947441 114.432691 \nL 69.565789 109.923253 \nL 73.965439 106.208794 \nL 78.99191 103.429775 \nL 84.462972 101.66029 \nL 90.187003 100.902554 \nL 95.980822 101.092208 \nL 101.683912 102.112632 \nL 107.16727 103.814374 \nL 112.336617 106.035292 \nL 117.131004 108.617762 \nL 121.518408 111.420857 \nL 125.489945 114.327083 \nL 129.053957 117.244447 \nL 132.230723 120.105175 \nL 135.048148 122.862507 \nL 139.735803 127.960896 \nL 143.388224 132.436761 \nL 147.48722 138.010875 \nL 151.487928 143.608414 \nL 153.228504 145.746576 \nL 154.958984 147.49842 \nL 156.773028 148.887075 \nL 158.747436 149.921679 \nL 160.945908 150.597922 \nL 163.421225 150.898694 \nL 166.215511 150.795056 \nL 169.358205 150.247845 \nL 172.861272 149.210626 \nL 176.711196 147.63505 \nL 180.857418 145.480002 \nL 183.012124 144.177741 \nL 185.197559 142.726109 \nL 187.390124 141.129537 \nL 189.56101 139.396802 \nL 191.675924 137.541954 \nL 193.695027 135.585223 \nL 195.573222 133.553803 \nL 197.26084 131.482351 \nL 198.704889 129.413066 \nL 199.850882 127.395171 \nL 200.645332 125.483576 \nL 201.038805 123.736687 \nL 200.989443 122.213249 \nL 200.466632 120.968431 \nL 199.45444 120.049407 \nL 197.95438 119.490972 \nL 195.98696 119.311827 \nL 193.591692 119.512187 \nL 190.825325 120.073272 \nL 187.758435 120.958912 \nL 184.470702 122.119122 \nL 181.045539 123.495124 \nL 174.103777 126.6489 \nL 167.492461 129.975981 \nL 161.591026 133.17156 \nL 156.587801 136.094037 \nL 152.519382 138.725174 \nL 149.325502 141.111559 \nL 146.896991 143.317769 \nL 145.109308 145.400036 \nL 143.842567 147.396641 \nL 142.991742 149.328014 \nL 142.470601 151.200838 \nL 142.21205 153.012858 \nL 142.166651 154.756847 \nL 142.300421 156.423341 \nL 142.592554 158.002192 \nL 143.033409 159.483213 \nL 143.62292 160.856159 \nL 144.369494 162.110286 \nL 145.289352 163.233558 \nL 146.406308 164.211616 \nL 147.751874 165.026482 \nL 149.365639 165.654934 \nL 151.295763 166.066514 \nL 153.599403 166.221027 \nL 156.342748 166.06549 \nL 159.600107 165.530486 \nL 163.451184 164.526175 \nL 167.97509 162.938557 \nL 170.511256 161.883226 \nL 173.238893 160.627559 \nL 176.161213 159.150446 \nL 179.277501 157.430033 \nL 182.581708 155.444525 \nL 186.060766 153.173363 \nL 189.692576 150.598925 \nL 193.443727 147.708818 \nL 197.267006 144.498879 \nL 201.098846 140.976934 \nL 204.857003 137.167239 \nL 208.438841 133.115396 \nL 211.720852 128.893277 \nL 214.560105 124.603097 \nL 216.798532 120.379461 \nL 218.270828 116.387762 \nL 218.816512 112.817266 \nL 218.295995 109.867456 \nL 216.609346 107.727419 \nL 213.715082 106.549952 \nL 209.644947 106.424634 \nL 204.510233 107.356384 \nL 198.496171 109.256445 \nL 191.843696 111.95066 \nL 184.821684 115.204737 \nL 170.701197 122.374639 \nL 157.794862 129.03625 \nL 146.940705 134.308804 \nL 138.275133 138.119251 \nL 131.549428 140.802399 \nL 120.725246 145.008697 \nL 116.649616 146.914638 \nL 108.355744 151.177148 \nL 106.238306 151.922728 \nL 103.985708 152.45013 \nL 101.58203 152.705306 \nL 99.03509 152.631 \nL 96.3785 152.168683 \nL 95.027359 151.774313 \nL 93.674589 151.262561 \nL 92.332916 150.628023 \nL 91.017105 149.866529 \nL 89.743909 148.975562 \nL 88.531915 147.954723 \nL 87.401296 146.806219 \nL 86.373431 145.535367 \nL 85.470394 144.151039 \nL 84.714289 142.666058 \nL 84.12647 141.09743 \nL 83.726627 139.466416 \nL 83.531832 137.798324 \nL 83.555552 136.122059 \nL 83.806746 134.469333 \nL 84.289095 132.873606 \nL 85.00047 131.368759 \nL 85.932683 129.987625 \nL 87.071594 128.760452 \nL 88.397551 127.71345 \nL 89.886182 126.867576 \nL 91.509418 126.237603 \nL 93.236737 125.831666 \nL 95.036451 125.651206 \nL 96.876976 125.691358 \nL 98.727971 125.941685 \nL 100.561293 126.387195 \nL 102.351697 127.009486 \nL 104.077307 127.787934 \nL 105.71983 128.700808 \nL 107.264575 129.726258 \nL 108.700296 130.8431 \nL 110.018916 132.031435 \nL 111.215167 133.273046 \nL 112.286184 134.551636 \nL 114.050606 137.164568 \nL 115.321982 139.77898 \nL 116.124295 142.33083 \nL 116.486842 144.777218 \nL 116.438018 147.090035 \nL 116.00145 149.250292 \nL 115.194025 151.243336 \nL 114.025374 153.054852 \nL 112.498538 154.667485 \nL 110.611656 156.057708 \nL 108.36076 157.192892 \nL 105.743821 158.028439 \nL 104.299342 158.315986 \nL 102.766439 158.505172 \nL 101.148273 158.586013 \nL 99.449567 158.547473 \nL 97.67699 158.377509 \nL 95.839548 158.06323 \nL 93.949023 157.591111 \nL 92.020392 156.947341 \nL 90.072249 156.118309 \nL 88.127171 155.091275 \nL 86.211963 153.855211 \nL 84.357778 152.401837 \nL 82.59998 150.72686 \nL 80.977728 148.831345 \nL 79.533174 146.723165 \nL 78.310236 144.418397 \nL 77.352925 141.942531 \nL 76.703212 139.331242 \nL 76.39857 136.630543 \nL 76.469337 133.896098 \nL 76.936105 131.191541 \nL 77.807507 128.585763 \nL 79.078618 126.149297 \nL 80.73033 123.950059 \nL 82.729797 122.048906 \nL 85.032059 120.495513 \nL 87.58261 119.325173 \nL 90.320722 118.556837 \nL 93.183041 118.192717 \nL 96.107117 118.219362 \nL 99.034468 118.610005 \nL 101.912932 119.327754 \nL 104.698224 120.329121 \nL 107.354649 121.567489 \nL 109.855148 122.996157 \nL 112.180782 124.570717 \nL 114.319871 126.250714 \nL 116.266921 128.000648 \nL 118.0215 129.790371 \nL 119.587136 131.595049 \nL 120.970305 133.394818 \nL 122.179547 135.174263 \nL 124.116377 138.629097 \nL 125.48203 141.902154 \nL 126.358894 144.970322 \nL 126.81917 147.831262 \nL 126.920904 150.493994 \nL 126.706669 152.972759 \nL 126.203751 155.2831 \nL 125.425089 157.439373 \nL 124.370441 159.453037 \nL 123.027539 161.331259 \nL 121.373146 163.075458 \nL 119.374076 164.679461 \nL 116.988405 166.126944 \nL 114.167279 167.387812 \nL 110.857971 168.413191 \nL 109.003953 168.81555 \nL 107.009197 169.128726 \nL 104.868994 169.338073 \nL 102.580153 169.426242 \nL 100.141629 169.372886 \nL 97.555305 169.154419 \nL 94.826942 168.743846 \nL 91.967289 168.110751 \nL 88.993385 167.221515 \nL 85.929992 166.039875 \nL 82.811117 164.527957 \nL 79.681515 162.647937 \nL 76.598007 160.364495 \nL 73.630343 157.64816 \nL 70.861292 154.479635 \nL 68.385574 150.854982 \nL 66.307214 146.791392 \nL 64.734905 142.33289 \nL 63.775324 137.555036 \nL 63.524469 132.567374 \nL 64.05779 127.512271 \nL 65.420265 122.559009 \nL 67.618171 117.892708 \nL 70.6143 113.698668 \nL 74.328116 110.14426 \nL 78.641385 107.36123 \nL 83.408677 105.431974 \nL 88.470943 104.382487 \nL 93.669736 104.183303 \nL 98.859668 104.757775 \nL 103.917377 105.995434 \nL 108.746328 107.767376 \nL 113.277724 109.940775 \nL 117.4685 112.390382 \nL 121.297528 115.006209 \nL 124.761127 117.697339 \nL 127.868627 120.392647 \nL 130.638458 123.039443 \nL 133.094932 125.600901 \nL 137.180138 130.381933 \nL 140.356685 134.648172 \nL 142.848204 138.398526 \nL 146.538532 144.510198 \nL 148.764793 148.06092 \nL 150.205074 150.006396 \nL 151.711907 151.641658 \nL 153.357647 152.977106 \nL 155.20612 154.011438 \nL 157.315689 154.73141 \nL 159.741075 155.111391 \nL 162.533616 155.11289 \nL 165.739545 154.68426 \nL 169.395632 153.76121 \nL 173.521274 152.269168 \nL 175.758515 151.285011 \nL 178.105946 150.129221 \nL 180.554591 148.793208 \nL 183.090998 147.270097 \nL 185.696357 145.555655 \nL 188.3456 143.649419 \nL 191.006492 141.556058 \nL 193.638852 139.286899 \nL 196.193979 136.861567 \nL 198.614486 134.309593 \nL 200.834672 131.671831 \nL 202.781715 129.001356 \nL 204.37785 126.363541 \nL 205.543675 123.834916 \nL 206.202694 121.500428 \nL 206.286913 119.448902 \nL 205.743146 117.766698 \nL 204.539335 116.529995 \nL 202.670024 115.796569 \nL 200.159914 115.598349 \nL 197.064593 115.936271 \nL 193.46789 116.778682 \nL 189.475932 118.064102 \nL 185.208632 119.708098 \nL 180.789973 121.613023 \nL 171.960055 125.813123 \nL 160.031331 131.945609 \nL 150.708069 137.017444 \nL 145.995205 139.802624 \nL 142.324879 142.250161 \nL 139.507929 144.483791 \nL 137.354782 146.59569 \nL 135.694674 148.642572 \nL 134.382572 150.652682 \nL 132.812845 153.616143 \nL 129.584833 160.209433 \nL 128.508838 161.979624 \nL 127.27682 163.688817 \nL 125.842742 165.331678 \nL 124.15786 166.901274 \nL 122.168843 168.386989 \nL 119.816449 169.771653 \nL 117.034995 171.027533 \nL 113.753102 172.110758 \nL 109.896601 172.953654 \nL 107.730426 173.254861 \nL 105.395045 173.454511 \nL 102.884256 173.532458 \nL 100.194105 173.464705 \nL 97.323834 173.222962 \nL 94.277058 172.774267 \nL 91.063214 172.08076 \nL 87.699295 171.099721 \nL 84.211831 169.784037 \nL 80.639103 168.083278 \nL 77.033403 165.945656 \nL 73.463182 163.321097 \nL 70.014663 160.165746 \nL 66.792463 156.44798 \nL 63.918567 152.155995 \nL 61.528936 147.306463 \nL 59.767101 141.95344 \nL 58.774371 136.195916 \nL 58.676899 130.181919 \nL 59.570718 124.106755 \nL 61.506867 118.203449 \nL 64.479559 112.72465 \nL 68.420495 107.917418 \nL 73.201541 103.99479 \nL 78.646263 101.109749 \nL 84.548425 99.337456 \nL 90.693797 98.66987 \nL 96.880807 99.023466 \nL 102.936394 100.257463 \nL 108.725116 102.197467 \nL 114.151571 104.65912 \nL 119.157588 107.467442 \nL 123.716321 110.469749 \nL 127.825157 113.542059 \nL 131.498861 116.590131 \nL 134.763709 119.546953 \nL 137.652889 122.368375 \nL 142.452185 127.513489 \nL 146.194943 131.952133 \nL 151.584064 138.871828 \nL 154.637713 142.623254 \nL 156.507483 144.553221 \nL 158.38287 146.073528 \nL 160.35492 147.206839 \nL 162.4953 147.961187 \nL 164.859363 148.331428 \nL 167.487297 148.301082 \nL 170.403096 147.844796 \nL 173.611055 146.932072 \nL 177.089615 145.533 \nL 180.782662 143.626951 \nL 184.588955 141.215128 \nL 188.351478 138.337188 \nL 190.150098 136.751096 \nL 191.850329 135.090589 \nL 193.415185 133.379806 \nL 194.804876 131.648254 \nL 195.977897 129.930613 \nL 196.892529 128.266135 \nL 197.508743 126.697472 \nL 197.790434 125.26895 \nL 197.707869 124.024291 \nL 197.240154 123.003902 \nL 196.377462 122.241976 \nL 195.122731 121.763665 \nL 193.492567 121.582787 \nL 191.517134 121.700403 \nL 189.238925 122.104514 \nL 186.710515 122.771062 \nL 183.991472 123.666121 \nL 181.144817 124.749004 \nL 175.316757 127.302806 \nL 169.67351 130.101618 \nL 164.543814 132.895097 \nL 160.118339 135.541397 \nL 156.46786 137.991096 \nL 153.578308 140.251997 \nL 151.386191 142.355784 \nL 149.806451 144.33582 \nL 148.751179 146.216363 \nL 148.140648 148.00967 \nL 147.908863 149.71717 \nL 148.00563 151.332034 \nL 148.396614 152.841622 \nL 149.062411 154.229197 \nL 149.997231 155.474737 \nL 151.207558 156.554903 \nL 152.710917 157.442333 \nL 154.534718 158.104335 \nL 156.715032 158.501136 \nL 159.294972 158.583811 \nL 162.322187 158.292091 \nL 165.844707 157.552446 \nL 169.90407 156.277229 \nL 174.524218 154.366286 \nL 177.043204 153.139141 \nL 179.6944 151.713445 \nL 182.466956 150.07744 \nL 185.34426 148.221567 \nL 188.302713 146.139763 \nL 191.310413 143.831061 \nL 194.325892 141.301525 \nL 197.296972 138.566484 \nL 200.159977 135.652896 \nL 202.839536 132.601707 \nL 205.249268 129.469818 \nL 207.293709 126.331228 \nL 208.871812 123.276756 \nL 209.882249 120.411686 \nL 210.230498 117.850779 \nL 209.837466 115.710406 \nL 208.648771 114.097988 \nL 206.643481 113.099844 \nL 203.840654 112.769221 \nL 200.302014 113.117003 \nL 196.129594 114.107489 \nL 191.458049 115.66094 \nL 186.442637 117.663008 \nL 181.244935 119.979305 \nL 170.89928 125.015409 \nL 149.716757 135.871525 \nL 141.313293 140.319521 \nL 137.229159 142.712852 \nL 134.071607 144.855555 \nL 131.603374 146.867922 \nL 129.617394 148.81896 \nL 127.173359 151.690917 \nL 123.483078 156.318198 \nL 121.868928 158.07077 \nL 120.066691 159.736609 \nL 118.014002 161.290627 \nL 115.652494 162.701798 \nL 112.92689 163.929685 \nL 109.786051 164.919752 \nL 108.045905 165.303317 \nL 106.186654 165.597648 \nL 104.205294 165.789277 \nL 102.10048 165.862672 \nL 99.873042 165.800073 \nL 97.526609 165.581362 \nL 95.068359 165.184048 \nL 92.509868 164.583376 \nL 89.868068 163.752661 \nL 87.16627 162.663878 \nL 84.435202 161.288643 \nL 81.713958 159.599639 \nL 79.050748 157.572584 \nL 76.503244 155.188806 \nL 74.138329 152.438395 \nL 72.030977 149.323829 \nL 70.262041 145.863844 \nL 68.914742 142.097065 \nL 68.069842 138.08482 \nL 67.799642 133.912377 \nL 68.161294 129.687803 \nL 69.190147 125.537796 \nL 70.894193 121.600363 \nL 73.250629 118.014659 \nL 76.205436 114.909134 \nL 79.676404 112.389776 \nL 83.559348 110.530326 \nL 87.736632 109.366317 \nL 92.086652 108.89384 \nL 96.492811 109.073125 \nL 100.850798 109.835884 \nL 105.073416 111.094856 \nL 109.092862 112.753709 \nL 112.860784 114.715863 \nL 116.346674 116.891227 \nL 119.535335 119.200599 \nL 122.423919 121.577807 \nL 125.019019 123.970066 \nL 127.334047 126.337135 \nL 129.387013 128.649743 \nL 131.198739 130.887739 \nL 134.187902 135.093928 \nL 136.480153 138.911168 \nL 138.241749 142.344327 \nL 140.19907 146.836799 \nL 143.787384 155.759495 \nL 144.685786 157.433772 \nL 145.683731 158.913369 \nL 146.823264 160.200682 \nL 148.146681 161.291173 \nL 149.698695 162.172794 \nL 151.528194 162.824964 \nL 153.689534 163.217066 \nL 156.243191 163.306373 \nL 159.255426 163.035459 \nL 162.796296 162.329286 \nL 166.934971 161.092451 \nL 171.730676 159.207846 \nL 174.387001 157.980535 \nL 177.216892 156.538988 \nL 180.216318 154.864761 \nL 183.375755 152.940199 \nL 186.678634 150.749661 \nL 190.099573 148.281213 \nL 193.60243 145.528822 \nL 197.138282 142.495116 \nL 200.643484 139.194685 \nL 204.038097 135.657808 \nL 207.225079 131.934345 \nL 210.090698 128.09727 \nL 212.506817 124.245104 \nL 214.335655 120.502226 \nL 215.437544 117.015831 \nL 215.681819 113.948411 \nL 214.960433 111.465048 \nL 213.202897 109.715876 \nL 210.39022 108.81559 \nL 206.564782 108.823676 \nL 201.832995 109.730142 \nL 196.358781 111.451492 \nL 190.347932 113.839532 \nL 184.026082 116.702028 \nL 171.311119 123.028676 \nL 154.405706 131.646149 \nL 145.439326 135.970903 \nL 126.810225 144.579336 \nL 123.846466 146.252651 \nL 121.413026 147.842359 \nL 117.350722 150.883464 \nL 114.446134 152.999347 \nL 112.387522 154.273099 \nL 110.149568 155.387823 \nL 107.683088 156.293032 \nL 104.956594 156.929819 \nL 101.958286 157.22914 \nL 100.359977 157.227601 \nL 98.700657 157.110731 \nL 96.986857 156.86688 \nL 95.227636 156.483995 \nL 93.434901 155.949877 \nL 91.623711 155.252559 \nL 89.812542 154.380815 \nL 88.0235 153.324803 \nL 86.282404 152.076882 \nL 84.618709 150.632554 \nL 83.065204 148.991531 \nL 81.657439 147.158891 \nL 80.432829 145.1462 \nL 79.429397 142.972529 \nL 78.684185 140.665198 \nL 78.231339 138.260083 \nL 78.100023 135.801352 \nL 78.312282 133.34046 \nL 78.881073 130.934354 \nL 79.808684 128.642933 \nL 81.08579 126.525883 \nL 82.691304 124.639177 \nL 84.5931 123.031602 \nL 86.749606 121.741723 \nL 89.11209 120.795636 \nL 91.627413 120.205803 \nL 94.240936 119.971071 \nL 96.899277 120.077786 \nL 99.552684 120.501795 \nL 102.156831 121.211068 \nL 104.673981 122.168476 \nL 107.073531 123.334514 \nL 109.332028 124.669633 \nL 111.432758 126.136142 \nL 113.365066 127.699503 \nL 115.123504 129.329139 \nL 116.70693 130.998795 \nL 118.117607 132.686539 \nL 119.360377 134.374536 \nL 120.441919 136.048663 \nL 122.153514 139.314577 \nL 123.320982 142.4277 \nL 124.011931 145.361691 \nL 124.285483 148.109088 \nL 124.188401 150.673031 \nL 123.753562 153.061534 \nL 122.999878 155.283584 \nL 121.932975 157.346351 \nL 120.546268 159.252953 \nL 118.822249 161.000382 \nL 116.734028 162.57712 \nL 114.247337 163.960185 \nL 111.32346 165.111273 \nL 109.685332 165.582465 \nL 107.923785 165.971784 \nL 106.035184 166.267734 \nL 104.017017 166.456751 \nL 101.868359 166.522992 \nL 99.590445 166.448161 \nL 97.187365 166.211379 \nL 94.666868 165.789164 \nL 92.041299 165.15556 \nL 89.328635 164.282478 \nL 86.553598 163.140342 \nL 83.748782 161.699152 \nL 80.955687 159.930025 \nL 78.225519 157.807342 \nL 75.619576 155.311546 \nL 73.20893 152.432606 \nL 71.073183 149.17395 \nL 69.297987 145.556678 \nL 67.971158 141.623465 \nL 67.177334 137.441534 \nL 66.991395 133.103783 \nL 67.47117 128.727244 \nL 68.650334 124.448181 \nL 70.532629 120.413704 \nL 73.088567 116.770353 \nL 76.255557 113.651138 \nL 79.941809 111.162906 \nL 84.033632 109.376361 \nL 88.404992 108.320418 \nL 92.927831 107.982019 \nL 97.481477 108.310979 \nL 101.959952 109.228717 \nL 106.276518 110.638923 \nL 110.36544 112.438205 \nL 114.181471 114.525162 \nL 117.697731 116.80707 \nL 120.902736 119.203904 \nL 123.797167 121.650017 \nL 126.390786 124.094053 \nL 128.699742 126.497671 \nL 130.744341 128.833677 \nL 134.132364 133.2375 \nL 136.743744 137.235557 \nL 138.759563 140.822277 \nL 141.010616 145.489618 \nL 144.680591 153.679936 \nL 145.690184 155.455748 \nL 146.791329 157.011786 \nL 148.032935 158.352617 \nL 149.462384 159.474804 \nL 151.128019 160.366369 \nL 153.081062 161.005827 \nL 155.376856 161.360765 \nL 158.075233 161.385944 \nL 161.239553 161.021031 \nL 164.933709 160.188288 \nL 169.21589 158.791013 \nL 171.591504 157.845358 \nL 174.127411 156.714237 \nL 176.82312 155.381356 \nL 179.674254 153.830464 \nL 182.671396 152.046165 \nL 185.798741 150.01502 \nL 189.032552 147.727037 \nL 192.339507 145.177572 \nL 195.674965 142.369722 \nL 198.981353 139.317122 \nL 202.186874 136.047089 \nL 205.204854 132.603874 \nL 207.934146 129.051599 \nL 210.261095 125.47627 \nL 212.063502 121.986078 \nL 213.217067 118.708979 \nL 213.604401 115.786732 \nL 213.126288 113.364722 \nL 211.714162 111.577879 \nL 209.342057 110.533923 \nL 206.035595 110.296734 \nL 201.875556 110.873437 \nL 196.994202 112.208989 \nL 191.564032 114.190778 \nL 185.780624 116.663168 \nL 179.842859 119.449008 \nL 168.209978 125.282524 \nL 153.133238 132.94287 \nL 130.389896 144.273939 \nL 127.449205 146.136605 \nL 125.068327 147.911838 \nL 122.107153 150.498429 \nL 117.580314 154.583427 \nL 115.606034 156.069617 \nL 113.424307 157.419202 \nL 110.978349 158.588131 \nL 108.223639 159.523023 \nL 105.12953 160.157924 \nL 103.45046 160.337984 \nL 101.683756 160.410911 \nL 99.832046 160.363544 \nL 97.900286 160.181526 \nL 95.896203 159.849388 \nL 93.830791 159.350759 \nL 91.71882 158.668697 \nL 89.579357 157.786196 \nL 87.436251 156.686911 \nL 85.318507 155.356108 \nL 83.26051 153.781893 \nL 81.301983 151.956693 \nL 79.48759 149.878963 \nL 77.866073 147.555037 \nL 76.488868 145.000984 \nL 75.40808 142.244263 \nL 74.673898 139.324894 \nL 74.331509 136.295844 \nL 74.417709 133.222353 \nL 74.957571 130.179905 \nL 75.961512 127.250853 \nL 77.423247 124.519744 \nL 79.318982 122.067797 \nL 81.608083 119.967116 \nL 84.235271 118.27539 \nL 87.134104 117.031834 \nL 90.231349 116.254959 \nL 93.451661 115.942389 \nL 96.722 116.072723 \nL 99.975347 116.608937 \nL 103.153383 117.502804 \nL 106.20805 118.699542 \nL 109.102083 120.142206 \nL 111.80868 121.775323 \nL 114.310565 123.547571 \nL 116.598704 125.413493 \nL 118.670865 127.33433 \nL 120.530171 129.278155 \nL 122.183783 131.219532 \nL 123.641711 133.138854 \nL 124.915833 135.021566 \nL 126.964795 138.639183 \nL 128.436235 142.026482 \nL 129.429353 145.171951 \nL 130.029583 148.083482 \nL 130.305605 150.778705 \nL 130.308972 153.279093 \nL 130.075129 155.606579 \nL 129.624973 157.781659 \nL 128.96647 159.822424 \nL 128.096041 161.743955 \nL 126.999583 163.557922 \nL 125.653102 165.272008 \nL 124.023025 166.889035 \nL 122.066313 168.405501 \nL 119.730596 169.809267 \nL 116.954703 171.076013 \nL 113.670174 172.16401 \nL 109.804734 173.006701 \nL 107.632152 173.306045 \nL 105.289265 173.502618 \nL 102.770013 173.576172 \nL 100.070605 173.502573 \nL 97.190474 173.25334 \nL 94.133476 172.795287 \nL 90.909359 172.09029 \nL 87.535507 171.09535 \nL 84.038954 169.763073 \nL 80.458598 168.04279 \nL 76.847494 165.882549 \nL 73.274974 163.232271 \nL 69.828261 160.048301 \nL 66.613032 156.299549 \nL 63.752315 151.975134 \nL 61.382957 147.093149 \nL 59.649075 141.709565 \nL 58.69206 135.925724 \nL 58.637483 129.892273 \nL 59.579989 123.807091 \nL 61.568456 117.905311 \nL 64.594293 112.440775 \nL 68.586073 107.660456 \nL 73.412659 103.775854 \nL 78.895145 100.937105 \nL 84.825727 99.215634 \nL 90.989644 98.599382 \nL 97.18577 99.001177 \nL 103.242247 100.277447 \nL 109.025261 102.252096 \nL 114.441167 104.740142 \nL 119.433457 107.566885 \nL 123.976698 110.580512 \nL 128.069396 113.658224 \nL 131.727146 116.707032 \nL 134.976804 119.661103 \nL 137.851934 122.477294 \nL 142.627326 127.607544 \nL 146.352155 132.028787 \nL 155.714156 143.650341 \nL 157.577546 145.355843 \nL 159.49699 146.664854 \nL 161.552753 147.592234 \nL 163.807448 148.13896 \nL 166.308117 148.293773 \nL 169.08625 148.035347 \nL 172.15545 147.335374 \nL 175.506545 146.163308 \nL 179.100067 144.49358 \nL 182.856471 142.316299 \nL 186.645358 139.651976 \nL 188.494975 138.156365 \nL 190.276343 136.569818 \nL 191.955829 134.911732 \nL 193.496369 133.206671 \nL 194.858227 131.484507 \nL 196.000122 129.780191 \nL 196.880761 128.133086 \nL 197.460755 126.585759 \nL 197.704863 125.182214 \nL 197.584428 123.965574 \nL 197.079798 122.975388 \nL 196.182479 122.24474 \nL 194.896753 121.79752 \nL 193.240471 121.646238 \nL 191.244826 121.79067 \nL 188.953044 122.217746 \nL 186.418066 122.90263 \nL 183.699435 123.810991 \nL 177.961274 126.13239 \nL 172.215709 128.841818 \nL 166.8479 131.648209 \nL 162.109523 134.361488 \nL 158.121989 136.894045 \nL 154.90586 139.231601 \nL 152.417159 141.397627 \nL 150.578869 143.425924 \nL 149.30359 145.34506 \nL 148.507748 147.172398 \nL 148.119369 148.91375 \nL 148.08154 150.565515 \nL 148.353267 152.117245 \nL 148.908918 153.553694 \nL 149.737052 154.856014 \nL 150.839078 156.002071 \nL 152.227958 156.966008 \nL 153.927015 157.71718 \nL 155.968723 158.218586 \nL 158.393246 158.424926 \nL 161.246283 158.280454 \nL 164.575594 157.716944 \nL 168.425216 156.652382 \nL 172.826118 154.99153 \nL 175.235931 153.905083 \nL 177.781533 152.63036 \nL 180.455429 151.154853 \nL 183.245213 149.467524 \nL 186.132425 147.559871 \nL 189.091319 145.427293 \nL 192.087563 143.070777 \nL 195.077032 140.498886 \nL 198.004759 137.730002 \nL 200.804316 134.794688 \nL 203.397843 131.737913 \nL 205.697065 128.620802 \nL 207.605615 125.521393 \nL 209.022978 122.533822 \nL 209.85023 119.765312 \nL 209.997497 117.330461 \nL 209.392692 115.342703 \nL 207.990637 113.903379 \nL 205.781198 113.089644 \nL 202.794785 112.943236 \nL 199.103693 113.46253 \nL 194.818317 114.600122 \nL 190.078315 116.267239 \nL 185.039983 118.344549 \nL 179.862066 120.697327 \nL 169.658425 125.708722 \nL 149.063606 136.290272 \nL 140.965414 140.627841 \nL 137.036991 142.985388 \nL 133.999384 145.11304 \nL 131.620962 147.122576 \nL 129.700786 149.076697 \nL 127.322509 151.956331 \nL 123.688388 156.59368 \nL 122.086045 158.349283 \nL 120.291895 160.018428 \nL 118.244263 161.576755 \nL 115.884914 162.993996 \nL 113.158167 164.230408 \nL 110.011947 165.232079 \nL 108.267075 165.622739 \nL 106.401427 165.92506 \nL 104.41172 166.125559 \nL 102.296292 166.20865 \nL 100.055618 166.156456 \nL 97.692953 165.948674 \nL 95.21508 165.562531 \nL 92.633183 164.972876 \nL 89.963823 164.152482 \nL 87.230002 163.072624 \nL 84.46224 161.704035 \nL 81.699583 160.018313 \nL 78.990416 157.989915 \nL 76.392893 155.598747 \nL 73.974752 152.833375 \nL 71.812263 149.69479 \nL 69.98806 146.200388 \nL 68.587628 142.387848 \nL 67.694388 138.318174 \nL 67.383557 134.077142 \nL 67.715201 129.77436 \nL 68.727288 125.539183 \nL 70.429786 121.51329 \nL 72.800925 117.840229 \nL 75.786573 114.653157 \nL 79.303217 112.062447 \nL 83.24432 110.145406 \nL 87.489135 108.939807 \nL 91.912594 108.442479 \nL 96.394687 108.612917 \nL 100.82806 109.380882 \nL 105.123091 110.656369 \nL 109.210248 112.339944 \nL 113.040124 114.331976 \nL 116.58176 116.539673 \nL 119.819953 118.881635 \nL 122.752187 121.290032 \nL 125.385595 123.710968 \nL 127.734244 126.103524 \nL 129.816849 128.438102 \nL 131.654939 130.694481 \nL 134.68968 134.927153 \nL 137.021981 138.75867 \nL 138.822208 142.1959 \nL 140.842085 146.67891 \nL 144.217439 154.606266 \nL 145.170683 156.340721 \nL 146.218347 157.867418 \nL 147.406026 159.190062 \nL 148.778594 160.304888 \nL 150.382568 161.200096 \nL 152.267957 161.854885 \nL 154.489554 162.237994 \nL 157.10747 162.305718 \nL 160.186534 161.99948 \nL 163.793847 161.243202 \nL 167.993417 159.941104 \nL 172.836154 157.977291 \nL 175.507048 156.706326 \nL 178.342892 155.219625 \nL 181.337199 153.500167 \nL 184.477586 151.532244 \nL 187.744233 149.302813 \nL 191.108163 146.80328 \nL 194.529391 144.031795 \nL 197.955087 140.996015 \nL 201.31794 137.716351 \nL 204.534992 134.229485 \nL 207.507393 130.591818 \nL 210.121513 126.882326 \nL 212.252027 123.204016 \nL 213.767449 119.682976 \nL 214.538501 116.463943 \nL 214.449222 113.701523 \nL 213.410091 111.546753 \nL 211.371612 110.129839 \nL 208.335956 109.541408 \nL 204.363824 109.815914 \nL 199.574041 110.92164 \nL 194.134656 112.760893 \nL 188.246483 115.181744 \nL 182.122069 117.999268 \nL 169.949739 124.073017 \nL 153.944416 132.215764 \nL 141.943047 137.993992 \nL 131.476767 142.959442 \nL 127.935849 144.863805 \nL 125.130091 146.614947 \nL 122.81732 148.29465 \nL 118.922284 151.533186 \nL 116.099572 153.81122 \nL 114.078115 155.203506 \nL 111.861414 156.448571 \nL 109.395699 157.498899 \nL 106.642139 158.297877 \nL 103.578705 158.777216 \nL 101.929582 158.871894 \nL 100.204839 158.854613 \nL 98.409031 158.712722 \nL 96.54918 158.432739 \nL 94.635181 158.00051 \nL 92.680198 157.401514 \nL 90.701091 156.621303 \nL 88.718777 155.646088 \nL 86.75853 154.463531 \nL 84.85015 153.06375 \nL 83.027889 151.440496 \nL 81.330156 149.592521 \nL 79.798811 147.525069 \nL 78.47807 145.251329 \nL 77.412919 142.793777 \nL 76.647079 140.185164 \nL 76.220576 137.468905 \nL 76.167035 134.698698 \nL 76.510969 131.937136 \nL 77.265296 129.253262 \nL 78.429472 126.719093 \nL 79.988486 124.405412 \nL 81.912966 122.377173 \nL 84.160478 120.689078 \nL 86.677914 119.381917 \nL 89.404713 118.48013 \nL 92.276543 117.990895 \nL 95.228999 117.904808 \nL 98.200938 118.19798 \nL 101.137126 118.835131 \nL 103.990072 119.773193 \nL 106.720991 120.964949 \nL 109.300014 122.362345 \nL 111.705796 123.919112 \nL 113.924688 125.592711 \nL 115.949679 127.345502 \nL 117.779232 129.145319 \nL 119.416139 130.965506 \nL 120.866451 132.784631 \nL 122.138538 134.58598 \nL 123.242285 136.356932 \nL 124.988011 139.773807 \nL 126.190951 142.992655 \nL 126.93256 146.000072 \nL 127.28197 148.799657 \nL 127.293176 151.403803 \nL 127.004447 153.828461 \nL 126.438923 156.089864 \nL 125.605724 158.202433 \nL 124.501167 160.177332 \nL 123.109881 162.021189 \nL 121.405783 163.734684 \nL 119.353019 165.31068 \nL 116.907115 166.731546 \nL 114.016779 167.965348 \nL 110.627051 168.960552 \nL 108.728036 169.345511 \nL 106.684879 169.638943 \nL 104.49281 169.825448 \nL 102.148687 169.88679 \nL 99.651679 169.801587 \nL 97.004084 169.545054 \nL 94.212349 169.088846 \nL 91.288253 168.401057 \nL 88.250276 167.446489 \nL 85.12513 166.18728 \nL 81.949347 164.584064 \nL 78.770849 162.597819 \nL 75.650274 160.19255 \nL 72.661779 157.338971 \nL 69.892992 154.019182 \nL 67.443643 150.232251 \nL 65.422458 146.000319 \nL 63.941942 141.374506 \nL 63.110945 136.439531 \nL 63.025266 131.31569 \nL 63.757157 126.156745 \nL 65.345135 121.142628 \nL 67.785939 116.466661 \nL 71.030563 112.318344 \nL 74.985699 108.864044 \nL 79.520985 106.229028 \nL 84.481027 104.484485 \nL 89.700087 103.642096 \nL 95.016787 103.657145 \nL 100.286347 104.438908 \nL 105.388826 105.865638 \nL 110.232927 107.800832 \nL 114.755939 110.107779 \nL 118.920899 112.660594 \nL 122.712264 115.351004 \nL 126.131129 118.091287 \nL 129.190697 120.814212 \nL 131.912404 123.471076 \nL 134.322806 126.028756 \nL 138.327981 130.77301 \nL 141.446222 134.978568 \nL 143.903917 138.655797 \nL 149.889936 148.022228 \nL 151.399131 149.872588 \nL 152.995003 151.404909 \nL 154.749325 152.626754 \nL 156.725283 153.533489 \nL 158.980165 154.108117 \nL 161.566613 154.321004 \nL 164.532067 154.129704 \nL 167.9159 153.479321 \nL 171.743541 152.304155 \nL 176.016641 150.531961 \nL 178.310749 149.399675 \nL 180.698379 148.092871 \nL 183.165617 146.605823 \nL 185.693369 144.935499 \nL 188.256524 143.082643 \nL 190.823163 141.053048 \nL 193.353893 138.858969 \nL 195.801399 136.520601 \nL 198.110391 134.067507 \nL 200.218092 131.539819 \nL 202.05549 128.988921 \nL 203.549485 126.477337 \nL 204.626097 124.077471 \nL 205.214732 121.868909 \nL 205.253358 119.934079 \nL 204.694241 118.352425 \nL 203.50961 117.19335 \nL 201.696448 116.508903 \nL 199.279509 116.327274 \nL 196.311771 116.648356 \nL 192.871896 117.442556 \nL 189.058779 118.653396 \nL 184.983872 120.203691 \nL 180.762458 122.004246 \nL 172.31105 125.996097 \nL 164.423837 130.009832 \nL 154.529457 135.328583 \nL 149.391354 138.296127 \nL 145.33706 140.887506 \nL 142.20781 143.218947 \nL 139.824933 145.390612 \nL 138.017912 147.471466 \nL 136.637161 149.500745 \nL 135.557792 151.49566 \nL 134.288105 154.429085 \nL 131.367029 161.783509 \nL 130.000194 164.321703 \nL 128.903432 165.942021 \nL 127.61226 167.503974 \nL 126.082502 169.005522 \nL 124.263869 170.441702 \nL 122.098549 171.802263 \nL 119.520228 173.068294 \nL 116.453923 174.207363 \nL 112.817321 175.16654 \nL 108.524869 175.862597 \nL 106.107116 176.07447 \nL 103.496646 176.168731 \nL 100.687096 176.119958 \nL 97.675205 175.897782 \nL 94.462104 175.466323 \nL 91.054939 174.783762 \nL 87.468851 173.802163 \nL 83.72932 172.467726 \nL 79.874833 170.721719 \nL 75.95976 168.502388 \nL 72.057185 165.74822 \nL 68.261299 162.402914 \nL 64.688744 158.422396 \nL 61.478105 153.783918 \nL 58.786558 148.496922 \nL 56.78275 142.614628 \nL 55.63524 136.244444 \nL 55.496598 129.554404 \nL 56.484485 122.772337 \nL 58.662417 116.174782 \nL 62.024224 110.064421 \nL 66.486512 104.737681 \nL 71.892334 100.447761 \nL 78.02663 97.371014 \nL 84.640801 95.584827 \nL 91.480978 95.062469 \nL 98.313932 95.685621 \nL 104.945725 97.270073 \nL 111.231023 99.597393 \nL 117.073733 102.44485 \nL 122.421451 105.608455 \nL 127.256751 108.916821 \nL 131.587821 112.2365 \nL 135.440056 115.470998 \nL 138.849323 118.555923 \nL 144.506437 124.141464 \nL 148.901831 128.880728 \nL 158.576123 139.712711 \nL 160.606836 141.525155 \nL 162.584628 142.886829 \nL 164.603678 143.832978 \nL 166.732327 144.3836 \nL 169.01628 144.546608 \nL 171.479952 144.321424 \nL 174.125861 143.703263 \nL 176.932222 142.688519 \nL 179.849107 141.281612 \nL 182.793993 139.503509 \nL 185.648138 137.401505 \nL 188.256003 135.058991 \nL 190.430655 132.602528 \nL 191.291863 131.383188 \nL 191.968231 130.202062 \nL 192.435788 129.08534 \nL 192.673233 128.059733 \nL 192.663149 127.151325 \nL 192.393221 126.384285 \nL 191.857293 125.779509 \nL 191.0562 125.353323 \nL 189.998238 125.116406 \nL 188.699197 125.073036 \nL 187.181924 125.220808 \nL 185.475408 125.550833 \nL 183.61348 126.048485 \nL 179.573178 127.46657 \nL 175.365568 129.292697 \nL 171.269248 131.341945 \nL 167.502217 133.462925 \nL 164.208578 135.553507 \nL 161.46327 137.557921 \nL 159.287076 139.45361 \nL 157.664601 141.236145 \nL 156.560512 142.907206 \nL 155.932068 144.467041 \nL 155.737697 145.910836 \nL 155.9422 147.227584 \nL 156.519456 148.400175 \nL 157.453322 149.405865 \nL 158.737318 150.216626 \nL 160.37341 150.799172 \nL 162.37001 151.114774 \nL 164.739089 151.118976 \nL 167.492134 150.761669 \nL 170.634494 149.988023 \nL 174.157574 148.741133 \nL 178.028295 146.967553 \nL 182.175591 144.627146 \nL 186.474464 141.70871 \nL 188.622878 140.042444 \nL 190.729757 138.252006 \nL 192.757818 136.35476 \nL 194.664559 134.374623 \nL 196.402788 132.342641 \nL 197.921626 130.297236 \nL 199.168067 128.283909 \nL 200.089142 126.354256 \nL 200.634703 124.564156 \nL 200.760659 122.971063 \nL 200.432513 121.630489 \nL 199.628811 120.591883 \nL 198.344105 119.894318 \nL 196.590952 119.562603 \nL 194.400542 119.604416 \nL 191.821688 120.009046 \nL 188.918135 120.748092 \nL 185.76448 121.778179 \nL 182.441164 123.045266 \nL 175.605449 126.052703 \nL 168.986248 129.321398 \nL 162.996738 132.519984 \nL 157.861767 135.475926 \nL 153.647703 138.147463 \nL 150.314327 140.568299 \nL 147.763834 142.798629 \nL 145.876782 144.895181 \nL 144.534472 146.898658 \nL 143.630931 148.83206 \nL 143.07805 150.704016 \nL 142.806676 152.513376 \nL 142.76556 154.253262 \nL 142.919388 155.913945 \nL 143.246592 157.484559 \nL 143.73738 158.95385 \nL 144.392136 160.310206 \nL 145.220297 161.541182 \nL 146.239674 162.632672 \nL 147.476183 163.567763 \nL 148.963904 164.32528 \nL 150.745349 164.877982 \nL 152.871766 165.190329 \nL 155.403219 165.215762 \nL 158.407989 164.893434 \nL 161.960614 164.144546 \nL 166.137387 162.868697 \nL 171.007576 160.941346 \nL 173.718757 159.687916 \nL 176.617716 158.21466 \nL 179.70244 156.500832 \nL 182.965476 154.526025 \nL 186.392263 152.271397 \nL 189.959203 149.721378 \nL 193.631478 146.865966 \nL 197.3607 143.703677 \nL 201.082586 140.245175 \nL 204.714896 136.517497 \nL 208.156074 132.568636 \nL 211.285127 128.471966 \nL 213.963473 124.329687 \nL 216.03951 120.274166 \nL 217.356649 116.46563 \nL 217.765128 113.084801 \nL 217.137374 110.319265 \nL 215.385478 108.343696 \nL 212.478215 107.295746 \nL 208.453825 107.25172 \nL 203.424642 108.20806 \nL 197.570688 110.074717 \nL 191.12197 112.684237 \nL 184.332537 115.815876 \nL 170.700794 122.697937 \nL 158.233822 129.116634 \nL 147.724844 134.252366 \nL 139.311904 138.029059 \nL 127.728529 142.793445 \nL 122.204276 145.202875 \nL 119.425148 146.615304 \nL 116.012548 148.611422 \nL 111.996646 151.051248 \nL 109.9583 152.113817 \nL 107.799584 153.015046 \nL 105.475077 153.704401 \nL 102.961174 154.125503 \nL 100.256978 154.216198 \nL 97.387202 153.909438 \nL 95.906016 153.585369 \nL 94.406583 153.136165 \nL 92.901257 152.553902 \nL 91.404848 151.831541 \nL 89.934666 150.963385 \nL 88.510513 149.945627 \nL 87.154521 148.77695 \nL 85.890884 147.459179 \nL 84.745396 145.997964 \nL 83.744818 144.403418 \nL 82.916032 142.690648 \nL 82.285012 140.880124 \nL 81.875645 138.997781 \nL 81.708448 137.074769 \nL 81.799278 135.146836 \nL 82.158135 133.253246 \nL 82.788189 131.435308 \nL 83.685126 129.734556 \nL 84.83693 128.190724 \nL 86.224142 126.839702 \nL 87.820598 125.711625 \nL 89.594626 124.829351 \nL 91.510533 124.207449 \nL 93.530317 123.851782 \nL 95.615394 123.759745 \nL 97.728203 123.921068 \nL 99.833591 124.319045 \nL 101.899869 124.932018 \nL 103.899541 125.735041 \nL 105.809658 126.701398 \nL 107.611904 127.80402 \nL 109.292414 129.016623 \nL 110.841421 130.314559 \nL 112.252785 131.675393 \nL 113.523451 133.079233 \nL 114.65291 134.508849 \nL 115.642657 135.94962 \nL 117.216114 138.818238 \nL 118.278461 141.613047 \nL 118.870525 144.289158 \nL 119.031509 146.820528 \nL 118.794166 149.192881 \nL 118.182265 151.398064 \nL 117.209688 153.429616 \nL 115.880715 155.279207 \nL 114.19119 156.933489 \nL 112.130522 158.371108 \nL 109.684661 159.559555 \nL 106.840378 160.451793 \nL 105.26638 160.767286 \nL 103.591398 160.982717 \nL 101.817154 161.086599 \nL 99.947055 161.06599 \nL 97.98665 160.906503 \nL 95.944138 160.592384 \nL 93.830924 160.106707 \nL 91.662213 159.43171 \nL 89.457614 158.549309 \nL 87.241691 157.441832 \nL 85.044455 156.093013 \nL 82.901661 154.489285 \nL 80.854853 152.621363 \nL 78.951033 150.486097 \nL 77.241831 148.088511 \nL 75.782084 145.443883 \nL 74.627742 142.579649 \nL 73.833105 139.536823 \nL 73.447468 136.370586 \nL 73.511421 133.149699 \nL 74.053125 129.95447 \nL 75.085006 126.873119 \nL 76.601413 123.996722 \nL 78.577604 121.413082 \nL 80.970435 119.200304 \nL 83.720745 117.42085 \nL 86.757196 116.116977 \nL 90.001125 115.308207 \nL 93.371739 114.991194 \nL 96.790996 115.141809 \nL 100.187659 115.719033 \nL 103.500186 116.669897 \nL 106.678351 117.934705 \nL 109.683718 119.451873 \nL 112.489153 121.161869 \nL 115.077735 123.010098 \nL 117.441268 124.948631 \nL 119.578679 126.937015 \nL 121.494443 128.942298 \nL 123.197135 130.938544 \nL 124.69819 132.906064 \nL 126.010853 134.830494 \nL 128.128189 138.513731 \nL 129.663803 141.946329 \nL 130.724407 145.120991 \nL 131.401619 148.049375 \nL 131.769346 150.752228 \nL 131.8838 153.253556 \nL 131.78488 155.57737 \nL 131.498053 157.746036 \nL 131.036243 159.779493 \nL 130.401434 161.694971 \nL 129.585862 163.506892 \nL 128.572761 165.226783 \nL 127.336667 166.863001 \nL 125.843377 168.42014 \nL 124.049628 169.897913 \nL 121.902691 171.289291 \nL 119.34013 172.57751 \nL 116.290176 173.731566 \nL 112.673486 174.699557 \nL 110.62674 175.089582 \nL 108.407515 175.399215 \nL 106.006468 175.611321 \nL 103.415585 175.705067 \nL 100.628947 175.655363 \nL 97.643738 175.432271 \nL 94.461513 175.000491 \nL 91.089791 174.318972 \nL 87.54399 173.340761 \nL 83.849702 172.013302 \nL 80.045276 170.279381 \nL 76.184589 168.07905 \nL 72.339749 165.352832 \nL 68.603344 162.046611 \nL 65.089682 158.118438 \nL 61.934189 153.547339 \nL 59.290068 148.343777 \nL 57.321355 142.560719 \nL 56.191712 136.303539 \nL 56.049122 129.736075 \nL 57.00772 123.079658 \nL 59.129376 116.60245 \nL 62.408783 110.597791 \nL 66.766193 105.353277 \nL 72.050733 101.115409 \nL 78.055014 98.057313 \nL 84.53844 96.257283 \nL 91.254272 95.693375 \nL 97.974599 96.254753 \nL 104.508605 97.7659 \nL 110.711981 100.016683 \nL 116.488033 102.791228 \nL 121.78271 105.89035 \nL 126.57644 109.145441 \nL 130.875181 112.42412 \nL 134.702263 115.629693 \nL 138.091782 118.6968 \nL 143.720159 124.274459 \nL 148.094896 129.03335 \nL 158.737065 141.034926 \nL 160.716291 142.680309 \nL 162.697105 143.896243 \nL 164.762656 144.708718 \nL 166.972837 145.129711 \nL 169.366644 145.160171 \nL 171.962571 144.793608 \nL 174.756994 144.020557 \nL 177.720647 142.834445 \nL 180.793688 141.239267 \nL 183.880292 139.259243 \nL 186.844516 136.949927 \nL 189.51015 134.409055 \nL 190.666508 133.09577 \nL 191.668044 131.783672 \nL 192.486472 130.498587 \nL 193.094447 129.268468 \nL 193.466818 128.122492 \nL 193.581996 127.089878 \nL 193.423367 126.198481 \nL 192.980604 125.473255 \nL 192.250771 124.934697 \nL 191.239077 124.597464 \nL 189.959166 124.469286 \nL 188.432861 124.550398 \nL 186.689356 124.833522 \nL 184.763898 125.304466 \nL 180.52779 126.725884 \nL 176.05788 128.615912 \nL 171.666239 130.765544 \nL 167.600676 133.000554 \nL 164.026497 135.202943 \nL 161.030157 137.309441 \nL 158.63583 139.296619 \nL 156.825938 141.163024 \nL 155.559837 142.914763 \nL 154.788187 144.556528 \nL 154.46273 146.087317 \nL 154.542209 147.499225 \nL 154.995433 148.777721 \nL 155.802387 149.90236 \nL 156.95407 150.847322 \nL 158.451474 151.58156 \nL 160.303905 152.068512 \nL 162.526597 152.265567 \nL 165.137417 152.123581 \nL 168.152201 151.586838 \nL 171.578152 150.594226 \nL 175.404576 149.082634 \nL 179.590279 146.994037 \nL 184.047395 144.288073 \nL 186.332886 142.700504 \nL 188.622528 140.96185 \nL 190.883859 139.082129 \nL 193.078334 137.077475 \nL 195.161302 134.971134 \nL 197.082367 132.794325 \nL 198.786287 130.586741 \nL 200.21449 128.396515 \nL 201.307324 126.279428 \nL 202.007033 124.29717 \nL 202.261409 122.514512 \nL 202.027871 120.995429 \nL 201.277635 119.798334 \nL 199.999468 118.970938 \nL 198.202433 118.545337 \nL 195.917098 118.53417 \nL 193.194791 118.928596 \nL 190.104814 119.698649 \nL 186.729813 120.796101 \nL 183.159948 122.159448 \nL 179.486628 123.720235 \nL 172.167515 127.16395 \nL 165.337541 130.664362 \nL 159.348097 133.936585 \nL 154.345423 136.875128 \nL 150.325396 139.495236 \nL 147.195633 141.866049 \nL 144.82461 144.063744 \nL 143.073497 146.148668 \nL 141.813791 148.159333 \nL 140.935336 150.115058 \nL 140.348598 152.021539 \nL 139.983796 153.876293 \nL 139.74231 156.546942 \nL 139.768137 159.061097 \nL 139.998254 161.396516 \nL 140.409148 163.536309 \nL 141.006935 165.467092 \nL 141.822271 167.175452 \nL 142.512391 168.182305 \nL 143.344904 169.075107 \nL 144.347613 169.843637 \nL 145.554772 170.473829 \nL 147.008109 170.946396 \nL 148.757988 171.235014 \nL 150.864606 171.303942 \nL 153.399022 171.104898 \nL 156.443626 170.573056 \nL 160.091362 169.622102 \nL 164.442467 168.138601 \nL 169.596683 165.976548 \nL 172.502387 164.58568 \nL 175.63766 162.954379 \nL 179.00582 161.05506 \nL 182.60465 158.859237 \nL 186.424353 156.338746 \nL 190.44506 153.467604 \nL 194.633865 150.224678 \nL 198.941474 146.597329 \nL 203.298567 142.586202 \nL 207.612203 138.211152 \nL 211.762762 133.518199 \nL 215.602213 128.586917 \nL 218.954738 123.537291 \nL 221.62109 118.534258 \nL 223.388089 113.787578 \nL 224.044382 109.544084 \nL 223.402668 106.069718 \nL 221.32691 103.620087 \nL 217.760455 102.40173 \nL 212.74869 102.530611 \nL 206.448529 103.998853 \nL 199.118797 106.662029 \nL 191.090533 110.255173 \nL 182.723094 114.436316 \nL 151.734789 130.643934 \nL 145.457343 133.598365 \nL 139.868424 136.013643 \nL 134.938305 137.93873 \nL 130.616409 139.444623 \nL 126.842267 140.608479 \nL 120.686652 142.193611 \nL 114.082892 143.507526 \nL 103.590734 145.225066 \nL 101.298965 145.406354 \nL 99.199011 145.299971 \nL 97.880249 145.0358 \nL 96.634738 144.601523 \nL 95.484879 143.992753 \nL 94.46288 143.215049 \nL 93.606976 142.285482 \nL 92.957188 141.233602 \nL 92.550562 140.101427 \nL 92.416276 138.941985 \nL 92.571024 137.816203 \nL 93.015471 136.788166 \nL 93.73241 135.919301 \nL 94.687042 135.262295 \nL 95.82952 134.855888 \nL 97.099267 134.721463 \nL 98.430333 134.862006 \nL 99.756819 135.263419 \nL 101.017565 135.897685 \nL 102.159508 136.726983 \nL 103.139559 137.707983 \nL 103.925097 138.795535 \nL 104.493428 139.945426 \nL 104.830607 141.11611 \nL 104.930015 142.269457 \nL 104.791006 143.370809 \nL 104.417844 144.388523 \nL 103.819064 145.293308 \nL 103.007321 146.057498 \nL 101.999718 146.654489 \nL 100.818592 147.058487 \nL 99.492629 147.244706 \nL 98.058162 147.190232 \nL 96.560409 146.875615 \nL 95.054299 146.287356 \nL 93.604448 145.421258 \nL 92.283771 144.286347 \nL 91.170289 142.908957 \nL 90.341807 141.336032 \nL 89.868631 139.63649 \nL 89.805032 137.899478 \nL 89.937296 137.048987 \nL 90.180838 136.228661 \nL 90.534504 135.452139 \nL 90.995011 134.73262 \nL 91.556973 134.082434 \nL 92.212998 133.512658 \nL 92.953895 133.032786 \nL 93.768918 132.650426 \nL 94.646085 132.371113 \nL 95.572517 132.198205 \nL 97.519424 132.174161 \nL 99.502493 132.563331 \nL 101.421901 133.323539 \nL 103.1924 134.394176 \nL 104.747088 135.705477 \nL 106.037994 137.186431 \nL 107.034322 138.770355 \nL 107.719374 140.397949 \nL 108.087068 142.018228 \nL 108.13867 143.587963 \nL 107.880185 145.070184 \nL 107.320589 146.432302 \nL 106.470966 147.644126 \nL 105.344557 148.676006 \nL 103.957683 149.497306 \nL 102.331489 150.075336 \nL 100.494415 150.374966 \nL 98.485278 150.35919 \nL 96.356641 149.991006 \nL 94.178031 149.237045 \nL 92.038163 148.073254 \nL 91.015837 147.334585 \nL 90.045124 146.492706 \nL 89.142032 145.550976 \nL 88.323121 144.515024 \nL 87.605136 143.393015 \nL 87.004549 142.195842 \nL 86.53702 140.937226 \nL 86.216818 139.633698 \nL 86.056189 138.304416 \nL 86.064754 136.970822 \nL 86.24893 135.656109 \nL 86.611477 134.384545 \nL 87.151142 133.180626 \nL 87.862517 132.068167 \nL 88.736069 131.069342 \nL 89.758396 130.203782 \nL 90.912675 129.487772 \nL 92.179272 128.933624 \nL 93.536488 128.549306 \nL 94.96137 128.338293 \nL 96.430532 128.299674 \nL 97.920927 128.428508 \nL 99.410541 128.716339 \nL 100.87896 129.151865 \nL 102.307775 129.721635 \nL 103.680868 130.41078 \nL 104.98454 131.203697 \nL 106.207526 132.084643 \nL 108.37791 134.049784 \nL 110.145379 136.193448 \nL 111.490475 138.421036 \nL 112.412715 140.657837 \nL 112.923014 142.847217 \nL 113.037573 144.947003 \nL 112.773482 146.925304 \nL 112.145996 148.75644 \nL 111.167279 150.417244 \nL 109.846441 151.883805 \nL 108.190733 153.128605 \nL 106.207878 154.118019 \nL 103.909588 154.810253 \nL 101.31638 155.153931 \nL 99.9195 155.176297 \nL 98.463778 155.087872 \nL 96.957224 154.879765 \nL 95.40977 154.54285 \nL 93.833527 154.068034 \nL 92.243014 153.446579 \nL 90.655364 152.67056 \nL 89.090443 151.733379 \nL 87.570877 150.630427 \nL 86.121939 149.359795 \nL 84.771266 147.923104 \nL 83.54836 146.326305 \nL 82.483864 144.580497 \nL 81.608586 142.702594 \nL 80.952281 140.7158 \nL 80.542244 138.64976 \nL 80.401767 136.540282 \nL 80.548595 134.428557 \nL 80.9935 132.359853 \nL 81.739137 130.381691 \nL 82.779307 128.541576 \nL 84.098784 126.884531 \nL 85.673735 125.4506 \nL 87.472742 124.272597 \nL 89.458337 123.374354 \nL 91.588918 122.769664 \nL 93.820821 122.462013 \nL 96.110401 122.445093 \nL 98.41589 122.70396 \nL 100.698925 123.216714 \nL 102.925656 123.956425 \nL 105.067423 124.893118 \nL 107.101012 125.995609 \nL 109.008584 127.233057 \nL 110.777326 128.576202 \nL 112.398932 129.998208 \nL 113.868978 131.475182 \nL 115.186263 132.986404 \nL 116.352157 134.514329 \nL 117.369987 136.044439 \nL 118.98133 139.066594 \nL 120.066987 141.986056 \nL 120.677236 144.764503 \nL 120.858154 147.382621 \nL 120.647073 149.832505 \nL 120.070389 152.111905 \nL 119.142918 154.219925 \nL 117.868313 156.153642 \nL 116.240182 157.905216 \nL 114.243856 159.45908 \nL 111.858889 160.78886 \nL 109.062665 161.853852 \nL 107.503917 162.269423 \nL 105.835653 162.594969 \nL 104.05718 162.819508 \nL 102.169136 162.930392 \nL 100.173946 162.913207 \nL 98.076326 162.751737 \nL 95.883886 162.428008 \nL 93.60778 161.922444 \nL 91.263442 161.214193 \nL 88.871325 160.281639 \nL 86.45764 159.103205 \nL 84.055017 157.658467 \nL 81.702979 155.929643 \nL 79.448137 153.903475 \nL 77.343939 151.573495 \nL 75.44981 148.942572 \nL 73.829566 146.025611 \nL 72.548947 142.852056 \nL 71.672256 139.467899 \nL 71.258206 135.936638 \nL 71.355247 132.338742 \nL 71.996824 128.769221 \nL 73.197159 125.333049 \nL 74.948264 122.138695 \nL 77.21877 119.290209 \nL 79.954977 116.87892 \nL 83.084156 114.975925 \nL 86.519723 113.626476 \nL 90.167594 112.847293 \nL 93.932786 112.626982 \nL 97.725439 112.92945 \nL 101.46552 113.699447 \nL 105.085927 114.869223 \nL 108.533903 116.365216 \nL 111.771044 118.113934 \nL 114.772215 120.046465 \nL 117.523843 122.101483 \nL 120.021884 124.2268 \nL 122.269779 126.379777 \nL 124.276554 128.526892 \nL 126.055161 130.642803 \nL 127.621102 132.709168 \nL 130.18332 136.647468 \nL 132.101964 140.289961 \nL 133.50833 143.628744 \nL 134.517181 146.679076 \nL 135.223565 149.466636 \nL 135.876387 153.218285 \nL 136.198278 156.536276 \nL 136.304942 160.420116 \nL 136.168501 163.816762 \nL 135.83808 166.831686 \nL 135.30091 169.544439 \nL 134.727505 171.420164 \nL 133.961045 173.187409 \nL 132.939604 174.869821 \nL 132.075947 175.9555 \nL 131.028992 177.019655 \nL 129.758787 178.067421 \nL 128.216551 179.102068 \nL 126.342975 180.123529 \nL 124.066391 181.125987 \nL 121.301048 182.09401 \nL 117.945906 182.996465 \nL 113.884884 183.777094 \nL 108.990256 184.340261 \nL 106.189409 184.494669 \nL 103.132295 184.530083 \nL 99.805837 184.41286 \nL 96.200492 184.101543 \nL 92.312197 183.545625 \nL 88.144897 182.684387 \nL 83.713808 181.446038 \nL 79.049479 179.747465 \nL 74.202625 177.495069 \nL 69.249609 174.587376 \nL 64.298186 170.920231 \nL 59.492647 166.395585 \nL 55.017145 160.934744 \nL 51.095233 154.496492 \nL 47.98329 147.099456 \nL 45.955386 138.846233 \nL 45.278056 129.944239 \nL 46.175789 120.715776 \nL 48.791464 111.588722 \nL 53.150227 103.061345 \nL 59.137772 95.641362 \nL 66.502637 89.769164 \nL 74.885938 85.744189 \nL 83.872664 83.676299 \nL 93.050689 83.477272 \nL 102.061642 84.893588 \nL 110.632222 87.567444 \nL 118.583142 91.105696 \nL 125.820199 95.138164 \nL 132.315612 99.355134 \nL 138.087155 103.522933 \nL 143.179936 107.482566 \nL 151.569136 114.443994 \nL 168.08849 128.541836 \nL 171.578305 131.223206 \nL 174.511991 133.175391 \nL 176.497775 134.19338 \nL 177.458048 134.637799 \nL 177.428708 134.668124 \nL 176.506321 135.170736 \nL 175.583768 135.84361 \nL 175.136116 136.431073 \nL 175.130946 136.727145 \nL 175.380512 136.889456 \nL 175.858093 136.885921 \nL 176.676305 136.635067 \nL 177.560651 136.150368 \nL 178.280048 135.541143 \nL 178.588132 135.072702 \nL 178.573884 134.718836 \nL 178.337713 134.574223 \nL 177.754133 134.577751 \nL 176.954055 134.807869 \nL 175.863066 135.352713 \nL 174.945525 136.048661 \nL 174.501378 136.598942 \nL 174.399474 137.051108 \nL 174.564198 137.28177 \nL 174.92749 137.392677 \nL 175.676541 137.32828 \nL 176.635203 137.014058 \nL 177.663705 136.478596 \nL 178.592872 135.794087 \nL 179.246879 135.073182 \nL 179.465699 134.590615 \nL 179.406354 134.221363 \nL 179.060017 134.011651 \nL 178.452009 133.989314 \nL 177.337882 134.25634 \nL 176.064126 134.813761 \nL 174.85819 135.56152 \nL 173.924989 136.376372 \nL 173.413223 137.135091 \nL 173.356325 137.600354 \nL 173.590408 137.932118 \nL 174.102816 138.09806 \nL 174.861367 138.074819 \nL 175.814714 137.850645 \nL 177.264649 137.247516 \nL 178.718433 136.356149 \nL 179.921276 135.305723 \nL 180.503715 134.526037 \nL 180.712624 133.854546 \nL 180.6173 133.510196 \nL 180.329437 133.27338 \nL 179.857332 133.158698 \nL 178.848975 133.229139 \nL 177.577456 133.579868 \nL 176.180395 134.167624 \nL 174.3757 135.203658 \nL 173.236601 136.07097 \nL 172.394247 136.93333 \nL 171.914376 137.724393 \nL 171.813787 138.183108 \nL 171.892975 138.568747 \nL 172.150037 138.867335 \nL 172.578553 139.066349 \nL 173.51808 139.154975 \nL 174.76316 138.968437 \nL 176.234535 138.495346 \nL 177.826013 137.746953 \nL 179.403546 136.764605 \nL 180.809292 135.625486 \nL 181.874143 134.442843 \nL 182.315427 133.698845 \nL 182.496627 133.041741 \nL 182.392829 132.51311 \nL 181.995621 132.147786 \nL 181.315436 131.97 \nL 180.381874 131.990778 \nL 179.241686 132.20709 \nL 177.276999 132.86043 \nL 175.210993 133.822843 \nL 173.265858 134.978757 \nL 171.625772 136.214008 \nL 170.421212 137.429282 \nL 169.900044 138.187218 \nL 169.618868 138.878669 \nL 169.581861 139.484657 \nL 169.787473 139.987439 \nL 170.229503 140.370132 \nL 170.897692 140.616661 \nL 171.777792 140.712028 \nL 172.851119 140.642946 \nL 174.093675 140.398837 \nL 176.205912 139.691855 \nL 178.490771 138.582715 \nL 180.762828 137.121626 \nL 182.156894 136.003683 \nL 183.364202 134.826072 \nL 184.30455 133.650387 \nL 184.902414 132.547354 \nL 185.095377 131.590966 \nL 185.026323 131.189842 \nL 184.843099 130.850496 \nL 184.545396 130.579384 \nL 184.135098 130.381587 \nL 182.995341 130.218374 \nL 181.482051 130.368741 \nL 179.682218 130.814214 \nL 177.701753 131.514568 \nL 175.653419 132.415696 \nL 172.686276 134.015019 \nL 170.106684 135.749611 \nL 168.705886 136.908199 \nL 167.604093 138.030026 \nL 166.820511 139.089584 \nL 166.362209 140.06547 \nL 166.227889 140.938291 \nL 166.410955 141.689053 \nL 166.901721 142.298212 \nL 167.68859 142.745246 \nL 168.758295 143.008743 \nL 170.095205 143.066908 \nL 171.679784 142.898587 \nL 173.486295 142.484875 \nL 175.479845 141.811392 \nL 177.613026 140.871451 \nL 179.8225 139.670055 \nL 182.026211 138.228604 \nL 184.122151 136.589713 \nL 185.989983 134.821068 \nL 187.49683 133.016694 \nL 188.508285 131.293638 \nL 188.789729 130.503257 \nL 188.904631 129.78239 \nL 188.843543 129.146795 \nL 188.600389 128.61079 \nL 188.172961 128.186582 \nL 187.563258 127.883652 \nL 186.777662 127.708277 \nL 185.826877 127.663198 \nL 184.725662 127.747516 \nL 182.148106 128.283418 \nL 179.221248 129.245463 \nL 176.140279 130.531474 \nL 173.092412 132.030075 \nL 170.23605 133.639994 \nL 167.689626 135.281331 \nL 165.529967 136.898097 \nL 163.797482 138.45451 \nL 162.504803 139.928482 \nL 161.646082 141.305097 \nL 161.205194 142.571507 \nL 161.162084 143.71366 \nL 161.497111 144.714511 \nL 162.193565 145.553263 \nL 163.238653 146.205215 \nL 164.623198 146.64191 \nL 166.340202 146.831508 \nL 168.382326 146.739509 \nL 170.738226 146.330018 \nL 173.387646 145.567995 \nL 176.295184 144.422997 \nL 179.402819 142.87498 \nL 182.621724 140.922649 \nL 185.824577 138.594282 \nL 188.840629 135.960155 \nL 191.457021 133.143699 \nL 192.539956 131.721686 \nL 193.430677 130.326569 \nL 194.098376 128.988896 \nL 194.514466 127.740868 \nL 194.654158 126.615008 \nL 194.498075 125.642547 \nL 194.033824 124.851607 \nL 193.257306 124.26538 \nL 192.173645 123.900436 \nL 190.79756 123.765438 \nL 189.153116 123.860398 \nL 187.27278 124.176664 \nL 185.195881 124.697628 \nL 182.9666 125.400116 \nL 178.238055 127.235797 \nL 173.451255 129.443649 \nL 168.91474 131.805211 \nL 164.847765 134.162 \nL 161.375537 136.423522 \nL 158.544348 138.553765 \nL 156.344908 140.549708 \nL 154.735254 142.422075 \nL 153.659042 144.182476 \nL 153.058299 145.836882 \nL 152.881302 147.383476 \nL 153.086837 148.812874 \nL 153.645994 150.109142 \nL 154.542407 151.250777 \nL 155.771563 152.211201 \nL 157.339525 152.958705 \nL 159.26118 153.455861 \nL 161.557929 153.658648 \nL 164.254496 153.515537 \nL 167.374394 152.966996 \nL 170.933289 151.946145 \nL 174.929431 150.381666 \nL 179.3302 148.204615 \nL 181.659369 146.86848 \nL 184.054209 145.361294 \nL 186.493338 143.68223 \nL 188.949498 141.834618 \nL 191.388902 139.82716 \nL 193.770751 137.6752 \nL 196.047039 135.40202 \nL 198.162769 133.039995 \nL 200.05676 130.631394 \nL 201.663196 128.228634 \nL 202.914021 125.893633 \nL 203.742291 123.696082 \nL 204.08638 121.710339 \nL 203.894849 120.010973 \nL 203.131546 118.667075 \nL 201.78034 117.735912 \nL 199.848735 117.256734 \nL 197.369637 117.245732 \nL 194.400717 117.693248 \nL 191.021162 118.563965 \nL 187.326084 119.800384 \nL 183.419357 121.329036 \nL 179.40591 123.068407 \nL 171.442602 126.861486 \nL 164.066755 130.645738 \nL 157.652068 134.110881 \nL 152.334869 137.161709 \nL 148.085284 139.839156 \nL 144.781636 142.238129 \nL 142.265832 144.453944 \nL 140.377155 146.55869 \nL 138.969692 148.597085 \nL 137.919338 150.591339 \nL 137.124867 152.548432 \nL 136.242159 155.409641 \nL 133.481992 165.654116 \nL 132.495383 167.89144 \nL 131.68519 169.319452 \nL 130.719233 170.701583 \nL 129.563048 172.041739 \nL 128.175749 173.342615 \nL 126.508555 174.604457 \nL 124.503294 175.823227 \nL 122.091001 176.987774 \nL 119.190889 178.075539 \nL 115.710285 179.046064 \nL 111.546554 179.83135 \nL 109.175026 180.122425 \nL 106.592926 180.321921 \nL 103.788358 180.406509 \nL 100.751393 180.347551 \nL 97.475241 180.110226 \nL 93.957783 179.652656 \nL 90.203568 178.925132 \nL 86.226304 177.869586 \nL 82.051902 176.419536 \nL 77.722069 174.500859 \nL 73.298301 172.033818 \nL 68.866027 168.936886 \nL 64.538338 165.133032 \nL 60.458474 160.558983 \nL 56.799862 155.177783 \nL 53.762141 148.994286 \nL 51.561646 142.072179 \nL 50.415169 134.549616 \nL 50.517014 126.649036 \nL 52.011429 118.675661 \nL 54.964972 110.999885 \nL 59.34542 104.021664 \nL 65.014178 98.120536 \nL 71.736709 93.600893 \nL 79.210495 90.646164 \nL 87.104436 89.294598 \nL 95.09988 89.443228 \nL 102.923685 90.877371 \nL 110.367459 93.315516 \nL 117.292201 96.456579 \nL 123.621727 100.018639 \nL 129.329944 103.76365 \nL 134.4266 107.507943 \nL 138.944494 111.121721 \nL 142.929479 114.521889 \nL 149.509469 120.522995 \nL 158.52214 129.287255 \nL 162.970883 133.534069 \nL 165.303259 135.531057 \nL 167.330599 136.993482 \nL 169.175325 138.005399 \nL 170.923105 138.629684 \nL 172.628868 138.913723 \nL 174.321462 138.894741 \nL 176.007144 138.604632 \nL 177.672205 138.074373 \nL 179.285176 137.337945 \nL 180.799181 136.435655 \nL 182.154986 135.416517 \nL 183.285349 134.339215 \nL 184.120959 133.271087 \nL 184.598025 132.284719 \nL 184.666857 131.452185 \nL 184.538618 131.114157 \nL 184.300303 130.837541 \nL 183.953128 130.627796 \nL 182.947307 130.423561 \nL 181.571161 130.514989 \nL 179.902636 130.890555 \nL 178.039309 131.517139 \nL 175.11148 132.820602 \nL 172.324763 134.396329 \nL 169.950293 136.075615 \nL 168.687688 137.186222 \nL 167.719183 138.25418 \nL 167.060765 139.255344 \nL 166.71772 140.168904 \nL 166.687937 140.975571 \nL 166.964562 141.656297 \nL 167.537765 142.191521 \nL 168.395596 142.560937 \nL 169.523918 142.743735 \nL 170.905507 142.719278 \nL 172.518358 142.468299 \nL 174.333314 141.974688 \nL 176.311179 141.227994 \nL 178.399587 140.226699 \nL 180.530073 138.98223 \nL 182.61612 137.523393 \nL 184.5531 135.90048 \nL 186.221405 134.187904 \nL 187.49382 132.483671 \nL 188.247742 130.903997 \nL 188.397208 130.199513 \nL 188.38161 129.572038 \nL 188.194532 129.03532 \nL 187.833046 128.601293 \nL 187.298054 128.279532 \nL 186.594491 128.076759 \nL 185.731321 127.996525 \nL 184.721341 128.039053 \nL 182.328772 128.477098 \nL 179.576831 129.332531 \nL 176.647364 130.514591 \nL 173.719163 131.920133 \nL 170.94763 133.451887 \nL 168.452753 135.030223 \nL 166.315916 136.597021 \nL 164.583418 138.113405 \nL 163.273837 139.554318 \nL 162.386495 140.902554 \nL 161.90927 142.143822 \nL 161.82485 143.26338 \nL 162.115148 144.244079 \nL 162.763973 145.065465 \nL 163.758201 145.703511 \nL 165.08763 146.130738 \nL 166.743714 146.316618 \nL 168.717192 146.228336 \nL 170.994626 145.832121 \nL 173.553754 145.095518 \nL 176.357635 143.991046 \nL 179.347738 142.501775 \nL 182.436487 140.629132 \nL 185.500485 138.402892 \nL 188.376515 135.892307 \nL 190.863475 133.215768 \nL 191.890469 131.866853 \nL 192.734057 130.544618 \nL 193.365754 129.277464 \nL 193.759241 128.095203 \nL 193.891772 127.027849 \nL 193.745644 126.104159 \nL 193.309575 125.350031 \nL 192.579879 124.786864 \nL 191.561284 124.430083 \nL 190.267264 124.288001 \nL 188.719811 124.361127 \nL 186.94862 124.642169 \nL 184.989737 125.116589 \nL 180.673861 126.558973 \nL 176.115121 128.482511 \nL 171.634876 130.67054 \nL 167.487888 132.942852 \nL 163.843286 135.178225 \nL 160.788527 137.312684 \nL 158.346819 139.323692 \nL 156.498538 141.211369 \nL 155.200611 142.983428 \nL 154.401316 144.645891 \nL 154.0503 146.198781 \nL 154.104581 147.634957 \nL 154.53164 148.940489 \nL 155.310517 150.095492 \nL 156.431651 151.074699 \nL 157.895871 151.847654 \nL 159.712789 152.378406 \nL 161.898533 152.624913 \nL 164.472624 152.538417 \nL 167.45359 152.06317 \nL 170.852687 151.137245 \nL 174.665009 149.695384 \nL 178.857216 147.67533 \nL 183.35145 145.029521 \nL 185.670605 143.465621 \nL 188.006019 141.744101 \nL 190.326717 139.872982 \nL 192.595478 137.866196 \nL 194.768664 135.744703 \nL 196.796415 133.53747 \nL 198.623354 131.282187 \nL 200.189896 129.025488 \nL 201.434309 126.822459 \nL 202.295554 124.735209 \nL 202.716873 122.830332 \nL 202.649963 121.175204 \nL 202.059405 119.833233 \nL 200.926829 118.858501 \nL 199.254277 118.290357 \nL 197.066094 118.148852 \nL 194.408851 118.431877 \nL 191.349111 119.114654 \nL 187.96909 120.15198 \nL 184.360803 121.48287 \nL 180.619482 123.036984 \nL 173.097316 126.528269 \nL 166.014736 130.122333 \nL 159.764609 133.496236 \nL 154.520248 136.521374 \nL 150.290126 139.205326 \nL 146.984086 141.619469 \nL 144.466927 143.846254 \nL 142.593466 145.952574 \nL 141.22808 147.982135 \nL 140.253692 149.957817 \nL 139.574411 151.887503 \nL 139.114726 153.769997 \nL 138.715164 156.492463 \nL 138.549278 159.072724 \nL 138.558815 162.259899 \nL 138.752922 165.135526 \nL 139.110657 167.691444 \nL 139.658792 169.926626 \nL 140.233734 171.390245 \nL 140.997386 172.664632 \nL 141.641198 173.402605 \nL 142.419886 174.043722 \nL 143.362633 174.578246 \nL 144.505091 174.992496 \nL 145.89067 175.267518 \nL 147.571996 175.377293 \nL 149.612474 175.286281 \nL 152.087791 174.946125 \nL 155.087025 174.291276 \nL 158.712715 173.233372 \nL 163.078692 171.654426 \nL 168.303587 169.399469 \nL 171.273227 167.95839 \nL 174.49649 166.270601 \nL 177.981004 164.304651 \nL 181.729242 162.02716 \nL 185.736354 159.403903 \nL 189.987428 156.40157 \nL 194.454147 152.990423 \nL 199.09084 149.148136 \nL 203.830029 144.865005 \nL 208.577731 140.150765 \nL 213.209 135.042925 \nL 217.564553 129.616279 \nL 221.449741 123.992523 \nL 224.637515 118.348136 \nL 226.877409 112.917545 \nL 227.912422 107.987649 \nL 227.504855 103.879535 \nL 225.470096 100.91447 \nL 221.714018 99.365136 \nL 216.265806 99.399449 \nL 209.29526 101.031567 \nL 201.104882 104.098284 \nL 192.093572 108.275006 \nL 182.699078 113.132018 \nL 155.958481 127.561933 \nL 148.323523 131.36191 \nL 141.489998 134.464686 \nL 135.449481 136.8945 \nL 130.155257 138.725184 \nL 125.5408 140.052455 \nL 121.532533 140.974678 \nL 118.057612 141.58172 \nL 115.04811 141.949912 \nL 110.187969 142.203068 \nL 106.548135 142.077494 \nL 103.82658 141.766362 \nL 100.998482 141.162883 \nL 99.240791 140.529852 \nL 98.231941 139.941052 \nL 97.76162 139.442124 \nL 97.681271 139.06934 \nL 97.874872 138.850827 \nL 98.243555 138.802864 \nL 98.856786 139.004117 \nL 99.445511 139.468983 \nL 99.867818 140.116457 \nL 100.027996 140.840253 \nL 99.946698 141.364074 \nL 99.690361 141.819342 \nL 99.273354 142.163849 \nL 98.724415 142.362471 \nL 98.085492 142.3897 \nL 97.409879 142.232383 \nL 96.759255 141.892599 \nL 96.199038 141.390143 \nL 95.79199 140.763744 \nL 95.590377 140.069902 \nL 95.627833 139.378466 \nL 95.912682 138.764795 \nL 96.424644 138.299549 \nL 97.116141 138.038202 \nL 97.918296 138.012837 \nL 98.750269 138.228226 \nL 99.529672 138.662785 \nL 100.181845 139.273442 \nL 100.646584 140.002538 \nL 100.881852 140.784854 \nL 100.865113 141.553449 \nL 100.593171 142.243894 \nL 100.08149 142.797152 \nL 99.363605 143.161905 \nL 98.490682 143.297066 \nL 97.530779 143.175186 \nL 96.566885 142.786943 \nL 95.69256 142.146352 \nL 95.004192 141.295319 \nL 94.58961 140.305438 \nL 94.499 139.615911 \nL 94.570956 138.941493 \nL 94.808012 138.317083 \nL 95.20347 137.776372 \nL 95.74145 137.349268 \nL 96.397797 137.059569 \nL 97.141739 136.923177 \nL 97.938091 136.947154 \nL 98.749672 137.12963 \nL 99.915754 137.676607 \nL 100.921671 138.49495 \nL 101.677666 139.501979 \nL 102.121278 140.605583 \nL 102.225146 141.34919 \nL 102.170154 142.068339 \nL 101.956993 142.738221 \nL 101.590744 143.335606 \nL 101.080742 143.838919 \nL 100.440575 144.228362 \nL 99.688221 144.486128 \nL 98.846247 144.596816 \nL 97.941998 144.548125 \nL 97.007631 144.331802 \nL 96.079838 143.944895 \nL 95.1991 143.391155 \nL 94.408339 142.682476 \nL 93.750828 141.840096 \nL 93.267427 140.895211 \nL 92.993264 139.888675 \nL 92.954243 138.869467 \nL 93.163844 137.891811 \nL 93.620818 137.01112 \nL 94.308272 136.279217 \nL 95.194426 135.739536 \nL 96.235081 135.423178 \nL 97.377378 135.346449 \nL 98.564245 135.510278 \nL 99.738834 135.90142 \nL 100.848317 136.495055 \nL 101.846627 137.258107 \nL 102.696045 138.152649 \nL 103.3677 139.138904 \nL 103.841234 140.177508 \nL 104.103969 141.230967 \nL 104.149864 142.26438 \nL 103.978505 143.245576 \nL 103.594324 144.144875 \nL 103.006158 144.934667 \nL 102.22719 145.588955 \nL 101.275265 146.083059 \nL 100.173542 146.393637 \nL 98.951362 146.499103 \nL 97.645174 146.380617 \nL 96.299279 146.023714 \nL 94.966083 145.420631 \nL 93.705486 144.573173 \nL 92.58304 143.495896 \nL 91.666557 142.219068 \nL 91.021107 140.790615 \nL 90.702699 139.276203 \nL 90.751342 137.756611 \nL 91.184767 136.322019 \nL 91.994133 135.063609 \nL 93.142978 134.063656 \nL 94.569981 133.386152 \nL 96.195167 133.069927 \nL 97.928363 133.125745 \nL 99.678164 133.537742 \nL 101.359762 134.268399 \nL 102.900511 135.265469 \nL 104.242837 136.4692 \nL 105.344715 137.818464 \nL 106.178386 139.255143 \nL 106.728024 140.726597 \nL 106.98708 142.186526 \nL 106.955786 143.594611 \nL 106.639169 144.91545 \nL 106.045759 146.117097 \nL 105.187043 147.169556 \nL 104.077702 148.043404 \nL 102.736562 148.708721 \nL 101.188225 149.134541 \nL 99.465237 149.288981 \nL 97.610605 149.140373 \nL 95.6803 148.659605 \nL 93.745243 147.823995 \nL 91.891996 146.622777 \nL 90.221243 145.063941 \nL 89.48854 144.159855 \nL 88.843057 143.181565 \nL 88.298613 142.138446 \nL 87.868334 141.042122 \nL 87.564184 139.906446 \nL 87.396502 138.747335 \nL 87.373519 137.58253 \nL 87.500924 136.43117 \nL 87.781486 135.313295 \nL 88.214789 134.249207 \nL 88.797079 133.258793 \nL 89.521272 132.360788 \nL 90.377093 131.57208 \nL 91.35139 130.907066 \nL 92.428561 130.377161 \nL 93.591095 129.990404 \nL 94.820178 129.751313 \nL 96.096323 129.660864 \nL 97.399995 129.716685 \nL 98.712169 129.913383 \nL 100.014834 130.242988 \nL 101.291368 130.695471 \nL 102.526841 131.259291 \nL 104.824227 132.670376 \nL 106.825493 134.372833 \nL 108.478259 136.267529 \nL 109.754637 138.267194 \nL 110.645104 140.299481 \nL 111.15235 142.306748 \nL 111.286007 144.243836 \nL 111.058638 146.074985 \nL 110.483117 147.770478 \nL 109.571333 149.303478 \nL 108.334083 150.647123 \nL 106.782105 151.772027 \nL 104.928176 152.64415 \nL 102.790308 153.22328 \nL 100.396025 153.46226 \nL 97.787669 153.307575 \nL 96.421981 153.064716 \nL 95.028455 152.701899 \nL 93.619262 152.21226 \nL 92.20859 151.589591 \nL 90.812736 150.828739 \nL 89.45013 149.926067 \nL 88.141256 148.879993 \nL 86.908463 147.691564 \nL 85.775621 146.365071 \nL 84.767615 144.908615 \nL 83.90967 143.334654 \nL 83.226493 141.660359 \nL 82.741278 139.907819 \nL 82.474595 138.103947 \nL 82.443231 136.280055 \nL 82.65909 134.47108 \nL 83.128219 132.714419 \nL 83.850089 131.048446 \nL 84.817207 129.51079 \nL 86.015135 128.136503 \nL 87.42294 126.956286 \nL 89.014047 125.994967 \nL 90.75743 125.270318 \nL 92.619059 124.792417 \nL 94.563425 124.563509 \nL 96.555057 124.578446 \nL 98.559892 124.825531 \nL 100.546403 125.287726 \nL 102.486454 125.944048 \nL 104.355817 126.770972 \nL 106.134435 127.743779 \nL 107.806411 128.837729 \nL 109.359812 130.028994 \nL 110.786313 131.295353 \nL 112.080763 132.616645 \nL 113.240704 133.975015 \nL 114.26588 135.354981 \nL 115.919127 138.12922 \nL 117.065537 140.858855 \nL 117.739657 143.490968 \nL 117.977173 145.992666 \nL 117.809477 148.344148 \nL 117.260582 150.53296 \nL 116.345802 152.549369 \nL 115.071737 154.382591 \nL 113.437278 156.017527 \nL 111.435541 157.431715 \nL 109.056811 158.592246 \nL 106.292822 159.452615 \nL 104.765605 159.751206 \nL 103.142785 159.949576 \nL 101.426804 160.036786 \nL 99.621773 160.000607 \nL 97.733893 159.827554 \nL 95.771921 159.503013 \nL 93.747673 159.011454 \nL 91.676556 158.336783 \nL 89.578067 157.462851 \nL 87.476279 156.374192 \nL 85.40021 155.056965 \nL 83.38402 153.500149 \nL 81.466956 151.697009 \nL 79.692942 149.64673 \nL 78.109742 147.356218 \nL 76.76757 144.84186 \nL 75.717128 142.131089 \nL 75.007107 139.263471 \nL 74.681192 136.29103 \nL 74.774834 133.27754 \nL 75.312035 130.296529 \nL 76.302588 127.428002 \nL 77.740132 124.753945 \nL 79.601396 122.353028 \nL 81.846873 120.295075 \nL 84.422927 118.636014 \nL 87.26513 117.413986 \nL 90.302441 116.647215 \nL 93.461683 116.333833 \nL 96.671797 116.453586 \nL 99.867416 116.971104 \nL 102.991473 117.840059 \nL 105.996742 119.007643 \nL 108.846398 120.418753 \nL 111.513738 122.019515 \nL 113.981324 123.759909 \nL 116.239765 125.595445 \nL 118.286343 127.488032 \nL 120.123631 129.406139 \nL 121.758202 131.324516 \nL 123.199486 133.223584 \nL 124.4588 135.088696 \nL 126.481605 138.678399 \nL 127.928489 142.046051 \nL 128.89562 145.178355 \nL 129.465961 148.081603 \nL 129.706123 150.772077 \nL 129.665844 153.270125 \nL 129.378855 155.596705 \nL 128.864327 157.771412 \nL 128.128386 159.811374 \nL 127.165426 161.730543 \nL 125.959095 163.539106 \nL 124.482928 165.242724 \nL 122.700734 166.841341 \nL 120.566866 168.327341 \nL 118.02671 169.682699 \nL 115.017819 170.874733 \nL 111.472489 171.849998 \nL 109.477263 172.231946 \nL 107.322964 172.525874 \nL 105.002697 172.71509 \nL 102.511143 172.779585 \nL 99.84531 172.695601 \nL 97.005469 172.435225 \nL 93.996329 171.966072 \nL 90.828457 171.251138 \nL 87.519947 170.248914 \nL 84.098345 168.913932 \nL 80.602717 167.197956 \nL 77.085775 165.05197 \nL 73.615792 162.429315 \nL 70.277989 159.290127 \nL 67.174871 155.607196 \nL 64.42495 151.37322 \nL 62.159186 146.608946 \nL 60.514548 141.371341 \nL 59.6245 135.760264 \nL 59.606639 129.92167 \nL 60.548674 124.045226 \nL 62.49475 118.354545 \nL 65.434876 113.089693 \nL 69.300199 108.483408 \nL 73.966085 104.734737 \nL 79.263241 101.985294 \nL 84.995147 100.303366 \nL 90.958285 99.679451 \nL 96.961243 100.033784 \nL 102.83935 101.233306 \nL 108.463145 103.113527 \nL 113.740727 105.50036 \nL 118.615293 108.22806 \nL 123.059767 111.151298 \nL 127.070286 114.151295 \nL 130.659815 117.137003 \nL 133.852636 120.042945 \nL 136.679972 122.825325 \nL 141.379046 127.925622 \nL 145.043177 132.357 \nL 149.177642 137.810637 \nL 153.276099 143.188327 \nL 155.08884 145.197953 \nL 156.906035 146.809152 \nL 158.81949 148.043928 \nL 160.903038 148.90987 \nL 163.21585 149.401145 \nL 165.803964 149.499774 \nL 168.699697 149.177399 \nL 171.918585 148.398079 \nL 175.453531 147.122896 \nL 179.265941 145.317436 \nL 183.274089 142.963389 \nL 187.33989 140.075148 \nL 189.332819 138.449349 \nL 191.257023 136.721215 \nL 193.075185 134.911599 \nL 194.745828 133.047413 \nL 196.224131 131.161879 \nL 197.463199 129.294324 \nL 198.415819 127.489475 \nL 199.036726 125.796066 \nL 199.285281 124.264731 \nL 199.12841 122.945224 \nL 198.543554 121.883088 \nL 197.521307 121.116102 \nL 196.067366 120.670907 \nL 194.20347 120.560295 \nL 191.967025 120.781682 \nL 189.409384 121.317065 \nL 186.592852 122.134607 \nL 183.586777 123.191667 \nL 177.292563 125.824403 \nL 171.062703 128.816329 \nL 165.312126 131.843626 \nL 160.294565 134.711487 \nL 156.115321 137.345752 \nL 152.77113 139.751767 \nL 150.193771 141.970765 \nL 148.28518 144.049321 \nL 146.941161 146.023928 \nL 146.065277 147.91644 \nL 145.575789 149.735332 \nL 145.408186 151.479054 \nL 145.51521 153.139473 \nL 145.865653 154.704465 \nL 146.442708 156.15946 \nL 147.242355 157.488037 \nL 148.271988 158.671758 \nL 149.549387 159.689376 \nL 151.10199 160.515553 \nL 152.966363 161.119135 \nL 155.187644 161.461025 \nL 157.818654 161.491657 \nL 160.918119 161.148212 \nL 164.547228 160.351854 \nL 168.763321 159.005688 \nL 173.608965 156.994879 \nL 176.272922 155.700476 \nL 179.094103 154.191513 \nL 182.064159 152.45223 \nL 185.168647 150.468588 \nL 188.385523 148.229669 \nL 191.683484 145.729498 \nL 195.020244 142.969332 \nL 198.340879 139.960387 \nL 201.576429 136.726948 \nL 204.643092 133.309615 \nL 207.442376 129.768368 \nL 209.862687 126.184824 \nL 211.782877 122.662978 \nL 213.078173 119.327396 \nL 213.628696 116.31803 \nL 213.330363 113.780869 \nL 212.107264 111.854532 \nL 209.923944 110.653846 \nL 206.795215 110.252864 \nL 202.791022 110.670808 \nL 198.034269 111.864896 \nL 192.691015 113.732844 \nL 186.954215 116.125621 \nL 181.024087 118.86802 \nL 169.310483 124.709204 \nL 149.720222 134.618207 \nL 132.473581 143.080319 \nL 129.078354 145.036049 \nL 126.387245 146.852783 \nL 124.168339 148.605286 \nL 121.3211 151.167589 \nL 117.70293 154.414633 \nL 115.742535 155.908422 \nL 113.580906 157.268924 \nL 111.16021 158.452672 \nL 108.434942 159.407143 \nL 105.373314 160.067579 \nL 103.711158 160.263106 \nL 101.961488 160.353592 \nL 100.126612 160.326108 \nL 98.211102 160.166529 \nL 96.222218 159.859618 \nL 94.170396 159.389197 \nL 92.069759 158.738472 \nL 89.938622 157.890499 \nL 87.799992 156.82887 \nL 85.681951 155.538636 \nL 83.617915 154.007466 \nL 81.646632 152.227087 \nL 79.811841 150.194955 \nL 78.161505 147.916072 \nL 76.746506 145.404848 \nL 75.618738 142.686768 \nL 74.828628 139.799672 \nL 74.422127 136.794263 \nL 74.437387 133.733615 \nL 74.90141 130.691393 \nL 75.82705 127.748701 \nL 77.210821 124.989636 \nL 79.031861 122.495912 \nL 81.252364 120.341079 \nL 83.819518 118.58519 \nL 86.668778 117.270471 \nL 89.728089 116.418828 \nL 92.922518 116.031297 \nL 96.178731 116.089592 \nL 99.428813 116.559247 \nL 102.613106 117.393873 \nL 105.681973 118.539806 \nL 108.596465 119.940524 \nL 111.328141 121.540386 \nL 113.858222 123.287482 \nL 116.17636 125.135501 \nL 118.279222 127.044683 \nL 120.169055 128.982071 \nL 121.852335 130.921242 \nL 123.338579 132.841694 \nL 124.639316 134.728081 \nL 126.735638 138.358172 \nL 128.246209 141.761659 \nL 129.27056 144.924528 \nL 129.894973 147.853228 \nL 130.189169 150.564617 \nL 130.205758 153.07981 \nL 129.981143 155.420618 \nL 129.537044 157.60755 \nL 128.882105 159.658758 \nL 128.013288 161.589408 \nL 126.916916 163.411222 \nL 125.56934 165.131911 \nL 123.937279 166.754275 \nL 121.977967 168.27473 \nL 119.639322 169.680999 \nL 116.86052 170.948546 \nL 113.573565 172.035366 \nL 109.706822 172.874573 \nL 107.534279 173.171199 \nL 105.192075 173.364352 \nL 102.674318 173.433755 \nL 99.977412 173.35526 \nL 97.101013 173.100402 \nL 94.049227 172.636044 \nL 90.832079 171.924168 \nL 87.467249 170.921951 \nL 83.982067 169.582269 \nL 80.415715 167.854845 \nL 76.821476 165.688254 \nL 73.268827 163.033111 \nL 69.844977 159.846626 \nL 66.655387 156.098718 \nL 63.822567 151.779628 \nL 61.482521 146.90857 \nL 59.778122 141.542504 \nL 58.849152 135.783428 \nL 58.819292 129.782068 \nL 59.781198 123.735654 \nL 61.781883 117.877771 \nL 64.811354 112.459886 \nL 68.797467 107.725971 \nL 73.609227 103.884331 \nL 79.068752 101.0822 \nL 84.969952 99.388877 \nL 91.10018 98.791267 \nL 97.260497 99.202301 \nL 103.280981 100.47948 \nL 109.029351 102.448453 \nL 114.412996 104.926251 \nL 119.375988 107.740108 \nL 123.893104 110.739884 \nL 127.9628 113.804055 \nL 131.600454 116.840509 \nL 134.832627 119.78393 \nL 137.692553 122.591429 \nL 142.443108 127.710245 \nL 146.14866 132.127178 \nL 155.459856 143.777438 \nL 157.313191 145.49733 \nL 159.223141 146.822757 \nL 161.270212 147.768366 \nL 163.517575 148.334893 \nL 166.013183 148.51074 \nL 168.789853 148.273994 \nL 171.863001 147.595398 \nL 175.225771 146.442883 \nL 178.841489 144.788621 \nL 182.633716 142.619566 \nL 186.475038 139.952187 \nL 188.357833 138.449369 \nL 190.177212 136.851055 \nL 191.899492 135.176106 \nL 193.487352 133.448657 \nL 194.900539 131.698321 \nL 196.096961 129.960022 \nL 197.034195 128.273408 \nL 197.671405 126.68169 \nL 197.971605 125.229913 \nL 197.904168 123.962647 \nL 197.447343 122.921236 \nL 196.59057 122.140799 \nL 195.336244 121.64735 \nL 193.700682 121.455408 \nL 191.714053 121.566468 \nL 189.419181 121.968658 \nL 186.86925 122.637732 \nL 184.124683 123.539276 \nL 181.249508 124.631875 \nL 175.359673 127.211294 \nL 169.654772 130.038219 \nL 164.469103 132.857269 \nL 159.996039 135.524275 \nL 156.30668 137.989793 \nL 153.385798 140.262865 \nL 151.168062 142.376739 \nL 149.566417 144.366167 \nL 148.491086 146.256459 \nL 147.860699 148.060613 \nL 147.60786 149.780582 \nL 147.68118 151.409966 \nL 148.045291 152.936556 \nL 148.679858 154.344117 \nL 149.578238 155.613272 \nL 150.746118 156.721512 \nL 152.200294 157.642509 \nL 153.967568 158.344874 \nL 156.083625 158.790407 \nL 158.591601 158.932025 \nL 161.539882 158.711496 \nL 164.978411 158.057325 \nL 168.952492 156.883477 \nL 173.492646 155.090225 \nL 175.976731 153.927534 \nL 178.598706 152.569278 \nL 181.349886 151.002697 \nL 184.216231 149.216768 \nL 187.177122 147.203389 \nL 190.204034 144.958897 \nL 193.259197 142.485908 \nL 196.294325 139.795497 \nL 199.249613 136.909609 \nL 202.053205 133.86355 \nL 204.621452 130.70826 \nL 206.860291 127.51195 \nL 208.668113 124.36055 \nL 209.940414 121.356284 \nL 210.576357 118.613731 \nL 210.487114 116.252911 \nL 209.605324 114.389451 \nL 207.894587 113.12238 \nL 205.35741 112.521375 \nL 202.039786 112.615582 \nL 198.030937 113.386863 \nL 193.45745 114.769555 \nL 188.472336 116.657613 \nL 183.240782 118.91809 \nL 177.925169 121.408106 \nL 167.602987 126.553284 \nL 141.70218 139.891229 \nL 137.377068 142.337548 \nL 134.032927 144.500138 \nL 131.423302 146.512775 \nL 129.331331 148.454401 \nL 127.575272 150.361955 \nL 121.323758 157.641686 \nL 119.49171 159.292493 \nL 117.411599 160.827693 \nL 115.025058 162.214312 \nL 112.277885 163.409776 \nL 109.121244 164.357315 \nL 107.376473 164.715137 \nL 105.515587 164.9804 \nL 103.536332 165.139431 \nL 101.438247 165.17657 \nL 99.223178 165.074016 \nL 96.895908 164.811769 \nL 94.46489 164.367646 \nL 91.943083 163.717475 \nL 89.348862 162.835485 \nL 86.706982 161.695003 \nL 84.04951 160.269501 \nL 81.41666 158.534109 \nL 78.857352 156.467643 \nL 76.429358 154.055164 \nL 74.198817 151.291062 \nL 72.238862 148.182511 \nL 70.627204 144.752997 \nL 69.442494 141.045485 \nL 68.759499 137.124631 \nL 68.643308 133.077321 \nL 69.143103 129.010868 \nL 70.28618 125.048368 \nL 72.073247 121.321211 \nL 74.475864 117.959224 \nL 77.436805 115.07967 \nL 80.873508 112.776673 \nL 84.684349 111.112912 \nL 88.756757 110.114961 \nL 92.975965 109.773061 \nL 97.233079 110.045073 \nL 101.431451 110.863687 \nL 105.490801 112.145298 \nL 109.34904 113.799004 \nL 112.962108 115.734486 \nL 116.302423 117.867935 \nL 119.356481 120.125844 \nL 122.122143 122.446836 \nL 124.605963 124.781883 \nL 126.820788 127.093502 \nL 128.783717 129.354302 \nL 130.514463 131.545298 \nL 133.363944 135.674049 \nL 135.538015 139.436349 \nL 137.1937 142.835412 \nL 138.467464 145.896557 \nL 139.904637 149.927718 \nL 142.402038 157.249495 \nL 143.533483 159.667766 \nL 144.405924 161.067945 \nL 145.413874 162.300404 \nL 146.594086 163.360374 \nL 147.986801 164.236802 \nL 149.637341 164.91138 \nL 151.597467 165.357046 \nL 153.926349 165.535923 \nL 156.690931 165.396619 \nL 159.965158 164.870919 \nL 163.827236 163.870132 \nL 168.353499 162.281793 \nL 170.886327 161.22523 \nL 173.606722 159.968322 \nL 176.517085 158.490547 \nL 179.61577 156.770815 \nL 182.895692 154.788293 \nL 186.342656 152.523631 \nL 189.93339 149.960669 \nL 193.633325 147.088751 \nL 197.394202 143.905698 \nL 201.151676 140.421503 \nL 204.82317 136.662632 \nL 208.306423 132.676712 \nL 211.479269 128.537126 \nL 214.201412 124.346627 \nL 216.318948 120.238864 \nL 217.672432 116.376229 \nL 218.10884 112.942515 \nL 217.497228 110.129163 \nL 215.746639 108.115117 \nL 212.823653 107.042057 \nL 208.765726 106.989297 \nL 203.686168 107.954479 \nL 197.767772 109.846455 \nL 191.244751 112.494389 \nL 184.376111 115.672515 \nL 170.589904 122.649582 \nL 157.994472 129.138186 \nL 147.39096 134.306441 \nL 138.912611 138.084102 \nL 129.621813 141.857853 \nL 123.331115 144.423292 \nL 120.230224 145.851971 \nL 116.545671 147.829909 \nL 110.437802 151.335422 \nL 108.351519 152.272817 \nL 106.127351 153.021193 \nL 103.733317 153.527293 \nL 101.15994 153.732672 \nL 98.422029 153.574345 \nL 95.562096 152.986967 \nL 94.108286 152.51242 \nL 92.654634 151.907614 \nL 91.216072 151.166473 \nL 89.809874 150.284396 \nL 88.455594 149.258779 \nL 87.17487 148.089579 \nL 85.9911 146.779941 \nL 84.928967 145.336784 \nL 84.013773 143.771363 \nL 83.2706 142.0997 \nL 82.723309 140.342827 \nL 82.393438 138.526788 \nL 82.298992 136.682288 \nL 82.453297 134.843982 \nL 82.863953 133.049392 \nL 83.532017 131.337453 \nL 84.451514 129.746783 \nL 85.60935 128.313836 \nL 86.985666 127.071048 \nL 88.554607 126.045169 \nL 90.285497 125.255983 \nL 92.14424 124.715516 \nL 94.094903 124.427765 \nL 96.10127 124.38903 \nL 98.128291 124.588703 \nL 100.143294 125.01044 \nL 102.116918 125.633563 \nL 104.023721 126.434507 \nL 105.842488 127.388238 \nL 107.556278 128.469479 \nL 109.152245 129.653739 \nL 110.621309 130.918055 \nL 111.957713 132.241513 \nL 113.158547 133.605524 \nL 114.223231 134.99393 \nL 115.950624 137.791141 \nL 117.164407 140.548829 \nL 117.899661 143.211552 \nL 118.193224 145.744982 \nL 118.077907 148.128738 \nL 117.579165 150.350423 \nL 116.713599 152.400866 \nL 115.488817 154.270252 \nL 113.904312 155.944853 \nL 111.953259 157.403931 \nL 109.625284 158.616692 \nL 106.910482 159.539094 \nL 105.406418 159.87322 \nL 103.80514 160.110602 \nL 102.10846 160.240624 \nL 100.319729 160.251359 \nL 98.444248 160.129558 \nL 96.489727 159.860756 \nL 94.466792 159.42942 \nL 92.389509 158.81927 \nL 90.275935 158.013714 \nL 88.148621 156.996518 \nL 86.035049 155.752675 \nL 83.967913 154.269533 \nL 81.985188 152.538192 \nL 80.129876 150.555133 \nL 78.449315 148.324008 \nL 76.993986 145.857509 \nL 75.815734 143.179089 \nL 74.965393 140.324315 \nL 74.489874 137.341532 \nL 74.428897 134.291586 \nL 74.811639 131.246275 \nL 75.653652 128.285452 \nL 76.954505 125.492821 \nL 78.696537 122.950698 \nL 80.845005 120.734305 \nL 83.349753 118.906287 \nL 86.148263 117.512215 \nL 89.169714 116.577705 \nL 92.339575 116.107523 \nL 95.584124 116.086763 \nL 98.834404 116.483734 \nL 102.029256 117.254042 \nL 105.117251 118.345195 \nL 108.057567 119.70106 \nL 110.819933 121.265767 \nL 113.383908 122.986717 \nL 115.737695 124.816593 \nL 117.876764 126.714491 \nL 119.802404 128.646284 \nL 121.520369 130.584432 \nL 123.039648 132.507427 \nL 124.371421 134.399049 \nL 126.52308 138.044869 \nL 128.079765 141.467687 \nL 129.141592 144.650802 \nL 129.795971 147.599134 \nL 130.113958 150.328762 \nL 130.149499 152.860489 \nL 129.940225 155.216056 \nL 129.508937 157.416068 \nL 128.865206 159.478813 \nL 128.006791 161.419646 \nL 126.92071 163.250479 \nL 125.583937 164.979226 \nL 123.963772 166.608911 \nL 122.018013 168.136224 \nL 119.695139 169.549238 \nL 116.934881 170.823914 \nL 113.669761 171.918974 \nL 109.828558 172.768589 \nL 107.67024 173.071692 \nL 105.343213 173.272489 \nL 102.841524 173.350997 \nL 100.161456 173.283412 \nL 97.302474 173.04166 \nL 94.268392 172.593043 \nL 91.068825 171.900022 \nL 87.720886 170.920273 \nL 84.251168 169.607165 \nL 80.697911 167.910837 \nL 77.113243 165.780166 \nL 73.565263 163.165828 \nL 70.139625 160.024735 \nL 66.940119 156.326028 \nL 64.087619 152.05851 \nL 61.716699 147.239217 \nL 59.969286 141.922122 \nL 58.984988 136.205548 \nL 58.88835 130.236114 \nL 59.774136 124.206978 \nL 61.692708 118.348371 \nL 64.638427 112.909795 \nL 68.544033 108.135271 \nL 73.283271 104.235398 \nL 78.682172 101.361761 \nL 84.537187 99.589448 \nL 90.6366 98.911602 \nL 96.780861 99.246898 \nL 102.798262 100.457283 \nL 108.554033 102.371167 \nL 113.952848 104.806643 \nL 118.936187 107.590622 \nL 123.476609 110.571678 \nL 127.570794 113.626491 \nL 131.2328 116.661017 \nL 134.488252 119.60812 \nL 137.36977 122.423333 \nL 142.157137 127.564874 \nL 145.89029 132.008953 \nL 151.260907 138.956482 \nL 154.298407 142.737941 \nL 156.155921 144.691039 \nL 158.018042 146.236708 \nL 159.976255 147.397564 \nL 162.102972 148.181614 \nL 164.454657 148.58359 \nL 167.073095 148.586653 \nL 169.984466 148.164686 \nL 173.195952 147.285792 \nL 176.68965 145.917733 \nL 180.413808 144.036369 \nL 184.271939 141.637979 \nL 188.111498 138.755982 \nL 189.959116 137.159116 \nL 191.715541 135.480855 \nL 193.343623 133.744593 \nL 194.803065 131.979285 \nL 196.051452 130.219359 \nL 197.045698 128.504206 \nL 197.743931 126.87712 \nL 198.10775 125.383626 \nL 198.104735 124.069239 \nL 197.71105 122.976717 \nL 196.913846 122.143013 \nL 195.713193 121.596297 \nL 194.123238 121.353375 \nL 192.172305 121.417952 \nL 189.901875 121.78009 \nL 187.364419 122.416967 \nL 184.620313 123.294959 \nL 181.734197 124.372756 \nL 175.793313 126.946257 \nL 170.009887 129.79051 \nL 164.732534 132.638434 \nL 160.166315 135.336385 \nL 156.389853 137.829527 \nL 153.391533 140.125207 \nL 151.106777 142.2573 \nL 149.447537 144.262158 \nL 148.322133 146.166826 \nL 147.646955 147.985771 \nL 147.352336 149.722072 \nL 147.384737 151.370176 \nL 147.706818 152.918568 \nL 148.296448 154.351677 \nL 149.14534 155.650876 \nL 150.257662 156.794583 \nL 151.648816 157.757661 \nL 153.34436 158.510235 \nL 155.378977 159.016006 \nL 157.795221 159.230199 \nL 160.641628 159.097254 \nL 163.969535 158.548553 \nL 167.827652 157.500758 \nL 172.253042 155.855839 \nL 174.683465 154.775594 \nL 177.256738 153.504769 \nL 179.966598 152.029742 \nL 182.801943 150.338113 \nL 185.74565 148.419754 \nL 188.773249 146.268184 \nL 191.851556 143.882281 \nL 194.937295 141.26834 \nL 197.975889 138.44245 \nL 200.90062 135.433046 \nL 203.632402 132.283431 \nL 206.080534 129.053885 \nL 208.144802 125.822859 \nL 209.719257 122.686622 \nL 210.697967 119.756619 \nL 210.982708 117.153966 \nL 210.492236 115.000791 \nL 209.172261 113.408698 \nL 207.004686 112.465602 \nL 204.014314 112.222967 \nL 200.271216 112.686205 \nL 195.887532 113.810892 \nL 191.008559 115.506456 \nL 185.799358 117.647261 \nL 180.429256 120.088929 \nL 169.819838 125.30983 \nL 139.996593 140.625394 \nL 135.922814 142.967605 \nL 132.768436 145.0641 \nL 130.289629 147.035583 \nL 128.275856 148.949165 \nL 125.754211 151.765644 \nL 121.832671 156.279754 \nL 120.089226 157.970972 \nL 118.136664 159.56031 \nL 115.913482 161.017125 \nL 113.363541 162.303166 \nL 110.436095 163.368678 \nL 107.0882 164.147502 \nL 105.246584 164.402858 \nL 103.290268 164.551412 \nL 101.219229 164.57776 \nL 99.03577 164.464468 \nL 96.745133 164.19204 \nL 94.3562 163.738969 \nL 91.88229 163.081942 \nL 89.342026 162.196274 \nL 86.760229 161.056597 \nL 84.168777 159.637934 \nL 81.607349 157.917174 \nL 79.123892 155.875046 \nL 76.774682 153.498585 \nL 74.623755 150.784062 \nL 72.741496 147.740219 \nL 71.202262 144.391512 \nL 70.080835 140.781005 \nL 69.447837 136.97225 \nL 69.364254 133.049612 \nL 69.875634 129.116336 \nL 71.006576 125.290075 \nL 72.756445 121.695714 \nL 75.097132 118.456157 \nL 77.973484 115.682097 \nL 81.306627 113.462288 \nL 84.99981 111.855886 \nL 88.945965 110.888212 \nL 93.035845 110.550544 \nL 97.165538 110.803764 \nL 101.242442 111.584947 \nL 105.18919 112.815579 \nL 108.945459 114.409887 \nL 112.467936 116.282183 \nL 115.728969 118.352499 \nL 118.714388 120.550247 \nL 121.421004 122.816033 \nL 123.854111 125.10203 \nL 126.025214 127.371304 \nL 127.950076 129.596544 \nL 129.647139 131.75854 \nL 132.437787 135.847185 \nL 134.557766 139.589696 \nL 136.157507 142.985291 \nL 137.368153 146.056147 \nL 138.687637 150.122236 \nL 141.864707 160.919873 \nL 142.891222 163.009217 \nL 143.713561 164.222627 \nL 144.681252 165.289559 \nL 145.82815 166.202185 \nL 147.193176 166.947094 \nL 148.821691 167.504103 \nL 150.766766 167.844525 \nL 153.090209 167.928831 \nL 155.863108 167.703582 \nL 159.165353 167.097622 \nL 163.083273 166.017693 \nL 167.703868 164.344112 \nL 173.103306 161.928066 \nL 176.111078 160.387493 \nL 179.326133 158.593774 \nL 182.743415 156.522848 \nL 186.350551 154.151669 \nL 190.125653 151.459985 \nL 194.034798 148.432803 \nL 198.029231 145.063656 \nL 202.042466 141.358741 \nL 205.987557 137.341898 \nL 209.755006 133.060214 \nL 213.211949 128.589726 \nL 216.203504 124.040317 \nL 218.557272 119.558378 \nL 220.091988 115.325409 \nL 220.63104 111.550466 \nL 220.020677 108.454696 \nL 218.151575 106.24761 \nL 214.980415 105.096983 \nL 210.546823 105.09752 \nL 204.980171 106.246208 \nL 198.49215 108.432893 \nL 191.354515 111.451653 \nL 183.866082 115.032218 \nL 168.957098 122.737738 \nL 155.512583 129.674991 \nL 149.625834 132.544737 \nL 144.34114 134.977285 \nL 139.645809 136.999049 \nL 131.870308 140.019905 \nL 123.470693 142.865448 \nL 116.271104 145.277911 \nL 111.442919 147.199419 \nL 107.479161 148.812202 \nL 105.547343 149.437668 \nL 103.569033 149.888235 \nL 101.517675 150.119142 \nL 99.390677 150.085185 \nL 97.208744 149.742996 \nL 95.015922 149.054241 \nL 92.879542 147.990429 \nL 90.888974 146.539484 \nL 89.981463 145.671523 \nL 89.15184 144.713809 \nL 88.415184 143.673094 \nL 87.786531 142.558619 \nL 87.280401 141.38222 \nL 86.910266 140.158346 \nL 86.687982 138.903934 \nL 86.623226 137.638139 \nL 86.722949 136.381914 \nL 86.99092 135.157443 \nL 87.427363 133.987433 \nL 88.028745 132.894305 \nL 88.787725 131.899348 \nL 89.693311 131.021874 \nL 90.731174 130.278456 \nL 91.88414 129.68229 \nL 93.132805 129.242742 \nL 94.456245 128.965122 \nL 95.832747 128.850668 \nL 97.240546 128.896756 \nL 98.658483 129.097282 \nL 100.066579 129.443196 \nL 101.446489 129.923112 \nL 102.781826 130.523961 \nL 104.058354 131.231622 \nL 106.389159 132.909057 \nL 108.368579 134.841448 \nL 109.956815 136.926041 \nL 111.137834 139.076888 \nL 111.911982 141.225842 \nL 112.289316 143.320621 \nL 112.284301 145.32143 \nL 111.912085 147.197151 \nL 111.186299 148.921621 \nL 110.118206 150.470258 \nL 108.717081 151.817066 \nL 106.991722 152.932023 \nL 104.953078 153.778877 \nL 102.618066 154.313508 \nL 100.014615 154.483135 \nL 98.625481 154.41234 \nL 97.187919 154.227019 \nL 95.711453 153.91883 \nL 94.207603 153.479503 \nL 92.690084 152.901143 \nL 91.174976 152.17663 \nL 89.68084 151.300099 \nL 88.228721 150.267521 \nL 86.84205 149.077341 \nL 85.546381 147.731194 \nL 84.368956 146.234643 \nL 83.338048 144.597872 \nL 82.482107 142.836293 \nL 81.828686 140.970951 \nL 81.403191 139.028688 \nL 81.227535 137.041913 \nL 81.318743 135.04796 \nL 81.687686 133.087967 \nL 82.338013 131.205327 \nL 83.265444 129.443743 \nL 83.265444 129.443743 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p66a1344950\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(results_test_np[:,0], results_test_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(results_test_np[:,0], results_test_np[:,1], results_test_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 62b70d1e..bacc80e3 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -1,5 +1,6 @@
 import torch
 from torch import nn
+from torch.utils.data import DataLoader, TensorDataset
 
 from torchts.nn.model import TimeSeriesModel
 
@@ -93,9 +94,31 @@ def forward(self, nt):
 
     def get_coeffs(self):
         return {name: param.item() for name, param in self.named_parameters()}
+    
+
+    def fit(self, x, max_epochs=10, batch_size=128):
+        """Fits model to the given data.
+
+        Args:
+            x (torch.Tensor): Data from original ODE
+            max_epochs (int): Number of training epochs
+            batch_size (int): Batch size for torch.utils.data.DataLoader
+        """
+        dataset = TensorDataset(x, x)
+        loader = DataLoader(dataset, batch_size=batch_size, shuffle=True)
+
+        for epoch in range(max_epochs):
+            for i, data in enumerate(loader, 0):
+                self.zero_grad()
+                loss = self._step(data, i, batch_size)
+                loss.backward(retain_graph=True)
+                self.optimizer.step()
+            
+            print("Loss: ", loss)
+
 
     def _step(self, batch, batch_idx, num_batches):
-        (x,) = batch
+        (x,_) = batch
         nt = x.shape[0]
         pred = self(nt)
         return self.criterion(pred, x)

From 8031085f5c50f4cae42afa5a64978116e34922e0 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 00:21:39 -0400
Subject: [PATCH 12/73] Fixed bugs in Lorenz 63

---
 examples/ode/lorenz63/Lorenz63Data.mat        | Bin 4626139 -> 0 bytes
 .../ode/lorenz63/Lorenz63DataGeneration.m     |  43 ---
 examples/ode/lorenz63/Lorenz63Test.ipynb      | 276 ------------------
 examples/ode/lorenz63/Lorenz63Train.ipynb     |  54 ++--
 torchts/nn/models/ode.py                      |  11 +-
 5 files changed, 35 insertions(+), 349 deletions(-)
 delete mode 100644 examples/ode/lorenz63/Lorenz63Data.mat
 delete mode 100644 examples/ode/lorenz63/Lorenz63DataGeneration.m
 delete mode 100644 examples/ode/lorenz63/Lorenz63Test.ipynb

diff --git a/examples/ode/lorenz63/Lorenz63Data.mat b/examples/ode/lorenz63/Lorenz63Data.mat
deleted file mode 100644
index 6915e2f9897c88e0f4aeb5d28550c501d7001629..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 4626139
zcma%=Q*$N^kcB6<ZQGjIwr$(?#I|ianHX<u+jcT>^2XV(wrcP9+?=ld0bPC0BQLBb
zCoDqD!N^Q3FRaF3VQptlPpo8T>}KKUV$bv6PE`6gJ3X<ei@C9zxf!ve0}rw0e=h89
zNzB4U%*@5Z!pg(KPRz>8%0m4A)vx~(h_pP?f3s@3#4oR0y$o+P`CGgfw$#+qPBx^d
zQ?=YC*9w?2>QZv{DfH;lDD*O6HLLO<KeA+zGF{YUNQ7{a;$-+Tk+9t_-P@0~?zv6d
zg2&o3zN-yjAMmV;QJaOO3FDM*ggml_-1+<V9U%Jo^OY}}i^=LbY=KgMeE8vas77`A
zvu7$s{_;bRv)NJ-)9!~s@%O45Q>H!Y>D$SN&aobChC^E_Ymb?JaehKaach(A-7AQO
zbmA6^#-2}uArS{tohf6|+#Nnz=vLhx?lH5nALx?VJlZ&J_fkW&ntDs>Gj_8L>l1yx
zTz^D>#}grLIX>$kKQ$_bF)8{0r_L%Ss8@mXksW|B@-G4nEifQD_$HSVccPaX*I6U0
zb$Y*>+J0~c;9)0&Ze{NonXE^DDQ$i`>Pc2yq<@mFF2PpZ>`umnS-pddVT%n_4*7+Q
zkoRTH^KnEk^@&&CcyAPDWgp|eK$YRVfaXhg{g?;0<VnUWh_e!TIF!M|LH>;%waOmV
zu#^XN$nZM~v(CME4v9~|GnrDnJqM7T46edVz}9|<a?&(Dz9HrO?^CcCD^4G<1ZUR&
zvnp=gQZZA!Y&iS#?KK@)zPRWQ>No`!p}R+)vcZ@v1-F&wVS)L|>zwd&t`aKlt6;G9
z_Nn5=PI-Bf6U}YJpH!f2T@9M7O2uB*yccyktJ5Ws#0Y|r9i)h1SS74e>9XuIkx<-j
zxhALKAsu|mQY3exDzEhu%&m1KK&~S9x!Uk1jJtca7&}X+YW%Oi3KXphCCPs{1~5f%
z+%KSQJ(k1i#ypu@<?q13xTqY6{PZss^lmXU3xp`k$t2+bto2Dcsr3iYn|vaZc)qL-
z2q}V~S)KN`#W68z6)a`e6vv3=t#7T!UkRr>!Sp_icP$dX;A*+3=XqkXDsa{-0t2#k
zG$l1X8fyeeqw7%)%;+oIA5y+6X`K2V?$Uc}1-gfCf91pO8dx>dnu0?>9p4mnu$n<#
zZ&4VJ{;|4Eng!U8Dmh&bo(30OHunF{LY1`)>QxwiPr0X@zn>GIbPtD(<;#Hx8P!QV
zcLuE5m*Ld%FL~*BlfZq>3=%m$E`%q2&JmSZqz~>(mJM~6v>HopM5~sc#2A0uAFbEB
z;#cyrF7*6sCd8ledN~hCCX{<4cx~{@h9fg+N;$)iHO?J&79g<ub=jwxmoR%4vQRns
zd&{;w@iV1r_0$?XzyKhVaC(2Rd?Tn3=*L}{ozwQM+sL9-$JLQiFcpDbILF(g{;U0X
z9V_FN5hQ~9U}8X&j|-o~Pjv_^aTW&M(K1I!I_dh?_37Z$GY(XV*A$8QM7{sngZzHh
zay8Z4`;^g9enppnjK-Z66VT2e1BMzh*2fB3E@*8txvgv+_b{S(Mhb(Hxj`yvuAU9F
zfHYz>D&aRWjb`9=&p7ydg+fQ}dmHwRqtD}N)gtC-hvTLKkrrsiE7oI9I`e?F{0cz!
z7=wA|2$%D~96rDEJ9s;Vwh*JeCQT-`=GkoPi3TqySZptDWzu9n`{Bj@NmQ2^dYsLk
zV>Kd<hX&_h)6n*)ivn-y$v)^UrLJ9D4hmHgbR~7MERmn?G$`N?0{Zo|qFr|<@-!A-
zfbV__Yx;SBb{G2wE@1-Sx7T(CM4R-PqK3iB@Ls88oTF^*{>#Z^Z~M~)al5p!PFYN}
znWDaH6Q-=z{hp6y0!4P?K*hC)0v3UMGF<WRFMY({lRbA!0h4zFcz@^Cm>b;-kE%+H
zxNGnASL{id;1GOA;2HiznWIMSVnks!Qj_Nla^}I6n34k4A~IhKRLp;#m4C&lCLB|U
z1V)=N#;E^`F**DuIt8q~gHRWIG96~G(k%pI&ye#HQDT<Eapv@54uBbW>d1;Y{u3xL
zDdA$HY`f@!W1PkeI;zQlfE|p|88e_MYodWH<{7c=PUG(AedT=KP=rT#;N;M&w%FHe
zmoNXVEz(i^*K*$=m`lRuC#NdbtWa3-8FkBB<Q1iJ<{z6ltbPfSBlTbN!hhnHx1N#^
zcV0D$QZ@DT&6W?GzbjeqCX<fOzac=iN*z8v91HkPtH;&z-z3J`Xwm~s1c<)*yiif_
z>m#d5yQ=#zd2BXjtbDZ|4-RJmGbuwd=PW+H`63tu?ZaJ_)(H=PHkWR4%&UWq5#v*?
zuiW@>yv>bz5}_bG>-DePG{r^hdJ?~F-9qgK?!688I!3C_M(j03FH81nBIwRL);$xy
z#d4sk&)Ogv){EoCVTZyri58qQ8w%H$N5h6A&R`Mf+2@Tp46n_Y2-*qfXP9jE2URF4
zRNyG&Yq`%+7D-3@UFB$o#J%-i3(?=Q-c-<T<)D&otk~wM4$9&s(6Ov|dv~?-DUH)q
zq$JOIAOjGf_x{diz|9rAHc!$|Sm8b{jqs%h<z`zc#Gzr`Br;L3^d&8fjLxgZR06hI
zm#08&8R1iq_}@ITgC7K94mIVOnW?Qx-uX$eQnSs7&NG$nt2Lx={mF_I9SnSnsP+eY
z+M3pLF==Uqgtp)G<(6T!JnfmB4#Y$@`+f)FR&!}U0{RArgG6z;gK9eFS*VD$J;K9Z
z4#e}FL*$+uXniOTMj?(8j_k|nE;?R>mlmhwFzd76CsMbE!X!Pv%J@~!E3>=WY&R$|
z4I(rA$fC(!egs;8OK?0YeWekP3QhA(VuLjMtXSV)emezX7KJZg1V8G;a5Dkl+x^yu
zg8}U+OlS7S`@N#4S)LKv>+|J{j-0a)AA<i*0j}6wS1eN&HGFvOZrFZ?5@*6yJAsgZ
zZXD{5fZ`hYg1C?x#Y+k9hd*fLZG8G+QIiBKANceeS}x<;|2|O&OZzqh)@I@>V|424
z4{(3S1I_6I`$oWGBykwxjOE~QroQ;DrzPIg)k4aRLH&Mww0L8(yrdi>Sa*WrP=Jl(
zQ4<kHJL-rDx=}ng_dU60v!fV6?;a%eeo8Y5aL}IvVvmX5XMg{$dl}fDM2(sW^dS7C
zGEz<rPMQu}nzU?q4XmZUH0C4iG5s_eH)(0f7<g|rq=X4)g%gYbUK9OZdqk^Q;3ld~
zq6s?b`8GWqIc?yCeD2G*Ff+owKYY#*?M)9xV=K}euE3G;?`<3?Sia5Y!oEHx=zG$Q
z&t6&Oe&y%G(7aI6*J^3x9m!v>HNieL9K#eY=4<{g8yUQ9Bl#_lBFFdQqj~VI12V0W
zeU7bcbWpjRAKxY}*JB%SbP<#R>V(!8;JuH9riegz#b|B3FNuZP>!9_kGlhUCygT!i
z>ZVBE0~zce+6`2cBJBRK>+{q5m7E^;zkv4;9<UU|pEMnE%22Ww*M@>fV^XGrjJZ5q
z9)Sx^9DP1nXsFVWTHQ6a1%~>A8Cpl4eDx<f%Wo8+8UHtUBh*J*(Yr2qf^LV;NYpsk
zLhf(Pt0-g0dPl`s9~3#!9H`lU>vVs9&E`-iuoe@AGn8BzDBsJ;`ph**fb<}<+rjcn
zJ*Bk)rsFWwmgkduEWP!A?S<3+ls@2K-@p6{`~-n8=k2jIQw5*jd-5N&4Uf0M@l&bi
zhw%4VOwPYS6?&dI8MP#uzen(veu_de(<{o~ejSqdl|#TG+pRF4^kcBJOA;Sj!s!b)
zObx1J_<jb<vzWB4<}tF88~f255)O>J8+h2q{HJ*7mYc(D19bk412wDb=;c;`WJq|f
zX6Pd_v_5-q1JEaD|M^hoWe-D&IHyRp7R0R&&zhp~ls*@K6GPpbgo;j!aqojic%I@t
z=WR%4mfzvNsuLihtp36ARZ~{xuXj*WlMy++ttyKs_b!~@+h1wUh)(6r&S+RpcB%p%
zVx%j2HFE50$)vJiOogO>j(N)t4wx6W6}Ny3&X~Y{lv8t6zP^P5&~fV0m4UOsqaf?k
zFp>xh*!O$L1Vf4r_j@Txr6pFvWvh>M*>okRwUPPCUNM5-ni!wW8HWQzSFb<dRp{)+
zjyZLk@}qC594bV6E+m3q^~J-^upSd$0z`%q11keL21whaqi6P4JI=Ae?Wg!QyUDV`
zW0SLI;uCtzx|ZMbbV0$qC8xEMDHX*x8wqQ`n`05Loyn&&ZgjoLnas?{3KPlP;d^x7
z;2Ig9AsBUZKHS>#0*Pho{f!H{7YRKj0xg28Mah9$GJW0X*+t|fv;<&{voWnMsfSWh
zG@$FAO+PC>z%+;v$F)Pqkf*hEE<c(RSMyuHEiC>-HFXQZ6#rb#K<|YzE4nGw?L7;X
z=Vgnp!d1}ukK2PwyCf$D7LqilUT%5G%PU&SIuO4@ubbwk6$IgSZ@agCB0lJTw%pL6
z@958j5NRD>d^iiQBwM>B3p49vNk>Bh*v-$P)}S$N_OMT>!1tg~ndJd4&k(-VR?78Z
zTV{NBNEzY<Y$mm1i}b^`BjR{dyW|PlM@*vo)*X3#R5yl36`qXiz&}mD`eAM!nb@Zk
z9iGf_nD)(`x#PjfwFMwW{*p4<XKfqGHuZ=4O+M4%AlJqtsCamg|F=VIE(86OpQ)Tq
zUmP6nAUEy`9rpUozoq<)nZXGG9gR<CMk#z*uck|EFd|5#ctSER3EhB)SZf?C#4LW`
zQk^+*>Zu!)RHL%NSbZNL18%_<iG1g6roWs!=3x+iqodVHwW$deiJf=qw4TyUR=v94
zb2=#wruwL2wqbuj8Y&E3;J|dSdXAy|wdwvg$}xDDn(&T6N3?qh=KGqo%m=dRKD({^
zeYTqq8!^T+w$8HH_wC^01!|*`B+zBx9)^%h!Zu*$b8;9C?s{(I*7%4{8n`ECDp1SA
z-OUrezgudha2LvpXNl@Vh`&1l6^K@&?TMgmRqyd^UL6@n>Mz<fChpf!#Ufd;njXdk
zm~cC(YFc=6UM<}xAi~|7!DDeUKS<AHb1nYR#^x<5sxKw|6IE7L?%AVtuF}=m)RGy-
zdhIsnr3(@X?1p4~GBwWAxSRe>gxPGUkl+u8`DcXiv88_4FBv%JA&($J^n#9Sb_Pov
z>AUUzPXhDC*F7N12kZb?j~N!V21l%1{|ONPO~3qM$B`{}?(5*^Ze(5XOX6q?Rqa{Z
zYBA3rn8k-yusd!FR}Rr%j5)nWF*NvC^rLhJ38p)!#Sy?N5*d(3<eEPJA?eR}<hsT@
z@96vNM}t68IqK%1(m?ro>%mbJd}povTQH+WCG4)_ao=iMdQg(kzn7UNDxNRT5HOn(
z);}xb#@iPZMd;3nON6s<|2T>9TYXYwy`ffpSH{=`7~^BQQNu3xn?zhg3R>96c_?jl
ztpB0?H%(ZJ6<7Jp)AcvW9}c=cD|!YaqbPQ75L-M90v(l=Lqn8zmv)+iG)}My3VXbh
z0_D4vcYat2bx^J>munTYoS^WYi4ImgSRQ<$Z*zBrU#BApum%3)FGWD#FgG|Hx)41Z
zdmt=vv&^wid1AbeX$-*qBUzd4`xQVNe74lNAsQFp)^oZ`?Ju4lo1e>My@?B&X;wO|
zxl&T%!v9_4NPHmk_UGzB)DM}^-?E-vXz2PHrP-eq24g1tB9Qjg2(Z|)$dTGH7w4O0
z@lEcgE>PadmW{Mc=NwQ%%U=4IUfxMZcCb5ta?lgeuaZ!oK*=W}+Mf5JSzj~hZY}J{
zP?!Cc*y+vA{#I7Jdr;RAGEZte$H*V>mIO8D`8jn@sp`xWj!1|^T(tRtCi|WGP^g<|
zhPEj>@EAdkxXmM83wT#;aluBqNqZhsKv#D9mzC$;`%HfP4sP>adpyua*zh;Z7(LZu
zwi!N^*mS%+7c2gf54qP?xzW91ALF|r7V2vJl|Hg*%PbPk^T$mbzpcz@-CaIgng)lL
zcMKC!&6T8u<<cY~G1&i59O8i%{nKS((|5(1l<D;N5EljFD-ZuY+Jt)j=hNeHkRX&P
zZAX9JRC3_o1Cbw>iQ2I?{l=Nm6vT-A*-QOnF|qzh@gcy9c6XB1t3xQ~ZY!C8DjwzM
z=Y2m#N;W?{12JhSrmTZl%fYO>GB!Ayf`n%7!5VuZsNpNnY2Q4t>v>HPy@!9oEnBq2
zRJtf%@>3U)k8_<Ir6V&MQqjW=;kw-Plr%$~PM2#w;Pw&qAb@t!!k&*Tpx_R#9G9y5
zikn%|TGstal$J1-x96gX6)a~+>Jhl=@+Z)Jk}FPOC}Ww5Q_;b)(6z|-8P#OlZz(3L
zuY^6f>(V;cHz7z{b2YD(cy%HcfhnKFt4}nbt*;do%{M1RbI*qI^~YFOFInJ#X!a7A
z_Qu+@ezjx<*`!G3TL(rVMif6gnXcI}GrXDKt~mz1bB{TE1(>NQxiKVaae~3b^xDOt
zNjVuj)^4e~2D)wIpZ7}oFu=LGYsT2XcQD&xh;QW0_D2t6U#7TWE<!l6LFRTU385^-
zl7D)vzB}k%n-sN5QU|i<!T~rbJbcjteBb4u6{eb+Oj8Ndl?KDYDR-nA2qE8R^Gec<
z21Y&GwQ#R?osGYrI4>$L<x*7x>hiGrN7K4k8+6sYjP71iJ_^y$0Or;YPlp>;D}F5=
zf(LV7oO+R&1argGA^rQdop$VvvsRP56CwJ#t-!Yx=KFHJ-M$dbb!vXi10|FLMb_q(
ze|~+;EVr4K>G&+W`r3Ep2FXbEI6;<qYT8~(4?xg7{NIEd`$-lZ!AP@)zZLTjo1Au=
z6IDl=>`FhUos_s{p-!-CW>vujV|-sAu)La_vzX0Dv+fRD$;~8rUmEY8OeWg<EbQPv
z-rYsF;EBXonjEP}wXv114tjo&;9Bu>jz_pa6Kf1u0C(VU00+m-z+*(XG)XM;+70Qu
z3MmtBYy5jY1+|Ru8<V2CNlbz$dXVF%c&ty}$w4$vcq|AsKENWrsduCBueYEzTec9b
z%pva;U6+I?8CWVNI^;f`#-8sXb)>=eCC&=M7o$Vkf~3-!$FRgZD_xID2)G;z%mNp3
zmv{fE`~jRUWG|NK)?IW=#QZ3Ir+auXB)h6^6?1y<s(GyDf=E8nJ+KJCC2ONfVB+5d
zCUD!09y}a(xt`vST61B30@H_xm8?^db%A^T3=L8=PTtIVL$TM$`a<9Wm>!879wT16
zlf~ia^YrRb3j32SJ|PYp@}Q@*Xay{(<-H(Lb34XjB4%?rV;pIy3EEgTM;`p=M|)@e
zJ~@WrqRodJ^sM3Me9y;_HR+fPQ2iR8*ek`~hr?Csm#t)2dw){UTmgakA^}ZhZYS>v
zmNL=6w$7UQBK+s4==*{f7!F>I%L^Xr+sU`lT)r7;LEzlJN1qe1X@4Nu+!{(3Hybaz
zrvW@cNWMM7Ca2V3Yek+96?A^VH|_6BGx0I^snj1fITGV*_|8kvqNzFcFmw(W9z-R+
zCx(C0mAm9TTzC0M$&8K;o@EQnG>5V;?(Qae8-Zx}vagBvHy`1PVeEWDjQ&SYs%RG<
zGO|4(Q2}r{H~>A_kw5o!)kFd|CJ#F84H;p6*z6_Oa%66{S4~EbSxDJlymmv?@XjWA
z#TrZEtZJ!G@Py3xOT)|Flm?vn_eKh3r%8tH;8b-~@BrGx#uaXECtV(-N;n{9ge00?
zoZD?DHL0<B>E-X|I=;*sCx=z?OZS?<qxzf(X)aezRprvDkPcq|3Uw?MCzYfF%=g4l
z1Sp_|bD*nn2HDjKg!CZrCDo^nGKFQz>I4EHspqueaQ^i`g|oEBpb3{iZu+R$%J<^U
z_~d8gyB3$|e3Vm_>b^JbRSQhrzh`7TuXwCkMSG;v1z1#msNPBYh)X4LV5J|oQxoM%
z3j4Oy@Sqw}V|N{F&~ZazwSC>u<(Mcd@%_k+XN#&W1DpeXbXXYe^ftJ3gzgNdz0WAB
z@s)2e2=h*exR6n3@fy&Cg_*vEdpl5ZEzre1!~{-+%rn<e$Oh*;quYl!8H!7G%Ed>I
z((tA134AO$bE4HVEDvc8+|b!<)tu;0`*#l?!dh~xI%F4_%$1>v&H}%=`Dai1we-|4
zLr`h!@!qzd<r0FT?Kd@5Sh<~~OzUPk=n?9MHF~#jr}`O_R3$7ip<MV?X7(bGw-K2e
z^wy{PRc?iZ#RZ^Nr*yBYiHeJGRj;;v7}2)GzZ|dYU5RPbcWm(veChRT$<<Ucv8!JB
z*a7iiG}4T~5SZR1y!nK9Y$KE8SrC^QTSW9~vsO!klB3iiAQLzKU;{(@YCP3v&lApR
z=n6E!6@B}0*l_cF;oDxBF)G$H6Cy>A)?hytrwAy8j@GNOq2h)+9b@g6YPK4#-0Q#C
zDyJk+JXN#ia8)46oUHWUB#)e+-QFn)=@&ab@+SMZ%0##(7u^5|1y-k+0tpcba6JCP
z&8gyuap5@EcSvrzYwf@LibE8?J(SP?Ron2L*R~qG5@$x4t|%il2E{?uWMb%Cc`GsC
zH9(iiJ>_=!m)>yT&B?7uu9n~L1A2(!H;A%cXJz&~UcvCv<mDV#3{m|9BnMNf2M2@B
zY?u%MrX{aK+ye*X0&1^4{KQc7eq_&`ERA7tebUJcWQ2YlTLgVaQJioXTS)718BNM-
zuV3BEaDLF=B0hmJ`_&g$y8d0EeQH#p6=A@8<IykXxi>zzG71Sg(N(n0p`R5k2K`^(
z#Z~UPQ}pz5zJ9<$SiIhhc1-+j@;}!@r5dd&m^Ow)6ZzI=#-}%bmdnvW{PGDrx^HOV
z+(QVO$Dy>>14?baZh1gTIV2%2(Hrl8Rl@c(sBre|=}e6ulz*Tu1U%dFEJ(bQG(!-J
z)?AsY&2VX94whARMr)BV+t|P3U(d$HAWK^J{_H;{w1afV>1n;*G`vARC&26J%zkp(
z(1l*%*~=;7G%~--msBi*Kt>z>6q#O-f;T}3b9k`HZBtC9@UbKW)#vRIP1&Ig(rsKR
zEXK+4bxXZ`)xz_PO1{)MP>zNPBkdK)QM%0gj&v13iV;!trnzoWgHzyqEXQ)leRhuV
z)01X}9|)!sXgA3~_f^@4KQs^Xyz@4&=Bu#Wf_}LD%|f=x76r2NTNnipIhw?dkEPYr
zj3HUW3Ik}l-$zj(cUiZylx3ZWhs)nA?@NEhb6tC<Oqm-wPAm6bSeo^;733A{F#aJR
zRP+PJp>{r7EM`}vo7tt&Qy~~oUgBU)<}j8YT~dhxDDsn?L^ACpVKDly=A)TRcHQjM
zIpI)zQW}psYF_C`ISDSmPN@o)l)r^ub8xv)efW3W`{a~=ac*jP*6)-Q<!X1@-LT0&
z%_9;ayFZfT7`r!4CEvwJt@-5EMPZs-`d~0U92^7%Bxu{K9eX);yz;7`36_{n+Y1UP
zeV7kh2dJfD>9%#a11N8FRn6RV6Oi70vG_mfghv!DVUaw;txO_C<4>}b36JL|4L5cQ
z3$JNDQX9$T-PZjjPmLjvJm~c|JZCe4Ylyh?Rv6ZX@xItZ-9wQA-K@{#vFu^{^qMvl
z*-N8T6_4USn~n$EjdM+Jv2i%HeDu;6sEXX&?+5cC_`FV8xqI59Vi|ZiAEC&k#@qGi
z{GNj0s$(n>vUZ6}UKaln&a{)8#oS;hM*(@ddY_W_NpU7b>pe>7Calco>lk29gS&l`
z4D=XrR4w3c^Z<&ZfhD5uk{V9J4z4%K6DF*X+=`I7?ZrkyEyscaad2smaa(h{WTrFe
zQ<Owo)LI`mC434l`|-y42ipd$ZIaQ_MS>V7p9%5Zfa6~zaHxx{=%4!zBc7?HMT)+6
zxCyj~PuW=OUD~SigS+OY!ZZldV|EOf$e(h$M#esu;6-R>x8VS?ceeMi)7LaJ#Pi<*
zU&B|$`zlq4Q}1YQJwxU+5rhYSbnZ)fu-?`9Y)4|g#g03<Y&*SANbs3k;2Iodiw~n$
zQp3cjaIoD>Z|6dd5ZP%O3kcri#hZjTO}F6S`TEEU=QA@6B``GS;R;FGU5icgvC#;)
zjb#v&@n3W5a+sGShl;w3CLcm?ZMxl#y0MxH1bv<fRYu+Xc6^|acFawtM~i@$5cpo1
zO9x$Uf&{#>$MgiL+L^2PzK=)zi1@NmY%o=&rt2xd6Dm+GuYLC}&l6r!rc^F%r|-ok
z;>T8{-t4gV_RATdl+(df5|d-TE-N!z_wdIM-*4E0uiP7*L5Mp3t-ib%%feul?{v!G
zE%a5i8Bj+?a(!e+dwcVJwL=3yG}mtz!#FW;OH_d$CmVT+gRxUX07bge&?rgS49Z;h
zcf}DS#sXfJ)@ERV1>5-O;Eu}yPc@%a*7)b8Ykbs{9Ya7|l<h&}hPA?(1R)>#T$Sv#
zk%?Y>+5nh41AV^ih5F<{&{(oh{VwQXfFBi>%;Mj~p@ekR%QInb+oyeDSIlT1+dgfy
z$9AgTp06}7LxbxL2cM9R9}3N@o|#h{V~UIAr)Oe;Pon?u^Un`@rZ-pW9#J@*u2d1T
zMS-{FxJGJr9+@9asTqwlg)U6pq6M6^M_BPS3PaoVgEd7dMA=`dDthy{@dw|)z}YjO
z2Jf@ntK5&y0-6=CwJOXA;TuDJA6F!}_cMMT;4<_)gLF954<e+04qXd`IX$%3aykny
zlh6T-?W7)&DY2>l+f%I|Tr}8p1QRxla)<f*uUiht1zc;kI3N1?#7OL9B=q6|w7|$+
zN0!9x*01Z6Icz;(yiA`uiI~kqoQb_Xwpou`Vy_z_SXtPaE8`2CvV?hCtSuO%3j~Y&
zB|ALii~e<i5@ykyLsMoYcnF~*cLY+IT*uqULsXtp=ytp`MycVT(LvI<o}?+|_2OT?
z!ZT_SJcTRfaDQg2*Cei!r(lr11}w#TL2{7*S)?C&jzOb~OU{fI59WSh7bgx*p-=^T
zE)F7wh=G~w{_+OHi^9tH{R)dpXaZDodgQ+>2l`k0$Et=rd|eoSmHEX&^WhEQqGZel
zuY_5mcw5-HZrmjXXADDA6$3S$TP;KkB5F3tV<0)ywlL!(p!v(wOg&38?<^OucRitK
z%{q9`Cv{@xv)&JEDtI9E*irvllqwPbb*hVMsfVVR7~yx~p8m6J6Bad4V1})byjYbn
zQcywZy=Ts1M1HXm^qe!ExVZCpe}P5vE~3=9dR+>(@o3~{M*!2M$*8JHi&0E^f4$JH
z?6!V)Y~mTl0&^|F%B>;%`go#}Jr#Sg&-ufK@F5l2?5n~ZofB&1Q)(`A!-NotG%C!O
z4E^63S51Z$DV?KzN#GL;LA$USv*$z!GW&QG6^;0n<wfXfM_4WrvR*Wdgig9WeGT}c
z6aQ1I*iH29lMMU#GA%)_06s?V(lxCB(skF9{cZ$<fvU3mosz2_M)rZ#Kt~Lh_@?%+
zZ3P1Tm9b&XO+OmC`-DTSJ>al}0LwDd(Vkjqv^?;oKT;@FO4t8)NJ6olfI7Cc^8Owz
z#51fd=`~mWGmR$^kv(~DOu(K{cp8XrJ^&yUI&TW|J(%W~+Wd5Ulq740jggX8(L*t)
z4miHl1$bM{pS~P?2$;R{zI#7JF~XpuCv4tS?-${5lJWr8lLjiiJK?#*z!B3g`@~83
zj*ad2KW1{_<tb2_>t)CLsSB2o_a;ScqcWP~ekYT-*&W=SQL}Qvf5@b>dRzIj`Cd8r
zvidb_GXCTW1ywr-Ta6ep>U1)7`@WH|auv*b{RJ{Yq)H%s=LU?3Z~hBowUIWH+I>E@
zO5wn;(Zu9}y>VIC{=yKckzgHG+Ot>9DHZ`|qo*aykMWT5D!-6c+22WLQ=G+^H`3hL
z&xZ+Qgnc>I@YPn`7m_%!AmZnlehB>LKN}UV?RjrFYo=+`F0Jq-iANmM^*vWc)cbn_
z<GeF2LhHmf*7k{06q407LL+O-_-=}PEzKnaVR|~D0K*G;$J*6nLEl+<7t-@n&PeN4
z+U1{BW%frde`f2HLC*~tUOU0gx>2&(1^^EMfJ*Yo0C2e^rHWnL_aNe8QwLTyL7NP2
zC%CHf_H<a0k%_UHVGz{n3F6y)4}$xqt@0fqGZq_e=)Qho6YR>_ufYgocj#;CB__>^
zLw4W%ywsNru_52JSD5VUUU@CQp<vnfP3(A!M1z1Ur%X<wz|#Zjq_^K<VuqPkZ8tXd
zT|Eh}NK6J;m+D#n`vnk+&XuQZ;n!>C+=-%$f}AV6$c^!kI6hV=N<WSIhjSf`oXFq?
zU-q&JNAKqM4g>Dy%?G2lyI0Cx>F=m`k|pvVmBio7(+CAAw;8*NhUbljB99stQ6L0(
z%s%g`BskETJ;@n#EoQ^nGy{Hi03ivJS#*NDiYz2<mhX=ClE2mL^Vc!6W+Z>|>K11V
zVg^<Y^d}Q?H;hoG6nMFYC6~_lU@P;nYcsxhjLpZwyLP|oX+=O-VPlJ;sf-iH6;t4_
znn(iQuj3P;L3El77uc&X&n&p6w)DdgYJD_pY;t}{XMEZ%-V73((Jso}(!rs#wSWC3
zg<Gg8s=+7hGc*9YmL`}r@6QF{W<2_aS&>E_*|S6hiALY{;^1Lg&4L?>YKxF3abeW|
zjfB|hXm5Z188MQPr~2BKB+=Qf{@AdD40-YZ-ht<i)hl2r5Gtb=Rds@Le;9H_q)jV?
zRhlZvd<(aUkPd(SSKX8ngskC(av~n_?Rn74Zp`V2_Wk8{h@=}4B9Ze~E0_Zh%S*6~
zKf;ek37tDJ=-<yCiKrsY&0xhF^O!S0DGF8E$)tpWSA&z+Y{h0Z`fOpV0ER=We|55J
zON<o02rwAmit_w@7~ye)6|c;EFmw2_q|_VZvwfO5ZxsDf9)|z^d|l5@$gPpf)Z=eE
z5a&UNrIXsE(G<6;KefNiW013g)>ycyD++EdnU-90LTMH}YNn8ng>l}pSc~?dng7}E
z`91?9{VV1DMKi$)IqVN(8ly_%RR31s+}sH*jkuN`*THObY5kn#jl`Ncre(NR95auw
z*&9Fw0hxQ#-9_`l0%O58<B%B(yAVC($u2Ggr9aqVStS6&nBTsGugN6#vqF89$0G*S
zoe~#(qRutOsNuDp(0?Xqh>pN~Aykp-TxJ(}r!yQa*sUE|-iDpNO;a2spO$6#(nBj%
zmu>en=G}Kb&2ec-iI9u=Vc`8Lgwa9zVe8QVA$4Xf=5oW~m-nMSI#p2_+!{92kn9E0
z1*j3x2$P0rAm3QTAgR9d<x?;{!325tc94irmJ4!Wdf*Kxq@_<O$mP_g6|$Ks|2Ftr
z*gxY;R8fzuzTPD@$K4l}&<tE#`N1OzS$<2GDIrydmPJdGG(0Xr1n#Vjx{Na~0}ER^
zBr(t%_ykmJ1|+j(L)3WnCxniaN|BnQkd4rAz4hV~UIG-qnTsVM8_+bHZ}N#jAN9ef
z&M}a*zf{}#LtVWYc)1$eQlOC}&0;~5z0Xs+I$s8yQOD~VoUGW$g8qCj(l{U?RVj00
zy}wI2J&w}b6ZHLrQ#vO*wtAm`Qmh?#hL9Jg+DNe0-uY>bZunb<$7E(~Zqc-mbD6L_
zRer(YOltPR-}y(mvfkf(F_X@oF&Nwz4WN%Z^r?AM7sR}t<&|y8jW_;So3*E4Vkq5<
zm5E_vt-SE-8+vEM6PY5#<$sHXG1=OFg6(uxa=FfQ&wiLuci;4X_=iE_j<mu3t?Qt^
zslhqO!iSKXSB2rt&A?5_ms`K@sNCDGc8#Kf(3{44%qO2W255YiHeq6MC_|Q{6{zm#
z2(fTF!UA!w21O7@#go36a^%C*l<fA-?BWZ?xYyLRp>XunM9~%hF$}qG8!eVrWPva&
z-2&)poRgm0uTf{7*}1N~d3oFk&|bCMUVNWB&ZmV;^9}eBrcW@vLiH_!pO17Y3`X_H
zhj!g5gz^w?vAlbv)B1(<7P$Jiqhd@Pz&Gy`=7SoK7WyhaScug&&*TeEi@SKLM17v!
zyhLJZeSq*_*58jOk}Y@c_ZGI*C)iG{nhS5VF%U!*N0}^4cehalFr_yp{odE|i2L8%
zmQAxl!m$xvwxEF&J0|^Ux_Kcj3ED=k#dLIr<D$Lk8>w|a*u-B4>pD#%c21onc<a8|
z5grJ-r|+3;1FMcM)SyiVITt5tBzN<W)q8X_+gA!z1WKDXGvNpKzG<k7e&m)_e%33#
zl*pqV(+)8fA)$s_k4qkYZgVnlcoe3{PkD=I*|U&kt1E3l*H<g~!s-P9$!$+XF(Pw|
zmV@==^XxW3FUDijVY++l*ebicuJq~f*qWm1_8D-g*ENc&PmtO6LN<pm%XK9*^@c)s
z@jv-(UhxRe#*IAoo>`p;c!*Qkfurx>k(Ww01XMGiple<?BtZxt@shekT1;Z=YVs?5
zaS-JW>L+PT+D0zTlPzFCCnhYsDoA@wYQR!8Nv?%(9WcE2G$D+dk;8lGWQD%tkUqJv
zy18HKP*>@h6a|)X6R*>l;#=D@F8GZBK6ClMH2F&Uq#VKbBa;O&rb<53Ry($TGd1`<
z!UbIA-3Z`%K$;5){wI1&ODV;Q-JLKNGv65DExnHi|Bf=zZN`sg)>WE5jvl4-y#)N2
zJ2p);_4tRXG5trVC3`tVQOwF5a8`MU0zaxgJuJ$O!#q#dLh+FXT?UEQM!z!lcxan`
z6ob$6+OT(owZ|xOu&V-rC@Oc(mrTJwT{y%l7^n%*Kv}eA1LBMioLxXwC*mNe9r4OP
zUWrF$b$*TL@=}`hMyuZbtr#rNjx@J^BR!S{ury+xd7qDtw&*6P7V=K}em+8=!16HH
zOZ5!>*)R@pV4AJ4mX9!@(9C^2W16w#VcuUe-EoZ<lw!`TVCNi1A;~^%;?;-4zPr17
z6_*A>y_;d`P@)h&e}`Q)Qw1TwRO@g9^hSL=E*P$D8$zReka)Wk@COKH*rmI!k`9Kf
z47ihIgi;HT&I*X+BK9S5it-Xxi|ib5if+D$l)~a9m?19ync&FP@s+}mh^J^EriD>{
zbiG=;ZdX$(i25o9Xke`0)16Wp9-N8s(owAi!!neSpg1&F&)0fSoErW8C2z?UVZotn
z^rG_WvjYG}-pS0=a$pqlUQ{?>^+2~u=a&76pYzA?c!{7#Eu?N%ka_uqLz*o3Wv5jP
z`!f-q%UX3*@;PM_TGnJ18Drnu3?A69M&aY0AxIQfp!ZZdkO;3?7M=dXRS4@j!CgCc
z^*a9Ovbd%0N^aHQ^5$8jhOymXcEiIuE4p($^0$!^wc}cYV_r`rG^2`)tqtg9r4h%+
znJpUJ1fZJ1#2@+?**f9n{q#QHG&oaFS|IOe?^he`DS#e$^4)5~dr%6QENeY2;u=Gv
zw1D@Qx_gK}4h>>Q`qxo*BHJMpEa*FDT{V|tBt8g!F^0$JW87KTM3x4=67dZ7YHfzh
z)P7Af+?iMPagrj=05e#%WgjDd_tgO~F6aCcQ@`nFfBKYCs6b0wZ<7o<OA{f8c)d>w
z;6M48-Y{c!Iy)yC;qDT(Etd<L69?gzqp9Y^X>+=Igi=^Ex_`#}%3<G*fNI8c@DU2v
z*upbV#wG|rcD05x?>rCv&iF+K34u=+SWOsNJ~aC0jHaFq|B2xhjEn*n`1aK<@!^~w
z<Nk4uI>tTj<C-G=N=kdjF;lh0kMpOL;89<K`@DKrdi4f*dyb#T^QF(c-}O;lfQpja
ziZ#P~QX(Catop|tJ%@$FW~#&z#YFEIc~<&Kwqzh0>Z6q~{V4wm`?F9YD`uDQO0OqD
zDni^{HRX^VK0GJ2X2tpYYNstdc1IDa40J3(*Mym?=fPVu2LY>h>t!ZXM>L|A)}-fy
zYZffat%f!C5#YAVzulV(f@?afZQ4e^zQJ*osyQwm4)uL4)9*_Cpe5w9NPwxA)}ifI
z8WGc2&D^`|0*U`Gt>*RjT<}fPv98cjkztGQ*_U}{VW;0rhNy+zI(Jd2;?9_8(=H(4
z#=`_u+?Tod3m@<LI&k`v;kamAz%j2@gc7{fn?fzE+4xa!aOO&tZ&-do%btBAbp0;Q
z(ua5b?&x#Hf#e2{8%uxL8xkA)KAWrD-|m&yjjN9;FG1jY*T6{t`Al8sEW1khcd1vI
zScKdi3b!4XayxEF!jC-C?S%!H@Xg$aG#!Ww%`FkzXs@P~*E{<M3SR8@m2~nfM&Vvq
zi!Pw5vH$sUra&TNqtWf-^we|-l>DVfbu)S_crEu<ViD2K%bpD2F{~0fOu3oh?qEC+
zX_r+V&W@MQ=yygVg;Ct4W6=}J26y<hxqG^2G7zG@#6HPMQf$TG<!XThr?HvI2Cz2*
zu~(e44&*@Ta`Y_=eDlDxYqRmfe83N3qLC@W^c6qXG8h`nproJQA-C{xVuO^HC|Fyg
zjGo`A=;_{D(Nb#K_;5A{Lo21CFig4>qh5|4s~qwj7)q6;!~vxYUAnbK@<S%+);K8H
z#f1Mx3)H`kI=dSt>&`_gA$21koyg1mGccHrBd^N}7HzYJ*g6xX^wjm7nZyA(8-w>U
za&YFS!(8@h9|V&8sWa9-&?{W>*0nw<{@Sb6^jbBN3eA1;p4qu$8m#cJziODG2A!$Q
z$@`=ls^dSH#`>~P_+4Q%?Gz0vi6dFxJMw1u^*jjEJ0d5Aq!`evmkt_og&gOt8(Qj1
zsmHlv(SQ3@)ziFUM(tI_Nf8c&qi}brpVWYS^15yzcp?vSESZc9s)IhcQ9W3RUm_u0
zrE!y{KpAc!xG7Z@r?$~H$Unj0F+$=_GDRoF#%oi5@y940wZts85cM+<eWEC@4z?Sa
zE>FTIY4*{?Yr5b-kbnwYXx69!UG&iLniP+O1zqsKvd4v=b@c6OkNFi<<Dwr+BjUEv
zu3>ITkMXhtqy2J*3nKAR)ph827ogd9WPS$^kxXS`oBxKge^kH@{NkD`@a;W}B`Ogz
z+`0Rkjt7D|$^B1;67+cOz@Nkx7I=&d_E?t>UK!w1kjF72=`&enmlM-r8Ng4}&6)Vi
zxI(wC0pp0@&DY#LobsmCCHx+Q6Q+^m4uZ)?kcdW*a#hwnnRwKV@kyHrq?x~6AJ^m|
zX-*;WLV<i>a+~9Ukn0ELR2|_{k<ZNEGNL<&4Q5*}eHS5K6M|#fbzhYhX$L13xAt)V
zo1aCi3+9$gw?Iz)`)pWr$^st8pB>e1JCWhHe>SvrTzCZU{RiQl$bkib6(%}>X4f`p
z*t^ft`e4|Tk#@m8W{M=Gf3&s3MVSYNk!U_yODp*C#lQ8ENgq{C+mY#<m2xOJ!t-VW
z(skjXJkCUUOR6#K`i{;x7hc%enk?Nz?^qyUSm)1K*yEh=PM$b=CU8!T(;&>ZS=(P}
zR}}Ty23oLnC;=7>%sj?4!wE&wd3Dv328WSi+g6sdY#@KEl;B_pUkzWi9eK!iCvp2w
zF-rELk=*opI}3=vteVHsTNDP5Rq+_tS5P)&h;-8*LW%fJdh2LSTrAXabjWzhOfXIv
z4rn2Cnon%eyey)H%`Mz{MLC=N^DTTL2lPSQ6!bnpKu{hyI)3r>-DT?!bttlZ&J3yk
zWTRE+D+R3)qxquTRgH*w`HT;k5Wd1xuo=Fs5KitgO+Hhl^a3oUw0?{V|DfUtUP{dm
zn4i%k2nj$&gXNSP<%e{+FE8#nR1DGfz6Ldmz<(p0Nd#E9EX2bN8CrW@B;Mt;)a3RD
zC$}ZPfc7M0_FkK6$+8sI9rbasL_*|T>yMHLcTjWfKPN2n!&?c`1~?gV!l~#z<kVDm
zjEh78)M~OpAkHqNvZo+FFfWe}tQos>4GBpAxiI!{d-Az3rXg2?k{dQ;gw5`*cv~)i
zU}O-puAcGM=RG1l4h`Xv!k#<g0(<8|n=U7r%6`_33UdkrPvMZbiPYe$w894{hr$cl
z!*Q1t%}2Oh-zo<x9mF>j;IGSC+32`z`U7w6bJPA5xaQP%L1kgzfxp0@l5*_ZA!H~M
z9g;bFA2zQ#Yzt-u#L0KrARCB$YM9XoSs*e%G&nn)Aqz6ftEz=8HeDPTazdPk8uVR2
zsbW@^Del}|8;49zb~;*8gpOA|jnajI(MR^ZY%_6%AS|xwXIFT_B!yb9Wo5h4kIM`U
zF4e9VQu4kzDMulj+pnqZW%dV$S!Nc$1n?1g)}K0P5sN%{hC~oBw)|1`Nz8UnhM34T
zbOEs-6<hA~>Enxrh>MGo<#D==&u^nLgu^O|KVlIj^kRzkaE9UaL=RE8?;8?tB|T1j
zy7EJu{R#SdhFRk0!a7O-WDUM`lD*ZR=OMyPj%dDNXt9#~xh?0VH~kZ!f%@+9ZPG}5
zM6W_`E>t%(Lrzu>@?b!f?NBr5yYtjC6$ZW?!!3!`UdJjV(ZGbxeYo2<cGdsb9^|(F
z-Aqum#32-q>0k5P6kE^U^`dh(=p)R`J!C`%Ozp31@yU=Y<#`*$s*RcwNhPbkr`E(T
z?oRiZFV9q%F!hLvtw-v@>u=mGW(E<wZQEYM1|yLy$->(-P}XtRT$3?gv2)|m<7UiH
zU=z3UWC2lPVY{Gx$8$L}%<vv>UcYyr2}V1qQ6#h`8^Mg@Yt;M#WKr-oGC}xXc`Uvq
zszLOj>O})`5y<4TNZ=j5%<staXho&4ebc5#cUKYcg%|0cpTI?`LxrfIzqDSn3i0V{
z(8^*Cdml{P>{`6jf_Ic*zq;Ewe$;sw#iHI>RTD<53hVOO>x{(y$c6xBcjr-yjR!qB
zzb$C>@IEy>ok&35d!K&Wy1^wD?l=1Rz(5=)<kjkaC_n@-A<*uoQwudU{k8y)1%=H3
z=F8hD1syQ?>oCbdNLf~KvT=mK+gk%in{(9nyYapRZkcvPHL=#dS4l%^=h<GzIWgun
z&!JW6j!R(3vZ}fjoo+U^UZm)d_m%s%;4d8naNmOUn}@!<MAu-;e=tE`u@oPhHSUx(
zltaq;aAE4Zp)&er$@}3bdzDJUBJ%mlK4IR(!ONOE*7Tg!J3RmL>N4a;%w~gUaSKuo
z4sWD&Z+@wf#BSJA8c&O+^a=Rt!bT!v*Z@v;4Ar4i9Zs(H`FmxBmvst+LytaiQ$?8e
zy=|<r8!Lli0>tdph<AwxW%zwk9%NAAzc%uL{NXWrecLmg`tqTzldxF?_T)yi5CX?H
z$E0nenw&$5Vp`}OG$zXEIG7U&6&tp$N%I;@A3c11jJ@E`3bwG*dNkD1y2Ij4{4%;v
zZOKB%&I2r|G7xc9g*!I|T+}?x*XmgLL`*Bu$Y{Xm*VS(*mwsVH(|@R;IH>rKrcAU~
zr9l<?=}SU{P$RUi;e6ZU{hd4A4i^SI9RZI#W*MQr?tdlQ8e`ylf@zj0ZqNHKnG)py
z<HG*8^jLAc%7r9NAd77*`+pS->RrI0!aiLMzRMFpdzMYR!wr}Vwes?r2uFnH{;n>e
zhg2CgKc^54M8l|e>#gm|oe~o@^i1PIBIpc(KTKt3-ub?auo;j*`2)BBeMM1_Br{ix
zSlK4?<po~vOR9*`E?GXV3Sv-)RvL1<{_rLS%2zi}u1ejL&(TvfZc4u+JDvO);LJ8C
z$l9If3_HGIZ;yz0j<5P&(&k3Ff6{&mjnS~GxF$lyHV?l@%BV->(-BJ9m<V(SJ1cFh
zTum_oZV@R}K*x|8NsJXPP6j9$tGNMfKb53tnDN(!j9_-u*9744s7UsX_70s_Q{b8*
zV%<$6Hi`GHJQNdo5ekU(lkFpGs!isSiGQPTkIPdYa<058RdgmahWmxCCifP73^^LT
zT2{@)(h}&C;atMF)+lY$zZl}xLZrW*AAS@bluaX7buIWI`Ss(!%%g0Sik2%h?}HL1
za}W^)P)&tzFCXN4v6lCff^GEiPz%XAP5oWNxh(A+-&2XyLjJ-BjkM!~Jm65A@o^6Z
zORmk0&A==R+2zI%B%&6NG$a6w%bJM`haQ2S<aj*ZWqSf$aLS(dXyxV<aHmx$al2V|
zT&WozmG42wCl~YyU7xWK1OzAtP~Kc;5uwH?lcZ+Cce&l`lfnFOaSh`9MgxTvL6ScL
zC^p9{`S<~o!J>fG^N>FfVvnQwc>e`-RzqA3%|Xx-{{$)qSY~GXO@5sR^-u$!$vvH@
zvyp!qQ$;F#K!dog*E<btVuHF^&MXJ|b>vCdsb}NhTULY`_<Ru39=_x|)UzJ-5$m`c
zOL#5+3ghPydq}HGi5}7GUpHssWG-r$U^mU6t=%uU#7Io?5{^7KkD<6g?%cC%W;&0l
zm0!;s>O0x3{b$ypFOJV0bEjj8wRv~mF$%o?p)ejCQxTpL%0&m$F}Nvlkmouf(LXa>
zl(l9&NUlKDeT{P)cYk{@wVfeg*23W1kK=82Gl5y-f>fb@TL0da-;?RSDdc)r>qz%C
zNzke_gkoMhDf*S;ZEi;jh(8rZpDSooV>Y@He+r2Rk$YSwmc&J)08ax+n+OIbIb$5F
z3r5itId4p?6i=+atTC*a+5q3_-k5MWGzI*YzE*$vkii6T=PMfcxPSE=o)?ptfQAFw
zt}(k-HGwm^mjOgTR|TMA3?^ykUpe%grCK6@$uzm33bX~iDU1*=^n4(iE+R#}l6XL{
zzTFaQc59k=Xj~cOP(Xm=G9VL_BIfL5>shVv%5yF+E(?_XoXuahJOzF>94#VUMcoMJ
z#IL)z^_MsnQx~CG)Q1)8i(+ySC~b2=>b2$Dc}V!?QyErA;BG6IXHEs^bIlx;->COZ
zgRuNZUj{f8nA&YZSB(%D+Y*-*6;T`p<T6rZ67l7Uo49R0Y$2{{N;ZX`+v;GA_aPyQ
z#|_;I=T`;jH*y^V9N*JB?GMpj0rU^p|H9@BZ!WbxqA?2835V&}4NkRHRy;P>%1Aqu
zWSM4iaqFZy@nTeI8WkE^vnkFrDL;|qNKD_P(nw_5u=kxk0FZmGx8QNx)!=qbcP*@o
z+=z}4cIXB2nFyI!(ZABFi9)1*DGvs3^N!g^8u%Uv2`ZNU*`r;q2!1MNa(XEb&c)8B
zyYZNo;9;Hd1YC-2G#xgyKJx@6KhrKr=M$iPTbf$6L;*oy^l5qpMR`55!9;?1RL*LZ
zZ)Zw?R&JoqWu~)F?DHC>$RCpoElyVWh!Y!!wfW(v5Dk`#Kn@S5C;EaGY`NC~ML9&A
z#o=I2A^u$XKmz;6x6BbRApSyuvPdo~Bi}rcXzfYrA<KevVhQ_Xjc)H`*TsDq5DYp7
zp^dehcR(UzW9TWD`g`~m+Rvgp0~WZ802J6A6V*$BE`SQzG&*Z>|7VDXi_Xu4y>U1q
zD$Rm9^S;%{ZG~gVgtcVUvy~|2c3MQ-J;3)NjOrv`JM=I1f_d@7B_)jjiAKjy_Zm+)
zJSDn5L36hxr2O$#wj7b~X{%(4L^lR>Y`HE%^$q@2Mcre;3=E0E@gMA3LvjD|#;$kr
z7<}VR!bTuhV#GJ*B!<Fu`QYk7s)slnC3v8hvIEhSsA(19N&qf<$2$jJV0$)9(fG5k
zJtNZFW#=2io?^(y$8iZQG90Se(PsJXgHl`c-Sf<E-2IQf(2BICKf^nwE0lAR#rb3_
z1z~P?ylVHX<}`SEgG-bex{u0Cu9w9R?mT{S`5J_B#-dIM8R=@IL^QzlywXY5{doAd
z<ss?cb~S*uBN;5BfB&INK1V1pc1ijKms&35B|Cq<U8O(evq+Ws)<#0N4}bCz?(vEF
z6Bktl7=%VI+SFmX<RbR~vLr>xV2)Udm^$&$^K@A|<tGbruiCQmCQr`$cJ_;<(JjbX
zvNa0qedfWAi_Zg4NBCX<<A|yavi|{8K&!tY3auszqG&7#Q(|4xAK^gpPmN!m95eKE
zaD3o|4+~6{Ztbai&4CR1kkPkfGnA}Yr}*Rw3wY%*FPGlrfDU`|q0_7xvd*GuslQ-B
zeNued;jJ7f7@*wm@-astLD}O8-&ml_AeU}l$bnAP?Be%z=EyB+pnk`EHuT*yrwm?U
z!xY`MvXm)8P@(VzugC^foY&KbR5n=OX&mYe6QS;iK;>0(Y<L#(%kSMe77YKuGbU?A
z=+x+O`L|On_}$gA`N=dBHVZ3js}_jSa+<@~#9J2V-RQr_SkDCU*z|lykr<mtUQIEV
z1$Uo6sUOW@z{<@I3B%jPs3i7O;PYS>5ESAb>i?ocJ41CLJ5G#-PB-6ITEYSk%X4U8
z6&=ohY4mAH6{D~zqZ1QdObD;v`u^W}8u%yI&&XUAqt6xW^83e_u-)1D#IBcAcpuBd
zYh4the$tWJG6oauo@zS%iKYORxWevij2I>KY}_AO!2rq2rM+WTWJowV=+E&Nqg0cO
z8@tyr;9U3;%|03lEC%cf{}YSRcZ0)QmiE)(KvvF`Ts3X*9Eg)+Dv8k|JN3`H`{)op
zWt0*~Awo!1U`a%)2)#aF+S4IT2gQ?;{EXEEuo0LIS6vXHVO@o;i`d+b0nB0QDLnMt
zmu~p&C_+Vf$zC@(G`JFO;EIN{pt>~ToSrQ99{jml+XyNYF&|#)@za8XR|Yp*JupYt
zSS(BPVhT`Dq)*ge9K<cmp$dJ?k?rBFr#_97!338(<8l`V11?h?y~^fj@O3e(K}3em
z-vu7Kj^ZFR`M;Oa<z^_*f8{*WG!m@UJU5rO9S5H(C(dl~F+=rJ)xV7AkwE1Bm)q};
zg9nMrE?iSIL(_YXtxFBphUt2*yC0))@JBG|<@-R0;&B(o<fXM?&fdT&G8dbtaP=#(
zw-60SwAM&pCc?yL`+)dC95@6lE4#l~i0qsmy1!jT1Wsvo(VUqU46ZW@v8oUtHu1e~
z@jn9mp1*jyHB$?W)9eoT2MN&7t@fh)7X%o1bcL=<z=NPpf8;n_fK)!Q25WN(V5@O&
zBPkOPLr3#96g&BdG`P|A^F;y}s2o-t;S*p&Zg=vw6h4}}ZoBU51p@r5`+2UXmjH)V
z$`VIh_(<1g-lMCx2vD9^G`R}nJbluoR1wcdN79cBKY2=kH+|yL{Ts9)vmK|v?&BfS
zg}SN5KMCM|f+$n1OM)Ys_#LTtc!;y}$r3{@5q|%x(Fm6%!&}LSR9y_lJ(Ks-^|3@a
zgQZOSH!|3m^Mcg3@K8~kiv0dhL{NJ7phdcm0$bxwrhgRkP_yQ2b;UYuI4)0gmFc0v
z6wo$Z<nWM6$G}p0lQu|>3$uDcXmEn|FaNA24@KK5ELU<P!Lnh6<$I=SaQ;?Sys;t=
z&HqCQe>Y5meMN?^rlRSPs1&`gRe^{4Z-izyCX(U))@6pL7c<~vU%KZTRUUHOH5D-5
zi~>qmmN^)vGaw*U+c<*GLuq_nVeAA2ek=>iE#)xb#KS+Wi-kNCSbr2}QbL7;=Sul+
z{$oPs+R&65Paax$b!ou|5e>vgZ1NWhF>d|0LA^4LhtfAL{j=p34W5)lDwjTHft|{k
z&V`S7NT<C2j)gKE?A8l?@MdgyaIzrk{4@_4Iy9DDji3X6HrCmym<>*0r*AHk@X-SO
zf;YjR>7et}F2X{a164T^%AqrSq_JmaUK)0PMU=7~GvORaZn|SL|1%%4GqQ05<qViv
z^)S+>fdfh0T65*q0`%2z|E|S!CLB1sb6==}4)`Y)&WAh!D%|2eQ;PBAkds=x6JG~D
zK4a{X#tG3C|LdJcdzcV;=!%<#vkn~Rx78)b3eoXg=_OLjSzyeRE%@N31Bp*nXaD>X
zB6q*Fn_nMh!TmhhRm{~o&=s4$B5S7^ibyO@&IA@*_fUQvMACr=iarJ}dd$#5XZ1&h
zzgW;{NBwj29S5vCWvMqE%@M8c7{i;+hMOmM=ken>pl?=J?_6PyVy<o}u@bZ4)!F!1
zJt7D8Q4@6MV?2+s2sxx<&jw4=GC#R=HsszAkNk`lA>sSoEhn+(Er&*92QjXfzj|Dj
z(k?=Z&(pT9kgy?yl^WsU&jR}i8A&KZjNZ5Yn=@muVNp8oh1EkQC`7GS+3zhz|BT+A
z`SX(n3MYdv_DM0p?>OaH(Rnc%k(pSgR>=axyN=Z8l?>Q;GWXlLhhp?v)h2R#7z>ok
zkNU>M(4i?igZ92zjDm2y2%-)Pss>U&8`RR^pQk|SLZ=vI-L<zr^nwZBe=Sc;T}Xo&
z*;BgmZDO=7JN3Byb|!q8l-{nALxEA>S-HBWVwAr6Lc;nP26R53sOWbf!>NcA!-U&n
zM48h0IzOHPN56Rys})Ibs&c4d)iE(*X20luqQQVYeizgx`iT&_tw!+ENsKl+U;k)w
zl@4nL-mf2OBfy=a&9pL{81<!OrjD@a(5ztY;r;~=@!#y@i{6TmJY_~XxR3^Bsk=0I
zI6TOAZanhqv<NxHI8G4wG~h?dhY$E@LFUgNW<??q3e|fV?VCV_?JuQrge^D_7RqS#
zeKkiqzZRa%|BnJHj!NHdY{Y?UukpV#DduPae^J+59~s<VY7#`!I7rw`^SxzejxOC^
zJts#cgZ{mwA77qoLeg11mwzA3kl2)T)F_Yyj4@9m@0*%Hojexr7i)$H4N`wE*J{HV
z$qk|N6-^-ayt7KuGeZ_Ti|kDdwIR=={)bnACaetZOJTkgBK2Xk`(_>y*bTc)xo<Rq
zossvee4h}Vjm&<x7xUiB^7B@nRmQ=Ha6r^Y6r%4^f^U<p1dw!Gy(Qj?gFDu(+qG&1
zh_$MH(Z)CesK^aREvd!9`Zwg0t-A&2_5K?PWorl!yW?e*n@|gSt+JC6C<5fHGB>lB
zOn@7geiZaR(SmD-RsZC)@X>j{g)hYO2@n!mRx<5@2Ws`SOHv#kwNK4iF=z0gJ9AQP
zXdVIX7p7gzL40)W@ulWi83IJ0&dqXV1W4L1<+lDG4<#xcvf@w)u%NCSfA266XwEiO
z)73m=bk6_&BU=I-kPAKH;;aolk5zo9PxH{^l<Kk{*!=S?&R?}!PJ%>@#OBhCJk;x#
z(-HoL0N2YVYx-$qpkI=FxMIjd3iuUXgN8)7&~ZK_m`DMs;2XV4i+JdHy>w_RmV*VO
zXRDQ{R5)R_(=qfL7cD=u<mGdmHmI$5BL0M<LC?Fz+sxa!D20A)o#eVU>^V|4_ArYE
zJ0>2fHPmyFXuP@lDvtzw(kVSx6FP)Fy3ia~%|$;}Ry1+nk)S+LJ9n^_4wV+(xox#v
z#Cw{5%>v_m{?^j2!yXK1r0$y1YQesne4XBALjm=fSJE@144@4We6N4vB6pV4pD!v@
z;BSbM(>%@utv1)tGHD(PdHf^JqK^ufz5dy|Yq20`+`#F|5*|A6R2WmWi3ZC)9{oYi
zVL{FQ+PPhucxadBbE<434ea`jdQy!sK5e~iXqv`DJImKbofgrd%SQL>^LuQ_=P^@z
z-t*A@o0aRFis|rg#dv>;0SDxZIyCk5`Dk-&d+Q1&13c#T?WnxMfy(4I`Lb9(S~1(Z
z^KS~~ZwalGxmgZ)J_Yr!80QPr%2GGTFu_#%4O(cg14=U1^%IT)<UVNa*RdPp29*<%
z7q0{Cs_@39Dgk<Hn-n;&jfr_%olSd*4wQ{oeKa=}q6Wr?gLbAYm^q*JwYp9R&Z+4H
zG!zMu=lK0G!vu`y?j`Pjp6I~+g{umhmYAUua_cp{P8M)+NxG3Yb--)SfdAecGt|0E
z@zrx88-&i^pVbHHK=ZLXZZ!;Zq#j&Ou5x691Jfd4j;sT|Thg0K)6J2QCF#(|P&Qmt
z&HVKCJ_iaHJj`0TScE#gh3%F}SkJNDq*2V}K-Z+={Q%6*<unSn8>X?L-^lKAQWhI#
z^_oZ4bcxUlFB%^uv%xPXc1m`Z1@{sbALAK|QA?Jm%BBc545dg}(5+aoa~sXJK2nU<
z#;R_8<idt94+}#F?7!PJtR3mbxP8L<zwR$&Huxg+*A&ao?yM4O?iVpya(!LRLu|jS
zcmwtHVazLzGD057NzezQI0d_tEa>W9TW3h3L*2;!@L9YBRW49_J&XA~XYbh1VMiLQ
z&%E1qQ(J--HTb-CuVDgTHrXj&l?q&&qVs$e37T0mvscN535~4x2dXZR;i$!tp@?5%
zR29K>9qMMllbvB{VMZj7`jz76{aTE+EYMed<b|DY*}ami0U{i0-*b3DmKcSLiH$BF
z{@-IuW%&;Y5L2QRdj;zqH`opOp<Y-|L>&x=JUo~!CEWF9iIGOuWwn<*SPsPmQ(2F-
zU<>u<n+u&H#EN}xFyuvpVxzo&qVG7c*l_S`$Vm~RHD>wv)Kfvqs!I}Wg@bwFYISrI
z5%R!g{MXt^fv<(B)-DyA05ih0s&;eKy@iml<tG_p>c+N}uG54%qirkKMVO;h`NX<D
zjOTrqs-6eRYJzvKo6a+$IWl>&S98jp1Zt5t?#;Doz<+oeb+*h5)h0}N^<LA4E3#=r
zgHJRd=<Wjl2OG?gRdH)v?lci@Z$5qO+A|H<CRIhfjd{o+he;aFhX_Ic?VY?bpaFLJ
z#x|j;LX^|nR#A$1uy5$K<GYEPkVvrmSj-oq4jJt=-+~FSFLvkoDql_T8Z=ne+buxr
zzG*m)s$iU*r2lcL(FEL=whvL!0+bi4+|lwB56Zl%`5LA;AU1cco6{4Z^?7LpNr`wE
zmYQBGSB3+%b)MUrTKPym@!+^}03I$E-Tmm|pasA)b#=w=^^MDS$JwrUc(ii<U*VJ%
zu<e?6{^9e{1HonTrS*9Dta&U<1N&dJ%mx?QcOE*o$VE@b9}fZkjdnJ>36SoPxot@i
z4@G8;tck<=)f%Gaa{HA;2yfHOh}y$L%7?-(`B&m0qT*a+Dq9<pRtG0V@p<U{JGX+p
zSYGt;TltqYNk9*qeV@F5hioFfC61ohep^)PE7i#G=1F2cr<;q8H`#E~t1<sqxl-dy
zqQLn;z5JX9T(o1Ic;}#i2s<C#3_58{h4U_YgE5!5=&|hA!WtmLtt0#2l;~n!{L#aB
z*>NuNi%fW)?WPULqsn^QV;ZPVW)Rd4a*;RxdeiSe+Ay<k+YzE09c*rN9m?LzMV<+{
z8x|LmpzzWc`S}xch#h==*d1G+os<`-xr+>c{v9L{&N9HvWA1%oEEnxoY;9!nC~)pg
zlKe75Cd9w}R(Sg=7bPPOm$8@%%Osy8JDZsBSX#LDZxt8S1xI@~j!@xuSo)jzKo%Ux
zy>zK*gp0Q2^Om^=(qLa(tLFas7|*XBI&I0qdI3fAMr<Dqh#c#0DHqvL^RaT_PJbS%
zf7EnY%99R1Y}u9-bPlWuxaetI!b5Ab<0yAp>2NCrKXxXI18=EO-mVIK<RV*A>fywI
z_-;S>b2uHCxA%RU-%dV?(OzhL`#A%+CSO$rkvhO=9Wf}!&d*rqsajpcgePMe2GdPC
zFvT^94q78X`h!On*xqHr^;t!<QBfCe%)Zn0tQMeiriu3gDJ<BN{C*X2g)WePYLt^L
zh3MSMPe<P!W5JOns}@UE>OzO#^Fft5A+k<A+A{i{1>eNY4LrUs9Cdiu=VoVynwLeJ
z{n2NG!M}YOzf^T$sA8E<-)l3JE7uwl6v764$jtQO79G&w5H25fH%FfN=cl`}F%K`f
zb-ZjZ)+5rwLx(U9eDly=B-g}-saf^ClYcPJ&r&RSw@!q<v(p==KC<Ch!MxoefgGr*
z)ZVRABSOk6zYKo=!iH4|-sox#8}w@kLDhO<M01;KxYo@EK9SlVEzbtePrJ|d$B2=l
z=f}d|kJ&J-_#g3(gauOa>;=j#Vq|n}NXi|{kx_p~2hBhx+`du3Wi6H<CtcF}9ZqaW
z?Iw7=OJKl)_4}**gc3BqDJWGS&4!aG^fJEy<E4t=XQaCXEg5g9CuFnWnL~)81(x$N
z8TS_K^_8F=>Fj_E5eqhCh-fL8FNBBo3yZuZs9FAaePRO>TmrHT6NMB=@V4^(>?lEj
zxQvaj9GGw^M~~ujn*>h=Wv;3kNs#OUWbEI_0OngGoYZn{2=&GlZI~}XyH>=hIjm*?
zr&*-Q?<T;ygspB1UWn0v((jJwM|2qWn5k&Gi3dIE)x%*Y#c2Jfg!};`I+T50b2lbg
z3yf7#80sQ1`e`ckljP9Aa%i6oFAE2nbqj+{zltzFjBzof(coL1-_m*QnvgR<Ty2~z
zLM01#pLG*bp&|_TVS}M2+@@HrSiM|?o=9F5{}NMRhfjSLKTiWHC1I&)ugsBuajE)2
zCo-h{*B&OZ(g3d`NAd+h=7>~y$@0z~5~Ry%kz3|zz_^^20a?x*$!v^`U}b89??SoW
zrQPaaF>}F?dfg1s{RnRquzqrNW31w-7Ii2Zi>Q<ln4vEZuawzi9zK%2tCRIX9Z+yR
z?eJ?M5)K-!NXsBV*Yd$XP75_)!O~}&^n!#)O1bjDW&#1WbX;;fWUT?Nr$2v4kr$$4
zUzNQ3a`2EIEHoEi(SYWQ@j8~d0(4g3SA=Zwux$Ezjw6;w57)mI=h_I+t~7B(m=qqC
zSBA)5jMjv$U$?WlqkQCQ5TFs%paoBAdxl6VIGD>>F}408AGr<tOpWDe0eACff<`e8
zn&snP?Xcvdk0S~-wP{*#G%%n0VyhP1a5O7ypWva(M>9iiUD1Mk`O`K9bUgeANp(`W
zJaoGxYSZcxEjYD4)5~-M4;K9fbJp8<$Ya;)NSAk7aA&`h>-Sd#c)E4>H&q4?1+%#~
zBDL^PAd~rdH^yC^{@J#tU${ty(DcFI7Z0Wzd{sn`wIT6EjqS@4F3J=?8ZEEJ1JaY!
zw?8Anj*C~*FU4_@@5#z$ya@p|N|Kawd&zLKeV=stRxY|t{e6~rmjE78L;h3qG0u;s
z9$9V4MM)2@37ss7;E+IcA12U%bA7=Y&1GElDdzhRvyVhz1q80bm(n1^Dxl>!g^Qxc
zYeMXkwIS^UxwLr$9emY@_9{d!s^9+O+&c#n$gi?@;s2#WkNwj$6Dk)e6|FwbB$7d^
z<6ymQHUngaLj$)NaFLJna|`|i88Qr8JQ^LD;5O=8r?iHPT&PvgWZNjv+s>ie{$_&h
zwsmRgySV76v5EHTS}ODu>xXG(vLLGKe31JUE~>i65<c2YgNkEY6)aa{9!euP9l`oY
zlq!DTw|6uUMGdjD`!Ua4((y*0!b5S_K1Y;pp@Y+o_ObWj9C%Rk^w0(@XCo({IZyV{
zVKB#&=`5=QXc4)tu8D{2l>(l*`Y~Ya&5B=^F*<N^`y@_*%SZ9}qPE~K47kzZmDN73
z1C~dEZ9;STDAZ)&NxnZ5TAN;1n5@+Wx(;cTHcNnRd$|!j`!GLL&G0&%qzk$oQ=yO}
zKnn~y{@!(Efo>0fuk9mU=+XB0_t9904hHP6?tH?6gKb2)rHvTROO^{tL5K`i#I%hw
z+0dJHOJfu0f>npu*TC5fRd<~pq+_0(Svb5l^P(<9HmrRv^~ns81Vi@<tJ!cP$I)+(
zgD&(*9QIZ0Ge;Hn&%V#hu%Y5Ock#kO9Y}c2rgi)^NA+&0;rT2M*cwJw9rD!y{ZosQ
zpC1z;&xWk~nPwayK7Qr{PdPB^_2Dad4&y(wj*CYe*xRGJ`HT_=4qK@oJhxMft~Dp^
z%`xV{v!L?NTP)e2a3QR3X`>jK{mue=6%L5j-}xl*V?lHOd<|Q&1jUM@e}ueaW1f(H
zGB1(|+f_2uOE*hUG0EPc56fvi9mW#pcm}lXsVTpcAVCL90;}s0))&rfwfug84ytL=
zF9&W*P<LaMVO}>2wtp&2z~7*OX^`{z$omo$!Hv^(*uerfx#SwTT~zSe|LxxII}#N9
zbDM9;FcVHxUm%U$B*P|;*%Fj4LHU1Wre=Mau%McM)A5%!l=5+52M<V4Z^*do)^@Ca
z<{7iy0*G)eQ8RtoQiA@xD&MVvao$?-*5MJX-v<*z2PHBR^uF|%#1iX?^*N>{wfD4O
z^b=!CXSo>hQkVApBGMr=s6>8u3Jw-*IT`32AV%&5++~y#G!S|w-HpDi3GsUd6%3Tb
zDB-fs*^ij#ocey-tm3%_guGbS(_JV+&Vzafe!Zmty<F<`3W^5k`##dTyGDfk{%(@!
zJ|}~9^=M6Wsyd9G3YYrYYmTOPK4WDsNRZF(yYOMTI{bz3>lypak=o|LLkT_F&}UeE
zcf)rzj7#~rCXDkchmBv*=4-=>%(cTEO=|Er`jmlNx*6JZ%;3~@ArVY;WRE&NQ-d%Y
zuNPAKnCFkb-1#Mz01o~?+bX)%;8|_V>nQBp`ffIwpE!Vr+IA&N3wd?W*4K0LcNHQ+
zbjRaS4?I}Dc(9G*pbokpXgAl42vCGnPrjgE3z#ZH&pzd<gO`8t`OH`WGP>V%Z(p<)
zOnO}P<={1dBuH5Di7r6ti%1KPuh4?nt}`KZ=^Ah^L)9zt2_LoJipUbq;y~ffs97_X
zgR6p64mA2=e*WF{m0Jf6&dJ=j4{g(go4H)7K#`Ap>`ZPa)Z^f@%YG}ZGdOU&{K=dC
zkcX^B$9A4-#DP=i!EAjuE!bCLVKxxJL$3uXeLwqg5T1LZ+};2Wn`*flpE1sK<|N!c
zq@;y;RDK-^M*utdy4e$57>7fLPuH#0f&p`rLu(cjVPd)CJrj&$Sy8U9BQ9&fh;nqp
zA$4sax3ok$`*M+MN&cOcb6Rl!AAM|#E(xlCSQTzq&P4?W-7D(%;DOUW)*rT(44O03
z$`$flq-HyDy6^`c;{2-T@uMiv>^Jd#`im*b_UCOqbD97%biI-8GAcyI(s!PHX^PgL
z5zfsR6M>jr>3ct#2IR4q8y8lZBJh#i3>_rG`pE9@ua?rG_;Hfm&;wJ{%&Zj!6lufS
z%D#!PE;^XCwtTKAGes2l5g^BqpuRr)coF7fohmfuqG#Cp@Bc=t{Kz1FTG%1BV1mN|
zRdDMyMG4cnv1?r^AX~gf`Qc9{)QS5l@$<PTe$i&)DJRTZ#&@gu<zqf;SKU!=g86^P
zslC!mX)ro-bi!sc8`dAO{CGAP>m4lvJLlh}L3CnPIzxd2mpATZzQTHq{5`wJtIg?f
ze{I}G-#Z+*rFNkD^dcUjHkK$~tEWS}lK1A7wmP7vXd0Edi-*cX>=Mge8DMiMx1^$7
z2LcSs7L|AMP)CfbH~u37jKZZ$ZmrjaeU}9dLT5f&xlBe{c^4DZ7M$Qbd8`ZL>1rY|
z=J^{I4duT4&ICqVP*9h$9?)yg1SNV4&<JPyy6qt>@O%|d|7@)X{{sL3|Njh^c|25Y
z7=~pFky#i!V^(9Un6WbtT2xX=M4M2gP$)}OLPCg&Hll1r+Q^!oR4Vx_No1!|3aKQ8
zeDm))@9%fsbI$u**L@Q-alw^erVu7G5Z?Nkf%MjCW40#;UDh3vJC$Mv`X36O{MpPz
zN7|lN=baqPl<B>%u4fLckK<;|519CTORzzs83#|Ux^VyFD|5J8yIIUhl7)2lYY%fK
zwJ=#rR!wKG1yHwz72ICS!XBYzzHO(qaAH}Vh_bLHR6J@Hv58=zUD-|JO`=+OI70nX
z+gVE>=gSO~U1XtNN#JF|b~ZBWm+K~}Sb-L$I+u8zg<G<#1}6mf<z*J#yP0kUOV?hL
zc$UFJ2CI9pyq1Y9o{UbPFdr@q1|Gc^!b0_JHBv*(40PPJyUS_^AKE8x#2DJL&`~)x
zAn-LEeJ#3Dw-xX~TQOy)!VD8bCU{*HuV|R;D715JFCRMdY^<(iGtp9#@<i^jCT@O`
zqEax=hYgKhD?NEktYbLaRFzY4RDm46Y9Ro<)X~qqnt|MFNA+iXG%)i_!$*5D0CPr(
z({nBZJNM>PZwyhxybYTcKAYr2-B4is)O9+3Y-@9_$x*>At_vRQY~sVFdD}RTMRc?$
z(yz;mE1?>tTV?VBAN-|%V3Z#XeGS`OvfLE~?@f$f=FEqT9#&~pqb3el8)duAQt*A#
z0nyHde0X;K>Juj&O>EaTIX_S*k30S*_2=KVg8k)3m+w!cB6+Jx#?4YWJUDi($zi<}
zWS@Ug*Ve0n%;Wm|p_PnjDWu!ppDkgn-Nk^vCF&?0{y5uLfsDk<wC24LmN01_*T79u
z!}rtN6t7qk4#&K)zbS1AR)@D4O@^!DzU|xmq?AbbH;pdjcF6()m=ed0!&Q*tp;f-1
zg^2TUMs6or7Vx&U$R_QyGH!`ZR_`t#;xd)pH&pJK!&2Sr$BgbP;dfthi(VEHC08!B
z{cLFt=WZ-IKR>RBIoiUTiti9{I*Ov3-Czb9(ffKLK@kVPt+;5|OT+|&En@>)%)l-5
z`8MG~1?<vXHv2}CgfZcVcJf9{!D>8G^(IpRqr%UA?~Wj$)Ps6kr3h0nb`F2&Q%S+p
z&@KFyQ4$s}amtt_n!<hI(^@1?3WogM=5go%85!ae=T;V(K<Kb5&67sKrFROSJ{On6
z#*hzQTkK4rLnEO~;<r3DxK!Crm&oCCd~0ONh%r3bmFSy4Ade}!@AmESkw=2L{=-!%
z#^CfO)S<gi9!F`k`xgx;$aH&W)oW@D8>Y9ntoSaEc~y>|Ol1`C+sm@Qw?>S>%g^@M
zNd*dW18$FsPb*;T_BVPeSB*e){ozvUjTFQoVt4ZoMa;hwke1+P1b6>_<5IIIxV~&n
z=-xRcjLFpY_Et3l7dwr%ra21kXt^hvtDu4^38gmlk38^pky4xsP(V?Fg&kO{V&fbB
zEu%6XSYCx`w@C%eiT(KMeV7`$oT47mOyYsBbW8gA1VwCrRIMldSRKFhAG_`A$Adeu
z-IPrRO6XURS0}WHiVMbkHfB5XVD7U_gx*&rR2gs_e_u^Sk$?B>oLBRp@kP|-;!<U#
zq|JYg3)IAm)m6V4D|ztmZV-*1tb)Xh9Uf$T8s_fr`;otn2Vq46wFV)oc&7TDNzfP#
z!?M40A9Clx>-@*Zi~QA4(PsLd<83-7jgA?yj`2X~Z|cQMLFx!O?-_D|4E%l3gJN@&
z2l8=`@0Z4CAhw)pYA|GCVSi4v%@7Y#qI{LP8>kp@PBYc$2NQR7-8mn}HiBT)V`F=V
zs3=*Lu%+%M3;nN}Tdof`g6!8mjQ$W!<Wb|6opfWPRmj>eH@l2rIyd*yDp?wuU#(Vj
z_{T=SU8yd?cE*tAH=oEXprMsjbwYlc7QVG{|84!m817Z^XfG}4*d=kb@*A0hcS(9>
zTi2Mt8Yf#b$5uM-*tYp!$Wg)dOL<dwdQ9Lwx2LysCj*QACST5M;-J=d$3HEhrm!U<
zxEqHVsNzWG{ua_ky`<WPVO292v<rWt>&3*8w3tItByG$z=vA$%H-k$aMsB(7Oq>cj
zaI{&l{`m4)(t{v#I8rIMyvu}zy_)W4%^EnUf2i=)6x9NH4mi18No3)X7nCV!e-38U
z_4aRnWdTdm+bTw0u`th^wE6m|7B21QyW9$}1kxc<zT`9uzX-28a(tB*ie8y{R3K#q
zW;<hNvlg?l<qYA;`Y1NmdI>uiUbF)5%Fy?<g6mRKH4bkwS-5b|l@*bSeCSx}rakkU
zh22gd@hpdlwHJMIl~3{k{!K{uHL!3_B>PfE8UxKf=aA?F0&b5^etmF~h4<8dUb8w(
z#~$sd_8bzxidlB!ydDb+5{<eB9BF8%ilScH0Co>UCO<u9qLkS3yD9pb_$dC%d3$33
zBmOPL(B%Rz2xsMs$WrlacDv6-Qvv^j{3y~D49wa&$a(%l4KJUE6EBtlSnYi*X0E}&
z_}&>U-Uk&Fz8olXnhHQTvd_6Tf{p_vfu<3El(49I^_LoP0CzGs%e9S$ZR!&~5+;h+
zqCZQy)W8SDfLlkNGHG~#Q206JItAMYJN*xZ^MSDYVS2`4O?>Kbg<)tVk5kFhpQSYT
z@L}kYr{xPOs%95$z9k`t8;Rb_)>K(R|M|YrVO1&~i!lA1EKEi(?-lFC9jri;Q%jQ^
zQ^(eAg%6Ktld$}pXvb)`C2&ZTH!-)=FkP<2&*vx+uh>k=MeVi(`2{bEWsj<&_AkQB
z>lp%ir&S(P9<_j}%MF%4-BmComUnORDgjS^=H2;tzyb{A#Tc_L${1=tzG&2&fb5{#
zv`>@fFx_xMHr7iCi{oyt?At)VeeV=h=0nXv(TSQA9jA!#YrhkSTL{>*Ie;-fX9nvM
zX}8ZmR={%Q%_4K*1oXKR_rx{E4C;;lcFU3#uxe99ziT-Gt#j(ht<q+&COCmB6+uD6
z!Bd&cMMNZe=c%`5n1ZlzEyr(G9*_PKu`LKD;;!nHwiirOaPB|!clNA2W_gVV`Trmy
z$!*tp)p8Tqv~cOTr;R+)KE93I5KThj_=W8pdlOI_S#4y#P#!HVn4I)vk<r6sX~e3J
z#_&7mK>%q;4w;(Vt<zm(tck4t*LcDhIz6o#4!xGcE&e7e&t}UZ(X+lmmT3&NkwJq$
zI^@vb;h*M*!}8d)L?pz!(FmNJH@K+&ki(PnjP8fqDY&O{-I#uu5$GhGu|7?e$4J$y
z`(-vOAi+nu_nD3n%-c<bee{sW3%9zRTed0UN43wwX&-nHw_2^gtwJ6XgBG2TI;4c<
zg|Al#<?`TA`O7nl1pZq7Oz2>BrZOIxIaV0!%LDUxKfP4~UxeB$zW(~H3PzSYiD#P#
zIDgAVZiSxUdDM+UbgCLwpH)wNyO;+G%eUTq(xiYhw{rD1hpA)Hjivu8$G8wx(3BN%
zLJ@O|Wp8y3YM?=#z5R!FE?7+aYH8RhVbCC<e{V4rYd4|T^m8uwHq;oe)=<W{A914b
z{+d`OO6bXY$^}2q4VRBCRKZOV+0-y28fHwq365*zf^1~IGE+zurRr%(91%KR*j#Sr
zF~9}66FV{vNT{LyoGBUF=y<IBfpD)74^F*}aq`emNB`x8D4WN?1iyIaOnn|aUXpXE
z!d3&b*1O`F!%S?BJY{Ao_zscR9L0Z_Qqfa1P|R%w3j>SxI_j75VEGD7^1ruKY>M=F
zl_}uUODW?W9nwZnZtY;(CE)+-7mrl6o7s3>^@_H8uo0LnTQ|y4p&>zDxXeFV3zzVW
ztt!44!HGTk#m<jt*i|5MIiAhI)PkiiV*-rf67}Wc6c0LnT4qzWwVZ>SHsoC+37f#@
zKe`W|3p23iT=mL)eQjKLc+7WojtOWOh!sA{WT2PvrrXQnweg|u(9)c>rf^jEzYP-0
zn7Cr8#JAZxZ6qs#p6a|Q=zFctCsr|$xG-g1aHlptPB1lHS!o6tw7aQhMl4LMH?b<N
z*G7fN(<jVB%)xxAm;c9WES%4&TYDu@8|P_N7t47T@aXQ1nUpyeCVk0#;>6NM@2WyO
zz3&!aZ+k3v%$ALf=gh1*85~@ZX>oTr&l2>%jwJ~Pvyl^O=-$w;h1N5rYPuV&V0qTz
zD9h7qbet7Tl!z9dew+Kwf7A*VUAlH9IgyQRrAjC+&PK@ux8&duKBS+Oc@%n3;D!3`
zsN-Wy9DI2}=h!$O-j1_HRjt^lev(rnj|^;j^%ozo0fv@|Xqo(Aq3P<W>ANv>WaX%p
z`q%@MZTcR}N)hx0nzd`N4Gl%*6KiI@05)yeRPc(zLSw0H`^`d{C~_+O@8N?06D^0Q
zP9!ohuhgslX1oSw6!wfR4Fqr-43`j{VBqU_=F1Q1s3Gr$DE#LQFzUQvV#O*3Hm_{>
z`}mtO)`*b~Yi$CMUQ*(->l__h^%kh{`xLQt?^{(n9zcAdr(<vz4Rb<Rq0xdoAGT{w
ze~m1_`-QjEPpJy}N%S!jx`QBB5)bwiJ>|ne(KVYQwrip?Vc4Pn4H+x?CQQ|L@`1r`
zdj0Dv73W4?+#fzeLWZP;rs9MZH0%>L%x}~{d)0WdW)u;9K7ZYl8D<6H-hRPrcB|v)
z$MLKq*9mw)-!Jy~oF%*vZ8vq3QNtGU{yMKOvM4t*_k2gBB`EVp@++RJ-~-wDXvXkj
zEMto4X8*MS7q|XXchi+onz3`r!*DTfSz9|DcGv<GlXE*oBb3mq23MNDlEI2ce>8u7
zH;1C4A+cYfiWuVitLI<741Q65aC^kh9E1Z*+MSaXa8JR*p}i=B>zX@L6u+85a}@t|
zP7MW5JnhhbPF#$Ow_AFs`I^Dgv%yJ1q7<y_`)nhgz8Iq=cmIm~Y6=bvGRfUb9{tp7
z7S-FyqM5Mn>RSP(F#fJk?`W?a_DHt|=#U9moOni*@Y@6&efg`W`~}=r`un5nJOLLr
zZ`vkw!URk_m*2Bjltbm0ja}9{L`<xq1ho=O;7*dI-E=1zn~#b8cjPq@A1XIkzrJn^
zMk#mC`Q9PpOmfwl&j}=aTrH-&!Q2>5=?8A7WRcPPmwOP+N#NhZj5ilLj9}m5!so#`
zWUMXTzh+ub4!ea5DrZBDpff&+Az4MnMA3q4yA<Vd!Q?N~77Zhas5)`n^Aj2UTP{}~
zCR4E4GcMS#kq6d&Po!uZIc)l-9JWV80jIZpxylpd-k1c2&-bHpxO;Nd^8FTyD7)2T
zW14{H^!>~KC4QE}eMc*`p7|<aVMc21)HD~eR_X97cFUvB(rY%kH<i)ks;1Qd3b>ja
z`Fq8bJkp=YtFdNP@M*?6jm|S%D32e#EOm*3k+P55ZFZ_*2|vj!XfGEm<x`V-HYgwo
zTbpXz)X~Fd-F?TkTo@D=Tb-n=h(RI!gQs<=xMJo?5#5*znI$6!ho%&<nI<V`^_z;D
zv&l!Y^tkXZy{kCsqY}0|I{0pUsfk-xThd~eaN)f}lqG#w8GAXriyv}m*kUGCpKZy7
zGKB|wWT#c|6HSr*@)#W*9L1&|ZsEfG<@5^)%4&E|@m784E(V%TlqMELaUtznM$&0}
zbzHt`A3<sb6JLw_R%%po;Zn8Y`P$POm|WxF#nNKozIgl19rIk+^3ki}!G6Jft$!gT
zEWt+6k?Y?*1idE4ZQU(PMNKrlN4w@S$VOIu@POV!9;iNOKYru6CWf{M^Y`A-Lf&{O
zZy(nP?hmJ}@DHP5U5b1D!h;<A(^97`R$~NyQTpGjbm(Y*&8Ov>x;CZ>7o1PrWDLen
zUX6zI(6K`-H{PpM8$Z-uilhBCh7TgH{dVyT9N53`hO?dycIz)r4lFSN^TMwu(v~n0
zWOnMFkI}(+wdjLa{7pgb-c^g(MkZSG&TdUC)4{d!&Z!0_W{~4jHmSRvg+EMgM4Hy<
zp#Mapq?v>{eCca+IN8U-uR<FAN6+h^x6{uvyl!*w4-6f=u#Sy~%zU*y_&Qj6?b9an
zTNY3_cm3e`0yZkSNYreo)J93RtUM*$5^CIErcI3q`i~KXxK30XU3{+lAF#B7!8oU|
z9Fi7ZFcp&&qjRuVc;>>wpH{%EZQU(O)k2NK^_Lrzw2<*Gws<g|4^k(CCzcQe9<A)C
z+dt02-7b6e9t-lkRX?Zv^G7yjw<?+aC}1K#=GY!-2LK=2J#n|Q*chI(49y)FcsFgw
zw+#^hKiB&UJ+ffq_O@ql(nn~xCp|xB?h3%K%so~A9<wm{(Dc~a6PgI8CdGc<2KaAW
zS9WYE3%w*qTn(v$|4(^#Hlhq5cyG|DsMAcO?mRnRdQJ`B-FUUswgf;yr0$GVCj+Yk
zf0rMZQNeLm|9i8`0M$J!tR)o~c;t4vylbf<rgx_aCr1Jtxb|9X@j5yls#4!;eTIUb
zK|$nG&HyodAFm6MG#nvhXVm4%VXw8y@)H8D?eAk=oGH@8lWECoG=GyYCFR1Iy!U(%
zC)G-<?xvz^m+-P%F+{xdH2UE&KR(=9eenY<reY02wM%Us0cY=BbR8SF0_974uBIld
z<HTT+$MEIFcp;Fxcag6ZJp1>)qnV(FcYH|CuP>CrMyP&TI$#OOG1tbE^HuP=9j~>x
zeG$HlUrIXRWC<FmBJS^~jL$+n-OJ~su)A@&?SJ(au)(1A@*av3HeE5j?h_(~;@R`A
z<t7%ePF|*}_oo6bUccdYv6&QZyQ1T}q{ti^$G51Jf2H8je&5vJd?{4gc30}Jx}b+X
z<Vx)QCy#R9pBVTZmqNFrm3bBC%pii#X_D2I$2^}MDRaN1Fgm<&&4eKT$A01OJRU5E
z**^X={+AcwdFsMu*;A&VxnAGRwS$a>oUz=U`=!x$%R}u$;-+wL(T%Mn0hhbFg0=a(
zWzaI|8Zq#c31~7hy(PbpP-qYaY@!z<aqFLV>ld2<(JOIx@&yt`Y0%Q0pUPs1`m1`!
z3&v0tX!~$<2MHaeUS-9eB?xl+TyqV}80`7F`au>X+`4s;YqOb%e{b|IXsI-UlPgaO
zhc6}J26fMT12zdwPPQbrY%~H9(ZM=zGZGS(4b|_EB%^U_eVX_;9vHd!B$c`f)>ZT@
znwcTv+~zHvk5YLMq;hfDXc7s9zi~hBn3uyalLXt1W<2QnA)$NwEeTa@56u4+_+qZl
z&`EKG3-Y{|8TSmy_$5X|biJ7ZiUqdBMr3he=EoHMQ7#z|o{wGFAE<~kFZHiYxN)I}
zaYgR7z%Sw|i>BDMO32Ktod2oL1(`De4*TllaMhPxlWD3dxZvZf9P(E~kd8UC`;)&s
z9@ZGO_fA&DBAE!Cua69&biuxC)g=_vE|$)$BCF$YuU#@T%MixQzP}R@Q9v&nx#=Cn
z8d#G#wK?*nA$Xehagx6%VBW~^u1`f&B<;%GTN7poX3rChuY6QQrYMb)n4pQ;CQY){
zp@wkdhJ@PWPbJ)*9-_ScAPrqV{rJ5-#t`mrldR{-t6=7)k~a=J=@>P7d%@XELnsgB
z)ct3tiX9(LTK{llpi^jZfc-N=@Y)rSKAfb6GPZ+W`_?e=e0`RF_^cruOrTe6d9RM2
zF#<enS-3p<N2kzoF1W?k)iu(oXxt}uV9HF8LoEh4C0DpW(p>w&sfUWCNpT}(dRiEf
zQCg(EkOv9PwQGbgX`*D9#Ip+u92_&bcJXsG4_rhKw5{4o!%OW+t3)R`I6k}IfIv0^
z&pZv+RqAxi<{T>Qc&Lq5Ng+zUrABaVwD0kM19U74tB{Bd(7~on;eB@A#&F@=hj7Pi
z2KuIoRGEnAV!2zAW01B9)aB<#&bTsB`{Hp8LXa+Ms<*!<&YD2=;M=i$DHhrYbxXTf
z>f&z0k_S2OOrem?(w!+`;iC~!ibSg}Zk_uZI`PO1YDaFpi4^2~k)eRB)-qlEb@k+H
zx?p~<Z2WTa?o&1fwgl$A^wP!q-c}V&=@!tq??tld5-mI<q!o9iM+fcN<L=8JwFF2R
z&RcL?3ms#gAMRAs5zI@p-{4k3UUjYHc$aG7i-}+bijFo4`%2tX)#1aJ%iluW8??}s
zBJMsT!NH)-+QNT^`S7yArzH!u&}#qYe7RaS?(_CJdvOIo+VyVRf^;pETd^)S#*u{;
zm0_k@2>^<rFW&dtYvIcSy-KOg44kmyd>wuS&=fzEnDT**%UgG|l=*aweymxqHVhCb
z@@rAcPBz*t2^bR>aM$b2QSY2tfZiPnQ$Ye>NV#UMuU4g^P*LrCgNQYdn=fV!Nwct7
z^3ok!Q#Gv9X|(nhtY3P^t7c4)Gmey)ek$}-#?C7D_N-3;f6Jc-=N@3->Z=b#Tc0Rk
z24(VKcRj$Fw1!}IDjh?emH$-llE<3sNoB<Xk6f4QWJDFw@OG3zn41k5kH`L8aa+(k
zCZFxnj(MVqPwb}Nc6t->drI4aP+fr^%_PI`3eI7JL~j={R~G-BO?8#%;KSW)-%|TY
z4ZK65h?LJsW9#Kd;oI%`P%vOVO}A9X_%h#T<?T{vpLq|Rs;$6fm)|AN3#xeT*RGyb
zbV=;Cc;5PtX$5;yb`<4Hs-WxI!X+_13(@4SZG=*?B~-msE-yW+ge|q=2ULHHW02*a
z68T>iP@ptMI%lGYT1OOeJAK5lA}?!1W19th9;=zS`iFwUA@d=#Y;jckZQIIuY7T)N
zZ#HIk$fI%iKJIB9aonY;KmJqC9BMoKU4~xEVf2#U7NPsZ(bkdpm2$}p#A~;=uK!BL
zN4H;dN(aQTV_(saMUrOlO!bRRER~FTBD-y^Vi#hccE_CI5mQij^SuA#K@tufH&0V>
zlECku+9mrYOh9P&u;r~jB97a-h}f@|#K@3eEA4$v;7RWBynnliSba=-f8{PI+--J$
zd&MVXC`#;;_#sY2-Ne~5bb)tvuk9Xp-fIl=^hb4BNWeAchfr!#8Xrh)4tD!y1jTl~
zs~Bknbl+sDcxm5aOwL`E|0~Q0HqQ6`y%SDAv2_m?zZ4>1^v#1Y+a-;_V3zD27e)~D
ztdo+;-2~*O{7`?D$%FP7YTJTj0*dN|ELM0X*st~<Zlo~}hB^Xf&Xp5TrE^er`6CkA
zPt&U_-*TZM>bh#{F9LcW%{*<_Kt{VmbI#32xX|52+3jIRM2*-dD~5*!ynp|$lfvf0
zkZkw{!fhf}IDD-6CQrei=QmbPb{fLtA|c%x4ha)q-PN_)qJSC)11@)^8bbc;Hr!D`
zLT$^AYxyOLnA)b(V&`ZG<Uby&Vq3`wz4o1BN`ii|F7I`-vLSR<_aAH|%AsR+>h`Kj
zD!A=|cL{OS06P1Zj`j4&;bBI5QOq(mT%UE_^hvz|OjDnGd)CM!^$N2%rcWJjt<)90
zRb&97P0>y9cPKcPbBWcofr?QT+O0*G4dCX3cv=5S1?-V>*{flxiJmp*yzXQeKyqV^
zyF!N|MmQvIzG+Cqp+ekIn{5E8yO-bFE2)f48_s`DGNfbXfN#r4xdF(NN3;|+sNe<l
zlv5|n8F)_8QFBwD0VLi?PD;6{ifI)+QO{R1QRA3FJ5}BgL<THt#uU_%dR|wFu#JVs
zPsZFmyxkBwN?lgJPuIW*mnNr!0c=dMK32cC!VvQAwfVHBQBluBSHn@j#mf;F$0k@@
zxaX<T_rYBgy<d4w?o8ldiCWy@)*D>l=3idN<O=qEu5lpYls5h|Em?5Nng=;Iwtp^`
zqGSEr|0vRjbnvG2wV!(9Jm9?exo*i29s6{j6o;?YMc2GTG23n%L4`0Q{Z}~y!v+Wb
zeE+A5pW5H)%ElPO<J<MF{im3y=KO85eX<^=RVhiI5}f~UYKK<%Ze(H3xuK|_2|cVX
zZ!b4>7xe2FtFj);uu*^Ue;1#r>tj>MXhPL4Gl(oZRr9uzjXy=UElVKlBbzUQ&wS0H
zu(qV>#6~U5wCp_?(4dD3W<z=ohXuJYWtHjO7A?FdDYiw#S`QcY^fL1VzWDv-&)qYI
z94z~3>7yK?i`<*9%E}_Gpe03e?D=61o~f^Ok`s7PtSJ55MnUfNTZI>HWN`4w9+mM4
zJ#Fmu^L_u64&e85=Dx={4xUJj%+RgY!gb9;>ao!Pu~Vm4sqg3DTpqjMgUZI;ep4dl
zZ2;b+fwjsS9DM#IJF?b?i6fyiLXSz-uw-V7a8ZdCO80%4Uy)76qVbgW2YhR2FMK7X
ztEPqXtIda$+BDJP0QdI}H)}Yxc5D8C9~<{?D^IJErlNk)i_cn~){uRU8C{<%@Kcme
z+nW+q44paskh0YpB5jC|ch)n}jj8@$P>2#Xve~Jbw$|XRB^MCZ!N9I~v0w4WDY)p0
z`|&7sYZz^ii2Et%iCJQW>#W<zSbTHwnY&{E{{sL3|Njh^cQn?26vyqox9rVhJ<ns$
z=UPQll(I@jDM?9I*+Nm#pslirjF43N-jG7ShU|*8kS%-l^Y1<9bI<2<&*$9N`(@{D
zb2aU=Ji0EWxcm&^M;G@X8I>vkXYrBIm)&yMcX-e=^BoT^HJsVr76dTvJ}P~uQx=DR
zwoP{L<isOi;v#%i0rUfW$~-D%5bjKTWeZ}%igVX5u-DSy^?#dn*Ir8@|H`w^fs!nk
z5lEGl6s1APIE7zmRs!|bcJ^9rW5S)H133;S%^_sB@90^hO-Q%XN~3;;0X>ax-Z=B0
z8SI`lk+!-mhU+P*2j4L;;OavKVQUpLDAg(MwwDk^VxRcOmgDsJ{@1!iL%b=tx;jV<
zJ{88da`99DY0~3t;e$t`Urj(KZ|jbmr-iU7Z!CeEN{^A}_*_CwO@O&UKRM1_5VOzb
zg)Rouqo3ROj-f1LNU|i%_1pze>X6USwqbhYk?OK8WH1JX;L1jZQ~X$>tY0W{o&o7O
z8Kmh0j6fvcxoWY74-1pGWaR8-#M3AE$XeZo(CC~W`Hz<mRnxPnN357|AbyVCV~Zg$
zX@uYS#L0`ySKV8d9hp(+V9Q|1GXp58)U;yJ<iSK=so1_q7R*+^7YDiq5PGC%vq3yJ
zYP;+u2R5)G%M-IU{Yrh<RQz3EfrT4i^_wa6DX^msyE6G9RUf=sHf2@TapAkAqppAN
zaiHUel&GdBdf*c|!$5b73p3uV<VzcH;c{qCaJH2m^g3nr`R8-t`^k}6_`{7^8FU86
zKIuYLn?mEoJ}$J~dfuqyDKGjuV1dVBU1+?NdfCyC8#8_E&M<ZIq0vxqc@Bdv;C{cb
z{(5fQx>Zt6^(#M?hh~>0<><f<)+1*g9N|Gtv61IJ^8zTei+#w+RtG!=74fJ!FEX8<
z++?jFgo0j|_`GMSpfOGhNtfiq{4Mvk<@*YwDx74ID5S#Z$oBEbhkVFb>O+{+iD1Zs
z)T;|#RCtzR*G}EZk7RyPF$*Ozv^5QLjgzN>BLuTBath$3D2KgYi^NfNyI;f3F$&y%
z9r18`j{vHtdiRUjNZ@U~N(Om?0;0}VXOo@^VsGcaJ#EX9_+5Ko;>m3aFt}>+Nk0<8
z2|Bt<XIrI_|HEMZN&*GEbuO!3B!n@m%0I!vT^2nhY+8mxDZp`kbj{?42>OgCg_!P@
z!{~@<)>|8OUpLC1NGUM{dliAEBl5WX{AjM#84845oLLP&CXN}*87wSG3b>-w5J$aF
zfgPW1hZVXu;ju<bmM6uEICuY;>6`y35d5!CQq@@!2X8r_{MV&~rDXMcA>34Oiu^{`
zHY9~6aQlu6hYIetr#>&)n2*?YvTt{~3`W!!jfaCOJ~}rt-~EOP?lwjakS~iOO{tQm
zp=u~!Tcp2biw-ncD_+k@mBaHtcuX$ml29uxq*mao4kV>qeReoZ9!YtAF#)gC@$gc=
z3H^CpI2P2b66~jdM;l#Ew0zRQwCvScUnf0i4AOR&bXCOVhMC_j&6+61N4ITKTOS-P
z+m=mim5{N+Sh6ou3w`apx-KgjK*rC)y^=c0=#_A(gw9YKCGHpTIgkw@D$u0jtdI&i
zw^@&D$<s#vhsXMa9E?C&laae`NCh=!KGtk**GBW%oBurvHwGW~uhX(cs`w`U;(srn
zYNK_vGRxlwCQw{2-@C<84OgNPuerHuqYaatv+p-k5S-k-?)X^^Yg?`#rWR>ohq}S5
zAAII8ToRml-I|2^m$$x;d!UIPhnhP7)1^VrH_K-t=SZj*^_Ts-j|NKIKH;w?5Ae}U
zq_!-Fgu5JwQ%8G9Xydqfzu_GK`_&s%?<*vn+)GwEDy)W@ZCky7*#gwV?&(DDAz?>E
z=VY6*3cegsPik|wfZ4ycyfu?*=>6DI*jPdd&9obmwQgI$Ug{fh2`@D?ZY+$IXHdY&
z=*IKKuPorLvIrk@i7FOoIbFX0M|R^}!YRK#3rJXQj_mDF!H|(6TcKA{*zUh(?Xyv@
zu1lJI`&}8Ok2)y;Qb4W0dX9>t?zq;N&1(y2N$7rXtxpMkxE0l&xr-p@Rs9;hTnh+T
zuKK0Wpon{Xi;6sD1@YaoU2|5D1r!Qir#RhH!0@w;i`v$Fs9^Zbnt^Hom(K~?mW9jX
zvFG=yZ(ZTUP|r!9?h%0E4{r;0ILhH?BfGQN`&iLBcz3byEdW{!yerd`#iW~&f`<kf
zk>#%FuTmR;{H|O7$STsfmig@ZA%1%7=A!fd+D8M2d)mI+IVADW+=}z<=W9g&&*3nN
zG7T=Y9L!H+--LPf;pr8}mWj17!(I8u&4F%}{brJ?7!GIr8=e$dB>E~({$Z&z18Jf1
z+#G)q9LxG%zd2)`P!O)vsbMsOTIG7&^G*og?v+;Rd_6}zPC61;<!A~EW%FlET?8@m
zY0#;H%sJwR@x_#9_e}u!B`Ro40@%8LbyDEh9PyiW^wIWNW5^0JaA@e@!x)Enwr}_6
ziHwE{|3-UbSjdp`jZWu9p0p#q)Y=7tWTK|xRA>Z7r;VSq)^cOS4C`B8@g>4FNi<8G
z)d=qHt34Aa!-a8CMU%v{WkUQ^+8^xzL+Fz1VWT#3VA-<$JY=pCR~C8&?tU_Wi$6q4
zKHX!-4_A9!E$^)p3vF}!{$K!2+xi>DAF&~2(=oO?N9gd_j~xS7H#qX`y#Jnwc~;cl
zQa7M`YlE9t!}8@+^kFLUV8rnNR*b2=G~4@?0d<vA{YA6&K%ScsR=HR){#`6vkscGe
z4UaoT%jiJ|<=2u~FAFwIl}<Y4Fr#8&e&zlgU5L3RvPbJ33qJjke2!Cz70a(4n0v3L
z3w2grN)mrq@Z{yb_u&K^<{ZpA_p3$+7I&wp6{)i#&sbR5&66CML8)(iu~`S0ZWtVR
zf0-3sNa7r?t+>!oX=p0`3l&C0ei?m}V8i%33K>~c9z1OE@`PtN6{bZ8ilSTCP}(Wh
zJ4%iZUsrtNNfV{Q-M_KK?OW{VPYNK-n(*U!g@N!r^%Q7qzIiw*odf%A7M*t;5x_|P
zk4qf>6j;Byda0y{6Zh`jDYm6d5Z$5zf_Nk-utHatvHY70W7X&5li7vQ($+bo^Aj0r
zTI&BhZO?=8p*{nx(IWUFC$f3?Dj6vJx~$>dytw*imfXxGhP<N5vqK(a;FU^8y=Fe-
zn!WQ+<cT=GJW{Q3L4yqI{j(hFHT<Yt$kk&QFM$^WE452l$Uw~fS^4`+09l$_t_Ar^
z;kUub<d80Hs6Oqgz1Aa$vv&mURGpB)b4(}Zvma|iQoDV{3b!yms_Tic{!bPc4;84m
zRA|GO33-kN4-q76(rTxt<?yT4Q6aZxZFu8$D1oU_6dB}645yV9Q0@%*TiuE_n0+|2
zwAor5C#d`0F8M1WL%HymKWb#iqDz@=9@vB?$sGDKPnEDt-(E?{pA4~<EPmdZl4vd+
z)~_V0f+gZU0VnG>?r*<i;p72nJXaU_H8@fg&y3VUiz)>)NVAh)lw@)1^YXTmA8NS1
zo}exGkOH$S#|~dnl*8&XyZ#1mRmVpy7o8=yQK8)W<JDdbc|0;ZXDV5&fs5W*aRID4
zpf;x1m}9Dd%5f@!cNR3!WYNo2^qUSilyRq;I4Pp%)q`T^HMH@&kJiBDE?rPl$%`^S
zq=an2qy4$kWQ;n^zBBNT9>_+9$E2KAM!pkuF*507EJ!_KEWOD94mgF&nJ25DVHEdD
z<sccI^pe?M`WV8`52^3pC#s_N`5v)AJ_^=<d(AjT7{RS;kJJ@{)Nu9SkrzY46kO-_
zQ@^2Z0(J(wSYBF?&^*0=+w*ZU?i`nP)3|F2<JO~Fr2cO3Bl%YtS0))}O00fY@tA|=
zoi^{uXm#|eo{3)KAY+VBLWa#r8f0HP6MpTBI)-%YJh+stg}d+E9B%Uh=vO?h5yzo{
zsw2z~#k(|6yxmdo^8$cN16^J+lLmUP*vT^!B&`41<>!6c0<I*q<Qlc8<Ku!8;X#3_
z7&^4Swd1D+>=3$on9WTcInrb9e4bT8j=Wom9lDl42X;4X9+R;7XxB2w5e2Lbs5rje
z-x9VJz7S#hrH0zqC0&mU$|8we_d7Ph5~O98bU*%4#l4JsSyewv;?r$2Mji2%&^H_&
zxci+7;*>{>tEm{q);&B_w9%)UQ@CL0nlfgKp7`drE{J^pEhPRkwFG0Ow!Jdjl<-^W
z{z?Z5AI>BdG3)-bfU%Um@Sr&bydcF|SNMz_`vmGNDyl4?;Dee^&&`dzb&NA+h?5Bq
zbm@?4_F2H0^3&(<)8vqAFvUIc<~m`=cg2=UX8|l1Tr`gL$l#2%3~AfIJh7bk<WpG|
zK-Hstg9f%zSbC}HOa03!qIBVlkA)$?m>V<Qi_T3*|2Ir!R(Y7Hk*wLFluLt5v(OuR
zlEpA6%BE6(>mczXC%5-qr#Y<LuQhqRPXx~t{?nkB?ImtVn=tO<Foyu!*dBRLAw0Lc
zQh~wZ6VZ0OjYZbd46@Z+c9xtIK+m<3f@>}x2<K|afW>H280C}l+5eRfeIE4ejxT*r
z+@qsbop@man_~xE*lT&Pp)-#AndL_!et0)iFQW;ZxqZtdjd6n`2WO5H=yedLmqrtI
zY&V8W9b4sJ-(g3_n<EcSxb+afhU#;BvW!5b=X1f07*>px%jo!U_$#q&Up{kS#t<eb
z!h6&6n9()!k6`SzL84@i`A@ICA+(TU?(=gnA({7Z{6hUtVpMZ7RP=!XB&jPqo_)Z8
zZ24Ma_7cMc`}=d1D_jP^?WLa?5l@e_O!kGs+)?83pSs-#L-Zk;U0*gol@60WWw2>G
zP7*0fVJ3Rt^dRr0AO|V&AMrF(_fl!vG{LyJ$ZUtB9<b#uH`>~+6GDnc`Z`H}iF%JC
z)wh~-fzdOdLfB)CDEgv$Fyz7<;UGI!#bBljEYB#Xh{vnM<G6v(<bnl)dD&kxtWF1R
zHNQ(Y*t1HQB%M9F)UiZxy*ST0Y@`F{@+7}d^i~PqC;L))C0B{g@;TETFQ_2D<;4d%
z$5o<Q@UfIb>^iY`WIJc!W-7E_zulsjw@Q3olyFRmr^Be7JjRpl6gYl!Yk-sX8d26{
zw?(Rp9>=fb#Ax_Z;GE!rE38v%#8$swd2GOl`cJAD{1?cuy5qBX#;<ikZ(wAzY6BBK
z7Ut)#NhgE4wEuxoRyt%@`OulRp9R}`)hARocoC?QWm`~7hcC9aeooxrp`fr$<I9^H
zd%JK^Avu8_dop8>rYx~zh)mQ3-%l-Avzq(q<<Ee1Yn<ad*Eli9{nT2nffn?A$+FlT
z$cW`TPsY9{@!;CvrTpa#O-NlX5o$?iLMzj+AYjFZ^<K}vRjz8lhb6|QL+#9%SYBb=
zmBNqoI?^A{9oGO?FNIiH16JJg<2Y?;Q~-4ZJp=tF)Pc^gT0jxmkmr$<d1rtSs{X5H
z^E#~#{BmcO29I;#%oQQyc1{sg*_rnWh14O%Eyak*jtiS!MUCuzCyHr_dCU9+2{OmZ
zqWrh>;Irk#Exk43Nc!2DpcqMl=l%IEX%>9=_J!n3dXog|<p~dLvL}IK-S_*7q5KF9
z+*28=Qpo6eW9%e_1Oj31k(rGGxE4_*^GRD42cmSEgg5GU4|~r?Y6+p=PckVkTn^Rl
z3k$nCkU-|>s|Vh-!f0i0Yjd?z9*g?RC%95c@Lu2hY{`C6oKuKudS|DI%0J(qOdchH
zr^Y7!cvW#cAksL#^^+3LtcUHo9;OcTZys|$6p+9GyOv(dAQk+`{Z8>bSp!CP?!Ol%
zz2R|7n>l->)UaxOWkf(m6C494d4la_kgNSJeP=fbpQ<)W%h_tdX3~df#kaC}OrHFD
z?+pzsxn8?gUa1ZCg+EQr=;bj)i}bhLMGLEc<!L;wAcL<~;Asvk1*|(VdU&3hjK$AV
z7iG#eyfP#oAEzneU>bvTSO*!8T1WAHX{SQSvD+Sj-;^-+@fmyhOB7_TasHhrqYLNF
zeOb+QR4|Df8XL(}TwxbstG}uT{%@Fix#Cr^RN{i^p@&qA&nw;&qhSF3&PJCr8`Q9_
zREP3um5Q(K54z9%Gz7<rLvtyUB#g97+fEkI!Btu&o~<#4wYyFoAJ^5<@svYU|1=ea
zB4cM)ubRRz8U;=L*1&j%*M<jDsmNvRlzRQ7IfyK>4PU&giNb?^==zm{b_w>0UpBlf
zJLR;Eq?8ugX7AII86)GauT`P`YXH~Uj@zB{&_cfZY7-YCv=PQF_I`S40h_Y%_kgn&
zR@Jv2>@L&5Ex(=zIB)RC%4)8olSK<F`u52wW~$-%)6DRK2}=;TcV$0UuqN7g`V=s1
zRmS4GjWe;^t-!@HrB3{o25x?0rd2U6kHLHFpM5xM1^l7yf31?#@l5NZFiUe8<a>9<
zsphs7j1qpNe<ma>;$FY^bw&)Eg2uH}E?U7$S7#l|H>#Kzrz^~*D2Va5VvS<Ftl;qS
zKy$0E3eJA}l_fO5i3eXfuYBEP1&3w=HT*9qVd6xj&qNyo-ea=ZSM<^n%5EK3^y^i?
z4BzePpULwCQ@z_?Hg`*y_g2*9QIbbmrw>ou_;(^<%ifxtVGHn?yVQFyTo(DnB>CJf
z7twxXy6^KovB5{N9olSVQs{m<#IrPhkfz$PkmA3QD`Jjw^^0HGgxgQ*T{cP^rwwv?
zmCHl}$d|V7I-4Vk3L};st@3|qG1G-!W=sI?LmbU+KZTICIKwd|IZsQfC^G#lLEG?%
zsPJHS0o0@}l`1VQ&^~<eJ<_RX4!^(pM*L>xLnX~0P91+2X-{`0I_kQZ!E)q*n##AF
z7_##rCDvkzCg<}a(Jsyu?ruArac7nlEhE_z8hMsz94yr)LX{@)PrW2yB8CZzw#9yG
ziCd&?Vw&{dKVl54jxmq>57J}wyY}XVng!a_V8vXwsxhQ$L29eb8ZmCsB2P5W)4~)O
zc1s>N0)c3i92w6=f?xBk;>qSY+P30Qy4TMPfh=>VFO_AM(91F>gqvn*cR80BLwO8g
z-Rz0oEP0AB7ZQ0Q)V47PVzRNt&j8+p*OfZo8zD|i-TrUp#|*8}tF0rbNgqVAN=|8)
z{2(MREY*G%nxU;%KTDI|@UnT1+0$9QUx)xNlQ;#RX&TFiuf6GMda&3RJ$vxhCnERv
z^UIIkP0^SS)upB^>%!Ao1LmV&nhCD1G;goHQ?wI5(o(yR=z?eIxSRHq3Zms-VzoKf
z6m30YeA<3M2O?gt@FqCq(5CyRH<i~<(i+_VYP@jKfrUEn*#}glfk%!%Q8Y=bYthi>
z=%7MM;%j=}=dH9?cN=Yq-bq@HoZ1AhGZn^)YK-4d+i7zR8DY+<Q?%CP#LJJmDe%aY
zy+EwIi?(V%WY?NJMVss`+1BGp0dE^t&7Z@4G^4nWdrz=U(`0$~jrxy}Vfg0j{qukO
zX`*BISIQnv(_l0rduKQq1ht>H>zx>+9neXjs)x_eCjV>y6U#=1)1=P1(>_0Flg2gz
zUk?7Ig?XvcH5zGyaQDf5>AQc?B-{P;c_U|O+~$oh+7D}i*8BxZqtg)Wabmc1@RK=O
zSC{1n(Yu;3wL?LK&vS$}<nsEHxa<PWx{6aMu2%z6uYdfg7e7k7t~P9zTD?fS?Q@y$
z-zE(Z^H;vx`Es1rTX-#`K4O`+^+a8MnvXhkNYg297M!BJv#_^U4_c*_zm1&It{{PI
zsB{6d$29F*o14YQyX&;)^mK>D7)fwPqBQ-+vl&{Gi*!U*A{{J;U(@g2rv^pWa{VqD
z&eFsZ%VTZ&=r{88wn?5Bs_@@Cx{IZqbF>@h1#B&MF@g`CIZr66f-$#6_OELTG;<^K
znARC4xP61=m*N!_cqtnDBqDB!R{df2<FV%~;L_(;dXYs1Zj*e2XRfW#7ELwFq^sHB
znAhGF&je-Y+jOtbXkd-@<JDM*Mn4BoC&uoIu_(iz?i0}t+H??;v+KPhjT@3jZyLK_
zQG&{v@sPt8>EZR!!tl~ByfCF^dSpaJ36#y*&aiSb!i|;a&L8{uL7Ly1tM0WTJgD3p
zoLI>OFPBmTw@eEFi<8LUbg&|rl7A^g#jt>fcd%4$i4fR6kbk&JQUu$4FR>5dY@qGO
z6a|+=AlLE~TiUb&To9S~o}bMDA=mX{;&Q}bJnYt5)f)v^;H@e1rQ?R9!g;o>zczu8
zMR@YBM+#7V(7Cqg1}~&W#Kj!nCk1N^9G!wy3ed`BE_>gAAF6Az7cE(2;U!DHRQ+28
zi2E0OBe_WcesQGV?maCB0po3!bWDn%ktMnw8Y%>#cN)x2ax1_UPG5_PeTpD*G?A`p
zn+R-v<*pa=LJ=MX>m(c;Py{zqx~NOr#K70XI4tj?GF%?tqMMqo1gUBs_IJZJfr>TB
zJN}d^Y^~{w-WRG2z89?(WZz1{K-^*DEwLoXPdkx2bVCJd_fSuVJIKKAQ*Vzs-_n4m
zDZ1Oc8PuRXNpxv?RTeJ%Z94F*Q45S7RPdQUCxN$_iqGXk^02MA?#o~V8SHY$?#jN?
zfDrGo*4Up4aP`fxp(p1lK*_7Dcn8{0w&Hj_Fh~iW25J#PSEwLcJZKQbO@VQ}x>Gkc
z{tIOxXr(D$2i*RS7MNF1VdnX*?-}=1Vg5il(Xm|@@?ITWj6SCe9l33_s`?}lqL<z=
zF{%rb(aYbZuj<3i%SMyd_3GfNy1F82uLqxx3kkTj7(!&U>n=@_Cg^aPW_5V#!CM*2
z9g4Chu>bVHnJ>q+p!D-n&0PsS@OWqRob{X;^i=FBDUH*HXOybqo2PW4pV)pXW}F5w
zRo%APDrCs>=r-32(*fO+GLJc=EFjN#sHx)+8OG_$HXjzILdBP3W^(G5Aos1CN{b=`
z$9*4)k`Ec;uU8fi3R}T%{?m`vyvcC2L3Z%cXAPJxJot&X!wU8<aof0yk-=!^J?8m4
zszCR~ugPz}H3%{kYV=!ZgJ<RImJB0BPz%xOrqx(OSF&#g_diXLQPE~08f9QkFX(tl
zmo;!*BUQwl)PSA6VR8=fqEHl(^k((7HLOc9jL|<NL3z3~)6!R7xR=;2Jf3b1Kc=~F
zH#}8^5hp_Q$4LeV{wd{@rf&@w#JA^(lqzp<i6Abwj?!#)Z7bj0WChRFto@_Y6+!o!
zbl0WH4uW@3v}hfy;7a{+%8wKBu({&Ep3cHqA|dflUS^dgY@H7LO7@h6UGA^+3*6}N
zV|D70EV+&OxbjKrJe35odm|r3e=*^s#B8k{=@#&~o$sXWA2HZbU3sdQ%!bqE_lFDr
z0o?gSjx63S43{-tstbp4pncb+<(nY@L2B|mz4QXmNn!F680EzGccQf~^wXd<VXfxF
zcW(H%JGv{L;KJj^A-o5^nM3k#{X-&lY%p4`_PJ7$8&@<ocJqW8y!T|eYOTWv#m!;q
zo=V(!+t~U~AG;as6(>t}>aWqxkd9@_&vW6miHNh&WK)n0{IJ{q?<`IE;!Bcz0T(JT
zGwtT^F@c`TVoa_=qqN?ICV{tGxKO8jJg_Ls7%ro8Wz^lzw5(w7?wcc=Sk@f&AnCgi
z7+&&}Go3G^#q!<mXt>6SFNR9E2DOc#?t(<{dB2YY!+e{_7Z*+(ChjrvB^iQ{Ug!4?
z+IQj(by>kzhZ7&NQ|#jg4dBtg?Qw5E{~=zrNlEBxabo`_u_v|G2C&%Bw!>rhG?5@}
z@@mYU6My#x_3td(@Zy%*(YfEVMEWU<YV&kXoI13s%P6f6TYrkln^PBw`%Yu|)MZY*
zx#gAg#f=>9o4GJ{!)ArpBd}t<KaC673tc6fdGx?9y!hr$t##t{K`TvR2X5@!J!N+_
zT^Ig(t#rCX(V^3R>+X019_&=SY&I;c3ngB+80mZHvED=aUF&vU3<xdR)|{;a-y%F6
zytEndUz5KY|5iQ>Oja;9)zN|6wI{-kXPL0i)=@2hi67;&bhi4nQsKkAFwdT!%%~N#
zpsCr-kLO;hJUMoV3gzqt%H>;Gk(YcvL3zW&4u#%MN#mfxA4QE~_ZMvFY!wh^+9HS*
z*A|}gR8yebG>oKZ#es3P=VlK75yC5LLuhw^0uyDw8B4!#;)z2m29H%lQ2yqS+d~No
zI0Wml982Ryj<16gh6$obi}fph-bdcx%2U2(4_?f>Rou?9B8Crg7Ox28km0>ngUC|u
z#(VlL+(}nAp|$hx%?E<X&^)tekgbFtO@urWuh>f>S8l_|nQdg~il}{XsYw8tGGZ0h
z6{Rr(?&|qc$Z*(RUw&y?5OrDh%uMmhVpFT(Pht6u{sTro(sYG!h{`LYC@qH#hF)2p
zWXLcR^_Oz$q6k*$g_?Gn%A+-11ILm&8Sd|!Kl^Y^6lDt^2zdu6;Fyx{6;@j^5Q^z>
z14-h@Uf}LgT%?Fz9DIVgp=4+`I{o~pvIH7GHb|eFQNpeA<DV`(CWB3A?NRFiN&FuG
z0RR6Kmv=bU-y6qmB70`<{owJ~>vJOwyU2==tjZ{qQj!W$eJe?%BAFRUMTzH5NhOhn
zO=NGG5q^Guo$ES(oO7=Gob!I&uNLQ|=;oaYICeFuIDIP_l%>25eJT}4d)po9zq1wb
z<$eR(f>UJ3w{@I#vyw!|ii=7ubjs+YU*?~%L56)9ir$O6r113>>AQlSD)_vzF01!}
zCM0hu&{ngPMvHfh8IxtIxU*gFIGZ~K{G`KuNB7I%k03s2m?NR0M$)xeEiI6C4s{7S
zDvK_G#Vi%u)RD7(@^PcGHYhiJ<F`L6hZCm*e+RQ`V0lr{>t!Py5c;X&d@NBOcPy}d
zt&GsX#{7<kl0aPu{QSIa?V1917Q}^4Q8h4k*Z#itVm)})VdoKZNfDzZH6Ml!X<)Jg
z+u1P&1Gq?Q6ha@MgjzZcH+2RyurT#gQ+<FTbYVcXg@!Wr#8QfPJlDYJpW@wpUyZ;i
zrhkE^O&ML<k9ClpHE>AlMN*Ki38d4=0Jy54U1|>tZL&HRc7OZS_#Xic*?s%4L<JAu
znUP%+QN!mG1z&Ck07%A;TH1eC!FtzhzQR4KsOvi;PX8BR{&InoV!aAp|F>Az0Lo~o
zH0;R}VG94zKVemlQ^7m_vc=7R74X#0Gc@PgO`(2+otcqG1%p^(R3H2&hb}Q)WJOss
zQ1Ik9K?zdE<4zp5k^(Y#(SzZJs-qd?UbR;EaaRe?TzlB?I#UvFKdSvb6lezRd?hu3
zoA*7v$FGMzRumZ+w>dQUnZeNWbieRK1?;#vd5z2_gx(>?Kdai9fquE3IG>9=`f*)<
zV>`!-?5d}CE=ZUGYx@I{3|=|3oYH-3yqgPMUs;Q}_nSiaLtxZ-CxcEsiPaC3Sh41#
zU|n{qDI`)xdv1kFBMsB}hjyh5_#*a^z@V8a1hCl}ycU<j?(>6dt)eveNvQJa*bu<_
zoz>vVJPAD9kowZ*!!i}-b@fE!05W#@DW6vq!=~0BB{v8DP^H}p$4^KD*jE+rc<^2r
zX*^{nyx&hy{oRNEN=6azXwPJ-a=Z}k;o=*cBn?sTuRb1yG7|{Qa{X2mB!E+$%!(tq
zebjmWA5p@i#(*Pv!h6r~;XiW5MZ>CY>ZhimAM-NCAg29sMC=(4+V43<E@SJYesUO8
zD?Vrhl=w~~Nq%mGG>bCL$_{E<z^#U+977oBb=YBV%!y3%(S|J6UDSO?)}VOO0De!>
z-u-=lEABZ^OGF*&rH+1}!y^U;u-ij2?!FZ(dITiukGJ+wJ3YNK`L5_gYBBx2+XM@?
zS!;Uzix{9**obG|@7IHu`EzHko?ybK3?*+}j}KD^u3YzBFxCT=+0h)y2?lg3;C#dW
za*Ucf?DK8?o-TwqNIjpvOOK5Dw&XCwDe85}V`ca0bfHJBUFFqzIt-;h>iBYLhAQgo
zCj9b<4(OzmEJdWzVu{nTQ{eC)s>{6Y7Oi$|xOBCD*t3@gT?%_6ZO7-S5>0G&%a+=Z
zweBv*Y)^xsPwP)u(=SmUT}+YxgIW;b%V}58yg{v!VowXw_)Fytq4|&7Pzw@HKcknh
z+Mx2$d|`SPzDf=9t539iNr8#e^Vh0bH>ip=lS6YYYt%LMH_j=B6cF5LYMIQoLH+$n
zr`Sz_1`mdlOQ+sw!irDH(W90dRI~i$0*({3NZq(7<YKJ}6v<_Vrgt0E@OgTrsa86?
zKAP*))<K3>iG53_jc9OOo{`~(9RnU+wOEV_BEt$xMc&|38jQYZc=1y&BW{22h|Y<D
z3^%>U!j4(cB3q8fyWAvZe0(x^DCU6%{27a}H<+iz=$zv!flga+gXuuD1fc=K3Mr2t
zQ|a(C@&0m>IU5Q*lmGDgy*jMZJ)w=xr^oNj|G8E>v13GC$jq3KI!NAROMSNaAM9+Z
zQu~uR(PQa`ze9u?IPtc?-JgtTHJ9}%VS@|9rsi+l?;?R$^|bIiac1mEDvRA|%Y#3;
z-s|15BSG?T(;`D63&vW-mHSlkqWX?xW9=qYpzvKa3KwQY{k4Mq(!h_|pe~l~t_siM
zTKf*Qu;I=4YuB2F1@NGNwWai56{uU$-|%|Ij@b`rPM4PnArJS?0|B`zz{`32sPtP-
ze4FAWO`j=@MpCCa?EF+fO@Pkv9St`+_8xxR@Jtl@Wzwox4OL*YPU}AleI5k*-Y-9A
z#W84ntF?-P3S^PcBl!w1UK#2*X<j6W5sm_1a!4w`y0yGg`X3+ek=vE<eO?OvtBwkE
z?@@uc+)g38%L3R{dFc4Py)r1;9;2S0`u}~+zglPuA^Z5z0`59l?3$&{IMS;^4_$iq
zIE^r>uG0%lS<0isk<8PN(p15v?Y&X;ga`&7>-1*oS3tJ{*9SG8BseWl%9*n)hDP14
z4s7vCn9k>QR%pK()V~U)9p;wA(4iM1*4ip~_q%N8?i=bLKPq}nTSp4Jv}*R87*fUd
zhHlc(1r0FLqF;IKFOAGUw|sNEsfH(yICVC8li_TVx;H$M!S<Dxp<aR-xc#kvvi~7X
zn3Qs~$Q_ZzNW=Xyg{>M`dGVs}_!SE5lJBGM)R4z*eL_aPv1AlK*DZOXQwyR*^=zt6
zDq!%E(5`hZO%(4A+MjN#1Gjy1Pj9W*%yZqQ$n&Q(@$vxid#zs=bcQL%E)Of=j>8}N
zyUI0jeOG)qL$W?p?DfiLrQPI_%|@qUr6zLj5|h5?WC+LJzw!IBqJoSI9GuhVG;t-p
zjA_?q?(y(CP4qXYqV_`gMMh>#EaXf->_1@wQy+Y`mL4Ht68+a+XKOM-tkU7RJpfz3
zoFV>eA)!-^rC#J-4P+s6<fn<5!t)ok4JTGe7}PoP?h&DeQC)+vIxVIU#CAs_rk8{l
zL%(`_J)?rZwLdU_-{jP_I~~uQVo1nSYOqW?p@{cP?U(3(nL#A6{xzUS6_06s2_M=e
zhwmwRDW;m{ApUExuXRlY3uG1~{_sd+BR`*~fR{P^ecHaJIH-*7)|FC2zr-*^+tp|7
zusLWjU2J)ip@e%{ixxTO1o1;lNFIliIg|*nCR(T|qDp;4^3(G?n0#N&Do)NEQr(w~
zMzZBG^9aj@DJwQ)vG&m;ddxu0gLI{lSq|^6oicLjpu>|K)^xg;%wQ%#w&J{x3_esR
zHCG2LQMH;?d6fUp&BmP46si>N?e-olG#aM*>(Hs$JuwB3ONR1ZGLo1%X)<nO@`fr?
z8fm6!WD0o<+gRTyiDCNt9PTSU-w6+$9hVB~0DdbRJs(9D#zQMF5<?RPiJ71K-gVmo
zoFu<HP<}`dUrd!Hev6+ZjLJ-StDh2(<}(-byPglH{#=YwK0QlRCNP(t{A>cBvvYf{
zdhlTH(u}aN+#I1k?)AlV!Wago?d-10bD`F%lt{(DIpTA@>_R(_F}P6<{+!yr6=@V*
z<Aycn36;F)fE!>0^3|f&w;!-z?p_+Y&apY7GS#~|IKmKe6m&y#To^Gpl;`_f>p6nG
zZr|TsWd^XK*_MCrFdZ6xV0n{%{10)|u`0b|P9F}ET(0Kd-=LNYu4r}~pCy$3+qJjZ
zNFTlnaO{YsS*1?UvYQj0GlXSOI%i9g9@NYU2b`K*q~<Sft!GY}A|^7<a9;kU3)R^b
z2RvQos3!k(UhsQO5V?8#-LegI!Ntj|_NdkjRhc$;e9n4|*pO*W_>raqt2^2RhR4RJ
zr#zyM#=4IX&z^kr>0HwWvJo#Yt>h5(&L`W4;<ty0xUe^kC;hZxbS-nR=T9Fs`RQ+k
z!1V!wb78<d{F@d)RY3mN2VK;YUENvZslSPT2YgjBw`;-EcHQy_%b(PgRd3QmpMD}M
zijAXrlXveTN8akxHB)!Fu+Sg%?jz_dm^-^PDNru-Ztc-vJ+<G|sNV1TFT&ftO*gw#
z6V_=~d_)IosKp^`mqL1a39;p|Avz6B$dsKI45EEPJr&G3lC<1Ih|XNI=qV?IdzLq+
z&Y3uBn$HW_rXxK>;NNS%wi%LPw{2Ra%5oNwDnTt{)$Sp5goDH~>NMcx6`NOu+2zD^
zoV?7DJv~Gnd)0!qg9e;)bB-V%tR})ZIE=GudI&np?h7g()FIH)pGR8fEzx9gb($us
zmk2u>C0#qM25wXZhUmz8!nWMX{j=FG!s6pAA#E`=*l})ktM}CgLZ^!UjnwonB8ps7
z>tRoV`E4EZED23SD7nDBv$l`8as5`X;AK^4NhOuDRevQ)PTFp%ujwZwcK6y7^(wG@
zXpMI6<u_u^^%9@Tz;D8aFXPfPRuy2(EHyq{`-6CPH}Xt_)*vC06(H*3pbYekR(C&i
zw-WaZ&&N(b9U|(4v^3bWl;G-lnI~$z9R%%NxiNq55u(#_jP>Q5A|#1LMCS%}5m_!l
zq}%3W#N8T0Cvz)B*jC0lYdX?HB-@4!gnLX7%u(k1Z|5mM2C>dB+VG2L^h!#}DxV_u
zEJZjxU{L`1jv==5#{GoUK`V}DIWt7-H2oLbV0pOrVbQ{{={HeD-8<^f|A%lls3fJe
z$$^M8i*eY+L84BP+h$+U9C81O+xC+?<-o?0raHrWm^eOnaA|Mw0`W%V2lwzRSvWgc
zkZ|e9DA6=vxuw)|iTEP>xnx397D(@w;tu7F6U~Mh&-5?-CBA3!98E5jff!oZhoiz%
zL`=(P`aJ`y#AnB7&1nr8$T7WYqTn|}7_-*Cn2cQ~a!Mu1;uX?xuauQjt8bRjwr{%8
zR!##C-%X5Jnn}aKlV4igW9NuRVy*xFTGN61(ZI@*7Ad$rAjSF4W`X#zvE%0$7Xus=
zvH5u`Knl9%h02z8E)h*(v;y)BOu*#WCVqfH3I-IoH&!G55^=s;OVd<XATsCdjZ3+b
zkbb9j(y4ouIJMvUL-7?>XnfMsl4B<cT-o#aA{W;QQCFv4OA<TWF(Q7RqmhJwo=n=P
zN*V|$TBV=f!Uew^8Cn>_B|tX)dQtj5I*`2M#9y4v4Rfu`ShOMzIyVI*j)*b9JFUC!
z>HfU1we^JSr&MtemYb%v;A4Wnq&t1ZuKd6}U%sQ&Rvcuf(hhZ-uz<I9m@Rj-AY^vv
zALo=62kHA_(iRU{A)xe7DOdY82wd==OcfP}#^)sg1Lo}Dp+8Nc4G{&pVfC0o6LBc1
z;PI;D;{tvACs`ufCE!K)%{T9Fhy$st`DsuQH)Qlpot06Og5KQW(P423_{|rbDtwd|
zKF7&^^Xry|+*k3Zs%Io1#(he&)`=gK*=K3~J&^?#`tlpImnC6(&P8~8h#>Tvr&XF2
z$U}F|^VI|^DUcT0PtvU12IER&SEK6`p;MEgFw;UBNVlAmQz@cwmG_iJ0KE!CUH<mw
z`*|7I5KbyA?iYs|#i$QC2S^|+lF0Ijb@LtSj4xOBOM>Id?qro_b$I3Mdu@7L9yGlf
z!Zd=U;Y0NHV|DUmFs*fz-9lCZ`CgNmHypB1X)4?#zS;Nae00AZGN=N3pI!R3?VTKa
z9Lt@!aGL@$rx_&XdDOwJd^?kPf&w&6ocYjDw%PY=oHrnOks*R)tC{7X1SX1Zk~VqT
zpvIa<eSVSxMu!PaSuqv($jd)y;im&8*3-!c8nxlZV2=9hHdQ$F?>@(yE*%)&U$*C^
zs~#B07=&v_szKG;rxfnLIv`fS6kpD12p((2hL^|HfoH4SWXEG2(2#!{r`BZ*w>|-T
z=XDJb<gycw9@7TWjC#I~1Asy)ljGW^A1EeFeTm#W=Y?7SI}Q1!!25$oyV#Np^J#Jv
zEhY+_{lZN9xYumc{XFc&+{y6r@w{m6k_O~lAFIq7HHULO&2}T&WN`8oo~Sh-fvUhy
zdb6tS(5Y-Ok<_XIwF2Lo6_pjC#dCM3r;P>d7e2D}in#`a^uHedwk8cFZArg+?peT%
zt;{zA*VRBx`_9kfLn4rv)ZF#3)B=ha8+f^7NnmFiM)5nt1F7cb66KdI;McxZ{;@48
z5bHeJkk7*aHnlqZt=bllH#U>AQL6~yc?w~lzYY>FhrO<`Qn$l=tn$#Jw>-4?Zb{2y
z9H*Wt@82n|u^kfFO8dK)WT2HSH)4K|28H6+q+Z@Mhv>h%Jr5*HL0<I(>jYaC{4c7)
z{Nt1v+!E|KUKS$`>n7~kE<zmmT%UH@+0qQ0Xa%$LIECR{!1A=J3^y7#$Wa~@n1ZpZ
zytczHe$f7MtHJmt4}Op~^Y-I3g&Q65Sx;8DAz!-G<og+3jOa3TlQ|2p_RdA=X5CiU
zU(@<DgpLohc;22{8zR8@RL#L9O(wV+FOke_!iP>Bd|HfyCU7v2?Nyio4MYo;(6R5}
z!wcJ^yvyc{Vf6+%rMz%~5UV=2w^o%8cez%Kk8vBrh<kt>>)0@H>95FQ6%8K_ocB9-
z)Wis$*jlFj`SXzwUn1=cZsbKT=a_qACk;VD&5ELI)<WIwbHT9UE-%U#%bKfJ8^GBI
z83U0L!&K(?bO-hy=S9(nw6}%W4d966t(}^!v()T|_7{&k@uJ(ycByJVeduD<Caj{D
zs4>31HE*qWQ97{0+3uqrtO*=04!HY|YT3%3%)O5nB~vM;Dq4E*Eb0C0)+`#FWneUM
z3FpOocC)XWb9G_Jc30r>IyyW?_hWpckQYZNk5qq2>cWvL28E?>7*MTLwSr-V7Y{{N
zhzmZ{fxiz6uhKtY!V6tmTmlFA(6;X1ZX0DC&~Y+T)$nCOLn*7#lHYuo!Qaey{G~Qb
z873UF6=B7PZd@M~&hg{3+Z%R?cG}RqH(;f$o(;1XS@Pa$31GqrMeouHEvT+{9Ipsv
zN5L-Z?Uf9I$k%B2p8bXv$kO$<T8nVv_G*udn$v<f<}y7!V59|kL%}qJ9~X`th?jPr
z7ecjX>T>Zj6kt3tChxVK8^agk*9bmgEdDZD>smyCFqL05oXR{H`p=4g(N+W>=sbV&
zBa{NRVar>kxA7wV5ntngN22%@9jD?=C_sPeucsj|AI9C@8FqkA93Na1-o_(9fs?`q
z)ta~Qqt;^1tHApb*jAGIMtNBicoZH)$*2inkneHzkxWT^tLEu_Z%`9#jy&3DzDE#K
zmp(&Pv=n+J{CU2+R})GSXbJj@LTEu=kLug>#cp>$ed!@hNNZ;Fnt#6y4Xp1t!hRW~
zS-#+-w5kc=pLhB07Z$-njp2v`&a!AL;$j~pL4mAurx<0UMN#y%=*S*7IgGkOc+fgh
zV1X`vN6V}j)+<L(6?@BLdv3vwg)|B{hOoRp7A}D)(FwK34l7`4g}uY>Kbv)^KU-@W
zD~TMd*XsU;Dq>oxnM$vR7JSRdiCwUh!km1X9SfmKNZQDd^zYUJ%G=qwNhxXk>TGe^
z$5$E2+S&8Fk7>gS`Q-OQi_+M3y|p%dmkRFE*0}QDHXRTjJ@}r~AcIdwOwM`msiN@n
z@RYYdbYQ2U{{8ZMvM5*|a(Cm6D*DYWw6s6cg{bqKAuEUF@VmK=#RE$cTKRRx@m<n`
zex`qK^VH>$Klb{EV|gTeAt7Qg6Q&QV#H>Bfh&-ya>)FX{dS_zE_Cldx18@)eOXqf7
z0e=c{8(GwmaJSP^)8P<9*z#hsBtcdY1;-vAe0zq31x)u&Fozkz@gmPBuQC;JsXck!
zaZweUgS68k!;B#=TJEt8trG69ac%1)tD>rLO6KU{P5*5PKEY$Igs%5)IcJkq@J`~#
zfe;4*A}h^xqJ5O`-<L;Q!&Wv&QpjuxFTkC{hqnIoQbG^<0qW6YMI1DXPxu@PpsL0A
z!QMa#8Jw2dpD`++d|UjX`5J&f$n->cMiH;Awfz|1FNYr^1;f(+0k|!>^ygnt#8`!x
z%D5~U49aM*`Kf3MoaHrXY)cAw$U7xvTfY=;ZF>A9z}ytlE0=RaZ4~fQ>iznBMM*S>
zq+Nb$Z3;237t{(8<&lp6?hpBOQ4Ak_koM5R6uuYwtTUC%;n97yoVz=>;hW4d=3DBf
z(Cl-`R=z<NU0yqgWiJR|rk=7Kd8;YZp38h(*(!rtN)@lIocK_<_qvZ=HvqZh>$qdL
zH0DYlTP>vHL2<J)lg*C+VshIV?S4t&{inwcy!gwB>37OilMVqyWIc3A8<51tfTG`?
z30u*K&%cQx4&b`#aoe*~0_mP>?7H`O3p%PlZ_3XlAo0(c(?V;TK5w^^;XgNK{B%-c
zBc7FjR|3AeJ1C+kJoAfgM<OFO9Od3(wRvB<Tx?Q}=Y=snR=Br9jR7NLnbN-18^iN+
zT@Lrgh0v;truLE{J?@fW8q1S4hMrRQ#*fDZv5i+qJLM4_4h8L!Uq5dISN1X`WeW-5
z=fN4z=mT^}F)Xe9@XHWZCWixlcJtwoc+|-soAbk*bVaqMhT!sCc>Pi>FMj@$!R3@e
zhZeKW38!-mVBiz4X5f1sOzGTMTjZd}DV__t?pqBYOYFqc-y_`kEMxxNL@7NA1P@14
zozMp#-`S6%O5E6%AMy3UDF*z$*mdRSfF67aE%e}x<3g_fsypfajA*LueBhUp9t<C=
z<~gv&iJWCs<Ht`hVb=wtM!H5_IKgK$o*~1DF>*=6PqLZuW?5YG!JWEbsYj=kdxiu5
zV+<yqPqN@~J+hn3dmZ=_x8|^qi39J)=&)rvuwuovloJ2lIzZ&T`c+iJj`A%Jzv}&9
z!w2jA4*R}pgV=?bSAE&+_>e?ZZ9C46d3R{5_z!3UA*0CQ^NbxW3nir-NSt`%K3{d~
zv=;c~<UHw}V#kJuMU3;YT-bWrmi}v;7OY=%)7!n50|zW_2Me6z#wS_JfrN|}1c`gf
z|LEpG#U&-FjU*oAF7iEcxQ+s9sh<!0yUvM`=eOOe*yLKvwwAk(f+%2@o_6)MHWy|j
z5{&L$d^otH&d^4b0@Q=-6<II1&>`h?9*?vD?m5Ns`|DRt=<6C(-C@OzBC3aGY0nDc
zWsfkkC)YF~?^jQG=NvbtCZ?uaObMa-AhCGTK@;`~owhD`!h>|GD<At#2%}iVr2A({
zO_(y!*Jq05#qscv$#OwatooVY>9<4%)(rkJhX6j5V3aKK`YMJa6LTB_ZDh!HNK9Y!
z;m2j=%Lh#!NnpaL=G5D_WMC@#>SrAxfP!tdO=2G;F=WQL{8$wk_AL6{ewZPM{NZ1c
zy*^2ym{_2W0g|D&fAXhdhY&LTn9JVTCXE-lS+(rHkztw=AlFY4#&w@rm4+D^%(~zo
zw7NiszqRvf$*CfE@Ur$<UmiI;EdBa^vXUkw@-=KJ5fH=eF5%Z#4dl^sKgZ+95KZvX
z-)3i6D2{`^nIrG~6|gw{ls)rDO<>??4D#B{7h##F0a_`FXw5EDaaorF4W(UyybMy<
zCK-NcphgK>Wj>h8yrw|x8uxnRkQ5Rd8T6NXm2rqe*}lSA3oaRjUabBijW=1t`zB^K
zb9JZE_fM?aVE>0RHSMJgs*ccH`ZunMVyE{Od;idekLS`O?>>@6^*heFgC9sJ#A?Cc
z{z3<OMV*6BUy;Lao!;ZN=hRU9u*}?>VqK7>g!6|4$>Z1lo$-&E)G<22Z@Q*J50+v-
z)e`0kDAb+$__32ZuD|JXIr3E>Z1=G~bKateV`I9%-}|fMTemx<_KOBUQ^Bn=_DT``
z-L!(+DC%gZY+XDfX#~ToHb<o#l(5EWL=|7Cq4(tFOCy%XFr(ne<I<>vfu4FV7N$rT
zQ8bpJ9%KSa1$4fya>{tY$INEATNNoOk(AIF0`A18KhAbmM)@mL+V}(&<S1uedT9cX
z-YBG)>#dBlEwKH@q7u3nXLWuq0nk6DFf(VWjJw#>Bic0;(W;^`Gn?HM%vc?d`7SGA
zsA2Gut))D6B-VbGaWw@N@mM+8I3@g1IT=N^lEwYqeBzAPP2pv^b;|uoMI62{eN$+=
zG)~0&9_cPK-K^($o$uzljZ9%h>t>Qz@NI}oh-wO&>(uon7X?fr6%y_FqWIWPW`Ad;
zDNsK*4n+IO<8cw8_b(W?VYFj*->*zlcv0>+67MC46~n^xB}M!g|D~6A=P6S-G`_u~
z+FBO1M|&IU@_A6Nl%#iXyD6M73H2?|kiiqH86qSaE;M{~pZ+F;DKM{VpE$!Ujm1yp
zo?j1S!{XmudJ?YzoWdWy9GjCw<@TfJe_v)st^V+K=^%jFKFW59N(pp-`zI~Kg#nk;
zQf5wU1K>$pWUfsYL-l-#7selHk$B+h>3M0B<A!N7E-50o#Xf3nHf@7C*ZIj)=er5q
zUq5r+plBO*1!R8e$oog_u-}!JBxM4Q7DIX0`vp;<$|r}&SfN_>+*+dxF^0CZj8BmU
z0{GHkT-ML!FO{Re*1oIS2(;DQL=~U&p|}ydX9IPa8Xer|#K>s`Lq&_g?ZAtJv2;w-
z%4O<fpEKIZK8C=h_fBXF9}kvq8MyIO^)Hn#JHYwfD+7qyr=%UY#D$BA4Ik}TR;YU@
zt?UW{2C#7_Mex8fCmKK0IOuP<O8p-I009603|DtN)&Cd1_8!;17uU6}b#aYrbB|dX
z8YmGB6#Zm`k|;!}C`yrrL^2~=<nvYteTxWL**hwuWd8j7yw2;qUgtc|Ip;Z-uFNmo
z2sVUw;bB7>7W}B>QuKj_%606m7hV_NV*no<Pn`5==0&bf2Eoh0o7h0I9_LpufVXV7
zM}%+jpp?V^(~qFzP@Ot1eK=nqP>bQRL^L;|(jRIH+cF`SZoP3UX?@T=`M&<jYc5o=
z{v+>GATxS){DTR{T|LMeEv^a><U)#4q_vDv7F0Oany<~H2d<x*cJ6)3i7vzrf7rpp
zhCaRNzt9m&hk4(E7q6W-QJeV1o%|u}Xoe@!=N~s6WGVIB*G)N5S<sclo;41njw@uT
zO4NnwZ)&=%yE)Olmdp{>6fRUGIOs){)`jO=<mA^^I8n{T=rnsf9<&i+5D`?M15b+N
zo6q!eBKsm-+z6Qu!Ko9gRTerB^JY(wn===RtD5^v6cRwKH&vrF2DD*S{4SYqiwp7J
zQWdkmD~RYP^Z59~wc(liRn{F%-00N(+1b|xcr<_apz||1ZBVh*TvIORL7X|G4_@^P
zA^OWF4~;%+LBk2-Y>DkYFV#ji_LD`BjGEm+^9U_4oj+KMG4Ugv&N#zwmqbx$a`6RK
zLoJXRt*~J~A%L!S<@%ZY6hqFB9+X}AM}u9X>OE{hf+*am$1gQZ0+q$+&kohm;PKE4
zZGk;_#OWQ+?4w9ThSE9B?DuG(!z_~PWGIAk{Csm+W+f3xsx`9VEDfv@!%|+F2qV`$
z)%QX^OC#p>%98^2G#I<sWYus;1hrY^WW=}0AfMDt!@rg^s1Lg)5F9It9<}FqHm{J;
zc*=xMu{jNT-fP->wTmI6@&glT5^^Z<*6+cTy)-x?eL7Z?E`e-}UyWGqkVjWTqXsG7
zG#Ho&Fjjs|Kpr3S6N|4ZpmS%4&sOf!AU?*$>$Hs|;xP*l-}j#)(kI<;ZtUESe-<#C
zwj_l@EBGJQk(AJJOGz&mRV~OZG9P8FCZQvnFD$-ZP)2PVnf<Z%wcxWCLqcQ^87UUe
z!~PBxwAD~+Aw<xIovDibGgh)_v4!$!KurxzKAQ2oSFR0;GSV*RZRAjB|Gv7}P%7$+
z`0M26rvvwv0x}=l$)nw*2TwCA)zN0`V(<YgU8rwrsLXa&Ks7Ox9V>krXrb4ZGmB1#
zuoc^7lhcYQsPR<nyIxH+AQDtnWuXTx2TaxX_*2lVgQ*^mBMmL*o4xMx)(0n7!*r<t
zC1iQQ&D=SShFJfKhU2mgK-c#i*~vp04cSL1cQ?|Is;k!crxios+nZ-dwNgP7FD>^y
z+{Pn3?%N(YWDJ5em~9xhDmvBur}<4P4b?sSrGKEx1nLQ%4vMc;(LfIK+Gn7lXPNA?
zG=don7#`i&udRj-roVv{e@!IyjNYH&!+;MDE^K~@RYMisg`0V78mOMkc7)Rr;BUq8
z+{hv|^!su@wRk5LNhb04%Zvd~)T0!WveeKN&dj*WS{1!%F8mmM%p5*Cx#oZKRzreY
zoks_FmC@avM;2@E%>li>G2XwbiX@La=d%?lqTie}eHQ@>Xxn|Ye$GV|ncJ2oKev!a
zNg3Z%iogQ$dXHHzC#ayWZ#liQyUB<fN4#R-WC6!$XUz@Ml#%<OuvsZi8YxhBxZ51I
z0FOb#B9?e1q_bJ3aqWQw3XDFh#I>DAz@Ubeae{&rTB-w7u8W|}-cngxQ45&icgn@f
zE23`un_4}?f`~|Ms3!NCL&JKhYE+LrvKbz{)a%NFii@H@R41B4)Ty>^)mw7t;c^Sp
zzF{`>EorBPJi{Cc6%Ll+%w&<0HAlkBolHonFV$6I9AM~2^61fd8PrxKf1Aj^hV`hV
z)osQA)K=bEW;rj7{&0Ml+bz0`iS_PU>yQWdkoWj%2SF0W9^U2W8~zJ>mSc=N8NmRj
z1RMSJ?-Hmma#1pwK7;Wm9$U(+Gy~5!<I0p~F=T<?_eCjs9Mia4{n2*86m+le9C+F*
zg38_Px-KV;VExS|2QxKHq1x|<N}Px=noz!079}~1d5A8qKJhhyqt9!4WG>)QfN|tC
z&#oaXv)yj*=VD{%e)?9SnMn`{XgPdTy)}%{XnjL>){G!ybXdFo)b`%|dg*g2=P1^<
zsBj-|YXs@LroI)5@SrG;Ipa>najeVafU3tMLr_xq68(sa3k6Ii-_EI<#9Fjt)1wy*
z;7AqWSD-lu5)Llz`BFE7Z9O|P?QUlPXTrA5tXHrh3j+&51)+It+F-}AAFuS`ywr~y
z%U-PL@sE-0(J#L+vo}2%Y$E#b)iyuacs~m&ja3;lDqp}@X@|6u!}Wl_<_^bzH#5>X
zt;#Z0yo6coq4M3Fr9-^h-wtXq6Y`usAb+y)4`xZF4K%ybfi$<N{YjAtHOX^H#{62r
zR?q1tTYuGst(|*JE9-E`#E;+ei1r#bpzOBv(@qx(df<W8RUA^i^k2w${04R=RlX7X
zqyzOXewdOM4w0)ghgeu}$Z=iGvS_~!yw%7{I`4}^AFJ%h)O}2-+1B2ru3H;s>g<Cv
zlW?fzdu4cR0W-Q$a*?!hQX3krx2{F@;80hy8P{bpE5e1oG&{DS1^w<<PaBvpq3mAS
zBPF?Ph?(PZDaSP}IFWchVRsD^>Kn_N;@QW6+=Zm$xJX)Hb@TY+yGNMOC)Tf%ncH`m
z2k$=={e}jkGk4<kMOaXuO8i#)0yk3B739fqp@D<eC8g3IET}&?J(m2B7d>P-CXm8J
z12-O;YwIX0`e8Vhvs+03or)tS>^!0gxQ86gsjF<rQzU389c}9+?#f&08x0VfTN40K
zK(D{@*XBUIY4JsO*@Tdfak$zeiUxcq4G`z!IFWKAgFDqj7@b+p?Fva#hkx1OIm<lU
z=%MXVzo|hH<PbP$)UCLUfBA9f#cLjv|GI=yeo+iLdeG$8-cX?(CvWT!!G}(;NA5G!
zl|YI<;T9gpsnFH1fB0so0IDdfkWRr9(W2FnYn|d$2u5F~!@dY2Mfnt3m#`F?D#*pT
zjjBP|$;$J3n|QRqak`<}goI{#UnrbxPy?ZaT}A^|!f5bvX@0K_8I@lMn8-wG&=Sz+
z(Um2FB;{L#JFm*31tUKG{omAJ>_<e_IYlv)>DV^s-YJKS)V@@$3Q!>><yBx`ojBr&
zsa_--E1<Ru5o!7Vqk_Ghiq%>e0Wn_lK4mIZL`=PRh5CO|;f~4Eg=2>$(b1#3ekq$N
zA=W}Jx<|S?tY-eXD0V;^Ehx1l7k4S6lMN&e{}>Hes@{3)ink16nh|adxu}ZPJ;K}$
zrE5a{wB3c<tz?uymt_A&rlQU$EhVjR8vM!*(aHZSiy%8LD7Zl#eG9==*X`1Ra+3U}
zoSHl`6E+SKbkjuT-}p2FjI{yxg8o4Jv;ykC&E8h(M??3ybAt1>^&D@kW~-B}h*s@J
zhA1R0M2N9>AHJyzUr1yBE>Ba?GPA|8nPM%JdCB*@+B6+Fk}4xT6_t^bpr+%3qBi=-
z)U!41r4Ol>eJ^S|s-XGwqSwrR+K8>Dbjp{_5WJ367VHX8MK+pr4y$Y0NZ;Odwywem
zCfQEjJ{6#bG7Ou}u6byq?<v0~@18dS`u*jjKlV^j)>q2cL+sk9z*}qYSv@n*@()V(
zTBD*Xts^&dytL5!B)Dxj!+=|Pu|Cql>PY0?(Qh@kXlO@H{YUn900#e~{&-ZPj{c?V
z)r8M#AXXC=2I-PH{KVLb9E#P^Q}*;VIaewwvnb-QAX>nGvSUwp{L~S8BmS0rRRwij
z3gEe)Y5`s&Bj==Ms0ip*cbq~fsPwG7#g7#Wh~DoY8%?1iLl?oZfFtrqYe()Nr>-R&
zJ@6|uUquZCy>QDsXtC|DrfLiB@3Dlu8{war)>P2%zr#6I$wX9=Y4N{VD@zE>#k-%(
zP)2e+b?MhcL{a$DN_-yK5-Rgn_l8lGP*lq35s(l>eT6@XmSYy6YCSup{!9^tsHkdb
zd2^tXQNmimNft2V?Nj!TLjmofdWht|+rq>e@k(=a3*d1Pb58M*L&T6Wx!<abSe4{+
z_Qn6qA*`uJtDuvN@TBWK<L$$k!>H=0k*hi6`@Ci|yhlO_HGKc&?99QEjGFUWrvXlz
zB|g|ll|%=yPd;DYcQR%hQ^kaX0kRUA4>`6-AmOGNwacPo46lz74Igm;Q<=XMo>0UP
zBePGNcyop!z(4u;yc7etLcOPzN`z6@?mtQ7nt8_h$%A&jCT5@`T#Cg9;L*i<Nja9c
ze=*qEcQHquG=+6H>-?4X{OAfn3m3@on{kocB4&8U1YCWyuCjCRpm#pp&B05*7&oH>
z?B2gKh9?8pY>TrwP~_dN8z(RRVq^#KzZKmu0;h9blC(@#<Tw*nE$;P`p~f9rgEKRN
zaV34N;YB7SjPrbAdvT6Y`|siyBgPQA7DYAp%Wq-wt=u-#duAE8R2`LK+6|zlbvoN=
zeicjS?c)+<nr3uf+eM8~G=Tasm2i^DUrh4rjm^*b6Aa()9|uRm^&yrcUrrgfg#Avv
zMb<en#<(4GklmwC4`$7doD0?XjU77?GjdaPgn=)cKZi{9po!n6C+fl+X7-Iq#1uco
zK%O+0>P$Ku!B#~(ji#{~hrkp)dOt(w_9rq)kPhFT$5Kw;8^^@nDn2CL`^H#u82(&w
zMHhTF{{A}dH-bHSnmBgItdqguwF^4Br~@+3N~=}E2Qg2s<D!;&?Ti<BAA`rv=s>Dz
z(Zb|dFE$Ojr{aHoX56v6G^sYB4ZSr*3(IR=nC_j_ehk;bs8+r52k*K4H*JwQ>3JR4
zlLF~d%X<wBH4U><A(L8A^UO}o@Ov9(TNGMLc~Zw1<X(`qJgWuIlV4BDvVX$Vf8Eso
zu2{opsc{}Y{D%hmFK~SXk!CEaock<adl_Rd=gsd=qG)i)Q*c(`V*^%mGD91$T*Qz_
zcT3&C)1bX4Hr-wLJr-cB>GVxLi=nC#<6O5>6SlscxnK1SVYOd9^&4j%GGyNOTDk{n
zK&{$Htg&z{mi<z@_(*UR<9?!RQALJ27&9BwT{Nn()#SmOfwm!-^s-X_gP!gC;`F`l
z-gG5q@zOk;+dK(-_<`eSuLu?7{=N`O*Q~(wqDq+3nx0`(ZKs)B9o4`hF44GVz6|qL
z6ztZOd5HxIDAcc}ssgS)^e0uK48vvUBQ_|&jE+qfC5)>;*D1raskBloE&p`t?dPwt
zyVWdx>$)o7EVy*QEUXmM9bU`6lTnJXlmG1}-B1RVODFVhzbM5n7H{eP_o@P0-y<U2
zIjjU+9Fg-pVr7`_&=-T3t#7c--bx;3h7#~ePCvWZT!u}Zxmsw8uf?jIc(|@VqX5NV
zYWl$2a%@N71k))DVO-TM+m9&){yx9iv--0F8}LHCg^BMla-V6Mg1;hUsn>$Ti7M=-
z*PR@bn0m|_QzNl`SAfeZCRuxhs<ErP@lhLTjo2CSaj#GN6aahMad3+DE%y1&;JW5i
z6V^Nz80+334`+`&UQ;*0up4-Tlpv3f*ybM*mse);;CTO@z1VkzZB*-TjZ1#U)MV5j
z+^?2{`p^?-&FURyB~@4}ajOlx)w<ctWFiL=&5~MOo$s;OpOwMi)Z4MNq2SZ~m@I^D
zMy{A8HDD7(OS<n@J1`&XkS2j0vJgKaK|T@v0V7n1$PN7I#B5xxjjw+pgK|Xf26J9B
z=5@Kaut4b>)--qruX&6NK`w@byL|s)@731!9k|zv@!RhAnjVyas=|s8t>Vv^m5@t+
z91LJFx)CAq95Nu+NHQ32ZNu*L?+Xc#9Kz%U6qHoyBp90t77+An#~k*>*E(Xu7{5KM
z(Q_|pIKEqQe8K1|wm9hg<3YkGR<rL+YhSt)Oq`2U@iFMaOt?O@xh0KbPXCksj)o+`
zL-l9$oX<DRDox|~*|te6Ccvtbp(qI~%q<de-+Qr-|6>HH?w-K}$4cDy_z}TmrL0~k
zX#m^AXI!k}nZs<SaQ;KJ1UOu9cmJ(jL)g><%cmTCzp$iRb9**~3D5yO3+&6oSb`=i
zOAPiK8xM&!DDahlvX-Scx}Qg}KWDq7ZJsY;lC%%{Y^~x@E#Q#j)HjX|oN?~{@69rH
z$Lz6(5?vfP9JD14%1vRG-qS<I0xKAw4r;be7lXI+?uG?9Gnl_!Ji{w%6;sJ;o_irI
z22M}UdzOdHVce6+2Yy`Nz$y&b^k2k@f>Yf2ybrs7VJ7b~$Rsx$QmW=~spS=gYSnAn
z85|2(s`!aPR|+$N<S2=RBoQF2RF3>zTErYlaz|%mSrHdY-Su$=5x7Rt^*B!WgQ<L$
z*>(L8JK|_7c0;wofP3#AD0XQDvv{GJbhm{QnN(Dzc)AON;h)D8X4y4t^lt@OAchB3
z98TptD<TYsgLmaL3vFT(Y)nkA;`!04UvA*n4k73wq+asR$02`VJI^zJ1QFh`=%-kw
z5d64+Key*HGjdH#$Z72qLNXP94%x;ELBy^SZLw%p6!kEMGB+)PvZHNlOrnK=Hu7q(
z=X-V}64{aUPhT8WY1Dpw`B(^QLM*HIT5zFZ0h3yv1_GiM>RCH=3xVeE%j>Qjyy%tT
zY4fpUDKvCA<i3xwF!)}o`}cq#fb_YlQ&&r6P=42hZ1NXjNMbO1s{<Z!M(@#MO_W6q
zotvrNnIce_LhySjD~xPRlj-9D^5|58xy4H)3i!Xi%wlv=l=gh}@bAltsD`Jg`{6df
z3D4H<7+)4gJ|6XtMXQw1CCcm46QTqNdOtr9ha)0YZGVMH8C7(*H8)5%SQ4bKJ!7A)
zl|l|uVV%6MsVMTgire|KB#5hJFd0<KppNCK*r?N*D9wrZyopy9Cco&oE{DpZIwQ+o
zXK5|u-E@|_Xtz8>ZYcZb>&YXUhX0+q+uDflQ6m2aGX-K4J!``G6;a82`AX8J4$8&J
zp;mJhnA({WW3@>^YqX#?_2YDOB?jMbDXI?2YPgn&EoC$rG@R{_p@$UTl~@zr)8KV7
z7w;&i8j4_U33n{jM+wY?80FnMFtjWF>=K_k%GB{F&ki#{)NaReUy>gDvQ2bf-PAz#
zKdzI!#|+R!V%5=XEko!Sq2GGqK|}cTN|TDO2B@r0M$SLL1Tx>USB$7>AycPnza=9B
zw9r*}aITI4|67ha=+&ZyI@St*`|#?cu@aN<wJYXeQ@f$@m9CBWhb>R%+tQKm={@XB
z%$9KY5l_VhPi-Vn?^AvSr-O(d*+B>Ft>9wo@k$?iZ4@-EcDZgh4Q+TBvTUBThClJa
zaBf2jkr~{tDCw$bX7|1xS4A86b9O4(!BY#J`!v5Weog@u{VLrkx^DxXgq+g)1R7$M
z@7U*7Cxv(?I^xci+rZ{xv*kX#CW`1~7TxWMN8%q$OzjhFz;0Z(jlYPBeEW)yRn4zs
zuM)qXF{9bQ`3^4YI#E^h>)5Kc{FiP<2ghA?winh=bi1^X$5{z|_h}*-9%F(pxx68k
z8&;70?!%ABy9#KI*owA3^Md885YYi^D=@i^&%gFX7L}0fe|I)+>z>}&r+&i{{&Y|6
zh~G^@IbE^_HtV9WcFN*x=VuEjWtv`g(Ip_Y@*OM-MiRhzyG3ta(gH%$s*ig5h@i>L
z28GY11km3%xhFi(9H?BGO9uZ0&@)~IZb&8qpW3;^#V&wNl-Hry&Vh`)j?_eONy1aG
z;(2KU5cJ!ZK=i;Nn^1KTeX1nv-LEa>AI*S6gq-Sm`$dc;bNt{Zf+U=sHFtcQXa=P=
z*Sa`6`!TO9Z4t^O5j2kC$1O`tA(}SCm*o73@wijGE-;e_k8M8I{hKfWN&bND-)%FD
zjFi{${BA@bpBoCBQ8j@(+$GZ<q(2P49QO!4X(DuAF<jUmZVZtn$J(AxZ!iih2JmmD
z2*7+9e>kJx2p0cyH6;ZyL%A*M{)h$w*jPs=JlJ6b10H?55|h~=EO0q%rJMkc2Zawy
zy)}eh8bNN{mlIA`+SCVP1d#kfO>i?Y1lPptg8x`~ASGws)_aHm=L_)xRrLlCrtw$i
zod+MhX{<s8L?WDY;P5PSG=MDP?+BX|0f=gkt$pN6gg?||8>XN7K+|BB*#A`!CNs&e
zwEKy`Rg<85HbEcWmf34Ex8i|tpF>sMT@r2(Bcvw`^+62>{S%lFl$==#5M+^p0NjnO
zfLT4T?H1&)$`ytf<{ebMYAGOoI?zmgp$Dx|d2*WxA|OG#e&WkbX`pSOTI<u>b82VR
z^W?lJNag1F{PZV5p7OBShSs*PUTGjWx{ARNe@Sq#j|?<^aBg_crU!zqYc?!9#KG!i
z(nUTqG8`6i!rdF8!-)5DX9KzfOgX%1qqUMDLg;Zjy_pXCubK|%sStoL-&fG!B@1@1
zK1i%r(P6-O_1Tg<5typG6+Upu!IFvrr)wD<96Q2{i4;l5oYY)mc`XNh{*xQ+)pXER
z?%c^llY*<s-c91J@^Fr=J*oQ>9q{b-cVC-JgRrq&rU$PA#I*!}|2|6x|1{nm1I{Ec
z?RTE#eX9UJ1@TW0i0MIU{*jygp)z2@Tbn=cqX<UL=>gaF>cP;uvWvrhGMMVK4nHGM
z;1=QDXjP&f)Z9&+_}@4g1RlBv1|kaF&c)8Njp{);#p=j^mt^5(<j<9JZc5NFSkv!l
zt`9=FJI*-?$-z4-8K!_=N?<2plYcy4ANn{CTGYOjgRf?8-S|LdXuj~7kScEgdHLSW
zAx83GS0Qn9Xha#hT=U%3vJ9XjzA>$%NgfO@PFi}Is6ZHJS=)@ZA!JV13jN-%0L&#O
zHx7lVz{Yzyt3yqOpntoFqoYj$))Hj3)6!I+w#p|o(ZdMl#SgZfvQdOU<%oA#87gq2
zkM*w?n=$NTsE^+(RD_Vz1w%g9RNyvgD8xB?dtNRZ>FwpFfa#pjQmKs!Bo8qAW$ZEm
zGvBtrOa}^#e{Et`8B>P17`fw)(<U%VEOh@KM}edv*Wc%kDT58g`JP{-DU?fo#$SI;
zf$NQFSv%h-K~Q^H^16T-_^;Poj;^CXn#;WiufG(?kUx;Eb=M4jE0!Lo)KH-0PxeAI
zkpfv=Iv3;F7;x1`I9n^70;K%3aT#SrXrP9*EuLn;tOn!lgg*tOLSI@tDJlS)iu0BC
z6%4pfXz602QlNICr=dVx9!9JUy2ch6aIaQnM_Gp=ES-!0hq1~*m6BWSBp-n8Zlv_o
zTM_nN@7c}2K!#-!SN(f&fG<2p%u9bNKq1MDH>_C(See-NG;ia=9&-MAUJ76x<F3*9
zP8u$)tXKx}13a(p|C`h)58gMr%Gth2f&ylXb*wOeRX%>F%QnANJB|x@3lL%VzvQEH
z^$gI;D@i6klmnBBl+2d160qxv@uA;Q3{Z}WJ%4CP7BuKQf&PEQAbUf{zF3z5Ww=GN
zAUjz|p0ArT$P)$m{Gtffelz%QNVl&bhYT0Y*&j8=iGZ8=ec4x`X5gZ5p2*2b1|d1g
z=8{xlP|U6oKPqGf<l~L&DP1JUe)ZC^dE1{UD%qQ-W^VJv-|o+wD-9K2<$`tfgrGDi
z*0fdI6v`wV+F9bIK<NIv@Jb91g7Zo&#<eEkH~PaOEm9I5^G!GPp2frHL(+@CJ50b=
z>xOCk4I=oI{K@4o!-JcLde&N-G1zwgjuy!x0IfRPv`8Hf7o8;bNjn=uKQTQ`=G%7t
zTVCcTjPMXwaps=bm=Wwwsw3EvC19mbuDIg_9xNP^)Nc40fgAbN%;aTpXy!2N|C^47
zK+e;d%o~QFac}1p$t5wEI`7-Mwt@#87&gSk8-j;TB2V`fF}N_e&S~c<1W#7Jdo0Kp
zLfJ(A$gHdww9E%cJ{cDRJLl(uP;LMT=|}Q~dPU*7^GRH1h%g*wk2!C<-vG|H=ABr4
zx$XO&3Opy0L?Dq%A@j_<J`7wJ=Azyb1&v#syp3N)AS^GlWMg}82N3dg4qX+6OzMqC
zE{{b)(|Wr0sDVB-t?sbmNf3p;hg*lEgT!F^mdS(BF+I=`qQy-Xi9-5!n_@Osad>&)
zmig}odeC^jc30fED2NaIcv9)O-49-l1JibTaH7Eb@iTQXz<CRZMz|3`{JQp*F5h<i
z$d>z;STXpwdveL_0ueeMvdUYv(;-DdORsHPPmB|4GM~~UA;Oz`F8(PUT=vH8IdDN7
z{Mz?@nC+GV-Ve5?63@{g=(>6oC$|Jh{;O{{kRgH0Rbob`9UVr0t{-{vN&?(%3Jqj~
zWx%R_Z}PMb9S*(Y;QQ=BfP-0gsNOzg_;7GA&|QuWm+UIj2vi~**gB(jUqKeU$h!gt
ziF62elHcNFl?0S!`N@7n7JAj2#x|ts06W*HTeI7`8azIcmnjDiBfo?mr*7x@AG%>M
zDg`FWIVauE$iox4A>S+;I%s}kIM+={Lwv52*k3ILxZ63Ca{4SC{to~E|Njh^cRUqd
z7{=|r_qf)*+<WbHjceV9kdd8AM)Xq|8PTFrl%1>+Nm3*uBuN=9Nh%qo$cToDmQqCg
z?!V{re$F|c^S<YKzK_`_v6k>9Mclfb7M8!LiqVh9wROsjAhsvt%#?sKW?_;mbXyJk
zCq-nUri^gfZ^W6aOc`ya?9%TKlQ9|RJ$*#q7!{k72@-S_l<kV@qthuU6WJe>d%_qN
zlPkl$gDR-j*lsm4O~IxMnSY8FjWK!Y!PtW+B5q%Nm*bE|#r}}fNnSA~IBdB+&5NIe
zjdwKto=B;qQ<E^OzF-2ArZdk=%1Pk27=4wIt&UUvdoJi@m}0;!DyxXDik7Mp>B_I_
z_*s%PFGHbY?zmT_NVh72?SiL6^)xW|uDeq6DIE**RHa%MHRPK{u8a22K!^GnskQND
zxPJF$4r{j>x;&-*#$7dl<tt8aHO;Xl<3nUQjf{jXedhUO4SXFt{f{tVjur>gNV8lr
zIFqCKH@{SeuO^R5ca8<<e`;LvUXw98BtIn<q>kgq-nXY)TH?N@>w{KN3i#5izxH-g
z5w#>qT9~v%{rwk$N(L0jzF7`=%|V6WbZzYIcq@45S|HDy0%r#e{}xpWa=w%dKjdH_
zj`c`am^KA2zK4ANQpxD?rzmYc#K0P*Q)|<?DR`Th5Go_BhR#&4O^hi93Z{=t1oV)>
z;dGa(F;7B&*|gWJ3=p`L!9BB=jO?%WHN}sJP~?m{Twnx9{S`8A6e1&?UPc^0qk@F<
z=HKS+frzd;nYw&6ME;ufAVeu+7hD<*TmZ#RA8S({H4M(`D$Si%gy6TutTqRLC5v+P
zN2Drzf7Q;m>?DBjR%6b}40w}0AAY%qgy%~SYs!P=;Fj(-nMVY&r?oa%Dw6QT_t2$Z
z$ubZfS2t~712$v~y~x~2gsnj6S&<h~P;%AQVccNglh5aa>swUNud|R}zFrdV%A+5?
z_G2K~^JK0jhYB{GudVOnlz`A*e^%QCE9lI*kA{0HqowXf^|p^<C>|VU3(K@ZWKl)3
zuagqm6hgHqOQMk3%2q2YV}(F(^5C&$1=#LqvlFrq1!+DbWUkZ_i3O^6f;$LEcIxU&
zy)1$!!JZF-RV_iCbBjyJlgD)jt*<qfB6v9DH{W>40*(r&*`CGAp{$7i@9=kFtckrE
z`;%gUS9^F|UhS8~l|2mS12w|v3mxN-tTIP%iC}bHmJDiIK6v<52t&z(^}t&VbL>l2
z;o`a_4X;yavFyXbxbsl)zCfKBHY}#Rwpo!v==#QYZOS6paj5T|nxPpQzb`naY?gxL
z{1ineLImeVYg_AY(b4MT__D2661&Ww5B+#10`{&MM|nFsCe!@SRBx8V*dsf)n6;u<
zqwQ4ibifo{F8p!7|4G2Iw<2iUfGCW#MI}hVrr_TGWz4We0_7UvmmfxnVZVRu*_cHW
zXvp8=o=KBH;fH-&hZMzOl_A3^l5c`71xp`Gqa=_Kcb363A&%*t1wpR*CNNB>xb!ky
z0`q_V?c{8b0Ehq4e~HhH;e2#|H{p;3I@WNDmF7x9awSNf?T|69?XJ{jyC?xGw|m}Q
zN2O30<D8_SX^hlj&tcUu=6#4yz9pqd!@J35(r>~Dy&)!*TAGp&o^Uq#R3w9*?N$72
zXN(YZylVdOaY-zuo1PNxkVT;AUZG51W<5$=I#{JZ<hX0Z{!<QzS+ZnfRGIbB^8#Jz
zQYgC3^{myDfUfIb49(|h*xUM4tV&fHA(i}|LfHx+SJP{E_tNnAMp~%WfHd4&G6T-d
zE8;}dcKsU-G(0FfHZ7DVgQ@OKI@3nVI6$|Et2j%;9)f5GTd*vw-%iSGTu{bbXp`4W
z9t|3&9KThpmBW*Q!|uE9s=#2Xmfhkc4F>(?m2npGQ1xBz-k3u~Sv0-gt&9dQUAH5z
ztO*c*BR@3w9|^>w-%S&@Xqb%ZZJXJk0P*lYE1_npI3440wQQ1xVj2GG(s)I<-PHHD
z7E^<nT>y)<lo7VZpV@M{MhTCnDAtOf)bQ(SS<VI@BLuWNkwkVYBO!IGfL|LKr%cml
z0&0vfs#UQlCar?&FN1b|PNN{0{xG&qz!=?@*HiP`RnQsD;_2p0ML}K#TQIYa>gxqb
zQrn4m((FX6U!}rXf!%KNKVv*hd7v>VM8e^|=5wQE>X?0%pCEJG1RVR1Ixb%)fh+O$
z;4W<qbje()zE3rUYkTAc10Pl7%jA8TE78EunD=&~%(;E1Q(YkQTNND#$x=&SH85@R
ze1l~Q9Xzl6Z%AgS;Y_PVYz#pY_K&t4;#^~fj7fFdSTQnq?S*+C6E!ijaqD0;r#Y53
z`rAewC!;uApbx7WsOwJDT<$T);2Dg1&6B~i<>3eE1`YUq(XR{5wt(r;=PS8R6tK??
zwhz!WAZ+XYN5#z&<5!<cj;B-bqo35`b3z@%RV6JZTvn)KPrtkFDh25)yf#9&sffOO
zsrqSy6?zRu5+ZIhb^qkuxy~L6u1cSawR2{mQYq+D;57;?gn0+bo5`pjVA~Qgz<|@K
zsf3TmDR@SmWBroG^s#-}jOQvqy^OqV<T~d5A&*=u98{4s?Q=H8m8t*7CjMjpNrwMM
zosalOgcRN3LTe<DLo~kQokRwuqSV5oP6d~b&cC)x0x12b+)9?!pvSOqxV=>w3?YHK
zjp;yAxYfI)U^Q?vNVFmwMa;G*7Vkd>^eOE<#@4QibMiWFTody67`;Yo?{4O~+u~cC
zc~ud=^IP=nMOmCvdgt!B87O&jSM|a=629!0zHCw`jfJXBDolAm^MQT)kwL^*N~mq=
z9ZA&L|14N500^z$Xvuh>f|=3!=_g7OQ1_bpQFxsJnbyB4M_5!)Imwb#+$@H-U$l3<
zTFXF!7-jCfl`<;6M;8Pi6Gh;s0Nx}0R+#aAH}INW2?n0tQeLSdV2hVs$X;&+x!<gr
zcMBEJ;D59zG)@>_pKY`68?Z#Mq94P8LBIo_(32T9LYOHkGk)e`i9KdbGCvmO@YHtQ
z`thxTFxbs0^R~+Z6=7zBGd;3^Z2ne`K>_^cT8PwPSYWQ(Y_9g2477<}Vr`iMAiSg}
zSKKhiH`is7*>!2O&W0ROO%cGo9fIW&`sOgE{=2N(Ck4mKf<vEL1+dwwFq~X#25k|J
zXZ;*fm^}SvZ6HMuS|=V%hpL;wI5+pPf|n$?4HYC#-xtK;m)EJAs_1~9(ca-(60lQU
z&)9ri2)j?I*!XDC;nk>{Q)VuKtH+*Q(N7SDN4Z;dccUrH9xR6aelCt3)T0(!&LXHI
zg|04Gn8L6`@wI)5II?bNdT#n80^O@SZA>1Uz$KnPZqZd7|5z3zM+!ypr%I>zslN$I
zZ&)yP>xhH1l-JO}M+^~%zu)AXH-_Vh%o3uiIHdb)bqN~cXyl-L*2p!6d26gfyskLP
zW!#;U`6W<!?%{N%fiX@jOkVrvCXQ_bARcA<QsvR`<b%UTcz4p}H6vLZ3CFS|omiyM
z!X~S;F~tZk=4e@Od&MDNro5FTA&rxlnjI79M&MeK*FLKy0SoWUdt2!;I2fvs>i?65
z!xw#aX`PdRYxVUo-)LDRa%|-bZ=zvQtJN)-BnhR+YSQ|fa`@Olj-wu;fp)6mi$a?u
z0uPuu#7hvc<7n(K$(4pW$+cPZ5avAs-v$jPDj-BNM}L7rgWm$z&O(YbTt9A6*Jf2h
zhG|Bh3qK7x4YVYwztV8XD;ni=RK{8T2&It)L+rayA$oK|2HaitpL=9gz^3$MAmE1~
z>c?GvoPH^b-%C*!7;`G%y1T{s^1LC^3g=S4P0C^2%eLG5`-!+)+cuNIMMK;d`CW_u
z<Pm#@{V2Ve1WxIAl?hcE=0{!(ebG<=@9kl=>2s=(rSrW$;KB3-AIgQ>I}|bOA6s)U
zT@A<Y$dh!lXgKxZO{d^BC5YT|`Fc2(j2K#IS<@>T98A`6W+W?Pdv}w>q7Mbdh7Sj-
zXhu*BapmhZR)KtZ;`<0X6}=PBKObi13yJOWjelmCev$I;_LQJHn%gsug)14uCs(I;
z+eISME7W!04yZGAB=3Z0oiS8mKGL*(Nf69bRy=uB1HRLLEN;4(fKP30fV8M84v5Gl
z_RDE9b>)yr{jv$7quF!I@2NtZDBQLwUlZiKD-9htP4Vv%dx}_u8gk61WmrCHBI4o9
z!HFa~lE%FpLj=i)C=jCk71u&*Pjz~<w;9+2JV#T{lW|`}aW9d%eoHt*(M-o222w5!
zb|ebuhVE4^Q<_*+BCN*qTEKYk=|jnR6y*Q(e02J-CbZk0-e!Gk0fQ67b-ptc<a%)4
zzVulGeeO{qp3Ro<*-`UEN0SP|$#b^Dsv0n)6K01Jtni2YDskM63IVA-qMP;AA;jkG
zAZ^M(ahpNk#6~LEQZMz2N>X8$ta$3z7z2F&3KurnP!VqZk$3M98Gp;zE=L;!>>E<n
z8wgV&!Ws9{<d7O1ri%{q>;k^HEx#u){Y93<Vn57$Kl>L?c%PO4D>Z!^v%Dx!ex%|+
zD<R@sppEOAHX!aqLPt$68KD#WnX42PByFsA3w;8p^3e0?hGfh&KL2xTw-V-JE6Qto
z0k_A4p3%qDu)Xo4)oL>VhWAvJNA3gGnQHB?AE?5;L$vD=Q4VhsoJM%A0OSKJuMCz*
z5TdoQh2NFNmp`X9j%G6V&osMeKqWza+fwS@B1!Zm%rDjl0@R4m&V%km%-oCm^tMhM
zZQTk!E84(0mCo-6_Nn08nH7=s>|%JoexH5SCkD2*t{rqeuMB6C_UVWM5u`Le$>)w>
zVD|><w%B4N=u=O8%6uY(-X-qJLm!#^-~DRLf<qAwmevkg69RB~bI46AzzT%+_3FP8
z2(Vu_qe%+j#~0R}+_TRtk$ZiDuUAMO;)Q$2)eJsJJ@%_|Wmtk9eQ%vzvn;0S>Hg#c
zyvPj<+*^Ld0)n^Sh->bXL5Ggx(lu^ge6EsGWG7faEI;1mmZvn9p0<0v9_0aj-R4^^
zndbNr{;<5(Q3~1C9|s=K@xUmG{kO%k8A5s3@3{F%qPl7PQlbqnBGTUuZI3cTNvGNK
zq6`VVRnRmZdBBUp>wAao-qX=7H2lGWsps!^kFF`+$A=(~&&G@ZIy#=8a&IvehxnOu
zI?-PIunXC|?(&E!uKm-u54j<RG_!84H{Jq}H&f7gyxA19(zWjSZesA`{4>NjC<whv
zO@}^@o8a!ri#PYMh~dPkj-Jv^A^bN{e$IA>30D5hu{l2yMfch9kx?lT6c9&uNc}R#
zpV#*@y{klV*6z-x$k)u=<iHzQl5C9GO4iJGrJ~?*{cvZtUKBwk8(8EB#vn$9q;0Ad
z#pt&ihxeUip6_h)rSFCj?s()MAoq%5-SERLzUks<=rU6gWb$frGMa`t#IQZ*#|%%l
z1gQ22S}H6?xR|L^CE+dx)rOmGe3vA_E_eE7$Q2q~7uh>=>ct>zeC^OuuM`e6lr1_2
z(U9cDMOPq+<9^+LVF&nRaJ9pb+k`+vQ<}?<v(@4-`>^JZs*fys?h0Dej~k**@O?77
zy#(TXCA^Nb%HfP=LNuxjA<3d+<1sIR09pGT^ZEpANOX`)J7|dTS7gG87D<?PH7>Wd
zDd6CmHc^_7Ar9=`mT^B@3YXMouRQWqf}gGVT6P#>q)}0BK3*CeHAZy-smwgiR+{@j
z-w?v{?&Z?)GT0@b`uD#u6-ck%6Y<qG#Lii1R_-iW#FcI^cicdPr{kIfjdVkJ_B9jY
zugT#r@4sszP9z*VIHTR=VF-#!o8SDbJW`%^EBe~1LTKh<>FNE3STKLNq199Y9zj+8
z8`r2o+GFY!wcZf=@~;+JPbs2eo3_k#TQa%=n=)d58^SPD!q}Qs8BJL{Q@M5&aQTIW
z_`A_y*|3F>+o24j-1BZROx=1u)_t&wnN##0>@>?uRAKf{Qig7#j+P$BfDfid*b?R>
z-s(Vv%eyE&s*(ndN63f!^e}zopklq27zsfQ?K@|FX@HoOQ#2iEjE<h1xGS$oXt=a#
zw!TplW9*y0EUTH|3eh&V@`5V5I#S1+JhhM+dWf<6s|k7vT<>WzIri+-Ti;zzwXnZ+
zzCN+b6rU{Ow*DoM@h|n=9acqcH1qc~T&Q94l7O;I{v$HzT?fkjth6!2c5$WPj2UFU
zxa+OkPJ!=Lg3=>(ZI}v_jBLv`hl^ut+OBUDNVC4086DNa-F$z?m}Co39AwSIf~fGU
ze(N>vt%X4A<nhvdmbl)hW%;&+iYK&kR*6%ZaDNqjJvGn@8_H_6mglHYQ~pu?`>X~^
z4#bVzGGm}%(@cE~(?{*E*2S8|sH62pb$kj7P;+)|a5tAaWUm#ASIbjz?By_P^hV&H
z|KG4J<5bjWF|G}kk+I<0w}*BfIG>#8opF*1jc7iJ6GCdJ<SRK6GYstKo{Y@WVEVUm
zRQA@LB)n7#()DMvhKIxFKRFjDpk=?@HOu7j4r=ktZ8>Y$J1w0}UL|8~d5H@{O&OEk
z;eo%2)<_j4Pyb`i$L5&fk%wdj<ZT=g7?HO|#EMZ2%RV(obv}3esw)TeV=v<_b6I26
zL0RQxkt+U9oZ@=3OB#<gN6x>02gFDC1WjBeA#Pd8Lyq~MsxqFeTDAa!E{@Xy_ldYC
znw!_%A%>8C4umuFOXUSEpDhC_5G#)Cm+lwAU-yD21v|iYGT0?=N*Ox-T}L);6oONa
zd;cd^VATH_`@yeDVC-05>{`f=ZL5iW3A-6+x%&BjFj)~vWcl#`e_nW16z#t|ZiW22
z@7pqV5s?1hhK#YZ+#oehOx(A%0`06wR`sA9rkqX$v9IHTk)yWe`pcFOXZ;#d>Lv?P
zqQ}pRTR3s0hZOaN&l1`iOWymYnfxysf4B7s2ev)^?Rq!D0*?i|T{F*0Va7?l=2aR8
zXt&Io?)97F0p$#eq9pNr+#5j|9H{dY&S@|)N0r(Y+wnjN80fwzy3@@81vaOjO6SdR
zhwSuDH(DJ0n?<7!T5zICS579G-wcaMM^B5Fh(Yns;oD{toM3y?rf(ikhurR_mB9~8
z9WInFXszKwVX56}#;hq$@EaH8uM>s&-=LwM5^lJZikmiUHAVD4@}S>S5p>Kw`li*$
zgEXz;-(#aDSo`$GP2CU?s9ZQckoJKW-mh1jZG4&QVcFt>1QASf*>t+o`BB{AM&TVd
z#*LRlKUba!!#=**sHRE)KIi>f0=5~$xOVS|ZGkZI4clG)OoT9S(tX#iA4Ujs8wzzx
z7e>qhqwIz$VKfeiJcvy)!m9R#gyu?N1Zf>}rwxf9Fyi;E5*Z^j{%H<z{w|C+pNEtO
zdqgotN(|Rwa{jSH$36(^i=epR;_B=(=KM5@?TPTFA&TZ@M^6yJm!E5|Zu%e&1NpPD
zwabPW{dFTed_n}2jHV-O!jc%%T$AKbZ3rti;_GAUMdA2<;>(ni6udX-^wb0xLbrL(
z=ObgHAnb{{^y`c?&V=SExXBs9IA7yKOuQJ>H#BZlXOYFh$RkCqV+J5)&aO|=6h{rW
zxrzS)ITSKt)*P=gz`}KVrw`x7F|vEx+qHrO1TXdHL?syD!OEt}i5>}r{Kon4W(8RJ
zt?!`v8z3pFQ@Qb`B({8e`IBXz60Wxw59HVzVD(n$aB;g7BnjU#qAHc~`N5prX>$V%
zXzBYs9+JkR{wUjqb1DeudOrzE1GH6A+PyesF~YMrTy~y_)i!IP%j*nqX5{o0MMpVs
zyjgy*rj~@d#7*`KVFn1-f8sM*CJ(L0rvr(1RGD)dqa0RbfP%)s<?liY;4Ahuw;54`
z=nJD^^I-$XL?1Q_%vOZ>k}ZXQfebPKhLua2hA?sNvw1C|49ik(2bvTW`JIA^1G$DE
zbk623Oe$koOj7Tfo;m`)Pu1TMprO;eVY2b23Ir<UYZ`1c@aDzrm}v<O?)1(y?*bx@
ziyu!-vDd_6c6UeZ8Y7Sn%#-i!A)%J-v_+4R7T#SJke6dIhIc5ZQK+{nehiBp58>6u
z>XtEs&;7<A$^Uq7Z=i;P{Hx0^ZffI&XR~ns4HJ-p1H?Y?knw9KlVu}A2eZ^Eu7-M3
z;NJY_uoq-Vo+vE{%+rBg@uhQzo9X!5bLi)#d<wz@s^x`ibwFQitg-7hgS$$oxe0>`
zoBeUWYEyI|Lhwr^yfKH}GvA5YK`Kf(R?V#xb+Fldal6}s1=e5OT-LEp9iC(V9cA04
zjTE<$?^%3SNDp9}J90@K;-9?bULR)Wm)<vq#v%-?O1xQreoP(RQ-qLXuA0cbOt;#^
z)IFovz>kIB)DcSX4nFx-9a2jvA)h0F5S1+N_ao}qOsKLnaiF63a!(57F%a-}*Bzx&
zb)47z-cp-NhRCnX_P<irP%jP66|q!DXAal<ygF5w57+EwcelnTou*%xo2gI_ml754
zA!3g0+=lW!*0@Qr4EiKQMb9&X{e08PxOOvQnkCH|`?BNSG&@q@Se1D&o2ZDQoJQ7}
zRBLQGGv9GBoDBPCe6Ob}<Y4Bw_tE{m);Li>+;KHd4Ofj8_11()BdR!%*L#CC{3>sF
ziN>iSr0QmP>>dd?-)*+NOtr?5yEdCYN0MMF8kaQqTokwYRy5vx10q6GoydViWRw5s
z9}yQu=rHY-bRE!@?c(j^!Tb;H4;DPA{P^=Rvd3{75FMDO?rX0MHTQ<0)G2PflFsC3
zNCSHc?@SdYD`M=LSZ}&1C;mGjFvFk8!1r@aBfs(p5KV5^Ws*P4a@2Cir>qdUYwM$p
zH|3yXGAtOC%nB_=!m^U76-GQZ4AGWlAYYO5);*8~94Fo#KYrX2{C%?0EB?~Z7|&o2
zvR-8<xU-%;GHC%twE^QbZzS=7qgo*?W`&XZ^KT5dsRgR@9_0@lmB11$(5uaSg<*O4
zBH?q6Im~(+i$@&95ynH;TARAU;M&<F-9BrExb;&{cy+~aEbMs8TANjdgFsW@tg{)@
z&$-vt8j0d%+501YIxM*LZutCzIy(4UWFxzLMZjUl=6&TI6F^FN(~n5f5#3NRyb;3C
z(Y2Jn-@%G(Qg4#o5mW34>)cCW7s4%N{_KM-Y*3LLnKSrif+_!Cy2n2O$Q@XH`lOc~
z>NXCpL0e5g<i8cItt9}Ol8|l5DhFb0xNJTQ8{^!2mET%f{P0p(O>1!ELdK@2YA?Nw
z;c@MV=4S<dXx|GHOReQbZIbG&(~uDyhl9qAM)~ma(GNp=Dlev9pKbB=HG<rS3w6p}
ze9%!`Q&`r{2QlA9OX_<XCiX|AvySkA_^X2WFhT$;yFV^JkEMZo-~AhLQv4uEKUrR9
zCIk^L)`To>8om_~XZObQL&WLS%^Wci@JAlaN<ME0BZX_13^@g0=3OgpB_j&i#lI*1
zS{Y)O0H=X*vj8q6rgDTZ-+Slq+F9CL1B@m0Z*$EO#0{+@Edf5_*ix2rIX%k&!-4Z_
z^D=}m#g*Nkcv=D~E(3CYR!n^!xp%^+P8ct~dd8a0NMidexnJqGKDG={7K;yx;Mj{W
z)sNoNpg3+jv-!F{xbB#UEiwD(d+P%0=T|bY@n+OtI;f9_r6z@)%=|og`gX&iJ#t{l
z7Wmq<j#=NV|NH0%G2}f&%uOu<Bpae7+{pUyx~9neY+M|~MTv^Ns|r~EZ{JHFK7Gvp
zdZ=slMFQ>T1bNJuJf)*NUpus@hnl0+x3-E&A<(MvXy&pqQc5>)zn|AbZ`lo{R#$0w
zZo1prB}~MS>woq4R`n1m*fUywK?b_4#ua*cB(U&1J?)XvhpirKva^sJ@}FA>H~XnV
z&vj5D)<z#CxhX9tbLCO2`r%kpz8YTF@`c(b=tJPUeIJjO0)kT&r^g1ETwnQ0d-SP3
zNLr01Eu)Iq{pilPoHP|T#?S9~Y+wMRtIDH79?BpnsPaVmspFS1-~GZm11wc87_3^T
zz^(qzrI8X1eB-4xpR+N9PlcRGxgHUUYco1MUuZ&)_*n1TH$$|pYuvi1PQnL0!<$!^
zv>;p1F{pEc20M#lyJ)g1eAcwcKH|}VbIs<1VTDF0touFxo~Q;`b|$C%)WO+X_Hv){
zjPcHtCFh(x87tI#2TdDwae3n*+kfRIxXu_4aulH8a+>Sr0}6Uz)o`wP{n!)@TQhcu
ze5ZgcgJfwNJ<v}LiyvY)!+y5Hjo0r|@jn0n0RR6Cmv<nReH4c6y?119Uaw8&b7<I#
z5G7G0k)}#YOCr)|XJxO-$fkIHMr7}-WQDA3*}nci|DAKL`?}Sg?5}6*E5PAC&EW78
zT98a-6jtdY4cU*!r(5_GfXC<J&Daoah}t_+@sURcW^?0B8=~YvK);Sa-J=619hW|s
zgv&t3I2rX|G7%nDep-oV!ocvev%=pg8DR6EW(qtf2P;-*HI{e*exBb6Uu2dAVz;{C
zohDf@w-Ds$Oaf?8i)>1wmxT*rf=U~k(ojrug4d8!4}2>89}f1*!1k8JtFSdm(EH30
z;NYbP@2**gEZviVC!WZHsZ|`_P8`Tk;CfKtA>oA2N(0K<)HDkhg`WI4FS%tsIMHld
z9;PA<7kaPL@YxE3%e7-~`snrH!HN`N#ZC&ALuH<`+X#S!m?Qrxvp#IDaGtSql!P}l
zSIL-_dBN>Hd9>z%9;C%xH~M8J0aLvP=ltxsfV=TV{?3pdWY*aVZ%K&*Ny6n6G{y$Q
zrQudTvh-j+=Mc%?zoOv(&E&c8TV`k)a%)Ywq6bcjmtHR+5ja(>vlp#P2bZ6}_(Ub3
z2QDY;y1fF0p>J|i+_9Jv@(1eEUN-|6y>K7!v=IWza;DpjtEBLett|G=ZGfRX^Fjt&
z0qBvsO~%;2hn>={ewfA$5NC5&_c-5SsQPR<A;P<by*vGY*6}t5gFM#vx_1si)UB&c
zApz?cgcM)PFV=<7y1gUud)!dt>uhs=Zv_kLDm#$g)BzL3ds0u73%Zl{?K@5{W0!@l
zeZ{nOpfp+iyNM?U*oVjYXS*$7wbYKr`_HstP4VHN?Fbv39{9SxF1Unw{yse{)T#wf
z6gth0-(`hsAytld&n;m_Buw67eE;sv{i^L5B^G$io_M8_Vi|MRmS{e6O%r5{yTTj9
zn802%`8qGn3U;O~S^syf1|%f-u>X{100k18jf>W+*jna}-MoMXIHYQP2)jWCo??9$
zvqsjiz~w9V+<lM0e!@nN={gO3Nj&E9D}Dp>Xe4R9G_DQ?>?18sMbuzK*?%GR#U|Ei
zTb0~qtPZVL6%&--Q-P(38t12oZEUu;>tbrD8uSEfUNY*Ygu>>*xaRs@3|*6GACOW5
z^#txZCjuo{WSN{j&wGH$ygK>B{hcZ_xDy{gDWHJ*nzX{i1`<G&&#0_<RDphHa{KQ^
z3UFxQ71U=Z11`^16cwcc1J>U|uWM02%dI<@_)T))kT42UJ){C;TCC>N8WceH+Wk%Q
zI0cAq^ap4qDTA3ceP+2m1%y%|A-=0raO-?ZaG9(!&>j=3ic6t@_@#mAQ?xYT@Ht(m
z_OlWgxn1>*r=x_?+xM?*)X+kzgSo!<DJ3ZSPwS6J1SRk<S?CPJ&_nlp>2=asMOcjZ
zHb19J1*B~2^W>q7a98*8kDvfWP;_U1Momu*DqMSaN<T0|wTb!AX@VkD`&{bn-J}M?
zHl8~L8~^qx|DRuSuL77@EjE+W(n4;5ziKyu4W^u`;+y>xAUT5#d#Oza0sEm&d=J=x
zE(FzRXexkvfM!N)1U)djFBse&<$&?7<@VNjd8ne`-z{Zh1jhURObt$4aDD%$<hR@M
zptPy*UsxFv2%M)j+B@I|lkD$fC3Ny|PmeK|`WOowxBKEZ`{fXfGmj`r780RPRsCav
z9xKqt|5$=pKCrj;7oGAX0-j+JC1}G2_+YB6PYgdu{bBxh9Yn~tYbnos#twQzw1U;2
z1)=ayWZr@l5%gdEwKDz20kNA?qvIsPFfMOeV@4ptbmQ_6n-mw+35^|ZQx$=qF|JFh
zW<*G6{INEY!VO}rGu8SJMWHyr{S4Eaf4p3D3c93m2%Mz{UY+R{gVZptil}uW+<(q;
zo@AaEzPS69+|`f(hs}klVLy40d%ko#x8g8_&Tdnxe3XQ*=c)|e3Ms&Y!g!Vbw151v
z9GVrBk_OT>Lp$GS1@Kty-hXQ)1U#vScHd^n0FQ)(%4umui17=!Rew<!Le2~YB}x*&
z<*VgY@qR@pb==&t^bvtkwTgxO1Uc~TIE$60E5WHnM#b$oQJ7gu5hx&)hmHP)Z^q%u
z&~I_vsj^xO$|)k-yu}nCXaKw~C98mEBgOfS-{P>{aeMA#p#m75sBnASt_nQ~ddEW;
zBw@kJac)pj5h(ddty=lift7wG<bk9Vd>rlhBl|!RuCj9)PCq*WMWwNmmdes_YmrxU
zDOC~9g=U^hIM9IEtR5aUX&LyW+q5c{s0gax7yb;t(gN3K+8yJhvS8n`rq1N52tBjX
z!Hs-6@Wa|sh^a&t%7-?rx;GVIV7Mr4FH;xts<m9&bO~^StaO^zN&ytfsV^|H0kA9g
z-D8U)z-0B;2&oMsTr0_yfEoa4`R<d4N(t~Cyw>hd5kLYvBFS|@5AOY72^@MyfVPEB
zo~-~G@JabI(lMb2Z=&eMY)uKUx!f%9dsz}L((q;unCini)90cxBnu6{GK^J@h{IEX
z*g~4O`cV1$Y3+#v8K~gdF^{+{0!boD|JBs#L)dhxjxwVR{El@^#JmLIRr1BW-`)B^
z!`0QGzAOd3zi?7}eO_?zsJ)%i@NfQA&XPc(B>bg`A35jA3I0m|)zYQv!&oqXl>Rvh
zxJDe76=Y$Bjz@lvI^Fc4rO!x|c|{Bk=sBWCuhPNVDT$B~L4CL=o}(B2SQL1FQh3KS
zki(n6x}P+SdeEZu$N-}kfw$|P@|3Q-m_WDOjjn&WChftc{X9+xS{m*4iTbNp57!vc
zoJ<c`g5o7|+y!9h2G=U(pJ~iCl=ddwTlmM7G8dIfK48u*y&7mbfbCu<Zm|#m4o}b@
z7$_YA+vh^nn&j13$gv2kvBwxp?|iFFZ|4G@4wG*4x%c>X$g_diY+cyP*V?su%K@vL
zcibX$>TwHs!xNL=b)e+h-0b9QHlPTpdna?yhIb|PC^ysSKwCe1bU{7~C^S+%r<Cf%
zNpGj+&12e7*IuxxNx}qv=id17yzjtUo^0*JJ=6kb|Nh^R>vYhsxhLaG-inVN9$8qc
z(u4?|Pdr&VG=OgtgT)B-_$BjNfki4!kQ^Mb{`D^}hWu}OJ)f_@4PHtHyIX0%)ruS;
zgF<phE04E54{>-*<&2wd<`MY)YEC8WJ1JZ}@uu$9nOyAngPldy19ga`UYqneLIOvw
zaAs?$)MBp!4Tc2l)gjb2<85Z<9(J7X%2i{Hc5IH<UALi94NQ`A6SWO?FtPFBJE>K@
zn9vbcVG=PlSfa7!vN*AYy|_I-n7TTIam%=$dKaP!hfQ8~$;SW1NGhIv$lx8r?(V&M
z|6orAdRC@xbixMK=H|vEr1uLWII{BIx}gGd-m@W$a_d;nR*qws=QQT;n&#><tqdJ>
zMXO$C*RY(t+V`vJvzW6*$o7$o$`CE}{D@oaD#jeq(ic3pfDP-g$MlRU0ap^}(p_4`
zl2eRn98#7rxt?Jq(Mw9;elzr`hUzNjcXpCu;@k?R*7)T!+l(S?wp+`*R$IkZ$pg6u
z#n-T?FQ&W^w-mv<OV8iXc@<kIX8k2Vv4Jtky(h#SD1h*l-g~FNtYS}T_*I9u|6+<)
zB7X_|rvT9x%k-6W*08_owfrGW+t_m{%ZG>laqIGW7Ww|<8peMy)nW7KE|#U95yW~=
z9)viz=p9Pdv6R}WhssI&nD1^1VfZ5vm^}1OJj>m{7(VmAu!$gn>}k)Glo>hD@y)9c
zX#b0Cc^v79UM2-YK6iq*oE$jPI%!`yw1tt-Hhf&aN)CG^lSIG!1h_-ip~LoO8>@t;
zHaIyYY!OJb*Z+BOjeIO_rnHN(2e?Q-!Kt8sMlgU$To!omvFSHb?qkz;%uZ0G(7>bA
zp&{{?G7wS5&}>UZ0<j!9^Y(dk(DdgHPu8+D;Bh@UcH*P}Qb4W0a3PnI`qvx-e10YD
z%I_i#zDz-0`%Yw_dRO0F*Pa>fZu$|4<5G~qFe{l<MGk7!<*d16tgs$`XFkhK3Vz(V
zd3{ia5~c*Rmo@LQfok10d*H4l)H%;g1&vcd%=zC(pVM=I$9_HYL7XI1mnJ^$&7%Rs
zeC4PMUpb+=ufX5iND{74tUuz(rUPrbAKT>_++ZQWvXw_A2{sFfjw_uEU@4Oy{kY%|
z*ojo&xxEr#>2}boN@Rwh>t9BK=J+6nl-}W2nFKTqK=<M(3n1uC46+h{z?_TA@`Vy`
zD%0-Jb3-;Dk<#y)y(a`YX0v8X4HD2$lr}xu&JOvyXXWEYgn_zFlazf&0?sJ^U8nTs
zgv*6DTYH^Efqg3dudszAsNoL{8;^6t8NZx3|9vqS^^5#&)-DMovgeAb)DHpO?ANXK
zA_<tMvedcdBL$SN>M~hQ@j-Q#Bk#9oQef-;ft1Bw8uXm4OHRJw2Xk8q2^kj|P$o(d
zkKC7m_gkMb)Yb*zRwjk#t_=Z{XHN?_^~pjU|D=o}2*a}Qo|n7@5v<dv+WDW#LGD@0
z<^3oT2x!JK1jH3UoRhaX_n|yko^LKL*cF9`S$A4yc@^QbWvrpnZw2_3J3}15CJtXT
z7_M27DS;kIjj$^yL3~6l$&X11D1ThvtJ<Xm_7z972OE^(Z=`C@QwJ$9b)?$hexeKs
z1_RaiAF0Ac;ul)w4rw4Lgd4|@s6fW8jOpm}>Oe>PY@t_C7SuQA6!;8P;9^1KI}axf
z@Ns4|qx2>~a&jtOX7bMic8<UO=&J=D+QWP|WB>iZh1$^vWGWELTG;QOsRLjC7)acH
zMTBuF)7`Ag%1~bSFq6F*gWbdmmmVE?_!YjBMRHFG5_ErBNzDOJoUmmnd@m2IhgBRx
z)fGW4ke;V=P!Ap~7+HEY%EK);F~h%?<Y6{oA?C~neMl~<8@UrH4<qM2`g><&VKJyi
zQo{Nul-qt@?_!h(mY?OdQQ}f?ZA#UNq5CLQ4oFlutN!z{vqQ&+FfsU9PG9mx<QP0z
zbKgv6lLLa^vfZeo5Y)fc_8&cV4DwC$(&_VLfxXtx-o)+@Xeakg)M_7tCZNi*;*x;|
zw|+XoCv4z(TXpUe^Dzj_T@Q4#mV$VHKzA$u^^zbVG3mOaF#67M@`1Mmj5gg}ZkFH0
zj`TQhvp5}vQfI=d)EhB)MR8y5iq|hphpSkKWkDZkIsER8C5wQPN2LvMsT23Tah8SC
zQy;zva?RfTECeHYjTQR}OSsp1LJ<3m9w<1P=M6USLltJH6|KI7e|#C+wCJP<F_n|X
z)Bn7oMNYW>^q&L#oW1tUtD%3n-18!7dx;D7xd&hLpCv=CzsK)SoB=p=wyt%oj~!CP
zH2T)o$kEq>JZ0Z}41}sx9@cELK)CNm-LORpWUS<<{k}pMK9Tj)NER~y`@4y}+Uu0a
zG`%8awoM1dSy^jD7O3F?twWzhBqjRx`!kuvf;QxmT)|Goki&+f2=({_N_1#=#wdbQ
z8$Rtnf2QktfN4q?J6%wtMEK@1le&Qx+;e1!c6QsuDz!*<{01n{mz)osDNi-w?}oK=
zh13eRHFKf+)-4J|c=X&>vrYr7|Hv(hOU+=-HMdqV1`6c$Slrx&NdpQKA1er4`H6{8
zTQNM#BS%J2Hak%lj(`YJeb?5c5nE4HpQ^t|jt+0RBwCcJL&rp~`{|Z!yw^Sc_Pz``
z`kqD=D#@u1&ad9btlsIwJqLeu_tKN2m&IquKi^k_D3h+bbA~_h2^F2Q6g1?BJ^e3T
z<(Mi|jl7oZUjKy$&WF<n3zMVaRtvNFld4dzUNC>oXcnJHs1#bXBS%EzbBXM=D&YO%
z*jlaHB5o@c#BN_ej<yVat7x=TphEFv3;XOc&e$fI)G14WvJ8%Ce<)RkON5-@72Y*`
zo@ha$-9Ujh{G78VjwnOL+t&^k)i>}nkH0?(enE*4dO?|5r3A`7mXU0RoA|@nREri@
zDm17wcW2yC30%ZlHaV=falNBn39{FzQMvdPt<*k6=)~LY)?IdS`A2b5j0rS|@y~xd
zf37M5nJ?)`$J2d$E4%U%^C~T3pvckaCsPEm;#uR8GbAWhWR{)%Ha)UgClU2YRDczW
zUw6|VkfM)5v16DZBl@B29Jdb&(4?m{JMxhXO@=j2P;E0I{3w~UY`Z+v*Xq4}x=fB1
z<ZXjlpR*uO?w^-QCI9t4BiG6#6G|khG1h33%8Ja7)<y{Z<I5b$aSrP$D%5&+?V<Gu
z8){8>WM{S|2Zh(f>MKoY5P9f)-{KJt^hYqf!OKey*3C-?DYt3St(Een)lZyAj`DM8
z=>Y+5H(wgK+(?g>FS`mGn{p$~m_;Vn7y@j`KT(seVnqC6FByN*9zu<2?`gP?5#Vcp
zE^W#XGcqCCx`xd2qNQWiI?1F2kTH(_6vf7h6rM^uaBmz&)#r=c<$Gj-{{^2m+etQL
zlTzlfAt{J{e^d`XRwWC^tu;)h)7TM}f-iMywGcWNo>cv{Mivgfs}84gaw1@99W$U1
zL6<W}CCDaa;TcEg$ImHTNO6|pY~wjmv^|-4woHluf6V^=b~NKb73~}~z71lCWw=h9
zCyW3p&XI19xp>jR7iR&+6B5Yd^$q$eaXIjf6%7sF=R?QEgSpgtCDDrq#?$G)<v`P^
zh~Q5tfLwJtqLXe)BhBS5de%`Q2)<wO#yEx0ljBo730$(M_7-b@4vhlLPFz~(Qx!&<
z;tNVMl>{Vx>mc|iQUId&kR;<J5tLz(mVEyL5gpiP(f^HAghT@Yx2#xE)R+D;-E>(V
zO}*z<A9$+-VW-~)#}A01sCDnnf<gsUqC2jf@>v;5?6_iP`6Q58^G)_8J4N(BHDJ$@
zTor^o4KzaRB~kT>$*R-|MU<qP-Fw4R4ZI%ZWZ#RFLh7cl9%rb8SeZ$NGq%)W+S%A4
z2A4+hD`NebPn6I=OvmKiL=Cu{+Tz39ErYhXmPj@Ilu*9b+dO((E#S79t8r<NML|7<
z#WH3}sBb7Y1P<xI%e<Qod*K8mFYwCTzfTeQ%;<0|eb)sEQzo%D3UbKhMlTqPD5B*v
z*Mt7mDHxpZ=tYro=)rH&p?P@)WHdZj5=o;6CwJ_rsw(9Wzi)IWFC!6cp7}_sRIUd;
zyCsLK)8vquCZ^?nK^C2qp-Uby(+7T0a_qj59MYHVxNmt~3O&0+d}C3g4+$rzqg8VV
zXfv@$pukofoo8%aq2)LV_N5BE<K42zq4VdF6Guc)m@u)<SN|wX6S*0RYGqK;C($xX
zO97NM(rZC_@+fp^avv}9lSaRaX3QSH;6d>&0l#l(9|he}Yez95DYSacfF+*DjyS4Z
z9yc)^1zhf2`(UC3vZga&z1YftvVz1feQ45$p_k`RW-*GRCU4TsiMtf2Lc@tTbVna}
z!sonuZ;7I%Q#rNVHQTu2gP_nkR(<HT=Kh8HgprJWLB&`4Kltx>Wrp>1JxHg_6izxS
zggmFOFc#{5$3u0wX>Y3NLCJujYt4OrRCl@k*Xf8#Y&qRQQVs#A$ojUJz2-$T=4x!Q
z--of8!B_GYCID?)S8@uPxl!e+uTMM6G*%EKRyLN4L1a%>&C4U4C_K9~TQq$h6Fq*H
z*`Qe$V!xS*dwpj^-cq)XuUVEb)hOL~%>^A0IbAsAm%)OH2AQS9H<vIyZnrD1Idvdq
zHNtT66eD^x)L*=-v5YN9=J=!>(}r$i`3rN!wCH`g8L86V62{_c6#w4?EjTf@=|^>+
z3gz9sskC=#33D;o&eSgbmurMLP3ACi^xodgK!sxwBV#(Me{EX>C}lG1W%o(Ydu_9d
zdin)ytGQ~X|ELC#29YOed+gy09Mo;hU9(t>mCsxG@FNhL<}pR-x`k5+jYN1q`;B?&
zI2;K5RtG*=C%=P{b$sT&#!j8$6ed5xdcsj(9o`T=xOFzI;DIL&&Z;a<VAn#j7&4O8
zV0h#>X(8VdUiy72Htg#dM(*XJ_lZ&sI;u(I4!@bhTeM95<?fGQgXi9<8+fXM0x{B7
zHeec0^5uJDk~@T*@^3U#9#R2xEno5-^Dn%-e<gNSu^+?Yf^AQjs=$w&kM=~4G5l0$
zw5d2nFDCQEa>Ke>8E7QKoxB-_@tir*(iG7yET$@YOiNQ4vZS{@`Q`QFx{q6p!g$-U
z{*uq;y(LPpSoNg;-ewQpUrgZ<<K2WAjy9bmQ~&3c%9*c(Iy-Uq#@A!IXX`P7NlZj~
zg(5f>8Qb=lwBdmTFH_!ps=<gNq(P~AiokT8WzVR&5x)=+z!mtr3VZFG|8%@r0iNwn
z6~>a)<1G@VUB`*#Sp0`$lE!ulkl&Qumep5-OEU-gJQFCwME`qK<=-t27i(6Uzbhl$
zRIk9j&oB?$RqP?$*e1e+V`G^i^%wlR=2g=U+f0o4C%2x2BoPvdC-0<tl;M{7#zof+
zldvC8mNlQ)$wAXyj_1NY#dz?VP1f#QIA(lut-&Ug0A_7h(0SfM{L6N5DjVHXY<BJT
z`13YdSo^aWSgiU9FT1$1=i7817fd`=I?f^s1&mS)f%o$8ll#7&_<%p2vBnX4(pCm`
zJe`kkYvthc3mM6)XCrXhAi;*rG--G@;iDdu^Z^(A=CysSD<1d1KAhLME(K-z6dk8S
z-{aHw6ZI}VO2NNS+D1m0NP#=Mj=tD_HqPICEwbie1}>x-@Zop5B&57)R;M4##?u(t
zJ>K4bk2gqB(PUCcg1Di@i3Q&Gcme0*N{gqtcnf)B>?c<VXeRknL@0lcGkhF7Yj^q+
zzRyxEIoBo*<2|dR7xF&fRWu(y(LXH23E>iY>YCzUxR6@TvHcNmFu;86YKn1+Y#03p
z*<$bz-&;$J&c)dn9LcBU%J7x+7?YU8VxZhi<+5`$AHU*CIrFr>0yiKF*Le^w3cSxQ
zu^V0fgr{Gbo5Lb1@u4eMOURi-!L(}tlPfB~SF&Sg+D;<8LG?Wof3OIY+8oAP<%{s@
zWv&<Po7K3NyTF-TMiGeBzvy!?RE%3*wHNu@Sc`upTs)H$CJd79?sf)WO7S+|+ij1(
zeZ}|Vj9&lX6^6=dUFU!Hl;bAjb0>MX8}O4fr{v5sgkYL2eX~sF3+`9O<V@<)gpac6
zhz+X<fvmZRM`&#oUZ!Dkmx-kn_nUp9vJ@-`X@?fFw!08M?99h_g|q{Izn;0sQ6d0V
zY(<hEJZf;OxBJGODV;b&_Ui$%Nq%VT9A{uwuEQm^@~=$Z=*D{thgKsG@q>-s=GM4O
zJ#JxSNY-?t7oWt0cR!py43q=-@_oB+c;Pz9@grG%_+;b9*J9y(uyucJxuLEJf4KEi
z@D2YUPFbs9HrB@r6*jA-k8Zc({|yM;o9_F8A94;6su$)3+Pl*?1Jye4;x`g;G9x2+
zM`esx`He%MSQ0q6^rI91oR*))`ECq9TH+d)R>uST3HQ4aKXv0l(tI_J4=3<%+5ais
z;pYLeR9Vi}@?P9a`9ss%n@PN0X{wyZhZ`J!O!%7Y^x>_!HpZ(zr}0AZo4PNDxj-{m
zQXu}}AihYcdR67dEbdvUre1N33zlfEyOA9q#x*cLQ+tyIyxqz=x*(qu<WddX%!s2n
zG2YA3TYCw&@sAbt7Ul$weU2TCsWF@}uc|?pbOq-<^NUX?ngf!ozgt<iPvH59?#O&=
z6|de7HT}xU0n2?OQO6c1@ep@L#b}ug{JOquazrRQ{IPSJvNHXRYt)Uh7RPPkca^T4
zY35>wtZwJ1kcC-1D48po+G+=1dSSiwIhhS?=7}avg9|v_NwxL5bNl!NVZ^Lki48Vd
za(JCXmT*PQ25Xw1B#8f$hR?euR>+G#|2fTJ1?QBn2o1!^kV9rkN|zfev`DuPMqXOO
z>rZou(e_iIRGBt&8&+0maBy`wn!16Pzs%G9Do2e1iW>yXYFHpSFH-ul*cP6_UH>Gt
zffglS*j1G9Wr2%L$o|fs9lTjCN<uq_0kx6q{mD7O0)b^sPYP%c@V$I<sfj6OBr1A(
zKvaMQ=G4wHq+q1zZ~Ljy?^UeGa;EpJH8l%}Y(LFRAdsUwU5Q-fmFy@WV9d6Pk_Gmp
z3`9>`P$D)qX|oIKoG2{)O=&(q3mjg5B+ybwjZWyVKXP*CLA1QwEzhl3pyFQ9V&qvm
zr0JMK5h2cp=9yoimV6eF5zY^<G-X8Y!x!o%r3Db59CdP%CM&$&@mv@)WI>LeEfbu$
z5Ska;P#xW2g@L!MYPCFUX!ojQ`%Jh9+H}z>4<=y;ZjHP^23`(icPnhSJW>q#nY6@;
zoZ*1XXTQqpPH~}tjFVwJ^%96Dy5YYy7B1l3C+n&~JSaEHv;2;@H0quw&3LHK1LVWB
z#-7*sP-=mNZ%BbG$_*@W3?t_Q1Dv<-vYh}DpjB_GaU-Hhr*sOB>jFUd9L!H$D}>Vi
z&KYv0C?KiNEomZ_!jLO2_~4$m2>P?3B7Txj37u&&SI{04h0A@v&ia~*A)oJrR(Pw7
z{s#a6|Njh^cRbX89LFn>WS;GebLZ~tA~&qNS7fgUl@c;CA{p%;iPA!3B@$6uXecwM
zh(bn#77Z#AC8DB!_wVQNeSE&3@%}tt&o@Ppn-?%m!y}1#(S8n%_odd^YqJ=GC(F%y
z+*zQF%XdXi3Rr3K>dqd292&;tr5DEphJMrsmzunhw_ckUzs+>gy^zIInW!Gi7&XAB
zzmDMr5xPA2f-$X}3^vabG7X%YM!2J2>3L_DKJUivCC4}F8uKdjHA+UCS=h9GNyqSt
z6}&j7RKeV}#ypYYG$mCDQ@kBpqA<M7fTt6?QBG%)&1>Qs_IT{(;Q1-L;Db#Dyqt*9
z@7HHpyg`STZk!1~wPz;efVClSZu0}X&@D`!QRnY{1t%=<FG61X!%0J)-7bQi65EJJ
zTCk0y_|FnqCKsBtPaE=5pH~-;oHXFgm+si&xY7zYM!vcEZ#3kM&C1nGk@R@)x9c<G
zl&mq`7W3&*p8@avx$0|m%`~2L@n*UHtJe5^((Ttff&uSsu6Eb6tt4K?&4=#Jqt>{d
zDZc-$41ZtOFNWz>%kbvLvicXlw1!($@VH-(9`EnwvTNid0UnLxmJxfz8jpBlluZmB
z9;!U+`&Lyn9;laY{<+v1!eoE9wg^pLmt^!l>H5Fi$+Tb}7auEJZeX5~$)fV+BCeM8
z6GUO=edtbq>1uTRDX=<IPv-UCv^Xd?L4bw&(=%I!Eb;37<L-xF)Oa$B<6Np!<>2oW
zFY}mUiL_n?!I?ZIUd%A#<wq4o#Ikpq>xWuk#rHvmeXcAo(c|Jr^eSN{(MW<>w+iKB
zZ_@9KOY-J6Wmf9FA!6^6V%7T!t6=d;VEI9trM%3oP^k)0M*KN%=fFfD+i6X@#g2tM
zDNCwH?-^w*oF^)kPIDpjt84GhYg3IL#>9n{CzVk$XPS{P$3etPpHTX~!A8FhiDN!K
z%GeX}verqF1IZ^d*LMnba=)}b?c^ycBgWmZrrXXO;XhASH1>Vr9t&sg4(}vFud9;q
z{<s<bBLr<NR-57aJh>KiGKq+Uu}_PSzA;5<`R-K#8~$-!Q`-*}S`*RuA>-aMb5n4f
zk{Jpc1u&V~&74*sA~(Csd8*6=y#^Om7hMv<j*C$Xo&G7o?!`$t36cpOJ6_mcaegV>
z$E#bYb4u`xNmdCeGRCm|c9*zyqIk4+qEuXph|ui{c_zBXAU@T$dC?^f?xPa>_Z%W7
z>h@^<ZDiy5>+frGk4s`{@9m#I4iVw}bpVc=*vMFYaY5V}DM-jHF){c^L_l4d-OvIy
z;v5Y2zCA-g{YKFQ6aM*(o)Qc$xyC}9M9sz2lhR0XO<EoEO&M9s%Ls?Iupn<ZvVCN~
z3{3aA8xu~eU~@?Qnk+RIws-`681a_{@owrVmG!Ea+|_YxW{8RFg_#VxtsGRvFEV!N
zsv+;lc<aCoCc>?H^<L}9V?%zSd6)<Z$IA;1P8?-oUah+Ki=+bfuRDDDeKHAOBn9p`
zhA>g3AgM7ts{lPlZE1&?IyBn@%67Ujv3@S0O>kHdTL!e(Gta0a^TI)mtyWBE9;_`k
zeXax*$*bc_my?lZY-<>A!G!2Sg*8<Ey^?ixUM+1SV@RmLpJdNO=!b$LsYl9qP-c0t
zJ%9qgHp08IO-zi{_ALL~p@P_F{f0LMG@z5~bw6S+6XHwiOtYS;;(1-#{qbTA)Q7V#
z)}CiV@IWhB=YtyBe<eo5fQq+6vN28lOl&E0f9t)Mglh}tb}f8KMWKL>cYz`cM!g#p
zViv38_mNj_%HcG;O_DIN4q`#L)~N1xsyZB$TE-P;Xb5?5BK+uG7Lo&e+&?OiQA?Ko
zLyM*3lO?foA(;&U%HNW|=g7!KOqs_J9aqOkj3iF7aqM%8`8z5F<l$cP%2k>uUV5&n
zdx<fur}n)Ryg<Pw`i;aj$21YY^?tbO5o5H8eQjx0(}1(iaNfQ;O>FC1&~sSA1Z<se
zu|DY<xM}g$v8h)RXZMc;yX2c-S-JPNWxq7=BqP*C<uQM}?84{Wx~6!#D#+}gI~5x{
zLjn}8YNEGne6qE{6x;<p-U;Was9pP_^<$VOHXdw?=yfu~8>eye+4odvPZSUn#5A!h
zU@1rHr5Qdn3$^~1qCxQ6JCUk%I=;L*P(1Bpj*)Ezp}xy$u%TO8>HMZ)L1G7G;Tv;w
zSQ3g{OlSzz{KfLKqk*|>cJqKU2iey5yX_2V*c58CF#8}CYI1~+yKizZRki2JN_iUg
z4TSkzxugMqvs7EcQZ5W-T<tfEP|-zbE}6SWLDsp@6gOusgk{)8;g_g*+OW7?{|Ol!
z+k{@XgIuKeY_&MFo{G)e&+VBXP{+ZOlU_w7TpWB_)h;@#fkWz{!b`u9aOSDUB5oBI
zi9GR&x}zG9@=Q!{n^A*TVtr-yEiUGATI`Y}H1OKtPJ5b`D&CjR{Mde;i|scS1s*(3
zLGj=h@ng}-xV1FIbb$Zg0Pgu!Bmc-C_qETpzf?lw+Yk?ZcP{=7KQo_<AY)9oq^7`M
z5s`k4wNDhd2uxW&+woEzidWPkMWht)$Nc=PXD<i&_KErFR_cg-!_l4|l7oS(v61yb
z4)S7o_ZinoSmD_Imi<;1Ef*a9HMKeTFWg=^NsWYeWQl^VMY1?;Ikzvm-5f=<)IvQC
zHMAVg8=P~Hfk|&t`k}4n_{&^7RVJef|MUBmch^dT=*r7K_s<O1%;Z}K2rA%&KYE?%
zD2=lu%M+h7&EQ?9XVytl#z`xi{-6cY*z!q6(_hmJ_tq|7Ed?UB>Z&Yz_k@70!UFEU
zYE4lY8?<D6hZ4?ZY~4K3On^zo<mx?6rf}Y7`^e*tBF;&wj2`PDVDcNq>GWF@eDPAe
z_(PJPPo=&Z4`&Gcca<>xJH`ZmI6pEN@d`NJnV0a9A&r+On7aDQOmO*+BiD100<0aX
z)SQk<<0jF<@78%^K8LCf2Ia})u*3;s?hk2v;T_o}z%>R%BwWPPMjpGj-KJ+o%Al?K
z*}fxh*oZkQr~OA*9($WdzL+nN1wq@CcsZU82Vz^f;-DPVb;QrzE#jYZ>+QZrR5sLK
zlP(57lmoHB2V33cFnDS8ynQzd-zS}jIjwT|+IO({vb;QQE*IZ;ES?3?OUAcdUdZ7{
zMtq^%7kPyKJ={F9l7&1^*+A33a_BfX9^?2}0eOAC-W^|=Xq$|gTEvt`MEae`S)L;7
z)Q()wy~YHb?%i-XAdgz%uj6g^l%QH8m|GLg1Z&ZHwf5KY2pE1`7Vw0K^5s3R&w`0y
zYVuVT2L(*O(sA*fREBa(@Z|;>Cd%_OPLDlOz=&OH$VxR;G+az5JNb=)yD3$lpKnw|
zgm~;O-3@BEmKoBN^OS)@6T-1O<`q$QXjb=z3kmtgpZ2Y5VqnlqSkIzD37b{2`4vpU
zq3?B1*4<$sC{AimZ6p!@R@bX_l&T{uxO^9xKQ7uL_HxB4Wdtc)iXp8d<CxYJSMcX~
z5+U*Qg_;WfGkmYMav23dy=7+1=M3b$Ota)IQ^mJG0bZp%3gSk$bRPK0z*uCieS?4+
zN`&m=pT}yTyWy;S8kvbTRnJ7&0wmngaQ{50NriD&@s@foCd9ZdpOlW0usc`caYi2%
zN(*N?Z3~(3&`Fm|C#a)aKxAZhJPke1L+93fW8zw)K<@st>bP}o$N7F0I&SaTIMeLJ
z!u40D+_H4YIDVu5T0;dLMgLR^H{W65#ze4ca5WhOdifn8LrpxmK26QlWuxVR(%yBJ
z6nN)VzusM>i4~R_oby-NxTclkdiD_ogMs=&FMex6rZb_#k7*1C>x`8ij(pC4C|$hF
zR0~pjswMr}jKMBUHQW0@1B@z@V+<cHobqH@^!u8C9_RP+50i?&SMNuU1ZW|DFDdiN
zya`GYSFe9?hM#kOJrefzT3FyL<R6o7igVJxK0KME;?t(JK`X_zkX$!9n`&Z)>sJ=W
za`=2+L2?k^Sg8rJuWP^FGc#OuAm4F|q(ONoWl^w!CU~VIpLT?pLy4pIs`wNQubUD%
ze>3Pv5qDu7o-)U*>lYz~^EA*s4DZ+V(a<Gkl-Ll>f#~Qr!osusy!d>5f+|46ERV{n
z7~+6FxPGHb694=0@0H1lRD{22PI9&4bDQ9OrPza?A7Vw-_xQP&Y_z~lJd+FC-l{Tl
zX&Nke?*inB6v!%g8TWK?;n+2rCwi9(V)N;xpC!qV`H^r^Y?ce2L&(R>byP&}oWHqW
zNF8SuRgpIf0nz0Gg16pjz&j<%v||AYwKmSGT1$X2KRMNu%^JuO%AyqrtK!X%y&0AB
zToepE%8KcxK>ttVvfEn9xWVnnlYGs^BK^0sFO4av6gwzR4^zVHmbS}ZFLS}N4?M*#
zAfuUer@N*{0cTu-O2)&u$Ykv3_&ukNVWXVIExz(dd73iTP2wWF^NM23Ms<t{>HAwN
z$-yJnUC6VYgCwOJ;$5{QbbiW|7x^ax-`9=lM&TU%mXYHvRv}@7&co1`;xc%htTiht
z%z;(k=YgwB)KEaEoVsBvjUiRbO1}bgC?39@l=)5t9o@QNKQ0r{(sb-@hQ2wT*sosg
z!S|~U`XNf%N&-51^S-{SH^ahw-vWtdBJ2#5JXmj~Fr{-})5FdTL0S3EJG+(mUY52j
zzFZ0<MVr8>r>2-VCGOkzO%Vs~P{U^VKI=Nb%{u98ijFs~4{0<-{BFIl-Qj{1BER++
z4Ud^1>g?Xhr8^WL(6IfYb-NS-&K_6F-fMyk2f~gIJ@OEUCl!tg6HvBW$6=+22~7Oz
z5(jMM5&w9gHPV}am^W3WX8Fdj*yK0<>zN#uJ?<)UZY5w<?`<clfia@f{HCP#$f5A~
z&@jVF8sp0|9(X=vgB!1BHDVx#U8bsQ3D2b=7p73ZGLVhWzP|TXERX|1Vn><a9vR#j
zxxH6Okc}6=J!Dcp$RgV>j=e=s7Jl1RRkmJYAvZiywCI&A&a6rbDVdbTiSU~{W8GLN
z37L4g<g+YFYFsvkwaG!&YuUZx1uSr-l*n6z<-o}C>x(RxheOF>MVDJlxLlH(bTgBK
zZ<unyff5B6s)^kl2xnr_=u&k;q8wBneGuJ#SrMr|HhOh>OuQMop`Z6g4sOC%wIp~-
zaHvQWbf042WGB_Z!CoGM#`oURhly|;dUajx9s|_5Vpu(thm-T`#9&1gxQsHMoylRK
zQ!Dcb(@OzTEZZ%cHmTx3N??#vECZWP*UYufDd7DB@fh!GYKS*f4&!ZP;G?|9znn@%
z?ARc%?EWDV78#r}Np@hs&2R9AQLGYn^^{C?oAB$}*g)6Vih&6$O)FV@B1Q#QEs~g4
z$IQVM8Ig7jj0C2x%g|SbZ~Mi-{Wr<T7MFa}x}E{|D36>s>MF1+Wz6=+P#_siyZ<bj
zf$4zS3$tWZB<QlQ7qB$2SyjYN^9%#3Lp?{YtWbl;8-mPFzULke{Ck4a#ehxJXk>#1
z|Gh|ra_VZR$W^GYNRVX0`h)cHt|}7x4Za8Lh@qj8@?^l+hlv#}m!|jGtD}ujQ(;S|
z!>`di<wzY94=z8T9)72eLXU_zau*%0&plUcpt7J;m-i!X4;f1)UDWe~HPPZ*`+QwK
z3(O<szAcgzEVy&~x7s&N1b$gyH>}1+YEFPnaw!GU;d|=m{j|_vX?0Arf{hbrUjJ-n
zXu#(FErDaTT3FaH?6ud{7~w;Ud)75-U|-^iZ>xW5p?NrFYS*YS{@b{pGsmUkw?OPc
zA%Zp<k3O>;%`k!E;w&YfDk@@i`;Y4{(+0b>;ISvy6d&%{#_Frk;JI&J_Sv8oEbeq_
zPK=pCiI;1n7fZwAC#~$6R4v%AlJY;FYliWkADe9JXfRau966)F&xMQax~5!nxMZKo
zs`yI7DuXbqvHvt7Yvr69!}s|UFAi#b5}||r)AxvJ6P?eUt7mDE94!3Hs~nV~qpiDy
zJ~vE5&BW2JfGG~7Vz&MeSVYI3@s{YKZ&Xa%3F;MX<>J%z>bI7!X!w~)wB7!Z@A-<Y
zS`S;fXo<+{P~hjqgnv$qX(t6QU)@N*wiM7SY<qstfd&!b9hS5!WGoM{<kV;Yms0|B
z{tZ!4mK?Hc&0%$X8{XGEWCXOfJZ#;&jf!^nK%=Yx5)Rks^sYAn9JaQqn+$27Ig2u$
zm#qrZh6iB@4B#E{!O{oL8aVqoEYTuP8870-&hVFwQt=m!-Q^T)xqbCePqGr`FS6~f
zNC4MG2isJZP+;cw_>5_d0y--7=O4f2!c;g}B+QG9JC+U?tL5bJ_t#uj5I?^*Eb8QK
zx}uH}EAx_pVp&8+h^$mK<6@y+uw?ig2{zizl8-m@Ilt0SW9$V7>93Y%5AuCWeU~*U
z)Lt5lyrSf5+c_xEnw{L?q6Xe!+P>@n0?z-H&{O_r4uwO-M`QTDlwG-MP3#pZ`0<ho
z+m4ze=kX6><8x(1$q}22l%=p}y<4TclsP73np*GOBw})fmwZ5#BuMMW?pb7;;jGyE
zhmj>pNI{CoK$IjLlXMill+3^oJ<_$B&m*p^<1c+TNvuxk-eG&z6tTN<JY63s;J@82
zuhP~?;=uOwt$k!uK&w;N>6bj(<(qr9hDl=TqJi42G80ruci9wK%Hv##l#bUqNet&i
zPe!jWf&7m}8+VrSJvr&$d*`o`_*rNBF1OYgqyznTnpEYGa#y@$=Nc)jiq^lBWn+vS
zX)R6H3R#>>S2lHMlfr%Rr_nuqY-E(~OMB)i3;Oe~E-7mXNE7u|x)R2Qw-JjqCL@bS
zPlO2gPQd!{Ba8M6u;Jw&Tt^#`f$)T3;Q4dXIJP^tFt3n>zE;;fsV6e1Od9;D>nDSn
z&3B78fdzk`RXdD(WiWo+{qO-pS=1Q(`Ka)bi8^BcwEjmKgmoTC-6|u86+sIqTIo!r
z#<$fU6_>>>=AYm;A$b^#CWU-i#l(ivTLUBZvaq#G`I^5}0k3c5|95|u&*9o<M`!b7
zac`tN@w2ibZdN+Z6K^x{=j-h8t$$_V;H#5z4N9oi?e^Wemw`H|tk)AUa)_xZ5P2U%
zM1KGCHj*_1cDrtCyYTyq8K#4We~mIi+Je$M6#4uQzZ9{W-ybcp34HWfOci!+^QUL0
zjbIi}+<)9w0T!enyXhTj7_wiYZ}!RvV&eX3eZq>ceBWB*A4S6Wp-)k)M@Fc(cJJ<Z
zsfa<L6YEM0)$z*xhDpYKBjo*A**e>xge$g5$@8=7kd1sN^SjjuzuWG&JiJcCC4<w9
z=w>pynkYNe`i(HN`KQaFDrKl#YRtNKih^_V-%GAf89`R{_*wHd6&MqZ+tvqaAeAzE
zeuF9l?{Fye!Dm&t#y)VcXHnsP(t&%^g8{kS6Qxf@NN{AN%{wfi;d*)N!`1w}@ZX{$
znsR}J({HCwm-o`}^7{hm*a-$C$1}dfTC2lG<llSmY&zn}#%=L#Oti8Sk}XHnk-apk
zddOK5i^IHPgPWO{wsh3rkwOMnq2R!-Sxr>zY|j~6&4PF&(U@yMf#4&Sfl!(j4Al1T
zj(x&Hy{eb@&0Y%1rgkq`C$5c0=L0)MwzI+55c}iIb`7{zC&g<=X~TMH&Ndr4V>J7^
zv}X%aq3`4E5qw)4n%j}%+G>pL#2z8#3@Sn|EOB=4(}s7_tAze|6J$<3Fis)R@WR8&
zrmaUCZDO~tDVUpLoiDG}mhaUab6K_9&uhcjd3fFDKc+aGZGV9`M1!A_`OSa!+OYYd
zda0w@42e0h1(^nPe2rch71*YQ3DVgZ`ABnk?7G%{HJA<!d>kBB=JzA7NY<jN987i`
zNOV6!$4!a)DoqDXoMuM`iZpUiKC|kVYZ@IfuGSMe>*z>*^X_1^3m4b7e7*f^KOF(t
zA5N=U({MTdnWlax7mpRytxa9&7+OY|)lj8kalc>OaV218O$qgaC>`OB`duO)DOh;$
z-inVF!1UgBo1jV>LTx5zMoY-ZT*gW>@B!SL7df#xH0-4wKk?L09ixpl5}w-u9@Qwy
zvzm&+Db~`R6cP-2G@>)3fqGtkkB>SPRaKV+uMDa{PfdMb?>69lqt+s`{TdkeRv2gG
z65&1l%>20*5b<Y|{d_wG_Kl)z26ih#cg=zNA}$cmN=~>hO+gen>e-uQd2kCuKTQ(>
z!**s!ktg48VswN29?BwoNx`S@@3^3TG<bR_M;*tuitW74m4W3=u6uDjzu!@F4A*)=
zf`#Po4-sDo*jX${F_PvYz_(_{LRAu!H$G{2#rI@qg^S8HXE_kLOgs_MtqPN4@hde4
zB{6@s>7uj-2bR*Q)3(tn7`4?;Zy-xz%X;&o?<MBYGrP<wr7MHY2(1&OOTgkP*`%Fp
zj-sXw&T|t=*jby_zhaX(P6|oA7&>bPkGyho)?-B^-;K2*42U5*jJ#|upZ_jVlauxL
z`QDgx`uzJ+F<dv=a{XTxzurEFmnHDM{Tfd!k#$WB!uS5WS3xjEW`LKo{Hz@Qqc_Ru
zj*G#br>wCw-2^@_%qALGa_DrTDeUtX2W6qTO|Fy)(%M3zqfg4h_d!nG31JCbj&*T=
zmT8Q2+OBIBEt17ggFpZFzK}psa8suy(HMsLxBJCU$Y3DuXH;^CB!)~j7f+P1!TwVs
zK+)%OJK+s|(=SPUF4|iaXUK-WufXZ*PtwR-Y(QAW?^F7e){Rn|S%?t&-n^<>8iJeb
zClj0rIMv^K-_VN%bNx`Y6@}8^l}xpk5u~ACwe#}i6cY(SE6snOkp`!!g%!)6?*{4H
z$gNB!N*i<EtCdT`V&*~WlMWeh#m8ehjG5>^C-GhPnKbf~yJMf+lSTB6;C<;s4205u
z)9NH;AS1PA&Dn=?*g~CowIz#z&qH=CQNA)r%Sm1l{*IrYhvi}~Ix=v2wY0WKvkWeb
z*_y|RC}R4J(Yh`X26&(9Lspy0;+ROT*HSAbPz^pjaql+5-M;$K@fKNh9ZwltnNEbg
zaD`t(ff2?9bQTTx%VEguHc4PY8I?aPtn;FcFt^YA*k>7eR3yI0aoVhk6rY;uBW^~B
za*p5nzF!`0wVit|52)dGs*Au%QzM+c*FBz9p#Z(*_MH`XNVp;_bka%R2!-Ens?_Hy
zqUC6J$Ax5doci%^K1bIGT^D}j{y3$CePa%$;hV`2oZ8U%g2`WxkpH&Z=ZH{g+7|WI
zgn|eK$;E?CMo7v}%5c7`jBBlqaScQbejjjAI3~&n2b{~jAAV7R&7&Q~(*HD2wqkk9
z=29a>{1clQp{rrI|9Df~d%kCW^Wk}ZGQx?UUrSTiBv2bu3dNggNKgsu`^{$HLyzT5
z<$Ds=PRW{$71ANN{r!jLJO<+WW!>rN>RA7IQ)_LMCPIql*ZdJ>!q)lIhCLQ!WVt;Z
z4P$FzXg$81OJicVj~?-5ii}FnQueViEqE4wP4FkP(DLEku6-9MsLv>hTXReshg2Uq
zALG}X_N}!U@7y)8&CG98ho}y`qT1qzW7udp6MiCdUITKX$6G|V>);XJ5_$Z7_WT{K
z+1>&w7Ch3O-*{CA9#7K+Ud|e0fo!z*bwe5gytR}Pc{)%LN!9UdHNm6w@*ce!8YJHA
z@|P~tLA*<Q`rp&0@cO;>uB|>Dam)7zRr>1SHOF(o$8Ba{U%DVl=5srCQx45_L>tPs
zGR{+`=2%-xu~U3Ohwf3I$lVs&@FHZ~>s!RZw(r4J<4ZMhLB%%1B|;1I_O{<>;9yvJ
zUF&-_O|+{9#a)in#On6lR~7i4zp82DrXEF2bOt-BjXKkDqESD-YK{vb)>T3489GJ<
z(uW!)Xkf$6{jfRk%H^(8ay1<*k9^I4UaNsyW=GY=_&ncJ5qKeIGaXX-mA8Y}Q=s8l
zUe=chu%dZYI$vmbJM$#=@i%qY{VQ!3x(b9HdfJ)oOT*0b+&vN}NH}pd$+NTySgZfj
zt)hvFf)wF?0e@B8^;QpAbpuEh={<T)ii&5sAHx1VCW5Juy1BL(C^BApZVCUs&Yqg_
z2n<q0dduBCx<>%6wt9op2?}CQ>Jx+v<PmV;SHUZPV8Ng9bm6;XM8;){Y8lC*^jod0
z8VeZ7KJAb{rjBc=4bK{)q)|Aw;fsp^aCh)F*?_2y)jwQiOTJ2BMwuQLdy327$26hX
zk)K<_*-3&Wl34#=-6w5%E-D^u_WvNn_y4*T54Q1no~PHL`TZ0JaW+>Rk0z?X_3^|@
zdbAk)87t@REaTvR00030{|uLBAQfByhRMvluD$2Q9p<&yeNmA_5lUp0l95!Xj1-|H
zEe(`PM9VIO21=4qGD;Cih%Y0X@BTeM&aZQx=Y7=AF8+H-l)+6^|C?pXe3<P1=|?+Z
zj@am&C%#XmFxDo~G@#9k>JdHTs!21PaP6{7KO~8`>91~%7kTi}i{B@Gw;AXajEFzB
z5|GU7^Q&X<z<R_lsp_*So=V$<A2bq21nYI41RWk!u6dBOxX~1LdgSj<t;ApzG(kP)
z&4abJ=54ICCg^`%>G5x`C?2I!YqvJ=z)7JbV5flzO#W@n6umEkB=<Wmsh+&>?L6!d
zU1*Fgrv5)(tr5ZFL)Uc9D)NEnM;Pxr4P$tpz40eDLKxRFeSb#?@T1v#&xQ2IMi@Bd
zvQWq&41}l<925mWV6<%2q#Hr)ba2=GheXs3h4sF269l(~*wfEdhDhTYktzu!;;rp#
ziu85@I42~D?Y4&CWND9-u_EH<$5-*KB0{M4@DTUyF@WXM?igb&BK+HR(qHro!NAjs
z{avU5ZqGNB1?m!U>WoGCKn)Sp6tR<A_zWOBKj1^!M8r0p=zgDv!q^r6XS?Mieaxu+
zTpEoeB747-baH_R3<MvrOgQVqYtSWWM->rAzswcBt`Nnf>>jC77JXcJ6WSs}6vor{
zPfb#L#L&5IUDtGp9=0rI<<CV4BO*CMHke-m!OImc3L$#Pj{Upg)uJ#y?W%L?cantV
zf_-n1mL8f!)01|kiolocn7YRUDIlCGqB~DVGb!GyMo$#P(1m;*aT#3F9bPtUqGOj`
zwMx&pD8y|ueUj5<QS?c=E+Cf<<>SMh51xxb{Tzw3nJkaVM}4H|vvjoOD$vw#isSyo
zn~pPk6`=k{cfa9rIv(F|uratK0axu6uQS$)kh!6s8x&4Qy^NAfZiXa$cU_5JQB%Sd
z{#e<SXgc0CHkp%{?^BCNXq*yO#=EN6h|Y_2@b=Ve>;9C+*=nN(X-*Y*)Jz>4DWjuo
zA)O{bl0|+(>Xn)$6<jy&pHm;EV^Og<;?WT~7_}!yJ)9vSsp3Rx6h#k)dV{xeJLK_C
z+p|l1TovvY1;(nP^$>eCHa_jP0)~H`F5nta17+PN->e^cm=_ai==W5FH{r?|w^nt;
zX}H|X-Jy?E%YWida!N4I*sM@oM8-(X!Do^K`Y1W~l`7k>gk;yMG})6BEUsA*>WeYJ
zVrWnrB}W-gY$d$NW>jP^)cid}GenO`(Jb#C6>N-RUn|r@#pJ#iw|66k@E17$cvXRf
zL6fD0KQ1(U^lK7kJTt=UsZo!)PbB<#w9k4zp9b##Za+)7Xbj$QYnBJmsyLkbJnKs<
z4M!)hINu33fvx@V>bv4<aPVo7=Wd|Ep<!}l%-a;KS4y&cZmA(}YKS3ynuhmJQ#L4V
zHpA4t<@1q3>Nt4dO0>Qp4G~L7I%QxEzC~TlXZzKmLpf<}<3ol1o|+hT2@5FlI{w&p
zUmXjU=M1c4D9GUry?lDi0yRG!?FetxG22^tUSmHQM_a6fWu7qbca>v<C-a>3C^=#c
zRULmSI+}AefCLF+$tdPMu|JCK!``aGWMrfLqi}$db}8-bK6TtB`lm&1BH=@x)@y?z
zAorWG)Va0laPQDd?W|UY)(Ba`>nrd{WmIA3IW^Q@6ze-pRszjljNUQ}G!hphFaA@-
zY#nQ$$~6VtPjqp5#%2lE^$~&xZB?=FwNt~GiX0vh^U~^BERpu4p7`iA2@za_D?~`6
z=*nJJ&i??8jx1-}G8MFKk@FuoCjmO!R9JgEF#pLl)2~Yz-sANQPjN9U3kb6m7XZ|C
z0_#PmmGDvQ^1SyCVR-DQrQ;|t#5x_fo=*u;<^7`Le}%Bo>f>860I@q<7A~kLLipIm
zZ3!C)NV}7(_nZZ|K>e}F7z!wKPUf|!=Eu?PvK5*~85rua%9p8=L!~fBheHT2y0d@#
zw*Iz2UFH$OPYGH4ieX`lU0n;t##<{%E*3}{*%|Wiq%_0??>L2NbK_vUoS=4%IlPIT
zoX6Rv(D{}=cvFK5xy1^<Hj~V8^!wrP3)vEwO?Qh{O5nuDo$4o*Q_Qf`W8V|KT^y5M
zHVOh7oLK*CwZCM_6c?VJ-%ZyL!}Z{kHi|Nw2)iKA)9hgi$ByYLC3#WA*>tolZRCXi
zi;_gqw<dV(gyF54BB&1V9b`P=#JA!C7JjA|hz0e(!`y}OURt2*(t0iocf4GX&ND^{
z#cto+9U>Gpo17nTaiiTk#ywry7|mEuQs*LqWADbxMt`}n+2}&?%S%Qmi#RGkJuQT>
z^zW6uD{JApW#U7(pb<(hKlv*qF9iE&>m*4{UJToP3K2;&#EALK2!9&^+wHHJ>qhfI
zC+@U!j))<G%8bk9GYGh!W7#V|$`3V-=(kl_2FRE_EP6DGfIm;Ou7yVkLjJl+Ln_q(
za*KOoT@DjKW#|7-{Q?0`3%TBJtI@~#V}l#HP7*+O4OLPI7lP({_cL~``Uv((j#<bd
z;K9lrAql3Ja*Qb<B~yCHpZt2V{3`(!?yCnLhYG{x<&4~ybUkRUY%2SvE(Gz)EX|vV
zBG?^mKPLt~Z2Mp@p_?p(mwCU%$_quIg^7eW6LkE}<CZzIEQAvUtn(kn#E{xG%I?nO
zdDYgcb6p8UxTMTUyfl+QhRwTQ8+X&u&X-Z3q9lw{+CPtNzb%O_m1S2Y3LW3LUf3nJ
z3!^l2%RL)uX$)aCJ9bVN*&93sRj-Ob)2%H~;(-iG>(8AgwCW=L=6twDs3;QES)HV|
z%3=MrKO3$V=|ZI>uei}u48(IC{CS)T2)yxa{YaKBmO&Ac^A?BW+G?@92?fM^XGu(7
z(S^s)BW)%T5)d!@StB{1h)+YLisBo(*kp28Q|PWF)NAjZH0@IY$yw*T{v%zy{V5%_
zXFv*4j<=_O{ZxiRk>L3C54y;YpqbSg%0S-p!O6r)6_|<XU*%w-<Fd~f+3l7rq)X2w
zF0rYCsPeh~rWGBj&o=t8Ny<ZL8|i);lcVvhuIu8i(m|;I&3R#~0`9UlO%9ON;Zve6
zR=7&XChyL)m$Hg@*tqigy8#(z$!1<`QF^HPa8NgYLJ{Hz-M9;lDOmR44JPvI<2^y*
zOkBMZj_7Nw)YGUC`9vg1mFPn@^WhEoEM=sn?Ogb^mWG#?7w`228=zUy^Yr*36}+4I
zuXgJ@8fvflWL`Bhgok}+)A$Aw=C97i4Et-~>4oRFYGsXJx2$`iil~ZZKPT7tE)AUj
zR{BOz&=`w%Tq3T1R7H&GgruW{Ci*G%d-m{~z;cb4^2r1>w10abr>~%i$SY<VFGNg{
zIxQ{arlJliQA@#RR0Fi{hQA#Y%+Qrk={xg49mkHd#XJkw0I9^Q>O939Pvc&Y4@i*F
z(8bfU@g)r%X1!bq8W!*;&<~pXli??6oO1I$6^*+09ha3D@H@;Qc;q4(mmY7l@5`hh
zz|%JI@EV}-@UerlH^>M&nBn!-hz#SHbmuSrz@5EWJ8r~~F_GErxGi4|Ha%C#F3*A4
z7?~MMb23C^+q2irlkg^gwMm%O5+*qW!bqn&tXu0t!t_+o((Rb_mu?9qRhGHTE$XnE
zpY;~ptArapOS8wfS>o;lv3+}i8oJkUdk<wQpsjhG?zpcdM2z2R4-Km#{rGC-?w7Kt
zI^WYH=WU6LDUDV+1XYZ=<k%TTNFl`0`JC@&OEhd-tanr;p+ok7z`Fo(xY=vI-AA*;
zSee&&qoxX2KLmAMzAJ+3E&?v%s{m_w>8k-vWt>{?l_E|hLY#a<Z{Hh$7LabILsdeb
z^F*RP8vz%pe)QQV0&AwPqz$PlVum{VB*u*oW(^`C*O(q59qFglsw?2lk@ff0)~$tr
zx!cSB-we3kE}!`BBL~s;vdw2+bE1cz$1!yi14&KNQP!tr5EOUzs{cE7$gUaI%D-;`
zkuwEPhh9lR<*i96$({|`YF3iQY!(O$uA5sUEs2GKc<ZO8Yp`vq@=CvlITjcn5(m@7
z@lcB`-YkU``C-2o$IH!N+T~ZlsVatv9G1uNI;?Olc>KhVXokPT_SU*zL~y+EU$VCX
zE6gh0wsC}-B5GG|TSlQU%8dt3eR5#MdD-KHfL0SM$z}$!<}&wru3oBkDJ$xBr0-jy
zn_w@QtFXRO2nhv?Ng^B9Ak&=dghYlhD2{JjxW@@Fb^bc)&&3AS&%Li^IE=xXtCnA7
zL4eYiy<S!$Y#0l*mTEX`gnb8Z{0(My!i7=#NbetZEEk^bee%l?FJ{;zQ}zmAI^z5O
zFhNeptsQ&%ahD-t*;+~hAMiuxKUOFC&0J_KXRmZ*_JXi<&7o=qev~Mhj<?+7hIK-D
zqoun6idk1%w%79^es`m+k|Ym!^o=tczv*L>kR;9aDjz03EPr;$<AuAYrx(vYeQZf6
zDrvjSheKAZk43if<HT!KZQ4IQES2sEjDF4s2ddlp9C1N-IR6OuOx6R{IAlnIpC5WX
zp87U11Ze-eZ~9454_|~USDz*DgLt;Gw)=z-x?g;aYhg~2zaebjD@X!Nj(K)ozf45y
z`GaNG{OIT#35}~B6F|)L=%Xi<!l?UoN+*GzjyOl9q5D08kba_m&Usn{KU6XXXRCGb
z=<17^mIwm&3I*%eGy5-HEl=3*h%VZvcZ{rx3gK-rpSD$=I7Zu+jO_GuQF`|}jrLXu
zaYu`8EGS7L=lbBR^`Z_Uy!{f2Qi*sN9zDp$>;St?d-0`rI*8?$-@Ozd485V)5!>A|
zh@kBW(a+HVE%ar`Np}%!H!bT5r^>;xruA-9q7KS7hdi$I7Da%dg5)8lU&4z`E|rGs
z;P_0Ks7SOJ{^Xn~W3VftEp|nQHB1LD9v%}Jc_NPbfoQvC0VW5Qxd^?-bil&KIvGAM
zft&9ehl5DUs1ntEbMB%J%%xLryxss;K&ZbV1q-n|8&)@{px_tJLP(_!>VJkky4)%a
z38yx;-h(7)W_POonbJYJ;)9%Rp0WsiFRWjER~2$c-3Ftei}Fo|DvK*}NMoJbp3$v_
zsE_B}Q*Y~{Xe_0FZifN}l2_tx3X;(m@JlI5f)1^^ytqX(MZ8d{+rn;1!MO71=wYVE
zKMeEjU}1Jtlj;L2;eAwW^?n%VWv>U(Xv;T(V#;v0U0){=Lqm-S-K~O0AM&<J0VP~2
zD7i49A9-8@rY75iLi_dM8>n{T&zuUxQ$P8%x@lq{Ej+BU#Q>jA3UV0?k?=dnFT{*T
z3)%xsZet$}p}LS+9^0e}&iTF<CCOS?d#m@g>nO9kKixI7$x%b6!2#3cW-U0Yx;SbO
zO~AGBrRU>7CT~gKi#R@L;ls6Ctg+Un_}#-2k|RTgxnR*f;RG%0W>A7R95q8h(ia)&
zVlwjiTGhwKHL-#6*D(E|Ip`jf<PB;}PsE%}d%~lMQtkQI105Fl(a{s%A3=fWyDr)G
z9vZ%W?$8YW!@wi<1VUss1>YH2aU1qfG3xWwwfhKQQL@x?_a@WFU$!i`mXN`f?{2j?
z$joEUa4#IBz)!S^Om0)dokI%~J1i~1nP{*tNrHmEg$XzQy(hu7;y<UABuf~}*?CB(
zlfin7g;S_p8E$_ho4YD4;SjvkIXtG0<qw%b?HP&)YgOfV^Vt&RuMFzh71gmeHbBRa
zxi4Na-Zh@;wFFn=U6BAoHT-hwk69s0!<V{T5#MTwhsv+X5A{`HIj3sk5hKp@uybcq
zktGT(LZ6i=l2G`|ns+-%1ToECa;2v%A!ku!8OW-Fu`~_RW#&$NF#5Z$)|PqxeaF{R
zJxbVoCscTkBtQO2t!M=^JLtvE_tPj=#EFMRoI*KFUhN{?6D<c)gw$_2pHqNCo66z2
z5q6yYAX56-m+9qyF}ISw%VE~;ZbA1CRyb2*DiU~sRnqWkdxZ=%BCgixFRU=ww;1KR
z`7to58M)N<SPE*Td8G4Bi;S0NXEzZZS>RgEXwk`663A8RethoX9ODU}XddmKIj+O`
zMbWGn&UNm(eSYX4BatBzqX}~yQa4~%*dhv|!GYr+`(_v{dt2P~nLVQYk+h@Wy)d)a
z780FeW*9FJ7%KF|6zAOd(hmj`u{E^hx!JuLMwmqW_iY-c2o5%S&7vy=skV1JX^el2
z(=-1b`<^m^K`_NURFZ%vF_Q;L#<L7NuRyEgy~gN{3KZa3FMwaUk7o~_nq#os=k;qa
zHO4iAqNS@$Za+G-{B5t$0^?0wkkrnbM)=A4x5Gz`7laz3jB@uPBc^(xWIcxw8okbJ
zRQ|gb_RBkGOg=6%hJ#rwQbG+eE&ARlgV`<7Yt9!$EUYq)7N7s7(`SJ1Re4@HByJ=s
z9RE>IV#UUH{Tqz88Q|)5^8nj3To7Z+NDlB_gOox3_}usUsIxu2?t=^$_KLG=@|Cb*
z@ckC=6C3q$%gigTu7?x*eO3rM5*(-)NRDoMr-uYp+aT^&oG6%Dr3_r;#7U1!w)tE1
z5cc0d^1D_}%ry%!?x=8M=+UQMnJ;v3x8GYz<6wG@_^jEfWi4(FH~h8PPscS!Ra+x3
zE~t1v4A;KGi-$Hpn>MfLqG4I8W%4T*EUUV0Uqv$gGaBUOepMINo79|bVz^NguN>AI
zC5Q?h(X)5;brJcn_P&7iTBKI(-=Wb?!0p6!iTk^CV0~ioc_@_!iaJ*h+sq4r<U5(P
zd{PIO<JD&S40%E2_BrmQFO0i>JU1(Jb)Z=GZd5XW4}9I?S13s$`1L!rf$z6As9K6v
z5-<3Xmwi;$Z%P!O;`VQf%+<zjXP2uY7J}ICso!54DGuWJxh<ChwbAsvcCAGivj?kP
z7KSAyVJRb&!EdaMuEP9#hunoQHRpIWpi2r`4vSI6g4&Q-mWfE*PJ~d*;P<RD8DzLu
zWOnvxVP`>0+pb_?T%t{gWEL}f{rcvN<Y!ti4<u=Rzb*pC`jJK6eG15mi1X~euZ6ax
zQu%>zqG)Iwc_E*uh`C=8goCA8Ah^HJrkRUFoa(v8wp<Buk3_v}ziA<x>xa&^G6`_M
zQj2SwRt9ZT_klJMZA8xB+f-^Jg|5G`Mn^44xYE)7g?+O&rYBmSY?+pZ+|)>*-3?U)
z37y$=>$)~>bR=%5sFX$D_Hy5&OKM=FcK*J&qz$*Q$47>*%OmiLxR=>(GXC5DEUi64
z2jQfRcLm-u{hAzm<lcJ<-tJ9SH{sWXYoDRYj%Gy+_8hm1)1tx5!|hv0jV_YxLypcf
z`LigYwi5{&xOH78s62%Zo6LC4qvOihoGPR=S*Hmzqw|sVk$M<wdR0`yPJ&&0WQY5p
z7Vg`mxSu|$k9>c#u0}~!bj${%i3Mrnd2Z?MFZT^_xpzTbj;w~q@~#F(@3cYoxJ~l?
zZ3yy#*c?v{b^O{;emjLz2m5(sE-+vWkDliH*A&Qj^O^NcfV2)=-C~SZ^GrZH8TdYA
zi43bf)b<579S9hUb*4$0Awsp_r$Z$La`VU3>Yi)k)UjjfAt_8=71s?lI#V$y=(%5M
zoi-YiS>8?lv%rOl@%gD&R9Kn{DER7Yp|n=vR)`w2QzSNiZ(2jcnTD)z?nDjvzX`j)
zS_h~XO}xkwq~U?ZvjMv#Dvta+<Q(H@iLH*Gce?zdVybwsI^C9x?{@AN*j`&=d-!&8
zX)+bM6Cy8f_o#v<e}q&mV}<n07AL<s3bK2D8qYbY;FlRgM1H3gW;>5)d^2GBtEMZ@
zt3eSjJwx*UMq43}#8Yi(M~2GRZzC7e<WPEPA<Fc$6}+|hXI~kqBl%vpyx2!cT*+wK
z!XIvhl-HGn{IzO`tGSrH5+aJGDJe^nEmkNq(DXl6N5VRxMlSORA>58Pyu>YGg|OV)
z$@QTsIB=|}LU^1P87p@W3^Bb{Z&tapT2vWQ<!^`alLME820v0_EHNB(;oMY(BBHh(
zRr=J*0{(^ponK0p*g1uRWIqMSrHgrmZk%WAFMW3X-Ah2`%3iA=nj9X^*~jh7nq;&|
z4QGjX0>axlC@YVoK_3!!6&e^}BzKmYl9_uT)4MEeWs4-56FRMLY78*wGbxUK@(gHR
zx%0kIQXHBtYXfdZd|`A%8a0nQSzvp}p4!hmqF}2K3n}ye#Mo1PFw!pB92L`UTZc%(
zSo7d-s_V&ChP>m&v16~zaGCptr&XX3nww2(m4ZGn<Si~`s;)6(da*$AN2wrE`HSn*
zSy~xVTMlqOUT+HD`g!ZjK|Uld$4k9B)Xp%m+LpygH9^hIjw=Uzc~GfBNvWiNW*E(S
z#Q*wY3_p#?H~T5vh!Otmo;1_L==I!^oS|uqH&3>#(>7xEN&lJVLW@2|X~oMK>(fRc
z4@-|x6WI|Zl`U|<VSvH!F!<@^4?~P*y|AnyvZ3*dgU0o1LyZ14!d6q(h6u=wz^>1%
zsOqb$dPNvv_|BxFJl_Ce9aP1VW)_4mjQm&r_zz=!lJn^iVFMW5>&kQZy~=3yno1lh
z|BvDJsO(%A^Pe{FEvy(#U14xP&g~-SPBJbJ*K6p_=wWj@x1)c;GUG$bOa0_~(~Q8h
z;bDm&J#g^0CFV3NF*<BmHiVY{W9;G_7Z&(MN7|j!H4dAX7~dym&Z~WyV|>;a{KM`~
z$2wx8TdT+tqeLc(Tr9T85J)>xF*&S@C1v&u7s(|?VTK)lNzgLm{9^b(>j7Q3Et{Nq
z<F>@meC{K<qkombFWqdBwV;EadoRQ`G%qpyozu47H)BOEU-3@&WF3eG_-N!DU1qqy
z^5^KyTm!y`R;z+CI<R9EJ?iPc!pQp`Gbtp(4xys1+NNS{<XX%pT|ThN@F}Jlue-;A
z+KJwGx0$@{Kzw$+2McUV+HU7MbK%(L%;KHhT1e@8sD56C6+Mz+)H_OR(O1}3q^_U^
zF+y!<-z+PHkERcQ7Ujiagzz1%P))3()cZf5Sc3q$t)((L{3u^<BNp7KflJxj@`E|p
zA-0Lz_*A4IHrMA0{-$YQU7p=sya@-61?+QCpCiDZc;zxRg9f(k1D89~IMJUcWg6>1
zgdN`zZXQt@_QwBniRR(Pz-#-c>o0||_Knl_gbXT-tUoG#$X^Tk!JPA7oJFBso6g^+
zMa4V)vc0<w^5TswmsJUuIJ~PBopyetz<EenY{8EoM^g5vq<ohE{Y1)8M<NC9_dVa2
z6)y;dSU;QEUMc(%ET3mMGWYi&!ApOXfc|0mg(!Ae6xv0X{YRz1BD}}ML6ZmteFpmz
z7kTWe_)NW{KtZt9whu<<gfUI;Y})r*0U|?xMWVDRsGtTdB(D|4h@$c-Zwn=G-Oh`a
z^`ZdXA6hGO#NcfnAX%NSj8%;@;yHyBw2Wli5WOXkfAjvxPYMaFUsvp(kg0GWHNQ$S
zlfvu|^NYt{sN%H5i)4=$Dk6iLgK|t{K;6(&Bfn1_(Hvc_#(6Xp^wvggc9#Rkbg`Mf
z9Fx2A3S4SWHE;;s|JiR=K(gB>zZ<<&)N%HFqi|?J<*k*;+bBhx${J_*-eU6KP(0=0
zCT$dWpFK2Lp@h5d9ZN5{Yr)b%<Bp!O4(?Uu-gaA~f*+F#FPGx9Q9ffbe0{Sn23a^)
zFF27P^y&@&S{r5$D-66|PNw6*Pl6^TR~0*RxBt90tpkHLr>9%T^)UOVf9Axj8i@bK
z+h*c);n3IB_CC@8Y~1@D8W~LA$;z^g{M1DOo7etmk`WTbp1Mgfd#c!~n`@gm9e0Or
z{vQ8h3_FFAl<dn?yq;ur80Dv9|AR;23vW#^)1MhWl}f|6Hq~qDuXW+#XGZ%{V2*jS
z#_=={4R9TLZD~Z;MIdc7{zd`=$tOJ@L{4kqgs<+O7Ec|#R}1Hv$N{F0&^CN=&_udu
zLx1H4ZQO3T>CJiA5?;Rrdfx8QM8KTr=HH_lFp<(e*`aQQ3MrrY27OILbC-`F9;e`D
z>oCEy+6tdb>QoGBG!Sy#L0hX>4V=dVE{14WV}|YP@L^UBe0Wh*F6*X(;Z?CJ&IoI4
zF7!WA!A?W^x=R!K%L?edW?$xY!y0e9m-X^mnD3DiA1`}K8a1N9d#bKmBazkDtSFF-
zw%A;ry^*3&5<k^39chg}>mB#|45*=@$<}%Qq99^o>|XsfvxXGM%>!AMs$gU(`B9uW
zaVy*Bu;8c_*uTn}tfr|zsxk8LHo_7^JMW(V?IbJQI>xuo@rx4ZGP#ni!DEcNT{-FJ
zrL3^kD|?R`SrLbiOj#&qzhT&G)Jsd=vxJk_=jX@S<nccM009606qk26*MAqr?Y+KM
zviBZed;1(CA}cCFwuVBKD5SC@BeS%OBqDpHeBKSS>@;NNC$jgB$Mf&G&L8JG*L}|Y
zx|tl3&wOqDj*q2mnAFMWL-a7oR6#!v@LzqnY#;d-*Gv4NB~%WuEfYC?y@v}(#wn;w
zTbA&u+TN2k>HwS%#0vIzIe>@Alyky-4WDiJBy}bn16ipN&s9e@sC7=)s?6NLStazh
z)iU(p<7i=o;35lj`nDDd{@uhsolJeCQ>6>j9+V^JuP{PPbg1#e;4Pe2tZr=Prw+tQ
zn8aazw1A)Risrkvg;(-!?zmFxz_K1I!n-Je>5KG{W!f$L(Vaf$U>$An%xopbCXqpd
zri1#?lbblX)tKZ|uokc>sXusRy^n>IktXZ~Y~Ye})s8lAH9_zaZ*Z{qHnt?UM0z85
z9UouHwmeRy3Ex8o{DSVUVUwbhEkW1T@auVp>cUTHK#~E0(KUJr<7ZiD@4dc?e@jaY
z4SS^y_Dj@s(Ni;+=%gQqTEYr`it?$(GPOF0vguM^eLR8vE{GF-Q?-nH`#dsEJg)}H
z5eeL4tfLrx%2NTK%_aO&%-0UOPE{z#4%N>)^9{2)!OYO&u!R5kHJ~r0p$Zd$fz+je
zpRo_q7i#H;7x9c`>#T|b6-X}9O;)w2!wz@ToqiOth#NTMd0acJ0w}2Bvem~Jd?Y=4
zN6UN>x4VrNOp}!%iLd2W)ujf!_UY?VeT_x@+t_`7YI<c@zIWYUx~UcC33%+>WwMAT
zU;ljkUYrt4X;i%Ay4-_DyHHWh-dM!Hr|D<BqgR4EPLZO6yx;KeI?0XCdlqrkdNS{@
z6h)A(N>MKgAHW-D185}8m++w38y~8;6@k-vKTf-37{5Fdf3<UZ3I9EOR>1NF5grd}
znPX04c)9DFO6AgJTsTh7Lrt9sr-a%jd{2+#ae}|5bTe1*wn%}9`ZNWAlV<7qrzUVM
z1ClMt7pu6JwoSCxdwGx(lz3+DFp0D5y9OnVtl`tqKkDsQ<-ld^UgW1sfAL+Wcdr8s
zHt>)fCiPo#au9dxNASb68JtX2Qp=!s6Hhe%-rRXf7EUY)$7TJP!~Yol@flCq#;?rr
zChAtmKyPD)R-?coKKC+dtuAsGPiTKT^W~p3%=`1cr8&QZA3pC@RaCl%J18_KMp;S2
zPr<F!{MKdM%<2T=p}Qo=#qLn&^%qjm^F86S)R9%3<<iP^i6K%na<<XDg;EMMUnvJT
zj;-PD#~#=?*^;B{tI}Ip-jdK*z$~Mjvw`22w;UW<pg<h68o^TEB%mxzD1J6}3%_r8
z>y2s+6(W=evos%-famP!D9hs=e3lq|4=bWU8RcK)dOwH*ug+1$@ZbONf;H+x`rUMh
z!m{nbXCraAs9oc!r$B;w)aHZ7Wf{>5Pfe^<ml)i1u&#89Cq-hHZP(SBn9+*_i5x)>
zF(A2rx4wji9MSytQ9W%%K#D5MV)CS7Ao;GoGNOnA32A7TXO6I<<L4KA9~Fs0`j3Xc
z0avNe&7T=%mowN=|2D@^r>iJ<&pkJ`^`=2LrS58p1aYG98>?5Yh>5}%g}MnWnGPK)
zdt^=>#f20`M>LbSMZn-!J4&5qKz>0nXF@)5qty^v-}}Es;7xbS`QKs8C_DYzt2R|W
z<Z~4wTt-D8AtkvqP=bKgTh|83Mg)-OgI8JSHbmfAKlfq7a#mC*bk%FZRR~?%b^2B(
zBMQwyHqSmdvm=v^C@Q)|VU$YwI)n9&C^)<7(itmpA_B!l8jr`Kh&Sa^%KHAn{O5GU
zXXLn0RiA!${&{iq$YRd8x>yV>{7$9>+H#|Gijd6^Ye}^DCNs@HK^&U)pSJSm^P&Qu
z%?=eCX%r<`+rd#J0eLBbspf(L=%cSgzs&_%M3c2ruEZz>=gdX;ipK>}%ZK@K?j(71
zgU+V3u~8a)yQueKj|rn3M`20&Gep$-fLx@gMHXWFAClKMiJ+<=%cc%rMN}G{^-G7S
z0HWN^>6BJt=wI|<#=5IYNc`Bg)q{N^yoKMtI(~~I_3u+Rx;>Rq&S<r~>7#>theMWK
zHzbi`6Pu@_vI?5K`p!zkR|P0P6{hSnNu!rJ8V(wLDoEE^i}h%L8n_y7PDG^3pu!q=
z_Y5^vbb=T?tDma@rtZ6helj_fO?ci#Ypse3hd3NBuV}%gch`ULnaLx|3%jYiY^taa
ziM4l~(uLYLA6o~{C?HD>vqN?_RM3@(RL$e{7}R|9-S^-kqG2x<QK4JP$hf9N^a`0i
zj7e^|_&XAjaLlKNA0(BKQTkw%Fu?$vFa0`ebA^Z^Xmm?sZW587$u%td-$7mS=mqkF
zeNB|VWU&yHLsU;*y2dsdf|yw6dd?vtBKkC&1}#e>w~eyLeila1%RiGXWvYO5ghY4d
zGewcB)pHZq7e<g>b%*9ZCVAvNw4gt3B#5eR4o)BHFam4g03WM(S){tSdbso`7b4a5
z8Grb}2q=WJ^cOx$qsuY3W=G0c&`@CFf?J{yOvn)A-i%11V3A~2;%{=qTqaIqt6>CI
zANx6G`o+<nkfHu!>>{qISVq&>Y6#muul@S>RuqkzNe@PSYR2NOm(#|Y7=i?`^TB+M
zFbZsnNzIF1#+=w$WV0I#;F!&Io)1ZaNF$$_rn6@cdz{pg_(<9SXsbi1^7#3XGd@#(
zmp}pK!u5%RS^9AK8QjjaJd84Dtx7wuQA53sM6e&NJ{)Q5%dD^CK(xZq{}_5{!8l9v
zx6@64cWozGzPqy`Kby4p6?=O4sq5Tdx^&?CWj^m?o-(0!a_o1CHUo$s8#es2tOuu(
zMH~nAX;9^#`Ie|W2Drpgb+(8^58mqiSI|68j&{;jyZ=@)fB@|@do{N%5bm6$wTa)u
z-~9G8dK1S0<tLfay+H?@kLlEY)n3Pa#;-R8>o7p$z=Sx3zcwWBl314|&fyKUH2YJ-
z^ib%i#$Hma1)MU6d5l#@@$J>$Q=Q@TFl%<%A$>s;_Tn;Ii<#cz&-0}Wa-`{jgTt?C
zS6dSb+cF2sYuhlm@AOV;iVl>1*xG0$YryUp&#OyRqgeLD)l?Ro4yrTQ8LDU0LGmSU
z4HQpdyKYBb+E&rQLjP^A4GVQ}SJ2Q|#TGHMqyHL;KGT8!EqnWiHEM9$PI76ecLmcK
zIQejZnjX$OF2`Glseu5e<jE<%4UAlhFMZ3K9=Z?TIN$d`70#g!nlOcJ%xk+x=fyfb
ztS8Z#?X#)EEyIwJIre{;j!vSr<|_uEHSpP~OjQA$d$IIU1N)fkPnW2X1V(T&6~FhJ
zO9cd?VB*UWQc%06c@KZU1TATIQsVNI;qCE>aoY!E;QxF&itZ~j{O-5MtCW>NkC9`d
za+Vz8Idz?*pRmBd>ziAlZAx&T|JaeMMwC#=G_TEjkpT9E?zJ>tN>F?*!mBTz3QXmX
ziey-`g6yB+_5>;=c+#e@-b0`PF*Dh_16FL%6?Z$_qEr!Xr1{9}CegylcsKe#7ucam
z?-lbiCq;0x?$50iqzCr@{wTLT<pB8e;NmPn5o&y<{7@SMJdQS5f4s~I#8bi+uR9Mo
zVN&v3-909#CFKo_^WcI{Ix)$isYKXs@Ah9-X93V)sx4SK3{K6&W>PmIyvnVetJNgH
z8SU`e-8>#(yL)k(MuP}fzw+2uSg^uF+E0?+fqW34q9-15m<TMV^3qNOvcc$hpzyu(
z0&tf))YpTG2rl<duWpvJgT&6Ne{Z88WJ!)ikL@b}{^!589~7LhT9S88Z9oXJ_-Gq~
zsEJTR^LvWK?+_GyJu|aGDFQhsvquB?i7<bI`jNpB7n~V8H6^7l3Kh0Tt#2C>VKOZH
znP37p7|}FYSl$(b?4|HF_uE9^YNTwb#dv}HGu5#2h&Z&&iJ2^R6TxgkZa<fv9~fRa
zi}mP8!cYA<QWkYZu$CSh9GDk?kF=V0{7<DI>$z@zUbP~umpa9?t_Z@#F@?EB5*fJv
zf-BI^^5FjmxcEnI3Bg76E~6nwS%{ts^4TI&295-(bG1|=u<1EOFIp%E=O)$jT)ry9
z@xg)pA6%l4+u1W%F(?o6JjKVwKdL}%U%haJtQfSnwB*Br0#t6r2<;#6Z3FrFDH}a;
z7&1$DGw~+ENB?yBd+TbDx}S##rV`-e*Kc_d5ure@HBm-g1BjZn{+T9{(Eh!5U3rxV
ziIJagHYR9-ki(Mgj<OVx$)?O|kto8udnb(_ENOwJ_#(DUEe*UPwiFbjL}-P9M-k3C
z5Yn_b#_~=YloNSn!;*>MIWM|B*{%yBGhA^37BY}CN!1z1LWKIpP)VX32A7od9d8_P
z-@kJ?=4%Ihc|6+C^o8yLe!7X|1Ww67J^L~n6}=oZRvf0R?gtpG5WdhbBLnt&;jSO3
zWgx(-FUH(KAI6y@`!n9iz|<od@zEAZ_}u*dZCi^zT*z8_Bz#f^;w+0J=$yr&BvXUs
z8IJ)3vNAujJ(yD~^0t=$un44JH*Z9qFo3WBvHJ|IO92mgg0jXLA$a{QZtZG-0hC^`
zp<AVr0&kkt?){&9U{UgN`tdabP>8%Jv$7%qU~qNDSNkw9@Yb-4dKkcfzd7alCvh;l
z9adht!48k82)09729V}M`sLznF`%jS(B~B-fSO|-k%H6!a?7IfD~Y0@dVAd2CX5~e
z#Zyuj>+~USla;IWr!dqkkK8*_LJ0)5u)RSqeQ4Ydso1+C1m(k7N9#Y6fV4!I;9EL<
zSpT*tKcpxKxz~Q?v1e^zc6X!r1d0Gcr}gJ3zwyD}pF#2c>MK~~Mr5kAF@RC-_@ap?
z4~UO@c}`}`Vt$Qc;_~k?;QJ=VAk2OkvNcbTwU|y|fAqt81J?AQ>WolW>R(Ryq_#&M
zEjx<!edzDvm(hcz6!#9vNp^T#EY$I->nG;DzefGoLl^QThEFLnu>sbQ!uQzj8)kgu
zQQLn{b)bx(v%BU@fIUB&k_oqd>{sUa#k5gvuxI@*>sL85+??FmydUrldsAVdLnE#Y
zErn*2gKG>xk|@tY6#R)r^1QV6xvT~1s-gEwqv_zioqPE<>ky_`mg3xvYeGToyRA#E
zH1Jo{Kp7_;!!-Xhrj}yYgjcG(@4IhOfujZQ?`wnO*c3;$q`Qv>oN9N)+=nPY{a+z(
zCHW+_SNEjN<+C~zl<PF*29ZN^j|?mSxoJ#>ghGK_ULDk&L*`^n$>3AG+&pn-4zmT1
zWVv)T@ISt;(qTagGHzB}x`T_Dh!jQddlEJ1?iFTDyG;ULEN@hYb}VB%ihom{Usi=a
zhg_GY_xqUs5!txb?p3U@)9Tav|5PBgTejd&_a2tOYQ50>XB{isc4Z(xqXLFcr;FZ7
z?_s9T?y3n9wy+$@J4>g3Dgz%hZ)vpu!-|dz)H&GfVEa+0Xc|r{gY<>Z^-RV8FzU$v
zu(FbW*lGPd0fAv97&H%gTGsXt^ZhTtJ)DgM2z4Q$5oZtn(t6&OxyT;&r>acL-i;JK
zD$UDHFDrrr7iW5F^&Xb)?Uele0~y?1y?N6iLJ^vsTj=V;_py7<vvDO_6tGC%96NSM
z5$3*ZTu}fL=&f)6@ZmEhoORM!y<bLzcj;66UB5`cuZ{AT+I4F1+zlOxvmnB=0trUa
zR8j~VVqSJJriJ>S**kqh3a~XI%wT(#44T619=5B|gRURf(0eHbpr{^f&N)R6qdb4w
zH7yxokZiWtDqJ3X&*nR^dQpI^O3smjWM&w`t;6X?<iOTi$Ci*v3FcV%1%6Tj9IGvQ
z@x)XP>@qkrtbbDhMMJAui7hJxeqrtz#ARV(L`1gf1Pz4$$u}|lzy|res|&b+EY!H=
zoz9=7h0w&EC(2eFFx_iMeYH;pZoIko#pM+}xbHr_{&SZTPFXVbp1C3ev}<{%o@FqC
zho{q%gbps4ZF8{{5tV`3JKGt0rOfb9>fy_jkKB-c!;QOoQW^wZo}cC2VF8XJ$0Uj|
zUZ6Fy2((Aia9Jb4zgL45>>e(yHAo1+nYh^0@-k`I_{R6XGldOqP?e0Pd=Z3XiSCAu
z25IPvs<@a&%>fP$vtd*`!k~QH&rWti8oo;PRK#a<g0FC4wnn%J{K<S+*F=;7j*jbz
zvzA;?RN2*&x+w~Ej$L0F^JF0Z?PvEqVQ#ql^z4zQC~?r={T06mvf#lZGb4Y97vkDI
zeWFDrp*l9&<`eUQUx{19UX$gAafh4)*B&XbGWIl4;E;z$Q!$!fh=TBn{PeVUj0{xd
zw5@NQQaI4j@Rpr}5NMoh@1h1dSU4JC=H)|#8DXM}S&A?yJhvr(u`CarXLVc0Y!o5r
zaXHPgJ`w1ZSNVI)j0jSfnLm;^E5S7DJ}(cS7=-zpQ4eKMgp1-IYj%>9p}1bT@0zzb
zL^dXjUZ_(9t*U3|zfGxtzhBqe{b~uI8GdYsjwnHi$E|m(XVqZ3{mvn^ElDuF$){UX
ztOT6eWNYPA8X&7cgT=~9gI`E>+37JQ=oEMuO8Y?*s?1)Bg`3F0HeL0{#)G>WU-meD
zHdz}esFl|k^ku=NS(?i2u@dl7qOsR!b>Wf?v*!N6o@hAC=8O(2L1-6f6slw3Zak%x
zTr3B5Z6QbB99M)73i}y0Hvn?7(vL7O$ipQ><~?mngcPmgA1qDuf$NKBXRwSsIH-UB
zxkr$PBKpr1wLALIOijrxK_w524ZEXR$};fceI#94iUAC<XVvp$%Yn5j7yUe&BoK24
z{Ie(wfs^x>l;*4~@ZlegLVFJKIs1w4H*E|-I3~$TY)=Lrt0+7Xi5G%~q%-ftLJZ+a
z^^(!tcWJO=U)mpg!wbPOMRezG8G`9M$DY7DQc!EN74aK!!bQGDty(WbnAjjnc2Y|M
zg%+VL-<$xq3@Xm%Di}h>=jw{k0C9NRAwHTpLvx^$*eDn`05_A)sevz|@TI&ptuToM
zrUc36YoZKbnDAFDNl*m-V=oY9WM09(yU9H5Kk)JGpZ4ss*MwlxcG-z2F^pmB9ID@5
z>VsOak<8pn0jN90FEpX|25*}WP}Ek|2fL~jokvl;AokS6VD8!&{>qB$dD|O+my;Iu
zZn1|Uzx1fv2+b`1C85bP-2mY29w*21I!@p++|giaS;Akk$r}^1FmUQ}<%!~EhtiYA
z!@NgVag|BIQxD7ZAo0a#QK>Ql==e-5-ELmPMJP|lKkU+lhBBt(YO72zGcKmTdVL+2
zP%Gx`Uef`7Utdp+1v=Q!8a<tGe;sds9$yzAq62rgD{96qsKI(7?8dalI=&;6i(j?Z
zhN^X)`zPor4tV9RVO`=HKB=>9|2Rzx694Fq77LMrBbFiT^m-N7pyCS1{;mnJ37tYi
z2l++J#@FP1*$OUf6|~7JqzO+1;tKM^HZfG($}W_@jE@Y`WIn&F0n}|eu;RCh#r6#Z
ze#ltDFMCMvZ#Jm|cPvSf!SEtBa%rle@ctqm_qytCwV*n5i@N#K1kGS|31P<0dJDKw
z&jp|4TWYZ0cx~;;`UFP4+)^SKF^A847#JB&s6we{#T1F?7}kBX4yw0jaQEdy#AHiV
zu#X^97wP+nh5sdS&3`$Kvo}1qhPNsZaXAS4b+#9~kn|=g`u<=17thB{VR;pJyHnPj
z|E>j-lV3lZP&0)G@jo44$X5ntKZ^*i^L3c5u=2zl#}uwGv8wl-PZ@4Cb+~`9O~S6Q
z^fnunP2x5tXOFvND*=Ujcd$+GE8J!YlkAV2#3TGYqoa70;Putv2azj{IHkAz)t38{
zxOjdrk6ex-NMc9iamp5)mdnoY)Xz!$V^w*Xwv-~w{-qCou-}1OL}lDswwuC7C^t5<
zs)#_!>2MN`^x|<OC;MHP{^H3oMK|RQi7?gCH7nxLj}K?p9sa!g7ymjfzuNgy0S2EA
zWGtQgfn(2V3<gDJ@Vw|<U$;JaSQS0jwcz>-w;Ld1YKol2DZWu~E|JMY+54L+-VVdK
zSod78h0r`s8WWX!Mneuf4pYXjydK3jJq5;xcNXwxy+a#uS7hO7#rUqQ-fvtH<2G-h
zU&6_~{Z2Sl$p9Jm_6w<@aUB15O^#h>88^K_m)*E64JZ0p`Z@1U;KxN{>UdLD@P^7C
zHBXGC;lB0o1zz__oGrcNSR&&ZUUYtvcOmoO{=<|X`rG`)L+A~&BC6K$7u}V9FXkoT
z*mwTb%jakCaYE2WeB36!^7yt{lbIw;+Kc`xemRHVpovMXOy0)D1%7B-ypjNdVW`<Y
z<04MO(i)J^xr-YdvfVt!CIPt|t`a@&OSrX|+c}M+`*@5cq33(JIBb^~tUvp<j4wJ4
z&eoHXB3_q>5Y}Ze;K&S5rt(?Ei!2|%w2mM{#y0xeGTvff@#dBNAE|Xb;e7iSZ&?b&
zuQhwyZAugve6?<e5H|65q@z^JBvdF-go=;GM--&~&P2LPZsUeo6+WtzG-y18mnm*j
z1Pt$BDDTQH?!t0iazU34og{fE?;S4!)%vEijhlP8+(S)G(=rCs{AIVvMqC8)Y5zw3
z7$!l%ensy_-I$U3i*`NMc462}9f^tXBtsK=scs&!1T+#vC0iII4A$+>dgoavkit$_
zLt_Uk;{V{)Z$T73@SiE2^+`%J_|J_dIEx)6Q%~Nxy(R?L=9FK2nxjU;l_*~^nG=1v
z{j-s+O$Z|A82kFf>Ci2z8dOrpg*ar{-l>%c!8vbIk-wP-^BGoNdc(nkEYEb2CFdXH
zQfZ%kMq_3)Nlu}|Ud)FKD}s#8D}>+`<p_^H4*{JB@YChj6GTLb4NyJE-&Xp@{I<2M
z=(9p$u0XR8Dypk(X%!TPho*IUbJy7s<ZQ)P_==$JG?hiGcwtzQi9cHC#ffCzYF_fv
z5JTx<48p4dBJhPylQ0p=g&w!vikK6YK&DY6&7Bh>Fj6XX``LSLRHdkp(jzN{o-$|_
z%>O3}99B9dnyP%rc$W4LiLDGWSI(O}CN2&lS9Fpjeh8qK0q4J-N|r;sOvQRRl@bvB
zgH^5bgb*4oyPMBAq=3S&{gvhazity4dE@(p5s%{8V)jFds4Z!g|GxnlNUNjioc9t%
zA7lrp1GSXU&+Uv*ELI-qO6_9~f(hC=OUFR8QbzP$R@_JXh~USq5XM|BfmFI;qw-8u
z(1=!8)chkQ_*6Wa#Oo!6ED2P0vb?G&pVUn*@tF#62E1;jWtKtBC3smuttwjWUg(q_
zPy^QaaKB40WKsO4^fM<0HN=-JHQ}eP3HQSZ;Uq%xsPwfLn-9GjIxO?<4WUgNu3;w&
zq<j=mXIj9W>_Szfd18XC%vldS^llvW&?6!`Celx~gDR+W!=LAEAb_c23rpcMA}R^k
zZ;O7ej5-3Ls=r7ddMZ)^IldE7vpm<=89F6YGS3=%^SuFZY+kP08ziE^xYHZzJVaF5
zlydKFi6OlIYZp89nuw+?-0$-IkU_Xb|8do`MsU%!<jij?BGQc7QTJDnKu@Q26D=o<
zppM1+igdUF3NR&i*1IZ<xC>sDypcKrS7IvJsA=TUR9Er8V>LYJ*KL*}TeTxF+!z?d
zcvKc?2~!GW3bLWS61rtO!VzHE&wXiPC5=YErEq-jqC!3k&sYpU8iDmA_ish=lISY_
z`PR$N%eX{V@$vYRMzF6rn)GE|3>Ef!2p-z+z%&Im9!2&T0!MH8<KY?+RHe|YZpXEb
zg)F`nO2!N!KIcRNX{ZoV9Q#m1YfJ{AC@nj`zyQ?3*|xvu@FQ_{WeKdA8feFIZ;3G&
zKqOE5o$?TFl*>+T{;Go>P6?_qu3piH$s8}H<0+gdb;8Tp{s|N8r@f!Z9R;`{?R(c`
zniY8vhIm}HS>Vp6wAeaZfZW-eUP>IyDEHl}R&omqbji`_Ph?|I`FU@(=MN34b#)XH
zU?9M0hHC;8PxWB!Liz=D6LJ(2`P=Xz9|3O9k%$JD=>luSUd;=)T^vL?lok*AYfpQX
zhj;0K>?Qj~fAtmonz;)_&m;>3%U?VzvZD>JGR9OhwkGfe-pxvZdKNIT@{n{?(uT6V
zqJZ2#UvTzdr)tkQ7BE<_=o7oD1)lyckCK;KFu^q!E=?B}c)mj`mU)o7T}54*t-p?8
z-^?v23osVAM%y|x%%%xqMj!iWug_w=vbbK5Jj(&Egq%Bez#HFFm<TJhE0_eg-=A9t
zb*EwMt?5^F7~y}r&31MJyHYQe^i!V&Ub_r_^uW}iaq^wfX^$Q3=waUtT5lHkcztSD
zw_FXJ*o{h8Sog7=?ZB_fg)DH3u5c$!N)40~#ZI0#AcdRDWP8MaEO3!KlTEu&6>P)9
zU3<pKz}T2l^wk9dw1tg0a>}Vf<a?=x;Hwl+z|uvhGEV^IohRY~bt<qY;zyggO$k>O
z-TBSpS%K&ou;Og00+fsm4<<sWLAk1t+((}cO2~W%7e<w#;#^g2(LWlPI}=tYKwyXe
z0RRC1{|uLBIM#m@#v^-VZ`t!Po?*}DHcDtHn<7!tqB2qv*=bNwnuMZ7D3y4AWrZTr
z@RwailI+dj+w<aF=li|xbME`2pcfFf7^#D>o9sWTW4XY26<Q<n!g!ujq(CU@;8VYm
zdYK3h#&1jZ2ds!-IjX2Ap^1jCrln=&CA`SwJA9rhD+buU4=y@O!yz5A&&$1hXpp^e
zx7R})KdU8A7Msx!Rj;H@O6SLjJI@!<VhL0xL`w=W(co0+TD=@6fO*cLoo;GU;1j!j
zGw34~m-`-QjK>JVbDL0}P?<C+_r!Z+vZ=U~;q~Qost^vF-Li>0D1$@R0bH`NRNS0D
z**RArjBwkvFPo+1pez0OH93fiM<Q;9*SkefxO>(yT2LMqdSd?=`>9Z<xfHfbNesoN
z?{9jDD!@l9ac1fW6=^p+CPX8|(Qdi-++|fo=>Mlh5?bva*cmdpWl#cpHo2=!S}Q>>
z{PRdqJ{7m6N(&4Eq!3-0VDbKtGSqDE?K;&>h3=uW<*a3CI67>imEBT-NMG_m9*KtN
zcNI-P9>_pmx2*SVvnn35Qzech(U4?2<MfFthq&69rz`C0IQn(IRdbn!XGc3j=fvc3
zoj0_mz?cNnMiI!I)4@c?n^+cB1r)vTO%U<Zz?{?LIel$igjtUni_R!u<t<h3#A!{)
z$}8Vv9oEIBtN_mDVMWaAc)O9$Xu&}6)$#L$9$v`yC~odnLU;(1U-fQn+`B1QEcR3%
zPb^2*@;56(Vc_J1o&*`61a;Vjiwq!D9rRf8wF=yRy$Q3wOU7r9I^Cf<LmcarVE&t~
zia+<iny>#&M#5$$-mWnt<gtC$d$>mp=AX1pAC8fcJX~Wcq-=sqpC*s!iL1jd!$mrw
zfQ%ZS!#Cr1nPOjWPfAdcI%*Vd)n1Y%BWw4xw#`*D+}k-%4$~xozG1jK9@_ZP9xwjt
ztvRG5XWsTlldx|2&c}1YT96AhT))^sN6aHJHPr$V&VfbDHcJE9Va6iGLBMs_+U-xC
zk&wK5V@TJiI`+pYipKN;pR}JkQ4&db#A>O&mq!idk!Le5Sy<r4&=r$<8VL>|8ez(;
zDtIe4SX!NIfrpjXW>!|`%=}pXHET!_rgf!n7a6PdvGa3Jxz({Tnaw<+P9A?LM=h5-
zEbwdnlYm~Rp?2*3zW?^g;=^8v9bx?zNTANMrn#!3^gjni{eCIbzg~Rz^*;+39r#zb
z&shb1E!s*wPsA|J{nJ&Z+yb_y@(x>}jFX49_1A0=M)k$ctxqpmpsRbk&lVXa2%oxp
zIm=i8Iyc{|3OZZB^1H(W?I{Haeh)PmP~gRd#m#G5`7A)OTpQ?6FORdyOSkW)abTaw
z$#(a5!1BI0tH^tD@Xw#T5?srIQNgUTk4FHBpT9GU*2=>4(;Z&TCrsGi`6GaTb?sw*
z-=f|6CJhe1E>-cMWjagoa#27y9el!75u_SP93D)6^Zw~Poq2a}Fv~l0wAMQB4*x8U
z@v-dEI}<bXd5&M5lbq&o6;BO5%q)f@MV?(-rKjm4(bf~yJIrvG_@>q7Bm$9;wXz2}
zrs&JMqPe$kn}VrQ&?dJ*2%Jw|Y}$BZlK$LI&%$BY1ob|AXXo|_!aa>%6;e7$Z{8I^
zJ7#JEZR&sdzA6G(YOvhRVLL_N%vyBFKh+qzL6N5xIQa3aEsa0HWSU+(^`BMHZzC+Z
zPwrxsT8F+yjrmWJGxQVN&lANqMtH93bB$>)4_ueRQo32^=vv#yN^J5Cam8mc>G>Zn
zY$3IiV{7K=PxI~!=<^vO_JO|A$ETdQH*Q!Z@M@9%u`;zVF5CcTt<1EhA8_Eqmm9An
zzc16rlij`b2K8~viWEE7%8u~;m7fJt*5K~epwf+=`mnH{$#0~wgNJ0?Us%h8#9L*R
zWi5IT{m2{mu!0Rv6w*tE;9B_4uG7!hs)yz6l9xF{*}(ERthV?l3j*(6i5O_qg>2k5
z?w2lX@D4fSeEt_J%q8zVDR$IFNo;xk7cVvhJKL!<0@?A#pVybaLkEjWKB?c&vtg0y
z>7XXa2?ig_b<u-5$a>~1aIuRGvRej^EH<wChLhd({v{fe4}GUey09blP>Ec59uLgL
z_VVPX(ZJ&Q%YJ&49q0bkc52^ShvYt9%@i697YoP@e;;!othIGe)tesydQW89TB%sv
zH0mXHffN6c-UX{h3BV-PJ>_Er73=tvVkc9$5aFk2`S!UW{51=ss!3Gr+9-2k{VQ(l
z8JZn>$|MXIxl`NJyC^80Xg!+B#*3d7|9Fe`ih!!B$r*fu0_JYViP)3t@bZGfuJe7O
z2xK^q>+PZ->XH96m75=G(Xo4{R(-&Fn01So8U@Xf3i&@r__6X}GWvp!B*gbyWW1Om
zBc;5<$+%wtwSy|sA33C<a)V)0Q$z-j)$P+VQ-TmlkMbE^S`UT{ReVnj8R0ME^rNJN
z;rhJv^)RO#YRBtTzaAu`K#S*xjfV&#&An5?l;vTnbFS_65i&adO<C9#i9&d*2J@Ni
z3J@MG%$d1JM*O@)i=mP@o|&FDi@2Z&(v2r;E1SsBcvd2Ou}}g=#@}1_d{@Gjfn45g
zk`$Oo$18-oN}+N`!NEw13Z~*m)N*%I@X`6=jUw^&NE+?9u;q#>c;cI#+uu+?(J3AZ
zpOC>DebS`+k{SX9dGyC9RIELt!KQv(4w^y{C;1PMQ26?=a$5xzHU8oi$HU~&B}{nV
z`mBLdS36rg_OJSTPiyzTSOv7~Oki%HX@N`p-?u;7I_O|MBe*j|5nI-QZzWP2Ie{!Q
zu|m3NX{cIX{Y(iCT)i($o|3_Iq^sUrR1bLL_$sPi8D5hv@AEt;AlwH0-s!LURA@V=
ze3uGr=MULSRZ)<nz@7H`m;u&}72XN|t%@Hm!$zBUsc5+#rS+@E5FeA4D~tNo;J1C^
zvC-;#zVNFFS!)}^Fy#4}z>n%Et5>Lcph|`63$ttFdnOoZxTeK%orKrP8;?bfQqXWU
zGWv+58P3FKyS33Z(C_K0>K8|Wbjh{jr!SZz<e&70><SH3F~@}MY$4;ftK~tCF*+=N
z+~l2Dr-{u6l%IPVYh!fdacsH`<R8gfIH#$Jd(RgKV>fG}qt|Jj7{vm2whq287uLj~
z!Iwds#YlM3^Ems_V+(Mp)W;RpXrOC-QuxqgRTK}lJgnifgc!>~?{F&()OCesj>{`!
z(eZ7}L03y~W?fYfy-32o%4fD^$qJwze`Gg*))GhaL-kD_slzKn?&+>2S;+9+;8MC`
ziS;a-l9;m85TRBmR3{+?Pvt$f<w>h`E>E+_P*n)2+}uY#CknceMc#=3OPm2^(m_WB
zouAfN(fkCVGgGRZu4jn^z7(2Xml9^*Xqa^z;KkK&()KH37I@dwwU8OD2%%c3;|d(?
zSWJE+*`H~Fn|HG|gvl#lM3zDAyUPTNQ;O{GH(H=^K#kH|C5Ppsr~cG!o2NfF4bK+p
z2SyW1PnY$`ATLHmw_^PS-QE1hJS`gdBY%JSp`$d+L)HzPTKrAl=F$F3N)kA*t|D&n
zmjv9OE13(#^wQ;7LQ@|5(V=%o#3JOj7<hJzt>^pkoo;CE*v6l34khJDN6XV9xcI#4
zlr-ZL-Au>s22Z^iz!sN7P7p$Qyw=@d=J#~%`@Ub^F_~d^gl%F^nE?DgY)Eb7uA)yu
z-(l3u6q{yT?0Kd5ap<<UnOI^K-BH9Xea#sYydUmq@U-E@?%p?3m(RbaN8X%E)2cSc
zvOH(TzC14YcDTwWIyKP)i;_Rb^Bd!;Yn{HUGY4+R9w@PtZKdb(vSh6FF~UN5&}f4#
z8!|q-o<HT+M%N3^C{2E0h(?ve?`5J{Q2TGt)x@TY{%q6w=w*IG=!kZ5U!7*gX7-bg
z37>lD8)q-48w433ES~jGWG)lF9!n@^(&(q#mOd91Y}Lm#3E3;VlGd#H<BubW`9t(P
zyuN$DR39_Uy4~$2EA+|gop+r#j?kM&M5E;L_28_>ym+EwiT>`(*?FHc|LEQwO*=&;
z^-x-uxNYZ^MS6y(YPoN~I6bY15ly?K3mZR~D?B9&^rE}*_U3yg>DH&eGI?|8f_!3&
z*JsHEy0rq|gI@=y>A#vK-zCNAU~Hb}R>iw{x}&YZ?sZACbhU!f=o~g36dX@`ap%E2
z{rIv)5P$hR{o`@dk(^{2I<C=Tm{<Myt;CdKGxrjm^ikw(tS}85^Iuj`r55NtJ4B_5
z!&m4zlr@}|SyW7qpC47pU7#DWm6cYrG9mazcz73;3VVO)lEgiWblUL3<t@I<kh16+
z_N$>FvH41I_Kqbw^BZQ~jo;Ve%1Y%*mlp+wjZ?XPA<OiZ_0rp3`m<s_C*(ujG#Nvq
zhh!ZaR_H;8Sd)5%*`cZM_@#{D>OHq&iLZIM23sn0oQ?W8aQd&z3-+_xkZznk+H;Nx
zC&Jb_1bpSffy7Go-c~If8(>&UCNM*M`bUu4I1g097jhJ+TF`oVXXCfbwHQ78UzUmq
zA9_Qn#va!+@q@>9y0VQ0r4>I;r~k)~-OfkbjW{&HfB8&Nlg_Gs9;qBZO%p`=#m30%
zu^K4cv8b>4j2-E3)g<yB2*KS}!zr9s11j@dkJ&qMLe8%8Y?7%6Y&fp)3gwXSY2$H^
zAF|vCWA+u!oDhYe$1COUwj^{txolV?%8P;CiRpkQaa_ETry8|}gsL+q-^rWuA^pVZ
zH%={**bvP>Bv7vo^4^o_*XsCToE+D6f0dsUrI*hC%~OY?+A*;lK0(O8{uJxuBD<=4
zgM}Y=)nVYs;og5#2$#4d9nX)*;kJ9QsmN+BmlSDpVHp>OY17Guu8j)VYN7beu1_7y
zu6#v_siMf*@~&N{R1stSeqT!rNcd$cyXM1oamaI)=FFHWW81fpivlGiSbrWX`nKx#
z#g>x$n%Yzl^nv+g_AU*$JhzCkFq8(*BCCc+q8euG12YwkHF3<tXaBO745D|l%Z_d!
zVZ&DT^|{-$P}yB>k?tr5w;{$GCtgkDaLTy*<!B@3x*6wz1bNI5yKF<hX(1%uoYh>G
zf(q^6Z4Pw`;8FEZlf6ksTQE0Uxd0W1*tXoS7gd7MS=U#-_bGU$SonHCg9iW9^%c8U
z`E#Rfb~OU22s?1iiZ@UPvVLYGk<}{5aktZ4C%3u}+B*YO+jYTxF(cheS`8N$>}F~U
zXqfq+cF6CDKIG?Z(^mr2;lwKB`%_p47cyOzi<AuUFY-Z^@qH3PYh8c+-JpY%rWHHi
z86%i{-{Uk@tAX@<n|2ptomKr7dQAN=LH>n;?32}+urYg~<u^>j>y{^S<T^93Se;H=
zx~hdK4Z~hN=hb@jWzCc)babdRRhnpN<IldQp;=*6^tgEFiIxMWd!*`g<F%1FxV*8_
zg@UY}wP8nBdB<44-?KYI8*(zqzNBd_th5)D?AvIGDzR6=b$;5YPhnc<?;+vZe^I>O
z+buD0C2?m+zZSIXt>ZN=sbWXu?ZB({R@f0#uN5n=g)ObtRBKr!MCZ;K7hSP}NX5F}
zF;bdH3R7pI70bb3=?VAk5-aS~9chdBvC4ybMln&%l87*S(Dtp+3O|oVR@)v?$F?lq
zf$N3BFsFUWjXiG#9gp9cU)ojidQHCz_ttf&t=iD@VY3xRwr_{~Y7RSF_=ws4Dho2F
ztbA=|EYZJ4#iAfo34Iw;wVTe(($^&H);XSPiJm_TMIT-&fbT(5j8xDsx{g@+kdvGx
z^tU$T_^rqR-QwIo8Mhg+yF62j^DMA0y+QF{whVZNvpQ~^?PaW_YI)t$w1A+fz~!j}
zQZUHb#pB#N%20@$-f3D0Q0-3s8{Z|4q>{*v^<O3#-4$mVmULI!KIx!YoE5<=-;(oI
z<5`AT>dJ>xC+O(W?5Xf?7ewFt0oJDd^NgVtlkJaI^N)4mSl09bet1l@zCW3@z-T(g
zwLjva8S-r9+Z%j%@YMiMK(N2^fcKL0B4aG(-9MKmQ>5y}?dWvn089L^MFICBqd>7*
z$$HTQ2NX=7y)I_KNq>{s*|Y^l{*qQUKh*?6(mpfUflO!(^kuMg%rowL?0dfVurZn|
z1{UTym*}2+!;NVRbBz7lJoVcPjqpWJ>Eiab8Tvss2Z`TobBs_Gmh80)hLCm9KXuo9
zg8p9V^zAghSw_pLbHs6bL)bX#T8Fv(rO&-f$l0PW!>IZAny)s?0L(@1&H3^J^l-)R
z+IKfiGu%chIqog#<G_Bd7rQFE>Gbo9a~G4Q7)#xX-9=vd*cTFUO5N%!-FsKyF~#4L
zj7{w<zR#-kVE%lM<HV)+bdxFL`L@H847P!#ZC+$O_<hodip3+ksY_irr`ROp)OpUM
zXYc6Zx>}9fLGdESS$A1~-GK>)r%Y`2h=48}A|F0d-d@W%b}#+-=B^2bg;)7dNRke2
zkxwb`D6}v(P4`R>txPZ)UOh{jX3@dX>W{)Qg5MbiFQQq)Z6_Im&n{lw7E8n9nLMVr
zv<}9tT(z-XZzdUQeeyf}*l9TC-{Pg`+rzlgIlvHfpJGUIJYtc#NQH3cKNa`RK8EiJ
z^0c|!G$So><H%ldDoR40Y*4W2XWW+E(^D@v!(i2OxI<dKPa7k=`JO%)WSmhh-aAU2
zWwbBq({>q9Ao<0n)1Pyg@m3;@WOZha5!~5W(|3)GuM^s{njs?$!Q0{;)r<2CZMH^#
zqE;L7_EOw|6Qhjh>eDj6A1^YpN8aw<xU7W-mt(JyHjXhoLf7BCb9tFDWcBXuaT6^R
zr`o(6$sT9?ND18f$ZZWF#wGJ>>lsb7>s~rFD>}(Av6j<Mif1B<{?)P$)oI{I!9<W<
z_7tN*xT8Vm3o}ukMT+o}(m?OWql>efXBe;ZWp7#Aun^wQ;vCzKlW@>q?Y^n_9E1Ox
zE?-_3D{<&_XT+7y>bP`gZ0I!S0>k`$qDNL1J7M&p>~5Q}Izs<8B={&VF$UH6Wg1gB
ziDP@VMyz|N1|PR4cCA4xjE8C$_NqVQCX7REW}nKdq4I0JNb>9&!tlOeE-(8!!lS`q
z!sVVSjPcr`*O{4M%{+GLhCM&w@ga9@t)?pYS=EM)eqKu)(PEqSEEXX4X4{z$zg5B3
z4L2o^2eT5BCthrgF%u$K4y#f6_Nc%&(w^Dfl$~&IsptClN0>O$`dgD*Kn3~sfz8d@
zoW%JPpZqhcM2WWvZo=%1%6P4y(_6ibo9Md8oRw26PNchi%xS!-j9V&l1CH6e#KXv0
zU7k5f;%Vbnud)bb=ye~y_EVIfSRR(!*WkIHVB4_r{n~M5s4eYqt`8R=ZYRzZq>sxI
z1;0<56~-t-_Pkhp#-bpR67r<%ySF@1-D7UvSEvlyZR%uVmN3DbYUc0Kt3a^&`$rV5
zD5LM*nWx1EL<w2h)&S0EC1UG{z#WGW70e1vWiPpl6V3x}mrt9h5K5f|ryh!_LU_$L
zpV1&m!lj6jZ^^Glyc_Sy^&e4%+Ryz)35C+c->;1Nn~Um%47ap&$13j@-H_8>7MCS1
zco<sCFKQ6OZH0lu4kQ>%5EYD8Ibuq3?<-dhZG!dO_rHw48elssW;sMwAnY!gddu@r
z2-f`<X@Ol@$o*hrxOh{Mc)P7mW`&PRxcM7pkVPn987dy?7EvZrJo`)yIcUVrR)>H$
z2dH4|;`l?&P$8Pk*p}0WX@vTRyUcv!G`Mv}wDHKP5jta}Pp$<z#D<#US5pslad^Lk
z<oG>xV%L#RJI>hX65+qkaX!7QznY_VYca$%2=AzrOQ#;_5`~AGYfZBa;o~ENPobK`
zp}410;+49DMo+HaNQ*Htw^)rhJ<}p8+gnnqF6j~h`_^8O7dAtzK*Y_iGHt@&dZ}TV
zRhK9j>7KmlOvk<z`z_k%$b^rC+Q@qa9YUPd@o>>wfXwlVafyRMY*^l!TscT3?CwX#
zs#ICPBV1PUha!b|nW83JxSK-wF9si(dSD6KA-NhZVG6+~X?5IyrbVRvvfsJK&kB35
z8#c%lk_kJm`6*jFb)p`6WVs0|TpJtl>g&-aXusz}`1O>Dp^={gvkulMKWV}iP^m?z
zGG0yIl94BL^CP1dPg`ToB-~EdOOwbqahkRBk|h2-{_@IlwJtN%am=fNM6?}heJso;
zL~M$w95HgT#w4rTo1`%{B5`}w$L&iTM6`-~UIV8!1kN|rHnFM_yrmmzSQHi*2WdO6
zhU8j7TB`d&6NfV4_F{k2$vs_+Eq%o^G1^v$J>L*I&ZbCorls@we(R#IQOdj!^T-k$
zffpl3x#Wp|VkJ{+6DR4KdiJz`@|KuM=dY18ks)$A8=3eGmgz=3(rYBrEuiUeAXqb5
zl31r_;&iQq8BEjnziDt=pf-){*~=$JeEmXfzGcM<uCxkv_ZUFvActRGlMvBl8Z%Zo
z&j#+BAu~*C0JBo%J1mX-#OC|E(8SJxNWSI#mbG-eR{Y1%7v~`+53uzuUgiM*cbV~W
zL36yk6t%`nkeztCJKgAI1qWWteRZtUGy|i<x=l5nnRusupZWa*4oqLwm`U4iio|w*
zewY6i86UJZbk^+UK+FY^lnYTNP)ptrNjfvdFuQpB5`&uqmhx6l*1R&t_-n<@EiEIA
z(|PyCKIgGxUW<F$c-{zJyD8gKczYQGM{uNT6FWL(HaA_eGD0g)K;O7>BO^nm{SnU;
z8~*kmNb<RA2=Q-9>0;ea=$XM2c^)NfU~Cy{Qu<?n=@Q+tXV+Wl!GDdc`OmY#NOJy>
zkDUQdcBn|Y^!3oI`My=jM6n@l{w#m-Q+?!z8L9mDZjdg&GEozJg$>O`>36Ed^|9GA
z-M55el+L3vWMlQ74T$R&bxG7iZB((;=KbUJTDPJ*`f}{B3`(yeuLdT$OI4Xdl2h~#
z@yEn-Z?WUdk~qIcm@b4^o^OuJouOy^Qm-p9=fIxQ7)Q-%9n|?>v`H43rw=XajfJyw
zVt26fvcgFnya@d9*f@BR&a*RFg>RM<$HaYjIoIl-`E2gr-}TFM+oTkFo&Yz@PJQ{-
zn?i%co?0Q*)HRU)Dbkqf%!5;nGzvqJ1}(*k3hTE_sN$4rh_B{__4;eyO3SD)*jjq*
z{v0!yUG@yf`|_bQ)5db#jfw~9zdI()Sl}_N`_tq)KT=rjo@6diaQVfpj^b2SkP@Zu
z_g@o${korVYjY@gnjbu2KfC&mA;sP;&jev{B3J3)4hjs8xkd?wtm=lx&U@#85Nzg0
zJB-*VIIpyj?7+>1J@5Fk=Zr+q+4#HVLmU}zI$6KjRB(e!Ct8Z~NEDlnE?|k9jLq-F
z2lP^T(Ofl1x?n1fV`t}NobPGlPU@LFrvyIexgQ{|k4j+Ik-=<lJ8ftLXbS&n=7&;P
z#>T2@DJYomZ~e`>$_aIx`z9w>=RR*A>O`yuPlcET&nj;v6}#nZ))s=3_r5vnZdsJe
z51!B>wD8B;z3ku_VQlsxy9f%&LyO-Lyj5EG{jf6P(U1s67Y<}jZc@NdbGAh7uT_4C
z%C#{*B8Eu%_j5Z_74a!Ud9qba8(;OUeL2=iK<v1dw)3zODx{1Rc~iA9b7I@U!a7N)
zkM&<SaaO@1$77)z3S@AZmYR8FN#o${XZNpsP=$k_m(frU8S`ujoY$|);BcmB+4n8#
zczLu~yf%P>d*uaXGTY@aC^UC-b1Mn|t(ErVUZ$Xo$Foe_PaXqAp22%}O{6dN&HO5$
zLjDa8_nl}3uw^YtUHz(sgAx1q$k8->(yTZg@IVo=0;ER{7G(TY%?&d>u7g*1sdm9F
zN@&?;MT@YZpe3Z@c4oXTlGh#j)3dA$W;->_*ft8{L_b7!zt+R~!OzN*s;Y?D;+#3M
zjf&lt)!&rY8K5*Ovygj}8YC>4zGr4r@n?85%XEYx7SzozymnJZZCS6>(~nem)9sJW
zF&U$P_mlUZ9VEnE-|5^|ONEEncbVQa6L>v{Yg8p`VCh5Dvhf8fjA!qXqR3`YQX60!
z`lW$qGbPTyB&m3;5*^52Wsa-0#0`NUO{BfB{23BN0hhWH?=M9_GXJOD-datV4(0TZ
z%8`*UTM@D28^C7Y%ELaO3H_Qazn9i%p(LyL%Dqqvtlv5GUw?xpLNh~3T2e{yNV2>%
zy=Z|*9@h{2A)1iZjk3QssEYabZ{zd!Sz>3&phR<@2JE%2o+hnVhTWIX9#@}P!sr0K
z?EY%5<YQ}nEVHVgGj7MVbvrB}`AMpuRe=QZ%^N2}nPj1~sdvwX-<I%;7!jLT%_C;M
z_jxj2NT6iY%Vu(wXEUsX3SvuDSGngE_h^$ac;zME7MECpzkbro(^Ul(MF#HM{P?l{
z{s-Uu6P9QlA8nKCSHh;~QBPxLPPF**C;ZZ|#Qy*Q0RR6Cmxn)=eH6y+P4?b<JjP@1
z`&c0*MP^pYh!@EoAxVYIGAdaq$|#cN{ZmG=B3U6sq2#ew@%9g#&pGFFopXIJ&nr^p
zya5tG_HH-&q&)@v=fE}Z+;0SqS_zIHNMf+uNzTWSxQ(r?(+ZXc8G!;t_<DP^D5x{l
zzftfaVd-p5OJ8Y>;L~sMVIdJ=knor{b3Z(dJwD-hw6qW)O^`yF%trvEwXI@{?ss8B
z>9&8?2mnYUW265QFAUp#`1V`01aG6@+HAdm!Q=1ON3_p!L(JN={3W+e{2)PLm!rZE
zMmOH(a4T{G{Vg`xBC*f-$ifMhlYIuT6zdiFS%@9z8+#I>^ha<<`>KQjas!yZo=JCK
zpB2i#w%hGijp8pC7$3W8>BH6X^^t3A%wTw;J(z)f6kq<%61^Cr2kE|zAt%Whz<aCU
z?yHwWxS6WWlw*S~44rh-cw|Zol+85c?~Dg<d;dI_^j#gO*ce%;9Has=p>w}F26}Oq
z*klJU3mq_?Zj|PFLID>ODi*_jw&J@7-_G1G)CQfZjpoQcGSGkc)%T-UBmV2<!^09Q
zT3}x6^`_o!4<q9dj<Nbp#DWCmPTsNBf<xx6qD^VLn3PCPygSb`tTpA={?}Sf7;!rg
z-Xy+_S=ih9-cf4DQg0t_XyVd@Omn?lTAoep65GTDuYf*mKc9-Q9j^h3`|{!sJ=U?}
zh3^SDhC`S@QbI(;Z*>@)Z#?e5xr+IxHnFQPjbmdQ(NoNx>TvCA`Rmb7D;Q_ulFd{9
zDeSOg@V&wzH7Gs5r0ux0j7@skziK-^gX!JU$=^Sw1|9xFW=y8bSayR1zY_KXvpa0v
zFZNLtj-AhU{?<jpe$A+acWNwP93N=U%pX&QyN#8ymy<~t3TUZ0qQ8i(8%T>94H1Dn
zD51pWED8I0Iej&SK*AyzOwV$A5Ml2%XQD+U2`j0I-AL$I#xym~DmwjA0V>9WgB;Z)
zj8bio)D^jksfe2m@5ZQr;rG<_C7NaIPr=ZTx8XWA(Qq_$l|=<kGZ4iqFD+x7<-y5U
zg*UP8I<m5$L(1SZog<YawSwL0Q3!n^w2gVDuVtphDZzuAX*(C^SFnNAJIxiai}k4u
z$|*ckgmM}2dmSHFvDkt*_UN>~nC1!Q8*ZBfxL9+}L}hFZv(x(=Z$(K44dUCqN`?d&
ze{jZSooNHpyzB3J+L;_g8*+K;QxzcS&`*!f)0<dU`1|hC9tx<~pTEyCDG$1z82yH4
zx3JO=d7`dfRG?=2rz1p99umfPHX5^cFo%PVVe*1B&~9GmB~~N{SM{mhM+E-CUKJ);
z%>AJS*&w%_AUZjaw+M<VkKMy^iZ18l^bGKMR@SaFS{C|aLj6lT$RIc3wy~T!6R1CE
z>wLK`13!a$%>#<b;qQ1p@A7jNP^9DwUx<={kpR6oEiy`=+=xlKRnH0^X$<vb=wzT~
zJ4(0nA{BJFpr@Mh?2tcpo;J8d8ZNyO^i)@%0qYlKFDl=0fd4Bao$Z6t(4GFVr{!ON
zFDk33*DrDbJE<>NYex#IcVFnR@6y8u<*gDGe;#n8iJDk=B?Ts8xl1c@Ot8cIcQr1a
z59lq^#0XhZ@cLR(c0@W0h~8V9TX`!0CwXljM@LCP0<qSfl*<a=&93LgY70X^xJX%7
zq!cjcHQKe4vxALbeTd6BQQ*5f=5;swUmZ&xxv&flICghf_REwQJQ`3frt6e~jMCu&
zG2ntdYNMkbffAr=7scKtEe%@=v?~2vJOKJ-ep}p9un=CZap<8m%$ptcw`AvopRRH@
zrbeY9=)2SGTQ?b4kzSOX(iDK%KnEU^CRsS~>3t)Yg)AJO8E~+_Bm@kx56Fif%EL2v
zf@4>p90WAWmR#KtfyQt}%Jez{{MXD<JU=QA<UX65yobdgV>DBl3s-{Xa(cg_Tmo3%
zo?e1#aS$8IY=7ge0!>!aE(2vsfQ%jgdI(Fxjq;ITZyzFf+lA)5O;Lfk^-I@RZb?CT
z&Fq$^lPd5y6+HL<O@!@ZA7xp^WZ>Imr0k-q8YFx#ZY4`m14$k?(?j=V;V<9A*IjdJ
zpvhD5_=1fF?6hyJU6+;z>g%~wuLISACF1X8E^{p?Zo@-VZYV%1?a9~5P3pj7<0Es;
zO9!ZVgAeh{5nwk&BhK}?I_TXdzV9m3gQGzqoAMk=VA#UCbK6%PLIUx>zsC)rsYj@9
zon9H*4nH0p#ns@N^V1d^W`LC)O0{^T47<6!*xGAVXuK(OS60{vco#oSOLD8g^X=lI
zihuJ;uZ?gmavK9|i+Vj2SAmGUD!-c<%1~YQ*RXfd7*5}?FifIUfw#$hJg3GLpt&rO
zYoO2s?wc9RR|hLYD#gidjVT#$(i_-p;57vv&U;)f$x5&lR(lF-mw*K4rX-IureK6*
zl5ZbT1d<NAax_c?dV3xOP+T;H7h2XYU-T<L!BY6=_P0D>r4zkzGsG1Bn@W8*E+!9~
zeiQwEPgvoZ%;r})15@z%d9vfzKV6jEoS^I(rh@Xcyu_tB6OhzgJid5B8ls-FO|)>Y
zVKSXv7ro<5z_OwHhPb^X_?9Rec^yL7W|)w0Ik^dR$y3hxoDc_gk0>XC);w-o)9m&o
z#u!2(d4GLy6@{SGWFtqhExgQYyiR1<2-36M@8Z7&;r#sj+^F+ph@JJhkK-95xJ_7C
zNU`Aq+O1m-npKoY|Jn%?`!4|MDSvA&&U3-=2KvxDM~yC%8sz@i0rYw_o@K<@q2vs)
z>wpI>no|96bfN--?&-MB)cXgZqv4jys2&|+{7E61T4M+=hb1nV*f7A|*6Kp9Qabd=
z(qGQA*#NpTJe{h;s3AqXq>iJ34n<~E`RjkxhnA#kwH55-pb~V`qd%1n#Tky%->21w
zh`_p(5ZJ+-R{4c8F*?Ly;Ty59qX$2%>t@aoR<W~`bK^fIX^}F2+g^5<E=<yr^)b}W
zV_|EfWvy|vh_&nqPwjIZsEPlNjO_Iorq9esNi9Z;LN@GvKcv<HhT)&-lJw2kY1>0;
z<ezAe>98u_ila7MUrKa#l6i-p{!zNeQAmR(>{QtPKGA}>JloSreIxinP_-Im3=N8<
zj=$x?p#_58ieb0)X7E0(V^>_GXwcdgFL`a0Cgis#3tpdEz?pXkBj4xIpv_3LN0qZ0
zz~xzQ`6-5kzZ>tJhhZ9IrQVRm?4SXOZ@GK_JG_d|2-Mlx=+mO)(V}}*-Rj_?wd}*R
zw2uEZ7nj#=rA10tPA9oqszXAwZh%tI7XB=FX`VBb4pl!dJ<0Mx4H$J($%2P=aP5$n
z*p4MV>eGFyQ+HGis=9hiiiv;m+crmx=`9$LyV3e}7*z$Q?jOP<m-q1#RyA)EgBX!@
zSc!DIpDHAgt_*iBk)dB#YW#Yenb23(eOLQEB7}V~KDZ!8fgBHuYUBV5@>JJuV9Y0i
z!1s~NbXQ9BZR6?l%EbfdsDVNis}>P9o{TRXt)N1qMtdrGv#coD!EN={mw)%X(j`~5
zPmQK%sz+ZhvY|X{v+b2+6?nEcGxR5b7Nun}8RfEaAa91JPy97iV8U#FJ8zi|=^3+k
zBpl^L{HK>n$48YR{g$<Lb0!0FPT703|Bwsu)|g*kvsZ=<C;WBO5hf&>^~vv+3=g8<
z3k8d5CFuQ}Uim_S1vTZA>P)}mMS?vVo_ZIQK+mmcV4s^69jD9q<#3T7*+r2U0|`n{
z^-;TEOo0s@%e1%hIxUE1?R2<Xe=9=jFI!`3dv-MRi=9@}Ul_@+`JOx1t_TV85h;5&
zInZ0X<BUUAqA28LzxHO6BB-u@snsHJA`|!Ga-J|TWWo^fUad_LG6hRp_D*r5Yis#)
zI*-Ls*o5b@=ZYfOdACgmlX#H$Ql4Gqz681u<xVSLqy!F}ne^TTd`OieE5*QF3gywS
za@#g4fpS24n}eGG8iv9P>^;(`)vk`q`rjVpxvX@JF(E`)N*#8wltm#P4b`peDsU!;
zg%GbNg0$(5rKxwzA;UmRq2swKz;PzFqWgg;DsCQr_n(~tGPhh4WmY9ZN^y@)4lag%
zXF3>p4iix9K=&lwKYyt@=xYv>;wZESb$8n+p_`SfOFJE^kbG>OU`r>7l$k6qwbd)5
zTgl0J6zyuz*u<!xs4j(uo0G^UqgBu{t)$)QS#_ASKmV-ULmFMJs$Tg<MMUT48X62F
zHDUaQsY^qO47we-5wsmlL{B2TTD20jV3fH=t)om9y_2?;r*0ym;qk8(MqAn-pW9We
zRU?O9BseS?d?F$$$}@T%NxBehZFCR6E01oweVIb9h^Vu*W~PK+ADABBuN@3lK;NQk
z{WSm8clb5+$+W=$qGGs5>G=t0zG}ic^rs5y4B(gNH^ZQx*VplUE&)l*{yIsitb&&2
zyE<|_0Lb>!<#k30$ojSbjK(S<NyXa{hAc)<dLUAp_6Gq4ylYqs0|Gicbxe<=!U(dT
zpCSuuBB1WgiFwVJa>)FJeruY9G1OdNS~IsMAaCyH4c?S8h)>MUE+)wsIOn;CQ>qk@
z`>G3{7f}+CC(itPp2pDH`&Y=bPab{P8~>W^Du$Z#m_Cip8UtmmvFyluIW!&{?M2cT
zLgEXtZEf?$&~Tlc!#!UXac$>dhgo=0T@6Q1L%%U7yT3EEu#iFg_kP)4JIsNWegA|L
z%8fxh$!E=CN(xQs29JK=W<f3_g;z4CjKP4Bsch3<5;4LG_roe0bn5udN+YW={P}Yd
zJ3|sjEi3X4o=#-Qw{3Z&vEB%h?V@5n{?onVJ>2nt#s<FOr@>uhZ3Km{yBWeLL{Ua{
zk9Ae>Pn^CEuDQ<u#0Dfg&T9%GzeB}E1mYMzR_(xjDgr=g(?sOqRep3uSi;`D1jlm%
z&Awcs2RPEmctwno7csaiH9k1^5;F>JOLW%8pzc@GC;R(cXp!waPub2#%!!<quHM5C
z?)I6oKZ@i)E>Y$e*^Gv;pZryve(44f8E@4n7|DhzXcG%e&W>V7nFphe;rhUJV$_P#
z>Hy*k9BQQI|ANU-<(N!u=mGVC5u4(DMr0y)x?^~31jDDU+gPgW!G3_ofqM+}h;y*$
za*ON`w)B@=BP~J~a@Kn5pZL%qYS*l)J-1I7>8Q-~b)*9x?}Gh4uu&l;3xgEe+uhjU
zLxw@g13Iv;^oci{k^(VgQdB(id51Bvs#f!QX~X1-NL{KH8H$cSy?T!PG4^o%*mvS9
zEhw1I`j%kx7w0W>w1d=}xcl+u>)QNU{{s1X|GVNHoQpF>w5IVD9vIpfxEZSnTxCk8
zEho0{R$tDQ_?-^?e%WP$!Hfp@O3@n9dvD-{8vT1z-TnBD+riCaM>XJcwe0Wy_iMPf
z&$S`3{9)WJ!1`h}t_}(duhL|~S8?VcMlyZ330#&&`R6q?b-?={QjK`8;Nyh1^p<SX
z_;&sJ5xa+KkXPF$ot(Rje>2GcS-d`jb8K=&{gPIL@CLP+tZfn=yrr(-Joy6;5h?c4
zsZa&GnvnO>StLA*cp>}7-~t{T;qzTWP8C?J$m=B?NO(gjkATL+B0lRHcR8<?2*%RW
zg@P6&{KKoAD-#z;xO5AP?L{3T3~I&vHS;9lwiOlKBEl;;Z&UoxK${9o(xK3>ViF$z
zYBBb~$5q@sTSWY#g9>PV8S3YtTE>f;6$=v!*Kzej+4%mTGW@60K*ycBj7#fQudc>#
z;<b!I{OQ!nU?@&OzoEW@ck>0^O-<g$cP|oR%XF1MaOLIuN93!xFwewop}JkXqm*n9
z!WAJ~>*2ZT<yCz4=q0^gsy#fRXQRl!i2x}-sy|Lquj5yjw<9x5$<XHn^JrCa0&Hc>
zl0CpSaF01Ag@_VzWTAK8xYkAijx7fs=_}sEwcI^J4+>JEoYW{*y8H6L(x$9ms<4fV
z8wu5UHc=ss&iTx9RPqokwf*SR^bTI@tZ^miAGho`5bhKG<iKC>$5L*`ADpL{Cf3c1
z4zX?f<d%Mx1-S<m53hgQ!&eW8{_=}vK<7ub-)J6^1^iR0^7%qClxCA}Cj5>GEsIAf
z$F<8q@JWK8*c3Uc7p7@*F+PA!T})b$ww8g{l3XF)7L=%n$1(fi9xJjEO7da;Dh+q4
zNCASMsL+^OVnJstJ4(!IeW?>84L2paFwaXg=y8^rP=qiin(Tjde^EjjHXq)W&UdFn
z-A;RN8ozU)nM&Tg>QO1Ud{c1F$Cm+>e!749!7vZ{SflH3xI_v}gMKnSD`i3y9PjIc
zHu;ba`xU3Hf4Op5&10mT{QzS9(vvB2P!Oq`&BY$_kphEC-+99cRwPZRPb+K}Mj_4J
z()IyTuqewYapE{TQf^TjQ^Q43=RgSYMVb^u-CaKS;Rgq@kT*J~uPKh6FK72X?vets
zE0@#X6>}l-wEW<p4hdviDNid&l!l*SBsKkb9uzKooX`*{g-%7V`PAal@VwHl;rk^%
zBw78Sm%~H`<poMm)n1T+_RrZR<n;o`qFl8kP+AUUB*`zUg~>vbaN&j+gD|?x{MAlE
zL;>}AJ+fG=l7oX2?7~~7qDbr>4_TFrBC^I8{%*)90QRwY+dp3n>3Of|$Y?7gcw=I4
zd5r+m?F&l-f5p)cfsYDgWh$tv5qI|ERR;U3Z~hd7NTPV#-~qgZh_1PtGRk$U0PUwg
zsS7JosNdepw>Lu--Int)4Z&2QB&*LgHA)5vt!bQL@KQsJzUD4%-_*dx%<4$ZzAU;{
z+3hrYKppkobXv@9(tt2tn$WMY@@UuRwawyHbyRTl>}AL2TA(23D#7_f0c~aZGZ(a|
zBNxXXclO71fcD$wnK@NO^kVBV-+vA2=w8&FqMUy|zUe%+%xR~Dx|6o#JZ#j_<tE~F
zOLs%)x128(HB?3(M}zY1a@3HSO@wyVVF1ZLPioC(m63Sg0r}H$s%WZhBITx&5!8mY
z*1Ql=L9-FA<h7hcw6Q<&M&YnA#C)z$e<ZGgp6{N~@BN^J{#5VKec(5NjqPA%iB)BE
zxj*zJiCh82nD?%1y*7c9(pvAhEtSzQrMXAtmNZ(mMJB>TQ!vy~8qBp)LYB3AOYvXC
z(Xiy})Y*Ue@y5R27@|-_6*tXYrz?d}M%H^EB%4Ct$dD->rGRwFe#cL<bE9UL+3#@y
zrod=(lKbgvIkdm3LAG_A1yLi%EmLJvcyzy#^~snFTKEzncR+#y#Y9WaOb(cUX6x?b
zM>A4r`uH5V{MX<3cFp>i?$ah9;7M3|G%bOG&u{ON>Rw|XgY5eM{No40b%o37(_)A{
zV%^y`YY9vLL!s#FW(-y1ZyUNtM9@x4S1VSzgQ*&+CrtMn!RGM6_C8KQ)ajBpToyzQ
zPtP4a!eMR%#uX~|BMH1nsf8o{w;vVYg(0W1Ujr=6Gq60B;zE^O$(zCvG~kr%8p@#!
zAk&DLc<9)XpMbNvY&$J%?~raP24Qfmjf0n9$AVty9@p!+L<cg19QMjlhTyBw$LYyK
zkDA||<YfFz2lhQRGrrdifI)<<DBYe4t^8oVbYO@MDr0*m@6_l+_z{r|W+pOpDM+uN
zw44sIa<Jc)BYLppB|azYxrH~?d%4#irvrLPU%3`$J(#9kU9gW>#;g6s{r8q>fj#H>
z83!v}xM{S$9hCJQpUYU$YsjF5hO;Z}$Fg)Fv?p`x3&Rlpjd3B3OOqBN)7t1+zG_2V
zbK$Et=PG>1dsTvLkp`-6Oj~cMX~W>#V8*-cU07bwaj~;6XaISK&}C+50lQn~xzFYk
zSg)DwNM|VxfRh`g@3JO%_{`2q9s7>umS1y@s-%J5?cx9_Crz+8lf!j#_!s7X_mbJ-
zM;bVC;+n&SHVtU`a7vZme;Lz$E73wDKnv$;>BY5mG{7V^^GK2E8a8>ez+3++EwGH;
zBS}40hh6ENQ+qudSTOVS)mA||aD4aEOGZf@cuwkMrdn-dM@p&Qyd0zhTFkUSrcMpU
zTt(%Yp6p@;HVwfVP4rM$rxq`$r3Uq_^Fc~1dziBU{gU%r23Y-T9#8X56}0v?>_XMZ
zfMz_qIDCT<m`C~JNVcjl$(Ytveu^9j9)`-~_RKIg@llpEPlTSN0jt7%3XpyzFJ3jx
z0yLrb%cPTuaAB;)m3@Q~K24q~RXWNF%FI8*nx%-q#xVyaGSsmB9+FDU*q}72W^lJt
z1s13BJ6@*HKyrTc+{_7fi1AB2C>p5(<-%P8=npM;u-{-cPvn4!?U@VL<W(T}mMrz(
ztMou&x*4a|!3n3VB!g|+mBBFwH9b>hgzAKw%(BYdz&AI3jmAP5&a0c1DDN=AK(Ad?
zbpsDvGVNjVA65dM4?lk0{l)^SQ{GRkT=<}`+R<_&N(o%Li<Cv8Sb^k_<s2<3@Q<J7
z#9ft?pylf8fLpn2;9<xUo5m&tH~asyxwWYXJ4$w;eXZ=kf5|iYri2K%gbLl-8B&B<
zlwoYh!U;4#9$l-b7KJ;Ln>YCS6=As7_mWu<7aY=emk1magRaRIuH`vJ7?BaWE4jc8
zww;Myqe2p}Xeo7iNJI(7&1~;a#q+{x)4p3W=Olr7T)iVcS_yJwLn<_g{O}(IMqC+?
z0>S@2-&p&j1XNLZdFS>7An(){A7*nIScqA6y82KVgipp+y8aM?`me3!Ct747CVg1j
z(@X_;-`u;!{!;{KB|2B*E##q!lxLUMs{-u#t1aIt#h{$rhH9Z(0p#R8-sXi9A$86F
zw!4rxgsz~npd*TqB6=mxUSAa)&Xr&Mg-L+^K-k>jH%h>i@I}o@Tn&!&24Cp*m4yB6
z`Gbs%D!|2@ZyYVB4yg=ra-q3Wph)k%?^mt@moFCdmmJf8ozqnXp>L!iUMu5GnIsW1
z|7($nD$s<;*O69<Q!+3^^KIhUB_iD8IOi&|rv-s*i{s&&vOs^!oaNqYBG6Uo>Mlg<
zz(b!-tJrNhQ2Ndzzwn+2&n+BY0lglir5_~fP09lnov0*QLWHx6x9p3G^}*(=t`o6b
z0SZ}0_KS>(5X#r8)1_$$Lx)5S`3wp0>&9FN&m$G+ZTjf#h%or#Q2gf9eFCVYNvpEH
zQHDmcZmc{XKs_L)vu>0C=VCIcW^qMWF}^(f$Iu93lB>@j86ZH{_HBij00k)T$+f2M
zF@pP}kwurX39$J@K<>hjELgi={r=d<7#7V|-wkmQ;1I1U=Ms-J*ql_;vdlAv&a53;
z3Qq-yt$yLAeNY1I>u=OFbsNK6YokSHq&#eF-Qtmp76pck6`BkG{NjzwE6X}BIp{g|
z{D4)q0H7nspT<ragNRPEO@Q1#9UPn<ym6HqvPmzUYnqKgC4yn`eE&bbYx!w<bd3!<
z<v6CA(~KdqZR&mSKmM|@FG-VWV}zz>v8SJ#8G|)FWlJYX0tUFI?KECeK}kABmP`8Q
zF9CN<t;5AZ+^>C!F7q$uA*_?nm}La3<2myad!jH{=WqF~c@>j<(-rL}Zv-i%1H^h!
z5jbntyxiIT15-OiaUmE7Xcf5HxbG$i>Lc5Wfh<GVg|)T<$KwFqG|Ac9I3K*q`d(&L
z@C54>*Zf}Hfk9yE8Qb3$Jm527&tlHejJtdl8FwZb!uNdY3r>GI;p59=sVPo<cwAMz
ze+<7NaOC=rNq%LASLoSTSLPsIVPY4cV`%`@VZZx+{$_=o#_IlwsbSoa&DPyAP9J15
z{0E~PS)lO3v2c^QVVu3ZrIh}e9=s)v^H(b{LOf$^`Bm8=eAd30`u2t{RQ2eQy|AT&
zy&kdiUTgz6rR@EW+j_bn!PCgk-bD@idl#K&cY1N2@s$yZ6dhPYoJWc>DB;a46aDzv
zHe92-Iq=GmHcSPYjql}?1C_d5P;SRFoUOKS-cC^)bnmWe#kKBZb<bXX)c6yD3ogHU
zsd7aNj_?>ATkrXU8NAP*{BrpzcH)uPjoBZX!0{pH3z_K-=8$vi%bSQc%-FC*6Ao*_
zjJH!y8~+x@JS1sTFVcq<5#(Lio@&4YDV@W-hc+<P5v1NtHH6jW|DsnC*MOvz@b;vR
zHBA0&c>>wo7^eDVB`qjN9fpHdue)chVjjEwujJ26Va1!@H0tTpAw0XXsk?9mBYT(s
zh0k#YEALTe9!*q(7vXoLUVdH1K4@;OIotfe(sRfzyx&uW*O?dQN1c~3orIL#%;O7~
zPNg-2cf2a--_$s9mv$Lj3v9H3(~FpD$W!J!l&Ua>r6dxkNto+*W9|Vn5@ym~knNmG
z1kvaF0=_>;SP$)J_opArnCoFrz3bdWuv@%J|AuoJljZ4=9lW)Q83<nk`Fkp$VOV2h
z>AQ@L^zTj$oLR>*FNj`}&{BbRb)}Lglgn7V7Jm`rp-pV^y?yw%d}VNsxb{pjZUwXD
zRUF?wyp478iJTPqpakV^#P=Zvt5|?+nS;;yU2JTcUSgA6305t>vOE`C!~O>V0RR6C
zmuDc=Z5YPwP4?c7eH@2lumA0kNJ+LNg?dZb%4(M~BcrlKp@EXD@P8t!QVK;zc9}&e
z`}O_)aF6G?uHRLgCGY0bxQW%3Y%TeL8bH5ya=FSfmL@<uUL{2XK~ed`DN#h=YaNn}
zab3YGhD3<6VYEO=ETLZbqza!7)h7;={l)$h8uCq?qXW$=x|eJSsvuAyz}~37iuHb`
z#5i7KfVYZ4!ul6gV8Ldj=uQ6`wqJqiD4Q`8SUE^jE`3)9sZ?t3WaS1XB1ERfNU}iP
zFYT;zmdbE1rM~6Cn=LHJ(&G1DRW^uRJ$)j+MhWh<?Rgq`od(26?A>oqaeypE+`x*W
z1b2De->JT#g=PHqeCq%gtjkc(I#nt{^80$;5jlErtahBDZ{`MCGH!I;Oc7EPqEy@q
z86e8)<3zY2FSJBN<ahQf0QP_=Txi1tuO~7Y^1Aup9_tT=fXfOX)){bwNty-NC?6C9
zQUqY~aqZhLnhLNWx>U+8$p$8#8JTMlLf}9fbob4YJQ%pfU%0l91I7~-8k}#501ri$
z<zSmU1iz=b9a6>xzQ%T<DV<`lPP+bkwM-s5FDvQ9KI8^&&Xvssb4iHfGngtbm4|D8
z({J_j@WPFR<0+@lNyBJ)V$*V~Je*}!=<Lto196W;m)Z##i0cp#@7k7!XxpKKPizFh
z?4)`0hX6SU<UZX<>!tuw7FAa)<b>d~aad=GkUUrzX|GHVDS(&hRQP|AA}|!~QGcsX
z0YYv$M?Jf(2r?}svm>TrKvHU2xm}?I4-WR{Dn%$kiZM}OC|&{xs+EJj4^`k;aUI^C
zs|;a(K5==_NW-vQ?F-H#BG{_<pS;AT3di+T!oKX6fzY4A5=!MHa5zIl@6kvEMv0+w
zr%PmkHnIIbpCe>wG9{5IA4%{%)aVZqC%}ikGe?BnH6Z(7u*!5M8TQdzWFEXH4_3*%
zr`h*wf`cRHb^(nh49QP^FcMRQ2WNhsNGDL><JaQit~(Tv=)QA9JXZ+<)vA*p^iqI>
zSf_l(T^sm~lIG^bRA9BQ?;)4F7Wh4|Ih|>%3um<iqJ^VXp)%h8Mesu{5avz0qJByr
zT$3Mp=k*f7J=*1!ZlM-Tr>Sa^vkU>VJO43(mIO<RaZbICTA(KFng8XRF>G2~F-Tn5
znIqNUv3n^6wr-{>MzI1g)$cRze4-9CTj~O(rJCS9-ZNt)Yzmn=M`pv>$>4yyuZOv5
zz+-X!!*aW*u&+Gp6{|2AzMF@Ij9gR)rMy5&%s3V9e)v_Ixu_07Z|Rl}^r(VUyzRf(
zBs1WSs(SL>T^+8>Pw=UaD#DUW&D}XpbJ%yUfNF7;1l+WzkMe$!gYWsRx3dqK!;$2U
z{Y*Rm{;X%gCM8`8Xd>v_t3u5oXx6pwLYpcie~NfkxFiG-M-F4sr_7-=QV65&?5$xV
z((1-9Zg3m(jce92hn1-FwmcR}ur}S<(d5MldMXXK8%E5)q!e7=IVr&HZj#Avvt?|f
z%V)wr)C_DM&TXb1B0y(MDa{|jw-{TA=<aVDREYIFKdk943qCgC;x;vtc-l5&rfe7$
zv<^J&EjTF+Mk*T)-J>hGKW`AxVcrz}(s%a$WR-w@>JyJXKi$U1{d&3Wy-b1ihfnzB
z01*&*liC=|O^;5Hl~4Tc1Nf)DNngw<2<P;Bi-heNk<ZtEO*{?&ccby9mPuYXCdxG6
z@qr1sbX&TjhZua29Y~Pg+yw-hey^z#W;Ez<wRyJ01oEsO$#FbkgSffv&?iDH$lgYO
zg7394RNlS#X}p^ewsS{sPN=e=?#SRKk?%&}{njx1=~-G>Ib+@OA0rErp_}qeWHy3P
z-Zp|X=Q<{7_4bxvEi;-Z91-i&H-s~}&S^~Be=tFz!I)?_W)#L)P;GhE00N8p_tSaI
zV7tClnLPf>gv<wx?bU1aVbSx>T&eIdrn09g=ukQnstWIF`N5zMTOMJ3-$dH5?bx`o
zf0j(>NMB;|fU_QGX?GZ07^uSY>|e@^aWEm>kkNqH=ep3z@y20Y>I*LV{;u=b6eAM(
z!8CB0M;8d=A@(nwNAc=AmM>z*7*YLn&!J<XIsjk1G71)c;`Y;fSTAodBKMvXq@hu5
zXz$)AFIbz$?{YsUARQ(oLKo0dZLbXh93rLl7K=FL)WKh$Q<%^Tu0zJCT?>AD-<Sy*
zS;D0pPmiwfGb7KDZMsf#Ex4+epgQXE7k3M_HZp(3jLK*4zWeZo0y^gOqX|{3xPh#R
zW&2GQv>?gfQDQ}bX||h~7V`#98<_SbFOn6_e$TNv*`*0O3{mX^wp+N)z_~8^du+&t
z?@%ngrzU8V+Yg4@(4dYZ&Gk-0><H>4hHouvKqqgdM`<`MB81;fq1bXFZSxUl!YvIr
z-e&apZ3!K64}O{x@QVwL)DVNGR5d`-DSX$_d3scnphf2O;6}778~eFGl3{k;=fZar
zMl}8GvWvY351Mq%=I#q6Ltu-pQGPxX%1x_^Yz^l{Wp-aHQWVIrnfQ}_QJe+!#_8Vu
zTE>U$9tKd&tJI<Sv3Aj}=d39Fms18Ky#Oi-O4MH_sY8z43a_3gJ7Qrn=$Qx+M1LBW
zbRA!kfIhR#u86{klFIg%3NQ<!K;UVAVNHTd!T~zzO1n_~-@H}QD-rbKPX|rbA2qlx
zirtdS=SEBgujQ+f#n5l%li&MG)xdL3UuNMA4>~MbXUUo<fksCsSK}_J!FEdTy!jR{
zI(H-NxBhb}6huA1CUjB__R!C;<{aQhyJa8Lt!_voXX~~;IIRYkCO#cIS}TBlT|M>T
zftD=VIDYA+YP=e7hQ1AH!Gw_KJo|amOL8dWV%c7|4{BhQVORWNSQz~`uFyEsPe8Xv
zF!vYQB-rR$%96_wMOj{ln|Q1g(35O?+kh4lTrU(K-3k>)l70Erd)_FbQ~TwA2}Y?y
z6I*=-qn{*7+jx0cXs<Gg*UKak4auNy#&;nRlSVc@a_jGVRL~Cz8pq(BdwnB3iOzSB
zLA-J9BfF0gkt=HrIrEAJ;9~Z9#UZjNIkMzm^SBzy-hFi@)m{@m)%*H*Wy>Mk+Kp!e
zPU@)e%{RW!78KAnYgqXBj(}F4pPbfkBBT2rnVNKmwLs=ovLerhJn9sWJ7qUZMn((o
zN?MY&!6MS%%TrkqX@z=q_ny!|<_;_jo>MyDz?GUIXrqMU7v_&#Y|ub%XA6G%9M%KU
zM+yH&Udrg{&{&)3tOjyrk?>2L)Q6>08eb<pRge|;h7e^+1LZi$><zta2&|)!OEgzS
z7P}H3=04Lv6{IfO9%*B+(=gC&*;YjZ&gXRXFb(uPgOB}1oe6YW3&?xiBBFfr93S6Q
zGV<V8cBLf%2=a|RxHd&ZNyYv_$B(Nc&)q_?lzxDW%O`wgIn)rROck9mriLa1emL-7
zGzIaWKJnX&L=?L>blbgE1&LUcl;2~fg4}*xE|zQ}lC}<XIl-rd{{CbzSq`RxNUz7<
zaCRb+yJjHs*-#$Uj|D}|AS!SwCrx*os-nq(J0_E^vS^=xwd&Ly6$ZcR)#mS3LB}a=
zU-a0eP(SRpTVAJv_duo)tE4iz7(RUzFA_l$bGDg5JM~RbNojk#6p^Hxz{i5e{OHl=
zn=wtzR1j=v?b7#CK>V+q)4f%>kz`6m`e-y2#;rUGUi>8>!rN4XV1E|G9Qf96%YX{D
zl_p!NVRC3~ajy)^BU&WnW^JZ0YznS>S_2*b${-#4gbvTmzxau(;v~-VrogvNcsda&
zjn>Qmvpaot4(G6J3!dOHh4Q;$c{75N=y-SXW!<_#T)vb{KKKB@+?T?*>>!55Z{;>V
z*sjBQY~Ek+(gxsv=#!mQEsTy1u30jaH)87V;v8HPFu0lKmT}uc5IuF6`Xja6jZv-!
z>`E^;fekCym0DVUG!$xmi_UKVYq53t#W`RM_a3$zouA=BlxC}<&*sC}Q{R@YGB#r<
zebPi(r{B@9Vq$vK`Y`51a!z5#j3A^y&g@Mp2O6i{>ychKj5!B=edrNx2+4M}f_f3G
zh-|i<oyYzitJ)<kUs+=SQY}9u_$rtX9$02ImD!IiZW9Vtw)NpFM@6ffF#{66&APA6
z{wr2T91vTw)(3mf{fCOV=@1V(^fn~)GuHCudiA+%Jz(ZPx8F^P1{u<F46TK}#m*bN
z^rJ56!gQfS#ly`FeBE|myMh9aZCv_972DyrO}oS{QHeGDr^=(<CuZ(r5f_+xTA%5_
z=*w6_%!9u;L%;li&D_U$^xCg_UO^pT9vt+eiCxC+j@kbVd-WRUP<to+?vgf`wTQ-9
zy!nG4GC9h5<@tMD!^WfG&72k}Uiy+dxpxs?`<Fv{-`Is0@+mfa_0R(2iSJ%|f(y7H
zg%12B`f$FGD|W*@6u4b)WphmGH~vML@1K$H5U!`JY};^v0{q58S@~!lr;}QcOdS}(
zYZsK;96B^11hT5aistYaCQLE3QRDc`C$o|m8%^M@Jn%<udKPbZ(5}Lz{R8*dz8JH+
zO9K+7tu`hv&*E%J%XsAC6rQ`lV-dW=kA9MzFYJ%c;wlz-stHZA_<I!{CYm2)2o=<;
z)k&VkXWx5duay46OPAaE`_Gc$tcZ8-HTpT6G3VRsY4-(O;Pi>{Wo9y{?GtD<tDM8P
z{B^H?{kMqwC!I2jHc*F!U-;m);(1)*kw3k`(<OY;?C`VD(<BfZe>}0L?-%aa9P-}$
z{0e@0YSI2lz8YlF7!$Auzwv}vP29)#AAU0}N>6l{2*UiVZjq4-xMkAh@QLedIL)8E
zORwdK(A3CUq!zr0GbKdF?rzz@FW%G2FY;A|grmF)cjEuxLxs1h{q(kR-MBP?zIqk7
zQT9&2qkRdl^Ks92`AvhAt_9fn@vA`9tqQ?x)fL>GJNRUgCmlK=^28}FP#ONL@!sxy
z`4>;FVB)#HLXXfUx0z>;5{x<PEB^FZ#if~PKctp1B4-hy6>U(0>AY?cbDMRXqe}DD
zyW7l2!J$;my<8DoBIF}#y*6=6qF2(H`>d#|hG=C$R0Q1=zO~G<ZCvDhPy){wJJPyo
z+ZI`>0G47S@rT7|krij7Oqm-O()krx{77E`m|qB%QZCUUISc&L-e_)gt6Q(R;DbD{
z4*;_n69dYavk<PP=S7<54tx9h$%EfPdivKd7*Ugvbdyv8A6k32CPWpLhkGZ7U#rG3
zqnZ$n?4nZw=wswfsk|-%3}rH=S|+igGT+ztZyypuOdaZH9I^<|-(O)S)5?y@)go@I
zg^Qr%wFQspa|9@M+yh$_F0`v&uAr$+3_Y85+w;kr08%4C`lY_y=%j6i>bZTANL#S&
zxTy~Td{E)t`C%SZ;eD+m?wT~p5E3Fr#1eoZXhL4-93R5@K6i(0%Ahp&cbyIG1h7#Y
zT?<whKwWzR*y>Z|klmT1i;QaWP@F#Ul(b6-4YwFv46~9)zWKofmRfl*JUi)55)wf<
zThiwjMHLa{%NIS%PzBJp3dx<b6hrlGslEG{mC=f(b|v>2MYw;_3d|o$p!iFC?TYNG
zsPAK<>CrqT$T+w3fJaaoS&sM~)Rj>~9*+}8>cmwbiM54Q#!m*Z?>`P7Ox02HmpR?>
zDOK2>tKEB~PZrJPr)5%}lTpE^=<NO6B=8<gd2HuMK*iK!Saz)jk`Iq9sj(&ln|-vk
z<&Zo&v)Wx0S)qv}6Vf00HfjK4Vpjr>zalyo;y37#N<nY8r)>RwDe%BoO#K^;GWr*E
zpxVMl3n`p>y^v$A4QW1!YMgN@J6sXm$k(HVIzBlrcDm>SmJ&IAn4XAk+_@9wEvAir
zSI)nXNzjKM)x_3ycQwTQ&M6S_Ya^d|##d1Th9DM6;^4VOLh^H*zxk`Q(EW_|2Q4}#
zKq}=D@V}vs_Me^YJh(wYy2I*?9OeL5-5dm{5@eKZH~nB}OcRZlwVa~3@8qdm&4bkk
z$f(|=%J6ou29i7cT{P2;3Kt91$%#9BBTDR3EB04M-K&OjG}>k`N&R-_jyf4#+jrAE
zH%b+4Z5iodJ9%)=UdnLPOLcUv`SyEDM@1CaQSt(FGY33SqU3x932_)+E@k18LqD5i
z4*A|U2R(5gS$}Ue^mprUPin0My43vN@}rmLuzKR4-&&_C8n-cjqTVflQt7eBud~eI
zl_J{nlUW6E7HTA1wB$s#q*(n}cXPOx|HO!1SP3yaqW2%WPlKM_7?mE|HUrh*_>Y^r
z6p%xbPs6;&4_q!nY_%=U3~mr}PsVS`p|HODdM6(CV(W^3O>$VwKu-2pO5>~y8dRE5
zn2B7%LZ9dcR-LE9<hTUg>5o$A2)k<7)tqf?Fj$wWIA;oaf2?0t&WfQzmhPGGO?nWK
zYE`P=*(c#`UazLHFxo|*(o{>s48v1PwDO+-#3VSrj<xZl>yd-6-tA(Aw&bivAuE7W
zMpun)rt+W~lRjn(cQ#l!MA($s@%?-6Y7D97oan<jw^j~8cF>RPtfosffzrY&Pq@dJ
zk-+Wo{JNv;AYD0>@Tbri^mto%I%(-q>ybYx4esn9>{i^A*=z)tos_OLYi;7f#<RJv
z6xrc!rOdqBFGCo;!{9b=wTw6KF?eIz%?3APx~78U4B?qQK_=C67C&yZv?n5j4O+`7
zp9PN@KzVQ~tF6a(Jo~We{Gb3E{2jjf{(6x<#0#aC+_!y=e|&#eYoL)8=Ipjq*;e#m
zMSf=W+M!lVY$5zwz%^E&JEE|~vQG~diZ+=VX9uy$=k$#Q?yOKj_cd*`SQl1C>D-Cx
zKd_Fq^2RksR_GMMOno?XA<43NuYAEgmS7mg*5%I%wnvn<H_z(8YtPS{gqlU{-8TSL
zK&rpV@v;(DXrNnf@|n<vkjmeR8iUK2%#u@EI1d|emAF3*J){l0q)w(>efJL=eB;1b
zp2Y^HESU3pw-&t3wDbF#w2rN;G38|0vI9gpMt^hAg3F@fvkQ7#*p6pVkC8Z_#$!^B
z`5Oha9?v&9{YL{wO76dv*X4w#)^}nrc~c;8s@ayklor%<LgZ!7aDmxrD<_*JO(;_m
zzGJ#f2Xn3Qc4Z%SLB<%Ii;dBQV&0Y)j;0LIPbG~iJ>v$iu=_>M1Wg#JFP=JjhY>U$
zp6~Uz%>yjTX?uRW(SX!Dv0u&qF~O-}_11+rUg*tvem?xP1~}}Us($Ii0@)W*z2@@x
z0LkDlj|gjkm&8M7vjtWleelM@KJi1_Zo2cU@5tbi^eW(JB0Jc*8PL6z6oh0y?>p$m
z4iBt7f|Hh<5a(-5l#dmHkd^*0Q!6saC+r=)FSQFwRPvVI^NYZd`|W>a`N<%8_*Q~+
zJU4`(q8+ytg*tf|Puos)@J-6$EYIM9qW?N|>f^=X7P_kVU%WbS(rJBUs^<l^BsM0R
z^OCT7|J$3CBkEuhm+z6V#0R9WCnA;hNQ307-OI{W>QH#!vp1b80Jx;nkBMV4z&>oJ
z{N6?#Zh3SVxD^Y+Ff+g4N`frxVriB33sQ%df_D2l6of&z$8PTFTR8}@xpcu{Ctr_0
z{}E8wAOdT_>ASuN%0nPzPv7JwgLKRqt7(83l!pllCI=`$QKwURwJRB_|NFjv$xs3&
zj3fT3_b9^Xlbj^O8Zw+?;?*jZl7a)i>$D7}$`H?}X(_0o0ZC*0FP|nzLsfh88<R2>
zD878<qe+tn^!5mb@ZXUE{VK-MRuLjdH$FanK2Q@f!mq5m6v+bZGdUI6a5ab(xOWLN
zra(>Ds*M6J2Mr{iQ%B#Bp#P%Rdw)eOsI8E5J@<_O8CMm0DGTbLQ-z6YlC>ebRo(9D
zvOHwVeB<90K?aqvY3^bt9jGr_@u_211da?RkCVe>=yy!_D!Zo(;ZD3cJwi&*_B??0
zsJsSzXFE$MUep6K7pFU2e9G{5DobaDssY#D$KBiKVF0Wbm;ULmDuem2x|Laq223S6
zpDp}q2o^}N&+@ej{7EU#JGexKr8*s6HG5-7V~b5Ya9kD6oQdDhc$Ex<5z7(&HWN^O
zUdhV+T@}!qyUrf9JN@r_%rGUeqle!Q9Z*pwLO|e_2qzB-a;sFl#%ch1yyZl1U_{vH
zvB67uiSYBJ5<Qc(DSZB3KJ`?J2r<WW-I6{igVpC}1c_!-V2r1!U};x{y5QlX51bW2
z=n?l#HhC)4`S&Mn8mU6$Jc~Db69H!O4s33nq=NbJrsckiDzFye^TkU+7B~{<^b(V(
zFlub5nwz2w#ZT|~Q;AZbK=`|UKZ^<hTYNr`t|);Xu~yvLQWOqz<nS3MQbGTRjHa2b
zB5WnAolU40fFhye4-HRKA(-)}oCdQ3xG4Vi&(Grly#y)RbqW<qOcchbr34uGnD&EZ
zgB>cwSg33}K5{Xpv2Sso9DFv&-Hv+62>rX2#3s{CA&YC9PHb8RhG>Q_ojOee{)8&_
z7GqP$J$6Ixb(}P~-0gjTSMDE1S9xpq`JJ3DsC&!xkFO*+qt-PNaRIBi`|H+;vjDsk
zj5T%N#o+Ounfp&}{Mccd??q=g0Z7-^X_SLSAi4j&^x@$lY|qUkD)(LtG-5&)>WD(%
zml!PE;N6Ao36{$(h%kZ8_}>jDcL{*Xbc4yaSFPBr4}M0j)EM@)wlyPhKIk(e*yV*a
zV0&|~9n6_9g6dH^3q403So~TOWT#Y(<*V7d;4((QXya5^5wHtb-&<FSo~p&pJT55z
z;b{o;_WKt%VmM%$NrIGL`5L==dg-UxBLg`3F3s-OA}eH9v*y0)Yr}@W)Z89e(uXaR
z`1|2S%m6xnE|Y0KVfOVO847mmL(a_(KEVP;*w$t3adY~D9n|%D8j-07d<6*s^dt1Z
zAKY}}u*m>6b-_3rThWDaW)^bLVLEWGXv)pD8o};Q+6ugL)CHw$?CnL|v{2#O7^jdu
zjw!uy^I56U0lPF-UdrM&CgJp-eh2qYjMZ?pFH2SjOpG(`(8z6Jc!QvZVeSmpc>a27
zR-!hHvbkozf3ks{b>pm+wfKca#tmD1rO}4LcTZD}My+F>k7uR_t}b91HQtVz=d^&?
zp(1kkqczO<z=bFB0e`TidmA%%eo-Lfu2D-H&l)z+ND`YrvyA1rJ=<6~Lji`l&fblh
zRm|GpQS3tGU+ki0r?J+&Cd^ePhgW8=Vw?{?Oy0~}#S|S6Q|y8@!SAPlT=Y);=jtyP
zlZMu@A-W6J<{KKo)$GJm$F_!DR(9y{G}yv!id^Gkj?sX?#i5e@iEG#|<rSjmVHya{
z&W*_w(SSwXh5pgq>sY%`xNl$?Ex7&Iy2V^dh6?MDsAjbd3=`>{R1%?wZwU++oh-<}
z^)9Pq&|(w2b57VhDvJSpj2k{tns;>mqJ+-V+gn%wm*9^oBPO_VZG^3dQ5_l?d2|by
zX+TZYH(YU(8De7D(?8pgV9rrj_t7v7h^F5&4<2C!kuzh3SMt>0LhLaSx*l3^`rRHK
zGRF=hqqUv;*NMO}<y*)(Ne2f;@2p|+T+n{~(sG>#5sY<~BLf5&U}nZ;BiVu*6g2o>
z27ge6*OIOhe8(9<v*YsF-c%m2bEzmduvCROwwP||uS{^+Wg@I|n-~73UN2|(paKg@
zbHYr1ED$lKFuf4N4_?10#mh%kpgZ)1xF3-XR_JACo3sVNr6an{hfW3P6*L(!0S=J4
zk~Q7MC=AyJ{EO%-lp)<-SR+-H3qDo(=@xB>K%aB=4!9@-=cTWshxEC@v(R#>P+T0k
zE%v7uA5eyz4A<REp*&zHw${LKQW9L&l3jC6l;O>5;lSulUdX6cRI(0`2E(l*Lxp>k
z!Mj?fB7F}(aQfwKeQuJ026k_DTR&x}jJ88Vg96a<ym|f`Ne+URg!!ITD#L?4G}B$F
zLXaMD=&8ta0=Uyiy*MGS0tOd9n3emAz+la2a=euSI42C=&B0aRy7Xee{!?PWk&W%e
zRurMD63b_ZQ-zEUityA;iJf=x!jx@iPD!rdPtOyGko#{;j<H<|E|;2Kv%07XEnLr1
z={~4|R`6@HBmo&%Zu<IPqKz8Jsw#y$+NlFetZsIVqb!8b9!PT)R|f~8m7il08T2xh
z-goB9!O^TIdZ+xzuy(hfo;z0qzSPY&RIU<0<_w|J$y5U@(i2T(zG}j^nIEz`P6|-c
zaeTkX_6|Ss&y`B*YeCn~BDTq$++RHE+SQz+3B7tcT+2<`pru|aA;zi<+#Fv%R|!(!
zM3kebZ-_3K_1HxGvQ+`q&H4#3cM7CMnLe#I*9V3;-kMWaR6$`YKd$^F1%hu!^-zh1
zu<4i1^EQbH1*Uk}YYhrK?DcawD`gDZwyy?h&Z<H2(F0x*FLwGXI;n5OjloD5cd#{q
z1gWuJ2W4h7;M*Wc(IFII?~_sa*)$S-zOSwCGeCw}6SoL<M^o_AdN487NCNJ$swLx{
z{rnFA0RR6Cmv=nYUlhk}%HDhPc<|VJe$PW1vMZ~UC{)(3%!*1wGAk>Tot01_Bi~EI
zNXXthvKuzl&%gI|UiaS5IiGva`|zjR@mcX3!OMiv*YBPyLdVaMEDK%|EcrX_w|Hj+
zPhQQVPD~NpQ$jz-Hxgm6OhDzYo-t_mvwmoZRe)Xb2l3e!(xAt1vn1`2F%bL2n~YLP
zpz>X1wzo|j$o?D?oyZutAn9qt1$kJX#Q#}z2!S=xv@f>F7<!^MQ`>0d;7;Z8j{GGa
z(0uxzU0Sg*Jhc5)Y8FTYua#r37?arGL#*#v8h>M0ZlCWjZ6&}=aQjl^Fdg`GihlQ#
zGKRa4I)shbq(M}b?#Q#X9qh|#*S!3CBQTf{`g_Yv5{Nsk*iqSe%y;(tz?!uY#FSW>
z;t#}ujfwA1a?DF?ndR65^&lB6^W0|&b49^0EvjJl=mfqiBI=muL<WOEw_1X&5a1rv
z8v!&w@VZ9k3&UdoF9m4%Z!7adGkI*qB5)0lA5!J&a{>6az4__79uMSw+EvN7*urVZ
z5A+Q?Frd?0ps~8f3F64>-{IaJ{Fu+37iT97AztU5B>yiq$oMrLwQBPR=RY{Gpu24V
zk3uS#eSjH4uI+1+r2LDo3_KCD5;TBd)9DX(`}P5MNgh_l^%v)O9&1x`Kp(IGm9arx
zT6k)NsHLj@;4&T`9jpTM!0g)ks(U*nq+bpVci{MgU*`DFysAVOCWDf{^xyo0xfoQ^
zoH5wNQ!eHVKKP*nZ4ze^FEejqqP`*aC#`qza9dGf8*LppTjnNGpz#|EVhcFr@4Ssa
z^9;NF^qw|wrI_xHb}wO<9hx%>gSK!7{zWdTAuagm;&gIXX9mlmpmckbvx%$qR4IyR
zXhEBM^|6z?qgek;Kr#K|25$A@-lLRwO%OWzk-def3yb_k>-p~Z2Cmc1cwTNx1GMdO
zY*(idMtoFwqIPl}Z=|n_d*Gr0rHWrQg@xmANY$EYO<u<z8So6<>`;gF1npekjRrhz
ziTtHKXdMr2_8K2FQio?98V3$Ze#NOmI``AxS;wzXzUT3(QUeYFk2ne8e%yF{=BIVd
zIxgGJJ<qPL1}$Ptp*0UiaW4}?q0^!pc$UJ_PW~%Z$o=@F<A}*5{@t5Fw!L%%7x>p6
z!K0xHZ`7{eF&6rU=WK^9oc7(sP2Ko+jA~TCZH+;dxo;MKU7v7u<Mb9D8QK>wV4?yp
zn8C60x8`xhsd?w7kZoLrzR5beQyE$uuBa&zmhi_JPyX7q?cmj$xx+E8%CKp-G#KB$
zf)ncFsUGe5WYk#PPT_|V>?X#$ryBpnbAs<wcQO6LPqn%SftV6BWgXFwEc%6qU4D3B
z=LQ9miu^ojYo`dT7b*IBC06lbkE=I}lPHnkuoCfVf&w&sKi|MxvWD-=(Dn;#r$Vtk
zSJ&zWNkE%$px$_|9<Q`S4bx<4&{H0b%7Zc_K>L<BKk#hf<3p#fyv(OX_kN;u@-=x-
z`Y&NbaAzC;z(cwD*peP;eOwX#*((RytCAyYw0r*3(m5U>z7NUtF7_1a%0Y}Blb4GA
zKb#MQf}|uEQAlL7%J6epNcik_D)1`>I*li%*`8oVkx~v>EJCutV^Br)MU)EtyLY(N
z6K6%EROT-hQ;2~4lIFG}sZqqm6zy<TcJ!Xge*BOW5eS1Xadv)Mls=JuH!YU~W!2G*
ziB`$LsKeT?<1KWk%inA*RgViPRLe&cI?BM>%!}vx*$ilC{IS;24Q}Mbz<AARzYK6p
zX?6MM?MMBdzr61b@gjGA;knIb0z9t?n;#owLfR*<70NI0BS)%^na8OFpc3ko2`96n
z*8y{rEV4o<QoVq#@D>3!KMLr4Sz$vz#Xdg#nk0g{TKfd#ZV<q)-nXLo6bE7oOfwxz
z6GNdl0@Cj$5kNG{@%rsKPNZss+Z|z$K*px&yLcM`*z*Et9Fw^b_a)8tlo&~5W7%bP
zT~-D*OcSIyFY%&l(>`BIl%$bjK9)saECXRNX!x)zKk8-uU=%-3K!xIW22Y(K!hg39
z@({uV(L;NMKZfs!$k~ECCwxd2nrD;R)tiLTfyROe$dN-JS}PrLNe&Ke#p%Qeh@th?
zyF+d%Bs5?1^$lycJmjjXkCeNLqv=F<qGPfm3P1^CH}5Ne&>tpy<~j+4-F<RV*i;$G
z1SN(F$0<SY@JOMoj1-zZ;QjSEsGy>rlZ8o}%Al}MT_z+|8YRzAH%-f^qUL{fS?u<z
zp#4F{MUF=Xu@vyW_FY#+bNh5R4QADVR_tEkXdDqGFuE-~&QwF2HZ>J(IT~PGVPT9@
z%c1kkp{PPw9m#56@@tIJ0+FY*m;KJmqk<v@9lkT_=tCL1z|SNdc)QHs>{LWT(wr=D
z9ggZ~iQazxR*fFyU3ovf*{pyb?xs<(F{mTccy&dwIRkiK{8b^eToKU<*y{wGRYTc@
zJF;c;0O#FTH;P@9P-yOt&?9cDNIB?Zqz^M0!YbC&Ya5l2+{ZxQ!-6VkW|H#O#10wc
zq`RhJL<yzU#)%YhE1^^W7`sNAjR4q(-6+zPP>QyBLGgWgRB>VK-)|pdp!hTsAHbx9
zRsy^HGs<O9a?M$BtvO@Zg`Sxmq9Q74iFrBoQ4%>;a?F>h9e`sCRBm^6NT{hu$aC<$
zD6&21n&@S90P1gM1X9GvBbDlC@^?o*r1|y^ADi(3$hNs#er-_}&Ae*4=@`L|V7DV)
zf&Bm^#@?$Iks_i{Wu3I=3v_7WdSZM)y)g)%eio%|L_oW0S?d3FZ{j>>i)<GijiKyW
zk(cK&Db#;{uynX#7+2wv=Fpusf`4*^T`pG%BvSvyF289Qi{of1HF7nAdpb1H6IaEM
zdTgG5U&1fU!FEn(dYBCStyXtzO!j=}UCnM|y@LhME!cfOP6pM13ePUYkFuu>&Sy_j
zzzgw<-?-WUjwNs|H2d<P@RnQtnX=SilftTFX$qh{UNMyG$cgwPr}m8%(Ll$`X8|z@
z7{t^kuV~+5LzN-r`UfA=LZR+M8Iue{D5Nns<kG^3T=dH3;%Vq0Vr!t{V7UR<t!g_9
zGSZ{7>0G=-Q96iZqw$RE)`ttFIU?+c3eje!POAK&g`TM^?_2)p0mD05!N!k&@P?7!
zQKUDtz#;o2+FMx<7V^U;m;2Un64UXNizjG-@}3_1*d<-qbOX!j+#h&#z+uXgWg76f
z=^S{iL<fdrcXPb-XYkdEnQZic25RF8`32kB(AM8FMt;|iAJpmL{-r_#EjHEv4V!7h
zTNa%d>(E;K`eC||l=;0p7{>S~=4wHYCy9C0q#pCCo_`%$MGcwxR(~(jXu&hO4Z`2%
zUTnrQN>M(G8Ypg@c>Kph6SBqy@q(raES%}&0G3A$nw-QjiY^Tpe0z`AJ9!psZMqRy
z(y|wS*T+J`NCOB@(*tyt7cnNw3;e6hG|=}bFyFmG9lW1WrBnR;fn`fIXy{(1f#hPn
zW*;SWu*r*+UOw;}V|(Y<etVM!yoIhkRw`Bl-k{gCoFQvialG2%hfG?q`zK6zq@)J7
z4xZoY%G$sZ`5gVXz3CwR<XMNv3RQ5sB6)7AZVT(JynaRhEIqUtMcv^wQUx*-Hfuky
zgXK|Fd$tBM0B?h1q+X{ARBd>PH*fvHXf2q-#j5wgsUbd9T6Y!r)n^d)l9K`+*yztM
zNHRj&2HV?63Kih?VvzAur-abH@k*&GCb0GAuKMvz8DdV8&fRdK0+yVz7W(TfAftcK
z{;ZKQxUaNP(PUD?Aws=mv=$rOjO6uE>Q#cTV?}wy-!!26B-=OMlpQ1<cipT~Rf3<C
zb9F4I==S(f%_u8~1A<@3gma}T!uVo?^1vuPP=yw(IlbqEgPP@Y0&I%VHNa9(7P=2a
zxe{O9Cvn5e?ZmjQM+!i=AWv#FWCWW2Kl5wlJWx@Z;1(pM0I6rsr+Y{+16eD#_vTqX
zxG=Gr5%P%yZ};VOd?m3$eA1@yUu6L><<oul<SGefekQ(oQOX8n{;p~wK?rE0D%skM
zNZ=CZ&yYXC4jU=7-|icUfN{21o{u;QguKkWcjY)?xPGX=z*r2*x`rr~`AOh-#WzSV
zh6@_<HGgMZ6^DnFH<+arNZ`XPuz!$=2juQ<YASw`fbV6(Hto(NsBt`WS~Q;*?uRS|
zj!H{GE1Si(&|4BjkLOdfp5+IFB*~W<$<i=$zof-oO976?6;qjO3qq#x-Hl`+8Boot
zinuhT0B4^Z586=>hM3sfnoBQ<kXWu+qEfF28Vknq56PmiKP$H+>Zly(XWflm?ooo<
zO(GH9Z^gj$-ox8#i}DaE*E@Rtu`*nk8o<Aeh{MfHs-@jX1-QLkpKE?f1-{I)oaJYc
zgnV8S$`n-s?M<TK+e4}VxlBhI4@!ZL5qn3lg)&r@ma;J0sloBeu(tDeq@hqbRVrpj
z8FY&^XB!@<Ln7ht=_?Hc7(aJU<x8vzMDXgh(@bhW(&cX>7k6Y}$L&$^X=+t?G!wpk
z!chx6A{ZYw5oKZAvQ19QLKU8muw@ynXoJsMU#7IN9B^7C{mk)Dh5GQR48{~)@YHNP
z?PDYlZa2xi6lSVWrRn6;WUUWZ{T{L!h>#$%Im_DT_ujehyBl2?4T1KbHOaV*1UBz6
zih@0z>Yk?kGSwLD@8$IvF;#%7a#7B>`^sQ(zhKHZA0T+tlaL*)0CNLh`nWa}VVUlS
zMU*oc*d+rv*B&ZBV&k8IxjjFPe4X|f{zrztwwF%$o=^bI&;&D^SF-T2taQ`nmJv|2
z4|{9$lYmPg;)i}E0rZ|ylV402L7FyY@wyNR+6g3q=v+xy`9yHOA!-b(O@7@iM0vO?
z#D5?^Sq!9tzeSVx=2JbohTAPva^S{otrBb_2=j_%73^BZu%PR_e(yCATCk=?$v$p?
zN24Ddc#OgCk-{CX12RCEu$Pn`VFUAl>z)oHMzF&dS|pE4LyU$(sQxkoq!w)Ql*AbU
z9?GvFr62{;=JASQj+D@AUOKX(ZUj2Yr@|<bB;d!`MTVC<YnZwX_QJl641!z<)UGt*
zpmd8^A1XbI`MZAJP2J1Sc=!`u{|yl^v+U^jVBUhMr_pk>ECXOZ+pFhjgy7X9!iq<K
z6Yf6o`?$q5fXH~iQ&+V3AtXrp+!5a~e0EXGd}oh04k>DyswMKkb+L{1o+~qWX{s{4
zAqj)|HZe;jDK5CKLg*Qsn#bE#X)-m;4I%BnH=i`7*x^7Kca2HV5+3JxS$zG90eBMZ
z&syZMLgvkUAJ_P0JSz3K8h@rfY%uTSgv~L+X4LD?lrhV=fP8twNVgvJ+-FH_j9`GT
zF>9$M#Y_0dh>x5mta`v4G*Fa$d#{gfKHW-ITErK_+jwQIbOBL`8ODF5f-%GU9MuQr
z@kr|0&t`kv)sr{>sKbi_Y^nw^Ew1l4>(}`@_i1f7*EG&f&e_HMS{*-E)qcYdPHulu
z(9#B>=eu%`e{5p1+l_qhPE6sX2P?G4W3`~zA%WWQ%^Eg=-z`Ev#_@N59j`rJ)C8HD
z>X)rkzpz5vYYVT`M{pf)-^xM@O=x6R$*RBd13UBVWGK0!A7AP=(mY+R0R`$SD+#X`
zv4cqe4b^|$c<pk$Rgjnl7-;;Zj^Ufb%qHE!TP}9s3o|@ln_|^LbPEe=r<uX>zi>(l
z9Bsy}>Aan#sMX;DYJK45F@;sXBRHf$11^M#PP<-JgCxh?Q-9SbFtG_0`QS5^xN+w7
z3D-4M2%xb!ol!H2JxCOn|D*RDZ_edkruI{XADy{2f+a)P%_A$du?4o6^MaNtVO<4|
z2Fi%UDGy-V6iDsak>{BC_W8druc<(ysDE#fVjmXqBWft`R5>R7EaS=@8WmWM63FvS
z>A_xXZ>*jc#j)x^BmI~-WpF)dYD($ejrl(43N<zPfYrUrJXS8c*T4G3E4(ARux+wJ
z+rN<}Y-$mE)99)M=AIQ3_cuGSbG!o!DIQ<2KHKB7`(hN~!j~ZJ*DpG;2XqqWXSX`A
z7xQUO`|1>6AgPJxU3w?>jrey$=uj8--Eibv`fn20{}c<UYwg5t9AanI&F;aHdMdx?
zE0UmPA&YiPsSAtulDYJlyC1viv*bwWBM;Xdnpxj{>cZ@&x69*m2Qi+Sb8o}n$boFi
z0`0NbZfwRQ(6`fZ1gi<sr5E}q3+l9%iQn({U<vPbW@ALgu{`<M$#e@@=&Xu<bL(|4
z7Aiw@FfW|I8W}XA*RzOlW#gCT5^F#9%+0ZO;rJBxg!(fR?XC>8fzr3y^a1S6gq+iF
ziEn#43@lzb$bh-StFLf=2&)y|x@5pVi-mM@o|vs6z?;p>!*^Xru!hRDkCX;;7{zX2
zV5|fISo{4B*gYG=ekzvj4TuZa`=8DQ$<fk4Z*nk2oOuHCCZE2;A+?NUtI-br-j#xj
z8^xm5-jmpIUsV^8t3R+*W-s>yUn%I%+@0)Lo5C7jxWrG;{=$w#{(Ry8T@o@a7jlVt
z-!R>W8wzKteq+Z*V_!WyCkY+uA<ho>X0bC`14&Fz*07(k$7mL(C4f{H_I)O44inH9
z{?J{pfu&j3RYzZtfN|bZsj2Y=?68VuiuBJdjQp4b5C0_&Tbw36+iuGk+m5L7U%y@K
zzCefl>W#hitcE}2<R4g0-CcoydjBx_iBzsFc5zsgk^Oy8;ukik9(A#nKncGR&G?%0
z#b8ZO>T+<;Z!ECV<2c?=1r3%|yLku1Ak3wsNuy#7GveNOcI_<<4Bv(agP%pgPFbSc
zx_JYWohVi4YoP=GoQR|B0;2GA%Z-i5wT<b^yDh77?}Hn;yT@4kMZgKaM9fax#XPE<
zqAovW1UY<|PHj{eIw+Xyk6ieNc@&*0q`JrgaVe(uT6V&~B<;eI3zQ%xaQ*l)VuNY-
z0%QG2A!r`{bjxU+3Z7SQni~gjKy!Km&Ezd1pt*N7`ttw{Y${MS(m8O!u&zz1i_Ts=
z@5TC+6*~B*-qvu<iwB;Q)4!H63BjAGBaHP1`ylx~?=sh0KIq+4dzMKd1ddx+R9O=v
zw2y@spD_@G_YuN6EP_IC;nnxds6-YR@Y3g=rWAqo&<jLXS0V6`SBrbo%LX<lp6zVk
z5rg<e`DDcjAz<_oU~Z1!fa;)=B2^>_h`e!`KQ~<%XbfZA%iOu3!>ilAY)cZXxMO*e
z3PpgBZCiW)3J;JkwpXG>X=s?NxhcaS2CeaGgDRzbpf_W$)j~@I4m%=!#SgK){T-Dg
z#RQ={|LB_89$$RyVDY)mCjm!3W>JZM6b4(n3xCEkNpSecO0WC_Nq}%)qo0;y;8<t0
z@3Ei~B&oR^@VAzR6Bih~+WW*I=7iLAYL_x(_(V$<U6p}3g*6WpBng~0&Km84s^HDE
zq#?v12QI%Uk|>p>A$3#erk9f%P>xF#a7ZeE;<AdR$QA)2-QTYbMX5u6MRlI)NoAm_
z&oxZ=LWIwY&#!$<)qwQmI#JU-4$8D&9f-)01Dd{UbBAC}xYXU5i7M5>=`w3j{AChc
z`L-!S!>I)h4~v#|jkQ3EE$MTUtRh4hN7TPRp#|?}O?PT3b>WuBXE&y5B{=;oYfeO2
z3qDF@mN}2<gP4J;+1wrvQJIAdX2fek9bX={{Q(1Mvw*i*tSS)J!eDswx&}PAYW1u!
zB|}HVbF&!_6_AYg!YAg`;E-hH;;m#O7}G21n2c5ddCAtZ%yTN>KIvfwwZ`C3bg-23
zstPb)(lX!`Q-b>E_pHnF4}gd7IgK%S75K>h>+05~EG$??WWG6W0vt$EWHd(^i0p2D
z6d6*G7}w)vR%-&Ap;k5iT}p6?pZoAYi3oVjJjkS)FoBl8`XNr#iZDt#Yi3)q=a;6*
zcT&wJfX*6D{kI?w=Vo5zNIB5M!%sI{Jwi<&Ly}nGlP(L2Q9McMcFP!@*+m{QlL<^%
zj%V?!$-t}sD4RS=X7En;RIm&^0CmT8Qaj#C!5?m^m6N^{NTO~xLt)Gqw*Ck`Nd*be
zdideQ#3TdCxE3Ayc8}Beo|69=m59P<nIHe$K~`i}Z2I(5%pM<l@v-e=69i`?-UqMO
z*wK5Pv=>@)WYFERo!<Y72YiCUx*x}JB1d_{Ynpp`4i4uzmG_JT=!O~I=%#R?{4>S{
z4_^Z~1SHn9l{3RvZy$yRb#6pyG9br80MI(ON-pf61I3c3JN_Zu=&@|6DQ=9xUB{$?
zxJU}1uhTix5XFtcqlYQg_BhHhemcYxtznw;5n<s0+-U1f`sx{X1K`pQ`@_pKi#ay)
z9M3Z4Mq%b99pB>gA?invb<V!`*ukWflDpj8D9d=K$)QOPcz!_X_OU)ZIzYOhW1I`!
zblExV%A^NblNk}nc^*HXx_hGUH5W=aX3fxgQWsj8vkf|%f8)+Q2kZFbxe#@5^Mmkm
z9SEFZvU*;%g&Uj^(96Heg{m%m7Axn|fmq{Thn0E%;pv)1=K~_SP@R21*0Vd>VAolf
zkL^;T!nCpIXL(#mr&Y$cd{YaUQjUcR=+L0`J2lfuLtJQ7v-Vw#pB98Y*0rcQN{8$v
zB0bL%xsga~UF+C}CS;18y|kdufchPXVc9X<$k-#t|7w^fFe%X<f6uia&9iRaZ)V{^
zyJUJ*Q!Y&?FPi@MY>*M*uI<}g1w80jPezS(u?7h69|=%RU`DM*21A8TyvTep2MWwJ
z08Xw4JT_%Tu2FW!(@1<MyzH_>$eKF1QKzR%++;&LmD}tK-2BMCJ(|Rvs}8!>9G#g?
z?5JNj{Zj<L0Q&jBPvONWbufCQ;6u0fIu?o5;tpDZ=w)$LA1<U06j=}P<FcG6*(J|K
z+(!uMD%G~3Z)z}X&C28;$c65{_ei^sgpuArVV&+<HK@Fg^AzxMql1DgFKOjP5rOx$
z<KEv1B@y)db3}PiMRUW}tgRRdzP8RSb6pK;0@Gjls`H{ce6a1Cq&PaU!gP+sM-A)>
zGe@^<`Orm)_W!DO#8Fe$;{&$dYEV#~-S9n}AGzX!9H&Pl&`)!QuJJu?EJF!aPa6eL
zGsWb)&_+pgn`Sg3B|!~n#xkx;@d%-}l}#q@Z>5k!O#i4Kt_H{8%^lJeVHD*-)wfzK
zjfVJ>22O9Of%UTb<&6;$Gzy`r;kg7PA542l?|?e+O6rO{mlH#JGu{oqQ)N)FjgwAy
zhB|bXcO<=D5JOtMlj_%_iD>Eat<2A?8qineXS`M_j(F$y7q<AzqTgG(lo1a#!2MSo
z_B}`f+35I;ty#(;!Mpsor3jip_iK$@N|r>w^Kv#~dF0X96?rAAFPhLIUGbJ{pA_=U
ztNO3uy*xT7)*lS_wBW-J@AzA-Qpi8+_J6_FBt$3$>O@OzkmYLo&J-by-jK6zrdN^B
zOZCVNQyCqg>NXAu(<7j@W`BnZ>m(#r<ox&feqC_L_ap|46VS-1141QK3h1Pf#FYNJ
zE+n2|IpyTHr&EIIrTHKUvGr&!t$x#k3ah<&=C=&$-;^=Ef0cwDg;fg@dh}uNut+`A
zNh11G_LjwYQXbW>Ca~jm22gAGcE>G`h=dy(BzrmJ(W=4uh>)j-a86b0xk4`y$)%mh
zV`h~@3$AUG%AOdQ$B*0ke<PwEMP(6_VInfi8|R_q1R%Kfo#F2$qUCcnCE2%R(0p|$
z*~t~)%EBYfu1q4z)bBPMrY9f<_7j^oaslkKFR`0g644==FRL$uq>x?2B^q)+K)T@6
z@%0fIbgV$!=ESH3vTC`Oz_0^Qm%y_@wvs{OQ%Vi<M&f8Xy83WCGa33c&ppsCARrET
z`$7DSD6)untjftwhFJcV>7YevWb>7JmgS@nD*U^${+^Z$bhHyv)FRS|`xK8s#9e;$
zldE8bxCC(B;t|_^BPn#q|Fa}M$Ai2oS86^q0Sx^)ef`rZNhEPxu5>$w3+bLyI;oQa
zFgxM&#`3ZRGFrZR-ZPj3J$>SAskEopOW1bh>OFB}2xp`36tW>}?+F*OG=RAH*WQLS
zG4#UwvVMmV3o;EHdN}kRgCzW6ytl6?;z;gDo2+0&&O?j>{2Ca<ow7=ws}M#hZ+ttQ
z3ihGSp<=&;3_}S0)PKx`T?nz1W>~&rV?c*ksS0fv3_;(MKW#Bg00j<|&3I1IA;0mL
zhyQvRKt7F5wLc3#nv8rSGQ>%T((enr+U(Q^9k!^q73I9B=(!sGgA`iyedE-%)7tt_
zSJcQo63l~+W<GVy@}xzkjMk|f>3Xn|s?>GwBsVh1;=V(;MT<!MBiEYf^?*IG(Qn9+
z3tjz+_waVmqF<~O_RLpwflBoCY<3_gk|^fVyKl31pW9y^TTSQyH)CLma~TI(*$%^=
zQqiMYx8F<iHac)8c*W6)o&zbKJQ{z0h#pPk(?v@)X@kjE?N1Fs>}V>x<wo!T10q$P
zqR=I4!~XyP0RR6Cmv=nXZxqLk?7cFx$Gz9Q_uA_oyOfn*6p|6qQjy9iGh}2WBT7X@
zLy3s;JqSgjL?x*-tRy2N#m~Rb>v^8nInO!Id4E1ASO;b6gphyq>erMdF5EKs*xjem
z03=J_qzF|A;#sEq-)<Q3V3hs!6HgfiknBeh77r3c{Q<$kgnV9X9nblAxm6#U!isHr
z%mmSEe_m&(7(YJV-!LfStPhLEvP{7gL1eq=wcY2g0N!G?JiGs+9$ZS(_gB&s#6HGt
zcvmfm)@}XgpN8szv)4Go(?$@VQPc}$FAE{b@5!};e0osqnroSSL=ZomZqLXq7RL39
zE$d2e=>o@+KL=y&{PiPmwB{>Bknh%M=2{nBXnohKN97hmZU1ZH!X2XcuD?H&=^q`c
zXP(w+gb86^-BIbzWieFDGBx>jhYme$(Q;BVLO7j#-<``s9JwW!I^XP}1C7K-`4caU
zs+v^)yM+>X$K%(-9V9xG-l~ZhCX1k+yOl-`mlS3n({TLviw4BDK+mNwA}D2YSv)X9
z8hd2^{SIuVL6Xwj=tEVaNO35hxI^B6-K)BJj>R-k2zZinGFJ?F=j(*4-pgXw4#<s(
zqd}dMX0ChsdaP@@=C8F?9<$sY`3)VRfoSe@f>NP4n!XzUmTRGa4n=<hyhCU(c1J#T
zwm|}a<XtyTGEqb;ui#Pc6Ev`FvHMv)BZ;e|CKe@z61H((s$I=oTlciiRWz4IfySKI
z@|%^BMDFJctfK*w+pVJe#WFbI_Is{jrwaZU^|d>=mX`_B)!oU0viSaJ=jlsfs_5Kk
z|H;;v4%^#;Pi)JTLz{tA&)zgO)Y>#p7tEtWL|b*TYOXxaZ!s6Ud4+_dlb@5GbLc|S
z*DJr`0~N61e%qIa_sF>A(p{k~>AK+jcfGlRnIg(Ajkb1GQ_w4yZCaG12W3k~BDRVv
zp#|^$=HF%N$eqoaWcOAN^rgg4M$ahW0CEqXKdFJ&={dSF#rhDt`F!zor!u}(;Juh*
zpo#H!U0v(K4d7>SSz<(q3Oa1z#pGw2s3h=Nne1l>;8{Kry<Ziz9v+fY(A2_I<oD3s
zX#`^gg!5>qp>0`;+$m2jObR=2+HJQnTvzkkI6t6<6)fGJwT@b-82?w86lwy>whAi?
zVI;)z?$53)TKMQjW&5E7Q}AG(nH&5~!eiTuJbFVl@z6E(eCKR4$eVtYQM-eT{MtLt
zh+fsetEN8}qR*Q{_y=CPcrh8zNt>1yXRBkiEw$tP83t6ItBN;&OvcpTlS_B)DEJ?$
zwwdb!Y*k`Ta;+odoyARkDjg)GI*C_$<pN~2s3#|+lQCrHl-)XIH8hx({u%fk;P^_P
z<pwh{df&agGU20wW?ZAogo*`7_r6X|c}l`@`^a*)bS12OR)6i(Rtt#V<<)IXBcW#|
zhwbwk1&pb>-*{}l1w3D@<E)ET!^SZO56kCr_~dcV3@OY4j{j>J;Hp%`lG>8bWiB#E
zju3IL*lPie6)P{kb*SL+aM>soK1ux5_w9a?iv?7D5VnVYW!x^+dYglHJ=Ug9MP8s-
zfOYZy<1+n9I2O9^#13~699q^C8Cw7l5f_Tx-o4f*Bh<&LbAmXT)2R~K0I=bB!0)&=
z1vKTe$okUGhrS6uQ5%l|tT0Ac8whz+*BZ3FV$Y2%^Qt@LH36cZ{oY~_Er<H~KSm9M
zIdCVlLX+uZ22^vMX7Nkgfb~fvB@Ib7WF4}+xJilu75m>U{J1BLiLbVFaXPZ%yLhTc
zU8p&jq-AB-PD^6lvSihsKg?LhBRRdl(+nyu%rISal)%0!qnnQenbCXn)ZsBjGYDnz
z6F=9n9#e0Jvd_dbVX$NUVb4fYh$*FiXbBX<#*Nl4eRfPJd@)nLqR#|g3=H|*RuaYC
zvCZvXE=;I-MWs2OW&#232SjX{MKFCcT6djiLbcNF;oxjz2pb77TfZu_RzEYNrvl9Q
zd|%W^!*3(dx9MK@pNtUhXL{|pv4$CC8s)zeUPi!v<f_B6yCB97cA8|zvS9ow-(Y#W
zA$avJk3I1fz`eTm8nTC2@#MbNLzndpL1c>YByTf6T8c?YL`Sc~G8U0jZRG}Vyq!gF
zY%d=^doC1idYuhR!*`VEDi}bsF*gk!^I}6lB2&i%JC?X+&9JTg(*oY8Kr7(ICyb=)
z+wD1#YNxq*+Xj8;KJ5IUeVPY_++J^QZ|1_Zyi#Vkq6fd?SVZ4<^Pr5h&X1IBJlH%u
z6E>o*2k*>X4W7T{!Cgjo8RuB}(4#da=t#XT9Bdn|*5=_wpVix5b}#tRuhPbe-%%Ib
z-z9w=4&X(Rj9m4*o`R?-xtjayI~`_V@E7kWFHT8pH4F0*!kTj0vU?&OrfR5evRQn{
zVf;uoCtMgmB|rI>PNu^_#VD3;AAV$d?XP8bNd$L5U+`!z4O$pqXwvQi81{lgf8f0+
z5(g_eIumH1ukVs7XDo;;VfO6Bn(I-Ztm;6yDGi)<ww>EPD2RXdvdn$R6-Qy$12dd|
zsi6OPUsihdS{;uJ)_xF^#Gbi>wQ(&}u<8Bp5^1L}jt4(dYQ7_dWhtA8)*LFd-lsmh
zYAS+~^DjkD`^w;Sv)NMq0V?ctN{@@9iek<3nbmJvvUn}>qT&Y^D*PG#Q@hDj3};eJ
z4N7_BF{0;;bA|;K_DF1058t^SbJ8luocR>+@%!2@Pt2&`GtPK^Xf3`Febr2|j3Pd~
zxIL%FjtW_^Tn#Z_CD7CZ_QV<};U53@N_Tyzkfy6wT5m6fk?p%w4ZW4|0rA^X<_s0y
z+o#Yc+oh4#J4e2pp@Q=|wC|y<RERfb4?p9%0c{PiDyU5rKfc%<Vk}An+k|FX#yUBC
zyZU<faTXG8JN5SI)G-=#MW(gh^^wO$yOpnl=490UVo|X&O@q5jp$<cK3V2$n)VVU8
zf`$Apu4VCbxL<Sgj+MS5zHk!V$X=?Bk-ICM-fHT?m-?SyKaiDh{*J5VETMtrd<+k{
zX<hJFOqf%VSH>UIfa<JfP0Wf6h67!C(6>3efn&W27T*}0)x4^OYTKze*Q5{UIo3TG
z;!wr?`xWg{wrk^sbtmfoJvV^DsGtpz)2g^-Smc}eJ8d+#?#(793?W9Jxr6#b4MkJ$
zQ&sqN@SWG@8Cxl1$exycwU|#r>sLp!`*?LQ@6zb(0ap`vt4jRM+Cs)r&h^4lo!WRO
z<#+02rYRir$t-XFLPk%4XH?YCM(f^Po730k&*P~JBj<Nea7V~V={IIt$QwCl8oF!_
zr9`XC&2kFfe7>_#l35ceTX;P;@&ee&Ty#0sL&5lgsvke1)Y0<M)Qzlk0ACG;WM(G?
zOL-pMrZtc;*8iEf><YkG(BQ$r0t&86J+w+ZRl_}3><nZ*E#L@y!I>%(3d$sJDoCtW
z!BVrGONCb~U?S&h{rf61ny~r=#APTUJiL*U)oTGN59lAFSjZUF9De2Mnl8B1GnBkA
zX#sb6t~h+xBH>T}K&y~ESrmIve)9Uv8W*PGSX|81u!Gs=ib}2&is-s)nS8N;N)JkG
zCS4Wnu0P$mFt8q(d>@&-YqEfcqGCUr#8uF=xc|trV<Px4vZZJx(*h3OPkp>PrG$^A
zE<gPcCWxlpm(%QBEuhKz=4-iTMa(Il)ylucgZu`brdxR|VCVLz`cpXy$Xfp-Bg=pT
z8FJIwr`EXhkayVjQ;<AXSYFIgjc3JOWGBI;fHl6*ZnT%A$>PVWU$y(=m@w}#mtf)A
zJ4Z#I+-UDDgF0y<<SvK5L_6!p`8U1{5RZ1+v$R<X<HfnRzin6~L@k4@-EWw~&5utT
zvv){fAXPb;U1OeTwN|Pq`Dq4jQ)QGVDeJL&=I>&7<Q(CBc9vIN-wccns|#xkiDGkr
z&YNQ?vqV#1zA|@=DR{FMS;en$bhKKF)6H;};9y&DWa(Pt%h$Zjw%<ZXSp3%SIxtHl
zvr8N(++YHALCkvIb%GcfK0Bc;GDi%pR8iHB7{gJcvUBmK0vHo$pW!9;n<zgs)-cgw
z1RLHy)YsX<htjiWj%MzjCo;O%U0GH$g1xic^s*uz<l`AXq&l}i1oU66+nZttK`rep
zDHLwJliB~ozJ7^_SLK~EpE7_w4lYCcW;oF}hqwJ^<ubAVlTFL<9R{G0T^{%S7YEij
z6fLWF|07KIT{Bz%R3Cu7>tK~42Rfbg+4r2A2}^EIhlrWzgItVe^rHlJOt}>Q?>;bN
zaJ3^>c$FTQi%HbcMA`8Vojz%n!h%0$pI$K5(gRM4p;5*QHY}l7FE4y$MQPQg{NOvf
z;3*r@Q*e(B-v`mG=Ko{EgNn)&e!4E)e-b4g-oS<-nF*0Nz>Z&??k^iYqQfzDvzQCx
zYq}vL-^%hhCmyjk<7c*~gX5kXy#r?KI1;PK+o;XG<{Q*5Bn;BPoM$Y?tC}5G3RI<<
zS$XlG<1g{?P#R3dbF*J^;J{7J3lee*d{|;l_VpE{K`v$XS{N56Udyw36~ZovmCm)I
zDpge25g(YtG|Gu5npH*Rm4#66!B2&#9aPwj+fwe2abb+LmA0#!Fgod|<TkKVAyjhL
zq@4f{CZ3}9c3u=g2{Zkx8|!sIH#33pcn2?D>vF&5wknD}@!boBVLCwGZU1;{2On;D
zz2{T&iS_u;<+UwCUk6$W*?+|N383@w(w4UZ61Xqwta0_KHmLHw?_bOkL<a{JTZa}&
z>>FzB*;c9z`sO2alVl+jW;a);%9X}dKQ&8PFKrN{iS_<FCyajL`vQHFH=vjDiND-r
zZAg~h)ol7u1RwE-6!;g(;kog>tG;~N;FdsT`}JEC8{F(m)yCv;PlLToEzjCLE=;hx
zc|9I3oJ$cDQ^cpO7cWk!YC|El&x7_z9Dmdl6(qVSVR4@LHY-1Eu$n%bCTk~&#_=Ab
z#l^}<JCJa}s7V`c?wGO?n3O`T%SAk03o6)S5$V#SqyqxWFOH4hmO=TNLtc+}s^JH#
zuK|rwI&dRsNlY+B7RC9Faj89Do8PJTn!+b_pr%#aq0n3&^9p3yubER&QOt8M%W*1j
zu6Ev%wpKt7%CdfTr8<fwnjNr{r9rb_@%IQ<MLaS-|6xdc%`b%adVcv#gT)vb(X)G%
z@Zsq%iku-@D8=z%dbx!TA3Plc;!Z1LJbOog_)Trx*B<1>-l_|AI%6GpRRvw1MQZQ%
z(ZQ<iU(J)g>Ol`ZsAuxADr#hTUitA-2XEe(>Ft&`fQtiT(cik&(B08ezg>xn$@Wzy
zM7SXYmT%hryqAQj66H4@I8pHjOLu$LXCqjMP&c5pkg>5dFiFgrich0`NF5#~U?60<
z-#(9mzhdhj?UJV=ee<&p7%&CL*`9EtP3oAZ@Vx;a>!4}wl~{i_b9mbqwB_h4bqo%6
z`j@SygORCWtL0A^VDOO?L)Fy4=%}h^VT2aepKXlVu*M_lV+U5B|EGZ-JzHf{`ZRC{
z5paEnss&tK=`Gi_)j)<$&ePaS6l@sbITBfJ0Wy2>swR^Lc3vG;Dbgn4jh!V~^TL)8
z|44IRRJ=Nx9n(DevQPy@9}5g7`dC7m^$EM-R}{>+;BY`~K@o-7>=w3USwdBYV9T!=
zGER%#c{9619v|0yQ+ZWp34!r1#U754Frkk=SawSqZ6r&hdoNi6U)w_`zeY7I@TB&$
zF0M!SqR-OIahBli&t882xGEkybSW<6wlKaa^V?tUWC`{Q-(5=NRnRx0HfE-l52t?6
zp6%wf1QCOwcOM@sVazt?%lE`MFrh6@r?bHV%4W6i6uK*7QqnmAp`*;0YxIIJ_O$@H
z_90WPIeAQwcFSzdUm|*#ZU@|31qgH7dO?ULhXXR5!8b)`2#PP?v$_I+gQfKpy<8cT
ztqQ-v=|4)i*A3HssQ`4bSn<0OQrKv)LDqk9i1>c`3T9+7fHcj=p4}vlg$5VH)#YCi
z#=Gc>mV`N+Coj4}ju>{n&onBTYbHn{Y%2x7%wQk4*O5DCMNp&>a<AIlBWM>YxZ73C
zfb4$cT0yN4j;EZu)gV|x=$9tmOWS1%ryUXoTDS%AoTB|7gO`_xtr;TMye^u+n}43P
zZGwC_Xv>=)WqOCu_|IeDz_2mA-W)S`$cq~jqaVCw8E+sG3%FZfs2c;{o}*r$esiF8
zm5SoNxHcl~Zm>^igb_4UZl6(j%Z7!mnc5ldJ;XjMsaVE~wLVWwtqERX#eAp54nEF)
zg84>(F29-~WWQ-^f9cPHB%WZ0N%A1E-^uXBg9HPxmzA!MVP(d@mm)H+I(;TQ1pXKc
zj_AYelY0&6_g0B|$FnXq<zETo;1I!C2Yr}t**LqW@gLDD+h9~FGfEWt77)e{^+2R|
z#@j*VFEN_Z#%f<SLCB0&(Ar3P5LDlrczfs%VV9sh{>^fVuu1LWKVGB@5<OuB556oB
zit$H3q(n{=E!W;P>5J-u!5{ZjPpu^a_9&zl_{|bR)pEywoTbC6(8pcd9xf8s9rQm5
z?f6YRet(27Nq`PlR3rElVit)-&*Gn~ehWk&lP&vVHVrDzFa7;<a*+_Aq(yMYE)l-^
z+X{50Xs}vg&HJuuk!U`C<)dN!GI5TY(XCfTh47HG?f#NW1XdRW2?(zc#`aE)i*zbP
z)XN1<-CZIIPal=7w`D@#ziuB-w&_6JX|4IN<9~>6g0g&X^O-Tm|8mL;FCExc-Nc?2
zvP{%oj1e$kVa0-~><uH6YrNQYhb`dzUqW;tWqBxZ9TrFLVqv0aLv-MwBTpv(5t*@@
zKk=xsqrJ9<v(!N?pninemGD*KUFGsgoiPsF%QWnCqFxjFr6-h@3z)D)zH@4^n+x}r
zzIz@jpa~{&jj^dY%vi^<m(SrN59Z4}4LEi{13t319l2S~f<v@T)UDF|7;T>w!P}<}
zEpismB!^h>en0m+J!?VqF}3X)uvLfG=^Z!U(%5jLCVPERt`J6K+WfrJLIKu}%w~-W
zcD%^-wtv$)5uDvCoEEc%0^z&ff4N}Gi5**0cQ<8=;>^5F<B4H1Y;Bt!9Ovf76ZQ&B
z1y<|v498FJ)zf6ia9VgH`G*Gsr{^LMNJ^lZ4K2FfgbX;a*x)VBkEVut;;+}Q>BmIz
zZ&z5zFrty+#ZMQ+poZ`c8*>@t+V$)b_YeuR5&~8y!h|sIK8cStTNZDGDo`qVNHC)B
zs3qJhj0G~y>laewvF^auky{@~kaY4>sjZVJ_IuB8+#X)jzh%hwn3D{nDZ$Og6JnTK
zt`QyJs)Q?l;)?m)$UqbMAr*dO&Bywzp6-3GjA^0jroJ6y_!H7uVw^0Ayq(6{;}NR3
z)i=_WdmjbX4b)P7Q>F3M?YRe+*Yv*SzI2IUGj%v766UX2wE^$FxoUcUmW+pf-q}vw
zqya_u=c>g2%Heib=fEwk>evxG){vN^2}gg<eQ%>HVCCY>>&7BY{4&uebU;ZPas*oj
zULRLPann*m+F@<HM`Zp@I;8^xixlqZ4kbKS@^R|k1s%Li;$!a3rGog0D|&;fDoC@M
zyxw$(ib2FMmrp+pUcMUi&`(xH&4CYMCE7Gpe3p`1W1$Of2Af{`jH%(D&1P|e-84*Z
zHWt6ouLn*aBbW|Zkx|Y6r1J(FI_4KOcI0OnK#^s!qh1CD1q`>IyOl&otCuIIPwzK^
zV55hUdr=*8_ByjTrPJ|be`=MDw+UQpm;1)jqk;K$ZKdXpbmZSZ09Qb$zkIpg!whEU
za~|HV(!}$5LDbMz8al3&T+ni5Kx>2a$T4p%Onf6`a%Gx|RYSGa=@$Ts9i6XcbZFsX
zO_kR|pAKqJH?6CRuz(XIqo!=Xw9w*Xgh1(>7TO+*>z^>Ugpv@`qls(#P0l!O>h4oV
z&!8n`|Ie17=WKMnYr7WeOGZ-99wgyt0b92APAdqxGOY1^?cMFiHKy7=D`VW*Sgp=V
zD=2b#X~9~gfws}aeC<{RJes=2jsDIGqVgnC#J$z=KlA0Iu`SYgxYfA3`n?srtUhc=
zo+RVn;IP{{u41@j?5kL4gB3W;CN3rXx2CH~K90Zt!;h!-z0Yiqwt^<zjIoJJsyNPl
zEC1pBb(kd2ypT__0u7@Da{qub8qaigM7>xb;y!ODwKZ8nrsJdC?*)`FUwPfFsV&3A
zi4UhDY8)+rDzwXG(?$h+^l3aqvAvaXRr-_-|7!~{yKzdoM_dkTPpImO$&WG)FAJp<
zY_kBvxGOc!o1{_n{FEQR<}72R223pa*L<<mVBWJl3G`PD?o{+&WN3tp3n_00=#4kY
z(kKzba1XA9o$LNGE_``a7xa(;)#KZ&28M*ui@RF;{LU4|PyVxNHP6i9&iusI3)=+I
zzisQ?<@>9Q%ClF!G>6S#p!i(jIxb#Z;&%pSMJAy9E$T96HG}jT(&+iu9BA%SyZwSZ
z6FemCO8=x`3Lh`tUD?gG4!?)#HC^jpWwaSK-~6=JSE5@a1y5XNLdO7Eda2qfqvssu
z^P7BQ*n3Zx?~VF0q4V8b?6&g?BWqP(+-1NB#xzAvXEgpM82>Df`2_uA)GAuXzEU)T
zf)np9-JAGD{A3z++!yngK~|O-_;%P3q$&byZrP0yZ(e2l`(ImTq`#h*-_ULVO}7(!
zdMiH@i9xZpsbBvvE>wJ<5LGmQ4)r5xE#LZxobO{@(UyN0%u9{RN8|LtIcPyTyRU_?
ze{ep(sdb4V@kX@k*N7fqQ2UP^dC3g5v)8O_k1R3xGi3~Iw(0?8bShZ;-V=tIm*$x+
z`z6MpM-iJ*lP=s+2q#VdeZ>flEUmM2Sz?IP5&Rc)bzzb;)%D-N0Aq8{p#hepB?igt
zrk}+vI?x|P)y{H%W=K8U{9Sx<iBUaK;m=8;L-ODs&X+-78KKf`|AG?!FkT1P@V&ZD
zgHqYnkuB#(7_+BTia$FnGY<Zw1}3W0;N;<h^4BkqGrB7ieX{KTGRl(avi$d{Q249s
z_P@MI#`7TE=dF?d7>U&5ZeHe8SlQhn-eCEQF%Fzt<-V*igj=6x@9xrpy)S~3?$=K<
zZp~Xcx>zuQz-Qf8ay~jR)?+isFq&m7-A<17*J6e{H-n4C*SIOqLT^3RGRM%ec;IAV
z%mN;&B~RTHv_Y&iu+YYPp7A!srLZE970$40TJi7Hf^qu>!{hvmj8|-3c{gg-ft8OA
zmsg1<aO!2O_P$+WWH{S$Ws})K$!+@O{s|43ig`Mz*u2abI)?A~TR9-4Guq>%xdwE9
z3K+2J{>K;{zpX2s$^`)nDq6z@>cH}Z!>5Ra2`+W*8Ra^~18J>$R+&~P;4nV7u27d5
z3d+m76HEDEq=Egq_Zk;|{5|2bHHHOZb2Hv$tqMR~Cd=@}H9j85HmfQbWd-}0pXpZi
zLU8u!`LQ#*$#6^dZ+h|}HhAD#A<S7V41+P#%n~ysh;Zu<Fp}ngcM94TnG8`VD^`^W
zNh5)TQEQdp4^B|pgejp@Vi4xNT>4v=1P*-}n+m^k!>Hr_TCX;77!#YwcAr!O>%-pG
z8T@=u=bFd1+$ITf-~ZKS*Q&wwt=$hh_XvQnyc2bDRvHRaE?KjlR|6}TZ6#{Uf@^v2
z=qz=Tg_4mVtHY^kkVY%|C$vi#9#KEPmpdpAlU+f@vKQ1K#6-LE+Gi24Jbb&ZqDuij
z#Q*;C`l%Y^v_Sdm1TjD%j(Y>PN)YyG@W!+R3APwf#(nL@L6?YZPI;#cM~XDhhGdd}
zmBN?TLzjePGac`q1XbV-5)2vBCBqLTeyXvhG|)~d#JAa!AU!PTOAaq(O)shSD}--=
z+cBCqjbtd`{r21*lB_zE3Z>pM>6U|}4=W$GGikt1>aNj-LmE)<h&4e}RRQ8>xsyG9
zXhMU*VA=^DEzmK^{wjJ@5oG+w`IX*iLsgx^h|zCtU^*;+&hM2Hc&=Q35jmg(q8$6K
zFGx~Bt0c*>)>s9Ijuh_e4OAGpVY_oWfCgVHS3>j3RpD)EmVeM`8UzSMGx>g`!(IJ1
zSF|KaKwSSG_g04v!Ikne)`@zMuDBt_G>#0brF%?icj<7cr)-}3p8>dczBnR1NC98Z
zf}F!kbdWl|5ZGg51bQFRGACp-fGpHR)@RWL#nkWm3C<=kH1pPD+(;8Tg*+36n&=Sc
zcrnIzj~QGF=Jj1x(}L2r(tQMt4zh+%1JffIVBLOB$$L->+CHfD*}2kSaxl?X;1K{R
z>Q!{SgEk!Z0_i?gDy#<sg~!({Aax->X*^ULGJi*<F7DHYnDbr#;=(N9(C%|l-|V&F
zl~L$fi?z5$L|;fQZLoqX9lfh6FSWpGiJfsXh6GB2d%k`ywt|$}&YpQrEnrMd_xKUY
z!1Cq>TlusV>=2?%tY6ds_ps=omKAx(kEu(Jm$Zgcn+_zJTvrEQ7L@U8k%ET>j$GOj
z)=(VyJlIiz0{;U50RR6Cmv=apZxqMvz4t16zQ+5$_I!@<OCd!?Q+7q0mXOS%6e*M>
zqm)Qxr=DXptVqcgDkHLrjPUdC`QyIMb?*B<-_NJNdd}_&rwBCHl~jApSVQZbMC(f@
z)u8a1nL_OhH;few|Bx=QhC>j3_0mHX7;4y`2d<33d@H!O&B+>836ZNYjY_~;WA>-&
z!4#1eV{1P3%?iYh9b7FMR{*1p1CdgqmBaw=bO_DQ3jUeZn=}Z@gC2j%r&9;NlM8$N
zgTh8F!H>!3`s0}OFegy@<aXq5veM!C?e{*G5FwnF2tv~EzJkNnIcAZ38_FrMIsouY
zKU4Znqc}V+raC`KUL_CcUGy?{2N=3j|K?An2)GT|Rw>6Y;u33wYGVxn*V2S0hld2=
zWp7c<rF15AIp|%V(rf{q6+5NKWIl*}A8K^cfEleLWA;A(ZVp?ERZ4i;IpIIou&6^v
znXy{=wc-wDb9h^5ufOLKD;zA|JSF78jIF-EXLeJ}fL8T4Xv+ge*tL7ht1u;IR0vI)
z^Vn+&mP@%jF5CYR3r<Hi=G8NyMq<&&k((y4a<Izjmc$(KCexIA!Gj4UvUHa{+KnNK
zAwhWk<tYNY?svSKWyF+Eex4v_3{wIzEomCV#3t|DoQZfw%%9-?yK>A3!dHV#;-B{r
zzJ0uVb@dqWxeePVrMHG~@wMtdpZPjs_i%Cl^Pdc8)#Wj=LBS9@4pi~ID85c!dKD*W
zTEc*NvwEf+kp|$!&DtDc)<7~ktLG)BGT>L%USr8IeP~k&b()&#Adg2+r?=i>zzcjA
zvJG7IL5n${fBEhJ=~yqf&F?7#wtL>%toB|H_PJ~i71};T7V4R;3;oW3+KncIq`4l1
zITlTtKl@2KaL&!m7%<{~j)u1OQeF7-_rgJkx(Sja@XU#Xhm3e-^w$Mv16{D!ZQ5b%
zI!zwr%jR5f$b{n>?*b&t>2U3*{Oy-UzsaMi+---4m@w?s1)+672WE*4;*$ciWEVr#
z-V-Ivm>bo(b9(~~j?K(%=N_ITv$c44+vl<%Vg6#MayJd+IGDyhRn3!Im^DVXzG6j>
zx3`Er6I95U*<DodaFNsvD|#sQmkkRqZL~3srou+1W}EW#e`K-Tu-Iu=4iplJA3Cl;
zh1cijynCOlkhj_#f)o2WaYuE5E<IWYj=y2mo$+Ttss5aOJxSciImf_N(xMGfHljCb
z6B!XqRBj5N;YGEc=Gj&yZD=@A=2+Xrgi}T>9k#LjXluzB&KaQvj<e;S9kMJKU=&d_
zHX?vs`ws717}Eq<Rkh~1I96n6m@Fw)6G9M7F!6QQgafUxsxHcodxgyM&PEHPh4GID
z^8pI9dQS8vz2-pO+}ElbSw!)iY^z23F$$Cwr*AqH$A#8~n?5*Xi{Vxe_UT?83XIPw
zhbdj)L4(N(rSgLkC`095x>2D4YNPFoB6s<4G%Z5DVw)7cmt@MlAEW`gc~7Ez0|hW9
zD8SV7fDD#JFF!Ziq5&Lqi~Nb_g7`?iJpO9VdYo<ZWnMJVfU!HPlB3+hXxm#|+!rH<
zy0z4!9iRc);>{}j7e!EQFry^!lRO?dce2dRTLa`YPFJo7i{aTLA9*tM6;Y@&wTO76
z0hV{fD^%W!<G=dY%k%k4xWX6Jq9Q_pfY&R>^HU^IB+BIe4pSBM`!DRx#3KsS-8f6z
zdPN$gRd$N!cdKIbv0vMlj%mWoM&V_X`|D8e)nG<LoH`N@%4PWuYeDuq)3Ww2vbf#)
zs+_Pb1@(VfHm%Fn2AjTc_j*xzM8RG*J$5aO++oVW%}<5XrwqS3IV#{)E`9c&HQM-H
z{@?jmlT<jjixSY8sE9nRQ{A4%RCKv{(f8CG4Gfaaf}H!6aD7Sh=1a^p%#_F$d#$7k
z^<^v$59ulx<IZq$qKt+V50f3sL3&X6!7TcIq$--Gy83H4(Xopz_>Og6ACl*E%=((u
za3G+$T)T#j&Cd+=9;O%qd+NMTJC6qL(jM8>#Hx#yqi1{_T#aE_c$tq&mx7K))9?HR
zbaB--;^Rw-DcH|d?jejdvDq<5uD_d(OM5c633Ho+l595DlBgEeRBCs6c+qh~LUO$5
zhy_#ygaz=R7GCMRl<A+d)~ATK;n*&K+7nAHhC14~RWQlkE1Qb(qjqy1I+m~_yT^QJ
zuQuvseRx~mq>ZtL<LV3Jmhdda#r=(qHV&P2l_{B^pw}e9M_jRjo~yNf7C*F5P33F`
z?>jZjU{aFt=CFpoywm!HgcdG}g&0qqQpWE$4Pqa;S;K?ktdkx)HPK!^q2QFX0;Zp?
z7P}I^mTL*uLDPVOntz<(R^B>nRsLI;lWGkIKX`df4XER_7j-|5gotB|?j8575!MhW
zUd=J+qlSN;vq(#P7DT9kT)C~*5ODm9@rOngoJy%IS-HW9%P#l#JF{BD0mH-ve|cqe
z4CY%s*vWu_NwEQtYXu_X6-)I;6!9oiY2v2E8B%$v-gDmE3NmK>6h|xMQDtw*`Wp$|
z<Q3ZkoYVD|AP`Ds9T$*8p68SHz5H(pr;>d7cV|l&b2XDS7?r``u63Nfr@s?nG2;Sn
zIsjt*d`rDMBr)vhbLZNuNkS^&)Sd=6fJT}7#FkkxY@xs6^KAJ|<iA+DE80ZB#)SyK
zV>Ti<GF(ymGIWjzC^Fh7H)sLq|D8koy&#I*87rz;KTmkth}~aaHiyDl!-Nnfew?7v
zwtf3KPwc3kwsDm=hr|sG<I}xdsGk{SbW3!B=ry(0Ip|;pU3A7|Cs}snR6R|Pt(zxO
zei!h|UoeH>irWMERm|x4Xl{?9#ys&p%E{NJ+yoT9KfTFCGT>y#Opn3#zl1ktO$RL+
zgU?aFKaukPNVf2c5j}2mM2vFA4-YG2XmO0%Te$x(`IG5fxYgcS!kb8QOuB9aL(wAR
zej2~YtxfT7Pw)OitYp;n6n-~^a}qx{9~qt?v&xp3WW9eA_neI6_E{LhwH+_TME8!6
zH9Z&HWG>DS8AtP3ZSNXDtu=9*J#~;Q+#Sp(RXR;%o~)-SGa5iyM3I3wPdAx0k(0*G
zHBCreVaP8zqz{EM91b+eR`T<`k8WYXQ-oob2etZ(9?1BdSW4bsOZv;Ib14W+5of1a
zHi>T3gZP!%&54eWNP!z$+H>P3i8B@(0wZ4Of}NG~wb1TdBJ;?PL=Lk_!aKud(~q?r
z>^NcF@h7y3*iB2%eL$Nejz3X&DPBZ}v&w^wIj<Ustup67h8&(G`ZK-GEa}mKv({nU
z=0+>gn5E+rIzCCn*7bV@meb(mwX1!qf4&d}Jw6isJEw@Pv#*T~S<;~LI$idGST~{J
zZ?C$eZ;IedDb}xPq{5}XQ*JDLUkN9->UhqWY2tZz$>fneRPeiA)A0M$0Pzf2MDw@J
z5a$D94;6Ijz>3!GqYm!hi15{Y^%npACI+nSIQm$0AY7){C~NZ%BJ5(Cg4n)4M5M@J
z-7Wgs@aV^rKXU&K6IHeD3}b1t#E|<p@iBibpzNjP-Q7G&^c{Mw+{^ZtxTko3;a;vL
zjNR6#uRJnF2nfm_Jb!nd*b`&?%43WIzM{l3`;%Wp<GjL5z1Jea9wUEOLyrQIEzHLw
z*{2Bi&^?Wg`~DFtw^;=Kg=;`Y?T79{$7$lj<o-7P_!Z*3bo%huc6A8;bnMwo!3^Q@
zO*_LmgaP_R?mru)s{_NXNY{4CA7WGH_vZDV89}r^)z>IV4V3*u(xmHV3A$2_!FESx
zh;H#dHNT_^{7-i+m&E=hQnLDg>rAphtIU9zub(Q^t&3|I3S1!0QRl-pRj`3~-d~Q7
zUsXW<br;R}$`T>CQXQ21f&=pEzvrdzRe>v|A>1i#%Y;(g(64~6T%c4k(z0bh8J6FD
zC{?F0z^p)0@jWYEIQ4a2J?f}3@YIF%iN-R5^F;4fn?Zi4RlA(d%Bl=K&~zxDiy2xN
zxbqi01mXO#jGQ+)N+ADMhS9N*1x)IGz{fcu_~U<We$q(^>=uHSQ$pFGai+ue<8u)R
zTIp_><XYqVvD}Hka~x11&s%PrDh9J!=U)c5D#FI2Z0x)_T=2oN*XK^Y1YF|1a5?v}
zB0M{MH?fJ87pz46I*ooyL6YU3s)?J5;0-5S_h#@z-+qbm(?`~U;|dpLL$V^A;i0{F
zV<rfSk+D&w{Bp3Pv9Lz>xgrFuyJoJ?AOw5ex61s8k_Yt`#?-!_iXip$zHM=c2n4s+
za+*mgf*NO+hvEh$5Kg(|*6tz(x#d>7)SHwba6D}~r%nkX>8TeV@00+Qliz%{rK`YQ
z_JH)>^U5&iR~<GJDFyfPRT~|zr~$K(xvPY?3M{ZLz(9`-s0g%uwo1}~W0yCdI2x-8
zoB^5NKfB9<+kTgrkY}1uevI4b-d{C{efL_KnL{4F+{n{k?9qnlGjyZIA`Lj+vRon@
zr~o^uf8HEl<H(=6CO6m{G@(GrD(c*fBA7^@ROPr$0|7&2okvzWz@_|Grt^X_tg4=4
z?#-Y>QvX$Zsvr$U`t8Hq#Z_TmP*ODOx-KyMb*f!0p@ZH?sn_-AYA_=-9&fu(57tZ9
zXN4!~K|rgflK3VK$d$fy)pbD+ew^6AACX}ItH~N08(Jv9eaelfa?yv!I(h4bx{Tn3
zNAc=sb1hJo7kj#JKp)J#Q}4{`n!@F$#_vQTw4qr%@J@)lJ`^`ZIR~YigQoIKcypo-
zd@=iYAm+Rt*hrt)Kgk5Je<U*ZgANt`c!!r21?WQ8>Yvg|bxSz*De_qDQ7S0zFJ>e7
z=<qXKm8Z$j3jB*R?b0t&A@sGe<sla;IF4k+%*$H?U-VzE7#}LI5XJw!eW?kS|ClVf
zzgokD>CvTLNh;i${?>1PS`9Yab#S#Gw1JbMT*{9?2PAoZnO5>D!N<yET6?7p^nFwP
zn!ca~vAy}v-ulQwT>sNd>mD1p_9lYD>8A<WovXz&a^fJZboTtM1{?S}_w!2sJq=hs
zr53wimLC{CFMNKKU;{2nX0AsbuX%CMQ|PK>1VMQTtA_?QpfV+GE0(GP*NqEw*knct
zpM9d6m};z{I&e|kJxB>`n3Q;fzjl(NVjDdlT3AD6J%y&bM*-}<+_HM}c9y*U>R98+
zLM!-suuksq206Ippgq;l#eiaIq8BFCS*>~LrzE$_GVoFG68FGPRy^F!owO;=63k<t
zBoCHJ!28<k528{yaMk*o&*>!q=f&$vwo0PFvjxsP|HOrVr0)9dI}UKQ&7@<jMG!b2
zI;>5f2Nl0;jnMi+!0{%nl8A6#*!raQP8TmPKF&?`x9YF}>(G1us(!KqPL<8{`tTyb
zD(s~=Yz|M~L<B0eGl6SzsadNZFQzAVUpmQT4mG=ka#bS!5&jd^O=`xx=)y9Y8KG_l
zp2y6_3~c@o4zD6qdxv@Oww1PM)E-k1tBUT~`+Ahn<!mrBy3B*$%tPbuB%6Rh+7La5
zv6Ik=iknQJtdZrWUqQcnj6p8<G41L^65$iYpT^R~jo;42S~qB{al%Ai?daGi@<QOf
zRi3-tcrR1N^lX?BEFQ4`mlpbs<lui>BXXV_g&(ha9qcuPf0vB;q$I{k7rLkM$XRX_
z`!Ob?U}*?N(Z+Pf-_xW7-`C#~x4BWilc(4!&j2pja((QIoFxy=l^@<Rz>Vs^3?qZ3
z4d4T9{bR+C^Q42(f8$rT^5B-hg^8pDeMsNOYHc~RM5fyCwE2$mpyaITEl*y3P+dJ)
zbK&C(nXW5fsFu%*Rd<cPG{oxxgIPvuLi3s@`aN`9N#nyXiJ06sqI&SG?cs3?EhaPy
z`n!d%f**q#Fa2`P)CE3?)>OurHNS1Uv*k^=0B$($BNwTs3%ZBQEQ$wMaCe5}6L%0q
z-z3o!XBz47Att}O&yo$-op2gT6cfU@Emg3~j}Gr=4k^COV@GdCz9J1aVH}9ZCGWMD
zVf4U%exo8Ms`i5fkAMjJPUJWYmC?Ysyu)zY6E6Jx;_q>7eNjAPc{|I*j|QQIol9r!
zco5If4N^{vq1%^Oo=*xiaGf&Y&|~Dou^pj0JKMzZ<iXDl2H)2Hv*apg?<am#_1^aW
zyt5=e?JO{7enJH%&!(&|g96xj<O2`Wq!d;+%5M7|LIvO9*AM%~1@VP=UPXPL4C=Kq
z8TRg?!chK3{xD8qbcl5=4ZFM^H#u`}F9j+jFEt6QGZDdw^)WXH8#&b9T_JN@mkKoA
z;DUt<q8PiCr0m=-j}Is8-&C#Dj}+~mr}c=Tw47V-^FReGKKh&IniUnCL$?d$Z;?Q`
zNd?WMY(?C@RU$Fkg9<)z9uYj<l33Pos|*K~FvO9<?wCl01FqFKlS8FZ^3dro`?OTh
z*q<lx!51p1Peht2n5;uDEnBYUi>er$^*7p+N&~fJTG1qrEC$YQz=R$(41F~6#q~Z7
zC@*Y6-v`N|aqP=bNn;JP4B;Q&M4`jdr%0y$v+~Ghu#KZIfr6f?ii=InbYORU5-oE<
z0aYynH@kgZ^R_INSe3PWXf9CSVHc-}8*UH9ewWn7a^lCF*bzO*<fvasysd<f%64w3
zGt@x=38!aIef42`o5%F=N6IMO;a_JhPQ|eBs3y^1129=1fBx|c6|@eJw?BD~im~@4
zci80_!sUjTMAsr!EVBH<R9;C%U6~`I^HWAp5S&yro1=zD3dgtI>!#xM?H3ETZZrW|
z8-|iA;p(X6RO90Mk&5nTG8UQgOd)6F_2Lg}4b+l*sbO%NihWl~-L?ywL&GQbh_-JU
zxRg}%grY~q$9C_0yiZ!d(G400682IsGSe;E$wCJ;wxelUEdjk@igtpJC@Aa|UR+b5
zg)!aI|0!Gmpw>oSJ^Y4(4-^94R}4{bZltJQlG_q4{o*>R`ILg$#`3!^H>+dRh1(iL
z_*&ic^OhJN3i23Fw@*Z=B1(N|y*ywEQ%hro!J``ZaE0eYw~R9O_3EjKs#-yBqJmkI
zxduA%x0o+IRKU^`DnmxjR-onE5ZUajj@glOq2?xXxWnAVGR(^gx{mLgQt?y6Nef+3
zu{voS^C(h{*lPvc>F*SM9aYh}>csw>L*f_`clZ4x!U`g!f6;TLRB*5jqF4Nck>Vqy
z_=DdH8Up4rDPNS3<AC+gJ;nUE`|6cl2U;v)<aUkke2gOALbHGmp`7^swE8LUNK2SZ
zkLOG_P{0Yz{;VNg7A&Z6U>nf3g!YU2EIq?=7^waAV?ydGNd(J3yWR?Lu(SGAyrnD-
zHO|=uo|-3bMI4%{IRRh?{{Q`|m%){;AWgxxHJ`0ZzUs*b;3@F2*#4vxy4*NVyD0UG
zblexU)VGZQD6pzOV<v$?>C>TYgF|G`CEJ_IaTXv#k!Y;c6vJO_S4oy9gXCt1CELxl
z=1}`3X`9G@BA9V?YxD`Feo`-{;ax0)IdF$qJ>4BGgdDxx99k@WWVT5lR{@wo@{ei3
zh^e(bShd7q%-%=dwBO@w5@iaCNPn5Y%8v!a<2(BYzLI;6s6_>RFoBPZ^7UnBc#x%R
zaiKYNfUNxOo}D0L0^#gu5=Hd5(DFsfcwPH9QatwD!<b{nFrPoUy~2P4S-rV|A#R9N
zk+Rd?_Ra``3UgBf&a+|a_S0!;w@1loCo;KT(Foe(;$+5`S#Xz(q)X-RadPBk0lRpV
zAv{!y^7&HEjBoD+7&zNZktfqmb$0(W0K5I4^*QpGFg=Qc%A__!>T_HC6xm?_yKH(E
zt~D{@S&ygl$_jtT<GQ7Sk8AWHxZK~Xb{!)QSa13mOPeEKT`}j4HqeLXC%sL!q%h#f
zn2yLcmwD2-XPsbjz8+i}<Z;n6VZaX&ciAvukrXO5QE67w1D17>H`*8&Fx1aefOY5}
z=^@*9Oet3v4*VKg9r?6MQZoC_E4r+bX$xsb5-7T`Z@1ii@8MPQGLzGfp&17B$Pc#_
zeL;s<Blg^Q83x?@Zuw)b0~3CkYSS*Vpu=vDp6fnd3@ARh_^hUa85@^2b)We_gX7(~
zD~I1P;OG%C$~S@)|E@Aqj(gI8sk~i;zL60*<Re`s`q=O?-F)oDA{E9=4c%}3U_=Ea
zRVCIt9H>xi*6fi?g}MjA@=f=cFnBa4KlBV2PTqTY=e`jYbPld7-g$-@2RiKj4X@p^
zNboZ$`&T+p>wZIl;|L3GiL9t#%HTsb?oOti!a7hdaH{OjMOK_~d3|@_oB%5Q-PXz!
zs0}+EO&(n+Wy8G_^N9~$3SxZ!v-Pa~TF^euaC!?r2mWVpXZf_aFd8LQp0L=t#?7qJ
z6Ap2lc=79c^Vn-5IJ&OIv7%QKf`w{M-P7Vmo5x;V@+xAetF_EldO{OYlin-j&hy~=
zP#1bwuQ+bHT;`T9stJW-H;tAi_|Pte*Q2{s5+C@EE$(cfK!f?K2YHtTP<WHQyM3uN
z3Iwm7u1cc7{2l8@4n=}EZPO|BymuYal{XGs2U37&{AuxJUI;r<B$yn<<Z!AqVSn0T
z3T)O}45-*Cf~F7o8{?ei@s;rNj)^b|oDoo{+|?$E%nqMftFjc3Fz^idP(*>0Yc_AD
zj)~*n^<kLBsf6EBeHJZwGy!!bHeFPgM4PzJkL@Cq@mO!rkLoy0c=qx2LJ^ZRp3RZ{
zzQU)9>Qzr3>l<moY=CV^`H~EV^yw6{Jyt`SB5T<fF>M%qN%s>Ik;QuH#Y28uHL$ZQ
za9Bc12ezhO)-%hILjwU}u9ANgOts#)$!IO#Hwu-EnthPR<i@(j%7<Ebx>3o7nVSY1
z=0bPTm=#gYv+|qIMjgDw#ObWMKm*$F9<D%3C2V)}Dt&v1iq16_B*CK#na6a^&O|BW
z(dccR%<E|w9g)L7XQKy`CB9Gd>Q%68?n#P&ISp%KS0%DC^`TJZg#1ZvH8iGg@%*Gq
z$EwBpYhwzAP+t(9x6V=>&kG&xu8*W6*Bwt5?<ynE)Amc?_0~Yi^NTOEvgycjZ&hjY
z858*Lar)-({uHcY(=Y6ar6X&kOJuOA8SK8*Y4>%DCZ>%V*j`&ZU&BC{63t`*9Xlwo
zj_g|ap>$C+`wk5)`}Ym&lLV-?5QWOITIj>#<<V3_#SQPCHs?PB$g21mm-<l)J!E1A
zhTV0rh--h~(c_kIAoTc?(he=Go*fbL{G^Ew9a&zV614)}knW+uG%Zxv>8F)BtB#v%
z`RY>cSiw0K8BO{1S}4pbywozNg0r_?ySuMi!PA|;G_>|>V%!5pP2(~}RCrM9??70C
zJzGtK?OJZ`jlYodFi{Q<gm1XevBw%@?L#)S7-}HTT>(A;329XK&gQpqwT2d_#pLH-
z)o`2aOqo`IC@!4PDb>`shEH4v?5ccK(f;Z67sWdSu<;U`xxnIDKaZML`P-FIZ<=8w
zD~ElJ13UjUKDL5>;rLW{6D6z~{CEF){VF+}A3j5OumbJsolOO)3g~v1gIBs`hU8pm
z^e7y(gyMrDu3!Jj;Z5K@GIy$<Og|wQzV4(YWL{?tQEFR{_=nr$P;4ZjD>?Eodl{e_
z^R}tBNaN3A?(2^p?IL1ZbjC0SpnZdzQQeFL9-b?#yHGVmth8O1au5Ot7^TeTT8Uu>
z-M}OJ>@OnjB71^{IRRV!QnNSJ2;<1DgNr^BQ^cJa9pl;E7SL|qRqAzG5cRmM9SGVC
z(P3BT$9lmWR>s|K9xLNR`S|92wq-NKH&Uf>=#d#z(;}Z%40GX;ZK^)x(;1@CZ!oT|
z+Z33>toMtYVMo`pi_d4wW{7@u?}7{wQ*heL+;ZQ81x-}{z9<QuCenMp^BHe90nbpG
z;Jo{cxa;Orf=K)np&HL4VRzdYlI3D^M?6-@&wE~-Vq2LYsJ%{J7l(|12i_lC6<j2b
zCS(s<RgV)d6t?-s8W}-n7puhe4Ra*j@X@P=u%86^vWhNz-4Js3mZY`J%#h-K68kUM
zj}UGzHpw-Q8-PN&Z(tzT6sbF*6l$k4MEG49;5_SS05?;wX67@Gk=GOEQ|0u(6Z_qr
z(mxdG!_MEyQIxbH(q4P1q{VZP$dRg&yDh5^^Lqnktm+3z(?h%2%U|{r8Nao=9<KRR
zkZzO+=iff^q5NV{d3YaTGV6Gto>33Xrw9!<i%#<U;WMn{a5oXac73JetS*Fz*Z%v@
z;WMfCsgmb&b|+z@QTMvwHyw(<O|+)5wvb_OYT9Q@+KIzn`}j3Z(jnmAGaaYw_asGY
z*~C%m3t{^zQB?B}4IKAX^;a2Hlbrq>XH)7w6LpUYh?H|Q5IVV9(PC3hhHB+$9;^98
zoVbzneH#-EDo!Oj?pY}yop-Xu#V~v#7G#TN|BI(W{I7(Ab4ho|jf!dEy&<gxdwn^&
ztfNAh-`>Y&xd({!mW0JmhOI=?$C2Q#Zfkq;##?>cUFih932N*qt;F#Rjn27C+VD9f
z)MYU(kGOlw>g<ahtwfUlIrsW9EpV~TbG>!>1z{d~TT`gGmG~b30RR6CmuEZ`Y#7F6
z@9kIzhhrXlkArg?r4mu3gp`UDsT5^ql~rUUiewb=R?<Z7sLV)K85xmC87V8g=j-+1
zexBd`{GRLjU#}RoBXoYL0lq3Ye`Ml0t^LQ6H}BR?+Ky6pISv&y5MQ)Q-^%=oW|STM
zWS*ysR(L-!Pvw{@kk~!PMnhlI;`5}N9<p}R)b7L-1pG&VBv)aN%QN+~Y4<MPF`XV-
zHt#*<>LnEj_~<WJclaGGHZ5ysS6VNP^}$rY4;vK-Jv-5U`CB8c_a^0Uu<B=;d?1B&
zC`TDGyMkbMcni&JY0HtYe|@y&rRG<`3rY}F&0Mxwzm2AETv@$^bCCAr?!JZ`M<p=&
z(%Ptz@PWo1Ebq3ucZlZxHs+DqV?|gv)PC7c@FUH6(N^!>-(i|02Y0-HxFRS={->G#
ztdpi<E#5SIbd;9aaAQV0S^@T4>HAX~-c9ouaw;V=jM37&>LF-O9`>2({%$<cOPk}0
z_;cXhI8BMSy|&d$9^{ykdl%w9(?Vw&um7l-pn0D+?U3msLuu&u@yU<<v^OF5JIa1c
z(lnRvT6#K>A-oYo>h^r0<y2>%P;#E8mA4WLBR|SPcKVU0DM`b$4=>8=5*cP_ABF3l
zo^z6ekk!LA1^lD5bL;T~UMsUSyY7-d)IM1dd151$QT3H(D{ns0dUKvuCRAeH<|PYT
zt{u{SmpV>+p4p_)d3=F(=2plZtvM3(_KUl5XHC$|Q{A&{PW+`w-;g<SB8micyE=ty
zJ11$+%-Cw<3YKVngKoyxL`lGzXHn3weVW#;B&~Kybd@GG(i|UjPzGinPXB$xG($`I
z#?bh^ZH@NGXmv&6rZha~dl5OrI7hqoSLkJw4+C_Z4f=L!NDA!CLbrvM&C}cxx9r&@
z#0a@|H(*0m3fgVA9VACD(5_Y<T|V`L3G#GbK06Ub1QvT)zxu?#G?S04?QMTqAi1JT
zDebEy#5;L+cC;+f^f_{0q?xe8Fa7Gd7zasksTd1%*|tiP9AV{csOE%cO$#~M%@XjR
zkJzg<&UM;Mr-|^U7#`^FFwl?MEdhIVRr`687=V47MEP@DelT5n%e3pKIGA0mwm4|Y
z2&xf*76BUqkdT%qlb0<H5)O7d#w3_wwMBOSo)IBP+IUiw<sl9q#61j;sj))OHKNea
z9}$qU>7go{i9@@BSeEKJc3@mRDe>Gw4DK9h$`YfBgDbmyYWo@|j2!8(d(tEUyVrN$
zv!u@{di(XTTN4ko`l*{%T$6%5Jpy^J%f&%T{fS1_Nq*S=>#0+P0|^59F0`xbNWd*N
zzp_7ag1~ImeUWEP7FPCqX$=0603F>Ssv@H>5Czq@YJDKXu=Y`AB^Dy6RhAk@@DqTy
zq;P@Oq5w~{FYy)oOTk{fnm9#AG597WS?%{r3F<np@|?1gflAVY3t!$z09ow8i+Cdn
z6mP^v=C+WaaUg9+?HMWfyva`de6bqn{yR%n1vxMx7&7^(kw8#4ejr&#6FzBHjh1rB
z!?^#&`r((dV2~JgY-CakSnoOPF{CQO9mm;*RWCB^=4|<V+FS=7uls}x4=96@!a$ge
zf&$dV6Wm9WbwQ~Alx5k9D!g|s?w(#&gbz1ovn*Tnpmp`=Ucr1#$T<1s@^HU03^x_e
zmQU#e+bM<Ss3~ojYwT=aeocW3t0{Hodkvu5ZnU~)yB=t0NN$U`tp=4}bkwKA4MAXj
zYwDjL29OaOzPRe60Y&)VyX;m&&{OUi8>usfkGI>hwz6o!H{;soi{*ykI;?bXe~l?{
zYiVuX|3V9Hgg%~lB4`N58pby7s-r>r_BLl@8*Mmm_4UuL1${8F*{BHFX92k_=MHZa
zX~VXT=}R0=deCs~R!YHBOE6)5*1W4t8!mCIJV~VQK_sx-Vr;?+INmg<Z>`dX+S_3o
z{+XIUX_Y-Y`^6e$X2;Zpj%$M<;c;rTE(JuYCKpFjH-qWU8f%v!EvWE4)}4G)9(=W!
z$d~?YhPJ_WZx$&naFQPQuvbSKiVjLpZ;`gZ<;6&gY!?mqHn&eKp<M_Td7C~9vupvA
z?L_m76g6PzEXw^n$P63yJCDUwZU*aj6Ur40Dj;k><GkoHN((=1c*%jf8Or?)T=}h)
z!2f-hcq9LO?X6@#tA!$K2)i07F;gKA$JCB$Z)au3LdpF%o^DuyYt557ZUwrZ<!3QI
z%HYQF8$0wS9jzed)B#a~gADYXH2+*2DS$5hCp!xZEWtbKopyeb1RUQ=eBjkCgeUH^
zbdM}sfTHu&XD4_GU{NL>V{=FZk81?xzjLtwyRRGi@4g5Cm#C)N{euK-&h{+jss#uX
zz{_*Y++c4eS8p{(z`f2AUp%w`_&FbopZLQJA9CO9Ij1R#w~VRR0$phE@3W03imuVj
zt?pj*)EC8l!rgMa4w}QmhyXLss5#ob(C&O2QBgE^klFDk)C|r!SH1bXe}J~~zAMIX
zoPcjfqT5^VnS!;v%LQ@Xy4r}A>EQDF1pJRlY;^NiDr}qkRmW>NUh87Q_l6os!1R<1
zo9`4VMA{d-_K@alr@RP{B)1UIE?>a+NVo~u3v?4j`<H4Zf5<&5Riw}FaebXTU<|cO
zd<o0n*K1cgx^H|GCt$Iw?%QH(V|YbAS-Dx85%XUfG<nDo@TG#zvsX`yAec(oXYzm<
z$-X&-U`aqJb(QX2nnut&UeNq~i4}kTy!`L&1p@kuTw40`&=BHRn2ZI)IM9hJucW?}
zfM@@UvvfBx1jT~`ABse{uux0M>#30_PI9|zy0sX9Go!2Ehh=VjDm!zo|CK0KMy^pu
zybNIGaBcZ=3opjSP@Y*H5X0vehE;zv8G!C!`-9`#_)+e1PHCUGI6j!#H~HUveOT5k
z+hIZxz`r~A+k$?HBkQ${na%t4;S|$+qzsoJ+7#T0?j4Xo#YI2GH9>vw<lTt9{7Vom
z%KpjajY(o&(yEYJryh9j9=Uj{M+iqPt-@Sbq|jwF%-Zy(9+cgd;Mn|D7)|Yw_lUVP
zdTPtRyXUV5kM<uvqF610TBd63Ygc4&QR&9DHM(y|8S4g?Ruk|}fKCZl2nlV~9#{2f
z>j6RCe{rQj6#t!%`mA9ri()ydszYS@e79#N3`1h57kfgUdy^dAWu1A|CQH{Nq?g?o
zC9tphZhvBj9FE)1#dxdfL8y0nh>wmW=0xpzYhOaf%mv5JQ`UNLv*6~k;z=SlXn1$#
z$I0XNu0wyG`szVXn4UX4m%=`w%B54@3OJ3`3M+YfFmhpc=^t(x>?=Dp1KSjF<z8ai
z%$OcrsEdEWX+T2JD<&L76(zit*bLex`mp4{ys|h+LguV#-%KWDlzZG)pnY2(e19+W
zD&)&zWTCTrW0x{gQ>^9HL=C`OX{<xtRSv^1Ub*I+rGgylrY%Bw2JlTm+sI9bjA7hF
z=g@5wlu-%jjx;och~xzJ2hC*s`2N}%&94-^o-kpYJ7fqm?4`54Ve*(D{%xD7rz#G<
zGAI$tGy>W4$@?uS3P>7N4h*YO#nibA^Zfga!SuooXX*C}cuU~-Y4KTA%$a=7DXeG$
z)Q;g#0bYt|oe(kHysV0qv}4?oD<&|K-BzVCrHE@|>r?98s%W?6r)@?D6}r+mznOa|
zVT(fUFn6RXw(pSq7e@c5yH!+1TB?<h<Rm6ixJ<z!nW@&W3ucgC?=7K6-%BZ{(9<qU
z3c8H@hKpL6!@0uZ)Xkd8*h$PRGWSqH>5PQe18e5M^pAtOk4D!|%X&~9l(D7#sKMQ0
z8VEMVX!`3YBh#lf`DfBfC_J=T>N^qO!;hEirtHcX>bbr+`9T5eI3G@FxdL!~oZz*1
zt%R)7ZmWO%<uTTws!1vVV9Z7H+f(}e7vHD!25utb%IMuXp)!CZxq^LHM-{O*;#0*&
ziYz8g^|k+^`(6c;Vg25nirD5d-CUzU!sHQirq#CqK@P$DNcR-5AaTHs{fZQx*cN~4
z+baN@oZu7ov-0RU?o}lDR|5IX&i^gH4>0pg<Z7g<JhI+)O1+&dh7o@PEG{Jj7}^@A
z9d;)pp97(-cRvBYCWj|C9|1V^iSj-(UJm{DxVZTq5ysCp4Xj`E0S2sjkH<ci#VL2O
z={seD_%(Meed{_6I2j7(_kAHDBXzCzwYC73{^d;{jHSWZ;y>1t+$79N9ZRhF#)qBT
zM&rIS(?D;@b8L6CG@9I`UdbKg!A4?-SZ0_xNZrd0^jst2q>L{EuLU>O^tZtKIWssN
z)>Z7DD2dli>$SeHbK%RX!Vpa_GvM{~9{H;&fe!g5FAk`2qCoY~Lt>{Xh{u|7sQnbf
zgUqL`Ki%QLOqOFOUs##~>rK9!UT;Lv?`@^spce=3o9goUTR{aEH)37*QvwF-@%v<W
zbD-}1ncZ3PR5&CM$NH;Y1Z79Yv%eN|;P<hJJX)3se1Dt&`0cbXX4To$L`rhv-I3;u
zle{JX%4uR9TEa+JG{3`&oOt_aS55jQW9Zo0O)b1CgxZIi5@)Y+VZlumA5LatU=O!{
zbe~-aebbfu(=Ku2TF&X?GBHM=<GJIsNsb_XsP6X_D&)bN#Bn(Zb|avz>ORicB8bl(
z*aq+X%8MR;T#eKeLwF%=(6G)Sh}=mDZzg5=@!4S}>w2OglmrE9R*eZ@;!I2N!BKvU
zxiXVBQ*HpUKiyU&dIWH7$ua$Fg#gakGxcq<Hh>F9^s>VS1+Z4A%Pllb5MQn6Xw!!D
zVM}%IKIatytP=h5#yds`t&AQy&qwIPkek&t6*WQpg$(1Yal*JM)k(`wQ6ILOk!r7>
z7Q~lHF@Zf<B6!_#+@6!}=hQO~;&;CnMEk%89fxb^x#_O9QzK3f+>TrJDVWmvpm{LS
zW<eC$wCv5dfgaR5-d>t|C4?#gXO;QQ#nH;_z+~?xJur=~s=DedjFQDdowOVY-0Z(X
zIMSjE16MR(^Du}YDfDiEF*gx^ELG(s+|q>_h6}fjz7oM}o^E8_R4J^8$<vz;)`drm
z@-w$m2q^YnQ?(pL2DNN8IQMwy0@bY4xZ<2B?q!Iaa6V4LEx`3O(q0$3Dl?Cz2Z-T)
zz5`;+w)B7C-FRcic3sFHoEw!27sry8s|i86av1x~e*2wWx}fsdV1qeN0@rKTs;kLl
zwB1l>IP0SeMb@*E?H?ua<bwd)C<%G2imFtpOVWh`F4n=fVp7QL5q_P6pn!XS@dZSq
zE_^#(^7+e2X{3Y?-4GR4#6htprvI4fdkEW*tLTxzjC1aj-vpG<JV(BO?5YRnXC_x3
z6_HTsHP<mBw=%N2vw0W2)&ugB&$&%UWO3}~`w(1L#ye-&8tSO}P<_WuU7jL`Kg9T$
zXyYn4{$!*2ZKFQiK1kI2Ju8QCHmR=yUQ*CHGcfL^j{$@_WFO;yPR4H5#@dI$sz{wA
zti6^n1Sig<N2{Uo*gqfQ%OIhKKR<B@D}FJA5aT^@gQf~t`Sf)YHA@XG4zu19dt?Nc
z%J2WavY>zqNuEzUeyU;fZSEt+sm4&}Jg#`}wj%Pj7(0CyQpcqxmZ_5=Ch+-cEG^Sa
z2?-sn9J8$I_-3KfW9B#&+?Hd4o;N5VZTBBeQoR~_N&Yq5>R}3DpBLt%smiG0(!MQX
ziyDf%^0vm?nE~TK?TxYwWh}{HJ;I%;ikIJv<($zohb^!BjyrTJW3La0eJ!Nm<KTN6
zk9la2Cfh$RJFkp_4Jc?Er-H(p+><rCXi)m-^Gfn8T{q$y&ZeI;#h<yg$O0fyXt4Iv
zdu8-UKeF_*RS`WY;YTwQ0e1eiaMVmtM)NNLE|0AgaQOn`WXL;!!-WzY_Z5{<Htte~
zOeq=Dv`>r#&H?mYE;+rWNC}S^kz&#~<xt_@>^VJd3veL$-FU;Ugqo!v%$QD+Fu2=c
zX_a6B*_+R4Cp#&kK<M|vDU?Ecqlo+jK?{hR=aamcq=4g|bK@rOC9qy}%WD<}3s7lJ
z+}ctpkM^oZZ&CTg&~Yd`V_+D7rOs^qQ3n~z(m9R~Toplg$8os-6yWBq&`-xF<S^`F
zNMN&*5QfG})XGEyh@UGauP)2t$V1*O&pic@ZQ|tYs13kUiUXejk1XcIIx(bs^PzLw
z^WivF0QFC;w##G^x?bwrqmspqx=Q=i{zTGX^#J5a(sQBenP0Ef4!WO9<?yopGKW(d
zGF@IDi0HdzuKe=_c09-?-xaXO91@lzdW&@>(FItA^TpZlT1oFSo@z62qW$9=c_5Dd
zhP^UPQmoi_k*)d=$qZ82!&NM8#L(OA@Xy3h7Gxj{2A9Rq`62Y)7pqkQx|&4S=cuya
z)vqy|zfV$OZ+y~XU8@MLoMA9ODa(SSBL;WAI8Y%<uc}+DS{Uc0?mj-{%!0+v#q#Pe
zO<=M_)<LgH2wenUxkw=kHgR1(yOYj2Z*zVzJo+t&Y)8FpnfJ4zb)l2W-3((m)Nn6&
z+C&h)5AM}}Phvw&$$vgk?8b2N+D=aKTmekp+@P<-!;axs>MqDe7=cVqoQOS90B?fV
zmghtcY$-iwTeWNmhhA#+W>oT{)XsyR>~@@J_4$&_#b87DDgS(U=?Fif%}v?kH@VQQ
zhBG67)c{P)dk$aH<j36cN%ABI4~~)xq->)NKwMNL#gm^OeJlrCR5Ex`MMzKRKRyEp
zIkZjTIU7G3wac$-$nfLu%e2^aI%k&Vx~2CC^CRaB*AEdU0esO})qB>E&Y#kPHJXO}
zm>K5w^8H`BZe?iWME8HCR|A(#{rU0jTE0HxsvvTdryU#()B}e+hKPa}{CL!m&=JNj
zjJ0P@hMy+t!GAGV{N%+2@De3Hkz^!-{;IC#hnjVvo|a~mlO%v1sa>agP7|;uok^G&
zp$i!9*t;eqh#r!`fyu8$@$sN<j~G=K6ne|T_B{|p(m@cVD2O9x$l*OB>pDQK*ZtP!
zA%vZ;gC1STmB4f#i)p?V9WbxCc{f>37<27g?kZ~#(O}>0AC9+mU>oz!ptcoZyeKVe
zcDG9ko!=9``b6l!__VN2>x2lNXtNBHxh8|vg3i&Z$8^BT=x=D%Bmqs;9geF#CgBGU
z&wsHVI>6MizXch@Fkbx(+s=Ek_{r7q+IdeMC@rzi98(j=<5KE+?RVvnm7hUOGC&8y
zQ|_j-_)Fjo*15|?56QTv&wcjl6&-l7|6zM$y(G>j6hGYiS{~;Ocgb+n=zyr}RO}^n
zDNIsLIWyU-fGfOyKdS!efP2K7Ig?UpJX!WL<JFuZwk%FZ_tJB%U#3w;mq<eCy!Ss-
zxs-9AW4c06r7nDE6fE4BBH^ji^M#(WD%j&(zB5Hb4{A*nqg7EBS<Umz4r)+vQuuk>
zK#d**`9Hg{DO(P0PBo=4s;gq2&;2Sqqz_xwlOm3sBV%#T!;nRS8U{TO6j7Hl07fa-
zhpoHhaiOk9ard|y67O%di<~w94dvkts+t1sdJuN;MT$BGpPXd#ZZ`yBw%CpB8w!}d
z=p0cjpn)g!w&`NM5hypwu4*(YqKkFf-BwQxWZ3p2{_;Cxs96|VXp2(9l-b`=mxDC0
zHSvJ>$4(PC81^D$grba243ry(95nD-Yl=_nH!2j5{&f<rruU`%i~boC>d3L>>B{i3
zDd-X%YfW`jP_w_46i-!0;r?A*-&oB-jCZ&)IbH>i7xw?uwNt|$*V4G7Y&0nH;5PX1
zN(KFm_bcussp2h9&Bm1l8hDXwv$NV&Fp#exVRw}ZW^<6lyAK0=KXd-nnU^Xk`8)8P
zfs!&d8QxD&K!Dr}`&*eKR50Upd+oHpBI@Q5D||UEz~oS{06|&>ZLHb9KhKp%MbDgR
zdrJ$reUf=s$_-_dwwjOgs+Yr^6BW9~-WFiwx;?^cK?%2|9#c6^?~A_HJFB*zw}7{M
zf~4GalrWu(c`eOI8l~o!_3h~T(PN|I^Dc^bZ|Ozin-&S|*0v^P_*g*Wx$quVUj;mn
zoA=V>rYJ@=B)u8fY5{%${Ci6M<gtZcYb^4KFb0QSSS1qa=kiXS9``2WGWT-Cn6w}o
z{YjGa83PELwB?U;m&1p%Dph&U_)zx!Cimt7fRgO!gUh>QQ7dLcu;LRJeslYksO<)D
zhmD-CwS$C<-5;o*bJ+0)r6kdf4?raP;5peF(zv6jDsXL)1+Sk;+)@}ugBaB(;l1TV
z)LL1&>NUcI->;9=RrQ)fLqba@bH4<Bn^+g^*v^QX3!3%Fn&v=~Vt6SkFOITbtTRIu
zHzB2!vMD{*49c?ixke|7qSUXFhYd#=(8cu;kMDpfnD|Pn4hj;`q%F8DX>FtSMcfvK
z3O!TkI43;v@1-#2(=PtfeY;WHV*V${@G2D&|4!5r>D*ku<LvgkYz$Zy!nx(zv<Y}m
zYd&4_6U3?7n1zRj8PLAETS~{y1d6|x8vF<nKtqNq;ej~@OlP<g<MYTEKCK3+vE}ol
z?AXeo;(MD=Ra}+%l(;cmIK6t_{R1DWJFP^1jAld`hD&dPVvS(LvoFOiix-a<%*EPA
zFyY<Lm*3?6F$4{6vjqF=Jjlc*{X#U088=Pv{@Ubg07pQ$zX%l7Py0KXxlwD)?7CDd
z3ob?%TD}}L0H)5p*WI<a5$}CUQIKH69X!`vh7TBkdOPQ?J8!vAsygrJ!;9>gwaLlx
z%7{LMgh*_PzRZPLj`_Do7&-A&G%;?(TOT(2Z~96K;=;$4>vqR-xzKg((f8GPJ-DTK
z@!|-*7o|=lZJc!GLC#zrXO?I^uv)Bsce;ZMty~1^V^sL?RZf1Vni$<@-t+UkH{nLx
z1hIo#uJEISAKTZG3SC&0QxDT^;l`OTDywUj0Jgu<>8hb~cx9s3vQ88a8m5niX;uni
zX$80ClO-L9cy5Gw2Y7LWKzzsZRS50P&zDXX>VUklOMj{tAC@_=|JkZ2g5}SCsMfpa
z!2OA1>RLAZ=+<TP&^UsC>S|HmF9meq&5N7@yIFqxbpMXK?u;lJY<?Z>+NllIAAR_u
z$^|gzw9@6^AaUdv<+riAr47>BTK1L^g2>6Yb3#pA5;rswO;iK4A*zV<OyDTJ5AGH?
zX5CFhk4V;<ksaE=v1hAc$RS}o#}S<AUnY$+FMf_X=xIap?}I<s&x+s^azkhMP7*5P
z^lZ42HvEiY|6!a<K)&VeyAJP>MY{lf^{aH<uyA$m>=#iqTOqT>_{!nRv6-^h`q~ic
z_dIo7UmPV4L>wR_lCkSbP|2y?+Mp3po;_G7f!mcr6F)tbM{CN7R)HvOxHcCX`hh~k
z-eaa$=6@(4LFdpLg?eo`#$Xku)gXnra$6Jnm6R~i<F>1jm=5@r4-fPP%ix$9W1*S1
zGLpCd)p;MK1N$=z6dChKxb)p3tG`GEpY$E}vSX&_^%<7;k_oa{^j=#i<O>Cx|Fs$X
zqW8Eb`^;CkLgmoj>&!qeC!O=JbH7P-pmTyyJ!i>jGQK{ZGFwPi#|$~f?0lj=G>#Kx
z;J7@N#8HmqlQi&f(OU7?CIfgn$-AC(NC8FHVpSWKG_afa;Q6i%1IW1Y;ofsPKQ}Y&
zV7YNelm7lmzLSDRur}98K1lB!jzhGQ+c>q*@2LFvC1Yclcv{q7CaR1rUyT<B<+N~w
zQc3#cZvt9o*-^*8D5JztLvxC#7XJREy|$yA3N}AAH8&@zpujxA=USsC&i$DEMg3(8
zaNckDuOtO$0P6M%Xrf;dxrIP62W#8<&>NR2cy#|tY6rUpeoQ-L^KLH<zMPj*`}LlJ
z{vYo<wpXa(i&!O1eq(@wEB5Rq-zoTX%Ja|=K^32Ah^!bs1Nd?EB}YXM1?x`mQ5Zl4
z?`u0sM360Djq{DU({&1lYhBA(r7B_Ic;MjX5DSQRB>#3&r65mC{LOO`3ix$7bAMO0
z1su6^*k&f3o@@N^Mx8(8P`gx#Jz&BD#`xl$Dtnc&CvDk~3rYB?H$G(Vss)(&&1UXi
zQo@+^J=~7AQg~)0XLtFs1w8%z%Y4^AMYL*uv47rC92ZW6Bw3DGz!TZ01urHQ@Nw!o
zk#tuCrSd+t_|{m!ee+fGx9{Zf>cxPkl)Zwu*Sp|C?IjC{9I`uq{RSEPcI9{neda|?
zX%(NJn=ODfCM9FVTMm6H2Qr4*IIyw3_g2CR0JG@vms*Ch_@K;I*C&|;dGwsi7w-a{
z!>uMexk&ix2D?Wj7b8k1+TPpY0Px&t_FH_X6lQ%OG#Q**ueIF4-gkS71{RHZckS;<
zqU`lKwPC_at-orR!K@YyUM7m1Y0DNzqI=+lp{~ERU#|LG{&dzH3fL{ilK&IM+Px{$
zy@?C8MjfF_<SH`=RV-8(9T!2P?+G#eV!vy{G+DJ28O^}QmB~TEQW)RNWEUpypRdh{
zs!026YYMS;MUJKQf=Dz7j`(OWUn|?<F*KD$h5rEn0RR6Kmv=nX{};!(_Q=kTYhEty
zaE;7+P(}$M3ZamZjJEh%A(295L{di6ETr&x%S@t0Wo3tG*xS$V-}87sUXRB)@AG<`
z*Rz$kxy{~>AN_hf@=HEt7UP(?R@O183ynWBWNbD0(3hNEvnTd*m}_s{nNCApP`yow
z`f1982vQySqJi@mnYYebEJFu8s5=*8PjI7!2i-9d9~UqpTXaUl!fxngSsmAE=0wAb
zNd;ShOIX7FlFhG<yCH52?-hNV1I1hMGld$hV2KY0=N#*_A)b+bcuboencNz^Y(ihd
zzE`&21!ZmEy}*9tw=o;)R`__Q-E#vgk(?<_%Fu$?_czt-BUurqdo$^H$riTd=<}Z*
zw-y*_62Gy|upq5W|G;@3Ms&eA=cIXzCWwkhiRj0%pdZbuU~?FUp4s5VDj77P{Qa`x
zMGF?x7}+&_=>-!itYFknh|++OL+HXy4Hks2wv&G<&w|!zk-nX*8ekX2#9X(R1t~5X
z8^k?fMeK3x-M5oz5F#hu6dB5bs?h;&esgvdNOzE)m!g3d>sD>;7ZxO}K=Uiu;y}hf
za@E+&)gj02!F;g|EBa9PE^zcS7fQJ$tF>&Q4r7zD_eOuSq9*Tn%d(ao$kZbI=iE3I
zA`-4v7?-diCb7s8!T>J{oO5c?yh;T|93RVO3Ojljqql$G4u154Slq%)rNU&_NJmCG
z2ja?{RMG|k)UD_#Ryja{`D)|I0mO-(6M`QWTopv2`}vGYQYnyqTHSPrhZ}7b#veQR
zO9+`JH3#_|plr|IwfJxJ4x|;fD00kO7~LLhBLwnNV1!@aCtZpcwH@s+J+dW&*o%gh
zKb4bVEg__$HJA@M4AJ@oE5uOzc#Ie6Fc~801vW#z{K$Xei3uq|0$Cd~i<a||!80`I
z;O&b7Xei}FA5Y{i^pNZ&>^?w(g4IvArg8*PkFsA+Te>t#=9jXHZ6HCn|2l1?UkDkb
zDZRo?;?Y+-BkQ_1BygX6BonM9j0l#TPdr3qQBcmyJ!{)K$^8F{PCOPttHuv<3LWH7
zh28Z7Q4(ZmUTkvl&=x~8hLYLi1@b7WBJ{)0P%;SUSN~TtD2~qje!!N=q==5&R&KE2
zDDY#`mhD)9B-+gJ|8?RN0Ua%17vprHKoxn*>t&1-n)TZE0XL|GMlue02zOB6Z0$FE
zogp3>bUvqVI1mv+p;t_tsBqU$eW=+~2JMs0KbqC9g0y5l{*A?L?}Jrv=g47MB=u&z
z=7o+LdMr}@-_=%ic(Avi;OA*M<Qd!>aql(>y>#wgi!7qSL2l3U^C|L3ewO_Wt(%Nq
zA3N0ht4sq9&V9P;Tdsh@Sd5*QFHq1wa=wmzmnQsP;bQ*YsfadjFbflYQIOlMxLOWj
zZMa;%_Ka<efI603%47_w$kyk2@?g+z2+A(&-uR`20>7tJUG}4*mtm6yn}a$~^)5S}
zIG~LBL`U!bzfO*}Dr<1lgC?&{^4%9iwBeIB8L2}>SE3#ieH+yWcde!ChkR5}w8ykT
z`WFg1R&*ye_=F*B+|&PEIIDt&_&*b6^(g3~QS^hR?{s)2pP2UWfGSdTmo3p4AfZPo
zg;D*P029fVdhefAMF-xS>-kTqqW>np(R(zEAbDWne2Awi3Q%<E{qHdm$@I+hX;d3Q
zaO{obB?(p3_|rW~ouq`UZ}1h^%Nc{LW}E12mI|ux?>;7ST>)8Fn3>E48H3xc`~S>-
z5|Q!)Rq?tXvdBZi!`kq^F?{tJ#>#L+B*_<0_-{8JiOG(-b-pl$-OS9dPt7Z#6Vz){
zdz>VY#Df5b@FHWF%U}QTv4Mb;9#6l&m?4bXg{1MK*Nx$<>*eTA7Zs6csI5NZ9sy+4
zb?yn9lQCG9nerq`C?MxYVMYmGxe@P`=AKO<W4K&*_0X5+a%k;mP2@f`Ry3Z-nDpe0
z5n%Bj*Z-KyqDjxaHnvw8kkeMX&BYT&pmD(VyyXxck+RN>&(tqrsWCWG5R(zKUBB?@
z4YM@*u+!yKkI7$bN$5FACL2Il=F2UUW0Gk2evHt)FQb@g7)|G{I>3;E^3TlyF{GZX
z_n$Q9H;l=Ct$r(+4rx!b_?DtYkbJoNi(k#nSjxM?!KGS5;20zy3%A*cUQnN$><fB`
zX%#mce48<Vc4v4RY$1pqWvAL|oynyq6*rc&${4`TA#QXofFEh)ez3YTP)g6=FI;`u
zNgwW0gUR0Eyy#xVQuMo!Qu>)&VvkN|=)tZ<lO+5(ZZtkqTwgwapT37Rqr0(J7ap@U
zDb>|-plH?Fli!(>v2?vio@jYp;N#L66tibT;pxh)6Y>?<owi$7GfwNk(|kMQ1R4vv
zqnTbeR?>(?wpD5UY}yUwV*wjdj!Z~N>a^(6OeZ$SKeN6^YBzB8r=R{<&4_aCU&&{0
zbYbWA@jQtQ)rQ`$wT(|47?7Hq-5&<4K8!(tQQ^OSEm)_`71kfz!~)JdeD%h62xG`C
zacA741*U>8M7}z%W1)i`rWt4yOV%wv{i|3LuBZ1j6RK9RD+lr_sY(-ASjncSsFWsz
zj*&gryjL*s$#Cobd%v(n3)yk+6b-oX{LiA3$1*nj_4Nvm@*nJl+jBjPecSKc{|Lf)
zOPH99`Hygqf7p-F2oh@y4Yn>abv4K=VH0~^9U#)@FynS6ZzU!g93S5_z<L(3_>B<l
zOT-1tY{`amXPi1*-`Y7O+qQ^xyA=8kD=lFKs|L^OxYgkr%ka<o=|$|-L5<($hAWty
z=S-wTIu&e0_kG915~h1m!hbbj4Wr*uG*nQa0_%?8T>)>FFcU)!QXaN}6`t42|6WOf
z2QTxmOQ)By%;Hj(LU9IE`%$<?*OCI>O;UBwt+#bMG7XFT7}0dq8<f*VhReqbq$QnJ
zvB2_>+_#@_$o=4hRx@TYnAV(~HA`K?9*;Pj<#k|2DZgngxA&6Z_taj~!z=5UB;&K;
zmL(Px@Onpd&2=?kvKf|LPTs_tuSA=jea(h)8kb%$45~um!ZWQRH3qbv8J6-fp96U-
z_s_r5QH39roz~fEjA%Xl-u~VyE+l{J3f?(e1!fIvxF;=eXkvYF;QjIrl*0PztUtR7
z#I@MWor_^YnkytsP>T=kCe}LN2`7TyB`qzVAI#|TW4>6sM1Ith<}6UTr3{AqOI!#?
zS<&<%Pv-nh0i>QHZ%}(p87?b{9Ccw}M-^X2E$*fYAx^EfD?^IPaQwmL)<5q!(8tw(
zBU2W_=-uLJ&y-FjIAa0PtPNbqrTfMiBZ4TxUK=b&#Vf&Z;^8Cf6FbnEEUnYlYT`&S
zrbhjhof2rdXm=Ok`H;C!P{Tu4Ni_fc*?bO72@(g*V<x=$5va{L=hsT1PRW}%1{Edv
z@IkSfyIlbJmF@|ZF2p0rGfjIG43vO>aB^VYN(ikhjMo2VkwuCWpQzqbN+5^gV^7TP
zMDf1Z=#_9ebl5w}G@@P!szXM1u2+embNM$v+~rk3t-o|6m<_i3GV`lpyDx?Ua@OC9
zzf?pbU-*m{#*~31Txl3kEP+@mPwEYyQ$pqk`;Pd(Ap+A>dDO+hU8t0qq7}cFh%C%~
zxK_TYfU450_W=n!5;<smltES%1-5g%J3~=}9qxqI3`ZHX(m>j0&P+mgS>80h=p+Gi
zzW=T}d9r9CTJ@{Y2pP@3U+TH(N`br|{Rw~9<<M)I1&`Tx3Ob<EN0Nx3!g+U!2hCjp
z9a<Vq*jY|R8v6!$Ox~#jE#v}2TdN|9yqOw#?2I~EHqy_JHPHY+S87!|MG49IjqqI%
zq#;hdXFDUtHQ|J<Lf2xlGTIyZ{_f8!G<2U&_qJE5HUwO=*eD+)qU+2IIMrqv`nxAL
z=;j?As7SkQyI)upy((}Qj%}o&44cS4!z?|R4*L3Q4?ztLo&G(%Bb0`EvFx?*0s{zW
zu&|tDCm~(JVDZqXI?8@m;PvV;9b#$j3@fE1#Kvx6M_^P(f~TDDX72#{gbvSM6egpA
zk;{^AKU0wG-cxM?MMm(+drw)kIvEW)x^$SmBcUnX+Q^w;WB8KR^lF8HjP4chIVBda
zf`Xlrg=Pgz;4}aAQnn}(>c7)^$aRZ=`X79DcS$sXsh6+sm{+KwfOY-AfkX1hv1u-L
z>6-~ulb>|o&D-vad`6aBibqAh9S7CdO~4snmRW4Cg5(RV`|@1H(JBW{tY^stzL<P;
zRr#!pZW&|+?d=mp#RERF$sbJMWq*q4EKv!K`l;n)Y;mEs&%&DG*Gz!PwzGuhqloP1
zevmgYMl`8cI#Wt9f!R!x&C)b^RL7v6{ZVKZOR*|W^=>o<9j-=G#d=w!-{6+!9`+u4
z#IEjAYiSG{8<E$>{^F7TOXCWem>+b*;SU6t4kMWI?M*jvmO^1CIRA8y{-qBTj$Plf
zG=hkWWebg~+kT5+O|L6iqRTT9E?wH5vrkGnx5`@)G!Ph*vMY0)P8m2Z|6xBsmh)xh
zlkGw%@A2y8)`cy)%U`}*MLBdx66xKw#3q2G$v+l_IT<0h<eYbPks*ZHeYkOOl?RRM
z?I%j!WrRmXA6srW8NiQ(42i>zoJcJatJ43(2sfAPT4Trc!T(L>k9s*)ga$+O#TyvG
zBX0WEDL#FuT6pK@>4Za?j?&gEF^mxK2O}&Q>p`T(vi^UQ8`$8{HY=(!BiQq>GZg)&
z3l5LYJsay@!uXro1)kM1KypW09yihfrO-HS+f%bxo61<I_W=eNANN4196I3hySFJ&
z=NERsHAH%-ev4k~$dml$$ZiPB3wGQ0WEczE*YEsrW0T%TsT@__-v2$A<nyDF-Pm`B
z$=NN(O?v0*;>>YwZAg3IE?vH>9xHGiGS&OGL3cdSoG28a1ut8L8_V6F(Pip450_lt
zpexBoHU0ad31xZ$ro$iG=^jZv4jQf-bdlE0j+dYb^WxBOe)l)}@+SMMYknK_ZXLa0
z>UK^Z4Rxn~xj9HL^}=PoezHNwS)UUpDQdvJi0>=&C8P9=;#Xz+@tgGQ>BN(9_h>L2
z84;0nd4e9oBYx#-`zGD*jB2C!E*c!$2-nxZPtzrBR!YiCx9D~b$;UqCs6)18q)q+p
zKlJgepAtOY3_u9!cSw_0hy6}MR?#8<=vg-|eOD4>1P0@GX3oV_xc@FDxl4AAZYQOp
zmEO+?cgpF9MD(dpd|Sps|NT5Yxu9VBVhawg@jTXTc~5~=lP;O+@I`vn8Ipq1Cngw9
zOUgRsK>`1qJHgBb%k*4ZQ7hPD27BpuOoUZ3G(`mL&)u;~w>rXKn`grc?}r_vQZ>n-
zuQ{ImYhjJ98R%sZ*~$i65BXaxLr9=O>^0F?+n^g<R$H|7<$&kDijkR3YH(A;gUOSh
z0lKwoA5Cd;L8OgtSEsld#BWZk;&d26pv|t$m%0N!W!qM|g{VS%N1Lzu1suF3zDhN9
z<Au9Y^B22@RN&7BqhM<X69k>qc$+`O2jf8lw+8H0Kt~7_ml?CbBTfF<Mv4G@+T}~L
z{!9eFn;kJ5U952aRh>BPo*)!e_dZf`C4$=7=Rf-r+2ORqqgH+LPGF9<p2=NQ1_Pm$
z?*-nR;QfHrc<+cXa7LvosN^Wao#&YupZvLjZR?bGb*(70e0XLY<)93WiqB4M=J3F!
z_Q@BUNF18I$DS3-C__xJT;!ifKFImy&+hU^5>Coiev!Z_gM&`vjqG-QcuJDF+_O&_
zj@u3&zO$+XM>rxzyfp;j^MtI$^(j0As+4L3^C*Lo>cphND<L=<>2v;;nJf&7Ec5#q
zDMMZLPRk@WVc0BKOS@Sk2fQ}Io*&Yc;b}z79lW9_7!z`aSu7Nw+OE|uL6`_<WAe25
zdBve=wz4eamm;`aBGlp<h|t+tXfG}y31<z&ul~8O1X;a_sfu|j@VV1)&UT*^Wb~h6
zb@d@av>4YP(^^$vXo!(mJAj8EU50mewsTMQ`l9TF2njaNMKkbUk%2+~iorl05`?|a
z+<&f`4DL1~q0Jq#(4EM6G^n2pA>4JF6Q3z?O=m4AOI98TVYCdl?Y(RqOg=t5M+Lp#
z=MQm5C_q*M)9_jr6&^Ki8cQ0|K%J~(6!1e4nu0W{6m8XE;`^NMvvLjiufm(DYdc>A
zx1W3#Hm(kVwzquVS!=-;-@84WH<dw*u_=tzng%TrdmRq*?}oaMIiU}_iC|x|db>A@
z2JyF9HiG}^z{wk^TV+cHto$+)*3Z$PZRvgieMApbb7*ZTI5prXiWGH}r-5i{uqbQ4
z0T?9^r5|*wK|1%jH(l}SP=eo_%k7}U4pxuh>R=KKIs06(%A<nQ)2#Cqp8-y_JUo8o
z9SK}}g!?2fQow0+NA8}dM!?n(^0%#@1ZGA49YJ^!WSjq5&^ciY?<uvZtNA2oJQVME
z^dAw#HY#5mZW;s6=C?;h+wal@s&?+UOn}2X67x6$O+Zjl_;Zb&8rXal77JRI1IEd<
z<eEwo5D*cg^6pWE^D5KAt7q`AHJC>K(`5qu>>F<-SBYSz89yejEDm8UFXw$aO`yWI
zJ5M)K84_31-Hwb4!YiKljoA-PU|!kRy?uxPwh`_^-{QD|IvnrH>S+S1nQ2`Yh>9>E
zeapS%2@cYPs-xpLO`yN|#bU6RJWL#Lj&Hg?PY(!xRsA*B7;@W^rslF`q4`sr9I3R2
zE*v7St*mMcPjvCZ1KVUUaqZjneJr0a;;G;2Bc(=A<XBk9V<rX9;@d4WFHK?ZtzK~?
zs~Z7Vil(r~mN+zWQC_)r&tY;keriL{0V2v?$Y_p<Kx^{psQdSpG4HQWCY!VX{BHzd
z^i3h4^;Qg1CfBfxhImWi5IT(SotplBKmacGcojx$Y+%~!y(_DUhM?+fr&0BU7mm#Q
zR+p6C!p<MD&k%TM0AICve&dw6AoN9>V9%8;OzogW-?KJ-@aEk#y(!2B#E<8`z4zI|
zGCnOGt6kIs#?J2UL@y>7thprcergjNa}_q+B<ew}%Nxr^Q3i;bvRu;MP8<lIe~80d
z7k))1C0w#xrDw=r?;Nq&z%H~53Hd$Ifdt;;h8x@q^pl;Wa4xTPtZKnU?eY9>`11ab
zT7$=5`ct`~QO&S5tW_(y-)`@2$ir=ED{SALq!e8Pj=WW@Tj(SkL$)@EYRlJ9$wTzo
zN<l}qkrm9*!d=vASquEsEJts;cG2~ob-$#VtY9O(ZdWFcXhBor@zCH04Rj1I@1NGX
zjESdjU5H1TfVZk5o>>Ur{*P+?mh;QlqWPhpQ!3jWYHU)!JD>rxa;PaVuvx~YrKpA9
zvos*vvG?yKu1}a&eL+W&!!nk@MYL4l(}2($9$e<R-!UHb&fohImoXu`7X}6KG#Ik~
zdjnYxVtkcp`?h{BW6R7{pS4(Mu-H;w!F+85Yrt`~XGX7JM-=^^*2JnqpFrH+mF#g$
zx^@gVXS#~rUw(|2;#7yOJqP@}k|r@}(~o#AgEee*9Y1TDN`>!YhmDqer!kAnYX@ad
ztYayJ<sAemDje3Bc;j#Q2h+rbWVbhLU{gn!V#|vtaA)C`_yFfW?AE2Z1GvLmSWi9V
z4FLsoG*5om_1`QO-u|>dEtLUjv*|e<FCl}`$3GWFR_Czze-p71>5PbhpAfTmlmtD7
z$Y?fx0ejj%u*dB6HW$`+wO`uyvt7Vbp?Q@hto~W{j5s4R$~F%Pkn~i8P=gg(!o)Im
zz~r0Ss2>Y@iiO^>Em4JLp-22j8&)yT=)d+xYpjT}_wl1cI92#JQEjPGzm6sR(S0Ic
z!H(cL7Z!9>1u$QiuV2SEv3-4}l&@Kwh+6QLnWdfxzSRubud^A@hLTnKYB@JDbILfE
zq(%gf*QdtRelVh;T@zbZH+hgy%h`auJY{IIp7u*NU_zTxa+m$<`OtX10xz??G6V)i
z3--KXMr-6cHFH@3^qocQdRmDR+^%$-BssC74?oX^*yRhN2y%b+88am)^_{C3mSRT(
z=Pwwj?AwXV!@5^yrU`H;&|Ll!HzzuMSLJn#un20E@HNf8PXOHa74yf6+{h=S!4J<Z
zhB7A}t9g18Aemjb-8z^Dy|y7xs?;P<g-h?}I3Pfq7pM2`i+t#3!kX3Kf4h)9{^^Ng
zG6Bw>&YctZ!jI(ZImLf(N+X3-xwGrq1h|*u-?G<A5M50f3U@mqgOZjQJw=ah>)f19
z{4^niTp})t!FyR0R8hukkVk;VmlAAQ1;VI&k^K(YSssn;YrSg1s{~w?LK<dqqDWim
z&5fHlMf9bbdi!yq5|lsbbd|d%j>K9H_KnmN(ESbJ$?Jj2z?iW6%Y2n2qWTp@A5T+8
z*0@}1VGt4Cl$7^3a7d%kUGZV9p(@BW!ka~~Oa(e5MMMuEJQ|$dcX;Zg8u~FIx}>&S
z4RY@^O^ff4MFXVV^G>d0^u}$mRB;Cx*v)z+j`+%<*pT?k9QhPfn-$G(m_-4t7HjXF
zpXAYaz<5Dc5*4|Yt64wjqr#Z=N;ug>5gG2z`Woq>j>wnNm1HexP<VE#l~P4OJX%d}
z*Cl8Om(LXGKdAwci?z*Ef->UZn^81-Mnj&Xz4kxLv_R}rLtS?Q5m82+pNev5AlJJm
zEAhFzfwa2j5b#X}G0Zq!3@2!ya%Ju_$DZoKnE&xbJr*^T)xWqnvq3}iCZpk(Tl4{+
z8!0@`LPC$MrN2bQ(vXV!gJsf~AzZWcDDv$jArYg<5RKRBsQ4+%`~4vRL$~c_jyaN%
zLsu`MFPDnk8mbfB0=7Bp_xg>Cx5?<QZcD}^0}7%MeLIrPje#*F<@3U2GJ5x~7Y*vE
zAtkSTuGTGMc)K&b;S8RP_FB|6h2|@xnXoR}Y?28?6l4x*_>)jF@6pr2y$Z-IFS9cH
zj|pIutxj=&H5Ar#R=|^876~}3TWZMf0X==+{RT>^h`eLzaAU3{dh0MH-mkU?`uKX!
z)1DGh&OwQd;{`iWkGJT|EZ-gw_~u3=F)E{rmHbXSvUpHeuegcrXA_WPjf!H`CZJ3G
ziyS{rF`;p5x2}{>6L38ux6l2E0(#@s;BH<shuJCxd0F$BKx|Oelf^S~Xt&NSf@paM
z7O4L>sW9CbsvpTL>`IYAjky=_c}&Cffjk#{kFYVEZfw1~cv>3iUgOO!7M!DBO%-QQ
zOEm)d2Pc@m{**vtQw{(1Rj$&_bFEGeavMR0Yk0e4q9___<#lqFXMjRNp!WW&0Pd*@
z-Q6BL(Iodiu3G{)(Dl^x-ed>36yuU$ab5rsqyL>)uwerE{+~*HVssF5+?U-D&x_g~
zUl{+z!VDrOL>#CphJbsUQe~6PiC!O1n)_kP3?HO+=-8SX!0)<LduMr8B+abtsBF&+
z9#8LiDV)@YvpYpcKTF^c(~BF-jxx+JbI)taGE)!Y@@f+eme;X*`m?x#_e@}V>S)H^
z54v!?GTB%sbP>Dr=hM_xA0`+R9jXuG)dgJ4!c|J?U#z9y#uzqnpqA(m=jxyXvV%?B
zXSjc24Fe62>@sk0KK@&(YyNIHA>3MARo08`lx_(WH^go8?Ah7%Wo_Uz%OE(VHe;nv
zFX81E7~yoG2d&jk8=e(<I*}Nk(%&^Mjbzj_LXD;F*P}1AVET$z^U=5ubZwou#e_me
zNN>tTzT#S7dHO});ITfsUXi$?-gX@w6qG24)r4IO)iN13N9Z2<d+~N}7(t_&m#=F<
z1D+2TSe)6u`%;O!m;~1u!8Kzz{H>n`ygfK^?w9Zk{YR<mflKx{_^iYA)p?W#XNklu
zo3g)jv-)q%C)#mPA>E}IaGVCZ!aJtl*38lcukOB4?8yXQ$8MjP8r{y__ay@ESI*M|
z-$*cMN-@K7Z5-2^lj`tHHx2)<aFKp2{od)d6=pEld+5o`A{EXgdYBpCUZyW5;POc;
zEHEDwY;!7(3U2ca1Nrf*^wN&^w$xp0z?@7CH5aEs6-%s1^ObeF8(ttO-<use7t0&3
zms8*pNl}<BbCbSOu!}vQhXYp9GVUF=ra*)a1BdxB1}H9FtggAh1<nrVUM3Hb!Ls6K
zr+O?S2xiT{<1*d>Z20PNVG<b<9@H%Bzs5o4+36lReO|y${Lp?GLxLvLxoTHdX6U|<
zublLP5AG=+_F^4Z1J{zoqBLI?xJx!SC5-b!T-5Q!7q)89)55v==O-&*R`y)w+uU|d
zGdecsohlSu&o{dg!wx>@CtpfF5Q6(;r*CZsRUz$r>SU5JCxrMV3!b6~!*bNau5;rm
zFkZ=cYQF+E#Fv_!tr!vkYm3>VB8e)%W*C+rN#TKtgkT)oOEHkWCA4+YNCix$hcdNk
zd~krJm(#660zTxnoCxPqft6OSz<w`&U>dzby574B3=EZ=%6<_c&PA5{Rha<r_mda7
zgz=F4jk*2pC=uRrRpI{=6@vWMAU|e%8K}V}oLXKX!g%5AMqSoU2;)g<8+<4W(bqb#
zA(9G=ou733qb~yg0{{U3{|uLRIF@Z3hVAV6B75)kzOOx>%V=pRp;8hml{Ar+5=BND
zQXx@BePyH+m7XUN6%i#NTL_tzjC}sR|GJLj{vFqKp5<rkqufPQ(OG3@btgs#KZG57
zY!;TI+r|7#e3BYcO}bN?xOMT?VSsVwn>1wUir+{@4WuOOO$vLe3-{x%qy#%;QA3OW
zW>KMuwa#BJvER^x{qVu^_<!>77H2n`Kdg<^uLdVYAL(OqbFXJlh9df2Tg8N{>f$?>
zs@MZgI*!mgh91=_LHAkY^uZQAOnQZS-)f?xLdLJKmrDho%_c6LI%9xiwTlE<#enSS
z3G$tzDpt1@v)_)V!)E5ONX<7UKK`x?`IxK*zwDIKD-H|<=AExOC2NEa)e=!IUFx`d
z;8?Ot9|IOXrMk|M#+WRYxt*+`iH~JXp?=;>#I~N#9^f&BM6ZQtsgD*$G8{RDpD=N1
z>ov~T56!UaDZ{BRK^we>Pd}?@W<sz=XwA$~3w*8^$qGu<LCT8MXrXc@wEkRd5V5tw
zWb|ElM(N@_)gtBR!^Cv0xQd0C4GNUxy)$g|u*$Q4MyQ$rM)}^bXRQQGI<tb>U+W>m
z?^8+1ART=HKUwxy0{@DA8-@7wF}(TD{L~EtXq}i!_KUGa|9Vk%Sy6plxO8CWqZwV?
zJrQO^8Q9?*(~#-fqz8cy%y}11ZK%DKZWAuG!_0EintCTaC^S1?BHGolWx@VcldL`J
z)^B@%EKV0&6P)B0(^Q~XzUkY=9rjT2du&@7tAqOI!7opGD<biPfI{C1d#HDu<qCDy
zM(OV0Pi$AEp=ovg3USmPtbtRjI>$B99kMkxwTXr|T63pQuCvEMmJ2Rwhcqy_Vm4+s
zgfNw|gV$Zq9zWb`Pd)jh25mlPr86>ID6wfv8F_98*XuVv-qcq`kAE>CnKVx%&Ir(r
z-0g7WjqnYjv&z`~MbkQkb&NRFZ_ipWYKvNrRUMLDinxBzb?d?OCc^)l-C}g8EgqzF
zIkzRqV|Qa_PkQlt^4uNOm`Cik_@}Y%&-+jra5V^Bj4A0QZ#^=yu8jw}qFvAbyR;lL
zQzu)LWk$)-qt^R!X#o4O?ICkt#L@4Q9<KFyg50U(vRj-WP+YU(oXSQqsFsaK<xNeI
zXPheHZo1px^m>{%=e#gxavBO7RezDri8b6^;nwJXJI=fBsQ^BR?&Z_G`HTD%wavpV
z*9wuo9=qu6JQzIA5X?URi`-Ew`d8tLB?gx#WghqDLLh4wE3fb`@{!6O86_c0bUfa2
zV$p#ef4EM>1vyQVauEcF^acy$TEBSk?j#F#u6lB1xz`kVi#D41^oluF>K6&6^3N0g
zV`^9aY@H;}>3c3@becgwWU48y@DK60>!RS(l@sKfX|G2C3^ROsJ-NTDd5SPGWba&W
zGET}KvfbAmYl_XhcD}m;#|bkt1J|uyKgnsgBc{pyCSWz5D=V7+LEIgf6-o~tA)5pC
zKeb<Ff(LKAUL?HlC+r4m%mSbPATI{er3><naqNTH-#&B`zY<M|Zi6B6c2($`>&uNX
zQZC^&k<?1q<Zrni^>u)BIM#fxKE?=%=^AY()0&9K7RACg&%Tq^r0*fsIYT@Pk9Zl)
z{+_sVc41>dV?QZ;=U0LMF+({1*Q8&#k|Ml!Y(%nhKN($7XLfFs3275@{}F}zgw|h1
ziR!&RvQhT9&$@$52pcOt)+vu8H}F-bt=-c{vehU?X8mMf@ZZ`S!%@Yg<cGA~U9Nqk
z&uQ&_`vVy0>HYnBmkLD&y{xya59uRSv~GySEzsfil;F+@ctbL4E}NP+^pS%iH?|I+
zr{m$52l<!XYRTKW4qk~{`^iyA6$DAq!5G%9a-V7--5DOH>7w6B;RbVV{jCNFPB|R@
z{Z<p%GH=P9_wPH|_)%li(I|aXYVRnOw{9kL3R#^F$_<hm#{L|>{8$hBC-&A_H@A>i
zOgj0PM~2AK0S?CDVO^-pO#77vwvnG){tbMX`9WT}S+Fpmp$lIRk1q$+I>>!oI*r9;
zBjiAC;Y{a#9en9yyXJeMi+q^aac8XLCwWbCo1XPUZMfb+`uWjra%`wUIV*Uayj|JU
zIJlq%c|m*5|3Z36`JY$a1xqJL`s!mj^-fyYW~4H?L$RM^JIT1!A~Uu0kMi4kay3zQ
z=Y*%z_wQs>VpH;B?lc*yH>WAVt_kf2mu9v$43Y^o8{@`z{3h=|PB_13w+4E`58O}e
z{XufRR7|>HJ42pzl;-&OP9299#F$QMqojn)!_$`AW=Y4aH2Ym9>WI7*TCp>2j4VBD
zCEjy)o=jYE&_g9p4NU73v47MiNN>i^E*6tT(x2bf+el6g=fr0Av}H_^$5n@vx3jZS
zuDfDZmR(oHg}AyetX9)x{g}<Q?-$vqB9D_s-=$P>dumq6m-RQ<ddy3I&ngb;r2)rI
zmMj%WP3o!nPW>TOM}6kzwYjJ%TF5>xeHC#2sOzhim?c~D?DpG$o067$e<`d&8P6$=
zm6b>4$(brPAMFHQYBccdqYe*c2w1svN-SF>nKyTan$iTQ*UO_e*sv<2zRG$H+c*oA
zUi8$(wL^#!*lF4joUa5Q*ORLZBiX1d3$CJ|U=hkE)^ByDj}jp3dFiVK2X$%fg=dGg
z#3-dgz4shyO1Kh{Y|o~|MRl!oS@VKZoRTsSE60=~j+H)xpcyySz;P&(E+R?o)h}JK
zszDJpt(P(%M)Oj<PnR(%Cn>6Svx9WtOGUh-<vbYU6QG_<YpDBH$xsJX>Yv@A6wys{
z{wLD3l<!%#6Hkyl6<zg6lxS7NWmnH5wTDHh=GO^Vvx*g|QyVv{cnB%Mvwq*IOEO~A
zJlW<+TdPd1^WhwA-mL^1y#>WPV>Bw`_;gtirz%za`I(egmlD_)2J;GkN>C{+xwlPw
z)TnjG?S`{rm2pFL$B2@Q6t%6Z_+5RM26bPt>MZuCAo6YP<am$_bvVRZ-Fs1s3TgZM
zZXiMx3g>*wce2Y<9Wo01t1NUW-H7xQqfRyK5b;fO-la&f9D)CtcztR;XSYxEMGY7a
zKaa0&R-*oJzxqH6q*Hmpj0-6@wJ<JfZW-aDLY-w5E$Gf>P${;$mgB;@5MfWP`;T3X
zx?A5q(pt-;>_6AHOit;eJu)rxZ?QUMK59!l+G9wq+VDHPR-J)^s}s3a_-RrDD*83G
zEk;y%k;{;uup#6Rzqz$VRhz0)SfeSLWlXKGXWZOwY>cb7?|pjLq(iN{=VHsNV?s3@
zd&{eN(G=9P(G;4$9@RQ{)_2Wb6YBO^{o_#*7O1)v7tzwKPaP33Olr0_p+tqUGG3Ni
zVa@kC`IRDcD%8+?+@#c)da}^%*ylwcextSivm`n-W|kS1Qf@@W)|NbSp9ik7ujc&S
zN2g-miaxyQYDnFNX+u5T4(e!k_`%DdMnA{c9E)R6+hk;%D`5{8F&W>`1v)ir{;F@R
zU7r#RRoZ__(E%TG-f!c0PN%-vbYyNe)}{ik)o)9#cEDaaGX9POoeHY)I-jsbjVhwe
zf9PSXfTKWB4Pj+KMc)fHt30Vl^_F{n?DbrM(d?i@5@~u=TH(2j=u%0F>9*hB%xwkg
zMLycumFQ6UPd_V<92KOP&I<c)%dUXV9>JBu=~`6Dn(WbcP5;Qh>W%M;UN}HdDs)!U
zOM_}ZpG(WV`iabQJZgU!4)8KhYF{s|Mosj;TfI?ioRGL?o9Xh<9^bR7xc#e@Da7qJ
z;W)>Fq`d6uL`i%2XrwBMMJrNAa*l<zi!Xyr(y5rd5IdYV<!{;jpDgwE>s}}GSw2k5
z7e0+_x5eGb)xWkzFQ>T7;%(}Kg)r*mdM?=B7G_*l9U_@D>S?o&e)|t$ob`!4n^Oev
zoC??(&n`kuYHeLnohO2beS=|IYJgQ&?Z!%PK8j6#w(YT?D45Z^LwoHAX#I_{7TC;5
zy}J8jrHrX4VtH?Ie|NM2EpBC8RNf-#vSRzU03%Vb6CF{7Ue?GhH=a8A{1=(UTFP-<
zLKG3ADn$<GtPpzDvF!M*A##21OL5&FB9P{?nmPY;iBGI|=muLik@{SrS!!h>U~5vY
z_MWzY`sLtC*NzHeXYJiI>v$22oZ-u;w6s9zk9g0Pi`~Sg>>?45y&|Ye$_{yzV2<w&
zd{zIXMhT;Fjmg;!B6uF=<eBi@49?fi_&SqQ#Jh9)d48)!Fo^r6p{vc1VNma68ZblD
zM%_QE;wplL?72vmVpBx_cjd_@a-Jx$H2ysjB!Z5*0~5u{rWoJ#dF13a7PLw<B#IY`
zAm8oK-6grfxaHtOc{&^Hct5mW{3n8cTw9`!E;oU-+On&@!|ad>4w#|s6~)g<p~osW
zjq$X=hBNsxCn9Ef4$!}gLRixG;~Gt4<lc$<xk`5#uFday?tV%P#cHL#LuE$T_F^4d
z+DmSDO}SiUVbXB>oIJm@vk~-lcYaoN;>Dfo;@{%`(U836(=f+`Ax!Ol^6>QX;g@94
z`hET4$PrYo>q{}j_fL#2wo?K)d(Zwe$AAR3pQ{ewaxg?((ak%DHH1JWZ0-BVz8uf%
zCU?D^VS<pieyMXr7+KWjVk;{tY!d6J$t+=F_Pws`GdB?!E1&hxyC@Cs+)Z_~FeZ#=
zS2jqm5ykvxMU9=TvKaZzR`Gfb6W!#)(C*b@&^2IK#a@tuxkk!SA7v&kFvBi}Z=u1-
zu=$6$nF6?#0*os-nK%%*^%^rs971{=9iJi;u_t*`Vf8cvHmRpp$>mBQ^7PZEHiwsb
z{N6}!z&HchuLw8gK}k6Iub0d^sJ!Hv277w{GVmyBcfrt7?&B|s#f3l>1Xuh~vlnIJ
zuJKfFL$)+b6iqxv&a2|Qjc<6f1rv*g*%fUHviKZ$yErme4ZaV$D~1D@aQqtkD=S|P
z)(#u)Tf9{Vf8d!vO|O{Hj^+AezFq;Bc^kWWe`;WTn98Hi%7)k?p4NGBDR;P4Yi_id
z77UraZ8A3uaYCq;{fdVYqS}=LH!!skcG3FgEj1%_<<vb_wNr+!mGRo-6*^dytOyr)
zYlH{)3O>4NtKgZny6T6Oy2wpV?9PcY28+6h2_>eA;Z0{n^7Zvl;QmKW+SLTez7QTf
zr@F+~BexuWE&20m^?$xrrg%GX@SkLd8hUOlJGTC^K9at?nSWwx27&3iZ1Sl(yj#tP
zs0Dp2Ht6lKbT9``&}~EQXbt3Fd%s7{zyN;@Y|>PBT3~HbLR5{7CUipc_&gL1uqh-=
zJN>jJ6wVy980ygk>-*_v>b3gVJC<D0nq!6Eb50wF{j`u(%h-I~Kp%<6pQgK2TcgxK
zMmprP7LIQhv5$4sLvXBLBVUINx(*BVRm*6jZ$$IaR|Q=x$hH`^^$;j(-<IEOsg3k$
zRq9H~k}uLd2f}=TX3yrL97ApBWn0G;(X>$Bb^V>r2cW32-gg(9HflQUSnjOWfJ%Y_
z$**DyyF1HX2i(=dUzvvsH+QPxKj(uJ`*+)du61KqvW6DgeyH?6+^vH5dV4~4U0U+K
z0#D;xXEdRE_Dg>IJ|z@3s_6FIv&F{u5>p}N8dzo$v}^OYJbtS%vU3V-F|41}_G!t7
z%_lXyr!8e**24VBm1PUPLx$Ev{c4a6sj(5PmPAl;BeUa-Erj%4)){rEVtOn=!QmDS
zr@ERCIJ?>6_ts_6#_v^Nc{MHAr%nW&!G|8^%h{sG@wbn0u`<3C@@@^kFNoLm?t!Ll
zK(58Qe97xdOLwy6+{L535ZN&yEO`lF=!~4Sh*X60nQDcS0WP@22W1hqK#lvQwUs^c
z;0c>a_{YuxtD+E#x2*)KbUzR5`XUS418+_Cm9e6|c|K`akHGN9A@Q~S(wJOVbjx{i
zk#MsmLTn>!5TEYGvr$+I4kdHxH+&a})3zr9AJkc6NJW0P>UK#C@F@NgeLP3}>sW1e
zN6s4GmHYoiSBv97=ZCM)pUn~-Z8lr%4qKt!|8TLp8x7;O_sH>GvqS{HO8<`6mN01>
zyVkKx40rxTJRi6)OYAIgtdEzr#FN5DLoeDykmfGgJ!mjT)Vd3~TLxNShrZfc<B!6i
z8CL1IG3SY1U%^vPn#^H+Km63;4?_6cbEDx>%mQ)b9h(u|#2k4~HvO416U6-r$%zjt
zi^TW|{&(-v%~1JHoz1S3A6cISCw@e*AmDVvy_?I-z}i^u;r5abmpjAudBw2e(p%rB
zWkIHR{pJ+Uh9+JFg>$~`zRQL+FKcpjf0&@9M6Taeh8M$W?*@ju*-=c>KEv*9g4qu<
z3RPElFm6-%{vCr84{n@KUDsg@jW|yu9Sa^jywg_@a-9o)f(^n_p2kqQ^H9;9p9j@%
zXGY^CxDo2XAs5kSghw;(k^bB~SP{13n`Ax@)HiD}QVtoR^-6<Gy)F+fyG1%?d+=fH
zrGCLP3x;@kT+q!tm<KiKS2r)$7J$G1kM8}K43RaL$x=GRgZ0I(iup7l$R%?7M`#<O
z(6Hon-sz?MI{U-NlY|i}Q0X#T!^B$)=L3(e_|UcdNs{prKkRI#l2rVexE@!>XqMxL
zYyXYzYad0SnGW{#l1w~!m94))RR9?w`*Lmw)8P5B#i^y5fy$EMimZ)-P&jx{_{|=1
z`1fcxn4V%_VL)2o>K!3$nk-y)uTcVfo%Ys@TQd-S=$DY_QjS4wlD}%}a*)0&U)|(j
zfMbu>&hlL%Fv*FkKlfJ(#~f1FCz|NsSNO9$aFr-R9yyg6Kal}Xa){E?2XyrD86W#;
zFNW28VvoC$<e*h4f8=Wt9s4}4h4e1n;l=I#J}YAs5a8~ya#sW$h3y-%c_PJ8d)SI)
z#|K5+uJot~2%%##MNOCMwFDZ+U+~NgDB<mZ>?^M`bQF|lw0X)cNB6H!M(n~WxS%YR
zawV0HyzO%B{uia-oH-d3xk43dX&mEMU(?~bnXYUvD}yyE1(oCH)UZ!|J5y+pj-8_#
z+9{MQ!dLH}mu^&tfKA}u(hUp<q;2oX4wr{$d{NUM6;15OE_$=^F#}3-J^^tWim3iz
zks2SY1&+XtpW_)!m<y$E8I)GSUYY27HSe_1vh~;8Of?gV-UZtxB$Scgm3-v{O&4^}
zk{`XnhOn?b>UCF21-p1sLv%LiVU6z5gL*5B5YEVzJE^FOBN3j)YYyw9`L8q~r)P{0
z+az;rG}WNu=lfOjkO8upHLvvPCU{-8UWulsj+fEP&gd%Av2pLJ-)-wm@n5z~aD=u7
z^2QEvp7p1LcU}4FgQv}KUMQb`uZ$+b4+qwKyg>);Nmk^CH|9vUyX$2-tBFWA_CjRR
zkw5bM$+@K-D7xx<Lim*y+>JvmzlYOd^4|-$vH&Z5Y3Gt&+^>y$zP)z(dUX8wxuMN{
zsh89&)fU%}X=B#GEBNd#1Gv@6G{wjexZ=F!bK6=S7#I`&MS}YH+8=O?RR?gkF?$gZ
zrh_k*sydl|x){495IIl=a7kp{Q(byjTX&Ps@r*XgHheyGz{D0*X#4%(H9GM7YO`qR
zrHRh5A9FT0ZNU=*z1;8G*!W|uak`W`j&@0eNsibe^1zJyWfyG(r3*^*l&ipRn{|G*
zk{xz5vq_ewXkl|5mrvj>rKR4NzUgRVhfqR0cI=@h-i5zDRjn!ylUxm%`*wD4yzzOr
z`~wYq+~N2Aex($ai*)*aTJk9?+MWMe<JGZc#=ZFEQ*p!xJ^Z<u&kj1l`TD$D)u5O_
zRd_COez=#HfW&88oDS0Qi<MLb&nivt$ZP?)iCDC&FYVxl`m~&{4a)dhed`)ckQ+YZ
z?+=}{TiPirv;W4<E8&w^^2stcb{M*S{PSrTc=@OKJnL#jT<d2y?Hl+<h?Z>KpPaO`
zQ%aG)f5^)t&hgB{2lr<PY0(z3*9JiPrB7Xtt7Y(AZfIy%;}r2<;ZJR$bOI85x>oH;
zQmFYI#}>sLC#rKF2=4e|gW&WGwyj~3h_(#g8S5}i82;QOxJS$ebqBfKDig%9TAD3}
zduo6%n2$M?w#gbwqY3(#tHiLo)9=SR_3uRUZr=m!SFG^d`0iITby1wpcfa>It)B=Q
z+r4jXizRqy|LN~75MJW(zSEP-zZ2`P2gY|RSwitcP@UT|K^U}Ez0o;1K(uTr{J?R<
z0^=UXUpjj8gY#*NbH3jYvFet)Xj6qb4uw41Lu}%Oy5yS<k6*)t&~W?2W@&Q-r-VrF
ziQ-1kg=_hIKYtSC4-OBU4l={?RTC{wrnwMj&>iNgI6;USKDJu>#S}TGrTmq%IFZ|W
zdgATRN#cBlgk9zm*9i|?T5&g;10L<moBG<P2{oFU`N3Qhh#04H2BfiLXmyE;=D=^_
zaL$8u=`<5;B^pM4cC$eqP21n|{UuTx>pB%;jKL~tBUk6bhL|<IW+xoyh}Sua{zD5!
zC@hLDmY870?F}-&1+y233oNUY#)6H&Q0F+K_m~x&E%aVOfCYL6j7>T-hG?4!L_-=Y
z(i2*KuG`9rjrmk>df1YW@ZHFl$z??%LHNx)W`k!UjatQSi0-NN>*7ALf(RVi=B35~
z*WwlHjgy$zL*o{ol4XPTi#_&}_c@`Hy-6TYfr<Ae{Gl;1Y|w}Ew{2^e!9PK4yWCRm
zH5OiE`6$eewZUT1XSsOreyx`Cy7dg)^U%0eP|6MoZhx+uUA!<=AqF&u>Bvla$Krg7
z12b#<tQOn(vFi>@`x5C`W_jbe)gDf4&_C2_vnYrk*EDI*jp^84@I2Joj|=X<9vw}}
z5r*x>FAv7546ysX5TF0$Wr!HO#j&bK1kNUk(}Ow&@XpNF(rM>LTpS_UU@C^XNq1R`
z41KVjThT4;$cvcGo$+>eX$ZO~`nOL`A5q(R4dgrcaPGyXlyYMU*lfDJP3D0fn7rpM
zZcG(G=A#2AcJ@d@`qnD0l}o%VketE75-Ef;=QAq}i=@Em@oF#stS*Mj*Y$6DCyab`
z<CVHuGDr&FQ@o>G7yFNPSPTw}fZyZ7I+mw$Ad{2*15$LMI{9Main<uMB8-h_Qwp$~
zzuqtyql@FiQ!8(W(a`$fwVRfX60GF^gcl_1B7--3v(tz;bRu8pL>y6udQot?0;P*9
z)MCry5J~iCv;Q`GtAa%1+iHsfdZ^gG`|M*?DfAtP7(8mEhGWy*aVO5`VO;RsNc*TX
zB$i_=sz@Eqt(VV=D(i!#JSk%JXIVH%6DwLRG~q|vp_MnG54QoCg}_#M@b#@8dS0&u
z*1F!?7QYRkpyjJ6u;f{1z$ryLpo7%CbG^PxJ6m90tNJ@l35fwb8CL9icy%{5S9lu(
zU0gQ@jjNQQ*?sm}!;%N>x>|Tv$(#wU@NX|R|4~7&yy}(J%jnQO<}FLJGK53k-vl-T
zHFSJq6E!NK08&7$zhjGE>ysF7BV6SwR^;8Mj+~o&udQ9jz`lwgj?w$ZU?xqLncvhv
zLw!Y$a1{e>iLNPn5~kRlIdx=zjV4?U{Bb6ic&Op_!p3bk%`hv<$8oVo3!Dk^ZSSm@
zkhA+Mw$IW6z3Tp!lfBwd@k#j_skh|G+OutngO+HXJ}!B<QU_Mc{|de7V_<#a%_-9x
z)^PObiysWrMYmeV<!Vm`b~q_kKC~lHCY%5CHJcuiXtc!a3_7lyTC=9wZ)v|$wfKXa
z^)T^1pe%Kb0fvQy-?*#UqAl~un9yE5RBbwSL1|JKGUF4?Y&Ev{u(l+v*g_A4&yM?%
zj@ob)G9EA9U<YmszAK&ex_D+`Q9F1*16Peb**}%ofz2}Za<YalE_|~#UGP`Mn#~Vb
z6XxvTq!@Qyf29s+Te>vk4=EvcThH@)1$*p!67XJf$%l*IKa9A=D+d{w(oh>!dt8*~
z+qiB@6Rp7lcKa_#f<`5Kf8?`A*5~W7)t5C8?$W639V?15<sH07TJ4s)C%trJX<tXg
zUf&3l;fFv*-t@_2JDAMKw9Q>o#a$nd$IqQPU?~5bc5G=+Q~CE*X0WTk;@5Zelz=%x
z?V<NjRJ$$G)zbbX2Pq-@zlHKON#n#!rjgO{W40KY)5!SOqkzU&sfE1;odhjx`HTJR
zws60dU~p+l7Dps=ZOF(1qHxr%d2-3W92(|}*J?=PRbEezOLGHx*{HUHO%V{dc8swx
zS`zbn0uM4?c9Op)Uls`MB(TxekoHJW9OHMZ`)`l*k!+o&Wh|#{uqkyLZ$*tLJcB!}
zDfU6~)x(N><veT5mgcN>dL)c>O&5$_#14@gsB4!^KUv{sgXs0&X#!yDE;%UNG(^Tv
zB_m^*70PC-vL^L;;dsK2>8v+I7Pu<J9<jB=%>I$Q>oUur(Z~4R_<4X#+2>W38fgKZ
z2N|3H?BKxbVx#VRi~VHKHGg8X+8kWJW0fLCSs|M0ZZy%<Oa2c40RR6Kmv=PR{};!t
zWbeKA9-ohu{k~R-@J%XGgeawwjD|`o3YAhS5=oKDCbRdI83`4#M^;v(Waj7h?>(>c
zI`_O@_dFl>AtD@Rq0DCh>6i7gqHe7dm#Q9e^PV0gx$Zl<GW+Pm_Dwkvx9V4jLt@qU
z#HM=5IN4sUZ53O9@$?fJ;R}nz(~yBsoBnU4jz{786X7jziOS5LnDU44`MA{B*Y$;D
zk}>mcJ*NjL-OY2nO7lcP?`sy7?@i=Dg|BVefG&(j<k@I5&k?`cBmca1t0t{B-(vc1
zqYGR2zKiY*oFQubewYRwEh57cw#m7b=m3ve+{z}ONus{_#EwCiI5Izf%l8RY9mt8P
z2;^@cC+dai5AZN%5NmmZWuB?paDHryc5BfnaW>jq{}H8}=<cbjPZiUKhsS;P-d`Ce
zVn1`E#&8WGD)Z7JIzbDPj>W{7KKf4l8l|`4Jl#a(f9K~~7uA9~2VMofh#}%1Su@~&
z^fS@JH?sG83Ki&;HvgAXGDwt+onDM)Zzlp8zZgg=Q^8;JW89e9AYq?qyIK5oC&4b|
zd?T@d0`Y@u&vQBl2p1Etn=KB##O@!$Ps}YSAd&Y|o4ss+DC{N<?z%icP}kmi(qwAF
zhv>IDzdsHT!4KPspu<Ci_3yK{!@p=iDvhVGDcc}%n(N!-L-%3g>CkW6aXJk!b2}y!
z7d%KzFDUD1pByC~aRn!H>8ryY>!4y+mLVdRHC$;Tah%9{c3ZMHKn*53G+*b}4iP(+
z)NGR{Cy0uEHeRiKRXDOQh{65UccST2kZ|asX+rYzQ2N563WT@k6jT-u6SkTB4q=S5
z#H>Mx3BRQZm<untcm5n9*uED{F$d2PZtpJFoWG|G0WpG}299II&Tk3RQ4I6Mw(&Ys
zu?ZzOzOb8-d1##YN;1A%D*R3Sjb^o<wp0QNV_PqM>I8A^)w8cjw-$)7SaNwHO%Ze_
zn-xRvPZ1^AxssxBi-gU@m3ToGMQ}aOPPpR?5mvFNcd>q%=uzeS78<Akf5(()p2W=(
z8PkvLw(G1BMfYuV)Q9C^A}s6H^RYRiR$jRCa?d&;cvm&t%0(X5Sf$d9-RFrq3&OA8
zix!-{UoFjik%LOpL+K@JzloR&WsQmd=pblbIK{(B4sHY(*LBt|5WctioPFOjz~1^1
z{jn}txS`flRR3;~IG$K>At9d;3izwq`VPxNhv(^WrHN(2b5!d4SUVF~{N18ZxgrD1
zo!zct_G?6Gepp{Hl@*MIxL?aZkb#K3y*YNX>x4#}L2_R`JA{?0(tI$KfzKUE_d}1-
z!Vas@SNC^vfw2~&%e^sa*mlhD-Z=((xP3iE@#J@IsF)CpdhtXWLK4Q`_S7<f*ObJ&
zz$9LHC?)>Z%|jXjh8>miiWtG+dYirD6@JiTs{VU~Dh*Tqt-5aCm|(%h`AyG5K~U|G
zm22XXhP-;8?05<**f>w0qa6~4s~GWTomLtGHGW-pt7eDP6Q>ihJjI}Gl_zFlvowgj
zib%h(gA0<S8Bb+NNWw=UBLiavX)t)$Up&{z4L9FKmz1(egPM@I1j|N0`eVcXJ8$wr
z@tw&7Gnq1AWiFlNULg(h*m2CommgS#J~$5@m4g_$@WUczGSI2B|8$DKAT$hl2sZ6d
z0M1}B8kTt(_!3R=_J1x6<;-VodK{FXisOFW>c+o3ZV4E<!z>2<WlRj8PpLrDxra>e
zXyswJ_q`_56A8G$xL6sJr3Rbqd)}}4E5OI#Q+5Y(rQqKcqU`*-2BaA<?iSEi0;PH{
zsZFXf5XT}M9sY&_cUxrWQyo=+LyVSLrBoJF=t8ysbW*|4Ln^wZQw<(-xgXATm525D
zE6)$EYC%!#Qo`|8O%Rmv&zRbn-+Nh3KU$b|;BdSrOI<P*dNTQS9V?YUyh8Mn*dHAT
znGg`1zpD*0`n4-o!79Mx6dz-htqV?#cb0yVy0F_*J(pHe4g5<jr<j!Vz}dv<nv;}1
zytt}Jlar+mW2O?@!W{HKiKSDhA;S>-5?+6663_%`byeCBK|OHUU9s(jwFzjv({BAK
zOMxTVF@mpxbYXk7|3|F}0vsKZI!zu?fIFRd|IJ$m!Y|wGnKm$kl4n!KJBBHcHoQN{
zYf=jW7=E|Qd7DEChs%ZY>l=BNyj;i6Lxtaw6O(Da79eY>vPFN40`@X?iW=SO@Mgf7
z5@2ize}}Iz1}0D-g7&gJkESxDq#pgu(QXN#u-MivLV+`1Id-VH$ies0?pIFQR<PCi
zLV-c223Tv<MkvZjg2W%)>PNe+K)i=;*<MW@=+uHPGYbj;>bu!Xnp;84muEk-OjV)u
zquu3e*{t9vs4%=tV+9>AU*CQrtqhFS1__5fmI+xWR+gGXO9($&!*gy_0kC<~pJmB%
zqKoTh-(E3Ga8=n~7Lg<e1EXHfDd&EX3lmK`U!pA_00acZcFVx|+m53%+iCH)q!Fym
znS;pU$KOiAQeYnNT{h?3W;~wee|Oc%91iZw9^xJqg{>^gyH~l`&@`@Ld2fjsm~NpP
z*Z3j`Ip?oc-QCHFdS->YWo69Z(2HvCb~-+g49nN^CAm;np!>A>9e}W>(FYvPal!hY
zkdUWGx$!*>JA3YCfYQo2CzlWw*l9gt^Rt>8%X%JIMzIpG-IU6?5W@gr39T0!hq>|2
zk5c(20aHj=5ULCH_(%NBDEr;q!;P7IOwEB56L@;$#>Cm8--P!;h9A7;+(`LEh+W%j
z4A&nkW?yC-Ct9riFQ(k$MimFiCu31Y@Sjk~om)R!hzHWSdJ_k@anDq(^7Rjf&~qi_
zRm-0m^6ai03ri|D-c6d_<ileKSEmLt1!#uIJbQgjYYuMwX+rQP9WsFU%^hCB#?z#i
zO<;@W5*K=G%TM<u^?@<nZM8gWp4^x9^P2P@F1+m`_)AGfAAAbEZ_;jEBsm6Jb5AmG
z<JfcUM|)$oz^US`3EM+fN!2KWk&jB;C?_{-dwWd}B!0Y7*rq~*ALK<K*ozyxS9Wq=
z4bp>KcaK|}{H4XmCC0(K3%N0s=3fr&Z(WFL<hRt%q{kmel2KHW2M1^pPyINf3rFp>
z8f<MgVXr&$=RHq(@JX?+ErmfBbi2;2{q1GMT6NjNFk@bn39Crxy{`jnixSg1$C&W?
z`r93>bG-OGE6R~YLkDUaBkC^xWk$cQ&kRRMKAen+%^3Ko4SiCan}#A;(RT}vI9mok
zs%ni<9tUVc)I-{7Mrn3@S!UgO>XiW6AGozYN>Up_hW`CDs^h>0vHGh54T7j~b#Vvl
zS1tHx-AW}0E>x41UkG9l#`pXgQ+H#vU?#*e0pz(c?Z=lxbgm+}M?t|bbGH^Ocg4p!
z3-TacI_DYTPolVD=9o1rs|B}im`I8W@}i5FNXnlB;>g-vpCZ0Wg`vvksYQ7{yyx5S
zD3L`HJ&zr^O50BbIk|T?jIH=_i1S_Npsy5Ks2^*HXre+{__5QQf(7u~wO@wr`=zn>
zWQ%HEJr$CY6&s;M5cim!*HPIogPx*2jH#_uP`ozkm&_@QA`ewg{C7kaHTj?T#{8f{
zZp{Sc##s@Jc-gRU`jQ-W=GWMkacjY3y*ZWruP6>>$6FL6%cJ?pyIv8tS`d@)kGVNg
z9K~24jNY$RKm}EnpW7d5f$;|pqd65x^fqkLnV40?T^^Q|E=yVvUfCXV@uU>8-pVT~
z7EwlZ;}erVPilko?-#Md|4HKx;fQ}~gbI3go(mON(}v)+PiHmtWw5K3V^@r`Djw1H
z6_0tU1Hx7&XHUt>V%m7e;VlQ%5a&6XpB>PJ*Qd%DflCgjM*hy0+pD9lU{`|_RSzcn
zgCpLo$RQm|6b+r22A-1JbA?NE3(&l^du%-<kH0=$J#&@RKtDm+ndid#kW_TpTox5@
zAR=70l%k2W3FYTRR1Dz!=h)Qmv5NR<Sz|r=uqO5>d{9iVHUt{CVq(BS32Tgl$H(_;
z;%VdCY2a@Jq0%1}tQVE=lgnVFH>)Oc_bYO!CmMrPa(2|7Ysxsw5;fj=QUlA$O68pQ
zCNQ~r`qu4V%6Ou<t8M&-I>vtRTfX0K3g##1bm@#$kTZc2?7CkK74}CSirnDHBYNMC
z8*VCS+So8^GOdC$K5PpnCjcItObBOkR>7+~6?}87lyN5QVby~UfI(@Nn{kRNIQ#U)
zj$@}3@fvLpcb$eAkcUgEVw#lkNE3}3%|&@+FYfT74={r?(ZE+}w#ulSQx!CGRu;dt
zUCcg^Vg~Yk#tJoQN|;}~H#6h3G%Ds?8LryMTfs=S#?c-{6dMnH>o_NYk$s%0v+vBn
zV5Rg^+oA%}k4H&(D~lrEsmRwhxn{6Ajh}IPO&;?st@ZAv3Zm4L(wdUHX3!|R#PMlP
z4(E94SVxZXVf-6$hY)WwaCb`+6YrA6&JR3{UeVmBeCuHHfT|fB6A28nDwjba`SZ<f
zTpURMvmn}G9H1*DeTz+!G{#OdauilGBj+ZE=9R|)`oS}k&n`=$;GYLK3)L9W+2J&0
z)D}R_JU`gEO9F?VJ!(H{N{_3XRx=(=6VP+`QonMo7~Y{f_S$rc2D=~V-?29(;7tD=
z>gPrg<i*+K=XU?d65*YB|HYUBh;|%O{V9Z_LV}+y%U4JRSKs)^P7`qJ-opP=OAxc{
zwS$mhnRNQ$am!E91WIxXvcEm##}7e${A$cgq?vY-saS|HD1?&<4bpsQ_|iO5G;5K3
zp60W5_=6G9-ZUwlZ{oqn*FQ~&buW^i_Z)5>kuZWIiba0&kGYYC2EWdnTOt`Rd%OJ$
zF@)8)TUE<9xv<D^b>iyzWzwK<Eqn2+0eDe%pZ`j5q8oku*@>nVvV?tW2ECpE++*TC
z)RD@L2Zh=XaQdu~wDe;)O%nCNtnhCYm-z-?zxckpZn#dm?uqU!VbF(#Ut*=fBCI%b
z=qxCtZg3#PHRW2s7Wi82N<*v6f(_TMtLu@p7`DnXnmMcod)uAb@hCH9wHNgM_(g{)
z<x?Wsu6pq1pls574-@*5Dwfxb8Bl}w5RG!XF1(*OI>vQ@340$J4*g5qgbt^2WD|Dl
zf<JY~+ppG4==6cbbc}m5s<L0_f7q!5%tznEZ8c@W?vtPVcO^4ntA1sufu{~^J(9}u
z&Xoy$_&MSltXOb1|F&r2Pi+WQ@sS?cIA^ea=8f)VHcUDb(>ZWi8z@?b#7dZ%@!ZJQ
z^41Y{JfQu0Ku=g34mAFpzwwY6BcI>3lpW^8JQ|&Ep9{61_hUoBqAd%iB-$MhqT|MU
z;J)?GUM;Zqyu0vQmK6j2=jd+A^B|x2dCAFjDzI?*T_}-a!-)vv?(h3~@k_3MBxe>C
zobl1-dUJNPU>vOC&g8>^XXW)xo>VA!c3*2aiUTu4U!Kb65WwW6|1Lk1paSQnM|SMX
zoVfcg!$pr6L3E8iPA5A=0U0%Wzp{ER)F^H;d@d)94;r6!|Jm5D1vc+_MZDz3iAd4>
ziEkU6dgmA3A5H;M-aE`OnFmWGRmDzbis9%@+kd171(fWDN6KFD;swj*F_i=f488q2
zFy58|IWk&omd$*)Q(@WO)kz8`{Y%`gm{CAy`rh*l76E)*?b6D3Od9Pp{lyzBDd0QD
zUV7V25EZuU;a-ZBLEejBuD0%>z=V5NY)GRJYX2Gj;8-JzTSiCPWX@6`!!5|<*-jD6
z>_7c!m{A@z4A{^5Z1jJx`ME#+oG32tQv2DkO96K`ls!H0hXQL6YF45z#nCa8i`Dt1
zBAyZP?d@=+!cOB6#=$d^=pbQJ^NU^?Kb)NocveS+#0J4MyKE_}ra0NmZ{(=!jVS++
z4PH}367TiClE!PlPS#&5P{rW$FAuk`X~FjBr^WknWH5Xyyog^@L)*`&{i9MFzNy<q
zoG6t=&#wjZpQsx6*CnBEXQ~by?B#Nhu9L(3p2X^mZJMZma97*kC%W)rypE>%vpmxB
zEPmZ7Lcto_YW<cXJxH0g|0>(5fT#MDJX?Y(C@vktoj$e&A{#lVa&3y3YB}?wFrR`Y
zMVk9&)eT^Qe_+|XQVF9f{VIwYDfnM#Z}H2khA<%()_(ngGV&dM#A;Pa!Ds19xM#!&
zW?COzZ`!GXu?bu&451V}A2Ks0wc#l-&n|e;O{k!s6zxGXP72<8@9!d=W(p@p9#7ub
zr;37=uBY#hYoNo^Q#;yz5-_rBtndC4RkWhrM&seCjxM?C3th1Q<ff~Z;d!c<Rb3+!
z9j1!00aM-qLS|qgTk%!qo+?s3Z=^JPE2C;x_>0LXGno3D6}o7yislYn<|1N>sBmp@
zZ{Ua-MAD7uY(o`{+QyM?RV0U|A*rEm3g#g3NazX^rwZowP2bJjCWFt3Hgjz|bD(7~
zS}xO8#vjKmmwaj@(WI3z`uRR{DB^Xg6V*||)A5hXw`+=GHoX*a<Uey@E2U|EC!mPs
zKIz@(#su)GX7v0lW#fL$@}v11`@pNy1|y-gyeP;m<x5>RgOPpR9^%PzNI9XW=FQ8A
zZ?T)|xWP52<C|XhJIdmycWQbiD>I66w1x(sGJ^u0{g3uC$lwzi(e7<i^vK_?)_GIZ
z3|jN1`&CP%Fx%#xZG`hWc|6NIQkMi^HoRTpHYI_a7kLz<&MuNphZNm2+yI&c-0Lzg
zieXEaV?rPAJjvyK!#C(J0e8ZmW*^ZM!HM@Hi_ELj<N?^ZSfNS42Q{Bcd3qs~zERPA
zS#X?8AF&^HKVk}$f^g5pRen^vvMRVPH%w-I$dp=1HG!G!L}HEvAMUDxK&G}qGE;ap
zsBpj-$~&71SbaD4?{9beEBgmX`<3@GPBO-j3fH%eb#tM~P{G{Dra?03aUaX>BSvsg
zJLmY&6bF_G9j9mE9wN`UE3^H}GlW#XO?zLQU_(y5BU;{HzLPmQtlj=}hH%Mr&^p(E
z1=lO`E^bpCB~#CSRWICQ0AmLVIV5eEFs3;9fY;18xnt^>`}=Ht*xOWgr8bcfLjv`)
z>A0sz#kK;~2zGt&-2A83TV)e6$3Ae@zwndH7QYkp<Kz|~Jr8@=%+cetPTmw-+#H!m
zw|eVKyB?hLYkKl!nhwj{>qoC#o+r=#F!NP2*Mnm#%+tjpbSU^@`0mxnKjiKNI-0&*
zT@c;uJ24tai!1dfoyF7sk^$rCM4P-WxQfI*mRX{~d|T0&mmN!F{nE*YbWe0Ze(Ezv
zbQ%phYl{;}va94=Lx|@-5gm||Wo1qZq(R>Afol7r{*hrc*6M8u+Hf^LDo*Dx4Kl;!
z(-Dz0`1$N2yZ?rF2v~CW#GIqSL|Ls@^<A{cXZ31HEkg^Q&YoK^eM5uCj@_!(Fr&x!
z;+OPzb+w?{eZ8CbM}t#`t>^SB7|?O^rwPqkDkR61EcE)(BIhZSju$%_ahrl=YrHEJ
zUKC0PzFVZlCmoD&r)in6I-^z4Ya>6uKb(*3dP;}dCgMw<o0+lu!kLrBaTIv^(yAo%
z2tEFCUwWX4tZ1NNx2sx@0_Lt=mZo+LSlg<)pw!NeOEFxcmnt;jUeJj<3_CYrcFlhk
z^(<T{{Y`;kKu{9~&332#3uMHd{;RKb&A9Q#(#M$H7c?L=*DolwbTeAtvKu}X%Y(Gp
z6!AAR>d<YTIQvqT8DEwL);?e6McV4g=^j6ISepOp&Y8!8_vvS6Hih$}5Py|B%aR(5
zyfqzSI>Lqx_vxe>l>{-l%US%+JvH#VpKy-Ongh2n_Khga38BEFJX%&WH8?c6z-g<(
zg|#yum$iFEusMu;<4mIl;R5c_V9kwNkJi`>&WK^e%7>)Pud3h}8Q)=Zi3bmr{IYCU
z+{l^F3rC|+6}sJ%Rlc_H;#a=Ji|N%;csrXv_j|1>m@+%;H8SPLpH(TuUuGFho8xI<
zom2&*7^aM>dI6+%pX+$<C5s04cWKp8)Zl$`nQquAA&jL|Ci%3=VWBM7oXul32u|5I
zU|=AEuGuGBukTbqpL4Yzw`i$@^S9@G4pL$$t7-jcd{7ZPDx#0Z{8fjKcj~fZ6eN&r
z7pqmcq>RrqTB@VwG@xm5w)K*{6siSeI!DQ=;&imVS1k_(Zi_!@=(mzauko_@>P9uR
z+4H=@<0A!H?ARMR17y%h#k8-~PXn(rOB>9jQ^DHv@mu9gS?o5?bZ}qO#HuSoY*y)7
z&{f6xyI@=nJx;A`|6EMLKX(tPhBRt}>pmB`lPU^$wnXwr(*Y`43cgDT;?sqgqAxPr
zj&5*ThwaVi2o=Ru)5Y?_^dQVz?xl3967D-Q7C&vRh21s^=9O&v@a-n^udxPYoUc*y
zE4!$LD{)q%Z21O2<L%*=)1!iRs++C9UedxY$=%m7j&1O6_oakQ&8j#j_RLsi>qgz3
zxzkn61PmONF55j)!;jn*D-%sr%nt2u`8{q5moJaA?a)@obhqhyh5}S9oEz%>y&d3X
zoYjls`|3C<c{%K@GzF(0<cmGyG=r!{L5ucMb$s-`MPSFYI*#>M&5mqvVf~6m!}1e#
z9Fz|(b1_lHr%x6ha5|cU5?esV9H`?faT<NI9ZJZnFh(<8y}_dvb~oizHI&)Uu;YiW
zJc_X`<!t7+0Q$hRq-V9NsG%j<xF8^dK7n4@OJ)|JDNX<UWq}Hwu?(!r<deWKft(B}
zI}7MLa9r)bKxI5UnohUdUI_KGwCIi)SODL?RjpnQCFEZ{Up)Db2lET+=RdPpKuhVT
z`*ODw&@j+<Vc-HA#%Z32Tdy&PCj);AXEuCU;Orj{i!BT|GV0Kqd(s?=PwY($@sPz`
zN+PC;9?Rr_cJp8$n>pn6t5$H-N#hH{jhMbXO_oi@j5}|5qT5BU=uT}Z6tiG;y>_#W
z<m4YAKW+GCq4}{bey-x^B)8*fA1z5RUW*w`ECo>M+tu$MAcDqDjn`v;^b+4FJS>A&
z03YrCiH770VjJ(dOrO<JV!4P}+&PT^)q6|9>oWYfxb>5M?3pQI!0q@A$x2hG-Q%*B
zT*ZSDMfC6827eOyqU`-=zng5l!=E=!@m%<vKGV~zb(YACD7&D|W&%5=Iu9l3vZJKa
z`Ta|5bA<2p|GZus8N-{cdh(&k8~cAta{O51EHThKd41`W5u8aB?@;hz#J!OpPDE<X
z5?n)>!~e1j;m!GC`BPWvu{(Y`Jo&{8G4XbPOZYDXke3Xj5Bp7nv$r1PkO@-+4VT=Q
zk@3ddw!QzWesGQ4H+UO--6n{3gR`Ms(faVjuu}h(#}ZlUD|t1KZJapwPq&m~a0?V2
z6Zz0I@Q2*DDR;AA=?GCckg+4i=>MLD;oDn(kze*IGNlB4Cvq)r?qy5V1J8rg9A1jE
zq!sl_)Q|0h1kFKrOZ#<QP<SUgB$qQu=J(G?F@^RKT$;XZf=6_re)w%EC2x$333l-D
zeceSIeQ~Hkr%eY+b<J#f%!kQ`jWS=<lsgC+t5n<ItvWzM`OhfXevsVRBYT9H|3X~q
zjyKIK(}oicce~PKdr1f75N0XnR)Vf2_R)JCZK%s$>bq{<Nj|smek9fWktmH9sk)l0
z1v14K-*6<fk>lx6XwFwp#Bn&%cT%<BMEv+pgUg@EFfm&*tBxu{<xc=}Y9STMSCr&!
zJ~Wf;)n^N)*^o%xzW-XaF%=#T=eIrcX(W@n!a^N)l@MC{&wNp++wcnqZp-%aIx@_V
z!rg9>Ph>CF73Vlnz$cS#R4T8Uyh_&{TK@7Ck<w`565pT+T)R%hTTtGU#pe&uCk;L&
zI!b+9aU(zV@9RGmlS9(zXi`cZ+g+l5u@DL+G~joxq4(qEauR<}&Qdhp2x66bWXDc*
zn69!=?Qkt6EhYF1%IKp=yWXB8w;O7(yj8n&zf&=3Yg50PI-Ee-q3v?b1}}a$f6n%4
zDI({8lp8hDrjZ;;DjyCotHNPV8_tVlA$eOr?w#w7Omg#i?jX9IDzKzm>C3}cNbbM=
zGbK(hhtxQHJmgN2GMu5B@0F-3Alo?%xCTt~$x6Ry+aEJZ5FJ@<@ol62qRRAwp=}YF
zHO_VDhousnvZsqZ!C6Q)3#~T%cesS?7C0aikgN!?8EmYdQVPkr{e_Rio|KcUV!_Ra
z{wcs+gO_cm0*lCz_ZLQJR!Q=Jsd@Y}4+WUI;nr$&{Vn;zNT~Z-O(kjKGkTHxgFH0z
zu(mpN7n2Q#4V16Gsv_-Kwj8^wBM-+5i`scll#;Kx-FmtTYsf$427Ih(a$rBlTRCY~
zPVRM{{gpXUM|O-?GkFNgLDfy|Avc$I<VBBP!pHw>Ag|23yg7GE7FKP>Hm|xO$#VVG
zGp3o3q|vWKCIquA%n7Xc%H>v)`GYSaCmWi{o^9fv;v;2%J=)7;L8FSK?d<5f6VghC
zv^woN$}9tm-~7kwzEzV=3C@fa)Gwq;;lmftZb^fRZ9w70yjoJuxcWt%P#d}BrqmsE
zL1}m$z-;#b>&X?1#DX<y2T9wc*g2mn1^)v80RR6Cmw7zYT^PkfmSi_GX2v##nXx2f
zX6zgiMI{wc$yV7~w5Ui?){>AtMWK=uC8@~#v?$uNpwjY|6d@#{Ebsh#KlgL*eV%*o
z_ngDu*cECl^;ob+z2lKt+*?7k->y|%CJd}9vYJIrdn)+xY-_`S(tCm9XwS&2Bu&th
z6E+SQwhGEsT=iUgJ_>%%4O0AhRRc@&we0$CzYz3j&I}iee-=!<?{ggctPW1;q2LQU
zUkP}{%MPr&`$cfF`Snz*iaNADS6#d7-6l9#6sl=e`BgCaS%1mqRch$bDM$>B=nzEw
zcQ~y6#W%tFbB6+ovsA&6EOiQg{8m8gxtTU$)GMg5tPbAONk>C-*_j0a?*(xi_0$Ee
zeF7KCnC)8*9rbU{PtUUdB#4%+>o`;QQ^1UCEqxS8LzR;JxgoR9f|@0DzR8nAf{W9?
zGF)Cz;S(FA-t+H^;GSoygLU&SLCsFhZ`<ZmvBm8&KXmx3K&+<ziGK5M!TfI3L+%+W
z=#9&OoW^&7{f*vP^F;p$-v8UusrHwGA5tT>3dy~KzVr&IyHOJY)9oR)vLO_d(!~7&
z`Tc^`fyYw}EGGq-u|AEvKa$}Um%6gacu=6cHzR8A;u*ogawAJ(EgAjNmzw+Sh6N=X
zxvI<7h!E?G($^mNNWv<Eluree5kYa}l74$DF(Ue8l3hS33Ekezk%wBNf-W!V!U7L*
z;>o{lk346TAtyT4<rnlvklDdG5ndrlJTZ?@i!D@!^k36=Qv(x%|1$L*_c}=v!ACRS
zEnlJxF$ejV{q>UqR@!4H1p`@PTq8ayT|^lQFP8Z`yq^&~JicZ&$3%g+*f#MkzF7%!
zzHicZmx~a^4EomSzly}%(q_r=5+yWIMTgepi4jx0oJ6NFW#U|?YL|bO5)S;ETdIFY
zoVe4auac)nA!tdqu`)$U5bvU%dZ-~q1nblnJjtgLH#Qh&*bCQ}^4y!5a8H`J+Ch@v
zwN#a`d*&YyOH;=BjvZnPuE`R)J6#G5oHdALr?jrr=PE;`cF0&XQh}JM++1<%A%mEd
zR&qVRjD$5w8%!21QX;&XJ~bF*Gl_TY{Je1|G8Uwl?z~}7A~tS#$D4gzhwyCIzx^zO
zf((N@<AysagjA24%h_r+@!`{*|Hf>ocw!jk<NS_FR6X!@u$RyyBu8DNEd%J-K88%g
z1FD4lBMr~!cmtxU@2^UVk~-oiqmC~0(I9pyWf$k`&nFIg7Nk#c8StLd=JxgugK(CJ
zjsLjMn0T&Qbh^@kiAM)(Sp8v4A}g5tc;9yu;#<k_71tYeu*$~TWwDtKk+`8!SKix{
z$oa?aKiJ5@s^lH1m1=BaRNu7z&|NN(F2=50yutuCNjj<oMVGi%mbb-{%qIl4gAC0`
zBV=ldSL|2UCsqbXrYhK(5gKtnHP0~?;JT^Di%+b1#Bk4w+za~V#DbEHzKoY#%yJHU
zRIW9jFtcTRIZT)n>Lw@C*S46URGsl<`-~Cc`*xG}WRE!!lj;-WJ8p?W(cdf6+l-0d
z*+<^!q?r@$OO0yM9Bnb$u6`mj$%Ke}$2`8Q)QtGN@TG3pLm>Ik1Jc~N3kc@V+lGbO
ze8SmRgmlu&0V@2gSDQT-5WaPf9iEc7gjR=P+0({__!?|q5)iO}IKkBJpE+hiP`!+A
zCl5K|+&HaL!e9X*Zy71KX00K?{L!Eu-@XX4-!4xtt}-D=V-tJ@YYy?GsYvx<m=hv2
zGL<-E#>8--&Eam67U6By;hk6Mg#0NvFQeJU#3<<!tz<KW_~o45DO2Wzg6D$k^O_9_
zvHFz1(w>q8+D;?P&k034tTxk~3<!m;g^61he-XTP@`&&Mwg{>}Oa9Z()g`t^Hb}Mj
zjoHaATz+Mr%OYH*Zy+RIv52>V$5iJ5NvyckCiync5sY_zwOO*-MCy5;wjF&6P_CZd
zn)hKLsD2ZNOx7@ncc<S`%Fd8LqPS=t*IJ0%bvq2Y_o)&U#A-v<Vimj|8m#^i>VWum
zPfp=63Q=ApV)cPU1HZ27PUanZ9Q3UDDL<-6@OZ{5F?>2w^Ua&jsM^EahS78@d@f-+
z6O^geLC1?T;|A{%0ClnI?8YiFBJ9A5uZ!ub*lX?C?KW<Qfk(sNJ}sXRY|`@xXRE8?
z^F8(USO07wU7Xv-;q?l{4vc$FjM1Tcw*7NB$riDd?Tkkw*93b><9mPKqGLhg92F*P
z(3DcR-GKJR?##WMdrG_MNO4=l{T6KvJ>`BJ;r_A{5xwrwWkkoLsHC{hkF2ooUd(^0
zoBrCl9o&*{Jxar5`cl8`Oe<8nIK{btn1z6UFGgQB(_p<>W|m&EC01FKST5C_4avju
zf2*(3Knjt|?;f{6Bz3Q72163#Qav&kD`{ArulVrBE(_=cDlr3J&cWh9W!HoUG(21>
zN9+1yj_nCGR$5DBkeT6S5b&FZY_a%R|HYdlSo6v@>ohsce}0Pm%$knmkeT<cbaPN;
zo5j`EC}7vnp6tOwVLy*69_gtygMZ_nqifbELN?*a@*-hBlM)-Ub9~Hjjr*c@{!%48
zx{(naRjCR=S+$M(Tr-?6eicWyP{xWCfA9WWuZCftn_>oye3(mhcd2TTuyD?Rr~^|S
zJ9Ykkaf#vMM+mueM1qWBe|LwhX>}alc7CXL5g!|h=06ziC*wz4!kkY-8n}0Jvx_^K
z54)$z6iyojFAn@t8UCXQwZ&EjZw7dnW0d;Js!;_chaziDk1#MIHZcA9IS-}Fs&r3Y
zqvG)@1M!ubT3`{ruJ7x3m@XRJyRMuDxmf$P{&%#nYhs0y^)()XCg%k#y+}vlNQb#o
z02A9-l>_^$d3abLk=7@yQ(9kjZjFpKjIOaGDFhErv!)jZHK-xyLZz=koi>63_fN&W
z;lXmv55<$O)#2(ia-=s*2lCGvG`LedcsMJDNc_@(W6E>W0W}t?#R_jE&F3Tg+A`^0
zX$EK;y^jq%W?>Fl-@kbaABmR#UG^(tpdxNVr}rK<G~CBVb#C%u;F_@^pQnW)wFd8X
zG!EiP=5mD!W)RbR+@1PF3yW`jvh2Ld!8F~tQ+$sZ%Hm}w#R8cq9yWZMYORYeo<p~W
zzMCOeWI!qP4-+MZ)e&MhbdfvXmr=3F94CfP|4B~P#>nGxae}Ugs3oIUct6eYkT`Qk
zpQMAmXOyD6g7lD`TCkoQYk@aGzgNWO>EQd;>Vlj+J*;rdefpbbiRlEzp=f0m9HQ@;
zoxP-o8_6lXA-61X>t$r2L>vp{bAPt63-#c7EAZTc^;XyxaME9*n}wADF`~)a^l&u5
z;PSZ{E3CC4o<*6lk<d;noKn@pvbb1Q*BNU(4|>NqwvUb29|3N)=XLRfNMQC`+o1pJ
zrN%So*$AH~UinjA7f<6(-)(5MLD8><KjDP1k5<E}z1|#LHnf=^;cbhKq?)DF2W+T1
zy%!%&Vq?C<1Cvd!ZLxb<v$OVfHi~P`>@Y55Aw7Mj!^X}IcM|Je@>1EjdL=dS=vf^E
zG{^2><k?|_QFZIDI~%hmqdoj`wb7-d*naJU9X6R($}JXULuz(UgnI%LFHfDV%#s8&
zZnVuBEMnmeX+_lEa4oDqd_+Wt0$BC02yL9l!XkGo{aRlJPW^M;bD0ioIcqNQrCbNC
zeNHLwDm0K&6!JZj4E$PK8d9mIgE$+hQ%%>@(EVXk&lchOmmllYU5?kr()P&+mp621
zD0Msi_-qH)=E*bR-NJM9xitM`((u*pPPo*0JM7WOs!X(J!sy|j(TW@uRFDUaMSbjW
z+B?oWs6Y#+E|Fx!`4lwI>2#=+vcpcNx3U{Y8BkpwFRCL-M(w<ezE9=0h>UCKJmt<n
zq4M<>(m$b}`?v43+ag<>9>3r^9H@!J&79L?n#x%Iwmh@otqnp$wg%c8YoIB$UWB_{
z2?f+HWt$KieA3?;G%c-;=ZZG6wcixM_j7ulIBJc$G4-3VW2$KPS`tc)SH#B|XQDL5
z8kfV)G?f3QV_Po!!9zzyWYJikPfJ<jMb4TZ!xD684>KeU*^2n=Qlh;k!wSB%*CiqI
zY4GjkZokV?#NNOydbxBf+%e_)JP)G+oJ(T5_KN5ejCx9+v&8JBo95;UR3PvFie|D$
z5t;gHN1aTB?^&d7-yb~{g!r<b_uo~-vN3O?7Xk~6c$&-}E2rT13A0t@EG1kFjBD0#
zw?OHLAZCXH1?IVNuP06^!6>Ld{$#f~G!(Y{H5ek}n3q#aIY$|R3M!ln2h6eP!PJ^p
z)nw%F^)Y{RUl|%CnqD!@95TM?Wm2hRC~iv*%iKjmyipG6+buJ!K1;UUyq}EDe+kDA
zn3AEY&d+_a!3<-@-xJ~wk`ZX7<inUvLDT(ok18oMNLnnpI+ZQ-^#Q?J{B8;qlrs{3
z*77mxIA9UpNJd!tlyXM93M4*m^z0FGX}9}Dx7b+}<cPLtE4`s2-))cHY+XK9r`cG&
zSxLcA??ug`UK--un@?To<ze6E3j)qf3M}97ji_@~;qd2h;5s31dHn2Hrm+gvfgQKh
zS`CN@>`pk$!vdSQ9S3f!z{ZiT{WDq}{H6K%SJ(0oT<x~J&y$MwONou~Pc*QwI!h+h
ziifD@Of{-F4TZ<o-7_LHFtuyXeg_s0B|~4UO77E8ckW#8-4+Ihxp6;UQ+dL7+X&Tc
zI$BoDB(F-;LX+rl4ng6e%~X1HI6@URvY&fqJ2O$S{7caVO&+$&P37#{tOoAA8%}rT
zYU7nZU0}fFVO)g0@%1L*`~0=gSN)YXUdDFz^seUNO~9fBqdPTFs2zTMUx5xBqb^nK
z7S`n?#??qUrU`a;h5EAqA?GgsF<W+r2ZiR<atFN_*t+dz+<i71TSudN--+{4baL&l
zd4mjW_qlxd!dEtm9^Z-bU(ZM6?WEv&N3_tWvxyg)&q0+4zk8J6!|=*hTOAe?w@>Su
zUa{8&>yN?eou+1piIj~?YGfj5!s%!0TU}h=?0Ye!+6)hJEoL&;YeQ;~aGkY5566~V
zTcZkdY?fT2xcav?;$}Ojt!dE%Bjsv#@EdbjUryXzlBfgO|8}K|sOsaQ;I7t_C=2Wi
zogHGP$ilrA$-lu%^#OzHV;(F^r1}jdmuIkGvFf4Grgi$z4-8*b(Pjw~HK%pQ#My|E
zJNYVnkv?Q;9m|xDSRq67p8xJpHr72DEPpShj{`nB5B6JIBd98MTBU)F8LPdUr%LrO
zHC)r1-*1ikD_YnA(`>xyQ*B!=)TvmvNr7mN4cxR=?n}|*AS+a+F)36R?xdA;H=ZqW
zIPRh*wj6j?zN|f&$APr0_&NKBw)k)~=~s{y2O<4Fx6YOc_uq1Cq<^s;Zb(UNf5PB^
zJ60`IBjog<s_TaBwRYH=mayRHPd1k577SFz>7cY-E<<V#;BRdry5Srf)U8q?J!`em
z9iDbV&j9c=^{P#CVk1CCK>ldJ#Fm+P*;DqwzFaHk?pG{OPdoSxPBJi)-xHX$46yl@
z)|TeR0$1##xLTPeM!4ILP?iJd{@cEuRIh`HgwB^TTh-A=OTTFC2)v7LY%me>|9XNs
zr`%l?tmzawVGN+9NWW>PHUb_hA6E0BA!@$Df>aXV^J)9Bn!8N2wz)pKoTUPfU6-8Q
zgt{Q1IS~I+j)_(BRM)rv$T-}fp>2804u7FC(BiFyIpQxucV&@q^2&{QBL;TRbUzVC
zJ<ovtm#7_|Hz=dn=tks$yS6AeakRg$PZM!-%tF_$Rf5Mpi-}wAwm5IP(y1y(17~*i
zmFOoZ;+NZIo^PiO!WJD})$XPa=Qf?L-|rP*RCw2F)XxS{iG7hQx*8n!EENoFP{4yt
zuRp!+vPM_W5yrbebd(xdNXttpz*ny|MsJff?rPoMS^0y8X|sa-_;PvNJ`)l9yW0w4
zueY`KjZkqsX-~%NBzee1pL?MgWQF|_zuUHvsMuHeLA9qy9*nZcA?sdCG+mQcB9^LP
zcFtw(;X!$HE<ZIx-f9Ue&Z8>z(-ioBVtqBUP{7*arIqXv3*30ufBdL81v-;1tP2?m
zpl5eBf7@??r=^4Loe5;5er{TMbVfL?T(_K%v_O@-_rkmCWK6d;ecX9S5#HW6$;!Fr
zASzp%-##HB?9`qwRum<aUhtnb(>F)|oZ{`5Pmu7zKIz2lJ4#q=-B}aYXojQhls%2x
zNT9C2zeg`Z8Loe#8B2uzTzO00Or9SJ=WUsHt!+tgR9qd=ImO4auAl$i4kDr9#@ad4
zDr5|*J)owS2*+9D^J?Nq_{Hb#cNe8#^h26Gv7C<`zG=rbuajVO<nwv{6a~7+>%&`S
zc&IyDclgve3BeAumIf&*^!D9qRIcS=a76F$+ZANY{Cbih%A(=@I!Dr+2p&wDhIEeC
zlM!nDdY;NkI^ynMl4V%(;O(N|9A!nppQz|$(R5Yp2#WgAA;Cj2GsY<JDFtSH+mtIG
z)nL4?f^@r+i)cyvTKSzSpbSqlJ8d+u$Vz4F+FM*K9p4|iP>%|eBXlwO%bGa&UzPEi
zGhArfEh)J9iwc1=_u##32KXm`uJg*^g6Vn3hxUwycn`yI#r0a){_=j1Tq+mkveckI
zx9N~BWHesVW#XTW1J5{%3u#I1*1I=VA<?z3Kj|+M5_`n{?7hH6Mc4iZf+jW89ITIZ
zZ`DR&{*$i4hg_)48pFRXb>zfbh4_@|AZ6F5=ryBUyuZ42+E!i@#MmL{v#~5p|DI*$
zWWs|%cKX4?+6>e)eg0nZWTPyg!*6^)4^8*-4%gfl{;yG`A7?lmOuXymzis1za@ade
zIaCWKo9g_`hB)}}KF^G0$A|CengJUnCLFNNUr?b7LgM{Ir%=aduL!%EU&q9D@z-&N
z-g-E>Ol;0oJ2R{o5m~!*qc)lz`#2j7>)~FYch+Q^&<}LCs@X{Ez<5l0){=02G{lXN
zFGrf=?ya0s>LneV+O_TH)C+wGvfMUX=~<wyH0(bwM`3QEf6)_FGC-eN%SiDT3mDgT
z+qnz*R#)i#V)r})G)Bh#@-49hp)r+f=fQ^b$DAXY8U~1w-ftTbY=!R*tYiKU*|>Nx
zrtQX8edr8yIPRZs4g3Cr53<7gNA_{j$T9k`j_l01Ic$yosH^*1cW@x$w_^6z0X>{L
z8+3Z%6&u{SY+sRdPMC|ryB7wU=waT4vzGJxY{B$+YY|IuFt+8L8GX4fR`&jDyC`Od
z=4!?D#~V42I2~iFwwQxPPpwNX*>>2hD@W5R<6wPv%ojtJFgIj=Ymygo{zG^wZ~1Nx
zUhJ1RE7`9DmSg|;pcU}=$dk=&Yz_`QZf%(=(T4X}!}3D`z{%bfuJlGWK5I?9FI>%p
z>79iE8>0c=GSOV}A~puP^XlEjwSZ~!=+j34k5c=awlyqVJ$<}>B2p6t;nvB=jsp45
zIN!FDSlClb-Lzj!9Yvh<XP;t#0iNkV(<U7ljTD-OUZrEmy_p*q3iP;!u@fq^h5oxC
zpe==pWs<Ffsjk9&F?;W;p+4a`!swJ^c@*3z(Ai<E14J?<uUc@J$d^33hu2BM{ZF4o
z7x&p=u3xfbfWH>TXs;_0Jd|-IX04RvVLJ$Fz75Vh&48rA%E1IlCD_&3Hpj}_;rAx`
znD%W=JioAc@wY(*<o|0sXr670n}w^!!<;mblxj|Mmr+2trKyrL*%tGA&7QP=QG>h3
zm7}|><!~&yJ<2P?1~ScW#}}VaMUQI6C)bOzxVPpM`IEE_CR-q7u!fGVNt#6SFByCv
z&ugc|S%V0)Tx4lV!(fW+w!~x^tQZ<!DgDn1;)}MezQLhl%f_gi0f91@Ih_1BZ<iGu
z=bu}@g{K0S3o5NQqGizW#Nb5qfF=C2$d!-QQ&4)y5>d}&u=d)8)$SpdSZe=4z2`I;
zy_e3kdaaVhNp&TWliw|{XZ&nXnUII)*PZmOmykm<O`P5oYyqW=tQECeNQk|1{p!=N
za?tuV7Q!DeM~u-Ay)zTa*k-Jhw(W;JsyXK<_7Ubdu&cSOqfi-DE{Bfi9#uf0<7oy@
z#2oUEOT?SjDPzFk^JI~UA`aC{`1@p-A%1z&*5^jbm^ge%^J=dm0`#5eVr(-cq&@Fk
zOIJpWsDnn>H6`Rr{WA&|@bS3!?v4)Oc-`LM>!m5m$aU1B4g2sB^{`?GVJtk43wgjl
zf`kn>H=b%2;iG9kZMaCd@Az`>3oYBpc<LMwxc3qdF}Z}FLV+@lu^rwr_EWG|qkF5#
zIv&gmJ*Mh^D#MzmyX!`-3g&d!hK4EfV5~Y|?(a#$Q>(7pFAs!y;Zx~I_A@RVF4?dj
zz98ZIj`CMy;&jNG3|^a;$%R&RPS1TmGUh&?*=6FT3i7A9-nG754A{!CEW{|F^!jUF
ztyhD+$g7PlTrPr4lEWl!QE*Z<T4s}}2Fl+@7fC8}(O2wzME0->YI2X*P1b25ctM@1
z#y?Z63v#JuZ=hmH&IAA6at8eF`B}9Lm|`M(Uj%I#4Yyb7?EM*|g|@=GIj{OmL48u}
zk-3}>-#g&}i`O%8V8e9B+%Z#hUP#bX4^V}HkIwgRw%TYlc`oKE%Y~!Ok9TrOYEYE)
zAM<DHz_9n(m(T@VY*v?uJzTGjP4_0%1{7F0n^tuao4GJqK9j#lL=#Mzmdmb_ESyp;
zUXpc@i*FmxQ@ZsS@J$&jZ|Y{FuJl?6Wr~a2<MXf2eak?N_b!6f!a>~o#CI$Gc?eff
z4gYXV3u<nmLlx(AA+o6~?`%5{d-AxI9~Lq(>-umTW49i%4wr2v3-3LoxxvYKl8Fu7
zUdgYF^<gIeY&!TiAA`4PN9SDE#_se8wfc5_%-xyZ(pO-HnwIZ79tG>**LIWOlYRzh
z$<fQ$zS11Vx5pm+r@}(fl8`}8vjI*-z7(~fSb$vipY@Ig7HSTyt@4;V57k4{n?}D{
zpz(XttPpQDEY32zvY7LbbGo{-w$2jXNA<i<3G2+Uc=(VloS%2XD`Qr!FsDCL{r=IH
z17?0)+Sa=U5PKAQ<@rvb4_u|(&3wRt$yUP)d}jkp2Btl|?_z_UB(>H8C0!_J=NFCU
z>*Iq%^hOuDEn3T3oW3m51;6|g>3h8%JnO$cX?bspkZk$&6dzqgF^--fUDt&~u=>!C
zR6C62&GDM@)D`B^Sx0#Z9Awn5J@ZBApQ#V7PpO#dg7!oF!d5dj9@Uz~r+ET1iJc=?
zhB^2#MGqf%DZKYtFXuH2xxGS}-tj6^s9%dJoe%nHBe6Du_PPq_-C$Jgsmj4j=EAGu
zy+ZyUy~YiH1n~7&udF)C#<XqVX_*KHRyq%szj^^I(ayg2^(zY>I}8dds2X^06!Pfw
zQ$W9=?8pW~7G|~9%4mkE!uRQ_o_qB`z>~#49tP=PUsh)zub&FL^o4(;&H(8tTa>=$
zYD4#~UByTV1?M-dFl0mleiB#A!h|`I_w-`L`CQ?DJtFp(Db$O<{|u}8zH1?pI8je+
zQ9{<#$@#y8eMn4@T6|Sb3->(YzJIk+MB?{t-`-xeLr>TBb=Bq!d=Jn~yU`(!6NK^n
zDq}mS6aHM~7aHh1k~r0NMHb`7jeD+?+2Ts7PQ_EGBj);1f5ox6xDaf3t4-AwUr*Kl
zHMy^f&rS_qlylOUob;&fOtHcKc}=V68|WbHON>Xa&B3QWr``pBtufQ~dFy2b8g%W0
zR-dKJL3{weTrSue+5=%X!#}8CS+}Id>W5MY!A;Y!b}Qs0fBmrj0R;{7l44%hO97So
zePkyqNVw0iMjnyjFq*G-VNeQEC!a*r)LMda?ANK4JtTCs&|M9@=U}^+;ldXNmI%>5
zw_vF@347|6Ok5b5gLft=%ik1RK)P|Ob3~+&vlX^u%Wg}<ZOi;w9CZuCuk%=C{zC~r
zJQhisT$~GP$DpxHfjLa=G-A7UE8*|qnJB9}GRVkn^M9&lj%(T(^J}O|cx7ZZr2bo0
z=*zec<;7-@*0$O6?X@DjdY<=LFO^3;PowzLJTpvhNWN2DrU;j|#g~@{C}20g_UFYq
zKH{#~r3YpzV&lyQpWyk5*iQSt%Gr$%hK}(^*DOWU1dmjPODn<fgJZ$OcOI6V9cgJR
zSHzLzr+bRVl+Y_;_g*rQhwMk=+}L(SP*afVF(T9l*Cn!qo^XEIHPUBcZt>5U;wy`g
zao?f((7sn(G&~D<b}mc_&u?w>+Qy(D*`j1!Mx2m`fk%&=c&&u)ni^NBl`1#@PC&80
z=(cY(!jg;LD=PW1?m~UpW-Sw!L&bw7e)fgqrdU0q^Jm=`W&95S0RR6Cmv=bT?;pnP
zz4zW6$98aRpZkbHk|+tu&MK7<NwSJ0EmTIy_m{L#Dx=II6;Y{FX0pm&A%6aSU(X-U
z^}e3xe!cEJ!dZb46XIyCViwPQp@-OSpW0+k3&AKucW|$pB%TP~JlvPA2X?8iES-cf
z%rEW#b*WnlqVnoK`hI!{JY4kj1eXYo<*`gt!({NO`*A<bS`W;SKcewR1kK6s9&vNY
zA-%3c;=PU@+GRgcd-_GetC;5NHYSI4wv#GPNqT4<id#83CWc0(-KlFG^00JQp6^l9
zL)ctbejkejYC1nPXf!B*((+K&+*A)WC)9L{sFKL<-5T<uQW47oiVhun^dP4HCdD9H
z3e!gp|4@9Y1a%klu7cBg@a+31_vD>4m{w{I?0lw-0hTA4B`@`GAmBpYZ;C9Ww@9<q
zR;eJ+BmM19A${!04`99OEQg0l#kFSDB&c6=R8@=Ahgyq8n6{8SK6k9}us%_Rs^a_e
zYGe9XN_sE){i{4U%v4q${f`XU%bq`74;#RzO!UlTp#mPuDwdj@QN!80OYt8$sc4IT
znB#pw5iRWRLKt_c!@B*Mz>Z2Pij1oB-%*u7(%gEAnN<U0f9Ie6J7$RUU5~SltSUjK
zE1+pUTLUHRXM7IW8sS#_o%2T3%1FI&IyZ%06aH5i6%tjAL3K7rtO--W)^~NZN^?y(
zoaavR7c>EX_wiG{A|x0n{j)INqKWw1lw+|hrU<HU$%(j2f(ub`<cqi_%Kn6o#r`uz
zh4jeA5>@e2WJhOPxds+ecZMX*n&J4TYt|MQRnc*Z`pSY|1Fkh+?^_R=V|%`)k@XK%
zuykd-^rx!h;JR6qRkH<lq>%TOv6GQA_%X9ySq<~d<+9S(2+S&)iew6t(K3?d&pf0G
z(ZY|90@VTi`PYUG>#A^VRxIc}P6F>_jb~~sKuM~*BG{seQHoCK#aU&1v1WW*_X3b{
z-koa|riysMk>y|)C8XU=vidUx1m;LKGcA%Zd8XV|?x6yTC(kgZ2+$yL{E}slHwj;F
z1pm=zlgBl+L%CNKX~?X3Q7!aH1&6tz{IW|14bQ@x>y&5^;La_LnNUVmOl+@hgCu$$
zJFc*b(%|uR%!4MTj7OU~wL1I6V3NB}>%$7Lr11N6v%V5uG)VBgF%v<|<y*eB9|4tv
zUwK1p6tVN<;y3Ldf@pd><(zyADBx)^^V+R||Ap#mH@)OX`OMGfy+OdU=&rAs{_^-G
zZI?7R!3)WL-9M3J;Q3%LLsFz1hX1*~|JBb0pXVwnMa=}<LX@}WNyvgN<#&akCkNCn
z^Tp-r6Y%b0Sry$QjbpP7yY9QO!Q*6qlzy%Sy!L6-SKgDvd9NV<UGG@H<&csSN@oF!
zbE%zQ#3XQlPP%BUgc+}&*}4DmF-M{Oq{VcB7}iAMJ2gj`5PI)WJ?~31FpU|9Rc{hS
zy#LWJ7BNh4qQzGZlgz+CFki7|7QxTG&tK2GFu~vPg3$JKQ>@APD)S5pf%r-jl#XCR
zuvM<o)Qk!8!klKL2L%yMYrS>xEfXjchLPJnOh9ii&?C1l0PidQPj<O5<CF|}@5dHn
zDETTT#Tp5q(x1*Dg^L9NOFPZq8yTbgr(A$v20t>pD(|?BvEaX0(d$X~jL`pWTjuyW
zAHvU3RCs=~qTFbjUscHn9~t_u3a0bHn%HjimWLhg!`^OV1%~MRRHgM*mk-<915R9Z
z<iMGlinK*pLrgO5%ZlyeMUMLGEoP;hs9)!M9#cfcRD#RPqI6z7pSXEhS(6)Q3OHyt
zG^w!Zblh_|fEN<}#S3oDJouzWACp~efRxdxqCKI!8~L~XwUppPs@-7nWd{Rn=}rvf
z%Hu`Ay))^;>ip=-``OU(OCOG;%VXh-yvU}L8jV*GK;+*>>kCQx_|N|5qPsaCtoBx~
zR8s^o$2zu6MpYjbDHS6!mp0}Cr6nbfLI~b@yRNN657ehm!#=F?p)bs-%<_~l8dccJ
zm=g5hV$*slAch|Urw>XcycB_Q=Er$$V?EFYnw)z%1#t4D@Q9y`7>b{Zy=h;hz`=z3
zpnI7Bj0O33eoYt0h1}w(qc12p9$97086t>@>CZ9c{F10Fl^(4-w=oY+Xw@(lLY&`=
zhdKA9kZgTGH#C3(UdOEjvy?D8oW3eAddZ;W21|>jEd|FME6cwMieP9!f-);C2QEKh
zf07{uq)_RFAvsZ;*mp0TomCz}ciIU-T?(2{eeT||NeuI?=5daU3SfDBJy6()g3ei%
zIHlv_2n)E>#>AnB$)JZrj@u~M+p+tQL5l>ss+)^f#Fg;;RI>8l!xU(9pU9F_lfubH
zjff0gWn3~{*kXU10)NIAmEt#~QTUCaCfPv+8fL2x(<Ue=E4VSnMwSINUr(9oAPKFC
z-)zTi^ziP&dfE+dIfNfRs~4WGiVJOw%V(eJp-hgB2C6(fk2kG`|3}8&w-T@Sn(9M7
z>tD$zp8}}wi`%;%sev?5S;+NCAN6Gjele+l+q3dsd1dPOG+H(?kYoUc)0(s+?-fDk
z@FtZrM*}ZMXRGemQE}b=e@xb;N|+qA?r7boiSI$@{yVK~h+i{xne^$(NC>yIQli(w
z_Ibm7eS$_f%e0=t=%s>z@%Txnqgn`z&D>%vXp9)n+%#)d65cv&y)#j!1yS8U6q1|?
zY8Kz@itZy}Ja5`N<dGH{?D<mcsHV8LN7_*>Nflg+t8GQ$TG%C-?&;}hh8g-mi!mND
zE<d<a9W<$l?a$5O8E6i>SF2l6V#)aSOe1qaSra#;c|9AWEYLhB!cBX<!3+7v<M!ej
zaQ~%a@;Qn?b;c$&?in%|o@_tAyG;$tz1a;My1?+5{N;u@G7fg9es8lU<MfYn?Y22U
z)cq-X+xKKp1%$%8^GUEhqW@cG5^(y*<5ZqRhRT$GUgUda9GFN^{i8=igvR(mnjje&
zEEhN*Oeo^bVUcG+{xqD?6g=e-rwZygV@xfJ0(M?W<8)1=L49v+L&$3qcFPQ(vsIRZ
zWu;8KN(K$50{F6umsB8oUa69NR|+IW>A%A%G*kr_C=KwbV5M7CR?<=&*>{V|b;4-i
z<~B$-7gfezqVDLJv<QOw9k2eep&?(lDrk{U35A}tu^byg^i_&`nu^e1Ww|?7oly~|
z1}}1bZRUf6SMoX9SHShpyORISZ1Bu$C_~Vc8^0qI5```UIvjZg4TEy1=KQ2moym?d
z<CwGp8{l5T#i)YEvPf5dp`)700zKc=-CENG-YqE{<$ENJ$M)s(KH^L;-}c>q$c})*
z79AbQ7D-UVuVvcmGr)G8<yY4Y3k+Ty9q(Qghx$mjddV9)tPLdYrkgj%GiFmRS8Fju
zRJgI*6s{AjJZ~8mY|Qawv$j)Fxd<+P9v8ZCV2$W>C_giuXNE5IKPoE_#@3JfwjSvH
zN9?<3D%U?}3bs#ndk3ckv85`DV$k=GIRDOt66s)yhT4!rjtv6%C3C}JllvOcy`M;>
z+%*AH;fJ33$NbQ{I&tEa#X502NwGYf(*!%?7wY$I>}#ayaqLfXI-LF}8WS64jJ3Wq
zJ5*<Q(L4V<g_V&Wg}m+sv7e1VZW!aYyugF91yk<XQF=IWbB<?iG6Jn(?3RBJH_r7G
zoSUCufW1)U?9d}aXg8Y{_C|5x`j`7F0lZA$ozr@KQq>TngIR9uRh)1W_Ag4aWrkw;
z;@e|4so>9R$nwzS1Yf9h?2%j+9Lw+;8j_*ncV%0DLOTbz{*z4q$;t-Ko!2dUZWw^~
z80(Z*J_j-`U-@L2&JHevs;*el#$0E#NhXH_bPuO1Bh)xSdd+>azg!>Trr`>j)f~|2
zplkXv$b|&Kp`VmZ`tUoIT4lq+iR9aJDdZ|1<mwlC=6}(H`tR|S<HtCW7}qOQvzrgA
zjBk_O!u4<}>v*;lKNp(vj%RTB^5fddw&B}?de~8taG|Z83-=;FmTip}fNz=pjm}C6
zBxUb0pLooTf4}s+Ka>ihpF3|&ZzJcU_S)Qct>wXOY0gxR1tA#FO>NZ|ryzlqNb8*9
z#c=l6ACDa(P~4JUXa7ML+CQESw-)ii()M(bZj&e)PT1wKU(rQT=xH7J^J7cs`;y-6
z;;?rJ@Zs90i&MJqJMB#buuqAF<Ho!Mf;PPs;-To`r>SF6qLLsQ_d0%yeIf;=JFGGN
zJh~fwfvx7Gk`QJ!t76SA$soQsoD{L31N-zttlv$9LE+7oRoW~EHpeZLPop}BaLZ;Q
z2a4cbGil<Lqde~XW;N9q)4^@`^IQ7viDJ54B11Ds0rxJQiE3QZL7LL~fnDt4Snf_M
zx|*Sg%?hiQ^rE_OI}}7JIw1i%Uq{3CS|!Mp6zBSH*2TkT)2!ForI2&0<;34*W%xx`
z{75{bi{#h*D~0!@ajo94;G8)L$H{RWOFg>KN>=r`<u8l>?wM6;Y~-$oO`(m)RtjXg
z!wL>xmBXGas_W@iGS*1Lgl0Ph<V_#t=FZ5YZi1F(&8dz<q5WM?L-eo`{rFnRNd>It
zYJOTIG?1GSSv)7Nj~_lp%>Ks}VPhv5CE~4#`9Ot7-ZT10-{HH<FIoxN%va2X1GG^7
zi+}3VcLPL++U(g8sf?SK7S3O^)`sE1E=H$5DjL%s#+n>d!Db!r?A!C&c=G!)N9VF3
z)Vuh}*F8vB4S!#tMb!br|LhD@$i^sPWZD;Irix4zlK}-s9UN0q-2XMe1YR=w*LJay
z@gu_1=9<;U6JQi*)O=tH{$%lq+Nuq{>~%Vn$ftu$pSDcuk{N=z*wXYI)UZn^PB73<
z8}$>1&kLDbAXSr^bLqJn?xXQdr1J*XC|oJKjuMCn@M1o~qz;xSF)6JX4U`&gW305>
z$WPNlC7!bC@YCEk5^bZ7lKP%St+zmBP@{|nmpXV0oqrE|lOd9HB9z;dhQ}`>3guhX
z;QU{Q(Skh*IVrP|xtD3s<qxqFbW;O|eXuUSgffQQo7crZ(;(uKS>f@54E@K)-gtK_
zfb~+`bUVEz1`|l9UM#D^OPPcDO1>O;%62^E6}H5TQd_=)kSab0eO5>tm%@vk+UCLn
zme_eYy4it`1dsT25u2}KP~G8j=<_lSoJ82dxp`$Qobnl%6&J?uZj*?%4jQ!nluqnv
zRf4I))zqmfe(*i`A^hwr4PWMuBye3(MDkGZeV^0ZNF;@3dGDejC-|>IzPkc4-p*UJ
zg|gw!uho|0tTYf}y;VmQ<<V5%pgkzh1mzW<o5#z6@C5#qlmS^}zN=pCx=x3k0lYS+
zT>(!UUi$e98-3jOqf=wn3ZYQ0M*hA);I*+-;%RqDtbQ=+QZ!#Aez5q`I~f!BIyvVc
zY_;)^+^f|JndS(lG-_{sj0MtIFeSWQbfe#=Wyv&86E)Ko^;0$G2yBr5*Agd;z)b0{
zhF()d-ZutAP5KQUNgBxcd=x~fz1W2h9+O1K1I`|Q8#7pI>snDA1<+D{>3k4rk~qiq
z)WG7BDSmCIZXTZI!?n1z=nvzQ#KAqf?Q#PqV1D&;RO~P>mWJZ)JbE!j^bI$~I2f4V
zll{L(_pP~sZR2c5zfBYTJQt6Tr5ht}^SS%po}6%1Vs2zGpCyJ3bl8|ijc_M@mAU*W
zJ35j|0z5y@5lLFvv3VQ4zLm21-_$lXoLLGU+;ww-XiHNoDSKcD=ckdRU};teI48<e
zE-w*{V?qxM#SD@0Zr0$W0t-@}H~!D}?lMub7Fwd5LPgAB6XL}lW|;hb{(<^)m9XpK
zD?PGg0P9cACuVAyK$RO8$~0dmx*Wa4#KH`)=~U@K9VaH}zk0Iy%QremJ~$OGFs6?^
z;e>7v_s02slG*fX3|JKONcRcS$FIo2&(Ee9u`;DIbS#Y#uXf01aR1SR(`jw*&r6J;
zv9dhxTVq0^4yUS2gdR#(g?`*sV#0&5fGU#>-zf0Dyi`Q5hd=clRK{>7Fy8I1{HD%^
zM!MU3D=$(&)a<8c8f1cZ{SSMeQFiRLDRzxfrNGr^?|F@*%osk&Huj*26QaidyUyFF
z3$|L{G)EN{>@m1v_oI#*+d^kvmH2G%;_3;FtiLSKdFr;;qMsM)AAbHg!>S8jYeu#3
z3091LQWCx+#1D={slT&jI`B3cu)V{~4yOapqP!dgpmjpp%-Tl>Qs1<)Ey00ldikAq
z3Iq{d?JhVhrh`2zV~pntIKj9m%65c97;hDFVjteqhT5DIgq67wvG$kgUZx1r1tqq*
zQng{XedpmDojj1{F%z)V7sH-cn;BHzYhjQap(U`351hwVJvldgD#Uu$tMs@QN=oIP
z_qg!m!L_`^s&2^*&aV}}H_?LQlL@(wFagA+w}dzMNrNNeLq{>M7DAJQBG_*VBK>2^
zO)|3_=-k=jN>(@g`u52kh2ugfKV)ykpdpXWwI-fCCN0S9(YkWWQ3Uzhi7S8n6p-bA
z>)%Z^E#$9WemDJI6kU6do1A#4h@wUrN9qwRjK%w(H9jB?DZX>Ak2#caT&47acCQv_
z3B?>;%92=9`N%wQR0Ul*-1g-W+K`S<x>>#~g{IV=50T>}+`aU?npau}y~*cqsEo_N
z!I^xoE0~Oz!R&J}IXc)XbpG>Dj2vROehws0sKF{TnChgx!Ohd}Z;{gFkq&JotuPJn
zDbem04eEkpbA9NI+X|S-x}_!hYoqUI1i5HErJ&}LTG3>yBKR~T-$&YN!{><dp!{7u
zgvX@O&Ce)dLBJ+caf=Rea(P>aYxTi0Ao=FGqzV)qdpx;5>cH|%)5%YB26$H*@-hY_
zuwGA9sIt<<o|n5M2DTVN^{kjmqPr^A&dM*DUev|@#2G2?3M0r_=KBN%kWs*p6xv;(
zi|?!5j_rmfDBdqRuDp@|L!}lKg?Dtpw7}L`+iVI~E4n>y+UgLrYffPb(uH-8P~t|R
z$K1B375947!Qa3qc6fTjGxQc;)Q?)A!o%`B)msCV+)UR8Ep-s5q}5eN0pu7g<=0C!
zz&4?fb+}Fotq%k?*YpFmPTb$aUu$5%U8pHGUjw6OKl{7H(vZz{)8zea4SdX)+1#z8
z2G`<mv7`TJ*ummQ3fQUvp7`T+`ROE>L^Jzx_*#N9U?8iyLLCpt7j|xYt%Ugbl$Wh{
zEb(2P#CdE?4K7tVtOINEsQyE3YVWXwm+JvRrAab4cReX?KP`iuhcs7BzFR_e>CfB7
zR#j*Oi8a>m7RQHkUav#nSfZjk+14$Y1pTuz@jmH7sMg&7_g<kT=AU!t`;$~4pLxsA
z+>{S%io>0+{Vl=ft*-4;sf0C`Eb@VVHjw{|kf{-~1hwX?pVuZuq=vYcPI)tcY-QHx
zR!f5)S7E@TxANH39LRWU=r1vRb<{~|FAa{pkJzf+<#06aX@oEPG@-7zHYYU?{JOGd
zBx76}Pugxv9Af@SToTY>Ye)qcMz8xTTSy{;lG{)c(Mg!L++*dG25jGzTVz#;;d^`i
zNT5v-;s2z=a?Fc>BlABcXBQESc1*_7sn^$%qazQgrddGJYh;VGq7cXotF0#j+iQ!P
z`aW!ZYL0~4zdbig3t;g4ZX<^CA8G^R>vq_TnqkbYH*Us?4_0eagDY=7*7^!}4BnM9
z!`5!Pv-c_7xS8`X^3n2#+OAyZuByGJNDq7Q_NOif*g2YGVlH>omY02rPq|@&S>Gf1
zrxICltbn(@aOF*{{j}Y?wGm@Ty!<uPqQDGjgrpYpHP-Ie(lB19Zupq8ZPjHCM%+ET
z<<t2OWwmFScF4G<86o$kr)Y)&J-9~N8iNZn34V<5d>Sx>`<rinADgWcYKCe1qfM&`
z_O|&Izz~j9ZLYYJt3>cV;e@>7uZeftz3T!CsnFmk5{w`(6W3&C^URw%iF{UpbSZW!
z)`Whi=;$sH!h9TCZgqVjUdKvh=o~e`9n;08rE?1e{S&%<Zj(L4?)nQ#CkFM=U1ojs
zv*A3UC_lPfpE5u^*SX%*<D!q8XYG~+q&Y%l<`q59wISk*49^RLHa+B}n0)!;GE1ab
zIM?Mq9w8X~7-#%#H+ZzJm_V+ZA*Nl+va7nsiN%_%vo0+Zc;ykj$316=36oO_mHd;$
ztMg(_({>cBxMy5!)tn*DFnCJzYflr-SH+(xb?AcGm-g|2+6+M-dA#!5&<v5cW2<AY
zn=YFB6H-H+W{9a%^*b^i%n_za9|)ll9UMIMGhnoEhUoo#J(W3Qfp`)xC|-F?2c7Lb
zr-~$IiG%t39kR|W5mk}h(XY645XI4d{lT+YqQ+J=wWn~I=-TCT<B*LubjDRYZpF?K
zL0hz<Tl!at{jD0|QgK=cvXIWb6);cG39gxB+N~3THJ)qPRhkGMdGpONYJrG;x$m_9
zG#%D2zVw^>r-6gvFNa@0TqNS6%2y3t8IUSn^L?9*2Fzp{9~SffC77aqKA8H>h%?%L
zXWm^^N4sD4Ci;S9A|zez(n<m|q`Fwk?#`%T_gKY%x7#XVny8q}<iH9egP2H)vl?O^
zxzl~zyhdy~mrGftu|qpCl%>9!4BG%B_DMZDMAJDOlk(-n87v%W*B~QC#rSW77d>1Z
z!t2K?xZ$TTW;y#mRp|fqZXn-dfCV#WXn`yr*gYG+{!~*%X_&yxJ7P@OWZSPNmB5c-
z=3AeWD@mY+1n_d*Va6M^pj-uJK{$o_T^eyFK{#R$pQjfqC>Ao4sdt4i$mI6kbwvf8
zZOmSi8~3A%7m98=CW3;O2jBUZsi0uXmD%k(I1zkH+Hl)JF}xWuZ1@wU0+T3h)~y%0
z!H`^4QIshG*|RF|)OM)g>rjMO7!w}`E{7|s4@e>Z?-iqZLIrIs;#t`q{Ae$`^f`H>
z&pG}seAl*F1s~}3;wwK0K)d!&@G%~FJme`US`JbH@Aws^-yuQ}Pt(kxPgcM%HRgEI
zeHDa+_d9BnM8MzQmQyOC1RujsEKVXM*dJC?bz&8R=*m+M%|>Nxl6d%M@eT<p?N4(%
zxFz7gy&!IsN`h}*t623xRmA=oGP`do1)Iy07xry%EIP2fHaUchayPW=T#!LB%`v^i
zMIG|o%jDMEYM|~o^X5y69O~$n*Qq--QC`<^W2?FbdRnZH7JQb6{93%iM;C2mX4Aek
z{nNygZM_#1jTNCD&YbxEjt*{y<_7Bu>VS^b+4x$q68`ySWbMn>g)CQ(dde<cL{Fs6
zGAgK`@5#k0+3^%?z9ziAvYCRDQQ^PV3P|AEd|@JbvmS!Ci*+w<cxgSkIP5=3GW_Q{
z{n~!&K`UfQQNe_YrCAG)#B?=W{U>H}ce_4x<y)*Y^o$V2m>zh4L>;!hVzai#^>K%^
zynNl>1bjYPyIGVq5owjqrLtEa-hxdzHZf*M4!6y%G|+<O+x@(b8@~Ivp!8_cJqs|c
z*`NQ-qm9@F!#6D?JuEyr^lg72@SFQ-TJC?^ka@EEMiDm!{-eEd=YweY@6j&)%TwBT
z*je%Y!GAhPIbFS_eY+)`gFI|pMzx{9@PPT&k|y#WmRh+9Y{J4Y|IhApZM;4yxNC>C
z8dMbrvcgL?A;QJdWa*n0UM(f@R_sxM{m8<cf{+zdr49-QeAC3U)V(n)`xIbe_suie
z!3sAbwKR5L(g51Oo#<SbLiqN|1NYpm@ICM<rJ6?_y9Z{rq&^Xb>p^=_30PtJT9BWe
z8yR{jH-_l6cu;t|o4iVIg)p7yU8fRBh;oI9M<N55C!DT37jJ?iP5)qNwlYjE%1q=7
zPZRZKAvW43n_w)x5MXpm5pn{~nNdtPiGOD5jzTXi@rI`_kgiM~ABrebR|`gK4MUp@
z^NlUxQNhr>?Xv6!_jt=HEEa1|Rwz|Cm(gIBI#Ts!ToUF&J7@pNuh&XXSIriw(r|J1
z^cIV7F$|m6v7I}}P}f}O@5x*UXxlpPWu*wC*vHqWJCLdFTO-Gkpe*peJ1YrSGz1V3
zekIP~K671^rF(QHjlh8yd|@wM^PoBA;$pNPOWotMe%;2~Euf!0d#k2`9p4T3t|yeS
z)Wv6o*az=7$I<10K4uAKIC50A$d<Fz84pxHo=Y`Df<0?CWg}0|{<xJh8OKs*ZS*=g
z;E5@A_ssJr1TGT?j<LUAQD>>UTlFDO^|uKW!k49OpUe`Ho!Qr&UNhJI5YJG~QZvDm
z%}JaCN5=`f&(#(;eVOZqLZ^bb4jbb^&2r%WSA9g<VC&9TOw4sW)gI<EFN~1G=RkhA
z@RpE`583AOn5oXg8O6^9jnHzUxUD*_sMaecnvL%mQ{Ddo009606qk2A)!!e-ZLYod
zy2iCG?!8=_`!<s(s}d^VTS+37LLo{*B#M%ikw{8*@;MoikQJpuMoE;t>F4+Vc|6WJ
zuk${y*YjmqWl^$pMi&%9oU~L1x-m<^?*B}knb1!qfvc1*9T+5A#l_wq#v(U7o=e&?
zq58vR^^&?eppcnCV8H#r(!SU@(s?qWo5vO;PUlkL!zmR?>#N_`f17S+%Tk%pFHB--
zLXZl4OnDN!!e_DGAaTJvf0)qzuKpixaoVs^cr(;@aUPTWl79d@!Hh;8u%{NWXoFH@
zPoa|a5*9~R;xl4mL4@y=`s!#c@L-ib8ggv~BSr8ju{5)wC%629gE+L{RMy;$?6Nh?
z;LS=bv6vO%(}sS2O`$*tyJ0Hv%LZ0gDg0@;iVZb$S_}M<qd@Cp=U{1;ZLIEPn11*)
z4#|D1ldGs8Lv_fV(koJQ$iQb=<B<&qD!(4nZ)Hb@!}%Z21Oh#h8>~x{>ElGAJl1v%
zzeq40I1+r&p8*Z{1>5q+aU+`MDFMeg67-ib?hPqnMC0x21v7fQ=rhZMaCHg^AkE%R
zXqyS0!drCSw&X)SKcg}2*P7s$aa_X1n*}w6CqDgonji6k&+<3CCd>z{HJ%w`MY9Ge
zzpp<RK)XgPzbPkcz~Pw13pc`Wh$tAaCdw~_4jj7D&d;v_x$$Rj_v>+>s}6*5k7Qw_
zlwuvwmZc6(bH9qygt*WW&;ES`9Z_UHTKKBcSREW)JIMT^JP1g`&BRSH#CY2;Hf)9n
zx!W!q%{jct{JHlP*`E?<QI^!j`+^8bd0hep9en6q(5Z7_t5RsSu2HBYmI(f;jE5}w
z1kk|6rVq8EvgkiWwxQpbiICZFl9zNw5M3&`GkJ739(lxVJHFjnU!I=*t$#uYdDT*m
z=q1P@{FedyhgC#aSAEeK7A%6cw{DDo{UMJS=k20&S=GTocl{7iRSdPtuGHH*Dxx>%
z%)8!QQ3oa4rgJw}#gUo)5Bh;l0veOssvVcn05RK%xTbMQgcE!8?9Cx%RHn<+aeQ6_
zm~3J~eEvwI6+P8a!@nx1wyh+{ZCw+*nCG60#mb^Z$G=5<v1(|nO8SL&CJ9_83DoH)
zc+~h>XDwJ>9sP>%kE0$X!+}Q(7bg4UQ1?CU$X{g|DD7ak@?%p9FfUn$C$K3XI-YW|
zO<@v>cPFwEcWFV$g`lcvQ$<A1s_vjPk&u$wOZkHV+A!Td_g`En0i_!Bc`CY+(H*Kx
zadaIOJhQK@xV=z9`$uLpEV{|)N&wr(SQTB^P5S4CeN{%AshX+vcnXp;%k*%1sRt6h
zWUKUL6?9`IdXmY4f@Z!L*pxXLfW?)=K8h=<=njsuews`{r@jlBSuz;Gt>&~2a=#jS
zuBvD}GfqbF0X1={<;IXeEp5n%BO)!=bk|RAWYi&=_2A|a8b}6(viI<)Ba%^OX6QW<
zx-jsC<7zNK%nw^@2X}RpWp}ZAo1}@1Th_jup_qc@_n<Me)9OfLmx#faZX!xKfPYNi
zX9__d9makdsiVR3Aq-jas%R5EH8wb82F8Qs@{=7zRI%arzRN@jx$_Pwrq-Lm*O|TS
zzIY<qO@GLDpNRrG{d*(!5Q8}w9P$}lHdI6B3!Hwg8R3yz9$i_of;q@v(#1(AsG@TJ
zkDAK`lBkwA&O)zb4i8k1ljpxHBVWb0>>}zSXjURWri{}Z4xJVbyA`H{Ld3EA)oT2R
zrCa1;&Sx|5J|gqPosobvy`6S0#DREUOG+5sF$0{V6fHMc0b&0=t)4AsL{*k+&$bNA
zz*+L&Cd-r@>Z^OUufSy;Q#Y}CDEY}00^4zijNS2Q*YnE#T7<vY=HRU|CqGkIe4&La
zE0IAxSEqh9RDZ!@KB)UQZvjaBHM(`OUJ{Mm`Wz~xdK3F*EIzOpw__W|gAo(+Vrcc#
zdhO_?URq$%Tu+A>0PCT(5@iPw<ep$qSI_jFHdg4$a>juMFM1372;T%zx6`%r`)4L-
z)EU;5edkPoqW|;`&wYNhfJ>@cotUKYT9_Y=cwh|JI9@a3Ixl)Q7_t=OI7Q>t?e?y2
zF@h>~>RP!47kZhHvAlG1iZ&g%pWS}L5c>I|eS5y(P~8VkU6cM_wCmC}Ebdf8n4SvF
zxZKWyp68bjNnDtuwYqMtHC-@(%jp3JpYkywhw;bJ!uNmB`b75DxYX%GT(NB;%BM$%
z{>sEPpBkt2Xs$f%XVZruCklHU^FOSahY%>kK1z!%F|u5B)q{w~uBTirH?Xob)=S|s
z!?a|>GeJRRx)72eGq|+9g1M7loK}+@q}e3`j*CYZT=iq#v=ElCucB`XrxZTYMh<Lx
zUk=a#r4Pa49WUmwcydDyw`~_K|G*ii*nTQ#B@D?{+?~Z@9VV?k4O(d7U1d@Xrc`Ks
zXVda4X$G6}da}zYq>k2Z#%xtystpsP40j)0pTeYryUuvtDWGlq$>0i-(+0CJhnU9Y
zpV&ijx?$N{DcB9~stMWqTENnGVn%#m0^?W-e3bgR95Ycc8cq_>f~7{DMK<wqEb=hk
zq<!TL=3jVT;Ykt&W*?MQoh~26e#XbW-v#fm%G{fgy9FqaczXTIt%u*Ss(!JCDb+5_
z$3}|TC5;U8DT_`_Z6jEpZFy&PUN5GhE0Fg}mJEzJn+aLe5e(lDuqRG<0L#|&WjOql
z1bfL<%jspqn8?&ShPs=B*ub;vMg&6=93lkbIXs3j3-Phr)2u_7TM1_j^8-y_md7=_
z`3_?(J~lC79V6KHdv=NSjT#Wu6s#!PIgI@UM&9UxQEb~?c8}A7I^fn$4?Q;>!T3#A
zcF|JCv4eUJojJ<tAf9_^VzO}rV@clolI7tKY~KNkxL7YDxV|bjE<ODn3n~e^d%AHF
z6aKd9H=C;lmJ!a*j|@k#FSxHCf%i8i)-K6f^Gg*98TrIENMo21C2b%(W(Iq-p!%*|
zTNN(yaGr>^8^`8TKgL9f&0;vsV~0ept3YJ(N@n(*32fOhT3#b=4m;dITe&f)47;2d
zytEj8Vs6_G1ZJrP>|eU!HXl_P$OhKOD>5gsjSYS^w%$d|s?saEBt;2wK02BaeW$P+
zY4hIkFP5?3)-4s6H3FDEEw>{1PGjr_*88kquVVV+cUFYF2oUj2Rd4>$AM6GTkDSNG
zI%d_JbAP^D5k3UI3CW3@#hkv+u$?=*h0X2O!x*d-;Yp+P<<1{-80&5Kn|=IrNR3{x
z_diSlUhtpq5jnnqc{NUd_ei8i16xk~)+P#2{dk}HGUpOz;^uvakHUzKCfEy2G{}QH
z&#e@j;bkl$KO%Z@hdTybhR0*=<YB?IFY5UBRqX!wANi1V7Bm=dRGBd(2OplTKM@q&
z!0cV@BQC4pP#&Qn;9-y)=+2$MKZ@DHN-tdKvP|MYwDl+jg0LJ2imA_?lcYo0_>SPa
zy4>j6_pB_sdOT1QdT>Rl^vEziKG-3N7rCmz0a<@MsMCFQ3)W{uf9*yJ6NvmM#B;m<
zg(@E02X2PfGBcx3@0mCG=LAq`!%3XtyeuG}qxf_>R<yVEgVLi>A;d4KbHSiR7W_*4
z@-sDX=wx&4gc7qTBDtr$=YJ{-)mo3)9;R@h_D3UD1@7WVd4T>K<jMjc`<vHQJLk*s
z@!S%hkwoSmA*@5CvcPPSv|gORi-zvUr@Pe3AYPKfeD+6KaGX?6j#1=Cub=8LPkP}|
z=*x$E%c6Mjf88i*F(!aIcLff}ampk4fjwiQ;do#_SLd4BCWP{n8$v4k6_7}6!iE~R
z9Gouht~VJHL27OG#$}BJwB<X|Yuh0QJ^f;0F0$fC$;0*rOOG-lIbO}rY?24xaDnrW
z?nt7$+!dE3{;8rLLp33mTME$dJC=2gDucR0G~PN`siUC>49wP732^(OLnu8n9);g(
z`Q)FiiR`CGhW5BA!-2coM#rM%(BHBWuB-H96p$7~k-Db}{M33WHYo*^E&L^5NRxtO
z%HF}8p*mC#oyd=BRzybrtZthQTFBl%YHyJ$2?9)l-&KStA?J#03te|@B-^f`Gqga4
zGg*})2~-v2o}I({5~yfz)e>=JZHL1{%Vs}LtD=E4p260?R7B2OExV<!1DVH8+TiaJ
z(M9r<+fNrAWa7mw>{_e`E*Hm0tFjuXIA_Xz*;fZOnJ+uXni<0NS0AaiS2dAr6T6YN
zgbvCxE&Dt@Z4CAMFE7bCk&uHLr`(alRCKJSbm7Tv0CMRWMr}kwqvUn%7ENu0Z!58n
zyk!bp9dp-L>B#8r%jo9ssT4E~Cl7L!n*p(Q_a6c;8GWw#bM;j&2~B@D3$cA}4$l`7
zpO#LMP)fW|j#dv5#a1}JZ@*{(2U%X-RJlz;p3c~pKo(`Bd8>-D#Apdm!WTOKGLTT`
ze}d{{8F}=WlF;(X(Gt$YzFF-{)Ig&mjec`aBvCr?%JB!sEg`6LQ9-1ghywPZ3anHB
zjjaUXx-2ar5^-qizE?$e^^?+FHCU09?rsg$H46x6uWO&qR7L}5$~P`*&SShDn!N?F
z77(55_NT;!fKp6ya`$oe(;6bB<Mo&<K>PzPIB|zRtzFJ3uD@TUy^^C&emP?f-R@h;
zQFVB9=Pc8u_$@}L*E_t))nf+tq9%sN{z;?hy641{MjY%VY5jVjWd?Z<B;%~B#L>Ou
zw{AV$<bnu>9|<L?rtsX#UZ|y57)^PpckR2#3q{KNqgm)p!R*_M>tPf8Xgkl3ch-*&
z=30~p7H0u`&vXUd?&e0jaCLF3|M)=pi+<(79vaYv4L<+o$A&%+l)WYI;)io)vjzj*
zCg4weI9{E>fV|okrFI|U-{G*e&zU2}&~IAe{;6^u3mdF(<+A1nx+EowzAYp0WxS()
z)p!mwVU0`ugy)Ck?CQk-l#RfTwcz%Vi{G)7?=B@A^L+5zUlvC`Y6yZ2(VRT5USL5l
z8x&&S@PX0wnPBN01HhT8vO10T)7qo=IIE}f!FAWV&+0S!AUjUbt1bIU!_m^+R4?&?
za7t83n3+DD*mfcYy3Nr(-pr`+ImrjNSGY19v-RNDY;kIf^D^x(x6E|cDLzmlEJ$#%
z=mGWPTuSxlb(%xow?pAq`QZ5xEQowg7f2sYsvg_grg`dy3(-B}1D~N$C6AvvP<-MK
z|J#%FFw?Zo5je*OMf)kN&Yn8pKh<pHqQwYzcZKj4+VVs1eNxHr7!`QUIR-W-n84=W
zA67HO4`+{c8UFUAf<$ilTJa4QF#Y?>4A}}m`fi=Pz;$i7;LaJ{Cd~%JnpUGp^8yg^
z;8ei1L~U68eEARc1r8D!Ru-kp1Yw`d7cNsZZ8$=8^Ru_$fV^$<-p)87xT0H|IM|^D
zC+Hr|bAIE5$CI~(I3k3>(QEl@%0(?`3Oh<#59bE4?qA1fi6S6IJ!SY-Sqm)u{p1Qn
zd4bO{K&`(<6ui2bl|Ox_Kxm-*uE2F(&|}d*Mxhf2@1VUt*0~gDW(mkv`^g8ZKF)vh
zJte?eh}Ejdj{=rnzJ!Y-{2)^4`px^hBuGSLHvPYU@!Q>a*!NQa)_>YGp1&*&y42h*
z23ZPpOAOaM+!loER+9L3F<JOEoFsM+M}c_GcL%l<h2epBm#_pQ9=>bGpWXkD44XPj
z#}<x=z`YX>cr(}VP?6l^X~#f;sMmC!W<{dVb#jXwwkZd-gOgb~J3N*NAMJeD#9{tb
zWM&k*0<g@v4d2wJfZ><K<dk3uxNG@Hflf{lL|+&`v^`FN?O|t=TU(N#+4?BF8VDd~
zu%)P5L;(xac&GeiY2fe{(dzJ0f`bA~?sw?5ppv@z&0b0tc>Bi^@@^;t&Nb>nvY!?_
z_KGGstjfa1BRQc@k5xbf@4VOguNFvix3pdRjE6m{@dnD6Dp(f}{0_UJ4H1B}DVQAW
zdlsl4(xL|bo@A#&9V!@&MGL4smWLjlkUiryM5ujVeY|Ruy5oEPGffE!U^HYk+Mb{e
zMHyQMwm#{At&DkTf1o0q&C8a-n`l7$X1)<in=UYWuY9Z9M}Q>1^2B^h1Bg7qcY-_g
zAf&J3=yALfB>3HKKE|O5@>V4dj3fH+K87yLcT5TNdvIUn#WlfNW<qMumI2V$M2L`*
zlwtV{i>}}g4M=`VH@Yoj1f?RW)4T)~FpJ7+xAoP46p<vtlBqG=!`-{`AVUTGI87To
z3)LZnAx6;0-2^l@K0Cc#P=V4F-So~(A{hKSo4WTT4ayi2SM?QD!C;YZM8-)C#ChNN
zyK4e)ir;vCRZ|sI%}e`c+EpOqH)l=WLjeA8@j~EJg*Q^?+`@&G;ntM(O}jM!^O4Fn
z`!*F=D&M1~X+!{)PlDI%%uOM&AXv21O$G9#^okztQGnLJp0_=NO(Dg6@C8S!G9;Xk
zb8T>xgOYBJIH`0~_%_dzdX8Ti7Wh~TxR1)hn2X-XV4*2IUZE>@rYXU{A8aPtYm(3s
zB2F#JH3hMIJq>wIJG^PXASUB02GV;Aa#VKmZkL?I^*U!os6I?k%#jy{?#d=Z*Au3I
zQX=XEtrZ~aE<0DLx&U~!RW+Q`Hia*XPaSYt@_?O82+c_31;HY+W!*A>Q_t+J0&zKD
zSE<T}R8AOma^gPm96+w|L_*}wKS8{EidPXEI0qUBT=oKp-e*2*H6{ZigPB$tDa<f&
zsywod4?yupp3_*D6#Tc+bvd7f5y-DapS=pE!AdSM>EuTVpugr3s*a-v*2|YT>Dx_!
zfJ?^{m&8ExU+Oh`@qe^=`GM3>NfVGE4EuX%i2_&SHTD9QEt-Xf`D)i`W2mZ3$)wy7
z1_SYSmHwIy8m>39+p^vWCbyj4O!Est%jT6X7tsw`S%vJLPCg^(_;s~ZtWp3Pmg7Xs
zaT_#+4fSEElZId=$Y56($`95W#~Ct$HfWd9-rTKtV*t&sp1$Yw+VP*r_PybDo3w#<
z>$F*E0~k8;ckzfXFC2qImbkDjS`}|m24{pmc-pTm{vz-|;Zn>?!;NiP<?QZQ>VzH)
z{nRsEddUR?$%Ey`4%0zniR$T?y?US^@GlD&$_WM|4c8C5(!+$fvATGjF5Ie0k1-GC
z0Mtk~U4E7U?3AvvY^dvkeQT+8doerI3n@Ron!^a@%ey@F^K{@}T2{>;9(I_DS{JXF
zWP-~V5%0LP4wy@<YboX8fTR1k`KA>M7!j-JIWwtnj+1mj(+dZwXC2NJ)Um>&V=_;h
z@l+5jua{xni-T-0v)Ke29I&${Tc{Rk1NYI@(`(0Yu=}d0HEy0A^zKD`b<x!Z*`dkg
z><k<b%vD6X$~i$rO(pE&J1v;!{_OPg9}d1H>3mvB;RcII_Wk7^T5!QIW`iw;9jejM
zY+oB*U=8j1W3@$ryoOHFZ7K&$BpTb^aN~pQWzo#DSro7uB0qL!<Ak@$YcI9J`C&0m
zf+cDf1=8#nhc41_LEf<1*yPT8MtU>#4J?u2;T`Qc4{2`Tm@zd{WfFqVU(*V|7Lj4G
z`GiZACl4r3S6mJ|DGY@RLuB3)Waw3P-lcJZ7jAw{&^kUL0*cg@0A@8Z<Y(B(QOJCt
zd%;G;{<0VxD67REUm<~q`=B2)FF)wUZ{Ca5kbt8C6S_<7B=~T{=!-Lx0A$}hH%H#_
zbsLp1hoqf;og;7U+s7>kqr5Ua;=iPUKjZqgPAUoB)<mZ0kc5DSlPx+FEDN;XnU5F}
zNZ|G5h&SFx7)<@4cQGChQ|gEF$#+Q5S<9e{uN47u((0A%XL7)NW$LC}J_$UXe?3f-
z7lYE5*CL+`$wSD&{1Z;CB(Uoq$Cc!ZgItc|O18KnFy9drKe9!F+IYToO^}4EHba3^
z9t3ckSUWUlNrop|l83L&OF?+!0j9Ull;Cr@a#wRM8IF}n9f)`(1NO-!ez)jU!1$Gf
zRDvi4m^Rpl^V@g&SzDIKT?bXzJ}lHTl1~Bg5@%9o6CTbFJaXrMs0I=J2O=fxw7`#G
z)%~ea4(4_vUe3=%=z6z!$%JQTt|EK|)>`D@y<5v!H#!ZN9DI84&9pZBV3dtv?NorJ
z%Z2$(Y?=^7AG>{Qf(ku?{LLqO6hY`j6GdZE6GBAVvSwFwz}pxT`r1W+;@X<U?cF3`
zTF<DJlG6h*n<?q*O-itpoqFX%1POdaju+T_=tG;fw<BYrGBAsDv8N@I;DndvLPCiF
zWI6Y`-M^p$<khcv%3&l3N#IJp!e|8V@{?@-Q&NT9mv|y0j7cD`esCbl)p%zf8I=pG
zRDpEca`8;ICKRr+SqK%GfRy{PfEZp4q@HZH<ojuW^~%N){ud1@s1**zN7bOb?b!3*
zKZ(%8pigzW0Z_-d5ngvj4NMLGJ;OxRz$>a%nt(HfU+0}w9^0uw%7oX#ajqTxU%dVs
z6=Vw1)zfDSHdNtqk}Df;KLL`lhv}W|JO1zE$i^L_3iIjaYkAic;O67tsZe$^a5PtR
z?s%^PHw)}q&#TG7=aot$MNKon_-DLLmz3f1h55+0RWgte63`cHXa?sy&mNoEPy$@f
z%&EIJ62LZoD^Y}O2D#d*yX1Zlpqaz*!(n9+5U0KR?7(jZs!ci4*|mxg6E)VG=_LSf
zPKTYH{cZ|Z$cp<7A{0R1YY(qF8!t@Uxoh$FktwvwN^ssVmWNUO$W}*Pc9^iF%e8Vb
zg_<sg$jntd2w}dYCL?C}U7VwWn09pVKJat8QWpMN?XUhUO25OYnxmhK0AkWiHi_%f
z5GWFxtRK2Tv%M(zw$c{htK&TRQ-&l&M2P(`rYzI;9F2IX{fPz>$<7ReN5o;zbRG9I
zjd|Kf7Lkchf;8~n_}89qDhgKVDgl=h{?N|Ewg+8vFo7gz8I|3;g@J9QW4G1gDcYmR
zso%Yc#!x3&h`)bP5NHAKPU*T&(*73Yi2v;}f>U?*=X-YWgKue*aQn%hw4sNd2Xlms
zK%#f8;(-kxxJ-3E4!`}Aw)=RIsQ(c|c<?D<Qsf&CWc!_eD3diwvmc3eDJ(Vsd-g-Z
zbOBr-`F-d}{>dpCYxlwUi(C58vS{kvYQq7<TtAgJt<$uC`=KXhob-X)!GXEkXUFG_
z1PXK>{iUtNNqoSS>Or-1YM}Nz)}4OFkjdviM`OF*e5rw34_01IoSOG$fswWrzbxtk
z4Hr{Y!n)H(>hzwt@#`}~XFw|?NiWf+F8#}C`Jw}UbWtYtrcB_=kYCrKxI%OMT3kPC
ztph@JPqq()?&SKt`6AZcYc!YJ-0J6QsZhkl9uPIk01FDvhQT*BXg#?45mOQs{uBs(
zFgVWuxKO3)!tYzOvC&uioObesM9O&lUY!Agan_pYL^`Og@Yu{z)`ruj0zZa18KCBD
z$KgYl=s`o`#BXA;7F^}ic@@UP0IcsVJ?cL)z~L2tu~o7bv_8rh=G0~YuK(UU_F6GP
z+s2-4&es&k?QJOD6U+cw_e>mTJD365zbS{>Qb2cz&-36A1C*r?T9x~;!jzZBrppK!
z3XEbG@;n*grK?H$wlWS>(wOcxT_QtRpyK&|%uF!8w8wplfdkC?Du%{|$PiNC?|HqI
z2@(VM=(lZi!jU7`x2Y-;)DLd;<rgu-bTzeCL6!#sQ@eBoj*`HX+4#0p2@B{kIUjMU
z;00o^(Ar}T60|uFFE4blg0zKUozhP4W3ra{kNL7Ds14axUKGK>fw6h#C`$o2C(!mp
zYDNR9s%YB=k?auigV{W^ToBlmhlbO3xY(oEZJS$w6Bu<|v<V;#OuUA%1*_^Xdgh4T
z_IobaN^6lwn-YPVbMOCqdRHB)cB2N%QXUvSaWCv+g&0I-#E;rpsDopj%f0+zUf>Fx
zKi!Zk0pjJ0Qs-IJ!Aj_AiuF#P7h>Mx<gAo}^^SdV2Zo413|h+S)fIqauktT({E>kh
zUDsK!b`qg2EaX9KtRN7|cI~n!;DL?!)opku2NVS_sb#MULFK}gTzVfl5LP{~P|vut
zZ;@@aLX-#`*h>>>u9t_a_dSMt_o)L1H{<NAsu&pV^}Sd|Pz1V~*{?bc>cCkOrWQ9V
z4&zUKv=y@mfWez>_oEtcnXht*rB4#fWN(DtQd9<=!v>AaL`}&2;bS(`Ck<jk%lC{b
zRY0EAPAox~1ddre(xaDTfs>1yPSaKmG>5{|8efv&^y@xx{S-XdC|Vx=G(v=Xs+Vrg
z`;%dvCX27Gl>;ID3zI85y1)6ueO1Jc0(DMgr9Z#qf#H1op|CMckiPp=GRIa6=v!?F
z52O_#R+A;JHG>3Ee_n4Y`D;UshZ)OVX95%!u~FT%$k5q%vR|^C3U_H5Wlhmakl}MD
zRKA!D-89dbKrvl-`#CyNs#F==x(1n}w#XnF&GOGKT@QAKHoWSs3Jl#_TN9F}z?z*>
z?mI05_%!L`x7n-;{LzM^HbNA@t=r6g9W;dh0RRC1{|uLRG}n(8#*w}E%--9_$6oL2
zLm?xHNWTb0N(hxAzD7n=B9s!9N<vYR`M#;7tU{qw$R=Bo)UUtqIrp6BIrrS>dEL`d
zZdxc(hhCo}Tq2zmD7us;bu!5u@V_?>*Y{{Z?GJawQb!8-<(~R8u0}xcNdZh6)&To@
zDy!f{9cW?EDS5gVz;DBZ(U7VM2^?n~m5sIGcUSP|>q3?gL?oViZL0|akvBNQziYtu
z{~eFeuC|2e=BTTlGMbQFKWWV8q6Y9J$tcL22B$bKymznBfVhjL=g!0^!?iuV24oQp
zsuv!&UK7%QFVQX!deRjj;tRhdZJGwAyN@2(ZLAKPWkv0*b7kS~yZ2mOyjEb`8?5z0
zO$`RGx<2#|l7zgy8E<EWtzhucyNX*2D$qI}b*uWf2-J$XUJ0hNf+*RGS20H!%C*b)
z?ElLTE_*|Uh2PP@>F$%^9r8->IXsrVRe%ddsj)Vi=V(wWksuUNr~vZM=@T`#GlAgt
z8F@Zq8i=lsU8)wA2j`;G8E+165b1Y!ADis6gtKc@kG6BNAa!2$k>}|}BJabBbx^1!
za0C<-IdIBA<<DPy_uRh`flqA?kPMcPvS#URt1SuhmcKVI3N;g@1?+{vnE+mU3=T^k
z6bF~hXrTV)IjPHgy!@yvz{exAo1I^az$>Yqz!yUOWc`mH&XK+ZRPtydkGl{!4~F@L
z)DDqPOC~#u&RD>g-Lf}d2?zkUb)Rna+z1(~BW+5SnZvGM3El_k_~0;E$HISpjGT>Z
zx5)lv22-DYp4?~54c4ZjVu3Sb<P(Mhg$y1uD1La`^>YV1eDqJ6V{;oL*-!t#E<01$
zd;O+&TmuWxKCt!ZFprYa{NGlb&zeA^%fXXp>6l<eLnVWb`i*R!iVPTfYYd)hQBIke
z4A9g2W3qyAi0t)Mv)v|X46c3?Cq5jZgPS>#L-zn<K%Bn~Ka(GyZ8q2zVgxN~Z*@jQ
zH;A#!>*`AKedK)FC4uYBhR|ty-Bsw_8gU}6izR=di&P3xxy>kV2)S*OS>JyCAOdIV
zl*Xf5$rRHaS0T{=S{r{yMV(nDUWjL=GZ{Z4U!KTI5u4J7isOpp<Df-?m3TV$w4sz-
zQHxdlpQ}D_c~m`CzCBOqeQ=$azI=)JTcM}&u}KdWBP$HT9A=5ty)9EVLQjb#;h>>F
zeLZ+?Dtp)L?KDxe@gR%M<R#I3WU_JeJ{2a&@vqgdCJ9+R3;B4}4&ud!g%))sDlG22
z>inP51mV!{)m<FcO?ZSTDoYmW!jpjR$;U%uM3FDu<iW;XLOeO|QNE%s<X=2gF+4X)
zxGtoN_0tUyESDS$vPvlb?p|cqtnDbl)opm@qwFA2xm>I=u1kTN&wjCPjE)d>RZlsq
zY=;R?YMx(wqYm^hkhy!GjS#=<6Fs6%jS$xMT>Lv6b>RKk;DoRbBSb?Wli*DK7@;ck
zOE|7k8!*W_KVNo~X!hdvWDuStQulZ6kDbthin?QGH48_HaR-5l)wF3MrYrgTX;CdW
z@75dQ=sZTuq;u+RQ=BEZ3zuH+bJ7GRZHCz&I^)DZB)ybh#602MSsl-FRs#<4awLvf
zP7t4Wy2ZVoT_Czz%zTcus>59RF`vwYN#fJqoT<VyOGK>H!+|({b?{}0x+A|jMRdB9
zKc6#OA@;oVQd0F+1D*j>j<D-9#MnyK$|kW@V({kA{{0oIz{Dp%OdmZ<>^=GC{AsB*
zBKjiPtH-7auDQpk@pkjXp|BO2r^`A~>bBLn&|d{!<i1uY3tu379ln*)*KQC_p4J@I
zua#lDu`#8sagi8G4w1X3Ne7n_v{y29mBIhuN3&$jWg<Q8S-AUkdf4-zhu-ss5)7vQ
z-89j(Li`9C_e;{<1efVVkAbifXtf^*@Qz<4W(~)i>1G*$%n!Pgc2N=X+}6*vhO7}B
zZ5%}tJ<M>YC(=DzKoK72S2V<2SSPG~);=^$v%>ESSlf9`0d~r@;?}VZB5ct6x1S*g
z^bfN*ywOyE*m_2%S~EJh_D)_!xq%C&PHeql_(~pJ`1EAM?$U#s%pMPKOI~Qask?7E
zP#);}woJwuYyze)q3KGm_~774sZ<^jdAMfE{59x1BZ%klj%tPrfP<QqeNU$x<eXlO
zWqivFX9f*ICv1hFeb6cQeYPAN=AYdhILrz%_i)dwy$CebFx^-`BnKiM!a}U79N^!3
zRBSd@3~okFM`Z1ggFpQuRXN36@Su0^O!kBXOqV<?-{&9)$y0Z<8L7NbT#&s#JXH$z
z4Djeyc*z0t`)Wzz5g&X}we26Slz~7NhPbeFIhb1#70q=Q0Jr8psnQ?^v1X&6Y(C1t
z`P6oe0y!bbqmD*<e3u87sqjYyj`F};oz&7IECSjVi_D$1im)@KnWcF~9!?GT#Daks
zuobvxf4Hj*d+rFa%{MB5-u)*+WV{5N@?%eku2hBP$niqcHbpo!^d!(>LlXF#i_|20
z)nTc!A>yi}GFTt|!m{Qf1BTr03gbLl@NKRy>vp{g$X`tpC~uI3xR)0$tElOK#cQro
zqep6R*zm1^p1C{}75Im5b)dlh;$pffc1_56>@U^bp#beEQS6ESx*+`ZNRC#UHfUFS
zNdyEdftmZ;P|gr4L<IVb=EYE;sbZI)w6F^7F!gEP*sTX&b0SZhI8z}ev?O3_qbk&C
z?H(=`(}$mlZ{knw)(43NUtg8I>L588k7@<_u&(=-b8EICXh+$tN{(wl@{8wvVW0Ft
zRd7N~`Ij+t(5~|JI{niluqn0%^}##8`+3JnGl=N6cm94x8;%|2?{c)(hl6S^R%-MF
zJl)0SFl?a%tQEntG5hpjNzIBozaHSM{q=3`mvlgGFj<HuOodJA{C++omM~k$QFf(4
z2TJ!REGh+4U_zRSZtuU`S0vQwil69!C$sOb<MUb&JE+W))@%h_JXX~;r*)wGh@x>w
zwi=vHy!E5zh&AxaZQq?BpaWm#$^&%&DuSsKOJU4_HAGj<KllBi1%(aIdmQ~_!H3!O
zYX<)ocyNIYsS%p+pG1$*)TkKne;=gA32Xt=^k&tA<?0}{Z9V)>DIXZ0xXCp#Y7I`i
zl2g7uRt5irm?r1Dj3Al(T|g`I-~KLY9N%SSIL~&V^=aQ6;gPxH<r!IPFrMw`{~VwQ
zBQM2W-s`<5JA?t6u315wiiJ&)t~{JxG`DPu`9ZGl*Uo#wVFkQ9oc$g!%EGZ_kL~3f
z^w`MD&h|Ef21(9MI|n)?A+v<#3adB^+RYGuehpZHVDrPFkFUf)YQ0J6L^nJBRG!SM
zwXuXN6o<Zzbs-Q>xJ73c$c1suLfm_+0Y<zuTUW#QK~-HbzDk$}eJ`unm}&x~XWuQ~
zxsMwxxcDxgVdcfO&BGt&b`o%{dcN=cK~^~X(Lq_%iWeVQgajPfV*!>Ns+vRV3?Ppq
zG=C>vtlW9~R%WO<%)4)uo>BQtX!Fpz-A#DWb<|q@R;C%eneq$Ib6p~$q?Xp21$ePY
zt7h^Mnt~j^g3?6i7_r0kv{m109=x(w!mn-31ggXH=DrxeBb@71!Y>`>L269Sw{<fU
z5EZT^@F0>eqpvI~iSc0bfA>BfNHvC$U=<n<-B<F|8CG590dC|NEE2W-Vg&wa)}PHA
zCrL|IraHGeZd9@0WZN(?f?x-UBf&8X<n_7b_`rH@6jz%+v3}hUjJwBt=N_(*^sS~x
zsNcBJ{+`zF9yUWrVf3juma;}R9juJY*X6;WzjDpgC<9>RiU`dY+8_;zeuj3J^5DTK
z(d~VU`f!u(rphRl4u{-+Of{<VBKM7V`njR{uuClY;^k&~+?wE5{xgdgod&(b-Iw(s
z`n$7kgxw}2)7QK23Gv~NmG%wZ7(H-vps$K)VnqA>Y7KiH@L_?N<zOq99{ASAaBnqa
zM$_BP4=?-hqr@KhmV#SUnAbHOo-Sp<n&(TCiy8u`RN&3<n4p5fX6<H*3L82H<vnHP
z7sSr2$RT1_7ucPwhZ4)!@%385^cg-OoRLvZOiR;+ZTsuOSS>kGswFvJPD2>!xBD&4
zo9e<rww}+|$GFhqT#!$JuLzzQxq9yN5(PF3&3v4{!Gp)Ur%M{EMDf7=&z0SeDB$rp
z)6lq%7lkXI8<;AIqt}M{&7f!sNcoB0s(i$UeHv#(>mEzse-C5AJ)J0!ny~(Nx{e<+
zo(cSJ^pQmI4rbm%Y7}sbaa?zPFMww@wFsWml*Z0(?@ed;C~*0#)JaWxA(XkIb%`Tg
z2A^5=%~Uc{z&P`|=v@#-$Bu@~BN?*DaNpccoQVR@S$6O~z9fRoxe{Yux8$&);G!O#
zAO&=9J>cf~BZ_<K#WLrf%j5T@fa2zVJ<0-hy;D9djvi<K3w}JWfW;xs`4herus*b?
z&&$6VZQdLxzOSr=oGOoYE#0O-x54_o1ND-4-)F>6+Fu#%TrHTQHz<&jH!ExyC5;VN
zwti18RzdGqiJy26>q2W^!PoFRGN`~QTN5&+ii#<6RSNUE5cSP+BRN+VuW5ya{!d9A
zyZ9epUOq<!-;13OwJylvq)*7cXKor;%b{E2zeNu=*J=Bjq{(AMSX&L<QBAZ7tuy~7
ztPgJIe6nUz6p*%0Zy+v23$upmxKtPnz}$rV@jX!y)o;X0f3wlXeP7>biZdHR*DjMR
z$0#KfYdlotFt3e5>6z`9WsHEaW4RzTKp8hQCYQpsb@15v6CLhO#^A47P*7y8f;+aG
zjhk)J!AH`>Ov}Ii|0?3~JzFkSq;YL`Jg2XN=RNN^NxU@$u7e$gYjvu~av{WH{g*bb
zu1)87h?s+()$#3a_G)-IT=12Gp*FhMm@*W3Sb)_0yoT2kHQa1umLVvkg>_4_pRT46
zaIZZ>zxAgY4n8jXvbk0RBP)om>74+QtGBng@u=fl|LC@0E_KX*x13(r1+c@OE^cjA
z4gVz8Ha97%A_ITsjXn!Ym~>wkP^nZyH~*x)H~5q>o^YTPXIlb&Sbu82g&IoM@2mD6
zQowgdIqoOEw*)pKx*@4h6?a_^dOm+!4z=1w4Bu^7!l_$Fd>KEf;HHvisgFWr(2HZs
zrX_9~aM*hLZCz4Eg%|Z<t$CZVLt$k^mz@Tx5tIJ>b4vK6`4nSCjwnt)_?>oc!4iCa
zx7n5SD56ZN!;QI7L2T+Tus!w464a#STu+oJ;0NVKk!{(0n4Vi&^YFYS2;IJz)o@%M
zgIu5PJ?PGbf4LKkm+dTJT*&Cs{|GtUYMOq5c^4~2L}zACt^*Y08<`fe$>L0fg-nAi
zBbGpw(Aph<n<JG;){mueu_AKf+ygp{tF3xq<_J*kxnXcTP!dbCw4U!BTqpH|-={1L
z5)j|^{M=t72}A))sav;J$)8%G>&6NMtQN{X$Wj(V&9u$$^%Is!d;0S5Y<~;5ZmYQY
zoRJ9TwNKnRyL*xBIO*ZlaL*h<0s}q?1`DB`MMLut!vZ<c#r}SE)(ph2+i^L)7QmJ%
z{p{Ud^W?!W@j^{QGcXr;7aG5fA3codn9e)RlL;AF$$#Qap;&0z-En~zFP6>cf32A(
z_tiA9ba$D+$?$_MNhf*m)&6Y>r_L^rQUY)Ir<F_~zw)z&#y`LOZJbsq<%{G*<+JI)
zSYrqlxt4Gsk^_f3G_HW~GWjHr-`9J<2t=;=l+^UIp?rec?X@Q>r20U8XNS2F$Z#Fn
zlYD{|9i;NbBa&Ci)T3{$AKx+rGu@?YDo!l8`gQ8Ne%u<FZWOtNmD>=G$;N--_GHF}
zatWtz1?!}zYhXlEv;oXGg+1-dWkUW&{m|vX4RZLs+p$k``jED7uca>|6DC>g%Bhj1
zLwVa0Yo`ExxSM4<`1TqjO1ktM8}y^c0Fib*v2S{CmhoWlRWC+-{aGrYvYG+K>{qKS
z{Pe)s+U~#w8%F%1m-H@FiV>%7l8nvcRNx$os_k}T#Fx7IQLnEsp=?W3PhBV#rsE@)
zCzBbmI9r6;qRxU6K}VUWe{>=5#OcYh0Y*$JsgrO0z=}WrD28vz(1qdCs)?>UnQ%S9
z!|`N3J9a!P7!g#~1uD~ASKu@gaz04TuZ`zK-nU&!ZA}#TIFNLyqlg*PsEh&?sody%
z_moGW9|bg$a=fczS#VM#TczKV7p12*1$VJg;IK*K(Sm4Jw27rf%beju&zJX?9#-kV
z!k!P(yRWffNfbvy{7ZfehTQ^r0Xk6mCb(neD?6%|C+iGJ3L<aq-Qf*s9Vk5UWlO6q
zCyIJqbyCU@!nn!I)o1@W_ar?j9n{B#HUB#mU@9eo*T}ce8XdGjhizf0FoOr}&WdyY
zeJzTV8(;0br?o)2V)w*@8eV)@VBKhtEsoo`S+6==(}FJ_I;!?P<HM|}<lyMI%{Wy`
z{~*jq3qo(3m7W~r$9L_%ok|%}DAI0vl*L>NSX4h43Wy3~Z;?d0kdF-7rcv!KQncW}
z(HT9nKp`xwOSrP0CW|gLsqr(GTA=oy)0^oYVT{<#c;QBi9EP^W-Eumr1ve&Ds^<2H
zq9NrfEl5}a6?ZWn-uhe%(tE7^Kl~9xrsjtm$`OkAM(jfK6H{#%c^9+0r$GW)4?p@f
z^i>Jlt*i6ie9;Epl&9K7mnG4^-9ETsmkPct6W<r&p#%T(^KkV!FO4z{ab+)i{{3~C
z2f5mxbb#$r;G^;m8Fabtx)oj3ansWX?l&hX;II&RCvr#@7eC!h+4NQeW2c&aX&UH)
zt~~w7?F~5;Hf7#$x6s1on=jVJ`KVA*(dSkuqksliUW9zl)<(<hko}YYdX9^S`$KLU
zMf|4T!C!qq2OI4lOm0!r2X5zE$uEMGa7W(YqU59wR%>MqOdT))-<^ka>(iC7KP_c0
z)QN&0MET-&H5$TO<Jap_H&n2&>&ls-^Avn(G~4T;Z4ARtGUfN(QpLOb?)5ViQE+SG
zr0Z0r3G_R0Zx2paLod;gIgb<yrq;A3D_NRBW%(w-jek1x=v&-Y3@J$eD7OE^TXWdf
zuBtG)qK+Fm85Hgc9TYsBK)>Ne0F~yGm3>eH|AhKi%uZ-yK+$dkK|g>)a^Z*5?`mM)
zuxLOFhZY9MU8THYw*;HZ+i9=MHIU{Zx39ie9bGHV`HWt(gsWS4f2c)k;1*x@Z|z>H
zC~Pz#s4eu53zVOYmGEewKRcB>?}-wgmou4r5K04X{Yb5#!|M1$`Fuv!4|#O*aeuQ^
zMgt<X5wB*cVT&x|IY9$i{BTC<K2JLh%$6@_D4tivo}6V<IUz~h=rN9p?WDnf>pv9j
zd{wZ`r=Q%(DT)i!Q$|D8G&nq>^;<$z8RIxyRnv|L;H-A}`KzfkaO!tlWPPfLwti~@
zvpL-8Qz&B-YfFP0JSk?L+Z52mOmXF>Hw$WR7)^x!w1lL((3IW}au}|{M$0y#$EZiV
z=jHP);Vzd)`sw|$=wwkNd(8YNS?e;#F==cGYqHxV3Kyl3VO8^v+V?q9bAnwo_Z@)l
zAJM}pdXm^x=H#_9GEDZl>~@dw2MF@mkc!C>N6&97YwL^e$Q<jCBcGQEFhAW9v{gzJ
z%`D{jrU&nnuR_d=QX~mjx_Kn#U8fN0<u(5mudgA*pZZ>0u(bf8HC^80Wdd04ydpiP
z`kJsG<9T>E(i~DXEe0u1`7pbq%+AZDlXx_Hm)22g2K$)pv%A0YU}3IaYMR|!Ld@<a
zW{sIbgLF03;VviIEY_6!thW<UM>2$#6-`0o5a-0j=WKW};OCcPAuYs#R}a(I4w(Q@
zw$w!Fu;9^*OHX6&BQfCW-JMZo3@vYKnXM-ovGTz2J&aOi#BnFZ7nhifAy(lxwRM64
zLwBCpV3*G$>+SiTfABN{BPwe|yDB}d?o1Q2Gi)FQbZAEustjR*W~3|b^p_N_<KE(O
z@(s!TK*Yvg&=7L9Y`=^?`Ar)6dG{;q>L#K0!K!$q0i<yrc5q1iMLPH$U|LP>Cj;x~
z6Z{AD!Tx=~DU-6F<oNIIAB7!X$t~|S`xzbe;fCGc6E3Q&q%jZWs08mf^3|ioUvC@q
zV0R#W`_K6mvYPUvwS*WWZ!Ini-qY2Ci|(TDJvWxg9fmpE<s&D_9CX_fcAp9_9ED$p
z*e;V@qdhFj4Kw7;-Q)XtRj4qc@N8_QZHb&u4&L>OZJzusCH?Y9@xPpkke&!iS|a&7
z|Ce(G7f6qYWR?>ey0Ay8xrzJe66u!mEZg_r-0+-#r^I6l{C6PZ_^Z?<l6i2>yw7We
z^ySN{cOw4f&bnHvM#mD#QQJMt=(I{UmROu->d=9+R_?_SX3M0`nzJv>V~q^57W-+m
zPX}6W3wDNdFO#RewLcrhuaiy3Qe;}EwZWEOhw@+M3VAJQIB4+g2Km}&iA_XG8<gf9
zH(xsWgN$qZc)Lk~4lk}Pe(`eGf~^r3W@J)V$z-knt&K&}V<eON%c@*WIJfXnLAvQD
zIkML9zoBsk)Rr6YG5M+iZHHycSd@N|7b2CcrXv_pJJ+{PR7(SXS2*c*Jy|E~SaUfe
z<(cty#^r?cM0G&9y%&~`Z;(&wPgEPPvY@T$%lF@g)xe|cgOXq1U(!~7&kn_9Hk9lO
zjE%QbgXI%1{<O5v;ck_nmg7>KSZbR+Ir>x;+#=p;)~(Uw!p5!Jk4|yp!1syzdlXgZ
zlOEgg;vdhBE$6a-NaDqEclEvJ9;-mLGt0Vf9V4=w6|Oa#<wKj&V|z}~RNzp)QmV%e
zX5`yPdti2401t^w{7D;72F}jtp<-@Ul>Dr@azj=K`E&yqL=%-^Z=dA+<sWQFjms@}
zToT5tKrDP}q6~jYJJ0)^oOtS)W3K9~D0-f~wc*a73>xm7SMprBu{mD2Lr6#hKaxgc
zW}lTHd04PfIgl5d%}(fb9+E`mH+9cNJCvZQk1lZX1s{t3>D$@1AdO{o5(kC*l)(1e
zg!45*0JFFi)me7QVtAP|-{c=9&>QDZviu~7)m<lxj<(C8s4<!KajP=i4*f-IxFU?J
z$roMhy%q51%wNXd$I4KB{-s}iv?xmaRnB7OP{NWOdyj`Zsld2|#IuWM#IeebR;SRZ
zjOJwJwiz*1kh>iBovms!F4w%E%@nJm21{9_u#_6`e)s)J<&Z{siq{c=OX_%;Gor-Y
zR~=3sc2d0XTn5J&YBYV%YNC`+c+dEE4LBdm+iE2shcB~e8aooS(JE@o_^}o(IJj0*
z))Xd>Mqe}(`)YL1<bG74L$nUu4c)fD_f-M6H(htCyhA~b=$pl@&nO_b66C+hRS6&7
zSP?9V)kV&bpjHh7D!30(Ua+?*<I3>yvUU?HPW!qaQ0do$`&T@hWI+|bUzm&(YNz7k
zmW&GNVgpDVr3t^dtA@{?!sN1=9&QmAjZeupf}4TwgSpq#5t-Bc_3ZS}N6h|u)I$>}
z>it#0uBwUjcCU|eOX=aC=3{25J!YWzy>4DxLkr7?A_`92q@oOGl)%q53pkp3+fZm#
z3&Vs5Kl*j+V%S0Tzt+hBtAj!e4zb!e)ja9(rjmlbXTR@15Nipn3LWR|>$TB`N^h%Z
ztAkahMBvyS8srH0j5-u+;|gP=YB*@(KzHk}R6#3{F<O4M1llMcU*e^CSrxtN<3rVN
zS;3ypTamYuwQ!BGmiW}Dh_weMQ@t3iq4l)9PIR0mE;HSB7X18=!(`rIsi8GQm@@9`
zHPFD)W1CnB%4Uq7&|3;1tYM{EefruzKIL^g*0x(t2p{(DyDukW4SAQP<?ZQJQ3$45
zWlwV9J@Vu5{8uYD@9({rPDdG=sSPqkCJd;iRaTsL#tH_KatkioE23t=>FDS!3uGtP
zz?BgZD|qpXYkk#Q9#tI4t(5~+r0riNcBXt9bmjYPO+O)vrVnFmZHC8)-V-ddj^Z?!
z6bi}UG?2zNty`z>g{=_r0&RC#E?Gi}YxmNbn-b_dIO-Zkzd?lW%jrJKWeJimUqwE$
z5XJb<+FBJB^iZ1lmG^TBK;o6t^2vNcSag8hRz+?Tr0%-+;2jIVeB=>FS!sSe8Y81{
ze-|Sda(oJp5GLR?LsseeE^ah3?c6G{i3ygOCKE-JE#OKZE%(t^HvBx}602gz1V-Ou
zPrkD>hrH~e{}O$faM~u&!+8r6B)_2%r~J*}_%#9Hdv5f|T0JeQ!@~s3R>z**y<`g8
z+7hlN?O!KjM7=yW)iT1*%6O6XRug#mDf80&;4*16S)r!y#t03G_nDkIOd#fer(Z`(
z&ywx$xi&A&Yy#CorRzB^#&A+Y@Qw}njYNsagr{dW!E{Y(GT#j&;A*UVL2mSrgF8fe
z+w?a<>Fe<?W<LypQyo=eM=QuOvCA@#mKY$~m7(SK4nruDTxS}~e?eT0(6>L^!T@=S
z2l^)}4WO8Xtk=5SOH_xx6!)%X05MulQ-zoT_-}14ZD=1N+&LE{jy5p>C5s|fdqy8(
zBR!azY{rTI0{{U3{|uLRJk@U;#bs6YzSrI^uI*l%d#p4R4Miy`p+%@)RFZ}?l!_9e
zl9Y^;k)-dJh@?<<Br~$IlkoHJ^LqX`ujg}~bKW1jO9?`U2H8Q*MgFUpW?(n>a^<Ve
zL#&tIB|YyLa^S*j!Mlt@3>>XIQ+fW(Z`O-Pn-=~haA2^MtHJiCA=Z3jUdzoNXU(r^
zlfI<Ni5pd$3j(|i;a8=R5?nvYs_7o9Qm*5KqM_G5<zEIs*!}7Ju4$H;RzzZXG8Z%g
zF7~buG(g12*{Q67Kdjr4C6bXhx$)oLyQ(7#`WPKQI3qOnm-TAb%{MR7m*ePeN2!(3
z`Ur}8|3I8=p0%~HK(>5f1v2WU6*5%y(P4G9Bt~|T6)k@{_4Gy_oGF=487A~#nW3J@
z|AY<Ukq;Dmx_PnffhEVtE<HpXp8CG{c^UGMy4N;^9|xQ8u9;mA?l=3ninuvIY2Grz
zxG4x)(m#RfZMyiG7-Z?Zi4!Fj$16Xz2%(;C@cLD*4kDcD%WHDEU>Y7@=gcJnp$}Yz
zs<Jw`@6>nKNq;$9`wzcxTQ3SlM)<~`H?*NT?MeKuT7jnN-Mz10ilJ;+FLhp28|+qT
zi(Th=P<FR_x4W4Hv@63`Cp^-E&tk$0?>&5w`?Rc8zncO>?OmB#_FDK5eND64TL5~U
ze5<veOXA43_1ipW=vY?!i}Gr%5K2!f)@h|kW0`{E8{J|$yc_%Ww+0JiowCvAu3}ld
ztnQ8LkE27qZLIYKAp-HIwT|D|6rgqH^cJHiIvhUT*=VjH24>T<)t`+OF{m2YteHp$
zb%*i8)O+G6{kyMr?3@zlD-RFbSJM$y->ofeL_srO;Fh@_Wo(l)tO}9SLIF8(j2Nb3
z%JY@hitVac&d{6FjMKsio#9INGAS^{S8X}csRk*!8ePLm8^!nL&1_!F!2jJr>6^jo
z*k0WEAW>WgYp?V=O4Z20NcQHy9cfJ{2w%A~sH}@X8v(BNGYVK0vv|j>oQ~ajGh<f9
zdgzQRyfT@li24WDrq26m<C3w^Q>%GBi1eh&iF{MS?}gN~WC2|)6y~Kd`}DCjONhv#
zs34KN*s*QB9<GZA%GOL6;M_L4m&cOs{3h9tzu5Ir)|J;=qsBlBQ_8I<Nevbco5Zs2
z>w`_5cvN_riMUTXw;elZs7Sc^J4Vg`K1b;RzOzQy{-KW&Ev^9#<8Rk+)Bs!EMqTo6
zn&5q&e<q)qCZw#{<FDK`z|l|Ll?*#G1ivKYBJAjJ(*M5Q@}dF!YHg|oxh#-68Rp}x
zrG+Q19c!D64Z!;`V^pWg62^Aw4W<2BIQ5CI*XxNsGHu7|QX*JrDZc7h9-xhYF+Ovx
z7Cqcq=@-hp4QNPKJUd8gBQusR$+)MBjMR@cg<Gv*U6!5_Rih2dFDYp^WwkNlblKE*
z!5Y~Y-8Zbdrwtu%Ujw?MCOoww?8YzJ;2_V}*A8mhm}(ELIAueFyVCgEj8PjD?rKq*
z^w&aeoV~;`SrxEWyi8~@w1v_k_4~%B=@2dV32&ZNz!gbJ|J*IMm=o_Wp}A@za?_JP
z&%32z?BC{SvvmH2_2vF?ZVfEd%$)Q!l7Q$#;rTJ9E!I!BzN)`T!#B}Z7K2Y1N0a^5
zD=yd|@I>|x>*Z=tGSu{NoLB*q?_1cCa%}J-Z1=;nhgINODsktq&@z}kUsPne*g!Qp
z_GHRuB}AV{QGL`g$uhHRzw1714fa*b79JTW!Yj7-{yyFw7JXfj-CU?O&YyB0z6E*w
zFd3~sD3Q;idUlkr=ds4Ikn1Wd&15jfe%fQbRs+FU-x}N%0~mRg*#B{pMD%9H=+uQC
zg3q%1RH{5+rkXXr`mqE~G_NntyfsLi^PDpo+Qx#vwTC~cB!=w%K4zEvZ-STmx9*u^
zR``0;+;C%^Fm4R&to#x-M!e8<=+U@qiCwM}f~{VHP_pnpnI$_;%pI&EF1)jV@VIn+
z+GSn{rpXZAYU4!TI*nbmljiWR43m2$v;wXt6wUt<W5nEMmlQ5-bNnrubKNt}iGVp@
zu3sz1h^d^;Gk*@6VQ<OVdt#dG2vGHY)h7F!&|gg6>6K%OOF;$?-S#fBEb`2y(-lSt
zGk819{xgBKqlZ8^*Bnc%_lHhH*C4TcN><!!g9+R_g^SX)XIRIj)QO4s0ix}s(3#Dt
z#(4K<-9Jjr1Zys=|HG9XKZ#;yz2M1Z#<-|_^K@AIZ&u8Y(>6i|y+p-{mk}|0j3Dsw
z!k(b`A=Y5&>N{<;ZeqwfW|L<n69(e(uZz_BS?{&iKj5?NB!0a4z9-dy38AeW?2p&=
zu;TuJ@D}JG>?+r#={;b8&rOn*HT{DXxbvXd&%tlRoy61o>O~nS=e|1iPrHp(6aMz=
zoLmd>pXbzBpUZ}*Kb6s6Vb;Wo|CIb_B(;%v{6?*zjMEUI!Pf*s{(NDD<hC2fh1L^K
zE3SlBoi%`x>3X-5iJw_g0{_IjAABJ`I?n{SaT>ry-6rmzQzc9Fa9oFhKpnCC<&r}$
z>0^EHL$S48rL1JlsWhLHHAMfLmA@Vc>%)(iXZG^GH>`XyQ6ZgepNP*N&0J`SdPvD#
zq4m`vm-X%WsfEzTABh&%2j-vXdeAs&`@`Emopt)_+WUlO6~VtQtZep#E(8f?UcUT2
zR>QemPWtH&glE!KIqOF{@Vc}r$44-P6<G77s&}T6c&(G!u<ENe#0Fy@s-3<}aMT_O
z6|bx$yvBk*buHJ1Q(VG-DqTs$yXcwhfq_cGK+S2}h_x1WS+1!4axsnQuAkX;-|YjT
zd)-IeE}RZ)?UczUBH2XCKYBuhSQT+1_i+zVt_h9n$=_pSUlK~KEQJ~BM<V`f#YZba
zO>o~5+HQ9%pLm*~qU`EjO%(Qi97)=#0V2j?(QvMi;C-;eLvsET;W0RHfq1Tt8leQ?
zDz9Q9ME#=S%kMRWyU?koGb_|F9in)W?oSe%;_V8*a@P?heDRDjFB;mvY8vI3l@eLb
zAB{>^eIY`Wto|G<SHso?S%nbkGGfHOVB@izuY_U6Y~&72H56a7sOzP?C)ibH3#!&M
z5YIpD-Ff_$Dh!t$kasnzB+`lzVJO-}2o6Vaq_U}E)1sJ&V`vrODB3RmM!1DAnVzJ7
z3{XMs;V0zLiE3gZz4?v!+HXX`?8R4geafi1?-tjTTtn<AYe;=q(oQ7U-l%=xp^O(R
z>c|PZI>LRrYQmcJgV<kj_OEK25}cAHv}@bG5LF-RIU3$|62UwJ7Hi#=P#07kUzbo%
z+<z(0cQmk@h#Znw{jWn2dSb$ZPa_(MONx?T&pY)Jg4aXS={}0^?vnj^@?kUaUW~J4
z%Ht>D7AhrDHKu?H`|$6BldS}kseHom=>Ty)^iSf)Fa_v`7G2dp-%ju;pJ>U|A0oV;
z1=-Ss6|l%%NygHD5O4MU3q{#Ri5{oqJ6Y@G(WMfm^7?h>lAikvet|JUW%^9V%ad}T
zUM{J86Vy$Bf8TMPig99E=DDud3t9M>?5bS5qnG%3Yv&r~^GU+f_Df9ds0=C>vw~v(
z`$=$hd<;JNd77w7ZhJ^!$Uv19@o@LY0V3*JZ$mR}mWb`@U+Wtt4NFCX3slb~eW^X3
zv!!#yiaxF#TwkOhu!Bpu)qIpF<o@<SJ#B%g$}+E6qa_8iw!!PG4abPT-&!Q>M%YNL
z-DS#I*CdhCQvKxo<Tz0^Q5V3U&rUx1BGCPLmI@i$S=V!YlSJ6vlncYzoaCNEMfpel
zs5nKPy_hX9L)h!oYWZ|>lQOaQHzo~JQ2os05Kqu7L5bL^6Xm>;JQAl6e>Io_v-T@j
zO{M-3ou0cc@N)8z`>&>5uM?uc-#mdQmUoemRx+Q`;SeMfQxZ<@c_jgrH_Lv+)0UAt
z;`g;oY6_F%>E2>l0TQ5DX;>|rVJBryB<JsE7bT0uu5Bn_Nx-!IcXs<9PV&{0V$B<T
z;-t33jVDYs2}E5k96e*OoNV18_}g&<g{(W6P*$WNfqRB=FEXF5Bs=!&9>}YfB)bc4
ziT64!_0yA;?Xg~b<actz&c&-T<Ur#H<4Upw%%a&c>-Gzh%B}N<H^<16<CW$79EucN
z*BFwgc?y%f*-bhhf)q(D4u6N;-zgY+%FiBWEJ}vvIeZPXS0>+{-7i$uO-0GbALlPt
z;$*=b&8-)z<RSgW9Z4)Hbe^={;S@q4i{1&=<$Ke}A|fq(o?QkyV`7$Oza+^T9p?DK
zd<~N0fY-xfYdH)h$R%mT$dKlp#?LdgwMZ4^&Hn2zDd2isxqp4IJbC}P?!WX39kN15
z?A}=iCETds)n_>>k`YsH1=QZ^kwI+!QET?AU`B6hi2S2O%70kilPYgOdha&W9RH^V
z-b$yD_k;>b9+i@Q6lO>sHS;a;5Yj{+n|;CIL^bkX_4KLZUl`=5hBIe;wl@CeaIScI
zMV(Y{v-xbf(un-vsg~+Jria}LzPrDLYm(Qte>NHtHYVSsd@}m(VhAm&-`0quTI81`
z*mO1-lR4evTt3T;u-oG4TOAi2GC+M~r@Flf8CLVEmG74cq^2GOuU)A}PF7oUT(vVH
zA2mxoy}q#2@63$B>}owS%~|GwPnj{vZOpZuTa5)FKi-nZ2lUDGKJC4|g+}Bzne!GN
z3f9OJH&`3cqEBMOZDnp1CV4<K@z|zV8*F6E|I8OMAk)YD$b0;Tq)gAE?9C2a6s~m;
zkK{2RV_veh2S(|UyRKw!7#p#}$_*Fe^~>~0u`L-1+au{@?5XsJ&kF2uvE_S7mX$tf
z<SP9y__->1b~+@Ei?Iq!Wux@O(|V-)h3N8<QhCxOM?<vUYZcNIwSFI_=#oi4qR$DJ
zh>=cD_>R>%uR`<&-aj=RT4YkhsmY=!E;4AYkKo`~h1-#L`@;`ul6sZdg0#{f#Jw{i
znJ*&k(cQtvX#7ee_ZAw@hrXO-nS{-ffunY~x_VITo~A0vW?QY3FV2m|7ZN;=Z0#Uj
z_d$33tP&a65mS2END#~Ybe*qUw?*W8OXYP<@}%RU8>53u6rao(^8Z?GAUpJUo6rv_
zQcGQGb$PHj9ENu%`q6E$YV%(a3q1)^mbEGKnGyy2>RS0+&Rb)-_RYnGI$=`kUxtl_
zE)|g)Ijk!`fvQgL?ar~hByZ%Kh}UIQ+@Rj$dG7)o$p}(&Fy<uZekd%mb4p?&<Y`)e
zA`8B~x^l_<bA*<|Z~1S_CE?oIV@6H2f^y<pcJ1+D;_bPv=-OT?RurA7iXbfEEZp+S
zDWI14yKk<!C5sCBO#Fi1panJ^T4l<AzL7O~xV%gJ2o<;IBxLw$7GPu_?$3BJ#Cqa9
zr5|ocg$hsD-r^(X_?IwM)IghN#Xh31y3Iy~U*|Jkz6vu4Ne_)h(dJp}@^=<Dv{9g=
zkepkjZiY#T%68AfW$>VG$~LN|;8>*HP<f0gmStK!u(-jA@%E@Y;dK-QX=^yS@|Z$d
zK$VoGEys&|=c>373aC`Sxtd55c%Ks5GjU-hm?QfGb5y8^SGeP!D`<kZ0WN~I1-uvv
zO|1+&O2zQ%xUd&V#*lBAx;9YGkA=L5YS-^nunrl$y~8v{`FfkJNv{M^@Y8a~x;>H*
zTBZ@Pq236|VPZDKM<G1_vr5r`O$y7ByE0o(7{TX5%l>D%!syACxj__2!HF-wZL5Y6
zMy$G3<l;qOpk?{~e55qQ!$%K}cQ7Ft67cooX;E}m$#YKz$bh@rtza~Xi5X#^Vah%+
z9Q`ck;}Il_neRK^JoIM5=5+iKNhfiv3_Zj>c|{H-jf36(#!PIa?siDBl0ccMsp5;*
z@^F~st*a7dV!6C-ur`x|ixeSk{iQyBbEkoaIn4kKC;u*IP?7W^)wE1g5s$Muwp#Qu
zFr`^TQMZspg3r2sjU^5^G<x}3a0dfF{;Xcd+8~9ErS1|A2};=YCirvY(*0romB}v-
zNaIr9)=OnOm2p<NC`0fM1B3crcVchIpfTJufJ;>c%x6z`W>J`sQr}*iQYwotfwIPO
zqbhKu#D_1~F;TUO`>N@@9F|FqtgbFpMV-awW0%h`5z7BxrK*Ag<R0_9^FOPG4E9Ox
zvMMG>vd&MpTmfr`ICxg9qQRDvad}qR2yK7T0?0#(7}~b&7Gs$@+QM57ths80r`KNI
zx-YJTi}qP&=1crn#AO;4!(j|A`P|H{Z<WBZOS&NLqyeEQFP<ZpjN!18Gg^J0GOQTY
zq7f|`m^LYtrO29~Ov2t%c7+O(bo*tE*J)yAC}ZEQ;w8T|3sX5#RS-@wb?8dgM5F&e
z$5UTZtTAfJJ8r6qqpzdn!oO<bok@(@PZ=}3a(HoJx>OY}hZoPC@6yDG@Oy=8O=jp+
zZ+|#orG^dj#VvwWnjo5m=F?)$5x8g{M5L?1UxATe7^#V0T2mH3He2BM2jfE=oHWSk
zy&6)K(M0)uQ=dcuODNDLCW2SfaAWnb;kF13TsfHTp;T&#SAVaS82v{BztkH3oJw`9
z@N1#wAFx8l+8gi5D>N)PxGDMf(NKMeujex-3$JZtBjqA#n4YaXF5ROBovG?#%P1DQ
zJ*N8x570o3ue`9mLKWBk`BkN}0c;xlFZVELcvY&o@9}LFxaHj5c|jMr;uE{fy;lwD
zGEbM!xhf;!aQT~an}CNp8`#!_slm$VwbRL^`TV#VwQT!-;6ko#oie8ynoNhHDPI*3
z>+`pqdK4(FKmE$>KUGw1Dd;+(ClA`Uo^F*OK=qgAvFFVy_)qHbgieDDH2%q?Y5D+>
z!f~VOIx3(XkUvExN}=A}Ls(!VaIXBee`km?e&720G3Evp_KqV1E&4zslXRP1@<V~H
z_2i#C2{Z<4>16W&HHUT!1hXlj=-9VKGXZfF@!wf@sE~z{(g)lo){5xY5q!~>APQyq
zi#^JlSa|flw6gJ>0!n;>CK`8%z-T^ic~++tx+i+lHpj~2hlO5LuZu7?($p4KEWLkj
zPs#Zsx^f^xZKUf@3!!oSzjU@?OKetXW(2gzAS7j1N>rvGE(zy2(GOXo$f(C$<+e0J
zhc*sR=L+D^F-Gq|zXi$zGM|<BNP)9mSZ*1=08-Vsc@BD6!1AdJW5!7m?`{VRmu2yz
zreSMhc858(du4o{cA}zMlxOvwTl_d{N?jGb!yE?ksEhEWVC}MsS=&5*h<}=Oe%EXU
zD+Bgmk$4G+e>>T(CLn+-Dl1NQZ8L-N=6c!JJ>qDZU+->rR{+@sY+grNOmSSjI)2Y;
zaV)GG>)5zS5YxSP!`pY7f_19S`(2qB%mV~mzex!}zwpJmtGy<W$aJ+2audVr!>uga
z`$G65Z?4gJ!~{>`t=%WM#1I_%DbL(Q7+dS#U*}^p!SLOd%vT>ov9NWE&#z8l*kAMH
zKYhy><i@k}hL1#%*+`iyxF>?3W9J_qryD~!;JRLOj41RJz7{(8isEj8nt?;55s2YS
zHu6jJv(cO>@v{@dt!fzy%L7I*bdv3h$`{3(j(xqF`r_EbllL-9*a)8&HxB0Yi9%-E
zev`X85=b|Y514+-#JIL#xG{Z6XS<gDkOc*2%?slG3uJ;*;@#eob7Ejy7=6Fnor?2^
zJUZ@bF)>jz&n5I*4CPk$-x)_q!dLoxR{byo1&`^k2mQryGh=_<{TeCU7LQSRoX<d<
zdee7R4hh^OwmTOn%V6Lx*%5b<fk&^`u8e&u0he+v5C2QD_}5u=&2~2f`=4J?71~R|
z+kdhy7un?TvMpX^jU59;3xlV9mv}<%^@O9jodS~1{=DO=&%l8E`G<Q1B(Yg)+Cy7N
z5gaa$xV1DG2uZrkpS387WIws%0o{tI{rgPtq80;vN7EC(u}kA}p-!Jn@e&`4%xN(!
z7?=}xF5N_tL32@;{!D^0=wo_c*xVTSbSdYQy@f0c4n^$rJFSA0{6&FR=NRCKIl3w3
zh#Y9n2h*?YQN>wG`Z4KZ25w%6JjVM{9{nq{69(+naPoi#e=8Rg8&=NRcbri`-(`c1
z8LBj-eO6Jwu#1W7lZ$SvwH0wLvGzge!csmNHBir0EcIzg{(8T5MQE2uhF_~zhfvYJ
zfkhaBbK`A~H`kTW)Epa?d_@CijJ(gbRT<%Z+Hx^h8)e9yHH;Q9UdmxlxA}Ws#*p}w
zEuk=>3`TIp4eq6UPUa4<+s1E#3fYXntYj5@*8Z3p#-bxYM&VM*I}?yo72~_?RiUd9
zmll7M4o=EkNc06$aEqSXxxG_$$xnN~e|$?v_~9;(L}xP?IYzRl9Z`dt!Gl&+k`7i|
zzw;YKb66VsW?21J!_}g3{ztdyDE0H+v1`g4?t%*EHFnZ)^|)bopfMdOck%6Vg$3^S
z%{1K0rNKT$vO)WqCZsc7h_T05!oq8kU1pL7$CB9?-rpMd*85-O{;gJUk~MO>E2)m%
zJM6{BR%l?Y+Tr0dJS;@c?9`4?R>#g~-k#onX|RF8_N^H#sMZgM=nJc3oduuo!74Qv
zg<B<A$pF4=^k~N}8r%<^ozgj@ivF-d4%w~1+bxwVPT!%SY*j%|rm_me!UAvAoduQ_
zB|)kI4OzDT3D_<9=VtCfsg?)80p>CjYOWe|{aM0hE{d2B$YLnH1lG%D%L*x|!CKaL
zbAF#ZR<64c%~b$ISEvtgho~aP_ky~qr7W6Fb|xBU0X?O^{kE2>Ktr6budq-G;e+m3
zd3OPUrd4GTi^_OEbBhtWj|%I+?2hLru*9qV3z`gNbozXDF>#PU->>G$;H93Dug=_6
zvR4U_ZYEmld&N*I`-6SI5>Q=w=yco-Mf3$cdA+Vk1ob8Rwq!N2kj^I)@|sk@(B7j?
z`A)*%+Pq&}$diT8pANBae#)b9D0y^PP6$DNb5$LGSYa>KaqHXda@bLNH6+ea00rl2
zN`tpsL07;jJn;Kc{*OzS<(BcGR%f64{#r|TdIVk*|4$k`DjL*PNxbmV`74`kYl${)
z#l!k4QfPd(dFN;?4@?7BH{8p!0C7sM?b$CXh6W;Bowx8{^uXd@$0ct69{-J}xrzeM
zs^5{@6?jmdq|y51t~nGAo?p0BE`j!^{ruOoc~GCXRp<!6Ilip8c~<kAIBYhhPAeYc
z0V|f$#yV#PUuW~2DqeB;9rH_<9^=7}oZPOvbEeqS8SP`VO$@v)dJC@ic(G}1ht;qD
zOi|LbPM@n-6eqo=4Wk43AQ)v`d3DMJZ=QzwKD7`<we#$g)kpY|!oDl6?zjooe_4AV
zv_S+d5*Eik-xNSt<M(#91!F9KX5IcdLIjsuD@&A`1tF29Cb28h7$IZB)P5%sL~LOf
zJC-bjkS*>NniONGOB}AE=!w9b%aK!iuP`{y=G8w*U)q-yJpbgYiQqCveW8f42#kd<
zo|myTf}d#TWo<(d<g|YH%a9hu?O*#GKmS<D`8BkYQ(Hu^e=bw+v!ECf&h-ZIoo8Zj
zi}J^NS4423U%A9gTpa!qQSn;ZOswIs@_gSYg8L7$%tz@G*mx~UBdU#om+aI=4I@!7
zYtps-wotHG6`ObaCIeM5qT6mh6~$|pHc!jzRMb)k=VB)YIKPjcY10$K37<z+t!<J^
z|Mz`GxEKRsj?!BuK8oSt(;GaQmeNoh2_OSI4YA#PRHgcaIJ#UoQ~u`2z-@os6YT;+
zEI%w8w%bwyDYmrZ^`>&z<;w2qaoZ3%eb0I`L@8jCH1OqakVnpmqTsSHLzG>==#o57
z!87_T?eG!>Y|n`rQa@@4+W87U>Kqk%y-}H74-_GtYsKfYblyB@t=Yyah2fQ}==(1z
z!9PCIZ(q0}T<!NSzo;t>3@CUW4_1aRSHdmPdxjwPGM}B<CxdTxF)b2@RUjj~^Osk-
zAw)*F7KSopVbc)n;;~N^0r^GW*DM&~{^hx;1WtM6&U+U9+NFl$Bj$G>J22opan<k?
zQvq&*cUvmA((r_SO4;Ed1Gg~AoEuR9VOM<gzcuP;n4BhR1(;}(Q&b4gR0Ly_Wo(Oq
z2AJ7f0-r}QA+lh;GuU4V&(_Si+Y4xd^XIvFZh0dpwv-3W8Ysg_PN(}~qbA0^_Oab6
zHNvrmRhufNl(D*^>pEuy9XA}hx5Xbf#-`o&8cumCkdl$$ZI{pjtx5fKy@d&yH64Fv
z_^IN1Z`+v0IW4?up3!#|GR3{(caQSq)SzH+fX}vE3+L_{Xk8yQ#pY)}s4Gg<;JKkX
zPpnxB{=RMf221<Gvy+UsDlRlwK61$jEzm;0T<u<$cjm}DyusvZJq<$9lwX;iT8KSg
z^6z-I1^ynic-3v8j-LjZ!>7K`q2e!jB<J=LXD0Ys$zD;%TPd;R41PM?*<0AUf~=7K
zUorQCH|p53P`X|~ToeBT0096043~F2)o&cd?Ui}$y}7n~?fE?yiIfV76e4Lz%4i5t
zAyih2Leh?qQlU#jR*5o-B1-Yg-urj|eg1gH>p7qEKBqFCw_$=tz`ek*Dy*4|ypgF>
zvBP9=P9+OVFA*?RGiurKnv9y&fkSmS)L|WXD1x*JXp6rcI+aNV%iutefvy@-a-!SZ
z(gDK1HsQrOGREbyeKqf?z)$;3Wo|8SRb6nEr&}HIYl+}IQDuB>w>;_iA5hg=b3xKg
z9d=!YzfYY~MCtd<Ta1`!IO=gktEp5C+>sTO^}pnCs#j=R13L}Pk&z2oi>k00VpgvC
zErULO=eVCsfWm()#BQo8w48pv_Y{^w)~1R*g#*Aj(k(H<O9gy3_LUPy#le5KYBuLB
zpe>_vYtsp3^zvK}wvZOZmzzCq>#qVKZyx33W+*}4HRiuIW??Ai(UhG10qF}Y$Ce)`
z!Wl14-_a3*r-7^-p$_cY0>%C}3aI$5*BNUm0JSqysgy<no_SSe^{?fz;&e8>HlG)y
zNd><>1c4`SJj6Ef%0cbNZl7QAJTUx}+IynV8f)r?<0|&b;Nr7?(w#kAP-e=SIx23B
zC$qW8?2>|%Pts)eEly<Yjwlh1u>$$V*}>#MNo4hmcYJuyfl2Fs&&z*X;&JpZ?@Rm=
z7@m`OO0nU<3mhLgx4{xYAN1BQw1{DJ?RbI^HwUK2hIAszEZ}$}Z)0ewC;|#>LSlqD
z@b3Kr$yCk)%dwn6C>B9$`doRmCkGVOE>LzSnM3D*YZ@AbapH>5e-d9fAmt$D7cy^#
z_FI&boUFo#=V5;BAH|6)>-6Sd9xwyZ_Bw6corLA1-E1c}bK&L5uHUIYO~HKk?@psy
zA;fPq?>y$njn>$~I;xi`zO-@_O>7c^ork>M_5dEF^@*!~?KD9XW!8n56vU^ggovq|
zYp~;){)h7ICfI8o@sRRZ5Jd-umcK3Y;_l@&&zOE1V~{yfWiU<<rmP#))*s_Xza-!0
zfdj@UjZy2*JSYhMtd*5SE<t1sS0>z8G{P0#^Nq)X1+kiSs2RTm@wvz&(I?diKO1Mn
z$ImeK*DEZ&-z)^Cya@LLnnob~zV|S!SP;Z}-|-ENB!oGsxp6ia;;P&+hs$GvID5b=
zzr8~ktipK}afb{c)FSzgZLJXM=Yn_h&WNC@H%!t*+7PQ1%-fR+g`l=QtLu%L7|zR(
z8_#_(KrAgvXpJTb@7GJ_ckUO*5B~YM;dld_8VvG|dr894h!z*cHxf8bNPXyEXMonU
zjL)my!su@2cJ$YmLOQSS`4vF}OvT9l%NG}c!lTyvc2A_?aKv=a&ps-?HZC?@`XvIn
z4v}@18)VV`U2nqX6%{#QE<ZSGMKQL!=wI}r9F89*6%XH{!Yz?QRIySFUu>2-!h97_
z%bpieoypiI!jjJNUK|_F<ws0yR0Mf#iAhl!6$8_I3rYthaIZrAXW?2U%y(5ZR%TOC
zd~(%ESXv5fUCA6T?UnI2dw(!X85J@`4fbFBrJ>oe|6ctj6|5D1bmnFk6@?~}`*u~!
zpxy4`Lz0gwdW31luZ0cJrXbDoNly;hL!sPON7NAb?1|U8od!6%YP-InSRRS@#LsVz
zSI0~HKpWnd2H131rKU1Z0ghU8T(_@~vFq)Quh2Ba-a^y5@<WOkD0#QG<E94Uwda_J
ziVSgH)bf6vtrBSN(b4a6HDPI1&vnYd2zjp??lVg(BPuQO)#YR@wAY5e6rD8!zd>U%
z-=s2<A3d%7<gJZ%GNEGe(iq$O<6E`rRiI<nSQtanfr4*$Yfq{P!&l46)GSqOI~G`b
zBv%JF?JrrI95;p6ZprXWKQ)wUEMK{>q63~X)uH?lGdut|K*zt#Yh(+TQ^&U|nOOr3
zT}+Ofd))~&$Ci)fbyfB1(C3e=eI}`kx75$H!6*wH%^4lC@g<|tt(x53sDsCw`*WO<
zECFTprQz>nXg1#Kb+yvLcin$m_%p09=enzE)LH}lPvysDgS8PDdrUzv-5ToJb(oIP
zK=@nMt|nhCc!d*?i6t;RWXifDM+4F>uZAy6X(Hz_M3r=a>~h-$pQ{>BPI*Gpy+y|R
zAdBy^DL`C~NtX3N4RjM+8QyH_$n(E+&b<pLH(9*DURDEJIe8|IIjSOYriR-}k_NrK
zB!`jvWN^1k8{ddl#(eYj$K!T1nEc90%@QRewbkzE%wt6e{p~y8;7!Bhx8kvP{MC{6
z<Qa{nRUYSU{THeNXpny{cSGT-8oDeU?7s)f;H!JBm+uZ5LJuk^UM*Ke#>F;?eN;(2
zOEF0-vZcW?u|lxFRt2x03l(Kqi-9LJX*N`rh68b#ssjzmC|`PR?0QKU-)2053K;y_
zan_{LuTBZGRJpE93n4si9Za(*2IxahS3bN^L~i=pguem&phPXul@0=bERRp>)hJ-d
zNX_4SiU+cF`opp+K)TMGEozDK@Zx6oFOcR!WLs2pOd)~m`~O+~%aO%#o1)<I7Iyp&
zTB?4}OCYv4YsckAY1m8eI-AGC2A{A?_jl~I#?IfY$@4-|Q1_HB3VFc-mprBqGOro`
zOD-K94wHZurLT#ng&7tvdY&doTVZoG`NiHDF|ZtGnyRp42HmCRUPHJgzH2!rT)QF)
zdaF|V9WG|Xe?2PpvBd&b?;cROJw;Hh@JWW7#0;s+I+twpE%1$lPv^P0Fyw;|iu!G1
zMrH5khmX?CvC(eG(!!Di&EDkx*iX#3zI{ye(2N;kZt&N(?GS>wpKVq`1Pe6&*6;c3
zZ3atyZJo4iK@_LdWq!70MLm0}tWcvVNK;NO`6B|5xH;uAVZa8Cd!OB0Elj}?(8Jg8
zogW@%IdZ3M+3{hGqixk=6Qs@V;nQZ}N8h%)y)q#j_$ZfHdys5`hW-}mJ)V4sR_^#h
zea;D{@HaYfw~ZlY?lENWlNZmT4w)`UaU-hvMVN%TF&fg?k4IhMMXy54^(|L<u+H5~
zVoRYB93uyQ>^i}VAKMDGAL#SKvG>%S&89{mpC4PWPUJ<AsKDIBFFusMvQ?+m86t=t
zkob(wi+5iF#NwX`-~r)z*mb8NUVfo6mB{mfpVhG_`LiI{_R?aiXBqw<_vwcBT|P9;
z6-v5v3*o_BN^`>%1IYfeYcO`_hqBFSw$d3A@?46)(X9;N=Xp$eMoR!%tDHXF$|9)W
zakXH6kc#+cg{L-(2qIoYLrWk)6hHSE9_+nNMN#ULbp1Pmh$bXbQ!2#pXsI&hpF0(K
zqJ2-lI|(85Roc^3vIIo>LuBqrQ1Lf!(Buv~2`T-v18WN<VUQ3QTGB_sAZ0dp<TD93
ztW1wQTQ7}vu2XrHPbmm$mSxo_7lx@<^TP^eSty+By?7~|0&04o^vA~{xL>{d#9*r&
zPB;hNRXjmK8&hh(+bdDbxcdy4`zYY3_-@u+2Pxq6YYidyiy<K>rHs!{5yK;=Sr0MR
zn^ePJWy?w6VBK;{<Y6V;SwGzz8%bg4uS&KnL=wl#pZb@iD5J#b>7Kt=De&2QkhSY8
zgNtEa4|bI@@?iGYI~?yRxW0UN+167Atq)m4ih5PioY(TynUji#I}TQQjmUyGLzj<V
zR2{Lq#o0}~sMtDl)#bk{@<?{>_n~YcBeZGOK>IBf!=1G$LJt%$r?<cEzgP`a8A_3&
zZ4F>^wd107sv=@OIZG>)XhP$Wh5ov42Jrsn`@Z?45|-Tk_dffqg*{AL-#DK$#2o9B
z%XtTtVO<=#J-1IAj=ABK-<uh_67)OF?W=;2ZTBt@wdug-LhkWOePh^vD46QptO|jw
zCs(HnbkV<Zt^Sp|39^mrV_YrO;O*-1qTF5&^|zk<8!#}1c|gfE3kF9pz&xc>s)rXB
zNjK$P%)n-n<@|eG9UoR(1AhO|L+v<;RX^GsjtNTY?xkd0`Me<@=baut?g%ZfD7C<r
z7FL%d+clun>oc|Js|SJ09^ZBhTB0e|NW}QJ2GUk{n&}kj;`q<X8(mV?C@79Cn%k&}
zsT+}6Ckk~iT~g6@nvsW#rnU?|N!5g#Q-652pEd#nS_c?7gC|A2*71QR(2%57|3woP
z+tX;@Zvx~4slTePYT}Cf`rt5r4ZJVjk=V#XgJ^+~XNZ?3;?s}pFO*To5eP(y_|kC4
zrCUREQUfO(BKYk1RpDMyEg+OfgJxL{@o|?1`dhEL(I=G9TQ*<L*+9dI!JYjp56Iwh
ze)V(1R|RZRy+G3ZL4%a~BNge->KNnD61bcz3+abGyQ03+a6Mm1Z+DLxG=_KD3cZzt
z9{;xIrS&w}n>L7CZ&O9VEc4w<R53(;vdNe(py9QkZQb(<6(ngXIhf9ou%YVYLiu4D
zY%#@i<BBq#vu%CzQbrIs5Vk*#O2cq&!Ith|C9Iwd(Nwix1C1q0PvamE@ncU?ioGIA
zO8YeYML2P5Cw*=AHQ;yO??-CN3iuh$o!gnsiX3}``!DQ(y$ye#4++XauHuB%>t-gf
zNzU<DcQX2jhIx|wq%^?fX{JM4CMM6gKb}@1Ao0j4p>kXj9>!DkoeT3s&yR}mfdkga
zY^jXeASi+6>LhcW2eU+I`P}@sGApEVL`55I5rgM}%O6H{W(eu1*e=~wOPKYAZ|Qj|
z0?Cur3gp0P!t0$Twa>{CkuSe~=&}|@P_ECxHnVAhr29_vQMLshj)Z6M{}TfHn>6u_
z=ckDR7bU$lqvnv3u-eyJDF|1o@F<TBGek|ZeW$CvIq13(p2ofcV2+m-Qw^9UqAfF?
zR@^khxwz8P>gV{-*_e1ltbUHrYD^mQV>ZL-Q>OP0jjzFrvKGtupanu|*Oa$cfGNn8
z9m}nkcn~Fc-7M06iKvx*GgA1$1i`_Q)*PYSSSxks<<8A3#2fm9$KK{9kmnC{Z9L0`
z@N$;%b{i(xy%TCW^w1a{33q>SHgaO|RVI24Gvm0g?(=>HV_0*JU2Z2h(XkXGQBlT%
zxYNq5ud<A=*4wKi<0l6ibFY;quVI5qOH@9Wq!EmDJ;w$LInc|g{E71@JN&6`eNEX6
zj-={J)#Y=*I3uol&m0GyT>IrOqihJlCz}<{yy8GQyI`_&8W$vLTPOJ*8-Q-_DEDfW
z1M8bbI^WvzKskfoj!qar!DWPgD1Z}RovoCVNW55ay*|9Pjf(B34{ZNC!U^rF=?5IE
zeCV>M%3uniV!TOCt}&YneJRH_-Qy61qQ<KJoB$QGei<peLEKO~s}#VkAcR_Jn@h0_
z|L;k!avb&H0gHCgrL`MLaFB_X8ug`sE8&h4)3G&}pX1!jn<@-aQAK7xiGt<K#BHRf
zjC;7;4-_8~0pHp27=cE8+zSZ5V=BRqhQHVDEAJG8-R7ACRZ04AZ;TGF&KJOmVVT%J
zL*l5IUCLkYqK`9`wU<R6GUjLFMh?zPlE}2W&U{EoALrX{Zs*Gq!bXwHFW7cULvpi7
z&+@DuI=?<G(at3yt5#K9*N)MHy!~Ew)Ahin84~VQA&m5M(h{eg<gvUi(D-hS9*T;$
zRK<*n;H<;RFO4r0(Eh9B+ULu9*f+#3aoAD}4xAVGO@1iCz~`o^>O(zLoWC?Sm@kft
zY+AhqBxRVIFC8po_^ZTegX`hSk`OxM7G~+Lg5Hc%A-kpYaj}<_y8V?D7QU`ENWQBI
znSzO`WDk8<yE1J#6)J;#iwCE6G4k^q`Fql{hx$0O=|{(A8#zP|goHoZM@GWqY|Cy@
z3e5T?o;Qdnz)tk!LFdmJV0C>aIm+Om=hvt2?g}fS?Z$(Uc?&JHZTRZ&+L#JjP0Y4+
zGD=vnSvMzeLmS0;Pd5A+qvFWDk$3sp%HWM5i1ZO1B)0eY#nl-AL&skT+NfYSe%p+^
zx*iO6X-J8^GQ=11X?H_URm46tc(q1OADs1Sf7i7bVY~9D#)*S!@H>&sK9Z`B4HbXl
zZ!(!6JZItEkw|rLoP8UnI-rlC={uXZI-24dZ|X&jlVqrn#m7s;8G6dg+{%B~4BLu#
z`OojufQOcVwU7b@EL)8S+l4KV!WMPd-&zxKhckw%7W7d%lFp-;XbG+KaPr3qP3&9O
z*I8Dek9FUw_AV?~!DaQ~>F=kspntn++n9_#<hhF}hy4h=+p6-iqfZOr!Cpg&^|~0@
z=k`!|I}pe&wvkUn8>AzCu0l*YNLh5YXPac?_DIZ`3Tfk8n9yCOAx-SqFf5vIl!gsA
z!fB12TIi7`4=*tK=Cpv>{6aqsY6d=k#11gdZQ`v@mQ_PUt1#1FBO9FQuQ1uxpo#F3
ze3_h!$_PANBdQ)`gY`8&<rfw-P^9)V<133IoUS^p{ED|h8;78)4YLOB{CWJ=Rzwzo
zD)CZr2{xchvl~kNR>x3=QbOx~32atCqI-x97LQEYh83zI#N}f5A4L)D@pvr0$Ib>~
zvCkH!cBx{W-)O(;dO?I8j*S-Nw1JVBLzp6u3OKzL>y^H8!zuetXk7&j@q0GB;we;u
zd%vyzm>3(bnkbKVGJ4ix-R2_xEs97I`<L5#VTBkdcOSLjqJg(L)z^Dg9%d(}M_r%K
z5OtK?GjX?p^L14(mi%OKIJ^C3OWYVix=dbZBmm>BVv8pKq(C(ZH1mr6Lv%k04Nff~
z;Nj(3f9k3P_TOT2)H%~jy!i*O)BV=im=HIbcR&oga*CNseL9HN9V>KqacdmrUJ4xv
zWaMD3LLSa-Ekv|fdYP}Y70!PvC^&tA(MQaCokp%U5mAz)<g@22@m%}S`J+98@NQpO
zGT+rmTwlF0?NV=nVzz02^)h~JHoezA&;OBldDKi?oZkXT1^)^2EUW>Gj>shCZws;R
z_HpycZRRjP7!k^Uo*R1)uZDIlwh^Q2&Grx7F=Ob1W+A+f6Nl<Jck?fOBUFP8ga0j<
z!tLJm`0MA`5z`UHdd{Pl5K<!5e|I&-ai=<ejv-b!hk2%O9_uG8@0z;bC^5kc-7Rv3
zXIbz(Ok(g((*WUb5hl(hVuC=m4+*>;%vd{dZo<)Nh{$PHE?hiej8*YJ$sIeGfMbIH
zwf!3=9_@|q-Zo%_uAZiwB!yMNY&bovwtbAaA3A+_b*m91y2qsZx|RvE?*0Ozc7k|1
z-1VZf-VjpPV(dZ(mI#BLW)IK3n<6sFH!42R46!5lZ(*0&5^?L8Ve{tp8AASt$JVAQ
z15A3jX-|DxB!U;`NTkI%;&P&ib1kE%$frcbdfZ(k>gRq@7mXK*%W4L}B{fu>DLLS`
z`^6&htyzw<_53n%vGM-x1V<|L1K8-gY)iz%%xmRwW+sqLSDe<hQP9kPp8d?(CF0e0
z51%<_X6VUPotWHBK}|B(RFB0naU;k6^tECZD1PWVmpP}8V5@a|0@YRs;{?vg+Zt@B
z(h4atW%v+jTUSV*-729RT69dQiXB|KNo`YF`ndjzKc>rx38WlTjSaz^Xq+BpX}qF`
zC%^gGCj^+WWk~g6Cb%IRXH4<!)kWLF&zk5_X5=O=iQhI^18c9*1TLyBxa`YzW&X#4
zsgQyQpKW|tc<AeBab5>E^WC1Ourqj{=~VIkmH?7Ww%kvi&<2sXZv!X6j#56eGtUKu
z;NqSdUC7AARu$DB{#@h0qj9p(ru`&L6eqtp@k0xnx+!LE5?n9~*9%+oQy4M-6w2oJ
zXu;0zi$`fCH=gzAzTb9K6cq(LLA#eV(YD#xq~P2dlxdC%-qjO_=^ODU`nNQZ=g_*s
z62}L-6Rr;XcqQ@Yh{jgQ?V6Yo*URp>CxFq!ozV*d((v$0P$a8pqJy2Je2+;89<evS
zC0oiOk9_7{HLE7tGp{dstRq2tyJ-horaX!t{&ju0sDZhSjZk_ZjD}ISh~YJg5a+*O
zt02JeJ6FA~Y)w%}Jr(Z=-mL`5dpB5GXqqs7z`>0MF|2&l%s=s28J(}w%SW$h!r!^m
z%PmO)P4XOtdp%Sk|KxTzMNA9adK>{w2c&TJYGu-!aWynZPqj7HXrc2t7qjXi8Bm<t
z{_x)*;}rjz{#|+6@OjC#%Oq0{LY|5e@$Q=F-XF#?RIUT|lV10k4=TVY{;Oe|gf`yP
zZcRGQuLqe;JEBZ;6=8nfFsP+l2X1fgdo8)?qkA&GkiAC<NxoSW(`$MNRy*d>wT^;I
zhIhAhX{f-??~gBT>SN&>U;V#bRM;Ey%p06k#mnN2Zvz7;NE*85wza?j*UklX9%)g-
zZ<BNf0U;^`<d*b*@-ya9h+OtjnG73Go6&9ARNQPBy`PqA47)8UWgCMuus_9He`JA*
z=xe2$bzMy1`+Pj`TfQb#8V)nxRx^N*UfF|x^5$qh{Y3isD=jQ&_dTPD89?>U^~JTT
z7Vx;Glb!!m8&gxQyY|1KBKR(!p2#mNd`SA;_BL7vukPku%hIHxyJe>=Pc?yTE>Y)x
zL0yzkqE62^Q9x$z^m<<dxCtIT;<#HEHCdc{J~HNK4bx+<qZb)mU>RIB3)RIAEs+OX
zZ|i{dS5JN~%?2GY?dRgmbs=i%c>C%#O|&HO>{0n_gTI<9&Rs8bP&g<<+Tfy&7PP)|
zAZ$@o)oaBvrH$MGx0cCKWt3W-a!)y93+~f=ZpkBBxb>s$-0gG)*ytrE9J*zT$)1T5
z2N``^&Z_Ck$s#FC-ro6Nc#bWkcJr!x+iT!l^ZStt4@6)Sapyqsaa+Wv#vB!St`6@%
z18H(c`LVW!eo52Z7F#6N*`60tgTqa+Nr8WCC<uu>=>FRVx_v!r0XtQ&r<CGgmpD(P
zyV5FCPBD1x8?oN~wi2ZGhV(lA_lHpUn*Fj!kg={cez|8{0s5PUryj69CdAzR^8a0<
zVg89tJei?G^O|*pVc8G5V)5lmh4M7iWczT+1WH59hIhyLGymutHS%d`1;9$g+ozMe
zCE(QGI<z1>N$2X3j*4T{<R2q+i{K1VbSfq*xE`FLH&2On-3}mN9&yu(Wrl>Qw>o@R
zGUw>|Y5V1$oV3QDC6f>47X%T#HzY{3ex5Ehki?;oZ3Ue*qK4$>yqMGqF4D7Epf_+U
zBzV+Vg8z8lQb8pbE}jVZkD|9ge;qM+^T4PDRGaQE=Bctn<v7NQ%IE1Bs$2GIt6E@)
z5U@Kl%nT=L5KUugjxM`!EPcJ7IhsTcB|nv3A?l5iN`8vX(N}nM7X2A~3~!$a^j)1J
z=mGJvB{H*g`Mb&yg5##xYjmfv<mePJV952XTXu$iV(pQggEUiY)ji7Y7BNQbO%Ss0
zQk$k*Pc<=LxN3qj(t)D$-v)`(*Bl>l(5C1Injekco-#(o?cCqSIsHU{60OxFbdr82
zZT`*At;V?b)uAQSvYX&0$8Fj8dV;>S!cl6m!ib^IXJrLvTZspf8+mgm6ZB1QIcA@z
z8R6}cU((->H$+=S+C|Sd<Ma(u&&Jv=86xl9zOo79eB!FlvUBILae9WUuN{Tk5D6|v
zk3TRkrEe;>`10LloNiQPJ(hjS0H&$NEOkNe=w3Tre}CLEPFH@Z^lNO93QDwn@|g1{
zdaB0Qsqf+A^w(1sn*<`MQ2I1dA|BR8FRc3Lr%fNH*PQ>4@7pp3<2yvu*AU<6#&7m#
z{HHTPFE0-=F*!p)y0YWR$F)D`6Gu*OJH&Wb*3zYV0e%Y3yLoj^T>ME-<f*!A6E#UU
zu-y}~DVxDTqX*nWMg4S{z&Jf)pDFtCUx~n9j5!wXbt)07|4m=gs(ci*Z<?-XSN}6Q
zMi0gA^_4FN{?Ok@3GNNJF+<Phar<<)P!}CLGcVl~7@}8JE_<^t&(eSVro7kd)4}e>
zHJ1pdfAk~!S#old=IQrC-1@m>br2bIoc&YY2t7zQT7TJLk$xrFyF<%c8?)va{m+xf
z=+@J(r*~T{)A!YHdw2D=7Ty(A?^Ns>r#m?`Ub+>qO1E$Fb@7<g#2*m_0V|tHy3+iY
z@7x1S)k0S6%O}@qVud!eQ2lm_o~_~U`q_-7`dOfEjY_@-%G5f06ZXu|Nlz}s&lIy(
z$I1AMN3v?bis^$*j@BGqm1-iM>danUacbVD;s6<&S@V^gB^KyGQr1DDVw}|%Z|QtA
z=u*dLo6cjJlqLGvnWGCHYq+Z?K9&tRFnntus?<X&a)oZ7bcpo=bxrllF8BK541eDc
z)6!ZJ#Z;~8venxum9N^b%2+7CQw@go!x`VYn5#FXq<Pkg2v*N2BrJX$QbnZIx=wK~
z*6M+aVUIdvg{m8?IYaKnt72vs^S@^+Y}HJ01-%v|;p!9V8vDd`RiQWgqTQ~6qq-t;
zYIVL&r1}uIK*Om%6*zuqE5BI7Rh?#j?k#a&th($u<wM4875onX0RR6Cmv=bTZy3gH
zj=lHZhr>C?IrjKIW`t51No1Bt5s7FRiOh;98h)ACij3;Kl`<Mek!aXN%AU#3zt8nt
z*Lz>r`@Z*mf9yi~*ovmu(f3>IU-s6EqLRU%sxFa=&?0WO&|}Vp=mxzePA!U~(VmS(
zT~9^Ok>I>@^D_?`>--h+-bV^~hjwa-yDNg;wn2)WBOj`C|Hw{YmPLmm^JxL0icnKU
z&;0fqKYBEw$JrVthZ;j3&X9{0AtpQZ%)P6E$TWhml1s0EPXB0VQrc1k2U+t}Hg{pv
zl{x3iTCRvL+f%0+&nZEMd!7Ziizw2(3{wT6%E*4q<d2%NGDt_>taLjkj)EVmF0#6)
zA{8Ovyu_jcmv7NIbG1n#84<A*-verBQQYbF1qD?w8@1Yd8f4IgOq(lsUjm|Y&TzYO
z84sCDMEfK2vdH|2kZM}2CORT`-px^49hBMz^j)0gQA-G)K<a)HTD$IYC&f?$bOk*a
zx!)@wT7NnD_7O6gm1_!+zfXk3fz?^d{YuDlWsUWyrxtpd`|MI9l?>DXSF^*z%IGLz
z+(gorg4!JJ;I6;df`GiiTA?si#C%0yR$q{cI;Z#S_qk04?rqo|#h``~@)`<%RZ@{R
zeo>c@qXT<&{+51<RY%>OJ)y6;w9yAz3^@Sl!Smg1WAA?w&@1_1e7k}+%JK2iN@FvG
z-VImzJ~d6`@$c(s?>H5;FmX$~_cDeU_IwVS9ue){;Kdo)QIX}ZsI;g?46IX3V(l48
z2yYx|Yv)KoC(b(racludJgpb?vml{j5z2uCdMzX&xTt-B#SAizDI{~ak&wKg?*gv}
z2`yxwytVJQ8SIXEOm}!^Kd7$#OY{-}aV)^V`7(3Zj6a&kx=lotu3gcpeX3}PaUq+g
zYXL70O>B2c5YgbG{$A+}Mf8?(h-{K!0n(EKNg@*(DE{6)J;i-H_ah*|Ras{Nk4KNq
zpY<o8T7j8YoC%`nc7=EFY?%dcRI<-WSF54tp|`k&xcN}I=bE8mqy;!VrBg3_tBRT=
zpOx+FVnWA$-di+KvH;5k-OQiu%4h@$u8urfpb1^0f3*3;9M*CjG=v)!5z-A}`jU7D
zb5``*Qqwnw=uaMYV}<g_8dvb3pKcDDttvU2SY-y^5?aJma%EA-ophZ^y}#J1>!YGP
zSu=QhR<&KjTne?Fa(__vf&pB|?OqpWm_i`4k$e6{F~lYF!uq`m3%I?U8h^rI3cP<~
zy_c7S&;YB%R9*rbP@^S7dm{iW|M?gHE8#~xmW?%+_}Rhd$&38pDGWRq-kjNO%!7(A
zkoTl)u*2+%j_=yE37j@)OdK!AA?vZxpn_u@@K}x`>dv|`{JIxkN50F1JOLl-70m&=
z-rYN<CTI+7QIZYa9CT=P`8($C!~t2UZvXKc7{T`!zlwf-U8Qx`e_Lc==YT_(O4IWK
z3_*_3IfyQ5j&?2FEBRA7JKSOp_xx9204krp2fIBVrH%7V&!^k5!|69>ZNXFep!oW0
zv~G1LjpzVug-bXHh%BKPQ1xM{g}gpvQim~TkUxB_z`-7I-=@b`^dRygR4DH1$E+Uw
z6Cb&NgSq7HREH5==z1L)^`UGGTOML~SAPNr4_9U=ndZ8%=Xz6NxX&-_?uW!8;V2v&
z#fx2%DAR!{uB6ejx_M0d{otGSavTU3h|Fb)>cEHQt&`02OW4m6q2eh<c4&|NGtiQ(
z4Ik&mPOs0eVj|doPX%JxVfV9{`bZ{i@LJGfE`Gg%{mU<jxv$Cr_;T%gnXyzzCb#ZZ
zi`c^E4X-9XTjPL>4o#YjEL1q;rEYVOoeo;8^8ThRa>6cIh9+7X1#;%E7q{-G2h^F-
zU?I*8=U-i$?vkXy()R=_&D#v{2zPu$?IaKM(APHERBJ)sfzctxaYhJEfYCz{yg<$S
z^TEbO3mEuaI3snLA>PWjxn&<8*r^;*`!`93?_UK`Y!(YtnS7#|Snvb!C8yzkDP*`R
zx-dJ&zy_6cME?&C0$@WvXB4ALhMR5<lZJ6PaAWHJkr5#XG0jH5SEop@9mH+JB+dbB
zwu*o1p9+DNlzm=!J_*EF*_HD<IDs>}_{s%o5m2$kor&`z!HdF5Y0n&Pu>Es89e+<0
z><+zGdWI*#^MGHm#^$_m$?NCwc}yJK<{tYrFB75Wu9O3Z9UnA{cV(^6OG3xX((mWW
zh|u$Ad0pC{AKGN@=BrOgfe_j)R31(Q3u)&Uzj6d%#J?xqU{(gmKV@HBbtM9ef?i+O
z4?&2y8~v?@Lk^}>AAP*%OoXw*|0<YGgyDo{aK4(BJgD5PsB8%)!XYa;`s~Ld(7C)<
z@ceNFAoGVjR@gare^bhegM}Cr3_6(KuT})7Zr*^~Oe8?+Hj58u#etew6EwrD4E|y(
z_(Qu$&=}_ZsG?dDGW!zp=Z>m?n}5k*+dUGLf6fm4lp+nXvl}NIyHtT(o+CHSLk0<r
z`72={3pkPH#sXtC5aaIGYP>~;<)NR1la_Lz|Gh;^t5hBS`@T`kiD`j(h(zf71M)ER
zS(7l&p#dLGyIY0OQ=lu}=tuC5ZhMZQcmD30fN<(oo5K|F*A)G8HBJ$b<*~(v8$__1
zdv%w4m<olmhx@MGRRa2`HjANsBw%;`6EFKu8!EKV`{~pxgM+Rx?g=7+pZukWa9v%<
zUugQ`_gV#bj-8>%@si=)XS%_kNqW%f`z7hn8&$~T*hpkDAVc)N2Str@`cNijxb?gi
z4{8xcTSIzeXb75UKjUWz^K_lh#^cn$LB;-+GaDI_EYdc3hKvB5g8m6n)ZsK^iE4Er
z2?QI7DH1LwFq7^kFx{vQi~NeG5A%}Xc%OhLAPjy~&q_A(6X33tqFG9&CWQ5w*_=!S
zxY5BmK(9{#|2V`kTtxtbC`Mx+8B=I}T4vjUC%{J!kF>j&)F5umqdfV(Dg3yUaB*@}
z9TI)kJIX{=A#h~ndoY_BScG7k^8V_eJ6v9zm7)aQe?qDT9nHWhIlW4^Q4MCOaSvza
z<-uglb9gD<3?hNwplA>e`MU8n8Sb)RjivrHxn%~vZ%cKK_NqcuY|8J*770i{mF9Wk
zh8aB9U=Y1np#qitivurq{>%H)`-ddM&0s!bGBPVr8Kk%<(~QIX@K!cMKgq%jgx;0+
zMT#haXhh(I6_pz_Yz<%NFqlE@U6muR8WbSijeGg=f2<HR5cRIK))ca(GU0-=JlxF6
zKAOqR0J}pgWJ#{3Q1*lPd2U4(Dz;4`Pkh_Ju4t&eYgz+nzO4WCkBJPtGGq^a<GYCM
z@mo>txB);a>GS<lA_>B6_nlpMXE1M*;wXOtfd6uYV6&DuXepVj84*XY63&mOJrXhK
zqYL|Wcvu8>Un%I0y7Cz__iJV@YA^wlO#d{)1|cxvwNu_~c#l<mfAGg|#uz-buhQ*n
z6o95DXXPF{zrvm+2{d=h8N)XQhYjCxJ|J+BUisTU!&FxDK2{$#0$+n$VOB=G5cKYT
zIwtiDi{WOBj?6QJB{I7q<2f!^)pPfhl6;AssJgrV*suW{3}u>?eYfM|qPtcz;@U7#
ztHr&k>IML@Qc3KAY!GbnT%$3q3%j_acxUvSKAd3h)pOs^0-WEHwt{PVF$eC}{(YT#
zz<lRJOu%_2;Jq{Iv=TOm#d(LFu2<EAm)7w){*w&w{IuKh>HZ<?f_@imCP5c|I}XR@
zB-6v>$!mk36vi;_Bdl(3f9e41Y>bzWA02!be}e+9Phz@!6m!x(9q`za4;mW!hpqj5
zsNF9$gG~|JrPrQngQ<h&kE8pxu(R??@~ba@V@JxBrx`W0fi1)E$%5ctEJ<0Gy9nm7
z?t?)#dihjXkuM{BQQX8BB_7|i)>y>6H|h(|i&3HBn)Ds5s13}*S!7HNzl;@QpUEhT
z0^$eOT)*;fVEY8#>h<faVxnHM(|?30P@5M^e|B;myCSp4D8_XitN7-UM|WEbHZ+^g
zcrUMG^^c@;#xgfC^;|?ZEvE&0X)pIS=x<;ZGuH)7X16eIKJV$`3NlzHn8jMwZeVzW
z?TdFPbg*V3d&9t(3@#i?b#d;SSZ2tl^z}G;7;L`8THHl~m1&WV>jr<Z6cnC!dYS>|
znn&tZkC9-C*ZsAY%@($5+-kFVoCzF6_9z)MlHl;SxPa$L|1eh}!2?aqEKu{sqejY-
z2<0uwsmfd1SlIO(Db5$H;3{~vO*BOlMrQg%&-T!P$S&RD_<J~*KcgP;Y)}Jw>JQi6
zctH=v{~jHmFW`VL#WM+^R1HWsG&!vIo&h$MQ=T5`<pN9noAys{5+Hi=+4c1mMu>ea
zEEFrw3+nd@1auh*pu0xLTn)^S8hQ7Mwl5zz^)09sol^(4GfP2d%UR$XkBF;W2R{S~
zo*Z7<QiC@fUUU^kY~Va~_-OqeLBL<R>0y$l21-0x?6ZqFsOFry8@?n2J%v&idkJa~
z`!&gpr<Vh$SpyGdo{7L_m~W%~j_+Jssq2v&<$^4>KZIKqVo<wRkL_|U9y)K2YgF^{
zg2J(kwV$sgpmTfQtIAV&@b2t-lxf2UqlH5qLO5yYa&lKcatIHr;`!fJ?(oCD^u6vE
zjbx$o{a)j24?I|hNQk8J2*N{Kp7EGuIViFKv960d`y{)*zxRaT*jpd_(H%b&yYO_J
z=_MXK*lXXsaS#D?O^7b!lp=(6mfmQ@tHCI?n_WXe42V{NO}iMCVV{_*;ooL8NVymt
z#4joVdJhKq@06*4rrhT>_Y3M^Vcr<tO_T!fbeaB(et7V2S26q%PJmZu{6pCTWFRNk
zI5mTy4h%Vl7dpx`AlOrY@9~H%*q8rMt=k~Lg~#>jXBCK$n`QL8LPj1${<JQ>Z`Fjx
zCn~9HAtX4}WMMJ2lbfgOE25e#NFcqJ$HOpkrxzW|;SGMi!>LWz2Lr^&;P@S5JW;9z
zdqy*g&BT<!?t*BI%K#Y$Rq}Ei8L4n!zXToWj0#l82i$mjK?~UQay}Chw4shCSGxVJ
zD&QEluUc<u!5gW8S{b4)oOV_I;v=L6-)epju-Q={q1Q`ha7_<-1Nu~qY}BFfpt8#o
zFA5a5|2hhT20QtE*Sg7_0M05SHV1Vm(0{!W?R{$m(oTkD!`2!Q5h{+`)1n2(dxo5j
zH=DpzU`xjYohC?1v4%R~wBVgE|C<ea0C2C~H4?1}cQY#v*s_u#AZ)A1K+_Z|_`S8#
z>oj4Z+Hyc3i3lx>{MSNOOhF)SxM#Ca6K;L}ksq2(fc#@evTxrr1IPbFhxqI?;pyhT
zNg-!EoZnOV_=uu8{F*w|^1Va@8Wa2Zzl<wE=SC&h?HF^Yh`&ZnLj<tpcy)5YUmnH^
zE?Fkkn}dYzK%ek!b$Gz+J#lVZ3T}Nl(c9Q!4$n?DdKa1Oym!mP$3#*@!1B?6TS3(h
zCr;Qr9cxep&B^1H760)8E2HX&RJ1v?W*5D{3#x!T$HUu`G&bP6bwle3(HwH7D3@q%
zN^l@MO<{8PHdeJhwWQo-24T3^Mf2MVFj5*r=QR5VdsK^?>Gn2*0hd=@)Gu;CwVpn6
z-S92ed*-3?xnHJGR~l1LEGr8@xSG4-H$cmf5AG5SF@+PRwTX_uB_WK_((y~tFB(oG
zY=yQ6pd@gq<;p8D_}Yx!a1mOf75qM|&>0TkEJhBHXcLB~4?FU;iEFf_7Scw?Dh6>L
zb9{Alf}mbk>a%BdgSIX&5v$II0ZU-;hqtHrU`a^lic8jCT7jgj4YRBXylWPg6e4iL
z0q)4oRo^YzGoN$k*Dzzq+#tVlAICw3UJB0c+7?Y)2>+1mZv-!7uKsw=$^s4HhBBhN
zwrJPuQ`E2J7{d9|ixz)U89@7nRE=lZUm7~e!P(wr0JoVNhondUVH|d`pAElm(p0zJ
zWu4~T$xYUPVI`M!%<_xB@ss%tnpiHAx|EAP)b9^Dhd;iAeYa$pdG>FemI5h%TnhBS
zvOBJg%sz)j;Mji7@vYMq{x;u#vZ@RE&KJ(FIZt61G48cMoi$pTlydVI2i=`&cO?4C
z`C)9kYcf4FY?U@s?$+s7r32N;6S3`I`mkX^w=RyJ6<W)^3zb{~I^Y<+YZ9l~hF!_B
zjE+38LhDiAHI)*j4bi8sx*3WUV4kbF1C^W0G-dtwzl*1Ka*!zgKv%bc_L?ePRrGF|
z_T#dksQMu)q;2;vq$R$k@mw~zR@J&pGxjOJ|Fe?<+jCNyrmsKIFebac(%GH;2l$q!
zHWYYccfjeK)*ww<DOTD5TcH6iWF@v$3*L_L{X3L3L>us$@>zJgLJO~qGLzZivVS5^
za_Rj>Y4UL?x}nEbX@V~zJ0m`jVd7l*3X{+TtufQSFacYm^-Sm_pK~F@wfgQ?gqkUu
zLChIu9jkSk@zSSN{xK4C$;^IovzVcoNX&d1jNYIvcg=`X!${EFbnR_@|18a*Z9Yb8
ze3KRsk)869l>~&=f-hr+bF@?|t|iZyEm}fHifykk5u~~rWSq0+X>rv-A<T~3wEQ`I
z-t1{j2=~sn<lkDLeVlNsk*TIbP5bnE7b`U&r9K1idv=L77p<cH^%Ff>SIHV$o+rTG
zOO7sSY%8?5HJX{TI3qH-Xl=-4M1V>98I6I*tF)A?6BpNGnNZ>g_R=#|9aP5$or^B5
z)3RH5pT_dBpfI|d<H{3iuxPDzGc0(M=B&Ng!`RM>I)Xa)msqL6_qb1sD~Ve)#~P)H
ziE<qJc%m6^UbT~V#bP>=o!hj-{qs!ohyy)n=Kpw777w<+TROND>CvOx)}7`!Zp5+V
zc>~>6h2eO0M2luXc>?}znwGqXZGd%cPFfZ0*~K!mml)B0>+00x0zO2!HDoff)5`;r
zI`x~=n9+T?FVwwC0*J#fb)eW<1xO1qKQ8ZKMa7*@y>vPRQPDx1cKVz$T)D2~kfe)4
z8zi^G5;ujB$xDF`_+n-FQ5tNUYR`efs|qH6CX1pUiuvsaPb$M5>pAh1OfD1{^f)uM
zQXEMLzMpfoR)*b!+>K6byl7+H^Lsy?6k^Y5!u9DYgXGp0Nz{iA{kGIz@xCmB7MBQy
zbC@z50i(eBulz_&Ib@h1BZusUJf@s{m0|8#`=R}31<^}Y>6`!Elt+<q@@#ubm7(+m
zCw_@4jPz^>=7;f$$dRkc?~Q;8v}y9tf<;7;oW#LXt9?qSm5_ewaH$GhQg;)#mK8@H
zYiCMS?y8`8OMWenU{#3De)=iWK@we^_}&{BjYms|?({z2=@mLp{vO^_B8|E~^Zlz2
zQb(~b55})mssa0%lpjeqWYO!t<L%rhG!XEx%6!r$z~;@_zN6!ENVnm>rqU@Q3LTH#
z;NsMTh}YjYf9+C0`2A(+n{_0VA;)5UOp*jkZ{vfl8WhnU!_S-8Lo!OUJKntNNrqBp
z9-*UJ$|ykVHOsqXEfmYK{2;zp3rrnjC%#ng=&qf9km^7|(=Aw|$~h`DQhpO367Wc*
z<CwA0ECp4zFj9)_bij8&>+{|_YAEDfxa61<6}=I%weH@f2R##hvG3Q^(WRc?@6Rt#
z(Nz4!1ZE!t&{cc-eTAZd)Q#*PI=NGkiud5!>@_1G2bzAFHPb}7*NqDLeo_#JdrD1h
ziwTezIKBGBh$v>BeSfel1%)5s<8loHSTB>vuCE}Xv8mXN5C$#8aJ7y)8D<LL7cqBY
znTTF05!<J3k`P1EDHVxBX5h!#E|)t^M33Z&MO&XV(2Z9Muc#8{&}dfBa^xxz9n_u~
z#!0E6I!&X}v>J2pZJjTA+N+70ZOgMRYbv8VHBlvd#Vml8V#Jiyt${k@($i`v^62lj
z*i8LC3*br6JZY9dK#Hk_f+tHP(S?{v=as`2V9g+^{qdg~iWr&6*7gxXm+M@$A7U0j
z&m`O;V2wusFKMfvZ*U<$K3*MuIt$n@er9GzGCC!4w))B%JxcQWsiaqE4p&#RZ7#<u
zq1t-1>L)ix>wxhxbsck1IG$JSo~nS*kr>x&nb$E>SkFDtXa={2I*Vs+%b}Y1qg6so
zGuXYaxjv~>GhkEPv^eW8gX$~7`L2Fk#lm+>|H74<!Z`(vS5rs=)oBPU&F5`n_J=Ia
z?@}-YUpeEm?KYx_p6o=U&u4%aC+u!k<pF%OIz&0hE`-j>@T*X+GeJ)-wYOgkV9n-e
z<QNM-TKkncez21nW}|TI{<;|aoxC)h8Ox2Fu6Z~1Ut)plJjBW%OB2v%tt<O_8i#Vf
zQBYAk3(&oBN}~5LhFI$+D~~}YWS4v`W>+f<^d%opnZINNhQVV$vg_%PTQ~Wk>U9?2
zC_FdOT44z19QqzlZLHHuHIi6WO;})h+x6MZr~#zc=KQMNyGVOnHA~ePWQHS}{SThV
z8-PLUYSz)m(=_G1`>(c~VTR4s4|0je^&x^mqDG5vi1s-|pHw5l4BnLnM_Zog!5rU~
z65ghRcF#_l64J&5az{@Njd1Eg!+Z?KL}evr-EsMLO)3*mC3vI){dGavetUio&qr*r
zcr~y#kO}zLt7n$mbwD{sS#FQd5N1=}os#RfGj9q`B#?LJ2Y<~R%ALU2x@J~h?Qrvk
z-@xwHJKAv2>&+Wu+h5pXjKavTIwqKdhr|>fZLpcDk|n*F!=jDb<4*JJ=#PX@`vmF^
zHw;rG4Hq#TriSUzWM-g>r5&E4r-D@YDH<hx8MEpwIk>3C0=V;OHWslIP>i`368vrz
z3lR$4GxwVX)^ABO?`PfV%UNzXj=$^JEjF@KbU!Qj-YD?rxTXd60Y0tQmH%SPq9=Xc
zPO*XTlC4dsj27VM;{2E$|6yWmgiMfQhobTNs;pWv$dz%1ELzfmta#e9vvC~I<ZkYo
zxSI?&r=)Gm1L%Q~zRTW@j|&uiXJP{<Nw9x@E;Boq0p6JKR(^ZO4VoY5w*!($;4{*7
znei(ljP9c3TOa0ydODXJ8i@qE&u6Eq6PW=`*={5T^1)=wREk$K5vuH?Z$l0X7>8!Z
z7iIB7A#dwR4LKsDR2azzi?hK<g5HGoR{@9*wLI2%LlY8jFg5&az(Gk6U;P*eL4c+k
zVinW`+k}AWk#G)Jk4eFuek}~bS+mIQfd-h^r1ITz;ewBrxwwKrQ3$`7RlaPd0a=yB
zc@7>tP<XuOoxZj>tW=XuRxc4C%#p4{wUrl`Ws?*86(qsjQll-ji2#;-be^Y{`5^rz
zwzZ%q4LO~^Td(Z!^4Pbt!Z!^CK$6LQ=97Ue@Q#%5q$Lx8qDt?klq(1-y~7>*g5*Hr
z0?8pMj{wQq4$g@}!f>j!&tmqGJT#~9Z;!kqz}J$s1Aogz!0xqk6OmgHo)?$T2gz!H
z)~x5rs3T(V3b${RHA)HGni|-Bb2Y$2PWx^?Ndl4{_{ZH_Q-*A_v73j@G=XmMdVI2s
z6x1jvN~*=Hf>qN27d>$z5dPi2RH-flNp<Thm11g;aP>{swg3tC=s2?Wmde7JqHde+
zN9v&LziH*tK!R+qv)7V3<X}Q|L^0P^147fN8E2x&Ap8S&Uus1jZoIx|wZC5z>N}49
zb@0}LzECTZO}rw!_}u1JtwI9a+K(yoKnkQe6uqeRR)S+q7sfSvNKmpeSA?>u@bcXc
z_wih1*dJ!W^uU)43Fo^$Zcb>!X0-64ewPY7nq#qx_`K5>9W%#nIP1b_pH#Znx+-`@
zqt*#|EeJ_|(F!Aakk`KKNaj@oF#@Ac1f~V0Yz&ug#~Fakh+<tIr#ft3G5J-ctOW@r
z%pq)AMlh5@saKs;hnq>|E-fF)pedSXI6Yzv`wt5{3GHy8`aYFJR|_&6ttc>Iy^2A6
zT?vDdkOs^wnuUl)lAw?&TTvku;C(+w3!9q;WC*q%;QXZtH4^<F9L!CDqkg1Y-d6+G
zEZY75#S`FD*qfv~!=~`;PnYGYh6eQbdCg^Z<6))AlacCU29k!<vd{(sMBQmL&7M{U
z`(CCKEiGoSt&)C<o`nDjwK8aAS^+-nnuvJCWDdk;!vjYo)S(Toeh`|Kg@$joFHb9&
z!-INPja}P#*u@+;+sQ8pqH{~_kL1lko!iu6wow&$&FNUSiiIJ9<(fkcvpJ+|T(Asu
z+~LaJVEX<ie8BNONh4&3A1(GCe~#~0g6CD6*wr$2NTr-G^}b>Tdd7O#!99vF$0a62
zC(H;Z&+AOAXqv&2ywib;G<nFlTuapTT*o#O7xp^8H3jP^<(FiN928dP?UtyU#hgBV
z>{azNg{`@)FHJ{ez>z&xC9>%YMpSKRKR*YcK~s4Vd`1#bkHzppYZT2zl27f;1pvth
zY51fnF$mUCBjn*e(ONIqNPg!8csDqr+9n_Z(<`uim35f*oDvytqK5%dz~1&xp&;bm
z$}G74WSmA`ImY_?kO_QjweDv2=ZF6R009603|Dtp&0iRAFI2a^=j~Rvb?<Fz_`WR?
ziqMc14TLBmt2C6zu1H9PloUdg@7vIjwzP+~)~}_K#;-rmIq&nH_j%6wEcH|Ba?)V~
zWN9TmWG>VKhRPP@pY9Nbo0RGZm+!yHM73U5kt}n#Z!C}#G`A8mA~#1r82C-9J60aN
z)N2OO&aF9^$PZd84Va!vzsXD~(|K<tGkBP>7&sQs18s>3H@P$W$qD)GHVGc4@b<&$
zRe$<8VH4ke>AKQhvVf;nWaPzaVCFY>XoRyvM12yt-s&dbeQeE9m^Oh;N+Z?!b&EtX
zZMyKe)-MuG*Q)=vGl5(ao*fre{t??=c)T@pYa_MkA&NYYjbXL9m(=#b8KQMdNszch
zBT1aG_h2m=ffUJ#VJZG0THMFwE;!bak4&qa^!6ITQ8RxL{r3}u^P{2@?QP%5qIctO
z3yTfGV12DIHD!#D`(pPi`Dh{O_b(>vGt&?%qJ|zBd>tVI(~s3}&v{4c#TnlpNHTzL
zzFEGL<%2}06|?`&n`m-M>E;0?F$37;mfAb+FhB^-p1sBQ^d*tEWlGE9iardT|DkCH
zeZ-loaocV<<`KqW)8TSF`d}p@dGOHf9%9uAIs5FL#l#3TRQ^#o3q<@Ci{dT1i4;ac
z;Zl7CaU^-#=mif8iZ9$9v^4A@-1<5w{Wog~J4^TV@>iLloN6av<o}Ccloyx%)cQ#{
zJ$U-ASBwcA{VOa_jdT(PPoHs06*LhV&qqQBlNeB|HFSpdxRcmYvbAvg?lxl3lG{{*
z!2sW4(}TWIorF@w7p84QC-LQhUSMjt9&GqLF1Y7WCm~b+Ug+F`E~20tooTOiA>1X$
zc($vP2s36K7T?`NWU#c`gFAE}B$<~oxA_;rwX611h;JX!&A-krR$K>ecirah?f*r5
zknk$o9XCLHcxdKsw?!L@&+Hrg{j7^%M4<WAo<U-=^JVn;TUzk1=2%EaOgAAA@4iKM
z=Lk`D>ZYz-6CG}UM_bbeJ;Z1*^?N7#7~%VPN2Q<|9j=!;UE%rJOJMRNLj3qRp<;g`
z)cT|*sBf+)=vm!Q$XIh1>|dH7)L*^vOaHC`-QO<$;VmB^zUVy*Daf26{?i%Q3mO`*
zso;UL(bYks@?^hl(B)}jqnuOtzbJLE?xc2?hYS-R=XZ{3Uz;T)j|^<>9Hqg_to58^
z`Y545d6+y@I7bYr*=NnV(ZIq#^TyWbF=F7>shZV{1>(T#S;FO;8e9l9j_qn6C$iT_
zcPch55o$ue1*Aa@y7}z>@VHD8G|6ukiTl{0D_K9n=Q9;r?q^HOPEQfLbRWF!Sl|Hn
z=HIht%&G8Zti-L8oF+0w%+_u$;DVyJJ!c*iszT+Nmh?*>XNi5^Wlvkb;{n&G{0q8U
zRH6Km7f*K295Fr?9vaxl2dz_t*7IH!SoQU~{;l;3#IXm7WkLokz|xnz^XQ@qh_5SL
ztQcM*j0*z<Grq5aw7=K+>(x|XTH%)R_CxG&Y2)~J#x`M~CpJB1)+xgc!R}A&T%7PV
z*W^WG9|iQYPutf=D}zZ!{Jd5P7idJ>e)#RNDC}6j?~;;(GTamCc-HrU2k1%rs<WfS
zVUM4WYQBOpl(viw-)-iDJDGha{U1q!NvMi!{-P2rAC}GQuK+Q2*3<Fd(r{o$dwKkr
z68JPdN{}vF1qY*Bu2B!mLA{i4g2jvy*b1?V5*>wsyulvdsHq5#{th--N+?63<EDn8
zHVQOst6yU!y1W*Yz23EDc}`Ekbyl}TfpJ&X>f##}_%;1TSnahk6d8w??Di9fj3?KP
z?gdc6*KM$UL|+AVF8*w6Iwc9MrayYWIMd)Q@4+syeiblYm^!%lN*Xw_*9ObEYruYq
zsq*91s-S;<n_jG_90cvZ$b0kx9cb@%IX2HyVK88D{!yv|{Obt26P2qC-EYS(@E@W<
zN}Jpc_K!+HjV#Wt5Y&Sl{#`|$x*G6KC{*q$O9kZgCH9wQGhm%<tnH1>bl8waYr9vV
z3NOO{bIt2w!oIb^Wd+UJ@aOR65k4<9SUg`#y~wQ(%_VGYW%YUxyH-S5SzH}-5A`Li
z5;XwDK@ExKCrtQPC>FVK86SMBZ>Xp(8i3cGS}l=#`VeAl%iejB4vWX`rKNo^gmo82
z)LEs5U?dyC!KI}Q!TC2Y9nv!bwyt~UKhjNrSTL`u{-gsl2j4TDwi|)OTCpCTY*R2-
zSB}V1(SzFpUwn;ajX<=@s~nvzpz!)gRg5MBhB8yJ_oN{(>NRa{{w3i4<?s~_4;i5K
zq(;Hm(*U6OwAh5DB@}p^;<_`iT>n#Z`g0!(YDnRB>JcjtR2({4#KD9kDp|>a0!;Au
zak>MJTf@=2Z8qC~GvKJ{-0myII#97=m-=RF8z@PMNwvMtfXWpMQ*08NP^-D`Yfp;}
zJnkysbC6+xspQ4{-etU1@c(yY%-9x^Iuh$n)$0N)B`t2SUjgKg>o@nf+Jc0T;bV51
z4nWKFiR>nE;7bruQ?RiGD$9I>xRDmjmaY^sG+qHjgrG(#yDgNv2NMF4n&6}sr*r(=
zUm|yw{1AQL2LAl8da<^d2AvW5<&NpEh}5^zKi0|Gz!Tx{9?A_Wlu|uQ_L)zTS3L|f
zm7=X7<8g~UxmE=r$}MiiV|G-?i<M~n&kA-9?EPmTpac`%PwV!U@?xxnx5G6jD{!CY
z4!%?(3vBVbt%aOd;@G^w(}MSwAlmzc>i<p><gLpprLPO2<K?Df7ZojGN1w$5%N|kS
z%+OI>Y!=4nms9ciHGqi~som6_!XP0lU->AEf{n(#$y(e1$3^|}4a^1L*rhB0NI<v0
z+5Q#^hQ05#&f_7VJt8O7bSoG9>-3r@<|w#1!8poZWDPhaP6`T-FAyzdO?wQ-DR^|%
z^bQ+s3y}FLwO?ud6k!n*xxT83g4X3VE@@lMVePgC^DoBz1jqTtK)z%Ot`)to;2miO
zJ#ORHV#$>R?Q!@)yW<p;jM+cxQEUpEV`h)A6wAoHN#{8lY$&)W;@6%aWD2bC!+%#7
zcaaxNBQ<PPDA=sfb5&>GYB*b(F{HgTLY8kyPRn0KL7Ukf{?2(Oz<e3R_%1j_l5&IF
z{RAjDptnsiK*<Dt*XV9zrOc8$^=6F|WGI;3QuUtgiZS5kw?zU!=gH}9y2)b%1yjfW
zp1(J51k?Z)?YSEpZn|N*HT^6Fo%mF!6DN#dHq1}Ej>dr|zTY;ztEAvbhb<ZnlZFuW
zrpR-3GbcuLE+l?fErPG;^>OqdLvSBBC^dYB8_A=Z3RZa{XyNT--o<4Ii>%7(gF?J0
zy>Q3yyPGI_6rOeCi8p{rzn3j99`IpE69=tWNDTee^&2wv3?O&qj|-|=0(f`$<K0Ic
z%lmt*rdC$zgZCkJxt`n=xV>a&UU``~Uff6B=Mtz7p2@W5H(XYs(8@I1f=UTA9M&po
zSJ8)b^>2eGmITo*$z$)rs3hKg_9B$4kp-_e^WL`IDU6d}iH}osX<Sk9?w3U@3;ue%
z+h}P`L9g8WJ>p?9DF5uRowz#-cH~G_co>P`n?27@zn_uCbKL_;T67kCjQ-|fVl0Y0
zp941wT$V@f(V;i1IazRpVeZRXCx#!fC1HiJB3jU#oGATFFz~QE80RC7HWN1u--alm
z{<^!m4}UTtgWIU@!aWImr+9jOMu0M&o*!cGt7U@PlPR{kHc9+jtaht5Km|vtSl@Zu
zm|*4E;bLwmjjZt0Fx3!M%nwS-T0PB#?Y4f3GD$LcKj^;`#_?3tqU~QSQe=Vix~p(p
zK@J@c>AzI^poR^fT5^_lu;7W2&zYvz@>uq3$Y^^T4YhevsMe`05c;zz+h?mHezpso
zkK@t6l*EPO?JM-bk$vCdw=gC2Z+r8qO;;0-b=F98hwH<J<|_+gUdm|mJ}1O>3mwmJ
zEZBY&F@TwZ+83)fs$hhG3Lnn_E$r}qpq=*706fQcb>$hUV(+Hd<AH~@@tf_lbd_a(
zt)UhDm!(3*q9e6qaxOY(vcuM@#@-0@yZkdJSE}J$fSXRYqAm_^bo9<LG=}yWhvxzl
zY8Z>0Rhz%)Vz^p({4WC&=>Fl}&sj-B*>8R)#x?b@`fX{*CEL|d($oJVEKwcr%`u7U
z9eUVGrl)`0Zwh`XY=+&g8u%+s?vsGM9?lHuri4YCfh!M}vg@J-%DW}s@|(~_UQ^Y!
ze{aoUAJs#J9;J!lTkJMUZ_!1Wj@iYdO%~AIr6l&>xF$ltCf;!`9h8-KQF%SN23(kf
zDc_Ch*y5X{#$}+5t3Ifj1^y$z)dhcibf%-<fSGMVJ{{$jVl02300^O+EPS((j<<et
z%d$ynqHO*Fcc)f>@CSTeBT{rsu)pWaW37%FEuzPRnU?UyB<*_NXH6Wfl}LuoYB=*g
zEI8NS60FbVn)n!NVkMv9d1(h#jGueWuKUOm*xznDeE6CMN_S*3TkMswd2L})?K0oK
zD&`LRSEP<2DaWR6Jy*bz%oaEQPnIzJbNohM2MwRvbB0w8$lz^WiT1N;mhg1@v$)6}
zHGEaLyLHT05+Ck~ENH%B32pbe4hA(+G5g@>^5`{UnEU2zZ^<r8sMy<|ye(f9FZ(5j
z8Xu&f?_xx5qN*i47IVKG_*4a5qw?I?JC||HE!~mc0T5kky-;yU8GE>Cd@G;v<6m=y
zV;Xk=hJum`iw-N{lPCFtHx+nrpIM+9pEZE}rbqeK?-Y=^FC^^W8cv)%$#svbl>l2e
z#kH%R%Aw-Pu<7)_Y{*4Xyep_ffZR;|{q|QfINl|}_4>jhsUcSq8hLgNq%(E3PuEMK
zxOMqwJ+^tW-E-*W#xe`oV)J|31$jvfeIMhI;5tXf{gPi_C20W%R%KtiA1RLR<}LBw
zhyIe(`_(OK2h1Ti*xfZnObiX@{61Zm`AgPv30cd3HUpzzaz}oV2p+ub<H*0|FZm;}
z)8CF_1_!MyCZpmh7*!~JVSM&4d0D7QS<u%Me8tXBXkHb@^CusM-e&tpZe7bmyenM|
z4YhknUTYz&yG1ow?>0}`$k$mMq_2jj4!`<B(^uhhpV{JdGYh2neVL;hZkPb8&p*0#
z%Syc0Q}JSN%@UcTRGfNr&KPPQa%WH&E6~&8OvmmqHk3*}|E%+XF=#dO-%_y=z&nMX
z?>Y!`AkZ%wrMDQtQz0uQ`W1fc+y7OTZyhH($7OtOaWaDYxnqjQIQVg*>VaFwZ7!Vu
zo5Ov!(h$@(dQY5u&W8lo?JbSd-1v}s`rBOxL!jrxU*kT_hq0FbeqB4pi~Yr=ZR_d`
zV9G#mpRPY2=5)3sDKGas7nQa)X{Q0i(Z*kHy~BrzpG!j&UkM=d(>XgF)Cbi^D~mPT
z_|V=ct?yL8O3cgF^shLt4}SiVZ67x9BTx6vyu&VnxT~I(|3_ROe)MKoxpeU33rioi
zLLFf=+i2f?>@5pEOs@Z&6)%AN?6G3jmJ|%+;(2t@nFVv4MNMB$tiZ_bBi^rlMDT^5
z+M!cROlU9g2*r~tvE_Tn?pw*CSi&yI%FJLwo5#9aYaXt`*j<-BFHVZ#=CizR37$-F
zO47N*J}kIg-z_h`Qvww-g$Ld%Gr?i<KK&9y7(JQ)*gKc`-mdAy`29Wx)EM;$*e?kq
zEz2Q&-x+B<IwL1L^OgY~|9+qQ*G0i(?r2zG$zr4MZnzQ60Ln#6W!F{_{3J$GY2%Z}
znFI=Dqb~zkValD<VNsMzea+~bSHRc8ZkKdj7?AU(bAT!;j+yVYT+1VsP-Y=-a;GB$
zE;Z!G3OY&P+Y_rI{F9XN&ERWK#qA8B&GVO@PnE=*jyt!lC{@Ad3`TS3K?XeCabiQa
zv@}-m2!ASBP(_)die{bb3^?POQ+Mo%45Ehm=tfY(b4PzCWfn8wG-b}1eXShUTZ^r_
z6GKB=Y2y`i5hhgp8GSd;rhw&AE_$V1>NvGO%fUN<36f{;6RYbKG2u=|tg5*t+8p1y
zS$miXES-Tg-!>)GX!DD#yhF!tls{K#7nb$ThpBt5Ss6KRY2_96X<_;Ggrp+6K3oYf
z5u<gepzwm#U6QVYak({vVw3tX!*bqPFrbQp)S&O+s*83uM{mb97(f79db8sc6<ON`
z43fR{kn<F;H+Q2U=<<&q7g|(9{qBNMI+cMQrYT7(lSa^^nfB!lyE<;U?4|Vd3<Kwy
zPyPs|nSh?drxVqG)p2pix$Q$H123>ki)}r+8cg_f!!&<spnpe@k99r+w+Lh&-1XHI
zD$TR(pJ!>}CdOl-spkybAvJ6}LS5FKf5oXfUUam1Q}#XAW4Zq4r_0<C7T}58JIemh
zk;&V+_DZuJdXW(x8Lex8!`opU-)=2jd7V-l8K;Z=J}FO)DFAcVho3m#)51LKMq=B7
zHfrA6GkxM2z&`F&EtjWS*e_;#%34|r_jo0A6lhvPUKJaM_IWJ~`@*&9=Bx%fxy7hn
ziMND4(MO)oRJCw+-=z7GbQ&5TIZkDbSOUx8nx^wTI?|eVbG}(eMIFHlZ>=<~pf$c}
z?a5!7Xz=B#^r<#wJUr#Vb#{XlOa{+i`^ct=^UNsE-AfAS8CAyow9N`!`RX^!%&TMQ
zJ=RXnb27NQ^o2p)S}VxPA3yuEm4+*;)vOoROCU4qo2moV3NqIZC+~T#hGiSvrB9p{
z!FW!0LS@VncGlGHO5RUJ3zfsWRE!02+-@??|JAY{B_+J~kW$6%yF=sXyZMllzV`LD
zJ(h6Z^~LJC^5y@-?B{-ch!dxB3D*=pOSre+qx|@?|EV6^U)!FtNGkWvRt%>B+&%Wv
zqa;!RuN3AP?Gc<Mh3IA-n>Q@SuGop+UCMG8?mOo?+CM=uM=w-SYnF8<KRZLLMH&@9
znnrXAjgpbtXNuJX2<S~dWS8<m5|2?lP8eMpAY<GI=JTxAz?u`<LdQRe<32ynbcc=}
za?SHP`BT9bu=Ks`hg9z}uHz$0Vk)}GM^~Kry}y`)Y3bn=h9)A&KiL{5w4#f&@YYhX
zVK)ch@)(PJD~z+s8+M26=pxOEW@01k%;4zPFCDJwg6O0(GrS?PoBVvXocr({Q#jdV
zRv2Qj5~(|!yj;C{$z9Pm!o_=6!?}@~9uY|a9Nv&~<5YD&`MYb$ILdT2@U8Dw(KO^k
zXYQl4*J*>~;3gNb&v#6~p(#Kq={64@(wIKr*EvEuTdJ*2oHT~6|CHZb>T+X)OT0`^
z#uzDOx$d~Qi!m&4XD9ZtapC)K-$LuIOpxj!6ni1k2-anb2HfD~#O#<uRFSYLGIpzt
zYJipzFxuv<&adG>`}ixLj^COlYc%67X(t+j;x@$u!(?`Ru6QEBI%k%g>$c#cQw%|`
z|ASGS9y@Mz^sSehog)?PR~7DxHh@o2YFa<L*^s+#&E%8K3uIJ4LSG)Q0qm+gPekXk
zVch12F+N|H$lmt&9-GVhU|Gsz_Ur>2zWbVbvR#`UeQSeT#s&2uZ)xw-b9HRk7<sj&
zHi`p}Sbdo(y~~2Yv*kzf1lbX5Jsa9)Iq{2`=6D^A1tO2zh5`<-<1M3m<u`)4vDrKL
zg-Q++>Ni^M<?3X|(2d(=a}{~9WhQv2+>r@2KlL3o13B=}$7eRat$a9eE6;0mkO6wS
zF<-~jIq?v#7VY{dfJsd*MOn+bP$KA@lCyl@ft`;JC45|ok#dTnc6tnOVH0Iz4shXE
z!zVeb4ngcowS3o}r3dW>>rXk(aAS>Vqtwp3!g%bb0#Cn?9-JL3yy~pZi>%!-r^6d5
z*w*AD=Mkg}OiQuciXcARm6JcJ&k{w$STv{qrvrSaep7?T__5WsX8Y~uVrYIfr^w!4
z2Xb8x1qH;cKu3NG&ks`xtd1dYo>K?r;%m!?omOG=U+rVG<-BIB=VkLYMH}FK(5F4i
zKIeR*nb@mB>E#@GAXLRo8<sd&+S!@HxY%=~_E4TIt|<P`-%d#zZtF^M_cTy&^!_<d
ztu}dde%#j*xS$1Iy<J&JQlcmmn7)}MqJ$$UYu39=YJt?=hT|Jfh+)+6{!rd!KfI}e
z-+6&c8={J35?RCI*vMHpxjIe-PltzW>o(K|hU}H%kc*Nyaph>&scBX0;)t1_xU3B?
zuVyOJmUG$e&3y0c4yxe;k1OlKxOIR>I+m8pD~mN-&!)$Z(lDIck!SNO9r#w6w6O25
z97=q#8xjfCKy&VCQJ+h?@H8@|Jf2?>$*muCJ(TEJQKr3zH%<=*u4ZzD-dDof&e1}>
zqGg_@UnbulW5C8Cy807R8MXXg1%-R-px=+h%pxNu+(`3PcK=TW3p_cBVit8V!D&<c
z#^pR1dfL=aRD+7Dg)3==z`%K1>eV_eeHdXyayxsgA-C1JJ3Gf2_#u+#&Yxx9b^G9_
zi0l*^jyct-wp?bS#;)IqE8ZBw8QSl3vQr%u*HxU_&%wf=U4kAJ8piOT%H!LTuqKN4
z($X57SonmHJ2;nX0^3BvLsE~9YOEW&9sw+jf48<n`hY2@`>5`pU}>Sw&&E*2T`c_k
z@XSh2WpkLmoop#1rj49&#_LA~Sa@!x%X6U30`#)GS?b@k@gYZlJN*n33-6s|E#4pi
zc{yIM-=u>L8B30CX$*`A{P6f<96+w2uTf{54$4*7{1dR%!z7nj16?OeII_WLJzug8
zK0ZG&6j7;-@lP+SZ~9{io_|k&mpH70uQM_f&+yT)<L~U}@-tTOvrN*ycWQZ_nL8Kr
zR;pvV{d|sIhZW>S+4uLY(MI!yzNWo1s`yR#<G~gsYcL7_`HIa^3zOCbph1rkn(eqe
zCjr**JTM}Mu1&{Mt&Q9Zjk4JKvGzgd8fz&1V|aR?T>}ex>(jmLCD2ao?dbL8KBB$}
z?rF!=@uWg?ZnYT&bweI{?)_~A4oAP584Rgm@KNJ?>Y@BdtNz42`@jmSx#rTiT&Y;t
zX|DCAm>v6Hdd&W_vH~mjG~r=V1t&yTihYfqCbvnv;rr5R2`@!U#NX4E@xc$(u|e!7
z54hY^=k>FMfsHRW{jpHQ6P3jh($n8a2lqWX3-bW0O_jAIZRBwHXZuse>oTJE)te-R
z%K-fQ6{;rvr19$0-?<a!okX_K?XFGY00tKI+O8!M*zVs}^Tec|xFJO?{ANqQ#n|J+
z3!B7HVj%oeV9O98EzE88$ZHKylg(!uxJB@A80A}N{3szk(MYbjVgandZN7!=LYTGn
zs-$G?e+1ooo%V(g<`A}MQuI@FC2B~qZ*S}RkI1-t)tYb63|<<%{Xs70jx|Y@ZWOWq
z2-WH6#30q>oE0hkmn)7Ny+ZHnx;z;n*4;87gZ7)k&sGnqwM`s2S$l18q+p0BiBD81
zPhHkEE1jy_zHIop#z<+!{oh2=nKE_iv<VDWYu5S3%#%kgH|Cgc=qE1jIj3%HX96An
z9KL=noh1cy9{l+{)I+=xKM?cbkui+g&b|9_?hiRX+qggFS{E@p!(F#?-UyBqubO)C
zV1hiAI@~2>*-0o>A7}5`WduzbG}|%7F*3J~^Cr7gE0OktVk%r@2m$9E{b>_J<luxw
z;@QCl!Zxz+$xB^BIF|BIHfGHLX}6@2x3E-4ux<Qr>EZ(esP(sSq>1*D4@4T*a=TX(
zOsiVTAz=ehW-8{q+S5hSDO%#x>E(AEke@S+)Q1ascdLTMJ4u1DnUgJ_3JL!UB6q6U
z^`WK)v_u?RNtw>LGQFA4#EFv0PW})Uct^+Y*eljVhQ9GWr{bPPcqiYDC}n3sW5qs?
zAn%`KftXWbGW8*mqjTMT>=F~QIXK^+*8f3joUNGWhzTMIe!94i5ED{Fd_AgsYe`dG
zU)Sv$o|4e_enRv<1K#;$i3xJlkb(9}*Up=~A?MwnUFy(eK>01jNBiol$e-#DJ++2&
z$j9r`SNfdNgP2ElY`=^v$+~W_-kYzGWZZsi|0hWoqFRy<Da%%n)2;G9k{yf402+M)
zs&&BS>f(iy$G?*ex$y-f10`f%RYZx(GH*{dHaBMKeJ3Z*Y?S#KQBKATzvc@hw85(3
zWL4|N?__?$zjraLDzc!q%~>>93mlcKJ@^W~lQ(3?U&fxVAs4nBdfr?}huf<x`6$s9
zBr|2pQdeLdx!aE4EOiwf+*Ayef*x0rK0~si_EGg@YgTB&?wy*j^VFP$3THJLv-C!U
z_j3bTmV5PX%WDmYv3>Guq@|kVzDB&iEY?i+`lPvX@M%EhzW|xDEj6TUTeI5b`>iC+
z&DQ<Br#g6b1bisss3W%s&nrv2bdU|fp4VHy(!eA#<;0$?Kgb@omNk3Te~~5jzYe);
z(Lgx(+L2RL^<<0SSeV_{E;2WWOF%YO4Q_31RId(dAg63nFC|^>A!kW;S8h%<i27@-
zRI<H^#E%)<RD=4+FU7)EJb_fmpCrp&eOgGGhyTsFy91>Cjy*FghE!o<L7qqBZ5z3r
zkawsY9VGt;0096043~E}m2Vuzv-dd0u{p;)_Bw}Sp8FW(mr;a@hP0G4kWx~ptcsM9
zSxKa&p{R6TNhJ-EQliL=WM}s~f4$fBy}sA;zVGvWp8Ip(xsq3yLYuYF5XSlItnq`>
zuxQTg(~;jCU(T~f1D%?<u`7!5Jh6k*ydhY0(qNbqv!&)@*(ObFsd_IPPyWeKaxBnp
zcr?OU@?@2a_b)0E?6<YAe&5B(DO&zsFLI2-iP|>tCV~pt!f(nKAM|i&x%=<r1x|46
zb|in$=b>WFM9p5~#y*Z$#z3Wa)L+gEJN2Q63<?%c({6`q4{%~<4zot;ra9(w>X$is
z6f_Kt8*F;;n`2aW#qq_OIZi24QPMwN1N*%o-M4s{)AVlS_DjY;jsbgemQ$sUvG4V^
z@?S<cVQnw>_?hq!7S0pF#=PoaODGg|WR7uslF>Rd$V)iS9a(0+Tn+R`Cg*>}O>i<e
zir14``H6%gh$ok*;@AqU3D3)aIV&f<PMG`?B!&jlR_TbV;@qDAp9gc(oW+vIS6*Bz
zLWGi{OBpdL5I+@=xb^%Tr(0iXx%#{qv9sY{A7e%t6od0|?$Q4^u}kSs4|YisG{qlk
z{}PpPPDOXuKVKdqHG_A{X$cb1vHV$CtDZ7!ZN~hD6!{4Ko81yAA7zNu4^F->_@;zq
zCyXrkB?Jif1DM@aFGq+Lf4%?Wni5|2-rH(xB}DjjdXnoW$;9vR=(x-?N+_xfnjO6$
zLQEy71^EUl5sL2nmb(-vA$#wQ4-*dJM5<@MO#8eFG1C^tW74DqmmMkbAv7ss>fp4F
z=}&dS{lB^vL2G3soV#KE-IPS+Y&Q7SBSa<ADT!f9AC=)dabnDCLWWq!pWXDOMw3V#
zSn8Bit^${=E5)t7a>U0K?+iw-Y7@O8%xmd=s+dzdF;pX}K%9E)*ZSv<F3~D9IrJ(<
z9l}OW37!o~#QHrX^N21QVP~j2r{_cgi&`Kg^;?C=4Q)Go)ZUO7uW!ozlT1Z_ah>M5
zGIb(q^Xg>_<;FzerKl8Nsur3xRNVzWQ3w~AUV-1*X2h38+7CzNbU;4f5iPq*lQ53f
zUUoOioVdED=FR9HJ*0i<K3z=JCX&>N{QIvgh)$Yb4_pnPahzlr_DhEd9b$?+l%^96
z@7t4CWgFvCww{{ab3NjVU+Um_HiP&n#~!PDVul%akGN&U`UK+~^RAb>6)`;}Nm>}S
zfZxT+Pj$(Lgy-Er3m+A0B0b+IDlm+J1jY2LRqKq2D@RNPGV-j6s{?jq6Ky6WOL#=f
z$)-d|_%37WQ)?n(LNIuZh#lN{0wN@qn-RynEE3a0t%=Y{mDq1WjtHm>+DRTaBleul
zE3Lj@MNkzSx5>l<1A_zN<~z-a!Lh7g6)p^-`kD2wu^~28{UvV6KQJdcnl+w34YwpR
zs|sDu*f?WGaj0`^tvSK}`FfQC!<-n4OR!e=aY0Jf?ee57bK)Gm^W#lVV`7NB)<V+A
z6_JU;o)lAaV)>_{lX*>g#6`8n%yy0|#GaL`ay(&16n;2t8tI}*9N(xi-Y>Qo{u!5-
zNbfKuT-LrBi+iO+2&}dWvXxs5jY2+G@$JUMU~A_-vl~*xqndBl+d5pq=(^vzQ`e9<
z64JOyh<A>ouAcQ|Al4OXmt8+wJfIPj-4lHu^Qu`BE7vWsr(K|V+~57Yu`ZEuEitcE
zWtL@n@--!NjSFI)T;l(juSF=o%_Dt?5&~y)+on%<o#DC9@sqm}l^B1S**Qj%f}eWq
zsjvLb=wL5<AL64%Y`C%RT;56<$d*)#=dE%=ALF4U<F+E<Y}jlW<|BuzO`qId?y|wk
z&(c`xCr2~{$;WIglt)jUjg+?>8`EWqeiQD}#L%6KA71VzWB%Z(QQjlKdk_A9AB;qZ
zg>w%x23pCuYFp5{V}OMdT94<Qw($}!xjYMvixg03qinYImm@r)_9|7RPjS|MuV@RI
zB%|c$GPzH)4tTOUt=n8^fWt{E7L<HX##;xX(^=gCQ|M`--hRUo)bH=Hyg-JxdY~v}
zxjj^88n2DBn^`p<CzM2j$f);vuhN}n2ilXdLTbh@)~QWC?_`b0km!!-GWlkUP1F8=
zIAP<g@)d;6BR(>c-Pp%#ExGkg$+hw=GpzW#TPw;3<PqS_v+h!+4MNYCE?%>I5iV{}
zm5=C^hci#<v0sa9Fv7Q(FX<02Hb@-vUq3C6-f5@aiAW}n?B~QK`U;@0?(=`TT4Z<{
zw3@L;tYNTiZFXw15Q2h;%%7Xd==o=Vc;{YgEZA*SoH{Rp7fqGo|2-ok=!`K7Jl4o;
zeIvakNen8tN)|m~Dxh*kIVJO~6&9~<Z!Qg%Kyg`zLTH@=C~kDst)^Bu(Dv?Chp`lr
ze3U<}jZ{R^Q=$InjSP%*#ecNhFO4k;m9JuLl#n^U$>rlg28`WCwN+M;&@+5r;*z2=
z+<N9y-x)JtcWGyzo{bF5B5zj3kyH@Pyv$tGM~Bvym`(T9Wbvb8Np7u{Dp~~Swy#R*
zU^evFHweigJx1Pl%u5ZrajRp`N6|6*Gw7)Mv>eWgoDJKap^ghb3S)=e>EN$gdbnat
z9{ltGt(CtuU_JWf))qrL%I@#@9XdtE=Hqo)-nS`GoDwd`lcytQ|APkyg%x4$VeoTL
zI2Gl?efdko=s0nGvi-5P63q6$+oH+R#NbBfYg!U?7}NINs`OOGlPA4%OgSw~cFg(D
zsL&zzZBVp4K?R?6UXfVCT6o=|d*%X@`(8~~sjL^OkkIs<+|;NIgW;>S?>5r0{MtIv
z-}35+atb-Lw_FGA%?}LL=hKlz88&U&tpOYmYIuD?7taDO$uDsC=fHtDo9XQo^e465
za6PDp8(HeZaA9C`mVNF+DixPEC}z6((@^iep+CKh0sFZ{A-h_sSX8M{R-vnpY0l4s
z$|hFO75q4se@+uvW*scprw=XbH#U!-SmBt+ZJWK`T6nWXE02|FfRbZ@H-`ePks`2S
zU89IL+{Zpu8tWV4kiT;BV^Jo~E5uf~R%s)&`<LpGd_&CkEN;2{k_jQzYb=dzI+(0I
z(9bt)2&1pUOV6a+K+R)BKU|diKjpvA^(q=+UHa9j&R|>Ud{|*;l&_0Ym95)_<c$z(
zGAHX}XNR!Fu`fncJzVHr|Hh%i5INdyv5I7S_{X|$2~O98Zd29qvV(>gmVH$8Z^#}4
zuLG_Q^yxw8`I|E`T?R;Jre`HpJD`O{Uu#FBA!tH_)2L#Adk?0+sU|xjCO0_6&VvSd
zr34QecYjRll`9srSy)f^+8VZk29=_jr4qt4$VE084R*7zqxiBup92lOq~R%^SGthV
zKNMYK15gBq`-i!GSH5Veal&-aP)Vu176F*l{iz>)sE0e#2QSz0Xyd%pSJTP@;J209
znM8LzJW4ZUOrOw%Qx<Q_!75<y??#><wYtbX-n(XAfr?|xm?`6LfK{otlb-AAVx+w&
z@vEN(yqvT6Gv5JDZF&_E2Xt^X-ruL?f+~2*T!W2kfJ+nX$e734nEj$S)+nS5uZmnQ
znz-Y3j*vLdJ(p9<c8pGzDBxtOQ%YMh(3Ur(aYRiEWoP=AJWh~DU=xp3$vPm17bicv
zYNBd8ZDu-07CTJ_ON$JF3CWd)0%25GikjxyjgfHc=kbG4T`ZW$-{8?cM?vJG!Bp8~
zX=r>s@N@T87M?1V?C(p|z_f&nkJLj+@LpN%me=Ws&uzo)S4Y(F!f{K<@H=r791dMj
zT;+%h&y8M2hN;5CplK(sj~G~IH54lA9Kh&v{v5lY3}H&9R<5-u_S+4x#BCgKd_QF?
zvsek&)kWN&MTsCaUbb_6u{|`~e$R()Q$+Rji{wl}5geMbvVJLV4~E!ev)5t;_{WK5
z6txTE=4inZtz&i=&ns-nbR>hNy;#!luP{DZ_KO=%+Tt-y{8NgLJf=ntL>m1kg2em^
z%ZP2Zu<(B&N{yF8pPj|$)9*xZM_R*p?{^#Qxi{-6{8kp1g|$u@#)~3In6oW&l?|@#
z;~aWwA&av|%hhhL7eiHG-UC`Q6U&)BfAa6jKx)}8=FN@bI2A4Na=#xFH(qc2@W)*S
z`WXQ_38@m0U6RN9>Wej27QH|6d!B^1I^<>lHA`Z+#_yhQur(}+(w?T5B#dFV)(;J7
z(36Jl1pcwYlk!RFo)QwamH$pt@0P~mVAC7QaaNd4Q&xz)NJ4(&s+OgXND$Y1rT#&|
z3e~wzN59`Bfu)!bcf3Fb-4VKqFYhs+-n%Cxzk!6PC#L^2GG(EkQ`PL^$ADz2E!{y_
z24nYg$jLc!u#J`cFMo~>StW~@^}aH=n@uzDyeE&?)U1=HTs<!}w|~UBFN24?D{O_@
z$dEgK+jspsIvl^ts+j1@LXtcZuu@48$2WXka#4wn+0`4@ow_575Yoi*&ml@EURJs`
z{F^2Iu8)2B(Nhlc4#oVEZ<NubaZh1Wu_e^oE9H0><j@#AyK{rHDw-bXXUiV6#JPX>
zL)D+jqkEHovEX|(yh%KC+;o*C!gJI#EwjleI2G~u&rS`<^3+D}V_CwpK+V<pxB}#Y
zYZ3xaQ_!wHDe%PH5>*fPKXp2;hzotTLp709<R;!6X*0FNhj)i3#j=%<V|SL$yFn9u
zDZ;UDY%TF3v-Z=9YGo|^yq+rOr-fbH5;w=MutZeFHPzf%6&%aVA3nEC8|4Llc0Ang
zM0)swmYW(x15!QidFdc|lBipH*Am~|<Xk=%spHg_q88F}UDO<w6JIrB32k0A>3k6i
zwD(x|yk4#c2jvr6C4A|~Zvf5gB?S&I#<BuEX>jbUX)`3~(0w~#urY-S=8Au33fTIv
z`u0$r#bV$}uH4^i-kR`8*(>mYW`GUtEmxDceBa}|;wDu^3raCj^;z=<;4RiU*cW95
z#TvV^6J1)+J@Y7D^^qY&?rLQ}H?f9Dww;#ub!}YkILB|c$_S^PNq!#wYmJ1MK+TvP
zI<O7-Ae!80gamWOp$iR6TspA7@3porE(w$DMJdK8&(ptS`M?Iv9l`yN8g!w_|NWV&
zqcMKWXLm;x+2ZxUk=RQ+^bm4T=!cx1F{};E?gwYv;jGCYYW=t#-qXw`FMKwFz)X76
zigbGnCK?4^+Dt>3(#CcnFC(n9R4LGpcfjsI@ng-8X?P<@x=@v32+=a>ii6u7kzXg2
zeR7<JN#eJ^XSxBF8aVfUb7tYb)QgZb34KVbiT+5~$bD8z%x3TdgMq7QTLknWmazLG
zTa1SMXYu(z0=QgQ*%lYuN<-iJU0FKmx)^2k`2D>MobfpDjgd}6@_rLZ(wsKbmnPW8
zv;rp_W~RSt)3DBJ`g!_lEzHa48eQXK<B!*&lLa|?(6kl~u)jxzkbABDauqf-;?;Fx
z{_0|0&pSX(mV!`urhJno8@rZVw-T|}MR2GcC6HeYOOJVLOLO}Rc%D$axqLdHFeLLw
zN*O=?^k=yVuyKPp8c>j?jb+~+7+3i!Ae4WsocAYST(Gijd9fB233Z)NX_dp`__I?3
z<v`<Bb=tKGO-!AByPs4dgUbn=!K%Z6><*sAw_Z{qx8~{n8&%TK|IhM@o)ZwU($rj{
zg@UP~1cPBKNxTZ}%ZQ$5!S$WWSBbA0sJU(ah%Z(QU%%dO{usuBUg(ngdKq;*4>CXb
z!c7F5B{c>*K0CsP&rWAzohqh0jtL$*DTHOD#RJbB9I^XNCfWX(GA?>ChgY!$VWu4_
z<95jbfmKp=;VdO&Y)l?AUM&E*V>c%{`5Z8(+%BHiq5$W~>B;#ze#|!yTRz`n5160O
zkxU~)q?$RpKA9i!K2OZQy|%-sWVQ35jq-Rs{kp&QBtOnX{ruQ#W{1@gnuj#~<q+_^
z{%-L*en@=?J$>MUEe1W!cfa2vi`zFE8Cfm@knf{z780<<!TN941T$q2@a59}rTqek
zI-il%7h!|Kc$sI?KS-#!SF$Mep&-cmP0m|-n7F=8YeaGh3E#76-sabZusiM0t;cJa
z5UkCV6swbly}W*mc(pLZ9`)Z=`D~4MSR^K}SsEcl*8FcLMIdIvu)XhRjV0@C#21vL
z@q;vW^Y>CQh;RRFd#A+;tp_VOyziv&?9{$BxlhCq8oqzZF~|yw{AOnT&q=|Mk8!Qg
zT@t_e#Yray8ORe1xVbJ>3MG-!XZ)t55V@&?QGbYmG+k+z``4wgJ96&U;|^)WuM>Jo
zm*e)kI=(iXltOay180TLB#^qdX$qIo5!ToF=@(rZ-zxQ8|9+E!r^NB_liqYh92$N3
zFJ2lnZ=Pe8<FX)(cfBD`Tf!yNxLAqHt!tV`|5T{SBb>d^&coID3y%9Ol>@o?!o%3|
zNB|k4G{fl1KuaVyZ|a!uA|af_cPrsKch24WbRH^LLL@zFq$Qrqqbgt9`y?d<S(Mcu
zZMDFTOHHLsbXlY*)o&j>sSMAncRimLTj0v4dlz+PWnog=T-8BQMeGqB3E4vyXjuEY
zN9vOtgjTe>%hs#GQt>cr$r=k(^fw89s+EVul_QbmCp18M?lnMPY=KjEwkDUqCWGI^
zQ~d2+3c`nn*SxW_K<ub#YipMR?tbczPbsB>I$7Q*>u3S-^};Iy<dk6Upl&{NLlY_*
zbRk_Y?)tUDY{k{eXq!#U9IeoTyGZ4KrePKcB~2zjyQ_lSpbU!oTWv)AAf<%lTEP3>
zC$~z98ls%{B<<|g!M~(uqf%`aICPe8e&&)o7^hsCodxtze8oL<of(%e-aW&|l_|LW
zM<&ffiw3hk<%7}ZEfMk~ZG3Eif;BgfO7C^h$BOATxec;(I2Z&Q4%ATb{h8p6Z(auY
zD!yCj%N05lcV#l~UDSlAHfgrW+Yq}qco}<nFi<FISwuUcg_!;#n?9Bi^bKw<JQT4)
zq;^ZrgZ0`N)6{wUk7NwLW=7w>Z&rB!BuT{AUI&M^l)O$QjFJAn>@Ks$8tf~}+K$WU
z;;HaIhel@;5V=p>8Xq&k(=tch)vk+*ty_L9J!^u4!hhvWxduJD`Pa@?u6~|NE`3S4
zZUU1d6D=Oiws3XYp0jl^4QkPM6K=<wK%mQ^#`d=zVkDIA6@8&$<*o}CWfe>iSxs%X
z6L3J=&vkvvy!CP2>wHA%7Gs>xj=MWUcEqzwKi(d>rjH?2>zt@?BRJ(8GX1E+!jgwM
zcYe3)WAH+IlfR=OLb^XoW(xw*8!}te{^(;z$-8i#Mtyji_5~dZ=lXe}$@Z)keZ;el
z&sSN}khnW@$uQUF?;n`{E|{Z_atqCl?|XEy(_^ZuTZxVF_y!+GYkf3W^Z83<X`?PY
zJYUd<jcn1bOo!VvSjV)M?7gRn6$X}`Povlv%^5l;El2~2j@>;C6pY<27qLlVV?iu+
zM-fX8V<*Dh9HzLu@ZG$yERl_p>y;PI2I)d>#IP$MRvGP_fu3!9**J3PZA~YaBT8K4
z>$oT&E#$t9uP+-G?y)u1JG7Cl*!P9zCx=nnNhf7pHd5rOUHpT!K)yd;f2M+j4PoAm
z?SlaOhUt%ED>PwmGx*f#rz8S*;O*m5px>}cqQQj<rLwHoQ~yMfIwF^GZ3FO%r~RFU
zE!T&|mcApZg>d4C!Tz1HK+J9GYQ|1=9PX1|`%+y1w&T)Y3=>$G9bg@)j8O$&sl%cB
zqI}??W~H@$bp)+qV0h0JZjR`?T|n&P!3=#qSK7=G7P(orwS9`{+?ao|WaT2%vdc2!
zk2=8MG?}gJp@8e2#=9Ds|5%;{vt`L&>~Xp-PW<nCc}RaqeUZ3lfn^{X{KMFcTQ}G+
zLftEeZ9Dj?nd}8t63sN4k!**CRmVG?*~ubx<MW{984Ii<tqq+P-L^RPq}?Y$O9mFA
zVSFT?f2_hrMq;{)EwnvT?p!w{;W_)CvIlb!_%1*Fm0fIu)t3)cJFMX5tEvp@#^FWq
zQ*9qflC(jA{1qPs3n|p;mh2FD!-He%wjYj<W<qs`uEY7i5+J{p+GzNa7mAr@ii`TJ
z!KcB0WBIr^qMVqkUbXY##m6TVqHC<-b~t7*S4SKPqe@3UN(;bkB6#)7CM&GxB;FfJ
z62r{ZxgRQP1QArKFh0D@3cbC_y`3sz$l36nqDKfp%H_)C{00WHuATDt{3eQ?Z=zQ;
z9Ynx#r&j;s<^}Ug$G_}XqNsSZMEg~fDDKqBE*<|)hk|pQi%PpFPJGk6we*-cG8bCq
zf9#}Vqn3<Ctg0B|9Nk{HtdNAlxV+3)UOFy|5ZY_v#UT28!0;nC@3?RNeT1BAiCcSO
zUB)EEadM;Z^h#Y4LaeWOG;w`+*y+>T-d1xt=N1(l;wXbincV%WzjJkxrrKDQEdkXP
z+XMZ#$zt83k@AIP3k(%{m9<@v#9`lsfw&SmXhfP&^tig6vfQI2kt2nrd9G$Y^YUO?
z`DiW~Gsj-9GCuv|(s0r^qieKH0h}F@@!faLp?*#Ja{@?6E+k%U{jG?IUBk(F2h7oW
z+U~|ODH$YmrMEeyDuZ@>g)7zF9F#i+(TZa-SZMD2(ZJ0wn_50p*y)%<-tp~{$U#{y
zCtUq{71SYl*81-U5p(RG`))NmD~HFuE4z95xjOy6yQ_cN3>mRMsvR`RI9XO0sVYiE
z;(6ZfmnO~NmwUaxV!Z-_!_SP&s%avfo>9f*F-L5u(csJbim*7+J~Z#B1%trs)#57V
zXwW!da)zpm^d*OKgt_<oc~_?B8CP?-zgs6hSEK^xeagvu3U$z|KnhzGZ;msR@_=J(
zHQW{6YSGcD3){4-lH(uD@rCm00&`3qzME6R7<x45ZG7)N$FzXzkcjm2H54p<{QkkF
z9r|GCGfc<JEl}DVAFc2o72n3}OgG;&K+{LMu%){t&c=PL7jn>qc)cl0rOOb>98-Z8
zT%RCjP7EhoX(4K*(15RqF%0u8c-)`S(Z}=JTi8+?GpAm*ewH&q_jRJR_6h^D9swz<
zOm&diAAKQdp34!@6E@)&t+1kd(CwifH(!0JmAq4FigQhu>@)9KW3*>r{*8hjx-)B6
zmTQ<nc<$R4-&Q8HPTZQVn$bhgY)<+)Co_1)9@v;AYl~kQTg~0-X((=<4R>UlfhDEA
zgKwoB>`Z<S{7KM9>rTJrD;3S~-&4y^yao2~8LAYp(=b3pnX%N3R8xE$|DMd#<$wy8
zkWEwP4NxP2<Cii_AS4sCyGo6P|0GB)r}_<`do|$hJ~w0VwWm3@Q-PBzu`wRf+&sgn
z&HZ=J5c9ipTL!KIfAd6`w?qtaU9@8t=es^$uNn&8qRd9;@1n=&J{my#B6H80FM6Q0
z7PfAPX5(%H{Z7~(1GHy|?Y>>6gWlJhUwy4+!>KAHPP0=Vv?bA7FGgu$HDjA#(<mEH
z1ur#{4D_Lp7_KvHM@99Xz9e69CsemZzi!~>PyLX_E#?$;Wc}Jb7a-+?@n@G$bouCE
zXJKI6+eOM)Zx-QxZJv#RKV*-cEL|KUZnA4k$XKE-Qk?OHjU8UalFdrod1)Ohl&+M)
zD1TZar-+Tubc)*EK5jmJQ>U`WTMAi`!Df@2*a$Veg1|eP7?j#|<_fPUR>s;G4|2Kr
zAlfZT>Hrm+RDy|y1Ocr7zW0IFOW?MD+WOr~D7fR5^>ezO2S=ww)0=k!fwdin9PHF_
zB_e6LQ}#TIJax>nM+T6-O7H#sPX%AwBLm$Br&y)58Rb{oSa?zz<Zsxi1g9ZV+{2Iw
z*3eSg9>p7unC79MtLs*P#fn-+UjHb|KR74$>W~8->$x2YlpsT!l(j2x=?JULZq<$N
z77obe(LS&?Kn}}ZWjVKn46{Z=B1PUr+oMxF$TIk?4DNdl{#~y-%z80!Crs<P9rDwH
zH#lw~;n&TteV?`tv#$5-a|n{L!`smPf6TR|fv%LFg5(ia<cA@*_nU0NRHkiF7MH}#
zRwmCbwNciHN8$b4$6UUgJY`=fCyq^m4j-g<j<GI&{X%Ug+dyi%C@yE6D3WF$C+W<N
zvx?Lb!n328*nD&E&TT!y;HWVyUO$>-RaX{fy#H#A{jB-h!6ibd@8y>*Et+EKysWt$
z<;>+yIuCi^q9ELPe7|3RFvC*WY37hvW`&EFS`$ya5kRsx->WOX=2-JthU96g6}Dc_
zWQfoNu<F@%L0SA`1+va8dU2is4cVyCkTQPkU0da|yLAzE)wMkTMPi`TGx#j;Mt<mT
zj__8X@#3>BlRqS#j)enaYVi*Ic%McQl}qHqJNFfXPFx?mpTbx@$gRIVki2?mnjfDf
z3cnxA=H>`j@8pZY{1D8S=RF-S2;mD`wb{Cs_#XfO|Njh^cRbc#6vxTld++_&kH?<h
z;~}GDrBGyKq@^UGC?Z8g8df1CrN|5=_Zlfu`I!w3D?4Ol`}zOgbM8H_bKd9k$!XNO
z?p8<-6lqgoQ#ochGj+Wn=>-L%f{1k`eg?Q#H}mfN4;JVeR{3#pCk5&?>w+S47$Cs?
z%$#x+8z}Ek`{+2V1)KAt;yiYY;8uQ{*|vlOy2t)(my6Q^Hq$;28c`<bSva01{ecTU
zj~}zuCusp~vtht97G^L%IWc>KnFl-_BVKj?M~2!0>Gd~aEWoTlIrNX<h4)YEZ1%>G
zf!1Xy$I6Knc9Sv+vaj<&=GgrV8GSO?E}1GGeaZ&@Dr0&l7WrY}^N+iMBbvbK;E`6Y
z$^i_zP7AIPg5VXnaLp`O6C(Hzj&^i%!pD`{SByo3!7%!ozZ8=uDCHl?`s~aNGZgQa
zQ@tW!FA-gzS)u_3M^&SWop>Nm^k26`l^D3%a7Dx%(*S?t#K!Z1yiiS1CsV5>;QBtU
z$_YXPNaD^{18(zy{H6JvbA3{9{Xlyop|W-UCD|mrj~@<jx{n(3%D{gSJVFMV8nD~!
zd0MrpAZ$N)PE6897PJ$rGDn;=AeF8wk>#ZjymR1diAt7(zsdj1UftG!gj=qgg3cn~
z6!btSXha^gVxx`DY-m7hNx7UEqZk}LzW<w<y&@O~CvB*wXacn|Iy1OO9Ojx2DaO|;
zK}5%*X_^ulwDv_9vo}b>s4%m7t*J76SFjA2%OL|d>q*@o2c<zk=;a&DIu&@9a-P{k
zTMK^M@;TfOk%11{euwuaYQUajrO-F11t*;y&GM6EfiQJ0S}0YAGZ+2qG|MT_W*VEG
z^-K=(RmLTw_%)%nOvNKPPaE>{E<{9j$b)P`UD!u8GVmG+^PMcyfexJuuY;BqfWcFe
zbn7J<I6PWo%m;LV!lUh7Ev^Ks^$UV?YFhB$`u(3GWPND4x!?1L9trNzGvDTm(gH26
zK=-rh22dcfqd3`I8SbZ0m+T&D!P}Z#X)!?~$cWs2aY$DMf+LNTp54^~6GP$eZTF4A
zxna#EgIyK=4zKuJ^U(sl^zmc{#T0h`4XO^PQw2{q|8E8}WN0(D<>aU{gEKO_B#v3C
z!Cy(O<40`BaP&d<E^l#wRDrMd&(hVPw{BO=!7mzcKgX2)>U)4ydY`n&7i!S#mLIU*
zqz3LM-0t%PnnTb`!PI1?8eA<-Uip4d1+oVibIr%iA!%44OJ=(o^a<xhhqfvK3zLLt
zh7%R;oKNrYd7%o^x|ZjgxD+7jYq=6r78TZqetPi#RRK4d`D0N#Wr6=1>tV)bDv&8E
z4`bJrArouIs*<E&Xwo9_Y9|%EhURR-f095)CC}4qMFgVlacTP-D(rW13u(<!f;iSb
zsW~+PU}Rg=U&^7vU8W{VkCh^n(UTvV^>73GHK(~Me=5j`3C7cZmj{)~U!6istiW?~
zcyvjW3bUbh=3a;8fb+4=Oy?;&@a+8Hkkn`n92FT{W{WZ)L~?#&^kbE16CatL@-+uD
z_l*UP1ZjBkXhLD6`!CVI_FGkT4dB7$rBOdiN%-p6vA@-3gy_2Kd%oocz=ex1oR-tX
zAZ&lVnX<=c!picv(R&4epS`vofm|ZsEoA#ZBN7orVy(l;Qv@^@uG%|47X<I#?WCU7
zB2@U<(aHOs8MIo_=M_fs!y_g?xf6GqQOVvL{<E#7AR!<UJ{7_Xc%-aMfc6t=XM5;D
zS~mgyJl16YbZ!s?UIkCa|B&VF602Mt6JQo76zS~ZfQ-KIAMVH65&fmHfr699Af@Og
zrSfU3F73Qd9^P%Jh;#6nTZIwaS#Z`|6k~?cE~;N@&>KX}@Okri%@7KnES%4K!2s-S
z{(oN?)S%$l6qoQFhA=<V@=Pg{4!Rb`D_F*EqUY<gDp~goK*PEs#;Tqcwo`adsfm^n
zU&dvEelF;PFuwczg(3~aWgA@f(P<*~ls*~a*{u&#I|{mPC$1A6KfiNuOScmujtxUJ
zm3qJ)GdL$iUL__I4*jdO>>*g<`75Ht^x({~n6Px6Wnvqj6phlkK4N73;33aTx}aL{
z;%iXyKVrt=>wY=!ej<aMLyB0?fpFUawtEJP#O#v9)6Ik-;#%Wth2ldx&?<A%gjIQg
z@HL{?3RjH~?Y^Q%zW>yQT{aGHcki1g#yj^2M9z#8XM6c_CiZE=K;g6eq2@VaYKmVa
z#^4VzcvZX!f1$w7j=_eBpgAJ;`Y%5F)*0gD9cOwQ4+><?l$-1!=7@5E_oU?bzeEH}
z@wMOqE$B5F3u>^KBcgvu=_WhP6K@%9Vo67}VBWgkB_?!^aQsAXK&C7bJrk`P0n21K
zp5{o7`!q*f3}mx@sJcY#B8M8tCXyj@JC*Fdd!E==5<h&Hx<WAf{3~~nB*T+iuejtk
z=ZS^$Tz8z#t`XC%FV&ZiXo8H7UUX{50<l`zDRAc729fG4scMj?0Xu5f@BI3(NYE=J
zdy^_?V1SNgTj)=9IQqReymj^;VSj+7=QH0n@JeQxX_8Zi-20aquM^9JRUX@gv1B?>
zJwp@g5Ud7EImbVYRId<cX@1=)R%L(~k;Htf233g3e@V~ly+#Oc?s#22&InQaJ(d25
zt3vD3ma9$r8-&>tlaep(%&=$g$C7*JRe)BXVK`HU2IjZ5Cy@qNfq2^J-ZZWZu>ru(
zX+aB$m&QyO<T!vkF=u4*fHFwPq|v&?ZrkFxdWL8^7pTRScQy2pAneg{OHV%?>~p=M
zuPMi~b^g4Wus;cAif$UJ`Y}Lw*!4XL8N6Udss1{-qy*g!ob-n5OmKAXP2FxSe(>WJ
z<O|DCf}-L*9E#tWp?Gr||NSEXmX`(mNj6HrR_SN#_LUXlT(@SnQwY4H_KP(zD#1Kc
zz064_4xk1o9<?46fpngwK-XSHIG0S#w>rcH`>OotsnX)`{Y=LPuUbX$b!@3ULc;@-
zeYPCl*CZjNJt?QDS`m6>)S2%c<^|4Rotm&a(!f5-CNc9#5uB^yB^&1Xz}PNGZ#RuB
z_!DAYeGE!q<tA0rl`8<JMD%`C$H_q}_X?KwQUam5>g$hA2!U~$$$uB+6yQOuL(A$f
zCAf4}gVg9R0{dRS@~Qu(2&UI3i}v0i!RK8}Uu<H;K+x+$=+UPnfQSpn>cW)a6{Eg)
zRigx)^*miEk*oqehBuUUrK^A~iSC@cpft?h%n&GzQG)^PrN8IaRYCt<UACvE3~2F(
zJ{>x%0Vh0Kbo+|bA-Il~dZbbo#0vg+tr?PmNy%g&vqTd<c70$L6_<w;W8URr4J}Bx
zspdA%pao~5#jJ*}DZqf%enToh1-eg(RdM-JpoJ>+aeeFGhU}j@Li#DNIeI+Ob4nW^
zYD7vQngp7Or)0{LwBbbPWXA1Bx={Y(&~)Y>WiURWUYo|G1FYj*${(-j!_iFcuS)i+
zV5U+=mt?C0%?*1xXOj(~T&h0MF?DNi%7mA-Sm}UpA+vZ;u`&2PXZ5Igt`3VO(#e^N
z+8|HA4~g}ff~Wk*2+q_1*S6W0*}Ju2QiDvMT-xG%nzEa<jV7Fbm!C%GNdacxzK>os
z=J2JWBIZu9CQK?Q{%{uB+V7Q|u5nZ55MFzO*{)d=t}H2qScqssdrscd&X-hJ?a}v@
zOVWe_9!K}TX{u0BQ@JtXZ2=-uUg_u7G(hs-x1^O%O2Dx%#OLEz3m_|g8;_UJfb@yN
zLY{Fs7`-NyeOA#DGMIMGY|N{{>+tQ&08~J$znYxVTX9<!dn_%XaM1yBuBt-P%46fp
zNElSUo}fQqXbI656m}TTC_~;``Q`Zq9-t3Vvp>gT2{kXn)ZVL+V7@f8K=A_;ocZ%D
zz3!C-l=4+1oN-Wu#*mZR8<{J_y*!f$R#yuUSWoGD=O+(w6l)FJ{(fSB*7N;RKNV!V
zo}{vd%Yv}?+7Dxz9z_3I@sF=B6|7uO(2b-@L*$0eQ<}vYROcO^DgWIZI`n_bpNy0M
zVQr09eQ%c0*yfZk>t1t+%aGj8zNH&tCnTaxm1ywE$Xd%^p8za(g^rmP2||!wXd`p@
zHq2}%YIoBPK=1Uu>{}Upuyo>my$~Hej+5mZe33~&0Slw~wgztKyXZr3{H4d7d+nCq
z=bOQ^Fqi(v_UvHrfvY1Xhym9;J`n%!r77sQe06uc!34cYPb1%4X289pg{suACQxpo
ztdeg{2iHc9o#HsmfQR-srg_qtK%vArx9Oe@;!m8x#4lL}99#9RwMEw$`hv5b7mfcT
z%62?C`>=@~zw0tNKYhXo9v+Km5q>#K(2_s1X?oIQTYm2ES`~)SoRFu!7C1_X=Sgtw
z|3`=0HLC6|Zy3O_skUb`V&93j^z6Q?S#)^fc=q8}js}p+v!;>B^_GY$UM^R0q{COb
ziWpZP>x0$m$I}m9mY{21T0sn=ba+~~(%g<o9|D%5U&mW@pqT5z!ewjQu#;g>vGWl<
zFd|Lt)LZ?5_C;>r=w8`|z2#@_;x1iCu~N;Ipbn#d1_Lwxf^@j?*QK|6EOddt>3L&P
z;y4NzW?cKamG{x{_P^g>=)lFKLF=;P(@3YJyV&z79nOe-S*WS01AkUY*|6;|y77K9
za!ipPXQw)9t3K0)gctN{g5-Jha`ISE&{loQXAjiWsB6Qk$(NthcPt{uL*u5O;uvto
ziN?2WTROj&GV@u^eF?p|TCl1R#E4tm4sSbPMgdX>)oIOd1%<y&xt$xrgfp!O#o!NG
zV1v+Ez0+%`{Q2kL{5)o?_K{;3>z3}mATc;Fl(K;gO;)sfS6J}NU%x}CTYEY98N;}b
z7Y!Dh9&{0lV#9meUhmYoLxzA-1Mh-ZT5N4|J}O(412>WF&6y0yu*<qj;&A0QtYL1u
z*~83*v*%LYe1EM8rRO75n^x$sga=!CLlQS$doIW7E~p7AR$WQ0dl+!%d-giFA|5<0
z`1O)(qz3dWH6FOt!iev8k@`EwdGWKD{!*H8b<j-v@*3QkaXPPP@xSf-I9`nP#bAIs
zoE)SVTxDX#O~#86IamOHxZ6-ZF{=hErRSfoe`dqKs|R8$J%n&aqEAQgRW*1rthRpR
z69<+(C)B1WE`nLdhQ$~S)PSYvlm_QC7oJygD(avS!|oLm>{l1Jcp+_C6ez)i`!$W$
zLfIwoS-Geunyso(*N|Q<w4WD0XLY@J1*GtiyHyS0m8#I975LAnj1PO|AIRtXB#m#X
z?;Un}r3&po5;%P11#o0H59=7OEVh^Bm*xJc3cu}RD;LWIvD%q2t=uDW_)20}Y`DA{
zFg1i2P`re(XBewp;%9j*SY30mK3NUO5%>14D2w8?+i&PB-4wBAa*5}41$8)UzVWG<
zPaNlEH8IAGD&Z)N*W~`Kx`~O8{EQHn#43kdsDts!SnwiyEX}Y6ociQJ%8-%9D!XaF
z<*KS;o2JI$e0DOND!xc&vyj0RA9vpO?^MIa#ckB6W-_!cusX7zl*M$9Ypgg<Yv8lx
z>N(zdTA<tzmh16E4m;=H*Cy!5xOUL5MlFv5iZ+2FL!<JTb4T6a$Jb<>Mf6uKG;4#0
z#Ii-2sv_PwF1w<8Pz&qa<k~3a)`f(?OT2zZmGA)V@5SN?EqtLiMB;sv9vG$^j8Mxb
z;qh<%!ZZ#PT=Jjx@$ak#5a&xP(EU*vU;Iw}x)?{nBZ3~eJIf4##o7Abv3?b-!4i6m
z{SpPsCW{uy95n{sJ{QHvE>%1iu92y1N5QuXvO!$K6zmV?@VMrv;q0zwA5V8`VcN&f
zSyv~_;D>JBPHd=-zvokR`NXua*;w-o&lXp;pCmN<-&MzZpN3UDP$1*r(DM&%c+EkQ
zada%MULB|9)0vI^RmWX#ldrARo5K|CtF{yQ>ez)LNcS|TVhcx`##4K?d}Ty|>w=X!
z4vv(Hsj?&CqEybD@ON8&u<`7_xB@lYzIozAt+oQTtNTy*zOV(<+Rz4*-f!LiW9wzN
z)jzLl*PcXfw}756-RCIPDwuIGv-TIGB)-gPJ$=;C0#Y^9x*EciF{fZpWs`|8cK&QK
z6l7unk4Eyosc@5U-=k(x_pSK~VLeHAj>7^1Om6J7y{?F3?OiWhII`nMU6w~|w%!wv
z;L1I-B9CXrpUUMj(qmV-JNg+XslZtjI_>KvhhP02I=O#s8Ab3L?%3d<!T}dyk$;Uc
z_}?kfS<%W#6vC)ypLE|GI=98X=+>0RE5}2twk>ob{f7M#<(lT8moRz#wUY$CtY9|H
z^0<MB&Y;McyaM1J-R`$5P!!jd+2*;O{z=@n{Vr&21<?NDw>MXT5YEd8I9K|5giwu1
ztZH~jz`v577Z(HsFqUwk5z(C@j$O|~hV^C;NPlydQpt-u6CAQD>}H6p(!=G>gQie^
z=*~~^1aACmUy`zu>MU_Ag8H_X%@ovZE!?^UI57E|xI={hEKygq>$jq@34Bl~tw@Y!
z!BL#rn+|fbgye%E((Wz4>D#usU)yqvzt?Sdd0d(ySV%qnX2nKeQ>gnr&4&(quw5(D
zcbO)53nH1G&l-ZBaO%6xb{fnODvW(?r-)S>UQTyoL(sXxA!RAFj;4ZzBJ{W>h|MFB
zZj*@y5c_-Ti;mDTS`44qXu+dIi1kx@;a~dj?neC0`dbSq_7f;%g#0EZW5u_n80mxf
zz4DzmF8)O`=@*!bwTB23&)Z_`nR?K|(LY`Dd>Sdb7p^|y93VC+lm|OEbittZa*Z6v
z1bV>b`z@XI7tuQ`%*h|93yv4bz8_dekm>BAX^v|jF|%3zgWRP9Z%*xf-gbKskuDYg
z{W<!X7<bskermf8l*=Z{4&VKS&dVRnSZV1dSZdl_N?vM%>yG|=+hqEX;05FR*Oxnp
zt~lfC4cgj3^D6y|)tg?l(m!@EKD3>%esqdHp@agd<Mb6d99^h+PvE-Qu{NT<RcY)y
znF9I?+WSWa+tF}$4}N?49YMW+<nxmXEx1^pZ6Y7khT0YjWheeM5x+uCp8RC21sm4i
zV#fR4B6C9l>XXrWg15SxR(FeIk-X(SVhl}4T(8*HAhM2NS5-G}*uBNQ&;jS0Z!yxb
z(B2u|T|-0#Rp{V%n(*ja&g^!vT9i^DLz4JZNzgM~rkS1AfTAmuQtyN+<j27jaml5O
zAdM%aO^Ry(srC&+X=yo<O^u@Eds0la@&9L@=%5a2Mw!0)Q6)&?dhxf_=qJS3{Cs&{
zf*S0Kjvb}uJw>FGEv;ub^9i!z{1n$4Rd_mf{Luw+0gADF$Sq}dpE%$yEK|g!3d`Jy
zZ$x7rpluxQ_-_BnBG^0Gvi3TtKqTo1OXTTXB)r2>vw7zoLNj%&Vk}D;K9(QM4j;)v
zg7)<{Tu<B}a-HnnSWb~ZKzKGuuq_Q0iH>Y2MkW%U+_U+uElA)e7+}g1dJC02OJygk
zUnE?9iFUT%Qv%TtX|*hT17Z6}+ebGe2*n-&?#4AmILP|VWLh&B)wGLwyQCi_-ewt<
zZF(uf97Dveu$Cm`5`J~?)|exKCN7-_daD36w}mV0Rj#1oZR<8gmv^H*qdo5jDGDGU
z>pEqkn}F&wI!2zv9Yz@)1I)Yg<l#KeVS2ZYcvQt__0&iBH2M>rrgB$69^U>P_1_Yi
zXzh6Zu=<U2h}vI0`S7Y7q+FvUoQQ}+F;C9grjEy;_t_0~yP4$RXw!gtbzmHl4{Ywf
z5f_gbN7n0-<7HtsiKpPz^El*YVD~Lw=?c<-=1O3ag@>Xn)pvHpBfbcsm>+{z(R{@c
zx5HH#V2_T9Nz%TAtO9wQo%~Xep=jdI2mCTnYN$0=ADDoQ*JdOxgrp)TA?gQGt~A8H
zdh?F|_hmG+f;v_o+(KC{8Itcbq=Ea{H}~=4M5Mx&mEuE_hRUv<a{qEc3XTnXwF@;}
zMJ11K_g_oSKxItkjdX>Qpl8vL{(+Q?Y8^Hc>fG-l%-wKk<g)}E>iWjsJd=WWnd*!x
z0&~!v9sD~zIV2z@DQtx+G8M7kEDbsAb058avF{9FEe`GS*0~+pw~%@v^+JKs1GIXF
zk0$7n7@RxW_{2u`4jNc}vr}q&K1yGzUaV{th2r%6AwE0O(O~s|w&RxyP<Ta&KOMg)
zh-`Bwx0Pn1171R*n6VIXTBYvL^c4Y@<vpg1UiZ+w^l2IHwr8mFLu-m~r7#rhX<ENf
z%S9r7{>y?tpQEqKPuO$Vg+cmZjM?L^`{>?+Z(;PqQe=5`IPAe8As~u-nVFwGK$w4l
zSh-S;*ajaSVrmhDFPEK}M5^;qu4#h!v;0bwaY@CkNL>(&Gzf;qjRMrnnYA#sUWM`^
z^zVe<5rBgZ*Umk>REUoKUF2!bc!?@CcG~Tt6M)F-<F-n!MQHTMT##bSYa}#3ah5xj
zf2$99nCwhS5S_WVS?~djD%&(R3r6|2{C}T~^hznZB%CM`pxS`mWHlzPc=Lgr>*Ffw
zcsZh^4hpZSHKDI_-%6+Zcwu61*sF`YFOZ6{9D`?2Gdl9XZ8F${7Z$o`()=Q-(QD~<
zJ|{-rq4|Apa{PYsfQ{wGX*I=HXq<9LcBc3}a{K*Wwc4Kty!(T>Xk_XT6QiF*?7NRh
zOnGi)&onm(^7{)!*I*R;rP*d&@;|igN_o1<Ic^wehZ5zR4aj9#p6e%jC$c)B{!xyd
z8z7;uR{ud0QndAIBkOddt1Fh*eayHZ?SA($wwY#R5fUi+G^-bpjKX5$4s!xw`k(px
z3oWSr@g{YA$5$k+XqR&PE(a{IUb`Ib*@g;JkDm_R@g3F3T%n8ZVu$w7)JB%%PpHy;
z2knH@FZ6Zbowyn=JE$vO5N%5S4>39)I`@k_fM{k#>2K{}gR@yH(Zbg{k*CNI2-^&y
z;<CLfCE2VH6cr)%;Y~Lh=02-ull>c=Jv{#T(i97%sEio@fzPP?oleob(HL5a>7SFM
zvOr9^!eej7Z%DE$gyxFkBr4DP687LOGx+B#<*Z8nK=T}~%%=`dqnnnW_mkI|V3+^p
zKhCYcQ0=aP54o3T(eT5UvMhc~P+haMVN^4KqCBXSgE!~U-tK1+asM%bh<Lp1k%1u;
zV!iLaMBf7Pm{jExvSNgw*C{f+b|WaxeP504;Uy%oA-u4!fdQna1(mF5#?ilJx1BTF
zSJ9iy)ofvF2H4j;GI*3>3fXOXcU}qKKx02Io^$S|hnMwY^K{xX=y%Dx01_iD{_x<E
z?(XCCuqo1j&I$fShZr_{ycy}RixN{Z;-d$R4zq2#+VhBLE@W`FV89<|{a-$NO9xZ-
zO$Qc|7g3PJA4&cuCY<r!SElwV9h^<Mbbgo4GOD(|Efbr<ieX{kpJ@Ocyl=5jC?Kt&
zXFms7txGwuc;+rC4>vm4)lo9DKWq~v$FGy;)3`Cy&Im1sLv&!jXmMlUCM|AhdB`7-
z#EYBWt@PyFr2`sQ;uGm19lmy(xg@KaAO8?2?+II{gCM!u8@7KL@ctgn%ee|d_}&0*
z{KhSMh(GVGAs^3-=Pqh0ef=zg87FLPJ_j?v?<9p@4L>$af77&j^0PP|@^CMBe2)=w
z^o`_Cq;X=lh*er^L1}FIq3hBsEoS&ReNU%~j|W%wDve7`$>0kzl2O=#6@<!c<u7yc
zVf0wib$(6`cix_!$eLjXYm&2J1qk57_D`y$)D`hlUsskqb#9np4t6Ok7Q!D&n%CDe
zwsditE41z9g}9o13{O2o@emRB?0}Ifrjxb}O=K5<Br698IeQ5#Pulycl}!UXioHE|
z=ZG*cPI2CCq)KDELpiBC<H)!;Ji;#amN@)+qMgx9D~rceSi*hyD0p=9dVPGiG?X-_
z`05SHVUceYUtFGQ<JbV}3Hxz5aO)=aoElQV@tcntJ3trjb;?cX$y9<c{=Yh@G$ed_
zz;fS_COzCNA5hS|<xl;cO`PjBRdCeMA7MRN1H8z`azi$b3<gn`JzoT<;fptRDJ+>A
z;>fB>Cf-BZfMfF`E$?Vx&bjP0ab_cYZ(J|EK35N#R}LFL*h9ubLt>9VxEf(i%ifOn
zl14x)>MnfQS_|h_U0~TMXoU4X`?LAIGlkT;ewQ8m6zrLv>E)(rh})Se_C2lz7~e50
zuJW9M19Axlx=ei>)%)$(#aJqcO9Z}+WY@;=AGs%PdFbMtv2vpf2}_tt9c>eo)5fKT
zXftfDQ?T9QBDcty?GWC`f4XdHD-QXA-ifCgcs!azQy|I;f<LLH)gGbXFyGf@C2y7R
zDB~ARKLu;BxhBDQ<GvPdO&s8i`XY_1?wmccdE6RkzO2_zrjfDWm<<=x1%7<CKUD6#
zk2Q>2r_m%=YT)bR?*I7<(&E#utan#ft%3ADQ0v9CDy}|wtbzKzj|h7H%9wL2FH7{}
zt9w>Rcs_G@N9AjJh^DGGjkIis5l`mYJJSl7q4Lbt8=5>YJmn+5NxL0}%<eTy{FcSp
zdl*dx4hq8l^6{(n6iYZix-4_xmlXaV009606qk2A6z&7Zm62%3y5Wx7givwQ-F>u6
z3PnQ-krE<`h@zAgeI+6l8BtW4q(WMhP^n}@LP$e2jQsBR=RL3Ib<aKH-k<m9?Q$+d
z$&8GY`nhzyZ40rJx|5~IBUfyw&8snZO+nf$6_dN?7a;!v>k_R~v*L62gN=Uiy71|m
z*RubM75d&=cgD2Otay=7v4MYF4_Z1Yr%e}IVQS$5&a|gW6%!LRcOs_HFrBMXZdwEc
z7r$4x9v>?YGU`(OOQ2!b2_kiX35;L(bHr=BzkIpm-67qnG@Q&>h&)><Y@cgzr;#(u
zQ@@*rn7+`%xjES{7`r84(5*LE8}~?+uh8RG?A61+>Z<OP0x>Ky+PNuPe@UAw4BA|X
zdU$X)hPZRc5@N4@OFMZv)CFGhOuDa&Gr=}*m)Tn4M9ABE=hX^ODj6Bj^V7w)`6sys
zWg=W98Z_Ipl`&b5>8U+W7j|7&v+U=KP;+{{bN2~VEIFvW^UV}pY<O>BxaGDG?cYMH
z`}1c&^zixSu%A>gYw9A5mdM5r1e4NB)KKWFtHAw51vl==$yaRxJaTUJmyXTC2K%z0
zJ!-lL`PDI!e^7uA8s&HIurzS;x7llh1-dZQ`_y1)B)|o?j)AvaP5h>)Hob|}MIigZ
zo`0=;?4IM8)5g`pQlhqHNv|$04!@k<dx{U~B14N)2HLndv#a>2vmPiLE{s<@@!^-Y
zJJ@k10Ry^~3tx8WLAc}rDTTww#2?3JBLf5o#f1bRXm~qeabV3~9`dFSbc{VFVzrJp
zTO)-AgDvTwwO;c;RcK)NXOJ-Y`-hf{pENLug&Rk2@v#5J=gl+x$cP@Ruj^k&M`8G5
zh1utMU|1(So3~I0KT7;9CMxNudlF^-^dt{f^zRm*wJ9KIb~DS(7+5g9Q7WIrgTd#|
zfj#{cm<>1OjGSknrF4tU<WwG3Ph=aNen3UZ9Pa@S0uwg8p3glwJXB;{9i^Yvg<{5C
zg|v7kM$C?_t1aVU)o_ok?H)Y{D2fI%C$T{4{CVMiGY^XyUjNn`&|rOBNunRX!p)CP
zhi)mz&d1`*_r<b({ugdp$nIcaNmEH(8kdj9w6~*Q<>_#HGP#wvoQ;u!5y^aiK8CVp
zj9>GkBjD-NyZZ{*(A!BFHo3t^8#Oepp_z`~5s$WxPq5Ly&1}E+glyb$X0Xp91|pty
zOle%ffp6um6*hJPtaUS`9WP*Debpxuy=V?H)b1F}xG2EmW{YccRG6r6IM=Uvi-Ub`
zlV0pl7Q$7D9AfCfMEr}KGSVv!0t+9=FWo7GP;;T!wUmh|l^0!~w{mdXy!WhogAnsF
zV$v=uvS7jsZYMNyu%w|q%2^=7`Bd}8UCUVL7DUG`Ea8BreDTBOED>^x8;Aczuu!70
za#Zdp2TKX=t`*9bNNV=U7{9{8z(cdAd#yN#h>eN->TQV?6LrUxU$PK+#i4G=XEweR
zJD8<Bw}j5#6rO(%3%5&WE==6d#;?6(Z#qW|!P}|}cfPT3>$F;5*8~d%@p4qnU@^R@
z{HAk#ECd@Z4zmelVO@Lna$=<z8m6m<2=7>MOtg<>w=h9}c6>ltPJ%+cYk})aSV-x7
zb5~2q#BkKf>m&0en2EHXuj5$ApQ+z8e4K%U_GL;7Hc7C*M*pPc8WuhVvqrCX(lN*V
z4|8v@1bctY5bv4E0xu(`T4+JXr$3ei|7Zz<6NX<US2FSJ)D_8wXc~SCbn8~eOJKKj
zi(-=(6K8GtZ5zw=U|uurlJj8+a<VvsXQnan!zikZ6RL}P`X+TFe+fK?(l@QmXQ1ST
zo6_86R6H!qyt8eM1ZAO$4M9={euehz|2&%loeZ1hokkKYJgs9D^@@((V-=HCm^vt}
z{rNq1RE)ts^*w_gbR=v~@XNL!qvM@Il4F$^>mEmBaQ@Ix{E)bvx|M{)*M}Z2J}gEi
z@q<ZV91S-Pal%&=5)sy!Ls>5sBkE7*TunL+g|`on@0&%0Me(NdM~5wO*f+UmaiAWI
z#hWwZlL&Zwc+ca97c5a`zb!&^MaHQuoefh>2}rZ8*#Fbf5`l}=7e5-J!t3VERp#B=
zD6W}&s8`++qv!ioT$WH_Rc614dRrT6*8kFdu81K1XGdO{OOX+#$?;~UHui+CkL7I?
zA$$GzfaB^Ee6!D--<%~I_ns*Jt{}pJd1|vK5_Hf%-!#s%R2!bLd(|zj3ej0zwNj{~
zgT^|+9<FTNg)OsAC2tbqmqzNm(%WSGFfMmC(I-IazxQ~uiV!EVa!PC6$(V5>t#DB&
z0q3kH%!=;_(1>-u1q?D=nhv`i>>%KkqqEKy9|4r!OkeNzgM|8*4|+$|6XCrq=jAk}
z0F1^bcE9UM5UG84{LoH>*^^prRtq1wXRkD_sU+cF*f+cF!6dNVlJ!*6_!#LaFkJJ1
zguZJ5?^<-p=-2lwW^d%<jQ_OW2d_x*v@BJKe?`XbpHP0IC*wnrOTGIr38B)hV^2=%
zpqX<pIjoNd_a$}x-#BE@o9o%_?i377PKye=!-KQ5RB_gJGENpt?vp{qWvi!D-f<p`
zoSl5UO2{yfYV;OybkXM9^HkNFhZ9T>jS~bNC@0LdD<SBi_2HUtn^y6#k+VlZD@q5`
zm+<dWWciy|o4G%Z$HR)I+bed;$?j#WzW;En?7g_(Rr{^agV(h?3nro|SiUVjY{yJG
za^<}n#`JgyKEV!P>r&A}G4GR4rNj1TTf?wyd~@ryQBpY-Vf^ujzBC5>*>{yJ40s4J
zNxM1br3=4vjfv+kGH}|w>%M}3hpt%<IJGoA+`0U7et<a>YI*xIvh8{3R7&^X_CXJv
z@CuiNyG)oWznEdQhX>cQ+wa`7r$I^Q3MJHv1?y|;9R6nV&;z@|>Jl36l~=t_uVmpr
z_IzqXBM-)}?roQ+(^3B~-^*CUMs`*Io2wdpED20EKM+fYA(y0WSICCv9INkJWcT&u
zP^^Yvh>k^jU(M6h;J~q!HRoUfA1T+B_h~sZP{ZPE+~dQ+phAyVjGO@Xy{Ph?RSY;?
zzp{2uDF<q!wVcPB1>o<bZgbXWV&YO+8he<7w*{R>c2xrGwOepu?hz(#3UZb1=<4IU
zi+sK293eJ6G`K1MfeCp_s%eI~KDOp~GoPmm(a&GFVUHOL9vRgx2Q2iVIeXkgNmYbF
zkDKl$`&clNkDnh%)5p!C6@QHPiy(bu`JwAJ3tM+Qu^AcS;B4W7#<(vc(4H!P+}Y29
ztwCA;jO!d2M0a>^+GvUCMc0b1tFuAvep1DC;^0u~j_{XNG7dC4>}fS-qw^YBEAlHF
zFZflChWcXI4kWIW3fRb?Zc>f)Wutk(Ebn%t7=KG1=X&$lcy1cW@N8w_JY78T^R*bR
zSDDQseKvOJ4Lr{j%hr#wQHrNXV2-8hs+HN`Zrm&&Br&mdc*PE{^%59u?IQ-au<(Q(
zp7ptv0pekmj`E`tRJ65)d^^v=L2KrZH7o`erIGGWxhTQzGz%wfXBOU0pYl9?I~`jd
zYt<{4OOWp8(62g;h5q=RL!XLhup111^763+XU&|`b&Huu^LljK=BplF2hc-HDkZoT
zwc<jhjVx#Hb{r-p=%R}B<NDI85`=kF{EFygU~2&V_!}t|{Dz)|(i1YCM;v)N62QP!
zy$h*3r%;e<Yb7|mQ-T#9n_Ft+7>KeM?-}YLBh%mfr?yb`{q}1Q#KzHaqjA^y$DJfx
zRJ&RE|6FUiRMYxEi;mP|e$hc=M7-^`PuhK7j1TGW-gIZu(CH$-Y;YbCfhGUR`Ro-V
z!z;?y#)O8ow;E03juOBR%Nm|KTa0(cx|L4hdgxYkUPT<y2Di?yZS`AA%<>=KFD%eS
zlIt$1N~|`<Df8X9k(T)L(zc8IfeNio4IJibV{~Kqt{g*4Y_E9zC7n*ifsOk^cmLDE
zn}<bSyBb88tj1B++D$?Jw7%vu?OMRSk%dk{BHW67ubtDNgIb%Xzwb6{;g0JRu?|&)
zn~G}g239(lpZR<+;;R-+$FdC9R0;9uU-1T;N-|E-rB1m7Z8WYcRZ8;`V*Gslu|#_^
zj)pqU`RbsJN4F1N-m4)*-={Ba3uK&ZN;)Ot<!d9%|H9Rs_XQZ*`o{HC0SWSQHH&vo
zCjd?P+TV5xz+H6jd-g68@_wYK6dWetsEdH?PZ1#X)?2RYQWAE|A)FbTMnt96@w=Pq
z`EbwE(=9P0VfXK|$j&7qD*pkW6wSx`ah+oajY!DclBv*TLxP*n<&~<7`0%ju-Vwzk
zA-zh$j-W_}wVAm?ip(dsidCA9tR=xr&Mh{zh757&Cn2?lhrv>2g(#AQ(y^F<hi7!4
z#{6j{FY{qyzU_Yd3KC{iR+s$^qrl_HHoZa*9v=KsY4@8!#v6gS_K+79Yq;|$VU|2h
zG91}G-<u4sw*8q5H(i`{aTT|acsOooGH%pFM)u(99v2Ti?DwwrGW*AckrKt@!&)6w
z=k@>U<kL_@C*5uD<zk=Nw!Q~#I#_-(dYMfX4PuAFkTtDb2s01X@b^+so;*6&!j6tx
ztfZS?-f_{i#N8#HOhxq8_Ja>Q=wR#^+Bi)%U%o>5%|HzmvrB`<CS?DEQ?4B~s(oBU
zm<B}o9MQ#jy||W#N=!ITeb6M7<Kc$Y57Xb)dWc9PD?UEOgze4WmMyZppbT4`<xHpH
z1WB?k)_{fhHQ8?T<vi?-<4`9D({OOcwgB%NEEMZB-)HaVA!<|{T;4^4{IgoS3?UoL
zTXi|TB|Hq7f6m|IK!-JzMPin+@lx$%!^#O+k9ZKXk@lDl@49U%y>mEd)KqL&Ud@M-
z?zFaZTn2u2-pj8{;UL89`1eZ}_*ggXhvA)E2F4z0z1jVPgEdh`ohOt92wAJjpsF+R
z-pYMujYuCmza=E~`3dkkuu9?<!UU5N>r)t@kL;k+aoHaPFdMn?Mx#~6dF$g_jZ^h8
zav=SF=o%sXE;RnU&Sycx^T4sp9DOu6o;f>OBLqLhq3of|V~akAeYumak0pm1RQ4|t
zfgh`6{_-^o(-jjm&jss)JNDGv<h}@FLHj9TGH(0zg`FN2>mzQ+Gn~V<gu=BQn~yAH
zV|U&Y<<UObzMim^ye?W|LWh>{ej6J~WlDL`2RYF6wO{>@D8@Y7(H9w^Y%C7U{iG$w
zfrE#G>Bs>wlr~QDHj7~6Kcx@J#XDu^X<av%(kjLV+zmkx8*d&(z8ieRg5KfrM3_mi
zsVZ*hp)(uC+vUPO&SGJWRqeg(y%J<*C$=b9u;KJBozZ5`g!?%`f5{aI6r=0}C&yXv
zpOa!56wiQ5V57sc_Yz#we%-xR=J`VYwr{H+&=Hzt_b&9eMAn->9q`!3!l9Fe8~*;L
zq3!8(-*QDM`Ym3*q)(Ogny;D-ugqu&Yjmn^`u}*%{BZU2OdK>jf3Ww1E@;e^7uWug
z;OFrVULEt8m~{2zbCw?!4YZZ-hgv0gAOF5><vj+54+Z@EBI~LBMS|+0+Y&6A%W5Vs
zWZ>}4_p83WCF9xU_^RY1vfuMLdh>MIyIRmW_+aoR3Co>7pMGsEf$``8rFTo|a9=r0
z`gl#onMV<U=apsqZ8dZy)X;F$)2^(ojsT^ReqD1J=ZB9hqOMp)gV%V0*#;TMEW&&2
zOMJxe>WE)>>XIH*S9?#Mvr`*R3tOMt%I<6G_FX^os&w&fo9q31pS56Fc|bCw+!Czp
z^RHXGsWAQ<;-V3y1*-SFjsZ7IIBZ`%tV)pinEs|GLlP~7EuQN2PQel}k8iBI;XuKt
z$)%MOnp((P-A6p1D?(}D155QB9ptD)jowkz0zudJjOr4ZZ<H*3tShgBic=<Lmu70A
zg(FC+>K4M=GbK1RfDC(aLV?p<E!5`6t=}FkM5g!Gxr)C?Xt#bL_1d8YdxatWSR)~F
z@;6JWVo6x_UOC~|EiDvX)io=s7eL?MTdFiq=G#lA_nngEf>O`h>(;>nwCp>3`C~s3
z(X%%xhsSAS-KBBWcMJjko?K9GUqXa?q+{O7Sp<v>%{h8s#&hNPzrRJPMA+SEjWf$9
z;AO-vJ<mu!I=<ad35X`5<CBA-?`k4kr_Gqm<MYu_{(Npl91;J`xv#!iiG(v|Cwu-I
z<e|mAucRZBh<R61{5+qNpxU)Z*j&s*XxCTGgeOFd1_c%V&6M?t(j1kby*!9kC~EDQ
zAY#F13)`qeI`|d;-?JLXyjP-Og=Hj+RXvmj22c?6!Tp_h77wN2%3euXB<y-O&5<s9
zhkpW6O9Y>}*f<vHucS)Gt0aD4U9gO!Gdd`SkGZIFHD5jFFd3elGR@3*J!EAsiQRvR
zixXF>o#LkHVDWVIdy5=s=wH;EckUDyYrio2le2YjixIji?=ub2&+N#P6S$C@_h!Mx
zWfa)Gd=ho@03COqCjU^2=i*OSz(4g-3O;pwi%1|bpb*UpvN*xTp=T%l{wbwmd;U~S
z)=dV!CUyJ1%;tht^6Z1#VO?zh?Vl&IV*;^x1-Q=z@w@*qlMQ;9BDRt9`oaXu_gzoT
zM=ox)+uV)Pp`qmY_QkWJSV$<?q*@?5htrV;H-rf^RDRCRav`x{N8n_Stl**Dx3=f4
zJROe`{K$?M*jU+~+E<alL(!3bqH8D}zgqGXtBg7D@vzwOu7!tpCBG+?{iI`tgY?{*
z3mjzBt=%(d&WGuyrHd}@WFY3=9cH?wK8|&j4ke`UaV@$mxv7JJoBbhIsJrzs^i=fX
zm(1sFjyid~T+2k?;gnwQd-|w2U7O4c5THnLg_UX*6AD(g^UR0zQR@~unf^t9&GjmB
zy@o7w9vCll)HFckh4U?oWIprinoG-*SQbXs9ho(iVu0@T9<_h_g*e&nv{A8xg+$%2
zkG@Pbz_g0PXIyuQaQW`93RRhJn|EB<I=fXLGk*S)4;U0-_UH17&0cI=`}E>?<Vk%v
z>`niz6kv%6&DLA_=`#P$h*8--UmrDh;t0K8Ezz4D`}Rp08$qjUhsJMn5Ewb#qi?Gi
z`Nux)e*c_}9`c_N9X1DP?N`l*>%`c2#PPuLS~dbs=^t4T#zwih+9dj13GT)0JYRoT
z#{cVTbB|Q9P*`-O=wXxuXEwi5KXjUnbN+jicaJh**g5lE)N=`9uUC9}zJrb4J;t8h
z223P2$Io<EkRqq)YqFmK8`A1Usr{=N*cZOQxZGHZmhh9`558l;<@O=xgg`p7jmrbq
zFP1_$Il6pZC<{uro>|{Ym%ZoPJ1bVLlH%Eo^oAI97AhN-j!luh{}=-@PkWgZhO<J2
zP3M?MZF2wO^^=NE#+|v|^QG`vb?Y>T&4mBkx%XK96wF>!ooqczilR*-C$}61*5wad
zR!)_9t6S^ZrjHUlzF3(UuE&7po4iMrGA|1+sL<b7AoKs>j%9AAWW6`+fnCliA`+`r
z{TSOMI3yJnwyDvv@$9VD;UoekSNo;Kk|ppj%$u7h>(8_0zx?&Ssts1T3#03a7;QvP
zoh4If5WGo_nEFEte`Y-TzIT@xpQHC;k(wSZJajn5U8{wK|IO?6R~O@}kDB-sMHlY0
z?@nLdX`-=6DdI=5CG^+*XMTuFMWg*c`}#0Vq&7!M|E{uxIC|Hfj?EM##w9n|S!tq_
zRqGqrC&GIFRo}c*br9UOZABGb6Or_o8N4VF68g1PFYO>>JuBpbFI5xU)LVil^h6lm
zb85Mbn2cMaq0{o_X~J)AMRahP5ZcLkNxFq3uv|_P>bGd(w2Hct<$56wXltl*Oh|a2
zSdr_OEnD|hfKlTw0sgyxVl1nQi1wp%?M=osae3byPF1P^S8h*=z2r?q)^0P?#_d{I
zv)m~pR3yMpszg&Vn+U0PkHI=wuH{~95qp2+<E-tPed50a7)QJAtJ$ZGwH=2T|Kj=R
z93|w3wh+*hYkFiGg#f1oW-C)feB8O7x$NFc0<89@_#Ket>^95EgQ;J6$eQZ1?_M(j
z)vUz-4ki)dpEp+Hktg%aK=C=V-?IFO6HV)OC&9BlaLLxKJgC`6u6WEMLh*W8vc(cI
z=&tRF!)zYb_hgwHx)Wi0<45=}3mp(bW^OwCm5X%hA18&IL<~PNrx(npz)HU(G~^x^
zTT2xe{?R7kBO@j0o`i~k6it&QGOjAMzFeOjL&BDj<YzICy0ADjSAT;a7bW@5$J3{g
zQGLmIzBEJ++xHbOG;rYJc52BS&vRt#y85Vb*IF7f+o~H47s&klDzhO{*0VmoNTQ^D
zr{T)`ys#!77js>=KeHdy!R;80`_0Gc&`fzBT*&3(l1BJ5Mll7?>Js%<n=|m9l(Cj1
z<>FD3`<QMR6-PSvEo^CGz-`T?uZebC)C!MXw{g&g-}SX``3IRO9_zWb*O!YcOKn=B
z`Fc=4R7&q;voQQ8S(%f<1=YE~s7#%PnO2vjdetl(QP1uB_>_x*l-14)kI`_vINSV}
zCmZb>6tBNi;-UD^gVI42I*JCGU3fD8R9ENDQ@7>GcpqX?9!rPQt8XLw6FImgZd$NA
zhlfpvk2Hm-GT^k0&N0`J@qFJyW}!SE6q<$c>o^8d?rR$rMC)UNwap|;A3kD^>>qYi
zVM1J&YC;^)2Yo!;!lhm2|J&)zT~SO}H3`EXhz$^*+y7BxlK{D2l*4>vTvHsfHdYQc
z!0F+-ELEA$pI^K=F2Re1s!1;5s5ArUPHY~(;VDFb3!zNDL6&FauZ+2w2FUux^A`*W
zVK(JQ;XfJAvwkYy439OyXM;6<QIR673+eK@zn_gG=?NYo>kP1M<<q-s)GTpl;Uv|w
z_u2TdnnC=eWPs`UL1UJuEx`?|o5lLUhK+<UYL%vsP`MuEXEZSi{2WSWX>jl~=)*+s
zOnvbF4k{#`6{ELN%=Bk+@GUISSk8w7rAMPpe02$4#j^sl=o~z1^X}h%osC;6Cc7{1
zlYslyzh}#I4(dN9W?t!LL5_K<oAyfP$$LK$YP;EZe>84VrwR+RW4pgmsZvZinl|op
znGGLtOyv%i?EIdV^D`W!xH<YL$iRb*u+eYdU-B4G6|TB6>3|ewrn<?ZX>44--qeu0
zT;|0blLTgp6q}18DCW5=B=0)=+<Y?)1NUYHB14MTU(JPWb6I$O*LBUnpf2QCW<JCJ
zN#T90+SuX-6U4A(x9Y`IaDx7EO@pPlf31maZ^DG;t+S>-&g)>%NL56#m4f!(#@^{X
z11Fk4jg4@~czk`JTvbOl-)PQAfI0)Mv*O8~wM2xiT$dLj>m6<3*LPh$NQYdrs&>pN
z0utspR(2)I@-A+xjoddHf-g}F3u3fk$83*$W+{RE`oqfvTWEOYd$f|1rG+_8uQs3k
zD8}j}lI`DIJ@|2E=A3KO#Il^izjq_Wh%1mB4N29-JQed8qKwaL4ZBCZb;Y>!Pdz>8
zBo&dytN_*%4ZJ+~M)2;IC4NMS7&FdOa57Tbr@Tu8M%ChKRU1pJHx0@jy|05-wTus~
zTn*GX#;5%05XpL>b#e9p8Okn|C-Ny8XozuD+p|{$Ppi-u1XD7WdDl7m>uR7bxg<`i
zD#C!atqbii2^~LLR;?9kph8VYV^Wq7r|<M}mJAS4OBlU)%vS@p$|ml%d?CVzDjzm`
z5%In2LUlx`2Ey`Ye!I~izyhMvAEj{ucAU}bt|V#V8AqeEz(;`66v~3?Yyvh;{BE6|
zpox;I?wOg>1o&la{BX(^0{)x5G-ZvJ7Vd8PJ$dpKKAy<U6eXDuP`o81u<)|%JXbT%
znLF^26m2wWpiY3+JmRVi8?@2JfBhv**6a0yj`T)MCE!B2m~u~(fVk?%*OD&tke{;4
zXQk}(d}Y@n$94jC_JzwGbmPIAUg~T<Pc|<>DZI3dhzzekkq>ov@HHIz+UZ8X=U~N`
zQF$bY%U<U^de22iZ*YM^9s!-fS9Dxtp5JS<eBYOIT-<D(?JFH6pgB(SW>3Bj%*Dri
z^LEPkyw2{p$c+de<KMl7<rLhRd%Ds?!bR#UiprVyM7$cYT+R7JMeo@+1zAKcJ~)Ne
zPm<+LakqtMu9hB*X}3+^j96gvhQSs8#z~m8sd{DZY#PG5rk*|2Wr4Q}HABRFGQ129
zFCVL=VSiKqzBx@6sO}S*K62FoX`N;|Gl-7wa})a3zp+4@Z;Y+8Aq4@}^#&pq1OEd6
z0RR6Kn0Yu<@BfF(UiKMdA7+@v*u$8yzm%nHm5NA~Qd!EDA}yArsJ@mWSxX{9QXxf%
zNNFQPwl;l2DoV8d=J)Tpu5+GqJ?DDv`+lEh?bA^y!)#FPoA{KMl5y)1Ws`od8eUqL
z@UNO-!yzC*g7lt@&q;~T>W--+b;qSozeJ5;zUq5}&Px?sx0^O!&7r~J09QxN$QbYT
zfBGx)OchUl1PaMc(2z2=Azv!M7<HkJ6XYNYYTOmXrO(jurATb~vMa{eMogdoFhfBH
zef04=E(0IK`wwZ)8H3OK#D`7MRBX5@*81xu1AQ}jH4#o6B<|FoH{er)TWI0aq+Lu9
z&R<cySj~Zg8ONP`N)1U#{@%%-m{?)M?6RhCad@e3+({XA80Kwj|FlH|Tkhm7=Hzfu
zHS@p2-RITecf`Z?biD=)BXpmYs+b^;b#1q_A`RVgyP|^rXkZ~{bQSTc395YZ6NAps
zVDaTc!c8U%#Yvl0j4e%(V8ZPf<fmgt!mo}+BNlGIbp21h&lC<6*)2YSbbLA$ySP@J
zg^|OZ*)d^em}x(__FoGfaRwFwp<gwy_xCgZ*UQZjA>HrzT9ko>@GU2Y3N*0f^5l3%
zkvaAd$^vX`8L+$dwrf#K1N`pWMuv<mU{$AT*tVO2K~26QY7P^DcFObfO%@1Sd$gJp
z&%oj;_rT0a25!dmtg*AS#Hec!?G^8O_m7vxN7NaJkGpQ^TWtyYCvLD)2m_z3UtQ|5
zrQ>XFr>-H<3h#cKO<lHQpyD3$mXJFQPKWI7k#<<&VpvM_Zr*$TSM_yP!%H2pbE=H~
zVk^{@&GlwB(&56kc<te-h7SQ}SRK!;aH1%Ra>SbskH-`18{DYa=6)%xcG3!R#uc@L
zGc=rRCEe9=qX3>_CuY7`q4pc=MA=>%HiUM?xi_dF<-zlttdCZh$>CR3nNo*vOVnTP
zs4@s?Dl4KMTcMTwE&ucub;wjp-i@a!A+b&2hW<q>eE2o`$FofhF+&WNOOgT<B8JFg
zyR7h_a=7@Nh8iwbzmeV~Ess|@O9i#ntngG%(kSvI6(XL>Zi{WQ`0-|?bNh2kSOw~+
zt@upAfNi8uSP==+H*DJ6qb+&sC5Fmwpx~&Jg1~s044P}ND;|-v#OB1XKYdZEsGR6X
zx-dw@-6)#l?P?2r+`9T%>_!!=Y>UeBG$bNFK~68&)&e`y9#8jJl93ai<-f9qfZ?ka
zJw1KqaGP6rEMcMy52eH{=9>u6C@K|@-f0fi&M&Y2*(f1njc_KPA^}Gt6HltnnPLCz
zGgE@UB4RT>sjm7fjhvCp^x=3jY;>^=b~~ql6<qt}_5Y;NN-%5_momfMja}2HM&)r|
zST@;2nSg5tH}!iKnqrUdgU}Tg@>o|!?CDxhKz^MGeT%*+9(o83AFGywMC8c!q5=Y3
zuDP3@y>9}vMf}M#kwg7<L4Vz)MD(|3=^pVgL9V0n2LAzBT#-5Vi4;x5&SIm6q;FjG
zZd4blJSB^)y5t59pA3}i-uxw|axrm?de6{J7VEB736&PeVCDCt0>|~ZSpK5Yr_@Lm
zV_;R5IFWEK*<jkDmjjCO<ug@GS$O_>WqnCh7Hht`e#kt`!Gqysiz!`M&{Q@swTEO;
zcyaFalokh1t`Xb$9AvT6_UzbXgB&)k{kK>&YK(sJ{`FbWvN-lV>_%a^JoG33eNj4Z
zjJ2$U1?L7?v|bJ@mMB-ieQ!~T=FP?kZ4sO8k&uI)gy_S6^@?b@X-oT~Vhs9{-4A>B
z$wBQ&_j|p5CGf9W#kQYfgOu^|!k^D_NIq=7+D?Fs#@eP~`4%?PNPZ~`2jp?i)agm5
zl?sxor6OnZ*{CB9ecB_dfbH%JQj*E4NN_sd>3x)q?$rOjf4{GQ9qqXuIiVDs<hn$B
z4Cirs+XE|df+9>VNk$%{P+{`dI#n%*jfHdPf;`qKq0Ks_DzT3Wvt+eb7k9Jqv+(%>
zpRO`?Dm4Wcrl~>0xOisq02`;a)q6WDlEL&>T6)o$$N9dDTTK~k>@mB%)lx<Uv#H(x
zlNO_)Mm+h#zB)E;sMr54R#e4}4I-_2T{PHAy&OINk&Q-4ZK{YY1%Ho)lc$c+A))HM
zCXHc?jCC}^_Dd9m?=4OGV9r3IGfV73xG~%q24}V!QK5Lie?DZ2fw#<N{P)lpeo^a-
z+dHUO|D@P1C7lV~hl1&zdK_Hm$R?P2sX=z>L%!b{8hGl^>sfM<gUV9h^IBij@IGkT
z%I%s4dKLGKb9nq$?atZxDqbCDDdqxFR2D)Q6`NS)T!efzuiGq11D*Cet0;zrx4VWb
z%`8n2Q~RJkJBx;mQ`fdt*0az*?iT!f&;)<-Qt7)%bPSys^-vvP;XvO&%=BSXR8*Y3
zk(o>f+s@|m_C6MfXFsmt(9Lkm<=EB!FLV?s-@Tu9odv&e_i2GAW{`GIuohawKydhl
z*t7r^!lJny!TZb+Qjj*Ql*Yh`yFbs`{n9|R@Jy_`yag%;jt;xDG0><^A1@8kK+E}6
zyGw3ZVA=YMSLyE<*t_yjL|Z)*o{v**ud(5A-lDNA<ue0@v0`)gJ~H4pR4%ov!xAx%
za&`^9Vc_5S$K!Q>=@1Qj|1H|o3a?v>&&)P6AXj$!V)j28GK3HP3d*%YPkS(*K{5jl
z(gWG=zNo{E=yUiQkHg9X2RB6VzTY07)BnN;)Ubbt$J!Dpz+!Ekp~`DI&-WA#{Vo+x
zbmx|asR4RIjZda|9t;}gE33Rnfw*h?*~ctEAf`4}_#+KHqPz4nl~vJ3&2J+yf%Keo
zo#&fr=zFq`%oQgi`tU9Gup&T`B~K4GsUt4Nx=nzrgsMw_y~YFq>Ee!rK4l*NTe3wI
zT@`Q|vsUvw?-UF~8E)UF2A}fruo)h=p7}0MF-x(+n3t-k{39wd`jyoJ%w-`x9Lzdk
zY=uJmUpxGH=jV)iUG2~BGI-Fua3X8K63ZnwX(vTdpzZBn_iC7k#<fFVcSKmihG<f|
z^s*{SSdUsTOTd@@+*dh*miXaU@2S621wJBs%yW$h_+Yo7cmIq9ucH(t^4Mg2x$JlD
zL7_BuJ9SZPR4gE8XT9nHNf}GaA3LuykOtR}o$pa%j(hyk{WnCEurT*^(f2<o{0Qm)
zDW_wOEUz+!ACijj7L0nZtyK!UoL|g_+%SVg@K*6!Z3UduWvb^jNa0FST#=5c8B$C%
z{xti@BRukyXVOzCoR`_wEYxa>w_5_UGRx#psGL*r^sf}Q5kwR+9ZfMdtN0~sxg4xM
zY@6}7lZH;+n#Vr<CYTF7B(Noc=S8QF7xx!SL#@Sj&BzWD2r&2C8%WEdM~1LDMvj1w
z*)r1y=eclAPNdY<k}x@U!->W7MemOm%iL33?AR8<NQ)pLtjM6_5Qhla$oj5qIu|aD
z8sc6yB#<_f#;?2~!aI4PxVx1DH}O-es<cROZ1$CtE#!GtOC&GdpMwbJ1bYPy67Gat
z`0lZr1j~1S85W`(&=`;Jt}r1%k~k`^$K$;NBTQba&KT!*No`8^<~?V7kH>DV9M;}@
zL2lr6Y3B!v?16J6>=jro@!MD)e}qb;Tqwr4!=28#_Kt-7R)fLkwhH+1$X#ju2pfO-
zKUTKe$RZ@3KX#1g+nD#h)kc@taQSyv;#r+69*i9=l{l+}tu5j%5ut1-UT(=hZXpM^
zt@}nadz7L1>aW15RczepKALm+r5p}A9!eUas$fIF`5G|_8%&o^{-d$-D5<&BP#CL<
ztG@z=jtjEUlaOyUZl-{P&te6i@1tN$^{43hIV0Q=-6FMmnIc4qCnUBTP(k@QbK%Xj
z5e}wUkaH#!vCko0vu%zF_FughqTh^QekAdcWuFq_>^BF`-%*3$tB3uKOWBw_JGy6I
zuQECUPh7i`q>dVC<3ELDHp0x3Egi?nFl3mGC2XMK+fJb<S35RTmTbF~_DcolCft?<
zQRv{SdDOG(5F0-tHCIkZQE=yztAODo9rW`DC%u~4$Vl{bC6`g~&G}<4t}`(3WY?-x
zf-%JZr^oMZOU3@(31(TLJOI=*EUegTjB7g@yPe-rp-&6&d99{_Y>%P6)^Chal!2ba
zL^TwgJ0lX@p#ir~yR7#6aB$Fjot8aK9XC4f`fu@I;a;IwFXs~n^upfVS6bB3c$hEu
zVlNBpl$W#8;<<R*(Jperlh>a+_>A<}nmGQy&l{*T6ENrX`Ld^Y{4r7=Bu8mtC&eXK
z<(Ua8%<hHm+DC_VZ<X<QmL}@f#Kb!sHN}&@Tff7;(eaGmJmqk@CZ5draewj7omYzM
zdL2IoEH{(~-}BeRx`*>c3|^<L?&z7&xW|C`rT5FiBsFm`#x7?6RdcxHRro6}XJVNM
zy&x`~g;Y+0um4sHL>paI6ao`VMlP2#r+EEuzW<h&kR@yn`iQLZVL~n6-(!-hfvWX>
z|K1l_qBdS_$K{<&bhf-7%rs`AYR`p{hk91Xc)00#(k3SUxyXDV=rOQgqwS|zxfK%Q
zk45!rF+nzHr*Ng|h?(7*`$rhK^ssoG_=$n?$>%+X-m1fFOq+B|57=fm`=3ub12r*Y
z+e<6d@UL~&;E5x!$@1IeR^D8}*Yv_LdM_2)f73o|c>yMihl$!nbeynMEAp_UppUX~
zm!Kc;l^VUuL5dCmi{8^5h6?V+{rNTI38e1XyDv73hA-zkg5#%^@F-<`bdLjY^krp!
zW4k)`EhYuj4JzPy5~ZO;AGkU=zg&o@j?V`Je+kXWVM+YJt5gYImJ-5e*KSb*Q%67g
zs)a0q_*F_1x~#D7hyYzcqQCb3h>KJZcOILTYLG#L(url|!Bz;q{%)M`k%Gv*R5{Tg
zBH|k&bn5x6&>LZsdu{~<@yP|=^3DXP*-u1PrCVY!R8rS!i7GZ2*jASLN#kGCG;zD4
zC9=-0R{UK~M&8o}?ZC@Ys2AIE{9u6vHtI~2?cJ#iis6oH2T4*`a-{oHkg5f$Vto&)
zvX!7Yv0ONEt0XE;JFnbZU=H#-ldYfSd0n?iyxTG)f%ruC-Yd%HD4&VGzmBK?{?8-C
zkU|OMBy~Ujkz)qB!ho4QT^_pgN2)g#NkE(MHHoHZhLb9Jufo^LK`Ef<aOa2w#1#Dn
zhH^~Nr>NPknjwqC?lq-VYbD`5vc<fdY>Hb4Vx7IGNoZC3*>U=dBz{dk6PLJTf{&Mk
zg@ye{_$t@%>Y=w3u6^HMAE9LeD!*p=<0%<bHJ0*qy^=z(-;EdCIxae7E*`Z@lR*S~
zuy{#;Gy-O}-mACcqUO^^zeNWbEL|r;2^S$iZu4-Z?H~sNFG_y;E6d<b4spe{1_Deh
ztqt`fI5@hd^63%*8QiyiX6tsCh>r8?PjyOgkndXG;J8!<u|#`q{`I{3SijHtRvSa8
zEQbFPQ3jhQE;y`VlMtwW<D9d*F$(0^>m<x%aQETSy_%Y`0J)_3KYn9)*3S7{-!FsZ
z#b-7(>&c<!NYdrZS~kL8%vX9nkU;>eXs>~tJT!lNJan7K^S9q<%iCEb%;x7FyShgK
zZ=*eI9_aD9{X(H$`2`ZZ-#N*<lqkaL+`t{<c_R#GZ{FI=TW__-8#9eBO1R-(qM!D_
z2wj)`W~4f0A$n<Ag5gNU&9b*5+Y5}asoG*zCt42szuf)7SEquHZwr4p#2P`GJy1Dk
zDvwC|(QA1M6a>tA41NwY!abK)!s=2A_)|;XA3aJz+3x9w|GbT0eP`Rt?ehxQb2;bC
zz6vV7Y&_e-@iD@L;Qg<*Ulh?A6BbYxtA=0MXI0&Ujd1;nr=G#068uu1QWZAy`2T@L
zrY0I;WaC#2Ul}sI95g%CjA)pkL`}Gr8{yFo8&a2r3XVxHT>H!8hT34H`t=bb$jNsN
zsP0q6u=RG~uo*g}{K;kgR5rXDO9s8XD6qPIHTuy*1`O7+*1JctQF^a9-IkvUuOlRd
z*?cD0gosC(eQb#6?r;#TqN4cRqO5y>1{`Hp=igs#jE>vf(<^xA`dH?}w%;@sI5L+n
zJnk}v&d+84TNF`;X-`!7>8C8*akehC_u{}Ix99$jTk6mvMo`1HYvROK3-g`7IdHj8
zIkdu?hL8bz=BFV|EPVa>`h6L1K21NMHMWEfUFZ4x>y5N<eMr$mV7m!2Mdj(OIds&H
z{ak4spoQ<-Q&%6LoAUbMyS@O6f$QZ|rPq74@SiFvYyW3cm~D$xzkh{+7qskp>5W>5
zx+gzzy}=BoY5okF922xz>F#kMEeP{fDMu%nW6jdQ{;+T+j#PCgW}noAqj54GIa|PF
zWLp>e78A1_#;<?9Vd3ZH<i%t$OJoS1+~+sO#OHob*X@!lTuR>PT+n2R<l+LB-&ZDL
zGC18gWi-$_ND$ZewZedR!x@taCQ9zC<=XsYz{;^SwQt%A<@@)9XSXn+ndLE@)lA3O
zkhj-11K<zyM8R+z6Z<c`RFT|AgRv+nVjqv&RDY*nMFta7ZB5%xkk#?}_5PA$M|m9H
zTTd3g!9Y@AqR4a$73WR}=KEv=lP`4-&G7bzH4$0zERce>2YWJ%F96A{-b&f0>4+7|
z?bYL|fG>G)DmxdD7dYOgGEPH1Vd`RFqY~-^gMRv)1XSJ`r4KM^@U6%f{IOdBcl&dO
z^1=Yh&>AQG9qO=|j?PhVkwe;3@t28CKrq4B^?05d_Ph<5y1RpfC2o<a-W0&&&etNv
z=TwAbP3}5ZOT-iM=k~XQRxs31F`X8qB5Yil6=_Yt_VkhB?}1jhZJkZ8x1hjzE=ed!
zP#WvyzN+GjCAh&2S<T;7K=a{qXjvi!lJt(ASD}`;d-B!OH%G`g`}M=vPG1R_CMgEz
zeX>C5h1WzgMP(#;p8Hus5r^Jz_(t_@7LeC*^oZ+Hg!%LyiBwZDv`Mv!Kj}9|+&4kl
z&U6JF50E9Bmx!XJl|9ksWDW;&(xuFBc^pX=tNy-4lsE5o8T@N8Lyh~U;mII55cP%+
zg>4i?8t0a*1J?}49vQa!9FawC=+oriCq&Vz;kJ8iwJ9#Yv=`N?AYpuaE464=6!SgV
z_IaA7_&`}EW;rJV-Ts*m`l(|0NbjC3DK)`xioVM_HyH>t2B_M&iz9V=9-)_M0<U{}
z&d)q2;+}`j56jgONVBkwJ9w1~<uhkYPVXcl&$V}9rH>@Eb}yfqG~hx_`_kTIA`!Z_
zd2Z6qQs|W5<R8++!NWxZJ&OSXT;n4<ul$liL7AA)8W#>sj&@Hhy-7gr(r+98YmkQB
z&+y|dybcVCTgS&OA%Oq;1;sNd1c+P3u2MZ@3|hQ-iDMP-`we+V=kh!*yvanqQqdTy
zlIzUs9}y6^RX0O@iwq`frHFT$*x22aS+@Ky0Rf*?Z-#i0;3v_%SQx;@i*+;m-q;X%
zJ%0JnKnQP+7}UPkAkW5|CpAyM77`(~XGLjOh8(g2YkT%SH3E&CmH%6U=aJGUD{DIC
zu|Y&6((<$sG(8>D`_g3~AEGWhC#4A1_~R$%U5!xoM{}hwZ+>y)TR%A(tc0uQ{ly3r
zBLq~2tUmgJ=a&cdF-5O<y-?pmwf<p<t^Zay>7>b`HCU*U?Wuy7PVJkYzBELZIPJ$8
zKRMJg!{=P4RgpW96T0`FA-W@&6?bgqL5$0KKz~Sqo5N$~w;P7gaqZ*VV4;9qYt7Z-
z#Z)lGG-b#)4e>Sb-;*|bMOc_PM`a|bp~1H*=vlKN#?LQy7WgYc`OU@`=R?)8(eroa
z%%CC0&XzTso>7JgSA19bRvHeT*k$U=Z-j2&=liN(kU<P&Zya->!|qt3H@}$?I<9@U
zdq7o1tecPI7#I-Ee-~JhV1!VreR7x;1;b0DPd?IT!tA5_ZPJht;>}e*FU(TV818k`
zREgKOeo~iS*s#&6TPeV;q+*GpxR}Xr4X8|C{btFVFZR`*Da#F1!+rhdaSlBGubg*b
z?RGZCsfQavRx{P%p1!g1K&mE&_eN=oPw{-wNzagerw+-jE7T)6TBzd~g!|=k;PjH>
z7n4te{p?+CX^R#LR&au;o?NUd-2A&?9UZPVUI$V%v@s)kT|R_i0_(Hi4t6clG3+X=
z^mL~--j2;gJ@{jSDdBsx&};^}1af0<M`=UVcTJ?=uqpIsj|pw!@$<fY+_Qb|+E{5v
zeHYYhhM;Xt?V1;vC_R$05W=sGD~}%>zJAFZesQ;Q?h9(*Z1zK^{1`2mD-hxg5-f1#
zykndBdJRleWfSf<YNDg~hlZ@XB@U+APpZdjU^<+0`Tspg=sK$PKe82;h(7kqJ)?oN
zG^5rtH#JaAZ9Yi)|NrxUf~KR7YoH?jTcFNfCMp<Ps{4(3eAZ0*y~RrdFGfobGl&et
zbtYy>Mg!kB%s;CqXkd+kN2DunpQ1$$VA)mR*8Gr3|5cv9OX8+PmDG{lcj|%iQyz!!
zFKcgOF_H6|TUeP%1u1Fa9Q_?&+OJ${mdd~<EqWb6mV)zdYnoy{0Xfvg#<)>Bl%K4L
z-?W;H7cSJ%kvG7aJnMcl6*{DU>@3-ES`p1n*L;JX0KN7eHO^~ksQVp2uMw2Tp?vPS
zh$`Om*;~X*_w#zd@}-Z&Z4z#*uBi!21pWm)KB}J0^Fn)8KdXWWwc)?5pVsrPdu*`|
zs-q&Mc{o*fTpG2{P6heO16uY1*I)Kikf@!YC$(7$RJ(HB=o%|bH3kT`|5U}T>Y%uJ
zGLL(&KJ=z*Sz*iFn{ke7RiN+E#&=dw3~JT7Z#)VtG2#42E2B;sf&Lj$ecsE#y%_qd
zo9A(ZfTzv!y#A+qN!XvJECYMVcxFMg1uRc<c4l=cAdhpxNyb_P#hGmsqqpX0=$lGf
z9wQG`T#f6g6-NKKMn<i(Ib^m6Iz6|MLzC(>u^?I)QMY!JWpA5dv(lr*+gh@a=#O;$
zepnc}HxIC67-q2lYTruMBVpmD+hxOh!uXr7KjD~ZinJHebKhNLaJuEXT`^k(i!u33
zQ(;qBw3fd9l0t;nl3<}zLn4T8y1LTlkO}%~{x&7PA>j0?u78Y*Ww=8O=WCkdBF?bo
z_L5BmaEe@x7F=46@tk7?pToG293_V2^7c1N!{X&alPLVkua3!l<-m4hW@PMfX$&j~
zb&CELgYVM%jG%oScn2@kzO<Ewzia$;Zx0DbkVD;>e~mHb*U{UpBn|7D-gebKNnQ_^
zOB_9Ej0v_-bFqjtGH-fX3*MH(_^JQK>&U$G{`gpPnW!|HPV8S*o+XWy!%hT&TWlQJ
z`gr+DnlyyQ{1%)N2~a;!k#}`H8|M^bh?DE3L0s!V-jP7W$DMQc7iNv{LT|Rk?5s5Y
z7N=*X@VHKV(s_Dio)MaVyv=|2NgDEsdq#q5NH~7X%H*Ac5h@NaMX&Mp!S%DEQrml3
z1lqdaSiOYT&)s5$2YU%nT$Y-!PFo&p|Lzx=xNC?|Rn2s(T|`t_YCUgDQovWMux^`p
zLsa(@t(WrrB3n1@+w@%#LyGf}^Uj8dkS=ZM>6F39DN5q41Ip+&{}Fpx-4O3tA+FEQ
zk&rrJ-8e;1!IatBP+@*UOnnTzB6Cm{9*w8=Zf#M8QZ9Gn$0-A(_VtZdN66v(@8pl`
zS}B-P+xDFP#sKYa%>I-fk%x+MXXiAJyXMutuGiigAUn>tVzfX3Zj<W=9~G$~?caC(
z#BT=Jkl^Si)1!zfYF2T7p*k+6?h3D#G(^`3jh8vfxF^{>n{kN-?VoqA+nXCAc&|>K
z#Xd4hf>mSqE9lU!eLTGNfFTUb$}hN#t6*((O#Q`L239RB8vp4q1Zj|-P^U}5$=Y`Z
z)-*HmTGP&6fn|h&3C@)VJYW3x^JKYBy9NesHijR`H-hCMu5w%x6|0+{^*nE8!A_(~
zu!+vbS(_E_O-`%fK(9BSSd}LH^Mb_WTG?QZIF3$jRY!&4T?4{#Eo_iH8s`;ZjPpCs
zoY&K(VL7`kJj+%asg^n1K{f}aalI?pzi5yq4<DL)qYZO8lM|+*T<p4VKJ9r69p*(Y
z6%m_taOmR>&(JSiychc6m3V}Kyy9!RS%o_AdH36(=#2>q#_qP9)L~+hlqYqfMh7b%
zTzRiMVhV31$HISIOt@yh@;!D+2a(x}H!DWW@UX08>33HR$T)5AUazTx?FvHoL`Kcw
z|H$RWl@<*&u8u3uPtnHf#hv^&URmIEzesTvkp=BlLS3F!S~z`R>Ce}lmiRva00960
z43~F2)o&EX?Y%eI`<mCaGrpfoDygK9tfC<!mCA~uA|s>qlL#r5k(DH=do^fK5sApA
zNVcT#yZ@fo^LoznI_Ei`^Le{0+P+j?PeSGE*VhNHY2keP%I8;i2$b<%QtEIefnAHb
z<BuZ=r1ofTPE+8SO7Ek{btJsr>&&10RRgcIKi*?Y0TNG*RaXg+P!e6n?_j5n+Tzex
zXFdTTx7dD@t2Gf{AeXS_nku~GJPs1vRQxiu8qKoQ#IwrRqrSb$VEHFGkgZF_@UMKO
z)Y}?}zn87$p{|7TEgva2L4{9GQ-%MuIy8CtXuZGW(X&bI#CIDiHW_5(>1e1U=O)MC
ziAQT7`>eM2f-w~mH{{n_ZBm0IlZBqkLn%~lXA|R+p`vE_ww&>9Rn#BcJ$`pq943~7
zABATCw+op8r2#5<*S<BeH$oI2!ge&CrUBu0S>jShm61v-)Sh(^hVXE32<aT4!**ch
zVyF_jyVQ>5whO>Z%b=!(3W#L<Y;HZJh|IV-<2Qx8c)sMZsyj!Z!%{p=PeuV8`)s}+
z=jR5qw<gCYPXYsSxMs9b4%RU?Zalv^z;$0-K!9$IC%%89H7~5eyG<{BwtBFGBmPg$
zyn;1y=BrP}{E)``$osj_V}r(GydL$G6?Ar%YrXT8!UZQUt){)K@Qr@ky1m;HcjvR_
z8vjV(`?l**o2OXt+d;O|#=;USotepJ%Ea-oC8lreH48#`?|vE2vVh&Ui#~_XiJ?$Q
z;aJxo3n-#-_6sX(G2czOc0ODbm18?MN0_l<zw9#4;J&pGpgnZmn=FC{y*0vKG*)zO
zJC!E(-W=^D)^?{lVFX>(JGU)_4QK4nXMJ944$GT^wZS~X_^r}kzJ4=1j=XWcx3Aa?
z`*cJ~tBwnyKIr194fY&xJN!d%Qo#(YA(L7%bAoW4sS9yCz=<vHRR+1&OtIVNL_jS?
z5QnSxyxx103&W?~>#vKOVh7J$rP3_{xV~U_QuxCS-Ov}o92q7c#cSl)*$RN<lPfV7
z#0wvRd|@s*6XcD2?_4h|fHO~4w~YSd!=IQ(QLpbBqob&!Cz4kHCpYDHo+}i9;_+#T
z6Q;(Xe#)#1Aq!ytyY*$m=0Y&$eYKt1WQ5{7XHKr35<s!D&$kPD!Vo{kA$jnC5zfc`
z++?&MfIACX?@|p#kTUvDLzlw{dlH;S4_p<*;%6VTetS_EK8ecuR&0oiXI8Z(^@I>B
zbm&NWh#1!1qU`>>(-5jUEE41bA+)>gyHH&!4i@oOZ6|pQkshe6#6cEDqrDPe$f^V;
zyB?mkdr1Mmw^!1W_reI{e!b)CekmLhDeSI|qoCg)*eEep1k$~{*A@q)!8UuIE!2?$
zkAFX8YBw_aTVhjF7PbZl=*KhElqm>h9(YoqDu!+i&*+D$a<C7zbx2(?z{~7M4u#_4
z7zvTCh!~T{+3}jK7lsWW5&kJkK~@4k1s$HB-=_$TuqI=%F9xs=Te{(DCW#hmzzEkK
zC1^KpGBoTkK-}l@=5qm3;IaMWP4!boX+i83fguCbdKNI(R!YN6Bk=5w2o-eaoKo*w
zHNal`(R&|+)*!*o*x}a|Rrq`m>zdQ1pzz#ay~{aSAZB^gq(%+<iA?WX{uEFJo_Iy`
z$zvqf->;%i9TuDeFKufnn7sS_Dbqa#=q6maOXAgpN`_~tl7b;a&!+0n6)8gDv(LpG
zLlTk+aj$?(LoDrJ`JR-ZgptD24ipzHES$<27uPak%xzgmaF8+*Q-TMT1GEt+T9@*!
z#R#`9#QMuQtKej;z}*jlI;iehrPik#<G($pvv{mj;mdh`;KO!Z><DaBxOTt<jS+8H
zbX3*wo{6VYK~fJ>1z!S8x0@pSc#!QMc6Bt>1iw5`t_Rvn^3y^mGc<>drXT;Nj>Z>x
z%pMZ@ko{~|&*W<kuHR=wtqL_T&JzFGimH!0{@MfUPOrs*(qpM5KAPA>m`4X|>Ejo3
zYf0#B3p6*0)-bV>@acJhFGsT;ioUe0-g##UVLLgWv;-2Yw=b0(R@XzPVen?sFDtxt
z3>{|qMS|e5w^{=xy6E!LXX|4laHa57@pXMIC{C(yRWj><U#R}FBO8#iXv-0>Negyk
z*UP+9v|y!0SZ$2}9v7}Iq*`i$JzYL==b$F;-?z#-@(mD6oIB~xu7wnrqqCuc8VD~`
z&E9E1g}R15vA=+XXSpvL2?aImYT9mg;0P5Dp7=dVktbnQW3TF*q6+?IHXdrfPQ}*A
zV`;s|G{HA&9-FVMgoG0|epTgET-3{8^JCP<ZfTZC@s$T#R9$y_B^6IHX?F83)bV0r
z+b!L48JwMQiY?8jV(oOZL-%VnaLB)Cl7=J<8*j*KouT4Av+(bGPgUV@C$7s|K@1bi
z>F1+&Fy3i+Ev5gi3Ou*III80+48sAY@g*rnyj*5e^95xr9Gd?e{*fOq5(IAiYy%?x
z`#H4Xs1jOYTIc49xB-r+yWxqzVBS&7{9THet8XdEH0FT&SYdsN8PHRXB!$cJ2r;@)
z*RY=zE>V(fm5l_FG?(vNC&*$o)n{%-ml+$Kk}k(d6Yw;&z7d%rgO7d2aetOqh;{tw
zDgy_tp|?LYJmRGk78)L;hh6$d1XXWIxc<lrm+SI7-U>^i;4IUwTT4rX#Z;k~6sHyT
zebm3r9V?D8Bj34b=_NwskWE3Ln<dl}rOz{ois9n7%6|!Me~5;iChp!P7FZ#lJn_C!
zgrN(@i^gJ0#7md9(HK?>1lsUi=gt+z^CoJ)_{$}t<}vZp%zG{BZeBgnn;`@-=4Gp{
z*1yEg&K&8cI&;MQcrClvR}fFclY>ks%f#$t+d6**bA*1n(B%1vA6<#kA4@*35T8Xa
zr0U0;LC5{g!RFI^SeW+Od(VRj?D_|O8BUu*O(s+B**;zv^%D#A2bgi5dpIa=k12*d
zTQV(A^Dz8I^^ILgEMS+Bb|JT!pzFfV-$$Fc!L(;Ap7#|iLbh7uVzUYQMvz!#&ka_;
zun7wZcHC6YdH3SAF@C;{#ML=2q)voy{};^xricWOxAw;HRUSR`<1H6L&zyWX`;QZb
zO=tQ1KNunG{_^1#Mto9lxX%6xH}WfnXCCh|LbbKwXx$7K%=WscU$NuG_r}%4p6`Z;
z(dQoxqH=?+io*3qgddJ^?(hCa8Ny+-F=6f@H`GH_p6aX!AcHH)-A=*~(zmSjY8-iB
zKim39HBJcArnC=pRTS*}<6jymz>5t<?*C0?3&YRDS8LlY3bcN|OcR{p#d@w>>NKNo
z(~Cb37qL>XbY5uB#1bDWT#MLBImN*FhA(=5l>uBWmQ^m31hDkVU+0mRI9_MfanA)B
zU?Oq&Me`{^{1;l^c;lS}Bu=LFe$_HS=bJ6cEzykr*5&2?*e-=B&mWdG(`3k9=6s&N
zO&FQ-_uui&OT+7qox5c{8O-zqzC<$-xF;tYJ3m;1`sTJ3<LhL&S&mIunTVoshp<Ci
zsvPPJxjECL$x!%UNsZYghK0OhVW$KIC|~uda1J7)*Zz(ZPpCMGtUC7!eN=>{$C_hh
zeq`wE%GZv6EP;%wRaLfeC7k^IVP)b78F%JgcAOTM0w2}QAwf(9*_}(=F^OatKiv`H
zlq3xi(uVUz4yx$SS#LRCNrumg?SG<DYd{+Ox@kC74eQSrr!4*=BW&qY+39Dpu;lw@
z&D5=q5{eLIBVhpNl(#ycqvWBQEpq3Vz9y<A<b(<f3?LJF;rlmDMO;}4i@P7s(6jCD
zO50Q@ut@wyPM1@HQ}~$>)vsDG4ID_@^MryOKf~^^tWm~O;w*_@LkF9$zthM$WQeQ!
z&x}kIRPanhDtOda7rNz8Ic8ymy{D!hU)4~>So$p%rg%N@Tv(H!rDhC&*Rv;nkk!!m
zrhMO}czvuGX(vF-1OfkLhB}(6gM+pyibI!-eD3f|I`*dE;o&p0GSPq@kIj!~kz|Pb
zoFwa?HpAe6dt8d9CVbV>_ln;o<2uI|3+>nD@UrDOcY})r%P@&X&HH5N?N~W>S>6I`
ztb!UNKa#-RvC)f#QD32Jimy(bv_$-tAGeevwNS2{lg4F6M&T8a#p2Ian7Hxj%EwhL
zZ2qy>^*%%&JT28J#u@~6T*hNpPi>gS4tdqd>H*He8r=rKRk5jx@MLXpKa84teq0B*
z5%46n9th&e*CUd&(ZJ>I$sf<yR}y<gZ&*{IBHc4=zEc~)a*2xmyEVbVKX{<JfQrb^
z<#TstwD5%D_MH$>XZVoVLl@?#;96W$8{w@5&ov97_7y7N=HOlXn`DD65p4xT4hem}
z%Koa3N|1UN7r10+gXww>vk?Xd-J;QW1(xK%eQ+kc#NGx*JH93PmujGGakI|8%hE6?
z>>Xk^wZZTAJUdS$t7A`<R%r}Fcbh8RVs8rBU`PL9F;*8fBuGpAu4)rTwyO5uuudxe
zbjUqh5mtrs$gtKLU4F<kTz-{%g^K%kgMI$IR>q}MV-qV^IKj_a{9V$Hin^W0OD9e%
zp+7B+ueXPVvCn)&ZcYFfNuq<2mW(-Z$ty_wvrKr0+XNP*1AY@O`gB%#?7eyVN6GWw
z#I3XoR~g>|I}GC*?iH><!>RMFGm|sKpSNdZ=~)C6LtB@<4@=`z71I{K(qF{UQq!w~
zpRG~UZ}aM-n<S)qwxsE2{~!+4i*2+Pw#GnHhe6swaXgs{XVP{XAw(PJy&rG2f@p?{
z@M^9o)Psk1pUW5`4u;Oh$D~=JJgiwhc~uw>ehgOXN)8bl;~&dew^<;>_003Ocp<Pb
z@$z5F9wJs{2R3-hS-{ln>ZRxY0?=mfTP~g-CQ@o0A|wLWBH+!N_veK8upHw(Rk=7y
zh(BWrKmXJmXN{uALsqyUPAW1ue|C%rKFOn3C1#E@uO1Z^>2pCjLixy2<OEUnD(U&<
zBWB=t9PyOM<3MECUmo`TQ^W?@eNo~qrs!VGUcKVL4$q@~LMh}KVmcymOx45`GeOn^
z(hPoE<J7&BEi*^V2M5zia!sJPk4fm2Eh}c%EAFdPSRfj$m7ZMVH$l3nOWb?{3%KOC
zUDT}?3G1sV6Q55TL-y+}Th}FKd<!LI#h+Lr66`pV+!h%7<(j7H=oMy+?Huf-H~b@Z
zAKn%wa?}X-U0=Lrab*Undt#MtxJr~nnAI&$8ls{>t#gkBGd_<d%@+1DVf30rpX4z^
zeBtV7khEpS*1qqY=S*1OTVS_s?-B*l;w$Xgfy|Ip*L6?IW5pzeuVa+K7xfPuYo0w|
zhBniXhl(OQdS0B+eIQOj>xjUOVi^_$87`>(dBlO9(fYE^LIVg@)nt$4vS4Y2TW2nS
z3oXtP7GX99czPvT$(~UMx2-Bprj|T#N_oAuyqAm<_iH^@+1L=gC#6ePpAQCW?u=K)
zlF_F3HZg9P4Z^D#)rK1caJ*pZYmFvjUlg0_7Ywt*D_<J&>x5vh4R7HheaQ8RZVTby
zgdgwMw<0HnakKZxt|@+oFJ@CcywRQu8WRDuGjBzZ@$-dEPqZG&;?@~8mT`lo=Hr!U
zB!)!N9)k}{y7(UW_Q-n+UR3odPdhvj$J?Dz-^b&0aV<`d6fwz%M}i{<r}s!A(s=cG
zsv_fjrZ8EuSpaXjmkR#VkVbf^gY&i~9oXDr+H)yT2p(!pS=Pd9kZC_~TOe5nUZE4E
z3JJn+O4_gTR6!1Hn-)6ey>+1Fn|&$ysR(+0hg)YkE5Lt^{XoJd9W>bVJ=WzH!zcZ@
z(ugmLNQhY5Sh!6GA*HnLZQ<e&O8P63FQbeE50~UThAu{Z8aS)WBnk3v6^ZO4Dv)m>
zmn+ojfOSPQAg4eIANR<Xm3OM*hS96cb!xiM9<DDs?k|J6Qor0|&g!`0A60R&Ru@`=
zT}wY4WRbYyBy{DQ22Na0i|Re42bEWMoGLcUgClZt%H886C?>o&rH1LF>teX~Zev9d
z3%bXrg|*?@VR1UhnT!nm#4p_2mB69VTBcR5gJXktZ#eK7fHf(Y^F^dG4lMC>I&RQ|
z-Q||5BMjaQ8+mSMb6*8bZp9g=n)PunHm5ALpMvoauf9Vgsu)ExYgiT;A5+_or!yOY
zdg#YB8)bDQp4OspSs0*@f5-GXJ7fI2wCPX1hX&gFJBt^d8en$zTozlg33{GBTswI|
z6HBxCu0FC97={@?+@)^@=cHnl-ck}C+|zmxv6TY7!t@_CP3BNrcKFrzSPPd#=S7sZ
zP@t%p5an^w0#iB)8ZQg9@%Ynd*G&-$B;u#eZ85OIev?{X%K#lbmQ;>Anq`2}=kL2{
z1J?NIy?@nvRR@Dy_au8q$Pk%R%h^r^-aq^=#lTw^nM0a~q$l<9bf=r&TV^W$lO2&-
z8>@?k08KNkySlL5WIB4Ngo^yM9n&lObU_@>cyN(R8`!Q}++<+`ua!lMy<EDuCv|)q
zo3<wW*L@59T5N-dLDSThAO^3>b8Oj2Qp4P<U&;1MHaLI!YlGH*+DM>e+H}b)<0E%s
zN}jqcSOvfto1_Jvi4Tbs2YHaH^5V29wx}2lX3BLUp=9GFlj6HlFg>|h^1gyCRzF1v
zhs|lAYh+e~B~%pA<4qUmXKWDgmOJr$lsaO{<V^Qw^CLG(+4xYo4Fr2qEjG@oB6QPy
z^H?N1>J*|q3OsGl;pf~^>Z5`Yk<CG~a?6C~(}2<Czf^4Q)F^HFpoEvwyOgK%rU^Gp
zT-|?(QJ=w?lHzrWusf9M*HP9-*rnH27^_g>GoCj5FIf)cFY5QYK9v)*T@Jg{DgZ~$
zuFKgB4zxFvG7Xt&p?Q@i`)sua!sN<=2bLu<?Lj#!&D&3Nj8kJfd5yr>{J9wy#(W9?
zHc@NJ7@?gq9#0UevBnpVnEE_rQM88K>5dj1qb=lr<a^U?h4(d`hF_P3&~GG>_-16B
z);e?`Et<hu%7epq%0&e*IsBNi`Or_=$e+}MS!R|f{^$IsGl>W5qIb*q&yUkYNDhhX
zj#wZ{Q(@z7FHX2$&MRrBkI_tq9NG_-u4QmqmG<s<HdKuK9nWU}L9=koGU=Q#2PtFc
z@OmZ|*mD2s+C4c!8@vTy7b|lVmpIB>C9M+iizPKhc|)|;Ep6^s8NlgTt23H><1bNo
zzKhe&Xn>X^*HY>@$l$5|hWi`z774P`oM&fLFYRAi?p7;nQ}|WYP%e|_iK?a3!J}DS
zw2ti}rE79buuZ&LRwi?X@bUSl9NE=QQ;d&!dY{Dv|7enNMqX0{WqBe=e|-y$)A*7~
zU7#_3SMU70H2jl@4-07>ZGJ-|Ti#<8?=-@L@r=}G`9FxGGTw&aG4-@dh81zin~dPj
zZoEdnZ-l6pbLrCD_<%O(U1IZ_W{CTIa#n$9L&VSEr_9>f7iobrrX_~vhS<>26Rmk`
zfan$+cZL5gf@t0!rBF=)**UL2Pq3dD``)ckt^9~!-`Z}JZ9+jNhtuE1E4@TXl!#UG
zYCXZy{I4vf)&SINve%AY?I8l96jRAYuZcbf&R3mO1Gs<Kt|%|uO|)|gCdLu(3Abx&
zm;IW^aB6sS<Ka>l!4#TvTu-`{P%cs3rQ}Y=S(=3z%Z4uEX)cfQf<QYVQ>eP3uU#Lf
z!Za>c{_G^Gw|yXYaDO3!`|9#eFY7^DStnm_sFQF_etxJ#<SP+Gs(<@OOAkXYzGofL
z=puYyZ!AAT`9`EK$bBI(^n&7_DL7EkMFf`Rj;lQGBWimh+kgJ2gRadj@m4WkiSOC_
zq8bhj5LUmBzfo$}W^i(B`tkH`VuIuFkr|62LWlKbeW8>#&i!OEz24tLjCY316lsnS
zla~}G{Cu=frE1;Ka;%rwWU|v&$NW3t9Pjm<T1JA#6}^7N+kJ$UO>H;Ju`$Bs;CEvM
z77|$JWJ2T0`w2nTP)p(NpTuPox7D#-nwWGNymqs1fRL+77rzrZNpxMQn7&la;Elj~
z<4BVs;!M@!$Of%xLW4WUpG!&ud+dJgPpcXxJPhV0glcDqGTZKUoKi>iww@EcUZcd9
z?VO^9hvx{hgBH6@eyCyWqj2T8@ee{HH{^8k)&;_$xwiVdn;L>tH_t!AI8k&}sA|A-
zk;u}S5cY0n@Y2+`x%o2_#K+Nyxv<<NVsbov_wDtnu%%zTJ;XFcr16N)3dk-KitkU+
zTVJZ6(|j=Fg3mN@#D~*i<;yA|b+U8^??x5emwgcXbYzCGey{AF8_bN^EPcP|kIL8+
z8K$p#Wsb1PkKb=4#R`d!g(?TVl@az=dZOdd0<k!dcqMIujiEb^O>#3zc$<)zyElB1
zXm<!TGM?qY#t&wdoEMa!@Gw5+L(LMgIxuZvt;dabu|HOebd>Plc}b^Yqh;brRV0aW
zn-^~CG6|(^ityoNc`h}xO7L&dIU(*L0C~4>Z~D(EB1!Z_=h#VR4At=NsxA=%C0Bp1
zowXvG59{^jtFt0Ik5fc`hX|?_d<?`{6cJMOT*GRa4HmmH`D0bZpza>fc<+`164Q@L
z$+B_c)7z}kHdP7a)O}8R<gEZx8YT4~!42Q7IbY1(q#!G@d!@}>0V_|r?#@2sh4Zz`
znWN8TFzWbXC1kAvT-j5N4+aWgd7a!rA%8j8<ZaYd@l(JnZ!tdB2ST9#vkCIhP{e}=
z+?3ai3h+H>ezDC(1XICs8jqhSp-=UB@GwOYRk<G=<(0(n?tou{z%dn6r&sLJyrYOx
z6N}DQk`i#qe<^6VRSm6~$CpjlDPeO_3d?CrDXbn`)mGf10qd9>*(GAi_~Y09=*C4E
z6n-t<dL@{Iw&=Y@CW<O(<N3Dzi<BIcdqY`s%e3)Y{A5JN5mngTB!~QNRe)`IpMyBB
z9@acM>>Dklj)wa(yK8nUfj!9XShyt_GyAri8uMym==9v3`3YrgxWyOR5^4a?kYY8(
zAT5abTO94UsEXTTqTvrqC~!z*dHmH%7t<Y2YhyR4!=mxc*ytxi2=%q~$E_nnqqhFk
zdTvd)rHd|B_8KASeuLs}5(SA-7Ly(yNLYN+DJW2H43&B22=gsQ@Q`#^Ta=~^S+S@u
zntmpj{cO;+!0<m$=6&m4GV+A%Ptgvio51*5u>VC%bEq^QTvUChhsX`}x;yGj;IqL-
z!*hzkUwk<=J)&ex?)xSoxWxn`nn`(IE3H9qO*nhxCK<oly=&bAj3IKz%7yw6P^>uj
zWgCY9vaBT61&A6U^ul&;EK@Nhu2P=I@MpdCTV3~Uqd*GT9<P;ck#TRi&&SdLj*Y)$
zlPP3Gl%>g4O09z$^V?lgjC+QdMNA(ue3mxv&GV~m>yRoSEkep<<PEi`J(;79qc=1s
z<hI*^KfnDcZCW4S%1LgmDN3Mjo}CR&v%{VqXG=p@Jsf!NUvt}C8r?m)asSfoz*P2b
zdgEaoxMt*w)$bI-lQ2P@aBn-rT~@02xm635=j`ny3z=Y`ej~7z*$$d(1;?LoY9hU*
zM{kp32az3Oy!;|=9ilf?zPetlhH!HELhHg5t&Xm$eQC}X?LQ-X@;9kK=XIo`d=4|6
z-*>^wWT!1!KE{0wpHal(xSuFbB^TZEijC4_l?_;jVpLc?<q&ahtrO`lKRu70X-^Wh
z!OowwjSW1~2vESMhJGP>@Picpf)iBSR-7_E@lOma>$$kawM6Jus)_HPeglR%qkVc!
zg)ul*ctT@Qgr2-#K=F|yP$}a1%sGY^a{;mHcl|}_4Ub0)WG)e49zBw!rp@4~m$q%~
z8KU&RY<LrJ)f!iJKYkYeWrg6ckcqv`h|8!89?!pLg`oqE2Rg#%2*=usZNibF^hw)S
ztHp0EF=bEq+t`l~`qA=Pg_}j`LvE~{Tb3+PrTsjFLTMm^J~zMMlM$sqbi9?e#l!;p
zxDGiR47buAok_|)HYP$>lQ^Ro7rhpaUFU@S2S;c`SCN^@OA&gui%HC{_vZL;zO;RB
z<TR~y8#C9ZViEcm&1+frNai^5G%HGOY=P#aKk|j8K!m>DCD?TFf*JIFGG*m_{!4pE
zqy3{+iqPvgJOkD*nxeME=Z2vc6Wz}4^hy7A5&Gh@C;f7Prg%`oVY}6Wg|1v=$Nx@H
zl<sQx;IYQA3FeB{jh@nAqqk}sq`CTv(g$KU@7FwFg2NlH-kx1xryn}{`RJo&QTlbw
z+F$=Bj8QF{XrN!gNw<BTyf1LO7(IY|rs`UhF$^{j7>amt)4xRMuKzS8Mn9J7Sive{
zjOBr_LnBPQ^!?J}dPJc(om}*F%dS!*jAxrY3drZ9i?`p`UpOg2uiyXnL8Frqv`yd5
zd|NL-50Ij4Tk9`Lr+II<oc7NUt_PcJ1ZM^5{{sL3|Njh^cQ_Sp6vypNHrexX?=`M#
zX5DkmQbr_&5K)RmqD0anEs<2nh|thfiQHqB*$^oyvS+f_kDq_fbDsBop7XxX=kq<n
z+=5J7LM3rPV1pgo6J2OLxOKU>O%M}Bb8L6r*oe0Fvb!z^>cZUs$F}}bA#Az5{3hv(
z6duyQ!JDh03zX-DsjCITSUU7cj!i=b3E|yazAjMV^S36qtQ-*xAeuI2XUpRGJ#udE
zTc~g~K8M+&P!wyHuDUBy<dK!9`<VU{Dio)PXHwsZ;f5z89xFi#IFaT<`Fn>7v6aJB
zmwLoeD48Uk>7a;y?`i})ld0gv+0{o8m&8$e)>m^=C5*h~d3q*|3VqQ8yE>1Js6G<<
z{<oeoHq!S;Y<Wlp!RM#$+<z{GmXpli<P23XZQH}EbInxf6;J7Jlaj&Yl$zt}bXDX^
zr3xuB>%#e^Zpu`OEVk_Qoym0~U{w6wzzJ(z@b!s9MOk?~Vs9sq?yH6y7B(jy&(wv1
zhT7U#cLiMIKKVTCs5;)TudJ@%(u3XuXB?_E6tTP`ysq^W5koCrl_e+W!R8~a)vK&Z
zm}s^8Pf;uhZKk3^;$-!~`QEPD&|gY;+dssVaD<GVx0P?cd9M#Vou_IhOO-KfUt93!
zEgHyhTG%pt!2tf5+%N4;QNhC3;w8oGn#dlPnMHIrguoxBHw^<-F?mS3_GpGCN=VEU
zf1??J<i1n<XAKCL*xcIE&Y^{uPi;OLr@sm2o%;3W=Lr~iXhwC)ObaDG5p&uMjbX@j
zr}Bj&H5~oqRa9!Cg}=UM_vTobKqr?6KeMemZWHh{j#}14J$3!eKTf8Qsg>hr(WH)B
zkMGZNi_*lvy)(jto@Nk#xPs=bPekv$UV*o-HSlX#PFbRlIk0>&mh4)e3sgC5PcI>3
z*!-5TI9D1-uvVNI%qJr098-JVaT0Qx37+VX0_g5Oy>_~gh;1GI_e8mfxUG*Z=6wu+
z{G&Jbip~?UiQCCLAXp8jUWeD3eg-&vuUJ0PjEET_I}__(sNy}l+t#rnbYNZa=9B)c
zju+C)lf4F&F{R&i<(wrQri>Cp+AY-aPurWctD;JnEx=s5<U<E#mF4WtR5jFX<C4^{
zRluF`D>Ty}I`F#j*D1CTuqS1zq(np(Blj^ing`IK!QMMrYf=>(Br5OAH*Q45bIG}(
zPIPcz>wMhFq>3K~byY7{i6h644-vOD=uosxVNHfz1udQTE;O==;$6EQsfQ~7Y5WJb
zG%+iq64j*n=?x*YV{SZCR0VKCkM0n&tcb^F+V77|2%xCv)uM~10ea3<ntIMDAVtu7
z<>5|VO#Ny0Ox6g%{IdKP%`y4)|K^(I>CT1mQXb_3?KEJQ+H)j(Sr(H+O|@Mo*)eUe
z++JUO8uTCd&}XC|gJjt9@hu-4zAMjrdppS-u0Hj-&g~_InGz2_Cg!r>v%%1ihr?#@
zvXduL;f*93r-hY-<}qX8snDHd3p1eAI5}ifB+zhcw_yl7Gyc~)q~n%u3Xhu2|8#v2
z!;EiDo?A<q(9<}<M`g|g$nSNiv2mivA?3TL_azg4OEogLcQJvlj@;pQ+(poPv2VzA
zf(g~y?;Y6l!WgE%^xtW95ynNrl#%!zW-Mc0i!K*8hRcg)ry_%d(Baic(byt05}d2a
zuVXgBqc}Oa8}|h9SK;T_kqQ>9Uf5rJVaNz-&-_S}p4@;kI+T5`1*}-3xa<8+HzT+@
zn{d$gvj9@6gXOM1VMA6~(=&DrhTybfG<a@^A1_#0%guge$LG<d6R~tdupO-}5!U6$
zh9mxuTf{i=bJ8<@k#`30_v3u}t71NMlUrp{59LA|-Z*6iGXprZyuZPEHy_@Kd^7xR
zfEztu<DJ?{eGssr?`x#+VbenCnf?e~jEbpBSKX=)rDg)3l63j-#Btum2qk{(mNJak
z|6LD6)5f<e`|x3-MTx`P5djRYIWY4kNDs^nV!Yf+_z;UqhaVgeMAs{O9yqe=!GVE3
z7CS0Ge(8~zlUtut9dXj(;5}W?{2Tqir=1_)EakU;IW3IUG0sG1+x5DrRD^Ag0H)Ad
zE9VPDQ2(R(9nXJM&|I*$nn>P&#v}KCw)_#r=p5nNu^cKq6^}NqauvjnvL7<Dsp5DZ
zI(8r1O@)iU?-!TO3gQO!ku5K7N#Ia?d`y%i6{4o+@*frn;g2)<%{1|ixUWdAKIOL#
z@IT&hbU9QQx0fx&?t3JKakJXaho9&`o7PJ^8AlO}75<?o<|%{9vH1lp2|A$jqpUHJ
zE{e~WhncttayayqelIyl2gdNOYV8&=ta8!daAa4&7P4*ca}OQZ(O-0xen1=*d~S^O
zvMJ(rGxH~wZaN@sR9oenDS^qaRZPQ#lu*;4VlLcA2R<eC8yy^$#G9?+kL*dxnAe@e
zeEql%d@D$;+P_T-&t!7A?s8B;BGuGkF<S@r@aMY{>ZH;4VAA1{ldAY^^&^vFrw({I
zE&LGMDT_KEy$#<yC17DPnS4&23I*v&ywqhmq#xtacs;C!;lJF~(i5pL8ZzQKy;}h@
zpGtePDHG92>8NQvi!S6*^v4&>6;WO;?oNvv2?epH$2wUTjP3HjDUp@%<);n(wr9xr
ze!y}Qld&Gem}Ms%lTk*?0lk&nbPX(Z>;D$Lqz7?DJ_g}}Dww%dP)2Fp7g})cRdK66
zpeIYO1e+?7#wO}bPimq39Z&t{8Ut8)4Vq2Us`xTZy01rD8-Jfa8%%041g5Dx^YBgr
zUb2@>|Nc}PpCqkC3k(`T>x3;a>XjPCv6_9ioz+Hd(#85rA!Bf_Ub;6DtB#urANAU;
z*JJrEGJm!)ff1LJ`gf^Be0|km`QZa?td$iDKY!X3u8xkJ45=p~zfX|Ebs=pG%-B`=
z;I$ciRNy`kO(UV2{gSLSQ42q+Yd^ZyXAbq;2KtASNH}9zvb}X$0~h`_61T3=z(~zy
zt?~^CcO_m->4+p_q8j;`%sM}nnRj01c}2p2X)Dc=3L+AFZakq)0=T-yXDP>%@Upc^
zQ`c8D{C@lXISYF_oUI$$<fK8u_Y;v7e?F+<>0Og&NU3x%Y@R<!D<Gmma6spw2g(S4
zor*{5=n$N4EHuBQj&G|g&njG0MDj)&ci<m7%y#ZPmrqtlfxSCTX@hdO@b9EW@DLqx
z2%=qk&DGHA#}+&LaVbo1_kJ7wgASirD|&w$5%7)Eqsav$3A8rp-TvS$9gfw-^C~K;
z;=`X}9**Bd@Vcq-{=JvzaP*IrAMrnB{II>}!?$mOxI@#cmFl>D?<W(NiZ4nyQ<xmZ
z62^z;Mt6u5anV6;xU8L8pom^|0-xV4a$<W*TNdFh0Gqj5g+;6a`agC4Aq{M3<oI&W
zM}L6r8(jA<zLP@%6x_Xe6Eo)gcjZttKY%}<bbDBe3>Mu@T8I9B48lOGK&U?r*hswQ
zCg-GZZtDTIK;9)raPaQJ^N-Ep&oS8pn{P<sL{YI9ckn#Jrh$-5o;3p<f$4USI&u8b
znQ^bJc$N{P>|Wh%W(Kzt6D!nZ#E_deFZjaK8Aj<De*z|$Lftc;w&<H8*!HL|=*f;5
z#*5eIS8ueNz?Nk<a-hC2mLJc&VGuXNpc5y~j;Wcz<J~M=feV7TDc|AC8Tna;4dIoD
zYK$>F6OR_;eYXMs<u3k+keOqseiE&TYTpD-g10V?H1T77d%yUW1M`fy5Xa*}dYiz?
zH9agumJf|T-4V8#TVROrTE1OLHG;q^rhj%l<U!S!%NOIzmlzvvTzGE1Vh9z?wE^3X
za-(@Smvh036~+nK`{{oJ3_(!EU0`<I6Pw<F($V%+#>zQ0&gC`(u&*EZC!NQMd}8{v
zFG)<u+ZGB3wiv*<U1Wta4o-AG{(INQdS;B&_T%5Q?h)pm<|^Ja4m`_WJi1Yw6`3_H
znZnHU!AqXcF3Fh#Sw393YZSqT9T&UKN>}KC`>)Df(uN#pnLm7D(<nRk7Wh_LSn9#y
zfoRdM798lhVTwH~f)g+1+Z|tO(uHsbl>nn~4!piny4OjH8-t|Y|M2k8g>U1b*|H5B
z*j-ZJbE$&|xm!hJ;wPw}daYsPi6tj~OzA7>e8Gp0%cp(sU!X$zigxLdZccm}WW>$)
zL;#hI0`x|esjyj3?z~<$7oI)$oB4WxAkO~Wo|96y&fDPm0r|7sxIFy)Oi_Xm>V_Oz
z8a}K8%`)B6c^7%`TQ$qG7=|!D{q>5?R#pe>uBuN)z2wCT`!j>}e4?0}eSuf>3k7l;
z<)(7j`0*m`%U0(wF{De(QJb$&;K}6ovK=P{@Egg$_QyYQ{LVka&9<Ea?lQmFS@{Jq
z_l@x@nJbdW|M>P!Ul|H$?6uD)|68Z;xq#|YYbpGwxn0S<M;oebUo&%#3gIsC!+%J!
zGH7=5<G-t!+92VRvHR?@FcLXt-ainPL&?Tsi=Yr~*!cT|OtP{l4u@BIUlCWp*~s#X
zmb<lKw%;&bcAprgZhjhmL{|~5zt|F9?9qnO*Jclw--%;>QgG;RA0>QNo~2e4s|_aC
zuY3H`kwm8ltSnA<mGRD4ma<=!Hu!c#N78U3-Y40*KN(R$t-O!lUW!scB1A-ZOQ19s
zR`8w#D*~Rc{@G^XNr4Xb1i?}bSq$ZM&W<QlLlxQZo9(3(Slw;10lDRo*U(s{S%iox
zB@z{3+B(osUi&k6oew;`N6A@nB&@nS@rIY71D7^46||pI#OKn#>RHCfSmDw5A@Cp-
zOrQT83P@2x+8k~2(N<0TEV?wqtg8#edI9)csEm4h{Y?7PwD7Q(@TJ;~dJs1EHczTb
z1y4A0?M<%J#_<|&-eEa?aG|(4T<TQCLmnBY^a3b2-ing>bOVt3>X%qBNx=JCyyWk-
zP>^xS$$l<&J*Sz=JL#>cVa8f)qnEf2T2V+5e(gpeRVf|5bwM4gSmvGw8|vV2^lsy?
zG-L2<AbdRYi-=dkZmC?-&_R9nq1Lk{CeY+kXsTXFLUtJLF8)WsT!$QIX>Bv0*2#}w
zcOc_;-^$ZB&QXvssX4ctYYwEZ@%FKeWISuG-Q(4ujk(KQ++M5z0#K%YcB2M9;{D4y
zM%F@Wp6gsg1prx@lZS)!G_c3j+Ofw_13d$erm7j!AzE%hIcL59P-w<6w*QD2lNBD=
zRYC_k@v^e_2QucKzrXqG6*Y7w4*qJBuz-TE^8(-LWX%6$9Vok|f||Xa4Juw1kaFtD
zY0^a!TFJksI|nGCh%kSqS%L**XJ1HDxkp5%?2Q#4p2(vf&BC|;rUg(`e-<yMs-xV6
zX~~z3QW#OJN@2Zh0XC%Ho~;MekcWHP`lgvUj-3Ie-3KioSLp}CTbY0-BgD@?lM=>=
zn`K#4eG7P*%bMxitb)&S8?ujd^Wmq;dK=M6I-IG$=(gjqGG5raL#;EO16z#u^G4pK
zL-mof`eOV_7<6G+=sJlR`$o>m-&o(*g0iz8zkZ^C+-VJs2Tv|Cjy-&CXZZ)<QwnoR
z)hjt9eWDMnc}+1q?N3^dL<2lD`StOXx(xQYDQBK97-qB+5<Z_0Tknt9+b&VI5x0yH
zZ2vj;Fvgl^2*d6)*s@t^#rUWMF8Sv4u)k|(VAi#g`Ag=&`@7@Gs*4yp&MK*Wc-qW(
zEJxc}!7zgw>uz=_ZxP(wl-M+pQo|T5JL11<-W0lfTfWGp3gKEx`cvakWHdYdbv>zT
z3Lba*s`ia;K=WH+HTUu>8Eo2zvXa70V4!c_>D(G04nE;m{P?|=5$2es-}u%TP(*Il
z-;W1vVtj2+)HE?_OU$nsaTvo@SX&km;lgT1pZL#zzA)H^ISZS2Zi2{nm6>up9Qa$M
zO6ZbS2P0`~$E_oejKJuLhhm#08|opinybh!#$aq$&>DvknEL(bK3c|t1+EQO^7Q{O
zgn5;}>{$2F)F=PLn}e9q&UxF$$SeH})|MIVtqlgyP$Nxg-p+)l+eGht;v8ngA1F($
zpc=sPUZup7A6FRwR6wi06aIWPqFG~%L){i#SF-ehalWG0ZpVKN_mQj!Z}myWp;RuL
zbV2>~{2U(inY6;7-eT(t7MNo6uNuB<I<E&;iv%QZZd+!k`Y;DIvCJ@*4&0vSUDJg!
z=628C7fTG8mW5N{oO6u(w)Z1#qIDr5t#R82k0l1tZ%9;Det}`SSbshEKPns=dmkwd
zOAL<F0xWX&ON_oO?voK`sGv`Okg;da62pO_q2Zpo!dQ{rchH@e3iV`z)&8eTjFI1Q
zZQ3iV3`5=8FXFd!Kux%T?SauUV<k(M-LRSopUZN+eXOnn(Pl1B9jBKWI}(193S?Mt
zU}}~^ct-(Cc0Dtt?iB{*P|Up16;>n|P$w_DQXtUcxCP(Ze+>Q`+@B^T*zrZ&oasof
zHV~;@5y?(#3?X;bR!-zVm%94IDHUxvBDi>a@E{ZNizFNvPvF9<I<B+F4{HHCWzo}c
zGc)FzW$|u_;K9<lti*4q3Agu#2<@b^ApgOl-sMYtIO_BBO00|~1Ti~@6u7aXuGiE9
z#TEf9QQGbQUz`R&=R32nm)S7HWUE?2wjdI}zcBjm9~r8t-8%Ju*zxK$xAzZbgm9Ag
zgsW3986=dduatOjqUQyrt`2_@%>Q!e$n*>e7Vd7>;a=jxwztuG@pGbB*;?~WERh5U
zd`jMgA`e;|6&^4w5=XLMS-zqc3HFCwCbU1}L)Ag&ppes&*uNmKSo4PnbzOGHoYwd5
zkL0U@`KP3?T6{=-rHBZD&rKDCuM6VzxpUr{_hs;q@BWW67l<(J-&fhuDui}@+l6Hp
z<?y9or&rGjB1m4z+W3qrf;@H2cGt@lP%w>99-csif8$nZo1ciHVzBXs2O>&1kkQQ<
zQ$mDojn4!0wu)nO9f^M-P8o{?mz-4CNuauXC$5uI5+nTGMmacDadEJAw`?>C2!WpA
z?gJY!&wbPOyEz1m6}b94N1hCY<x{V{2c>biV7o(tqdGo#7(X8{ONNo;h`Vb%a%iRc
zT*#51gns|r<<7Ed!oO$cNi=l@%;!AzbGnU;;aT?!z)1^&#*N<bcqn3Dov!u0TupRJ
zoxIq-o+}hDA8c~YP(nh~#)062+8DC){A;G)6d1_kUwAXDj20a=RIck3v`8LjDxc8-
zQdC~cAWaoFWhIM@@6kb9^$Bvux@T3ccUc{|LqIDxcm7@xDyAm7_I0G|fxwLC`zO<C
z*kIb<IbKA?rM%_~qhtf{y`tb*XGO%EoS>Wtaa~OFHfNITHUt6sm#Mt-B$OK@H+MVg
zVsS~#8_wsO)^j6y%H%N_H|~--xx-!;SKCLkuHG^Mwt-&FPtP=P@buWe=bXBDn$JMD
zB;E`PAO6-qeo+(iFIaP=MN#o=K_#<%C=I?$=exZlX`$qid#|nXb?{x#;h#ad0IIWp
z6I`xnp<G&LsMRG3dd08>+nk_7VLC@r>jN!}_FIrq2-L!Vr@9)$*S+(HZ~oezSS{Rf
zNrJM&os2@(Q!Cd$S-|@Z(lgvVT3B)S(d1?>b!=7Lbz!58C4^R(Jr%Xr#1AHU5urC!
zkbTs4xH-iV*l%kHy|vfC?JRbVUJ8n+c=#6KbEzd{ne!_(h>$Tw<!joJRB7~&IZOz7
zYY8wcrpZ=B#E8dSnjdzHVS6*9r0BLKP|3~BE|Th)*H3-wAFu(3#^-0VJuP7*s`3+0
zFagWQyYnVP*)cL;_17$yB_z$&7-~OPLDfmQYZt#RGH#WWU8Ln%fZM*mdgK3;koBm|
zbe`TIqrNaIF;~|DZg36k($iN&rgOC4sm;L*MhM%nYh`q}qjbe}jYA&Oo$B;@#s1K8
z3vXY}r_o_ylep1^T4~gH8g-{<=`Za%DXr^S6~IC{v*=i{B%Z2%d#P1omX<?FJy2-_
zK+KAK<yS9;funM(VTB7c?Y993Pu`&c%UcE2Qb`efnG`44y0AohX=TGARcsDbg!W_4
z?h2xkW-4L())m^AMRS*Ly%{KV6V1Q9;=^M_d6FA`tk6zK9+j#eGlh-;;pE74E?jb(
zD16txLaQ#Dkn@x@1ve|Ff~5gAe01;D_}sx2TFD+Sh0(1hpkkVS?L`VRsurKL9DlP+
zdv<!}mVCT1bbt4t3K{&zFga>=&+_LIZJeWfV^aMl*pzZDq;Pbe!G8VIt*Mbk8qa_L
zXS47oNI=IrzfIE&pJJPKwYde_sD;bR1HMMUmGLLIUtxk_)|kdA&bvU<lcK1tyfy?L
zmznDiYX%s%=Tj=4=+4s$WIE0eMGWCx+p&5Ri*81XZ%_W#$T?cL4f{~WQ3G&T&5rb3
z{mKa6d{&p*IZIn~`@V<oyFUEc_pwgmQY~Y$LC93xZ<hA8Wk%D`QXeGKG8O_W?=Y@g
z{qu?vnx%cYxp$@SnI3?|_q?E<QrZ@eU8mWHW@te>8yfml^xzyd+}|*>k#>!ufBD1U
z46Ui$g^e#m7Zj>b)yPMErO`P&^CH*JDR%vut1qDoJ^G^$4bp$my7wG>am#;}CRbH^
zjDC{}Gq5B0zFIeJN7EL~qP|(0rU}bck&RS1C`!I^r{fQ;gB+7$dTowY-RIDflBEMO
zCN7z8gZgO)C-y6f1<ccCC)KhZ6LsLrn~<3;e+OxeKXuy-4=&K8n%-4AzNSDOR}9OG
zgCjI<kEdNL8H==EQ3eh{n<-#nv_N<~G)7ykuiqxiv`jnwy~yuhsWw!db=<Kx>@RI1
zd+tL;>I!X*G}+fVtOaEQFY;};{?T&8eznE;tkQV@d)<3oK?^kaq91+npQ1gY#NI5^
zVS+ndx^Kk1G$H@;Zo8$nX_|L(IjC=E2A5}&K}T~nfM&k0qsw!acB{QSB0Gr%R1L?K
zs>aE%c4^J9V0DhRmDMx#@)Rp{{kH5-1u{J9S{qAaEYL*NVw>_$utQdoc--gPBp_9o
zXN%`8(ek`&7Z=qz;o9?rZ0=<uToW@BD1W*_v+lDp{L9J>wXwJT)b<f!pjpw=dt{YH
z{mR~JBftw!&eyqTw5fw;^yF{BhfF}Wwyu-k#t+*pHOJ;0)q(V?=Rx@jGpN>R{+g@Y
z01r3nW(>BffpL~=m~1dB94wIKb1@bI#nKP<w!Ug`z^_ws`x+b6Tk!KeeJKpqCy!^!
ztq|a~Yp%wlR~!&^OLnN$SritsE24^X3E;b+`Ks(D7aWXVB;`nmLtuEILX;Z;YPfEy
zTHoV=Xg_kOAcrI*l<}W;mLY(=h+(m1Hy`}c3e;9ml!CgGw)TG0s-W0nM*OpV1N0?0
zq`f;N13c=eMgOe|Oz@g$v?>Tk`l#3PhUCB(bK@8PsKWH+Gc)R8!f?YcRY|H@0aW}>
zJXB&KfJo9x&lHC!RC>HBm!c~{Nl+W>7!bgFKf&`^g&4F8zR7w2Nf}6;kvBE+2*B~(
zjp33m0lwvWk<%wt;j4^7Ww4GKl)svDh`GBFS~za>rqI=Z;<00SVnPjkUJ9J^sF#K}
zGv!Xl<%v-4U#M}nR~>ZwJtRYA<RED;C1hHN3?Zg*4_C!Wpr=u3_F$_5%*82aoe<Fk
zC)W=F^GRgz9<see$xwtBE&X-+GTLxC|AklVZcQl9=;P5^Re}dyem<>96mVFo8I?P(
z4UeY7n>a&M;CGsfjnX9@7|xf@yt_yNQSTb!zY$f?T74;96i$VKh_I+T`>Bw*xnulo
zkQx-P9r_k&sS5^1FI{hQ=mBl6@W|tFb*NSv<J&x@3zu|ch33BMgYpKx_mTc27}+#j
zwdAV@Yb5gz>Me$F!Z3A_)<6bZ8|`=d)_q^W*d1XwvI!L4Mr`jE)Px6IDT#rJdN8VQ
z5#T3l3fGR9GJ9xhfzV}HE*CXDD0kv)Hr-_o;fCdH7eutd0PJs?1na_0OG#}7D}aeY
zKh5#i+7Q`oOxo&61<bNN5x<QNo=j1@eYq&$!5<?Ny+nZtYmH%X6ASRNcQ+5`r9g{?
ze1~0u*7|-cwUEeR2?>QSPUO{T!}35gtMfk+oO}aE(+e!&z}I3;s=_)C)U*<cmkE$?
zsWqy4qZM?Co7Og|X~C5It(x?IN}ykDYJK0s3i9cPnB4j`U?`iXZ+Jl#E_|bDuO7C7
zs$z?`xqf6=s@!|`MXWev`CU7su*(X<h)fAlPl#}_IPRB?=LQgqH``?-YXw>%iPuuw
z)z;r5HTsPsD-2DjZ4aomgr^Vpc&87jLUBg4)$xUYG{<WTU4PvyVK5`%t;?7)C`5*B
zTP79JihaT_rFU8Y!z)%zXj&0Mq926R=!`Jp1HMn$?6iR9q;2<iu_?gLtrTwMrFn+M
zf6D<co9J*kec!!UM;Y)Dmhy_1VZ!-4OD^Xv=&)nzvEyj1B-DP>+FT~fiZ684o1NbR
za6VMH`T3|AxHfz+TA;Gyy)Prt?fL*)ax-*S_XtA{Kex2zB@X-_0096043}p()@>NZ
z?Y&3Yd-L!-_WoZUvWn!jl9`c}CL$st85t=m31yVopi=tZvR8%7L?n?BS&4XkJ-^)7
zbsyJp{?7A8;Z3q?5C&3$^A7*9vcoLXX=P6vdUWj&x!f?!5Ii=F#FsxaLb37TM3xeI
zlvm7RCZ1{l0c*LI-=%1Q_w4#d=1O`L-um6GvO*t@wl(_>Pg20IZHtwaOY}%4_7T<T
zAw9^;y8Jd-_%D`d&f0TZnH~-7-ZO1y(Sx3t;#xMN6-?N6=5tjy9kO(;yvb&%3yo_5
zP0j{Cu`KU*Cw%?sP#GT~_GX$6R9}qaSI-#3zAv*RP_xh>hmzCQZ%4IZ8e4o+xYLXc
zrTLWv)zhMg2f_@SL~St7Ff8w;tHZ^JiLdU*(IV>~gJrGBS`Z*vlk!Pp08c&SpDgG_
zi(V)E@_#$82~0n{tDBT3ab}Up6WZ>ysNO+wAof2^IN;rrTz+Q;Psw)lIU7NXSWNS;
zci<YpQQSPxAF+t9sT&KI)Y77hi=nkgNg8lMb>q_0)n(i!%lMKxFCF?jY8y>ist(=d
z1tf@G#TktD+azSup$}x$sXR$_5M0Ofv}V?ETCR|xQ-<{DyX&J;{)cKn_8!$7)7iwG
zlnp1@m>CeIvvHA^yc*O7Z5Y->ZQ)<-<#nTW7*Mg#jMs%{s^ELIIW6_gKYU2LC}EAC
z36;N+WN{^{Ldnyrx`LfuTz~qr`d2q*)GEc2CpJKWRo@E(1Jaae=<<I|U*5AIarWwn
z(O?pMi8uKhYfpt-C|DZW1KCi-om!n577`rmk(?gLphl<U71t&OInbkA#_rEmL`b3}
zHfxO0AibOoo;w1ZsM;oe^|})g>a4qy77XYR<<ho;iy9XqT)s;qOizT4QC2GKIX!wA
zMSbYb32sDx=OJBJm<nV*V!GsQ!ie$%>F35?@*tKk2?lQ#m0@z2xNvKk3DJsPaBP>`
zhm>Qx|B0PfhOkXrDo&gQaWQ?Qq<OU;DH!p6GhtK))0dN+9Mx>d;X3h>b|62ZYk2ml
zqKW|iCzrTqy*QA~mY2yc2%>^D;|wW(0(53ixwc*5MA45;k9X(^qq7IvGTvwrz%S`Z
zf!-S~v~%OzZo7*p@;a`&@L8AuD`rt{9n3t4k8J+ZyH^ZZIqKDtMF{XNs5I@{d0w>T
zM0`!jB!NO1W|=wl3Bd2yR`=o0J`}($O<K2;M03o-jU5pL7-P~b$;;tG51$jlE<BY&
zwk<qTj$;H^e&5Q%VK0CJC%kU*h|3`QnUi&Y1C(KBC^j=xSqM!ShK)t%$s*HzEhXmC
zDp1I_nwuphf^J10xOqZW9=(6@REdU>2s8yeZaRWuh!a|G=)X`v_Q7Nty1PV3(<x!(
zBZ(t3W9^t-GbPkzl_Bugk_6*LS*yOb66j;YupD<U0r}qlX0a%s3f4yk+_xho(faLp
zcHu)R=%YX~<pmZs@SYAnHCrKt#C5hjqV0+3HMiQ!Gh*uSW0;-YYeE{4LnM6vE)kLR
z##UX0g9c<T7`r^>l10Ngs#ngRA)#AWWZ557Xo3wtc#`zxP?kmXk=PF;6uTQ(E+nB1
z-)v(}9(9yQ3ei3pP1LGrPT{rkMx_q?mvvug#zg^%3RG}}(W|0^GXZwnhxCAIBN2%l
zP(%|GiFf$>Nl3%_)X@BIeP~ZskQHW7LiDj=h7$fHG{%&&(sI)fj?~<_YnP{lM&Dbr
z=D#DNY30uIr91$hYVR1BDG8{`-e1$RRRt;X(!M+M5x_Px!FWP}fEdX74;&v5kky;B
zRHO?=@P+;{_aQz4O53g>f0tK8!nAW8_vy%xCmKDy*s6rYm^p*%PRpSu3C9^~!pI<a
zB>Q)}t`f4TbAI$BT^d!nw})@Gk%54JXiz(^h+ew?jH`GcfmZru)hag0u&;E+Dlc3C
zy-#J1|8hkXy%1&zc*SH4?Q{_WL|b`u?72(qNm>DPzEMHw{0<pr`!hB$Iyod+-@Nu?
zjt6mC?fMuGk>ORs26c0u4AQsl<5W1pfy!imo>$E!L)>`&aHo_sdK%^)xO9~P`96{k
zyk<=Xz6-79JNc66#Kq*loi`|vop6kM$chmNl@D(o5R^c6e_m|gjN8C7jrv+!uN#5y
zTNUBdJ7VaZK%^lz<2-KC;{N-+q!F~}^-*YBh#+aR*IC00!}!&oyDKI&085PFOCphi
zNIRi<Y=x;9Z*oxMusHz0Q>drZ{D}{xgr`0zZ|uUhBZh~C%P`PhYkJD;v=2$hGmXUh
zjbQ3BN_7tJ4dK~+5dX)(gN}|c4yf=?U=OX&n2xU*09i9eif5J+HH@FP$vN;1s}76K
ztCcVSl8}!O-7-6(7n-KY;hw^xXbb-Z+Ur9j<A}gg5DQ9u%YJD6<2S6WZ_e59x*ph9
zl*iSQ8Bx4;#kwCpi3OaUXw>M|1;22WAf{kC)TYF7z>RkT+nP`B(d5#Fq?*mdky&cg
zd;Bx6#LgEiX_#e~!&L`p|Evn;S5qSUdA^}=Y#94_>_>NEg*MpwHks;%@8ZGJCTtbb
zpRl%$3x#gf+Q4Q-^+<qY8?T%4avOZ!jq(5bEBBw97Kl7}q@FFXiJR*<Sr`6!haGP7
z{Vo4i6R1A-mwrxN$Jf$j67=G#vC}o~pB_tS!mC8e^=kK3e5vOUYfxb(9{oE%v@lr%
zSS34;WGDQ_b#J^5%|H7JH@tGxW%7?Y-2YsH_irxY%8U7-raxNnlb19KAV3{li1~F?
zUcYd&WG$}YQy+1k97xX|SA%nQ_xrXFE#S|iml_%E`*F3rN<y=f8l1eyb#(LL9R6<T
z2f<Q)1Sgk^H9qcFh3B;6DiiKMakUKQ(5Tfh+<-nXOvynNo(Z(Z^PHc>_2%eX*2gFC
z6xFD8;s^;MEca_U4A0=p`pfjYmQ%Qwi@9QfCkb`~Em&(4XYgCy>aBm#G=AB9g4u7L
z2zFpG9}zi&UvH*tnm3!pL(R;?&PMF%;^!M!t7q_)C?kHt^c-&W<&R_)GZD0WX?nhk
z&f>bMC#!r47jX-f8GT_;f$8&2y`k;1_-1SqZ%4xtK3I3PlJ1l;EbJFm5-<CS$N#*n
zn`r(Ux5@2{p?*jJ;l-#3sirwR=fmgZgR?8Ruc^Ws#kdlf?Bh<!;#t6tWtD~~magFs
z9av<SMU^1L^?bk0y+u5%;%;NiwGF(H`$0vguOb}Zby3?@S;CJe=WzVW*u<#~dHt?G
zQ-HuIHbSh*GHz`0jC`tP3(u^)7hy=J07b;7j?LD;ap8ccznqnJa36k-_*pl3*l)6g
z>eE(m=Vt`tH{KLTU;K!0Nxd9!(U(Hw>MH(a(~60vmlB<L^8C&n2|1`}pEJ7=vyK<v
z3DWoTq(;lTt43?7vLI)lQe~(42mj7U>vn4&E$ZvdnfkLU1GfxroXq9_i$6kfxhZRO
zDC46F)7AwUkg=lWJg2;k%Vn1`<Wn&s`3tS}ew)(puxD=2IeZ7dBU2(0OJ+v;ckM+w
zFH3{;#yDqLGzBV;`Yv{$juq)e1@?DwNkd7$%D?qVO7xx)v#!$OK!aM`xlkbmx<eD3
zx&GAXyb0IszGs}M|5V$ioUIfzrpwDL?#<WTa#E|zjvJ-1S_CyvNdbl9W@Yjs9g=85
zDUrgwC~5GZ>@_3_COVn_TvzvUl}6iK73Y4`ped7mI8_qllX3fOC1%8O?B%ltb$)dI
z#i15*pd`facbKiX%Zi)>^Uo5J1kw1AN7b&&p1yO{Kwgpq@qbeKaF|yFnLUefd*~wx
zT*rN{R_Aacn@w7sydW|3(2*|wTcRZ7wZMldA~&+|IBh|m7e~`gHxOT^BxppQmDXD1
zLG}vMA|XkVD9za1#DydUcmLDf-0a<lSPmBai!zf&Myc4l8x2zMQ?$GVCiqaGSFcuw
zge<Bzy=E5`D-G7cK0-ADf~Ynoob8@~Jjy<SmsMSqfun&m{cbVBh__NHt5Q)B=`Yl+
zCDzEo4r!%PnNbXd?g$vy*$~indf5=Qjy$A0^G&y%5J&TY3)Gacd)yCM>^Q-$2zC{p
z_un0nKyr4)H@rrOD51tSxy^_GH`rvUG~A`oLEW<M-~|#om2xq{d`JbDjT`!hm!%Qq
zT}egRWmSYE?_x<oB;b-`i6*DYBLA#EUBx46NJ4gSB3V)mLLOT>_$$bx7!@xDt9$C`
zu5H{m9S#ln+L<B|h!l`ZfRK;Aq6XqMZ$EWPSqpwhT$4>PQ9|o{eQY|R8pzEgGlV--
z2fT%u7|uK<Ac|*6XyLR5qN6@Td3!_;Zd~a5mNTV{xc(UBByeaT0WQn1RZBxy$Z={B
z`L2RCq-hh*TC1Z=JTAOKM*+4k8&A0&CZhepy(Qc7YKU>{x@|<H5k%8`^W2OjBL7$1
z#m63zQ1Y((p^`W<^p@4`7rjPA!aT){FQ2I(sp($vMlWLsyslz#)t!i9=4q0@-%~_Q
zrij^)#{{C23-i_Kh$tkV`Bw(WB8Qmr3;k&(aE)q~mTp%Wom<|ZR(&slo)wRmaQB-)
zr7Ba=xBCQSzIb0acR>jCm(Im&Pn$rDSeDa?Ek#sJ*MBalg$G@2{Pp2>n+e3ZMjDgE
z6woJTn&##<CKOR^K2{oM0uE#y|6yS{r2pWMeM8L_PLU+^Wkl2jq>Sv}Hc`u<wj|!)
zjS_>ns|ro^<04~NrX-Qnze=LFC0x<7;WJoQTS)$pkTKNKC$r|^;>a><W%o<YU#xUx
zg<&n34D%Y!nGc;rk+WmY)35zhpntY2l=#O8j&LPpy>$^pB3E1s)K=+0i_rJW!^a2)
zCb`qCv-hK|m!*FC-x%S~E6*vp0RV4jUmisc9z?=)#2$|_gVvyYfbt;#$cw6O@8m$6
zPIq5v@v_3-Esut>bPT-9&7`WbnUTwt;x|UGSwT_m^vbWjyeGA~{wh~=kJnR4j!x^W
zfQ<`Ui<BAw+n4)g8w!-D<#&C=xgV_Hqo{GEwnZNb9+owa`E24Lk)xq;k65AfsM?Q>
zB|TWUCE&p4wv6Ah`le2>Wd-RsUBPrRdaxbh&7<cyg@5#0bIknB0;TK)+SER}u%sNC
zGTz&bFGxQR=gMJ$gyQG<f)zTz*DW!4%LZW>*YB*YLo8t0O@5g1Pa6^pD~|>Zj$)Df
z<ou-hS)iK~`U1DthNV+%|8c+ifth_=rwXHDf%;$VPxx!JV2Le*wvA&6`*rbpx+5zK
z@Q3nKDG6%9fuxK4s#7c2OYwMn76TS2t`^?CeN_{recoS%6C2p6_(!sISu8+x@7|=~
zUk&JJ|6xpi^cPcm-2Om}hZWk$G#!y=HNdLZ@Sf+(e^|X+mv;YKR!}+o_IJ*bI{eY(
zMME|eK-U!f)$1l3<T{dUT+XWl3r&qe{!2<Q9g*N)$zcZwHN4jFPYsfOoYC6PPYnt)
z?Amrd9Pm0Y)3YZ<4U)TO2wq_{@RaI?-4|X?;LXcSEfiOSw4Fb*mP54gC;7fSKE?_A
zGpHAizEK6?xENkzpa+UjrK(!Q1uMQGvWl*%U`I>;BK#Qx*pAZE-F(9h8pp7rqco~O
z8<Af7Rf7q5vhynq`*?tr^~Jc(QxeqhTTp9tGQ+!~^s}Y3`#?pjpGxfn2_*GK=sChz
z;e?~tP><byV8vyIkt7K+86x?H_1Ph_=+5Ui4SbNSYW62&h6rNxqlSxV9AHT)5`WxE
z09<9NM0aY45EC#xl%K%~{RbN+AN&yn_|X1bER_gBLC+Lui@3nCjJ83uNf?x@JPaCx
ziNI~OSrp&N4Qmrl=TfUhA+h^a+1xQAWE+o{pQhu5WtH;tqhn$)rIcy#&YlP!#*rpV
z4*Q^;)Gt@KCJx(eso9yXM7XKT+`Lo29}=82`)GtD!PlbtQRjIgc)g$yb<*dDs_8_J
zT^lL*P~Xz>FP8`*T5`50dIcbP>QKVJOliPm)<^?`M5yI;YEy|3f}@PBPOryh;CT&h
zuwRx0ys`g+RS$@OBHgJx33WM$>#ti)P9Z`5_FpGi4l%f*SW+pQA`dzaJId>fsxWZk
z$I1tKad^0UskU@d0j9p^?5yRh!au=Df)axSthc?5|Bs{ukIZs!%-X5}Zr}RHid_=K
zyCTnIpC&+=42wqdUa#!89j&Sqkb?S_I*rHK${?=0(DIE*11=@^vy010!xmZOMM<s-
zC|+L3@8Qsd^4oC=?L-+k?5JWLpi2a)tu_r_k`{dQITa|ZCJV&1T>1DUBDD9r2yXdl
zLsMSC@`{`sXm=j@Ap434LIvskC!gzplrWp#eU`m_Vm;4VH4wqk6^s7Dst5HAyDCCM
z@<7b1FBr}vLP4RNuT8K%%=xYUJQA+}yHx30tcQtkxz>j@x!V8&qtywXY>L3;OV=}B
zpaK~|wwF&zVBjXDo4RvS5$1(r`9cmV1J{KpojMYLUo1`5hx>}KAhOMHwLl5(IA!hi
zA%LS7$0ks|BBV~;+On-u0FVDtJjTgJ5S+HqXn9Hze%b|hw#UgqarocYvt>q5CHZOS
z4znWEEL8E`*!vHYVSfYvZ6o-3xh*<3Oaa(Ue#O0PlZ0bSDRHuDWLUZBZ#7mc55d1K
ziD|ft!?!1n_r+|;(5-R%iQ{`YFdI*|(`FWdr_>Hf0d{0C{Krk+*CY$nC%aG4-r|Rp
zwyG>@G8qQHX^)KN$-prNy4v(mUidr{tC}H52BiHm4)>9U3fcFMuh(<J;R>~v{8L7-
zZTpR~MN|rGbh0W_XIbD@i(%NiJR^uyxf+n$CjkdbqcRdPdYISIrMhix1QYX41c$5Q
zP!sUctTmhpB$qry0@ne=49iwcKn%Rs%fu7~{$YvM<b{eH0FH^zO--~S@SyeD^QfM6
zY<s$*^sE*D!+4fJR*@i32W@OcE-z!vw31?7r5N1!yO0y(!w(Ve!I#YQ<}pjLx5<?g
zhA<=4?R~{!Kg{Myzf8XL1G5PiQA!Xr1fMm&mzs9Gz{JI^D?^&X{3TAiy>m1GEcZ;@
zzXWcu*lXY4{U<Ri&KgFqY<=*v@2G%DPDqR*UQ3&rz?yOg12{kHL1aF$_3oZOz7*%l
z&GebX9)#yS){xW#&FE`HJ~6hv`;t`Rult6zj&ijyoYsY+$>b_E#0-8Ihr^Q>-!Yxb
zbOVJAI#5Z|^LwL&5gz}p5`U&QgDEhKv(oYDKofN&&B;D`z)TXv;}qsF*6I0QGUv2G
z*3B9_VMqrPr{WH`1}|b(+O-D1d$pjSLTIdNiUu~GQ$|^DFJTsu$E1#EX@RI>#6PKb
z)Np0Xyf|p=H+GRRhgT_ouZJ#<tM&F$!G~Y;9E6co?CF$pSrDrxJdl-|q~fN6%qOpQ
zo-eFpA}>eBcP?pwn5DM$;b=-Ip!%+q%eRT8ecc-DSycy9PwLnr9!f|m+5YkL*cNs#
z>xIuyusW3Wcyw8RqyXo^!jhgnF41bq`!g=6!P+6sqTf{%@OM76(utn}{(T;k^f;vk
z{y6LH>?ag35SH2D<4XznB|Lp}O%(#tOPdS(C_wjZd3}B}6-fI%?23y~1p#Yur-8k9
zJ&V)ay>)2djrc;22fHeimt^}MK2Hg`BAL&un`i+spWBTqB*8ub>cF^VO7K$G>eBP4
z2mb?RB6PYWC`t^-G)SR>deUP8S&<QH#*c{84-kP7XQIwEp@!}&iKJ>)W}q9SKV2P4
zgur`|O00r3ko~%6hH;O-A#^>wnnFa-HCL3e;-H1a<-|ogGCLS-1r1fFs(|X~2Tm_(
zI+!yqZ)xr3fSe2Ogt``#;f+?BU*0i#NV%SB<if=TYxRbDkw=w5w}zQ9>p253ao#f>
zJIxJJ?8R@2dI+!`9MvJ9$^<9s<K4sOc)&56^~6y}0-Ru-Fg6=t2BB7SEsrbvpkm|a
z=E$59oaue$>id8dgc9ot-Wl-0@i&Z>rRhrWFS1T{{VqE=jZF37`~t9V`(!|znG$gR
zl9#rg-~g2iV-5ca2*G2^x7WhBlpsdBv4Dk@3xrdB{S1vnVC$*T{Pz__@Z{)zb=Q^~
z%0-@aFPn*hMb`E2DT|7*#1!r8{EP=`Sh}Xu<HTXqZPg*2RtW;ciQhAc`#^^1A&|D`
z6DnR;R-^Tm!1CZChhOJ@h;dKzjMb8Y2(eXD=WHcNPoZnAzrqim2gHuMR!W1$kJ`{A
z0Rm{+FI^UN6@*h$vAsr`vOqub-g>Nq04_(aolLY7hH4W_*F#-$;NoGSbEZNWaF6^D
zj{s3vWBe0#EJy)fzmYzY*s22mJ{d}8ycYv=;WhbB97@n~apNW-jR>8m??nmjaavwK
z?X&+=0t~ash8;gff^v<miV+z}C_GuZxMZdR+s(0?L6)lU>$4sgm!}lOQzV5-dJ$pq
zmY6`bs~Qy18~TamOT(4koAfFiB%rtbB691dI-D~wb@Sijbn}|-di?_ud~LE}&{)=h
z&N~NOEcxXC^-(5$;Z=n*lrh(qPHMrhV)QvNGkK_PZ*M;7rV4jns^5{O*MYm}`3)aW
z1u&4yt#}%u3P;|0@-Efrf~w!D>Q8q?$h)O8#9*%qm)zTL3ZK!3t%SV&%DPH$!Nq&7
zVuJ)%T(;Rg2!_y7CEq;oLkXzGI0NGL_MHA})z$R{gUB=PG5Vea2<#Auetek-I(7Dr
zc69)cvF~#f`2-jx2|p_Pq6{UZK|P(bMsQ!a!Ry|A0$h2Q(i!NW1d4{?rtutPxb)bL
z(C<osmcPvJX5-{xqAaq+C!GvOIdc;>N0i_{>b}CeF)~oRsUY`ckqiez-?gsrE5Q|K
z2CjF0lAwG^R7XO=7#fR)*SW+L;jL8o*u0|{=-rdeus1e_a~tDA4_D>ko$6iN*lq#1
z`Kx|3UEdfiscCw=^X0(%(o(?#TVA;9pYYzD-xvlq^CrJ3$%0!z!5M!S4!BS_$RRXF
zhDYt&(o+wlfr^RQ%3+fpc4`ZlL(<5g`bKx4hfNCF|FsWhg-}2{jg~lrDj6<T^qAO(
zN<ijr1Vy_2D&}i%tis)41d?}dc+pRaLHuy&S!Ky7%yfm3U~<d|yw>$5u2+kIM^LlN
z?asH@z=ufJ2QvWCVyT_ZZv=t<>@)3rryiW(Cl`=;9^g*R(N5`Kd|*gE(8jVnfq&xe
zc|J@5AYJ4>=4ibS7}xwy(}vC9qZif>T@=P3v;4k`?H6vSecZ?G`f48cmH*7CY-kAW
zYKNcJ-{XXlRO=~8xnFqog`SmuZvzOrBuIE7y601jQ>PTTm+<zahdmUT`oQlq&3V;_
z88rE+tMAb);q!zsi>YQk$bb8wEs2o<%3XVTI{AL#onx%=5fpk5VZqeGMo$a=zP7hg
z(--hZeJav9M!G<8^|)ZV6BP_!3Sat~KZh4!MHbtMIv^@ZEyugGi_N$Xm^+@H#Z5OQ
z8;%WV!*8AZrVDSku<5Uxf_%b1@b4`0QGW8;Aa7r1Ud#Rm>zuh+t@3sXm%C-GH*i@C
zwwXCjUKm`(3I>@L8oVd*s8I$L*KtiaX_9+mit#rlvcMH5DEt)<vHN`JwUH)h3Pm_3
zYW>2f<K)ON{uyWZI8^z(R0BR8Z?(W^=dd*GbaO)EAihd*I*6M`1NMKVZMf_I0~;%?
zCzj3i;g_8|B}(Gdp<zqSam{uLbCi3rRpk5;$9!m<Og7XYsHe8=(31&l<yMGQfJg@(
z#klWNWAL7y>tP!^KZdE|9Z@e>ns8Chu3gHXsxUV9@ynL{XYB8zkz0w2Z}6$<MB6bx
zRaiOr!^@mz2wQwox}{(I6t}<ssaJQ71T&*$6vt2WV>io$a!59X`0FQ`kGD>ffT23*
zQj<|1_O&Th)HT%suXdg9ru(~>i<J$|YF_EV{Qin%42Rvv1THZ@Gfp6a6U{e|8{!|a
zEwz?9dd({AnxZ@3U0x!%>Iaw+h2LYhY+EnuZq#C}<7$-)hgG2LHtO(>>%tT!6G|Oe
z-eT*$SEA!0l%eh7llT&!PVB4H%hDI&@38cuZ~xvuCcu}Rj>e4I4(#z4QMZW6W^8Ko
zFz2JMN-$9R!B{@91Izi7AmMqa9kWjUz&S6d1gc53pYkF)u>Lfe9MQ%ujCf!9$vGEA
z=!z|+<sIw5M9SJ5B;-G0(SEgaLWK&D_#rnxIK30IbS|hbr|QLmrs{W^=jEZb;P4Hp
z>s{DM_r0FJ(uaMovGumrmj})?;ja??-5B{u2KI+)05iRp+IK5m4xW-C2<6@%uv!|9
z=Pxyeu+@g(1D9uIfoZ6zr6BJk)^)~oF*9=n%RBG6vt%j@4+hoPt*d*mpz{lYB(X2p
zY;tREN2v^)ju_e3I@60WBusA?e;>zG!wG~{HW_dt33W19e!`YqMl4K1Ca`0CtOxAF
zrNN6pbv<vOA8S5vPxi9lH|%%L5$VAnQos|;W>u6ih#7LcIlVbMg}sWFnf7*;g8u;k
z0RR6CmuWl{Toi|qeP4&M&x~R0+st4rbA~91Qrd_liC0-mQAvr?LK}%vB5Np0D$5Cx
zofaetSyK^`Hod;z`{AD7J<tFDB<}0_))D=dZJ;3@6FWM_=K8=>Jk?2oBA)jeLAT$r
zz1*JW2g*#cZ*TBiaCf3W#233=2e{v}*Ej45J{dX1K9wyzl-)!Io+n~v4eJNlC$%X=
zbJefx^1-FdY9}(>oZ5NuT>TK+t?0m4=aVyR!W=(OW)}%Q=Oy~*?fA&vbU$;4t@<px
zlS1Nh^dP~FH*v{S%~7`3N@v}5<8y39wts5HggWeIyjeJ_JkGXBrMGh4e`l`^QF;6$
zQXSfCnGdE`O|mDFE>7$fUSwYzSQjEEp$=uB&pTB##qK{wm@W_f#m?EXqI$!6HP{#)
z9skDdEBi}#N^id6U-ry<r4@x|R3WH9=yrGJ413M*B_3OTF1Wdl`s_lR3Piq^xTngQ
zWk+l^mAsS74R()8VviA309Ssqxhgu(9&#)B`1!yJ5Xugik`GpfwbOh2#f28wNhj91
zFCE~6FZ~@2S{+JYo2Sv=W4Xw-dgM7`T_gZG@fUuVv6P_wQJ34>f?w=FreI1cNf-=8
zJhOPq6u~*8^w`zyf7vlgWz=(TMS*`qNoSdbB1nD9J5JK$f-42#KlJ(~Aj*vtThmDd
zr!d;(;g{TyvwOvnE2&Ztm2Ba6Gl~e>-?3;kX9Z9)XbnCgGVpzOH~$V65oFqIH%{E;
z1D}wm#HmO*IG*^IStUb+HA;7ir9KHjC!^El^<#PXB2>M_RfGuAvF!BOUBaMrfbeyO
zt_T<FPv}0<B*MDmH~f#Qi$Ut9(_xeuWr#Vfk@jpa5gLaFD+FXDA?4AN5c-T7Xa(Q&
zd@xFcgn8CdT9p*6c+oi7e4PaU_MEJXO;>~$VV~nXF3Z5e^_N%q{V5=(BfL`~O$j*L
z)n;<8%E1qj{6DH5RG3)leE!n3GW4__8GFzs4}ZGemc~VB!QVWdfcU$rF#ON=ke|6C
zn1`>u>-$(6b{ddEq{Gx9&0eW&MV~T!a}e63NYVp!!FXBqZW5>yn~r}hQv=kTG`N~)
z031o)?Foq#7~Nzd^Vf$2WC>%Pjw~Zs5k3*RF^>xOcZE+-1t`$hsTjVvXbjECdv^92
z(O}BS_XVk51FYjW9JX{a1;vtmJRj-0z_Th~_-C>v1ll`v+a=MVSvKN@d5r-a`1)#p
zP6Q1WC8DZp%NY=!eDbhwpfOxbOJm*l)PWa|w%<K_j|nR3igoJMrto*>xx+WM9=z|!
zc%Tzt23aRX14=eBVSuP<6e(c<F4ak$Dy?R4GUAT72H66(7ij<Y`l%sY|JI$>_}mPV
z2FDv)6s*8_)OOvLYepbPz|}$yX5g~rW9MfzHrRgKEFEQJ3`qq^tLS!25Reuyd@afW
zRr@+LPBVt0S=VP+Ne2}n?sU~KTd1bOWLdj0++c93g{w^9`sIxx&Bb;wY;bKl@`W)Z
z2h3FL-e$CXUoWYlY$b>^tv2J1GX`EEac^&LUFdM>Y><kuhtf~ohNgVR5JJuna%iT4
zyX>f((TqLp9C(!G;cNtlY}_r~EY!isf%3MH>;R)i36&mA25@@zHc#Au92}_>UN|A+
z0Qx!dw8=a@FwtU+<sJ|OZ9jMJ%2s<g<x&u3;GzS1Uw&v;_<d#D9;tA;=xz_LXEYa9
zw`;-aUs>9&dq35L4^H38ZCVLY>PjSGYbwB0vy_e&4?drCR?nrb1YNHy{oRFRFz0?-
z{hT3!UFSnLZ$D%QCN&wG`L)$yGe~Ml3rJzf+m;90n{1&}xs&02ObHC)K1;-%kilA?
ztaJ%gTgV(dbLiSM0cv@SnIFyN(BANx_4h~)s701|$Q4P$7tO4j5gQ4p{_m)W&<B8h
zJG_q1M~OjeLG}%`9|U}}>#eDl3xMC=K|Tk2en{<SzC36rkIujQxY`rhu(jB`baCH5
z_Wf(u-dAmqN9{}h-Zfsafn5)cVqGrJv8#5LYBE{!xc{n{#pGRUXsKZiZS5Fh`|16c
zST8J(YU^JUvffw$K6LX6iMUe}eNVzNwTpm{J70x*idn&xp|J7%W5YEh(dmqrsRT@=
zTz;Ig!4iI&Gi%Gg&eZ&1%-N~>6HxZtOa1RzEI6G!*z5c9M@`k5n3qQO1T-s|sc_+9
z!S)-aKb?7(YR+CQerrZ2;0me0sscX?xa74tYfn2jJ~%M($=IBLnR>AspxYd}IA=@t
zZ{tPRuaCl*%kvqj&dCmQF$WI!>Nw$Ier&uV@v%6bfW4fltF7&3P|y1*U%p!q1#;6;
zVqX!kMlR6n&t@}Nm&EJzv`-jY!+m0HmgkTW*680c#)RRb=Y@{-qImY^pF`BA^2p()
zj~GNR@4+6=P`5O3ys^aV>bzM2pKf#MRaRkwlxb92pRpwVH1*QY6(Qop9qRD?ItE;$
z(9W%ukwQbMPd5eM5wRjj>8Mf|1IX*@3>@aA@aOGIK8E#*I7rW~O`|bjb@^<XZI3iM
zZ#|^+tU(F6+vstz<8(-ycz-dXS_UWHjK!}SR>r#o=UmGYIvlk2qrWbcMZK(A2W^5X
z>T4fA$BLoD85h0;u}nFv*by6dbEg`{#eI$z^q_;iyWs8Qn*>xUQg(d3QyuTGGy7l-
zbl~hsvA&fjj{>A4?T1xJ82L?g=C~0ZPNh<wsZ}YUHMwA9W|)M+iUEQNdUVKsLOJ|w
zfQYW9fA?$LCu3FeqiHDy9a6-GNfW|KNC<diS{qNn|Aq=QhS$&`UZ5@|d!;h=wY)p0
z;iG}8oOU;05FL(QN)jnLqk;zl9aC3xsCb=|)fb#e2e$gQ=NtM}v7W;_Tuai#=9uE*
ztdDfSfudkbWpxz)epjrVOAB9h9#UImFrcQwZGBC<IvNc<DroJ~!d9OfB_C56Fvbj3
z$UaHJu3K$gW_M}W_t@u1o+uMK9IUrrup*;u2e0RY5N$l$Hnzj=A`_1H-n{XCo{Unz
zHs_>Lbnxeo-5<7Tnt|RNcYk^z1!JEHWqhvDLD>iGV_Gd{U~%*$DZxtveV<&<IS;y+
zkr-AJ6m1T#`yPK$7op-9dB>pFEnRdiHYe_}v4G1D6`eARsaWr7?;Y2ti&Anz>nj9V
z@Zv&*wvvM;9^DsYQT$04d6fOl5B9Mjhq#)3s$CN^%-DYJZMs;`|M-%@Jxl28d&C%A
zsfEA9)t>6a=%W2zzlXDNR`A5v!hw^cg?GiC9MRy>#q3_>KEA~oCRhBc7nsq)%>rRN
z$2RJqpZGcV|I}@uuskaCyBZC<a_40m4r=3Fsf#ua{WfrY>iN`qIt|-+NIadPG;AS=
z-1-#HhOaZ7hq(1<80m!CIjgkrv|DGXt2jV~Q1<RDei~w>VuKBrCYEm4z-8hLAfwtn
ze5qaw6`S0joyyX{^c=^Tg=m06uVBf~ep<M4+@bD=1qJV1C6CPA25^<B6pWeHM1yZf
zMHN~}_^V{*=eG)gKRyn9HQt)ISNPU1X&-g8teCj2^9;a3=+KUvRa8t?dYGTZuZr(w
zqRUy8%jfyLQ^JI(nEl=4(5}5oc<b(yV97#&zb5pc7ppXIPCIxi_n!iGWk|n&lL+uj
zzG~Y32nE9&J;Y>R5b&(E?e9K+fDz9PoRbA)RH^^*{9&^!&OPm(k6{526#D|^-jI-H
z=^AY=EQ4o$=DX4O0Lalqt~zcK#*kP4G(9DS#2wNN_E*?IUU`<&Wu%UFrP~;1K@$Hv
zN>JD+$A-mwm1EGNinCk3ku&#*qZzf?=x&k?NY>W<%37&{-}qfaoS%wffVW);@Yz6a
z-rJ_NT}l{kxcZgRei58)Kfn9QL2J;G&~)S3uZTJ1e6Pj?VeDjSi^fh^!TVl{&<6t|
z79BpV5Hu%*!tysSHEy+n$!tSapA`xi-8B;bEKdkWQyS02G+9E*!*1o+SpwejmdqH=
z6vF*VtFj|4Eg{0U&ZXgx93J#42)NTDgbStzT(_05;0?p>*Lt!Xnyvj~U1TSW+vgb5
zxl|Ttu+j_u_{icI)z30&P#B|x{xG^TEa33a=_UVVj`^(Uz7d!&f=v$&_S-61Kp^#U
zp$J_DzXqoEJx&wF+7aiy>~wQDnE&&<O`SBJ-DfWtcwY?LPdjgwRWpanZXcgI1xn+v
z*p5?nQ{vd+GabmAYX%Xg&GHWFO5@AvE>m}kBvN;8FIi`52F3qg1PiT@M&2=NXWt=7
z%rA9&$Eat*3D(VU*Kbm&n_2wobcqyx{kAP)aT^n2=aT%2zc2GS$&cE6UK(i+x7_ca
zXTUiYY5szQG;;r*yW)OC2IW#$67-W9kRRGWiMEl(g88#AE*+M|QI5I1rR6f`6Cb8X
zo{&aG^YwfaXXP+fe#dF=Wu7;b?5bFND~%&+*DQyN2pGCvN`yO&4#dW++28gusBoR0
zE;THVqHZF4&u*l{`k~sdv(II4#8WbGg*Filjv3EJ$<jf;Nqw|on=GoY{?yHgRYab{
z%#^JIrr^w(o!`g3%zx8oJA}V2|NrU|xyoWw__E*|F;*#ul`rpID-Tn_woQI*YZFYN
zj4$8B_#6R2M0(UjPz{GXyKHLrnS$!Jg*|J6<x$H0=Dy2Y)saewR~p%F3SA>6M@W7O
z$V?Z=2w;*hcS<xjVT&n9YIs6Y2oZ(i-rf15Ovckzbb6|nDG-Lw6s$>9#F5d`;T<9r
z^uKI-kSp92_QXE={;paHuj&0axrR#vdjj@)JV`c%jc0PS61kWE|8cz#;a?iaNe$z!
zX*31R@elGlHmPC|b!t=S0u`ZWDuGLQIS1LhEWTE#p{YY(Q}e7Q?&A{PxWkhU&YQzs
z7|H5rvVrGE`;-<2<uQG)*V2LSqg)tnBw<9;5$@{)G!)VKGPat<0E6aS`8xzM4z>y=
zJgn2k|E?%BmDV%Bc3WYYYCjo2%+%1uuIb<#g6>lLP9~&|^KO*BO~KyJc~gX~x_FZ1
zw}vcb2D7Q$dqn*-a9zMRy{TWi_(H)-rl89Vb{TAIx200C?vCrG$isU0<gN7D#!PcK
zEyJ<B-cQA8GlM<Nuk_F|{*bo8F$?(qo1t5MS`%G1jY)4@(!+1JO70H$v0$w8^Er~H
z7Vcbnv&nTq550N~^~swoVL&iJ-|)T`Dr^sPF|5$Ti<=_T@7P;`h@{hYA59u^Esi=4
zbM$b{E{;i(sWqgg`FDq$pdrtoy`JS|T{NO_-zg>9fX|C^_XD*w)T7n4DHrSD%(1e^
zt+O^DFGemQj?i$&%N@3fDcZQr>FUgj$830-d(oqEl!g~og@SHxpkYo+?N?p~K(gqB
zTVewZ=WAc@H~plE9g8lm-NyjJ--m9#6Hi0k6=wG${HSOa>ip-!Q-DXO>Pxw_Xqe9#
zycOO>!A1UO9Qp(Rr+E71v3xDmYd@2`mqEsthNGJf@^YZ|+84tXNiF<+RpprDb#>I=
zI#Adr$$<;knSv(Ed2x5UeLhW96~*tr;t?0;K=v~a-I#PL%9aLKP<55iGVNzJ?Jt0%
zC!w*UK?A=l(+q_6D&QxsjZ%rrefyKT1lePZf}`8kFhxJf;ZIGg-CgAX8D|p8T$jk0
zrZ&`}S15z;&@?#hB!EY{wP~3&85fg8rh-bPP(v;(DRB+Jb5k0}M2m#%EO(Y2mn1$F
z=(ueo3~(#B$XSi8j_j22t9+Vb`2P1?Dg6u^?i-95JbI#vj;*`~L+!$742kYti#Bkx
zyKFi~Pz81Gxk?7k3Zm;z3{CK{fzYesg?|H;ki}n8m=Q04k)N}_SvFb2SeJcQ>o^e`
zQ`;WBi{VEBEdG4Jz#7hExGrpsR>1xa2Jvt=A2vQQ8H>7X1=C(#J%+~e_+Qv(S@uyr
zv{6XE>+;hQ+#LNnft!H#na|^I2l8REUPf|_w<Y||N)TH3DvLbX6a~?1d`OzuxH+Vm
z1&y2;s`D=y?Dc2%eEQ3Wsu593gG?5<^k_wYCCgw`)|t)EF7xB|t6hB&ITpaXnCNcn
zFO6TO)21k!1hC+~o<S_p0y0~}dSaWTFvs!9WRbNX20yKDTYbSCR@(2~&}A=$$u4KU
z&o~O<&XYdXTq5Rhz&YEO)h~%*kFNK49~8!sE?68$FaxWF%keE|CGpYaoGaG#A{gZN
zEK*X;47ST}Pq?~K5`D!?gpV4Ep#b-xj>aoY_{PnnSYslIZ!+ROJg5-I9Er7b28juS
zcBkVaXp-1beE1fRktAkqDcW<sbeZ$X2j+z6lK9(l;~JjjzHc1YzCqZL0jZ@js|VdA
zQFY;%L^q!_zFnBV@Ogv|&uaI)J#t18Y1%UP$U-uBt#SLOBk{|e_q11xc`b?0LX5@>
zRb=tT%I~dW26P~t^w^whB87JQJuIA7%Hg3~=FNZJnZnmap^GiqQrJu32^c%N>^m*~
zDi1E0!s3nHNgs5iF|IU<wYx<gTe{a+++Ax5DIcsvztl^kVgEmBjy@4vzBFvvCus_@
zznn#+!euZb<M+AHJBoNe#F6V_zX?PQ>@qvZki~WVeO!U2${0)(3a`6w0{@+#({~e<
z!+d@rO|D)QWL}s1P=CP$7L|@&djCTXRpZKP+%Bu3^3g?`|DsI5Wm3G#VUd7smEBdz
zrRq2{7h8BE*aXx+`n<d=rho<`n6f*Egk(OYG0#vF_)hkakuxWvzv(|(NH!Vwi=Any
zj4^>z?!a(AsEC^kM2-|K_whRh`s?~LOrT|c-7S?CB_uy|eUbe{19xyKpPy_s0f|52
zryrWAU~xFLZ)*n?_16rA%ZZwTqr=^Kg(6jqDp1=@AJ@d)?E2_4o~H1=yoq=BvR@Ru
z07yW$zuId3V@V6A2G%Tj)tbVwaca_sNp+;n{L09c*2b_~Cr-v%(jnTnqy0`52|X)4
zcuuS6pn1BrO;Hma<P{DH@uiTl^xUZuf}$?2n7`p}wT}U^pD=GEgo1i<#SugvJ^U`N
zuc@ZV1fn2bsd3Ukdd5`4<90n<M=CQan`6SbPGd_Zg^F)F`ma1Vq>r{WYm0MUo577@
z``5bPsrXLV|J1ETeS8u`Ga6_xhk$C;>>HJuC}t!2Wz8xBTwQ)N-=on2lwEFld^(_o
zoM9Bz_A)@Pe_9-P$pQtun)gPThWmmdZ}*rP;96^qz~*5~Q0@KRs8~e9nl1a78J+s*
zAy)G_V$KQ{%U92)leMv9O3QIVQy&*LcU?1HvWA^kzU5qv)W!kLaFJ|FJ+zxkeVzWt
z2Kr_t7e5qh<I%T)NfFY^zN0D|xod(Aw`ShWila6bOK_?y?rS4AIg8!p2@oBa(pp-m
zjrq~SgG@3FJ=Gs3WGwgp;DYMTy`kC|oV(NdVUQ;Nh}|1;jfVp(+W5@>Nok|SheK)h
z%YHGG&^NS~#Q~qy($lMwXn3e;YBZ*mj4=rdUytnIK>2O<RoZ7Q%v?F1Ub&!-%BAmQ
zM?*RAi8AEirKg3rP3|*u+*L8-`gN5(VH~hi#VyWmns~s$`~YQM5sTM9-{j)Mfw(`E
z8x8(coIK)edap?yXaBo?$jOcaOK<WLT7opN^xm(=o-tW`9PDiEBF_QU>!b9|ffTG?
z8<FsHgEV?OR}6U%0_<bl71rKG#!BHVp$sWW6l~_6K79+|=C4(;dF~|qnfEE5$3YbT
zmc5cG*#?kgf974yCUsQs;Fbv&62kB=cA1G{06vmgq|6dkY#;em{=%0ZTh`p%vGp(;
zbh|W#w=^o_fOhBYl(oG0nR@7AcDD^|6>V6j@k0^ihP(YI%6M>djl4b8&;~wsNM1Q?
zOT@IvP4|q>bEEGchxse<)=<l=NbD|@#}iMSyLei-urf3~()GO+h~Hz?y`&THugPFw
znl~4^^Xkk8m{|eeC5ztm?`832v6i8kEf*#eou1siWC>-S_5oM&WbmPF`~kP!To~e1
z<^5oW1p~+L)c9PM#t&9UPuC+C+EbDp=UiFfu$Qn?Ekg>wy=Z?{zLp#BY?nA*Rc--c
zo~t@W8zqslk5X04!-LVIO5^L*EMQj@LF<-;B#syM=7kRM;1U0n#&>7U!EUII$e0jE
zuhq=FFTE@9)LfO^i9gGGq+Re=b3zOcvXU)TXL->l_Hg{pP&4=_(QxvTvKaE~liH>=
z`H@#Nw*JZ|CU7~)?iPv_#rTA*SCj|=luI}|&+uo0{vV!0c0^GecDl5m`9ToVqa!N3
zKQW*tS*cKWKm?P#JE#sm!U#K9eWsxdNMH3lda_jn3AutXfB%W#IVIVumw)J>PFsC_
zd`txA2$jrZkHyfv=lwmu^K?iVeEqveTNGKd2mfxoAc5n_Z&~UTI*=>MxXQ1H;{IUo
ze|mM2xJy9N*Sva}|Cc@vG%WXtlSNMDeeF^hS+$ioyWGQf*Zhu2{UC-xK|*cbpO^h<
z?#`WbK2rc~U%h|T;%GAA^_y!scdlIxT6>|?1kwn?Z={|}pb7U&f{>3KZl3tf&+=R5
zaHeCXbfhFEJtaFfR}ygBTY|3)$pnm3+P?Tuq;UN?<Ap>61)McI6_@|f80cy*7kh@J
z@XWT<*2D@T4u8!z&L}np<QArWd?1ZntCWHVJ(O_&Y}!Qr31isu=BWLO8!{MEwTI|W
zR6+ONxQ{oyjX`^hNMco*EFKXlOsoB-iVHu8Z+ANy!{k!_?<>V}_@3+MzvM7=9PM=5
zC}d*{n-9xP{_7>+xo*XRdyyneR0~{xmu(DPc3Y!86czBeXz$VL^JMgWx$9-(I%9A;
z5}DT@Mnt(o=gP;5D9gFvG%g&x+`h7OoTG;oajpI<^H;qZ7+5}e^}<bKh*!KA^Vwe+
zV-kP&rif}H1>_`d4jThQoF`{5pDMOK^;W**poIo(ANmsu6R5tl`$lcK8qQre9oZ5~
z!(FF-PI%;)0DI%l#|c&HC~fkPaiv-tUr1k69n@a-xcYqCkGUk&X@AdNoYleUm(#j|
z&rM;UqtBYMR5C6_tD>RevM)3Tt2IZ`!AgMtV(obfZgyMOKcc6POY5wIoL4cR_eQ~K
z*OMBkX7iZQOEy4mW6d=;^_d{ZH@r$Jl8W1iF=8@v2KY$DN<CHA48+$O?56l@Vo%tc
z0P`z`_@#q~A;&g{itv;A6lX2u8aw>q#~(xNk$lzO?P~!wPlb=MC^TFU`)})dX(Oaw
zVqDyt$^yzv_Yb>eFR0xXW;)JogeSa3$!4!D;Y?nU!0+?gXipUkCM6ppRZAi$PRbh0
zOpII26?E_@UqIXR8v`5>*NE*}Z39nLTCT8;>7aW^*ZMaN`uJia&!ln~8#ZzGw|=hH
z!54!A?LvF?(3i{cRGBS+`6~O>rmuBSy6Ha~|27>o;WO~PRs{fEuX(kqbnq|lX*Z<>
z8vZM>z89y-f!E`n4V*|F)UMrYK0Bw0_nFL*-%%WBs~gG<71F`r${YWJx;5}6D`JJ;
zV-7T2uFH@L(MBn;lbS_EWYnUbTGAZiz!OQah{k&~3>XY)UzwneUJ0wXlV>^5G_u0R
zsZ$GkNJc_8zAB@q)bX)_uN?T-FY-?HwI&*GNW1DFKtyu>;q~u&IB>B2XtQ-K758|N
zY&wJFP<a2TX9Fc1&|0iBZ@Z;|>f-aPHe+c#GVsMNB9a3!;pT3y4p1=WaaL<~u{a9U
z9Q(7<j02&*GF`tM$e3Cl;;L0Agp0@4&38^Mue-3O+ioHWkGsDfh`zDh^D8G*1Fr#4
zA9OV+epJKeFY~!$raY*WZgEF>d7cJ)o)zxPQNbyNHsR8lrJ56$Mrbx2Y~b##bnZE!
zgu+AT_C`PWRik-0@md9e4YYR+Vthx5C>tC1s4VG6%>&QS;_>Y^kQg`AyERoFy$bjJ
zc;NNDre)0OTYQ!^&~Dwg6zh@0e|5FxJO9nqJoejqba=`NY??+%UMyL32)G!ivth1A
zS9&U9ifIMs`$|SjYnR_2XS1!GHCMBRt!v~IX9=|2NmgU96qa6VPBXnVS5vg;Ex5mj
z1u4`wE?ppr;Y-(){P)e*v@48dmguu!aH-X5b$~cpE|!g_T=-stzaIwboVEbJ7;lO6
z%c7|MJu%4f_d-qB={@Ct#?0Z@+sgSJe}&Om-m_Tn_F|14S3rUB8gsaJlk(OuO9*qu
z6(l5%{Hj@f>FBZ6`(~ifH2FO3xFC8&y^{ZV;!n+*O47zw6*JJ#x-(*zEPy}bRwzf7
zF4d&F8_XIcGJ&EVzxhWWKeC47%>_?#p-J<Dfmt3V43NC*o~+}?)eqjc?0LqG^O5Qe
z3P%_)ztSM;?F=90OFaLXD76CjKxSd~PdaGzludnp%7=Tu8=YNwfENWi4!y`YOoyuy
zktV~%d??z#DzohiAATyc-YLsN2Wbu2m46%g@P7aR0RR6Cmv=mtUl_*iJ+t>-FRypm
z>$!Oop;8&4LJ}F#kRmCe6cH(sLS>bZvXbXSA<0kKQba~%%PfBWz0c=!{y674=X-q#
zl8adX1$Oi*;cSw40u2PD#`pBGvY{@i)T&F$oG7htROY=j4bE#3Dg%Ak5CK!WA~VK?
z+FxTQj7zD&TYqDn={FlX_2KX2!A2hRp~*S*i47Hy^yN0A6m|sM>Kf`zd}w^oHbwsz
z1*p%TKj1jTfu47S$L~2SfW&)B>d6TdusggrsCXwQl0Lkji{ri^5^QFT`KCt!&t0Of
zwJu!f8L!Co<*scgtmK|d`Y0JZbsar;ZgQjF9Xs<!)P)gK|Cb;C-6w;`hts#q#&}S}
z;Tgm16cJS8U75+~N``!c&yL)_d?-Q=lV1@RLvjus@J^NtMb>%+_8bCerm3UiS+zJC
z89tbh&`kolbk5Uha{}nJ77M{QOcK?&k{{+@Awm7I%Ni}Sf+$6@pe5f$8WGie@}AR4
zkgfAMZG=q-l|($rdFmpIEP|=&RT3naSq?26)DcDlnRS2jOy!Z6zBs1ML4xm;n5>d;
z5#;fpl`G6$0SRS<EFeJ=gpLoSQ~O2HeZf-;%E^kT^Qx`qIYSbRe~;>rb{0nxGLJ(9
zJC#u0y-cN|C=z5;3dv3UmOx^@%N`PHDk$SAykVK!+CL;>5oJmtf##asM`Kmdd!?Cw
z)a_)j)6DO6JT8N>J6-)@Rt<G$Y8af#B?DK%^|q$na_G**@;56U8c6qOld8P}1zvJ9
z@nE^~i2h>txu@*}^onC;{9`!<Y!Y*$SBn+U9<>Ael`XVTIa6|dnJ*Rc&YnHoRHulV
zPI(rg$3(<er&kniK!fXFydGlxN~rM3CjswyZFJ>oF(;Rr4&)mzRhg|Sqt>OD<vRq(
z$Zu{iJ6uN>Hl(=<eu$_dlKpwLx3|dXQqzf#Kiu`;<$jyWFrpfIJ9RAR@G==?JNOeA
z^7P>X@72{bBXy+tyU`UHQIHc+!h9Q>AsFB8Jt3#Bff(H+9J(ASDB+*WokyWYklj=a
z!O{eD^IfF%Avy&~&ayPbE*irf9gdep!vs`QI;Rl0Nk-xYiPp=fO`&18&=h~HCW=n6
zEoZ()Ml6%zM$?mKu<J!DukAlg^lz`P+iW!n9WLOi>r@9Q^-~S~N7q6>?)f%fV%0_i
z%e&%rKLPBCE`25Gq=njV-l&;a(?tCpzPQ9;bMRDTnY5&6p;q$i0*R*@$Xp_lxVPIJ
zZgt1W@ONsWnVz7)I~r=}>*6Do7F`P%`(eb%Mb|_OP<3tNhB7+PaxbDI)B^6kJ9@bK
zA^|lxFBn;kE1(7SD|_WKEg&RHzSucI1C>w=O{8;W(Z`xWyNX;3*!xvh?PQ2L8hA`9
z@UD?Sesx!Gy}x4t3Nfz?Bh1v$L~A?8dy)vcTsHn-d$0xEG5)Z8WL5=rHx~x)6c$A5
zF>f0S^(^4U^}1@#6lL_1d9)&Wk_+YVir{He=CB53qbo!ubi3*#i%=;GYW?kUCN<3*
ziho-@<!w?x>cSN{Qj;6_Ef#H3zmYjay!C6h_K`=YmMxo~J1^nN-5<M5y8(nr22wr>
zvS_fEaOeo*41WG6gNslwK;I7Knc^fV6dc6U{@}z<`~|y6m?=AeSH+VZ$%+!_$YxYk
zy-F{>@8{{~ZYCInt@W!0d=*8~Ipt*$>Mc0ef@si$zZvYIrU|px3Zs_oR%7&n*LaqV
ztyum8Q&7>1J^kh5Hk5B8+9U8W4^N}+e4pBB0$FdT56ZC$B6pWaLx1;scy)C7@IFBk
zh>kJye))wDH3iC^Tef<HhrRZh*V|_dhwQzCBB!|#r)A9d5wkM9u=wchV`)Yp%1}TR
zb>&2XrY95a{~+9>(w^_<upvkayte{Dc2qxLnlPu|jB7m~s?5+a1oU9E%88#9Ia0OB
zxglS0saz?+!0QHZ(v4+*#2#jJS@1ymRp%buIYUE)GNKO+Uq9b%ZDB-G7oH3HWq!xC
zXLJ*5x9fwDYTd4jQ4DC<jyvSZogw_4e`?R~d_BltC{-Qn-oU#SL?3-$8^OC5tYT9I
z^}sNIySak%AMQUf%>ZYA;V<QMoKr9Af;#a>R&eq<UVB>UOb*)=ZWQw`w`E2LvL2nD
z{ph!b-*MoW&~Tc?({_a2k@MC8(?Zu)%lK71T{FhDLuVep!c@$2_B#zEQW9n4=T>k<
zosJ!Q6&7*z@W}kvZZrspYIHhsdj-EX;>zhDyM(iD3n&}tr-Fwd+y1VTE4ZYfTbn9r
z1y6F&mGAVV!p`6iV$88C_}6xm)>P*;Jku@pe)0qbmOUw_Ra;l^(*d%6gBgGE`!#FT
z+d?V8Blw+L+j<qxH#%{xm|+tSVq4aCV5h*+N{m;@{3`y0wwL?bdj>QraR0Dt#uj&S
z8Z}2-)^I6lryB<HOz4}LWFnD926x|gl*e7`c+A*IqkSpN$i?w{S4AcXuAl$F>m=|G
z59HC^m{nj!RtDz|E%s}Jg87%?)vyhG_lt{z-v6<oPKKAqcPekqcU~Xk<zYbnQjl->
zkOOW1`0*s;86wmq$EHmzG9Za!)pMj&F2sUed=lQG1;1x(9gnUuBH7Th99FM*&>ou;
z=SkXHVDgF3DImp+*kmjJy<z4@Q`5cOCFz<lvfdu`!Hor-YML9oS|@;1%F1|O@oR$A
z-xuwLZ&*=MRd?d5>^79b7#%NuivY&)WqX9^>?pRe$Eh$~2t`RprjN)HKwwt<Pxdqi
zdYN*{UsYEG!LTU9!D<a?Y1F(ytLH*eq0<}ei=s$Lq^@W6s0LL07wP=Ho(CEAeD<5{
z5l6~Wo5y41H6Zz|`IX59J~U0G*d890M3-JViHXmsgZ-<*ykk!V5PH}p+9WH3?y!mK
z657>)AxI~ZV?_}C$Y#7?6D@}x)_eOu{7)Tx-1`!qcnTrT&MUYrj{;I;W)f;2QwJLF
zXS0o8!pJA$O8lV{ipa8Q;NBxS4d~pR%~O#qil!ZPSN+D7ko@nexbScdII8XO8V-r0
z%p~@+!{=3yG|J?1Vj#f7^BXU!Y$OqbZS5Bi1vTVsU!q)7Mu3%z8ao=@q)}>a?i1gB
zb<|<{u(3Qt6N-Bdb$TbsqME-qqm=Uq=-e@h#*$hs_&e;I*nL_aMHXLl5xSs-W{iIH
zTPSJ6kWKW_k6Sz~sz~gt+^>x$=N3eV|04nObAH1;Yl>(e2X;kc8yU&;MkO1JkYU*5
zpl+SLGGbQq3;R4vMhkMXv`^ersB`l6J727Vo~|i02h>u~SspDhu0u2kE<MYAUr-Gd
z?HCDhKSf2Gv6pgsdUU{AyZScQNp*D8wy9NwnTFmGX4=RRdZ2%4f8&7$4V0Updotu0
z4MiA=ZohA705`(T4i0l@BAw5*bJvn-sQxc=^Jjt)uw8T+;v{Jy_KD&+uZuJ^Y+Z0K
zTG0faxAx{IYZFoJe*A=%5)I)}yspu5W)SpG!`<*75jj|&aic^~k@x4u7mAz!B5KX<
zp0~77>)M{U&+!zrIQ@L>_aZ=^N_X1VA#HTy^-dukXEKVs-*rB>*&M73zfI&#YNNmM
z_ry3p64BjE8@_u{7LcXJaw0Wf8$CMyPpI+677t%Bc-$AI!#1f~g}D;iC^XjV%f7Ai
zcotpin-@ig@0lIyY8FJ)y&@N*7^#HVC1l8?_jHi3veF4u*Fw66y}qF{a>(^|3ZKFN
z9eP6KUhVB9Ac=nrM{H>l=upWVB)8Kc-oMKG%zh1|DwS03yS5Ew*XI?}^5~G6%Vc=`
zxf=3)y1zQ@6Bly1@LZ?Roeq6+#g`}NRM7M8m1Q$AM#N@|J(^&m!#z6j8c{<Tc~$IV
z|5-hU%P<>2=@yr%0_#ru4l5!L`9SBZFWPV}{#8>2c?+1Yu0Je#PacWVE<Fl*(}$VZ
zlxyC6WWJT>Bgd>8Wst%L%|;=Z#`HUFo*h><2P477pHi14(O9}-W5C%z7(IONqU{ra
z`l`bB^~c4KyVjNIW!5$9Rpg^-o~=I9{YT+hcC0XpJIQFRA@>hEm=N}$*$sm{zW*F*
z`UKIkHfg6E&nEV}G00vq$P6A`FWh6-%7^%^x>!8f8Q}3x-fsifO<}%SYO2nO3*l<R
z4V+{KNbio!#)?hg_rAx8=WW?g-lhbuB+dXeneq;5{l*|u-RokV$Ap?{H+vlOHZlG~
z`QcWA#=!kzs4Km30}uD9qqL1|U~i_z-_mv)!6*s2R4uIFF+XS1zOZg!({9QiPbV9~
zp|MqXTfcz&OV{x&OZ~$#t&Omo-wc3m@;UyD{WPvrdnwAq;4kK2mL9`TGJqkW`}?w$
zM)C6WKd!yU*0IW624@mt_2Iz-gTFT$zTw%56JkpxYnUX*&{Y1g9wb{6F8mp3!+W$?
z&+L&|!`|&2CGzdigE~GFhJ*Mke6wO%<Za0+mZaNmbEZfawvig5ujrRyHuq%TR-ahK
zYTG&O?@Q={ZmgNL9&-!UaMap0$7K~$JVwyAzpevXj#Bj!PF>hr<9cnC)2o=}{AQu&
zCJhcqUT(fS{|#H-snr)&vx+gEkUd^-jt0$VW?x>67{Y!UW^ZKZtzol1+lASdsKDA+
zIxWyNf~5$pww@ST!y-M7Rl0>zL3Nr<i+g+=3wFt*PNH>;Q2cLu%3lf)8rj5+CnvFv
z)bMQv?SHWyCnk;W#Zchi-%GC#exJs$r>E5GB{wh`NyqC)wo%}1Yw>FK=qzS+;dZD)
z`X*Ky@GWjAhYWIhq=G2Vc}$gkhLV`i0AuMy4H11ZNSZDG;Tu`N7=mlky>l2L?z30u
z;ubf*a0m6-ZRIk?uG8+_YbMb9LKr4?YJ=g~U}b5^Wz6qU?T>3q%<xe6+2U^@ZFq5H
z=$}>R3U*-4TdLoI6?WNsJ#};?!m`no)Vt5tuxfMdF5O->C@<Stl98_ki5U-netY~E
zQ*kRe=@H8T<$_n*SvEC6oa7$QQNMwObk#fvcjp3^OFsO+4{5@fr_+FFECYyK<Z|Ee
z;Q_|^Ps;D#6JQ`KC84E`5$1Pa9jbW52aNqmWAge0;L&^f)L)Vrcy1RT^|>JcL5u>9
zFJ5Q>>w2@nU?K~+1nLV63<<*Ed{UBwp$7OC8MA{b8zhl)((_z};O_u^NU%j6$eA&(
zKMk_OQd3xz)gNJy+Igu%Ge8{_=aI=;9Vd9cCM_I(B?>$JAy!#R9UhyQh#YO>hE@JQ
zX&IT~V0B0hKJ=*psp5@z2M-_Y5|2KRS0V{2cZRLZiniA73K~k82|(!3E?a>)Y1rIk
z{LG!I2L6gX7p-myLf*?vHFZxp2*^)+qq#L_`tb{2U=#vvzTv<CMg`yuPkSI%ss`~_
zcL_=*3q!h6;jdTzijcJZ6LZ&ZHL%saxq6>23Ta7vDOod0kS^e#%erfe<9iRLtB8w(
zLL*_dDqaO7>Oyz?>{5rtwmcU;K}m?`ZhimKTn!Fa))RLpX#m*BzSAX1LwuXOtO}0?
z5X*PdUPKZ=HfYrB(<xbqQZ&-1juT)#>+840r<$O5^yXkfpghFniSEJLwBW>XAx;x%
zBB%%V6-t&V0QZ#OLQ;)3OwX)d%;?qzR}zo41BVjaB+nLv?<IqDV5s-5Q)D>EbS@#;
zPZ`#yPd~FXrhsg8&D4&^6o@qNE*0off$}N8u_hrZa2-DN<1jM~0<}D&-dU=_k((dO
zTR&6bFY6W7vP2!=ON|<bGIdDkI^D(UPXkCQQn$6z1A3f#@-tBayf1#`65c@rjuNRW
zH&hH@M?BMP*D+0~Y$F9YG3!8>&esP>(FoSA%{zvqYk}Vr^uA+?23bj#JU?k$-tq67
zUE(7mcxB(242h>f6}9i}Ya25-<!f&w6{Zbxr>pJAU#YOm?IyE<CV-_8o?X9<1YynR
z^uqcmFxsMLvRBa@G>Vt&>yDB@RJ?j>Jdq5=3&fx>MhobY6PTzxP6EB4)YqOo+HlR|
zu%ZvL0M6#*l!LM)$niLSzAudcuOCwE;||ba?6`C1NR&2&-I<V&_@xTZgon@8Z1Hsd
zd8L_r1`)<PeB>6Cl|UnH{$nQFcCe{Uh?6~`1=&RttTThMuxr#?JW6^y>?esf-)GeX
zu1jRIwH`6J%ws$xz`Y$39i?kE12tgWNpOGhQ9(Fk(l3_PO^5DV#H<}#dF(Hk9l2@8
z4vgzo`$DeK;njfqgVWztz&Tw(Z>)9=TWYe~C!kD+xWa?cR~eMyqTkob`zk-NY)$om
zv=R#_8)m*Csi+9~wY?kH>{@WvJMy&iGz)OJ|D>H_ClB14A*DI_zi}OvsJq&w<{*~v
zSeD8o19eSmVkHljaPxyAu?9qQIIfl=*H9<{I_hsPr_}w$`P{CaClmq<bMjy1xgZL%
zzP2%Y6By8^n{8enw_=_i=c6qWBLoYJ6*i|f7?J8aSMxbn4E`SdJQUd^0KD2{b^I$6
zdLQLW#{A5H%e%R@FM$W_ccHI|R?H})Wqv5+iYdf|OP6<Tu*1Q^V@kH}%;@&fPqzuV
zCeZWrTh6lqW*|s*oJlrjMvs;Lx=VgB28#y%j|T}1;G#}{oIA^e_?QwK+u4jkd7$lb
zSn(=WgNr{LzsZDBTyws*(v3hs%z>jHU%)PYieT|lVnSDEk}pJDGXxGL8_SM~-`E+k
zeO30AjL7ar(qqRC12`A>#6To+7;D_e{65{0amyoi9O_mzfUb1Ys~P%T*vW;5#&kwT
zbZVD!MPj5r*oOvWT;P6#4dH?spK%7%b=dZU#CJXD$gsyw1y|yI?1VS>ZZn`ZTZId<
z7J4ALnMNFx`GWK5859X_d98MZVgCN7y5LH6pc9t+@$bDKL^k3WP)OpTv9K-9I?3!e
z2nra+pB*ozmlQD|rXyVr9`QP$&YT83D`U9Bv8e`)X$F+KR&}Iz>-{}tbz~*de&e1+
z;?kHMBl5q{-CG|?gT$-i<)_4F@#c{piLxd}^qOfuKPv+bPJ0+$_GFyL-C~rqcO7Ly
ztQ{c^anV$0l)LmMyng{tOyzKxlw(HyiYeK2UMg4-xpFK@|KJwq*y57@GNbqd`r*WT
z6tJCcKUN;Qj9;#C@eN*QLED@!3s`AVAnMGO>Hx1*{KB82(<?G;$RU<9`7R=Z^WppX
zxx3bJ&WfT_-QMizi(<oDqAM95&&A|>+y28jN{V%vJ2?=U77%VeOM*Tp+pNeVn|QZ%
z@I*}@7s`HND5$7Qf(!fNdJeQOps(+ug>F-MkW-xP)BRVp0TU>0@7eOrhNaPMzN&mk
z!1aca<yRscxvabJz=RpiZm4tVs0yH{b0Ta}rbJ*&Rc=ka%YyQDe2L(25Ja3AriAiB
zEihQQ9Z|*0hHkzkAG`fv8+vx&&9^coEjVeFk|3SKj{11UyuPvvBg4geiRTM6!M@;W
z)TA>fs;a#CVEvW|>Wv<mGBDMI#4M=?C#c-$W5c0-WlRj^Jxm`sJV*cwaqI-AE-yN}
zF*tWaPy%sn>^XV=HUZ{!3R3mG_>rcILxc;r6smO2%$ao~fR8~S3w=-k@lOloCTq)}
zGsn)1zAzxb8$p9{y81R$@khgT?SdR?;%wT?Boel~+cNpc4Iva=(EVs}T^{{M%+2pJ
zB|!E*hMK+HA}C$p-5y?hMRZYXRE{%{0MQ5hymJaf5tB>Jr&rZV=%De8jWxdIkEUIe
z=RV?S=N`d%OJfyu+%7!Mz)%w={|tqM?~p_}tgk9}x2Ym$wyNCa0Zp*DT)ULMLmGX^
zmuT<|RYzH)6PLGDX~7)ZlgMQsSyUHdZuD7;fJ!5C)qI<YVB)MZ*6ARR&Lp61ev_KW
zVTR3eRe}U-@;!{-qZN=<QcyJU84>w<?j!!^M224f<v{;BMfA<OFjwFh3FR@P%srM{
zd84G+uyHFRfmp+e(O5EaPh0t#;z|Y6;;9z8n+n3~53T>Qp`iQAQ^qZKX%Ls1^&|JW
zDr$ImVW0jo1zBxa@9O`n1OKrxMql4lL$iN$-icnJqCa{Eu1{Rm1D^u7+tOAVsHuSw
zcO0Q2N{@QSyp91ZIOn_zjvyfG!B*COVH#ppj>ro9X9#lRm-=3$Ya*L*d@-1lhVG3$
zc%j&13>5~+{t?MqsQB!SnMXBL6jhr01FJHHKdHy(9S;)`dq9808v+&8WLrX0G6wDr
zDRtJ1MAT#Kc0GAN1$mfii@n(TpLOf>d+*w5qc;&QG+tveVw<g;u0LlE*YgIh`+91l
z23+Mz>=z=62srcDN6P|k+SK<tle7`HTwxG<2LTCZ+dL}5EugLE*ni(%5m8pWR6Dw>
zh76oyz0YgYfp5*s`NXmoI>qK;T4bt>oNNtF_nxJL|2z0%zp9BoY*(XZkI19pp$CCt
z>2%Pl=cnt`Z+UFxQ&(0ODOB=<H|Nq_I=JsCmbrCU1D$9VF12zHK^OK)++PZzLuFi8
z+HB{R-{zj1U`70hjdSdchanvfNY^J(byQJp(2as>B{ozNTGKBvW&sr(j%H(5l#vdT
zO|MnUI{w-NM1rF&pfdW)d~>TJdgnCy!%65j9%$j<wO!N##Iyvh{bUr7o&2*2^_~Vi
zs65H7HOm}=OPbR9r(_Y~hijAKST{COx=Z!4nmP2%y3LB#NukziCE>kie_>du?0v2x
zfd7K}Ld1|blI<ZcIlr94a9z!HudRAS)vkWoH6?=B%nqS`(jP3^DKWJt6ocHadPJr@
zLMU~x(C@?PW$Z`8eJ`FwGoW?L_c@ISpg>A)Sv0<ay}?b_j~AK38I9(ORZm`&KkAZI
zWwVN<F*x7>?Iv)_yzEeoCnuUH{5>FHxr&_#l}jKont;pE!SrA6Sy6qw7jt3P3T9jO
z*yg65F+553Sd@-qLdHtZquk|JFl4r$4?ArH6L-7R#B4V4JD<Xp#!Z&7lS}-{Kg$iF
zHmIDVUS$pc#zl3FG+)BrHobKfXEcOh*5oy@yMOTbd=_J5_6O@wSz0)|*8tGtJD)}p
z=kS^jTn)#~7qQ5~bDmjw`f#&}cO#MIH}2ki-dbS)0(OZ*^}PwRK1d1*4K%(T!NYCh
z-&cjrV-^c>vwywx;Myyl996SHeARRQfcKj@ESutg^4<qsD51;TSgY^CT_^57zbHG0
z-E{L5=%(pHo2hd6fkQ2LIPJntENd1EB#E(K$kBnF?>HUC_f+FWZ5e5s^jWN`QbyWE
zL}%;5!kTGUeX*7{p7HZsv)I#+IYi&;o1)`N%`}cGENlaJW*VQtERR%Mh_chR{z(-%
zrtn5=NyXz*5yLFju&yau97BbNd#yLv@HVVs_Zxvr<gNM77v{6<RHz+Im&<VP#Evmu
z7>m3zi;XdCjMOGjU^0qQH~6X-i{o+IXj`4dto64KGl@~)cIZxCzpiiCf#W3=4JmV&
zHOFFF?jtg=jyaZY{u;z;V{X*V@14hjGmgEvLnA}cr^>kbfgvoI>y0HvcL8%gzIi7)
zfdm~>{7(FxKe6yqZ=N!<MJ#mfAg6A%Hlz{0RdlzFVv^rK*|P=z!S1Af<58U=!bH)~
zZ~wk=Ovv;@p6tgZtWkL1C|#8ZD_pB$`70Ax94#>P;Jy`%sfv2|lJ}N>sLrYZbqZVD
z^=tQSjx|gt@~n4zp(YGUb4B(g%wYdHS{@OdTgR9N$P>m(1ZaJpTPMsphb6SlyO#5B
zVCDDk4k0T7XiU~=FnP^m*~j;{9@k-jB0J@~rygp+eC&aJSkD565q`0jUSfnb*)Mtl
z|I{I6eM;(5z#oi!{aW7n87A;^;H&TSREPG~%R@y<%a~5pJH5dxEO1Zro7ZTI8YBwN
ze41xm#WpXuHoBOzfwU-t!I+sESbcI|eaF3yQPXa|t<>azz#nOqdX=i+G!)=BXZa7K
zRlGBzSaE^WtuG(#3{_#`F+a+EwTTH2ZNwi;;{npIz+Aje1$=md$}ut{e7@+NWUR~&
zDohbsI~`Tv#l=1MEOVJ)|Jf{esTBd(WzwM1Hm3|TXXB72umH<~$^+iZ+rVcrbILzm
z8Ln}vuZA(Qf#%PwVotI!_*mS{+v<*hJ0z$xOtXXO^@s>N4p9*MR%ac>uMCTVwFg@`
zxj<9x>}3+KI0U80%ijE<1dBKB=uusGfWBl<FJ>VL+`al$Q}30aM7${zALN7iN!D$L
z3Z>!X?aAkXxDp(29;T*$5r8-!RerUdauE26GVA$S36|u$gvuPZ0hh*V+yemxm}}|K
zui8|C&dpaz(tm|O^@eWck$Z~ZYTSHVV2?6<AZom%Hi<yc7|wXkLK!gg+rjVODMQZZ
zsdSYZF_4LETde0$g^d&4G0Z+Hz_$Aqy`xtGR0|u#bhf<u*h}TjW)oF#p0^XuRFsBr
zhZ-~A2@RN&9P<3NOARcRcTLIPl?A_%nQL~NnlP-Q&-Oh>9d=@I8Q~f75Fd<BJXY3*
z{{a91|Nj(McR1CL7q<7_d+&R3-Fxl$9J};IMhS%|X$d9T1C>#Ub}1<-geWEBbFwKT
zBn>4aqq3u9{QUks&-<Knp68tNzUSTId9x$KUJp7X_?C58)PQNNG+eJk0|$D$4y>ZW
z37gcY#%Ohz?XB3wX=MZ%_ZNSyNi_i3n_SL2mo=cYDS*w<i4N0!K~eJ$Xz*K*Xn&rn
z1&peL{)1Kwi1SYuWwW3|oOEzN4Mhit)iHa*B$*KR&S9yTjR}ehLApIvy1-%FZa#uc
z=*i#lv3toFN|lJEgRT_l<Z|yhLN|tE)n1RQbj)BNzAJk}H5Jr&GUfJdGKNDBoR=OR
zuz>23__7)a17P@v@ZMa(UkvE@<^6FLcs3jT2gZglxlW>dESCx5f=0(fYzPpYVR+r=
zrvZ2K&L2?202g1UVWHOm45#A?X5KVVz9zVE>nI%x%DQi#@3n!pAQ?rw7#cJ&lp^PQ
zX+UoMxcbdITj=gmx$M1*1_wCX!YBXf!x8)G#-AB>khnW1S<#RN?m23PQXRU`Z0ej<
zV_^?6YqK5;Cm2GGV1Y$kv?e(HEnRc>jy<RmW~Jvh8^GuL4L(+Ks*n#eL{h6g40^pP
zTo|N+0!e-vYLx{C?f9{|W_##6^K>NEkOGTdUN)?JVsKGJ$BgT)J&2IL>)F=mLi${;
zt~ZqnM2a7q9$IG)(N;fvJ8ZO}C{V-J#&L#V8CKg<G++lgH^cXmI-0<;IrGxt>itA&
z+NN!_+w4H@^tLw?esy?d)e(An;{@4zexpv`M_b@l6`M|*QGru>CQA<gEt0zehVK7a
zV+*HTfBe4qSrHC=y`+5b3On|@3JPaDw*j~1Tzcn{EI5AL7}0FPjd=-DMY`HHu=&v8
zVgX+%uu2V9vwOvhKZ&u<<{JP`$=6E@X2f7nbU!rh=0`*OW1;=x0Ac(L34{B>;8|vA
zFtSqsGrWSc47CWr#gozc-+AHony~bj-v#hqmA{dVku^9Ke07z4%mF-o4^NOBf;ikX
zXWOva3c{3vBfW-}iBn?D^~`<&JY&;Dr|(_`X6ZS62HWO{H>;$U3vUQut2ul6%Nv$3
zUt6hsDsG%8l$<Q-wH82OmGz^E9TxD%kl^d?`bO9vSbpO4l^+GS9cpZmw1B$z^(KlT
zb;NAVMAzIIe(XAJegp%}LF)KKmRMLVxx~lgX=2Nd`Df2<EhsjFhN;lX)d63~>q5nR
z0+RgbC)o0mO~?!~(gnWP@C=hXD*cRKaq?s4S^H1sdrbjd?=lW?PLQ#S!!Zsr{OG0_
zK>yKY0=u@0j|$~YlaIDY#+`QK#{?SN(JFfr*zjsi><srDS#%-V=lNrP{2bZadF+KT
zj7UwJe$t*N*DLFXB{Bstk6*8I!pIo3u8b#o%Px{unMoG{2L%u;x)=TwGC^z0{PD@*
zWs>jOfJ4|TL1YXl9X@T$1oaQpjSB9pm^bUF`=L<?_f-eDTp?HP-l!!1S2i2o-u8P_
z%d#*Y^HT4myD?xQtKj6<MRvS8vE|a5A`x_E4QkjoK!@wTOX<npoVdX+(xl;tC^~r`
zzjW+49fG97mh4Ko&?-jhB{fhC1+O;npHZR1{<a4U32h#n36V1Q-YkwpuGf*adL#IL
za&P6k`@Hzh?pvT$lmtH5xk|bq$_UOhx(hN*_^~3?F=*(aB&O=L<Rs`BL5R9#+tV)s
z=+X82)Xu+BXm!Q#(Wmb;80|m5uHvo`o^E1recLXB{Axk_Omk`QKFy`n*+v8nl`Gi-
ze#_#!D!0$8S9rl_UGzVOtthHnc%}De%HyWVw{7oTX|R-ajZ|JQhHes%SREr2F>>Dr
z?$;~4@ZjH<Z^sXdW7^F;AH^-os3>ccqNhNEK&b%j$0ZWTJCPmZUaEp!3S&#Ek~FwZ
z&szAxErpbX{_eVVReYmXFv7Zm4-@mzRSB2IwT2dQ`xexYcdXPL=rs8H>ohk^$lx_~
z)BQV)HBerw6%Y8(K+WH}jXW!dV~Qwma6}WC(gtn;X*Af(+?i2ku7D9%Lb;b(v~bMg
zjQ^W&G~k=nSZ-lc!bXRrx|_N>_$HUlD&5ftsvV`KXZn<Jz4@(YP6@iWJ~rS?UbPYM
z_vnkzf2!b+XiV9$VLd#4^d0%!mkyzpui2Ors)#8`UO#|}!O6J`)`AQOy-{)Z);~2|
z^D3HSG*KVp%WRZ3eP+O2iqiBCehu7uQgJAu!T?u2J=t-wfeCvAB*uR$YGPQ&r)>{g
z4AJLn8vCWU#-M7Xk=U)Tg_Ft|!Pk6fIP03jCOB&XmlOkD&zoqYmSse0bpZ`WO(@iD
z3^U07QX4MA)WOBvpGQRpXsETd_4TEAa~NgDg>P2YMUl5db(BdOruDR{@(o!)&f}cw
zv?*OYvq<Z{(@w+I*<OzPb*tde=xw8|*?QR9HAvqSPs2leq@T!3D|oz_)8(Nl1^0VI
zeAMKj;k@+QidV7(tUhtQtRbC()fL8B-=7=cy>%hcKj{F%G6t`d-%+rlX1}p9k3QD7
zM3}oY0SNH$Twni@f-l7{G@KEjVE%IJ!c|ur$n4o~nwv|(?PIhilTIB}ugSVcDYt<u
zYkf3z*HExMtz04{LJQOM#r8&v*n)<{X20C0dZ^88b`Srfj++eS6E&S}LDTxeoBByz
z6bn(TetAR{zrK1iqQ1ix93~FrrE=<`tK5d>W>qDm2M^UGh1o(3W*M)Z)ke1eCiEUA
z$RezBf4*mvExhsMZu;J&g&!xPb2*$P@%b&!tYl+bfZ1_IZK5VdUv&|Q+AoT&3!@!k
zi#D+CQhvUnl?J*o=+7gy1TbwAHGXZ04G4K#R*8?OVXna1p5LBac=pND*wC#uu*0{b
zn7pKlfz>ajyZ5l7&$<l<z4>fF;Gn<Ma|ac41|@x;wt2GST19qt4#2Ciq7D;QCA^Xv
zn-Uu|L#AC#U><V<2oBjlxi(cE#odF(CR)eHO6T7Vlv)Dpa@3Cc+smSGx?aq`kRkGV
zaYppHd22YQkvwu-UK*vx%P!tB>?7?I#|~?(=u7LBr7i2^B+(!~^xu~UJ>;Ihdt8He
zTEQFTYCVRnI9mN2Hyh*pNa|>uh+Lh$3Vz8{pNvZrMY80qX~0-FX?HjBb<D6O@NRvO
z-z+GCdoIUUMGkx*-D3koHW*k!;)Wrk(Evdl^XvXvdF(SuuD5p(KWG6*9M`RDpWwq<
zEfdp1dM{Z)U2BUC=5WjWSwmtI53;#!&h>oQM~awFMQl_whv9U~YyHDqn0a15sxo$v
zY^>`$-*~_b6crm?4?1xoy(6}~JAat8NDpM2?=*$$4w9K)zOmzHtLHDYWq*>n_8j8P
zrl!yo94Apx%!Wk@+p^i8kCUYw)lW3<n1G)WIrQrVE6z4$ecOwZq@nGp)x&%yu<wMz
z`Q%?L=p7k!!n1Umyp+ND;ol)+5ZY*8#_r03flIHLS8IQh+jqTs=seDZDV2W=YW^~5
z9Dc|9%itU-`K0zi)pjNbv1%yQ^DmPg9fE!B^7G`odnI}62N)23D&zk9f+g~8(WxB^
zI~K?*p4*E4Ze@URT!g67l_jzuQpN91#}eszyoBS?2pz`CGJ9mpmPiwp-{tQ4EGYFj
zFDWRJ4xIr%MYt4}$u8m7?#RK0-C+zJy=5af={gkJS+Y!SFYk)HwwE2hW_!_iQ;cA5
zz_VZC4lG!7*Yi-?BnPgxJ|--zX#^_IA4Fs~u^^vwuh9K-Tv(cEAmUL;19}c^T4^^c
zdP@y#pK;_t&AxM96Mi&s+oCpIqsxYU2SRoZs_<d_@B+8mf+587yEGbcu;V#CBP}6i
z0i?d_2z|ZA5MFR+Z(6g!j#_rZG)o5|JUaJ8f8$*PaLjA@XC}^x!|U}Ql&lrO;uMFk
z0qh2FmG7o`lrtArPe0o5BUu#Nb?0kugzJM_$HvU(_qfsSLq7kmVKJP1mt-|GLWLGV
zQNaZjUSwBx*cBZpf&be6>u?LF!r8VTrblb|uy_7C(|=A9PqC+2ig8k*JTKO<Fhu|@
zRq`3(1=46*5~`m4hyoh3LpQC@3gNCTFCu0VWzqSw%=@MQ3V2&TC|=qif@6+kid3>Z
z7BDwwp4O!RakGRc;*=<MN<R{4eX58%gn6G>@KS*N<_r73^(*~V>rQWBS3!}%GyD%(
zDIm>`iZZ$q_-EBdt`r+p{53=f&P!4tocOA0oh^wTvz4C=FRNkOL7RY<H56EX@?d(Y
zoivX5+RSh-spDgLs<_2n3S@lA*nVeO207FltBAvz=<lBYt5JmtR%_4QfBZ=fP4`Nj
zr}1l}am_P_!_8EP`jdN8yITSGuiw^SkgJ1ypQs8sdHNuB=J@2J86~{&RA%WvZ$13O
z7v(%rZ2)SWdrthjs)85Hesak3Q8D!!--#Fj8Z72$5B5~6qQ|(lO-Q*uHpQ`Fd^Zh3
z+g%d1SM>Y9j7~n=HbazIHiMW3BbdLawrFClfg^rjK6@Uaq4nwZTl`<>!1$$*dGxd<
zDt<GonqwMa{i!qSc;%Sz{#h}(wM`4JKD{?n(`kf0n|7c2e%KgveGHjaQabpQV_&7O
zCmp$SIhdPRO~LM%q#d~HVk6zFkLw{Fzug)W;Cf&Nrq6F}d3aC{dG&9W_%_k8%eS8{
z8*BmR6bH<PPgC%B5Vz!L5gmWMbKA4pa1|IQ>z1&GQ*rWAWU%HYI?iUt>it-<f|Q>%
z1$<O}Tz^SUjahAkRNv&1=o$i)>Vt0Q7wO|$McVb;VH$cm)I{XG07wjTRQ<l7kB6QK
z?w-DDi0Wsw$U}#1;K-D;Y7(abO8A{Ou3gbbE0-u%Aq`vDne;E9r%@k|y51{gRb0`x
zn&^9ck8R=Yu3IIYYxJ=zMlj{xycXJes=oUmW(NlY=hK*Hskkqs&8m-7#|dE)$2{%e
z%I3X0HziUqP*`UD{zMgw>>PdeI@}IiY->3`ugrCe(ETZuQ91nTW%0UxmmP?3n{532
zR|jWWC1<25lIYT_Z+CyS9ei9It&2RQjfo+XOO$b8?2T{B<`J-i&Z@S<zxy@uNadjo
z(sf+;O35K{@ue-ad7Fg=g9ZvmhX0y>w@4;!om4pJYYSRDd^>(#Q$w+|TD!~7CP)wd
zG%?<B8?f<0&)dIM@Wq)lF$?8xax=X}J^hFcNKq9y!d@!jQ;&_ZN$%A|PYNS&FP9Bm
ze*bhGB}X3ZP1axMtNli}+!*L!zX0$~Hn}IEN(On(70rdY{UDUhwE9hD06xSHJ5hP1
z@c4et(#OjaM5a&Xy{C=@T)C>X|J+G&w5<)bGowxumbKg7B?no<uwl-Om%b<tsM>O~
z?3f{5igisa#96`8mMk3~Ss_d=n@)%wogo_g#<EZ6uL7TXjxIGTKGdqK3xC%$Lr5fE
z;a&ID65ROstu3m!knXf=&8N^AqC~Dd-d5TY^hM5jCf#Gl5&tc@A9ALNe?K|B)HYZ^
z;E6~Ntxqf%8{T|fr(%lu<NRskotx%xkb9LCt#*O5)1NAwEuJKdKb(FYIAjLC^`@V;
zg#01(G<O#9-I*ZHOyBDeFgJs=@q&{Fl4r=E-@eRgiE)B8O;_I~#T3$WMJk;2Cdme;
z<C9mHeiAAH&!4>gX#$i(=Sq);{3Ly9FXgH5{2<yNDMh)vn!wsSse@=TM6T1|zy8!>
zgvk1NbuRI#F^B{eZsslMBQwefFaKLZgp5kvYdd9QXkzF1>>JfX{_6<PuBLq_#E$h%
zI-O_2{?`BUBF}Y^b@RcsWq${Vp1=h09jr`%3@Mkc*fuiXM#s2)uAjI$f2Hhb3<C`A
z7?h+$){*0Vt*0OA^%I4KdN%^6>0oJCGji4OCCRX|t6Y1rj~L!+&@&!EhbqA%7tW;L
zBUw4vBo65H5%oJtG6ZIf;I^WeQEg-z@%g}|P1Q5sh%ZA?(KiknLHJ<L`DlS6;#={0
ziH~F7hzaXz-s5aWP_vh!f1Rh2i1IPDN|Np)j!d;Q+&xbN$?&HcWoK)M+UFw^qkH-Y
zzs<Xfe<-f_iy+>#fWk(Ch1qK#JlRK7Y8QK+4>W|?*ZUImF1HX7Lm6MI?)DRYqD8le
zBm;0>+jj21?6*WiN&oiM#|MZG0p_=wGJSZx{da)i-wr}8S*|WOagexeVa+)|Nrg9N
z#TBJ%x(E*ON^Y&%?}X-80cwRl6+D$5T}aC8CTOz-DKWHRq9od)YAlQbQtIFB34u?9
zfl0dVOv?zt6~K2j;+Y<(+x@GuywF1kQ%1L(xc7q?W!2-Pu<C){i(@RGWqXOVk^Jm?
zPks@(vx^jV4_z2<y0CHl#5ZCz=I{38#c{$m&f9V@TL-d!7t;Q)^b;Bs#Y#cPNrJ{>
z*GaPJfFaAYHU0Jgk=5ZR9P?y~=o>$KDn3XXe)AN!a%}!itX`(Qwy>We+BU~}>ep)l
zi>Gb9nC&pZxB7M9U)EWoq(>p8n5G4hI{Agp9;3ukfmUnt*c{Pb&AcmjM-!@UPVvsA
z{v=R(Fv3H4o?s1e*WN9r3GzwT=398j3G&v~k9naBgr?Q$buSY&fNRsEme?;7#AWt3
z1=m@YiNK7`gQ`3l;CAB1a*@vzac8YhRrweT6#i7BHYKV<oa^y9o%w0vhrA*f#<Ib^
zuQq3Yh^d1Lz5m@z^>5-9Pu#k5HXOkJ-){4k3^gd^J!GC#Hb>01bE;??aDhPDYQ8q6
z8Vr7r{n<A7mw56>UaQQ72Mo*0twLK>;lS2yA2nAm5K(-GDvo6FK^6UdJ2gTT0&S{v
z!-tm$7RwJgvX+7{e*NsXZaGzW6#M03+IJRsY@#sa&nE&75fAOXnpNPB#QK{2V{9;d
z_vT!}Em0^lHG5N@paSfJ2fVfc2b}c3C3DwX99Wh#%_7`Y;8Xba!eK)$cwM<uA)Jte
z6vc3BC9Rb_#<8DYx${7#6Nk~1w=`H7tM)YWsz67IYI$1@AK0yZ=xCcI3!y>Wep8Fe
za8c>MJSPx@B^~+2QxpZ5-%`<ei$?_lbbd{@@r%F+W21iAm=X|kgG+9DDnKFgHm<oT
z3V&4VpSb^3fqiSQo!lI%0vkhvy`tR3p*bV1-!NSbX8&^8eW_Q0yZgpj%#0*KDI_9U
zWUB_eusBR~xT=Ew%y^B5l{8e;o!{c=ss&_u!H!iNY7qCmvdt<+7G@TCdtLl=fE@cL
zsxz^YFTn5ZRKGk}aGGr&II9PBc~PNH<uyQ~{Kn{mlS;5PfG=2}g9_Tw&iwN!nsDHF
zR{D#FD&VnMG~A3~2q6z^PIvffL)W4f>zIxjcyPx5{Lo5+B7wBKk#V}v$Um-INUFo>
zf9s}>aMB?r`j}>s3>B#T;;lnFG{L~Tzwv?*12!B~6BAc81ZQrAmmk!$LBZooN$F}P
zaEK=)Q$38pVfEqXANqB`gxf92*2)+T`Tf`)?6LCy*Xald-q(W<&$T*3myN--aCAS<
z1!Lg4((%k?BNe_zFQ)1qGl73);&U0SW}u|A)yHmHAJ$iLHe7gU0_0=9)|lHCaQ+94
zuYQ{$gh$V7C+#(X2d4$!QN64{-AA#a&5Z{Ab;rE48;rruXnO4*PJok5MgtxVG+<T)
zH#R?J!nJAhdm-y>AZy)QLw-pk@Q!R86xU!t_JrTSOoA;Cc>0C}%?M_X3Q`hHjesX?
zqTuaiJBT*7iY!^duj73dzh+(^7&*5}qxaZDUI0x%vcFmHz(5TR77E#W-Bom<y3RmG
zi`N03<+$A0N6<j2#4hHSq6RGc9uKbD<^Y`4yl$Vx4WWi_!t3y6B`6_=wE5#5R{m`@
zG0P45&=M%V>?|k=Id@p~8+SWEru>i6hZ`tRt<f&@h{+2J>63+3nhxNnk|gA$tqbcG
z_FfG8G(+?iJH?y5v<HvJnJM&-TEKIDzeM`(HnKETvL%&i50PwznocJ)z;;;B*Yo%v
z(#iVVb)VaIz<X2_?f<_I)wYyY7Y?l55&bf4*%lT)*b6@{R|b2FKr7#Ud>F@pFXR1f
zL2k<ReUG<1#2u}Fd~sF?cX;jLeM#DY(6P_dIzwr23izfbAtH)Rwk?lLv}_<SUQWi}
zMI8D&2b{{~#PIsf4e#pH05;VX$XV_Z2Hx|o?5Qus@V$I#qYE#9Uvbq~R3{JkUEM2H
z#V3vrHq<b<ga|OHPc5nGWCIA^Dx$9@jydbab@s?w19ex>pOEHxLi|@oT!y$f@@~Ge
zahzcVV~$C8O*keAmX7~w?8d~f!&X;r&!$!2FOe*$wZE6}W0%s9trWu|y@>YWi<S@`
zD-=Fvd4-VuoLzGwSquZ;GV89lTYvy_<ha&{kK|<3WB;N+F*GX8^A=LFfQDEx-8#up
zGXLjCBV7<fT3d*X+CFozdA{vQW!V&Yv+DaD7DF+#|9IvC-&-^2)mNS!`7%dJWV!U(
z(8RF%m1&@gsTq`1{W`TFVSzl5dPYOTQ49mBhCY6|Zwjv&j&0uCS@5X(osSSHhI`61
zynAI$!GBX}cV-|PZXHO$if3Zj(i7(S>9Psjat)Z`Fy}zA+cg`)M8$D5?qT{J858Ji
zU)${bhZ86LSMiU<i=$HJu72@MV<^dK9ln*tz2XPst)GfZ;C`v^)eO2Z09RFaf)g)3
zG13xLFOxt;-?W`VjZ6qkuNxB`;KMZMTURa~k;M7<fBCf`OfV@o+gN-;06%rPxO!}q
z!Zj`Y1?Tuz;=#YiqSS=2&vxeJGgoP(rB}Vnd(HrR87IZrW?@WClo;d<l)=IBtyV{N
zF<|s?wbt`$5xm*jcIis8EPhut@eS2xz(!*^(||{!Xf3rj=t`#?GNY#7PyV2TXjj1b
z7uUtmHZwn#YNmis%D1QFm(ro0{Uukx6>+@g;YRU(u84Xte%SdU9g0un-K)uvK!eU~
zn=kIlIMXB>b#@;e+)cB#8ordowx3Vr@5HKLxbpSewp-}XS1Ka)tX~R)ofS4a?NY_G
z5ix_Eesr+SDEh%vl0kA^!)1Da8pb~IcjF4C!v!_vV%MFrXn!JWzmLB<>Ma&j86Bhp
z_tN|U?*=(E|BpK0wp{~xb6o4B?$F_E$Mn&)D}9e0-SmbQqlw1GU9X4V(c$NroB0)`
zinx<1Dw}X#3#;FD?f#_1fQER+g_^a>$g3#Mu*=p)HJ>G6slyETJ^DT`@_-7?yc)ZA
zsZs}(5BgTz`@w*Whh2Y<xu~Ly<rm9|R$Yu6rq}sLFd;(NBkroM8lIN#e6jpa50%Ql
zQo99=;f6;w`v8wRZl*-UKWw6)wnP`jveFp%?tOnGKcbErZ-dV&XH)T2WZoD3_!Zuj
zGOapMuYvsuH)e#l>SJSgd|zRpDHzm^AO4o1iH~Dn_;vr)N7u8fp0l`_L2ah=wL1}7
zD3QWf{58-3MYtYj9C0y+wQKaQps_ZVUrO7;nreXO@<o%cZnS`??EZ_~BifiWklM+A
z#sDAOkZXRw%M#+U6C7mE=pbz!qkXld0qQ2^h>xCJ1v1g=&pqPTMb4VsqilKlD1Bq_
zT+<~hxbZ4GtT0j+{}|4e&va8U^iXy#$8Brqc8oW^_d*wW>S9u_*HF+S2{X8^5^#QZ
z<XqlIT|7`b@CWwm;lopD{I6C4obo)&`mIYBO|qTsM#puKQ=e0N_zr-D0_JVW(?#1L
z_ia5k+89O)X3w5lIiq_29|!z&@zFndZ-E1vIL>`<(4Aoe(K|y^E)MFT-iMt%F4xu3
zo7D#Y1lmAuh~^~=7ai=jTGUB+p^6(4E?Vqf@zE1G-kcMcwXx~k2bTAwGB#HQs?cL?
z!0~Ez^mMfr9;h%5Ji=7K2r<R>T?cL8X1*X(__HSJYwtMS-7AB82@R3r02}CdzkAWU
zUjriq=UR`pOX3yR4!bE+8`z1PCMLe9W8KOB-lvO+<GZ(qjI20p;Of=yf8TYe;eBHk
z6UPT4=x3_SnqLPHGE?%epiULt%6?T;C<<crWq-{zCjlf2lc-P2RPc2i<G(wXd2y$~
zO~%LyortUrYgXK&jMC<tPwmL#!iwh0;@jR3khE!=aM6B6l>21IspQRpjr?=5^4bIh
zP3?L>O_RsaW+Tnovur4S-i6)mm^B<yFCC3~Ba7C}!~O>utaxoEUVFI13aFHALA%vu
z&{2r@u;m&S>@kTg*{N#<d@)6zSZ+w6g3p6M)q~6Ajc41t*-xwjVa5@I4MvhUaJ#O%
zmvxzZ|H!}jTDK)!dYP)<HzJN4Q(|1=Qp+Too}BDtSi<M~+!N=j#ZWSrsoipSnRLs&
z;cb#?0j<6ndYu)b7-eqGvA9zAa^;u%GBf6|RZi;l=l3FbZ9T_dwQ&|)E$gCC>0=H;
zwL04`i-=&KP}t$vm#j$Hx?^TTwHZ|JnJrFk7Qz^NXphZi!v{M~=y4mFflrCA<(eWv
z9BQ~Xm0iS+&OV-^KQc|>e*gdg|Nj(McRbbq8#S)I_spIbmuru>k4q_viqO!eN!ckY
ztEDuE3YEQmC1s?~V;4$Ps3=qj*(<`&@89z}ujlo8zhCEh&N&+l>J(~Pxv@I*9JBvt
z5^mk(@kLU?2<%kY`j1L-qtL!NH77|{T)D!zyYQ|d+?rNQs7>NRy`ht30e);ao?s<b
zDQE~c7k52O-Nc0_N3)N<9AZb4)a;G>?ioPBO5yQY87|y?PI~yEA1A&q3Hx3oV*sAl
zS<RRgxlsQI(Z?grji+MlPIl+(Lpe*8;jSHAC_YoP6!e`3JzM{4XSC3VioKsKOEbC9
zA(mk^6Zw$M@on$^PkInQYTsb3z>ULK>FOW)_^~3c##6~h5B_~@p7m_t#<i95s^ilF
zSgi14AVpXYYNgf^e%$0i&4t&)j-o=?{YNTGvRW4&U5^Y;4dq4pjggyU+l8_027LH?
zS{Fv%i!^<S=fer-;)Ayyh+yNQJy)K*E|@mb``J(O<AlUp=0_`{=zEoVCjT21+^p#p
zK~e&EHdNx3*LiVNE%3^@olb?U-xLk)0Rc2FrZWP!B)VS8)?@Xif>nZKd0w?3@&zut
zQ7WY{YS7EO*@g=3%HnJniiGgd!F~mq$PMW5+NQZejS5BSlU~|o!dNN~YnjJoG351N
zNQ*EP$Oj#ITsuUt)0=(eZ>b#S7bN}_;-SLg;d`}ytYUcQ%GH~lHS(DK-p9Q`kP7*e
zxx~+%;`l!MNWqUD1^nzqFlnn&;Y?WRgWhKnsOH7`oI+B<jZc1kuC$}VnD}9PCv7QA
z+~<DT!cZB{l!=M|zO+97bIZ>ml*ZC;2h<kNso=X-n}b_g*6}P?q1Pv5(Auk<H=;xp
zE0tCBPO0m{PP?Hat%7p6ci+`S)mb$>aIPr5BSja=vsdrtF3I6A+8fjK$!HT6c5Fah
z54t5dp4=IcM}F)15z#Xm$k2EBdF4AjSlnARlhdbwjyu13j>c;u_}o~OyrB=rll<zg
zeo@5Dgy_UXmKM^4&YU)OH-JmyR@wAVN;rCVliQj56fEA8R(IRk5acD=g6!TZ<NIQZ
zh{Yq?cqh&{yyl=0JpJs&b>)=`7VW5L>He#YaTeL}j-kfzrg_c8DMJ;tJaSIb$T~Q7
z6eBZ=On}ABtu8r84L9wbzbay&gMRso)b>$R7}1?L#%iLDUyoD;evr_?*-GKrSK1qa
zMfh8!Vy`+<JB(*p3$)STVVf4+*Bs)ed!9c(M8<mdTNwx1DHxa_+38Va0X)~5wy(Y-
zBWxM_WSgml#l~~KpSx+$ZbMWt&63eTq*T~gOB01Onp5=s0sdPH6Ycv)M$;j_k{v!|
ze3Y-n)$#|RHb2vVshf<!bBB02FR7tg)xo>mj+W5GyZNPEG#SanyC~NaD(KqQl9HEZ
z2}|3HZYZ#lQR74h>4~ut=4^fW%;BpgY@1QPa?nj38P`@5t}`iMQo@vS{y$5Yocw2~
z7^jBNk;PV>FN>ceN8FFH(ILA$uq6JmDylFh{^7nPh0>QzTc+3fn%frk+(}eHm$5XD
z=7(a)JnOv6|GOnz&!U;ST~J2aOVgE~+`{-f<;s<_C6*8|wcpOhK?z?M=t=DP&X1a0
z`%m8Uw*<C#*>0z$6|u6J>AgCY8<XEkZ%d_ELdo8XLcT-tc>I2`g`W=_jy!UHEc_i{
z`cTvAnKC&Hr+h0{4ra!?%F-V;T?N>ExT(xtL>8xQ4L#K93|JTWs)3>nz_PpK(aTTL
zsIb4`m&?gz;>lR&{6q!~Zk<>Sx?3WN>EBdWZ$vH-3|6tylfxFkHC1h|Unq_(?leky
z;Vj{}^XX52O$+e*a&9oSMHKBmERl@srilv`O)tc}&7t5}LG6FMBIwccM)}f{DMGq|
zhssdC5$fO2FYX8w!i68#ec9Eg2$zIydzhIv0#DTa-S=4p@c_rX#2fP|Ldq|1w#2~<
z8f(<Qk}CKyV*JtOpr$E;t7)IgsVAnu(j>bkFVBZD|9CG%mrN5<msP3m3nt)MZZ23a
z!h=I`y~lrz%n-_vC%kKSnn3pC*$!eG7rtHCZ}ZuGj`;ofLvP%F#?W!UoIkae17)to
zR6P(|AV@g^KJSH$;oOzCF>id?@swTTE{?@T!iUvpB>bWg81>uC7Vl@nQU4(cSH@)`
z;c$fZ!y!Xx@%l;c31Y>@qtD(F+AGBG%9>_zS3~eqgf!0AENFGYz0v5>8o}S&nl{^N
z0CfI<%SP5LD4gH#{BVf@mjyd$nwt$^_nuO(yipQv_N~e@-^_$UfBq0yrw@1P{nS>f
z*8Pm6T;r9&j8kz2k6vujhn*E!$K*;$_&Vl{$X!tu6x$%~Db=b6&z^1-InYMJyVeax
zfvK#R6q*_F&sh%+(cY==<zqqM*>6a<U`O%d)YsmFx^Q!$ja$%%1s8MT0#7Y+;8(fd
zN%t@4LQ!9|(bstv46!1G7qoF9?O9{}10mgY|1y#|oWhEwP6eXOO*|Mzsc*_Gp@Qcz
zxsWt>HcYkQ(SF>|hx#SQDDzHKIC4=gX54`t`vmfqd;|ngpJCYW<BATfZ6CJo-_L>j
zUwNc!+X$i#(?H3+0v*u#ob=`34NjCAIpF^Ft`Hu&>8YA|SO->^U0CA>xUg7Vqks2b
zVSKZVZhc{c4k#2S4-LBUtn&x(QjjPPB+toguh9lK>e-wn20k=t9nmlo6-SBo4=q_P
z+F-@o<karLkGs?BOzqkwQ0ivw(bzQ#Y&>?LYwU;sw*INS=Tabr8m)^Dnkp&a&#P1R
z#a|HrI~?NpHfIBZ?C<{L*D1hgDdL#_SO`xzG0ZhI$zs}W<E7WW6d*NyynX7YFh04k
z1*b{!XzsM9EGb}pPV5I!A-X7T_BdjiWTb%Q>b3k|?@^%3clW-~N--Rb*Kjy<Q4v|S
zrxQlIC=hW>et3ty1nS!Nkiy%P@O1A?^aXQmkQWnH8Ca3TUALvCjCEBouWoT9vPBzC
zHHcZtzLCal1MJM|PgL<vpR$y!l@46r^swbbu?#8*Q=13G)v>F8s(rOw2ZoA0<I7y+
z@b#9Qv#s%Dq|e6YL~W&lX=1Hf&{27Ot;x<l$E%5E98b>|&r>08xP<H$q<|xDSf5UX
zX<^ezhfUO4UC4gD@49TFBHpZLVrc$G!HkvDej5w*;OWEgxTXpvlpP;P2<6woN8(Ap
zH<#<fZr{fdcYBqQ(=sx8cZv=!dh_gU7%+giN)hw%6%~AALz(mEqvGeb?$RG*BY5E~
zR(MWC4XfE44RsDtF~@`X9Q}qdI4QqupV^>}GaUZ^tzMyGmAi039my0FnEoie;3wnF
z_b+#{MNzTNo{;swW(IMmPqU^Dk}*c+&P?$(Dt^3CwmU<_97L9WQ=*bIQ1U2)p<$m6
zN|<i$R!z15&*8MknX;NFeEpQAfrSowyPCW{#{poj`uLP!fF>$L{#U}-LBaSNLVHbL
z0C*JURx2cGVg}P%Txg3X%Cy-q@a?h$-OgIq-Y`u(vVS-8iSuNvRx;eN^^+xxTXyKt
zwKY*~g&ylSriz9igy=`i=`gk5g3~KY16|K*WvrMh<93l>2Mn*!A#Ks2?A9<DFBU&u
zQjbzVueMw+#WFf91$ObhSW-vQj?d%dJXyT`+%s#jo(`du<~L`5sA29kC*y!Ck~pr=
zbGWgB4g%SIcU<yRaiGNNc4n;z>fQdi{rWvRNSoO?K6FvRPO<8rzGnrnk!Mx=>j66K
zqUb#col(L-siLy$CR`ZL@OWReC>_2$EV?xnt%%KTR?iw9lW@X}F<?uLCFFN}$ut*L
zK=&>6^fjebVw;rn>H9}4!Qf)YkCr?+)ZEI|O()F}A%WYrhOGcNS%pQg-;qI9M-1RP
zJ4)0EJf}p&0|*7UhDVP`A?N;ku6ELWM9jmxUb*T3VS~9DRqhga=At^IMDjZ#s>dOb
zJ%k3_2Zd-p>|*FtAwS08l1FIDl@EI7SU}Ng8sH~kbn_lO=6vQUja!mwuV$Ayh;<zH
z+1e(Ep<%*x!Dh9zz{cgnww&gWy};ENGRKdvK>f->Lj%pD@}PtteIr!t8I>!H<Hh+W
zI>n~*^|T&yt@F&`W+3#6I=kT-7q$n{rn_s9Hr)9AkW`&1Y@IQ(F6d;(R$Cqm=Fw7`
zONoAA1(zuVWLBlmo@2$yOTBE`F_E;vud|KydrY9CBrj0XiG-IN+Y^hwmk_L?qA?<c
z#$c%-WygGx3B6PsTt7?J6FW2-g+p14;kH#IC8m!7N#{&MZvJf}PIaER{_cnowA{Cs
zlV4jU^ndK#p`qSMcvXb;cGVlgxD<<6RMtP@RkrV=*P%TG&kMzPPYpvzaw0Y{7A+CJ
zQ7Nx7&i4}?hXY=CtoNO_qSW&|Jb#Iv<CFZB)jx?qXMdek76WLSnAhsAS|GmPlnc-0
z9ww$oD!Ql7>w^KaTJrAFdBXdjmaE%|QGy|H(amO356;d;-KYPVBbvW%zjyV+IALBR
zFBEZF4<r^;n3ayr5qoXldAqIW0rv}=F?K{3@Mrihy3ib<td(c~er}q$6>J*p<f#k)
zjqksZH9t!*>3Hou+c8VXMK#@fGeZS-iCf*=Tyw;#&2P>5+IeExC_C|c2o*wx^;v#w
zU&nnOHHEe;5{IZuPB*xy@YQl;Vq^6jF?^nF?ZV^|@n5I4;@e~$xIxvad+Rb!G-fZ=
zmKd%OAGZw1rBHPs-?6Q;PkMonw_kloOJ5_dd^u>bc2^s|8U<Z+<X$A&Kkgi8-N1;?
z1G8NhTGsFRzNd9@Du0P>oH@B~BA8HQtt7&XivmVxn%u6OSt2CUv=>X5NjTHcsynq)
z3*_BRqRPH66Xp-Po4e9ku-s+o?6$|6uv*dnPcUMI$j#wC-sHiC+(|38cjh(VpY>${
zS?4w417o_U-3|^k9XI_XwOa#(<E?c(iy3f_&8L`i$G9*wFfVt{OEUB=N2~p8V?^G{
zOyeurJXrmiOSW5+3`d8WX99Vdaq~+WMTCzZnbmfgTW71o2DWH>FHaJ>OEOtL@DRZF
z6Jd9}HPxX&fA)aG1PgNC?9=?wBZ!=O$4G~()u7?_HP>JF*f6C{n<2$d7#VzdUvAl_
z29w7Rlg*BEV3y@Am+LyBXgO+Nox-LDr)~I3?jPmCa&M!B5Fv3~HH#XRs#k@Wd(`TP
zI385tO7gRmlSJ=YhclgbRN?XJeZJgrKKypo%m3;gX-o}?si6g^Li*)+aUZ$>dVZmn
zb=1gUPV3N+iMJ~Jrkfq*%NN9<e7aLgp&Z_K_T^E!tO`5qvb$vTgt5|OuUw{(0w(kE
zx(-*Z^Tqt<LVHATUmfQa*Sm_CyOJ`&Caea9>btyu<cMK;#ErE8O=Tq1d+pQX)!?Ye
zNs|}%C6E+5A3fEpg8YK|Ou<&_KsqimHCHT!r&M;E<Yua2QDouhs0tarD~()R9^HU@
zlA_BM!pVq#;)Yu{X~3c#b5Mqg9R78SCh45e#Do^kv$olq&>_lHD05OCAAX(_PH?86
z{nPB6gk2Qq8I}(os8T@T*n{W0<aAJ$X$QZlst&{?l?{YRE8*X@6O-}0RO~KqT-&jO
z3QyI&ntd)S<BiAW!DC}oG>9mlxs;^~_Z(C;78g`dHaOPv$5UNAIPv++Zn8eyGu&Q1
zc3chF-W~4R?yQG2C*F{KUko5oTKHXcn>ywbpZ}V)>S1t!>XrvjjUdEX*)Bju1LGfs
zZb;?ON7nMDalQf**sGjiIel0Yk2+~rZYAmCehC&0kC$dZ%6QNZfm*oJMfw-lGd<Kh
zs>izY$sEoLIQJOsqu`oJE$6t99!fs*b8sG}fu<!9tIMp7_4${tJ1FYnIr;wWNt5e7
z+rBn1=B|z3a{J{o26gai%N@OmPD>zXL=7Gc*2X2-3lc_c6ja{qmUTUq4plQ@lrXwB
zhP?OllRv3}9mg5u4uBQ>5=<q%ctOD*?^w>pzEZ`|ASdPQ7giwpgYkgScP(^Y*(6~#
zuZS^%H>Zy=Sp%!dQD!zm6F1IoX+3KwhZW!2CJ)G4gLcC$!Jb1JnCVTal%Y!?+ueZ7
zb}?(X)^N;zaQ)w!hrVZIr3vE5;yc+7BUVtJ%(Np(d|e;jkC#a&IWU$Z=1BZwE6{Ae
zz?)*Df-&Be#b@+aiGXGn)l8ZdI8APQ%zsh|YcKv%l}-FjyjN<^cYa5QV|6~o!<QA1
zUDVuDWAX)UStI|?wq0~E*;i<BXI=N@t_DH8Z+_Fx2gcOHdrL^%*k~A8w*lvG-{M;-
zoulE@C&e*4OZZ~nm)7MZiGh776WlicXqi9ns*Ah^=w5KNsumN&fW5iKHNgz<v~<@>
z{$_yDrCP0S0bx{NbR8)YV1j!+Pwx)grok3>!#3C~fCa|W7vnjZVJx)dquC=1FxK13
zF?N~<qkJq6a9n4G7caa|^FB9+XeQSEiO7zkJ(=k_CCs2t6|uP3xe+{e4DNjtL&8xF
zaS=)qGn~J$hryO%BcyA7I%ZwYfO(WNEgu}2VTatS8Xi3}FiP^|U`$ye=8~s>zMo@)
z<O8-+G%r(-^x&0dj+`a-3U8+Tyv_vH2^Oo{OH4qH#qPGc(m2u9RvpwU#{}QBO{5B!
zjX_H_cI#iCpTzWbGP_JQBRu%zoZP+57^1gOpS7lS5y29}`rOAEA>d9_@}3MMFxB51
zmmY#dqIV!ENRbiJ1Wo*#7}s&T<-joR=QM(+FK1zn0meGxN}G-u0=u;7$D*Egn(cF&
zUe$gEQ2)zf%k$O%mLz6pDw%s}L5!~s%nmZZsYhGgT}%yN*LOl$A>jutPwVwqBReBJ
zWICsMu0S77otZJ&NE@a-nX57@wPA$UiFbT86!pQir&G==VT>l4aFp^OgAs-|Z60t>
z)q@eSDbKXslQh=o{u`Uu-`o23)hM%!9_;_XIelR3H0`p0j#E?>6P&fv+CKF}7ozr$
zml{)MY2&_P7xV&|!S_mCo*Y>hmV)O3zjMvgN@FraU7Sep<=Pw1>(8m6q97d*@_T_6
zR#g%#@5BNsPjY*yHdN5OF2M5c?O&Q%FxQWjKvs|lv+$Mb(Shc!MnaERrd{UyMoOw-
z1A#;N9xnbmP=Ehi*W0=k+UCenjsaZ`c+l<|v?8bjdy3*+V*A%<d=l@5#NTnkWmUIT
zw^Qr>>(O;jo{teUj~udZO5g@B$vrMQ<rGK|a{ARvV}i;G3V%~9FI3mB?fk(<0dQYS
z8i;0woShjb<@WIdBa#?de6)c5Nr0UEPZE^U|LgpCO#luCX;oT(*95B#hi4wRvBK0d
zF}{Ocg7DD1?9h2vO>m%z1$xY}0o~rY{Uu!({1w|{(!Obc=Xv{6Pm4HUxG`{y)FuM;
z7Sn!zeKer!Wm#BLEEkL>{u*}+6$6Lk0<sgL8o(^@=_%V?9@y`YBtErE0@NIbNv5r2
z5GXJsM(X(>%p)<P+g=Jpj9rGl#goDRe*MK|K><i>PtarY+W@6cFUpzul0mbarT)u)
zLGbMSn5<qe3q`51mVBqku*F<9_<fBK+@F1P$U;sYdW-(;zZy)2y3{U+u@Zrt*cZHS
z{S?6ZY5|{p5gFcZ6tTPXLloldqO=}<SA;Dp3!|aT8Zem{>BgNd4$kV4k;4a-p|FXx
z=ViDCgyg3ml8TgsXf7)@@~jGUh5p+tr=baBBOxzTqohI1o9xqmUkylsS+*2*Enw68
zbcvKD0~bGf+~(O%2E+2O&(Ahc;CtRr>L*`0xcxw~A(~wiJ`}K~Jn+_rCoK=-Lek}-
zL#k?*NP`wo=tg>PqIBTD6lFtNp8|XuZdbS&qzzL(99v!e*LCO=a_5Gs68s#?=drn=
z1B7L%(AijBU>&Ju{q3&|0n%=QX4|R2%`KlN+@c4$#C55fMiod>fBUd`mI{eheGdP0
z44}91_Vl53|L5Q?N#1@@7h*bnc8R?-1SjhwFUDNdA%2$a>eDV=NWQVnPve9!L~S9?
z2VNz^hSygfi7@KH<Sw2+VU+cpZ^*jK_^}2&L8+rL6YKlq>~iY`%SPx;m%RMrjwbBV
z+bZ}cSr=5;=s3}D4jwfP?W(R?u-rAZGRvY1g*zJ<jLK->GG_i}>yQ@6*?->uiM-y=
zuQUD7DF>KIIyTp4OaTL*W82^I>44Sl#@pf%mO#rq8m(bNfrokTzU{rB1zw%T51goU
z(2!D_+_b(2Y_?a2o`;aZJ67fz73t7ZmHMIQmKM~v9(60)tP1>xGIQI=R>1J_SLefb
zns9F08|9W+MaW@o+UR@M3fKn=Stj0Uz~DyKNrP-TNc+4`>*h@>aI7yn5`T{jr|0`3
z`DP^{*U9)-)HN%ZVJ9)JQq`e8Kt(KqT?BS@#XDLYw}Q~?d)1QjR6&Vx%jU?vd{B6}
zt|d|33fzg&*Q#79(AaHX8U2R^yojZ`&Q3aP5nl~uJfH+JW}!k^Wy`cWD~}*8KRUdk
znFc>CPykLx?F|CKW3;LKthEEIba0Mz5KdT=gQyFB*<S;iX;fOJZ_I5=sEd1Sx1~x3
z!W**5ayFj`&E*IBtKycBGM;4Eog@XvmThf%I);ec2OJ`Y9s#7Z?)t6qSR8&FKKx#=
zc9NiYn9%O207SbCC9`*lK&D>t+qX)y#FL#VZX*Y2P#E&Ta2|wUV4fUf;XF_94qkgu
za^3=dzMR;a^qn7Gz5gZb8NWdIKYq0JQj$5CtQ#Aj2M;u5yia;9vPhIV(K6eKjqtP8
zY-NWZ2S{*J$|u+tiL^hXhpNZTpmIZ;>hLcXI2Foyb!C0d$80?r1!Xf}+9a%cv5X1k
zwrVpdf0-w4FY;me5mT5|XDWG8u}0&qisbN{o+G-V;=5I{O~9*cz|}QxiKZ!9J(@l}
zOI$H6y2Uwd45FzHcIw*mG^XwpoxzbALjTWi7bYuXP?;0?D{VSW+gBWHlrc0-q{vl=
zl-xH0DV~3mf*1eL;$qxfG^eMChYdWBYv&AsNrL}Es_PKV_ipbkTY)L!Pvl_cu(KiP
zo;k8gn(e0<J#Bi`x^<Fxz;XNCx0ePGK{vM(KJ$fkHk~nl(0qaj7<*=TLe&6jxx$}0
z2zJosLX%%SRvsrzvZ_TL?&-rV?aOPf9t|`L$KPUF+y4;icHak&a_GZ{VU-H?y#HwD
z+t!TA%EpM}-tJMs;d;<h@xDDV<^e%7$u_xtaEvh6u=#}VvMvm>2=d&&QAKnwM1`i>
zju9m}{0k}<bRl(*-Hj-E6CoEdY8xFeM%c^4pY#8yaDwLe>f~%2fx{>LCkMue*S2Fr
z+astjD^j5%Mfylc=x4vGi2Fl4$=724f8Pwtl&q=l=pr`VRTbw687DfO+lyqAbb#`6
z|C-48uLO(!h4!fY38K*S>-MSjJin*KiFTXxogkIQYRTQ4Br<(9AAa-KhO?KC4CPq$
z6GE-eVlJMTB7CgcSq0N5Abz;m-;nJG;nKNJnB*}{T;J#IbMT`U1oTmQ?tJ)3SZ=Vq
zVtr+Xpt`4BE#%gMX1}QWg2jVG7DaHIdiyMq=F)gz$W{|_XP@PEJsKt!7qr;ftmcU?
zr-#1&yQu*k)5`Bh@<#|2r^KC4`WA?z{o$@Zy2-G1_F$9a=P_b5CjB|J@Gmi7`_c8D
z8X1aS6<yY$Oc0a%zB!&PSSD!4#6!eG)uGD0Yt+4alDNh+!JRm;LS)P2<@kM8177Xp
z1)ue%iDkTLW=dv2QhoSo!c+~4$K@Xl7R(UM8YLBFk&O5u?`oxZnksx#P#ZP0nIoP?
z7g1{%nDJ}kcGe<3RX8Ltdg(dq0<pBU$>Vtj3ElcUYF|dGK+IX)o|K72;(L0Jkex3p
zdSCwKo3N@3x4w;(1+y*_<(%I&?ww;titU?2kHVEfvBSU8ddCXk;c1j1{Dc!DYjoE3
zb1Fl_^fIGU#~RT*Zsc6Z!Gp$jnKs_ZN`O1k;%QqMu_;u<wX~QI8S+{Lvy7BLsV&sy
zMhg>u-udLO&o%*Uk=s!`)1wIO$){s4`I4|9JN?S@UxH{jcdqa14Mkx6TXC=5nia2!
z?Xexs62>>=g@7-%ilCmQlzGvL9eYnm*!tZSMRf+IXPKgk;A1omjlP^1Y<X<3zepTE
zU8N+m&nQ4q$*$gwU${}!L*@+rlSJ{;vGz9x6rh4(pGnR|K74oXZ~wLM4cOSpy~BK1
z0m7{-qQfZyShCcvfHHDeU?3M!#-<1?YKx(THG<f!&~?u6p*&tK8<#cPqzD`Ts@4ny
z31hfp=h6QR6>%n)FaCX|BIrway@=Z*iU*ARgR`fUu(;Wgx<y+FPD*bc7&{`4$5OSo
zylzp!g!V&qJBO8^zptXQBT*80i0-!ZIyG$XWC;rGR)(mhCto7}O5@9eE1nLWWSpH+
z_@vLS3Ky+r;KUVK{8ze3eP&e?mDi(BY`7YHx$VN(BQKBt0{{U3{}h*ZIMx3f#_f>3
z_d4b=&Tx*+=W$R*s8B{p^;MDvvP#Klh)P8wvS%qGnVmOLvPH@W*%TRN6#4o6|6K3u
zzTVgK-1qDL^y%&uD;)wF-Rrx;VuOdP+73Rq;uX;KUB}tDDv4;orO%V!R|AYgTi7@y
z6j5P))T4tRNhon#L;2`mEpRe*?-_cogvO*_KQ|j9BTe^~9KSUpEHJ+?XSGv7PmXHG
z@O;!p8Zy;<4TWR~rT(d`SWrbj^@JEDGbl)%weaiScnY-8%Oq{@;L&cZ#PEnQ6=idM
zdz@9G1Dfldd+<^k2uA$AQ65oIB(vYqgMalPkH*9I=e8zF`H)i@pG8G+vu{sa^)!T<
z7z;<yUM)0iPN2SYprZGcO0Oe^je&8R=jiT90y_ESRc&iJ1r0_vDDB1rba_kPIpj=4
zyr&~vW^QVuQqhaPeg{m!ASHA>Ii84)bxIfT@sp9pkbcb4Ng7=2sS4A|A|eXrGWN`Z
zhzQZ-e|8RL!0&FDa44LJ(tJO-#`$X?+mB~_jd;yr_TPa6HCjY;A)@8>VNO+~@n-76
zs|0f(PEP;Jb|s*<-o5UzkvK%}ctd(LZVtgGd7Yb?v`}G)>*+WJ8N}?T{55aW90pTH
z4CRh#pla7*;!3SBs=qJ5`e(u%3}$Uu58c3{=FJRsNnI{fbL6_gMz%TlX(zWHi%>;1
zTl#D3iJNr&x+<N0X6E31yKjj5xH9^2Wxuuu-vIrw13t6vgBjS?jz3e;Q$$|rX7wWC
z)7asV7k#I|4D7Ua4VLjJpeJ&jfqjC1u?C;88tQWzurEdb5gn67zrGau$h$CuSutZ<
zt{4s83_l_M_fZmMzl*u+{Co#6X2~Aui8KYj^q|+DS4EMsOePNho)gXpGq~Mb0w|4f
z&lqzPLJIo`Ax^_wP#mS+lYIg}Cg)A-Ic9#;puI2RsU{D2Hk>QssmDM|`j*ea$WBz>
zJt!SA$^#FTXP0yvOrVlFtZ8q-hOYQc{9{t#g>DGgQ`c<_&t2{3J`fnu*CIWWm(sj&
zc=g;K)deH4);#v!P<x$DDKI~oyZz2&EUqbA%m^H47baqUEzp&x24{m}d0?Vw&)vOy
z3?YKE(d(w%7@hn6wNUnLJ%r2Okm)T0xQ@EszPkIK9(f?Uf6qs5n9%sd^SDbN(#bWR
z0e$bWCSyen)*IY#KticAUS1#03pEpy5=Stvy#E}JIB-Li%TGdhh#oZcl0LVq%wo)!
zB^@J-xnbAmb%VAqy3p{bSTgOzB6gab(!*@c4evNE3ou~15cgl7Ez^PDSg6OnMXOM5
zP);{ht$eBj&ppjkSC-bWd>7}!fnIJ%ug{cvE~5kMd}6Ca+YKz}5Ti$?8xL^JR;T4B
zQXyl%%b33Z7KZ0*e;~uf3(`hHaZw^vh)|W(GS+7V(T$K#_hxv(Z>B6z>oEmff2v@4
zPnjU$KH=@%i+u1OHS}Dj5(RuNwJ+ZmVS&b#w8<q=e%Ph*FZ}x}ZAkTZV5Nq!g7*2t
z(>L1q;p2CUQ@B0a&@!xh>+&oc@E@{gTYM}41FPkYe$!+~v&g|M9byN|+sjW!A_c)6
zxA2lbh74c5{yX=vp95yZ;x0;D7lI-?wrWcX8C(V2T%^5rg2sE9N#87CkiWAj>o-n<
zFoNx35<53^XS=z)8x(=6rEC6wACrJJc*19h&I2RYjmkI3Vz4U=?|;&b1Q)MVT`sib
zgBuk~v%ho2Az-Ojaxabq`^v*uWPu+9Wv6u_^d+J3u+ym5FCtVaenp>m3&8s%j`Y3X
zrQm+*{gta7MDSRTvaviW2;rNWjQuq-FrgmcbL|xo?uFS@HQg2hk(tFP+(9{Lxj__(
z%p*df@Kd?F?ZS}d*=(ABL>|Pmo;2m<5`o(je<)W`6huYR(_(`ZU@)(zfL2C?eWEh$
z-{Qo8cvI&I!xJ3LIDX-J+eL&sX}5CQ1SKHK{qlN6mm=J2?=*bHK!O+5#=eh>B*Aj`
zY1xl_%3z*<_-qZ01d}cJGER4CSO`waFLqXe3@JAD=p+)f?zx_2t0)U0H=^=Ka#W%I
z=Dd6}8yV_cPACL~$$@thVp&;MgHDCn!{V`I$Pl4>w+6_=?TjCSzQ*ccUwv0*1g{OX
zFPuW+{1ss3ZXLt3OB#?fOnN{a*9O~@<k`o8IG8*m`m#4y6OuYIvtLzEpsBDUfE20-
zY#aIP?B!Ze((_--zI-a2JI3&2@v0K=|MNws(+IHIAZZ};QU}^L1l>PhRfflv2ftWp
z5Md+$A1T|T3!aDiI!uC8;1sKSXz*zwID4qRm)WTgCxfD&ueqy&1EKb{!A&A$`qpU0
z?l*wtghi1vWHq=aXp*gdg$Sm4pS**!4PmqT;;Z)WYEZu%==IBr2*+2+u|?}f5S}$x
zdiWY1JkG3?oarV2o>xp^&dLOIBiO88uj8SN@ts#^l@^?OBe~`ni^0p4SLzz(>cB%?
zQ4+J$glE$4o-Mfn{FCo}EqqiRM6-0skqPSH&Uw^^XB1$q<j#L`cIr?%d0CR0ss_q*
z#`0!IQ>c65%n-q;4li7<%?Dplfws5Bo>nEMke@K4CzObX!*}?%3N@5qYAo05<!@7%
zm|-%vUr~d{j#}39pA~?#lgoUMJPqPw?tE3$Py^D>h>HFja`0Dxo*PJ^LCboM5;9hW
z6sM@^j7L%sJ!#~1i%5gYD<k{JBo)Zslj*7HDF$sHyrOeNY4Bx&WnGwC89Zf$*;1po
z_nPVV0iPeH(6-*&LjIx%k<iPSEXWU04CQ<uwsm%5clq&2IFO=@_Wu>)0*Z>`bcweq
zxHzpekq#(;0`LiGjIhCmt9|4jaZ@159Ju~XNFG{Vti5%KWP;cco!#2?0Jr3wNVqat
zaBp$=S2n(hS<P4&KlB99ifQM2=pYS3vT?3+dTW^NvF5xjR)C4_u&5XwNqAQt@TPQd
z8ME`3<sG)d;NjQCLt`^yz`b@gXn)=U_QUzBjlvBRNd6J^nP)}>c3$jon;Q9nNeSn1
z#Wos4V%L_RA&)S;yy31>ikro5msGg^$7T#0aq_wmu7Z$z-DY;Ba~flR_$oHe+6XL6
z7fVIk`9VRmMZl(T8jE*Y4Jo*92*1`|a9;G{1D;Zm*8w3jnC$27ES_NlkY91TtFw;>
zs{ZDrpWyqBaozsSx<W7j6*nUl9tkceT}(*mvz)_*V)YAxujzxrnoT~NDkt!A7uSz4
zE?~J|l=h_z>%mFOP5*;I>>z=Ae9|U<5o^r%d+lnX2lMMmn|v%gAbN-^$9DfRR@EBa
zo|~ZyRG*Mbrp>Id>AP}-kNO)EW!4Bi&!G!lQS9yf?^pnvd&MxPyNZp@@)Gg_bU;GK
z{OQ0lGjN~CE0%U%$Ew{QWf)FU!O?nC%wR7wBpMwE4~+kdF&uT=Dep!FIe8tT@E0b?
zCaH|5%xz-dODuoc_E13cDvrDGCKKF!)*;+TVgNqc)6SZG6nHXb@#^joCP26P7uP}=
z!6dss+^1U`es?frR=P5Q5N)Qvv5yJ#c-y-?T(m*#aCl^JFca*a*r=1WW&!EY;<d~%
zGBnxVEDw3j1iNBzReL&FLFH$N9?fst$7ac$jUvpzI6`I{Ji7yu%-a$jS;-Ln#^Uyy
z1ZKd_Vd`nB9565O`R!^7322iA?ot#MC{1&Z%x2gL%oWmd`}Ii>c_*~$`yvZ;BK`N|
zKV0CWJ;52@PlSA>ue)z`umbbwvyBEZUbt@FbZGr55gPZ3e9vlQgK_aOVdi2!2(Hz`
zw`}`Xn-=5|=61m6H_k$nGyJghL+tU}8UoytJ*V$O;DB8&i4N>Wg7AAPIm}Lj04$&N
zvB3mRc)h;f<DV}CnXX;8v<tN0n1@2HsR9>pkd8~}lSE)a&S5N-q6Ok=mpC77bHIKv
z+Pdc#QMh31$}r!d2_gCH_qkv3!l=YKx%D)0;H@0}gF-c7kzMu6#xNiJK3DG96)g$n
zODl)gj5J|cW9{zr20vU_wEB>kC=K5Fj+A-<O<1@5CJ{px1l7UotC`KRP=Qa{k-?w|
zxR~?i3K2pu-bD(T;g^S|G-h#s4ow)P(mV!!2!qn+D{o5nDL`kVj8rgD6W$rAC)N9l
z!oHc0>n_<i@C@oya}3c0`-46UMWW&mv&)#y$e{#q+~1C8S`$`Q6Un$f2?*ZfAIEn^
z8R|mgquIl?AolNJeZ2}P7_gKTXJ=FeMP0vZ^OgkY660bzQziqX+0)hg?x?{^boG#p
z0ud-9-gNAQ94M1G8#(0F!HBe3<WoZgHih+%QepC-^(Mik^`!>v?HAaP4<JD*gIl6>
zmI5S(I@sPa)Pe`H>@)w_ks)Sp^1w(34tgR}%g&Y%K)2E1eU6njWZ1|I=rbt+ReLvf
zK8gsP*RBX(KS_b<t6(XiqYNLl?p7R-Ab|_F@{^l+R5)VQCw%RM3IuL8Yv?>60n2wq
z=h_{*F!#oa`R;91NE2^ozBfgJJbdzDzbHKr@S3ys%T|MhtY8CCJ~Bu?y`j7+y3M6M
zGEP-lcsLjSz|3Sjzdan6g(IpAL4YwO<yNFR$adD${cIqC?Q+Yw<uPM0n}5*GV59*j
zuFKCFT9M#i(%qeX%oyl!_0|<NY5?`tR^6}rL<oL4blueo!1-Hcy`+RD_?<rbT*aCI
zk9?H<MHx*&__7tFBV~JEWX|4yvQrcEPZr#zWSPQIdl|v~{F;!{Yj2qniU+>^6{SUZ
z8aRjf7dsYfz{O%`kH4iV@cx+Uvo8;5aO4hu;XeTl&`sWjH)v6WIsKB^=Yuqm{#?dE
z+vbcA?{rhEL3uE&Ns5|aF@y7Zf4fDgc$jZ1-t7J-4I3YFu6A*o!8@g*uRKg@a8-4z
zz5l)#EGaIe$^D^$0a2)+?wJa#|GJ+lm>>u&uA_v&HX0lg0IG$FGEk^vW?s5HklPkv
z{V#?FKi_>3%b+WQm<U_qh$kBi9hE1t8_+;uOA~ik9|r@&JLb*?Z(-?i#u23hrXcv*
zGDN*p9_%WSl9%T%jQE2?y8Oa+u9Xz?lxWLAr|PA@ii49_ME0X019nqjl4&gKxhf6$
zzs}_|U+u!YqMJrOJpxF7<V&-!mH^Abg)4raUeF2CCmL?50#s?oDCkIwL33b(b9H_<
zy_m{en(2$dd}hgqi9%sGAg*bh956&@o9?l`lwblr%h$$#oe+fe=SzIqPe$pht+8`V
zZ;avf7aPUU{rvDqOYf`t@o{>oxzBImA4bq%tl(GO&jTUsLj!k*$LZA1H8pB-Mqt|{
zH_LZsCy<}*8M)^^PG21mtMqm?gwY&+A1`Niu<yWlH)Y1?3aEZhPqG0-yh<C;c*F`#
zUzLx>I)0-+T(S8?`=$?a(YkEXD$LL$>!2;Qe~508jqkdusSg+1A3clTVgUZdW)q`J
zeROKj9QWQZJ!oLPr*lX5A0|?yZ&!1$hu+}T-*~Q97jEB6oap=h2RnAAT-8^qoi4#M
z9hgqm1?lxysEuz8<172#csbxLeR%bRc<uuoU=UYedH(n}rckH6{H(r&zW<lBzSTMv
z_@2tBdqyl{#V;B6>IL1zqFf3b4j!k%BVLux<myF?R@-8B{M>77?YC@0W)}q-{g|_n
z$pSXLIDW+ZX(M*&TFO}_a|#5VH$FvRpT`QH)+=avc3{jbQ?~o6w72j3ee)5HADDBT
z%L9g>9_+H%;q@~VZJ3@fae8-Q7Mrw)tFlw;!#MUO5Di|E;r>r@-eYVAWAtPaO78lK
zai~~bNY*ApmfuEqw8u1dHhkrJhS4`Hng?GTP(gwwo5wp6JEpKFN)1*{31e6pXWvR0
zkRWBE&W`u`6t*lSx*4`MfdwA_Y;V>|1VihWcg|j!!kXvnz4&~lv1ElO54qilz*kr3
zV^cPTomTtt(QIWFE0TQO&C*W*{)mb)GsS7_>9Au;R_Yu^ahr2cWFdfk*v{P9mT7E?
zD|$y1WdU;?PULdm&Yk@ZPTrLTGZ+O(Z#!NrVs@hZ<YaG6=#mH<XRMvYA}@}ng_<v8
zETK5X##{{uG3xj^#`*)peLRpIz48mQ(_9<tm{x}sf!z`o*XFRG{ES#?^9r`JCZwpC
zs1DXUBKn(+eq!;4d8X_QYgn)6_lo0J@KBWUHRW{T0#-G8^uX8YKiHkK9O^&1)If4G
zV99J-$C9Pf>7T}%Sd4VLp_95As1OT33`{LyO+`K~<4s$bqsK;S=`B@I{iM=+)$A8m
zA<Muxx0?|RFOO=gEU3WGoCNmqhTqt}@N2D=txQ1X@RR%MrUId6o)@Igtzwgg4T=7N
zEWqE{ze}K98J-q|$(2~FW03=AAF^7pfpfi+oycxwc=s<QCw|Xg?4`qn%o0m>NVRxl
zX8&FZ<d+8gs5dt;&|Fd!xyT8V-peb-_DXQF{8dEQ<`%Y0Uf&>(asiJ_j!xvTA{6v0
zN-jAw0?Ir8!RI>fc28dBpA1%nTd#_Oi$5`e+WhfvyL9-0A-2-SO-d0qv9$nNFbkk*
zkI18K0wC-CMT@5e2e+OQ-x!#)!Mg0f)6FqLAb1phd0)ptw>x<*$e10X!aTo!zaRo9
z)QB_qy*SV~6&!){;)Etic{}S^F?i7Q_|h>v4mce{nVvUsLAekE!S|B{NLE|IJy9Ga
z@3<=U{x~lX`mNQ!Y;$_{bk2CG1P*>)l2%id<%hCxOvRm54%EU!-W}A%LB4&ac=mGv
zSdCr@3AiE;@q{xEUiji59a@Gz9TNhZNKC<41P8t3mbSch9OSVCTv9R-f#xGwm#A%u
zaMSvT!@7eaG*bDZ-qFP1R8_5qXqGaB&d9Cmuq%N_#D4ZTKM8P*XG^*9P!;+ryFYg=
zDM6$E57wr3DbSN=ldjChLydRBK^`d;5Q-)^j~tYR%==8Mn@t+fb<rgJTdXSlh}kT^
z$0iTD8Zc<Jp#`s5as!{);lalHouF!<0%Yq(-#L&>1T+4rq7U90;QHZ)<b$>C-Y$^d
z=>3ue4ZGMChi9}vq{8BZ|1BlZv~Ildsg?{3Sfo|J3=z_KNTNTKRe)=Cs#Wl%HU!nL
z1~Dd(!Th;!p67d2sEOEF^C5x)3JW$tr-LZ)#r24b_i;Q_vqn(y3REb!dq#-3tplc4
zqbR8h>hMa2@oh~w70$9|KgBxr!0FGk*0E!n+x@SvFZRLqJkelIi(&}lFM>roo@qhv
zlM5RaHdOfFGW=1$z!><20+RM10?hk09y7?KK*bDx=oU9X#)?};`)(rK%y7Gq60Z&S
zns-|o=x^t~B_$fWL4?Y3{#!H^GCU5oEDg1xfqW`1<z*5PN^TD^^m!6tU6}LNpq?2F
zq`P$N3ME2QpbFl7n>$?HJ+^+Xnn6(Hf|Z9B5jHGOT%S9o3Jw0pO3z1_!!c28$AjYp
z;F?)lKKTO&TB9xYQ=iOXtDjseDXaxt^ZUiGY|4Pdsxf2bvN`m)Yj3Gu)&P%7{x|KC
zL_j1Zvo34I96S=ZY@`eE;N|7q)Hciw<<{%o9a-kUbp2y*?o(CxkW{L4&y4{Vdhh=%
zwlD`>b;?B4J!Q~{kWk-iF^2W7?JM}(ZU$Fc^@_v272)B9FJH~SkJ6h5%Y0jQo54b%
zEN8iy0*r1|uBSJy(F;FU-H~`r11-0NN(ogtU{u>d$#rBxgKGiF;R-ZxD@d8D1u0m}
zPs+Fbz=i_PczTfUm_mY@$j|BR9<DcW?Mloh2O1j{X%gQA=+&NG32PF9!^<iaEgD=%
zPkl&O#229dMp;138GdMuGw+|c&5bUe88kW3i@`JVq=AMPTu>C(<#=Kr4|1(JZ~gAG
z2{`*ZHI;JjfV~4I0}JUqXuqJ)NB2o%C}Sjz1urr}Id#6kHH`;_SUpRqWi$rPfdlL2
z1%EKbAD?}Rr+Cn>v*m}C)QsTT*OzBM9bUpd;n`353iF^zDaP;RZie9P9m;-vU;@*c
zH!pN6=SG$vGo51}89>TaXZ=TlUD&~}p<NVLZe(21rPn;94=F?G_vJ*Y>4rYO?pr&#
zk*AZQZNWAtFb8wHIw%j)B@78{xE?M9>K24c+dO=Q;pDRUiz)i9fvA$@3NF-da<BC1
zs4fJridd&>Eznu)-ml~7TxjV-pd;F?3!SGb4<^a|q92GGdTBk&h3+qw-aAmL11utL
z2^Ze1(nSx*X3QILqf;_H-{h5aVC2g1jqjp=>7+U*b>2#DG&@lBcqWAkVqjo?+wdQq
zX}nHf*MkR%?^qGOAwh*>@6}X2A2Xm8?g;V=ZC=C|1~TKR6xdUs?7+N}32naDbhnq_
zLx!HMee22;P=0UGebA2?X}4rK3cln+Tkj?XJ6~yo>c1Gt!d@2S?%g3!b(9~y%P0H^
zwblmK_Z>Y$Mr`P;>@xF|ngA*%xYCp+w*4U>2NzYa167~sK4-U65FPhkFWtCChFaYw
z>#uSgXnsUr@HLwdTI4#+w_B48YK{IDbGe*I#a_;RT}l{f2^j8o86ZJ=OZQe7#)WS0
zHniWc6G1;mcbPl@LO{L0jw3<uT;FHXJU9B?m+<~YswiUJ=V=seO9GK*X5N5uUes%o
zA;`ihj{bi4K3gt8f<gnz$>ugbG@99JH54y_Hc7R=+DC|>KcrRQ+R2ZSG)$N{Fe$Vu
zLbXn=AOgN1@Tk|g0P@Rm=#t}*LB&U&Jlx#&(Qv+OVdtGfh(G9G-=$?)^zQBX51TiM
z@QHzc_1rFDlx|@7jde>7smYU#>LQ6yWX%}f@lXVL*v}V92`QiyvD&D(SR(A#y&?YJ
zrYQ0koGm}3heHw1m6?09i4cD<Yk&VmakQ-GOepeJL~o+*BuKUs;dzylZw#*_`ZV!7
z$g@BRDT-RXX5}P7_VazKC#t28GAH4t=8`fxtTCW&<GTGn*?wYQF3X_!T7{rNQ&lvF
zQ`F5zr2qR@UN>G2abW$d2jkVy&l^6DttMnBk8M2YBPWk^FUJe|j^mN8PSa`AUNSVl
zjgU2$Q9zkb%H(?0HPGR_u6moB+VJg0gvxOR9P)CYx&1q)iPSfFPSrb6z~J-!07JYY
zntZnPLnmAd3Ek$QkC;$_UffSjAuFNhJvjcxPy(v0uwoE2(}63gR`{p7%1G@t?~4Q_
zBDxdq=2hpR3ztXv^`|H*XxLr+Zp(Qh($Hs#kWJX;aQ-5au97M;^{d~iP9~z|U`@##
zgZdEj%H-w_W;K*F*<hCTgot8IL#n3;hH$sWwLQ2=4cU7=nn(^NqR1y)h27Ccp!qBH
z-;;BA)PEJ*A}JFQ3%z={<eM>kGuC(NSi&QRtW<9&TLQYn@o(27Eeyh}J&RZOs3Yby
z#xKPynrQQ&P+g8TfKlkd&eafgG?Vy>J<whQjb;omoT&o{zW3kUQlL62XrEr~IEF{o
z-KQU>8<~REUc0orG<7sx_&WUpri#{k@m|cCra-uQ+(Y^+9{m^WxtX@2gsK}R+?;=!
z!k2e;oXM7W^y^g6$L3@la(*FyF$zb6@zbe)5^ky?@1c<(YZH0&wdOS20}~pAJ6|II
z$xuZv?@#R#9G6B^$vYQQOleTQCR_75Sp}s&a=XYHEsk1M_h>%UqJf<ZMZ!Bo8U5KT
z-j9zEMg&v&3_*4pu!_XtR?U@A{8H-kkYRpwzP$Y`bC)S39qo>zvM3^912$5uBR3L}
zyZGdMtSRuFP}j()RX{HebEb8+>_98JT@`l5rcmzvu2e2a9ucN4k4DKeqXy*E<}eBH
zhU8m5M3qCz6@JI_68_Pf9ruonL<4vh*nRWbkVb3rZi6Q0*64Bs1KO$@08vQypk<yU
z>UEo|CKoKzPXy+bor}XDsav_2?kkSCZ9c4Ri7(I(9W)8)ZZQE1nYPK|BcdqTe&E<7
z;XD0fhiV)Ly9sbm0=aVig;8y@`5S|kDZ22Qu5airV?a)|qKq#Dk!+%`J!U*f@3ly4
z#osi7X+q{+O#uOvCwYIQzkY(g@I1tT-ew3wIz9FsDSU|NvNzMpc9Q<U;L1$4s3CBl
zO^_IS%!8^Jl02wSr|75lw)TphFaVN+bDFay7aHXn*FI4?L-&YXNzkp-2d&jZ-{K58
z(VAYwL$dh~y3|j*KRfvK;V|yln@V4H#5ZZF*h>3J=XNp>i9DkRW1mGd+9%nN^i3aj
z%yyCP%i_qJ+^!1(YcXGIAF?8sv!6zPOE1%NhWx;Qq6<6)t(mcxS&+_7t0)bg-}L67
z1fji8bf7tJcanD^Gg7)Zm3viUl`iFX<X01y4qzE|w09#+sQS}<0+_DTqY`cI#D`HK
zubAVO%K;|z=ZesEwTQp;>--HRIV+Uy{;Qu${>_MpWQU7{p-uYLjfSZuUkW5Y?0s2T
z#fXer)}-^)84&;d+UdYWZ759L|GG4r5$TkkK0pd)ME?T-0RR6Cmv=Z7ZWMsY-m`1R
zz4jg4d+mA8H4`P-8Wcs^O6r$Nh_bSaPzp`5qEPoEd#|FXkP&5MZ$JN@=lpTbdA{#`
z&yh&~$4>Fr0G7(p3ey5+)Rt!6bo<K=)G&51Lve!&#+~;9CVnuZ{KOl<^}AV7n|)65
zk-Jp*W|1)!O5A}Cgw&+?bg-d*pI)ZF5>!ZYV!E~`Wd}+KyT>7Mkpq1`6V*GMM}b=^
za)%ogSWx@fA*CiV7c%$|GVQ&a0v4gqB*t4=kW5-i<V!vt)GCPKP9G&h*ULlY-|w@c
z)yXgSCHVNzTJI*c<SrRByA?UrgV<2dy8|Y9Q~{)Z!(#703K^o8BcA2oVMo7+p*muf
zg6Q=A@Glw+bzsU=Qw=KQKzxtG5^A=DP_%I1FN~5pkp8eXFmG`pY0S#>X=f4SFjpky
zouURWD!VHB&v7Hd>F%?NjiM+zFpC{8sRo^k8<mUfyhzR3sD{rCgS1Xve4X@y1g3X3
zBhJ?Hq3TZtMRYE4loh<3A!bE_6NxdgiTMJ^R^aAB^H&Kp|E>DPp;aQBEV2DO^GguP
zzPR-+r9}#@b8v9DGKi4p>h0psA&i#9-uSwX${_h5i*Nf=iQw}jSX#wQ1f4x?U{@q8
zhw!)8?+io}!Eocy8;6IYD6VnMvCSNd%*tQyXH6%<K1sTYCO-zHcI?Z15QRgr?G0+X
znuri!doQgoT?{Gl^@bIW$|DTcrDa))1T_|^n~K&F$RBSqsBEu@Zgx24)g+LB`eiHg
z0Y(ZHU+Q`f?Mg_w(}FIlqXv5<e;3o4WKcqY?svO`DrnC{@4t`S>d^mDTr-wK7EQ6Q
zJ_?^vMZQ*a`w=cOcy^m-#V5%jBjxN1c@YHkrM%QN^%WWNqP#!b7Gu#rdRxT?j)XL;
zDfd60rob|}#)<L+hh)O3bAR&Hkjv%$g2}d2cqHzykt?Wxn6AbYaPK6euJ=_vW{w)r
z)b{i2iQS6mNZuv}TS-R7=ZKoVH#Fh%sywH_EhVItO#9L7NI_n&Fas`)TF~52yyy8=
z8J)>wRl3_mL7FTNTR&^-fWCD%2LDq9MRStziIP<06HJ(?W$1!)X<XHwB~?WE_fzVE
z0ToI4`2{T<(T4`+m#3H)@kl|~SUO6XiYC6e8L;pg!j;n&a>OnII!F2Ob?z$#op3Db
zxmsZac5PWhZ^MWvr}yWa@O}!STN27Fy=ZWu{D6u$7YXUvUQ4o$AS0zD-UN+n0E>kn
z_uHO?CO1RIUWlusPZj$^$Eb9uO+U))ag2nFyT0GLQAR}CyY&y7bkQM2K}5WhLP8Th
z)&_F?cvR;${>H)C1kBDiYtL5_5#g8M>s5j>I`1xe;#Ii`c$7+PE{YP-%RSdME7cTG
z#OJz=_)Qa7aYxQx>I8Hrme3?k!J_)KjWz{2QyBXg`>a6>k17;X&Tb@2qtHs0SG#bg
z5VL;KTK|g*x)fRv)2SeaA~$wN-QzF?vN%P$;-WIT>=8^rcwr<pIH+-|+XSZiU$y10
zC?cPTf<wgrw*R}-Uq$g~6JS%a%D1_ofNp%r@#t-0LBlJ`J)GJm@S3}Ex6&^hT6*s+
z%9Xmx&|g2nd}_PjeSe$hhn=vf@qJFrQvEc;je&dm&xZ~>^84|-a%9myZ0Xk}@^^+P
zTT1!66@bv+HYwxprIE`PdsCR{Q^u-i<UZp&0F5-y3eSHMNa;LB0jlVrjo(Nv^2Gr3
z?wDq|bwCWI1+ujhr3Yxi7ZtCVS<?VB^~ghQP!yT8)e5_84Abr>oH|-^#u%2V@6#SU
z5=KGTK+*P@F&gjJuyvm#BM=s-2@Qx5MA5$Ot!1v`G*f;x|DB%<0oC%K&vWBLksa=D
zPR5MWZtwjOCc0z*ygMCcOBc8h<tV&#?)^<OpOxkcq!>Vto9@v1I6HbQGjqP{(ipAc
z{Ow6CKYd88>gT#iWktV!`8V?=kI>jgyiN$c*8?}M824ul%t$XM&fUf97j5YMD6x%A
z57Z?*TqW$c7@ydzo?X})pqUK0{#JF-1rwbA0p|y6jEIw5XYXzG(^{^MKka*?1BErg
z&lH@O8QoPI`MalkXy;eX$z<~CKv~4t2d2;k#szzK#em<PwCANtaRz6#p;#KTx-K%u
zU=3bB;Jw;J)9>mCy3nl!>38@K^{>w`*oxvCYA;mL?jCsD%}>*U?{gBkeZEtSr<c^H
z9K#A}#3tvI;ap94V#OqK(&rBYgew2eB%G!#Io*h;m(zrQ`+UL<4gY2g;H5gHIPw|O
ztmnfM?`uHW?Q%oO_ECn@E5n`2N{Erk+QzOVtN~npUSW!|Ba9KYTRJmL^^CPs&l3*E
zQo$o=>QzwfFGlL)Pd2zGZH%$oYHquPsnF1(KAT)I#OS1!mTpFMF}!2lYxmx#z^S^y
zR)v*8#@8!COEN}1jL6)2%`RCAq=bvyk@X*BXk{3$eVO>icqiype1Ds7?mxNJ((!|g
zwq3D-Yma^~uq^DoxAn<T;8BzLL3EH|fBtc~tHvN>Q^uJflA;bnf-h8()CU<w5xH4q
z3cnc1>_%R4pVZ*MkISRtSGM!-v}J~<jxgR6?av9$kwE4|NdVv9LB@dUP_UWh7^B{M
zbh1i?1mC|Hv@P8oV(cmyd{G%P&bZ;agp>3lLd(5x-hy_&7{Prz@-~P6FxsB)m0HUp
zz_XS2t-ADKhLY{l0qYA>jQuUP<9q+$f#fU~Jm)sTU@G-9e{p|?v8AlBxS@@QW76DG
zM;?tbiX{7<?G%}1-16l)wHmGp6J2e^B*EVdy8}!qZ}a9D#oW8!YX4Ayb^fN%+&ANl
zg5(6V^s@_$<OX}fD?Js+2(C+D1pQ$Q^e0GbIWIAuH9Ge=rYZybo|wp=VUvt<ZT}GS
zGb@ZzpX_r6Ov+HV^Gc+0?KER>>82h_$r@wSk}u5XloCX}j=%N_`;T$=?&NK0olS;x
z^YxY4K1E18*ZpAf)-2<%b$poTH71nUTT;4arwB^z7bPdz=NVICUD9J4%;@z%_0Rkk
z1sGNN6Chi>z?knXVC%?XLGER)uKR5jpp3-G@r+(#ur$4A(fE%I70&Ri;Ctku=kVoz
zuKO#DdY{Fqn}Hli?<e2B=f~w?qOW$U@ADdC{O-@h_(Cp}Tg`1?y@rELopzj(?IuHX
zr^4GJEHARO^S@R400*z8VnsYcnGjDl{dz_lKS~t4dHS6(4&Y7Lp9t0+h|i_ao<1mu
zURTt&?w-PeC)>}A`>$9K|E-qrTS3BzS70t8?Ku`KSU*G^yv~MPych{$R-%Y~(Qk-w
z4htu8ADr5{&VhoWe#e&?W6;llj2dK$1;hAA+pPjFRQZ-o!2Gy4>YR~s4O78_V~b6l
z@-ALP|9M5}36ezgwd5{IIV_y%6K{>F<40YNmA(ZIGN`usPw`U{7Vw7u{6Br&uJ5j@
z-o5Spq+8*%%&-F%2<D#Tnv24S|J!|XVk#C9k4?RHNX5cLDo<y$rYQ3KUF!eRR30%M
z==*5Ef`eU2A19i2VNk~Dv93`5Z9in@ZhcC^!O^Y3&^1kQv~TX3Aj_H(3SB2E@Vm-G
z5#jV#{i~8_u~{UmpF<T%{*fEgbyR>wt3L~ZlhVlGp`e@&m4KqAg&kZH6yc*H{k?pg
zEIL9S`J(JkLP9@Vdk@Gc!|<=}>u0D~RQaUmq<n)qTJE0se1Ag)I65|`mkM#HT)r%z
zK!}1|rk<`nHYPy&&FI>BO9jL{7rB+APet)-#|qRYNTAHRp;SAmi0VaMA2K^>pmj~x
ze(_K;d@C{Q!aY((wpPS&VHZvG^GjrT?mjA5hlS>JIjEwTV2TUBh89YErdycjpb7dN
zZ>w&z5zt@t*7DmuTFAQf_xZqhZO}40pI?<tL~1@@Wviu)t_nT16k^f?b|?HeRz(dp
z_!S(VHq=HgTAJniV+~;Wq2+^`>*^@OztQf(pcXn^B5&M7Hip?sZP#RLGCHX@c<+X!
z782<0Q@1z{kft9p`m&IWR&KQHb{W+`Q5^;vahY_$ZKRJ!O_EXKtAxXP)>MSKcxdPY
z!vt1eeX`rVL`EpRy5^-b8U1sn4LcN>!i)cso?~0cXsYGOV>VMF%FwoXbIs2TM0T%!
zSvpHb-RZai-Ed{J_|5Dje#s0{-K0zlKdPgFz2qX#w>TvFS|_`KW)8-&$TQMH4cR=(
zE|%n!Mom>lnHXDhNI1)$>>NTw`)NH<jwT{V;OP5{?gVp~ea32W?lvC9WUA(}l(D1R
z=4r<dd^dxK-*Weoj;Np)!LB~KEVGPF_4)AJvu5zPaZxgPmlAp>Q)t3T?52%QMPo$9
zO@Tm+wzm8tk9vod+DJ`HG)$FD7|GETge`LXD&w(eGzOde(t-v4DldeQ%S>RmSY3_i
z$6e^!?<Q96Uz}jCMAOWbF@ZbtQ&Jk?l4zHUq}1IFUU>d=;qcQCIy_k~e?K3ELCcTA
z775=3ASC0yQ|T1Id>>DcT#qn1AaVD1X1^f3*hM`Q-~kZN6MiwbiyvjZB`n+e3c=CD
zwMNq-8l=oG6op1{B2afbr2Iw*+FK7_tuHnPN@^N&$oBpA<8#QeHWC6kD!-9bjS=Kz
zjD$}+uQ6;w1An*W2|*UGP4MYohCsBesEXv8WlYq3*Z*@z2#z1q=qceh1l1~f;MYUH
z7{3#$!XLW|!S^G^m=SXWSj{XI+YwR8*i%2Fk*+EP8Pb3ACc^choqOH7P_UEM`lISx
z!j>R#dT6wDbm_s2H&c~^;0W!{ph9ihfFP_D+eB2U=)rQn;iSgkG;OwWZ7HT*5af=H
zpI{5q1s!&g<-48pwEVEto2H$D;9D;%!}3Q5aJT027U?Urxj!buonwNqyEdiP#90SA
zEhJB8*=^7yg#NRy5f%bN)s%zYjoOf4uOS+KmkC<0(>C-Rgy0sxJ~zos8*YEcrBSSR
zz?ffq0(-6y824FzJW;I$2}3OZEEiZn;o69NyNod0Axdzs@6m$n+T4nq7&bUhqwm@E
zOc*3*K8KI>XhNJU<=I0S4sfd2mv+)h1pNE5%d}2uLP%wj!oO#na5VnGq#~Ord@ss9
z!^)-!=35Qrt5k02yBR%K|4kG=-88!!oUH*LI~qkYKk<NM0&7-F<4&+Y#IT>S(SUh^
zy~dd%d?3_ZcBl9=2ByT12t8h-!d-4J|9B1o&^joDV_p{nVNLsm#R4jndEPvF?WiEA
z$sBalG?swOQ{U{*o~J@RUyFnE9wE55Dq8m`O%fvcwRR-wP$7Wp$wgP1FtAo{jPZ#}
zgQ?{6W<gFW9C6xt>!XPX=nWn?u_s>!WDb7#^=OC!<;w0x#g3v-vJ#$k`M50PkdwtF
z>nRXOVhCKnx)YiX4Uc6!l!Lv6uZk|br+{Vhj$7()Ft8OKDs?s<3$a`2nMI`(*pr=P
zmbWAZYFwSIH<EGSQ~xG|y_y2u$8oXg_7WhQ>2B1NBM&Fk-poD!Nr9^LhzQ3|l7PQ_
zNw2?B0ahYnX@7aB5SP6(ufswb<Y!_p7K|vuZ44Bu?V*A<Crv8-y9_MkBtLpCpbW2d
z@jM+5sjvr^z+Vw23o))uonD42aNVgPM`ecwn0vhow0bND6)m>7ciyUC6UCT4eM1A3
zIx9s^gks@KS(QV46dq)s7c@Q+(u5ZW5(;*m#R09T%6@r!e>&&HoqWDR6RO#Kdb|(H
z1Gmyh7w1bN{9cQVlDw$}|I&h{-&!d^;8qPqB#{J6&FhXdS8WK@A~h^&DS}*JXGo2k
z8oU(0Y=NwFz)UW}>b|rRm^hhmTwYLv)xXJaQ}*e?^lR=*!7EDez4SF##6fjX?bRjK
zc<I4W=ZIS4dS&R0UEy8{RR;xkKZ42~eF!>kf0#3L+hbcflB2%rAXa%UE~&@>d@-A@
z8_KFs%`E%Flv5qHvS!I+1BOs=gE!sbjVjR7bE$sY^^^yj|D|#ngN5^R`ShK5_^GGl
ziH?#$E;~0sN|6TqYeRRKo$+AVp}YA3O9ZNb9X@UQZmQ9j$-H|W4<)worIwj^VAXjw
zZ5|Dfr{c2D-UAO0k5&|#PpAOf3J>}E9DtzJ&2Qz3c*wu{Ku(%V8ETm7AAGf-gZn?}
z>z683L9Th<XdjOv9H0Bn%(zX5nP<^LH?>q@Yk7dfhFKoe8$v`byrBa}>IEi|+bVE8
zxOrh>Ne+63_f7~^(?Qpo>UE}A83r!Li}J6^K+&&5qS4#&8#|nT#nmf8OqKaQ0bNOG
zFP$e|ETn^`4~D=}rwAb>I)#7BF`)ibRK5A$c7BhD)_-pmz}t?!?|!@pjP`l(jUAzb
za;jCqlN5P~G=6Yy@sl7-Zp}Cnaddd)5pZzu3J#*gI41LRc;S%R4!-3+fT+i@Qpzq^
zIQfO%dMJo<`&~ZW42%H?VR<^=VIT)r^v~v0@UemP4?J_B0l=WztpIJ?UBH%r_s}!l
z0jqrNiLs5_^A}!T!Wl_J9;xNwNns|)9#VHaAVC9BX0N9@7LuUi;}_EPWu3M&v%`J%
zxG~VXm0xn66$iO5H9~{eR%yBD&K;vdBUmPxMDv$oAlo&g%6NX6c8TXdNZK-lNyRq{
z4Y-{!WJL&2#Vyl#el|R2wl##RoF{eT1tO3ZJ*|;2u|$hkOzAhtGyw6PmaFHzgu%*8
zb^Wf^GOeOIkY{jFALjRmU-_md1d&$>Jx8XNX*1DJYW4Q(gD=OvX+4S{tZF^td&IIz
zJI(#{Qe>_kJoNPZRuIn*KD}~DQzzDFaW+KvO@2N2?P;L?n3)fx|0(;o@ovyU#;$a{
zx}*y=#qDdluX!L|n1#pv?<P(9pMT8LA3AVTHZADbJ#J8HKHM69lL=f33}>cobihmf
z?>nC7T(Br!>O^_W3?)qN8xI)T5O@F2rpX*9%p}DGc753aJM`^JbF{Ugpl2(@@+>FB
z8Dq!4<5=NGbiy}Wp%(08mhnu+a6)yHnERPfHkcVKH<qMo!M$TP?DOLspv4hitFg`w
zX&C;s^b$>Y<g^jyH_8D;-Y$ncBRK)Hy#I7HO%v2Ll+*mVIYIT=7)sON24f#F>dO`l
zShPHrQ0%}7i+{($elGHWi|T95iyj&<v^rI;U(E?xR|Xpcd-wnovVp9Zsc>kvB=Lj`
z7qmV<VZ+la0G$uGYfdIn;i}!l@|YkuC~ut8&D#)!yJwWO_;snEuKMr7he>W|4{!LS
zixY;+ZCQ`Q1}HF)(T>Q|JP^e3)k^oE2pD`WTUEP9fx*70w9cJ;&|H6U#QLQuC>_pA
zy=X>(HVcUu|6}|>s$M@MCWHYU^TLZ=Ocda@%c@ZRA^;wNSy%Mq#9&-B@zzi^8SJn;
zMLXXMg54HD)|@B-$vH=k*~F1yd?KN1@u3j3dgT0k@oSs+HWdDz6J$7Npc`{NQ5fiB
ziruf?NrPJ6c;ayjG91b`8oBaR1g>_!JiGh#E{N@yuUI9MVR83^w$cVsI2?cTZ?wA{
z44Xf<C|4%KiZ|uhCI<#2Oi<*bE7)y*b=;pOkYWFwNWbMHVlW`a9w(5AgDnRYD^?mA
z{^^bxs<w%P!ay5IsaGDlibzU#kCEYB;^CAY7fCRf=8(>mR)o5GmOj!0GQ{9xTo>1*
zprE?7CgHRaOiSBdDIX*QdchpQ`A!DvB$GnTYLvnJ@YPx_It9*Co$fJ5$%4=_`xQ=k
zRWOlvFq_`?qb~2|3c+$Y=+L+Gm%D|BC&TO6_}x_4wV$Xr_8trNyAO1vekFiIcW<NF
z92IWS3W7=y4jy3J3~7oau)UoV;#;Nx+J<NPrCa2I&C|#y@}L?NkAE^U&d`Kor=N?7
z_A5Y3+QXyue(GSATmAV-h88@L5tSPqSA@^mRq=A$b8Ibky%t=i4gZP6e^s4T0tI|7
zmt7PY3}bLllBacmh<zB=G_4Gla;GFr>&cLHL`zRsUl05yngtcUt3c=Fa~ltSY|o{M
z%Y~k#56V=d25hk^2=QYp-ZyT?6*!~0R}G+U!~R3aSv=f&Gr?qimke>oXEmcej36fE
z&P6450<2-qjpc}wA$-<}zkp#38t(+w4*L@zThRH^m02}-b9}U5h#kOuSEQm-DFK9Q
zP+Igs64c%)$KHDkU}wCgey*MX)#aaGW?m*hr-I3!V=8ozCV%XT%pt(fOT&W`cB=4j
zATK*9l@3}oKWhs+0$5Ble{0=Tf~V`!QU~Yh5I0bMowX4U&aL}{6Jr&?JmQkHsHO?z
z#h3StiQu8JI_u$YNgS-`jr`~CY67hI_mQa@s?ZZ4{kYph7J7sC|K>Vw0)th46-??X
zz{`3weW*$j;yc7#23<^mH)rHt53e#D6d-hXT*kmz!y|*2bWA|hw<U3Jw<7q4S3L-i
z5e8HmA>Yhm0%zDCT0V+WfKPKMB1MfK*vFq{%T?0B#OnPXWGD}Ny{`=aA#8IZtwuZ3
zj}D%V;cb{dSTMV7l%gxj0^CWvS4^eoAned|%{pBU_U)aU%PHTW>1Wqodj0|6irn81
zZuz@_hyM2O^?!@BBl^x)I1d5Xw*JturAY&R6MLBN$v@ih7qeWxGc@o`jLMCelmN$A
z)2U^XKQu>=wh|p>8h8e2>IE^xAXt-c%O-4uCV1yqUDgp}&{p7c#=qMM#v5*8t)+uB
z?bK^-77vWz&z&e1qpu?HNAWC5=Ko3KrS6>9`D_UBnbkpV^1^V6lRKEl^*e1akUX!2
zF@yl!dAwz^AcR;N?Ne$0PW#(yHBx-g0E$WqhBUUh#6KdYm&7ta%efZ4KA)`*d6J`B
zZNog^bIwV_yJL{1S60suTF?W<-So!K`CO0@e~(*)I81BmkH_*`=|K{g7Qaaq2TbU<
z^hGU<(s=$x#edJ#1)B@=8XcnSz<GE~=@@2$R$caAlJAxdxGion5wchzgEu>KG;or3
zCc(q~;ZYs1KmWpn?KBI3w4J3^%na?5Y{`a0y*8A5u)JsNvjZ+}+(?GYvovBn{p58G
zZBUH;VKbY^3~pVY-AR|`X%ZgFz3Wf3U~+GnO!yQN9G~>9kqBR;;jEqSeZ*+Ne1Bm1
zy9-RvBwhCX)SG1*HKf+FAVw25I?9L{QcU0(yyI#5)GF<qnUX*~w<g?1juviRTeMgH
z;<Cb)8?@_f0~b~zG{C6-*zwCnTeP4)@2T1HEm{t$>jnW0=+14LSl!N7JXaPMp~4I{
zY3Vu{_qRRrz8J$H!2}1|J1zZg?|>&5u@a2Jws)TCs?;540{do9L;Mm8H1U*jzb&Q!
zPkK9FSQ`_>w#$3@2C)IrAYUuOiUMUpFUp4;nPJh9&r?x>131Vx_T~+dA;m;&rfr!S
z)^FU?3mf5t?~U^}=s{$_<hF&xz1smsoEI9V>bL>%Oq-m+k)bndr2l;q3zUuo6fd^&
zg3#@{$4&9-VBTRAq8!Hx8hPV9zMK3YR`W8eXF?6q)<f%dyk-N_dB=zHxq`5_(xEGD
zuNowrv~e#VV+X^v3%Q5qgdkw)A$wmr3C3Gw8`vy3;cX0;0l$L?+}IPl^QtxpW_ph5
z_11GiES4g4zC#qS?88ivABmtK{H*+h9}gU|8Xv1Yg8|kbq!|}SBGmshmD**_2Xegm
zR~-rBK=s5jd#@89lfKN6ZYr>S&pYJV@=8L1Uw7a2w*=5!AbB~y6NKTwfvP%TX?XMD
z_;^t;0TL%^c1dGG(Beo`N`hT*^c3sF<r4%Dl~?<ZjUob0v$J(6)^ZTmGIu4(lK=#1
z{86!FQJCOub!v{pg3ZUYX3OgY$h+}MNktq35rh=StpOaAMwYzL-sWjQbN!t&@5JDY
zkj-NI9tEf|mKM0VlL%j*^uPTcAOV`Cjr(=$6=C90OI&^$5pdpn`GuUNz~_i`v!k;z
zl!@n-ezGIMTAMwGjFSw6$hd_XE~sqtm34$wUk!BFW;47m$--LrZMl+kJWQTBUpDQg
z4*b2j*?PTlAbNR8mDQREM}5yptsNqR=o@qXP8J-zS@71(S|GuK?3AyV8U-|88*Ogs
z%Y(>zHj`|kIuLsO8)tD;IQ?k6d+|R7z}#<O4~QniK98Hf*o`z`8tW~-&QJtln?`w4
zV+t%wc55~TYQo2Mqj+03W#Aaboow!=z?o-<4>}BLLB3!uQPx}qqDbqPTDE;0f%mvJ
z<E;ZuTK7kyuBbvqtk!IM92F+oZoO^c(F5=2|BkiX$HSY5DxaojRLHRBI#5xg4@?O%
z@4Qk8kbVpme+!|4o7I86*eFA=4;9r44Io0S)&853SSq~O>{KP$8$(^-@8obL67W47
z-@I_00$mvx<HBv<Ei}|k-F-xYmg2fa?Nl;kc!l~HeF3<zaf-;=PXdP5mv2lfYH;T2
zu@gFRbU4mCBXF#T1li5|#>L!-P?<I{bChBN{{sL3|Nj(MXE@c5AGP=9+IwBs=DIfb
z*kxy=h=l4_Nt!Y$l2Jx!kV2Cp8KqL>`y~lcL_=sGg_NWy<nRCXJm>kmI-fK0>P|5B
zAJ;?ti~UvpJ7}=-co@=KZI720+|I2WdgzOvJ$=ki6LQ5ninj?nAp57hX_}=j22#ZN
z=~Oj@2+7&8uXI2U!I~Css)KKFER(O<m9e?HIXr5;0}45AC`+(tqao#>M?AMI9NS+w
zoBBII`~2M@@}d?xd_*ac`y}AR<@HHV-vQNPCI1DgQjxxA_U7D>5YDr-XZ-kP4>8$y
zwBOkpn0(iJEk~RSJa^4A{wuJ@W$Sa_m{V$K*%an|NOF;Bc7kaYXk`!E9wU2xFI8|=
zbEc*oonn?Z-uR@{We44~wrQT*$}qohe5`$2AG2~$y>)Mh9Ue4q++ypbh_2mD&uEVy
z5R+%Wc5WU6q+J;|8=T}|clT-CYQ}rwFvno7?{2_XIoel!hcu1^@?P1U|Ak0i{a)e6
zJQFeCp1syW!G4#^T~Y(z2;GDMIVB1c@%blq?)DN#iDhzHVe}8;w^aRL8{HOsMtkID
z_(U=6u4;2FYnrfh9E%uUV}nNTBhLe;1rf279k_9Jn%KNeaP#mHYg{t@cUaJv4;Htq
z=SSa66WfD#D}TLbh1d&L&T8FUaBd6A^jSSkY-x({`~1TatxjB@GTYg4H2YaYbk+~T
z&gZU5fw3iyZMMwVA<YUr&MptiogxgnD;pYOEl?X)a{b4Di_EI1ok@Fnz7xBycX-aX
zn1f2W*ymvQhxu-;Pv+dyuSD*8)!z#;=J>sTMa+}fU(A*5FEqHb$BAd#{Iz!NGK1Z*
z4{Pepr<qPaLjGp0|3VyJ=wuV_GKD*P^`#e$-<Z+v7uD~%j}q&)s`_Ocn?hb$;CyQ5
z7*p5m>bZg75n|W)Tw8TM11#Gkv;_`*V%ARlGYL35M7;mhT42Y?fV<KpBf04#vxQe!
zN^j`{q4r7sH~(G}6o@Z;jpZL?CaQ53I#J&fOZ7z-BVXt^SllGDBl<P-rq-o38*dB{
z4%w?*FNf0M_?niYl>362*7N3MfBIWuO;PV#l>uW=U;o@y`KW_=GP`E-RQ($wyCb;E
zF31=UX6pRYVjeR`*F{kY``3gMw$}|08sT-Q*6~-C4a^_y-@ekNUJ*6F)^3^zHv-$#
zPvJ79+e}MimgDysFA2|9`hMF<Lxjj?b#A+RnaSgsRgZJM#OuXUT63%+yans6H->Ct
zPM`4a5wz<ij66emH}V={OrLe#PvZi@Akn|)wPr6-oaTFuVs3z@LT=6%s^tVTPUz^n
z6}<#K_+Ajg^}$tO5fPMJL)>2Uk^XzNm$;?5FHhyP9v(}4x$mF)fLMP)rl#29B|)8i
zKtI{83nJy#eI*5wkWNlp;^KNm2<ZA1MRMuFxZ8~!8f+p~6$*O)<b6#PoEX2C>7s+U
zl9&GbPCh2;hvc6Bbb3Ra{W9M2JWCr#;<q$Db#5gTB@$g%*7Xrz3Z-^R^wAKy;#Lw1
z*Ha?+&v?+(wthk)QKin3M#F;P-m=`coy13V>zyTmgT(bW>_X}Xwa{o=nBcd$i!gSO
zpiUioPcY0G_P1YC5n6SvRPc8<QR}j`>;%h4V%9{sx`RQ*%0I^qB8qy5h3)UN=o^Lz
z*&!v5)n_$P$8g!RdgDvt%(o}XTgQiq23lm3*^&lwboAcwc)uoEruPffUid`l)o@)5
z+^PZQp%ts%hW8PAyis!MDW3^W)7H$gK6PyT{5@-bNk6f0G%(-(!Whvq5`C27p^ng$
z&*Y54J7Tu#LV(@R31UfB&>^!~4Ml>*D<l8=KnP4+-uo-{8{xN$8p{SXge{z5R~-IG
zoE$rly0>bIco3_Vu!B&A>e<z%-wqEG-rvb+E5~U<zI{d8GkaBJ{9z52b^k<g?A4e3
z#5O|=uCHxZZdXCBXU`KihtEXmK)^PRAHRq_1**;4{8hksJCs+veT?|-Ue;D6K1VFM
zocL8gq713f+*dta6T}Ep?$GJzzr+mtIE(gvWhe@Jx61AQMvOYv_{|G061f(#mtF`f
zBXe=4{qD^v;-JgC-_Z0DaZ<<P*y8{tJo=?wUAJPIShX1BapV*$nXH=Ts-3Thnj*EY
z141*z1~t!w#I@|?N$dUnks}JI(S0xZoZ~m)+{q=T>di??i;mg&SSr9<A?#6$!5q;d
z6dQFZft#%GHO%cjFAs0Fti~f}{t`LCF<0wGc*$6Sk_LS~c?iD^=m@i3Bu0y_>OII7
zAnS}r*N>;l!DPo?tttu&*&VyDdw-HJsgl7V{6kz036R(>b%&L#FuLw)5++JEZlrNs
zx-AR&&9V2364}XMs}%kx2I6FZ%xQtq|73AFY8~6h1WwZ4`F%#c9)<LHvwc&5nJi3?
zC|-YG!A(BR<dMz~l_LMuS22RrWU+Waq@7Kkj}$-n(NnNfhV*#IVc=~ni-~sG3zT*N
zlHFrf#6XNZdB(YL=;2mb%)6EG+YrL!#zbD5I~$cqhu@5{j9yv%`SpbFXQC*%JInoN
zf`<wju|hD_CRPsVe;u;?+{MYH!HBVYf@<X9S96?<2zgYxnvV)OQOJL7Dg0wI>Lf!d
zIcfT`0*<+Dit~t)A}h34{wZRolJ5PQ^4?BL5IeK$&t$s{IlJNBEprPRS$BCv;8le(
zHVL-G*$2y$xyE;?TTkhbw=zUMV_8)3<;xm6p{Yd1z3#bjMNpr-kaFU;*%dWhxVTHQ
zRa}L%$bWuJ-`kKBmUGo8xuOBV3-{=Jm8zs|Y3gx}i$>(d=J_wpLR#3Ic34~~T%DW>
z=sxn~n=!f7{?0L-AKH+%cyAY_t4aRMxTJi@$b__?pjS5g>*MoRmWz>`S|r<?*R3~!
z4D!xg#tUv$Bm6OE{lFZhk+;VV6lDjRl4-QkFF!-*(Ad={AJeQu=JVeTXIC^M8!Yn7
z<K8iF^YqHi-%sk1ONO=Ct8&c9f#6jec+Z+6V!dVRlAQs`MODw?zhp+rD4v?QoL~hh
zMG=B6)R5#aP`iKG+Khbh^^VS-eYObB+mc6LG$fmo8-p2ZO-bKpWq<G202REiuO#g-
zBDwqPxgBRrNbbetd&RQ$aM8}hp9&*VAo;9mA%#x%)7*0$);XZ7II^|;ju9ERm|Oq+
zxgqIuw?o@!t0ShqjyuIC8j&kvTkQ56&?UR~XoOQNoN&%~#`Ku55h>R5a@$27Dw(lT
zQ*olv386hFz5F*BlGabVVh*LNkm2u=eOWl1v48flT9Kpysj$E*IC4Omw5hBM{m1SM
zr^rl6Pa!>W#l!BaUylfqUtAwIy=r$t%nNtF2T!!gu+j0>%NOPdhyU6Z1tXkraC~iK
zQGgcd`0UX`u{$rAvp0V)&h|SZjAcz;N4EyK{+(-~ZNmcddhS@aovkC@{(IE;+eM9R
zpQJym9pi@UIp4;)(+;Re97_J#s!SdUdNBK(Aq+D<ri=I&d)&QtH0LuZPs*m9+j48A
z7{1hctPZzX?r#pS^Of|aNy+>2md!d6=p4?g>^y6S7tM4_`A_0xBI~3+eJcfAm-Cyi
zECBVJg-x{jgvmngyfqHmlDNF}o)p(sz(3_r-RW!|lGplsj7z2@PCuIYeV~bn2le4x
zZ^l^31h(Fj>uyNGr)cK6T(d2*zE1B6c{)oxw;eFNQ78%OH}{&R*ET3>J)DTqF`{js
zM*O!ulBmokW?2@j(WSl7O}xB~h;S%Mlw?ZcL}S4vPXlYr@GsTaNxotV>crlg;F1JI
z_~JjqXe&e#>r7@U#+hfHUhgjMr9gIzzJk|7OBBWy#Eh+-VLm0p8+TMt@OZX&ES_Qs
z2QJ|gDkXoJ1>zI`y*^8UbeTrh{TK^4-+z>0t<8e`>wIIhJPN99imJ_r&GE*=cY>{f
z4XJB*FE!kt;Ls||4F3RgY)q{iFp=TJ$DXB?^fweNy1yDY)nkSpb-&C3CvJ%F*{7UW
zki=0>x#n{LX0YE~RBz$Ii*)m`>EZ-QoN2OnWH@Y!=|#87W;1^1U3qr0_Ln3cr0B0O
z-)9QegoZr~K|!3bpLoxCR0=8uH#^EjOi`Zm_eWN*5ROSiJw0zK4bHjUCokS&VBfVT
zSHxUJFlXeOu>GGj@;ifmSgvEh`PItDeOjWhf8Cd~=7S8Z42IS22{Mqe?^?V*uNaE&
zvi;Q<kcEBp(b(`OCOEX&V>WnlSvMssc+!8!Vc+Y{7Z;D3fHz7bZ_jISu+RS2FRrYB
z*276ILw+X6=G7QQn*?MP%(j_tR>TjhyS?Q!6Xd=9>FnQ3f%beQuW^eKuBQ4=<now6
z_EC-sPrD@E*K_SyEK~;DPNCZ_({#Kg6SnW_m%=~l1A0NY3f2TYdbam79f#fI;v)Y@
zL+L@6yf|GIu6g?ZeOm6B#cdfM($!@VFE^{f<X6MC#cS9&O9#`ED^D<34z$>|yOrZ=
z(0J2zpk3Sq&9;e#6PM*t$6_0n|6Coz#s7xKZB4LNM{fJAUkbP`W!BqzPXo7<nhegw
zF7t2qg{Au`;ry6EU+zUsq(AO)PHQ%SjYdbGz<Onv%-^~HE|m&p&g*<($_!Bdd~I-+
zR>3Jo)V{e*TCmFytUZ^-fLTLmLVd3aBws8NwbnFr#isn+B4CQPOJ#B6Csk3-X4|-*
zT^sKs;=k4wm?CJrD`MVT4PP4Gj!^GvgSoRTOwiU05r)?pPXyG_5xf1w7B3wPP$WC|
zem8^D<rTdzAF1P7+$smMO$V|2c-O~NF6*{Mz--fQ4Tzjzrne~R;_8E^ax4iJDBVpN
zjg!_yLHo_}J?^?#mmD6y-p3OD3H&?1R%+tq{Jc}Nn=T|*1Q@R{u!3a4tG`L6RD`jg
z+7K$Ei(9dOg9e4HfqBJn;ZiE7Yqw}JYjlvbWEtP_)f!hzX8ZFvw2<DUp>$DB2lGv)
z2lh1EKrrI(>@H_59ORVm|LCoa?Jkwp(mA%^@;INfGg1pb2l?ae188vf_-ZKQ$wa$~
zas1LAEwHOo?7Qh&&?;c@V9YWx(Hq@myMFmj!3PtoNllz;Xj}?)1kCe~$jItw!6Hnt
zU~h&7A|C|td_M#{IaSDT>!ZRha4)N;lsa@g5$AdnsOCshT)mA7t#Z$W@qAVE?^v9j
zeF_*44GqQ&Yr;kVVs7#(aNpth?N2|D8I`^w!%-8Zxk3Sj9!hwZE*9M~2&k-V79Gve
zz~;Emxs^%s*gk!@oACmO*q5-uXjx~w72iz@e3Sw8{hfr!2f)-pQ(HS0b(q&jzSG((
z1?I7~x~4p!!6)(6q?Q`4IqGW^I#R$4pJBPVZJDoRr})EN6(&ioE4_Thq1Su4vcwFq
zJ({_reTNFV`-uH@mqnraOnQgiUnZ_l9|)J8RtBGtl5~Kv2-dVXTa3jqvH21sp)NrQ
zr7o@m^GkyG`o{d_y`Q$2`s{kY_?-gOOv{}bL<Ar=n`8falP$g<{#`5KE028Bnat*F
zKE#=av}(Mvfr?>C0|sT0<>oZ>FPay+#y_pi9c=LT&$GVEhh(5PHfbnQ!Go?RwO7|y
zTI1o7C=V`cY1CZvUQb%{;L{PZtxC=sSMILnEEJc5Gi7ASTY?9hYNu-ij#?q?kbXRc
zTN0yw%9HnWd7xEDv!=~iV$&7<<|;`Fx<zVunh)}zTcblhe~Tr)k8JG?u$RC&&A7dW
z9K0BwmiO%$v;aMw;#GN69Lz_l>&ou&V&7obQ44<y2ywK;(!Pq}q1<3+$7w#KZ?z~;
z=rTu<c%`i57BSeqoxVdk%a2G{S+sbXgEj52LDiBdwk14tdDS2QYw<heu5L3(`HiN~
zDn${g>r<}GErjz~dT}9Z%<ys{-MeO=C_Wxu=T@^r7}PDt9Um?Ge8iWh?~eJ4f|a?s
zeI{N6aozI+{ku)^uz+#-m#ZiSa+@cgd5J=L*=0ZRm?G*|>rJoKq9{15+kBiZ2Kr~Y
zP_-)zym=wr#~ULG-s+h(SyXYnrX;@}uxB8d8C+goE()f%-@Lu91Wq~It_k~Mf?3N8
zCVjs}5wgbZnu|RJX7-N^1W%jbzx_{MukaVcr@#IT$E}h`8QbY?=WGHK_h9pmCt~2e
zXDc*zRSNnwp$$<>bO^++HC*W_jtVX*%J8%_DvE#p6eH=dt?K`H?~6Em9yvrm_mjn&
zttzGu(&;GJAk?dvCjpf+9KCu^<q+%S*Ul11M~-6<U-nuG6ieSsdaqW%{-MWnr%dQb
ze}8d7+E5Y)8gx&(|5ikuZr4L&89KI)jCennmBP3DQ#Ydhl`&-0!dAgUM@UbjagB^L
z3ZpA--m*}^+cPmbU)bq5MbA*H(Un1K@HYW}sw%GksjKbbr(;yYL?z!>79mwPs&^=;
z!7=LHt!NcG66)0W7qjH>-g^4SeOYx}C^?_h>O@D~v)wk9{qmS>80U;r(7*?Yq>j(A
z%lYzwH73wf5u2~ahwV|*1l!-Lxt9%esQJEe;V4tWt9wEG12ihW39cVFN-@FM^`!>-
z@;~}6^#(cVX@T2rW>x<|6KJ)GUO&B71v%o}%);e;zOAz_Zs+_mKjB>Ebv0F36nm_s
z%4%ag<a^W23<lihz0(S&R8boun4a=S8<yu4rA`}|;_xQ%<IDy%(Cr=yb~fsuvbfTz
zdejvCw;aY;j;SNr*;}eCQWrf}98_7W%#av7p!CCA1248$%%AzGi@ra(^{<Ya<M4Q7
zS(~sX67#zWC2u|4z0G&6ZKnm+<vdB6Z_)%}zDYVK=z$HxZ8st;(dIpN^6@4rSc<(~
zz1yXSs(9ZG86j4XrFpsd&QkF?L;WF#p&m?wto)h-tx@(W?a)xP7GjUdh9_0);^=dX
ztNPg>sf)4t`}1Xdi}jG^tPYZ|8L&$`*}{d${T?PtgYd<xS_14kVAOKQE>M~HbC*`$
zXiNi-b5_*FJ{p)O_LPMz=Ysy~qQid6_>Flsuk0i(q?DIN(gJ`c!8JB3g=uKGIU~NE
zoeJBP{k<VqfeUwyXCAj{VLoGG#A%BLvf^$Ew0;Ca8nyi<!?dtMQPcX*Lp2P9X8znK
zWQXm$|9yWkKt*_4LgyI)Rj4bC=_qL1;j{b3l2A)3o=nMi-d^qnzXx06IT?1iVeqNT
z;E*QnjwQc+nxp{ZwQ23FhIX*8ol_31)WDBZZ~o;+%R=snZ=<)o9f;KaE6&S#QFC8i
zv+S%Cw3x~-4$d$8f5>X@m|->8_vu+$uv6e>S+K+TInYC1dmp&0hpwoAXRLR{AYLL_
zu`3_=C^B+e<F5*SczxtNep>_$kxM6Af&kaD;jOnhRB)Q_$I!M}LA**VT`?}Tyt6dB
zN_L7X!#4SRj-xa`u2}?))fX`lJ#WAMnvWuGCfA(kXym~v7v`pME+!%a|Mi{Ek;l6|
z7cJPwxp414O8SMZwy4^dQdRj`7N>H3Y%5bZvC5Api+E~-ePU_Np8{mCd#00J^(Y7W
z)wkBa)Ug5Eh2K}Uj7WjUgNN4jg&oE>5>u5jtzrM3J?DD1B=`>)l{e<I<E^jthrCHE
z+=>5E5E(#$d|cD%cRB0`9^|NITV;jm#AvBGTL}a;d{<L!Wk-{CY4+@0OQ?^>@hLlr
zBX2aJrpSZ?lOvY`CX_7Ub*A=1#In!FuIXSc@8UqLe`>sWrUjhV9lFVLLllJSijLY`
zPSjNoPiicfBejrtuF5Nl7ys`6@H)%|x5dl-Uw4?Jq0M}->aYmBsPc4{6Wn;vp6dGW
zvl)K-(LP_56hZK=4r!-{JRtoqbTx*XVT}ZT@=%&E-gG~{AH~B5mi(z4)e%#06qj(T
ziwmQoMX%s!G(V!fyehf3m?AWPkd4+U1hr!#yIp<>pipd^`}t`GO3!;tS=0zYG^Imz
zELRA!+n65wNeq1QZwh<aA_SUcsuV>>1p7|!`gBZ!0eUuj{vCE<RB|shNXm*LXw!Qk
zzndl~{wUGhvqc!P0b9>9WW*q?|8(}cn+a+T{&3$iw~YH}<$2M>5!ENM_vLpw<P#p0
z#RM$hRaX5T<R*cJ+L}bebIX3HyVEnfMFiy>TWrD-DX0^?-lpJ2hcox;Z_z77!Dc<H
zva?MRHaqJ5g_r%gR%PDP_=70?pND)pMU}?o($mIiO~!!fti{4HF?8ztJ!m;EgNk!o
z^kj}1V`RzCg5Omf^23HIW14apeiD=%8EA|FQGVZ21qoc){e0qPn>-@7h3v60F~;NG
zoB}Er<^Q{9UHTD4#HeWIhe#Xar|g@(uh=EwA~QePuA>a+vsqpDxsBmHl}BHYl){)>
z{kWZq3huP{9P?&3MwQgzg*K)%q*=9ZnyacJCU#KGO28OQ*VqEjgEDydKFfSmPYqA)
zR?L;C8N*&>t<>fhvN&!0wTR-N4(gO<)eBc+RNHOrEw_?KW`y8dkx&houiL+pC)pUA
zVmQ`pxUT>a&WikFhc%HYr;gK|#!w6#tq5>cLT<N(UivjEqBm?dzpq0_-fHUH_I=7Y
zFlyuI@l*?wGR<c$6wxu_<lN!zrGolCqbavB8l+=SWq@h|1AC1>&{qZDmuJHA3)-+L
zTZ(gUF~Q@&JG4MiHAHdJmJTfHz|8Z^XMqF;Mgv!@VEk4C^X>fS$WdL4pSdw>zrqx5
zqtSl9`_%C$>XNEcr5>aWMAvd?o54poCeP)*1{j?q32ff_a8Hto&Q~%A`BFhH^n@lx
z%P3`MNqyuIo1cejS|Fmt$WT0pieD_BA~ycf$2t$O;d)C;R8%iSj!S4k_}8h?dq4HD
z(*J_4=o%|*GdlO!^}ZGowH};}DAPw#;aAb#{nn5<-Osq{KtqLMJx_qFKD=)QKCR8Q
z!KYuPe@ZK9ICXB$Uc^BU-i59{(`Cy&)?x3R<9}#a``cRUpQbMM<?l?)tY9Ko>%>84
zMQvQUUTJXdsWz-PM3`>%06fFDJi0BXjkTtH0}d86WT$6T4b=ek9FD*Gr)XHo#T(Td
zN5%N9>PM#hc8J<|?9O~44O~p=O)~`=Xt6(8U*u_r%GJ9SGSz9=Z#DSP>82WZHypE&
zKWK;C1SvD4G%Z9O^%+RGuYyl*o-YsO+aam<)$Y@6R5&zNHt-ZG;bZdA)ODBa5Ls;Q
zX)vXUq?iAR9sMo`7saN$iCjCdB$bTtvuHx@-Dgqe0cpHcE0r9Lw}Y{B=AWd0>KGaw
zruz9&5Sft?v)0EB{@#pDzo*pTZ@(?Y`k)x@>>L<QSk9f0oRH6#22{}z%qg+BB#c|6
zcxuJ~KndM_GOR@fBRj83Cf(sj`=y<kC8vQX3eU;>Tgq_g+%B>t&4Y!;;lG44@bc7&
zZ0%*;p5x!)d|ibTn(?0E@?%UmvdH8J+ADzVc%oR?BQ^kOK$gFpKQrFU&txK`uXTpi
zM-DqCOyXsxSaA5-l6LL#9*pOp`}{i~gH>J^8taXgm>UM-1jUAJa89y-b*NPetE(nE
z4+k$Y6VG(UUNEsi!rX_Cr%WVaIprw-&3S>De(T=xj5KRB`WTj}H%Z{Cdss<U&pb0U
zb#>m|0V^;&c=V=silb!w@b;pKc_!PtNu|doRw&lfzTD;@27QLjd#|_!rig7+wB89z
z+%JtN<u(&VqM1?q%k7KI)z#1c+JCpe+Nv)WcU(olt1$O)^}T;g=?nCyOdktyaK!7|
z&kNzZfnnSR4Hoz&MoPQiH%DT0WavbJAUeJ%p7RuD1+6WVenj0IzH>ROc`*Xm#T^s;
zj=~1Prz3KUr_7+xQ5_zg&W|U;$pxvV?4S&Kv$k@ZAv5w@#+?p6Fr7ka*LQG$Omg`?
zbI24oba?{W?f9@s*>>wrk`p&=E8d-6V8BIiP~PPeFZky|A|GjSgHWhkTX%qgTJ6O|
z_B*_ozGG1%Q_6!&QN3>tu``f&mK0H}<b~u&ea9YqKD3%-&;H9YL1zzP!}@|35xUBo
zU4HXJ;o;Z3AO#Z`AG&L>NuCdzO<HO<wg|%7NRo%FrsH_i=N|toJ_yg+mj130Mp;X@
z+4|*N*uZ!Zr=`vhvlcN;`j7~A`daet8#l&fdL#452Y%G0_@|Z6iz4tQ%VYQB##pzl
zIyA6J0Oy+y?eo$ShwDe5T60Tdl+VoP4Yvs*#v)?&<Q56oY8tT=O&EdMExYIZtPsRa
z6_5TRDTpWyN&a!g2()Y3t_qqWu-fdgcE&&o-VQy|b>T)Rd$PYXU_=Dn1~%m^wbBUB
z*6+>JF+$QQa~J-5qEPbc{;(@h79y)EwplM2!tBO1jn_qDu(XQW6eleYDj&<0m{*1v
z3E2H)V}Uqsw@H2F{iy(%Vz=`qb%x+IC`yT_lED7}009606qk2A)&CdA?Jaw6uI+L!
z7nz^qB4i}8CCL^csf;wJWTdhsWfsbpBoz0Z5-rM1WJPva83{kXf6wFnc$~-MJl^L#
zU(d*<PI}6$1WX3Fe~YOg0EO@8!udfyu#d4PkMBwX@wrm_`G*7$`CZ$oBQ5}M^|yTc
z1*PF|`SXKko)Tbp!ty!)c|j=jBlkSSWI%d|nr+|{0TTVE!foe;V8iD}k=bb+w4OZH
ztGr2o)I0NLBWFb*|G$NB&Kg<xQ*hdxO`8a5CNo)XB4QAG$ByywrW~+QcZnz@65;mK
z#)+|Bap=TRMXnxD0P@DMpQ=klcu3xQzG){3G#&9xA2JldTGcU%5~>dEuPV68O{73s
zY5fE9m=aL66DMt$HK41_;p%BaY1sCg;Xfg*0=1LfAxtkd;9%M~GBuQetgF3vFFQP3
zd&d}4nn(hZ9P`Z!MmX5M%lhfGzbdpbsfn0|YeGtdtlp@JEVv4h^Vr?g;73Y~IpK^J
zNWTqWyKW)}ezU#%w>SvE{8%@yI!zn&-CJ$e^yH!Ueq@=eBLQj#tY*ev?FV2@G7*(i
zfY{E*8tKslXmn;LrqJm^(VB&B^tJ+UNuAr2*sCjbkxWJH^<eexww?V;MOZKMboD<>
z0F49O6;-ABaN<Lz@wmGZWU2D>25hK-cdoACp>+fBlTg1{HJ}91M3a-;YpNhCMv^<A
zk3oPEQ_Cn`86rEfqB`&4!H}-p(N+t<n{DIhO$TL&Qr~CUyQvI12V;!JC;+4*tp<EH
z%J5j@N`@`B66p3<lWDY#fTOyE-ke_<1RTu|zh0AvDDU{f!fYeRhzNGgeWC>Rq?j$*
zdRegE;OnRuH-b3)0W)zSB@lYH9J1>t1A|&+jS{?Mup*zE@N-dw@1*Wze?ciIjz3o{
zj3)y{)1=uxLIJRQZdvqC#o$!RkDvxsGW-+tldeA{4@Uo5Nv`2S(0&bPIV((tqs+NA
zEOv6RV8O<CJ)RGC>fXi@R*hhM;wm?tv@Db?zuSJb!3E1JyZgPHj6f@C(C6S!8DP1^
zOZU8r9ek_4<IkQq0=r{Bcoj>eA-(OE|EL8MoEQ1)WvpxjzWucsF5XfQO0^x*_>vY_
zn8%#_dI1`kQ(cD@B;nQ$>(O&tyI8GBd52mQz`Y=z-tP-yAoyU>v*7P0*0@2bOA!I+
zrwfRiED`}S_j|bqhyP$jZX?#pkr)iA-_GVZF9gx;A0tnGUBbe6jx(~=8iLfxiWccG
z0qF3aYKi^y3)2(OG%Z{<fN!G?!`Z2PP)}R$$5J_mO<2T4*l8HRvZRXSr!F3-;_=JU
zqMyZtHbhv2&g#R&S8{{0AvaJ@76@|X%wUNcDxwdX^?=3Zj*{nRPLQf8yzoSA7V|y-
zLCKj#4+3+pmr-$Xz;O9@In$guERhdia=}#>7?#6{zVF$<*P}^g^6>&T_~^8%W|a;E
z<`Wc)-?0F@@Avw1a*J5PV$A$iCLP!bNxH<w$_#HgS|@a$EMapa5!PY8`(dBwe^)3s
z7$NqmhlRHH3Z{3}_Qg!QHh5RRiR?0AfXG1HFr(2QOwc2vYD`TVg2qG+hG^2m??P9?
z4Qw5Aon}a}$kT$iKCdjNoasQy1B_GMH?czwP3hdMS|G52`_oZD3tM5kJ1Lo4ST^+=
zJwlu&@aEloPo+!?xYWXy;Dv3>+Vhw|&N>PF#Qu>gx@lnS6(f@jkqVe?tP{;5NDy?c
z9p_L)15~y@7jvVj!RznpLES$Z(DH<yIF>~N1M-D2_xfp|y65z-h$szEQ_T68T15kM
zmbXjynbARd%>`d7It|E7ndAIBO#@Q;`A4Ka(nHR0_k+1x>R>I;dR5q%7IfYRw>Skb
zf|>!&#0sYlRPNHcMoqLJ$Xmp4R*D&9zGTE>FNomWIqbvlL<dC?y!gxOEO0l3NoUTH
z2w7Jiwr6tE!-1pn?$3U)!85sj-nexFyq;L?<(#F5N*$5YmsmJp)8(0zRz3kT+ofJg
zO)$U(7x!1jWt<??ZFb(-oB-#}ChOPiGQ!B~ug@(;xWN4jO>)$-8t_L2>8%(rgSlN)
z)Il{KP*JIt&h=D-vuZ_yF85iWP(Ov;GKUuin@Zc6hE!p;s`O{B0vik(&oMel@PoWg
za@2y4DpXc9E0%m^2U8W&jkB)>peOA2)1qBGM6U5W=hkq*gqr$J=`|s!YNst|DaS)c
zQTmeC5GQQ5a@C_?5xC&pfN%kL;KS!8x36&lx%qN%&{;7!szo#XTOSWLKA#2}6nVhU
zeEaZri3IF(B-7+8;GtznX6{rZFPIvfHBs4?gibeOlU-Fjgv2Z<^A7WY?af}ZW4h9i
z8XeqiVULI4M^QBY9TxzT-veb<H)LRR`^9VS96T_lKGGGW5rUQ@N<O0VIGBF#)^(Up
z6<$TLUFoI>!v$5(5VD6HR0^Mc<D8=kG$-mDwsJ+mU?=y};bD3B@MrOLi@O>W4lecZ
z-w}t0^zN!3{1rj@=gR8}MFQMM%#^eCk}#8YadUb@3Bnn@kNidixW)E`j}RyY8kuPJ
z<aHHT{~Pz@R3s5vd-TRRlBMDIxkD0XI8>oER-p)Ir4G)q2ZdYfWI(gTm-l$Q8k91*
z$y_$pfCG5ks^%09W@3ulr-KO)D8;&}ag+oPMu%4dh2)^y=z*R;9T9A!Ca!g6YXV|%
za=2tJ50%kVG+7sjkk~-BzO<?ZmfU(z%R?04>^IGu9KA$%)N|OQ`Q(16<V{z@5)>gh
z?wQmrDs^b`7c*h}rvp5pqkn$JE5T>y4%<6_iExRd$@@dD9<+b9a2obehAWeK-xizp
z`Zk9hjl~S0aBThU5lI!un_f%IG9!X}{QIcMVMACb3$7opQ~~#yGIyCQ0+fV|jJxge
z3z3Jt+3E4%V4QzB)k6(j@{})Y`~pZ8_v?8tgNNuO?B!?Wy?<bqF~o7p2)a#Q-~99c
z_w#q0>dKTL>@(lX2_Z7r#GbG(C|7~6cXGKCrsbjPrLX)-JQ?~!zh-OlsDPZ$%`@hV
zvJjm(;m7xx3=t+wzG247;K_ZZv{FnO#y>q;`}UU%fyTDNyhcjk!tOEBa!nlW#=MUW
zV=xB8@oOVdJc>Y_44D;TLSSVaBJK5u44k9+Y=W=l0bD1pFpBenqyny&_<;;FHjZ=?
z&T=qJoI8|=allgB*{roBG87k(hI+r_U>{9yN&7KIFnZs4WLb|4C2dv)p{_E}ur-2b
zE}?>1u4hNF5hF<MQtu7ulLFIwnB+gMHOye%uP%L$cSiZ+g{Pe*!8|)BNP2b#`}oan
zS9+fjT;no&rS(w^iiLIW4zcuO>|^>vR|^0dqbi(|7)2nosV9$;nTGvs!9Dw+29PH+
zRTL2*2yZtOSFQCrC|4$9LzXXM5ZZG_AZm>dex0e#qdxMDq7-kSW?f<k{?xvLZq+={
z^P!3>rg4;V?@!8Ui4Ft!^kDUhLmn3d7W&5(7mZV>w_=I*|MX#u$6)rWKL^BJvd^S8
z_(4(g2<`GG=z|OCl#Sy$D|CHUBM*KVr#QK!BxD5Yf#}Oeqb<WsKrV14WIY(8AP=n*
zgXOxwe?UpPT9^S=z3kd0UX4)9FquA)B^?;kTG`w!p#|B|bPKoeLCR;6mY}SG4#Zlu
zJjU(a{q>{)5mIg+MWQ$K$&1we5Wf5J=SPKI%<?TMeEQ@U%3tpN?e{0Op=NT<N%-p)
z=E(dV*DKRb$-RBmGSf&KMrs~Yvuti)Wgm(e$FdqJBfQ5oj~8k|knMk}OBdI$;)@Qo
zQJr@vrG5)t?-{iqHN|D=t<Ng9f9R4|QP_W2e)>D@2Vt7v$Xsu(e{UJ{Z;Cye-`s-T
zdgrD0e1rs*FWU(3rIxVUZnSsy@qEIP)gp-#he;4j7_L3_<u{gQ-#?yuw;KzIFu6qA
zt^q5%PsTOBE?|{xLVsKDe#KHEOVwA6G+<Cel&#Ei9@E$2w(Us!j-|6Y#${8~p*!SC
zAG6dPc0X<<JpslrCaZ$bUQh>)NhTGcL$la4-Oh)C7eBDi+Jz~%TZwR@PXF2OPcxY4
z)In7l>?h{x^d_&tng~r)NnXpDGgwlAJNo^38tc`%5T-S-x5u+N`(6~!U>(0TdCbqw
zVSZfyzODHYKrb|hhHhmBbBZkf(!T!}wiaD3(YvAs%{AIf=@(`(nbHf+8mWsI%k9{3
z25~iDa_a9Qn$BU0wi!e9yvx}0#97V&8&x=rx13KhoyRg<?5=b?UBSMbQhG5Rj|Tx4
zJ2lO?1*~toP9fpcA57iRZTHM874RBh<IG(Cg&j!cvsbZN$Kq(IIvMCx;Em?<g>c(N
zOe%GF-qmIk>+T~NW?3nNU*p|2?gL9$P#CMyX4DpT`_8R!r936jugcFzbz8>V=Kcg*
z_HSbhp|S5i{8oghM})e^xA$_7g%4dEi3%zsUSnwo72#gX<U-!UDrWMx<+ETOHK;Ae
z%Vk$6z;@#O8*?FR*g5@Swl~tWFwuRG#Kofkvb92K*+LuG;!)mS!A?53{d1jG=aM{x
z<39DWEp1|bn<k6@iWuNSbSuB-njGv?Tv)?xZedG2mbB$1OnbSL9KH}P2hk(mvzl5v
zSZMRK?9;C-&{}zB-D_PIY<VRT5*?}F?pTp8GnpNF#p}|&;$`7}K%@ALYHFx>IB<XG
zCkLD;R618HEDKpV?-tnAXd&pD{B)r&7c|mupR{>_0|r5^Ve2kB5EJAYKfBEhzcE6Z
zyB`j&8VI|5yvG1<jkjEgFL>cPcmEAbNgNz~=h5Jh%>;5EJw0WM_<^h3A*N?a28bIm
zZ96S2;K@1fkLm@X=gG=579;}&FSL$H%CG~yuBlP@t}w*4mpcSi$iVyE9Nt4sd%42g
z;r#6=F_0;ET=A<?208<}AIn*C!J(7=U+(ft!b!m-F_Cr|xc$vvE_#3)a1CZM3@K6&
zkXtb(NR5NCCok<el6hfjwQAzLlnhkpn+3MI<6!<zLMF+FAC|-W?|Sy^`J%*&oHwI5
z=zMQ?n%++kkTm|2Yl$2@z3<kOd`A{0{db-l+!2O-k*f25ZYzL_Jolr37&#bEx|_x@
zCkpnfX)Ct5N|2-Yo&QvkJUq#czF8Y00l3FK=)XD@2v6&ba^O;g6b=pU7yG0jWNAv3
zaZDAO?e{5=I+fttRyy<fC~4@&5$GGQ5kNH3nu+753K&}zKM&fFf#pG~TfVtOzzNpq
zDDQF7qh@f7m>>%t;jzc1?yG}A%8E0m1QDJePdKnDA`kWR|I!LlHNd{@X?oWib&yxU
zT~Mo20D2noX15Coq_o_QvE3(uFe10!v{ZtGZ%@Y@S4ogKwn%sGu@>BT#uh&RMHx8u
zvokB$YQh6;*NcKb_rtQzcwo2z9?Z|yUhg@k3Hp6nlaCDb;DpG*G}cS1@PO!kV@*I4
z)bj5A7g=TiA5XkdW4);cJ~wVAPlu8~{Q_@>7X!fiqk)F|@B|S2+t}ypuK{&Bs+GHY
zzE<2;=}ZXP^XK)z?G_q!h;)7W`Q3gp@E$$PXB|s`@$A4yR+a?NIv!PBDP;^+o0FTl
zo&=~a$vbkQOa;EBZpS2kH-;5E{QXP31RyGL+m(7NK-Gnf%cj02P$2j&;<Tn31S+`I
zJ=&E4(eDkbfej`w<NBq?{udr3A4^v!9+rS|TUBP=uO^T;W@*oUOa-Dyvzep30uZFW
zy@_u#fm2n9cT+Qz;1Es54{8ApusYIGE|OvbCGG9TTn`jL8ZTBn(n1X>toqb4>Lws!
z`!{(uO%6^5$yM+8?A=kOtgMP=V>o)VPbB5^ULFn5$ywj{O5wWq;8ljMF$`HQ+kSSC
zhG#k!&)&uSp|txI4AxYV!GuVfx<r<QrhqRxxm8r?)z%Hp_&twS%@zoch!+Ksm9`l*
zMS3KNcc53lZUh$>{cgRh6NHfK^Y0sdm=NoOkgoC#0Q@1(!vi=za3vJ0P2OWcnQ2QG
zdx8PFj1|1My1Ae;JY7hgg$+4X{<KN{f<be9$+S)iJCxgdOX&8qp%lH?oqyei@a*B^
z*N-+C!6umA>Ypk*l9u|rDf`0!+|@m1zRl3UI3e5erv^JpGW;c8v7--tj}APJtonz=
zd-KsAq+v%o2UNAkW%VKD_S$($<SKUJiX|UwH5+mik$Al2qzBZ7d2&xwXEDCK;}xEE
zY>3}Mon1U#7x1_n*PpHpVCZ}4y^K{>q#!98c6LAq6iT^xCu<8ap47_|jfJe}%>2P@
zGkG1jr4}{7+}%Zyb+Ji4;KPdA=){*MV)g@Vaae=u>^SAcX!@OeGAk0|X|Zb_&<3SA
zDi`UPIZFRxBX1(cif;QT*0>sIL-T=I6!>6?BJ8npF8dfOO8vm_(y2@f*tV1V->Che
zT>CNK5njTIj&)Tp`w3`)BfqIz-nk9Rua^8+As#lg<t6{zHboO=eb?m7ZfsHb<4jJ9
zm$M<N$;_B(CQaaeGB?B&zC#Had2*>Uh#lP|6&~cfK?1k@Ay)Q#ROpRju&9g6K2#ca
z{r(3|65J5G<2ANPjo9Y%e~g~yKo+YOh&^8eMuyuW>krc+m4J0dYY$HJ_V-b*IaLjK
zc<O13e>ok>H?3d{6y`#luEw30-l{|H@pqXKObn>;)gT|uZ!T0A*zNl7ggPYG#P0Bg
zGNN!ANxR7*ZY1dbTR($Q9eBSKzq6QRLP?)C>o+HOkjf3s*O}Esh#WlNI}pTz%4=oZ
zb(r{&);*VgcP}D142kKVU}QsmeL@aT%=l5bDrc{wFcD@j58dN0*wJnMwf!fH1(11Z
z+e7AW1jzC>B;%7fkj#U|x~mdGXxv^E&s|6Wlc|cU)J>d-+xX@zU86AakiqKZPw&-}
zBW}jEav_yHT78ZXMV06Bkhl#2cx%GMQbxJa9lv&sLR)dPn0D{noCX1GF58_*<KRWP
z8sP%Va*{~r83VppmH?7JQmVS_`B2JtW`~1XQt0D_NXaWW0!Uo_JRkXlABlRq`R#L*
zM$%4om#2sXP;arGJt--O;_1GurzOZBn}dop4u=SkOnd*IXSop4{!~sbdyPX=1}_hV
zT_Aw*y|J`1D-l#OXxyB*PYz|DJNbHN&l6RWZu{UE#Za?hY;5%jd2}Q}Tee$}2p_nj
z58(&IQH{W2;!}zO8e#hp_3j!GgkPn5)p|;z;1?nuqT)(OJ!I_BV-9t2a%?-(;~|B(
zsW$s<&MPC6B|?W}jXJEEub6xJNTbB8DZiliDrlw9CG1S71{m4P>Fp1fL4j$ZZKlks
z=ubmHz!ggp)EU3UrC!FNoXZMRp(<+V`!o<Dj5UGoPz=}nZCT_H>iwyfmw*h>JH{JM
zT2N&EOcGZhhxAphN=HNyP(koZou3KXkjL?D%CS%$B|NGcta?R2^^Hrk4j=Zz**|Qp
z^jQjMvN<}wcY=V9RC>+G%jg12@((_(vx;buRC8^4n1Ft93nwdF(}N@ych)j}C8RN}
z?2WG^ptJcFB2RwngPC7ytI(Jdy4k=ng&iaylNPJpA$vn;(__ee=%I{eYqD)$hp8d9
zzm~2%<rwf|siyM(DWh1q7758!JbHd)w%ITO;5_6kT>herj0AI*O>rtHXyL=DaT+7w
zW@x7sK+5Q+RYJl64kd)YR1D)WM)0D3h<QFr8NIUV;%IG^M?NkeKk)AP+UYsa>8DXf
zyne*uCRbVH^QA;3LY@p6gX_CzT$NBs8I8fdacOkX$@sI50~xl6Do5$BDxxsi#>Z<R
zl8Dov5cSoc44Ju#2ZfUqkOpUY<aJq5G#eXutp5ZV+C{B=OhV<+iT6hei=GRh*o$;F
zndW40Q0mYs)t5ufBAJ1ck9g4hzw{dVJuWzMMEj<$<IsyTDwf+UoJh!5_3F_<Bj`9_
z;V1G?2C=iew-|fHjOIflNJBS`U~w)%dGUxex~j^h6zEQes5RLv@8}vqq?D=3Hmww5
z$<}z@)woO1wzy<vG7O*vTAD8-Bv6ZFFi-o*4a)DpFQV4508Wv;|D|t;qKJlwM$d=K
zl$tra^anx!m02Ix6?28rIpdvNulRXNVBJBKAAo^o|1Fs?4?$FEeM-k#_$S5Dgp|N?
z-w>Qe8=88}`O)-)XTz$EW0XKw!H|Pr4Z!|DL1Ca9FEYHxRIemGOkurQ?3~AA0Q$Gx
ze~M>uBYAq9i+R}~MKmNazS~Y8uCxx+EpKt6g;oxga~B3F6ZxeYQJH!$7qK~I$IXF$
zYSSF5BYmd?lV2qb4eLUO|760iC^oe5c4;AuwCB0sY_5r`=t8xLt*@Ob3(8J^$a>6Y
zoT42cN;JQq12kQA2X87cp>EgP9d&Gzl!r~$#fN(LLy;z4+}DQz4Sc(!vdlS6nbccw
zk|geji|5`iMvl^<@RAD}*&cHgzUuTt_it&#YtvJqz8SQLVOsoR$kZ<iKD@Z}>6#W;
z6veS_#nB*{_d(c@?GnZKW8bWyrxu`q3rp&EsnMcP+1MN76$<XSMZQAEo^KjQ2_N}M
zg`Rw2uHv`+L$Q(bmUIP8NbS+}Uw5TK4B%k!#dn=D7dvK#>PQgt{PKSizji6K#|2;W
zXKzxJUHoe-i6qD?TrvE9YL^ncBx$%ax<yGcwP9YW(txSYM|%>rb}6j3+%_R5I}}f`
z8Qn+f8gNAN*$XqnT?+d}-l<(LDwLq`yD6+e9fp*|C~H@CDf?LEa#m`ok@J}Sw3UfE
z^yOJFXVXw2=gAj+VZyZNvUK=yayJpy+A9ksJ*iM~@yAS|Ogbd`s_WS?Um{#wWA)(q
zMupC&wM(=rF(AASfxBUw08wz3**KIMZG;ieUmIjZ1^r~@z#IbnR&25Fk)}bWqkPll
z70l@Fkfw8%4gsWQFm1i%y?IJ8?Nr@kMZFBMAHTm;gJ`j!)cqs0=vu}=gH=5{QVe5v
zao|(~)^xvj{j+q)m&;B$=pP5F<thCv6QT;dZ}T6Y<Yz$sF|^Tlw7F2_r$^mueR!DK
znA%J`!H6y~(w_Ie!Ht4f6G-<h@!(u5+aT4$get{<QjKo#pv<kJw<4cZAlj>bQ!kJO
zRTY|2TPE-!RThKo40jcHrID1lUx5v&o(XLJO%y=lly%S3Tgp%o{71Kxb07NH(5=l)
zErbkj`F(Y+P=>Z;epV?SPShS3DKfe$jD}~Go{&P6;iZ#_>zXDPN^(r)bK?+0HP!1l
z^8?D@lf^Y>9nOvF2bu)*?IaML6~UOOr3^`8=GTkf@t_ptJSx8tNp$U2lldwr!{pZ&
z5`G4J2!*7q4J%0_mbxozw1LX7Mi<XF-@%U}9N$!*N|Hf7(!qgd&y-=IETq>yP7rAY
z_5_4c$s$cFQkRIl3WSWCHH04$Mvt^&^DkVNL++-F*@xb!0Jm(9=Mzj6Y4%BmfRq9{
z*O&T_=QbV;ew8=(91=&O1=kOe+7yx3WnJyD3{~KNAKiEclSGPh1hwEZ%E<MRzzg$U
zHE5?29gg;qLSHjZ$R3f!qr=&EtiF~LfZ~p4@XVG*_A?>Qr#e(oMr&8qW(pCCaU(*l
zy)x+66|Hbl4FXbqSroIFp$<1oIShh@Wf4_^MLhE&0h#K?EqA`wfbY#!{$gHo=)2kT
z#oA0F3g2G6cz(}&q9RQP63gTfrm(KVBB73?M{1sH-_(Mc4M)4f6AFk)S2pwVMRj!S
zvdMpL^7|pu?CKOdmlApxSYQ9BMjiRmM8wVS<yfg7EKe`VDkHks?#xe*)lqUSYkbT-
zJ*bW46q*oJL7xVm3U&mkqs%W=e{=#3;9K>v4BK%P<b6!ad~KSDE}L1lSrITGeTXcw
zJC8@sFW%EO<A|ssFhSfj48WG2@6(k&Jc^yYpI|LbK<BKLo%M8#V8(;HQE88h+~#jZ
z48P#f_nkC%gBc^BTTKyr+kr<j6-RCyrrYD{zoDU<(PVhI=4Tb+gGWz1Ts<W=<k32L
z;}XX_84Q{Xcm6e~px;4BlH2casJ8t;X5xNhC^QnwT=}ewgeE%G9%M<O_{Ub!eV)cp
za(@t$sa8Tl&}|^IDT*?qA9OwSH3kNgbtl{jMWlG@k`qo+01e$YycJ+=3_C{k$Ez3R
z(UZhR%hEP3WHOVGY$Ie0Yo}(%w@%2R(!*8^pV?W^uks-UlTI@DOJ>q=wBb-6|Jho`
zZfevfb@;nM1R0+4yi~H0kwNP$%+Z^#|4>H$qxT$VBLhj~u&}@-DO4EH6czY<f>Pi%
zU}u$Y1fgqDY+RiZ$kx1oUZLwLWg;>oW=6pX#uaOQyX!@f_w^gbZyfuvbip=_(=`Au
z{dEIe+Jz9;D%m}m{1Y42E`Pb92k@hodWVrt0Huw(jp6$iuqz!;`=(PcFfZ*ZXA0#-
znqGWRer5?X6kV15@X!!4hnb9W_i-aX`zKC<JImPr00030{|uLRIMr<!$L(=!4ziDR
zY>s2k->tIJ(6E|BTFNLwGRv!y6lqwIl#Gm&eQs?dBc!rbRwXM5@%s1v<GHTqey->H
z`F`edZ;f;{Sip1n2g!{nfNwqgjz6iIC6r4tM#`tn!7lJyR%!zea$kl&S3b`Y`uQ=5
z#T0Yc#+x@Erq6{RRt-;HxG+n6yFID<%GnHtpB=f=wakVVE+JvHy)#5Y`>%_ylT0CY
z-Qr0B85Z2mBQZuSO%sJ2d5I^wO<?kDgv^A@DubFTW?MNwMa0N3=X=YWKqp(@mZh7E
zjJ{3Nzx?nQvAZKMa<{)R1eP{#7D}CGs8lJfYrgoCc+50%Y4)`dysNxbE+#q4_+dQ%
z-EH4@Vz;)r!;riY2$;P!Im9)^P*J{iHQRoi=o%jH`xIpe>8*tuC(0%m4AN`SG1pOI
z^Pzj^?u;0~O<|TTe>p}NN@E|4xUYXBo|@s_(QO9cX8pK;?e`F4Aj~wv>hBj~ebcz?
z<yw8{H0-`{qpO#p{YpowF>#oP(`Qk3*3pNDJ>>S_!Vipzn^Tkf-G+#!`_WA@_w``m
zS<!~C+uIqJ^G_bn-!Vw63Jw)j%j&`A3)lR;H#ab9$WOrfPd`DQc*(?<Mu+ZQFBVS8
z*E24qu()5o-$zupFU?F#(}DXkS=ex*jG=8DNqSb$OB5EIFxir&3$$_f_5O2d46eBS
zPmH;HiK|ue*{o{1u<^?Nk9YJEiKJRudhW9xVu%~+m&#}mBeHbi;E@7i*O@GqsV6-|
z)xXFhne{Z_nX5fG>HmzNIpvhbtn?60+k3O`=js5d|8Vuv0)wc$Z_@2^y_e`;=0DBT
zstr$$Mud1Qy&!(%@p>Kc?IX&r9^l;gPYd1!{itGTd_&BTEY*J}_Y>h+5T&ZC1z*3P
zmwXr6L_EyrqZBg_63W}yKP4U01b*)y4GFTX#K!JTiKBgk#K8E@#)Ekp@bte8yoV09
z69t+qyOaiph|`|}+E4vdhsA_5o=lb<1jCbKs-OD{vEg}+?gK-0NIdX<c3HKHaLtl0
z;okR^ICb2Gec-$r<fQsXFspYHM^Y~@iS~XYerNf*u6C=!O^>pxDYl=8Gya3;7B7wx
zCp{v!OzNn@t{hRX4RLFG`R`)1>9KKwFM9p9<aia>lU0zDH`7PBw5462jQmdIsn8vJ
ze^TK-OPEZX%^=}jV|BCT{ZC>?*9XZbJE>6M?eK|OJVbPEC%0$Nr--@K>2lsWWhmJ5
z4CGC|5R1}m^%|MegraZu;Ac%`xF2BA*zoNu@wM@=LL_~bcz7@=U;M5Te5>xP4Xqj>
zb~&^Shfd8Al0!!f>cy2nPHf8hNA(yH`QZ0s|Gs&m;FHqzo+L#$<sz!Q;nxJAmM;3!
zY-NEM-Z3)bPgVqBg|CK`-9HK1J=?dIu1iGSqu5tBZ!5r+g%Mv@<|(58v4c<O^gqIk
zEdAk_q5{kg_G}zHGfg}?B0$-EgbC&&{0GRT^1#%wDf<w4miVKSPdc~44C}TkZD_HU
z2g7YYnz(xA2nU6;oQD{!kfw8pW2m13$ysOXo!jP#$BS=HUwF(8S;xIE6r7{LLB%}|
zyZ$Z^se9`MIy*Q)ux<D6JOv8q_<RewxMzu2nQ^@ST$cnq9+HeNX>xFIhyPK&fBy(p
zf&8u3t-MftWFX-Js~oiKJIiDrzywbl_pf%B3V@sCjbp-RWr3QpBmEgK3rte?d}8<u
z!CZ37yZ7v}z$Fs@@IyN*tZpo!dg+V6_0g-nH*#e_{`}4Wj@RrUvMr%upRy?ETY%_0
zcNw632^(Rb<OIV%X@R45;xIvE@f8}&fZkU}@0qP6$X}@>AG{|45=CLPJN0Bhd0%MH
zhDl!dWfoy(ZXykLUrRllbCv-=L4S`I?E>Hte=O!5zZ`rB`rS#&mjM>V4z1b<AyBo;
z92O+Y!?5$Cfvd){;K<35++-;NRkg>{TwW>w{b`DmAxRDt(qg~MtBJxFj`-)nx0Rsw
zQ2(FpViaHvYBVml5(mC-MQ5jzsPJdNV0cG21xkx8p3*K$K#EB70cx2lXj-?%J!+GO
zr3O2`T25&&Pz(G#JEso6Gc|1lcopGZOQdCag)AJ4&2Lk3(t^=6BcaX7O0cU%iKN&{
zfsEZ3Y}%T2;NMMcUiLsL*xXZ|4BevuX7OSD?W(#Epk?`BW0fkr>b)d-X;l%#*hp;2
z$LKJ#O*FICR|9URTU;YmD8nFI8xvo)9%R2QG%L!~hPxe7EmILHpjaePxB6Tkq(;II
z<gcAa(qvv0b5sKxI@8@-bq28L|FR@%gC2-}3t0Xus{v7(BEMQ=3}JY5@9E)m18~x+
zFi9QMgo!7f##@+-z{P9?uF#BO_=-hLW~?^+b~D=lb&V4>zU}srlcrGeEKbFPi3W3|
zk&L{LhM+7Z)e!a40$e9tp*w>H?~gsN@R2Zt9et1gtKSTeQr>{FV!EKm9OSJ(s1Fem
z<U@iFtw2<-{6_SCU2q^5@l)w~VB)6Nc>n8qSfHhsFa_vBkQkeXxvVaHO?{FvGP?nE
z9_9LTZP5i*MUx$jU@f?JO6M(0<3=zus}fkAq`_Z5w%27&s*p(&nutDN4PU?PdF`^B
z1}t7GerBSI@Plu?m13ziXxlk|8dKE)rC@=S4?m<pDahl=+n3hxkK}s%tGyPCNLsuU
z+9wRLkMlAzGps?<awMZmO#^H#5|+fSvx4ml0scaJYuN1Yrb($+6(k>66e#`~CMcXw
zcnsP%!nfv_N8P8W@FdizPW8V@M*9Am_^q%Jbgx8=Z)Z^g!^ayODpHxz<Z%11p1T{s
z!D#4EOo}|r*^ZD{J-CsQ`e^dc;(GXC#xckoA`2g!UVUL03Sd*)9B0F>wf*cJ4jEsR
zfDIgO1-9iv_$13nKcmzNN;f{Yxx)~Jl(^^sF=Y`{`M&G4fw&d;OASTIw+ca{orWQc
z02v1)I9!C!101HXY~$a<3p3qcbQO}wI8NLfx<5<6ty7K1OrEhr@VVTp1I=Xgw;8pX
zow9^`ng{t7_OB8po|R3@@5y+1e#@I}s}@i*Qc^J<GDleTPL<9+Bja}>(J@)Z0+cH&
zLPXuZ5#~OVv0<0Uc(<-!_QWQ0a6esA^^L!dFibzlA@5Aa(HkYM(dW%TXW({81j|Rp
zVcnOz8WqWy)W+SC*k}r-`bQGT@)HdHC6uvR6v1)f-|=UpOu^E`l0-c`%Sf3%b|bA{
z1nY{2e^>;Wz?f3NPDSazjLf!`mCQ~N+?zAhPX25R>pb5!tJ|zF7Fn*$at?^#`lbd2
zCmUlZq2?5BJI9RXZd{uhRz*;$U}tMsl@a)|JEYg<vf{;Q{|6h4$tb|q;Gkh>1g`ed
zO?Mx%V<oLR^XNq~o^yy7lC3lZcBQWK5tlhJN!NuuI7>z;wgYFhHW<Pm*Uh%-F5DPa
zr)(k?EQ)S+={%b{4M4qSCg-Iv4`%Oqe#k{k3}bw$k)b{Ypg88H+xC(d<-E$$x?9B1
z^aYp7XC4C>I>EQy_!K`D-FzHYoh6Qyqmy$tOZA~pUzYW;kRYDlIWI4Lbsc7a^}=s=
zeF%(Fh!FZIh`Tjfoj7kwpz$rB*^BGLjt36ef8PmV`vG>luu4hX_MWrgZ<ij#JaoJ4
z{ZttL#Mn-I%}b$RrA>Eqx*p^$CejrjiXdCdcjfpkGU!Fk>pFE(4;;mqn&0G*QMxZ~
zTVkCo?yG&!;A^i3h5Y_^Dhox?NYZKFQ6&n_NNw-c($NFvftPG*FU2tKa$H%-Zwf9i
zsB{EV^dOeh@SJa49HYC3^H0B*#}oWr^IB_tuY>2~5=BM=hYv*Ki%JEwo_N4)rltpX
z;$uy_+$Aw7a&gyzM~XPB7lU`!>%kvhca_agq|o+=V^D6k5;9BMvO6Bv1FiX|BAdiz
zaQs^C;)T1)C@H@;YJZL%7_bFJs9coA<aKTXhqI_CkTWk`KdA?Nt}3DKY!qBLaZXt&
zTLlNtL><}Zpbr&U9i#L{3I+?5_swOf;xUQu{j*j2(ENfw;7hVR4oo)1`zEO&OJC6d
zucZN0y_t}nJ*a?J0z6`3L)FnFHYs^{?cE(3FSMMeD`Hw_pU91^8hFAc|BzjTA^Z$8
z;&x+JLIFGR>=15EtVr_KzGiL&!Im2w-!&_tMxmGv=4c{uB19;N#~5ahQ2radri?+>
zf5itRv{3lB(>bOIW0?0WxNfn9ieA@b<YNzN;pP6P*Fw8YpgYLQVapN~BQi>_{tMPZ
zr99`rqig@Gu6=s9<1H0*3!bDVx@uwGqmAM>UYdc;$s@laDXPe-m;LO|KTRC$_)met
zFbCnq2c~9;su&Vsu2O$k6RSQ=gp@q7fF>8GV)d`8=zFeCIW=YNUV)r`MVXdh-p(}=
zETM*K>{Gv^uc+gd%C<exp#+T9T-RCDQo|H(W9?Vl)i8o3v1wioz+(M;@lJ{w))rgp
zy_-<M<jIbuyg-0my0YD3Q>xf3&s6u)gNg+sG5;cK0K62|v$m$I;?l#bEj;x~xDvO0
zBW)JIbviD6Ref##s`$)J5k;Juj4$Alu!7_L*P?{)sNk7p+hlt$dE8Z6^LRna3Z9J#
zoim=KBFiPocMn44FtgA?DT;0d^lg%&ga#EEpT#PDwn^h^NMmiLiWLN352-%jq>NR@
z|HNK9NnjL<W_~HZ6)1;u{N(jl!ZL9W&vm!OaK}>)1-Eg4^jixa_0fvB|D~LUfjk-W
z*ev~aRRXjyuM~AADB#Su()r6XLippZ;|ZTgfMGxSeV5zv$k$hU><YgiMwtIqbOV3^
zq3Vpk_bKRi@Qw2BF<wk^Tjn_Qn*d@c<;725IlOLtK5YO<sHd36-|RuaRPE_0*&G?<
zQC&=$lHo$rhFm+(x0W!e5_OOCQwrOkB?a;aav<{#_+qVL34y$nNZ2Zgqu)i2zBgq@
z3-<CBdb|ZJJycHdX<Ub&lNI<fJ=rjBz}xi34|5nh-}dE%r#LFE6xyqPWyS1vPqV9A
z%)vC$&&W?w3=;|!>pDwVQS1ChUG`!#sEK1g&N)TKnwUd6E6-VxdR=njA=wOe$GZD$
z`YM8lMg@4q1=vuJKK7M0%oI{W9Oiz^3**~J9@gpvHk6HhvoCVQ1lpYiXf7(kIMl*K
zE;eIFj?o|v|6L~V^}?-RRi}k8tyQD6SC9i8KOR0M{@NJE|HP<J`vvhKyH=SYi4*xw
z@b1ksGlpsx^%vI<3L?kZZ<B>eTsRP(^>J6Z5p?mC56v<OqJGSq3i5t#+*)w9X@i~-
zkb<~(NBIfhm;J%joaH1``&^QpQEmv^Ih?o_`2~<Oglh3Yl@}A5R_-L28$!<wRo}=S
zel%dbI(EF052F-zKOo*3fVH;1+UZVyjEFrxZ+ut)^XmnrhFuL{r6PRJXMrE>f1bH?
z?Y1DYEoW#KOzMLUJ;jNz5kTJ;uAdFB3ZbA^bU@EVeF$DL<6W&0z#Y#sw>jMq#vbCS
z<x_Qii1qm0x~e6Jdarl$bQXx<Bt1&)O1mBi?w?IPdQA{bBZ^8Me;{L1dT@MAxE=)E
zx$^5Cmk?fF@OGXS5ksELamk{!UKY7s@NP+x5H`Dtm*gB0#{j9(xX(Z7P<p8GND*Ba
zKmPO9dDpxS=U8einu_UQad5Ln(>Gz%wtw#Lwn-B2T_JNyhtZ+!SB#Z?p$K~OJuN2>
zNa5@7)74>)bl@|(%{aZrQL?8@{*B8rm^vv{TB=P4xoO4F^iWZ}<fK7Uca%ftqu;;Z
z7N^66nNm7`lo-0jFscuvQ1DYvceOGv9j=y;?y#kcV?%toxM!j~+TR*3bmyZ(%%>f+
ztd@0nOWjic;td6y683XDE=`BG4Y!^9L?uyl&ON;+M-c<v`<{iE(t)i`r877{3KQO#
z*#4?f!mM3YF)c^v&}dWXJNiW$d3rCew)80Dz_TRbClBecAXHXuc2pMmhI2N5TcP6C
zSmX~_qQhN{h5rATDA+S%Bt5F2ie1%0LBv5l$bb58rM#1Z5i4aI>o=%j{k<zrw0=EM
zSa0|H!((}TO7XaMd9ONhHy`*e>!%N{Be5|?i3%vu+TV2kum(yz&(}>{X8<&XO{bon
zQp6L#{_B$3uZg^}kKL2I4WOfRaC5zj5~k<2n~+SjaL2R!%A5j2m}S!OvN2J{xU*ya
z=clyLWvpW;GQ|jl!Z-8Plc|`0Q9&doOdB<dGgJkVjKSG@q|0)IiuHR?l-i|@n$Bvn
z8#7HnC|>T^={yzueR)}hHmi-5B?r>Po|%Gsr?X|Rn<@@ebXO*|X`=v3L+phvGw>Ko
zqYlofB8{{;nd7K79$@Y$FPk$5#_a8<ynbppshDaTU!{eP;)55Z`7J?yb7Y0XJ2m`d
zB8XpKY2uDyyXZkl0`ewFXXQE7ky9Czn-et9mv8$$VG_XGPfvqJCDk!K%KhoGlsaB^
zCTuVS;BoGIofQssbmH|Yp9oUL;efk>C7%G^b;rd`HLmeR%`x3PpNcM9E^t?@<+-ar
z7t8s>YFOry+Q|D_3IB^c8Siz_3i6C+63hBkk>GRsK<ZM!Td7ll!WXUJ@P|gb8+xi3
zYTiC}^BV;f_nvt*nra0n1FuzU9aBNftzn<xlttb2uR`@}^9#(Q{|x@4V&tOJ$k9Ma
z)cCxTC3wjSp4S%of4-`WyWe=tIVp+bckPd7%a2&W<5-pl!55YAyWM1VBZZ7BmqsPp
zOsqgp$!5$WL=pEU@mOpO5JJxK_}8~r0VwgD4|BZ~uztUUvy3r6PCf7=*01sL$<f~j
zer}UTyIx|Y*^GoXpHF9Y`2$pF*|j?n6ihhhTXABX11rkJxil02e!Slu+U6sR?*_ux
zRT#42oiMqQr|AS#Pmqtx`blHg-@x$_F&4DY6&5}>V+jj};kx=)B$4)#lra{{gm+lO
z$9gteg0bKzE&k0q{A0mfHS}<WG1nlDNhua^n9VWtro1?gOx6VLRQty`{30cjdE6Wl
zOT{$$(?pRYG0rV<&oZMN;+C{6%wbZlUPZx_jF(cgm%XUV41pa6`-YOtAaIp)JnFA7
z`km(=J$h=HLDo;NdHB;5`leMXZhv0Ou@eWGb#?wR?3>0perz&@Bw>bacCR45+9&N}
zYrn$y7R{P7n{NWvmv4)$`zL_$GvSUBPgWUH(NyjkK@-SjejubB&X4ImH*GvhnJ_GW
z%SBSCF^IR;TD6$)A*F<M)3H2eT&Og^?>uS*4NjLQ)U<dp{8M-{PYnxp2Ia_4xEevN
zl+~d#PCWP`idL*V#)?CGrl}uV4B>mLm>gFz3CCQEHwJ35<5IuP0}XpaP~r0_cQYj+
zZ(T1bB#r~W-acUY?~MUmcep;NFvE?tzw&uqmN}72g8!+zg8_&W$(?(<xN+}a`CqT%
zxG~DEWxHR8K4f(Y6x$DTqrcbTM+@3K$kds)?6BqqH;DZ3U~v+f@$2QqPx0bU>E|aU
zXY`;Z>;SwuMM9eF{i%>vel%(m*h9Lg2i3cuZ}*%hp=ZYiAC|*{cxaPy=}u)mXgX~c
z_BMkDi|CG?u4jbMy&73f-q7L4`jLS;A6|@0ox3k_M;P1u&v0=2(qTs8V~2}7AO47x
zK2z2vf*PxSn<z4LsCW_Zay*0|#gp8QW=M;o0$aJn_jX;_Cq`l6sS?1kT@<==gcz2q
zWnLJ)q6>~HQAMv31u?lhd~w^NI1X(xPk*po7gQd;QG4ntgf3i^^vMJX%vRHS(IKM?
z-%V`lj~fVM)+P?!)0R>=VEjN>YnBEH>>GkEs)!)t)g#&zw+v=(E~&iwo(2j>c^oQr
z$XL;GBT{Wf7LQ$%Q}|s&gWzWVllQiY;>X;uhWfJ<boW1A8dydH=(}<B%Xu-3uS%Yu
zjF(5Dy%nGBpV8pmXvCkz_u^ROM5!<=P{8ZvO<au)H1Is2BD&s00{ip>quzW}#LtGe
zR(*cZ;GS66LdP>nJYib*-d;!<w+ndvd_mELybphF1#gwc<zdMkFLqKfWnEA3sUy0e
z^NZ)+rDYjpo)Bn0ldgjO+tyO*l`g1yj*WjpIn1{*xYsbDiea5Vy<|)WnVC0UubL@%
zLcCd8+DIM8U-_J&yrhE(Bd+3ay*zsH*b7#NY2dNq&^KmB*Lbwu|A2X&0@^W)R5m}+
zM5RkQXIfSDK_--%YRFK;EpmKmJG-@zt{qOZV>JNp(3H1}YyCU1e7~D*k2aQb&3f)#
zFaWX-rE=-HGAeZBgfu<X!7wi=)6X16U@ybn$WuqfPlAKgS2{FI*hx(|qiGDWmbMw*
zMJkxjbLT<oAsR-lnD2RX$OK*#))>4^P{sLe^j@i88kYLj#9k{j1;w5FjwiXPA#*{^
z1AR{#p4yt4F#pdC_P5K$b8)Mq!b{9qQlw#R-nkmzZ599?=~b6*sw4THhlz544$8l}
zn*89lCA3Tvd#6^_@k`Kv`;4_Vay-wVH*^s2JTsX1XrY0py8;J--fCiQUE1yop#Z-v
zuZu2i(LkeXr{{)PG*DPOboJgMfMwIh&%W9kxa*vk1Ru+q4?dCbdgpBgR$rJLKliI+
zg+`4|UKbTZ=TxFk)L4Ob>(K8ocXjLxDE5}Qs)WuiH{%xnT7l2|<L5M<s$uNm0v1b9
zK<^#Lf3V4|hy9a<WVtoZI;np;L10b}og8=#H8j^lLSN5V$uAZ3o@RuL+>}BZ{fz8y
zh4tWTy=q1pprTO4`71`z;;8?q!6u!3J+N=pVboP9V{fP2mcch77%g-y_x%Se_)|@d
zJr|>dA6u{8T|Om<pYK^+54~*#trzsPYpoUWhe*);z&ak3-aU6P)X@t3?2WgaV^=_@
z$-aM$iX2#JeO~;^3IN|l?f7+XDcJkiHl>o81&apqVyU?RC+D|(bySi=P78b?>F|&7
zHm5ku(;mQ2+}w7iMH(AzZ8_|h|1kav^SN+$5|Dd|^%glr68~F_P;{G`W!RrB-}Ob9
zfD??3^LpXyFgw|3z;Jbnae5)wKYF_*6t@Ru_*@dh5N=^+P1Z@q)f`e$+%*fBO#iqc
zw}y-^Q(p#_bG|bk+#I^A)M*ayg2G0gi;5se<$_wm-3f-8OZq2ONpo<h?s@j^h7hW?
zkcv#JCKyKq68=)W%)oBjr-v%$g4mpM`-o57cZU3*FotKTDYORcG;tT;M~Rh={PR&i
z89Apq+U40z;Urw?Y5&QCgYma}P7VBG9NU)X=fBqkd;>22P!}Yj)M{RI;=XCd)RMQ4
zONB9L@Hg+s3*bUpoM1-p$_yjvsAb2yb;huAN>%8D5GQ^Na_?MfoMT-5I^Xd2oDnSb
zQC{2`W5-C-^uCJfd4}{@*pkVpA()B;Jqns*!`=Gh2mUlKFp9-wmW7=RA;vk^IYgHY
zKZWyMIJ~^bcpbX#r_CB);_vSs+n>gYi@Xy1*W3SNoO_j>-eh3_i&-~@bm^@4<WP@`
zz#1R-awfXosn7?C@1earrdaS*m#CGA95XU!pNlRw(uX_BEJs2+S+M<tZG2Q93ywsq
zDhgJw@#0;DF7~qEv)1!3lKWXvX0GA{uGa&sBVS12WX1g0RMzOd?0B!~rE^OQ9SR(j
z#hQ1rBFCzj-@|DRy#IRhhAju^aHp?l`XaKT6zN`0(OoXARVe@DGN%hK%l7TrzJ(35
z#CvAX`jD_O<iN6Ef-YD_W!V4y%Z599af0s3i`F9_=W;Z4VWYH1ZvJa_+`WtGqUK?K
z<O;O?u&Ip()4YfG50`OZ%Jzp1AzKA;X;Yz$O$ZIBs`stDo^#^srMyR(;X=r25Ro#b
zLW5>ctt_iqE)>h*yg2_#7|luEB5IX75StSb+h$9`_W?55XQ^b2j};6F*U<qkpW~Y!
z*7Kk-cUq@@wkRro5V|m0rVVADUmem8@}X~9yPv9=I2!BP*c8}mL)_K?!*WdlWNEu3
zy<>JA&NuB#+wwyTytUi5kk>rU<+$}sQnMtE9UHhGe@_csZ*E=6%@)GdlbZ&z-%8`9
z0_T_jUoB`dO0=|V7RJ5GWpY2qWYNJzSI%{Z78o2Ubk`OjqgK$>Ci9yV<hJ`S?B`Z3
zh`-Jfciu-7#k9O!2b$%vRhsgiIHCpL+!J#5d=taMi18{TQAO+*%RF40r3F(@o`>8F
zU58h#PWEK@D&ZTV_qD;Q7CZ^LHu^zR5;Gl-IlTR>jBmr-_jI1u1_51eewSq_)MhGb
zzPU>UmAdVPMT~U7e3}&AHYS5BvU8uOKdGXeQVG*`J{q)+xOr}!mcu=Q43>-D>bOI3
zemmt34K5@wO|EjwV`;LkUH+T~c1Pa~U%ycoT)(~8z@nmn1*b~ik<V%209!z$zZ<P}
zNw3#@@Moo@N$M6wJpLfjymek1uY4Tv*t|f8$bNya#ZV=@a<1b~k_HX4PlqnQWYdTL
z0RRC1{|uLRJk@^`#*J**d#`KUdvWiz=l2*D4U(0V$_j}nDj89Pj1nac6<L{4lJWh>
zYWPXnLRMu&_Ex|CJ^!5ZI_GuX&-1VsuhCzAPCz0}w_?ZNQBcYfbC|M*7M!~$6p_-e
zh_rcLhDGkDqB2E$YeJMZr1Er{w=yWBRy$V#l@cm?$5b5CKC1(b`z~d5N~)lDvcK9>
zC#gu?C-j=@c|G9M|Jrs>frx@>>v!musi@t%D3FWO0El#$bPP8MF;`ZUwSJ@`!|R+6
zb`%+c@&p@SS2qbMG(N5-`A|`fZUk%beq&%{eD;*?92xm^Cpt8>QINONMw7}n44nGv
zyRktsT5j$xa9vSHJZo2ncN7BjJ$8y`=TSxXRD}+>OsJxd&!(#~?M+}Icw-`kMHMaS
zhZL|~C83x3CXaXiGy!EP%VGJqWb`|jsQkBI8AX@gB}p7L1%uJGoen@ocBvb+=B$c{
z*n3n%_=PDP9WSNuMU&8#tJ0@T6y%YCS7-h5PgB^R<UM*kjfnIDNe&P8$e>HZXwdGD
zDSQ*Iie$N{g07(ot`|Jwh~UyWZnkO)^=W@f1hkZqsC~-H$ebWr&b$3$w#yW>|HvEe
z?NUU3EEB$>dwEgA37-V*N2YMCG{h|ZBmqr%U&!@$Vn+<yt_=I^OySl854)$M^5|{x
z?zU!(5#7z#3^=%D0@qx{b6rlzp~-&prS2OWI9-F0y+noy*a((*e;JWMLkuQP?6q^a
z<!BonJJkgGsE^Ke^+};2@|@PmPb2ust#5<h8vw``V<QJSC6G3goL_TUGk#psrDn<w
zVC0-V;&2y5!wuTUYK5z@o6cu^?|#Gp8?Tp29~VM|?p-wB+z#w@!jYNy-^TFFJuZ9b
zmH@J)Z+>@^IDkDW+&ttVYz&|D!veC-@F72OH8zH%Va!0~qkxII5f}$?@;hDRL2o>D
zKdh#YVEX=|ZVkbP@M&dl<2%=#2ucn3w4z6_7t9a#8kQJ<Rv35HOEq>>Fr4Jnl{Sot
zdDJ$c8GV?rw97bmkOlch+{r)AG=v$I7cLvq^noMYUz60Z1Lb`=-Cn%Vhn=l{PfHBd
zgD*MJSE3>rP)eOm!!^S$ES9Uf^L(o=^zqn?4@A?Ug{S-dR>j+~o5ywTR>|r@_zxKy
ziL`C}bxUP}%B3dE;L&AYsZbsGi8E#}rf%S$BGQ}0HY%_q0YCh_zG{Op;bLFu_9{+S
ztS<EDTL3OGQhntFrVSmT+xhD)%eb_}V@nIMN<7gwhP5+S3uGS*JaV60#5=K{+yvid
zTu{hDB27RG9(Z@o>N_pq7S8SI7gE~s|BhXE2#MAN<sR>ZTio+_eJ1&d=|C5*XCW8v
zvY`R$s#S&inC9@g`$f7+!e8;s!-^6z=QQ9#`(Q7{YZh0jcabet7{=r3Hh7-=rorRH
zJM(?y8QjzU`Ip$*QT*vQb&Y0!8l2hb^mfha7tURGyNkj3JHDonx*fboh1c@F>(0&7
z_{i|C`V58%e5I0P{V;?I*!;ASV!|~3S|H!`(3>foj_;chfr$!@`?HQzWlZBq0xfzE
zVrTG)k4>9fDHO2ve8~26W*Uz%Z@Z<eKZlbmGTH<bC@`|qmnAy#7e3eZ($C@TJT4V5
zPOUqu4iuq`pF8bl@R;#!*}M~r_!myCsmGaWu+n?%?>Dzud@RtJq9D4A3t!@D#5+}C
zerD=XT<LH8Z^JOoIk$qJD!<Om#iI(#>ZOB*59e@E^*!A`CfD$lS=#h98!{{z{^bmf
zoX2_h_A+1P*u<BvR|YBEBf$fv-+#Gd7I5p6WCxZb+j!=M<5!k`5MgY_sl=~v5l^yt
zF1^wJ7vFtXotfEy2$V8@o#2%ve3kR}xZ+-Vq|Ivk@_d>Kls0;|p7C74C)|wUw3``_
zV}V4E*NQSM)kpou@^=+4qdNA=d+b0DMN1!wx+p{CTm26AhIO2=gEy>%$c&=3lcqkk
zD#59H?0LeKo46Fm*v?5YR+Jt7A$!tP32N(Bw^W9<@fG@?xtjXys3Rk}Y7i;H$xZFf
zn^JU$bLP(z>qJgu`MLT#>`{c&tHA<Sed&?gbXcpcC^x!);nwMo-30i0IEuOaD+BVe
zw19zm9z@!7|9bo^0R#$DhgJP|AV-lAP`<>6;$!!S@(U8+#E<P87XRiO=v^#%LJ&aj
z!stJ0H7h{z_GjD2Jgn$T;O2oV8-hrY=d0uKXa!(TeDqyZksVETkO_jD!YEem-h&W3
z1?Ydh+CS*WiIU7O$-N<pp{qX6JUg`%KqdS~qs?zFbY-Jk^i9G)J_TqLk;n=_mt9C>
z?&d+=<m6E`1!**FX>qVYUjcL!@4OhX<3nD8Hb*AcWl&a6)z|YL3b5Uls*%3Jk5*KE
zRt$&BAp>{8V-2MWpy#6O7gQ^V>@2?hOp#SUcU{fj{E{WWy$hde?>!erB#qM0pCbgs
z!`mgeT1Nn(iMp}wx1z``n$*)-r-bzQ_C9`<qzJKLjRTQ8BvAd|D{(ttsi2H8?U&8z
zN<hd+>(vR6LOIqGOAi}J$fah)(f_+LI4D~j-g`|3y_Zd53>{HLw|B8<`h^j}V8Ea0
z%(yH%M^=%(&PYL**Q68Ey~#jJ>zFrllt;%^ob8SXP|-%cUe4YZYJj8G(WO2GwC(=a
z{e?IUg*>noK2SmdB{Q9IYcEB_qjb?lk4FR5Zp40gsz-xIHI?;ux0H~ppx$8T4-Ite
z(C_N9H4RXhyp-;ktb)RvmF;FzG|`jc#an?>T975@pKBvbLeKyEWX!>$g*Mq!a^l%^
zfo(G>J1vfkL=RM#ztz%0TQNHc&-d%YR}(^0Yo97Ie_A}k#jk}#Mm^PxattAg)X>|s
zp@zDtY1EN4P1MF1F`cjjgU8KM#%ABt(d_H=n{TT$ki~+GsZ~Be^n!d=gb@X4mUerq
zU!kEImQnxi8WXVYb71^&l7ei76tCFLQ_x?<NS%^0Q>fe;r?+*Ypx_$=UmA7PP(iP!
z`_6DPI5gdNewQ2t`RO%<RVoqDx8|y#d@*yNN`3B`3Q<SQAt71J|L)7><SmeJ)g118
zV`q8btcI%3zlV(5vM5yQ(o^Tx=AdLZ9%M5|Mnbj+BOH6gkYrNuRjC?taKS6(i+7Pw
zy`b^W0C9daeD&RUY^piD{y3Q=?W2PFBxYMq9%Mz+34;pEmgW%Y-m$C1R|ygP$A>Zk
z*YFz=%8f5a%)qhw+ovUG0vdSAa{*!PxQ9?nPQ0fXFdNvYneCECLp^0tmO7IdpN^hm
z-jFGLI8;HD)RaZ+sh0=ub*y7SVqfkv9W;f&ab>vyHz|~IN<-<`7CmH_v{~)PO<<qv
z8@1INVkjnD{~=v16Ksa`9{Hhe0_8TMiHy@ii2ihD$aQyCpmLO|C}smlC!F8gah)I8
z=<n;0S78T-_p>gSB?0_CjTwr2@}LI86InYAIe?gW>W_^c2Cs777_xA2AeHUKb1v^V
zAdrb;?3bA_l<W>V=Gno7y!hX6wk&Xfn`YwW(j!KY>)}I}Axw|9VvWi^^>KhHPil&E
zm?3n^hut}!yN=g&2c7o3!vWH(Wxmk`24E(V%=zD+dHl2Je$uUfeaC*xdkKx|Lq>4f
z$gy2N@B`g1qm&2O!PaOZj7eS}%9W~fQvP({pUVn<#z(RPb}7{TmaiU^ilppoi^#+z
zm222Rn;nW;-u7_R>B1iSe%Gj+F05$VpemN09VQmecMb^Yf{Dbu>DKcxtm;!<S^oqZ
ze5sGycQsfC_;gwb6Zz9vb%v^+<s2Kx-n6n$9nglUceg|wFU(^zMb#yPV(hRse(!OW
zg*JRJP3#(JUBX6PHv0#C*kSai^Zk-HT0s7_lusF7#R|m_>adNn!<Fxr*=95?ICJ$f
z+q(}N*qpWIMoT0II8}HA9V*cT$bRZ0m$;3E?GF25vyT(T?%f<|rfNcwI^C<2;&gCk
zpwOok+X<=P!sgSfG(g!NQ&94zhlST4CEQMMf%x_xxBqr)Kz9}$=cft=$XLGLbGVor
z%w&0Q1@+NDr}wwrZ-yPfI^Z52pT+~Cuvu6VK!aYjT~S{gnV^8HdtA_$7gpZUymGl|
z@Idz6$*Yyj&=i($TjtCMau+5i?vzu3pmU_VhrkLh^V{Z!J^10KOuYEJV^kOrNIMsj
z!v?FvW-5~L0uYC8Io{!-!sJ=itc8DfHI2R#O!z1W8%nS2&o)yakKUC1`7cgrw6$@}
zQW1ufp2oobXbPAqv<xi2=7IwU88TXPM1U>pkxsw?3apLoJaPRH4<sk<^k_2^17qtP
z(O;4jSh_Uvo%0AUoRwtYsil{I&5octm{W&cF*!Gr&-1}%?|F}i5lN7k-NnoLMjdLj
zlMN%Y_~9`<7F01N4F|eHB~IQ~hxpBeCH)BjIDR`b#&U-&SWqU9f4HL#VE8h6(M$-$
z%;#5zmE^!hF<^$LL>=bj>{?$`3d78^h-Lnx@-U+#(01^rI_$5MG&V681+h=m*L|4^
zP*sxl=AtYG_Bj5~<DU`(%4x}pgn0tojr(lT=1PGNQy1Q-=Sx831$Robl@gezh~K$W
zMFI2lSslJeDL8nC#H&-G3>+;Y_8*j}peIs2X{IX!Op*a(5t2l(?30goDxreJfoB?x
z`m%6nZRIRSGzs*jFEjBRqJhB1DUX=la&UrmyI^jN491=tgaBR*C`j_#6X+xlD?*%S
zN2zKc_1WAjepUm{<?7nDoK*nrDw3m?hdNlf2JWk!)P&&ZU*nu{1UQ}(aym+n0u#?;
zv!WQZAx=WVh3%0dw38lWpj-+lKIu##>F7Y;I;p3jKnawy29~u~DUg=%<3-LjUGRVP
zT|G5l86G(4%}mNtVaah`+V+PYRLh0_HcwRnd7+}L068j5nNMX;+Z#YIcZ#;9I}sL3
zHs4)dqQInQkI|ivhTzX|e3F@;1f3McD>i8qAYVv%C1Y$1H?A3Av<wmiMICXm-tljb
z6r)1FEDQ<=j=q{pB<TJ1>RM2Y8tC%)N5)?SV9-(c@3sUP{_E@#d|UX>FUBin$8(v$
ziroH68y+&enz3H_5le(s#JJxk*#w@;EEQ4PNU)XOSgB7|1{QNIai3KaIKLd9|IL8}
z2InuK+5!UbR;cVrGdG1Y-f*kmg+##b>C454%0uKeAK}R$Qz&#5k1g+10iox|$r6b&
z@Y|b(+IGVfcsY|B7dw>Uq(Ur}nIZuSB5#lNT{i`fKZ!45%akDW^1h3Dw}l~T=BLXI
z-+#GvR{z(p^NK+9PaS7;<_AQYY+x`lh3+?x#M=l2_{i^(Z=uQ!@q*vw3;*RxBUW{4
z{zrK@=-lL)eV-McbP(q^icMe}A7!|7Mh+B@u3x^u$OvzTd@oTQP2g4RDE(z#S*T$t
zyx?55h1KurtI}TsI38f~Ss+9jlGg`r5!IJ5ZCyR@v{V45@uR8IlM*1}EUZHgpT$Jt
z^3NSm1IWp7?Ps_k2BLfAG8BWpV^!pueRN3}T={JsGpsBEFAPNU*_sEjBRhG0+Hhmo
zI@^Tw8H6CfzW#P@M<*6kS5wfoXaqqqQ{~D`0`T16Q0%?tHY~5ssRAPzK@(wVPcn@U
z4xgMlcJ}#ujLR?AVbRkNMhlPJc8ceLmlp-@i5k7fl5Iugy>ksf^<JFxQDH7v=c8p$
z#kFG9_s+DA|I!B$uj4n3d^q4gS*2ov+h@$`M!Dh@9ev0&ULfbPv4Qxm^iYLoU07z|
zVIjTideFeeVs~_&88!l4E66SVSY1oa`sUYvJ}T9au3dr&s$*84%~}4-#R|M?&$V>n
zaaQ6*`|FI*ma0!P3K+wd`wtyZNY#ODmb}T`WCj?n{qi~L!w<~w#`_m$tJ+}gbA~3*
zLJ#r<40ql4O<`v`RBC^?XhWNQ1vQ(W4%8BgYrSS>uoP`joB5yxj}un&9^U_hm0K6u
zKJT8x+|$Aq^bE9se-E9&mfJR_7*e!i-?V^{Lk(if|LG19HSOuRw1ws7Z8zL*Si%}E
zUsg9))&xV%c`m!2O>8?qpi;AA1sk#>{O!xufZdt9CIc^QVoUP@ZeLc`Fy-vcMNfhT
zNJd@e{%OC7CF%rQlu<Xa94ivbNIng?SDXGS`fp;w4c9&MuWw@&iwq8?G#cQ14S{ZG
z6HDvrW*6N4i`iUBJsDR=1%<x)(~*0&u$rHC=Uw;F1NUzC(^Xbf=(xl=$IrNp<&Bmf
z*eYazTokw1KS}}T;Wuse3)`5Lv%QO|;tm*k8h>;vgaULw>l@_-|6=2Ju8sVyVuB%u
z+f_7S3aDDy-`&)rgZ_EXfb!EUP~2OSuH~-|&EI-T=Qimeq^yX)&X^6znk<18uhn4o
z^-7P~AUza$I9&Wsn*;dyhi6PU)L^?{n1Saj1H?2+Ew?!CgoGp2Tn?vHLF1hC)~gjp
zFguj{s`VK+@W$?5zV;s(N`6oohN(=z7;a~FkB=APcsL(kH70|_^JtskBxcACdrvhz
z!v}P+`X^MYNf0`A=149VD<m&>UN-v94~63*j`8LsNPRbWaJYgE=(Kl_tc40fz}R4R
z_g5k$`*}Y9aFqjcV+F8jZDA;QeWEr#iU=k~T5Nm5cLD>=>_V)dD7dLMWx4AUL4}z1
z#Uqy+j)sc{P{hUI&d~?lflNfua#=m5M$Zc;zR&jx@0El{&1)9oKU84$DI1TWB_EhK
z?_yEOmIiaBjuUF%{?)zYg0B|wL&n=H56%e60(D7Rb!t%s_VS%?%~ThJUs`f(5&m*;
zTD?e=RhbBMN&jhbeHH@qROWnxVR`6}&GBi7AOdsOsmnsQMc{WGuj`s80US(AR=)oI
z$4&m<{zbuJz;s*xsy>4fT)fDWb*tzf$4AAQtwSZi{-NIKuo7kX{)ohzmP7{jJnoFn
zEGfWU&+eP^A;LSuC-jqfs<6npaYH;<1_n8Y1J%^Ypk=`(Uc#UbyF(T5=lQZAM>+a+
zWl0qbTk51|4pLw*t=6x9N)C2+Q`)CqsKfO>X7Ax$RA>ueI?Su10C755MJ2@)IBhQB
zzRQ&ct@`%|@puB52?XXTpQ8fTj?hy^xf&odtY>C0q6n2yL)9%(w151X|8YY=3rs@-
zee*SyK`8sc*4;cBupTE|lgrbF^iFNV?JyO{l=!nwWzhh(x>E<sj_HDwQ)V#dOCpr+
z*ZI$hssVM<n1hv?K1>>~#x}Q;Ksisut4&G+qK$<@_VXBmpXyhGTP<X$;@@d%@SX<l
zWG{B-RU^>0jwtw;tO}I2qDXaB8n~KK_Aqo|5O^m^AV5Y9s>%=Co8L=?c}nSyx2*uk
zkz)E^fEwIVcUz@XqCgi{+LO2p6Ue`*BcmFw2DXe(4jZJZg4yZmrbqitVXtX~O`xe7
z3@%beqaumm<`a5AY0wn1{7#kx)Tsjd8{#-YQwbdE6m@kh%z!;%y@q3%43=;5l2=;g
z;Y&`Yi(G;kyl-U9TAwDt;JD&R9bXxUZ7*++$~S`wo%yp4&xsH*pKbf#m>BdJWZqtR
zY6kioGtsMtDiD<(^z-mx0SI;4dnYH<3}no{I~6@wf=RmNJ5M@y0(az|tTKat^>7`l
z7zRa1wmObvtam^lL5k(>cT+gS)NosQzXE)`c>Kx}mo?0=vG&WW2veAkc%OSPMGh1q
z&NNrlea93I>su{xnZki&hfkLVWq?jT@r2tqSDZds{e9S76L{QLVDI8B1!q)GZcS;7
z;PxUh11}{^Ad<YZ=a0TPe2U%TQqh^kSD<OP_7i}Z*6lSxT@lbJs{3^A>mt6tSL(``
zB0%x|Q9}z)L6|J*Pf#YT;w_)&1^HYsxGC`vUwFp{Y~@1d)Ub8j(}$yJ?z}PZTqnPc
zJ;?)&)5$l!d2Qf~J^?fPZyUkTdfev7aZad+pAk;%+rVoxwua)X455!Je7(wp6;$+k
zL|xGaj&QD&@}CBfY+tiat$hc)n3+4#V!nZol`CIPlQe+(BO8l1?$JY){jwF`^>ut{
zzG!^lh(0KWG4kFD-o}<ZtdBW9S;KSlnAHiHdO$c}EmnPW4P*I|=(am=6&HWAaCXO(
zE{I#443_O##KI@KJ?RQpa9zb?J$webaBxKRNOAFRjIETtbnx{uZhPSU-0UqK_&O&d
ze*4h`Mk0Q`C*8Y*U*(?Y!e+HW;MV4@71vQrbz>tjfoBPS*Eclr(pno1dnPg!HTGfN
zG4~@^JQs0Vsz?R<D=jF_|FBib){cp3w(Tn#TEM&B)L7EVYQdFjVb$STwHT-7yXv7!
z3%JiRo#%<0n()~BsaI)c0Im}w8}~zR0k1U(h}dM*1io@PszFW-&ds@PbW?f(C%NT+
z%e|}tc`rV`c53{9FR^mVA0RE@9~sYez$y*+a>^YfxjS&a<yTxMjxFF5+c(#r1=HZ0
z>id%i_V?nur|*8Cd$oY~-YS0aW}OPhO;0=!)fmL<*tKt8)LO)|N=06HT%kgN2K&^$
znPFUIeVa*dU=eo|3@y6JPK7^vD_Z7AW4KVX%d^>nB|MVorlOoq0UhSt8MWizaY<jv
z`Q)d|xV6Ea6XGfqcsw)oY{$)?xch6;w0GkQUPSnF?RAJc@X`$54mMBX4=!xg5&72e
z?!&ASc)l7;#u%<vaQwn8o+ZgmC$8hWdrLO;zWw{>`082>&sqFq@7-V8`kQzXqrbeg
zxGIP~^*=e`H-|6K)0qm2ZQ}=Lu6{dxj0{K4UJqZXna45iOV4<yfAL=#XPXE)Brst=
z(y%JCh+o@mP0FmNLsXLLyz?><hE7S+N*^uZrQB%GGj;~_>+z2S<$Xjjd}XUjufKwu
zE2<V41~a0en3|FoxhnA0J8N@!Wfgzhw-DmY!h{~@v_7S9sK5|M`tMJD>$rDHsJ~S`
zGcufH&YTKThSra(+I&AZajTgs+uB@KBvw%;YCNF?;aSdm6XpNlG3%98#dYkcTA;k@
ziK`Mk>pHZkxt9)U*j#9jXWxl#))?>=d{=}#hk+OOGU?H?M`67ZH@T6fnc;5kKt(XR
zd^LSefDwrfvl&?ud65a5$m?=eMG$ex5A-kEfqcr={#F<Bp-9Oav(NwKhL^%&7ID7J
zNV}tv?;ppI^nygs9w!2bA2gGkvu8#2yj<UCL?N`xD<DBqhyXGh=I>I^u%rA2pO6qG
z5k!eut`i(n0I_Fsve}iKNb>LbC+@alNK_8mF1=L%7H^iTS9H12O#A_Tp)v^+#ZqyN
zu~Gp{#r{)s-rzwkj~<Ffnn@$6M-O#o8x%m-vRF9iA|Dd0wa(69mPJ%ihep;J1?ZTv
zof#4lKx+>=ck{-|q3c<T=UcQ1(55nRs%uaX)flzz$x>86-Z$EH?Q#h4P)3IN)O%qR
z+;)9Xc9eh)k%#ItOccT2c?7c=6h(8LhIxKfO32c3adAJl5}ZAJgSSIW0*TLKOr!!8
zMC8<Z+ApLG9Z&sso{N$~Z;Ct<4wsS;DG`m@pHP9$FWl8%<77|_cX;8iCROw~!a2ZT
zi3mcwM*2_vkVQInHnm4b)zQL?H;dp`GN9H177=@S<mv41E3{2PX<ZuqQxfWM^JK?4
z-VO!yAt~0#@-G$D?OfSwG)w`l0Jg)Vql#!p+4S6#SsIc&-C`!}L4%hM{nXw}DItUA
zzLdR41BKXFy7@|Kg4O*3X0Hn>$Z+-I>m6R2sLs12SB^y+#_b(52<t?|N*-vb>(xZ}
zr$UpyOX$M=n8a5m9%Q7O5TY2xq=hCqIK7kX_2COv;8;<jiY71t+UrqGq<t&)a!-~a
zFiPzb%KfN@93C1w6rIvUA27r3u`9-~;*+x5uuvVD+b1YX-PAxj?WpeQ0{~BT<Bmo-
z3bJBKJ`{C~hN{c2voJh2fxk+3+`D&EkjJI5*LV*Fl}wc?CfqlL4=bF9CygnH`R6Yh
zotPTB-s*3G-2dsOi@Nw#HVX1$uzD;hOGMBWbT<008F-#~HTTd;9n~wp{PT96fFcsv
z<$s?thbv74Tbi~S3KYM=eDIAdnl=*DjDKhjvn#DO5*=g|-f%rBe4jY#snzizWSPSr
z?p2LcDhV|m+WK&*gdc68{f~&@=3qCQTc3Vh1ud4IXBEn4L(@w6(l52l0s9j`Y(1@n
zj5dwE9-Z36OQhd(XM8q;qsM{_{oD!Yg!)EEW90zuZFtEi*~tt}cD##9a*#(Ww){Wc
zx<;}6xL<cdrzu=>bE%I!Ad9@3olf3=yn?wpvZ(o4n8J70$q?EzDHIWBLwbLT4kBbv
zOtx2<K<j@PS-xKkMZB<{=b`R^vmFOhB*`WqAhoOC-dq^93*0l78)F8s%(=wEfBL>(
zO)|4`iXS};DfDlC!3vxU0wt^B077FyHxxeeAR!I|XSH@V5IoiL{k{$cd673Vzt3}^
zr#+rAbsp@H?jQYv$;=oylYB!K-!h~B0RRC1{|uLhJJw$q#_hc~*@X9fd6%8>eXK}B
zMH|_pWJJj-euYR9BD9bON+_iG9+e~%37Od|E0sNd{(*C@^IZ3N?$3wgXlPJrIv3=Q
zel=D<ZUi;Ga=Rr3nUIdj>GKD!Z~=i<JDC@52rnxKL(&RX@p`dW!*1qWuvY7F^vhEN
z5G%#ds^DMzeva$P_%BXCgC)Xa{X2jut01p8W)gQZ>R)*s&j}(;X$LeEcEEEMQnJv?
z9(?)7ILTCl6aF)yogeeohoJK&agQtB;F<jdT%wl)ZbnjG`Bdrw-|(ZBw{rDZV{Yur
z#B2_TW0fpW6Vd~f1RsqU{ywZs#<p55k^@RMbsg^b>w;oywqVGwQ7oxQcz`Wp>l{b7
z0*5voNPMAWuO>2s$+0Im8)R{SoavrfQP6=9N_dpZ{&}qYLEnVX*1bYPS(cG6v|-f<
z-^X?2A2zXHtINim6E2nR?)OyDhPcdJBYV;kW>La>_xLwXD3Fcwew3{Rciaz@<aVxL
zVHO5YysmP=QI(b-ii%nwQTAF~|I9jO-Z*t9%aa>gK5a%dKh^}z^8BLoxlK&4#kNK=
zfCqHHp1A&;t_l5T?O#^vFv5&jc8B~UUZ@CVYN&fh2cPvzwP(&V!A4V*f(Qpc<fZiw
z(2vp~*_-3h{Wr|uB4Q$DwnqSlioSLT{h@)Kpm6OTE>^hcF6Mn-T@bEtRnDcS(4dyl
z@~W{18|-U;^-Weq2%`FJh8T9xAjN^=E85BqU)W7f_2>&j+wTCEJEK$>i&&dGV8;o@
ziQWVrZxPV(dbsjAg9;9}#U@TnbHUze2wZq63e_hqO&RT|u+sQe?P@j;$f$=I{gxGn
z$iUQNpGB!qWgNM&Er<{9v9X^y{6qq_o3eS`!YL5GJR_s3B>+6W7H#JbN&#=Bm2r$a
z1r~>Ta&tfsV&}Y6;$)@atT6wGsvHH>V)fcMoP{7F)aPFcuPn4r^xlY^Aw$#eYTCCn
zVMtqB{;MV+5Bpnx3lFxDVQkJ*+G$7x=yKy%Vo3^MGLR`h+d&5D=`&a7EybYbTM;*Y
zR1w&A#D2K9NQPbkBh}1Waq!WSjW<nKf_yhN6(c<g*d;DqQ*n@l7+onPhEZiWI9$Hu
zd6xoa5*bze{M&%L*XD<jnF<J`n|lAZ_1>4l=5@!rrD0c^=0ZTBDkM6L$EBa8!mWg2
zj*uEzNW&kvNXQc4$_<layyH~(GuBBJbdm=<E?a@v6e7s%@(lYMOoP75f&RBnDL~Fo
z4bxgSb?`0Up`fEohn*F|uktS{!iI_h+i8CdsLnDn^O>Q8$#~q1P^J>du)T$(Ix?s!
z89XcM&;+{er@h^;m4QAqg-tS0A!&&aW#6v_tFC&dcXw@v>nCa4wQ*D!CJ*O+W!C{k
zmQC}X1r<2-;NpMmOH`1lGM-o1qYHf8H{=bt)WD!@lZ9+SgR+7hOXE-VAoN9WygeTQ
zdOr&MH+qT&Pm7_9U3v%XW7MMMt`UHT`E+WcD-9$P!Z)(A3;=s*Gb#Or2%O?K#@`WX
zus38{NL1bkctt;zw1ttN)9As6xhg7nmCT=vxNi(BCAwTjn<TIex0?7aO$CkJGiM^$
z0i@ywrP2<n1Jk^C<AW43B>M+*p<;lB6QQx50qWp&TkG~(iaOLC2n^e|%LL?7S<d$!
zRfk>u_6aMyh_Gm7eJH=)1h`sU{RBAF;T@q{sOys|Tpuh5@}Zc5PrJRNN+b#X4dhkX
zt89l;FUJ#NE||j8fgK`NABaHtk|4$uq6qi3U-~*eG=<jXNUBdK0d_ZE+Y?<V2YUtt
zL{O<IL`qm^ZPcm(7lq}tXpR(we7k5|@Wd2Yj8iW7-&BR@h8O{>-=a`>CMbzL#uPfN
zR~}Yx<!REfDBtRZAXsFjaPGA+h1th3ur{m=T-R<}2Xt}+i&M2DnZp!HZQR7C!j)hr
zM?+xMQC3)f{phC6OA|;@9%(HSQiOo*UH<W}H?e2wyFc?C*_wlITicC7dGLz9{ZOZL
z0lWU`or3cp0OsUx^s@W1kjdgx|6pzg^P1r+tGNac%+zLI!6*$elZ*U)r9&80{dA@%
z0{HvX4pv1=!ZGz1HzHEov1T6bU~hj6cC&fCyh0U+EA~EjMYL+M{o965P2DwymTiYO
zl~_e#CZ|>W@|`^FTn^`-=r2a_&0O5Tl2sVwUtbJrwz!MeNIv4<!)yfMey<}=(*!{$
z!D{W{W+8sPA%%C!&=97qx;M0i_~E+=O{!t|Dc+)M-dh`H0Gk#z=2l`n5MRL~RHdGb
z$Nu^l!-RH#P}sm+>S<2cdp6?I+|C>fO~ilC<J<vfJv}T2dD)@jZnttmb0t<!@Oqhb
zR3BO&XN-q0u|Stf4b{1_4hv$BSgR@2gI%_rr_ZV|L(s<n{hXv0j9OV>J<F;G(<yZ%
zl*|Z86Ys0y9(Q2XtMsRfuDVdfuQU;?#{kaM{x4~)eb{))k84FAb->m{P_TUa2G;g`
zf#cQgK}<~}=H9f14iwWr;)6TZFoxHjJqb@nu=a_AAFgF+gGn80jq;NfjIWyMY>?Ol
zX0W`R=*g)K($|?XM%|aO?<ps>C2mb&z18WiE)iNFcfyRt?#vQ)p2;s<MtBZuTG@Bj
z`JX0StQUwqS+R)qygO%CF!~!4Ea}YL8=wg(W;x;SOcpV}+xW`kx<6Q(TcnNfZ#tA;
z@0(g?S;QVYI@-&;{)b&0nvBW`qHpD@T-#)00n=Qt4^69H#Gd>|&YoG_`uCOumutjD
zY=Xy*&fl|)u_jJGn~9;pj;}dAVX=!?npckNgy<S}*?+?Gt|$$f^)9lU6kfs}ewfS{
z_20mlcGRUWKc<5A*Fj#TrX@_bVg0R82m=JDya{GArUG%~NAQ7{%UE9^qx{XUj1WwA
z4ZmGPfzU;!y`1$c*m;h|wjN_<peTjjDV`+5K?^&Z749|6UmJdkeP#h7=ZbQa1{o5W
zd}N$2u4CE{0=sSnv4Q2qQ~~UQ2IK~_?`Kim#JW$k@18K>fUbBK7VQRg$n#ghGQt^P
zsCc5MN1F>=j+5+aRMcTy_U&b-%Z#v49ZCwb;{gp*-;CqeNDwq)Ue5ZM3B*Dhi}-W+
zfV{cuPs%b89^|)Q3YlPr(<+HKQ*H_XVWX5?@hlM%BihKbdsv}q-tPO(89^YnZR_v<
zM}V=DTn0U@Y`}71eCVOKF!cCtyy=Q2z`#hn<l+|hbe*e-+QlXcy(e|&ZIlQgTT#od
zeS`~+xQLk#d=!IR-mic0uWFE*c|rf<F&<F8>BK1eTmnALv_}3(P=hQ1finICKCq=E
zNk6KVf*LQDd3Faipm=yNv|JDX7G^cw^%ZF#((P`AnW{n4&pTzJb%K!QYZmF|E(b0>
zrcZZ(8ZcLEIF`_b;qy$j*^f<m@T>h3Qg}=aq6?_huqqJ<=`EFvb614k&-?Q6WHs0&
zk*GxU7K7%h2-Wc+C3xOdW$<@a4Sx2g^IGakK)&L5T5#xg_|AL8(D^(8?!47}z(J6L
z9w%<~K~+_-H2q5~B@rR|8qTYMNrOfIg`CO>HMnlowoOiq1QT-i6zfA|;ax_=HriVv
zD0AJ6wlGwOHiq3-*nH&S9_w5;%1{THiWgBE4>cf)P2u2X!B)>MKGf(AB}1j3ZaBvg
z3V0SCI4QcS2!(>h6AeTvY_#Re?kc2$dcbL(Cx?~cLRc=>TRs{j<_PcF+d+f8Y3XgO
zZ??l@!nu8q2WW8bW_G0@Srd9if5)0Cslr-CUwUyS9Y)?p6yAHG1>&!s+AGDW0g3Sg
z?*c^=#!eM=uG#Cr?t>Q__(urvx9v;eN}48!sW1J0LDqvNtq%-DG6}dkF7Ub3Y67va
z_@<5Q4lru^iLM@3hay=4_0D2V_-|iA;ZB7uZbvp&_fBen@+irXdPoz3^arw53C3U{
zG<T|zPKKFxoo6Eo=m0bO%Sa*srm>G|WIvOk$k0te^c4-1j+$k<vzkDd<WF8H848>e
z>|$36rUI8yvv1!|6OiTbGmPC%ftRIge;gJy;JD?>!t^Xtkbdg+a9ckamiz+6XR?VP
z??8*C(#=5CCh5z-9x{wR$QwN*pbCLYvf**}&43heiQUFe12#Htv0w010vBNgBk4gi
z_$z62fnlFIEFE`kFiMkyYY$UmmsZT6Fu(B*ah?c08M*PPuOwiQVteECv>Djt>WjB}
z5Fp0q4Yk2h2-?$%ro5}o04Xfw|0!1miA<)+n_isoq|~dqH_!}r-I&RE_<K8?{8{$<
zr_v^-rg*AxMc51k+~13M$SFgDUy5ZO|1{<$bC2Q0R=-DTntw^#tq2T88XqF^3Ni6f
zUN;MpDR4i{WRbok4<>h9f~*#YaN7;Hxb1}|FsAWF)9*hSAm<1h{B@tl`)ibKnusPq
zY<e!mL6L%YrV+o&o-g4$HB%%zo&ua!o%fL75r_H2@Vn2{*KsFR@4BrxL)uN9pb1$K
zNNJ2T2$y6)hv~6lp(io;s@SmXa7qv)HH0*}*%;CFeH^{Z{>C8vxV50Nj~B9BW<DuI
zG9nJu&P#`{8Ns>eOUvhvbAoSoF4w^vM#MC!b@TOeLoixwT&9?_g6%}u<*sN(<hhs}
zx7cL>Y}J9@E@_M)QBrCA%a{>;bySin;Wq%kAg-VJscYD5D5KzHF9T9y7)kfvvjZZ;
z_k~FpFJP^9dQJ0w3@H7oZ0U<6eNf3f*L(ErZ%pf6@XE7|O*}3=*X(z<9?UH>D%K@U
zU?+Fk)|1pW@u_0gstOG~u>RXGKCp8DYx0mJCwpz+A<iagx1)8zv7(9cxw#cP+4$9-
zqkbL#7JK6{c}NEy)k~!a)Kp?xau4Kf_OIh3eV4KAJ9S`+XFBjG=_Ov>etB*$^E$rw
zl}sr8xi)NX^E3IR`V}|vUZ{&3S;KQ&&+ChC(*`TcqT5%bI&t~lS(~fNYdH6?_2%6K
zEpX!dylFGikN3yB&nlR#<Hv<Xzh*FL!8HP9r{(A{?*G@%sJ3byUq-8xk#J4WF-+@!
zk~5CidK{N|?!SQt%8ed(UZq2TU1ZrA(iGmGgKi3)*u)8^cr*V+&>`qMR~|WO77yUw
zh*!cGP!#b*cOnZNCO&JOeC+odpI_NzpP6Pr=Q6s2<ZjU5rzwM#u<#!|Jej+*tCA62
zVeOQ>FGB-w@^Eo_#b4a-Bc+W0F%vr8b#0UD1r=PaocqK)7H|%}M^n?K%qTkTC)Hyo
z6*^q>%{3I3@Wp=Wti%ut5~>JP4yvKR@`}wNi`iwIzjyvam<}82PAedjH@3XVbiZwW
z+bT|V=eWH01v}bsd+R_lBX8~3XEK?c>o~<Ma#+Nc6Fsc?)$%+^1ELRm{~<Ckpt%U%
zm3#$m^q+8lwZND<%$V}@-Bx8p@2`GrGL+**cBLH6H9OTI>@|~1i#roy@DeQBZNrZ^
zVuG}6UXVbuT9f5b6*Kx_HTtiuO8_lcGkSR{lVIoeGap&#tmxOTKsO)>A(Q#gmY=yq
zh{|ioU#n$9lU_s9Qdz?2J?H(sZzx3g_)mKVg>#@(hh5#T)kRUz2kk0aJpnpTI6ufg
z#)T@idShY-#ZZ2%%j1dw0t~iH%Ii7tAWv0A;!?E)@?A1p<RKA2WbpAIXDT1UN%D0U
zK1iW&!MUG}7S-S^p{n&vxBv=SHLpGLPa1{PJt0;6Py?B=m~_K>L1aJLnUrTMhn(^W
z?zZ35V4;jB?l4^#bt$0-(R1?Xh8n-C!<ZUmX0*$sz7|238bhP4Z4}YfGDE#b+X&z^
zYAO7}NeqFV2bb<gCG=rA?^IkM0es&7?V}PTP<-Xvl3Kg%sQ6tt+n+yMJ{Hz(v0Fq6
zJzc>zvX@m*-KP)F9dd|pQ0~ISTSaN~W!Liur%Ke&>AS8owO2^M_PnP2uAMB(wHx$3
z6-Go9*0qi6+3IlUlG(cyJ9*TvGOA*2qmB+p7HaL;)PRt}ON0716i~LmY7VYKMh>at
zmm(fgU{*}S`t}b+lrzPD!gPs(m}B~0#W!sAr(@T$Dp?shI6GC0cT-U<X-WRiGz|*w
zB%C;rupKoDs0sQO(9pKhFZr`OG`G0Ry*Fe=1*ytYrD-m7lvrookzAq$lTkh&qxY$y
z{mL$SB@1-ab#N_=%T@<oDl~Fx<q=TzrTdk=j+)4`N#wPHgdQBv@}J(AAfjU~10RZ$
zG?Be>33um;K7^Mgh}#RRBaEedQ2Meax}|r@gz|f9zmX4uw73SkXeF4+M$tsv2lo5x
z%@{#$=1B9uNe#sF!FA9jiH>eH*STj6VvxU6(?Bblj1J$9KBe@Sh8%g$t>AqCKU5cf
zhWC<@u+RIM=3pvnBp5f%m6^bWI$o~iX)+pV`Bh>lPDZsn-3R&4n!>zXZ|-6-85tM(
z>XiQ^B9|`X3-371py*Vdi6fDWG!}c9v%OW3kWbh^eTW&1+q!&1$25>tn#Ri`Ka>#5
z8}hm1$P7FNC!NSU)lu?%d1vN6dDOYfn_s2R4Ae|MI#?|cQK^4rU4OeII?{U)1l!F(
z+q<|tK9qpkZeXvU-4I6dM6cw6LNjnxxnUgoLlx1!TfdiU=SKSR>C$nYX0TW!quwr~
zf|eG18#GoKk&;IT$6X#X(0j&$4IffQ3&SB*TKa!*1uUoVS+*(o``by4#w((;J2NhB
zCb!{?xarvJR&Rp%ednrLdE_y_4U_3>$6|5++{PjkV82+`dtsX_x+Yv^Onf(mP4hFm
zH&9LBuy&=Wev1_PmFV+%_xNAze!~8&+grYW)AGk{`B&no*LCrE_Jd^%JFS@@qXkg@
zWWcbcQ3O@U?n_|rUc)3P=6xoC7!<uat#fso5L(HNbUrY+fpvc#kZX-L2F2K&BODg|
z2#eXjYPh_K>6srnS@pmOsv?~qx4+{;Qu%Y^-_;p_&M^1N@`E8{9`gOR`xzT@{Q1{s
zztol=OzrvTIA;L&CMB9YHkr`C!^Ga+l1(f-<uS2b*#P8++$5^qH*pf-i|B)Y8yK&s
zLdK}m4%of)ZLen3GG4>8BPm0C1LGzIxSV^a4;G*K!ud@9;(>D%i6M=3OpasM%EXKw
z#8^67m(gbNcM4aVhOO4HOU1SP&6pnOJbJkqF*S;(s(F1Uo?FEZU#Ja#o2Cmk7ZmSP
zHGbm0QZ@$^->zWEL#=!^e{|saU2Qa}@(oXXy1&0lc?Em%*=?GBNC$NKeO?YhC0@c+
ze4c5`x4fJ0lVsm&!=C7szIf~Bm|8l=jf-cNG5<)7iDp%8c*A-ycv|f<c7yli%ro0%
zOed+#T;#SE1WSHbIS}5439yX&?eSX1_Toj>uX(g!0HI7jwO%Z$>Yh$!;W8GGwz-@h
ztqIAT-;A%w4r2Se+QU;6RxlOuAfH4gO?VO>LA`rs1Y7LA$0qw}1sj`<AVglK!^%Lk
zL_yLx_N#rJnVh|fMas$K9pa$F<WyC7`mJABh4aAT(6cqnm?L;{HHilOXN8D5aWmKv
zc2lOj*>%i2IL6;?t2gJ{&K@p*Gl$tMJ+B~pZDNKL5RZOFh4{*2IVIZj*ce6cLu&#9
zyyoQDbJT<i#>VyTE#-f(Q=&F{hqwIi>vCy+WibW(-$~w;vHXXrJk+))XD|V)d3XYC
zoD8kM?5sn^7ckYTPCj}wGw7Nn>k(DRpnWb<=*5F2OyG^_codNpynWAz)t%M=|4Do`
zHfRMq-M>rgdOjPdGIK2IzgCAVRk2+yUTc_zD>^M|%K=8Ee9<5I)ZsAiKi_lzZD2W5
zUSc#=E|_Wa)vNU(fz*+2@usc}ke5<5vX{sM*sHJok6MY);Z_r;c$X1o9&5d(Iq`uu
zPj>H;84>nfv6R01n+d2iH|_`z0l-&`WlmKSfEdu-p5e*@r9oq_6DkGatjh34vl#(m
z)9Y&q3#@RFCR_1@EDXMiT3YlrHF(?1pB!Jv4zt&d{p@N*0Lz2wPl0Ms_oYBdEuIsy
zs|t9?QDV?-`CW!zK@Dz=WtiVd=7w(bn7%<b31I*JzP7$k6(&=^-z%u+g|kvc1+sxs
z;QI7tlTeW=Tno5&@4ln}{0PX54tg#Pk`F!VJW^GGp-``?&|477xW|n!NjdPmj0cq5
zR0Uh7;7FzpAs8LJ{p3xTJiPBbT;-In3I%D#;`dxdAk?{g(8yE~=B_<7^BPozFs$;F
ztDqP>x_AA7`+FtWACy~v*jNqXB6Jzp2F0N>y4<SGVLN!&@2oodUJWdKbgxaeOTw)$
zvvMc4yyj~r-&_4)0^m<`ziiHJgWIuFKc8=LfRf){+2c+`aL8|pyiS#c&k-HY%B4hb
z(`DF|8chP9C4cE~Yk43MEcPABREIZuXLfPVsDq+QEx%Es0z7!C;rua%3|WOi#@!Fd
zz?W-OI6j~Vw#!${taPa$VdpY@;2;%%I(p@gsWPm~(}S-o(x5GFWb*7K8j#%wY%8B_
z2Os?^xA1iu>^1VNx!p+z4jJ*2M`ct&U@#z@5vRj}gNN&cowa~#wa4n}H8rsJbgUS*
z*94Kk*}Y^D9Y_I(_4GLcEZvLDFlf|-(W74;-JQ{e>)~g=gqV@QcS$)^W{Z!bFu6j`
z34Q4H`uln<L>;!VJxR>?s|jHoJ|6W;20--nbkK~`05`#$M}1kEkl&(Jzrb${{6xX)
z+#X~o+jFKP;13<Vx_S1m@&Wwazck6uMuGFn_Q}{P4I;Dd_5p_p&`r%wnL1H`$G|Cm
zR|OTg*LF4}O`5=*sqC-6XDCqiX1pQDn+!fbvLr&DnL<U=H^)mP3QTo)_*~u~!n?m?
zBNS^h(6z3SczK%)pAA&5M%$`F=x)Y&i??QQx_U`vtzwI3dH->X-%tW-?<XoJlR128
zwc!v=+462B!-+f3<UoJw{?%w{a|rpElO0MW!CzOA)QofqICpGYry9RG+=(LfrrjX`
zty|$`ynqlGVg(<RewqQ()gg`_L#p6=y=Rs^gahRLU$z${n?Z%;-pnsTDiGZA{!;tf
zHO$Q-^n@AJ3}!tYmriRdgX!^Bm!30Ym<~herb4wTXlR6<4>+s{c6UAat-sXZ>w&je
z8%<2%y)ji(WXn%ODvc?SJ&9}ho%Zj<O~4J=Ud}lq1LGnR#3Q}`@MGC4Z6gLIaCTzu
zNC%q~h{YVKchq0Q8%7->?p6To3@?x6`X&b1Eo8TECm9eaI+e3W7r@^r***QcFbtpF
z#}quoh(!0Kl;@qp;Jw#ihP|L5M4_HO>Q^Q-9IkEYbj28o={8Zvg?QopGG;Vl!HjZ<
zgojt|7=gxhpO0bZIl$48))?!~jL2z2#iVLOFz05|;@`~zv0kz)#+J-z{0`><$q55k
zI^Hm57|#Gfd~W;jt-fXGlf3;?+5rC3Qyd#Vwt`L5m_}OfGoip)iG{_ZJ7DgYMSk7k
zznIW6qe-6@6H<-`gYS3rp_Nlx`{=)EEdS)je=hZmsGkrWG%=<JhBB|F=DdfoleyQP
zUU6qc-|kymmFerjv0I^aiftX3D8CGMC_f`&TwkYuyr~Pp8x#_kV-1!O=+QCNz<?5-
zEtHhZ>Ofhq_lM%srMPBx^@juZ7|?myDs`nTUVT@{(EgaQ1)r)t*G!FLK!WF%#Twse
z!#umuPKT9l+<80sh)W^^;w+bHK10xkohB@wsH=nc;h5{cOo|v#<hg$ityx;|>D%J;
zy_;ir)14-pA5#oS+Qb}d5z>N%=<qXV+J50DG<yfuEg4b9qJoEcq9*wB-hTJ9a~3aA
zzFBa-h7sLS4D}S`(}Y#^CCei}e&ak3om4oFGocce%fm{^bolXa=a|H+Ke$NtiTg=H
z%&4>D6vbDH4j-d;XMc?UhqIHHS$U?I5&O3|;>05wOsB$tuhSy#{`Jw<r(-PW%H}_(
zR9zZ;{>&y@YPgIuCE}qiY;5TGle#148>zti-}koO?W=fG*?%&m-R$USh=askcPbQ*
z4puBGtm8+ft@h`YaUl0#vwyP8RM>k+tFc>W6W<{>_%LKQ7b=Q+E2(Qu0m1lU_3f`1
z(1dJ9HHC)<HTnt2gr<{W-to5SdOssNbeP0&f0Y;Ae|0}8a7F{{z?j~qz>H3a1nv#y
z6F@JX*K-!yXuz>BxuUdC76j*;JL>fXk?o&~D~)f|;iiV$9>W<{)VkY0<WZCmYB^<+
zmaC}_5_N0|?U&e5dA3|4@3=5x?RpwSsvrSV;FGI2=$z=ec5#xFpD5C`M`KCWB)D#2
zGg`>WjXeG9FRV(4qmx{!B!ej;9N@o@d4q!&9WmgE86J~Be^yf8f4@hB&EQkZFX;Rz
z@rqBtX0H@-&8*cq<VJ)U{V<g;wE}4Be$P9*b!lW-U=YTQ5yAIqDf3xwAv9d;-SEs(
z4)t8z)%1i$gx6M4WgI@jXx#bcd!3*1=zjnJ0RR6Cmv=nXZxqLk?2*0qb_e%fdw!2g
z$c_|=C`EqJK!XY;GNaIvCRrt-GIF1aGE4SONOtxfKYu;1*Yn5cbzZOMIq!4cdF>C~
ztuY)#@;GIij|m|80t-WRvK+eLRk|7d9}ZH5Z_1!ZAynt@Sy6gl9`#u%Uq4%h1Ge-^
z#a2uN{SfV~H55@qbOKkn(n)x*`N^)DEG~w!p4_ZFoTr3rOG5KSTkufz!ZPHxhy+T!
zN#w6`P(k0QF9rNx65xs8c4nKl6k2$BXJ}{_4t;g~MhbXKgk0Z(`(N~BP*=YTdi@!X
zKD)BVi*Kp{-;8O%v6Hf>e1m&y-*qC|>)#ilx`zbQPaQRjGUZVB`m0+DM(W5?(ot5M
zM26t=*)!Ht@~HfKBg>aS5<2Ho=iX^Tf#%9%^nHekh<!TO>VO^@J(nx^b1+l`Y%UJ!
zGbAaYZGM@?*}r6DHrEqY+N%lvy|wC;-^vJ|t|C5jo`Oz(j<>h>)&@z#TlVi%RZ)B<
zYmHJL1+`b83@dJ3ke3TTQSOC90Vi;;&+}@ag9-~bJzMo40B7GE9*#$1!ORQ^92$s$
zf;R5HGJySh@jvq}6OfSab=BG`3JNC%+;vSfg2ZcYsmO+i=q6l+)$}Onk#(eXyDtVM
z%iC+Ee~IW0Oa5IwUouj4u0QxU4d9h#ig(!_HMIK$r%|vo32AUIYjmA3fq{bJ<#(QH
zNL)9-g~Y3dICdMlZAehT7%%#OM@tPQ+f0U2#qj9V=g=JNEfu;X05U+$zlpmxJ`s_y
z4=%oAP#L`u3clc~XbSxQ)Mm2Th^S9Z{Y+)70+LPaJE(Zp6po#_q$k5mK;p8*fMK#M
zYX8YzU6y7F!aGmd_X~$6uQSlIPKcv>yLGD!?wP_qub{_TVXA0hlvdE&BZwvg^3cgk
zrr@jJGy7;&8Red@BcD9PgW5PO*+el@_;pxh@4TxLnh`Fm+E`;oK|Lk(8PilKT(F97
z%2hx-Rb19dMw_&Kt~@PP2~_B9?sR2Yl0)s2O;1;@Ow(Q%XRUF_P+>3Ym%Csli%x0(
zt=9VVop$-GR<}x?2_OPrK&+lL>euda%KzAk`5HZ5RHT@|AJvZZR(1)blva8wT7MMd
zNGsm;`8~kL!$)>em_$(;=5y(g;Vd@(u<J0BF@TK^_gIUX5ULdrDRJ*uz*g|D+~3Dz
zfG-Qux*x}n8orb@H)$?o<~@Qw$DSL*qdjBpzLLC1KesQtIAsO<B-Z*?;gb;vOdK>6
zs^vnrAD`6rRA0qb9+ke17%_yH)1OXrAU2fXk=IVqTE)^%bJV8u8^Xc#!peGaW;9k7
zA=>_Z1#8>g{r!NY0hEV$|K{#sKrXE2jct-ESk_tr%{NjXgf1&b>ve3?XjjUjy^WT!
z-A(E~=fCazPpJ+O*UU9qSwVym$#e-5TQ`&z=hXw;AHP*k_9dDbbKg5nSj4{BmI%*z
z>h9z)7s;;7(o!DwN=29~VA6hlP7mMdK+yNQySzS4()t#aStcCjF`NB~2P%1WK*635
zZ|^@sW9j{rk{>*WwOHw69Oty*>8?)Y7u^Fi-`vAbr;2B>xIOKo`W;$e6}|hD^iT)w
z^^wtbUA|dN?DG6MZWAq#j5>a2<n(viOv~lK{#!E`UA5vBy8=znanql*CsfiFJc<g;
z)n_odD?w&;vYMcKcHfrcSQL$9dN}95!GGA>^?G#Ro(8nW(5jSDOR(1e*6CUE|6yyd
zhg%x?G{7T${Z~zMHTD7g7gNgrVavHsZ*wJ6z>d(w_~!QytbFRE=}p!dj2wSHf0>U0
zC0e{kno?S^2KimV*nt`B`I^}5nR{e#G7U%&o$SQS9N0f`ew)D>0$ArgWyw%As^#g!
z(T8z&)MNT?v)Ccs3sr@$NZ^0|jL-LL16X|%CB=?^4$GjPZm>5Z!TkxXZr1aI*zuW@
zrlK=**aS*C=JZ4z8gkr3|MMBf7Q*T_E9T}g#l*#8&jvNHIO(2w$zud_pE`E&gTx|6
zw>N3y)fN$`oubD3kB(xIt{>c{PcLCM+zj`Xbcm3ByHU60(l{oY_PjWMdKn8gAF?VB
zCP1Am^V#QllURL>6IT3i70Vxa@$+aI9wd^fOP*WP*a-u*pIFE`Ry#lWPK*f;0h+uH
zE)_GF)tNd0&csbj;%bH6s51^G?!>$0^UPr!CF7+>dbY8KjJFG2`KmBwPIo3hY#vk7
z{v{BrK@VAbS&~`VRbf{8R~a4GB4);@=3)Pk0kB2tx%>Vq;Fw#af1_dvGsDy4xm0#R
zpHE#J>QDwb5}CvK_6o+V_wJ!e9~00K_7c8WD#LiHO?=z!HSC9)fb+3R7GMzRp{^q(
zkUM(B<J0F2Y`@MAhJhb!klgvfwg;4ewSZn)LwOt9TRy0)B*Y08>DPGYYZM_U$Mjdn
zARWlZUi_et#tkCE9}E{=72z;mTu8)`0qU%O9J`;(1BRd{UAdqD&7ZHVr3^Dd@NtWr
zC;}fmR<U^M_CNvNxMs`NKVpJ6#G%upE&L!`7XMPnMgg9_;?oa}U;&BF>lsVW1>w{3
zAD*im3g8zhosxTp4USlJ-(r0t3=!{#f&#nc;p?Gt{L@YjxaPCzd81ww&J+by=#|UE
zeKlX5;r-ljROH8SgQ^77e^pAk@kSn~?$xWQQ9ST4!gx%mQVOPxi1D{R%7gu<sc=<B
zJ_x(wzWS_M1}-MFol_o>2R$0+vy5l_aMU)0zHP4@O#OMyS)--^5_8rKu0DbwB_3XR
za8e$~e!&Gf=?XAGH<EkLNf>YvJahW56v5hj+vlg&&Ur@VpZ!Tu2+OgT%ZyV7P0@ZO
zQF<kCa9xw#$`J>`<Bs|88>)b}Vwu1*D?{y8j{jL9DY$GR#UOSU4+hq(?5Ay2Ab#|Z
z1$IydiU<k`xn)FP#X56;{89xb&yZ=S53+E`)G)vQuR2igSwA}Y6%UbjUmxlw$b)4-
z&WSuWGW@lij$LO{1D%ORS*aogIQ)1+RZ^G&4abFIxm`(cI76C8&`b$<?yb$Q?)3kp
z=URsFAQ>Ez0&EoeltH8^Tvl>U0~j}(HFiDKfEeXCyV+n>Sf$?h`0b@8^yjDRX{TsG
z`r_7@)lMJyD5=zul(fLtBt@xWhll(1uBhsT6CiDQX)*YS7G%ymd-HT#51cZe37U2j
z;n<_c<Y{v)aQMcM9phyP-Mt&QB_?%fx^n!*w`NU9ntBjlU1tn;MvLZ)7S%yO`OH}P
zrUv*F_-J$90noJeIeW;C1Wm_8zul~%fYQSeJBimOAk5vKA$gGmO3ZIxH|mqYy(Ob!
zJ(mhn7H%8+gGgZ2MC@L!R)f*2AKE>`Ou;p)yH(eO1S7sq27b9X5YYeN8!m4KM-;^C
zlPlGM{$)``fTI$4G@n<UzHJ7^zN**mKU0GSkzA9&f3iSqp1ii+U<S(}V_gcmJ6uU+
zU}Qcb4npOrv)5bApfN;sdpZseZZ4<y_nqYjx0olb1_fp?IL<Ghxx)kV&Kq|kGgv{b
z!==8++YGkJQKbAFWhk*KzYu$L1zT1O%Qo9Ig)}d<^GvrDfyY9$b+1!BCaib+IzGY_
z3~k@gp9z!)J{pDddB_BfohSI&&t)pyfoqpqTxCHnacbg#%Q`KNZHsiuhYDl-#fSbp
zl7e{V1eQ<349M`sllAsi6W|<v`K!2C41$90P=Y=&BZGPdzbB?9z;fB3eU(8N>@`fh
z+b^@BXySW%jduXE`hwq^Z}9`$+{O5II}TJJb;yQO4M0Q%yQX-A2eh&_cuoB{(W<8Y
z=J-JjLihZv@EvA{VdC?dlyy!dHY@$o-_sZ__A-gNCozG>^4swzDqN^0nHm`xYy>=w
zy&>Ko>43RQEU}x13*l1JF65*cf~&D>+(OL?M*rD@X{?bG4d)1h<QD_*R&NPWS)0Ll
zwA-Y;f;iEsvG5qSHGSBS%k3Lk8p0}XJ)4Ub;6#OLK{j{w_2IzHlXlO)HDdRAla08_
zIgkna;Q5W~deBO3Kg}v!Nwa>Q*j0R%12LC0cwcYR1qo&s2hEHg+GSpj2NM_v>Rk~e
zCaUSerejd2K-UPZ{6vkU1)c-xykWPzo2Ubv!86(Wnf}q}VsIt1Ivl9t<D(qXqBgYE
z@zBW{%+q$CaI@WYk^>QNIDUqs+7MVEBg~MsMB_R;ce@F3ARkEu>2IxCpi0MRXV|<-
zyT-NWqNE8YiVyL3wYAj(QhICk<Hilzeu+!cE)$&Sg3RsIbM>0Q?{-*e^2Iid^p<Y2
z3~?dPeXkzL+iQY`@5JUTnI0uvd2V#-GdDW@)ZE;yQv;60i5C{eGN7`z3PNeKyHVza
zig8&V4e-p9(W&^&h#nkgZ!dqzgM6YG_a&@TfXz{rqtbv0UF00={1Cv4o@5x#qErgJ
zJMh$2@DVd&=(7D6WygoYDtptXwJ1O<>b37<V?}G#>n!w^{HR7<B;sH%8Twc9C0B2-
zA?`)PWZ}aCXndbbxNQs>)M(Dd5`r9PY4SmFW1Jwm%7^u98j&I4<Iug<GEU@XvZ|}u
zDTF@t=IBPPkl-~>@#VM>ZdCazy~>L!g81Xws+-D5!0M`2{}s=J_>S3#`PPdf2c7rz
z711Q1DOW#_#POo%_qo6C2@*#_Uoc~CcM@>iQnh9_;6qj;{!J}LlBit!kMB!E5-=%w
z2h%+Gk#iP<;A<6WG$r*WBu<$GUEcMY9CroKwMUw!aSvorgw27n0Vxt_2Ac>e{1HTP
zpF_%g3uRI3;h#Kn@+6>Jzd#kW5=LM78joD*ltWwpzJ#jl?&Q-BXriwo==L@-ZH!w1
zT~)4cBka`UIrcH_nVT3A-ormiby7s!F8}Fgr0m>pm{0s=l|W`chd2YDE1@YB6`6el
zB<L(Ppy_{?L=Nr#0x28HXe&BPOqNOp=`li3POda6akg}-KctF&=opCpE#KM4zO7$3
z`7VRhE8dnUmf}!?)a_X>dkP#iWIlbbNfvQuc$~Vl<2Q@8>O|o!3Mlgt@}s-u&<J1q
zamT|%H1_v$D85z$q^3GpUyRA4?+^InXOeb2OUiGaQm6@^GClh`*A!5WPRi1eOm##&
zt&+G_q6O}s^Zs*ZS3+wwsa>uXB&7DMi_WfH8^%j^brkU{Ba|}WTk?d2)*5#KZMQCX
z1v%kg^Qxd9w?5z)x=2Vc=Do=U4?UQSu>G36rGnC?4n_}*lThJ_<m;jz^}+6!a-MFh
zDl)=W_^W@C(5(_&X_bN@TvQe-+#ioawjw4eL9rxssyStseu5EnCZ_XO%HUCHtgB22
zKM8R@Xp1LJ83R9`#psVXJc?GG&1dgXL+0`j=_d)`+}+b(TZ2cb<IS9gIz)6h`@OC9
z4iB3YNqAx_9&x<;$ZTYeNAsb$`A9<(P$Tj<v*qIv&+mb^JwmFe<<69QM!pGz)D~V*
zbHF1VbqU{%G9|S1=4jAQMk+XYTHiDJj6>5?t4hY^3TUF>EdMj00(Tf|?j0r^B6Q2(
zFEq%aSIaEY?MJDwa#Z9DpR_94;GKULj-=3%VymLpe^e-aq<FtkKn1;?WeJav7eh&p
z$LBQ;Q(^VUOV*cDO6YYW?soBxhsti#=dbEeq3@Aw!=E>bDBk0SS<E^w>g-o~+el9Z
zOA)r%=Hm)T;91fwLkTVv{@HABp~3`i=37*G@yjFAFXNw@)mczR;4pf6$^`cQKEXdr
zlSN(8TP~^U49ISwn5Tx{1dNYeG#5Q9gH#Ad+^l6cXfwW<&*(}3#uLBTs2-F;VM%9Y
zH6s^k#z&f`LmdICXCklrkBFm2V@grJ#|-V4`@a#oUJM+LSUL@-ilQ?;-$<OSW3>8g
z%Zfo>4A{9JM>m}mMmhMR7N^7^n(G6t6UCOs!1~5jecM|QagUa}!~8E=OuYG})d(Y~
ztvJQCev==WCwfh_&G*m*YDE$%D-A(p*;Itu&Won!CW^ZfyJ@Nt`DJgn4S>$+Y4Rl-
z9^~a!BT{4DLwmKLR%W`#0AAG8bsDyDAqw#^o5!0zn$i8U0xxgrLs&}NJ}(ar#Nh8A
zJ^x{V<{DBMFyF5SDS^X$MI<&9Qh%ChOJ<0+f8dm@vW6b?v;Jb?vt&W4S>gxQ=Kj#M
zlqs#0cwO+e`Ft4ngbBIeDAtl9W3<c9;`q15bRaI9jhw2v3x#=wN!o`^()NE4KkaX$
z10KUi&9><nk;|L)OC;_Yn#OtWRPVRiaKW~&$%LK(H9G8S$eEv|x#k1})JSPV(UNRc
z@XlN)+eg;#nwqC|<P#jj6SaVDG9rXNkq*6k@@<WNW0AIpo1^+XgBBS6A<;kMr$hW9
zBGE6UR%kBHabx#GG~t}Wz5BnfZqwNJy!AeGaE;btXHeU-qyZMe0`85H+q6MxdwgQ{
z1}!0}FoAMG0|q~;_?K>P(FmzWdoBoW)AnldmEYT$FF)l%al*3Ow1$AJ>eVJXBtoBb
zkt>n{TWmZd{9)TPWtS^Dx~dGwa%Jsb3J(RCRRv}0IOxy^K}*@$R7Uh@$+=$lDH$GD
z|2%Owhz^Bb>buh;%7h};?Auwj$<XwjY;b3l4xKOUxH0;k8Ku4!trh=40<xOJ>7obp
zC@1Yy2L!UBvM_aO(kT*{;oPJ3T^JB<#GYbi&yIfFQ(a8pCc%5QRb3i|5m}Ypvc750
ziC9lQ!zKEu!?T!Q0y6kr$ibeIvGW2qa{92$yzog4?wG{eL{XX0Yk`(OA}4szmxa>A
z5qUM(TDf=OXb3ZMJ$Ucn(QICHb$y^zI++MnCbmSsRu<&bE|avliy!SD*ZCO6PJ}xP
zo?5AnZ0Oq=2M6A(0?0P$l`?-a0cu7sY>6(jqqd^08{2|Hh;q}eRaA)p^OTD-zEzwE
zHJY(;{t!l%QooD2>+xVWn9Hy9ksApl4<ug56Ga;L4Nkp@z=O>#Uoy`*9yGr>`tkTH
zar9RN_mJHN4^>VTYjPR9D2Dx!e094d8nCr|5k|m+OkNP3)i58je9={XS3m|meJ&Q(
ztcVAzknIXOa{=Vs9~wL0D2svxTNcy}@Q``*S8!pKAo|X1B6TiH4oUbj+G?NK@rO<G
z*=JtDXiNXzE!N!%sK&6Ieys)%=EEhtza>SHmgPS^TAU(!)9Mh#WJQ4C?#ln9*Thgs
zt@7L7V#?^{%+j@eD+CaOs@0Sw3FJN@e5j;U1v&V9R-tqeAu4anyopa5rTAHu8+zkV
zfjoDF)|?u!9~+wdlqG{48?l6C0Rl?>{AugF0tp-_%Y}-~vWTN(lk%d9h>rg^s^U0H
z0y*o1w<T=ysGu|9CcB?HDvT%dF8wBhNbiu{H!B4c7OfmRb(w?$t44h|S191wJ#70W
zSrHwIV!Q34K}K>9Yg6`W?(Ad6JwG_Ql~98tSLBN(GD<9Lv*Jk8f_Eh+gr+1_&|kw9
z@vAlzRB}>{JSV0D_!!;P#|KnVL~;n--V6$&g3rpeN?lmUKEQSKG7f1>TDg>bq#)tL
zXH5n!=|ez`Ole^h9^F^JzH#L_1tHgKPDQ4M&@7ZM{o)h>34ZxQ04oYQOqwd#$72i|
z)9T;76p2Xcv8I4y0U3R*_2o8e#$a?{K(9QTh{msFG6uDfP;6;_QuIfF!rkA!>;4gu
z<9*&Jzw_!ywYADi^{NScOngdCTqGjJ{OCiSeFT*Lh5tyT0u=@yvBaKyPei(=k@d$H
zR1wTlpC8Vn!uW4{sdHLHRC?j{>Yp|x#1Q3uT4%Q@WRbp2ho2)LZXHsx#S?jSoOW<5
z!_E}m?V9>d7lcRh2O7@(J|lzDZ~0X!_?ZHWdLr(c2@Y-P8Cx<`i6M>DcbQ7wrcges
z_fTP21&P@Eh7kD#k(ryEf;X5#-ufKx<Z)%RBu8GYY~PKz&S&ahW;BI*$H`pbpNa_g
zGclB-ni)-bg`Ds!qC)aHwPW$>3do{&-DS__Ce1IB{-L1bj#m;MCmo5ELzN>7XN~A)
zX(NB_)i*{=An_`%bkvv(Ixkr@HCx$5o8`41+zv7UbK}4u`<GIvGb|){BCiq)xw6V(
zzYP%e%7arbT^t3xSeQBSbO1ZhlzGqlCV-23#=p=~5yZFZ+26T)9J?2HZoe=e0Jon<
z-`Fl8#LY_0h;*L8Dn^4Xj~QTa_~OF*jtG9lQ96DpI%E!;ZrFca#Kjma{_<=Nk$Dk!
z@1tvDh4a|vBF{~SP$M`^dvM1W$Bi7VqC8{O7qFxGq~!QaLpZA#-W%)8j-Jv^%q>VS
zU<`B|q4VtqaGm--#^*OPGUc|mdXznnm1Dl9XLcLFm8cNcg&IawyqmAcZ*&g(ZcW%-
zYo`zE9rP#cnCX$5r`Z0JE3=r|<hh1|6g~JD8#pDWv`Krwb0<1>as~_3h<nvIpbIag
zm<kPkuFzOyg4Mre|HI}=R`cs9y1@CuGx!nRB26&LJL~g>DNJwA3kAnm9rzfb?r;8b
zmZoz3fLr^)3G9_)mZRWbZTKqV5PIh96b-M=eD1IF7)G^valXM)8$`~p>rov?X<z7k
z4JSkXVxE*b7M%hu;0}pcnCKp&jb_-R&kcVtQ$=P^aWO5(tC|&Ioc=}Q<b9C&$8H!)
zaQZ1>9-|388SWfu%3ZYVp20N+#v#mI@vvvih6V^F4_ie*3r(O#<MhR`-xw2($XyYr
z0Y`!>nddbcXi<T3NgwEcW8RM?`AerMu<n!2c%SrzRy*kEn{G9Lea@Oi9{v=VJX89t
zF!mjdG)}L)_r@>m!`d7q{v(4j;iCRa;iohyh5O>JP5sz!`*KNqFd018S(Ka{Z(;t_
z$m5EE{aCF)<)GLW3666Hf6g~}jk)FH<zM^tW7X!`Kg?oD&}%(SF|jShh=j94$BX;1
z6v?jp$)Y4U%2YKi<njsYO!6^uw)=&-)`i|^Kd25i`FE#q71dba>#wa3#0N0FTZaZO
zT~mX57vrr-W3|{RP1{-O`vEL!yyo4XA|jwErt|~zjo7iwfNq<R-&oR(^ZpB?1aMN_
z%(}kRgaz1T`Z^sS#I9{@xL;EsfS<O}m5ljjOeB1I)#uU>c9P>zjsI~xU_*hr<14M0
z(6n=@@P}dSn4f-cS{@E&m`d0txjL`|#y7am%8y_cd%x8GT2h6L>P_Jxy)KM^ok?J;
z{EOjS<i`mXs-SY}M$Fjt9*oUBs%}@@80H<*(C(eC0<rsb8u{n@u;Ls)4T;1F%uT=L
z-I*n2IHSb4$HHO&Qz3>~X4g+)t0O5_4V{%i##5%T@AYpiJa8k&Sz!iKa1OJ3|3L{P
zVuTHqHHWa(=3AoyH)gTxhn|kK$SA>qrgxZT&oJhle0RSG=RD@J^+YQsK@of{#|sZ-
zk6?nQbKf>pEMR7XKUrJ06hO(KP}1zlC`M51#@Zh&Vd`90hl_#~053r<+xRw)ZM>BH
zC6Kp*^+xUHBL9;IvGO`5M#U+Neo!PRZ*C1cnNnKs9v}~86IYd8KK{d^=bo86Uf9HR
zvs2d{=j32*h&jE+dKQ~-5H&24rh^ad3)5Pma&UL0>}ycp946h=qPd(+5BYUlG(9#s
z$UeBqnRj;qi#dDstcM#TTv~lC|14b=?qSBW4Of@2qigF2wGEiSsc5|WtClRJ^`ut5
zy1Rnu>iv;4vSoowZ7qYsZ8D&{{_6dsziU{)K2PK9G&U$`%Zif=l>wLC?uo%co7k!N
zJEC|=PKYAgzPPI*1MUqIvkr1}fPPxBZ;Wum-%#^`%nE7XjPlUATR;!e)fYnl+vEWY
z*_ReI`qEJKAwg{PI3u`^zop+Q;DgI=vRyU4OF>_{_pS?jnLwW{bdSI-0azs+6BZAV
z0{Sa4yIVY1U?Qk(_DhBkOneFBKS`B>@W<t;e{<QOX6UW8&5#H<mWK%s;HAJI$<cR}
z!U<Ye|8&rKi9=C#uE!ojDHtvcHhR3l4Z0p*$*K}k;L)@@@YYU#L1^cjE@ocX`|!K&
z$#@y)4z(hP{gVPHm*SUt#|IALU%s0Y<=`W;fN%eEX;>n_U-_N-nzUFu+2`b8ChLZ?
zv!e{`@o`x0Nf81W#pb~OdK6)FtG_RATLva?U@zBeMZm%J%U+c+WoUiZ|8(WIED-!8
zt?EePP`XxnI#Uz}2Rtb1#~9?n<It6NeRYyBTI)6Mf06)GkIU>;{!@Uf@jtG5*~ma|
z|DW%Vn$<wMwzKt=vJ$ilg&wVGkOgWGd!l$235FKQ76Vij(6+mxN<J<R_^e$w-wl%?
zY^_I2vK9v$3i^fpe2TCz+?RD(LIW<#5jWme5h1u}bTH_r66}9}3)xXMVWaV?#ApTy
z#w#jPUp!EO&Hj!<5tdru5Gb;ymrj9scLATF<2d+w^Uu7P^bW77L#GH`no!YiRSGHu
zX#2W1>3Xp?Jmb8yvfn`m!qZ51{ac9;nGwVNc}W{6#eQ~cOM1|;_d^f2n>x&t9x$?R
z(}o;e_33~LL--#60RR6CmuEQEZ5YPwP4?cK$9RUl{?}tCN=BlEw?R@WBc)K3S%id!
zB($Rx!gG;OlvNak770mYkJs1xxR3k8bzkTCJI|?9?a-&5WVlm)N5ap>2+o^Sbjc+V
zAUphK!KRlCo;Qn_cbXYOa^MNIP0Dl#e!DB1PNP8A4f~~;=QMa`@^$ybUTcVIMt21t
z3Jm_bY~k8Pfkz8Uu^MqUP+S*lAL2xTb<EKPhqd&9XQ&OWf^DHbEc!q!3k9BO3Adj$
z)&`B!HwgnNJFwfJE?01d47;8eF!%-4z?mcINADRs2)9iQkSf%NC#mPgKYv#Mi4X-n
z)dzMk_EqJ_&`(_`lpXIK(iI1SreT|Q)ea8i9|_4AB0;;xAB%Ihc%YxoQ$FKk2MRXX
zIeibcz}oNl1QTtB$QBlhW}37GMYrL$M_wABXy96Jd%m6Vc~9+@hx={ep8Msz&l9R3
zxaDBzi?Vq}_?7w|gH9U=;Ft~(NKl4j4W09gzU&yVHQdFRYy)`_Mm@H=ilBe4GFamW
zFMbc4t&d5zhS1b^HJiF*z_s}mSDKd~X1nCSWg4NwdZw7|Mu`%T;giSoh+P=1N_^W`
zoavBzlYM~mtO&G_;`=TuiJ<>FUHOww0cIk$7iV8v2V1I(&mL(N!5hcznD=M_Nb=t2
zQhLh;1I(V)Y$~Goibv6WW<3EO8eamp<*<N?LZWxPr6^M3Ut5W}S;1U5-~P6L^F$bj
zvU-=kD5{ROM$-0MLXf=Z#dUWkh~%FI{Uh9>7~_?ASSsBD!dYJD^Zw~2gf1Ac1b+}g
z%2fRJ6EDr7Jx8(nZS7MAO<Uc@;Fbu=->}*v!C?+ptZS-u!@e*|KAqrv8zF+t!(EO|
zo6SJ`^I18;wBL;6sO@+EdWxX=#aW}oVpGt2M|cjA{xO`osjEXaBA9md*xYFjQ`k9W
zF0vf8z$pCSe*Uek2)-}Bo5g(41pd41xM$LJl`%UzZam>5g3pfl@JD<$hFs&1J9+w<
z(KhPB((pMEjJ{{99pPaNrSDnj#XnimtEk}1r?t7&20T!G(rE-=IX`&tcCcel_3ZT=
zZBcx9z4_Rpml60@rr26t=fo|su37hPh~mke`6SwRLpV!>&gA-Vqm*bL`2<xA6GGT>
zydn(Y+&o|9M{Ztx!b0wL{VaxI`h)F}LWaP6vaw6%F(2N)rMeVQAddFR4yS6%3_!jq
zHg<NK0E&J5EBh~20;6VSH|*GE0Pz~D4RvgSSYGY*O+HEz)jI|r<ntQ9lwtD-c~B57
zhVJ%pq)TCfzoO{S3mP<T^C9o97eZkJ$#w=x<Bg4pme=BFFr=BSV0&K}{kb~(?0IF;
zL6X$&vXKTi**KOH3PjLjuQuseh#Yp<gnds{qQRb}LmAI+ilY5Xw~b7H<niHFzev7S
zDqK}J^E4<E!w}KPl|oxZ<ota0YRWJbN}P=DNVbWi*ZyB(Pvn&F+W3UTP#+bB<ax}u
zEK1<1NOpr$EXsICxOgMmXDawA$O&CBmcrc~Zq0mumGR<etjzaODzMk81Z|F!M(G#h
zH-$!3(6Bg}lEzH~%ML@Mq%Sf^^^)5EepD67xeg^V#xw{CDlnMeD2KO|?6<1@Rl}K(
zeI~hKG{{WwXC7>k$9D%JcF-5q5l5XLi#5_9o6LLX6iE@gEx!-7uxet?*r;QSmH|)$
zq$Dk86>;K(okI<$7Cs8-a=w{w06aYfv7=2&NIqPxwu40*&wj}E=g~2Qw0vQ~@jPWr
za7yX7{jH7TQ`g-_TMVJkptKqetKinUCh>zWNw`1V#ep}*2nt=T=c4RXQ6m4<8`oGJ
zOx+gJQ{Z3>O#4hD+QigQ^Pv7q5gA=%UhZSFQ8IzQue&o@2GmeBZE>MJSr^CJHz?Hd
zn1WE(;YW#A)iJP7mGgJ2E<W4wNkfv^4DvTWxRK?efhFa-N8>-}BD}bB|1^_1oHKs%
zo-(R|RWFF<-rKt9yfy9jJ~j(Ty(jWM@Q5aszspN%v(!b(l?IsvPD^Oz|MWF%Koj?d
zh3$0C(81bira>(>D=6x)Fdoy>!ZgQa=Cr#ce0jdOZu_(q7}J}~rgmr{iDnwQB}p5%
zFl2excdqdwx@$|wel6UlN@sa%sD)4R1bJ+n0d9YhEYfq=!Z?SkKRusnU_V**o6!w`
zH*GOS^AcKkeom#ATU;IK3TN6WLjW%>n%urssfiv8+Icl!ReY>j;>9XW2gg6eeSR}d
z6#UioWOKeU){nP(sanvXeI%k~Hcta5(>=cY{-TH_l}wwStoi4`#L^#=U)AyQ_ql=Z
zJLR!yZX_~r?cAx+%~?rA9Vcd+J6@~E;MK|FPs7*V*`qJ2%}-IoWUCZ$c_m4FD4L@Z
zBu|IqR<3FRbXDy4{i&7bCx%x1hR@ec18lhAkowtC1&`!r@zTbG@m?zHeR~E#&*6&!
zKQ<`i^s8H@TN(s0t99OSA{Jm@@}E;THY(xk>m~C2@AxrhgNbarCBT*w%~lN_idb>y
zwbob#4}Oc>lCW-sfa(8C3t3*sqbA$)Noid!w5`e2=h{So$inGC{s~#Ey3>)Pt-*o6
zSWI^>KeU3rw~H%F6dCL%<d=8kv0)BdkM$zI6<8G>d8Kwi3ge9(r#(-yVxdaL*!?x1
z*PWQae_WCnc)oJH23c^z{Itx0CJPYDxx2)BLmWxWTD>jaEV%LYoV$&h1w4|;yYIPG
z3{8zb9=~kKf-1II9&GXE(B#9vfwabtQ^!>=Zt-WqVMn{Zjl*V8`ci4)fSL$W&n3S+
z#9+a5a^H-uIIrz(dU^j9Ghq~Nb<Rq4Va4je#C?wCrVy|ma%Y2u(B|Umas~$*UMuBq
z$Wbzd)uT6*6Ke(0GQY>~;tw{g3O#Dklx_l@SGBzek|4Ifp!hx*Vn?&G=Kq%2O~5A7
zY4-1)bvUyBoi8sZCr*v^9`!$E4CB@2O4_#t@Yu}9?nky<c;t@qDXB#x&=$II_>Y_b
zn$$L454pyTJYtjcwoyjF@qFkLt)3r~n=Ai&E5eI+@BP=y#bN|US}0cpGx^cEpe*8N
zAs_xd?%<k|VhB}avBSOT{Mcl7Da_wZ0LwWVJQrmQ!M8+FRHcd^H{WHiD-jUH^H1N)
zBs?+z{giViwY&mIQDbAzVim$SH=_?6a58|)MLp3k;swyZ;_Aj8E@8}=(iI#Xp~1<V
zJ-5zltV7Z<@u!CrM37wj4K`n(!8Y|6vD!cDkmtju(NM=VzTb7B&Y96*9yGWvhX|s6
zDD@$4ycqJ;2A0{6Q{hTZA0>K85Zx}^yt<=X9J2y@zLphH;og=*-WFGcP>fN~d)`tK
zN7q$yH0+~7Lay&60aszX)SstS_FM}0v&?N1rBI={MvmbiDS}gr3Zqq<WpI6i(;qih
zD%8#T_Sydv!DXfmp$C}ckUFQ}V>dv7m{n)L!^5JOc~?`<zF8hMI)!MjUQ$3YcOyG#
zLJW@yw9b^T>42%jTlM`j3Y7LReQx2Cz-AR@=9in5(CAHuUF1^=?8pm9%LGZR{C?EA
z*GCyYHIE$cucyE}+EtJIBq^K~nNn9eq=KGmUjl9WDZr}!>F~Q>(ircoD6lzI6;-A$
z#w~MGVY$Iu^Np`8{^YE#y!2QNGbKGU101LjmGx_=X;coQ^r{w545;JSWRmo7HWlV>
zB+n-$DWFq)A)}376BQ#ib+;{1p*7Pp?bcOA^jET%Ni)+z?+U%<?GbC-Q9d!<bW#a#
zwI^tO^wq|;(LsYuE(2h5QWWIdt&Aldyu_#DBz!UI7pYTf09R5CslFRkP@0#o<J%f9
zoFz<of({#kiDJE_vDupc)H+NB9Mr{%N9wh!jz+L(a%KN%RW<DX$hMO((ZhFXd5Qf-
z#&D?Ox^OACI*RH<Yklh0L(cu)Y%-=M@WNWDu;Pb0a(i)|tEB6rxZtLZuboXnYBjS|
z{fP!{pgErD4$;S7kGn?x1e<}<sA`T?h$e1IxxC3`hdx@xF{hr+Hiy)rO>Qb;S~&1@
zLhc{4K2ER{?udM00jig7UgW!`h3m~(NvqrRu*9yC!Zm6MpPF@=<2ba@_D=fA<3YN(
z<JC6WPYwdC$F^R%>!gh_HTDlnXgXMVMrNU(6QJgpvU<cmZQNVUU>16=jSA`p#rDwv
zoU}pSaUX5`mlhRn&#Q$)|2?bCUgHI6<=ii4Rc%as>Hpl9tbxSkg*`jX>2NmSd%Ajq
z7W$r>ax*YdLw1)VljA4ope}xBc&mjLrbIRz^P{NX(&sqc@M1dL*N@Ylzo3a?`s2J?
zwUzLrs@)1}EggRL*t@H}(7+6?Z;}JPYq`j-c>6)5L(Hy>y2f60R5-6P<$X;W(Z;QW
z_J|I129IYpd{RUC3A4;p1qnQ3utDGD0v*hEEr$5MQN^d4ljA*;A{cqa(SLOp9VQz(
zxo<yKL77sHyXkU5nB38J=AJ4Ywx0M|nV6}JKRt84Ogr<V-jf3|4+a2s8oRd4hALr_
zkmbr-Np944ICIH317P}Md$G5-BC6#o#cN(>$IDddDr-8xRi}N8!%6bkutb>tUGw4F
zM{L}AdI(@n-oVvxOctMJ7`JGgX2QhE@{hgh1n`G%@1(>^qd?@L0?%v9jFk7lxgpdF
zIEUqW28-8pXBA%XOm~s-ZY<S=T4xD=bC`eqHzAIefB(BXaB-dya3wWiQNR-3CYiB&
zc#Gk6_Dy%zJ(^?eF=onqw$lREiyQTY4T)gl;hQ~b`{x*!rQ$kuOU=RkQfBbLC1Lb6
zFN)*6J;#s`>)kiD)*~JTi4Vx^7s3>k{PeG0^Ned(Jo-F+&EOrAgqQO!K|I;1e4BO8
z0;9c_DdAp?DR}Y4T}}EWfK7R-zMtwA86jkrUKs^bc-SPt?&`^pPHvmcD*cxk&UdOZ
z7;z>*`@t>zXOR~_ZR36rXSK?>`$BTx?cc^AK2D1E>Epq|e>c8EF%ycrpQ8QPZVYAj
z=F8*$aO3G=N)l@mGb)jS45HeMpt5>$GRA}(3)&WU$S<>?Zt<br5%xyVAd{t&_J|8T
zM#@Jg9NF+NYl_R4y0u=gz<Wu5%NmCwE)K-sVMpC0MpzTw5FExN-IX=C&}ce(AWoSR
z)&5GQnl~E2^B57$V@h0Tt<!u`q>Kw!`!kMvY%+kXcL{~*He47zKg!<h!-Gb_dw1%8
zrh)0jco*dqF6?epYP>AZhs{Ibd4CSkKsPQ%kFvmp8;T|U-mdZ^|D~9J4V*NHe6px4
znaYjE&kNd5FbSedV%giTg;YrMiWNI;%Y)*H1~P|)g^<afmYTfglRMrQZ3|H3#jLt>
zy_UwpYx!A0pZ^a9UZe?GuT$c~{`5Tp5g{TN_3XV+!!-)L=W1<acHl?-z^24<hA1}t
z2%M1hpuog7{UE*!0gUYZ6?$1+9KDB9gtG-H5Z%B3m<+2RhFSm6ttyg0HR{uv#&=}s
zXy)0~-!6!SwyhI|bSVr_@UQW@L57th!cDP{g|H~PKeJ&@8VCI>#04YBFr$>U*mPGI
zKc;Iu@pvPPUg^7@c5Weq;pyt!6ICLpZ|=R`3FVP<_#tZnoeaMnr<(Q-ilRga6T58S
zTAu9xy{^E7484zw9317vG2_dk-KAJ1+|T<!RoapaOuh5sjiC~l6Se!f?QLZYI7YGz
zb0xzDokzSozDpuW{p{ty0TpDu;P4ef$<VNv#p4nzjs0achpUy<Q1IGnxz-&r6dx%%
z9J@{yv!mbNb2_Y!yb>2Wr>DqZMY#|b_F4}4PAO@5Hf!KLYrln1cM3eJnK~qTRROc2
zWQufDwXn`5Kl1o%3cPyBM6}c^;(C?5;B_(D_$<LNtJ;SO_xG9T-$x}}PiJT6>n35H
zb-=mj>@;9YY*gIUsEn+^_r!n8>*7(NI|p-HX}~%&BYm<%1xL7knpn8$;fB>~u9FW9
zARyRdb+um=Pr0P;+qhRBJx~9LzWmS-8l06%sH19V>kwCCtx3jBeYRd9uZ<vJ-;mYA
zNp&Q{#&hpalkxC-U3={nV^}|&AQv#MflFDORzwXMS<IGvq#aDb`}=eV<AWwTaGlXM
z?j)n%sd{hed^6~9NR@qbUkl$?zGO9DyMKE&*eij>0#Y_?{mQjh8+SkG8s#`a#@Uwf
zg}}X*a9`u;g^EROyu;Y_m5Yar1#`U4RrOXt2~!f*2qYo9PUvLRdp)erWEY?00C?9^
z;F)=wgwna074HdM%=0N9(Yg*0xFY3tw338PyFx{DcaV_w>_XiYH9FKSu^xSTiG;eL
zW3>h5S}30DoSSxOjXShb6;?V4nIELOhmNUZ`Syc8_7ilt;xswdP^pc*wx%JEPphK!
zYf&dnJ!=q}Z~G|Arj6G!m$lo4l<}ili&3weH8|Xz9DcC&uUgrg3$|`mK&E+Rb*-J&
zKn~YfaaYpBPqD6EZ7-zJf3Sfxu-O{sr{XQDm^AR;u_M_6G2*E6)!Q<TYz@*AOnob_
z)UdUK_M0zX80YizUyCo(VP#(s$vI9HeGb!aQg;d9m9q1mja76w9p$JRXQYCsG<Mf_
z@8d%H4bQ=62k7uiCbDa3NC~a0cpun#v!br*@!Ah!bjbR2bJjIa5qJ4dS}nV;Fj~r$
z<mxH_+Ks~RCOncy`y2J|;xlI%_tUS6-0}iAwg3Cf5gS>Y;U$Z_b^gn^yPCv(^Ctn1
zBQoTJ{z)OZd+EH!%`rxN=Jr*8MFNzIEXF^*mO$f+@7J9jA7U_F-_=&S)e8C_g<W7Y
zilM*cxq}fZ-x#WnE4x%OEWwq=J=ge41drRE-u?LBAmf<DA(yUp3s4D7n8;r9smC_&
z6zgOM8BO;t|2-va0Tmj9){FN9QRmKygiqds3`LvnU01f6Lzw*0tumPcC>Zp)OFQBV
zBmdsToZy>g@b`^5Pq#E5?#Rk<4|n*+c;H7C6r3`Jp=5?+$uDlS_i*gEdg}*+wbklc
z!rDI9vo)z)UFAfR^ij=^M}IOZO-&P8^GzU2-0MJ$CkOty^VDZFca%Yyu;Xf8)5Tx)
z=j*wCvSHBPw3lw&6O6sy{$u`r#^82Ls$i~+74IZZ8`8Ze8F|(twP%`*K;Qk%dCM{u
z)M2#<7IT<loJu{?FJxc@m-`-VS^dI{MV4N&EgSwZzOF=f&)hVG-Oq0KKC)uQy+X&s
zQ})g>&RYkXC`cMY)StVNQZJcMKVtv>mh5@Pcb{a{6KMvZxD@ZX?FbVJeYqei@MV$l
zz{#k1h0g%=ej7B**f3#IM!a)_?Fu7!y%=jjDh)C;$yZv8neg(A<x}DRm~gN*anVnh
z29v+xx1=)@#>R6#OnSnMXFKUSkVl1@*@{~yqM7iPF?F6(iWS4`J0ff}sbIYr9x~R>
zgnw^tY~;&eL*Dg+na3(AAm6HFUPCaWMtr-dj~WMloZN_iH&Wo@Nz#c+EzH;z)HE{M
z$%z8y)ZEseWXN_hJ`@_tf(>_%H_fc|yQi2#(>h0nLR>jmXvT_??!(`Ir10X#e+S(S
zwaM^>aPzE}XT!;zKMTC``B9+x>fg<U`cM;7&-7G@9b=z6JXHI<4#&eDZMe9i2TX4q
zKR&YMz$wE+QpGAl_*we-VAp?oz@~0wMoQ$w3XkJOv4@56MY8z!FYk20GEw-#mp@#%
zqCdIh+$(~Hom#Sw+;pKgNNS+{BoEeX6u$$$VtBer$jq-_2c|Z)AD~kC&~Nj>BRT96
z$X&az<Pxa^aC~MuOi%zTw;we*-ztf39S_O#tLeaE>4~K){DK&_5gx)bY5eduf9k|H
z67)OLALMHbp;nGTMM;w^_U&fNZhA@rw(x<<GGAd_%x;#7T$RU<ooCjE-yngwhjInI
zR0QMP-*c`!R7C3VfpZ~6BnVZeOqa@u;p&ZNTvO9ZsHmaJ$^D81C!3~XT#ChUhiXIm
z`L!NHM7kbl;n#trJ0@-Vn<TMbG&IY!S{02a0*|DJ>p-#6pCOXCGzPXD7Qbzwj@SQe
zG1|(b3&G+?_upHRLH9jnYWLr0V2=6fUGF!#kj{DIUJA<^r?0ymoDb5%PD!~J0}XmG
zmi^fzOhgg87t4%Cgh_}p)tZ}U^x=cmHToQFjnmxK$=206Xy(w-aqKY}nplG~T>O-A
zy3;RhWtSdyvzWLvq*B02{n$Z^92IO*JSD6+t&i&EmRkRkso-uY)KdOI6~hnQv~YV$
z#?ALLBPb7PpheoSyFx}C>r9+f+ICQ|T)NHq%&Y;pUW&e9u|osRk2Fm+{G?#JuI0XC
z{~19pTlJJ~wkEpo-bT!9q+*J}?9=)QV+b#|or|c~!l32cAe96vZhArgF?`7s!~%TM
zb$hh&ZL0v@Pod&t%L8QL&E~M4tN;GnRub-(YnbubLdDb14t*9EwS@O$E9)QR>foEd
zjd#_)P*8yJQLUlN3Iw=hH-wq!VldN4%Myu#f|c<kSnCD8$7>rauIXYcr~DfiQ!;j4
z-2OqDn+~!bALyA)x=2!cnHwyxhonomrD}}}5sB+e3?Ay@05Lb3evpK5GoF=huGYX%
zPdIAfp^KlVSx!AXp@}&U+tZR?TEiG~$e#IUI=E*f+5DZK8Wwgs*7Zx+z{?}2L*4sH
zcwSbie!@~2V_kCvYwc~|wm`RU{2Ohge7jwHV~ac%4n%xC?rsBC?GqjOsaj}R^Ls(`
zj3oMd2?Wf64Sb7W-ae(FiCfC`e)6e{;27zHtC@%m@V^^1@GDZsnXC?_v!#5fT%2w(
z^wt`_imSQ45>`V@JL$pY#)gvDQes<=S;M`!^RHsVRdDi6>GfZM3yh*l)8(^b)*z^A
zru*-s61KWA-fP*7GlIJEv<z?4;i$=%Ie%M4jGM|>eU<i(5zrz3%hQ++rq4L;$41DZ
zTaZw9lzTm~xozQfRXu=&$}-2nL}`3K+8rr$XMl)yij_I<0)SG5!u~HMFpo&RKCv=P
zJe?i>^{R}30fq6=S$#3o_d696pEXWA`>}5KgSS>NHxvsWT7>c66Xu6{iGPUjZB@CH
zKbAmc@k!>*6~vz8)NOW$CyBbmp$jUKmXP?pA~Mr}A2&U>;wdPbBt)O5b^Nfm0O#f3
z_2(~fqlcsLx52PUqF&=*RBDtt#FW-X4z2NsKbTZK{pk;3@OJ^1E6kuPqbwvam=&W}
z#TzPE{}4^*P46!*n!-Ud%Nc496BbS4k`?oBLat1HvxS{0{5<qJVOnaLk!c+N{N3wO
z!drLGo`abtkUeB_?S|ky!*X=#Qf2fAk&xYZ4n~aOa<AT-!uWrT)cadXUm6S(*{40`
zcH0<(%aqrViwFKPeoUTH-!%W7II^wcQbvIh9L@5nmOnbdXuVj{PyO(fm=XC@mc(HM
zac91@4A=i+B*?JDRel&GDn91PuRFBHyNDxlFCGsuv_w_=o~(Q(n9t0=9qls!|7{mt
zu28=*9_wk{ti94p)D(ZTo^&>VXcw7-{Cb0ok@IE(A5waVdtTo<r|W2d6Q`U?b@~|Y
z_G6KKZ{897s-;ZrW;AGPr(tPTH)G<;`d=g4JBgB3vCdu3sK8k=mj7X_lTmP8jIm(Y
zP9$CGv5GUMLh0Y{$wA(2jNG8~!km&;!s)*HV}<7w;JlHVKGOP%vHjs5^{73shy{VP
zB5`X9)CV};v=@5G2=ctBFMGL>sIO_V+tf-1vcy8?Z_YY~h=iGtf>8qz_jW<2)SC<^
zOuVIb=sahrJ(i2fHmoPc&TaH{dZ!Q5FGu#BUti8>@aY;cN<~6>N@Az>q8^+JS6eSi
zJYsxEN^$QCs3n?87QXjr=)ts+X5na8F~jD7BW=mPnrJi*R@U~>g#~6F<L_SijGmdT
zNxa2Xge9+B`Fy$#yiFa}O1+!Gn3)#*v=UWG2=T=vE4Gnf<-wUP@v$+CgGG_+Vrnah
z<%O_UkwPT6%#;;R9os?77*#h7`d1KD&)gn=*{TithZ&zvkH-@}7Oy+G|EnP8Qn;@g
z-qM0*8yJ<b&LDDrTD}gbtRU3dPknNq(S&2Nam;qpxkQ=&&iK!MmBhLc>slFSO?XnX
zg>EHxg9z&yy;R~|MUby+M+FyYz}eT#<Du6I34SI@{kH4R3A?(ThT7~JAeN9a_j+9k
z@r6H4><zVs$PmmMrUj_On3wda!q~fnT+~5relZ3SS{@V_+@=O~@mmEoSsxNLwQH@e
z5Q)tk8}?M0slnCOl-nCNmlCEy!HEh#>xi!*X`ZXMRbg~=b3&WZW5Ty@;#bMm7sOF!
zy;vnVRp^TMr?i`t6Z@{8vaX$LAbK6`<~cG|;F!vKgM}T>h&Q4#y?<L82}hyg>`MYF
zFdn5pC3e4(=sR6Me!9Dv(9qbv@+?IeA_gjW)OD+gtx0{`cF465PHKLa-3654Q?uKz
zxF5B|vUF~ze$gAk#IH5aEkg;ee!eTtJb}dj00030{}h*bJd|%2#*t7W#?084VHRU2
zGmPyys8AG@ERiD8A|WM7N{J!~B}%l1pDk?)C#j?bm5MAyvXdmc-g*CgKF|HfIrlmD
z^}Vj%bL{$Z^9G{g@O6nRiZn>rpQ0L*Tup>qHs&sW(@1D#;Y*EMYS0xoyZx1W4I!DK
zl-L^ofoM5OJNkyB1|(D7+WNIG2u<z9r}g(Y5gnSBOU08_VQy%5;@rVnqJHy6+31U(
z2@A&;?;;<nz@g{Ox~tpjh_<Kt5Ar9Qi6oO1S<iZuLEDclz9!}^;rOoahI3{sab<z|
zjps_r;FBRR#o{y&siz)1e|w^XV08Hj`MD`UMb)o?(#A&Ougcu1lC9r~$#kKsF&7je
z;cry&^2`s!t7TOO=z3iQ$Gf;xq)h>otIox@q&5-4JC3jdbi0YMegXCGECrZe==fBy
z<})$4>zb8`e-BadM!`ZLLLO#5?GWlSXdxK4;yA*seS}a<N2teJIauwp<Yd_QR>I+v
zm*iB&AQA6Q-q_2MgMB8CBG$BZ5KE?$Y-O*H5D}}F*A|_Wg~X378;+m<PAHXdq*$?|
z#8a8>=*NRpAZy+`Kn?05&ae8>Qnzi4=y0y>pt(_Du-dM;=s-8&wlC2!E^3_c+-S5;
z<Rt|Zg1y_Vp7apJ;>lHs4HJZvv#shS3kry}`Q~o5?kD<(in-6XPZJ+s4J^=lNCv$U
zmQsY|5Fz5C>e}frM=al0kS%FO1_eh0w>HWz;%eqfuSbLc7%A%vJ+GDl-DBTdH5*3>
z$&<HmR!j);bCTtMt&@Sm6k4T8<rtB<u>OLOh%h*Qt?Tv}Ai?wRb<_7c#|a3St+{3)
z0&z|(vS<<s<nlJSk1n4ic-v=gZ@eo8*X(&f@JLYnkiN8UV46tXaNN->L>&IRbGY>K
zs5A($PfmDu%n?8I&8AhOB_VJ3`S<jP(lA@9xn(p}06LUc3p$KS!S~dH3D;z4$b8fE
zBz(IN?41f6?EgRlZ{yLBHIdRVIXqYz6f6vT&zc<`8z94yMMG8nQPQ9;Ui<81i3kkP
zOitakl7(#3>5*Sq(r_ZftYdW9A`mI^u&rv8hlG1aS+;G`VD_=5*lkW6_G=$@`;eyu
zNtIuf741pD_0&JpLS70LpJguQ)vJPPTjKDVZW8EXnv8(8G>q(8V$^Y!205POFWFTx
zz&ns5xr!+RWu+pf<MA30tsyS6_y-wmyRx2`TT!6A-Ya@Mivg!s)L&-$QbBRWWKDje
zESOwua%pO1fzUZsn|+RQkWnipt4>h>okQtDTC24{R$u4U<%bF|K42<(rbP*aH%0zR
z`k@2k0ZE@ytCV5Ugay5`T@~aT5(?U`>BF=|aa2jA8mw|Mb+AvNLD}19XP96J!CvlW
zPGTAm7_R?k)I|dhPS9-i?i)di-~y|-Hw^Ge9C|CS&j9Q5{+qUH8AGD#6PFJPY>2PU
zJsw48L4~V&PkAy2X8*l#Ju9FK&i!Toc4)JqM`641=_W1&KI*F7@XP={oqe$YQ9!Q0
zaE+NZq;C5qklbSedykb%uXS4nPxB9b-MCyA>g9igTq`sMVe3M@lO|lKTrHpJ$<qhx
z5qgL-i3ewFJ9cZi^C14?mtm<`15g+E*y}K33Og;1e*bsf0`^)h7`eR45bE7eAAh&e
z6j+gQf++$3hn9)ene-Zh((##1p$aCTXW#Q)?YcEggxEN5b}<6ex~_A_?Kof>vq|#1
zrY$6mslRtWYy^|#;>jXIM)0E0gIX2292R*8X?X+~!K1C&JSUa`Ff(6P700iDCq5+~
z-4`2yWLm!6AWsVn9V$M9-AYK#H!zCaWeAmhy;T8Y8gQXfppsp>5>)lccRnQZ?_+_U
zV{MKiB=)3tCcRk+^>gA`TLksNEb7dIY$GW!)>pb%e`O_{O?R#Pc}@r7@4nviO=gl<
zepl&lIBz8kSrisM8f1gBkmKLHZQWJtz3<Fa-(CTvjw=O?Ocvx=)*qwiEWj&!4hf!{
zT@KW5hl77?q{DKD_B$oLl9(Em`MBA7ISkd@I=3d725062vh6En&|zVtMDH<MAPv|3
zHL6gCF5a2pi|telTblOQ?4=F3H01_OWy^ti>^<4KMe-==nbuY<V*|H$tM~f7mw~Rg
z^(W4TDqzC1=mVa+tRd5@*Y0zbB&a>pNy}ZSh_-fLt~%BO+)T2y+j?FE9$fH^;r^$H
zTE6|w^#p)Ybj4Cf=Xt_2F~aV}3q^Eh`iFduARr`sr}X3YU&M)r$)chB^GnVCUOydg
z1xDuo{)otYAZB!of?tIzV&9Fp_M!qyI5rktG3@rGDpJefOTNA$ZpyVUW_4M>zX)z_
z*2R%3Q+LH;jUENObn$cWZ?*-@@4k`Y7d2U>r+-vJ`-TDz{Cr?+d&C?X!-c=qs|ldo
z^I^&LdlitXcQy6&cQc^<mu>HRX#v(JiWfLJDPS-8=J?^YW)N3yeIle%1i9n<)(HjF
zsPPaKujPU9uZ5+Rsf#dG;I`Nudj(7-%!0jE@nH1&*aA(>C0OcYDHp#}0naaSdiSo$
z6v%m(+_T~&(PUy-RuR9R?c3B?13OG%uI_wbf|nE~Wi={qo>suJ-FFsj6)^=V^?q%~
zZPHk(xB0(_Kt;S&P^>JNZvxg8Pv76%Ov0OLK`uEXinwHv<Ew{mCj5C6?l)g6gS82w
z2+2zLGx0R#%n}n=^h#~3Esu<&8{bD?T&au`UiL|sUU4BWKTaxLm4XXm)^DjMtKgz{
zJrSg2F058Q^z)7|6%Fm(6$&O*P|t^QSkIdagY_-?*ZQg0DO7Vtc~liQh05=>H0Hwl
zvUtZeA7oKjFNp3It%maqFRKhP7sfCCe9J;P%$B>bu44%eXT7!W=gxB=cClEfcd0y@
ze@s|na*c*FR+Xfh-yArZo-y(+PXXz?r{eaYj)t~XDtksb;CX0Anna!=-Ys+@HFT<D
zpU%UVOJ_K+>dLv7p2bR--KNy#nV^CGG|hR66c-9!d^vlgLK%|>8L1XVbflZysO~o4
z!gQOZ=gCGDEc||}Eb%KHy;Ak<Kk@t8(0P^%1FGnLEAp>;ECbi5^{Q%J;6iSbVSMv(
zHOygL?n`Gf@ub)DFwr(H$g*-(ODHrnhq_XWXH1lrJQ@_NZvxY&hmyFrXz1-;dBAuh
z3m1OVT*x_N0&WK_uG*QZ;~9^0E<0OUC|EFjer(bNvhOQur@T~0D=E_6ymgv*w|`mf
z!eCRNypY<LvR(sAZFaSn-P1%*f%m%)kC=kT56_pES~SqH_TRLd5F1ZqbXzMQ<iQVf
zH-{gdbgYY9Yj~E!#t@~lU9OAG;F>{j;F0%q3_PCQneWI(#Sxp^wz+1IvukSX0Kq`f
z*Ue=iE7*9tFL&ufb92Z{j=BHk3IpYjUVXDtg^kB<?D=Q)*&M?6Zq%<FWuQ0V{=?;y
zCI)9+-(wJB0kQ`ho(3*sVodqojtfDWSo-^^e~pMGI3Hy1S?kBd(IT5T$!->2fBEF8
zcDf~8;FbP1jA3GUy2pj9RxG@-ueLE?-U?O^H&ECKOblwaUax<ciAD#czn7<2K||`*
zmb?7#$qE~x?bjK2Ja<>H;*1sOSZ_Ru-b@q@v_J9RLpq)^)_6a*o&ZAdd_ggriGJTG
zXL~9&Fn`l=-nUEwzGfsmb?anc^v#G6n<wg+Pb;}P_l|(2iQ-;=;u**+Cd*FUqv7cs
z+U(#60RmZYl&;FarmP2a#S%4)y61G^-5dd3RsO%4ZqhNY#YphpHdXA4@_)shA|Rn5
zJ$0En9V5-7_B}tOjFiMMo^lrf+*cKWDXALhu+;f^L?QqECf7fxeL{fgbKttqsiSY(
z?BYlv1$@`neeTgo0vvw!Tm9aujt9kiTt%Yfut+DBo3?@gj1l_v=ot;$Bg@jJlx5M$
zw<$?t(h5=!{<0XL)6lZjw0oeBf-~NR`YkzDprDZ|m2pxHDLRGgJ-?CBRBv-nj<pqt
z_yi3QUsdr-`UK;X02$*?FM0Fpt0mZIyFPL)QNb6?55C-0d|osjD=-VOgwStqgPhWo
z@y>joQf)a2-LBOfdMjiJ?`kB(lH-&xJxy;W(wT&RqSEx6QY>J`=FJ1rDLxPSOSgzE
zBBB5C-^VwpT7dT(t=a843g{5t>qG98Mp}`R+NuI`;ARH&R@TYm7di12_RZ2LI8>G#
z#50FVYaRT}=TM`V@I=6%G}fkIUBpW>2=^Q}OW!PqwAGytH_4MwXz*vJn41~s)(W;y
z)ykp>`NO;|Ul+HE9xJ%r%Y$q88MELZi^eZh<-#A4u*~nA`Nt?8RBd@E>f1p@<GPYv
z(QFx<>I_numEpn8$7Zv}r>Qs|aQKhre=?X8@o#lJ-@mj)*q28-Qc+$`H*KFS8P5ed
zK5KC_g^82G)<4v#_||Rh!_)yXe%+?r;WA<Z&t)Dwk&~pNfB2ib-Pb9IwGn=+&YQrq
zQ2kxy5>zbhw4wakL&dWq8LMeFCeScx;<b}TMWa6|I&S=W)yK0obH=z}+ngf%+MbHl
z?tv{$%j7V+wmG@?4i}1iB$pkF<=4OeG8*g2qejUt-P`~!w2uAmG;O4!qwKwBV9M7~
z(ZSX_HWyAQZb`~Al*L=5J6-6ah^ip$_j!y1*(dzAyI+^ZZ<cfGc10>-?Y0kk#B&Y=
z^Jr?yY&opc8>wh6QAXOBUiQ&!4y1*~UrMc#!^V!0(x?d)v>pu`pvQ1vIPrCj_jY+K
zjs+Pzh8pf%tz2?%CkOJ>8@5TQDd5S~HA#X^YS?V>rvLe74s<V1RoCtNKVQ4-tWMFe
z=QPW0z>5RItMgJ6s}*rG^~t#6a&_#T-l9<9&w-thwxP5<CFET)Dm)^nfhI!z(G3SV
z5Y;tj?3tsCgG<IYNj%lSd+`k=WfwWnKF=Hc@0toS>JGN69i=1rX2_-?eqU)TF7&)C
zRmBb?!JV~y{rmf4(cA!^N9$hSyd@H#hC8&4TX33zBbPE4iLKy*cJFfey1#08^F#mJ
zeML-sAWnG^p23A`>rL;H_;r_s*F^vGWFe#ZtAfQ87ZTD7?+U4@<6R{WSL10GHl%#K
z#olfLMs^iz?%Y$ytWOF?1qqs{U!9!w>bnW7+V5W2=%9i6qvgEjg={?kwp_>~&=kgI
zHPbKib-r`iP!4Su8z*7lV8xUvU<9mR7(hq!h`_yq_u1GQEZ`BH#)BiLN{c%B=orSx
zjx*|Fqv)Lzr=D`nV9v8mdB~4}ud2eVn@8B_czMdosoe~|*jn2BY-FIY)9KZBo7vdb
zm>QEDZw?=%UK~v_Wa6KN@0lyEu(5v4N#_D13vdazB>0T4+e=FW{e*yx4_2D(JlAXi
zM_bp>Gb@<*I~{a(KheZfWBFuiq$TVUaIg;k$wWOeQ(m2_iG^G8uS!W<L7d-Dx!EZu
zwzD*qJJ+(X^JBq@V_8-p(YR^vjtM5p?R4l34`QP3xP<*ZDgo@jOE-G8^EuMLUg%61
z19#l|d(1P20J_u6hq*!~j$KNfPTWq%Sv!*GjZXwHT?|*u?qK4O2WN2QS`GZ7m^rJn
z1VAzGp;Vj{pCeBs#>x%Uv20|$^=@^5Yq!^HSn;`XFgUsTjWi8^XfQg(^#DxwpOn;Q
zF>vd=SDM%_RlHD9^3zElAoF_z?P?YseRsmC;s#}`x~Y7ngb833C`UCArsKNk$UhSA
z6me$Nn!z42faLhy@fbf1lr|~k&JD}s^`m`<6Zx_F_p^ib_IwV}$%S2aOy%$kC2&5p
zl;GztwOBoAb)2{nZFsSeiXT119*6l7FmKm>`O!8S)-6v|sar=u1>NqX7*PV2tTk%4
zeWZp&?!d$k1{rte*nK#3%?iZ+R9qaEQo|45r$)k9GWdBQyiMEG3U*AhI!(T+ppCJc
zn(9Up64jx1j9yv-IblZdbFMO)f1mU3DUwD3(_D{5>nx$>b*{m_2qm-<8m{&-lE&%l
zns4X%bN@Bf{nBo$B5HS7GTyaF;Xue-rs)<7$RW*5No`iZW@qk^kegCC6Go}L*KH1S
zA*au)?UlzP(cvSp=cLfl`H1VfUFL9q`@Vzz8FJV?6SLO$k`!9KDVcaZY6i(5Rd?{S
zECyOtbYwo2Lj2UveR0qXyhI&5i*;r3cJI&W$$wI)eneTiet{WmBFrz-vZ&aQ(fazd
zt2CZ-O;PbX%Y#komm43bQZZ-?XX-XeV|urEz^Ez@UU)VunmwlA%0D+W1_=^Mg(<vg
zFExd&0bl($22oIV`q22Y_asbmc2-VsFa>t3@W>qw1%DeJ@VUHS2A`+Cc;xWI1Xy|t
z<7#CnxT4qn@L?S?E?9DN;6SVioW3d?Vk1hy+^7FVd5)3MFSlxJC(8ta+U=I!SxUjv
zcOE?Js-qw;qW;sN1}?nHRI@#&L&47Iki&hYRAfBd|3~Bq7xZbfcQd^y=$f36xjtVO
z1=Y{*30lU5vBA?50aqzloAz;qT$vnhb$zsrI?MsH-m1cD(-dreC0=3pRvv8v>lf@T
z;=u8Fl^o#!DlYqZb6@IT1@sR&6Y%Q*2Rw8Gn{0kiaf9Tc?J5RJSik?g71f>tT|<v5
z<-=w1Pkra!w1djnCs4}Up~ivPNK;Q+IXUc#vPnJlUIk@)f~6w`IUxJ|rB~QnIqcu@
zZLzMh8oo%V*X<lI2D;?|H<vVdjEdJb6Z@iuO_I|UHs6dv;Xl_;A-nlG%Eww!{~`?+
zeP2Vj?J$N2y%h)7xGExX!zHxZM;)u<J|~^&GX{|rKP4^KC}F>kn9Wr!4SXL$BsBap
zhBF1l&;2(l<D$ovSGG-R;8gO1;9_+STy84Kc(_{y$4UvR(@Q$;I-s=g^*Rn*v>7n&
zOy>Lici!eJ(iwQ@#RB91&T=5oNXJ9XM-AKe#yEcVVWJ3S!Mzu)9B2{~aUPsjL#tEU
zK55fgC~)_7gP#c(5`E3$7@0I|_OUoG-oe5dTN39=4j0-Q&KCuktK-vl#kQY`nz&l)
z%UV}C6DY}c5F)jyW5)fHm0fH$e%^bdjGAo%DU0<_Iv>_R`INI-e@fU`b=A8`!O#@4
z7C!qYqd-TG8+Y#gQPaY9#Su;822;?3;3>rtI=V#*8+{Db!UMM(lwb1wf5-jkv-5nO
z<;Pv|dUj0<MUQ{;d9G~+|EvsooEiqo^o7>!EY`yJ%2(zKyUgJD;=UYRb0(^9O>WXS
zuZ1?5Q4N{d=1`ru-Fx#@ChnDZTV=3b3!PE}=T~}Iz=FZZ(#?E*_S2#-82-sdrJ}1t
zhEkTmxlm*yV9LV&yzB*&E^M6IxVNFaitiiWJf!UKWnrq|Q7_`WCid#bE7@<ef@Ez2
zl1?}a`-);)MIZ3*^ZiS9$g~xVJy7lU4rXDf$v3%%hfGx4QWDKNLV%ud)P?KLEc_{R
zPDMSJum86f3bgY5`GBlK7a`BWaA&;~=lyhC1e<tk7yyGzvdH2(CbCVh&NB!N%!+?$
zBVz}kWi4f}cN-H0PhILr5>m$(lS2U$UI0NuSx5c)8MszXbp!E|pId2)uOzkuBy=S|
zw%yD?<7+xvolI3^$cU^j_Xp^qzS;4-nvVVx@Y}SRzmJZUUN<}dE-&U~H1X%9eQdS!
z%|ZoCTjY>YU<=SLqo;XzhX%$La#y$%%Ar?A=J)q>00*&8x1X2rb)G~L^=_l$(^}PU
zTW0xOJ4NB<{-t3`@bS%p1O>g=*9~6f67YJX=FU%MG_<1?a2|h@L36hg?`13qP!4Mu
z{S~8zx4*s<NXjPR@KQA?&$m`!E9~_w=)5WxeyWhO%aX?1_I3q{ZdOoMU8lIhL<PUx
zpLA)gl|plCH|O20mheOOP#yLtVNq*I>0Y`N&gwmKjq|pICY>tB9DeS0eim>`eB)C7
z|8uj(trk$!$_$o1rhuW6m;c6=N@C}wl`2>Hdtwo4_3?4AJZ5h0i@fe8iCrt~V_ttU
z2b*o9LiPLPuvF+?o**HKt;?#G#&0kO753+5>2tCe-rXpX<tvE-t``p^eJ}&Z*xZQU
zFR54?v%zEbi6nZsf5;2pU<S0{$nJD16&uriLR}n|;`t6CwVKa7NO~mG{qryd>D~K(
zJrI;a(a|p#`n`D&(mj9k+8h}lJN7IX43ok%P2tT>J*E&`8!5gsos9Wsa>!q%q)@9?
zWr5v3QxF~{Z>wHTM(W3yFz<8H`0a>JhW0{JaP@n9LsOiL4?^=DZdj0T&sh1v)tM%6
zZttixxmO0;E&R0PCrK!9h4OfOnF*|;-Vc~-k-^ckTl+j~WKiOeoK56=E-X^C$n)!x
z!F%J2ewpWz(R@2z)!xsAK<_7a>iKyraNn4I*%=Bh-=+I<iz*lNcm_6~jL4YjHuUIA
zA{C3zJr3IcjsvNpYfs7_B%@>8!J)=1S)^=ti*1PIK>o~{X8R9h+;n~&qw%pEswB93
zeI+=sbc!~vYE41^8;>6?9OC;B?!>Dl3pfzolfBTtnx7lDiL+Dm6;bqh<HGK@#?U5s
z<9_!>Dk`w{7)8b^;n|d??IStH@LJViW!O9we_ZY=%<fgjPwTats-uiSCwA^s+e2Br
z5k{H5wpkUQg>7pP^fiW4!E3t*PsrhY;oCn#L)EY<*<^{Qi!rRYWFoQ2UmpDm*OnSu
z(omuAx@YWaWAN_qxm&kU0ohlw@|z_2@8j#oI!pd}ow}pL6&{M{Gh8*~`;+gRe$C(-
zKVzt=t2}r*NC~H+BW#naHE{U}iFZ-QjG=r;;>)@eWo#?c7I~0MM=7C$i%%69gGUrE
ze&m@7>J0_net(pK7b}t;>F_!AEgb5`1=Y}}JoH)67A9We4hxHLInc5dCm-HY!`;On
zt8>g)n7<(V?s+~hRwd-zR$E8I9C_bUk`kIYy7tL;!x;`-z*ia#|7e(eOD4bPgC+)U
zNE{go=Ysfi`$2Y*I-V4|*81lZ8(G>rX=ws{KX7&XcgM{dX!}unSDvmGo;X%ek<8yK
ziN_U!WN|u18J8_w`9KS68UjAH*_guPmB&-%@6xfcMDEpux;B<E(=Go^m_o+g17Vfx
z8Tj+Y_&(}xZOn_$D;R#j1HpgVEG}Q)E-r7}?R`cYALV8DD8-n8!od0^8DUIpppB*&
z#%W`cubW1=lR5DG|7MI2GO@cnbWN|bHV#Y%uy-k0z_*q}rSSDERG|1?Sv;hL@qg6x
z$bA+t_$Z?#_&N(ox;0&io?6)YMv1Yi$P(PrY^ze*SSa@0RPs+I8$0dIM8E8`f);g&
z;K^AQO3okou(d=JJAR9i3S<d5F}9VtR!|c&{a4+Hy~;x7^h|>|-w!*)Eo=SJ$HI)S
zld*pLn7Eo9e#}=9ApO7U;PU${JX3N%LRpW2X9Eq*^IZVO^e?YF8OTD#J)d=BK5O8o
z%4!ff#P{vlRIxGv7IM>eb>~K?W0>mQwW1dQdhh)Dvg#-kbDe(g-X~APA;X%}g*N~$
zYOa#`Hpswl5sg@LOcf8z2mJH71#qG}X*_Ht1K*vk+A}+(ge4h=b($^#>^iXVt8)q+
z=Y3Vzr5sVf*ZxyC7oP;!a=CG9Z-WLZrXFL{Kn{EB47#=Xd`YSvTTm*dfy@g69iKQ<
z^#4-4=7<%5u0D$=VWEy|TxKFqY$M~6KfiQ0NCLR~e?FnPhlZ{Nr}ettlJK@ircF-~
z0THcl?S^yJ@bzC;ujUYG>>PJoro|&bX(p*-_^v8i&9Njp)=1&YL7!g*<yOF(|5h$)
zsDcYamGMrEB&u8%oZrK>0(q~6;UkqwNW7U3df*~~cUn=wppeh^kBQTdwkV>G?^#z{
z%Ox0E;Up2FVF_Cm);c!GDIiZLw`#=^alFzy8++h_1<)m5UYYNe!)+mx6Xi?A@sd_U
z*LraaFb)hkeB!+<`t9@Z{{3??y7T<ydXJdH!bF`goljJ(Hrg=rVs0@?&lML9kDEdF
z^gE909}4Ds8+6n-iQ~6A^Jjv4%s_O@go~su1;@ONv#c7$QM#whC%2aeF7KsY(__e}
zl|Q_8W9$;t7^GP90(kHvyx7usNCy8tqY!gG61crjwu!;l|0LdjEANHLpukO|LxX;j
zcwICq{^2fDklgTyv{*(4MgP#>Wh5>|nRL@&^FJnVv8_-hp^k*(dWS2dcT3^@mH&DF
zi7^5FHsAge7fIMMYjo<mx-_Pa&`+~SCh#h4KHL2W2_u)?&Artpjms={Hp$=S0z<FW
z&hHQjMPH8#Paz2tXO}!C*>Yi9!6%?5k?@GChyU%{GPr7Gv&!Z!4p5J_%Z%M6;q?3E
zX+t?=bS~W1<&?kyVHazIGb1GA-kobu$)n)AzYlhpb2w1`O)4RokinVRl8-lQsQ5ns
z0096043~F2)%_dB?Y;NjdmfIx&V7iGghU~fl~Ea$Lgj}-LkoE-Ba$9eO36MqS!pO9
zTUL@yLNf9@|K6|9AJ_N(e7@K9z9#quH&TA+LFN5bjh6-dcsQ!)_{Nej21^x+7Ub!{
zZuZIXMsWeuA3b;Cy0$2O%sl*__J|(XeCPU{T_k`~nI=zL;>EDnE&jEtsvc-n(kiI$
z7DTUWK5fer;<)=#n)K5@L^$nrsKH}H5JMKu2IzZ9qWic;g+><<nlFFplxh${)4-m*
zvy)O7d_ZZ_y@Ci^djA;)+!sc}u3E#VWErG{dywV}i16xnU>SF+2)@kLpI{f2#i<kY
zo0SiUz(Ha!n@JVLwEpPk>UCKhFumuP{*VZj8P6N@v&GQr!FEB{h#czn?hZRzPJ}AE
zhtZX9#qmO<ho;y^c`Q1%Cy#@whjmt?CvsB)^Vz337U~sH=hOY7I9fe87Ab!Avy~JM
z?+ev6FIPmyjz_c^Bt5tsuqQS8zBCH3bm&GGDdEt<*+r!^J=k}^@48F83_kI{%9xm?
zOr1+ie4nT8&92Qj%}5rnGC9>(Ca9n;m+_v1KKkHZk@kdrRTiWD22IC~sG|Ba*2d;>
zeMo^G4T)EBI8q(XW}%~oLu-MW@@EaenC5gbM#*DINOafzSv8dFkd5D#G6do{F{wyL
z0WBIlQX;OZW8h)QME@Q`P;le+)0$O436t<iPIe9S4_-Rg`@je~2S-PaWh-Lr?uhX&
ze+^9eW=>-eZVY?=@!Qa_R>JmQ^NUG$G*H=tuK&$m6OjC;a7S@O33ZQ*(q`V)z#Wap
z7Z!9(VdBCZ%R-PczU*D1q<U*$QE2O2r-&JxuezG9Ii!pMO+ym4tLiw-nge6oW<Y1?
zx<oNjLG9+#^}%lHC=n7HU^!$Cr^@#o8i-Lr>vCPr<B4j>nk%b8_uK;Hx9I=q=BZ#(
zj5_80MO9or@Icuyf&^Nx^^YqQsi5yuzt|Zk6?`HPJnzX3a7lahWP6$l4rLAA9NkvJ
zt7S>;Rfhna!@{xz+*MHImJ5sc4Mp6$W|wJ`34lHkEFWo9P@zBP#y3s{{N?l3hp7o*
zP|j4~_H|`!>`{N$n<$6=Tt~YS#{qs>KXiY)ql7)T&!+fn$e`h)Ow&(40p5p{)A@TS
zp@_k2Y2Oto^hr<tdVCpxLh{gG%~Qm$Oa9&+f)ZHcqww14JHWAM*^xcH3V6zA_q$sG
zqF7b9<?`}904D@j1kfrV@B6YMt$85~6W-rTTLf^TY9<ln<#E>gI;(2A00zi?Z)`gY
zAlj|DzXIftoxegwtA-D?j=!!-w*+_;aMZ&0uq<v@rX2`j;>EV>W7obj0(>Y<E{Ttm
zLB>S0V>8O!$j6*VgcK6!o5b<WkfpJXv{RSX$bqL=qCT>3TR<#-+m_coNlZPmdCaSu
z4SDhlhmV9=0E@mf;Rurisx>U;g}Sribk>tX#XfWRIbEEonkt4ZQ=APfBo>sW`0dP*
z%|UG?N=aT(6xpR|j@TtIV`-8A8*_;noUJFZunY;~<0kczi^9wpnNXCUBwz;rs(mh4
zeI|r;je)1qR+*4s#QlJL(G-4IpPfw15kxmd21PjmX8cs~-`M=D3G~!`i5@Bzz<q47
zN?oDMXz`baM#$3y?kTiSf9~Q(6}Gf125Zdd0oE;QAB};<DT}ly!jDDA!z{+0vY^71
zjmcz7W3ci46_kFC50zT}y>ujv72hy?PCr*;1UJ^(&uy*nVoPvihfX>hhI20y$VNs`
zyxjQ2=?X8t-N|q*s%6K<-RD(Bs|+DoFp;+0h`RS-bQosjL~h0FYDN}@pg9)KZM(yR
z?g>YP3r}!iPjN$2SE~UOGp5|N_{xLBvDJj2HE!IxefeKGHv`xbI+4}=g$Fl+qR7`i
z@u0!U<bS-U^`W<Ho8mjfgX8B;J-PXU7wgyTBwPNc4;H+a68CKJ;0e|t-@-?HNW0Hd
zJV#m|=vr&&#C3R4;`FDb15fyIN|Dc#_*M`8z5Al)L<}#6&NTV&sS`k3<I=x_VR{fj
z)}Ey4<3%ggKXsN9g6I$yzPT=;2Wzd@ogUfo;o)n~R_UaK(TU6L_HU|xrW$HTTXpc^
z%{jDk2^GP+1=g)Dw~6pDr&{6bF@ChC-Ef%sAc{VA{GZbg65&jgVOzYA04jHV?GCXL
zN4t|(PaISxf+ETLg<YQj)}F1nW#1uz{z7ze_B*;@6lXy^^h^*ZPl^^chfCpDWxRmu
zm@fQlrgpU>O9&l<?$l23%b-%n%k0*Vx)68U)Bo*VVSJGZEen5Suqt_8mAyq529}pU
z8kUG4!wcuj3^TH*&SPpb+pY^D-+5zrx<ql-I_V#eZ*tgPa4+%XS6#>pdM?kvEspk<
z;|E$M<Z;(z?tdkJbs;n*iTS#>1eO{+^C+EDz-62DjcRRb-U*eT?nOzA@#f23SXaaw
zA)jtmL=fSmQP`7bdeZotS7~v8Nf{l7&l;6BQ@{7?0a-mS8Kf1lj}Yfq!Be%xDK|9q
zAhZA8tse@q*yy`9S}dxHH-iL1Rf_b0GP-8R{7V*pL|KtL1l5qsI%s%XUmwmT(-w9#
z$>GVi)NV;Sb^L1fJJ`IRnlExqJQ7({-9yc9uJ)<p<}VY$yqg9<F5ozKG(-WnYZqP8
zsD2KYlzbdL4T0WYP`uno5!J=ZE;*`dVqx9sGtGuZz`3TZSHGi(PwHg07c(@GVTQjB
z<&B{`Jz#3IMhVOAKXjh^qKO~HoOi2Bn1JZUP`F93GG4E;x__Zp6RSD&+$AMVA!+vw
zj&^z#yg_ho6Uo=a73GNA)3Rppwy()GBUuH*<(6anv@|h$(!JD7(H#D8T3+m4QbCt@
zWY2{-4gB%k&BsaB0_KU&rc}&S(d6}<+w^sH9R6~5U7Lpl=e5>Ungdnw+$Z1Iz5q28
zcos`xog)Erh^Kbp30340sl8^*u8QAC$s>*K07P|s`piWYwdijBD!Z(Vr(U``aFhV7
zGqvAs=Tk-H_*T0c<BGWSE!;(60l>u~x^(`z3bI*;WD(R9kf>yHc|n>C-;cIYxHVKz
z$eY)3cd#5D)ahwlCy}AsAtr|JiZa>;Z&WLn$l#cg?8`HbWat<)SG)I732o-iR_$An
zMAvZkV1fe~DvYO}4Q(i5*BEb|b-fr`&a7(%nUI0zxU_qykRr-CIor833gamQOnfCq
z2Dx>Ulr04Xe4J}%TE`}cFI2Ykeo%G3XO4_8R+mTC&Vl!gIeh3k$)NJR5};?AYx}mQ
z9PWAkiAVn;4{GZr6<>`3@O@<ZOPU~y>m3bQ)n1%v>?w6EM;~C?%Y^NcfeapuZ}dIl
z!iG!*8*s9h1dr)d^gbp_VR>bBut_g7zUDbBe!+|c_e#wAnqNy`*lB-P$|xhIe{UH6
z{J;VZtnzp&Z;D~cq@WC&9|Nx8yPrWD=HMTYP^aoCiuF3|<|WSb80_1fKjCH$y^cK~
z-6xFy_#Alalt+h=XfKprZU!SuQJ>SIgiugJ*p+NWhY8aDIkCKE&?sf|&PhuUJ3QU~
zKG&wht<*M+fCy8Vd6cbN$|8VbrB!W<o^&{}#z{NdWdhlcg#Sj;@nhpf^Ox5tbl7^&
zS}4KT1PbnoxJ!uh;hg=k3-0^r(SSKkG%?>8npt^6hMajZ%`B(Qm6rh{6)t_(;Wh^K
z%q_R7Lh2qPwMHve7_i^|L-yN?M)2?Ha+7R99$dcYvEKNH5j~j3GyPT!;m*b6rgq@Q
zOAqA_RY@}A^FuM_hQ|%zf7OyDUsJhoWTf+AjW-LL^t>h<nK6Ky$^V-L1}+qgj!Sr1
z!-}@C{q^)=1`s~KH2M80Cr*s#TsP2T$MPGY3zp0JAo4or?R*j^eq`PG8QsQ#@<y75
zHs|%>OPQkc%VbV;_`5l;dX5VV_KLHZaOy+s{s#&lUUA}f((<i0@;tcv*NBdDz8+Ya
z9C8z4=fao=^bLMuyf~7`XWL??2j^0M8JAIY&UsbmT$JU*+6TLtzYY=Mf|Z!twl+7W
zH=oksHsMD(X@&N02}C$#FaD`un;RLgJs@fX2w;nZrhq=xCkX+Ep6)uwgAeZ5ByAT6
zqOp0AzVWy&{LkUe@gQbiOw5q@`t-LD(l8KNjy=$Yhm9e|0sr!%^s7qmBS%CqFzhbH
z-dh)>RTNp{efV&%73(?GaZwa3Uu!zAq6=yNb%}AP@nf*ZmEyG+ab$?&y!LWa2bk0{
zZ9-TD(3>kPC0RofpR7H$d(o!@gU^LUX#WbJJdt$X^|us~i%Nn#PzTZ+)K2NK2w~Qg
zUvJHE8I1l|cB!ab2V@R4r+TUgBOmWEYuhkcynp3bQweqMd0*<?D{m2eB6HC3%NaT3
zORZ<R)1U)Y0%P~xOGMFfXs0RqnmiJeP3m%obwJ(I?x8%FI36LmnNF4{;MIrul}a4C
z;M1RI_4Kj?x?PL<V%(*O%j!lUDSLFm%Uw5HS%9jK@9EEJDu=SVi%lx!=)%y1{@|Y1
z(wNESxxY+H1<hINSKS$j5H@RPFa1gelPdh|qdZkH^O{D63-w;aBgub_Gi1^7-6~Q4
ze`;8|C38erNDq?##%bEe$>EjWktZDY)bUL3z0Um&dNA8YIj$2VkHrK3OsM8+;4%7B
zFCj@E%$3+{T=y%Wu3pprg%nLZw##Ze&YQ|JEpp|V=8D)|*=HoaPYcWXY2to38bVsZ
zHQ|GDN_cN>DO!A5i^>Zp(qi@-!Iyrw7x7eHKWYBqc8H@k+Bdn3XayUC+ZCGB+wICY
z@M`v)aI`k^N2kA>xoQGx|H~d~OHx7BBfFIjduby}tzvg#g(;Z)p4(-mtct%pnvPlj
z(ZaKpM^pR9&0x!tnb+*8Dmv5g{@%4m3j^I=wzINXK*`Nk#oc^rc-l*GsK!MTe-G`9
zH7Jn4m5pXR-9-&`<tMUt@oOMSMQE;55a5A(Hxn^b4R7;_cT(=CVTK+@=lE5se^vx^
z?($H>tSs#hyu&Kk5c4A~mD&rqPM1GbmsZ1@qpNXu{wiV4e$#dTU1YF(vZ;K(nwmrV
zo>=apSH!VB?Bib($S~tmejr0j6&GbgO}jVbu=IV5muV>(*vg7>_g$d&7jL84(qA$-
z^r}<gA(A0m+>wp`nKCkTXObA!B(a0n^WP2Xy#2~d;L}EGF5fP2a5NG_6$!?Xo@ZoO
zeX(iV-k^wm+I&;gw8B^Nw#z2h$UuP7UbYtsC?NY(>i9i=oSu<)jPxV}&yVH?zD#+H
z+%53uCzU^k1x=rhNs*yat%QR_ec#OwD>)dbeL<P<(Rr*7z`fZe{hXUDhTR<Rmd<0r
z!ujhD@~Ha>T&0+bnaUsyk<pu9hY@Rs8Dsd30aE1LZWiy8!WOfAwm!jh=)3+f<4ZF&
zM|!X4hL9wXtirm#!h{C*{&{N7BS?ZIrcq&YduooTyIU8kZBvN;!C9(DEx_Wx$U`rq
zM9@UPEtscsgCh0IWqInEIrvZ{K0v(?(i+D$D?9w5Oi906dbVW-i*0G)$J7Op|Iz7!
zL$T|WLdOH)i4JD)Zs2ukUkyJdJa!<z-L+0Rs>Ir%lxqq$&K08>C;9OBU&iFSH`ghK
zRWzBht0wSCe4Jg<h8MMDpSjuC|Do*itJwPDXaYJ8XM>U~cyLF>@4y+~4azyoTG{AQ
zW8f^<svtb)LZx0;`q8FM3hNm;eiJTZ;Fjx_o0jIpJ2Lls1jDu|{o0`udZ(z|Wq$9V
z?gw^EwY;Tmxp#+RSw1R#cGwX16K5;d%h>RD^0StuG8+6PNjt%{*ASWycoTHqvm${-
zxU#;J7ImuMtka?aB-HK<EDE#Y8c$r{Yc_gx9paPrFf@Qrb8F9Y=`46=M|0BVAOp_+
zDd>_d*N5@S0}J~sSn%{0?*3afjQBI{;EO<_KI~rH|K5zB1wUOlmSLyQj9yvfe@rU%
zKvMks|J-<4(Cl<rz{3_6R65^P^NOqooX_9>U@)ZitEi9%CJ}7-cfJ0f<qjegE*|Hl
zPh`P&m$YOB4LOi<B7sxXj|e@fQ#C#-Ea+3N^80^cT<EaL5PD!!7gi+8qT{ZxqNL?^
z4m&pwHZDG=3}@-WRo@#O?AB~}wEIA^iySZN4ceOiHr0j4%Cfh(6xeY-Jk%z`mJe0j
zw_4{Xbb$MijO}M-4vYwnGYm-NN2lpMJ<{nqaL#^vYTStv*Pdtz`urz=arGHKn|3-t
zBuL*D&Evw24TcbTb0N&EIw(!ctOIk*rD9}u9(>Kk?7EjCjLX6eJ1y@CAUR62{A_>+
z*Z4T;g1khL;ILY@kwpL<tHI~&6kg01C7BNjilbFpl&Akm0%Xay*N9i~Vd6Ji^KWw!
zn6o^!e|jGQin9aumAvD}T@1V{C&#7m!%*D6X{H2d9{X|m(oX^89@+ipa;yvvGc+BD
zB@$qUIN%bjBZNGxTS-T#zFsg;Q2)n>0QFgHLz}5oeR~!oBJ1TaF0e!L>|O#$OPhRu
zvnhfHmN)2DR^^d+N0yWvNq}I-o0a{S#c;+e@YWp@MHF}F9_jg)013TA7F4juRMY6k
z&R3LheLr1?)+zxQ=nLphO-Ul1Q_CTrab^6PH`?asrUU#8OETm-X`B;$dS$~x6&L=g
znX&26f&BA1t#e&6m_@I8W6ymxwCnS|mv)4j<5!aUnmc82)%%Kp?N4>&(zyHW4Hpp@
z1ZH=f`sI)<;ad1ZV@<rWd;ZNxFA>_DPBcn=m&Xk9Q}4!5E&Os7EYs`spi{e_LHw5j
zwq4VsOr6(8qrbMVb1C{@mXLBaf!bdRbX1a_>k`l+?0s>^kO7?V75h2LsEi_9f8U+F
zN<gK~0h4+@BT$Qab6kv81;xU13U0rpo-dbEdUV(r9#%;`N}5%{t$1no|GEiCM>=I^
zUTFfa{F)|sD606NplA=)5s<=b?*C5Q3_w=&L&|A2d{YwHrh1luk~&XFy7A^P(emlT
zAd5Qgc6q^_OHV-IsKs8dAq#NQ;@WpEiaLL@r{+q77Dl=JOn2c27$mK+mX)dFxoU^k
z!iv;B#neiuF9s;F^!&h5r;cG#SBxFa)X|{*c`OHk3<?o~?{8(Q<M%0Dp=?1_tp1kA
zax0e%M+Mp)dCb+(UvQV`MQT1YAAVSsvqpyVD|!LEFV(PXPOU}FO#xkJ+z-7bT7uzu
z|Gb`cRgCfxYZaZ4MWU!f=nXeZi1|XxDl0_orCHLVCficzedTomx348!TO1b{<5oe@
z|5j@}Ld7tGheMLj#S(t~?0()or-bF7k`i?_gz$QVfr6&CCA8Zv<|)2X#G3qw&n7N>
z=o~n@5wt;ui}N;}+hGb=;3+h9`3omj6|GyWRgfX7YqY{lN*-&@-n}R>&5WI1q0?JI
zWH`Yxyr%t07E_#CrAw#j@X2hmL?90t&g{<(4or~2%!J%Z)!W+?UAoEork4PfHkMb^
zFG``pRf$&Xg*D2Z?ARn5X8=KVF(r9^2^{F-{#H%-Ny+x7GxHlH!NpI`E4eMAc&BK^
zVC?lQCHOC+dp92mN+N>Ie`X8ggNH4r0+lBzrTYdFcI+)6HeXS3<-Q=6F88hUTo|Vm
zI`I{SUNQ&f#io4gMt=O#{UlBA_$Y;kaY;<`tr^JK_I^IY%ZEf~hYM3~Ba~X>H}^Lf
z%)o;9QW8>mkXwJ*`0?5ZrRK4}ko6u@h+~=;JnGDa7wosXFDQ>u<Z}6*+Gm=;G)2jv
zVu&4Q=9i~!>Az7P@q7PLoHT~_&T+{LWvp1rxG#_=<U1wib<eAQ6Jrn$vHu@?J2T$1
zNEJx5n4&1;{&;&R-3T6L*sXq+XTsOBeN7*OXDO#B<6gIx4Po(K#n+`O2DGSVnSDR7
zK>0kKRuFW+5F!fETr-6pFCWcI&a?bU85s6^*;s1;>7pwZkyq$YYQK`sEy6E~R*+9_
zs)_-;Gr3(cT}z8Gt&S6a^j0akUiB@7S^6+|`J)!A1T89d9sew`?>7Zc{`!ZW+EX-6
zbDh2ahz31GZ8I-k{6qO+Gb4NFk{-xBlPqr8PlHxNt4@`zo0N_Z*6y}+dT=jeuMf8}
z4Sqa(x!g+aFD3SPd9ZjQ5gzdR^&FC*LEh@UB{~Oau*Bbyg_VT}t679=(>gS0#wCzP
z`<ND)>;JytyQK>O$90>00%>qZEvUPbl^#6`-N_^=U3i&e=37-sg98d`Y-))NxIp$W
zzyDkZE^(c7aZsT}ruP~9+69=fCirlxv9%6-So%HI^okbewp~JBG%(|Z*||gdBLq0}
z*LOzFn+`up*GCFoXGInL<e{?j1o-~rqvjh0dhD-LQ1FXkM-Ii*sXiG3%nunh$*?kD
z!(dLV*>z4V3O}6HeoGq;bF~!Mb1>qN@BNiC@3@iJ=lNKFP78Vl><GcyO!#b@J@lF=
zFV?ONRNZsdf>K;A`yIuMdI!w{)q?o&@$lc9O^uq+e!n^9^&kuSDs@LUbns&iy>i@R
z(1gV0=&Sk1*wB;b3E$NNf*70RT6y$?26T<7nQTgMpi>=<eanUr28xW`bq>;iJR_S_
z-Azv1y;0g;+8~1V5e{cq`87Z|<h|u89S?e#-pcbU6~mlIt$smY)WPeO*!GGvFK+0H
z7fsemV2I~kudGMv(3zyOhuMt}GyHBi&#y?K+D=HV+zoZ$ii|bRe$0>ck&hpJE0)1x
zrRI>uJL=$a@K>KCzaX}GE9VF=$>PkrlfRuS)S>@Lt544ZAuPI4AjoPjkCP?I@mw3~
zFwR`m_I;NK=J0&|PoYu)qnDE2dirUAI>C-to<j^thlkhYjg?R_@}<(qng&F)RGMus
zi=)$4Roeiym;5oiJd|6d37MZ~yj}lDVsG;V9c_pzW|!1nnJ?1<cw3RL$Ss4LYzGrp
zdDZbOOR#~#xHiP3STC^<WYL5ne<r?G1H-H{1N^8tn|W-o=D)*oSg926oP9(KBh0&d
zD-(4<gvLC{h05W#m#?un{MM%Ss(nA%6LcY{lH>2G9tG5#zt`DVNx-kt?ro`sM38Y3
z`(!GngoS%u->V+c!MbjqDys!5r+pC>%=J=6!3zOGeDgYJTkCTClZOG=9{q4E<*o|W
zZMB`%bJfN3XJ=E!ei*{>hr(GSZ&fj}(`;f_nlA3*Z<S-ZN%a%jUvV$`)zJKqGkfM8
zU8HLpj0>dtlJ~vv;?tkiQT9C}&G2DeEP1efyo=i$0#<)!o}%`~k16jAS*EFavT2KW
zzgU26<M@ibg(mJ?KEJp|)WM4^AwjhO5SM@GV|<||&V17d<t7ubb!kF8oRth{O#S6L
zG%?iCGI3Bt3&++ZBgSgTP|7UpbnuNPmT_rVImN1D<SU~RV`}bPP89U3@Y2L8V?wRz
zWfjzriu)qeW(oX+om-bt0~u|t<39x}A~!_7niaExcboAi%O=&4xgy9?)=Canq_0{l
z*;~QTd715qZZ%Z5pQG{cl)`syvDby&t>Bud;EQkRs#tWVd+0!d2=;FOy;Qi%3aWWs
z(!HoX9QGS<?v~+4QP)YPejzK+8kQS<U!sKZzZaF|vN^Eee5|>5rzK<-<<m(BD`KXj
zTdt-71J<x{#&E=0!oa{|k!R=RkzV+rv82)lrTDs$UXq9<xSA>?tPRSdW8;QjL-8CX
z#4Iv%ri2Vn+D2B)tYxsB$8czi)J2Jpc4B;MOooLI<6N6(B=Pe9tiu~5nn`CKIJk^A
z0Z3YM8MIS*k3r&_-RAXCl2=Fj(y4s_44j%#O(=||u9c%ZHB%(t^KU)nDoAjw<P3MR
zsvxdP3)@Y&E|B5{5~_2k_o!HspHcIc4{ughhlNcqky6GVPqZwXgXQ4fo544EaJQ6n
zQT3Ofq=QedNr#A;Lk^eQ{xm60%zu#~qQ$>VqMR2WnzA(m|AEgDEElMpKexn`*7K8;
z;lQ!rcEJ?X>Ua5xnKI#Tniz>i^Pi+ng(CgTY7@A_mG&gni5{yg*w7|mi8R<y79X;0
z49jwfOUJ1G?0?;TzhTP)iOF}eCfUXqSaUOSKK5-<E;*@moxeRtGVR0M`x!<MM(&Cc
z`LIr*YrpJ5vuB2sS2Q`lf5s5}|5+{TH(#Y#bkDRFGfa^RX}@Y5-DL=OPq@xx$Sza<
zExDvR@##BB@eF7F`2quYy!nNurDuV{d$2J->(w_B_xdF%e`W&+&ZOlLl9{2T(0P<d
z*Nu^Ev<o=~PU^!-rAD_E+azVrW_jIC{|L#4Gl8>sNDu5N%k44=<CMz&$qA+FL!<{k
zt-K!X)uZx&T$tzFFeUzOoW5*EKPjt5NIa*J2%JSOzm=c%Q%;p-<t{JvkR0~R=7yUR
zA?oLIHVw6I${neltFzhvk;Zu`AJ^aL!v6sP0RR6Cmw7Z*Z5YKRnWu}(HP3f257#`L
z2SuimR7!-%R8b-lm6XVwp(0X5N=lKWJW41tO%j#qQzB&y)#u-{-gVYK`(0=6-!9`(
z?fYfhUBB}TSA@~U9s>6_oD?<Gfy4H}2Omtd*3V6SpLXr<B5Yif1#Umq2Ei<c{SS1T
z>N~b2iF|DAAZVvlzg)4@2A3P$F<BcM>hqkM3I(>b5mj!gqCIU|Ak=Svw@9?Mp43!t
zTfF5JVS78$QfrqMcsaZ7if*W^A4uDLKk`Wn@w)tVpyeA)=pyD<{2NQ__j6m#$R#xs
z(|gwDO0Q_Z>y!|ZvsrGvtXqQyS9KFnGjRS^GhG8r9U?PL>|^T7I{$g3F`J0;rrmGE
z+|)r%{PEs_ucwLamTM9OS(}LIKDAe48EVj0?RQ(d<r3i*YA8P{-b743X}iGRr3!j~
zIt#iKi-@eJGaW$@O~kTk_pv}BRmkWYjiZm05!9ulF07Kx#N714ueUo@pwCZ0%dhw@
zp||k_+gg?uqM?U7N&5x^J|qTCKB&7-u-~>FLh4I`?Cv_|x<H5E<_;r`=4zrrHp(F`
z^%dc;jZ&uONQbkt%an&bj|lY}6+`Dt+6awv_NS6dXi&M(P{aIQN7OW^YW-2`AS6$B
z3%j$^z$T!L^P2z?0>?kCkJarWHgILFiwU4Y;N^$9#dQsYgpFq1KzKJ{_or*Vw@VrR
z1-5!|#y%$mrWc}RhkJ;L`sA}#rpmC?UHz!t_XTlHC+Ub=)N8`<Waf^_TS}mFOmsu@
zfo7sucwd*c)m!3H2$RAgs{~bPbE=C4F9{#D<%)Oa?+JH~9m$MrMaUNj^C)L+Bc9c%
zK9CRnK<H_nEo3Dr!Zpbp$?Uui;(AbAQQGK7g7e({h~udWu-Dqf^I&Zku_<eVooC)B
zg4WoW5KB^k&4;v<uiEwy&us^{J8b?!Y}v-BUy~ybrBUri#aLbw$4-0C2rdl~3F~;T
zj?2me<kia@8hS&hdnLF{_KXmDzQS>|+j5Y_!j<}T?j7Mc7ESIO93!+YOT4~oA_tsX
z<t4I-55zyA4hwI^uLO5TUDdBVS@5OyMJqLZBq;Y{`<~pGARe&hJO6Bv0dksx0Hl2)
z&MPW@><gYE?wnSmZe5m!mcht@r_Nu9GknZe!{^gPiTSs5GE*AdhIjBOaSRisyOYTo
zk-vzg*8`eFs1$hW*B@B<Izkvq+dpsGGfUV=SKs<lBMD9P+q;jk{70CXeVo>cnkTAc
ze)34IlLR(b51OyjSAuHTxcH)bk(kL;JtOTZ0m1fiD~!(*gk#~*S8Cugar$r50=-fk
zZZ)Z%o~oWAE?sWfS!w^5U^yC0ToM+C*Ew0a&QsHbsjw5;*R#O7nfbV};}jSa{?<e)
z|3&P5C}%u(h80Q=)wSQA5`$QO<)ys5Swdx|=<>%HHfZ&)5PT3I22;@wn)f}MC&ps(
z;?pYFVQ!-aeQ8P*1}}!cj8ytf962NSTw8_<*i1^f>Q9KmaI5_HvoDv40>8=E$Gdre
zS9l#>kQRl{?@tTP*8C-&$^PW;>EZ`J`L%WXUy)%VaK<|94+|(p5xb;?NN}!xt#Zvd
zGPJ)*JFL^j3Qk6o&CG8?uw}w<BEpRf=dKq!U1?{7vsSGecg=~w9+8~~{jA9lqRtm7
z!odNGr}t7~4aK0JgFln9i45IQdA|c=xS)-9lIuf_I8>i`Cao4hh6AtrhewTgp@={K
zR7I2&aC7;7ifttWTMtK%E(m~<sFJkJSy?ccEG9)ei9+Uw;4kV9Bv>&>Khkwj9{L*B
z839QQ1~hHPJC%gtm_(p6$x0DEsXpyum7stGU;dR6buz^Gof1g1PzG0K_?w-P;vm7j
zj?E%a3@*y1YDxvsATBIh<`hUmwKrt+4~T<_M$=RCdInIBk-IWZOT(LzpPtn7Qc&@;
zw&9M68eDb#+uyDx2LfKUqa&fRaPIThm)H6=AZhf!--c82;7G81F>#QGqG+cdCt9^&
zs-Y}SL_`S=O6*j;zN`RTQl0MAS~`$Yc5dPKZ7M`QbN{)vNeS-c_79b3>Vj>h=@pq~
z2Ar*}oR27>LJoINbj}156py;(4IWg7&Jb?PiA!{lbacD1gQ^dz%ujwh-)aGqTz&IK
zrV5;YEORzf#{gKU<ZxRHU0~hkOyfvWgT4bIvm2KUVAD2U_M@|UKq-2)*6ol694VL}
z@dp~hr9O9?u2Dk}Ivji^SzHS?c1gP#2N*)dd}C1ST2lySJL29ps0HJj=e(Q84B%P6
zK^&VN0ed$eTa<{=hH^WLzLIzPa3@+!AzjS^u7sYtnL4QrJ|_D1W5#-LR@FDAwAd2<
z@ipGLqof0WKP=rVm(+#h{2cAFGgk0pF0JQ?v<?(BUi%b~t_4yX!i-O`ZGh1zKTFLw
z+Q3ci=hTQ&g=31vK_l%OAU@{b^pt}(usB_G=Sx+FjQ~<Wt-nGuoH@4EaP7{l;IRZP
zaM;#(-*mSuIA%W$E{w2-y8D_MQOcS?PmWRTHWLBU>MS_{Z)^BdTuiPXRfD)*p70EJ
zHb@OsXSX6*1NVSql6{~GyeFRXqV_w2r(xdb<An`Cmz-*Bdr1Rrrew3T*FwFbB4e;>
zVLdqQ&CqfYSB8BViB+)&IWYU}+d&W8^{^N+vdjolfcD=p@onn`G5_X2N4*PHP@xe-
zc3;iEIit}nie<uRZg8eSc)${--b9WD=1PE;jy#bfDvI<Oa{qocOZY<HkP<vh2K7x|
zGlh@Du)oBZ_ePuryk(BEhR2XVD@%4XrJjP~^8Q-q{{z?<%q~t0b3?w%c7CnR;>ctA
zw+FWYa2~T==X886$do@mx+_5(lL%6qV?F`?BcA)+6MhrkzMH)k&xvDR$27z7hB<UE
z8UD`e`9?4m*~2sUies?m=!3TnX22;op8iq1k%&*f{+O&Hj$@D(De}V<UOoC;F~B}h
z&(@;#J?<+7HL2VG>8Y8*pw81ecb4h;tt@WwFK$sVm2rV3<){geR?3Qr*9-Mk9!;5s
z5fqdYgy)5w#^CHyCV2P#-+H=!wV1UF1=-JbuW0BR!||4&zrvZU`0Wy~by!jG#KpUx
zR11xOeuPE-`+;>xYfiI2ZA-yF-cS3VQ;a}oscKK<I!>H&;$SfSDA*fKdf|M@5I&T$
z5_|S>Bjrj-8*4rVgBEkc_b3>G#7clZ_hnw>eSM#nKDDZUk)D%%-vEYzLHc%+ACG?F
z*HYLij_R(={ud4g(6R4{hx%qgT=*J%qH;hS4+<<yyqnYq>%4DPp#%wqUbA*_9hX4H
zj)mo}Y<*xCX}L&e2%+(CXk3%7B(?|M_|s~m56&_fZ?*^sqZ}<$*@sOEQ&c*97FqP+
z?@(fW?yNAXpWBdVHYtURm#SSZKGTB?<K-OBei6)`JFItpQX0Q3_EY{P>4A4}!?D{h
z$at_y#?^yO7EKtto~L^1!JzSvN~jXW+*^_X4iq_TaQpG{v6&uJY9#e#-4et9!arLa
zs*%I#OG*)Il=UD!Hzxn%O$rvr-j(a{lE)(d%iP~Y^+4w~h4$yJIKGV4+2=2;fYvds
z>p4X9!1?alrOXBi^cUk%5^7VxVw#!Lw3HsaoIeyZ(=Uky&7bypB`RXzj@C*u9X+tG
zYgHz*NaMoIkf;&|B{YuDRf%)agQF7(`>&|Wpix*!-MFAK?$55W+!Ut=58Y#ackY$N
zAnx3&Z(b`StyCadWYq`9x}d^FCpj$Lq%rm)i;C$d{`}MB*M~z9_1AKL$>AAB<Bw`5
z8g3K`>>T#jhkh&X*nn(#4AgBqwuzOFqnB^i(|h#6yZ=bvq_F~y6!^>!-Js)2_v4c-
zwgzB$VaJBDK?StW-El9`n1TD>oZD^MX#k3ud@y`M5nJTlMsyxA(7GV*Op%u%$UCG&
zUzbwCbo6A_%c$Uq&5@!{{u#og_@6z`DwS}7cBoL>Pi6H#%94ItVgxli#g``uW!&y~
zdb%$~1(lwi)acq_4Bp+bKWZA3QTyV^nZyhgtaiQhQ-;q34g@I3-qxdH$n0!bXRr$H
zP8s;t(`W)6p(dZ)E>V$kzVxV~vI>UOs2kpjGKICFj4vm?QIW|}dr`WQfo@)T4w@Qf
zFqd{DkC#TnGpW0_W{5E`-L?05=X*1N!!NHpIMVP2ZBqXF4m#G-_XYAsn1g}EdEP}g
z8pcgmtki_jFng=|-8@bL!d@2swQ;6l2>FDGe>fFiwH^}7i6`K`{*^K|EgDAHd3-V7
zql|}R>;GN&MZl%(j~kQbsQ73!cJZXX6805&n2#s|jMiUv>$y(F3n$u#-?J(rCnd~-
z#|j{=U{-O5DHW+DoJ*{&^7yOq_3ni2099P?XT?_i`P%9ybv#QBUA<b0qdfr1c;8h<
zGL=#Fo>%yhE*U(!#^kJv8^Fb2Gi%LDO1OTEsXU%0h1<RVJgRjBxWW12pY$(96jOe@
zZ~lk`@?3PzNzn&Lui7zbVX25-@s@Pw(-idi<>}KU3ZQYvY4}2t0xBlRl|M#Nd?7F!
zO8rE@`P*apzk22I=CWL)q!t+uIM)k)I!(ZpdY@kclJZEbk5Z}X5yqoOYKMPF6CmOk
z73S?DhntFb%KMZGVMz%06|V|&cpk=o!N5lrvjrrck5rIw=5@q<5o2>GBK5jj^UB~$
zuV){`{}aUfT=JJ|>&@Vd?vJ~)Mk%~)8J@7&UJwWMfw$Mf3<e_F#iLUskzPX5nXDAR
z%+GZRw;N2sf0Ko{+W`q&kPJ&GmlDA5a~86GU<w~6>t4Eei(~9&x7LI0{P?r)*saB<
zCcr)>T$6B+f;2IO<UddO(cgE?ytcUs@P~f-`yfLMH-FjQpFY8lPAqN0jZcjM^@^XG
zc8cO5uC+6hjsjTCUQ@fl!WeG#@U6E{5=B#kCmA7M1aMn)o3&w+5%Am|bGwyJM&hCO
z4gM{Hs67$6iFcC`@W)F<8;Ox|DezJJrY1ogaMymQ+-C?s<=isPKM=t!Rp0hWZ6;x6
z=o8ydeul8iI@m@%Km@fWo2LA}k?_~2mmSGV2Jk0uZ%;l`1l1mYD)P+{!Z{P3hS+oi
zs8!oxzFSlT$LB7diQguSPnXXW@v9qv>?H-8VLlNY*v<dn5hW2!q4)}&Zr2CDo!|N%
zN{Ha2?xA;U*vJ?UF7eDzeR%#d*~!mT1O;hHBGg$j7P1fji;~fYZV#jA#KR&eB9W3a
zGb@UDQT{<SoqDjw_VdN2IuYFebGbT+oq}N;dzLoG>p_`&hGM$}8SA5%_r)3FNO`rz
z_TC0PXi)i!yOPM*7WO;!$!-Zutk&~&;n9P~`#eSUNTRqu{vB6hp(LId*j4!WJrmsW
z1j}eQMRA;^GW_s@6go!!(mryB30K8*@ZVN3>`?vgW#%D+r=9jjh$b_Er^-exo<zZg
zWuorL8(Ab3+Kq1rV}hE#0AI`(3Z|3wtyJ#FVe<uL-@ATHXm@|<cj37>HuG65_eaR1
z@T>hld3~8sZH<?AKa{{5zqs;Q?G$jR_svQ1gG@N-f1udDP7>_{Y0^n@is<o5?NQEY
zCRlcAIu&(G;p~uMfatO!)(;H%Z@j?-69d>BGB1sX&%?WscS@MCH$8InEfa#y6=WS|
z$l~#%Rfpa_P)3<8I~WqHeUyCv-|A<`;qmbmNsm-27B&=lNBZbNA^*dq+CDj)<#|^g
z?L$M4igfwIt9{YQxb%y3S{^^ec>2H4qT|t4{$&d-eV}JqhtM<?aNam%+s<h^npIm0
zjFqqU^6pPun?EYxXWh;EfAbmWdA)CrdsSp_tM`q|=M+(JusTK4PzAG!`p&MrH2~Hu
z(SZ-zt9=&mehoZS!Qttgr`abB!I*Aucm0hLHk(k=;>1+(Tz`y<k-ic1Mfyo@J*14W
zj<r^aE~>b0so_igoDt;k-`TFfN=1LkOJ`gHRWX^pF8ySkF*wZYQJ80_ST1(*+0|{T
zsCmCvXKTC()P+=JlrK<mlEELMBBF{{Df_vuIh(@2_m0xt+i6%;@QC`gNCiJgsLaPn
zm_goLz&fd`G<0LAys+R@K~|xk9%CQOz^9*elW#W-<3GpLDgp!l6BwAQNHvE&g?-}7
z<21bI-7?7QL`P8%1NsV+0P_zKHg%&k+&l2QY}%BDrl(HN*fbMRwkF`CYBLS*3iSNP
z%16aiB~<H@2Z*<y*>F6WhWkuP5(1i)Q1-grf#IzHjmJ)_q#M!jt>|>^$52JQY`<Kj
z6bVoweKmNYjf!Sr`2pq<3iw-GIA}vUfZ=$m&}&;NZhLzvS@)S79#FOX>yZagoxZrO
zwNe>fvZr0sM`cjq-ic%5mjMcDFCHG^Rz@GUJV|FCDYTsJ>nKSE*stZX-D8^)KCL)s
z`GH#kf4H~%7lZ+j>gw69WhtUknc)l8FJgFW*KG09s?L(NZsYu&3b^5Xx9!I7WaJ2N
z`L@IW`0TTJe4I@I_diP(nA8-(=&b<-?LSw0u=QOuVJwfOPrjQQlnY^ML+0bf)m|tq
zY4H1aNDedZJ>zWHOTq=gvHk751SGWlkqp@_ixH9Eo_DS0p^hHe>tKpG=sj%?9vhOz
zrB`Yny}t6J{z*QO=iKHX`9AAS*)b_REWKZqErSnb*5)~foi+n|k8K9|R7n)58?RWG
z&5QqjY8C(bZ3<xzN(%mri(~t;I?KgL9_%^J78(+43I>Jxg(1%==n*M?jU}B2h1h$$
ze~y@dux#%RiHBmS{mWkJO9T&A>&P)SxtTy=?ZW+AjiM;|;_^yBJ`d{Y9$+`@HHMM+
zuC?K-zPL1r{ft`X!G{})E3F)jfl)9ud0c~x$pbBBwTZlFNRn7T`O*k-^YR_y6GgE6
zeDD2q8$K)u(c;dxH3HwIHRm;0MDSpk+;4pie)PH%x$$0`A<VMfcl@3rjFM(<vH2zf
zxaQR<n~1H3P#_}fMAa9@W8TxEHTr@$;#AmbHfR7FMlsxQP6!9Sm;YP-EQs8y`W&_g
z3_$EJof_RLgyIu7&vWOI(3QtP_A`qCP-T-Ax7G-u3r+sb1wSEtV{GqgcS#>IKc`Jo
z9}A(+PAS6^R>HXUgCk3izCPHk@vuGED}+&H<HKK8?_EHKUAd`mmCp}(vEFA9#-Kyp
zwsUG^+{0<Bd^}bU^c8Mdq*)51T50kQJ`+*w^8TW{MOzOB5(}=~zbK3vO3AxYc8TFf
zyY%2&V@#mh+&%e`RRqmEecgu6Q}A4i$;0JqOn9&)Ve{dn$ZF3uRvqXR$Ln*Y4o~+n
z!9k;;IYEew&(bg7j8&Gz$K9s1<2p=W6m84wen`fVoikUqrmXVMite*kb|x6;Ki+gD
zL=>;vxpoY5$zZ@u&-+_ObiwfG;-`0}VrV;GC_kSgixZpPeZp2<7?o2z<s(JG2Far3
zm0UU0EIG>f@I)8R?(07xDj<&U1`muMJ0gz{evj@8daMf}RSq{xL?kd_;p@+bE(+-T
zU+n?M7rG!f;ptGWCW#4MGeKo0ipcPxPkMgTh0y+Oo#(epA@yfV;S@~?oo?E6Caht?
zE5W}1{L`heG{`Xck(e@8dL{Oh>M=o^^T$=GkE>kN_$;KAlZr2gr}-{KGU5F(e@v5*
z!;Onpy}pZ7beUWy&C$VxL*=~;%XT^Z8Gb<Ca+rqO!wgyqboF2tzn$i{IC<pXG}oB&
zf{q7#t!a&AdN8#y_B1yrAd{up{MTg$MvTZF%hJ^cr5;J8z7++uEWU1+<Dr71?QiY+
zS2<xsLAb;8ks_YWzb3n$M->xoD&J2<7(hBbKd<eu5^lY%a62Yf6;o~G>`HVEfoYJ?
z-Ah%*#l)+VPr1~vmffak<BB0H1`0mj)uW8OkCir7IH_Sh>D%nlE+e?It?IbmVJhm-
zmDnPK)R5$H#?_$Q81z+Vsp4yCcu;)*B4xW8@{V+ed`~ffIX6$%ho@**n$0g?&8LRk
zn!8;?51E2!y`9y-HyXO{-aY&?O%=CWuOkyqW{@Mno|$Vx$1{6>#L_>j;LX1?Z1Gfc
zAVr;&3phl_{Oneji+>m>;-UUE=7%|0*r#jTCepEJ&}zhQl8zMTLg%a-1ngNJBTvN9
zF+KWK;@K)1HfF}`>RaXf_E3iAGfz4u8-%C%xv%bk@pz|4egHcASk4K{(2*f>iuKB*
z60U623NO6^Kv%GHT6jXku&dteyMq<+MUchMp+<mB9=iq{Eotb?von2RLLNUCJ@Kav
z0E|5Bl)G6@#iPF`1NZEg!v}R)q4&mCbK5quMr|z>XP8YYo<F7WN@-+>>JUI?k$0w_
z^{W5AHk`GZl9=S~yXJBizy`m)7geH^ka92U&}=>hYqT#<SltIWls}oer&tkBYo)Z<
z+lb=XwG8D;=T~>Z8Rm}R76lxexm+QwA%Y>IjH8mPyJKCTim&fidHgT5a7b~x5T+;!
zgxRh7P^58}cN4cfo>a8%@2D5VE#A==Xsra$YOXEc(vZW$hXjRudihaud16zVH39F+
z`g6Bb%HUI;4O_ky@*-=ih%V!?IavO-6yT&t<G#~2QnAC_nB7>S{ZGXlcuvJlQZpoR
zvFdq_Whxg&3TiWYa?Id9xu_ylQ3BVfB>XGS<-{vnymZ9Zn!zvrM%9203hwFo@LK;L
z2eOs=6>uFi1>@FqRozT6+_|xKd+}WkG!l2*SI}nyAC4tjeGC)D=Bpi=o+TV8t8r_k
z*xCek`^g@BA4<mauMUUi^>d(~@TPgJG6qkIw2eWE2>OR_4vMtqM7Ou`ze8!pu-=VZ
z^iiWQ-h1=tBJU6<Y8-gk$;dN;s}}OoL!!cHEHXUkb(0IbDwIzcix|Q5d-sn#aY8uW
z5T_S<ksJRIN}<!Kh9GPAPw5EH>hopVb&1<NSh9_+HA%n_JjTYCY;Tj0L9f5gGQ^7-
zH}6l_T`+*J&rMxxd`Y;p-81W)AwNo~B!uskG=PU)a`RLAB)r+?>{xe40P9s{U+|ae
zgVe3O4GdWl_Se39DS1s0$3q4=;*IoS{cu3jeQ6Rt>|Iz)I8H)|zu)AzyY%4A(7o{=
z+9Y)Pt$X6zJ|X1u?se)9(gTNDk?Y&tNciD(TvC~rFeW`=ZCcN#2a%uaKSy37p-w7A
zd*=ZWgtZltmmV-7?%lx=w(lfti8N@rl1Rn?m7Xr9Hxs_~@2-06EQCdel|?mbMRB?_
z^YIDMRjw{*y%yOngc$)JI-jqIq5c)K$f<5!IG;}%(%3DG`K_IXq^;uk-^G7#)@JDf
ztJZGIfxp7|)3f;4gC`Q$%a^a<?5PU{-S@^XREgkFL5>T<ObUhV&-xu_>VlNdg}(tO
z$v9uu@wBE}8f`icx*G`TLTsY7e#9P83|_I4-xno|M^|FG?Ur=l&(-g1x}C+)y<*Mi
z_dGe&e-ZUQc~S@7z8KnmbQc9H2vc39v#Wh!{$gVCyAF`Z*WPXo7ss7*(^a=36mW02
zWw`He9mwULGp65=SncIXhZC!O_%}zUaz$7d)>u5BI{8%+r`>iW>4qs`YS&Z6Ml)U5
zDQ(eRL`b8T*VclOC}kY_8vn5Us4m1EzHD*2L<Y-TJvS<^a<s)SJ_p6;y09f_YEPGd
z96tHuNc>pk)9PKnh*~)&9A1BU$C_R_j7dA1ot;5PueHDK?M-LG@QV3)zC3w!qv!5;
zmcqcqAt|RvWIYfud(*KiKmq^Mgs(Xet%7RFmp`%J(Ss$cr;la~74a)2;rkC)RXn<V
zfULbsA3g}LlZ@qD)qNztR!UM0V`p1`ToyL~RNkxRxVjg5xi*&iJyFBK*%=?62?I!+
zYZ)}nQ^pTnQ4f@i)Nz-Df^haK7riUmku$uLir3%U&b^CQ$Fm&bs)>({Al=I0L@GB8
zeb2e`<y=?Cgo9Swf*u%y|9eX@pE4T$r||A}`0Dxnfq#j`N)r&=yr1*99vxd6H#}I@
zRLA*8y9X>PO~I&6&qSz{j_2yg$#J=>I$x`fyuNJ)zk@>L@BXD@+esy_E3Z`XNY0b_
z**tS-JTb`aq0d17W%7G%RKd6JTx7?N6Hse07S-**z)_F5(DYLbym`*eu3$9})$b(<
zWUcOvdD51PAWBE(Gi95+D1dDo?{k$&3=9rQRn3W~V%p5w$mrGlPgEFDSyN9(ylbSO
z_gM*rpM}bfuK?V;x38nvo{qa>*gm_dD&o$q?Kc#ZEMTqm0p*jAXqYXzaXqohCp4w<
z2vK7T_=xFttvoc$o#1GGo+yhpJ1uM06BdxRqdCminu<a_he5(g3IjI#Y20O6fV@U|
z(Uk+rm=V5a^s|jP_Jx&>)l06vpS^nS?-?aL|JIV;7cGh&@yRD-<^jSq1chZX6)}9i
zWQepRjHJHag-b607;J+E`|}j=e*gdg|Njh^cQn>*7{~2BA3O80w`bVvxe!8yq!6V-
zsbnTaDWM@FWK<eRDOqWX-xZ;dtjt~|B2f}TqSv4Ib?$SWbDwjc@8|Q~Z{J!h^->u9
zSc3j?Tm<k@tT87QkdfKh_(IEFL3Drd=$?iXKyrBUME89Kycr)AQ0dQyh0Y@Rg=_$4
z0-3|uBjmBw<!N?BB{!b)xm@@moB^yCmELsUl*O{x5&!3joLG5AI6J$~61*SGGFN_<
z#_MM%N~U|*(K>wj#|;xpxcIDRi@C)*biO4<KcCHpO_6iFFLEp(YyH3`jfaw0f9Vc?
z(hF9Utt{!>v0x7Bt64N}I|)4SZqC8glofUD=K2b@nFIM~dpXmh7zQOV70t4<qJ3|N
z<FO}ZkUn3=dgrw$j@;TrIxEJCrR$VVC9gAsvePLoyPk@md|J>x8(&u3qt&0c|CA~G
zzE3~h(@4Tu&C$$^Ay%Xru1tkZn7~xIYF*&0FmeypPl;V%!`sUHTmHJ6fX_+<r<H{;
z?kb^ex#Yu+2j7%|ZKE-~e&Uq9t3U{+s?V#8Y~{d@Bf}oCrpEB4q`s_5SqMpNJriFK
zaiXxDdRR}T5tOLa2yZzhh|RR|fqeyBXzw%sAXLu?LfwK0w+R7co_NVV_nRAcB{f$?
zmK(w?8zOaYoB%$U>;2Iiz>A?b84J9IhOpAQkL!km0N!A~6R`4&56xLkE_tB=gpQg!
zZ?h0UiJsB^-m3ygxlR3%>TCddr6my}-U3+G*C47+6+#w)7xo`V^x@bTnSP^iZT{Qg
zSD%tFww=`=ojIWo1|H$Dtm1<Bt|7I#Rh5KMV&ws~GWuZBU#NevOc4D)3-`~MilE-K
zSLD!3I@tHgaql%2!saaJ_nUT$;^`q@e)AwYX!`m})|Lq2?>p=0^H;=>|G+m*3wb)&
z6nC%m>kDIL+%1B6LL9Fjy8K{U9}R5zr`~t93!`97E%n?+NnEyjEhLajgZow<nIBJ)
zuycyt<YJ=~IzMZpF7KwnILG5O8(R@nH2!h%*LG=i4BW-vOsBz#^Y8iH<V2BcA>l{}
zvn&b{ay!ihX%Lm-l(vsg47FLTY@+Jr@cGikKbrGYVEMWFu1`=L6CAxIgq;<z_`KSy
z#4#$g*UNCvs!QOzlXDs8Hjr^5UFMs|C>1n&A`VS%mqa0R%j?CP6w#8mMz3y~3K>sB
zgFCNDA$MTQ^XooJ_)W{cbCH_{L=jj0nT2(jyy#FxKB|nZDy<po^=ZIiNo&s7Cxfpy
zc3t<+QNhhyS-cm6Y0#XVc-C}E7I&&Q_x!6>McUTDcl&GC<_%4n=JE2V8Wm;QF|LM!
zS`CID73fgv6y7_YrGV|dsWCGG8b~VkmN}P0ht~%2I@aN2yfdY!enU?a9}S$*@=?`?
z#Noi|40lD`?d0>=XuTG8bg$RpY0-xxo!9w#%#_et^2|FkJ8f*8t~l{F(E$8pdD@ed
zl(E{{#@SC-2Y;>$5OVi4gu=ra%+=f~7!wzLuXRob(^7W|Ua>NQyCO#aO?^|r*D5pF
zhL?2l=qn$~S_@-XrS@bR)T?5RUAk!CvMwGk_!~OyXaa3d#PV%Z)G$%o@O`nC9`avN
z+rG`;6eg*+B@*q`QLI;Y*-2UtGqrDNik~wB3Fgm7;hQ=t&F|@OXwb!Q1N)dg56r=+
zd!1`Xs0J3j&~+G4)x~z{cYdX97I6CCHph{E4cu*=C_T;4!K+_&a_2`aVd8sOUa6cW
zF2(R!pB2$Y$4%5G=?MmePWmPqS!m+-@3|tc?r5S6w}-0E0f5cF`CJp|npl<1A@-PE
z13e_4xO%h$WQqAbZDG>H%K-r|KN+jx%;VarLS-u$6z%steOm)#g$|jW+N^>nU;LQ&
z^S6RnDRA&r(!gsUZf+^ss)P@N{)>BY$qM969SP?X>geiH{ms#njNOkVeisy5!DFEf
z2BuHc@Gz*(_IJvmph8Mq?*l8~ZytKm^<EWU8_qs`rXY<92XkYd+^_<kE;ZZjLn`Rt
zVdHqJR05wK=;@a`y|$-{_Qa}38JFC`G>XrQVkEcbq`_7z@V4IQD^#z9S>5d!AD#>2
z>q@&pJ83I8(f?kN>z*PCkSgSJE(+j`im!4`9{_v0pEy?<8RHpOB?>%v@Y%@mNaqxQ
z_fP!z0*@(RgY(jqUpEI<Ju4pYu>>$Rznaw5C5N@k7P@`&thjC_Uv#3I0Z~KW$eZ5C
z;F4*3|3n!xZV~m=Vo_%R*`ea8e&0GIpYV6i8UIHZzv!0V8D$AO^|$kGW|P9kHuY*r
zzZK%c;H}|-CJWHhV-K`-k-$a&+=7nB%f$Kd>nc+c7LYk~_;P!V7#eC^vFWM%L%2DP
zh?E4H!?;j)X6GhR{2`VhnHThj&{-_+o2)Sd{=a=gu}mVk`$W&*qc{E#=Cylfti{Y=
zf1tYB>G#4Yp{o6{*=Ct|n@Y=)2{DBe$xdfQT7@vD{QNnR!(ZZ8^aOi-n+bg4jVg9*
z6hvNlXV83eg*c?sTD_lY0%{E%H-~5fh<6i4%ozU&@BN;rmtzd+MQs~I2l?<=TD^XL
zG7~1|BzWqv8bg{I(|x8Fytp)EF36qDjC*Ug`A3BrL1kv@z_U&s9M4ws4SmLfy{9(b
zksLFGH&%!I56keN^vja5-LtIN*;L~oyVDR3hId{&n#GM?)(7*o*0Uo+b+tKjzyK_N
z_Xh8?<VFr7#p$;D99aJ>G(K&I0sI$v{5*-ojjHY%DI=O(81U!WPnBVPh|M{;HCvDy
zx4%$KKU2qzbvt&n1s~K0{}(I~dkna-t9kF7aRe`VNwgZI{-MK?B99I=jvHBfuOI(z
z#gCdVtE);<=)kUBtVEjUM#FrY;~#Vc@nN)o%#s=%5=9hh{gQd`&jb4<>pUT>7P<4F
zypaY1$`1p29eJ_c^CQ*ukudVVS7?zuxR&#|BAtFZe3;mBc}LPG5{9M4ZBG!Rfh%i?
zmx}>EzF+OB4p$Jxo7Y7OJsPRt8e?#XyjK8&U4^VJM~Y!%t3n6+Nh&0@rG3eJB8YUZ
zZL-m$;;6Ox`zpzT3bQA@ZVu-Pp<R>Gm7;@^c){R$u{0YM8oG*Qb{!H%yTGywas2CW
zXZ)aYR~H3DUz<7nbR%KAf<w7mi!@f5|54(6K!MJ<6>xMF!Jax7H<cn;l-b=#$xoxe
zW=deTs=p{cG4!&lxGs-BA3Pm>5K954IhGcaG%@5TJ7j%pKmqGk+HP-+roi1VY!}qJ
z#IaRkx%>4T85Nc=?Q=W@rnXu5M(9eS-I*;en`D(x{z;Z>LmmbEGGT8-z7&4s+;z>s
zO&O^vq;Kb%C_uh8d(2Qz8f$(o1<Yrv;7|2EKf76};Bs=~?7?mseDcfu@1{?xIFNO~
zY0p+FEPRjOxbc!4@@k3e>(JDZO{V0+^m8iE_HDasN>jkq`4ZQQi5f`8(zCiIG&thB
zUu;x`jCHxEp1SsF;>TwkFYdR~z_|LKv!bFR21k}=nUJ;7;a-JXX&fEmOkzxaDJ$Wn
z???YMd+MN?RpB!s7kx<1Q~LcvOBwHQ1#<cx)5Y^61tugD12BJO+~P=A!OJSN_6?DG
zsPlCpSINQ<nn~=cFN{?2$4sUoml6d9ZAvXGy^O&7BzIksz8Vf18>h@2rXY*S4WES+
zW8mP(XUkJo$E?%4&gSP*aPc4cY3F+r7?WUj_GHn(U)(Q_I$Wn<JrB#HXBuYEdB{h2
zs7V9gF7T20j#2OeVg0TCj5%a(+E;BBtcl)CK1_jX6uiIr@yQQ^77(DZw6Xq|CTi)5
zn1QPv9wNK<Noz2mzA-AvXOkAPO1-(YysU#wmfS~_r~n(Y4x5c0*Fw_7zJz&qZM@SQ
z&T2pa1fA&a3y;#mMYf2yP6ss6+1ZhsFtvileQk~R*Z8fecy;f+HBOq43RF+uT;ofI
zn{oF?O*~+uam@ao3YJh498G^%K|*Jn!l;ub9$DgEy;7ir_RwM7qG$~sVZ3krFKXbU
z&SSe)?Z{YBe#y?v(i+@VRh%q})Nvy9u<4sQSzIUDyY+^ZHDt^b(LHXcA>`Zk73D~w
z#^ho0H(hJUSBd3tIjM@9XDZYWul?UwW1;a6xUAu>_IX|&M-@~#Xk|j362{t-(Yt#)
ztl)MGwakZG8GkRXtA2EVA77;~4~HdNf$yGIp|9%{F-<#wQ8C1cwhjkfA}p=oRdVAg
zdJGxeJTnwcsjOI&;ysf-4zQtTi&Lwq0v^>K7*{D<CC<HUGo&T~oIkkNVu)Q1&0j@K
zd!1P%7Vlj8?5YK@@-gC;b-6UoZH`t;d^$_$whUa;&0xTXp`rl2<5Jj7w%5~8`AN8k
zD&Nd#vxHM}!!=3!Brt}XyjO}bNod{?dHRaS5|ktO){h+*!{&3bnZf_Y2}hrLC0z##
zSSmApRrp8*pR&~J$5@RKfBZHrzq?=#zVZcy29hMKG>!t!`Y*(9?uQfZ?Pj2*F7lI+
zFNDUbzH{1+V?;Z(<g3<Ne@RJd{d(iJ0IHnN?mBvVoG{hlNle{u3ZE4+&#$`hVUiX-
zA^rXYvF%CN)4XaEc>edBlAa9@dhN~5erh^J%-w&U;Ui)Kuj}^4`bKeKzUJ~JR^w@c
z`}Z!_*TKf%C73suJjH<tvvRdt?PrM9&}prA?M7gEE#Ps{Rd&32Vxb~WVwNZu%1Yd2
zXasrT|LjXovtjAr(>sxz^Tc}>rB?r&hEOv8uchk>D;^(Xz7r|3K>SyDXxBRdL-_FZ
zZAttH3pP5PaUC;RBC;GKza*VD0NuX|xyL+M@N2|1@sr1w3FX)pa>}AUJSZn3h~La;
z9#=P~)3ZW6YwSyH4c7;Kcm3rT)y(+hq@(&#H6{$?Aop9%(&1C|?so>anbDP{EVDJ7
z8DAFNV|<TX>myd~*-jPAXw}vm@TG$V16-c*cdgRkPS@$;6GO~cI{h$p)P@bquSZI(
zT%f@%Z>6Vqv{*1l;f<kjD?3*0p?gG2)8Kf}hK_&PEcozBTzGmACl1~ff9O|E1=;+(
zc@ZU6thV6m8qwrNnd@Rhy$)3PyDjBNQ!6VLaGp}%&dG}v`Q<16j<4nLDGj>IWj0*B
zp`oyugC9=|EFNV`qQH!YP%r%iJKld@#lBNZ5I;v>PSBxKp#Rd!@AU~BC^#7-s9Gb0
zmd}d?6JP2<Tjyn&o28tX{@OYsepwg?z6QC2x*qgH{Dr%JxX`m<OJ(;K5!^R+=%L?L
zUFdjNmc(|D2P2Z<m2QJ54%lT%ElTSG)ONGxGV`I~o*LJRt>XAh;N7s^eI1y1!x%n;
z{Fo?uks8G+iCd$u_Cz`AfW~X~InjH9_}e&Pe`=Q$HXWGybaGi6u52!`-}6ZbFX<&c
z7;cnCPrVp31Js5?xoKB2SV{OV>ZS|%qbz#={W~>uMH}RFE>-+sh@g*)gY0_&1q|YQ
zOO{B{hL0P(4T&sKOjIpsePBgK?;H0T`mSlil+}w=OKx!-Fg!OzKc|SQO5I`c&DvnH
zLB}sHM*@TYwd~~ktb|%w^9M%O=|Jsr#Q6YQDNI*r+`E3wx38Apd#{qN17Yc#uZ0Rp
z<2SaR7S$G2^kG_@>DSkVPE+;Nhf6ZpCinRZ?>2R;?P_!C=hTCP_2X4}O!CMPmt><n
zsew*~`bMH$6j1%+w(i>{1>7E7v)L*^3(5atF77F&fLy@>5mQdaP`ezdo3c8XC^Q?Q
zcYq2G%N|vx1B!SgLxWLsUl-5h>F$o+NP`D+xrg)kl(A3Lt}2g2!IGwyw-v5*xN@XF
zWy5+EG&aCJbF~zlHNSjd=W%`DqQsWW#;BrADf8DwH!89}7(Lh5U;w<S;~#x0)DT67
z|Ee`pF*#9r@Eg?#^kkS0xD2Y}{oC_gC`H51KjH-9o*TpZd0UOgvl^HkB^qsQMniu>
z@=1uNDb&sG7;atTly3A_9|?6D?)~IC=E-3W;`}q)!rQg*V#lo}yFn^S`~7{__1FTu
z6V6m+#A{<rL0tfC3l&3EuAP0ilL7sazuy#c>fn)2><_8Q6uj-klwTMHU>?E_Ms7OT
zJ2d(Jle`{oLXyQ*iWOL2=oN_Fqk~>SdUwX_v~ipgS?09Hg+jyHnMRrpGB%fxLM7IC
z7iGM$&fOY<vSPwt)NA8Alf3p125RV+sUDa3+!~JW4VyVDp^cO=wYh#{WjvmInHXBJ
z1{dCruKP4CJgzV~DQZT>53>{DL-IB-*T1r}Oj;9P9~=)O-IKwcMUz`B6>Wgo!RqF%
z0d;ig?ut$`lt7Og;)&c`Ht>jfS~@XG4X4K1UD`}Z$X1XaNquh(D)$Nb+Eo<{sn=kR
z&Emy{f2$4BDb|qrCC4N-QW^PDzS$a&vLch7rIneHH6$PNir@295$8UYORuc;k(Iya
zhHJa6fT`{ITaq^!rC6qY1v!2ap_5NScO0;S(&pUP`sMQYT;Rv#=4<~EZ+8D&(p?6)
zc{p$WO1%s|1tFu3q1!|!^S}6K=K(k`<ebm`BZXxPS;%#=gYi?j%l3-|K>g(<n(7V-
z<mcLYB!&GGW7Dh1jg-v{SZ>X>Go28{PNUW3U*AU=NB-$XWrSG5{?yVH_B$jz^LZ}c
zdVHMm<z>_~J;wr4NP|~wFAE_#>a%6*)(M94u|vCC8_c0IN;g?}A3qvV&-~&|o?vLQ
zTU>v<WCkr7+LKdEJeYGn*QcoeE2GP-$%I?q4D3WNUnI?O;Dp3xF5#$g#<_tb*GnTz
zq3aIcSfUvl8b!stym93VW9#CeZR8r)@{h}>R&_ArIgj?=b%7&{Lx!pRWG)l<dE={b
z!0vxUp&e6+8~ZRLuW+z9(90Okl^Aud7A_OtUYB&0@czeGj^$S7sWgJXfY;ia_bd_*
zpWhB}UhZWy&1}~r1dPD#4%M(Td7jAl+c+vV*U6BS{;}u~VhFlSzum9M%o18`sfK<+
ztqgXS-kFdd15g@$V6=~IhUg!$GB8c7W8D6pKl2X^VDI@bmJ>&R5L!hn&wK7yGKi(j
z`KB^`NdI?<=UezB@d@V!q5?x0XXZEFzpkhcAL9wTy+6JZAA$^A+&jvM58JrLd~)d!
zwnf?Necu>ygjFM?KoSYD4Lqa~5jseD?=7uW{X#4q-RR0a-$c{~U9AvEr-4+D_oU3*
z5#pe@kK?oKcSOm_OB3}XG$=o}!nVEcGr@G#H{<BJE+XE9kpG%Pg;Nc0B2-p~iN7aj
zw^L1ei4fzs`+LY#SRE-GICgB9aE@IL4jmsL0*R1pnYI4nU*R$zpgT<H6OEzVc|*k2
zuxnvV<`j7JF#R^S<S=oesJvc?HcVVxIks!=svdC7tDXp7J3Db18s;dC5Ej1=l7BSl
z0&4QovyTrGcF(HAPO5()3`P7*Tjq7(#pDwsqaVYBk|kHXo834;f7D@jP)i5$3n>?S
zl0Fmp#iC3f;wFfWhY|_p0ou^BgZBOYmJ#Cahsi?e(Mdvh^XZk?J6hmImffChJxYuU
z^E>Sc`9b8Atk%5zt_g2t6NjX{zYqfS`cR$hpTu*LnbvL-O~~HS-{pLBj2KNLsily9
z5&HD>z)cr4z;nwsmG44diO<?!e#w^363fG(!^b|U!@ha18ME>U;<kcH@6VulqT%|$
z$dH*j^o6`Jl|4O4FchWug10RYo}H@^$FHdYrKq!l_w09~*de3X_s|j{DHpfil|>C`
zNBH6u8mEbv(_SKfs+Nfh)VvSDL8@?6JyIl@JVPu8JCi32R*BrH6CzXpsQ?pq<k`y8
zzldv`+mBZqXF|)d($+CI6}W1cM9$!tBTgGLQ>0dyk;HExo$^i@vP9Yk3m(oBZ~naT
z8oAB7mb*v#<Xx3vvawpd{^A1BW2e4@e2g7S?7lTk^(le%gQ$m)wM00RQm@)Zb0W)x
zhM)I7B^bJpR{N!UnP3WX4AHFMM*YIyku!f4!OXaAW@XbVaiTp<R8oNtU7{}*IA2kO
zgVX66<!6}irOt@zo3{e^hvF|}4T>=GIgjlHD+?;{JohtP^96g1+*?0QhRkFUy`p=p
zSY)(xZA&Z()iwAWIPZ}`bpFgOn;3R<$}1{Fdr?$*n~n(~WH2cVDtZyaiHcilHW*om
zBjeJh16;Ob;L><Me6gGxe-^U0r0tc&pC%GK&o#)fz9u5%lnfuX{Av(*TDuNykCXQp
zlgSW=V*iyi2w=jP%BhQ6WO3}ka==|(GUOIdD^~WcdH64>es5s~^saoA(dteHrMgu6
zv@jA1RE|e8a>-b;SGQ5-DjEDO?SE70qWFpTodwle2|tE79vfm+g!I#z<+ifoxRc=8
z{)JBk-%x_R%(4{Wr?P6YJzWydJc>3qUsA<ohc;F>PbKIL{kiOZbRBm26bJoa*TA%D
zUKSg7WvD5UI=c8x1`oy8&L~o}P<^kFu3Ux+eBR8T`94J+BlrE1oC(vxlG^INH!^C_
zSFEO>MJ3}NeuCWIsE2GRJ*TSvs>6c9WagC$MU1JRFghtj#n<%3{o5_H;E-Nc(+N9e
zv`q?W4KbnN26@2^;a_!tr)t62cuED$cg5`Q*h)v>IHj}_M}Z8l3D3AZHMHp?*UoO!
zM}<Yb?Jk>W!2anoi<+AT>U&>n5}+C2DY-=t0XKa(5`QP<J*yV-Uh>p>)MJ3ryMwH*
zrWwMuefix|h1$3@FPc@WZ-|3(qHpI{jNx%XM^v(^E;<bMNtT%#V*6xt6-SC0>^tDN
zYio=iew<XSO&vDCtzB)y!Mc_(V;^U*;7CCd<?RD@X#@OpIe${X55O|!36oAG1#81z
zmOG8p@%D^~*50*VJi6nGwb6G9S|3*(%G^l9TA#;}MYYyYxM6*S!U6^N`#SUN@uc9G
zEz^15N*my5>l4&^OF;=2g9<i#Z8WY)3aJWR59USgN%UX}?lNIY$WBtj;|*J1X8m3d
zF`wHkk_bIqor+tXdZvgveB56TGHgNqaG`Ony)GIQj$6nI%iw(VNr~^9Z6Vj+qPcI)
zqt-{8XU;f^U{%3qL4Pe<;M~*NPdTfJMG0XIQ*Sud-uJLC_P_P8VYEV6!B-tiydHNn
z$^RnWSgHm8IlLbBafwdcQ&2_8a=j?l*IkUR+HCft6E>jSr_U79r-Z#O=|(ReEig{n
zJZrw`ZUbyJb=fnSWK1;Bk-lNU3d7Miu9mEM)Ry#Q>EJp!45ruqi5=vE7}d&2Z8>WY
z-Ken?nY0c^Ckt;nE%3pt+2H}jcq^b1k&R-P#8J;<`2y>EL16usI!vDiSXk=O5g#OB
zS-O|Ui2)&K{Pj(5+802)<^3t6K>=+3y6P3TUl;~`r6<&?7{GQcWy{?RE_Cl3>$&nk
z7!)#ZtlW5H2`iq@4>JB^!7VMd&-!YGfoJ_}%a;ZV=nJ+~y5YA>oWGk+N?W^sx2un)
zIcg5(+ZQ}y#C{RIJJ067I4ca@?nTV|1<k?f9!<+5e1wqmrT9j92*YC;8|nqSH4pLn
z&X^l|Ni+zYdlaTF4C`fdjpNUmLg{1QUy)xs7?N*U;&!bH!9?(WbKh<gsHLCLrml=K
zehjXw@cbwQN9?S@PQwHylL5Z8O*3wFX~`SE69Ng({Hl|Q#!xgbQ}+DL9OHy|lj{3+
zA+Q>{U=lWI1SeHD#s`@!G3sn8R~*KKAXcmW-JR`5K(QSacX3!@%p6$UCNC@uA-l)7
z)ioPJ(<^h~-~=Z4^YL$E#1>)r7!f{tV!a^<p58d7WX}T9=Pex-?h8Z8H`2xjuMEJ@
z{fwl=3@fN-b|^JTlR!j}mCM-40GgGxs<SV!!>gvVk~4)QXx~J-BH5=8dR_q^PD^ou
z<F$Jq#O+1kr(W=(9S8Nnt6;&kv49KS3K;DyVG)HvW?PCJyFOe61Ey!XJaE_BAV{rG
z6fB3bDpPOM!G(+T)tcZ1?!s4ctgpr3hfJ-^&y92#Esos(-IE^@4j8Lor#Nuzk;%NY
zOoP{jRD&rNK@cM<j6N?)K;~x_t^Nuc^nRLnL)s+-bJqC@-%O=|x1*T^AvE~c&un(h
zUKk=Cmx(*)u7koT=D%BwXmGn-fgR0BK$-jZ-(gW1h-~P*Si?z!4xhu?JRkxVD<-tK
z5?K&Z=XhuInF>&&Sv#^t6try4I-T7u4{hb)L06lo5ECkYGBr{RLKq(@mva@smpAa@
zz*8z@Rg3v6mxzO;O-{nrG%`%@!bRpMRN&U3mL|+eKuC_0lSif^IPMJGW?WB&dvsB{
zhl>=rW;@-zTBroSI30$oho~?!edyyHu@26$=bXArD1*waF0&yX8cYuzmGH2U0abRt
zn%I%GeD_%_TiHMZ7xtq90t2$}%+V+K6u%nCRrTvfU!g&*@Gnc5GxFf?U#;S7stz-`
zN8(GE=+ORS%qrr#0vN}-pCbG<;C}!B0RR6Cmv=aqUl_(^&+NT7U+Zgc?`<~-;TI7~
zg{V-`QVAt0L<^~`6qW3X-d9nPNJb(=NXlv`5kG&PbDirs&v~A6J@@B!8TY%=bW|VB
zb4goLPRe853&GZ>Ni=-a<>2k&H2|~NGu`!J3UFIb1p4P`;KRvk*W-^2kalE9>6*79
zu50B>R~Bg^n&m(bbBrNAe|mlTucH#|mQ#g=(zS4v&!dBVlM(iIiL$sGD5F7dQw(jh
zHn?Z2Joh*n<6;wsHNT_^(l(90cmAafvljkbeJ2wXmpHX5{!u~ylla;pA05<}4O)0?
zGldMbu#fMBDxP@keA=6!1BaV$6RQ)<aC17<Trf@zPdV0p-V~;T_Q4aZdJoK@k?-2D
zR#hEq)CO}MICaqSJmPN7fCVlDhfaUFr;cg<ZOsf@v{Cw!<-H)A72;*Co5l*$VEJ;L
zPTO`ZeE#<NqrM`6;?qa%Og7Qrq0q`;uB-{pTYATvg@L>E9;byOR_Yb<eXV2x4YL>5
z-p@J<oZR}!UUw@ELR^a-?o(=*lw{Xf`VL4My%PDNLW4WUehUX4Roop-96s$}4X3;R
zWllU*$C&T)K}J4hEEnc?WhPidGkRNqp|Lvp{5>5uvM8cU+GO<LeQT(L^Y79rH4p@g
zLDhmB_D)-0w`s7(TPH5FxGGh=*!wStX_X9qr4yTnSN3J^k4QE)t6-tV(#6(F0xvcm
zANpKojhL<T=8jFuC@RP+SywLt&U)MC&8gO~<9NdJtXc`Xex|Pyxhx3IZ40ZC{H<}O
zIZJaiOA-GpWfC)9@WE}U%YQ(@8Y4NhbipGE_|_FCVNt@3_jfr$Dn0-uqaNAVERW%<
zwRvvw?D#O<noOhsx{AtOuPo)j@a*MrOFkA@9(wK^Z2=funm7EoQ3eNo{(2K;$B2z_
zPZcCv2-Jkv_8f*3rcausL<=yWBD*HJM}k28jXk?f)=J>w**^*2I~R#h^Jmy2f>!$2
z>=SW6TnyPB7k!)#{w0JgXFSTvEwR_^yyxbJB2aqWc*<n@524cZCu@np5<7lHcs^DV
z24}+QS6?On5X=FRr~F(ka5TW-{K;}b`2Nkl?(*q3LB?Gyy^w1TrS^>j<vRpG54JiT
zqV<P(WyN?*@sAnyasO*=Hsi;gg{X*=qko81-YF0FxS7H5ndt65T|QJ+-J{9<ohNGc
zxsI3JGsT*H2BUuIt8sWQ`^cd00`cZ<cAyxaDRvQ=oa8DV*i7EKY03DHkoEoVNX-Eg
z*gA?Sw-<Ba`Nh~HZbM5%Y8~5j?w~Q;?{_a8KF^7~FG&{~4l!W!{#4#!XJe>;y+3}Z
zkOOh1?BcqatDxq^&>ce=VdF`^(|cywQO2&yknx5Q0^iv6j~N@mT0+#AIgA~}_ljbD
zq?l3f@T~1ynIRHt{0zng*&)18t(q6Zg7NE2d%E=u(RTeJ^S~GzQg4{IOa5X-^6v$1
zr)mS_UF7PU8)k#%y+gfoaqP&B`Z^T|12k(7CtYM^$F9#mRXQ~|F-A#WGHcaG(gxYM
za94IX=@2DlQ(WlyFQWNJfIi*|$y;0?*^v}p!}h6_2aa!ERy_Wrhv4w)ATM_goaDQD
zd7+gTj~S;VUS8Bgv30F%Bo`-4e!n5d{_w%984cbhdYCK_Gwc7%2?eE_e>9~9kly%=
z=gCK1>|j6NIXupV2RaJJK6wfvkteLoHANR8Oe`XTygcw&7npoIUkGPeE1P5NbP<%S
zvl>3DVYboIM3GAbzfD+}8yIw9l9_xedL@s%&v#GGB#A;!kcFqZfsS~A2<l%2A2#5z
zY_76666e%)7}Mz3*&iL3eVHE~_bvn#e~^HEd?#z@PC5>J3Ewr4B7iQ7g)G+xQdp#3
zS$Epg@xUmy@IsCt0v?~LOwE_UMu~PS(CN_8O^Zux5W;#Y>1(`?91hNxZ0b;<BYJ4~
zYCNL|6v|Yeh3=Qf7KzJ=T{JqvS$q%cdy9f~Ywcu3wgQG6uXB}K(otM<(O<kt3=iu@
zPT%QJ1mCt4--Q4=o^^iSb8Mponm63b;ucfJg~`D0TQ1RYI6YNi(=SPA97}SU4N}3L
zI^*`dK{`65?Jlc5kcRS4J=I)F6^c`Q)A?4qcseyzJ{~WN7LT@$Xc=|Pn58?KRO+H?
z`kD3aYB`kt{mNT?lm=&(xkzbyJ@B0P(4k)?k7Hvt_K{s0kZ^cjIWVn<R*B<|i?s^q
zr#EXKkk<mAA=}40Rr+X64(AAJQUtTg3pHymZEQ|q;8D#qfP-?aQh1LNBsRCnDunC6
z>GkmwrkRG=OWb%KIHrvG?N-iuI&{1a9gKfdX@mm)iizGS74+0OtnW>xqlu8Sx-(&n
z(%ZjNpM6t>)fzu3&zE!rWNj-@GBibJeZi~fUNt1#b>+5MdH?dE(RVVbW-xnUXFc{n
z9hL)i=}awjoGtwL`PWZ#WE^sJd>uxEYtm7euEbY)8GED9#}W^}<VCWvXn^)CquEfB
zj@!4q<0Kwip+9;}`sjWQWOtR;kbkt{GVEgZh8f7W|FCerS_9OeyKnb4EnJom>uSgW
zRP=lO{F*c%cH1+w@|XrLv)RQ@s#wE4LdcX}w6b2mQ6X`&IzG-!7#_Q7jV#93PFLJD
zP;xG*<1U*jw$PJ(3x8On>|(XcTni1M`mUG5t}1~|-q+}<z70&8uGsDrrNMsNkJ1B*
z3P>m)K$y1;TBXV*&#&kdtGfK%;c!{h1#86b-eCh3Mtz!#z8cJ~Uj1^aT>?FyM6A+Q
z&J&9M>vr&~;v-Ev*gH-H#TVm7x0~3&eLlrtxknjy8VQekR|O!rz3B8bvkinq+TUzW
zQ$n{of3v#vYRuslL+Dd$_`a@J-D9l?*?&*}wVAOa|45<&+kR{Gj+{D@J1vi+7pHA=
zWtpHKZW{Yo${K@q#9-b{Ik0vI4GFjWBYZd|)~S<#!YIp|Gc__W41BU(e{qg@_i$`3
zdCN*Yci+djgA@$T9(E*e%@Pc{+*)Bj2pl<Cc<uO4aojkj>`vN$CGPtvoYSHa*j`ha
z^s-SD$=L@tw8V}Q;~ue!XSP~_M}NKP(>h^f^;ue4-5nxII_LX^vn;`$#1*SFAP9~*
zGtcAG0|cQtcXQ^Q1@8E3-px=IKtqUqU#D(Ak@IS#y<5xzcIzg#zQ4+c8{~-gmfU{g
z^1EFnmVV|a?uz?QBzQI6l!`TRbq*5u9!T`>C^Ey-i#{<YzHs5y>KivpDu;-|ENk7+
z-=_FD86B~sf&<Kn9Ioe9j}Y~1u2HV*P4W7<|Hh{cY{*M&GL7vXBRn?VXXnf}fvcmi
zxw{A}v`^eiTl)2dNUzICj9q1d082o$zlxA+s$@Phc7%~E_CAxus-m8q*8+`UooD~#
zQ799-ImJIV9i1V1+e@-+nvF1{5l&MKVnjm!m&eB2zY{l<_p@#?G{PM=O%s9iRq(R$
z;5xSTC!u3>r2c8XA#658w14}`fKXAHyOsOqh;puVKf}cgF&H5^7Pf~0lwgn^vi=Zf
zhxI*OQw?y0!M6C8C<E3fEf%J~|4UdqEXKHV8z7VCFM~q!G7&dbk;$w3k4X18s1<Qm
zAN2*NH_aC<6U1ogsowl$V*k%OiTQl`Sba-lmBq_tf~{$6eW27T<ojF*p1h)mnWZ;j
zr&jo*`$TL+&Ot_K{I~9jtFj)_B#8}qehkR^n#6MX3lmN-eGz)UGT&lGZ~Hxd!2oVS
z=Q5^97T9#a`0_ekyxku?8|u6YTqg{>x`f!^@Y-lO_Y)m)s<WDf)2mS7u}Q<YiyiLY
zgFU2T>8QNKwYlUTBOd+;^GdAZ#CPSj0h)>{b4b%;6K^sT>}}sP``2>gQo+C?PlnEl
zez9wpBrt>T8|VJSiPd--NgL|<s*R@N`;Ts4XF=*E>w)9BeArTyR{P%uZL}-eIYsrd
zqUbCS!~AD{Bw9qcIn-)lK|z71(U=`GlYjkt9R*Q2oo9H?NDCUSa=()va^NfNRfFG(
z{_rMt%v(Ougc=l=|8C_%W!E>YW`7Yh&ezFb_s~Q??G{(8J`ZkH{ACT05`(Ge?3CVu
z2FmRDH6PP?G55LRfajt(`s_+($#M<w&}wx}?(yMB*Xg@YR!PAqR?=$o2@MR0+KWB?
zz>hwQ1FNF6Ww7s_D)a6@4fst|k3}jA;%sWlwSU%f==!QI(crHEex8EgwP%E&Srgxs
zA1e<K@0&9YuH4JW(6YoSg1oj!N4IVTn7Zuw82>;6F*E$y;dex_`1KigA)$nT3ahAl
zt2LqWG(n3qL>z}>4J>ZdDkHbA<ZMocCS0nY^M*J|qU*I@UC??}q@M36TfasNliNOT
zzhy5C>2!(bVqery8cF)C($U843c-82fwIv4(pG;ujfQo*Q@YGI=wPm#uw2_Fhwt~(
z(-{d(97>m4toEeCe3a_U`YR7t>G}Oa6Iw7_b4#dSSr<QOXS}cKDuS!AG}hyc4ua!b
zglfd~5ODlw{gDVIJRke1Qjkc8)bmIEO?vvsPMB>=sZz#C<^BuiX1Xvd=4(lhFo3{|
z<bJ6|70m4{k7{n$Mbp>q(#Bnecx$d`<z=zrrxxz_@;K_jIQgy|zmGAl$krw73Rj2N
z_a8UUrRm{O)bxD7k_n7YB&|J{N<*fSi<QxBJxF}$Ji}gNhWa_9Ifo1laK>;&ik{ZP
z?Zdh9F~=-0Q0`LoB2p8yTX`)eDthRw^x;~xw*uuUH@-tr3yMWCyMyC(!F4(0zeI)=
z-*hLcNH0eVI6WczF_#YiXLm}g-T+>G;%BaW&_YnkZ!04n9jrPKWFB|c8g~@pooC-`
zAvoqqTTHknEX;#=3$<+UkiTWqzZGA4#jta`=xKHQt2^VOe%}V0gwylYxwN3ZzwGC;
zFcsKpSXK1$*kW7hxj&a}G(ktgCuTwsTb>{AI<>|Y;w?4<V}u3{=x7xjmXL!qm+Z4y
ze_MpOm^apQ(m=}<Z<f)Oz=HYP!mR&n5#7LGu&zW6Yj@Ej6S9O*q_K9ZE8P}rO48%@
zYOA8?!Sh^ZMP8hVKb>`Z)&{yd^+D^hlwls~a#3(CE9%}G9Zb1y191<}-RBk+v6SG?
z^E&Jwv7_&3Rg0Ak=1DFmVIKwfrUq`=)G|Y)UU+kZ?6AfwFP`<+p2)#&&%TEL=)Huc
zyP^thn>7mQbN!k=G6=Za+{#{3LyB``evqC7n*GWKO*Ts+`_e>5=*R#$zDfDqzbN3y
zPA&_klVVufB6`s6^f;+XY+^gN3i$KZLAvXmF!KE4Rm?t2k;6Bo-1(&lT)9<fHs&V?
zzPxi=m!oG%zTl%v$IPr?ymdt6z8F6w2As4TGryA(6?}iZ{4K$pb~!nkb2Z+oxi5^f
z{~&jMKXX$&*#f?6>%@OLaN=@18Cp5{ojhtIJ2_Hkj^H7ujOAfg1RS(UIKBHj={%~M
zUGUosqk}4TsqdN4rpgoVRX9u5+9#}0G%<t0g9l2jN~@sWb+9<BbcWP*8eJ!Fd_@PJ
zL^HJ={YMxk%azGkO_TLm-K8=uCiqNSuW_50C(fPm;Ll{7BuDsKf_})Dpm;&uOf2CS
zaqrLpBfG{4(uYdVwu&~!g+;y}p7>6@5{#SByF5;g#w5vAbQ*z{7y8n+d5WliH&Xi`
zevIU_{~En|#b<34G5*=!_Jz3Wf9k&Br4jPi;4LoR97B|4Dyi2U86|p76mQjPA105P
z$i9o=FoaL`J4>NQLj*?^TTH3R5SewAxlQem0a&L6e{0WvAU2C<A5hF5Bn$turG5IQ
zkLQP-W`dpH5p|2@?DrJ<$*_ah3gfry<MTl~wwYaTi5{&rYmAus$RnSmd&UR#u*>m)
z>&TWC;ykI6USsy2q`Mg;Px-Crop_7lB4Z=b>U;Ci{>FDCV||82^pGyX3<H0u8P*Z5
z2YO0eu6L7~!ECp72I<16tx|O4-veT3b<40!Ll@a1Te2f}hK{T(^@$;~8^lkc<%dH$
zUF3iM+lu&O=s2NT(Ix$9J4trRyM7z!B#Ye1-`U)BWH;0A>}I=3w!g@nWo_*wnQ!xQ
z`&#Kh%sj%g$mu@0U&OXN{%<FFgSAfBKSUd1iN-OPjH}4N{JQP#+q%etv(7FOnObl;
z<|LivQ%hb9cP?gS?j{v##tU}7(FEn9F6%B{Po6d2)i5~FP0nfur^|3_;*aOt+|ajY
zq(FW-t>gPUa@!Cer;M`(WcbJ5+^u|0e!b@`a}Mvx=s1I5n{*m@dss{RjyI9Vm-&Vd
zH1(39NmY@%2Gn7~c(<4QuZ3*zGWM!U`9S7g>GO=zR)^pb^-&S~HnOi$FUj)K0J(D?
zt;8`-4VqGxR@Z3lq_s=>i@@-YWH0-%<oXY)C}fP=c>CpBa#)XD{Kvx~vg=Xpm6v9!
zh~~)Rdm7tGdemfeCD1;RaadBYy`}=I<u<R?KHcP+)$V=k8%M~3b+(S;%qsZE7&|rK
z-9suJh%EeZZj4OOwwE#7s|<%k+JR?ry`<#}-<<Nqaq=jq=iJEwC8*xW@V-9qfs{IY
z=7-0l3DP9$dDg6(63ANbKTpC3$sFz!EvQYBVc(a_B3FFZC&#>^D7hi>Te<a_<eq7=
z_XmgCf}JAr?liBnFCHdiii7i5LT1U{Hs6}K1_h)ScTBbWj*w--<xG03e~|3eFS0q-
zD8MtcM(vd87}+(#Rl@u6CwZhZcXLXcJZ^f&vRXKdlaH&dY_@)yBmXm0Xq5Jm2lsd8
zc&Ee(a>G8e;eFEcq<~9~Y2$<(yzEotud_^&{(SGpG&2@R(;y+G>&N7PrJBc&8m7t5
z|5QJUZCD~pfAfE66OqG3yUzomJ7-C@+Mc(Tw;8CqU+I1PL9)PkkB{>LKgc9ehSE|G
zM#^oVpjGsa4Dyy;HthTMljJejsnnyzOf^;Oo%i`I4SQ?v$lBj?<f@ZnzSm4yseE3R
zEmbbkC}~RRv^1M1)lUW;2##T=&V(DWm{&+4RkSu|=HUW)@b2D+YRjCIdEzfG8x<)e
z)-yYX#w?MR=FV9@jXczAe|pg2TatKX=q&iVk%6io@~=(|<)hB8y*=^AR1(Jr_#akB
zF;W7j)~@|6EkN1yCnmdnlz`aJrIC%E%v9+t!&Sj0LCS1OG_&-Y1ZG_S$|de(rR<(`
zpEczZp}Nz%X8s<KKqu|5a?E{p$||HoYQam4+IMQP;KyzW3`!p>t~KPMoD%jHaQ914
zb7x{if|Df>+5a$uzRW{4AMJ5bxhYK@m}E%V)+K>ANBy2~p5dcR9csM4ddN{9dzRb-
zJtPtK3&$hP1Sm<)+OZq|<f&;VxA7bSDZIKQS12wjM2V)=D+jhHQccbRtb~*_uCs6t
zSSpB6e{(olt)D7WA1ta;ZXTBbYkB4VuYO{br`Lxc{|%~AB{@GEpR35>MEzdI<~9lH
zq~-d6?FuyNQ9SKqk&`?m7cy4Ai;|`!tvhq<6E&%f%!k%nY89}<qxeVyO^!O8k=^3T
zr9+)KDjGc;tAwHe+1=kO<SFZY9`;V{bgEpDH+Sx~3iAD)zu)bxNO6n~8KubSQGsW7
z`9)i+W1B|K!e(J*Dt_-QQ^GENYOw57WZ(+-?)SYf95kXrIUY*%j?Xio0`GebgnZM1
z#wcH+I;BRn`$`6|))`X#14Sms*z{n&>XldPbsFVy!^pk2z=*24?HzMyivfOpV^AN6
z)}*4oXS#Q<Gp3@}y*Hl!ZiI|;Wo{N`+Ek(b&K&hC#+1`qhu6!srkGege=Vw8hZ5es
zCdTiGF%{twvUBRT1@=}e>k-%J6#6Q+PmdZ=KbVW}9=S;%FmIq@LS2{QW@AVdd1FY$
ztr?d5Y-5e`ytMe#L|w{E`pR<~^OgLUcsPD$+JKFt>B7PTU8?wW?YATPdemFiEoIp+
zZDG8ddh2{sm&zNux!*KLhYIU|ePp=K4(tONXNo;^sU0j=s14pUYB`@_`|ogjbk(T8
zI{TVV$(`Auz&D^o1yuKqoand5r*@8^8+>$Xqlxgu_7NFM>z%gvD6<0^eyw?(woaSM
zM%bfw1wvG6k&gP+Nqb}uy$v|0u1Otm8`(bnn3Xzlkk#P9O?$-6S7cm#t4_Tv)mVR)
zm>|Q;2TY~4?BTYt*i?M8D)pgWy^TZY8*z5zvhs449e$5Su}X9(Q69{D^LMi`BDK^*
ze#g8muIjg*Ro$RK)hZ?Fe9PxVNxT%}sSUQ!^dLtH9>`KzQ379NF7RQGmzH{Tt_=#g
zLfr)yB&d4^yVxhc3IN_Aj+TE{c&vO<Bl@%m6>ap+W^%=sH0Bgl3VK_^?2?9DK!5;M
zoWq-XKV2BbSGTagqJRzWCzGEG^H49{S!csFMZi<-KB1-uFuyydvcShmwH^!qwmDJ+
z)0<d!9okIbVD^17*MFH*eO+6B=$HsL>gcU@477q*GlPZCyC0<c`{Q?{c8H)_g}M|K
zV~O4ef1MM)4U;#tFS&&niNJ#HW_RwE1x}QN_VrJkBr(j)xx6HdFFgYW93NM>>(?Pg
zwjCdd=k_P0F1{4Tb<XNT$CS-+ZI@DGqSrJrG@yU)Or|hexg4c#MVZ0znknO#fH|V-
z)ls!AhlTO*O4G(&Z%r}sXer$}WRZ|x7_Sfy69)6ANr?etQ|vKfnYup30Pi?`6h#W-
z78k=A`$7{CAId$lLzu94Q<SA}sxWw2H*MvSHo>ZP{RiTuEa2j@PkzxTjB}57vA)bQ
z#@VN$%dcOt;ZRgZMX`_wKJGEys;*#+lC70Fg^e5--Af(!j1d7d_ija|QX}}TACY`r
zz=hSP8@7uxh+^Tlf4a535n8o=mfYXR16A>-HnP`5;q-9*kMSWxh$$@(avAaB;q4oq
zdp*RUa56Sl@RT9ks<z6;9O6TCo1N8PWpU^(mov@iuJBv+zCVkb__5||XjL}91WqWK
zy`)ABV0f&m`JagZbSdktvZ9i>y!A0t-%SIo@;c{LDI<vQhuzrpjigY+zI#vMP6KE>
zDY_`ZC4{EO$q^xYq~RYq%5crV0OR2m`s2$&kZLSo(jaA!bGN%>9k&6RTZ~$+t@O_}
zIPzkrpd1VzZTR9erH=y>LNUkLMbWnDWbe)nIlPUfkGS>e;}UOtN4ks{EW(>FrC*cB
zmUYJ!MLYFz@_p|3b!%}jMSZadiBP~UOF8eL_xk85T+Wt{l)##{46X;xif9Q=R}@|0
z&rYgf%CS@uKJz~9Lv$r*xH0Z!;4wg1@Uuf-7Nn4F|HV^4Tp8`AdCH3x25<>F<$B0N
z20tGQDSu;9!6VI$gYS<T!03!o%-<SW>>W8pU7u1xL|y(`&({X{u5-zIK3xvcI@&3H
zU8-pLn<2`fV~Fe-wS)Iu<Z<HJ2jdr&YVg_~v&TPor7sWWlQ*nZz)y?o+gOs+q50(8
zsuQY4aN!P|GHX@9_T@DGC(bm`-!}SNJTZb>{(I-xbBd5TsqmtFfrh&;Pi<S+VT^x~
zFXQ^wD&d{T?vNelHPG?uvP!|qKlJW<>t4>FjEX~|%2o`Tc(I}SaM~vmSYKPaTI0Sl
z>hvxLcdXY$n)EBVBbBC@4oV->*r<X#`B!%8glS^>aaH``R5NUPta#+`m<pb_{X3+z
zMH9^x%JG~L=9qrkk=!1vx}vwOC-WpV5z^_rTio3OWmP`9jNPiRU!!BoQ>cOS@$Ujv
z^(+yg&Y&cwp@zwSBY_7NX{ebn7>nSrLSQLd@9`aK@byp4dM!u8dFeSnTBjA#u4LwF
ztZ?XA)=j-LBI+12l5QzKN1)`#n)r&7YOtA!4LdWUiW+VE`57@_o&27A`vTRl;o;4Q
z_EZ&!H+J`2^#ejLnlz;;t6@U;k&vE}GT1c^3&vgooTR3_Ih$3H*8bym^DRXPGLDjM
zBoOnuyC`>~DkP<<O};59K;U+YiEb}&V$6G@vt9*Pe9N6K=gT47rRjU?C}5kpH~)cz
z3Z|S3hWPztFl=lZZ~F<b?||N;0A=K?7Ei3dBnj(9@7Yrw!1G;O>#Hv-A>i^->#HR(
z#C<&RySp0L+3u!t;h7>VhmE;=azxPhAW$|Z4QTk?cwBv40fndR5{r)tLA6<s-*+1@
zmHlSMfI|Vd&&8|zWeMO~=}V?G4IrW~^Rp^V9w|#{3=bCgu$i9!YI8q<1zLKB%mz8+
zesJrUG2z9h#m{!!EAu&#ww)nwS_VqfHOu02+$h@}axb&Z3bG}`4zljjSlHr_9;wQO
z?vtF&(y+o8tNW5in^*WQz=>|wzyZzFwQ2!(Eity_GE?m(fv543i_Fj1F(2~x^RSpD
z7<!tFg&4#^U4OgHUV<IkOMkYE#983b@3APgr=s}&cK=)@#fI(0Rqnyl=J+1~0RR6K
zS9dtoZy(OydvAwh9gcDA`Mr;=QlcV->_TLeiYSzZXi0=rW=TX_NNHH9NJ+oUkP(VR
zc+dOqb3NB{-Ph;2Kle!Uk?8t!RU9ri@9`Jk=D_+pzq+x*94e1I3ORDb@Z0B&0`)To
z*wHg8-eLxG8QIExm7+LsWtwoZ;KX{z!$+em%s}6KWk27b2>8QD_LCi)c$#~t`B|kY
zd^VIm+^#2rjLi>Hna^{flXd?VA9YilU#;S3$Pq?R4dte995>K(Iw<Rg33jFhsK?6-
zLuQQT-E@)%1{1?R<w_=qS)H?f_CyFTdX%glJ?2GzUwv3lkuj{k9-4g|DTEa}h4|yV
z{CHxRpXNz5#=*C)n=cbW_;)e+yh4HiSW_$&0v{RSQ&}$k0$B)+Y2y9IQU$T|Jx#!1
ztr4^$O#9{(gb?b$6I$jYgjvyp_gMQ3VY+zYp}d|D+D)$Asc{fS%7?+zQgMbj?e*qh
zvbzwDFKxQZ4-q6T2{b&BF~pov)w#Rpg^(yYc9ZTTijoyljYXpY^!XI-xeW+`ono<X
z#$OD5Hqrb4gd1SGm36P0y)dje`fJ~v6$g6_#n4sB0L-6)o7w7waVR1^?@EURJcXkw
z>U;IUYFf(C>m-6@&FMg9vJ}>wbj@za*GJW*g!r;C5y;O?l1ffXL&|??d1#kDew>Pn
zh|3ejh3ERGxjAJKV8I^VX08vC#l@e&fno^XOZ<z^mcy-e6Kq<N`sg|QJ|&ed4w+~k
zHeM*8q)bS%X@v&)IECy<JqbK7x=?igup-Ls{M{p_X{d`-h`wqhiT>_%v*<t)+U641
ziA>SZ+3J{ka-$R;{0(Qx-l_zJ8P=Av1salP%rm0nr6D#nUZU%w48imyim8x3Uc9f%
zoT-(;#|!P#UtP%1@Q{4gVZy-KKhUvRP!6Z=U#V-~s)EJVcOFT5^)Z&|k&?Yn9@Bb$
zOgDX0aX#vv%(h4R!0o6XZsQ6V+%4FXxJwP+`T{RFiyGizO(s|S14X>KC6ZLTM;*VJ
z-v$~b8Q?+0-nah}Neq5ii7AF^;CYZ<;XM{ZWL0gnE?ut#jWp$tPq$NW)3N%EQnn#>
zEz}aDGRnws+dsl)rini<zE4M58-et)@lwpVGQzgA=Jl>>;$5QgR;g7Z6l_!|x&Dw0
zkKt|W8jH1X=*qy4`8H$xx?emJd_)Be_j0QE)TxkiOFL+C+XNc}ddvL?RlJbM&N4kr
z#pns1bf+9sob#C4{$oZJy*<;jHU(6C{h`y+e9jC}2ff?WE~=sG-|HEvG%B3)x`Hlc
zn4|4Z^1PvvI*fEompCn{`0gJ!+nH{G{k<IQYcH!q<C1f}MwJ#U2x~g|lqJ5Tleqh5
z)uAtu@BCm?6DxZY$Q^N3xVf!dZdzLdZ!h`mbNEg{#Ki~^X>S4%)cZOjYc=4+)1A>-
zp#kYz6wW3wV2*jy!aZvZ{L$KV=#rB<yfYR<3L=2z1ko2XNeyfhNuMmKS4Ef80kLb3
zf!!+&NrTPm;ECl9KO&<7)|u+H?sI^ta@?@e4s|T-pKWm2rHrZPp`EkxbojcPkSyEP
zaQxq^Et{)IIMy-o$ljO^Pu}y*o5*UoxFTb$$)t!jzUJC`D>@>R-wtT_sp8kJoR}+(
zvLGiH6>c=5BgH>u9ebJz>cajit*@5CqT=uSE(&yL$SOI87Ly@RZrgOTPaHkl@4E#q
z0qx#}ag+Cy;o0e`>)<AeoO>-9?yZ322opbRy%JWp1^iYM6ov%1-}KT2U?<ffW1xwI
z1h<4iij*K!rC<6=Z3Yh9-L|^DT@kM+W#0wA@Iq8lG{l`BxKFLTnEyZl4_m{7+C;g*
zag@zI@B{%KO2ih^0Xb}oYG3UB$N}Ra?UKn!E6Bz+T(Bd_B2u$x@w7NQ0%JIh;x<}=
z`tZ=&lmpVRTH~T`@tPHu;`K9q6_z+^=d!N(ha?tmg*Z-sW5Fq-An_bNOB5eJ(kXsO
z0s%WMDf63H&>{VfyDQ8B8)D)nZmWqSZ=)^CIuRD+ciR{xwwZ%#W1^?QZ&B>3<0th?
zv7qV8g<=<7b6gnlJlFC~1l-9Y25)w-AYrpy*T+l-Khu}owSEZW(~6amT_+1NZVpir
zR!kA{ai3qkurO3Jx~rQHvVwi-wPH?)DGY{B`&D}gVP83Q`(Fn(Jik!G6xL&cG6xk8
z!6$;Kj_z$eX~quGHH<CZV1mE-Ued2k1d-}((qz1W1G0{s%}Y(jI8vS(bmE!-juGZR
z%Z_j&G_Svn&)OJr8js@!SOicTThFnrg9}C>raMv^jlj`p!Fu)*KQdp0?TNME0iCwg
zdCb8G4o4gn$`~Ki797>``2{b&uy?VTzcWPC-A0{QJAR~{e{R&jn;%85$gLedhR_bY
zdNSUdA8X$0?ba6;MBcHnTL*s`;Nv^d;|H(tV~1+eo=$clIH$T$BGL@-a-nZW1fKw+
zBBOWZatNd3L^J&t#Q>Xgodm8i@cW0{qU@6rL27sGyG?KP@g;B5#y8r6_*7&g?Q1ED
z`%^1&0|)itcg)^1xj+z;_GyQsV#LsR+c}6+Qy(kMaly+f41WyYsMA<44xuH%Gsc57
z7`1lHyVMII{prKafr^rde|-GI>~$LMWpH;@gb9Ns_WL#8EGaPAZ_Rrf!npt0;+3bi
z2u5tC?_5=pK_1sn?O1afn&*xg7PE@N_Qb@0JuR}>@kha>RE&lX>GHS6eu@GcdCk&K
z$>Wr2!(Ed_J=8rYU5K9+Lm^dod`edlr5(Sg#eV3)dY^LLZFUJn53x$tsgt0?n=@kf
zT@Nu1;&L@KNvIEWU$WCuLPdL$!uOwgV2coPD~geVZvff3)=U|luFOLkoHQs*ykQP#
zl?HF)sLHr28DsSc8C!K}s66o>Q@W`vvO?QkB%)QYa<Ba8)7>;wUku6*ej*1SGQaQm
zWmPmk`bnz3N5k(T-h>w}3i#Tw@!-y9YWUB4pJS4kKHP0jTK$PrgvCVS`m#}V99j;H
z+<r<QHhIgXcJ3ssQ@t2P;-;Yecn%0L19*9CkbY*O1Wn50t+tAq_;utDdFZ|YR+vuT
zj+AHk-;L^qJ7g{J>X`&&MHu3*y}`g38yOw_lw>18D(th_PfHU<(D^24j0rN*qts_O
zzEEMQvX7ETHpZoR!wvlHDtPajBRd_hje;!NcNTdQu!;+xi!D*bVoZ@m^`thQFxC8<
zXXLJX?*0a*F>2Tyd9f~8MF%to$&ed#GsNbv5pL2^hgC;Fc)FYpBn2j|Hu#&PkCkOL
zxJw<6Iz=fLI<z6}bkW!8gas<g9C+h)YGA2s>|mU^Hsr)!1}faN#ERgD^Lecr=)QT$
zyVr|~=p$`zpPyMlFIf)1#VC+pUm>{BObb=)AzQb<CUD>J@W)_N3TR<kiRm9H5Z;#_
zyK6fTI$E*ws{sXde}XSNn`^+fzNR+)Il$B6dBm540*<YGrZ1w^@VEI~14){W9THA4
z^ePRUY;Ds2$I$g@<$xAXFFM!<rvmv6G_cbt=-TW>Wq4&N3)`g85pHU)d+NM8GLGKu
zE6paswsI=?VKE(bpa0xQ>`;Sl|7V$FjQ@Ywa+k~JHXVn5FE*T-W#o*)A0rno%ixRS
z<;vu1bd>76T>ZGrnEyoB1rK>iP?^6-|4N}l>v)rU&mS@#-x@jb|2>GZUEyupM#uXa
z2@8?$%5Vxua7h&x#?uSw5gtl(tgDz!ZEsV;pLz;sFI52H!)GUY`+&^vUkVqhNsw6Q
zX45msjmbBPbtzc@`LAd6Qm!JBIK>q=tmS~Xeco*cN5D7u^XMii1<ZAcFg<o>h2P7l
zXHUlnFn!V#_2-pi43N(_V3i4T^ndG*SP~$YEcZA_${=gxo_Zy14cx_Fv0J5EK{WQn
z#xY3YIM=t6u`ia1kbM6wgI_ISls;cAc2WX|xEhZhT3#Zylq{!CQ!P=QUs_%;D+Z?P
zpWZqCS|m99uI@OMXn{TS+PdQjqL|NBkmEnSNH~YI=brjtj)cIxL?NmO#!Bm#o|i8Y
z`P|c)85DCES2|}bE(>8%D%W(c%@U!bG*HKN%na)N$Hmj81z}iCNa|VsBQ&`l+ByuH
zqM>vRTOEracv_1qR8KDxSF7?958IhSL$l2PY8XEza^v#sNUOxr9`pE)TPBF#r<3`F
zj}J%G$8GrI*5KWUcCUxH3GNRR`HhY6fb=t`#OWv#R>ws>)Q=hCWs0mAvA~VkqjM>p
z1<c@a9MN=MFv7cIv-zXu+_*@;#V-Ac1<}u6-|37nLhcovqh^&{h}_34;-<=mGH1Q5
zZR3VWj404*aOHyH(c2=Sr`bX2tG99tGlX}s>p6Q87hEjUibgm%QTKQ_*>lDKU0dRh
z3`%jqYv!}&hg>d{$W-{s#~I-2(4MG8GcNFv!$fYb<AL)UXXhF&0}Pi{Qi)_PG#}o&
zcda-dZoKXmu+7s)pP2ZA`!if9SlDoUc!eL<MxnFIhWhv`Kizx(7&of=GPnOt7KFN0
z2fJ)14a_AQa)zvUu-<{EKqyBD7mU<12V-f-u3$T)C&!D_!3TVr&xPTayINCBqQT?3
z8}BDYK6IQrSJ<>h6jy}>#9zMCLy#@=9{08Upswfb4B0G({f?Ix@1D>@sKJrOJvjoP
zF1VT$G5lya+tqKzUJqFlIxjd+3gXS^<$`$|NsLB*+$qhchxq9Al?K~{aIsSOWy^pR
zs{6+-{`W-}sREuHzE;BE=CbA5lP3eo&mk3@HM-c_>L)@s6#@H-&7tuaIYbO;eNVik
z3xSU+d(W(8<hC<L{#+pna5zP`T$`c`(fJ=$i&0`|ijI4pUZ;rsU4jnj3A(rvG(JYH
z7Kh`GO0|WLB#b_<rCdC&3(uDI1r<D!xHBh2ezUBEd~JGIQ=Tre4~T#6ikE^@!r2#M
zG%{{b$|i0$=_0<|uHg~83<});i2FsUpi|H!Y;;u@yLK2=h?U7=!!K2@<XTnaO{v!y
zY|w)@IoL<rUmjj+7Yq{l)bWfve~<HBJxoo9;Iot>=;!yuhWKhAaEpKTFqH;bj}-p(
zyd>BJ`sc2#ra;5(PSKf08e*c{+2c8sFmU@!#_~T+#{SQ5xfrRBaPqdBF<i<pByD%2
z8dLGHr<BrXZUFVc=8`)CWF+~eEN<DRjbdrlH_u3hc=Vayi9<pK`pu4^!`pOlL-?@5
zGbJOOt4nOEkWqzP?!2Crgf6ZLo8Q=FX^ea=Gf#afHTX7#@6im>1$ooXzakMPV79Zz
zNp5x6UfOFDaZwjt@t5u2RGUJwV2iWb4|Rl`yc$4b%yCp@_cs-GbJPmWsq5d>fMe=(
zV|=_WzOd~I4fe5srrShd-3|&a<*Kw5>FA<iu2LcUfhA5hE1eJ?qF`IdXn1U>4xDQr
zu#B-0u>7*iiNi({(kK_Zp`eXp6-SHCDFP-HjnB95)5M$5ak68Q7TossTB=k6^%G7S
zTn98^T)$8#l1~Az%*VfZR66uJZ?PS7(nSA=WVzc>br8NU9u#HL;o#>X^J9zx$@A~~
zmn~FLalG`_w_%3P>z!$1V)VwfBwP1AgUSeOv2Ej%v&M@kHdCzv4VXkMm9wOh@H9sC
zvZT2+;+broY1FAh{HvSdlSp}#1YZvN3u}x&zB|$SSPf<wKdzh*kVcPBOHrDxH5%+v
z#Pf4i;q9pW>gS3WVtpmfZsxUyRQUDHaUm+O{^!Sb-$fXfLgwy9-E^D|d(Ud6Nk*>1
zLyHkPeq3(NYBamZ@Viq1R(pn(@K~CuZD$-O%HOek^RTCb?bg$?Ojk)@+R?+#7$szU
z>Dx9;1FGwP6`Ol0qW0QQ<==CwL}#po!|{v2>Zl7v+DRUs?NdF5#9!jkY%vp`A)wy9
zIzyU~f&9P^Ir^sG#NO?TW3nX#d}^1Xlpac<W8sv}Nd7cY_;~8>g8?hprdLmBT$jMM
zp}QJW|Hg@s4wjK|c`Ll~t^Pb#C5E^F>G_<DQDWyMj&YioB@W%xRsKFIf_q{26N7Gj
zC$jv?6SMLykgfDExY$7$c^MmQy!gHo{D(!#+XflE`1c--?`?v3U_BMye&{>F_2^TR
z1JxYgOC^pc&+#K6bVqs2vk_un|4UxSI5YgA)jWBc&5QkeUh~i%j1lBxQJqt5rihdc
zx}?C+PmAajnN-sW!pg(tn4O9#j#Q+W4_0%cNHg-tpw>?!@?`FJ`=cgkP}cC{R^our
z?7r1m%Nb%=M_6aL-x%?%Of0D_Y{2<5XPkL{5r=qPxAHp}<Jp$XqV46Z2%l7yA6WQJ
z%(vx<+^ICe;*lhung$j$tk10wXZb_?GCDF`BX5L#&!VsVWo3cNYP2o4`d>n7>)tSd
zbB5S?=2qp`eavvp-)-s|yhMx)Zg;KXFvP?54OT&d%;;>`D*Ei%GI6a)fBbBc0rcDo
zm1o~E;rfesT#;Ramn=K(lrkAW;#2c`i-$~D>0jStzKaRx=e0`zr0650{qt3yXH2MC
z7`vO=#0;qroxY>I`grNcb@AOe6R01Y4RVZFF>9?p<Z_vYpE@)8K}O8@H`}z>^OOyW
zhQr=5>NH&Q+I4On!(V$EZ*QFU;y_5<+ivEkdg!WRp5)MAL1s4**Uj+5+*0!^(p&Yg
z`B|7`YzGU*C~~2Nzq!G@Y2p3AFJ0JlW<Gj#i51XyQhhwb3nR~xt~7@J`<gl@9EfMb
z*8OD(WugMO`7*tFi<K_kN@-wA5<9#b)vB^91tIdSLO`%v2X}Vf;EXBbK=pYKzUz}h
z2-*@(`DdX6rkV0iy<eQzrZ2g5zl{iFcDn6$yrYeYukVJmeYp|;=xdc$4I}UIoi_fX
zt&J70GS{_pJkU}eG8v$YgQ~&)&+I7`g0&NAxmA2fRtV0mnv#H*?R&w)+o>2`w;y{i
z3qW$+2an=fDJ;)q`v&q*F|_vZDcO&L;FT;qeCxIhY9$lS4zz2*>#J<T^FKmhmDn*6
z^IQ&_`L_npO0^JRG#e0469M^E^ef+01^kuXE%PH=3s+P&NSsR*MdFOjW=%a3^o29o
zSBkZ8`SkRR*@74j<hckt>{mjWg=Ffh_ga{s3$8nROalBIpQP`!E8|q*GYw7>1OI&0
zRJg7b)`pE$A23zHqG`PHXeJeB{<9SH{VR?BYhE}0)~G^rHskxGp*DtwX6W&KvhWzI
z+;rJW9al01C&$@z;OKhqx9PAvdhKp-Wxdxxq0sUCy=)90KmD$noUDk*sr{dNLp7ni
zpKbe4p)Ou}d9>UvAR%E#Lr?<?70>Udq?P&W!E<`RbKe^!m_9uf`{kTAx~=ahys)7m
zB;uyXnk8jqJx?`RV7!}TRQ$BqULR|CSl_Scsep}dneESAU9_#pagBu;KuJPh+ayF4
zp;u5Y;G~E5AxG+e-7~~4PLag8d^Kp7&TMIE&;!fYromDLV-&sPymtMyI+V|}--{5Y
z;nP!Y8R23R)D0SIl=f>tU`XfdVIvxx>>uw{wlM?S{yoCo{S?^AdM3E3GVqaa72lXL
zhg9JjR*7etaL>N~VxU(KM#GMK*X3JcA;IO_=2$J*Y)ZZw>aGW$t0Tke_5?l(8pbd$
zYhkN-!7(WYzhhF?<Q9biYLtey>+7iKaOx3jG10-+m!Ctns?hQBgGh~=Hx-jKrhfW>
z7XC|fb0oc@gSEEa!J0+|HNVuIW<h}h5njUTYz=;&e!IUfwV)o56H)E0hHZPaEuyQf
zF~7@zCth9)nWp<|odU>sm)5l<XTci&no@EamYSF?46@7)CZVcF;$M`k4Z1y&M0RN~
z`tan^+Yn|sl+K-W&Qr8O<3I07?QwOyGTC7M{ImqR$h-9fIc-p&{9a@4X*C!>eA_;L
zN*I^E)ZeK1XpN$`V*67>82wB5{jP2eUQB-slKgnq8mb{`=L*uu*!lE^xcF{X6!Llg
zm^WkirpDcE{;Nv(FjqZyu40K;f0;0|{!B;wR~?U}Xc7*8S$Oi}!!&X1+B`KXf)3$F
z;g2-GDd0q@Uhf^fKB85dZ~4|5I?^Q+OIc<aylsD(v@NoRD14fk9-9H&<>IGJs7d3l
z^eBE!x7XihDSYvgQLm2o)tjtIl>nW0dMEGZ|LOye*st<>5@`9D{cfX(7#>^3uI$$z
zs$Z`bd}&v_6?ngvJy3ls3`57C%;OFt_3`|x6Js|lagUNI;{HSsM;(hg)mldDkF+Iu
zxV^K$%NBAD+Z{fHawxJIi;mS>M%KizvRS}k+T5bvmKzEV+(NE<M(Z`hTtp-Za~$;a
zOB~VX!2JW0QAb2a>X|R>%#TYn!;}Q?p^LGsm{%0pnQt*%Z+wHCv*x8Kg3ildv*cz*
ze(OK)EdIfIwXhkJ-NL50tgzz?d+RC@a=bRC@@8Ls!KTejkpU*i+|===gX<p=M1E?Q
z>DF5>{W?G9{S#w^Sp=L|e6~P@q|cpEu<WisaLYMqt)wx|T$XZS9h)N#-c=f9rM|Dv
zKVuS}bI=Gvb|Dl0qJI%Bs=Pz@L!0aEtv1{|@y!s5omc&?d(03IQl8M?zig<d8#A-^
zI~l^~L}kN-^iRUOIX76f?{+=i^=e4WLjx#wi13^jnIJg1rgY3-rxJUU4kt)z8bFYv
zBjLd5F+wLKMCbvnhDf7waFtxs2kYco#pIX~qS@r*vUE@*A?i^Zxh$iP%P$V(sx=N1
zg;}|o#^KGxYbQyIf7vud#(J6W*gZr@<o)NvtoV*N+n;;!xC{+(;dh*qb`BD)Cwm+J
z&UF%OY56~o7BKSspj6d{s{=&3XLLDJ<0m3~M*DG>x*p<W@7$`AA0Vvq->_Dk=_Pbu
z*vf`7`pdGizexS3eu5JIJ28pD!-mDOW-S|C<Y^lp$a>vR$dYVo3{?k+*b}Pld^dG4
zA{o@>`lFxVIAgwX17(P?ihTaL?SnRa^qW*B%?1d?)kAVyZN3vfK9;-2vS`DgLQT@}
z;Q+ysBiqdpJ4y@~K8pWgLdAgUG0vw9{9XTb5$-KNh)s&q-rO--SlD*QrCooB;PP=7
zj<=sAG?z+eYHKv{(_+uOx85+J%Kg@5b?PTk|GU+9e363A(*9~L&+i1QX}<e#;0$r+
zl|X2cJq2%*y*F{*86gHXD$U5w&Jv{Y-z`yD8sIw<VyjCVBN}LS-Qoqmi7U!yyQ?PE
z;hIH0J~RA-_$*lFA{aAI6va^}W=`rjJNe+ed)ox@%ek;BKWc#p&h|{@y{U$txyoeT
zi77(0r)d3?f<>b3(bF+qK{Z^8$dJ*wF-^#K7$|kHEEBPM{_PLq7``ME|M>d!3~@j-
z(zfZ^D)H9H==GBc6$J5HA2s&<MUVp1!&1S7sYfm${{AZX`f1cbnUTZ(bfmU;buyz#
z#OTW4H!?=J*4<@#G*6H>#XYB=Wkv7G>7XP(GWv~U+`g175czc_9-#-=F;vJOoHMQr
zuh*ZFsBadD>1U(4`_6Hq)!c9-KTa7%Q8Kl&q-7$3oFfs~$Bje(S@tT5D1%MwhRdx7
ztHgmLF08jh_~1vZ8ScERgypkSy!wtz@Z*p5kdk5K*@IPaIop*mcj5kyfX~b*Tvk{u
zE)>F+Z`v6t{7Q(Ijq&HXz>3VQs4l-PBA|L@)eg3j;BQoOT;?D<)CG^V4(N)(Tl}2A
z>tzz`pUidkWN;#-W6AZqnFQY2hPF0Fkx*{u`LOQ`H(u6`L_5Sv;p8cav<z<&T*}7G
zg#7q0>BlNPG$sSZ+A-5~#`##f!=pDMg19Gq_GA1dd3?*Y_95>lp-cEie&1yw1aG`K
zZQY=V#3w57E+fJ7$>s%iMy~q6%%T>(MF~Z0o~7)|jQ)L=Gih2>4E4Qq?+zX^79?(%
z)iH9)PX4A;T_FjiORCFN4yu6q%;mX&oH7nJ910XOlfuDkqcf4cYB*74U3vJAGHjoE
zpN~B!gTBOCOQqi$2oI86N#a+*#*Ci@2PNgv^IW=sQ%wtR41BI9hN^<w?o+^(U`6yP
z`@UC-(8m31-+PWps$-Y4hPqA<39p!sIluPRh4Z+X){+7Rqr0NIy!@20X)pEF@@YK?
zs<h58pVq><ck9L6m&s_|k+sZTL4(1hW66;~9juX!sc0!y#ktqjPfkD8$4c_q7pdFy
zaHo9XeX)l+(u$9Eu~rzMk!<EvV6Km~Cs@onxhc4t|BZ<$(hz+=njb~D8)EE`)hMZ2
z6CRDaH(KTm(VR)~N-8nN=xx>iHri34U7HzvO2-JXf1GLeNM;B~ufDXiS{wfZ00960
z43}p-mX8<4k-Z;e(_?R*$IiNsRY_$fqa+$q_RPwNBn?F+DkDmnX^_-?gv{hGezcS{
zBxR4xzqjYj`J5Nm^*vu%ibz&3w?3Q;$kKiK!~}+7r8PGH)q=E=Zu0IaJ@|6{Xo0pP
z0m=0CN83YbVE^LU^Y9D0aKt2xvHuUiiS1?wWm;%(^8%^*RZ|BPy?U2H(gNDj?Y7|<
z4Ib^3yYx7K4iV&yS0+l9K(0M-Q2s)LqqZeg7NjP)Gv+Y{Zm<IJ#&dno^JvhvB%J1{
zqYClQqCORrSb_cMTtS*T4K%kAhU&ozuzafP=raLpn5Bjr?H1C4g5EDp->az5k;XmC
zX<-erku%gku^NzZB;$VBc2NjyG}iiRWDTLA7Ft~eYH*WzA;j<_AE?ZJxO<D)8nWU9
z9qKbx;0L>;><%_Y*q5#DaddrepNWdt_k&6xf4=afr}Yrgl6tXwT+0fQaz>krWffrm
zjx>h$ZzH5n#umrJMV8>Od}PP%L0L!;c?n~lD<p5d14|2!B?Q)7G%zWm!jACZEs~Zj
z7_idLeI~>LqV|pKyS^w1{@iy?-J)^gQYAr2>^FxJ_J)BYUqzu_BK}tXGak(I3%Viz
z=8&?ZxQUf>BODB+1WOC@<CC5H_`E9sjC6PJz7<IUpVm;W&j0u^i~qrcJUIY;+oYN0
zz1$GRx1HsOB?XI}FN<CV0`_(Gs1>-gf|8oXz~x{H(w1uuHElBk5!aMmem@yNjJr~g
z8cIRm$raNro~Cf)-QW?&`FWxsR<hdOm4X5VhZJ;9nSkPBZxd&uzr=8B_<>dp3U>CG
z4<<e|hQ+_bI~J=x62s0DACgx1(It0KLVnx`7^*bC=FIpL(Y<e%t>5rt@$N7YaXll@
z`@7GD)$$!_m-{W5^BzBDO3cK^C2xjm_Oscelo8UFm1V-^B0ui(=}J5O(GVu=c79^h
znk0{%H66N~!jBElsK)0_3}NfL`{H5!v*b@Id@;MgkJhanvFt?#u(WH{Dr@5+so<_u
zu3O5F0~*M9PQU=1O79;?Sy~|lrj&1Wed0&Vd|lU^st+w!6^wabGoU}mcnG%=1y>d;
zx5sSIhl+;8l&}OQ%)Kf8voe)}%J+@P)D%59KEFAMx``QE5=N;`3<7vvqxR7|9zDp&
z;EcFe$%1UQ!J|=^1kiEf>vZr9U6_euphz3C;W3U4k++Nmafi#l^WJn_pmy<{=6}JC
zo|h+g7_A8+Z~42Bu1*~|TDxtaa0@5qi1;^md=$dY(f$*^0(2lr(7W#Pe_S|oj5&Cq
zcO!}kRCX+g=zxY~#tEws9=x3k7sh@HV|aVW6Q@>f@Db9A?3CieIjGOSCM=5m&Oho7
zC1`_o*DwE=0Dg>|yCZhQOAPln1pc@W+R%3~DDI9M1;-p&e)hMDW1U=p!!r(TP`emF
z;dT_jw#PliPCF%W@6&`Ti;r{=D6c7_xe20gf4h|MxD?KZwe_<;r9<@mKzl@x5N<HG
zza>?%3Ax6{SVr>c&~H4sEPj0>W;yWsus2hY;i?EZltqWEDvm~tUSYH!61L)Rkii>H
z9^;%>>Cnpk?BiKkQRLmdjR<L%MPa`K^I64o$WY$b^*UJ$r(4B$h<%Ym@5(;SwkA3#
zvj690xg?H;ksj427!)vpa?Or;mJVFXyVv?tBr%_=yDL;h5&z9A%U2p`!(o-xK_+==
zq=>#G&0Upn;-TY9oeSC!DKNFGqIVOD_Rp}nr77cfiJ+{%|FmISdU_Xc2Njt++S{CJ
zRj_pC^C|II9SC}P|LsV%42~YGgQ3r=*jN?OTC-6Xu4WIv)z6nj#{&yrpZ`-s;gAt?
z{}x@CTKNTUGUTwgg*&2dRUOYV_kTKcNe@o;1h;QUl1J~f>QDdu&_LzpUxD(W`VgZy
zdh|w+0{(AJq&NJYCJyV-Pai&R00x&0HQ%`^;s%3r<>jVY=xDZS<3yw(>`{&riPKlY
z@H@AsYjU(u(R@la?#gEH8kPSx%&d&zj@x_VYPE2?b64hF(g=!jO7_T;%4iTo)icV_
z!t3dU5t9?fus4&gLL5-RcaG{?<fXJwT<x&!u&gP3=+X;z8&<(Yy~x*m9-0`N{>pRP
zE;9%}U$kq@QWZVmRMD8d2Fjbkh1BB&jD8CI?0ZrbrD6n&c~{i%$CA>qw9NodqT~NG
zTvWvXxL>R0tBSiAA_^wg`%TQyMbtGy6=~=FR#@|u@t6Pp_<sWCP_SFPq=T-CihR6z
zofV4sBGj(k@t`>*g?D@sZ&X2>EmFs{isW&cS7Y0mTjmh;Wr@g9SHWw?p3WY;D2p=z
zC6PQ$=FmZBy7o3$8ISxsUnL$-#e_KOUc+8<xOk`hp#3!^oQuu7M`x76tx-}5O5NrV
zG5_J8bD<)htlQB{F%v@*i32;YKQ#wm`QF<(*$UWYDak{9wGmB48BCvDHV4078d^*7
z^7y-TSEf_30KU<6cr))|4q}CQng;vj@T2{kZ7j`vI6zDN+bU%aCuJAIYYk;_*A+AV
zZ)==b(EISt<z4_e@q2bhg=DbE`urv11y)RVD&Ren3^1{4npg4nCQK5EjnpmPfRjAo
z5jk4xTy~Or{eYB0t=?@--~KV6d8n52a0LNrz#rvYCV^vSOx=yISIDv9<hK77&A^4B
zLOSoU7<MT&Oe)kYlEl4lw+L%9*yo<~d1z1s|2lU>L|j-P<+N&TdM=v6o!($$7gb?w
znI{wCbmmERE{QAeKA6Cf%Mq(q*M*S6QJds&W{%veV|d&~)dU`Mnv}|`3*y+R2f@q1
zb7Xnk{;cj8WB6+Jjl2CT1!F}nSHBsUBj*^H5=Od>V2S4Gl3LG?TMKvIh$)#TlQO3(
zzN#2OXo<s<+#o)ba9}yR{APjlU5I!veR?ybCbVQ<xyOUT?K0AS=8Gh2N!d5!5kuI2
z;MBw#l^f|K8}G}>CGvO%>*lVVhOlyjmG!|}PF$7|8$LI%LTV>&ba`B304b&o!=W!Y
z5PKRbOUBp88mCK<^9lx#yiL4TZjc>Cy<ES=h%w@^ms%#*v-M$Z`i5hJ7CR10J96>c
zGoiPseP<q@J`f3$=TB9!;TD4t6Q$e@xZhjMUm#r%gqWFvhdtP^C%rt3VTl<ZRK9Ll
z;?x71De`5J9vdFA`dWQFh!qbX%kDpRQ5PPuU#b1DK40ZbfAV;l4Ns@4i-w8n!p)aG
z4io#>@YS+k>D2-b%>A|1Q2UM!=qY{ukav#_KUT{gmh<Am!C?>W7DF8n$P8p&5obsC
zMbC0H<-r}lMch5QwPB&Gvo)ZK9i>J7NQfHoVcS&wWo3VDkU9|*Tj9%r{o}e5r_1>9
zVBf7OA3kkxkZR{@UgyznN#gj2E($VdQMr%Q(1EULdyZ`z7w%y^xA88EAlkHr+r}NH
zLuc_;VZi`y<PWVJ%5oIKS3_AxM8xS3n0l+b<tYzNMxHm_Q?n6AJ{A6`>Z5_*(W?xW
z>U`+M`TJUqo(Mi1U)=v8n+8V84P(a-@?-NA=10tLL{T;IkQf}IL5y6!%PDILrW9R}
zl1dRrTY=b-LPHv)c*${YHWff02Zev&CW*%?ggL(p)8KZ`%-y55g7{!=#O2%$X&m}g
zF~`P01Imoii}7_%SvhUH{8@{NKN1SwdX8#AM3pSuuGon7w%VW0+sI&{h)%WbxE7e$
zeu}eT5kX<)6`4(;vUr|lB4mJ_296<4;y&S`7=4Z=JXb1*e8c9sdsWx}W-s@o;59Mi
zU}P`;GbN8a(@hV*d(a?%?0rb^Z3+A{!*kkjiz1dT_;uS9(?Hngh9Rey6rP+@KVf=X
z38x<0bow*Vq02DqoTI@e+;if=$zWC$+*MV`YaB@jN}sW!>t!k?s@ueAA6LaY9=>>n
zMH^BVPWiiL%3waL%s_F68V<WD+pJb-!x+`&!}twZjO5m~$fs(croTP>3DW^~F7IDm
zWpc=<r<-`wOA~dCe^ko4>cW8Xnc7uS9{-GZ?dwj~!k*F#_p4m>z*PL~%eOrWm@^po
z{vJWY&Cj&IREO(BJL~zNkuQq)G<5HsmxVN}Wei#qC^rCs9(}6ZcO|q~3sG$SPD6QV
zJ<;7uhVVYPR-xmaGV(S*-XgStjz2|j9t+rO1a%6MWaT<vy|cQ9YG!E|aAb@3t5?Qg
zwShI+J4O|)E--cddrHHu5NQz`y>%W*VP>*~8s=6qo$lR9L*<hP@bOJESQGhyvYBew
za404ly|vJaKK^Xu90Bb-UFBk*)bN`!i@AE22HyVZyh}3&z`#^sG;&rA>;AS1KK`kO
z2G`!$XDFG&ouHF3J@3?Tlcv7t`R6KVBK<;JHP0O0$ZDQWNK?avgtx>2FC{$S`@b{O
z09Qb$zbodDynB!BV-_{s&?L2g?T0+x<EQTyv#<c`F^WQ%gDTz}Q&#Eqmc@R#Q68b=
z77+W8C)YDr1s^ae7*up`La%@Hn4BmJxJv)~$M?80GETnZh^9#3(5}MN@IVXbq?Wn|
zZ&AVrZfd4%MZ%c2a?0Jz&H`2?W2AdI6jA?!%<SL|0Zcwnze8Z%%Zjy^->^NG$6`?}
zl_3f*s;vxCw!Jfl*LH%3O?~7rFyh=0@sSO43G3gQXU&1hGI3RePZnL+ZHfGBCM<1A
zSNTLYhx(_!icxh`EGlv{c^17)&h~|r^1TIcF3XB+`Y4TuYzO|Mh0T&zA|L691p)XR
zoZ9g}4@p$sTh;k`WSl(IaJpiU6F~fJLwLxl7*b#HFE!=<B+vg+%6e);z{Tdc>pL4o
zFzri$M0C**86B4S_{d2!=t|#ioKU$DqjY$J?HxamIgh-Qd>)&^RZ**&w@rdrwp1_u
zpzJ>~T}`3()3^ylSVt+%Y!JYn$pMRshF(&p{N}YZO%v$da@XUIA3uJStt+?Y=_6IR
znPvxrjUnH?m7H1PL0&AgHJ9!uWu1*PB<hU7{pY9pNk1;+O8#}?#+CPEynrR$h0O?B
zMWbF_QRcw-dwn+B6h4z{gQoj3+%`j@!87q1RW__uiVC*f`jvF6jBbBiWeCTY4~UKg
ztb0K-S2NguCwK1_gK};|cxqX3rD$RUiX8jkK9{rZm8);;UHuK<Eq`iVcqtS9{52K8
zAU;O=xwl=p)}s$@+XZuZav70Q`k~jcX`Ecz7}v1FL?1H9uibl}F<_$;<&I7JB)KiT
zXJqevJ#eGkfg9`$SX^{s7MiBX&KYUzGD$s<`ekqNa&?uIP<BJ(?pabG=y`#1rY`t#
zsE289UM2HX{X=8N=SfaC_Z*T(7k(^EdMiF#A#YE(_i4&6lG7KHnhu`Rfo6vkVkLfs
zG<F^owF+J)ho39<bMfhb_U#Ui{!=UDVBbRdp7*PykBaK2>MPp7E@*FZsd0tOp55x(
z{(u41u5OKWrD}t~k`?<)lT~uyVR6_1I}_px-G#A|4tKJ@HCO*xC7td*bow2(0Yiq9
zGHT4}z$s)W;@-DLii*gH_bf2u7Uz?p=>s(Qx4MI;G>QR}j59PdudyQ6@8?^yLTS*^
z#TGs-$A}^~T@sJ)X2%;ptehtWXkZ<*w`JxRBTh?51$Sw4;@<FMW>@{SfU#S!*0+-h
zmnx_uhxNI!c7JH?y%(CWbw)|trE>#TipSCg4)UUUpqcLtF-@4LjGW>4&5V0AYofyT
z^J8*b`%TVx4d}}MowHGu6^p68_F_d8y!4%Zw0c|}z7<B_a7bsvjD>`bYGy%<5~x;<
z@>7R`G;!;Geh%ymsQY~(NeGqq+0F&ese#h&R*%(sPORF@M`fo9;}sif`?m{fkke8A
z%=I!iE|&=YFXpoddZy3S?lDk<i~v?jStc)vnext?G>V~`%7?Mbld2GUdG^kX7eC(4
z(#=kMErDV6jmIC6s$i<X?9QJ_K`wI3fDMB*_UUpRpcSct@(IJ1+Cc%_bo@nfo+cHm
zwZx;o6sQ7+^=-N6Ekc-is5h=DWZipQ|32ZaSA~>C)AFv4jcCP{)6>x@i)_)^*F)!2
z!Ll{(30IH^hWb_&2AasDyM(`iowFJg{wZ;=(G|ngOq=SLsDRALR*KG_)ZnQ4*L+Jc
z34D|iJiO|ngblsh0xB}qq4ovq7u`)#NMqdm-gZqHOB;@l565YMf|^UjUF%KwdNF@v
ze6=cWaf|7xE6@aO5!z_px@UgK&JGzku8vl#wu^C0>)h8Gb0Ozs(B@=@FUo1+#PPYf
zjQ?mLXj=coOji!W9w{8n=+;7)+ZC$8Z|G34d|GjLj6BlAhYAfJ(y;HTbm9O0YJ*JN
zA4#)T1&pz{i<QUexWo5W@_s#C=ptGDm4%hC^sB|UhaB1{xw2~PTBrx*&!5Ulc`9Su
zvmb}9C2Qj<Z;`Z;jsb|j3}t1%p@K}yZe6}_wef!AY{bG>LtvTiWaw>D#hS(gGS~lT
zqv5sILy`B5!20J<NlCXF7VOLOf8L>u?Tu?@wecn}vb{3J_K7;O-xkV@JF1Oos}rq$
zd(5CR*rDdOp9a1?{3tQ7fsUKczfLgZ2gs!)XuJN_K&nFP_0E188i#$ibo&Xwd2%f~
zN=*~%$&tx?FD=X}yAVseXAX%xnxABqHSztAbWe*?b)-r$1X9<z(=B;&-@ic(yc0)A
z94%Hs*Xzfg&Azn&@8#L}$aN2FPY6tk@mECmrdoF|T}$BXpYWTBS4WoCFO3zla+nmV
zAFm&12|2%qJ&%N{p#!to<{hs#p=0m+N8TxxP&D2l@=IG4dA-M_CohYkum0D{;wVeF
zmFP{CXjMj|I_XobeS-Mp^VNBAdrP=?em>pTR0-`{S1+Zz@!(J1b8ZzpmcUW=UBm09
z0^Z<Sy>-Bm8U6cuYBOsr!2ZtCZILNCG(O757hw61^i7=n-0NroK~GJBYOG|D+04`7
z9pf)@scKX3+ORpWd=`?`xk*K;!@ct4oCdNaW}<H<z#J|V3xP4SG@3+hk9wQZPb7xL
z@eIrXJWN(RV>u~~qt^e~9cCRN{tnx437iC&ncC$g$03Sk13NEvM^6ySgUPoKu>$Og
zb}{01*oZmSQCFfbP7_sfwI4ZT2~dzIkLBqUz$<QC$3sue66LvR@qwmhV3BT7?ia(4
zx72v1;PM<1_rI^(-+7vXRvOpDzvtYje3j?ir|~&L;t})L`)MX{SM2G;&?q~ynCaH%
zwayV49)rx&b;j^3!Z>Yf6bsU8i9^@S=LnszS98*)jlf)ZqP_AU6GqCvwb6>2C1(1s
zb13Q<!97h0&Z@0z<cYM&((%+8VzlbAL}1irpfaTJi5yuZ{Rfmyw<k^$WA8S;WO-!>
zCt6+-Z-nN^sB+=l17TBy+Rn9wbWuYHP>`P4v}KB{_|;Ze?>9*(+kfaQ2{Hh8WA*Mm
z@BWY%B>lF{g-j4<2kr7WyYwOZY`6Z-`Jd!w0o8`H;^Rc*1;Z;oG=1Q1RGwRT{gpgc
z@ZW~D_&)^06Wbqg*Yx0p<<Be4=RcC)K5pI4Dmg}cOVd>s+@J>#%W{5CPA_>K%su6%
zMhOo(W9f8=E)-3TJ!LcKAd7W9Z|E|Q5~`1%#7zFs0l)0a$(!n)lQI2Lo5me~5pm!1
z>xTF1Ky80H>yT+4=_`}I*>Z4%I3MWLQv6;Uj&7^P$ke;U5vGmT%Zo>dU-k5x!tUBY
zR?e?59(hjGZ&luTqGW`y+t;#1^b;M_B}vEDr>}_Zca;+Vejg#)-II@BJV*z|GBK%&
zO<hFS&q$vXk6*;+=PR?`e`sK-(!8G|rH42c5}3HmJ4!^S>2=3M(_m97ABWfLKEn3t
z7rDsAQR0NV+ruVK8q9sI@G@E$Ao%>TCxbdh^a<KfcAIE{cgc6DJAxmH(3+TT|D->}
z2a(lk9bZj&b+UMSk@{!i(%C<(Z8GD8#MZGKwi_By{4bNQLTQNj!6HdbNSGjsKZYHv
z?p22%=8YaDjbDjsd)pTmFHI5!0WYn@1=WH3r$by@;5S0NB!F$Md5Q>PixgFHQ3EEj
ze*X#j4}x+nk!4}i3?anj&hk266|DHS|KaByAr@~<8Cw?45)+xiLkr_7usCXR`yb~h
zvGI?N-HhElVdv%lxyVWd%&2i*wHjkY^nptrx77a;v0EP;d~-_~xDB^Av&Q}<<WINB
zIGHRFQ8H{BPOd7!$vwRy({U5To@Wt%N>8m2Hid{U4l04!@QeO;?<R@S#=aN7HZVY$
zm{Z2RE=5q{`>`zLJWUMT61Lms!w7Yw<Eq|-BCLIEYV(<%A@+oFlgi^vFnaExjrbD<
z@RoXBSXw(rkjIBmB99q7vRYh)bQFMpv^rS#-U9K~?pz)vh83cj$Y*z+$V2g~HyRaf
zi^R*bp+W~z*?}?hJ4u+!gWd<(FxsXSLNDGTx22U6>^fEUAA2hYp@G}EY%13X)3;O2
zkybq5JbP{Wt-l<!oP5Hu0T|)k4BI3-13whbw@Nxu<iI-4s9~*x31a`1#`h*rz-pxa
z`}hl4$g$?F(u!vWrb=6m&q{)D$MoE(KasK^@xp2))Pofcsn|j8f)I=_k975!%7WpU
zi1?*r?6A$!*r#|-7-DW+e0W+w7WR9DubP)}!n2Ec#A5|9NZj}2h53RE@H$PXb1U+I
zK4bswGiegwk?;HE`J@bpL^yDIe&U1j$_=hf3eq6hCbGkrNfvniI>*!=r$E-eScY#W
zsW35hTjsikEO<N;lWXG^1SRXe4ThYuQ1%Em`JIpjKH=4^DZN4<N(fbae=G;4GdEU*
zMr2{{)%PW#&BEYyqa?*XNdZ)<-qCxL<bZKv&)*M2qR^rcrMeiP1fDZS8U1$hAdvNP
zAzMuX7^Q2EDn+Y+>yM^96Bh-z_h!Gqr`u9ccxxprB3}&zeroSwC{%=9Z#KLSQJ}(t
zj%dEuM-3S7ElTd$tPDk|jhS5+W#CYK>ZNz<|K;Nc`x{YN6+TBgeaPaI18!R6-6%sk
zJkB`y>i!9J=rCU0p<gHuWl4V}gI%=2iE7;)tgQvo0&afKEES>NGn&GEL<iUggD8HQ
zbTD~Yu@e7R35-q_W<{<0`HamNQ|gK~Jlk$Pu#lqyN1HW68D;cfrzfjP9E%?KUp!lL
ziBJQ(i|&-nDm};%b~yde+yJ7+mVZC&RtKG^nL97%*L(1);~BMko8jZ##AP;fO?V;a
zqisB*x1L+0bN@6<po?A1nK4NVu3Bt!&xp_i`QRLN%jaewOEZ!8u%JQsx%Z#-Z|K4v
zX;Djte1P{hi)8vu8kF+<YOr?GflH_Mw(aUNho84LZB6f_L9{;ez4MRhK+6$sss3mI
z3_6dFad*%_|9$UENYsMJwvV$_q$Mnt{CK!<l?EZs>>?U6YS0!~V3!eK1(d^LB1ogb
zbqP6NpLj(Gxqcwn`<oR!KY2-^R$mKPX6lz}dSrmf?(L~Csx@SFoHgO8)d1fZYYM{+
zabO$i2o_YdhO^Rr0Y|3QAbWI8Cq`cYzWnKNtzWW&Ph;M-Eek5Zx#J~^t~U!v9&>y;
zbI%GkYF}g;A5elaov*G#brVE=f>12Q$O>4_UpgdGqyS%9Mjo;|^pg3r%Nfd#Eg?BN
z$Aj5d4u<k8*B&;{k#a#_DE4xeK$+^;=dHV*j~DK9)z0f&y;SF<lWqY~M_F1YsnTGO
z89P#z%Z4#~3`?gb&0!_c=^Vi+4mEE+-Ww0&LZ6Qo9}M@J1NkaSwoOYI>ITX(wPbk_
zJKwbhwgDUyzeUZ>7678{o2|naK0MMqHN<EJkhGh8R+_;J|1<<L=R^4Mu}?~pekcLq
zC-XD!$Fswbg_5G&1Ac4}f}B?;%s}GsR=K<-CU_(f@00$59~<@kI9$$|Ld(H+y|k4j
zLib2-Y<ej_TDbmmQ7kus!3#dcs!Y>_;-kO)ZYlg|AbI<{`FmqXb&zU@Z{G>S-C<6V
zd-&0)|9fMJfHCCcN|<>zzb4{9s8(8uADdT(zI!<vK~c)_Lp>|aq(n5Mq1zH4E{=jw
zTES*`QF}VUMQn)l39K)kf6j;P`WWpzX9#ZISMT0B{hNF;Jdk+oCLgL?C}NUyG6XO0
zVfmHFDe~s+&RWGhKGcpmAZ}M<0P=NNRZK7D$nU95ExIjyD3oeQiIX(|#zBfu!revE
zMJqXH3pYQiZxMO3GfN+ym)(zdwO%Eyv^%~%*v^liJwlHqaO=aK{;v4!w+#3txS69m
zZ~d-?(cdFy^}umgPH(+G6V_3lJ(=L5pubJAUjUyTTy=W5_F{emuE~uUu3n^IYDh&f
zM~*Hm%WyC~k7PlY)~qL<>H=tUpR&-Xstcsdn>p8MR&3n+zcbf|1n^LQ-`JA|9q^ve
z4QdW#$L{m}bp0wpR5?ml;`Y=5sTwT*-y{eA%yqSC&lbWahBjPb(gEfN{W7z0T)0ih
z`PyvmM*Kej0096043~E})qfPn?UlV}HrKt}Vefm4kg}qbmQnpsq$DG>5Q<7#B&mo7
zC6Ung6b(g@>`EjvBiZxk-}9V5&Urqc=e*vp=!|f#)<?SF;56K@O<Dk>&8Lp~ypY7O
zLFuzoyLDk5=MUxIHG;UmusOPNQVNH}0^&Z%=z_Ua`L1jmVf?X6pZRoy3^qp;`+e(V
zz?z@_DS-?TwAQ`G)<?)<v<&6i`#c8lydf7H)Dgw7^2h%=+~l#Lm&b42F$Pc$yZzEJ
z5yNu+*C+n4uEqB2BR5pN7{DH?n$EdJ9NP<ydFVALqGjMGaJ6MXNo8oRUc3Z8+gnj;
z@IwhVy$U$lY|4Nbjq=P7?<7&BOK*6vM;SBXyyQA98PM7?F_ynp8Uyna-QuQHa8pHd
zY_1yveiUc~A4rzLke;%$!{Ta~I(5tK(h&xn>7Uu`yG9O=giLEBFx9al&GC_R0Rw)X
zUlBf%BaegM&lW0%YT&U-KHsu&26+1%jS}9t7K5Jrh^%|4i8{lhA^$e&0*~m^IUY_W
zyz$eawSItv2~%bL)`Tv+*(fyH@Mm@IpZVO8DrBrVvAlKGK@YgQ1nmUADI=wII!w)j
zg8p;WKAOXNfcL|yCmU2yCVW?xVz@TCIX;p-ou?16N32XtYgI9pUcUU|v=08%u;(&5
zW&r&o36gBD)v%%HzU;n3R5YHc6|VF*gk$$zq`#M`qjTvIyFo)5dIrbEKMXR03R+0w
zhdd2bx$Qkge4yd)R%7qXGsXbzK?%0WnrIK2_dkfxamVcX&dFjEplMa6Z{114%2rXg
z5P3QVa^}*<hD@Q|{$YQ;tQPVb#e3GV((&HtndfO*<{)cRS+K223nvb8ON_<Ruu=S;
zf7gE&u&rG>vx`Ya+s3ZIrF<$jm-BRp-n4|?vyWUVvdEY!m_#_P?zQ0a`-ngd6IkX&
zb@`jfxa-dZtFV|hdhW02?)L{Mv<z)p{6@yI>e^OKA2K=}IrND2CqU`cOwdv}8Rd`t
zdYThS!k#bpy_vRFKpi^B7z!X`W81nP%YhoW@KwZl+a)XLTbkvT9$lS(JFh8iof_V|
zx+`|}qZJ$wYk9P8y%sWbq`41Dt6&!A&zjdGR^UICl709%31v?7QalF~@o#kJCFeOS
zV7RY&ee1F&a;sLHQLU51kc#+L)^RJS{yHs|cu@mWFFEDCoRC74Zd=>aWCb^ySl-%3
zs$&-W-89Z1ahyrAsNH#QwZ2{GCAYg8*3D;g3EPRFn8U$m5<ym=IL0T`pr(rBxu2uN
zxdo7UxNFZNO)KyM-+IQRGM;hg6K&qegW569PPy#>nSQC>+HaL`_V$&F&pbI$@<hvf
zhzGcB9MGm@sfdD(x7O^DXGK1(ZryNgfVzS;_5B<QIJvVz^Q_boVfEgH^?MEze$nr-
z?dg+6lVIO?hSnT$;q!>te7_~=Zo6ea&?k+JT>)y>)=v}1c73z+*0F@{7`gqYc%{%f
z^!R7)&6C6}Io|I3p%$?A(91K*t`fM=Nol{Y^^YJW<|px0n#0*NlX0R#4AX8el1}DN
z5EsG?K5yeT2kJ;gX39oUwExtcJp62eXmGtaOWR@wbHbmSrP)N#-9=ic-{c?R@`J<c
zZ@ww)?XwT>FBL+H^OY(=rAb0?SI5w|6%&BT37-dr0{FyQS^uc#6hZBcrb=x$f%_ls
z{0tdbgW82k{rkU66TdD>mlnS;1}2xkZ?`ueX1{x&Oih?2p0-$AEnRC29l!PT;>CGU
z!OgHCBXFKzUsqwGdd3LkgYEA1u5hD8*W28#$VEaUyrO;TpCNdC%lhxOA~&9PD`!$4
zFB58G+l4864dLdk|K6St;li5M7Zw%qEVy{E?;ds-!1p+JmdY_symc>HH2n=Lx+c8;
zSL$H^SBeB}j%RS<=7qI-%TnyP$@qMmNRvLSf1qM{Dwq?=zfT4Iis3-gqEcS_W_=jl
z#WwOffD=ns3<mRNIdN>g#}B#hdZ1Tr%($A&iQf5F;>DA>v65Q3Fzl}fKjVmsN1r+I
z-Kzv{cYR*WZtAq(Gp7s9c~*}EjJYsU?pa3L93K+bvg-0ubs_$0v!z5e7c#CyDEfTo
z$9<n}2L2%Ff+}xzQFsV9vikNu{oO5y5!{>Q;XMOVvh%Y|fd}9JyBy>gFO1s?Ru1q7
zF+fVD`A@MfFFFM-Y}orq1XDjA)4C|dfbAJsVkaH=Fskt7clKdXG&WFkrM#zuYSkEP
z%BeLt<sVu5k138v6SHmBAE!gWfV&}U4?k*i&&Bc<N?=aXY3m>hI;@FZ8ME~lMBNM9
z2BnOoP|q?`h0aa~-ZOEjQEP-z^Zf5SzrRW2tGCsc5^vMs!Jv5k$c!+aPT`zfn<I;E
z?@vAc>q-MPmNN>6=S5I|QlZEuULH@Y%eF*{(csaUyOG@DVyM2!TlzxsTAVtkbAR0*
zD%?%Wr4+3b$K$^YTgJ93p~#|`#@p{y5ZU<WjrRo!O!DgWt%*^_*IZd1RYO#GB<|?E
zI4OxH;U(PHo~q!3D=I8jk~GLTC?{xgL>gJY+8wE#Q$?X^d$|{WG{}7v9Ckra7RmeH
zE2+7tWA%`bOIHgGYTdsksny8gw`5kS$|oAQJnP{3)r1bA&y*r_(iQM-s_~mQYe`u6
z^s%TyHXUSp%rs?>E8?c!2R{4LR`1;7l@V_R1_+tYE{vfPCdQRrxXn$$kCOKr@070c
zog;QTrCu59Uq_whiqJ-vl}wLk2Xx^`Ex)c`j|#S%R9&j<)IquAM1s>w4^$Mq1|^qO
z@j=yu%YH2yW;>k|JfyD=&D{q~1r*eg81(zBL7`*X4L5aGdjpuAjk>nZOanK1@!A<a
zpyNit?tuH@hQL=o^mf8s6TfeFZjKXV;CU&R6rLI*@Vj#G`6(X~K3nDvzU9ooVlN3T
zHIfPZ===4#Y^N4pl{aNQw3mTrK9CP>ylD!)?{|J_u_B{(efrZ%CkCD?xc5Lr(Hwqd
z%ZU$jQLtJst>8I31A_);HXq2bfWnNVYl?Xk%+<AUyBtqPnvd<Mv>X%W{Krj6GTPYS
zvLo~7JsRfDUJ6SGfDYEHlEq%y=zghyMDEqW(OkLQ-Ms)0K3mg1@6*Q1PoD_=`$$12
zt!3&&s1<};FMM(_(?)^z);*mEwXh-7R*pPu1to_={w=mr@O@RS1b43nQi&uvaeHe>
z4XJ-}-;#p=m68`uTdJWuPuNkV1Z&v;w_IK^l#E+%x?7&Qtc-)xc}#k~HAEj3tZ0bR
zLQIWWvRzO>>+#A<QH9oUR3<h&eg_F%Zn;U4MPzU!)~DMw(;AfO&A<Fm)I>h>KSMr=
z;>cK3_xp6n8dzzyTe|DiF)A3{6^{rb*MsF3Ck(71>_#JN-2PQgO?<UVc*%=56x<9X
zhpeDjW3!|iyDFw;25ySYU`I)<#0=S0&Z<+gekx=t<HP3>l;V*^V)w}#-0$?Ppj4Wl
zv(s1!<Avj?w#k!3CUp#ce*)<GQ-w3H6>#0uK;^*eVPfYVPO+MO0Q>la{`D~AFfZ!z
zm$CS6LT&nR=An5eG_eWG2h>Po%bm1t$+0Hlv;35>yCxI5eg3X1iIv1EJ5+!2;WcsP
zXLh>r7E55BZvL~wPaLncbL}sV&L!r0+PN<zT7coqxv#mQqIg0`eY1@4Ii`?)>On`s
z98R0FKYU&!j2n3!#UFa!WEKXV=bE24gHvsPn+P32j61o1eb()B%u_{tb;D+6V3_J*
z7w)nKubJ`PbeYK@UPT-*GCySsTX*_7{zM*Z>>p|F9e75RPp7-}*PB42%)JkpF<jW-
zy)6G@XAR-pYFG1htqHJeIXwA&f&)EEJx{Z$d?sjbCocRvVhklddhqcL8@A3_KRkb^
znYbWEQttk21Z|zIc3bROv5pz-p7f}bXt%qu=>cuEzB}q_Aqxwt_B4-=Npurzg5Eq5
z>4p$m$>+SUV~Nl&|0p^e)Jsqn;vP>g8UT-&Pk^+@B2gl8Cy&3Qp9nbiKwLY}0J^*&
z;$YT1VWxJ~$7bs=v6k3Zn%=1oCFzi-5-~?OJdu-@7#t;f%F6o0-1LDrZR^j68MB1e
zE8={F{a@myCEJS&AN0VV`+T3v$_$aD-gja`;~!z}7BDttuLnu3?QUW@GsM7{fYt+v
zDT1S<uY*ym3w~`Q1Rk3qLhQnf`y^+GCj**044rj>Iv1<><LnG^TkVtB9_k$NL!n||
zwuJ$nv%mZDKFttU3FAxd-U~$GtBFU4{TMJ{E85IqJxiR*dr{}`WQnlPtggTHj}D`d
z^*ph6mf)Ja&Mz;<g11?t%Hz(^L2!#yhTpT*+%xpu(bSg}IXG+{sVUOo{l=Jc-X-&d
zNOEv_+j};w2@ts@9Y%x7J=<Nox)+FSA<i;3M-EI|YM#k>N`-#nX3uBKC88vL{qW2H
zC&oCL2e8fSz(Ku~<-)pUg0(*0l2*Wt$G<V}UUblbhNO|2S9UCDYkGKmTPiPZGyD7L
zX0|pQ<ay{nYQ>8D9%4cJZmhvwuT;KYS)st>mBeTM+t{!{*EZ->s{o$AKa;>3Kmkek
zkGYb{j+9G<!vZS8SS1lP75|M4oQZtrt9v=H|9DT^!B7#rEW)%L_acM6Y+EMpPA>HS
zl%c-8M-;37TX<*mTMITJ_1(Vt)jUHzj5`mB<G@LdCkfG7(DKc2x`^P#J>t1t(yEg9
z^5ViqYZWc%uHE7|U9<-8y$V=1oR>nkSJiLD+eq-hDeLRWPXc&bEZB1AoDAxYTKt~L
zCc%zB<QIE{gfZ6O{1-`8c~m{F+z!zskbUqaNN<w}Mk?K@e;&COKPFXueRz-r>n=-I
zoO&XPGeV2>o5z(f=XUUPPz(tsmo(hfY2sM3U;lnWhcZgqFH{*7kf5!a4Lj;2FjkO|
z`t78O4Wo5m*Uyl^YB6xs<eU^{3%PuYY*)iUE>5rT16trUmdv;uEQ1A=*3WIDHBfQT
zQi&u;hEL@^F)c^r@Js{iHwXPyzu1-U<=R6A`Ph_uo3a&fI^1-~ZdnVjhpbig8lwQm
zAGxP#BZ_G1c_AdYnS#GeIW-o{bf8IICzzL}j4xYsFYrCpK}u9f<Jc!Ec+YQMSvabK
z?p;tuPo-hY;NmGqPdb>sWVY<8Q^kS&V3U`R=orGyyP_S!0GA8)pT;TbSnTji<46Jn
zzuVdPvzO?CP)C-y<EnS8B4x`T2VJc3d7pDYRUZl)OmixyHSt=K#qH<Ay6Ehx?`TzJ
z0DPBE9=6@Ag~ogpOL=?raG{|rS1{HHO0EmVUbsuftD(HpTMP8?_k*DHTf0rbMLsD_
zr;~!awS#q}AFuZNDZeh+Y6g4>F4!@ujmZpI%kLq2h+^9Vrgm6>#lFGoe9by|yeF9)
z+^36nZ~PlQcQT=Gi^jQ>(^O1~shIH>(#6r4=JfEp0B@W9!?ymVqMczqjbn_CtV&KH
zQfI8dtkW#mO^SwAz1?4K$<pxD!tR$A&epK;lL3QkwZHm#gj3N71^G@TDD+QQ!<*Re
zXQ?q%yfNB*mljUKG_NRo;Sd|(U!33Yt4as=Uk$u6+o6VMvo>aFSKB~~WKK-%^HnbM
ztrY58C?hq!UCaKD4Q!R(7NQkKK~fdhG45D7?6_FA<Ku`895z)9r>wsB9;;o_1vBEP
z{{CwiSDg*~+<5$j#BLIjD>Y)x6a~>v_TlL9b2jjF<S-81(ZJXjDVt)e*zrKDU74eS
z4X7TCVA;{8hQ2EAoqtwM5q{}mY5VJ}A$gCID~($f<$qFGt69Gh)t`!{_Ig^wOZ$V`
zUrm&;((cK{_c=|>%mvjoQyo^&(vbArb$l&S_E?v1J@JRxN?#<8cv*q-NDSM@3v$>_
zDKEO{ImN6S6|6Sz00?$=@Z7OW8Y!1`*-hi-nPwNP=UKM{$PJ2gc<+`#h3bqFUD;)3
z?wX;rEmcgIc+^l^a8(pL@#B{fJr+pyn^-cevjoq~D1|;AVH9MG{P3oo1r7y%cDwe=
z0<Q1|?~>fN2K$XKezsL$g@LFFgI0D6cv-k*Ly#6Xs=Uq9i<D-CRM+PnL)zxxRJ`@*
z8c%kdtlMNL)6D`KB)eLYcbUO+BKg^g#uegxr<wUsA`6hD=2jf9nL?!05$}$|IpT%7
zueI4)7D(X^ohWQKfdft+H<}D53Ef94w0B!qm__9W`HfUep!cDio9ok2f*Dp79~rUC
zJl?l>!vBylyj!Ogt}E0>aLrJ~)C-oFrG7H~jc<*BD*x}b{F`rttKIDafvH92o_arT
z0Tm+<JDOp1hWUxu@O9tSM!!X7{Esx+t5b&XjjkwF_VgaXeV|HdWqyG<+WK@y_J9G%
zGOsf;9uiC{aaH=#%LQg_BeP|Xy8+bn$)vx0*2pZ-$(;9nvcT+6T-w(5S|5Ji{LW%?
zrGsfZ`dlcid9~kkVsovbK4cF$PqA<BX14T|%dXd6WM*wD`5{=O2QT=HjG`2NGtW+o
z^@x=%G8cC4`Itb_gT1G><agg0U}g$jD;+z!#N<dfUlD((3*J$a0-DRiOqb2Ro$Nu&
z%>7+~zi!iY!NTyB)0pWP^IS}J_}z>ZX2E}|B8ug!`M;Ik^Hc9H)8n59l%8OLg3K&(
z%sK{m1U)}}{rv<pV0tK^z>O7-=EZkEYo^122WxJe@tI^At<Qb6(~1q&75vkB7eI%`
zdG9<cj%g;1OHtg$jU5EZ<JU`A=}>%VLzqhG40G;?!WjQ)4v0!f9T764LA%q~x*gGT
z%)G20g=KA=aKIz`_njyz^tPYv<=e5qtdF=sob%v@D~+klEw6RJ(R8fI)@zA5$a_FZ
zV~z(}bNUSfMRnlM$6tYz=oKdajaa!uwS3SVmAGKEUmJF|MGQy(Vu6F<rE4C)=LdcB
zWEFZn1?HQ)!g!U~z&nAnKWbhO#FRa-%a{TexRc){9A$?IE>of1PlTaJe%X4ekPIGP
zN9wu;IiUO8LPjT>D1864pl(Me17E{qchwj!aM*ou?M$c`B+J~n)?B3pSG_H4&*<?$
z@wVQ032q5^SdmZrwp9xlx;aLH!h9gxCgWfHQW8F{`B&1wrUgOw95~#i_`yV_gKu+|
zG>jF5Dju#P!M9MeD<c~OA*4ei;&`qssQNy8@Fkf9k7)%eY}<sPT}asIYP&qBEt*XD
z1(BdG+|lJlo(OFA4;gx6rU-N5dkWe8NgzmiswE^M1}q}Kdi(p7z^O*^K2IzOc<Q*e
z|Gq8`v?n(kf*n*qcI(7|^HUO-9_$U`w2_2+FHQbrzE*|kl+j`<ek}-5@s{Qkl!l>8
zW$d#a>X59Y5Y?Tc1rj4QXS5b&AfhBY&TLr&w%y@=``UsGf?8XHtOVs@-d+xbDoJpR
zQt!s5LV<lj+IeBNYhfqz!q)0!GFZMb2-dRF2AjImt=uk3@S#L7XnBt|bX&RHTFlV_
zyR@=j8RwKCa;zvNz=jHMo?gq**+7HuRbGFb+f`tRXLk%;kPdxj9KVj_(7~mC4Of<~
z8vIW37Vi8@hx^wQPbj`)fMVNb`-yaQIF)pb?D&QO%D?85$<lhD;bW1Pw4ecza_SzR
zkLyBS!_g=rT_2pAVkKO?NibeK#Pe864~l=B<d-os1b%YGSVx5x2<JynrJd4){QSUY
zD_q9FU7k1;$w>hd-w0W9sU8S;1}X3OYXV04aT!5++K@s1n<ZVK2Nm||H49^AkXx{<
zw|+G*+&+}4$LXO5&l}f~@}?{x?Bss2lcH3(wO3B0yjT}bT%}Ilm|())zAH6~MO2vd
zGpLYTo&RN25nt^PKodpt%S9d<eAC~&+;pA}!@7gFPQSH+ssQt@gVHp(aiHYcb7Lw{
z_dUCDG|n1~l$y6|by6WV@o;|EI2mM~<*ip*YXiI6=*pq4RM>E6>TpqjCYbsaj8o3r
z!1ooCeS44Tz<RFN8ENlSfx7b{Ph+zUoNCf@w)WMA!8w&8GpZ8!)xqKR2^(;<^remp
zP+;4Of*<WsG7wOHpS)?%214Xz1?Wjy@J?h~k-mZ$xX13=w^(HZT@LmRZC#r1q$Q*N
z-X}hIv(R}z`=|}LvIv|QR?q<1!_{V1oh)#+_o&n^85{7ODqkFQR)hJ+&pS?bj5EVI
zjP|NMv<9miNvEu1RKV7i_k>UJJLY#$dW4O>H6)yU+cxz?3A_W9YzEzb64|Zu%Lb)Z
zkYexD)G(j`Y8zi0%zYXslEi}i&Ka!oG<f~}l5|;c{hp~Sxp9UFjJhd5RRWNcFrhnp
zPzsJ$H;XW57Ko<xsZX{T0(f@Kw^L4tL)_`N6kpX9LhWI+cW)RIj2m}^9DXkXDRGU<
z`%_u)lAY%z!84X{Yy2Il<&q$zB`@bxim~FzPdq(*Yn7YRjYk+fd>|q5o^8sK6$6J^
zN1s-kgDI!M=&2!2cyxk&QwNC^Gv1CJw_p7~eLMmm;tbf}KS^zeiQg>f;g^@|qG|@@
z?t>q<zgc3IO^CdnNMOPEqqEgpcbkH1!;5#$%`?o(XJ_1*GAuaLb0z23Z4*d5`ighU
z*$HNboA;&9&MU<FXx{3O5o5>;+b^J3G|a57SgK`)E)##Hnw-v98iQ!pHJuM0znE`k
z1rKd~xI{eMzv=b!%SK?{c2lUov6cDy^U6#d`x22Au_pcYgdyCz?4hh{`i7}4=R<mN
ze377>J-Khx!w_6KJordeX@rSRSO<s3A|dJfBF3%K00fDb-=ZVl5pUZL>}8u@AW|#d
zy*W!VfczGzZA~`KMAs{-?YiX!!c0Hr>AvgwFnu=da{TCbB3b<7v3&hSg2rw{DiPF&
zqy5Kow@>sCi`w}n={FY%5Bsx+oD%iGSfDeqEVqxCSUmpMz+#C={cL+!luHl#qU+|J
zRECJe2ZelvBFlvAv7-5bGrDk@?+>*&e1s5UQ6JY=SRp*vdfh4oR=riOU|zv%oTwN#
zNV!30LB6_}vFNJ|h)#aA>-xlB!ncihUNOdkVlz&Al++nuD?UMuKKqYQ{?vAbyPg##
z7-b<jrF2;Tc>eZv@)XfrbyuRcmJMx1g&kNn(&1s(t(V7|rwQND8Iz=bcAPhzVN3Wx
zgWFFw@P}WVC4L=|sg)#g;@#K%2mf%;z$HE;w90RukmqUPJDb9Vqvd<bx7$;pHJ4jD
z#BGsSSGqzt$?{-a+s2dpX*!VpK1ToX?qwo2hvp{T$ctQop{0($wc+QQoP(|FSuod6
zRdKdt4c0gO_b_7hK3n$RZ`v8jiYI-=(4|%Y?`<JBh~8WE(}jQkNUzwi)SVnKyqXiA
zTyzjBk)(j4=nGd-H4aR9x%uyg^&%KBuEHyKkqi^TBKG3BoM^+>+ctGi6t6fQQKd_f
z;eZ_%yR$tvQnw3-8f%K9WXf~~|9vgEaVJEOOOO{?(zC;k*Gk|uhEX2d1}!+GQzr3X
zkq<Y<Wii%Yl)|XUnew~^65L!*+xA6L06pzCU64L0gL^aE{<g33l-4IBrROb#;zg|I
zeKO^6jo**t=1U}yj<#fX85PFw4Jr?Udlc|aM30%#2@<q84gZ+27sW~Ay-(I^E8&O1
zr<{TbBzXAAz-jrV7*_r{*`Rq`8TXus{@9mK0++J_#-^Jk(DJ-nTiK8b^6PHSYW=h7
zt<5z{JNc#XUSW=0aj+UrS6&oL+@b}0-dz9v?YA_F+`s?NflmV``qcdNhqb`ur;YfB
z9$9>+bn<3Rg(jM#;rPABWH?cCv$l|30blm*T4J8i!cp^6GL%OYh+J&w+2WvxfwC9u
zceqoKEibZTSHCv6$i<$mZB@d0fmfBIR2`&Vtm<CbO9j;(@pmKSRM1za6AJlg*zGAH
z{zi%pMopV{83w81R~ygGQ$ci`y^E%uY7DUVnGh2ApoZ=12Gj~28K`=4%iVoDbYWw2
ziNdgs23jV|Uq3IViz(SR(*7g#V2m&P(}_!(n8e4!5lQIcIsaH;3nv3e#5;E>lO*KZ
zkoef&Ru7ePgE^JhjleQ;ee;Yx8S6bdcCcO3L-BZ?uzQ`xK;PP<_$r=)`=&RyZ(8-x
zh)d5H!JkZFcSM23u{+xMEUQ8EL!2H?n&~9Xd^U$4KT@*uuIS)ghFid9Aw6{Y>bzmR
z(GrRaxqHVvs7T-Taa*X9E^`0T-#hLD5Pcx!<Jea!4yzR=@mn!)ch~vPBu6XI&y^IP
z6{O+LvxA9c-87U)f3a3w#u_5IUDdxVt@`Fbj8u4oHa0!)Vn)5QhJ4?Imu}fqe7@Us
z%k=|VSQHX_G1bKehA+1K&Y9FfnRr|Kwe9N2bFOnnwQ$udb2QW}*mUsef{UTMsS38#
zG7K*E*uaN2FVe-&6y$o=_2<PN1ymf7RlhyD%2OW$v7P(K*wNQhTwE!M+Qi-pa*GXg
z8;=zCHj?m_IKSpdzA%Ovim3YEw1NKt0096043~Exm2DWt?Y;Nj<2andImce_%~5Ee
zsH9L<MyMnWiIk$qY6+!M*&<uL4^d_sB7Kz+vO@Ou`Sbbrx$gV^T|bV{5>s(Gb+p%e
zAIFcIY>1}x<>{W?bm-Rl9@MyB6+L__75XrK1wVu-mMo4~Le1qV-_;mpbZqk2ng-V}
z-g^Oi!Ww1?DiH=huU9If=|rb0l6*CmDthz3pfwA4d$T6&)E{~D?E{pp+Wx_U_Z}VG
zcF_Wii?62#M#v!IuVLoqJ+s*HAmayRYXA=8I%D!6iAZFpZA|M+Si&o|CBcgT6%8X|
zIW#e}k7+pZ;OZLo?iv<5v5CRhfBmXgT!qo<DXkM7>6_SCq_x&39t^HHx&Hi%3!s;}
ze;&=IGQdyClvm4&=AahjUGkuu2T9yBa8vuo01-Dh%ttUY7%DPZ)OF=RF5_Km*aibQ
zhxUjU_?QBB*+UDTU=|c5<t!uig#q}LtuOQ6F@fW2sl|u?FrZf3fBR2fW`IOxUXlEE
zW7zZYC?zO-6_@_TcsyE~0WR`m&Ro34kggR)8TdAjhn4asv^Z^IBaasR@*Iuef!qUy
z6P?pIveka2a&iMBo$@pj&N75|Tt#<F-i+XxKHG1Xr>$dC)DZ3ua|S@tN$jxe?87<Q
zZZF*bv4#=ZlK4XG3}EkP{;rn0U-0KPF~3ByHEi35=5yHv`tXLcZA9F*7Js)}%+0uI
z6{}eKZ@-9;K9~>QlgT|@jGZ3(zTy?WiamJM-+1nV9&9h?3MM<WVK0B(SSxZ{#m-*!
zo4G%#3y~itb)8MSvGcY;a`q=zu@?;ua~6kn!QqmstNfK-EdK6U)gNW6Sn<EWy6s<R
zkhQquwqVL{?44(S^=;A`Mn5-abj6Ma9Rn^2f0h1V@0KrACikpiFE@7i{b;AcE$sZp
z@2D|sZ}Nlh<JId}(LnH&{vImiJ6OK&fAbeRG=|^$`FR8DVrxy0{6>K+of-bGA=8*^
zD{IL~K?aa;3N+30qySfOXi6l@3>G{Ps(!4C0gh3<ZxqbvfWnh1xq!Q~*t_Jg^8r<i
zkWsI4IQps%B&tyA^r`chfwGx<R}B+fI(cV^B%=d&o>{Kbzb{}59y!Jqz04quye|3%
zYQxNh5Z=brB}~PfHSDG;D=57V6|~7E!zcD2`bVD?jGe&9J($P_7db-is!WmK0;|la
zll#^%HT`Crx5^w)YFjB{WJ-ecxV;Cey*DuHSdQ7nK289!diBmEEeOi^wd!lf0G0)Z
zFFbAKhE(+2@X)j-oMt?9oH3FS^0uXFTm0dL7lik=cFvl>I+eWY*}?>;&o-{MOAA2r
z?ahc?EksBP{iS?dhXr2y?%@qMA_&~dGN&c2iEzuy!$_ix6^_zco)^6p0yuLZ{7Huf
z9PYbIia*2-Vg`vf7pz6#rGNAwm$wFZcXy0RsB=O}YhzORlqigb?X%0}(12&AXTDOU
zxuI7!^TOHJ;*frsq^nR%fHt0$rE?~{KoB!M*;FbCKkwS#Js3rR+fhr5#W(n2zslYk
z#jny}>!;X|;X;73qhF-Iu?xaZNnh<R%5u=#T0NJxg8%~Rv3HBTg&^0`i1gP%0XP!*
zyhEG_@Ps1x+rD2IPIwI8J@`Tq7C*Ddw_G4Vk8bgY#BfoNvNsyIDWMFE6&ubU8VDdA
zt{tvsBo4$J%Ldmh6$p{!D5C3XfYssfFHsVbz$mo)%b0~4_+H$Hu5A574cC-Gk+d{4
z)OMe8Us8u&rKI-obRskz`)i>|mjy;dI$c<&0TT_Qy(w8+xx})cD@c$Bfr$3U^!u8y
z@MG_fYeQO~DI#ohdP4zha($DF&XS<#?14eeU@}O0gzbK`O$lzPPw_e((1z)YbHUL{
zI<UQ<`eALFGVEkbYU91F10O~^w|nbTK(l+7Xz_{)%pAymnSGK1<p-sY+J{o1SKv;p
z*-<q}NIEBJX+(wU<7_nweKh!4p&~cXqz*z;%wbmtsBkbg!<p%f9#B`(rR#|ra8j^C
z)5wzsELwF<y)*+b^j0}i5J3cCe8cf)F%4Gbdz{9Fji7yW<)c-NCYTinuAQl)fq_Zp
zC2L+2$O@a7v+2@;Q{ks}rQW2$m8{#x=Y-85WMX7qw2=g|&1TF&JT%D52y2m(#31X0
z&ZQj}$#5mL(R0n53c6W4y8m4TkiMSO8$VBmSI3eMG^<en+rz116=(qlky*QssA+@n
zrvo-gceG(8%uj~J*b<ToeExpp+IoMow3j`p1)mnZ()tE1A=>JPJ}rw3)Xcc|)oTQ(
z$g^}g>q`el_sTOu<0J@AqK@r$RfW<AZfrm6=)kmUuoC!J3wF5RlkpXbaKwAYp>CQE
zAFuc85Q;THMLL^X^pFflJWe~hYmp8kJNYa<%!pw3?aRfA3Q_3xTldZCp~DP#v%h#m
z08_Cwn{ao2m{+V^G|ZsGSrb$uJgf$vYvK={u4RGp#+4GX4IM7;dDL=6QWfs{ewVpt
zwusTbHhE<ASwaNo{_gc{%HXg~u1rh34?A_a;ECaJOPJ=CRi=h2!hXf;_@MA7Tw*xx
zX!n!_Jh|#Hcg;;6c8dE-42_TD_eID~XM-)^uHy3vmw9P0vv()29+=0q_SsiyP67;y
zb1tM-O2ABcomWuZ3SN7v;kafHz|xBp$Js(rP<Y&x^YYpTUP$}tv(S&h<$lqr+dqUL
zGh4mE^CAOMxwLprYRVi+EQGRr=>lNt!Kdm@VMKdsB_>-~%pvIbEq3Ym++ZgcC`!M?
zh^l_vGdrnl28S79*)NB&gO!ThpS~zY6xXs4&ArnUuI{rP^GRU_4kZ(d2lkBUYOSM$
z(*+Yq^|*gAUxWdSj#mF_U12~@+f_gPDm4ZdJ&uJFBg@zWqStHlWCkQqmy$`EGXf{?
z=!puaIjmkOvaLjs0ht+Z+x^DG2;MaGao(++#Qy127UX+v;-8XTl!fCAAt>drPt4d5
z))RN&bjY0z{8)ikbHy(M@ZCJ%Y(V&d&2bvw0l(MrvG|tfbRz@!>Y(A371)N2Pdo^@
z;kb?uH5)u|xvvjLn*S@`5tWX$X*ZZZn^?nr^Wa(jh92bU7VumssmJFxKmVL6S;Hmc
zgGJ|k^*~O&YEQA-7u-gr+1)Q^4bQNY@m}uMg<_p+Y5Zq?;BBo23nrh}@ZYswGS_$N
z!pAvVH{>;dXFa~$%dEYQ|5eVc4SP!i3GZJ#J=iersPd?tw{9K3oZ8=&jnP2GO8Fu0
zuTlJsPWt@y*bRI<!qZ^^r^4h_S)Ql%fAMFvcPffvH*t&g_uuwfQNhr~<8{lPY5YNF
zz0K*P4CuqY%;elQ3TXG%UHUQm4-aC@^gAKVh_rruo%rWWfuEdFL1C%0_^7}$!lzkA
zwEz9PJf%?`P%W2znQb(Wr_gL}eI92*f|U~rrWbWU&LHNf!sr67-=8ip#lnKVQ2dhU
zqB`*8dB<zd7fZNUNPWr>up$jv+xxK|+Tc8^bG|-&1+N!&IQu4x4e`%sjAuV41Gk{R
z)Y*VF{9Y_nbZBs(D1Kf};jMk1+`A2`&u!pc_rGhP|2UBk%Os2R7Eeb_rh~lpGoa8e
z%c0n6ZZz2cQcCWQ7TCnhr)^weME+G)7cMmOB9IQ*b!S-<?8Sx}0$Q2SZN-gYX*K~=
z7WA@M`j{rXh`jdrsul|hiQKt<kS>VWKZ(Zp^%9{jhposej}`U3&D(!JQwS-v1gm;^
z5~25SwMD}Yb`*JoXGK;@1Wkzk8I_;YfREjAmfQF^(R8pD$)-{iJy$7E8BNvzp9lvD
z?PV@xX|&oKcR?IoC|@P+w%Fo{tne;AeqL1I?XcwPBZ+=xu0^UaYJl9%C)7koev~lc
zVySsS8qJqi@@IAuAUSKo)oe%r#kAgv)~%IAnu<fToo@&*RalhWVIqWz*-0lWMHSG?
z!q1jkbp-gj8j#^xB#cNmZ!~IqD<bK$JATym5#Vu&BdN_o6xAp{c{tprgyLkd^$i6L
zXfN@7T`?zy#vXc88h5E6au}aQbc_aEix@g`w^;(6d=~VWeNYuqwpH;T7bC(SBcAez
zIw{2M#CeG=Nge%_N=o<bB0^lI@y^vBGH6srefzwF1}gJ!yZfX~6WGsb#tul!BbI|h
zqW9!AQTlEMk4KwYuyBIb8uvy4O^v>DnqAOBb)9N=7|xJ^JRFN;Hx&`L8f9+f0~sBw
zUb!tQtpl@Dw4$or%E<V{54&tT9i+GOu*V-I3aH#z<cWH&f*O0Poz4>}$Tfd?M}`v>
z1_K`$MscX2OB+n~X0sIZrvK}g?JsG-kz*B}7@&@V8kKmNA5l?ylJDE2hI%k>aqP2U
z3jwX_HCnH$(GXGWteNv4eLzE@)fF;CG=<%ESh+|;&O&;LY*mJ!d%;^##zhm&H263v
zJfNW-&4)ei*~U;ujlUFkRtxPJ_P_osl!kT{?p@iPWeQ8f?V|aCB=q9^_{1hV4UHYl
z$r#Nvhs~HB+ikSTi1kYNT(un)m7ST$;kVwp=Y|&>HcH9Jbe`Ga=1vL<QJ8%&K(>H;
z^&-Xsb7b^O6?^%dMF%Mx8>L*`uz<ziE@!02$mr%N6T2Kv5=s$ZP>CzFguz&E*^(48
z5?X#a;ZUZ5*!DcVVr)c*tcYI<dH+Z#AXmiFi>!vE!Ma230UeG6Sc5VL37sg`FMV`R
z3Dt5q1$cj<!+_s23h|dF>e*X(XhBmBH6(sW4gXDt{?L6(8W)MEMR}5T=9)MP*5NGJ
z_&^7fSLbyUrwPbxpJp=0NkOC-=3h3GMh9M8X0hE;9m%OH@0sA`Ks{c1Cp5M^)R+95
zJQS&l^p<0C13lOA;Wp1h8RM4lK5TWszf2k3HuCQm+BJ^*X^m9RT(E?g#!OR#F-7!o
z_|QX@4=?cVi#8#O%$9J~ZC6sRx&j(0^C7d14PZm<fqQMPT7U<;Z=A%a49b>b{;7Z9
zAND@?a^YiE3n-?zU69C^MDK`sxzp4|EKzWN@0}Qc$<nwZ)epsxBKc@|!=Y7-t!ApK
zW2?T`zB?-Tx=9#ut{GM6DsEskDV#5w6fn>#K98kq2qG+7oKV@iiA7lQ^N#76L&1^u
z_^GSBs56}-Z)^5J`S?J7nxh#ICMS#ks&k^(|Hg#(dNRN^5f<^)bEfdrSX<9Zj}--I
z&aDcWGr&q+eD$vvCg9@s=cd;SM)X2lAmCg7Cbp(~hH<>t7#Lp74%^PJ08c=$zu{?e
zUK&rtHZhr=n~w_QjKQPAz}Urh5pRBX?I4A=fvKlge#-MQ0=Aar+WTfRc;UC|XM;P|
zu`sm&#p5pxL1+dGSidrkn@431RUY5+O8Xo1a27+b!A+(^lYZmLrJr64K3&B=--%E-
z?P>r?e>@Hfv-RNZ4wavSmshZMNgejZ8htn>Kbv8*(1fp3xIKA8Rxk(VYp+V>^#LAR
z7pHzs#Yr*6b)KRtSWtIfq33lyP|r0bo%FB6`1fzTeeio33n$C%Y?;>urDzku{Hjmb
zoPcHgc<(Y+N14A@dQ2DQxEAsa$9gdFf=-P=?iGxttnN7blLoUfr?Os^_hBhKX?tG!
zu3&jS6;qzhTRr)pqn9OZ5L4Hb4d1=Eg5kr@yN0@`kn&8mb@con?6o4daen10c28Bm
z(d{4=__UdJpGhCX>i3i+{3uw%{`MKWRrOL}gRd|=I{PnHcpJ5<d|StyU7rsR`ca^+
z+}+)A&os6(_>zgF(I%!=7_RkoQ3vGP^}^aZ{$VxOA`Tw#V*tf~mOGbYb%6aXJ*&uZ
z7JDDZvij7K5oG!nUB~2ffbVT|gwenpcJ&Zx-|%53XlLBsBYQ#{?!4D+4~bmBss%3S
ze~e)U`89*D(>Y{dJ>QaRO<ThH99fKyeA()sSL#Onx45}|TgqI*<}xM`@3z@z#RmFr
zKY1&4Nr0Mqk;>RAMxQqP`u8V07&pc0i^ga{g1`Lu+~PV`$zRwSn#BnVe$1j@dNn~Q
zrre2DoB>?VcXPf;=7xQShF%9PHQ^*v8c&A}BmA3=R`D$3g%G9G@5DkP{1DOGBaq4j
zVhyzG`D_A!bg17(m5D%B-oEi<l^M2OJ$&o5y&zn17#eqdssT?|&ez|#%nAl>pECDX
z2tjuD#*Xtk8jznnUOB7D4pL?vRc}EA-n@-G;N47sYIClKx~m*uIv**!V^S0hjnD3m
zIzfOx$vX`?XStw&KYTN;UK~7~IW*3w6X3sYb9%HSFVI?j>NJrgv=_5Cn@+34SEVC+
zBu?<d;~Vh?b)(X7K5fxhvt1piPc0~K*9Cx0NZg^+LJs6m_!48CI%IbK7XITd1d$Am
zvE1GYFfk?aeEEYq<Tod&o$eC`N)*k`yj~HS<TmbqTu}$#G3~RCQKC@T_sq20P#NA-
zogVD6A;4^H0Q+_;aTwl=_*m4W0!{t5v=?6!z>yfF+f0-MBmGm&11Hp=ebb`0%3T9C
zWE(_h^|r3E?wnVGHUZ2#$JfksiQqnw?Y_-Nb}Q$&oEwZp$PdZqRNKns$liqap*8Zr
z#-742GoT4YS4c~NiCVz??{<Nxlp-W8welskkl-xqK~91i85B|ElW#ssU=zuBXzryp
z$R1K>=VsLbyLa68KGrG2k)2lSuJ3eU@eTDHk0J#m!tK8`sH=i(-st|_&nQrBW;kZ(
zM}?K&sUEvh)!=09fRn`uDwGI!zw!S?gY1g?Q@M-;;79RM=cQ;+TPG}Dcu5ar#A9E+
z_SFFX*VL<r(`az_$<fdfTLVZX2-z{#5h3ktP8!D$4N7j=ciHM2!CbYiWDSEB#5~!}
zWIRm+xtnh%1WZlfN=~SNoh%8MbidqmDc$ncetx^7c4iRB__G@4CIjhkZ*3`o284Zl
z4f(DZ1ezXw=2y4nr<XFa6YQv<!Nd8Cm=AD2qb8t5R~s5`=P_{*C?I>=#Ax%j1^l;9
zmCM~t8#E4-e6KyP4SutHA`d(*A<f8?$Hzz;Zn60PQ8mzl(}xJ<X}ok$BxwX4Zy<x1
z-|3vfX9S?|b$l*OphIXN%Y`^bGN6zy#okF3;5e|^p*Khe@6}xjRts9t?Yw{Tp`Icr
z-ZgU~^I5@t^HPdno+dP^RlfuiX<(zEn`C|~;O99qnnfhS*ey(i?V1S4$L)%FJ5Gmv
zJJ_ikkp#FQk&yOwng_Cri5c}dbU2Y?fgV+>f!Z-|V)7m)c>iysE5UxtTVEry+}|p2
z_p|o)x!4&jQs^cg`r8sF?aTr(c4ZJ*I5xTJ(S|9Vl5o%uumqpX#2ZrDijcq+QaR7r
zj|Y9vkFFTE09!L_w#;{O;ACweWIyu{*Un<4jQLu?__Lna6Hd~gWyu+4Ah?W|Zts$8
z8v?i|;>Ip4C;^gIN1kV!Y~WgUUD1(V0M9OblKsOZ3a7J<5sC*HP>Mx-`JXln%3e&I
zE+h$o@FYcbgp~<t6^OlO=`jZ_pGzAvs{9}@^+l>Hn+eH^TSXd8nnB!``YNI~7f5~2
z<YgXYLVb^o**kd5z=nG2*Kbia(6(-0QTdMv<);ySb97CiIrUw_5|s%iqVRFwEG9%R
z8_o&xHUVoUKChyHb?mTF{QQs&6KY6Jw0@Fl3<7Rt!JOnptnAyzTE#v_#O=U4^}5#x
zQpPLl*3$oBRDn64yQdftkF-&UF2M+dUEdd&I*ejFLPysOI2lo8d3;H9m?11h{m#&c
z=)(w|d}n)e8Blcp{ZU%G0Svxk?09ee33IXB7hHRo0qwMCz5ktH0O@|*=|plaX7*j1
zD_4mDWyYHgO2z4eTUU|AVoW{Ga+F-Kys?RA{Cv3bbXpHu)xVRa;yQ6r(KB#uY!i>F
z7Zuk#tOrsjcQ|^ZU-)w&#>|VX49Ez-vOT#?7o7MfN`trt@f|O1_FGdJkj<ErUc7}a
ze7A|QARZjS_keBurE?5Osn}h5vzi7T)j{`#j!fXqiHu=GzZejAc70cqAq~Wjjc8{|
zOyeI#qPJ5#7}2}IdDG9;ROpE{9?G8lhbIJg2oYGAkfL<bQ%(yiyaJPvj;dKa=9Sn;
zULzAqQn>xxvy}pj)vRt<)I2Vk(O=W_oEbe>5|{n&AO)^}YzxiWxrl$DkN)>2j|EZW
zZEa6Z=s>T4)d{-%GR|7PvWNQ%D=Iq@OD9L`fd88JnmW@eE@n5K79`J(GEE{=6t_5g
zEQGsAdSwlFD_)%Wm&}1KX|VIZ+uCo!L-23n*~Eog>|DpSxzH_L*F^PtGL*25HT{0b
zfOe!FKf$ofjUu?!U2!2YJZ9c~=3pBmQd{BwsQ!-^^-hhwUq4O)?YH@CX?)BmW~n8<
zlUD$hcIP|`{-gy-8#g&){aBExnsXShxgbi=_nxQ+E%^9^4VUX<MYeOf6zv;AsAO4<
zx2;AKptt|$@lba3hovcd=b|vuh>U=nbWIpP*gBV`#fh%VSaT;{5k&>rY_AM^h!A>h
zjE|d>8{IXNWHQwgN6X_)RhAJ%C=~ywCd|i+^p#uYQ@JIPKu7BAku8q=IC|;>hHd#~
zQ&Cwbr!?Y8I_-adT?2dzqm@NJ3ZVR0!D&INEQ(ul@!s`A1G>Gxu^USXp_YYzYYH*)
zDDE%$1@=V)ypP%a_x+ME8n{=PT*j=3UQ2wqmNTRQmaN4lrA(seQE!Nj>meo7xnE%1
zSeyvi+G$~~PsI>>+2pI$W@RLm6ZcE)I1x6d^v|36NFdXb*<urRs>td~XRGQc5nS&*
zHF39<LKff7#=RL)Lq9+2=bcQ^1U)1E+{1P<C^`1M`$j4O3GD04t2m(rPsw&F>Y-co
z7M=VwWluyp>}&liF(hyfG>8arQ$PuC{lsiUv{1%QQjy0GGQ7*E5h+hnL<bf2Q3k)0
z&;`EYD`6%&kl!<I*zj2iX+28Pib>N(Lp|B2*~k=d39gG4l2<{U0~!3EpXi`$RX0m!
z8!D))1_i2wsG?dAs-u=a1>KGtlY1UVgF+3Z0nZjS^yST0Nh=8|VoPYd+_}|n+ZMhL
za>*0W)gWIWWK+@i&nJI9zNQb016+=B{u+o-VbbWo<%zq#owxmKVhGWvCQ7275D{wh
zsi@JTq2_H7^9$U@K&yIvN3&iN$@UDol&jNF$%`pxvq=-UCH>#;OSM|4tZe`J&s|ic
zxFlAZ)MW<I5w-6>UMC^ae<?p*F)Fg!acn)I90SK6=BF9t$jC~dV%xr>6y!gxe8d<B
z5X&3-s&|@<xGjq<CP4?)dGg*M-Lin@qhY$Yu96Y)_5r~??IdKMX<_(*ZVBrD)dW}B
zkx}PY$?Qk3iRkUVTVLe5E#X>c(GkZE65{^T(>Q%X9nDbWwsUQx1B|byadVMSY~jOA
zWeycIeX4h*`UV|pHP`e{v1p-iKfNdDi2@SX_4)j>JUUcg)JwSfj)+Qae}5p=OCfVt
zX#@M`ba*ipYRBWEfo8S4y|jx(kUhii^!CeiXfB!I=xSC+9C0Sk0)6?=UvqXb6FME3
zR5$h46x7hQE0^NWy<<Vc<*EGAla|2br|w|nuY%rYm1fzBE#uw$37OxnTf+UuHUY09
zC1i8ys6BVnFrM(%p3g^O%QxqedqtKN(4&{T-7Ec5aR2ZPIi@TNXm>w!b0l335$exL
z<aYL9x~Fn>%BxwxMHdO5gZ|QpTHb)4k($H;Q&@exa{(%cca%+fNTBUi`!d2tX0g^J
z>$nDOfQat??O``X(dCX_PIa3t{#;JKs}zjE`5@iaQ)5Et@5YgTK_Sc7#hkD#>#OE4
zSJZwdI6?r4zLfHC%U!|hnO^T2e{2SG=M1Qy5_ypFX>;`@l~rs`nWrbL$rN6Qb1Rx8
zaG(}h6=NRZRZPcqchT~^35;Di#?>&*f*A6PdGDsLVD90yBcN#lx;k1z^(Bm`{jlcE
zpn+vf^lOL7$}wZ$$a=8t=!13q0B0x?*<8Xj>%0q5o)M5T9E7++mv9D&0{7eOOIYm2
zwm6LiL*Q!;h+!C<#pmTKgI#$Rv0bg^ORd`tVNPpBE}?V^myU`EWR_aMB$BN|wq+Q=
zsem+#z{C-}dUw9os?j`_d`OndbXgzlSa^ia&<F7BVS#2^$Q*X^1_#OAMIVAxbSx*m
zdvHU!;L(RIvlw^#Ov*8&2Zu%`1u~^O@EDD@oE-WrR=^VcNK8`?IIcNgTeYsiuinWK
zOzoS&7^~1Fy)<2bHTjwc9}}?LuoYU{;~6Yt=We4^UR{WB?zt`4h-1R`!!lYoW-!9}
zuMHemX`r8#L?4T6!?M?$(<o^(SmMTpK@bBCdN(E`b(lM`>YZ7Q#E&!B@#mdFPcKn{
zI;(<S?d!p~KRdIzkY=&NOQQwxOjIy_(eg8I&o6Am@tT-$$t;HF{Am`9rEK+n_-=fy
zA5(sL_{e9sIV`)m)m%!L0xtz)qN_gs#@2@)_1WvrW4|4;no=I=K=W(88Fl_)?0*0N
z0RR6Cmv=nXe-y@DE3UmqwtJ0xFYd6{Jt(22WMpTQ77dY-jD{4+sF0Ngei3DlzMo`7
zl2la6US*R_{rr1g&+Gj0yv}*Qo=3W7IWCT|$lNb}WBMeG3XZo9syx{_#vFQ7qVmga
zi8*=xov`jrEqIu##&{j~n_1H?#wA<2%sjf+EmxsR6D*>ZXOsFSnE!bsx7Zo2GQTfh
z+jnbP1G>Wej3=z7nZXL~>*V=0=Ex3w+$pjKjMSBWdp<hDtoOG#{knI9S+(#xr1c~P
z8gup~RhrB(|BXK@b!KIOit`R#Ps_+~@KElMQ~o^DmWRu4D+33<@A+LtImr;?Vs+1l
zw!kdby>EW?3M=IO$=;>qN`k&<j_Qw{i%fkBg>~x{HgHn(I-^{v4%&1VKpD%-VWM-l
ze-a0nw&Oy{vg#0;wN2-G>?$+pCVk5G;1=M-&vhq7s{vbmMh1Gi&b+Rgx0<_?8_vH`
zHF~qA3Idq<(1E$X%(bflJ#hg%aF??rRXbP}EVK`QH?L%Y^I_w&7n}K@ZZgvR+L{V{
z+My)5F3t+)AJt9}wFKdou21HL8!8~KEXL`P%m!IQ8=>hbLa?aOro*D70%>udG79xL
zAZJA#&8UdLjrTL{28~3}4gFkq47UZ|6c;s%eisE(qeo)V!9-BYOu4jgkqhpUR*uV;
zi9_1ug$GG`M34&%*K(KUfungPrww080@K~1$eoJ_+ms#K8cy?psnB9m{DL%0&XpHf
zPY~dex%ItZ7C|@|TvNdCkcIrnPpgy>0^o#|*Xf6a;B|RU%)*8|w8r@9_^uG3%<!D0
z_k=KT+DA2SJ*EhA<M(hQ>O?T$HFvR17KQC~zJZ@+m7v(M+IeRv5hjX7%~ZX`q5XYw
z<C(hzI9pMYJ+?rEywuy0J&uwPAMv&*)=>ox*LhTQJWv6=Mb{wzIcYe2NOG=}p$758
zQkMOjK9@eN-_cYp1FfaE>{QiAps-8$O?I3b_|V?n+)0s#yJk`ke5n+;=Bi57`K1mv
ziIGji0}Ak}+;+KbyC$?1KFk(~C&O#KmST1bB?#41eUhX_g}42DKDTdbfMLX^@Q@N^
za6hA<uvMQ1q^sNY4-INTE8ZeUN}CAE+@eQ{wCRxEb0+-r9vU<dnDj%nDnR4(y76Hv
z1BfpyKP~jo!LThp)XYW=_V(FX+Yc~6xKyg5FIyWt?O9y^b*Mu#PWkrti`u{v`+Ivy
zk}i00x}DV6Lx!K<&$+vIYr|9+Zw<XzAC5$;m3=6pfP?!^TdP0Xuw_Q_g3+WQm`p60
zlul{De;!iSHPzY>Bdpk&YG?wryR01r)-)mN3c*@|qz&vvrCZ#tGvPxEg?D?i7F?iv
z?o2gi0N0&4E3aOFn+0^XRTV1iw0W(qw@3q%ce0ny4x2$x?CJ^&P{F{a;DDbe6?#im
zR=nStgPMn*%sUDd+^(sDo|p!l;MuopZ?pwyq~fl(f7Jpy`z6mtA$73JnX3FPwhcVI
z?!1*`(SnZG$(GfF1h_&flBJy926x!%=N7+c!0AHk$2Tez;NB4-{&T6@0DgU85AmVE
zj_i7skTX(nB_8i+n!Ksk7IU$vAc3Ww@c00qFkCCI7WFu?4YK{!<j(b~0q1>ucE%tl
z9PH$3k(1m84f=8ex5iX}!;C_R=wD>!qyz<Se{KPnNI$Di_Y)xeYUN#L@_XiB!jsN@
z+7_^2mF!&JsRT7WOOr2z#;}pwi8JE`=CJFKpBnL#0<=H=G0YOMj0Lcvi}w`G;TeXN
zEx(e5;UEv3{2~jA*}ZI)o@fU6ZmF<Ac4>$^GQon*v7_4cH$pO7%)m4wEjcAZ9I}4g
zs*ai9M78SLDbz54k+cv&V<QouiR=pKjO9X~&l&C9`-cfW>7CrHI)ady`)*w_nj5{2
zF)i|3G6jm5we*!<Jg^_=-!;jGN35TPt_yRTLe+J<TfaYZK<(uP%OA>k)U7J(u~WeW
zWDXiLT(;wY&uybKiye>dPd9Bz-fj#k2~qz|+O0D47pdb#wcO~h3`KCqIV0#ca$s;T
z%rWBzXVLH>ZWOt<*Y{DOA(YJvijS9%F$HTEjmRwAsFa7VV`|0#l$rw{+ID?o#_Fn!
zt3KjFPNo^7XN(Ns0rBqPnUxnz#jkjcP6sY@frXY37po5s=Y-i8ZCbG>{biOs@?5Ce
z-+`@UL=Wx>-1yce(~ETn$qtO;xX=$5!@b8W^?)eItd`Rq#q7j`diJn!A^Hz$!LDbz
zz^6{z2BayBbosT2pb8gCH4owBmehqOJ(>fN+vczcf5Oy(6I|%wdA9BDH*_GgC9jXE
zw}5%QbbDLh#fA94ROCyu=s@uM;G%u2OW5&r-uGokxzPc)Mpx-jZIDgfvF~NdDyE^c
zxahFyXXfNLL(2^Y$cDPXS%nQu;1+x08x9`SWm&_Q7{!3R>Za1>`~R>joo7xFgn1FZ
zh9-m)V8E|8*nUY)9OA7kDyy;PL-U60-_kPa5bSBJ{mP6L<qh5^E*J14TSxcX7j)<l
zFY!eDLKGX?Hd&}{s33@Xxol%lI}J|wpL(VJfgSw~$t6bNgpf<&d)<uFG&pJRE&o)F
z6MZw&@$6X>LVkh9PWvTku!o3q_etD>&K*fS79c2sjt^KrAU9B9Iq+cOfG{^wDDucT
z3!>;w7*|xxc`ERT4U0zR<53k~aI;CQ7z)p<OC6+BA>kf*Ey0Z!opYlYYAuT+`NbR3
zSAJ>11NY%%CoO*D_4l7&VWcFw{FOA9bV&>D--y+@DkO+b&Wx=~X-cDxN1_s;%32^J
zY)SYfD}<heJ?t)D+lrKzZ^y6w(1c6p`;K~>3Zr^mVXMpuS;RBYT(k9=CWt+v&Yubt
zL9X=BTWu@~h+KEKgqElYKYY?>&%YK$Gd_|Rqh%FQ$InAwhmthGP^bQSor*XbFe^4c
zv`Y!y{>WQNFVO@|;f?9Tk0nr|+UT3kTgqtupM&|SKboL@*7g?DR0<WEjYtjrB%o>j
z>_W?fT5!1AWdDa*X>{U2R>vn36+~E@^T;330wcG_QmRM>wXbWWk@Hm%dwoHUk1Z9h
zJZrdCpDTx)wz^(FA+L^#O@errHhu19&HJEZuYi09bu?z~lTaKl$|5<?VBM<Z)1^a-
z=&5P0ag87a6@OZ>US_33%i9vCtY9S+jEiOWysUu|R-PsBw9(=E{ZX1%vNCdSWpU~6
z)<l)xn7r{744CLrnP@L3pt9>(<bFOX!c`<!{;AW3czgl}t(%CLnSWf8Q>e&h+^^^9
zgbpMW_Rr6+svzCVa;uqm8p<>N&fm_^gNfg5id8~t=<qI!v(C;m#5?@Y7N4vSq4yMb
z_)4jxLH3~|Hjy;cyPP7e&$G#a%v;<{9ugY-X}<4aC=I<lWh#H{wh`RJ<@o9Lk<eJ3
z-OJD0XsFQ5PHjQb1ST3&rWkj~$TKn`fb^A$wDUa9R;Qc7d(mBD5fT)1o~QYXr7jg2
z59Zl9as$|GCJUpJ6m<5u#ctL&nkc_t#Lm17ATcqmqA`|&0&k|auGUh}-&`HG9kyn0
zw)g!G?H~$TZsFTLd4hzL)BhZ4?l6NL)GH{4NI?~v{f>cys;F4{rmc;kIVkVj!S?$B
z8L>QHJ=LH`ME~$n8UI}|hmpzCk`cWm6#6|{wKrS|weiyNyNk`?nzyHo)0{e*Y~as4
zo+pnwYHO%}kvVvB-$`EVRzp4FZByp4(kN7=yrZSm90+Fr%BONvQSyZ2&P%OgD7K!F
z_$<L38gwlJy!NZ0G+#;i;!8q^HOI1m>S7KgiN@g@(*!h9yszqz8xOi%F7ZfS#2n&|
zC4|{TDWem{-(Ezuu%o;sg>u>}GqBZNP#h9fLY`aKwBjQEVqfr~dpkYMfZJ1Sp*&v!
zP5r2M2t2ZY1-|8$6kG$)P5+m-H%SgDEv&I6noeNhQwLVO69ASuoBGA4w;~V;V0%2<
zhv~n3NbFJt81*X<K6ye4?bePh-2bl~%eC~}KOMpZDdv-PaUluhSxIg=w*C@hs+D+m
zJ~jnM3F3ZopD1z$r=oS*Q)bI9RY}|z6VSE^JF&N07-el}xZ6CbWe(L$rA2a?K#s9H
zVUbk`<yvV)ReRJiw-3l_v6~r#Lg&662Adq@l3tt%y7QXp{4q?qKg<YTHwgb@&*wo_
z{~3v-RaR~G2<v*2Izz}!8qz3V=0dP{=d!hKKGTvj(?)9ZJ_Wy66Bd&=kxa6WdQQO|
z>>tk9&*h*2T-edFG!?>*zT6LdT=Ag-+x28nuIHIPl<vNo6aSDEwf%cGJeSpk-Dzuj
z7|5Xyzx|zeRCD8yLIKWCs`(>ks-v_#?WG6ptCKy=2mWDB!F)etabGbUTh5?jgDzZ}
zS*bbpZyjqql>DK?rw4oGek!krtP55$TavZ$YuK#PMDgFV1K0)St7{u~bs+I5e^dU6
z73{zvuXxM4VJt;6%+rNa2fh<qpX241v4eIniOKxJjArRpogvzg;(esmUU~_eILUEp
z^~wa+`s(NWzF7veZa>;;@3e>=cvYUM^LH96AXM)xJ;8uI-^}G6d|JR-*ls+!(Kw5h
z)Y!lLJx+(NPk$lo`T`bKSrJf>HjlXy6Gwaf>CpD}*KdJS3)po&*H6O{3)rJSL6cV(
zXaJ>_{aa%euyYM(-fx61Vc%UB#6Di8!OWm9Rc3QPANNL@!kraN=g~{4N<JC{bZhUX
zTQ6ef+B$}x>ejG{l3#laGN~|N_%~X9d=Xnv;4YsP|BE@yN3PjwQ(-ae3&FHv3FDbe
z_~B^Hg5HG=-`tX_1ss%JMi+~gu|=NtmiOs6v}~DwyQD)Cq<>fE?EAceDfz3Ge&k_8
z0WTikY7o|h4?jEm8whI{{b<g&*t_g#y5k<n$5{isE}bEI=d5G5Wb}@Dn{lFubL$Sx
zc@!AodSz>{|1b9G;hT$70$k``hD#3<M*;1mg2hQGmQ7we4RCYf(Sw5_(W-~Y;5m$6
zC?evJ&Hcon4pm+xoT=Wr+)RR%Io<{O9#*td?QK9_2tSH>ew1!)Oaj3L$&*pZY={tB
zk|-T6h%V>PN48g}LsjD=#-EMNe~#SVsMRNgT1Jj``hz+MpM35o6~l@4Dc3yB^$<a+
zDLwg&&uXx5B%$oBF&8Qo<KL!@6GNY=f5i@;Q-ikF?I99U_|5<Qn3dEdj^xhJ$Z<q9
zaH4A&Ix6uZ)0snm5=teJI!kl*<q=gVnK;uR;L4ARGAeIQy_ZJK83LugRjM$fa%5rE
zM-Y8_YTUj}L>5K<J|f+oqYCfZ5BE-$3!(k>M`LEL%cDnaS=H#VDr|_Q27Xc#K_=Uh
zM5e_RkyV^uX5|}I@Vi0Ih_4hyp116c)T5M8vhT!}7MvQ$7{t`h9~Vc+`A||j7XjJ*
zk+VwiQG>MSmNR$FB#~N!ox0ysB8o{~mOeSF26x2cdyvs)ZcwOlPjpj7`4+;SYK7`h
zS0Yhj<RXKrKGsfuR8vQfesym#%_hN*fI*y6mK<^jQMICRkdaVD!K;LiWO)2y^g#O+
z1@ykL|L(#B1<Bo!EV8uJ0EMjNp3W9U<Z0$r!~Cj=-WD!(dT?q%sH4(bXN67P+OEdA
zx>M0=O!)(qTU7Wk{Ubjsl7P1K-7d<rq#;K$t1}sh1_~;EHEokbL^H_yE+I=tZn>`7
zib@P{5^;H7@2ZMUeSf>d`zsxl{NxYKE7FEqjrTGv&1&e7;;Sz@{tWbHH%Gt7F<rn?
z^yd;uBos6I>u=5{28xqxrYBnK!$#1wq}h2g8qz&@cw&Qr29DfUgdK)pBiArk`jmq5
zHS~T54Kh%IZ_KMfN8`;N)abiWpn;Me$5L1>G0^if*nYW_rm(AiBS<b>6Ro{IbLU+n
zeKUuDEnqbQm@u7D7!c7yX;*)1K7LI@<F4$O0@VzTartBvdTOE8C8e;Svs6?}c8+c3
zH3x?0-ZAIRxwh@>RA8G1dK>ji=KEW75NtiK{#`%|$&Dp$3v?nOQ^Di4BW|00ikrco
z9iWL6>yz?!<f$OZ#;9|Dn=IghOR;@%lm@~DHmRH*RYE+h9uboq+hBg$K+?*Nf?8zH
zY)uZ3Lte&b*0rRz0gE~3N#ijRs{AFnJv2}Pt+uCCM{nwt?9`&w_oySsk(NPT0U^}k
z(`D(>ZUKpor_!(9QAN5HH~F6<PE-=F{AcpA1-#)b+1l`mh>obR{@g#jf;~ukC{iwM
z0apI!@DKZy(Lnj<i|0oNu;`|ck@ru`;bqUq$|QCr<nwolH8$e|Q(y5-YmB-%s7#Q{
z!l?=<?Ax(UF~vzH<H<L3ho@%1T730@(l;5jt8qsdXUQTHuVsHBL)i>wEnIVgLZy(M
zt8wRI`8reg1&wtq3*e`jqeR7iag^ux#@z5C3z+Wi5tvc{Q2Ao*+UhBS^eJIFUIRF=
z4tP#Yux5fiNqdo&Cx}KxUFBseSV4>QJ%HqF3V54r)qW>l6cI0L<RHfeIx_lO)dNkS
zabk?g^=S)AH>>_BO5dE1HC?@T&ln=Fe($<a!-kw`_itqLuz~myo<?fD5lk7!jFJUd
zP%&k!d*&4@(9dZ8iCi%RG2irEU$3uV{%7|ZE4#9S(67-_PCY|-hJXL8;_*Bd_bfb@
zZw3dtFLH&nLJc5P<fVZ8hY9Rms?k>L3J$KFe{uBeTYaF4WZrukGKlH*6-%!x;sEz8
z#l(KAJ{;wmX%VvT#3=mvjs@>ofX!C~=N+gA{{6znB#~EGP=uZ@++u;nelKo=Pr9HP
z64h5fRL10%ZvVLI$pUv{H}*v6=|blIBf~7|ADPisnkle{1wwc;Z_H)s0J6N0v+DeV
z`S^Z|{s(&&aKx*y?iJ7h0YSuU6B=X|K0Etv>O2cb3T4}SM`{DS*nX=0&M1@nzVFS{
z3KrOHF1v?gl>zPV_FfXN8)x?Rt+PE8!vU|f#E5VZ1Li9YKS!5NGxx{F%ht!^;3Ov@
z;`AaND92;e8(+;bP35(C8%V6M-A=-t?;;%-ZeecX$@9!!oBS=|L#&`s=wb1VjSfZy
zE{O!+1!hvg*qwz}Y+!Sv-lr{|1`N55gg%`m=0W?zGY-}4U}NeLF`-BUK@C*Z&bPwE
zKcadFbaOz@T^$3%aw>S$e0{Gvzsd|6G(7xHehW0rkEJ$j_LMQ#=fA#<uQT7jP)QHF
z$pxWpah=vbwE%xt=3LRnU*_IxpLzWh@Zg^=ePCKq3;glR{+jn#;J;xn5bNiGyFU*X
ze+bZo%x#>whSxZ_I-a`Z-OdL`-|Z7|Y|;Q$p&I@m92>Zb|FDjn6@cf5&tB$J*MNmf
zb=Oo6vV(@x*;9+kLSS`_b9Y)Y1<EY8ANcr=1GJtvd6ga)2GV13mo`2MIFy9@MY?VQ
zruxYZ)(#QiW2(w$C6J+UJ;BF^pBr$|SsVYH#Gt3kKi!x}1~-ageC-e(?p;}P=wp?D
z2#*K{d=m*=f=(CA4DiBQNCUC=qa=Jz+D3U9LV|-bi;@?31t7IJX^ZAtY51vPt)<B%
z!B@O&P2dYbi2Tx)(laUpUN82OTck+PSD|@zd`Sqt#dW0C)8&EpzTZQAUJ_WUr&k_z
z5`m{xUO}o~6yU9S%d`8Ndda4?-ML>xAwM{+E?-p%SWJ9}!nc#)U+z8@v(w^m^6nkk
z$#`XOcp4zSC5Z&i39VKs6iGNyG;iuANQ99cd1G(5$<VwfiMxqQ8eC<Y^l~4mfYKV*
z^oRe*Q0rZ`agtL8MtD1pMeI}q<;VMemR+WRIKFm0i6{qmCnRrr;Yi@yla%IqQv*CE
z8ljS|08wQ^Pq)7&!`73D<PV=Uq0gnwOwvmc`c?+K+^%SV1G%XCAC(HS>Z~3IGL^uS
zRCc7pObg^pxsx?zXrP&6&CNfi4Abpij#j}`ppM2*5;f^i`Q2dVk3JC&9<C`&F{MHE
ze@-68ehgTu&hdX5s{-nR)1L*WX)sL2&0KBKhI_gJ9BF;35K!h`x_p@q;|>Nq-gdem
z@v$dMl&lV)?M$46#^}J=spKm7PY+s;YT4@hlHj_f#VG|j21x8e($-A|a4qN8xZX7~
zguOfZ`lS>D^hjMdg>#G`_}!fOlPeU6Nvw<D{!EAUrO@Zi*G%Ayc&y!wg9a!+yywed
zO$YyvmkOeNn1G!z{I)c&0fwtzTzJpZASKPlH25yS#(HdTot-A^45tsK_)y_(lC!OX
zpBb!ooqA0<r3suGB%c<FCQM4Yvku9dLtX=~W%zbYaO`LJtkB5tFbQ9iT5b+srDq}s
zIy69_i8T9SK@}E7zVeQdEFij9vF)O?28=(73KPFifUDd1I#Yu!z~pvuoP#0-Rz&zJ
zjvFY#_tCv}4e1sTq+SubJVk;F<7*2sQ(K`S!=>?NrUjVpcNS~9r49yz6MrH;ivh1r
zHK8Kh0=jn7p6upOgM?3Ny0+GW@Fh1hg=}d7@A${M!o5}C*qoDr<XcV%31mHIy<iTr
zzaE5(ydZ%1!z6v5noUmpSZh0zXb#_pt~yMvDnW{HWc*{>N#=*3#Mo@2Ik<gz1}&C~
z;AccuP`=sBoY$V_RVy+B+3LMR?1u8-_gnC5=(R5F6#X+-qOKXl9SE+P*t}c*scjLu
zg}<=VxFgL^ssZp)7jiT<Bw=(wjnKb3i|NU}9QQW^NcIh{#VLzJTWF=&vHJ_ykKJeV
zixZe&V`Fn{XQ&9YbDsP?zPN<NA2PX`oofmvjrvYAcp;!WXN_(+tYAexb?~Oa1iCb<
zADzhH1NXu>bb5BPZ}GXFPyKBSLrLmCbmO^U_DrP}*U}0$u0v|DlrV;9XU7XWM>(KW
z$>V2P{0gSpSo8PsP9rGHGBnwj!3uk8CH7eKEn~Jn>9+pY4WZS3`~7vdf6V-5Um0H9
zGM4r{cOF^{fPSR6W16ta6ySg6+sCzpy|CxzC>JpRPnXOaCQ%Dax%5X`U$_>rYthHr
zj(Y2ZEXsCEIyTGH_Q4<E<6poIiDPw36?&lYUc$R0Wt@3*z3h~~(jTmN+*)~ys2=2x
zK3wxR7-oJJh|PlC^H@s>O>{?~E_lrvoi5exWm5ht{8o`ThyD0h{UYF-4s=%WewDHQ
z!sNIW#u>0Oi?zhK-!-$)0VUr*o%5W{Ow9wQl3$0<V&T7-99N6AA%`yTXz2F~rizFE
zRW<S~X4xUf%T3S*H7Ui`nbK^`Iq4P0g_Rks-{<MQhp7y>aXeVZX#`<kLmi5gCT1{<
z_%w?w#sInk&dPz&irE?;van;D#rklffsu)HFt+;p?S$ngEb3rVB9S?Z1@ZVv-w>li
zbpIp!zrtU!?AZYGs?1reCOfW&kVb>bdiv1qyFW0ukL<~|#5pX5qi4>9K!dIm8F=}#
zeVFa|j<kdAbJ+8q?=-B43hJp0T0zVJ_L=Edcs+X_6Fum^oD5VL3NcXpmO6wDu-sPZ
zPWgjfJSCy!^HdAy=MK*O`fmi2nib+Ks9M10F6Ec=Y;rPM$X6t{VGNUPaxkdiSi)v(
z1nhaYXo6UWQfuh+Z|sGM=CtCaWz77?<s<f>0Vf9TS;bQ)v9j#$zzF44?2V&n(2q?%
z*IGE4kKCTdioF|ukFKp@8MbmW=?!G~xUr|i7(a_Sx!4GgasS1lz8xfF2$6y3OF~z^
z*Bll%SV8@u#)8^5GS2<>Ccy_;+pe#l=dlB!?NvXH<4}qSTUTn0I=Eky$%^t>z=AHM
z1io%(MWj7H(>`rghlXN>nq;vhY_9~-IMA6L{kSum-xQ$+H5>|jjEQB;g#GM8b6!sL
zdRASvdP)`ipY>VQPpo2W232Rj{Mv#%a+-2Dy;Z?dp2A?2*}yQdlOx(o+^FaGyAA1H
z6?ok37|C+^9~Rg;E!wKji%v0umalH|CFP_r;Q=2GrKgU<@t6GQ`?ZNzOEX0Hn^5?{
z>LM%Rhr<$tGC`Cjt$x}%ng|rfn{s75?C7!0@aId~!l=sX?(h{75$^5UNwKTrKrFQn
zf@`}(5b@EKmdURKn4f=lr~Tm;RBhSyj3Y-3z3;xWk2jeBVV6Am6^gkLMdClfdnpnK
z<n(V;dJ+IH`uM+~SswI8wdw_WC51Ex^)G6e5`Yq)DaG{TN6g$^!OdbasNMPip8%Br
zZT39VJh6gk=NqC_d$t@Jb>s`aYCr&)iIOwD9Kz_t+mP!YUMQf`X~(;5+zHTV`Mh^M
zO9br<BSlxxlu#U_K@)pOfYTpkl`1{O(Dy97>Ap5)<UHcHy23+*Aw%^l^BoeX_2Ojn
z<7gtnf2^(fnn{F<{?}r{9i-6pYa#D?JycQp<nT34Ulni&Hjo;*y%njg7rkBFr;fe^
z|KwWsQiYeE%-u$RWKoluQkSg@8U1(C`0|%*H8`DnZaLpf0bT4m+HoLA0}b`==e8kj
z=8fmFEB)z;=qWev-MLgP^gjRq0RR6Kmv=PQj~B=7z4zYZu^!LkdF=7I9y3uAqR`T}
zgoc$BQc4JAMMjZG$X1fiCsZP`(jp<7?7e<||K4-YJ?EZ#&ii#=nT7sRczRW!6zRE<
z*kv(h>P92}K?0U@Y_FYK9}f;36L{)-a@cCmImYe@BIXoB_?zNEfS==uC(a5hU~4Vq
zE7e09Sc&nRK*%H!2J4u|{uL`?Y-{KLZ8wmxa~DsH$z_vZcSTqv8kDd@3E~b%{m7W!
z8FGQ>ZB00JG|uy2n=-a?Y(T?xnT&ZiZ5?@?sSW8u6N?!XRqRi{)!&CiP3*ztrZeF`
zbYbe_(u!M#8g|15ADknpiLqIJ$Cs%a!0G|R`CISt*vS)@T1%_Q7-Qo?h-<tNaNaLn
z#A?*BqB}S5Sx=KN!|Nl;aaRBwH@5z3CJ?Yv%GAZ0CJpRGkLbx4(Z+D#SM|Mzt^{l|
zbJn-nl!#SawhS`7MS;zZf73K>1nhBsSY-bi9%Iiwqc7@g0>8@z#D(_f+&PsJnzpWt
zX(kBsdGDD(XNQ`tQK35a*l&Y!^tA#ue?6@|*2fg$Dp%<U>3EE1D&;)yMHy`NssF}>
za#ProF%h9RP{VL9{HhJEh+&GWY+arWrqJWSAU>3-f}N?kPIOJ;!vbrbwRdNm0=_Um
zeD;$Pc72c5x_*WQJBQb|{org0`ZiYSO5KWBpY4TTs|(vG$M1A0`!y3tzr@gfv{@cY
zb}rmoupC5#RZ8rm!cAcB=m$BLQdz9H(WJ>yd<2>Kw|=^Gg96K!2c8lhNn`E?;|#~V
z){v(U2p)7^6nILEex#=&i9P$%q;-Rv8oXU;6nuUegZ-{x$KC-^Z1t6k<Txii6khPY
zly%S;UcdfSF`FfbRUYMXHk@Jvlk&DuRurHq`{99`cs?w(f-LR%jTyKv4CC#!0Y+y6
zTNtRgF<XUd|2k$?czecRwd^7S-9qxoDmXSQ*L;pQtb`S~82*G!`WQi3++%0=UIr|O
z-((?of)%<Rd3iYAF$A+$R*$2oXfSs%1DBsaS>eAs$J$~F4B+)t=vNNwE%fdf!(Fj#
zR%l@6CI0Nzhw?w%Mu|a7Xq?8%nu7%^$TvNFAHt*$E*He=QvOY#{28(R(&H?k&A{CB
z#6k~v9|V>ae*BJl3SW*1k70pw`)=0g1YP*<u%UJORW7Pyu1pHjX8{9y|BIo6I&hKk
zm2ymD7h+J$_@tJa1&V{71`liL02L9xab#i$DLGU>NIk*~U7E;ya*8&{91)(bVxK}x
zc&#2j->;9q8N$<TYJnBsvM2g_9=X0&-7(6*0`5t4H&@-Yz%j=5cZ=9E!r8{eDsh+v
z9J}iBn!jp-H>dK$PeyCViQ6L7xCR!uEPlUQ$66CwBcVK4Z4)W*Aru8UumaEBm!YaH
zWQa}7!AGxbBSLu+2}cCjATV@~Df$2zM7#Sf@^beOfxmy>_ffNhE$<`>og{d$m8JAq
zk{YaJb|#3z98guV*y7|ug3nV@XGoqjaFXLT?_*a^z}-1M@OxGRSkswzRbSBpeSyz$
zxWEO!luZKv-O>P^1o>4iR(iM-#_jb|mmAy}bll6NHDGFB)@|iH0~}9PlHHQ!0WQLD
z?ulk17&nfbf8EUpjf|I1h~Rjk&R?lm%bN)GgWCF>hnXSy{?jN?3qFt?)u%}pBSN{%
zm4I7+SfFz$7cU*j4>sJ-1ZTSmfbcplMaQs#^D0Tp<);8V9y)!qB9Q>WYsvS0Z8^X%
znBqozL<sb)g+e172_XEf(5_L03(zR5Hx}c<z*UVTFv%0(7`EBrBf$+W&Z(EovPFUS
z+5uY9raIu~Jj%PtJYeulerYa19FB6Z2AQJjAneO<&gmpCSiS00+PEqS+iYdp9*@*v
zGsIB$Yz`m1%Ji1_@lgt%79V)ad0!o-DmPO#R{7zX`$)~=xHP<TG<&z4s}8fu%}hVt
z1)(faXtPI17Lv1lE#!LDL0~33oj4-|J=NNU_nqayKk8ZZ7B2yKE~Rlb#)*It-H(-`
zLV3_X7<+;K2my3HwB{6>i-GLoK<_B6BJ^3eCJN^fKzH)q`+LF?u+n=*4tD_u+TT0;
z2y8?!-P5g9qmcp=`})+wT}r?-Qqf`*PlS#iB%2%>X%O^Ev0~LzfqUy2m7*#d&{}7V
zt7ek{;;>`<n@6fJ`TOWKx4#;|^Hcv~poA>UKg?Ni{ig=y6#^3)Z%FXRJGR0`Qx5Er
z7a8|(>R?;cy&+ddh8wPn>VIwIK`-9HrBjjsQg>s8M;kRk^Lg>2vbzE(MBvg^lL+wr
z@D>yEq88{JkfE{lRfOPzj{@0K1UP^=yMNKsf%>5%Ozr+SxRT=2^-7!wzp1a>{r6B8
zBy&5JqRuIScO+Fxg(4A9yV2)C4EoUiPCIW^Um4b~iJY6KC4w!zPr`VJ0hs$s{)$*s
z21P=<{IQn=(436oGMhJqK-W_r>mya5>1#@C3yuJ<aEw(Coe}6+UKJW1Q-P<w)=z0i
z@bFOUbYq<(fP(6AZGwm@_;!>sC5os)Pz~DgeI9`Bfm`HZVO2=^T3MV=rvl3(o;@i6
z#vn4}5|BNt0>LMHxQ5GdV3%dhP5EmKmDaiqCj(TVdVX1<UsD0Xx;FKWX;Z-NRqO7%
zK4mDeboI-~mj$-sN4ZZfQQ+s3_wgvBGCY@^`Z2>V4M{tc%ce0D;Fo)&_LD;i8vW97
z?Idyd)W##65laCrvp=nG78OCP<%_K2O(9s((kfZ^qX3f&Utmj}0=R!k%5x&|!A+OM
zQ|As)AZfPUqV$qHIGm!{YO?2o9lqaGrfd{A%y*Tt%P$8`WH<JgL(DL>StZT>&KRNv
zE93iWWxz>TrHqr04i5JfU*+*MhL~$&#<|C(!Eb(1o6CO}k!(~gv1d1if()APbF@-`
zs9ZW2dT$kZp6RFJSp;ykz9{hZ6>-Q<HNvV7%p>|T&FR6W08em&-{jUrK=-p*>ie}Z
z<Y`pT^-FaKGzgd+$$cyY^iFb9v0nxeap&u81JnC_p-W?Dx+(xS3Ri5`nEH^Jr$NhV
zl131CV_35KA|DL+PBfh9`hvVw_;>J?gCRWJJ303$o(IeeS2C#6J|Vx<iiOT58i2>Y
zdco5JTu?)$X%lDMg6Q2snBRWUhx513OUAz70E1Scy>ET3i0n+kT|Pd2$m*_;v7BXv
z-xbsEGmJZteDRkRF|K;BT!WnQ4rK<dUU##{2YZohwGs}QVqF-Ee0a6jo)K8b5^tWO
z{6J0!mehRO(}9E!*wE%xdQhNd$HmY7Mha+k&!2PBf%ev01kEqBu+8p<O(hN^*M&sY
z_Ok-kU+4vXJ5K|?Gfbq|!BK?v<h=fzpf=ohUf8zRriRl_Ex41%CJ|k`uNPCpwBSVS
z$nr5=Du}tvFQBk6gPe0_uP>O?gxDFc%>17HJKf(7i?E+ZT#kDh(K~B`-RB8?p_m<n
zY|chmFj_=9IjC<Xe<nkbuv4sc!ZvckzO6h)XBk;oZT?|oN(TO5wLpu3EhJ_=Ze*IW
zimZitom@akAmDR6y6e&w;;7=@dF#|VqUmJEpM{WMzTf?N0J4Q7^0{yOCvPI#c30-K
znlvEbS)o<r!7ap)`t<#4!`nz>!t1qKD-BqGuwl8Ku!UHEtDX69Xb)M^WW6KaM+AvS
zZ_hqq*+w2t;``X<s310-JHz7~5#}i5o`KifNJJ3(i&iTdkh-60p0`ebQ~o}^A2N3k
z9_8*+=ibtSn76OPw*&&PW~`R+Rqi69V#x+S575J2Mn1i;3IPVnzF3Rz>><S`mY$wi
zVt{X)mRs~G>d?d@Su*~X3aodQB<$WYLH@m=p)37(c)e3Ee(WJNd?SUXxxQclX5|j*
zc2zuF*_ok?$J4-Pm+3o>@7RDVyXIZ&Z8gZO{&Qn8mlm%7a`rn!%L%SkZufMjRN;o>
zlbz+Sba02=I^|;>7YMjDo{e-;g$dRR8ly@K@MuGy&YFV<bWAK1wYybdv6S`j_s5K&
zn`WyK7sd<0BfHH<om4<H=+&O8Au~vOmhLXH^FwP?uNlLPGPpO2n1@rdLUE)W{aS+n
zT<f*@RuiubOfiGM^XAz=EhHj~Gg%01TWh{>QIsLif9(Dfc1~!!b<rq4K?EkB@jPK;
zQU;Csi=90sTwq1YqS~$$gH}Ca^5(D-IK3mOP|b0JM(V{%0a{6zdPmy5_f-jw_)){&
zL0-uDC415mm4fgT@rx7t{eKe4c%Kh^fFv_tsNt0X=EQ(Mc^t~n<5(s)bW#8muEk4D
zhsi=sV>in$7iDO563fXK76ODJJkf(n9+v0$&Z>1QL*@v7NXN1;M03VHUrbd1W3A-r
zdS4Z&8F<pOy&wwrYRwpJ00%kVSA=9NRKa5IW~mOh1W+}rdC+YrfvEvo;SoDE@Hl+V
z>o-mcTEA?3m#J5Q=baVimmlH5T)bqh-$@!~S2AM9Bh?`4LHi>UJ_20$akrf*O$Lsf
z3HOgQRfl9*(xc=(0(kW2*)R;rLhtHY=3FoVKDGqS&T(r114}w7nj{Z*LVaaFni9c?
zOVaM0H3_m_1gxvYC;)@zpx4|Q5i(549Hf1op5PS~_8e4%c+JyMIk6g0<DU7aPEQNq
z`aPa7RV6U)SX>WY)d0QA7Wje*ZJ2u7IvnPq3|f9eIWp?|e;(cY&9{}haC*+9Dej&M
zgx3nZTvsIlt!Mftx+HyIlnvjKN>GL9JX{Fdqz1GZM6t958-nKw>0z|H8Z0%qr}LfE
z0CuXJaCTP&6n?nfjG)5<(wa1AyZ=wHE(+5~rT|DZXjPB@hle944~Z%4@4LL^Crb7(
zhGNfxQr{>%oYoP^PqfFwxutnlD_IJp-ZSw(<bnqeeHP(zdld-WXi^t`OWEh)6lc_w
z8qgMMv;X79!K1w^MM@eb&_+uwMbc0MF$J<uZ?PQsC}c@%N0>lvOV!XB9aSiMc_~)O
zTpH5;ejBkWFo9F_TQtx1d7M~WF1fiT3grs8?=jC!U@f4g_1a@4NHa)ySJA-_rOyn?
z+hR<>-rce@LI4MBc}AwSnp_a)9gpoDHi4QzAHTk<3P8SA62^I#0S;x{$Fg@R@aIih
zoAp~cNV+=8^+RAAd7ymmo<t@EqGfE;r)XqBSmQ?D^oMCAX(D_+R*eG5tV*A5ACv|z
znnQQ?@*5GwxJ$E^wZ>4gZN(~SC<)QeiOds*ztF5t6H@;Sj6t{Q?VD*@F-YB%KNj|6
z8ci9~p|yMm;PTSU&};es92B|7y1j_T<>e@!HwRdyag3ed6M%#1o1zO@tLW{c;1ci%
z0r|Uilmi~T;Exlp&fZ-|(Q9T@XUmL$v>~PMx5NcO&yUH4pWH;-D#aWMJ{!WNJg$6)
z^X$O!V*4BS<|bN<3HdkA8$d|Zg{}`rm_gj}S#s{)CMuX^VcI8V0K?2r4v}-|Atdl*
zR8smTO8XIcQDdtQ9kK~0@keQ(sF%flcX9*84|mcD#pwYqC8gw9{Vvk!%NB5hZ3CT^
zD`S7yp$pCDUtT{Iw1F^V=bniPuA_9k@m-$<b>WU0@=~;88R5DzD#aqYhT7F0q_R1$
z1C4>|K2F8+h{TgWeRt(oQHQ3Av8sA)7;boA)4)1~yiF+QOotVeCS;iP`92@js51Mg
zGe(fW&_6cGzRTznqL}`-Yg%yT@zP6<o?pnX!(*OJO-raaQ)c{Xza~gzuGg(Lbs?Pj
z&Z1r9B~<0g&gchoO}IRH!b__19pa>OHbwo@BARq4lAEiV4AF8thwfP1L)^Oc9(YAA
zqW(wj4?k8U1DE_6$t3I*x|8+kMZoDr^b~IjawwYwhgQz;l@dOo1zZw_eg7?@hi;cz
zFA9;s#gQ*z&AS_&e<4u(>%k%#a6zWRGfe|NI5#T1Y5#_P32Yi@9$iE?@|S6|gf+m9
z<r$@_s~?RmXa4Wk$t5&_FlyzMLj;{%Ki!U&Kj`vh=bkv~W%T=3tCB_>5vWJU(-XKy
zP#i<<fv~n^v_dppGp?EdJH0p+9-C2g`h}u@06{>$zh=V<YL@9-Rcl57Jz+-AxLe~W
z68xtI*T0H7T~D~?U7-%-0kx70Y!by5pIJ7`@89eAr}JBbc*q~Wym^Xw23-%YS_{hB
zK!fhsuru-DVU?5~_~O5RsJ6D)+6S{O^ps8dr|3g!VDkA)DZ`a{w4Z61m?yo1Hc&l1
z5WJs9Jf4+?;SCF@q=<~yUGg4UPRo0Js80p>z6iI5$Sk2|_CKqUcT||o*MIGw<y64i
zc)sC7&N5nMHYLZ&M1!dWc;z|-DZ_DTp%-R)t7xym^AMY>v>4~LC30@B66`g&PSdZh
zp%(usT^-+}!)6Yi?i$zH_at)LqUE;@G&r@}T&k7<qnMW7^?r<l>?9t|#NjP;l1+3t
zC4&iDkBzyOu%A!9goxrov0aq5g44&elm%0+p*(GjQ3R<l?xo{qR9L8B1l(O^!@xzZ
zDxFOcY8)aoCDN&}p%F=(Tp%ZwJaaRkHBAAW47{GCu+d_P=~*G7V%*qyI)QMqngV3p
zRO4UFrNc(-4~$4<^I*O<>vI$B^1vJVaryB{2CS}cHI&_q4_ngA%Or)!Lus4ou8lbp
z_OEE>(LApJ=B`@)B40}$a4jWzBga{=Q`~*`7ukid!Os(4rD^2h_+Pohx1X?KPJE^`
zrdlExqrcsesX;jq;=8Z;K!OvSv-vVapD2bsu2eoz)-4C?C-&IPr@63I3;!`i2}$hq
z!BF}90XblEko&`Qo(DT0%zHd*K?-ZK^2v{-lZWZ?%Qb^^d{~?4MXU5HGMLRDOZ(P?
z@{qc8*pvPvKX!{>>3%Gm95x~laXjReJPgSz3r4>b#G)8ISPs3H$9OFMeF(HwfXn$h
zvkI6n#^1=-^(9>qYg9xWPm3r5LbaPMzbT6K9s4l#{*DqhrivR&6vx3LuV(<Sn*^p1
zylrR`tAah)j-h2ZqXYqsD@Pmsr7)~y^J#dt8m5I(bXDh-fjX8h$*ofwGw1%HN&Q+K
z)4$xVaidce>Q2TCC>Y9OB?{HwK8_PG%(8`!g;gC!oV%@$zLvu>iz1NjNh0PyBpPJV
zLx7t<6L@<-0V@?J^gjNfft{8}<^FtB16aC<O@bYYn2@#6-&@5b>{=^5lEz4e7cSZi
zv(8FbQGZLAyCWHUxG<yhdPWoa2WH3@eko(!sbQlBTFIEgd{(sJt~RX1oR{0NP{kJ0
zJkzYU$XMi7>RykA9t7Y&g}qNw!w|8F-^~MLOk3fB)Yf$aSY^x(rmMhX-EVXM^<N-k
zg2&853OkG-`|+jGi4=A0x1M_e<3keW>cQD{HX0zug!t^8FadMiPems$4XiQObPGu{
zhR)lmt)4)@ZqQ3<!7Kqgy7jML=q?2WbIid<pMXV~Tnrho#bal<%fsF5P2l>^)I2?A
z0;VdD>xet8j3s|g80lFsfk$&;)hYJs7`3L`@i83*j778ivXiSR>^v#Cl}N#36hpEx
z3%v{$k*CybkZKB;*=SV2s47O&7}CTyEQ;}`ipKEem_oxl$s*GODwy2CpJC(1eAwG7
zj5&hWO~HBC?Aw<RCCsRyF!bnK7VKQ6WPzc!DP#(_`sBqbV&|QP41><@pl3R0#4Nv>
zK<_N&#^!B#j4!M+qIPx&tqm>T8Fw=Ql6%LSf5EcY_tm?`vBw9Ih0ny}qQ5Ah|4xi?
z%10WrW|t+5BP+<se5$W)hbiDNT%=k#FM-9gcH<qg_mGR#o`(zfeffKJlA4CRDE9r(
zdnB@i7C7oEFQ|}>L9!!dk~3Zq%M3W>lXH~;SgxxcYIqJH(1Hc|Y4Blo6Aa6GwoGuO
zOJ8?V7T~2!;m<1q+?Z&<tayG9Gf?!W?y*}S;Pd{%Ywl}on85M-1z|!g(BYwjjvX-q
zxA2xSUkW3pvJiUi&=D3mwnL1(c)<{SW*O?IV`wllANTEN6c+GPQ$ciM4B%UFUXnrb
zHahU#D*G`#3yhi^yIEeN4@<MU)(7U7(fUS`L})29%-bnl5uMcosfk7Y2*M1S%s8WQ
z)P@;2=i8;KRrMfxIaA>B=pb4aFZQ|l9~0CGR93$C(}i3)iz-37X0&AVk4SPR6WA=?
zw0YXB0}YsKz(b`bMDUa`jg}h|3_h{jcq6I<FYBcb2jhMrCUp|;4(c+&g0;wxxFBti
zw!CF<FMJd+cE9Y!s=)+$;S9Ae2DD&LDQEdg$qe#aZ=*KtAQMPHWG!Z)1z#9vPWWUm
zARZ;o)0WXpu!C)sMAd47WYv$SF8RyIX7Y>0iAg4KO0&Jttf~oFI-GJHfon);Xy)m^
zSD7K;skfX%0U6@_TkVA8HxV-J2#=363rx#ySc~uTU5Ut#ORwHWyqc!JS8T9Am%~IX
zM==S;e%7RQlJ}6?I`P+Aw^)IJGeJi|iv;9?Mp1)4D)3846<WfvL%rU*wD)@rSi%X-
zwDZuw?#M`DY$OL<!{#d2oHbx(_6eu6JuUEE{<h3T&jnOGA%0^^MEH9=mGCp04irBf
z9;^Su1?DPE-~LM?LdE-(c#&0lm>P9!vG~dj<IiP0s&t6ZXy0+5&Xp1F%KMMCjqt!~
zbe*NhUjnqs42A0cU;+#J=Y`kV`CuW=Y-c%z0Ba&UV|$(~@Zf1|YQa%{aIw3cUUi57
zCb!jw&j_<Y6TXoDX{`XbFB_2tIS7#Kp?vK5Uv?0{Ed}-J34xfzSsTStb!g?0wq@_)
zgb3+{{^Z}npr(C9SJ+k^xP+rl49s&uSe^yD>QhnZd~iF`f?gdeT}_-v*?6F{pYpyY
zP8?2)Hi{K}!NWy?gCXKZywKfsTZ=ti61;_&Hg1;Vq0fUyaz2U=++z;Tcm9<EqpmBZ
z7fSH(d2=q}`6xfcybC<6$|(b>w=0U^10FtJ-7CN7CJ0UJvjNHn_r0=oZOCd54?o5@
z9tkZ7!9$OnBZFyj(9pt@DdM6I?OsLU=Gh{!(c0qGup|#QF+3>=f7Ahg>|~Vae_{};
z{-D>_MG+{IXGG6h5<uL)aaO}}-zysj>|b}_KtDJvH|!Mw=50J9-bhOUPvNMLvbi$M
zR%p@IQiwog*?q93EDgo4C3XbgssJ}07MUlBpkPQKyBf)W{CZXTc~v#ASM|9<DA9l&
zoVr7cvn<G*rlJmx#Y4eYhmuQ)B$)m+%jO#_2Z=Jt3TmC|koY_1mva&s6kHYeIx^+K
zBke+M*fjzi`uJrgrCJl_E>(TFUatW9R|boo&k|tcKL}4)(E<lCUw7MHMF>cEZBD!I
zr&cvZ61uiJFj8d2;P@K{C$vmac0VF$W<6N`is?dWVz%mTj}qj$9$@RgMg*FQ;uF6?
zA8tBgR7XmcA){CI-D4{v7{m`nu(lY0{+IgyjQ&%BW49ZxnoJVF&`Co*#o7qedv<84
zSN47V*Vp?Kb_Cd7M-LV>A@Jn0*7bOMRp<{>&@JRqhaWe;zM;Pl!1a8@jwM1BaKDVo
zrDW7#^yUC>DBc*(_Lni?{Zyg5eRlc&urdVAIBok^8-wPF;lhXNs&LoD%B%E09MDyn
zz15SUKt<=_o{b6>h+5L_=4+OR0&V`)vpy7%Jok~pO|1gK4AV*XxMkt2v{MmHJ_UAN
z-J~NWlp)bMqfGmp6!>@ds%6wsAg`UQ6v3?o9O04P-T9)R-8H7PTt$J{^gF*!4=F-t
z+y;5!s{nA6&o_Tdr9joO*%|p%1$clgm<ssv0NDWdx%?~zki#hRrnWqcO_CU&3A2Oo
zeNH9=NecJ|)Yo)$$O5)`HB7*P0f;ZCNb2pzP%Cr;sLsfM+q1SFqjV~es6Jl7aMc*9
z)M$f+)}>%wNIR*tb`9wsE_n8x-579JuNK>>NrFtk=dg?X^9b@|Ps{ijz-tCm&yZVU
z;3*v0IimL$85tTca5Vt<{TDm)YFijQqU@Uw`Sc-{+r5SPc?cwtN+|e8f)MS+{4Hg<
z5s~S+bh`SB5%`QKq+6Zk2QIPtlBCdRB-kR}rD)d>K66Kv?mF_qa^7RfTV>@aZ^rM`
zN}?g;e)?Oo6Tl5OQ+w8>*6UCqp<eDp4+F4qq&8fN;so;jI8S%JH>mmf<H;|c>BBaw
z-o;nGY*6{Uw8dek5}gcG3Dla@1H1C~;Y*dwKyJ$GU3SkxKe_td)FJ8tf5GRvU<xBR
z9#9Ak+RR0+T45$RVY<-Z8B>-iLJ!CHW^Dp5zePN3Y0@mabij$~$Dpe=E%Ybv4Y+oF
zLcH&IORy;Ib1L=|sVIpWGRi_vF!gsM_Lo>~YNE6up%m8>qD%!DZ4Vrb1b-mBv6&^3
z<65wg(ROBGb_ZF{q`t9oYY^#f)c+%5qXiaRrBApfw~$kBt@uB)jv%!*Hr3(#JZch9
zm-=A1iO{93M(&**Lu|7+DwPy8;eP-C0RR6Cmv=bTZ5V*<J&&2aIUM7hW0T)wBr7{A
zsVIufqLdU7l9ZK(RQP0+t%3TzN-82VqR1+nWY5pP&-K37_5AT(?|t8HS&?D7BP-bB
z9^zhw#&OJ`?VZueT}>c5H?G-rEn_ZXHEfr#X-s`aHKm1H6D-+OMQhoXv55&s>8Rs#
z*!!%cd#MRjpoW!mE?i#1<jzs<Wl-j^lsAmcWL7FHdlmeqsxD#U4=d!mxfigilOK39
zZcyO87U!Y!yi3^Ok4AkNTZ>rp#%N(BF9n#DO194^En&?EcZX-wtzcH_14dUKkiqL`
zcSmC2688P3>QOnVHLTxcabZS@44Gz`F`XkzSj(ly()n&1SkNA^=i9F}VB&Gg+Is9V
zmOYt_5vsQ^Vb(n7GFuI(erXtJzkdZw>M@P9e@p{)o6jnFTGS!fJ<Yn(ZWZIASH60F
zjTX-J6BERk)L}iof8pM_HS9EF!d!R&Jrq}_4(0Aq1Kwrt%<aZ?tY>~h>ee;`-0)#s
z=t@+D2`7?}pY0}gnpHP^R~Zw`zO%@m>?6V2>UhNz-8N>bJgo9ImIW*h$C_(WNg%BE
zZ2fvD4dl=YJv$P^24TUP*?g%g&?*yrV<UzZnzBV-iWhT0CL{L<(}ptq@)p~8P(}xK
zg>4!hEZpE8{)C|*KpD<`_NfTlq=&a$k?P}3Jg_xnMR+wygu>tR38TJ@aCg7`x91uJ
z$Tu`TA{s&jqq&9P^BYW%+p&6)w~7yju39~tU?GCVfZl$FDi-*|D42k|34pv$_2qL#
zO0X|Gz58(n8zi@uT|KKP1W_r+QXJfs;JtN>Y35T7u#Zo%n-bXtdp$0vxJfBNs)pIZ
zg)uH*(-af!)fI&g#J-g;ONvlan(+8vF%P_4@nilFEe>_kbJM27ir{Nl==P0~05h&0
zgA<#Q5OkODrEN?RD#p3ezFg!3U$<|c;+>^|tK-;X7WSQe*jA2|a|^(ww#UQr?`1%7
z^xZ>dTP3JI@^I6vK@jSeLNmTu$pNQl(Rj=YCHQ*yr3mX|VJL|^+_5+z4+rP9gW4^L
z(0cM?2r)|pn#a7W7N01BO!r_^FQ+n8uuea=sS|@<^ZRuo{zRC0v1^2zRRyLKYif?M
zN&={-aH?9UfJvB9qqPYMI&NK2EUuOUwis1K8C6yIGN;a#ic}%RXnpTRS{X>K6!iMQ
zrw$1vp;9#o>fraF$xPl=7W^(;RICisfPAJezs`1OfT;cQ`OmN9AUyxli1T4G@Fb?Z
zpXQ*zzM+`>qcRH6^Y%J_C5ZxRsCYl;St{I!t&YBzqzK2vKBa~KqCn|BPUo|XTCmX7
zNBX>^1naR~UWfdt;QKnXDy2>vtXu93_B$#AUk!U;!Y3+JdY)ug$<~ETp4p7pdn)iW
zpdvKm4;9jaq8f&>^dXKSm=}OZpda$3&!dhCy<4A)q@EeVmsiT-Z)#Pcgh~wGYe$7o
zQ{p$wYK(wS+={CrS`DPPLo%$AD3CKkxLo88P+2<p{VcmWxGfYi(L|Erj%dt2k$uMS
zsy8YAhqXEoXo_yJs%XGa=&TQytO+di6@0M8)L|pz9^VfwRZzE{?0wN~0{g%!({5M|
zRFCb;jd)9hA1u;xQeLKT+aLS!Q&$blvKJ@!@GC$G<CTfVkES4Lu@4J0Q-#2-jb2W7
z8K{?7yga?NbDotwG?kMCBiYsYLKnp0%!H++3x^pPnS~VDWGTbYF{y@#Y(Xe@5olih
zX9}NvmTmRuh!8Is6aD1`4~SnJtFx&wh0AE>QOO=f@S*X4TwBWsZ3VTj<4>7_Ko;T~
z50QrhhjhmV&aYt6ytNCobf)l$qsP_hfh;hno#42xIEc9ut&E=BG=a{NY;VGQX$T^<
z-!MAdhJP37K9R^{0<>i=ZNB4@Kp=dY`bC(=d!992Ur#cI829tP$pK=J7m-~#=DdVU
z@2z=3;V_1@p9NmM61%{~EJJUVcLR^2dvZK20pLh^WKkiVAc%;EIQw(ZAcjH}#&_%h
z4NvY}CrR*u-TYRK{SjJZk2t<YOJl$-+(LKnEDx|A3%#u&M~9X#Jua}&Gy;2Xhii#U
z9AKgK*>U1B9YSfX1WWtfAR{SqQ}Qk|+>47JzmY(PhTmLliwiY`iLUqbr!wdvOf_gE
z?g$;S_GR;an_~bmlBc-SH?}eCu#=7$7abByHM?}FS07q=k^;1DtYUTZMPhCFwCMiG
z4{@Vi`jE=usY+=2hy98wsov73MZu$6w=N#lgA(~qIe%QIv6{EdeYPz$$lAU;|M@dr
zP<Af6C}}W)c}h!t(DbE2?zv7%?lijaW3+qe8P<crf%t<5_-WAo1YSqcLpqS$H8sfd
z@IB_{ymI`{lWm;sxoB<NYi)pl7osL_^6}>I=Nsnc+xSRD2&0{ZHVoX|<6q#^j6d@J
zXyGEVjk~P>nJ30;L1*{Hd7|id94pp;>n6R8Pd@p(_s5bZ7zkx0MDH8K$45GYYTdW-
zw%f;3slJ-9c)51!df_PUSYm&|s%;zJMLWdHG(?3fUF{n$UybATskr+)BO2t-lK7f@
zWQVia61*1^rt$J;@(jPrXpl%nc-Vt}3dGxt7aYAihxgilIND%Bi;@d}6sR4iKqb9v
zf3o{LE^}w%lg2zPs{PLU?#Cn<Vnr!SoMH<&2d7iIP#qoeIzFTEFpLaGom`u5_b%d>
zzfRdaETu<*UZ2DKS;=sAZuD#5qh)-T#Oqh$?-)>t9=hO=r2!A0oH<(@w2JG;E^2Bm
zGa@d#n7>Xs8ZdZ%-zdR(9e>bMn%3aJjMQ10Jh=+g!C$2b>Dg`K7cVI^Zg;StODs1<
zIi}Pg;KFQC{>g3pZfVD9_eeHWDHtF$p|kUk#Eka`w$Y#<ULD@&2RRVC<i>x@H&r2z
z6!1xto(?_T*zd`8oC{IQ%X@xKlHkhSyy*pNdNeW}Yq4s_gS;{bh4lMLkaSL6HNBVt
zxt_c~!jZs>z9hvBQ$DLem9fb%L5&IdnYpbt3=&Wsy=(VAOBE=-TcsJ_%#2?2B+lC$
z<VP{-+VtMvl)+rdby)2-E6ONmnEyF1fHwXxK7Svq3{A3yRvs7F(WP34f1gT)Q27mV
z%#4^a#Qj!cxR=O@^7hgXA4%VZWIq+}dHJ0P_Vj}ZzRld|I#*!CK(;6vxzS;5Qb+_i
z7#96jk{1o_{TFw%PaJ6v?Cl^V6CrJ2?yk{U0#aA&Jm@4Pg`&Q^OA_3f-#I%=$2iP~
zUT3mp()vmxMJ~~S(&t3jyg1zcB}f3#9-fV2X_7%*srU2hCy4O%jJC6~gb;G<(pJ_p
zl|zReZmQSVD1(VvW#5@8Vf4G->1R!wJh~FIuzIaW862f6^B?{YK|UU`qJ1HXXsU1f
z!rdJ|F=n{=No-aO4OOL<d>|6h*YNS*UC|`)@yeBaE-Q&n$(B!AOev#qac#4J5>>E~
z9n46ol|o5ATz{^;AR(S6?Uh_Hb@){v8hvd^8fE<BHF_GUhQxEe`Mf!$0S?)DvCX?>
z(d|0~L3=3;bo6z@)O{Z^^c$E}q~DT5IuS86w2K<3kuE)aFogp87Q1K|$K=sN)v?@-
z7i1LZd}JwXlnQ@;g}I2DD54?;kI(PjDahgUZu8H_v|zu}*P*NoCDdY9Il%mjg3Q$j
z1}1bmppE<N6CWfZ_0FMESxqX+rAUWP*6YH>$_Koxf+`4zOCgQ+RP=g};4R)K`k;Wc
z_O6jgh%2h*^B+|z;uhX=RZcVn0qssLAu(0t*Z!m7;Rgz85K3oYyI=$gMyA<0-&K)!
zZbla-KtYW!bh(U30QzrJ?28Ypq04vL4v0&T(Kr6(3~5edsQGefv+1E4a=1HU(9@)j
zs=2wpX>}XJnhKZ6rwlb@&y~1zV48#&BDRM-qjxwWH#<hQP(xqCyj1?y5K%)+u9F;x
zDQJ_**o#V3(Ncl8z!O&mG%EF{pDVx={&-QjX4*)IKijrmX-Ede9e%ONlWz(WgD<?U
zRjHsK`&%>dWeGHjTwG7=@Gg_j=#lYpWke3J)nAAbMtq(Tr*(=<0V5xM5Iw4dT)1<e
zVz&sWBVzAK`AeqIUbQ_Ix>pf#Xd)wlOKga`ouqM(Y6{oZpKjZx$)l6=GtND`X;GKw
zjS!t3zQ5kKRxAA`i+bdv#(R3^ae?Y7+7o^z5c6C93rSc89cUj@!hUz-u?mYRQ_IG1
zuzZ_#^OzLM=ci#l<=BSZPIv119$^fWd+mbdf#QfS%BQxiXbhX1b*A&6H3l||HxDOG
zMbJPChf{>>Jm$ztYcL%HFud}IQ`1}s=^pDF^vGYrtd^D{b=UyzZwOY!hV!H1%N4Bu
zrLAJ-9{!9?au}?bA6|I+n-_U-j}~E`>)4uR7_XC|5p0Z@h;s09qrdvwRX%nb*lB<H
zZ@AlTsC`g2tyaf|>P|OWuP1L{^9-sd?V}B0`8FGNyq5_rEznFyyKZ2aRo@@Ymm5HY
zFQvQCl^(ekrv|itSjSeRZ*F=_=tH;5$g^LR9e!)mBv-GmVgKe$C5(vraEOo(mW^xp
zpX`?61>QAGG-B|CNT43@eoJ>f(Xxnd98vb65nIJNxqn*3*XY7p8~=5S<A3q2nY<$#
zN-Nlf726VVE?qE8TElY|CUC+@g3D>MWlZ5eo8T~S9mv@?=#a@af;X=#Mhu@@!n(!v
zmauwlAhZ`yKlb+F;wF(aPa77o_iM*)%PVRF!{O++V@z$h;Yxgmg6<-=M<G#UBx%P>
zgOc?H^55X|Z?q2uw=7^eiR|jwx+dIB&tQ+boPyC^o8`E5V*&H5zelC>(}WqZCEonv
zI?Ot}&-QE3!cNOg9Nqp!1?C>o%$1a{SU~*ST;?kaSlCuV7uO*w6mpGE_(*=k;v*an
zetfZjt;Fu@;_RkCnObAZ^_4zs1=$2f2`^$+1`R^}t`ztad-|sJt6x~}WW}xG+(pbG
zO~cCT2O08Kw$XL_VN7*qEojVb3EOwJuQ>4p8KyqpoiAz~#iks-($Qec*!Ujx0hrT(
zF_m4Pf=tJ-6LiCuxb0Rj*%s>a;42znpdLv2T0Vhg;~&kg-(1CLbJ}GH1Pw^dzi>cQ
zX&UpGcM3DxSi>^)FB_2U)qzpkJyH4DEH)L^))4n_16w5D;oiEc27xR43ae%RV%1IC
zGJGLh*f-^$2V!^pTVf(fNi1p}d)mU|o@Pt~o!-@lS~f_~&YSe!a{eEt?aG0yPSS#j
z*FnmNDGAaIY>Cd{i&()x#Jj`K>EK~OhW%i&3YeF?VsVpN#=^qLf);`du%h$Ydg`|_
z?0po`dVh2Ull!0{^&^)N#ut7I8kj1B12O5>g|9muF1X&e`!F-ykWVcYcuIuMqE?Oc
zp$*LJ2sLODV}(dtt;635L{P}T;Ppjz8#7t^Ma7-iK|E*wm5o>>;P`p*p~4p$kj#Hr
z|MvkWxSqMZn~y;WtUoq!f0dzwj*@t%n_N8bompkRGeHs7c1QGe+@*)M;unX70(fEl
zYe%7s*iJu|ng<;rGXj)Jpxv_sKvI+sT(1?NV`Ijpb(RUTR^HNmP2-11o8GQbPX!3u
zDt}Yo%>oxF$68){2tuFR>awn=0<Z+TvGGi^!CKlE4cddkP?UHeYkXK9=zZ&6)>1hk
z?7O2&QG^Jn*7Q$l<MI$L?v%h#$_=M%=;#aD#lZ1!YRs1sd3bYbJy3?q3yCVec@>8w
zAyQZ=qWzUTq`$S@bM83-etNG~b8|>To(9+U=1+Op&FAz)!;&A)nVvPbi<Q~&ecrey
zvI@}hfJ*dd5d^`~<ey<;a-j4K?WsvpfPu1G-Gb9XK$~av(YQq(7P@a5ZObWw-})`(
zhLv3~l4EEPdS4M7%e890Pbor5rmk5!Nem)Q{Z^k|CW0IP<^5jMN}!-#>pm7Q0g)Ee
z=>Bsm@c3PhovoTOnED^cO^cNRhE6_Sr3h76>TEmo;H3)0HPhBt_en#HfoT%;x;iwZ
z)!cDRRt4SHcW9+dWZ_6$rqRO39WSIdiu`@24&sYyJqs`7;M}@(|MfaD1W_k#U5I4(
z<?XqlqOAZU<4U=Y@^^Z+xhZCMHU(HN|Houitq2G6FI^u$Lj}2Q9{Dpinm|#)8jKBz
zP+Z3TrIlY3O4AaJdgQg?iObKKlNHL)UYL|cb5#?%R2$l@iMjwk(=H?kkYHKXw9T}5
z=YH+NsG#jm&kmfg*Kt(^hey-&Wl5Tl>C1NiS)3tgOQbOx`KbYu+tm+TqMGpirAJuD
zhn?P;+#;W_PzTH4tqR!b+zsu2F{Kv)!Wh$y9Dk{U;bR(`3p+iInOvv&9BB-NkAvS>
z2<-T;Om5cj>m83VPG6q)HGve~XL80o8gNW=4~d;s4Lp-8C=wc`@OX2GNfK9w@i{@i
ztA@&uC9cQs^Vt;Qa#z<+GOGiBhaQKFt^y$SZqGi78Th3}X?bp`!nL~hCm$)w0NbY5
zo)@RhU|>q*$J1vdc)|NlYviOD2=jGF*qk#1eZsD}hvF(=IA82(xXlj%5j4kwT+M(%
zl)v-L5h8>!i02+n=73^bj{g4y%;18vXDe5PA|%^{xz>K7f#3j*KK)la9Jg+X7mbq#
zinY120qrDKSx&XNWNr!~PbSO_uge0@#Qj9a=bvx^BR)FOk2}29QSysU+Iin}AOE9x
z&EYu&THP<03G}7Kowou>$h$J;u#K<bLXqvV(pARbRBYvkCy2t`70G#7Gg@>tkHC9f
z*%)T*NYet$!Z6lLcCR8Zpy{b2Jb~E&ahh4a*K7GfkgaWmd5aN^E6?Y9NdRm;Kf&fw
z!VC9&|81sgG9%p(gM?>B80=;<sXP0Q6Yd+{b0`>KM%tI3opG}^f{Uvrp5r+zfM<Q%
z-z&p{hRg(-7>@4-fjuVQ!?)?-K$Y&Mgcu8IB&qm#T{DC|(Vl<GvbM3dEXN4-5oUD%
zT(jd!nE|-3^!e!vuVAZ+{dGdOn9)?`aJ$f$K3FRnX?{BN7jto|DfmueMowiK>wJp(
z;6i^|aVq~eR`jm5fUA)Sg%qc<8VBe>eBphb&ZcgRHm3RC<sc?hetzKBcC9YxesDIB
zHZI5HUdrq#P-H^qMfyD65p+T1qROzD-Deyubc*yA8PRgCKO1MD4s7Mw66+;@-~t_G
zCjx&mqN`0KBj?(*;qR69v+^9H_@nvjOlOA~Q5QY!wR}BoIKJ<YW3l%nzN9}InZ?S4
zp3Kyy9eSz-$6UKNYah<x_21Ipzj9zgkJkCkokg_ZD0`2yzT-b!OUL__!W$-(5ir;9
zlcEW;>4Rn;e=OqV#YRee`<RihlknwmZcVs-^srWd#R~o(z28C-9Sf=^T_J`fQ$gv1
zu>7${Yxsv313wG<S&&ljD#=oq3Vm1hd9Y7z;63w&BR7Uv5v{RZ(`pU{RBy^eQZ={n
z>efQhaBg<w8o*?HOOpbRIJtUb>S&Pac<H0R-W=%F=}SW5jbu2koO>*LmKIe%AZS0C
z;6#6(YJRNS;dn=J1+AD8JqnAio4k<8jY?Kz3Z62M!9p%LE+l{fElXVpcENcNg{Mo0
zsZaw(dbr;6HZUSxJ8z|LpLvm?(#dSu{TkpuF6Oa^!i=isUmNky642hSBNZ-88qlS)
z8RGnc1#Q-}mB(oCqg}%P$r3K91FgWTsEGY+C^I>jQhrMS=>=vzJ-ey~1qVZ`HwYYP
zk~bt?n@b3Fe=!)NiB*I8!b(}Lc~105@D+dQb77<{F;0|{RRh}1DaGkUZp4(bey<`>
z1l>RIOY&U1D%79UxiQAWi`ZHRVqWhTLvQyxpPNosg##D${+=-;psjSTJVp-*6s=8v
z^=+Uk_>P<*N?qYYxf+h5W|mUOgy&n{IZst+)Gyob-OG>Sdqe%)LZwkypg`+ZkSY|4
z#JWDP6GU4{Pl?5qGALY{o#SzqD%?&O`8hHmge2zlMv9r_P><|E8pc^w_<BsRQ#NrI
z8drR4qwgz^?tAPF*Y;L}sgL#vz0RV@aNfr=;HLs&8htx_n?)V!T0B@e^~F)_EAY7F
zu7tG4E8mv%s)KVUgOR9#B$9Tl?K$_Gi0JENY4U<Jz$BO<!Kz3KnenIpCvjE<X?^Uf
zkKrN1wNREEh7ZyxNqT%=#RdskYU@Y}e<g$A@{+^Ym<;-z{2-|Lq8jpdjvQ4erobk;
z8REw;hm2LU{B4HSk%yA!nSo*|ygi96>Y2%-mhJkZ<a7<Bll*?-cAF-Ija(QJ4pBe`
zVb$y>rOBvM-`V@HfHsWro;mm@OA*xxThhqgBBPtO`wxtq*MYFegFKJkDj_?PqnB7W
z8Tsq&(q~xI1>eGh0|8%%==s0TnXdC>H2pVz;bE*kO!QjrpF+wg?tana=Uy^uwZ8Kv
zQO*$L@TQKVX)36Tqo`#21{tN>@a2E0-wlzZP7!5{gs2Zn^FGj%k@~>N=Ywt-Sm=Lx
zx4W8zrmoK&t}xL+xbB}tJOH4vXVxTpn}m=I`~2cvHFPcI5mS|fF+8vop_^w@MHzE8
zhRt>)6c#TXuKmgwY!MoK_nm}*i$XtFOGJUe8`lc8O<=D>UH$lJ64Gk0nLW0wfJ|pK
z272$9K-sAV_N4bJs5y&9KvP%_t?QPrYwYwLop+}k>!>n1{vlX8P*)m-Mg*U#TQ&ik
z_a32lz7dfxHd`swFNQ|w1Zx%6b~vIP%Rlf)3DFKY?QYBxLJk}Z&02#d@FRKHKG;$b
zWjh?p4s9hMEu{1BeyItxno<Z_Kjaakzm>l`Cnu8VT4@U2=|?T8C#+M)<WN#hVHQ^g
zBVw=Sy761s1Vn7dk9``DK@&Pce?_9V@JD2gk%`yFkRvl3D|t*B{dFnJI>EGnAN*7}
zMCW7-pQHQuLRux!hU@(j3E4k5cf$`k;vayj0L7;8H8IrfU&BfFsRP%HpRH^N12|`W
zirw8@1Vzr2-{O@I#u(WD8N6l%SkOpnUwtiv4sd!_SEn>%tVw>S>$Ncu9_;HkJ1Bs-
z_#Sg`6!c&n{visX?naO`x-K8Bz=ufx^(z~^=*PG<Lf^H-?*<cLzv5&WUW5~dkXZLG
zEUGHr_x@``(0!Tu#`!)M;uf*;a1|ZIp3v)>o6H$NU(D(u3oCYHaivosC*T*>l}Q^q
zO)`Kq?r!Qq2Nq;Aa*noCxF1`n(h<57s1NiRALix@8PQDEy-xvFz1W%Kp8s~e(gWG)
zS06_m=+Vl$mJx4V7xvXrAkmyj5B@O}9Vh}?M7mw&bgQ}*+oK+IWALCZOpWQ>H5lH)
zQ+$Hlu;vDASjY8nak&oEld!ZsZ`bkh=IGg+oR^sN)s<(#JUXC!NP8iJc@=+LVotY-
zpToo%4u<?YqYb2&{N6t+m+&UW`DLe%l{k}*>%Z;qTA<1P@aw7C1$@Etc(RK32b`{O
zoc+`uE%1pnKV>EG53lY$o?0#2iaT{a(V(r;1g<>2IJcL7@%r)hE27a|_{)}7k^hu5
zp?pNb*!001?)T%<QP$30+@>YZoBWsxVm~RnCqriO`SojztX#ivZKpfLI8iD*)DLZS
zmzcqCI8;W3mJQ*zjZfZ6xK9B>cvMu6(lmZ)mA`Q7z$iX5!+1?boC25c4hnp@F@<-S
z|J`C@8^Z-0?}q5+kRe7LYaGL-aB@@Wp(~9Oxa1il{#PV2gartf+wIIPj?`tgJ)Xv;
zu2=27wd0j;$DfDjUYo*YPK|7jTh8Hi1u6W+mKq?@^;VLWYa0K2g0s(~>n~nr5$eEM
ztqwC+`!WQ&r}5t&bYHX2{lnWYERKr&QG*R?8Pl)+89dI(gyjW!5#Lpznt4V<4SW`y
z>)i=+c&qQv@Lz1pxMr^3WoG9cj<7gA3F(}}y9?Cu0;W~G>cy>;_EZv_xYf93`r<F{
z=Pz@7gt(3e+&o{>@m&Sv^Ss$VzM97?#-h_+Uf9I-ujj@Q6jUJlEWhUQpa1ZqULKzd
z*0=HR4^I7k6s8Pfl@XDD<QH+G?lqZjhiH+AllA$GHX<0w4!Yh<Tf*5=PGs_R(;@B~
zmAj?MM7YQwWVxoYf?wmSk)S`vfIcVI><h_If*7V3KTT#=@u!|9r#uaqP^*~ef$uwA
zc_8qh-OS)R-o(m7*{#BYN`pQ#6<<(<j$H%v>&#m?^1fO%Z^?!n7OyRzT2g>w%k__c
zDKsdE^N6K>CI@;=#v`)A6~O#JD2-zzE$ZoQO;AweM*dIjZJF2<fXN(U2WEEmtCCgW
zTj4=swtfazv*p2M|CG~{C<Zh<HE$Vpd56Qf>qG@}c{t*r^n7$@KkqKt`bi=`TD!XH
zYrG@}aRMt9CekeEcYXJA^risXqwDm<r&10wFEKl&Yq25r<i@tt4Iy-AzGQ#gRk<CH
zwJ6@a#DN6Q?mpwMEP_}yn5{-U<sf|zn{v-O7ZTX)wsA@jL#AefR}BuxfikT}<AFXN
z^gjRq0RR6Cmv=nXZxqMLp4oeEuIpZVUB1VxRLBUS2+1DFD3l_RtcXHZqEJFc#(k7j
zA}jqelBkT7y+=R)o<E**Ug!0B&gb*4KKmf-q^KwwNV(G8=^+K~bA2HK4jjm^YZ1@2
zCWZq3P#AcmNWt-+Z}e|&a-!pvK=O}}Ko+M;I^%|<;M$EP>giT))THgAeN;dSop#XI
za5*9k9~*nYrkocU(x1~!{UVKS)w7%a{UHtdlLxr&A%5g{zLG_?Miw=s6dA8p%YbHx
zZ~`rb5DI-Ce0jQ59+{qhNAd5aEO;H~6xZ+;LGtrg6<$~4kP0{TS&T*=BK_GJU9X6t
ztJuN*_HI1ld?PsKd|v^En*KJgeHBLqd5x5w3j}n<S=Ed0x+2uwyvZPHA&K(dUK&fM
zQ%1?|bp^F=l^`c;;1W%*6te2rjZJ1zL7z+U5%=qfV9s~))^#Tt6dAYUJ42z0x+<!^
zOJgdq_+0nDnZL5=eAd(C($A`>{qvLWbla*B{hLwc^A&kC)3Wx{=9(I!!kyeRm{Et&
zj;kpWv^XRY->`FkZNFapYWp^|7Lep)JGMd<ky&b#zKV=GlHv%NZ8g$?Egmaz*$zDV
zNiFsPPos{SlecgC-6O$Vc+ytpFD3LxmYtN4sD|dAYVwJ%=tBu-va!qu0^%S0ruF){
zD!R$SVws!|5E6NNV?dRNCL*lmG$K_{-_k_G{Br}y%<*2?wkM*xzU868MIxFx@$-l9
zBSZKu%=jn%1QC5@^uEk)sDvtV_HH-^8^N^O&BZ^0L{#7vr$eEufbIs2?718?hMfjV
zj>;ec+E}=~<-Q}0z|+KEF2Wdolg@b&Pb#5)n@gq7UWlXc-OYD;&y1mUR>o`guOjj~
zl44yXEr{I7ay@ai#^76B^}ymV4%v+dw0Q(_qC<MB=hBjmK~S4_qBu|<y(!3c=B8vo
za^7~76~@Lea&OkGCv;yoU%!p`eBLAnaI;g4jv0Z)k7GS2yrj{2!}~{Gy%;11>iqGc
z@-TwC)lO4^wvtE;eR!>y`3rNDxJ;=xW(X&Vmp(o*6-Q%ia(lJu8(3gh-uWm?LzvD9
z-yKd8K@Bcxmp;2w0wE++DF_*WIqyeJmIeXT*4XbHtV9EnT$7XW$_5~G^wIn!eqI!=
z7vSYLMhEF(i`xQ^07y0!Mr;k7$gnc;$NeV^FmdMQ*+Nl(g8Zvud0A{o_CH;go!5-;
zCabvry&eW!FZ?y$1v8<F7uba~TPDyZE_8Yv)`tgo&d(gyrbVLFH{<DIncxFsSQ^6_
zJ;=I8Oi_xaL{wbn!SjAhVA0couox1ER?hqvaB++58=Kd5NRbJIu4DHdp6Y^J+~$;7
z_Yzr(T{l)?fDx!eLS|Eb>VW=jg$css6#0SZuvuI%Bh0geck{{Uz;e7m36TCHyY2Qo
z?&M*F{LcY`>H*qd*}6Wjb}NHyb$cT=<2?i1Zz~wrL|QN<%ARZQ+K;h)DD+TGX8`I+
z)6N9G{d%M3unz46Hh1?6uR<sT++`Hmc^sw*^{RIVzx|uR+(fa9cOw|!$t1xU|5XFN
zG1WGv<}YAlw#l3c`3yjKyu#OVSOZ+%F%6e5E@PXk3B$){8Q@hw<N()8bqM$KH0`5a
z$DW<mPbhU{gy!Iq?-a`FVAqpWf9cmIcFmEIjbfD%a5IEDr%E+o?@borFW$kF&wLL|
zsb>PO4|NaN32Km)FcK(h`VY(8e35(UAu|w(H@|Y%sX|EZq`%l73Rq6=O8DK(0*1Pu
zrF;!l0e6w*Vy@Z&STHk;lRR(`-uN?Jko=?q_fPnW3Pe+Z27R<iyAB%^od0p$&PN4|
z&m`xJcT>Z^3N~RoW_ED3v~eKPtAKaS&zf~vTKM9r?OwUY4)^H-4*h(h3>zszttzQ>
zFgBFM-oC{F;u8l&o2``r{Q@5yMg|Bx@ja)Cp9>a3jQ?YzQie*!?`oO%7{OJSCL_;=
z8y;wznCLeWVLj}q*i!>$c#ONS)n35^F+VaL`a_BE27O2vqG5%LPMK?-l6=tn=H#Q(
zBqF%$YUkO_9E3*6>af?1{2<=sD3!rTgbQ+AbWhgVpglfBnleZb^e&kmz1B_uuHA;C
zK`a~~b-M1Sq?s^0xWH6Xc9Q_)+LqUsH928m^1SH0i74!-F$R&{2r%q+WCkC`1r21{
zUvAZ6Ak)XHreRNj&!l^O-QC=9i#wKhXh0ki)%LWy&J#eBIqGN_i5Es$z*dV!5|~V5
zd(yHAfc@69U~cCF{qr|N91clAl~s||uUP`vvl$qOdkBDw`RJBrwlu`6j9+e0CW7Wu
ziL4)@LLk(5@>1EV3{*COHp6uy@Lem+pj;6KJt01Yd?z_DQoJ5_?l%#LqWOZ+<D!sJ
zBGO6wULI!nn)P~pm4Wl@-tPNFF>p#98_HJ4!F2SF4~{_v=0;6?jdsPMM4d9VDMt|m
z#u%BzUa3HqH@`(Qn<O+0rnLGj<6+j~tK*++RS>SZGL$bb1&)*^nL4Tj2<N!BqL!=%
z^c#<!6&g#!V6=>tnj8_%a&(Ke7OH~?i#M^_Sq5q<uTp2^6T$F9GC{px131Jsy>|j+
zVa_h!Bz}_!);}e?=Y+JN*F@*p;zc>w;1Tf|BPfGi9*y#oC~c@`v57e6B@a>eb{>wB
zl;LUSoMil89bmV-5ck?h0d6UlrZoyGLnJP@d)1Q!vTXHBNB0!qq<m%s?mZDq8PrD?
z#`T~v?(+4}bR1miYg(N)+Sk)29qzOR2FNk~hRqfZs->R(<QE`-ui8QV6E*-VgJ<1$
ziHcwpP_vn0iHC1wfh7DQK=J1X%*!f@u;X$(H%}7>N+aef84(7MgrklK-oruTQ^&Iu
z<8q)lyw_bfV*pZr1qUA9!NJS2*T2*E_wk*B!eB+;5bzh15+AQ9fC-c2>83Z5uzaPv
znmXJNUcPHk36oZUGV8w$jd*c5l-H5=FT)T%dDwGh;pE|Ig4h#zD`AMY-b^B88NvhZ
zzd7wJa$u2Nr%{*62X)`&*mz?MK_%@oOVof2oX!y?J|l9$^|g4O0$W2^YV{~fij{_C
zBLS;;BQ{t{xoCfs&k#J-BfB5UNr8dNL~woy16cZT$QO4RfN`bjW2(0jFnel3(%=;p
zluO2SGlm*~!v$k%m2=`iWcu<cyK)!f^;zCX=QRMM6%Us$Ok(i7@=vbi<5i4vu`g`A
z1|X5{il=piFf4DtxW|LPn3Ui~vcz!!86oasv>^az+P4^I#(!YdL&wt<Ix%?pW->A@
zhY!+Pjs|}T7{S6QNshc*`tWe>yK#jF52W$cKN5)R!<dZS@9yCAp<43aX1D_v93nm}
z?ab`JRJEkCHC*+8x>jUXAe;m4_g#$6QAe27c(-xIeG>4K!#kg}u|YUR?bL_37Hqz9
z!sPcCT^Q^<vpwR?3g-%KjfeExu(pP{Elfxkj`k=nus>vior6i|=K4CYBC_kqJ9izJ
zI<RMDhhu;!A=d{P?>}OORf6ep)!H!gtc5*bhZf4a2j=3;K4CLR|M*!NZD>y+)V6Za
zfalC2&%pQ)23eA8n6nnh_){xf^P+;L+e*^$+uyLm4IO_s8#Q4igoSE#n-X;L&ZJJ0
zCb6nEiN9Wgnh@M5bvF171ssmIpE54`h51_1UiOaBfXh)dbOP7^VN1;Sg6w2wu`JsI
zeqVm8gXe{}#s*(@vERaMb+m8(VD5h6?RQS8!$Eed?@iZsFrKK)%^R%?SmiR2>uR?e
zG+|7h4=-<HTG=IusB{Tav0|x;HCBTvv1@amo42q*>O{(#{1xm<c3N!`Sru$OQjAw%
z3;Xj}uC%Ib4HIb>Wr){T1&UEiJ6EbL>{3fG|I0TU*yi0A?&sQ6;IohATO*1s%&JBA
zr~B3xHriL>Dt=f6NY?s&k!o95$jWTpJF{J^_|e#->V9Qdp;(qK&fCHk`bqfUrhnKQ
zrxqN)t1=`}SKIDrZ)5N9tm>6=ln{!GxNpBq1cz;R2&Lb_zWJ}1F5Wx<|NMV{ibx>B
zyL8s^0{UI-i_|@w7bP_u>uAWoB}s((MJOxN*~6Ta@R^F4G@x~1X~Fb50o;w*ADqbl
zhn>x$aKCwo4gy(UXtnI;@D~L^Ih#2YP#c_Zi9(10KKsYs>flm>pYEhco$HjKPr32%
z1P>ErIjf&&_r}9D<TqY&;{a5av`SpiVF817Q(t1IBCyU+ylyI`0@h`d<5@`uLH~=t
zd!ec#@DOJn!!$K~m*{fNq-TdXfwxC`N^u}Bs}VyoqXo&Pw&e5YIN<q|f#*G094Iy%
zC2sc6!J^A&AHoDDIKC+uX0BBL@j9`K6p;)-_NnFejOGUMNjGU<a|M`WnSac8f(h`O
z(W+T`ys)-4@mh039(FW|6POhX7~fdQGm+qj3I$@9W{o^-U8Sphc<mruusF8zLrD<w
z-Y8zb5hD+^X3ihGm)Kw?edc+yhcG-BP-w{UkcVRsp??_TfXwwC-uLfB!5F)kXn$57
zyjUg|!^=3qGhHC+ouW8o`)F=+T$YF23fk9<L~c-ccK%UVk_6bbnpzj^_f=!`YfSi$
z2QHqI;P<4G0=cvoGfr#@usRgTdbEHKDBoOeo=%kpgYpqg!d(Smwweq#za;=4s~n@l
zRAu4o1rC?%W;p0itt#TZCj<}s^p0GbmV>x+VrO;t_gppfb1?e72n3qXKG-W)095#r
zlyVXeY6L%A^KCJ(smb*43s;1$K(ft$FO}f<V`VF^4si&P{rg+rR0;n04u%S=5@Cw}
zZsHoVBz&5(#71a{5Jbu6B(m>gKbm$9zBnxfp7-xjIgAk@xzs%|)mjCP+bZ2&te1wb
z5${e|lqdr()~WJtp(-r-pOPNnlm!v-&Fj`yDnPH^xHZA24h2h`$i!C;qL#h+`A1b?
zr|qzxUcCl%xw$E>H_F3lE@$~kEmas0>6ADat_8W2Nf!h5{pHuJm<;}mDs*_<2&J>p
zfxTiMg<~9wa5$M=Io?ziwqz0?tpEuIpT4LnX23&K-K<gOv<g&cU7nm()`z=VbOous
zcqn0Pi)J@ef%#*l&QnYP8EYx;zd9>H>ETqxlKq^QV>py5weOD)&%IW7{a6Y1%t^AI
z5=1!HN{&q2=aCbPlTUM>DuI|lta(KM9)=o(d|HDIq5q)9#1$_kFqU}l7G|gbHS-ZO
zKPins=<Qfx)-WFC<$}Z+zRG~}&tnRj-bS#<@?%Dg1`paV$`3}kN<y=r37zQ^BlzX{
zE<JS~2a)`GmhIm~fo(|W1;uM4Ak_u8A1YD+<MfG9h7<fyz+k20T5kl=gDb{mvimx<
zJ`(1Qal+MpE4%4iM({BBW7AZkEO6)qUy{#Zf^T##EdNZ5p!7<{BbWcAfoj+yTuJBv
zs5UOXcl>P#R9%x=v%FG(v?q6E1Xr*vib3_5eg9obSL3%oDFNxNx9r(eN3hiV>*vq1
z7=l|^q^C@d7!VJw+KBP?klQ0ie3kAPKq2X{LjJHY<Y_wQM)^;Z|13Bx>hTyr7h}xH
z#D@Y<QNWQ_8?{8P|8DIfa1Y=ValxD>mltl{IeFWTcAd;F?Xa9748Zr^O~9>#3nJ=(
zx>96|JX(HE=ED&T?nL>1t(4(_pz3d7wyZm3x3#9xyJz&l{H9+#d*ngzm=vj2=iViU
zes6wxGD;6fjLIj)_?RHyFITMDdzZYD+<U;Lm;^Udd~qHkbl_5==RU2sOWw`=(Gt_A
z3w#0XEqe)65NN~g(e+}7%oZggnn$M#Wx`pD12z<3mT|1ba%r1v_=R1^#6$;vn3h%3
zE^J|n@TrD}Wt%*?cQ%bFQ5&2Pt@))dt608a2j>}qEpkmD#(HH?3wk!}lQ?Y_G1}FL
zufOCs$thUP2NhW@@ZFAov{yQdUC&-je|~6#JX#j@t1Vg+9x$23mEW1f)V}nbZi!qc
zvkpiY^^Iu2wZ?XXL;1rP)yHD_f}S<<P*xr#o4y9v$2HGa()D1C(E={4CTnCG4QDCM
z5_KS5F0`ahufyi@KJXnMUnQHd9eGF3t`5Y{1d^%qV{%PvYC~G_DtVGHtY{IV23_T~
z$~(9YvU=SE`xB|FWKqBR+L2XNI6Y3^bqe~)jWOo(*GgB(8n5Km<NQ^j??z3idG{Cc
zEM?5^-kDW$%=U|Uh2JV5*cle&FgixIpkeguvRfnny2)!*vCn0ZW3;jSCKKe-Cw{ll
zFRhW!Z)#I7%qzoy%b~c$jUQyHnI}lMah=Q=RNV3{Oc`$6{j?sNF+~;_m*TN`x<Q7E
z0iEaf`HMDO{iU$fEcsErEKgGZCOMMx>-^<(BFs8$i55JcBNHmG8%D@(laB<o2eL>L
z!Br7DYE0+JLsZ<S_@C{NkFajKDufasNN?*ltSykOZ(Ys(>a#~)@Hd+m-v9q)W&gBi
zZI{ST9iN{&MWjIX>s3Xo6L^>&c6p!Qu}n_vT_z?TrbO2UzsNO7;(@&^<!kP-Rq`LF
z!t|?G51=n=C%LctC_?#&fwbt{8hN&dyY1F66&k-Cl<5Bw2LV$(+aZrP$eK(C&=Ch3
zq&s-Yppp#->BNGwObJ`$BJMRp#Xnj!pSpSAs=orvQMB1#PT3(pK7XcXyO$n~y+2r}
z`$-;@#`2Tyw(XI}`voFKdKppm!KH*_hVqcn(^#&ZPJzm$`7F$+SkRpdO-#Cta&Xto
zdZB5I68TBL%X#Q~5b0E(I9H`D2g0c$d@4t%5DnkFTOU0;vQ6gx5ZNvZPL|5Pm7k~)
zuatHBlgk{4@6jRO2d8AA^b-BZg;-kDzU{!C!p?=NKW4NZ*_8pubzjB<PV`99w6g$I
zK&!vNvYQ*ZJl|qou9N|`1C9AiXBbgP!=Cogb6!-_?Gx_cF9T1wj`ByOF{42K-f4kX
z{OF}^m;W7*0WP1&GiTRX5mTJ2?G}X)!V%Jvgk)vFNh2oWS|=O&Gxzj4F-Qc}1U;|)
zAteLB+WB&)G&xWq<%{67L^1SN>HMEFdNL5?=y%SwofCyMcIMcwizDj;q3U--WI*Po
z^{J{0+~}wFJG|EwNmL=0MWxas1Dk(vd76iKQP`Q#V=pD7kyDPn|1B$7=#VMoE&_hk
zq4<8?b6f@qhf^?DQp-Uy^@&G#S3#5+tsEFxCx_fDm3+<T<bco>!yEBf7_I2^7TqsY
zK>5n8C9V6uzfqRESi~%bVsmhd`MHYdK%e7$eFP4CbPr|RwG&5gz~4;2KnYD7xPRd!
z;Nj`>93iP%33RGhK=<egB66VqZ{egC0jh+G?@WnGAqrRc9&l6{<wuAV(0n99p2bxQ
zhb(E-ZM5l@t)YVE3L58w2r6K6$xb|vTNaJ%Je@LNP~F#sj)iTTD#U)QZ#k7Ahi2~!
zxZY||MfE?{H)F1;!;w#Yy=6=aNR7RtrC3W1F@%^ba0F<=>((L(o?skGn_BsMElLd?
z^++`yx}ps)Hi9Zfn-$Sj@2=W~%W7z2YQ<;wu`bkK&^mW`9FKP2{UCi%P($&F)}cFN
zdSKlsJZ0Ofgh<_oZ+OM3A|id;QaUXF+21GXdJF;ayy-If7O#SQ%dZ@^V>192wOFIq
zGX#XQ*E1N_Rz{D@VuDK#7{bO(%jpIRB1+=+n|^YHfH-E3$%uS11X&5ATB&vdBGCGZ
zFIC}CRA!GIca#x)3bGV5R3;$uuacEhy|QSNRHYKJVFaNe8MnobDWOTG(0TQKNmTl{
zDc``@7@&u}v{Mj|qSKffhsmO7R4s4tlB+Q^(^;4~KEa`H72BspNPLK)BZKj~wJ{X!
zo{iz5RzSQXXk@~Q9nmTtJ*_Bi3~3o6TJ9Qhs3$vzp4W~R@tiK=)9N*Xwmq9K{pK?0
zQl7^7yT1E(K0nosc-{zpSTo<pPD!B*A<J?5^PkC0L+&ZR<_*D!NpwTqT>=#}MJnCv
z|BmHSXiYi#8NyXhJH1<>Vu&@U@lvAe3g(q2p&0wq0Q?qyx1CiHMvTnPd_=ijjI_9$
zui<0>e`+-q{T}ioeZ6PV#9m5B`Dwp^eF8A=%g=s)lm``MQgr|2p@t;UDCKwyfZ){w
z12cF|^iY1i@^TgpTv=AaUwnYUQ_4d5tmABGO;pA0N+d1Re!YEQqf{SuT%_5@Pcoqy
zjm~(p-?Tuv+!e>(tOv~85{%>|TIA^%eXEp;4m?ZJr)!5v@M!+#7`xU1q-SoM!8=Y1
zoT8a~SE)!4OE+;n{oxK-S6#v6*j-w1<3B$AQ(YHEJBs7g_kAc2arLxl(gM9VeHa#`
z19e6WK^xtF$(94z?1%elAUoOf$*)>%z|(dsVGk$CrkQ-SuL5bnLEzvu5`{LHpV?sg
zacY2U%R!xSQ;-HeZiX>dS!sbKsE+t|Ws?U5o6+VMYGCJ9Q)nyK1oyW-4+1}QVKI`~
z@!u+`;pXh99VL?{sNtUkD71`XC23;2oq5ziTl9>LGf)GZOGnM*M}A;9A4xXXa%yOF
z&@C++R)+-IOskdlS?p1=YwZ2~_kX8v^;|Pkhr*MYA(Da%nB{Ax-VGTVxK?j~4<M_-
zQ|p9hjm1k?e<mUL`TqWQf^Y{8X{&+i%vsG4x>YQ^cTlYlM+={dUr79|SB3Yes_BX4
zI#%S572E%yh0dOTI4fOM@KNWDoV~e;&278%TD_tJ8^_P|-mg_)npMl0rEwb*<eGGz
z>YxXo2VAe!Emh!&#hFhhW_B^lg0O`1%M9=&?q@;kcV(D%=?`jTqX4O7>#xp7m>|db
zZ4z&|GQ>TM?Kq=G3G~Y48@D={;V;khTW3yX(C%O<;&VFyi1%X4W;iP(T}hd0tRaH?
zz-|;2P(k)v!`KKM8_ZLui@G`xfgyBTPk5dhzOH76#j3JHbnnXOU1}l>@~#d1vZ4h#
zC!aF9lN@ktB-_i`hXAu_FP?w=NCy`*TPtp5a6<7ZUpwL9eIJjA8lXAH07dCkN;L~y
z`+Qea<92eNfA398v<Wi7$7hFm)O>lsV`gah<aaz!(q8$dyUYv>T)+Ny)APZbsYD)|
zNIV!0Box=rv%<l<yiKHc{6J-1$G9$s2Ro`8WKtp<ls7B+%T@@2>C{q{_>3Yjlo%n`
zYIb1lCoRy|2}3@P?-4aw5w3h1{_|sz1NI2^;T%(<P*~vYC0nToK{o;&PMC2)j+yuT
z0Wop#ir!ues8a-99@9$R7H-gMAnROrkpRU<*T2b)DFW^IlZoh~ybxO+edSrLBuph?
z#nk)rEbv~nPF>@Jwq4bpJV9w_JLXj=l#Pc^D{0<)tpcFhm6=(7M+ST%*xhGTl;B~*
zD-)U$A;|aaBbp1y!C)L`nDVX?EbiUtGA<K=BgyxY$I9hFLgtgp?`;A&nfzesbQ6Pf
z9nK18jc|}?XyiwCp9srS+isp$#UY{d_ifu@MOcu(_dw288KjC@Yt73f;AM?%bM$#7
zcsmr??yjr?$4sA#hzv;rSNE-Zy^{o3C|R8$5mg~b6$nKKr9s^1&TaJqBFHSSJD#yp
zgOXoAImm}(;P0rIpqrL5{I}`7V3VZ|?+&j&I~%#r$+>?SnQD}QEs#_wzpDX>K9p0j
zrE>6SuPW#gy$TfH_@yLpRSOCReD3MKl7}7<rd{0r9Ci4*+cp9^;53$=J=LxN9tW=l
zdB~{1$e7>i$ZK8j3|;vWRf>Z>*9F->6UuP>!Trs`U_Ic{xwtd8A1Xy_K6}4*QwGZm
zr=lkWF!0;re{g?J5va>}Z@exeLXoJ@;G`XZN<ysXU%<nlYo`XkHvtC1EI-I_?B8K0
z67#6TKA&3aC*VZz`?>JMmQ3A#y+!%>DK$J0JXTj4uPOkA9J~HoeM7j+)E4-nM-k4&
zEKYblmId<+3J2>lLwND$>&s_&MVN5Xp1W8r1x3o96P*kDeCMY5$;%1{>_?WzlIq0a
zhVilWbzUP#BlR=z7%M=(pmyzSt}wh;&!DjsHQMLGm4X;XdGL8XP*X0#2Zah_4W$f5
zFr9itH14S^ykw3TqUYoUFCbNP4)6C}n>6&-mI0pdD1Cw$3#ik-(Pzvu1e08qw2)dU
z*v>iw#zr(i*_J%`$<PpVS(z7%<s{+JdxPv-^1Ik?WD(~&VE`eY>lMm##UcI~>kDn(
zB`kibx&C5=0aQL8-8#i51`A7RZhn>%n8D}pW@9D;==H3?R~QI`)7l*{CADGYjLl9S
z_xHKp$S~$phyd^n5<g04z9+xEu>9;lIRO5qKXKQ3dBK#M_I@DsC|N-#K1d-D13k8t
z`b~Ro&<LJu?lPSum+6lmI+m^v0@{D7tJyf=b6NZE{9C`su}X=V0gZaF#d`C4$p#zb
z4re}%P@g6{d<`FQ`$Yn6u3ZrsaaPFv@J&B1cba^Q=H8`reiE3|k80j|$_V;wM7$*P
zH2Hr30096043}ph)eRKJ?d{q-dtd9i_WU2KA*qz2L?|mFDkBXlL}sNyAxTP!US$4H
zLsLsgl4NE__I!PPKAh*A59d6;vzu{)h4c<H2;Y8t{mU!tV5zU5cl<>^Sw5`kG?QTp
z&Er+ALtj`RDncZ|W2Topa5QH3WSa?`xRJdheIFAHt+tFl`PfYc2v>NuD49UWXohw#
zodJHBn7=q1)J0ykh+}p;ZVdUAQz>m%mx#Bi(Hm;oevq@xd~~Z1M!>3fv>?K6o?s{{
zx-?(gN)Bz=HEX4A1e%Q(<y5?92=dJz&x-snq!`1QNZCX~xL<Y2<WJu}BKz?@rZjj<
z-cjxx&lxuW1O5i?&=(WL`U_2UT1)jLv)qT@DXs><6ki`5(mPJP>Z(8EY<Q1!c)>eY
z`&u7VE;HSjZyF&!-_%(;;CYR(k%-M$HPMICe!}Ih^$>9-<Q(JK+m(c}))O1rV?8+I
z<GR;E`46E`#y+*W@g+g(9NeHu)dLm*tq_UB{Y2+7TTtDpM&g6e07G*j9je@_b;Sky
z2)k|W|9qf{D0(mw&!tX>b@wvn&aw9r`%MVHUplQs``F0(@`t(*Zx~U{xW0$@PiBCz
zTeO{E|D5}v#y}TJzTZ;}e$`EMC=2XWUHwUvQwIOAJ)?n4iA8^NY&YTjG_?K5d>6q{
zR`(`mD-A-%bC&FncN3I$Arse?ZbEWSUqbh}4%`&G>(`szO<aGt_suJzKBCQesQk#V
zHZ(GIe#-jSO(d~yJMT*j5HpQ3NAe}Lp~G#5fptU=p|L~UKstVqnEP5NQMgqLXak;e
z!RoyPrTF@FwuxaP&g_Zj{zOf9+M1~q!PZCc%<YO#JUd2YIO+>lywd<RPc2t>zJ8*{
zu&%1?_Fn>7U+&D{*MOx`rwbo#2Z((*b)`dQlHfhCBGR*$3U{px-iY1%LkRxM1HS5i
z#QCw~XKxg%0~bZBUCnHW(Bv83=N2(dc-O=il`yG8aPUskRE81az`3CP%I>qo__ZWM
zS$8#<782YLu{cW9q1%v3$UISwsR1MPs!+1fwV_??FEQhPVCvkHMS^pWmAQhlD##s@
zztOpEf{1PQE%~OkLb&vI)HSE6fUO-{{=Ns3#BW(@LUt$v=str_3QQ_M`2J1WNSz}7
zI=UZI|H}y0P3&66k;>5jSE+3B^E46T=1^&Pi5ZBT593>Bl;B}#h=_RpEYV!p&|UAr
z3aEZ6qcTzn%;@Dwy?5q`E4-oxl6%;}GpYMV6SESuvJ=-A+ZTzKe!)(x@toj%>llmd
z6-AJ)c|xACUm=clHER|QbHl>QuMAUdMOf)=Vn~Z-0Lg}xlUI@{@NK)K(cmWq@X)v`
zlQhE!pBoOx9;)JphBFP7>rN;D?Nm-sb|y0@{qQlE*d_?3+!{^GGzIV*&gMO}pA~$Q
z`PCZvh2i3kvplnt@_<>fv1TspaDt`6GHXc$wnt1HdG=f${!}hC>&9|I=2mzkCoT@N
zJ(&Svx8>o!)c#qX9&Y%&dw&bfR}vmNhBT#LmWQYZfyA@Z6bPQHZps{82VQo+oD{R=
z;oFuIPsm67P$HC-I{ru&_WB8bXsDHkyD}RSK7%0ix@3x)?v{s)NOy;Z1$hXe6y-L|
z3Bkp<+Mh173Ltc+B1CVm0;J|>eYW~80@Zw7+b%y<0;zPjsO267AnFaaRriX)=m8(=
zfg39D;hqljN|qu-+;8A?l$HeUan*Xmn`&@zI(dvWNeLDTHLs<fTL<P3JZ;BnsqjQx
zP`<TF8C+l7IYUUvf-?OhTf(#^luqPpGtyPz_0T1=sK0Vxx`k@R3_5UlS8Zz1vKnNh
zjM}yND*(lp|AFdT8thZ7OQEQ0K+}J%l(JbxxYekW=Qgej#{b!Mw^eGvk(1@VrJ2gG
ze%`>Sic=3NMyUlnZZt?yvKSb&QiX#hKOU>|>O<Y;$oCPVblA_^_$qT!4bl#;(>ph!
z4~?o}&BwX*p=mYc@=y*H=B5~X$F3Q`{-v9u!p4ShJwc~|fzX7TtRJ0Am<&NB`RSzT
z6=R@f;X~#ZS};9u$2nBe5WapE8CVcCgO~C8sn?`+fV(3kkL9ZY9Q)4k8Hz1n<IL6z
zA7yE<hp{`sNznkF)W$I6$^s-k<J=*cOaqP+S!He<`ry#RcWmEYD~O9%spa@g11CQ*
z$I`g9z9%oriA7t(l}tBnzaAQ_CQzu;_i5nHd1ZRrF&h|o!&W2qk_LQ71Ae#)YJvAk
z@y;*iwxF!@pGD{q8Ym5)ymj`N8eH*84f_4w7JAsWPW86yK$D5PrB0<H3|-oy!7gV9
zLd%UUlt^tD%BmhCq+}qz+Vd5knH{Vg&)~FvrwI@+BVV{x1QZg@N{=Ym0mHupEAdV$
z$k>l~Yu)97X6M*TMxD0MtM*GZyg?1R%It%mJIoVwtqn(O!)+m}YOcjFT?ORsS$~d~
zuOd!G`l+3ovw=Yl_pR*Pm7t}gG}g3#f>eBAVQ1iP0~NpTwcQs~fIVUR^*Kryuvnct
z(e8^iOi64TrM!@Z8(Jr}Fyyk~i-!x(V+^ffrC(o&BUuVwxJnx}uyW&P4&z0gn^vIq
z;?<0Kni#yEHfZ>+KtWy)i(o?zD|l?1eb})@2+leLXk<z8qsTKA0k=qiQ!%BY@}B$<
z{ao21sh%G*XDgQ^dI)&qpO_+ehzn$<9K!z-62Nz=4hi&bOL&+5&80V=1=Lm*hD&Jz
z`1I$NxTbLn@c$Rb-|}gN(B1wy&`(tWtLK-0IB;8loTIVpQIBb2n{e1!4>kd$3s>5e
z>6t^s9dEXjH-p4*AzKUWJ3k(zdEHy^HG^YXjJzzWEkypAF5#tn{CH$<`;=^<DIEC4
z;_c%0l(e^Hm2ZjW$2|FT7wx|$(0}uK2Ww0xX)|Z0q`GHKH;CzTur>j&2kmK9hC}3q
z28EAYcKld0l&||N+Zb-2f9J=|Gf5t=aY{=CepJ5r^TYUx5gdOT|K28UhJ5B+^?J^c
zAL~+*NA~y`fwzmnp|9BsWUiW;(%&Qe*mU@~Qf`|exG2AB*yy=JK4<T!dUT&3qXKdG
z*j7Uzx1`n2OfaA@Yq6Nj0zdL6?A9!5G=TE`RK@=5Oz4FduTJh4z?>gyRH<zSuqV&;
zvWE@}R{Q^&B!3B@(}VCf^1D8qKUtUa>?tcoZjznl2p7bTs|!Wh{`x?8xO5Gev7@o=
zd!EgzLipRYrsMUh9tb!}5k~bKnECv*B-?}#PH#;x_siCUeYN+E?%Q%<*if^^vu0sz
zZwcB_PUwMmB41+1S8nvUoh`xhRRlLLwlB{P(xEv-sa+(57i;Lx_MaLN#i>W1b|q!e
zA-F8)gOfBL-Vptu@I+o5Gel;`e(t10YtCM|yTSYzQ1!yXI!prFf(asQ?fx)cEfBAF
z6TqO?DRvdVCGh~Y(Wb9U7qW`H=2LeIqS8?p!P7zOu)64sO8<Yla8mMBUY4g29;U>_
zbcxC!cgpTIt4q2N0s_56v@kx+9GLC+DU1H!p9lSl)&-}q?FJS1L{Nos{Z-!Ia;RId
z#QZ!|7tVDla`OBU#dFm0!`{E;QPxebhvT>|G<j>JOPGn{9ihf$gK-6%P474{7OxBU
zvO{kiyDfqC#yQ}_sf5pWynESDqzmGIPHyp$kwSIfnG_doW$d}R@8ERD8jo3d7Jq!S
z4*7ND#@hF)U=5r3%D4g@;<!q_i0_a=GU}oWSE?!&wF`Y#J4uJtzwy^7ta5nkYI3^q
zOEo-Ld3J$$ln!5wsnyJba_F@|x~F+Y9kmsA<~$421CevmtkTW$STN?rxmR8TWvv?n
zy#@6_I8>SE`b!0r8_A7vu+YTZucaq0zFp&0S7&LXr;3=?sI<w%MhjI~*NeMdH-HWC
z3i(>aO6X(7dF>}v8%qLH80}&Vfob8?8ReVGxbtK5oa?YQ{#&B;^qe+=f8{p!%;Qxs
zPlK)h!U-LWy#0dyJ;NBjh4)(t`l#ZUS4jy`O*&ZW>GbbGg$bPGW<AuYuZG<hug$Cs
z=wMS)TzgHwDO597Ph^g%q20kd?XKlIC=t{ZwMp6>TJ!R?<x|vgjqtg~40O<U*l+3j
z4h!hbC<#xcP;sk2^Y`Dr+F0nsZD$f|319AN-}gC0#S~2o>zfW**r&l~=bA^rNxv57
z{#+{l2;UdQJ*a{68Rc{NJJ<51?`^t6F%|10Wb%^jsCY^~mKyOEU}I$F5bs4Q#(KED
z&J0q+nA&fp8k$yM&yad-fuLfQfIjE!VHMQn9Oa9RvVvO$HH-Fd)zM4lOX#4B5^f28
zeOTd%6^JKo62DAU$9PJZ9J84McH4h)ztds`Do)!Ia(&fs<w19iijo{^eM@UQ-)#kH
zTcm}I&Z}Y>>sd}yn|1hD-(@H74=b2>XZpM;K?TeB$<F3zalB#fkt_Yo3Pu{6^qeD<
zF`aed&<|D-ta|00!gO`bcktoWYF8z+Qr!`nJSc#9!MCC;Jgh*QpO)Q1S44k?Eu15J
zDd@|><F<R<TAj?0Tro}seATVnysn57O_DTtYCi)sFVA@TuI)*G@=TpZ1uHIcZP=B2
z3Lsrpv6ttJESB0Q)y+jPVWIWX<w;cl>G<p<j_uN@EYw*o_Ii~p4!F{KFPng$FBRh=
z&7|;VyI!Hw`$h8Q&@FDGeoNpEb%-KuB=9N+p9gfzk!KkEJRWIVLg|!g#&Vz-a-@a)
z%lbA$KDi+mSsHEu7Ssz;mQ^BX?^#e>o;^**ik@(ZdTtJf8C2D8s0-tP<3_fJd8f&)
z9mRE{eC9x{o0jvc7sSDK*ShzVX_9|~yzayOW)Ma>G;13!fRab#c!>+s<bYx5H<fZz
z@D)?MadZbiRwzAhDDj&in>oq)+q|am_;Z3oay|vUUfH2X_AHsK=vuTTzyu;B53lC^
z=0TQUc{=5y^W@Bzs${G8#_+tD?+}YSHww*mE6+48kltZK(idsQ!1j@&@{kA@Ufv&a
zd%0qX)QkQ4Snq}rh^`iGNo3)~-qCNZ;~!T@ff)WiQw}3IBHpxLO^pMG>$a9hBrsrK
z@#yCKC`0(Tk2AygBs=1WJ$GmwBQhywdIV1xfCl7b4luA|=0B6a!fed=Y<uWpexLz7
z+M9N_@G%?K$@JD$da+<%$fej#Ykc=-Smda2A{)NC?bm17%!<}ML9Kxy`p{-Fy|Xxp
z4GoyOcsSkIQ9o>>vD~~KTyJHi9eTosoBr4sb}n+@Rrj0f(Q$gPYi84Zy*1yuh2(R;
z%enBmKl9#PaXr{Rr7<UYgdOdt1r*O;<iYOiAItwMp~LSG-@GJN4%GO!r{Q!g1*NX3
zCk}0<!|82*Lu~3e@NRn0WzQ}A*y33<cyd%1puenq+ci#{d;TiYBv1f9aI+dzUe<-H
zdR%>!t6T`fAG3pU1ktC}t9!&s7wFAhSqjzM7`8QRyzGw<+BU8~bAEb_BU#i2jxzD$
z@k;C2SDQreqyMJa`4SpjFI6hkIzqwpI*AG2m!b&LQ=DyUT-ae~eXy08AN3T~TJ86U
zqnOhwZ-dzyU#j;rJ?r5|C#k$E6kbWZ<00RChC%~j-&-4XzYE|r^;o?|rxa!`j5>d5
z(E&$gcP&bvAjTQw*8ch^jg?(9)l>O8P@8;v*_uNbog2)m1iNIhXijh8;RPMw)H=DX
z+(ra5AH}9gamwS*jTYXCYx?n`;27g;qBvM#Gnz(M!0SiT_Z+;d1I9CVwNJ5$V*-Dn
z#^@nMbjf;u#;->QimT%cnNuY&P;~n;?LQ@CcH7X&tU!Yk_db-*=}KYwazaQIrwUq}
zN~>5rxTZ^P&rus+hhK#!PD=%-BH?t@IhmwEjlk2&mIfJA-#NCh^hFK1#BOFhq3Hro
zh=1bdJ#tv{$7^K7oQnIEJD2v==z`o$iSDaz^7!t`#SzN_4g7lBFlwhK9mMy&ThjGY
zKuUa$>lm{ZzGD*?7gW-N!y32v2ci^_Wo((6woMx!wkF=mWYGsSj{5IMx)MH;5Ph;Y
zMh82|t2H{z2EfW$yF0o_8M!&cI*aURXz;H&!%Wr?zR17lKUSxLRi#r89ZG3P-xfbT
zxXTEbKD_b&?~N*MElVE@U#4N$=&k^!LSrcX@o7G~K@G?0LzbpWx@hJUIrEgu6f(CQ
zRJrg_9Si8I7p&!UaXEN@Y4!;-=rmGLw27i(p43jN_b3hH$HXHaOqfGs!YH4BvIdsb
ziG+(?prKrVX7MF&OE9XB<18!GK;`on3nu$?P_CBQN%b`Wk&cZq1xp$jpqfyxxJMiB
z$=D1nCjhXOCd_8YY9ed6dQ5M)CQ`(UehEoifzXAsoOgLO@g_yck$(#nAO4*vIGbe!
zti!71O${2D`M_h!byyX*&!l{vX0V15y~-D}8#PesZyfimk1`$_*IaejYz<VIpRd1P
zry^6X=MY<q0y?UNM8Al%2A^r~`k7jF3=W#8`nyREqf3=O^<1=u-8@RN#!uBSmMgrb
zzeEZLX4nip;;ccU=XPFlhAJLW_c*7vP7JL%eD}TgvxWq|QQMO{R8YQKuZCk>5S<Rb
zIk3aX8u%SP@RTzt<Hy}YqoY9-tfQJm`%PQHGhUyU_X-tpbc5*Ij%jubi!5F_an}lB
z)idj?Hz}Yjhl)5uI1?&dv(S6HWlcXD*>QhV4tpD*;?CzqQX%Ep0&NUnblU>!Mtxb7
zZDqUlFLa8Wz5YB_B@rO<=#<=I!8&v~x^qLN^C<bcBAEZaB0%oN>;$TjBvRa({Dv}m
z$%SKsYS|G4NE9Y!y&Dn3C!epzc}I1S<}L%_=kHs>(XhE;{dXcL7=;whv9DylWytxr
zofa^h-B-5nix3{r=e${W=L319BToB<s0DmZ-&oJXEQpDrF^;`LZ^`Ap@1CTSIfzDk
zKN0cZ$1OwO&Q=P)CCmMkca~l<1MM4ak0jpmVvf*J*^^a`q;Tiv!;ik3LQ2|!y`zfU
zxG{F2jdt@3`O?9(vr)+usvf<i_Ppc3+{GtfkI%P|q|#Oej$<Y;PPx3Vtcnfc^1JhH
zIzPz#>}r|K?~EafJ16Y*FbmrMW!e&UzKdjMNOTWZGKS9EnlHlKn9-ceo(sx)$jaXe
z(gA0UVCrFmxDY!Ns$3{6y2Up@rqrb5ul5^)c)NPB+5iKx2N)jByEH_4a344<vi84}
z3BC*-{JTo-a$lU%Fdie%U+#@esxg4(+r)47!z<*yEu01F%YVtu|86eXY8n9L&E#^J
z<uVzuI~<2bCdrLi4_>L|=>rR2_fpB;B{J9XK-i9vDe`OiN}#-?K3II=T%(Caa`T(F
zO`Dcy$n5&tZqirvAgb@T&>^2i^7Y~JpOFglWVvd{AZ0Cg*j%<r)!HwT=`!{?Mjngg
zCOmg=B%2QX+`>aA{1?d)<DVgZmCIz9|6}{d%5<37lBhSjRzH-zRHsUe0b7gRqFu{$
z;nA+pt!xfUB>&t|FL576WIHu+ci37Nn3V1e2k<PDrui>#9DmD%Jr%sqg1^z=+(DMM
zgA6Mq!-=`+hqf$O646mM6-<N1cUcBKs;i`baMiI7?W{Pq*FY_ehX&8pda}x`7*Jc`
za)LxEJ3cOGQ6~53!2N$`UQ@Ujv4!+j<~_)Xh31;C1q-wxbwf1SI?9MSdtXuZ?&rok
zf)NZS=d@se{?|@tj0w|t=x@f(@uK4Oqf8ObT3|SJ`rR2G7Hp(XKN)G|!`qFWCvMbg
zg0KHio=AIEyqlP?*F{SJUr<VYvb8l~DABfn^FA9ow@q$2m?(&PaVKuM6>C7c$0FTF
ziv!)&9^6`F5k_$a$DIR)8t{s%x`Xi>C;sR8F+VX!1drKd9Xa`l3W=xGE0T)1aX!t9
zBhgI^Z`JfoWrtJYM6So_!9reCI`nmSkfj8c{MO#UrAvhu^F9<>3m=-NUysY!AcaCo
z^~c(m)#2b>XB!7e0gQrb32Kxy7P>S^pXySFrF^-<rw0U)?la~n)+UQN9vdGt{!oWc
zI!ra^-V0%~1)G7lt~|>8_1nz%PaV1$KAp4QCW03%BU4T!D`5IP|7<QQ6;3`kwmdf_
zitZCL;pPlVsQN?r0qc1x7=`#;J6a`<&x=2I4ksvMe^94EBZmeoAma&+TuD4K@jPr%
zSrt`H=7Wl=HDGI>sb1;5b=aetob;ht4fh>VP2ZiX368u%`i5U+P@{6mI5eG#XTDUv
z|3zxS+a{xV%Tzfe3pxxuc4^|qN}kmNvO2(BEhwz|QXWIKAWe0hHj2JK@W$VZ1|~TL
zr(@X^(RP~0%Iv!i-gA27@^p_bkkMs^g*%jx61{uRPo!aSko2Y7QFNHC7yECtP#KdA
z8!Rf%>Y~f1sa)L`dJuRw>_z&D3SJSA3|rKsV*z2j$fj=qC6sGkx3;UHf=|`{J5T6H
zDbg4E^Ue^qzcd{kzOIfP_t{%)DSEg^+8}Q0S!0lYq!4ZViHh^968G-w=^_1LP^8!{
zQ*fa=KlA*fflR@AOQlkJ*t0%A*4e}yri5&y8h)(J=^n;qf^>YF`ek2?oFzQaNT_Yd
z(ZcFWKMsk?&~c~K;l=qS0uJRZd^@6{jnibn^nigb>ieT(_%DDa%xpIb*GBK@50yzg
zG>mYn_Huk+1qrV|e!X&18{fMhP%+-6h4E(wMLPFb!-m`9xkYB$XeG3+>**SwY}P*U
zDEN;x6pm>sC6;QT)g*hU?XU_K{oK)MyUhkJC}jk=c59;6;qdM^v5H7^=br0HvjM5$
zecQR4HBda}TDq5_9IhUD9w+j^2DtN`vIbMAc;KGbSG}(iIPO=~mz!q;yF5At2G^-$
zNWevw+BP9PKJ#_yU4#v^72hWY6I78uCCT*NI1du`mzACy*ueUJPh#$;GOp{Xpqa)q
z<KXGzCY+ttpyTYTRHCAUPj5=`^mERVah~zk3&*WtqE7hplRyPLWNG{9e0&c%!gXZs
z5UVu=i_K3Rcq)f~j}lMa86Od`CIxxX$yShSBJtWyUIzVHN@|JQ-Ndo1h@U3~*YejJ
z>Q|;EQFMTJm2by5(VTc}`+O#Vu2-aI`HUDo?Dw5WUOz<~;X38quns`!&E~~%H4&Vo
zJpGjrHcR|zXFYFYPXLoL_5IIOLHtuu+Zu6vp4gQ)(e=>N60WFe&%D><$D>aJg{4v!
zh%&z9`GPYRkYx5|1M4a`9^2_licKsK+;d_9afRj}ITIOf#LI!_3oa#3epnz*aa!kY
zZ#9EmJk=Jtr&+M0ZX_#w^8%5Ao)ceq%z$e_e>H3yBkG%YaRpzPCuTBwwv^hN0^`Eh
zC$z~WGO5ZT>qy=l5%O4n{z9q===O;gEcVWl%!|Dn8wzKMT`Rme(QXXk-!x4>1pFhf
z-Ia8p7tavEm76$YG>yUMPVuF%p)s;{Q^BX#)zgHDLg$~>wS4?A(WDtTGC=Zq{t>#^
zF-0((YL?IHGK9=iHto6io6JvRc`PbEMSN%qYdmFb2n=S0ANORnkrf^89wMRt2>r2-
z%H~A|aB`jFasTlTWS*Vx+uG4dBKlWP{}o{a2)G&;e7UHKWYgr+RZX5GJ{4Mf?>eUs
z7t^|;%(q@5Y;SN<^S4hD6-g!69Ov}F@sCMhj3^ShZ4O~mW|PDK1K%d+5Iy+ASiWF=
zw2|ltD_=@*m?TubqvrY%I^?l_lU3~cO1!0ipUyu!Nz|Xvwq*>YL$jES52M6)!poxd
z%9-DjL^gA&eZaUb1jdSrj4l5p=(aslhkgDLPkT4n`yJN>7J9?+QK#R;efOQN{en}3
zEbMaZW6*^syxTOoGkORMcca0afhj`!%?$lx3Jrerf4O?{O&@Vv{2>3$zG=dqmn&6J
zjs`+a7M>ML14QVQg_JR6mXNzcJ-o?Z2R669lbA9ZB0NWl5iRdI!soin<A2w*VaRXr
zA}w}=$hTtJR@gsJs7XaS3xCoA|LfuzVm)I7SMZrstE@#ry+tVcHn$cm>*ZGpmi{Gz
z76Nlc&n**52W@Jz9W_BH4kkRACkds{&t?sGRtc_?%GzAlG+;kJ+X6lCAE8~~6j#f@
z2<elBWs3t;pft1Y-9A1=cz=JK5V@5J1iVKRk}auVeNi^4Fl~m=5WXg{=@~OLxTsnT
zW~sxdlV`~0opZ#Q1pQ?#S60xw`jBBGgF5^tA#pCza)BVE`Yy#vvV+3s?Wd*>sX?h$
zX4dqMCE{GzhQTEcPRNfrX0_v&Dpc-Y+8lU&g}7|8VqT`k4I#XG?>hFVf=*iNfKVa>
z$h*ACmN>-=Eq1>GHGipq+u-_~?p{VvD_(z^jh!DBdwFFUgH)h~qUo!;pBeat4Y_&`
z3xI!Y<!(Dx6^L!Q*&@Hn0;%nKe~!!xLS1kSRjf!EERs+6IySI@zGGn4-6CP&(};TY
z#Z?&?71sL(RB(W=s(9OtSW!s2<$h9JLK*%C009606q$EC)!!e-?Jawg&AqO1x%Rqm
zu8@$FP$X0eNedMbN*RTW%&e3VQKEeFIVc&~D@sNP3E3n3{Qf-WaUSo-c|6WJ&*$s?
zILagIem;FHV8@;ZK@oy5&v*6G&nX$u$JemL;@M$<FHk+CS{UNc{6tKP4Al3vyw-Zd
z0Y8_#zhIJL&`IlKI$19RjXIy=ZyIpHsUo9du@B;V<6Fncy)uyL{Afm_mK&bdsLU{$
zOG3uFl~yRNESNvKYnJB03(Ki3aVl+6(70&H21jL~=p{qNuo^$O1}*(Qe^~~0x9=s_
zHpzm8!`)CiSwR>~uNHGrl>`6$5+e6SIpE}RZZ0Pa!@(a*w6$zFSpUv{h{i-79`p^+
zvxSR-#>t-&b5sg2rT@WL^f(SSdHW_WF7Ah;EmaE%%!=@=fXOGk2oLGihgo?)NkD88
zPVj()GNh9?o>yBE;NUUS*KsmZ@VROpZHp0sL4Jip*H{T+D)Rb1BuYb=R^NytP8BSP
z3ugU~Re*=wEq0$z7C!G=3BE6{288qjkz3NLuyQfi@xfC$V7?UUBFaqyHwF#`y)rdu
zbolh3LkR~(GOy~WhDcx~x_~RatPTpDE?;V@@Nm_#pQi1WI<TKjvU%^O2}^-j$vc_^
zxT$~I<l?A0R9)k4xNut=@+Jp@vojRImGj#}K57kkGp+UM*Lz*iXn6l7U_=SvX;xEu
zyE<G<`bcBMVgQelxw7&WmEn+^p8u|iIt(}Z>=d3L!)!|%!Q-<Ecu{`jPdby}H~9cf
zWeb2(TFpWno(MKihRudV)!@F*LYRK95r{R5aq5~9!RM3H?U6_#%uZN)7+}W0@%~@L
zV@)EUJJIg^K1!gI)O{#9gtAvCRh@cC1&s00l}|kJz!_?@QNe8jr#AWn`6X0fCr72b
zP+JzLHlsKWTrmOLlZmcHn@V63^tQ;HK@#k){oFnK)C62rG=sCF6=4Sm_fj^6;O+`T
zqkD!4jNP}Zh#XUZ1)XU^R4_MiMwhQ{Up4_}$&Q=REO_XpuDKqZ%m}51-?(qem;m49
zZ>GQ_58lmMw;O-2kvF|}ua*8sf$=QYXKz_#VamExt;4mG{MxMhftE1^=2Y)bzuA_8
znk$+0&St+bHB%>r!D?eDPV@`bT$2Eip30Zimh0G;Lt7krD#q}n&w<C8YCmM8go}Nm
zqDJPdH=3|4BcL*0q-+}s1M$>K*ykiVL@&>RGI@;P0Y_*e?hQX^McroL6=y_~2jqJg
zA_1DG;-U@C@xT|Y#ipWGCdBP}`Q;IMfDcCEH**{~;U4NJsqAD%N3TD7f02z0|3$qD
z$P#3Q;|>OQZy#epRka#DOG1Va{m1xL2^9k<gk_A&++aaw!tZt@NCvQN|8J}03^laJ
z)rtRcVnN56HxGr_>w_udV1L%FO)`!{BLEX%LB{nuhtJ>Bg9As++p8Ft$hY$AqPqWM
zMpY*y%Y-mpsH$;yVy~PcpEzLg(e)%V%6F?e(M_cbm`g14k=OyUi=J4g)h-kA6=wVT
z!$JpQjR)NS`}vCe_xUQhu8awF^VkxT)3qVgRFr1Cp%vqZ{nP*M1{0FY#czA9Xn`rK
z;`v^N5sWxU=J#`ALgVChk+EZ15N|m(9rNiIrj=q;{?nNWZN5LX68~NkR`ZuQV%z4h
zRF~8*b0JJ9hbxwaAg2kPtP-oLS&Nv6xno7+XC`EQiePv?Spzy#_?*krRxlqyA#F)@
zW~8EDEG@WC1K8f5S)4q#j@{`<HL&~4j9f1zgz`tKgKtKo>u>fgEYi8%H6fG*S%v7!
zS+c6b>cxA8vuWFyzRc^%opY>c$l8FRB#s1_re<0uI~CGfm{I?5oeh~5C$;E{k-+N|
zUsRO^HL~$%pWu4Mj{e#OmD81|fuN+m;kySkNagoKK@R~AbgAM;gP4gLL{G30+S+Il
z=|R-DqT`&X`6=Z_@vtiJo8l^_#OTrNzU3Q(I$VfJL@IJDL=|Em-d1V4$$$)om*q?}
zxzT{tX$z`7Zf%T2_cKj1BKPa(>6xu~P|vU{@pvy0ZoJxvl=5aqoh7aRT!VQLwVOz-
z>4Uv_Yy8>`Mpi_f8po90#)mN3trl|=B9yBHY@M!QL)r9fQe651XeKOqb((<)bG!L7
z!U_8jpYg9F`<n#OK_fQl+*}n1`RtlIcYqVU)<H-4{e{sZmhVR+4ygcl?$Mfa$GFg1
zP(2UPOcW_yl)h`ur~+GdZ^O6!xKXuj7r|F|KWaVoRA%L?GO*Gv6)KeSpvW6jqz0S>
z$_=l_P1PxbtJrTH>m6Qny3$|jjHx6N4#+oX`>YK25=+LPo#jUlVsDp@Uzb9D)Cche
zGs^J6_HCQtqyReMEP1Kytu#uCH!$f?Rspxn_ZmM#gwO`N=(8e5S=8#Ye0Mfk1*o;l
z{Ao2s(2uU((@Y+6$Zh1c=o&8(jLvc~q|%F_^Zb6+xGs5w*oSrluMuIgqlt}Wem`Qb
zu)OPi0FQJT52`+!CBm@wgMh#Q2^2rv@rLC;1!QyGCg@JEDrgrLmBxijqQAYtcgIx}
z(cQ?45*x~UKJguUCy*+I_^;PDd!#5Ktq`}Nr~meNyijS2?d^Nhxl1H?UKzQInSTkL
zCV|~)&6+#?GAOKZO{$HDh^BR)6#iaOhwtfqM`PDzk<~}~+@(|^ieto%ib-lh4tzgg
z$tRD*44Uz64610BTl~Sk3tGT`CbHfFheO7`H8CAFs>m|RMu^a?4KIJ)s=7eHqlf%Q
zMhdQ|A~&xlGdZ#@3`J-UtP3ch%l;d24d+zR?QSW(-$)Ne6**)!CKZsR#F_a~oGP;E
zm)>7xY5<g+SeGkt1mvzL!TIDZ5lxT<11~lh!nOD-j|Vvw5k=@u`xpmtk9$=|BZUD-
zlKQtJToh46&K0X3A7!NFZNt@455V$#_169yis%WmD_QQWBI4fpG~eK81nuUD+AAj%
z(N=AEVJNo(8c$&y<os#`<R0-RJ32*_iW<?ANO@G#yZ+Zn&lr3%1U{zu5s)yIE$!8x
zGDsmjo`~Jq<Ggd@A=wHA<al~pte7N)D)(hp*A*Irvs+Pu&?h|d^N$`lDk+ZmCYo#Q
zD~+K#Agr40B@V?bGPxKC3!_W&{Z}#yjDb5L(JbbgJj&1xOx(J}hkj3Y#Xk-=2LEMB
zdV#bYDiZMwnbYDzh0*w~+C#<=Ha7U>W}OVW-f+G3%Qg#QyfJckjApNXjK34+AdPrF
zV;OCa>5z|fqJ7FsBj|i@e=YitBytWsu-fRngXvmcSRfxZf`2l>%z_aT=y{Xrj#~H%
zCO0S;UN-~KE7{MbX}2G7kI?3vn4HDhm+w7~3kBG^rjrv}C4$`YM68NdMzJW_4b^PH
zJ&kwo@Vzh;LXa(%k21S4hm2tFF()#d;NG!kpXEoP#fR+ot^;QKDdnb4q#-a0DaVx5
z^CH~4cWc>6p;)@nudluD4Pdg?mX+r-H=1qFo8Mu7NuD@s;fdz;K|eZ$J!O>>l|RD0
zAAI?SjB^T+NXP3#5?S`FTkbxjc2V4?+oqg+1S9OC^Ln6L7IH<QgcY57bRotyDTln4
z>7ro!QWv)Ut>pePGb2dI<it5Y#;nb96%McIK;{`ipEKnQXm~jKNnQ6_%#QqQKFd@G
zu8$0#$8zY9KGp4HO3x?EU3!utou&<Ie(r6weKct1D$9Pu+z#yBO!9@IWi6;Z^!lT`
z88vFu*1dV*eIHiZpB~9}R15t3n)h8D+r@|rt<?IwLs(m0P>k?fO^~a9lee6?jd5Fb
z{a|e$#jZY5XebiX1X`XSb3fm2VLYN&3>@SpFoo})!zm9mfP0R5a9wE=3qMEe=^itM
zW%6@T>NeD&8dpI3Y+)ViC$l)P(9L23Ie2vjA9b+D{R$NOw}xG<;a(?2&tv~mFJcyx
zB*-Y>D?MeghPl5kZ+VyS7mFU9OAT<_%XiTX<AlCd%!VhK(ZzQO%hGs3A2_B4SP}j;
zYuYOIZP>eBz-a}0Dce+La!w7>)*DY6C$3_lqC=gRPOf1z)TQXtA5{p<VH|6&UBz_U
zO}JgJY+y!Wti3A%s<7^w_~h{ZHSBwp1@pmYTiBtI6Nc@Ks$l&6QJPf28kQ7zX?|>d
z8^cXez$TRl5x+FEHC@*+0_uM+r9*{)>s-JsA`zszah`&v8`$R`8cmm@s1aYQZp*6#
z6(A(g(@ooNViLE!zL~Akpo*SPxT$t!u;Tf&?U1~M`39_cqCh(2(B3s&&#ep-!Xs&U
z^xN1KGU=G26ayMxI9YqcSqY9l{=gEKw}V~atUbs#!-yIZMvHA;DT3TdN3w<<71D|l
zI$-pb8M*P-PUo^Jf=_BrEH#-L*=LQ#S1hoiJD(2Sn!H2+rU(uzM;972fPT}z)7po8
zI4kU*4=F(8wVhRkOj;B;*yu9jz=@L6&mT*&Q-H*{;=<?KbcpLQr`L2D7m`xcoPF>W
z5BZmN8jM32P{8(wH77g|YESUryz7An?mxTKWjH2u-u1ohSS>H|;^DhnPm2dT+qv75
z8_dY^esdcBHb1)mXrl042@bCHbvW^?v7&?Ju{|@V1rgIwex1B04rn$N_hm}&Lop9d
zulITjqcevO<x6PefTixPRg4iQ8qn!}5tt{64t;ZC6%fIJ@|%*u%xErTE-PD1Vi89M
z2R)z8@ZrGO(N1b&nH!x}m*ZV&mq3=3<E|?N9GtyEHL4fLi^?jv#cu9#a;eS8UeFZ>
zzj9Y9JY@J$FSnq=&r)gBY%hDD;oV-}Hd{)+J12ndm9m^~H<3lImlNGs^za~AR5^NR
zNC<tA6RTnWD~C*;p3%8Kg9pWJ@qF0@5tPxOzU)+vLlSq6bo;g`K=^rP-dg$nD3mDo
zQ1Y$<>MB{)JpYFPA>!rK)kYG?!rsoB=Zqpkhf>(=td*d>h^+e|L=puxer%mIQ$`LA
z=TGviD?^w5w|@uQrBH#1YfR9dH`{*oN8Sk_g21&wnNbB9<WP|ECu)<3gfCP}YCcs3
zmHA@Q@*`QavGw9>ey1u@iFz|X_*V_2w@8UK8*(VHP-uuTRt?1l26?{oRfl5>N;C3q
zIP@Ryq)Z2agg&G@IN*gf;dfVDY*j5D-6`v3x}HixR=+IDnP#-WGO2f_fP;XV6<UvZ
zb&}93@4wgP13K{V^-PzDu_BVuVSK~+nS?sdle&tB^dQ&ms-vH^5;D3b8ujri2{}xz
z-266e01Op;O&fS+RAx3j%h9cdPK`g7`2L3sfp6)@{hF1Lx1wKD(YPu~47*y!I18X^
z?fg(&UIoqF4oV}uB%*r0AEg#8M&R;SaOAj-3gWG&eM$6IMt7>XxdNk&;law%j_bBE
ziXl!G{3lF69QYaT-#7{!)ZiWec10OAZnQTL?#u6a?f&TgbPCik>w5R4E1`MI4&CAb
zY1HP?@l<!50!7sq4`<&|M7`cgsx>4DWHntGMNeY_eHHfvK!JeHJ4|n57lqJtm%Ur+
zItA1o`l{q-<I&s2yZ<ycxzV{ie0<Lr3Uu3LuJ$j<qdBH7Y}Abfovt!u%?PJ}?x{me
zoJw-2;f1I26&osagxQRwBS(R3^?hyBjxs3Jt%#u&H;<i~yYleup2v&7|LQRhl|o;i
zm-)<otit-sbAs*|8bf2(q%}*q1ls+%<MYAsCz<r2J_(N*fox3`b@Z?px*cz?*6q4T
z79P`hXk}mowh8W58KJ`HTx<2^>0j$)$;vafdDQ^<Gn)#Sod6nrb$NRuX`AderEMsv
z53s{2-V}L?7x|OjgW6oF!2ZGUg5F><tmUSsNM>=N3l>JfpPi|p`)VWon@5Jww(;jZ
zX^%T;3eE*TN2#IC$9y;Zg#m=zw_NVXVn!p~0<XteX`r-UfaPYhK15FZwF<vMkIML_
zo{TS3!!LEbo!5#UT+%v|JX%eS?ifkZyeOlFS&u=rEu0?Ycot_~s{4n1jNp6DeUut#
zewY@Op3#NCXZtfbKdxdQY}|zlCaJ(GFqfU~g$~?2#&_b2_g^gbT6#CPKNWa<J7afk
zQ5$;c&Mi_qPGbXFsSOEiRIt+^NEc4g23`q!&kK_y*rk4L4(gM;WQ97f#@bXZc$>6y
zKjTvuCSnj;ulQky92N6#w{cAqX0p-*Uxrs;VYg@f-<a-@Tep7=8J*CCW})f$IM?^&
z0+y()%75Er&Et-rM`|^|-_bem;K@$%bULH#^w>5zNAj7)S!E3%U<Yol3Vb7LEW{N5
z-P$HsuOuuzd8!VLk^O;>wnxcdcw2)$AKW2dy6{WRnok`9hB{{F_$SFG0b|UItvlo&
z7A;~fk4P}J-1ug7W}4hhe|)a)!7iD0EOy^Zb`o@+EihY){6kJC8KpBOQ^As8z<u#p
zH5fg*MDht+AhX@b^lIy)f*1N)bb0)0K<{&Mv`BN297Qy<bBLyfJ8T6nl(JPp&Ckn@
zVRDJgc{42W+i4oOA#v2WLPZrkpNh^6C9jZ;Ebj>3x1$ARrvh)CIwD-#Iz!g7T_flH
zx46;dMF%dI&}@wZ5j=iQ&$bJ1kgKn<O4>Z52j(NGfjN^Z;O|mfsJ6CAw)Yv$<Dz4P
z)7|cc3^FPZA;V2+p8ZE&ao3f$jbwrg`PIs!7xp}>A`!7fwM%YLdM@-#mj$||a&UoF
zO5iRL!xE9ccit(T>I(vFFh^}mqs^%V*4|fU542Llx@@PXx9mP>xkR9SbXgJ3=LE+G
z^U*@>j~|V;Bu*GLn0P2OM1V-yJ5P85=)kgJ>R<IGF5qfNlz)7b0KfYbPi(KzgEXDw
zEBa<`XufTBaHLlOSfY*yJ3L_o%JCBXSrcA3^6RJu-&qBa?BJ?)bz+A9QXY9JjPe2D
zU=0eQQ2?`8g}hs4te_QGaQbbI0KC%st(sqohgvO{qj+a_psV}x$2&?0a`y!(o%O-P
zzl^jQ)@%;ges<_pc7_O4cu_JY0S}4&>hs>LT#!)sb0O%P7<j*Xak3J>=dZ+pKAbBz
z<YqI`Uy_!9JB5J;odi4-YH`Ru?&g6QYvKLzzLJofz}l8?frpmT$i~ZO_@HCJ=0tF>
z6o`@jmMTT!LAzng?+l*+fOv)hhph|*ndNa!&h6!ams7hfzXU;Gf;Y)$LKYfrL^r<&
zDL^lqVqoESVc56gPdgPO4~*3br}Fg)a8Y(q@7A&?+-4IH%rnPBbJe4N7OIL6zZ(=m
zts)NGLPSMZE&@!_9-fzRQv%E6${+VWNdO}z+ao)s2n*y8u4lc<kUT4qB1$U-i`>mg
zOXbQSDmdk`ZB7JU`$cmrYiW4rmlj#8PXsr<w_As-RYB{Vi;-TQ40J9?BuDY80{`Fc
z?+t-!pe<>6bAw6_UZ<ff{Q*@F{GjE1x|akeWt&fXxyZwHdpub<R1MD9JUkF=uK~eR
zB_~w(^1@5O&!vy)N#Goj>3D}q3ko9|HVPONz)?E)B<4thrsYmwvleaWBK-8{Bon~(
z(-{iabrSUJA38Z)stdg8g|f&&5tizf&zc-2!QvU~HIH0<5THD@%s!|D$Ir!SyYJ=T
z*SMo#@x%~(X2L9M7?olFP|sisK@B`J)30A71899YJ-GHj8Nxnn#!xA#Ld^<iE=k%5
zSh_}X8XA@1%R3iVnXh{})ogb8(7X|B#%Bfotx<;D@=TNUNktd{Q$Vc0)D_<slx_^~
zu1;PP^;Cw1zM}nYIe7T+_kxO+ECnXK&gu%bD8Z5gt$3ZH98{eR+!DD*0g(v)(Xk0d
zs1->mh<YvsyL@iz`ZW}|yVm{Gp_Ty45}YYM=l8??w%2lu?G(Tye5|t1DS*Yn7qOK;
z1mJ6KefD@Y1-#oa$txo`NcKo#aR0#tpYqD&iXTuQGJ1;&bmf8C9LBz}Fhh6tkptTX
z6fkS9`4bo{3zQ94jo^p7WJTZK?D;>8L8Q#8a{0Y9On78|l^B~RvtHz_lDljSt>kK@
zW2=(TljhVREZ9WW6c1W)+B5=Vzp#uU9SK<G%v^hG{vGp530psY+Xy(GibTW+ioqQE
zY4T$B4`y9!|Hh2U2%I?fulP;~fhS9x+U0>|ELPKDDt@m&?LZ>Ut)u*qnjh+o*fucF
z^HH9^7y$bJEg!zZ%?mlDbJC+jTNs0fw;v`-hCftWM;32z!MW_;!F`XnF=zC`&Xi;b
zlb4Eh_|^77uk6&zfQvhr`{irGOtyR8JZQwv^n)4vUxX_C&Dy~-7X_}X-Oz{Gh2eAT
z%k*%Css8%($sJ7W&-d!Q7kcoJKj-jQ9~$WN6`+&*xQ#6eC>QS=(S^rjtB*Dw?U4C{
zt>2zl|A$4J+UGEc>p}^-8&<WjPR=SDxx&Zw56fCWKLyX~0MmAC@!G-?nT1y8?F-2*
ztmD9BTxXd!oG^C|7Neaft1{BnGU;q$e7R3v*3oIh*}TMuobtcOkv{R>32qx$ZwTpV
zgtHb{rC-hOBaV>6WuiYe<ga7Q(whRGsx{%*r>2;9%spfhlHurNUB}`hDl`?vH34-b
z*kdwvWHdoJw?AnOJN24{**`)9P<+tk@#K40+K^dGo%tFTZFXDc!m>Kd3pp8~g*vRx
z>-uWH>>8G5I)1F}tUByga78|M?ZlpRD`_<=uVMef3!dEgw&zD`uMy*<ub9P6ljq52
z)-Xoj3+g6zB#3)pT9BbVj1jIXf1zz$!{%J@(`?;pz~C!#mFvwI*6uI=sMc{EYw8iQ
ztvsd%tqVUK>$4^>IteXE6yCs!$3{H~gQ^hb-DDbhX$lMJot5%s-NZcDeGTl~RpB&y
zQd6+vZ|wK6@{W5-TUe88aD~hQ5waG&d<Mq;U}}t&(e9!DuseFRPhvudaAT5F^1k%~
zb~>H;#tQ2WcJ#4&Mg%VrW~gQ}!pi?*bwln~GrsI%aqTZ1#T-<?rs0^BpwtppCd{0X
z{*wwxPL|&^eW(mqa%jHyXD?$}SuKT0yVQs-%eFLe?>&>8Q{>5-t5`|-3r;P4TJ)|m
z=dR?QA47cx{`>fI4LcnAlJ8?09f~+sU&-#Y$K9VreA6WxSbx(AsvZdj#P@m69i;@=
zM{CG?AbktF8GpXeri~Hln!XwtXCXjK;_<2ESKHX@B(uDm&zaHEZ)>8Dj{*n_Z4i1E
zcCiXx)w18Etf<Fp#3*eL5BG0-aPg~BBdfgK15bXlBdNOQyPJpcp!Hz+=Dxc$Nac0f
zXAc!l#4`58&afQ^5@zwo_19?8LPvgqXapD9j&VC^=!k>M6J?ajNP0x1b3J>0mm3}T
zW0atsmj^13kc38KMszqLF!N6;FS<H$`_-2?c~F?;{5vbfj5=~AFL*ogqjeU&T@i{r
zxZ8@;_b9WX#)j8jZ%qY}iFS`h4V^p$u}DNad$OY?<{#==PQvI~?AML2U*+J{Me)J-
z0S>fuTDN~9OB8L10?T@>92_{FJ!}PBsNJ5iYahQjDy=v>EK)BA`YFLheP!He_T_6o
ziD3ye-EIB3aaay!%=vEzP<YXH{I#(#D=D<0nv={YDi2wS#TmpkK4c{OB=v5eG!p#Y
zbFV5;9%cyv`&-)tP;&Eont>a#Nd1KmJtrd$=mj5pw6+K#S-0Pe_L}ktfAv_fOf3!q
zmvryx%!{C!kPe<IW<1KgVN#b_hKHB{iyuBZ`_b5QIU3^y1w^<Wa`EM`0$lV9i(WV;
zfpW6isJ+J(k;lZqg)Un~IFlge=kZh$QSTP>2K`V*ZFftIV!4&!zNT%*^-U?{CwP2`
z-;;=>RKwlYxQXE4KQABRE`zjfeRq|dR1w3Go&P)zssi0diF2R&WRV1S80E5o8j6yd
zTfbML25i#2^lFFY(VNn+dyaG@G{Anfq|#U&zP9RU8aCjNCCS%aE}w+bFkxeDI!y=^
z?>;v|Qb6UMtuzh->Zsn?u<QPu7UcNSi#~lwKpEB&+rF0S=!4wyq3I1Bs4;NkXl+qM
z7H-?vuC6)?J}=_HC87_^JbEA2hLuo8!Ta{1K@v)s-V8UR7{bLk4c|yi85OZ<tKOC;
zp_&H6x?4m5D#z27nJy|Q{ccMgr=%Ks^OHKwlV}9iVq(X}->RUXLc4U$RwByI&EEVV
zU<{UbDgQ;)s352C$pir(Wn>rK&{sHQ3~wxQ#;LCEtsibZ*702dsgHau*1JUkMWF?G
z_a0?L;tHPr!X}TThvYd}XDJ{jZs3<Xsf0{F(7~{rGzu?a^~+N>fj4|Z;*4dAC?F!c
zC_8UIy64H)al^y}96ihZ2Mh=(^mu4Tl$!vee)pQgPt^oknyHT~r{K{?U6GoA|2Wat
zCPI_N76oD%PAu|v$Rpb;QETZ%^ys0U)c5Qc6j=J%N1Ht_i-JFXF^;2I!;)*7ZB76M
zx*ld^NYlw6{n9|}>TW+a{JP6@w$T{u+*kus1f`Iup@Ubf%`jQ4(P4<n{Qv*6TKjA@
zCD8u>0096043~E})qfPntq_qtu4{Ac&9&XPj6y0+L<$XLq$q6}sZ>Ttl<Jp}l8}}0
z{Td|_6<LWwB_l)<;^*J<e4cYY&l#`xIU$!7cLY}bVl@4|b<e!k5}F+k>JuBOB>T=C
ze>V#*FkYRyyUE1V5-z@UBe!khWaM)6VAd@rROm<jPAmor*hTvP@{5oIfpx3GYFOa?
zjM2xZ2h29#O$y`^B)@vPY>`uA!|bJ~x+EV4S_DgrOc{J+U-R?r8<<wXcj2^iVW<U;
zhY8MR?BgZ}O<i4ry;q@FPA_@nsyTQ~Y9rYz*~#7Y0<Q-{Rw0z{^g+FRGt~Z#;hBhG
zA@$$*jdnS%`1wko((N%t{?gXuhKPSeZ`eBBg%$t(E`l*$yru{bc-D5kdX@+}{ylag
zgAHn&#k%SaCWxu-PD(GBB=!lbGmRRuVKSX{eDb<63RuoaxTSm}Yy=WUE!$Yp`Rr{a
zwbuxTJ=UKq9q%T#pOU#U8paB~H=Qm@T1HruF<RenwuV^iYSuHW!wTk~Q*TpZ3~_9T
zPtg7NbB5RV`-+pxEO00Z)n7GC$CHI4Z#N!lXN0hN_ZWU>L4#PUtcW8Wg&vpHHu`^N
z>^0u{(qV)J^@b@q=SmH5?@CQcf$%p*>3-O<akC=+N&gh9k^$~W7s)=c9c2h6CjESA
z&x+<po<l)t`cS!j?{6FTBqOMROZ{msD{>2NkK7T`$HejOT+z+H7<}CQro}6DiCT)D
z2u#oe5$##dcYKENvBI#JXkkPBCQ5pXkRG(=IDZbu&NBR_!;9-~tb)u?c6VNyF2;WF
zy^=_sV-&^xOMQ2i9gWHUshmo>kUBfwd-cD0Mpd{dm%=p;>^qYF`AdloWJ}MwJt$ga
zn5(Eysn&BM?cWDc8wVX^eLb$>_I8PJr^06-QH~2YUJl*19nyy8^#BR&^GtB8x3k#t
zh#N7U_wTS>(8iVO6P9Z;nK7^V#4&X*4??OvwR04-p?FDgVZ56Kt<NPre_5|ZrSF#G
zZ*FSg_UR^#L0L8&O8Ru<Mjjv38eF_NrZti0v)Yp7{3?8Mi&~}9#*b^~66l%Ens5*n
z<@fx<j+c6&BLhN$xV#WD7u=))nT&}<xhtFyjr6v@a!d%>mRvRm?KBXO$2=Wm!G(ob
z>Tl*5VK_M+%6-_O4$52KhD$<gP&6NXR6j`+#dXI&r5;sBRpU3Faz0+jFN{g^yNctY
z)S=Q&S#@kV<M=>Lf)C#>O435DCBTBYL5D##EC#&4zR#K;Nbh`2*(r%uXK@~#=W6hE
z`nB~@lmH4e3OkO(Nh9b_r;6l5HO#_0?a^mJ#2*)~vz(WKLKx>>uA&t`hk15Q>=cHP
z6C1I|QV!;vgSYp5R0C7Bnswg~5%iVKoZfv~9x++xpG+#M!}^s{PS!0k1TSX&ILf1l
zqrTj0SEs1MnSFA*ye|bxY(I;X<7jB=FxGX`)4+_^O^pg?D#Ftam#vXkMsV;GorPr$
zRG$16VSGRe>=*yq#n!5T-nrJukVOlYxhmnU8)P7Q(E93AA2s-$xt~)mt&M4F_4AO!
zvUqhhhk1}+126WE{tN8W#;X^Pz67Pq;gCJ`ZE2w<oNs*Ly+-KZ=&f7c-W~F2na{Bp
zlF>$SOon1_y)Hi7YWXB0s))(A?|$s)*2bmJOT3#V^kBc9D|DAD4b~A9$E&AwurvOR
z;6n=ov;{{ijong$%CXYPoMj!9&M<Sx7tjG#?yPI?mEn8ZaAdE$E)<e1ve>MQ;9po|
zzw}oHvlmM$V`6o2tiF8vo}b2`=qIvktX9Kl+MmMmC|wNX_Dc=qnxewNIqAwDHJl8O
zctEkz#n;ELHU9XUBPCV(Zb+p%wCdjN(W=owvP{E%Q8fm#w{G85zF7mw)J*lbWo=}Y
zMl%?`Kt}Ax6s=qh?3!Kt;?1m$TYF5s_%$t&>puH=`%4Yz9k=IZOVdETdv$X_&kD~s
z_Ex>Qs{!-%Bkz@ZRl&yewyW7^9isOPysk6SK>ydTLWTWGh=gmtYS%ibarKFE$EhRG
zA#aeYRsq$)no0ZRt<c4Nb&B(m8tNWL49sP$)Ms6o)K&*8j76;R@Q70dOe*7ClqKPP
zM{es)Co5bVXPNWapn`1EXoJhXqIi_zZs%@ng?+1wJu-TgK=s|T#HS*F4QZ$Dy<xWk
zqb)3XY$pw)!uvcP{N}<r$-{gZ)$2fyP7{)>QNV+c!1LoBELdvlu1?>-4vbTdd)*b}
z!H{VB8#Voh!PU9?p##%8C~1D&*B>K`U0ochO?E#Rr(d@<Jx;JhXF2O}t5Iphz1YJu
z|6emh=U0j!RmKwg+TEM;K2xEb-)FbA;WgpU>-(SGBj7~-t&Pp|;z+!t9C-Kg7edon
z(uuLs4p+G@bSyDMapB09nXgJei1j*YUK5dwmHC=}7y3*HLA4^KbM`-p_0I(Bf84Xc
zPr2Pbk*)%mSe;%JSv*Myu3n@+t2f7*zq4cCb@|XV6W*yGHbs;h_VKa*G{cQsNxJJ!
zu0c*qw@<~LDZ-c$7Oy2`hV!2<g#}G;qVUWXrR|PW#Kt#-tH};iNDHWPERn0gp>tCC
zapolPQB~m*OQH$B-rT_w_k#uL51n*pBPR%rgiAJdoyIsIwd1>r7Zbwm+7^9+$BB_h
z=ASjP#^_v-)tlP1$QU~>!yaKUO4P^I&QpSoAa^<Zu*BXuhSO+Yj?3^cp{cC=i1n2r
zf`rZNDdRH?O&{8(<U8Mp?^8$Jwd4(P;-=8R?H^MN7H{9a<O4&5++CjayCUfD_Ff45
zl=zb&Cta!^WIsTJw&jSK4jW+2689$w_7R4O{=cQyTRszh$*RBaIvF5fv)qpO6}`J?
zoNs8q&`Ugj;mx*#(1(8MrFR$d2N=vwPn(-Ey9xCRH`<hS^bvb9@4(Bbe#YX7;R|o?
zbr2ud89n%wrHAb1t9?o5dl)=tXJebj+XyGe4OOu+df2dC;AM+m2cw+buPiqD9U<>5
z+0=ep7awQadtXJrXAIqH<SA%vA?A3GZhR!Ai_oA|33d%F4EeR|PREPCCc+-;%1__d
z!9ag@w^BeOW5+3;7aKk|5cK{)#duX6*oRtpnSZWlWd7k8HxYk9w9dS2^()p!zA^jG
zj%AYJZS8+$sl1k;h*mNCS!v_!*2WjY2Pzl`-M0R^Q$`Xyw^_wc<Y=MYKs+<|WijI&
zP4;bqXf+|lBjGpqRulcD%Ddg?pE8aG9iz7Is33HAm!5dJq=Dd}D?gg5A2L48Feja$
zmJ{i(qxE!jHK1I-IaRaZKI41J<|qHTmlDTF!L$5+>Nx4TnqN&Xm9c7Tfgp{igxK_4
zDAIC8M|^#jcw=<0GC~@{s*lMO6T!L4_tM8!=6u}-l^CTEhNH<sPwKU2#4z>o#$|m~
zC=V<TsP`UR*_Q&i<+eN{)_x6Gz5ap<rm}L+C4Gt{){S0g<Men&youWFytRFWr*}q@
z{Si;3|8(QHTk?!JDejiXq^1mB?#j)Lw^E3-`C8Y=ZN-H2iP`<S(Mr%eX67#U-)$l}
zfGa&huY_=wG_QH}l?LyKLQngud&GN>lJNK)r9{B&o32bd8e;c5<7mbMf-CUPx##6&
zgx;OJTaODA@%*Mx-`%KeLc@{yHf7&)f}+${M@lNf)+o=$|8y?FH5&Q2)3K7+lXv^$
z%c~0bR~`7U=6W7snjb=uj;JPtu3Bk5U{=5h=R=jT`=1i9*jSi&fh3H@D_bnW<Ppz7
z>FuW$67@Zy`M1Vuh;J`)FP)i@!|1Ezsfg(!;_~E3{`(7cgwx4&<Li&gq2<Y)I?IV-
zVz4d7WO2g_Vx)9*UG#5R*p%Pvq==LeyY7t)1zR-`A~RjrWlzZ>-{ebzXTWnp^=hl3
z(eXw?)2}Frl}#26HSgASE>#juFT)3!MqU#>9?9(@aWb%uw2Y`|Aqd*r6F%1WTZom8
zxMnLYgQV6hleyp;;uUqVD7)<~k&*iN);~{a4653u$I$ACh*_6CkI%m+o@7(ooUclu
zF?Wgk75fXKjoH4h*{z+BW`C=8vPu#k{N*M_#2SbbX*NUp{vE{Jx8ZJ!X)4kb42KFl
z8;Pz6?#3sjT|`eBl_Oe{ii9=4?M|=!?{a4uy?EV6;z_|IlTM%nvg|sO+)7&rHl|NJ
z7lr$X{l?SB<cleg@!7UFW%w<z=CRNhsr1i8zS?4?6%z%tu-%uP@4hFV9l2>V?J_`A
zMp`jWZ4t+!$cN6>i|xd&a~?~Z?1l)lYpmZ(GR5G!-6F>4K?mX6Rbkc@_>H*66<P6p
zSrnGrg;(n=b`iE=)e3!W!^Hcr&U97}QJBkCd>TypNK8jQxqJBZDB<zgS&O|+1V4xT
zbJ@fCi0b($NzWrc3GV<E=3i<e;3&Acd8y+wA*^(xzwXl{@nl2ZpLeOk*p%B`!<R8Y
z?7fyJzO(Qbk=^4aQn5xD)e1}7rc;NAnfChJ&lNL-P3@UyEs;WyKYBep?9DeKgd9J3
zmgx`ip)=IXoJ9zE8KR!@_(6<nRgeFR{!9E7?@F?Z62v|2qnma9juID5zl#3exk$|O
zvv@i33gR(SQA|101TkZswz}iQGI2h6%)0uv0PdBR{O;G9B8F|LA6QN?lVke&Ui$h1
z_{O^ChZ5g3k&>kIIP5ShsipTYGWb0|2IV$#HPe0*zdBWmZYHlHuU-fi4hrMP>)TJG
z*-ri;9w_*Cyj<oWzx6)9vR{=Sb@qjt&-vyF{-^G7Lit=|$<?XCkKg#<7rOCJ@~=gr
z?~mUB+s8a)ylc(5>Zg3z<e}xvEyP56PW2r7d5(|F;Ivaac9{>qjkPizJ~5MDuc%tb
zx(JX@_vs(`8_I|LpR-+hJ*?y((JrrrgF<9z$LDXXC;2d8$2{W0$4+kNn0}G)RD^5_
z7CNSOlMgKW6#IpvImxCvtFO~W;^eOfVY3pQd??c6J^jU!o2*=n%lpMnB~4G&&b6BJ
zL*Tv<=P!F+QitkR9v~x4Vy7|BhjxB^e)*~Fa62D4x#f&%tc@%g@}wv;HA?`SA1GX{
zDi9zC7Vq-%(Bw&#M()L0LJ(Vz{V55o5h9b)8su8_6iGE>|1%f0gu(8+fAKhnDEVwx
zgttJD5_z<EM=Lw0C<L@TcrITQCpA7V7`67OkO6$nVTpUh5z-eD^xm3Edaz%IOt3nM
zt~TzE4pi)N7tT($lqO&DStUm3Xpsf1uI;TW`^{$R#H!s4S+blb{@)2s9Wu6hAt6aq
z4n;GA2O|E-k#(N^v%}%KWU}FWm-1%?3~~F!*mf(BqU&tdk1gntwm(~cJ)$V%ZV=Ch
zh87x`d?R0L*~fsKWjkONG^U0^))Q&3JC#Y3j7P156?9V2Ki=oNmNpE-w~8B&s*+QF
z);lsj8IsKVjV36Sx@e#KySI2zo#bgA5?fPdL{_ee;o6yEfHcz}o#Ts|WMTSZriHFC
zsn77#mnt>F(AgbVs{FLcOL6Bee%CW5mxMCgE_0e8OqK7Tw3!ZBY;zzkE60dDF|=@|
zGLV6Vk)=z#Lpr3a+;7HsgdsWTB&g`)Z3*wdSO4xg>yj}HKmVM11G3MXCbjSPI!LqS
zY`+wzOK!ArQM-R!kCYlulw{gzjepD0QWjCVq(=PHJ!z%d<n1eg1C(Pn2tJgTHm9dc
z9%u6?zz#KXyoKGlcbzSgdVf`_-_arUlS#>mzY65R9Ci8sDs7=P^^ZHCQJZAHoBZXx
zpCrjOzk2c1pe;%q^vlkj(IT6aIA~M3{3I`{>`q0}7D~cdtaAbyr0O}PGOf5pBH(ho
z^0J35<a=uDr4Fl-pMBprDLD5rHeW0ly!ze-Vha10;_oSuZU5H%cfE)O7I}M^^_6U}
z#zf>#ccTJ%Hk&zPZ458k6BP_&{j9O6>zBUfoGf|M#_>XKgCH^|O(mjot+1U}QmOg4
z6#4y2MOL)1C~SuV<`u`*Vcl1^%npc?c>GYA?j;VlcM&&U8LWd0hi3WO-9lvS*K8@S
zuM|vFtJlX}w#0)U!px}|Yf1WF#}7eG5|~xk@?mxqxY-*Wkz~t39`E*fY;8tGb&jcp
zohzWDo)@%b*D~>AwGr<jH!6(vk2PrLGB7%E>NkJl6!CN0Ic{ZJDp>E^ALTE#fW@~f
zhhj_GiOml$JF%>#g2{kKlG1GsnRqouQ++2xZsx+Fs|^we2r@WA;Wfue$t@$#8YdWU
zV%kmIPfI}kE_c<!HZwSg`qgh}nqz#M2rYX{m%!S=8rzRKrZ}B;uhPSV39sI!8rJ-y
zKwqxeMTFZF`nyVaj!&@SM~TglKnDe;@vAHx!%Xn1FO{k;&w;G5^a15M3TnLeyxsfD
z7{{lD#!ql?A%9DWfMo*(zE<W|{vpP=o7F`N&RGMe_BV+YgB08jD|lGPY>a|WN3D$b
z*J8dWt<gzb0yFi^n+B7OppcOG;BO`$4)&Oc;*bQsIC}XV)i;7c?)h&cPx*1-iQAa>
zTL}pNdvL+L#}Ii2f^G?U0!Vu?X|&6Uiq`SlXO&|NasT3-sk<41n17x+95O=1LwDyG
zeG5YzV&dg=yDWtEH-V3)Zb{;_3`_L!MLIb7G!y;{5{B7QBG>zUQgAD5l%~|takser
z+n?<sVCq*$m^GJ%MYx*Mjs!Xk$oGHF8jE62nYk;Ms0;$1E1CrQ(!um4s)$oY49c&W
z!(494VEG2~spk%K3=97`B)}yOo#Ev#d~&kD{9c0uIvo~Sf+CG`;!rB*@iH!wMWKA9
zowFJp#I4yRu5k+bqU4-P?d9+?;EZvwDjn6OM~e1;mq5vUxr)vA75gtT-$tK~o`6|h
z@nI@zc-I;RT$D#g-t>NbJ38v_?Ek|*A&IN6uV-9RQ9$#2|ArJFIzqYfjt?(LVg0pM
zx02Tim{`yDx-5x~ulL%&|74dzV#?M>U4Dwl?%wR)@`jF8+L;H&;$@I7Z+J76gNC9n
zL1I(<hA?a2S*{}`3y*`__WGpL5F)gvRM^uHpSPt~x97@&VoP<2Qc}YExHr;l)rP3G
z)p4k#%OP2Fn2#k(30$uwJ2ojAfi74TbdQw7RPaZ=9wBACc>Dd6eTorYrpav<STB$D
zjPn;+jws`Y(fvo9f-8NsRk|Vcl{|#X<$hl%RmM<R(2q?iD|a02%uZ1&1st1=kh}3!
z8DYV~gDG+*csL@tkyfk#Dy=G-oKuGU^A<mWA`^J=v$?&dDk5O}344wSWz6{h{+(rO
ziuQ9XzB(rqp*Xoecj=`vj!9>^GJiCM_mLK*<QIy_+!{=oKBtTW2Wvw!{LRq2XW^?W
zD-G7ePt}-K^y5Ip;HIGkGxR*AR|{*?Ft`8UW|?Fql#!2zH6zR+EPs;kzC8_HncciP
zvoz$&Cq_>*S>XP>kAc=!8mfL@&>1nKL3_C{=0mUr`en~<+-OS!pV5!A4gQKqPPsNq
zbXefImA&>PjfQOPR;6#T3Rq=zs&HPFfv)zE-qSOR(0`X?)OAN5haKaSO#&E5wVNKV
z%2$NCw*J*4IdX`tOr$@`U?9IRfid8sh*1w5N_Zj*_F}<@Q`HPapZ%n8WJUp}EBq&>
zi)CQAtP!l-%m8JGcgZwd0ZH#VTV|r9QT=dm=ZA)sxZWF099a}_ooscNDUyVqOZUN^
zLIxy``u_T`avzv{v&s{hmq6z??;)>i4D_`PIY^Ai;WV?vyxCp~&K^w3Yv0YlOMz8o
z-aF)=7biQK^Fs_<<nDYaq%u(H%lvD!N)}aP5w)tRqA+Q!pGbOd0fXWAy{(F}&`a=4
zIS?d*=n+;C(Q_8~Z+5LY$8{MTzB*<!7buL)y_IeC@)lr^YPGGHmBxhW+=1IELdXr+
zcwW5L99belQ}4T^u;WkZdCzZx7-a7sKDOH&c{#bAq79O`-;;K(#Z?fe{#N}bHf4s>
z`$bQDuA^enGkA!5S^yL#tsGjU87_M36jI(vz$HL?HO~s491pNPxhHIfCx%f!ohB)m
zbJkkQjTV5Y<-?wUEK@jTec4qiM*(BP^-=X10hoD=IyxJgVltuISItKp*UJ)J^y383
z!I!Gb*JuKYi>cv;dNEwoyUj<b6aZ;e#HH_Mg0*b_z4p^z;SYO+$HQd-tUfi(yk*K5
zED9GqYRg5T*87w0=pqOnFAceY7-R5mu^!pHT@**oO`d+RqK_5yfvxWH#+W~FaD0wc
z6xDi5zr*c>(EVUpRK3Os)q=hDmtTosa#U%}$R{BjmGR*&@-)Kwm|Q;co(P^rYk%jB
z6vl?2DgJGoMp!rfUen>a2(<Lq=s1{)!277}X1_v1Tq@ua?uZkC@xPC+C061vl^pxz
zy3Y{Da%xODvqaEvVDX{YM^QwEpV)Xo*bp7@Rv9rZB6y<M_-(9K43}@nj9a(TajbKr
z!SZTRB<hrCZF(*am(TITtFO}`NRQYr>?{h0@PzPbk^*xMZF%z@E8GkAiVZ1Sxo;$c
z46bxY;8ASux6N{NT$X9M)~G6mjTXY&pUzW}bSuW8eAWPl${#P3JrM(EWB{#SU23JD
zI(N>#H^7Bm{znF_#Brkg&A&s3rJ>1FQhBM=0B!qH^}hTN$1RTy>3VK5nC;%Lzwp2S
znx<`m#&;>;+4T2y2Zt=0y-C}SGy`<d!>jfjkib*w{ndNQWbtH+%jukS1DuP!GoNir
z#p6&dldi*ZSZY^jS;{uRvVzd}4bqZ$z+WduRglLWNq-a1Y6GyJA6KyFlY-rP=A@cl
zdF=gZw{P2L1K1p1)qI{u8nee=@l%r&AlsI~XTwX!dF}EawOleds^KC)cTj`~gIbWZ
zfsSkej}JQ&Wk5Ni%G$c92=|5Y8y8pdS;Wh4c3xT*SLVIH@6M*d_=Ew&Xpjz{_52Ou
zE4(0G1sb?FC_y`&xjWg)5Z7p=*L!n0IJ1;jz5S>JIle^=*QbVv;ytlJ{f!*Fy`n<`
zJd}}JWn40=Y=l*N>nhH;$|J2+C+AwLGS)2B>`i)XghRE&>X|`#w6r9D{iv)03CiR@
zZWCj$(sr&+J*a^77meKI4yl00ZIgXht1+Gz>^il3PyxjUm#RW8t01#9FGuRI33`*_
z4p4R|B6?4FnCn#)y!mQ;C2x%>JnHn_i=HcDYD|4}B0vSSTV*@h^G$K3c4V8N01a#F
z#x%q<RiH~GsUO~AhUW6X19mPnaICZWmD;3?%s8P7bK_<hnjuqfU87;Da^Sj=jWU*~
zLk-U&&GCIE-#6(g4NGO0ephEGp{ek2c`3gIc4vgXk*}tq?&C)8g<cxC22MCxCs=?@
zCCB(y2@Qw+-$msx(ZIH+=FfLl26VGGovux#LCkXNpu<{4@ZzFNk~af2S9`a7IY>kQ
z^}7O0yb4ga{&J&yg||)7IjSYHD|WFBEha4T2z06%wi{>Q^iEIFkXMQb+SpPRJ0*){
ztxrdXRs(C^gwQJ76)~M&+Ti&`290)CVr2z^pZAIl&#vTiRsLzyv^;5uzW6$JPXK7O
z_xJz1TLI@17{b|)C87F@i+z9-kPi9%G^J4<{d<iK@2u>lv90tpp_RDhQ>`_hH043L
zUbUl?jRN=F3g(6~23FhLRoQV(4w|=_bMG7yTj7UHe^Mv|G2u;mVI#6osVedfpB2Gy
z^0CdEl^M8ri73yqk;Q;@)}q=|VfZ}rHmhy5KwOBR<=Xo)SZK`NW{@m|29+Au`~VB2
zign)1XO_X|YbKn!If7VK%*tEMZh@(XWkh1L6z+IaEk}j~Fnv3Ibx5i?9KCOCdvRY9
z^~=QBYxV+IGTUlJS2oA70G_<?7%I&Ey*V)4!4Lkg*B+QZGeha_Qse$}60isvE{?j$
zkIF-ZUH2@^pqpxcIr1_EsZ!Nmy)OJXEKAAQ`N|ZppHtKdABrP1KeOVX13zZZ2#RWN
zHN|hIo<+w#F?j!XDZhH<y^G<&q;I_@xNJ0KKcOrJ;(E{We;4?%aNxsZijN6i?@eJE
zy(EgizwMd%>-nKx6{_a)#~4S(g~C0UMe*YNwr*3Z0Msf>hNM<FFQV7oz*yn%zohI{
zw=N05nA)%2D`5<+?dtLFdLmeLWA|h~mmo}>a#zh28sVJ5X|LdMVSLyUYP57m5EdtF
ze!O=yLY4b{FQqDB#4kG=OWFwGy-weT#xX;*Iy#I=+!sds`#0t(i!1xJ$6$p)oFTlo
zd5(;v3FE2RrTnRSVH9rqFdA%Rh$LjQYvl?f$3On$hub3XTC?8z(^opw1s1ZSnuU=`
z^uJ)gD2gK4O8@qobX<EN^f8V_1kV4ytaUpthFbI1lu9Q$HoH}*%{hpGCDrB0vrFR8
zUNpF|%twd#{*PgYazxO(9Fh6+J_Q%bzK}ef26$;|_C7&W6g0ovwJXYl{{a91|Nj)1
zc{J4DAI9zbI%8jFEHn0XW~{>_6hcHuB2kvCl~R$AER|MTNGhb1ENv)D5@q=cQBopB
zN|e3LZ+?G$&Uv4E?&rMkz3=DsJOQ5`)%h3Ep}qWUoz?|u+*<p4gwCaier7;_>^?da
zYmf7e=*Zw)$Q{SiYn5QGchaKEi;kwZ`71#^GT2gamDlr%G8FsssyUc+{N0wJ@0BTw
z%sPYXt|=s>5A2&R(xF4az$nYfT@D{Ld#9Dn$*}v<!gQn1VewIn_*hdO6jc)+uSGI;
z%zRJ3rbWjyV>Vtvf&%7NDvtelsDidp-<?+Gbfi{EYlZVGqASl=s3K7n+R~fiA8(+;
zGkkjEu!s__3c1mE?bM)9^Yq=_L^@jjHssRC%JAgXvrrIFN8o$o4L7UkD7vZ>vR9de
zRUZiL^_}X-?G~^Xo~NU>?bigknuL6tyW-oAQLr~|=(?^w18zl|k~5sh@K&p~HMFH-
z*yll^;WY;G-)UEejgjGC<5KqRI~B1$E$jlKCLk?m{B=uG!KdVwK!sx(*nMZzczcEk
zbh`Dg<jAVx12d~mSXvW|8-bKk5mUsCT~6OrsS1;!Y2BHlnivZo)_PND3gSNJ-dt8c
zkB6_ZEqvC5(YB+5g-kQFd1#y=yi~(b$G7MNH7&%jDY#mHGy|Us$NYXzb?Ckp<utd^
zLj2@B$FURUcyHIGw4*~EcPXX4G3Htr9#X6PWo-ei%ahp$85A^^pN%7nXn}O!Qt<i@
z3#=((%i4C50;3J|HRg4i;FvFd7jnfC+&krJe-BX5=H(q!Z=;ETp+=`KYnfQ$f6^2n
zNX0jyn26!48mK0I=I)$gBDkrHA)v{s&%Bl98KJ`Z$LZ{@R4ce%Sm!vZPldohZ0oZX
z3aTlb<r4zdke}BLa8;&ajNL!EiIaj6uS~9ehpb^SzFXdUk%HXy7rsUPRD*Eaa;X2P
zHRc$#b;b`Vh(9H?>itVq+^INJlr9YfC)n7S1W{mIHMtO0s)F%JfBs%0;PG9b^!{aa
zoIX`K6_!9oOs#PEk5#~{Jr9J$4yr@p?NxzE4-(?Cwp)rj0N<~@Z?t0lkKHNSp+8g!
z0`m8BOIYhKn)DrJ->8O<-rdgI>=mFdKc*aD46ON;!XV#Mh3xChC@*_C_+Ls=mXHTp
zbx(@!<yXZkA2rk4Q8MUw!le{HZ;j;V>&E(gRPd_y{M~{UDSRG1(Nt4n4bld_-802x
z^xqcGD|ePeKR>l|Wvw+hrs7VmpCy5pS0rJWO9B_T4)m=Xw}SJ!)<aIVBs@PQ^z{1_
z0Um5Rk!SW>;jW&bRJ*=12BO;j<?s-2-7`Qmo7W1pD}}%MJ}JVBi}I!2SsbgGt<D1{
zn2^5qTd%TA0Y`54uVSwkgVi;W($^A97=@p?(vvC={*tJBUfyDeHV9^RowLNu)r<m-
z7&#<gkPUhvDF(ZJt<leAE#WsE@>z4IEZ+UPzp>_<DBPHyV|Vi`(0<jqV<bxkRbtIQ
zd{}j-wkX<0B@6Je#RvVXmByA7%bKGEF+4XsIU0D?9JhJLf4t{lUFh?#G+{?E7`HZA
zZPhTx^{@(ot6Qb;BT@18v2$W*T<YW+tT4l2h1)|$gOX6u_uggnM+{Wm%p5aIGnna`
zY~K(ji7Kswk-Or=A+%Y${?iLn<d}8)Rf<Z&&i?6E5e@?W9^?|X*lY^sNuxV&J0$Sd
z+HW=Q6#^&?_iIninjmOg>Y{(41j_zoi(GLhVxc<8*dp5m?4c>1jhPY<;Oa>6B1#}g
z<CROct_ds!(zj$}NMI&!(y8Z@1Z!SmEQVh)VDPi+lx@BQO3kw)KetJuAS@C`4lt0t
z@^a|NQwc;rKI4)4ND5xD56wPkF)&;Cp6v&lBsf;@SYO^Kjpab{^12UnENeF_XuGre
zRgk!|_mvDJCI|Le=hNYJE69A}t|YqMzx|v3B@40r?%zlObUa$x{N|%JYhQZ#69q$g
z=$AX5jn<@NZ%A0e@I5Kq;^ZZM+p7TGilL~A-!z<>A2PkXUK(fe?$N3LDWWwe^VH6M
z8ff`)cAwZ~;CXz0A&8-j`{ri4>uPD}@Fm1YG|NDS$IyGf7YPr8A@}7v4NqK6TSszb
z(V)m5_f>|B!Nt+`ua{|fS2J{B=ztuA#tb65N67Hs8kfp{jRq-$QeuCsJm#AG-!Ljv
zAln_9vs6jLd?A;ka=ZdY-_E=oOHl>suW@#CCk-VR6ZZEXSHw#4>v>lnHF!t_agr8j
z@NPVR=xwDE1j`I`Pw1(GBfoR_4vR<0`ab2&qsnj&RDJ2k(wTdwBseQ$>6qYu{CxWf
z5*`(gF?jnZkjqI@I@iMD$PM8OlZIrZY*l)(>k<{S`;PXPX)r)*%DGoGKt@OCCIZ<{
z18W9}o7nRh5IFp?U7V%=_G|9R8VG5^-Ff*#kb((LQg4{YQdGfLBU2Q2Llf`4j+8sy
zGQs1q=L1jMRbg(^8F^M;3kwlv>z+HB;!|`|Rd0kExQL>9<cnGe9gj6hn>EEyv&udL
zUUeM4ljYexrUm!MT*peUn?a}jwxHd4b+l%0-F8b*8)|$f3Pyv>vEujlsGlMQM+i-6
z>sfW;%Z<EY>K5=?cA02ALqYeu%FTu&TA+<+Rd9Z>fO{NQRNE2-c@zoNmZMt8y=YuT
zF0;fZHpN}@j#Rw=`sMBm0WExuq=znsFyZrM-&OH6D!M8T#Rdgv!hgB`Xpy`Xc!mDs
zaVn+4Ykd_-jm5#5XZ0Lgo>*ZuukCe*Dk?s&kNYE#Lq&Id(a&NZYxKPM?||b~Dqc*?
z#BEBVz}k8Lub{WqIP3STMkAgI3GNp=1Krh;X|eUXs2VVL=K7yd8Wl?k7v7TyYUuvC
zEk45)_~YG@X7HMV1qrt0r8X68OZK>VF#>oJO}We5MuFjnpEh=hWW3ROL!}-B(nXc7
z_P$fc@XjFae{>Rh-GV1~qyqa^3tT9)W4)Vr#gfUNicq~a`D7^p7`VPVxiDW1iAnBX
z)Gx{-U}{LAa0l=<_vrP%6RN1XR}mN<E{iZOyX<XlfNY1J>`xt4xCEKCuL_q&)P-B@
z5jw!ri|-DX?NC9c(56sAfh4-BcX57V0}i?Lh#QxZG5or$#fnb?{SETPTm{znW@}9J
z{X|0S+_lo^8w5;!b*<~ux5ne3xw$fR5{8US``;cCha%m+J)p)4H=|T@Ui2%$IkPJG
z;xRFlI%hasu(ZPX6LqEG7)883c>3qZGom2PywGRXF)<ZG8)#BcfT=ip{Hh%yfP2R0
zE(Q~Q(oymMhU74Da>UN!yf6+*d%NUSSR!>Ho&RXHEcotCrDPL@A$U0P-y=;+#Bm8y
z`me|!<+GEhYQGQy@VuXV%>vxVPumWZN@ET2mxk>dAuLj-B~B??z)+MjsQg?CcV3G>
zdL|`|qXX2Vl^4u$Mc`=GHx4PJ7#EQBGKEolzAsZ$#vB&)S?B0plBgL|w64$=!N;&3
z7nKWU*h7&tuYV$eFj8f+)h`j8yxjZRP0<XEca&3A93;SGV@#*~5Jm4ao8Cf^DfSLs
zD*X6~2xW;ad&1Mjpv&d{E7-sk59>F??aU)0s;a9}T0<Ni8Ql*i8%z*?C-R7CC=tSD
zK@b}hhro-M{yiQh_~#JgdU-7osbU){hw=#sBMdy;{*3{fpH{+B_CzGvtXgFiLqxCN
zQpj8;1F<#&22!3xWcX%1QTLR<jo&8K?K%v6E$)k;#1j!8Kg_u4Ac;&dJ@r+u=$KOG
zEgPyJ;>Lza(-jvf*agn=+)ZWaRl#uA`@cl2r+fYh50*yK^0vomrgUuOJrY0aF9G*w
zS9>jv$-wDihk*JV4c#F<O=Z0jU_5T&eB2@n!PZ?y0uN{yODtUx@RJ04B>QbGae3rz
z;9h)~OhaK=VcMHTNeF599xaMezzx5d?M<FE>|u-t&zDGHQ6Sw-`Mn}cAISwb8nASD
zz*NpMOd4?|^ZuRz${5cv=nRme;klHV{9!8@B>qr&HxN(4l)4Gki-(3krZt8+6j^L`
zCkQFA{I${X%1hhWY0$pecvhJ#hs^dHC!VROAd1XJ_2px6WV74dN?m!}E;=dD$F7Qp
zE*nnsD9}JXM|*H<tpYBd-r6w#NfqPI9x%bAVYtko&SbwL=o1^(9_Um9Gx&zyn+O{2
z92{jcdZ>hBa>=s}_toL{VXNc$G8(F$UZxT_NLc&kYE0)P3LeopBlLgKFe+KaDO*lL
zMTkkvuR~Pazxr>D{zf{^IoUaL2aqx9Chls((*K86`b$e~bX;;7AV(2ZaLd-bGe=t!
z|4Ho4xb4Wm358>oMbBA&w8;KR{G=vAuYde5|CYu5@|jl^Nve2s&9hMGtQN}o7Cg%n
zOpwwyl;viuhP{71bLgttxD+%0$6MDF1N1@Z-y>>}^QNzQc3K;5KVBuJeKp1Nv51a|
z40V`%>k+Mar;RH*>?z{+%)nr-;UuY3z-LfivU^1vzLhQ}NH@ndrdoe`H3eGjToy8O
z+DO<i&iT~e0#bTk<Jk<U5OTg2{NkZD=DyD<cA8kC^212pp^H@TJSvIgbk+uY-H@5O
z2ovNFvqu<HRO~X-dimnE7CKr^a(TaFBCziMkDC+?$fODG8y?n#<T>OG7g|B>d8oig
zI}NnF5k1iSiN%El|E%qv)_CyW$>#@GYe0Eb{r!@sROreN#V^iU<6h}pRkxM~J~nix
z>8DcQN_;fQ!V9{8QI3E6K}Fi-8?x$}>iDj_b*Ez-iwlJ>1IzNMU|L;p;cQTa&#vYt
zWd$rBPCuhjq(enDVO?j6iwYcEB!fn4fW7teH)V?`NSw)NC%+@1#yoXBM=Q|l)$K6M
zO~Lq`#je<|N}y(3c0KwGP(9GBV6s6Si>^+8oGcZvxyGT%i?t6yd&B-)Ichj<9IdbP
zP!`GlYsyjz0ld%Xo_e8*(7Q50XF{YA)-}zyDUqfBd9CH8ODcHpDMTr8lZ1ip!C6~(
zAaSBXI-K?HpH;AL>)b=cSlU~ZC<6EOgL4nBW#xj$rhayB#le>R^iV^qH4>%jyZ-DU
zK}oe{E+kP5xoz#FXeVo&e&cMk?8?f&CapKk?u+1G(%j!$Emj~riitd5uZYDQ6P>V8
zA^3Iq2_3Pp!k-xJt5=|aDv75qxqAg+`#O0~<83C6xNkY7^jZ!>jZHLzNC8apP$u3f
zGNI&Id@ML!79Y)S9Sy4GXU&`TAnCXzBz4C~>TWXdk=fUg>ctQH=*eqm{#d{`^k7P|
zu{26gJ@egY#*fVH{a#{`7KnHnX02=_1>KIALhnudIAR=n%VF3YpFSTEWU}&)xxX}T
z!##eM{|i0Z>0u6!Ph4%!k|iMW`bKm4Dgn%uXAMcVn}N--Lo2k0h+kr<8d`q^Fz%v%
z{II<lynU%fmzYGDUe|As7!d?tOn+@;vnleFvRs>=5YSujb%gp=2sJIuM0tBtXtN0q
zkOK*Ll90eYCL@B3H&0UkdtrjaNTuz|(gdXctG7uC6~)1x28S1(Ca|(DDa`sT4!>O=
z+`}TopvgOM)bS$&`zY@|Dt3rN_e7n;HJUj3*ZjP2Y!3q~E+0nu+QiXd=Uy@_M8LUm
zk-k?V4Aj@Y=&X7pj{Wv)8|>x@*iJmLBjOgzuSShf&#@7(rS{}r)$c?M-~ajR(mFau
z`4=PCSQ1dR)Ou-ZQ3C%CoANd;(J*_&qIAbG0ycc>Cg~8R5E8<()3B6=O_!>EH_Z@`
z$Mx#VZb+jkE%n1De;Rn+PpnZ4BjV((pE6qx$)HSetJFPt8Xo$mzS=rZL{Y*{pM+jn
z>}7AZZv0>jyR8gDdX5AV+qh<J%vm|2KwVk1+!*;B{jQmglK7Onc>~uy1*klPi0xrx
z9F3WXh!U4VZD7~65nCnb1sK!_2OHyN-N07!DJjra^AjsRE90hq<xWFaWB5jz?3);3
zapa(L;O;IG#`a1t9I`bAo9-6!)(<l9D$ZSQts=udB6iDrJ7b)`%eQ9tqAYf73SW2p
zvI>TFm@1ih7~^@!Pp)RNJbaItzAHVWis;Xa2eYD$!Jo-dRp+mOA<Ii67mll;)aF%A
z_eEp8I_JDT?Y1KRvwJcaepDU0p<2AW{l?&x8aqENq>O*5GpDa+QD87p7^J8|1DEzp
zcm<P$fRUvoMg|oX17(jUlW3^0zj-(CH_NAqCWWOQ(!if!QFEmk8t!wbbeq+)=C^<4
zfL*jEyiM6|>g=LJ-@7mW++h|k=8fC()@kA3Xv%sEeg<SXzRDbSRz?4lw_ZvL+K_Uz
zzt3020O9eokaD6LmiEs?%yel(%ZixM7hwW}SwjAf0X1xov7Vm^)Pd28aEXH{iwhTi
z#@C%y$H<m<{qtQqSU5J7yNzImyZ?T;csNk7<01EV88Kaadb>F*ZpjQ15psQZzEiM&
z!GTO9>7pguN`-&i9Bn!DgL;Rl*i2mVD*UB`><wE<?1L8Y$+*a-$Ias3;h$z>`8tqI
z74f{@VTn#!`vNUW1E1%6y;`_+knAz|aG-{Xn_`4qg-06ju@d>uh@p*V#p(A=^R2+I
zaV6IB8*4qEo4cc-7Hl`HmP(4U#tlWK;xm6Vp#5CryesR=_3HAUx01l7Z(h5<e$_y>
z;*v{J0TqJM_wKcY0OvMtte&pXKyrHbs!9?C`XZDz=Q7|PcQM&KL<4)4$BcT8slh%z
z>kMNU_`Nxlv2LCUU%7#Dw<#4QzE@G0;IP5a%3R#B?Ns!0NjD`qlX1RVIM`dt2E}cP
zoC5U}nBkv+P^dBn_lyT}%GsdL>+#N=E9yv@x_z_LM*+T;V`al4HqgDKQQybPpP_G`
zmiz9LMZ4eUX|n}jaBL-Zx0@PvY_&X+)F%b5-<;L?F9C;`xrw|`RTLBc8r+VRz?qDo
zi&a;Fm!V%vb{$Xwx%7z^bpruQtGar0Sh?disdD<mF*14@c(w%`62lFpVB2z5zEGUa
zy&X}=;sVvf<K37r!s7By$G@}&@y_moZ9A25GP!%i&|MIx;=a5Ov#~~>UIU@JS`n*P
zUY{>y@`G2#i2rPv6@F*8y;kB^K(pxP`i+IWxS8MuHi8v=Hnhws?vVq1Hq5p(iU+-t
zCQ^ZWn1~OZsCND<1HZ$0y%#QV!|(MzMY%ys=#}0tO)Zp0<T<9%Ar)>A@|><ZT3KS5
zTK0W<ixgVo{64zQa^b|!L7iS!UJz4!-=$+MiPXds-`?<WL*@I^cVU7S=qQMB*=!+!
z(#87*zdgAT*|R8cG0q&)dxo;@HW2aQqVVXoer~kJUVr{_)C^@Ze*S(eJ*-S*7Z^_C
z!St=u_MskTSZ*&2{W2_$eCN67=bL$vdL;16wN_J@^E_P?S|<)eO@n|GUp`EQKZtFx
zHU)V#Nu%$z7zV|L`DOO;<B_t8*!MaUi0bE+*(HeKkcP<l*argmebBwt-_is{6=rrJ
zreZMbS?gyiA%wM>8JgBj3{3j=X}SrCVfxLec2l-6f<nI)Ja%Fr$*_mA_PZ#W43~B<
zP()F&SnetKhK@rMY-Wx#q9DG0RDLB&3}-vLW;RFAQNOOXu1G`-8x7NcTW=J{o-i``
z2NxYVXWuQ$nv0=Fo^CkpLBN5O1JZogXeiCvCoZ*L3_M~gP7wh_a8P2{rdQK&MD1m+
zLl=u%X^E5*2@;s@6FB&1#u(CmZB_>vEPico*<^D|61j8iI%lpJV{($b{&JN#cCERR
zwtHF%<_(|qR5u!<WPi2W?NtPHx<}MXuaUu<nIrAmGRBDLiK%b+Ou*2y$U4EhvUsUb
z^UreF2%9V-1=ubVv8DQFw4{kV7N<LTm&=WCKqh!k(GCgd`KZ#mx)pHtRC2duh7mln
z9EQHI{6Nz<Bjr@G64>|aO8D<ELb{0+Rmhf=M<!1+R;!U9$?-~|YNHW`4t#NCx=N$j
z$(etFNXGYQ+hJZ$BiwCsD7+XY1Lv2vLb4(%kUBM>AHK;5>kl+4lZs?Pzf>IMPEZB!
zbKQpvF-9mmey9J!cR2|1oS%wNRs&yazU^R+5lkk0zn^wdK=#HbFY1leF&O7K?$mCC
z)x^M@RgH@9Bff|bbfKVL;7DQ;!5DdO8VB~+E2HnfyH2}9sTlj&KYlI37#|vMjn_w#
zu#abT!?qL+B)L@NJRdYh!}ry*JRswbSjpdvTup4k>*?OjG-NeC(vX%>foy;f@8io_
zSnxcNwPk?@@z%i#u{jkS*y|uKcU~Kg>G~06MRc&~*Y3RWQWfv@jWRg*=^!pp);%Va
z0ngq~C6sbC{ILA~bghLh!g{EMFJJ=ykGF&Uj<EXqsB088po`AH;tDApQ^c~zzODA6
z;LPy#h!6I9xZ-naae!(D-&5;*&E%=jr+HWIPtrrT7x7@JfjQ=0bl<)I9~G97mBF)#
zdJrHK1~XP!AnCw#ad)%^^vz!sZ?n|H{j#!;9^RJtEtPF+vZw*|DU~z*4|G8vTbfe{
zXX2XojNU+?Ca$=J9Jn#915$m<LF3(4_=Y0@OF*>07KB@xX!cmw@Z*y<GSa>jiAGyP
z&{n=-u}2f@rX)*Gv(Cp)_Kb?Y7VszS{LQ_6n)sj_;;*8n3FkW&dPXN$IYNHbm#jOQ
zuqD^ZA5Wy>>(@hUdSigNhOe1(uqJXYx;iF3P=|3BtuBCSgR4~=t^Unw;HgIV?vnSa
zi2o_H?~%6+_-HpC{@tPhVsQSY;T19}1r@rMcH7{;Q4#u;aw_tFPxbDgl8_hvuskWr
z21a@jRs16qmj7CRGPO|wA%_f>edBGQlDpsW%O7=Q``VYwhRC9SZlP8@&;~D@7SGu8
zs>A-oSKnqgDLfgfWh7hJz+y;yiv_nDxGm1QyQLGM&1YC}kKYC}C37Bazg1B3?qcM2
zF>&k&r<{7$3H<#b`Rvj(8EPZm#oyivV_=<|d~GHm+%bFR-xvwushk7%m;!k7{8>Ef
zIB{aE;kH|YG9=wy)1|C=F)t?TraEGc{NT8>>=s3&-%KdYdBufYze;<_Ol$O%r0)Ja
zB9BO?gxIrl9GI@ybip>q3UVAiheKuLps?0XW=l3ZJW`ut4}E3A@j^$dOoR+_<i9Ej
z=dj^OPm6H44HLeT1AYR-thp{AuQ6L#vF55%>@+)XiQZb{!v}Xt;+VSs?vaoc>tusm
zx8WHJj6XPJ%T1L4<#WP*z0eiwj%l}a5oZg8B(fD>`a{6L6@e3<M^~&P8r!3sZ<^!g
zP`z2-PjPG-E@ip|u_5QwewAN>=1?l8ti0zF$AfkLp>7=PAm&Pt{A11V>TsgYeWn<`
zRa7q?Xk&-1&~RVbpeg#QPsDhTL~%^yucS~V2bO<?T;q2z#a4kblkva8ctZ=%^?%5T
zKb~cma%xPVwC?E2adBbHCR7c)ddr2Po32J-`X(3`zNKE{BZRxdzi-yb@_<5h<jcRo
zfEP2cVyRmYl8O>B>ao0d+SkTht-%1-%xr={ydXNF|0)cQ@S!4nqe)5`9o}xA3O=nB
zgbTwv(>y`|*P|2EqKxTyGj=2GiIX5ac~?Yr#D%b2Q01-LNW)XQXf$b;AR-eV1atQY
z!#wkG<`;Jw<`#BeY-<+8&Ym8R#0pXLd@h&kn=pp@Yu`)%SqR})RdBM)fEbRX$_7x=
zj3KYRPCaK(2p_g3pYs?OhYlNqOM_~R&B;mrPc92XDgOFIHa`(DLY=26{~4ithZT9v
zQ4#!3b*x)wEdiC{8Oh{CBj|8Ho!xLr6pjT=%`=&jC~dhtUS!15|1@HR{thuTro_8-
zO-ezlB>Sq^v?2EYhzUL{FOGDx1$N6I8GQA;Y~)pKh|&(u*AgGZ(f8`y;rKaOJSsN-
zt#HT?Rb38i{A&m-U(!)sa9JMNtM09+dKrRkMyO`;IuRy)@hNAvDPnf<z^pC95Y08_
zTO4mm;E&JG-_xs=al_^ne=OM$yibo6bGJ$&tR=-~_6iBVtqNQo$r!@r#)4h`k`!Y6
z1(wCj$taY$LibcO1mBMH8c{Yf5Ih^I>)EOTyQwXN!v=<6@W<b*xFU;*19f#>-&CO~
z^{T(p!w~E%df$Cz<&nrWx0#@*j=#Pmmp5h@LTFQvj994x%paA#7W=;*2Wi{zbQ>c5
zdx{&6ixMhk1M=8%sHjU(;90F>1bmv=6vs(I!MkTk=+{7+32*zw0weqn0096043}p(
zmJJw&?U9ka$@Y4!*WRAXh)B{fqOz4yl#DVWO-<5QDWOtC6om%w6Oyc~3Png6kunk)
zpTGC7`#A3VxX$a0$u$TY7?s7V@B@Mt!c+tVgk||tbn!}($t$o+4ibxEoj#6gpqgHH
zscX>1_mi$sTFvrUl56|O8mSJqYoX1_C-vaAVUGUowE`B-j=091(m-@Y-{BrleK2k+
zkH1S-glyMQJ@r^k1cjI1ad9v}A?IKERGAXQ6|1hlwbjBQA!f@QXG0uWuX?`rzB1-^
z&Rr_*U!5m-zV-?=LUa-r<>Yx4Jn-KYUbK#ennjOK92v$S8xGg&`cY7H=IuO(1`RtF
z0u{SDP2hVd$?vFwDyWGa^co==OeNbxIz-H1^EB)u%Ue|_xPMP8%F}|%nXJ5@?&i2#
zwPh*AiHar}VJ83gnwVjgblY;-0{O$Lzc&?A(QxtV;Nl|<=w@G#eOXChC}&f#<1iI<
z7BP=gp^hu3elf7@1q>)Tp=r}p$dr*W)90v&Iu%UWF#sGGJ-RKToeJs1zWbK9DPSDV
za4oU31V;|-*OO!_>i;fZSH7qWRnJJf(rcCoWwR@|$w9^X%;cn2KSewlW4D`Ww?qUM
zehm1jLc;NEdOb}ZKSw-Xto^e(PvNjUah-yFx@MX0SY>hG2iL>@n5^(5&Nw2qNCj1+
zx4r8JB;i9TJvljViNKwFQ_XqGm`dR47XK#-sxsq#r9Mjt_<hk1xuArJ8pXWtdxcPQ
ztyAUEV@p&CW?4NBP=riGX2uNzer%W5cQA{#M9M(+-f}$!NMCZ`*Y4y-r`OqEhqWys
zGjHOo$|w)3BPJtl92_`({!P#9AaHInSwgB+7Rm>eZUnHhz<1F;arr!;{DZyi`^I(1
zu6HX7tzrPD<V;?=9v~k&`XirP8rj!^^||a9i6WJl?8Zj~ZpTeLaUPLCURpA{p5tGF
zqo!@-#;gTY>#iE&s~D(l7h~dlW{J$g!<8?MEx^F97MsQ(ijO8Yx5WBS6S^D|;VlW~
z2+Hw3Yi=bBz4@qLr8-l@`i0IAmO3-Uh-;Zx<O_m%A}8cx;cp_7z1h-)&kVJhMt(K=
z0*H#_G#GpOn@F*eTVdO6iX(4F0^ElAusnOBceBA15y_-K)Ld+W{LPWY+(*`;wkxpX
zpV&09q3^Uq6RQcb??k9Fgz%vGsIpgy;|!5;bX~oow=tT8cyEW?;=-MvGo6Vwv&4oN
zx9;I8BRF`)I(_F`1IHIf_J<#wBm5jq4oJuwL6G8A_N|HoF5A6W^|s6t#Vn2QpPw<r
zrRZNfzT9PpN=&Q6haLZjCQW-v?W_S>zMpgRqqAYXWr|to=_R7Ocz%KwXn@|O(j^)f
z8@4ljU~lPJA?8%W`xkrkG4K0F*Y*S}{F}<E)hLXR;(cqOyj>r%oAj=YQCUGI5*}TL
znDFm7TXRvH9=aw*#mnbeU~09rW^*Sq8aDXfy}3;fpX@f)WlXX_j`6nPxE(8srKBep
zx^>}DdE2XZ4J(SQ`?Dh3*pSIvc&Eo-7YCBXtYjTn!N*f|k~@L}k3`=&ZJW_Sl0q`W
z?m|}Vwz0IA*II+!{u+OiPwOE5dlJtmjSa#=#{K&_xUr^GPc2<e2P@vo#X%q0Ajtc&
zYJ`y&@43v?pVGBqZ$a7rDT^It8(p98Udx9WJ7ymRKW&7t*RZ9ea9}8))=){CAL@$l
zrc}7Kq3-%-iRT(8Mxw1!*X$L*efPd%i5E2dWZF}-;q4ljY!e>pe=3O2tpzmya2iq$
ze<QutapRAz_Gq${Fb;0uwMkT`A)&Ulx%>tXQr*(x+A>8T$0N6%aW&_zl=u%!5Nq+H
zZ18=SsTc+?<u<H~*21#D&X>a{`C#+y`SV9};#dha+BdpR3y)ZIP4klZA!rl%A-h8o
zz2eDRsh>6R{9TIyaa8~g4Jo$mt<rd07N<G$P!q?!9-^XJ5GLPsoVWa12b<l|g?F!N
z;z&Z~VR3e0Xd5W-?+}+m)PVBT*bPnWK1me028f{eA(Qp=MtN)x=i1j;sR`>}&PJAf
zqG04IAWmFVKzrFxQ#OMZ4A&U)96BhDahaMcf?pM3XhJU*+pC4niT#15@{)*PvlyJU
zQHGvLv>5fT7S7dsor<220#TOvzNkb6ucY=ABze$qr)90%kq#N0nDF^UQdDuMvUhV-
z8x7r?uS|vo$>PYz2;$gnDmEYNQ{i2`S8YT;<?$go)I=WYm=afq+=Z1NX8byEFm^ir
z{){{<H>F13Smn{5F3N#>y*gOeId&rTo&st@+ce?^HDO05>O$V?VzSxm)YmtP5Ks9y
z#mPrQ|4MMu&rUtOZZObc8dHK!t-XwG1`XA<JD#0e(T9Lo*YZ{l6>wJz@uhHTWAES4
zTn{@#oZNP>H&mK}&P0ZPMsC{Z+7#P9kY@xnlPGVsRUR$7H*6e<)5gc>#oAvoCTQ>~
zBt8gGp`I2)_8-!QbFtvmsoSRbyNUC%*EcH4S2PSCn`i^Z{Nlf<=D2#&B(37I8idas
zzF5;pgH4E{ELV{Q5}azpj78Nk73ZSSr$WP*PHC1se849o33-8Fb&T-2vd!Gqgnrm7
z4~Cb(P_s=H{ggV6RL(3F-B5?Rj$`Dh?Ut~-99kN>PaRJUXuDJFso=L5nLhB|5{t$>
zJSGzA$g4S5O(RtxbDef#yQvlG{-i(hx~PT<Vts0huo6@|*E1*`w?f*vwO+EVRCETU
zi&*){<F!xNzwO0VaFMxdoHn3}j9=D98R6?tCekfbU1^2zL0=E+1`1M&HYo`0l)#O-
z8rh`BR_Ofh*i)CPg6A1B>iKtsacEXC|KfQooL)XqX#{0BDjB#$?&8Ojje+ZqxL83k
zvMsHyR}nM30v~HNxWJcDc9w<53j4;6RM;I<z+_nA*|!f^Fk&HQ-d}EsYx$k3<1F%c
zbZ4QD&uf`*8RZT;w8Ii7<Bcw}+>{0DjuUfPyJv|3-}ImtGplE4>}q;_SOzwq%X2Ju
zj1vK`zMAWt0}}d86SF@`LVQ?-wMBb?aEa8l|0oAMI1ucp;x3M7o2;_yE8B=8@ne4i
z_7i9yj=jgZ%A=nJ9f3n+IZ-)g<ItR8fiE{S^f$E&L9yssZcN=xdfe@@r?Cy@NL8=j
zlF}-GKTgCa$I1%&H#YC_qswMEy1wNo^&cOcJmZD?!|3#<-R2t;4b5PF=EXVtJG{_o
zt{VA~R7t0w9E|x8X^Pj4OP7Olx!@EPPfC1zLf78+az6K&2@1B%c}mZ(=B&(irbf=2
zbbkMRUnZDL(D8!Xk~4!12j6M;F$Crknn(4e|Jz~=`{S*WUdb$Ye|trHn-!h-5Z7RE
zIM)bw8QDq&A2DIE=A4w(WCO9F+r}EQY={PzTS2^%j5sDg{!KczgXqc|w>IBt2m#ie
zayJrI2!^a|wZ5uu;?SAT`>U%AaMw65pP9Bq_{x8BZV~M#*bPr5zEd)QGGEwU8_R#h
z2bDMRRo-8TFQSG$W~utC+!4x|&Yvd+twMvn%fAyVb>k1dGw8$fTu`Qu?_c70E`PY2
z<QU<?X~X*PkRB9m4&>bSn<HjU5^>uvOb{iJf(;Sly3pDiIhc0;55Zh-XY%RHFGAv&
zZIb+6UAPN|aekouA=J+&b<4O<5lrNW_T6C}Z2#7Ms$+1Lc=MW7ZA5Q|Sf}o0GaRgg
zO?+jIkJ@GlcQv0I_Z0pRsTY$Ydw*+VqS;p6VQQAxTmG#|pYoT;eN*ryb~O)r>q#>;
zt3QOrb6P^X?E(=o7%ll?jW+bfG`UaF{}4{5JuO1V7m3E7t+7{c(%|ct|BMziN0=#J
zHJTV&CS1**2J-9B(6oLrFWurV!7lGnxwV`DuDxzIJpa=|OvvYRCB!`OsiU>$fFKk8
zSZ+w0c&CZF9l3kO_AL<ewwW~_&oDz#a^UG-K26jXKgj5N^N;v%;-&3NX;#ce+B|=-
zLj$3%#=q}wSt4E*U+urp&W26-QFfLO)Ul>fz3LM83ei>AerlnB1GD#eO1PQTvAucQ
zaBe&UrbKU9jXqq1S*OdU5&mjm^gGOZ>=GliE_F(s`pk_u`@zYXmem}*=fF@#GGUWG
z%ZjzxTC8zDX-KoC;#5t-`dxf1(7Km6I6AV*!?!1mhhM28tckJxeG)4|nCAzDw+LWV
z>H>w$akU>u-6^1pvV%9J&ex(_5DO0uUVSh~!J3Q1jsH41;N-x#EO=ZP5&V@u)lN~+
zwx6Lk|K%Da%3QB@-7bm~jz>h4Oex?d*PT*m=Z5_bRj#*=;_!YL;CYmR0=^x?m;Z>Z
z#kW5Ge5r6r{51?sO6XRBn}G`%+Q5gaYxlhDBBi15e4wMbUInM)x4E?_3P7`APVR=R
zEJ_bWw4QHMfzmU#%_*6JsOP_MKIX6-Qa|6X@|jb??|ep%1Os7Ask#TB_#uzJU6PV<
z78HD(tLqE+ErRBI5xc9R6!H4SZMD3D)jhrJv#Z~U!MWMoC`3XTSueggJK3mWs`jOR
zdAkG-?(04CwNnMs90KKGyi{~?e>3b|kOFKAHg341iprjz;dDMV&<6Hk?S^%z|9S7I
zZju`61Vm2eZ&Ak?v1H}+&$6)e{_@#-uLjDky*;bCG;mt|rtxPbd4%(qrMoz5A>CwB
z?LnaydOQQSb;T=yRh06S<0=j633Y6*Mrr7<z0q`hKoPfo$D58H*2d!^AC@VK4({*H
z3@CF{MtxGT<&_OO_?aj5n)8Y-3iSCsW}m5mDxCi|ab5>s6Hybbp^qr%M@ItXRpBH#
zkZ62N7iZu2Yzmn)z_HIpXBy*I`@zZuy>B0NQIW!M)#<$vMt(5&+^tpv_rDP{p<lX)
z|5QBZ|G@;yf?GA?zpG;)abUdhl`bUa=R*p=n_<JC)<6F~4RG058$Pksh3*S#u>70_
zMz_x$xsj!bk-7jai#Q#q%TP91#sVzQR^mNmwNQVXyDr6F8{Hp_?jy(&B9mLoi`}(Q
zTrP0@0~-xlZ@=-Enpq)3YFysdS_`H1^7~@@)Zy73?eKlV3YmL4x2^PQLQJ4S=enmV
zs&^^2NJm>kBvzbaN!5g7=y=8Nd?ok}TstcN-Wp~7*Fs0sHIUY~CE((u9OUg~n2xa9
z;GNaglLHfKU=9Dw+LtAT>a@!&7JN3aXUYCACYp-pQjLy_ZNkuO5AV;Jwnp98bdiMj
z6f_y@S-r7Yi(Q{`cC0VAhVPx}1#cl0Xs`qhdU&#6ZBxDdVIOO#9LA6*l)xYS)vJv8
z5Ai^(=fr=1t#IM@G8+69;8c|rw3F;67WAo{amTFiJd>-S_^ceflg{x}m3GmcdAftm
zSgerc|6tG1k#&e`@+}Ay{YC%w!gFXY$r9=Pwm*(BN`dK3H_>`~j-EHD@}PSeSX>vY
zWcgGKZj0T=Z&8-$R(%gxHR6FW+lo@YOkwQb{^-n&L<X`pPwUC@A^~~2Sb$cg0JepD
zdp)2tlDZR@Dd*V<yh|!AN*Cn=Q<AA~aTF8T^!(jbZb=Jx4hiUz?pz=^_TH1KV<P*r
zGm85S%`t4e$a`#t4VAKMGtR$dBAGd_Pc82<gXL@K&-a#?P~^4rjO7{=892keB6{8w
zwu@tiRiBoL=+0Mc?lw$hg2T68Pisx!*5_*XIQB0Qz|=5P(#uFvTU-mbu$UmCE{|n<
z;}l`oRN^EZ&PX0t_{QL~(HPaLPvveN`ayIu7BMZcFp>&deBoZ#jS%X{lYSz6kXZL}
zZrAxc4CG*?m2}61Ax=bOiq>>?61o>n4ehrukeoUEGMhITuI51ZCKt))#1J_WU?;#p
zUUN?uJ(OpFqU>XyA>7aC*V!cg2zIQ{Usg50pX4z>{Kq}9ZS*$!qo&?7$4XY{_B(T2
z<6>4hn=9qELH;w{%DugVy>5lh`x+U2!+Ow&5%lS78l>NxxO;esoq^<zYS{P9Qx9Y0
zTisI1Fg@6|u0hD2fh--9aNgUg3)`xo-xWqb=>ETg{kZNkkog-+kJ)a~g$_l6-(u|~
zeY8=J`>H%6xi;b8=D>Cx<e%SZlDhjheViraT+~ZOQtRv1lTX}qAaOsMd66<rzk0<l
z^jIVl`T4%LuHt|;!Y37zMSsrFefRUmK6hd!rA~f6TeM#rLSJll<~;dB52Iaq;%v`C
zUf0{hzl}i~N}gL9r;h!lM{K^hrX-M+3^J@36a9~d&+6RrB3=u0*8#?Z=kwUe<vj@p
z*U)GvR_zM@<g`eyI8uAGn~#H3scKz3dQ%Ik5_N3jZp(Da9!s(-hm&01SXlFLKoefg
zFH(OJ3}mJW!zZcTT;z|jGrp5rn)t8r)gjqHMl$Emc*N-qJfwGlWX8i)UrE1}D(jiE
z`Zvbu8Jqprk}T$PQK6&i$QXN`7(2sE_86rY#rE)#nEg`r&P5$<J|ZdyeObv)(fS(Y
zbpqsUC8o2Q)ez!$b<c*MY~&8#y6gJK1j!$g8*^K?s3Gysc4fsI9OS}QzsOcrVY22)
zrpT$UR4DlQusejVAxlRbiu4Ob$Q8{RNBQGa?1)K7mk!`2`PmfTKa3V5W&As4to5lN
z4@EY}oZ%(o)RKB)gC)pVtl0GYRYiaqyV}$~KC)%3<LH}{Qlz!L<YQ`^DxyAyHlBXO
zPs-IqUrKC|Ay*#1RqZ8Jv2==dTY*=QT$H(f@n()JNkn50d!s6DZ&1xYd0L1pX*v|J
zFeOJaFrSGqoL0py;~NGZa;y8<Y>15XR3QI~ms!M_Q^C1|<BCX+C@Cf|^!jFxBFT^%
z9~WFiMVK@hG+HW7mb|g9vkp@xD?TQANN!Za5L-&u<zh+F@!#uM2T=+c<u~3Sx9X8;
z%K5=)mL?BxRy5r8PL(Y8q39lz(LhDtD;5fyEIFQ*eeq$M8o4{}S%9I>YF-OF&0o-$
zBMYmF_vd+NkgekV(iexdaM}J~?XC!UlGvR4u2@Ekw9gRYO#ehfSp61*ZIue7B#XVp
z?;sk<Q<dnvdrTW<Uj<4m_>@SO{*SVW2HK?OaztOLoGwnP+$rqcqfF8t^jx%<&?Zwh
zE%^ON(t~(X#okv{Dx~=dGtbZyI;60#aq?qM11RiDDzN5NC9n9taJ)aOLsDW&h0~uJ
zVlXbrEX|2ZZhOKc6RoF9)*9dB$vkR|s^8jz-BD`fri=6z9%EgSvt+JO(90BG>xo0D
z@#^GJ#VARgMIEx}(^zZ526GII?hO3vu0bZBpIK{mScmj;-E6p|LE!lt!>YU$4bp3b
znP<63oBYtpevK&+IAH2vwkb%HJYK>u6Ov6M2R&k`mTs1yh=xVFUDPC-bVSbH&(|a=
zRdtsng{@%Vo!WYPpC%c@bWlX7SdHx4Cb3<#)Cx0CYWT;PG|89MzSF$>DWvzuQ}IXD
zt+77s^!$Re201x?eVod!M0!aTDz+wAL+91azRaEKWQ~*fw&OSCNEWUBS6%tm*w1ro
zx1NR?nclm^b^Njvsok0TA+>mwYfn}xWSUgTyty;IZf+u^@4G_D(#zI(I`+AB#hOAI
z^jTRu<@1qt-<H-Xcv_?NQ;hFImNNM`vn{vGhMl}Bs4cmR%NnfTw|-w9QzX~iNM(^W
zUZTrn3=MtDx5DwgmZc_I3gqmQB(3bw33|`t+iv}<9!(cX$bA$kN4hKAjCNyuLl4|k
zknrZUB~s&J*Zw`bjvTpUzF(EIhxmE5=!xS-OSszwFduZ3A~~OOC!~b`AkO)pf4=n{
z&|KbpTG&9Gbe8Te5M4V>Y}@YCzPJtW*qV1@-)0d~Ou<h;r1KAP>z>BNw5P;sPpv4u
zep8SPEDpZ4&v~Bc&7#eEzqNqabfka5I({;UWvJp--2xHx#YO+rkU2I#6ZGIL;UVv!
zI^XQTKVmv<#rqPwIplBII|W|kBnw>&9$z{3k66Qb+2WRt8LW+NJ00&}B|Y4da%U9(
z5&QPX-98^+3a{;UB`k-T$a$hA)gpF*XmCE+z@Ke`+vi==#ip0(&LORB^qhG@sO18C
z{eUq7lR4TQZ_d*{m@C_?DgI0FIZNxWry4_xL+`!Hml^u=>^$4HCv!yW=3n75hmBy8
zJ0i&c@E3i}ZkkvH`G?r`l;Zlc*$^{=vi$y&qx4tp<)z%cvxL|@&uce|A>t!sM-TXZ
zrLP?L?@cKGED<AH%gTOw)kAYCvLtjq(K*)YWpDSJA#&`P`X7($W9Rqxdo^ZT>G!rQ
zDqa6DP5itbA|mRlkBU3d*L;%b^h{>umo59Ii7SCWQ<rM=zz`pL)YmbD2oqG4$f8aY
zFZuGrbPe>NuXrrhqq~x@_qpM~$2(1I`n|w+zEBrVYj0-zurv{cQm&&_V$(!tuqK9-
zb+Ogua*O>!2Vv!O_6pC&X(Cv{Dnc|@2Wz=3`rgNO6V_)^y*K7g6V4sCX`CuLsD3GA
z=9AM$<PRpdwyVq#2hxfEvI@0P_<daL{Hp=t;PPm%e8&t?JA8?;R$m*>Xs#|7B!`Fy
z4-Td2`?JLS{qPUI)iikOYghN}{Z7aoS8}&m_2d12ulR;+rQw`NfX-OS2r*r0*|o2I
zj&MmHD9>utLNwdAJ4sAG2(`uw`l@R4gv^#}zt_xb!gujo-jde@(euX8=w|5xu^c^W
z#i^l*eMxd2ULBLfQNEosKKmC5<59_&v^^SlH}i4CQ0F(%s5j?)dG|8$Z{!r^UY<I3
zwdb!3J3mESpWw_Jwr0T05$zhsUuqCsT5;E0nI@QCO5B%=X2i>XzWvuM)ZlWr{nM_q
zvqbg}g@PT8OpvWg8O*y(g_8TaBTNQ!gsNe#t)(>!&M<G8&YM)l<?EvX4$Sj}!Jppd
z-T_wp-rXAdeyb|p2~w_IpIacJ-dTm7d%%t)Bhl*kN(#((roX)+x<pKVemKmU!--(4
zn@j983eJyc{?^{RLPSW2)%v{ULR2!>ubBrb@DJ|1vU83BH`aRW5To#7vG1<NH%%27
zXKo1%b!UR3URO4w4<CZe_!e)yRL1%6+?MS<%(zkIpQq8n58C4#7hxA=7{%rXdnU4i
zHNquf$8JGXm~~Ua=ao<(m@~xa#11=7wxLKNVLW&8Ul1-(LTRgMKbsvVN>2m^rcH~$
z`EeLmd598JRD-(x!?^H4^Yr4oWieF8Z<X{gSAt7p&%&lg9^^l`6|u=!5{s(JZ-V8O
zP&<BWGF6KY`?(}5xb8_qE`xo~TWKYPojyJB<SIXkuMIVQRgi_7j{^T^9VPq{ie`70
z6@;ykqL|+$Iamj<i)05V!Oqy=?DIw;2&BET-yp647v-nT&z~!yN;<oH>4pfrr<ih^
zs}ylB>TT~SLuE8by?w-SSqwzQqp!h<%24|8Nk@KA8G8>l>iCpMfX_EJ^x{qmruG>=
z_IsrQZUfuCf2*F$b%2%P<V*#_`g;l=K2z{-y-Mp+=sKLgTYvVSt2*%Em-z)VDy)k8
zQ!AL|U}sk_N(N~{v_`IHctj01vlQ}X{p9g9mO6cfpn<vJrMvi;1{QV&WeC1kfYH%-
zZNK%}7~=E&_f~-hi?Tz7joXyK5j)2nV4(w@sP>ffWNp-0e>f2LNf|R?SqZGGTtBF;
zFEcN!3&{(2Ll*)l2&QD}OAqQID525#SdSipX}|pr{7{9CgZBFEk$P|`yR5;|Vt^x$
zxQ_e!s$s*_s7iaY9=Mo{MW;uNaJ^&sQWISr6B3q}Y`*AW|4<~?cLh^O<vYrx%xOS0
z!0EMamL5j$|KW|;XO8IM``P1*nz%MPACt_chi9$|;TN9}*gfe{oLZxW-wLLat4aiW
zsk03BQ-FQ&{$1L#G@RA#6dHe{4TFAd)gRNAXwcZv=&VnJ_iplgv=$9rdkQ+nI<1f#
zJ~kRELxb07%*OpC>frtULio`+YrIdEe0c7u7R2>+;!l=PAgl=v8(|yt%*K6>{HTe$
zW|ALx&MD&C!BU?eAvP#~8XWGCuYoul$%79=WMTZt$<sE~23>7BeS7uQ!At|SbxI5)
zx|geGPTRmHYph_yX)0>w<c*F!;D_m5%3zPX4eT})H!?n=;4eGXu+@bP!H@J@3^;6%
zsvfap__;Fb^L2MH>ii+tn8#^PZdoHcYrR}vnIiIjFs6A{HW1-$XYz^^tl`>T&YMvz
zk1b}GlI}8(&|Byd+wNsrp?c(gfZZcm9B|+t6P5c*Pv582GS6>?Ga~}m4<3_7kjlTt
z#1aNlnkHb`e%ul~`bkGe+Qjj>>3(0nBn$bud-#O@Jm8S5TS#*kL4(S-WUnMPGS0@v
zN%H{E@Rd18OHvSO$KELji*S%~hpKZIJ`wouS;(D9X+F3xggo?S=Onpmwb-xpTfoVR
z(_?$}8t{Li<*$wBB>y71CFhqpj@>DlIQNDX{{sL3|Njh^cRbZ!9L8nuz4sp1<=$(r
z+>en^BuzwvXq$;j$S70@C8K1dL?J8WdqUZJ{E)pvvSt7L`+1!|&g=7>^E~e--f7rk
zJ)Qx{g(*kSFdu}h?K?h6CI?_Oo$i^=9R|c~&wb{IiXKdMEFCs>-z2w)jncO(Ga$CO
z`zuYCbYaeUuCyPwO!m%<`ABM~M<uToZgnQ<08Z?AiG<Z}vdMT;!HO$Aie&gZn?9rs
zpa1^Am7e`Yc3ILs@sNui{ffv^jKXO{yi1ggf@~>SHE|>*?FSvg)@*v#?`y#lZqfd!
zaxEr!>CF<|Q#zD#%J#(ZZcUiVFuTvw){n*Ie%vg&MTaD~51YtpXu>;Ow#w-81cr{R
zrn~RYd*59j=StE5$<LW%iA{4@djp>_RU{p%(ozVlqtgI&9I5d~*dnGCd1ETLoeov}
zH26*Hs}7x}6W?>)R<Lug-WSH|(4%iL%s&$TszKJQ&9QUx>)3FbGeb}<J$lOcOzGlv
zHBesBk9bwSfh`Hx40-!8plbOi5r%WBU@<SEWu>)^oj7B+6mH9i4hW<*sCcM?HGSby
zY{o9unkbVqet`+ijmypwcU0i^rL1Sep%h4zmN@w%ni=_i{yAXsbboHq`}Ifp0W=-5
zBA+nNg8mMe)`v-|zzdx+ji`T=C?=FroWhq4NnU%9B>0U4#q`u8!ur(6oWZ!#<rO>9
ze8)E{YfplZ%2cvoG!4pZiW+B$<UrSM4iRT4NzgyKoyfULi%|Sb<*V16C?PG!=JO{a
zc*^<CdflW)59aRZS=Mo(;HOP#?H7oUd(qD-X@>zN|MM6KVdp_AwU*sg0z?R{f3(>3
zo(Y{X&Z^G7&5M{r>t1ja5J2MG^<F0r7Sx-`GNrl6hrV94dJ$kufO|ZD9tPR7A&Rx<
z60hC}pu=XD&Y4dtLndOh%qwC?Q73O*Cb$S8?}t^cQi;mo_}^LW=j|M5QtPRVinR#x
z(VP{ay{rs78Zyc=R9xtilMchni(=?w>X5p&i87oTMCtgW+-RB9eEDC!IJ#@8=5X3T
z8RlvmO!KmNkYE`LN7}jsDj+$0v$Ro$Jg{GUC(DPfz9-bWYDggi_a>j4(aLak=D`cf
zGJcd_rI;QPDvd_;o2^g(*}qTGX!g}>g6QqB!)LBf%Ao4Ni}|~51dyTm<-n&djKVv4
zHwRD1p)KBHPRH1Zz`4$3P%bEnzOe+=eQ1zJ!95v_M+1m({>*>|o<$r@^zxLuo8ge<
zlNWrMj3n@~v(=&(kU$-5x7451D57ir7tHVEkw7r1hS#4UiKyH7M!WTuP)I|K<#TTp
z*ek5w^tY5k2@P!jCBIWf!od<fc6O@JGa~rO*i#w};;B^QR|x1<_V3NG3u+)}vg3O&
zK?c1w_7)F%Mnp`pXPys-sDs8)-AO7;7STC<cYMG=LYtd)lT&pX5c;Sn=xo0n3R{$z
z^K>Gi_}Q|$3<WJn8FxBCoRdd8nODOy;z?+iqw$$ziZ;AvHW2TgQb5De0r7)xNXX8J
zWB#d}E*$fiT9>TFp*nfH>-4ut=pD=JU*$!5@Gn?1xj94;CH$wVS;I|2iZ2+0{u=4S
z<^j?3T>^OYy0+{i;{zh9jz76XSxtsfu@6t?{P1X0;G5x+69HM)em|TW2cS8%^l~#B
zk4kFJ%xd3MLTA=n8?I>@z}aTL#o#nNnq|$j43SbqW{+gQ>Qx%R2dcJK>I-;e)C5+v
ziSp=cf$&>UF$Cuejbz?2MYNKzy~H#lgZeiLZ~qN81oF?hXkUUN@(C;;D9TGAy5{&b
z)31gwP>r3P+}DrN>Q(=V8{(*<_hWoZiy?SOm;Wx*Qb1SRMLX4A2%&k-dwh2FhOi-3
zVdhRHk3#t#pBl>IMTz_-2OB>cLa4^H)A4*+q_N}YTu<OcUW;`pxpxeKAn-OES;!!Y
zeDC4itISB$zsY@qWC+W*_0oS2NFmeFrzfd{Y0w_Les*Zk0GM1VpV(iML=^}AaTCt%
zVTrhGuWJDY;J+8@)4m~&V(E@^-Ys3l4%bjtJQOkjqX6dKO(`+dE%-j!d1Dq+i=+9Y
zmk;n9XVgvODvYY)Y7lSz5XQfi&{}B%Af}&MxbjN?sT4BBoKSDTf^(lm2Nsf{K3ZCD
z*Od<id{I5e;v0w^PQINuJ*W?XfnK6<$~@@4+}zVQ&WN1Jx?6USNgwzN{K7K?xKMW8
z+tKivdNQl+$t`ESgAmg|?(QOSAWApt%7>R*$Y0_LM;$%%fMd_cCE^b&iskQQr*dr}
z-(HQq{$GwR=qyuKMmIB|=9aVNCnp=o&+lqv%*^XR3Xhe%CKUtf)>}7zkoJT8X|q-2
zwYm<dwlNlnJ)%V?*Y$2Ie=a4L$o-1x3DkykiQyM6r>K#5lt4;MXcC!K;KWDw4lNiL
z|MY9*3MHa8mhBs(&cWX1-E-B(X+ib4Lymbl1?m(fh@Gjc#1>p6?RP>n!6O!@I1syw
zNj>w%q1tBb$#zJ5#H0qi`Ap#*CA^Jwww~Io2<yU<+A}%}j%dL18Co))b`ullQ_4vG
z`3p03qd8?!s1Dcu(+%%1{f7zeF3-GS7{LM-?QN8#)FJ9*)Yhf`HLU%dzgV2cIHtGZ
zphSvOgC|8F=<a`A#oqOt)aAN9g;9HD&}cKM0gp>!YFO_IcJs`{+Sd;=n29>~Px%m4
z@DOTYMH(ynIq3K*YV8k(G8C()C{^KArk{d9<1$8YI#0OtaRHN&(}=zhtO6ZTwkIv)
zma!EBcf9VEC2Ytds3U+u1zf5dCt9B^W6Q>~r;ezvV8bJ;D%#IUpnqDd?|b1g<{USk
zaG7@v>$`Z>&QFvCHUlhYf77jCS#E@t&usrNZnZdG<Ne$*r?B?@6tsd>OD$)-k=evN
zr#c@zG9beHysVFG@~hZPp7zYYbKBTUk-_-zTms0_-=0cbS;floWp1{W?qUkle;(|P
zD}zjK^u&$dYuJ>ka=3Xa1#&AfvA!d|@ADFbTatADup*zlBeWEh$l&pJBD13sOy6>7
z9JJiPp0O5{=KE5if%S!R!`XPaFLcD&xN;NY&n~`}%t?bD<rW*s>?%TdRKYDT$8BtM
zhX4ApW?Izvd~r_rj3S&AqJG7yzOVbS{*mZhdNk-gJS|*;gX-m{-TWdHNKy?<Jiala
z&#~ey(GoZy6!$vm>mER2U22_&HuiI$iQR=NRsk$enS{~bp+xiNwF^I9VMA2RX|V$A
z3h*SQzND_53Ozk~GQotN0}XJP$fdrJhd%k@P2S@)h!|-W&2o<uy&6}~dMPgtH<E7(
z)UME?#N*Owj%?hB_@VEVLX8}7__+ODL-gpXSC58pEe{%?5Fl53%E5@Zh{a9`BZ^mT
zdM)&x5Ahd0?Gqu&0bwPn(QTL+jZ@lvG0hi1Q9E<L$h)#28ZGoyNS6)$lAw_B`7MMV
z%<f%`8<quA%?leolkCW!x#!C<D^ZkU`dE9TR~F!EnHGfwC$jx2_cYQ=98GEc_p|zs
zEa)56_u)FY&~b}J=I%ZTq_<tuGAJeo#Y$hFEZpTmF)kmR?$}A8phlO8S}!>;$Q3;*
zWx|JOPU%P5uSp|)&F8@%7UiI#`<%43h5&jWfBsfhmMlsy*^{+Ol7}4mmu6{4g-}wc
z!tdMO@`zQ0(S>kN0SZR4`P0Kh(5of09skofRIv4!)ie$V#iw6mEPupM$A9zeJ%{jU
z#S{N%cTo}KE)FeM=t!U;8<j(T2bEFZMc(oDcqI^UoSET>l0-3A2BY@`h)9*nhh;g6
z0CH{bBve+UkkbIKdmJkX{dwFUeQbdUN$T=$<&H9F>B!YDvnwQ&&MoMrWTFBlwY5}?
zeX?jOvr~7aN(GfE-}76mR|RQ$&ML;^@@UO-Q1yhnDoQG82}<-+hp%Sdi^T5==yLJ}
z<LX6Kl*4h^Ex=Y2ZbY!h`$#CF>A+sLAKGeYfHlu$(N-J6Gxf{jT<~a8*^A?`z8d;e
z`|I6LFI{MIKNV;FSP6B1GvAh4S4F2)H*@V04uT^bp_lYgM$P>H6%N^}B3!XO$95?h
zlv)=4jVKaOq>9-yXLl7eTWP;JHv+(%xpA=K6#*sR`?Ha%PC{?e14XJ^4S;LW{=Gmc
z0hzHnxl>#rpkqO5*QQboK?2IxZ66a*Y}Alr=c*#=V)Xf0V{Qb+Rq8EwsR+n^o9`2!
zwmhn2(`6>s89};K#ScwoWmMI#uKdqN8s%!y%Tx&%gNNM4(Fs;1bg<BD!9GA7W&ZR0
z!FkXaPT0HY4SZ5WQCo|x>L~(9{FxrlF%4sAuPG?W7QmtH8^^8)HF6?moQ8TPqcPm$
z-cu7hCyy9UTm*Al2ITK%CJ~5?z*l|K^GJ{^YOGr1(Ym&SJ)+5X%yTe;thC>~SfVtd
zuMqKG8koc)F1DMt&l<veyOs09xss^Wckzq(i+Zv#r5k1AO+zS^xmSI^Q5@yp42%WE
zd2(V|Jxla&1L#b4rPKN&g6h1>)m#<-k%gmKSLqxLU~ZZyFul*2-7m!CZY=JSZ?25n
z@D2bZS_`pJ3-O`H_S$b_#|{96&_4%c1F)WxC*?}Tjkxdls!9e^!Ti;`t*HfMXr5wU
zzAVRq7<hZMje@BGU%z>Y8PkWC8<)Ii*;vq5fp-^{>1kl1xhmSZ;~>xyzqbsT(xc{r
zt%em64V-%SYN>uv5B@~_-Fvr6g*1llnJ)^^0HFpAtqJHskWRvBYjz6sc=0sHP&YLc
zYSk>bAJGNw{?J83sSPal<K^T>cd3C~UUU6Jhz|G;8Xlz_Tf&k$CNBtbQA1h3bPr{%
zHq?)WtYFDASZ`8+-M5caP;%>0^Av|R9OckDMfy05NtIE2=dz%Jle-TG8!u@AntOL`
zn%IJsy*BAA+MxtF?Hxw-Qcbv^#_3}y=tl0?-O7DaNeM?XmFT|kX~LUBQd^0Wjb!B`
zg~W$%C_ynJkNx*u4X{+T_QrI7k-vrVtO&fMgs%oqs2-20!xa84OWu_+GR+9n>a~xQ
zAo=$Ym*sJFaG1_lU;HvnesQo}etm!v_O4mD(p0O#^y4nphcEw-#U|bJX9!eqj7D_#
zp{^QOetY-k3-==V()U$nNTmWshf}5*#j3FVc;0qdf0;bAa>ji?of`hFHKm-;QiaM^
zarT}Qt7IABkhtvG{dvvVNWX6?VBTSGPknBkJb}fR=2X)F{Pgt~JgfpU4xz>O&u@_5
z2P*f`R?@<g%W?S%T_o`7_v)><yhToWT%F7|K?e^#L%s4{NU%%Iy47=ghb*9<l4(m|
zfID;?&#QNdz~m)kAMj$2oN{0{x;&K;?lBf|_$Cmch;Q!-*AxZ3)Et_$GGGSUkRQZl
zo&EE&zx^I@P=abp8o`f+6|9`8tf~+Jv<+7SKkw_rX?m7vgPI*u?KyoZcnNT}cKB!f
zYii)MDAwo_=78Jwy@yo2l_93W=(sf<EfiQA3@#tz1nYPMZ>~`#xVrO4d^wyB254HR
zc~ZE*OTp%BfUOcl=85sX!81UG5WgWG8xIVg@@@zn#)G5A2tNETBjBhlPfWe$g&H`-
zcjY!7o^yETZFDn(s}ZO3gX8>gNwE9HTR}Xysy3|{PO?HJyPiOcydZ?EE8<q$6oGy8
ztA}G0J5)UC7|53uhAN+sBOb|$-~t!MSE@Mxzpbg?dQ=qLPxOTN`zr#?sSx%cPA;e+
zZdd48io>~wR{djl6@glmyD9rFH_-Z*Y(m7o+bywswmesa_Y}NVtGhfvC19fyJRk}A
zj@h20^@`B-CO9lVg%5tJQ3NL#OM~k0d@)fD4;r{Jm9+~3;GA{H$qSQ#7`H3hu+JwB
zTx-Q{AOy2aWlsr5<v`ZpYVw|g66j7B5iQ6f!0UhY@$i&9tP9uN&ofpAr(nhr8hbI|
zmFVv~{R{`QI#kxRmk40Jw-U?WC=OkwMLC1ocz9&%ta;`<5n96cTBOz`z%_nDlx9o`
z<d>F{OO;7L$uS(4uOtPL-eKl00R$Mw1be?os6gS3x96#EN<&Yz$-5&#MEF{uyjr2H
z3iK}qWpCukz)xn8eoi$KoZP@Z+T2kC*;kP<T5GcKqrXaKp`HZGH|68fdevd!(%y$m
zb$PhXV&U+StO5_*<zdTS6Iwru=+0eH0NmSiXM4j`z`Nj7U;3UFRD4R0Kk^s{Z~1*r
zdcIWw7K$qk5yd(nn6tre6QKy^x(@_m{Z$}Wh$mO|z8)wArrTOy#Y51Q^C9M9Dqykq
z^TC{fK2Sd^sZ9`2f}hT}U7a70z^t6Z{md2_co%FoEMt{GCq3R)`1O8o&pb0B+63Sq
zXCyt^t_1Oa@Yf1y3D6`R5PkBo0dV9Ef6s4Kg1$tvJm;Hum{w=fWl=B$$*^3Fzz8J}
z&0_hR_(%aR4t!iZlVu1|8p|&Wsg$5hA)9f;O%`HuOmS2UM!@vW9Ioi$L2vric(92S
z+?XDG_@9vxr1m=f!09SN&lYKFM_L@r?iG2&*ck!!!5q(5bU5hP8%QM`5d`8fRkdtu
zBal3~Mfo#J9vU-8;mKES$Qg-#KZZBj=Wvg*DCK?bbN%+Q%83nnEzQm9<_+PQW4SO*
zvJBKNn?CY-MhjWpBDQ+ThERS{fVW{!3dC1J`pH{6<hy+I?<fu$!qF<Btm5;MK>T=z
z`Gwsg*~ZR1#kJi4zA`5s39J?eB7bv7txG@Ic8k`*^r8VgCI1Okx+)5->TLrJ|2|_q
zA|@t@a{w<r^xWjG3BhT>2R)fJ{n#&t1+@n6{T>=wkBg7thsjjGWvjp`Ot0zmWYPfu
zX_=1u%`-e8mk^cwcJL2IlY78CNtg^1pFbNjcyhtxkqHU0odqmYdfV{4u0Al{KS5Qe
z!~uc-Zk#+JwS?`Gl-KWFI0&VLWxTNlD~MKU|1^qS!X#m4-t~zdv@vu|aeFa>l?j`l
z^t~mlgOPUrBBl!*pF&@fIp{z#LALGC_9E7MD^ZHPp#zV;w({4}Q$t<N>4S;tix{V|
zyh@w44)krUV3Q{gKpy*vN*D41)_>%UaC3k*%v9`lWDM?*(`Q`p3pVpuefq7#V@+CM
z(QSHIB5i{#`QM^fk>DIA_Tlg6a&ax_60gXFnN>3VYOITR&u`3ULgXxiuO<*%!nZ9m
zm&lc(4L=X3O<@I8%SC?O8c=^?^Q}hGU-DlTlP|uHCorXU+tyAk4d`P2f-`tGLncOk
zid2Xi!?54%uB~s>K{3UTTK~)>IeLbWjIa@GN2{eri%A{AdAPSuB#x4AQPdu=5FEy`
z9FFMp-&KQL+J7bmXpkIS_-IeoZ~*JvII!|`UKPx<{|3ER>?P;=5<juN@5Ao6RgTCw
ztHNs);+=Y%PO`gKukRVB9!$O4Fx!7b1=el*cD;zLWZQsU^J>p-jO9fs{_X`8puNON
z*+8fxfAQtcw`%Xicr+>|)<#Jn>h{r<Zmp7Bmncl}{9XsP`7AZM_X-L4&&>2C2$zu!
zWXc&RueW2VygSu&OGKEj|8(i{=RC4ogi*0(QXBS-b}#kHgZ*5)Tb{7fnM&SrIJeBs
z)P{9M3cnp^A;L48#fa|z0?2u?ZPaaFTCpv@rBC%hfb!D^l;b`}W8;keQ|d9TSgl`V
zan^NZxcO_cb2T*`6RQqr3Vqj#onO~6gCr&3EYEkFa{G)$bWX-3&$eP`<!GlI+ws6p
zr~T+YR)9VHWtA~^p$(J1+VS`=3m$Z~ebWa5zhbXwGW{RYv}0L^dmmO<D#8;%En5cu
z3e3iUt%s?%9U~eGdga98pv~5(hV|%otS<APT-UD-%$FfiCt*kdR+T1N@ex%RSf!aX
zvUXvjT!C|r1O*Vj**ad`{sXh6=zRWgf6qS6aa}V(@{o7`Y(jxzEhh5Ag^$SGgDu}!
z^kE;6gS+<Er60Vm$BcQ8QkMMc#q_LNUli-eLG4hHjE8Cy#`#UM_|wEM%=AW^Ms<=b
z48P17>|ScY%p2;;FDegWCtP@og{WjfnqoOC)T0d>7}pwdvmeG1+c$^PZ^}Tpx<-U8
zLkITiRqC}zwIdjHgAKK5zclE`TzKkI*@>n0C}noojbUp{>4JYPrNM*gyslenH|D$g
zE($L+fyI0|zZ~*I3Iy`+WQKq0!ERm}mz`yt!a`a&Z)}pKfX>tTq{>_$CS6{IUnBg+
zoVfXl^eQBw+3Z`h?Zp9%dao<4C2|%M4!fB{21&@9?nyRa9L54|_bStf^O(P?qw&TM
z33!;86LmRs1k)}VJCpNd0qbQhr*}Li0ZHp>r>Paju<6n3ue#)yus(NE?cIKHnB*+A
zb6Xq75-2*g`4^Y5wC7jsjBbj<nDF3rx8+GJzQMh3{~u%Fg1D3)2gHFA)O#&teq#nZ
zJtpr2{$Vv!7Iso<Vo)t}_s>}LEOy0LrA;ej6FX_cof2?E6dv?FD9a_!W7KpX=c843
zuy7gq;@{aKP`1umyqvIrS^EhEQ}R-vUMgaD#i}q&$J25f>Mvo({u{|XTXp~yc}N)h
z9~OoN9bJsbx`GY4Rk)fzqe20#m&ICBg+Pq!S#>7c8g^L3E2AZb231H3<pk63`?B#t
z4PMiK*y$TIm6zJ+(6;yA(D%NA@W*wB-T&JrruB1eh{1vpX~sTdd9p45_7!a5q24=~
z+YD!o0}Bh1DcO425hMT}eS;<BgA^!LUD>OinH|YkPtS&l3qW~zI#>Dh0hCNdNnKIS
zfdoTlUTd`SL(QV2vQ#A%3bN`Ot4QEND<#658*%&)`0cNmX)_I)ug|MD`^bad9y9v!
z{x(0<=~<6o<)lY{dh?t4m-$fT#+Pqfp8OE>DDF8amJtcxbr<BgBZ#WB+cLhq;0HS=
zYUj^3EQoV6?U#(+eh<6*lDU1HAC$aPT{G3#(U`d&`Gu4?63a@-?{F3X+NGmTBjX&X
zabzOivRMK}ww&5rlobT=tUKf-#DzLND$0aYq|gm52jwdyAs7w2Eo9KhgSJJq(o7R%
zPzr8at|V3%*w3h(Wn$z<*V((o2;byTTtHXG<V8^swfWvb@)JZf!b@!3bU1{QK_SOa
zi$k~YcJ{KI2)dp4>6GIgJQ~&eMV-F?KBdA526Z&z$fal3&x@9TG>$7dTSQ0!f6EV@
z`4|a=&n)xDcN5Wz3vUyj7sx=?U|ZeMgHnj+;vqU=WfinniSydCl!s=mw~4p*_WSJV
zEg7MQs>sUWOTtwbMVKo!O%d;wMbzvp&F6orA^W|8%DeOgu&q{o!(1khzVI}B<(*SU
z^smpG*d~#{H|>0oT?P(W`5%*v7|}pRJmu9}TdJ^^WIgX0hDU)v+}m27YoZ!ObFK5Q
zH2{2z75<)8MyHwk$~b2=QP$M=!(~3&AQ|Ps=YD{QG?Q%>KXq%OAY8D$rLP{ehA~%|
zmlBcG=}nRGLz*Zq)iX!?5gD%evPYh?Affs8;jvzV26Eul>8dd>0993s#Na#<n*ANG
zay(8AWvuP0Ol24XEnDNL;1CG~WG%?+KU6`XN_5X#2aUj!I#71Fm4rsbY}1lhh^UeA
z4L)<g7-XB{Zk7a-5T)vX!>vy^6u|RYZSLhEkW{Ukrrjo@AwEOgWjYx|w`JBeN^b(0
z&G&d>b%_W7RY0o0vc0LOhD6bnglOk1$po6VLQ`m7D5ICwmHB~|+=y;25Ni}Lf!)Tc
zut^s@@;fPfUfQ1q=~tPm$u=B<rbw{`DoPw$@bv7J4H(0kKUKVsv_1rrt=3v;zH+GO
zB7KDg-x68PMk%zp+!)weJq$xerO~CN_O@_yYJd-MjdyvBVbnVX-)SL<Jl=N8v9q#(
z3w=5p$=L|xUS}ps$B3aDxs=yCTRGq$)3)c~B15=rr>Or238L`BJr@otbHlJeZ^js-
zAz*(smWgV-=v(Ddp<@FNq|k6OnY$Q(VNp@-%QX%(Q=WV%yp0!hWfxBw?{l&_Z&;zV
zAT#QqxIV9QnGZh84N5*f2>U!;neDwqjf`ST!Xh*H;Ja0%nuHq}+$`h_jV89SE{{!m
zt!zH<d3&>|!ABpwWA&tc<QB0*(b;3OPx+w2PxoPZ%t6?u(<{Rq`Y=(01w|G+KG>1S
zsAIwO;DSV0gFkZ(xx3#n{j4}2SafpPUD?ouE+^HPCuNglO4q*ir&GM(Li^N&XrK#|
z{qlJ7`Vv_oFm-^Ygcl@5J0h9mbYKUkfhX2(kZH}P!&P4L0yk?=UDvWUqzw54@XqX!
zT?Cba7{hpBDSU$A<vDE#K2TbbUP=jFpUbk&NAUt>lSyJkvle`{D2ulR8ej}$B*=W`
zh0+BdS|Kwn&`oLm&>KYum!3?|zMJF)(e<F<&IV1G->5mVQ^)}Ke~XkBX!1ej2b25P
zPHRHxGfu{q5+=wI{;#Yml@GdIDzAK+)&S;0!cfFp79g#4*we}LLw8u($)^uB;A@8`
zb<Q0&2v}*n8C1g${{sL3|Njh^c{r496vmN#AI38FeP-;&*q6D75+xLcP?l8I#3zI-
zr6f^NNwSto5haPJq-c{=NGeH`%9cIx&A;cm-t#`sbC%zIvyVs43#u7IevEs^La`|H
zQ?`0Zr;wo89T4sC(g;si-H<jtNI<UJ)wm2d8Hgzl=0_bcLgl9e*6Rbsa4Mr{=nzvD
z^J>!<UYQu7_>Ew9k%KtiKFCVVTPugu7?OJJ0v!+P@>{)VMC43q#GCAt2hV4z^rNkG
zlwFv1@l%$7h(*qh$^r#g`lu>B&7(u)Heu&RX-Tm86nYRx6*02OCuM0L9W%=s5t-6b
z2;Q%dT~@9H>w8g=_qNk9e13b4fvPmlZM*Kc+g};aoYf+4xY8l<WA(J083~<Q1^%IA
z6-WlR<sM<hzx8-$4sMmf{K4<9j!diIhSin>E37<4iIQbc(`E5HS=nWMyDA>WWSVxz
z(P7Hx_@%W)4u{T0y__yqLnYCu^l1qlMmCEVf_N1Wve}oqBS9UyA6$*Id+B(nP~Z2>
zLlI6nJ#>PH2Hf5Br=BSoK|yE#{r#Rwh~Vp(SY<#)wwZ$=XS5NbEfgC<_?5v~A0E}Y
zih@|8Mq1tnBRGBXzpvb^j5L8s{=63y%q;b#UEgGkGYVU0^rKV|`%T)9aD)nv?|t^N
zea2Yp(`4|KtO{*!r`_jtHF0l)@zjpJCYZjvyV;~q6(<ijUU6#H#6)=a#S2oV*yf?;
zFnmM}KORsxO%1e=WZ7rC?YSvPE4N+->Z)UR#SdyssunnOB)-;Xn8EkAzV`exb@1J8
zyp>j|g?q1-S7@&0Xg*ys(6Chl$}PE0`>V82F=1cYrfh+@^A;2L`ZO@y5ty}+m8Y?M
zi`kzk3vjYOEhO2K!Eg=sp_8>xz5bf-vldI7|Mg@@vX~6D-n6^51)A9X&E~S~aVs>j
zJy~8eK!(M}W$uNqR6KYcLOQ>}8WTeFFJ;^m#Ji|2bgWR2lv&zIWMd$j$M#<xfdY@>
zD`F+nWTZYE{;#x{0o{hDm6zEl=oB^|c5K(csK#l}aS5Qtdi<Nq8#0<hiE{lZ>S&by
z*pTiFY}>iyzBYr5m(g$4HK=OXKe0oVk^tNf%+c%CAfrgM^Jc&k6?g?b=vsRo5Wj!r
z@MHxmZ_>N_&3?+*LI_%UeI1}_<v&&=Y2c;E3GGo1CDfR=93j;Jw+5apdi|%4pj&&_
z=K9GardXBy;tF7JQTg$o`)V*>=u6)<C<9WVj@m#j>%XZTMFA_Ss7Y{Q&pIg$@p$LD
zq<z5T^-D%{V^!#JK1^zjmc+R;+K$ssfFH$ux^I^XT)19QJ#&Z<*S&WjM-iZqXZIJK
zRR%_@WCDJPVWKO3#ODnIc`ICR54S5JAnxBoLJ9$Uo^EIm@nN7_Y4+sNMMZGeEp+p`
zh{AhrG&b{-H5glCw0A}*AU6C{(t%20(9#1oj(A#w-+yQO`B^z+B+UukQWb*e-M?y6
zomM#0BIXrzLKY*A8*a}m3P2`kLyOfKE6A2>!Ur<&vHp8jTuT6Y%<Bi_>n)L9W-JuI
zOG5R(_N-Ue`0+uHvUpw75{m56ci;Yy!n?AyS|-u_h<xWK)N{cC{3iVQ$G=Hp<McDq
zKoTq7OO^8xvp`^K{=&b%5;(S{MUn8BAAZgw%ung&_{>Y)YONyy^KF0Z`>X{Jz1eQ%
zBfB~7{E51$97lwEKe<)$y8sy1$Y#$H&G1<6uz}rYaaaUd7Utg*gp%8*eQf_saj0vb
zjoNl`bUCs~chw8QX+w;ESCT1O{np-)ofiW&zWkj?pD?yt)#e}NHpS_wbsrC06$3Nx
z_GXHRC}yYJe+Qp5!NH@C^a~=zaA1j2Noo<rvwK3~ca=<FL%Cn`c#{~2%7-MQ(g@gi
zd!Fk~tuf|*lEmE|#ISlUn3vyE49*)z`6@OTqvWVKqhYfc^kvi@e76+GXo33v4?m57
zBb3bG7*;&9ymGYx5pKK_q50WHNc?*1?rfzPDzqbC{AVnIBJcHPR%S+M8=C51Ul4=9
zs`lq2j*{TntTUqWgO0r-LlZV0;*i@u+)Ij<f`!xetlA<vD%(z29(pbgM=#FTM{h_Y
zF8q1fP9Hjga^|lUZz95gSaYUwi3GDDx_*NS9W}8&oGHJF_|!sTeDjvY`=Ec{tR@Wc
zq&wuXRDlGhmz3K>JLS-15W|)I#1OU19Q@wfB$09se2(r4V9HYFJ<AP2Am3hNOP505
z+1+`oCl%4PqIYoX2}2}?@jbaKFO6;Ml<PiqD8YZFW|vo*Avi@Q`_IXcptH_Xw7XIn
zS?hbPj1C)uD)IDuiKYx>!hX&+<*FcA&cg9Ujv*e7aR}|&Ad6ke>s{hfRgtq}R!r!I
zA&PyUj;u?S!?%sW@)^-;7@40o9qBbhgi3lxP`f-7xY#vUg{nh=k2lRuj1Fd>q(i2H
zBG$DX*}FeL1MMmnS$y7f*ahYN%wQ^kS*sE7&x4E-n$w4wIy$Hc2YMG4lpxs|m&NNq
zfq>!I>Z__o*l*j$Yj;N(ul(xD4(U;0n=D$GUdpOtfOtVqj0zldOt_x&XhQfXVeFcr
zF{B=5zkY0{iaO^w&)OH7IId^;v%T9G>|xp0-z=&kEGHuAR;(7XYEuW~j+x-=3qH+=
zdNoAv6zX5*(uO@Tq|V*h6z`V}<Qw;>!zw0A^l7*@(jUFwk)dpc<f!|1vgI|v*DQ21
zy;2+5Yb1`yu9#uZpRY$wH*4Ti{)sb=P1+c<lID0kWDbFso7Q<alQHpPa6l?w8++xq
zCST~Vz&S#h%gz^MD3+f4&zh+Xt_NG+>aq4fmh<ZW{-aUgGd}8HU!#S<5L=;=0xNVM
zSFcGsK*7$3S6lslX~J#&p!Lu`Yk2TW-W0E*z~Jw?FLKjVB&YrwnP)OUa=*AlzfZxh
zgTl``UQ%$o!n0p@fq{-RL#?K23Wx<(Wwc~6<lRCt>5i;@{@>cquBjAwe)XWHiEH4V
z>t3pM7NElA@g|AR;>cm{B9W77*!FnA%k?3UmTX^iv7N=Q;|hdA4prFtItucB1D2WX
zdVfI1+24%1@x97$sJ1hpEdaKBQvOcG8u;vXpVzNb5$CQ+m6|UDyeafhjZt+(|0ebl
zKFA^BBLfT5fP7faAtx1e#I~6ko+HS>?!1Z4g-?LX(YFUX9o1NRrqdzsfD~d5LjBY|
zp!z@xM@yJ0(q@V>Pf{h&RKGG4cmjC!QoBd~s0xM-+g{_B5{L0i;r-QKK%tP<N?EBg
z23{6V_1P1^cy!_J3X2!_*@Q(OHYuS?h+~6xq6ltC?wC8-#6V$<)vv_{MVy{+P3QY1
z2sm`yY@#vX6jV<6&eBC58#x%}J^UDNdvm*|#2VYJ?e7-`$zkS%yybTzK2)c9mwyqo
z#<QlZ+_M9$`&@9{!&v6Q^ZW|A%xG491L-jd5hOH8Xx$Ul;K8V=VvprVOC)qP*PF{q
zqgl)^c4HYg1h!t(ms(>9w$*Pz8kEF)z4ohdq1=!sYn|n)vH<nSJ^Rkb61Z*YJl`72
zjWIh<$w$%_D86ChT=IkntG^K%UJtmTu<*@uD9s!^dshs@hs3c{s*y9$k_Ve~|GfA-
z!|LbWk>(Bsafsf^OcopA!GPa~N@9>1o>=+Ht3`{!GW1>V=|)~W+ipd8{n-??P4=XU
zVU~WDb9a-f<3l1}^S3QqO%YxYKbsawfc(y%Y8T(|;{>r?a-i1)y+`Ue-bfKp!$nAu
z5fg--gYi^}7i%65HqBjsCklnWU3-WTLO8fmI`eAK7%ufCUZ&SX@j9;DzU!AT`1Xvb
z7ls>y`+mRZ)w7})pNo1bwptV_Gsz;hD@Higv1GqCUle1edTVr*2{<pnm9da(g!b!n
z{-~Rx2-&7-EF~<4S3y#49QsD^<Fbt^|163xX1<1Q0^*o_-<o%+lMV~@lY{$M-=B_r
z8hM;Vgp5#EFg=Ej6FE2JPsgzCTXP`zpqT_t1%_GktFiQO?Z@LUz7TMbEtAR>DvA5z
zC4pHzhA7(Pd4b(m4E^8CNy9Z#&>y&(ZFI^I8U^g8dQ)NuRce1RB|rja<t@8|Zie7n
z$lV=~Cyu`q--Mz4EI(qQ>Mx*Zh;@P2I2u`ec_tn5aMOw`&ipp?iJGFJH0CM1S^gr|
z;e|%oIeF~3G8-55iiYDIgGLdYlAvo|Ql52CMA>ow?4CLrE;ardm06O+zU{f`yy;4)
zZ~C)2=_(C#^y5o=d8NT=Ig?Ntt&9*^^97$PG)%^oAKObMfj{l@PfC~yI79wiimjzV
zrC!8+e47k%CU!cPvF4BQH09pc4jL|KGCv=?A`Ab-PkJ|4ywLn7ispG5t}7L!mvG5L
zratvy*g<uecee;>85+VjNbj{lv;quoSorMC)xh}%E#I|ChM4~m`>AtA5zQ)AqSr5x
z5!y*4D||9U?CCqxZ7oVr7>--<y+y$nF0Ib9E_8TG``r9<LK)Q#Eu%7bsql`ETeq`^
z4u`G3MPCP~AeH^sm5Lfoe3ztp|Bf_5(_CL(Ad44V%eFuC&uYQtMRqq?)fi@%`@CI5
z)WBxEa@ROO8#irhx-v$L@gS_uux(Hcr=5JIdxdpiQ~Gl7d$S2j!d)%TRjXrhj5fuQ
zqXSdr$iMEFP2sjBLen%_0}-B4ZqL8#;9k?}BKblysA`#3Jk=)Sa`flvE<Rn<ihKyT
zRAi2zlG0ixOP>$yUN_!6p##a@$=S5a76|5DGnTf4f>m<+yKbJ-!7Hzy>Uq_ckgUF>
za;~3($Fd0ptsFY|V3#zceA@~>Rs45em{9R$Yt#5vZEbw9KL3k&!y2pO*WI3uq(WqQ
z^2kn-7Tio?Px$09(6XaKDE}B0*)G*F!LO*;qd#`x0!v1{e``S2NTwq9gN2;q77A1@
zT<CB-34A<lvc%y+MP*{B>(4tHkh|(8r~eU%7rH-s?JosogloT#t*C(!V(Zf*#l+7z
z#rf-pC@8&c)}X|CZ|PehyOO|!9H-ib6Tiu@33a9%k5I-SA5EC(&P4TAktdC2WNZq!
zA35x&i1b~V^{U=XJWLBVwh7ZfXvXH-;FUw%j6JE%g^4{vztt-<)$!!nJ=^s|(r7B_
znoTxl!hdFic58te^!k{?;E==+&zS@n5!QK-QM;v76>_V3r~QLjTo{dWNbU!mDpc78
zOI2VuxqX1nntRpfr;nBu1I7kY{FcSa;9fW=FyJf<{=b5Tem*SUH0hJjRm}1c`W5X4
zi~KCTC2AW%1hiahf5kW{;&9umCZ;(r#CRr4Dzg}%>8J$X4V4EZXC`^LxnXptQuo;y
zi{nL2g$gCIcpG-Zp=u*1`rLy9g4bI^^fc+B>o^G$nIo%HL|4K1xJ!_CxfKR(5_v?n
zN<&5O_|gp{4m_6bY!+j;Lev@W5UsD0Ad!Ls`fJ%i<M+H<?QMymWvyea$0XqVGwV=t
zDmw@scXFf}EZ~~u=d;<32(?eoeD!kKacYOk>=cRBZ_)O5-m&y_+X1f&^#knKtG2MQ
zHNhPDRk7CHtHtp4pyGEUUk)ri=6&#M&<wXb#ebd)Az(Iih{`Lt3d3&Wj<+4nAn=vD
zM!Q-R1bOAcr=M1VsCehe<_1%wmgG`m2rS)iH~h);EhngqOru3DQ#@nP;|t|Pz;=kf
zqWFUgg{Q|2+e%DOAXh>XTrZ4N7pX-vSsu6)a{GLgHNl66&s~SF34w>>l#p}~FX|&Z
zIKA_YQ9H&>{%a|OsRJ_tyj^_2xxn24^2SKy@V8jABna6v>#($00J@D+iISI$uvO?I
zZFWQuv)-LL(KCW*wE1<Yz`zJRLGNc1mjy9g&|wf(BaFunnR`_p(Xk`aEH2wx2#J5L
zjFqktg=k}-UB4$CUQ4kXR4)tRjX>8{FB<}?Qj#LMXAKc<X&4e~A`I=Or07r1EFb!S
z$9UwdA*x3oxr>hr<J)7ErZs!SVN1zU>SP$gGdN(N@udjXyp%uIR6;~(v+5PaF&ZTK
zn(y5U5(WRZs;q?X5-2{D_tB<|hJ)=#l-IHm(DJ)?N5g6<h?k34-q}t==v<IfeFXtt
zhd6pK-jRmtIA@li8V$}>=d=BS#9+Js{Tf#r8PKmg_YY4PAVMz4`x2|}d-E0w?|hR5
z|MX!uwl)J;?o-_`sYZnL&Vk^}Qh5Z1j`3?<Ho(qn-&^WbB+w?@Va$kA#I=ak5t~jK
zp!-NFhrh8T#1})ue%301Dz&sa;iv)5dC?M_eWlP5kb89Wt};HQZF$&!+yEV|t7n^w
zr7_oY<S5^B6<}gt?%rb7d5#TiY@H)Pj-Q<5IHHOr!qL@jEd~g`aO#>-pe%%YoHm&X
zsbl8rM_=t(1FWJ1+&J@H4nviK%m#A}9OiKTEM!T;Lhe>Y_7nvSZLNzD4kN?K;m@z0
z(=_O~nC?iERKnl1N$1PO6wFC5_YHFzqF<7;$!$gndCSFzq+U~TMsBbvBEt~cpG&!p
zeNaYSvv?ZEf+i$uxK8XL(~*C9Gp|RR3aHvabCP1(Fq*i<bD*D&(B<Iuk#(xDKkaWT
zEun*`+4U*6uNuL^?nAs#xf;4R<m_Eq(1F!U6CBPm#`@Vq&)%I<hfqOttZKb3tg5u*
zvX7d;dsH@HDpmtDQS#t5J3X|dQy=foGlh@HAsWGrjC;omwT27yP;6GVcHoW~Cazgb
zBq~y%8Ktyo=%yYH5ue>P`)ZC(?vvGPx+&nY+gv7}s)xO8#n(rPmf#a?klPhS#hq`e
zf2Fzg(E8{qGr-OYCS|s7gr=xq>kuUITj?T>ZBoQH!WvPsttZ}X(1g+{n%jDc4i0ZW
z`De{B2HtM584@|D3C&H(%nL8HSo8hv)zh_rH`nb}u53+YbDkQLp=n}Pi+4`9k)`u>
zs@ioTG~us65&sat@+CXpY7NOTp;Jw8bJ5U*z{yWZwtF;C_cL*(Hkb+CgFf$bZ&E?g
zTX9qlP{Vue#FO@AOkl-Rc%Kv%Pln5KN}W`|+flrv`-BO}fOf4y4^~|XuM}OOg!hAs
zI=ye0EMGag<;H%N|NO7&>%I&*{M@inJoY6M-JUHcms2$mo;LI*vQrv-Wy|^fwM-CK
zEtcBHsKcq}47XK)1lBt)AF|A3;@+zatKB{<ebYy@COe5Ci$k@BYYP+HEy>B^7OH3>
z6YB?cMIa=&D!iJ=glJJN@sflJuFgJmXi4Em%DbwN^Ur_*EhWmINhQQMhej!!<i-qf
zVRAAKSo#?07j#7tDG~A>CtX+J%$GW_aE2Xu`CTJP^0=7Vo!s5X21`|!yuB=rcQo7~
zOGn6J_28}PivRvGw#fUmn+{pS_0c;O-$W7={Bk#TCoD3;qAz(==~|;#U`^Rrg%r4$
z4z=Ck^9(9q<5+B*6-EQJ3O_DNU{049-=I0iU>4v1(ev06L#E}<9^piErIp;BIW^13
z?tLp>$LgQ*K$EjAT;ee0=Z{&+oMn7|{#~PSrv)ChoV5A;fB@q3v~L#s9OF6DbDh^c
zb6m5~d-SJJ6t}iLiEi(oV<>fB*BO#9hr@Bt_D(Aixb$}$2@5YU+8=CbJQ8Jw4#!H;
z(*r{I-D#TLdt{NZS1&(j$2(JOw>24g`A-1<O(n)gGnN>M{y3j$VG6?e;g(x>_;FV{
z%k_cwGQ*Ci>JMMJ3En%6=B>TT2SWj+;9qKNI2N(DdXQ*>YdU-zf?o0B2rWZ3+<_e)
znJ3T4rW>Q0`R}+AnHT-S{avq9Iq((Q<OY_%aNp8!<9a0za(8k4eAKxLJ1*sDJ&8Ah
zS*-5n6TUns?3#2tW5|UBX7Jd$B|2226H3on@nE7{!i{>J8zlWPTaOevWK$;!Mr?TS
z<1(?d$ATB}q^bB-0(2yVOW6Mo=Ygo@azx+|AFhS{-njdmA=d0{nvZ<IgR8{G(aFmK
z@N@n?dR5yH-`8)&8Dm~_%~jNlrVGJ$KKJ*ZRvNZTNH(>1@`BSrw1+K21n1uSHOKqY
z@U`tDS4S2fI5t*n5$O?y;7I653KtDKj{SUFAHk2gDDz?6B?35i)ZcWiGJyF;;iQp$
z0;pNmwOck4N21r!zm7hvef~7RW~D?BJ(Y9<^)L}HRus+q#0)UMMbrDoln@@sJu>qh
zlfYy8)o1%(=_A-b|8#q>2wFAntl1bLh3y`*p^tL(p``C26Q3rEw@Mz&^FkyT$=1*K
z`syQflw(_bFaaY!t?oW(lR=6cQB~GhALYer*(QN39nx<%Em16o>fz>u9tnN4+4uMz
z+b53xQn6DNXB9x^OpqyH(}(2=y0B{z5%aAjug|zE;ph!3y4tuNM%$-jd<P^Tv$v!?
zFiIJ3>GQvZ=k?IALU|BoF2&l{$YL*2!Q%O-o;@P^*xx(ZDp(~AcDes_8sDqpUwziY
z07HE|KTQ(Pv5>(@uS;U?D(cuYx8}fwAbnJR4D4h7DhqL9&zoQSH1OrH*psPS`Vh|+
zJM*JV9^wzKF1EZS<Mo3k^>su8Bo@@UJ0vRN43*Q8YD&e!6{qhRnFhEJ`JUr;of6DH
zA4zpB&_tNe<F$tsXfSiWX!@aE87~L8E}H$-LdCbAt-a4_aJ|{OVE;%3(h_EBDI0Wf
z=+=pmmeYpVnB1<C_eK?(1Fr0`8M+wD%-*$-KnJI;9pmn>8nSa@zf!K~VTLp`6P99x
zEgAL3BlGI`_RpfbeS<zCGe*vemm1@WqOC_67a1vka<`;j*T?iL%eu0D6EHO5-I{nP
zXs|r?&wG@0PoJ2bAv$K5edvEFc!7e9v4)s-b^~m^UUWt?+Z=Pt4SEr8sVL&S_-g65
zJ}z~v42t}<KtyAd@AgxgNRjUziMytcwGA%nA9h<|*?PJ3n>Nd*ZKCKLG-bWJZSj7c
zSJvp>!Ca&kY9almCMUm^9=^l>>MAk7y0L&^@I?#KsnIWsGj!1N+}f+I3aA&n_uP6)
z3kG@PJI(U7VAtFeFJi{Ts>}brslU>~?6y+Ztld<6e9xGqRx;5^+c%LMqlMKDulve*
z$XFWg8YJ`Dprk%l^2skv7*}ac#~f3`9Tm-8f%Y~?t_~V9VsWlQ(N<*(uL{-@)}|f}
zvw^JngX@<Zsi^p|D{fFl5q||v+x{18gSE!18?<dGNVsyNT5gXF9#=7hMM7+#el_W5
zGl>lS(D4F$QAx-y$~N+{^53^4wLR!lhh1r(%v+Ke_{O$49u>2JR)4)$ai$syo*X2s
z))PXP`nc717S}>T*t_D5RpBJ{-?XPZ55g|~_aZEjiNrZ$hYz2W@y6G2yTuYa>P44-
zsj4xtcDUa-`Ir(?*OXCqr~YMVrp@Trw*pc%dp75!D&U!-WouB~G~?dpeac~eKzFO^
z-OVgN#u;v_Ci-rSaYJxeK!2VA$2jq;zEvc6k;CW7gToBXM)FT5Z3fZ}H*Hgllfpz-
z(3=XAFN`DUyW_X{S>q&CA|@e30#fXh#PEeahBhTJ^>>~X-uzZil{_Mjzgw=TN;h{i
zu6G>`7kO(5JIg)Y`(6-miuaAg73w?2p7j|$G2)gmb>Nd&Yat4Kjna4H4euB$RTGC!
zxm%$9a!4Q7B_S9!IP>mb)yv@eBISFw*c==a;(HyG1@POPQunU>1A~0M#65q^3>h@L
zth^Ck82gpYU(z06Y%J2rIm<Ld?Z@Ky`+vB>&UPwLWqgovEvzjy;hZVribT^lFu7n$
zVs5ruHOy!`ndqlGYl8NC+W3R#t3a6Dc5#FI4~9QwQ)8C932dk-QCG7#V6NBtI`-2q
z#(1$$^noU0{5`Jlqa}?UuO_%YYS>RO_`2#JekL2^N$|g4yp?Qlbl-Jp)^Lj99U10&
z_KXqw%kNCJva!Kw<IKhT2GfkRC@=Bjd`4Jzcvqy}-(|+`mYmu5%vpwX@zulElj%tR
zc|~s-%Z%@le1yutc}5LCjsM$UL*(W+{Hl5Rk73VuI`UA_B4cg2=@K>G5IT(ZHSGoe
z819tN!O*ECh6>euIC7Z=Vb5UGq>6uxP{(u!lK%>0znROe#xxqn<@C<I{_~Hanz2aO
zwZMiLWr-zD0u6~8MzqL%%Zx+W-VRsYI54ogKHQC^^UdWJC{OfP82T$}qEU}mVPR8?
z$8AFch>a<n8W&}8`tEV+1t%`_xSeu0d#(@fEdIw07unEy&@0b`Rfobe&Gdzx`gr@t
zCw<bD9gLpd(eyfAtll&GM}kKm{{sL3|Nj)3cRbba8^(?7JrbG6KF7g1#~%4y2Q5j+
zC@C39lR`<P(pR)gW>H#-G-!}=K1q_Kl#vo4M9ALb=lAdP$Nk)|>-F6Cb-iCtun@IX
zT$KlEPny-luL`5I_Y^bC(-2Y5jbAnL^J0JFfhUpKqL@th?O~c@fG5ueI{ZWzA+@Rx
zg-zm+T0;{a=QqG1d5SbIlMjyzol=LcNy2h#Lc@l=`Y?TDKD^-oKQ6~iH{b1%!X5(;
zNlGgnTd8#-E1Lzt-WY85%2@^(Vn+`z+e$~k>LTI6okA!*vhiq4tt^7GKL4of)x&y?
zMb3pPA_&RuvvG)!ga4AZo=Wk0$QE_hHJcGdjId64gpE8H7x~KH80n!ZxtD6mF9ET+
zfVG~~r8uo!^(B3f1|F(U^pA!9I9zS}q^*>Yr+(r`)f*b3B%-TY>ZIV!&U=s+t^&dM
z9agRPX;4xXJz1zNgUS;@>ck#3G-t?Odi#)uldo<n_b1BYGtW6`|ECntE=jL!_(X#@
zmu>p6iX6Is_a<+Y(ST7Rui;-wJzSo-`$YQv5-d}G>QEA=iJ1J`FI*1l;h#2rqido9
zUQTX17A3BYZ#g1Sbpmw!y(@Ij<A@@zc{i-PdRGS*Jo9B9zoX+s==Mt%r<5VAm_H=o
zN`<nneMQ7eeH7mG_TBVM6?vs)nrry=@Jaj`hW{EsymnV=5*Gz$AMYq#$Dt#TVxrow
z&%o%NtK1_->hQKPzpNZ?0P~}cBISZiq-E}OHVD<g39dBFui^|`y({;EBgn#*U^}I?
z#hUOo2+?(~XMkoldwGkY5x6&5NO=otL+=6ip7sPLI)B`k6^}MX!0Q9U&h9#R+L6@g
zLt)|2@>moNm|)`Fq9^lLbn(40@}tOQ7RsH^SNohaL!MM~f_fblJe>*Kcp6z?nz}_j
zx3a(nPJ({)1P$45;!NARSXj=xe`g<`6*k=GmZQw-fg)D<Dzk`%q;n4LnLn)Yd@?e)
zu8|J$Em_0cR<kg7_pgfLBO7EK&vU!}pFR}zI;<j-m{2?$lNM_Uuzix21Wo8;_(z1_
zw`&Yo<&Iv<7GuM=BYyi;Jp*Wlzia0HX@F0>2OOD|Y}kn2|5&rs0M~o%8Rz8aaN&DW
zP`bkw$@_Xd&CB#5w$yg16+aavNy{9MciG~Khr{DWU46WGo$<Kmy%zqNOVLij4pZlM
z8znl@Q5b)^ukffk{v=56mk+Z;Y0Q#eA58QBxk{_87gW%_^O8ektR3bhtn&wZsaW*v
zw8ocEdCY0j!ix6U;g7-%$1jI<A?r}wRr^&MZ;8|U)a>l=%kXnqXRkISTCc6YlOlqW
z>t~}L%-Etqb=Qx(4qDLc4f2kt<3YJg^1!8=wun@ClEHIL1HZPel_;tiBh+$^F<)ET
zB7XLbdD{>Lsg(&jOI16FLnoudZdbAK;?mvcBWu-gVQ}E^qnbO!>A8!;Qyy%X3KcvP
z+M^5y(X#C-%|AF22`yPA%|L-O&*gu9OA$LVUXpaYn`2aZt;RGEsQ2FemUChW_PIDK
z`u`i?5FzV6OEeScj811+H^?H~#Y$7CVwe-+sZp3YVgr4pGx2hprI8f4eL&;PD2FFo
zXe>s`2KP=#2CrHoi940&9P`4*I1!Iik3^U(L(SjyLbbx8@JN+t5`I3$G2mR9Zro~(
zH^2D4@j42^b_@N2#Njc{J5S5>>_jVEu`EwX?OTMMaaV+cIz~A=Z^<0U|7Z#Aih}k3
zy1AkAr!~b+W|VV(n*ZVhaZ3!nUB7%w_#Ba@G9aL!G{Uizu*qb5SfEQKGr}}~k~qVf
zyRlDtnB#lm>44}hbEHp2hGs{N5+R*M1@{*Xankljye=3w1Dr4K5q~#GM48Ww70eEB
zRyj@9G&`H&{tAxQ7QsGZvBfW=488%*)msggHV;i9d^_Idvr`wbM?f?=*uI}*Te*e*
zl(Z@MO(`35R<{wlq`#@y!(PsuLaoU0NE6sN{gb`$_6PAR#AU|G`7dXi>#i+*oyK4&
z?Y$ErQcDacj_SGT^>A+grNyUt8bdeiY~s3@N}`Cb{pLe<H^+9D&C`ulMqv7Se)8mc
zMab2P=r<?+;cPLT=-^v!gxwCXS=N$COw`Z3x<mQHiKllOMZRWXh0^I24wvt6$ju!J
zK|NiZtj-UH$!r$-hXT)>-SLu>*+*;h=<DK$IU9Oezh&a?ocCfXS2^c#w#$zP)IXdf
zDFshm9GTeE`X=S3;YZGxmwHWO<{u8d!+hVXg*|j}Lx*$qa1Ez<*wf^kV>gFZVVWHj
zz<`&~SI210I!;e)!s;$o4@ZF~&L^tJ5LCO?7d7VJI1&DVz7ei}IUjf@_}rxp(Ud~j
zc-ZC#hbF>z&ij5Z$3SRmy%`Lkpm6TInr$<uYHQy|JKKKF-OGZJJYo6(&)MY4>|dO!
zjQgI1$N=Z(in$-Dd35mP^$7@Av~fg>4U!hg4RR7zM%w&Z@GoK8&ttmZ+c^)cU2+}l
zhBzOGO~gu>day})Q5JfkgX5xboxLV$n8R2j{!%ZBhORWrMm66q4tt6I`8(pHoMh_L
z<q}m?sOu;dg}HQdS}Zi%cI1z74w=|h`BSLa`DXF1uYrF#dj%Lj<xWg+X!ln6YDek9
z&0lnD?VUbOgzB2u+>=wB)Ba~?yqa_{_N7)RccE{Gwf$<juV*-w4beGbwmOJ$+Wujc
z&md=-D3jAQo9EQ;-8j2GPkUj%Y0Ib73~~OIU$*HQ<07Sfva6j`w9&RA{3<PQgcBF{
z>dkmK4|(L7voAeK3qfSDcDvdb=SpD2%N0tC$Z%8137WJP%-6LIj`B@#jGD{_3i|lS
zpvsc*D@mFdG+?SsC`@tkVm<0&`vu6``~i=<R5el5@^V$T?+hnH#ouU~hA^2Q`EBIl
zV+|bDTcu{xKF8syckKzkC`yhol`au$G_e2lEuYaEE>bObmGuf62~t~Ea`a`NI)+*+
zEKJ>b$esSSKYN!*k+*JVit?wcBj<><MfV&pY3udU)%BS)NuhnuU+1C@BdxftZD06E
zxnVDv(r8)ol!H{Y^kQ`k?hV$luM;5soC~uW_Q{dLzR|u4T@;K+y6%e+7AC8gr8GGu
z%afa3*1bIYo`RU&Mn{|vijvpk|C}4>UrKJ}3TPMMP~bMumG)dsg8cPPw=z6Nne1oH
z8$7L~U{817$S9u_x!lX}%tI|T@@b3b_vHf=%*Gd}X<U;gdB)R+e&$d}rtFq>J!5s0
zC6?q|*dj~*eRi&6ud@dE;dGcl<`s3k?)K)bUm-`%=FaS#l+z*|br`je=o+BW4|chE
z$&-#RUcbVeHu>NYS8`y#27c`Q=_`I^DLK?LlJjd3l}yv1ZFu@e6MolrEAJFmCjAVO
z&vfeOk#8oQC{dc)kjsxt?YpZ=8WdZS9)9{{7Nd*4C07TMlGRxQmK3sD|8-2(eM3@A
zT+k)rBo$7~7ry(RtCQ;VbB6`y7^L7*uf(=eJ#6}x-kHBrlN{8~{w+^okv<bm+W!I#
z@O{R6i|ijQGMim|+}hNLq#eAWboLbkj3?{z*C*<b+84_Bd0ECJ-_6?0FUMF|`^LS-
z$(Bk|`fm45@tcsZzu!AM9Ak_`A+NiQe`(}oyZwIZ9TQUbZlbBh6I0k!&aW&wK__3m
z`I`N2-h>oT*>(7yoCRDm>ayzR^~w1f?k|CSrsSc<ED`^7D;R4;hZi{+l4&2@60~zn
z$myUDdExptaJ1yHr!g7iy&aCL?K+J~X}u-OUU&oJ<-Zjqk{RTIy#ulOg+^pm>%Y{n
zOKixq-d%a{i9wPtQ@iK1Sfp94DF5di+l5@XY}%%gL2j0h(0{j#K_;YZ-|{-m4slKA
z&niA*kQ+V~@X@Jsa$I|?qQu=EtG(&#)!i5*Wkb%o%y=F0;Flj<UEk~>eA9a9!g)io
z`pFe_uNrmoXUZw1G|F<YhpjlIssZVCY{<<iM2S?(`A>B-YdHdI#461L>16MNhTy$l
zWk><JuxYx~a!BM*uYcT6BZDlGYR)SOlC;ln`rOLx5&HAf!;K!gq)llqzo*tH=lzgo
zkkKZ4GzG+63883{TgRr48C1O>oF*C33XOJnkVkX$XxAXu_833OavUMd6V@yXUuB1+
z$+|;p?or6p9pZLM$GKtKs!_TAku9!IhYoF?Q6UApHXrAu2*5J7Z-6Cdi{DvkJ3rPg
zB^Uj>(4b@|g0JD(BH~Bb_>dktKh-5i>dGEEtxFTfJ%><{^F2UCN&fG$Wiq6*P~qez
zVM$azy_&afGf+MA?^4GT33A9QG(0C`fdf*e7F#?ZAi9pefjlBaRve)>rgTZ-rQy?l
zzlGfB-|t~fH1LvYhbGVU&Pd`=$hQ;q<T7x&9IH(B&vI&vwR~#&CGo_5qeN4)HKu+m
z^q5$TaBi;(UPb>Pi8kW{+{cBiAu|`$p4{5Sd3LH#Tyo*w2rrh|8^Q{9nNAHxQeQX^
z4$E5_?2$yOgxi^GM=kLzF-25H;x%FHsPANJD~ZKf+2OPg7FcoRl)S3pFQTjOO!+>F
zBx-(VW?oXUz_AyN^De)8h+dCgyKCZ-7$3~+)QmL8pio$i*NP#ccJ`v^V^K-`I>(H0
z{Aq@!*at0D*<(cinfm$<%96-E;<)SLN;9l#oxePNcZx8I+RccyThO5+$uhan6eS%}
zLRy>V2-Udjom?@J5Rxc4znEc)=j!hZ)VsK#B6psnStE(Sinz*_JQL7*G_B6Z^MHHb
z+XoqzQm9(xCfLX{!L!RL`)<lFLivo-iP>T)<XiA0jTakZ^}~}M*E0BEx9n*5J9lZk
zlPsvSbu@;+OeEV*SpaeNKJL+iGU$}Kp7*8A2){d<nN3#(ao<NU>PD>$T-hO>pJI%_
zmog>hOc92^!t>O!7qT$%&&%1TVT9PHodorv2zYMfe~v6(jE9vQ-|$wmu(fW|B+Eez
zV<JT#0~+LTB=a~|TMP?dOK*7H8yAOFfz1VN33<pWSgeh*VBzesWQj>{NhI}@d;9t;
zKy)epZO>^Y7}>f%4mwCdqI%-=z1pRq=xe@~C}$$W<f};ka%lt@Wd4otSHjC;@%jzv
zOvG8l_kUmD-hu~xtCS^G(3e~c?n6w}-nSt$cFV%Qr2hVm@2W^A(#MDVnAkI6V7V`S
zF;0x!4)ktSgMs3k6UG}C>fhM?Cg6u0{*0<zf8S0)nDh$kZf_>utXVqi%8*A&f4z9y
zusZGwvDY{UGZA?_acf<g0*JBpn0QG|eEIfEz4RgzPXj5BjpY?lsc7y)G1tPXLGA3^
zg*>+9?HUD-TqVq!cpr!e(#BOcYH*w=3qr?ohi|#6pnuEI$=jJa2rS(0{Bb)A>#F%V
zQT%Es7*5_cSg(szck7_uZ!DCAyotBzRfDe9w(eJ=G`x=a)urdVkQ+b0JiMZjf<(U%
zT9~CCl4k={lDLg=?Tv6{^#^qXr*aX|8|m;m^Dw*Sg)u%TC>dUOt%39%QKW;PKFqG9
zdhne!!M1A`$DTjegrZ7WRhXjz!c3BO-8yKBlQGqc+jF$=;!n83u(%;uW)r=u4w+%+
z^Pl(BQnay$F|$AXx*;rXwroFr-W;i0#%<;f>Y(^*fXB~qL+}PGz5o5p0_pc|@Lpe~
z3&k0WMZ5SJuwGAcU+=NRZtW`PPF^bfgucBy{>>0JTGF0vn$`$W9eQ;A78Ua^59u3w
z7((sysimK{EW;VCw69fKG>o0(R7jjKK<W|0vd<T6@YnF*$DhY(=&b8qb<tlRGTMsL
zgZTu0f3%wCE2N=)Y5vcuNj<n%+nPVv0+d;5heVaqAiX+%$<}o=$X_k^7*Y$gzT5Tj
z>2(@n1tPtKLUeJaWdF({Gd7%7?EaJBN<)0LI<0qyHpHFV{8q-Xu}Nm~6dI`*<JJ~R
zan!_S^V65hO4vAP5Oh4&j0%I<XSqE(>X;7W_W1mZjoH*9JF|Vd$o8t}<QGvxolCgz
zXfGROi-W6dPU|3c=cl1p{7Sej?Dt>%Z#LM)aV5;t+8DVXx?Is*9y(W^X&-sd20_tz
zD|%21xi0_h?OvGEYwu3=F*DiFVFdF1cGE;+!07PWbSdmA+*@R{ZGpSX$7eEV8sG~*
z-EUhc2A*@)aq<*4p7=yli)SfVA(A#~$}5DE>7=Xsf)3kW%xBTRs-eG1nG+z%ht;Yy
zrq(fF$LeFbp<7hpelns%p^h8w+I#7dRG@IYY|S5<G7d-XPtW;pjyPR(^ml&-0SC$<
zVz-ncW?wt~E4?^HytiuA?dY(9^Ls{sr<?+QZ?R8y%pE6|uhugjrrUr!HDUW}>m_i#
zzOKsa;V5yE)tvi0Y#AEzm9p=|Ek@xL+l&`cBgD_KpQYPNtg-m-jaJD~8T8&rwd@%g
zCUz?C(P$U8#<$D=G7&G0_Z_}7cV~u)DjO%~axW{Wx;~PwBc#x?w`am^q0ZM2zK<dw
zSYprif%$=@k|-ARYToKIN|;BUpS0t*#GgUM<Ifr5z!I^w?nz@r<A%ljYy2!wcA{F%
zdXFfy|DLl7mz*H%6E?ZtDK*Eus=BbrA7MNWVeS_wpCqO>+eL2GF-KcoX}evf5Y`;q
zK<~|)CU~cYWuh;bA@@Mdu)rBX96ppBwXSrQNW5%nJ2Ptv(Iov?^9KUhaNd;aGe1vc
z{Z4oK8ElHg;u6myZUI!Bjn{}}axcu0`+2oa6TA|X(8`JB$7#XM9i9hxU?=YIxnipc
zZYbH7?_=`g$@G4^_-bCHs4U;r)MAW3|1R*93-aTYS+U)WB_GzDN@NE58>7dz_2eS~
zegxdg&s+S89|=5G>;r#|5Zc=E@FJZbdW+PZuXzZf-S>N=dV~>tf5o4n9N@=;Y>Vj<
zAz{=nPDO%{5pJ3Z-3V^yhq&Nae)l&Kn1||cs;{x|_+wc{Yp4LubeUajEEmI!-Nknl
zD;DS>8q1kFg78?&dUK*)0(b7dwJ-j`!~xrbr8{N?aqwBd(Nla<xcjwS<<~JLvYO8O
z{T>s-TZL7D|BR%eJY+D@rq6`?v5D9AvLbMLxBG`)gbbSA-l1y$Vql}(lv|jGC}N+x
z`SI1tVpYQOIps74ganG!GD^ho#Od*@{c1T(bZ%#^-^hSv_tR|}P7(;Z^Kvw=aS7V8
zT64Bh7%1y*9(0P8#KzU{h6m#mQ0O<%s`A?qtvY4uoncb&)%^T8%T*D<8qP86QVp@<
z(z#1-qokpG+tp9OMj74&|9VGXL!25Jk8ZmngW3bVP1_w*!Qz!QSi?5Nt=!I3!>_W?
zsvUg0<fR(M*95))XlV%JiW`O(HRSM~*GQOL@TpSEiiF$FhM1nR@~J+%1a2+MJH9Gv
z;5vJ{X5>FZ<eVJ-eneUUM-qi8NBlLxnO~GbZ#Kl5uc6OI9xugI{m5^}A}tipMl3&W
zz(Dy~yAsN7CCJ;2T8Js?pgUn}r%5aWVe#vwBA|kpCGS_={7)CVT**4Ke+)2H2WHyj
z)WH2gpVc}-#h2G-+fIcsQFh6tgkOPz;L$Z1KK^=WGx*^nvzP@!ZM#2ROC1i+pWXJZ
zq{DTlIy3YO3;zw*RIaelz!Y05Et_J1q0oTF<~$<^x76>?a@EA`l2b3Ud<;=5&;Hhy
zZH#{Ey6WmZTDZ6G+4l$53}ns8Y0yX$-2U`IHzQ6P8YdmzhdyRt(bda$EJsbjU?#s?
zoT`JH#6y7=0VZ<n=hm9pn?ofgjeY8>F8+pouOls(XgFhAl6ThvPln#VEjUYspyTWK
zU2G<*H?KT-Sjh^cf7V!M01ce8>VoD=nRuvYTwkAJ4Y3tx$GsKxpeh|=F7=v$OMT4g
z6H+$t=-KRaK1UDd&cv=7F=k+BXP=3E41w9&$Q##1=`eY$Qh2@J0OM{IN=CbYEQ)1)
zg*6>7rJRj@<@FJh9=2;GKN~O0k9ifE(Q(A9_qXi`4Yl^+%W;N{-8<?UJErw8`Q3h9
zTB0soY_@9cnPg*6^bButf*x*#EAGt^)`r*l>-lbLZ1F@U+B2=4hVTt%xuk<NaL6=r
zbJI~<yblpQ@l=e4K-s(bqV;O{ry}RNI^7nJ8!gqU#i$q(?qb*8R>GenRu7fZY#|}H
z{`k8d9W<3VTIBy-0yT@!O<!Yd5i*w%YjIy2^oaCH&tw^_WU=2Rx!9uWA&>9OMlG1v
z-gXVzErEY6>iNH=Y>`wECreIiKzhe<^`dM+sQ69IuPtLEVZMm@EL9zudzY0jZsS2s
z;EjI9ZZ@or`W$jKqkv0ZG_GD}hIn*h{>x=iHX_zOzq9;>DvaN|`zUW3A)fP4r=;!z
z6HG0iL(0l{_Q?N&R!}c75ya|w4?v|rYF)&&rPv+1c=1yHc0z1lfJyx$0>|TqB(s*w
zqippso9gwA$Zb$Ei}+=OjE^__Z_3CaYRum?d*CCXWO#kGyR;2n{5MxxC?bo7=4VyC
zzNN&+SL4s0uUv*Un_|~S18Eq3|8Gz=x`?Rf&mBB?%o?nT7pJGAB(XZ+y4%fn&xy{j
zw|2^tR?yyXLhfRZ7>)|Q*9m&?ir`o4lKIJNg^aRzt_->eLbL}AkH0M=8iK}`H9J~j
z6?5jthL?hfqsF~(;rd9pTHP>Sa>W9*VshNUN&L9P?NH<v{gv<;J*c&>-yG?y<4ueU
z7NNv~`R;~#BjJ+FGgZ05999owmA*^z!eqj$HE?+gp~*A#VeY0G`Uag1QtokMPesdP
z(e^eX?eOXN4n8y77#BVFHi8QYTmgM<D?5pert7eAw<!d!pJR*+&k-R*&GIo7-Gtu7
zzwxFGCg5DV^Ox#6ON??Ewtx2PBM#Rk*=$~6f}Yih<!Os%2shbt^7l>+5J5S-zaAAC
zV`o=D<nBe&#Cp-Dl6xUTL}uvrhw@BgtP3xVI=g0yxNjR%xM<r50k6zwG53uCE$fK9
z+DYPD<e~=Uonr*i?fa%y&j<sV(M#A@CJCv=znghtCx`}{<Q>8fSy;V<f#`+vFKOKe
zoC~Iio?G<AOH5fvESJ6G@@0~!(Du^Mnx7$3Or=<(BoiwxwuJaCn<6~)6bdDF%@eYt
zU-#Zz$As3j$4TxVQ-p~)!Ob_vwZIFl%35s<gq(Q%PbX)ZFcuZic(I8Gcj9^qk4G@z
zw{2@maLx>oKE~EPRl|!vHo>PVr5UL7zWYL~X_i=b?Pd6BKR(pgxA1EC8Djsd0<mgh
zo|qWicvwhU0MCz{3i)%#0MXA?yiV@of|;#OQCzzq!cLpHGe-2W$L#&lW*2TO{}a|&
z@?98Z^$FX(9Q5(!%>7WR8xJ=4bcNiV7RA1SV`<Iz=-}MAxW6Zq7fqW_wuL)LVAGuJ
zG8Y*-qO@id{^T!$y^i;`%8rG1y4U8{_LF+h52b9U%kU%R^of)@wlsuq-<+7^*Mnx6
z;!fTa0dQpH$%<kbd<?%Cu9irH>eyk|NeH1xC|yO<V=>6>W@|<CX(;}Zx1&Ku1gjHv
zHHFG7LEUbev~@idK8aEx*QCY3w#}8YACpJ1C?(~<1u9Bp)b5{v1Ux@;y_Mirgnz^K
z^Pe|UF(B}wGvu=*0+Kq8P)(J=v&)(L6{vXMTeC7rQ5x>0H{V=IQN^dN^GtbbDx~!T
zI(Eg%;GK}`>lhgd9)&mUH(I|CSO+rn?+7i1=3ZOfoBP$l%-h-0l0b#hp3!699?GFb
zbWGZ+TLUfc>aHL7O+~wTaEjkSd0Z|lSeA1@3wI?0^P0BPFskFB?&7-?RyjM*#VF|D
zmBVFLjDjA9j=sBRwpR%U7VTSN@o9nMRHJ(B=k*Xf6!#x@rV5&p#lq(n^t%6DG%r|H
zAE7JmKW#dw2G-E@UpGHG{5ur41syd2Q}}iL%|{ft?RcU5g=K&-BfWexSq4~d!`YX|
z)v=NL@}atELvVtr>yyNp;9m5K6nD_X+9pS@oNo+#HMsXGj>%fsBdue>x3r)wS|%BI
zgNf3nmqw09jIiOSj$=Q!4vw7V=_zn!!6tEudGUxbc6&(`9QW2m^Oy{5ezE@lAL{<*
zk|_?>RQ+hbPetmW-ZmE72;w^p9*?azN1tb~^VJ?2tOn>?yLK62%Iv{68q*TP&NGpA
z3x2ox&+MlnPb1Vc@B6q$%^CtZhoo8r^x+U%Eh;w0g8OcV$|zYI{Kqf8b<bCQ$Zg>F
zb=|~*iTmZBSLX-}40&C;xXl3XKj<}dFL1a`RoFSjF2GZXddc;f0r-o2U2?!cXh~4d
z_98ZfqlS0XaSR~;*n91VJbh%ho}d@(wMEeF$AjZX4AA?j)&EWm4SJ3ia^qZfIK5R}
zDt}lX(G^`g8{~A5n-dwnY_}c0SM-+XQS?FXC_Gx8q=BfjeIr8;?4Xe<clEd!9sdIW
z0RR6CS9dtpe-yQeviE##ug&|~<9n@=?4m&`BT^)hNK0h=WEGK7R46mM(Dy@;8QCMF
z$V}NX`}Obr<38s(=RWtGqe<Tv%_vNOt2@u5W}1y4eBzq9X`L+W6<a^~{e%ywbK2AC
zkrA*^SA~8)NQA0@di|vU4hT1#(QHpNf`r6=Wye?2z)*A|ws4jS{KYF9URfJ~?)OAy
z_f<*w6Udj#YDNXyHnM^)>xO{1)k>ySC4iHMi>gg$6<cCAYKo0E1hW8_*j{fjpa4HW
zz`s~i<&>Qs!pv_Q&}s4-!gYe)Oh+*RqMR8^Ho`h_lSJsvNH>5~x+9I>{|bTZJ`PWF
z(kwo?UqeKZU;r;D1$$#Y@Pl@9U47ZkGR_z@By=+i;9;auV^bLqoHh7il9sxGi?XRW
zx=R6w<*^^7ALImbSJmR^$1NOb-|Rnr3WNB3_W^GbJ3OH{*(Xr9gSY>bVi3Bl4>t6d
z^F5+ifFtq!oYa?H+-%%(_ve3laOL`Z^R56BT>CV~ZlbV<dkap`bG*@o?quTfJzjcf
z!Q+1`(eB~5ZoSqI8P$P-KO(vOH>hFUg1sr}&MrP|e==*GLk9@qBc)k-6ky&fv@nV9
z;C*g4Tn^Z1!)uAV+fF507}4SZE;X`^zb?$_vrE(h-Z*ilhUhh{w`=^*%Fiu4@McAk
z<G3bh7^b+L-(JMN9%*f|`n!pzuxW0TsAxh0_UK5`=q%>jp=5oHu!%S4QY<e;Xu!bc
zZfr~GckE8@r;LXu|KJl2XP0Y!sDp2mzN%#T0G7id2`+CoaFxO7&vl2?A=2wQf9m%Z
z>`2+B&|CQpy!&@acvYbq#0^G&$~>NjQB-{OUi-X`lR^#!IrFPQZuS|cB!vn*(Cqh+
z+mm&?%cj6JGKvhJHe%;ZG+OZwokkK#aqBoPLOQp%M}j@`6G>7(d+@o6>Bk8r>-a+Z
z;7W1;3APFcu2Vf5#`loDr!eIPz9}G}p}wjL(G3>|pUjWrnVD`YW5FBv8o#Gvm7gjo
zvQE?m_D|r!<vo$1Qh#t;LkpnYRDp4^!u5@3Q#j88Yt+czAH1X6zn}iD3Z!dW1|2^(
zi)Z$vjc?Fx;p+|p#KQe5fcOG6=62?BTGh*-1lu@Srcih;RT=Oj@?Kgmf8oA{9TfWc
zJGl5syK`?8mEoZFB6CvSBL3QV+Rw~l57!JE+`k>E1gZlZyxh#ocvZ$j@+Lb45=l7w
zF1c0_KJx8je0ggHU;FbQ=d~aus<f%Ag+B@~uR7pWM7f5)=WxekOsEh$RcknvwgTKc
zkmQn-x{jYZ&E)wpmKvecH|}kQ$b(}|oHTCz2bZkMJ72X+gCuCbFIaZV!G_MUkxa=g
zJl&UvhnPTz2G2P1=*r1Ktpfeae&HQ_uAPHY)|vq=*{2B~_)ivoEx+EBHrT@-=AY}A
z(qTl-XH>K#R){e8@N9OADFu>GbN}?ien0ZQ^6J^H3lVr<#5k8lQ6levw48_>W)w~+
z*C&t4z?LU5P<WOKowc3NZA@lGA`Z=J;m$H}s^?ZBwL1-x%+`a69X9l-m;e0uk~Gvz
zXgrFgr$hBgoGXPP94Jv{l*RFZG^kI}i-~=vM;DU>ZN}xfkdp275*u}CaDP;WTfN_h
zve;slO!v5vU+5ttr(aUw>2&tV_%IWCf4gGh(<Uz(<ZW!dTqy+~gy#d=WSP-onpwNL
zm;g$qr@7emPzpRklAKbGvm!|i-v?GfLMTGwO``sNDTw9ylAT?_hTeV<5jUnHph3C{
z-I;hP;OK2VQAp-Mz1NdpTsbF-g47b#V%|wXVD6FThHg$Y@I9RR#IP8;`ee2<f<_t^
zWfjvW61h=Gwc?7Pj|5_8$X)F9lLphw3(5__yeRFI<eIXG6iOjZixAjkz`!%(Woslq
za#bum!a6OD^5$-f)sD#k`Q9Opj#@$Vv$X%h#z!K;!ZH<}P7`5ai{5>TR|JXLErk77
zCWl@gLJw4x<sj-leHdFi0llHv;|?lPKsMECe1tlAc=y9p_?d_pdJ`0A&Q+j<KI=xd
z&u1#aV(ZC4@epw&s-DZf)2WOsXM3)fUQ&iP<#y$dmn6^<oVEFes~}O6>A-*r6-Y{&
zV5+$wg`zc5V?v&&qSXeT|EiTpU`nd|K0hgq^v`d0SKE`&y~)cIssm(L759#!a3rGL
zPKzANSrQVicIT8XP=}$j4PzFKvgn}K**5_P$%vjPz%-ky33rpNU)1x-qqojpDILya
z6ege?ajae&TJ-4yHI67CpY*-~A2J!SHr?)d^-~v2W9;cxEEQ4k$ju?sG7{=?@~iCR
z!9X+AM$4H`2{pJ}`Q$pLidyn@l^!Mo#A9Wpf1WBKYTumSe=1dwobtK!O9=+xaQ1wr
z=#Ub+aU<iyh>0?K{JM=eblDIt@=b<|)GMJ5@rU12<rR=AAte1j86$XqW=OTdP6@3P
zeS2EqPegTO=h!n9MqnAsbLe)GBBI?1KdcigiIQvw&r@+5gX+UUfq_T`WMM7k8=obL
zOv*D}NgpzXCMVk#PfdBGE~DuDDNg_u={IHDnHvLN;$0K>0$CJr>g6+v1WvT)TajTW
zYYc9U)J8FDGN{wFtwX_LKN6Jrpyf4f1YhkkN=d^1_%FRJes@15O5b-yFgnTzq~Cco
zog_=5kA><q=cg9%x0C`b3H(N2ww<`MWh9Q2nH1=G>GQFz(_5Aw(+!~_gwO23aZxmM
zdsO_J%sj>~O0o;&GXyrF=FS_xg;A(D?F)hH8`!(UL$>Sj22kzbE?I3afZm1OB8AQD
zVP?mbn|&D#pzSS<<HRo>RK%q93m2yXi}3X#au|TMf3j%JdrnlFTc^smMGcY5H+QS3
z0jPO`CAC`E(52qqUITGj2tC4B|Na05)IKpm(~`{SFoTknbt5hC9@dJG64r-=bA2=i
zRrVo5^Vcd`S~@5@U-E54QxE>6%V%+w(x7yqV4=ZnS~%$7b*JdGE?BW#6Rmzpfe;tZ
z2itmDh)We;m5SDZV-98wx-?t3lu7lA_=~h~cb)l0(Fbif<L_1Jc4r0e!LqM>qoW0N
zwx_(WsI`H6qkb{r^gJGnHBDGQqk*}JNrh`iv>@5}Bu(Y^IDUEKEEi@#1B<tm67D_G
zguY$=%eLP><5M(Ng2Ri{Kn2NP%ojC)^?(HDVrM+|@a`M2M`hH2)yxi^HrD|94|vU;
zA05~oAJg@~IBHmEX<$EEs17{@I<a|+5zG=b{*4KzhQzxT!2?|CK+UYe!&5eiMXK;J
z9Y~`F4&qy%+z>UG<YeoL*O|j6f=vA~I;g=bg+V=Pl?<(R*VM@Nzp=L*c1IqF)4=66
zfgJ0LWN>})Y|Q7tGDiAhJ~Nw41J4E<7zd|F|8PqEJz=$qU89^aeyvOknQPC9jP4|8
zq-ihuFK8Y6@S5B7!#piG>I}c?o>v8`Ta$jY$$zkvxtnx)t#lxsK2f6JuL>g%9F7YW
zZ(&OoDqV)1^sr39G001;3T|IKGSXUhu);%SZAv=~kY+Jxm650d4;ZP>_Wjz!PN{iB
zBwI5=4c+3oPI(n5Q&%I8#Z!PX$9+-T4kqBJEmvx7QikFkgQ&liln^O6#TF2B0BW1n
z%gZk)!v$kBMYli&I;rH53&&XC2wNln2Nq@c`g{48FqsAlpZ7J)6|sUX^YdJfYf9j@
z6qxT3M+>(wm$BXsHpshUKr9<j1n~Ouotl;&UJh^U#xik0=7>94@sJ|4d#`YFB{Bf3
z9cN32D<{y*MpQJ^E5P@V(ETk&j6nNN^p*1n7v!60$flSpz?waSrz7WnAnnf1iU;t3
zQn}2X-5>IBXyC9gJ0mkFa+k&}lK7x}lcG5+P97ScQiTX{vcikW)$t@Q0jO@7j9{{q
zhl5I^F<e?~Fs##@fP{pgkmB3DN`gFKfu<J8{_Idsj=IukAp*CxMhY02<lzOq-%-O>
z4!9hAYRjve0J+x-%cof6f%}f}!V?`XQ0eu`dd4XR1sQ^;6IJCwByYu+wuu||V_XO9
zJjKDxB=TzeHF-ECBDPa-g%_T;_S5xrOMsbOba&~vJY-xc$@J0Uhu)x-%2F#ScwD$i
z?(<Usk}E0VoroZq-~+Zf!_uJqj+0VIQxPQFve{fEgkg?hv(wa%2;Oh1^NN*}K*{0T
zih(!*x}6s5Mmgo6+9_Y(U0E68x(~(+8H&Qsb6*xkE9JqXu0YjzMj2|py&2Z?5`%Jy
zi)#!=6`?S9^h<f23Uuq(^tok;L#2OcO4g_nq`acd2z##zDaBzqp`#LD&FmdQo1+Yl
z6L@dM7zv!SB-~Pkq(J(!w{*i{75GrRHmoeE24lpYh1aK~;dYGzX}v=Q>LUfLoFAxz
zP2jwCQLGG<=@(pzQ&9yM=Q7?YPEE*XiP9`ACqfc)VR7PlRnU2Q=#XZG76jVTY>s`D
z1>45OJ8#@o;bZ}YQ}hKL_;@5Mezi;vIE3A=uPds;bcL(sfP^00`0sV&^_%hlL;2+F
zDiu(8NbyGEt3LEo^v~LHD?pFmgN7+;6_|}lJj!JNVBoeH;&NR9x+&a+jX0DcWZx~;
zbQ%L-e*=}<=?c*1M0lAur~ns=9!n8R4B*0<g!{MeDFA12u>c!c4hDWt3W*yVLSak$
z<w|J<$bR8#)n*|Bk?G8?XDSSVThyqEB3d5w&-dJrF_eVj$4!yf=!{_9xs@IJhriY1
z?zWbK7~EG>_-~qI1b?duERV8f;i2qw?k`(mINzeL{ueWXk~hP`)1E|-;FNdsO67$B
z-CLid6^vl<c+7h%Mj4>T?tXfHoC7YlJInf07=eeKH08AzDL{cU=`wHt-hEVe(W*6s
zm|q13I~0;&9loa<Ktl_D*Ii;lJq+Pqrhq)fMR7<FJ6xtjzk@C2Jo5TXX9#ybxtdn@
zhyvZ!No_UHMXY1@#s*)S0emi=v^6myz^O{8s*(PRB|BNFb;=ol_Q4L`pP@p~$#YE1
zL*WsAQ{dC}(kg(@)9>!qXYzyb9ZJ2WgnnFXkEU$W7~pn$z)ssV4+w``D%qWyz=zpu
z>t~*0U`KI!KGlH>md!mzv;t@GHv7e}<vM+M@me-x@Gm={s#rqu`cHg?9=Eaip$8?(
zgqGx9R_IEzZjEpLg-3tIn}?Y7;O!gtAmg_OpxplbjYC$y@xFep{0)6wAYME_8zjvL
z2`8J*S@r+I<EiXEfArUZy|h{Ji6uH<zkR>h;>7~~m5*^<zEm52&u}r`;GhAE2j2&1
z7Uprjt3R}N*0n&kqQxiXJ|$f8y1$Y+GK;HU{IRwGT5#*BP69*J9@eR}ks+8ejbH!c
zXjc)Z2|xb3tDzacg{6tO3dCvuz^@peNMo4NfX4>D9y;6`*ca9}yEps3<5##Qe?I{Y
zp!{)hVsrm0CQ>pavwUM5uab`QlzFBOa|6ug(-)So&ZEb4_FepnJOA{h^`%h<tG|{)
z7RJ9YPrHu9E1U!Pe|O94^u5$zJqo1Z_#EbzFZz%1Zai?Z@QlL{843-w4hU>bVO7%%
z4f~`!an-T;fs`X;$kKBZ+7_6^LJFj{T#3y%&Ea^|iAWIXT{W9k@D1zP6u$BOem(vz
z$Nkxm76}X+yMqP|$1paL2E~%vDx4UQdM2?#6}-l$y1n{_F(!#s>-N;w_?7<OZ@;Ol
z0<keqE}3EwE9)q3xS$e-`^C_;WWD>>E4z-}ODOEa@{N2RS6ZcG1k=InS_2iZIUZg}
z+u4KV<c#)9)D&a!o@^X^ZOZWILv3WYeK+>mW3RfQ@GWLiq^X;JQW?Z|zBGPU@4_l!
zHbqdP4y)#-W^wOPg0}tZXBXVQV4<Rt*Bopcuvo|G?&xhr$kx2<YdhSD1rhK&EI!Rx
zlj+XG5E(^ay}bYXd~7Fn&nx@npQv{1b<UM91P2B9nf{bGbF&jWcHM#9exMU8oEywC
zcqk7KuLxM>KI_B`^OQS}ZggS(>2YbOQx1|XSPo>Zc4FpC%kNZ)z1R>_Ykd%h9OQpu
z<2V@b1v}GkkX`H7kNL7m-?Ma(g@VCwtvRVKjOPqT<H-0RCeyoHCXh>nx}x0RN~&%w
zgg-01!0#(Y$dP*XVN(Wdoi4?uGWK9%B7%|+G{&&&p=3s)wG6y_tk<uH^<wWHD|@E#
ze#6`f63mqIq#;In^Z7<*AGX~+V7yrN9m8z(&*O~J@Rs9va0ht+vvFuBAox#Wr&l$}
z@4cm<XdHJ8*c!w(j{mkDKRtyx7^y{b_e(+x-I;ca^<ga3|8lgk-wam2aP@APktDol
z%&I;oKZ^N&30>={ox=uindjdxlYq{*!C^Jl<JbyafkqlEV046AVYi495ZkKsGy30M
zd93wurBg0qOMBw|asPa1!>n7YRcQhfKXJ7B#{DJiuRoh<g@`!l60P<#4^LvEe0#17
zsw>!|bU*r^&&1%+VNBP#bP5Y&pIbY_w1#~XS$|5F5`#IjTu!^%87%2Bzg-pQ1}2-J
zyq#Pm3MF@Z7%BGVu;tE$*)zvBu|f6|&xm@Wz?P~($$eu1`)`O*{AlMkW;tN5L(xG1
z>vI@apwJ@5$9IZOC3X*sO^FXSa3jEk$1CGwSxXqdhwq4F8wKP#F}sOS5I`p34$FS)
z70mu#)9TkiD)360P^iL0z{$Dq^k3OE?3HuMDY6|6yj*@1^CVIj+~<f&^qL!(FRQ>3
zw+kJd(O{TCqeAc~)OY7@@FvDK{<raGE(3IN*suTy0h4#z%QJi1*zea`#?R%MprR#8
z^J<YGs7*!`D16+*ShL@6m#!XwhK_5BOp1aqH11m*KSu!rvZG0yp{&3y%v(ozF92sS
zk>aE@DrnrAwz1M+2UYwM<q>BAFfH=@dLx(yZn!aq3-fY9n}+7Ew?YEo?YdaL6+;Im
z8-4|SvfMyQw$Zg;<%iE&x<6C~8DPDn!<xd67wFb5jZDq)Lo^S?yXR+_VB5!t$@mXH
z&^?N8(xn%G-!X~1N^;C_Ix9T#NR1GLT^h#RtpDu~OO3wwlocLdJ2ZaSnE-QkGKar^
z7J!ZIN9%`e*x{aLcTFOr80^ii$<9Oz0vb6OAg{;?{%6NT@(0A>Zc(0fdXf;>VMxG9
ziyO>ZbdNn~mxMBV&6eX^!jSNHIAzqI7lOkZc}!-d;l;UwWDi#YOy6p2IXJ}+Pk9(F
z-I0}rQuzaSo<@nnB68BZ7cB&LxCTTSV&vgZ?1PHzEis6=%AQd}Ccx;=IvNpXCAcZ7
z^Th>8K-+{u{NeYaV6@C&H_@pKE!8^yS7)T4DRoI9<(xRU{gS`CC8P=_O{}ruw~6pF
zdJUrylmw=m>7(v$BxurA3H6AV2b~B0LQ1nzFqP5rB_fp!PM77M*Z<2Y^tn?f^Xg?l
zgyAK}%o{a`<E<|U6<39(gS^f!p2~tM<8N2L$LcU<PxdhiAcI+fSl=r@dFXo4dY`1F
z0ovY=u(Ev`AVY9sC?+Yw$e5+;qk9^_@MXfbxkC%6SP~=8wJCwzU-mOzt{RYj*tBD&
zQWsh+3tTQGDZ`VBmuivi>YzTbRy+3!gYUh=C2pcBuzXTr=R&0#_zcwr2^brI+wy8|
z^eq)IID7bWp*R^bPBiv$rx*f_hJI>uwhH`gC)Riht3rv^-6#DYjNqx@8s&+9J*M^e
zIAh@rB{2L#?ee(77!3Uce|edzK<U--1IIuXCX_Ib3U?FmxS;bPs!kd1P};|~bw~i;
zE2F8kE)%$NIiv6-tumOsA9raQ5r$tHCVX|9CQ#s6S#?TX5nQ;;9&MI#LK%nfc<^@<
zs9l{_cj5h~tM<^Tt{pn)m{+qGdTav4(xh*jABpgjmcEWyGmo8$&wK7EZUQ$hv_zb+
zmWHwjOS%fJIXuxh=eg5EW3W9dlVaU20TmJIBa62w5&3I-+vJiFJdRy@de~eHoKxvQ
zgPjp&yq=8UGc|(4XGb`^%0=KS>$1DQ2`hS=T9ZqWZV20Yy0^z^1wiCo@AjK?cC;Qg
zCzZHn01u>1jLVa`;gV{Af`bkx3L}57WwtW_<%hyOmjl>gw76CKp$Qj?>S%eaUkmUz
z(&dqv<pD4lRAn<5<3g3Ug6=N-t7So7uKJbQ(n0FE1$#>=Zsdw<200zWV4f!E=HZpU
zSjp8xW=}}m=$KHP_mR{3;P>cIsb1hJhVILX+6!=_Hy1`I-2?Q%)28ye@!?4<*{87U
z(E=CxFNm>EKT{X1N%eX^f8=4Cp)5-C6<mmgWuNwmK^-`;E8aL$JAz-%OsinJ%Y}4>
z6O}E5b$}|x=%HcV0<NVe@#^SNE;Q8>5&G3z8{+b%86G}Z!&|4_giJ_WsL9(@aH&}f
z4C3U*DPy<sd)`}*7bLh4{;j0yxuO=lY$p{RxkZ8Mh!2Cb<+xCa{1XqYG)-{NI$CPK
zPKB)I4_?+Y<w87!cSZzuP3Wslz}dBFkrp;VaJk8aa$Eea&BtoMf-z<&ca$Fe`nKVf
z(aMG5MaPV+xHO=MM$ab9Y#(}&Xt@{pj~|_uzo&(=)IqIi+TK`(2{Gjicik=LMm^(v
z4F>A!AmgBZyK7}XD!Jq$P+`M^-hP$^^hFI$8#y}8molS8U&|Ak47^Ay?YvispBi*s
zXlXdA!HR0P2Od%n@*?isywe9o)S$(TN#!Fa8;YPwKSJ@54>7j2WY>NngMq<Guewz>
zWPajqAWbtrVyisRb19k(azZ(Ap@ZxwJ3O4Bb6Nm-3XAepTajUeWY52^fdeTg9-pEm
z2%&p_+-1ZB$zZw{p2+f+6QMIx?V?wN(WB$^jEc)7a6gzcBwWdb=3#Tlb4Uc`z1C<8
z?jk|V^W6{k5I0IrhzYz>KtOz_PL9>qk|4ihOwp>32W3|!N2gpDMOLJrGsR{9@?qvn
zqU|Ox%9UQb*kU1uEZ2oP#j8kgD4<4zSC${u9e5f2RZbjTI@MbHyNLv}zt3ikc?h6i
zmxAxuvq_-Y!KZbr(<BJC7#NE!7euR%Uwn1ikw8IAN=+QxWZ1QERWD=_MmL2Xn-|VW
zqVKw6(Nf3A;GdKJ!}^*C>MkdK4jGg}al+ABYguH7NZ!h2@FSqW<SdWG25Cg!v3{LM
ztp*WgHEXw2MA7(!>VD2V85E<lJ*n@n1{+*`9tW32Q35`ko*70&%W<j8KAUQAHui*3
zQ<)g5@g4AUvX(`c=F&T|W7Xl6LzygZfH>m$IG?pmD~EPFty!HkG$3U6qU?&g1S-n-
zDmVO04h?5_{g?P#16(M(V(XVA(Cu^mrTPN$h>(zK`L03}+CSUAe*Qud4X_)sgk6?L
z8U|DQQlhlrs<-qBe{(5xTzKi4f3iFZ-rrhl@1YG&FK=(o|ByoTSIVgp<K<B?)w=st
za~)8m5t_>Ll1A4Y8guU)mq$5I&I=E!>Voo_jNS|5(uh^ovD#=x4w;^b<=Eub1J2WL
zM_F`aP}|77R;H00`fvHrgY^|X&`!x6oeYve#vKlQCKqK9F@t(*<fA^^I2G<vnl6LX
zf`{G?Iup?`11pQkPz;8=2kL%i${=<M3C5pFGDwDREVPFQ;N08ErH}VzP|eALf{K5-
zP;kgfygLhU$+H-Y&1Db;y*=T*ha|dpqHnh>6`+>Qz0rI{8Y!o_Ti8#DBZ{mG=lVVY
zOl5!UPPi$J-h>tapQ9MMLHg`iF$r+A!sl1Sf)r9u&j+V&0-|u`sqk3_NbA`&HaIAS
z*5*mhw_XXOI*v<T$x8qXYEkzO{U?dG1s?i%cL*T4Yx}>8PXM@$uRpnlBv7Y=S#rGu
zAKE`oazEAtpeuQ#xqVg~S&WELzbWBHc5><lX;}c7@d-huOyVe#zQy74ZBE3w`=UJT
zDu8)~7H74L7^1KL6zdklj!q<SYNYD|6z(^RtS}KpNs_ryVdJdGGHu@=zK4OT*iYxH
zZUm&&VjOm5mKg<ayAqs&FnI2KI4FWk1l_Mn?#+wak7`EuQN;by2feN^Jz*aq#C%-8
zQM!l`(P?aU-}(2q0}~vbQ$_`l8}++elREnlIczqRsaX#UVouxhy7HrYI|phd6&R3q
z*NDM;RXvE(b?{lE;zLu+vnOZ+>5<0$c*k$4y1>nDdu6DG2St7v)|%j=N4I)r$8OW=
zf_B>J>b?YSw22S+S8UOtIFYAKK0Z1iL0yr4EsP7f=X<?35}`-?!cOv?9npsK-f~xm
z9&w@|x5#e2V0v`)DCd!W^MCV<U%73F11(HT<{o2WKslwhJ;t~eR8F|F_Azjv+!@he
zjZX|nHY6*bN=*ws&&di~Ut&kphDQ<~<n2Q}$>%y83N;}s@6oK^92@fKa!j5nV?<KA
z`@7@hG+{B?{l}#cHe^a_9w`}TLNCmSWyARz@J!&2%PA5Yvf2I^A)s&oEm7vI`>JYy
zR*pBF%ML3NG+TX1nZk_z2LJ&7{}h;aJk|df$7MyKYwvN*%Qdfgt<Ske(~O1`GFqfT
zBBCW(Wu?+4315Y%jJn4z6{4i<Ey+xF{rvttkM|$vyx)(<dA^?SH4lv-uG|0&UYOdx
z>>%N+MB4QUeiE9E-i&qIW&p}sNr!K?kT4{nRsH)A30*E^kQBT1;m|MLguOi^q_(nm
zg}moS-*}vt4AzIqC)X!Wu=1maTegQG3gFCq%5<!VK1d9IKI1{>$G3!?*TWh?l%2lx
zyrNVO)C5ve>M!wQ>D>WouMQ!!EO9>}<f8|(O%7lD2KX`cA?GV&4iO~P9NRM_tOrMj
z9KTEL7C`NuHKr3Fil=;6cprb%g@a;8=ylx!I5x#oZJi*71xw!rn&NcfdUSPyU#K9)
zKiL^MJ0p%U;W1W|PP$+qHt|H7DulbY@$X3Ulf-LLxvCioy0CHO?)5+8Lin~@l*n9^
zLZc>U*&E9=_>vM?B337iC5J!PY`rIgkNnS>#&^?TVC-H@#&Z#53NGrsq{`u4^((b5
zA88=%H8!4GB#Ij@l&91PkTGsElWm}u2IYVEtfke9VVF*W=La@<y!QMqRcZD7iv~^*
z{w<C|uH@lAEArTKkfNmAOM^hU*OxeHl6c}1abN?BB90xjFJ5BP1xLEmmEem~m?dU#
z=O~vF#```lKm%PkziC3{>aaAPJdoHhAf$|6BNi&-&*%c(C0TOqK3P1-_9M7ZUIpto
zIxYO0bfL-Z=TqSma!4J#B5+KTf+V4_4~}#_NSN*Zx5t=_yRQn2v+AkhBksrMi^Y0C
zKUHMb!zGV7!yn2YYO3Kc2W8ozjr!nO+|SzfT^@5oh*ynbRID8ld}lbO4*|vszJgB`
z@YtdpGhmF0J2$J-(=rX<tfuDBN`xZX{Ef?8NLR-zeBC6alZJ3KKjqe4TP6HED(4-g
zuYn(0SrsfCjNtI#yUJUF%BZPser4lb4fIgy$hu)hhoAYMk8f^J#!Vt?)GJyv(0s)8
z%c6lX>^P-!vpPft_ik|eVz*k4e_+?{Z)5^9%ST3d1SlxNeUuV&Lj!l;?i$xMGlgdf
zJtJz#6m-<u(OE66fmt3Nvm=BV_;irpdMr>d)7&=4&qp0SWf;C_Y!0*k+{9fOswnij
zE`R%RDs~#Xht;YOz+YgU?RiKQzdC#)-dd<3d2jxsTPy(kBDZuz`>7(2g=<ArKLyd<
z|5J|#K>x44{w5n${C0d!>Y%F%CY(Oxb*>Pg<bLfFQ*Kp!8pZdrtw;&E%fiav&j2LH
zvc`6%Q;>hy{`00K1!M}b>AX^406$ZquUe9VGUm*$p2qSxE28H$$Y4O6Ko(^*X!Ra4
zYiNhg%Av0})%AuQ10u>!-eP^Fj5T8;Qv!FTvHJ_oWo%_Y-q4GK_Wep&Ze{&q$WH=y
zU%x%Q(~tq`^3Qz_t|+3XfgiyUEQ+5t-$->3VL+g*qwt#binz@4)Y$H=5Yj&V-Rt!O
z;C216_efH}ypnyv-ChD1(Koa%aCNR$>9%)#g7T<HNuKkwC85ruSf^V6z{F)c`#-{D
z{Gz+3{W3Q%#t$*b{Tcv0c(#O3S`OF8_BkToI^5R0Ydy7&0KbR~*N&YsXyduW6iZ)=
z=gCuQ1ylmwQ>ssFiIT##%$tUtuQ<?JT`jvP)*LQx5qlTbD1l)dPoo7lv17cGkw5i^
z8Mxo^Gr3L^$GV&0j@y6@uLjI`=UJOU`|*z34TYkZ&VPRs++@Z4d&J#{bW=!VO*nbS
zQ3T`f?L-GlR(!&E`RoCUDU=8Bb=GbW#>V|?yFMDQqIyn=>=zFcI2LGL9Q8{OM*|g=
z)ep1c2bO<73agCajB@P5$D;yh<ob#s+02TpT5k2Zs>X0Jp@5vsDS!`?(kQV<*zoJC
zRxXibI{4YCa)$vwnh4v8JyK`KzTY_?by?`}kHdiMeS?G>ImXM21vzld;)*!^gb_^K
zo9)wGN5b$)=f84NoLIzZp5!oO2q<!cnV_`+-Ry635teH)ZoJ6$zPllG+hy|oJIjYB
zw#@i#isHh`3$|UGIt?JcxSn)rg%@d1b>Co^8^cX*G5y>PAep^bUgSSsH0A2LU+lRa
zr585sqz&nVcvjn?jwoJ?mDsAsw#b7am0!~Fgg(Ugh<h7e<Hd$(mBFq&K0K~7U1i0p
z4=U!1?`n}3Ne_4%N(mC$M4xt_zM%&V*%4evCHe5{cwnoF5kKmMH?nc)>H+somk$p2
z`0&`?<tbT)0Fo<qU#n=*g&Bu8A38Q~z?r&-@!76|xUcU{*6G!~$4uYN>CQ_+^#;4H
z?khr=kWjGkqKYoa*<Ic_8BM|q|8c<RJ7KgPE81_@PJ?@{8*=p}_%UW%MZ>hLD7rbO
zXKhcVfkdj?^}TQS@z$yNw~}#Um=<-|Nz#P|2lPLZvV#PW_L&9&8zfM6_#5XYMH-|v
z7}XxP6h!GQ7ZV3^B=O*W%H8OB9WW-nCxn%RaN)U+sEWHZD(qHn&ui5IvmG)W%aXzv
z7EpL0TU{2PG|<{onL6Nfsd8fsMFg{aEFPCf%VDX!>@O(NfpNiBJ%Mea`1$feZ&EZF
z>8B11Rut=io6Q!v#*1Po-xsK5e_bB^O7tZ+*XV#B-@(_-&Elxr{7ZuKKLxCC-b)f2
z(1DW!yc53-C2{ibrZA@uipU&F{~IMp1Mklp1h7yF?>KBFTmDwUevR^~d1o3Z2Ik$~
zV<Cf;zph0ZkyUW<wrSY=Y#Iy>x0w46%A&(zF}APv6#SMcBIP8g3!+@cS2;h*;jQoY
zQpZA7@vc*|XGM}ObX;_suYXF$8}T->o)6S;GkIePpQ;{&1{m(MNtH*3r$5_Pfr=GJ
zp7nLK>OtG~8~@zSD_~LzJ@IUbI?6-wKj%C8Fih2|bUCVs-waC=V(x2TokWHKYls1;
zI=*J%-=&1^M#Ccf`!&%bgmNI)*AU>+&e5;N$~bB!W_M;*6Q?}iT+ljc1f`a-K`}xq
zs4X(-Z|kguvrn^69ge2M!+@%ehutb@{>l}KPibMy>1A_ro-vpTEcQ6xpy2J+en$x>
zEvy^nb|tl$K$+i^MYVw{uGtX9tQpqCd-iW{|79}+opWZYv=UWR@}6M})zQS_Dc*=h
zRdcwW!IjRCP{R@D4OKJR8o1{|*5&^!2(b8kJ(j*x4PT{7lPIH9d{a<i<DmfXC}C^0
z)e$w!j<|T&(OV6D6Q7Ob-2mXWXsCbUtcF%pm8=KZ6in;<_iFPJKxpT{mN6kUOiT<D
z&8$_%D-#iN1KSwzRoLv(NbV}9_*53oyi>%HV};&pt}vjDr=7D(QWbMHeJE@}dE_ym
z-)DKo055M6XVXCnp36U?uv99C6QRB%QWXq1af`LoBSi&0PKz3jM@!@D=of)Im<;It
zqvmn(u`+J{>5@{|B90$zOcXcgGGJ#6OJiAv66WoYo=f)@!B)=6Cu~s+keVvaEK5{G
z3yrN299smDzLWO+t1|-@uB95v1u0;PKkY8%3JDYM>K0H$8DLt}@WObfJT@=c%vWsT
zLGwaSu5C>KMPbEeg9c>$+`Y{`(v%Ci<Fwx&ya3QmrCj!rTII-G>aCwW>=;$*ZRo27
zu&!HVTZxbi(jSN_h*4QF(>a5CzJLJx{|LsVwNf~h%Z!cYVL_W<{(Cbl1kgX_m^2AX
z;GSREISr%B%mL3@i#2xU!294>Hjkwk9@CMciRUgdE4vdecc+;_*xcorq(l)^n2rm)
zZ@j>Kt7E-yV8j&ccJm&nXB9@riO*b;Ve?Fpyrp?Qx+&<qOysn?A&BqCWDc|Lm}hcF
zv;Gu|GlBg*!;Ad(0+{JqQ!|`5&)go8oDkV(4E}Dy?Uz;gu~w%xHSOdA(_8n{_GhNX
zK+DJe5+xEYnlOW;lNOmrhWu|gr_mvcziPVg5+6Qw24?u*C1zk;#UqgwBS@LrkQlqn
zgMmg)7We;KVUn+m?@sYDg6#M(vhTC?c(JS^cOv;8GttKOwrhhS6p|b={nOUrIR@QD
z_$v#F2BFnyGeb~+(R=V}DK{pMnozGSt--jLTjeJ64WM`>c&eX=8;AHbP6-&W;lJJ$
zN+ZPpEZ2pOm0sn-KC|{p<IC*mSY`mSnfhR$dXah8j0=-5TJF#p<G`PJ%~!^i^uha=
zQj(h}7j}<OAHO=Z79}=!#MtNRt?ph64{3?j`f*}~w8Di?+Wk!S=<9(ZT`hN;6&L;}
zpK2V+S%(ctmVec&b)n?6g2mI6Rn7&ki?$5p!9CS43V!X<g;J4+k^9zh<BTQ{=Un-a
z^Wg7K^^-KnTW&pB{fHX}TWm+}=#bFkKj!P@t2D@+8+dllYc-cdE%wWA;z!dfMT&Ja
z8XUJ<D4X559xt%$$!|F(u*w0O%rhN2kh@W7yR<zI&TlXI&BznPbH^m_2gT_C%d^q>
zr(wJ(@F4W-x;4URI$dl+wbX(AT3#8Kn)vWtU#5A3p9t=Yo6D12qXWaS$Hl*`zHe2$
z)OMw5QS7mJn$c6M4eNV%y?rxB!XVz)8L3I)7%;W7NA0>c$Q%ib$m!z8;Fwt3D0@k)
z*`zXA<EIT1;@6Y*w+rCeJN6b7HEAr|vZF1{P8<F;?jz@q3*vvDMwZ+ZWHH|%{dS>=
zHt0Un8+8{K#-M%soIl@{L*1;FT}Jxaz%O`qN`0>gz8icV9$K>MJ8|0CXH2zWzfVN`
z%a@`^|DHT+F(8kwR~!0&Zr6r>>M73vb#a_*)97@TRzzt$aZT>bYX5t5yOK&J@R3O6
zo2_0-sIV;S`~JB$6qj**8Q(93(l^d-;w@6fW=Srg7pwQMIn9G>lq`e2uWU{g@KBJE
z6JTBJqXQ2QwPrXh$Rf=wYQXuhDjH9lUcJ$)1DwJ?1tn(WR(;QKWvN;X2Sd)f@Sdi@
zo>1MxebZ!2w>IPs5?4pHvTr-1S98M7yhNJtqC9R<B^TJZYhYK-xk|C$y0C2ZDMgD@
z5y_9HKi0%+qRvE9mu{yX{QIYMpG!yyO|UcNUz!%iZd%m8(x(r*sO^PyvdXv%;JK)|
zHhTZenPsvXLfEf}x_(6!lrkLG<Ve;=(GNt^HWMTGw&U-RrVIt?hK6tQYPB(1VqnGK
z3LO?K-m*_|sG|MSa$R4GHpVtZmhla&=E>Zu5TVx9y?ywxo6`$zEc^sphBukQP^I}h
z?<;Efd0=dU-B%mC+>2GBa?L<1Vc|!o2o=wW9Zk8?tA$M?&DURZ5HO?vVei^7DoQww
zUtdhnM2--N$P>x{@>kP5oSsv0?!Ygu#!+>oB}Zw!E(7@2LbD1kq2hvMf9UT8HSA(K
z<{dX@K*|BD@mFzF49GZ=YxR+W(bnE2%Q*~)CLX*L(4b=Uqu%uJAZ6Un@|fKAmjRYm
z6EC;iQNtW=k-ZaKtDehl`7qna0{#=artzs$75(eCCeGg=qva==G{@Z*(6UjlD(Mde
z*J<Y|?C_OA<?4x7Ep8Ujf8hAv+hZzt;8haSyk8twuB1vT+gU)|(Jcz)tNe31vCY;u
zUl=L5(<de<7I4QJTBPHYFnMUh$^ZX1MAA$Dnol#JN`+oHWT}Wl>r9x(1$ptIR*%=_
zJO<cosF)b|EsxU=giUfbuSJU*k5ILJ3^?PxH^@GdjIXcVjB4^>MY_9_d<{DTa#{6{
zrtOi#@{Rs{pP9?dO<4y@?mY&$GcfM<h9-kq&6HAqn?FqJ=wo$XtycNPt!<H0FNq@4
zYN5Y2PciSD_jv47Nx=6YZRWEJ;@A?>swyY=lX>h!k#@(zs@E8EQ^wsyF(BNRnOr@{
zY>hSQb)=aCMS1zVn5Qr<pQVdbIQB6uldr$jJZc8UHU`<*@q$>TzkNQ_uZMa0QeaF-
zt|{zLiV+v?<HrU}^2xr}&3vF(cdz@G3GiQ{7_PXHaA;1AqrkL>xn0m}zFyA+)SpfS
zRdDiQ?5!ETE9ZKdp(8Q9f#-~&&YGDTb9+7ZdF@;<I@Zr*nhzKJZlXiIsesq3U~bfi
z)+!Vm9Arur4r^{xUaeo|T(U@8i=FGF59Qa4FhvxjIepI=!R{J~D?gVw&|&Vm@2|z5
zOlQM|3G;44u%0XL@wvs0_G~+Q9Rnwrrro7~@+=IYW^jvFh(8;i_|PFLmORBwR$1?J
zFUJ6?jbH0YoMy$j#HOgwOEb($a?jH_5d%1JVINP}vo$Donl)o{+$_^n;b3k?ls*K+
z_+`opt--ehAK$O+Ip)4MTU@R!>%r~?@2~9-SrGmRXbN^MFfU|^xaOYH13i^Gqy8N%
z7?|PWbzE(k>A^>}9h=q#)rMCBbs8*a#m;YXC-E=ypa-3ITc9q`pIx&HR$)Pt2)DM=
zu`Kxf<a73#1sV(=`8v9h!Ga?qPSyI|YcM`E`oi9eG<ZD9<JS|yg6c;Od2ipyhC<PS
z8shvkV6?kDwryfTHX|){*D7{QDqow*m7xPFS2<NDE!SX8O~WBc7fxiDzZy5E>wt8?
z==q4xYmnuk*!!F7xR5U@f8uM4HY~ll9L{-x6^-iV#QEE~F(k`tZ0@8sT-yledu-Uy
z(rPYY{^NR-Z?GbN6w!t=(%sW9^x5&3Rl$Mzp;e#bB+ko6Xu(u<WPP|92g-+61^y8t
zVZ#}_IFWWuIJ;L&EXaowNpB8pJYma^(pO_?3Kp8s(b;{J{A?{AD5oTG-4{SFfr~ui
z#Tt+&y=!)}6gS4Ss_Kre7ea<=1a(?Z14h;s4F7(*4o6<TwRK1p#tYRO65A@(!Q5?f
z{o%trh_*&TAs~t!$F2ryc&NjD^N0!=J3g#*c}}^_BaRenx?>`rI&>bSM09D9aBJ50
zj4#U)*knLF9&4mRv5-*3We0wAz8jq?At;UJ@hgTQkEzgiq(bd<i~yegz9~<@Q5LB>
z*`e=KsL*qdVJ6!xh;r;R2FvYoX#DQ)gZ8^rc;Xnz=(88bQ{&Ok^%UjNHqO|aw}uLj
z-bU7Pc8Or!dZ%XLRga-&9y+1F+K*+iNch7TF|=Wleos#+;vu`4%(S!Wa4EF+=9!%m
z_;axRllLiQOuv&oI4P<DpVLa;jWMLKrSQORQEm$Iy;qCb+NS}@n}dkgHZr)qHC;C`
zd(|_3OqMVAYJy8ew)7ukIeg4<PIb<aisW>8eL9~uc#}U`F!zy>-9m+ETvEptl4C;P
zdu;$mmoT|_c|2~&B2#})6F=RaDdNu60Xfej9@Vu9=*f~LW+$eNnlJVjHaw+4_z|}Q
zXVxm=nNgRtkY;Uc8`r-2?yD}G`z4SjxlI|@cUtwn57NP3LB9{QuI4wx&+4P6<5aNu
z>DZvpiVmKZ`7O2ah5^_&<u^IjP_WIoI%9Dk4X=Re#R!TK99AnW^B-5m5x6I8pFqR0
z+??rx7CJ<HD|f2=r-t>^FOL0jG@RTvsQ6!k3Ebg4!(B2-MYDmmR;9Ky%swUi?5DFC
z{PMEtOMkUG=dNAlYK=N*+6Mdn2ok_$<Kkp&uYpU=c30C#I%pnaSi|Z85HRxiy=k5X
zp1FK-_OFmO{y9@+7p}wr*98AZ>>o8SXfEHFrB(x(=U6|!ZDGK&yR`!;R|B8KsD5+i
zrlQdBlmg*n0Y;_lCp|Z6;Qa1U30GbURz6!Esrq68M=m9_<~&eG@|(Z+E{-eW^&KQF
zQ3XqY_hmP=-%wHYee}hOcVxV`_nqa8jU}9x5E4F@sfO#sMMb3or7@9Lw(zI3B~+M|
zivDm@MWd79-zxqSMXk?!6U59dfz@5cvu8#H=hv>>FZU2Yb$K7lhdh=r_4@A*7k_1R
z>sps*X1^YTg0u9@YAhh1<AH=$n<BpbVZpvhk`3j3*e}2FvjB3iH0{2z0*VCh5%71O
zXa3Ag4KG@|I+wQHzNx!pG|<?PUsUyjDHeF4gPO*GLm9Es#@uqqle@T*bL}H@u91-u
zr@{cS&S^Z)E{!tz?pl`%-xK?iGSU(X0h0f-Yx*Z4feu8g2c@u=$T#;Y+-3$48$Kg(
zY_BNRYdLy$2K*rC-3RK!lL)YGZPJ$dD1^SI_w6`}#tE4Z?pKGNnnPr6!yCWVoW1eF
zzC{1oN#eL(!GzQ&GdNYovt7rEgrA0YT<)uwBJQKb>8=G+FxXq{GkTo|dDkzT;~k$O
z&T{glgsYl@RPKmh0y{S@iua2=csND8c^r9@%fkfrEanEXG;yG{_^}61S0;(aGtE{m
zca7m)U2<06G%Nae39i{HJxRE8<~-NwrNejSXh-@%7Cb#sNAgx5C#(*R)mc&LU{bp@
z;$pkZ{E#crEjja((47mggis?OU7r4tu<Co`>*V&DW&a?GMSWA7n+)N#M`fwq_utIw
z-~1wPJ%@==$w1qu)YaU0Z6!v#af+#G)RDhmbC9Ta4*wb(YXBeDB=7p-FwQI>OQ`J;
z=_lyy);emF`jB=utGT)O2Xn5a);f;dON0pT>b7&y2ZaFN&+lFhGJ|6V-He`e5e7dQ
z=WA;9;HmRK@t2K#%o|drmoz=viSN1t+U`brU|f^RasF->Gt8~--lT6EvB!^SoXXP$
z$Ld?vv**7tk1Qvqs?>iWc9uIi?OM&xWr^=uMP<J*1Mlwg={ns)*ve%nAAPjyP0_}d
zQ?8$w?ea0lc~5*IS|t`z1eIv;^zHlGFReZ>LnMDtNuG^FW2K3sMz#)AHUHE)_qvv8
zJm%Y+?(>1TO)cfSudM^F<XBGTzY1nsfRIp0-#g-3tBQtwnKoG2GzR;8FJn$V=>HJh
zSVuVD=?zrcq75&<Qf2E~i<swt?inXvOPs41sSqyGg8OCrBUj?`m}=e!a<{is6Fvj8
zBh9P)a&nmdmdcvJ98x?P`S)8D0VnNgySX)iY}@ysE+LuuP@H={TdRs7=Nhd$YpMZl
zgO`)3Vn>+&xJt<$4VA>{<7;dsPN{>y`Ux(>JC}*bYw|I21(k$b7*%E6b1EpSZ~rb5
zagzws!nw|tN}{0S!m`RAHPCxIOFQ9^PJ}qVJab03iuk^g>g-^y22^T5%)XT@f}u0a
zR{61t&_eh39<i!${5#`ak53-4X8+IY-VdvZFOn)8Mx7LBcsS51;Z#6SI4FISc{N0}
zEMI1^E(MI<nw!u3d`_fVmj7;?sU-@GURal2Re?caiAe3}7eo!)v7;7&Z;41X3{V+Y
zhT<^wf3NjRh}p+gS?)UZ#98N=>~2S8DD1t7b4z7}kI$^EsOATPy>7{_wnPb}8*^Xw
z4!$9NCmwLt^KT$*3~Gy*N=k5${LC`%FA~?Rx$<bCO~l!_8{!4m6(K&)BwFclB~g8T
zSWSND6G65R%00)e2y7ND9}fFh6WS3EIB20QM3T_O*j0W)x8%WxWqWIhBCU~cTIOE}
zw)p&SyO!m_b3W%tM$lWLnBPO~wC-1e7W}77J5(N0HiW<AsH`VGT&oyacK=4$2J;?^
zSs{bH9(~Tp`XkXp>;AX*T|3dd671q|kqp_Stuyg#O@w{-BFE^dE~3vkQSlfL8C=9U
zuB1kNBC0es)7@Y65VB{Fc6`1m2c=o8U7u(z#I2=>jL|)P#NQX@Vkanau(5aRt{Uzy
z1ZyIu@@NbYFJ=Yy90`(z^?cFM{`_AFBSv6&mCn%WJ8$_;Ntb~@fx6}G_TPw$zE*cK
z{6`4=mEm!&&(hGXzwuz=YJWvDDr-l6j1txth4hxzOT+Pc<Ga5vcM*kO=z5VkzliN?
z!fyT9A_WrOe+@3x^$;VEG8<&}P7>a8_mdXlCBfrH%nq?reS{L_;qDIJY2r|jX2SY5
z35dKPY}4y7K(s}-NZC!y5TV95TFfaD;KzRW0?A{DkTb5*{LJx(*wiRlSQsu2AKcbw
zAAK@H*t|TX<GX8~=-80FKeb&9?)h$QKB)bZ5ZD?_em%NK*jmw!sS{#gAvaD?{{154
zTrWlI)~yh-tz@poY*7$v{1)MKb&}}d-gYJO3=2%%F0`7J6oqoO>qR}Ar-|U#rZPq5
ztZ;MxVgWr>1oX=vF;w+_69@Qxt{LdF!@$)tPfu|X2ntO~f4t)lQM}EeB+H8vX5H5I
z9C<7Z-m^Qc{GQJf`Q+33hD}`XXdBHt!CV-glm}=UI4=>YCot;y`SlRO64LF_F9iJ#
z(L%w*Ut+D52s0^y4?+*u?fsZ41fDP4v|hYnf!!7^YRe-eC~LcV3S5QY#lC*C#8_77
zc_y;09R*-BJ>zzXt`Jm82EVb6We4UY<&NS9AxJTC5E@qyf|tW7HH<1w*qr~Tzi)#m
z9D8yq=D4;H7<pR?`_j1~Gu!sHTcS8r&#x2iaT5Y5)mL=s-|K<L?Vc*fPAS-Bzs^VY
zg%D^N82v|H<O37mgnGhD7JkdWIFhnDmts{&uDvQhq-Pzek#Z-4p7kg8<E$d^>6yx6
zIIAG+m~D%$)>nX&EqUzAyrS?w00030{|uLRJk)<2$CZ&09nL)KaCgoQcjt_|x83HK
zJt|35Rw;xc4WfaljA#)_R76R<Nz-bZMbadaJ<9L?eLvoh_v7>Ve&3(x>-DOX+2rA~
zTn6f*iud@iC{WjGRW}qS4^fAc6i%&?gQV9<cV79^fNz%$t(dI{A{M&?Lr?)qyKh;x
zJfy=uz0CF#@k-!PIIY#PTL~ule3Zzb3kIJH{T4h_L7;VT=JY02NOt>vRqdNT?C7<3
z(%4M~`(dft3pQl91((!)-x-4Bf2n80vNa&~agB!dlsecH>#cR>8bQ%{YP<oH3g1E{
z*LyZ;Lh@qZ;MrnhNagQYG;yN?tD9}PzJv;rMH{8qf(&r*Sg4*9)Ptry3x*??wcucC
zTIP2<CgfbZ&tVi9g1}d&yyz?1aI`e0ecYV|2cE3%`73V>rVWzswJ+(yKLOQCA1S6V
z+CW+?f6D;jOV!c}C-tEsY5ZncmMM51<g}Z<G=-^sqLoZ-Lm-&`8I;X21$(<^V;!^R
zphFl^P5xsDRowl(d*w{wtFNclZ59_U9yn67KXWDIax%$Qf-G43hVt3n#0vJ9@CSVm
zG=kfyUy42b81P*0T<Y-(Yv9lH{I`^21dTV(Ybcr-gRX4f4J#pA*xBGbU&}NC+vZN<
z@d86wb2D~dF3AqmeYF|(zgEIX(#|7F$93RH%9CSTzuAHPg)@5h{8qxHKOYzL4^yCf
zObnX0*+azhdq?JT4PmCwb3{W*6<Th38uFj9hq7ZQECa0#U?EvfX7sr<s5=u={G;um
z<qMxi+N>^odRy(f*_a<*e6J38K(U9fjayD1*{2PB*JkSW)ji`*xCT9wF0_LqS<3AJ
zFKF=MSzvvW^IZKBT|0#$K|46n*}qsypup>=FKh@i!Z`dPvvRGAEo81tG#K<$hxb{P
z4T{SpQJ?ak$;n(B*ilq3VX#XTRE``gTMQ$j=<W{}Jw98*y(1;7eY_Q6@rn^AvQrkn
zol@ROTWJlN{4K$D=VhR2q~Zc6QXZR*t+jJIZUxKyzLoaTBq4mi!L99)3g}^5zU1mp
zfKbzB-wm3g@Z3L(?8B#sEC5+RroV<+(Pa++PQ-;W*RrJ${JJ8+nW2d0HgkbC1zhMG
zt0jrQo#sAyfBaRTp(0YJS><!395}l<m1Ar9jeB*dc|U8JB5sQAbHDc768LK036WkE
zaQg=zhFpK4fPeI@^t@**VBw(C?`_@#^?e%)wQ7<S@cjmd3Kq)(vfLw9`p=HlZ@*G2
zWVT8H*WILfB^)&e=h;fTqn)$$es+te_DU;Y6>G+_;-eYJzjT<}vX>9}Q$vKSN90j<
zcUQy_TQf-8tXm#@kstj<Om4J%kjL2iq6-6+Y!H9?Yqj!0AsjQ>s^|1s9ygzJRGZOf
z!$02!D^Gb5)MzPOIm@SjTZP<2mG78B|BXpktpj5CkP-Rp4NC#r^Deu*w=@Mwf7i1&
z?ucV}>)D~8;|loVXl6+JD;DhbP_kEfyaMM!E_;pqQNW2yr>)<GuwYOBVeyd<1U%Wi
z`2|ENV*jl0)GJ9A{N9w~#b}qrj1cmelne<i!dva1KV*V=%4B%seJPX`D=hfYOv1-k
zcI3R<!vrb2Rh*1V(s=S@|BPm?65gvlnoiMYLV8$S*V;rPn!7(zSbA6)V~U)G=Ke4s
z<mhC*d58>d?#$Se9j}6O6=DAsAOj4{zNz`S%VIafB)#j5D!yvvlpj6M0PSG~ojvw)
zXs$P(&)uYko`w?n!uuI8_KZY(X)cdH_CG&#Y)%c+JUqm%^WN)S=>^*hrV7}QXSKoW
z5*ZaYbZCBeXTWEPw-UvciYT5WxV>z>I(~EVzO=!E0p4#4<D%E{?s>-SH)n|k_LRD=
z+u_du2^-F1dp{+t4q8||bzcMBaOZ>i0}RL@|M)bPpp5y9>Yna>nrO{u*57%V0ru8S
zz+a+*-49l1kXBOgu2M*ZHjh`7BctV4yHv5?jU6#LL_srmT}4?UllPu?i8m*yp_t=*
zY~2+qwurt_>D$VLsiAjm@)R;|copIqy^)4ust*({@xH(DIy0BDM`U!Ucy_vXnuZzm
ze22L-79_tvBxL8Oj;9OKB7IV|@Nj(b!)^I2F#Bd1?X#$kX0(Kj7BY0a`e4K%P~8+L
z@gkcovNh25!IzS2$LN@`C#ZcrZ?EVq`<WR%O*9HkU)9=6NA1iBzX$8saLDOEO3VXI
z#PXRyf}A!QC!G5=GRlVi<7?%Pb1AqaO#hqCN^P8oQ~9qU+YG!jCNI3Jrl4N&(Um*2
zc>OOAyOlVY1F<6UhKxED?F7e*n&;>^;ZNJzGGz{7@~c0JAE2V}yIX;)is)#*rPgU#
zfdw@0z2|%L5fzKqEWY@pN5?CVMb=2IvxM-2#j7=^smR!v!~d9f-*l^hHMv8Ukgc?2
z?HrMYA=y>EPVF@8{V|@lE1m;~hpUA(lxUcf%#afOO~r=ZODmHExNzhpF-T%L4J#ly
zFLsK8*?R@5J@<1#>_=)u#UK?kZu;d4eAmP?!S&_OJGrnIC(mSFqvDx}-<Qw7(7-tl
zr)s(s0Mq;LyV{LZoXHs>?<r8n#jaT~Q9S@7r?pO1KPkv?&EM4=OGfX1QCVLs01oW?
zXce=Yf}cZOrp~#kVK4oi*bgg!s7l|RK3_HQ+^2tO(fd?TWqnuZF<!p`A5~#|gC<Ua
zB=w`45{hx>{QY_Jf4=eW`CF=i^y1>jL?1=87oR-mB?EBzMws6^ehrk$iq%<>B9E8l
zl+7!Cav}F-jYE-(IwpPlx_)j@7T*oI89u(i1(jKurUzHaSYkt7;}s@@>C*?UO;~fm
zJU3rcY+Ma@E!0n$Y7=o)bcYhRkH^*UwVoes)zD{el9sQGG%BAQgQUG2*gxyUiDjyy
zf_bQQwt*BD^jsWFS;7Gc^-;dgQDsc@yH`IPDT$5UK87DsEWzpi!1k7VN~lnGq4vXf
z0w%oj*fvP81k&%V@y{|ycytY4PyS&7c5agM?9Q}+HVc8$n!}2iZWKb~S`pAW)={Ee
z&H~Q-^!HKZ@j8UhX=xjofd3fN;iWm|5a)R4<HTio{NnqwJBnA2d6YA0reY2>sUzm|
zZ{+YWozj_YNx+9~w_K@L&ET+Cm2aA|93Dw<Tx{P<z{cjmT}!pi;MrZ>nfGzBnA|7q
z^|yh5VY`psaI9cM)`_IJx@j4-HT+xZNR>o?vb=LVmklC#$9~0e8BA?lag}>f5^YVQ
zNz-kn;In^>9bq7YkyZ?w(>hW(uJJ9A=w}LDI%DkQUqoDMb-)i^Na4cS$OeO178F<O
zD|Iyxabe*?epZY$K3C4u%+F*&%t)B^$PFSs3j1#j!Geg(YIp6dG-1Jsle)bddG)J`
zf@d8iWH9O6$k}IIOwiS^`gFFQh@-(3B+8f!hT8PsGCs-#g7Ei__1}s3IYoQ+0B;|T
z`FPtpn=oPI_m(I{iVRL);Ci@!m&1=*r|zcwWPtAE9%f;L46gZcC8lmc9&cwh@3k%B
z@pga3t4m!nXz9?ZSW8w!OQV{<e|9n8@HO98Pn~!?5Bw*z!JUNO6<@0)nGB#^50&cf
zmPIzPy3I3B2}c@pj!;Axu!bA3F*`~Qr(P0#E{-ds_0R#*!$A``WUo`xM3qNf_j30V
zPgTq`Sopj9xd{jlpWZ6{T^?I+EG2IZRKqfE%&&oJ6Bv|O@>uVI0tTE3xiqXr#>no^
z?X|Z|!0T|n*0qa@xU5dAul6??f1Kd7mQ|X-khbuT(M%HBsK%vrJygep2DA9!CKGu3
z@Z}@d93^aOJ0!uMs)3FJfB3HVn?PvBfWc^)G7hW1y;JO`iTw>fOC?1az^It}lle*o
zyYSXXACrR4c}-ppRt)e6i_hQ1r-rr6i2)xGDxTEjpLv(a0K5HR-Fx%YFzatjXh;VY
zdwK?TYWFZ;T`yDU6^D#kZPFj6^Ju6OqSutjVS@g#rcvf+GXCo!os9F;!WN@evB_IZ
zh|Bx1Q!QB?FJ3YGO&6l$z0-LUrbaAKod^|g(bqt|wtnyKi*!tVYU$X}z=Cv%h7A_4
zHPE1{sMuOv8>P;(={cKCA@z28s@Wb*bb3D=xI9@Kui5yH`YvOGaQ@lWO(GOD8V-yS
ze5sAO{GZe<YS?h5@pgzz76reIMn85P*Tz-N0<N9=%pmK5XwW@HD%LJfeNr>3jo&AO
z3Be}j5MUMBn{}FsFF)7RHZ^Kv;_Y+7O_Sy@5MAU-8l&Qc3A0K<kT#wt{Mg`e*8<qN
z-FmOMJf3eah3M~eG*$50wJXdLmOlN?%-m1Iz5(SvmIWPMJ|xTOsBysLV&$?c*)$w;
zICODrhZc6QsQ-O=#DVWdruQo^(@^8^OvsIJ-n^L;Tpf2VSOzgiWz%Tb6QAB!u$hX2
z<maMGI=Db^F1EStPs1%5{XryS9>2?i?j2GCXu;QIE7WK>lRi5)H>H6oOaIx_t_F}7
z|Hj$O(<!la|A<F!t0Ujkxa|D^fPKv|4x5~)h&v43f9xcq9VatwQxw3`B|n#Lcuv9o
zjeb2#Xlm$YpjG}e7GQa#=Y}pr3W^;FTK4mUGAbti8~nWwV1T^+!k=VKEPgWBvEnod
z$95hgS#1Ll<Btls-=TrOC%UyJ0u-<iL$3EY0EoL^T;r{*f!ob7;CHATM(&Q8{-^;E
zeBA5S%qDdtp640;5*Zx5^e}tmHy2usCS6ZmAfxeRfe{N55r^Y`ms~!@g&8-8OCNgF
z@Ta%y+5L@Dcqlt*se&38Hr*8E->IU8DzuWjx;(y(tO^?lE8&2}piO&Yiwgey=UWj~
zPQZgp#V)4lbD%(E+-^gVGF~c~`sej&1y*gi8f;Kz31M^0qI8lHs?Ai8Eb1ljYx9KT
zb8Sm_!CLWRdA}lVEp&KVFeZ+cr`svl3N7Hxq4~bj8U>7FTg@KaBaRoubDMfqEg<KI
zb3}KkJjQnmb-rhbW6`$uO&&b{)7xaXC0EPgqb%JvRgO3wFy{;ZC}R$G1ywn#dt@<y
zuG#1uCyvc;?{^S0%s}_>`Vn_|Sq$FlZy+@;j@#6~#wAIaL9@(H{jyLQtQnvDQ+i$k
zUj|Or-pphJwEoqR`bfl#J7M9vJ62$})_vho1vZ35o?oRAK*Vf`0kdm{1QZ>TS1Y<=
z3eIJx4g?4hQLHcFJsS!5g`S*GH!y_<=Y4KF)k&j|u4(O?t&&(3Q7iSho(1&Y<p&*4
zNu&1HxU+RcDU2<;QTW(}1tdD(nwR0yh_LkC(M~B`F*&q7YJ>^Xc0x<-L#5G3Q*+7p
zQfXZJ5>{)SV#1xk0yn*QY0N3|E9^)oqDqVW1brnFtZsk86@}8cQbl7SFi8gOhORlk
z>E`)Ww>hU{ebUHx)o$IhQ?huX<E`}J6b2aT-}YnZ6LEg#-DlH6IrLggn92nPG(J?a
zf1gIg%_8+Fd~Nc0{J&7~w7({Bugd6~&N3O?G3sTxRag<%l;WF?1`|k&^W86)E`vW4
zl&4R)knm&*OLgXy2|z)bikZGFp7Lz{FXN69UgKWuN$@j)*jLf#3qH!?(NF1hKI$r1
za$wm(Dd5d_+1;jmMGl?KTQ$?Js-ogqCkYpt35;{<oFezjV`T5q{>B_Ne3C9+vmkE*
zApv{RL$@m6(Jz*y>>x6lQ%+xPl`(<cQqdzfdH(5Nqj|(}8+DB8PyLXlVgf4%zJ}i0
zNy6m3PceyP4Lt6(!B*D91cJxIEI%hHVP#<0MH2x{94Skk(|0$4{!WJphbm<Z=C^Qr
z`$H2C$sDsUI&K1HlZij7##M0fMdEk!mlPy1Xs0<m{Zbh44s=mfLvQ^h^DUKBBx+4t
z<|!~hg!@b~>jm%Ja~g{wnKay7AbVg{3<GAIqq8Go$ViKrCms*d!a(22@{Az{WQPhr
zi`7%d*T43tiZSWDz4cH{3t<9P=QCyElRB!eFC2{?rQ<HgJ9_hrOnA-5)a^g3f%bEe
zTlg}xak`OB*S*4m%U^`I&f06@vb7nXGD$iZ<=#HO)Y%lK&MdI+{?Wu?J0)N0Q60QO
zdv~adzy^L-?X&C8Q818ItNZ?`4z7EXogLl9hOXUi!EO3H&fEFgTMX#n=XKj06iduN
zWbTJ7{XP|?s&)q5Y1hF$`A=uI$D6~s<J)J~8PQN?R3PQjDIGl1w!8j>s|BQ8-T%|}
zJPln+3->=#)IpuPB94!iCCs;<9d`f1^Ygy8ecPk7@p0X$u07+H5V;u6&{5Pvxyyrg
zM+)iKS;A8CyTgIWQ!z6G#=KmlzcjC{n5Ubii7zI6xiBX^rNLdPg(r@LIb|i%a5n!$
zjrTkkT9&`scw15n^}DhfGVG}MU#!c#5f|Xz+Royg?`YV9)((e$X<~lep1`+z0Y2Dn
zQuaJZLt@*Ldk+&eaEa$0ht?c`gNOb!X^GKr)i2}q9SZ7b;K;ArRsoPLH`PK-pklbH
z<`qJ@8XmlNJ#e;;rwh4rpS1@lxFfN;c`;W7zb*OqpraOGt3*-iK3<;u@20|r*f|o`
zpg+~244{6?j7MTP?|(fQ&f0ub0m)qvvH_U@igSXseAhKF-1_0CZYw!daghu^xEsKn
z<i9VzQyni!b5<NTl|ho8Sn`k!Kw0ia-B<y2jNNrGE;UFRQ)~LNBnbeVvs(rX4at}o
z<$H3nM-sngG(1i&<-!%i?**xw)zGr4sBrQ)0oR4@k4`e+g8D)CRi2uv=#C->n)@a2
zLIJ<frW+ivd1_=8lcS7U*4=)FD&pugL7ZBq&H;|axmVg6O8Bh4juX@<hVSmQ{e`oZ
zu&LwfNB0Iryu30jN9M68K3J%Ui4(Gf;OqKBoG1kp8s8S1t}Kc#Z};GAqy>-yTuS5Y
z<?&><S$4=H5&SyZCQ|jy9D0`S)7CbW!_xyc`^w8iP>H%$;kc(c6sF%5_+TQ7(_&S-
zg*rvhH^c3xa;q5xOnKF`yU5@dJ*_)KrlL6Qc;k<tjTyA3Bv6M^iMX@N>DZlSQB;0Z
zc>nGLHuwi9Ug-WJjUJt{gC|dj;Um`Ff>ah8`h5NEmE5G!nQm*4v~M|%y68=Qt1^YT
zpxnF_{ZjZm?N{Z&BjR|As39O?W(wOs?(1K2L<&XJpAaRgB=Cgh<=0G}PfOX5nPbY4
z!l^f&Vm5*V{HWe5d}kdCYM*>?oFhnK;#|?m@AU*Ut#6L6>1BfJp@ERIbCP&Zr7-MH
ziX`5?Iun|{hv(<rXN$M<>bu)+DV*Ofh5mk<U1P<V&{8cq)UiSe#ly;5>YSu;qB!?f
zLkR;+#m1(C&7|<RYOGMqIwBs=u1>FXWPnk={MVXjDfE5Y^NQsugDmk%#nL$wNZ4@w
zSV*fB)>#yNij9)R@^^y6BBdtq^Yq=Pb_{9k`0|tcwnz>qzqTGV^EUyR=HG_$x1}-a
zsDNYJPkD6vt(#e;VFJHedc9r%5wH8|z4{4?xGq|TAuwbNT>?#Uj)O#;tUX+iRzkwm
zubYMM)fmHO_tpQd=E~sfXEh)H(v*>~&qXmZ!x(Hg#lC+UAd6|-XOqnPD(I-=9sMW5
z7)VydgVlC&*!1`1yIFlT3{?s98uK%Tf)wZe?WXcrU^~&+Bud76@740{y^X<<a(cLo
zqk!>sUA;R;$+-Gb?!mWPj6u8cUZInRBKmYYZd~50j(Scxq~txu5Tp7%tM@1g-*e)#
zBil8w`_{4&uXJNrcIG&_<dG6)<#A)go@pX0XSUf2jbZhRq{b)GD){QA2ch~A1-;b`
zJ60|l!>M);lP`N!(K~*7RewDd)qfY{N;vZLYn$0~${sb;9l4^l<vtBJ9q<gi$jddR
zd!4TP>htn~?A*ECrCK;1a#lHBlL3EcKL6wJa?XLo7ftsv>1ea;@NSVC3=nNx_jmbS
zb+mVIE^!FaM*hHM7wv4BkbKzlL_-XZ8z#xj8-_ZlykY)$`zRBHOiXsnb2Kp_+~~GM
zmkyS%q(x#W3$$xiJ1t$*#H_FM+dF-AF`;@UF+186+9GOJw^mc|!hzw0dep@wYO&r%
zE^Hv}I<L7RfQr$CK&8+LU5qf?I$Fjy12J>AvDHE}EPwv`MDmm_{^Df4jHjBz$*mLR
zKY02VM_x5-`A8SprsIiWvKFBHp|)wegck1q(vV`{p^M|W^~&`EmcR`7)E^k8g`1WY
z<hNDoV9@o~?2W^gaI0gT>Qto`N`+-YMz=Qp63Zw3c*=oY?K9lGUM*ZRDsC#*O2^QN
z^M(FrxUlukQt$JFS~$JqmATLvEnHz5%t+$-=j)%ZS`RgA;l6Nxr2#`4Itae57~ygC
zsI{k20<UlT%!GaZ9SYjV@_*_m2Ux#+m6tYK3o}dn7f57HTsm|kp4|sPx#eq=(?G+m
za-EE`i98-Z2{6e02e4#8R&t|04ZX8&M+*H?!~2f|M5HCGVER%eU&3K3TKdHw-|#>M
zf8n!>ro4J}l;V7M0|l2%9cr9M5^`r;i&pSif!wY8zCph=@%n{>G~F3_JfWQ)_-ha#
zh3$DEKuVLRU%^>5yJWGsTG+vdr#msh_VNF8H1PGe`^Gk^L^L@{isCyBFu(7Nl7*Ez
z=FMJ@_EM0-CzZC#54i#u8Lph@cO~Pc&V?PnJPCNW*n2ok7NBsWh@Df28YWlEYwxWW
z#}fWe?2`ptc<pH@utY``)#OFq<vNPt)i`qU6(SdQJ(-XDzC{^BTs8_2d_?f3NlM_(
zcn;XEfW`27626!=))wnohM~EFD_(xJgxJq7D7{QYypXK2S+r3IZ(8QQ2w!IjYd*LI
zraqHLVLf;E9YR7_Cr5sA<+cS}=-a@tjFiJwr25ded4lL0{kJeo&H}7j-|LQpEQ+SF
ze-y<D;?--%D{se{g9?VVn9yag!yx59l}mycUGCf_{oM?>|6ZpP4T$);?uT*YoFJa_
zyOF5mVg`#@%Inu|lty8T!LY?dAvELLW66BPhF+)S#`R~U@K)Zh*Cbem+M<RMRSY&z
zj~-jtG9rn(y;k!KvM|a%{dw`z4O2LFN=@(Dc1a}JhBw}(is0)x_&rWBg^Nk`B;#oU
z-q@*B-ML;A-@XpukPBE4FRQ~MULl~{ymE3=rWo2a-LTA|vLKRW6yd#{fH(gY)vuac
zj-5~Zs!rczf^Jla5e*2aqAZ-(dr$(0)pPC{u$eHd0Bed@63~(Fzn;bw1RPM_AAkEf
z14vz;&QsY0<cmC6_i2=XXPl)~*Kc6}b?%L#fExkDyz9Cj_DSOA^LHezdHmlgc6y*L
ziGa)2By^AWNg<ceP}z}V0$(1|hQ?Y6_~xOppw*Z(rqx9^Y_>81@4-icu3C~<VJ<?5
zA<E!iqRn%o5o53pi|BuFP7+Op;A+AeS^Rdo=Kh1r#_*T<ghk}-U)(22E+<nCPtL8~
z5$0nI57}`>+sdWTX`2i=^^ZK39X_x2Muo@K*S9`4cuJ!SaeV_fKoLjsQ*;jgFoNu3
z=N@{<6A?RaM9z+q@IhDxNA{r+1no$-_8KDM7-qE@r77dh9={r|93%Mk%$B_HS_TKU
zjcF)3sG{Df$#bN`Mo{J$$qj3l#dY-4$81y7aC>A&8z;gDZq>LdzVDaAC(-jNL$PFh
znQ>dZexDKeo>~ZIFH=B$ffK`DqSSHIiOp^$2}VHrrurksS`oKfbN*T$)WC0|g*K{r
zMqm(b`oZoD3Hxu!%BQAiBInDMh*i&w;F0UG>c5jp$UfogI*~`g_z+gPtAH_lmfaUw
z60Cyj`3*xScsb&7@vw6EMq|)%NnG`LLKP)ego%W;&``LZyt=x=7+O>Jjd?#&!!MkS
z&XfIG7;({?twiVLmn^4yEm>rIW3Mt+IZVfT#olwi6(;bcN|LF*TOH}eH-l1!w9$L2
zrhR-P10MN`<+`oWz{}kH*OTvcaOXRlSDnk4kQ4p*(~PDj3T@p;=M?MWwzjh5q*qKR
z+8~-o|Er168K}bW&_fG_L+rLP77){xJLk1i@DYhE6WynWdv7f}b~n!y)Qo9MuVqnj
zm6qpFD^nj&N}rbw%4LJ~NrIW33k^N{it<w2_3=g4OA4!irz00t?mPUWVenJVMp+Ae
z^rt8nBvhC~r&f8{E*_t?{Z6og`t>l;FgWt(BMWFhIe9I4IUWBlQaaPE^-zF)&?&0j
z5;lwLzInZajs+=B;{w}su~A0t$oqB<xG0G)|96#+$s02Zf7$Bb*GGd26?I$~c}9Dm
z@PLjR1a?GfkI<15_&!5qEr3t@71f5DbnI?+f3Fazg>Aw?4DVtdCmnX=>&DRWTJWiP
ztr{wlPj8iFO!E9ZXS&9jOvnEL0096043~F2)&CdA?Y;Nj^BVVFd*6eKkjN+vRCXmI
zzCvkGQK)2;QAs~pSuNyq6cI8SL{XGTh>*?Czvpot=bXp;{dk?{>ljQ+0CiRg`!n@d
z6)Bbwd-ne0;rnXnDH$aFL`D&vZl8L2WRE3;e6#*_l~oNBpZJwaY?sH+QG3nUf-PZf
zu)}e}K^2K?jga;g89a4Hy&*T$5=^E<w{4A5!9Od%&buc|;!LEx!(kswFbz}t=zdKZ
zAMPqBHQOtOHH#lE&)ZmnuKe^5@mosB)|i^oa6}m6e%>uNk+B4O!ApskGZk^tw?kv8
zRREhRVsnjt0fa=z?+?AEfF(RfWBFtFP;+9kWWER>zBJ|d*30sko?@6#xWR=FyklLw
zd;zHCN&3te<nW6O{pst4?AZ9IZoiQPKt^8W&Rra`=sFPB&@|41O5-dwQt33H(WdhC
zWTo-SquMCjS|&{B>}?48YXS2{+73SUl6dE8{?kBiMzj`L=u5S?0LSdSjI-CpaXF>+
zz_a)C$ob-D+1`9}xbUP%iLxMygD3fqG||!HbDEvA{)!nenuJ#9M2nz~KjX8ii*y)s
zbFJUZ)eMY_mgo{?h4F-^>E~Pf>F~iTQ*XORrodN3q^123MEV1#?l*?hVPJZJ6g{^o
zIOOQ0Xl=ergiP3K`)fL!xh-SSf6N3_@3CgR>EuVX!_iU2cJz4g$_*CsJ7XBCY7n?K
z$A@k@{4AwQ^f*?MV`6Dy44<{$=|&pz;WB+d&!G+m?B<VMvV33!%aKC!x3zh(fq?eJ
zMn*Jf7ozMIF#<ia?Q5mVJgBz2+IQ{~6S^=R9Lh^H1n<)KrT3h<F|+Svqz^j_MhVBC
zF=R9Z7vb{{*~_^w=1D9q%9R!CHN37E#Th{3-szV&Ex7PhsX%ASb2dC%F<DVhZvX;+
z9MVZEoVcCu*nwgr4&*C15IuHLAC46WW&QlliK}eS(eoWAzJ0W#>yv;!P;O_FNDG|k
zf7y`h*+p)&t2N&7?4BNc%zG-At;>aejOP@z_wwRufm`wuLp|u)2r|~p<U+6Ke6!63
ze7NQLfmqIWx)4U@ZWdJHMyaEzcFSe__@;QeY%x?9N*;Cfe(2%Gxc;jLd)^3O+@6w8
zt)jZXx4^?}RL+AM(vttnS`fs*yOw^RU+Dl}P80q1a$Y>0;nA9GER3oy&ned<bfEL9
z(|q9(K5Q`l9~bjA5xoC!aJN522X>v<c5hsOALl>5aoe^bidPtVj7MguP;V6t)*bvv
zcD;WwDP9~!>PF5K)ly+e{D6;Kt^h6`ojyCIB#G?nla!;$RLHOu`?7XU5S7LLXW}s^
zh2kTT6$?RBa0#&L@{AQi=Ba%)p_MY2#U`1ow~GqJqxpVKSB3GqwnP@;B!{xvm4nJ#
zsi1Y~U`}DR2%0{;cc#!y9&^K(H^#S6Vee%#o`AoictC5mBFSF?YlPRViOo98{na++
zHsTl_!}T~fUJ(Vn_nR&rr-GG%{c%#21jen=?Z_!pLO<RA#^`gYpk9zSJ)$p#RS|re
z<=>R?a&?yLo<S=7=kF=~szVxE@;x@3#Z~cKQ%6Otjt&U<c=l$*$l{U6HL{+Y8ZOV!
zEGKU3Kzd+AZ)dI?j?!@kE2pZX$2S>0Mk!tJb|Dv*U6jX>t#)*4jU*fz^Zqeer3+Wm
zd_I{+D&SNN+q>jR4GfQL7LE7O0|P<#)ICQOvA!o*yOco-A8qTrLDJTTA-cdEmxD^!
z>7CqdzN&>zA_i)A_za+Rt6tr_n=+mf`=uDrt&JwGCg;9z7{XK2<P#BFRj@>|u4?E%
zGB%X?UKo-vf<6|Hk$4SNWX(z+-}j4*mC@xMS?0#j`_zBQi%|`4|6x*L=cZs_wfu7o
zHi7U{j}s=E)o_5aGv_%y1yycxA08<*1$pMLdnUuwk;9~_ttXF+k{2T!&y1MCUokBu
zV+Inkc)Td3OlV`qj<a9Xq%ELy(D)WzFbS6<Gjs~ZwD9A>naqDSG&r~+Tq0IQLNarS
z&{(D>e!O^OZcZDZDPUONx`Tv*`BK6=nKV$%%+0u_7$89uw*<c+p?x(aJxO03zrOD&
zTNkke`t$k@!)Hi%!K&^#r->@wS7^-C*yKXn9#aJm5fV0_<~0F%Wz5{;FPQXbGrvA_
z*YY`a{6*OQ$X`~#UGX(}2l_3+;?=(nvo~s(yyeeT{~kH?X!_mSJ7o!)IR&v5ld7ov
zt8CFJUK$Bzom}?K_`uuze|7UJD1Ev+RV+gsH?kH+tNSb=uEuYV?Wi&mh4%=xd13sj
zmU~9L+7d2AKX(ajQ9_UOqbZ+C1n|s%;ex~&OQ5WEBtV`bD*2m8&nEHW7RLn+YnmnO
zf9rSfNT>q-ycf~enZSXger$r|d4N8)wKSzI^7vNy+O1j}7L0dR`(J<lCU+Xr{;f#L
z;UK}Y<xLX<+V1-}w0j3Y-L{`hx0a;wc*2r_*ysi^75K8@!%rG425kt0zn8>-yJ1&u
zpIsqJPV*n;BGVw%-D>Pmt2nAMzs}n*TqN`k1q>ISw1BXtdSY%!6d&I|5>fwio~V%L
z9f_zjhaH+df>)$O(4jnBJLAY4L2_Qx=w>p9fyEo87o&wRIHtF->cK2wnebwvdZ!ue
zjhP8Qx*>q)UgkgDA3aO3?sj(mm}3gxU+f6sDdb1npOxNjU9&_~c#c-d9}{Q}8KFK6
z=fh@7zwTVh98tC<eE!l_6VPgxrCn>`!A9lB7kCQi32^#zC_B#>L}R}2Jss!5af(h>
z6Z-;@yzcUYe%%QEl>Z{C960fT*{Yt^!$m^yfp^bqZzCXOK0m4cn;luTua^49E)%n-
z;^+P}8^Z0~)UuM7Z20*b!4!XHm56d^*&nNG2r;{y6o)!lQT<;{AY1V|v2w3C=2*S~
zXmmK9Nabb42k}>DZl9*Zh^8|XLev1>eX7`BdzuBev`>2cS3{4PP~jYwst+bSc;<lw
z3l5Pq#0=RP@o8=1kE`7Jz+`dP;rlmcv>~_hTsgvoTlKedil*p+&ew{6Zk^0{m&Bo5
zGR%zZ?)N@R3hP0~-y8poelX*<SDJ@SLs*dy=QJPX>B0~GFNHEPESQ=kw`4BDj&(KC
zA>-P*@TR^$aweJuhy8v&<Lu=?yAx8mQ!jNuSn1@izpE^`;U#%?>timQ%3H7**{1{c
z=OR8lzr%`-`(LoNSMgx}YD^dXG8JHnJVEwn!|8|B&prq7;r$;9z2|bM@Hf%tMY0n+
zLO^D;Y6?HfL^$?WZKFbG5{uIQ1049yJcmB6MF7{k%|!mpQ^5RXot9rRCr%kY9(^b#
zgcIRs@8=a$;JwANZT$}}?5kID4?Qc4Chueitph0FJ}Hw_b&v;>mtB9~WfH~QG}n#e
znw#-`7r*&3@}a#PlhbOx7(R*i;Jr6P2AfHX69eOXD4if$uXa!Zn^V50d1aHKQ`Fu>
zbBrI;-Ao=9m`mX`xjEgjy<|92;LN^#RRH~K%W^ABWbjXsXU|SDdGp_goVC=1(8h<Y
zEJITcuOBBx%}J7BYp~0e)}z9Bh4bO11_ya8oems3r$~lI*W^E|ts>YY%Q;dNtAKfm
z)ay&OWVpN*Fn`Kg498T@@(<Q4;&}hV9fc`mU|PH=-OwYBgVweq3cSiFU7eb#u|fvd
zDUP6}3zGQS?a$)lqbe9cny)Iip+K}uxYpnfY23lNXKL<)Dh~GL-60iHAd0N8oI#OA
z^?XpZ*rJXH;#^|*<f#x6>3pK?rW{uI-tuaGOhRhD`5munD$FKa_@kREkMtT0T>mL*
z;+;j6(w~QQ;Mtde@2?&y;N?Phfw%EmSQykjBSqB(o4x;nBwIG;HX3z!`(7J+{4a}4
zOX&eU%Y?bw4<)onDO^q3<c09NXN;Fs^&wPh`l<+>3igcgW^-Pk;G==hT^vpZAiiJR
z&Q4Sny>3WTDZeQg6x2B5lx7IaS4W=uD5;@q>_XXn3KdN{m(r`JjexoB<e|Ot>exck
zvEJ)QMP0eoH{ZQXV9$Gl`fOGb8r*Q2V5U(qW#d|4ProVj=!!Ubbdk_#o^D&oI%N}S
zLv0g#%ptRzE&Xk{24-*NnA1q2;LeuZ3(#c&GmSP0#Zwv>5F@+Y=M5S6wI*i>Ndo9!
zl&VWG(nQ|&pmt^{ZG1Tv+V_tDD9&_Jra5XN)4TtUGKp(qw==M{I9ozkXbNS&mL_)i
zsGR%RsgCnhsdR^SOVFssU-ln0&@}Rp<~J8r6y<rYcv#a4-e<QQi?Pu_t-r6<U22rD
zaN*wxix4YF^K0H>f02aYIkiQS;tDwJ{<b?R!wT4QZX9jTQpbiQmF`M*S>&6wb70B0
z0%Gw{ZAiQtdJD35NXkl}&u$L#zced2b#U=`hV!P6NxSZ8oFa^Rg-qSl&HB>JyCTI{
zRFENuJMT^~KejvET30Z#0$~<^i4R3eNEy1W>v@9{3nLkB9-g*@vCJEEyKEFO?xod#
zSL~QEQOx(*f7zB`*cDiMa#$YSFZm{O(9z-N7Wk64$*+S!743HCHhqzN;>MEW0zvBU
z?JD~MU{%94)U{g%UHgpB)$f}otUtxjF-HKnJqtV9^;!}WIruWGrbmeKd+N4{+yHma
z^jY@r7Dr*X^0eCa&&2#!&4l3XG<alx=FkydQJgrfdg5(h7r~sod;7L13veAhrXDmc
zgzp^lb3e{C5Q7FUrc_JJA?WVU?_Qg_{&m(~`ag>*!h{kqC;i<FdJcTBuGZzpMHaQJ
zyuc#DLP~LOr;HgasGC>5)!;=v#_Z}#9*>B&N}-!sUZ!9|-a@`)&4nJ1Q#-ADpAkKB
zB7Fq~Ca|g@#j0M+jz3QqU6RRqMMPX%?OB>O2I{AY-b7DUytH%TrD;PuabrUG=mkq-
z5V2iz7x7@m3WME)yjAasD2DT6Dj7ylth)X3@=ZpxDw{nyalMa-c6pLjJ7Wk(-VyB{
zd<^Jx4SnoCe<kGebWJ3j4PllqfZ^CHI^=qk*xYRNoe;zNZi&YR(8N_5ZsxW@%$;2r
z9J%|G5On4EFGG4$cfC);jn1zTD}FDciWSERE8{emV~P5ZE>mdL#kNX}hAn?+shuQ_
zc{Ym0uINEt&cKbj!DXUGhxwtw<7q-<z}K`mL=R%W<@86aFA){KuSF&@{}N9-xBvV4
zOBb#(k2jegS|axQoqoHXI7bv}Y*@1T>%!W%e__JROT?U$w~%b|KjMzh)i%B{9XJpj
zeXVhLkvJ5YtC&%+NOY&3`S<6j4y>MX2<Ti`B<yvvru0896N|NPW^T_@!7J!!S*Ya_
zp%dP*NRwY9)LWka;5|o$8$X}aX1rJ;;;KK}`zCJ?ym!7B+6z!2I8^O_y+O;whkdU;
z5Af0B{czfv^8*Snj1H6p*{%@p2YT&1Lm04+xDc&nL4o?MrxjG)SBa97EhYEH7%}on
zG|^W@28K39wdk}pqTF3x`fUs|#tz2lJIrdsG0yK=0Zbdj=>K*r>r+^f{LSR+q=`06
z&KndHE_C?s(qrWy7IqA52ny#)(t?#}dY3;mdgSqW{al}s6SEb9eslcLgacd`LPc#E
z@Nco>!yFPfMuv)u`)<>O^207mUB?(Prov|UM;tHSsrFf{s?>l|cD?GwN+ui;x^rwR
zGe0JV9w@I=*MO0!?$9!E7Q7H5Vz1;UfEt<KLbjBUU|Sch-{n3l&Y6lS#g7Q0?25m6
zv?&Q52%Wo<=*EtDtx0-+<Arf&*mO<aCw0JgwW3rCCvqLUy@TFP6dg_DcunHf;nRah
z=AMS!$Z^cf%tlWf2jb~_B(2q<dWq$=M=&qW##T*kwUNZ^>0QD{gw(-NRbkC`f)Cqb
zz4~1?{c~jWc8;<YH7H7$bA4?lfKGR2{+*hZ#kRt0zP+1q8czo)ut*Rm4%b~**(#5F
zFJIofOH3U+vy&&r421DV4a@AuhYGm#MIe^jO&!YkDx3$ti{OiXwn$J>!eaizzt25U
z2ireHK|$rF8qVYM%IC^h!RVM-Ye@pH*~fz0?@OT0g8#PLhg5OEjQN?}DhVV$K5BM+
zE``2QpXBXj)Uj;6#KU|-1C-9+9=kFlgEnCenWbZ!`#5o0Ye`fK=ub9H{40<{ZG&UX
z%e9&~AO0wTDM1?&{hjDUzRTm{YnuU|RBhx^`g(qk3<cWq?YgbB714LOCS*d3g3F&8
zyu0N#?^(Jdq$d}Yuw$j`<1iZ)%^FE*84fz2EkzNzJ*<pvYm7~a-Be84v8(vaJzY3|
zVJGXPl`68oG2Kl$qk|m8DF!A*efX=A$#N)94V6AeR+zBq;vK#y`r%dsi2P4@Bw$({
zc@$*--an*^mcicH@i&d&?W67bTeLJ#Cexg!;({)^R}V><Mw`I5k12w74w{%Pdw#vs
zR~MDH-M!`-Y6j8$Uq9@y*23>DI|@rSbdY<5huI^@0-pTyRMutFM#{k=al@TD7<VMZ
z+ff7HymE~7y=&U2BE+2;=SIcgmx7=21uWsNVKS+`R~yGee5&-sDA-hH<M(;k5@Naz
z{!{*_jh=IQ`#3iH2wyFajo;)~#n^_;MuIjniANorT35$yyqSI7^47r5c156nQVWll
zSC4OvSHXh)r&44uT0>Zom2()k7XEyDT}fw20f%erUADZkhVfgBJy8=HIJaEH(6=aq
z`j>>9&-7Y@r1!x5`VA7!7!DTI?-4_z*dlh>W^3?@xwQQmk2*45bb4q80{HP7bJ|S0
zHE=J-Ymoy~aaZ({YRqBB`q(VLTnB5YSb1=6saP5B{EZGgra^}{TfFYFPFaC!qI@sk
zh$1HY{*HKec$yHlwYt+1X9Z?myNq3>6)?5tfo!pJE3qqC<L(!BE1*07Nzv$l90n(3
zP8gMaq2=r!BL`o#1Un5@F{|Cu$p3XwF)wk7cBFDq<PDD{#2z+&)gUQ>CrzZ>Ub)QE
zh|#MKzNr9e3&j@Mn|!1Tnv}A9xJ1LK$87XM0J?0}2|b2FXiF{J^(1YTc1lq<>byP;
zu2(t{S{eNKPKmknwC6f)mEk~dv7H6{IuxS1w4Vp#+DwaTw{6gD9~SLa3owVRq7S~C
zEVJV&OKtg=7dB{|#V<dSlFi`rqej-t3@m6iwX9-gvq7^t6Wwv6&J>b9JlvkMxo7v3
z7nXmkUZ*|OB<l#wngDZ2wHJTPI<Y)9QO7;GM&rznKVm{PfspjRI_u^|!mr?3;$OBk
zS}5}wi}VO%c&d{yQ&Tldl=3Qsc}uO*cpKW~9=$YzE6$w!4n9)^y^7qWN`n;|^G@E=
zLc&Jy?4#|(E5DzF``xhITZflveW4)|UdIeUxjn8`IDe4P>YuIYDPE#AH&33|X)}OZ
z8!6oG{O^d!v&H{)2rtnt3D#^g*ERq-qw9$$l4}WL!|Fuw2aB}4Q{ViI()Hofl4#qD
z=Y=#!Gb#HSuSJ??Wpva}27O4HC~vnCZ=pR^49!p3x=6bado4>Ke3PduwT{s$A87A9
z@07>xS)^UMcG)v!lbg3o$gK)VpK0<<M97D%McP~8(sBL6x=?xK!PXw_A=-Rp&Ye(>
zCEDP*JJKWHbfEtHvYVjS4_Zm_Qmw+~{LlCEPsbh70ayB{j2WL%+Sb^dFU>K_v~+6c
z(#+^4H>HQlzV8^PiGA5vJ07<}d-6C)UOAKsb|o1Fjw+M1{3AvGjz3+cy>7l2#<@;`
z3!S3%l}mqU?6}3|q~bd5g~FuVtz-&JsU3eG7&t?_I!&p#`FevE<FS<2sz8C_D)Bde
z2L94wLl?Emy6K>zZS0r+NixhH^b51|nxlQN-<cLPNDqS7hs>l(wBeL(3R(B>JgxX#
zh`T)}BY0mTyLyak!KAI%OUK&_v|-NWG~c~UFu`E`i-V#Cz5-1R=3Yy*to*{=QXR~o
z=f0tPAXXEOq;HT)tX61BvHeC$fviB4b}+j7P6HIY`<1-y)@VU1dv7IZv%@o+&#Ax3
z8gRmQWz;5mgQl3X&E&p3C-^V9wSK)xg1ur7Jgq0`pk_&E*kBtsC<b}@PB4+c&9^QJ
z4H)1X+t1g|cX(l5?ssNYtUA2%uCbrZW(2;}I7W&DKQQ&G&8*U?!;j(5I|mh*p|RJ|
zJoUT)&}MqaYE#s}=57#2Wg81<Uk@1R;1L4Pe*4>^8fs9`EwR1x78^X~n0}I4FAVl#
zFN(rGsDfIHTW<3W4)8O|`Id516fDoq9zS(e6@~)(&+Mz=0zammr>~}qgVG{3T5XRi
zT%p@#c~XEE1O?dz%^M}bE39C5pMffv+FzaH?cxKA@cUM3@-omFMfP;lRD~zI$L;HM
z1z_g8&F;qCav+dYq4~{J6-MK2PC7gh1l#nI`ow4QaGc7^Y!j#o1FRgnbsoYXn>PC0
zTUQadu2&CFK2wF^&_2f@Sy2cRjEmE2QG#ZMrziW!YLL|>TC<Zw9ImFd+3QBAz`5B5
zud4TIp!WH<qrQYBC<=~yCz-0jf7KSuO-1Uk@|L$*!$}%Kn3tDig-P&y>KMn5S`q}k
z8n4<YmW3As9Ywn98nAV?0_=D+A*WS+R9{3M?xvGdIj6PYFn8;9=Z9LrYb1Qy$6o=Q
zL=<;iA0k7xZFC!F8X5K}uU*~StO#enx+|amPJtFm3hW-IK&Ds8&3+wapn5ovhFdm$
zWID|JG}M7@X|jio6{r9&`Dw30rVjAA>hG$m(uLgXF_+E6)qtgv^xnWm7e3N!27lYH
z53OU&KUNdep{>05k9?c%=H7REEl)87<7b`%vm+$XJ?)sCC8h^%&d=zns>T4{Jzq*`
zYQp3Ru8eUdJ-B)PLRYYnDMYdj4qbHAf^A1HZ%B-8_H*xI>vlJX?YCa|f3egC3;KFy
zO%GjYvz95OouI+q6Bna}SG3`w=$=%&C>@|T$rLoL11NYu<hVbC4B@v$9n0;guvi%?
zs9S6aV0&3+B8v=N&t`Hbi^*_GQ26yqj1}}GPJ9_WK?XnOkK>1(HDUVr{KB-lHDujw
zI)+QyP)S#jo>iy@U$4)R@0VBu^DY&Uw-jyQ=t>C4|D*)3-yOerh+zw))-8&3NNd4f
z1&y{oHhBoEGT*sJV+*jU58TgsqXDKr$nkPD640aFmcEm;1&+yA+d0rkaE;$Hz<xv!
z{x^1PNt$U3sPnSK?oUz!S1-~Qt7uLjyFR=)Qg02*mZ3+BYg9nH?15kZGdhsyanW%)
zXbr9Ab&t#Ylwj}h(92AZDVj>R^7zP%6$CjQ*z;jl0phYF@|534(P{%V{8A&VfTAM4
zx-K9O{R(eiNi2*KO%H|3oaZbd-u7bWi_<c2=dN^Zu=hNXcjf|}+Hp%z^ItZrT9*I=
z@^Jh6;8o(VJ<bb`1H_+rr)cp=6mnA~l&CN1@MFQny?XutCsx(?9;6GwnUlc>$6^_<
zac@s(UndO=T3$uOKjVkyq*P<Cv`t^H>iR&c-vSmoG%BJsdElal?Uz~-6S{ru&sm)`
zhik!3kKTK-Lk^DtGyg#*bS#LxSHfuymt!wKzrw@}<9hpc9Noo)wQ{L?YdU6N^)uF7
zMvNYgpA#$85@y2E=F0o$51T^y4!4_n$}6;@nVU)RwT!s4Si0az_9lO;f5#vAG)G&_
za<^x2WyF%;UxW06#?Y^{{z~V>6pd9nvRQhZ0e`W{-+HHF3<?4ta)yuopdDaiX@8l(
zfcw*i9P=WK;ONqCR@3z!T22`}ZlW+?j?lmS-|dF5Y;}@sVp&IXXxx9#agrXdSU%ve
zQ#XX%YhFTEYU+rc^`;8?NRLU{*uO8y07%7B&svw>6OFUA+Kwgk*rGmkt?REoNEO<$
zT)Xs@XvknCN~`FR|IgV6K3@7j+^srl!a71UT(R~Y=%vSMR~_STU3ze*A@t?tfnP+J
zT3j%@1Ot9}`~ID<jUKqyP*YS7OcAH1t4Eci8BmtT*M6u$7eu_n9xCjZAr88lwsEa8
z;G%)dn2Mz?oU=Hz{e{acQNE-Tk)FedADb>ceb=Z1?Yp05E!fQy3K!VCOTC$pu|HMo
z)245iz8r1UXtF@eTQ>YUu#FkbTFo}7eN-r!ovBPBEfJoLfeXVsS@6`kb+h3>Dny$c
zSG1O2A%2!>{CISl6`L}?75&}hZ?4Nx!Sl*%#J)p4@ZSeE)c1Mmeln8+BcJ|GWSegg
zZ-1XH(Rbm%(d$aV@dgwa)d*<neM*N51$X{wtZ`z*27PI2B^e9^QuPPE(c|?V&&=N+
zxKXvsS$vS53?d8sWxZ02Xc-lHeAfUk?&}u0cYL2V_}`W_YzSt;qNF5?CN6%AHyYXb
zjnING2d~cG?qkNr?=NM~Zxg^W4T&RDWGzU)a%m&dn-yE4b~3%l5yX@4&#lCjXo6pY
z#{0<4yVvTcXI+4hFghGxlP)vRgczwArS}~i7`UHjBc((H{|^8F|Nj)1cRbZ^8^^O}
zIQHK2aE^11J-?TgQIROAjG~Mvjh}{+C@GbaRY*uXt07Y7YD<xom61)^E18ey-}|rY
z^?BW&@xJv-*!10ZZAd6?%xx;?N9Aw1hwTC-F~^fl%Hg;+xcEI|4Acvtn@LDUvZFM5
z33}C%474F9rTAEByb!iBpT-{AEQ@8HDSp-*+As>%%Ev#F@I(yjpR}{`Xz|DPoyRa4
zT-5|aeoKlVNk2aAMVKOfe{%P`{s<Yy9|+J(&WobR?#7J+&y=u~+MZ12(}s%FE{{+V
zalF5g#cxbN1$87}=d3tt!}eob<dD}Am}n}|=oP7ouldCOPCe0v@u6|yZ?RH%{?W`{
zF;;clA>y%%X{G~jF3q+OVKOM|wsDtqng+^?hweQ;rvoz&s-s4a%V7XsXYsVq!rDM(
zkuO6OXf#-++vO^tF<%19-Vrk9ygjjjA*Krg)=??GGm7|}o|bB!ql37+riKAD7;8x|
zZ&6pqmzOPWt+-Kf_Ez9~S4leL8ikiF`l;ZF^v?WGbGlf0(#MS~#(-=7W=UNSRPl2Y
z?>nn^G!#m<yKZ8v2g#gk9P_5tusUyh$@wF6yr`#g@b?*gc=<kc(2dZ*Egkz}P52mi
zQJS8mJ7EA-+a$c(Vl>fkXhh}pDF)UUKbDY*F#@ZZLb~KDE$n_X%jx=_ftOu#JkKyp
z;Qi&-g(GcbeBK{yUsTV)=%f6xul|~XjEk*l;xBEykyo7CbB}=se4S%&RhWYSTnQX2
z*TMN;8}3V(G4Rh8Z<X>iOL)kAqE<7Af+Z<&ekbGU_{rV&<&qA7OMy|cNjn7{!Zh=G
zZ_@DL?gQ`MF9WE2x~X<kn2I*WS?g6hsQ6`iCvQ}l6*%#@gtf3!kydapSX4y^Z6AIf
z>+-aQ<J-#Ggo`QIT;agdB&UUqH8$OX&DOB@N5vzG3<cjX!>059sG)1FubVi-2G|@A
zYPZ_x;EAEYG=oRV_`Y_%mUMs(^u3qR+Q87p-l(0=O{e5>CI3^D{V^NZ8me#qdQ=Mo
zV=MRze@UVdU*~d6pbh*8wcTAAt%+|O3cn1j6TuuFf%v~>Ht=y`ukiahbvzM}Iqe+7
zk9*&?)yMp`hNq`~8nWzA!_Xm#gU!f>(?S<(t!`Tbd9vxK=TjBD^fRk|_|_cL{r+PI
zaWiZ9cvZVRpH~^9LS}rJHwKv*)d4GezF7gjHM{pHP!Sc6>~3pZ^Pc%@srmMA4=b?q
z^Vmb&lS3uDhl3VZeh?wyu|INu0bFkXI5Blw8tawB1QlcZiAOgSwzUTW+-KVn@$91n
zwwXNV$l)6!OiT_xIonIXW}AJHyQIa?`{w)&>cL6klFd-h=z=9=jszur%NEAec&+=<
zcGJZ3e>V9cQkJmneY;h_O9)F2)%-kaK0{pHYP<Wpg$0C%8U&Q5^5Zk-D3{G~GX%fx
zp!4A%bGXApA(ysr<IPj+CcE8ch=hpAaQ_T5XtZf`c^$!l(&@3+2j5K-*$$Cn5sju`
zV{AooJ;sUwuiR7%C#Q%dch!n82~)`1Vj&WpxWaTHyUNwiPZFK3*2!buCZJz^HKgnN
zJTu#~vUO=>g7BQ-7SDKW3_|y6E*quKGIO%(mI_+O35RX$Q!;Cep{vXgg$5>>I?W9i
z+f&Dgj2Cjxr96!wDse`tc*7WTpRDZT%IhP<t*vEc>q-ovZer11<;D<Gc6pY)=h+`(
z!8m(-hqNKMNR@^SrS~$qEKglBW&2HB2+jT=6>R`sW1kbmiC@ffj|SEF&khnSn|t%@
zNA-bH*rVIo*32BKHdP2P9UwkjbKLOMTOZ`emJwalI;PFUF-xXKKe1qLGpt*$xB74S
z^F;D0m}ajdrTsSa5zPX&`;*t}L5WUK<gL7NCaIIy-gd8-u>4!`g87*Ni8Vc&)9?;c
zO}N{@!lakDkh+oMiai5*wLF-gZl@BIA1e0VD?P;Xy|j?-N;(ie?3VxHpAlbf>iY@)
z>me3{=Y6wX=};U1RzRu0UG#Hm7zrN_={^g!USj<YIlrQxG#J-8mFvv^nHZS!jS`OO
zCHfxZyqFK90l$Nc@|*YH2;WbnU~b_)qDsosw|Y_+vV_Ek2PA3<zwFN4E46)u@P(HO
zAEb0a=}tg8{dqmHJO1p1<NJOh{j+3U!8$5bkVFn&vTG!cdBhF8>>nT=EF33?9;ZMX
zyFht+eKR4J^+Pt#Vu*kd-rcQ5I&fg)v6@Z6KZ$`rLyfsFzlnUuN4Cvlt373XO7om>
z2jSrwU8H|ym=GL^b#c<u2HBy?>bBrt#H^m%eB|X(LdZ*_Tl^#$B1VHUPjqw<U6Ffc
z>h_EiY(8c&8kJhGYfxZ0C9sFs-?QOb%H0VfXV}6lNKOkpq~a!DtnDMTOchlg^Gy+9
zBzf+t|1@EH$H&l!x_&}G-D5x|ZJJ0ElHTu7uK{wWELw_R4H6CCkAK?XGE1D_qp#g)
zpaHUy?*f9We-mlO+s=9z%n`X|{GvxQ)geA!H)ut0gs3xoK6Ko9p4i5BURjS<9YPse
z-)XU91Uk%(yvSN4T6UzM^hq_Sc)Ry}n#=@2>095PLR}#^5<l&5m{J9P%iGp%Ns|QI
zhHQiEH7wB5S+}YCfGRxX^0&Oim?q@eKUUZ$u!4u^M=QBW6<}$<a_HXN46*4>`57*I
zb|?;N9JV~60=hKQU6=p-CAKQ_jq~epf~9@-t!!=;C@)#L%`G%f^cB9kI%drcNA0zJ
zUS=voKr4~!xo?qp_Cu2E<yBq?;O<%$F;xa%^t)umwn8-LZ*}dHUJDyaA5()mlwe=o
zXb9)n8korzC&C5<!R+zPhSYc^=xLNLaX!NeiZ{bV_ePT7#NXJ4r`Ad^Gu-vu#GD;^
z*0O$_pozdoZ?g-697+(We2%SEg%h%P-@9@Niovy(S{;W5MKERDNlY>4hJ0Q2<|tVS
z$YUD~aW7T`6~%OMay&28i_RB&cu7I}KXI?*Y(;36rH$VbT?;>Vs(-lrLk9SS^}C1e
zD8jaWDs^3lAn1H_<>9{|4|!^@Vm~kyVP~mNXMH#cs1+-5rLPsC-g}>y&8#Bm{beoE
zR~3QWeSQhU9?GyUszupxqY{+IX5A5;7lo$df#JrYs&Gr1RVJlU2{d-uJE<;+!>#@Q
zKJrYd!8WF+a>o&6NX%@%R-+{ajfY(d>!&mT&)l1Da#MjJ);%AD;$$Ft@X*-;Q8H|L
zWjIcRslu>T_ZL+Oc`#-%|F7Rw2k1W@#D1(-gOKjrE4TM4f=J4w%icUHbfmEJw!~=w
z<^3C*>pe;^`Ifs~IEDs%CPr-QZ)ySEqUK56K@|`;kPUzPlnxmJ)Ziz=IxrDabnv{0
z8aQbtUf9;gfc3QF+xIR|f!EoS>ij_+7FTlV<Vij7z7xgwj6#R^x4gd&pV9=gHW49<
zL4BwvUqAXuS`Yr%U2YIHCc}g5nq!Ft1~6UtyVc#s05T^t?^zFO1CRA3{{|yN*mUg+
z?}uz7h&F!L{_P9}oDHQX&x9GmCtfOXRofJj4kXizXQ{B|3`=LGlOeDeaJyF2m_xi$
zc<-1r4UR+7cPul2FPp!3>7FED?KzrtL>djM{@eY-?v*}d3qAc$iPsA59KCrnXqX1;
zT|?{@ob}*(b@k6%me$aBc<a3)q19ZRI*?FviVl@#>x2JpT-^yf-QU`=(4o5c^f{X{
zDh!>}5<RYC3k;{fQ8&wJaMgQIzm}H_y-zq?YHDpk@mad>fDH|#DuWxHG}Pd$T4f=-
zsU2L};(AlnP!}BhKi-gZQiL?e4i@GfJ2;~C;ZNdK3V8O#!I-lIEY#V2{O)N7;{HdK
z@vb(6a#l~e<gA7Gn14-*@^-+(dv!|sq81F?9(S;ISR$SZEuQx(w*{s017+SDG(af1
zd4;v8ieNDtF1c-K3)fHTbh|FAg0;R(*4<qb%rt@8C;s_1aK~~$pe<h+-1zOEtjMsS
zU;ZJjS`izty~2QqU`2SSDDFc`=fcf5Ckg}pvxa`IyB@OPvQT+|Q_3!kAHPVL9$RR#
z0vCy!{%>6*fkQ>+%z-XJ+&LCW{%L6iC7)bRec2}p-uJ#ML`jh_&#%Nv^fADxZ}024
zYJ@=N+{>QIS`v<Zs@u70C-7gcnHXB)1+iz{PT~f_xUn_q>QPeyhL=b`Ka8`(0!Q25
zx7&rWjiwj2Xl)6aKhG|m7+fZTlm&7qTZM7pszSz=?G_Ln6qF~(Izud~!%<NqVXR7%
zSQCBP93qy2ln)pU5?oEsIoNrHv4!uV%kCmGn8@uM$~jX*92T=pX=x^5$OX5WrcqNE
z{udonK(An`#C-W`@`!|=uH9a0G&BX_eH!z1?cL0NllkDqSQ36dx14k^&IFF$=e&E=
zca#~VxpVG97zvN~^7gcL8-sM!H8&35X{MJSomYDw3274LVS#qWFqeDSRZip|)9%Z)
zjZVi&C_s))yINobm4A8rG`*IXp=)DGA7+q{W8YDsK}91_-{5r??yte;TW+4e-bg~_
z#q-h%Hw?j%ktZ&8niWSB+m1|W2&1;v-7m`$hVb%Nrv0!fJB|;_=A67HjEM`6)Awc?
zfQe%xE_ZXFu=`r$G7%BHal_(*la>L<--_Qna*7K}T*jD+1tM7R**UFf)i<->9i6|C
zcyLf)ZbHgm6z?h3O+0hghnx(#`?_~{v0X0Z3csEhJ~2Fc`1G_M1P9lN8JY6qpq*r)
zudFzlQTG;aOxFV|A<?)S&1><)(sFy0q68koO}q9x>VfRjjKc*nf*5#=m$#Xa#Hy8T
zyf!Ngc$7jeeVrwQ;ykCLzMYW5>un4^tJe%LZ}AUkK2O4=IQi0&T4`jf>UlF6!+>t8
zU&YS|Vf<uqu)Wn*7Ikg;%IDk|pr}|?v-Ok+{?>N*;L;$6rv19yeALzV&4C+>FN-2+
z{D;WwX$AbQQYtYo%mAUDBmI<oF}!d=Qzk!G5&1ve-&?@O0Nvd&Y(G22QG6`^cWsgq
zj(21QP*_&)?EUVRtRjhT4t{GWOkCxT8!rD{;b%bMiOhF%$EDC^;Gw&Dh6?^sE%0X5
zV8GK4v-jP5r15u!Lik*PDrOsok}6#p@HMGhDZ@t=Z<|}(?E9*QJH~_RXsce7_B?dn
zZB!07z2Ni-8c|32zCC-Q+Zm8Da&U9R6$P~1ov>s?(nQBM^fODK2PYPk!pyT2QQ?)n
zAn0k~%Z+;%-<IludIB5U$|)tZYESk{cP3+G*FVQH2Yq;zwSM2+E@f1n<#LVl(#C*(
zbz0Qwj=gG@@RjVSf}iEjW*qR;!Jo`hEsIA6KpbyGdAceJWf`1aFr}bJz}wsBBMrg6
z<=&SLaW%Xh5ou#PPeH#ANg70e5t!@mxiUAahQ^e7N$~_K=IOp25B4*L??L+)&sC|T
zc7<WH>jV`?5-DBsVJ6VETX2y`(Lh1(RQCWWUEI3)^`VdprZ8{H!;`T=6Q{3_T<Te)
zi=?K(KL3Yi(C1<(IP*snf2>@U;LfGuZ*H4RdX+h-{<h9}b3hBX+jm&+T%w?N(7%Uv
ze=I=vh`lJ*YoXXBo!_cL6uf+G*TwrwmS9!BXM>w48C!oXnG|$rBWbf3+twulk}rF8
zWK+q=wexVc*8wu#`v@n099+$@njocCMKXq3W?F=P)x<~67B7N+09Y%2CvW|&g`8?T
z*Bx0_N6lUvWpNEF@GyMAEQr^_L)keYd17ivT;&v9x5o<3nz)C);nYHo7e!p7@+w$T
zH6&_~U<Cs@$8%46YobhbMIW!G5=tD9kRQ8a1y!!xL4Q{D;Z2q?^^K6nkN)poTHdpQ
z@0$+Als!{NL6e#HFMdel78|+8mr|{OSMslu>T5L=jC2fQhDqSgOp%)}j#|O9ryQj>
zpR3}@9tMxMrzoEO{{3*bqZN#an5SLLRY9G5JT_&iBy1B{FXb*|1+<qoeyW$0@o~pu
zinWgbx=PtdJ5~Wmyb*swJEDZu`O<Y8ta<Tr$))zTXaKML6Q&bBinx&4QBYCGiQB#y
zG|n&p-t^MB<nGEN>+I{wcuscwT7A<!{0#wpKe7`Qvt`kvaz^}I4GX?{V)Id1n1D{p
zx2bQQOC!U_u7pE*4Kjzq-WvN^!jj#C{`3J!)a7?lNN-wV@;(nOxbV~hGCS=ruQ!oE
zfqx2bi!BzJ8%I+kPP1FUi7?aT1CPb<+`hH`Bc2OPzaft`6c2M~zkfco%}Nw?Tax}d
z2`@0C%bQKTADaPJdT>(tKVckm_HD~{Szy{_G#K1tH-k^Puih8elW-SPI;?hSf%&*y
zT>PM~DFpK@9RF7>gpV4pM}Fd4V#Z_+i*TR`$l6&3FE<F{ZUOObpMA^BwY>=;$touB
zX#Bd`vZDa5cz*HA;$DNhhvHA##v4O%n`eghJU<HGlP<KIUxS6FmFviVjbK;a>2r6x
z`Ov4k&ulvvE4ph&6m47e*OcIR*tIo$xJ~AlWh#XY{n@uNJAN9%X`%THO;=u=<kmfR
zb00hMd<bX%>TU>6-^?-VYkAPfs?VnaIq<>hg-et=16co@dP*;f2M;~tvY}JBaB8dE
zZYg&I2$XkYXm961s)4%Yi6U<N6Z^F`uT>wc!`aFQym;_wr8QJI^WydlyX3Jw`p__W
zrM%|?4}NH<{quyAAE(Fu4ol7Ifrl(x+fW-1o|cl$lKHt7cgFO+bBWi3>Gh(1Vq1AJ
zGQry1wOSCpH*$4-P}2i<rr@dCX<ob+UUWThLI}Clm+eYEGGK83JCCN9eAqv&J@#O&
zFlq%YW`*rzz%3zt8|@r^>|3k!+RH)&gF`Z=>?Ih$;8pC9ELw~6??=dN(W0pAtaK>%
z3mpzg&aI>N3*h=SB})qJVt62uCu%;L4!q0tQZh<HNU1L`G}<JA13G7inr!G`w06-;
zvPTGYa+>q8O%i)IHCVLqukPi|7wqy%NyybP%p-AD8jC6p*<uF`gnX5FgYtyYS?~i(
zh`lVTPg;a~l+nPivrAp<o(PVt*_BbGA&=^Xmpv12)8LcAC5jhQ6h&O0y+>h1^eFpv
zH7bz?Bj%Ly;ZZRxw3D(pt*C_N+B>#wzD9#rO26nk3?-1R_pPwWTp7nkN5wpE(O_S!
z*elr-Ni;X(>DLNSL8qkK(VVYn(4ytz93~)*N*gPSw%t-i&b+wVp+OoLd^NFj%96qB
z7C(cY{8Gb5(siN_wdjy}R!q^%K@OcnuRVULt$}vTUrURTbdaJKEo|miK)0`oujnT=
z5ryu}r~Rfwd+ghoH3t;2Bp@fEu}TZ?#Ckta+Rp&z&DkEu{FKnYBGTSPMjJzA*F0Ox
zrw6%bBXcKxl+m@!ZBW`<2j!ba!_K|agJ%nwo7V4E!Em!12ji|#@XX$KW~RydpqzHJ
zy&^yry?doUeO%4?2!o}4MllAkmHU0CQ0Qv!ym&(AP142xe&>)2;tgTjOqZ+5es$~~
z%;r5rrs3Md-;_Q-HUhKdl-oXgHE>;{qkB^*4f*~%ITqYw40^`Jhf+3aqSy7^0g?$c
z)T}5G&{^e<<jbs&$Qu98=hlvb3p8|(p5ru*G=rlKL!36fT9|rkgQ)Cw8g6Vjd?NJ6
zDvyNA{N{@$Bh5E&Hg!=K*X$6CPSLc4xX!tgoC{=p^fh_s!XGN08DiN{xu1aaMZv2+
zPTKgGXOd&-90gl5)7g%@094SVY}bWo<6n_-&69Q7C~)GO45JyqYW>@OV{dItr#SrC
z(yoQK)kbOWH(G(Z*C%gF1#L7T#5NT^*TC4@5l^U3tbkMcHG{p7j6(wV_Ya1sVZ)@L
z`N?T3m^^U)LYpudRi#Sh?ZsC0j*K0zSGI<<OGi4=*K6U~w?Wq)pdzO4{P8ow*c$$M
zo2G5|(ZrW=`KhVPvN*hFTByv>8Z>Gbos``*kpHDd%G1}9=>3`XTDF2USepffU!|#|
z*v=>4U)GD_m$`YOe#Q!J2#r-7TTsQXYcDMFx{z@H67`gMxfR@1%}q#nrGjftJl{zi
z;Ky+OuW>*Bvx2li(|F}o6jG#f-3V9U!o`W(771!rV3n~Yp+`>%uU<MDJN1AS`JNsu
znqKXr9pN{<;ztzFv^UA3j$@e_@~@<H^J-sj%gS+SIxmO!cQXpk>CG|oFP5IYMgo|z
zQ*L#%kiiV|>w>l~rkKWG7r2l5uJ(Q^kHE076oz%KPh#CO&ira0<;Rn03Hwu||G4r?
zAls*&y)Besroxemp@*#&P<)3W^if+3ed+7`yq$)aN7Jv%<V#z?4=FjPBZoxr{!)JB
zy5<4q{(-Kp6)$tx5~3k<=NAdz>`Y>rN*!SKwjQ^!%rgUf2Z_V&{|Vv3R*@2x&4bLo
zjlKfk#!Vq0s`4^@w*Y>?5kB{(A!d@OuxuBYg1<87a)lB<I#d*%d%9+r8Gqy0y3}M7
z5MWz#onK=${|lL7mieR15t5Go^r$gd_@!N??&n7G_s)l&J>$%|_Wd}q!5D707C$$f
z;>3ml3*8;*lgx<2%NNe9@`%Nq-d2rb4y2StmU17PW^R<oew-+71RdHNZpqzaN2&sy
zHTuXbGx6NQ36bbk?kL_t^{Zw>wt<$lHJ9g@eJ+-#rX~zPfp^*JtSTFR$Xe*gcsI{{
zX&-!Fb*}+Dyi#xOd6yNh1<;bFg_oGjbybXv4t;RG9vvX)%8JiQoT>$*R+tUW=@hpe
z`cO!!=b<XIV%WywP!UcR%r9_dv2W9ZS>Y+k8xpK|R4V?6x)&=N-+0x1e3u^VQSu}u
z>at?_>;hHmGaGJEc)V%q_v+5C(LPZU$cn_Y>a(ruII#3%_+324fV5Lvj<LOCML$FH
z9=&!>JXa9&ZHAWt%&LsHUrgChr8L<;?g}?X@xKws&tA>FFKRl^>)23;Ty5*=#f!o4
zUSX{T9bD!7**{)b)yH91Ztn(utk(~Afp!{bY5Q9{`Ep=mMQwkkuK+gcS}vT9ra>p`
z=-u9}ocN7DdQ{X|2!FnLOpquv5Ig<j<>~!g7(91N;K>;hQnEt363TR;^Q`Vgm;2m!
zs3_rxNR=>J+3tT!($Iy&i3en=IC$~;WSzSkLlpmW`a6?$n+iW349XYB@!{bsT}x3<
z#qd+p#t<7#Dx?ULzDzOJ;(c4Q*rLr6Sj9(svztkQ7qXF1&MAmV3x<AUBq_XPo^>E5
zfC8}x(n$0eAq-pJ&!IgfjSgn!uZ}2F;Pv{8Wz?G_oR+dZqCO{!7N3(|ZJN}9{FXO~
z8DE5P%Z$;J?aB&xV@V+MY>N)GH1tcLuqbXc@qZg!s)%NH2HcukbzszqE3GbE4DTHI
zOmNL8;n=eWLjV2KfjvGcmnUY$ks>Aave`xjJF|~%8#1QAOOKfb-XuvZba8z`%~M6~
zAy+f4ObUb;axA`gmPSH#A@PxfI@XkL&W<BfL9C~Kc87*6F16UMmAs*Wuj2W|pY&0o
zq2BXhteiZWm{p9@)U|N_+j95edR^H2Z-!GzQW4p`Rr(K>k@0FnlfVB-8Wj7frq)rF
z@CdN(`Q@U6ajsWi=u_yx`Ak%Li>oq9X4U$(bx`o>GPXG^)8W*mnywS4RM6!mO=!hS
z7qcV{J?tkKV7k8JyGx-e`f|3I^6aAFvC{>&Ww`XA>qnhFOTQY9nN@{Itk7^E*d+2E
zVE`3_RJ|%G4Ltiv#*j0bjzv}H+e2>{f_|K4{IZ=Uis?l!Id#)<oh@b(BxAVvxygFo
zPYaJeWp&;y$v`ikUm3I6CO|Iz7VIBF#t@I6M!Vz~*fZ|(+1b_%e4AMMeLS?Wzix;#
z=MNp9eEsb-I%*D9cK>bpEvtjsd&2D^PScTVF{ABKiY4Uoc!|3{*FigxlIsIaH2fMd
z5_MSu;M_J*#S$qB{`WIx*UE@4#tt@HJXz(V2zVBG%a($~&VBBiKTxo`K863nX)A~~
zFuUx}prFM<<Ks#jZQR7tc$q0^4VwrLm#i)wJgD4$>v*&#a;NomFruwNt%XG2=%#~~
z7ZzU^+)%^JbrCr}4c1UUE?ZrFQ5)wzXJvoORmL9zY%gLsY(Oz_q2u9YGUmEnEaX3;
zfT3;QG7`jXAW$ZDQgu}y=R&jT<z6Y2=v4L{<go#+iuJ-TL^LtBO!QvUYf&`n3Nz;J
zv4-p8(}#}VS4TFdU4d^UgwTmJ5ifMt8X&R!#x1fM{(Tv@M~jUcugbY<`*^J08AN_Q
znxldP)TN9h78W#c;q}m8umY*1g-4-M%GfHC<KequmRYLSzvf`F6_f;KaZ4vFqRNi9
zl<Mdqrn=C!&iz_eV67%Ton$1BMcfd0{&NHKyRLBjSSdhNxw5;XzYO9ByG@M;bBXH7
zfx~i+0J$FE<5D7tLVDdhbQ9`{g|KU>^dbWGU$M7|GZ4oQIgaCjmpX}h%`!>xdQ12p
z00030{}h*ZJeBVo$BpCIdu8uqbB<#i^SO?dRZ&q1l_;Y~MiJSvN>Wr`Wn@K?Sw@}*
zQACJ{NQk1cCHv?1@Ab$1x~}WK@6Y@5$?|;p`rkM&)|UPE_~X1u<m>B*rr>o$XeIMg
zxEr~#!@3Ff${kZkj$khTF*!rHlM(aiPZ}q7z3?5A$en4VV1|o_a?Aj53F4Phnc1)p
zI75GK>uJRE*VqY%6n)UI)sJf&V#07<*VsLDrjYZ`*Ji4^^x&7aGaa4=k3I0nWx(B<
zME?1GLCHLNz$r3osdI%Md!K#tbl|md#6r8#?6H$BwEQ8bmFm)BBj)`2p5|YX-olyS
z>Sq*q{e5{{G<pX;OlUveN*zKzJPd2rrlUYDZu-|M_a-XxryG`e`jK3rc9U;TI>0Mp
zb-|18A9_CNp!@CeF62=~wYPtRHY_n68@dv{iq1CJ@DAIxAo7+UkQzyC(3?K~quyc}
z-R~qjXJ%f3cn#+a`6p;Wvw5V_t#ga$x8>4+r~8A^2>I00p?@`@Or2X_JbNB}xa1p4
zJ647E)vUkDJFf`^0sgJd8^6)Z$Ls9QceS8(<j)*!BV=HiW(hjkHH#kP`OuIs+llsi
zR~>zAPX@c0?HYBq85Dn>os(wfBRXLs-sbgD1B&KKwy%}^K>N#II4M{TqDA)Sg31qT
zfTDuIqhmSKXxqTUfP;^}poZCl^Fae7P@Qe%(3_e<cf*w~&@PRkoL?8e=Q@+%tga{D
zci$=0w1$4sN`3;pM2uY)|49UcJDKk-^rz6-JnQe_r@rsaSATUNkO-O{Q{h*Pr_iu^
zx^K>f)96i_zJMA$5pHT+{~Q-Nh2FIoD4W2|pvBJV8;)A)U?v#c9l1J%R-4gC*j)dG
z%EltW$Ihz3tOT*qA#)ln#Ph6*3eTaEe@3^>GE~9Y|7+R1fFCH*`SkN0-vzY3a4wy_
zR|PT*-Uyt%{uA9V;X<*PT|^hx9|=6*QUPS0b<wwW27UA?taUA78Fe<j6*_3I496E=
zpIRXNLV0v2%nNl^Q9eGl@P=$9cq{2&obm2A+Qe@8G?!-$CHrzwsEdkFZDyPQE_)75
z%GVBy6Ie${Qj?o*`xU{ow5ZzZ!~&}1r+e7iViUFd{Nc3P69xFGqxAe+#3CB!Wc|gi
zbQ`T()Qo(FQ-E!Yg?!icCA36lVB)154d(SSAo`!TJOmxHnDWwEL2K5|+_`?27IWmj
zAE+}#fHS{qU#`AgMa!R+$@&rKF@=Q8o0&EQ7`gF2{9Mc$8rRV_d3X$m6&K!^@NScX
zX12H|H+|Mo7Eg0U!xlVt`KM*gwz(YSxLA<O5;sv_jT>wE15DV-#Wxq4Kghxnp(e@1
z(QWj8n&70nI4kCA&StmYMHZBQWKXGU(_j+cwYwU!*s(l%=0gU5WgtAO{%zP}T8vIC
z@{|&h3p4j`=?uw`0ZU!al@X=A{x-QbBrCbG4+Z*t>?Shc!mwrX_A3sn;jlfwdy*GR
z`YlqYzab5^W^AUoMm$D%9=A(W<HtNiPba1}N&~(rt><Yc6L#It?2x&tAZGa5(qbW1
z8r0;zdkAx~V!cB1xzkQUm`h8xWoD2xR4efq(Im2Cci6QR>M#-P7|mS%L0@TLQ19%M
zlH$Tj0(&S{PU4ubaCe?XxHRk!w|f%ym>a{j7rS{qki?#^h;(=qO9K~gLElq^7b{&S
zJiQ?!jqUy$u7Xu*csaz;tHsEVnf@*f@amGmlz#c0Q*xI9Jv5Ccbxi=nm&l%V&XB_*
z53}bw(#XO~9rIT|d4#Y!`lm`Q5%QQ_1$ppymn@v+PAOV<6v1w4mD^x96frd^IgiOt
za`5k?#HaoqF>KXs+2mu9GS*?i%f~Mz4`R<pUt8))V#?{$|BilD#qLwm*SB9OK&UbQ
zLTIiO7XKvZ#5N}pb4?ht_b60?r<|9yVkBfRt_p2-NfHU8uQRwdwyFY2vBo`(&t<VE
z0fgqiRvOsg<NY_so~gr89=Yf8HU!MujL!Jm5i+(_<w@t{Ndl(c_B`Gtc?|dVbqfhJ
zv9OxWMNTa;;CEF!Hts88ixp!Eeso$GiMz$mjG_f=-$&&fb(FDRePU;)leDmVX;=El
zJ~|MpAI#d=q=MZ@zYv$vrG*`4E)#m&r3+?*hPHTRHB9<}+jeEG7WU=LPX}pB1ITWv
zKfUCpj=k$AOdU7V!W6_DaZkI9z+9n8GmJ>Y7G09_1HCjcMIB;-Yc7D>eJ1*vcp}y_
z9R5B~k&JzpTY1yeL4~_IZ`6-f6ESnG0SS{t5;l>M^8QMnG5Gy!lz|E&<{M)CEP|qr
zp*M{Kyvt2sCFyEeXc!R_kew`+m{r2^Yx6BBPNs0`Uf|1{f<)}0OVyp*P6VvIWMopI
z+Z2@E>dE!v)v;ltAG>U=Qdp#0l4};T85rhatrwD2v0FS<(bG?bu^*nfo1Zz%Ao8Sl
zOLUhqb~Q@iKYA}7EQ47~Om4~)wvWnoHVr9aMRlB~e=*~+hPTAscXv&}SV5*Ws!1L@
zZFn%1-hT-l4Zch0BbWl-wZHnwT{(>A-&>Cg*LR5O0hXJBc_vVuIMi|Pj0~m#joM2w
zD+p`g+k!wo6QF7;S+{6PVKfaXT-DOFFk=}Nc<H(^*gyV+#1X}@p|lN|8D~6bjE-t>
z{GbB!<(pm)<%Kb~0{@Wx8Z6-Q{8ZI1J1R(ruUgli5Wtp2x6Ywo*`Pq=jge0i0FTJf
zo0%>itcad^{?%g+AP^WfX>|ZhFDO3C;N-;WKUpG=3OOP6i3n1D4uNeUor{mTn6XD*
zro0opTyS#SL)rME5gf8rA>YWP$FgnGjiqI{AS7&T!ZXqkOv7s5rJmeIuOBIvF5~8c
ztY;qKLAeH?QEcI?7rcUYGI`{y4RONHI{caFZhd$vIrNZu_b2*m^6bT!P)=w+HGk(n
zMtw*yS}Cmb_=Hj}6nv@?<Ai{R2S&Or^<Zm5WKE>;1v2lvw&v5$0mF87Z%yv$LI9-)
z93{RW)RVGXClff}YE98e%^3=;$MoHpANhg2Pfa`7?ZyF4Q}tyVrW9y=@Y1<0Z2>v#
zIhsH{!vUWg9e=PE>3~Co<8o8S3PQ_B{fI?zK(4{brZsLI5U*KwHOv2p&<nZ_+jMdO
zEA!Xjb5YtrU!$D=m%N3H74$kv0VnJaJ`p9bt_21nyDO$~yNLOBkC3G?PPn3T@YHai
z7NA=})f9VLpqo2<?Un-<jGIOcrT^1}wEar~-2-&6zxw8edp{R&YcfBiMrs0$S=Ghm
z12{-ZbZ21o;s!5y9=&gznjlvG%ZY+9Kx~(?GxI(kSPcEyb|a4rim2ZCRt-i-Q*$a`
z`N{)?gTvKM2pQ-q5-yx6W&&NG`$`v4UbsDaoSODc11^*%wqI9ff!gRLQ>i*WC>KeP
zzZ9<luP*TMo7b^I&t$nkS2sWKCcJI3)X@OtTk8Q?j_kl?NlULoD+vD2%e@o+kf2T}
zQ$>$!Z_etHI>kf#V0SKFt+a#$o&{_4mcCqYI?2S=yG{s}q$_eQFO$Hu$67MjjT@Rm
zRhi38M4&=iZH3jC1exIvUg>%AfDya&wUl3?;BYx}zFuTc-%=YmXv2Bo(Z*}va~0yi
z8pgM5NJE07DzZ<c3i&{C;KG)SjU>>1x4eCKfe5n|Zj=ub{P2_cCC9~sQjqW|_`mT#
zL?|U%8M2WDA=lr<`oSq_u-K<&b8ejoM{3meKfS*XR*EJh2d>M&%ogoNBp(Ulvf?dO
z_=G{>28YC#Vp-_5;v9btB$#+WGHb~ffo68r><{B|(7O<>8yZdmrOJ78)dOO{l2T4l
z*yBNqSZ{aCM-rS_jzzPXC1Cbgrsf@Y1t8tz(mtcF0a1}5`v)&bg6BPE<<4S7@Z1;w
z<ZitNL^oFMPj!|8wH3a~)L%-lLG`TmKT3uvb}ZV@UK$*&TTUiOslc}r+^IN5O^Ca)
znBj3)2A0tCM5>u8gpi~|KKE%t|J}^F0Xtd1`?ukcgKBUn=6wHHofiCARacC*l>>v_
z3X(Ee9dr_FJM`+cfp+LJTZR<@p0Dmqip;9RIR{mDmOdSr2U1?XzC0Y3mcJLJNdzYM
z`IP;;6!^{+WBpoO0Vdw<<CQ-`1orGei9&rn2#F$e-k4K>l!Q)viwzMj-8}N<PLw{d
zPTqeNoUaHGv>Mt1;zX$Q^}l7*WdJrCL07npl%SyC-KDFE>JW5<=Jq#UBVY^QFcYm*
zf)N_-Pq-L0c%lA}z;+M;+KD?1+%(F-*wpP|qM{0xhY;s<T>!R$+vyHc%8=(%ZS^=&
z8HVP=a}r+zd~N=|n8K$F&bN{C+W+6P^?5lfbt+JQobu@TtON(k95BNN^6+w&EqE)5
z3LJ42*h?QJpstJ`+deM`t)(2o^}SROU?bA_eO83JEqD3?c^QZj>4K77Dj**><I;o_
zAq--g`DP^H>I2t_Eq-Ib+Vd4>wH3ha^0Uw9uZZpa%dyy=z5064khZ+GJf!*-#cQ1q
zf>#8&cxGB-XqZnyZix|qRcNtsCy5`B4@u*E!+YoZkG{!VmW6XmsOydx58Or<IZB^U
z;ghstN9`UW`3}+T_Nj3IB_SXq_cRsa3Ja8%V)owmnZOtFf0;m7f4}>4UMgtXQ+Zph
zrC>?DOZ)jP9QZjMO|(S;N_5VI)9#amgtR~!i#Zz5&wW~6?+(zWd+*KpFJkcfegq$Z
zZBOUCCpzCV0eqn?QZvaGfnE(Que<SU$Y6WB4(m|_LjR=1J&qQFr{nXVN|aX+g(>QL
z$~`0S{(VPQJV6jtb}n9F?p{Q?eFl2}4j6*1R{4&6B|lWXD8Ds&U;()k*0Y-<YzU%b
zqLG~Rd|-8xe1O6>k7R6itdh?d!0`_%bH>3u@bveQ-)<FiNNaFs(D4#|Xt`Ape}$hL
z6p|~)Ymd((?`(rvBi8jGwYSSXzmyZ|B@WfU^jJU+sWj%!TkAnsbzz^_Rd#Sp^E@nZ
zZ4v2cpH=J1)rDPp2{p<MR$z4R=~?PqLYha5BNTTi(1M_pph0E`BQ)@}o?Ahl%RXsl
zbfJKVPfmiOI}?1)vAlp+`isP#7NI}etOJ|++duBBFv9qPUwEm&KSaLvv6hCi4hWrZ
zW)WAy!|67`ACvMMh`+QstM`3vxauJF!oZOMPS~3(*E((?54$E7=~=X)$kTzTsul;~
z`?m5%OLveu2J369;aaeKDb+Q}3<s}Up3Ya?rhyl4;I#gRCd|*ouL*C`gH%<Wf%O+!
zi2Him{L@uUIJnV%kNYz{bi223kLb|D(NQ;#x0__3D%>BwGE5J1rzhgp3vsX{1!R$E
zG6)U5k1waeK>?fNwfm}gNEEm+KgL0ZD7)mKFiRX9!v_S?y=R0tC*LsTEDex&5beKG
ziG$?%{x9#NnBlHN1W80w140@v`rkkpAYRCbuJafx=;v?@^>>lrSMmeR?OzP=k@`DS
z-~c<2@qBYPE|36UFcjxoiwCV2ta7XFoDdzaPV37>f{X=eGm9cdm^x-Du=tS+j2(4P
z_tp}@1g}nKRLcbBsu$k^6Ax5n`tIU9i6HXow1e#*W*{(1CUzd>1rxg4#h3Q<M))8U
zx0tbl!kRZt^d9e0RzK2<RjY%BeXObI8#Z83ohv)0F8~8VE{UW1>ab8NW3$hT1ElON
z26cx7A?c?<f8a+oFh0|v)Gx{fr9GPzrgR|~DY`M|7orArO`MyTg}K4hL!U0vUj!1T
zwq+k{sX^{K%?Q0Z54`NP?^E#?1I2_H8xFi0+;S@FD>}&wN}XffCg~Dz@eMLAJEscS
zX%ejwIeg$CBGBAAx5o#q!Ltt*RAEEaeCQ#q0Em+<HPU6Jp;@7f62_$lUy<~O)1iWp
z<83r%bU_B(jQht7?bJXs?W2SwpAbAhGWl@wjVweR@!@<@qXwDU!Z|PB3IpxSp4v?n
z0@$?{)wh|dL;Sny@0A&%&}iy^NFi4q=%;87($NrMGdN#7C0ZQv^YR_>Qi_ln&>-a-
zM1=c!e8P-ok`NGQ&$yeX1aam8#y=TJP@g?^DdDIT2><haDx{zSju!^cCe@IjG&q{2
z+D962O*NbSxvF4A9(=A6qX9~(=oOn(8DQ!4I>pJR4xD#&)1)txp}1mQ)uC1v-a8gC
z#i$U0@^CH<zvqk0hvdANCiiq1*dv=8i6C~2+w9^CEl?|7{L;WI4<-MkYx%TEz;+mS
z^x=*+2+x(rF32kY|66irbP@@KXjGq4JSd=BbvNy(jv^#GoYmBQMFK<l1P1A!x{!+R
zOI#r;LE$rrGKRgrch7$0G`*q^u?`b&1K5?}(Ab~U?LFS(RIj;~vl+r~p4BYRR%Kvn
zX$cnQB>`RE@08g`Mo^IXqN2r41uXyj9`xRa2#ov(H7Ym(-1!MNET5@BO9`WIg_1hV
zGXLUv(hP9FsQm;_j|#A0jAYh*s?el)b(P>sg=jjw)^e>1oW6I_y|j9dlk_gbE;CfP
z9pfd}?V$ovXSSOK_bI@EnB4mGqs9>Y`hZH~s4{F8+~j!RAP4(*gqKrtjKOo{nm$fc
z8QMlNvYiv8!AQ@7EvMTU_)f77d{$6`h`4%{<y#WqTXf&DaLgD)wRhDRSruV(D(}^0
zD`6P$mlW&X%VqLs_R!oR4>O|nwxjO+@cPr;MWoCahS3(y2fhR_A(6%M|8YUN!~v1|
zKx3#!V^bLD<=_wJ>y=R{76`I&q8ch219~@P>rb)_XwQBaYVe?k)+;X-O8cnbx;+&-
zz$Xn3Ldy2Dv75-1yW1;IE>mIZlwpBGjwB3LhF4xNTSBJYr$m933c?24I}5(zupzpE
zc6Ur6k_@I+qS*ih*49|3IuWp~x+e8sdp{ED+YxO=2JqrLM5$5`f^TJM!&Z6Ek;Wo#
zuEt~pTvEL4T2TRTO$xI@4qzyQ;z$5(wGoU<m2^Fh;)83$?UAx8-RP+H;DLYN_Bh3#
zBl+<%53sVXoVP#Mk1nr1SboNB2(ii1+10nXz$R0DD^*|sbs^<PzTR&DM>cILEnc$2
zEk5Pf8d;yv=;36`;Ank7d8>(jc`VTJ+M-_adLMdhF{bL@8$F0h&Ovs+Gs5=QpdU=4
zJ!r$V=iTaTdXPV8#bpz~0EgJ8yaO}eqRplGa$CoBL7dm%w(bFXXzScxZE&_8z0v%k
zT&;ux|9DDY`*_j9f<>AMA4djCIY)hchmHbE3kM`PZ|)*41x*4(hH|7$xYKpXMF$2W
zk8k+D+Cs2Cd7H=Z2GQQ(IVpr`!%0K%o3z<L;`<*2bPDz$sRd1U2IRCMv5n699sEOV
z-^WN#2oE3;YyR_FDOwP4#s8ar(qF`GnP>OC^a!#M8+PmLjwUQNX7UQkt|E39Tn~N~
z7)Kt7c2`ba(uAY7R@6=U6-3P%mX^i8BkRQeTdqIIKpQm8VK2Lkd>))3I;;FZtZ>b9
z4QI%J>$E9x3|~Sv>thr}O=c1CQ$2r&$27p=fO|ilYYDNd%j-lu{vgMjqDS)2Xn?tp
zQVsXVMWmryU}MO30a0&Rsb>B`0>?AQqJB0lA_B#>hMb#=NQUL%ldHZY*a=a&oHw$F
zIJRz9o~>C%6cufq9k+<^DWIo;R&ohZxUEWUjax;2-U{MYO(yQ;Cg0x<iA%`4!(YyN
zTv|gIG=;0(B#3Y_kvg6%yu6pGYfau=Sx4@UZ5~?lRtKc)zk0!*Wn|k@FXCy=CNgtU
zKVmFP4OAQD`xlB=5Yv?)bBX0`r1npVU+l0dJWMGaPAyqQ7L&>)+bJ|aU;ig!Rb<cq
zs+G$xe*BAMYrKhYOQnU{s4QD^Hx+=>BgWy<|ByG{e;cpj>ESYW^VNry%3v0`nl6{Q
zj%e#I7uf%YgV7a}JJKx50Dr7Z%#AmZR&ynxgd=zeyngJtgohH4HI)_{1h<i>i>A8Y
zHJHFn#L#BCOA)dvZ4<sp>>@c~e0mXvEO5Ex;^er#B7{bXbsCq^z&G<?_vR~X5MLG~
z@}NQi)_-=V(EO$ab&ATk%QOevGuHo5p`ifWjZ=;HEa<_*XW)&>TQ1NoKDDyhAP-gQ
zx!20y;-EoznLbL7XHOs(ANd@X2mA+IzWD__SZ^%RY<2TOW4pYt-U<Pb!740CmkDUs
zzOBV3^23)e6yMG#1kl=dJ#t-x1(MqYk4s(@gmgJ6!%<fPF!(hY?RR1WZOfupA47!T
zjLi|D5HbOxM>np!)pCIJBJHJ&8WB)ycXH(0M}TaJ0t1~wE@&M8Fk>Vm4n@YpvbT8&
zurI=yw}+DlhVD*k=be#+ZQU5#qlyH`vO-fI-RA}7;2+%%ol>B!{Kn1EnE)pvvB#Ar
z{Ge{f|MB2nZX22|@-eI;z~_&bc<6ZrA#l|A;GI3c|LIS2iy2uStd+(U448!A8ZKGh
zrHlZHxT+DKZ}M<UG3alhtOz)KTWc7PR)FgtBP`E0E5Hdf2G%^pKs?^$+MkO`FsOk#
zdwx>{_tmd<44))mt9{b<-X1r?7au&+HC6^kSJRC)vK0Jzu5s=C1vRJ;-Q2C2SAkZ>
z1Kz)GNyEq=cGFM_5z2axq+MT71CydGqr!C=cyx%f+*XqW-A@EZp5zl@qFCt5olA0%
z@8KcLFRcNTjCqGRIt|!)MNjxUM}RqlP6y9_8qn7)a&RYw4Cfzt=w<mRK(keacI-1U
zoCpuCmpq^a?|zVLJANpFqohw#mWC#<ll=EPYU_X@u5DYvP8s%{(+JACt_c!NewLq2
zbwQ)<D}^mv1(s8e91)GxgyADseo6W0gUzMD()M?%;K8rsoo%2AMj1P{%z1_|8ShGW
z1XY8(47{amS!B3>cB)AD69QkK;I7hNRfil=xxe3wHQ<A)sA$h$0CAer?{EK92f27#
zlA#+3TInrbJ^W1ti-seGkvJk0lSwOd#p<xOxOvv4*%&tCern$CR|k$|O6li)Dxjf7
zJ3+o=0+|;6%0w%57_N-%anM%)xdgPbX2Apm;**s=?d@Hpfc8|kzARk%jS&*5rtmQ2
zX$ILu6$~B~oRTn=gs?*Mg^OoRA!a7IPJU1s2vyow4VU+UjoaXj$rGkv>4X3FQBw(I
zM;^a0SmB0+9Z8pPB~w`1HzJzusQ^cKJ>MPhWCVhHU<%iW31HJ%=eVN@(8p}`HcWLL
zIrza(^nIWSAOi1&&2PzqLcV^;(O+K>I|0hM^c`b(k~aBaK3y7?$hM0KF=MF6W=mCS
zs4<w`ZAca>lmtf>5#heVWwcG+T&;J73M-F$W(RJHLBZ*ao4Ms%==!73K`U=6?0?0H
zKd>$Y?>PK)yI;^^vAY%=(-Q!8UhCG;4+MbIk;R^$1Bd-^wD!+(1_)1hnWYoJ3%uSN
z>qoO0FgV*F>|Kk%(e3E@OUYco)3Y)C`3@diyO3XB(qshbZim-5T3Nw{Ao%zJD<dYI
z>hv|S-w?*%yvrE;gNGQ-b5pd+j2N>^vjD@A0VKyZPR}RN!CFq@DOol~thGN{zEQ{k
zKE%{d7m>G-IeY_?Mk^jG=PP4Yu-1nfuIaw}5`Ph|DW7ys4?Gt4H^l96tRBRy#?u_X
zH;)AOPWUd<;jy+W`-ZN*(}l8>R3UZq@5qcTZ`00R|9+as&I|DB0wHT9>CVZ1#P^M#
zO@|c&Mv?eCI_XA%S8`Q(fyuduY^ZMjB%T3lX}t8q<+TpDB;vH$pS?$2YDs@}hjEz4
ztMgL=qB`&*Z0fX`(+E21B=SAv9S#!<$qRWFp$$W<CA0|o9erycF?hNkhn>^bJJU0(
z1%z;t)Mni*D!fu{zOswM+z$$`Q604)bJNi8uh;?_`|4p;lMMs58dBcc^<mF%M@%{#
zEnPx?Eqz&JXkftN)11_7EHok3%lPphfmM`YluY<|5RVnVus)LAMg}>0-b`)xHFP1@
z>4yTI5%XWlw0LPrhGgllWdk|usAr*bB>yBMCfsXx=SHsv*st?gpr1BTCh}#s#%U((
z)rqlrE*A|jzSY)k!n}i8tt&?P^RQs9UKazL=1EXUSsU3WO@r}kjqBE)XT`iK|C<es
z-Q#udBEyO~E!J_$)W-HF8x|638l56Zg2!uDS8IakFry1M<@D1zu<UD{-3=HK{8gqW
zTdL?We&^1^-*maK!}Q(Edgq9+-Z63B9mjxKH@c8&sNC3Gie!luHxVAm-jg5PyYKl^
zIU;yB9?YhEyD}z59U49p><>&aVip`UPWHLHm=8VaB*(HE?8Xc=ZG<vo%ZtCZjd%F4
zPIu);3ch>w!mH-|WL9i_bZagmSO61?RsOZUt_tI&;cA~**s(&Hf<qnr`><z8$CAhH
zssbfE*dT_H6XU4(Vl>b%gz>eh?*vd)VS#J(v|2hB_E)%wYW_+D3s@ce`X8+-B&@%`
zZQIC={SN>D|Nj)1cR1Dm`^QE0-g_M!>p0Fi9Gmy;NJO%-q7tI05aKIIC5lg^5GhJi
z_G&5b7pX{;nGtCqGkcWr^ZWmGy{_xNuls)7k7wq*w{dEnENY~dsl<OFK~8`A3R)LJ
zXP+yf{#kjHuD;v4>MaS9qThOPxQd|4ozHaUl@-y))aO+KpGY8{LCQ&Q6h+UxTil2J
z2uLgML;d$961cHtco(>eqeu7Nq#oY-i+l3d_ioSv&k=vK-P<IQYyGp5i*hPRH}$Lw
zYq=H-6S@60o1{=;t?|Fy3?gc%AlnStl3~=q$2+z}2L1O*iAzaZ4fV5qicl5PhAX+>
ztcJ?uP!rL$E}&2yRn&-v_;FESU&5v8v;YM}^K1VaVy=k>53p~zKcs-M*`pJw7Zede
z?V40gHwitwY{0ei5EamX(zBW;1Z3@e?<Bu38Ko!)T2M@B5aXK>SlOq9MmqQV27J{<
zu2QXg(~NaM)iI}uA)taPY!_G}b10~5xRY04zb<S}DRA3c5z!mh{+}5%Dl)dA?k3-*
z1NJF*pfOq%b!y#<rWa9B)9hyS9IHOK_^7cL-&aG#iyP%-Of=+uj^8FT(EymwU9Oa<
zRY$KLi(6h(qaj(PyVlkUMqpYZaOM=QfqeQGNmN-Hx}?X(BiLvRpSi^&-rvzge(ML$
z`t?##r?n&dRJbWPgP9h`J`#FscD2@M9~Jc$a^$H=V-UYzOr`iI2^lZuRA%K-ke0Vi
z$u>8Doz-QfBz-Mpns)Incxa<Z?jwuV0_G4i5_=`lUJFUovzsLHYoT{|Rkm-XIT+DV
zYOT5!+8dB9JQ}WnQk340W5x_%%}kn7dP_p)b1AdEcT`b!^73WceFl^~+{JTRiG*@n
zlqVvJmC;aY)-IT2Km)hQ$02J?^t|f4zecqpnigpF(-pP=UP<PiXN@(`6kdK$>8>oA
zj;V=0CuITuvs;#wU{OaK@vnni)FqJG)E?8N?H0iHXK6Fyu_}@bZIaoqB#a&%zk|7U
zGvIzfpJb0N5fOHLxOdQo7o}u>-59&ZfD6j8uL8=Ik=wLmsZ0bb8q>N(7snV7*2TNo
zKvY7Np>Kxgvexl-=KMXp-^^hnCgMlgEkz_VGUFkcI)_X3#l<F{GKcQL&4O-81r#xc
z<2P)7;zO;zrxAxajNS4W^|g{kPKHPJHtu+fv+^siV_5)prmiNEXQa?>mjvvP!dtAv
z%V8gfDuCmjk-swi;z&W?rLA$P7rR2G)hHjwz#`QCYx!YOr0yc~-XDHocm2OceoQq3
zb=5|Sle{p>-tpP$T*5FmdVs&k_n9e-OubH8<q$;Q=>qa2)KN@x>UB)bFB8xpvy=LF
z@S*?ZUN^M4Ig0h|@6*L3Oh9b*wcYkEE`-I2H&<|tV*GpW-4JpzhAhQszoJ@p^!8Po
z>w4WVW)rFMT>Y96M9A+p5?tTD)qf`6FY`Y!4<_rGeLaTo@?pw>rX*&R`SH5@pQi7a
zL8|JvAZ0^vKXHJA*M|u)E^4iWei+1h>SP0@P8onTC%JfNbqzOrq9D4jwijcu_ADl}
z=!4p>e+<RKRoubs^RDrXPK<{$qJW{U4{1pq9>+f};R`Q~+Wz#mVzL5VE+$EO@NlGg
zbI@r4cQEOik1TG$zW!&H)BT4IvTQSa#=3L(mr_;X&NJ0mcI#BufCn9Dk-3{}0W<iJ
zmk257#W^hHSJ`Poqb?jdM5<GNJB6<eDu3e(DZ?k6KS-Q5(uI<)dk6W=Ch*?W{uD2>
zI^4a2^+a8n4it92oxG<phR=K;DywZa;gP*AG94N^kfi7p;vGARTNNF{Wh~n8dZxEy
zS0B^BleV%6<PkiS&85~Lv<sgiJa8OTr$J(wFrkbxj5GF27oWY>i?>-y6YrK#!ODJ6
zG33lIyvn}deL&d&e%kAeMV%fMjJF5hzQFqnpOH-^UmhRAxo>v5s?}5AV$dF2vHqWU
zZ2gt-bk?8vm*%9hItL2y#Vb|&fB%WoyKv$tc^Gdv-|f24pbfF#IZu|${K6ZxeAKLt
zjpF8~w2k7X$*?C_g&~*p3%7J+YN~oOhWj|X6tKyW;fnwF-KDC-_zwKk#&P3G+(~I^
zSD>>Nls->-LR%QdfA8G(ZMk<EU-hCcUQHo^u&}qi-k%X1-)_2Fv||Rp*pvOw_md{%
z2j+WkNc_g{cRyXpbDqQJ%YU5zEUF0#3y<c`oE*cYYWFjroSVnnuFq}0KcoS(O#i7l
zt&ihOg}EE|Di?7b1=}{LREN-bmM3`4B;Mm<;GC1QjK2_M-PGe!hd7PHhbqdZ@uUOk
z?xLlu_~S)+)nb1&*!h_D;#=?x{x<r(mCpP>{7mT0+~P)6sO;ERl>TrQ&uOjtm2i9m
zPtJSOW=q*xNVLj3zcGhrei<9(zs7`Qe_fn;aGMBYnFVznrx)<w$<<{a`Iu2{qukPn
z01*`XwQrnMSi+h9vj|BqV?m^luX4MRRG@!!Mn8OJ86UiO<hRRdR^(+b^FxA51!6>Q
z4NU%7#a9>KuIvkAN4U<Pq~}+aA^&Y<S%A_So~uF7vcJuV(6`W(`*O-a4(iXFPTj!$
z%ZfuSH@Fe|+wBceRZ5_+R-<?MHWQlUq3(N?!-t+ljXz#;Qi7AcnzsKFWkwUC;S!%;
z3m}d^l7l?|2tbLcwjxxrpn)T`{mM>4sC_tJc&L~FM;)$qkfK@9gU)<G6Fw2-lQMXt
z>lgtJES<MWJHd{MBDPcV7e$d;03GES62Nhwy!u8uCkic|ILFE(fo_V5dF~b?!2d>&
zSl0|U(v-dWLD@wL4HjzKy08*JQ(JCO`4S)UP%iMV?vz0ap}lsMoCG*&u@>K2Du5V`
z@5um0K)JtWDe@>z<>1RXA^|X+h%=^ULg+5@&;C$`BI*>qRJrRA0Vcc8F<9n=QRY#~
z%+&z`qV#{MFL_OXQyqe$RV|{3xQ)J{m#vKav@AuZ&6VKH8&2P69pY%EnA7q=1QER-
zYl(ZgpafqQ<w*)`QpoAW_u9D-HN+?jV}ClJ3{JwQuSNOGAbp*S_d+jgAl8M!!XQ>6
zkgHv^Vi)C5$fKF^h?gX!Kg&y`MX18wZz>7?y$YzM?uR*Tos2$~I9;C9Q-`30R5g=5
z1jJ!l{9^VV1x1E`D#+QZ3H(+onbu#FP-J$$_MLZBlslmDt^A7?eCo?oaR^mG@ej(<
znFndep2Wn$=SP8bU1!}Z;;P8~Ii-8wHyza2z(b4?rNN!7%!c4MYUn@Hz}-Jy>mpL?
zYUf!dU6|+n(|P=u2Kq;B5K|ALqhGO;KlT&!pmss5d7hnwn)7wP^nRfulge76cenxA
zi3S!XT-HJY*uAea3v^Vp5@)M0VFcF(S?TIO$tbnIt>3$vj%qCnT#Zkef?x;#9d?#2
zZ@AyOy1`FJt~^THT$unsWoqB2PzrjL*322WO&2{~jF((DFo#$Tp(&SV6vPmuM4Z1u
zL#(fIKM~v+F!}q!xx=j#Wb-sAmKjk{Ui0E?w4(+5diHi_T_pwm3-tY8i<=fQin1lQ
zO6>qnQrBXdKLxoKZOrL+sG(QVH#PK&cfeIEFL${%Z6vg&6mnWk85w+ed+sNzC0KgY
zJbHGTj6AX2z8*<=boZD&Cz)sojoRfjgI*G1yZ)5t&H*u`HuF7EMA#C}vOaUET+u*{
zBl-JmKk=a0@lA1h=MFfRKA7}iTn*I*>`66ATgO`;UX!|UatH7?_!iv3iKx-{;Qdce
zyYZp@T_P8jEx@s0+MSxHjChU+zqrjciOJW-Mr8+CKvCZTZc%#zdNVvvF|Aw2=F9jK
zOt<``>d2YO27&@g6_FO4SlABzuJ%2SrVKC$ujoz}lR@<zA9gpyaKh~T%t`tKbI|PR
zId@l10$J212(CTn0qTU@%=nh4MXeRfmHUgJUzZ%(uKeZ$nfy)`m-7Jfw-=*176j1W
zz+2sS2m-L*+LbiBfPs|kvxUMmZX_M~`@?FS07z(8jfc;h0l~_Jzp#lFHE?JoF+UK1
z!`&lXs!V3^_uM|WmSiTRL7R<we@6hAifnI%NtuGT?dRPl`OCPv`+xw`1p#38;%PWz
zZUXNfV24dDrt!uv33HKd0^pO_V`md?3|*$P-1h8)IKGrR7^^A(pY}eg?JqZi#-b}{
z<exskCuvm8f(3rCRlA>Tv1$nEVH2`pbzK<CNrQILLVj3Tn8+;LWeA9WA^2$jFqVDE
z-1b>CKP)>Q4cnJ*0GGaaIH=VA!A5cwmVO@P2ZQ=pmnvoh(1fD{7VZmJ1??5Z;S4`m
zH1G--1?of3r54|npcSlR>Y97_bAE8~m=;Xz(Sz@V=K)VN*RVHNjw;RY2|!?mCY!yT
z9w=-a*Ux;ki9IYd2*bDPic-YScsA0ZjoW_b!N_e;;FwMDe<lE3?PcFC@1nzTZIur(
z>?}~)G$$TM7KHR~W~k}2F0lU+_;W64JMjK1PrC715K0Y>7E2${1-^rSPua4u0dRBJ
zQ4b42h~{e8)ma@dKC|l+#IZwdyk|_8iZJBuzTIn`tOK`O0z<slIY5R*iA9u21a^1o
zzKzh-0SP>-!}dHEPz?R)|1F5Xxr=!p-P^agQFJKINtg#X)qKl;u!uomyqBD19Bpfk
zJR43|@q&nrYic7|9G2ZFukO%k@CW3|Q?~jT#oN;|6CnZprH+4x=cqs<{@CQs5rEtD
zhs_*)l3@C+Oy|LKDqK7eRP!`N5ER@(;)^_`fqHvaUP2-jjE*Six}^!h6=h#7w|_FA
z+I2~Dw>K3^=LC*=-xr34!5c5^U&z4|UpeCr3o7U_Bpp<mL_pd2o_C{-0vx)3Sx`)e
z3hwbjSO=3BWOUuk@3K;aPUW5=k~S66EPOs6-7OAT$08;joe6MNUa@+&Ar%tWI_FD^
zBtU-;b<yvb5<Gt7FWBfr1(%fJAr*oYSf`!MYDiOts`dB`&NEav8B$t2UnC7fE7<tW
zIu$r=_f$Uh1r@fJ{1@1{TNXqHZaN3965)u$-9tm1GzjQB)3MGZ4?!2C7H8;cu;RH9
zdoGv;yf<Z{nf(;tm;96kZ<sp#Nqbm0G(iLI&jLG!>=j{~(ev7eg&Lr{@=CxgP6u3a
z9SkxU1dwSR%gOE4gj$=i<SSabKv6YNS2R+BoI{D8EsG>L`~9z<(}FI<yL^`WtD_9-
z7i2bsR<z(pp2TECCmkGK{=Ukhr2<S2{cC5xkioa6N=mv#5B_5BKO`#>VSnb0tXoOi
zuu$NEPJY#gMhml5M_yG3eE3*ljD-SO2KLSwn+6~v$Lx7yLKQ4|_)Gs0C~#0i^v4mJ
z5zJgq$})YX2EQWc7BO-ZD4p>NxfyH>Rh|9z^MUG+w{B5zeMB2Jw@tn-FEatZ!!2$n
zwrN0gsY$UArVX`Ek7w_gHU*}d+ot6a8X(nR?>A*hhQQ@^Q(FZLN@<?E+}>z_!chWd
zut5U$qxEdN<N<I8n#<6L2D}Ur!QY?IgyR}_uIAkV=xfS|UKr2-y+v1!)w}92x>Oxe
zvc<zmo2RF5Jko%VON#cg4^$yq&{e$Xm^pkpY9w#DLjy`)ZA;5YRDqZEaf_uD=1{!1
z$bGI_9UfZUw}0uO1f3m1EG^&7A)&tF_S~i#^xY!zR%t52UCRG<2>&&Q8&j8~8i;Ce
zrL*H`mxLTd?dkgXzcq7+r%0S_)>Z|@G}#n4K`B^S+cR7}ZVoI9`8AsgL|`<I*y*{5
zfn}XYCfj>+xDYPEmcyh13B|NKzvqOYIrHn;wd>~4d}?r{xl;*zGJg*_kMKicdxEIt
zUUS$UJy#cYj{wFcbRpJCE;z*(>J-am4l@~jwez8h5EVFiS<i+I=ApAl^aa35Y`{HE
zO9fa8<+KRA#|#Jey0+7N048L9{Eal1gJb{R2&VdMVrPzUi5Ig2%&NNWe<UCSJTFy}
zTi*S}d=!_tg<Ub&d{-Za)+FKnALW2D`(^Cp@sE2pZkmDq^5f-1P6-&6yER+cvw-dW
zR_wCz%@o??;?0u{#o+FA(y<t`dF%^MCTlFw6wXgGxOb(9Ktz#=iIDdk#@bQ0crn-n
z>;hF?y*Pw{)%d}?2l8_m+e^Nz&o#!7TTxT-@R1<!1YN6K@R`HLuV1Hs<u(TLvjx_u
zAOU!4E7)>GcpfuxcQg2V&<H;Aj+-8Szz56wOJZ5&7O*4gtxr6k8$zdj1#|Z^9_VV~
zVW)>JVn&H+($b=aptEuGFdH{F@F`wRJI}U^6&C6n?%2wwW=+o47jigZv;WVAP3sCa
zwbFd4w_hLbISDa09_9eEllnG6Z~kIO+xBJmSn2~eWi-XhpB*wBsQR-*Ygj_%Wj@m?
zJ&<{L%xEf`4PKqMhBl>5tgy506SJxwJa}@T$ZMSy_KHotbbQMMxnVOos=0Isyc}TM
zc7+wR-fwVMaWTWLGERDtBpp026uQ@1v%<)GD#sHa7I2m{w9UxYh2uvH+Qv0mL8xdk
z&Z%`fJPh>MIVr0PY$xJU!s)EA;HpA0vu6YGz(3p3Lml9ij@Z}k%L+UzGS=Rs?C?}z
zPriz-4$OE~kvgkcVNcoR(QVnBka<1I(eND&q{sXn@-^7tR8O$qGk<OvX*%O3zn=zH
zO}^DNbz5^*yAtf?%nOW688YiC6}+ajbLXSkf!{4zWBw37#8(=16K+zWS;g|>30Drt
zztrnE`au9lA?@C;VCyajL>t`M%L&TFiA$taK}bDIuTq+#K+JU?C(Bb@&`c=XNHZ0N
zC0fR{mw6Omh=`UPdc_R{V@H_G76E(0{^1383KTwbn>SSBg~KoDts(+qP)2#a$5WC5
zecz0m?P~boRhEm%_q*Z{pJTQm{YD!MHWLjV8*kn9tIoH?9VI~`oG&%iPaEE!2z}14
zEeM7`7=Z`nrJ;#;qP$*08(6b-;`$AQV8*>zg3Koins)l+g70L|-IJUrxK9}P?a!K)
z$jQUparwt*>&Vb_^i;#s>mtxv=T7|mSOEs-1CO=6B*Q!5zbETQM8S<&^JjL4B6Lfh
z?~nOR26alGxxij=uv5<)4dPb<OU?PnYF2F^<6@WXzDj^VZ42$3r!vrv&~`E((1xav
z>(f8ZO2O{2%TuSGsz9cj;yb+oZ5VP7*xhR;19x(R5{YuE;6J^aQei=X9|NJ+Uu<#e
zwsX5^OsX32|NPqTT}FY+CLYZ?YzpwOxa_?Rn+7;Jy@;;YqXN%JjL;glBDhZSBoWSN
z!VQCD-Y-2=Fn4HpYc4~8KrfV|IYk1W?h@yNSu{vA3A6pDs|1l;eNXxJkl~1{Vpz#3
z9a!_Ktvczf3|v3Y2hC+@L$)X5MrgP$+&VIPh8C^@?VilD&0ZA93yL%hPNT!VVXLl{
zYee|L+&t#cO#zl&dF$pM^*|!s%%=K@D(LL~{eYcHh4h=5EusViI319#oKdX?Zb46e
zM*34B>YdW3kQ76hdHXtqP^=EA=3U1hg;3$Z)nX9Y;>Hut$l9nR4X{B&J`ZfDpjPe*
z%vVj|plD6l)t#Df@bHYR+$;rzcXs@$6gGnz0oRb+K1~Q;Q7HZ8LxIn4r8p9jG3XB!
z`*{vXP|;m*t(u_?kM7nxXq^I(Y7B7J3nM|MvThk1(t_IK4g+PP<}jgu@t;XB31S%G
z!}DZK@N@Ck`Cr}^&%-$H{-KdzELf<v?X?=1Jh&0_gr5O{OOmZ+wVEIc;k;`EA`Ix<
z3@`O%00)C`e^x{j98Pea+Xz<ztNYAtzBd`L(G*|8ZKMGniPY~KO$u=2pr(~*6$5^#
zDZH51Q3uBWTXFI+8IU^fW46D70U!UnruCUq4NAh3B^1)df%|K-$=4eUz(g2N;@%L!
z+M{5H$(Cm(ADQ<36~KUf3ez*nM^#`))th5U-h9x88AvM<84#;lWM0aw42|+F-U+AK
z;kgAJx9T>B`J9*8NjC`4w2P&goVyLwSKaw~Pn*NwvYomISrIP&c&zsP>?+n&dMsf{
z(i}Kh?c{D`%R}IIva4?1EGCnEP29E;pgp#oDEmhSZ2!}dKK^wCo4jhkzugAlp?cPb
zOg|~`@aZk*9`D1>jAu*~;uyq)KK2gU6bGWy?`YNYA26?z$M}RM%^=tP<AmiKQJC4r
zA^!4CDRzHHn~<=y8SKgEaNAQM3_ZT%Im{V3I9`0pW6sVLRy#`v{aXa#i2Ddp>1{dg
zoa?Q8_M!<aWLN(<A|e2GSu-cEt5o9S%vKH5dSfsivLe3X;e~zwQdV(+CwL_9)S|_9
zWAJV58ws%Bg0laqZ;$K=#s9SCIXBoEfy`v<leR{7@K3s>PCrqCO)LB}dyr)a{H=Zb
zep#%b7i##+G^h?UoL(AvKW+dyAu_-8idi7D?-m~|_#;+cmQC2sFn}9>g!CEA%pj{a
zB(hJf6N}IDZr94y2Q&RA=?T}EAgbz@SbIPp#_O<fSYlHTGAjJa-6}S)!3EXD*TF-W
zsoZ7GY(G5+$Qux(+*`v~a$^Sk(N9di;=iAXt#r`l`>U`y{TJJmbAV~ZQS4#BU<ERv
zgP@iuZRpA>w)#KXvc&aqjH6YIQ>j!JSU-HFmqe{#-;*UJ#zdyELBRssYbv_17BEBM
zDp<y@>+A}W?wY~=slLcw%+rB)T;fl>B$u%-PttQs3g@u9iQk^+%jtk!Rosb=h9&Hb
zaw4o<UBLRRNmV=VY<ab`K&#iICG6_t{Gi9BB`nrt(^G^<gSud5le@2%uohMZ%e9OZ
z%&p3xKBJTh4!5EO*S0TXzm5BYzr6a3jp~Nqd1FF_LmNu$;is1|fqkcRUNf&_9_C^f
zZ?;gN-Lkf)Qho(12!7B=JGO~Asy^40-rD=W?Pf<<W>>J$OI!TgWCB;)(20x%ZJ4OO
zc-#EXDz@icO>ogcW)LpV<~d5zhR=|r@lEO<7N-4C_h26j+<SGAr!9yKD*hy!zVJ0{
zhxoza>nB+uefog<dW9D3e{ugz&Bi+R>0|hv8clXEOa0nKV%7rg&=I))auXxSQLN5$
za)QWr`^X9p5{#<L*~N4*K_f@mvo?Niu*(@NTza7ii6jSd{Ma^_k7x4jWbndzV4GHq
zk|xm2T7zlQEI=*4@?z;BKXj5KgMMXdfL|IudGpwIh*y~L4O0+=f4!Dd3nCgIdD44H
zc!(9MpIBx!CJDi<%SsP!=c>cnPUAv)6gxbK`eVc^DgtMp9XDs9tHWEL^0PhqoX{Zu
z?e<umD10h7oD<cn2Ev5LF+v1x2;h7_BDBRBj?0f7A6`)dub+yUG$UT%R{VCzG({44
zCUmYvI;+9XaRrAL7x+Q`IL^;mDGi$q4%_HjYOrKc)JxnZ2(FL*wv23-gP43gF-2Al
zGH#HbbbARw?X?pke;Eoe+*Ew~v8ozuk7}C#&@BvOX}KSUa}?ok3Bgm{UJWj+XYK3=
z5rt#;BkOy-N{}QTr?DeT4U(Uxx#f_=q4f3qCGjlf{|C8$J-a%1IEgV|<(32$Q}Wme
zBO=t~P=eX+sl&PU^Qo`+q#>=Re&qX{DhzlQH?f9j0C~6UMy{SL5O-a)53W@Q_dm>C
z^axGhiVf1AJ1-CY2hWRM$<l<yS9u2yzaW9t?Ju2rs|q0W)tILvS_|Bn#*f8VkU{C4
zudAs!0bbQg4?pnI2D>h|5MJJ`e0DjvBjkn><QY2#pUS2H|L5e~L`5p(JEq@wv7!w1
zaWbtlkyMyc*&pn1hz4zTM-BSCiO{F)5|(IAgJ0ZfTy8BoF!@7za`y*SNNmz6X`bAA
z=jj~P;YSCFJrN<=WObnFQRIVzb)X?4ZsnD-KBUjKT;Cb50diqJ{T;PBKxEC2w`Dhk
zryhG)l-_89=6810ub*{5X6WgOToz-HO|q{I9wKek?{{tXmJXb@*RpuTYYGBlj*m{X
zX@U3w*G3Il9jHmbcSed~kQti)`A#w!O7V``!}c`DYq<X7TmpdoP~ddRmIwJAvKEow
z@{$kDHyp}>%^_rMBJ-BMHpsIYh1@FF2C*K}s=65i&Kh1n*CeA2Q{6P8aUuyOyPS5#
zk265skhj&mk_>GL#PA88t(<tuKW<mB1zdRH6LD`%3)Xl_+86y*py#;pt=J|DkkK6C
znph{nsrsW;u`d;2($H|MeZ>M&LXZFB#5JKJI!flRvkXwVIVfS97LX@>mc_tE14h0z
zKdQMe3Z?lo@u}Y}z^j>TEmOEPk9`R>!^-@S_5vF(zi$DD+rLjuO%WlBFq=FOvK<Cv
zcSv&DTYzJH*uKYdDp1;)AKj6>gryxrJnu#r@F8xz-QQXX7E&~d-%AW&e&wnQd7%t=
zwryy6CR`D$Bk|?<gPnN#C%5K{3+C{8et>1xT^_c@XE;5~pTcDvewIdunZurxwH@0h
zq+##ONbRWp68?Vx0096043~E_)_)Yo@etX2lg-0}$KJlz2o>206`>^gk%p{{B1xn|
z3JpS3M9He}N69E6nW5~x_xAJeJ@?*o&$;Kk-|v^W?d#<S^8hU|rmO#6@xr5p%$EI`
zoA}tk>|dsf0JYVf_e|2bK=hQ^9JALh{^?ALde;aBirJCA4mIphS0a1+^fU#skC7NO
zT+|2U&&_G;L{|9Pe9p@I86~3CPt`q1rw?ZaUi^!XXMkHNM`oO-DbaHBi}brvdXPJ!
z>oKZD3z-ud`l_>(NG7DHqtQYaLZmqb%&ZCEqu0|GSV@UopZdtPhU$RV*#~Z$X}j24
z`Q)glo|Nd*e?3*?5^b=#$x&Efw~l2SIj=?TQXo3zG8eZMEqLGClq6BUh^<`J_nl3k
zK!o4^3PXBYuoNe2k`XkG%@O`<6%eC9A-pnn>T#N2m6YmakT!(*1!UaN3);o!9+mzY
z=+l6VNK^Uym%1?hc+y6G!w!BWeWN8zM*~vNy>8)Xt-%`1Hv=M!cJQ_4Is3vV>cFb)
zLuc8Rh=;JgBt9P6#yRN1o5d;Bp?}erGq|u0Uv+;WrSg6oH)D=HoaC(r3oDE-UtVj+
zUj>w$IR0T97kbX8`~8n9@Fza3{`~qMzGM68A2zX#_ubv+o_JIh{GhM?7RwMG5pAoI
zWVeG`g*g>e)u@0`bF7!m<|rQgNMOBWc?Z`j*>%t|Qh{{!G_P0rlX%$NIkoYhyEx5l
zOOf8M%E0tFb)7<K78lEIWXAm{(8kL1UnyqFFzAqe87$`U2u|YtU>-_D%q5IF{!)UD
zuU;EGn+tekmsD>;4<)LYnGWDPr38iAhpQ8Em++?F<Z!ksD&$&Mtllz12IuF2w|_XV
z;2awG$D=g_bar>FHtGf$_={3Rp7O8Z-y`p5woOx`I9C>VT|qMZdHJ&I#l$+^!9AuJ
zq_qz%2AcHH`6~kNvx`$Ezcz6?3$GEUd|H$nMw*!@RsgB!{C~s0xA81r^4Fn*`w_*z
zESFO|^1$Kh)Y7)Pi+dfo%hJxkfJU|ZUwyQe2P^4VGhI<iBtFC{4HQgh!lXdS{VfU9
zBDmyVo}fab8{reTq*zdrQX6TUlLS!~zaFd>5>R~LmcDWoE4s*GjV(mU!HFbm(F3A1
zi2LV8-!ua|N@ds@F{hFP3b7|cl7;)w@O#?6^eY^QSQ6i`7%K~J#4_77PSYWEmPU#g
z3NG~XzX%pCQCWD#^u9bxgC13XUM#08;6_d@S?T;WM0lH%NY$s#h_=jsB;UHhiyD}z
zGm3+W@HHrHE7Xk{<@3e<I~&fAjyZ>n{52wi!;z{sZWmTmWEN~Yog;{p*}@%HM2HZx
z^GmQJn+*|M(p6=)gwbvPuKsc^B6x>OTyUZ1Kq4MY6Q^+zM1IN~<0?sni&|ARH|}sE
ze@|bn3%p`zvE#z`RNKA%v%iwI<hW6&#nXp&x5ZKXuS2uXvWU<=yR2e8&4U&QC(T~5
zNg{{%`~G@DvS1TwJ66%mhu+<2dZ|(<h0JFT&3*YI3y1&E68CiopuDiG@=7-uRI(bs
zZ{HI+cvF9j>jZ@`YVU9zu9K8S_p}sp3}2JLWiVHTK}rO9dc2h~Uy?%{1~XPOTk=p;
zrs1M@LKKNryf$~Pl}C9Q;v>Ef6ruZ9Q<~OuF?2vsQoTP(5gq<-`gnIa8SZ&pqj<I;
zjwTZ9KPu&s(MMhK6Z=*r;A5u!!(kzb;%gu7`Ufc?c{_{T3LX`(c5QUvc`b#6&fho{
zp`wfi)^mOAqEz9&UzyR|ei`Ijbv;9}K^d8z&ht$dPzO6@5tVcoA_`j-`5UFJf_hnV
zKm2UhfFl(q*@IcKD0<CD0>7++j*Z#uyI80NQ~sKF!<yw#>QL`?$wd`Z<P}qJ;HeH!
z@fv>&>LekdgNg0DvMPw*uAb$7vL0Aar<=Vkl1CBQkHXwjl~JHwXE{yGo({j~KI>(#
zfL5JIPkKHpAys<9TI@T30*RuJilqvOB%30vkwHe0wXRGdcMRaFe-3w0s{%^cOrHu0
zQ$SDd&4z9tGK3fDT}Mx4E1;11ip$k5a;Vg>)bQ4bA@mFCeWj9DK!Ym^gZ^96Xo9ZZ
z_SOj_i29--Uw>X6ajYwy-3^dH`Aa`2>t7jx?Dd@-=`$o`FwpDKw<LlR%jSLW{4@e;
zIFGAI$f0&I`{Lgc0;te6^{Gjt5zuvo9i%8Cq7}8jG&QZ9==qeS3OUaR`~tihKJ&?-
zKiL<~UeRYp33R`2rkyte-(F^AT2Cp29THnOtxk=~A8E-sa~i?vV6US*FD1~!k}jgL
z*(yHMt9wP}jUfmV7wU}viXj<$a-<c@0B-r<x}lM_A(ZQDa6T3gMKPnA<3CovVomS7
z#^jIzP@KAO7poUWFTV@f-sc^~KFr93#26aDF`=ucA6*wfQ#87?cYGGG@$Pj_scL|-
z2JLbYS6)=)e>yb$@+#IEeL$AU6d;zQZnbcU3uSdD-3p%Hz$Q8AL?IOe%X4R$OFyxr
z{fC{z0u;9~Z>Mz2z<hl`H~+=4VXVliyd|dd;tm#A)G1f?O%J|j)0~)|Wk5pdtlEBy
zJJ=Z~i8;41T`)ZXW5l1dsOC+bx#P$V_Ovd3CV)d1#`gcJI><?lt}G6GI(vBs>!GG|
ztuWDnw{eGjEGsEc=ElfyKfaAcW<Tp~h|q@Wvs(7O*EjJ~oe2WILtEJBRuF?uwHEj?
zZ<6kiR`4<1S1enro7e*HIlg;LS|GAWSrp_yk6UFm+GjItV%x^wGaOH9!n$x)7vaVP
zUYT<byGPo<s<&<m$ro!t-Ve6YOs+xvNy#<)rylEAGc&(>9<v5KD~ZhiMbU-xusiRF
zRjgs1%_+x&ebpho`H<P$=ihOL)*s#OYHL_i!R#&jHZ{1JFgcuKnuCwU*#!!9tYRJw
z=TcWOHF#h9`HF9H8CLN(^zzV)RV>SPT!UDk3e@&>NjrBMF%_z_mxCX#VlhhzU1egb
zkVajU-{8`YaZMK(^Wm#l_-Cr>u*WJO_&EE4jzceYVrk6u1=||-V)v|~1Gfrryt=Ye
zFw&2y-Ig%zxW9&76Rk-QO;(0TjjNuTb3<5iz^HGq(K_~J>mKblK4mCZ|LaKKK8gt|
z_zGN-*uauLa1lt)mB6`Eo~tWs0*fll{??<uiTONq-!vvEffZ^uaXmMU@rCi9lMLCy
z?9{%VqN*T6pu{wP4c8p@H~pSI-^w=j^^|V9lLZ-~9G4=kLgukYmDx@6*}K^LaJ=wd
zjUp78yEzq3Enw<)-OGh_6yU|j;ghtk0AtakjVazsSWDP(9;+ToIL5H_;fIO>`2V4M
z`(%3=`%OQluE|P(sN(PRrdQ-)ZH}48IA;~}UAione3lw22-9WKpGj~_tlnJEXC3Qq
z{P1qLp9c6&pXy9wCV~IP;l?W4P3%wb4W{Lrw7}3V`fB8?97N>^Jy~$s#%MIgbjED<
z1AE|sD92h^IGd1O`Z#$P)2K3x*0E#&t0(;qr^&K#vn%4X-wp*h9SS0T3uS^t?vlEw
z7euH^d-{#noC+HB)SrDAV1dWi{>l0Z6XE!pgtp{I0+>DETR&{T1~ln%Hd9$LaPF;>
z$a6y)D7QYED*BEcRN1%AudB;Ivkd)s?fgDq@D8B6WW>3rgN;kIZPH-PjB(M{(E+i8
z`{u$17f{CgZPrFg1J4^C*PS|gI2_26?fHiXZ0Tw;i!f>M5z@REy2c33CIfU&hxov)
z=Q?{bvotiX!ollKEKoZ&m}(~|2s@hXj|b+ZAYD~G<L){u)IZkv%5_s1h^iBt*QTW4
z?kDXE%$*(l-;6wFOb~&TckUWxl+s|!<S^<v#Q_iRl>eh%5ryy9L{t;iq=Cg>MS~`V
z3%b18U%Cc}LsHnkf!lG?F!JS=$+QO#9LK3{t+7kOvn9K^W(FCEJoBRYtpguS-ICq+
zr&bCoZ@yI2Et7$=Ps1_ZegbeqzjhzZLmA*(rE4;LLWDBk2UR%*LeObpb6n`MEV!!*
z2#=P^LRSv;@musFAS>ro%jQmkX6xXiv3w-BTV-)F$x;*|817|PIx0XvW##D?)$;JB
zRhfMIr5HR($ty9GCd1!1<9`lSDMGma2>U*I37F`f-?+uE1c}cp%A4txV7t@TE+tSB
zc4-DDX?B&MZSnohT{mU8)$jEya#jkC(oGp;{7{CE|LKM=kE?*_9Aj|S85uYj>RLH@
zMFn1~+ew6EsDVsX+B@e~BFs=c(a2v=f%$iL`s+e8;Pc6h&4<czps1=Od|q7@gt?LW
za;O$0yI-K*yh4H^quuKvdv%N0bFn!oIxzKl<)^~~c~D~gP$fU10-F9Y`fQbY(6m|7
zObk;1y=$Rk^yVrM_vG+3_dggs4jCt$Q&5C|#36MyXJvS89hNsT3n25pV96sz5r8T+
zB}_mGK8$rHhV~eMX>oDahayD?G(5D<yEmtJMd<VLD?_MlbH2VAtO)n%8vBb&<$y`R
zE^XAx2*y4+#-CqMfD@mLwT^8{1F^}d+PuLCMqfDD?k#})S5z(n!V+-NBk1-jpD{=_
zv9!pnkRajeb<ZbeBEYsOC!48l3~T0_GX4+b;A6?D4SQWa_)KSiF+<51Og(QVT-+kU
z&OyE?nXByJB_LBqq&9{e2Cv$AJsCJt9rgZN106_l+*^5DY6OR{rpuciQs8IPLS(zM
zg?$KAD%!L+0*6q-JoR-6_!1TU^4tAk?ALs1?vnvSxFD7(X!lSIDpLX^G7kL2BTE}%
zJUk3RS0hjQ(K`{Szm&;e{%!_u#sB!K_3ioZWWb1Tg%HGAeD}>aUBi`=2L25=8o;ns
zYe9-0KU{E<)rpwi!Ov($a~ib*Op*wW|1EGs>!~{tWv!Ix2c7erg*8C6ZiK|^e;lw8
zA3m$%O+Zsq8(w#^FpyV!ALdQR26q=(8(zCpBjShJkg5WGVCr1*#=03H&20X{#{p_I
z&Qh`dw^|SURy+k+gy_IH+`qq=mIgilc>3Mipf1q+b768V1o);CHorJUjW(`Tl+`op
zLR_%KIB9$rThQ-y7tN(cn_RN|UHUpuqtKAbv9X5fu~n~CAEri+xgVxI4Ah3{KI$`r
zH49h|U7U0000CLg-5+<W)Pl`+Hh1ID2~5fI=L7p-0xG7Xq$${^1yTV=c{HE(VdxA0
z$x1;23e29`oN>?u*S!5HuWg#JoG9y$w;QR@qY452oB|D?xHn7X!h8tV`!sm%*?lT>
z=MR0YH<Jd4$E=fatO2L*&JoG<r9w5U#F>A7>TujYul@IrKRCxg$_(a7g+l960zP!9
zLAP%9vlj6|{J9J9m0vIwD*7{Tk#DL7sY6~pmhNNtm;}{>f;Uu1YVam8u3QzwCYiLk
zbf<ChyR*#VyHuz+K*Ca9SrsHS{H?e9=WrV?2Ae8B0#fgy4fA=c0{5&`qvL58@xH_C
zem(?h^x%rIh^nFr9C>w#n!vk^o6CNzXD+2i{5;xk{oX5sXv_QWlLD(aPq6)9W&#bm
zqOR=4udfW>`u4Ny39RE28XwPE-`R&e?H?W@H|*((=7Be7gf?*vG0|<G*R;sBGe@;-
zk6RZftw?8y+qm7vjazq?=ul^@tAF(}88(w$kBuJO#h;n%<GX%_9>xCr=5aoe3=8G6
zO*wlxD(dTj6<10|H2b?hvQdc)q269^Cx<8ze`43i)bC8FS5R9`<E<hPmJ&-Fg$c+e
z+AY58D+@}u$gUJ7C<4*+y_ka!HA+LLb(q&!5nbk?m?1X>5O*_kdGMPC1q-#)*b>>1
zCVUIl`za5Z_Jfy_?PyU0Rb_E#00*McJN=x-L>?a87+Z)~q(j-d6nPhhIMFw}PSWHD
z3C7g^*~JvoqxRRkeeC|+C{6S%QP+h8CPz$;&7?3QsxPvSeZ+W?J;TH~R{{w_C`JeN
zXE7tc@ldU+t9(dKH2R%ynH(HF@ns{!hZUK380)Ys3LqM<UW&^%<e>Z?lYQVbHZ*Qf
zwttda7=8QN$M(}*4kByU&5Wnmk(g-VGc{!qbWYW3QvakJfT1^grVS^Oh%a)}`A-y?
z`nuK3`O86ClI4bQ8yAv2PIcu4E`~y9t1YkR$^rNNTzc*+Jm}wh5*4$Q1d4j}rhSEy
z1T}|~BePWaP;2GQ&G2WEh*9&lfA0+v%tee7W7q^x2G+c*ATN!!(ikH|ROCTG@#Kds
zW+8;^@+3^^Wzan{lEgkP1(5k1pLI{}02+>7n=0~?MI$?}-|Sc1`%4s`_Ii;B%DDF1
zxL=5bs`<=b*%*=GRFkS}cdsb&ur|6CRxgk2<7Hk&uqr{mLHpe}PH{xDE8%kFydv7o
z%9lArsSJZ%5Ps550>vF<Z43+|qqszKZM{9NygYD>T%0P2ltrg<nH7}K(8V2v4I5P`
zW(^pf{wIa_jIU-Nty4lH=Q9JUi`AeY`K5=m=-%Co-4`}N8MP-@o|Vwhfas0*<Jt~H
zM7*1{lboQ88XH}dVmmdVWB0%Iwm?}_e~y29EngYk%yYlMkf;rXZ$3tR4wpl>`cBd?
z?DZ$aK7Vx7K^F>jN#7*gNr;!W^h??v=N=2|<}W+2$0O-~_uKNyBh&rI`PEXCkUA@q
z(M%5p0}~TF@JJr<rMXR3mXp!l#Fc3)1VG7daa*}Z9(6OXmy{n=M6uqJFCDHMfD>ES
z4a<M>=&7Sw{%`>arOQ}+CW;xt8{Obp;ivM*XMe|c<{w1laLMM=>uf`?clt)zA|Q`i
z$_f<lA}JJn#&I)}Zjbwp<V;x~Cn3TAw#0*PiX)_4)^^0i2tEY)F*7;sai!0olh8>K
zG-=N)o8@W*PCrVi?#RfZ$#ETQ@-;t_^Sp6+!qEukCmJ_88f1`!sqv3}3|uH8y{fZK
z%?OMS4HWfQNh88!;@0Fa3tDf}gOxQy7%@qUDg7*oE~p-8b)4CU{J5W)spjtS<7CY#
zMG*;P?tIeVV#p5Oem0)g-OLaO&f?$HuZtl@qx(nbv*vNIyemJ`YXC7eLh?C%B50y>
zQpNL256;Qi7MOFv0Fo1!?~0@eBRcKCk!G!T*t4G8$Azl^`)w94JERDpo{<Qti&?#x
zgdnaL908#I^3mGQa$Xc7e&LK3aSUtPrK0a-09X}q-J)RRMqg}ZpE|yu!7N|!J{KTk
z@I|~R@Mt^-B9KRA`UB@N-BnuGQ44*zq&WG|+K3G;FV7rod$WMqpAP5a^49}h_Q>$l
z$CwdcQ(`=sxQJzZJQFOPt_wz%zTDln>5)cgx8E?&BIZ;%Hfh?V0|{z9UmS#JQMv06
z=c$YZjJ4}xpa-1}9Q@Uw)yF`MXb%Kb*Z0h0C5iJPCT7|YclzCQwk0LX$o~|lGckwp
ztrNFi#A|`RWbvKK>TO&vCfa}E!z|{J6um3itqCU--<xj+t>YzM4l$L4Ok-u8BZMG%
zO&D3huFSk&#>L7AksdIKX{u<%nMY|rIHQYJ)tLo6fpW&?2KzWBA9X+1YCs(nq9h6o
zsAh2*)!sw+?g$o=YQ+!6>L8zPPWxkJ9Jk1$PU~hJ#$<P!?sw;@K^88_>G)t6uYa{*
z8g*n4tFE9pH^HR_6cOpZjbHome<zdNX^Q(X6FRmXtteICJvwpc>SPc8iq+_Kn^_-L
zA`#1)zNP{dn{k45<PMybVEjpq|1b7_^Ud;vuL{`J%?a6Qwcup-z~`(x-B_i<_~g!n
zG93QGpE2|M2c8&XNp{u#gH4#`1%C8Wh6(dv=25$9+_RwXM%0f^EG?QaxIC!@{`TbV
zKMyN#j`GA;k#9OM%kRD)(l07O^=;8F!GeW2dOpc$*3*tT#Mz#ExIqT8T>pvg#T5LS
zQ*PL-Z98^YZ;_=cnhY^@4C6th7_7}+<Hi_kJJ#P|Cc?-~242tW@yl2?*5x8K&%0Nr
z*0&4#Y^4Ze<lAl>5k=Urn@IN3(RM6Tu3h$UumWr&n|ro4Wf-_}d&d80$5Lab?%vOr
zhdRS7&D>HP8x@J|%DmZuWi6e0=+{pImVnp#i4$Ki@3F(&*@2xHb;N_3&w?Z<f25Gt
zIPeYQ{O!k!^13j&KrSW6Js&a7vl+;0sl#^M_p$cyc4Pd<f*gf1Wx+02=uCFa5A4zN
zDBs*~Jy?Z&uJ*(<5k{QD8Ir#L#QH+E+|!HyV$yT-rqA?<(9ow<)x6Y<9Xu(VMR}<Y
zi)J6XDtccAd`GuUtx{Sr!`zDpLks&cim**f>q%)a`4KxUY}1OlJrytc!a0boi1hB`
zIwTG1rMoLhvh5g0>W}667ekm`Hq{f`d@1m7*Wx5fbz%k+F1-6sjbM|w8r2G$6!drr
z<%JyngEeN8dP5G6VToAgsnHNg;Hq`~7M$LL@vp?x7hRaZjE^)Ma!pBq#Y-NB|0Mrm
z`=pu1TI;8<FPCih`MF4dm$k-r^im(T5S(uQ(Q_6fWR59Jwu^(MQNmbLzyM}K%Kdyv
zY93?svt9_b5r_X`wBFqm8Nwuf*3O<n3)q38kaqDFF^~!jO<7(T#u9Ho%`A;t!X!D1
zulCxD!PWUIH+vUHF;bMqY3|?^th}1#>bqW17&>ZZ>L)XS@y-c$KX|!@^&5G=dgCPu
zC#gC6yppFd)x3JSKKf1Uy^%!J*t!UKvD>c+8_!|_GTD0O@3yg|=Zn3O@ghJIw`^@H
zIFGd@8puprQh*Qh5tck@5jZFtkC%U1z&vSg=}XU20=MmD9kn|LV4(XC-@Di)EIqDc
z=V>_s2H0i#O@0Z(TTk`E;ae+MJbuWJ>mv<ph#$FSD<%w%dE4#}%Ga>U5aaJ?oEE+$
zCe1mA3Bk}U-P&-OO)OB$_VcOZ^l-UIVf@9oAUtXqN?`2V#svR(<g4#zf-~51e1)4J
zP}}Oz3Z0_>Z$j{F0wpUf77{WaPYHmU%$ej<j8u^GVY8zun+=%FS+3;Y7J%Z#!KYNc
z1Q4^5@Q}a80q<<j(v9m1fTD{)>x;iMa7Cr-6<ZJ&%%qeGZ0#2SiPrG*dfartAR%~t
zq>u+nZ1M6_%lwcoWYDg9n;s%X511Vh<%eWr^NA>G0Z3>lvOA*31fGvAXC|8j!KXdD
zhD~1po_*vuG#6wA8N)T}<5dS>MaOBIkS74IWfd$c5E}$(U7H*V5rtB7rth29f}m1*
zj$S!|0~F#(h3E9e;kVuqw<`uh5Pv*%ZX%Wow6XWMFG)#44QF`^U9>P%i`ib^DB*!x
z+mDjx)uh2KLg-U7j|gN0_*RQ>^FwWl<y63VB6J+^$+DIa1@5F*+Oc_pP`&WAn*FOB
z9I3XdT)8d=7k08WLarPD{h5V0H*E!=s8Oo7mX?5Dx+ATZbwnX=(WTAAgAD$*j~jl<
zOM$F@)5z6!F_>N$VP7v)0!qqH@}#FSVD9oQKKZr;OoxvW6*iT@=p=i4+ATTIi_A=A
zwU&aAgMxD;O;uQzQQRLkuK;dO9Sh{8Wxyj}FZY6z8lYw$t;Ri_B*d_N8z;y@T}Tt@
zwY55^g>`6MDNune7mDjeJ#xTsvW@2&g9bc4;c}EoK^^)X59rut$%DrY9)ihb4Y=mI
zcs6QC6TYxL@gW{jgu13d7M(y1_&9v^)1|LE;8T(#)9XS8zn_9?_vkg?XX^6Z+V}d<
zHNy9(XO#>xuf9rI39G}?rpb5k6JRbe_+q7p5}Z&eHJC0^1^ynDd<XfxywvhS^>>C6
zP>BT75Pm5`X86KOD^DZ1koepn`k4|K)*atTyF-T8eZ%n=eT?Dlnc_41Je45X`|Ga7
zwj6|fsH;j=JqTZ?uP1(9Aj5e|rPgC9Qt-?v#QIIiL6{$_GjuW~1Fd<18?T%w>|VVt
zWx03|%0uV=t7=z((lX}rZF4-Jd(+gyb@m|mkbcB0|0ID&!dT=)JtJIx^y^Yb@j+PP
zR7>N$BMX1eZzMnITgCDU|GKf6AB4MNY}ug)WI&LmqrzP9H_phyEhJQJ418?&>XV*I
z!ddTNv9E`>@c+P}<(RZF9JG@|PX)!{bZV%x_f=Y?s!FRH8fFCD<G&s<ycB^&#!CWu
zNz6!(qOQTH)ew$Zk+RRk2tsc{vGM2_8#?xxm+O$6A&|eB$2U{+Ld;^tes-J#m2M|E
z9gQ)7*yrB;q2D<`&?#RzXqgi=-8^zGVH)7>Qg2l`&H~3L8_!1+av`#(^PuPnfET4h
zL5vA>AcQ~u?*j`r>M}(gsks;wajC@#QBlD+-mi`K<hhZf%D3y8`TCF%XXUITy@u&$
zB%ZH0z>S3P@GTRh2Xl&91oG4b))Kwdba$0&FE^QG2@mUnmEUMpaL-Td1FdGv+b>+`
za+scK0k1AZzn-kGp!kiW_Tjw3J6tGp^?_WhqYk*HO{aQKjp3^-_sp`LxDf3~%A?cS
z+AvzqYTM_sh{un`*F00>LX&G7!+Qw@{`St(3Ma4Qsk+{ILZVzK-zrb?rHdB)4*&rF
z{}h;MJd|%6h7sAa8~eTu#xQ2=+gwOU6e5X~ipo|ZDrrHYl1L<FEs{zkq|BAQ#nwV1
zB#D3aY!SWletkYXzx%$Q>pqY3c&_Z`GnuFSW26@~l<!d>phU2tzsnmVC|)i$$xvp)
zSOaU5m-+-0Xqp~6X>J6OKZTBnMX+N-_p)@SF9D^^9ZC193?b=_&Hcfw^~m_rd7`|C
zfE=5piP5Hp@YuwyS^5qa9(|W#Daj><1XX9dw~Yqi-hNS2BZdbZ9Rm!Ho)g0(Qx)b%
zcNoBlI0unOt{d<oBz;>F6-V<*U6a6ReHe26`Q)}3KW@xB7W%eM9FJtJd}>S92R|FH
zw2kitFd@Sz=~tozb`Yk{ppiZteL*$UY!XBo>#tP1AW7tiod}E?)q_)qe2Nwegz)%_
zT_cP`Qb;WpnB1152VEjjL!aY?vCne*C8@L0cw+g7aP}TO@K(yW^7V)aMs`bia+b>A
zrr)zCzG&z{{jEE7J$pqF0*rfw{>b7cCo%1Wzci@(??$t~7Xi_ScRbBg9*aaQ0<3#z
zFm(OLmeIXp=-ap=@%fMfE;kFwmm>`_Zn3R9cT60|#-2Y*(^bS65!c@-<uuUjF!z&8
zk-*XEApeSWO6X(~UszH`1N%Gr_uOhFan*aOMSVaCCkAtmch%CMnQoSObx8{ET5Z?9
zUZ;$1&zsDqKGUE}b-1AwWN=_WCId=TP`J#Nr-xM!w#vDltGXeJ?q{~A@MWsvoWVlt
zQ4>9QCHU#al|OR$C2H`?z63Q4tbf>$5Tge{W-?CPdI~7_%bi^_f{3+(QHQ&~>cOn+
zFF)&P1!R2_RPe$_9j{Z5HjmotL$jz!_U2MW<nan${AHnm7apW53%BUQ-K~pT3PP3e
z-p)cYtDq(}Jb8QE)58G1HeFynr>~5r4E@^HR!#hpKkneSYybhL)sH@3P{!Kp9qXDy
zNodzKZ0GyX5Cp`ldp?${VBLw}X`MeLT=cm?m<llh${7C=`(afS-gf?(^DZr{+}HU{
z5R5_Xx>ua3m>QBe2Hw`CYGD>j6HQgx1k?qp7Y!=ZkhSe?N%d_lv|%54|83O-LhopQ
zxMfYm_$#hKe&Jf^cEa$m&#)<EbMTvr)Dm&HF}uk@LJRYa&eZ9?F#}$8?Z?52>NtFP
z)h8*Agg(WewUUa>;ZS}WZ~I|&oQyfGN~zVvHo~d7=(83;zq3>NUAj63F&2fi8#T~k
z>x%~pwsg>xO+I_`o;u!t#i?^5TOD7Xt%l)0bP(S-c~<p?I^KKvC!^Vwh!uwm%l$V4
zeCgD`r0u7Ua}H`}>Hn!>R{9HL&qRRlwk$l3;_BEGDiO6VPz7s*^Qs=!0LTk<(5H)u
zXe+ny`@xVB`b{&q-+cwhG5=)mq)fy?waD?B9g6sV%R$$>(*Re}0-Eh&)No5#h8Mj^
z9<{0U7w*jg==5NVU7IR)+*epV&yc~CiyVc8{{d7I)qM$Es@U0D<a&Zl3b)E!iTd~f
zAoH+%bdjD4eiX>A+<!_OJNY?EQ=S0mxomLY@KDCGv7qhIx&$l?zpr>O4xnUqf<xrE
z5|%k8T1sk&pz#Cu#_!tz_`YQbM5icX)PCzvQ~QK4v`9NKkpPf4PTG-Es(^{tKDCS2
z3n2f?gCZ&S>98^eMML-G@xJh5{RlcAUYoTS`6y3^zP(DDmX~Gmf`z;@p8+pMXuT^}
zO16LxCKfIAdu8yi!JZL=JKT7a9&<hHuQ_l$9y?OdFNLduXX3qrxzHj=zxb%1Ib8J@
zb~Fr=#Ejyn9LZUn=q=4+eWKkAc4r+3@llb$V#};|obsIb@iVVMv5^_XX)45ePmAF#
z{a&?`<Lj|jVupJ>&lIME_OFb5CSbN|j<MI@^|+~#p|iwq3W`c1{^tFnc%|0KgWHx9
z$Fss;_?|X_?Hix5+pvhD!D%?w-N=c_Q>pfOlg1$C8Taz0g$R0U?Gcqd#)TZ}mp_T^
zGY0k-^_qDZ!g#uftxan)H<o_Bc}Jkv2u3NteRKGPv3;n@!`_w$zdbm{)!}XgY-gNL
zW0nvulGx|2`|~30diMR)E<<SebEr$jMhNLMjjU@$8_<vPJnx#PA-o6>(VONFLRpb~
z2TdM+oVEGt`)|kq@^r>#9s32*_^JKm-b4W$R<~UiK4JhPzP|z^TLn>%`pNp`bwLc<
z&XC|>Gl1kR^RHjN7sP=g?Wk|ZgmA+7V~6lfeV}#hIv6t{h=i!EKNfw3G1cgd-Wh#;
zh_15Ww38LW4EF|sSYHv0rdjn~@74q5;=E4<dxg+?<MtqpW1@I|^EL0nGkVZm-FeRO
zxe#9GvG2@HBjDyXTC1qG9>fo5dI=DP(P_*zqx_8+=E#z@ZNJlC*|s*ly-*k*Jmk<I
zib!DTVgIR$Y#Qh}^A}$<6TuYuBgbk&Byn>`viHw@H27&{UbpFo2ri{a^Gkk{!uO7X
z9HA5%?AXn3tDGl_?$u8&*89t#0f*1bDhD&Shbpb;#|Zc?_iG{-yBsP{$(Gvuph7fh
z?bZtqF{C$+?;Nj?M`ypsb7JjOXzJ%#sBjU-r4grR3AG9s9M$;HrGW~(R_z<~_ex;e
zIKh8=i6Sb+)1Ai~so=+WwvQMqi82GRcXINTuw6l0bo3(?0=aV(ool3!XEiL-J6{>k
zY<W_#W0ne!+|pPr*2^&SGtY#-SOvY`$b`Ge)4+K|#GSHV7I!Ri@>f=<VkDs*|9a7&
z``<G<|3^9eqqZmMUA-DguiHS}Q$mCE#_bhqnhNOF9?`4RNyOkSlaf*Vdhq=7?)l&u
z1^mn|)H2wkj*nd<bk$;+{Efzx#9BqP@~KXZ?9spm5&btyeEQI%wN0q?suC79AJn=3
zMic$ah&0m@eHb-giPzkxjEVKDn=ciT@bix!;?27az~RLvIjVsQN<3jd|L~9&uF*G#
zkE<9$?Y50KH>_7hF=dw=D;_eAf89rPUuDko<-vnz+f|Y0SNiO}^JJ8$z5HwDhY^qx
z)$jaGQp3F?cboj*l5y&~vfn_jF$A^p%|8Gl{ykoG(|&-AHQnCC!@W$7WEN#64-)aT
z`<kL$H5mz+0ja`+rVzQSJgJD8|J998+Y;Q!Xj&fss%Y2@NOcWilD+EK)gfp^E@yIT
z=Ix7<-_7AUdH&>HZ4LDF%Tf9Bo`lkmyyVlmEWjhir7K~t1};BRlJ~08#1Q8ULE$Po
z+@Gd~yN7C^fAXJPi$fa7Q?2;J&=R1k(?vblM+0BO+2oc9A|Cy5t}QeJ;A-n&=W%rn
z9EX)nvs=}$QcR(}YXE@ID4?s<rjC``5$Aqosvt$JoKIHF5`wq%#b~&wV=L*=?}J~I
zaA_NdLy?IkxZBIqj4FwEWT(3Hgrp*#bAI(Z#?cb|bKJ_CS%^sdsh4QkB8M_Hj8eC)
zmY`MGxNDlKhC_43`Wdm(xKAyKw$aiOmcOw7qPeKzrIF0X^AQrrV_B%#tzrqe?p=kO
z_Nm~})DF8l51GBRL9+1U3czkv`i<Vh%7_W?*jdOTXnu>)Bi{lr8nVGMB1j3J?&xS;
z_#=qK-~xrLO8`b3BD)<z6mjiQy3Penew2s`r-<1BtYl5Q%7iiJb9&X)WSIwd>|0p#
zU!%iB>V)#%H90JMdd?$%7Z+w+IOW{6pAL4(f&g7WqQB+W)MW8L9q!uFjq5R%o>KFt
z(E|Evmx*vd8l4B4vMTPgV`uU4o#V<DQ01eoHuO>wV?yt@ZjN4u=Je8Bzq955YOW+!
zngot>-VtSc#)c<sE9+kOnZdxnQOWI1Vz_^0`SY)hY<RWqa|g-93?ArGpY%o&a4z7a
z)to#VCY%4-zW=5v4CNg8{%^A=-ep;($eFX@*Yr?pi4_yr<IQ@ugqcfwpOdEZQrS?k
ztFWcP#{^_PrpX053Zn(*3~5z*9d__M&u?iqhI3|hx6eiiVdT-C!Qu9GSlIHOEs$mm
z!u6NBms$id@~-X%%VKsEy~{N}l4k_DilG7Zx`J4;ZE0AzkOQau3vT&|8Nn}s3Fp%R
z0+{RMe%8BwJys}cItnEj!c*(ixJ!lnc<IuiRo+!j%wJUP=jJhl%xY2Y2m(L)PCk9y
z?ZS=3*VPc3XaMDbf?2BNeE7Yk$W*6+2QSE<x)&s106DALwBl$!EPidLEAPAkf7Z6!
zD>1oH)hChXbes=wwg28@w#<j7q@>m7M12q-<oRS~@S##&-RM;mz=yA^ZXK-AgG$c3
z@7;&_Fio#;e;t!E>kdu$?c1&g!z0tN*F5;qsy)sv;FAzq9LWkApQXWMK5Kl|96z4q
zc6bb9!kF7YUUo{S0c}r)DPNTUUVYSN?I9qFI$z7ghb(Cj>mb<e<t&JGF<<w0+cEhv
zv`>fUHx=F!R4hHe2;$n{k>0TzV)*i47Q^HLGlwTBHOdh}XpsBvL*=qKrafWTSUOCF
zcIhkH3rrp<J)YR)87_%h6Au%5s8sm#c34|!LKyddxV*cSQyN_|tI`wKQNh9EMdtcu
z5!{~^YCBjag9Wm>2U@@C!fDo3ex7Hd_@=9SKrw>Z>r<YLpQ_V^&9`nWq&z1e{lmJ?
z`<Xd?P&30gp-dM<3wRe-KZ>C&`!3fuRYg4N@N<&&u`aAwD~G3WNT9HpNxC0d2?-K{
zUwNx_!F=k;udpqW*!NS2768g9hG03|sS9(?Z69vjm%@3<ai{y<DtN2kLAP&N7Yfg>
zo5+`u!Fg*^uV0KRwh8rTyXaFvg-yJ3yg(N3$IAz9eyoP=<dtm?&QpQw>cL4TOL^SB
zn?7XKPs9_03LC73sj#clLzOR50Xh6T>yK>EK$*o(pPjpC&~QU*>?E_lKAR(Ui|A`2
z$9J(n_Awejc<PJ2=1TZGl63T}3kfZE2pr>0(gVRLea?EKGES^5Rw?Y(LMiIoz_*+A
z!A{z-L{(G;Kg6xoUf4!PJ1+AKA$bGX^euNV>7NP`$`~Qn6}6FvKxdifHiY66D$mc3
zsNzYbEgdggw2^yXip&#kBiPi`a-F474gW|ETOKsm!L~n_m*S+2A?5Pl?S(gp2x(O@
zei1rIS<UdyH)Y;a>VWb~cXjk5SvFq|(ZQ>7LHw!*OkubCkl$Vw4Lt1W-{_*CgF#L<
z^{OdmU>(!wSDU1PK4c4W*adCeG&Hv`USkgA+2Y_$s~UKlpuFW&E*V35O)eYtT0n}d
zv*&`XCOYT3tjULI;XJpGRQ4zx1{8LVrUz(ZZS^gpKRXH2eZ5bd3kDEY@{n9Tpowc=
zcwdC?(!h7)9{ub+08u}Z-;fP7vAMlak`PBkYMK6e8(mAdS8UgGu1^DPIX}q#PEy4O
zH+^l6gj<3M7e_(9rv{Q*bS0j~E2F}~t7pjtmLRs_Zt1CVb-XZoVE5c<Ma*1@u}!XJ
zK9^}x=J-X#xgn*jGG-o|)_h4;Z?J@t;Y|s`>xtMH?pSwIM;Z?_#*5TFvjpMnJAXNO
z)bPCeCW-M}am?~<yJVMP3BAtlzA1lI@YI!&!(;nIvFqT!@5_fR;r7LFQ{V5(C_8z3
z<ax9ZJ|gC~n=#iv!@6KQRj-7S61VN{PVnK8Si*zg34k%o-fow#h;Jx2Kd9a0M$cF)
zueMx((zN`N={N<PE<VUdU*^DkdZDy0(^GD9?clvJAcsC*|J~oWejSoS?6rF4=|E|)
z6;*8c|NNhv{q&dxH)n;mcG}Qkm-5M;{5Mj_H5}nD(zePla5+9Bk!k@Q_e?gk{E|TP
z269N6;R>U^OSt;xfH^#(RjkgD#8G=A_dC<5KMa-kFN)i>%;A;YR5Sf50qf(sG#XDY
zF~nzV6F#3ZgAtJ#=X!!D`gi9aJE5?|D2k3;jB7Q8_3VAT4;jKJGQ7E_z+s6&9okeH
zq+|*|a;1`QUKYX~QI|bi$Cel&b(BYoCr!XTa!mi(DM1{Y9b2g!{lnOx51fa)jX}eB
zNw-#90MotAZS0L#81BKZ6K4&Lq1@X$J~V<46E2@Eb8i33NZ|ap<589oXoPu;UK81X
zK3ggb9COzgI!}IAJ?1b1>n|_2a*gp|<ld4G{M%Wuu)-si?U*4r$<`dHpW{Y?&Zc1B
z5LWz79eVM2*Z`us=HI=capOBi#IRs48^-4jM>0GOz^z9u*d?C}9XWe8?i^i*bSWQC
z(@*;FW9KXG*T9AAJ^!O?+i+m5s&I|Yc6}HQ?A<)X&4t(ABp;ToT8}rA6DLcU9&t=v
zdGhvOPIR0i-#516!fj~}x3>7`fmZ)(+b!Z;`2PBh1g;<4_;@}VZjaMILhD6EvIiFm
zYPeBD^LVkU^n|ukG_yZ<_#F0SaG{61^6~O0K2%$-y3awNL0g!}2(JS--hTF9yz_AZ
zGzgT;Tr8!6gq_kJjTLTuHha^X^R*yK_9)--b)iD<@cYg8+IdiKhSn7_CWJG$%i^y6
z(S?SYMDFJ;y!hxTC*QQJ2v)>j*7|x+7x)JKd%urtz~rnQ&dLWxQ6a%?>myHHXyJYP
z^9QpJ1$tkD2d@b@y7sl<3_%wX#p^dR(gbivsFxyfqc~<3<a`<IrodX8t(Oba(=KR6
z5H)%vux-!dp@=*R2s)KdoeCAg%X5#H)DxxfR^68&_Tv<|vgMqToS!hd2K;;$>LG)~
zyMs>qT`54nWc{1{hzOQs3ZRgU9QM>HKe%Q}fo*KvCTq!}IAxuxyh~jH%gQ-^+}EMN
zQt%7McINsXsSJm{F;_%4jk^*P6bf{<)lk%>#W76pVR5#v5}plf-@^b3q^Ca}PmPnn
z6Mhz5CO4GvPq`wwXb%PEuKl@ufLjV#%yx`NbgSU$aB|qz6bgj8wCv8kCyket#XnwE
zQNsgnqZ1L#{pOL5s1A9_BEzEGZQ&#ld29dMIj^e=C)gawCM0<*DFg?DZgq^larEi!
zd|miF?*m*H6>voGwtJhNCTggKQ}nc{U?flxb2?TLRXjtk3nh`Tqt5lmmJd`I?HG!8
zNKnGhYh`4iJ}rz}jXA1*odzeW*>>t)SH|6uwQ6Z%+IZKl<z)O(Js48yb#Tm6!6!V+
z5?Xppj>ubaMg-`C^At5quv8T*wyMjJ2^2iD{yzhWa|WR0W^&uOS`Cx3k2WnHry!L&
zG2mZn2*0==iuP6!aal_HOk*_#Z3Q1SZ&)w_-Rav|!S~hCb1@`Y^)m%;$fB9PqX~3=
ztF>E>)xh~9D@LxZ6zuQS6i#|<3a^DkYHe+pTzJJ-`Y?@xQl*u7UIcS!OY_np4{M^w
zulu$-IuzvW)%jW%ZUHak`wEA5kx(!{w)HMe2Mw->it04e!D1;;HGt`F?;M<EA3P>w
zOt{_1(iwmaZ9`l7>quy_EAw@HFA2Sr0-lERTEduk=V<E#5+0zwO1|Epfj4!B^ySW5
zg73wU#N&HODB;TX=jtgU+Kd%9O$}Ot=CRE^ea!XP?T*;xE24^39o}}lYE~e_sio9t
zq=_Zd(WK&RB@A+%Tzt393eMk7W5hE(%XXt8n+;6?yJZ%%>-SoLfql(b^L};Q)_d!O
zV68NUJh>Pd?`Z`s<p-?9?1@<Od%Z~ZUU9_!U25met>9)^+O|Xj^ZauaBF7Ghpvj?1
z$$UO55b+_8dv~hfIU9rESET|NC#e%G)n*A9eBU3X#xQ;MyHJe%8E%y1$j*{v?yGKJ
zX3`_761K%02>fBhjz@Oy49nB91iwm=l+(isSkxwG<@4YlqgW<*@<0cG+lk`ii>C4z
z`?2F--<2f>4ofMPg#f%QeCit8B!h`6`!3GR&N6O1S$H3~f$4oAR|AAYq%b%(Iab|g
zf^j8}T&KN_4(Bd*Ts>qWfm*Wb_T^~*WLWjr**%H3fa7zz$sHsyl-}6qc4~EqF>vb1
zq{u6CNP5%IXKo{kWrDf_ekTVR0*Xs+iK}MNSg6u)DP9=ogT)IhEBhJ$jS77EZf*uq
zo-AP{vx2x%&^@Gv{R~~g$Ef`CrXW_XO@78JfcvwuI&!xTGHAER%A)T~p!^yC$K*2`
z@ae5*1uM(n7-_oAOCC}tFtgKQD#n}#&9a9&#Y~487psXTCxeXP_0a_TLQ5`YPmoWD
zoE~9}Wu^57HyS~u7A3Mdem(9E^gHIy_8%iYU?^Q#$q3Tb&fQAo<-k7o7P92-3C7F<
zedbJzA#7j1_wiNBI;=bm$-hrdGx$_Ra}SLfKuldz2C0S(sgLyd?DxzvCRqi)HMttV
z{=)?V-}_lnF>Ptz7Oy!*iP^ySGj;kfRCz7Oio%N8Dy;sUK?@AN2H{u#|9{o8F6#N>
z0~XwSN7<JpZHcj-^9g4~i5~3f3~1rr%7RKY3n~g9mKj`UFUkt5>w)t-VYPlS7W@((
za_EreDueUg?+aH7Y2fn9=8Z8c3pUwqsUEuhkD+<&r=}8#2E`*CV7Y+>17tF$awS+%
z=IW{3_A)BGK3ftRVZeg+i_vo-VQhGCVPkrx1r;t_&(5!jX2HK_7WcdvUWZ4nc{pBa
zWA=7oT-Y?sg8hj#l|F$Sm|_-SR^_V;{Ad1E-uGk0v=$E*DSl4$Y8x7)u23M(_ilO%
z2OHWZvMS27a-p|ZPK8Vc1rj`_=6YVS;hcGnB9`!A_+0M3JH`~qn7OoR->r2Rn>*N(
zR=NRCX1IBFF?7JAuOZhUl^xZLPMzD^$B#KyNrrJ^I#5sB;d-Q)1C?Ux8a8AK;^%zL
z+2IInc*=h<IBaM={_|+QF!NOin?jZJ%ZAC2eIJP9W?Z;?(urd|(~l2TjtO>nlVLGY
z@p)YhH(m@#(mBWUq`ci%`J9HeATH=hvf^G|WD7Q?<Zl(j<h2E!kP})^>tJ9Qpu>kA
zm3%D^xFyir_|<f&oEFgRuVm?I2w<{;{ik;$lE`&=Uh&f>5~zJ2T)JH(h+C@}i{fL_
z*hh>_9m^rXp6LA~ZKh|sI<5-%3Cm$o-Dw+_^CYN~_<6rpS_Jicol~W$3dothuIzmj
z30So`kJp|SMSHsoR~teUkyZM{g&V0PXiUpEn(&u^mVL+2xlReI{-_ojy&*w(N>7{H
zO>uNkANB~)P{FTrTLqd`w7`14?1+q;B-(!Q%o8h6#iiDiv{!{%uu*T*&Qla=j3h?w
zil-2<Zp>*>(1Q%iH$Hn@Bgx`q$y4e7-l`*QWV&nCL>rW>ZX9}VBai-%Dn&IyHL<^V
zCcn##`Msj8xBOSDfHE8`l8<Dya8deVfXEICT!?5AxHPJWapzo?)SAio#z%fQN<|kA
zYpz%f$TD*;CYXEs0Uex8=V5gvP(dMjW=-2m1-H^gmcp6*+7QGtD$ShdgCbXNe9l(I
zL1o!v&g#18C6NDUzaR6y(4Hz74XYvNllO#j)WyBo)pXw`ec-9K3CdJf$N6$zdaxlC
z@603@B-t5)@S_}S%N-gh?`d^hCYFj*-xB$^jvB#()XTAFA~f+;x{Yz!9V%uX;;Jsc
zV*;Vhms(~|kx=<dVwdq*D%vzY`*Fb649b!{ZhYOPg*slGodwEN{JEC!zME(Pf5@j+
za`?&U)10*J<^^3G+Hvb?!#6tEe;7FJbeW9GVO`fGiYb_0?dQz;3LqrZi^Hakj7ir`
zwaZj>@Z@qxn!{<PPmMc>H?@<IxM$KYC`Aiv4w{4=m$!mlDs8)ilbG+}<r~@YL<2ue
zm3yAfvjPvlh`rG~WK7U2n!wv?nB!#AExOJc(sH*Jjcn4wl8U~o17XUzR`mAvDBT*a
zpY(PYwP*5oZoiq4s{;D&r}t#;v<BTvTvc%rnz(C4aq)726fUS-+J4c+8a5eHcnoXR
zu_nl(_8cDpU;VJo*`sX@7yMXH{k0~d)A^?#uB{2+#j0H_MKe}_P0q3X<*ImdHY80!
zf)mMYpZ6Q*S^<NdWhy~j1uMS!94Z)JV{DxK#P!9}3R1Uzc-kMKgsLS&bDK%C47p13
z>S(tmaGeP~l-H+#67$wM9clv%kEyl@vcDyKh-to1oFRt_MG29uPPgdIE&hD3W&vCe
z7f5f;kjASWdwz-h_(DIQva?d)Gyqk`rgV}afrA-xeHAZ8=$tyWF(aG+VP)~zoCGnf
z%}V)pi#|a&Uw{0Cs0JOBqMzTL&J@AOZEFLZFQ@797pfBTZ7slk{q&5Ls}L4MK4iT%
zHA6S7fET9%%|UQpCd(;`A2m}spArtw((6qIG8Hq-Adu86ZCAmADO(&>R6J(syV!c`
z@Qo=12+<Xq9XYXUC@*(^{|vpL`1~__c2i)bTn_vW>?o(-5G5l$L)Q>Zx4O8|1Q<=?
zF9t5MV)nEhd{&#Lj}@MJPP=3b8$~)2*DTf;w3*&-_L`IQD@y^!%iTs0kyjdX{qG+}
z=tU>)YybVCi|bYLUeq)KL2mE*3+4-q{{a91|Njh^cRbbq7so~Rye_Wo8h6;^UVD6w
znM(MTS(1umv{Xn+A*E0<Qu0k@l%ga`#EFJdMujr6l8my6R6qZ|-{<juJl^MV9<S$l
z+HmkJ_U4Ze9HBWxQmip_x|l>$=ca3Uems7ky=R!1d$3Kfs@Dj_GsJIeQzmPpCu(J!
zorj1Ja`F9UYa<ALS<t#hZ>%;f`nuy~*FmB;yV~{KEko$^D)l?k`K?yHLrYR1s-MW=
zQ<tqE8^Y>%_hMd|!CIF=KduYey#$?aCx>Dj8xHQevgS}(Z|%KL+ooKvbQ6hbsGB*@
zg1gy4P6E=MwIQU4CYQ<2#N_uc?(=(CaIPW^maN-q?Gl_~v$8t~*CQG;G9w1yTiMtV
zFV$N6``>A=?^$g`*won5-arH3wF|g<{r8*NJDat$HNSo!{=IgSRUg#{r`SUgyIwr6
zZKZoO_eQ=a_?SzDpZDnlRk`Trhu1Z=k&=!c+cvfm9Xmq?+kff7$3033Tf@q0_k~`}
zmJMwo9+;PW<~^kcW*vE}n$wGFZ?p58<KvnM`537&HwisB^5XKed~{Z=QA+QJxBoQ}
zMh^!KT{h@KA7wPG+0dDYE~6+(sx}e(#sWWljL-odxso+Ut1l7pmo}6I3p5dT80>wd
zTiWnnp#kfUQ31gp+`cg7(nL6iDEajCXn|Pb>+0Itdj$1TcEZ#|6Y=j!w~x4t7O?!2
zE9E>N60^-|a~;FYgr@bc#B<)7u;Y%_oc!g-#HB8|bxPSSg!qRmR<vsxkU;rwzh6}~
zan{}2`|zGtqT0Jr;OU4uC|v)84|gNs)GFr_81kO**R?IuH&urtd7>{e!s`gNl0+V!
z%nyWur|G{P$xNu3Z~6D|{By$X=aAd)pC5_9_(m~<Zwz33r6}-Kza$EEk3}U%wiBxy
zz6qVQWk5~nYZYs**F<~RPs^KzpNJN(x(%#+Iy}!k{dXp`kqGD3{`*?JlhBqTc4`aK
zfzGAzp^~GC2#JYJxAg8N3dhr^?uThmXr%6}zO#jh8ZNh;Zumk--Qc~KI;aMr14-Qj
z1Fb~O`dtTHYx@X=OPK|Y?rL!H<&Rm6`#?mLkSl{>fDjLQsQsf+6}B}U$g^74MwI+$
zrJWcXB*^>oln3lpA?TT2zlM1S!J<7Ed+~gTs5)Z1HmhC*?kRn6sNC|I*nD~U<Xp=z
zk*;+i{hyr*V2E~lT4@*IJ(A(JLvoau`q>yF@J1QhO*u8jZN3o9&{%nntZ~A}<_W1}
zqcZ%LUNq!*u8-gl2%3!8HbFFg@KhN5LIt@~s{1)*2Z&EU3l(xqrwDcJU19}$sqj4E
zg4L_mLE>GwOwa2d(?mY+Zqlz+RLE%k@<{8^5D`q%_8(}OC6*U=-l)}Af@6C4#-Vwb
z_)D%z68=6<d}lG7+IA^Ifb_|p3Z+p(e*5WV9@9l)s<NeZ%S{FNc;}09b;&r9@;||3
zoj1RU*@xZ^sl)QnwM`?)K5l{_-?==Wb>lB#Xl`WP$dZRCGhWBojZ;M7rhqoFAr2T!
z?4CP%Mh;%4W;R%h%n)xgDn8fbal)N{RpBPzWTCu1H#cW-mbk8Gl+Vam4P8&q?7|JQ
z!2iMeeVfbzarU#$r>j*wKy|;on-^t(Bjom{Cx;e^@v#p!OA7oTC!tshRx<GNp`=um
z*fJ4ZwEk5|ogl2I)0sbBO9Owl;F-zUzr=-yN(J@zMZn43qhQ=$8WL~Us$Y^=1-Ghd
z5+@hL;EVvr@I{g|Olf65<LTlAN2WHxcrFf0)3jcEPl3dI3$Ez*t05*MMkD;01Q^=9
zFyXpO0VjsZdT9<`pwHi?UYwNzO1A3bit7}hIR`cc2l2ywyGH{7J7mDZaJN0Hk^**H
z?XC7o2tm~PZGDTP@<82hpz-$?1x$h(KAzwe1z+poHfK&HnC7r4=L(XB$fh*CA~g~W
z>?(C3D=EWN$B~8(aT%cKJxULn6bIqK>C(<Y6<}wCmi%5N3wLce>!L;_V3+uvd6`x<
zVCUbgrrF8C=Kzf;Ybgo@o!q!9f0zz&Lbj3dBl0lQ7|rSqmjR#S#u;>mI@IyBe4bvd
z1Q%=)xxb05+!uIS<|J#v-qeYAJndA7?lrJh?NbE1)XiH_N(a*QYq=ATssM9&i}Tqz
zDs1vO{p8wKJqX<X>6^g`HQ?Ls*JE@^1p>>tp3gqghum)Wr%h9I2=)mSFy5pFiz=`3
z{l!_3@+w*SdyhJ7s(sidN~c2=-(@q69c=iAxuLPH+Hh{^DUYoH6L#b~KH7KL5WXLj
zj8wa=2Q3>L{YDnlp|$Cvv2&pjG#}+{mYp$x+ukv?eqS}=iW^rn5orwVJvuRgafYB*
z)E!B$(*_5fhWEM)#<0E6R`S;WOyI`-)o*^E(1kO(6F#n@CQxnR>Rsq;4r$*GDVd(u
zgC(|ZLVk%c*nM3VZ{KMJy~alSqBQlPs!xwadTj*t`}8G#R01^W&b%wQsSiKYdVO5B
z7=n&K)*D+L8@N(+PTzJ|AHHZkI-s(`t-rg}2UL&QLTt;`x04h40Gmd)e<$e!sXS7X
z$h3pRjc$a)6Ma~aazv9RE%2EBUB<P?9^RArz{5cwCQbN{R46mx*VfJho0sgNI5B0s
z?vfrfoYU7_6RZp=yK?mQTROl~fiE)mf_1^7TjtHjE()Y7@U(0;cL0)$kbBHZUza_N
z7;$NWaL^zv{KX%8DEhNCL}XqAmMUWDO+_<Al)uCku~d7w+VtwT#sMbS8QyT=`tY?j
zaze8%fYTo0#dSYtwbP*Zo38(p<EyZ2+GCHJuN^qKtzY}vL=~I|Lfx4<g4jt>b?qv#
z1*_2Ak+OwUaL)da6lF(3?!u_xmSr30VDI&#Zjp!PH>JvT(`3wb6R2F;U;`(-LZ#l{
zrofQm(HM(nNj%uUH_5KR8f>_(M)lg0p-(7lpBXm=^X8RKPV!pA18MS)k`NJyRa~=t
zyNZH4{KKi-hX68t1-1A7;sNAIC-X{3W3o|RgHIa)6_)2--`3-Ryw3#(bTy=Lqu8Gj
z*$yk{J1kV(C_hVVYP_oObftc4PNKr-m?fM?`@?a{1BATp?H@OXC@8zR;vrMq5>5ns
zR&F-9Q~TMHuV<);g86}YJ#<G4_)<K4P&#6;mVLlq$8H}5>1QJc)+U)lrbSQKrF&Dg
zL`}zHuNei41FhSXddxs?{aa<PmS45zya!)CCsVNOZd37YQ#1G?mYn>>_+RZ0DI(P8
zuN0=yM+&8LO+hr^WO!x_CuaFx{PgaR6pov3y5=Ef3P;02pH3@s<LJeib!#OkXsOQa
z6q#rOB5NJxg-`LK?$zdYJ6j4~Jyn$bN5BN0RNeV3Tg{Kc^9Buf&Qb6|{QDp0(v4wg
z?B+z&J3$oYJ*Ut0lY;xACh|sT#_(r)M?>W^VN7^6eCkxNG(Nm4<*-y^1Wg*ws+V&`
zv2UdFh0!V*j0t;ZQMJtouGpxWCO;O#9rN}Fr%Pq<c(IhVHJ=es7nZeOTqR-uiKpg=
zqGd6;sm-P0u_4$$VQRgM5yvs>RU{ujIlOhoSi$RnAw<5McrETv#&3eMW;$EtF*&4s
zFx<cpw3Wn62iHrWj9=|@moNpqThg=l&@vmwq^rp4rjjTWH=FnGKSiuNt7cW-%!Vh)
zy?;}+rEsW;g-!!XSU{Q08oJ8{zh|%K&S+4O!m>_|&!J+iYD!ROIveU;GUSc)rIGpi
zg>KI#Wjt-ebAK*@4eqTW9LH>A@P4>3za3cx8*H1sHBPaieUFdvqOUBPyp119>r_E&
z^(6bM^K7slm)W+MAcx0O#Kin>sp9n`UyZgFvcco$*>jOk<Pk*568=P~VcI9>==!&8
zC|$JNAhoD~POps5xVqAC^uZT_%N&MKTk||a*hUEzpF2B@(dhWB)4w~y))2H_G=@p8
zqvF8A>u1xy=y-*;Vb7NgL(q+L(CMG2qKojXxYA1oe!G0wP4$-{_~Z#$ZYog5c-}3U
z)rm}$`4TJ}7;FUBUawy(=Ba`)6PvQj2z88FesDj2+z6DkzsQF3s^WBXu3^@oI(p=O
zVy`-G4E*Ink=f;{n3^=2SHE8aCF|C6E-RQo%!4m;8@H(;inh8&4rpKoA72=?(FA(1
zF<hUMhGK5v7sS|_EAu9?bS2Id{@vfVoRv+(j}~HX#@jV<htxzS+1?Dki@!H*VA3&7
zv(THlOA~!LKJL3GWDcH{P0K$E=y?9R!QUA|6Rqan?UL&-hlLlPMAwiRDDPX$em1Uw
z=?fDjxw#h5#npXVFNA@K1q3&5s0QZCTuZYJumsxH;R)Bf43s`nlu%Klj@_Fs`;Sqr
zAa8De;{A^+{rX<k<~+<q#$#30)MhK-cTWG&F~C4a(~oxTBMh{K-L41r5D+NBIrpuN
zffQb~XBCZf+_*gFYq3CpSjx=){9*>CJ-O3$JdK9g+5WLqLx6V`nZoCS8F<DeIV{Oh
z4I_w)Vh%e1V9lWmPlXvce^qSa*0c&vTU}2)77LKGn|_%4G976G(%re2mC-0*Rl>Cl
zfQCTD-bxWV(vxBa`s}EfUUXyNdp5w|F0EVn2WWVHBJ7v-yaL+2N$mf*Qa{LXZD9Dh
z8cr#DA9IYC!|}@U`jmKpe_5$J-V3Us>pEc}WlI^H5&qcUxf_5y3vV0Ns$%TT1<z^*
z1;c6v?Ro70Zg9r0Q;Ai<pRx49CytW1zA^f^Ck5c`ft_bWA1mX7&bxw_Z;&zLPfxc(
z0|7INTt80zq@u_1%DH(%ar|Jgxv0T|fb>1FC-s<AeD{3<M^=$gZfyGMRJRpGy;6Sn
zwn-7)Tj&DrtHn^_@UmT=j};`G_Il#vqkz{Oa#x)^B!Zu%-_73Zumq_s2b{E*<&f5B
zqT~d^I98|CTHs;{oxfgGij~Tu!|(j0V1FU3tv1`#_re0IAMgFR6fJ|nSE%lip9Rs>
zU|9ONxdq%4Z9M9?T^hgn6}>6X6vQn;M+L)5&7sIEP1ST81#kQ{b*8PHORx8mKE*VL
z0m(@-QiK%7c<iwG+#-k@Ya)JZy>14A`IaZ-Z%g8?JDgkof)FnH$Zk0;Zw4RZKPRo3
zlR&M6y{8lUg;0@{qZ)q26nt%(<s7$2pmGiOQLPeToa2b6rpTEB@9^#FJDp?<=S+^=
zcT)sc7qTnqxhC+qzqsLR7#V}VT~AM}5k*V?XXPnO6By@dPI6ZzW0cE+bm?(1G`*^G
zLbTi%ChoPBc#nzW*Vf~_gf0pF1YvZ--WWvv&h~G3BaYkkC==n6BrF?>ND1#Ug7>jE
zxiV|T@#KLS9>qFwq|GPyj~zAwMcK-R>nrs~x7Uej=aJF6hoASVq!EyzL~wFc95;Vz
z?t7UjfqlPxBR@Scgd^VzhQ+94<nT0js&hpW73Iv&E(REaL-GFm1wmvq<!n7#QzC`+
z8(TZJQC9Z5*|$9bugExcO3AqUBL&Znyt{OGCAVpdRr6$13EUF!*ndJu1}9Dvo%d4M
z;BZPc?o^Eg4h(D-b@!A-&yuCv=iS+mZn>5#+fx#+*6p9z_)reFD;4tGRAa;7tBE0t
z)lzu=e6=jUngWt!E)|?wX2Bl&o_!wArI5?chG$2CBGxx&?e6bkfhu=?Z1bfRE_&Fx
zoKT?Rm4Ct>dtb9)rpZ_P)NyI7yr4+WoTTEP#(JUYS{6K++%yG|GAMO8GPI{r887j~
z_*&JmKxf0X!jgDdJX~R?5nZB!C$~n7>a?<e>6^CfdQ%P+Q^$%OE~(;sm-&$VA1s(1
znT<R2K_35H%{6}zuZGYa8Wu0T!V9jD7-b1XlnYVqesze32``J;w>Gljeae3qg#4AT
z_p+9%bO0Sm?IDIeSJ_Z8G`zLmkBZ{k{z#T?WFX1g;`qk}HmD_q-Z7F?#`G<Ir4%zJ
zzPs-3Ch2bo2d|&pF5IMyj(O7q4it6#$GP_Cc)uZ3x*krxo2Y`{&IAcp45{Op_Q>tt
z2aI4c>LN|cK^4a@9CQxK)xc6o%c(_@F@(x{-F920h8456Il?xY__pS$;e4GjOmWpa
z<vv!!J9$mMDlarK@7sT|KVnUwPnvoMf@t{gnyr$)nigjC%sURdn8MD1PebZrEBUra
zejvVC3sn*mmDe%MV19#in`#jqM+<Yv#11VSi;{TQ#cd8Doy+n4EC%)$^RZM-weZPV
zuCI;5<}jpv>xN<x18e>_aOrTjCi)M=OucQe0AJO_x@Y`M%-^RYeRBN@M{a&vWtwLR
zK3>7sSGh7#&uq7l&uI<p_$l_u_OKN=uKW7tY!nm!wZ)RT($rB>MmXQln1CnoJ}Ea&
zGts%u_@(Q?6`o4okSH1=Akiw2(=MEeC(`3DH0v-hc4u_$E-L`;#MAO@2PP(T6+a7n
zx02I?YJ&~Y0KaVFuL}HPU{L-@&!p$dKEU%JY4k3DQdam4on!{K%SO4CcBr7G589eH
z0rc0dBfsKhU|9BQQm4BzlJhKl@ALtL?tEsN8%)O&OLs@5DwL49XJqomSAhC#KUMxp
z8s=NP*zu)D9*w_WTb}F$_+*$jd}m$_`3iFn_2|l?*6|tF^5+1j^fSSqp@uf=RJW2V
zD0uw!_sKOk0b*FkZc<!Su_W8uH#0&KeJ}05L5&1R9+ZtpJ)nYT9<MGbizK5lwYLRV
zc=6WlmsP+;WlS<vX)vxL;X9i*M%M)Zxcq1}9S^B!7QeN*#Yzn0N#jC}nFMf_g#7p4
zBPDE(E5jvD5sXYXw4;a;@Q|~Bnn_kfrF4(+U;hMA_P56D=t(QsIP6culk!N}xX>RG
zDu7Oz;g9c6S^~5F#$q_P9Ihqjm1q(CSnuWaOkk@ebR6ZHbiFQvKB{dx6?^%xs%6;0
zePtf}M(?ESdrG5Y1gCS(6fYjQ;z%!HS%A>$3r4<73f@1~S3Fw7i+2QOPW-uM4kxa7
zOQcImVR`Czx_1*V8tb^n{S`I``7ZB|ib|45E<U#Bm^2?+amCfHIc^5q{#M!lw3EQ;
zD2jVmCLhkL#690QWeVEEOBF>4WPEH;J~D30k8az3G{gp)!tHCu`(6!-V|%Bpw36J)
zzdj!K)95#W4__||rEOWsTg_O`SJHxb(6f2%1z!^w$i7`_|AU09OQueUn+ajz`u06D
zy~c3jkq*Cb76~Jr;PG6vFcL)#dMN?M@YYz|Olk`WFAa6-Qu;(Nxkt_L@`Mqn?K(D{
zVMxN9mSgv}>Wg7I7ybT*<3^xR+*IB~C*j%d_jE5#67Ig79x_Zaf<SqhY)Ksw8gc8r
zlOH7Esp3yb1x1E%VRuns+d2|56Fs8;eh^3G>}0n(8p3>f@px)9356c-I~CDJ#_u@9
zTRzT)3m^K<e5)fNG&eJ;-z9MDLe{NYnQSna6uNarK^%3yl7{kxq;TWkd@bQMZ1@*A
zkZPYKj!hfHeX3Wy#<Yi;;_{aTt<3GM9HL~r^fLB@e2O%7njfHyR<nRLXnMFbpN#60
zQssNcWsqd2RUZ(?g15zA{d`>|aBoomahq*&7`)pyZp%g%9IL9#kr9=|@GY#}f4|A&
zPZ<NB!x}7@ua8Sx>X*csw$#$5I7MV0yl=8khy@<X*8G&$Qg|!i`jZA(Dk?2DxKb7k
z;QR6CucMw*ut9O{V(%X+@|_r&*)U}Qs{~VDD14O0t9#{xi$;}^iFJ{y=MCW1+KHr3
z3o=+vlBx3SQ$fM^%e>}%EV%XP$ZAhrIV{L_w0P2^ipJH$-<O#zNVoU2=Z})d$~q?v
zqkc7vG!+`#?9GA^m+&(24h7_?J$2>&cN#L9BV%@6VL|_^RZ+(FN_b=8C1=bO9p}uh
zNl347N7Jn~$bUN(y)KdJy;gFla!<P3wiUkU`xN>&(3Np0<K;!CMJA@6E#;nl!-kuI
zzm2v{DWj=Rk$&}rI_ApVKke#i2w$b<{{+>lU~G$*_V#uS?4@U0Us^B(=C-q5Z&Os!
zRmY`uYoR7aq;Y+Syki7GDVc73Th*{enq$LOA1$0M(mE;=w&I)TXY#EWG)%;<^cO$1
zaLcFJzJ;|WaLo2bEPIrOEkbo3%bwa;eI-Zflb$KKKYX^^?*<*s51$RKN!3QK{c{&9
zR9E(~|FK^FUC+R!#^I!dOl=hH_M*O2G>5`4$8nuO2Ck(^H7;-0#$`L|p<@abaF$1F
zl;Y1sb#o4*fGI7U8M=0_T-Fk%9li{b8=3e}m*lw0P78-=LDpSjR=~HfX<M&^Iu8Gw
zxaF}$6ZfvY#nxT20=ZSQ9Ivg^u^>yZ%Gq244LQbRC0Yqs&nVd2<DicBoH~BeMwwVz
zL1O7U0*J~iF9~R=qgh#29%DZP!v*RhK3@hXHj@xB{mI0Dgv1=P4jR7E@89*l3n1xj
z)e+YeCfYT$Xs^{+;p&{9*=k{H_%CB7k|n~#iH6FFj6*6ICDzomsAUbgYYr^uue>W$
zpy4C-jEc0)M~1r1t%0QWt%zAk$46Te??$i`F`8?W#x65!*wdWh{br1YS`B(J`$XhW
zhO_#8y}C6J{ijaO3ej*LBAf@P(wOw<)s-kgYp65ycQ95~!)#{<d5*)9SQCAMV&4z&
zNYYYPMq3r@$U<FSBr^UBQ|z8y;aWoG7x5o#75uu)uS;JP!+@LTxxMxSv{q7jN-dOe
z@#Sr5thWe`&%_t1X|MRpjzNi~HB>x(=5Va9n;>3)WhUG9ngD@BMs8J^A_jI)O!s#2
zVOPc5E=dCd^7O9{d>@g=2lJX`pT6?oiO+u9f-|fDImBCwjN~xueEkRS0B&@#Nt0=w
zvxH<e7Fp!T;1SoT1LFT%jkgM=d%n6^!d;<Yt|cXDEPj>nO6w{Y#`kKsFO{wMLe_?>
z5h#V9nMn^k%(?K!@*^=>2@9x+o~-*XMiRB(EQd&`abfVg!$1l*hcDx5Zm+jWpyrff
z`#&cx+$s9zXH2IV1lxEncW)*mmGq{vrI-u9{f<fMvo-^nd-m1-;o{g=*|~6pSdDiN
zmTIQnH3h2dE6H2;NO;akcv^OOHIm839i6hKpq|r`T+2<u42Ig-nJ?U!cewQGLXrtI
zC<g5=h!DeZm20}LD}9I)mf26?GJ$7X`-;}C_*G`a<J>TQJ~Z8xNAW*q4ExGhQtIxa
zSd*3Dbi|1txt;i2S1%iZ&)yT<bMHlP;LfSL4tE7G@Vt?SVvG^woZfTxZ_ElmO3Mxe
zF@=ystNi<!#|T<0c04$;Sp<W(kXG?L6Gm%+Z_zu_454&kvwDl42nMiC_CE_3MeZ?+
z`C&CfXj|7DRG2D)|1+U2d*q9uL3`D&+$uJR)2=0c9TUNz?2b+H*GTAeT;N-yCmW8<
zTKy{CD~h&)%-`p3i{qJ%T-)z2uH?TD>2bM`82bBE`{le?@u!ExtK91>i2uSz8#pY6
za`y(3w#-Uk{Gq$mzg<{xa9tL?X<7_-*vHFu8%d%3!?TUr+$`93hko*O90}z`y|x*q
zP;gB7f0VLk1~5%CuVFLAacIHC{orqDR5V&AFOy&ZBhrdyq<(R1-g))y*%(=jzNodI
zW0L`dMH>>kOUO8_8R@@HP9EQF=-jWUZU79=gZ$?&NFe9hr*)3a3h1kt@WP7U03wts
zV|z|ZqR!C1lg-&mc)@G!IlEbXC}wq>$WNET8JQQ%?MTId$berOWBPC=wQddb5d~>s
znzLA=jP+d~^|&YW;mtax*x3nbj5?BT9?+nIQ;;>Y%wYg|F?ZeTEoG6+ZQJS4t%{Ww
zh00u144|Yksp|Z7Ib1SpJ^b~T8eXv!&sghb0M?uK?Aa`<fb8BuaV>c|=6F4LZkc5O
zvL<bO%tA%%v((l0w`Jgm7dOI=P8fib$3{&;m5Pg=kJ=<dm^hruJ7~3q1>Ki-8Pk4K
zal^D1_fm>F-Vb^CC#QSGkCYu4gP)c0ki%{9AGb9yHONzB{~<Q)@m8z6_f!R`i)Meu
z$~7_nS9!gjsv&Gv^!T4^o+_>*XAUUc)xtmQAF{pQ4Ph?v-H_NhH9WPq!fH8Q8!H2h
z%053g0*lLk@^LQ>Jq`akA2QLws$nL%YQ>8ar+=+2Ur$Hl6<1$Zql4QU2hN&Sn!wtp
z$qVfY4E!iYj*b@5#T2IWe$lt4P)5%PtmtFlDH&FGy|OO$tdnF+jhMj(#@&r2=b6}A
z>DZ$+t%G&zefMSxTL9#4qKeVgaa}dLt@x-83Jl3_>C&@=biKjA&DYd1bIc{VtXdn(
z$ky7wovgrA=&g46f;ujC;<uy<EyT=IMT46O&~KmBn%B_4n1gR~ZtT%S0m=TVcj^Fy
zs=VDs;}yQfMVW<;sH0%9dB0Z{K;1fKp0u0>eoWCRkYh73Th-FmeIDS2j@K8Fc6FrQ
zTpZ!rOvnEN0096043~#L)eRKJjm(T|@4ffE7uR;rB}!5X4JD<LBt#)2?IDFoS&<Z>
z5()M4J4(nX5rxX$C7aB*f8l(d^L)S0YEt%4K7#@E<Fp9NV;Z<TSTR-SrHnsjEZ7Ck
zFyN7%kl|RHI`)bNDn$A!qQ8h>4|^&DHmWdR3{+G{+tk@dPebG}!P3R4Czk<k@;SzG
zj%v9175jcoH5ue5ImteG%mCNQkyAZ~Rgozs@3&CA1hTp|9A1cJfI)_7tgxpF3KeF`
z>)43m{oPKIpN=zte4zdeZI3c~Z8O#@-Xw&N=S}Q9O&H+#;yNkMS_xCjuHB<&k#NKH
zzbYKd0B-plq1QAOG5OFAC6AXpxUDyH&qy)AZSvMqKS2d#TDLi*r<oH;U%jc4#{je$
zbp8HSIn1_pp&d+R!vP^`kB=At^TUn=wow_Z-zPQi&Blsl*DaF=F43Vz3BC@DN#WJZ
zhA~MdW{i<zs-9`H1itD$n!h+DF+1~7eE#ApF_Z92Rz=McjHAhtt{cShNz^&1E1k>4
zYraZn#b65vtUqpiEJG9{4W-RkFE0`7N0Vv|Yt13xzp29~WJNGTq4w6k&PBq@BS?Rj
zlsSB2ooHOB5W*(d-{ARvk%)X5pJ{&546b@ehOC_z#7)`tNn_ee#Df^<@~Sfhk3CEu
z7CZ&8&-SnDht(w_jPjz@NX-<23dW^YeMo2&ldLkTxk6z6<L=?BCXhH_P*ShLk9&QS
z&E>LIi9E7~X!b8-AY}Bqi=Xl0xZUi>Sv@B7J3IX;#>E)S|0GEEoaDiv;|ukQTFkiU
zd$OeDtr1w&-q$|jvmQ+*%Mx;d1#6Au({&AuV0qxs`y(mbSnL=VpXAGmkKJv2S#oJW
zJrfzBw#<czC!hUnEn0_OUo-bIlxeUkqs=KF&4uDU?V~ItcDy&dDR(K;5YX%UW)?dx
zd|uzi=XH?-(`+0BZBz|m{Dlo$4VeoMjqCnu=i@?CzxQ*7&kTTS+?QF%;6iGiPwL|$
zZuI^`zxd140HztXZ+3@r;n0V>u9pINuqavc{mlk_u!@g-k=D+I_XiTJFF5jHg*ek^
z+e7+LnitskYCkvbS-iPBLY0Iyn%CAG)~KNHGfY^6Yduc7yx8{6Pyn?b<ZbECpu!%$
zO9D0D*5iJQu=0>yf;g<p-?eiS6(Wq=v!6Edpg_!CN70)?7)-uV&NN2>{@jr{`Y<o<
z3|Z}w|0ay5;&vBr$)$k$IW|z#;78Adj$8#(Q5-B2JXvyt0_!?oeo5Ly!g@F1+0>U}
zICMg^{Ifa*+H2Cbzat6Y#YB^Gb~_1t>G5sCYK9D#hn_d){T9G(uTN<&7bMZ|H;Zq5
zEg5=GE7dV|3*v!Go3}SqNn^~GUg?e5WXLi~<_Q@V!ejQz9J<eBF+YY<`8<{k-?rUY
zsOAtsEg8Y?d{=qwpIM%iy+VcuGB1DKwG_qrUwNn0PADKXV4wG=Yh<WjXr)Ko6vKBq
zN8VCzDWc8vhpjTnWU#GM3hbE?$LU%weNwp+ZWyZTyYz+(XM=O~XHH3C)~0D%_<}O_
z8~E_2kCS1mzHUoAuQa+3?#hj|RK?=MtL>786c8=n#G+pzgEfErtFxlju)bW5sVJ5L
zpQC9_uP@8taoK%>+Fj~cwI~)V%SweD0rwn(7xH+@q^cm1qKUHUfl*60si5TCH`tb=
zfEr1~*Jx+8ux4M)gF>o4^Z^e)OO7J?B(VtUR%j#V&e!oyQ~D5nqwJ$sz7k&HzuDnC
zqJ#Hlep`Dt8o;(YU$c~ol#z0h82C7+i<Jhyn;YL5LfuMV<Kt2lOpho%ZvI^lqY73%
zeZJ7(o5QhYqEr=q_`+RpY$T(ufImfi#RxvE@K>fiQ^TpfPAa=Eka1~iDP^Cj32d#f
zVH-+NN2WCkmWU)Wa=0HHIdIh!TJNi?bsf>b8*WbZ+1JR}ZN8p+^oJSr&Sd(gNonHH
z{I%}fEo7{YK7Q&n%>tgNUf<_bpoy%%#xp+G=;3Pk4T1C5ETQ__HrI4nEzAt&CcCET
zV)@y&h50%<jP3Wf9XP0kciIwnzLV8KYu?MI2SNdi0$v+t1!-aJmL!^*ixyU&(!cd=
z6+luAq6k+lOf|^lh;-1vHjjn$YF`HY*=arSf>#U2bU741iK*fDxnkN_4Fk3wxcnkB
zRucvD%^$A3SH?X7L8ne~TEVS7>ndFbH8AI=i&~hsB3j7o8*0(Bg1e9O*d>HCuzxLQ
z<d>*C9&5~am2GJS%&Fv$Tcp*I)SSJA`;`=iJvwtRm}Ujbp&p8soNBlu$l{mFRWWov
zXPFWuVFdzS`_Di7p@In?W{|a52-%vK`?E$F;OX1d7WPmXzxsW6oo-LUq*Vuxs(c3Q
zWrr4r14?+XW?N`oCO4{ODn<@_Frct(ue6h-BDN1F_vzna!z*W_<p=l~(0)&Jmh@E~
z&0W?!9d<BdLEcN%4X*$^{`~5RqRHXzrA=)d@0N&%TUb&Jb^}bdvo*bJl}3YMxmGpj
zIYL&dt(f}{9XPCWLmT2Gad$9N@qpeG!GFm)*iq{rkIYiFef`AobYfe^kv-$YyKMiA
z(?>1gXw(Dux|5<9mfX|&)OwUiE0`oJKe7N3EURix7DnU8>=9zkLqz(=8}7FT%wZ#G
zbijK|5TmQg=hi9)iOx|}yQ*Ohqh^(L_YMgl$I(MV?-~XP7NdHPd;ho-ebGg}h=qio
zFXjYERSyxd!EN_NDokNwz$8mFh8HFNdIhgLJ3{;-C>ON&P2u2$xgeE;>v7^xHreje
z7||MDJ~DRL1cr?#HqHifVeQF%7kg92i32gxYP$$y5KnL--~Ysc%sf(ovV#+Z*X6};
z9<s*Z7^~4GahM%RBk6C=vZsiRUV81T=Z)aOByHG}!iGh4$+Ry~Gen%7U7`3W4K`Ld
zdt~Xa!^=^ww-cl1i1K-j)wG>7$ZsheRXxgzV~wX~*>V?%f`;jph#Et1>G6`hR?C7u
zJCf@4dl!i&=hoa@b3>5ql0EjqnFW_7KG|M0Tp{Z0@B2%<GJs7dWZnBXS@6}+G3lU3
zYeaAG;H!7~2Ef6^_Oq;)857>YEJ!k=OZtLScCkLV@f2(6b~9s$x_J3q01J{&o?NLm
z(}$t`ZjN`?n9<biNLa^DR_toFe6Lweg@@lP=}+h^7&@jVXnKGR=e}}3>vpEXj@R*;
zf$1!mmVclj_b)q+2vxhU3{fEcb*Y1!EGs&unk=(C<HSAv*{o@i6p$0NKce~{D>gJ<
z7I!(vjo;IpxAsd>V5E|?)E%-8r+3m@#{O~e`=e(S%;jX*d$~4w!kG=Hs^wB_qxmp3
zXGTo#5E;k@e`eUXv*W;asre{R5<Ze+l`Y~UgXh+metBOGv<*)6l1dZ6!VU++nn*oR
z4$U>c_>>dbC1-ZD{ma*+i`$WH<GPUH&P^^MapMVt+vW|<!q_Rqt1x>^7Xme|3tmZD
zkBeWXTtz!X@Swr1rti}_(Aw=OJ!8j<Rs}ALjS*s){p?hp`%N8?irrjcqRfx=qI;h+
zSxKNuSfZ?uu@3xdG!JvTL&5_^_Qx{RrI02Uflag85RsO$xbj>89~&h)`RdDHZ)ACT
zMXffxT)Hb|*C&WOL@#aWIwXffsd~3}6=}oYx5C%2k%jSq_;<VTAM&_Z9{o3<R2y8&
zn5`D>iD1`S%l$ZMMa=%bPS?Iu8yK7xr(em4VS-?9<f5+<mXiuR&&%n6lFpj&b3z;!
zI0s|qT9omf|Hf-F*LC2;4k`Bwk&<X5BjPQ%SrzRrcl>u%S{D+FUq3wJCXG@X)bsy-
zR73xlgYsv7>Vi%QN5#r+SsbN*e{b!sfnwXwn{>D6!MrN(r6gl{3^CNrwV2aHt>W^c
zj&o#~st$@@+pd5r5jI*cZ)&5v0NWEc8U?D~9iEpAR>ZyohZd@2bWvK|v@V|KU#<qm
zCm%gh!mjseA1hMzaD-Flo;aI6a4iHgVmg#@I6z(aRwNk%m`V=6l{WyLx)6(A0aZM|
z;|WuX6a^FRX$Nk1H-yb_mA}MR4PP~0NE%F`pyMe=3kiY-fm+Lw<Un=Qj?+z7TA<)z
z@#`)5=Efi?yH7PLRs$X9uKrk5r=o~#?EaKy6R7j_zP{nECf+l*kB(BKBGEN0<#5If
z>JI&sIufacBCV#(j^h;k8SY>ssAd7AA?NgOppE;*nyq@yP;i^e^|*j0OUQ1PnHp=+
zMtNqNtoRRPR4tK}^)LXC5wz!RrRd<2^WOR{LJu#}4xhR(2~d9gU4?~<4)Q5FzR$m`
zgFbb83;dE8P$XBCS7EAyZ^N>p&i%Wyw8wPf4^=DB^3wcl+@p=z`ia%X8tN!v!2P)O
zjup(`WmaFa)5g(8f!(i+RQ~nu>?^K*D_Bx4nW_!Z!mTV_!D;4-*n3$^VTNQ4QyU{$
zeFHVocOY8MAX65VH(h^MDPs+t*ZjW*F*NY4Wqaz1hy<1zH&S_dt>JswOl<6!8jctn
zX3x(F;eR~Sv7x<I5T5kr$b6_O)}9`uioE7SgZ=Tk8#Aroyb^Q{|MM#2(u%>*Ja$a0
z+|uyV(F%?}d?l^*FRxyI^f<_O)`-}|&%qY}XF!<0rx=jTRBipDR{?vssk8bi%n;%a
zo)_@lV1Rh$7H)Spd7S>JFM9R)0C8ueAh$t=0hZEI!e44+@SDO|E3;MuQLT4#r|(mM
zjv;~C>{&@9r_CtFUq<@rmYzHwa{&G(@AC1@;`q#KMy(^`8$B~?#?LpA4s2hNyEZh4
zpwt)I^UF&;be$R&D}ho=csJhsz%N_~&yH1Q=p+o#6C`YSLw{O;N7(&@?0x_I_F7@^
zy7NQyIp=jtx413fTL%YsRXZPUIr?s%E<H?dD1RtbXKoIq4{Zvycdy5}%K?(xi-zd`
zeP(CfbJ`55sIuh0WKR4U$>HU6b&$SvGNak><v+h-9V@=-&W83WiqGd8`{}N{O-81F
zP2g>sfA+bbEEpnKzrLWbm###6N7vb40_$JwKBSn#gtGk7KW27y(`VBQRvHqF;f<ZR
z*0RqELAL1u(u+>IkP-9Tmr*0wK(mP4%CShSDCgBX#I@0@)RmQ3Y>i;vZ}+X|Li0q2
z>b1Lc-_P`mAHu9f9@9YL%lH%Ft20DYbeWSzSuOnzWA9=MHw{=%#2t~?HASo+b$L7S
zxSVd*;;hYe$`AtD?DmL-P7tK9$Ljf`S@d)H)xDQ`3}9W=SM8%8e-nr4MxQ@vXApV^
z=EtO*48Z+Hyiu+87{S)B<#l(pjM#j%VsCb>K5*-21^;9kA#_}AW*l?g6Y0$Ztm~}w
zA!0w1dZWb<L468Z1_B=mo+XDV0fGvzgS}cUz6}t?HQjFOm0Jj5j@!#cbSn7x_wsG2
z?kDp1pSVz=`;{<AsNVPK9R*fghu-?G^%2!#4Au@xCt=I&a=_l60v}L3^FVkX@vPz+
zm15LIG&+Q+3$&5p>ffeVPNP1;Hz@j8OjZwZ_@F}A`om<{eSGsD56wOzQ{lluqq06i
ze)}C8hfzH!aI4(xv!joQe)fV-vul7rn+GKsf_gA#XWGS^-$yXr@M<xT9wsi?Y)kzE
zy1-jHrN?8~PslJ=A9f2GB~E19s7RgGff3dlz4K%J#DzT-Z6nja2oJf=D;&?YAy?+`
ztbEe|QO4}{<ao*-Vv9nmUh23OY+u~9H@at#c$>rga?oUw$Wy-|R;8~64;<T<$K;2J
zX5Ue3%G)Wzo7F+X_pB!T2}7}@m=Pk`(={vHdxj8Ryj6SiqXuX{t(%I~8zY9r%4zeo
zIYMVyJ5)+p11>7MeGO#&O&AZ0>{QTRAZlxuibNvSq3%qh)fK)!#L@p|etz4!NN5P=
zcAoE2gVn2_<Xm$n2)~cF!;WMv6Isg(5hrZaz${7Zxc%=*!eHx-N0+H<1j~uXAN~}m
z!cA{_W%-V2;v?;+QpFk*=0&&f)lyW2)a-(WS3hQmT$3|?{MT7<od2D#W0DGJ2Nq#Q
z+#Dg6|8;88cpVmoMx0F-RRQlo=|;zZ1>%m0=lu{NcD%1G5$=<$483i7+xRXm5~mY#
z_(WtlvHz$>o}!8}q}o>{C)Y0%-&WM-(p<SQo+@l_SE2;J2ei~owyqK7rSH!>f9AnE
z0sm32Z&!jE@8_ePoXpsHyhLF53O`Cx9z+$*C_<*Vd!X5^e;(z(@5LJsK+f`}whs>!
z;jGL?u2R!=Xn$9Jq52>H4;t*e!r`h2Hg7`~WCYpqrRat^-U4BK-P%L{EvpE98C#vB
z#5vK8KCw;zi71lo&nRr2QUC$Z2}AE4+*ob0s5aj$j@K1b<lWm8K>L*LXiyaoE}94Y
zRisGay*ud{wT%j}%`m9?X&^tk(zT|K|LaRjgGuw(oeH2*vSB%cDu7ubD&ARJ<niTB
zst?mTMc90WEMomh5H-QQvGa=pHc$uMr0f-;I_1%WBe#W7K;ZZG;0Ps5IoJHw<&`3w
zyc8F7@2n`gQgu}pZB=mo*rI#8y%OkI@{dyz#WC*nx&HMOHFVYF6|4|chV7>#G88){
z@l!#ot&*t*O0JjQ$S0%%ay>yNZ??){;_##WGVWT)bl#?~%taMKKZ&q<Ov)kCu-%=?
zWF34(d=c^OR|E4tFBPeS3b-QLU1&I<hjwfRlC~c-;6c-;OO9QNXi^qvTr5Gsj;&6g
zZ27cd=$M}UsJ}8w-o5Fx$&88{1)g3?{7)B{tV<*01yxbJb3@EG2Yr;=eKf4_HyL(q
z?B=*su7=5-E?cT?4De}fZ2`T63Yz`cSb1CngR|L$LPZSGUq_mE>uUpeeedV5Fd;2;
zA$|27dTNMccfb9>DH=@3OApvR(Z&>+9{Y$jLzMCRrKPsp1b#i|V49NC#Q+<DrRXI?
zOjl67ulR3An_2oVj(O?fzK&D@u|z|3Jwu9h^s@x};VSQBQ!*|#bn|?uF~CFoV_z1+
z04hG*j;5uMvA>R^yeUQ>gX}qOl|5sCP?h9sp(Zl^>E(zLoTXsFHrXQsZ>@mTV@FB*
zLdK9qKj~fUWMnc`KbDto4RnrkMJFDU(Mz-Dymz4%?!T#B)akJStV;>r$2Me~a$mcV
z!moyfKLb;kyEniz`LomXv40-pptn70uOhO|?hzeTw1G=^jx}^l>EKSIH#@@;q;R&d
zlNP3H1M#Wl?Ya8eDCd<GdX`TJU;O<%GQnvB!$C}kcA9JAmfJtOw|!toxx}HZrLQ-@
z)2m0>ie%K$_jG$o#Pk%Qq~}~tao7Onre}t!!z$Pv$sEJtT2E)hOxWG~U=6GlwkiF&
zN=V-n`Y0@YmR|AHV7sBQHMH*bcv2gnfZsgW)}<{m16!uzhOu-jc)Kn1>}-N8GT*DZ
z9&wTbRyH=T@v>V1rtjcmoRY+Xr7sIPC)Wem=1c_oGT?mH&6}bzqBz%WzUit3A2<zN
zkbBYzkZaR%a_W~L_TKM4AIU|6^A#_VybWNrN5VB(i62My`Je1hAc2{)HYFyW4ytu8
zZ(U#E#JjTgBC_oyXo?Q=w7hEx*UUK{g&$$X_@w5po1-L9Wt%UTeqsR&&wog^=PeUb
zvQ0)z9VGCf$)@<!n!~HQM#i6;(*%pJy2tur5>RhfHk;0vL8e<LchP@?gr9ighR7=<
zNciO9a8b()_?U(Yd=#39l~-4z+jf$`mBlxF(+N{>UC(mg)S-$VePHNzhBgTbp6}Fr
zP-+6(Po~~#?dYa^kObSict~Jn)^VHQF@a$J2ccK|$LQU8^vfl4{O~!fns3I-81iT_
zO>fRl(bpnpFV)ZTg9Z1kbx#|Np#Nlf&aN+W^j+Q~%eQ$+pj8;R<Ft_xB)aep_|z}b
zAH6Xy95Wz6xc?@$sT>+GtOZ?#POsAWbPQVr0!R=nrP|viPlJc%D*|y7OtAUsbMEf<
zBxwE^Cnb<>2m|E6HK`aDD4W}PkcA=uiN14g$CV60%Qh=^KzbdNP{vPly%c~;75xr_
zPYpnndE<&~1{+j#6pEkOCI|)R<|Csl4Z!>9LH96O4v<j(`lp#y2!g~HNBmp$A=Gjs
zmw6f|JTM&3O8YDX2Q#v2-UjGHN>4$BxdJy-NPL<1DienET^C2oMD-y+nXp=WwjS<$
z37`7-Mg-V2RgOQXq(Xemskg<Od1036@t%NoQHV>3Eocj*!n}>h3;P8=@HV9HUKA7u
zN581bIvpxVZg$`E%8djLW_xYdACrKZJztwxCn(TaKuM~y7l3sKIvvfwOM+Qv)uikj
z3YZyk$o|?W2=@%4pK_g$hMZcT@1J8RAoyTHB+p3*csx=j-%81X==S#+zkDg6%6qNT
z-Cr0c*$YUghvk4Ar!2j94+XeqCk|~$7XiP}7jKV_$U`9epIH@03annc<Z!e{6b!a3
zin9Dx0K1%ntpUyy_{eq9I@3rTPGx?qa$Hq}jOg0q7mre)+`{3+%}fc%=lGGSFRct4
zm2P|~jH1Azqgbw=q7)pg*<H?UqXItC4F&!L1-=bT`D>L(L+9<S%_%{u;A_!uXTm{+
zrnCnx>IY;Y&N4fH?x`9Cu9i<;KSTu!IoC32K6y}1HfMDmQilMK7oVG2sqjK1BoAlg
zL9z0Tqm-;B%&_Ho?{e1%sV=n3?NtDxt&H=|7A;8n)Xq?2Hh@IeHW$7&MHskoG(pZs
z8(K=e9}d4UfV2D0%-nBKg8xDXT_pc`7<Xxf*ncsGfEWJ0JpWD^wBwbcxZQQ(*pp#3
zQaBCl!ZY4)E>VFi<fKQf@_KNy?B%YYNF&Jex&CbJp(-pD7hIEip$CuN3lxRjHHK$%
zr&g6NtHDj*A)!62WLP{CTpEQYAi2+quh~T%giSV&r}L0OWGwi^k6BajbW>vVkTl@x
zY{bj49zEcCYZr5cVh*CDkZy?=8bA(TIw8DI4-BLa-oNW(0cG4Lf1RRe!nsDr>V?a?
zAhg_+>zQr|@L);h@J&s)o8!S_d{75?24<Y6D(RqM{rHA-r6&As+Iv!PS_=||!XkA&
z0sQoN7CJv@f?hoPsht}%p;d+RXxYEsn~CdNR(Pxl_HP7!P9IQ*O;XHCcPtrj=*C#%
z7Z*+VbZFMfY?mt7@HVPljb?yR&xou;hX#D_$iCD?QwF;|k1jK+7;x|_@3bvV1L|52
zd~N4fgpa_n#dm-Kdi*6Lr6<(EYoGM?++I0oenZ{<aDo9=^aJgQ|LztqF1F?JXDJxp
zZk5a!Vn9Tt@6Rh2RiQ0*)YzRx97Mz$FWS~KpknVJTigj12tR-L-KWdK@UY2OQ#73c
z&fV`0ezsGFp;KOe-g^o_;Y`O)+anC{J~-Y-l~saUb{_%=7hYKT5ntpd|8IwCIc_$Z
zP=Hbn;ZWLRPUs0GMmbvmzLbUNeXNoPy)s$*(`D;`H1u1@ArhcDw4@{m<UoV@gQNc?
zX1I4Ko?S-`pkIWT6ycG9xMSH+KCwcd^XC2;e~%82_dAy=PDw)Tw0w3B=OTU2kWR<%
zE=w348wwhl69={yqD4h#p581q`s1vsB}ku)HSm=YgPL*8YEiRU`thu}knR%}a8T1s
z;PFurIFp}Rts^i)Uzp2Mw=OY<m89__(QQI7Tr~QuD|VXR(JprM0;@TQoUIGo=`9Fr
zhj;JzbAOs1zW0ozk&_wJE^(enQWSuig14%<N;7mfox1xqk4?dR$B(+7%lvSBU*6~#
z_blB~Ku6{DstM%A+CL%x<%KBw?8qhSIlBAK6Cs|iCXg*gOVTmo0jXfB@3zW$`prI7
zuY%Xc5JIadi7ny=apEh7O~_yRZ_{l3eR9Siz+ss>?ac)#!{*Y>2bSnxw^uv)Tr-03
zN891g9!`js{7_9hy+WUM@>uPfrNMwsj3O<91I7nD=L%n}(NAyeEh;`rgI_~zmvTO{
z!@a)!Q}W!*@YN|v^7juz80&`zhn(4g_IA=qcPk6*vt_tn+ieKEPm^9Zu&_gS;Bys^
zN30OL18i@8HGtN=SD)VNV1spHjQl4gHi)iF=V#w*0LLz7)it%V!F#)FI>+PKA^b+p
zMwUK(_^_`cymgfgg2M}UpVr`nbLEqF@A~P(VVf)q_f6~&M7irZ*}(-X7lm?qne?H8
z?qPYhm>tyof1cizvmSzddL=mTQXwxlKrqRM117Y*k`E{FLPAw_t|65Q8vA$M^IqV9
zu{V4?f|>l#yr_BMVKW6%xIfvfHFARAW^r%ZfBx`9q^0Oi2n9%8w9yyUTrhcQAS+Q!
z5Oyj~F1aaFAb%ZoP_2&}C~<%5U%3jwwfE1;-2Uy{F_E!%Ta<aAWjWl~uUPosAMe%T
zj3L8GlSk|hH+bRt0hf?y4N=&>D)qa6D;X$L4pT7_{6M!Z+|X7k2Fq7Zl-w32gA~i?
z-(6lLNNd^J%6dcsd~&C96B_m4e*gdg|Njh^cR1C56vt)nz4zu`mwT^khQ7xYiXyT_
zMA1S~O4%hER+4076={mn4}HHzRyL7UR#DljYybRvp7VU3_w$_ddB4x=yuNRSo--dD
zk%(w}L6iWwt)-aS2qO4sX)U{W@Poeh^o+K+6g2t_mS!Cwg84WUeh3qQ(=7Ip<w`QZ
zHf-?8S%nDpR7$34nIKH82XtI0l7;Y6$#X$6L|9h#GMZ%+1_go$-`@^7c&2S!|A|6`
z3ok_n!~8@*KktV!ja31jLDoALA0iA5<8x9MMPWn8+p6t|B4nqtEPbpZ!dUQDOk$Ea
zjQgNjEYFl6BQ(X+Qi=rO19YvvmXcstD19l6O$DY3a#I!qNbvND`>RYDX^{NyK!DOE
zRk+%5f;>D(f{f?&SvQ$wVU=I?%kWPeEdNXy74RU#*5ugPQC2yySiL1{?VtvaSdv7d
zcgSEQt5@JJBoDbZtHjSJ0g}t3zV}sV!u)>KK{dPrY^k`jh>L50brao=Z7KyE#6Rku
z*{=vruE!cnU5UVyLwuf`pauBu)9~3t3B)U6T)PcPaQEmVH@j!r(3Ws|jqjQ=Bv^JF
zr@bRV$NZ-+nnOB(4_=mVk5_@UKgq-`PBO@d#HycC(}N`DAfL??Rk-AkAC+xPhK)Bj
zWfBwhf!gZwJvSByy)&=3MGlc+Q)FL27Lx&FC2#zfc>)irH3}ZtDr5jIb-B(cL&yy=
zn-Y;!gTJ=F-fVP`Ku}@aYIfTQ^z=V<UVfzp?*%*J8O%xW#3G$m<d48Zy`;)o0RjZS
zTZmu~CPLzg#%`ID09PVux?<)8(2U9^HyEo!gz?5-QF>!IRjqP~)sz6aIR3!>(rRGY
z?j6H<+Za;z;{1Md5FqI=Hd0fm3aZ}Py_##r;G$<|&7PqKA*dTXA}hm;r}6oXLsTGN
z-J9|LA0FoCM+@SU6+rcttDWu*DvX_{w-!{uL&e#zuVq$bq1%g@Q8Jqf=Z#MK4JzQ^
z&#mD79sQEf<JQ$FyIY?>@vLuwP8EcH@os++6or2<z=p<9f!erNidL-*L1VXZXG;a(
zLv4hpoHG?zg5ON`_$fglhbmC+^MLv@G4VDrDsX8xhFS0^LK};T`J?|>;W{at<kn&g
zkK}4vvYyLBEb~s}#uz<(_D2l#f{a0azw|*Db2*61^LG<r-$XL!oNO)#8Ux)%{9dD8
z8L-ll*z}TLMg{^G%AUUl=;z(5sH`motYu7Z?l=8KKE4i*<vsxLyjahmzC;`hEAsHS
zsbk1%LD7)>PY6uhqS-&N69vWWdmg?Idy&&cV`0%V`=Gz}#1%(rVVLqW5VYfLM#4IS
ztum$e!RvfAwxj%lpw)8cK-I}gWF+YDIpd>7@Sc6B^bVOHq%E+96Gd+j6>M*a<y}K?
z&mr1wUE_ree9X!a;U#jU?|KT-Yyfl}rmD|IxuAfdGM$TDinuWp>7L*+fJY}I<n^UE
zV3CVE=SK^Qc&yA_|6;!vT7QS?{dvj?m=ycK8bc#;uo&C8l&25uo(#HfA<O{&5+igA
z9f(}=uknMcda(JXn|(N$5$@51@gHyXBKvCRHWaP&AnMNRp9z2IA>Z?R!~66hgwa_?
zedM_=oa$q%&ko-M;{5!!lQ%|@k+L}Lqnx_nnkZfAY(WS2lVT(&KPHfviR5jEi#o8H
zapd9c_-#b}q*Usv-4s%%N88gdqzx`X6M<(YHjy%?s#=q=zsS<14YnvtZTK@+zg7^x
zfz0PTRa(9|hs?b)y?y4B7BmjJRawTYBSm%W*{M$!kPAJ=m8Z0|V1a(%p8DrCL_qwp
zS?HZ5WcI>~OpiAdc;d-CH)gtqh}7Yuwr;K<__u+-Oo<fua`9bn1H&3(N#Oj&bN?T5
zaa@*>wL}vh-cD$vt<w-yo(gHB_iIRlm#Jcgo+eE8IG;MKx`vGB(?{J|+CT)%58G|j
zkYRuE=sTOZHN?fg3NBi2Bb+%V74kM@kZqp4gh;L<x1aSD`})uUy^`93z&HtbTq%eC
z{a8mn>aKsdT(JkH9@qwdy+Q)cAY144?hT~9D<t@XG6TeOTiXZnli;&)ZLBwK6UjZA
zf{|Y^f>1|8)y{DuT-I&PoIJdZgx<3*m$hbw;@dmcxI7IARnU=W__~9nPT%5K<!1%P
zE9@@MX4OH_I5*-?BOOT3hB_VFU<1J~x6XG`)!|Lxy{Ec0d%$1unx{S|CnUJXG6_E+
z0Np?iEAovV*5;iPUmxTK*K?79+sp(|@Y!B2=VXNA;shz4W4v&A^LiNNiW<<n#u(&y
zG6A`4fyVQS517lgzC<nK;ep)^icUW><k3H3Fp&~~_N8e2&+B*yxRqq|?-DD7vF+ng
zeIW>(X2v}?`SC!%-^V?7FFP1dl^R;R3B!{c`jyS^ad7Hz^+gh%6S9n=A6rpG;e&+L
zoZDF(Jk->6Za3!!Z^tCkJCZo;uW)40)5O6cqxqb3mb@_hMU;2iQ4%s!b1xNh;ow`s
zs)+YJK4?#fT2L>RhLkX_(f~Rfh=hm9C;#OK^X=Z3%Bix@?lOL~WVfIEgQd01M-UDu
zN#vQ$%7I4W)gn=S92hJ2G+$v520O2%IikA)blDSccE{jA)8pc_GbRE8gWRciek#JB
z<^ASQHgHh$Vo)b3TMTS*=qKZ7WthJ74sFW7gKfXg`RN=9Xeo|%LbO%kM4#aq=>Rnl
z*sfp9ZIA+bevxCEG#oUgP2B%>jR0@a6fs^_S#Z8n?7Oc)4W4ohE?lfvhnoB+YGa0S
zF!Bydc==czj_)1t^l~6Vao}I}wg`E66mO`Le~t*%r<I=#q>-Q}ZJjZ$QvqI?^j^I1
zkOaIh16a{lWSENkA=9p=1U@-OYHZJtLEe{HGi6p25Z$O&qdUq#tnuIKSJni6--87$
zPFf(X{9Qozj|v!m9(_Mts|lXA1!a=cyZ`#t&yzjIIIumH6%wsWf#8kI;mv$qn0;IL
zbRiB8f?ZO?o?r@$kvgOeL-irBg1F@LQ4LChxUa-rqkwV54XcW?2H<cZOH{a?06gMx
z+H3|C5C{?}J@0J<1NL$O%LVH2w&KiA&|6K|)(LDWcS0arQbJ0>S_6)LS9Q!ECWGb;
zzfsu?fEld_*`;y~@P79AeQym3#u&YQ`K}tnOIIFJ`j7^g#%IX)cWOX}<V_1L11daI
z>T~{4rUA7C9L8O)1`o;xgWCtG&{X%N`hkfCoQY9&k#<ytQyAlW0S6N}JXes?eoGxR
z*_2AcI~76TJv;r~XC{F2eKY^*76J6cjP`FFlmqD)-W!G;CLrA}z<bbA4cyO}FfCyc
z5csJ6iC>oq6kKeGbsNILaRa)0o9;reea&h{zr+NNfBQrxn5lxT!ovBxcpk`_%EkQ(
zGJ!gz@`^)>GUOh!_!diJgkuk8noVU*K=N=cn|7BX&|HUoTtjHc(=QTF75<|_{6YKA
zRCWb$cQGq3>K{ignHwJNF{i?%W0Di4rg9Kl4$oWWt5C7+(~a}3#&GlP2ZIPv8Ni_j
zluz0GLb=YyJkmX44Ai5(T<nb!pwdmh!)COIT6B(d-RT5KHqo!w&JzVQlWRM&e*e&S
zNZk=uJAk>$MAqYPgg`Jh;5Y-<2D&wriy4$4(0ode=(EHRtS&9iPfl*3W^1qaovGai
zv!m%VqJF$^L74A|Z{;>RDCXmrHDm;WguFyCV@^m@Y1Pp_yo1{Ci8z{W8$xNv@k2ZU
ztYA}p{k6E|4m$nmsMsl0Ll`#xipxIC2pdVM@?S=_(H5+?uinJ~1jneuzyHvI>T3Cj
zEqNR59L^GBeXtk$0%f`OHEtlKRD;w_r(Hd_V({g?`Y>%}Z&K~GioAV1XlLxViN4r+
zBkv)j4`Vb>PlZPdh@Z#9+P6^~DEf9>?yjF6;QsM;Ta^4k%q4y@wdJj&Q^T$N9ksep
zPFMZ-KioJ{|M<5>!{8d)y~e@XEUgPAwbXsz{(VF4jWl@TG}q9cIAJD*a2=r2oz&{p
zX-3Qo+t70_XsA)aVr%?_Htg>WWe|1AM~2@r+`VW;L$7hTs(rE22D^E8y^8D#bgWD0
z>$Erx9rNUw&8pIZYT1ygg6=ky<@VV_Wdbzx*N6VmZzL_KmyFxJAo@^Nv*;1Qy)<+=
zL9)%NkOB%DkDCg0zM~)7MJ{f~)6hbVmXsj{3KXs!%lhp#h8B0IzuhOWtFw@B#Vbz}
zG#zr|Y(jpb?<Ex1a~sysPEGgQO}joJY%JoQd~OPDts(b_zFbG~Wff*?FUhc$SRtBV
z{ui~cpoTWoZJ@3XvW|}Gks)tix(P{S7R?&6uT<pSLPM0x&jdA)V1*@B-z;z*4Z60)
zz?`&=?hg(-Rpd;9qEGP)EF%l(87Hb|pCTQ0gsXLO_4}^Rwd(tJIxL}+HsTh3(t9wW
z+g6=Dd_;JC{+gQ4&@vk2*uOZXLyu+h4Th~+YJi-G=YapERn)k%^#d`00gGBadG*3Q
zbqL|+Ub&%6LnoSKeJ{5#Vu_|H5x%_ycvdPsNL^k-#ZH%!!HOAkY_mw_QXv2-U~$cH
zd;_)bR#)|+v0wtC&EEOpyZNZ^gu74MLYZbP4|BA!VGmzqc;6hs!_(#E)GLy7Sk-ai
z$;vJc%+_bfLe2sY&$mpU_So&gl<huu+Ou<GMWuJWn5uA~(q8N>SxAowHupS_G33R1
z+8eS)cJnCq_tD!rVvLxll<iD;5+9b@KN}ZUtqQNDh7@&*nJ~jtwH7jq0Cw8T$C}Ar
z6+EJ=D&0I;Fr9z7cW-73Vh63q1`<|OpnyEXAcwGF1A`XKC*6cGrFWMM3-VQ9i4dBg
zcz^?A@{iL`HW9^);<b-)daHoLoZ<4`2rlg0idJ8{ojBH5`)g-RTLn_hUY&9O%Y((Y
zJ8CrFm&DqHeAtR5RiH6+ZLZ6V52Fo~XZ)j=!Tcg?i<~4>K&bmZOL`eU_EaKBR<}zQ
z(_VhU=(+n&mFeFgp8bMYUP~yh*H9k&_n7BIqn`@Y{wI{Fyex$6G}Xu#Rx4nP8^LiJ
zEh=Eg^_MxnK?G|J<R5YOP{Ni}i5h*js=#(P?7=oFhCMQsJKHOwg8g$i<5$dz1NrpB
zJ-Xi|u#3q?zdL@aVxOww%}C2QV9b2ISR^lvT^ep%d|HpkGS<8j&+YQt<wZV?lV-A5
zuK0r9Y$*W?EZo!iA(jB6e}0$++>^sT*4(F;DAK^vB__5{g9c1mS2Ffb$YZ3L`U}a2
zNZ8#p4SG!_5}bW8D<@!~h*?zn@<<z!v7Ax(spUY1obeR7ppQz}hrI!JY$P->!_72$
zr7}$jK9=@|MMDL1&%YfvHlm3=@-y*2OVxr2|Hx3k992v+{Y=NvC<^xOkm$7grZzNQ
zRZi~Uz+*LulS!wSDcA{GgvYDzx-jC*S2^RQhTU$tCO@vGh3R*a21ZBq;ft7ByhAnt
zYqtA3aaCFi6A>2C<=-%XS2;@by(Q{cCCx@ssE&da$S1pRNbG~kR?Ri8`x;or5nD@c
zQ403tzb^VZF#x5k@-9T1h}EfjPFjg;Vo@tk9$XYLh65tX2Z@P9%*d_7nz@678BJY}
zy0v8t6J72844FiX^L|UwwOblkboDRyqqS5JfBNhpgA)<ElYYj_kxdP|dEs={sHX|s
zpg*g@Q>}r;ra$M)u~5MdOht^n?J<FTGn4Bd2i389o}v;`paM2nP}CqPz8{j63{vP{
z6ENj|F&FovG8kXE^G6%Xevlbswg0$Z4GZzZD{{(;Vp1B&=#s*I5O?&sms5ztruN*g
zd>zS$33u|BURW@JjrR(wk&`MIUtK_es6GouFnPqhFV_TIIApHta4TbH7LSo?dDhXw
z{gPe0Mkc^3Bu!paRm7e*h|J`Vj-oqPlXEQ_sZeA`V#=q=W6O3?HaYS=$dN9I%Lxam
za1i=)v%F=o?uxXJqLT9nZ&yL>jnBs5Ca_5uB1mCxf`ac$X3~(7I$~%mVho#sBe!2w
zh+z@rhMKUcZRGTW$RWXs-TW=S^x=1?FgCQ}BES4{51h&Oe@fB^&@LfSTCWITY@7QW
zBvlz8=!8Vj{mTd>748odc+HF1RejIl<zNKAUluWJH+JXy=K9}ODknCQ@SuNR2qReN
zrY0SJYy{lyhy3$1Sul$ggRG_djL?$)iRe>l2u6s;#KAKRSOdLSdE5m?==PW<a!eY4
zr<HmP(R2sZu86$RqrwPsFBaHPaRb0K_8vPOMnf-t<5GOqzyOcs8kZIv_Cgr%j;(0G
zBI>PC?cnXs0ELTXWn7Q-VKmj~R2lytRMHJCxxGpcdG6{E`AZLcKUxM^UmQWNlpJ@|
zNu!5f&Ogw4Jv~VLLc20@sU3~HdS*D~AU#BeO{Sho(ghD(p(9LQMY+BQ$64^uLlJ+P
z6>UxjPK9N)?i4g5YOD{%nx^-F%dxaW@^(5PsOgqF`>G$IG%grDn%D#N^u+^dRoXx`
z@k9w1#t>dtnoJsP4@iez8IvSv!;I&f;7<vYNb*2z5FSqtp0N)zLbA0$sn43^ZZVBy
zjEmem6+#bFwAaqDB3i&|)gGngI*;7n9;w#(Ll14Pqt}#DD9~By6I>U#h{&0bpSu*o
z0BI7hiuHvkP!mHwG#k8(Oi~nM83>FJo49qTG+h(E9KW5)7qE(CGsz4M>@b2vh=}%G
zMNPOT9l^iiMMH)u?_wnXF+sCS{}Z%?3>;w7J?yfM{P^`>xTF9JEX~WFu`?xu&tNR+
zsp}>(Uz(A1#-0`K=IvZ_8X^I{>^5`HxoyN9zc0EUWrHp;-<Yvr5~THB+j7|D{dGQ`
z{AfE4kR_d6;uj^s?>VvBXXo~SdRRtIn-CZ1wriN+Lx|wk!dLJ1gdQ#=;D*mJ^MJ!V
zW2bSO2Dth^d3Je<0pRp{%BvJ!U|`Q2q!BbgpqpB~WX=Tj{<aFs7$5jQ`jfYrst#us
zS<*(Tnc?kmskT-&0oeXczADS54u6jpu{k-j!nG#8{jwJXA^b~RwpStnRu%IXZ}G7M
zab_lck|qSM3v9eJIRZGEk^Ys;aDd&k>4<us2nan`5V5FLgN273Tf_w}@Gwo?-nt+L
zvJ1%_te4e*d)D3i9S<)Y3e;J#@sWUxYBNWop&ER9@c8P45g$A}n69>QLkcE+PbYGV
zs)1GMd9Cpq{2(3hE+D!^2K@K2ia2tr!B3o_r28)cnEoLc6(u7F-G~P!znd><2kW$F
zy@bF?$amqIpFD_r@HcN-s6hjt>2u~CVeotIXu8&=0O8?Rk56W(!SY|@LqEzzVHV}G
z);OdD97lrEj|mfYxyF>&IawT}7T7i7zA1xw)llexN&@^gvwAdmM-qm)Rl=`dQUzJv
zM@6*z>X7|qR8g%!8W=y8tx{$15ZP;1vz4m>ivK*QkNsr9*XKuPR)-q6QKARdW{EJ>
z?_WKeCI{GlQud=Lb)flopDzAHf({Bp;<t8r5T@#8SrUlwEU9b9zlaRi+m#%?@hZZN
zn@{sxJV~&9j&(fqqb6Lu`Q7`5lM-kzMa3SIBttLdYKHtg1sJJnE9Y~Sfv>D%Umi+^
z@>d@N3l3?6Qe2)1&u<kV6?Pn%plU*HQyr^ps}8jJB3(^NIM9i@xf7VF3B;b8Pp+NU
zgVh@qZ#ItLf#0X-Uw6GGeDorWn5gW9f3b^r%@b-MuQJ+w?t>=qUJGiDUNC^oTrKIa
zBLon{{NdzjP4F7ut{TIPK;zy8{2zXGc;kQaOKAVD&Uc5K_+t@Z-!mu2m9x8dPm<)@
zSax;RE$+A6<;^&C+_4u+>QINhZ3~_!!db<s=HH&ikd}c2yE5%^Wme63-jnLUs99=;
z<EFxb(CU4LZgu#!KoF^k#={b;PEpunDv0UXjv5|QhpXW?ZD>Bb_fxduO@3w*m~vy-
zK9ffP6E7RL4@5;+maTE+J!Ar6mqI*JU#fwm^6`)nnk+nbE$%BlZvx*ZRe&`L5ANK4
z#g<hPpqs96OJcV!(i?QT9EXEh3hSucoDlqRU+L{XYyuo}3K6-lR3IiuGP$^r7d|zc
z#)Jx*z*cUqtC)l`Kx|j+;uZ^NSs!@LTu+4qt#f^9R~4Z|&&E@9b_dyLC0kzbp~8(K
z!Xeczd3e_2vN#&Ni1?m-F6FwL`!;65U-xUsf%5U_Is0G3$k{xtPfd4>A^WBJ)HhWb
z@W}eQ5G_=SUVSKL$s=qGr0WSX&VrH<6m4D4KKTQ+b}FSdWC7Ilg(+N75d&t~gy59F
zztNf6K9LC(0P`3@BF<MBnqMof+`KlAGC7Fm-93qbixw_beLw()y#Hf%Z(T(BmE3;4
zir5GD3_cn8hV#LB)`XvJD$8h!YUII#xkeymn&@-t4L9hdc-5O?%jkM~+Oe5tLrC0Q
znmN(H4xJDG9%-ywMqe*#8MLe$fC)?CLrq`-^pW6g#be9p(gkv6FWCT;mBgd}2r)u>
zoQ!(V(<O9hhne)%e=iV}>(bs+_W;o*B)_F<5xrMEX&zFl4_Ob(Klw&%A*<gLKhu3!
zK-=|VRsDAKKyU4BLom-8@<ElS<3#Q}${rRY?RZ2FJdNUxk(E{ur42S5O>_=jCQ`z_
zKh=diy_&((r3=VF`Il+mt!Z@hUh%ni^t!M?|CW2gV+OIh6LzX?=MQ?_&{pNHmkubD
z(4jZQr;wX`rHzfa-{{@uvo^|2+VB#qYN3RWBLUq`eQ4w)ni1pm+>D|PjuKAG3d`S-
zw|hlgvp9aCD?>Lfl;>!Hy*}o=IM;{N=agjnHBF!glnn|F32MO<xmxQ_TPFgg(&>X0
z<LHTYyg~nM3W(bX?Hw9xL>xYsMW&C9q2h({C-j&oa6;^t9n175WLa~V88aM1zf&a#
z%%e3SL?~zLW#S8DV_M`PW78;V#^vNT#i$8%zxVV@i+i9du@BtWZ;qk{`m?yLI5G&u
ztEKLZDn`RrerM=j97WSpD<7ZbC&RbSTl{|2A5n%u^{C*xqv(LJ>9BYf3FvA&-=FrZ
zL8F}(!{2p}qK$X|6fF@*K<wJQQyt!bdR{1br(-^bDqL#ZhlLWsxlOEL)V>8Z3y<i0
z@oNl?ch=B*_)G)D1mw#~LOak&Qh$|t$v8TLem-K_rw%gqk?Z3%U8pu|S&!NC33M&#
zO;-V@I;0;re(lBh6`k4m_LjcmCwdPH(M>fcz@8TA+T)ge=&VZ$eqM1B^;5D^U%jOU
zWdWz^!k_e`5%lyNxZ)|4r2O*vvsOIZ?G9+*<Qzh;^!?#+KKTa?IN!pXAc}``51A)~
zQ@^7#d!{2lJ4~Z*N8H`+`{JN$%gp{z-UwP&IP}>*dKPUr^FE(dr3#MaV%J;v$Ix-~
zO3JR0p%U`8M>9oKfyd}aQ$gl9%5s*IKd@r~rCK-CMqE|_LrQ#@=z*W8@G<ZFY^x>I
zku;ZKG@uMxS-9zR;YrlLD4p)}$}(DB(si$ustip@zX-p%exr`~vE0v1tEkd*nF-<>
zC9pP`Vi%(PMQN`Ol6Kl?=!f9Tv1jC!VCc~+^VB;tD1x2+WyijORxHX=?mSWi(ekGE
zFS+N@?zs$6gUBtE(r5CsP)HG83fmW+4_-hY?r?n@-Q{f0Upi$!Qx%{<1ABF!VF_(0
zcKc$Vxd)5>(zFvGr2yG={wH_dFQXdUQ~sr<449wsq`>VWc^G8zbX|C`iZ*-xc_%5(
zgcUa0UyL@82f9J8WT65YN_cnmlc)>}_FtwAR^KfLqf3Ks@xRy66>*P$`Oa)uXq#_R
z|3x`a>%qcye78^$@v_4@?Ht(4z#|kdF*(RQ_8_N4kPbUv%p;24<i=8h@GmKivJiKB
z>>1yqJy_J{T=%zXUhKk)8~8&JvT&M7z?@-MUr&=s(T)#4X2^V(_cv7*w7%M5&n20#
z@_oN$*z^T4w|P6dcs^P1^wIz4tH^@I_GAzK&=bZaJf8}v4#~h+b*TP74>nB6g|_hU
ztSI*Vns0hgnG7VERIhvYabWi)mSSDMieo?P3jHpY%D_*GAd&ALH<tAD+vCF_QrK1f
z&iXe$WWZ9<1Z%71#paXNT8Knhtghd7HbzDkba*x5&Yj}N1Z=EFZ`a6SPU!jEmGiRT
zfQHOjlLfJywCLRQD+<_Ymp8R<M`YpPfBNC}D#F;siyt)9Y?ZJ=f{w$!FgZy7t6Z#X
zDT=j4&hq1}Rj>h%A}>`dd59DZd(V+Aj*X;|*AM#PuqV{CSzc!axIR*8_DWF-+xxky
zCgFt|##tZxJ-<*9t|Av-G!4mM+2?p%8W}Y(Tc#W4SIm{6UVWJ2<t2yhk+l@Kq)Woq
zrM65yfGUK@f9sc-m&bhGpG3<1$r$TsQvKs>JoNf~(At}<h|PGvS38uaiIu1xk4*Jb
zhu|->UOlGD*!ghIM9xMErb#nP<8mcILThaVl}Q!*9{>RV{|uLRJk@O&hwZ)h-s9Nk
z*!%ZAq(UlMBub?u4V8+>7Da<1WJODQQ%F&rUr5nHMrEs{RAg`O`S<?g`8@aY-1qnT
zT-3O+gI>+1q<ZX|<8gMzP`-KdP|a%{@^|Qv+}ctzvPWgwdz-H*_WT)lbWPABbuxl>
zIBzs3FZ<Wz2R$)|tKwMA8JYpfy5rlmnY-pB2W6dMnUfV#I`;h%eQHRq91r6dy=hLa
zo4I-^Yr+QSmcE=}<)@NK<KMSEw=gGz>iN9dAJ`)z@71p03@X`MS~+aD*^GS3B{LxW
z5U4IaUUYn(N-AhC@Kvyyk_U>@JR_&+NX>h0?M$VSNt5(4YX@WUo7~&0^>U8jPcYA#
zXVwd+q6fPuR5Gil_VrJp71*-H)KHFj&L_3grHR+{NGa);3%rdhu;xfr3C{&8Y228>
z{U=Y0Y`0%qU$D{%+p}+f7Va}5&zv{VkI7UeE$9LI0&&dx^xTo!RfgoRqZzq-;$%r@
z_3u(P2~JSB7TTY&Tc0#-xX}9Lq6pc*CKms6qZ5|*gcYt>txJaau3%*|VI^OBC8>MO
zu7GvXrWIzK6mrzmz@bE=i?Ok6y?D{-6|l>97gE2cNe;G-uIBa{A?yoF>udiy!h%<6
z7uR}qQdRZzt-IqaD3IaK%Jy)CdIJylfq50OA^qu1Iu{SpPi|`3_P_xJ(yl^2#}r9<
zj=l9C)(c|u<9FK*ia0><YvY{`iY%Gu_0QGlya<Hk6az0FrQ>?>z>j!kNirbGjX&X&
zD54jW0#v#IT&wD#Zx<y~Sp1ypZi`{}?I@vuwLq(n@Q#>ve$w#=@BOU`;;`5{VA67d
zz(7{*yPIb?$!GUJcloaoN7AnRINLOP49;;>th%<$@cQ5qNxF%n<n^YNJ~!=<T>kRO
zpwlE{SafH)4^15Fq?H@BU)$n|`4%pp@gIx>=azHoIK=TV@_p~VX&aPZbhp1E_KuOF
z-7=rvB8K><nUjBwZE(c)x0>SP_r!8Uou5dd7+PZaldgnXBgm1bI86LIvD4bHGb~&T
zmj0Lew>DaVR6RyhN*N_?G#B1Z+a-p;^_|$EVTGX7^bIxBlf;vyl-xdVG5Dl){~1oO
zM7jLX6Q|xe!uofL@bq3WT$jE7aqmA16#p8o6!2UoP80?7R3wSvKuPvD-(42SKbiU_
zwTcz5Ooxvjs}aL5Cv(2AE_0+Coj$Kr#E!XBEL$kz;t1ZXpc1jo9640IgH4Ay;jq3k
zKPFrp9}Z_ZtoUk%>2oSMniOvQ+0in=wJeUq+;izK4x8ao4LLH`#Dg`D&tFr>mcZN%
z`)l(YW~fyWUCapPg9as}RnA=!XKkKy2;`e0*-%TNT37(rYY%-{uPTKDPJ2X@9ZaF$
zH@D|TsUS|X_nY$xNTWUP<kq9ZCP->x5!dn(M&(da>IG35_(+`K+j`9eW`{PeY)KG7
z*B=pQ4P#j}q~vX~*kpqBGg<p3_KBiFIJbf2pd6Zab=t&AnV`MnXfJh>7$S-`Jav94
zkFVQr?rrQdhPRZlRV#BozFZJ~$8M<zZQYyV_sfluy2Cdm%3T8S8#Ra7>y^;FeWCeh
zsxd4tUg1dIEs5fReFFz9R3O@agvTY^7;Rg&B`Thg!o<s4>isgRkl(Q4XGO3vj^8@%
zu3aS!2aAEFYA!Vd{XBAA=a@0hm)z3Yz9fTpgJ!qIS=6DE{pdhNoH6{j-c~i;C<l+i
zA4l`qHL&IMAK9=XW2iJQ^u4H-$NPk;L&d_HXvp7~Uf61k9+6Uw7p963>7uhws%n9&
z|IpkHX1~uLxh#e}S3+s!_RL}nZ9GmYjQkvEf?QUQsdsuRko#{<i?bUA`K3!kiXTm2
zTBNmsvaABuh8OPXzB(|XQ^q9Mn<9z!9LpW5*c`3bb77Az{{6anb>Dy~?jCp|UR17z
zBm1_i9Nn&m2;O%`_nbAu`h@J)^Qr34Q~F!~%0VBA;wyUkSD8arB<5u3VGUf}VKx%U
zYXHBHnqXNu3v|3C*C@JZBK(ufYW)%e814RLd3o6a+cu13hbm|xNbjz}Ds@8$f4KOY
zd&&}XJ*rKNuUhC|5&I^6uOZ5~XZ=^sS;772hrsr1Z7@{kjSG($q8Ti|EO>0t`9!hz
zBq-<#+_lb%Fod#`UE`pfEmkC~<n?<;fq#Vf@sS1t_`LW2kf(2lfwKH}C+&66{PXnv
zYoZ3&VMcGJSlDBI*%>a;i#iBzm>7N_t&ea$qd|UC0;z}VGh`V$X!pxf^6%3{zh5tR
zs1VRLFrT=oK?lN(``oS{(LvsYEun13f#09oE8_3z;1Aoz_Gca1cq1acN9#RcWaXtE
zzh4KAZ9hGK%W1({Ej@Qxf)4k-`#U#q=wKzic|K*e27buV&TMt2!??-q5Puj2xAhg~
z{SK(%%DQf6GLR05FQ4DO`k)P`NT&}~S5zP-Ta_FfO2-9<qy5KuwGmLZOZsxAA`TwV
z@$xuMhv2{8mPLA6xG&b5p=T+F$Z?16#+`JmHur+9jV6=>YqmH_N#knN=Z^)TV?^T)
z|9U$OkjHdxXWC1^T>M#ln<yRR&7;%Z=IUr)bEoNfr6??ROc$Q`1aN=fTzOqz4T~pN
znUC`b!(m(D;`wyoY=Zr-2{l!ejYUU4Ud@lctfF^Vn0c<-F#i3nq6&6y9%LP$Fmpx9
z=T8(1@MiDI1T`qZL+!WD$2?Ayh@6U&+D_nwz))SKmjZ%17%_1L?9eZe(jgz)Bh2fq
zmw&Px{GWy><*KlO{qdVIK@n#DTiAO9cFJI^B_z&Am=!}pEE>1=*r9@GQx$QRhRGg_
z38x(_C{pTi`1H&c9<qNfy>6Gpkn-J`TrL)LEK6)Hkg`Q;)77_b@e(lj?&Ns!&oZ&G
zp21!hY=gVklaAMH6vvLQoE`hLSP&|5c}vp=YfQec@@-ln2DWH#-E+w-xJKkSQfb!k
zw7Sq(w^0<HM=~4IR9WGB;+Y05-3ndCy6^79ieTMTs4{w4@ig=BZT@9Tbcgb`JkA$}
zQG#f6GRcNj4|7$1?YG48K<+R5qs+nMzonP`f}NSOlhJ>=EHEzJ)x0@e5ZM;$T^YR`
zaDAibLi4bISIdj!<4*+eFFkfPONI+>S++^<-<Ttgf893&iU1@_=ZaGHbE6Y`R`fWV
z<L8Olc=LLGR8ZDN34h|jqtPwfPrWsR605s;)Fpnr)47=8>&u5d%PgjK8_e)Kt^Tf6
zB0tXWTy>GY%#ZRZ!|BdmQwSX^$!x#P51E!H+!NJ;FbH*H|9#jL_ddAp6d&Wq=@H*v
ziF9Fb%QPxza+{)dMa{>lodWoMu$b@7D-ldSwq}smO^_yLNVLoeKs~&@ZF8F_zDzzo
z&9=e>9L@Zicp`|`?+4<(PKaSmVoki&urWlcK3r4H6+({pYN;x12_#Jmo7G%3M)>yn
z#H>5QxNOflW_U;vheL;caJw0!rI6Q|>!1i&n5mliRtf_(`dtY;#^7%`yN^d+6tD7p
zbyw46aHRrP@88g{I?kHKvP%?}IfHX2-pj%_wNfu8g9h;oXMcf*V(2g^-sKP?k5iO#
z4&NXe3Z*m!`EtZj{>A4&in$^rsr3%#t~4wXd0VS<Bw%#-((t61G7=vu`_7rt5Z1D#
z?^d}auA~0L)_4_UH$PK*q)S8M$BJ6#0VxD0dui94SA|)K%KB6TX1(Ux9~NyH)F&9<
zwz{E)H*yZjt@bor`ZQn09xIFL7Qegwuhg-%k<+YmI}K+}`2V+NN)E<j0_(R<Y9O%T
zbf97?4KDs1r{bfS`;{R^yTi<h9gKlW<qqaO7tZ+nRZ+sWkDTd>0ZhK+(@yNC8e_Sq
zyUU?n8KW<M<(S^0pxC8FJ2KB0Z*PbGb^D-#`Ll2Si~Od8=X`yGPc%&soa-)iyIK|c
zMeh49%IQJ#gWVG9Oi&;yd@=ApHB7$#7x0(Kk+5IYYkN<b;@^{94eM{H<I3=~n8IcQ
zh<G$D_pC9)LH%%tb2&_2cC+p-bv1<CE3LL3b8~c`XfA!6risyqf{)J086mwi;=>I~
z3+z6+)nhPL3kSJ_PU=4~LQF)W-RwF`STxCwW$x2Py7NgRabYS%(>@J`g<3(-Y0t<H
zf`XL_pJ+ZRRM>^I8>E+7!z8w2Je^esHoi>~bpli<@v$F@9kIc%p+<}Q9VRahriZx{
z8eyM*8Eb%%9jsEg-3Dp82zTsYJ=<xBA65GI(*x|Ww5v2AC0!RawzD7gYnj{`Y1SJ}
zC2&Ec^tr`HU6|!+*1q=DM@Tun(QpIsp?>Yz_HVlQBmU91@R2S|meaCJ-T@ZZtDG|%
zbTNIBy1cQSf(d@(r&VTjWV?wu%0%meg;k+R?5!5=g&&&!kw}Np#yZ(O0=if|B<)gm
zO9KfN?OvrX>DZcXU&47%2irDnUrY{F1MRm(amp|q+Rk>eFYizgr}wI4le-E+Q_nk(
z%+Yc4`m9?_oi^4*1a!EDDd2_l0TqQwIy`-c)%$9-!0(xC5PC@lm6pEI99?vzjV}35
z+|$IpMAHW<a}vnTA#U<Nq@&)`b!sY618k8OY1>Iru({TRHZl3dqP%@>W~(}?-!&#&
zXcL6G_Yu|wW?wTYjs3TE)R5U&?k7LR1J=DOFUtM|?wId+t2w8F2#@I0mTnFRnN6jI
zT>*;1PaJ<)pp5q|#^V|>tYA%VYu2;_`sH2jQFkd~tvTDD54RVI4%=jrf?5LMiU-9K
z?B$_$%Rpb~%q(%f&phBcF99WY<6WC9WpRtAcd8|9iYSm+t<ka89?RYZ^nnf1=&Rl9
zFSuiZNP4i@H~X?3ykbYnozo;?!)g6so5VOF{q9Zjnl4*pr2YDRcUm0Uml{lDPmU2s
zCI8#hqGgMFvc<ETqs6ea?ZumsgJVR%YS~ZkjxoLUbddO{ktkNZUmT$HjS)1)m9xe5
z*65(^?#g5nK_1rzo`;Xd3H6j%&k_Y|9N5|8Z7?bbeQues#l8vR9VLQm{<syw;LY_;
zQ2=Mkd_-TZpCYz$(iQKvS>pM}Gri<lJ{)<v&9!lEnmGJd@KK$mCDVHp3oe-OqS{qt
zDY$)>==^%{-0FM_?Ct+5RV~4T^@(>%&UDWc-L04JnFv^*JwPF~Q<ocRnR@#N`Im^`
zT0WzgaC1cG2wGMg;lggKtnN%B7G(BZ5~ck!L+49%@zp;$@iXDSj&=K4(JNDOj|eow
z*NK{%&U2jL>-@HV^Ak2m1nbq7{xHQkgL7%zo}B3XP&^eW$AP5YyPMDLGsVUY1!a}4
z%(|3Yfc!;Hh(7f@(K%v*omSOKRDVwF|JN?_Rh}DbO9a@;!b}h{p7m0&kQ4sT9pe8o
zcwm%0dRUjw1l4i|J}WtxT<oKU-#pES%kFwF{c?@rI?S)9oyY~x%_e5mTLo~G?vfU5
zVT^^>UBVj-x#4D5Rx7_n2%NmzZJxH#nEZS?&zR!IRL~0mSU{)0%@Z~vDCjTSur8E_
zE3XfKFYD(4k<p}G=PQbT-Fw%>tI_b)g4N~42roSManVdN#Gp<0bFXZsVm?hmyH=GS
z6YrgjFAa(#`D@?7b!VvH_03=V=_HfaqalyV)=J{NGv*r|srY5NrrT#q5I+h66oZ?k
zu*y2m=@~Z_x7^tihO&iWZSycH{jdyl6P9>y+%kgvifPT<3K7VJA3giUKo0M}yq&$_
zZiJMhvJ$FgqKNA#2z<+@fMK=Dgf+rOD7dQ?5%Ee4?c46pKjTq?ozAr2y#Yg9EGmqu
z92bXB$~Eqd5-N~P9Cg%wZ-|7mn<Cy?N+K}WaWK|Q6>)K|efGB+qG8E*>_&zZG^!Q3
zzwA|m?xJ5{#Ec<kTi0puGJVgG_uG%wVs)VG@8b$PBXnE59gDdk%k(jg#J!6e@UW-7
zf6Bc7piYhZx=r#3+npob?xTe^TcIc@Qjx?}HfE!uh{WWiJ?9&=vE|!Lsb~ZhtI3|e
zcur+(kYC)nXsd%@w$h@YNh&CeHkr@SDp>7*lxugHE>_5zJ=>m0gKv>AK}%M}>Q!cm
z_qFu#<osTt_soBHlvLXyp05TwgZn{SFBrhEfHP+$rwQV3oBL>2GxI97Y2N3XA<phz
z8`Aub>9aL+v>jhG!1-|QS*{=zx%$ZgWs9b$?#r<lp4EiRrG;L(%T(~y5{h~hb10Uc
zGNDLnL;qD=x!W=oR%xB-`iCqa95b45Pm2P_<F<p9t7&L?C2pnu!4jUHVPo4UI*1MZ
za8x>whPdOKg<m>YBfD5XCRtn;>CzXz|L~z9lf`|8z19Y~f9$KA`gLJ{nFt+IrXeSN
zma4PL4r(G*(OGBpP_kC}RL?ys9vGavqVdumtT(;u`FZtmZu_~s66QRe*VI(yl?6`h
zTKF-$Ss$|N*76GMFoeuXO3jHEKuqA(F!96sSjn-w`Ld@zej0`*KH5x2SZhUJxw}4U
z#aE^m^5|k_dLhHFm5wAkk$Am%J^bcc)%h}38<7VD#Y`<6aN5fANXr2|tYWmi=<d~k
zJA)i?ig17zZ=eVJJtj}LC|vV4QNyDK6%O^A4&c{m-`@R92QM`9{O7flk?|{q{mDZI
zY`QYb{p%(LS?3!Yi#6r&+KnNhcEbUe{WFi<J*17*kDNNfqa?AZBh+C_lmjYGl}o6r
zXkkCA-u6dpM4|j6z5dfG2RxN+Jmf<%J!m3w+1`*J18?u{^;)LGa)bQ?K~HrIoqhQ3
zOaliv)^F=RUd;3((ma6ps|t~X$9BC<OGNKtU0vK7I=<i2novnn0d-AOYS6+YQEGkX
z(EcG{Ai_KRjkgknsAc9X-G7Lt)MrIkqkz?CR#L)V$YXr(u>qfv0peEq<oP8jpw7xO
z<)O1Ic(RVIDNk!7#I2t%T5csEbG@aOV^#|4F7BLRGIhjd!McxfiT2Qr8SvZDA_12X
z*F!^;BEn}mxs3M24m*_@z3V!}aLs>nO2+zZhWDLS-Dm#V!p?PPqZyAV<{nF#xri1s
zrZ{8%yr9^^euV3eaDxz9Z!gxh2Hs#8UAMhw6<`Co`OcGk?ff7!^De%%KE?2Ezq}-V
z&l=Y%%go<1IkL0QF1YgBZNkvusDQ_`6|PLH2ut*EfyM2@)0wd6gnHeiL(fVp1f1g)
zRBPhE2^U80t%nW7zFjShE7_LNzc{*?gOeRIoUOxKvRVipO4R7uNel2_`1Pmi1S`&2
z7U~N={Y2<W*mL!4umHuM%gslf1>r3pr8L!hiHGqCP12R-P<k5nUm({KvF(VLXL8Q~
zVf<_8=tm`U=(Kx}-q2hi6m}{2c@cwz@blYV!)MLlnm|b~xi&|<4UONi=fO`R(&S%`
z-MlHjw`>hb+c`_@TtDicYx;*s5U(^UIb@3bIG;;AM`nm@`T8B<{-cD?-n4p!ArmB)
zrk}r7H%;uaAO9_AJ4T$pocrqJZWB0)gg;T<G)>$n7T=bnGC|z<CZT)pn=u-$OQvcn
zPZO%=my&p;rU*l!7ki2Wj1ii<YQwV9G!eylq=%w1L!2I58M=Fv27|E$>k9X2LhSUj
z(ti$fgz2`q>6TM89NO`p?Q;1v(Uoyy<YUYNp%HY&=^q~rnra)b+pU@*f)c5gdEb_Z
zcl3+B&vU3)x-+sI%soql4T-stk65ryz5fkiN`)W!rp9t|mXPLGxEC$T1{wRi9&^`>
z@Yyl`e67el5!39$eKwvQW2buF@_#l&Ww&5L>(&M0x?kQiHYrYUcwkkpf*}rbIiysz
zE)sT%JgZ&nxggY6n{q$E0FG>jBiBYP6OY<%hb(0Bpj`d=g@&j4sMfkuICGx`T>P_X
z!<YF`N<A5NK~^8nrLDI*RkLD8_;(3|Y5^Q$H17+K)I+>N{r<YIY={zbF_RJ%#-Fu*
zFDWCsP@#6cJ*3BhdA-co+;<}2R(rN{-9BCTcuGpdUFJl<u%w`kkr?h$MbCWvtAjm-
z;q8&C+$cRPzw5_+acul#JMbz>2RD~!9%^ko;JAM&i0&bYuKLs2$5nLjnA$ZF@Q@Fg
zr}%lMWTZi{{T3bgfr8qe*ShDP3c!1+?Z0v^S)^9%+#7m<f;aEks>i2<nBLyWP*jpf
z^?l{64?8J%d?3*;`=JOtFMJuk<EIEx<M8?gR|<w2zFm&y6hrI&Z+{X$Dr2AVc*&9*
z1rn}fg51Z&k=D-lsLEOu_Wsh<9zhg%$E*sP=afWaeCS)dA~gt4#P3`zrhwNWWT!}_
z6uNv%IXtyAFnMgI;fjzBO8Et<$g?u2+tRKTNNVCKRsWy!H62V<PYY3F<nV0Gwuj?~
zwejHF=D<!bric9NUtrBuz<9yklJ#afOn!TdUUbvLb=7bA+C55OM0CA9z^jKgm7-Ik
zr}Yu}<(hAEz6y@ra=IS!Lmv!T?$@Sc2B>a7wO0A7D*PyRqT#O$v18eQQCMn(3AY#-
z6;pM%7M{L-bsZI18ajHVy;OV)sXE4UNdvok{3cteG^EnIZ=V-6M!V%Px5-IO%$F&3
z-&&^Ol$X<fvqL5rlpj%i<)e*TtsxUUWybh>S3A*n#uSV1bW(V0nD2U0==L;BK>Ugk
zy<cn&m$+MRN91&2W9XSalWT%wFCImhMO%XG8!<SvT@S4D)YZ*3CP>{-yUcOS8vjz%
zE284{(J<CG7*S|~d&Atm{3mU}x>VtFA;tiUHun#^S(`xRzavXTq&==)Qs@v{V~CXg
zp|i`e#(2y%^SQtlaJ)e-xqULku}ICh(r6kia!!`m=+d$4lh$J;Wh2xlT~PJ5qQW3V
z?NAkyJA)N-adk|;O*5q&iQ8|0&ra;OwpBP_+sdl}k*}HiH&?&ImtPkTkIgD6I60y)
zhLSi;F+_4+h8`_M3od0pRaf41M1Y^rJU0yBrM{!2<((SVJXA@p8+62}j4{hW34N5W
zj2-Gbtc0t<KOgbWIzl6Z9w7Wc7YjM}k1yYphNks^)uZo@$SsWGd7`X?qW4ixRvi!p
zzl8tQp$Cr0Sv|`(6r_zPUN(!ddT!)+uj9?z<%rRili_(qnxMNzY;g!!AS&4w6FFHO
zQDf|pLTgcn2D!iaK*10(lTpwA?}7tPX&<nCzN`uy33x?)Tg+I=Vj3AI>45F0lJmcs
zsbFkE_(A@~K}LEk+X2>eI;^*ZWSdPZAmEH}th>iJW3wFF=cf{Me2(kx3@(wy)AGdQ
zADm|yuAky-4K4!{@(raDX;RpFv1oKTZjrIqPNs^F$ywvO{-5WW``=8z{PCwQ3weCb
zGosU+!20KHQV%#q@w24ZGMJr}R2Q9kH0o@RXrXcCVjV&3t8(Za4Pqsq{Vv=x<ZlQ4
z^A}V3pYY)9xdGj*SXQ!PUxs$qSzEl8Po<xz;J}ZZ#x1hjSxF^t{ostpHjs(!Pc)Tf
z1^t)&{!uYj@{q`P<I2C*aQi%c;$zi3;XD)G`{zFv@}`Za$_ssKxNt<fNKZ}@QL49k
zN(dHm52K!La>NQ2xxbGEHIEWz1|Ig>xyy_<o7Klso?D`Q!<+uP$RWb_mF$114NHtW
zW)d}CqLwIM^3gr-*GI(eHJOCq62p4J^|WrF1x!WEVrw?E5VyLe42Oaj8PXMB*5$u8
zN8e0`2YYV?F`K-pYIJddAzpFj-d=rk^cYUq{8D(#VBg>GvQ)9aF#Fh^Z+XQG$F^n`
zwRtx&-tmsB@5)(VysX*qxQ)#WEK&L8Q{|r-dL_QPQI8fF`_jkz`9e%lc`&W%r&2#-
zzN67qf_;$@Dy-#EGHim{jVx(`!rvKZHBUT@VE)(4r<ciB_LyMFz1L0V*%0G!`UvZY
z%@QN%UuV|s@5a~}F-xhk`ppn$+{w+-U1oT7zX*QE<ms8~nSY%xk1+ZT5(j=!Sjfj$
zqLTlO&|o!O_Ta>Ue~bkd;qa`_ETr_V=tta4p0*CV+Uyk^XM{_RoOQp=N}kA7=i*`V
zbZ5~iE!olu#_o%xgmpR_xgtuDYxEiwd8axbdwWkYe(J{@sw!e9TZ#h&YfY$74sO~~
zB{9P=p=aGV)y6@#%6X(n<{07AS6}5z{j-eEIQ#OTE*H5c{YlIHFNXN1wCjxWt9gc?
zgVL(z8{FhAO9%G^6+@)u<gsTpE;7!IhGkG)c*$9T#wT3|4Ito1rda=5W?ZfCtqqdn
zCr$qj_3+p0WB;XAHi`->dEAUsu1Z#r3=u0(iD&wa`K4veo4#zMoX2Q%fvYenwKpWH
z{h}V+Hd2odJz^)X+jS-`e-<J8<Ft?6=hQ=!0E53<kCSvU9n+4~6C?fHg)a=o>*BeM
z;OjJ!i%g38R*-Z}octi{BNrv6i_ZsN#?nvnkiVnzb50mZlK%q$0RR6Cmxn*qZ5YPw
zz4zYZ9Gv4Ed;e}Ti4>v`Np^%#gd~*~N`;J6B%6p7okzT)5F(O<%9iZx*FSK7uFw5E
z*L7cCg;PB*UY6it;-%k1V@DPg%n?3aJ1&5_mA$ujj^H7X=h88LH#SsCFg9pv7D7Ju
zicz9mczB9_zBrM}fn+YUt+BL=AbDF-fcSSDR7fjSE<|&o=ZzCjM|Z?fzK2g?I0XkE
zb0^-`eBeg2E>-(o+$E7m%>qBwYaB#W6!K1J@S?#Dh0!}}QmBpBONgrr2S$1P-p3pG
zkY-DSQ=XFydMWz|qUrHquF!e?i<baO4zfME@kti_xby9Kfg2vupOzI3stTdgnyK&D
zPROJC{S=;SBX|hso6LSBCW7A1H6~wXP(<N%wX-=XO2D6SoA0NJ7%F(A8@z^aNW3>R
zVl_+|rgYje-kgv?<<5)@MK_gD5jKtAOjQB>$%(FV7b$dK+j36JLj~2J?M*niOn}6}
zrNbd<(kM^=y@rV%5!JsMPCA#R3Mc;B)GUw6Af?wAaSs?sC~9S=R;P^wqxrNBB|36@
zx|<hg#z`n5d15eejtq~!raYidmq($tMu*yJ$cV7d0QbZ|9im9Gr%0O$D2Naokr}9l
zb~qh-Q))DT=1k|jiYpFPcUT2|qE<%|Z#&~7j%mTyYn}s{Re0296cdm6siQCEuPs=m
zb$}_Q{PORAN@(C6U+uRHb<}t;!%LGv4~7-ET?1uQ(Ds3ZsGB#`Q45C_`{x~fxF&!R
zmgEWOQc|9gu7)~tsQw-HdD{?Fc%wc_t`ktiH0C~eR}C=@Q?Jx6VUTA2F<I*_5xLgT
z{eAX~jHKrK(wZg!g2S^Uh9-$faqI7(d>9F7-2E2KgNz|gC-Ls!DiJwdv7kv|CZb{@
zE5lNh38?%NwQqSvM7xqdV<p;^P|cUM0!|)NxLifc;7cSTbA1b?(L;*pH!<>^`Xy7?
zi26i7;7mYPZHJ?y-pC@>dmQ(kwU~lnroW=OnF@l_8a~}bDP&aGs!9533iWiT=gg84
zYS+?g9#0iUO~S1z?O#oyMOfZ^J`|5$2xYxYJ-~~+qDNXJ%1vSU`l*TIor>tjyLSu8
zwya3x{+En)UsLe(<#~UdTLIl9_s|@Oq(=U6FBp5-OyP@-Z#vp1hq$(w4H-=rDP0nO
zov9z2z>#oYiunZ@<Qr@v*09k{`Ir3n=M5zjh`jEUvQ{mHj%q5bHIWCgc(t6Y{!(KI
zRnLBH@=qK!+UHU&?f-*$@yg8j6OF-vj*oi0L<BvH4_H>nTEWgftf8MR12`TW-hxXJ
zL>=7cdZ;Wmu=~^=6-HzL@od+j2L*g+_dtnL``K+QmZH*O8HfQ%dQS4_DmN<X*+{$`
zyo)V&SLeRHXatrPcYIYhInX`sU-4lW70Bs%B;`Le1g?V>u|1J2=%CY&yI!ZM;K<rP
z52LpRfKqS1u=Zj=5=-6=H=L+I%?Q^QJgpBtCTgtluV_#l!O(%oPX*%4LmhJx`XHOW
zF{C)SLrK%|9C#D3i>29>T3fp4!BNxanMG^=D74&#OqAO@SXe_!EyE*S=-?fcIrMso
za{fpM?eY9=EcNI<jj|~nD2cdKDJ1`g(&AHNKJso0(|(cmuuV?~_Ul+V{~G;G@y@H$
ztzX>4k{PYc=k90&PrIr&ugG^w@u};ltc*4>wXXT5SAVoXf~@5Ej<<`#)j-z~RI-7Q
z2Ng;EhqNFetgm%#x{`7>%DY6)WCIi4xm>kVs|lf2#+yP(wOGSPW2Y6G4Q!TjK6hSL
z6Ij{{*17^ZvC}i!buJ6**sV;t6KC&fz?qL-I#~t%n5j$ffB@$Pc2f4Un+vlBlo}Bt
z_MiBH;XLm&2Oi(R!UBxA;^Nhz*C}zIl*v!5viyUx&-V>1%1T-o?WzG=-$`M&hvV2Q
zg&&!#$(z`)^ufH{I5qHRK5$T=bqb5b85u}NY++ueT)!0=)F1~o#mv6WV)Q`<_eJk)
zW0_#wqL54mMq}T=PlNNAetvwT$Jh>blKooqA5k*=w$in8IlX|rPx8z7tw{wmfANbE
zB_t3&RyQv?zla^Mv%S<INDWJO5@g>137+j%-r9;<#%d!9+AV}=K#Z0t@qDE!Osm<2
z2=cFDVzfL8i#oKBFIZPdJw*h+edpesc(;cAe9v25dw~wjH@~VX<A~5K;mz{u+B&wG
zwRGX*7(MiwpXn1jLx8jMxu)xWn^-m7ntEk0Biuq2r5tZn;O=GP0JflQOfRS@4#P2n
zb@tbW1N<t$(fIV*a{4ZIT$%dP6E;?O$+;k<8LkXb7d_FRH7d|U^MS{u*&*`ae{JT&
zN>FY4@C=^;4HPhRtyuYULR9U+4S~Z-uyy@=c6}x-^s;XM?pWah+a8k}UY&TjBQnoA
zEKCotHdb7w9C)DUlDm+Q6CN&DB@d?8F@T#JYua!xFUTJ<GqIS(!LoL>l5Q*$xE%bK
zrhc9u;?>f&AQ=a$D>1A(0W84%jMFc{SP*6p+Dc{_<3OpSMOiO_4S1+-6@{w{gBphu
zQI{SEo+{26tQ{QSlmFo1<3pn0C3@M;en=4pVwJl;=5fK*xYg~LOmXlCcXPberU(&Y
zg<s}&xIw0NG+K;R3hYj&TW)+(gt<hAwy6kSm_p^&<{r|3yVNYExugiM-LCeRaqt6o
z;0fLOE*Y4-uA%R#jRU8YPD_?n0mwXg^H{<$Irvb$<6-(32aUo9W^d;S!4NTN>+gm<
zoU8SYCTroLjP~uvpnMT1$Yt5^uTq3Ve?}E#xA5?3ZluHcqZpJ|XfZ0s;Q{M<bv|uf
z3Bq%V#LNUF!Fm41%#^D#oTcXt3)57A^LCvdQ{G9z_`?Lh>!t(<5@&GwSVMr6&O?Sh
zEHV(uuJY`SvMM|jr?!kvPz4G71E&`~WPuQKHT>8W5>%~>&>ZU_0UP~~<8=SY!Om*c
z(J((Us5o|T32~^whh5BLRaF7jZSZ<bdTKy-CfutoLLF2}GQCe{D}uj}N>{<$p0AGF
z%l*u%2_d?^RRs)qIQi}m{Y<1fFbOzuw0_V6>=85n6;CB7n&Asr`>YNhZ};#Sl<9z@
zP}}{?B4s$u>XL1>pblPI^Ovhi^&nJdx;LR)1@vU%hfu3JC=6V@7tmk;H@wqw96AWl
zz`^O=Xs-^>P|MbXP9s?8B(xZ%62V=l@}W<%8YGU3`ZN0ibd4cu4`EgK#%;(R5<`X+
zwm;nMPR0<XBWaf9qzcFW8||)^Bf;`Hwz%g66Tp1M3r|?8g5T$J)-%!s@M9jk**<Cl
zb|%!-2ljkPzkKT7&Qm<xeYibl6J!d3F27zx>k}cZR&Uv1Ssogmk;*8aOd+h)p&)7R
zJxDiWf|zt=U>^g)D}>$*?giF|XfvxoSS<6qFUsP;?@zzqhT9DI(6!{O2TEYK#?kT1
zP5_KVT<tv9O!qq6w~oj)9Mn~vvi9cZf*ziW=ZqRm0SX2F>FFp!kq`^(Ss8lB;<?U-
z_cI0NGTu}LFL{t?(b=`PTf?R}mvt{uo5JzGk%!B#%Yqm^wTJ=TFcukOoUVS$1oTXl
z+}6sa;Ym&LZ)=A>%JUa`e@=0j03``u$=)al8kGad>%aa`)*_Oa_TMswl9byC?q*`p
z9p*4PfnTF|C=N7=GaJK+*j`WNWg)<SGKak0Es7JL)Jvml0DQM@?Pm4!gWV(AmsMU=
z=o%$I*MbQEe}^zEyTk*xWmT;kE2xpoWJN-N2nPKBg}IGba=|f~m-Vb6G-&bTP85+~
z1nu_JKjmJqLa9Q=rq6pCRO@iq$ZWqMoOXW;bmojOl`1;e{fP#}e7nY47-RsauKv98
z+ME{9koJ$f$27<<+&YXqTOVpi48)~fcQMP{ViSf#G|0-M^Cokz9&qxo`COg*hpDad
zY<o>pqh6!3UKU<Gh-Ks_jjAqT3qFb;>0_voQ03^zjbpk{pU@CrCqIkDWgIELz)g)3
z@lj{#3UpvO6-TSe_7nSdzE(-8oC;M{@>XnZXoCSqsVnbzAEwW4aIx5h3e8L?-={yK
z4Rp&PWTkHnnC4oOfvPAK%G@ZedRwgp)%wYbSJ6v~fZoBad!xIQXl~uUUSTa5`PCxQ
zMBh!J^9wIO*RV^eHXw0OCuo9zm-Vn`%r{DAq++~f$1dg61wsnrk_ON<9b+@PJVsI2
zARMb<rb5O^ac671HK1N^?19(#IEBEI>H6K03XwLrGky)L!|s5itJ&5xW%H;n$M-xc
zB>y#}HrPcS<mS`Q+V}sV{MW@*6Cgp260W*s!H^nQuWayJnk`UN6U)^1)lefAWy@#a
zp$2@4>DXt^B}(HsnZ+WI2I>AFM0ie<VQsMJSyJCJrLt;T!pn>n<%{+WJU&MTo@knz
z##yVB-%F1>dkpB%(=%%08%$&vO6(T1@&8AWubCZObD~E%wc(CoIV6bsyN~Ie`37Z8
zaN~Y#8Uu3VH)a>r+2aM-FqLqPEy`GNVA|1bMwE1HsE)Bj74AITXUl7_LwO`k#5dh!
zMoTwtvt;}w0y>i3CrqY7T<LdXt;|`Gp_J8cT_YlRo_5XDaHK}!q3eYoRoIdCjfHE6
z?-PJYkJ|*FLW9)iZDhmEIgyWt4t8=?1;$jj8G1))(M^Tf|4z1XA@Yb8Vn3+@4k7QI
z<qp!L{VZvMW^6pDKeo$U<f}4#QUETQ0R}YxK-R)1kQYs~oxFN}FV`2GxQrL#nb2d`
zed~*V_>lhbx_ef0O7LFXJ)`$93u1OpTbE50K&b|kuV-#4!BIZPT!JMVdj9YRgNdsU
zV$E4`ST|6DvdGMkC_fG)pjKv?Vl9HgL<vt^ck%Gxi-quWS1!clY%QzfErw!_{t7tq
zW$!K*pDKHv&5dkuGZQMs63BLOT>nZl9vZkb-ILdO(D&PNj+c|9&}#Djf{k`ObX)mP
zN`>+v&V8A3e#6p8|8nQJ{t_PIF7A3TG7F%M1pzgGb6I5OlagesuLRShw#2s-K}7oU
zxkjQ%4(Z8%Ep04Rg1b!)ZRgU2(V5&E{@#uXsJQLO;uBM4xDuG`y_F)0;)7ev$lHpj
z|Ab$9EQbn|erxlHD-lN~sW0lVYCJOJtz|UjBEXb_eMiWYB(mw05gCe5Mxg>1xrJ<r
zVAHA>Eg>t76td6Nrx+0sZ9X%%c(*EiD5N<-cR~iGC^x!~(x@Ub=RzD^Cuxso<1c6x
z%A!}Fe@!L2lF(9WZN2><8S3n1pQUcfp`leJb~+_8a`_&(A;_r?|8?1nPTMJ<M^*pi
ziDP8cRm?kHe_8|77KS253Kh}N@J`8*Xf<@((>#QAQ4_@G$FoP*aj1mq0Yz$F4Gm&k
zf2uRJAvE-<KT%%^d9AI!=O?S9R>5ocW<7PmYTICu+DjSPSGgA-)m2AVR2|mkP4uD5
zeVge=pbBcMRNK8vrH&>QI*fUg4M9#V)|$?mfWGv5%KW{ghWrbRdzZK{n6V$0r&}eU
z?d^}wO!Z{6={9Gk911{p`&L7^ClRI7j?vt%B%!J;72|tW#<2L@hOOi_5iPKT5BFyx
z`W!Bz#>Qd-%}#vxoP&wz_3TSt{ID|WYJF2oTVw*#mNykRScs^9;fVHDE)ET-JAE#Y
zH-#&=lDkg15>QA@W5trbJo268tv(!O3U{{Fg*F0IQ0mhX9kniLR9-u*QCeUMm94(R
z%%F_Q0-q_$tc#)Qzc+PK_qg(XpG)n)C>}{kU08Lj5kO)Gn{iL?o5J9Jk)U-K9D1kt
zLMnZi3mJSgwXSwE1=<iL$s2VFDA7qV+vz(aDsPX>(dXLZR-#-(9KAdWHOojo4Lg+C
zNx}1!a+AHD7(^{(C5vo-PjMRK<|$>R=STfaOrWN`?zUHoG{RAKd}3<aDJItf<50UX
zbUgUis(~a??r5arT75qjP5rbw&dwMvc{N||i4{X;Y3^G5*Qc=%F+ur^F93cH1a|>%
zVT7ZP%2B9U#0si;2DM!Pf>^C=s-gvu(sIpU#GO@)$&L`y+Jr%(4d7>6co9}R**Gt`
zjt!D%Xbt*}AR~C^&%6aUYS7%BKcBaOMIOy*U0X1O?E<FekPUVO&bD_%oj0-Unp6Lh
z_zYpe=ZM*-Ze}Eyw(Xm9b`xV%+xd&b3}9?N_Omh<1LEpa&7_EKV&hw5O3y;{!Ccuc
z)v$sFm7X(c=m_7yu8)lJ)EDbPy6jF@kkc+DNbpHvXwEuzk*`vMc}^Ef?M9=W*VZX7
zJs<6)l>Eb*@&hwuG<9Jsfa!QEd4*!D5auTJVhuav^&m6*vJMQ>?kkY~_m^TJ%l2%m
zeib9?@rUybXhTWa8DZh`(-gak^zq02D_Ex6i~D#rZE$X<=|1t}CxtxZ@t}u!1$+1S
z`hSUcw4gqMq5ZDl5CvbKU!{0#8S7T}vYJ@Y1c?|Ob^W$(irZG><juAvtZeJAKdrka
zxFlZ*zH^|FlJp=U;_2}vtf=^3_S1F^;HsB)q;iR)P)Ag6$Ota&&A*Xx-$(;Gn~uu$
z3BSQ!t<4w+t}S931&>aaR`2yz>vAWJst*`x4aB5&7O{_PCxe@b>R=T_zdhpk8S`sk
zzn`nJgn6m3&%G*9gJzo?%HwYX*f;io!r$>r*!^FzLV-jzc+K~u{~FCO)-HIf#hiK>
z<JDvDXsIH@)wgpqb0MRc3ioR+z30o=(wMb;xd9m#-{a3ueE5ldc2({UJ->p{>lXn}
z8wq+HN`yQG#xaJN2>!{?RV-oUiQJE)B$${dlY5R&V(~}(eJ9e_um!hAA)EuMFswb=
z!BjMjHK$X2BxnC&8_c*mYI;>TBlm;v1nnI5+feUoVbBKlLQ`MmiVhJ5`aT%<hs<MQ
zQ(Vn_vRjxu{q35RPy$@@czrKp=P$PP%;cXx+YVM+|7}L5N(C-H{->1WxQI!ni7H75
zQo&AtH=F5(GJL7Gn8|Kl!nWqzsO&AM;jZChTN+Dcc-0#cT5P?7Y5aKLL3ls|@=b>$
zVzQKg!{<1vUR=cn_m90i!b}Hw>OPd=H9VwFe&QT?{SR~En9F<rgdTKygW!ZS9)5kk
zXq;HMfte<8Yk%=#1og8z4SNv*m9I*^SvGB9+bYLORUMf@RC$w|T?+@nw9~1~?7P_O
ztgkI2=U8F&hMSd8g(8T)K9NV)LIs4`Qf8-5?9g1SeVI*N5iTs2i7(60z<|5P+X@mF
zs2e1_DxxUB>El;&j^@(Bc3;=!v<z;DoAAo};iv$K{<q76jp>2e?R=e_JTG)D{O$X=
zE)UAxC5<)Aj4<Z@q22roADn)BRiUF$9!4t<MvQGS0n^m&c%}*gXxw~WaotxQKApe(
zX+nY(g6zNTPkJc?{`O%WTiWuVFC-YVbe0`NY%=eyPl<rGBZKl~5qT)^GS4AXaY0Hh
zt)2ZLaR?YZ+wg}+9&lDhQLd-B!G?xi+j~Y5XcnW-rOL@ek8^iG(<BdkJH?pL;wBA~
zpW5b~?d5^pIZ>xDnGd8pBoFKSk^x0paq7OOdt8z6kXFk@0B%vI@E^M>2dp;TnHHi7
z;C|A!z{N%g{3xVvZ_O0od?s&Q)!u&ey#AxE^bvtOmg$_-5;(ARVtq7{rU(b!!+lMP
z#h|fVoWq+_3923vRLzTVz>*=5d_+hRhFDW`;`vlS?#h$>Gt^3O%OSs$vtJ4_<E*$l
z6^P(-DEpym-rm2`yn07VQwDg*C!VBBkbt|Tpu_ng0eGLsKF`UMg_E8QY@PCC7;y~!
z!ZfQ2zR%y7E6K=1eK$wXF=;heo^bzFWJ`w8wgy?BLIqGL`<(riQ5`J&eJ+fDQ-fzT
zZP$-$;6T$dZ{kp=IvhMZmyz;N1A-pj%L{sghr&Nm5plj6aGD+^k0ok>1gVATpr$h9
z$q!fGY|{X;QSRvbTpb_=Fc-<DsX!OTx4isI1EyOia*qz^K`YhS{IOmFC>+Y5nJ(7=
zF&U4sXVQisY&ZCPXp{&M`GyCZWHi9KFt>v>00Y5np0<=qRcJ$R&&24dgM;zyqbywj
z{9O6d_F^QkFJ+J!StkSKA|30EK4a+S>gS@?CP9s@Vg$863GNzq<)ptcfl1z~_I`O1
z#2!h#+@nqa;s4&>u!}SW|H=iAf={aOljrZfBt1MV&L}syFqr}4*OWV=TSREm5-;iH
zlZRJf)jf$`X7Il5-MnKz0m?q6zp9#-g8N?V8Ju^_px*OC4?aKzc=|6ks7wk&^oOMf
zx=CihwKDvZs#ysV?0GHEUgd$>>c`A4PMU$x{WC$G^Ek+TtM#L%hY_}CzsqOyn?Xj;
zQpLiS0&L%VdG2QUKTL69w5O=d6qeHGgJ4|_nE3W@v;_2F4xz8)Z8S|mVlw;v{skE@
zd+^HHXY?0E2A=8RD@-71^4i4Up1zoU4v!>OS1Gq%_ej5&Gl2-Y{?vp`aY(pzu3C6M
z6*}2_^YZyLV;FY}_PuQ?0un}gcP0C2(Fpe%j}NOch+Prvy4ENFkvtM1P0kER#ro0Y
z>v#a2ZcmrD7kEMGX@LMgBNK{S>@9w<jR6nM<Xmz%7gU;?9SLS(Mj@$R3?5TqAaS*j
zcHW&8mfG*hhTmpJGZGPn(ws&hboSDcm;(b8i&srGzhFlBUdWOKZwM1dIlj_0Q9}V!
z`b)z!W@H(n{Atd{0CHEq(##&%#1hlER-^5hk^a756Qvk^xXji^c{8<yh2+eqUtVKE
z3Fd;_j5T_o)h#t>kvWaEo!r-Q@;(#l$u-_-UDJix#~RN4so$}D&PBg5Z6-8oSseJ*
zSQnx$y}X@0j<BI<rYFLaj41KvprJ*o4z%*Fj&@ErQ{*)}a#u<ik)+J*pPm_QkP(X&
z#|M3*&={SuD7(psjyAgb%~)x}Xjyk>&GFw9VF6|Xd?F*7{zC7nRG|f;x;=!UgR>M5
zU3F2Ld`1*$i5oT$)q*C@@*D?;1xhK;zDSGTjHu^9R@=x;O)$Mr{U*tDnR4b^=}WYq
z37KTY3I3$kg#GD<-gDBdQIhY?ALQ$0LKi&_pO%Qx08-VQNqgoxW&dffBd4!0BQDAC
z*~o2maIKOHY8Tz2T$B9c_REb0%|AKiH5tEm-={(}Om6K^q;rW%xgM;@=GXWqAND<;
z4fsbNx<G~U63MgQlh{z@c8)T2wi@^nkMVx1q(<=!uH1B!>`3A6kr%CGHMl&c`gvrI
z2K^LBU?~pbMCCFp9>X8W@cFB0qlG#hiY=XdfA}sJy7BmMUr+!UbYPSJ-4%K?G(-1c
z>k2n|XYL$Z%|(WaMXEDnlMHAqI($7cl?Q3ny^>ykLjv2r)BPeRn9z3owPQ^6yvRoI
zesx+P37qX){oDR9qoQy_$_^Dj+NXN|`p%xu!D#rfVLB^vp343HpQivaVm8b7{HO||
z`{g=byR)OCzoKhD{T4(<xj%nrIjchFkjdX@OHRZTwlsA!Q5an_=T#HgB*OP=0S5<*
zxX@i5XUU^BqUek?mCVgDB1{;H2$}r1r+a0!H$YPyX@AJ_{S`rkA)(By&1D{>LbAB<
z)>sl5)U;%HI}+i8^3&=leLnP4j4J4CofLAr9^;g^$7|hjA(Mg+`O)!m=fjb|q|tTZ
zcZ6$RM4+3UDW>HSL?bCP=N?MSqR`{sqIQ`?aC8;R*US?_@}|Mp>4W7^2X;6hcbN#=
zZHzunheZ&oDv3SNDUZ%KX9&25tAb9>v|y327@9swn$p%&M4pnpIzPBba9%O_(fF1)
zI(#)*HopRguFgJv#ddKoFCWX832jKCZ{zn24-%A6tSJ7C4<i}Q7Tjd5W0Xb<j#gcd
zi<HrH&yAN1C1mg}6;|XDmqBqk(zy?%38+EYKd&)J4NC8G_Oa^AqR7>ft-R|*l;KRx
zPIFitT6djQm)zvg0g~Hn#(*la9LTpwwATREwCnH8ugIggGa1o=mq<wBz29ra2u%oT
z3mY#jR6yRR*@Qc`Nock>QzEuj3sNh)KW(=tq85_1M~O2T`G;-im+<L;rPreo{eB#J
z_J)Ua_zoG3nlbMazrN>dDTkzYpYe!k-f8PnCK++Abj+UM(1%+~x?<;EDxsmKU}K>$
zGMdokyQGn200+)Y6NSQ+5!V|*zbrvA%C{a7uEQAt-AMh<$E+%-__NK=F9{@6=x3)t
z{v3mzU9nXZs)D%Wa(pjDsUqffkL`>^fFlpA9j)?JP*3bW5$hWS6t<~%S6kT_!X%c?
z7d}!!yHxj?5A9P%qbG3;wzbCaHzcG)>x2r5%{Bgaycvh+uS{H;#+g9D3-4Ut31yTK
zfK!bZR6z7b?_E#Fm_WV|8}(OhWi(<N8bdrPi?T=6@vo~)z(w#)g@~gPIx?E=b~sxK
zrME;C>$jT#pX)^fA4@zMO>_99yC#Yl1CtI_w3>h&k!OV{fI}k8jzMRb1d-Hm3GsKa
z3H%QL0RR6Kmv=bT{};e<jqJVGHLrEAy~jOP_DoXAS4Jd~L{e$eAd*BXWh5bFXMNsA
zc7;%8Rzle`^Vjd+^PKaX=j`*My_w>Y(kzW`8V7|f-r+zC_s`>wT{40tiet5m-cqQ8
z@^VEP6En)>79vlo8NmehY4qK?1hUs@9k|0wi%hGVZ@Z2gLYt|~JnwCB^q;Qg(~rs&
zX!XzZRkuh((2NK?!pJ3t+L-qL+)ZD{9{r-giHI3OGV@JHauG$kxD*=R*f|W0bD!H+
z02FoDGYMu0AqxDVQG)RpW_!iAi(msF7CC9W%p!oCWl6FFvtO`*Qv{8IdNK(5Ixt^I
z<3)No&MCJaWMV>RrazhgF@Q_C0eEFMZsc+NijrC12eO<ibLb480aPdMUsf{XL@ADc
zo3<L7$r^8kHJdH;VcdE+Pw@mh+SClll5glB_j@xu&A6rqTc#`D8py2Z2LYFA&;N<+
z_FVttOr<VJhPqB17Ggp*x<@H@+FHqPWwe5tw{>7kYS!_MH9Z>F>|nWC)Ie6_5{?HW
z9k@sG=nw3mMU9sxj}U3g$;A`@*&4)Z!{Q$$?SUuMh|m0h>dh}PWRHO5zfXT?!5M~E
zUmCKgP>7+n1?}#8Y}%p%Nor`p0@cK`g>?!vcPK9-^=>03l;<>(7q1CVE@8)AsrRwr
z>pxP{%{wvE-zS$TmNh_7vxRCiY6r76eJflR(ubYfCGRgeYrx~%Gxrqzx3K8#$7&1J
zL)d^V%~dC)4h(qeUlO^S7(VK2qfqo1mYf^XML|*rz3O?UeBBLfi9#~=3^s{{t+@Jr
zeW?c4t6yvVc-FBF=p9$u`GqxUhCj*UR)Y=G7Y&%&8g@E9b$Q45H%8OA>3J?r6;9rL
zB0BVN6|?A^Z~B}vkKwD!9B7$UVMjNjv_xtZ+lpHno~ByD#*}lUj>f70?+cald-E%p
z-1;Mn#E;9E`})>LXHFHM35#Bko>{>NdIkH_$*UOWo1=uqXUfpx{?f{teH9}<k33#;
zeH{}fSv&B{C<BG>!B#czRV=aQZZ_Q5#J;}M4{t430=v8S@(xb?^DD8UxSYC$-F)4z
zw{58e-wuhqy?%cUi>1F^o;I?B4P5H%JldcLl>;_n!N=CIa=pB7L8kjyX5q)7x(yNp
zf0_MH=g<b0<F#XV_74S0|L#Akr%HmHli|NEg=}ITLh`gH?5I#zE^&M!ga|eiY2z;S
ze=&ApirI|MIOOxV{Nxa(0NUn3rPp+~v7CGx=BEKP=vkPO|1ow2sF8e>!85UgeK<02
z_*sz-c^b?LXZXoOEJI-M$ErQ7=Z9MiH$OdUpi9nR?T`b<z?s#fUKB{l&r&9m$cSVP
zGIp|Q$U%RlT*${LN_0h^qBuN=8Bv=&b5ngQ3oBBN+d9ouC^<`f`S}bh;&idum6VnR
zovw-_95U3XaL~6tz=j>29JAJ|d?y3$6MJ(%b7_z$-nT>jBL@mJth%uVGVuPoOYWn?
zbZBzwvfij07piQF!LyDLK-FQ8MpK3!E%482lZAOuXMf+jh&TeQ>8D>-A}}I~$XOm$
z93R4dO~0YBB|y=qv{4>sW<*OFyph5wfVQRWf~!Obu-T}cTvEY`SOvQm4IG3}1Bo_S
zfSLf;XkBcs%Ce&?#iot#Yei5G2R{WXB>|Lmc>^y#=0JkB=XW>@@Mt73wUU~j00NSk
z#TKGm$ZYA+$SXc^6yVHzX5EeelIHcRW9{51SU}#z<GBQ4`u3A4Jcj`5aa(n`=e)=w
zQPfsUM+(_X4&&O0GVm<;$E<8TKiZ3$RqtJtMr6EuZ1WEpD5{Ru`!7!rg__$pyVuGf
zy1d<o%T2Pdyf#V0JTHvImL+D5Udo{>8uxu2X64{p^Fz@ea(EOJu6a*CRsoF;o!~Zd
zPyjR8ZvWrs#L!VDj+pgZB$VWEZ&m?Eg31Q#&6myMNbh=agpIBel2nXSzl&1>wV>Bn
zq=F<$B%Ug2QBX$jPkIIfDl5a$>VhbS=TgYyKr`VDiwep&e*4tvfeNV6PiZ-^6Hwm3
zS=yp+DkwrAd!mC^4NgyIafw99AhjbNS3|C<BLBq`W8PoXL4E1>!|Y{Q6shC&wO~~h
z^*hSZvlME=*h8HMO*Zn#Z06=Rjfxt&TtcB0U!)DQH~sH%JWxPhH}l`_$*G~kEBlfb
z9lDSxr|0JMnuso(x-Y5zO%+|C;-HjX(1*(snWqJ!N$CD_w#`?{s>uCbI^v}PV23{A
z>#B<A4i`PCT3ZFh2FD&VqcMc*p9HBm5*5+XvUSYCRV8#ZJwE>aydjiqpFdTYt%xos
z^C^7oBO#$M+%5VFBS=`eQ*g*n5z&krTv2zGM{iypq)a|$3<~y-oTB?l=<4p_zfms;
zi0{Zv-q0>%IN>U&lKz*7>Qe^`+Ug~c7R|4k8UYh<O)VXF>ry~C?{;>xDN$6wD<Xed
z(*!)Ha7})G@+eK#C)*{R4;}UzpInpsCvWLt3Gb9em8W^)G8WlU_jRV#+AU*<;g4@V
z!X|@Wo%XpgH%Et9!BAZNoiS9nU3t2xA&vOMhGTvZwy|__w6&0hF&L-@d?~P(L?g6!
z>t(|xuq(pxJimL4V8=^q_KB}JqUKtlmSgND+l@V-adkF=(CLUKg}Zo^(3Yd=_<DhS
z`ix|va<?JK1}1;7KP!xuIop-qMs1Q$MlD~JvNi-iB`*8l>-?y?>cY40+k0e5FR$J8
zCIAB(DTVYR9`u99dc>}U61-<79!8r0)Fjpi{mJ4)e-`Gx2ioDFEcV=C#TYU$2K4w8
z_OYSKXEC&@deo3rbz>kd*#HVvC;QJwGNE6mdZ`~5QG+<sY+pydK2Y{tyXn|Nhc?bm
z`+0OxgYxgmxRuX(P_2c#SCfcCv6&Wy0sr)88q1ukHg%ytS$0kD&OSDHyzTFtA2m$R
z_tE6Y>%wu3es$A#o7f{}`2a>HYM5H!oh16`fTi8Cu<wIq>})%gT3`ka#6w@Q7UXC{
zss&|*A8{7r+7Un8rHcbCmFX)fYg(XGaMeQK+$hFF!mC^vrUGW1uD!3B7Pxx)+h3;s
zf^~#tYSqV5!M*Nc%9k%Sfr5hA8XCT8F#Rj1$jgZe^z+$$dUiFy#_Mr~ZF@U8&g>fQ
zk1`dovx;7LcTxk?HYel``woy#7X`R2%TmFlR=VkMn>wsB?U3*M7$^U@eaY3sfC^f3
zqXs3k)nUgx+{%(=np|2FwUl#?3J$S!G+5`U!KHc4>B(<@$Wu1u+Ou_3(8cz8gea*7
zd^Uwbo7szGTncuTO%(_8Z|5DeUa3N91h*lfWtpsf$RTH^5eHTG2Wnr4slv+dg$r-H
zSIPci<Ms(*)G#Jr`WE*_1@u#@v)4P<$+<@-#JX&0AhYJH<`*Ru5L|mG@uzK*Jf&!m
z+iy+_V<LY=_iL3wx3{NbqIruvIIBQ~^Q8lGlET<i2W41`d7<9^d565Nu|72N?f}e-
z-Pg*WRsu&H?V9$~9(f=j`kJ8-1AMHg_;%>F5==cmebe|p1-J*KS05~81U0+e6M2$K
z5c=8c?0f+wBvp;d9lp#A3~7s`)&xa(8?sI>{fi3Pq8IOp2C;%y*-sY#X%aXVP7~%;
zs6ji)fv3BJ4Vo+Z?sS=v;6IUPX*N%2z$lWFo_mKKRHA1bbBl;@J%_2>iHi=7C_hgS
zHs=K6p`76^St3{*m=qE(JOCuz`-`87xPUD++rTnk0jBHZLZ<u~V2fSAQpkV@EFD`Y
zZ44FQP-tfVPa7sUo>Lsj{D&8^eG|UeOv*!KI2Z1sGYg!#r`MNW%MU^k&QrLj@?etX
zU$t+-1~yiaiLK>=P;m>)gHOtXLdoFnS_nIMG_r$Hzc73jTJ~Hg%LCb{N3|Q{0G}Rq
zE#Sbz-`)>hW}5PFVU(p?Pm&At*LOz1MhuwkC~iet%EK4@6|<&HZkVF<9PfA`4zKm!
zpLM<}4_dF=xcZEEA?=N4b23g6T0DbYioeRkx#2hYkN5e&wSy+4`l=Mr6&`95cT@n9
z*+<hag94DK7U_ALfdJFW&*Kwz6=46!s~0`rgus~L<|W-XGLSJq*<e3N1mS8rTgw#@
zsP8weowt(%?ZvE|(M1xFlcWT%KEZ>7^hz{wUmk*re;Q4TDM5YP5eMr!F<2-~U~PX#
zgek6+vEn~Ukn%L%!)Q|+nxg#jvmF&db-YYdbWj;SavpVS(2|68|1<&1ASHO6VX)Uf
zuLAK(=3stJ3Q7;@u}c2?|Hw@0*E3|)U^ZK?&ZJoyRHIH^v};m^kdiiz**oeW?0TY#
zmr(|;27f4sH2!B_vSaMcpb6Ou`T<NPvS5EQj8P>?1>V<lw3X#*LDot4<H3G%U@1VK
zNBuzs+zOn`CA@XuV#24P?;-M#6hn*8Pg8;6?D6c2L_N@#@uoj<LILWSE?SgYset`+
zJvODk`rxqG9;v`bgrk(LcWg?O!SIZm{$eE=5<a(m<V+>PLsy>{^h5vVA#JiyrU-x(
zomMA0O@v@5ZMqw)2xlkg=&uAD0{h0@|FoBgkSHEzufL-JW7Fr_rv;3l=?8B7br}(~
zL_bK;@X0~VRRe3u3?p!mvto16B7%^w3+~LWG^BXv)2ALVh6}X#HQXfy$YT;rR&SF4
z-^~g_)4#hjevxft@n65#eisWXe};z&pX#%mKE^-}E3$cLD+fO}3VTZV1mUHUH%q&R
zF}Sb2TAEpr0hx07_83oYFfSmECxbDZCA9D^UnD?Zad~ozCL3%l?O$V|F$N8NhQiTF
zDX?g<^!R8`2j`G=0KU`+Y?r;s&rBqN<vB%8!sZ_NJ4dx^$zdb-<Q%oE|4JN=i5cf)
zjVzIgNmie%ejCEUN5O>FeLOG)-4qvU86vmddmj7wk|AhQwPHWNia^+zbXqm}60G}x
zO3Zm`LtxvhoglRcg0WOnjTPk&jI27HUHJeY{PY2f$Vol`x~}otd^6bTxDbfs1-QI7
z-jqP%0c)$-d)s{rm~_LlF9#2jVfm(U>eyRO2%&IW7ZqK`RH!E>r#uWm8~@iz%7q<v
zMXx=z@>s$2BcDyJMe2h>MfMBjU>4x`_#KD;$1yB(g{#{IdZ4*77Mqa5097{6YXV1C
zu&mr>I;k;T81fb6YZU*N7sWhmBVYw9zq#G;AHOcVO*y~*iIy4)6aF&%EL_GY&ffZR
z!9@p(bFOiX03~?*dGz{L{Sr2+(OAu!sts#=cxTPTUGhkyMZ|8|BG%jOR<}H(1-sUr
zXjtbjdEDLJURiGeW2&X_%h%NciqH8Kf!=H6l8VNGUb;C<`iGG7`XfyUJ2C!qk#3nh
zR$ZR7H9m{&m6d$Eyr2OQhy3Z<<mbtU;<cAQ3`}EX%|j9!_8M?^$ZBGRc7}XBNMl1~
za|(N$Jef!+SBE(|4_njdNix?fWyzC<Ke1wIb<eM2>QLtX!OA*wlss1>9N+z60&Dm$
zgtGae8U$5#T0f2$ARDIG^^rZtG2D8cUk^?VoZdg4aDUQ6{(HW~l-^(ri|=SW-W{$A
z>(mY!w&S14BSX`;7Z#&f@sQy2XKO0(s@rkEdFmtCJXfsr5&aLW`E2D;mJ2H2IM1Bv
z%Ti6YzFl6iGdPT$xA~sJxULKXyXU0Oc;u0Ny$uX-bi<gb{6JIaWo5`df=m}ZBglG^
z)CY)nhA;-w7ZY`AWiXqW8DUmV$A;^yPwN~V!ptJHh@^)~;AhAn>O^0R3EgM(b_yTD
zFsleAOHm~VyJX82E>Vrqxm*%gnjXSZCHGJL^iTu=<I|oJ*7aD1?9%|*v|-HS_-BIj
z0}>qYVsxFeXu_t&^<tbeN3f=pSZh)Z5gxo@zq~2ZhP~rHZlARD11nB1FZ{Nw0D6J7
zh1SELFt>V!Yn_dwn2f<G>OG<YtobWAd}!;$Nc6RG)a7HCK-IhYh_mvLnw`~pGPfJ6
z(ysP<-8qh_Dc7rLm&n0VfKpX|QV({<#)QS6a}uLz2nc4`mxb)m`6-5^J}mB{4oB>b
zpO}Sy_roz;Szuf;p)V--j&TOT<&VO@uy}2%*GU;N(A1uxe0F*Odw=Q(>B#SC%;j+u
zHQz1)CU35%ZJP~aBN7!9g7dT3(c}wZ*2f7@d^+Q)a_<i;AVO0qQf>|tB_F;kRx1sM
zT5>g?SdC$)2iF7Nzh1z)0zUOcNlAkl`<r(~ZR1!;;eX%DRhF=kow~<?@lrsLYtNoK
zGl}i~b@Y<0SjPT4lg9d$QVOn)CP`jUox<{Krej7=tzr&GQrzE#O2T$SSLUkJG*<AT
z|1HjV9W&1uGNxFRfS>~bZ9e9+n6lsGdku$8Y^nYgz9&Ee{>$7-HG1_2^JrV{%zCng
zMQ~(VYcGmJYIt7NHPr=7ZQfRpmwy*~8Yz)%08c=$zj09<E)DBwxKJ-)EV?#_=12B1
zsc;n)Ih;5=Z7RHQCt(>|R?+E6zetI`7v^s=KNbV}E3t#-R;ySyySdno3=Y*^<+sw3
z69Yw6H+~AGbu2r1J*%IN21QT0UZH5h1Fl6~`1Zj~OmaGo0mn~=`1}sg^!ea{#^Ic|
z+~Y0mqZ>_a#YuWJVLJB0lnoE5HCgH1BD>hNsh!2jUyLZ|>(Pn5Yob6IUlzFhXCFJ=
ztB<pL&w{e4y|il<M1YGs!L9QqCGvk{NlqJQLmUr{&P@i1fNA=DMSCqAVm-kn8j{F?
zyqp~a*yu$-`(;$9njj5wDe7Kj4&g$VO-LUuR0sp#uUDsdl<1JIL}6N7BoE5l|D(Ts
zOBiTPJx|YFrbnw<w3`;~e2ByK`U&52!a(CF^NNX@3ANHSyw0!`L`LSBjko{lkEXc4
z6#UGB+GU(fw&+9<@dYKjO`|YuNVRHGFR~%Ul=+1ZxA3U<UUsjvt_b{$nGxT7$${?L
z>E*jgizA)yWoi7&B9QU0t#|hl7xEK}=5(2pKs8pM4e8fJ!C~OVHrEXvbdo9ggnz#j
z$_?n2UC+kD6Mdt*xC%a$^E~s)nOOpoH(X1;93uuLsU4l-VuI*~&9C|v5jo^_@V{F}
z^2I?vAv9I6Rv1l`-+m|<tbpFtk#c7EBq5n?fTGz9k3_~66QagQ2sUEA-25g5%wON(
z9oocDC1phB?LsA_m{2uBw@v_0LAPn}mOz@Pt@u2bmC?(BE6*IR%K^{NSkYl_DU@Mx
zNB1pJ6=`p)Y^mKK!pHS9u`S=Ek^Dew9p4c(#Quu0KK{BAY)F#Qax-O+ePhM7Z|>^I
zy8hTU>81+!>M3;31j`}zTT704IvVJtc2bO2qZ+KPTt9O`M*(GY=YB2d)<9GGc0KKe
znlR?7w%$2QL`78zxv@N&NTETAJ8?l9HtdgGJ`<vdhPmtSpIXyED@o}V1J!!KHQjJH
z(@P1RbZgxc_0T{(pF2fzACaMyrL#6}Rtdf8N?=_%td4%Nw#>%K8G_;dyuv9HWi%AS
zcrU(N6;T+sF}0sJf{ya`fbcWQ=%n?fJ(me(w6vGByZ*=+?9A|XHpi6_(bo1in~oyV
zC3!U9BTT?R*=mo#p^Pp-*}=z}a>&CcOITXo6tYP9W!~{h$gwy6ed)d=vP)6<_ASvA
z)U{c@l~yVu6Xhq-f?1*{XJUKA7&C=OxvBBhe~CzCqH83vmmA$E_u&?KX9_R@?)*#g
zXzly)g5C~#WLfpN{Hm`hET6V;7%Y}W9S0@2Zkn%Rhs1+wt#(X+$<v8T|1bgRT`F?Z
zZT?Qq&$6Ja3pRmGyidCEFG*DQHvC0#_cpoa-Bf^9zcF0dRqSiLB#u021ARKr)4~(U
zPd?|>jiIyPBj+GL9&tsVkeFU!f~bR^KA6TC0aNuawsRSR=t+c~*Y`m-NK%9ong9MJ
zPeORXRR><=H?&p37R3Q4KH~|!HiqE(fg?8Aj1%dKa7uT--~=I-hV75#07(pm^T&8t
zQKRm=(zhmDFg7&8<RJ%O`QVquVZ8&$VY=%3t0XSad_b9pS&^Zn)Ne6*pAz-yewpPg
z;DYy!JFZkt20-2L{!nGfCbl<s;Ld6)7u4MT6@J%WAHHVfw~MjQVdNu>J;oQg;0NBz
zfcdc=L}mT{td`V^&E|SYr2q4qNeZ*nY1M`6cGG{j4>yr_Nikz1Y+P_Qap=uQ23;so
zD$!^&oFv~SiCw!o!3jSd>=|wy(E-vyCkKbpMY84M9TT~FPIye4<?NrY4e4{|+uL8R
zlT)%#z3_WZDBBpnn8~6ILRJOyhc>p!axojv0*g7}Q|%EHdQl6+2!+){z7$a2ZDW6|
zofDq7toS%hYl2u6y--CO72GNlVK~3V2~I41YF+M{u=mNvrlx=z?BkERb{cX)N>%6I
zm!ldWeV`$(=ou|M67?_ENaq4!+I)vN9}PJ9_2WoZzyaW}`o19}#0|Q~etnKwQ~y`@
zlCr-F3{cVVIF+)H8{SZPRouR>4kmj(?%tz}VB5MUN#Vu=&Ve*8&!yEN{B8R^hFE6k
z5PezeD9sB?buYfIwyMG3ZJhEIT~;V~8r3F9&j&8A-rQ)ppaxY^UC}>7+2A(C#^qpI
ze)zQiHp`2k24M<4j4e*=;P9nr*IPsYUWVf%Wye(^T1&|%T$=-?3`tt^_JT00yO?$V
zwJN-FsAM0O<^&(UdGom!LjSm!%Y^m3DmbZzil&Ni!BT?KYY`d|NQ=#R?P#tFIkYy7
z+Tz^s`DR<sfhbW}Xujx1EvpL6yq9JEs{D(`b=P?<4i9n|m)ta$Dk$+ec`Z2bg5$RD
zjc#8t=szr{)61j^B$k0otJnB|Imphd(^?#U%VxbRVONFZqbFojYxrR`Re$5Vjsz&F
zs*XiSs)CQ&!aWT}LCE4vE4ZvI3635ax|#=7LGpp>$wFTtxX$EqZ-^uXXUf%CrY@?&
z)5dbgr@jB~l{@d3bR}tcx{@gHuu>JCEK0~QIEcd4qvEC0ssv!5<~bzKss^;)%e`&>
zcyPZPXG&C;fqU%=;SWRA;EVP}|7RLvP%K7~WT_+z2CIMlPA{p!`O3+fm(=3${-Sr?
zdAuBGo#NmUx~>k{PiVa)d;f8}D678)g*=ShS$$9>t^r*aSZ6r1Bw%-$K$qMq4_*AU
zI(6SQU~_;`Z1sX9bn?fglR_0hC-!T&b($tfQqV2@GLVA(akKZw_7z}Tmff~6Tno%@
z)qF0akcQ&Wg{lW`MDSxBZiw;FhJN|9<AY_=kW9?l$ap}6B=MZS%ELM^eP*ll=?MZz
z#Z|3a-64YXp*BYwdtJD3Sb#-ji2%t#ZJ{A%M3_F-$eU)P2PTc9jp+gZco277p{88{
zyhaR1Bh2;Ta)J8Y=U-%i&Df2pl~Vyi@~Vezbq!#~A--~kQx;ehrW@{v$-`;pCx4IQ
z$&l7}CxTK-7LMsAg_-@8g<YTQ9<gOI9HL(p6VZ_cLHtn9vosk<m!cN@au~pyWD)Pi
zFAK8jD41P>0P+S$<7_hl0w_0F276`T_B+wd;yY3hO7HBnJ^qjT66{~*oRfhgHAJf5
z0STCYnNu{#W(ddLoHF_Tn*cha&-E`#i^KRYv2#g8LvX1z+cUQ$faIx&`tVRZ#7$`Q
z1Zf+>K(mcTVw^Ob5WP(d$QFhMDUTgZbwh}=(7n=+Nr6sN*X^Hi0^nP*dP7>=5Cn?~
z1#bP21g9US53d*U!j}MFavP-~INssi5n7P|3ex$;Do$=Nb1&i??FC@BtFFZFi^Cb|
z`rb&41MVMxxT5h2K<TDq`DZ$DXp}#2=wTTfl!u1Be&PY(AD=$M!Y&5UdmjFemY9KZ
zzbP<J1i*H9i|V)t9%jfIU%TiSfiFCVW+#^n59dz_dU}gModt!~f$ReitXyf;$Vmp7
z^${NNG$FXL+Vxeog%(Uyn0<Ca4d9c(vHw<91R(1zmNn%{1BVCe!(+ecgVFlyW7F>Z
z(4&$3E$A3E)YJDJW7O0K`L18`TC==hB)*j*T#AFBz^&SnCwfrAcY4evo(BS+SyFyJ
ziGw?i8FhCzbRlo@?I(dF+z>?RnQZ2agS^tbFq>n#FhA#F+^EY1YiUUv|J}oZX_oi!
zGfW2tV{JVZ$eeIl_f0s@3JzwgSRc+1bRfk1D|e4O2T<xVQ#^~I25EXvllTN}pl|u}
zYUd?8m?Y^|nc35Tu#;7HKb1CQQK=<VZL`7m+}~!8v}u8MaE)pwL<?edcIFv_*+50y
z+j7H%4rVqKjR<p^kX)CXHAKw@*^0jfCjt+EwqJ=yq^~C2nxl}`c4vh*mKBaqE9jwx
z@=B)uv<9@V^J(Ax#R9Frk*AOdBOFZpBXiMT1BgqD*&kl8fJROif#($y%)WWKeeD1H
z-$OHk<pv9^@@KuTGhhL#^2|=|Tk1gFXU?}5#{%@pUsL+FSRrZ4Iia6h9dO+zW^`Lw
z03H7@P&vy6{@<?+j=WQYMW07MD&<+>e*gdg|Njh^cRbY%6vk!mJ+m*@xYoV){yi?@
zt&~uqrHmFuGAbc5OG1MNB~emopfv8!N{gngj6@_PBP*|e&tK<r&Uw!BeDB2?91!>+
zhOe0qyaHAk!^L9u^__AN<V$IGT1|<gl|1KEIbwwAMu){ZV^M^*h-y1ZOTzok_dbJc
zBOJUzy~Um{iW9O9e;NNt;iS?*Zf$2H)JQzr%&8`Z`Gl=jQm3Wy$+_r})S@BiIzd8T
zD#TFTlO)DAEQ9`&P2*wD43W9|;(>A>aYQAwubkQ<hf6I~kB)dl)QOZdHz-PAKzd%T
zr++!lEar3$xf!DGhw1dbQ3-tZJrxp@q=1Xnhtsy|7$W?>P}Q#{NqFia(H%;7esk(0
zx3D2NO3yyd{UC(}%le2Hyegot6-awC$3Uf`-Is=5X=r|O4v$z+fl+06OvxkzVWzLj
z9`MQH>q<Y<wgpvOpWoa?&NFbVBY*d<6>?xUzHesmsbMbe%~ca|Ly&9qPJGT@js~NY
z7h9Cn@jZYcx6;fI!%yU*^4Jt`VxZ$pr4<#y9ip371{va20;h-kQAG&bjHZZg(?D2C
zMN?v#AyS%{e)>Yn7+@tTL?viK@?PpeXE7tR{R{BAyio;$yABU~-qJ$Kpj!ob%m|(*
zcZ$T(m-_38&!)fC#`9PnVv@%gwx74t-iT0O)_gCqw3i0*Y-v_ufic{ou2ataq2S1Y
z$&lh7I*1Rk++gTwg7KA)AEmXaf$eIfl6s3Sz*=7sLNUb##g)sxJy(b1x&76L3-!>b
z|NZA#b~6;*^UYp$g^J#^EaTiY`siD8+n;ON48Amre(u8>$je_9A5gE4+qzxlHVfvk
zP%m*GcG5(%+3SBCd<JNaRN`cbSt7H}=TAJB7W#KS`<)<YfDxg92yVI+qGg75)9z^D
z_^I6Z{crX0t44L?lAAT+R%$&bY_wslb=cCyQ6E8uqK!78HYl6e&fIoK8!icJwpoPh
zp;SS{N9Kern)t7)U0%?}OiFyT)plLzr9Iw5$s(Y;pMIlOlZMqQW!b?3Iw&yjaB^e<
zi%}7>88jOBA8F5zL}}y0+Y|ApN&tn4-9jClGz5gIHEbs}@xZp+x0TBd9PVFoAC_x_
zX0<uUx0j0K9b<tutL-4$El?6{r;XKzF4x@{Qv;*BbmD5X9ax*`6In%CnDwl4mYGq-
zv!VB1PcPY_Rj)Pj-moU9?CJi!OZVxet+$`Q$PUs@9_pr2ns8dk`Fv)h0)BSKR+Q)3
z;qHZ<2emacuy}P)Ub#gUKj(YR4<y*Z{mb>+gX&Z;vpHw&^Q55EWm)08#SVV%6|IBP
z>JZs_;GKM>I5hU1SUjj@hijLs?uRc^!|^i9?IwDn_?(y7YB30up8ZZq98|^2lex!j
zCj`Ja|6f-1RUlyBcEPMqDq!3{>1S=r3%wERBtZ|L)p0aQAW0cDmCue18gM~3&(f=H
z8DM<dIoS1(BJx+Y?^^wg9ls?mwyyIcz}v>4ILFJQEWFEkRVy3H&6I8(xMd6Jj4K{u
zH|3z0Dt+qOw|_)d*sz%Nyba#!xCGz+C4<`Qd@3Q6^MoAB*67`88$AAWQBT=j8d(8X
zWqV%E5iWJxc7DpWhV^MTxwLjkNS*Ym8e`58=O2aT^8c~IyA=!0{>LRSe&Vh7%2jj3
zm&L&zrIl7FIaF>H>ne_;rrms}-_8+p%nn*=fhA_XT}ZIA6$3Nl(nQF^d7{?8(m0>p
z61q=?_m-^|#gIVXpWHtSMBvs`BHzyf9Cf@?>nDXlEBkuz($Pi2_qN9O`>)NhZR1VB
zvuQ$DzVpgGrvf&3Cy&^U8Ji>JKNE>{+XRsvoAo@pa2b@@E?(Pr%?z9)$%(}~1#tMv
zVf`1??0B!`;%F;vhUY%LDIc%#<KdTc!#>j-_*QE>9+YN^v}CCVN@Dy_I<Se`&z=hk
ze`gs&e5MfS9XFG`%?Iz!)A|<+xe>qi%BWt73F!Sf`blAY7}szR3|8fZZ_>5a??NW{
z{KY-t@Gd^|$nD+o`5_;OU2*Aa&l|%gLc!7HI3GIg{#5Jl5WrNQ#G4aTW6*EQ<le03
z!=ClB1OMp=fwR0gtoo4=*j8$5r84*-=*g4iC@z8w!?AX?bw&s`h$^wD;zuLDT~6&u
zQ5Y@$8yy@mgn3s;#kz0-G_<bG?zk$3iQi|Rdu1BJsAHYtBUeG3&uV49e<hC63*$4j
zR)#pmA(eE|RS2Fn3!U=ZlDKpJe$|Pe44mV>!m~eI7{|p09PK=%z!!M;j8Z-WUpsvY
z`l?0Xs`@yuwn`e5nc4$vJ`C`tE4znY6h+JG51y(HvN$0fr1gr*z|;KTNA<hK!1jKs
z=UKNL<}I@yYfjMdkzcb$#6=vA)AGrk+42xnzTDRLhK@&u?D>BkB~Z=VQj{E|2$_XW
z_wTpq5ECotH(oD^yiuK~m~F}k3RASwy-3H4onLK3k4T|1eOFgXg$kZY|G3t9hK|}X
zQqujgG~^-=-sWml1&2@9dCN<5$gfZ+-5??h;X|G)pNv!R;Bxlo;`?+gXS9TTJSvAZ
za&sD_x;iHI?0;F>Mn{6B)5}&)c_b<{)m+>`h4)?ug(2~!`OtGtQwkJN{x=~;yI2Fy
zzR@PRm*&8;{b2PUZzY&S{t1fwtBF>M#_Y3d2F%O)?Eguq;ApMxpW^?t5xGfJ?uoS_
zWcbpqU*uFp;ojWl)@&L+9!?ZVez#Poy$bAI^2-g{_wP=3>7ZgbX*?*(2&?~%S@kVY
zkbgI$xlu+B1IEGuYaNUs`s=T^8oN5~d@HkBFw+Oma!2+kO%qtmb?;5!p`x6##Yfi6
z09HG)&PG#B@%`89)>Zr(;C$WM9>zt-&3;PCptTt~{JlR(a%<w_1AXd#4>}w!WuMg8
zYmSbbP2UG5HF2w`>n-BxFno}h?pk7jbs05{uAj9K(|U5JS{fadyQhz;%vmn&H!(By
zqBeGjazbk#9oFk4vnE}wq2jrT_lYA7!YjB{i`3}YH-Em8t<VM<BmGh~4KzIPUY+RV
zWq?&{yvNV|wng^`Ik8Dy9e7-b&@q+N$B9+b5gt;2_PP|K8$LQvjbVGfE?O5AO<k9D
z3V;RYeIjf8b@1h@w!p+y8oZ{tV*XRLg8{|P-pxV>yr0MHgwwRJvF?1}rW89|FRLtk
z)=7iGG2wc1R}Coc+AF!N-40^w9Qv`2hNJuUXCGcrgNnU`_qZ4n*B*ULQM#awUot&u
z<Atht&Rn&fm%)U8{)PUjCt9Gys(DkMDB(ax?t5)>COqp>jz&GzM3<hbi>%LbSkFDv
zQPyU{#%X9uE?)yBmZS479?}?Rx6Rnd&4h$;Kyy|o6&aV->X+XT2Z!&!Lq#9$&{p@<
z_^z2czWseL<oiw-v2H)t^JmzB>&RkR-vkByDnAa{>+m5olJ828gB^ZtO*d1&rwZ|R
z^RqX7Inm{`K|W;^ICb>zSaFC7P8S9~ciqnh3X4a*?hMe7Xf@OvrUb3%b25d|v&5I{
z{XKf7z-DjFdVW;}6eontpNyL%4z;<}_Y@OYpkCRVH6#aJuFtw0)xQb1q1+v{1GZ>;
zap=<NW*In*`d0F3jS!ySg_a3Ym+A#K&FcrGP~n<%yY1=_!TeC>Y2jxBTjwm3cgm7j
z;lQ@|py&soym9@8t%cU$;-}5n$B08Oad5Th^Z=3Cw(FM3uocpC7rXv&iQ!_g{I&4)
zKZwFRyRVy>T0vwPZ;D)i2-?QXealV{5|)2=Ji2w<5{^BLpk#g_P-m{Kz7hSCaA`eX
zQr=<##r227Cnxz~dtLAHqxoM%cuH`ozkvl(Q=T+DQ0GITX}Zsah%w^O)#k_LC(Q9<
zG4XeMCJ!E*Lib9Qabm*1wlsIx40nP|3-?=dV_v2Dr_b0Q!tkV3yO5h1G><f799QIm
z^uYiVo!&`etK_SZ@h7J6f0=yR-H;RA)SK@Xe@_!@Rgan3&`iOM+VRmff&+nX`j3w(
z&Jup<Tjsu8GQqTG$P4p9b{tkWi%9mLC+`21k9Z|vg4!qLwQ>pUh|DsP&3g5ZP}(DT
za{81poUPkkyq(#h^)^Xh>N*=TPHu7X6E?>2oK=^f(%BJ1X=u1Ly$t^R-Cm-ZM#zn(
z8u(bVBi2cGp>z`msxl(8mMu4e(LbrGs@?3!i71<;eCC9$SKdDRLPNBlP_?P7V8;XF
zzs`Za-00!>Rz6^Ah=T`H`=h8FNLjI`%36>Y)P0F=JZ~8YZip5<dw<Da4@PIkf8fJE
z#{;G{{tTSoY8Lu!D<{UP+hg~X3m|i=&Iw0O2IT*q&AdqCLi93$?sd<FAXVzeS5rg>
z<Hwapkmg1TpV;lU!y=d+?Kl(VN{2Y#h|o0(56JLk5{(ow@R*)7k6SQ+VpGQMPFG&g
z<`u=)2Z*C1t|O((-vEWh4ewXy^I@Ie)l#+^38?q-yq{>-N2*8T-gB}7$gfiK=&_W-
zdx`CD-*3@JjDFU&>@q=w9OM7S|6UrbPx}fVjOszT?E~kYBf@Ye6L+Q_mqo<N@n2Gz
zdSGs7G14*>Mfln6Jf7amA?e#`RJuYBduV^RY;s)UwdO+}4(<v#aE3!HUPKRfkNUNz
z2Z}?m$?IcRuo9}KeB8Q5bm5nCz=;301XSd09_o3kfci+IC1^kww7d=7+`Lk-QX1B$
zr>mkg<!gxPye@28JsNIBOM|!{Y`MRMf=`F;zbl~Y;Z}?0!laliR34Y_-)XqSQ(AFc
zsmXfKN{Ua+ua-j$_rU4NTq<7Ndiz6`S07G8&yB@1<gukm|BH^iChoEp8`>Y}<9Gr~
zUvr7Gg7xD*s}^YCLQQaK&S?WA9F}obNL0pG+qNl|2@QgpN0f8d(NT~%$gk6+f&|&i
zk*TkBus}IG?ev$9?DbA-&i_$GRY}x`{hRc##<-{;`Z)s^n}W%$3Tn{umD-!%r4O~`
z%m-pi_a;(3C-8o?I@kn@OYAl1NIv%GnQo~ObTt06_dP~k%Kh>9_L`2zk>%?JzZm1m
z>D^g{Wg58WVIx+zfdRo~X_dt~rg%8mc;BRNDgXO@x^Z;LkC8=0?aeWRRWa4Gid!38
zt6yiwaT|jD{sq1dsur-bqR8n=(~us>?^Y^rh^;i2?v>9iA#wMjauvT0E?hG{HL}FL
zY`MS9^#ZIBvpc3Wu~P>fi!SEhmvU03-=JEruq_HFBH2sgbs_OUhVzy%1Ew#cOShH~
zXn#<3m3KxLEjPM%yMm7YYNAa>vX{8P{|KYVR1cDkq1x*r^&zI)Q|9-d9adaYv|3@V
zhX*I>E(S~JVuj=cG1y~=p^fXx$vItINU=N}7oZJ8zc9J6Eli~EtY^9$(_Qk{8&(4;
z8c1^TNZwb;MA3%!oRl{@_+31)yzaajYVf;CY>El<%T5VvyJ+ZHMV)<nQw6)n&-vSl
z+2hH`nT=jG+OYVsJ<<1$JXSAD|1v6M52E;>W=)J1+*4zj76H<D$rl*oFuLS}`b?X{
zikirE;kG(?UJR+p`SbM0Ogt$V$SS!`MSu24T<;BjSbS7D!x_v($*WyQomAD){POhG
z)Ri1i_ODPElx0H1B=A~#HU+{{E!umuW{Dv)$&=1yc6d7a!mveL6+Fe+90&SFiJ5!1
z@7S)gL(mQHg9W<EOaI2K%}KtCAoLybx;mG5v&*hPz*PZ$<CB%t>2jhVg645NaB2N>
zA$xMp%Yk2a_DxFkYnJ!FT$hn)0x}lW*PD4|u<sU6#j?hB))8w*NdY+mHxgYVHWf)?
zPis}O$j=@Y>CjU}v$e%-B|jIbFmcT7jS%oS*T*Us-Sc1AE*pf{G&ZCk5XC-W@7QPc
z-&xI9cu$|pw#HL~0|Vi<LQp=n!nFFscb3}B>DcZ@D^Qw!sayW=A$CHO`@n1;OLu2N
zd4PZwnuHpfpDl7D)~l$38ug8JoN;PWVvQx7(ucJRm;UFVQ~6kOVh<~YG*GWRXMxh8
zlac57+0i}fDx4ehl{J(qQla?W9J-H^-kzCTB!-?ARQ8={V=0e?#V(keFLB}#qnCd3
zMCrad%TL=rvxW|TtCq<$!v>MPXKfv4h#_PCfaO+=EScQp4tiszXj@4(H)Tu_+x4Sg
z_Egre#9|C**xgMbtM28<h6$o)Rq5J;totmrU!heyDovn0c-OtxahwQ_;M8hg7fEd8
zk4uu*Fv03a^*{VBj1hMqU1;TUEF;wSr0^^|XABOGk-(#SMu?o)M`*RJCCox!`~T!K
z#+$tnUcVHFiSjcwn{HfcAf~HK?w21kf}||<e6`&W;c)GM#^R1o#At}YUgm-!zNrhO
z8^8WRoDj4%^XzLODk^07L!t~pu@BikT{5sVht`T`-kk)cQ!h_*k%7hyNvfJX{e-WS
ziha}0ZeqrR8sn0{z{4&1#~9oCiI)d;4?QXDC5U?;*xxScxJJ@ck)_g4Y-ff&IXBuz
zFcj=OPc8AtL|*iY%S-hbJAXEF=K;d?x{lv59Xeuid^v7<_Y<6|4zXqBgTxMYHGj>c
z2FS|$S@z^jKangKHM`qxn8+y6`?=?)J|0tq>T^N{h?aD&>c1l+1V@aB`n?W4483wq
z`?m52@uv4qAMM*1aUit*K#znTo_kwm@@^a?)?5%z+O>0>cy;`S+Q2$p%z9)y+ngIB
zN{UoN#d#-)*T1;i@150w`}W-yp?t%H(1J>U{i{jhVCyR-(<S{g>JJpS-~UDIfsMhI
zyVFDzZL8!yeHvnK8lJGu8YOr-9cU7)86tCpbAxxhHWrgS1+TP>5t@~3m%<k2i1|?}
zKgU-s+;qM`li(UB`cD38S=j%N*!bImamZE+Ulco%%{~4Qbiz2*<rEvd)TL}%3pDY@
z<m60g{R9!|6Z^f3lO1wiKmIw1X`-;blQ_0xig?%btkNux18e;37yiX-;P&qcP8qGg
z#OKluhQ@X-_;9>h;kZDBd-Iq4H43xD`mRF-AJ_08wU5#sag>UW%Z^_=WIs>%iaeSn
z1DAAmN{$rdqT*J2W}ScjKVnzCoOKIJ0EcS!&741@4gt9|HN!kM98df7X1j|p1QkVh
ze$Z8i#nUUNZV0nO!k+p%HBA)Dk1lV$*r<j#TV3D1&F26jAD>Q=5yz^<T|q)e)L>R)
zIj^#f3!`QpH~Q-(FyN=2aL7mvr)Ml34?6LHv+!A;c)k=Y-B0;M%}}svsA9Hv8z078
zC4;kX%AmS>u$1>51;#7ORX&#pz-@u~U9wjWUOpwXh;j;Ice0NDF%(Ae2LJQQYZVaC
z?5CD}p8~TpvfHzch@vKZG+uK;38B7QMeAQs;Ah?R&t_2!oL_DZsSc@NZ^OUf#VHD|
zR-8G-QzU_hMWL5xA}NsJb+aCKQo}pj#CIWKQlPfQ_3qGA$8q5>+vO}ZeAN4x+!82*
zb+wnB!Y8Q+N~`R8yF(qnB(Cc_r^_MjvD=FEy_&e5(j0GZNk#MK_J<q4%EOfHyZeWq
z+Gy<<Up()k0f)l(&fQDA+^~o3Gn=q3Zl#8wFS)+NneBelUU4djkP+Hc!_<dzepbQc
zDs4QxlH{-SOBJEtE*f86^3BAA9|N*0b)a!M)|NX^4KeSHSy#3)z%_kHWBpA%B)5rn
z=+CReMEjjiRHz|XQaxoK&FM(md$`;wM+3>ecNT5JjBtFp;OAAJ8E_M(?Q*x#Lg@I@
zFS8qs@slmZez?d84o1Ub;oaI$YZLU55jMf^$6dU&_e`)-x#joQNF5lE^<zJiP0(Av
z&zQNy1qD5A!Cz)|G4xH+`_p3+9JZI=bHv3G&YYG8hF<#k$X)U3T9ygcUpVr$?u9j|
zi_D!j5)2UTdrmi8&;%wH3e4{g1is&ol~`En*PPfSc2wCIpSE>p9ccxgr@G)!G94bN
zuCi&3hA@fWwN`e<4rYC%L(45XJiRYo7^W~_p0}n~{Vx+on9agF^XRzuEtyB#TOZCl
zeq<`Vv4>Zor19PDbmYj08>Mj5Fme1}llLA6IGVM|t{pId#cP30X3<n^zM7Ep_k#n1
zL!%g;_w<+UNo{1~qzd|OT7*clJEBM7P?x)|9{Aet?!0U&2L_*>){%b>SUuAbsT-h!
z4NTKaQdbOh<MiBj4Gzd?SmTwkPaAP=b#H~ZI8pT{rz0@Z0oo(hJ8rJm#8~?M(}!=3
z5NB0Y66|>#(AsqG*cgopw!R&|R%tb{7&1e<`{V49vFp*M&GQuWFm*Ra&rGt0-1wDy
z$C;RJn9cdHls^}Ct@2!+xQu)_v31&aDHp}sYX5q9Oc7eQTBC;}xyj6$$DHc*b|^UK
zD_)W!hrH%%D#POZ<f=MOm1rY7M01EOMm9*H@3vk|O@<(O#w{)LdI3P+Z|s}uE{?E&
zFWKk@!em&2;OAa>pyZ*ZE5EHU%tenZ|EMHFD%9nhUNIuz<-0a|)Q1;i9*wjWX(D8P
z$A%^a8(VD4F;46f<bY>5qe}dW2-yenZ@0S*)|{Fvo{g9%^m4A&%7=@PsXv)dOe3r@
z@K;!+`0XEJChGBZFD(&r``Ws@R)tn*IiQ>B!T*C$zxS%3__Z+kX~U))Y~7aFmo%X(
zWb&C9D>|!H5GYLk5G(w3S<Mm!qK*lMi}zWz#z#xnFBc|fn}zv_U<<f<5pORjcCgA@
zmY<sH6e35ZcvxC>=6Fc;6jQi3z_Lx$XGT2{BArLZsZUhRVbfbRE52cj^=-xIqTEvb
zU076PNP-zY6kY1Q5IVsc^LjzQ)g?rJ?F&ll9yNulvs7)N*<V(Lnb8&jU14%~pK#Sf
zA5%yLur4IrpJOF2`cG}i7bY+A4zupIm|)6W2p)g_v0C?R+2HITLJEJ?KU(Nvg1F^e
z7dSYVk%94BxK8tllFNcbqhnf(LH`|a{aG|S>3rct4o|WuSuJ6o&hS~%@zV=|b)y{Q
zuKK5DvPxp)rf`no>JcNv4P`#b+{{I)8?Sw}?yVSk&Ah4EIo=2!J2-b4zvd==B@T0}
z$r2|o?|Gg#plAfcK$mNqZFtF19h27&LnTQ2{U5|WJvT(@>g8pDm3-vO2Y2Ue_DPZ@
zNfTHbV2B4vgZE+_1<1CbjOV5CQsl2|YfJA*8sfOUctdEfAjz%Rwzm7BG<oIi{L3A$
z8PJa``T6^dFu5o=V^GL0OTOAVf37Qu0nX&oQx<ellE3IpNL!E`IT{zwdg8*sbgf>4
zs=63ST1I_fPA?}}dGoo~6c{)ikPuX*DNf#I9aBonQy}}?#=^Ev(ouPTUh}lI1R2h*
z6v)`AM6Qq?IrhGlj<cT<WQKet$=BNUCI*@+r23)PALi@n*ge(T$(JWZ+BdGD1kqH<
zS0yQ#+_iL^lv=OFHY!bSb{#SvwWg3ZrWcPe8tJ$+r?d8khb(z%c;D`+Eo!84R{Hnu
z0XkMrwPfYImm@!2317SRq&m5<?8Vd>aRw3(ZTcwbD^Jc8cbS^Lpptnm#|*x&W#E#Y
z*On0hMN&hP)@077N$x#3e>CDM17G>Ocn-c+BGWb<%#?Q1B8ywf2FG~~ak|*=W6>HF
z^0`<`_|;3=<ZbJ&&fz3OM7O;3HnLMC|1Kup&HqLtDQ=$H@0E@4?ijgdvlWF*2zc@K
zg^DhzQo331*#{%+YQ9maWTi$bR@21Kuht`3hEhDfxyF$3R&nUFQ6~@I+2D}4Ri7*s
z(7*99!35GLn(PjNN_v^@nUrxcATJ63{^F8k3Y*DBEnY%{G@7i9lH{S2MdI5QrLLNx
zbMk<al8Gki5XClrXBC|cxY}Dyyf;T;NP5x}MJ-Y_QORfXemcoB9Tc1;Y6*8QpJkzc
zv`E=PpQks1=%nD6{O89uTcL8buU>YkHpw59yI<U%PL3R@K4o%yi7z<g1fti{$g2NV
zsr0uSklG_6EiY$nAf)QMrTR6E{ClJ{vZ7U=G{4g;m}gBOTc~>3RYe{0gtNhwTXA}1
zt;F2(F=OEOIk$Ev2OW~%HLK=Nmk!yz?PNCJGaycW){<haLvnU-=@-pulYG}>Tbc~*
zka7J=fjFlQx!xy8LbXqmj9Fi%>y~AQ!JLYj%u6&f<NhrNj$$f##p1F2flfPktcdk0
z=b@3l8e4WQY*iy$s;IkdgqYA-Bi14CpEl{L#{3s2sY<>KJRbdl%0#H+!F+#zEmGaP
zai4jaB57NnE#$1pMEi!kjVE?!l6}KMpMD;dBd3C=GLt2kaF8C;?OCBg{vgM>PGw7x
z1m9jIp<i~8HJ+9flB1I2pI16iB*n?!qBRNE%Iz?Hi}zN3ml~-QvNxn*T!`E)@Qm9i
z)DELDOx4aS6f*9t1N-lDyySw?G4_*GJA728clqv6CFL%wq@{~-lK%q$0RR6KSa&$q
z?;ExE-b7@-#`}7`_WImrktCIwl1)ho$v34?Mx{_miHfYulrs7}A+xfHvXYTe_8vdK
zf1m5Q&UN3<eXet#^DHmxzcpzE80n1sOCm_17V!ssC+(@w1rOqZmq7qdXX<bLoEJm+
zHNW>tzhB4WPU+Sq3IcdjON;Hi-h*f!CoC86E#v;-k>ghW80epNW!Q)kM*8%zNB=yV
z$H~`PFQ^w7Kx9=|U&3`k#7AM$ks{6F3Ef|}s%G@zYC^dvyx>P_S~dqB8O-1YGvv3H
zBz*{MXu9L_hZi06zM60%c?!qOZ;lLH)Pv7swW1z&JV=LN&Eldog?ryrP}o<g3lbIn
z$vabANYJ)+#HwZrKX`*_;|7y1*aTnoO|j%eYNwU+dX;BzkM9bjW)3<~IZhkB#>|dv
zwX@!wH~EKWoWK1hzCatqulI-!v9Y4tt5IDp3$u9W@mm?bOxn;jkQG{Vgc<#_wr7k9
zo5w@%h)MN$Y5{lB)Zdg&Ms(ry_@U1li};oDJ;7fZH6f3uM5*>Z0~(VJ=|qCd_`unv
zPJOZ_s3#`3xkb^VDskO<&poU7atEuKSgHo3x$I^6nMa3qGRck!2J5&+<Bb$&b`5ag
z@^fsarbF>Fr={z!ZQ?;{-OUTv)geDtFH$&?7Kw>`_n9Bq#zUhkW_#AvfLedgIVu%e
zlt5jOol-!BP8C?s(}$=*%C)v0ZdzJYe#ri-(>67-7C$3#b&Ueu4K8<dHfT^;`7*De
z3oXhvpRX{zMuA`VCktx?Xwi2bdLxx?IwX{B745}Lff43M2{y-Q(VjgadhV_aXp6hy
z{Nf{3h&efaf4qbig+j#%H%2B@#Q*akouVq7dpN27lT3%o^+dm})H5Sbr`Fnc)nsU_
z3;!|HN{8<9#d#32Sdp*!=K!@+WY8<xU|)}?N2*=k|7m5jBR-r*x`>Jl>B;HYVg9@C
z8P(1H_!}qsG7{tNouvYB>SP_~c}66DT(E1IgBw}?-D8?_R0Wt9#skw5m{73r>1?V)
zJm^E4)R}MeDqvn-#Nqax88Hpy*PMFEizHnddt<MV;2iGA)@j6wTrCvZ`S|#ehR2s}
zi47urm@#M0?O;QpM_&m^KNmm;WA6V=h$h0c!~L|*+Z<?e_3f=VOCeP2+e@*KCBm|y
zZM(J>7kasQ-d$Zt1Z728o|)-VhWd>4WKZBm@~f*UWAvgZiYw!X*JEXP6<6dU;lhI!
zqDyk*1oxt$jC|F(0A)Dd`v{&S^CG#6doCx+N+2$>?IxdxGMMb7Ow&#Ap<u4n`{u{?
zp``b@svmamH#gl~54IOT|D+W)-z7;R4Hdm@$+TS@zZW+~hXqk>#N!tp<5K9%G{tRo
zMj0%Z=6sl=g;8w7(&V9oGRXhVlAOL95f<AfvP}=}K{4U38?QdfBL9n`pAOKH;I!7|
zm79uU$Z;XWpvpiVwPdD8mb8<ALHqU%F?n%hxKwM4>Iq2Q@Lqt>85IaWb<U|FO#*q8
zQKIi1Q$(e24{)k6lOb$)eezw|K6LZzUvm6_5(;f{a%uleh8)htaOOTqbgfQzIK-KV
zPE7YD;xANzDYa=pk4_qKP8BX5sVAWwj^zE6=M)Gf`qj`-WRNsJd%RY(3aS=~E{Of4
z2A?$;V~DP@NQHCxcppC*nKMLstkY;fQ)7l{-fcM~dvpHXr6@8gEtV5CaMOe{^)tuA
zU(2J5Nv?OATgb>LsIm3%fEI|hUGw}?PC(*0lxII?$jD1-_$TF@4$RSBb-Y=mfO7fl
zW$*QpQ4^ur`45X8^nIznkr}0khCBl5obQrRm;@c%&D96z_%Fw^RFx3_?CaqfW-{8t
zS3_HEh=KdD=K;Y*N=P;%dm-0S1(7B`HA%YyT*~1aW?oZ5t%KIC@})#nv3!qViN_E|
zzLnaHFe)R?h#$|wFDRiXcR5mVz9HnENm~x-Q$ohWXZ;v{6A*#jJ*-IC2;9wV4*hpt
z2{klJ2V9brLp<wcl3DRaFs(0^JJqa+f~JVxpG>9EL~AkaXqypy{xik2Gpm3aTkb`U
zdhSEr=N4t%7mYxbo@%3Ylz`Yd4XWp~#n4|P$Jeh`jiAbhsbH>H9=#_nFYvDjA|Bs1
zZ@*z9@ac4`8E}?E?_T>3ffO$y|ItpgEir;(mRqZr=4DW6slSG9COf(tTQCyjZv;h^
z!*8#KNFxq8=lV2p285sYbX*cOf=jd7!HTPrD7iV$I6QC%@7Z=@Z2V{l^z7&72SWCt
zJhzaH+us-Qz(<nTLhTJ9?b@vavs4mjPN#Lp{q_W2+E8E4Is<U9RPci0E^nWQee8Zk
z?8f(xxi-&S1sF)~ep44Df>7QBL!s1D+>l|O!oUSkX%KY1bX*XTBz%@R6q~T>^t+P(
z8Dl_@3fHEO;z!Q4^8C)aJs5}ozfl=q0~psV6c)1PMb-ok$tySdv15_ET`mvwL8jiJ
zY{;A&S({ucPC7P(C0gF0-}<Zv$?TDlcE33gH*<ibaNZD>t#>!mcT*R#o&J9M7|)6@
zBBz=j+Ym-WrD@Wor3+CV_ZEG2b!?2VH2c%5AM=g2P|*2L2iUI0G<1*Cql!0d*3?<O
z*s0hW^UF2bP&6`f?N=-<N~*J)xFpks4Gi=pp61pDE#<rEoWaz{_EbT)m}DzfbVB#>
z2X`%qr+-`U-~JuEvb`vLAmuY=m{?(HTBQj|gM3DLqMP{Q_V=<;;#+Kb_FQJ8h$h(k
z{`lJNvWB0(>wLscI{+8|=Uc%MrU4h$yU#vhUcs9hTBrv@%kaZ(CwhlQ)S*W!89T<l
zgxf5gQUBUihtrXb2DuKa!{M-56DGF>{5RDIS$?7ww||kQ9r#fVhVRJM#?s8=?`J!l
zGLLuT)kaxQf0Na~`s9rFmEW`Y`J}E^&UZiXw+Z1du^bAJ(qO=XW)}a=^_moLYX~<L
zO7r%VrU0D`Q@j1^zxZRB%HBVe5uC1*U0VO8D!l8P3?sjr!HeQJtYt?>@i#wtdvaw|
z!8Ju)JzRJO-x*|hdOv*vPqf=$dYnfF$){&ZXj-Om(fbX0@@J>;u{XCLE~t^=s7v=P
zymcD4E)Mc=v-*p(|9p^?{YeEhxro&ByEtr)E>r?pvv|=d3)Ac)Du6Hba;?0Y!Ecs#
zNBe5e<6-k>b~T9vHe*p8x<P+&Q|UQzj$aFS%uT=EtYspwhfT5(BmUvF`RD2dGnep0
z*XDs90udf>2cH-8p2d@n(Z2n0a|Ks7>a?|TQ--s-nQO+xIXq*rkT4&&hV!3n37~(e
z1c`^pH;Vb@@oVQJTCfircw8)%-}ZzeOhp?oyNWL0DYxXEcX+q))|mKIBXvbc9MavY
zHe1AfE?7&BSyQ1ysVptOZz;e-OWE4j50-GM#eQMCQfhSeQAj_{FabVp@%g*4uHYTN
z^^+1bX^~LO#r%38z{Ej=Tgkbr_}5I^36TLhWb@-moL`nakd8k1=@-0?t9eFEm*+8{
zuBX2k4f*Ba3(ZN5%K@8s@wIooaT!cV+rQW?BUTQ4(yA&NUTotIB=N`VUsw>slP~$a
zOma~BPwMYN6cw5+ljHnCU`Jwgow<a&vQU^`r4i6ejaG`ITEr12TKvx@KT}K=B!x*|
za;#{Pi`*;i_ZHm9jJ7KxpiBmA+2$DYCg_mhZA;^Z9v);}x&Kwc2^n}Cd)Du3E(3bW
z=4g8)mJj_N(fab1Lk5D9cLocSnGkpGsRvOW0w^+dh)1bK8rEGESv23VpzZst*z2=G
zsDhTYjU`<gSYcQyhLIgb;pUs1FGbKX&yzBR5z;VtGKGQRJ|~Kp=Q=RTDu#$O`bv{m
zq(N_QvtX(sH_{M|yf2$8jyivzf5a0n4T_gIFMAa7p!ybtr)1cNs9BPE1V2hc6=z+y
zk}V%{i5;ZI8YGd~MQ5LTyLHw`S`{fv3ZT7@j9%sWNuyIqffa30GO!%wQgNPN2nlJ_
z1(H-`(O^oI#3Df!{9n?GXOl&c{Mnp+Q5^E<tJmwvUTQgLw%nhxb4e6U$02S31_g9~
z(p*t`cV3=<wyFjv_9B*A8OkFbC6v4x;KqBF0G`a>UE4lMAQ9>$na9dRlxD7e%7Rl7
z1_Gmv#iS%rSLv4lCOH+v|Gucgn^76sMa`_;A4;JHdRgfu3K<pY^D_pVAOVk1x!Xe_
z8Dy4}9M!I_ia!24xc(mt843%&MI6YKMG<#yc!)?*kZvBsqw6WEkUF>bQn-dZN)%9i
zlr&30-(>6zTu!P1W8;5j@wEhW#Z2r+-hDOH&^Bujc~k>z>S39|OcD8OF01mcsUfW2
z<G{*AEy%Z~g!dLIq398@zjeau==BI&(6_fbka}0jyI@HfnJ8-OxKF5|!(w$h(=7Vn
zSH@a<iG_s3O*)D{oKQmnD}gL#r!g4AU7gK_Nr;1Ihs*9F1s%}6JT%b;kTw4Aft;oa
zV)*Pv(@a!FB_{)aat#>5m5&_xG{;m>*{9wO&14l+zRyF_w8;oAn2!D8G*Lm!a4B#z
zOc_Z#pHw%vV+=~1ACC|jRFF#*cSOfI0!kt86Feee0$PERBK;a9)H$PkN|r2xhJDns
zq{B^s`bW(o9S0GGS}MORU64TRsa+q&Uz<R`_<wsxo+zO!XA5*@J_(~7Yx@h-xh5c3
zaeBgFMga*#9X(T{!GlVp>mqE!cJU{A*n_wTh|ZM`Y0WSoe$oQ@7|{gI+!Khg;gdry
zjV1%v1DA2u9FzFvT4Q)^`74E&Q3h!>RJaqI>+sOGl}t+qjNwI<hH=`GBr@8(a9Tci
z5(`|c<W>G;1f!P}7@4Ld5G9)a)4{PdY*kwA-C>Fm+<PG#|8z(Ug~&AeWi?YnRtINE
z!%IU5<p8?kU7syb__=q`nI3GHYD`-A4M8f9ha?j%fWrG(>D`AJ!Q<AgnD{t=EB}W6
zS*Y`(QaWPHcq}u>-deUk$pGLG+SeH*#f9{VYCZz7ERa91I@rgKL4+$Xb7!$2r7e!E
z1SVFnj@BkEi5LJ|$KIHgXnIr>QSDzzV1>lgQm$!=K9JdhCJM)?P(Z`y#WfaI(8XGK
z4DIzm-L2_CaL5{dVeE&OSuG1NW{R~K-O`1;loOPI%{knCy`_K1n*|K`#;zzL9eBv3
zJ^JPT7+zyjH%-mN0>>uOw$*5Kpm!|A<CH=dzF9J$9h1)tq1xIanU>msvNCcx`!8St
zcXf@PxH7{H?;lc~&$M8%C(U2-Y6n&wQ=+a!WCk_y)Jf8+Ce(gn(0+0H7xwR|tN$f_
zW*B_HVyb7a2`RBf=K_e6Sms(+lDjA~lpAK~Bz)9>-)X08^<U0ngE`Mcews2v^j=En
zfPw~87pl@5|6ahP(_EC<lbAutac{!lQ*{Xblri^UVi_y-THScHTYo91w7NT=I{a$-
zz~W!EhH0?Q=rCroK+WOaGV}XtQ0h28LgT-Q1@oClo$_UcR!^nDP+m1qs`$$DfN2Md
z6uLp*;lKt=!v?JXQYc_#-sG^qi3-MytsdP8WQQ6%jp`gZ3JlVtBL_KXpuE(~sjGqm
zDjct*lz&hKljj{WUB_sl2P?<pgt&mqlJAE85mop@$H21Z1s#|&Q+uvXazS9>eix^|
zWax0RJT0(J57&#e<b}JrA;T0n58fxkj|82hyDp4y_4x(mxjr6v$WfMOqeBM!b*e_m
zUMBFVi|u*3&I|ei`r3_uR3L<FS=+{o1(baqPg-g41CiVRu~51S<dwRO-r!&Z&7xZ6
z1MvdjYGlxXJF5VVm%lkfJ3F-UWao7<2*GZ;&p0ln0{^0i+V;HVgeE5ENu6iH(B`LG
zATUCLzffix($59r^Xz$rwtL`4d(yR22_%qntom|jfg6rTe3&yNi$VLt?zir?B<TJ?
z@QxGXg`PL<hpLI<P<O#7)sjqt5>d+&kDd8I!QN=DElUDIm0k5>Wk?|NpY;9eQhv~*
zX%d`j+y~xzj6TEaB-r4H&5@TDggQg&;|I4S;qdDFC*B?;NVa+IUiw-H{GK|NiW*A8
zpMqHIRv8K2IW&K!J}d&k%MUFV6J_ANX4bhCK^2(Y(Y~{vRTM5`TaWV>WWmw(>uob1
z6)4K+EYuzrgTx!>tc;xH;qjCtTX~xbyuU3~J=P))zTPEP>0bztDAI4@baZzkzIo)_
zFew3!T6-J9^%UVSoBn>0Su&KI`pEHVWgpPmXttTWQUZ-D#{%<mRAKK4SA3RD3expj
zTl=YrP+R-#oYQp*JeWOUQ6nb}zYo-WY&6}?y_udNy_eL$oM|(A(nJQ7P7j}XNKpZz
z!&1ZAZFQK3@i-e7S!j$uew8_21sV-Z{V(FXc{A*JmROJ+C<LBZm}MeEP^s2r8k-gb
z?YLGIg~>zfTIMe*Lo!&grk*xEuMLR-LxwFE381Cxe#iMR8QypH)dc_6fu=)-iC?T0
zK&LLvS)4=$&1ysbho|+xjO_5aom~-Lo};!O`l$l69Bp$E1Nx9Z^i^6vLlG369{3sB
zsX&W)Su4#E40bLktWa?%!4C-=u?zze<b~<_%i8Vcokb6;J!VSqH2kDz^aW-3<rM#P
zVhKRMPiK7PfD&9#4KjIuR1rc<{hm;V8$!r$mzf$qCE(8gDWSM54+?FL3Gs7=(A78J
zo}Qx!4p(LqS^Q*SL*0Zjvfl`tp8nD+WLAXW=>k5XZ&JW>?xIHibt6bu9WDK*r2z9j
zTeGvoeQ?jPq@6C!2rjNl32o^SVAbCs|CiY=Z~6W99e8d8&97voaz*9g<X%J1z7QdJ
zqmZvS5NibHQP;lT9h8M$S|Q_4?0gXM>3-|jNh4V1W!s;4M+VNBC{}<V7pVAf&y7kL
zL56Khas*Ktq)Qx3=k%H3ZsW-9piV;wq|WAl*C+{wLnem?tZ1R)2iD3EW(XOqLPPZ)
z``}cvpuy9(o0w5j+qbu3hQKKpck2R^1T-pUX8UI@VkT`*CrKXwruWOcjGPsN*4#eb
zJGZ8>_<mli+#>+0*O{*Ijf()dre1mX=@(|fIU(8DhQUmzzq4SJ5d1tYtA1CZ2eWng
z`Nfk811+jLLZ^iQNCqv3PhV}q!hQ|th?5QA5%1tip$;Du8n=CYB3X&uE7r3)<e?7*
zY}5DZkMn?|Zn7kCssPipH?i(Y)r04DcONS}<pM&i1tH5g2Ya!R8gKYR7clFAAUP2Z
z*dI%-ZhKjbl{6L&^@-^MpRnG4npUh(*+@FNQeTPTCcKnN4;^Uq6ruXs$^@jfZSDb^
zI&1>d>=`c6hBOA>0B%5$zm9}d2C&U-d}qMWiUCfUP@~s|(B;m#?m{|P=w``$e76hJ
zBJ0K^p3s8Yr*TCeX=uTMr!#Wt!4GW1{r2<j_nPp`D~fRbJ~fzWIFF`m4PhS|g^Ig`
zHDOXu&RErs3Lg5V&0jwH8)IZW2R_#{Kzg{vi#cr@6Epw8zFs?y?Mv1=e)f+#H1<Yk
zyH0OnEgUX^qlc!jnex5*Rd(v&bnfL$;oS|)Tx~R}cls|jCwh2Vzex>RzHXOKU0uhn
z>6s<EADP46pY#{)1T~nLa18Hww}#~y<ak+VFJR&OV-NaNP@t#9;_Rf#8fG(nPR2=P
z2{RjPE}GP)z$v`kGh|{FTeC~qx~jc`@yFom=9Q`t$HwAtvv(Ei(_g73*{@-vW#7Xt
z8>zz9BaPDURJ%Brm1aEdZD9F-x@ZEwkm1m)$mI#AHSD?t$I-a4EiCO@s)f2E8RD}E
zjRO;F*qy$l6CX%akg=|#^KnWAKD^(r81rf!6Ox!LCWKQ%RP2!$zUwOB_vH|^ebNS|
zlS8}gHckV>#V;I;MO0v=@|&q`$tJc&t=Q(}O$QV6_h!n@k>KbLeHt0+ZA|j);)FK?
z1N=-sadW1K2=0CD`&O>+VA+ooMcQf^;dt}wBJT}lnE%elx&H|jT%Nf)Z<NIhc^|E7
z!mN~`DE;b(C-<n~`DusEC&jGrtSLJ1QLYm3rG0epctHa_SKNY^$JycHXX!#6E+tU7
zA4YquoffXV)%|-+jte^Tngv+H72(5OOJ^rZdMHbkYLO1&hHQ&Yo7Qy&c&F)DS)9ZG
zJ9ueQ>mUyZdNpfaxvl_pq{PN=icFC9pl?sN4<E40RF9GQ6(GJa(b{K{89wEd(tqX`
z083)^(xEZ}hzP1xUF=|m0aK?XwJ|{m$?AFS??V99D5G3~Np?7VXV2-feqj(kwQ(#$
znE>fS49=aqzF~WP^L5Sk9w>c7f9)$h0ooD*Pqo={16@Dk&Xa?CA#{_4eq~V}if0V3
z)fe%AX?%DnpPK}v{q;O5ye$v@H@~x9mgfVJs#wm^vVGw1m!i`oO#nL8mER9=ey~6K
zJmj{t6vWS7-6!iufC|wg&95#ALh$A2$*<Ycpw?YF-2H<9iVMfC%pVa3tD*N9Z;WLj
zKp<_HFIWNg-zoEUI=lz^eAkAKFUUdhlB9T=p(0ccTpv+8F9xfwuMCn)2{6EJ+Mj8n
z1b(kH#yCpFVPV~ffAEGP<nr33zKBwWza$5yO16FQAb>*}*(t;06r!>qD+wAmqv3~@
zBz(zKpn9u70=})~l!tyQpmwRVP4Af$9QDkpIvb(_ISPrS<S;TEv^$YeyCMy~<NLi_
zt;le;uBghtOcffK&pgnxlZCtqnQI3)RiT%kfxUT;8uV!Qm8+M@0iX4k_q-*l&}vb&
zo|mHzTgyR;t6T&KsPE%kQlh}yJJ*x`IBP<}W$*l$6AF;b-inU~QDFSw!fKVOHoO*V
zXY9PE2y~7eY<>|Gxa?W8_p-Py(Cj=sGXGKuKGY{OKRQGK?RKx8Kp}l-TaEgf9j6S{
zb^&+jT2z6%C1c*56NAL7x3AC{5TSM2YJHks6<iJ+HD(C~2vvA1Cs;xRrp1ET!NuKv
zTlod*9SvczHuq1(5E1%&TKuKVc72$ge{$nKBZyo{sxbe&d;a9NAW=&R94>y{E6`vB
z<>P0D1y2$|&R&MN(k~A$drg>c?dGEqss8cG*UDfpS!hw|AOq%yT~F>$H-@Fq_}-1T
zN-%UsV&9!_yZo_cN!tEqysL*h4X3XwLOT1+cFuB9xHnuv$nG|VXPQHeFNG8!-|i=;
zo1p-xcB=$SR~SQr$1%B{oARJ}#>qDB1Q*0Gf6h+5ZVaf$ZZN$^7I-Rd*!Wm7K=kuR
zO+%#Jdio44f(2y2N|TcOK5reHinmXzYc_)TIT~wfD=7$+7<%>6VI0e~3oiWVXar{E
zx$ecc_5s(gNXC@WbbPcbvN&Sc5F|hCby$2T4sq2tM$H_5<Kz;DLo05EyYnDWf-q62
zDUEmkb#D$&{3UW(Y!qOM5V3NLM;KabuGe3nTfxVtb8jen0fc!uvi}nhfUV(!cN2Qo
z@x@_6^2r_y2!X51zpQyd?dP|0C+98vThdKyopA%u&AS&ERLup?hf!E+*EU}76{*j%
zqYuy8uK3OLu)!lOef9KfJGg{q1=}HUeYkN$xIH(S33x9yc=X2a;5~D~a{LGMfbnR~
z!^vtoIOQeX1*$vv)iPdn(&gQ~Nx6M@(V80A+%ijO<F@fgENRG~L<io--2W{WvWdN7
zIUeF!wuMhx(pY!QYr`wqrAtj~%b0*#Z_V3pn|SMIM*1KfZP?#n^6HJ?JVshCFi{=Z
zz-MA>OADg4Aj$cUEnn0Wwh$d|J595JTcjC=@bqg!wfVuX_q#{1Z#(SCF<R?*5N*W;
zJxxvE%#Hmv%-)9yb-Mre|NlVUw(Hd$4>jP$<%6x`lg(K3wJQu0G;8=vezm~Z4RweP
zzsPs^Mh+(5=b<0*d==LnR&5mZPzU$P9RbU_5BS!9*N>$8uHuf)dB)ZqYOr!h&gYlb
zH(YJ&*{r6^D$bB9@o3&u4cfdmrx@3|@r=lF-kgY4+@m@@<9j6q%oEt0)0GBrcA=?z
zOI@q@gLUDgeoYEUoTcr^I{ORH75RE|!EOy-pONSL^-dKEP39%`#*gCVQJ-%Fv8>}&
zWZK$hZB^*b$T_?eH-UdT?8SEG?>a7Xva>!Ck>R5+-eh)u3ctoJ$+AJWiGQV--rTU*
z_1!7QB$N*P#Sfb|VUG`Q;cl!RcO-jNV6feE@M8Qd&gQGOBG|f(w*~p8&ibmr#S50_
zZ|=<Df!BDPoJ^?Dp}LFTU8q#x<7JV3M=vkn3WHaj1r4atSj11_m?{bEU-!Jur(VLl
z_e%U3u%$t!@VCkSED=thi`y_yUB(acyjgv8j~1Ob&pANKSKhUM$zorvSMhR!#lMR)
zbjXd3v-0+m66{YG3+R_v$4@X`j#%(#Kpziu-hXMT1d`?{t7M){oYIqOFe$=>1c;?9
z?^AdE_=(HS>4a^({K&iD>vPQLmiU&A)V2ahmD4&4Xi%ZmPP2HO6;@>O{QV1CF9i^m
zw^)w$r$#+7gTz@92lBL~4j$?y!2bXM0RR6Cmv=nWe;miNvN?NmcgCH=xpQX5y{!}?
ziK6nO$c!izQb<xplTb#o6=^7?zMm2eJEN>hvdKy|KmUIo@5lS|_`Khr=j-`$l2|!X
z!-_VZg)ENQ<B-rW-=pKss<1WDv`9{u9SQmo{=Li>LMHx={6G50klbsKVfcvyJqe6V
z?T`^cZj&|wTES#^CyLX%7{!UKFTPx^e=3U1|EP!;3X#G8Jg(r_f82<e+J(0{A&$Pk
ze%|~Fk-%sVD>coR7d3A0w86PbBKgd--}IwM08!J7j$D59{-CqdH-Bk_6I*^|yoUsf
zMoGO%oH%6Z`|;3@Qd#77qYZCoKms&#QJ(1{gp$%U7aOG&kp72?{{Qqz&|VwfocK`~
ziSHxq-1Z%h9Pejd8QrW?-<(1`w@(y>m@J~s9Yi#8*2ZZ%kpwN>dtb3|iKF|9|4m<L
zR74WHe{2&SCqcvyb)(K63A7vkxoFH^8R0hUHg1QIL2veetAD!`DvNQr(Mu#D|8Lxk
z!>X$A;@1S{%UK!J(_^TNn<k@U`^<Re#3<mNN8T^2Cy(+n9n4#sDd@$kwR=06YJe7g
z@&xV1BfLQF;i77F^y-kqYQ+O}`1)D0SM4?dZ9gwGv06q&Q0p^!!ix%l?ZbOz{t(go
zC-r%U>}Y7kZQz)OJ`Kdpj}I5`Q9>6xV?^VO=*Yc<S#-&l4jo~;`BdI2qaRu0>XOo0
zNb^dCU-m~Wkh=MIPl`4P6|*_%H}+|vdt(39e|FM_hy#iETLolvR@FU)9?3vwBMnS!
z1$E)5a2$T8AO(#R9c`s28OVA?YUa(f9uQV8^_=ojLsu{Ohy6#?MysDh!!l+K;0&8o
z`?D-{#JMl9vs+jj2~un8Cb^9u>d4NS@8ufkdS_NadgW%FdoqnD$tF-4wv$?vL`CIn
zo}qHw45Y-Tc=@J0K$r6Tg#ZmrROa^h!ATx1G`nM6yFl6$WZx}I@yBT*V#N2VF^q<a
zBwo9-Z<qpe>0DX!HBIy{;9H@F4;2+To@AG(F@w{xr|c!IHPQK^PWOEi6toal5Xk0k
z4)~~f_U{!`<eQ<FtV$;#S<#p^_f~T#9{4d;Q?G$8ip@XKc2h(r`-1Ohh*`jX|F~x@
zoA+{gJlAxMp@80L)Wwf!SU}LhIOi5^HRSiz$*iA85;4w8IsB8efHU&i!4c`IXz$(*
z(fLzCNN+!1G-=!%tj_y}$90iV%ZIAF0(zWCGh!)v=#DuAZlor>WKluU|BQaAQkSvN
z=%4j{y5>-R?|3y`UJ3a<<grz9`Gw_FF*4lWnL$uJ&r+=c5#^-kdquZ>VSdQezshQ1
z1_`Ub_f{Ulqi>64osaycnDu;V?e54F`1x@)t3)}J_h$at7-^B&Re1NdsG%wRIasq+
z`b-LKAKY#5#AlspzpcOHT_r%!6Wp1*5#s2rINRmjek}0fu+v^+9e{W0hf21Di=b75
z{D|p(R!}JDJnIz1gf=a_UBVL_@|ArbU|PclM)`d24@H`QmbLU)odX|AwaqN{r?bOD
zb%T7l6k}N7!Hbd}b0QaG{h?@Ub{LD4UC697f;g`xubvBRs4#rjKskvWEHyYhQ~C|z
z8zb;kLi7e!%y^c3zmE-iJ*pxT#0+6rnKD7GS;U^|**_GHWCP(X*Kf`^Y=e=-%+zbu
zvsh@Bxb997Hdt>d|BsPs0Mui>hOL{E!+9K2eOkf_^8>doz3tbBu^;Cd*H!wlKJRR?
z!#1oS_wjRqgtk7Uf53s9Q7gtB%Fc0Wg#`p&nrz1s^<Z_u-|9I_4#rYk`6~fqfro`R
zTXv7@!iKH^XOYzhW@L(DmcShrFxow8bHZL1l$<X|mW_U82HNDwMPFlq!%t_9_Po#m
zWAE=8DHr;gM_i&0yt>B%Rno}7nxq4X=>pP{w}+TUm$;SXT3Dbsd1WynLmTV`awdJZ
zk24n}lgFRSvO<>y%ezy;+VFO?;pf|eDdw{*mi6QDtRP;rm@=BofQ+Uq?Oz6Gm~V3v
z+~q{s;Nwp2tM!5mz?lxl#t+OfD<^vPq#-sSn!;Y*6fI!zMi;lV&ohghNWmS+>`<7s
zwJ}Rx3p{O|LOtFtFs;NI^`_2qfWW%9$b|=VXtoG>9`tC5$=gA=s+F=8j<MnMs!izd
z@~UB3ZP5zTwzzVD)WQilr<d#Zb<n_Be!ouFqctWW+e|Y<iyO|!s5|-|r$Jy$>z4ke
z4W?k&Io-Q&cmU`2&_@tQgZ<2Fdrz{nK**D6g~U^QK)qs`JLsbcI?u97g0)zoZ|tj=
z*dYNhrroZ-_KFG#2S53^on(W6gutk@Z8-Swlhr?8k_x+W&IW2XvV-bzYb4|$1Y#jm
z-#$iZfYj_O#v*eosKzpFtM3bgX`Kdl?O%1+&h4-LrkN9Tj2Tst?4sZhl$xF#st!SM
z8slZ>xq;Na>hE+>433aJJ#5(3LH8Vim)nsSdfuQlN3sO;c_q!d<f_5ehj~eaUHnkc
z_L+QjN)o<)bXj$APy=TF43|f+ASh8ETMG3_!@!T9XLUr>pn5UADXSj`NmMmT&8#de
zZ;42uj8R}w^u3LwqA(chAr^Zr1&BGP@u=e)1(sswT-(lxz&({wh-|{cFdI5%_=^HM
zmDAr({u2d}i+=lFNfDtb<ZFB@w;JTO!&Fp)I4oRkC~XZ_gkcrW(2I_0P`hAxeLGVU
z$n_sAi8D&@ZK8JzR-*<Xk&Owp!qVXGR_n1hLIqxmCZ!zwPaP7nDZWWtWnpb9?TLZ}
z8G1gtauld(K*%M_zFX4r5K+f-0ryrFCRSAc(y3G!S7=FKC*h%s(=vDaNj13Oy2q$0
zKohc~e_X#}Pk@hJe`pMf1|%-)r~00v!EIemLx+n*aQ+nY?m#yc_LGb1KfBODqhItc
zPn{yX^Xxt>ZcGE7$BI5z4r{>*3Ji`FPzD{HT}~(0X|Q9ppV5Dv0iC0xVpm*MU|pBn
z`d2X>*6i%5Ux&59bEiK?a~=s&jn?lF^|UtoSfA`ZtP9UvmqbT~$Pjo>y6{w{7F6Ot
zXu59bLCtiqi>nj`8ibxYDYa_>;l{AH|8oN<F^IfU$4~<u?F}{6HZ5?TDeJx)V+c``
z{mVKU>Y$Q|)5YD=0uzOx_Zv>ez(%ypxU#Aa%klx++l4pxDpH1UL5T_Dza#tk(={MZ
zMmF_<9UXj8-f~+Iz$Mm;RU#`Ipn|J0ykkv+7E+gug^?+IIKkSQElUMe%FY*587dgF
z_DLj8n?mr_ZQct@8c@^wG&$5l4gRhM$5zIf!L-#)UG5ti@LO}L=C>LdzEBQOgO<%e
zQ+&N6eMlYlwxwN8n^J--_Bj@ho#vo^+EPG$RSh^O6~`%M1o$uZulwE;=8$e0E?v|`
z0m)vxH3yd*lvRHF%pGnHJGJ)SY`&xl60(IN`-CN6-FwWZcayUhtAC2!#F1fPE!VC$
zTL?y?Ue21Tn?oAA9*@U46_6&~G@)PThA*#c+o9hKH0%cbV|tX}h4lR=Tj(rMU*2|Z
zHr5P$xZbATqAS9X@5A2*EdDYV&y7aoWzE23-^K*#G68gSC3g89>SvyGnki>3HHE+=
zQGV_=1!$QQqjpK>VwZpD7|Q9GLTYw|4Y5KNDm*>fw~v0uR)z1V8N3EKx?GX5$wBzJ
zOJ}HsJcbckAvVYo;9Shr`%1&&p#D#xI&WwiGZ7XOKcB?}`}smf%}!C!bkw=$6*`BN
z)Rhl7J~x4SGv0=}A40&xP$=BD@fUL?vVKbIG=}EeE;-qbf^atf+XdO`d92m-f!F-1
z5nP%76zgrr3pxWId0KnsF%_-@ZbcL$IMsdR=dA~vQ0;bSRQ1w47C019T>PIQbP5?g
zKjO;{9<+|_e}4SM7*&$>@9%7b95JdQ?mP>;KK*<tpXD#+r0>M>;JX1ZM~<rmG_5gt
znzA|$vCd&JwWIGi$OiCk2mCS8U1GNI>E;H`&0y1EanYft^`ShtC3S%`&&)eD+OzG~
zG&aKK>3*+44;(Yj9;c<wFrS$YnN(FwVe<k)Ryrg-cr*n=eZv#X%*_1<qF+y9>5(m7
zzvFa4vI4vF(s!6yW8WQoV0IkyJxb5@9oK=m`Qz(N8NZlCx=qr-`^K=F7YAG~?bQLh
zTaT1=>U){A{nxu}XGXA@n|~U&zSD*ZO~t6ffDUF>b!x@Acf(lP(;3I-3~k`Cef24G
zyph=)!0D>gFoc!e9=mp|m;tQ#&&p2|-Z2x-@igrh7{Uan_{vxn8Q>@MwmEtA5wlKY
z`={jiLG00tWuaq^7Qo3QMe*nWti=0QSeL;db}2`(0ti}Q_0dj<JoX5)c_QkrLKwt?
zo|0ZX$fpBtTtT(eAHyQNJJ$V-2eFlIzs0i}bU3suE??tXht)YgEc=)=h%Gg^m8QL*
zf#^PmTCcbU>|*fllp>)aOlg<Ir;+V6h&GyiGN#swxqc`-+xl?`ODh$6R{ls6jwXlH
zr_Z-x5l8D-!=4Od5A1$Fz28NJV`@AuxQCrs?$rLn4qryF`_{7C<GH91b2M<bm|GX7
zOm_KsOJxkJ{B7B^%~%6GxRx(wi1cD7RexZDkH;~)^>x2Hr`3Vr`!s*@>v!zk4ad`}
zrzf!ow?_Gro^Nu2!%+T2_fIUfF6iClnJG+7FTY@Zl>*}yPS?0xe_^xvU0ex$)0p<%
zw&QQCD3CaLsXkz80IOi4pWK95tlM10vi<g^2c0Ri-Jd;(b(P~@Bwe1vSh&JP$dhCc
z>SuLI4;;o!%{zJ}rRTAG>WZP|R%F;ikaAEtJc{jlD)33R^B?wnp#F$gAqn!OH)b`@
zk7G?53feJm7qNk$r_wfjB$#`I7>xQ!jI^2{{`luImUX^?;(JO3WF=o$a;QvWwTd12
z+4^hP&%1&RErZISOt3q|8asmt#IsnmHEm#vZrx`xU6sMH{-FE9=01F!D<i+!%YqtL
z?*IDNt^^;p*t4b;{Kfbk9(^w#W<~3lU+fWaQi2T1kBNzpe;CWBu_Rm`J6e{vN!r$<
z2#t?!opuXY#Qq(Nn&D2~iry4la`@z}2zt>b4D9wY_JKQHnNh-p76x@wbykQl_~G9@
z=jByQ*p3i)bBzaiUtlQ`NhLy;u<q1&`UVye3n7I`{HTm>wO7`F2-?XEnvV$!>Rwt)
zr_*pqW-P%$dyoLV{Qu(rwzHzoi`mgqZ-kIX3Q0Ef4guafH&z_D#g6KXW!zRyh#;=O
z?J;_X2#_mjeWyHXE5be0d>r8<hTgMI%HY)ruy9)I_uecnq`dri)%U0bO80Rb(cmF~
z^KfVl%PbGVYhRSDD3L<7bWxM~B|PMLl{;2N@gvo1%2${wvZy@Ug4n-?hlHPTzkiZ&
zh+N20_`6pg4Sq43n2;iX`Eps?&c{Ni+u__d!BITArCHh}v4;RxVr1U_cUS~<?K>tC
z7)wM=#QG!lr3BElnob?qCWbEiQJfP@m5?@f`u#&{MEH|<a_0#X2_(k8aPl!;1x4s?
z&070Lgbxg(mLow@Xwpc;LxVs@%Ko2!j=WNY#D_ij<YpOkW+r@T04V5M<(-(Xy-Hvh
zAas_`T^=1jU5E`vsH1Zir@j0vRbb%U=T9Nm@W^9V`k5c~ROEvH6#I9B1jD@rlMY-&
zH1O@rEV@ZUGd4%v#Uv<@oYir8B1I9!DVSu=B0AE=%$r41)IlKRQ_2oqWyEQ3skrf5
z3&}WGRZYieg1Sr|?fY*P^ktqtNt|b(0_VQJ@h9j|Ja;+M{tg)#zLXpN@3%IR80|D~
z_h7)4=J%PJ4iv=c!kXA{UkAl2@;^CzMF+n0j?WIRs38v}^<ry9U8GAYTcZ!_!Q9Oz
zd~LD@nwvDf|8kEm`u>xs_}{T@@I`X%hvy0vUH^nEOE=H=2XnbR;WLICRlmkaQZ)2j
zV)>V6f)2VmyyHbzITLa;@0YXPpdp=ZvNZceZ4~+N$BkF=rZCtU)u+-=Lr*1{N(>PO
zvK<RBm)T_oiGFF3AGgp^SM2?*Y^HS7{wn5vqmwx}TTa+2Owy3rd%+Mkb1E8jHVV11
z>C3M8&$OR;G!$f@G&^ud70vE_<)7SO0bRr|6{l2bXypD@kG5JR<Z<(cskWvi_<cz~
z+rCCc|GdMly`ED*JNqoB!<;SQQ@O$WQD+VGv8e5qRfjkVzF9crWMv62BR^}uJ*I|8
zTs^{{*7;CS1IK|!+?MdvHALr@qbh2tttBurR<V&UR;|K?7O=e5&DknNLOIIh^gXv4
zu*sj_);&}$;BQuv)?kYgTHaOfy}&=iq%|A-?n*a@Cu~-G+%6GOh*9<0mbY7gYg%H`
zYl}Hpzc{Sxy%Uf0B9p7Fr8vRL3cYqbVg?d_M|V?AWl_?9%o{Z=yui-rld=0?3Nf@~
zB^I(I%G@f`vRz#eJOwXtUeYv$RrTX*ZM#L$4a0|)`=8^$Ge7>tQYJvJkDjRUTO7(>
zb2Gi`Cj`snqu(Bj0AviO^U5ypAmv2XsK(Di(0zX+i$r9?r%7G2tsCq}wkKt&=8q7(
z`)I~0p>6^>q%)IAY8%+nBpW(DDg=jK?g+kUVGJ?O@ikPRdF+lF{)paYou_6qD9q0Y
z2*L+Sc+E#KZjS>`JTiqq!T4EJ-(5p^<5{+om$wb;5*K-p9v}oO-$S2gbZ-NST=96Y
z!#k#Ts^!;1Od-(RGB@;)xDA3SpXZYG`kC38)!Y4KgupQ7RGsEY1K6rrN=m#o!OX~U
z>KEY<f>Qj)AeSb6C|G>dsOvSy9I18bOWDA|oBBoGi!^;Ot7`}(b1pJDs~+v&!!HEc
z<+)+%8F~;yCyhmzt}<Vk$DHA$34sjv%jqE=J#ZL2Sgb6v1tdm}-d^?*0{QU+_D5rM
zL32CT5^aD5tp98MCtW23^zi2JlUsCQ4^{I-P8u7$gXc^+f-tNP<3(m-bzs=XdS~i3
z4$%1^{O8&|VK}{>lin<-0~TW=bJ@+C-YY$SeR`V+$nYvjh~LwOZ(^di-X7wD!K-g_
zA5MyZOaFJXUVUw#&GN~|jB&%gH|3}FUy6eFz)MA&uMALNH@dtK&I@*bc70~QCk6v?
zT*S<?3|J0r@%$pf5BQ}xg@jyj(EC7-lviZ{(`bjaPn7_$m|vB#!X#i|@Q4JpPYa4z
z)DM2w!vXL1*W-^DBq7OT$0d_=E#OVCpEs8i0$mmHOs1_gT(cn^`g%wU3N`5WGX;d9
zx|X4D{aOZoMCHV$s%e3DM`>6zzX;5RWFF+VkpoPfw}8&31vj2JNFA0D1t*FN$JKdx
zSm0tie0q=$SCemUBp8Unj`OL!mTq_upxNv0ZllA5R_1HGuQ;3@7<*W}>3L?hUmD&t
z(gFXVt3$9<0$Q6nTMyb1!E#INkslp&;LhK{!oNiddJ;uX9(PfML79Q!!3jDvS@q^!
z@R0@!y}TodK}rxn>DwtSss-8thW3|!%YY$!zVFv$WhhH-Kk>y@3p&frXumxn2PM>E
z^&d}F;IMUtnQxjFct}HotC#|$&ZSMA|4ss~lS<9>MJ?bGrmW8%!9zj&dzL0nRoI%Y
z;ePZO1M2>~ZMbJafXr`s$Jo><;CDAWN_dF@q+K>O7Moo9#P-}W)KU!;gS(a%?r6jB
zh7t0-m?E6;?|N}-mpaU8N6Z8|>%iVidxCbeD#4%cZDm_F^Vyeh1-uzq7ev`C9|TV-
zfraw^_6NLFpyc=QU&iUdt+=Z>({0M|<GI{XV#TKC)#Lmw@aw~^5(~GH3KiJ*-p#X5
zNfR1svKzu=4M2a$I+61N2?TZHhHBk3A#?nqVX?tBShQ&FDK#TQMD;S;+kKj#-(l&>
zbT<TooP7}Y1Q}Qo@$vRNn&ACqq&eV<5hRz;%MOLBLb_y*f!YZw)Ey}6yIx@oa*+gg
zwNX{5b6iwtzODh9Df0BVCKLE#7p;6&n*s%Y?L0et)FCsMb8xY1^Zz-R_=(^`0o{OW
z;S%c<Q1$;4d;BOsEJ5<u^j-=KkQp@>Tveg<`Q@;%7J$!sZo+?5DA4B@PA|Ajg2L<#
z?l`h3?D*Vg?$f;4&*8_7lWEEj_KB~wCcqT-=oV?O+N(ljvX=AvR7I%TsQ1ykYYN##
zPotws$sp;WF?s7c0Tjhi%DYNaP@a&s>m4LPHET)8TMY&HASGHV^4b(^jK+)`*+`(h
z$M^1{rwpL)7hlIcGKKk>CE9%+73h{J`z6>b0i_(TxmIqNg0-P0THH{A(a^!yj`u{t
zC^=#5{?Sd}jF4Op994vj!1QQ=H$qTdQfk<vVG8T13i-heM0jay|KZ&+0jRu9Oj{ZQ
z`0L0k%DL&)*B)|Z)l2dK=b4kPdN}}Eih4N@Z{UIQito_m>8+4B^VRgWJ;3EI{ymAS
z@-VD4X3i7M1{D9hH=fQj!A&;FR%}ETjE%n+*Q&69bX;)UzwJyooW8?dZc-ZVYAWw&
zezMMVh?aWho?-$KNg3`}1*IUTK`@C`Y?Y}RQYY8{%NW>o^nPmZkpP-9m&{#<WhPEP
zXZjz_7z$!phrd>eLHr=K=Yh=<li{s7R}*Cfk`g*?-X@~(@zUe8=fjK43AJ5c<k}1&
zJ7%p~epDE;-(Tw1<X>VI%Ze*!kqx0P{>$<FN+Aem@QgeuSYn3Cq=!C=-Uc7q`l_@G
za1j2-(L*$MnfXhYDwwtDt&;RTVMmV%LUkTDtHJaN)A5{B#%-nnz|9XL*^T@_JU|ti
zid|#kuHmYx^Yo#XgSATCj}MaTD#c5kH<%w&Bqj&~`hY9o+RFpHu;3$nf>^!<n!nBq
zc0}lbm(KSzEn6N4DDjSPsb|@ouVZh1PU^zi{#KJ03EbdZ$42#BXNAG;+HZEAx)5@@
zY~b4p7sS^5eHLNG4(D<!Ln%LWz%R4Rl{bS6d}0-(k_tE=tHJR|w3`la@?XaDcyhtt
z0DLlDmJ@E|_a5>3r43c~&RO02xL{>%-=KLh7aa29wV3qN25Xeo+IoTuu3FkOownxz
zy)V_jbQT#fKbz2<TFC|cA-VUmaeTn6@HRSfg#r6-to0}=a6^mdUFO^$ey|^@ioZu-
z0LKl<nA!*2uphVY{Op7v<Q_;4Re7TYGxdDOrT*iAc0HcP2U~@p<RC}9mb(@pF@KC#
zmlyaO4gXzH6^5kNYbC;5TJWWKM`0VC57NARD4FgeAog#1f>23^Z@Z#xr}pr}S(lHR
zVGl(?<%wKay&oMC0z3=lGX$XM=ZObZLgEmVcKvmt3LVUIAC^$raqzfkL2f=-0`lY*
zKP`;XK)y~f;aD>cX3O@KJXVo{g-V~!XU}LL@FK%5tXv3O*R~Q5c1y#AP}0!lD>Tqi
z(I*Jz3q!o-=qdG5S;#(Bdfd^M1_z5YIp!aUfUPfIk5q;{%+<9F;2ddCdACV@rcD%-
z=ZO3I9Px0X`^4A&9W*%gHO(3m5QjahJal0{0$5oP(z$GDP;p{=0NY^+SS;!J;Bl1*
zBD$w4#tzXSjzfRSph*%)tls;@YZO7dwf>u66b%MYq<o&EG=vuv7tXRNLyDz#nfy~4
zu<yGpNuQO0Bl=`fk=-ib9xHsHbA<+>{Z_9I7t6s-3Vg56Bf&(ZK8f9h4t-AE*QjR{
z;D!Mv6Sq!=)&7;=CpP(bsH!jiSQ#D+_NJlC{gll-XDi<Ass;bp#zc;l5MXC6=4$a!
z4N?l<HdL}QVAl!;4rN40dSZFu*t|NBxpVSpbqol~OINLZt_WqXG*8x(si3i(`)4>`
z8%#;fH`{8Iz{<JDW58Gw96Kq7HTQIYt>MAvo+f2@Jlo%k7o)+p@Pqs>Ug*MvgwDa_
zb`|*ZW4_Zbm<CjXz|dPGdYgRTz4*781m_=m1{#&oAYg4gv_-=JQu0f3;$M-$i$)G}
zsH4HMSNu}Yg>ArTkXF9`x+;{K_4nX6-`nVQqV&cuLzw=)>#Mm91!DMnz4x4^!K~uf
z){4zsDjTALGaI15vDt)BIxh{_o-)-RW}AQ_J-qOhqZ&N3RgjnXMTM4Y?~B97m_V|t
zEFHS72HVEH1>2l8VD)I!ndT&bj=c)Oga>L6Gqu};d`=B^y<UzWikU*1^37CcvKr*9
zI>%ResRB8?Q}N^_Q}D3P_P~tQAo~l>z*(LICcMqWxqef4l{fU{$14i7D&JOp{Za{J
zUN{C#6V0IHW7PBwUJB$ib1<o!d1mHL-nQADW^m8KLwq+~6$BHUer@Sg0HqV*g9ZD{
zKqmF;){k0bcro^f`>UA@sHa*@z1sAt`l@L6cySU~K5(^iSQCf(&MVvQQO%$;S${Bf
zKpCcvyf^wQDFQh=)d=QmrcfKN@K^Aj66n;;ym7M-gfk8-mujm`;m*&f%oZm_P>_iW
zdv44Py?t&&R>w`@l+1w%Iu{ZC2LJ&7{|uLRJk?(q$8Fgzmuv5Rjf;D2zE4I)6lvQM
zi6qhxGRlmsh-4H+B_k;r_mq*y3Ypmv3BRne`uX>~&N;91jPrSap7a&_?{;DgkmahX
z@J47aH0`I%_ti>(w^|hcz3P7$UL$GdWgP%>^RZ}!bulRans!ZU@DFBW5v1wq2ynq9
z`awmk2%Ob_DXizWjJd_<#av#;piJj|f4G4V9Pa8l_qBWh!zte%QzT(9H+`8_1}6Xy
zoKt*^n}1*;^9%bFJ&oXFecens8$W!AGM@R}F@?R}7CVQ}H-wn`k|_+Tc!)ps#=kOf
z0#kj#_?>6M0IW;f<A$#Bz+P{~t;x`F%!_hbXI|O>m~#&o3e9tam4T}0$;aau*Vzj-
zV(0b2_KyAgSq?6^xblv!_W1;6=0_wfSLi`@)n!mmWCz29hL1<Rr!ajN{)IROJ&1jI
zIP19`E5t?}_wlDrV_M;kGQUsi0>6|~UXb@5SgtZ@Zi$@5PT|uCV&ytua5~H`yp9RV
zeQWpSJ)6hoygs|^aOuEpRv()%D@JfhwhRkrU%~|VHVT6Lw1K^PZ|#0Q1~5=Prx7vn
zAEtgVdL(o}3#yH)CYy2ea3MS8Elu|_7Ap5JW!Y2<xDv0Gs$+COu+V4<8d}A0PA?Bq
zD=5%YHea@$K?{j5Bgz>z*D=E4=9Ml53Ji<nU7r-Ag%kSD_m<T+upx0VX5l<Cc-GHZ
z5L#*A*3CZIy09%wa+27WC`yKR>`hZVSv0^A`Skh6`5nw4N$?*rTN7Avsr;|+(m>E5
zQmS}04di>?lAV*%gwVmA3jKT<xD-`7NsFU{3x8U^wLRAWC$GA*#{D!<!1kqWe;_?9
zo+%X>)zN^El)ulA5-k`94fgy0Wq`)&z*b_5I?$R71~5OMh4=q-u>(m=AV*OTZFW)z
zMj88%It4no*_Ji<!E_I3)$q7<{Ut#&?s)WgHyxb6uCiZ<zzX|~PUw2wC&5?C10}Ut
z^pL^RLak<FhtcynjSc!FSU!5Oej$PZsF^!Nb2(0sT%HRiHLC%{$yV6MGJ?cb-r0i`
zZm>QUbK<nL8oXs#S<xwD0uF`9Ia?nbR3>q5SH!4-bGSnF=3izgbIQp-ig@69XfrR*
zmI~z5Wsf<#v%tD*D}8_p9-axuKJvby0=nKqGH!oZq0!ztcIFKqj4`@gS=^%nr+r#|
z49eNz>4OowaTfxlt#=*TDo}>`@SL<`X`EmyF5#7+A_&<>{aQ4SDg)D_R<3+oZfJcR
zcZgP07<y)8H-q_<fic{QXT~1~gTZm>q8g&`QS^ro?>rG4-w7T#UCaYlIeAXr@DT?y
zx<1>;K_YzLrZ$|R#lurk8s)rM3D_ylRcM_gf_x&;!~PN<$ST^E1e2uTHur5wU{i+A
z{#W+i+~J4yn8O>-;-n$x>IO^s?t45J47_`a1i&ZzScdP03>f|xUb1gchVYYY7x*s=
zL7>o*z1<Btcpch%a@tV^D1zQDNe&_~s~fb&#;yQ9uPU~!6jkBj&j9nyvtrPNyfgn5
zDuP>EN@ACS8tCJelBM=Zz;88D-%%?fa7UzOI;oQY$8G#j!$T7O^!|C0_*)q+(1nT#
zE|B16it0#wsuT<#{GfI|Q5E9Ppx=X^)q(Q{-eRy-8a(Qj57=^&AnfAHq_Z6w5YI1p
z`a6p(_|$skMK_W_sk0)la7`0(t#1y;SjfQ*T?39zcXe3Gd;a6RF$K=t^1hlKEf3t*
z38kKM>QGbhA@pad79<I#2K}y8fQICg>ZAi2Fz`Vci!{=KKf)=P)1)HstI#<Uu4zC7
zYw4KhcU_<wX0$FZDZvX|i1Qae4Y=s?@|530eW<M!7sf`2KtKHZRhovz?m2@|J$pm&
zLOF3&kCY)*g;i$el{%;ft<qfM!{FaF%f04WDlo|4#(!Xq1XnUzk~<v$qNYjYz9bd6
z-IW#P|5pw4+?)9?N$iC@zkh$HN>m`&THmGQfeHvVUo#T>yca@KNp)QDD&U+$%Hf$&
zg5<Z0Q77z-q0-Q@)muRYf^Po&7`-A7d;_>_p%!CM2`RBEjZg;p!1iaqM`ggEaHUC`
z-vlJLr<n+kiSQwhI9t>x3C!0Axh`NPV7Rti$QQ2!2eUesR6|8!b~(4hY`+PN@$f7U
zm@9(wo=a?3TL~~}JPgew6F8Y2!B;vV56^d&om%elfcweZQhFK_NZkL3)x~AEE*-QV
z-!`+sVXyMJ)GA}(VqA&O>W~3fy^z?4&**_G&4f&LH3pLZF^3>6X>f29yk(a97yD3n
zLiqH~UZ8(U(Nf5k1mcNVm2SUzY~;;NN!sMyJa9FOXK_dX6N5q1rdto@XyCdWv75KP
zhw};|e4@}~qF#`qf~cOBLOCff0CJu2&4U_3pe8Y#-*@*L^<71PDW(I!#G;}&7f689
z+lSRIL`_ra>byxDu^80%M!Vem4-XQm0jJA8{iMzj^5iC;8iD3CyxyO|15t^o_LB^Y
zRL^21<0GwxU`>C=d)SW~RINT7x3^iMX5Mku5m_~W@GKMd!A*9!+FYKMdvl2zEVpBm
zDQf^n?G+p~{a9eofpq>Nd5QXdQ?TWmy*}u?nR87sWdf2}%BKy9MXFP)`f78g9+33!
zRyAIr2SNS#%Zd)as3c>Db;(g(*zEgUusA~l?5(yr;Rk+FjqCG;aus!<pC)>+^3*nV
z;hpRXGvh3EzJYym<+=_;6J|)~y#Hd)bvc)5il?ddbn!D?9opd5-nYkNa}{%2k=SE&
zbc)LR&B=ORNgIA_HATg2{KoKa+8p&+CaC0F4@!1owcrSU?-gCgCG6`F$76e6j8cCm
z+^2q8q`*yb`LdGsJmx-Yw#Oi1h^n=c?t?!?0gm3wJ*+lAuq7nycsQqz%D#Lj?0M5J
zzgkD6V%Ddy-tJCGd4?Y9v-h1eE;?jz%aBxS7M#GO*jG5U%R8xA>EelOFEt?`@S%s8
z%_#QyZ&8W(;Z|zm*#}Lx<u!p>LQCL^@(?EH#yY_FzL6S=RU{YZYXGG^QRYZ-A9jbD
z%J8HVQJ;4Xm7I~)0Og^D5QDlNtjF5MT3_}p^%y@VDXvHzZd(j^oV5IcF^rGU-}fq^
z1~5+uu&AqpL6*)prTv}Q44tmt>P!yRNiLeFp?X)xE*d^>f;OyF8viqk&x>lH8zz@;
zPJ(fB2{+617R>ndNv=1->DZIs#|g5p)!@U&pwF*@nz1bzuKy<gKE;&K>y6*Ts<54O
zhhcG~3A<~#r@nBk3=3rasuj(u3aw0?>~$|2G3G5VY5(XqSZ6fD;~GO12$}xu<uuxW
zCAi(uYGbLzGE?x;o>!E?u*iP#fO`WLYI@*Jslj`U;BYL$vw{f0&i8zN=rv$VR;108
z)q2eC`xD>$>q?Nqi?i@P-heSLFFo8})r6%R>!0q%lwdIZ;h~gQ4VZo|Z}G9DPngWB
zCGS6X6hXu3_}z#@jo9YBEC))|XAE-=TbdqGfPMRX8=uNFVYl(V?jHFa*gXo1$xVs^
zWFN_{PbPoF{9frYSX}SI1a3U&dz2^-Q@@Vh{Sn-Z@yK>q^cr?!Yt`M_<Rv*^<lXbm
zlC}lQWPGeeE8B|+J_+1II4TFY&bI7hs1-ZJW%1sK+=nfMhT}*zvfzB=6Zuwc8)jJD
zVRih{0M^OZVt!UZ7Wn<UHDRj*tKUv&3Y-|iI(v<09^RLMKSO3jZ|K6h9^IO9NEpG+
zC|O+oz%Bzqwh`tgg<r6bRfV%sbz|6M5B#jTB@MobRRT3SJy=DPoEFdN39N0sbl@6|
zG%S?jhrCyNG2^vQGAG5SFelBYcP4L2!DT*E8~=$uZ0yAPCY5Iz3*a(8Fi$51Ys=pf
zLKp_I<ohfwDY`$f3=g&VTQQQrvUj6v(0Lg9TV;{_B4ZBYx5@X(<&}h&&zk*jZjWHu
zrwH`7bbnzp%{kjzc@prof;;N&(ioO$gqEbam#{NAW^KkA5|9(Vx|tO-fh}Kt^?d!=
zf7p46D3#ms;^5w2n<IE=3j5ZlqEK{c8H;#wpZRjF7##Grl&>(J#!QKRQIejk*r97=
zo3ksTur_k@Re|>pY&ejYt2b>OE8jEi8@TIJ=3SOkP}dx0D$nomg=PaY5I)W@eN_Y=
zi~TAHz4i;6_#Qg^rFaVyX1)}=*dPox7tfY+l9#YUMf?3N3;tmP0md`yg2LdnAT)BQ
z=Rd4bOiba!Ra&U`5M2(rDg^dM?Oj*$ma(7mF-N*A=)p7A&qirP5L6db>H>3Dv1d4i
z>yy@u&^H>@-*!k4<mXJ|2EMLiZzV1%CER5OI)96afEEF$mbBo0X0d@~eoG8mV`tsv
z8g<eChyX-mjGqhXwz0LXuayHG?7$VlEaLNn06z_srlja;fZwd(U&<&KJYJYxx|BeG
zM)l7;121>|`I5>Q?hy{&jG39T?I(ccuSaHU(e$tub99wAf)}1%wHk2ZBLMsPp0cxP
zj8OFW&OxtqKESTXCs=Ru!`E-*qOf6R$YOh9vNB14^IjXHx%31ONtGVrbzy}N+w;Ef
zE(n2xn{=S8Dgja&se(3291t#K88D<P3bsj+<{J?NNc?AN=^@Sy+#avb7t2Y&Y-}|T
z;t&9l@mDLAUvNNeeN*fERT5H8{(3pqD*(f}_1xLzydZburJnjrX}G`s_G#Y_LEzZl
zsn7Yq2k*8|-#Szx3uq$qW#BPk@Zn^qBQOa-X2889-N9X+Ti|%~R77FVvDf)@p+Yd<
zS!B<sssvKJScK&*aj<iwIa#;c7yX-CJ^fFWA=KmcwE-PT=pLA6{=y{zXZ|yNhZ(EE
zqM({@5VJIVO1{o${#X)<<FmL_H%M^sKc<aFeOb8UFz8xzL>j&lUyO#H)POMmx$m`;
z@=*OY>Z!l5EY!Isi~T6qgc~kmIhE{02zk5rpZ#AsIB_mPOLv<LN1g@-e0;A8<&$*c
zQ{NTf^6Xt9aRn_Htr+$hzNHSs&F(^reM+$R$gr-7q&Cn5)C+0-)&%#O_uY~8%CM1?
zr}3{_8|b>SL;pV30#POH;?@jRa23dvuUFE6rjmfRi3DAE>U|<4Plg0`q3S7SI2~Zs
zBJsHA8o=q;&RWY+65I%Nwsg6w4M&{n&Lq@fpp$zQR{YdKMLX0Nj%q=8W3pSa+g?}?
zN_W)xst(2`5$sAuWayl|c|*C~80xpIo><aqfMC+Ec<~4gIJ?J$<jiUcEGP5V7Z=ol
zx%3!GepL;AXC`LTu$qB|6)hL>p*pmV=Zep|D1rBs^56ImX5gx*akhwKH}2>3ef_(7
zcV*9&i3e)?AbDLo`JNdG-1H{$4O>Maw%d+Z#C9Ka-raMTCQ}vEOzAs6^YQ{)5Sw!(
zd3S%%NYf9y-MZH3xg`zJLA2Zsm&&LaJUq94t$SJ#a*5ob!$-R?u@$+m2F_;iTV1F-
z!CD?97rW^1Ut6bo$7sb(HJE}bNvKx6SO)qtBZZBpnb4&iTefupQy^aa#LB@b1;6**
zN|}x2LbTfl^QGNQVCP^kX&;?9IQM;_T;1kDk+sEam9LC}(=o9{R7wbv-0isE9N<GF
zGl9W3OvZ2`j&SvIEFV-n(~d3c;YU?+uU*Vt_X57$^7?I49CTEeRtC2c&?0&!$khxm
z<)gc|y@(ZNwzM+2j|iZDEHutpyFSn?JI0&gIz7nO2@mE+383Y2J)>+748|Wmt{MFP
z7wbH{)iroq0L3;{zEJZsg1GOWKX7C7*k^^HUxqFMNZ~W0+TS&Vto5NsA=aO<Wh0K^
zRYd_*K;`oEt~CISW`Fjj);{V^vDenkc>==5ye~fA(1%AK3(ek5&Qndp7tI~Y3Fu&%
z++viOK76@bt#h4YjaoYT>GAV$0{W4&FDWNW56;zmKXhYki~2lzwcx2M0a>g3pljUG
z1<O>=&vxOoh-PTIfpDCF-m-Tw(0J*BQ1EYW7jp(=7x{1dkrM&k<{I*j9n*n~L5sZp
zPA0_QKe)jcMnIMQ$BJ7Wb)X>M=hAg)7IfU78k|v0K>GLpP1%0eh6~ESC#4Rup=mYx
zykRZ@^x96Cx6fZ2(hu>YA!`nFHn4<~5+Z=ebD0eatlFS2^ER&EfD1Va_b*j438LQe
z6la}6E#O6XFXK3FbV-7NW?zvYS`;=G;XI@TKFMUc{eC!9NmuwW_pA`QJ7ayPd6NQa
zPeL@W9p^zR?puG{^@UN6)>>_583kr7Y{qZu@uJ>iCoTyqiJ+GchO1jHQUFK2tNBg>
zkFxQym!#B1kr`*DW2qJe?#f7N>ay{nKf-CQHHXE}n4!bI3ML8&;tEunH~EkZAu4eD
zmN**8dfIzvj0__y&tLyq=118Msk-AH5-4qBjhVTD44=JqjOJGe=s)qC!!`s-bbDZP
z*|(ew33rXP-v1Lo8}&mSiye|^W{|Fx_<{_vzK>I+_=HduZGS>hq7-6TUJ)NHBf~wh
z&`*IBVO01_IY#BAG$J^s8EWs|@3wV9YtmT+d4Oxlgp3TDNyxPsn<T^Cl?)}(bWyZ!
z**W@cMFvT}Ox6s=QGjpMx;~~)46P-rf9P+NMc1zfroObIKtFLOFp*mVHB|ibR=OvL
zax=#Ke%_~m)Pom_<SGeNWT&$7!ATx1h_N@NEK^{WiC*}%n<T2%93m5?6i~@{z_lI+
zE!di`l<LDtq2!+_Cu92+P*~LQtp|NtV16c+EJT$;8UhE?%R>}V^EEo=IA?93){nod
zIxmevBF6KyxRp?6=7!bxb#3UGVhnl7BZKw_yEa8fE1{|ljev;VkN4&KjjmS}yYYNj
zFp!y4Li2d<mme*4VLgWNx%DAg<X8Mh00|ROPrqPO8j~K##dHdPAC^U@E>8%@suI!Z
zow<uAKI(zBrM-QPgB*g(D`a;8BHD4czWFy!AGiuDwWQnSQ0uqfjH-P~NLusfJ|-Ij
zFbF*_7EY8$y2K9&bDm15fNSU8J03&myz#U4y1zU!PI3yO?NUVP(Oz|mZH5p;Yy_Ho
zdGs>n!l%QWifCSKvezTX2o{z<83k9%qm~n2)0AZuP}3BL##<2#(k^*zkH3{iJb%=k
zY=q>IEul-L<{1V&tGB*XKafWn-6e%jmu1oB`NElY9Kew2Vy}^#JSwS5eERQ=47&a@
zlO@9#pj(QiazC#;s-N>UtMrjZrgWn<%pL&#+jXaoK9fWHtUgKFic6uRq#ItXApq0&
zhR6Jga%jN6ZCSoc0&(Qjv9HGfP_2~R)iPv}09(7(3ZFO%Zl5HtM*~E<H%4AqlR;;@
z4W0!Sh#=jf9MY{IfOG9fSZ(*oph^6mijSv-&@_+!dg57tI$OjeeMcJ2<d((98VaCl
z^TI(LGk^fX@g0d)DReInTc_CaBWA|Z@?sHyg;k!n0ZdXT>GXdfnuA9NPc1ea9>n1M
zxbG9ey^?63b#2BADPGhjZjY5;#9-uJdtZI91agtD8!P{YL*YG(T@9PNbNB0X?%H5+
z)aXX)dezR2R?eJr&I~mI^f=6&mO~7+mYG!tOmiWZD{n_QX^cRhU!T<fLIi2DcC6SW
zaw65te+~^d3?a-bXhhUm7|}~U7GF-`K>0rJ#-(@X^y@u)*0>dg&_dM*vA?tIsOnVK
zr1J#>*oktobYc-iQU~^mv&OL_!bRQKknj3H>)AL>p%XxIeZ4OPec4ga{u}kj9Q8pw
zZ$kG7o`8bdqv{?cv!l*S9t98j^<ZOuZzC`8qX1in$S3pc2)8xzWag+IEUi5>j=#-^
zhIr^%n67i6lOOJ#uj<x?oN?d&)G0i&!fkn(YI34m%N=XM$8^EgNO<v!Js$n^H_Iy`
zaG^qyt7Yn-4qWgdUF`V9iwv)7*k$6lQMJU7lg$|&aG&Bmw4KI_L}H%VG#7EB*e`2g
z^h?^%W!mJ{aDo?|i_m6{u*D(6jV1HdP;Dr(OU#N<<3&3sE8{7gJc##*1-~!9Hl$I_
zqF#&gBAY`K^f3cGC^$_^r>;~BYJ3brsw8<4d+PBhyVtyEe=gmyvb7dWwsg7i>hq%h
z?=V}LheyJdziK&FDG;b&rey8Oi^7+#5<h11q2;>7H*a$&;B_Qkn&Sm8;%8o|?0mtG
z=nJ(~<E<&+cbjDMhYpWcdb)^mp9v_f_rCi8T0o`0GBX9ne#Yc<T)?A&)a-|%+XAQr
z<F9jQBEyY{*NRT_c(nK}f`Ji)kbghE(fke>Oy2$%8WO^X3L?b{`0fd#M_GNOy{E}=
zr;K)mU4|dI50CF6X1D*{qwWoo$WX@U`gwkMmu>1_EQSKakk$9dFIC)R5PjzDw_Qj;
zU-~Qz;%IjJl-kLgxS<JqT72E{(E>;&O!Zn>y96Q}|79$^s0ruGShiNK3!?0mM(fUe
zNmP5rxJqVsy=5)q<Gv6fbUp6XbN+BCG_0Pm6|$)bO%ihzv8lqyz-v_9{j4-93=r8z
z$47=wpT4(n)`*~qR?q5vRx(I1V?80tfDBz{zgCPbiz1V<8v_H{vgkI<_K*9K!E~^F
zA5~8rHFb-ac1X#g+j0E9y>H2IKFp-}_I?ROVm_yD$0m>5%ySpmxhU|oUe3aPT>{0v
z`l3f#kVnq?1=DO-C{Rm7@yU5Ei4vanJPZD)fDY0~nusq@;LwZN_9j;;G}Lq^Xf;_8
z%{YdZ9=xgrb3ceUT48BKJaPH$;6WwS(VF>652p=@m->#Vf00J-B9E*J{Zc}E={|?Z
zS8Kxod*+qJ+cKy?R6zgoB_g_2aF3<UUk5H}Zp7Zzltss#r@0HeiHN3)-Q|R?E@b;|
z4#@S(BJSjJg=$V^WOl<R^fZeeM2ZZb%k`B*m&*7qU}DPX7~WB~YfKMRl#VcV{*^;k
z4<1wUcZjISeE*bejXp><<WI-@%A@L_M#sovB1$^BNA5tn0hrY>#eD6ONADRP9s8q5
zL>Ys6PueaR!v5(~4}S?MpenIk%c{#tDEHNayW;vrAm^W48)mM6Zc>_5Y!emH#VbxZ
zr5i@z^w@x}-A(~<s=uxk2vb1m0$Dsdg&0`qP5r5~RzM*JSP6}lJmO>D`+HR!z}oK7
zy%Bi@^q@b!%5hT`g$*QWoOS|Wy^|PNGQP_l65cK}RR*P3yy#L)0wC9YEVH{QkKzPd
zX0;@x(fP~nrgas&x;@5su#-+6CH<}CwtFUtWP{DSetrVT%eZ<m+eZ$yF$Xvw*O5SZ
zJrdg+odE7Vg5txwzQK<TrxH{kir%Onu+D4&=nW+M|6`Ly#I#=rIBA5@nw{JImNx*M
z49l@^Ol8n<%QH+Ru>uHg%V;!b0QBu4sy6xWa^Iw>X4aA)C0Oc>E?)u=B01FzXGx()
z?Oqv~2l0rg+htz67l1BczfDNJBue27mr#u1L4C%~)rqVC7s5?Uf6PfB<Lz(dBaAo{
z|4X_q=>Z03T5P>(`6bXs`o(kiL%EP&+<2n7AO<XdCVu23h@t6}kH#Ke9H@ozXeA=i
z2>!k%lICbd(M)mB>_7t>I+(^=rb%xEr!RDu*u@B=(T#Sxuv@Ii_u>5ndVfPO=1@^7
zkrzTH<7KoSc`WE0^H<N);|3tfStPVLB7ja^a6KHy!-DE^mEXD?Hh^|oG5zS$UH>hc
zV*nj{&_HO(F^)QYkY0Il*zqAh;%6xH^4VR_8)mGQR@DcM15=mA3wHgdIo|I*8w+ZW
zKC*3=s|P!;6FH<?@W|MwqV0V!3;K3woV<?L1B>@`RkJL3q!#*1bxfQU$>5pzAK%f1
zXx2EddN*F=Q1j?@z%N#ms=rh8m{}JL#MwUb4e}uQ@Kv3f2{u&5$gHw2QU`3mHXKp*
z<UvlnapLc{*wOh!1KEx}I<WHupKprW&AV&p`=h#?sBYb%E%>fB1W5gfyx)aGc-l8@
z>uFr*mK^+-AfyeF1<hveML1+t+c$D1mK(9%Q9Fe_(}G%#O|A8G9Lnb-L{LuQ(A)(5
zXq%B1(40E+E<X#0ro(t&?P&9$iDpsL;C>2t9?xtas>GqhU0CkO@gjYvu%UZbDbVHc
z^o;m44&i25wKC=KXu48>;2}bR=AV_ZEK0j^iN?Dh*XBd73Tf!gKazoEiazULI1h3S
z{OQ_qiXXMJK6w4`8X4+OK5#2u;6WQdep;m`5D<s*Sml>pJ(t$WJ<E2H7Zv}K8MOZ@
zfV#yd?Om5Nfth$&?kGJT1=xq07OM*(T+B88-Zz@C-m{o|>p33j`*SS(%N0h6o@(hI
zqBMa|{KxUf9(?F|RjckJ8Bx^h#M$-5SrdNyZA(;Z^P@<y4@aNWh@tZ2)Z97~O?Z3t
zL20)z0Zklx-s(Y?K=G%Qn5@+`A;_;gVU||_rFp)PFv3fsgX;dZE=ro9Fm}LtN?Z_W
z8_VnN+m=KOk^k1dscFLZq8*6Cgi!h7s?OsDDfB-80096043}v<6kHUCEn~?#W8c?d
zW~?*zea;}Ih!!NGsH7xILYsurLPV&fQV}WMl%>?15T#IALUu_>X|W{RJ74dI`@83N
z&iy~<nV?!sJh3;1*F7SEF%gQmR>XLt(wHWWM+wi(2O7f#AKB^^RZ6I#7`7xbO2&o8
z%e^-;jiD%=FzGI?f;p00f*zl>up;PiO-Y9_@H5t2;*M5D-seB#oxf<~y@3bGB2*JF
zj4QM*J*b9%-r0OF9HZd+b6TO9=S)D=HOoZOLLHZ`c1NTPQjuq73uT<w6iz0ph_RN`
z(fm}w{sS#EJZj7|i%2zv-q2fLVjDH^x8AK8s}dcgrwQ$`)H8!KC1dfo(={<rDqPj{
zfG$4gH%#g6HG`ym&xGB!kWr`GsK-@J4?`mD@9n>44%TzmtqN4MkU8`w)S_4qFAp<h
zgCZ>8dQn(Y(nl@Kk$8QrTv#7>cO7g<+-M1IFSD;4PtnHubG|8kcKWE$zA~|yX$3oF
zlC5Xx6l|DzGnL6XKR=YFdfM0;-V1C{H>{<gv##~AA%1=I*yHxjUB?Ctc?30%+fvcw
zw9%;dMLi52EBmCcY75mnj^B^GM#Z(+U(X!*s*BBJUa?mqcJP+>bMVY3D)PDrYWyJR
z;-}^Nxp%(XL1ER_=Ly0zoL>rOWqhOI&9kv)u{BJPZ4k&<N1|a4QAYIWO)7TgL^<kP
z0W`87wQZlKqMz&8<N^~4dP-#f$w&rZYBybeR7pi@UUS9CJ6afiqHIl1Bf$NiaVyNc
zsTgoyK>oxEGKz;~Z~r#~;P=#u_sK^JI!;LOtPRk>8!qXAr=(dhv&UiEFBS!tHeL+3
zf2xLqA;a}Wnk?v+?C3W?uZ>3<{$;hVQo%OCA{J4D1>@_!xJNc>q56I?%LyAr6x?D8
zT_hGr@A0Si{~+U=DhDq@kR1M_{o)Uw0w}O$zx}{@$Bhy1b)&7)sCIny_M@)>!aFO*
zDwH&ld1x2c<WWhKSt&eHkpqyN&Eu4>tATs`_UHQ?AR)2yCZ%I5z|McnbKzF%=)8yE
z>=h)AcV$vS4=Dj?N=01Ba#2I67iO*Q2Sm`RRz}pNgb62#7tK_gRM1)Eg~vxhAxz1s
ziQFv5gt(e*sn11}@vKPfksd`seB~C{zcbDb+}?&J(RM0gnJ<{V%IC-SWcV65Vhc_z
zQ_aLqc{~*odok_;AJ)&Mv%jshg+E<aj!^^U&~4_P^4kFdifaES=6uHnPX1Kvx-TM&
z?YTi?i*W=LvwM-6C~O0L`wUn@?b2BCJ@A@%FabAw9vKe}vxY*!j{-NVr7&Qf;v2#R
z0wx;FnB4tf1)3+aQ^KA~q6WQz^5-`JJ>Fm2S;evf2bx$mX+Q!8Bw8+!lK4>K<kO<L
z`<B3Cw;^^|Spp9dS5!Z;=SM&Hult^=TEbvhM+-5Qgj<Z%r&mz~5DfLr9WpK8@`HOB
zC6h#~m6LwRFcd`6k6*zkVgZil%t|Yc6LGv}$M;6B6?pg3J?f6r=HU6<P*`7=h!UP#
z)lIGm;j{Ffs4YU~5WCOx9ko{+`}17peF-9{lf<rVId2C1PF$W`>Ebvt>KD^`QWUSJ
zco2Wcn*kIy7t<rf@s4Adc#*a^-Zl)V{c^_??n(QPTE~myns)k0Rs<2jIh;9VV+w1S
zi#EO0;y6B8eYSKP3HON7BV9U8U^{tDAFmh@i-uCY*Z51I*oGetrcoxay2WxlW+M@s
zitCF9LM8EH^mBm)c@wbKVdwDOBci-_?|RQPDXh8L$~{+a3<i>i`{NWy7`ZQ3>2|#|
zmi5L=q#ZN{OHseH?kgl*aX5(biqp@RO<L(@hQ_dcSf*W>A%ULKbGA={<#0}2XHUqa
z5p<sXS+lQ40wwOq^ab|Hquy_lQ$wW@+!fu#y^t-58Qg9DDV+JDnjh*LPd0*IfqP2?
z_DJDBfy~}EK4s*I8FIWBXaquGIt3l>(l{Od!}!8e6&$HwqmZ?lbASBnkvlFjct6*4
zVyBZD9t>`>Z?`aln#oNf)mvpzWl=Zsw52+JW_(|CF*SmSG@3UhQ4ZIsXQ@9j*TC4?
zy#z_75g3N19R9_YNBf;k-6YV&b^pvfT)d3HG9|-nn5c+upa02hT~9^><;P$UX9Tug
zeNo2`DxvZ_Vs?A577}8CKFg^~R={2N-=s2rAo?-YPif;y5&6rbJjM{wD|Ji!h$?z2
zz6iE2pkRHC?|I$r#xUUb{rb^!YFMwR<aM}?ip5#{Tl?FLAxkLstX_aRk|X!fR`$^F
zy^!eOkdF!6e)rG!l&uE#Ga8~-kLuuI4V$ReITQGNFy-=PPHq@REb0aH>tbF%d8F%}
zDSY5v_mFo{6O%17nkt{^q3q)t$2-wxuyVWfr*9w0_*<BwHE>KHHM4%S+j*KpD!qA^
zV1*V|=6EbA$r>Q#u60buDht?<=ihOIQ;+Sasbfu?0dB4i7^-!)1cJpWhg&Wby!MDH
ze)K;B6ji!1zjw105Ra_dR?S64=K#|hnF0fpn0=7ru-_V*4|R*}<8Wc-Xq80$W&<pX
z>YC_FwgC$ZZ1Ew}aPXSw^y>zFeByUyRN<N}*caU#*?pFV5`n{2)02AmD^##8=&l{;
zY>O@X`<8|#f{iL4I(2dT8hd}~LME6@Y}>2zn}(4?=l*^>u7e*1EROfB1mHDf#0!6?
z;eD)j*f&GP)?c3oT8cQ|j{Do}Go<0_*p;@QIeAYR<JJ;b1aJ}$<IUVh!<M%hl(hX?
z=+;<a)osfH-j})01v%WAOZnY@@|-5#ye@WR^IjG#zj6tw;_&53=h)33x7AVVJfH2>
zBo;ir-}%n$8U=SW1$nMXQ$-Q!RV!o8u|TbtDb@E%8&4GIoT4o#V#cF&JYDe|zU-->
zr1Wdy_=Df)B5uf`Np2`NIfw-v=Y6FjhRL|)x{vsi6lrw&E5X0Xjs@T4l5W)YXyWn3
zt<fq?66nX{{`%Ak7HFqsES!0xf%TowWaE8^c=pV$u#qN!sy3sD<2CAdc^g#foD{)<
zuO+gPi2yh0%g+Yyt6}D%##-?uK`h+?Y#9rHjsB<fAFoqIzDfoqOoktGD*u>Hv@oGI
zAhln0gEHEDt99<H<3;HO#i|(!6aIC2f0zwXMAw~_0&{=4(QCa-ZNX7Huqw75(Yz^-
zo}Js>PZn~aOJly@$U9qTjxleInUzH$;lJAspIBx~J5r<cwQWIZNBo(Odu32-x`4Mc
zY>EBX=*Ox1hi$;wnb5SITN=ai8(Pb`me|sP79FeFtiexiOL=6KB!*1c9W_#1Vh_<<
z3a{&1Lsxou<wTkUDjiv?Yg4kst}i2zjn7)aEU&|6t1~1_@}JMl&0l6)MhmmNCM@CM
z1UE6}CK2-p4;$v9x$vvto}sntEg`<^;IMe5IBtDmrM=pb8*`NFbnPBnz?BzqY_|Y0
zyqkW=<r;$rC)X)@yHPBF+;(Z4-$@iLO2*wz+VJ9kya%l=<(Najclnege-TWnTFE#S
zK)@XvUQ{r|%whA@<r{h>!YK3lrWh%o4|&vTkLo9z!2^xeFOSoNaqG<bFFybH(P``v
zIiH`y5ox<e79B!3%+Hm*Zm%F}4Gnb{o;C$NmFDqP_k=LIaMChpdIgqci??kdnS$q$
zo6et0g^=e?p?bk3VYKW>&FsBu0<~ki`7eGH!d=WHp~K#yXm+Zc;$dh4-L{(!sv8O;
zbs^5<p_w?AwzqDWdSMLKCTfxeMZ#G3YVDWGOGJ!ZcXseMC&$d`$=qkwh~V&PD@Xn!
z5_;{{;LhYVhT54Z_c)R$p6tp^Naf6@ZQ`nC?Yl;h{E0{6_>w4wm0d3^S(e1AriMuY
zZzEXk>b<3jB#w^HG)5bprP1((U(8KWBWUxzobp|Zh|?Q`wAU2NV8%<;4+mc{fdABq
z{_;*DT0IYw&(e^?zv-p(5-AL5JU~~w%i)x`f4kj$xjY6NW~8ckGoak_VY7FX1SSe|
z`4##rqD1#q<IM&PSlO34yK#pk`UDA8WNItp?MSC5Iid_$A{`Sk36{dT@ImtfD^xKg
zXM<A5EFC7I=>iuLrBP*J=(Ka98ulFBzO4F#4n@Ci-TPZ1gQKEq(S7Oa*f%?tUi^y=
z29dp|y13-f-D*mf|DFc!3mdep=Vd^KcoZWhKpqn>&J(}3YvS@5iN-E12J9&RRXX%h
z0c&UK4^aiR(EeY#VF>5_Qq_`Y-h?P&^!y9kMn`RAbtc`Gyv~5jNQqCBQo*MuqHhT&
zQ*c~E`^KJm1{`}jw4(W)DpvDI7jJK&;^oz)Yk2n=fuFSE^0s$snBE(+iz%sti=`h{
zt)DT15!cNupIUWX_i*!)*m_+&!fdfk%`t|siKd|yk2R3s6meZ6UJnZ$GODvTnZQq1
z>t&@1O)OE|q+fMKADfmc`Wtji!Ebc(N_jaM12$16C2|b#b8jE3PQeTc?KVtpEY(6Q
z=K~}Eg&5+G9?b_EHO(Pk=Ze?2TiW>k^;+R}0Xi<tPHke?TR^H|lS$Wk3OYzcE}pZd
zqiR@*=18O^7<?iPa_yy}i~>n^(uIy<;U<itax2)OL>c=_r(toe**7H%I&L`p?@HXf
zH6-ZsCYturFsA(G+M+2#OjSLk1&+4BstO)(3(~>)!uJVzWJ8P{@VNas$qrPM)}C44
ztb<(d$N!V(Ho%m@nW5QACiHbAS@8+!;=-SUpO#bg(A?)OnJ1XTmlZyf4hp*Hvmv})
z?t=~%v?>lMeFhk~@Vwe|K?kqIKD>Kpl#07ayQAmaSP))W@bze^4!TzDyim;Hz(vy?
zOu1Vu@ULM+x|r&qz{XqE&ojs<``xH`dXNR;i&d5D(`a}te>WGwLj$jVdv2`2Zx1^Q
zFLYh3r{aG4w{wlkYWUFS)`Yl}Jy`3t$60)!;5xEbh{>EHs-0g~4<hz35LMr<)}oD>
zM6=<gf3i4Jd%>vwCkw3AbZ!)I`XVgURmQhb3TwkP^2zla-f0r|+MXceowvSh8&ML{
z6>blaPjmc8jro-7qKV#2KdGynJWJib>~PMW1slwU&e}<8pn%T~gUV<DJU^gSwD=pq
zdfg7q$GvLUC+u~0%$FC-=F?O@=5jd8x_yVaMHMf#e=v6B<-(Drr^TlB05ZuAY=5FM
zN)9dkeemcXTZzo<PkqINfy+D=Z-x|bUBEM!&ionnRe{si--MZvtKk2DzfBGoWlubR
zQTT`b>2&M*Qdc`r(wHY&kI5kMj&X2n-Y>QvSLf3cX|`};&VXmPnlyIB9B^E{<0t#U
zqn4Gq9X4>@vd{NyoFrc0Z+a+SI?0wXv7Y{*Yy-Qu+?;M9NFaX(%4$|lvRV5CU0w%U
z!*~nfOnE60XISn}l)Zkk2mRjP@2s{0y8XJ4uq82czmoX-mB}ym*ToO*#$p^#aW&GL
z9}&S~s;+cLz;CuUpRy}=kR_PzvETbrL>T|;vIrP_|A&2>Ygh2vdJE|N(RIZoY6b2m
z=St_rPP0v^Gt&~<77$+dP_ai|5EI2JwGOYFWv70gq-{9I@e$p(SL<f@5xTM_oY&5=
zHOdQ2xn|8^%O~H>(SrQwC8>A(*WP({MAm<elDo{{oudC_##%m%3=EmoyuZkP^52*D
ziQT5~?a%=6Zw&#tySulg3UZ<NC!Tk%>rG)IX=PEfHvwZpW2(y6aO2PCXUjsGO`sq&
zH$GjJfC{2JcYEdWV4>IF^buDR;EsymmJ=c1js5RNUl9oS;73nr^?PGjdHeOl^U4Iw
z*YSVwB90H)6|wApKE`k?_NwxU4Ft51QjFS862L}bS%b%4jo>WN0osZPSb0PC5urv9
zl|I!3l8zX`+NcK(sKJN#zFU|3oe)BumjZv)C5>PqNHDmsh7U<jJ>7mm94;kIpOq<P
zfM1R38Oa!awEOp*ZV)PlW8Xi@klh(Tawgea-6Vj~$s$*!T!~m$Ne($XLx(tPxX!y#
z5G4-(Y6yuY;hp2l%a`-%kS%t&SK+`46!0^!o~@L?>gb}MWt-?gOQWbQRSBW+%;}y>
zL@AtJ|829aC>`Vz8U=+lMX+mg&=dOvX+%DczSEZsA*{VdqqkfX&&^V3gCtoz!ZFN7
ziXjYnhU(hy6G#8YFBd(Y$)VQzxU~ER0~oxU*Lw915l>SSQud!wK$%^y^y;GxAXo3x
z@>CfKyFzkonxmD__c48~f~^7IzG1Q2w-V?Qe7^F{DHYslw^6oF&H#KK&p2tU;BalF
zuE(RTY8ZG97B7k#z|)1k+cY0(yl`b~Tk2_bw5{c_)lxA4&rrTc?Ts>6pE4D=zEK0G
z(Ixzas{#D!cYZzNCWjeLV&l7H$VktPMd9lPu&e5q6nRP>>+UH>=S68@o>MttM9vTb
zgn1gX9x7stfmWWth&EQd=fk)fL)i83E4O&MGRAFqlF;Bo#n-dd3b$9$Vd(WT<zBKX
zW@+5oGWwB*rD)jH*F=Yfy19KLZ`5%9{KqmaKaTHkIUbPS!+?=c_xg{6>X<k9iPZT~
z4?~5AHabu^yzA}J@><fsc3+=!4_pi|$&$oc;Or-of6?ff1{tSKe)M$}7-D5iRfr`w
z$FqF3!ym5E!pOvlgnj$zXj08ZmR2=|wEopI0ukD%SmGnU^oNd~uB(LOea)ck(*B9!
z3<^H${G7FZ3j=rEj-xG9n1j=v;<HbRsAv^hXpwY<f%M9=J2&W9f|_fN(zSauES%nN
zE&Cq>MTg(YM3h;9nekz^agGkg&3MSgTx4Kpyu-hpEE{lI8Y))^(8bEG-$g}^3|#%F
zbK!WKE!gh&ERiSZp=nfgTUQMo{a4az>wTEOjJ|UzC0Y+vUqHiui-yQ_y?K=t1TfX|
ze(qC+9=<IZD{fXYz?Q=n^Rh%1OfWSxr8s^#<QiVW{G^LDUH2NvH(3x*o82{aMh_Es
z99tcB(eUnrn-<DS_E47fR_(a59{Sg*u6$CZjd{F-$RA@5WF8m3;b>h<`C8|@?T;p=
zU)y;(<dHpaMgC0Nl&6FJ@(19pKF2?5htBM7w}-mFQ*9ktG&HT=Cbn;02`!Bl3gSBL
zL3V2eJl;*k9l4u4D#m4zjs*nYXZG-=OI<@>iGuyah|dRBO5zRf@WSx(_R!dux#oVg
z7H(1Uq(8S2!(n3TjyzX;pt|H=yX?&2=$cbG*-QMGX_c|@{Q?V&T6*1HwQ1nPS9w>D
zwsWEWug5=LU1x!;(fRN8{^}?z(BdZ)GRwZ~-S?x<h6OkL$?e*oRMEJ1<&6ZVAMCf;
zzs`MW19)mi+ZwE)j6cqt6bWGtu^TjX2W)l&1j*f2SBzIc$GYx+&$c(SkES((*DMpL
z(uGP~{Bp?ETwSX5ESz04Cnl|~$^?T_$8_FD(m2}u_|q4iI_CU^RoX9|?Lcn-)5-&B
zl2|cu|75gxE3+eXqAEAW7SyAyWLIAzVg2Z^+2iu}Op}bXgApY*aG94;SC%J^^Q{q&
zJ)GN^Ja(^4anu@MTSu8wpa@ROXQ}_3e#g9gk{<DxYz^-G)^6NKS72k)zCY_Xw=f61
zqr7$pTfwEK^*e8l@#6@e+KZ2w4a{`Dxwqxzmf-!MMtf5p0ojs1$G${9X1;G~^@!rN
zgzy`tQo~nx@XhD4GBQ^db2&ZP?#N~fh`k=!^S6f!Cw`tjed2E!du@dDp3Dd4@OF`6
zoz3wveHA{<2Ge@>8j-w#(<F1)wmbO99?}APzN<9$w(?tcCSmKMPLvsVN`^XJ@0nxY
z^Sd`FVAjbNTUS=#+-C~mV#0Hx%d_m=U)nDn*wV{RF!g!)#Mu-&y({yX2WQy#{P$l8
za~NXh$`c}e9-9E^khO4<#WXu}EX84H>nHXq$CK6k9N(ET&MKd^n_~ZJDJsoAHpYIs
zCN|<)p)p)N`#te+!XLI^Y36@2MdR$5U-(OiYz#7^4cDJ={b9Sci^h<Kzq3Wv_B1kX
z89{=XWg_{(Z}#3T4}33Y|70`$#?CHt@<;3O@WI}U-|YN5*Cvmx{ms@X^?nw>;ZcHv
ztmu>c-)uGGS~)l36ni>7zS6~t0Rv^1wm|Q1HdL)rnEE=+9?k21@ZU>1IENOwowNJH
z9`B8KpWi#ne)j0+kK`?M2swEw*Yo8c_Aa9i&z^}nHZNntn@a<R(BCiNKNd5^uG@Ox
z!cNr%HpR5newJtm2e$owMRcEL|KuI__m5p-(~Rm}4V(?YgrEM2wr+;4SUSH^={OhC
z&!`ezlJ$W%eP@KwfmyaMwh0gRa^r$XnAYwVJ;)yYA|_b(mmO)OlpyWNiw)zEn+g>5
z;KGsRy;C;-*p^y7Y2uRveD2zmXA!0g@3n0HQ~ET|w(`)h@Vm>8(@GXkx4+SWO10lT
z&QBKELq@vkZK;Cj#`j$zhOPt4I`rA+FP7Qnnw!@oUll@0k)1og=F%Xp_b>l#UT#z;
zrTPqf6v4wc-@LMupuv&FC<`fj9*q1RzdL!IIF9ZmEU2ebp|dOXT*h@?EOpr;35!J3
z;I`BbRG>o5=aS|obv`_(n)K&ngaqDtzA&_Wp8}cZiiK~#<j1Igj_3P1oD3_c`Rck;
zKz92i%{@mDcQkreQyZkQNq>8-*RnR$>hdjFWeQ>Mv0Y`}#j<FTEGfZyrVZrIWOovB
z_Kzpy$-&j~s9QnaIG3sor@RaXAF7IDT<Ljj=8Pgz4HW4!k=oGOw2ge}BN0ERyc)U?
zsDi`scPdoFv>~#l$7u6P2{cMjbsmXV!!iMC>%d8E2$8sKq1P&j_l=sVn<v!qX;H~_
zMvXRnA*ydvI4q5ClCB>r4%ftvE=EqN6a_9O`@Z2`D~oII7M*S+Y2mn8x<cMX3b0ry
zH;#fl_8pOIYJIJZf-5N8KOL!%yIETGnXe+Mu0Qem{Z)=X5(0aHMgx1>MyA(wWvrC@
zbn#fC4vvNA<+7c1;H}WpSMhvmxS8btqVA9$N@)wc;kmC1>-Pw_-*Z*RznMDD5wQmN
zFtXa{*;aihw>fdmwon6gb8lPj<@jC8Vkgh~ZHDk-xQ*H=PR5<@mNOZ~4D|HWRFUYX
zL+aJ2LkkI7XmoHb)lSI>1Nxl4eYG-z>U#khUzW6S<ciyA+wVqrVJ5aYz0nwEX@(5H
zLsWD<G!T(=#TfTCggqZUVG74D|F+HfLBnjHh+}bzCRi2pG*>a$95xaE?O4A-7ghEi
z-sQX91UI+$bsKYh^P!Q&hUv?Cn6F+~BN1SNw?yJRa<i;qqt~c9;i*1`(Nw=*kut%<
zYknTleZk4+SXHHx5(9*{_PVZ-#>g1FmX`gU2~IuV8Z!M1(JU!2RO+Y^u1uR(W-bA=
z2)(}F^wJP-WhH2AGGky+P>#^QA1qkueCbZ<h#`)cf7CYLV2E2bac!(*+rye;b1AQj
z4KaPKf+*#cF0S43wySry1E}7*Y3;3Sh(dji`&Q0U@QT}=_iINTAWKTV@PM5G>YVK}
z;o>KwkG^}~M<Yk5n6`d8Af=C!v}1piRn)MfW1~dy21gjSn|>2itcy3+Bt(`q%3=17
z!`0EN9ARO$FpXbW2cIw*ZCqbS=<)SUX0og!2%1&rk2p}Vk<h(e?u-D=&3Z04y>fuG
z;D%#90oo{*sZQ^HKgXuD#WX(-bb#yf2X4_K$yj49duC7b06T!%Eu8n=9*)%}UTcik
zz+0Yvv)MU4Oj7fw`p+TuVEJ`J8h?%&-pRJ!J!JWtd2K}p{nTd`h)pN1dv;hE>&T*p
zjw<s^t2Vw~A3qjk+vYNQf6L>JME@z?9xf=FYI<k&0U)0EBuYI`22D@6C|ok&1wqBH
zUNRd2_Fpo)qnjX!A!)%UW1bLz7wU-a1x&Dr=9l|*i->L(*5v78KHwjbudpby0}t-*
zf@nbzOt~fq<{JF)QKhdkvfdU-{)me*K>&4zw}o)A_~A8G_B!u~4P>6_wtG3jgNYsd
z9)0Tk5I0kooFQxj4_F;Plf{?V@8XY&XZP?y$vsKpRa<MQ9_MD+OU|+>Nw@jxj_|<|
z*L&&-F;;N=<OEf?{U_VOG2xw$3?E!qKG%Qqi6yk3In3%g{+WG7n)Jcr0Re(<?0px=
zZwY_q@<pW-yV<kbbiJtF1ZYh-=x)N{@}T3BsZ~Bt*`Kq<@>Y=uu+{R^`K&T?=nd7K
z3Q~H`yy5aQ;QRnD-0e&|t0Zm?Q{_o8+1AN?f9k-~tBt&{S@q?e-H~Qcv@<x|_2Uq8
zWA+fY+8bU7R{5K&$KkS_iM+N=<rp*J{KE-}NnUV0I3h}QF@>8i|3(bRerIacr8mto
z2vEW`p-n*(keJ$XtVHM+GbNeKSsw_Xjuba;OA|23Q^}tS_`_`P{^ZM0;)CvAwz4@D
z#xQv4g~^I*(@ciq$+Ph<_`v^6`<_k<WB4Bc0RR6Cmv=PQZy3hyy*IDDy|&kuzV~aC
zJsXIUj0#aAnMs2bmCTU*kR+iZMej{gY1o^R63Hk^N$Tg{=RD^*_jB%ZUDxL_Zysp!
zeg2b3gVBnG%PepJ>^W*^dT`7%ZK!#Am6((kXS;No6_S6IJIdMXf#tcAgIk#Y5U%TW
zlQ)alK(lC4TYFR&0`^}%Q>glvFlp}3uYSi47o_s8PlxHkkMU-^SPeRGXphx(wc~`<
zi~@N-c3se7KhBryL=QuD1zXQdaKVpjn*ZSq9f)3hnY0|w08uLDV=1LPaOu@(wT`_G
zBy7uZe%j0ka$Z88Lml|w@b01K!_(T3(;9fth@TlYuUTX$`tn2CyNe0&R@$KPeta=B
zmIXegN|G1T1>jKd;V}B!T3{AsHGbhAE9k}CV2KzJgw5Pn6R7f9z%3Q*(pt<8N5_?$
z4_OJrZ+@jsTgo&+;N1g0@Z*G3uCesGHzM%<#qR)nBTX=&W-@Qx$_-+L_Zx&`#URCX
zS^e3t23%hzDapC>g1yJ9=^%Rv$iMHcd?Z~1LZbu}GTQh+o~Lrwhbjp(!PH^rof_a~
zO5)zK!VgouN8F-!O9St3T4IBt2K4uzzqbtpA^A>5&^K3EP|#|w_SV(_zjf9o+fpG&
zxqZe<DOC={dJoC%w9<gF)gbk31rgw<8@b%yCl4{KKWbEuYk>PynoAr_6e=e7*PhW=
z1b$ruUhLL@x3$ultI^_6*K|ur`i2sGI5_VW<)#T;l{OKTE+o)QH0!%ZR)Ny}eeBG1
zTHwMJ&QP&M3ML+(Jm%k|3hzz~{tbVp1sP1*e!IP7AV>1)5RV5LQWBprO#jdZez8SG
zt*5f^->Ygx#b4?$t7cMbQK|zcuR5sl%*sK<Ex)DUEKN{qVmDwtqzhh$N#8$;D}bNv
zQ>I~MZBTR%69O+i2-y};%HXC5N%D-OMi(8hJC``Q^&kaaao+jWpRNRf*YAJV`lADh
zyJ`eZ7wH3)R&{RRr80D#N~_99*M+evv24B-17NP+_2)RFDtyscO5mW=gXK#mB3_4#
zKw7VT*hE_m3XeY?yl$fhCn^d~_A{8kU*CNBnyqB0Vd#GTz*i3rC)JL%RGC79W60@F
zD|J{Q4$QPt_26@A)evdlCQ!R5_SHmM1NeE{I#{Q5q4cWtmNyccAyeuz@4c5AaFZ+*
zyw^z=xPPV>Xgni;>(K|gJJy;od3e^jKUxQb7HtB(Zv(s+Tqz$ttqCZ0o#S=C794-*
zIWOQ(g<oS&4%MI4gf~~(-f?(pfc=+EVomfG5F#)s^~**RBti|U6)&m57j|3K^GOy^
z@1HC;@<Ib7YE-WL&QXSUq8Yv0CM=-%>9Z1fZViZy_cPd<ssPOy`hqBF2_jF9MgI_0
z2QyRU{ge~3py|--;A&(E`NgfZ;osEYq51qDJ2DBH^X49E>si7z*Q>`AN>qW1<yg4U
z17TS0JeKy1&k`2%XOoUlR6yUL-!kSIAH1BS_uoEf0am~N-CD0!g7qL7ne;w3;A_5r
zC;XfRJo$OxlZdn;_)$Bw>0IeSO0`+BOv?g#zi+kQo+=OfZ`SU%WnLjpjno}bdQOEG
zNs}boU$S7C^hl!rz%)^N{v&<97Zt8e<ir(EO2hYt1Wz*KD}tWs)HaUK07F|VcJeHf
zfQRf~6;jwvb9P&c8i@orsqj0eSWO%>?v39pl6p%sw=1_CWB{;ARSg(O6M;}JPRf(}
zQ?!)6e%ma00;;RV{MDs|;27&C_DSJcT9<aWm$KDncx5jix9=T4Xtc0BvMidT@hR*O
zJQi#Y4UBEFwPn0exO8LCsdk=r_>9#)nY>NFu^Pd4Zk`iDd2eJfmCn<=RbH0)yf%Y|
zD4*@TnQV|JCP}k+JV)cGQQk#iGXu@u(Z$D?m?8YysM9sGFSO@AOypQwQ@A#}d~?%B
z26)S#{XN&=GmVQupKbM`2?U$jMU|hTgJ+D!N^_#qG?#s1c>!;YVIWNHS<UbtBH@y2
z-rS>)v<soT-$d#fgH^4btd-^}@fEDhJDn$KJ!aOA-lZCW{qb|FZ-4$EcFuhbseAE`
z7HQ+O&u7{Y29Mm{{zh||Sc>LbALALNT{u0iP;F}n#{0}G|33Lj>`mhB`ja?7EAz3{
z%c(Jdm)_oYw0-9Zf$s)Mg(^L?mcEFyA4mq!QERV2>i$f;dR?DaB=U+D<~4b2Uz$FM
z7BI#+zW78$t=u}5=GjI&G9#ie_m={a?hNB=#vh4?bvxhjs6V9TkU#YAh@!xlrg;1+
z|0HpJYiY;;&rRBwCq>~WzUe_QUy;O(trG;~jtd=Gb0fGVDo1R>^<Z_jUhq-jI8i6I
zw?VD5f^e?7arW}kMt)gorBs@Y5;+?GEoe<Q5GJCPycW^A@S4}}vzW&)aflA0)sMCi
z(~ftC&FOW4^rhR~^Wz}#xUOD*wym9b9`b%5^nwn&p%dkr>>VI%QYO+<e!L{~-Ax=G
zN$NmGU5O$|a)3zKOF8@XTo-X;=B=yTZfz*rjJ7)W`U$u6O@#{*y~Nb^;5T(CT2Osq
z%I?#Zeqwu)`FKNJKd~Nr=L=(_CMbG@G#`D?PgMI^|8n#iBCOsfxGgSdKz_&i^gf9J
z;^J_!ew+9xp%R-F;7Z=eo%9b(VGRQWU6v$^<LWrk*5Yl(7OW0G*p|BwUKk{}GtIA+
zotPlbT<y8OTtfzxHSX;?SBD6(#4>4$)FhD?t*Y^3O$|tL)pcnT!^D}@w?171ABcez
z1G}&GYH+5>aZzjcC~;LW{g-jw6!FU1^I%7@D)7F%9#J7YPIxf9J{Ep&nh^ZEpd9>L
z1x$A5YWlFhBO2<Dig!<bCfM$;pJ?(>fqVA+B9=uH#BPV~29o6*QJWe>zV%2MoJwxL
z${l`BIC{;!PZ?bxQd-VVDk~^MXWH2W1(Oeins;tt=<rvfQf6gFK0^t17Tb6~qkSZ#
z)W(ZU_Ae10OZ;is{}e$id(iW3_$MMfJY}<<^ml@vnZGCgs3MSerbrSlGX&%PB+K@H
zKZwNp*F8q&6=46}rIXfvvjnBP;&DI!FXG3G=Pvhx6(I8Hp^mXzbHtvypXM~r-$bA5
z<u=lSJZ#^qu`^9?k<j)X`y4v{hY0FPk|syWL)_U4e)#*9DByEFyZ^s`#9_BMb|(6b
z^MgKLTvC>ZUdP<Ba8G*Z6|{UbdPxpyx@%jU&At<#c#o@pU}uB|l`LFVkpm|;^SC6^
z3SrpE;do%03Em%R3oLme3)RG-ttFbjh`Dp;ws)?ufN>)0$L#^KP<hr^>TA?*f+fM>
zxQ97ARJ4l+=5foyn2OO;gY`eevrXGb?Z^q8>&d}}F*0Due2jgd{U1?GbII~K%LDUT
zeRlglOGBu}icfGTJwO|+{l`l_aA?@e|Nfvfm^cQ-N6IpSH0{Kb_i+NSONI5j0lhSw
zKR)`cnT{Er+FhFW_7Vbje%-^D??}PI(Gr_M0ajS}y}jq$ei4|=UF#b-E(N|4k<)d%
z*x`$&M8%_9Vj%fVjlaoX3OGvk-7cEo1ir}C#+|ApP|(b9S&x(gk^I3=<~Ml2p&&vA
zC#679$H4FGJt?s0Blk9s@WJPf{tFkwWZ`36+r`_e(s0e^?0RF005Dx-dYQ{754K&6
zxqf3Cb54HntMC<q+-EWZ^Zg27%w@<GF)9N++cG)R0z_c0RpaVzRDuT~?=;`$$%0wv
z_X`^NVxV--x8_x+3Q#Ouc2&j5f%@Ofck^^47`odSMPnd?Mf?1eXP!J{`I&7=zA6Pp
zkGdXz-mU@HZZ0I5(J2Bq!_pNe16erB;Ounii57&jwB+PJRDznDCpnty<-qnA=~Vdj
z4bCYV-@L0&1$3=#JZfAN;A)-Q$(#?mkatbDe2*s?u1pj)C($WEwVkd{nG6Lcm6}$s
zY}16dt~(-UTa@9*>%znsJADYEqz5_#=|H=M+n=g*RWOJ>H|)8?02ma<41NXZ!O7U&
z{<gcxfa+{NWGRL)JC@=WUZxLxiTW&Wlr*4`>DiX0H-^CRyC@+|)(B*-9&H^N)CAH}
zv{ksM5fu6{2e!O2fgN*BY>WQd&}pRpAal(SK0G`|iQ34!|3>C6aqiZEA7rUf`a_1$
zIU?q`7Dhnfv94mePdae>)$8iZK?Wei7N%?`L51!PqlbnTx*$`zu>I6$3bfhhs=NDJ
zKyAnGvopcEpc>%5qxr8clmxmfuAH$1DM`-lQM+|PTX!Zx^O!c=XmXPkjkMa}PxCHD
zF<oH0UZJvdj0|G89=`BYvWD5qP44Y^I#3(#xUmH#P-pvT>zHW`UT*D;?>n_2=C^J1
zB|cf`$$5UOg=P&|1GNiD0$T8~M}fq-MFfbo$pF(DYdE`KVmg&e1D5k=&hcL60KL|v
z$l6eAFiWpBrSDb)d8&<i)0H2@g?QF;ER5E`v@?%YD?$ZkLSEc(y3$9pbIn>l9%}_e
zDr<`tvl66jx-olzVU5;%&&%cbdrMH&YlO9Id2spsY44m83+7H;I52K*2^FswJbE`K
z&pX|-{mf%7Oyl8D%g(WY@hS&R(hvz28#<>xcktoPR7a<(Whz_|c8T{nDGJ;rFSu6X
z1aN!b?L)`6Qz4-`an<*zAgn8~=Dx@m#M@>ab*qm7s$PzJCI|6?gAzGXV~Y@~nArQu
z>jIbs)*Mkf%?6(gSZ@aw2w~|F57xaN1nkQ^%WDq|VCC1H#8)qb89j4(y?Zu;=l3fg
zmXueCU1vRaxZV&#cAJ$m1;@-m+p1%S%J4iPOD(zVaY6_m4JU|47j1&0r8iCFmj{Ti
zZ(oq+9fh#qPxv<8UNg{7@nF8R_Jmfo*Xq@}xDXy`=PMTxGJ}$g)te{q1C9Ev#z19G
z5ShCdtM>SsLQy^Q%D?!pwE7T!f3*%l>@hvhKUr@A7g{ziUJqZP$%#f7I6M%<12<2m
zKNc~854TIX3_I6os-&)Ob&Z19{&ysFbD}Yb#N74i+)0O1&KEk0y9BXf2U)0l(Fm*t
zvs!gC8E~Cf%)I8WAP&t4RI%+h0?uDgcRT*agzgc49sgMgVe!k>>)9K;bdktVSh~o9
z<9auJ-AaXUhvocEn++X=m(E%l`?F#4t4u9zDPioRt8-@hV*nv4>qBQ1Ij|}sN9x-h
zVGNg+AAfey0GbbXbN@HQiKG_Ml|gS2>`v_pEz>Xno8^cHwP(2T?)`-pennB-Y7^-7
zq*EV?uPB0}J}=T&i-jPw7!E~0*54JQ4<a8kxwb^`;dPcL>1*`jc&7AhVxxvWWXClM
zvbgeN3FX;?H)0Z4*=g5kK23q4e6h#z1_GEfY_m<@j)WFUGuOQ;DIg}Wa6Cg^5C>QJ
zH*;r8;_(T~qU;SG^RUcO__DF5Kj&uIg#Sok(5-{w=N%}J6L#|o&&EH~-EgEQRt9OO
zBAY&IP++R%Myi#j2rf>a475Bai<dLYosNi6;Fmd5?R9%mY|6Yck?JRhuA9#?|KX)T
z_2%Wqf6-!i>c8@#C2M(<-x5L}CPabV@|Li2UmPnh*LWPHC?Nfl&E>7i6j&1(j_+n5
zVfMSQ3n$eSQTY5w#OhWG{CTj}bY_nvMh%U=_fu9vr?tx~62~cUb6a0Y`AaFhHOD+q
zucC~P{OtVHA5oy?^p?wxTV$|r>`HMVSp_RYzJ|#1>O<>bq%(VvEILgO3KyuWB44%#
zcW<OV41ZLdiP4e65o^ommzCAfd5_QZ{GvYatO*3E{FTG*u3cRZMaW2Lei<?pZvbZ`
zlOOJWBaf$O<NQ@CWIRykFMdtN5bXVVWO%PB;JOeuS2(Jpt&COOaGxP~7W)RYhALuL
zM~+fys0N0K+X`MPFoI9wZQ0k1l+c@PbNlU|8rYmr`BFL381DPAxg1$l!dEK4ZRtHU
zkv16~PxUqdrZd@`jdzssNjGa>Oo}GX6Mk_mPNs0?eVX~B9V(b?IpF*>Srb|9tai58
zm_ZiXw)7jbD##Y>+WOpD6XkoNv&*bE!9`B>%Elm7ynRG!PWY7u_Q`pDGzW8N`hHG0
zutOCKjYo$pL^P0<t9I?D-ewrQXXKm8tA<4toFsK+b?mntwUiel;Dh^L@f>|MZ1+j;
zV5K9YW|W(w$t(df=<CpCq=s^mLYg}(Rk4_EI9AdPK(lyUQB6z@$u7CGmo!zd`m3(h
z_hJC|i}LIP{i>+In>JFHsf7Otem}%D0q~=ZJAU}ED)zM-c^6JApn$0P{XiZn&|VbI
z7%ZruU3?KWLSG&keX?82)TwaYC_?_ZqY6fB5(t?;C5!omL?x>+6}SpXJLIk?qx!tS
zz@?{BXnEya**1MDw4F+l^?0g;OkL+Zs;VR~e>#TusT>t}-Ou{=Pbp&S^^>vtUWuaa
z3;KPN^i;42{iY}PTLHPu>w}%Ogz@R+PSKzNfQ$e9e%@tKK#^$wnwTL0%-emkM)o>D
zyqE{P;g!eJ&)$^RzUD&)-CaHd`vA6j9X;qNE{A-@5{y4cJa{R=Jb5D~U?DR*wp&>i
zP0ffhD=kipeyRU0<qiS0S8lC_MM>k|tPev49c*Yd;LBMrO29)F$7-oMNesE)z{xqy
zf;{m*ju5e%K|Ug{;w}>j!%cj@x<oUhI>9l*KV}ZAbKj5K9Tvyn<TtOYjxgbL9D6>R
znFFKAPi5KPqWFGp)5)j~M%){0-kx!F6Wr{0CR<x9g8VCK5t&CBadf;jC-ILN5PG_C
zy#d15&q9OtKt`+&i(cQk#|&a(8Lsx&3Lz)&r%e+%jMy>PcJgkUDRBGUSWa~i#O7=L
z-$wp1;<C;o5q3>eh+NU-P6!o1Ma)Qem&1hkOd|1Kt_cX3k4rD#;z#aX^&i2D8Gnln
zhOe`lKwz#78$ByOnzr{ug<7!SQyy}FRID+)H4ivn8qbHWaaSIUIIv<&Ub36jk`V}6
zCcS;l!-sE{f(;g;*s!$y;<18IBbcG=bRRy#i_G%3<fb08V~MmykmI}|T-d&RdHEL)
zzUMp5)}+9R9!n)j35N}#aP;xV_1ipnTw%psw2TWmytdML{x$$7$QLlV$b-c;EHavw
zJh*<rp@BWc0P@;mI!Q%5czNw~OwC_jT;3y7-YQ`LwQmGdJO+61j0GLXo;f~zJUbrR
zRHqM04X)!8M!e{CRfIm^Ge7Rs-1XSVMIXM9M8&6Dcu`zhS$*qI0ql=YX-`<D08js|
z`2`a`)LETc{UaiTzPq$*KNW2FypF!`qjEl^j%S|BuocF6cA#``_&Kjy+h0c&eiS2|
z0{JeAV33oAW;G)P-YA%qJb1*9B7?%-8DB(E%yhTUdW#-Zv})W|@E1Ul%Sz0=KH`{U
zTq5C;q6cB#VtZc73Zj3Ga?G(Q31pZhxa@c8LEHWJ2Y-JPM7iw44QEbE;;%H0=Qp(V
z;Nh3%dd49kJT}&>_Sjq+6H}E;4F&Xo(+N6Edxeqt+3F!>R#_a}rBpTkPZxX^pVZBM
z5Wy?Y`R8NSWYIytkW#p+3&t-E<m@@b@XZTR+2d<+IQ&qYNTbt(wF~me5nIGjda?X;
z(1!ll`4pylh4moo-rTr-t_1ct2U;nR6mhTgV)A`cJs1h0qsIOtVMQ*J0H?7MdaO68
z$A;^H<}QQB?y*wHc(nb)jF&QY{EFRl^no7udigRmame6GmQeiY2^HiR*Uz32q(F#U
zZv^KKSu`h`CQ-{(QD!2gh3ymt+$)NPuV~5PbY#h{igq;&XHU)?X4l_%=QMv3w>%Dh
z_2h3IBV(O&1s|zgAFeTeU0?VrkG)4PJ`b2wM?JqsEo4svh|`*-qzx$G$CuQ-*Sa+D
z0`n`^NqIx~bJ~_O^^qb<$0?TgT+>9sPEPfs3`Sti+V!TmKnWKVpUSOl)xtL;wtY4$
zMsV-a!m?15GHR<d7|);<wm5SxPOKS2%?zC(TB;!Tlc4Ok4BCiIQ?<xz3hmZDVp{a7
zIA=JoH^-ul^@G;72Q|&WRN#Hy<D05jv_t1a)-x^aGIDbZaoz-#PlKQK8LMH{dZcpz
zRSO4GYduoJ%%Nmk`!=3RHRO5C-V+|7iQ*q_HZGmn3}wRWzfY{H;cRXKSHm6+4D9r*
zy_vq@V>R;oe<_f$=`=@xEvGuZ=8Vr=AOL#GQ#iF%$Y?6K*G4Bn4O8u;BDE?3(ue1E
ztkIJ<@-lUZ^@$2@u|92if{_Z>x@hzv_telNwz_)PCnaQgC4%d=RJd{A-RVw34L6w@
zC-nYMK(Tny<kYy0{$eS7rfg$>x0vHi?f%K3aOlH;!F($0JSUnSJEwwlOO3X3ys{|$
zN{8ZCMuqQ`Fo{NC6-@mU7%(3wi7BNu6xTv3y!@71;Jd*eQ5Q9SxKE2=Wxb`n+bJpt
z-8i`Na)Vcne|hb)yupVe<EIZF@}@#jj&;RBaYg(t;3>7(A%K_obd=w!P~m(9ZTJk6
z0+vfj!bfvHJVciiIXSaY=e;VsgyuK$Lb-nXdm%2Y6bVZ$+sGHX{6lr=gR=Pi?ZK8V
zA2zIE-YKTI4ZwqLvY|0U24y~yDaKCB_{Lv1ONIepD%+_e^Q08!Ocik$jWD3l>JXQX
z7XhXg;rjF!NT}JGPJX^jhpPc!XgO7z;r;=?YYKP8(S56fXQ${t+I{6nz36pwn2rj6
z{qLtJF6h4Y`k}l|W7#!(KfuWxCjNB&yXqr?nR<m&KYp&!f}h0<WEXD&;laC3@>4=6
zrDM809JWSNbpCYv`*$<gE2+APDMJv8>Ic%@qSk2tl&PL%2Q%>24vm-EC4lCavxk^g
z)@bQlB45;%n?mcY(40OSessB;E`ELN56$-^&y|l%rm)UDeb{&>AHIA1c}t(fUz(vo
zNc~!%38<>nkLz>rV$ap-3$msEXvr?+p>nT{VXAQEsci{2-boerb8nzSx}5uaju;t3
zbh#PJSOgcIGN|S|+DMPz^hA6Z%Z=a^m5+`$juTx!IK61?XTa6QEQTpDBM`10GZT5h
zfng<W$|pFOu(&xXUiqRS?4z5tuvGv|K(oK%z~yIZe;)5(Mlm0TszFY}4Z@Nc(Q9Ex
zoBGHJn};l@svyz9aozxGtiL)Hq_U&Y`u)Vy25i`n@U*9&&j3o9^JB8&*wLVo`H}w%
zcKolg_MUsbKA3$@;)%&+$86pHQ2S$?$j)OKQKqU7Vg@Z0-$&W;NWn@f1C<+BKd5e9
z-r!+%rY{n7TR0H!^vG1G@?zPJ(AS~cC~#h#W;ET;fydLjXIygm&|q_#i}R8m@NQNQ
zvP|Pdm%JdJ=ePNhOy{RRo}~xB!$-)!1Gq3N_{NOvfB+^mW~3b;^uR<rr@|zV8~eH}
z<9h{!(3D6X*|w+)as78qkDlkjkGg`Cy&Jqx@l}C?uUr=#wm5wA8s<gscUhqhog(ON
zIFTaluM2)kSs`CG^2_C9YYdN@7?u@JUJ)bf!iuBNz7vuBn9J3_iE~jLTfY{T-u|Tn
zN^$Z3ae4~i=h~+;NjFHi=wmrr-lYSlp4Y0FxC!D8!!@~>I4R`rI}q}@P6u{BaAtY9
zR|uCIGwxI!l0oaz#J1>S9eB7<En}7<j2zyyBnnLy*X1TmqVsj2CNHtZvt0z|-2#H|
z^~>S=@;}S!B|7kT%se1VQVgj(NX0(C<&pViMgFe`8~5*&oF&r4v8iw>8Z<Waef%=9
zcR~kt6d(T-C_utbnN9EC9Z*8!`hqS730-Jss?fw*Nt84`X)I8yjAw6KZayER3x`>L
zUO2a38cF$r*6;sr_zmf^UtNbTsGc7Qc_6W&cRpUugU)IgL)URb+FB3fNjg0gPC3-z
z3)H3+l5vjCKWyia9(eWTKe1wx$1fo{gWVt0G3jvPsq3dHkh-MXu*#@_Y++Be10^&u
z=SRHth@(F6ncaKW&8mp)U&DThn`j|N<wJgZT?6po`YBe!rG!SJR~=6oYU3Nll-gt3
zhVbMtt)Q1j8G|0Se=%j!!QHXVtY5YmfynKs?ZfOU7+ZX&K-*0Rx4Q=$vu^YnPp!Q#
zp8rz8gXuK&uZcRySX$#Sao+@%oxNSP2UIcr-Av!(6dk0lM75|fnL+a4beMgC8qyZS
z>K^RZ!K=xak?`CEqwgFtY^=$c_vp)ng_I6vOV)Y2-!_LxgC3LAmt>?aDZLrD)5iYE
zfSl%^o8gS`RqC3WI?5k-;dOyY3&-LUN*{>=RP1{H@Q}AUIxP{N?>Bmx;*-5`17!do
z>hC@Nv_~C3S>-&TULxbaztIP^<*ATbvDa!uPaUfR^In(6sp5VADpFi36`FSV2YL6C
zG1=(TLLn&Q;MJ;Y{=-yId?BK(Y)i&1mqYrL78TIjj4rr>&jOMQLYEUSso}uv(J<?L
zIZRH7yQQpc0S;@wmbvb#;@5JW)zUI)4Dmz34g(AL)7o|`@vaK~4*&rF{}h*ZIMweP
z$L-m%WoGYn&apZ8+zv&QGNNH+BxPh&Uy_g{BPm5zAtFg6rQ-7_6bUJ1q|nLUdn7-<
zzn*`d>w50@^<3BedcVNyrhKc7D2gv?<#bV?LRggq0q!awZ2hJ8L5rP8sj4c)hLH-?
z#lmvJX?Y}4vSzw?j}O^1=Ijk>H-)L5Vugo9IkYlzwt&{ih0b!*N@|l$q3&=%?!_q?
z#Du5OODeOY9l<=2yG%`?Uy(yG?2$B@x=<w|c#;WKoNF#Hp9C<6%SYNzOCg8SE6qV+
zbf_+LwmLl(fI%iV{QGGM<kFgZHa~kEPq0~wk<<c+8&eHy7Zyilz0!e?ikI;7Ywx28
zg%~s>6st<mL{Md?K~MYi9DbzwpRdV~2^6U0PxgKmLS7{@|6NR)#+xsxz4<0-0$=P}
z)f;Gn=yCmTG6(krZlUGy+QH2jj^+gH^Oq1nlewaCV`5|Ysb0df4|zuLpU-ktz$HF3
zF;W$}aAp)Azg}{5a)bh>TItkov+|+=wn$#KucP=E3u>&MCIvprs*uF}xRIi8Ho=^K
z9N)K=5jz)U2*T#(|0MVcC_c<9=snXUelqxiIrh~6LM+Q<m+3f>cz><5Zrn7kG&^LZ
zp=JQT&M}c!$?Qn)H!q2;ZWiYVv-$8QULPC=FLgjZE8@LfcQ4}PJl>(LMI9K^1J5Gc
z^F8}nklTN}Y8MR`@k3hpscQ%H!2NJqdk={j?Kv56%12`v@37Gbdsw3j4>M$kqb!(E
zYOVr%F0A6w>ECr#lysqCkYCmEIwShP7o2MxxQ@3{z>hIY2NXYuTh7rlB3B-sir$*P
z_>5(Dk0PHAoKWI^lX8y%k-Z+U@0H%d>6|Z*rX*_vx7-EZ6fXueVUW7?{0kj&JI$h{
zPtb;(lBUzuHVjDQd6D^5#qIOOH#(VAEubZ=a;P{npoG8mi-XCGs6@x1!CpiQ_SanA
zcRG;)edb)fKg`CAtm6AidI~k+V>ENRQy&9*<g7Qtki~)+{%}y6bTuJaB`{vWnh}w|
zpvJL1Z0OKFuLD}GWH77=De>uLL}~hTrpeqKC{*ra9rXkmZn2Af+lpsGZOxS5BCDJz
zMB>0_NoF!gbUzPMaAHP=1%g5Ij9h3`i9M38gaj^Hk4imuv!JM(6?2Egc#uPRF`uFx
z38s!JsKh(4B7K1yo=jG}NS*7n2#t;e8z-eCtFEx2wYtAWYbkt4*Pmf0`7{xBID{wc
z?PW(^bCY)sXZVq>wabGugBlQKw=6tm&xumMpQn8D6-4`*%d9fJHQ>n&8PTZ49q4^u
z==XklAtcguBVb`w9R$cN8lrVv$c(<!>S&EH`oW!Wemz?qZfM=Q6Lo|KU72)_GrlQ`
znx}622H2~El}3Yg`zc;@tyah3z;$sn(J)7Ilu(DQS1+dZ)A-Q4{>Rz^<q`;*D@=CK
zsl&IzJ(R6){OEzB&ed<>QpluWN*~)$gE)H+*Q45kh~C>)!Kp$T<$X$fu*IhiT#5-&
zr^<GsZnFci%j+^|Lq%@{S*e5Q{c2HJGhsyZs*93xl0%7{zt@fysRI*i8R#vGpaS!!
zdvY4&(RiiD2D6F=*vZuXSZxwR+)i6YCrlNQ?1>A%_xEZ5&&%)yz301-?9BeOvn@*K
z*O;U2#%m(n%c|@WMv{ni4@liSrh+18Q<s)~Nzg-)zA!&8h1`iM`JywbXm7g`C77QK
ztM$2B6TC9$;gr$+u8Zm@EH~o6^dDq!a<mYiHIzj)OZ0m`{nJ2I)mjs>?=@lnbXqp$
zv>e(n8ASKBNXYLBtzY@87I-=)Qb_mYk>A1&Th}fUlI9fo+rX#;hAUHN_H-&B%9f@3
zV;3^|-RP<O-a!{;WIdiRZz&?TKwB5-Mlv#NxM$<tpa&y2e@+l2l~GX(k&()zi3$fg
z&d=;O0MU|<o4Tqh$mCJs5W9dTdbiXdS1@h}aZ@+On#EMnB|c@5)M+weQj<z4PBns5
zjgGCZQB}n8f&Cy#AtU{B&5l<3Ch%wV^rL$TYN!ttr)?~e&_YWSIj9o@C-2xr>2)>a
zF}-rXNQQ(GEF~=~N&t#}_|)DZt0Sv7zEREE8YucxdE^l%Q)uG0xV5CFj(S35Vm6vp
zQA7Nu)5A$qkP^&!=QOT{hQ{J=AQ5H66v^PN?@a|CXr^eMQbVMA&CE<A1=PmCuSu$-
z!jasW6UWL`5ymNd=*~V_bo_>Rz3(y=lA1>-eRV3xEBt|ppr;fnd@|M+%4G(R@ezZh
zd&=kzy%eEHT@00Fm4gSH89a^hXU;mJgoJWuN#7R*(H(wIO}`N;yuBeQxxA!+Yy-@h
z2ztEe<^Dvw#BwT(6iV*FFUlj5xU6dd2M4<9Ql7`TJ*S}}h45)j7L{>MytHUzK;7(v
z0>m9uXv_|y?g^Gb92T!mz6@N$dpfFnhl@=?DCc3&v1ut(eq()YW_TLkIU~hiWMT@B
zbBi2|MkUbN){IrbWIsOP`bu<P2LSz&(RUh;IGU7jhO--0_)co_3u$+N>II&A%B~{F
z#^=Gxv_lJ4Jt@%L^b3Qv<a|-LuAM02syIU|){D7m99=D<$G~BIcg|dx0Giz_=*kTq
z#MHO~Pvt6_fNb&mpwj((NTN*4zGeA0mUl%y>w}#!2-b$0Z64%7M5&m9Z1z8xyn_12
z50{PL=ViR(DhmOLB^@he`b)#CKgQWlyrRI-T8U1cCU(^Rfa+4hN5dS|-BV!I5T=vD
zrGkF2Am09~)%W9uuphd9Wfc@d@Dj+Wd}7Xo2xo(pBjN_I&?p``o+}1GJ8OH}YK<N_
z?2ja`1^mEFcdb@QebondcfM(+u`RsrOV7I;|L>SDMR7J?Ngr|*PVloI|BE+WvI+{<
z>BR09mh(8q=)w3oqhXB$Yq;~p;Q@vAX6(p(+Qi0yF1QmJcAY6+#!K5R<B$8-VInnx
zSB{$NLV(X}7Z;C3d}q;48*at|?6!k{ozY_*xMV`?Hw>A_NhmHSgsupWNX|PGEUW|S
z^^U!~owK-v^e!1WRve$T>?3u=YeS4=z{}vNY5bpxh_dP4W}Lp{?})~x7NEcXBAz~*
z#NRuI?oK@Y8As=skDNZM1^tr62@PZ8_#UOT@M*Dc_@DaQ554C!L1N2kuWalX{`lyz
zPu#V=cnYCnlrBgU96t<OzWHwy_e*J3D{}gU|FYwGC$mU~7cueo|J04(PAzJh@74$L
zvNi+hXW?YHJ?{2v_kj_d!mV-Q*+ClqQK5Dzi-`=D11eRuvLpB=7q`i=XTvx>{VGp$
zDhYIAscLq5Bly{iyH31S8pEwKJy?}wNRT|jN*0bA!37!(3@I-raHR3h=HNDuCVZ>k
zNE1eJo46fxp5D`VEq&QWXod!8M~sX5w~XR-W_tqob7t|~p+cPnAJrka^0MEzH)A+c
zzzg>i67#rxzjA03lRBI-zkY+0Hjd|Ped@jRY5_kJoYvA}rUt#-$1cafB)-dzKQi#_
z5+37+#TCS>LWc7@{opTCIDdF;-&Ok+JkLC#$?}T|4D>cmeafA|*VznRP99mqEqYFl
zy_8h};m-vjdE5WhXJ;hKmb8JtG_y%s3sZ*fi1QZWOLKVXPocW{*-iY-bXk+|Hzin9
zJ?B5BzksJ7tLrG=Lx)0oSBf?CmB6qzJM_Z+Mf`cGc7{L|J<3k@Ah_LEgm*zNx{J4a
z5;3n*WYvrj-3`oZ>Elv_*q^QrPls3VEXj99-0MupeD24wk;@9eQDh@v(z=G<sJ1LT
z-phh$v~hv%EqNffc{~pKy@6-$D-=99#)f7D1~<hn%fqh>u>u<DA0EnCFO{jviM}r6
zoHgc>2m3y~$KB3!D5)8hdlV7Sl6VO|nkNT=7s(rM>gmx;h34VAL>|Ora;s?GL=H0L
zOD^hJF(T^EnCQP{yvT@X<?cQ#3-mrt9*@?xdv@Ze?qyqkv~_fdcIK`uFxbpJc=v?`
zVUfRAqjw3S6LGZBheu>Vg5Bc$#UE^Fk6U5s89^bGJ?U87t0W6C$zI{&!kmazJTB#j
zkqFu}%YR_PE(<>m4z{Z#5|DpYmxz737^3`KcMso`0iMfJE_%Cokg-dOo0*aXn(r~D
zf5|2b=88Kq{crQ4`6E1;zF|^mjzc-1Mne|%Nt7wSA@QSxd%dQef29$Ie=wQ~k%jNl
zf&bl~6F_@wt^LjJ$)a*UKf25Pve2fYr5@J16Q!6v+Q)WW9?4{9eTxW^gDk15%HC7L
zXyd`T+~n<^plHGR<&~~H@MezQ5>gXGZmeO>+?X=5`Iqavp{)RW1_z(zrtd<FgB)M9
z9aT|Vau=Z`R1rkjyWbOprI1lc%h#-EbtLB+%VWQ#1O?)+PHTrtBevMZQO6o0`l|Kt
zF7Hnj&?cUV?4FfDHr{Q8T5BZKv97~pEvgPUL&W#+Fgeud@8u}Xt%+L6L%*!v5aE;c
zXB!J11(YtF+ifDKg}z^NTvqWW!@TggRadzp(%_0za--8m6<Z~GC9+zuGt6$!{6S?D
zcAheO<DE9jpI%D4yS=YUI~WUM##K<F+_(4n2X)Z9Q!k<(V0s|XvnduIq=uO0{(H@N
zR|lO8_^If6!vKo6a)_=y>ZnZeX}fWX4w_<P<7(QZKpyWOV?zNVy7S=6-h)ayD4IL>
zgXuXF*x=C0UuP#Fok4x=b{B2LpFJHY8w_yfpIdLD_jb;ra#k0j7Sii1qm87Sf_!z@
zKGt*+LNUxnsDO+-?AC&I-=~6!%{2p3CJB{NHmm-n5|Kx*J2HwggWUAPLf`#J$RRj8
zs_KL)iYTLOni9>S^4W7+MQ#$hHhMwDe^~*UuGs!DEH;O}*{U#4Rw9aLvGGNrGH9?M
z<@3szImDLDh#${YNAC_#p&B`H6y@;3lxM{pw%%WlmYP*Xkzq-eF|+(==*dH0?Jjfh
zRaH)U$f<&|Gp?{8K6do^oY;zdk~s`r>o4x7Q$pZX`9s2X6|YF{znv~;4v}&xtIogV
zQHEv%R~KCa?#nrUT=k(DFpR5aMn9KD5!LU7!(U8ec4xSsKNB+py@4X9rW9$!kYvYT
z8@GuWr_vAA$8URdjr-@m+3h}Esh?P*$pj(C3T|ImFom9{y%xRGqG-x#qwbd;8wiT_
zsTaDL0^X?njzeAu#kn?l)p2uzw02KZYdb(hQdZ?gCO>M6uVU#~+yP&8uR6u<2B^$X
zx9D}?L00EYF6xMLL316QoY7?r_$a(*B#Jpuk9bG)$to^*9CakRDc%IorA@iVL}ny&
zH_3gN#s!nKd!3iFjKMWMSv`qDhaQIUIG=Chf*`Wpt$|lYz(!s(lfJfs?|o|F`6-bL
zI!&V96NV|!Ei~cZ#yW#z4P)zjHMwAS#!XduaSB)_8?JOc9Kem_UgouS5<qs<c@Ufp
zA!5_{hq!eeemF0@<$O2+cw$D|t`!=9;bN!w+(H|cE75G~sYQUj)e<MM6@B3Fxw9rO
zFoa1T-*VAsCP1l2$d1<s^<jO*C?L~w0+X}5l<{I|2kf-dzk8-a4`h`1Z6ZhKFbn14
zNhNjyJgDPvnG)86BU57XgZL7LEgqMvp%UQOadV?@ak?OP%W{95<r;=X44-d$K!6Ne
z%Nu{zb--G`%%MH?FIM@I`MU&}3)ro)gvUa4;Hl6)wWX3ROvLEXU-B3i80?oKqeX4V
zSUYIId4L{dzN;!3v~k1k%!!jn!?oda;I3=(wG1$j@5@?xh6mQUny*wdYlC3r@U4D1
zCg7A*RqEp91tH?TmBBk&U^U&`bS#k>4g_2=)c(i|t6Y39R@Jp&e&D97?-C2>zn9Am
z%;5tzqkXCJA2p%!fNMmA4;x(dl^DXV@q>$ZW_x~sCVX1D=>P5yJA4ee>lc_J0FVE*
zW3PoZfnh4FQ6rQSL@*-iekuqf5<gNtHj`na>G)jOP68;>Hmp6ScS3xd$ckAE8J?!+
zPmw#gz|@j_XT?$&1pAz1A5qB=_hfR=*^UQlB<n&h)r&w+?<wajPBJ7--_|X%=7kg1
zXsGS57zE1Q{Mgn{f?GGGzFs`U2bWTH7&5qbfrW7MN1<0F;L|vJ|4<M=aQpOJa~PI@
z(2@J%C-b)bT1-JS_PzjIs|`uG9Uuh{H{RBNP9s76p@>*xnjkdyUa}YolLoo-V!PvS
zlb}3`)i%Lc2;96HQcKfhV6rA?b>IOB?y}Il4a<Z<#hxm~Q6~%Tj|Zx38%U5*@^t8{
zmMAo>Gqja1%0bWvmQepC5~ML*7l{2V1_7JSv}|1ku<(>w?>8WWLy(>C=9OLW79Si}
zi&liar3^(!ZjoW9V8ki!gOZQ~`QD#8l;Ccgl4lyDCIpp~@nob+0X$G_o0C!j!nuWN
zl_X8LYgp*Hl_Cuzm^X3pv?}xzE;7VvXn{<otV&&q3`ot~<YO#VgJW8OXKE(2;GZS=
zNluz9<RZ&ziErw_-iPHmHE2VeAp7CgEIDYD=*v)}X~66i(mv`-9hfW8$^Vik5B?St
zZAu@B5YN-(a;`}ieB?d-Z|5rjZOwJr7)T&c(Zbj>sR!4yV_w?d-OlrrW#LT(33eS&
z*yL0)fV{IK<&9BFApdA#km(Ky;wX2FZ9@!Ud29K!k-ajUd%5-K#Z?k4L{j?VK2X50
z_fT**hYCcC@9Vr}LxQu?e~ZkdjA4sOfWJLY1%jh*TBFZI_{ZI(DjIA8gF8NJz2Q@Z
zmt)F%6U#K9?yAx-!*dMMHXnGdA6A9QmJc7ebkrfl<=O9rKmgGhO6}?yRp8xsR#PxY
z6<)jQ4@xfq1c_2RVz=*$Mifu(4^Rf~u7ZT)Crn{s+>L*WOBJBZUpm@I5w`w56CXjQ
z&}JufHu$y**dAH9<~Jn=ns>vqml&wPp<}l@aatJ;_hC7Kw`9P?sH}ZKl?sZ7Vl@IJ
zltJ4)Zd?bX-~hjHh^G-1#JuefhpH%nfYy+e2&*`}xOJ|jR)-3r-uooGgty<DOK#`r
z5`rHJd2L3bREU1ZcHUxE9*&*6N|@Q?hqN~z&Sh@<GWxDN_~3;c<V0n@#;@~$#QnDH
z_Ht85U!K#wb5<7a5GoAK#5tjz%%$18ooixu-q-<>3{;4v9SK}#28M>xvJ?SR__e$K
zs{51_P%m8M53Hbvj-JU!7heNhn&3!~^^}A<w??|XC;ws}L**#lE&w(4zR#-YcY)fE
zMH!=^Wh~3dF=u2QgN4kmb+6xu!pid(zgSD=G5#ln!W2CWI&{PzOlJr~NA2x<xe7Db
zUDIH}=@1jx4FA}8`|eKA_S*XKes&x)b9^FJU11DC&o%8|A^{L>%%^sHj$++Obyd>y
zMljY9dUGE)Kcs3N{_mH;2&VsZNS{O32%=xBo;rDj7jh<aw!UbOV3DVYDgQ1~pt(LT
zGf;*HQg7E?+>#i@CVbh6jxB~j5TbEJv=Cr9(9dD4Wel6~I`a&~459kd9xOA16PBt6
zswVg*vBZuArOq=3Ku<azP+ZCm1Iq*Px4WmY6E{WA@A#+>&SqT1_gk#cdGoya8vPu`
z%+}~KtgH{b4rvujH(0>^^>B@M{XF(+>TC4DWIcFkh^6ZsV}|Pk#wJSzi&&Mz+`9gf
zE^xT1?s#~V38c7mKI#-MW3BJn8j_Fe0>7WOUTz{I{P(2w%JsLa*mFNIZ<9_P@YyXx
zcs9-eY3I1Hwe@xEoyAoaV+$Rq;Bk#<4P}7f{69gBHk(+q#zVtPNE`UxUi_!1$N*8#
zA}@L2TbSiva{NDIZBUnx>~-0qhlG9^>wAjyFlyvB_!8FwY?zSdxj_$O;U%^2qZr`V
z<JO%OySMq$F?k?KgaI-vyp-gp7(s(DduXP8n-{kZ3&kI1fczS<O8P)%=qfy37wxJE
z7lS1+j~5IO%W*PxhK&`zW)JMVIJdnI{oWc~(qRNf<_MFwwQN8OyHc_lPX=YBVY$ps
zM&P{5HgW9+2mG1+y<bV53=d|U*6Ob_!Oa2N`RlPez<g)%L)9h{d}Ryz;dqJ}9vz+w
zv&rFtz~2Y%oBEL;R6K;pdV&QEi{4sO0(qb(w@s!(hy>(xkJQ!}R+v_<{yJO83r?-G
z*!@%@7$4YEFj~(B1{M{p9~Su_ZtHFXCmj(EUFi23l;eO5wmW6*E&_nf-Sf}7paGpf
zdB-BkIN^(}%7VmiK`7~U?+;<tfEc53jyEm@NdIO3wlz)&@`Y4Fr*qZeh54t7FM8Y%
zz?Svrx0MJ~U%63sf3G@xyFA0ecaI0IXqgl2$zs63`i|X;RUO)dyh`rW@Iq=_MB#VJ
zE*R%X-|yP11~<6W_0i-uzvp)D9y%=vFX&5g_C_^Gy2LxvWgq|&A?=S12Bkprdg3>u
z7B$GdnlHkeF9>ODaR*l<WngY*`YLHk4U*^mr;-$ez(gsUX+B66+AS-2V#(?-m_H?|
z`9T=IF0>p!@l6iytXt<AWvPQ|G91piDhhwsr55_F6=3yvd~KbE2Iwr`C)0V0L;Y{M
zK>7|vsBZP@ubb6?*H0#IZ@5W7=Zl{oz1@^Sg~FaIKTHHw=Z&QriWKY;`EBF4qyp3N
zHvIF~NYJi)Bfi{08tnfocfXgY25&d@%#LDY5WJK9c2AfL6qf#za2M48Zf{xR<AR#-
z@+nK9{zF+1tlgnIkxqnBVgr8;K?}lN5^O{I<Up?Mx8(6{9(kJW5B{m74L*;<{2BNZ
z;O{PpTR()zV7+o#b>M^!1Ur5&+S;uMq8kGXis@w75nL=b*Qg5w55p5Tf|P*6{#V7r
zc{2Q0-oHPOst?>5#oEis%CPU<tVp+vCUBM1IbZs201Q??*<RdI0m^(4J55Rx)b40n
zE=N${>Q`39!Eja33)_=$XoL&{Vcv``%EoZcuF~W*MGeyH`er``lOdofTWil}6DUsU
z+)?&P4G!#?>wff>1jNBz0i4<ZI*ldqBP!}}Q`;$Gu967JP49&RX94UVvD|OluMR~b
z^+dIBb%<1&Xn(xzQw<fxWJWD@$aVD%8=X{vG_h*wXgMl)cvu&m?oortqgr)i(n^r!
z%3t&MCKX1y+E$&ZYQRQ2w>qsU4~u7|WxfqiLC)W+J?a0vw9Mo=ZzuySaUVmj5zL@>
zm~rcqp9&<*xrXo;NWg{M*GH+MW-!+6zbB8P3~(c2s!B`*CPv#|rL&tsSA4(9qhUp`
z)~uXmq!)nar%zib{i4E<c<^!2^9tbmR`W`F7Z)`0|7KLZM}-VY%{94YIp8>DBFz1X
z1t=T+4$L-GpfS6J#QDj>!QS!<-v_ra8^6zy3p1wRcS<l#c}N<jc^F+3&n{v_8YihG
z-V|OLlH4X-q#%IQYd`2djM;c-On(+Lg;9RzzSWjpAiVimQkA0}+r0c<tfmw|;5r9W
z^|~m;OPSndBEH61EPqL*8v>Xrn9t$1!th5iBjbp|cRb~Uz|Eyw7+iAdQ?2+a2rbJy
z>V}L5aW&R#xy|P$K=CD1ABfxTrEjSsOW$bt!O68(wLgr()4W^Zn-4F9Qk!d28isL;
z(B>Ekc4LV2`Ta6%o(nFz3DhULkKioL&%S0-j3E5xfsM^zPGDe($lzTa##7IGJUAXo
zfyiX9po;x$5UiIa%iQ`0m-r~`AMkA3k1D^fu3uyZ$wy!Kr+8^N+p3F1_NoD#{Ve}D
z@gD<lx__mKEe+z4^R2^`W(I(4GD03T)4{AMvZN7z;Z#QA_n<U=xO7d;XRvY;v&~TB
z#Z-Fn(8fbHx5xE>w^%4<;lMg}ud{@;kiH8)IoeOxw_6WbE^oCH+*YuJ9dtD9hwb>7
zwuUuRkuD@F?8wmSTEy0UOb!M3HsXrevyR_6bYYrFA)8P<kKK76&a<z%8c!sDxgfdi
zM>j<Z7U|n&v00xM?YPJU{9h6%mJMpd&}{VH%MsI<m37FOL9udddhhP2L-yK0X*=tk
zJvf1#<1JG68bjE1r_71D4_XkFFnn_U%@~%=CjIAVQ!`c>%W>6>ss$y-cKocPAH}ri
zJ?B%kKVzK-_CJcmHNh4+ysm#RjIB$)^pQE!g&iTPp49|Rm@!*Cp`QH*JK1Cyb2PUH
zJNPRrz`cPC8s2?AH-6EuI)z5Z{15$DulAbGtTh?rLdV7Hd}vss5cN~y-vMkZ>i6!C
z-$<aGN*DV=gN6luafs30^&9IPseb>%iv*f|Vm)a@8m2I9>OEln2QxhBH7PSmgm0ON
z_s^W5VZUTgeRjD%f-Pw<ikAxz!7=M*tV0J4tC9aB_<Vc}dvCYrj<J~rl>UJIN~ix|
zKhN(9Q}>y~r1e*5PtR|2#MVi&KxY{HXDHr%h+_szYi(+qu26%Wmjc8v;s_RHVWAv9
zHH!sD4`mL_sY2<r=1Jn=(f?!4>fo7q%ug>PAVg0U1j}rT4_Ay~s6<=Wm3I;Q9{>OV
z|Nj)2cRbbKAIG`&cI`c`Yh4%jx~|QA8zp2%l7=*hB9){vOGwL}AxQ%%O6KPvnQc@`
zs8BXv+2iN;@B4Ai`*F_u{eGO+^K}ju*0g3slR$9fWsjZ7IOCtkTiUzse~dp8rQ+6~
z)WPGM?K#WU3C7fgICVa3k#Qo;^>UcHI-GfJr=&DH#n9R0dik|`nSp06>Y-mz1M<s@
zd3CpD7<YX`2%gew3^#W7jF=Hsm^dnS*1T<&AstXYr<Ae5sBRLBJZG;8&AJQBnTr20
zdS5aTiXJdQ{EH1yN{tFMQhPG8^5z*c<6a%lRdBHTxm@!XvI<med>Dz`w!paG^lfpV
zodvXu*lbFQltIW>r)yeliBWv9K3O=84IVAoVv9s&__|=Qu_C_0$OyW>FZ(73+>YR&
z$UP=P^rvY@P5U)Q;F)v2O0`^I=yiH7$AAdckH$~ks@-7J-ZZUhkmZGrM@^%GZ<Szx
z4-59JWC8}h^vHM}Kk)OHH=6_~LD0Z~pI(|c$m310wtXiE@g8nB1x1t~IOX4@dKU}4
zo!vMQcUTB^79Pob_L=~H>-RnJOJReUU$JsG6h+|f;x(>>D+G9BBv~MwzybHJ-#;<T
zB?gWR+)g_e0)+ZapFR1M3%)z2x)>@-z^KSf47)Y~961Tbd;+|1<LVf<mA@41yQiRJ
zAV+}6Qumy;Vt&XL=bWw_mx0ITpYMMo5P(@D<j@`@2y+|5OWgP6A&?kn6$u2;Cb9gB
zaukBNO<DVL2Su<6>RsJ`fdKM<w?%ERh=9U$te?;r0mQw?OsBpOU_tU_*Zx6K*zu1X
z_@jsj1(!7+U*4w#sy!d0SVzTSuu|{^YqSb{2`CqLz!SlTnzL(FQVM=NV6i%KNe#{n
z+TjCNi69#H#Q9a23>bDl)C)`{!FcN(Vh~XUcn^~P;ko6ZZR(J6X$u)X>~Y<5H&qo%
zXNIDxe<{G|`1x$$(1sw6eGh(ksKaH2q8n#D2=KW7Zi@N?3V8O!aEpa%fbOF`izY)#
zU?O%<prxG(D~c5Zg=?Cyr1?9kBTO0e=2I@V59q+3?5;nga}>Cb`S3d`sKVfyV)>Z?
z8idLE3E|as;GZJbZfd6*9LssC%Uq`m{pOeEcZleMzSXAUU@!@KTd%Ef9HWELd!NcR
zx*lX2;Cq^R$zVRRVzB)K9WsVuO!i(ifW+9Zfrk<`!Cmz3WY0JqZUh(fj;tAhVzcSa
z*T1x2!^q3#<3l<;zF88d8EXn&2l@9%;waF2i<QqDM~C#nl5HX!09T*q-%1Lk09&`D
z&-^S6j81ip>6@7Y&-Xg#wh9W|xe}tXdQk^%E$I^q_gcWP<Hdxub_(D-NcEH_6yW@Y
z%9LC!;ZV%*vyY`)`Q0(9slFzVYCrEQkg|d!M(!#v4p4xU7k=9Qxf<Lnb3Ez(*b10J
ztNOW{w84Wc9eI_X2x`GYSFho=fpT%ep<aJ2AS<!!)J@BQv*8@BOmQ28<zC>IZYP6<
z;mF`lh8WO(_B?3j+Xev-T#3VfNDy@G0{4~syijny?4<8oD=@TeFevz@1_CibT&8~O
z46OHKdS-wXw9+GjJD;k6%)cM^wwLrWH1)(QZ_Qf5!A?8HFJVOB-p94s@opT$Yg8rl
zAF+h@HUU8aRs?ANKCyTqejO8c2oL-8-U5i$#<Js*3gGE?*s9<yEApS6O1Cz!fWAU{
zQ5vTV5M_(c-EiPSG*15$H}cJ4M2j%%Bq9M5m!-ZfU*<(xT%43bUUO)T`YJYaKm-nr
z82E>k^CN+i_kQ|>12}W9vp<{>1QTigO=C7ebi<~uxoDCB9)p_JaGM8C7irkl9TG(K
z?G7vtCd}aLjz<KEcWfYwb2(%iD~KK*KNyUbO`&2W<8*2o6D%Cy?dXmYM0aC;U-uF*
z1woldr>`|GG8*pv&|UQrL>v70<N{+8u)UU#k4c_lcqI{<LJR~^dD`B>w3EglaB8|A
zYyH6}{}F?a=M+TJN9S%qi4ho-d3$o?moRv;PbR;8A%OJi=Ek4>X9!J4!?`p&y0PpX
zoxOS|1W<^Xzn`R)A+%l!u~~E-#@J>Wj4Dh75Fw>Rt}e#_W?jY?CpD%q)h+@#Nkag2
zOC+9RTGt1gx%zB6_dGVZ^u9RSOaR4;WlH)U)`#aOQM;?;5_bO7g?r1P0_fu7d8L~l
z^<Z@@(y_XG6|0P|lD*O|fPUS{%2K!11K~H1a&GV3#PIL!OE~lekr>B>E^`wdtZCVT
zf2^5NO;GlJ?zF9YvHiCH&w>u)=1Zk=y*L!Cc1-OUFCI1J9fj$3U5MvSAGX@fiXL^8
zT0P9dqfn<!{eSMdurVme(D}fIO6%ul+|7j$N3z9v(J>kfoy@PZvEe{szaJ>CFbO01
z-b}fm7#f6x-ZYJU#fgq+nX0Pv2_t{YZVS2+4J2Rbg~eKPBW}S-gRnOuC|*?lc2T<y
z$R~)&Wc2c&4^>Rr1>ZzbQ7bQ1_?!-i7@xV)c$N=o+hz?ov5BL+JQvnq8am+A9yQ#q
zCV=*GVKHDQf$lk5kZ$~;!gWGcPTqMzWZWB*ODvN_RzZ3-g{4%OT%?Vg1mMv(<+@!3
zTGEJb+x>!$3sg|#?z;B&gb>=UqTXcuMg}ctf4SD|N`*MwgFPJ)!pQ7bP3`ssIkZ=^
z@X2vKD){Aw%3UoKL4nhY(Zf0lC?@%%OEr-SH{$5>`hB8^{av>9b8ST=vxBGUwLBF*
zv-_(K62%e2_QV-EV*(P%rXOolqr!7L%O<DG5-2o@-G0|DCFD05dQ;Gx3Q?ptu0qR_
zNb~bCFUc?>df^u1#&dk@Jf81A?2eH}g#E|IiykQ>k=r;9!y+o2sLfyaLy$!=2;X__
zmkQDrItI$~ROn>7y~y=h4yk;R+mWfLhJ2RPNA`H=fSNRsi{hw&SZi{{>JO@;v+po@
z`%gL$xO3-cKVwDoSGfW=l}$nebwNosM`;i_DfaZG76I*e+GHa2Mguusoj&L!qzhp$
zZ%-(zDxp69RTZU4GU6@$yfpt=7asa{*HZ{YWO05paQr__B<vCuN2{U(A3SV%C8LZ4
zV6*bl7cEr&&QR9si5~d=c%H8(tb*E43SV-*t&J3Nv-(an=tHa_8<P#QDzYuQ?XriP
zf^sSpTnB~>AVO*ClgUq2M9ywsFCtS=@fokkBvB(c$i@C>s$2~T@&`KjYEaPOGO0$(
zUB)o^+bt01tB#fj!lS)dC@9k^MIt8M1nBEL+hlPh)OF3GnE8k{LZwu#;m@WJnl~e?
z5k^96p@UyO25F%ap%<Cl`55q7zuV?<CkY*l`m(q{)<lEn_i?p|1E>xbifzo1kYq<x
zFI&C_n&P((vd9LA)9RLZG)Y2l*VChQyVcQS%jLx+K6Bvp4b)7kA)(DDah)x_swlKw
z-Ll8u9FBSBIf!_Y(2TA3q-vEins{!($5m+#21lQ<^1W3@S4hK!eOHu_>7~pTjbU>r
z$b5aiK~f#n9Del7!c`Hi&HGB2Y?^~E=yBdLS3@1z3~u5+IpkV1rm4(g0sD72y7Ako
zBC8v2v`!l-6fehSoi=9<4UTid{3a?W(EHkoSCklX==!$s=AAjDiz!I`mQqHWQOtf{
zg@jRV?|`s(t~vbtXqESVQVH?kru_Xm1QBtk{}a~z<}hCIq@cZqfRqKNzV)?mBUjhN
zQwK%1;u+WFwqI35_w-_o!fe=4>oXJki6(&6H!0^OJrvO2YUuI5jYB_u-<$OL16;pv
z!drhx4(+G)=OKknOy9q0jT;XTR_2&GNR~l+GQu8|`>$Y6o!t(L`!YZxC9wRPuoUvS
z9r5k>zycP?e}!AO#0*}strjIpOQ6%$K9Y0p^H}<*a*oH0De%2I-j}jn4E-Ivli*V}
zhi!g`f<?M1@ctPZiAobe#3lA5(^s=trM(Y_e7Ffj`Vm-{d4$o~^Efq)uvzTOQI!{o
z?Z#lw{A_yYJ|687p6NaDd={H4s+mU;#!wTY;CAz<ATn`Tqiyb=!}hfB;`sxNpk!c!
ztu>h+O>rz8iSYRk3m<dQENV6c)2h*%Lw9&l*MSyWT*W+QV^!>(FK-A^b?+~e#<@}T
zjB9rrEMQ`O*|FS_25{C#?+o!Q7b1&9m(AdoFmZJT-|%mJ_)eS4Ff-&tQtnMoigU}@
zlTJ??vV%TkJh@W%AB_W<gh|^QbFE<x8sZ6kwR-R|^-cefH#<UqQpR|<ZD9B2vYf^=
z^}xd`H?1FILx*NKN7!AM(14!p$nJY|kZW+R+puLrN3~jv@X5?bCXaZPAWsLw19F!h
zF|ncdUDA`Z5gh6gP`9zaqYL&y5oMV_Skb9lOKvecSy6m3@8E!<E;NasDEj`B6%nS}
z#$#LAkXG&LuF;1yuv`fe?B`)aB?2s!>U%g4HoE6kh#n1uDhqe+_h3VBvdqtvvT&iu
z)NR@iT6KW>;e7hVt^FlYkCpP<xe@QZ7yh~XbRfC=u-{`3cC`Pcl*p%2UX)-dZ4$La
z1){`VN(B!GQfW3bcdg(@GTZQJaT!$TUmm+zHpqe4?_CsmdQuQsG&9T3n^IxE9HVl4
z;Y51438+fPqeX|R-}t{2V83mp6+Fj<nvd3U#`X%Kw|ikXBZ~sTkTEq*;XzGrUk%Tb
zMbJC8?Q!GI6wtqxbhsjg7X@T#6#UE)MTYZI&oTum5bNjTVI|Lx?yLPr)Kn8k2@@ea
zZKc{U`FZ86(?<dH@##8t|GfmV8;v-#ZmSK4ls9*M`z(k!5>li%Go(<8!Lhp`D_YQ1
z601=6eM`T)<JS5kWRNx&eonkW3!ZN(-RM~oLi*k0zo+8m5a$}(2fhrgEq>=0)72C~
zPFRdtucrcvX3ClWn4kr>4zlF;g^8k*_ZR4)(Td3H#dUvrrWSB^abK_eDTaa;RANGE
z2}pRVG=I-)Ex7YE*WvOJ34~qsE}^jzQFg;we2u6!h`)`Ud&44yyi4lKF78)GS6uDH
z3D>k?L^o2TzFr!A8yBncX;DGEHm+ZtM7Q|*??ek*vMh?5R45kHS3|~)Z^n!-Qea^<
z-55p7qg3(onP*SbQ7g_#IdqKzw`5;6<h3ZEj5D2AB}p2Hdj1_=a;uLx>&xr2-HONq
zy8*3vWK`p@Yk1vB2SS!C|D2s9ps)9WKUHyRp^v=V?TXZB&~hhgsDPJ<f}hg6_U_e2
z(tU;13-Y=U?snmYmbNllxp=(JZ94_6EM~>v^y!dfv(uB)Sp~hqA6=xhQIJX@aiKOq
z4{iqb<9D1;MI7Jk?VppW$U3|tykbkg%)dMDGYMBi7awTbS)JI5UzGa&Rm~7GPhfwd
zFR7!T?Qe8*VyGw&?s$3>89{cx&bt0#5=u;6+39_pia64ZTN217FcBIgV5*^k{533%
zD`lyOeIWFn+H+G-+g>7^+NpsKjC9><&ZeO5UsfDNx(vW4oH+i$jEs72)%=L=&_;aq
z!7D!<0iLSMlVT&ts3G;!728!!6viubwelap{9SLY>Uc7GL0wYW*{gvbM;{q|5^D|_
z@}*6td&wvb+~(Q>)Y16E=jnGh%)#67Vbk<~8c0{_S#9zs74(FBwKvt%0)j56e0$}l
zffVEnVto{eC^xe4CrhRUu%tXsDZflYI}(}Fmje{hm%P)7zp5?3FYMEU{juuE^=eK@
zbDAuwNTAaa8Z2O`gie3st%k;mCi+BkCD4IgRrCH2Eg&f<)v;Sn6%lE7vT8U*kU>K#
zYwINoaH})ReAuFl+(mBq1%DMl0gR+iI~W%5F)8V1z<wg)4A>DTUd)LqDr%RjXU!q?
z*pG<T83H<FY2`+V#399_;Um=<<}fHAT2&aMhy)!!jQiKEV20}L4{qq2gIx2D;&mAX
zG;_74YT?ivX4G(Wf%5}E1e^G)^cY#>>3qP7_4X(>{mY~L{4s#bvFyEz<5Fm>={>vI
zcpr9qlw+sgG6Q}(q`X@Vl|X&bKia$1+pzSvrV0i`1{hsS4|}d9h91-}?Ao=FgQd&J
zgnK)iL4gnPMZSOt@;vzZM{?FPMqZ>(y>+xHplZ$NAsHbg^f2S<`wfg?Vp8n!zRCnP
zaujz*y9=U$cmB!So-{JB*!qg-Ib+CZOuV%J93N6MeSActr-6~sjCk+r7(??Ow~gLZ
zZuDiW;V37ml0nV)+iekQ1f3Q;0-{(sQMfbiF6-`O#x(}j-D69q5~Y&)-!`zJOS2h+
zxXH(uNNw@$7GXmeTO_l+!B|ktzn7_@_ZqQG&&aWZeg@F?wKDWD4u|-QBMt@9-e6~B
z_eHKX>w}%E{`m`0OlX%YUX%W`8}m3wPVrOH2XE@_4SLW9*40&oK5h14Yn*{|VORCw
z%I8=7e3on2OI&n*Y|S7>bDMT!pP|EFVwP8S@Cw#;iR-{UmfskOULrZ{MTbM%<Fv~c
zmN0p%4KJrXqnM3oPT2e#UBER~#D8sF#Oe&)_f6K0VU?Hvri)tY!sZ#yO8+fxpx%lx
zd968xo!htFMYE0u{;B9djQ#?qsHK_g`E>>xlnhiL8q%P*)#fcr=RZttY3}A!@f@b9
z?L9hNtpndplBr3l|FDxzb04a&%wz5fR|dSzbU+~Qm)Xtae^^OJnE1|+1#E0BEivIW
z6}YZmsuyVbhv60thO#d$Vc3q<PB#}SoXWK+@0MG@`ptjXtmmy@vrGbObwd;w<(f*h
ze6WD!-#Vfq`*RIz)Xg-jKSO~T`*4{9`xY_6arLUr9h;cg?Yu9$c_`325|fBbm#~MX
z{siVpCe*xIepuN~8|twd$t0U)%x*L?KF}VAioYNGHyf)3eyoq^2~jIpBJ;27U)xwv
z)$O;#`W>1O8*qGPbYvC#G?{fJ`Vbr1(C2-pDyj()ziu80y0DJrWYva@$Z{Z6*PpdG
zUou!F`Y4|;-^2zC8dvH!I8oZos5O~p4G_!GZRp8mLJ3I`J<MD@h~wmi*dY}SU@fkv
zH@sj*lzsW#lfZ|LX?$PkNhU#5042_I5{JH7CI{ml3!u*{dX9PAB<Ki|P5EreiaIAb
zY;h`hBy*!Cjw4YW)Qe8$+^b_lo^pRJFQo{fqN}eYStZrs(I3g-U{4M-HnA%+Nl65C
z{Zmb-f2Ia!IwH^NDsUk-^)JjTJ)$Uscvw5bQw@q1_@X57JjnT9<iF4|ada^B1Hnv4
z4HUk!e7r{CLkAfS*SeobqUGoEA&<VPLWjWoVby2>lpSv2UjJPh>3s4`rdO*%oB3Gk
zXI4CtO}>*@p)ZFbW&gW%w^S9(zcspt9}z-7dmO8RycLk|{6lWdI#u8_Q$0KXTNn-V
z^}n9S6jA<N6)f$~*7|XRz1S5|RQ$M5?UTL|Qm15NG<`L2`5e-eWi5`z4#E0(8xhU^
zRPy<+L=A$1^=ONll4z)N!{I=%3X<`Q@$qp~2lBk~E@MM!l(W=NaMV#l^v{d&4~Znu
zPkfR8%TE@yBnL#Lv5`=NA44sWrU84iE?5>|@~F>cqbX!m16}xg+v{aC8Ri@Y&RmmG
zM29Ip56wPkqQ`LqZ26K}kiz!nQi~q}VWpB%bJg026!)`wW<wil1qVxav?!t9tNZ#k
zIw<G>5APcr87f4FgcN+yP)0``Is;-JQxSuEiRybq2MW~_uX1FnpknU-lo!wHpqQlp
znx1^4L9EZ<h!BSwy78)y`IZ6=HMWJylf&sCaWjGX{-ipZXuRHClutv?$|3~fZS;Zq
zSF+(*D+%?n1vlA`(~#pC&aPYfhG59CVD^uLj4Fd=sRj!)^j~gn!zVLiXzF;deVV9=
z<eBbMT3^yogXln8mWwI8H`&9QEv$u9&(Jf>HEC#0@<E)X4+F~TUJqHfYauS#kQ?*P
zI%tPqw(RvM05|96Is;6!k?iMl=Qv4J)bo8|xHr=rx_uO|=q;Z~4vjjWdqEqeG3orM
zKV|`qP48Z}F|-j+N}N!mE*UA#erf-Tw}g5tFUp6l`~$DF=7bB>P};1)>Ohhu9FLmf
zXkgPq>rcz1oJNR<Wx-=o>5nCp-xBjxSSF*Y8JCt=k|ILBK{B;?E0CO+*d9@$fhxvY
z9<wM)qvZsNMG&%r<NZeNS)?uhyMFmuzn=&?A=#5-KV=DLyN2FfjZj0V@+qn7885Qa
z-~N8fyn-T(o_Jfe)tB25^gnnUIu)&M$nI<j%q_&p^Z_DDdR)qVntKl0N0}}=_1gl9
zeKeT_a7u_bBK{HXd>d9c6Uy`2-vUAgaDy{yiii?v{4{%Qh%xfz0{g_cIb;Pq>c9I^
z4(*<l;ix-0$8a7$9oOw^4m`J&%|y3Jqlid93-`!n#(3=}<Ki&Dh3I!tnM@KWLB_u}
zyl8__o;zL1dKlmrYejSX>=xhFYc#2dGlQqdz4Y=<1_<1-u*#DbLQ}sK@l-t=oK(yR
zx%=4+925fYH!}$!dHX$fw%s@=9CwJUn=l32pcQ8_gBul+eN<WTEb!+BE!K)>i@WlY
zZtR$5LjxBcmWgw)KvgKIQ<`Q1_fi#9e)Hgv)6%HX(=Hr%@P&wu_!z^lq3ga)GV2(J
zujK6S(>SOwc9K!aH3BsSuCIYV7O=&Oxc$03IC##KOLzWZ2-A-}a%*<ZVh7mtw8ic)
zgOinq-ggy4h<`iz+P>@$cH`<LxpQ=8@c*5<!!pDG=CSD@+VcUd-OAfT`wJ83uU^*X
z@6v}bzZ$2T%kQweiQL}DuQ7r3$X>!nRegw4u@bNL&ch4>XsXPvOfaC*FRK%;2N5O5
zj$WX)FkbiI$6iyJ;3czz!;fh?c#nLHV;$*XIHnGWcBnIf*>VUjc`qI8Cf0d`g$5a7
znXEwxCQM+Q@-|q!OBbxhc#jRB-wY=njs<0ZCU`rWm}p|I3!-@Ucl{!N8O8+nSC?Ke
z!9tvB|F;?%ECs!2Y*U<Mw7xsb*d@;ljurK#y#_Q;e(+jq=;92+ZK^->$bDwmZ}7rR
zv{nc5nzQ&C+~*hqF@t3ncH&?(Zsc{Wxef^LIXX;LnP>D*s&Iu1vB0SqAy<X2EgvW6
zb>!IGKgPqdhK}%M7D%!xdf4x|<rnt8=ofBUWL#gq$=8Bo1KZI;-o{A^)cE*VUe8`;
zRN?l}d$ifXlvZ5#=`sbHE)}E?TwY~V98I`+E}8>y=KVP;3KS6Gbv`^4v(8v)6^N=|
z<AkR}tV;JIwBh8#ZUyT*n~Y@+-y>`V+^{~HVz|_*1?*5++BdOP$Nk~N^;5iXIxIXQ
zZ|nVhcS5e|k1P(#4?7<&4CV(zb*-KFvzl-YubruOgasUV@~<hm3IbPdvF%_V8E(B$
z{T$Q63J-LoBP`<ZaJH10+Gt0HeW!NSFPXDLpY#ojf<7TozWmARR+|P~2u`cL)6W56
zCNoJcJ4IlYzZ%=^q5;+GH3<*1xxmUjJ12TT6ijzX5O<G}z^Oz0^zjHDxa0Hl@QE~W
zIH^^7jVFl&wMUYy925C~$>X<!^Jz(_x_D^Pz>WkBy9W;ZXc2%ji-LE&LZ!i1Xt&k8
zI0+;)hNC`<<H0t`EIXxG7B~hIe9BhT!OhI(WZ6+6a6Gv8peM5ecvzQ-Fc#FIr=z{o
z=z}mUu<qiH-lhn(Q!0bgd?YZEJQuFLM-=`n<-6U?CxD<3G3Ls)t^9@7e<Yd2;mx^I
zcRYlM@c1ly!S(_Y@aZ0CvTc=sg>B6tLRrd?{A%s)y0QlRZ92Z|<r675SHQh4qo)d;
z9o{Q*Uo=2Mvx5C=wG1FSPj=fcHK@;All_j7K`KH#?Ch`{%;|2^7S1DW)lcME&7dZn
zKkD)0WrhOSM}M+8c!&%>r7f54n`^^H@AH+{ZxrFsKP--_q6J_7bD@}RaoVBH6<$F>
zC2-{cQb4W0iE$hq)CST>q@UgiDkND3unl_=VdNdtifuCm6u+Jqskp8KC+(L0W|S*K
z{_69th|5&iuSS5<UK)t+-S2sbT@`XJTI>A(AN&mUKzoHX9aOT#-FJAXfnhhcezsf(
z6yN&Jp8KH(l@Bt{DdwreHlKR6FPvLk8xpU1FwFphZN|b%Ka$||z>MyM#+JVB+342w
zHG-tqX7u-eHNfB=v&|zs4KiMfPj1+lfPj5p%-q)8?VZ1nCRC{d?8OWJQMJwB@KKkK
zaXFfBKeWF^K~M*#yfeBoSphm%_DoeNYk}Ur#)32zDjXb}AuIg`u#Za-;0n}&qbFZ%
z8(h)`_lc4?pE7fJX02=_ep(BTrDa@sPS=F?)J07@uPy&55#KJOtp$AT+BZyPNszFh
zV{i1w0=#aE_1P3^g4%9JdH%O5FfO7X67OIMuB)p<pFWZyM%dfwx33Zm$gp02f87!y
z-;i=@wm7sg(q&gVp8|YU<}>+o-xAbZa=q=sNpLR?@i&%BLf$|WJ~zh_3ZLzJ6vC?x
z+gr&ojhHalg~`_Gp0<Sl0RRC1{|uLRG}Uh$$FIFNA&RWaHSWExy}lopBBW?ol^H5!
zWo7?lmIf*zBq0r@l2pD=DJrrxh{~SXd;R?Toada+InQ{%UoY+*Ond@iL^vN(;dZo{
z8}J*gZa>H-a8BvMlvtBI+`&{Eg~OO2>M2V%!w)(X#~F+Xi_5{0>T~!N?nSKjmnfCs
zPlxw5<cymxGT`8s)OX~4AI7ed`zCkO7$#oIa85ju2FgR-Af2RQJd)<Tdpgk=Zm7L_
z^@ndK?A4d}d|+EI{(SIW6z~{>&ucj$mf`J?5!qqwR{9SYIkJtJFAd<!EPIjWxG4BH
zq@R-;n#E736)~!b0SwrMC^YX90j2M>Z}nV@IMbqL;WJ|lYUMl47B31ywS?otZ1!bb
zc)r~7se=)0L=(8Cl=<PFGr6`&Vg)b!t;|RcGlcF92h%l1ZYVvX=zTkU1wX5w`ye6T
z0FK2!9}nEd4oa%VLGnjd@Gn2i*Q%QI0bB4oTb0TTZ_O;%|FkUQaaknNO;&yA_Bn3A
z;m!clz?OKBcNxEY>&KB=Q#~k?-M)||wT{Ww1od>wE#Z;PV#58&x=?zlxsGA`5|(8q
zTb`-3h;ulkh9-9CfYfVh&+npH><;(lW1`9e-sz$&X+hKh7Hg5@YTrq$Re0GiLT4Ud
z08{CPC~Ziu$?p(}8pia~qQ&Cv=J48zewB(YEy$GLbBXtOFScLKg!b{uEFRi_YFm}z
z*1B^z@z3~AO!7>y$IpQoy!&e7<FrCesPN+b=jhyw?HOs+7&<zGSL3&&nD{k;lwv;F
zk%wdV2V$pJ7N+sjcVBaTi`IavqOxa~ibF7?efZPEFQ#$pWn#gvSsJL-=bH1xzrvq(
z^yNItoW^zYjjJY3(?DZ?<xzo|Pk5<yy1(0<X?$NRJNv+pI#dwSl4e<3amBU!#FD0I
z+@`ehY=M_LU^cQd!3y8;)!b40`?52*r}=mw#~2mlTgXNcQ(d@c4bw!y?HN4madj&p
zfC?f9Gk1M6{DV*4XRuo_oW)u7SXBeoD6nSRn0xeWFCJy3ov@!}4u5^j>Brs_3aFkx
zJ#sL;AFr$EkGnWGhnM$Neh8MJz}>y0q8DEb;?o0F*T%UQaQ)zg`F3YAl+2GEfbL<O
zO`|)U|G*-?X6fRgenk!V1um8v3y$Hu$#doF_!2(rJ+LtQK^3+gR=di5bOKNNI$Nyl
zyn@pYc5?7CsKQT9yUMY5leqZjhA%0UHJqP~XDr-A1zKy0|0c^%<4ps-!I!i*a4qT3
zI=G|^UGvXvoug-P_x5A4A_fE`G3E8myNd*Gi<B8<XJ+wM-C~Zga0awW4XEd&l3=*w
zxm|ATJZ|rnmmBws5ncYaD|>IM5=>QTJ*c5B;(7l@1H|2!(NE6J{3BC}aPTf+Ulr>z
zKDs+5=Num^Y85NjIp?Sd|GlOdk20^~r!bE|rC~OdZE*VcQausKzw1ibsOvbtdBRQ7
z6bB-e1uxj{Cc;3LaL10To4Ce9;_e1zZp3l^uL)0`0yqkN>S_>TKwK|G!)x<+(L1V=
zZM%&ExIAm>x*x@eZql;vW|i<GyOy@Lh(URn{F^S{z{QLvhZ7X*WdxB~(S|x#f;>n+
zQ#yaMng#W8?9y_5Cxmi$6bHYd$^%o;o6}`kY{(G{Z}3YLL9Fp7i}=Un;D?yS%;H@R
zWZrP_k#eXgdeqz2^zE4(_>GI-O7G!9Ld>ELtvAHcp9A4FdY9$Ezihi>k2NoPt$##5
zcTfV|HSA1mkC1}^HuB2T2!8ZRGjVspshy}{oox5&KRF0I@<7~sS^&ij3SVnZlScdX
z+ux+#m4l=J=d7_rA@r?C+Gm7Y1~s13WX|l9gT3?D3zF#~NcfFxfmNX_a$$APX)%+B
zyDP6NPRWX*pxof^ybkiHzU=hg`3`w7R6KY;Kt&wI@lQyfA`uaTp4oUph5|HeoU_~J
zEP);bbqV@!Q$h{9FpK6CB3w1fu#kVV14(AM$CisLqrc~$UTZ*#V31K#_kNc&s#)$A
zZc<Z4q`KMY6(bUuRdzZ~h3!J6p97njt;xuyS<ixtR|V+x{yTOJ$e`;N?_?gWpr9QA
z2QA&T)Zq6VX}H}*4qb6}@JXtsqG;v&|DHHgKrP6r*m6W3o$ocR?Wj;kPHNK;8sDk#
zlKA`hzAz#hp7rc+$)F)@(#5;=KN=iMx<Fs!P(tZt?^eRCG|)ilP}l)iP59KackFc<
z3EdgE;`_c?19ddMHuF5I4c2$!#q>E;5N2klYA>vb)|h8|gbH+l(VLh5v8yWDKRuN+
zz^RG;lak}qn$m}qK6d%tSJcqp8|jp|QVq0uz!yt0Hv-u+t}A^P$mr-<W{JZSH1vda
zayicuK<sCsA%_G7IZ5BTxzMVPiXV;(skj@%zwE3&b}I_viDk<0aiyZasG9?Kro-av
z{FG1|3d*z}4!mGNMt#>#GgGuppsy5P)Kj9MDh3S`dsk&->F#wf{I3b<zvzAPu!xLq
z=8mUE(}<|Bi9@)=!4z~2C^wi2)ll?mo%@a{86=Fe=o{vm!k#<Q$|JU_$o|nS-SDIx
zXn?OglKj*Zj7JkbZdNO!cOmu#OAkfRo2(~)58gBdu}yaet_3BesU4LV#Lt6xs`AaE
z?Mz{jkX%>Cs)*#zcJ2&{CZOn*iVI20CLnWDr@nPl9+3po&sfP1;WtW--#8v`0^aSz
zL!bW1BFVic9vEN!fmww1TOVRHft;qeefNIvLTVicqZ1tFu>9@C&5wiW&{*S%8Y-nw
z#)W;yB0V;-sn}JUz#(IpdJ<6f>!$=V%a);0zcaz!q!+=S_QtUCqFY){O$-g5k{USC
z#tJOWAfeI#aKdkFDD|x{vcF;U!MvLt(tb013NZ!PPSR}ua7h3a-?D$QjmQZJk0UR}
zUBE!*$CK0;eI9i3Q4aN3Hzz0)ZKY-|8bP|NNN?^RHst-;;mH{VE@&OPz3ph8AxzpG
zdq`tpLi~qj1N>#UKz$-a?PRq9RQnAchdt|f?E`M1?lDgIlU-&TKCBOgM8hVP6Z3dc
zSB{-<CMP(IjVQE9>Vx$UEn-{gIBs^8X{VG9Cs+k1JT7t6gU%N7E;jZ*xV^fA$kCr1
zu+Q3gK<|z&G~Y5lQ#1Y^PqTH(RY>4~*~RSIACo!|bwQLeo%9jw&${;M)E*8{kXrdX
zuv-T<PQTQS9{Ytgozv}=m*xOXADfe11=>)=l^tk&cMvly|HRiW$^qL5&%T+nYQy5~
z9?@6a|F8^Z53dFa2Y4!NK5y~Wg4~lYf317ZU|b!0BT~<BK$3X2tIBUph<KE2bvS7r
z^Z3eoe65KCxZGJ)qz`EVr|+KKk^xJYVNCntO$Sc6<9p_LT%!hj&oeP4&{nZfV7Xkt
z#RYb1{nzxZH9+eylg#sP>sTc*@i%>l3kXHy2XxzL@ZPSfm{EfOyRQdp=T30Lp1p*Y
z^T%jlN%`?2ER+FcVk%<CrFfyPTA7h^LLJ=fUj})+WrXdGWk!k7d=OH`#IPQ#4q@#j
zL*i`A@XWGhV>y8z2JXS-U`chD32JS4?7#vJS3A9fJO#ju?DD(l4HaAs(#8p|Sm9=C
zW~_>{AV>wP)Hb+LVGoVV>761w9J!RrLJ1H8<I|T^wfU&Pk!2AX`H%w&ZYnvH<O_q}
zwD{<r_Y}DHFfp;nj0+g**H)UxL|`x2{_=~UK!{GB%FT6dK!1K*oIWH9?-N{Hz=*On
z-$eOl3op=02MC9{#bCvni`kK#0(pPyNN3&o;obhS0PTeB5X5RUwpKxgZgR>#Q$GPX
z_3vV5^#MtUsZ~~y@FxSIP>tStRS+Kj!6rKmcfzfRDls8rGW0E5ze=eUg3s^Qwu=&_
zVb8#b6-|i@DsAhh>jXu>(<?`Q9(KVEX0Hfw6*2_RGNbC?ZSYn7z;jz48R&ix9QeYD
z46e*!b3wDBa8aqgD7{1$1_m}X_Fg8#y|ni>Wy#_YETtNIV@?jFzWcuSm?J|P*S(%L
zT?ybf(XP2>tpL|n|8<@*rhxU?*BU>Vc7VKfvHrv}B1q1AX#dQmfRVDViR92uaHW*x
zi0x7Wo~H^DF~U^1X;v>H>n{z|x?csZ*GQmo3Vm=bq(Xu~d(fq@T_9RH74vmN8Jtpn
z4cQ)0hcml7$Z{8Dpyayc^opx0wA}*LZ{jrA*yo;JbXOL*^IH^z%he!(<K*lpg9cpU
zVj=ECa&YtzSK7~hGJNm|5N~7GgzLv@Iop42am4#)bzUJ9@VxuXy;W5Uq`8vK&F2;1
zQ)_Tw!(R&Y?^bpn-|82-xy_0uvm&%S@#>;0Qz3V5`oEG-I*^>6Ze7fz1R-A;u0PyI
z1<{W`Vg@z!VE=5;kmQ6C+*&0~<e5-mw6e;vsZ1ZnoagesyduGOf#`}Eb}Fn!&KLYs
zHH5y8^nD|4%3%NDUH$Itt-cJ%+Z|bC1V6V)R*Uy41DhDL%gWZdpZ+4a+m8((<YZ2G
z3snU=4V+kZ*s8&Qem3Wo9|PQbvEo;|PX#Q8+IZ#cRY0b(cc&}e7!32RZdlP&pqAve
zA-s(QS=lQGs&He_3uf)f{HqKL`Rfaxa*1G9VN^OTLx;1;xpu!DlwmnOt0;s`9)9-5
z^9r1zgCnctX|p^M5ULLEVDgj!JypNllngqY(^NKkS)l|31JS?9xl)iO%w|lwO9!OS
zv_G;)5f}}MqG%7c13ny@)PIu>g)$3o`+|sY;C8rp8Q(TIJm+yHHHZ$qhbh%nDhe>O
z{Owr6UjfL8%aOW((c!1fn8;A89Q;}K_hvlG4Jm&86)wxh;Fhz#zTqni>;$3YoOu>l
z4UNftRJ7%fZsgTfP8qOMscLb*OaRp?BmZ&>W58WMo@FkThTlbjRXv(ZSWxkeew$%{
z5Ai0&nT0!na>Kc&Twoe=^Rv@hjs?ir(|KE%UlQuwp1o~k8NvkCXb*0SZ}m>H%=B`O
zI8XyM&p5esV*^dZxkOhC(g*+6EbbSDs(1hLog-T?VU>AjiECS4`T2#Fw2BB^UGSzz
z?Ww`KWbS69)ffT~etmcsO$bUGO4O!fpJT_2oUK__44`sJ@#=pk1mMWat1qKom11?o
z56N<x25@6;-0fLB9|#0<B)%Mcge`gAUOg0~4}&tid0ZLXu&v$C@ambDm~DS+--jwa
z*vaQ#Upd18t*0ce9nXJ{{Z#pG8Ofpt@9J)SD7wuC`yOl0O=r|&<xPt6zK3-|Iv<&u
zUuA)__rAtuakOEj79FDzr8=Mz92VOAkqH7;%-6-ceqd#`d4aLaI`FTD3tV*>fm04?
zeh~YOv7MT{dB|NG60Po^Bo7iGWv=9^e_Jo+67-*LW33h}+}ubuxUz|P&q+VA)*Zym
zdg^z5QqzLdBQ+hx<?C3~j^~l|$`Oon#8XHrTN85DjMgrztznxTF$oX$O<-%LONX9u
zX~Ho!OR?*#E7<Sasm7{^DeQA>@Q8Pe28_OWCc8su1)ETm<841agFVdJkxg8t!H--y
z?)|>Y*a>TzGxPpA?86-2Y-bP+p4Ye9ig7Jt_h=LG!}}L7^#~_&z=Aq_`SdqLsdou;
zRmJ(LJeDw_UOkgP=hdOloLg^tY6%-5gdf$twu0R}9Xukzqz-bId1G&AEMv;|hQHqa
zxrWJqv}lyNLWS!iw{B0DE@M|zZPhQ*H?f-+ezcG7q{5VBvwOVl3g+Sy@+p3p0FKfr
z;W6bDh`!QzA(XU=rKl^I@7c`=>XpCUM)p$Rvg(xY74<c2<Jid_-zp|x(^#ML`a*{4
z^8Moqr`Iv6&(Y|emMp+Jgq4r7lfgLfXFR!M16vvGGrzmS3QdK7lQZ_K0rCCvsIV>p
zssk+t6B^h-K~QP%Nv<k9d|1&aAj1HH#h$AdKX8J`x(9duf(o2p4f))uzzF&mwMkD0
zxgj>due8%n1+4kYIthE3AcNqquCC1opk~Xl@Lm}fJJKfXQ<&kCut=RrH$S`@y1!bY
zqYOq9p}ec(Ea2Fm*#A^d5Z?Uyme;bCgEjy9tc(NM;DpSx#v>I%P`xjgC&G*bV~@1w
zKT2`HsFP?*m8}T$ZdNjn_A0?}`Q|g1c}@^F{K*(7C<-B^9S^d%y!E(jmWa$EHxTY_
zXo)O|f#8J{4~M;5KKtwAV=F~IxV(9$Re@Ck0$wlPGZIsRJT~S8`C5Lc;@1*m!FIsu
zz4Y>rYl;vuVp@DaNDw@Gn>9WbO2OdWqm6CLiqQ4(_GO<)AyDIOXO5TL1+TeM+&&6!
z%_UgK(^y5I@)9@h86^W&SQKxVr4rnJYAI`6whaW&q(<>9$%1F$LCn5H3HI_};u~RN
z;6Kyo|0_uz^2&y&PHH3=cbUzN^x6)SzoOHf$wcV$j*nvL+wycG;k<pQB<ROF9N-yI
zgz(DWN9-Du!G+_~i-?CiK{H6lc=IU<uD&k4{&-3Sn$?n7&c{lFh5z@{g%?!7;yZl2
zc4W)T{LGx1-|PaeES^n&2Q?^++ps1xQs7kkbKWpkS-7{jKV+W}1)7Gv8b>!NFlXLt
z^u<XIhLaXjCnhP7%fU8Qt+2&c;u>%GU&+I98F)o|O$C>7`_ah|8XOe(Pv?v{5l94P
zt4luW&>pKDYCWp~(F+v?Z-Ny;=<}E9z!i09G1Y)qH?+Vw>u!AdXC?5lj9(gYq`?E8
z^umH;I*>SVLg6rnGFWaD9Fx32gFT0J8_Pfs%1qB^pH)!-wRp_k;tUPMxED4rZsj3K
z>$vZ0MO7$}yfD(hM+1eK!fV`QBgpx}EGs;x3d36O7iGQGq2XS$Ko2i~wcsz<yr2dj
zo|O{2f~ipPoZtA=5<rO=XXm*#H3*^Wt?_Sh47NxrsINDM!Ty8(IX~6lTK?OWk$hEP
zcr`*l6HA8@-q*S(Gt}U((c5Y36C_aOUFkIyGJ$JhUp!Wr)Syx2Ss34x0vvFV6*?7Z
z0$T6v?mSXf1^a;VUht5GvHV|rUezY>OIk<&w}1+4zRA-ZsFQ+YsYxlC-%VhfstLgj
zCqZoR(5%PyE&k##C>;M{0#RS%c|RI$y<cwQ$6qG}!TFZYux73aM1F1i7ne<hETa=&
zyIVOyMS+dG<cJA03BH^*_$v>*ox4hxXbf=0_}#qx3LPkQlwl?bIk?nS?rbPIgHZy^
zcpNU%A=%*lwH{j;xO(~Xt-PvMY`A=M+*XVZ+Y=`he6LA^sk?5lr1cLx$^Mh3eU33$
zdrF?oc)bH+VjLWW|BmC#BHROwJB-2eO(E;w^V=b^A}lhjat`NR?)bJR58&G*Nwm&e
z6l^r-9U2Umaay)}YMKl{=Tiycn<>J8c;5DNA6UbqhcwSL*<jGE_x#nqJ^}a_$gwv<
zX9Ks|S7O8HX#`o_ytikDc;RgEmpgQwP2BOe)ys(g452u+m7*KU37%8@gD7zm?;0r0
zh$uFIT8}`2@HtkHGOOS#KC+2drn_t(ZQtTC1)g@VZ;asLdN4k&VFMR<Y;Zr6Qy->9
zpP&9f-NYI#EZs6VHt;}smd0u`Jz&kvoo)AC#_FUTk31)?<KNcOd-q(@g{PUIzD%FP
zlm|{ZTIjFgdJ@l<ZhhC;;(#+7$aNB{m2vP;J+z8Xp4Cd)qoe}^@6LBt?HR(x{d{+w
zi(0||J$kUcKSmoo;_sX}Df$QF6S1YM)-2<J`(BO<_h>=h(f{OZeA}>M$&=-qipzNS
z1x82!E#R8w&U;BiSmNzpubw?$!hHo?1}2L&K`x(KGa{Cce`!b<Ejqb`2kkF7CM2v0
z_t=t3*_CVYi2$pesuoLl<aXQUstX#R!@qC&j#(S-)ca}pkKGc!-V#Qr-0IDy5V=l$
z)QNi)mo^ThFX0b8BJBDCw*H^E;<|gwAN<&3{j)namvA@#e}WQI>OdY8dG(F0AGf%B
zB+Wi+89(^PDx2=F4k401Ma%?;aBKO?Gk%^cczduM3w>eBvogsO78@h@iTBr3{5)21
zcFXD4EYVbO3wl^~;>S2HD=lVSaD5G5`OR@Sii-+gQ{S0TA5P-tJ3E9+SJ!db>CUA5
zEne2>xJ)vkPveThce}1;ZsH7I3~Wx2Dd2XF{-x!`3~po-LOAu3fVlic95PbLFc$r&
z{=ViM?u1EbRw4!@Ivmb@w?+*}GI<$Ewext+4P~2!5k{0?BXXIQK@EPXyRHkLS;VQ{
zFXt(m%&6u1eW|Y9sz4w4);6iSj7we@F?e6dg66uy%`MYZpyk?dN)68{e*M&6pTqiW
z=onFSTiT#9xDq!+4hpQ})iXo%(N%U7I_CXjovsXq!8T)whMRb*cxC$c5l(b_asBjc
zF$s7pwXfjy1azDCu*6q(9#o74D$a<IAUklN%0iG4Jup7T+J2M|5uTf0%G~O~%(6u}
z-5@3uzB$mLFwc*^+OEI5&!+^bQOGZ8kr^TP(4UKrg6MEKT~heABAB#fkGtovB2F2r
z1IK%Xkj0&d;w3FbnDp0OQ}AL(reBX%t)_~g{`Lps&w7Y3E>T;5%!v~zJ-%n1<RXe(
z+Fz~?T_?g=CgZD`2yS$?bRYA_qvA-!s=YSxI1%ne6hAR);zc3e@}IooB~a7~y{1o(
z2r84s^wSUcQIy?PBB6T+x)s2C=cOtUj+h>eY2y+^87HmDBkIx!MF~{sZ0*myXmxcU
zMF<gmgH+qD?m|-T(<kLTh!7t%RG&u@K?bH@R%+N~k()tm%-1p^sHdqYc8_mEU*f{w
zR%OW{+wW2F3NnhYfIT4TwTU5~$JL!{yA_bK^Mj^ZqzE3I@+H$f+YzDHyW~5&A{v=Y
zO&z?Z1Vj8xf6DlGplWT$vq%0YA#;5_v3)rt_*cO3($QNAIp1D=GEt|DIF_b@l!vxF
z&FH<7*Nik8uH8AY^OY((6wX=I6{ZT8^)Hj^jAc;PxepYH2V^AF+(C?VB7@wwZ@5;z
zESme9P^JBug7iL*-BJHc0aXb_-b_w;l<)iC`iUo0Bv-R8@<c!#wAK&UWJV~Ut}*_q
z@c-1&OC8Ve&Pg=5@8qbMJViwIo}uQcnl$9}NbFm_iYDCQ)afyIRzghI10&0;X=sSw
zz2ART3liT_ubUteYNT`p<_l_|r-Z;S1OIg3_`4bQOb!*4m2FB-RM0@<duvzTuIs^Z
zvYqQmiYgMgv*DyRO+(T)2^Xy;48hv4@PxaP8oIn>RjT1bLw6k6UVYWZ;Bf2CuCpU*
zXs*VrZufO{6kB;rK0O~`G~6sJ*^`WNKW%Ga^`)Zr81-a@G-EhWATw2(Nk)H~($m8k
zDCkS_W_g4c9b!lXzl`%_B>As0*youF`qlim5f?LoJ4QZZKAdFaoc!tY6#*rby6yXS
z{d^M$?I{-IuuwzEf<-gRrt(PrU{>G6iU|l=WOuh3siKsMg9~`TE|d@#E%8jz6x5y^
z8n&I@x<5X`@_{%BRDL_-y?}}-^z^Hd{d`F1&_-jMT&^%8C8aq(<}d}GZ7FgIZxoSF
zKbLRv2X0jORj%Snoe8i~-r1h}r+^}Si64tP7*OfuE7A@=CXmeI&r!=OkK#J_V0B#6
zc&bxlQO*V(Hq9TrVpWnwF-d~N4)H3yLFDdXhYNJL5Efx*Wwr~64D=-bOB}#zmP{NU
zGSWe>od3yq-%iAzuxUEsJBQt+hM#;AX$%=sq%Lh|36%KAH{{^!RZO6cS{1X!GYlEK
z<+V7)kk_26*6&yXD4!nTJ{SaBd9}$9J0^_QNS-BHwv52)ZT3%Z3<HOXoRlS2L6m8^
zqkTG*33x8^eT<qj0u3R$-`O|3=;y9@6<mTDT*MlV9bhwp<NT=-9K9SU%d}M#b7F=!
zhn8lhWDP-(r|Mf&I193`tqNy5$P6V#8r`}U2C&Qbv2bV{13L23a&u0c8E)Ub7V$Am
z9|*Y-3I_&P@vrJ0<f8XX;O^N!z+J8fq90@k1@ZGZ<-Wo^+fgR?T_4~OF{2Bg?)9y|
zESbb3n*tv9O*2Aoy3O?%JzW@dg>2Ed0ldR`w(LYIBgE-i{=J;61AV0d<JQwZ@OHJU
z?l(0VA!BUKRq3}jh*kQgQw!eV62b+1^^**cpVm0`M^76v&p$1@f1(0=mSfAij59#W
zt#mk?qXn*rZ{cflE5_uLqQ!Tg0fNZNt{O~Q;PYJ2zfZddV<{VcL3_ji3MGl&y1trF
zd*+S#m(%@N?~d@VYhM}QsFISA@*fRoQjWVCXf=X;D_I=Q<z|GLGC!NH!y1s-q@>B;
zK7oaL5rPFzF~VSiOt@S#4TgPU+M>CpG3}<5_v%B8;PiGwc+{E(hiiPJ8H8ss_Qn>L
z?-!WBudUHqv{fBa)yB`!xaTp9wpBMK%&<{tUX$yf4y|qP48_(KFeavt>?h?}U}f&M
z)%gJ`JUjR!Pkw9(D?O=YmQG@YeB-C04}z$$C%ojI)1MXWe*gdg|Njh^ha=Wq7>4ca
zy+`(V@$%Z+ds{_CDWwz{Au>urLrW?pA!S5~B%vq?mESK(q`o2|QOU@bl^LJE;5_Gf
zo^!7IQfWYTlgk=dS;)?qaO$8(_qf*XUrY4#T!Aki^Vo6FM|;31mj=zpKZ}mfF4Hqa
zGF4B>a^lrBmYHhM@J091@9|^?G{!x>D_P5hE6G(}{cp6feG_YNZ6zZX#;ZFhH+T>n
zv0sN>SQ}o6H>~xim=LSKyZ%fXA7+e}{PzTDLD<VS$=I3&+J1k=<$v=-rDat3*hea+
zXm^L23RtnuPTwt9Mi9oTiGz}sRP?Wy*zi(U>z)tqnm;In`G0cRa+R7$NH4g-^N}5X
zdlv6i^$26@MlYkAR+?D8?KsAAjT6<fO=Hg@Md9Cloaa-!1`>SNAE2M$#)|N|Fcxib
zz+R-w>a+%wDzCLkC-5T3P-^@kmm~sAo0BR{G+>z1kih20kElw=xQBewcvwem*}O&r
zW6egRuQLT8;JyDtz4=;HT2Z(oht=V(!Fge2L=eK;FZLR3kc0o-xC5+%>WK8CbolNR
z24}6IRpVuOP*QI>Su$%N<!x$E+)oi?>`q@Y?@<8v3)8``78(eBF!Acsc`;-td4y?g
zQ36pUM{;Coz?fp#>aj@zuYKfPGn$l<eD7yRq_QTqNDQmZ=tx0pzk5iouPQ>7_y;UH
zH9^M7B>!h5gQyU7VmAi`88eA>pX#V!_Ap-?<}Qo-uI%??E7Wn$zfrbxNDE%lA%Cks
z$swglxyw0N6RpnGi7cu#Z2bIu>r(~=^hZ4^m6g*%dY{_O)&&|eVzQszHCM!nh7O<o
zTW#>|o{?3Z(!r<4iR|PVC2;ZRpFUMcgOpO<?<4^|e7IkcWcywjqtlC-#hy9{;C$tA
ze}_K&H2n^Fim76;B)NIRq7Kq+5BMj&GC<V+i3uflHMH-SNoxqxMaN2y@9oV-a4q?G
z=JE{+{MR$x@~PHEV#K@UKa0kQp7FIyd9IEy0f)rOR$Z)*d#IvCm_pBYn11fH2HGC3
z*xxMG1$E!$n8>T<@K&*~Uzeu|{&l;Qe{a%-_`;iWS)P`-+L~)J>PkhdKfkF@o(>*m
zO;7C*1S}QgLpOh>LMm<>Pv8q0eAl;n2K57ZBU)8O{95qjQrQ`+rH#tKnk$ZZR#5uX
z6|sR!3tvpeGB{3Z!f!w)`<%TsM0)P79Ve+6?tCD!c!~nnIUy^iMr(M6N}E!2so-un
z`gFas3YMc^4JT7<5LBH!;o_}{8iSlom-!V@oTPI`!p8>q#AEK^ssXj-BiGZ*Wg#m1
zj(R@I1}dWd+zt}zIH>sSn^LL-R1L;-t_IoQa)^9aQmGmq)=VDWFd_sMJD&{}Ha4iU
zlaG#8SA`hk+SAYO@!(tk)m9%y8+cnYhlM04!>^cG^;#7Rs#A*nrHibQ+xH~L`L`m9
z_}|1h(--JYwg#_VSMQ}>t))S=RDd>l@lk^LF#YUzn~5tOR+!$GZq%9~ho8!aza=>|
z(vQ{1Z@TJd1sj(Mp-XGl;=8>;gIi!T5i+e38#WI7VfrpbU6O>aXggD_cOS8j*)S_D
z5-8MeHdT-khjID%yp7!$K|5|LL@)sVwVv#{8X$rjyDOZv^(P6Fn65TmaXLI#KCGM_
z5=5+O3Pn|QnmF}1_2E~2ORSk+x6|%6KMwL_4M`f#5X<EK8JC?FI4iW?*pH6~e6wM0
z^pqJQt?gqMcZ@kk7qiZb+HpY6F<)qN@C-rStZygs)C}@->ZKvySRqk!ctdyJG!Y}G
zW3+M16r$W-bAlh3u-dx&EYj0Nh}W*MKrK^LT{&O&Q-}d92^#r}s#8RH$iX<-BPQ_R
zK21Hpb&;N(?##z5GfCj3@(Z3CV|ec9o*3btr88<<)(LS=5XQN}k2-{nL7B399OW=Y
zUpTfUS!-sTkUC;6MhiB=j4Q2+{qH#4E=#{wcx;rQ9q4kaerE_NE0%#7$`CzWx~N5*
zYlNtC;0~~$8e-42D#v-zKKiUQ&A!}ah&Z|KNp(<)0hV?z-x<C4lg^@M78><wfG`_-
z_(zbz0RO(eVynLNmEIjjG!>rtO}O`2&n|`P<7^RwmjcmD7dd#XWFnxS*qamS{jWz4
zC6ytX-AN7f-7gIGRL1oYgYW-b9p0^n7RC5cOXX^M{_ihLxj%b}JBbc|a@usk9m)H&
zL@}Q}WRT(ZF}Rm_cj}KfldCS~GP9EA2CflNJ%W&>^%Bv=e;y2f)q&u-Ft5<|Cxphy
zZXQ3CUP7hZb;)}5U(wHT^z$hq3D(}}wMm<M33=gw?6E-_wqE5tb*#IN;3UT~>mKwH
zLE(xIzeLdROZJE0{lfQz#$?u^Xrn%&xG=J%myL!shvGS>gqny<k1JzWXZna8-bek}
z^|j#~_4$uU#b-kO@%z&o`uYhTTHHlzPc0Ba8*Fl&z7X{a2a_V#3=l{18xprAQxUp1
zjc)R*omf~*Js03UNVv6!CrP~1#4WCdsP)m`h=GGu+027Ogwx~CdPml1BGZ@filcld
zyvBdV))b8pw!7B0Ic(4XSHV$cji{f*jowkBws4F%E6)8YI$0fCZFbz-H`-0OQxc~J
z!~YO^LF>I2eo*ki)-P@*s)xAsT*UR+(+NV^wZEiDmx7+}X4?W~`-n1s2hkzPDdP4S
z#?07DYG|pbj|g17Pgh^(){FVmgdtyQ=CR+Zuv7EsZ1^}p>=RIDVB7nb5IH9maNa=`
zVLqYTGJ1xHGLMg(j&^f|{*hD71tlu@n2^n2p)yKvZV5VC=dnO&xe9z9kygR8CpYE}
zXN?mpLZ<QiN|p#F(S)yiS071X?0bnS)d`}&;#*rWeT8_mGPg&DRT&Teu`!&uGfCLR
zJjvU~!AS0^K3BhSl`Fg(zOWb2r-|=3VouwoF_CEvEX}gaN^rZ!nGLqTMEchDPuRjj
z8i-0b|G1=x7<RQ2IrFo`h-)U(Spzom)}Qp!UU5b2wVYN>U%Nnb$K6_YdlNeuGxJg|
zw^#w0pBU@*9a|!tv@Q_0GdM}AAY(?Mg8~*_@%O$FTp<p-P2Oiv<{?!ZzAZl<mB&}N
zF>aPw2J*R%eRahI9~t;5BQQNf9@P;QtmosH$UzN(gPAb`B#T$he3-L5+*V4Z?%T4E
zH;$KW(l-<$!y;^vEF_PYXIeXtYqF8wXs+9xghfc{*n&qXzvR%&{czaNZnZv}mZTba
zF|wU+T<H)ghyS_~_9&!qk`|0My%)SC$a{YcTP{A5!@lVq*UM#i$OvnF>#Pnb(o+9#
zLDge9uy;h!!+!ITkCckc2Cl3n`N9nZj((7X{?ju3;Nt>h<wQ{_6DdbVRb;&GW|l`}
zlUrH6nh;s19jD9era-cAcs74=lLu2^dRf}CFgd^EyPsQBi43=}-zU~Ck4oSAkjpEg
z<ZWlOl?&6#WMZb|?d@k3@K?}NiAzg@Jab%DvVU5Y%o<3owewQM$($((?szFuyYJ(G
zxrjQ+s=hTlJ6Z`({tNs4PI4_NaUj2-*;$hm?kk_;?^Z@-TZ@%>upHT8<M2HBt`>P_
zt#3cW4ONt_=@cI9l_!ObK5LnrrIDvTzmzt~r{K^2%R$XyisY|hLB9Qub;#Oab$)Bv
z)qGf0oh&P?On$g>mg`W5E_vzSsjm@hv{Cp}!y~9xg-mF@ak^k!kCg0@`Q@RfgGAw`
zFDIkb$j96GGiCbp$;>NHZcWPSA<%qin!`w)oat}x|59i`vIOeQep_z<Ck~qam3|Gf
zwPp9lOL~T+5W9K)i991PWE^nbcZy2p2rp4;4;Yex+b&5uuX4e;z;1`slorWGV}E+x
z&X7EmZZ#d$Y>qeVI$m57G_vyEg*|ys4aj@<Lz1#i(9!e5PGQ3h8kzQPSMSbpebUWt
zgIEQJ71&<Ztt<@E$giFpCHW3|B%bpT=@!;l>4=$-;MF1PDe+l?$8^Zk3F&fvn`~fy
zyDTtknMTU@>M=bm(<0x>ZPhxWZi_It>pPb!X(Yw#ZQP+X>g0t(R&~cd+QKPJU|)z8
zjZE0EvcpzInN+&`n(eHS9XkFF%s$l7CK=cj+`Kl*kq%L;<GMa}aMJ6ZdL2(CXZ@IX
zUTzm7{T6L}ce&c(Pk9SNMXm<<L-g-;?Pok>mHl6?b}2isy1QnKU7(O$ZSy$=(f<hN
zq<i0-t8B4L(o{u!qbdmn&iZe6J`&b!c?Dn1ZIK)K!Dr&15_w|mlx2#{1buznxrtvz
zHmKHvuG=F8QjbR1E6*`Na)Ql2QP2i||DGFucR-Fb@7OzhFk%h9zSy|MGu#>zoKD*;
zj!Ba#CB8;Z8@VC$dQL~F%?h7$Rt7D%i<8zn^KO>E;Db$rmYKSx6+-jk6QaX}Nh{7F
zX1_H8DERl;^mHMRV(fbBLmNN&_WP(A3n>7R*B;pxasW@N%P|)|F0yTp_=|grf-te|
ziA^%0W8q6~)+c6Ga%^yYd9H&X?7Cb!6|616)*w{BUtoo(3JT0|u@gk+xzV)fT^4ZU
z<TZ+<&JYrpEm{w%2qKymbRy@ZIg~f0ho>eF5Z-TUU&hP}AZc%S-Qf~57zciCc|dO>
zTxrzufO-MQ?XO(^JZg%q6vu-v^Xup_Gat;}W(Xj|F*38lz!VwtM`S5czv#nC>x050
z1W?YfBB_7D1Y`T^Pkfmjr5Ad&hj#20z}mVhr(@m5Sa;=e;|BF<da{^(fwh|eet$eE
z*==Kt@+GBErp`I~bi4RH@%;kG?y2MYQEUViwHr1iO8@9*t#_=GyDR{m>6RgOStGo-
zl6H67<<&W94VK)g6+nJt>o{+!A;j8i4juMl!rh}=uE&cA!r@OPSCxn%>Kmf2T$N^l
zu2e05%1J?dI4c}Gm|=iCMfQ>JuUXNlui|FQAcWXIDx66ws~$1O!p`Wi2HXl;l!a~z
z!7EbQ?pcLCt{gaQ$}zzX=PL;(4{R33EoauLaA$qEFdpx`be0p8pwmyD%81}SPh-UN
zA3fM}IS1y6aRZ5C<-6HLQB|+ebtqL2?l%6+{7-p6JIL$sjzbKiYA&{Bc6vx|vaD9z
z%ZG9@h&xnG9Q{YyQ%e_gaczD@V=|r}+qFcKo_I@uZR^Xc4i&n%=wlQR6E1*5%aJxS
z6_TKJZu%a7QWwrzw;C7x1#y1UHlbr0(jYUq!=;>bF<zeYZD79;vYzlKdsWFGf3C5r
zNL3e`UYZ6~L<ys0yx2I|R~C69jM@C$x@enw{-`ib1g9+v>CQLgV9ly*MqAQBMsA5#
zTZ1U#wtRo?aX}sv#rThBUI%ygGVPP(5yvi>TsNy&1@xQ?{P3Dt7h}R*wIV(e_+7l=
z)t>}KggWq_KP#h)p7mTTYu`)a?C-^{*&HRrpQstUyj~YYE|(5#+DqfM2=fgOLK)~0
z8PSZ<#hR~~7v6u7LBrOxv&r2m7z_FI`AL&5OiH9n*&<~zZ}fi67B)2;>&fcy*4G1b
zT+8{p*W_R!UGeA&g@QEMh8T~c)tqUX;GZ8R5Ahb2;GlKtsAU;2OEuL;k^b*aW>*C)
zS>B`4Rz2y}??9!8KlE{wxv7n`T+IasK7O&?u8AYZ5)ZZBG{E%3q(cW(m2mq&6kJSJ
zbDPhdlf@y1aG8&p72s8dijeQKLyJ_LQImWu=W2wfjInjL<I0ecP^kB~riByTk^xrR
zjPcE+cVz8b6^v{$Fdm-MLhZnQD=kkGh#oz%Z)cJ!#H%NlLzJ}fw0q+}#$%@7mQOSF
zaZrP0^nBw^K5eKmX(YAWG{fEe9TF)+YS7dy%dRWa!fD>C+nb41A0htRz5O5svr04`
z2|+C|JQq$5`e6YdLe|Fn3k4zkZx(`8sThC!IU#q-5`#_Q#%!xT_=jpfKQ^lYDff4~
z{ATDl#B}(Uo589lGTXOx$Eo9^@j(HGP=K@KUGE9XY9GUWaHwAm?_CXEy#5TRi&qqs
zPgCH)@@@xJLKSRlY=*K`tT6ICwj()}f<sZiK5W)jMv<R{!>q3r?9Uf}>lC73F)zaO
ztDzz~2Y6d&6Rp5-W#&*^kQ(|_E~eyK$ir8rej+d53bL+!!<X|^p_aX}pXbh66yy%e
z)IG4m4cXA$nXgq4!5#j=aYhnCLQWkoZ(1Q<Z%B5gQ5ior?O&OX69XA=OD*t(74|Tb
zp1ie6m}2l2H4PHRZLiyzlTKFPa_KncUb?!k61o8)cLlKXHyM0O#0u&?_M9^53Q({b
z$yyuCi{@<Kn~$0STK%0ExzqBP_H@e1u;au99;egmE&{%H&ZL$F%0azvP9gt28v-vM
zk9RT#-gob^6|Y>2Lk{yzN^{J3n#im0yPghlN9l(LOQm5HaxikKiV^NnLkG;I>5w;k
zxZmZqB%=QdOb%jWK-{Bi_lAQkVQG^l95E>l-V)2*`Zxa3hvK~7HomYxg38<W!&YMG
ziVIhGGqp(nbnWKy1|ADEFdQ+TD-}UCQ{r3?`y#zM?wjqYz2<0lefGA?Rv0T|I%Q7J
z7w9(<nqC@~nL$te(bU!jL6mQH{hm3sK<{AK-OR>q2K9$>cbA$3&|SZA>TuQ~{b(IS
zz%GANEDrH5i!}1%fFr#;K7Wbcs~N`{RcC@g*RAam4SZ0Nxh<8(yi5;DFZ!B7F@eD@
zAr?bZUX=763FW)DLjO24KHHRNjLS67z^DD(2$27=ZK;L<<>$vn)-4&~zDlRk<3=tx
z@tu0U^*=^Dms8_l4Kjk6t3!Z&KPR5IPyDQyWJ2tb*Ey0u4dLC?bhlWK6B!Xy`x-44
z*wq}qdVQxM_^3Q5txGu|728ny?hNZHk3x82TMckeJ}V-74+lj4#vcDR%!Z(&ZT5>h
z4A9Tt@hw-616nKTeb<87A*@5m;qB5#d`;!OFntcBP`I>(**PH}a<RF?Ums@#H?^O3
z=K!bvU#H<0T*%)T$8vU757g50jmgCv$mr$z!<N8<R`aPzYP=pKo;>^UQjrs$=gyku
zMe`wFM^Z{aMGw-~jyCucoWK^LNyWGPuwL2Dv;U1Q98#av*q-Ks=98+KZQTMm#$DKR
zEKnCbwYD!^{J62{YI}YQuMi%8P3*lTqKgTi^m{)J@t{uZBBQFaFdp`2Za03bgM@?T
z<p*<l;U_@3^|?R<)RsM`UYycF*8T4fJ}vS=^YIIDZ%Hvcv_AUt30((CwliKUFIVSV
zy5^eGU2*Jl>Wh1^MhDeYCb5)c0R${Xzgx1G#F5IL)cAH9QX1EhPA3FGhHU1!&moPH
zzu`}&AJb5GDQw`^aUl>v_nkNYmO;=;-icqSG^EX&`m9M7M!&=Pyv$#+=y-kdk@rO!
zT9jDM1Q8-&dUE@E&p$cvk6P8_#M0n$;tgjBix|XD-V8I6P(bR7s@#c08vIXHWjT3^
z!@Y<1dxf<k6d34=L?I2YlwbWzYL`Hl!RX69N0l(&;}DqMMuSD^`0{aoDSVyOJb&i7
zGTPHWzf%>}LHQd4vY1x}Ud~j8Pi(4K3Ug&t2+%=HS)|;?4{O1fYQIl%ry8ik@*~#G
zI{5MA?$*&QtM7f=-D<N!3dZ!Niww5u;$594UBFHr&o%7sE-a{HoqxLdiP2S#&(_SH
zu~I;=_>p5%(1bsO{|l!aJ@lJM+|#gC1lOsLy;qM=F~NSp{cxB*jQfcS-wjHuoPNGm
zFi{J<J2u|p^Dsd7!O7JAEy{TNbf)V0d2OVqmW+q*GsO2U^S3Xzsi2Rx@$6+)8e%C;
zmqucY@b%8%DOV>|SRAc2*AJ!P(Kjibi<QQBqg+)NZ>EMt%Mdo@>oiPws)nvGm|~%C
z;&zP)1^4AG2A`(Ta5yH$JjcZh?6XGm5^WR=g&qB77)S%dt@5UTVsq?tJ}p~vR2@8j
zoiBL^(V)@Vn5)HX36Fz`dZV-I(7U;N+b&scNNH49vpLey+_8K6w@n(DvYY(w@rsJk
z^Y-<>01W^9U2-y914h%VqNc){;ODf^b9xW(1vGXl1!<tkTKG<|;_5k>$4+$GS|P<z
z=g}Qq4OBH|3l98K#q)PN(nD5x5qwLWdZ=C<YTIm1&Xp;{%{SU)U}80&_sJiq)K-UM
zP)Hy1ZbgjLsoii=v_{uVbb>|@1&3>Vd(@cZ@mj{ux53OBCR5c#Z_lcsoI2vk7$JkQ
z+9tmX=GNHceMtE7QB~ZrOFeI|DuF7G_=0#<Yh+QJ-V3^_AoAJw&k|Z9sBo{%I=o^9
z5Appm<_gOAIc$?#m@a_$hu5mr-&&#PQS0b`-HP}bG&r!Oj~gGg6J4L3u|i3Gv<fX#
z0nxhJ?sbuCFrr<$m08yccdq~ZOm&rq-_6O`s(vPv);G;nbO50PNuupya`-kY_2aqY
zGF>|>?uX_{;8kj>d1tK*=&3FbiZ{>EAF=vuby*8Muw*TG5-tU9r<YsOil*pYYDQC+
zj?%&Yb+9nRRsxsHO@y_~{?KJk-w!?U)Dq?)w;wbZiNUxzW9_=T!*m;$)-m@<3vmAD
zn56A2f?$<(`BEtZ^qgGptqD37uy<398%z?yghu|vx_|xj?IsCD%;Dzf(Y(62c|ic{
z_KVXyZ}rptwGEDXSDE2+Liy}`96#;`cr%*eH{J81^d|vUGZY5VWt&g&;(mp@zI5pT
zJv~oGZIg>BqJKNec^Pm+M9=S;MZ*w%$EE5@&HE;Z?c}0p>u@5lMP%bA|51AT6_M6T
z1{3Vl^lUs3$_|!hH)C&;KlB8ZvfCr>#`x)P`ATer4d0jo4OoXK=njdGpOq6v*uJqY
zO(T~T^u)`V0k5X$uA5KlvZ)w>u~^2sJdp+Qi_tZ~&t~YJwJm$=6AkfjQ^d9D5@y_8
z`*Gw~!z{g2R^k5eiUB-BF130yFvGAkJi=yno?aHc@xA9^1B?m1-Q94U32K9-$HVAL
z^tXxbFQta{5%joP*iMcKx{P6y=W>_n)UZ$k;Z?p=2g>$s8fL`K$<yr($qeY)6GmJ2
zTMwRIjWJ~%jA+Xm{k)-<5yl@*?S6bf4?(>VVZ|eiIJvR!nVdZ{Ua0F`_L$ZM*TqdK
zb+SzGYdxKHjAX&M>R!7YXLO-_iR1lH7!z*H_=q)cX2S)!TmFTDx;VP;@3coB6Wl#=
zgnH-JfV1%2WW;?Pu<ckrLPRiwrz7i7VKoQ-ec8^?VXcD$WzTN@Q(-}fYU<lPce%hN
z_Ih-=n}%o(fz~~LS&$u=_rbfE2T!isKbJgDgKClJ_s~98cq`xh>ej`F|F{Q=L$qnY
z1=kjl88&EI{PJO!7QmUdJwYiiv{9pFDi^834v`?<#uuJ~NPk^nFR7vpfsg<mrsEvA
zwNNzDS}lYh{sVhmGPN)@mH*XmniB>3eX)VYB2fOr{Ain;7Q{%Qk>nI^Y|XK^zWz}Z
zjvJ2}?0!N;e?!2358Qdt6#UaA@Vq$k8TcfA@1TNvfzV~7tnQ~^i_4&gBpm9^{K~kg
zm~wpT&0#74YC`^=AvbA+Pu{j^_@aredrg82eFRbACT-1nVl7C{&dt%!G!a$oIQ2PC
z2x$h?#tJVvxP|4HohjAC#dac8nOOu1`Lzt=Y4UJXO0*bwtBES5QwgpoM3KzJ`}$Uo
z0wjGtA5>e`gs&z?TCkuv5*Ag8Y^{{wu=cvO{7x#=-_%Q}*Gb@okh8|~5@l?R%8nN4
zph7&3OL#I>3T?46^Sm@w><nHLlzmYPQg4oPKDZ!*8>a7@9ABt`H!c6s?fu%AxGItw
zpR($Q4v*QLoz?M+L2AbZIt}3qLmQ*N%V9UMi{Zkc268=WU;7Wx(0R;wKw(857YdrM
zkkM2`tV|ASmFi&N`<4YWbwwO7FL=elstx;q3%{P+)P?YqPj9*1m7p-qrLxJChO=Wn
zo+<@;DBRD%yK+q#LtK+`V?SuCx&LP4tFQXt`YGt1@J<EW>UTGL2I*j#CuJp4(-2I-
z<tONis(7RB?<C%?0~fzHOgC>C;XB_xr~9%Lw4d2)azIKK-v{F4k~B=9{I|5^3QZk+
zxgUb1wROQTJ$gOoy(zMDz70vKXn^ro#V2MST?G3q=uJkM!@9+>#%xXlnzG#4Z%cGw
zY^1)URM`>}TV6*o-PXjtfpcdQ#B~ssG4?CHjt;41<~{=<D*BW-xZ>?-_^`u9!8IR9
z+){V0-H8f$3G#hnlotG@*j>_gTCMuBhf=X46_FhenngG?!E({FZPzNN0``nCX7f;S
z)x7fN3ug+nGi1hjg01mzd{LkEswQ%Now7T8Kn2>G`DdQgTVp)Pw)#$s2CnZpvgPYR
zMTBR})NnD|fP6pLf1*bn$w9~N{yi>-JT<YlbZHxSu_&B7T|)seG&8i*UJCyM00960
z3|DtJ)?XC2_jv7<_1a$EVejv;rBoV5lu{%`rH}|oiX;?2%1o3fQX!4+m7T06iR?}G
z9zTEH^PK10&wZYAKf|3T(C3_pIe6^5Ojrz3hLhj>68EnNLCjU<&994Q&|3KX@hra*
zgztQk&a1=+FB2jc+di7XqRoJCb+Q6Tru(~|sbvRq3;Pdk7tJ8+klsaK9(k~-mN}qu
zh5=G3f~{on?f#bJN%III_`eMw%?Mb=C_a}==H8e>6aDMXhbuC$+mX+uBWD7$N`Dpi
z#MTt%%G$d2El7b`Y1U7rv35+=)kM*#6F`-3bFx`*2hb7ug_+yk@Z<nUK)1h0Mh6ye
zfVPbavc0nyG_F;AS8e=?7e_D3CeL7CBea!nSuYF%wdFkBEIqhv&rAIrJ`6<u?ABHC
z5QL$XW9wsH1NhDF_YCK>O~9i)qNj$&55w%2mU)+k@cl72JRZ3j!~9ZeQ9PLdM`(Qk
z`GgUC?316y{<}uNl<WAX;tdzvuo$|1kZlBaa@(7;tHu!ivoEnY=*<pVhw8&c<cINz
z#lG<e^oAhc8H7I%V1en=3k120LHtqv@E3Ut1E}vV_kHn$5!hehf@8V;IK5Wl@zPj*
z$oTN^W$86~uyxG3e(ZQJKAU3VMCjCm{XUT|YDPD)B_Bo8$Uj~9ohtA6DY72CpApXq
z+rNfs)jW(#t!>8->3Y#|-_nIEu5`zSY0KEY`NShNkG|n~go<p{AsyIkpY$vXS-|%6
zS^YKOZ^Hj%F>Y||)PZacJ0El9IqXZ4W$`0{DxBfqpU(ls+TghImN7|n26GY^sB5Yy
z!AJBkI-?!hP~lbgWo3Q}qYEd@Ew_=dp+)yd^;j(^zrg-YM|uLw_UGF`loE_odAx#1
zrv+^yebnmeQLO);+3wYjN{nb4x4Iap3I6Q`aWd`0n6wf1u2hH5Sm{_JSM;35_IslQ
zoa}}${?84L2kqK0g3R#q3O^0#TK5l_5gWw%(uU}J5C6axmRID@FVKK4x=6TPYXEyN
zJAMv#?ZB$sK8@WCrh&b$dx}MJKjzmvkP_nBg%xs+yE8D;pq}-)daiCic7?|<Yez{B
zcHxj!-pd3ktfe168zs<>707%YvBLW>y}&!J(Xv$FAC-5!s?d*p7$5v$+&O?fqj#{G
z^rC<eDV0yayC2JU#p+&j4rA<x;<#JylOeBIKCz^`AG@wvn|9w}6iW!i<{s3l15fx$
zRLZphteo`Gnc>qo)_F|tD|J&1yaVatYU~HGONkO2UI(YJQa*;vKtnay=v{7}-7|y<
zznoz=kD11NKN-Jp3MGM#l+W6&pkZu<bH~B=OtY9?`)j_+T2)|WkSI?5I)YJu@ynl1
zpTk5ahX{`ZRpDHe1-a8@4C}SEUpeTsfXOm)RnDAJf$lZiV|gMI7@Jz-iFW-ZZ0kW|
zWdTx#kzaNaOKelvuKbJC$5ty?ZIheAS1D!C{=3h*Ol%sP)|7B-y1s_#n#aWYMkqn;
zjnt6>yBTci0_jJ`;s$11`6m3{xFW<^wHp6=G>bXR40R3dr-P==5z(WE6(Qxxvvh$S
z^H>?xsw}OM9vnV(EiW}IK%~5aT>AS3tl+!Ch}>yL7*>7xK6R%8{H`jj6S=j7O`hL$
z_oOhxo--E1cRtI**?Z@#lOtBJFLzbn<r7&U|9!lV)_!@=6T4fSUA%@>N96S+S+m2p
zJA)f6y>jqVx$wNH$R^fB&Ez-C;RI)1ZKaGrImjw|-%5X!4s?DcToE?pfl)W!m@;8G
zm^HbO9`ThP-WNL_iishBOXx{6W1I+U%e6m4&N4#3QP$;p34Z9EW%{_sj|c;M327<Y
z_^SJ&*q?qEfHYB(?k*Y;_6LSXHcPX@jZb?_E6RnSW#k@5_l7J?WChKiGG&KD!ErUO
z8%3b1G+2WBw=7KB;a%$~oX{N7$#a}f93~GIoZeY43z<wu8+=GSaME!+<ocZ*ki&hg
z_gbSYC=FFQPJ|M``LFNsGIMG04K^~;8<qvu&38^!9Q+`5<+go>ge+)u*ZKb^O@x}v
zY}t`_0>I@~d(rs~5i<0m|HcFn;r{g!m(}}1a3u9_P4_u@C{gd*@qLvDM}Ay*cRob~
z@=6jjEq5tGu4bpL<TE+=+PcTeuU-s(1Vr;@SSiECR{=%FyYldg?)J||iaTJ}$UeRV
zH&v)h%ar3QQGmM_c-?zmNdd`ENN6%a4dmA2m7eTS0*$9XPcN0p00(Y(MdlY7X0tym
zeP~yPVXN~=x73KxDegV;Es+W#T6_vur&XagF;lbtjT|sD7Vw*t(_nwv-?#UC)PZ8*
zKb^Wy0rrU6TI~9!0gVUzXNYRlZN5G9#(7y0p6{-XI@qBJ>*W(y1UhM8SRBljnzy~z
z(sKc6AGY~xUMbwPS`%hhCO9VctAcj6&RE_BZD1-?cxyeV4KHfr4*r-W!IPGAwe#C&
zmwAJpMqND!srmN2FGwBo%RQO2Id#C*`b*izVgtBS&*8=On+%-7Fa8_;rVXDR?epot
z7${8%BQypo6!=r$?a|SOo(@gUf>sQif)CWQ`BQ;={i@ALvKHKa70fNFU<$S3`F9#V
zQo(8UBdZs#0n1fm?&O_ja7jy3mi;#sI&uvs6X&TwE~~xAY-0|Zp_yo36&2{CIEl1M
zb(ol_5aAH9fV8Dv^@JcQNR4HiHt4DV5<q8XUs%9o!OgPVbqWOhntS^Cx;#7?>sY_b
zWeK9uq#{ZI8EOOF52ut$LkRVO&l1%VDE&G2Mmf|W^wjfw-7aBBtohlqDPswtSG|kI
zR7o&Sc44_5%MCc6<!7S-3%EZz8`dVF0)N>E!f)?vVjn+>aeldO0nXwND^5)*g2ixF
zn)8o#jB&A5NrK%19w@mugqFxdByW0hal<%n(Wr2BCBz*1FZMTx2N1z^-R30M@&+DN
zH$A#CWCkxTUF}`9kO8$+IYNgfGkTNAny+GK2J@9QnT`8)K<6E)TMvJ+qp9b-t{ksT
z;rCtxS-(A^P`&BZPp`s_$}Fl+mP?t!`D=%WhOvUc)ja-O$cq;-MIL5Vz6-Exv8y|e
zmk-Jgiwv}%BA~=j$3ZU^0Iw9SJh4(vV5>OM(cVBn&r%dpKeJ=-I=cVhjX%s_!(jN3
zG)+L4bWQ(IgiOHLqx!3N934pW{$4hmBp{FZw$o?H#y}pG(RdfVg!L<K-Q;N{pnJc<
z95N3Y!L0w^X~jR2n1Rs^ufoR!R6tNztcx;)@vg~ai(h}RomTh!lP(d^%_#1XzA6KN
zv1@})!--fz3)z=!O+ZE%{lprF0nACxI2ot@!e3Za$|w*CsLbbCg|3S}#Bx<U6B{4G
z!`YV<>)8qD!S4fs?XUEJzv%Y_A#fV+e0QbQo}PdPa<Yp}1oa?`FHFC0a~?0z;aXJW
zBp@EAK$nqVT?kox$uuIpf@dj||Km_0Abw7xYTq#(I5tOp)H=S7U&!_(*t!x>O`NV&
zq?-;TeRlVZ)TcvJE$v&Kx!e7>ND?!@wZV%ayV|Xf9{v4&lN83nhvc`oJ}0_rL(o!C
zP*5NvisS5eZ4Tu_55uFood&ePC?oBL=@t_@c_qcso|hjbtMHw-@Y4c6Eo;fgVJxUZ
z@qk`*IX}AG?xT5%MGItnHNFdNvLb$=KKYd^0;t+gj?|x}3FEt@7c;}yQLC~-1<6qm
z9buBI8#C2}VU4o$6KtHwF?{pd8#^K7!RYN>IjRAyM9rps8C-}}(dnU<n=q=(ncww3
zMFXzzCO7;t=RxUNNtt%BBB+L<{=|H*23RH=k#=tIqGgi#tK1)=s3lf}{GD3^c<(U2
z78xd>^0d46It;}TEpcBV-47b{NERNO{KJP{ea&#ZfJ-3iAMToqx!XP`A1^8H<wy0K
z8aG;xNuuZ0!bLM-H24|C&DXprfDSMJ$4r!wMsCx2b<Q3%Sf=vayDKS#s7fUtGec#N
z$k0ID69*cE#GA^AI0_?kOV!$jU|E#<$<J~AAPw4acTtDOB53PFh|O9Q5ea9sXJ0x_
zgTw9xtMn{lXh&|sU$aa(R5UmleEBL3_R)7!qe8?HXTX2X237KiSnhk<^BD~)Grk|6
zW!-_~6)#FnPAi~z^Q^izqcq5%%M2WRB8d{cu;up(O6dBnvx)si8t_x!!_(hI8U=Z^
z{AYDk8Hr7brFrCPz`gQ^f-&*ixW!|}tdmvHk1y<>ljSubP4Ctj{cYUy*+&d+*Q=s^
z0`g%Q?=*pX@()qtED>p^GjVlJk&swc;fnnkE%0!7Q*!LM9I8x<%VA_tM+S7c+ypIc
z=wm5XRB@6=`pk!#hF8>)<>`!LDMC6>Tq@Y>W~YEG!ops^Xd<KFk61ttk1mu5uKu(!
zRzwmGQ_Z}WD2Q$6Q}Z!NJs9)mDaw>nLh{--zvKNBG#8r_n2qVfRLei!f;A<y!^Mqd
zi=B$hf|+}3&KZETs%O6|QbuoSlFNo06m(Sh$JFRkL(o}M-5GvX1&uxko&TCjLEraD
zy}mtQ1Q$%jPt32XAWicG#y3M`G;S&KVYh?{T&75=&3LLJL%%z7bOY*WgfqivrzHk%
z<!cx03sup1%i-c<Not6eZ?|Qk4&a`5(y+5m6{WC8Gwom?p#u(G;Z^wn_Q`)cLd#Uq
z-Ul4hU$s<F-fNk)AA+WEP^+H(#uZgGLfeq+F;GIYr-EyT&X|Iir~zFbpDH3UT=?WC
zr+|pKLM8Ux6cVcfR+z(7kVq?wO2{S=@dq#rO1GOr{JCOlky>RG9WS4Azf%S+?0QIi
zJ7Ef0UO`SC<4WkQfVS;Yf+P~{3Y8Pxt_$NkX7<c0qL!5W+RR)rH1vLbe)ZS({M~<o
z%Z3zCLj2@68D?SRos>|JUSbN%awV6`>gCae<?or_Kk%dRiyy)xLrp<6|BdW{EIG8X
zGRCM@#Ebp~vrX<aF@;AJJFggBBqD=bfokc`I1tanRD1t<fHSGXO*vMw=n46*ar_w;
z6e22d(=`X+n~_Ach_nofbzS$>8)ZNyq?&Ak9l*mviuE9!6w=5sp0yUHLniO_L-L0(
zAfuE6MV%7pw~c6mP0bp9?ZdAueF_F<riY8pd=o>n+D6sSgO>5wIwyPi028QEV3aHv
z7eOy?5i5@=F5-921g`0PFa`mW@7muKg^{0`+I=j49%ne<dAy0)7(6^M1FI-Ol-&#0
zZuiaM-IIs92KO1kqW8ZSu^ihxu+VRm@n#NRzjgbbR;D5NMx<(mzT!ib+T!+B?DIII
zi^5H<83PFWcdq?ZI012Yx8Lclo5!u2hQ)NO4M0<rKmJG$58|%=YPR$50^Y_cFyx)B
z5AwN*Z@L(`(efb2t}Ix>{S=sF|841Q@2%+_6%S4{cfE5jZ_hIRHF)2zR(Cx(sdGVR
zgpmUo3+A7{{CX8HE?svM`m76WA6t`4I@wUwdQ7Ww**adO`tQUCZC%K@nrcTKWkvRj
zY`(Gmo4CC|TytHn4%{!@awn^>BCk(EQ5PT5p&#Whr!~cOKrlcmsW^oN?b}lCWpAfP
zqWBSh#(Ub3?pPzSsl|ell_nN)l^D_F*@7H>f;Nm2iVB~tF(a3Su7=eZCbT(Qt<jU9
z1&>Y%`=^aDqe}<R-85okL2Qr3ESN;KK;T1F9xojW`l4Q##FNO19%k~$y?vw!la3P7
zDF!SkyRItfl0G{k`Dwlv)zE}xH;?~hQ&~{lW>ZVe8V5RaRXxt4Rs)JU7|N!^S&>_x
z^zBETT&O(k=Q~d~4N%j2Yx^J0isU&*K8<zqAV^WRd9|_4!`C0TFyCZDI#)WHeuoi|
z6Vdqk>1-OT)rFkBbb%c`rQ^CRpUa1`+LB)Uu%$t8%>HAi!#L2lCkJ=j`pb`AJ@4q+
zze)wtPqW`8FFBE6HQQ!ARS*$g{1CA#rUGBzF)?>`Zq#%1_L-LtgizG?dvDEss4(&%
zH>2hz54!e=7Rezkf||b{5dT7>!l#1Id^8aPTI7A7m4J()pHfCYls72bzAtj=(iQ=k
z6;0=jT@^>CV!N+5J*7a6&^$xx1|M4VCj`d1>_Bx-ild#j^YS#~w_S<+0!X<t?$&E(
zDYW)vIjqN+0-t&=&N*U&2#MLdJT#I)_85t&mP7%zn9x)0kwWNZTa=jY5m_Ws%e$vs
zivn7#!VBa5!l+L%Z*OEA5g9!qHkY|j;Dtw>oW&7Q^zdVm;aH0t^4VSbT<9?c8f$`f
zJI;uqxJf=WGZ_VRsi)bojExH3;>u&zSrSO+jQz9MR~1nrYgSFm0V-IkzQO8FOQMEe
z@s`9vC6wN@XyEjQ3cciY<+<I`s6dBXP5qz>Ds|;eJ4~U$=c9&CMIOtb-4F2AXVt1m
z!TC#gOBD^;>?G~37RsV-b<ZOMR5kRkD!DN9k_IHZpV#jFKtv}>ZhW>$P)9dpN_PA-
z(*)O{7K_dwa%f1i#r@kKGTO4c<zGh80!!!I_I)$*h~;MsTO1P=h2IzaV`Qie3^566
zo?MEkdEqXX)eR~tT_Y%5KB)uyq9^xUCMqGiyj>@bjZu+q`@!e5d|j~iKbI&+Rz{2U
zNudeqG!(%tH}Zm6AH2I?o<FRjg7{~{5C68IA^W5Zt=pFjfbKxBTs*fbiubx^%c4s|
zG2*kFMN@`ATse`o{7n^oJd!P|GfzdLPS1odoG}LW03v&rKM9fODAQh{RFs=xx^uM0
z1QMp+>C;V;&_t4NdS?Lzy@@a_H6(7^Rd3hRoLXvV+NtuS{hB(;`}{Amq6VPrN&Vv`
zD>ZcdnyEWwk%XErtLe}=n8Nhwo7$)3)KH?9XQgD}Hr|#*j{as-_$3^a+*eORLHBn>
zyHJ&oF}si5A$2oQ^ffO0r?*`nwp}w$kw^9cZxqtcnStQ_5XG$kRg{<c`%>_VEHWVZ
zOnWAofsb2-l*TO;<YDQm%G4%>E(FPZFU~XrG)`*V@>50vm9mj4Q({P)v&AVX-VDSK
ztI5}yZ0mk@C)W#4Ar$-|gNN>n8HDrbjycaMAamKbNkx13kY(V7>&_ZxFlA^MduJQR
zs)C%1-APU)n62EcGiD06{2eknwdGJOSL9VY5;L+QidqXNn*u|xM2pB*S=81#U3R*A
z3-8!#Bd)G*3N+u%2;++~$e(iZ)-S6ioPXiPq|Hx&SaK-#)JO_-H@c@5pPt53S3gEn
zo&z{g>o(Z*LIN4JNoK6jhVY8QRj$jd0Iw=LSj5c5(DeJ+0M9#r@MxTL6gS48>n+|e
zvmuP?Yi7QhA8EsD!!DHw`<lSVQrF+=eS%0$y}1=vuf`=O^SXkwjiGKpx^?FaKl-q%
zEB=gTIbKW&Tbyq<f_^$W)5jz}wEeNFH4;nkqhS%!ib6)vEh-q}Bg>2UodxecIr0WC
zc0VX{#=#I)I(0Yin{4~)plhO|jUVwjsfD8xX$CNMr!U>EfE^j`qhKG3YVj47J1#{d
z`au8Xp7zBPtmskp;e<QWE%>AJ|B-U^^?|l2;N<7dj5_z-Qj>Q0f!oEdr{v$&g9zf)
z@vt05#GgOzu4LMY&l!ftr;q8v2Zf-V8d(NJN%HZC{@jC8;7X{YtuDk|H7|>7r$c`?
zmOl4O4B)@jH;KhBbRfeh`oyuQE!?lOxxfGRFz%-N&Mrbk2Yes9ouGTSfqOP|p_4-6
zcmQj2M?s`EOnPn=Z(6P65!&8USm_jA^X0M{&!QIi{tPE5$*tj6n|R)x)Sbca88Ugr
zZTr>TqD7s|J6CaeyY$UsnK}H7Fk^twpeD#Eyz`hSS-~Ax6L0f~E#Qm)h118oYXbS{
zwCs$_3chzY>M)X9!VQeST$t+D0H1#5>IrNG_n+i5PcmD<8-oRA<WFnB?^h?C{kQw^
zTgs%xD{J^OkKIwESsMKLKCaSUu!0M<3CO%|-M~3B3#~UpX^_cD$0R^m#k2OMG26(~
zA(`HS{B&L#)Q|`Kn)+99rFOij{USX&pC>lO^Oy>8$@fh5H>}~^J#-0QI~b62|3Im$
z5fxlg8H1w#uH(U{0|dy<Oz7Hc&uf&I6!5Yiv6xfb#2x1T(u*!Iqc2NG?-$LG0TnEt
z&B@xroz`7PW{X*onBt&IkO3LeCo+enp3tG-lT-fA@$6_!K>6(7+v;#5GN*PWg&xs2
zP@c&A$BEwlHaKBBqz0rfht9zh2J~i6&k5%SZqzvX>Y0(P8l*0qdXn^w5nT<jk9aCX
zKpirwgAU~+IDLe|*(1%2rsJM*)*s_TvTJ9hj?hT(;>dCSopCJa=D=a=Gxhw4bua%<
zqf%9%79Pnplx0Kvb>>t!_6j1}Fz1?pjVds(PY)jNWJjv?$e+9<gc3b{#`Q*2K)U4G
zt8APTDaN{4dRK{{@{r~0<|!)hGuOplq>UTh*x=o1TPlXu!u^d!4y!=p?h~a^+xgtV
z$j0C7s|0E(%fqH9D)6rRN8M!$J`{iSaQZzlDdh3Zh~lwB1!VbcMr9xJBYMGcVL@vd
z<fSjN^CnRRtljQWfL9PbR==@UlCqtj;%fzdTdF{z_fk~&BO#<_#Cl?dUJkixUWz#t
zqXJYEpWy8vg1#?~;jbg)(ekS-iJEy8n6p|BvQiU6K8<gGZHg%(<D$n3LNTf!)1Y{F
zO<n>m%od8U)G8tVriYbVdr1(L!xJ+El4v!@<@%TFD(Lzw+pCP-YQWa#kdhZBjVhKH
zqPzEykh=!c9>*wkFv3huPXCiZ{VYB!OtR`IzV(V#8Y2Zt6I#euDMZwBI)l7CLq<%G
zo(I`@P+{Q28G6qUIi!28nsC>Jibey1crDJ;0AGk$eELluDK_43DW=hoc;=?V^T!%+
zwB>6zg{Fv39ZD~GFh@gnO{-zM7_~rCS6J@lT_toSR{Yc16b<x<f1}Cfwl>UN_H)e`
zQAUg-b=+5lHBkUB%aJ$wx}c-l)2OVaiV7>*mj0a3M1w}L-v!zAVW6|o?&N6_`qNN)
zT_jKwaa58GdA9xbvi2SA_)s;ZwD+Wttc@lzR@b}jJY)o%tOaY)r`6H(37s_eHVq_k
zY~%-XrwQ;F-2U&B3>mRf{HiMm8t93I_4Iu=fZgNAO(+k@$awLUzXcl&wRY6q*#c7-
zoVUzQZ6Tv0e2v88S1HJCC3G>5-3$nHZ+L6okx?wPbV_XB?^h>zF{H!{7}jsT{oqPQ
zM?(iMjZ;)mn){6(G#zu0v;26f>XkZLS7C4VeyxCphmQ-qO)v+|1Nj(MqlTWID2zHn
zCZdsh8B2lH=5Q!>NYOimgcSNm40=K&k=(bsa^+TYILyFws6<B<k<2f=Wuq5C1sXBU
ze&yy6r#N4_{7e~L{A%m_Lx2x?-{cBB6k!f0>^t*6(J7&2Z&r<Gk64kZ@gwf*n%nb_
zwCuQIu7ExV<@jz&Zs2rPoO>JE%)sHcjcm(RIi&Z>hPwfc<9&1`FH_ykz_R5cgXLRU
zlu}~cVf(8TH_Rl8Rc!05%Li?pjx}kNzW4Mb^JoutuF<<?hp#EbP}ytZ9`8U|%a0gT
zc&D+?t;>(w{{eJvc*!LPh@oRSFA_~&EnpA!Fx}Vn1ISfLlU%thj5MBTHqE?T!Mv`H
zk3F8mU|C8#U87h4IWjtO?s8hkqUjGSo!l@1n~vA{ccu7{WCx}F<irN%YwdEpN6-X(
zNY1)S(cI{PUQab^;U+d8buHwXmND!VC|)WuV@GY5S&+q-P3&lf$K^iPZQXqSVx!iB
z8U0pIwk-?V#HQ71KODVd2;Z`MACFJaqp(IQL9Js0TY7S=u%X5P%>H^RNabwcm;dE+
z2eWNp(?-HArOXCUup&3MBD#!QpKDRQB)yLDuqipd+^rA2R4MMGYIFD$YxAxK>Kb;S
zw(^4I13j?FtTob2o5VL;tsairu3|_etDSjD7Y>Exk#2Mk;#INARdttFFru&S$2e<U
zpf7)PBa68k-(NnLd+XCOmfg~^5S6C`UIvYlE}d=o<@en;#mURq-I1luOb#93A~D|m
ztok0mZ2fum4ZehRtRFm+bWs~_{T<Ya?R$)2CSMQOURlC|a?55(y;=}_JW!82wif#%
zeJ`!uZ3#QmdDEMEKnrX`Q!Ggm-!Rj)QIn4smayd49#sJinlMC45#cudjonzC`7~R+
zgf%Zl%5<1(Lbu$GUw_Z`V7nr?xDBM1v5*K}0o_j;aAnuPASI$7^LV+WV^^_^{T;5{
zxMZOL{sp@^ihPGKDtS--+Km;A_RS+Z_%jWD4n1W!g^gl<3Xdl(BUZ8As?}EAgEaWZ
z@Oifj-2|qtkR5ulcn#aBUb^c+FBNPHLQlSYKZQLewiU?pZ(zj&vhV)$qrz0@3%RrS
zG?r^pa^-mbCKkJ;@m-mf3hg4IUXIGMSc*>*@qiH>{L?(4lVn1HpFzJ4d{3Xlm|lfD
z2b$7D`fjh}4SzDkZDHRp%P(MF*Lyzv^<aS6168#tuhrpy00030{|uLRSj}%3#@l<(
z(>|>;I?dDRwEI3ysSt_=B0Gh)iV*qH($LaCib_O@B+g6H9?}+Vm4>zk_3PjJy{_lE
zo<H9E{@g83Pj%FwWsIRMSD5;Q6_~>ARa{w9hgG@u1Lnai*q@_s?)(vBhp8K>O5eAs
zg9l4TpRdCjcBUt$KR=fPHV@p-8qK7@!vnEZOxAy~0Bn4F!9gyNy#Mpa$f_D}6b4zo
zKfZyTDp()fVaWrcnE~ewJ=9?3ih^plD-(Fa9NpTL58Aw{P9JI_L&Hsf8^OEGFjG_N
zo%T=wF4f(YowOoD&<=<9JC|8tAeGnIIY|gE@Mlck{Y(OIubheYWrM1sUeSyNVTkd?
zk@oH-K}@8q{iFZ~>=m?KPzn?UuXD3k)uxExxPvZS^@S6%aXLqnrN!a9Pfek3A`#X&
z3Er9SxM9gMpH%i!0+e0A=G`_T=o&8tP&;{{*WN64Pah5vl8oqc{6q-X3EqEJK>*eo
zd^QX=q(Q<}8rv~OfZ98M+KYDzfyA}dbK<+?;OMT$1EHM+`2LzYC|M{Bi-+$7?fs$v
zRTjSlGJg=@jcK$6r-~@ZU60rwY^ewvUNh=$tV9q_sXh_?UJRr=|LeS4t^~4P`sRza
zL<q>`lfDxs0Y+~B%1v!mU@3E~#_lB%(y;&Pdk)|ro-13wcTN@F+}L3Jv?IaG4a(cM
zN2OslN6>Dgln4&1nF%W*WN1mLdn}e93qtpP#<RqbfhKH6vlCSVLVwIfwo!Sw!hf=~
zERX{1q>OC&y%bohAWH5p#zW9kdd-HH2DG{owEy&|1Abz&dGVhjbkb(eUp%S>+(oi=
z^kPjIe-aWLct9DhPtJIX7ivQ^sNtHtwc+mU{MES{70~%G{PA|G4jd@^6onP*z{&HH
zoQ@_0ur80cdgDulm#ez(!tlDV@})ObcI!TSo&cuTn!3P1D!uy=4Rpz$4ttTvP}6uI
zIk8F?@ay;F55~};ul&=M=6E$2$?r-1tU`m_Mb$p)WdraW<9c{;m;&J}sl}q(Xz*+E
zH%Tqt2yE|I(Bs85;7l7XF&$5Xcj;&B`AbdUec=VxTQZtZO)h;WTc``-nQMOgyUl=z
zIeb~0&;<3C1%|@_6`p9&Y*vB*as`v(jt6OhRCm*XrcXLR8+`l5@Vq&svq}6@DA$5a
zSM9ruL)viQZ=$x}P783^dy%SFpamv5hxbqdHK0ScTYd+(B^W9Pnh0;x0wuv7L9;e8
zEOfB*MBKFmb#L>C?}?h=*T`nmwyp{(<jb}fHY{OpMDvc&1PySTwz(Q2tptDa1Iwal
zR&cH8FJ0VT9VS|v1CQm)LgtzM?E_|3aJgW)>}<UnY_gez5E8{<S$3D&l%f@g+0R{>
zks(7wOny_ol>mq^6;(VLwgl2AW6LKFM38Vv73!K{fuQ%Pqd%f7A^)jF(v8!qP(plJ
zmU(d=JNV8;)<ND9G~M}51%xXDNN4VuRII}0o*5H#b1gtDy)$?<SrH!nRLg189%VF=
zua7J!TEJDl&)YuwD!{(t&o0EOMMj<cbC;hP<{-*NWwGs(0gO1m*%|nkK@*)h>MCvy
zZ}Li+#shJH$H=?+xtP(?KWU>U@c^stx9)zj76(Bl$L!@lEU2qUI{2I*05R5DljJA@
zy?2IvPte&ALsx%;s*1rmqos&t4ME^u58e^+iw)VFvtHP)X9g-9s+R+4JfJjS|J{nt
zj<hOnuKVsXh05*M@*1DB!}dn9PSBP<Fv`%l<!=J}49ebo%3_9<%7c!pEbQp}z(F(e
z17m<cGEX!o*0G<p%RaWnY$z(-*r}$=2(pKZdgtAiu)htb`Pl8*5Lv2Bs9wSda@v=X
z8q;sAgI9AtYKRq;%nmQ79yEmR4~Iib;zqDq&u?vEmswF1EtGQqi2*nc@^Yz$cVhkx
zt6K|M(R|8rng^2s$oA_VkGu35EA>&le0G!t#onZI9C6o&(^Z63#>NN6M#;)0vvL-c
zWYzCxUP%XuT6R$@_fE#}May?}xh!a9{5j_nB|7BEC2wz`4>BlmKaaRQWkG44Y+v@p
z>4A0Xu}kA+KN;LvBS#*7WkJoOU4lHDG?<woAI+_rWRwktN6g|_(KWeWhmr$mU{id@
z_>}Q1qvJr-n;qe-C_~f!+}9ahkWM()M)#X%wBTB-AG5Kc)5$-?^L=!|v%V<%*X>0{
zqrust;UYFvBq(@ybCwDZOsRRkS<8&hBa;tSg4vPGc%*If1uD#kmi`rfxWXu@Pkg_A
zf&-O}PHq=sr@|WfpXSy4HO5&>k8-UrPLwnFy0R`=2U<S6WURmZ%jn_UUoP;93(Z^W
z33F0(U|{cK7x$J8hV&f^vprHgXogz%`1>bqc%`*hTJkazQsLzvUU|feX0#Y3-bb~;
zvHrIC=tE{ydDW0;cZ45R`8gf>!J!QmE-Gd^JuGOw?ZLioJ3(X`wc|$HAuUKbHonZG
z#D<0+{MCU{A#`MP)G@b06XLuiH?Le}M?$(QZ%V%jqZ)A@!#+h#xGvV}_IQm08LW@D
zgyKcfBZ))p+mkiG&iwsSW;_=%Q`NbD;+h!B$%q^t+w!k^cY4fi8y<AMjc?)*hXiWM
z5$+huRfoZggC*}2_)tGhFw5nMB;pyHmc4JO4%?16-wsj`K=Vxjzik7gP$_$?%jX3O
zn6&V?MXLxQgZIwuqDN)W*|-f=o7WT=zAf{L$x#>$Yx^|>gvcQ!+mZ`M<0)V`MsBE2
z5<yeE%4q}T3P}0%M*+rF3M@+R2#=c+MI?`IbuD2<<d<;L*CUPs)m>+Od%eWbO6w^K
z#a#)lbA@M@zo7s_U6>@vEQu7(|93*ILK!9W<%+)GR0qGlEBbzAIFwuKlk1_OiV_JI
z{c<j<gHHKkUe!%$RMq0rU|LE*?4O!k_R49%oHO~6cbF`Kl$&&`?IiRm;)B!Jj0Wg>
zMssP!$|D`_y1q}7WVHM-PUXY0CZyZGjR`-5N0);nvmYf>khDMUG+9m?NVSJlk6c$o
zRX*QXNuYr^Z|@H})2|IB-z_+jUMV5@#G6h9Lz+m-cG@s_%kRY&d3*BamC>?{_qwH_
zHnMdF1EFRrXnk13+3BgGQ)F(vm^p1E{ODqe+&^7V<rNL2g%Xf7so7^NQ3o-ybl7+9
z)`PYOTG4!!L}YWsvU0CD6&3ey%9qvBAuT-Zm)9Z*3D4KRJ$s&t{<D7d*W1GYel_d&
zPsyku_3Zjne>144A)?};y`T|v=-7%LQ==fc7^SL|cq&SI=+(w(F$SBjuBrq{bwpZx
zrW<NYMN2N*o=ha0LThww(#0Ni^w#L?i~UFkU6|DC*>u97@iND<)@cotaIs{7cSRdr
z?W^j%b{XI(-kYq<&_J14zW$V-T1Zv>>-k9wb2vRTU^CsJfx=z-@9y)}K;rC7(TX$X
zkl_0I^}#|76mmsZvGkD|diLX4W<l6i4$|5woyHo74=vM=-zOsN$TK7N#w@^Ad4qN)
zMjf5H`_6htm<p1JGBDuL-pZp~ALZ)%6eRY6`_fq_MU<odeq_?g5}uh0?yJ76hKwbz
zAN(C7i=282J7ioeVOBJ?`kxLNDHBvPGg~Ck%@<tl<0h7XpVImu@PUXvd`<UxmMDxy
zWUPqyIW3{J|L|EReFEZpJhG<Q&5ahckGb-{vjBN?X1Xv-1w{;fd&bekjIuA(KjQGT
z0A9x-KcfvLl&^3=B$IcU(ePLBhse4)^vdN4bsknkt18A1Cfi3Ds(f{=8ZqW@weMEj
z*E9u$tJ4tpPD6|xHGf13aa(yu-Dj*6D~kjgF1AVre8nWG#bs&_0o2onf~k+C5XUTD
z*pPDs^I4x<eX0R)Xs@fD_Ot}5FJj}=^qj=zh$H$|{umhlif)uXDuy22@49iEFpCKp
zJ4*b!Z3g(}v=d^yBIy2C)mWK(bJ#m;=jDnLQwZK0_4`zVAo@I9+^Oa`kFg8;-y-yx
zKz4oD!m|-xbT&q{-uvWMzUP>xU*|J{9H|TPt%tZ!M$+QXa^88&RW(Me)6y6eHUu}#
z^w^Qp%G+;y56)p+J#kNGuNr}83H@q_Ckx6m^$>~=n#CMWWG}>jHUyD|ud%gglfkKy
zA;;A-gWb4H5IQMr2y(8`tEAoQj3*~9|G9Z@3iG~`?5N;r0CGnHrbJKwVLX+dxvcK?
z3(K|sbL(WeKJeR9^k1(pFxop+`&4AdF~gx!{drM+DETrP`26oIqxzm(tnb1oR_e9L
zbs>NbACLOi1)(WMTYh*$|HLqMQ7iIzd5<1&k6)O(PakItN>dhovJYV+66rfbEcM{J
zPjrLNwh;ycAGZ6b{Q&lB!g=V%3mOb&M&FSd7+@qe+1DSt@EzMlwkau5-r~}*0Z{1w
z#)y5~yK(YGFIG6v#``s07ev$FFi>MBgAkr_?j&?$MgyhRA4PScw1bd$$fu2Q`>i6&
zMWs%xJhfT&Py!XM^FL_!acp8Rol_aE+1rkNc;lk_p9mGgFIhLlH-Ba%IBxI_wzOe)
z-LLG%Z*jDN@~L_q%?}K9cHKA1iC-`+^~x9lg)P1|-Od<GFK0+F{}!K1ZpG4neL8Kh
z#p8u#E35ia&lxVHcJ9ijE!e%XcLR|I+K?%Fbt%m50pqf0j9KA>W^6uXMGqxuL1Fr*
zT*t60jOcgaAqSb7v6g!xcRVXK;o>$|hnkyl7`8B+7E#rN5!Ac|>walKg2sg@8_2;-
zZy)UF8g0U2$kU+>@*40;D!}c^+7rx~gEz_WXft+Bh)LPfMI8dJX%E|9FTrdUna&p&
zv|urN=brPVQsA41vp;9^E37iEw1Y%##iAk-#5a1?;EA%KZ02kQ2I<NURr9SFwd7gI
znz9<)&|(c1Wny58q|C~rKfYid=?8Rw_>$qUuC|Qle;=^3?s_x*OKsS$kIsynpGd%8
z{w%0Br3y<?=2g!#YR9%8<#^vKLxL~4IMJ|I)mTbA+p~&i9hg@?|6*A%5t59(Z>~+(
zU=!*p`>LI~Fx*4Ko&UNB(BeGLK4Mjm(Zf$N@oV>B4;D2h?rim$XpeaO+mDTy_#3W_
zYgXT|Fasqy&pcHy&CU8KcdiAC&l}ZmPWg_Be6fwQ7g2>v=`T;tlfGcWAw^0gi2+RP
z_X`WdYbxNrr-C)-O&hjg3~`x}gP4ZN>-S<S$`JE(s&~<+9qSk&@z}`?W3Rlnk?YPY
z!~UXr=i7Fj*!Bx8c^ZQw*!BrVh~=~rTu=0f^mppUPHZd{fA08+iMV*b@bggu{Mlt~
zk%V5%vA<ANnP~$1TVbheJEsVYxK|AaIKE?CZ947K$0sq9NL<tF3ySc!TQae`q92P{
z3ELIUKZBhQ)cIV_st6+KP5<?{4PqHHmgkqkXEC5_)><dxAu4Hs;JrD7;U<^2#VO2V
z8cb&02UYMOP!<y$*)oC=%<1LxQwx|;CP|woKmm?@ervSZ@)L6(^2p<xTEa@BFWruQ
zBoE91GXD%YCNNn;+EFK^6>Ps3mGkI;9Nacdt5d%)i8YS+$M+|%VJ9cu(yA5ZfaPf1
z?jZFUOyL*R$alv-EUK#K%Ret!kmlrR(@&noTsXI9S(BK6#IqD|zETE?7k^sfP3N(z
z;cr~gS7u1z$)My&$N=sf35AL*VifP`m!F=pLTO8DtXZfuj8jxA?WLD7wyr}hUT@hU
zBfc2n$ECoUq7b6wwu0SzQas|w!Ud{n-du-{NP(D88%F3}!v+>fxw$uaU{9`g`JOQx
zXdXixDjEN<!d$8g#hD-8UaSB2A`AyMKE`4@otfaw<bU%I^@Sineo`hKj{_}^8!aa}
zSs+f&@_zVlVW8-lS3K&L1SS09`tfmAm}+XO4D1wzbN89qB_B%ytzE_2=pQ@ObnoA<
zG$#%=9`lDsZ%YE@1f|@{o(m2>x6^dD!U1c-X3%1)Bp9gZH|*}_fx$Dkr4>7*p*OMx
zGp&|{AJ3c0QVRLu(dZ=Km3%qaEa41bSHJ;v4d=Aym=Hu*HW)rXf`=<T<{<YB2NByJ
z<rK(@fcf(`-xS4_pvos&Tlta{gtwTsHZzNX{)L7NzgcCdm3dO#kR}a9`wY_Pk`i#m
znt%4&qADcc=5Hnn$wJ(R9o~e)IMChiSdpPb0%vh?g~3HRkQxaN5AT<T;1^Wghzn}a
zU#(Ahu7QWnsd<O<sd5l%I7vOSpbp){9nD9dDuT(oSMTGj@W2rh%IhAh1*c9G|J`##
z8485UbNG7|Vb`l~4Y%ZVz}<E}TmG{usB5}NOhqXJ|1%|~lc7}Lswn)J97+Q3qS;(O
zr>*yFHr|?6UEn_bh?w)70ymRo*TkqqaQP;|po;53Zon?7GCwU?+pW96B}d-sb7R8d
z26QNhk~r%$tOK`7fNO%60xPy^Qi}wApsedeCOXqV$bZ@?cwQZtr|&(YH|c}VrAzXM
zdGx`K`H^(i2TfQ!6n*lZxB>KOo#`lCGK9Ar!Hq+@+R*hbxiV%-AEbhWdz9Er!Kh`@
zwrgA)c+(2BdoA>#wDCW``}_d)X2X$vfjV%*z9oE3hz=*r7p)y)&4Fdx-3#qsbRfxT
z(IC^62JHMfo_l^<fJ5(s%dRCIxVii<goi=}C6C8WUP@N5eDbw;*f$-p+^N%JVX6g-
z?*qbxan``e8)DlYp#x_)^WNJPk-^jMGM4<=8g|#eJaTSY8&o+Rtp{e5A>`b=r<0lu
zcsk~>)!?;3Z{W#rdzLKtMh~ZrTHC<eP8SZEohCrcGYLaU5qPBW>IXs52Dr-SoYuJ1
zp?zo<H``8TFmNCzN7Yz^?wL!<xk+R|K3roZw-HuXdFLYD#v0DKt2;d0Bmk9J!W2Kh
z!kF)mPiif&0#}Fp-6@AvV7;2LxU!uSjeN~55ZSN<C?T^u)F{FpXS0`u4+Rk&|INtI
z!4fiY4*wD(<l$}97sHfE5wuh}Qem250p|>pB?4baL4|fQ&pril)W`OLH2&Kh2Dn+c
zUCH9W>@j-deYym?cy%9<yu%#iBY<sUUI?C?S?c<IO%k<VaeEs165wg5yZ1d69%z&0
z?3!T4p@bQ)f^Y%=|LfIqXCYPyI5FSIMa3c4JEM_p))?S6W%Kg4uVNuD)Mhm`aH!{?
z@{^N$%pj|GEco)NN$dnCxzL^yhnn;ABDH-@VYX!OI*(gD#$^(Io2OM0z585JbMd|j
z<ZEf1`%CC%6wTH=zL_M6_{=tya(@`Zl*Q_|>bfaLG|j){pPMAIq>n4()r^5x<+*O}
zz!D>_J%wqvh9vUO%=Sv(;=TNep2z%Ye;F?B@BLB*B@ubo&h)8aL)iEy<j%H-8L6!P
zI~K++iNZeUk<=Ww^kdv*Q37mel&0SvFD!{(d!`*osx|<t$|UQ}7!EY5hef98Num(-
zH$%ym2B0$+qxPqZ3)u`+|9a^siLB&_Of_}-V5=)9th3640&={Klj<Z<_DhesAN%#e
zZ*3tYWt9(IW!Y03WrRaw%o!hFPSe3N`30xNpa2TsleK(VjYDlDe2q~w9b!_5VV~TE
zkP>O#Zp}*yUE}3{6{byx-{oA2*UW{{L~z&+6*Xz}H+$en+IKz33}>i)RS`k)_uZrV
zSY*(jUDuYX6ZN2h7gKZP5=GsLLtQTxWzd(Mh8YfydN3myq3SauiVDnEv&1)L(Zk4T
zpBoZ-AUYk;A>Sj0x)RC`?^BdV^F|hlKSpV=)>_bNP%n;zR8PpKx+$QPl&RgV?`e?K
znB{9xC4v6-3w|GT!lPL%M(F1Q8c>^b_gtx#L<^k<oj-6WqD4fXetnw;)t%?Dg)cb7
zhC*;69~F`G?7{wtn>0|M79~1QNFjep)$5u_C6x7V5=V}sfk#g6gan@qYCca~OmS33
zl9o7s(tR4l?98*-XC#Ya{+#EZ#H*nBg`)fn1`R$|-gwpPFNelz*9qSiRnU!&D!k4#
z4V*R&%6Q7<(XJU>5WZd&{Y>)}i6ZMkbU}~v919+G_xw;5$R;4a9aEj!fqHPhRp7?b
zQ#{&6Ym|)fAtH_gus^m{4`Mf!jz}I*L{av9L*jZQBy;cN<1S-5bZdq9N%1KmefKlz
zjM*(cy<Cj@^_IS-eBwf-5;~!IhRY(8jIyw=I*sP~FlN&`clwMnIyHLXyP&QbS||*x
z^!}y~tIg3aKO|I8apo=dz~@{2bV=b(ZG-{vWWL%SS*e2920vFLK?*YK-r;CTHw0JI
z*wpE&ie>`l)I%L8NP#MA_kO_;r0d^)#!soDgg14>EKdrOU2o+{EjNN2UAHaL&lAx8
zQH%AyofMQpd_DX0sxdrZe;OD#LO>ndgL}sWD9EbN{!Ea)2|WGkU(9ArMA!e+e|+#j
z4Y~axoe&l=g|BCy@;2WlBEJKsm2RAB2>-Of!}p6RMEsG)6@Mfmf9T#mW==-?>h%uX
zh%^H~FK&a?Z$u>B^WfWKClbnLbflbB!yshmd6(#3BFf92T|RF`L_J|04Ua1^cz~m)
zkG><KBFm|g{gMQ<mXW8MEemitb#;MugNPENRxclKS3zCJr8pON0_-30N_D0Yk)a3s
zU&Cw4=!}Zhuhakll2&3uLmdG<`0F|KkfMaRr&Ryw#cs_>@OLe-C7=>=+ezaNJUT{k
zH62U?ILSO+m|Lofa`FR#UqAu%hUR+nZ0QvNrtR7Ms;Km_-pwO%vS?3ixuI_~K>Jw1
z;&)dS#KUofP^>47+^$?XA+ojiRVH8g`wV52uBc2O;>97uiM1fHy#Sj1>)*0EmC&|r
z8^_`$B+v%O<n&82fLevKQzgF=TD(6FI9D+wB@rWVZXSd6#Iju^D@D|i7@_mMT?DPG
zJ*#^ji9z*n$%iKw@yK+?_2T4P!bnHP+w__s2GmAw>8t(<DChO@zYhY1(AOUYzFdiB
zAoB0?Z_#x*RIAt%`dM8N-H3>BAqkqnGycigyd+t)?RChI)E9na#9hK1cheNoKQ<qb
z2O0Ef>U2R*D<2xVKJ_kt(*$BV@A+1-NF#xfj{Q4T_|S`YdYsP#O`vShD#_|Q4rz``
ze{8DaMSf-^rGiOgIE8ghHg5U5@MZla)_h*n-*)_-kEb#CTk}YY|Byhz4VG%edR}xW
z^((HV*9h)krd$qWmq6QHM{A|F=9`>aDCcuFf<A+CqZOMi|H<okdFeSHiX6+aUjJeU
z;rBSZPUncB=`k19N-utdKM{0me77NZd@Ou+N>U8n(%&({x=R2>OxFtPbQnOL^kSl4
zo+!Hi?jqjOO%Uy)g&GhK7=UjRqj=U{6b%ro1^BIn&^^Aw5{WT=INmt?*qlccQLKdm
zPs|9R&mFS<+k*6AC%t;*L%#^x-4<<-o-d5faxzSqwz%kJNdCLF1`+h_(ZL<N{YB8B
zKKz%PIds_BkUsmPNdzraxJ~))6h+a89`sRw4%ozQTaQr@bUJ942A`1_BHOM$GZ@wb
z!A-)KK4DSxNbXIjGhH0nksX`ZV)VfIWr6$r9#NzdT+^IoDS=qo4NguQ=|N3#R;NS0
zC_?@UY1W>Ss9a#Y)Mb_iv65W5g~DP;OtVj-G!ciC9yJ@hE~0_6{H6JxI5DKF=kv#=
zLkfwFtu0+YPlH+s7P(hj+z@MGJh4kn1_?OUowGBcf#!cQ{3@TsQEhwQufGYh$oFQ%
ze_28__?_Z>hyS7kYFYTlzLQTLJ>wP>P@2(&S3<f^-M2|1`|170tmz6U<Ll|gTOGP!
zKY9K3Z&e&h;l2CnQwAP|CW$QFsnLa`oq-W|C8ZF{x!P1ee?>HfyLnTvS{G`!Z|oP7
zl}2xa3#*&<Z29Yu)^uyLE?7@lUYn)Lpa#K?i;V`#sQtkk=JHWpND-*{oZv2t(z=W8
z@T#aF0vHuM;-P`fA&8PqmP41b!!16DsG{%H<!8doXu$EKkM-0Kc|>$=41Uf+Krfdu
zPVNXAh%3ih{*lI`pF$Eta&rVE{DAp6Zzm1j$hE)!(TGP~FY|xaZ26WE;bDi2u^zNP
zqyH?qriik)&DagUB_W-{d*0bE^x(#MeAlw65^}8D8z~=8M!}adR!R)%aQC^*)1g%*
zbVz3R(9=C?=%jS*gu+)kBxL{QJzS=Yl!W>6JU7(PRc0Z3vrGDrK)qYfeO3jX%QIbR
zj-?>+g+Qa9bOYG?-U?|cs-nqDpK5~FDJV7jhVr3}t-QEkn$_Q+iViz=c#2u5qorP3
zg<V_!C6jEOyx>JZ!!Lgd^&U`1sllPR4@E}c9%E-oTqmHpeT7e2wy7g2Xf#obH3m#M
zw~!h_L}}0BC6t-eQSGZg@0`w>z;6eM*k6N0)J(b>c;Pw)UE&t#@3uFE&coQPV^k74
zKEB*c?odO9P3!f)@n+D%%33CSii8|0`kH+f$p~)b40es1LCDfTlhjob`X2xQ|Njh^
zcRbZ^6vyqouD!CywXeP1b5TEANNE|B%C1C|qGYsFNXcF;MMJW_2Mwdh-XtNC%8aC+
zf1lU$dY$u}=bZC-e@f~n{_dS1qn(kP8+#TN^gfI>az&BR=y1p1o)Tr8kQ>mgkOm-e
zrae6DLB@Y!&wGt`E8$uKKkMH803S4KS&j&kars=zk@fEiI3grruYMaKxx6XW;H5HJ
zWQOKi9g|0wUyZ~25#W8TYHX^RGJ5gdd%NYAEbbrN_8fZwv_Hn1iQiYk*kmS?@lY8|
zAl-~S^%-F7s|owiKSg}(5ni#2NeT~^wbhvn12o;VqWD@X;@yKQFZj1epx#K=`1*T*
z%PM^0r%oy$SwHa(sazBn!~=~uN&pI%LZ8wV%47Wd(ute<gi&$j(vgNlfNe}`6U|L>
zIDEyYY28i`HQc-6UU~q?S4aEB&&Xo>jyYAa<NSE)_M0|0S%9sH;oQkQvN+iO-1ERN
zA2MDV7~yN6f=ld#EuEeWsu`cQ;3n~+zM$h?8*3^=7^#Ji*GS<rE}i<Y5ib0gx>i*1
z$^z)RqE_6LHet43(ys^^PAofg+gMN40{X`s-!A7!V5fh`kaIIT4ok;+JiBEMD#~mV
z&-BExVU_j%oo+UivOA!ChtVA7_tj06eiFr63l8eI5gUTbyF#fDGdMc*MLn!Y1Z|a=
ztGK3EG4=a_8|DM1uo6@0^Yel*syVm2B@VM<Dd&^udK*(%Q)!t=PZUDl<`1Q}No-j2
zT0z^r+yqW-8~b)CPZ0gs>A~+58_KPPojajw0)@p(!g2iqShf829=|X<>JQBXre+yK
zs_W|?ycz<SV61w&V2~Z(KZ_IN6g7sNKGN)kJNzhkvCm^uGY6*MpJA3wHUfLb>{vZH
zetd9+fx2y&6GgpGxQGiHL0d`vJguIDPA6sDehF}+_}O#Lx@m^s`TZX0QxpmL&72b4
z{dv%yHzm42#t^m_{$-&#kx)eC=e~qbyvTo3hVwzO0o3f6bjURzp~6byR^CcJJig2|
zaf)gHZ<<V)T=hx#o+`+ZmO{dEtB8j?yY=C}k9vJiZArL%+WxO(3_q?Kb=oH!(+A)1
zuyl*ijkrsld)Q71U}cIyhO?jmML@d0K8)mCC{8FPq4&bYFXQooD6SRK&s?PkGaXTf
zjhXn-VKm8PXTA{TRy&BX`s;zTiB6(O06&(AkNp$q6vp7&j#ZUXdcb>j`O(@qKmHnM
z|F2nC6pJ@!kEHeMLU{vuspq%==Gmpms|Sgpa8PQMY^E;kxyMs_UqleEn50g$^oV14
z9jtuy(}gMDbe`xILA=^hR7c(+iEiI6btGBn0)2LNQ{ZhO9OTyAb?VzD^ccwIZIjdm
zTjuXYi4npWzi(`+Hdz{vs#qlkG3x?pFDYv@Km^;P?+!ZNm%-PL_WH1*1G_$}+zAgA
zMQiRu@5OG&;`Er#5#5b*`aIDzwQFMdwET}2|9Lr#+hwCoW6^~xu{pxkHR9+QHSC~q
zMjm@OZ015_b>V|?#p6<XNgTzbrIj-Z__R=?`-8nM<V**Q+3whcK`RsaSI;Zr>a5cv
zzj$4++Ujo|yfH^R7qjXjE-Rt$%Qzp~c3pUF>mc4DE`yyvqC<*rDx<i{Xyjgs9`Iy|
z&K(|-!J!7%gQru;NGDgd`Dl(F^qVDURTs$OF<EW>tJhWV?@ZNm5hZ<Cnw5;uI3|Zq
z8T>&5QL1=Jqi`v?Mjs^jU)I-xJT5!@_omKW4Hx7;TzKPe05)6|l5)HXsQI~nvy_lJ
zGLa>x8C4B|!zGBE(yxHGw>&ird9IF)H-Fdh{4oT>HNy{#*@|c_OMW7up@G---GaFR
zBjCyJ+swE}32%n~8>@-XKxK+o{c@u*yc|q@HNl~bjVx_S7n3ybZ2qr|tXdOba8UW%
zdruin(~PW2k7=OItXagp8dJ#q)$g~iO~#~Lp20p*4SX5sW1(DS1~ctX-e%;IQNQlw
z!E@)-v3Ze!tMs`!*x&V4by_B4_Q@AnZY63M_%O#kHP-?dvS%MDX{cZ+sV~gAKow6%
z9-LB(p@R6s&tJdMRPc+I=9l(^Drl4Zt)E)~V2zFUtAU;h&UyHn`mQNsP)<f#|4D!a
zn^F5DMiqQBl|tGcqJ*w(7HW6u0E$xGePT<<nBvm5U#Cd{iw7S2|5*X}eN@i!h8Y>x
z4;?R;7L`ZOmXaa|85#)YTmRH}pp1PL(nDGYWKpB=-_Iz08t9(;s-Co_gay?Gg)v8^
zk?%wLB|Z}xXvOT^mTIVk+ltRwe>0cF7oz9KIkaey?6yBH&Px%&vuC`*ObopYJWsX>
z(O^dH_QOvR3Yf_0@aROOFy8VCyUqC%fX(w~sdl0~KB(>a!MG-XS7Hg`909<t5wmqT
zNe*qs>H=FENT^cqF_a}9V9xkOE8`tm?5kFFI#tJuTN{Mp-8Tc23Ag{+oiBs8W?iec
zCvst)8UvTaIu+g$-Y(k@OJk;-rvUvBJ2L1mJpex{EF{$R2d8bqpUliN(JxuCLGv0d
zv&8~pC;Qm13`yWVtzsrYZWdfGFLZRHSU^yScc8VYIF?*LQXtySgyOc#*0R^lAx?~=
ziS}F+W8d(!yj*2OIj@(&$A6fC<B@gqeRd+qsBkVg^b{k0JoEE&u(KHy7Sf78tP7!Q
zfB2yUTSinA{ARvTVhWp-moD+Q3u2mD=r5JsjJUjF$oxXk6dDWpy=bom@YzB07bQiE
z$de+y$@r8B9BS?DXX)a{?}w5rvz3`JyY&3(*DuDP%p^Nn&&ZFq$+?w}JDJevcUhQ_
zt1+Z#HO}QalQ8;);fd$>neiESh|PMP5hV8ejz4(GhldMyf6vTiL9$oljvhlJ*hW4-
z&|<=e<KaOr9#yR9Y3{T1zQhm;CTonBpYUQMr|!a&1vYf4COffe8bVTp-al(eUaWgF
ze4l2=fhs|pWQv~{z{lz5X6MU!P=c}Z+1@HnJg)GVaYEk!u9g%S^q=FwdmXjSzwEd%
zDxAk|5cOfzM$;=Zk_XLhnWu*?@!-E_&3QFj^?~C#&v~D89{lwz(0#&-50j>yb85%+
zK;~jZ*xUpUc0Q^9D8G$_H1T0s*%&?OG@Fn1-pz|X=Q1n_4}N4k&5E)zdXP7sPQSLy
zi>C9jZ}Wo%kpIlJE&OkFLBLSxo~kDw#*dv^>rUO+>*Ig*9FOTjN@zXXrcORIU9wj^
z*e-;7WutePDC$Du1-Fa6dr2r@{rdVrIT73)F>-Y4hz?u{XK_9GXQN;9?H0xpMDdb<
zz>08=4zTI%OxG{w#|uYg^+y=R(Kb7(O*udZ9x%5lJBJFOFb9pSeoF%Lx8A1Lw$K5)
z2Xgr$PJ(zdEV%Bt<tD5;7y(P-I#7C5r00vd5T3EPPLW`d#?>??b5{l(IQ4ekm)%Mj
zg`2Wf`H#wAfUsS#;i5KFoZCL%v{wZ0+#QkR36RCqR#%OZ1#MWA9NxM8swmPJkaX&Z
z95RV5y&a<00ZI+~o6=4(<n`Jobv#BM<?WKBmp19ZJ$;wZM-&OX_*L^-&TRz@^tBD5
z+UbDlx9$I$b0qQBfB!h-D-^LwDK3&dQ3o21nP?d*OJQh&^_PedC2W9{=Dc1V@ZMb<
zl}Sh=`-!QqK`dl!o-7mJYOV|9U3>kKp3C5ew_kD?)l|^xUEy)cOI<LOwk*xKzQKXV
z>mTj6QN?NJmQu=pdT@8DZrO1|N3K=K-|h2I!!W;J^54GefzE6HH&=Ja<BhntC;Qyh
zvH$nGxx|P1z&~|Wz1v&?Kf9JjiWq5N`nAfPS<wctD1Ws@N=^~aW}dfrv8;hVNrgW-
z{S4vGr>eoPbV_)|G2K7$vL@bX*4W(PYXpU6R~fCkl`vS=fGuiP6NhH>6j(xyffoCV
zaVSF>>m*$caSCgpW!kOgr<YBDRI6;R=tjnd3waMdu4&?YO?S*>u_=gA!_FT4MMmyz
zL0cp<HL>aXGw<e)X3*y7Zmn}%1%=zi2je#KaXG8E|KqGVXwy4qX!NL{)SdGI``I<{
zBX&ov(@~*4z5jQ$uqv{XYNP~u)X-TZVN8V%K);wW&qGl~P*me&J*0|n$)8I^Lji*1
zt;AhrRdGARHlGW1WZY6JQE;FeK<NN~^!Stt!U?+u<3%Nmj{P`5DAVBSZ*QGL7gaD*
zdWm@}mm=<bdZ6UCFAaWk224I>Qo(}c==oPd^4KUQS)qN620i9m3mSKmQPMpmogyuZ
zZ&|2MZspV9wfIAo!VPW^ZV|mx>o0{bc7~bXF5Ec3oHxi&s)SC8;cTbhiep}bePT{3
z4Tu*vZiu{6L~p<0EAsnA&?Tw!>9ueg9L?n}bT3uF-mKd8bB=<TMJd^R(S`<7db#%G
zEP1T*&Fv|^LP81)dUWy7U~O=7eszKz@^DXTpc4;9(A8xZHv?SokMtf0k;RvjHOI{L
zInbj0ewM~rfN9+*LEJ5acWc&mEi|y8H0y;_6Kw!0<>QcSrW6M9T#zsR$B40)7T+&a
zP=WfPbw2;LB#spxt8ji#k2iagUuN@A!AZw!qVush?ovGKuO>r><$GQQ)_7Tf2HO!~
zmr+q1^;hv{>itVZ6H2=_m6*e)vmqTtx+1uo^#0mI+8U7%QTbMp-W;~YSSXw*5<+)@
z_KpSbKZNPqBI7AHGdNhvLb+}(h)a$K9{iB_Ln!L!+|#*l3hJXt!{ST)824GF{@m_A
z#J)AbohkID&~N;7@#RMnUiv=%B!hE}NNHQ#05}uiX{B7xe$R&nx^u70B>ob67E8rd
zs*OQ>CHCU^HeQS{&6IVFS|`%aD>HV<7=xqYlK+$ccrZ<$<yH-e4*%m=>B>qp0#*L+
zGpoP3aF1b_FCEiH9Y%OA<SZD%!l9?^37<LfiB{S5dn5)7$U4kCbHEUY**%OW=sD4=
zl+qVw#E7n&lJ{KgGl0<w9~m|`4s^PAVU_&^6IO2-Ho4_$0I|n3z4AKQ@tEKD2k+lA
zqZpUwd*P4zP^KEwI~~i82c0c!+KgE--cuN4T=k(=H0^Y~Cp+5x{pU&4u%Z92zkJQT
zdY~&U_;L4scC0)wxLUo319OwhRrL<&fipEgigKMD9fBv$`v`I2^-mQn(F?jTS#!FQ
z>kB)^`+9ezPjlmFuvBaJ1zjlmw)+N;CkOgDb}beU^CFG4B_%{b7v{ZJeRBVDps3;d
z+uW;sC^tiXknmauY)G~}=ju4|c~HM|i!eW~*)9tD`Rl;VK;fbnkGL?S?5_>Se*$>%
zhYbV>>p;aL%JYOOZY-4lm<5*wF><xDWuZYEu6!3VPMqVxWW5hfOOrxqG3c9j`kXd&
z%Y+5gDsRMNxKjLNw+QwqaSA6{X+zMvI90Q0KKw8BRPCp)qA0hw(fK2nHl%rFe7374
zp-bnn@-NrLF*xZ6u`o;l=H;Iq$s0N)`e6U`^fpPX4#-Gqub_bT9WUGFCjw|5HP-rB
zUkYb#?BUp*LxH3%$9-}d1TnSlvA6byKk#*abS?Ad#(m4Q#oFIO_@VL4ZELbDCWoAn
zX}Ljxf61%n^&o<5F6{%~tmW`;i`Rf@HU)m~Eou_U*_ex%o}Ac_4IVrjAik@b0`vWf
z0c&F7s2S;u(}fCHRq32q{*3}=hdS=>dnkc{M|+xlrxfwrL}$>tx;EHrCEV@Vwh8~P
zGj~PnDdS-b-8Q;WAO7aM{|*XCBR;*_F?F7dUPGP#gnwwm$?;1^tHWe);V;LlUEM0!
zkjGX|3*FG=@)-9${<64rQ_smzc{RLx@$qsOpDuJ~Irz>Vl*6F_wZjj6)$zfw$jI-8
z4IlS0zS7=L9&cKGPqa(Xz@k8k?~c2A5V+&oo3da9EMxNRiMX$cbyL22%NO;*e^htw
zW2hnq_t{nYrD-95uxB)5vH>*izh{wpTnUe~d++H|qu_p~mCoBQ48bu{=+?eKWn?|T
zDeV|cL5Go-U+>Ns!A+Kj^i12y_>Vp0S?pB`ep-IUk)me;VUlIsgBv<puTIHcO`u?)
zoriQ$f+_Ts7Y>oWs^I6FPK+iyC>SO0n)hJX4DN0I<<NOv6~|@^v`#K)VXDJDUSDks
zSO_=Ve1A<9OJ2O9%O2IlTyEybnQ$sxy9oKO?bL8TSNg$>NDXW|EE6Q`2H@nORp=R@
zhAAJkRfAruVSa(5nB@RK{-Z7$-5xb;bIfyRY*9hp#|>H9TWP?|tUpjGp@xm;S7TEO
zl#$NW<=X6H8Za`91lm1RMN9q*J_&miF*H>-K5>x-ZFh(B*|=3PHHoW7idi1pr$jDl
z$y>sV)L2W0wF=5lO9g3^%HT)Avz-(pOE8W3(ABhqjEY}RI=mX)=x6_G<6eDB*m`}R
z{vUf~>>h956`LoD|8#50%%m)Vm#MCVk*tJsb}pm0s{}FTNrEH&0u7?9^jga16!2$9
zz%gx85~^m&)C*M5Aguk{<2O&`G0pK+t(p@Tc8t+&KN?B{Qs2dck->6!C;AOf2NNsu
zO$QAx$<g54(@yy_YO;85RIYJv3Ij&;D)v}x=+TL>mWs1O(pVTKKJsevFHtzQXnrLa
zAS3s@dsW0HRF%tJagqK_oSYRo{*DI#b;GTwS`yg7pJDRq!8{>(_42dnT~wH+d5*KO
zh@muQY?=1{Nwm8B+?jOC0-|Xx19@~J$U%G#*`hN;;QQKD=Pq-IIF#7yA}fS<x0~RO
zom0e4pDd+tA#=zJn4p;Y3E(W-mVK)~CW(=%(!^O0GdR<%wJoccgo6QDmThH|gkpsM
zIrnT+U>9ceWenj%@}9M}s_?Hw(B8+dxMob?o4~Q{72A1`EA7tdLAq(8!ThnMy_pFl
zi19x=Cd!3Jf7Em7YR(W2v!16_lZ?TyvMu<PGzYHw){c@!W{I>Eru8S&Mo{~5$`uc@
zp@t|Yz3$(iM2616#ZDU|=)Rv{dhG`bzLe7DK3z6PFuyx{^U^~@h#&vepjN_+0S=+I
zdy^N4lr)XrI(|d&?`<`CTF8W-ysdc|ZY&WAHu(mAXAD5|fMD^FRz@5SIx-UT=r^&i
zl-@gdRv#X<dS)&vF=BOk;J&M$SBX={7Eiq1rw`Usiouc(7|=Jprj4rimnevwnDidd
zgWT!0GeX-L@UC}PURUlvqQ6@Fx0#0?(2akl29Oz0PpkXnf1>mV)ou>k`*b1s(54n9
zX$EYxXpFQx!ho$zmv%n!)CDS^^;;z)1~gpoF4;1`h@Q7ze{ue*1LT#w+GEEUuqO0L
zLDKGx_lbN@-5jn1%-4^OkH2TYD3vD>59V2LU`psoKAR4>C7kK#-ol7790Sw43fYix
zt)V|LOB=>MQ;p_F7;!I|i|#=<2U7BOnhKk0gHA!Zw0Rm6vPqwR)N_anlewESPYzJP
z*S?F)c7z#?C>0DlPxD~>_}97F7z)roxR|qahz0i#dCU9n<-?~AE-U3~6!>6yGI}Y7
z6}@x2Hu2mb;XwC^_+8~%uv8%{V^PJ1bcufR$;138L*`iCr>F(bLn88QBskFbtkE3%
z=8d_lv1LD#r3v(gzIkm~oLGYX(r4cZVSd%?!DeMmptw8Fx7u^#m5EPvJcmWF|H9>j
zY(fKycHCMCmgPmB-q`j^vKW$cx;!o&)&MeBCTDCCAHEw~_Xy{d!2UDiMV<;8u<p-N
z9)F*NyEol@zed`G95xnfhKuSDSk;up+Ru+?(~RZo&86`UwbCeYNFBQAGCb`R1o81b
zSLLtoWYDBJ$Wr2yIz(i9J&V5}gsk>8yKI@{u-aaGmlT}_m=^Rr>ERGT1&W(omzzA+
zv#+x&&@_NqMXo~mz9@2*JPz%6p@4lXKg1P^G=M2mHb=x)9Hn&xb`EXqArU{NgfIh5
zm^&ZJ_sK#M%c|b|dGbIRzXm5X5c8U_>#K6Fx`7l595^1cYN&$FIb2&mjcGxLjM3z8
z1sObJu&JE<UKQIG3XDI+QGk!`NUNloEb^E<v)1%c$3tFoKRJ!GL8Pgvf7w$GV+Yx1
zcKpylFCMn_OB^~N^?|?J?UFqHaBuZc3(~?E`|`T=bsad@NiV5eqkuhO65=I?DEMdK
zrH!?)9t;v3ugm8Z@qOg+FVRfeNHFtQYi;=VzH3d1qRPtHIip=N7^jU5T0SdU4-LTV
z#aq{#u4J6;JH~1DMH^3Y`CX$|FoN&$7yIKvRB(6bfle7w9Sj|+bv*dO82rg|DObZ)
zaeSN8XtB5s#+Vo0W$-YCI_0&>7B4ldGkEUiHldAYzmfV5F_=Tvb|1I@<kfNE)E(8h
z6WX|R*W}^e`xfA1eVoDhl{$8Z%x&}eK*5pt(1%7c0OZTYI-(L9xH{ZRaqQH>Z~j-Q
z`-cFII?VH%SZSb;%pb*?LJjnIl(EJUPlMPnlbdRq8W=X1=H$M?2^IS{mkbJ80uRFo
zX7;ONvUt&`gEtv(82HY;kF$gnV{3`Ww(8hb_ePHSgd#Q;(vgC?E#YS6v)+y~Y8$?$
zuD<>3#y@DAZRKULf|5@>`46L2F@LJ_#0_0(EZyzTS|(%#mIPNzf}08sPR@uwzAuJn
zw<a}puv!7fmIaF`1~R^|iEI9nD2N5R+y>u9Hu70zwVz2<LIK*Nk~bZ^_;hMzRwmaH
zTB8OZRf;NNU?G@^m9Zk#yD+)U)e=4pUQiNAlE<@@p27J#I^0n=JZ`i^gVS#8980Wn
z==9F#;hyP5V&dgbOYQ44aNqnO#pb*WiuIUvhW`9YNCfFlaw*UtGnwjNEFy)~uU>1l
ztacEij(dN^JqP&i{U<MEiv*S=*(WWWD56&DhI}Wi0Q|0|O;x6gqW7xr_ny`c>UezX
zt_Ouw*kLemZjYoe9`Am`Etob!T}&T))!ASHZ>!G^TQ&<|{;|7VE6HP2p?t?ri9gIC
z_uA%Hts8S~&ED#A^!_-NzOJORQo<aXek^@8Ji?3P4YL{?2PUXL4jGouJDR~AA2rug
z)0`Xn{V4n${{;0)?aj<X@uraX=uHea!G=vK-z|cczfeWPMCU}`m_VvS^ZpZ4%%~Xk
zXzwnYF>1lt;;spH6EL`3v=DoM5!WOxj^EQBrM3_CdEDJ*3`MkMrYoxSxNC9ZK+mHg
z>Q%3Yp{w~uAQeld9t&6}{JlCm`}2CKk&e<8HLDxE_qtNYgYFOUt*b7YINCw|-4Kvo
z<ZcMH>i0E0*nSh2ZA2Pg`@N_BDJmTbe_;URSNk#}BNmCnHyZczGuKhAM*2qQ#0)_D
zmC_#HE%U_3-n8B%>nGGs$6>L_bNa9?*RbQv;a^15NqLS`QWEibyT?EIpL*aT`^|Rz
z;SWOe?Taq`jF*IG@2=W2K6((@mST01`#bT|pt3?!{|%9GouTz(w=Uc>z9H^DIZZ?q
zH0<lx(?Ybg^Y2)8)&;qH()k7IQ-rnLO32ZB9Ymo}Qgi!z9T1RD{wLo)Nyw}xl6d)g
ziOsSdN4GfY0Dp3v$KMYVgo0^z$ZXIc5n-;tXw;?+p>%$f8j%Si#`WfrLEle=L|lm1
zH4kmz=n_gYy*ExAK9o^5d;2rtb-K~TV2lED#+JrWk>i96+g$yN-Y>+i><M4dqZD|(
zo|%*zKThPC^JT3oPZH8>n?J}gP=KL~#Ms+BPDt|Lrk*QPMA~XaL87`A#5!?Hm~5FK
zW~C%+uJX+gk2g)0_wUk#WYOY=#`y`NwZ7$7W!WsDK%twHzNP{FhSxvu>6j$OO_P&y
z>wgkIEnR<88`WVu)rfTC%U7ahu<1yd^&H`P`?Ql1`-Wcll&Zc{o+dgtV|<Q$o+mht
zU8t>dQiF)zXnOw4Z$wk^+}82zMdH*|_uuSyRG~E5GRM^RJMrj_!RpcT%Y@uXCi2p>
z3bZ_SnXOj)L9~5+8v7<`g|Pm9Y(9ae0_De9KltSTBo3aT{hs;ohw!qDI{hw#4B@On
z8ba;A2!<QS<Gn1_iS?WpFW>xAhX0b5?_0^v6P%efWpT&pFjF^rCF77X1fO4TO5Nb6
zt$*q&wWsOvWJUk?6J1Ksx-94<p|wP)(f<0C#WLcJb0Jd~Y?UDC?bEGW7M6*ZP2C9-
z*31~|alKmNwIZlVu{r;lTp^y_jT`@_&59R>>0~c%Rs;rD=)S?TM(D)(w>vts<9h9#
zX1f*zm`WX~8Vy`0R)Rd5mvT5!MymGUFHZ%CbmVi9IZucCU90<yw0MxgAv;q4w>*?d
z+dQ_Nr^oXFf94OJ;X@fPJ-u>A9zGm5`JtS^h<^@x#~oqg$5ex-Hf}cZFywf7fo8?L
zu^&aBt(FU5jgka=D!n{JM3%V+s<EQeuOmlJ+!R9BU;q8y+aL$xQ4W_It=LhRLs0Hy
zx(M3#)zf8W%E42~nBsTWH+=mGi=KO(Vi-98E#yhO9Ow-P=ZK4JaFTudqkKzA{2u@S
z|Nj)1cR1DW8^`Uv_jVkPJ<hR?{ka_@ib9AeBeX=?sjr!ol2xH$WmQD>sLo?#Mr9O<
ztc<dE6hFUz?`PfDb6xNE`+ntfq`Wy6iHFBF9o2njco5s9WB25g6td1OFc3+>L%K7=
zm99lzbaYyUecw+U;!I$+Zg0WEC0Nbmdc=>uF_m*mUBsgsqqq1q#bkkA^vSs3NkL@7
zW)ky8P7ZzDiayklAPYQQIgNY0gpvR0vtyPk1XQ?@n7yeZ2NT?}I`40Yq9^}xJ5P)%
zAm7t(%(poSV6{GLf$tSZuZX5D=jW7Ai>|a84PG8<pGL=79F#(q1&zt9{HmzYfOTOd
zSOI=;e^QMK#i7^daAPrh)zMGA=HGsJCGc@GObYrfgItAkIoU0Vi2h1Vv=Cke*4~q8
z%TCLp8F#bjcfKUld|6@AGg1wV7aLqp|C2*%+C~C?*ENytj@~j+fe7O+!~B*{<k1`J
zR~Kl)w9vt<*8)C`BybR;s!}M52<uyOz2l>e>~CH<tNus}^dw5dgC~_x8sDC78wnjW
zbfMJid9Dsz*DN^09if6k6gY-2r|6&ty3bSQ<76nU54SL6QbT-tc7DcfIw*VNQw*E6
z0aWrk-+bn$juhh3Gpw_9kaz2w1G-H{z>xgz=<<CHL?=JpoUnU8bE{2=mlXyt>C*6C
zrbKivebG)+T^l(WgP-1afc6s;z3vG_lps_rxBX2M(XQ83z1%hhkKZ#=vt>jSJoePj
zL6wB+iS|tvI}|7;wEDZ`6A@mzwYSh$9T7qpc>KD}fG!|Z34e-+Hm_c&5oJ?GmHHFz
z&gad+gMW(m?wSS~A@cIoTqPhsrDSfE0dq+F;m+#xP8}(ah5v(T9NNAtl*7($0Viv&
zzDUtkL;iauzp?U)qSb_*fj%Y+=r@>s>UTy3`L6`cD*fd__3Zr?cD?5C>k`l3`{$I<
z4LuVimPC(2Y->ZNL(F02qh4u%vjSRk6h0<VK0^)c?G7s9*xipYN#0W=ptCo4Xr9^j
zW1}-N@_VDrpohj$kY*i^_6B=31+%VWoUt4vr!@+EP7PhF>cF9zxtj_}Ty#*+=GDvO
zNdYDEZ&zRXOQMmM3v@qsm|#!i+_qS&DI6<~n%6!niU_^9cgo3ZP@hrwbXMCG6un%_
z$;E<*m^tG3l8+O_KF_2V<p5losole<#fJu42o8@5xFGFDU3-oMfGy)f*Qs?*bjIhH
z{#*(-Jcx_2_@IpeUtwp`JwX;^)Ue0KgpLQ)XIs|9OiaL*UY0HBEgg!C__chQjR%U=
zw!(THjY087jj~GD7Bw`6Qvs&AL2m!SQ`i+FILR+I*@IiA+Uw?g4S2*2vLDX$p3O6a
z+`Qk?Z21#Z+mN3$?nc~jH|8RCX~Y2TmHoMAb>uU3e_yTLqaiK`t95wlLok41++e`X
zoOjqI$wGGRST3lemNWXE(+87H37nD05EixJE_>LX3mz(`->7NUgR^TB6+O6V>{!{S
zOIsu^n2|`5Y?RZ3SsT(blH?**e0Si7xi%MA-|V^i_ZArfQkzO;u~qDweGUzWI~U|q
zjO;d+bz#OL`{7sSKbUm4la<2mzjer7G4}D*g{s9&o1*By*eN!P%5r&b*iR=ONjIni
zWH}_(*Rg}`>!z!7>EH$rlg-uq!#Xg}%Ic_mffio#c4@x0;{lh`o#xn(Hdvdbt}!jq
z!Fc;@?%&TmVB}`?^6l~6dX)8^3w{isknvJW>@+V#vNVdQu4_TCyN}!47e)vl(t4CE
z!3Q;q{B4<cwLmdK?n1N`GrT7-4zW-2fof-|y@jF{xY%=8tWa4X%%s;_yqzCHO!Am*
z+ccq-x8*^yDH|Lec;$DsRREsebnf3drwMjU7e3$p%npvHE-g%q3c{W{f<YB{P55-e
zN#^x=PI%^fN=-vV7=9Tu6@2d}f%Ki2iWe%}kkI>2Oy-mbeBxI<xST?Q3cF8BmqK_T
z&LY$JX1^#LV%@`<=t+X_r=$BkF7g6fsw%6{ad8-M8FxKNBEgxNm=|K#`G5=G6y?h=
z3F%qqI?XvqaNf9DRpdTD3=W>i?HZDT+JTE>97{yVZ@jnv<vRh;KeXgl?t_D}rIhC_
zV?@Z2WFDsbCkR8ymASqrWq{wZp*?Ms2*pERGH`an5TG^}zkMAKjQMI$dgqByXzK0I
zQ6&Ofhh+9<r^&+SBkiv~@4jpOF#F1FvKaj83?8QKkb~oSLMQkPNdTYbZv=l3hdj!X
zuNsp)kW-SIRIZc2md@VX@v<cR)pVY^y+;9#te=W|^O*#m36mKnWNB!eOis#=RfL+S
z7Z*K@HKFeFVGj2w94IRe5mb7Vps|aqBo%4G!&HgUn#(d^tF~w8g`f%?{n{_|#$5}J
zh|6lr1mU4JRz^F2pDMhI_$1KGrwx2J<NX5zWdU@0+iwM^!OdCYNf^_HTTIMnmjmS>
z5u4$BaZw$ln^*CyojRZwLh<zoBtR$|vuxZU4fwRwkgwRK3!=d-_RS~dVdNOMz6c``
zhP6Ij&YC3ylj?*`{$T}Bm=3q8G9|*=&%@IDB=sSkZuHNVks|Dsh&?{wPJ|R(jPNUW
z1L&r!I(wL130fPUIygEIp^jZyoHf@FVnaM1sURgFmFj-nlp+E>g8<%l$p}O}?olS4
zl%eDLxVLnK22jKW9lG>Qpj|5MyJxd95EB$I*&ubGwbqz#KELZr8k$j}JSs4-*EwpE
zOASOGJ}&ya51=_vB0FAH1#FJ;s~tS10`ghOUQas#zP$C@A0ws$=l_NH(gZ63-2$1t
z+QbwbqW;UF^eY1|!&pF!mjbNzYhLk4HHD3~6~*Y2%3z{AQh7_60C^vUL>s@Gf?#K(
za7l*}tdPe2T_*4#WHo|QW}(1c@h>~ktV*Ewnru3hgM)VSjMKy76tGQj$k>um1mB&a
zZ`}(L(9t^REGJ3<^^a=je@G}mTA7n>Rj&wGHw>pQ(o*2ii=?Gk8hMyci=<Gv1ff>=
zeQtA~DVWCPeMsn*1C~p}dzkWh;l?ek5B?dZ5Pb2(w9^w=@XrqfStm}IaE!F5bTftX
z6rW$Co_JWPx3<?IvOsr5gr_H`DIEUire7#81D;ar0W;s};n$ty=<!N`*i%deQ{&PQ
z7ST6pXGa5fvQ`<-9syvidEny{F9{o`IdSh+H!+_0p5DS841ROv949)9L(_7DRMY)6
zEJM9tLd6sVdkadLnxQC2+co<$9$LoI-S0EK3O51aIIih_iZIMZN8}C&E@C<^O0?Vc
z#xQ4Ws&+Y05U$S<8pmDcvA)|GyR8_*IsL;w^y>K`$&aS*&EhQf@M#ud)W!(5GTwLu
z8S+8<c~-{w>RD`nQ{V)1vLWz1IDGKkHy(&jTFLakHiz}uCdQflGyv7$KiDx7ZrBnz
z*(S`mfbow8_w<qtAX#b9aE6N$(%2^_ByfwEX?el>ANTa34om0#A<GVLjC$-Yg)U)J
z=WRv;e(6E9#s!m?S6LyFu;xuKyn^}EHT6X9)dPGs*S-fFEP&_Tu?QYq#V$&Rb_*Ag
zAtj{8ad(h_>qouBcs{ISZD+y)a3W-Qd5DFn>l-6jzGn9(4E@2TbzSx)M(KjumgeRr
z7b6&{m+1WA`HQ&-ShF5m*8z<_)jNXc7+_&!BhBa7Ha0Z*{eH|D9k4FpSW~8DfM(&(
zHXl#Xz|USm35F?c&<-3cd00&kR(SzVH_B+iUbe2a(@z_=XXxwMQ|Uo!Mz)idhaM<}
z%RY0{TJQxnlars)|6l(-KSLOR?yvW+(?MD=+S^8c_MRRd(5q&v(KEq3;fIFvKTU8>
z3Rzm>W`MZ+=R1_rnc?A4m$drW-5l{6P|3Nr+h<Ey(*-A1_^-*FqjNVeKHj|_KxAQr
zH#ifk--_&D6!Zu^eM8#y9eF0Naz>D8bz8`h-~@{s89APABzRu+%G5cM2{?W!CN67n
zLx+iLiQNtnEG`QMg`Q)EHYNUcrD`6S-24+?mQRGF6yYZ+kt{IG9XC)p%L_q03AaWL
z5kWxq?{ID<D?DK`SB}x=2fV6xkufI`UaieJt#GqLo$D9<q%;BO*9z*nk*EPyzdN<q
z?{R=jE{W7GB?RIg!xy(jc72HL%Vv=l7Yq%Z{UQHG7;u97s`ZQ1fwNpu;0*0<eycH5
z-MJzPlc_Yeb<XNgTgi33cbf;Eath5-ox~ye<K$jXUUjGvv}_{s^MQGNV1bj9B+yYg
zvXn;Dz}j%DKL_K7EjaBRe?=NxUKP8Awy43YuD9y0Q361w759@F#_jsmHc7Ni4H7K(
zI(q&T1X_-~eGWo+uv>js#5%18gU=IGOFV_)mh1ubxTCUgi>Hi=6xG51hzN;)Lj=Ak
z=tVGA$-(Qd&(zss)j?6kP5j?WF}Pvp%}<t*2b@ig8k3j?=zA-<gkP6{xPb1JkI4!^
zj!N|s?a_d@jE((-lTz>|!%Xdph!ULhFlwIiAi_J7<041(a8NfGLw=T~4DuH)z8_p5
zf~-VyQL2>;d|Hf~^^{YE(=EkO{OKfErS<$$atse{r4}AKS!$3&fBx|)e@&QQj0rp!
zEel42P6v0mG~o61zx-B*wSe|Mhu3(q983v*t=-Zff_`_)q|-@l$S!YfrhF$rQf~m~
zsYW6cG1=%Fr0T%l_h#Kw3<?lI-!#KzLIMl(R{Y*6UHJFZu+E;K2mvT`^Tz`cJp5%Q
z3J3Kdm*q~kB3TKZeZKZ*W|yPxc;z_J_Ugk(XjemkmNJZ5)CEuO)@eUVp9=Fcgckpy
zua$f%&@x`YUKdY-*xS7e?b}A+rWq<4*`WeB^3eAK1QJZWoNaMRGJ)r|OFnt-s_;Pa
zamQ#l5$wx8xfyW)j6>$t&T3V7e@(aapuGkphw^+DuLHO+DLcCOLlx{5<wZ)3)xau^
z_fVp@DPXab2W{=DFd-r8yx6A<X^*bDKL2eB44zKSve#ANU+meXmt;k#7yfSg(1ijU
zzLjzeODa&tb-w9T5CLX+lrAvmQ9v)@<k4KB3NRae3(8HyLrK_WCCe`q2>Br9Yig_v
z7m}0TCKO78gj5fg(j*1gq@GLUODVzdU<iKFT?{&&SvPzipnwrRXsP470wk{H--`AZ
zglEnM#rG;HV3}?02VwGHDeYI`zQP0dM8kd9LMV`0QNobJOMnNeWo@;LZ1B0_o`S0u
z1q_tD)U8rwVeo7In@U4^sLT`S3LG#6<vYj18l~{y|3RqlIrkQ3f8$ou;#E_)JSDyP
zJ|72R`OhsKsur<xr>?cJ@tMLF&VldKRVjG2`eo?F-Epk)?WOc1xd4T6T-{DoaX7kO
z9pop}h25C<-lEe7Xt?ySYE4lTJg0evta;)vQesQALh|lh;lNG3S1SaWTe^3{p^3^R
z9vgT5oeA_+T;0$K7J#?3UU%DAx~U&dE5prcV<=elmy7V@gZ&fNQ+aQErFzN;(4H1G
z22#~mhPE&s7&IH0cgOmvq-QS@sr!w<Y*h&NA)XUjM=C-_KlM=umYwOlZX3d*H^(l0
zz03yX@$GpmRbQxl;jJrGZ3d7X^0u;}gc*J~MxQG?+D#Rd6FBR~YXBYp4vP*LF+!i1
z(rX{xPO3k(Y`*-6KIo6CTF&qKd-=YWQy+aAsay9&gDw^6L7Jnf^Ft+CkQ}@}aPUMa
zwUkfWJBUdSs`h6bsi51z7F?p%{L^n?N7dq01HH-cDvqZ5J>f6*f;?eXqg8`>hKth~
zH0VOR+cGn6$sde_mlxyeYQY|VSqMy5)P-l!ZPTMq*ReNvJ0^CUF3b@hEE$xj1Jir%
zr05K<VhbB8CS&S-*gB6ULllh;NH&G_HJn|+3~cHNXSs*4LYYnH@^ji?xWw~;*J>FX
zB+Ev&tdC&5v*y_Flok~2OGpazSi-{H!?jd@jbmK;wYMj|wV-`d%5lAT5#yx1vMU>%
z#8#O49g2rF;p_FH&1mu>=0t1Pqd)Nr3;lTiE#6xbZd%55y`5XYP6=8(_urhwnCyG1
zl_p7`x_s@^bk_p**iCEYYvKYn>RLHi5=a7VGSPx%WC5F9lSmIEFJVC=$_HO<5y94x
zDY8;%5ljBUJi0QsjBRwE{l;~N2-bwhBkJcCv9Y-N<A!fnF~<e|(N;+!)K?!0)LmM{
zwl-!fpX9D%@yy>(79H1sTcKq!(hrv~H2;a3Q}hQ5ldcFk{zx4@Wy{`qcVrpkN_btM
zI=F?U)|P&&?p6c)46!6%>lN(UTj!!f+S}OuEL*Dr{@uJ7TS*yqUBwzoak&mhXh5Us
zLAmW=Rj}iF{o-8w8s@9~cyY6a79#iUEvU>>fedN+6Fqb5*d2KR&V9P{u=Cwag6FR?
z6rZ@8r*-)ccKCzUbaod5uqK(^ymLqyDp}o#+NxVvoO@^H%OocFo6eRJSfd1Izt;pV
z^8CY0+R>2Je=NY3*<~w4P=bnH^Bo$c9V{aJ_M6v9Z165TuXr(85gscSj~l$9fy$fy
z-KPdPAYHrECZ1mrbfn_y7isCh*{A>OURQ1~n&Jt`N>PA}d37Pu33_m;ag8@-<%LwO
ziE<i61wca<S6UVs;5DQq8QkQ9`S|w(CH3-P-owxMA(IKl){4jflNW&Kf7A0DyFByv
z@JWmN*H}PqyV{+3RuJ0BXLy{X<)L`xcg&jzHrT#m&h-1cFeu47{(U%30P!oPOwzR+
zz_a)z+w_kpEcb`vrfUh{@n%n6haxw;nB#QfvygzckxRHAc?9sS<=IO=#RE1_qo>s%
z1>_jttf-d+uuMMSnsAs8GW&~NxodF{J=HmOu8jbjkq3z;bNrx9&n-WwfrpCEkp^E`
z<Y6_%m{~qY5SF|~R-=$CJiV<idiS(E+&?2sV-zk7=e(3?X8m{1i@KbV-jD}^h9rmb
z4N>@0b}Um=TLC`KdnosnDF7cWNnW8y97e5<4bAc^!Sp}Y#G-sf(AbwruBVfN89Rdg
zM-~;hb4YHF{=n{fZ;Ff^h6BoCDZe?V8r<~=d2-HC1<1I$gop7mKv5f#y(Ox#tA`1h
zvl41xbV&SN`Z6BM63yun6Nqq7KBw%5fd*LTrrGrS%7H5G)dTB$Bq)iy&Z{!8%iY_>
z;vr)MV3QC186B(%P1}(dUR!IzV3LHY&v6B~=fCD@XQKr-bLkl?cIVP(Js)*?e<{Mr
z7Zy_%8@oC;c<EAHtpgi{bCTD6l_553QA1(ZFX~uppOebTaQ|oOh4Z`lYZ>b>@u*N6
zE_sqZ?<ybm(@(jD3#-BEU&R8ObZy9*RX**&ZUpSt%5TSz)nRJ^@YW{UkfSjeUb)u<
z%1x{yFc}TVbG_#n7^MZJhgdg%V*p7X4buO%Xh5f}=V-+RO}O(UMTB#oDO^YmCHwFZ
zVL<;P$2Knsf}@VDx*1U*G>v^APlyQft<P9>yVT*5r3d3_HZ!0XveT;^(tr-Jiz%W)
zDq#A}s-U&d3`z_?m`dtvfX}Sv(Mk~o&<}a7*Ck^Ptn9k0#h?x*rSgG47-b<{=b0_P
zuQ|BbXA@ojsY00OGNUxN6#NQ_momL-4&nptuQ#vm&L?%^+dGj$FjBg3yUN=f+J784
z5z?Rpb8KC=KbvvG`-+Oy3I%iUc((8hO)9`aMq{$A7(KL4bX8saXa*mxzcnSS5Wq%2
zifDagmycd8Y&v?Gfm+~?BR|$;fyNG3E|`84v%~40&>pA2jvdznsZAM(1M;1W`QOx_
zvZ{8bqZD{-%i6cVj04%xrfKE54eDk=LSb6BDI6!asnFX=z=Lo8Pb;6&px?BvdHGhR
z;M$VxCxt{nChcKu;4^ykxPAR@BXu{gUx+Tro)84KfKYecT1GTmO|UF70H_?A(4V&9
zgVEV6xg-H*)D+DUHGTnu$(UP3_9I-7c#y@I^BXfNc<*A44>bXh{}aoc#|mFl!oNon
zS<vMn`g!mB#&AYJ*<)pr0dAAD9puO?=&(V}*2OX-*e>%iDompRr}4e)b<8X%u<GyG
z;UPmfy<h4V;npAQ@l<`kdnGfH%G7*J!*2+y8s!RI=}TDRPt&P(XJ#aWi%FNaGk^<E
z48{$APGR}}`5Vs5Oeo8{>U8!4eF$qI;FhWeu!tNea7t!Eg%1?=d>z#TpC6noa`Xtx
z4nHGYvzH06T1HN*lJy|C+=?BuY@lxYYx>^dXF|p_4T*$AGK3h`tv6ror&fQq_dBr0
zh&cY-F?C$lg~Kw1qSTQwYH2fx(`UE7o>|j#<ghNJ4ZIkCb@UgtSKZlXuMiUwx{{o;
z-lPL1MYM`SiVM_F`gZTe4>6&mp@ADe^>iSkL}}Z0YKb~F;V|(04HNRBJPX+@(%#km
zaarQ^RVsZ8%IdUWMwZUvocyZVki1~Jwl%j-9lI1Xetd-)*`%zeiWF+WHC*^JzI~h2
z?DJxNQLQZKwU%tmwx$+D@VNfR`RFf||G16)o+ef#&vVPZ{;ej2?7?^Tj&D<Cvz|`Q
z{bob4W68d!Z8d>)(kpo=l?M4S`sn;N<UshvwlMZl5;T>Re%#wki<-~G9~iCVMA^Ar
zI@D_<xc8LN*Jqm!u{3LhRC;lvLpH2kuf#}@BT)XQg2I3rjxCutKjlFKRkd;4R3cba
znTZr7Gotg{a^e%uc+nZV4N<~LBD{^T$DYwJqpLMaqqiIR(532wK4zjs2)%Z;U?7YI
z@vXj3#L)_%Ddyyo%ybQyBH0(Fh_fM<&YXM=H$hZl@vuH&m$Nd;UuX&Uup>=1@eP|E
zA#{T0_l^Iu)#1Q9HkYJAPGnD-&lLy|L3zJVzN|A*hw^fYx7AB-6wR~oNL*PAdEFM|
z-uR^k^-=}Xx>G#pXQuq^K~@QLJ~C5w=Y<+f*`4zf;o(E&2CKO_Tv90YCF>K~a5WeU
z&$-#NpC5@mU^r7HfkPsT9R2?Vs)6b8{Z`{S0tnA*#^+-pgZBL!i?X?@1|t?y9$7*{
zD33HuV;zo1-sW5pIhksZnk&3wm?ezbv-01~e3V5Ex{^aOGiqQ$qw({JwJ56k9m#1y
zBp^XI0rP5ibs)Mme0Sy)M<xb$@$nh*h~7RnyJ}q>?j2%y6)`J;3Yl+5DM%?I!#T>8
zqB;$r&Dodocv=coA9d{8pQD6mPlu86cX{(?n~b4y7!G|*U7)8Wsi3i+_1zhpMCj<<
zM=ed3L61BLf2cL8h^`S$&y<p&p6Dj{x*CtH>krzWF;GWe`^!4KV>Q8Xe3ZLtOcoXV
zJa<z&R|9#_6usJeOA9oZ{MzpG5s;_X_;0JLMAWU6)g+pu4JJFz%{ml$B*x-;(3F*g
zZku=Z%8luO*vxam%rgq8w^>VK?HUQSTU(bL05ae&EFN0Fr-*#6CZ@==k<hua(tQn8
zdQez>;Qj4%B{ZlN-dj6ELjDe^oRyXa&@eib!JMLuBxu*p#to9t5r><MM@9|dV91eg
z@6W2B>X&T$N0Uj2XG6xACc+pdGwn{|@Ty4U`70J_Q4+db;<n)_hQasxqqz&&s%RqT
ztER6P5&dxRl74;wK;1!|n|oOm-D^K&-#n>~d}$)*_RyI^Yx(Q@UCe5T?~b5qOQ9-C
z3Q&-COE(3t4}AFlhE-9He%j`;yfWG!czH(xPk|o_jqy>}Rgu(0<4*BO1?2pRn@=K|
z0u3G;%B6!UsPmwOdh0zo<Xo^Q74m@sol{)tj4Ue1jlc2vfg%}{OHsYgzeE8>&sJA|
zT4nUk`<{jFdr4$m?#F5HhXQoo8F`03E288KtMAxV5hRozWBqV9U)Zij{nHFnK=R?O
zSVby7TA7WGD%<7FI{$qCej#~8w9M!ZzRZQL(eHnhaft%jw=%Q%)8r7xGf_L#%Y@j*
z8~vjQ6nHLPGNddei&lmiCmbDVkgb<Y($N-Epf`TFCpk?9-MT;8hX1-sz0dD<qHdSF
zy(NPz+X*;yj6PhqPW~6wf8$K`+jW5B)m~4v&PgJ%{|=lCEa{`hPi9qg-3GWwrN#WJ
z#n9POGp$MYLh3D9GXJs|z>5G!244jcRN%g6D#xQ4i>kddMR3Ky(wK`Q5D6m31uk5w
z*%yo(d%JvbH>aAjCf~6~^CJ`XPiOMSzhg!Z9g_547=vxLHk;jbUZhuiU9>`J7#p(-
z_OktE1k;?km6pJbDop|v!k-Ld8P!8eN<2m|%sk3MJI0Qd#(>_Ie;CuibjxUL3}Ne3
zpSR~A3%U(1VU&l1Sl$KU?ygt^2<XSxt}8PkvAcwZM>G8xt+z;FM6W)yULg*?ZlXtG
z!80bC!Mzw4{YKm{ULTU-W0c5CT9j6y=hG7Y3ELc{c~yE*59&iA@Zvc;)U;B6<s9E8
z?7B=p4t0=0zhOIeKHx94ZJDl`rLzM2>lj<prc8$a0RRC1{|uLRIMsg?fUWGkXZCe3
z7uVjt$F+-$3Jn<*ic-i*KT$?VBqWrSQOQW5sP8AG%!Hzp>^&0M>({^MzjL1RJn#GR
z!~I`P#cMcCiMGhq!DCqSvk24dByEVuU#T*;TETCX_ESBEUf`}TJ@U5}w7}JPt^dC1
z622NaWi-e60dIjQ+j>_mSTcI5)swo2-)_Y07UMqSG0ho!-n43h?SjE{f#L$bMm$T~
zx%w3^{aQZPjA_EaT*JO>#y|Mb_K)`9qd)K{q3FnlDh=2*v^K~iIgbxr8`<DKI)Lw5
zV{c7X(*WAYFLw|BoWsXn_qRM|8O9Gt8#l9-t3y?X$WCG3EWWwmeWA2=6we&8H<40T
z2L@5iB1^qlJf4u`85%NyEBo-p)Ksg1>j6@E@AwRUKKjVjb?P*3z1eJvgBsi(@*-Lf
z&)|tQAM*?3=J2x)ByX8E3Q*EEr=JmK@e3KDtxr?u@e^r^%$-Lmz*WE;dZcs~k2dFt
z*OXnr?c$WDFZZhgS4xW2?T|U#F!%7=`sPKvRz>;Fdp1>gaK~8T?d9LN-<?MAOIpIG
z69e|S8mmCBbCgT!iFy3ufN({W-wN(jP*Z9gq6}MOm+plT|KN(5Z|pMt*Kqbs<!H|;
zGU)vmC11e4fOA=#QoMd=1FvzHPi)#yf~{M+WDed%oa@t4(d~sTyo`-{JHk>48ub!O
z1@-^po`KaVMaDFUW%j|B>sg9$Ip%9yYU~pJp`^IjC65-d)z5f{E|5Sy^M>!MwPoDU
zsN`w3G(8G2bhox~Ac0oLe4k#%Dn1*q|K?l+1G*k#^yO$Z5u6+Nib-zkc>9MDd!bZD
zL>NpzmMKSs8`fchLN1$lgVTBkDUKPr*PpCCnxz2t)Z7fFm~EVfPS5mu2`gIci!oCW
zQ~(AR^Csg9G{|o(FMx)T1HCNgd~qY20ELwf@7{c%Mc$2)xjDDFkf&eUyrUuk`YQH@
zH0jZ!vvsb^Q<^*ok+}L@-pPa3H$&>_4hA$i>11Dr^CETj%BVVTd6+8Ny0MtTh^jr+
z>p%PRqwp`P0bhmXLDoS}Zs#I13K)H~>}(~7rp{fTrhb!yB*OE1ei^JtJl--S(?%Fg
zMsr_YEs_J?;C+FvBkU-6)A+>qNKq8d=@@U5AO}R^u!iz!F63~)&S(FqIFhL_HeimH
z1D?a@!_@_O(9iLwsq~j6k?~3oIqaq!<V*{%b!GA*w=bdMK$1p<^T!`v!R6q~Lyu>B
z4f)YNo15)N%4ATr#+{GPIpiV5k1^ouE<t2HtoXLgQ4T$<SXyw5mIwNWP2!i9g-~9p
zpzC2i0$M6L_Ux1_0dCV;C9iXdqURzxIc>ic5Sh<Aw{3+0DvVNBqxXxWhKhxiqEQl(
zJ-pG&%S43P_?_B>x4Y5Ya}#Rayb=-_=(6=cM1s0@$_QQ}g?zr<$w#az$ns=FO5}<n
zbh1CCsbZHw52W7c_z6(Z?;BMIMkdMN@TAbD@jqFl+!?ZxBBO>xH&#WS>Z*cSl%L7^
zjvUgJ*WDn?tD{zPHA~Ya3OvgRc3Dj%AnHZ!&K^DuG%Qj4vnxs+T!^v?!{S7A)HBlb
z!mtK1NdDz-Le&JB4EvYFCnV%{(9b0%P7~Qxa;GS0YD4L(aO+TIC1lTfOYHrECaUni
z@VnVT7yfo6@A-9`jOww*bU9%yBy_1({%Wc|NLu*l2@Wcw3%SBPvNM`!MlA;}jv9i~
z>Fsl3YbuCiRpG0nmnPZ_6QLO~z<|c6(q*kn6=nZ8<?=gP1L^gS@BGFAQoq0C7+0sD
zpUzJOq|MY(S+Vn<xHc0w`Pi2+z>$JJb3}Z*`;3Cl(`^=itEIy0)^ksenp4nf_bajX
zSITH!e-I*~OhK2^$?*g$1%<_J;XCCd)a!UREKA4?xXzc4O`EBrnjNpKx(o7X$>?M4
zy>K&d9WVK7Dy@Pp1h;8)=}4n~yL<UDkIkTcnvPUlNk+38>>~s-QIumYb^tv<!oM!+
z-+a5{*4-LrC8QsxY`j&<i+C#e2?s8l0fV^x{?{rbWL14I(egbL+Sc)<ch)e2-)y<|
zmo*ho5g}bdacTv}!|#biwV1;A*Vz$kqCA>mPs+;N{TbhBo%xbtZwl0aMhRgdS;YOO
z`Pz`*1m>L}bT^=h3X?$r)?)0^=wZhhc4z)IEHRPRbIO1Uq5|i~C!}_x3O>uIwNP3Z
zQT=i$q{IYnHppuobP`3;YX$VA-Mc_EmSA;!w+U#Lrxo3(7esxBuz33lCfGBdVlbHo
zz*3a$E$PRH#3o;uJA1PLC%e7dX-<GMK74dBPTc6_>~R~tbF4t3S3Ybifx*rH^bX$G
z#fEB%a`~5*SfR=JOI9Jt7z&v7MXmMkLU{$fAFagMp!QK}!nlbMsAMPZyQ)KrHZN{_
zEYh&S`LkAkl1>_eZbk65d#vlY*OeJ2sAGlChntiq(hR_OO2|qodI85bAGlU}u)?B?
zY_evnKJ@NYus9bxj>j_xO(Pms@V5~B^MpemG|GrWgHzr3&`_jKSOE*D@=^TKob@1u
zcWMvSJ{=F-xD-h|!~)Rw$&~s?7otA<_^{A+Vy)RMB||bS@L(#4O`c8{BIG!pN0kp^
z!rzKUH<(zU?>z4K#zO}jL=_`%#!q4?-Ivf=b{5EBiX1HXs11`0G8|(E=CSixPS4de
zSRi1XLnlr{8$63!Iuf%MvCF9+eqQ>I1!VcD4Uz>~u<uNuTYBCyRzVKhW}asO`+ZL|
zjKsAdU^8U@o{%+6z<l_L<~3HRdnNh3_O>Rx7l`GYC2e9$QVSH#y=<TwG;}paR1?ha
zI5f4r+r~P+NmVN9u*1b8ryiu-*8qpO1Ht7*G|(o(TT9)?0k=MXtnXLW0Ir)|ca)}S
zfxW6)7Nv56L;IQFC|n&X^9ziBQ0PH9bM8(oEjLiM)-zL_)L~!Rkl0!T0}vkuz8&n~
zhHFe`hcp+};EU#+;Ha)$@RH!~|LqkIaP6@keUPpO1e;_=V_hcTp3K<q_nH^vH+yVl
zjMbo#x~H+dlo{SUnJKF2<%4Zsg_vEl6tMRc4y@K^g*2_StvNmc2){<S|016PF+=)x
zNBh|z`@y9yhtq<PFT206%#8xsj}A)l<Z*zf+{t_7ej#w&-r$dyqd<y+S&QIhE=aES
z{M;BQ0`WQR=YI^VLMV2Iu<tE5oH@s*=0*|&4hbgbL#e8ebjlXFe&vBNx42mbS_ueB
zE$H*yuL{k#r#W73@dB0kvq##-ZdiJmzaT_bh2W37d0Pzl;buhSulGq(P*oiLdqhGN
zGWv~UhEfDT^rcQ+;8SUEZW<nlRZ<1F0cHcjwjk(x5S=6YW#H_@Rsn~LDokd6?u)r9
z40-Wq8+Oac!EEi<(%wQ<Xk_LIFO(C7HQm$3D}nMr9CUJT<Dh_N)kBZwUt-{0r&7Pt
zNq`l`Bktm^6yVJ1=6e220+KVN`PB@GKx<-u<M=xYNae1sUb!a;zZ~}#J$XWcv?TMi
zQmPspn)dnB*dYZkPM)<i7FPlm1<s0vpK36%b=g<ymo#*8+O(XCBSUh{lFn?JIyh^k
z7EUe5fcfa-A#79`uBM1vt@>!d<EHSa2OM&sO?@$U^xs{sw};GpJ*o*Ki~nJqO7ie-
zyjgRHNCANx+~WcMTF@<9txmKg0PDdrZm9wa9Q<m1<KaDRSTFD&mUC4AmldrZGX^yX
zWnO+VKBWVN4?D6#yor!~C1|(EKaU)#y17oY)dN~<bAvfI5=8o3Av|?dgA+uPtNBPD
zLbfJS2QWogs{Hn3Ra*_1|8@)Y8X3ZH?iG^@G)hpG+L`S$NrAAKDxKC^BY2dc-MfBA
z33#7$CV2T!;K6yB!aWoW7=Fo)*|Cse_^H=K{3%ta+M1EFv;xrUv*LHKAcM76`=Qwf
z$`Ha+u(mn@VAUUe-((*d7Wde&3nVFlf%aogj|(PXX3N(uB}s;CVOFk(>LkD`rO45f
zCUEKzdGA1t5{L}P*rh)qfSmf@gd{2z<WA7=1WG8u`5-&30(Lp5G-&z38A*ll%z)ks
zdqpVV$vAP#R~nj`j00%yQ6Zuz{<^RW30_*d^fJAafY-6f?GGPNfnZ^ke^Q?aM~Xa}
zECz+)2z9B!?gkZlQwoKMI|T4)eM0y6H2*(N$dd(6QbC3>HqE+J9y+Sr*B^RwgS`os
zA4;SGSCnI4o}C=rOnD_Q+Q0&ZUiruQ`%FOZ%647)lnm6MbE6w|^l;=;c(P}#3GB(b
zcKk<-G#Ia4sCn$Ug=HAV(IzOE!0naf4^#yy_!4w|!bf2VYo`kmF?$ElW;gi3qDTVv
z4Ycg}W;}~Y50d&jjsWcQ{X6kgLJTxSw^|Nq4`Z#WS2H(8F?f?15)xM}4Ec<zNxJzx
zSO~nB+{=%_1Dma1gQ0@Z9l>;qx4ap9a-X(7-OLzXId&ybPw+#pdVO)l-dgPOsGlr^
z8bQ37-@}1$UikiBP&uE;6U=2g*;lvR5Q>A1t_;+1gK=4cPb}R-EdE1x0@thov@M&L
z3-9NIa7oTHr1vG5(G}zGys8G!YTW*rE0PUf2FtH!Grh$4ek^La2kXP0FHx?WYs{b%
z!T(Oe<UKaf_PTtjUJojc3{R)vj4-d%{2q0+VZ|S_tzYx&0ZA`t*X|Yuc<tG%SM2!(
zD`nq0pYE#*vW{`5KMK(U%%7SkyY^xqSZFq#KI(w(jzvIe9xeRHj2kREGJvtQ`tpBQ
z(1CB4O$K>AXdv_OpLOq&VeGinz1GEly}8@bTdk*f8@qjxMZZsY9J@VgpBJ^P1*yAJ
z#^+}?vHC--t5<WTu<0<Kz3wNpV6oazJU4a&v+vN}s@0mqj-7r+KHsegUeT@M=<GW7
z(R6Fiy@h#9y|VChmW?L76@T`f=H42H$}%ncyB9G05##T-A2i^ZtF%BX&l;BZROI@H
zroY&g^oAonW*Ts*FD83`{VFzG;H0ngX&H0BZAaVuK^-ukgB1xSt5^v`WM=UADrV;R
zWazq$IxyPYe<Ibkik<9vd^uHQ1Cu=4*CyJn2FYT4Vd2tiSfH0eUboK{rsryM-S4;>
zyeLnoep0lCb^iRB#?rfk)z5}&UHMCaoa23;{Ew|;Uk=U*ko0K5?y*hU@oN-_-OfBM
zYrcV5*|=ZM&8CC9ajkViG88ZsI&|~RkxlG%`(vj=LJW{6y_M#6Nfjjj#9wRA-@=66
z9f*u8+Xc^cj|axQQGx%Q))Ionb})Jov+8(nCQ!UX$J5WG0*<AsY8A(6K-}-H=rWZB
zisJ<7ULR715kmW<*8y5MGANn(z?==v@L6ZaJSW5D`igF24>~wrCEasBkOM;K3?J7B
zlVK=Xqqskj9?X^tcVit~Fe3A?cQIB8*lH?EHM$v~?tGH|6*V3RT;20)Wk(T6Iqcj%
zR7Oy~nL_xL!3%N`)N`d*6@l^9)%593CJ=Cv?NSoshsj$zd(;FKfq!<g$}fQhrh4C~
zZXf|jQdpAjd_jVT4U2x=zHD%G;%M?{f)Ef-*)+<YB!P(zgXZ3F4ye4S;2L#N1d=Ng
z)ffmQxGc~RDe;mEvg|6o?b5}7W%KR3qIDt=;;%Rl3GhIw#xt?|y%Lc3El;mtln86h
zd5_0V^FprlByBB03WV?5($Y;4;U?d)Dvv%sD2zR=UKAn?pHkUujoC<Wc$4oKtG@u0
z+--0P9gqQBrRjs4EeTlPwbukm3xPyiMJ<<y9OO-&wpn{lf@+_ShgX+`VTts(<?gCH
zn3xWoR<=|Gr$bh!Zp@0pgZK0K{sjskHoO#A%%TLLeqH;XGE2bFxaQXfCrFT6;?15+
zM+UO!vM{@)BwT-NTRNqt1ZP~==?>~DgO2}e+L|sYP#9AlQ)5zwAxeuwVucDwQJ}e;
zPX-E^(r-EaQ~@1ci?2rd6zGc|XFca33sXr`fBg4TVEL6Y+1XSLUS$u<GQW}oiA>wK
z6J#~GCN_OvDp(!*BNCQ_MF_ClXngON1vQZ1)GJKv(tw`_P5ENN6(E1JYThPC9mp*m
zE{lh?!0^Z^?q}UZ=xA&5y(OsuL~s4v9F~8+`gE_QHsK#1%j|m612n)u<hCBxs|(iu
zeQTF-SAt0Q8pZrX4NxMsDVDw0huJ8`l%jAl@b5^zbNAGMLibgx`qzeVewF*z6<=jY
z{H{6kYhE4f%F9)gtBv6d*EgL!q6%c?d!5bFR0sE|Bu*9wfV$cHZXb(P;9So6&V8zC
zFmC?TO+niP<`VqP{YF$k^QOUO>nBw><5un5OGkyS*H%lO-74VW#87dqoeWD~wB~=5
zQ9-$Hp5<JG3Jm@6k=?mO0(ajNQ}=aD!TZRMmh>KF7!QeQ<k^&mM=i(gMl(zyqK;pi
zdxi|UDsn@7XJkP6%-iU`R#Q0Ocj>?mQUcdGwNrf~5|Cf#z)kpJ3Y8?0xi&XNU@dAH
zf9N0te-EmqA8IfKa{MsmOcxRKw<}H;+x+`q!7}2-6jNAT_<Jo{K><b{L^NL=V}i=K
z0;PRaQ+R&$T1CFMJj5wl^Idh=!k(*NY<oFC1s_B1KTq$<!o>lH8L_l!%;w7R9Gml0
zxNOA{<I*h+R$1<;R)G~*Ph1goa@7PH2UzwF3QEDTAVYTB?LoXz>hAmOizdLhZ=q(S
zO&qLiJCA*RH;*UVk_aiA0QSxNjTV_AV60TV^(uZDmmf3Ek@^qd*Y_qXVyYlS->t6j
z$XmzXkM+j>p#@-^FVZI?J{a4_vuto^3x5z?=uY6pV8USQTrGhIIwR7E`1&@^cR$I&
zl4uOqGd^>FP2hlop7s~!-tFLS`5X^>EsVfLMa;HZn*}K0v}b3hc5ud5WAij;4dJKU
z_gEF%U9dg*v>0-C@av9C(l>GqpySaU#mYunpwNg%2h;4}Vc8*L<gfaG6z~3LXTF7X
z9RKOJOJf@+^Q0%8=GO<UfKPpKMJt$E^yF0|+bz8I=dGFc!+Nk8)Bn1wcmcEWnRuq-
zxrygr-m`10NEa-YGJ@_0&R|D>?0)&;@&+E-l=;GNLkHBG6x^R>j9@HTC(33j*YRJ4
zt#xM(=zx9QD?f_C5A4Wifpa<x|GKj^cv7NL8_otl3R<XW!=z?nC(1+C@KY=*vRi`M
zFh4x+ubftjojqvvu$p%b7r?fg8zQwJS#ejoo_q}+;wzYc^xG<~o}B*CU{({>bOO!7
zKDFTtf8^Tm=2d*@kn05{H%$n7bMo)Nd^gT%&k=QWdKJInl#}c8RRccWSWUxhe&HTf
zJtwUU)^PJ?o@;G(8sODC5zCo8gnPWpZt$vI!{6~g($)W@4jt15d!^AR9?^cv>Zad1
z9${9}m}ajInG)3kqs<dIk4kpS8@mnM*GPBg-9K(#x4IWsT|14_l$3Y!du`&J9X}Xe
zx~oC%sag8@yK}hhXNMn56<fFgO|kjOISO#NL>^;6^Z1L=+a*5gJ9tHoWEdVv0hXPe
z=wZzTT;blBxqdJW!lxxZ*Yi^#o^3^6t#T0`iyC14bB-2CswbuXI;;xcv>xyIiY?)~
zKfaQd6X=k{y}<pq(o{fBtScnFe;Fq?{4`SeK#!s&&G)_TQihk4`n812RlLak{r)Do
zT}T<*Jbg(_8D3`x+&1!E$B#@gc3M1QM4#V~C7FH6FqR*EC)a%w|9$kvRHzd(TKT3p
zn_sU4&L=wlC`4@If(6$j;#67DiTh!vie;2wZdU(RkOvJa^psRz&|yb@9`C;=CMrU+
zF=3iFmli$Gql--q<V3%r?P}i^369CQ3sx@Dp_?Bri|q~MMh$jZZFb=#@GVl{03Qa#
z+meL6Yvw_Xgk##TX-N=VNY~ZAwF^Dgy277B<wHyJ$VWAu2t5~mMif>vA>1xX@pvCU
zy0L%7ZCr~8p=$?Ab+TB{Sw}(z$`wSvqS@QLMipR+aDtOi$cD;1TcUhpg%R7R*!%E*
zyh?ea!3;wjNM8T?j?f)Z^w(Ue+%i-FzBQFa)DgLn+gLm1{zDw)#g3hIa#sL@qN$#_
zi#%vXT_E#;jU+m#Dq)@fZ=Ugm*5~aEFUmZWSundIh4AJJ`b7~6fS44XYhB_;$Jt*@
zQ;y4^2*Si2{~86Tn~3|Qt}2K=Jo>YCU_utPWwut`6DGnJVb9BF7=#gzK#s+qSa}rH
zW}|W`p9pt`eHN^?MNs2=qr3G+3TRlYi2e5w5=_V4@+p-NM=KK+b6%_@)O1VFH(;+K
zw51uMUeDcV>t@$7$D|^1>|CX6hbX~&ALpYfUQ%e6wiT`P7cv@Y(bH?6AVW@p^_bmL
zX~eoF96a_;1*Mb)D+?5;K-leG=T&-HbYN$NQNWpk(m&kft~*2liB?mKQExfqZ?;&z
zK~+OMTJe%KNot_2I`iNDuky&?<c!v933Wv3J!Ymos}5D6Ck%8f70@T&u_Ufv>d3iF
z@s!s^O-Nq56(dniL~D;;Tf~NGAl|52Q#UPb;H|f6mzGdO1mdT3wowg~FgB8PT~HTT
zwrmCH&M6@~wy1Nt0-9*-J;P%|A${;}urEGRKt_0=u!t?KCen@LOLZn2g50f+KSIxx
zQ5g4@p?{tRB66SijkPp}YNf;s)<hN5FwuOVXHFeCwKy{kDFN`9X776`uZm`~e!}>S
z8lv65(PtoU0u}Feu^WV`qT9S7(;9gcq!;EfbeWL~Kc9`6^G2$oBS9B}xD`~8cbZR-
z*~fqV$Q?N|prMM~ZzL@{l_(<KA(2~s?xygHt@V0$rV1)KFU!63mw>!^Iwu6$O<{=Z
zz3019WmNZ$-dda}i<HBJ?XPm1fh-JJwnUQAm9WHhp`P97uKtDTXo49iM9#%D@GGGV
z@qPhYB!rT~E_gTco5A`Cx2zLkBs7_E;QVfk2i2#HIimqn=!%#TwR)w1#%eE>>dr8t
zWzN{AjsN&tvrWhm8IeaqkMvqB`_^y`U$v%CB~ut>5{Yf2lS3&Mi$X5yL-<e9;5qi{
ze|xRQ$O%fzpxviK{`%W?VlgQ(3Ol+~sKsnu*{!6I7&^6`**=F^Fn(I^d0_&J3L}lY
z+u~?*|J#_Jsuj%o@bg3oH4_Lv9NA%)DS`}Ky)!@l*uw6Jo$~j33c#Kf_qYDIASzbz
z-)}5J3sqM`S^nu0?4N%z81BP|Dp1^anrn2hr8vBI{ul<Izr=myF6KtDmtE2dPtXHh
z4+9hJS!4K5sgPUSf*rj#6ISZ^L=Swid!kBWjlj30-$$#02|fH^_gHh39&BAMWvmw)
zLbi~~&$=Xf^yofWJ`vHwsC7zj{ucvCD$EaXFWAAGpOq8zF3>}CW#ga<ivegwJYBrG
zvWoxGHhWdcM-Lw_&0gWP(1*EnajF>2BHlr)f5-cX4lGW^%hx67flnpZ^uwdm_)=qL
zLl#B{mY%Ox?{@0~Hu`y~Z)gzbh_VUL?x%$Z?gc}-q<{R~eQx&Ua3_ArFn;LIbz0!P
z@ySgfS_eKW@6V#-l;WG6$3pkp(?VHB(D_dT+EAs;QOsud4)cnTtA9bF1%s(<XLfUK
zQ2hAX=HiF1m~Q{Jd$Kq!=)SSfzgnsVue_M}Y}^Jg;)eL1$BML2G;6%NDy{{+v9|fy
z?xWcKMX@fogS3#5*x0U>q6w7JLvI$gCb7uhdW+S$|GHUU8+e#CVPvq|-^ykVBc`^n
zrZCU}WipWF^i>U5ecV$Pp!x^<w6W>&B7qL@R{gt#T^g`4bvC6zb`iVt<*45Vg&tIj
zITkb%)WPicOo<)a5@wC+U)iqG!;7z9KVRch2cEZ!p(V4+Sg5g_=bJ$W_*UbzE_GiG
z^hg0S%N?s&NB4n<)VW>I9^`GhrLG1|nTg5+Z`QFrVizqfq?kb2CU}F`M1h_OkDP{A
zo0!?bUhBJ|%uqNvf4%BB1>{xZmK$2OF-gv!D1VIwnr|k1yrrXn(ROvo)I}Qbbu_wC
zT)+mZx~qTsY*b;TC}rI{pB4ma=3N~lIiN|puW}$)1-#UP?wkLlgJ_S4&#BkAU?@#A
znrTfLo_js`7(iwKV~b0Rox|MV`myZ5>@j8NdLrC5nZ65NtxgXn?&gJMpB+E@&tzD+
z=(YVqj0r4MM8$i9`M_DHWm;$-84?O_FRmbFuxo4hfadr?J|}>B`1?QqHX%Ap#IwSv
zqL_+Hydcb!VTmUKm7s^{68|lj9f}+RHtNlVf#Z{PYrTXL{4_r%pq9)DES#>^k|a_1
zE@&@m-Kz*E?boffPjQ3n@|C~<O>ywlj1HH0q6op=E2rZg@Bo7?#XR}cZV;h83iUS?
z0b<{TwXE>MuV%BA<r7k%%a{`=bxRTGw4$!P@a6}>(<$L*Po#l6+a)ITnIg!<6SaQ*
z6##vw0?{@mS=jr<%xL_NBAnmY8Ys^b0+YPw*T~^=V0Qej%{eC}kQ$S=+3zO;{{sL3
z|NjhEcQ}=A7|tepW@jJsIOo{&yR8<LQ4|VAlvK2%P%=s-l~goDR3hqED*8S$Bb6jV
zN>oJlUO#_6@AX{o^*s0WzW0dTa^ju~n+EodaBZ6C(m`YAlcTYl<PezLxz_Op4e?pM
z=U!y!qW;kx!KeTQC>?s~FX*6!YawZZE?4v*;8StrRq}H9)4p8MpVr2)h4SR{WppUM
zND1;AP{RHLOz!(nb#d;i{tZQG28`Jzd5);6Aia*G`221<t~%^H*geERjg*w{<?X8Y
zbWiNlKYj-4sOtDXgG}@$n{w3Us=+*BV;KE216o}Hn@Xe%@NqWep7D%2;&W`A8_zJ2
zzVSC__jW^AXFS``xSEDq%}PeG8VjCUJ9xH#F@nOU&HJK~H8I@i@=xYE3(1Gi);RAm
z0pIh8n8|lq7<cU0Jp6-&V?PgHiBL7eBe}C0^CQ|gu;0wLe1rvF9=<}_fH{7<@y}kH
z(Sh4zGb68R7KB|x>!&L%Q9gaM>tw4gOsw_YpLw#-c4VPq#Z7B?d}1nQpV7m}<_E8S
z=P*%U@>9^+065^4wXc2&9RV(_iR4oTnw{xRyLfF-pzgHB!Gw;9fR@81y!z;ryd)@I
zWdq0A>zd(ObnrUT`HtG?!l7(e<cA<znEriN74caQBGDFGwDh$g=efh`;U8P<9nh>X
zveZMRy!CCD0d=e%JmYxB&JI#7=ZZu8bg^<shu!^-3aIj|g_a|BkTj!DMmp-i!?JIS
zb)_Qo@7~yUDZvg3u?ayf?Aj2x+gr0aT^jEk63Ra;_79Zq33R@w34`xJyFUzy;ilpH
z?cdhep~c{F<{ma0M9Oa@1ij#gk<XdpH=K4b{94-eW{W!VqIb%5e`kla6YELwLtFSz
zcX{0&t0LO>)3aV`oUn;b)2p?&1^bDw@v7`9xTu#dx9>$4QQP48XJ?}g{3F#jPkSms
zsnA7M=j%0sRKQBVt&6z5QXJoNQUOJ?DQRmDwUdYcY7sBG0bvuO|L%TSbU!KduL$cU
zjl2AxP`iOkLYvwela`@F?pmDJ!6EYF+4u<iUIHV&%T-&xNg(}8@t1v@MoF1XViWTV
z)`&?eJsj#Q2E||fN!DuP<O>U{9dh#4;GavHye%byZ9=u5{KY58G0U}jeuNcPHCh?)
zu?wKCFow~#X@cxo*?V1OmnGC6k6Ep<<b~*|ru$>dC&&{fF>c$^Eb#k5SkL}1oX{~|
zUQ(4fPOfdRFdF=9j=LciXMVh6L%rM}tEG61q&O;aPDq*KMfamYPu4u4R#D;or)rcu
zvMcv~!4@;Ton+X`2TT#o2h>uEs1Z{1O+}mLLsMwyU6j+&7$f4tEghQw8z$BKjsBgU
zH^CF(YsOW9Lj+ga-LoErLu7D<DfW4ofUAA#iLO~6A<bIa9{hTc+`RVX>y-bD@hs0#
zvvBV(qJDS9#d&goG<wo_^s%%t(w?n4FX#1x&^4<m^f3NMX7dJ|h=?-6WKgB9)Y}%K
zNxb~-s_s5=|Lzf#_8B5&>Q}|{p^wDCnLruo4}Zz90-Z+3Eru9P*<N>1sFFB&YT$k3
zWG|VaJTE-((E#Ji54QN-c|v%*aRsUQ^pYkoIjNIt3>M$7QYz<~X!4$IG1~-3FM0S|
zX?JHO3jqfv3r;`zk6e|@wKV2e583N|S7KlV3vc>jElwA_A;m;Xyja}5q>xlpPr_R!
zq?ASa@72_jJx$Ul4sPouJNLa$OLbvF;-a(F<E)RQx0&gIvFTp2!~4=B_BIBRzJ>{o
z>wPAZSAQY$-v1>bzb~U;Cj;&^4Kt_DH<R%b5Bhn3^pUi-wqoTmePl+iRH$rfB{To-
zDjCrKN7f7b3&|<yLxcA5bB9C+DY$>v%WowE<RiPfF<nPGRGSBq=Cps1@cK4%q;ind
zeYN$zX`~(|4>7h`eCi~1EBbpT-w%;Xv&H9CUg)AncILTILKj)c7ym_nZkRl~SvRL~
zQU?;pmWb-Q{vuo0y-vV+lzf&um}+jVgFZ5Co^JSu{BkU6^1s?KlCw%NVnu>B6h{v(
zDKP9MEh}VJp9z~F>7$dI23oY>m3cPWXLBF<qeLiHZ`Bm(o#XD!VrU`gFsUP&v$)T~
z<g;_mGo<-iszE$a6Q7ouZV$OMNT!_n7`{AdjwE^ydEM@(p{q-<NA%wiDRZiZ8sS<(
zeQ62w`L}_F%`D!yErBECTkZ8*%lz4>#Gg?u%gZ$26Z$oFjD3uxKRcG4{+pdTwXYz`
z-$(;RyLBR}%E!s#WnV@YE^<<yQ~H6kdFq&u>?g$wCdq(ZsgFtnxv8U1{WL7})$x;O
zKgW@}X>zl!Vy|KdFQt^v_vGv|HGKbW-#aBYM;@>ZOe?;(l*&z0oj%~82FAJaIMJ*H
z(rlEf$dwVKe(&rFzSX9Rk1spRT8!DK_AXJe&{|>Yq+ao@)(BO+QN7}%_nMtbQa^We
z&R3Kge0mYuG*x(5#B}iN=A?ezbYyR26Q|OBwjHc!Q^DVG*qYjNQ?m;?iD|VG)RnnM
z(>k|Quu-5|vt<o0wd_a6_wS`rlm?N%oW4&52bY9pJI5@gELI7XulOTPCH>j+Vb(<j
zn~I~NoyG(xLS^%Xa9cUb<W+d7`AQY6Q=1ignITMBzn=@0YE+<Jt3JsUc2j}8$QPNm
zRg3dI@Ha7WR-%kv^E+D|RRLdz=5gw$7=@W{1mm+Z<(`utVf0!BFs<2=nJGbeg(QDk
za!i%dQK}lyU);<1TF6PB^HLO%dQ4KDP^StCHJhwns>0^?krsM}H02%Y8YQPjqn_Ku
z=6Re@!=9qr*2zv;YRjtTy}>js>Z66!L*H<9crE)Jl<A^Ced^Za>UPkff*E)&{Za!p
z>KsjR|CUqb|A{=<cubF4)wE({#7+~}T)iy3yp<`he<LXq#rhOq`n+hJiZ)^{t`~dT
zq(Zfb-uWKN#-zN5zRPX()y0;wzw34V)hMs9Gy5tPS=3=~>4I1;eSEY0s#(57gQAXY
z_NVI^P?`Iq-=qpKp?E+r$2glt9amc|>!fT*X)1hmig?dLh1oe>7iTSsQ~uY*)_z0k
zKQBHz@~t7RrO=bRhPA2et1&997$Zt?ujwhbX=4m}6^m7#(xsZ5qc_k#8&NsaZyrr-
zG=tU4w4FTTdQ_#n_olrKMpS`Kyhr8-3y6%4Mjf=!r^0s#{dV7HME#k7{-I6QaJep%
zQmDe9$~|xOKgu?wlB*Jt9SlV1vMPU`WKcmFhr-VsHlWtJT7Ff(ZUghTi8;na3~H66
zN$R0rOzPA>aSiT8o%O<_Pa3Zol(u`DLk2s8`jYgsswmkGZvtcIoRS%oW?jA{RjNZt
z?j4Y4tg=U8!p7rI4H=Yu^&06pLmK7WS`{@?VUPLC@m!7T^(m)&{bp5{Rj9-$_S}0*
z9Z)`&_58#SJ?h?-7(XFRd8)m8XJ?PJ1ExpH-rUmBr8ry1|Ezl@PSse85Siol=-Es=
z_|i(7Dh^70YURL7wbyq?^*^*nrg^NGt)?b5sU!S)sn|GaxbI+XtBpOPRM!f6&8SmR
z;<qi&UAsW^X*6qxmD+(b-+QdRLY30k=q2HHbeK>(5~0(?vV)18O=Rw6WvVefM#my-
z304VR=xR>0MV{F%<NPi~YA8sg^w$^{M2ZBr)pFY6a%SlgiF#S;$XECFO0K2&%>Ipe
zc8?A0X&u39hNP%N_lEng{Sbf;?^TO}HsHL|){}D^#VMZ|tx=guA^g_=vhdy+sFYNT
z^;#lA1(p5YZ`mu1;O|r01FsU8t^Zqh;3prYu-CbI#99P*J9fyJ-mpg0ROsqpS57Lq
zdq-&F1`(8fx@FXyYX$xY?$1L>^W+21^TDwzMX=DriJP^Sklh!#K|f-Q{9A{Q_tZpi
zlU;lM-na!q6GZ-|<@AypwACwU|AaB{jpy{Vt_2Es|1=$yXeQ?yxYM4V7e-VcEHXpP
zaU{QK>dJ@P#K)A`1yfUD<Xx3FDSd8+)jiEFwHI0liv)X)j!_|yG@0hOrDg~_W-{#V
z{F~T1{W8I$P6!EU(j998Oks6-tH=JpL863Rt7Ln*5Ga=Dv!hieP}y<QLHxf_!pOx$
zY}F4T*t3)rZZS--;d+b-^X??k)oZy<M`ID6J+-1fw~g`BbB{}j?JUt+9H`@eMHnCL
zS4SL>GRCschb8yiT_Cczvjn}RMR0Hn+jL&C5nOp%>VNKJ!|o=x{K^Os2xWFp3`!Vb
z!}QhlR|eT(NIzqiFe!rL=}pG;bVI0p&2StI=0q7sl@>iw6fe2+%XjG*B3LN)^rIhK
zxV3I1!rD{}!5cM$Uy=q$QP?6i@6Lle7m5>B&xyg*;Y1QV4WPs!S4Do{MfK3~=AKq@
zJX=0@k}<==@6*qI9&lR<se`pfRgDrDqPx=SGgvrrbeWjjPky-kj?zr|BMCA%Ysp?0
z7GgwKR5-;5q9P`{R6=?g`29}Dhx4%DFEQCCZ7z(FjU7dt{?ZVg?ti<lf{Avkqc-v}
zBG?`9JVoW53|P_kO*+pqp*LM!GkZi7Upj@-Wj4scUw8kNa4#m9hVu_Bj*FrAfEn9?
zDS2G+5S?W=V&WN%bB|-PIFt|FACE0jg!1>O$DT4wY&&_qC-Q{^zU>U0({)yYNJjqS
zlYC4ZGQaH0J1U8u+<>5RXJzC^+<S11n~7CnvjV?um*LM(!zN*06>uAfa<z*xart3J
zdG|eOa5i|SnI2b#rDA7Hwk{KLT8@EnO0o#G=&>5Pr-p77!}*X+Ot808jbr(8P)$FZ
z?BBYm-_GZKUZgPb>zm_>z6}b{%o}Uql%}Ekxbhl>9wy$$-j%s2v>a7`9@Ix~)<j5G
z+eYn0JO^2vM(;wDFjw@#E#rn3?2oi4dVOF4TW)7Gc`GBP@BSOT7HzO@P#!aZ21xSL
z8R~FVL9yxY?pA(Xe1F`&i&w@F*JBD6+SaNftf588RaXxy*ZaTW?=pld$EyDf9M!P0
zH%-fsMaTW0k6sK^8^OkZcSGSybx7>%O<O0S4|``9_m7pvNZ4twe}T|IvtLr+k7|9G
zC$METw3@(w@;lEiIt>aQ+oriy8F(Q6-^4Jd83wy#|7{c2#MOy^g@!f^i1V!*8?iD+
zeSh`|lXgwms>hZ$nKO{+EK75Xw!rD#ef^=yTF~zNr~F!gfpeYdem>QfxK3B?$kNir
z)->O0<z4!a60Gpu%WsVYd4cAlbZroM86y^fbf~0Aaaq_BkXTjY#O&3^mDu14Z3#VS
zW$ihuwFsO4#`hYh`E~HMLZppxL<euZ!_%6c0wO}!H~TDTBirqtpy5p|6l;H7eqG%L
zO1pdb8_Tuvus!yc{AC(G2+0X#McaTUEMP-~w>DICa-BMNsw2GrW`e|Go}JmYbH~AI
zEm%C@vkzdXVkqm`DgH4VoSAKYXDgtEAG<pp%_o&`ZJEAFA-^qt>3f-7)zw6D5C@@l
zM**pvk>&~lw&>W<6SY*I2JO<l$6qAM!28&(&B~KDI8@C#Tp^=@e_!djN2(-ot9b{%
ze1i>QyK;hbN7T@uK2w$IBZkO#X>CPmHrVdzB$HICil_D`<r`iKAypzl_LZj%ils7^
z{ynqkgSOo1`y9uI=M3kL4?;F5cZl7dw?P@76P5XPt8&5UoR~t`E8t%2=Hs_imB6SQ
zt(!c>2JKsS=4!VA>*DW)oS9I75SQdnbK^N8J<-zkIX4jbK((%dl0%E8^MFGBB=K>*
z_p3cF1hlgzShLwO@VtM^*KX|?VLQkkvT(^7TV6?SZGOBAcPqb4&G!xyLdHYRQ%zPl
zKVLLm(=G|^dvW!W{zJqK`>~6~a#r|}V!eaGkU*kp*1}-QAhAtR^WTc?mW%vJD97c9
z!Qq$&=^ijh99(}aa#fxM_J6dnytqOX5qzhfmOmXNw*T#rFrG8VpRkthXg(2auKe;X
zX3r3j*3gl)$=Mvo9$?1iyC817Q}R!a943mA&o#GXn_>9!Z>y#ue!Lu&iSub5A?~XP
ze}2bdhFSFic2E1IP??b%O4vO{wC=SoH}^M1a#?$hVIwbQbLU25SrbHWb?r9A8WZgD
z;QUCX^I-dtth4J>rwFFQPvJ0@38udu*4~xQjWuy$@qFepgvdjYr+SMza{BRDR{47_
zl&x=gU$K9VDDwAuzgo-~NsbacH<?^e{o5zUdcQz8#p(=D@kU5<`dhq|;)F9je3qfX
zhDRC8$s`UVc<fpJb<Yt_EaMqxUweohJE-k#FHaicoWiC4Q=2#;qO(Ovtc3$Rjnfkx
zxDD}EYpcKaR!(&9OZAa-=7Lv;xTocL1N7S$a|Xn7A~51n#M*XlyuQrnek^N%tgjwZ
z{+~JFxGVe@*C}4y<Jo!P)k7AJ4_Lg5u;+r?Ut#gjc1yAR<ZxJo4GVd8a~W!%xgd4s
zwc2GB0Ti3n?vrn0B0J8mT`P_o-_^zHJye9S;`F)D`fw(4)6RP3dh(#tZ$p=%stBU5
zzHj@W#6->A053UbUPS*T<&;;8!boY|+P$?5Se}!gWd`vf^LBs&6(fcxwQ+Hr5e&4f
zk#HWlyA*Lx4}=bW5y!31;m>DT3=HOFe#+t$K<!(d>TC9rsE9Ti%Kx$GtH(72>dy+|
zW&BaMtU4(?D+qV?+^vrl5l^OR7Q&DYKASZXDh=b3)pMJ9^np_0W9!d|VAG*NxAn%d
z$O|d2TJw|++4cVSmCuRdtnZ~LFFAQg=KOBvJ4i>3gwsRCY%y?jzF%`(MG^T?lFy45
z^D>R|AZu%jINEldi}TS?LOo5g?~6GdQj@%`gKCn<d|jaCzE&BNZg=w49O!svJ^ZNQ
zj1=0OQV)y8s-XNh@w_~Qj+5KHO~3L>gT2Q$P5i@Rp7B05$tt2F{i=TI-5eP-XmDO$
zsjZIQ756I$O?}+3>iT)ePY&!IcYkyzYhc*Z#hklLA4H|b9xY=9>{a+3=fI;0L!Y;1
zefA6-9xb^!rM?{enu(?Pr?eK&bsB`r7@$11kcC&3u-<sz0+T}rjR}{6QaqXPa98x4
z&sN5&!sn~@N9y9lr!@)TA}p*eN~l^^rUK0{is#ax9tiu3q1(Dyn7tS{cmAg;_7~p`
zm07Eg_$<XTpRWe6)NgS!;#0@alwTX00|S!}^W<L)7{Yoxx1oT(2CT*9D#G6}(A~q9
znyzMycr&-hmd-TDRPbKdV8+A|pXmIyLnc^lnX^|uP!l)!&$3=eGhy>c<alPMDU^(7
z4%mlifo<g27v^my{Lmogw#^*1#alB<ytHxFK2%`(JQH=~3>Eax0$f`v6&!SQz%Qv8
z^lmj1vgx(eImfL~`6i+{yHN*A2DHZl>lxU+Khimji@^4EMX3xIU5t#Ya|tLg;Fajy
zqh$p=nYKt<enS_o(N4S>p>)jObkYy{12}5*FqY@(f@f+8v2ndF4rE@NQi`;}Ru}t}
zdvUs0v0=N9S(g@+-Q$?;vo`qiuR_#{ri-=lCGpk{G-Rr>iTZA}#p$^HdCBK>ptI}F
z`NRY@)F<84>$+o$aIUi|yGpg;f2SzuTD3Bsso7F`Rkm<GAQ|Cap@rzisHr;)MR>Cv
zTpIe`7O8uF)@;0^34<fAekd=K!BU|Q^Wr78crCyAfcq92Os9jq*KCu3q(F+zrc1W)
z+~|1b8Jh;U*7)DJuOWiS=4Gw38*L$U<Kfub6g9Zc*8P0n!3(!0k)&>3TO4MVDIHZ)
z#SgQSOG8hwgI{Fz_mBBDICtR@qo+U_+?U>qs0U0Fm4+cDn(J)v;M2fkR|h2+#fcZ*
zcr`@OBUH||`~n0%{%2WUrGPX2CT>;5-9$!72f021@P4Yr6R0YO$vC}tAA*{QCn|H*
z2SkAKtE|f}?@A-{J)20zg;&Ie>o-~tttP<Tw=_;*trW^%WoPbm&nK;iQyP2^Si{fc
zWjm*e1l&W`WJX`BAP+r!P0HN0!U+?XTivQ+u-R0WcVW1Wtju{xCN)`NN%C{uT2~Py
zjUT@vt^S^reL5rRDr||0(y)&WUV=#bOIxS5`W^YlOvyiEtp#2MjJ${qT#5~QrL5f@
ztH}?qu2x^ZXb$zs85EWCAgritN!9>G5=!d1a;;_<%Wu*u-NOaL_}N0=4f$kM>9W0&
z+GZ$gIBa&=mjjn~%=4%*E)%z`R|jo8VG1q3?1Zt)Y;gI{_tbxpuZY&%4#@{!OkgFr
zQYM>w3B0=5L<i2-5JzSObblC`K$ZT;P|9zPX!oo;s?*UxY%Qcqy-hX7yBnE2;c_#?
zuh0GOwIo}JnE17RCQFPl($87sWH3c!bZ;`s-P%E@((;2Bf{ifzcBP8I?FpiD*+X@o
z)=pwgPeJ-@t0At@cB)Ko9w&B`+-|-s^ozK5Q*eu*vms8%DsEivIYwM~QE<C@O%D;|
zk=G_(ZGaJl)y#F*M+wx49re1@N7%e#d>^wjz!#^TlS-1K#OsNxwIh84g#6Os=(IO1
zBncjTHCi!3O#PJ^yOTFW{0!mY8ePGHHJN(2GiQWo(C$6B_uvTekp8^r?>i<&Ro==y
ze>p<X&Tkt|TsKBMF{1_#F8cfg(GvN;lOsgx&#8tPs|jM(?yyAsF9ymTXO>;}8zrn+
ztOB7`Q-s}Fvr5?`421i!|2Z}?O3cPl0fC`21V{K&HElr#ob*ydn;(r4qpf!sldtCp
z3ma<vZbyA&KQY~MHffxw@S;8AkXwSBE-%yAQ*=;=-nEb3m>`NWK4r=7VS|t5nG;XT
z^x&~^Hf8$5B$1<DdZo0L9h+aT<C5gl!;0&XIULMsVu`CLJ3WvStvez|8r*fEQt8?}
zUNS=@`CTck7w1N_%BoS#TpiRTn7lPRHb-3f<DBK(&4U*sVSU^AbkM+NPb&yoAZU-P
z+A})%aL@Xa$*(=yICgnQg>U5&ust%Wp5_)nfSK!Qo%Tf^T|OD1ImU*Wa@|KwK0=Fr
z%{cho1}%I}KkC?J%K@@Vc6a1q5l~l_eTZ+;#D^6_;{1i2I5{7zT-GLvgaGZ8_S-e_
z@?`jacL#1f&7t>f*(Qz)9lIiz&C*b>BXOW?fd}Uv^o7XsOJdS}_@`UOBJYGcNhEgh
zVXkoPoyHa^G%#vn&wJ3Y&QY76KEV&wpa*ebAEn_xGvohIfrfvXejHvFLa;JX3i>!I
zi`V_R3q9i+un@J^I_4>Ys;hy|a#twemhx_mk!}sFPw<<Vdm@TKMT7kCn&r4SFL(2I
zzXr~7m-0hb97pbT+`2<3LtkPW_g*m?8nbJ65ET+|{Z?3<`&0$4C)vj<7Uxm13f|oj
zB?Ze%^|k!=YRK&ld{R?JL$1}Dj(5J&FcLLtu;^FE&N>yXg-x2kbX}+K4q4nE8oT{2
zkA{-&bwwAIv=DsEBQ`i$9$7k{^%P>Y@Z_A3yMvN8;z!mV=jm2NLP%NI+#Vg+HJ;>l
z_tC)zd3wVAJSFrkEbR2!u7@zQfH13WUG(Zl+`c%gj9-@@erWg9$4J)9X7?9#)OY-O
zw9!))#We>%J7h7iq_DVFJCp(b1J5UfD%2p*;TdC}%!Jdv0G^scCI+~ie%v$FKym>4
zkA+|s5{8fD3#b~PZS3PvZaxhizFu#$H5cpSNmOmAA=V`FD445iA*1UMmurauk_R-5
zlM{`x-}8gQ-!t0S(UaJCTG0?eTW$UcF7nmWU!Co<Z90ges}&2|7$T>mX!iO!bKF>(
z!@44*hvz42pGeCYLTQ*X6wkNBi(u<)YY93+-x;;<%rbz%4yGa3Cu^9}Zg5}iq~lV=
z{P5#87OsRRu718B*!GpvN@K4+SV8J*;>#BQzgfte$lW%OEnix)vOpi|a?5%bwlH8N
z|6De3jV-cuWtZ^W)d%lK?eXqIdN|N4dP<SY4ynsB@@sAM;m+fAPVb8rG|q)jZB4O5
zk$0-uv-5OV-&A0K&7lG2ZJWZxX*<-pHd$OhuLnO3q|B+QKx$@##|*<BmcKT5q^#D3
zL!$Z6wNiN~ncfenwy+1~RT}8^RvYEDSM+z~N#euUR%g%U_PF3N6K1QR1z(=Mwi3}o
zkP^A&ko9Bnevf@=8`skiAvw~krpJM!4;-)hB-mkN^pW=6A?m2y_-1eR)G%>a>(|68
z1v^xRY@-gIQiW!~==9d9N+Pt_YcTDuEk0WCTpPNfjB~Nf*?ikBQk@nT@Iu)Z8)E2!
z?vcxJ=4$POIp<OGbiu6J_zfFyOO!U5{FOtp;C%sJzFG2Sdy4d3NgM1)H<%qdEsejz
z!uqa_OQ@iVQWK?%K<-Ty%RF~UJetypEv{szltxnxITm#}^lFI<=_dx};P3hX9!{!!
z<8#$h8U)HwP^IfC4AuAF_HHZTr2Yp00RR6CmuEQEe-y^;ogRDd?Xf+!{Ek&JD^x~A
z|D=-2h-i?}5F*l)5{U{)r1G3llr1x|rAYS5`g?V*>wBFS-*cUF?$5cIG<|vtbxq)D
zePH})7dAM2RDJ&wHb&IWQ8F0bwGE!%2xoC`XM`JiBGf5%MhxY+PF@Kzh8rcVc9oU1
zkV^F}B6l&M5WoAo<i|!ZV*1giTW6JEbZGh562pM=uLOIgx(wmBq|jsCoO$94yZc<6
z6a%__u1_Wj8iM||u8y{QlSIo&&gGI)dQ24;bN}pN0D^o0v1#NH;`?D<SaYJsfSx?A
zqUZX+q>!pyQ`SK!GRqZyUZca()TNh>wE7VJ&nWWS`S-*;<x_D{DIGTMQa?d)*MpRW
z?>DagDW^s}<1=2qN{1!7w`8W@>%zUr$qP$dZPe(8E=OMn(P6h?=@W{KF3dGEiAg8+
zQ{TF{5*p!j$XY~7D@o9Sl9AE}S!_S4vXO-a5)bK+tE@we*r33BqWYZ%?>KdQF+8V!
zfDT_Ze!hG!hyu@EH;hMDOj0=lzK2*?&}037oU%{<YQvauZK)043{|H^ZuLYpJxX>f
zI#{02295p74BhH;RL_v$JXJpiysbY;^_tRxR{48jodyfk$}FXXU~NXUBXtN&g=j(T
zHFb$-qa~`R#tX)M;!M~~KK^E$UJGi3m}KIO|4}2Oj*5`fm~l3gv2kCDCS-YP8Y)?=
zQV*RJndJMA1s{1&Q3)kYxZK-+hU~IVjUHovD_X&d*Lo*%ODZ(r!kd$_TTE$Cs{7_E
zF>7}0Y4YCn<Ddr2W~VAY_NK*BgMYkk>l}Euu2sE@UIRkvDYHjY=<vCNijnsKC(=~D
z8KUk}2akQd2Tpa-qnxP!PsVT(F4Iq%`o2<w;xL(2Duofv6DB*}KjcDVqqLK|1l2&v
zL3ZBv854GOwaZ`a=f<I>vjS$<RAG1~I6Kym1=%ZO%!~<MjQ(AqqsgiYar=*aG9PC}
zZgNQh^#dOYiwMV<-BN*jOi~3s<?KjadP?E&5J2^xU6n0bDsZrtHs)dJ793hnix86*
z!kf+GUoP~MVM@d=<ahU0+*Nlpa)4a~m-EKmR34E*z^vAV#LtBdIxi%p#l-M-#hGh7
zA!G=>b8^LLFE`E=XvzBSlR)LhmsU0Zk>Q4;y02dW56U;}X&U<>i8eA7FU?Po;m3XY
zCx7Jl@buL_g>X4(oF_fy`E!#D@pl`_tV;RuarR9Xvr95q-=tK1w}%YRz1|kS_Z7s;
z7fR?7XJzq5czVeL8x=Ua$D69HFN`HC2X8Hf$fL4@;_Fu<D$qY_JFTD~in1f>I!ap<
z@%C<R>*ah^p!rg9HB3hw?>#&4J}X}d6>NnscI2yp<y*3ww5B9Vs@xAtbS0y5QVmW0
zm^!4pHTX3-OJNRq`ORTwRb1+JUKc3RfQ6E8b-I_OF{asFtNw)=7AhxQI&xDJw(!km
zGgZo9!9~+MMN%3FCUG`~x3xenV~acwlN>(pPrNwzLj&#B)jwrbXoIXh1nJny<HwIg
zmwB`%UN5fJPvO>qrm|p5gBuEHckpUoFNYRxuKzi&SY6nYeYd)!RuQ*7Ok&z`QVU~E
zdrQv>>%(}>rP%64CG5CWr7o7Kg=xFbxv+jQ02Q6L$)oIKES8_wd6%Ju3G<p^%~y>e
za_#EXYa3+D`Kj-=;iZKSECxU7?AZpvjG5_!UsP}p=Q~#EAx(7UR!d3cBOq2eFZP<Z
zDqj0WECtJGqSe}y%vEoI5B}oSk`=0`x>EG(kDLY$(+VDlRW=0|Z))rCpekxk4W0|%
zjJkInXR^PWLi(-*Pt%X8$RglkL6#t6$u@=1$0y97J^SgXn!73{2SLG85k(9>V@=-K
zX9hId6@nhcDtLB9^m)siESlUEkK3(k4ttvKj!89>(JG*92XBoOjvn7W9lXyR$}%QZ
zMc*i6%6%cz3@<SZkU!bE$I~3rzx5cs^;5#&ltlWh>jF44IVVoCG6$X4`iBzM6)==_
zQE-aFjaz=j(fsB!huyh<X$phoarB2xR?09N)<wvVKdU!`mWw>}!acHRVUblZ@Q4lr
zJ?*OWgUnz@u!pg%kqq`pJoeMKU8Mf>-uq04(+s96KU=EalfuVEtbe0!jZ&L$H61B?
zXbN>cCVsB;lDLcRIUD&_6;(y^pMt)MDU9zr-my9(iY_e|eGmGy5ajTI9sX|s1jSvy
zXfp_7&p~lN*MCDqegK1aAOKWUZPfRI0EXkL_WrlyMEd>PZOLf_+`BVlXZ3;?3-v=k
z$c9Z3%<&icCtjI=!Ph$@4K~~;#^SVbhI@v%??Pi?*18RDI4ou9i;<AM@ZOg3?is={
zb>_p4Rb!}H$v(hh#(}skY$cO%mRN6n_uQ6j45?kP;*-aM>8xSTa!O{1UE?>;?(;GN
z{-H4k(Evs?_;g9YmS=`IKtJdW>4va)WJclj4LZDZJfyBxdz!FM&$v=GU;w=W9<F?}
zG?@36#Ko*WMfewo9=b_3fSE^(_wS!wp_-{29y_D*m-xP>+OaQOA0A#>Eq@%gNOd3`
zXbhSdC+O%~=07y)!8@+iquZBescR+@<x<7JiLWf09%smUkZ9nh`EO*3`mErukx}v}
z(SDJ0S}#r)UYfccO+ERCT9WG8sgyWEBpqw;!$}<o(=O0luNtMUIo{(Rel<iSx$Sgm
z-LC_OGB5wxUou2}`d*1KpLURl`&yY`@|gmqse)V=wEL;fnmKo<=lco9aM8F%Jqpa<
z9H;&3@SQrd%j#N$LocDibL@@#3vDQ+(P{b3+D088aEv*(-c2Y|J@TmX+7R02x#L1;
z6IJ={G7SUMcfvFPTR^10swJT<Qw#Vwi&p&^zEHztTN3lUJBg}@_V5d`T2OycS+H5M
zf~u5Uxe`X|AU-(_Fh0o9ga!Y-$106VsaMtRZM9%;CzQk7oA@*|fz|r;_jS)aYGK!9
z=@I)jV(asV290GJ(8E-zpLjlrTA+EzD!ikW$g=&xUudNPHQ!&2_W30e_4{v~zx=3`
z_`1@tYE`5T64&LBqbZy4Xspa)&21(ArWYG2bgRL>^X08-Mz4s{LfML&e_M&kcm~Qh
z7BvXHsVx{DUrHntc6;tS(MANu8&1d?t3qLc>3~pVIZ^SEX;e+FoiLi>U|k4O0o~#D
zRA=D|LU8DS;uF3O0%C-6rHaTfx%<qXiGeC&AE|oByh$fP|6S`)^nx;Yq~*jfWL6WS
z{KqE*A9oSwW;aw<O_YH*=?kNj-&Z1$*FU@hx(Q=%5ntcyN>FASxZ|*8J#n4QYsg3J
z2jSOi*8Z$l5wuS|Lou-?;+}5BT{ELTLUK6j#bX^sa2z_LeI&P;_-U+vU8Av|xc@Kv
zv2KzA+%RQ1p6c+8kQNLS{w6m_D1`ab*i6eqd_hU*8?H7&jjrm4-;*K2VmkTLXJ>g(
ze!^KWKi^KAeg65atNjSEjkB^gxm*q$UU$AMpzR{wO3F=#DU1?gRLA8zWH}I@Iw5u4
zu$vHBmZaCC{3aeVS6%#aUl!ck`BSfC{~$tXdSw&OjuYBPs+736Wg&vFZ)KP7Cob$?
z4pvy3Ao_j_y+0Hu1JWEH=LGKz5Z5B)ujF}85kYYgCrVgkfHpUxO;=-x5KlgG_5Pn}
z!cQ_MjOm&**nirY6gN3c7+&xi^30eeF1DxiIBb;$z7J|_S=~R0Q#)kV|GP9#7}tm@
z-M%da^e~ebyZnm?HT89SkhVzZN3Ug%$w>jXq2;zx`*FgUP3FPXk!8ZCP~nkli6k@$
zxb`~_Oc365+T}X}R*8@KA<T?+l8}14A)n+vMTECX20ymgApYd~^~g3zz;m-+f9r{9
zLeyxmm83-rpK00X1KA~jv!o_GJZF|*T0j0P{tq3@s=ecg-XjiH!ksGm$@9eN+Jvb?
z?F^84#EHc9L<}^Fcey9!FA@y4MX#UEF~MGPSOFug7?1}0FG@1~BU+{ovrO5tLRHXi
zfw*I$u;!zr#e091kestAJ21iyDesi`^9_oC(N2*u<IoM__eAs5qbg27FNRlvM@3-V
zQ}!LlZd&+doj*;pOad*PQDT@*1k&G89HvS1F#gleAg_!Y3=@Qk$%VooD`ygAO~VL`
zZ315}<?%wMFI`h%h%f|?BrvbaFvHyPorBAb{J{1iOe@n>7&wwN7aby5VXbuU-a-{2
zIMo|zD&#2)hh7}tIVZ*e(?<sH`+OFG41uL+t2kj$Dh{Qa-QWbLS2L-#kHq0?&C#6V
zpTZzmxf0UM&jnLjg<o<9Bw=AAF#S}R2yDp^W~y%Ih7+#lJ!jLTAvd<y-D$Td<bK)v
zQ?`;9EG6iFw+70B%qTmJRj3%Ozxd)P-p3Eu?oG8vg~-F#n+#9F*Tv!Ln}91>szM<8
zB;bVMV@2rA(QmE|lZ4Q?#yeVtBH%ye8ZA4c43D|?&Wx5yfsX_|O~`R^_$|m@<a|gK
z>L)S`hAd<tEB_zo`InM#F5B2vbW$AxKAP?zZSDo@VAzzMnKbm5<r<}1Y6A0vgXvD8
z3Sb{QL|mAZ0lRW0n;R)wkRlxQ{Fs3<cu8N|`ty|>v=mr6UjMEQd5dF}AI_@6gWz*d
zV=gPe3zG}szu9zPlEr~`G(%&v{tYz+A0=Q7%y=)yuM06-Q%tUZ)dJ6N_DLj5GK{@{
zP(Y07g26yIOM{*cc+{GI{w|;jMzf!??gi?BXu*l_hXZ=>@{&dQl}0sKpZl|soUR8l
zMZvZ;Wrn~pW|MSIRRiqqM==z*=mE*rm(4bR8`!gD77l&W0C9FFU7y>!us!11%z-@s
zC)+sQHtyDhug6sMI-PakoDUE0;0IF(lANV1q-%oa-l;>3Y1*Lw!0vi9t2vyW3h-`w
ztqGyFVo|xrH9@6k-?mF~7C_Pd??Y^&CJY(8kjVM23ew3R`1u(v;ijNMkb{~gRCYlC
z`K%(?Y5#hqlVJ&o;Rn_0Z)!k_oQZ13vNVKFt{cS8S;9HK_E?`dbqIYmNYe)*5Gup>
z*q(7aBwTS|x4W$h*?0El-Lc_<UyDxGXTMv*8)u%KZ@kDb@n)*3qm~9-_i9coU9bef
z*>l2XtBPRdb@2A7;cCJ*@YFZj4GR#Msm|g&Cl3NWtYLIM3se^OU`n`;1ypfb1|OQ0
z0Zz?N^Hg_6oE;A-9;TXuMSgL4`)MiAiDj4)(%XVv#}0B(dCXx#eQRX{vpA%WHbm%L
z=ECYORsX}jW{?zA<~(*-2)ZTbU!J_jgQ|Dc&gxW{!moVOt@CVr@OJ3T@K;(sTw<_g
z9F#GIt$uXIo$DkZZ?m(C@8?6omE}{d2>{z;-uGu*V}m|x2kD(I{21}|YU@>c019`z
z?%fac@H1+F(dP<3_Q_nLR?!pCDKo6KB)dW+nKMnA$MB<Z#FQYF+XNCH^YHT1PZ7tf
zDp`xX`Em40=fO;^ZNRZEbL|5|ClOQ|<90)xAAdW0y#MR9d5^tL=C=D-P1ReS3_rTa
zhvzFg2$_dQAe+1VkCEXgRnBM28~#c@6zz$g?)zm33~5i#FX+rr8SP0g&F}D`PhGLY
z#5P0NrBqM#e6d7LU*+Ezy1<7gWC~2o9vFa<^UuZlh;{0+!b|;>5I!tRz6uOX2Jm&4
zf^*9dEf)Ilk$%VUA={%ynwSuMxG^ALIc39uv`*uq`FVVpc6TPlWLgh)@ToSfTw=nc
z-xKG>#`w@epU=55Ko6|_C|`V%Sum3tb8XF(AD@1{)G@!J3yHppO5K;(Fugg`=SvYk
z{z$##7JpqA%5RwLHFf8}7d9-b6@&n$JDOKtlhuXR_wN$E$Z;a)`{#)aKLzlYk*?Xl
zN*xfqXUnlTvK95&^+)5f1u^i==l|A@>A<m!l|JWY61MB6y@g02?09$l&le#bkjszg
zzf-`4liOVv7J`NGh2hp8IZYIp;%ob^aFZJk3fftnh!(*wvOnhL6DjbL%-bj)&Vzpj
zGz6`li=rIkQ74K06nN!T^3n4cFB%(|7_&}@VI5POL6#B)sND>WiQas8wJ-4$!*&TY
z|M}#Z5F-UTgE{I15A);svSWJ{-6ZieP2+coacx+$6|++e6u{~FZF+9vQdlHsuXDUd
z8-y6Fr=G_P;)tMfV*R)jc9FUBK6Girm6X1g-Niz<XaBK3K^4;YnnRvEGNcWzJJn@F
z$AnRPX@GStLk87Ec}7cCHgzI9q*F~*6gie|2bRUiV)6dnqFbdYP!lzms(4-uRXXgr
zANb3mM94A;_ff#Qp2T0!C62a9v4Ju!^0;D@zmWWZ0!zae^XnxgF@!yH(!optv-4ep
z^yVmV&aqkVVV5M{ii(waB(I3Vp+8>fy6eDss;sE`Eh$tE+<tj0of4|oR4fd(>3}wy
z>?LkzX>6W}(&TPZLK@FxUP~`skO|Kkyv{3w_7dK!&*PMld*YEV%epSKd4;UTx5!{t
z?t7JM>SV0zSUK*Krw4-Gn*g~ki-W%s_ei}VW0&rQ3p~F1Fr)JuY(Wm~SMI?dp-o@w
zeRM@l%K%35QcoWl+q`9e?|JmhSp_W}Vz~^M4IylQ`lJ5K@>oks?#ca61%oqL7`TQF
z;fLpex==m^yt99zL(yCX2dQYYUS$Mj7KM*y5*09TF>C1dUoxgxz4!Z^Wegr+4|Y)I
z6fpi(zuod-GS0nkRBMXd24o?>!+wM!E-P?}bL1*x2*XW#M<)|Fd)tLh|D+<8pNj7}
z^FawOw`mL{2@+ru>#y@UQW4LVOWWfUMQlm(>*D`PzzTWSv4vnoT%7owspzACC!b~x
zoYewYT{P14w^78OCR_F%V3o(i*4H1c1OVu>xadBiQ^Y&|`U9M4vKV{BK>K(Wz!Ig7
zvG2YDW-VI(3J{dRL($FZ(q90&ecCQ7h$`Uzua3ji&AzecmRPU+0604I-wBN<dF+&&
zWh@YuMCupoFV@2V<VTMODQ$AdTdw4)wqFbvKh=#i^Z>kUk9yF|Cx?;ke?KW^3gf>1
zywJNf0G7?xdEHjBcsFEM%_m7gB){GNd^HE)PqB}Iet-<Jz2O^7>Ey#1_c?#xivW>H
z1b1nwGzR^lNbGIoLH-}Mg9q#Yyh%5!m)=O>`E_nRW9Cg?EA4(@A1}bWZ{zv4n{ya?
zV^Y8-f`n{sdbz=Q1bq7TRMBZe0-ay(mb!MD6YWR-%YP_GfJoTRI5QV<1c#z@9XAfF
zTTG4)yki1E=PO?oR*7P#c4b0tF&l=A@8KM0F@d4;GaTZUA{eL1r#l+LieFb5eP0J}
z0|{M)f7^ZtVUcb|b>M9lJUAC#r#oN_3JD)IxDy4jU;kTO-xd}ub!;BEV`~hoHu}}e
zZUUIY=>15tkr`($zo9gg8bS3TQ@I)oesnaut=;;K8AEPvSxuEU0(Lcn;O?D#$oe)y
z&ySY{Pp_YhjlX3G5ijjxwT|=RnL`<7+pn=;e$K{}7ONq6pRw_b%;7;FmT}%<byj>Y
z0E>Sv7(mrj1fvBl50;#})3d(8iVy3G8c0j}K)O|>*%-u)KPd)zj*Dz~J(mz14bq2E
zhX)-VblkY=yHZrn&4Ilol#Tp(J-E>$87cjY3sb#poq2a{!M!zapJa#W!837&v>m=&
z=-SPEtoH>c9!j-bqG!;9x~KzhX$dYYX%JY*<RhW<*IZHBWL+pr_i;*6;lk5n{W}?k
zNysy+ai(ii=eeV9rCVumVe&ckBZ?JVC>;u6b?<e6pqn8l?&QLO15fzf3b^s!gDxit
zR~@J+^)?v};X+n^9$`{G4;os(4HRFaz`+u>`MxqPeEI9ylkerc*k{>7Cy`BosNvJW
z+T5G<_VN}T+T=UDxa$?+Oo2VK7o~E}bK_Y0Nrr>G0;u9~KIH{F1^gSn4vVdAzH`6x
zjd2si1GUbD;$O6Z{F?9Hl^Z;`mpH%m;u|3}WmyB)1Z{|uAYc8X$BV32kDl$96Ty3u
zPS+OPwBggkicXhVUYuW&%Hz)!MMlB9ukUJUgKV7+&1eN5wrJcl*=H_}Wgix@H@LN7
z??n6Jvuu8RpmuuU`m_WpyHF#i*0jJj?YK}ux&StRDXNhCE{T;!E0?V2v_Ne(GHNbY
z5cw5^Rm?s~AyrISWOYFc-j!K(JJoLfuQ5;U$XjU?9LfDn$E*#07rX4DH-xc$dMM^}
zu?#jYnppeFX~XDLG<9{mC{9YYW_6Uv;`inxlCh&Uv^cY?|IH9Xse*ymH_PR)r|vsr
ze3CYt5%oBu!XbgJXHU#?SIZ+ezt%gC0d3fjP8^Ikm&867r&;+11uUljZg=0D0;aUa
zh7HV8_&0dN^k1VQo;nlL!Tgp2V+LL+;muNLX>^*Oy+#SYiyDT>o9Tf0oqXGobZNYN
znQ~68P#NtfRBV;{bYRup&3pZX3|^jS(tH?0#swAL{%?u8kgitNzu#CE>jV6@i4ZF2
zQ)~Xw%TW*ZM!j;CW0u1UHKkqL9V+Or_F~dcQ6G|%<687;<?zG#<2Ga4RdI2bvUDeh
z0mv>0?dOS+$8pX&FZ(O1*e7bIjcW$L8PaxWO+x_(EY>@2r>bJovpXk47Y!ll<D&qf
zS_QnQ|Lvv8F;$$&iL+0gH-ZO|qZ!v76!9Fhl_No~it?u=%~@uRL8siGDW^;k4_5bO
zUh!1HofkM>+Kp|4WZ&E{0ahh^*E}9z7C}altanfI+Dzc`%wG>KeI+#LarrRktBeh0
zd=Jm(6TmoQZWU#zgqm-SMlMJw;p1be{N@G#Pj1tT=xHdS0{8Np?mPwLJvLz{5f5-L
zygT~Oq9WFd3U4VEkVmg9r>OX50RQ*WpAJ1x#57KOa`OpUtPY!qIKXHM`VFS0`=u3e
z#&Ep$=;r*ePF~EQQ8a~_9ACrZR~2w%^617zMk(~a^h^GVfhlZ+F;>&G%VYQlmm?QT
z#j!bdt9Y8BDWr*nW^!}LW5^$)qYUvPsQ6#RPHPoYc*%Hb$C|nv_MSW7H*-r6*X2I`
z5F(kvpS{*yHrr)Unt7m>ZGaD@pY5A29R*lP+a`C}Q3e}oDWu~8Jb3)3qRGN*fGfpL
z?QHJSNJ^tzski4sgG;Lu8D|01Jf_%(4oTtKe9gz{2~O-dJtnwm+aQZ)%%sR)66u1t
zR8m{mQQ^!jF~)uZSXhOdY&XQQkn7*I6bn|ok`Uo|awh>N%9GR@wZw4ANagiOLuTA=
zb2umYg$cOm2zi>H6G7?wHjMnw7_l`Z*({9H1V$B;FR}J*a-rgq<%ehn%*gagXg#qF
zg52$<(hmsY)wQ0t*FVzZYCvhtYMn8NMo~Q9Ec4^PS9y=coapgN+GR&3RbvRVQ=HiI
znh%vjMuXZk>G4j0YgkQ!5!e{1kcQ)V(IcY!jl^zxjP5Kc`#oa_Chn$72V;3~mGwn;
z{4;t~Pc5e%b1?*#l7IWXA8=!Gk(=g_HUm~`9k@fTGJwuHj%kAyF8uN6xf%Bu0}4!4
z6#dgQfFR#90nD;o=p@Lkrcup^Hm94iZf5F(eFlBb*CZ1DU`>qks%FCALg9G@A$=f-
zp56dq5-v~oJ*gaJ#?Tb!BZJ9$;D6lBzvJvy6#m7=;v~<Cc~=F@$4Gh*S;;KrFvW?Z
zvJU+nk!)y8lQMburY<DA@H}+5#fiVU1nH}m*|GDVvgmnXUC26;7tVBy6Lrp~8p<bZ
z!L3ch$*$Qtz~Px2({_{-)n`LlZxCBiYMlO?>ZVWsoqXh=OA03rHCY8lUMAsPX0tez
zdJ3q1O3yv<ixWLGiu?Xv;6fHpYo-+6P5n31U{gQ573n!*i$`L)G3rT5S}rREoOiz}
zSYsfek&#{P{tO-rcWmMQSg@&w7t_`CkCQM#Shn7wju-Er3~{1(XahxXrv+t%gtkM<
z+k4qJ`+3)@*MC#bpB}CCS_$C7up;?iLI(v9N9SY5>a`%?%n8*3UT*a8VaVG0RS-YN
z+v#Z~X+c?}((`Lyxl!=sZkZBmVFYo}+#z=@P`Rmi>01g9cF-NzGCU}P&hg8lg_@iB
zV?vU>ft%b3+xnVvQw%F(9(H(>wBWE}c>%329~MgVpIdX2z(={)|La`V1c?)=H*TEf
zM}f{5+uP}qsFJbEigi*GTK1UmG~5utCL8)X$$L^bz3=rL!?Y$uU*y?0_(>2wa}0LS
zWlEz@vCQLX8ZA)v=>1(w62{xy?LHQp9C80T@`P1V3#66O*d0!bpe1W}bx4ye3MJ{6
z-*V7`$+Bao2Y-s<!qkp04`<}?Z+>6f*bOZ>Eg6@1=ae{3M$W$x5!&R%x^1}gh!zys
zZ8*j<Nn-Tn@8vf@5!r0Luk+b!!^h>RREZywm?#`m)&8Fnnq))Z_Bw3{`(RL1Q6`1i
zV@bnf5z6S+&GNA3AO#GJwuBTvkVbDdqiy2}WXv_&p)bdw1OEd60RR6Cmv=bT4HU<X
z>~-xeu6bSKUao7q=TgWjX=z(!R74@7WF#U)dP^k@MbbbBzf-BGgrZPX5*kKk_UqsC
z$M-qUd7g7VpR-;nai%F=9e0nqn5!o1;Xzf8Yy01tz@hKgr2+#r@GIr?l&qgV#yl!A
zkSk<@>A?(-AU92<iETCLP&UB&fzvLZvrXZI0~eU<X<^sLhx3#o0}Pk(>&VP81Bcs1
z3$K^7(6ib4F$b3+QUkXv%HA}G(SqThSg(!sIzCTllnpU*c(dA?rxu_h^3f|QTnFEq
z#rh0S8(`t(X-m!@mT(lb-#d{g7}Cq{c{<eq&)t;RYRPX6O2@^&+)ksQWAjRS-v@mp
z87bU%)U<){vGj_NUliQk=BCxvrH2;jUFoVOEZ`gtHJ4Y{#p3l1ulz1jQBX!j!CMZ%
z@`tG0EJGJ3!%JRgtkgvZ9TEJH3=kT#=kgI1U0fV57}GnbgU7y|5LEdIknWzPNB=@W
z=2*Masyr=ZUNd+gV9JKQl!+Jf5foHnDnD|+yF9<OWu*oO*-(*rHF)Be4wf=6UG*#{
zW0PcM#l$%_{N=8#UTdj?e*Nw{m+DkeCP6YJ>lPc*f89dner<I4B;&iMR2gGM_e=b{
z$%gkD9VLm0T9}zAp`{|FfPL!*qVJq#!{PX(ZKqCYVlPilXLpSZUTHKsP!Pg~kvQ$h
z$FUmN_Ky51ty~hdKTNg@0UM(I7yrfws-u^Q=|68Cah%E3wxX?IgV^4|9`5yIOxf|c
z_UcX%^fAg<;Y0vjaGTim$6O8NhZ2?o`~>iGPN46;Fo1ok`#rq1RPlO@2e-K#FE)mS
z2ZoYidCs1hpG{QIR6A_9{621UWA!EfxyXX*uC~3y3?;08O`=D7aALy}>(J$48+e^|
zt2EV30Y@;5^dfeNFyBy3rm$?lz@2lKa*`Y>(37Yn_5yKvE5p*^j5W0FdK1afBZFbV
zsozJM=ZG++kOjA|R<QQy6j8WY8aMp={${(_98oSD{=wGR3SP)f#1Z3?7;5%mcl(c7
zLa)g&{9Cdms6<)N-5*Hc*weL%PpsyM_49C`?3)ENuTM4pktL2vE|W$7am*9L{j*(4
zHWu*5Z9~`9Y!b?{Ef;%L7YO$BnaLfO&0(uz_P3^eV)&}-Z=h(#A|ZO~#nl^J=CBz0
z*75a_2p$_(E-6ssKtn@wnq-g}DEXf{A8=b3x9*p+kdfy^EzXt;H6Kl3F@PQOEKdmE
zb%dC@Q@K#n)FSbLqbX#jUz(q*7sTFcoEfZ5+!#H??Z92f1WJ6A;f9rh82J51W6}8)
zxL0(Ab*(8Ao}h=6)olSZJ~bMkJjR1lCnL^{mYaZVKr(IDZUHnOIH1tz&4<&xbq)8-
zOu(gnu(-rl0DG?{KMelOk5NAAZ={g{_F~0x-fjY@|5;gRZJHp`Jld?RT^KN`oax4Q
zLI5Q)79GW$gz+a!<FIqLG3+hTHw^zQfIFKycRW-V#VP;v`}@L-fhVF#sB60*>c%|F
zTrEmMV{bj@52D6ULy@~s!X<<cX;)p&DvG0+exyW0sS!|{>>R3^gfMxgqe;V30uA4{
zwx(?|0@LINI;1*bter@G5PU!qQv{V3j&mD<by&}wP@4$4TS3xPg%oxfCua&iqQgBt
zSBfJ^3=P>6B({tUo;<RodE+1*xI@>pHJOu8iGL5{eVQyjRF$WEF{Z;lx5F=zmq>W?
z46RXZr95{2ZCtfukp}-3wI)Y8#W8%R@TY{=3V1wiZ|CP$8ra(FZM@qkfv;<Ivb3_5
z@ITF~k<3yWoZIR<5Ya4&ymevx!$(vwjeE&zcP<SWfxLE{f2454S3m!OjVksGU3e9o
zN`vduY{SWwGMHj(U+uD14TmE3+`o9525#CP2M2;=F;$@|De3?jl}zWFE%RtlyQZti
zp+yeaZ!~wFx~Pu+&S|C%k7@9tyj9Z4RRN2#uQaV{*TCTC!^7==Xwb4+T=YY)BAVrI
z+S@6wg$JZxHj(Ibh*Mk78JMAr=HUtg<$JV|r#n1}o<au+4ngO|4J&cyfb_Iq<?`L?
zYyUJnLx;8FA(YTuRXj^k5Q-Mm#hL}`++ds$urKXMZcS4|8+VF_|7I#SCvZxns~f}n
ztbV(nsbpO2pRGG|UJuW7Z%m*5VhsLqx15ijQAeg0sj=d@KHlN5SHedOc$%YWTb`qV
zZt77=+8+!s=tk0!_eCb~YiOcF@uDV58JRw4Aq?@N=&u_Vl}z~a;p36ai(0r|ME{C}
z6%BVdr#>C*Hig@yV4E#j+Stw2XlWfq!?(2AzH~WrSTA#gsvV_+VKIHwEjct?E1&iy
z*2e<U4Y!E9xl-_SuIS)=G7Yc9>x|#1v;^_$*CxMsbP;7DQ$D-XP?cTQT}ZM99;M8G
zx|ek^K-r&T%V$F@Kf6R#^|670LNB#zBq~0D4fczV4e-c#bgy6`3&cWBHRW%iBH@?%
zcZGvKa-4h<To?eb<LppQd?*zSw@XV1B~dZCuk-lb5rE-b9V*{;Di(Zb*l{s&xvyj7
zs6j6_#Q$*Vij<-vEx*{>ccV5Y#yd2|*0LexHb-zvo-V$Xgk!RNnpl_i*W?z5Eifix
zV{T1T(4#LlMz(~E_O<h>gsv^n{zU#KL!qGIh2Mdyo~pR^%JFG)D_c-$ShLrkse>n1
z4QMl&N@z~j#AK!|Z0n<RHfd_(iVsyMA~@vm{Kv|^9z|O?`O4_#?1Cl^XQbCIYDl3i
zp<FaJ%!WRvg})8YHPH0O-f_|UB;4cI+xz$d8!S5RNB>y%jo`~9cje7O$klwY#5|A<
z-~6cZsW!`8+!TD`E|nLZ`(xLvl3V7~56*yfbE-HRwz}j@Cnv7UVax1a=23*5xHc(v
zCBEKz%%`$&o-o_1?)k?HpjB<tqK~37;`Na|rzEC{oB6VjE^q=UwuHG(wkhC(Szr~%
zn=xWy-Gbl%iv?x9{)bXZ<<Rk0X<Yoq5kgeu-;nuH8wfi-6cBY+1~X<`--!$VCU9gI
z??9C`7+j)$>3A=Ne9W8U4-O0x``VHx^=7TW_)+DNo2twE?v)^_YC1qz&;3_AXl(^b
zHzE&k=7=M>5;K3b1_*)go~^}+mQX4o-0MLj;h1%+kQDzQ(c)X((A;VPXNcDg^SvT?
zljDWV!#h8T+Rer3iR9(_5W{?~L<sf2`<k^6|0e$056JdLm_u7`Ri<>E03HxW)7sKu
z;<F3a=Ydu;;G$NV91!D2-D8;Z-|tak$HM1dX*4rvuSh+#;xaGZ|NO$;`}P>2J0T+c
z{H!UIfK^S09}lkj*5sa$GC@3RsoEMn$AtI@3YUP-3M55;xDt^vMQrlseR6p(6AHK0
z9`4WNMrP-$`x!U?5kX|p8!8<pP@*)F!ZX5!v(InERCUi1i9xaaLoOyTI^DZvO#~O#
zp0XBZ&=!buPnoVu&l%89km<j*x$qj#mUVlsED`?w-|F4$7?4{@Hb1t=i71(}<)aKI
zlG{qOJL`?XIcQbc)IU!A)4vl`gSl|EbQAAYCu2woDbLK8=E7aq>uck?xbbk<^qRYE
zMljuORH@^^g*Rtf?l^Aa!Kk~No{9Px!2whI&~x{=(B`PE)#5lW&hWJLewd`gmogbg
zCw*>Qqf_a6xR4*)Tvlh0)96q%w)*&712;Yh;@b5%QV@CLY>Z_nbeNH12bagMz|P>m
zhh>6<aj{Qw<VzzBc5F*2Zrj0we~z3#&Ur!<&*m1(R|V6cGuTys#TH(4<L7kD-c7<I
zUBAW$6ljps6uZ_Uj1R->>Qs%+iDN;p^~U&IL#S$GoG-t}kJoa)HgtZMz-@}0uAV%G
z5OPCHX+~TS<-CUf`_EYlzwS}@wm)tFd4*@J8_o;im45{#$<5NJ>m1g%Prv}~Ki?dp
z<{*OWUzd8;9hAlB%#G>l1^S?MJMXONN-?~5o;YUDkjHQQPM_wT^}&~Y@OD`y2{S{R
zUWv;qBJG{upSS$_@Tw_%M4?z5S0<{z{;H;o&%FP=c-*B2QEjg!WxFMCO&6nDXWdF%
z8UG~5yj~Av20p$T)sezcb*g>jJ5{V=1^Fm6=s}aC^y%I+(x`DUBxF5_j9WQZoXGmQ
zoO5VRu7IR0y4*kWFvLq8b@JavTj}Y;){D-y?hoZ~_xn1w?DAbHZD^j8%hreb|LD~1
z2Nf`l>I0qTTF6LEI-jg*0G>DEPwaM8LaEt=RYA4d%l=>V!Rm(r^q1G&=W|fO=Wkz~
z3vr=fch!Efa)%*Y2%zfb8>nKIrH0$;UR@+#TDg=KM}yMXkw{(#HEg~SJ=qYchh-Iq
zOpcn+p~kKBwpI`s=Z_|zGvqhG$M4qt85b~uiJW)$pPpC8hwW+E-;xaRDpEwxau~yC
zO=`!xHyUU%?Ebj=5Di~3=Zj4g7*HTM^maeD78Yn1C;E%iv4iX|dSjCbcvzfyP-&`-
zA6Bf?fGj$CJ+u<DFJr<M@#FK~eRMFlOm}<X2p!{}-<_y2G=ujA5xo|16l{DJ6D&<O
z!k_Pkjy!l~4qv?I{hg9^acJ_%=3C2k)_{_2vA-o4m@|gd4^pw8&o{g6Hyr~a!%j&{
zTZ3s{>(XOmJ<OBL&Q^}1<Mr?1`8l;V;K?;A;oYEzCwlJt*1Vx%@y@cFZ*&1z-)h;8
zI{NtJg3X}r8$;y3R30NU2ryPn1d6!nqfAi`33K()=a;0-u?#k7YOVA(W9p+$2DAU8
z2o>L(`el@>*h2Stc5>DiJ-lD~u7!8C4q|2Q;YaDVur4pn!^2q*b*AcwsZGnAAs?b^
z_1MDgcz<E(7%FCMv2xPiNyhS9&*J=r?I8J()~&Nqy7;JDZ0y>A3Oe4Jm&;YKgF0<j
z6P7atvG3;AbKB%mq|sQxLdXvGi>^9ze_9(m1XP-PETpirxcP4XH(PiT8%4;U(!vLe
zI<jXi#jri^bzXCUExf22^SR5fiTdh3E3-BD&@_MO-q!WD@N$D~662UULdd!q0SgX1
zy6K8q!vq`3-SqwzOsJt~(uDZm-xI`dmm}?CX>7>w$t>#&Rz-$$)Yn<X0V4E!Yk{sB
z8!lvT-Vr*ajGHYle=)t<LQHjKd28MWpeoDLw<;<k#18H|H~olJBey$v8EdePOYD$q
zh#c}?E&Dol;REZ{Ckb}pWfm;2Sp4FsG%_!j|9mC+jrBgpq$eD0K!CNO#vxx4FQnOP
zY<$+o@{i4O8tb=)>fzp_hmMKk=$3n7olpB&KgMLTc_pnO&;G@Tl(HBqcZOFr?;Buw
zGVeMYueJg&>vh~J{|TW)bj8fP=m5)mvy($nj3o$^Tkc2==Eu}<P05a5KUns19Nqpk
z7SP*`gH0ECFnrAd|9)m4D<<}glryIVusKhC&XeOt*`OGW1m#}VV<va8yo))sZ|e}U
z{mOw+Oyka%iC<WDR}b`_%`*e*()TCsb}kShncwR*<GWb?XZ^*($4o)`wpsR{kXd5l
zXzN+h_I6g7wRTmEt0}CR-7!@iHBA^~e>6@sXkp!*2$~NnVZzV5xieCKCWtK?YKrDn
zUa)G6%xZWgmj9-6F~S$B$A|=(o{BR@l`I`fu7G^B3Fz$$QoH$il&Hz>l5hN!#i|PM
z5(^t-K>gC}b|Pz-kjm2z=vsG&nA)gT`O}jDeYYzNqW}ITGW1g?yO~I=*->w_so59?
zlZStcy!=UQ%AfYLl58YmuC(sYaWn?wn3{$>-a#Te@vMq*R||3X)P>xW&yC<jc%Dt$
z^?oAseze4PsdmDhKfGAX-U#eB%h1|#e-MHv=Z52<lQ<;QEhhPj4#v}43gtic5xGzO
zj;`?UCZhEJvp?cahwZ9Wr}u8_Bl?TKZHRdFmAKMca+ms<2KU4zyh~O32ql56(_@3Z
zgxX@yCh0&LjKwTA%_{a0_l2&Eb4mXoOs0O-t)4Q3BdV&WH?8d>I43bBWWxZ_F4p}%
zLB$ZFZf5Ec<$XkiTv&xw$xmYMV-f007Xx_fRq#v9^#`$@vsR!`^ADjb`c-V?xISFn
z|Da)9vY()Di+pHOKTKREzHs+e>w$p0wos?Q0CCo}D)#HkQNreoGsme}D&)n#QywrF
zB<hClSD?cfvAZg;wS`3mU!xa&Q}I8End5upGk%N{HPa61MJc+lGdnCaP4G8yPu#B6
z_r@e)`Ry`I_!9-xe)!0B*8d@nOlLIYr%n^aSqkg_(kQUeXRQ8S`7qHFC{;F}H$!N)
zAD7;KS_hPvZp}_1qeS|@+}~$=<_M)bva2=?X~WU11;0<%{}S0gWRAZZ7m4a$r*4mV
zXv3DWw?%WaV+4lA#H1x~U_f<8wHs=|YoP_6=))7l<=T5^-IqAg^HWxCwviTO>u)Je
zm7O9UL=Wb5Ugk!@bvGgwiZmhGRKc&IZ<@IA>`a5mULH)^e(z!%MHBMZuF|#qHbZPI
z`*4o7oe#B(`a7daHQ>TX;x1qDd7>*uWbcpVzx=79e1D*o2KcXX$hM7IB-ocm=*+J|
zSP^?U(xz1%?wqi;F3I4)OH;4D<Q@^l*FG{aWe3#Z<ITpMyLh=!#<0jdyoiKl$Lu01
zrPX0;TtZ&zRc`D)b$TAGBrs#`n{`1i$)Gc168wJI8)MJ%?Ma%H#Fwng&-D|@(ED4n
zM0+zI=ESKMG<8a&;;DVt@2n%k_j-Z<8jc8HK;8j${3DCJienNZR5Ijxae3Ii6T)Yd
z)G|3E1-z74KD9@l3<VtuDM5as7^&xKlv1LEC*KSwax0PHqjLO=b{+{Y-V(OC=)Dp*
zgy*%cHYLL*3-u;R9SQsw_o~rcR}Blrf4<xlOokxgrdEYcNz~JsIsW=78NGUHN|hVQ
za4>nlS<8KCT(quvSRbu{j?c1uHae+;Qcta2UYRU*42o=|Zqz~_`Gu30X4GN*+S-Vm
z@A8;T744aK)j@I3rZe$98n8G_rMQ9;PHD&OZuZf|+U>fhVmP&+Wypj#?X?QJeCj;9
zD@zXx15Sm$4bp}i(ubeKJypfvDsy3x_Xc=k;Lff!+7vK9ow{_ugp4zP+gV!aG@MJ_
zez4z~3SBkSTeoV|QTYX<==420HvK-hQ?W`Pgf=|05ZtJVdP$#mvl@)Bdr+KqcpVLV
z4&535HKT>on@d>5uZ(f5PXFE71v=bL6{2)s*TJgQU)hXe21fk%_(J~oWq&@^kQU>r
zi$^D@+Gn<zpxgB1qdpEMFl8=n@cK!`%dC?zF>g%p+WD2c@41=5fBC;_8T<6H_*GfY
z+^`AO1dQ*UdSU^Kx$BJ-8w~K4+^|+pxd~QTy$~pKvIfs_&C2b=hFBsiG*m8Yg7*$P
zJ+WzH!HQ>#@ic!LGNy^8DiQ<RF1i1ttFwXpr>!vT9u1?->@)1I8{rdI>mB#)Y=Jf0
zB47N9hRtWSM-sbfsC@qQ4M&z8wD3F5Mm(gUrOb21o=f_;+H1AiC81T2TKivLM*t1E
zb~83fs!?#^z^7YhuC4;R=@fx`J%;$icOf$>N(0>$1!H&@SHaI{v#QQB2KeU1bnfT6
zm1ytiY$Qou4NA60bPUGzaPND?_hySSI2!1AK1^aYFe^f>PRml!cXu4=_>2hp2kjBf
z{jdr$+!79Yh){5#GRdx^WQq8?%Km9!#45P3(au)vhZeRBZ1(Wd>mh7+WFDj~+QH75
zkclmKHBjcv)56KtLDumyTd~YAJIL;l-p?OF#=7U(HOW5ntof1O!1cuzV(rdHS2?Mo
z?%Dnq54=|Z_eR;;7<*et1fE^yeoA=Ib+grNZUGq7yJ;VFmkmzA_HTHC<ZxGl$!fKY
z!Z0S+NhK+;!JiebrFKsWr8{o-%bgPiCHFvYMk;`fqdbS0g*b|omz;LuAc5L5HKSQB
zfX7$JDSk4-*z!d%c)*7QjvI=o1>7vSlr$_iV9$$iGFYN9l?0D>hkXhavjOk$`TQH4
zoER<0h@_{GV9m9Y+dk`918>Wtf5fqWM10NWoq`8Qpu5BAIp10<poHXGRD2&HN+m?L
zx!93l3-uS@!f{JDV4WlWJoPJ)ynUW@K#~Mz<2GGHtp!x_&IrHTS3y*dRf^=l7K06`
zW_eyKEa1;fP;3tOd)9>wTNyUT#bA{0&RU@j<`C7?R3(?z$J!hJXK|ye81T3{8FAe)
zgMFS`l^bG)S+jHIg}cqg;MY5zfm=dmuzH9wNz{(B?j9*e{WW6ntV;Y`Y^W(Dswz2k
zwNJAwG?F5mmh&a9H7+Q9Wx|G=T0K?g=U81{>H3?#iGlxYi6V0Y6IKxZ)3;=nSb{Rg
zPpO-dU~N|8$IQ1Ta66%5_jW^0$acP#zAl>tv3C~!3avE(VbZ71dk8Lg)TCP3!Y>X9
z)LR}|?F^W-tx@b`uYkA>qy@tqaZvFyZ&&wb082b__qiG#_&B<G%Y?ZE6zATEZk{j(
znYc`<un8Yj<mfcsoR)yz&mFpDX~rPOyKvd&9zVFKRFga3N`iU9y%!w%#-R7_V^W)u
zAc*=~P3xc(yim}to_J>jTtDnilAj2H;zrX~tT)o|u)_1x*JDP|zxEKP$u1F?v=l$z
zGA;wV97zQ_45MZ5HFW79iNOWo_JS-^IS@Vm<+|M{9qeY>gPZq}fH{A1v-x>>c=%wI
z8&O6F#-@#@LU)P->E9FX02xInSFWvq6Lc_L-?cQjQv&veR?ZYYP=eD6PAN&AbQrts
zex@i`5=2a_ik<hXz<b}M4}q3+@aw+HPs);ljXQHL(9~7oao@+xJ{>xEwJZs^y_AM;
z<NN#@RMa3M{l`UqbvoQ@`Cz%9Bnv5DbUrTVkU_V4qE~=Qhd}bk6V?Ga_(-`iD!^Xm
z9}k0VW=jWO%Qa^`zRANIiKEm<ej3pEb1ZowfDS>@RuSI<6yZu|!F7imO}OSHFW+&E
z4&0QG<CT2MFnn6q$g@ccIy}~xuK!Diw3Z1Wt!fo;mHB$GK~M*>#jkIf^e_TbceOP`
zELE6)ZgMAk4FytW+hWX`jNmK1Z^@6U2Dvt`?O!J7LU3P4kN-|%sG&a$5>g?9*@o$p
z-W616j#1uonx6q=?^%J-Wo{3PiyYnlQ4ex`C1<VQFu>*7D#uGC4KP1CU0(b}A1X34
zcO~3j_S=ijEdoNC5O+9KdEW~I;M{ra@{KD@&<VJDD`%Nw)x)OO)J_-zHxJ!<_Kqp|
zpF39~I;sV$6h~6iSI}TcEywctTQew?@cT`)YQvLzWC<<`4V33{X|l_nf5^n2EB&et
zob;K|x6-A7$Mmx=&ulC~`Q}82+Exk#+BqHgxtt?-C;8;TI4kfxzhjTu6a@yWhu`(?
zH-y2O>eQD{tf9E_ZNQ-rUHF*HP{}=J0BhoQl-Et$!1I)_f{c1y=<==Cj%4eDin6nO
zvIu}S|EU!(hjn57-1es(Ra9vF_sFq36Ttbw#Mr4nx{w*OE8)%<1;oiLQwJV4_=d<E
zU$4=H_JpTgOaHVX(ePMuhc6peACBGUxl0$`J%6k(`&kn*?BwF&mhY<Y>Y}8e4-|O*
zD~;rJM;&|v=~RPnY$&_1uZ&xh0)4b8KieoZ80#9&dp*yF@z8Hi;@0Ybi(ZXBSCI;I
zdtC2kaM{A#>%L>A+q6OUWmIAHSq12Ma;;ftoDGFe;|_9eTEGmOZTs~?1~`LtOcGn!
za72B|%FjR(XyqebQ|l#xPM!N|n9qjW1!aaixip}><_&)kn*{ljo?&%fY%n$7Wxvo&
z1_NEirdd59_!7yj(J99UO8s$*CwXc>7r5bBdW{$47@sO;Ujo!TP`Q6{zbe?QNZG3X
zg$w4b>_R*b0t`OMIy!t>1(-JT&+4u(u?~{k6h6rSG+w@wIJ{A5`M*&(X4y5%;&5;=
z)i}fg4`mC<J(dbkd*e|gVKL3}*y(J4qS6N9wb!LMvE`sN%rD93>ICb_BRBmQ^VT3B
zA>z3{PzIg}Hk`ElHO49^%J&GgwFaZNJ^9L&QlKWc<L1rrzpTTP(<bpLRxs)|a?pz^
z2@Iv3N#rYkS)wCb_}bbnLE<gXJ&Ag8NPNZ@^SJdd>j$}#`Ax$TND9Sy>2V~m{gV9H
z=+GFeF0X{e5orP4(IE-Po{PfNEk2{s&~cVg^2ckw&E~-EeNHpxjW7u0#{FxponQ^f
z@iKL(=8zy|vd|?Z1VKAvBnKR(SOzkA0y|R8poLMdt#(lWCOl7nUdi{5#c0V4SQ;?}
zx!Z!DpKRj?WU_Y6jnA-tw$@pSdYXb`PerMj2OsQtR+`Tgm}g1Z%IGJ&V8Ys;liKRB
zydbI7Hh0`^k#)sOYI>U)6Lzd8;ypTfV87t{vWx3DVCmOKj;y;T;NHPs*yF_m-BCAR
zN@j9`&vo5QO^OK=ef3?`l;(i~#X|>5zH`C8_2Q4^Z!zFn!5QVA(G~DN00030{}h;a
zIMweP$L+ndNgU%ij<fCcx$Rk^z6~oy3Z;xPlI)RGR-q^(k`gJDavn{U86^pkPzl*H
zKfnL)>w50zzV7$?^}HW#u_t#!Y&k&u+$)vSL@ls5)%`+jmID&_mV17_;Dp#(t0wCj
z21Lfc{j4s_3Dw%oAO7y<hSbcii-i~i3glk)4R~|H=|*kAxBqxRe~a_c{0=&dG#U~d
zK5&AMsrCD%7kps)=iZ!~4;|_Vu3m!&x!^DFal(!=0l4~`{EUy44yUDzb=<aa0}nd7
z{X>NiRI7yr_1&aF-sdaVKaX+)R+W``&`$&;u5I`TThSoYDzWzQS03;wJ<k6+Lln5W
zWGv^Vsc`STFRf~x7h3wU{(%lLAfVrzV}(>Ws-Ld;kj@X&C3ak~YT{7B;!oPMp9)0V
zn?Wqu0#Gp0H+dmj0+b?Zw!f63g6LkscLEARK$}~){JKpFh)TZ;vl}RIUZ{dQsa+U4
ztp)d(zL5sCLUmq)eH380i5cAbC<52ETow&UlLg5x`3I8R6p(&t7<s2x6n2euudsy3
zL-kvaXu)@6kiIzn;Om?iyxng)L5oxX^Z7hpn_@E9N+M2cb#Yj_9kDlTmm=ggHoq~>
zCc~egy8nKMNWjq@f{IQNN-$ZzN_bpEhJ(v%9uNB@VcsX=Q{)32yqf=W{Yx7eo+_^g
zc)LqO95c1Wb5$8q+`vhCD+Tf{K9G!Fk%3@Z;!Nu<Rgl^^j?+)4z{&vAPOC-^j$Y;L
z=zFXNr4`$4OE%{qoRA%(o3s^}XVmPN8tPDQZ+IV_r9yYXk%C*Nw!zg>!jpm`0^Du?
z`9orz3Y8W3K>tQXcyJ|}&qtmJbS`e^+N(4;YwhPL)2alkp{9yA(lsH6u(A^ENQVzu
zBV?8zI7l`Wso%Xqg8qkb%z0G?*k+vnbd6mFA|@-pb8n}B*zX#}4LL1{^PB6aP*nxa
z_X}bNF)9cc<h4AYX+w&}@MC3bHTdl*m{Zn7g%oEooPduG{O)PMRK4&};BB+FTa5<U
zwqu#4wYo5Rbf}a&L>)$Go%P#~(!hf7yDNH|J{;`2rWzPbfRhJFUR~#CknjI6pgYe1
zCh&P#2`(DYz18dh*Jk}4gAby@N=7hD#4Bjxh~QOMf9sz-4fH1^mzHlEg9dh}!tVtU
zG)lDHzFwz7^r3`bQtB88+#BTlpsNYIb`mU+9TZ^Q-))(13!pK0J?C$@CQMK3igR<4
zA?vwPLeUg}sP<L&*9n?%((2)S_IDz5;dUpp$C$!Ra>R(_eod%y5EL~yOMq~xlUymw
zrqCPneEa=bBD}@@!U{&!;L0U7HmyBoaM<-tOYmMI?C>{z@2;Z)v*j*x!P#aIEEGz#
zO4fiKl{zA%I3+MN&@E-unL+<=ldDas1SnWh-Kq6*D@e<tOHZGgflyEJmQP33;ej>F
z4y$+4u)JP`h21uTU3cpzcH;3+arNcNOf7MEa47il^|NNsa5}cuvt1SPr#yQ-B}E{=
zb=<HMGXpNRf<H>WDv<fF{Xy3p59lsTzwDba1^0%RQ^spJ@H{YERPu%mENrDey5yOH
zeeqgn;Uy)w_!-a8GFipWpYM#x);EPD+rq3J1Vtd0^l&%!%wSx*ZZ&yy0qjXz5{|vT
z6$qDG{XZWZ$JC!l9_8}`(CjyI>f?|DgXMbb;|IQC^|w3z4*bJFaQ5-#tLf5k<fC@L
z0(yt7us<&vC1BA0W9#`(R+2FBs-%1tm0?}{aTbidCh+a|lC%<D9O88|WOcvaWq!j4
zP&AW`AzjOSqLd*9bEJ;gDZQsm<MWyP4bP0gL1d{q@|Xx@BZWu!aVC>9zx%r1k|9`@
zx!6?}3W6Uqg=%)af%$7jqB&a65Dup4q{cMz!QGmn$=wRoOj-Q>lr2#P@K~;LYX*@A
zq$59uDqo0Vj#N7nW!~z;k)o*V{Ue;9HMO%Ozq1N!-chzEL`EM9GDJ<MzOzF?XoF<E
z&<jj|@ep$@Ko8P{f+|c@*+AKe`<wHPHmqOQMj_#?E|6XL-qDL$AX{{1i<;j@Ooru?
z@}Rmdyz}TxtE~QqUHCc3TK%jK^PX^->c5}^>;&nj!?9~vqh9F38~Gt@jXmPb-g#{(
zmi=}_xq1a_Tds*<@f*ReGfwYSJ){kR3NrnmwTwl5@8XVrIffls2%J>u(t;vI&*N`7
zmaq>GNM8yxe`A@7C{@=+3%;fVS%}InVuX-4R|-oeG54Fc#%4_nu!|pir4_P(?P+<&
zN0t7I1&yD&Lo#82w#1E5NuC8v`C^CpxnDCFrP+1zM<X4CBYYpZb<Jau4sYCDTjsFF
zEmcu2=5(-(JS=qN!#wswLHFL?rUh(eyN_zrdm5blm1}O#wtz*g9M3$_x`a(deh{(V
zO9O!!3D@_Y3z&e!Nxk*C6>OWy!dm4h6+FVnJa$YhVA7au`a`32tlV5TtR|caPl@m3
zdy5w_&KcjO!txC))#;Pv9uX>hYUs}8PFljmK0o=At;h-w+9#R}|D!-T)_#=x$}+}I
zVE=tSo((wU6Rb7U$q?`+a3iC01=Gxl7<<9a0iW`H$wl2HknFFKoHSU&wp}4rq!e-j
zTb9Xi`!*6}*wk$K-nEXohMb*sKgbO)GOI5x1!=+$oBX3q1sfR06KDK}6)yylGFgJ#
zh|nXie}vr50*l+coBj9jgL^NV#63C@zStA9xPG%jmZhcQk4!-r^Z(L9xv2q`*-}S(
zRM<g_XTx!cRRnb0>03*rG{D?0C8#rs1G3G;iz@yT1)FE=IiGV0Ad+{k?8qu7+_4H4
zPJbf?IkVEd&3FO?>l5DZ$mfQQKK4_#F5;j#`U_Y1TpdF0m~ciO;e{u;)48c4k{~gC
zbyvH;I{fha%Z_vBhsiY=qU;|jPzlrjz@e%R>7lHGcVh%$LrHe=;fxF%t=Ac~oW=u>
zrLJo2XJIh^kg~z9A`eN-N~igDJS6VTy1~K_g@Pu*l8873pj?P99D0ohvg=*p>MLUK
zp$zYzld{QQ4gcTHpYf1wlwGk~MjWo4SXtitO9`^}CXuCi)WP<y3%%*71dKZvIq&mU
z26HYG@k|$W$b9kZb8)N`9P*Nj^IBAa-S59sQ1>Q3jbehlkI6uOsh-=}A~jIe`^={w
zNq~;@Q%6|N$iX+6t?4CR>Tvk(7aPsJ8X%=e)cjhx70A&694WdQ5LhP6X?=_cW0lt>
zU$HBKx6}!wC!+}=A6p$$o@+vPJ38>fR0&$Ai^JcrZoV60ZSMT@Btx=&@z=RaIIyX9
z>02D5z@IZF!2~=N4EK%l@k}U#*H9s8d5{XcXEd!9Y-o_1Rc=w}tO}L~0{5gnqru1i
zy&i7abm&Oby+LKFL7zhjT`-;w)*V-b(uB3(GWI&SgQyNXH*)Lp2@DvD-C&$~qzzSL
z8|7N*1W?yW%DGa^0J`g^l7u*2$k+bq{cuzR-lt#Kr835V&wAJXDFy3;^nevh7)}#7
z8>)+mzZjs*QfYi4!VoMfYQnqpN$_}TXWF3>2J{4$@V&fX3?&Tw-3}!(sKj#Zj}c)&
z-oievg<K5Azs<1yXeWbiYF3Xci4MPmEvU3+fSWU~++G?`AV~S<m$HAG`Yco9>8~^e
zxxC`vdae{$r|fV&DNBJ7-1W;oVP=pebZpCzCIuv~4nGiXC4ytWS%2|Xb2z-Op`xae
z3{va)l|)?tT|lD0b<hx!Qo53B4zFA5Nc8U{Shu#sheoLYtU4?X{xpZ7J{|*;4ozql
z%-EmRtO!vGmx2a_EP&GxKa~?jgj2HdQ?e&yq164Yy*IxF%n{dml$HsQ!5|A-v~7Xn
zP}AGQ5p$?bI-WOYuMTceGo*ia`N1!v<B;MFb130ykxq<LgO_){t2{Gd1xsXUS!QMq
zmx}#uzgDP#r(a;E?CWXlX0vJ3Mz<L>HVJyqwBta})nxjrMiaKbve&%b)eM@R1%~Zh
zR)oMhw&!HZcjj>0@c3Y#Da0;vS(hJB*xd8Ap~fdO%(c&6IF9|M@Z2)-l*6nn=pJjj
zekyO7d1{p)t?&t82pomdYo#F1N#$qa<$uhtsam)6{{xU7PH&CBFAhbsH|<$gSP(5u
zOX1*s45oBnEf)=mf|&9lhZ}rsC_se|SM<~bJY91W60Zxv(fF$2;e0mq<+5WrdzUeE
z@2tNj_=^{`(+_h!{=kNQIV&VL%@~0Nt4mw>ZB7_HT=ClC1snQ#raq@m&Io2!2X2Ob
zV1)q76d7^?8_LASPbO_Q1Zh_lLiO`CY{U1Bzm&%2xjD&oHAx1b;9hxg+qDJkrNf;P
z9AZTeqeIpoY;u+(Ca#mH@E6N{%G@97%!;g9X&h@}`mnD@v+e8Yam;(4<J+d6Ea*lo
zRYTBA59*@5qJz&5VjPA#TBR3QklNoh-;<AZVOyz#e6(-}#uT~GtOhLTAxjAVGYMU2
zz9_zDk+le0Z@e|K%FTk#_NNbA4b_3<P|x!W{g+H__1Wi*ts6}7$A_;y7|;eccEvll
zj6O1tG^>c`JlkM;^b2*pv(ttFld#VFPJ_%9yKAJw!yC+|$8nEuH)w&2BXzaUVubl)
zHz`$h8w(1Ky)eI(rUeE<xX$xQ<IHBzvpVa`f_?>#q;pg-;2Dqd;eGKF%mmf;i1`i{
z^hsG*!DLh4-1Wsy8EVta6^K{0+{23cO)hZORL}t@FSkNl{>xM@6PTl|up-}AC$>4$
z>CjG4x4G3c%hbjU|K51UhQtfFPK#{%3eNdL(pus?^VpVH^@2inWJPqb{Ao{vQQ5$R
zZpTHY)46jWPnL0@*AtnPfdMKkT>E+M7;c#<L+81g+rfz@4vUv9o}xnh(`D}lj#XyG
znh5KF0yolkwz^~~N(EnGJRyE<jTtRr(dv-JgCgGBk<dX3gian1@D<)*Hq?{aOc{J=
zI%wuvXE_;GR{wpBDr7->>$)qB{^LhW{I@xzS4l8-NMy*rjTIFt;hY+m1ku;__e~so
zNRT$!uHz`mjvAh89BCF4LF|#rUsM}3L55rOC;xE{bW~cS)Wkv*ReiWzqCwPz-Eh_?
zZ-f&OUD6sKWr!g}D%Jg2N`zuH237D3H}Wcv957=MM|+MNKlY{&fl!VSvKYLG+-vA3
zc}W7z+<AGU`;`Vn*(&0rMETKwli$~ZOr=oDV~M|a{WZX=y4yidS`g`koxgokMh3aH
zGtZUbG{EAeTeh9OFygyO@aU6~LuToL5^WO%pd1qMQtuH#^sqv_p~Y6T{`rAhLJI-3
zaw~m8abk!OX?8s;ZyVZuE0&h?k^ouSUUv?pY(e#|@?Y`7N~le5<+<5s0(1vtC*=!D
zpde~_g3M7IDh{^KGve0(p>3tH@2e!y#NJyMMLsK|zqLttbWj7Xh3uTS50OSH4KwUs
z9;%4#Tz-GrHw`$~_J^doUl#eL<d5VotD&yxmm1?2h>%vKys&XV9=(1S9imgFj<Rib
zJ&Ql43D@@B&3%}xfV$4GM4#}|KnsF_R{|19aMp4uh~%q?u(O5Z<La8|;<)Rju6{Dq
zxc<e5<SU`%^K}Y-(<G#`F#531m<mx3?%0J5ZuT9=Zhx(cf@Uc3d(7!HIQC~L=$@tu
zGR!>U{i~9S1nQ)s%y!Vh|4aNzYK$rpsqOONIYmPSm-`p^G8yojH~IR>UNt1c`Se5z
zj*i4``d0_BXv68%AKr;%b>wjLxb5*uI<ipgE04<30ot0I)bnrxD)ILVHxOo^`CL1v
zzjk_XuVjs9@qq^V+P|msnjr%{FKNu0k~e@~+s2jzI*BMcr`L)~WFR?@`WM|SMj)qG
zuI%<s6AhSfpN;CFqo(qM3XZ>wK^f<zLCq$i)|MX@Q$}<o6!~nm_Z<c^ilkhBbuzmB
zqPgXkD-9k0cj(EEw*c;M3I~iM$;e2~BalmvimHrXgm>kb!t75M>rdy&DAP!mH}Me(
zm4#6RD;&(AyuT=LWhWUmbRNpNcT)rL%sqNNJYWWEi#&}-+DK^h(AmH_M?5-^vQial
zZw@i1s`V#1N$5;F$D;p;GGbq<*QvN{4(<y#RIqg-5}U8W-HuX3vE^ph`0ty;m&Db}
zr=Mz|o#Ov0T0><~hAVG6y?m2v#_epu+X+au%C@Tah&aM+*;!{FXAbtdtI6UGctpt^
zN!>drh~l=Ui9~I3FeFmX{j7)@x^_`~*58@~`5vz=-aTOkiLd<QeD|p!7a@~TS;`XA
z@!*g9Mu}#ioD>fg*KsJl%X{HA;RjPD!@);QV)MSf4V)i-D57sJM)d0NJnZ0=?qvIX
zQ%Du$S)MzkfO1yCjJ%|VF-3(bE@_-8^o*bMjWd@+q}@tgD_T=ns_*AJnxz1z8hG7H
zjiixmMR%K=_Z+sHW3D5J2+(GiZ6<a^0`*NjxZVD65jzq;DIVm5!IAiw9P(>1bg{0=
zqrPhydoz;%tt8R}e0tTKLtI7Byi@eq=Paw(n-{tqzIn#*?m($>&UOK`!1$K_EO-^W
z%I+SGLq-sJ@ynx@?L27FE#b6@+bUK(9VyrQ#}L@`zCRJK;Xo7R?4LM>SFpFijRpIa
z4dKA_(TbW-R#d-lukl^g70gX{XT%Oq1E@1pV8LswGb0!zlNi%wOl)IC$EidgEWF-U
zner?#J)7<AJ?)mT7>6fX3zK?)8RR{~pP6OeZoT|7ZRa8;bBR-~8`Fc1TLC78<C9F!
zHLby@&0Hm#X-`bPq6-gi$0o?XA7ff+DYvD@&0`aHvi<63bigZ5q2+Sy5HtDc;KPe(
z4r_6D^AO*y0~KNyqSJr%FjIo#@A=8kVRpOK#&$o^2I0KC+dnm1m}&Q{cb?0e#k9K&
zt{JLo!^Lr)wz-p!n5?&w%6N@uF$ZtAk@PGrcxm3yS8=o$yYlA8=Mc_W>`;lEfI5#B
z%()J36Z`ZWTm7AR=la|Xw*2d?Q};OrylA|=z2saw<`}Ox%g#TGS;q291+CJ7J3VJE
z_54RH#%bXTi|s5XW13GLilBpIu;Nts*cYtP%>UN6%317n;^AGK|7f5$q8s8kJ&0|@
zH>GkI&tY9x2FqT>Z|2P#JB^J!hOr%gg#Rtg&S4ztV`l_}X|Pycwz&!;n5{(rspRf?
zEc`qYdvl!%BYr-*;me~KsV}7W-QWV2SGIEb2Z;*Xd;OZKO@CrDf3$7sQcGCkD*|V2
zJO!AhtgNgVzcD*^e!(k|%NT)OZr<P_88Z4#&F9Sg!74H;^^C+;u|nHNR~>$lV4FTs
z`o8uwHlSA&J^W=2`zn|8ctni^8%s=Y_SnDJQs&tkuY3PtLTv;Rr=KQ7uN1Aw4bNc4
zc|_a2DJ&q^9rLrkh6tPoFOfR;&tYMDXO1tuWCeMH?I$ESh(Hn#C=>cKkJV<61eoC1
zA)c}xZRDx}dy;|@zuj2G$~F=z{uXn9-?lshkH-YCUOmqneR>(Yb3^+OWjhxX+J)ye
zC=lSj^oz~|r&h7tUdzVgN<5Gl-*>S*RUPK~Iv(j3u48RFqtWM7_`vBV?q(K?I$UsQ
zmJ-?6z)JGgXRf#iz=DtXF3u=Cq<cqhSF>Y<QoEi~>t-QvYB_!A76%?qXtS`m*04e5
zo(h`zV-aXo9G|hwR)bfUUi+AuaKQSnUg9o_7@XNvGdfCD15KZ^N|Z@X$bH(PO?bNn
zTG$)In4eW)Xi+Di_BA*B$I5aUrAUA>(bdA{qAGBmOnX%No)^sXZ$wc;q`=6L^^4Um
zRlsevs^w!9fMME!Gx@19(2VDt`$A9!Tj2`<%Kk#&arMtr<t{n6NbRvo6IX?77S$b;
zBoXL~WN<y+t^jxQo}mMhst|x8?iDYJg2o5eeAaV{oB6r1ZGf%{M<=6VbW^s#jd*Pj
zky#~ZF-#kv2dF~NVNMn`6A4I4TFkm1rwqGVIa{f%s_-%T&SZkL6o{&FADyJCg21DB
z+L8a%V6N^?g@&vQ3@sGr@vNwU&V*FBsvsUn#qObJEac$O9`#B2es%aJ${rB5iih8$
z-x*lWR@i=bSn%T~4RAXb<s_+20Op)r+&w-;*zL-t#4@Z2*u3gT`ZWy@@5Y@pbytFE
z#e|>Ai)09^{8~?Q*Mv5K1(|^7IJg{VX3LdGg*_Y@4W!d#@XGJJ^iEd=__-XeJWQcM
zZ~E|J$!RJ~RVBW7@>mrDz3HNsQFM@d^v3A>cN*BFZT!+V$3s@~?Zfx?Ga$98#%&^w
z0ooO^hLx?G`yv$3<0qm8dTd-J<^O4eA^YI=j-8wNJgQ*taJCi{agQ1({HF_<<CCoq
zo)dv0)Zk>;uLZ6ym%Lv_=)<?6ztxLUB=9#*A_RZgtnb8L;TksmHt(Ihi3J(B->D|O
zjMD<is+f$|Tqf{mVf<n1W^T=sm-f=^+U%ouE5Sz<;2g89EPRRrx0edHx4xmn5vwiw
z-1??K@n)UwB2wY2xyO@19~xNZ={klo%;0YDpSpY6RQP7p!FU}?feY&-mnJ@Q5W+{B
z2yFTPzm#_L>-$8oa^3Inz1AGaMSjP_k~VYkuHUz6Z{R`72d`C4w}6qR8&`K`lA&Xq
z<LrEhGDK%g;G82Z;HXo!!XYOT2%XrHK2fUxpWoj;W|D0I&H}Al3R^bkfC*2n&Pc-D
z<f@d{F&6N-wAfrrOas~sTKvl&2!r!-);&ub3wSg>_k15!9V(;G^}1~Oz+`RwW!khk
zsJnUna@JM@>YHtJ-TG<F?zgX|Zj3pwb}HLmAge&ff4*wH-Zjk0A5_OgHgj+meAPRJ
z$3dFyb+MCPQ%oqn?Cct0235vGt4TyfXbwMB(9E;SG!s7F`|6J=py1oxm9g@$qB)ko
zubmaSj5_?d>1hgU{nt&K2Bcw)tw7m!iUZZk8~fh<2(Z&T@k3s)1iXzX8zIYZqyB=%
zZI5>VWZXA->}(|lD_S=$ghcV6X(^KRqg)IsUY)PacpwB6<t3Bt_Pi+H&@q`(XaYQe
z1vHQSyinvOy}?$>i=;P7Ob8E+;ZvSuJx3G=>{a|!G*QWmT9d5<d_Ne$7vg;XKUo%N
z>iToyT{JHW6|x%hT{Q&Bb}8J3(-QW~8h3R+jTcc~td2&K4IxvqF9L`C#ZG;a=lIvj
zgQgzFjE(vkfSx8UY{#b`Sb5YF_JET-$Zq40?bLmJkRH!4|0D1bJ6I*LxJ!x$G0P^c
zey!=j&E%rWXzTOXlv@Y>TN^jJsnxA+;-m*38h5R%Idn34_}!9h^10ET*t3TY-_?b0
zrR+EEzyHSk`Cq-WP7*hAJ&;*7DX0r#huI=$@Z(G`;zkqhGB+wVQrjANN(XAD-#@MY
zGRf?jI2l^<gd5pk35#eN)`msRp77hzGfbQ3P8aX<@F4l$igmG@x>NM2EDLs>XYSvn
zuk`K=4=T-(vCU}Jg06-@We2_`rlHQURUHXl^uy^-SG%1SD2~+fH|MM{Jq@Flq(1SY
z#x3?+@vRIPPpt^g6<ufc)7TECF!>Ne;Lg5FyBXl%F|_?w)CMz{EzG0t13!AC5z@jp
zL<i6K&YHA27UX=O`1quVAUfR7*-;uq2d_I`g>N+3kcsDxgt9Y2C~Uk$F_M=K6OY}b
zc#g57!NX&QHhdze>+{vr`?qM|_+i~hv6cg=%<m3vo)ke%I@F0EYZ^%BWyU`e;zE2B
z?WMyLqR3Sy<Sf?|6=wEnowN_<Mv68ZHjW%y&^e>m=bmhG|NU^Sgu^lq>ak$aZ`Bn?
z@&c-izdNZAV=b&IoWX}k+FN~0k|oehB~CRZ0V-^0n`sVO37}6>L`#uHNrbBwt-PO4
z0pWYAuh(RS(D1_56OR(4(XFr^n{WmN=7(P1Y3C6^0})<vIoh)5;nu5b_&zcm?ruA<
zEGddA@ecibJo3muCGB#;6*81brF=}*7elet$cFrHE6Qp<n^k;-4B@+d>(&Fepn$l9
zoyP<eQJa6&+R#oi*vH%te%>UG*n%>Z^)!{xA&an)x!q(qrpTY8q#=nm2D(%{J#Z)}
z+N@-J)6bnYqB3>wN+IFgoV<fY%BZDXP+Iv38S3=zS%0&UL0yD1W3)vT^u4Yw-4jQF
z2x<3EH(2Bl=P03B##IenVJF4jsi8nIZwe`~OCIGBr@p4X$0L79-&&kL6><jSxdfXO
zP|H5KsznO|5_JeIv8|?pwT8IXl9wW)Rg@=Pd#-_s%gwWbEohMIsDx(?Rzgqes@wOO
zXrfo52cwGTXy7AJ7P_8_LpBtb=F3$iWHG05?7|B=)bSK3l-yND-45$Uq9PP@a{pT`
z_XiBf)z8>7-Km0V2yv-`1S<N{Upy7lqy^0N@d)81Rdj@Lkl*?d6}{BYC~%+F23XuJ
zxK|dB0&&r)I5ir2kZww5HP(ePS{~h+p^hBs_t`#$&``Kr8{2sCrcSkHsRc#^G~}G0
z_co7){s#a6|Njh^cRbZ^6vt)nz4yNMxYxe82bYFXNukV$$QG4Z8D%6HB@tzmhE!Ih
z??dR9Sw<ltWS70g&;RFjUgz~ZpL5=ykHHA9W0RO3yzOq-xT>mv-umaNh@`0_{4Y7d
zfD$5@)yWZSsTI+ym(E^rN*%Eqx`uCQ8$jlQ{}^wDA~M5{D&87bLz3V6A5qjB!jp44
z?4NX%&@I`*#&&%*bdMpeAxjuQ^g5;YP_hzQ3U-ZD{HTI#>LjM(S^(Yz^mI3tD4|{=
zpV-SXC1iMRjbX^$2oB$V$@1`)60)Y45izw^KzVPspX^N-K~2VywKQ!d#FU1D4Bq3=
z2E+8{U`u02)~b_Oda8&Fb<kH&8X5Ha0xm-Rt}#gSE%HnLRzM2xwIqqAlIS?h3|1jy
zSWZ8Z<FP1@qQif9&Pa)&O^-sJopxiGN`6m!tw#>6o+lq*+7&>=dNQT@etqQKfPS63
zIOJ03PBpI0gAT@>tG<|R4BZnCQ-2uBBISh9mCQ+Y)NHNK5$s|NvCMav8@@>+x(7}_
zvo#peJm0MpCSGI6zpRBO&PkzIBTaAFXH@7Z!O@8ZGXgpX`_%Mh2_*2kqNUJo2lFvs
z^8W6${|?N@*5u>GQDCFvX5Q&#Z1bh@$G8oEhmrFby_qPg7J6;<*JTRp7&@z#mI4qH
zyH_%hBZL^LwwVa|1DJUE<=$;cfZ%Yk<45@fP&2V&tI4qud)MfpljcW)C5wR|ni^hY
zcgalGDE2PtbS(?F>U~3qTzGbJ?glrKb~uVp`c+Q~dK|lS=92+DRu@dUew`Eb=1{XN
z9d02_w&n(iZ0Un_ZTCUmXYA-jMMw?($##;o)*VK6ygppozP3lR!-A9zjWK@7Hd4eu
zg<-5e5n75ce9tB$dUNf$=wRU|l9PSCd*&NG2=7g7`+S%l#X8cu%|1b-wnoZe;<hei
zHg@5hCuz{J&9!MWqgSN8K2LMI!@9836T_F?PKA!)<JmHo(lGPbkH_nCbO1XT=YDAY
z0Q$S294EM4gZ(C{v74=G1GV|xV=B%R$RmV>Zi)06n{tHQa%*kKJg=>Gl42K=Whk^M
zsO-WPOV%9*%e6pA^!&o(XWLlb+~vmj`97>6$1>}-kQQh~(YsQVZ(@1m#;bLP!&pD{
zA@jm`O~_hPt?J?0zyg+c5;QwUF}uA-fh(&TaHLDOgxs)(1yzMff1#bg*wZ9woxC)F
z!F}c;v3eDo;?NGPIyj9rC~EdMj1b@&=doqq`4vp5uEvf#a}L9%(roD+2oPG<O13|{
zf=O9RJUzQSkICcpj`RJ%1GBS@qapJOmKm;kQLuaw%Xz)n^1~4iMa0QSq3LDpzO8c@
zRph>YB5se6$JOCWwC%;h)n#mMxH6yBZWW7sQdLX#Q-_vDX)8U|6|AQCQkeGPbxf0J
z_vp*E8k`Ilq!~+J!MZoSGTUr6u{!HGzF)~|aMU+9*+_B~qmFyO>=V6>Rp7}oK@w`<
zqqmxr(!Yw~O$w^%JN{v2E*1`S!KzSw{PXsmcWanjbEw{uBn29pcj_ZNQ-QFcr!Bb+
z>sWMW^TDH`2T(az8E?dtG8`}8&PiC^!1{7Va6;phXz<QN?>}W__!{T?>eY!YjACAv
zA<>^2rLzulkB2G2`C0UBW@sDpe?ZC4AWVz?lGToRbt*z@Qh0La{eM`Qo*=!+A3Ah1
zMOtG(Q4t>Qyq!&m-@|M~Xg#DS8PH9sncl2a1&EINt$U}30-eFjo)~6fM#E-BiQ>ER
zP^EwBc`hX-D!w(P@%J1niki6+!WbeCia(ervyW0Ci^d{n#xQnNW7agqxh4nfv%kq3
zb<{}EwDZWTAr7==)=@2XT@FP2YQ%hx(W2qbJ-Fq@h1Lam^9~Bi!N$82aq|rH=#Els
z#CawjWP3!gZ2-f;0Ij85)gK0=m189?*w2fK!4vsh#KC9IF}&^`6Y9Mnz#7}hk3!=t
z!-sWoplK}}CTYxy2Ab6rq89}brB23{KPL`2#f}Q#9NE#SqTzE5Mk1)Do;>-H0tYo;
zXx4sIa3F&nnH1C@h7@)wg*NDLkmGDyL{R2JjYj_&8W1H==1iT-D@7axMQ?V>H*up<
ziM9xdSCUASWyD)N00#wX*=Y}>c~OtHTak`|G%C_b@{}0B0e`jMBYh`+l);(VwKpz<
ze#VLSsrbvmb^vdz?O8#@b^5|(h9Vpys$V?ittk)e9?t?$vM{>qUFuj7CXbGq$=4?n
z6hNuqo^R?;QN-E4M*Qijh>B}2FEs@y0xp%-W4S~eReor`d)Y=AO-#!4TwhUw<yw#B
z_B9E_G^6ika6}dL);xc~(X0a5o4Sn`Pe`E-sen?c95tj*{;0zmss^G4$cna38jUBI
zJ@dY)j<~POAKI)?hq4XX=wMY@<XY>ulI4m=+srML$D|36;FHXHYJYBrbXA8%5d!Lw
zsGpog8qn^s@wc0ApD*k=j1S)s&~nzG(b)toILW9Nc|S@4`6;vN=y7YHhZDu-ftPil
zv1a|mYNsN~k61A-(AGd%2R0>d#p!{0lj*$J0cEr^;c}muO9S~at@oD}>Vw3uW8D?B
zD(HpwNjAtMAVZI>8wt&Z5Mo<H<=(4;WU-&w!+m%ZLU!@a_W{V?I$HGptSWN8-9+@M
zS4Y8~6m8x6oVC)*bPz38MLwr1PkwP$Lp(EFUqX$I;T`+aOSkW<BELZDt-!0ws9Et@
z7W^{?Bb^()UV5r1DWPQO<b*u>icf2qOfiAI^U9Ic2`cD{3fc7spDfZ6;NWXsHUT`n
zE<qz%8J%QhFpx2jMD-0iBBF|9IN|wQXXvmJ8W{<`IIu2^COc(QH?+u5I9K)XNV@{!
zO0}BvoZ>-#3{&>SLS&c-X_%{)lt*2GPlbIqSkd?XsVMqk6JXU5qY|^lp{uK#<F<uV
z2oqA5YQA9thX>0(nO%}W(H~Pn%|@58h2qLj8Nw#;bgB9e&uu9L5B_!7EVg4mzu9Cz
zD=>z0w7LmQB@)OsHD)<0XOu*)-qUcGGzMSsjsw#V#8B(ohf}kO%Opy@N^YTCBk-QQ
zm6OjPjPhSTxU+b4n>0D7`dX6D2o@SnHC7h!Bkp|J+Y^x#@Pqg}Y&Z>ouGVPI;}Q?L
z^y@=lcL*iiB&>a%<p40dW}(6x!-?X(ly>!NsbH@r^iYff32eWNE8WgyL&kOW>oOtK
zARE0g*QjR*Rzcs)C36{3*s5ksL=!cPiSSjg*cgE6Wb;o>L0aT`tw@ULGc`P<=Ki&D
zSsy;QymhsvqeNYf*Y2Tv)Uai$dM&V+2xmXnc89;;!IJutKjBQN!Ju94Vc(!0e4$y-
zIj*vXMeT@<tc*|r#}H>=mXIDiZPS^}I<bJwxY23ey+j2i>6A=@XLaE{BMFPvn!xP*
z>oPxZQbB<JTl0=rI&k8W09Wsqek|W{Hf8J`B`5`~ci^dYz=o^K*~YH{)0KZjd>KRu
zI*BQwJx<yXM5fpbxmro$?3~uLHKK&@kh{`Wm=>gxwqsityGYzK``1;T68Nt@$TXMH
z0!pFYk-4=Y(q2oU#hxN1w0r&i8k?#K^innM$Ct)Q1zxAP_sl7QmHl=42MSI2UG9Tp
zUz;YiI{oUmNTdWCY4QC3LNtKGNxa%U_b=)0RjL;Ylaz37@<&d@JOMQC<>Y2ZEs}1E
zU8(zWjtW$zjD_la3E;?5%jA-=OzJrwmEKBC4Y?69qZb$O@bKko>uA<0Y5ro6MEm}~
zgujmuzk3M}4NY?APG_u>JX>4d442SA`YPHLqQV35_sFbI$|h-c>8G>q8(MHa!y-kO
zt_}sZ-@z<pn`FuSwb*Qg4hoVVC%fX*K~D9-NNM&zQu)>Cyf>N*koKC>!2qd2MVi`}
zM9m&4#amp;x115?=A(Bj9Myos)ng%GlLB~l?YLe!F+<pMgP74hRTwy6MT(c91UY%G
zUprc?;P_d?*~m&22E_!lPPtP7o9R#%mpD6IxbYx>_K6BKcd@sPS5rg&x=D4RAqOx&
z>~`p2RDna2950Bnv|#>5Z(;N@CnT9aCE17VbGbZ}FW?m&Jn<+#ocDzbjxFd(q^>E!
z&2(euC$<bgh>Fo_I>-aZ&K@vKx~c?RDCntxBooZ}1tnUK@Php4hTMGtB^dpCCX17k
z1zt(h<1KRd;p;B(li5c_z^iU~&MUCNs>Hd5(nvvIk}=>pAFT*OGM0nP)$FjsD*nkn
zUKog)FH<CrDMCE?wo>#G2S`rhqgJX!L1rvveo<Qy{EB}^M4NHJh_;*I?*ws({TkX`
ztE&jo4=q|tE4bk+gSOexb_vj<)C=ygQv_kf%iO6(yfDr^_fJPw3Rb7Ty3b`PLX=>C
zbjU0peBm@ZEtVk-f`52ETkR@Br8dn!&vF5XD)V*w$|DO@Pvq(z-%^5;_8$K9xk8{m
z<Z{Wd1P4E|Uux`{D}!+5g*>k!5zt!<iZ?KqhuSAI`TrTJz(dtiztJ`^NPIlKYPGHa
ziDAC%=@(SNqy3Kj9K8h4*YRXHJW&F{BcCt*xu6F0wF*)7I+D=Ks_qwgLIoz|NM`nA
zb!b~1Ea?rF0v`2Rhvr39$gkuslQF`>YzW1yMwK*>PKGuJ)b9H^tIPN@Hv%L#Hj-C&
zW#ISrcbub_I`}(pM;g7*fHfn%N-;AW=;k@TYuQ!@XTA065&<nBa7Q~7$IF2zWeN9R
zFFf#%pN;$RR2$UZ1GnEhd6+j3^V4~b2k*N}ed#v3Ao^Dsg1#w$l~0{*VHF;(QBV0x
z@DQQRD4v79R}nsV<k3gn#Dl<xc9QFeJ_wCx<(a%t0@~OWO#^}bKJG#<sh$}^wVjnh
z#0h0Ma^td*^?7x8Ca!Ua3lD%%&81E>D8t~$ufOP$8mNk2_#;kX1j@1RZ)mM3!}4+T
zxG7r&iaw_=%2gY|@&>OqeoPr&BwIQ7{8j}1+?FXO8)Ha+&zm5bq6~83LgaH(a!?kQ
zc3iY`pMzd`uUYnWz2p5i!57JZ|KfJp9a$5Qb8tQQT2u*|l5Hr1lO&;&#^A|gdlN9w
zmi<j+RfH!sdK81LqL6b~=S`fK3ADNL(|m1{hs?;^5{6&-VXN|lsNjD6n?%d*X*W5z
z=@)r&*OCh+Eof6iluSVVo||#WPg!v2>AJ;I!wmK!gaYR&V^}qzzo<i&0q!Hj>O8^y
z``=pH(S64ls&b<WiI1e9Z_TIgS@I_7S=mD6ePv@ftBVux`X>R~G$C%}t{Kv?=oaan
z{Tv!rpSwtQ5r?+H=4aLi+DQeIpTqJjj6k|4{LgNl2wb~u|ASrn3no%UZ4>+rfWs@#
zZsf5b1dqD4L_HtF$no}Ps+|F@2J=l?eBlFQ0-576-yHT+=*6;34+*|C{N>_M=7ABr
z8%J2@7qH~zBfk#)F$8(FQ03KHPPliLcjV%SCCps*1+O`?A@Bsz-s6a3hc4fch`2Y)
z7`HcX+@87te83{<$rH@rk30K0d1o2p_ZgRMcG3sl`o--c0t58A4^pHzFJm5SdGBAP
z5#dl=6)o!s4R9CSrK=(=W7=Xq5AV0@LG&_NMS6mAUk?U5pInx(6TT(^#%y}fl;kJ&
zokRi2{n=Fi+!wJlZs%Wiwz{C-P?2-GeVe3vJUgqxdI6KOJo7rPNC(axJD1J)be+^V
z(`n)r@E2Q;o)-<;)CRW%;@1?)71B=3ZblBwVPVPb?^^fs=KOVV<oU8dy3p0h${;&~
zg(Qf%n!VP7p{Cm(>*(i5L17lRB$TGG6*mgTTy8D!VGSr~#7&awb9HJfPETOzAKB~g
zL})^I@X))a$x)K+gNpF?mE+hVyOr*rDGhM<3;#6hHALcE5?uIaJcd2YixZEs*8njp
z+9Tmx-$@qHY!C7&Mlt52c24{q1Q1JTvUGFlB6YpFqL({Af_ZP2*<_dzU~xA558X}+
z$)!QPSD0-C8<Vb5>1e=%!A4zUQeXp#`S^**o3%sOx%gsokue_TKHtc?HC91VwK>l*
z^7bcIoAvtcc9S|h9#K{FJp72{a&w&b6V*@brcR7gg@rm$Q?cwml1;!kCw^88JQ>99
zNF`QOe^UdB^6t3ZOV6>I|D?QVa|f|+dl{C0+|)p~Fg4H8p$fa9-e^%eGKe)t5rZyI
zslul#!^)>c5Vmsn{76T@Ppl&@@tPQ$Dpbled^Rv?#Oyn(KXF?OVIfo*H;RcWkhO<<
zOQ-oCmQ&jM>~G*O#!&z!6TZr@7^5HYi>3|h9Mg}s3>?7}kjJTaMN06&Ter>lQztfP
zHE{R-(O+0xpr_`}s3I5@i5EX^{E8{{wUiFnjAHyhoF#9`C_=FBF8<2PZtP(&VIuze
z7{)!sK(O#tfZy*=RGJp`Vh>r<j-?KaW6{U|xd_$B!-t^;|A{x>F~#TxUvK9LEO{!m
zaEM7BUVnF~=l$7_by-qHuyapg-XEleBF@SIuUZYmErmfWKhu4bd1o549#YmDti!?1
z)eu#_$3s{ThyC<5p*bwkdVzgL1P5lnj!T>=8o>_lMJ*66{l!eB!ylwymj%fv$JRlf
zQLOxMThWok1uX4@mO{&{46uDr{ozwQhQT_lP46sXKT7bU*X?D1q&e_O{>*QT@RKcS
z<?b@Zy6S$Ws#O|3u}2AB*O|n+3K`&}!z$Kr+sw_wSQ<1`el;4KOk>IQU()=KuVWu`
z%Vsm`q<}_UnZNkzEEcwRR6-$q6T5c3NcE_J6jbN-Uw2#kgSm4vGHmbX_-V;rfoJuS
zz>;@C*yZE`Hc30ezIuHZyIT+2jYlM5-M2IFSl1$Ec_(Cfrji0>G=&$m_DO(?7rjnL
z$TC*bb>>mx2}<NwSUtaSK?2^9?@-c{SFwYFWV<jSYBcjiZRS3;1l$(!X3I8O$0{j1
zx({;EqDZQYERF(kNS2MUzaPAb=?0{gu9E1H>=56>p9jTZ?rS1f-tac2wsobR@(Cj<
zBDPd(Pl~~{Z`$@fNxRsf!@$`9D;CtCx|1YnB?cX0-D6Q01+ptFw{sI^M`_nE9rtEY
zu-*+ZHgTauo1wG665n$mpDsd`t+gopRHmXfRiZ{xBB5MY;<!+&;Y+R26%p`BpzryE
zqeZz&-JluCgCbIOTyMV?0TpI*a~eB(RQH<k{pJ%sRGR<z&6{KqDBS*mFRN!nHuvst
zNHPkd7FTA+lq3<*a9;X!!J7s7<(b>@JQYUsbTa><%SGU%;Je}jO6&-$E^^|H7eiTh
zrPlClqR{pD^Ebo)IM5f3^O=k`5@=6k{NDFMQAo0ok)*iAg<M^y@08L@p~P|`i{n)>
z_|j)|=lK47TV0)=yra@6?W3ODNn3Hq{>CRFki&<R`KV|!M`RI;c*~Thm;|)v-QSy;
z6+l6y(Ke^3<k6#<&wsciB%w;#udu^U7=7}MD408_hy;qFLlr%w!18L&%7Tm-GON{i
z&{(33WDhppPTG_PRxz*0e0m8~_ulXZVpl`w=5ieSCuG5qlPM_do+LWRqE;zst&YrO
z>L1YP$%96AU`M!tG!nh)dm#D_9zEtg`sVt+f7?EM?6JhU3_2FpS3J^4KtB!%#0eUz
zLZbfdU;zw=@}}rc*9>c*m2abC&!g3W_@wpV{4II(PN)6mdY2|Tzn*{S<0Ar`u$V3B
zv{yuAtNKX)TUzLc+7ho8r4}6As%;D8RYpSV|I!C{w9r%v&%M1Y9grSYxN20Pf-WQ#
zH2JV;BOWvF3l?@nKo6=H<~h~SFE)4nu?j7;q+Zn}u4D)@Un1IKpQ|BOYsy~E2~Fho
zVr(!V5@0ovtgs-Yj*xeS|G``hgugM96xD46N5rSaJ~*f&tq*>jRHJy5J(~8QkKP1M
zRqZ@EcwQZ~U;}ayjcQ1|A<EN|jSLCek<sUg>PUTCr*Nf431v^evMT*S22r8Xp5<OO
zB+_-WS^pjmB@i!Wkv&a;zsi!nT~7^t;Mrl&a+X9a4_cj)%1q&rD^8L)tb*`+`;5yM
zM4?-2EHt&Iz$J8T$!|jmQDysF-y(7#3qnpUImHxeSDC~TyA@F1?Vj6(uMeQ_Pvfs$
z)-Z(}8?oR0F>*-bPVwX_`v7M7*(2;*H5u4jlr;o}WzkC5_n2E(7D-b_`h`H248O!v
zbq>CiLh~g$M_HXIL6_CO-6Gxu7MdRH{xFq5rxgGE2=8Nndh^Bp<`H9<ld)A>92G%j
zW#x&Y{%m0L{H#GD(HPhTXR)e40c5#7>myyw0Utm8efuQa2%b8I;#A2zC^IZK)ry-7
z&T#fdzTEej0h*6V?XDc?-a1(@cAg6i#Hx<}^8*OVVemhc!-V_?`ubVCxPfk{=7wP#
z3C2&VR5@_bple~R-YE~b;Wz#1363^Hs3D|#DID3w@)S1y^5k;E<a~I^^FafkE|VXQ
z$ymn3TdGv!qPc-xb)^2+jy_17fpw?fW0+$8q4PY)xnWzR+0ac<A2xhpq++@pQ}fLV
zpBCl@k*L?!Lmot!^Vvx%t?MVvj9i}1n&pD|pEizsrFt;5ys&W&n<2HGA1ZtCkqd@m
z#GP07bfIp}?xRcgGU+$pbv)BEE@0B1wYhOd7kbv><!7`uNt={h%hr#%Aj$+MM1yo7
zAWt~D(tMY+)1P!h<`oy{i3YuESJHtFeIw7M&;yVmqMhX4#RY3Q3NG%CwBfp$;-Abc
zDzISId~lY98=S0}7JNjsA?xaq@riUA=-JW4GrDp^L@K)TG+zri&c0``45S0+i3F;h
zc5WEeIrD5uK@0ZAODZFD7~sl>59-A>Jkb0>@`T}gO}KVylJn{UBXH~LM4VjZfjQc9
zXESUxA?)K_`G!1Zxa4?-Y*fYzJ6}#vajs~<>j0tu1T9#>^n@T^dK@1lr(}Jd%+`QJ
zkt(x+EjAG9NZ0cY;fKF^&pho9YwYV~$H=>n9Y*$?vVKGhfFY-odEFiXp0y?zXujhB
z0W)Xf-$FsKNO6#e{6K(V)vV3`9&y5FH|y|>aUt07z_IYg6X0}Ai1(j#E}#ov?R#V>
z0#~-Ki3!*eAg9@JNaqeWuzb7}QTIj^(j&gUQp6MB)2Z^eY!7(gx%kmMIdO5Qyuckw
z$4>wSYJ%nCH@xsXV>?Z6Ssa422>37t0_aE2@=f>gf$m%3r?X!rprgO+u{#|B3f=m`
zAF>L-zeoOR$7&_v(yN%O)tm&_TyxISvJnJsf3llGsT7zs&B%o)5g;YD?tM>*5J++#
z#rmI015^9poyR8$pyqF0V8|u{Tvxu=9xjmqv&5^yM{W~9)&EykdyFWAT0Jirc_9l$
zz7F4f1_(g)>+6aNl{i?m>Cy+3;XqtQrD08514?JE+<n+04$Kz>=;g}fz+%{cp!BH*
zm^XJTGvAW{6S<tg)F<)~a*@AGN?8-$8V5wJdPqW`R$xxT9R(;CF8P+xqzTm&!>N~b
zq~OKPwQ#%hir~;chxG?)!AoO(g`*78z;`I356LKj%AHWdgX-F#TF~>a{hKt<xq61G
zeN+Nl&c(Z#lsce|D_Wk)m4Qt!(|<d<`?>IE^T*F)I*`gX_|4#qEKuUF{8t{M41O1I
znlfFwprlwEFUy33xvCDAtJ%sx!+YtySc@JUP#dxA-p~K<;<`@WzM>3Q?kOAje<Fg7
z>)a7vf*fSLBu(59QHJ#URnp>3`p|at;4f0499()Q{qIk#68t-;_5rIi0Nd)59FrSz
z(D1v|^kSJJT+l2K&w6eMa^<-AXcc+5;D<n=Kmj(j50`D;BtdM#<gp%Od5E!%7>zh9
z57Yj|DrRy3u@$b9aT@Ya7*K0Yy@mt)^m*woQ2_7wD>Y=P<iRMIf>GR4c7H#)9rc<4
zE-jz;H+v-q1s7u;c_V4ylsFiz^$#Fy=J@bMJvj&nC3$hNNWtenhm&}vj38p~=q-gO
zII#T47Oie40lu`3AKSH!z;wm_#j_1r*fJbjHMJ9i@icifPBa4E`{7*Q@v=~GxDm%8
zEextVuW8-XjDX_Bioou^53PKCclC>;04V?W{_$&GBRCfOCb&3A8h&~d9^Z84g?lqg
zwP6bYDmFPbj@P81HTa{`$uTa7Q=}Y7zyMg4+{_abC86+*W{v)94v44hZFm(2u;eKz
zXPzbjq_?+C)-&1QQEW)(b27lL@jZU~9C1)e)b@Pq#0(6h&nUHbNRTosrvBGf3`+Rh
zLhUOVKwrc?WW<96D{8lxx^9Soi1u}-ujzD9Y&TNT(`pEvxM{udHX$g-sAtG?G_ZwB
zwNh6$g!C)<|GiNV1lGZos@=ELaIYK7sYo_}QzI4M#tZmiHb1OHWS9!lrn0`a&gz4m
z;MJ|;dVFw+Xs0c5mI{!JBXfqiKHOYn921`Bf$kuln_74(a1LV>U3fu+nT(%?oele(
zptj!1Go^xocD=O}b|U-_0096043}qEj&B&o+k5Z5_k7>>e$J*ADGj3(T0(_TMp8yf
zB9$T}Aw?OH+54!ZK|_VV_Fh7JsQmkQ-}jg6IPUAZe&_GbjE?)E=Ypu|OpJMQg%NEn
z?h^Bd&2asFnE1<T0k{U_*GvmBA%29rEw#rKCk-<_W@q^^oPXb0u969An{${RtT#nt
zl~|9b4L=qVGUtS|nPI$eKkZbx2^Q3bkG2=`flI&D{9_smzMK<&>8fvnme2h+kLvIt
z|B~f<#Ye2*`Ymf}^w1cO>bZ)|vv{E^8mUG%#D<!%54Az+#>kUCZm@@$7ktNW_^z09
z;G17#4SkUjf+m&5Pv-H!?QcS4WHBd9IlPZisYal)T{(Ai9}g7m4%~CG<VKg_!cUpE
zh7eHk36TlnL9dJJINK->>V~<lEVvkAgA;whrE@%3f4zUmc?%!591g3W>M;QMp0l#5
zg$K@e^8$0%^Fwl-rL)s91MD=lSgdp8MXIb|-6jtKu&i{SfusRU==XNb4Dw=p<3YMj
zp@K-enX9S#ULQ&->{4M~d^ni!;XvLcAp}%C%=g)+kH`Q=wVZlBFs^*1dVUf{<#J`Q
zshmDu#Q6=Sd-0>0GQK-jN)+$9<Jjze=;4E!XY7G#e!QX0&?xa@NH%<`wR&9-7Fvo9
zyYC9%*`W~m&{c69(V!D#2-d^r;3_I@k04Ch=FZWjN#eiC)WH=KJ-qAhH>q|I!bFI<
zX1=8~^i_qgJQvnOgoyRoHX~s~q#V9lMlTC{@f{LOD^zeVX<ArYh~Uduo`8IW9H=Fi
z{X2eBaZ|A{ZKIDUgyJ%Eckh-*X7fH5r?vYFPAq(SiDKx8abeJnP{1&=Z2#V6Dhk7H
z-<W6+$Eoip>o1;Egp={~<Owl7Y)-ed_0*Jvm*2xKYPJ$?B)imB+O5@ZP!}|jBZViI
zUl*CYR>s?)lC!Dtdf0xh_FS)m4E`H0`mNZbf^Nq-=(XrU;3(a@zBjUn>wN87&Z>qY
zieJocV|@fVe7wj0Ob*HPM~c|A)sef4-(viUK6JjOmmW%$$A;QJq=t(IHXm>~Cun1U
zoSjK`Q}-)CqWi$seZHF5Q~#r%Y19CpiZc6ceH4))uM~i-T5u|<%pJRD2*D5YzgVr5
zFlA#9;bEx_S9kG&ZO4r8X*t@tO+gtRmD-Z!E856US@*^`$QW{MV!;{=Dp=P&m9+7S
z4n$uK9Z1+|f?iYSqk`X6z$E0UF+Qt<!oLI8+#*fU(atMnnX3xx**J!O(z<Xw{9(Qz
z$qXC@H=6jp)j+rn{*`3bg{A1^$hC*&xPLKgwQoiZ8UxEV=kMvj`SY@pW0M7Zdh^yx
zMXRIRb-&8Df7+nAuWyn1ZHXm;W4~hC)seSL(!qyc8#kY(PKz@T*mV7SZh)i)-kev~
z3F*=V+rhk533@;{<@?x(fd(u^3N9YsxArbypc@ng$baxPa8S{JOK)cA=tni|U8l}O
z{~f47Twd!hb!f9rc5hx(flYe<iyP|J;Mr|bMNL(Q(FX5cK3-)s#NK~c5Mqs_W?x$~
zc6F2l_tJPo6%n(w;%dNUYsl&(#!dRGA+5-+TS8VIJ7&xR+U{9nuljqM*Hu+0RyTHc
zhsa<qSgxn7z#6T(ry7(?Rq#DFFk9li1hlq^Xf<Y8gMD*Q*v&V}Ab&PTp4}#j@M-Pu
zdC}J3_^$NN@R<_siCOh8*$TmMB2eq7vo#h}o$mYQD&nDLOv1%@exyWs=U(Tt##~Oz
zU%NyF{FqY~nKR_Ua<I-7htEL!t%Hd#Bjl0w=u+lM2@a^eNIQ8o9*FX%XI|VYheK1@
z>a`D9&@NW*a!3z&Df^Sf_qq%QCyzfp+sBCiIxZ;lyd#i4^lRUn3@OB4yi<}?Ophw3
ztG{;e5nz5cTGshM0?ubGB6%6;pn9h&N^6G|MmmcmceRUQ@jT<)+3PC=X_I)<@`)up
zwrAD;rzMK6TNfR4n3sv6Fy_h?dP_X1>lp63B@CT!E5~jr{Ux+V>~v#2EznbYK-0!h
z2t5t{Y|Y(E1oKStzVi>v;XdnoM}0y7tr72xGi3h~AwS&Ap3<9xA^iH1{zrZ^ip1}z
zZ~RMO=|*~hpBWa1xVf_`_^?%ple(*WnQ+>zS=RB^6p?#n*2ll)#U|kg9>6NmHdM;8
zS<Vz=lJ&NYR37|#95c^8{Ezr*Hl#Xp&IGaMOBF7CTo5WUIC^A|4x!Orr)s8+@tb)h
zU9g@L!w2#XKb@k-ypz|#p<Tw1QaQrwFv@{@+hfj8i!tJh+Wrf^-;H2$$M&m~83(eP
z_1?C7GhsG>dCA1x2wD{^msei1L;thZ-Y-SW*z2RbC%M58zA}m%&h2K$)rg?}F;P~q
zFPu*c-e?FKdlZpl%Z}XU&0juUXTz~i3440K8o<`>Z$#)icI>y?dF_@72RNL!Zx`EX
zfVZy{SA!0+Blyuit%cv5=<E;KsxzezJ);75|7v#Vgk;FpR&ql;r(<sYIen<_Xe^E(
zIPgT|bdu)_UJO0uFDR7PhdZaqL5404FtE%f@ecA~&w6vg`1g7^)2E@|e47)33$(UL
zIsx=`Jx!Dj(ZlqOZU6NoaY0jLI?<LQ2ziO)g)IVlD9z;mdLo+}0o@xmpNSH}e0HV{
z#|J7JZf1HJH}HU=<9ef2qcA$oOFNsyQZbnz{rIO4A38h}5@xMMVJtZ=Gh#)BanSU)
zr(gMS;!Lu?LW3AA&;0Fq#Y)BZw9zBXkNB})^4CG7LlR)t%N+~)kAmtsNBWd30Z0^_
zN~f4e;e)x{23jcvrwp?~m$L=I_(qn)QcMP_>z0jQT%*8Q#h-=!sSqU0QypeF<dAK%
z$h`Fe1-5KAvIBaBLAHB$KN6G2ma_cDA4wFHN2qh$P!q*X?P`4iLj}ah7cwPXr9kK6
zyLiJj9#vfkn?LQZh+FJE_y2oF!O@PKqkHKja3&!+bRts;u`a90TY4#YTKmP_?6M?|
zpL|r7{hu<NP1b#RB2UGMKs74^Gimhw)PF9ktcpiwKR#w3rh-;2922o5gYZhmRrAAY
zcu;Xtp{|#T)8EFAP(tOf<;H^-PioZR9MW`UG*AzjW9FirzVi5C5jUePs)^+cH}U|z
zK0@tZ?a$kyfYE7ref@1(U|HHVmG)8}bV~!7{=SOndhstoAVnK$_0OZ|lMV2SUw6uH
zrxFHd54bMg(LsoOMPyU7A@<tdPPPwKhU1$}Y?7I}$n2X;G(BYmmCLQnVqq$1GyEWU
zQj3D@<$AfWJY%?=`{Qo7OBJW)`!g3JDUdYjH}?9^1QKR%B=&7kgHe6?Ezc_y9NKT4
zk|uA4*B6`)$f~F#aR2VJ45<`QGZ{xW9WqDsw1a;5fI5~(5{@1WprDuHNW^@$KruDz
zMQnlww(pcA5}7He_(8R)leYr<+(rJ{6%Fh!&>rgjtAl9f)^wlU1irq0zByupCQd7v
znRI4qV-KRApIi^z+k0~;eZMB&Z#DI5?AJurse_En-vITqPMi+|HL)^f-H^P-nG3ZN
zD?#h6Q8}m(@>oR^fdZa(rq!wt%uH9$d1MXOPRUODmm0Xf$MYR=Tp4_Ke5&uwT7&+(
z%9gS<-m!+KGA=79f?HUr>YkDf;*x6F+C0@EKXIux=#v~uE-Ec|nAzaPlNhBJp=!AL
zc8I>1UmDNkP0n91wZSewKfYi;RV-PmCFp+=gI!nH^N$KPnA-W{$yrkslqjDo&+imM
z^L6e5%Az&$nRUdc7?tr%BueUvCqI@W|D7$PSws8&O9WObVsmR_ht>fuSU4MQ+#X|%
zBI`~){a6J=-7Z}gkYt4+t(B8)ji;t1Cwaup<PkU#>!o^&0i%trOJ2=@|8!BL{DLfe
zKcx-X46YDviITNxYrIY~aO*jDNg54IT`#KH7l=5D)XW1R;6nDe3!j}N#vZ>uGk1EL
zU<qR;+=B_+edd?+SyUWKoaM<G+J6ZB<B7%R^Q>T~F|V_YR}{L6=a1_?A15}?Kjdug
zwuG8un=hNTFl1QRSNm#5h&_padXLFkf~|@!h4p|Sa%Rd!F1Qa9MciV3(K{{h$N#X;
ztuB5jhwP0~<r*f6Ge<Oo*0>Yjs}Zr~03VFHsxB?PA11s{KlHdeV+OO6nRDAV^WgQP
zfALwiqeR*Knah!OW)M)%jrSDh!bE#S>ABtG#NKsUQ9W6vc(GT~M@ftW@yuG{j|6`a
zqyN-*E=`(1WOv)TMPD{dOwXvgrvD+Ty%&|r+)VIW-;n8RHw)NOhopBpPZ6K>^#a(Q
z8iV@r+@G=>W~d!rDEp~2L)>~%9@!ygj5~$<|COdP;luTzQ!6ra#M!SY;_|1Bz!V{P
zOW-*plHRIBT{c`G5+4X}`Y>$>HYwgZZ+1pxq$O)QhAa_n<4dPrhpf$SN~eYAc?S4V
z|J+b2T_!>sCY)xw4N$Q9_obd51Ck1cRehxY5z=N8O5wf+C|TlGj-qFPm)ERu;uku|
zM>ciHcj}`eAjNWih8}JSn<+Y~4B-31xx&9wAO0g5;R_rL5VJ7Rj=#u=n73bC?Z@>X
z>+r~n-vC8Gy1#}2+?TeuzTsfTw|#kjHPLI{aV^cmIGX{_G`Md2-eiGv(M9884n4HZ
z+eE+OWrS@&?}(Z!8<vz<H2H5+At(|eX?2$oY;^*s6+}7EpgP_lXhDTiG^;wfg$XaS
zL#~`=;KGK}snou93R=%@^uM6ZjPoVmztQ-4uvtXY_E{VST2;gQt>jtIP`5eWT!|0S
zeV5|uG$=@Ea1tyxWQCKEou1{ICk@%K*G-q|;&K%}neS!8jZ4dHy*C6ftk%5AQBD`H
zJa}TX*Erj^_-RUyP6**q=SpL<bRcM3NO893gvIM|Hm6u&tjnc8Q6i%Q&45z7Gvi!{
zy|6LcTtXBJ1F5zurP}x?_4qgI8y;{<zSNTVDh4|5XFo!>YD23_Fhgh?AH*_}i#nc3
zK*>g2nh?~+&+ALEPa^nH*&uS=?YR_?Jt6m|M++aTlkM_y1du1iZnxAf1D%JI1nUo4
z&=44E*X<VsL#t6)Y`Ppy%!#kRT&acUS$}G>?1a&@pY={ugFH-6ZGKVLrG-yN4-U~+
zh`^CK`FNG2B0jqQe0ESm8&B7Xi0|?hgEXgXaPu)G^hYfG7kyM4?|gVQBZMSi&Z9c)
zHKB|cb+M~zj5_eWTqJUMOcKM>wi(9Zs;F7HW2y2=2Tf<wRjs?E5vC<-?e$j;>`AX)
zxZl=A;hwbokzcYnG1MI4en|uQ4W;56*Y>@$y5e<rZh0I`4?FCuss)czK9hgAsdyLt
zoW)UB0qePDuQI;U#(`HG!(X;jL0P=8WVKBZ0-t}ea$D%)Kz6;su6jM_Gq#-Ba#0C#
zej26EJt$C~4qRGV>*q&1BX)LHDP!8?)u6@<1p=K~eu;vHDDWIzkXuqg$BC6SKc}K3
z@OId{Fe8kJa1v+K)R1ai<bA4#3K@mpwYfdUNENv}7U!f6_E+koW>Rb3n<aJLe$BJ|
z6|QWn@X}bzr>gzCRQ0e`%vJuDfH}(9RU`J=YoapFwN-M>V?Bts%n9Wd5KNe?i{R6O
z-u?Rfdo!sBPAT0!9BKszu5VJS#acLac~{i@TAe$ZesY&G0A1~7g}iJ3b5*^$`mi_!
zAq-0#iIqUf2`BGgF4|Ct+4S=_zYdOb3SBCUw1)l8cLC3#joHlp4`Ej|q4(|EohwW>
zFt#z9c{Zm7i9cZqqW`HualU72=BN!?C5FWBgs*w&&D92-KgzIIzP?MO*#;ZkDDUnT
zX(CuwJ;-ui0j6?d9E>csP%bv=;D4rprr-AEU955#bvR)iCt-`*#VIt73+mYa`ni1K
zehIXkY0GTkv&H#{_mfLjYPdMGaPgdpFkX1J*arQyLDH8)%5-fih~3)6ta*|TlP=e5
z+@IKBtW&jjtB*1cPs-JI6tY1tp^$53mkk_RCO!T%C}M=GLO&vb9!<?j?$6n5V1Iw#
zv0+;UsEf&YK470Gc6@%Q5q`%S1q?F5LGR?yWv9k_F?Nh#YYfiIFt&!9EWbcwybSt>
zN_Q^yv=NgA+M@I|fX!Ln!;udp5jh@xA>&FeZO1^*^Pk=TzuR`n-?L)4x$5WF)!ahU
zP4czi{Y0RbS7$bGp9mNyMqY)h_0VqnPHf|uu!1goNg=bK5JEExI~mLeXsz}taz_QM
z;OkQPU+@S&Br1fG>dp_*%sL8}wpdzX=9JcrEA70nQmW-|+CNO|xmi<)a0|rBylAVm
z<3bgGPiL6zFm3v5yyw2V<}iO8k*dzlj*l6y7~*Y)Xy#A0u@Ci`fh};9Gf0UAV#RtT
z+wKq0wyR4hUQjW^>XFDqm&=UcxH?ky`c@x}u{oa5T<hB}1v@H@oawQ2uX09uV-M}a
zB70i`%>)Mh+{csBR*A>f>91J}+iCXiCA>X^OxE_~hI``te~CEvCr^pQueA2}Z_77@
z8$%?)yDgq+fnc6@u$<W1Oq=(OwR8MzglefWtvfqriSDQkq5JpO&^lTEzMi2Nf&XP-
z)~xh2(ZBD<*{c<AX$<Gfq!hCap~S12^+<P;@Kj)4O7YF3g)%23<uR}Ej)B$wqU3J^
z7gjla((e#*=@0%o95w(|u$4h7;3pxY@-g2`<t;H7Rb4$YrjOS?`u>(OV?=1h&w_gk
z)kO14Bk90h`e^l_`%>jNLgaQ=ot?kcNKDk5pU>*n!{9%Y0^Zgk!r}XtzF^K)V!PGM
zkx+j<Fjih`n0h`)EVh;FRTzCI#`8;CUiMKj^QUDne{g`1Idt35cv}bIecA7E<ZdeB
zG_`r}ZyO-^PezkI);+|D*O%F2rYUf6yPWcfe}FjL_HMXsTOZNBSabR98mCe&DGHot
z7$63UUq@ub4-m}e{g+hvDHzC(-o&plKzzErxopFmA;NT}{I;8uE~5Q|ckrJXAmW;m
zlcqRFiEIHi-7SZ8P_tUVXv9BAxUH}V6dxTYK1o|`S^q#Aw4ffZ)lY*&3?1j$Dehkc
zXZY@~e0^F_@!ncqTsA};DmG+6@E@YYv6+@Erv*{=#Ptr%!^Dzt>)lsflf)%Wm7xb~
z`S>~W_r${zqeS=It%n*>(}dIA1?z3a8b}sk%(;<1M%?xm@5$7dC5~%LC#0{a<C^cc
zp$hAt#5Q?lV;7crB657N(#=C1IYN7XWGMY2JPrjt8R1+c?rz%?obpf&lEGV(jphCj
z!KYgPMc^;-Mv_$Y;!?wD&gJ$8u9L*pCez>RAFL3cC7Qg;_N#(OW!$lnJw@y&e+vT@
zI*f*PU2N!3fgH`sd5mL*=)SXky+{^4w)HAUzhAF{*G18)NqMsbbMQZ|25m+}Jd@G-
zu*L&Vuh4kEz<J`dC=;K~I1^4E+_@@iql}s3ube$R7m36o`-~l}ETH^U=+>%MLf0tk
zT;1Wn#82ifVtRrNn~&a$^mkXn#ibzidrd1uNsOv!iv=gP9nhO{98g5ufcxe<`gC}f
zo9()-nj7s|LTWcpDq`vBgR=Fx^eDHRJE!i*hY-((eO5|}a4t~UbA`$XrTPW4BTZ|0
zzR*m`qD29fb>%l0*6Q26xqv6=q#*WeV0ki>vgUha-L>c@7VNP!35?t<41Y4i{;QV)
zGWos+D-5w=>hZ007XG4WO7Oq6sHK3`<fw(C6i!snNIAw|6-R7(&hTAf1qd0MGCGuU
z<No;eOMjW9@UYZ_Rv@5&*#}&UHs*ZDd3E<0Q6vM)mZO_}RTbdSdMD4YoFA9+KQPo+
z%Rwqj&)}Vp0`{D-KYb%e5Jz@Tf7!Zrc8TBcFs?uWU7J3<7cvlr2dhe-F`E){3%*rp
z$SR`6Ww=>DOB5G8QZL_H^W`gSi=X8x6tPw6#>pBtaTJ@r7;djq#V%D*p66LgNK2&*
z{?3(zijUs*(f`!ZK)?Qva*;9yh~G0Qax!qId_2R>sD;${=iKKRRI!QsQ;~a!944!>
z5^bRa$HT<@)dDpH-6PWmTjinoOFw^)9R<H$B-wb}*Fb>3bImRvMa=DHXz~uFf~h#|
zRWO@2yoZk#{u@_<v(Oc*p9y-%pMTon)v61hyrt7I7uWiWop(|;MIVPnug%>~q$1ZX
zr=;CP4dU*nIlmk+z>t}b=eq!X%(;eaw(D0%&$kjCK_f#Xmz#%vjWmRgcqV^cf+pr>
zJyJisGz53Kh;sTfV-#b^?gEcCcEPs)(H}#+{r$jMLDmePDHSI4YjgjynagOd(GbDA
z9(%mYx4>cc(XiAaT})e)wy?Sy;=;?z5zQ20t<Q=$%r{c-Sz$5exW57DS;WL9+ko9K
zEVmrLLxD;Co!eEM`ndMuuAthgHRAee|9q{bfLN?|=if@jj^i7i?qgcxzVaLI02&2J
z_JI}-FLbaR6~yws(-xMC8K(}#Q$RcT=~k(W29l1glNFA)11&V${jVSe8kP>nBOWND
zl|6qSF=2<4!ukCBzt-|&M3PDtvpn2Ouk3P?wa52~vQ>dVZOHQ`?VC^#2T_x7Moh{c
z(_M~E@tK-y9$R4Yc$5$C?>M(!7_-CN;vqsJQyson1W)#^%{BW0h<jeK1AF=r!PtYU
z=<8V#ly({;x~hz6WwLg7-^BX;mX$KJRK(A*AM2*=vVU|fC(9P6>$n=)nH6#M{400H
zwguX${@Mdym~9clvo1BXO%5ZD=iZ2NGLp+7KcAHCvw^5)wzpQeG#;Od^b6-?BQsCu
z{!nbQhOLPG@$5ixSpC}c^-&Qgsh?kEpFmh6*DyjMB1;%-BT+d|HF?OlXQ|;lCBS6P
zg-gPG0#J`nDB=6aOGb2uyK*W6Im@jzn{IF;VSJr-<Q6`%IDGq@xE%q$o|o^|Jz&ML
z_^mnnF7lCYQm&bLyILV%owL3d3`p*~ANnwZk38Es*5bR<5`l?3vZvoH5!y8s>Lamy
zq^sw_qQEm2;Gk}Lo%LsuNJ!hW(BRESvaX*MJ6dXv#j|#Qd&C9^-He}<NL4<PqgB!L
z)-N+O6%KYdwS6S4r|7gjCwa+`o`>st^vv)u;^faK&2=<|Twhn2+q|Uo(H3|AI8$u3
zyEksb+ebT;o_YUd2rv0V-gRcnR};v0MCA+E|D+urIGz>Z!b@)0qHL;ZV1gOO0B#oA
z6wO0f$y3IImn8RbNxNhl!?CJ_RqoFm?H`?l-;R^K<k7tFMptHINRD!)J^r{vt2lS<
zCf8S9@^EBSNXHQ)%o^vedU~(Y*u^9FN^9|v?jDcMyj`0ct%A<GWo>li=K`^@$^<_0
zZIq>ERfHi5Dfw<$VGN|qP9>XLQ+(vy5$f-b83TOy7Gmr5hmmADLLXxl!%wPaM&G56
zGr$5*hyB!EX42%CeVMA50Qphm;|WWC1C*9V3M~z?kco_!75W+l$W0MVSw#i<_`x()
zlN7*4_Sg6AS<V$C8<&^4k2vUK>y`~nJA2v5HfmG|-vuF(VK8M&`<Nbb=tZ`T?BygC
z!+85DFAJ03r5DtdGxcz?qwBIcD>oT(lfJh4sR+r{;}ZYOQ4hLwg|^0}JmmYFx$6zT
zMad0aqAH6FdbnoPT=UMHkDOKGWlVJvCvQkLBK89nra$+-GtuBD(>`5aS3*jV9Rbxw
zeV3@<td2BOQ57K12mjdg)=P?HvFkY38AL^UpHvu=fgpMO^q!9*>@p;`g!LU;dnz(M
zgxTtQ2$9k4u{Sz?$dWu~x#O59R2Xkft@|A>Od9SzG!Z-~M_zC2E7w+~qDkQWi0elY
z(&GM|Ug4keB=f`u=5b9b+~qTq)#b!Uah5F-wRDPPLO!?F8G?$tBf0MsFN%{JDeKP$
zDJYQ=Zj9yryQrYj-#?hhFG-#_I54x`O_>xcjZ~Y-qQd6>h906&iaa>ia(~?!6>{>a
zUr%i>6+f1m9AEgzkf%R<$nblwO1@brDGVd@(D+xgK7dP({IiaQz3QJDY5w`0rpGfq
zFu7L9R?NzgEO#$S)66wUKH1#qZ&vy+KJe7@{*XK=Vd<8e8lg!RMyEsx_Upr~^I#x4
z70AD>UOi#yTBPCmCh}FT0o2+`U5&pflGFQH7UJ`?$yK-Hd$UIjamj}*{BE-nDcrkS
zq<mS2^xAc|&OFozI!8GTd1{r(xRVj>^WM5-&6z#r(vimaav~&t$14@`QD%$2$Cxf@
zrJ$EBmtq1N&+mS0H&scEqdup4<S1lGjG@wvH>L<*oibhBuSP1aex-V7P{@P*dhZ|4
znL%;viPM6vI%(faj7@V>NZF&6fet1XU>RE!xc+7BzT~>*`!rp0dzO2JWsD_+BIz!?
z_0%AHHe5LpP^Lr9zC2R<?1>dB3|6~}pJ<T(0{{U3{|r}mG}jLlMfS?xWb^%6Uwij`
zMyaGIqoGnM$w&$5SI7>bp=_BILXwDlo{TgIg-B)+B6}r%{(a}2^WM4lop<j|jNRto
z8?A!%k2wd<cT+)rgQM}*2pJ>CkAL^&Q^viA4XflX1BlZGw}elUaj#Lneb`YlzSJxD
z<2L~yFiq(4HEs59E8?g1P{c$9U+IMXCZHR8X;j*WjGdnbyIwiSW6|X+mip-?u-CI^
zo5Ugs-@E3%9aECUdoirh0-Yuh^6l45pA`vxB=+RdtxDn4`i9cLq6xeSnv}m0q=<!;
zFO4bL+psi<W7LS&6bxN#K1$zJz)ve%%{~Q*;&I=D%h{X#fnJV_3DNSHRJ1qQAzKiK
zYPC|7x=o-#Yi=KhmmF@H^4bz8%7>gA69d)-Ca^{dy!T<JEKbYK4~x%p;VAb~5MD5W
zOWq>Mz5Fs5`sny`xijoIaQJzuJjnzedb-N=4oM*+ZCo*3F%x#Zc_P8m1F)Pl`tW0^
zBt9=n7z`!0VBbG$rlL@Qkd{x;e|fjz`9xXEw^1~xf4YE|LkU3Crn`sks~Gadi&&nd
zTO*Fn9PUj>qk=&7u98D9MX=;(-yB7HnTXsM%jGw;9Y);Fe4~~N;q&9i2m|W{!d@W2
zsa<|Ml!x=Vm30Xq?eD|J2hPnA2OW1u7`Yq6<Sh;UyW;%VGefqp*)>a~-8U@ge{KZl
zdcxN0B6+dRC+`MB+YC{)&aypz-4Kce>l@Ap^PpJPd(9U=XNZu{?v4Jvh7j4qpSIY-
zg~70fwijoKrSdQ5R5J{~54hRpt+!%WiNmfC$IZD;D%A1?eW)<xMXlW&m@h@cfAYaR
zAsn#mooKBOTCYNBVnW!kx$(iReSC{VtI6HlKZ^B0$D1Z1ZjA-Iea}5fZ(1Va_X~?<
z@an<0@~Y<Y5@r<Ux9K)7Tp?^*a987hx{&-+YT>_BCRB-i+Zj^%mw2yQao+Bi4rICB
ztM{p9#Pg6o`0)2X;x#$soW)@s*qxaD%#DK)zjmtBw@A@obGTVxVv9C}O+|D%$1tD-
z>z;_U<Fx3Jvm9-)OB<s1w3L?WFkoKp>JOtLI{YzR#puwe1p}!@*Oyrs@Vw)Kd>|J+
zHn{Y)HSf{_+tKgkYV-`aaO=_>If4N_Eb<p$e$s>_&HnrOG7LB$ce-;c9}|8)vG=sX
zQB4RKe9^+^!hrVj%Xto!%qWxkp+ajy1FVg5IlY@1@QS>w)qno1`0;It7EO=_<Q%x3
zDrL`zDXh&-`VQ<Un*Nq371n^&+_U=aG)!2T^@AtYjuUSdPmlsD)Zv}@gTR~3Ot^c5
zez?Ps3*};ZlCmAuL8;(=b4oQczIM0o@^|7!rr@2rZj9>SYT8}<q=f}FgO3mRCi7tW
z$8<hQIR(UM&+4SovtdNlqnL~dUW~UMcRc1!f%qZc#EcW{=$l})+G59#-Ojd67fBR2
zDf#u3#2^P=5~t%B>=D5Dk2i|wd(|Mrz54vCsI4eIv5Wfnnh<tNen`LSqXvS{Q};+0
zb0H1sjLm?N2)bQ()88Yh1~<J5b-RnWah$b*MqFGBqgGPlR{K?9x8<iBkqtbE<)_-8
zOGu!BT&u`JnJUz{S@9ao^WsgP{F(hyl32F79;}h23ZBkPPo@p|@ps=zn__b*G&@_K
z<DRby_FZ%#$!P+Z`E*0&l)p6g)V#<lZB+$Q>R=;{h!FOBzG)t=k->=hYgVp8YOqq{
z@~`xnFm`HZoRi{{Lo-v=^_^jA&_9kMQ_iB8xpP^>-cKGMaOe2ta8Tgti3ceGn&LRz
z))q1}qJVc;BRcnApg_@ae*ZMFZFu_XqO+7E315yp9D6%PfoJS>Y|e3#cvU~W+OUI+
z^?{r$(t+x*Xxy~$E=3BnFIQX9SSsV7TzA7xbq!!Xda0avCXJU9J|3%op@QAxm$o(0
zYQmYJCy|3KGPr*w`GOt08eX<nuzxzUS?~Oy&pR!PUyJXx(n(XW)4^9?n^qfcW^60E
zz%7pjk>B2UKBnON!yI^9O$S0Hr4~R{0jB~p*fx07@$lOZJF~9p!le=+F$NPw6qWOG
z5<jYrdLPK|%lh;ntG}Hk)Qp6(SB~}gURB3-k1mtL_69J!I>oW7N=6|`j;Dcc>gZW>
zQOvf-5OQXsDTmj{$mh41#z<DjFGh@s)hCUCn|U$uVU7~M<{qhe`<#N64qf}LH~-$P
z`<XR6q?FO|Pg%e(W(x8Pxhn)J0;I=~xE{GHBahy1YSbZBRQo|cVciDMP-&=fEm#@1
zujTeF>{Q0b*RuQE&zb<|?OiL{PRck<>zZOQNkTdSleG)OCNOm%v=|tak?wiKSkwsx
zl-a-AUUG*iBwat@DdDYz&zzmc*~(<mO39|_$xTz3$u;V?eM-iexzyP(T4}t}@$p7!
zi7A9XYjdMilF%ftGx60c34HzYP}7boQ;0cYrgkPx5r1%vk#>~{qtNz5iIf6U*sxG?
zPCluCO}S@Fl{xtF5LvOYA=DH!&iA~T;*dv$yP46(JzQA&<SE_JJ*IH(W+OEuUlymh
zIInu_XT_3pzXHW*Orf6pY@`5H2Ic>S4~x!k!G~2FFH4@7Kn4#@_{(-Fym<Cgjfn9-
zBGhj&%X5zjl!-M8-gcA3@lrEcn&5e2CFM}Q@dyAumVK2XE`fLY^nNmlO%ScuVv8cK
z0hnru9FV#pikA&meR`Y*2pN$nIei|09KCXtRVHB+?KO>@{nAQA{^wSju%8NKtXaKZ
zE`ajvdAD?<$_eeq0|r^ww!_P0_4c=Md{}am<!W$t61D6nPoT(CWB7ckigx8556-?j
z`um$*Io0PyUGl#{BhddtQo7j4g`5mOow;9EQPs~2C;b#Pf;_c}YGDgb9KP;)=+nCj
zDosxH9)+WZaQ@A8-*G!O^x3dnJ(E{NZT6rQ=-bq(Q6cT{hcB2nafz1`5_YG0b5$=f
zj_bocg&oCTPBNlZ%2ZqWzGp;0PREW&eSP2z+};1ojvlY=8_*Avs3R1U<;D$T^<b8P
z=unBFLwmk>;{Kf$V)<Cur-e~n7^+<Z9U5B9I>=O$?$|*Tq?42)cj|(x*xKbshc}3_
z>LYO%i@p(hnl_q^PjtZjV5wT9$Uh?Zl1KVMfkA@v+h|1?w+_6p)t?nH_)GkKaW+Ne
z><^;Tx?m&Yx;7Y$4b=;jtPr;o4{q$MA0>jGWD3ttY60U}E8(fj%f!V$KYu-=Ob}m>
z&M!Hh(gKZ#nLoR3ED^P7^lz-6P7yf~VYUrDnxLhcOaHlbk+69F`pXZA8KU}&M+~on
zCj7CyWtQu>NYvG?Sw_vx65WMf|7mt<z|)xf0bP=dMEEXFn%u5=;<0@FDZZl`pz3W>
zR4lwm=q*_dR<$e=f7WXT9}lSm?a8T+B=bdrZWo_nZSOL1cPWd0)I%N2rFFEY(-sLi
zi?RpIjDLxKdJp%eH42C?Tdp0HTOz)uWpbPB|3^q9vESJfM*)?Fy#+hEmxvOH6Sm&3
zHwcE$=M*l;Q6O-pFJoWjG9k!qZbPd?i(l>7H2ee9U?;om&gg~};<UBD^r5&-et5E6
zu2-tUBl#bD^43=gNl}Ayt(^3zq#!!Vxuybib(Ak(&a4rmOt%j|D`dbqkB;>dJ5?av
zJ%jkX_K!IK<m;=e?o8-uqWtoCqB1BdRd<dwY!Eg(v?G7nu;7<>Uy7aPl;C`Gg~!++
z4d$grSuHxT;pnMbQD5wpz}9aleQu2wFB&qu9!%rFck|3E59-Je7<x}^ReKATwH*4F
zz{rJ1c4vkkG$4a>zb1`h96gR&X83(P%#DTjuj+MFksxq@p>~{=5g+DE4)TBC!OI5*
zw+Zeh!AQPF!b|}Zn&&&e*m{f)m9Md`?i^MGZ;>~@m3&w*^I^&lcOC(ZW*nYxiB^Pq
zX_e4MS2j$JywEc-DTo7kg^y2|E5e`?gNytv4z$&}h8DBJDBv7s@t0E()~)w)3=VBY
z!DZH58EG;6R1rNvJEZ_YvvOvKbh**>8~NR2pad@XE;Vfbp#a`@KU35<eZzN#hOpjn
zN$j5Kd$};L0GAGQeed7&+06GCSi^owp-fl*&1o4$(BbK&>eTS#Unk|ydrrt;#q?Nk
zl#e1*&7E!i9xRBq)<zYJn|igYULmMrN)dLxwiq;U6GoHt0^gWqc~oUr8)8i$L9FC(
zyTuhzRO7Qa#ePH)l}A40<a&}pvA=NWY`!@Dy3liitV~AJ%IZ&~U?r%v&TP0xBZ*&}
z*o*(NDP!w>HN&V*Whf3_4GA}vLbiC?Lm9Iw7;!N<wf>SSa9j?yz8@uxG?Aar{pwW1
z%vX^`RjL#?us593cSHtHdkeNiby9HAZt0c$K6OYQWJ>(BM-IJ&-{l;9u8uaGjSA^W
z8jvrnOfOn4kIg>A(^~!-XcGGT$$M@s*y-yQa9v6f4|hzYx=3iE7=4oJe=oFQq0hgd
zB8-H0clq8sl&FacXNQ}GZs@|c*nBaq9x^^Nk|B2WYGQY1Qytk;A8!4A^pMQ2j6dfT
zlT`*ZQNOF@KSpmu*gNOrw?$b6xqTQW8dEeeu~2N=$6#YH_%ExihgTK9-n@L_Ba0?p
zakRVFe2WSp@5)YTzfr}dq_<`CBn@;H;d!7}3&8Qkfu&7F4K?4|4zvEFAd#B<!~Bs6
zL_IuEcXhuS3ii+R2#Bj8or6VhpqDA69E^4PAgzWhPo(G`bts{n99LOAzZq=5ey6k`
zPZddDe|eqRp@;$AEqUB`%;4Ia_<@M;Droku%B1ABEM^&&Jy;(ygHSg!X@zEGyx!#U
zZ>(Pu4}ant>S8vBGe5Qes01jXeQnI0nQReED(5$FWHg6U{0)64{*sWxRlSYG#D}|8
zyw0i*m_dc)mtMkJ5nC|s-l8-+@;%zir=DsClggIt#ZmH@e8I#j=mjml_1#|k49p;c
zBf?+qg)BNV=VlBP&k&~%4~_i#Yzn$kv-<?TNu#Y|DTAg_6S1u!+S~7_DUfa(eP(2o
zLP?L5_pbs5sTSPB8gjiRz$-Rs_4Gdp9B;5D3MXf%d^?V8Z9HrOK9t4Br@2LuGq#Vh
z_UkhB_~%X%wF_YF+u>>RPC<P7o{#=%_djZ-Dh>6aJ%CBj=TXmAK78Y`w<$222H=IK
zcWfyY`jVpSJht#)c~0y7Qx&ujl(aR29k;{PIJe=0gPgeg&fRIH{d7?Oj>$W&(-^iu
zd)H$%R-7)rmQx!}2ju*<wnK|Xz%wW}n=r+I5569`ZQ)M`QB|ckcW*NSqoJm#K_NQa
z{VA5m-G~lMgg8W)Yz!fdyVQSl^Ir!{WYK>cqy;yV$7I211F-x2!!%EEiHNGBETA7P
z^i1_c&VJN~v3;pbJcTpFceffoYnIJD&lTL^7SM+(Lh^ad-7%uqDeu_!3>sLR^QoIV
zqX(D1-dryq9w6vUU!2zi8mOSRYLThdh1I_uvK%(;M5W!7O6<@El}T^dSzkyO+>JS3
zt!yhLyrrD<_PcLTzYk0Ycl+x=(OOG~mL@^vcy%jVMP`Gl9z*SUF`x~OUDs)9hT5rb
zKDAp*v29SdCCz?_-m4A%I)4(pCVHu1!Io!O6*j1?6~4MMueCt<aekd6>oC<qzm3G=
zzd^mSh1beTLkm38-+P`mAEnkD7a*UerGa_1;K1PmO;9{tlCPvYLDf&Y$<=j=1`@yd
zW;c>FfqmDBgF*9CR6V8LTJeK4@Uv*jtgk==W(&qgPVAhawlv*%Zy7)f#ZUiJ5z^3r
zTcIy6hA_=hFPBtv|Inv{7!F;^xoUNAc{&?fR6kG63K?WQ#=iwvEXjgRd(<Jg$KTc~
zbdg%0AX_`dO%Do3MZV~Mr$Da7&NC}}m#HdeLX$bv8Gx_mZ2xO-3bgIvt)R%RQk?>Y
zw_d!=2prJ!(S?%&m2gj>Y3myG(erXv;XWn^7;#p+e?$#9<13Hs=U=Cu_xG1N;Kc&E
z&utE}XR5*-^MYM6;xypQ!;@2?!UmxhrRE{iDzH!VpNF6+Em&~n1RDr*!2PrBA5QO9
zfqn|h%HC^qz$(}OK~QHa3=YIBsuwDQ>`)F{YReY5yKD62bR8F5yw4JGTUZ&UE$HND
z4H@7~MD&0G3lFFn#*i%UC_!%ur-s8@MxczYtgX58LT^r5_yIvB7_ZT@nDJ(Y<0sii
zTxR&7JNN94<|kyhtwr0(xPuksOW(D>NfZF#yhj|OmSnh)_N`^zm>uYAgM^&U2tmzw
zcU<2Z2|my2Yac(w2{c7?$8Q}L0b#nrD5hExd{KC)F?fUvc2pQi2Kb4=--lj>-;+pS
zWx^6ak;V;<)5R02wGyBsmCeE)MFOo!x>T7p9;iR3SGO%y5?(QW%rCr0g6D5{8yxiG
z13pbA+QBI);7vMn_TXz0H2oJHMB)~JTd_lC>xX0@=D+b)0cJ9|Nc=IB{~!pOYI(gJ
zJ+ja(wIe9OpA4x6pcR-W43&4re~)>|Lv%->@`8X81PHw1UC$PU%*@ZDexi!dXYk4C
z>xdF~nb%Ku)QJPtrSXtUCkf6U?zpn^w=&Gg4EMjJlLSStmE5sZB?$Zay(WmF3g&*Y
z_4hTU!0`C5gtO;VKw}SGWle<|++Wa6<?)sV-%<^8Es7d^yIS0Irhx*6UvgfL*T{h4
zc75NX%M>sOw0TZ+r~?TO#{cG(+YD}xGQdn7EHv6ynYU`fWUjtWtA{)+zq8|C_^S?O
zqieTwE^0w{>uC@1w+g^RJ~r_uK?8dF-!oaPX@i&7=ZI~>Bw$qUdGM4;6ZUQ0qaIkG
z3&}K`{?kXvaDaaHQM`pFyo#T&-si6m3S9Sivcr|YRC<w;yH^u_s$LZubu<L7_3Y6*
zahrD+n^+#VxyQLDt71iajA7F=pY3&50nPNE{BhA5!0sXc`>qxhwi|8tSm9Fz<6je#
z=LvNvU(Ppk3j=U%Xi4@BRE07-uXTwc3Vh<~O}um51dI~}Dxc=6!te3K4RVbtNdMWA
zMK56r_ovo}+(J~rz4t;xc9jxDN2UBwdu<8}gtob>pek6C`|t8xQUtCrk$pD0W)Qv-
z=5zhD3Mkh)-HWA@gMRAO(!rZ%;QE1HG2C4lm}gg_OJk*g>Ch~>qRb4!h8@ptF;IeY
z52^;l+{EC5cIw>sN;61OiNEgOL4q<iDu;`-0O&a$2$D)OgNxXx`E0i$_>yz&4xi@&
zh3xww!Kcl@-z+q6CQ}~9U9+zYzGQ@loRL2FcsA$KKPufbCJSGuR_bKf)~J0WVWKm|
zrqJSGIkJT;1HpZFCX<%OsrP^Gj{5+nU}m{*M8iW0T1z8scXPa=N{Cl*=f5)nE29;^
z^~>8pF|+cJFH=7edV1`Z`92e9Se{N6poqbyG=AASHc9-r@-if7GuL0(E6%gTCk)^>
z%h<7Fp6E0**>=MYV2GL<Dn}Lo!^|fgI`qqg++^#yu$NSL6BXT8?#&C~8llgs{8tH*
zXu68e`|a@c@ymZt=eR&7=JxunvA@K%gcpOqe;C7iwte3#Y&kZ0)LpHLT_fawJNS4p
z8H2RhsrqXwEa2#KaOGFZ8X-`vxgnxq1n0}{My7Z$fO^gP#|MUMME<XZ6LrppP_-60
zcyB8mWOVY%wZ{J?^f?`>1vhi3)K9vBZ^G-;sN16=voBYPBRBa;&j$22@3_N`^m>{4
z&8aXp>Fo-!|23IUilh&ZpWE;sU!9{Wk<w%W+Lj47a@oj=pB{9aq}ZJd`$Nr1uY6)Y
zyhIEezLEO!Q5W_X$(}OW`ipw8QPRMOX^Ci!_Y|~I(1pX!8TyBP2dVu3`a9@%EE2;u
zmnTIdbYQ4=<n0OQqGC;5=(el{;+d%4qp=BXxWLE2bNSOdYJ$>t4Oi&};_9nyx3Ab~
z!(N})nM>JEsdH{A8o^ET1hpf`DXvZn4*X<KT-;hp_^Qyw%if<Swm&|mzoxAPMls}P
zMB7_pQk~J$EoPqBuSc!CTc`<p-|O}KN^2)p`{nO&6wVWrQVU^<f+p}Ci1=1m_m$|O
zzbtxdVV<C?sPQVv)qur1Ns%vpeFX2PMvddH3q(*;h3K+^27GjL3VJp^NSHL0>}O=&
z%(YI6JExwi16zC~XUNqbgkJZ%|Fqi|2{=2IbX`{+8YdiUix+<qckIu%^fWCI?oHhs
z_v$I2Z*^qqiR&0)DebAMJ-JM1HQ)U#ZAXFSk0F1_-zNwm{fg~_uu9a2j5ipytAX=9
z={1KVQ-t@oR;`hSzl6Fwi}^nqHCSHh_L;prO&qZOu2U88k8o^DJQ$#(3KKUvbVT3J
z5Z5ERYmRts5Qgu94iJ}A;KYm|b1h|#2wCcVCi#&D`(p*$nqDYFrT?F}#Z6oub4BJE
z)6k*7uatqO8%of(*2LXmx=0BBo2u@x+kyw#)Sln6R)Xet8!=IfOT=~it#da&(c{Gv
zPm>ZJli}guR|}VqD}-0A#p``uj3|)&+H=dMj#%6vHIFy_CFsjvG+r=dM)l#$8;Tc5
zkaC{kXzTPpqTtd&i@RE^*x&d@z@twQn0rqjxg|@30~-CA)hF0djVJJdt^H<R`_7aW
z=SGXGp*G!CwVYVE=oA~=r2zDLKNxql(&6~=t(jYjxlqDQDIQNLK)=Dx>u>Dnahkkt
z6)et!$2>o2F|5c#NwtfW$p!<a(?}YBE8<1jnF#Z1De@pS=MqD0Wy0fLZDtc^__1?_
z&M4ke9)5Lw`grjp3tn6|KbgNn5Z!B6%@<hZp;MR~RlmfBB{7&KZX=ANrnk#pe3OHE
zxa;R&&xwuhj18vIqS$ntU<H%|2W`du2EJT)PSNqn+@d&cSG&90w@MDSHVZ65KR3Gf
zUC23MDT(VrQ6@F5azMGKQRQ=v7f<&kmK-UU!hOx0B0Ti+P+RM-K*z_ALw4K0av95D
zl%~qS)+6%3^6g5|<gfs`ELjvJ^~<8^9a&w*uksL{Df5t~M+lepOa$&slSiW`jYt26
zC_vj8xqoR(BFH-v5_jyfBJ!3{0`i>|;j_=%pgYFms1!C8`t~FlNotzRmu`^Y+82kD
zT?N~4>s-EbiIXzUnohJT4Ur*S>DRApNh$O$zpJzDyebygs#X4sRR+PR;L@Dy(pW}4
z(!Rrhg2nU63RmJ(!O}G{w`^Pn%>okX34L|ceD{~p(}x0_H_{XRo#oK==vZ)`k_N^;
zcx<WqSsng3IO^{BDUUoZ(}6b`HSy_cqcxn;gr%440b{O;xJ$*0A%M`tcA;I@N2Ijj
z&Xxq9^idM>hMNaR?9oCF?INpEPF+Y4J@JO#UJ1{C7r9`OqJ^9%wx67q(ub_}I{`NN
z%DDRTL-<Cn7P5OP-%#7k9c4UU4U4|2U{LVb^ByNH9MB8-t{Q6$bJlik?O#+eL8SnW
zHfZ9s)$rw=Z>iv`H|fxEM-6Y#w-1)JX`rU8E3@`IKtj7QiHn|sLLRI)n{KM(IxG37
z)07G5H0$%~3sBI)(s1X@lp1m$cUQ1)GKHGD*w4hO8oKO>wcKN?jKv*7@Y~-E*7$Gx
ze7>lL@6yL!C7)MB_GG_=h<|1fBN5jgaZeSe{-~)5ACtwoQ}c0o*5<G_d!pm6s|p@l
z);O4JFNwTS3R$b(=8)m87dy48gyeFw5$V4|sN_<9i^I(v%5JA7kJ^$k%i#8Fnn7;#
z3bwcwYiJJH-$Nut!xS;A{(asY4-+c9SLgTsZ3dTGYGYlK<S`O8#ZFR|iIQlgP?0b*
zkSjTJlQ%;a#cs5Hzq`;$ScQAOOJFwx@wDkOjx1?h@bhPu${3=GALXD^ylD!#kCHy$
zDU?J`vXO9>{sQ#{YoHM=jVTNjibxII633V~JJ>HCU8iR6trb@CF@a|uW|_2qgmI*j
zJ4*W&9o)VzBAhg_iSv${l%y~L>|AkBO`W2Lw&o{)tj++~cj=k=Iq)LK8~O_w!HiH{
zYZ1Y_$(R0y+(@nq7w&#$!g1P%3GzG6UYcp%4zAM*&AlFMsPNQ?KW>r<QteATD*KIL
z`2ZVFUL+&#aLK9`WM>BV+bS$hYery8M<cZ^LWfx$uTEb1%>*8K^U*;vM$of=VItLN
zjY$2VvxSn&1m)H?A3|+6ec)~d4p;sK!ZXa-&T$tLq&OWBsf{&&UujpLa~+=~o-5L!
z;}1so!S?S{c$+@F-jaB#a%zxB`{R{)A(Rp38k1hDiRlB*Fqf|kv=Ga@vjL{+j3A^U
zk|gV?2Lng<jCv&GQKkNc4qcpKfVqg`#r{TJ@U4@u4Oah5P4AdgSboO<vF6Kcf8=zb
zO8(nxuB8ELeEYkR=o$tv6?T%EiPC}Nr%fK8%O0if-n;YApEd@#a6;(7rU!@rqBwiL
zznY{btlbXKU}OaQClQS4XS5-hSxQ>3aE97_AmH(sBO^Rc@bm2G(Sp_;f6Jox%v0H4
zE{h)NVub$z0096043~F2)o&EX?M?Qqtb2{?;$GKY-(#eqBxOV*gi`%P%1R-tWhbi;
zQbtNB(S4AS6d9F_WXs;0pMTFk&pGFLozLg<c9o;W3tFl|6u~!Yx^@{8I_q%q$#rI^
zJy0QVpo0P%qBkdKq}Q;PmOXN{IxL|3`hC#}8w!l68*nCE-N4G8ig5msWd+8|Kb_V7
zs(`8ctZVhVEo?nV<v3244cLNSg)UrC0eo$SPcRJ)h~R1^XZ+X!ybszZ)2hH#^6FE(
zJS|*|#S63!aDd%^+i&%g$#6%`AfL;Y4h9yy-Qs<@VA+Bzl1ZHm>TjH`et$#{K<oS=
zYd<%L=1uLF_(g((>b;r$0}SvyN>ejMga`I0(s?%CB7w;V53NTAOmOaRd*TfxUf5}1
z>NHg(fh1pGk4_mgY>2$So^h5B#FB-H+%?J&Q~9Hg$Cwp1A4az%<nsg9r$@=X>dG*p
zW+8KGnhjcOhX%$31tIZMkP&x<61*N)Nzs4D0ewPh*}7Rmu&^(xcH*cK=oiP?a^`Ts
z1B?D4<>Mj{m1@*HHLD0}5A?dW?6{$8{zABgxEN4!Z-jI{R|MNIj#zPj9=M5@{<MdG
zA4re6Ddu}CLS25D&aEO|2z^?4GhRs?9u-{p*I=axn-iYfnd^KI^j|2hqg(=<??(*u
zoKyt)S9!k|9R%R&v5cGb6Oy3z3}>`<SrM8W1a+u?1R>%fopQg5Gz7%U{d<t72z{C3
zhj;>nAvHE*&G9}C7!}k`TxM1RCX-gXLKRU6mFtKeT*gC~v1U`<LnTmPD*Zdbv=_WD
zU%Ia1DGS0gYDs)X%8+bmfF-Z&gJm+>5?Ydjzp=ejq5LE`S2$fULMs7n@3WN@f(hWR
zIB=sliv;}bIx~IzlHe%r%b3nZglzg&l8qS|M7ix)4^X6_$n4Nz_D70PGW7d#n1~7t
z8CZ(b+et&kCu+7MmojJ@^i8xfQlKIE{UM_$97NV8@Vcs#;5G+&Se#!Kf|%2v+f?8|
zy|G&TN*f8d9#$;c8moZ-$tv*GxD1Gd&#a$6MFu)~6KrpyI;`D%`lpdc4yr=x4H-+x
zkf-6G;7G3t3l1eF2Z{2a=Q&l)I7NmpCk2)a?`lCwcGDMb6#~Rk*N5|$$k4gTy3{45
z0}6Bs+jqqjU`>xr_TpzU<m!wSYJSp%cHcAJbNvbsUq7N6?Lr3Gp7UL=ob{pVK!VRF
ze<F<BW)B~&BY_J^_KMjO2Cfs5E{6t)uxw@R;nAlIZlOp1nU?_+kI~1n@+v~Ab+Or(
zCPk3?6yw}>)&Ld--1|>4DFTh|*t=#&1vr~Dd;8C{0USS6cRits2t@ChvLmH(;QeYN
z+uF$xO84>-LNtj`FgAVHs~-;|j~vp{$_#-7b)vHV3Sc;McI@qj6pa3GU8?+N2&^}r
z6g`h1K-8Uzj2v+ZXzb5syR>5n1MlXsK{t5--Le(UPoi+VLYJ|5*$`eeoKRhol7qCo
zOE!fs1mIc6;tjzLLohvD_g`MM3<ULFHNDEp0~#xvZ&gzb;hrwmGj$XX|M<QwydPnO
z%nxYI#@rAVzip;Ef0c&U$5}bGd+6Z&#`(US6$3b#@vU^}h!n(dbdIMEtYN3(md7R%
z44_f(#$sx-1dL@n`EinFF-5D*2e%XqpjY%pxqI<`2xsgm<rweBbXQs9@gD)Ew}0-N
z8WMv~5vKVJt+klO7cVWI;{aAKqQ5Qai9m;0oxuKdDs}i}iF+><gWFm4B2SSZ5G`!=
z-NHJk(-P-zjSuRB*Vbw((UTwYK|igmwTEinxokDht`ByB|1yr5@xqU7nwkHa`l-g>
z<r~?w^uSjDg*)%+zy%?d_nx(Xsr~0=4zzjb!qULy{=15t5bf5u@Fnvv)ymNPbwaid
zsH%TR-`rw_gbQ1=^m+Z%%N^NLE`!=IJ(zrw8OIFQCr_um7ww}upsg07oHj%l@G^f+
zVSp@W1Ge_9F6w)Roc>xbEl`(x-P?bL4syM$aW)2>)cQbdXRbyQn#QmvMJ_Z@bn3?8
zq<yW_Dav4izpy4yu#d~Er?)V^pO;q0{p+Y-B!vPcyfvUFEH5j=ejUp_uwbE1S4!o(
z6xE&AwtGjV$N1fvSFmCthmiO?PwevLn$jM1bs+Pb#%ZN4VfKo`!Xj&B*bTqpl&Gg_
z&}+(Fk&70v)n7H(GmCnRD*X3LFozl(XbMZCQJu%$Y}crj+-}9H=xjLCZmI$ci-7C-
zsaedTyT4nwt`qxDoyW9fo&raoQuc*@nZeeh1Xirpe`6H02E|+t3Jg5V_DfNm##R}4
z8}0e}vDUh_S5{*x5chB=h+}yY!>5`I8NL|6=mRAxU%2nqcYgaH7n{V)Pk%l0(P$XE
z7nRc!K1qfgS`wQ<;sjQEfskT8Hi|JRG_L>jCPSM?gFBD?1h(9RCv2qs!?Hj7sYGp)
zz^;fKqjY%!b24swspLL|J+<p9kGxNUmg;R<QuPEjm>civC^w58)*1X(zi+p0YxlR-
zauS=(O^;qIn!~Qlgun1`Q3k7%`t9j*Q<y+Rc6Fxd0=A~-Seg*81ka*eSKTzHv4?9k
zZ$0RiF!CRpoaIJENNm}wS$1azTdVngEB5Cy#`*f}lRFHGKzL)Zy%j!-(Qs1#CA6$!
zNuIBZG)#z)ll4rq=HeVCXlJ|MXl5OIyJnWX=b-|$1ej-)U75#%T}|RY>TF>hgEYeY
zJp{1ts9!jduz+!2rQeFG*umPJQ%fyL1URn6oaWWLh}mS5=$bTXfyt8CJabnbRt}X>
z9gZ$z%k&0cGfU`TXXpflZBh<A6F1Di46b0-`pg!FCm6tiT$R{;QVyC&IS8G(YuE=S
z70ZhPOmO5nmuf+cEQm#!bM8srz&N`y<763F03E7U@6wco{+L*o;E!9_A2D^89!WN!
zzft|-SD6fmCk`L@#YqEuJQc!>y*c1jx-01G$pEi9j{M!07Q7G7y7_K#LBZ8;4Asqe
zm^UyVm}{hipF$<%l>zSEe+m~dbj8C1|MGVxb_^f_0%vtE@IrcQMtKJt9wyo&eoF85
zw}rcw{*<2|^!_VPX!wAGfX{bF@$1ZBYFK;Z^q2rNDYyQ9<&Oi$(-9;x7aPRbcE0^E
zDg;mK#5#Qr<6yA$h2a&;-Tc6wIU^+~3Nwu<=bZ^SSY-H3FzVof7>|qMz1R0bamkjB
zsss+=kK$*aHE=`x1p5>Vr#SrC8BLN^!a<R)`2LgwyztoP$n%mZ35fpQBgAKegZ%Ga
zubf8sfaluQGcGSF7<#CX=aYql1F>rhrUe3UXus(gi5~}kdt(`+c=2Gf?!4faECdlk
zk%O!qc$hi2;&!|U4*|Dzuh+g3fsgx)7*dL5!RhU<s^mZ!_<i*c;m)iW3`UBb&Uh{l
zImq%HZI~>a_{=qT?#zA=^)_<TELDIvIs-1>TI67UKI(h0p9I{m>iKt}T@h3RUOuZn
zPXOP{Lj5ycl3-Y%n)zx?8L*Bxns>*EK-<)Fp5>@C5HA=MVq9d98ZI>#d!z*M+(Tid
z-*8}|X>Q~tr~<^bDI$BuZr&59(bcz?0h7+VUeX*CNSEfXHk4NZ(y(d7?3^roi{1YV
z8=}DVcOP$_9Hl_rW?Q&Zm^|q0BhRYDsRF@5*v0IZ8Vq*Y$vJW<0MmKRKY=W2kV+r<
zaB*1!ddFSXc7lm8`{!nDj+PoYF}$AQ)7A!_Nyi&gyYq01`h0vKq6UGjHr2`rx`3OS
z_gz?4f*HLUb=s$@pzy+eGj~BBTBT0@XzW!6ym8(gyE+P#C+?T4&IGtBDl5;XPXgJP
z(U#E%Dp2&^C@8SZ0E!RS#MC>Jpr~K9C7Wh<5AzE2jRl4vB`4n+afSrc-xr@@HcFs+
zf1tg_-w1w&?mYP*LxOpo0spu|1Q?or=*uQz48|LNDSY9|aI)Hxu9-##7TG<`?u8nI
zX6)^rr|wEX^O)$pQ!EK42k5Qa-W$W&0|p9}+e8Sc+>?5iT?~3MSytLU8pEbdf(4zW
z0ua4yw_OhM!LRg<EcM66aN(3CzTZzCq95=Fjy+<5Qyez-uE&glZ~JV4Tc9jV@89HH
z?^(t8(#nm(M~onJrgA{v0}tHCvbQ2!zheXJN0Q<^jG(^!PD9g4X<&%A{hQM_MvYbE
z%%~VNg#0<vOPL0eaLcCRVjfzfR--vRT1!L7xnkBB9Jn7IFjXG&-=ak_UlXjwJ{iF9
z$*|s?Oi^eN9T6+2XGBi|E4Ttx4M0w2$<|_95ZHOc7{;%$pmQpg6M=aE9R(^p&X4&Z
zWg=%ML!S+)r*;*@Ndgd@#9_^w8|vbu!ptn$Q6?kXHD&`0f+&9Gi8yw6aq>XA=@2`j
z`A=+9#Z(^(Z36STh8ba`vhr&vHwS8uJi!ouP7gAQ2*-+Xw2*Y|_2W0I?1**Acj0BI
zE{K~nmXO}BVa-48o|!9UM<2)AYU_%1;2?YUy%v^v?4Re4)(dCYk>P>;3_@etaKFVB
zXKgxysch?n^K7!A#t-L`TX%gQzajr--&{LpF8iMEY$hApVcHTR?fSl)QKenpKn7Kp
z`MK@5B^#Out&|9_)dc5Sg68Evoz&)?GGjVPHgvsT|Fza$O=upp9xVDkNR1g9JuT0|
zh7?m6|1<_@z*A$9KVv^9sJ<r4%Km%UQ29<6XX9UW81IvH7l@mq+HZ~p(QC6IC;rtl
z{m0Z{V@rUIeqxb2G5lzH&s{cDz4M~=D^(53YrBQq7+0xQzx|5O(XykLXCB|Q*Vw%~
zQNDz>>2>P4Ox|{<Om@^V@_NqWtt!~qc|ZD6vPI1%@iQLv;6O~|)6;|MsvuBiL7r8n
zL3!P;4U8N)k$G@oNYzIQlrrp}=nJAn{-(#Xyo0$=XyVJLEmI2k`QSR9eW62(MwM3L
zt$WatPvpJQJ{9=o@hR(<C<8K-H#7N>%Z<uTJ=vkZp#t;u>hfPa8Bs1pWb(&N9<(BV
zVS-;k1#0$dGe&)9LZZ*w^%gGkqK@AI-BRz#a6xhL!ara^P7^`4cwasw>li@sbtVJ1
z*q?W)HLM8DC(#9^^CMx_3vHhKWC&kx%Ea5UBMYXIM2SBFD8^-lIk1@o%tC&*7T7ou
znKk~UuD%c=BHkbSck{z<E7vF1zqnAnec>QOr7-%``0D!dNfO|S_D9q^aU=UU%aE+o
zqDbLEi|_{=36wu*nRH*|LD^4VisFU$q7M#Px5BoSA?~gW%~TjK61^Cce|dEuS~V&@
z%<@?o+_U~$@F?X&Y5f^S{2St^z5GLmO1?5Yv)#8=w9bzn<KlCqxh2seJ8Q+A=gMH_
zqe=JAN)Q=~wAFp5NTJf_{Iy?@GLX8)j!J$JLQ3%<K<6%vcDnq;aO=u&@8D*qu#E_k
z$^FWflaE8M4N?sJ6-dA^wKo>q7Dax`5<Z+;cqHNgML@d0`^C-cG6|AW2rQ4P_9B+8
zDT(IOvZ!e2&#945B#=o`BgZ7}N7ILN+ao{9A-|j%o@NRe)}pn|{0t?KI;HUCZy5rL
ziCg)!r;-d?9Wh@!jU~~`SMyrZ4-`<h<Mr7a4k{3OudMr&xfJ?kdtCMEKO(X-rDX^f
zr@*f`pW$Cl(&*JtgZfo<CG_Tz;aBA?3jCHg6i)NQA*)9;Kd-qdqbn-!&ULS<0(a)&
z1&LTZDwSGzdQ^*qUfbTupXE`9a5I}>`5YP4E696_J(q-}dTRPgOf(>3<U#C*Vp(*H
zW|_TzfrOm$+#fR~XhO!rxnRX2ImEPBWZb=%jK1GI^hak&3oi5Ccz!fV9=*N35}G4M
zMpbfDRz?>c(8$BJ#hxc1?%2IWG?OH>Q}?4T<d-fOc*PMe@hYHuT|(tY?~#yQl;+{k
z!}?$zFkP9Jq<|DFS+8%*DI?|64&HMG82moGRFXEMfRLNo_uk7&h|%Sqg=Qc?;^V4k
z41z?&!y%xt9Y;hC*>7vvc?>{A%uryQnTRxxOmuZzA)tEC%UQ`W2GA5ePLcSefb!_8
zBdd7j(4d5WbHFaIvHUz2;%d74?td0Z1#x(^vs~+P+h~_7|5GbElR-e0BkU*A=%vwn
ztA(!5-iGjO`abb&gFO28WWs#PPXeuEpJi!^+~v)h#cj2EIW$ZZ&l=ma7cpokTZ`Q>
zgql}=ksqGPA|7|ooO(YYbSuR0D!3bhNPc^>vzrXk{rQJ_><}NC`tds0O4AU2(mf4s
z7sez18*4#B{Cm)8-7JOr-9AbA$UcxNjY`a6@q9E3Dsp^owDrOOPNg1iKk6ifoEqQL
zlj-P@D);`^8Wsld<dI9Y53?k)uKeu9+q6m5{c5pudI8`}q3+N7?&7F=DfXqa`4UzA
z@1NP8Xn;MY^kl8ydr?lQ_t9fL)6_aOs#(J>K3_Q}9o}?N6n!iWe8Bl{nA*v0;OP>E
z0g180^Q5>iO1U#Q|F)x#y8O<~I<H(Gy38CUk8B7a;nhUr&pVyeoWAos;*)wnzTP}q
zNyCrEneH@x$!(<;*CmTG;Pl|^U79C%NxUfJW4D#Bbu(2rxc;cDqb}@XTxrT(ZgiHd
z|JP@xW@=1YnG$oR4(Ri<a^m)Kq3!hFGjkp-)Wd7>e4``UQ14);%IM9GDwpah@qKO7
zHRh?|ezG<+eq<0=5M)I!o4xC42tTQ+K><_q!CEjGADClL%Z$DpS~133_E3*>@`$qi
z)P#G4s9XUOBQg#a>w7HlmnxVu=EX|Zgw6^5BZcYoXuhfB+dqRL>Z`U>CN0q#;G)`K
z6n=mXy;qCBQk^kMtvr#Oqq(3CfmVM{%SzLte;gqO|70hq-8G?E(st?)`ZPY+LWKtX
zsvr;U`94kkD;`zo*`NlWrwpUz`?jg%8Jnv6N9U-PtL^smnriTFBg8r@e~bF9eeP~6
zwm^L%bM<#kfhyp%L<b+%Z&ELaURuVCmZ%rm#yL{(s-P|wo1iSeNo9MY>|buPLbZRs
z_5MZ{1ybrfR3pD_P(!M{CwfBGs8z(21T$$0$PBS>oPD!Fr5v=w)7EWJIS<v@2;`~2
zCjB>gt?wJugU(*PEYjQ5q+F@hdXft0KU(LulG~(~9nozoG^auC9BqA0Rb;RtJ*2!S
z-K2K)h4Ea<qD4kWhApR#k>S?!Z@e8hwy2BiP1dfg^k`6en%Q%J1h-}%vPxXprmp`=
zE%A$FK<jy21?&DK7%Nr@_I<oVmAWJp^iGNi@m@OB^Gt{YB20UJy$PT}lOdnWFLpB{
z>z+a_{;SGRvbSK9-h>u;*$@}G%2<)a^;ycx4@&Ug7yA`fA|2vvGjz2pV@Dl6Hb<`P
zQGy>wZhMX@(WCWGnF;#+oQNay%3SXyMK~42IL>I!fVSJ@6K2G?k)cCEQhWyyti8?~
z^2aiw!WAE(uZ}zjXh|Wa2Z=zQeS%|LWI`1mp9k+CUc@;Yb#1&(0b&Ag(QpQ^AWK@^
z*+G4N<j2pUdh3J&w5QivKb2!c{8fzeBRvA>dx+rr$q53K=ecxW++j!e?(5tPNEbr%
zF0MV32?P*)9{>F$9T&2Ar83SLDuO0X+sg@>6F|)9BeS|FH~PpdUN;vlhVEF*J)YW6
z0B<#kcJHG+h%ja&f4F`hib#x6o}wo}-8c25@MK;@;9;Db<C8!hX}yP+X$ipmLW#^x
z&yUjBKbf-GNg`4u!_hN)382^MP?>dC0G)4~U#@&7g{HmmJyTW$c&0^uUq}{0jo(}9
zdx$vXzTigQC?&vKA>P9CYr@FBdG%>x86H`3=by3GSAcxMM8%u|QS?Pr>AKb_S!BAC
zQhZ`b0n*ETPS#KDMSlzZ>KN$dQO99I+_Qcn<i4-2^A;6HUL%K|cYh?HzhU?I&6tz`
zakkugS0aIoBQD#}g%FY9<ngU@mz2T4K3iOIToPqhZ2J5#RzkxI{OVS_IV9acVXR0&
z8tr{}(JOXK8Cis9xJyQoVYu*+n4d2WnK^l#<ZdOQ&n;foKKUvz6QY&a@CA=dr+h!~
zM3a$|jYhT73I*KQVkO>7$f6M$*X&q|3etUP-d%oC4f?+yP1L(8hlHmmm>;}VL6a@_
zeG=(4;GE1ITA?y|v_GiMv4Dkwcs5k)H!3w@WB5t-(g*?R|Ll$XCqqHPQfGUDqP0QE
zh4)SAx&q3S{bYZUnS$JwtJzmPb%9Hmo2hn`h<c7*=yT6jK?g@{zrH@D4-&(9W0~2C
zD0POkq_{ywbutMdG=c#1MX;41r-V+iH9NO*kdXznvOU_>d6tjlO7lxfDEf%eO{h{v
zPdJN1Y(5x(J)4_F?nNbJ``v&fvq(e%R>60zTzCCwz_^7&QVCt3ton4|mpob=oVg`3
zV+b6=<|A{_iYOv)g~L8l2A$)bPLs1Rg0?<|;Mxiz>OQgJ!-JPbd@p_=(}zazVs!n)
ztLF+RCW0xbEma(i9}-dv%{GDz<m@ixKtQ(_pzeU42wLFPfr=y}h<E+Kux~;RX-G-&
zrrYwNq;-)Khb|dGnzjkcH7i;4aMiZa8P9<pJHG9+lQn|IJvz0*1$fk#Xc9^@O@|(s
z_$6KVW(aTMbu#^zr4hH<Svm&QWvY}<dT+_@T*(^mLb)(0q-6JuVi7t(4ON_$Sz0sz
zad55Pc_4wz9fy4;@4vy`)ujz7-82B92A(eNj(td9a+*OjX#gY9CKDdh8G!8Q-r<g7
zQRJBZ>3&iFH0GY3NS_@65M^ronyx|!#T-ki&mLUB-Zn>73vvOp{^WhsxX6zr*8jVc
zH?xc#m*2j6KnVjs&7fc@7hY8Eu+l8nwTg|#-uLG`s1G_9ed#q=cXdaubIhxE4Lh@P
z&c)JA4^moZ*UmSvqlkLxbK)xN7+ag*RnKT$(9igJUT=sQZ3=Sm-)C6IoY&Yr?WsCo
z-Byrq;lhCA)O$7``mbS0ubB&mm$gB{ksRD^K#QmsasK;CR<XO8F>g!MwBa;m$M(eJ
zCiURP6FTvR73}`7n5%Pu7PKuhhNUd7P~({Rub4C~V-(g;S@#<>Vb9a*5}Ah!)E5ea
z!h>Iyu#8(>oJ}H{@YzJ;o0H`X^-el}YUa;HjJEjrSmjj>P~DWiSLQoLJvseSTyuE=
z<G3C;&()$1v-~p7H68=hbuWtImf`}|a_s@FH(4Fzlx(!=6@F9wx18-SgwA7Xxa7v{
z$7*2qcOzf3s+HQ=Dd-)xHiyNfK2UaNPy<%x&7G+_M0F8~C^Lzh!?bMhK9Sc{K_Z$k
zS{e6{%2YL8&}}w{$;P-F{T!nJ`K4=CbYmH&rXCLy%5&HerkZaG=P2;#ve-T=mj<ls
zBhj)^Z4L_w+Tw8PRe>_6`@wGV-?6@9>S?KtbC@3gbv9dj6*wbc@L);h2d41*g?U)<
z945MM?y%BNhT4OU(w9bmV_fzTC*I-bF}Z(&pCsJLV6*kA0&o8ZGxKE_jz;s?<tLT3
z)OivJZjAph?)ZyMt414U1}|Wdo7Iu%HVJYX0!|R72eBhO@m-%UEMj2+<XRqH5?q_E
zxi!Nuf)$J&m(lTG!rHlRn;t&4%R6IAuEi2#7|RpUx;t-|F};DwxvoGZXcUOB7diY7
zGdk68l`gu9r6tHj*1S;!6^?6S;bD_lQJeFte?@DUzk{{#@-z{C#xI$Q_fBI>_a+Mu
zU)#XG=}lQ)Ars+cGmS?;{w$_-!+~A!$`*Dy)9@D2Ujgp=KEJ`UHHUeB);^_@v4iCb
z?)TUJOaOe44F9C-0_I`qBpk_13zC*}ss+0~b*yXgX!YbG_C)={ogN1|sO~5|k?AiF
zBO^(Q|HUn1&s*yPC%WljP<OBH!CpByZR=jdd}bAMO?2Pv3t|Mtfm^BFCUW4gGHu^;
zY#qDZU*V~Jlo^Z_>nvZD%fcB2jk>5yo7msKwp)D%Ss`-jtt^2g3-$2@esopa*jV0U
z;-2g5(3&5)^sQJ1hTNz6j%LvSe+FO5)oxD659L?@Z5c30dRG<BKnDj^Zf-{Eb3@U|
zs)oZ~@!*woB=cY-J&bSaw<s6$K%{@ykN%5z2q-u+K1^bSGNVe3gadqFhl)EX{CMEs
zd91%m%M9K$J2nlp0zmU1_;+y=4ldkMEw|cXfoB2CBO9ZFAoWLyjW-4dO~2WiL=@Q}
z`2+Q}?}jkM_9W7HxZ>bhU%2X{XikXab@+A%6NByN`Rf|yI5?c<bNZzKH`H0?Dw&q=
zgUS1iIahY;Haep0At5|qk2O8*Qjvhpt_r=Fi#Rx5GC%#An-3Ht^ve=+C83`A?2*bW
z9PoVq6&hE=4?VRjJH;B(Fx0QyRI`PHiJ?_#hZI3@v*FdgHiCnv*-<@|U_AKVOH>w4
z5eAm$PRVEA$Uw{;?d=N`8Hmm3^{}fI1@<pVQa#CXaM-3Z^{$vKl%(4{BMI$;5R~sf
znM{CpRp$F{7|4O1k7!wAqBvZN(=DqgB!c(n(l@z<^6)<Z009603|DtJ)o&EHx9rU9
zc`xqe+Ut8R3Tar$h)|JHXey(Wh>#>n6e?v@Qbfx4ghETy&q&Bflp<vm@$>I_&ig)}
z^FHVOjP;)tKd)9$f<pdVTeRNj!kY(~jsv@?5Vuv#U^-D5E}u3UERUjtkQiCp5Um4F
zcBcvn7F9^no?0h=N)P(x*?Uxf&>*Gv3|vT3gFqh9QiTM4$f-X)Exbbytgnl7$x3O!
zH{oYPxuFag;tjAm!p?w?jfRQa$~1xOZAopX89=wQ+0Mo;12DPrE>+Q#0?z)P-p?Bi
zAmL@F--(Y#Q0BI@F5)2-)Ul&%QQ8pf!yXUc;WLGuyEERCGCFXiZBj5>%@8C#b1$iG
zHHWek2@7|3U8pfCDQoC80E<T2_xMUns2U3vn%zc&<9~&|_!=6(LQ^yOiUUBy-En?U
zm=0z4zjj8`88Ft)%eh{K2|+K~_mpp-gU_wITrur>Ah=q7>vk<`sNJ(EF5HI>Un0Yg
z?Ny;e!%V+suz(Hx<PuLx1UlH855E}Ls}1Z!)FUO0Ht^^Bv(ApMG;leTz^<}R6P#Y@
z=dE+Fg;*Urf7XI7P?^^*2`#F?J3G<&!CYJLzyEn*_>m4Qxi7ADjZ**_Z<(^2wYK0X
z;L7@jp$+SJ;AV4#BouL|rhF(_>EGgf@zs6`^uNleN)ZwU^-1H~%aOKlU+k)QezNAu
z`NV&k{OoXEL;GsKv@NvE_7|;5P=|!9xA`n~lf*l}D)loZHZXQT?5#(nDoickPwMq)
zA-m>3I$zbafn5^{Pda>*A=U0j#7m`Va(4WxTur_;Oy*vzm2*>sXuAtG+*AKZH3{EL
zgH_gWq&`g5xmFIom3Z`VhqEK+vXTxpjtTZdJn?x8QowPn#!B@L7mgZoSR_mV82jy^
zj~|u*%HBM_<p~}<a{W=ZW)Q&nRKg;kAqr!?HFL+d^I^)aH&6FIC*Z={9q*C?Rsp-_
zu>x)bepD0xyR`p>6?oV;Ntg`rfW~i!sme@#+?B6bTJ*sZ-X@$-FdJrvfVI0=UGw?z
z!9&;l2eTHyGnZ6$pIjn1Y>wUS2<J!Erj8wA@)mGKHENqk;VkjrVQtn<MSiSxAU3i%
znFIT1-X*@uAH=;1C$ESGJ~Zu@YrcEN47$k-Vf&In!Yw2)r#FBP%_!@>c)c}+f~QL8
z$=*U3cTZQS2=ZaPY+tj(8dLB~cipF4`;^QN|M~=5d69FY(_nX`3B<LxTY6>nlCK;3
zwywF#ix2i46_0*x3?7Dt$$N}PN$;4`!MvHg=(BcZ9cad|n|El-qweqIM&7|bnPOfH
zP8pYD<QPH2)02TNLDS^0zkt|MA1|sdnH;;sWd!d=jwd!=o*`v;+>~m}`B3kEKzhYd
zL)iP7dZFRsJXyt0`}Gm|kl*4S?}pzi|51P1$7%Nhx$xM0>Cs+({N5u%Y}#)CI$7p5
zVbV+F+iSrFaq9#STBy^-a}2N-K6p{Wn*}$FemL#uAcz6(&DUJw8BiHqqrU4pE4G}I
z)pCzoh3j0lntKT|z*1zRY~Xh`TzpaBGWlKz^PFWx-d)!Rw@-;RNoE{K@e`}FuMkFy
zzYALitn@)I+%fUjSx)?1Kbg5dT?DIor91ER>p`q^bXCqzE^KRW<o|L?6o0<jEp|LX
z4_rkqoHp9QgHbHEG|DcDq4F*H>O#6692@F7vTKYNX}t+0{Y~O%)ceBez%U&=K8y8S
zN#MsE*^7ylt5&01jOoF!d^${ReVuJ>E{Kzc#Av`FNqj#TBq6b#4wrcS$8v>)FseSt
zPUoK#K0fKJDXK+>Kb_wy_MQ+%PoDs5o9i;Dj!wLG^E8-cS4<K=D}wUR94u?Y<nXxs
z=c>(>G`M6}8Vz?vF+{1>A!4gMy1v`xL7bog^V*b&|A-jgAF))8)mOv|{t2RfAvCBj
zd&PK3lR#AmdPUuOCG5&9Dsb3C13sl;pF5eWQ6=cogy8{YB)qa&N787JEp;}SXO$Ed
zx8HAGcSi;N)Z6ug+GudaDMR6Wku(-Xme@AUsbU)KpM9AO9n#y}Hr;WO#k889-F=(X
zF?yJfug;$i!IOQzZKc+r(o~c8?+OjfyOeXbx1J93Uz(2Jo|ng}&Pc99GFq5A_ti?!
zKo7*%&`YeN6p<#*OuCmyL6$f-FY87<NQ1*FO>s(SY{byKKS{+7pB=)?z4{<hm^!AP
zu8hjtuc~Wq(!u&Qosls{4Dh5~lXASSf+eA+{9P{T;?d@`rC~V(_~7=cUAkTs8xlB+
z#hYo^|E}tKsgfa_4;}RT(WQpb|H+pL2h#CT@n|cztr0Z0w|KaISH}-$zD7{q(6J)j
z)M_r?7-U|Sd5QheK*3AN*@Y5%xK8a@&T^Lta8d^&HqL0G58RuGG19{|hhzWpFwH<R
zCwEg`uNG!ObxIUf4;zwX`!-jbgT=G3tu8kx7|eUQGj)oNLeHe#j?pY(zrEYHR!1r(
zD6r)pJV{3%)`86nMOHv{ZZLh`LdAxV$z;bC8V(&2E7oNP2;+Wb+qYU9Z@1+7s8V!M
zD=8;F{U!kKmBz$RdfM2Xd#FC%NE`d8X?~@qOi0o_-e4@LjWb*yYLyqYknL=Yv27I-
zXkb*O^qh*O!Rm%_X&T7lY@n<qX$_`5<818&6%Voe^7dF(#XFV<RQLE;!`G6tF@8xD
z%#QGklnqiwWBb((CzGsU^&gJ6R|~Z;Vf6gKj!FeIwfT3CmTe7Vaf<uMEKNLfx-Z<c
zO$JXj8EJc*v4*;-%J-u|8d#o3-|~sM8aEr9aeoqQ4NB3E$Db;zqf5!~vx^F%_>}LV
zSc!o(%)xTF=xbHH;cLfK`zC-j{;9cFCYj*%x}1OWUKPA->tC;Po(uO=7jH{kVZvf^
z;#GG+WxR2drpz>A#qDhxnd@wr5H4+4WLBYwtIPcsWzYX1FDOX|@(clV_YjLjjXW+N
z<l0hkXqtRuWOD>#0L+g{W(85?P<!X=P2rv6WMF{0=XMEzAYrF>+n-3|uFCKL$@oF?
z#^0xwZC(U~3`Zq)9+bql&#C*PB)dpOhNAn-87qkGP#GU`m%t(ZDa985H{?6dG>5mO
zC7fV#Nm>So;jiRCH+|+aQddx_EqcxZ3R>NTqH;v=W&Zv3v<pwkT@}yjZZj-kdkC}Q
zz_bt^E0^&e-_SsgQ=X5t9WaON&~V4kT!L6(tfZ=S>^T{`E$W6uof+gU@UyN8<-@t^
z;x&!CUy}iO*XmNa%piRHZRmmw4|)m?*9{xIBa4dDBPd%<;oe=f2||<$wKMOW;fU`h
zL)lE${8w%QuTwpnwKs6!9%ah|m4W@_<7jV=P;L{D+sjI2X=1}#HV+XFzaf&XiO$g+
zXbh#pKCZk6SyAcks<!7fpUKG@)jN$ZjKIlDm(t|Lg565vI!*@TWSOC`u_eO@%*}Re
z?;Ttsg(oMsalD=&eMVbzMGFkU_r#?x)u4Z5*_zr%G?*fFMsAv@ix@%{hkyv(YLV2?
zEGRJ6m?jstUX=4qGyvBkS?xr>1+vaVCE=djZ*pI>u*~&k1{AwF-QM5wmpl|-`R1bX
zEa^iizWW@*fYMVvS9v4<k~x$^9YyBzq-xxSC*n)`V34u%xUBn1eR;<cHS{mZ6wA_A
zKdBFkZ0@sW2mX>pN+GgRRf}Y9$7qI_fIc*sPtz(_?$;3fk=?vznOwi^*WnL2dhq?)
z*_2r41=73KY>x9k7A)0!uMn%H2WAawd}{?4Nft|HMFx!x4eir9*j9KlVz!gbePNM&
zcrAm^y^tMetGA>?xzpjomV0LTvP)#!gQx$zbvQ9OtYzQuXBxN-EL9ZlT_!iYZ`j<|
z$%XWhp5vk#G;n_<A%aI)(3@?eoMRymvOoRCcov}xpO)9&_~pThl3yNWZOY(7hxc(O
z-5Yfvn#Lc>=gNk{u{p^vZVI4Swc}G01s&L3sT3L<!jA8YqpUuDTZNNse^dV?Xal#t
z6+SB9Kqq0|s68wC>%IFy)Vi4!|6O}?@5CG@GOp|@DdiMJ!538rrX#3uqW00e?mlk3
zcJhb_SCkl1N=76X=PAI@==c96!i)ZioUXrlC2-K@bWc_~1)Nlc&Bl6G@P&WxnSHVv
zMXt=R*J4m0X33Q{^GX0Sq7oZ2vZc_kVWWG<m=<h2{yEOz$0`i|eOb^rTLxX!y$)@y
z(1J*h+(!orgfVK~|BV?bhkF_uo;svyL9U8#jOmC7x;^)PQYNN=#0*dLa=aFN+Il!b
z&Q=UfqPCXjyimmF`;_u;p3?%eHCH#ZJ{8AC`Dh4JR>qHq=qVGV79_1UEAH@JjrnPh
zD}v9d;6j;h=AtkK{45^5xGX1ySzA*Y#3j{G#-8s$dNKv3PXt<9EK1{RnAW3Ks$+4Z
zl=Xlv70NDi4|*@jVrXe!XNaFBvi^Q-P|T$bhwZ&~ajD2-xXKu9vpfZTQh8YauGWD{
zp0R(A3>498w}o@dC>0-Ozw=fO)CJzRpErFCQo_NcsNIv5I=EbYvUu}f8i=mVyM44o
z8G8@#iQo|$Zu52Dc4>kRYrEPMIObGvpILJA)I~btY{d76?D{abt#L$sqZ(EP8Qp8%
zp@$a76XR!W7_cF-=JW2G>c}#6&DTpxA7g{2qM~jaK)JO~kQ|F9Uc6Kvd8=F>=i;(z
zuUi=bO<<M8Rwpgw>Wsc6C&|EQ*@t#Fei_5FhZYH}85E4Um3>!b69Yp|?rr6HZVDe~
zvbDLZspvHvy*y{nz=c<N8p-A65a+AbQ(mKuS2GE>Y!(I{G?M3(zHABIUEXVj(sgh~
zGv*^1p^vQBT=h1cB*2F_^Rr1?7lpeG(gt(%kSnH)mRky-!tEoKovMps=S_VpV(55U
z{(CuboC*H*$43lr>Y^Ggv+lCJE~>{*-uP!`4Wb`{xrU>3(RfZJ{edwR_g822$G^9R
zIQ#IA|FP(z#P^;<-$yhs%wF)qc6%G>zHEMOH&X|<Uwt)F9jS_JwP!~ovut2)fcMW7
zp^e<)?(2>%E8;`|uj<bl8}MiMsdna|V(Lj(k6=$({L-paWVTX&{{2pZTaFfrFOB~k
zQI)_DNggBbY#Ye(e`557OB1zIV*Anrgz$yKn}EX}Hc*rLA=cen9d(_$mohXtQPApC
zi7tl?RJTaP=NG8rrhwR>-~N9{fuf%qMXy?eQ2h3qo=?g+IFMd`^2{h1ZekN?rE3l4
z7sGy!t12N2|3IMm)>FjCjJ?04tC?VZ<>Z=(F?n=YW4l(|YlwI?+xN=Mj0xuVw^28j
z$f8LOQ?Z19iuh8#FJ;#gfY#byR@N7!@X@DD1H}?E1gBt>Tmch6^5?ln0hJQiLt$iz
zUYaM)t_xns%OF4{JL`TBhZqW^9^(=o_)7%#v|qk)-3p{`ML*<B6Gq33iLUcni$u!N
zuqz&D3Hqj9XRhQ3V8S@+c~mYEK8=O`Y9khq?K^I-aDoT-oDi!iFI^;H{+xugumzmu
zI#pxR!GTZx(#+qRFA_1@vj4H#ngef8x`pvcR{T1Car8mb0@3(Uy7BZeGgv%jJG?0O
zkG$p1D5xm;OB}dzI@`9v6jncYwX>sVj(olOn`iRFKZJXGgz|HKQ;^)489>$jMea#l
z$RQf$iKA4HO$FX2(0vdCj<5bf#?=$jgPn7PcJ_KQ?4B{?b^Kv5eKtz6omWk;UY;e?
z?noQF5io}RcSGvxHhdyijqi#pvYsW>17^G<_ZY$5dUDrcwg1S{PTFRp;u)ggR`Mf(
zcZQH>FB;<e_ZgYn|MFC!&J1CfXT#=aX$Uouqrdj*UL|{PU(ELE{Y})_nP@Z04Isww
zP^3V54Y3o_ik2#V6Pg8EW40(5z);hl8=gHc2=%V-h1qw16M3`u)AO<!@Uu;!znlL(
zF~2rf<Zah)!sDi8+^`4(`VU<0QCIpvbf@J=Qz<iq$SpA)zH|EUp_ygjzt#c5e*M>J
zg_|=(9mDh9Z!vwKM6pQPWegEgdtDSQH_sA-EwQ61xq2XGU*OOw|C#Wxo9QJ~=7^ZE
z0HqpLJ*d4=ai-<+7vit|u?Y>;d17?!I?m8aI{5R=KRGD!mFRhTYRt~{4<Qqsa`=J`
z9W3vPd7Mn1Aaa=@&s{425)6|rf6odU1m89M#3MLKR32NiFUV$*`2EtX%jJ_U#J;wO
z_3W4;dM@~~$nvh_dycI>!jifmTpkd+PkWm1^;}p0b{3EeQ;9h5rURC)O0g3;zlg5C
z@`-s0tZ-c3R`^SfHq3ruhXL6c!r;nsW3@LMP-9oADveOVb(7}T(ArrdqoL;6bS*n<
z9Q>!f(})VE-7oULJUCA%7jcVlSaQO`!+hVtvlMV>j+6A-@|Tb+o=l$p!Ufh_X4HG9
zw1CTY&hgf^MPkG*TT;HB2SkG#&2M>XfyD(Du9F!{MDydcSIkB}XnC-~=HUxX5UEwI
zVTopeTkhX14lM}4Hl@{!^R}8$HFfKOT`Mcp^J|>e4;2E@jNlVv%^GlzrKEDfkRAGz
zm=AC8i-7m9yUu5}Xu$0_%P7Mp4k&Bd(R}!XC`4G!m&E;02NrI(V%x)9kW{GK)+Q$o
zSN30@Up%i4{ZoG*-gDsr94=1E=#zkE^7mN0ojPc=ChA*x@quNW{<#OulEAvksQN!X
zbr=zh@*X-T03U+d$F2IM!Q-eLyUZswh?u^T+5B%6>`^Sdr>ZIk{C}=$b+@WPY8>}!
zg?3>Ws|+{S&65YkfTY*LFV&z)KDxA%DGGTh0<nSD6+xVb%VNV9HTamdF30kn7#JLR
zRQ*#z8FKyqG?pr>L-oJ+Q3sPG;Aq&uxaBn!aC_li`YT=?QmXt_5Bo{Nl}0%k!wqVX
z;$>M>z^4KGPi;&4wOtyT1yiiQ328vuZI0@p1`SZ3_$Nh8l7&<G72rOh2?=a>ob&E!
zLc^)5w%X1$;IH%BX}*sF{+|vMukY7_z3nx}sTzu~v^O9%Za^EFMud60oTy+e|M{)W
zAtfm4Q7zg!t_!>4GGgsSbin79+muq5GBm6`f8j<H9j++U_u8)bIuKpA-oZ{4_UO61
z5IU#_JKvpsTm6a-$@FDG;YKz1KEI>xp1(ds`!EKKjr2kIpqka5wHk2Rc}}CwfB{1(
z#EzM_447`=tbg0Qg7+nZ@6QkeVj`IAS(gprK&S5pA!`bBFOR-*^fQ3_esNES&l$sB
zYfHDirBv9Z6j>8mU;xvx#>?x=O<@Bw;A8KMHjt0b6#Tnr047Q2bV3HqVYD}J-!>^-
zki1yj_QlcwUW&2zD#=+vZ`7)~N=_Q6bX<H+rZON}Q`Avd6F^U5Slg_U1{4FKIMD=s
zFbQdxKE+tkm!nM|r+Ddb|0nUle8o3!X<?j@Rkw!wvo9jfi_n2XEp*c=AsW12U;WHu
z)*2%89Ob|E(!jFt^RchKRB*U-W@l-h4TxD}oS(I%!IPjX0X`ub5Lnsrl_72m{ef@R
zC~wpS>W}+e?b}qK@x%#&>1_)gyX{8)3G2YPR9Dn7l!vizN2i(lZ2{yr8>wYc!Tb6?
zdbqwM<T(m_+2Usl5sceX>xZ>~=qb3MW-kmb<!fY8HElt*<oq2C0ZkY;I!$TZ!~tGg
zYfM<**+5<QoNc_EI=r6UqVys47op#ERD>_c222kaggGjy!l%j7R-r2-A*cBSlD}C)
zfAPNELh8!!7;foOPmPh_WOh6*&>FtPXCF&7P=r099|L#qn<MA)(?;KXWP*dzX$9pH
zImk>`A5HtUOgaRHXPCP%K{_Jz>9V9WF#fzaExwu^#hR=&qgnwR$vv%OPb9$U+|#-t
z;6!ges+Q}@xO$WYmS0yzp+hL|W^)M_l1y=WYZ3w4O-a+r@j@%_{=@S`G&eH+=OquH
zvx31E=8_ih!4t}lI_Tv_Bh&BO1d1&oV|;kl;V37tonz5FJ;sghjXh6xKC^(G?uX8}
zQ&^$GnzH-k6K<6AIC4pF(i}>w>gS(kuIMh;rQN5)xl!o{@7WM#b5P;3vn#stiwLNe
zkgOKsMiE-#$2Y!au)%oA{lx39#OrV-GrNonYaT`ZO1owXruLS(T{{K{%3<HEha0(2
z(ZN2MbIJt1Cd3XzNHr6b;!_!>OPn};q=)~SjR{n=fBCTIRSo%7E%=LFBPS+?A6xjG
zZw&OwvxAlLouppj%v3@lC&r%tw$X3N2u?Xqr?i_7k*)vYrFQ0V;&sm}WmP+kU{X(A
zFy+Y@$rDvpf3TVpqkO+f=e{+BerY}ru6sYonEjz^i+^$=^+LtIw@gDgIaF8WEj3N9
z_RU#}+{}faMT5R*))+voiGoaG>2K1MjLQ{j=fa8STOS-_7{J^#&mKFOIkF}Y&tx9v
z#vObjQjhO5;CdBrJm<bYr03c4n_RX$cq=?Vr_F=`mn>;x+v*lblVL;IL}OlbVyV4U
z)u0by^?T2mEdL{)JxIN>-jxrRg4t~MJL^MCpFjJIG7J7b(RKY%4nOWx7^{=~tOvrr
zvyBCgtT_KXNM=8;AUeF0y7@R(4?>#-AGpM_q1i;T^roAu@V+H0OOmV}DBQjwomIz<
zAzojD8D_$0+V;oz)=JKO*nR!d8(vO~<lXF_W-5Z8HjkBT528ccv6n};gmR%K&lgq>
zS5d61WA$5<po3qyP3@jxZd^Tb-;v|A7>0$N-Cloz1~wPpR=FMI#mZV(68|8Mls96&
ze+6g|m2if+R+S&Mn87A**RRGq%p|U7nYy6nKl$+JuNB{z)*SqyR}%LOyNQKr>Ou%>
zX_MaQD!k;n_2+--(s=fYY|()>9k}2auKn(qFkTHF&2!l$i@y^m%FB~i`1zoTOj4l;
zPTkcItMOZddbV*Lnw~nadEL*#<{nYh`H{&>IiY~-_(#N?K?ls0YYs|L#4+|(*a`j5
ziWt6%Z)udN1I9lCE)JiUK+%I48m)55s8JhvfZtySeuT|gg-S`{pQ|svoeok#oyPM^
z%t9SVK71tjVT}~J@1pF_Yf{CL77O7BE?xNYQqw=~pbTzc*?angzB&f>3)^>Q=|b)B
zrhM+ra_B@zjtt(>K*fY1F;-_9Bznvr=UFR{RDE?_4<jw4IY3*d0v%SV#s^zc717A;
zw!^w63f5ocdfc|+yV7?ZDXRu0l+^A`&3Dnp`L`|k_jc&PPZplxAb(|KW#P%Z-=l-m
z0hK#r4fNrpdH4qTGb-3x{OzHt6Af=3Y7DDUU*Y?YcAJMDsp3be12aKe==fvcG$+N}
z0Ay>0)(lRlVaq}YBjyJk^O)HU>5+yoQ~Q(GS55;r#6%q47^a8KEYyf~Ek-bYdO4uN
zMiXznu%yK|>)~I@(^Z@nCa{p{{MTih7A{V;t!bavLxpqC|713s0(pGL7QXEieCebp
zoBKx(f9a}+mF+Nx=<j9As<u@0FEF@svPlp1x|?!&xh;W(uk~>!yEZ!CU3-G&u7@<o
zLdD8rD{!h4C(5$5@z*xFA6>WUn5-#LO~?Xpa6VMvnbpP*Yv=NhU#8*tRAt@S_W;FH
zGg9~DbZ~IJlHS8ZI=J?YmB^{1Ot_}mW^2W*gZ=wnAJJK&;I;dC50T3nT7q<n_dn3a
zI#WSPvYjUS4+oXk9kd4D533<eO&e!?l9i)E)o`;z^_1i@YsixPM?dGYg8#?!jaes^
zF{N?fhSqOuxF)a^;1fW>@>t@0l9K{@rT_Up%5DQ|htxx7&9u<nR@~rCpEQy$DMO_z
zx;gYo$e?6W1Mf^YzgKD(M~k8hkv(nJ;MU^O?47KRKRrGlYqS=|QzwdF96WCgu+xO(
z5K%+<3Ay8JD|zcg!)n9FYpuartjN#stO~mBkE*gRV#OGXK#5mhnSk45cGUALqj2q~
zS9OhZq|kvgqQQwwC}gO3?n_fdm$hE*hngnHg3I4J-pew9OT%P_$3Px0PCL}-JnJPj
zBAv?XZvzZF%$!;dl|{|K{%sA}_sPr8u6x^B0Wg)X^%k~D;o^sfJQHj!M0!X};9@=j
zyPW)t>zr3(W<<gh?GIf<x6BV$l?E%wD=6+?$1RSBYM)cL#SajJ1!iYczgogX`P0U#
zZz5Ql^QBqr(;yKsv%}Fq$`Zu3`0ou_62d}*v$ICmhlo<sz<akGE#S^v&!Lfc0c<~*
zxvkrCh;Y4%-!xB|gNw3g;%#4EWN7*5zhMp%CG<eP`X)2D6VcNbm%)Y3Ho0H2RR)Om
zt%v0|@tHx!w>!lyq8w=LqSQL@^#ifPYmIa17E^#^M)%!*R=nNnr#~s*Npw^P^yL(r
zz|oFzdfUJ<`R#D}vyU@x35zb)j^0IMXm%^rIdgoGv`vrfaMx=lx?c_l8G0Cl)kuYA
zNY)=x_>V~Z#S1k=Y2WRfkQyUkW!1{B5uPKXHYYFIC?*nbb`8hct}%ko>xR3xfBQ}T
z4*&rF{|uLRIMsg?$L&3?z4x{5HLjU`kDW-iM1zQ|pCnWgDv^eiy(4KTqm+v8hoo#t
z$lhCaD(mOp&+~qs&w1X@d7tw-e)W3)hWpDgRe9>s#8?fOld)^x6I{c#X%frndF!!n
zV`&zW>*_G^R3vscWd-xmdn4PQ*oHZMV?ga*>d-=O<#Eq>8Ot1VIc^`+g$;8&_6_M*
z10^S>J3h~UVX_Sz{6AuUV*Tc|B1;Zxa79qZG=z5%Yp8uc@1Hb;-5F8)CDEx0r~FmY
zJSXR|#v@%H-n5Ql+aHbESL{?_;>Bv<ceZ&9EA%+l=s1Ciwv~Wcj|zBQh@PyzHHXC<
z61XurHHF=G=wf3$sRG8TllcGa<}d@R*M~M^XR(ap<I*y7BzRinqTzRH4tw?w9@y(G
zVC*3@Aqn9m;7=0HI957`J>|{)UBbGA#WIgg$T5+iK`6p*(_kJmB6e~xQ?6j{mF{0g
z^p(N<iD&5+;{wK;81Hc<aTOal{b>GqfD#Z|33gn#MeKdBLlnREI!4u4(vVxA2of)i
zg4=9<Ve0U7Zf|!3qZ$1(UNWoz#~MqXrM4_#rs?A+Q>Qku<fHW7tr7}wQgcJtscspQ
zUt@omu>Kb#T}%1Cb(RRB-Vt62)hn11K9O%gaU1)XeU{$f9RU`UOx&D)u3|YjS@Kls
zE|yi)6p+tCfLiT_!C1a^j9=|SkX9B2Dv+KJ)%TW%dP<p1yGt8bO1qQm0239;^(#H8
z@l_5+Jl;^b&}?F1zh+VlGO3YL9l_<jvK-{~<uyNg_XkUEI{lK)mKH5x43ca)vLG`y
zne#N`AI2Y#KS?0bBf8L5*;p=F*w_h_b$z*wB?#P4UDIPko{ioX_Y!45mgdd0=$~B-
zj~A_`jbKJY7VAgLd1Ro|y_7Mqh5|894_3RcvZ9@Xt&!;k(opBo`hHKG3aPE7NWQki
zp|T9yLS9{I82E7aA}XRrk*kZT{;eD+LOmKs9K^%i$yfC2cC?84@`;<?{#+=#Xw3tc
zfQNHRFYRUJ>5=~P;QM{5Jm~Sm1Oa0+JhYS*c#{+v(HX^|VL?0}va#*>dKZTWVO@1K
zh11MPWL24T&sYFm$v7e<ydVV)d*9$<J1f$quinXcD1^cafBlH+mjXQtQFdot9KzR)
zWkm^!B4v6x{%@mFa5^Dnt^OqkvLlH$3;By9rgt8R<y3g^|7v<U(1Z(xIdV`5&PX5*
z3)+_djPQ`cGg45o%Z-w$J5yO>q|k?*v)fEXc<?*S-_SM8i*mTS3Q0QBh&@_w_^_HZ
z6n{*A-#N>Vbm;RKr`Tmt+*z#P`?54#$lxzD5fwsztAvC7DCN<g6G7?>Q!-#Ebkjj1
zQUvh^r3hYTCZg>a;$2=LIVfonJy1;}j$HE`#E0Y*5!F=Z_v$ox2-3*eesEF(<;N`x
zt=TH0Ls8=WR6ayFP6AccHc8|kocn^mhJ;Yk<=f@=6=7__{EnhE9=Q(2Rrj~3Aj!q{
z+AcN{%uDp8_w-96&F>jjku9p|*$)x%g*X)mGcz%#3YJA@lAlp|l&hiI2^!02Ej1Wm
z68PN8D38wlW$e=rR!41)8<qva8n7@*U`WUyAZ2psPU@~YV%+Q;F;zJLdX*`(wE_w#
z>j<=FT4<o8R{p$Of!e^MJMi-KWkn=$QMJU@OauMZ?{hZ$stf92+UG6Gm5|G+-dVXh
zb!2Mmj5ZVvVCQ3r$YiN9y39?(`b0?`Wyu|=DK-Vb#eG~8)gU3`&QlJnoNCDWl7oGl
zry<abdT-r4OG3ha8F%`!RM2T%p-&w?Mi3`iK^=aMggAGFra8-%QUB)8%WUSxFtBvu
zPW~YhV(TjUX8W3mR@sx@@oXBy+q;CR{#j-8Ci3@f{y<rjou?g^dENw;p8q{AGO2_p
z{@Ike;iORS+T^3{_a+eG`YAm9o+5IP?r-3FD1z9WnmUx*O+ZxWIgP;v5gnnejQtYJ
zgGk3~rc~dUK$=&?TTMIx<ym!IdF97~Bm(uc#6nEKtLEzYH$*u^o;emhCBBD!F5U7I
z;WhzoWz*U=K^Y_%;yoyLWen>Qe(V>RZ468o7XBveNuh)GUrJK*N69nd$_6ET#<2X{
zLdaxF0y*G=8ef@glAYsn8IQ&rK?wfr?8S01)X`P<m`9Hi9?4W#Wo_>JR#&#jTPuV(
z&b(_W@u!7Hi{@9H&lrO2c1Pwx8h&J59Ce!z$N-P5t`%ta0_4!SUlO>^jW{P}eb>X8
z;7GH8$X{!Kz#ZYAI;I@xzHWlRGGc~B<J?C)sbui3G5e|ffCVvb$69WmX93xjprDd0
z1DN*LN^O;(M+F#vn12-u!2Bvr<4b)QVQxF(s!E0Q4mPyPm9v1|n;(C7TJ+%jGkw;<
zh%M~DH}j237g-?xq#9H9Z(UfhF~0fz@)|aHs>In4&jKUP;kSASy3jOpGCU|}1`9gc
z<yKtJ3@wesh+ZEZV1HcmXzNZ7Hco62S@32C$=Gg#u2<TCehe_4cZtD<iqfW{`I*5>
zSUr+sPYawn1z1L@yU6FC;FY|Fm_W(RDss_L3#bU?$07~K$puN7Ynd1m80#{64^|ui
znYA)nT*f?^L#mMD31R~0cAMG&{sXWbt)!-zx<b}3ZG@2tCTNqI-iB+M(01SFc@p~u
znfGb;<QFAoFh1d#$hy9tuh85N#-@MB%bCBrO!An)N^%yL<*Nbe9r_hEW?N+W79U)%
z4htMTk#_0xlsZ_@Ec`1G+a>QjH?wcpV}W?y@y2sL>Oi^mEB;9!1q41K{?S@y1s_Sj
zjg%!dc<kAzF8Y}gj@)Rz<IKtq<B@vSS`lhM?C*Qx$WINzG1JM43OGm$3otvwrUvNc
z!9eB!8hG=Cf@D35gK{&^OoJj-D9NWf^x_LGFmZ*;x7Bb!RNd<Eg0U)m$}OWgr9cl4
z*KrNkOE|$Y&(-7kv<igCFQ4MhWdKUYLE}@ETu@aQ=UabY1(yAM`eUV-fZxlK#j}qa
z<Ql769vG>BTko$WtLlAU&dt3j6y${;te0Ej{*i$1opo~Gf2`pC#@fv=oDcf8Q!V7)
zlYnzAJu}vT9j4<g%8sq`L$>B6CH5E+{1!WIW|o2jZIxUux<o<f3E<?|up>dSAb0zX
z91g&5dRXgQ3BxJ2Gs`a(Nx)qFgEzX06OQ7j?lsDb0*Q%#QH6^HanvEnk7l@l<>F5C
zLvC>hAvHE9(~#gn;`T9ZMINa0)Dk}+EdeUx-dnuXBzSF~bN|0MUMS+HG{0>o3AfVP
zYxr;^;N7OF)!*WSi9fx%t6@^me~15%*#5t`PZKAO#R@=xBXAvhhlh6Cw1qxb5<I;9
zi!4nLf`AE*{vKKx;5){k$eBZezZ+!_?@kGWg2hKOu@kaj9Uh-oxIuz``915u??s`7
zahJ8GS`Kzz_1p^g-1on!^&X48I27l%37d%%z$JXm#(O~p{3wQwPuWSpi0rXh!6+hx
zsl9HIxTgv;>nEl!xk^H*bLt1DZUwl&TVTp!tp-dY!xxHurGPhV?@*1P639~WVjKi@
z;M9G4x%dhmwibjRG#M)c<%ur)|D-hF?vt~gl=r1UnZ2UVM~VcOx0OdPYHI>duxI4e
zJQ?^F04>DZB&d4WcgVx{01T}E3D$Zd3vTtzSIxTjx$tG$zuj^zm@R4>&dQa8BqoX1
zds`$3P&jt8fK3N3h<m7JUXzE6V|1r={*WMsGna}ZOc$uWmcRUAMF9FAvSzCdBsgk1
zej$EB52~0igv_rKU~~|9y!YDIyYDoySsTFV?b=J<E)YSoS-IwDu`>LMq0{boN(RI4
zMF%vRh@kEF)yh{+3Bvu$+ebnHY%K>1h8KzOA}W*ln8Ut5!ZW$D42DoD!DYufL<B8-
zo9{_&0uUcNh}^zz2t`eMlBMZHurbYNJToH;XJ23FXqqvEKp#QL`w~Rx4&|L~4Uq<d
zm2yCnsu2jc=!hK-CxB`yzx(W}B;dn7L{_;QL8$i781a!jc<Azr1%-;k!S+>J#!w@O
z8e-7yDU^drkH`W&NnseJ$0p3q8NtI2%fnl-vhX|XC#zEdAG8P99v*Qt0<B?nzJVh$
z(BssITw=L^S_*%mN5%*Qy##XR>7>EQ>T$*U3U)YA;>-~~Z3y+P-2Z$lq#*1g<%_$A
z7{Q84gNr-U5LASZP7Aw9LRimd-k9&yaPHw$Wt)j1yvnI^WTlq?y~Nj~-aEVG3t4WC
z;nM(dPBbY4!D68PJuKomag+RY;H>AR8vrl631r-oFj!iq{GoSQA=l+|aDEd9NW5SW
za6VoT7)m}pc-lEj-cy6$BB5ls*~%EhXwDB8@!gB>+{Vd=6jOh+Ju?9R#)}RnL|!1N
zv2s?-50Xu!JGjC}^+BQkOuVKRH>ma`Ehi@Rk{^+ibex6sA-ywsx-pOwY}2PU^tijp
z#_dUG!9@>}srlkJ+Hl~cB%(P#^Mict4d08mnY!>TteQCXiVZHUxT(cv_K+3dIeO5I
z>%gZU=k7J&SfK9PQ)-LGKJrTn-TPL`Iw1G1KbxnT5&V*~#|y=W$w$9#yWWk`hG+sQ
zt*(?F+K)d@8CD)6YcY~!YPz+6dERR`Xqp!MKks5E<tNGO<)LezRJ5Q#dsD2?jRw{>
zc$}Ed&XBic?xe-sKL9mN?&}lG)NrEccDLuqJo&_mym9}ACP<2joF87M1a8A5&MP;T
z$O~5|8eg5z+~5CCi^J(DVJQA&h0xO#^4q81#U`3HVDZ16sv%1Xpv$@K_A`Ht{A=mF
z+DUy4=-{9qlD)7;_6e}o9DT7tR*U}=$XuZgZ40?K=ks>SCdPg544OB|MK+U^Jqqg3
zchaXUnrD~1{gFCydG{|la<u^W`k5O1blhT)ZrdS8@`T*1JG4#y<?B9_rl1C&hObzC
zYuF+C^JrZlmG6@8MV#NeTCNJ?ZysEP?H#hpT7lD(EDCu1`go3yo+_}uS2#80w@ZGj
zll9SUl@dIjj`le<sX!uKujxG39y#v|$HRIzYWPXmKIq`40_fUdF`2bJa*u_v%;O;%
zs5-s(Fldzo_O4a#3D+qgYoR@3`w|_T?w_=++n+-w)y7K81WGuYSUSF^&Hyd{95=m*
z`}zk);*yJ$pmwv+M-ayZgby<W&TM7qKgyWb)=ULAmY!@cva`U&&AD5z7L=fe!l`WW
z3pFTQR?W84Vgu~=m1?}15-hoY`i+gzKp}JA>t|*-_?CHgmFbxxh}P14Y!RUY>IFCM
z%y<s?EdMS+SU?d>Yy*D|U!sRI)2n7G)0_Yv@^^I}D!`LMHdXp<1}IYrmU`>X4V(TO
zqrt)o&_s*Bc&~s7dg&#suWj)F6Q$-k`U)a62nc-N+vl*FBfPxJm3$zXJ|G|JLWH{<
zSHE%vvB5BjBiuSg0Lp_-4n%VhVO3}$(B&`=c7M<+b!7?xu8L|vcaQ)9BLNY?mpLF$
zUoPTWqsYE5D>7^t0cQQ~n2vtpgrajC88>kI!DUH#^|^`w$C_*MmF2kM_i5IQHd_gp
ze&jEa)j@y?8SUxrr#z4{XIVE;ED6^l`J{oK2vk=uUs6282l@(!g+qDpP~*J!y3d^m
zHJsz3N0<bl=IjTpniOgHY`YcBK1qbvJ7T!KIYBt+^y)J$aevNDdsc2FE5OSW6MthC
zgu!#5&Lyc`4l<}eXVG3#goa0fe4%V&P%m^n=VTNCJo)gWzf+VzCu&%r>4`WrezDCS
zIG_NAK0;x)R+T|4Z!xB(TLPkH&T2gSr3i18=gx^V?sLTn-6kzgDaiSnROOMm-v?Zq
z9NyI`@HZgh>P=@n6uxK|(M>18ZSN4y@g7xBs`8hl+rOuC&-`}bu~z}lo5gBJ1=OL`
z{$3H~vJ7N~m9d^(QvqL1-crSA4XE465GvM^1OJWQr-kQKVQurcI|b_juo8JL!xSnH
z?u6}6)AgzlEtsxJey0T{pNE4q@(8e=c*j0xLKQ+R77a!(>p*{Mq+j4mA~bG1Yc^|C
z1tTioKuc>qur#^@cTyFg`^*tj`v6t2lz8YLA!PvG1E1Be*eQbHR&6R{n+nJu;9I%7
zNCt^TdjFnoMWDEb)6iQW!JtMHzPSw`)9voYEfFQ~a{1ZnnXU|<b@@j;k_<r!tDugQ
zP=bNaxgEO83UGO?E@W882xd0ZtT;v#p(`}POJrmJzV*6tX|~P?;)}LDf?O2g!6>ur
zXuS+P`~XHkxxYqjyC-A3pR>G=d5H=jH!nj7j+BB|0{?DQc^N}`ZbZFh0ukt<7MOO(
z;;=fVpVoBM7+!M%&dQbm-HwJa9R~%WtJ8O|I?Na{!iBG}FUWyw=yUpo7;eZuEaeny
zYYbV3&+1Kj$wIgOQ3cveHkfgYD%#*MhToBfv(}B$U@*Z=>ljK4-_MDDQ>!t8R}M=-
z-r{(0K0e#_#&V1N(AVzYAy*^Npv?U07a|D`eigHlNekpFnW?1C#eE*wYE<%V-RG{l
z!s(o)R`TWOsnx2BhESzNe?-w!6bLb_=a>vSu}RO1E1Fb>P?;%_9eG3usstx=)4xn&
zNh2J%`gnj3_P*-np8O!2y>#>x+Y;8Ue&?gw{y3QY^|3@}KS$h_3?0>I6^rO<8BWqB
z!}sg-gYM#75N%wE{q0=GK4)s>Ja;evg$I|~bDMFH_t^8v<lhY}YWuH8L8v~|Jifv=
z;m8USZ!=eUeSc$%3(ej0xq9#~*V^3m5+g7+A8Nd1^Bc3{BTr{{=z^sKTl0MiI&c$*
zxsA>ZEQ0p<gER(RNV%Bgq&ZFnY#+wn9mj28WwzOWQ_XeYYIEZ_UYG*Pa=mwcNUUR5
z_28%J9c?(6!H^VTu|=*YH6|YtTEnCd$M=~0)Pk0gpFOS%zsarz@=m5KtC-GmM8g51
z7L<h~c#^sH_tV$x?jnj6EIv4Q?{mxn$nXC6Dc^mGd^6JA<1pni#u+<MmOZQq4|^ZU
z-VT~2FW62Tv626U`3WSqhZt%?p7QWEPIrRbdobM~AaVg4lzSk;SgZjCl<!Qn9EZt$
z*R^ft=;yJS91%>6O9Nhh3|~ui=phF_uiOl3oW=Ou%OkJHr~^t~@LxIHK~}0~OIxd-
z!36t^b{KxEK@`7m;9I?Vve4V8Uxck`3@^wsb}c{+Hr)y|ThhwOx1z6lZ2L`PVIy3E
z9W$zs7x=^9Kfw<(GIFVG;hn~^_Xd<&yj3Aw#{6i9RXIjw9b#JdZwe!c@x67KQvrwS
z6o>OnwOCocb@AVQee;s^s9TT<L<&@F)ER%pb{K38U-?dB9G>+&AODg-c6Wn6W3vrQ
zb7>eqxiO6;oUkoD8B2nD&%@4qDd@z+{aG%JRnB0$$;2iVUJ`T~?$Oac{eiVq+&UET
zY8K;9I<2T@rwqxwKh@pSd$DQ0LcNvYIgGioDpM*_2~OFaut<yU$Nq^nn%}orz!DZe
zn{U2Sgin>W&5;2^7<X<Xoyo67ES~XYdg`<ScrB`x3BDe|>ZJtWLB|qi<r2v^gI9o6
zW6x;?gE4GuNH(tT?=p6m_E1K<HxVA4?|mrPH;yGpGD|fpu41Au95b~__c{I@d3^2m
zB-VR9p*%Qt4Ws^WIg?{o9?F_uBs98CW2Eg?=X-P;nBh%{;={J`kjPlQhb(8Ylq-*F
zt;&95o>v{HCZEc|r;R^*vL5qTUv6i<<*h$hZzc1uAM|qY+tByN&B8^j?yK7F)8v2H
z4<qq1X+K#Af2g41#<JgMm$c5Z^loE54?LSkzsmr@R6F~k#|rk?#!jl(X%E{p@IEhL
zBm<(taiMEHt5~~yH_H=dN+cAs>_uNG4F!)a?Yx54u|i=Pd)-7Tbc$V9pk7%T_>8gy
zs+50Y-5qmFMS3)7<g>F++ABP0CY-ZW5&VO-r_XVZaMPi>bbNcS1|H(XtS+2a|A+ZU
z2bdd+Frc?`U+h=vq=4nPTSwBhZR~wNk8t`iCUlfoLiTl*f+PKZhXh&ou%;$&dZA7h
z6pK%3UtE)f8}k&?x92I4<yvW4XgoV=a~q~Vk}e776z+-ggis--!Vp1kV-8em(lC7g
zpd=JemaSGx(IC@nmW-}5oG947``<d1Bp5P}DhBM*qU-JX6FhIZ(e7Vb!cL<E1Qg2#
z9c5rZ-AyE6;|gBnS$<$4CRYNeIIG5K%$U$l)W5SOBmC%#^Nw)c4GF-CZ0e0avY;p}
zdqaY;5TcZ`Sn#_l0ep;K{0TwqXeRMi(&Zr$6k9XL_2Hfbuy4c*#i((hVf~yloUY=i
zYwhk{{Cf%D`r*GT@|_dijD7MvbxH!!FXU?Y(nx}zW2;tnIyW+K9oSk(l0tE{*DF2*
zOF|lnb3G%T7nQPSv!tGqM%o<B%yrCCz}jqD5%!oLRk5}rog=cS)IOxEqFV}1Jo_!H
zuq23f6+)2dae4IOtC%U)kB1BS84avHB50}eyXdu>MD%4=wRT%d2Btd;Z4DX3k?HFo
z)vT|IsL8zfx@nax_&=y{`gUFdJ%S(cCM+a${*5}**kgGZb1wPmu_1}H#Uq-wHB^wb
zE>#xgIuV{Z(9uQR!lMo6Pvzq-swiCFXm|dF5-3^K4q7P7AoRiffLWj#x^+P$aCx2t
z^9tWPNkg(|#miOQ$XgwWB&$c-d{l+2oTF2f_v8_CdU)-IrUsG`<*M&)P>1tLa+?Qr
zh{$&!F@T{>1GP}!daXi#0Nm`DqM=g(xw3qI{#aNOF}@Af%MQ_oq6*Gx@k2@|VDTVv
zg-a7945q)cpwt6eIp1Sq50sJkoX)keCmN_Ss`<QSh5@*(s{+Ll5(+3x`*`G=I<nWL
zm6v-6pjw!sBKDGm?$#!leYvNG=J9&C+^>e9tmJvPbcBQiib20_P6bV+zJF#vXaxSp
zbNl4SNT@1X+2-1~GO|8qXmhH;80MdlTa8Lds5DhYQa6-{9N$-!7F;p`<YYr*Zb?G*
z8QbN?pJY%0_YYFvx(O)tnJnu2E2GRStkXZKBoV$dok>{T6kZhw3E>tLkx`Mkz^_h0
zB+$!v{)w(BJo?;Q%!gM%FJCeplQrc;;cqUKvvHcjv7DH#JUjsj$Nu>{q(O^LFQ)j?
zBNNcfViNqcD~puE4%^s$UcwmVJENqJm_V{ux+&i$Y2>eccI1-dPqMgM-YWWP3>PWI
zqTfeJp=(WtDCds;A^$1Htq?VgVf}la_Y)Hd6jCW3I;c+#Gz;bhMwv#CtT!Lgs49vK
zjt;){NM`^l`C&E-3M1&?F~7CODu}wy`X&xXvB0;McLYiwLvZ{rT2Nkw7r7QHTEEp~
z2kQKl{LwA|ryif(>=;g@tapz0Sp*I|E2A1*4g$P`f6a{6Y>55t?2W?|9N?D3d!7(W
z2KCLXBjIuk=ruEyv9AFKSS(}^{<~!W1?R0xNAFXik~<<d4_fZ)pEErZ$kvD5TaE8)
z7`Ct^+i#Ld2RML>J6FrCS`T7}72=|nRxs@nI?J~>4j6wep`bOV3q^X7Zw|$eV<x-p
zG9IHiU{Q_F$d}Xw{{@E$%d}5e@2PN&xiTDdbdCN__R;~u&Xcp-{vG5)eD{uHaX2v5
zaaE8n*M_*%-MZs{#>uU^#zS9yaq#iK6uH~<+8`xIX_0vA7g?v0$n@3~2LsnCgxI~b
z;EIJq=K<z*a!2`T(!mor_!A~CB++yLPHY|EOLzZ6KKzQaD>?)REks!-Ys~{tr+qG@
z^Vl|7;U;7Ha4rtovaE{rpK8KRm4+lW4F!aq{$P7?zkZ6L9k!Q}n!vch+86hc5;ndk
zUzO0|fS+9>wjqx+U`vRS*YX54XmObaTzSR;LszqzFUn~EG1%uf%`y$lDvb{C?E~O(
zT%z3D*Xj_j9bGsTMh9(z!1rGlCxjU|jp>-HgY{sudj1wY%*U1P?cU{rH!>EQ5+iCb
zW0C$ZIEoSe`;c2~ewrI1E&sHqURB%g^M*V%W@Z>Q?XB&w<$-67j3)-A)u5s$|KiC!
z7O>+^=OeiC!r`CxW=7vt!G?SCwuA{A<iu&|%wFY#Hyoue<l|H!tEF?(^&dNYS7Sa{
zi1<OUPp^i_R2A$jCxo5HabS@4y>eDW5Zcg$axjxB;CPv@>veO0o$&Qx^)w;K_PX6i
z{Zj?#o`25$uZI(+IkPv1ltsWqtNdt0nF{z=3)Z^NaDg8*;#ej{A?*=wRQW>{c-8ZR
z%AJV^x&ooQ(N!E=Co6BHT~h(Z0BO1h2E1@6(MLPjUIO$f^Ka>0Re`)3C4<EqeDHSU
zmh;L{NwA5l)B75y0uQ3-t`kQ2!4dzn?3AArILWb#U(Hv6dJ4z#Y8yeIqrT4K7mo)8
zPx-C)P5bXG@qD#iLV!IJWKb`YhJT&-#z|ULNTp<bKISh1t2^eB1|u@S<ox_{kb^3O
z>Xu3#<`)CKq~k6&TypR~00030{|uLRIMsg~#ci_pOg7iO#x=9Q$EcL*SJI9sDN2Z}
z5;CF`rH~>N3GJec?ibmkD3y^dC6$qt_4EJx`8@CE{haeTuTxo@*icoZ3->3!YBe76
zI33!y-*LS<+OAmdGt$vRTWD96`E~{L@ZMZL=|_dxhyO18EZ0MJp;9xqg(B)^F5bVH
zOvCeJw+DqD`e>gIoH5i^LVr%0@<Of#1S7}3vS=7!Byfh+R#6$B5BAu%WN1REq4fAY
zc0>4GA~zX}s-SFD>}ZO=7QBWYR6U(GgzbT9&0uC#jO%>zJD{MALe2iD{fleCd$F(L
z?~p2jU*$W9q-f*)#aA-*;>PIEDgL&mObta1`K+p~+L*X~Uy7430sGLIa}wt%D3O}q
z$y2M1*Oz|1nDsUViwUjry|y|?6H)moUu{&LQ_eq~V}@(lF<cwU)iH5qkT}z-h2DgH
zO#WZYk=rVsS*}CHniLK#?Ey_heYscUvTT9F1KCkhAyh1XYcpedpn;MnTUg6h0a0#j
z8OwL5SanuZZa<ZV3a<T>yl7x3s5rnhg^JI!_uHqv)sa^b{$67epdD!$>2ReYJiA_D
zORO3^6OH$!ZMMYa3f=n698}aTD2mmGt3a1&=$!IZOZdnR#T`1Q4*I0Zj|O)oWSUhv
zd}LTcvM=qF(R&IiBx3d@Zc~7&h{IUk7fTFBFPCvJQBcgIb>K?O8c1C;_6hB>g!>8Y
zkUn8GJj?D){4Yxy6*BF&zBXE7_xr5XC;3%zH2bk44~qmic1R!ily3>Mp4A~qv&u*k
zvOmsLD1zI6t+zCuS$V&><uX1ifmqgd6{!(~tBm+-E5Z`v^K&f%PZVL~a5*{T6fg7&
zc7Az23;2cXrt8NjKszt)e!3(V?8<+0`{V%!m<L=oxXR<n5f%BEAT~UHrC51+7qGs4
zw~0@}8iY><TO5yN#*55-4|5j@C^`vO#-3b_7S{-?!c$8`$-tV?sEq{l6E4V49+k$-
z-E%j>#{UsM{A_lzi58G<<ctUjlf=V5w=G<rv&7&+nxR9NIi4PS^Q@^@99P2&V!u^R
z6K}Oc-O^Oe;ShM;@w}uM>e^0Kz4|mo817F|<n=Yf;m)Lm{iz~oe{m~+G-is(;hUIt
zt1t!sCc6w*2tx$+vGnpOB9V`gV<ct@rd)4^7`G5Y)HxE<-KU9b5^Xiz$4$U;&h_rp
zr~ugJucjAz%@D5+Z|k~IZH)8D0b&_k{Lo0@PBMHuORSqb&Jm$vjDRCfL&mPW$nE9y
z>fZN{cv5^MwIs#}p(csdHx{^YelNSNI(30ycVrpdG`1F3qT6h|npfe(`?z!#+7j_~
zw_~8;fwhp>y`wMY6Bi^GTJ<b6n9%FF>S%bQA+G(xV5JZjzCU=G_;xolxYAt`wJZ%$
z*>&!<ZU`p^8y&_SlUcBws_ko4Y=Hc7seDy&PHeDkJHh#r75bf4u5Z^GKw*Oy!?=S3
z5&iTBdv>rxVe49w@me2l+sseytl@yXbe{al77i$|{A#p;KFaR7)E9PgKyGe2=aU;3
z9?Yp{x;N+{E79Tpm>4J0DoTqZ#JFL%+FQVGzaEn4G1O5%PB@!*>Xr8JpkSFfn{P}P
zQchlq-)A_%CG@dYu$B+9ezLXQvAUSOy76d0Iv4nyM+dgI2;kx9_N6I`F1&X9@;i5I
z6+CA5@mVhmA|l1=P*Rf)lJw8*q3`0x+g@J>Z*^hhu)N<Y7^s7h?(tdfV>~$N%yzBw
zm<akm+S*i7bdWP9@vt?W7dhRpYfTuUh}sdyE#FH=)_cyyxOqOr+TWhspe2sj&^v<p
z>2xfP5AO;N6+pa9=I^2+2@EIaaV)#i5qO%R$C<R^pPl|gT8>h<->a1OPLB>jsk&Xh
z;X>eO`53PwFN34;r(cZn&@mzO!KLTCFjmubjtjHMf@xd#-PkT|tm9bUL%$`0A7y&H
z9jtPog!YWRFVcok@SQQc22t=<KB*H;lt-1)Or>OjHkz4-202B=!L@a_+NBo?5OwM-
z5HHon$>R<}3jPvEx^w@-(vTvK-TZN<X+#_S`)fSZCM2<YnQecrsxr1ZeD0}|r32*0
zgYGfXh-1B&O*^dugN5<9@jZ03W<HDPFj|du_odFBey55n=Gui#xpb89rZJ{i*5EAV
z@Xs5%6pXL8-?c?R2PZ{0vELe!gR4c3(altKH10e;<a|X3+e_0<`~8u}_owCNhgfLf
zn`FK6RZSQFESAz&O)Eeph3(|U!x|WLyC8Ppt1cGzXRf`?ri53&jE-$7)WpFE`v(3e
zdN@1G?|WNP8FC(xcQ1@<fm7u1!z&s3XfesRsMk_~ILl((F?KpWJuusz`N#nBw9XNA
zYgMd~P0e;XLx=w=!{vWp3}JQ2NtI>08hlv#kKg-9NBnSPJBzFlzRquAAGW7Jqik2T
z8IKNR$E$W^`WxdgZe+Assl)z2Yf-Y44$RVTyD9aWpl9^u)FEjqetq_r<)5cRl2%2U
z+neD>o&C^KD;1BpJii<%pkp+?V%qqvIRchyA~w3w5OpWtaH|F#=8jn@J2VKW$DPVN
z-Asewd|Xoaj1~?a-^H#7K$iYZ_z8ywXiJ3=N6a)45?$gm*8y~N#Abx?Xy6rZSu(#K
z4d1^PK9)ITiJDRIGm@P&oKm%u3jRsKIX!`swJnyoqJG{a;xr9z?UwGZ165HtxbKjo
zniYQedv`tSqGI*C%cuPRD8VP7?%H`5D|}@tJ>V)zMRJN}!cJEO+-weD=!RM0u+}Nd
zUIlejq}QbNew1C&MbQ3?NGll71kT>!p}@(a;h>SS6pqY0R4;m4fmP1Uy!VSL1m|)k
z&EAV5@8{4{JzFajU*oh~dsPK~nbU3eM+A|^dUWY3pB37S8fqzK%0Ncz3H5ny)a@^u
zi+XDblN_;}mR?2p=S_AdNU|ee!miZO+Y&$bPAO$aDIg)qDg6_L37>gK&aW1=M0g*U
zsU=+=^+9Lj?wZdMQ9Zrx&d-2|nDOAp^|E+&&&ZqhZk*WK^yS3vEx_HYT_yJ0W#F;7
ziPP)(52C-`z$>hYz?0<1>azbNk+8sbXJ&stvG%;!^w0`Fq|P$MiPni@VQl~L8s84$
z!KQ$_U-c}|6dv&IEh!4`h_xmC!ykyNyWb4Ac$i~-%_qfxeqp$PtD@5TJ#is%GNCBj
z49z!tl|8hCkn6l5WpJ*Uc;l*Up+01a!V~wC1Z)NHW9Po3Dp%eUYKq!F&Z(PX&zTKx
zG$VP@@mxDr$@l|NO3PO1JGG+24w<qhK5hiNRfN|oe<q&Imssp6H%1P%BI#!@CpO<>
z{7T~LBF;13<$o46h7ei&QErYMqSw_*PPg?EE<)@5)_WQup?u-`hwW@g-WBYg^=E)+
z^`pv1)vtwn>y&}VHx_7pb=5Po8Ya$ODy{a>Sjj2j(_Jplm?4>I&KXlaLU_*oDH^$E
zh*Rs#WKTS0g37t*=5I%S6LAk{YVQ{f5a}E*&cs+I+HNntP7)g@u<%BW-O~WtX1)1M
zK1;;4wOqZcxF(6l$5uw(z4~AY?Ohe)w@5_KoO{;AJw=q8%3qw{tq<Luhr;yB7l==9
zFZ{eCH$&8TwW{3spa=7v(S51*D>)h-f33uJj#wA?fkk_V9z+TPTGuHr5M3imBU@tU
z2@PpgCB`RRF#o-|B}{jLh%n6S5E@z}G`d2|2q#?}>khNo9=t&8<DVZ@p)=tI-`9}G
zKXhQ#bVk8{Zh>%lYp&TH%8ZUc`+lJy9dI6sW*m65NaS(!oUj{Y!DiX<S6;k25Wb&i
zC!4ZF1gMSgv2bR?%h&5FKi{R}*3a@oeuc|~L`|J%*)%&$*BeG2B<RS~&1&tAWWu@N
z;qPquoG|aEoUwhQjp;zQlK~r<;V0~P_(Iq!tkIC$kiwx2W$C5vI&~J9TUF=$4(7qS
zZT6`Gd$iE<uvdCWl@*1T+O1co^WnnM-4ANdHDMBFa7E6F4YX0Zv-)oV93D=*=r5^>
zqyMg55DQ_)-;B4Ho~;!^tr2a*vltCrJ)w5-eme)Uzb-jY5`{4sy=SS2O#_LyKChqM
z%LOtl%(9V36hcl^x2u<F*i+p8!<}ixw}+^w+3tzq!K{JqS!EiIOHXf4eaC}Wk|n+t
zP7+Y9Xt$iGr=m8dFW0f24>udeD*Mf(u%*iO&9n1V5Kok!6iy1@^}{E*)>bm;lU5UH
z+(Jdsqq9>-)P(Snzb7@yTNay~SmSfFsF0YwvE_u<%6<(V<DqqOXpMH+B0!;{y^~oj
z?t=)<O?gdiR8zo(4zkJ0oQj>f+e>%u6vMUAN&&MlMLa*$Xfy3Yh5hXKGvjG-d~h_O
zomu%0D=ZILI<4&KJ?~lWQzVH$t5_yC`>Eir4s#yejt2gB;S2pYrSY-Nxj>aq4cuAQ
z2k*?$@YBz!ZZ>T-Qpaj<`4&;|qOa!PhE5GgPye|SP`L*F7f$}(;Y9_VD;lEHn)rI<
zNb=oCc_dm@KiZ|O0an{H0vy}4(JEgno?55?0ZotVdSjaKztx@O7eEJ%dux8%lp=O@
zeTk3D)yC;~|AvX<Iv6Xwvi}vK3_}I}-7YzFux#PB3b>#Pik9%Pf&>*r7t781AJu{A
zy58R$E1dRc?%go^pehd8?ztQ#po^G+Q-ijK29SMIDE3E>0{c<PiPtxD@uvLJF|is$
zYz)y`?-ryE*;&ql_7!fs8tJaf9b|-L$N$uJ7EqyM*V@n{p$D4)o!f@%OyFo5yRWvA
zhEo2yf3+-n$e`rYXB5ofT-3|6xljYa={c7}^L3$KPaTzHwSdm<qKlrvD>?TeY*hol
zE($#Rh}|6o8U;_<?dR0O*X1ALGMYMwf7|0N+Xz&y_EEU8QwzeM^r*}$T$O7tU6Y+;
ziK8JZb;$>{Fc3C$>Bu3?6<&{1d$rCA9IryGjw@;*=>+ox%N{CjoDutY_k$HO8JR;1
zX__#46%lezR1L1vMviG_)`&2%6gFtnKrg$3O28{6v<J2t@rGK%r(We|WfKh&MC3=_
z!}54FE59xNmNnGYZ_dk$r{dk9l*?upY2<09hnHNpMu(k$X{xe1qU^RE-{&ogk!z2`
zvQJvW)+V-pZL%78*s9JQrtl*@>(|6KEo+2cvfl49p@Lth-%0!;*`RKc>o3=Ch12J{
z3*w=S#_ru+A*bdDyMN#BIQUsX^lI|XU6&L=J5wy?MgL9=n)0!guvuYp-4#3jPI++M
zR4<m!c|n}ZryljZVu=jt`O*J8S9BP*ul!zf7vt$iY$jK7Ga-ReXTCuOClpvD)OP%2
z<O$}x*rWokx*^&8n<Zgu-jwzA&;(=0dL7etdBFSm-sFAZD?Sp&uCxbJ3>!_O4Oe#%
z$eWN_JToE;4$})0td%p2j)CVIb;m7`n`U1(5+jIP3$%NCf6X#hKYI6Z!zFXLa9mE;
ze$5NFuBZ1!4$d)5M{EZDpP8Zblfv7`S}y!}`aI{!`Z<PI@II>}eWp;Z5}uAVWrs(`
zQL0$OEJLovXUnjJDZba;t$D=D0^jD5+q%573>#(2hetb2koEV@amnLLgn@@edaKe5
zqqF&+%z;#63|O~ThB(a;vw`bbJXNO|`JtNru|r1SxE^ZkIP{k=+~&7?R%wdS@KWM>
ztDzArUXF`j8XqI%pULFrQ~omc_2>3|xx5xj-+ob!jEoS%p3Dse=97#R&fd~>BZkO}
z5j&|+JxCl5UP^x8KEaUwFtEPC&Jf#Pt{3wz?j|ZXeAhhibewU+LES<5nE{&LF?RdX
z+X(&G=ID8eaYmAoOQ(pe0s5tPR5wJ`5loxkD5u^TV{jaKpzIo_k3XU@!|`e_iKZy_
zF29XqjOX!R28NdP;2NaDx^C<SV|z<Yt)BQ8qqp6Dk5_;mzN~TL8$4XbxT$r;U5;an
zVe9W3-Z`O*($S1tLXmY0Bcaq6c2Z-E2ZIwQSDn(uTjApy-CwpaTr&=|7XLTK$kOh5
z-1%1r^3Sell-PY@xUxjd1wI&K@P4W8S$jqYwN?ISw%_VtwCBc_JX0NKXnu^_#=)+G
zU=#PapjX|DZz+C5)ivXc@F#1Ub*|Cz?e#C!zI}a++A5JThszTThb4*N`-*g|lM(Ee
zw;x~_DqR0$8#u{`4pt6+ctRVy7wSiUZX9B0EUK*<iv7z_AmdUFrD|cHn7CWf#$iT2
zO;@y`a*8oD796#!Srg<s52o9DelS?XcLcLiW*8TWRc`xpX`)PPS;sfzC*$vt6bk$6
zS;ppWt)7>*8Zi39JT~#>7lWpI;B#rvKZc&|d=6hc4L3`ir3Zz^7^NIR$=5v>7{-x?
z;paN3IJ~*nbkE*#MuNqi*Jo0e7_RlPwn8g;^gXIdapUU=#&wtJ8v&tAWWB?~kT22d
zIB%kJZIi)Y2CMZW8uJHclC6H%ukj%Y{DlkyR<}$s3iD@-UTkC~rN3!Cjj^L(wyoE>
zFky!A^cj;7;~N{v9zApWbCDXZKNe`R51eD{o=8Y}@Q{O4FZR&Tps7LIWqDI@+&m+{
z6_b0jxX2UBvfLxts$go>ImX|*$S7W4UnE(_P42zWVi!+QMTF~j6{;E&`CLB8;<_py
zS^Mx$<m=}u$T_;_XlMj88ITfjs-Gc13YNHjq}i(A$={$}8D>^;wcaERTZG6rlS|^C
zz9~bqVtjJPT{bdy?4yKQw=g*+ALsEkK^fDw3ej&oImohu%ZDp(h>~@b0j-=3%7`}l
zo^0sKMe0X?;oK7-PWmT1J?`OE#_Mf-pE@pblNSz&7+FS3l08OulCJhEf#ZpTE%!HG
zaz0GzYhRT#*}QCHMr%-lvW-5cW3T}E(nz==##okYlrAf|UZ;eJH6B%VszT(x)Lr^^
zgL34Tj>yZFeM$(;lXY%*B1~p~EXzFRsz92BuII85S4Iwf;})rdqU77v4tHYyDw5ZF
zgPuBjuIwYitA0^WoLn0AyZSFnne?}xjh7o$#=U&a5DU5_nfHLh)YnUul(sxu^d&_F
zTbtdtE$ose-*`FbrthJUy^}dpMZu~#9sc3>LhfqvvGd=`xBIDNSMQO5r#IE`=f3_}
zfvOz2YmQRv>Zd`ng!ex>w6wwtKQjFv4a<|WR?kyj-_jy&w+xRqKBcbo;URUOZHlBR
z+qjpUE1i@iDusWQY9OyT?)~)!CDQW9`~F-0I%MDr|6DPOHWaIS<a>6ikhuxfn<yc=
zq)qExCiX=-f^_)ob4OH3C%3kc5>Gu+>CDR@_glKS$m+54UIc~QA~2P7!Aze#@aBpR
z)k_~2Sc?-%C8=a^oPY41E`3tSgLH8^ZHSs}=TC8F&`A2}Os-9Y0V$njZx(jn2s>n|
z=STT8Np<ehmfqb4WOi^6KL0a8jH8BQ^iD0Zb(3RHh_nIeI^bLdXLA_UZVk6|*Cy`<
z=W+9d>XVbu{uTR{K=vii-~m}W=_9NenSNf6Y<R#w%;2&_DD#KG7-u@Ec<R1>DMgoj
zL@7MjC1C|~_q-F00d&%7@zccTGjvjVX=Jk>n>99R@F+i8nGgSc^<jaOCb|3}{*88(
zHFjTh@!ug$Cv7T}GS~(v<m)G!CU5Srft%zo<G^NZl3I~|@@S+o$xc{adskqCE|IyL
zZw0i-wMw6pjkV;-$vD=<j20W1kA(Yviq#<PUpA|$OGuJGx^6sFtF{40ynU>8EtSl2
zKj@$tB1mR0?ui*ouz}xp`tQzm3OUA_l06^9O1fKI)|xQ3L3>ZRrfRb)Iq~yWty<6@
z#sQ5?o0vLlyvW*?mH1qlq`#VE4*J$e=zq9%HGP9M2F!KUl#><7!1YNS=9naua@tNP
zlvttf9vRgcAx|z;N1sRtT_*Vc?r3_UZUwqT*TdE9vSgXle-)mGR(ilg<~P~NmbjK-
z<XopGMG9ZYuwkj-#J#pQIkuHMi<fHjvZaZUs|`}K<RrN<BkumO^(>H<zhUgsdSNm`
z_+3OwDi5T53faPb6WH8#zscH-pKKiJX^acv#kG@iw~GE);KK6*-)*b8$nr<cp0~Ss
zk>j%4JYmrs^Sh3%)yQKdNB9y~b&m3aqBxrPM#3B~5>;moOD-`Ok>#XOIWGjQoBw2)
zo8iW9AvMRkDaL8u$y*d(UcCHTkmGyO6#wqYvexB|GQ>qs$sZKs#n;5&6MG++z+0nB
z_}aa0M#RDN%BzJu@IO}N75U2;$IjL9xp9{;*3CvqQV;P!@=pD{j)^h&h01q%p@}%K
z<;t#a@;o?dPTgK~#R!rI*98Cj-b;Lwuj4&3#|{6ZWpd#oYmsG`Zr5_<2O*Qa&Fc0T
zH>!P>mqfO##r2LEy_?U*2vI4f3+CKBcv0j=<0&+R`<iKqiuHeq=Sm5zt2XjL<#O&z
zaTP-hobZ|QO`IWA<6gWLdd!1X?%ssCn+EvL#6(&4{y##i+<|Y(oEI@HCY2XN4X}&a
z>@E_&NVIV>&T`K1;$xY4@4f5#NZ!=0-AZGEFJrHEU?(5q$A){Yr1eo4kgqHj%?$sC
z0p%w~`7!T1?&6ZIhmkuTwO2b?P#SD)a!E`OC5i<b`3&_C%-+IK(P4uTMf|gKqae;I
z5FeZyb-`UW5VQ9ZI~H~ZnR?$6f_ZJ&e8e$b?9gQnIq{nVrfhjeF%iPZliO<dkXskE
zeWBdWPF%PobAH{GC=rz9I?XFS*TIIg4=v0+t8l!HG!DrU#kHUJJk1X2fWmxn&tG32
zxU)sIxpa!5U$kpQ2Rc~pu3;;b=Y#Xu^F9Y13GCl+eopce9n5#~`E$PW<F^JS<y5vL
ziiL~yCvMTfal|kx;;10P&ejez8%g7FMbCi@4?1|#?EecrE(DR)O+Su|%0MU5vwF;m
zj;?64$=YyXu%%1UxyogcD()!tUWJYlWBI?$`64K4kGy4BBnQLIj4zu->3F=|?A6eS
zC|KUQ8>J1)L$Po0+)V*GO1Ex(YXNb5>r5!OWm81^Ki7|ZQgrxhvVQI=kig<uM-K@d
zCD7T}SE=dJ(Z7GuCsIcWr#7)majxXen*r&ur~`DQ#!MZ`ZI*`8*N&mELKXZAe~~<L
zlaBh*%*pMMt6_5fNsA$m8k}Tm*J+H>u@v_CDx3WpEDCP=xpb6*&o|f@8as6m@q9RH
ztBgFl6>nEPtW`&X=;O?)Pda#(Xc{OksQ`9wb?Zqr8dx+k?mk-Ky>gB1**|0z5py(9
z&LUI;f&QJZ_fz%2%w6nOPgTNyJi1y1)td0Klzq{<qzAIo=sy`VWpKr2*6~kiq4F+o
zMc|k|&NWd)61J+q#<-n{gNcrsczZ_sk^%Y*d25xOR6*({-O)Ws#|y!wRi2c!h;A%;
zx5iBkrIq(>4H$ID8r&Um^f1DP@4mCrE)-n6613{SUv!+SiS9p08pE9B1E0o5b!_He
zPqmt)V{cjQbc(VmHdr<Y@=8)6zU|)U`bIj8>?Okr;?3|-!^GRUhKiFd6SJ#V`t$v)
zq3wTW&7q|=ImW-8hHSq}29Nr+(U9^eqiz?0jP~R8X^&~3SZ4ou6r=?Y|G?$U|A6{!
zr`(ddX>d*$$Sp6{Kw2vg@4i96N%-R5o(>uUJs)$kJ);7)3uPupED<a9$C=|U4a+6>
z(gM9GFq3T0t8cbM<%6TI53i-+W0T##UUpR+)^IA#Ut<Mt<;^K7sZ=bdtL?LkRYE*R
z`*w22N<Yn<(bjyY4$D7%k}-S=IF?>6u65E1W&Ac{O`Q~ER{xL-*(i%gP5VX&FDulu
z3U2VNR)eqMNI`n3BxbH<eAe7+h5H)v#YRc0`1VS~hlmr!W~bGKZCX|+^iEd}vsXdm
z-JGfiwSuT<{`A*t(h|%OvR(-+%6OkU@~3W!8<A7_QJeBCF;H!@$>yOV3daZ?K|6L-
zo>*0puxn*LxLdkuj{^Fdo~gaN#DuE%{;^8)0GYo{_7b-|EZ>H0PuV#~Bzn|73Sa4!
zTO-PoCN9f@{4F&xL7gPJIZwyGF$9cXHjnI3l7Ypq`5!;Oj1spPe*`%15|BHW5Sq~;
ziNzE{LDu#mqMD!d)cIn8;Edxo*+t^$_lu8uGv7<dZR#o<;J1L2Ph(?MsVHb)FX{gM
z)JYf_u1^TEHHYQr1Lt*q3M2VNbbH0~FNEh;1M8kBGZegt&62Vf!v4Ok1=%cLh>11M
znfW!Qm`aLkue%_Cvl1JVnm4r*(P^yuhWw_O{W-?-<_j;5@+)bRDqY0(-3`tU_L?9e
z*L~vcX>MHER_CfM*Gq(a9eyO3XN(+Xx8}KhTsT5uje2{(pD6VSNISf21mjD!pQR%?
z(9~rhV{&zf$ovzRdU>xAYHUqbmyEK(q4~A(nd<L^!E>%hzOUBee*gdg|Njh^cRbba
z8^-PIz4zug#&I|{pUX<L6iTJYYG{|QB%?G)Bt=q5QAUaek$yfO4I@fPA(ELDQKHPB
zfA81x$NgN-bKlqXrg5x4vOAd*g1_#@jhg=;1h~Zg{wkP*2FK^kyE!nUQHA_3KMA`=
zBlm?^Gc>{OTw54Bq=T=`cYmB9pgY{LYn+A13$d4PJZ3`}V{v2a+uy{E4VQJ)x3i#8
z9@dv8&xV<h#PTm+{t!mw%zd%Xrm%b8RZR0(B+TmR`W3U&#EXTGIofMYaoywHgZPRC
zqCZhf#*H~c1n7$}JsM2l$8+}2&Rq*cNLYEH;fXoojK9u}#MLHHk225C_Ff=nw_ZL}
zGqOOe{-AvNeG?OQ4N}jVPcIOOXWswjtzbifprww24-=iK(?8dZEf8hB#agSxIZ%Be
zrSjmAF-jY~JG7G*iQX>)uFNP-logC}bRILtn@YK?Wh^$7&et?Vuyf;<zG1_DQDgL$
zKhG`u9~;zr>N?bJ^59@l%{SWu2FL)qu)aS#JV%uWJU8<~Eb{hf@CpV}>U!u;)j6On
z{dpw9j33_$^-pVkHp0Uui~r3nazMA|rHZM!AUf7v-8Z0Vgu(Wr+~FBcXmeNjy88)3
zH6^w>InoeZJj=SCN^;}smc!#Cn?(^>o@!CiWq`Y`_8vWJc+k>SSH_+xhO0*vuBfdw
zKxPqjNB`b37`kTIU7r<4VnDh5ojQF~L>r#FM(0Bho6#P&|0H4ZXVoUpb^3U9*LUlo
zCVsS!YKujSNJHeG-`fKNbeybjxMp};5G^JbZ-u;(0oNk;ild2iv}E7SJ#j-Aw7<)h
zMDpdZT4VC3zB3&KzSre)0z_f$qs5nYUjdxI_Vs0o(qTaVU_)FKgF9!j;omkTJUD&T
z-0YVgJ{A5^k!=&l;q5f{A2O==ZKl8Y{D&U)<s?3QXd{W_1MND7-fB1%biR2fCmm~+
z50H`nlLFiB$%ixd)xn{3u%^e7j!Dn?Q*V4^aM0D65|z_LoFIqSs>^hoPKjr`ryz${
zEvaSa)3q>pB{PVS(Z?IJaf7xQdBi-i%rDc^0k=}&o$4BWJYav#yf~wX4DOKH<_2AC
zkMXT@yJr9`qkz^xc@?Y|{&lJCm>%xc4#pm+F+|*^toYbMRh-OZ^D#5h$4J+(-h?Ov
z)|{7wdB3PZtLh9c_88#JO#C^vE(Y|99}It$(7>4z@08>OBe<mOakc(v45sCi-t`+b
zq5ORz(&qvL|8^dJ<?(}wi;F6(S6N!%XwfP*cQHoyLFGCQeN*iA<n4(a(Z>73v!dz!
z#z=o;HIaRhg>#4Mb?c0E@qn%^walN1M_(WRXplF@y46+LkM_{8_kf_^tH(?<C-(3E
z@xlViN*N;CFYBT0r@y-I()`2}JT2jfwZhg8qkcvf9p`R5k_j(m;-0{eMf^G&)T*r8
zFMU=Yd27EO$==L_l8(6hO?5k{?r%J;00Y$8?^LyVZj9N9L&*t)1lIof^L_e-0TyTG
z`eiy8pmj@KaeD)_8WpT6<u$~u4AG}kkxT#nRlm5zd3)S(h>Kq@Xow4oE}YX}^l^Xg
z!C^iV2e|&`GqtKWz)60JKKq@9!!`%^4VODWG48GTHD?24T-Q_HU#Sg+Wcq(la>SVB
z$-qNV`j83pZ>Wpbz{{0+C3m+t;^gt%&<zoEq=l(Y*R4>+DLFNcx==?%C{st5IqAW~
z?Tqcz4tWUmt_acG=LpfSLwz5+b&+?!UWL3biQqY(r|BykVIvXPIkZg&|4k896sHI*
zb{2T`@Hs+kZM@aJ*ILlCynm)<lp8j)Ts4wU9dN9myGUA96MgIZ0vguN5j1vTZ(T13
ztP_!8UmvE9+2w28n5ARHJNq8ayMy-dsg>#5^idU=A<eHI_<kf#X)3rK3AIPsz{at{
zP-X0VpKENHQcp^S@5rlK0Avn2X($IP!1N<4I4H4~ys^P$j{7WdTGk`tN3<+-UlVNO
ztv|@ic0AG&q5wTgH}ib06u2K;SYMPsLH>SWHo4i1K-|ctl(mi$V3!{%lAwN*n_gQ!
zTf5#4eM2GIWfP*X$&+m18<`{nJXWlqJz|TF^0m)y<qF|Xn%YG1wm;--yGUzurVTEg
z;OzVNo)2Y-7ut$k{*ala@1tiLt<f*86mxP54}QAzBC39pJnbK$;LdA}MYD?>%N#gS
zdbBQMns<_9)4#`^=3)i9r-o2;6dRUD240tt`%Qjpu1XJ2v_w05jCQ@`9I>lhHvOK+
zFY@><m+-7M3kc{&=g<9bns~Cq{JYKEIN4<EIb1}yz?!_UlQJW}iF==EQ?{RelA`<T
zEZ4=FBV?=D_*l|75r6zlxO>egY4Yias%e)Q&LoE#S6Yq`H<+s!(d{GTt39i$L>$bp
zZPtfAEcTr+wLQAAM1Gh|@=2|^oyWpoKRZLw<ZeQ?GI_Y^+#so#T(bB`f`z%{=`MMq
zod~E_6ZSV6Aaz1k76`_gBBqE|@?&!|k#TvyvLXL>vQl=(;}cUR5Y<Ujce>p`IOs<y
zQ40N}%FxQe!M!H9DytAK&HaLyoBXc%Dxi<tF!j$$X^08G#Mf)AS3M-Ee|=rPrMs7O
zT3Dqpzk>-j^$i8q<$**>&cK4trCzdoK6`N2urZ?g_&$iAEhOLiN3bOv?In-w7d`HB
zz!=4*)Yhw11u1ECzO(#7FPVHNxGv%!1Fm7h;hlo7NLof}>3B;o8RGr&^4Mtx+Ik*F
z_14spiKW*oPq_Dy=|}r4<E0oFq&VfG4I9aS5v}e@|N6+B-Fe)5-Hjl$z?pK=potuh
zXKU*E&`)*-?Ui{QVF)QhUW1ZH&1Ct>@^t_9?<9}vP{5x;1B7f-6KXMTAshFKzpaoS
zBy(4E%D4CG<K5+^cgiJgWE3||_~Pjy@^yG+zn7{$I=P=5(p}y`2Jo$qm)9F1eW$zT
zUHs|L$$mDjI@U?fnEw&gUp7i|EHm{?%hyBTNaywGFI}XL0(-u#>Q7QX)2Uu}iUzji
znUe+{J>=Ij+d`i`A1B2>c%2@0p+S%>VMMmCmwagxU)v(^i~KxJbA6Mk3;NcWRjibL
zGFQ~N%q8YG`QLQ~_KF!DtkTZa*7P4BkGTc$Iw}1jS2_`!o@~*<^YA3;O79`kQwIWJ
z-=|3WV%*8cRZDxktfE;XVua*xwOYm1^_N^c5u*NFUmI3wUp6$p8zt|L@3Bb{o+YPN
zs~v5-u7yL1Y*|hE<0Qw4r`?`m^W@?7Z!c8DwXl!863BURf^=N&PYH^$QD6D*PTfDR
ziQYs){gBLW^2w}ZTK-vfD(0ol`yxS2u$1U}gD)q^b_YXVNo`K*2o>Vvm!bh~+RKUf
zj485Xh4l^MCl_^ZGLT<LSpzvX@_V~){w22!I$NC`;Gr&B@(0TmtD{y>=-FWF47pGB
z@B7CRd=&ZR&oxe0b+mrkz96}Bp4`H{%%3A%fGSVq`?+gK4UIve&fDh}$(<WZD|D5F
zsm{m?tHn~(ut(7HOkp@X#o6gBsvj##WgYak8g*0y-%bIJiwd07)qC4EWh#kNrRs`K
zG&VKR0!#E?3~*7=Kc@wbcS}&OFBH0()~e!ie}>D^9v<po_u$QQO;Qx;l=<fE4ONUa
zzo~;LALSVK*0Fq2hT3WE7%dg6if1p#thrDDDyt*JO=OikrFGmb@WwG!)J{0<{~{|)
z`TX9VcCkZ|+IEb!BI>LvE@?hX(~1_Qrux*_6bn?S;Ms;p`|hh^%I3eb(^BHpT&82V
zl#d#vGvaoqeOwhUCX5y;K1xvXgSs1Pxil!d(?wbw8`WU<s8E@xkfN$9i+A$A*Q7WK
zT}qaHSA%9?%oVjp8OpHwl-bz-v?=-1rrE-G)RD)z;_?GAd8&W*ywj1ly41#vvhnuU
zHPE!km6Ux-k$Ur5*hOegk9xLAPrk8P6S=m51_Qb(RAJg0drfBp>gxXd+6HfJY}z0i
zD7~mk9gopE9(T)#GU7b(@i$W!zoYU_+n-RUuKs8f4dyhaOukqq()Q`$$K_cJ$ZAq<
zgGwXoOqf(?n~mHHNdp+9#%X4}(4wgQ&xIKqO{ldiA^22=fr5$2Kq6d++HUt#!6U$w
ziq#7j@9#ForHLJ*)hrq{(kqkm)|Ew_^RO#$8!~~^B_ofiF+D0O$(ZV#VNsi8O;>)_
zGsE(>j+Ne5^(oePp>tD^8O7J8`iA?a1uoZ?DhKHpQtrH*kAjYwQCSIx#*{3r;r;z^
z=5)LfWm1`SEML!z8ait)*ZJKR121LL61^Fe_3d5$MtfP5dFz76@fCo${#)<#Y6fM-
z=siIrOsU$(EiFWnJvbi^RM2>hsrf6>8)ok?DW#cO_54x?1jGza56Bo(8?9EPRTMF(
zj#6FO^e2w+q^I_k{$fz>M!ODY_vuq!N=A1hBAu`^SB0sa&Y&FpIxqQ)>r%=aJSTGa
zoss&9el3}wL0uf)%w?vjL5Vo~gKe`j{&XHxs=Z-I+4+9jvE{BJbwoY(IR8FpObw2c
z)~))~?M}s)**7Jq?A?(MMOQmR$=B+q-X}fk``%N3&;8}0UV2B~`?KhTxa^No`|j#e
z{)V4TzhzC3*Bs1FHYPh^)UD=E##U|0>7cUDaB(Z)KVVUv%jbksF^^97@M}^BVxB$g
zKKqX_v3icA!;UDtGorQnxf=C0Cbjk4b}p>?FV0E$vje#9-*3sAQKok9^^}{`<3|Fs
zRD0gc0jT5Ob>+T1wVBco^A8e+uu*N!xeR-Fg(+U+%9N(+?E>9P?up{#W{&=&oc3ti
zcX6vkvpD6Xn6`1~mKb8@a^r&z1KKOUYMJE;Q;#l>ce|R1!#S(8SLZW<jp^-oC_7&2
z&~)AB*Wu#eRf?$E_Q?)8xlH@`T^!W=yB~P86U4Ejy>5`b&lcBw+z*_0o*|RY-T$+4
z>HPQ2N^!>Qwt$)PzKyTO$+DRFPdC<!<GF5R-DkQDq;HOT%7=B4shvY)thzYdirDMw
z{jH(9F(xUo;5O-lVA1{wF-W&X^-ktkp>0t9uB&7lkun>8<9dx4+QOx`t(~yM<FhVi
zyq^XM9<y!7zvYQxc+Z2!f0tXL^}*lQJ0~WHqgvHksaM6|$bU=9_>KkYf^z=1=I0cV
z(^hum)^#z|H#6C`2w1?SW+XrF=q$k!IMbl^L=4(%jadJVnuGs9<Da`(i$uo4*7?kC
zF<j}HXDb{v1K)|Xg_P&)5d7W}!_pSVo>=*<hP%wbcxL;~E1nZ`rsk(hPKrZt`Sc2p
z5f%zHWd_XcxFNZvSMd4tlAal<=QxkB(00ONpIHwNelZJ~)u$z}ec8~cH75%qrwkd-
zB6#s|H1PmoAc@Bb2l)iAn!?1$JtSL{AJ>l7TuB&{g#7-XQ>iRdlsEUYZMZ7{gSs0F
zf^VcSxNM+Vpv?qbJl>wK?S=4a%@cbaN*XEG0(U)$HNmgoEFyY97)N}%KiYkeLDWTY
z!vU5F-fh|W_RDHfY&qi{Rx&S(e7~@*BI8VGr(B#+Hx`4+s`4AX&hl{h7amvmhzY&Q
z88=@Qah#JQQiKZ>kdjzj=@G?5M7-MwLtX-7v=>%e^prrhxI8QNU?R9(;h4CFB;<O3
z>;11<8L5J+N6wfqafk7OvB6pj2Yfod9w1aveq7M>kunn>JT`n%3zSBquHIe&ni`5m
z+!b`Bnc!wWer#u^3?7!|7Nn`DWAb(q?Uy_gE?FA&-NUl53zS?*SJ%K?Lb-&QArrb!
z6N(pH<-wJkx)^1oiLWox9CX()A$6$JsJ%h~^Qduabk@R`j?2aZr<v$vI~!&IC0w72
zQmgl0$_-ENiD=g|abV*oJLYF)m=qogIUcJ6-y#NAxuyvoj>qg-X}9Eimv?fT<mjTP
zCNFw4#RN}R9BM0;Rl~IP&kKhs8p15>lwU|Mai#hJ<I%rr7>%418Ew+TiDaSfiDFau
zjy#RD{Hl(Hy4wojpXk_QT>JC$b{0Y#Izl(U)BvsXT&rG{KDvnF5?7iTg6DtGGx9Vc
ze&)N?!6XAb{#(Z##bb_a`Fr=P<F)X^vntY^Wr%-gw*2jyHphdIml5Ux+SoF%cX!Es
zL+HH=UpYHt0UyoS!ghuZlJl}+dwv=sKW&(2tDqIKgQ6_gkLh6ch|aO!lZFUsiz>dN
zV~wg)g^og3bRkgns&wB|L#W%mp|5hWLEig)OT<7!&F@RSEhdJDI$^2i9%PHuRPwr4
zIt|xKlpUG73^4f9e8Z1pcBuKrTYP_zhTG58(|kAS!^yLw-S`9n|7CHPHc9HCi#l@J
zm5+|UZ!;!}EP&cW?6)Q5^zbhDV^(bp4fKX<@_Dy`fBin55C72MeZ1z8(;FS|HK}!v
z%>qFUwAZWx8Y<55OiTXK!kMRn`qv%omvmKY={2X}Y{87jLvBqZKiTD-xWs*$pJZ;*
zZ|R~-J0<$9xH>dK^v(BOw#R06KmYh49Z*hVY{#@!5w=(GX3<T1=zCuqUoWMD`G>7;
zb?J(*xzjVhH{Bk$4!ZP*)3jl0MPsBX%E7g`{OGC}dng!v)N`e4A)1XhXWf7l_C9)T
z?Y7AthE{?78cW=2L7EN{oDzsl2|jy8%O1P-8}+*hX&`3U>MHF&Q852&<la93IETNq
zD4bTq&Ztuh6|sWI_vP3#l?5zXC)8H<sv<pBzO1^A7psq~c&+0Js0#!<ZZ1%P+OCCx
z!=>CfnQrC#k^@*?Scs{cO33Y3Z8Epxge>pft0_JNr0oub*%d0_Mq&0&FAsJM?9lo=
zQDg^!b`9m$k8)5r8S2XOZjmSx)AYz^x5G?*a6yxtEZ7S^M&E6oCvtCTjk|l;;?wHF
zej-L1&Erp)RX64cxuJ&~8h33l)K`<|#Vdv4F`4f3!gIuH^TYtbS!;CuuXZZ=kp#Hi
zK1j4I)uZ(4o>r{4Mi--Oe`}OD`a~mtc*M^UUL3o1i|$(?eC3YE*Y}9w>5rrXWg+v#
zz8t|Nh_FJkes<HJW1`sf_WXwjcNYl%NEz$<`z*nkll|b>IuW!-JiXN_%?9UIfd;it
z7RdZL`k(8N5K3dVWbK}1gJIT_ozDpiXmpoWCO;EI08>D$zY`_C!DXHubrU<zU3y>+
z4$UJwqh1KW<U_7ZnH(o1JDxg~tC^#mVe)Rx!jezB-f@~*!-a!}e<kg%n&J0Rqt|{R
z{3zelo-TBq8^08$1WlyO@Z4pN!+9A$xJR#kq1cwe>VrZ2y;K$=*RoxzYvhBG`#Xz+
zk-V^%nY>yl&q6q>Y=QkHAHq1Nf_NqP@f^xTT#hNO>TG?s>Kh*f6t=teFZI=xI-8_t
zVv1!4<UBWM@S~4`nKwy7(94-=e^+gST3ho*`6PZE*HXRq;iw3fv(F9O^)<otkErN=
zWdT@xzvWg~C5jxk?~Ji|CK5s_ve$kRz>rKt<MCE8#9FQN9l6DX{TsU>+lPYiwov(H
z%OQc&%!IEKE1A$aYctyMNC?R+H@5&t;$U{_wSYNej7&bMxc)^LTh^Xo+jUtA^S7GW
z9zQn5^Z})7sgj})I4@>czbK8ms@wcQhm5h(KImF$qbSntHlCf0l|>TY!HW`>#$b^1
zQr0)cz~aC4%u`(+B|=>J`+1EKYcn@g87q!A(~2GZ9SUIG^Wk;sW?))4=EG2=1auA<
z(PSSf!LNSPmatb0=)Nq<*^wlP*;@>Mtvf0xZ8u*p{Fs4H7vjHkmPp}qLVHB%7gZRf
zDH$6)VBi`1){(wRX(;;f(pOEW;ZpIY1lgwy%%15n9$zVo5|e)4dMOP|SY|vkZDfF8
zTll`bLJnnLO3Te$G~w!*carlj14%CbI))t-miU`q$aYE#;w@=LDkjEA;MrJuqDK+`
znXkwgt<y$citJ|QNn<phIu>JjRT=CT9hXl^=|Zn8bNk45W4sb@nrLRK;=^vG-O7P9
z?9~^(Iqc8GET@-Uo4Oi!q^ae5iuB+jwAa62dg&e2dYb79>UjCmPL-UX<1LSZfZtsc
ztUF-Q&?u*YKbBP;jT#1cWvIyadA}*1N>r}4RMdnI%U8w1))1n*4(}#BSzzk6y4kB}
zA><}&{IaPLe!LHT$Kzp!IpT?tii$SEbGLr0TQtJq^_1cD-R6j!w)6{;(LrbHavqi&
z1NW@AR4q@pKw*MUumPto%J>f^X&zy~<1z;uN2?`%)@cO(?a)PX36Ga-I0N$9gIfDE
ztuf7g`+&?%8lu(W3O0H%Knm`;-tnIez7=D<&QTAAD$4p{JPaJT>SG;UV+*b)$*&S$
zFV$C7Egq6Ff>c6q(*J}A#NIrcc}Rs0{^}0X`wa#V@Th&eK@}K|*LB{%nvTQ!gfdws
z`iR%$^ZR&jDaMwEv=^<S<4GN#>Rm5Av=s4s?qAx^I_DA}epH}?BdN)a$3YiOHded~
z@%C7L-OXFPLJu#VQ6(+B+6b*Y<m}vHj}!I7#~t+b@MXI;M_0v?-sQS(DuND3QCyIy
zIz+>vN*%v1d(?1^v+`z)t^<NEynk$cNf*Mb(6tfX%6QkkY`MRI1FFB>sSdoP12GTR
z;}N3rVBM7SN>y~gs=XceGQzd7VLRiggRC@G7WjF@{k6v<l~ZX6tF&-eVQg+NS{yAs
z=aZMcvPYz&wa_<lO$=ARJ!XGf81toN<7_AG(HGF%Jkq3&;jpJ;87h3(k#m3TI+i_F
z*O~-IrKn+p8?(7DlnV^{yQa)8;7BB=&%-4FFI}k@NV~>{SdpNwIJ1N)Th3j7;Gztb
z51vo1a?TRDBeA}wy1<$}SL_C66p#_>Lod*uB0ANWil)f~crrRCq8j8-@^!OF#kpUE
z_NKn|VejmaQP85epOQiTY2Hu7$WLN<{2dlu$Zly5D%tzCNujnqlf_E>LHHzDta-iK
z7SST7oSS4N(KSD~#_#bkv2tUcxcfyLl(5UTdoA6ccA%j5hvG1?#@PGOiB@Y^OgfDh
z3yOgw!~g3<@-X3@y3^vlhBZ$4y>(KK5kab=<F~BN5u!A`BK+iGE5xok{&g)w2<Gnf
z^#Wf<iF1BJFaK9#iQ@dt{4cZxaN>sD3J=ye@hH_UE?LzQzWHOiExvrXbm=i`UFifd
zb3!X}Cei|XR=wC?-m(mDJ#D8IcKjwZ8`2YheKSW4*NUo>=Xk*SUbTFh_(P0XUeXC!
zZjN7klL0<QxG`X0Oom!d6Vky+c3uz7Fg4wN=gLJcY)+*8)86op$YP%Ny{&47UBCH5
zsZLIi8!Bd3C(ROfCVnX{zs$nA_uGaGyg5;3vHeL_?>wPBWyx<Y$O7-NkHyF5I1q2g
zu#cm&Au_@1(Ed169O+1xe_X=>_ahbMt3%nb>9Ow6D6c7q?A{FRG7dQWefcWoJqL0l
ze>IjQnxIAF8w49TaD7Dmnm)mWnS-I7jnXDCYfdTs!_JBDXXiy-UUK7RtyZO54inS8
zrwrdO^`mnBUFK%rW#E00TV-v=M4C(1<(@`Pyt{0Wt|`rjXX0#CWP>p{m-{)?2XkT1
zrJ>oZVSc>Mf2lUN!x$y~D*_^wxS_~b<<H$Eh=6!8an&VX7?c^-w43C{=Ucu9pZ^m^
zmFx6e(0vAcCvHB!HNpdr5X-B@H$<_bveiz?n*r&}5SutIUKrdnZ}w>x!>Scts;77v
z2<Ycjkp~~L-Bu5@s7v76`ygx6C?mvk{PcTulOL+y_M(~zk{EA1yO{IW5Tj3m22HdC
zk>Jth<|ZPIJ9(>9qD~lMPc>s;ZIcizzuE?`dnf~Xwbz)eydi{j|JE?`MNsove8Tv!
z9K2t=Q(5-P0JpPFCW?L*#ZHM?+3F1nQ2X}0L-~XOs&7ROSB{CH<)U5aldVdS2~F4@
z<6(e(Jzi(Nsz^Y!`pX5+com$u&2N@zYk->mQ0461lDHl)KkhuL3KPw(tDPJSz?)-y
z*!;Z|yg%1WzSmVp-glLUHv$b1{Q0*=_Bt618KrY`hiSl&KRm@e&j89_A_6OZ%0h+b
zwyao-CTJQgV>U5EXetSR=DjD6In_fS4!JD(*L2%CBHIuX*^`}lv5F`+-|6t?wGQ|t
zzL}p5FoLMD>oQunGW`9#IP=%g@M3a3Z6%$7%ek)<4V_gnzNV&j+gCmOmU=pzMltZd
zQCvTDvl^Nrc01IB=tDQawtevMQclnst1yUAhr5lQtjaF~aFb@GmM%<K$Xa9<=V)N?
zc$nK@uo3R|ME9`Um|(Oe)JLpY6Vn@9e2(}sKsDd9np$s)1`(P09o*V5KlQ#gcZz{t
zPV&dI1QuRyJMGwOqJ!FFfl14ja>@P3w1kU&X1Jz&Dz0XeE^b^bVp+d2M#N;?4F6^e
zNN@zzMIWHy{{R30|Njh^cRbZ^6vyqo_e%EVUgKVSf6p~aAr&PpDlL=|%4!H%A)Asd
zL`MBeM&GAUsmxGFMn>6tl=1WLc|Cue*E!Go^EsbX{pOo2YZSN?ADq-QrU#xMEwdXv
zh|sLoKp0t~fJKSJ_}RM#AYAe`<kw*m9CPgQNUx!Q-K9}BPX#0B9muHU<yM9Si@1hO
z3kq<qr!ovR7(+<Pl<Y)?GB}@4w+Vhk2D2+OTT~?g1{0ayi8W>DQNI>(*i#M44_Y){
z9Rir>Trpi2Q-L$f@7$?-R6xYyOfY9C6^3+Po$01gf!_bL6FHlRkWci<XXQ45EFBZ!
zYemY?*Bo=>F}ET-93(zU2rz;8pJEQeLdqa?Urn+`T^{(c^2)0pcj`<$rbqUZAl~;B
z@06tsj6Y@R=3X{|UFfxClO+-2covh<m?ZQxb+<;)nS%Ws)AMp^B}f@2B<v3qg*|KA
z5!Q<)aQN3J?(>}laC=YJ)9oh!s_lLczI-x)k;^9zwzw&PwK&t!*VEka?wvz0_k9!4
zY7PzPTa<&>Vxd}tv@FnI_i^)}u?Z|B-frjek_D{<MuF>kv~ZAL->Ybt3QGg56LPcC
zaCC)P*IIHF^P!mOcLY%(<Ad(S9#1K7Io~|!@M#iDFWw~5@>Ai1h2qWF?OmX^{jAu<
zsTZ4gX7aKp58$@t=k5>s;&5<UI3(gv8CH{1mVH$VVA(sGj{T7c7@9oIbD?d*$J0V%
zGNLiqXMdP!n;--u)f{~Sbl>qwUiUh+3S*$Xx{`Toh#%5Z^TL(R4&avuDnASL8o>v%
z6D%W5yrA>qTORj|A$&q?e%hSH2*9DHF7h2W>`wFc_;qF&U#rodFf%lS(tPf<U~3LY
znLasV!!(TlF15});A;S@F`c{JDXb9r`fHTI&>;S8#KiUTOMNh}8h879nF%!I(@bb>
ze&SnW#9qG*J(z2}sVuxe4=)s64R15|;(=#f&mFYTgHXmhKKmMIA@gZuVHTwe-)b+~
z^*l`%<d(3B_y28Uf>)kp4bimWC2x$Zoac1l`?h-3Wv30SdQ;W0!k`g9+07ZJV5I|W
zGMq-IgVr&^s|UKuDKGF+q~na2Xv3&xs}~L3Dwf5oKdVybjZq$(xUKPOL%LhDhULf-
zR!~$yO4@vhiEfXqX9j4&Di5u}yx1c4eQ`l_i2NQi>T?r}_@fDbKc>yNX3S$B96GY=
zPPAb)5dy|hCp01ap}QuX^BiWz*{J_AvI|q$sAdXo*MR9Rf_HrD4A%MJ?dR7;y_kU8
zM1hs12HY;wOQM=jW0$hs_5APwY_ys$w)vwv)cZ=aI!I1o0XNSN=(`MKAFe!Pnb@Ze
ztc@p`k`GN{QXzNvY}QAxj;MWO5iJzReQj4J{A~iO38$F}jvvP&eS7w#9Npnq{s+ze
z!U?RRabo+s!2~v;L~_|0B11j((Wf?i0^^t8=UV%33ai-4PA&BygMdrY&1<5QSWHgH
zg|+XqSXr@@L=qhtLa+aJXRDmVewQwZowzcO6}Q_a9#B(*-|Ox(SME(=!C3A-U|7WR
zHo1%|995zGXhY=1)M<>zkgi?+za?xtyP^|IR)LO%vgi3DGuY96_f9~_3U->zDly%m
z45$3+M~-RFVfT5mpE3EaVO=-9aw-Isp>2ry_>#yxHeC8LT0izLw)FH{LiA}8&;>Sb
z>WeR68((MNE_7~SxCfw+QX;VJnJq0eUc~BL_bL}yZDV80*M1h!5#hqCYfigEmoUc^
z?4$S=4aDHKf<mX2U~}u$zTb1p*wZ78475IUQ1pkjXBJlkp-KVqmmxdc9;TV};$i^a
zr74n|q9Vwcu$mQ`u4DGK1L?#TMxcI`KH8o_0M~PS#B3=4u;2@o*U44Pa8@RU=+8xf
zHKpSE@<W@LglE+1P#Y_dvlAA3q7~psLQDC9qHRpO^ijr&1P90fDBR&!06(2Cl}VDc
z(5SPNb~l>~((7ioWOC)9F|J4KQUo3R<VY;ps^EbiQbDSZ4CR5LD%wa%gaJHiDwxH!
z_+a03<h#Fva*&oQ*-qN&kDftrgVfItSGNs)?mdtLO)M;hy^I-RLk={%l?sCI>7v*+
z8#zeLRQ*))h84E6C^MQx!q8xD8uD_N9Q3_nQ`V#90LQ_IyT8ARf*c|HnE$3Muox%2
z6Aj>k6<?bBLu3i~VMX(!d0rMO9JH2wQhC5y)zZbLUJ~Y&{{)Qgyl3a?=C0!B1FH`u
zD-0i`pw_|BBuZWmh>zzfRTcc;cD&H0c%KYd1-+A0zaj^2rWW6ty#+y2MUT99LKYI0
z_wLAq95D3#d7|Vf4A@oT<B>vn_?X~(fx$~23Nm@@pL>bIs<OCxZU_N>M|`1~Gf;rX
z$m+iz<>C;a_%Z5ofD)JuPg0#Q0yvx&Sh^@C2?;c3i-RLbp#Ra%EGtA2zWK0}#@b84
zsTY;8Dn&d0)moi&Q-BE7@f;OzUP^<Rh1sx7hZ;N}C|y}tC4o*z?spj_Sr|TeT>Ab7
z8E*WYvP;rYg}{9hLo6k7(0ERMrHok}q&%pdu2;yQue1Hfb*C@oFwOpbv>Gtm|Knl6
zA_atJ?0Rb239yIlbDP6Y4On)~JNx~a2E?^o3oW~-1UDJ@_E^Vj0-0fAW*|cgl=mj&
zsV)&=Hexw3hFc2)NLmkyYILB+GIZ>Wn=)`-E=};X&;n^4GoBOMdLVm1Vs^D&1-vS^
zAKxNt!JKK{>BbX=P`;}7xOiF>3>MKE#~V#3K5}SJAZ`rrtz4Ixf2ctO2XpnWNexJU
zY?}Wm65#RV=j-}ZGPp|@pcmEZAl#tg7?(?hcLp_1imqgk`Y;_bPocoC_N?HX$0i`2
z?PADsi40A8lVw4;DrCKt^!e^-3a*dLpYm#xp?fGEUY8N!ij7qE4M8*TDbSSkeyRo|
z%X_-u+|K^?W>*M?nnCr*`hshMDkK}F+SRkkz^kO=Kc;arkbjwJ<E^3s^8PME*Pe(&
z>X~o0H6P7Dh%YIbJB$SRUi`V(M}ANUyK;>+-wa|ohVE28Rf0(J@Do`_RtU|{o;5mY
z2CT+)=VD6<;KHp_e|TdZTN&Q(9=l=+EpM(Q+)S5;5bXDva^p^n`;m{dc%Ug*gsMkL
z-<E~q#iGdXD!*~UzPwSLB@<{XORcwdk%r;e8;S?2)^Ufgik>{@O<>J*hBdHJ67oYY
z9yumPhpsIBJRS6v3VbnDIa@<wkWOvWS=nSn#r_9`xJ{|>w>w=yKuZ`H#J?1mBNh}G
z^5&4%OMrr)oa)&|ey|ujlG2vOhN_;kJA11F=$^lEByNYhtL3WH${Kbg`@Ygy&jEvz
zIb4({C)r^?i}Inc!yJf5+w0-qGseLEi+6~blL?&IueGe*<v>?Wru-$Y8^Pz>Zxx;!
z(ZT^YYaUm34s<@fK}t5&5QLPI{uH*ZV^YUl<?pC+AX~+-B>M&f2pBtGEXuTiamY#$
zySv!YRtnnw^H(1h!kyv?B4gOS5a+sTA9i#ij@OXIKp#Tc9-JA``HIo@<OWQMu_MFc
zu=>fndT=ngU6G%@2p1lp_!+gbp%$^5jzgWgP$q1DossYjr+b__PDp1%S&XD&D-~Uk
za#;VkoiKv4*srQs-(f?C{*(_CM(Y5PzFYLye^a=Wv)8qua5i*yp-41*K^rP-%`KjC
zF5pv+K35rEu%Vv(;@1yOYlFgY7B26#j8~OprSLGaqs>MLyWO_KQ(lvTZps=S<#l|Z
zIfxxiE$wfS+Tp3fTyrHO@*h68zTRK5n**tzrfWRVs0nxKj|4F|Y~j^@y+(f~IZz|I
ztiHTg6NW*4it8Q?N-x_UDEh^TMAr>MIodS9LCm)3L@zCJ&5+&{Vc|ya=hOG6pVEK`
z1+C6YBzko0071?`g$E_b^|DpWsYB*1fu$ce8PH2($}H~;4{``{5BG>rhv7lz4W1rG
zbZld3zx@YZG*M=Eib+u&n!T0(iW@T{4UP*;e_rz;>LJy|XJ07L@ZoJ|e+3I7uBBPm
zzUN1jqSlU=*C~*-DACEH%ZA$b*v9nD2q5BQ`QAV!3LH!@%u(uOM}M8^<j!gcA^vqk
zThC!K3|MFSmqu`+v_EGfeUgNci8uGeu3R!KI1H(eo!~~ToR?o22#KPmf<8|fH!{3U
zGVEu3!h=ScdUv(F6hn3E8lL*bWLT;Hc_5>L7qMyQR4d+)Kpv`6$1yQ7<d5jx(P`yF
z4qDZo0w*L<<C|0~5-l0dTuZAnq7^{i9G@2%$x>+4#mhkFw;Bk|pZ4Fh5JVcOasQ%C
zrID!MhyU_->H?o=y&pdjLPqaYeZF6mL1in)M)c^(0N*ma1tmq$P^Q(O;UifTDIAsR
zC_{#ri_dKNOGVM&w3Bi72jo!Z@Pd=CEg2dV_0g=IINIBGT4+N}0hQl8*l-|~3?lml
zgJT7EA;16HRF@(NNOJPWQu6{CPTCmo@0pQA&%XBfFHb2Vd^nLf;7kE&cFOslt5WEB
zSB=?~Lqud*em3m%90jbrMM%va(&&VsLq|d-2^o6nS#2b%gPs^Iy<>n3dPn_id6-oN
zVX1hm@No?=aio3f5G{**+u)~;wJO3JJ`2R@YXT`Qv0@-g4&C_V3}N1C$jyGYah$Fe
zkSQM?o%&B6HQ3!ctfo&!GJTSF57}zN(blMxyNwE{**at<DvOMK%Qff*!*$@)YYoc&
zF9cK_Rx5gToQ!t4{ZJd}(uJ+G!!3*ripc+I@R=nR3bOkVGaaC%5AsIYzoH71kc{6i
zH8Kqa4cq3mt7IF%i{wb$^$HQ8>k7OoO=OfxTs5ZUH3CD{5AOPWB-HZc(5aF$Wb{UA
z*t|Z#7z#?dj?Bc6keG&07FU8AGKlx8_5X%}qEO!x)1M?{EaPB5%czPb?1@Ws_W?>B
zo{C9rkkCoj0+++`%ILN``?Wt3JAQQTh1kR>33ZnH#`0||A#ACU?m!9^oRy1NKBkk<
zU3+%fqC5h+RNC{1X`KpBj%*pd5ho!$$?5A)C3#fmL|Z8VCLqKeFkRqEM6uJDC6+6L
z;(JMJW3DDJ9XaUA5UYeNZYNEK%Sj;@3p`;v&;$}}OxvGFDI%hEWqIaJam1c$wqMN0
z1k|sV(nMY&plH8_@qhHf$hju4u>PnC+&DO+G_I_G+)7sHB4+r|&;f-;0eO=hozG6Q
z8k9qHw2Id2DO@PV-9YE!FDi(hyC1z3A&V|p%^D$d7Sz%BFo-XS3WIB6cdN)UDDKyj
zam8^uWTos7rfWonM-M$kuJ=kIxiAAx@39TMy3*Yt_a}hMyZoYOBD+ybkBRow^JP4a
zMQXV+0HF5UH&4DK36$4hw9>>mhmX;CM;sFZ_$c&jESD^Xbld1}ZAOpdT&+5z+D;e*
zA5-$sm=i`qjT=ReP7mS2DTx&piN<g_v$Kfqn;^=%R9Jc3wHFstyZAZzlMyg>u2I*<
z_)(;vMXhK+7j9=)5qyBb2s%8Qh~K36P_&bgON#ARJn&~sinfU%I3DGb^9kWWUz_$4
zoUeYx8-LWC{TN~Zx(voWebQWLq$ln?&9N^0bo~BlvoHEUjrqHj6Tyy1|E#wTmVL*o
zJDLU>Mf8CX;oOyK$cj8R7wlZ*`tigg_tW>g=s{LW^kAYkGdlNL!t18N5Y9Yczx5XB
z!kypgL-N-c(Fw&vSFH3$@Wt7OH+dy=p)D%-2AZZv)mIze`UZ^SAGR*=i3RGwZ+Y6`
zU)gjh`RWsSuK5YP=IV5K&7d}H{AIG&j-o|9+N5vE4`%RDa!^J0K5clz-(i-XPlNiC
zr6!(|=5e%MS$^P^798~%-5t=ojdLZY5e9cJ;veQ8e`HnC0>8TSmA!Ra_+m=*Q&0J2
zT+Z3><NRYyn8UYEoS5FkYrkGQ9%8hLi>@SDEQx4>dbi^Rt@E4s3q!V-iZ1K;^d6?K
zbSWB;nEB$gh}0%t?`}q;^Xwn~kuX5dFRB60t_XH8i*4d#(O;<QoLl%$hpCs6nd+dC
zWp2}Gvx)ywP8Llwr$M=C)_diY)ZyMrLEh&#n>Y)L#=XnQv}oNq<B!5C3Z$4H*t_ri
z7Jer-MLFpo9cm;^%d739fEP>7c`=i1JizDH(7<&D^hPtp*K&XiJtUF4XNWY&^Y^_B
zGcG0+muJcIz>f@7LLaJMw9ufR3{lUQ-ZG=Rj}3YyM98q@pPqCnh8Csij<wk*v!Xbf
zYz-w}HK=eh5+k|Lp}MDgZ8&1t(cz{aFAp}VLamou%+gtU6h0exYP^gSl`rrZDN3q>
zefpj>Mt=r$WYPTE(#DSec7{AMy`utpA-=w&<&21hj{T*c5ig3l)w|n%Rv8|C4dZfR
zWkz3ay`j1!^C9K$bi;<1l|hEeS#>v*1$ilOWFO-YK);+q|NWgM!HJT4haMBy&{Ww-
zs#CTgs-s%PeF`DL)yeOcdJF8R-j&^F#9kPQB_zGytwaKfmaUY)Z%$;HllUFfMN!(I
zcwXgCBG?y5n{zSopboXL#u{~Tq(t9Q6aIt<cImP`6=YuY&Q|onl@q(rsCK{Kb|?`(
zI3?!Y^Woc>+c+lkY&TL}Rj=p{B!Y+W{SujOexx%j{y{`Y8qHL)bm+$tf$ErE!eS?g
zxSaC`<XvUZlihOt&4>tm!#XZmb3*9Gq5f=%ZdugP%=WrekOXGanL}cwBB*XSrP}<c
z{7z_K+xCekL5=5S>!XokNHA+ORdPZBT?pYX&^J_utnh5!>Tn4}4Rg<wj#Wgvo8HOa
z5K)11AsTPk3MJ8}WEr`8R3d7+BHp#6tO}})H3R9_q)-QU+EdycUAJU3iHNzS25;!o
z@3Q4cBPsun8-A};P~_sHu+>O1SX?Y(PwtmNnYtE<9WH7}PM)gtz@GxUi#BV^W#y29
zmDc;yp=4y9<#RkVP92yd^X7ke$fKarx3fKF6y!Ko?%&g_0o~!2UNJ}k#b$8{^Gs3D
z;Ma}}s=5~ZaEsd%;#5S+cK_|a<fV>k|FAhfuhE83_iImbZIlqFwfx1w7IpMa^PJ7*
zd0p72V0+>4Z6cce)-{x~rjFK`bIyAc^&!x6E9XKo32{F9dic}0I*QKAb7|Q&0C&Fs
zoU_A~k?&=xdb4D86r-Rd0KG;aFn|7ZowW+uLrGw$rBO%LMF)oFpJI@Et7C|zUj;G#
zic>#DprAC%Oo>000Np*sfjnxeNbJv}`*vJp<n+7J`D7p!g2k)+_86<8P<{Ts@&Fa|
zPSx|%Ns<YecgnWKGOHqn$Ftygmx#2ZmlX7?O`vaqg*huy1qG@tW_ceZpc?(Pk9_i`
zaPzLs0RJatw1@qggbAG-IuIwbA?soaK_T-J=ATKZ<2nmN<0~ojP$jLoGr|<|q*f>U
zlZc4!97%j#R2<3mUW^S4Gleso`u&C)J9BH($f&0XqScnT@}+a8AoFaf43!eliQ`4b
z7t6WPtv0e27r_+lC;687c@&VpvG;W!b0!oKq7u*0Wde&SsV}3Q<q&;wc1WD_22P%A
z>7l!30$TD*L8UKb5R0K@8Ar!7-e7Oj@`2F=Jg~^5W)^8=cjs`VZDuR}-&SUo+XE_?
zOz<?cwo0NGmi&i|TRSl2949_2Q7SaQ&A22~CXNh8wSI2qk70Y?vh1SG0&r64r8d11
zK`U^0fKOu%W8gikcY^>B<Tv!?)vO>Ak2>#I`)Co9yUae!a~1<?n2U+eaem}E#WQTz
zxr}-E{|c4bxpN*?#x|9&^PujSRNB|Vt5}Efu$k;bBjBzm_t^E26K!>UyaO4lSeSO~
z!=!hH5G9_*__v4^jrDSp?j)>Y0{nqJN%IDfX_s5MCC-GtYcgykORr)OlAg?<XaLXi
zUWW}&(jj%Df}b@PSFp&7tO6P5^?^C}PE-It4Wi$zKEr%_8GD%+RL4}T2L(g1tr{Z#
z@B#+u&)BUc?DR;C!qAc~)G3VfW@oJ6-CZ?YSw4%{d1;l_&*r-Dgsph(c+moGSHE}Q
zq5A@Muh62^<&h4EN7{)$I5C5t%KzgM;X9B0m(po>c}*KiGQP}J82rZHCHRr`AIxD7
z2RDoT9kii-QLOTK?=Wt2G3eK3_$($^!)$vT*8+u4S5?2j54_LpXf~NJgY~sG#C_iJ
z!3>Y|{qN_#;wp<7S4p(fSYN`SXQ`>0@Z++S?{)nqJhaC2mxbsQ#&n`VHlAG*610Bq
z`5az_>$l$<$@ZAUPU*G2xgV?ngB^5ApYZE=q4>QMH<%|eqkl2I=Qq`X|BaPqHQ_my
z>2#;!e*XkE#n)c87N8E{d6o^KWA89u?8xy;3lkWF;Xg#!qCnwGqY@sM&)Crq-lwC?
zCo#5N1!un9r2tbbpXp>?JH}l0D=4RX5<B#2-?14E3YdJOwB0<~g_RwNpycOIVON|}
zQ;wvOp?~$D`JKM+SdrDOI}4T5*h1qb$C@G;3RYMiNt*q@x`MSFFK*9Z3VZwML$9kr
z*iFB9a^?W0+c9)Qch4Ng?6O~CZ>}obBX>?11r1>ttW6ADs`J?MtYLNGE)~evs^;*a
z{KD$S)Epn^E?{5&)qd~cPyyxM(0HeX5iI#j@V&r`i`de(Lgw}T$`J1H->u2UF|29U
zD1EAS2|GtW;oX0q1d$r!XsF^hHokRA;*!A%_U*$Rxy^1O+>58_WUigSm>i;WMn_jM
zo(7TCW_cpeguJ^=nV7<|jB07V;_I0GM(!PJe<iqjZn(?dWEL}9OO)Bw{12nn%IDth
zRD^1VGdA|4b65pUVU{l67PhO9w$58q5zIf=y!~OefISyXiWb~Y133!bWNJDAwrSUI
zk?R++D-+Gx`%7qHhFY!4%0z%mmnxsqJ1=9wy1X4f)#*X}som7(bp>E9kZ3(XTE*-M
z&0W?*43P7Bm*tr`c{p{n*X!i2b&RlI*Uz(t3C><C=ZkQchad%3^wszuRy$PAdascM
zo~;dZ3@^*U^Hw>D`ov8v@5vc`O$K&oI8`3Ec2^Eu|IS+-;iCbD2YcwF0y*IVz1cZm
zF*)F&AR1GDTEK3!k1>kz0L>R5QL1HO{n0v$D<eHb^|#(WoXQIiSiUEyI?IB5Rj{tz
zD+btiXX?1UAwLAm^2a?Bm4)3CSba+Z6MU^<clBTu1cPr};o3iB;I2bi+VW!-c=7t^
zdntNh$ddKH@VHb4ijK4StMs#he<5!egNi7$^@x=0j+22$YZbVZEhkuAp}$=dDGo!n
zYpEB)WFS?Dc%+Yx2YxgbdVkt2303_bw)qJ%a8F@Ek1mK8@)8&aUtO1iO!b`Sg*7tJ
z`Y(#@p%_1Wo_hIDV@n$PBwsI1)5!vXJA+yKrvR9KRo-orCkqaPy_2u5$^y?d+~53@
z5cCWa+RnJhgBRsgt~8?@$eexSwlOFIRikoNBQ`sNYVX-XY?g!5*@faVa^jG4UEEmA
zRtd&>Z|c2nkq5%8*TA>LUBD;pFH_<{g1eSAgm69rg!n&w@<db$d>$}PtLCbJaptzu
zMz$i*7sf~G+>(a(drBHIhSeZ}mT<B?j0n$I%S4~A%Rr*Tg$v`n6nMClpcDT|8EVXq
zFQ<gbfnJbt(K<;T#_hfN+I`f(u=%Dqvy1|?WRf09YHPp%en2x~F9nAGi<Z3mo&fhW
z5_reuG$FX0oAe)t1_a?DE>&(yAmr#O!ab=8|A?K5Zme4HOup{oNp=!A>y}nB`fI_P
zPzR$udOG0$XV6O{MHwb+Pjd9X(*l=cq6T>hdN4|~ZahG*3QwDuuN3X%gu@HBX;j$_
z!8BL#MI2QPu2Puh46L=_r>REsr~Agx^~d4O8)-6(Qfb%egEZlBXa9quU;vgIzfKee
zkwH%4(>A_G1M2qf(v2#iLiH(X`Qv9~*hmbb##d0_B(st-Z<PtuW=EVoT26+nYKDty
zscJA75Ei|aW(ui(H+O&~!^n7FOvX_XbZIR5749<wr}0;2?{|~o<={|8OPd0aR#I&K
zzBPkj_uTqvDK(&+Tz>N2KnCpG`W>ce%|WOm-`J!~1yXGV{KMnL;rfN>$&(!Bz%3?o
zzI~MhT2B(sRGIU`;Ua;}{o`iveto|sCmRv!Vmao^9x}u6(Z&6r)6F2@5;@gyg#dCr
z=9jsRmNDMiH_hMF%wSQiw94#@JV5*%?G)uayc%Omu_!ZzvIv6S%XC>78RnUKdwl`_
zqc!%FPudiEee+h8u1Z5rM7v1aUK;e9{@%IoQ6|t~bupzkTN3(AuEqT=VnotaHGc1w
zs30L7S3H;`2I99@99lA2k*=6eZHyxoK861bZmJi8(`z3cxi4`bg4#hbyam8cFaPL@
zIzO~?OZ7P!bD=bO&&h66fMw~=6?h9b^cE~76&&M6Y2-dWjawKTe$2h?-oUzZ&)#xt
z9_2=AhJrkyA;uuJ5R}7e&H%rYFQqi@<b(eK009603|D77)omEI_dfPMI2?z=IrjeF
zj+F{&(3=^hL`6nXw2VRnW$#i}B1%L3pNyu+sEkrp(XjV?eZ4+Bzx#LJ*K-XOw`#)S
zbaU{2@nQ5{+B$Ypd{F1{q##;W**>jTX9j_~OXu_Q=dj}zx58FS1<@YK86o~5Q@9?i
z`!|U62UBTFwl8oLL>uQ0($=L+LDfpLzTtQerp8&}<uf6G&K|N&lX5eGbNkn)Gs`1z
zuHQ4iEi(mB7Ejvn`C?;OHMF`kne+uGUKn!La}hvRCwmT^STq9h{hqVj8b9$u&D%Q~
zsRC$aev+55%Lq6=Z8<1+c><5jN=!*5382rSQdzza4S_tqSMCt&EPl7XJm8b10P3~4
z8gM|~5Zw3^vsZ=|aKg=9LPfCxsQ7TG=kF^9K+Urg<~+HAUqko0>}CWIK~wogHLC&0
z^AL*!TGsJ}7xIJgNrK3<UCJThtUi3|?kcEVWJ03D!Eb!kg^<Q@62X;OA5Lq2IiVKG
zf>`&6-_E`zgk<)NJMdoCgCp}&2g4^>QRs}7*(rTtv|Z(cRhhUROfRN*SnOv<^@X9U
zvEPM}BxQe^ZJ923#K!!nZ0A5?&X0%o7KtF{SOIkwYh7SDtsInQ%Y_z&Rl<{_31~mH
zC`4db2SS`Y0*^IuBg3rL_5M&%w7cY+!My|>poZfc2c3A)A1QyUjaV@>q6LX`BOQp1
z=&KF*!-w`Nw^TfPAda4rG%cC`(P61*&_zE-0IBZ3@NQ^D0=+)MbSbTr4t?rnKZ<mO
z(DVL-%ho<p=x57P>-l4J;N2>wu&5%8V(-Zf<o%RJJ^Wg&0cLb4%y)^YP!&O4*_k#s
zF3Y02y~_C#qI8JuoUt%ACZNmf4)4;p$s@(0&kYCWX~1DUXT0JeigZ7W&ijiiqQIHX
zksZS{ID_e2r>2RaNq^qHIB_E4GDO6sej1S2bwURQ#gVfJ`6(hPq1vne4rcwL0gIQ6
z{*1LGGWxVH%iT&DeNEC$yS_n#|6GE2R_mqE2RR>itz#;Pmhk=KE;1b$Goo&=O$JrA
zN8XFNO+tIeyEQ_5=`i}k*&%B}7O7k3pBo)gMg9-NrIH@d!OE7A?OiI5GKals*6L)`
zU^<*+E};X&|8y2_n<^r`S$>VPLF%Z|HSC{Q>Lwl-iSB3+QQq~P>#?;I^uxAyHBwC%
z>YgwOSt=``FzM&D+7lXRW$v(e;wN1on-BbnR#ZkcOIvOmNKsK}$Nj2>Ts`PljS2gz
zsDj)qCB9fuw2&6J_K%)(`cPJ1Enr3@p*z3q+XzzH=tR};mJ3k^Kv0v88IV&&O3v<z
z&-%2H(2#7}wiH7c`7SvdCZdLVR<`tU>e0{(dhS>MdLw9i&8si5tcK)S2(q&KXvnEA
zqO)zm7zzUF<-^*@=)Q73s&u2FMnOu40%i)L5A4;~lhl!C*z6T!eHwZmdU^k|L^C*d
zI00m+6m%i-_%qhG+Q_H3nQ!)!IqZq+iaS+CL0w~C#(uSHA^)YEE8b!l1l?J8bYap!
zJ0I?dej86kQ+-iYrHTLvk)<|$6b&?-l?r>OG*CS~zp%Ch!0=L^s+XDu;`87-Eh|Mq
z#Qc40f(n+f#bc1Uc$R{wuk@1!`N(Mct^8WmIZKGXJ8HX@LP6DD4#F*8NhtQ|{(^}2
zmN0%!HFql;1?6DyN;yjz@eO=ib6vNDttBMa(QWETRbS0g)`f`l!qcv9m0~~`MeKCg
zF*2I1C<)tQDUba8dUUqRF<`1MuRkGJ4SjoCa(GNY8aeg&Ez0vT;C5R-;h>u;;<I^m
z=m$j{rIhZ8R~xm2xKB(M6Lm;PbnlO;+S?*XI>CTXw$>8(4?ZJCttlg}1YNE;UP09L
z<!W-*2}_VK718%^P(pj8?ZmQfaU+?q@DxckOE`#cY%IhPQP!dVJ~arkqkKJ?Uy+>v
z=^j%^Wrrfl>&iOTX3LB&Tp6iiL;}3rP|n+7Est8S=_WUZuHycVaRT0Q0I~{CLWY@S
zk@q*xgD<NW@ai{d*SgMNkZ3){@75=U6pWfKn8?rKzrI#P*gv;`tI=<UvcE{6OKH7F
zEmEiOSAo*pLhI&${A8kR7R3;O%zDx9^8}vGdRHwA%t5)OSFguH6fGBTF|y_u$K_=8
z?@Yy-0aMOf$+2<~gtfD*vYh;fpS|m?)Y@ta)HA~~)|fEL8N3vvH}wx^+M#f?M8*_u
z2Pd=HZ~D;F&ht)IHWRqpNW|E?Koc+|Ki0@D<42*bS5yj$CvoIc+3DF}4D3}hasg$$
zs4-wh%3x{=p9uCW50^Ct3wqj|>0fRnSpVRc!>Jj3tCEnC_-P|Z{qlzWzd$b3+SD`L
zM4Q8}g-Wd%_8Y=qjfP*Vs+?#PcWV$KEZ`#Rx_dip3?V~ft~N-L12xLTD$GhP;co1E
z%X_K~;E3n}R~2)1)L^pVB*R$2S9Z?)VkjAaZAAYpN@hb+bFeXbc@2*x>rJzz>%)mg
zC4U0~8#?M<5J;Wcz?W*8E2M<<p|zj4y6FWgde&Y~i7;bEu1&vD^c6ig_28y3OA0Hp
zTwl$+lgxsQ?o=@h1oa?FRHC9kffd<*%*n`EVnxlz7q-~l)P*+3-4b{1vLe$xGV7+{
z>`2Q^An}EQE+pWDGaElyQCe(=Lp?Vq(uCc@_bYV(vop>4YsZE>h3@7TKH@^@PxrCv
zGIT(^EI{ndTQ<aBS`$-ymIq~}s^$dt(qUxBB^j$gcC>;lJXa3!AyDPs9)FS!603*0
ze6%?bzv$PSwI>A7aL|mv6Dc})o~aFpB5<M?w8SeV&O(TZ^W&P;OB%?=I1L*}aiLe^
ztLAml!sv)7g?Q>14Qx~Tv!X1yQOW0+zlRz`5IJx>;USR*2PiH3;;!(Z_<^dxGI>!H
zvWlJh_DCB%2*I7N*LjiNnf12tn_{S&iB#iaqzzS1<4JRA{D?_z+qP!11X^Z3>?QtI
z3-${1lNVeC(N?`Ymy5lU=*74^bLtT-ShP95FjXjoHjb(o#a2k8sKf+?^YU8ohoxgC
zqEZ;qf7Wq_6v(0<U4>=6KdI1H89e`_Lj+l#OHr+=lSj_+<K91;sc`<4dr6O=DEg~e
zIGP)wh$4v(pIf}30^H>Zo%a(%mj5<>HI))kwzSxbFCA2fKSP-o?GZ<1G}-|9uM!G9
z=y0BeQwt7NJ<1d~B#Ex`yb`2<3i|rK_sCICEl~8*;yx`bjYM0_WD++0t9v`wn*28{
zFiHAtccWVd&1XuKSV^d%l0^;`|9EXkD~>-aRxgL1O`oQE+$5vO$acaQjRv8gRi_Eh
z6wvuO>8FpSDd@EREw)pSX`u8xU2kkm5pCW3^8Qev2I6{z1!lU_p+0gq*BfRfgdT9%
z{!yl)UDbQt929im)}I3&6lLYjd)T*_WoV%z*LEdqu;@bRlIXPOHWkE4L~~iQ+Nj~|
zn^-jtJ#gDUR6iO{LPKkuuQJnU=w<Cw{jD1Mu<iZj%wvVBsQqL!bFefW(YGo^9t<*o
zymC1IuvraJ?N*#VMbnXOfZyxa9fq*_Vux(mH!^Y=cV~T8Pe-1PSoyMpG2pv8k46uw
zBZoGD^0*IlRH`-}mf2?l%5SFJzqe2jiCi06Tuw*#0t3XILd-y@X12oWrUtri^D9zk
z7ac89ZI`%sEr7ZncVVZVCL&n9=Dg8BLt3wTt{zIqAX(8v$L*FT5`QzW@pn!eeY8&P
z)sF+<U8G*>{HlqbH)c4CGHW5Xxr>A9+Lln^zD1#R6W94#v#-Ba1BKGR6761ELX)&N
z(|?7UsBGA6_jMI@w7c<Fijxrop7hCkKcZ-&@AppHE%~XUWZ&=p{>cmoDN<MUJH443
zJjl$6H<Zz-cLh&&yl23KlGp57It5io_f$DIE26Hfw=Da9GN9^ylh~&?b;NR~@q~`N
zEQ0*l=XS#kuuN^IUUwp+CMN4bW-bX7=8VkOUNeBH0W5QtRnal~J2h6mB8Vv7;3t2R
z0RdgI+NIY?NKJ@i!0aL)x>Q}0SmDHgi~~j6>C!3)pMM<f>B^4g{f|pmu2=%+J5sJh
zz7l%b{V_`Y@;bg}?fa{-97~wkI<<4ZDiN6+m9RN?ZWgD`Udw)LU<re(lH+253dk8>
zEEwn;#d|+^jQ@KN@Fu#V?QgLx`Zu(FH8#2%C(V@mwR-}1JIitOGE1Y$+)K8VLl1Gz
zcO#P92Qhd#H)6LxRsv<5C%TJ=BkbMG!pjp}7+hTXQ>3XUh6Gw&ZO)!-$ClhKX8fgF
zz#gf{1KWiNsA*xG8pZJi%fCGwJLP2#k7G>pBc+8=c(C>iBew?&Qa@k`sb+wUXca!a
zEr8w`y>_JZ_F$QO|BNhJOd;JQ>skC!UUZy9dLC@ujl~L0b_(;FLibMsSA8NEis1RK
zYw7R_OY@A8u5&U0^_}?3&&%wn&q-b?(77E8G#7Ui%rb^|hYCktJ!C~6bT1f?4c}tP
z8)wb`jv2u={J<y8I%f2BFvO)M^Eo#4+gno-GlGC^jdgM}8+b;pAJKOr7t?x1kaWv5
zgooy~`fL-ccoiFN;`6=|j~R;Rj$Sl?;z9G(6xU_^#6vDt8J9-fS38{5!QBA#lZ~^x
zl@{@Pln;r?d~JA|q2pS5lRmui881k*o5#(L+JEQs`GkLL$i#H%`atLmeJcNa7UxZS
zo116Shkx96)oY<}v+ww<th_%xgPV4j#n@f?fqQH-XMefbcjlYlxMrT2#)ZuPZkr4l
z!aGX)GlQ<_0)r`H(e=p`{(|B|E%*J2Ga8Ohjq&P&0{igqe9b9bbJup>S+_Af?eL8i
zLXr+JWNfY8wol>}AG3@!eE#CJ(V7e0f;zy{cdTmY_9T9^&cyrZnF%~xj<BYjPKO@<
z28(+|leqmETF$e*Q+UDf^WYI89Ukhy(4{w%xZ&2dY<spDJfWBGgg_My=8A`{!bGQV
zURLh!ubXD^TavouR7)C^w)cs##ZKWFmmZQm^X74>YkBis71~hGvwP=GscBr?fc0?r
z&CUJwRj0~s>M-x;E617Jr}4YkgEy#h8UGPbd2)fE1z*Yb_4JAvoNcR2yYc3IS_~vS
z4>?nTxS=%>RX&SnbN!;~xNqQ#QM%{CZ)!qnXx`L9+Z-;p#{8#zjR}42@f$Pxp#h!N
zcZXGF7I6K^d}(ig7UVA9E73~V01NU~SB`6oc=C(Yn21?cwDrEpyiWoJ_`7m*Ikc8>
z#@&Z4kwxst-(K26@3%T=wS>|HR#xzrBYS^RPI4mhQrw<oXLXRzd@*x+X$>#_d(kB;
zoEzPH-2D7IB7@BaLFT476SDbq=apJ9FRDFKq?vC-h7qy5;>HflXui<#^hHhql%C{!
z^w<+MP<u7nDshVi^`3UWw0G0@r^r9lg{{?~BA#7oP?`-*Z=H5!eIbmVED7P^J*wbd
zciHet9XpD#pt{`HPCzy7f{cbpRiJ$6=h}6K6ICN&0uz%Mx~2NQXP3GvMDypAR0nb+
z#WCKXJ$>RRW53>&&YvXs^LW1aa1t+Sh^twy8jwU^+T^m$ACf?cr{ZzQcYegZnrBK8
zmqG7+l{_ZXNFds=qk~Cb2#q%x$v-(Qhv*KjH=kW4!D3MVs!oP5>PXpj^Ae9D>U>6S
zpUfu#i%0X?c^LxQZQ}jc@B|TM9{6Aq+DZZq9@}k_FGbO{^5KAcb4sYJJhr|?UKP&v
zL>y&H6i0mDc#o29s-SF_oe$_~sxW^C*yK)2B2AXcM+!Ss5rwTMCe=g@!l>O7eJRrD
zvaLXfEQyS|*Y5aai;&^jnS^1jPFb{Z?Yj3iVG7z4?>?MEQU|Hlj1E&X1(YVK|CTDG
ziNddsw4OLkfx5KsOi4c#QFUXGyq1g>n()@SW+AHy48-#7v858a@yGT{rYH>!F3a^Y
z32A}SL>pWBJ!QlwIl3V)K}R_k`}&!*X^^1p8?>QHLjII36G{9!s1#;(nd0bhBv|;x
znNn5s@#Ck?+v7UuW1z154FO#c+ivhrR-26Cgr@@w?(1&msrSeI-{`^Zbk*XWRqE(N
z-anf}YdxeB{Mj(Q$^b-I#zUu+HIPWb1Cd_^dMNvSQp*xD0;d-H$IfRp(ecm_mRpbY
z(74U6tVa_jP<vzVle>?o2zrt(dY;!qi$`mRg|*Eg(mPq;=5sC7@q+liXGRyvGrSzo
zQ4DAXxslWH+9+tm@xBMYF50>gG&s8HFJ`W)T0ZPF6n02qd;3Q^s(CZKA=6?B0TW@y
z`SLWBZ2WzUW=BJ{kJ{t+-(x_>_?@b5J{me3%q-%uu8E8zMkJIES;5Jn3>V`(ZM4A2
z)iNNVj^0q`E?Uf3fynPGetaLakf*)bvMC1%F>U8CzT;>OX}(!)t`$^ttS&QDc1{u5
z1$G{}8et6q31z#hZ8XtG3&QddNol0Ie)EXZNo&Y3X5V2@OhE~25n7dBL{M2xnMdz-
zYv_08)IZxzMzQ;E|K_UTLU|&hr8&&j@Snx^;p_iYk&}w=Z>h)2xSzdVdT)*u+%Opn
z9iLJ`T^q4Gn=bd`;bcm5E6EBJ-Y;Dqm{LMMJ3CAVmcL_<Pw6O56)~V|l!%xY6_JmJ
z?BhE}X0Z>p#xmuby_l?npP!VHN9>7y)X3#Ej5F=?dy}h{@Z{XXSHF)*qj%&#E|Zs8
zphI@39I;x0jg7NJ+M+lLV8mSr6J!U!?_tuuX8<ym*SXD~6VTM0<L-Ez12Qg49$1>j
z;Nz8Ub_XPc<|=x6Ltb+N<77=&`hvw~e|(8QVCO^12b%H)oVXxH)B`u;v;fbNmO5Q7
zP81uPBYxl%7etQKasMWogZ1wHyw5JOph%H(y<=WnP<}v)U}<LtqJavjPli_Ub8gSs
z7G$~L-EEU!72&3E)V7E3#?3k0L`u@$tAP`^#MoHQ-8TUj&i+F_661LAo6y~oUYu~?
z=SeEplrdB#R`@+RG>8X;(^GoaIbgX;Yc$Km7;fhibPc|>;k)6f>BBM(;QH5fG$+vr
zuJ3C<tvy_fDdz?=r}%R~>+h!`7l#aiBJt#)+o?{hQRd37yTAb_?B1DoTN=WdV{d32
z)&p3~_xt@lx*Sl+pFU%F#{j;PniImrMlt>j(;NX?4v3_>=Q;@)fTB5gi#d*C7oFua
zk4JF8M#J{AU(f2pK|=KU1GZ_b;KV<RqPERBm+Hx7vwCncQaUKGY8D$FA8%N)=Y-Jc
zJl^DEdO&FafjRvJ%=*AxuZ%HHkhSOB6ZTIRbo@O8lnR!xA&Oe=wfkJKi@%s)8>|Zh
z4uZtF#TAUbd-u>n4mYsR(yLdObU=@q`?|({9dj%9bYQLFfx4MTcuu?y@UC8af7XEs
z4$wN~`DS?GQ|wtOJ!u`-ZXjZJGLjjZ(|aQGJ^5i}4%^vRO^3fH_8d;W&jNn0ggasu
z1YrJi$f-w;bTC)kUl26O3f-dXY6D(E5EMD7IzLGR(FRvY1$J0p*41fq7l!eHN58r=
zXpk}ea>e}?2LxP9)o2S5fxV2$u?kxn;Kw|S6*hS=n0vAv?hwG_=_l#ibJ{?e%Ue;X
z<c1)toozXDqR_~!op>rh8zdjEE9SfNLb`df_c32_XgsS``gcMLh?5)ldMNzh@mkDg
z>y!j^VQqExF<PJ*mVoof3c?AtEdPcADfoAQ7*3#Q!2nb9r`k**=%~(%-V-7NC30r}
z2@X-AF?Z2T<f$-t`np~J?}!{!U328!UQGr5z@E?LlOhlzoRat>P66~pWImJAsSxU%
zS+i~-3NOxPKYur@2-YzR$K5w^l@OECqj$uB<LPqF7AYk-<l*PLTuX(SZ*kvr$P#eK
zv!OD@TNw;!V+&z3RQRcy^Uk4J5_W%!qqaU#f%gLY<qBQ2K)mO$MPRfvTzMX&b5dCq
z7`GgKiwCvfFi%|Hhh4I;Q|;Iz{cJT5vh_bVo2?B@zmHWAZRFuAVNtA7P96AIq8_GM
z(ctNz;^#`TB5W*vS8=*S0b(+207^i$zmMpmL8F4|e_Kq65cfpii>R#$h5SyxKVP5&
z)4t}7FME|BOxEamP8Ag*pDUZ?@6Z7cxlVujS!M9xs9#PZYJ+39<dPkx3vJuN<`0#t
zKt7qsh&QD{-@A#RBqu!(d?D`mq=y9JKK2rOJ7~Zo<9b;6yguaB@kX9y-<<o*D|_Ef
zJ`MEptsd_%fYC;6Ic;?^Jje*vh%TXn?Df@LeK3OC3D^fe3w1bZFy5TfLx=L3bFKTD
zjp2}-6Np-DHuSRg8|r;@h@N5-d%MpRViTyv4-_@PXn89;@8&y^13xPw7R;bo{ln*?
zehpAhh>jgKqeHN^-0HLI7BC(sVvrT234%tPiF2ELtzNN^-~0xU(kii4@uMb8n79O#
zp3#O6?8hgHng9wMBO3%3HGzC=pL5g!D&*r=e!CvF1jP$nd)Y=bL7+PCVc`-57A|wZ
zkr_)MxKEvbx|u6wFI@6ubtZ%F-CrFG`x#KTG*U<7)dZE)@Pw2LBrtzrw3t`T0J96!
zmf|fMu;MD*Vs=*v%%v443kMhwRo$NMwTlA4_tFZ#rvR^W=`}sm3@G4vGO|TS9d@#3
zM6fwX!$#D)Mbs|_T&(5u4f&@AckJejiH>40l09Sgu7Lq5({2h^uc(4e=_f6}w?ZIA
zzEzihi2({CB{#ffNI<S?c{!KG4UDx|c^PvC&{H#~UGkOTNUvAIe#8PL>Fs>h!<Hb~
z<5Z_cRDzP8frkE#CF~v#ec;1+OL%y1?B&h7ijY&*Vs|QS5?f3=|9eu>5<cvs{LK!M
z2NNr$j&j-{7IbW3Y;Og?4YQz=PwvZrj>t-r#rbzwJ;$uOiUoj=b^L)qf)sd5M0W)q
zx{seaViVt=kAaL$s(yNbIIy9nlc#t;;?-Z4rr$JM0J+$^$9bP9#J<*<N}u_HyW%#U
zw<gTtWAMZ~O@;`tsYd6y27JYtMzha^%bUZ*m#go>_6mXCUgyNKO8vNt(S5tGJI#Rk
zT;YWoBYsd4E}yfk{)Q`_+j3R@iYe@4O69&F#RJO<H$1Lq^x@Nzzlxkbn83Bx2lJO4
zIYFAq-!j^&8|OPNcfx~U0{YsiDh8cwkoxRixH)$hP84#gR`4<g@fU0QSP=_+jbbnw
zJX>+i-qDTyRYs7y?UA^`BPQrBOJVZtZp5{J6o3BBVFX3$bhj%a>zIF3uy5e4YTQMs
zg7=({AvAUi)W>M9U_wf5&rZEc#YT$Gr;arkz~M)S*URrOV#Q-o|Iwa4!>Hx2*=N)Y
zU@@=d88KxZJ11&;MI7E@**-N6fyw&N($RhD(YsmfGuQLpGxi<Wnak0g>Kl5nKZ|Iz
zwqpj%UHzkWc=QVvv%}bhEm#kfqz?}4lAFdD`PHd*(cdsvqI*vFPhGhCuK36Zc?#R&
z=05v1egHduu|zc9TNldGeSGd7oy3N+32Nic!&rfE?#Y>NI$(>5`jxayU^|YM4Gs~1
zVMH;@5H>FzNL9KX{7QBL>wLgkCB8O>-F{T<cWa0a$N%Gz+-MxfHtIYN#*O{O;+rIB
z^#OEva9{cG>a%fdjn5+w{hPo}-xm@vU!cLkPw%r!HpVfd9Xc+DFHK<uiEnO*$I;-I
z;*hdT;shplZVZ>9&R{o{n;)4<(qNDFuS<>8No?iAN5#3(SxlP9+i2yc4WZBdN^jOp
zVlLQ4D-AS{9Z_C)zmTK_Ntc@AihQOpTDnS>e%&HQTO#dJZ`#xY0Z9!O?P;v_iR<l-
zj%AG8pX;H|LWQd;Vda)`GuRB9-khN18fH_a*HmV!3DI*At6o~OSX1ZP)m=#&SiM){
zrL<%Xa1U%`Z}FYO`rh)8YowXMrLE?Z;1FfAkJtb8#pf}ewDW0r5(@~kGU|;@DR6+S
zayiUu5o^$y3csts2IbLtJ8ZJlVYoeL0-s*O>PXx9IKHsMa3!05D3dy*g|y9ueO$pR
zDX$&yN1T8-#7kt3kzpa;@0#V0HS7elfD3ygH+0$W(JC2I1C5JSKa~kg5Q-WFJec^v
zXp8T3;eIuU5XdS@+r<pa5$xH8Ap)>Ca&o15R25cP7a07tEHK3u_m?GE2oxR|dXz+{
zg3_B>QEx*wC_8fK%4IGQP}W_KyC|j#g!rMEiXZH-#YubK`4$1bNtySadQJihyJM5C
zHJtDv-mfa~fEcv*pQ&6wL4usf{5YN(ZullM8p7rz0em~8hrbw-AmqQNPpXD^L3%8K
ze}|tGoG^`&CJK<CNMf2CVlM!`&0q7Q?#aN?#+7)lMHTRN>xys*6@nJh4&9q-oBE`2
z)h>BS1%7^NU-&mD42!yNc}fBlVfx}8+(L{5#ozTxn@$kmyI%-L@OL7##GZ0Yaw0*A
zI4_8*ib33Ij>zug%3%0ci)-6G65KDnpF6uQ4jztQV^(BIV14gFAcvkR{0{&C|Nj)1
zcRbhM7su^Q_RQWNe3p+*pW{O+*&$IRq*P`o74nS`Ei;Og$S9+b)%zAoC96WVqLi7v
z{rvttf858t=bp!TJ)dmd_H;(uqM&o~oTAb%C1Cn`Op@!b5|GI05iTkcFszSF#(hwM
znHpWg(_P9S{L+O*_L3yLC}`*V)qn$yJpyUnbgEFM<)<3CEDfn9#1Ywcb?|j%qe}|F
zLF&Gn<5E_#kS)crci<Nu@`Y;SxJl~p2-BTD@InqcSDOpA!--&rzhZo0A0C+LdX|2w
zD8NTcCVQ1@B$x>hljC$H!duI#ug8iMfyPL-&I}_14>9Ge>PHg9Jvq0DX(_|M@&#~o
z(gf9WZ&)l(Yl3+9Y3VC(R3PiCidGvR1&F1SC_-NgM$6Xb51Zk@CST&6R|W<2@9!%f
z*V6$nLeTuF8Z~H&v9?eiqd-pWBR-|$dce9|?rzJk0WVwS`v30KZ*=($4dfUApKH5#
zzVXg|*>h#9?oz-)<ZM^jj1im`Dm$HJK!ELk_(AhAP2fwpz~L?dK*}`Do17;=o93sM
zn0_*pG$fs#AR5CBXfPiq5aFm-Ex-2_5)3I!tR-pC;Ddqt;4K3ph;dFnx|~M<FNyOG
zW~?R<!)4`?CQbw%`n6`3K{beJ#+&z6m;m$7rgWcs1W3udVi@pA8H7@Vk8Wt1!rWPl
zqHFnhxO?p!+3mhO_{A26l}4DtbZ&&8lD7ub`1|blSd#)P|MLP48KzKff3aWpry7LW
zQf*GCion;UJGttyrttbnLg;T59K0TM$f0B4g~z+{!f#uf!pH81)NnHu5GbchsdZw6
z<=gJbTgxV}o;9X<#9Rq-GTioe%*|3I-J93QaVB8*Y?sxRu>#y)NqWn2tsHYTl3wxS
zFoFHGL#`oua!@?;CfhS<26O8BT)`AY11Be4w{d+L;ApC56oGY2{q1re-=Z-%aMf#!
z+}{nws)o~-m+8?G?&!rxZ)1oX3uLxh5QVdji<1Jf%xI6%HHt((fG$6iSmHGyIHigh
zDR!(Vp6F~*V-L{B?tQe)jvq>1j&oGiv7xMMR);2Yso)!$`-G=~2NK7cH}n$Ok#p+Q
z-O{2xz_o5SJ>t#|W!1aCc>QHZzm6$?<9uxd**sj^vJp(6^Q>3y=K?$OS1L4X>NAAW
zRGqSeLUhm=Y8zbno*n(|luB}7GK2~f(x9~d3e`|$uH@?lc7&BQN^$ELz$u9VxiN`<
z)MNeoJzK@t(RcP{zz6BWmX3{^(xowKg!5s=E3eql2a8>lttvej_G6EyCw-+pOTRmq
z=f;No6vZ{$nDij>>GnY9su!lhS0H~!gbfWBO?+TJq6>2mGC8AtI<c=J7CKSCSdnAG
z`(^Q$IzYRj>M?w31RK~8eM9JAMU(WKcK3yJph!ujDY|nUJNCQo*zP`7l*Vv?L+y(8
z&iq7Wci)-8{%(GMJI2C>ObB!?VSlxN9HILN_hSxIl)xX0c4R{&-M2%Q$FyK1+v0ff
z+eNHOe!p4tCpP48)^aKI8wJc2u;+rID;V6?Fjw<tM~Z5??mc!C__UcC&&|1xQR6oM
z%fxXYuWp>4%QsC3UMlf&iQB}Igz!J-g*j2@fQR<VQBA;St!>V)Z)1GY*DKsLxKJw_
zokRH_GAzFHu;J9EM{D_tQe;1F<a5L9OWGwe^n7wSO%7l{^@_g;g9AK>+hY6rTYfUs
zTea=I@`4c+d8ekw8Sx^XAKf>dN=Q&R|E=UL9W$a5o|d>M@S%N&!VV<blE5`bf$7;%
z7KFR8R1~bhkNUXZy?nGvgaa$Ge;PirqJXY&9ww>)`g+5Fe<FWp&oQ2_J8#8~LVIm$
zEP@45(W?(*ACD3tP%id@*aQbEk@+WF*ery$p9k)%6(vGGyXL3O$6Tl^zvt6``XXr0
zW+K<UR|II6(O^GunFlR?BWIenh$8yO+!}T^1Q<!|`c!Ygi|UGuFpCIr<U4rc3TX`w
z`lT~UdKP?W&?k+3*nT%+$+YfgeT4_T<q0v30Dh#SVm{1cC4~wu<!epfz(cUGTcBXE
z0LlnXj&ISDK|i0gjvTyzhs;i<e!DF}l=$lgHtHyg8We<h`XlfV_{FJL^|Ua$7+d#1
zAzltKr}5gAJ;4K)8iz#TlnA1oTWMWrl}Aw=U8dSoc(8G`x%n_b40&%R3z8KSk($zG
zl&UiUTpFXR!p$VmXfI~Q7OR9ZN1BzAW(gqaR`JG2LUQN5rTxvz$|!c`Ubd4n5!h_S
zB@8*F(F31!yVriI=yu>B<?J^i?B|ml<cO0&tggq$xBlYL(ktQWM`uWIE6;z@AYB&W
zl*4Oi9_py6@IdIa6dA;}UVK_9l|!DQv4Rcl8pz<k1)Yi6o%*b)`HyyabmKtNG!92V
z^Mz6x1wS-F>2Y#J|AGQ)6BakJB@<Eg9w`pr1q!@q72w<!RYKLXGJ$k8L}aXdP|QzJ
z8{EWieu~#sM*Dp7bJG+_=;x?VV_c99Os6K-&04CUJ5uUtCwxiBTks7pW1lXR+sZTj
zwo^qR4Y|Ryi6j)hM2<V+s1Iis{7xqW4p~-T^vDP&q1eXU3GG1xxN@61)VWIyeHR}(
zCT>VVgu5~=H%}WujL)7IvDIqm39t86*+wFw#HD?kpV|Y(=*E_Sjyf7TEiKtCOhkjo
zflGi0kY(iY35!xkg@-Mht$p!``{GH$>0W@$?U6d|bafOYwR<AlK^?s=AM~p7HwKlQ
zq~+1`>S&9<gIQ%k73pxtRos|1hNU-F5eA~_=w2?>-N{uMIb@Vy&$Xd}iLF=i$N$t2
zLxob?SfK(UMTTkPQ)p1pX><f%i$nWvygoTOD~qZ+6Aim-X%O-J@?u+qDhdj^b$d^O
z6k78C6H(nngV9HShX2b|K`A3j6NzDBh-agbDqTT?WMW|?zn3x^y_d8n<f9<M=go-{
z6KTLFBQRght%Sk`SATZg=0%e|(c8(kG`RWr&-=<e1>{m$s2T8r9SI5e{gPp!K`-lh
zwLu+ugkzUktFvQ7Ymz6#VxJoWe(6uEb+arQc70jfxwwv*Ty08FvoeOabxC=~t}>`)
ze{Mgk!8|6Ee0hE4Hvmg<zDx6_B-&-)XH%Clj(HM(`W*`g&?Y=Js5&ZvYVezGX`lPB
zRAEm(GXa1H-QAz=4vC^~F5IUJHr`|ULmX-jHdOGM3FCYlFO29OD&%~2Ps9}DnsxOr
z?}2+)Jt|n;1rgnT;=8ogSJW7NN8?vTMo>M_8H7Cek-guykw)c4>Ze%oea%CLaE?D*
zK`x0G{bX4<>;C*5)ko#J)wZZ1(D&%&&h~SohDDCe5ByD3Zu`;e1&0klGJt)$a-0Lj
z7_!;-8zbs@(Mt!1Gxgz_0x7g%FB|G&xW0UduAJ%|YJ$rg(}RzVN6*}uVMdV_wOUFc
zG%O<Z%d<L)9>}OPTq2GzB3!!%v1sZgwl*IZEfJ>+uiVb1ToGbGT$`OG)Q?Tr^oGfB
z><=Ay;dtkd^>sRwW%;sNXQUmgX*YfN6?DKuS~5(>V+*@gDj6{@*o_%mrfjr5)`kQ9
z8f&7`8<_C2VK$%d0G6EhlEs=+8`|ft@)GpcF#XBrxx=#~m{U@zziOx!>>W4Q<SSUg
zUa^XhL$$^*y~em6{ofRrIPu_?i1#wKEBkk3`L%JZxas}J6D}063ZyS}IlF{i<v-Hq
zKRkimyQZIg?TaSVb!g)o$``SmQ~I827Bd(f?b*KT)|%kl)O~1;vWUs*naMex{D)cm
zRg!UNBLho*#6|z<1+3-rL+W46d5qKL(Z@bJGDKeC&b94Zz|QX%_t)iL#J2Cd?dIww
zLCnXZjqsHP?1@)L6gTrSMvY09>GdRm&EcMpF(!-H090MQ%e#tI87+~G=853VkrQ~o
zW)V|euwOCLTgPUKI4HzuBJec}^xi(YgxNF8EpGj{iOKkozL)KAr0t7W;h$8NG5gF*
z(xZ#p7@eV?R=hU>7K(X%O{G_`Lt^Q9hUWC>OYLOz&xd$8tea^Z0jn4-{S<3^IRj!<
zt22!s(SQkp8{vB58n!BK)zhZKgs_iT?-NxGIM{NRG|9SwRfdeDruH+VG|TejvlrDN
zBk`8Oo3c%;tZ=%iI+qp6+@H}<>QDpx(O%EY#BFTU)rX!ZnH{}&xX_0use$*Kg1P-|
zbV%^v!TW{JIZ^vhyP36nIKb52J4!FmqxKJH9Vb_~QN7qFSqUy2XcdGOxasW7+bvVe
z+MPU{3*Ig=j#Y)Z=+I^7OeWOH`eX0CG(L1U_y~3XE>*amM_-*Q$ASVn1Hzv03!tdz
z5A-^ZRDkJLvO9k}D=OJ*Gk>Q<5XpCnKeeE#z}_(GpXxkzlwQzfq!b{G$oqrev;I?t
z9M7b;(*>MJyT1J-#aR?RRgODHDpdwk!PV=A1KcQGkgYTJoH*)EFx(oystm6+GYkoG
zyy*V6yZ4u8yHWDGfPUF2WsvGgx4Rd>hf1w3>&8k-qc4|i6~n!i!7-a!_+^kEl~TUE
za2}FDo+k5V4Lj$|&~9F8KO>0FYwrKybwCawRmLM%Yn34)Nf6G63!|ZXEJbRc<<YQY
zC7qp^3b@y0jMz+ypx18=Bkg<?(JgM<^L`Ii!0g1ATf;xZQ1?Rf=>lnGWMJ*iTj8h*
zGaS-i7`G)*SMr0V(Z4E4Pu#XCnTCT~Sl#svkU~j}p}(!0acC}+m1V<64T^_ah6U_p
zP`9Z>N^rS4N@%LfknL6nevPGk=X<h9?tVN=V-6mDb-GhYxrv8>-LB^fr{z#Y$dIqN
z84(4z-zf_`NQ4JQN8g{bRY2zdCXD_glTe4mxjMH?B%pho&a+Uji1KsWCM|f#DAfL<
zZ($D^axGo=>?0_n2w9B|vvxA-zpHfUfd>T&gvG9NWvif&p6v@_zM9CmMsX%cTpOI5
zGXgF!<524zfvDPkO%xpu10Pm&V2$zOx8q0DcKX0XkK?1DX0Oi{vdemKvgl@0$Zd7h
z!NQQ>K~F(%mO>04au`C?KXdxhYz>qgUSXE<L=!nCv-2q{?t$jvSM?*8@W?Kjan50t
zj0R*pR;I-P4!-hjh!)@BiM=A?)f*(_#eAYwPRJOJ#7$Dt0|_XmGB0NRB@tOv9P=7n
zHilMnzkt9i1Y~6!QZ07`kM_QPvzc2%11=93xT-@y3HhyC|3-1h#iyOO#L)yY<yN|D
z9^#S3*9wl;BxUsBj~(}e_a>ltnBhxVod&Z0vZ|7LQXX00s-Aaqn!?TEt#kHw)lnMp
zIMZ`GX*7A|Z)}2sDd6?9T&&d8P<+R8pEKH`C~EG`x`mJ_ygkf!nv$f7I(yAuq!sfa
z=Y5rXe14k1Gj8F~v@T`TJ5^_rS;mS?xXOenDJGyv;`5eaP(lIB+wJFc*RgiGf`vUK
z6Yv$flG-Y(fJ7P3q@BG!icPA^Mzz$_U`tiH(HrE@crW)OxB3?9s{Z<d2hiYC#*?d(
z-ZH2wipwksKSiD0ExepjZwyR-56r#Smqdc1L8Z^QmZ|SzOq^KtjKMo~C3d7k3<;0B
zhoswWQk}bxe6g$mxYhgp@UzUFJnh)dKl_6Y!mSFoj41%ze7#)W4+Icjfc>*$#~8qM
z<ffp6FBKk$47s&_=S82L9`JrKW(3c>0@)=y`OEPkT}X3>&*gFj4XVo-!9(xIN@ubW
z=s$K8dB@6zrixbl);=>r(VBZ@a-|{M%DfKZ1B|F5{nf{(#f)H!j)j(u7(hkxe*r{E
zI%M0zXYJv^2<&eidMktsz;Nk<#q+DH*ls&bqaFrED7(;NBVwlyhgK8c7)Q=yHPzo+
zZPFRQ%g4UoG*u7ID10_$J2;8O;^YPN@eE+!b2PtfL>Gki>Wq86`GHM-3|xQQLJuPS
z@wh%sT~N9=^^z3*75j2m8eUwa2eI#oMivP=a6IAONNaEfMw!3O%&bojX(zj7v;Jy>
z)oA#(#|cDzKb#fG#77ST0^L>@taf}b`APkf+gIxCrl2HEdU|l#>ydb?N(-`-qU~v(
zL)4G@_AkA;=)vH|=-XUHEy#Y`5b(Kblv*G3G+{%N9=1ZE=)ZId_)U!z_Z|L2J@FJ(
zZ(g7WEl%I3^t_b+dr+if{uDKM>jV9PetJlE;e5SuLlZK2UvRbb&r&mwJ|+~pGC)?-
z=|*QRO)%^kysFziN2Sl;ee#cv5vnMy-E4QraFgNGRn^J`>aq#XEtW<`5WYCVv@S-5
zDf}ucHFb%4J6$<?@hKB1d8Clk^GVR#Z_k_-x<VBeqZn+IGQ;K8Q^r}kByg;{z%+V%
zjjFKvx#jKv3nYbyop){}Ld5nTqyL;XsDJanaRd?Bpyt;f`oL2}(2Aw|aL03ts$Ty?
zFsq0il6Re$*<vArbIIc)k$dSN|6<qa<F=fT_RY!8+@1gqEbYI)oT7)B>r-L&3fwTA
z=#DAp;z44WKTa*10S>an6?!P|0>@`T?mSx>z^}8Z5H!IE`p3EIe>~>}IX<=h$tN@*
zFe@S=$A%fAzBf_B$N0cpTAD4eQym&{mIALkSYX-di0LUk0r-}prxk0Z4%aGDACCpF
zf&PGa!lPnA7|7<Y8tYaAdcS}@mJ|+nIUsvyudy)Pnzv?Z^HT%;*JidRySc#WUAa}r
zst6o;d(Hfvh#I6yr`h2(cwocy0*_O-7~DwN3QO+5!D3Jy!BmSEzQ{*Nul7rTw#th1
zp==!duD%s9afT1leJo`4xTIjQsiQvRKO9^o)G%Au@k0(@+tWjuG9YE_?(jVl2l!1r
znv#kj7^+vs7lp_|(BJ#cjTtx?tIVI^Efaz>9`8=sx6460d$Z{3R~%TB49;J35`k|e
z?8ywE03x&n=1NU9z$tofR!WP3@T2t$jg5*RRb4bwS*r$BH1U0xStY<byYX`SQDxu*
z3Rxpi9Y~1`a*Di?kes0~YR;?*E{EHli;rqR1q>Qm>q)~@6(0+84GwCr96~Ht@t{z&
ztDzgoz%4MX(G6Ayfp6?nf@1{OFxC?DnU{q`lBUC60v^(CDe92k6XBugOJ{$wJY2i^
zF)L({0IM;c$peT4ZFJ{z<S!{e-pth*|5_rnwIxU#93g{fQO(HP4~l@jkMySmlVGBk
z?LI-30zF}s!J%TxfG_>jA0|i!HBHyT&NM9ut6huO>!|{Eb6w6?Z<FEFZ%>tnI2}+9
zdLyvwu_`E?4iKUalflu6=W0X0F5I;ixLo!b2i03|nb_9J5OHj<eK1cSw&VQyO#0N|
z?0$)5=kH_~I=7!?G29Tg7-?p~Z`FZj{_EO@U^4I?E`0aEX%9&7KYcD1rU6Y4ZV&W*
zCV}q)%KN|%@G$t4?AuihP!;=eqWK3A<_emPtR?{N?q+H^tB(f*_axDRAOh&S>lGc}
z@vpKhDIsMYJV+9RpM<?qhxu8y3$_k4crNRD_tumK82UH=(R`)~?uO@BhkI#oDW3_+
zx@th}lLI2R{gfbAN6NF(zyvOn|27#VsDrhFU!t(IJe-KP`IR4H0+Dfd`~F-}gZ%c-
zd4VsbK|RD~>}i4tP=nt8bTq($jnkT8MyMFD%gb>`N18y+Z5|(kRuxE(sU`=M3qVT2
z%FM}~{B=-J+}drd3<h0fCTSLK=;e^2nG2XeV(-JF*;$IfF+k}JTx10M%khl?bu@sE
z`q_zDd3a>=@>A616{_A`Tl2gl4LY=YSdEP3fW_0AQPT4_HQ0DL%=@=7B)3%+-A<E%
z;|?OO^c<Dc`W&XZmjTAm(<`IKuqX*p&}irRr5AGx83%?{fNb28*o%YWa5QuNkY3>*
zOr_HHVod~q#-+YV^?4D<3w&EMdf*>ca9&j~n-!p?PtwX<R|sa0AI;))S-^@;$^UpS
zPlbU!IflKZ{2+71+|l*m5;it{W_S9YJ<$47S4GT~7kC?rELt3wu`ced*Kx;<fNmnA
zGCP6`UhFlFdQi5E>35PfHsTC{dhh$n!2&i&wdA?s7Q2k8KMht{t1$q!At_ong&72c
z<0tmfEn~;qPcu8s>qAv@mr2=f24E0SQtH)N!uWlfgg%n>L6Ccujiq9X%9F(_^?ctV
zM$nv2T)3bIpK{K<V{cofI!}ryP)!yv3I8(VkS1Ml@WvmBzPLzjOJ@E4Qg0s96Z(2_
zMno4hETtB+^ZrrApP0Bk(4NDrc@`F!{dM4#$WU$Fok?ob^TQ94Y5%ay`p2^;KWjr+
z@C;)`-Y;rJ$D(Mr$1HYPG=B6wK^wyN+N5^`jZm={3YJ%mX0Q(3(X+o&wcxPiN!i-Q
z@6__=AI<$Ir!do|EA`hIwBWP&`pB!A4ywiF7$(7<NvuF~{(ER31=<g-(CM2sQN1Tu
zf1YHR#GYi1*TnwPgddD2%Z$#HQA70iRl(T_OnUj=g*&dA@KU}<#B(?a%Ze8&sTG>Q
zR;}V<&-Ic)x#)0vDQ`7a9LviYv-KBKuw4?|I6{U)vGq?#kDIVO;@3QRr3viv`~CjX
z10-lkGuq>|{u!g%(2V60Ca|2NlaK2>NDy{?p(uHv6MGaaN^e4(#HjTzMQf*s;CeRo
z{-JAK*hEbB$xQw!tlPoHk?9f<@G+!9W5!-AlFlu$L~|NzOWD``A14vc1Zfu&eFm`E
zyB*HglV`B`XE}qGdkByul7{to3}Z&eO*Y&zXR%9`=dV?t!2|F`={*(vfyvdMI&OLM
zANJ=@XtH{?29)!Z*!}+e6PvDeGmp-l!(L68_a^kHgLf~TMsdm*HeW(V86KL)T3$~>
zqlh{@6Az;G2mHng?Sj5#(iSn7D0}@kN7aDA<;}S1sXtgI!;wVywk2#ZSL{G&J`Rjk
z{oa&^Phf+Rie$^U6-*9~N{5zJclP0f{cN>USeHvp@IufUMxryeTeDOJN4em>0=`*n
zH`DgAZ_);4MW0gFTA%_P%Ks>HuK%#Txo1V)Cbux!>c_BioGMV?RYYIfJcsG89BJHq
zLx;Bdt`_|ZRECvO>54OU3)q=a@ef=?22^ocZ#HUJ2|N?8{hr!h#H<fbE@n0`qG#h1
zO^5B3U?C`T^uV`eY`^L6f2NVlNX@U?<yEU9IJ@K=81GuehCZF8()+NYv0Vr08Eh2c
z`~IAQJM0_Sc6L)FA(|cK6_oEQ>QMmdbyb;*fm>KYIXzE$7bp6y^LK6kX$8>lV?6Zu
z1|3Q+j<NCg;6X;mr-YLk6rica(4Tjk9`RqG=YO8gi~Lz;fB8R=hZk>RwtG_<k=e6b
z658_oh+;+yU$&Ena9@bYab!lz&ZEo;Uj@*MblmGJT=LM^J$=T4#)_U8Fph|p3ZZ+&
z1rm?H$bmz@M=p;mJ2JN}%sEvpf<#50+qo9X!A3Z0@YwPH^2Oe-Vhdtuy}(+DJ4p@{
ziVMzi=<=WtrBi2{Ja(f40>R{%+j5}E(*1oSf)~lMzYyu?lt$(%yK>d@<RIQ)=4(DP
zKRT(MO;@`tgMR&ZdYrjO4$k~dbk8giKuRe}NwKkVC^E;sv;`**2{krZZjnOh4$sQm
zZaoF`Eq=L`BUc^<S<+(c!$go);Khgpb|oa_bgEOqe1|VC3#%q(iy>OnL79Im%4mVo
zOLtO15zdF58OZu4fhde7oV+{U+0^Q~zOKLXkFm~bCjz9<u;OFNl&U%!!9}qSrYb{!
z^U5>ZTQZ0sTQzR!jz_eqINuawRcO4s9~)kmMfmxNSrJ<z^7(t<Rj;WUWLlrZWnGp>
z85y4#W&BAfIGS5)tv~~IO*Lp|@F=32oQHVJqsd78YGm|9Ln6!@Y5o`ZObNNt-}b7x
zu8Ar>=$Pg9k>K$aY8w9`6(pn^@=@7`f?{rZa+to*gyEBAo>9xHXs{t9SXWvL)etWI
zJNQNmNU<f)+i$C(Jy$nd<kGcJpZcf4t!<s1zH!d03TPl3VevTJJ1vA0ukF(E(g)x4
zrU>-_JknGspvd0WLJLRv+P6jwA;q<NE&4tIedw+5rSNK@t_~LCwi8tF<2kMCYeGbH
zyxH^3k`#0(y7;`&_>Qk>*=L2_A)>K|Y+4NO$>`ZbE75H>8ZdioyxAxxBDpe&H}OIw
zq$sA&c8S#llFaJ_>~o1o;b3RsEeakf>fifK`fdV&yD#WUdlJ!l=GIVkw<=PO;+9Ac
zF$Jri0>0zF2&kr6NaoajMbt`rnlaO73h$>?vFsu|>RCPJ!&57Ru6QL|#j)=N)7WqC
zuE=VjF7rzVm0pV?zu@A-UW|JoM$7QeBS$qP@M7PAg_pd@OZS22p>|UcjIV6@<*bSp
z_=UuAQjAC`NatnS1yjiKKK3(qk1`T;|1>kOZvsnDsLdQ?Hih4l8U8$cipZ3kX;JEA
zA61?3eO7FTLwYir!%h#&Ax87B6Tdx{seukJtT|_B(CkoQAMi>B4Q1fJjj8N-BBzso
zmlF+ICpZ->_e!Gw0RRC1{|uLRJk@U$$L(wHz2~(q?!B%(zQ-t)Ldi;stn8BAuSiRZ
zDD4tSrIe%)@_j<Gk`anBv$FT*=g;S_=RD_mo%4Qw&Yswk3}+|6LYRvSvBC^u9MbB1
z_KKk?ro9xpTkKH4Aw9WE(+r+^uBDPvgwUC+0o^MsTyXc?f7V`)0h+^XGV6u;(WMl*
zvXQ&oAagn)>Vq(VBjdY<v(;QkUtm7GAeIMuz3;uguZn?2V4%R?F#;-8FV=A%<^hA<
zv_n_5O@VIeYX8&w45)?ux0}TR55)a@Q`E7?1YBh`tvv6o;eJ+jEbKKrP<-dMT}7}l
zlnH)Z>YAIy6<JCyMnv&|gQ#@2XSxyCRJ)cw@f^a{V<vlP;ykddeZ!^pry+2_q31zs
zO?d11imKOT+@P`EIl(4n2$JrM1u~g9mPHH@s|(<U0OM!{JAVTR`|qyMvR*e9lz6Qy
zgUk&j3U1GOaeWxa+lTt(M=^)WkvL9%ZYa!uuqYv=50AX%hh#)&uqcl%d37OfxYLlu
ze)gOmNct2s719>4DSx8!R}*d^i)j@+9M^@(S9ZTYE-zz$n&w3FlDVPS;#Qc_5nad`
z@hOT5TgNyvX|LAVctCZdWOrAa4j9gU-N93|g>lD@2;1cIK!f|!J8AYhz?s8NukT9_
zJCCOhu9)+JAMb}~gAN*m)EHkY8DN0Ma%qXgDqaXXxFe>*odyAY5)-SAOmOLlMCyPW
zAAFMtDc76UhO^_62STcu!I7x;FO7#E(xy*6eS1+GM%Oqy74-;k>5*HIZYMtsw{kbx
z%W1=#XzH)}*Q_wX_FOc$TmXchaHTs{QX#?5C#q7D9d2)i2+ouV!hX{8C5AvMgxfKg
zDVB49Ye3!O_;w-a^6@_NMuG~K{xP)Lqg;^GFBvk;Ap%#wT%@aRp}_U^G65$M9yn{Z
z;lg=D6r=^au)0(V1TXz4lMUmAjTeHVS>MFK+K#^SfC~jU3di0J`SZd2j^Vc<t`b0b
ze%*stjRI~L_`MTO@`GWtoeBr56r6W)ifUw{K%3-C+sG>daFO_5S4XQfe5&Va2>(Zh
zw;SXb!h1pZAyKk&>ZmLf95{lwev`pmqEEwbRtStGm{mf&<Y1}kQ|zZsGPp4>FlX!#
zfuBl`^1PztVa7{Ls9~547t)33Bj1R^-WBGG)AtqN)Mk$0<L!HMt!GS6YKX&XL-vJZ
zwTf`N=B;57l>!af4hlsT5}@ooEkb1^!sF9lcDy`A0fS#J3b%r!AoW9zr`--^$SJPW
z7OSPe&fY4!2u&HNdC|XacTEL2`}yZGX;hH%6ppkxCkswgPV0_VRoLrhdbhra3a2G=
z7=^>+KsfoJ;2B|cNEE5G8n@SmWwX@$<sf<J_FhJx_mN=Id9M>II}LP{ssw)qD!_S}
zj3z>;224-oRle+`funCl0Yk7NL=|3}c^0Dy4-9Uy7k|-#{cex$s0Ay**LzmUVn?)~
zD)?r#Nu4fKIpn`S=0}9d{&7Yk8yTXFlejE~^q@|cvqH&L8Q2T>e<kcB133E~d@O7L
zH#y_${Y+JWHz2U-=rJ;Ajo7O9I2wZ5wW^ZOT&i%RbmsXfXEHFWJlQhMG=e@=ncvBk
zs^FQF)|RS723_oIdgY`stVOH~n;lXEo39>91J|{n(4k~JT+bAA_6u`oHK>6=<J%(w
zv6>*Xkh4+|ib2q*#S7AQU#xvXGE*cqz)WDQX2Tj_@miwmL2Y%Qj~&&*PN;)pK=sI}
z?*L|gBUbHl>L6C+U0i-q6`oZ(RcnG7SZgQk9O+eqXOBdfivyHFRbjRC*aI^VW!q6}
ze^L$n8S^^YsY+1PBE)OjV+K0ULQ_w+se-^?b=%Z&dAJdUU!~(Phc^S_`w4uika$Xn
zemF-Kbn6@MFG-ujh798&4pkMHA`v3b&r1U1$SF||Nplzq_bhQxP=;oP>pIjnQ8;Zw
z8#H7#hijvHQ&ucQxFOAA)xjnN-F9>z3BS!CbWdn_*iS`hxWGu3&ESKgvmRTiS!U3!
zb3ofBLjeT)xjxxpT+k*yr}h5GcAer|CkH*{fu<sV^Pmtb)K6T>Rp&K>xTn~q4=UU9
zAb$Pn#3x4R`}5;WR0)6_6RC(WECUy!cRk_Nqyta<&{XYF0DcwGBk3tppkIgHndGiw
zmG%_xMS6fQbvK3X9h88$EM4ELR*TrgqGRKdB?e<zq{TmaVsLcPu2+~ahiSQ;-ph5-
z6x37IKTnv5Kw)q(2V>PVMjgX97rvN)f3YMVr=Jj{ttpqBe>aJ3cnU7jvzdT25_JeH
z5diUhZEZojC$Q`L*^6XsjbUlO$k0(LKXmq6S|XkatinOz^2}W$ShZwHj&I@x$-S?2
z&6_4Lt9vm#y+ej@p!Ry~SLJPPh0S%|a+|`WW|Lc04Gh8V$@qffA}6q}OKC0EOk=G#
ztRGEXH-Oh#7wf{<IN*driajXLV$J!za;9VY!1C&aK%yHP1U{^FiT*T)rKoN060+8Z
zz<+bYKPCyl?iHkB9lwBuz7@S3l&1$(k%H_=A6a1HNFaM(@Di3LAzWxAst0CsmzL>D
zn1Sz9W&F*vD;V#nOZ};f+jDoJ+C6ui3A{dgF+O;+hUvMll&~-9z}$%G{4N_Ns5@WS
zQ@62!`Qk}6OMyCYMr`GJXBQ(JugE;3rb`D$Wl2#w!!(E<IeN3`1|!%968P%R(8JLy
z)SVUHG*F%pQ%gR<2o?&q)(h<nz-P#2kvXCb3z8&l-&2fmkBal{uwa71`kOC0L$txQ
zV#MM3Jw~vZE(!Qh#SEs@ThafmQQ`KTxH9g3M&PKGE>CkK!03H{y$4sRu$kHRqsW>G
z%3S@tPV=$>{i%_n1F}>IjlOkEsGSMInI6kq_Oe6t=L-s7KT=>I=$hDc95cxFO#WqV
z;)DuIP6eVf1yb@3{Po<+0=@2rhTH?(@L4C@;>8*nx*9Kz{?;de>)A&OLCL%jp`3B&
z##1s>mgw0DTCoCuUw7;^#0NXv4&2wbCxd-n!aL3=Hjv;sUs%f~0BUBh4{s945GOYv
z&i#!YG@l>(A{HnJS|5*Xez>Fs?;{T%%(UVJ@tlSyk)uLTgcU9oa%cft$Wurh<%06t
zCj)<<7lEy@#Ix2Jn(%~&?HhW}18#LD-?dG|z;?D=XnBVw_{mMuzi;D(msn%gUJ(iS
z8uM4-+@=O_47XeN4fDZZqVAU}0V!xc|2}xOUISjV8u0P+3qZWy9Ltop3~;#8;-9_M
z0LM{x;SdKwh-A}cb19RBsLFxZeR&#?_T6qlpg;(oU!D%tnvnzJ-AuP;>olPJw0PN;
zx(Jkwa{MvXSAfk^gM=*>O(2`ovgkjHLgi+?Qca2?NXI?(Gw{`f8|+WWnW5s)x}Oy1
zwW0)fMkko?sqJ^k^Qh6ANy1EUdS+LMGQ>5<$}T+Bf)lsC^^~bgLx*Td;KH;Du>DZJ
zRkVW)a<{5}^oVZnyN5<>yQ9>g;=Q`jKr0!l7v-X_ZtodkA<<?|IuZy`%UQ{>6tE(e
zY#g<a2Tp08qvLTJaO(Ky(&XJ#`0%Ron}M$a>~ojeH9n&W8$Eu6(==_^Qc&+ONL7S$
zMYVZU#cdu{eJd{m8a%e;_>uQX3I0j`$>l2}!$4P#rA)96L=Atf;TYNG*BXD(F9QmM
zfZ<z(QeDW){-oN)t^(Or+)|OZDWD{t<NQHU9|~2NuD8pmf^&9UX<r=$9(PVJj%6Fb
zsh#^XnPk<VHu8D)lO_s$m{krR)iVNVfvlGcjOrkHI-EW92?bQ?&OGXGHiiVIl>*T!
zb?_QkX6`noz_NHs(@{TD*kO}&SlNXH?Kcz(2GYq8;zKMdo5kSpQWAS+842=z8XlLY
zX#uBv&*z!90P@R=cXyAH;0ULWOK5@yqy`DSx#wU8&qVhJJ?tXE)oDwn7!`GJ{%|G9
zu-^>W=nEwkZ;;@Jb+fkC6&3i?p8oIm0drt^=S0ilB0<c@t_t1?CD2ni6S(!%9F|wF
z=#clTLz{&fU+tJY#CrECmv@*$rP$WaY7aF~WmP_}BrOa3Sau86jhTa$3>~hpbK6TU
zBwxAzTO4-OboS5&%whJJ%u@=B3hchHUOU(+1kDHO)TBO}Lyjc-p7@tUC=vM}Xky0)
z94=;utgo2E3wSx%V59`^r?pCr?y|#F4U_SA%pCXw<aR_?D8MhD3nMNs8G(^4OyJds
z84THUI9cqJ2huOH&aszk*qXS|%bS<YK&1A7>)JP2uw5Mcsv|OswdED0e3dbSSOK@r
z&*jq4`^qW(W8YtluIj(iwE_UckEXe#O$k^_OGX#CS}+*jL2}s%P`Gyg)jkg~h)e&|
zO$d*`!vBSBaOPvMDdjGwGa(F;E|z?gr)qH5*BgIMbeO_`gQFTTTM*V$PhRP{_yecq
zzy6p=Zwg12(_?-n@<S1o|0`zq3$M2K>^@000f7b=*Rph8u+<qmTeZ6jf7zZU+2Cai
zIY(FTM<FgyeRKu>aCG6%{Q^?Qw{uW)w@&Ts19oVu@-!O|{e}BS#l9KuHiR$MW0CX?
z1mJ%YzIf<Q8$LE){|;9)goQK=pS5O&@4J&He&sjgpWhVgo1HKKnfj7Lw}cr%fhIK(
zQBsSyhdbqBpY>tBipwyPNDo8#?~9(fmgCD}C*seG=)?VMgAtnJo7mZ~2TnP=GH{-U
z_+o3Q9*BDhS&7iCW8?VUJDq;7vAr`ft1B(KkoEJ-u*o*J)Q4W&P9Lwpf@oj6KI`d%
zYcsQF?cpWt_1V7P+6j%AJx!c<Jwpdvzbq(Rzp;SnCoV5GakpV93^^yxaO;5as_bh;
zk$Fr7-HIq_?Ziq&8RTW+Xdtd)x;oN7i+OokRtWFu#dOv(ZORw4fh0Q+O_-X&MpOl&
z-PHy#>!ZfsjkY;;l6G-Ngw71+f9rPWe(oXcj?BO2)8kZlJo;&V`t3BvxxuKExH^JW
z2NoxK2T{S_=7;Lc;c1MUp!4e7{1~<#kUG~tLxF@N$I7#HrZN8n+r#b*Q`n3BY3aSu
z6iA!6V>PNbjeS%~><tx~!R9`}!+p#YsQr<0PTyl1bKd_-Ft=nDliar%E|EqCr$?1M
zIeF8VZr-|PdDuJ_OR_XEC6b|RY3XmT+zj^n^CoZIwlDFpUOVa%sRcad1<Bk+GuRsf
zw>Cw88C&fe>PIg$LH75rr2gPp>|}D7^!+`n7=M#TX>P9u*a+uzT-iN`$tE4@T|B>z
z&3)+^kdo1WAN41bbFAjEKC=>uq|r@G<eWo}lotucKTI#V`Y&KHR_J{!qJvb%#Fg?q
zb@)S+%F`@Z#9~5Mf2*r70Czygx(tIl^oPr^$}28o61VMWY<b)Kr+Y*QbX5ZbW#!vB
z_zG5H`lv0<nHfaX+h+fis={FYfzsCrYuGu{>(MDHgl!+Rovct$1;5B8x#ai_OfHtL
zhoHa)ca?qn&)igjOY^>Siuqd@kMrqU4tqI3qUB-CRSp%<X#BIwo0A^WM(92gbGV>!
zlDc^5nlkwRceIjplmTQ){V$lx@Pf0&sU9s6Wq47gCws4z5f)>rc6B81fp6F0Zzpnz
z;JYiG^>H9G=nMatCJPDxM)q*<-A4p+ZPt+}4Fde=xL9ajB?zMBSqFmFlpty}tvO4K
z4f3BIC&@k(hQQNqPZf%l07ah5?5A;n_3}D(B3%?r?jJvW_M#G8Z{@DkKF<Zen@b4|
z-^F3qMu>5%w-Pu{D&=}J@xu3rXLl<pQh+`8|2^!g1a$Y}(-^$@puK2c=Yy{@V97x5
z&lsQt-InUQF9!Lchri{0`))bFVj@(wZY#mqaIo){1VM1ReJH1?ULKszvuZm1Rf3&T
zDWb?$7+MqP5VyY~WIiXh={pl)yl+5|Y9b0TKZj&B6p6rezwhL=Wg-l{OkEE=AP#=(
zH~Slxl|kvd{r$yyWr%7BD~wE$gb_QYntg++;Mim_QvXW@q}}H7?<`5fLNe*V;X!qf
z{pNjoT6O#1-6P#DRLX)8HvHz{?6$A?;J@#0b51SZ=90a%Jfs?V?-XMo!^43WY18={
z@cZz)=$(lQklJ`USc5<T&i_2ZLRYlF{lT{xdnP3ivy;2RMNfsRe=}w7+EGCLJEILT
zfe7yuYNJwys1VluS=GIr3S6w~j$=G3@Fd>j`bw@g?EiSUjxL!7mlt&JP}5YQ5C!b9
z-bDk#kFD$7VY+aiQ1f<>LmfV33rh~ZqCuZ{%8<%MePHXizTq240`c43*TU;*@WDP)
z(BXq2oSCY5F_fbL&teQTjULiKt?bOe@RBi1YSK-N7HLAdcvV%DFb!_+^40!mghB6Q
ziMD8>7BpgSGKO`v;r1!>nd5~3KP$OU-)1L6KuKUg_Z9^-G+&R+mzY7b&_!N46*BDW
zP7C@IO@?NlcQk6IIb7s2$TJZq1F_CtFTqCx7{_Q2F?S1inMK}XkF-E<!1<KvSygxv
z;pCS+V*y@6HWnTWny^=<&+dee5|{|8iZUFq1fp1ITjDPbh?F3&pR<;Ow{PxTwm4@A
zhq%WF3?fJ{5ce$8DpwqO!GzsA-V&fxO!jPt8o2OA3SY7n0HI4Wbv1`9A)dke$|k!i
zFczHTuJ>SrEBVTwocJt3=zQ0aL1|_1wo;1KE?C2ObQ7oUzP5l954&IelT`xny;M^l
z(2HR=q_2+XTEN6vRk>SI3PAT+BSlA|2Var>C_hwS4)p#TeI+t-P<ST0AtP=cA0HMA
zlT|Z^?yVt(ICp8t{h>B_!)_CQr7fMf^vDd>f@z2Nx9fg4@K*9xBLh;&J*xkl-wgcq
z>im^SBH&zOdSup@85ud4MEEBHc$e<dwjCCL(zMRjc_IOom!=uLWC2j<`(mQr#|zXo
zdX-uOR<!!#w#{MQZSShx={>B&38?K82-UJ8otBEhRB2N<bv4XpTA2Vgb_Yf?msrtu
z>NvlqX99B0izTXQ43N1W6TaNfirPJr77Y&@!!dKciDM({SdFCSVpb+A3f9it`7zN5
z=uRf=35Z+3P8`l3G}^_Ag#3MOf2lBpq4BCmTc0K{Qfhln`XB)r8!Ug#VKjuDL3}5Y
z2KunD@)^&Div(nEtm0d=*8sxS8x{B|->`$~QKg(z0y0&ZVX%Fq55<~a=0&~p@o(n2
z&fzmG$YXHx!@#^AL_PCLNpon!^RK_kJW|VojG0_?)(_}G+<ad<*{&ZCX$;%*^%DyU
zPOo&Q7U{y%kZU*p8IR%&Y~Q3_G_xS4Odb}hoGx^SaTqKoPvK7Au9h1R2q;%u&$cK<
z2ZlJ))TQ%h@yQgNs_9NZoo2X767#lie}8_}{P+TXZNJn)&mRJ6t1bC{HI@dGrfCmb
zmY49RM=P>X=eGNB+49MqO>Kyq`qxz-w2J#=)k<>hWkXHh|6v*N+VI__#?Ya89Vg$Y
znJ+PAM-scdw;pq712s_payw}YPoQOb7arn36_tS{5AIPxY}3{&p^6R(SPlBPW^y8>
zuK39(Br06izv?KlM32@>-?Zxqa-+1(4RTWz1rj@p)EKCYXa^ytg#QB%lGK!6*nNxw
zOAWN;e^E@xR#0AZxq=tfpP$RJ*yj5lDGA3T-<i?Zg?n$VRPiC5*5fQ&ugReAlv`7y
zPe41UMfPWU`H?}3Cu8GbGU#<)nusrEMXlG?Ry9NgQN#<L0zrN<oT%SL`njJS9nUo~
z;0h8#)gN6`?>y83hs)K^IaoPSxRZ(F!(L(3A}aipMNtcAlTK2u-CSrqv@HBsm?(0R
z%Sov()r8ys#;vzHc+jJ~3wwH0#nI)qfTjp<P2kI@%NJbdMW=lg5~CR;(V<5^|8>c0
z!u1^C6PvR9=)Is4<@lBqvOc~qS$I(cToalvn;#ZHJP+k7>Ud?5|KGa5xB4{TV_;_9
zfjmLvVl8L)i6)1FX|iF`BO2gQXi{)aLKsmw3(3&|@+cG&uWRDe1P`P1iup_t)Oq5$
z*}3-$$n=3;v6{UmOoc55q*#cd$+{W7Z`?{~vAp*>6RrtMNo-lYbP}l2*RJSE6cJTr
zN)KK>s0Fdv;rrHpNus!y0_g!$%IH?YYBo0~87gMqZys)xM$E@N5-x_QqS9S8%*vO^
z;Pp3h@o2Ctia69K#XqlxvS-tE>!m2Ldqk->;+!0kTQp~=jUb_$Z~33{w@^T|zPqP7
zT^=pcGQ3)*G>}7R=xRka6-=yj*;XnQ(2GM(hVLA-P{p)Wy4ZbfC@vaRnV(QZaYHdX
zpWBep(HUif#5@{=3GlwJ6(yowekh3h4;eXKc3Te{)PaqBKjT-JGAdP@b1}1}pigvj
z^qmHJFj8T*Hhx$I^+?ZT8>CZ^vbfwO{v3U{)h%i+?yrhQV};g<l@t_I5yJ3LW83q?
z{u7dQS3`YuE3ejyC@AE6>2*eA1bdcJ(^B-*(X^6vE@u=4^=uYP&^ehvS>UnB%@K8!
z2$v%Y=qTtqarjO3uqpU_pyh-Fk<iNIaL%v&WOOz*9&EG$CiYE7{wOCQ@wgv+&wp#8
ztuU|r?*jl5)3NB%PZA1J-<a<&A|Vs**8)Fd%|Q3+pL6-!XN=RxDSW3IvIySamB(NX
zHe|Mh2d*UaPj<TQ=_6$n)TAl?=eRk99#Gs_{Y4#hPBgabv?(IW)a6sYZ_Pnz-}~mS
z6*aWuzm{V`%<>3cgyc^BGzVqyqYvItMMWMyuEvSdDCACF)!pq}Da<7D?Rtj_k`Ucf
z%x@=#WI1O~)V7#I*itmNQ;ITLIeGZu<<o-5ttTzGHOCwX@8jP(l8MOVu}Qj*JTD>u
zSwN=0m-qZj3Ea+=GG!XFND=K<pV#(&!iskERBo`yn1eLAp}fON0f_{^q0<s&Kuu?R
z6-2+7fn@ZNwZ29<#GcV|>%Q3vzR?`vz4w?I{BdrUdhIHUe3a&mbX=zKOBGXVc`E>d
zjcY9`!%}Eng83{ltslS9FjDa)2_W%n<+TDG36$n_UsHOu5!W!3?M{#dpbw|byXS}^
zSryZ_uZXeOlikB?Gd>tJ{5kgD^PR#-s*QO^y2V#4cl7L+1J_N##w~wp7q1{vI({Qk
zpt1$apgo<+FEs)9Y~Y<n;74~_ML87H+p+&vcQVpX7(?)Q>BI{XFUn|}zggMYfq7K%
z_S7pFL&m`uvwj<#2-A)dDP`-xT9CZ^L3bkvY%^Iqy3B_1DTwHj{R8Vili-^3#1L#7
zH<ZM8ZgW(yqO_mC89UN@*QWTN0Teol>NfN-p*`URg~GdQv41R;k%#mRK*(<|39Dv6
zNrqoEvx3X9la@kiN3QCF;Q29oj!8O16HgG2amvKF=>yf12K0cNC{DZfd=od+UcO;(
zl#BNbJnVQ2da%|)e__wxHM~K)y4w@4z^jcov(ujFf?CqJBsF0Lf6L`8@$Xh6?)<Xk
zGJ#DOimHBAf4Z`SS7ocJMwqnW0e@R={63`vm4eO*61@w!{2AAS&Xg`(*0o1wte*xA
z!&h32&d=jZvOTuwMlb$>BmE7xBMpidTNr)?%;BP}ywV4g2k^<|_Zh@*+VE#zHBa=-
zSv=iS!ggQs5Z+z<bwp^FHv9{$8S|f?!QT*lY`@(e#UX6Ew4!=@pZt{ii>}PzlI`$o
zK6f0?I8kIHyqgMiWKP0v+ZjA_%f+s+eF|r?FMhJ#NCAaI3BDK1X7FBzn;wUfW^kfY
zzOR=v1-@Lg8hPY4gEN)-{S<~d{NP8&8Ph>BWaqi?dt}bwPy9bFgcBBUmXR#;xNtHQ
z?_xbn;h4pRSQ7X%hZpe#**#h^Y-F(9U8}}$e-=+n44r2lT*f(vOjXoD3#0}|zS!=Y
z!!^41Ex9nQ;j3+9wx7c^VQkLvh?vqme#`Mf(BnND_?p|~H-@(wP<xl%{I}c!{y8c2
zJL%IFZt-bRcXfsYmvR?&q*yNE^9u2AI?43tgXaU@GD8xS?EB%HoxFr+kBS7SK4w4{
z-*ko^PgDm><>U+oh84U^Ondb!i3y$YB{6FBsX<qERtIzDDn2sJ_t@YMGn&nfcDBOQ
zz~X#N&xPQ1yhpOJ&+<J1(RVm@60%jncqQ2Rd(b8>eCyEt<qvF#mLWrF<5z_gZLMd{
z`{|H^%hSDYhd2<Kfz6$KMFsSEJ>^Ri=+QxOl_Mh7+$iwV$Lx=+DzLzJ+cKhu0ezEs
zY#|iJi{`n_EOc)uL!zl8C(W4&NmAyW9`x~{c=ti;J49uOG!pggUtmU4`GNxfP6(i+
z!L&^JuSD>9y*H|$lz^y@>pUkFg%F?a2j~bRg3U{j`;xEO(0u39XRql*kn*7L%4Z4@
zj_>^y+WL(Hy^O1Ur%w<=tv6pi!?%>+RS=_fjT|@XdgRl3*GK}LZ{i!#>QjP9ORn9?
zj=X5y>u1~h3@P+K00030{|uLhBh_sb$L&3`h3t8`*S*)Z$M3jS1C<m-Qb`KQ7Am`C
zCm}+~P7#@Pp9V!}SjotaNcMP<*B@}sdA`qco^w9m{qu!{(eDbNd1XPIqmB<fwX9#h
zCn1f9QWb5u-wMDMUn~%2D1dk**Lsp7Wl-Qzd&enJMR+KhHo-e8h!B6f6eEiqQmXlB
z@#umgsQ>6ssV@~qQ9o28g!AOlySFTDF~f?Ws+~hUkSU68*;IJzom51(<87W@jZuOx
zibM<L7h=e7HYluLT^TtU+m6bdQid-~qfPh)3G~@+-C_4`94hTg-LCLaffM)7AMrdc
zh4L&+1e^ucklOpQy19=ykQLc9U0jq#E8f$koZ<xZ<Y1F_?*%nLO6nbHR<bC9-k@WX
zkBHb$inhW@0?0o-ax$S>4oN*tyOzR7LPxtTmL-l7VO~sSKA)g~_J2D$Qp-d}>D1mW
z*%A^ge%ms1DN{rmmY;QuM#$*zg)b$FWDN*byTRK@R7Nb%iK>Cw8VH6jAAT`Kfo?^n
zluKnQNMHO?cRG=RmR`P2ecP@DAFAXY2}!CV;jG%|Q@1F{hE8)qqE81#m2O(=`KzJw
z>OVXiSrjBU`|aH*lRgYfm`+m)@o2!OH1?Pa1r>Qzt9u$5Lgi}yL{~8Z-4WwX3hB~7
zIqmav=>ZsU`HGyxd#fW|6)DlVSu)B<nhY3f1&}qVG7XtiN4M6WC7~B2^y7-iy|iXy
zc)sxJvG6V;@>)4z_D79~>f+qgk_)J?N6ILn@jrDWskiqF*EcnkR}fx((a8k<;^%OY
z*VNImsYS=WWo6{6z+|90X#$;}t*1+#5>T)VM|<aAd1PY5Win!H3ieO$FPx9ZBP$J7
zz3$)Ah!9*6+vaWx>_mze1*e8Ij6FHx#l;YZUPUJF1yc~m|EXe$!=Y==htR`0e)R3c
z!Xg`H3T~Q-o@VcrkpbnI?;l2X<T&lfa(&4JI;^P6v;jrbWU>*{n!iD7IbhiLI?)88
zKORYJoRCL?2O?kXi5{kPS`_RZ65Bcda!HH#v@FU`nGO#8^#h~*ef7>LoeFOm9S>@)
zNF#UYbQ2Y>MNH3m-xW1JDk!jZj2cNvqP0UNe?#wVVh_@)oWI8y!`{k4&AXvuXi0@|
z`gI#UBul;ha(oNG=6RFrGPejaS5BEzI?M#(GI!`Z0stVE_t2AG0d)Isc>7N}7Qp9^
zFc?f>@U&%Yo_BN?Qu<Kt62Z<2mz+58E3-y$s1#R{eT)l<mL6+8n#>C0G544Qwhe($
zI)BRMEGv2t<X^DfzzWm3+cWRQ4B?b^Roe0|29*2lg+=lcR-h|d_;m*ip!(TS*6@Zc
z8i$Q{j{aFzczx)ey5VJgSb&V{d{<X!p#@Kzve{UHkM#EesYnlW-djs1(aq7s?|fRk
zm&XF;H!@B%{MLn3D-Q+vi(|CQPovu3QCVQEkI7n_q6>8sZK@AtI%(_sMl*0T%<x@E
zSB4{62Z*OiG`f^BX#ESj-xL=xgP`F|_0xWBxJejm)fs5R(steC@(X4LPZ2tJs;3Qe
z*B_4l>lnaNO2QV;xiP~>if6}@hg!fCow+EMKaO!R?)m8K#|+*LaKwyF3tmT>whexq
z##Rd6`Q6H42F{<%vwH(I!6QxkK>f=(teoj~X!tBML{?Wl2$`n9kemOFh+~V`yFtxg
zDW_N<c=J(1r3(e{!)phfJ}+axUnpe#Tw;L_@g~dNBN~uy{ZN@+Z4Eo%6@SP587t6V
zTtD*poCf%E-|9IK@E_K=EK<KWkqz7$NKGk!$Z++N`6ZX?O-whq(KaWI9Zsr_4k!ha
z;gaZoN7`5aVLB9Nmv_w^aKb%mBAJs6h0XB>Z?fs2<;>+xO$9EveICE}cP<GyHN#^V
zKhcBCX0v8>DL2FkN$6M^lE67jN7RI#5m;jc9n8=0Lfc&L%ZULZWE5Fv&YLj-cbfSN
z{=8if`__G6Hj)UrLbv$NXEFm{l&-7Cb3Uk*VGS)+Cqm)4tJiN<R`4$VLrCu7hcO8z
z@!7ZP;B)R6Q|%o#`18)?5`(xPm^wUU_R&xWw$9JCT&f%p^B?0^n@}NWKehYYSUCZd
z)<0=VPH{p9yKKGkmN1mMh<62I1Xxm6{)B7hhO0f_8VK2<aHS~2I%NP4`)VvVyxMu8
zN~-+`i;Ea6`=75GiNgae*>OVf-!9l{e<!MGB>^vQ;{9!G@Ng@iC#(_24+=dZ2e=$1
z;dFIuuM8d!nV+I>eZM3CgkXnv@Apc>qheG&E{z8Zul{4rp9EnziN8oBPzKg@rHF|{
zJOm$iDqf@tL;Te)!QVBqus7yZs{biGxQKS$itG{r|2=JIUvSF<zhySjx*QKr6BAE4
zN9_hfhKW;0{1o5_PdS?gj<D0e6*c^a#KGKLGh_0%B3Kp>qVBd6K;-%mN1o0e;LTCB
z%DtovK6<2I(vQ`Fe6v9@$WRI{-u+Mg=7tKGT(eL=c8mxwLh2}qWzxVYA^7iLtSb1j
zT$oy4B|_lwvFel-84#A3wU8CVgY~aBW2H4D;GGb=xiBXS0$QZ=L74>b2v5qRW{}~*
z(#zr9Qu3hkz4u=v6A^xh{-!KtX#jI?FQMqL0x-AmdHgCOLfzNvPetBSz}^1OmE%#0
zaPpi{?-OkjWM8q+`^>2YT#;w`mdcf&YD+miD4zsyD4zV%M;qAHF3~%7Dg#IEXvXX;
z2`seI5>uCSAm;2pk(@CVNav2bKg~`C@5QsPDR=aMoXQca*@pw>qhbQ)^CXa0v)MK#
z7=Xr50YCM*D!2*ugaqc0pq8${Ji5aW9y}`<Vscai{rnZheL^HKR7lD*^TME!vUTD}
zj~Yby)9ai$M1=Ue^z@;@0Ic_~UXhZ(gYD#?E~$h7sria~`PGb}KDqnbngSli!nFy#
zc52`sdV8g^$ryB7-x32CcJi$K$uh4~fs?CS=NrtZ&~@@b&9!hfXv4RB;MsY{SNMyx
zzfY*(Wa;W|)1?YlN$0!2(aFP@)hmZL<5cMFch~Y>z`>C465lRS8IX?ZEwX1efddv-
z&8R<B;5%;eFg{)avLE>?U1Tu<-OA5}nU9qrsG?S8gen4+4nG!uO;cg`w)mXhUL`P!
zt2g-S&JV7`)ZhoTRA{<+>xf#n0@!sr3cu6gg6aeh%Q{~wSTnwRW^+s)j<bJtO=w_(
z2!pZYXh|x3>u3;L`yvZJhP)12eA>j$-bz>f_sSS-zUSNxw~_%T55L-6n+5Ef=i!|4
zqsGvTg)?8zlY;5|6qd-gQEZ>7fpqpHfN<%7!xbMT;76Azek{EO6BdwiBVGXrp|4(l
zz$*r9B6gKV3U#!2n>it4b^x(J@pC-aMc_oRGt2GnPTGALzNV8D3>1G4r~DEV0^*t7
z6MEr;v@ugNo&MuSFd#qh-gcZHrWn{>IjfJ*)OiG24WkS}A^iE~?w`9L{I2gu-2GA7
zK_?Q9T4?|-m8TCs=j8$U3xRZ=pGIl+`Cjk$|JH{k_aW!Z1`enc51O+V7^VHPddVB8
zs1Jn&kJuF7u);%oUn$?>VOkQy#fNondhqu6r=SE;X1L3kq#+RblUB8W>i#^}g_^k&
zc9E|bfHUuJXU+BxT4%+@)4l(6KrLP^?RYUAq$T`&T*B5(Bb|u6joIkH$?CqA%!)0n
zKi`NisO<}FYb@pAP_Z`9ldQv!-}(=e=I*&|Fxo_`Ig`_UjZGU2o^6u{+E%fb#lB@u
zdNnlulw#STi(0VpO<1JRe;K3O&3>7#GKMyHV1)PcS53GY?^Qezu!xP<SS4-fRbZMi
zGVJ1pn(%hAdN}&yJl5T6{-MU_9X9NLK_jh{0+<YosL`1@Os8U|<Y{snrrRzlC?!pS
z)4NT}@mFTCRo#Rs+?x(;|5TM!?0pTGuu;iu$(_Mki<!Guo_xn@K6shZ_%%S_)Q$W&
z@-!wIx@UXz+5jeSd?oZj5*hISiM=Ap{KkTNwWsWH!&qg&5pNbjGW_CAi5_&B!uTcG
z<I2)TvA?(Xs!XPnKtPdakHE?##<I)#)nDETOyk)67n~dk?%4ZVCbmyv?V_8-^r@5B
zejdMsx@SaS=S`3^nVQ5TMZ8_)Nz+&rW&2VzwzH?aBcBneQ&^O~@70-Kf3VAbQN=5H
z>hLyC^YGd3DU3UA#V*%*4qIT27LoW$fX38`T|XZG#!TC%4Jjk@82#(qXJ;4*@QKDt
z2rin&4m_O=2@74s%Bnw@zSPHqylWjl<F6S^!>99Jyv8#2LGjFK)?hWzdX`LMIys9m
z98P`tgmV>}N#Ghh@LCm4pVo5pV41_>Mc9jN+1IgVN9~;JY^t!<ak1KZa}En(`nVKA
z+Q5=Fnr}R@$H8c!)vgS_1#C~!$x-`TTUgwl`*%N<slaJjhB)cHi`eJComG1|>42jp
z)O?FW1%$qi$cj8#!gRVq9do?s!Qs5!@w1-FkmGiARYZ0LyE<CFn_-y&<PRo&RO(iO
z%(k2l3ZGUnWheVHOxa9ee_#CI4KpR^d-58d=d5EDx9u5Yy;(rFi_PV0y&|~1?ov+A
z-@r;`Reir*W`lvw-VS$NMF5!wlHTwZ)=u|0);*U4SVJ56dtNKR;GXJ-RX95MtdmRK
z&&Ca9ZSOC<uv7r^e=l52qv%24?d6Jh#k}y<saF2Os66~vr^9VX#|ST%JccbS_`pR`
zcZNAy9xRO-tow4Az~DxJ*l0gLeA`<elunWdX;r(SJdYjTy6<$%JzWq!o!@Gk{w)Vg
zb$)UeUD#j~^ZjWMCJg1b`*1HR<Y1FQY}ho8112U<>bItdg1{i_*X`SKz**w0mom)-
zmkKAN@BR>jw^u`|4g|<Sk>f!AQY0@NH~M3_YP$zUYU$Zy1Lc5XiHy_nd~iz7StXHC
z8r}$Z95PLogT?eu1!DF5kU%Jn9=#$1M=Q@=&S;T?G&j`;a~^{5-*U;F03JDbSKt_V
zQ9&MV9mKZ%&4hvZin=L!BM$<*{EO`i<$*OTdHIXEC|J=(OnmMt!p0Gnse$7Ppcd|K
z{mDlRLdcB8_y}d_3?1k^V5|tQM|}Dpwn#v@0-cxA9ULs|H<f$isssv0K4!nLmI8NX
zPVt5!HAvDh5@+pDhJ*}V5v6TuVCJ{YSnehO=_Ts3O4x~e&p46lE(_)BhFsB6MDVjT
zDXPy?gXRwM$GDw)wNQH-czNf4s^jFQ-ioWkW5V;;>L3N+Rd{rvH<t{~WqGO@TSO3M
zR~*^Prv$a-t-rnRY5?z_wV0^KWZ<9#J^Aod8Ol`r+@;P?Aa#0}F5o%^c)q+S8Z*Pe
z`T50=Q*@dz6U(?@9j^rpP2&T8pH)GT^sb)OSrgXgB=MAH9eBXC<dtrOhq+ThQSQE)
zP>^i4y(X^@wK?Qt3NZxeG!8g9NYI3@xQ_jQk_;iV&E)UiG<EPEt}pkzO#vZO>GP(W
z81#&MFGLzdAc^(vjg8cRH<OYjnTp1c{P%KkzweHYT+_|Nl4O{Ze61IxMFoRj|GqTb
zAi{vZgxcIWA}nhT#Cyw{>~OWip->MZ$h;Rhrtw`3IL7REX%Cw~d#Sm#hYS(gmGXQl
z;+5gEWenxIhbep^*B$pfqz(^M-f(Ej$b(Uqy3g}Brr`K9b0dhI02EG_+i~GiU^cy^
zzdCFRKeI^U9#_<WsmI7yizEVhkM`NMel>*&u84zHWjL@*Y<*s(!V6=M+uZrmOu>$n
zK76HG88XfsDcGu@2g_&Y2e%AN!Fy)j!aGk9Y^8~A<z<uD_@Jh|aI*;n$x1hUjg*J)
z*$FAP@O`wj#`rNiQxmYuBGx@PBMW|=&RKk<6`EM{U`<&S6<B&$!qEX~$mf=R7B5PV
zHVV8~pUYC=u@GbN?*s`r(HG3xm&uGI6$tNB6O19JC6+y~UKDtku(xl9*ieA-psW2h
zz?w`}s+gP*1dlj8FP7v)erH~l4*LQa6;`)kt$e`A7v<j=%Y}ql1c_<=7$lFc+SK`Q
zLpCG-wvhujs(cl{rZ#8<25Sx4B3-O-wRzAz@dY<}?3p=PG-C+l2VHyQ8yFy5oR)mE
zh8q=gQ&P)V4dGZKYh1X=Cbk!6pZ7k78*Sgr8osl`ldSwVBL+4Wv2*X`Y)@-)BZrK_
zeV)$x5c}WH@jrW}u#j$9UDVBm>ROcA{WA4-e87~1US1Dok%Ch{aD@vAzEDeO9o7Z9
zEpyA<eJ->lkNhANWiF)beRkuyx-RIRoj!d&q>E<H6!B+hniHu>p6K`A@v}|3{bM%|
zkI}?bQf~~ma3ZruwQM&>wBbi0H6n3&hW0SsbY!EM6B*v{<nlDvhO+I;Rv%m!XooJi
zy1k#_M3jS?m2aMFftW;0T+G%ojpljm%(x~OD!KY%kB*EM*chl29$T-|?5yUL&lGSW
z7;~w-cV83kDl5CCxNXv0y_j;_s5^Q~q8-WwG(iG9{a)H{)6V2gPx`a-p!)kdQ{ML|
z5K$R2`&5V?Mf9=%jM?NtGGQXjZ4wlS|9}sk_h&$YsSG~JJiCz2eMax5A`Q4l`|;iN
z8zU-T=?I0FyU;IuSc8{=1_)*|oBdH|MxTmZ6BqsYQ1b5UrzShekn&~dF3(*SbTsmI
z`&ny#lw>5N<K#;Q%R&iGPC7P3@7>aP5(H4Zu(B(UC>dTyWLu8~vm;+xLD*YML8K`u
z7H0mA1Q#FV@SbPoL^lPejz#+kp?-Hv+|{21Yfq7?MiCdPN=`jfP$P_tt2c6o2qZ|j
z_H*jZSstYRbkmV2CW>4q&Uj&SMBw#g_($2Z3)%Uq-<HqVjdsxz<>l*k{8WIbH&K)i
z5k#W&19ipGTTdy)193#aasJ74l;=k>4?}F%*Cfzc&N!v`i$ow(xM~R|0!TK$U(Tdg
z63yQ+dpKc3gt6y}a*P3jh*4?jyrri!VjRsG_p%_u;5AbP;nzaw>j=rh<(dqdHLCdF
zwr^*STzoKeMM4C*f8SaS%a%odE1xk^P7om|rE!5RSrqw2ZvXi9Sq`}?4DPcFA%fm(
z8;_$>V#tmyhKZF&0gcJCYzLMRp;wOn)!p~v=v$0jqmsQMq6*f}*)9_ym6UxvJbVu#
zXNR8%E>S{DHI<w7he;6U7qQ#os1zDjkkNHuQb7i!?S$Y)5^S>X>rl;>Mg~IsN5!3R
z$nz{)pM?z>Ub=AjC}hc?wn;ALkqTABL+yE4uug_0g`+Edk7SYahYJyD8)~Q&CzR6I
zu)~e#4J6pg<j}ke7Ba3*Ko(M;u32PKpjl~uE3IB0v7|ek1#@-eK;m~6OVfmaNtnO*
zQ2{NSRzAfqMnoYGr}g!oX~CMxadGrn5$%qc3(yKAqKp@8iXlI>VO(-TueDVPvHF~R
zGgC=Kb?d~=;|jV!u>bOutxg$n-q1-HX(J-z3+=i6A$s6NSF06~q=J|N*56%wMMNeK
z%!lLq^#Sbl`1q}GC}*qUk$o5ueK|&7myH<$>!BiC;RFsDUACz&5hS9N4(Cx^rV%t<
zo~(alzoVZXcjWRi0lmzv<t?4WpxJgNT<xJM(qrO||L+1GwZD6>{3#CL@f{A+v=^#q
zsI}$%^+Z)<UjEjaPS_as4+kulrK+Ns&^fjz0V-&aetSvzmNEP;CMisqtD>NPN5=Q#
zl~9i_&HUn+F?2OSPe3CM*|?o=-uFQsbqKk8aw}4ScQIk}kPr@SMsWRQu$M*sRjkH$
zt*FrLx>Yx$r-D2t_x~Lol|p%!WYP*8sBmYmZpgO2GV;C?vVVNPI4bv%R$V(xg|OZ8
z6iF#1wD6nE)vzs$+LCyESIJZmFTBKMKdpdji5n$S!UCuztwJJ|o(hFUp)(x?@~EHw
zyR*3_FN#%gJhO$2!9?}en=1}-s9un%@w_5CVo)-<VB@#ryRGlBKjo4|Rt)vMyXlzF
z!e@p%HzbXL>9Ves_#0_-=~YZnp6@n|?5VG1_!b~+Jo%Nuh9tt?(S6~(wML8gvb<7$
z8bF#_73~}=f#z(ZB>(MRq&2HgS_N)lklVTI-w%B;WKGQQ@n8KzQ!dlU%hkkyi^a~^
zlt&c(u6tck#WYDP5u0rhzhndq=WKq|vk0RmkIMbWS;lDW4YsPc3Jsy8xWjz6k|2UN
z$st*#!?d6C*VOqZ44`IzUV+qQezebz-OB#i5N&Kh_rf(L15lo!%sn68g$_$6Dy_B;
z(e4C`emUT&52rXkC~hwEprK3i)TYj1np*_^#M^2;=vr(yKj+VdA`&yQYm-N5%*>Hr
z8Cmr}hxkuh%ZLMg^j8)d9~q|+BfhAJI_QGF<T=edmTXAz-AU=D{7IV3<*L?|7dp`D
zXJ@0A$%52o?>-1>nx@rZ{O98Mbim(uU};;K8S!c-efy>UmqsXKd;Z>68=g8W>OY!g
zM2t^gRx-NJ)4uO%YK{D%1<P4d0bElI$SmV*0=NAlP2+EycZHc2yvg+bdRCADrAWr*
z-gI21WeIUP=v8S#RO$R_VNZJGx;OiMP~a-fsJf5DrlJX#9{Wd+|D{9Hy<4ipqIFu>
zs~gf>xfFOF7MD1aPKP+>gMW!FZqT{{wl($kP@ueYCOOZI4vlc_jk|02kM^1KO6Bb=
z4XBp$85=)Nhib@rB10Z@sBux>=|33_NI$jBJLyh`2J`+qT>qLLrG>k<-!3MDk%!ZL
z$f84z-p8}<$}u8({eQox+GN;X{k}LfLx*fD)6Ps}F(JF9x-;q@Nl@L{CnI=*9?9m~
z#a||}pgymr(6c8=;MVnfA!Ljm4Y=zj;09TdgD9<geT4|Jrb`ETVj0lL_it%t#q6k^
z>KrC?j|fku9b)(oGa`Baji)MUoG9zorv9il5kmaVlt@x`>O}?5`j&8`fEvqfO`1AL
zt{)K)(qcxXoH_TGe(|D1_JaY8yVb$gDejYuJqt2Y(&Ok>=0h#>xZduo1Q1t+)#?YV
zXhEu8{cHd~;<>8C88VB9F<JazJOewrgqVIe4+@~WM;XqIy5qs;cI<_R@f>KxwOk!@
z5kgD7f!m~2HHbe=t`ehip^tPIM>p9-kP}bKr`Jhpu<uD1T$18Jf0a^ewLXg?iQ8sA
zQif{q(os(&U2qpNEx!1dqgD(_xwDO`Z|v}TpUE^Ii4WCITUL60lt6pN6+Fb-Rlzjc
z)9sEcKeFgMzrwvOi5h)um|SaAp@Nlz<o!|r4OeY(?0zPVs*eVmFE^+{pyznBysQwi
zR1CXpwkU(%<_+13{#1qZUGLA$6bqvXkL~+g2joyto&2>pSv44-7-$Y37DaVGaEFU(
z<PrZl9Bb4aHK>4ifesNd^yE$xWlLKTF>TLJ-<QNg?O{O{+?F^x=Nh}&{6Ps#maoy?
z58**PZ^(>BFNvhV;aa1M3YyOTE@#<8fSU)IpV;wBBd;D4@<9$&^yTxRuZ@gEFz|A8
z<R{CZ=O4^wG%D24oYkocr+OkVE~XU3JINyN&0}o=wgjZqt(NyWg#@98*^}<wlS7C1
zUpcD$OC5C;AHVi5i3}f3o2!d=%A?bXAw8<kh{)HrOO&Tl11^T~Ey@ZjBA%6fslvxd
zXnLtjnstK$HAK4)CC8MIcXz8<_7Dkm4?ATCozsG_IHy}h3Cc*Jmsuy(oQ#sAbkFae
z(}sI(^P>E9Du_!k^=|WZGWt36=Ty)=UFh-IlwxYfp?^`gdh(;l=(Dfgr#35n7?+<g
z;CiQuJn~xNHm%7hL+1BQdR{{iyYor-cA^^ko>|-c@dpVBnPsxAwHg7<VSs~7z@x*f
zUMnk#B-B;+w@JhhK&vZ6?okRJl@BkGrZkCYMg3KcEt4_Gv=oVMyuza!6-F11iW893
z`pcJ5RmNbQN*ceAk4JU3n;GZ5RMDb$zs$&fD$H_Gp2b<>k;1A*dtjI{GUC1&FN~;g
zG0pU7QTYx}%v_>6UfkiF{K)<3{3d`mmbrJoR~6m!58KnZPZs^-KJM6MYyuglR6j<v
z;LySJHCI7DNfgo8Xv=@l1d6>Px!q$`(2VQwqxC#dM8`&4QZh6FPr)mbvC7Iw(IGof
z=70b)9+o-Dv&#hB3m;g&DpW*0ZjHxEx4Dp+gmJTTD;3hFxvJWQ70`E00XqIiOz2CV
zzv8a|D%kK$t#XITq2AT&8#Wvpw9or`%ryn6ppfqN;^&YI$~kw$$u)eImJv`m>sn|G
zwkLl?hFMCZ6XJPH-`2Wmax+hC*0qd5Y`XvMr(1gvrFQwZ#ff?hSLQzUYG)5_K4W0<
z%@RY)np!vCc@AKC(XtCatpFN|`A0f`h#+DU$~T*tz_J#`uFkx`;A@%A!@K4}=u1e@
z{bzAA*vrBkL(MNn5an>x`t&G2dd0PvEy^*6<@XZEEDMIP#zrC^s@R3vw@+A@uFPRr
zE)S+5W(e;=>XoT0H=>dxjr#TGG4fZl%QE{6;C}!B0RR6Cmw7mpZ5YK%p+$Cs8OvB^
ztjRida|j6ukruL~qM}`)wD>9{N`)dzN>pS?CF*^VED_l%$&&05g{1J!zwh;2_xoJe
zeV*SrhiCR9Rk>z4$)jv@;J~5@_LO&c|6rIg`c;lBGl}FO(`w!HzWa@{_m#ZZa-hTr
zmhB?%Jkpnt^$t^m9`qk<$;Q)tq4S35lWM;Dbmd~QeCd{b9+IQ%l%6ij%5{bqo7K82
z^4}csdr0K_uI^#>*P9(-f8!0HZT2Q@AoLG0{d0BcimQWcrD!YtcO&|6=zCYB^K*(Y
z4(#AwgMRj7lik7NR{AjD)A*g-{*wss+^wWF*USD8Q&dL1$AZK8A|5xDapKx&LE6uz
z9=1^amyau#voNo*XjyFL2+`<X(0Sr&7uz_zX*A-H9>V)?Fb$Fi2>bDE%q4F=v#B1L
zrXHQT$TMnBdPx69XxBWLUTX7^{jkXY^wy2KIDVpX#ZCDh;=*vETDC+h+s=AYf75Fn
z*t}E>eXRI}V0Ska-(fYer$c!76isz-Cs+IJ<BE^OP3|w*q-g`&|97c$cCj|H7XBI1
zmbVgR2KTP%->PLFTRjk3Zm13R)BgO&o$m?D4KX`zoOr`7F@12)`K1>0Yy(8Ed%q*H
zmyS*h*O#;Fb~?zLS!$s(@&1u*9W?~2KJr|jG{NSJzpu9MohG7p@`+p%ctd=1PZ9m*
zRm=`@YWFMKu8Hd*yU(uZDJOo1Epqth@PvI~o-c6I$2Ewo-;pn1L=w(a1m<QwX79S+
zKTBKCK)Qf@mK=X6!5y>fzuYJH*<b6WDFtd882P5geLC<tv32Zn*uji6_M}M3^mmWd
zko@t{HuyvlaVP)e<GpvTv%jhRXL0X_Iu82f1|*6U66(CS1?NJ~u`4<<zCUSFL$n$9
zIXSg_LV49mmBa}rVv~zA?YF2JCS3mM8*YD0@E;p9b8$LP96tR)*v4HIIqCA3-b>^V
zB?{IRyfN2^9ek;Z=d)DMaYj(*MbJY+{?qnP(X&a!Vwz8S^dDs$T&K7&;`M;24U4)e
zu<{O(cI$q<=|*Lo>TO@3R%H`H41;AIT$zNBBj3jp*-GH{{pVzyoK1Z7b4Zw;$|m$%
z1{-CTDd9tYnYct-HX(h|aev8V4x#vPS%%O)CK@kISI_Q$Ks5i6Um3ugPdJwtuhMN|
zfZv>=?7jUVv01PCZ>>rp;T4jc>~G4z7J)uz^7bQQFvUHC%fE<F*m?MV{3Av18Y;(b
z(#|Eu2NDn6uX{#>y}o0UCaZ|O;l>Rie0fA{lJ$!t?k|Y-mmX~2AFlu*ozHL1s^k+n
zgA1$o&|eav+zP=xf(rN-b&mh;p#mbVF1`A&AW5{kw*Tsnk%zQg*4f|vg~SPO2JgPY
zGUEKVm^NQQc_hSTzF<ce5zPL(6+Nda2(P)FU)SD{!}6`7FUNeJ5xg!&Y70jz2};1~
zm;h-xG+z$uP(D^nbTxU*c&1bl%SxZ~)Me2Tvpeba+p-d(<+Z?3<wdoGfrOQ&tv(&2
z*}d^69A6QdOCyIQ((4F2iw5WWS7o6$F%a8$jU?VWPB&*nG!TytJEvy9kb(K<ACmS;
z<;3i-gyrF$?+F^u$>?K4(s<$~m)+D~L5z7>zRY7b6A#^z=li9l(K+eRvFbx5F(ELt
zd{m~DD7sv8<+Ga<XHNVTqq!<VI)8)7=M5i-lNzB#+6gptt+FvR@T?{FRNA+d6@MZ;
zXpg(=KT~m6JAC`CCG|wMBiHd1{|;hCu=(W`1{FMFE4@l58i>ryx;f)rUBrbrgQMO@
zCGqdT``MAi_r&govG{x2dWgR@=jW8GCD3rhRUvkFGhxuABS2{N5*Ks#$2HR>AVWN3
z4)1Oylw6nW+GN^C1pfJ_?Gz>s4atEG#i<{N+Wl^q_J<D;zuUB&;=3vM_DUzjSG=7#
zIy$<odc`o&ociZp@;VAUwiWV=w000eLhSU>_V0vB>2D+7LNV~V_^v7M?jo+vScb3t
z_k(ySNfb>gh+#mvza}@mhj?$zQzTY8L2M}7KDpzjC<0opB?N@`66-uEA7UQ;B3AwU
zz)y&XV$8qik9txc@k)Zc>DxL*cuFg`nOzfsR{8aRaz6%$GBaHPn&}KNy}oixLP7*v
z8tj=y7lw&J`ist~;aTE{|ItUucZBg)HP=nkZ<L^Z+tkW8Fh^wc#(mM&5ytOTK3(q}
z#))(Pl`hh{y@>pEk)POED}-hBkAo#7eiGe%74avJbCE^+Y&|>ugdq4UHr-lmk~kJJ
zsx@<QDcM~)U3peO2o=(e{Lc2%g!E?fpt=?wGIuUxy&oZngz*;r&lNMo_SM?sRldu~
zG@|+HRInhFR5w+chW{o0P8fvlW%H49>@!~mAc&D&bwTNI^Mthj@z-Pf1;~me5*7gz
zK^(n(@%Z_<MWl(_b|d9bAu?cE&p&il076rxZ}ob)$cTL+$1@L$kdtox@y8|vkny`N
z|HHyk@{{+<Ppj{Uk@g#Ruqmqqk$?W?)}32<$=*e(ni~Wp$V#z0CTG}!sFKnca+zLE
z+Qh_pH4{{Fjjq+j9r1z)c@|}t{e_Q|4%_?iaj`V{GTGAbvZN5Izt6q*Unxko#mC5a
zou!lfG>dK7O+t`55-QNrB1HQ3J!4xs%9C!!O|ic9!WdVo@1`|~kp00nLA`d0q;T8d
zzAkZ5B=6o)W;ZWJ%A_~TjUQu@H`Ljp+!bO7_j*!fwOfK*yXdLfiUwuU{L1ly&adKV
z+3|kwg%vdN(OA@X{mp9RcBWU;yBI1$Z6)&?N2N)s?%rzsWg4WT@iOt`9%=MuTep9S
z;N0)u_lQjgG)b#p$q%pnqr<hDXS0B@Jo$K04&}^%7FiMde7HVD0e%gWW@>zj<nRU>
z&nsUYa(@lu>}V(x?#^rfYX4!7TV!0`{`ss+Zu^kw87QENP4UxS|NbeF2TjXLL(EuY
z)O7NAx48zWNjZ7B0;*(PO{r^sus*3vZ*!Nvtc4Zl<}Ykus*@(gdLw6!8<35&*X?1a
zix(@O%Li&}kak;tDqG1KlDzWl_*E|Yc)lV>S4K#ati52AQtM_&+7G1*m?awF^`n&i
zC&x8Ofw=kQb}J0Yn}XLTq83b1RkZv1vPW8^)w2d|9i{>KDEk@p_!Gc?NqAA9fi`K{
zJbY959*g``bthr-W(yQ*{c}5XNt+Z1{OS7qvMy=ENRU)(T#K4z$(tFswMmor&W<~$
zw8$3Gf?;WXD{QXpTgB(EO_qB`I*0vRO}>_sh{#-Ijk4nc_HW0uNcF+R&6_fn$fE9z
zBfTls;J%vkbd$CgdHnb%F4whkWP9U>JH-Rm=(b93^*7cekGBoHk8z-oQhpn_{d%lX
zaHIW=yNU)Ww{~u6t}_p*+_m*&Yl1bJ_{&M+x*GYs&2`=8kv3w?u|`OiY7Ljn&HL9h
zDU(kRa_!9Onq})w-Tgs7VTDZtT~>!V`?@}5yz|!870CU2*zz=KiNsxnf4yWCNLKcA
zucN0h{;n#X30zo<v9l@5gk9-mv2Cwgk}?H_%?fV~&DKIn>w6|^BaP%&2zv72lLUCF
z|Lt`Qw*bK(|Lz<p<SFh1(S<B39Bq50@|(=z`^{XcIZ}x1EY9yUucl#{NFVPZ4Re$(
zVIO_yvx2klzP{9*QdsQ7Uu%^BtWk8YzIup@WW;D)5loZ9u+)>Ze|&&Q#N0ZYkZD4H
z>ZtwwBq@k+ZxhIqX5(UDhHBW<S3*fZAetR0h2}Q<&-eAsV6sDHZZNitJsH{->8&b-
zicK!&S-VW(WjrwU(|(BkVr_-xnob&u8~B65@0no7=**ry3sY?K9eYaI*J)5)GrY}U
z${6Y?!s2?{=Gpz9z6yD`&=7NGRn(GA#*oYt6XqV~f`(sWt-K-)Zcmh*cD*!$%I!7J
zA}x6kJokC>6fX^{C2#$p>lne&CApH@b~#KNp7#qcrlBmqUd*7-5F2{!gJyX6keOZ6
z5-m)_>sVImHxonnSa^4gUEoL1p#wIbO=xhM?ytDoV1S^8)>+fNg5VQ*G39lJ2FIMv
z(AK>MP|tXjoP1IUL5ps+Qohh2Y^)o!m)`*P{=Iwq!-O%@*w%W_Sqg?X#OqaG=%aee
z{gOXNMPL{)HF2U_3Y(KZhOP|Mhg3nptd)-_j@-zVt2r+XLFV-f5~}(*bVR1<{dzH+
zd>v_c*IWj_1BRa-8e>7h%UZ`=gM#v=*4saXW#R0TQ@gH&g~s6D9qmHm;6HHu<enK>
z3|kx>`*ekcNJ#~y%hTd;?bVIjaDomW&7bZ^4zRFI>{Iu|7YP_YS3mQM!y{Rrp}&4^
zEX1V*Gn{H9F?K6yD=ShCVjb#@l=UpER%@na6jO0U{Mz@WQu0_IX0GtXl7&ai!--cO
z(=b63nP)zcN20=VeQ7%uWP+De9eyZ<cHUM^14jkq*bVO1b7!HTd`p{Cjx@~I|1iuL
zQ$Wr7N4HL%V1ei6_dj2s$l$&8skYmf74gVrVA>>&^BwbJ=gVZ#__cf)Q;h+-mS<T`
zGYfkfw6*2@>8Q`E(_380KuW9U>F>h&I2L2}>FZBAF3!{6zTCn@z3af9DGz;I{;#c2
z^OPKpw4I_p?`6VXd(b`Ui9Vi=NT+l2%A=aUR#;)D66{{ql%A#-VAt;W)HSj4C@3Lz
zinVa^?q}Dq72yW>cFBt6EUJL|#cF;@I?B*}AFsOe59j=khu4O$E1)f3u&+K$8P~3a
z@7j055Wx(|hpqyOIDeqde6&Crk)rh45>6i+HWm*5cvcardq%dNsaM9Q(7j(XqKx2V
zvFFW$VMVMd9}GHHrws1XN#m=j#t=-6JGI1y0XGeYz_q!`c>Q!pQ0bvD(w3N}D<v|p
zcEN7<vct--6kqp4&DaF7<rn6HKQRzoy*fBUTp92Bz59!+OyJIKn|Wyk6V-@1@FrCW
zf9^T;t#vTP%dAv>byX(()aVLxE0r*ouyKBUohkZO-z+|^&xE;jL~GU#COWoziXCQ~
zVf5U(pl@1CtglXeKX!`&-u1CxQtz3;ZGKA2R+5Qe9=owyuN7fEJYcqB&I}5KO!~km
z1HDTajla7TU`#0NvA1NyHX&+*PaXsB5-oaDC*+Z0W1xB{gblbyOqF>vKvdJKZRh1M
z;qYegcM2OUl?#!3mM|dJU}})GLJlt`zkY7YXJhY}eBh!4MLaag(U_ppVf96FgJ&Td
zLoF-Ef@BmS|2u2s!fqMxXbHaCa+eM2y!b?S5@%l(x5Bt{r4Vav`L+5y8!Oa=sDVNX
zI8}D@IzNXGbH`MlPHtgChfBbH^I3TaFI`wJoFECyhStNjvTO`4WRBO2%3;X`!qoy2
za657E!p3$pyf0vR_im9x&06Ub_XWhEMVB48a>)z=eYxVvujweg@;ud)hk_5=hJWAC
zHABdxX>Nr!9nyI}d}xYdm|o@W-qvOcp}6Jqzt+nlpZjQ0lAkEja_nCe95Kbd-NSKi
zhBB}<Gj)q-62Z`qDvg7Drg*R-Xq^H}8vE2Q=~;M*pv><bg>}aSSvwa$^S0pdC}!iI
zJ^>DgoVAKqu}qL3re0p+Ndsl!PX4|wVL*uD(OYedQ$A$g=~yaGiFnAC)d?f)se@O<
zc4OG)n)PNkNy2z<`>oDaPOkOM{ZTY#gg<S00b?qXIF^60vu#EgEtbw=g5gGJ(fr0=
zaYF(J*B9t~)e!;rj=x`(C5=$Z;uiL&NMLj8eB!S2BIrmoj1A8>gnOrD`Se3^==Ii}
znH~|r={eiI3HFBQFgmoxYqL1M6MKm5yG7v__wH8HumO6$`%+Gei6hv3UMu>SDCAF9
z-b#)(0PA#OqvQ|;W#VPm9>$4b-)X5MTeJ<3+%j)8)JQ>lDOV5oS_+t7!k+E!&`03d
z$mQF06r}i6$1PvV`Tv7aE2T^NC|?`I{Q8-KsXUn>w2C9V<y-x%nLd)N7F&DGQ}8b6
zuAl8w2^@PPAa6OtLatcvJ5om+GAaM1HD*d8Kli7r|1%b3h1$4tLdCHuYS{d2CKdON
z<z%*;<nX*P&hs5-ZqRLN<dPy9{8dfWrfgWK>6rGaH|NYv6#g~(UJ4I&Laf+QEQnQ&
z#BU@dAV%3}Sn^LA=bzuIQU9%nXgli%lN%)QYS+~(uXJT$731{Iq+Jh_Lt)pPM<qdD
zGo5hBgpN~LpGAIE>Y>!@`_J)YD*V#BZaRIVqvg<@?`<#iP`vB%^|kIa911Ar`g27N
z#R1JRhl=$u+y6)PF2~ou-L0}tGM7iI?x#Y#ay@+e<>+F^D~(+dPW4h#^0<QQ{==<$
z2woh(vwlJvU+$PhF&`)(|Lum^+DSd+G*?_cIUobw=z^VePeo9pueW%}ve4tS)jfJp
z7URC#`qhOQ$aoy@yJ#~Dw7ZMu1B2=48mJs#mT`Edh|Z}*7Q7YcHtV?L@Na&yG2Neu
zn+^dhJqKABymejw>18=+Fp@n+mnmWY)ku3SOMS#=Ju?iZ%HvBb{f>0960(MeXsaLT
zBi%NuTmHU0YF+!N5_DzEkB(nzku^Xdcgs$iwgOn6`P?(FDq|nD-p41!0Kvav6f=qy
z&>8mmLCmN!s9|qX%bA9d+Hmjs2V)M;JFmDFXsTd$-stAb&kSL<GNby%Q$-vwjONzb
zqJq$N%kHHcjc`%g`irSD1KIQE;$pp3aLHcHL1M%RbGG-G4lxYm4eylcwpGEOslH!(
zBaIQIncwrRpMkADKjH?3RZ!RU=7_hF35q6++9foZ@O*t(+Ok*~+FkLky5%O=bf9OA
zmLC&%D=U4{Oc{1x_~LloOfj^yUh(;5CO#yEnTy?3!VzwbZth-FjFgu=iB4sL6<X#I
z^PLG5Go86pJI&x4buMEfnTekBb_E-0ObGrrT)fcA;eQwTCh<HIpKFZgqI4PPS8VnV
zGGJo~V>TjtD-&6oTpRdJ74bLr+X1skHt1BVMdch{C?j78t};@9OwI#Q-6}S+gZg*<
ze8WI%<A>k9n)1*!5)6Ma!NwP_MEyb^2I5V0b32%Fc=9vR(PJs_gWKy>+n6HyXjG?Z
zIw#L~eNo-O1N6v82_Fwo#H)(REdlFfaMP*j{OWl&0$4vrd%6{%qr*q%-z^2nk#C82
zI@#ElVV)Omr+^*DEp$!pQt@0*D02T}HZJ=|^fx`0N2H_v+wVM*7)oyrRzJ+S|LW;u
zrh@YD*LYc+epMV9{*4!tmD$MuWM(CCKn{%6*}7+~DLCBFCvmF93_stcPF#IQN2XSO
zYA90-kGZx7pFeJfb&vEKvotyU53be=(GtZn-*o9MB4#jDy?Mw+LlzURZDm(?i-4(<
zekvr}6q-#P6>_{Xuxo$nr}tVI#zM9%M`KewJ-)c-^q3S*#U47j+eR4mZ(=7TYE57?
z`!eQAKMge%hwQq>g}~&tI6J=C1jYeVdLk24Fb+K>^-F|cU-dV!@vAZJzKl-s7NDZ}
z!TOy`?g?SSI3?{`pfT3Js`m`Bkc4{}<K5sxA=KW;Sv@mrgmV})=es0<k1_e;h4n&s
z^|hkrZiEqhnz_f$4vE7=)a8T6GGWA4S5~M=7-3AMbKj~R;z;_bb46;KFyix$ck(|l
z#2ZuA%ECbkWS4~4?kE!mZ^b^c+{_U2tdt|0A}QF~5hDK1L<D#H3Md6_1_<bOc=Uu#
zK^>QglG9reoZ5SA7Y-ZXam&J@sFf6$IXV30+AoS1LBbJrLIx0VlYJKQT@05B^prGZ
z#PF<8yT71FALnSht}1;M1D9{kuZ=w%Uq~DC-MB*^Wgi=vYdGhlU%1H4J)xjd+={la
zQXhBTx>2-NP~d2@Z(=l29DgaR8s!KUzB~BHHyTs$`M-pSk!TL5r*B))I63yCm;<};
z3`YlU`|_%<NaC<plZ%T!3uZh&Q_g>+K=pmxxEn`ryw`uU8qevWuST?N%0e6`15b{7
zRnf5c+Ck@awR)(^cZ(?`#PRj09RH0!QlRuz1^r6V!}k2bGXV|~NQ?SJ2{)2K52KIu
zI#drc-DG>+m;`R@x+oeIDGQI8m)9)4^}xsx8#|aLi7wjy_`bt*tQqkc;da!+<4t!C
z4f$~R&vnRYm69B)m!5u}Vxxx^X4=SOJsQ@VYl)obmP2jym-H+<Jxu${8_*@BkSEUa
zQcIDCbDznxms|C4dBMW$;Bskr8)*cN?NGqQIDuzJkLV$QHuE!cnGBxo`x<8<rwHGJ
z9}L}Z>Ot4waC@AnESjjbN$$OhI6PH(ck-<sF4_z#b&Ju_5b-KsHiLnSM#T+TD_KYh
zIr&#Vla4;U6LC~d{(Njgb+6pQLbdMpF>52vyYpc1MF=TD+-I&iu#g48QTgeXMmaqC
ztxj%wp@duC73<<@`rtoEw+Qx=#{q#_14UP5WO-8$j$hHo>vQLp-&~N#>)kKc?dw!V
zc4E6opRfV4R%vhd<K+49`fGltoK@iS@?J`0ngQNc>I9A|DkA%kY*1c~3erQ~ez;*^
zh`N@dKAy*lux&B)J^Nh+4ot_Y9iI%bMy%TNm?i`2SL(Wmm8!Tr;~LO<#t0vCOM?b8
z8A!f-tn%eDRUDY>UWigRMktG$CLqX!W@7EG(>*FU^1wQ|<dZQxMSp*M!11|TZHZ3?
zudCqBR`FiX^Cr;!wA|ueJ`>`_U#7mwt6-b4kb{-FDayGLHZ%K~=o~m67!=Lv3m(zd
z>TgZa@FVu@18ya}*O1n3X;#A4eOB7TJIruyOLQbfKnXraFYMazkHcx|$=}i6%y5=+
zysc`n5*|N@qv~^dLz6f!_o=OHJYZ=grhZ}K^3_X%rCbd3UD@AytAq{x(<0A#GnhE}
zllCTcL;(`i54Rt1xIKRSz|sk4CX8<FST$2Ck6n8e)_$e~MXwT4YsVN6cs1+On<<Bj
zBP-tMXafT38@C)e!NA<G@(GLcbfoj14QMd{rl!77m_HR!vb}ZlRGSP2;==FC=>bQJ
zm4<wFC}PiG*_lhFQjoCNDN?KikP6Pb+6V=FyeE?;UqQv;{)aKXLV$(ZN-=Xu1)O~0
zHs3KW0afeua+3XQ{8>Bg?-d}=>7!zg<ZQ+9=)<bNu1RdT%#(ZDU&%qyx+$~py%^RN
z+Z2Xz`pfz=UH$5Ua!{f{t0O`bT&XvPBYVx@m9{@AZ6}BSYH^R!4~QTy<5JP)5HoZ|
z2N#|RlEuoR<@cAK7shIZNS-?@%)lI-7`v|}1GO8ewWd`<a7nCLw<z8etj!VzFaJs*
z3+(tA9U&O`FI;GsHbt#m2EqP7Lx<9kL`1b9-e^l73(PQqzUD(4jW--WQ%VyPJtv5f
zQt6OJPEIgp-Io%omBgjmn(>z&f?(E+ssG^g#~+p6YCPX0V88CdxtCi6@s_$QDM8a1
zwZB*Id?zY_ezom;f({Bop?+aF_^A;hJDiVyb{EI3{<8cFcLcHWeAQA7Gb6a)H9zK2
zN`bP*qJ@U<f_P-6&SOw*h;gcZ{ze@NS~Svrg>Ddn-)5FKpQ|Cb;vAm-S0)CjZ8YJz
zav?~zlw1?(Gr*I7l}qw>iy{BSiZVWXVf-9cJ(_dE02}JLf{)6J;rXd3o%;jA*f=vK
zt}AGO!6+eLpGi^dpD!%uz99l9!3p>Ihx!n_bU<fWhbRQha}*OdiDI%uO#oUzrN7R{
zULPg?87)6Qief!G;@v;aylfqc-qQ&dHr_IRS1>G!%_gS{X1FN0qI*Z!C7Ff2z7vct
zK{5D!IC?bj7X?w-Gu}7tSvc2lMM2z74BlNWRM$yyd>c$~8scI>YUPOquA5@8w)vrz
z%PongBfDPb5PC2&yAZKyRt#&nW9&keIDUKhlFOEGJ^VhIRzn6-kaNGcq+lxz!dvSZ
zJ00}!!)dmFcbWowUCV<y$x;ZiiazDU5qcgiw5mT=97S0}CC|pB;W-m0l=n{;soy=`
zN}5O@CSUpA8%J5(d*%N}v_}`TT;2mNvl5uLiCNU_MMv#(5oOs1U3eT$9yjLbq4vLG
zX$3mx-Tf7FI98>LV~*8%o)4)I)G6q{*(Zm`zpCacYISjc!Ln5IHVr+MzkJN|<RSQp
z=zsA^7XxKgE;A`oc$QzexHC)vb*(XfmQCp*_Kjj({bOkyoV|g*jf$K+Pq%cF)<e8Z
zm`&6>8NA{j6+9-#zz**7+blM5ddiKzA;ce9JS$lH+<t<Aw*^Tm&Ix*ubL9Kll0XM-
zYL-%6%0#K7g~Ip{$1gNC$cyO9VO(3~Smzlfgjnrq+-}Fh{gA8sTt3NxEOC@#8Yv@f
z^4k3E5*8LbPZ&{8$-|&%K(h0jGQ<y6PKFri<I-fsp@(z@$flQsESyw<eNe22Zxu&B
z6~rOYas~Vk009606qk2A72Y4ljk3q(+IwAh*j#(u$4V%Xl#ED{q>Ri+C8CsXN|dPV
zO42gRN=1?u8Br=_M2WI8e)sq1dA-g#ujhPT=kvTj&rq$1$hH+K7M=Hf+_%#R1tDp|
zG#?ejp7M>p?oY$h>A^fhPGj)DJScVcuL|N13;yaWqruwvvEgEsF$zD_l(i(1pj3O^
zhw_?+OZV!VLJpW<-;=99scTfhS@^Box043>QsRNnG*f80%1kIltD^bK`hQYIGz8mZ
zYv_!bqVx5CB!xaz2&^;cpWZ}6(ShdC$zn6e$!%M$CzD}m+R<M1hKleHg6^T-=4dpR
z%>C#~Mz-!I)sr+T0?Y{3tGpIy-4^EiB$15bD@Ge8y(l<5VEKE#+yXJNy`r?!WYpAi
z$JYmwAw%T7w8CJ(v(PDLYdmwEZ=uHJql&v96&7S08L(v3ThUy}sIN##dT&gEe|dA}
zArYX1h2^Y@5E%)#HsuVltDs|UbLMw*U`2gR^3G~i>?01-44x?A`1zczTRefi-Z!e#
z?NqTbs8nP4m?9obUJ@+~20}~TtoF8$K;C%Z$W?0vbaGWR^MnH)rq-LgG)bs3Zt0(s
zlf%rq#LGg={fVm*Z9Zu#*f5e*zPDQ%A@7=24m0n!N|9hs9Z-g9ZG(o$eMyjxIrFWv
z1j?oJc!NmF@Yuhj&aXinhHVEvCCCA%M|EQ*_9|ga-QxTGf1-FZz#D&QlmV}w|7??P
zDnfQs^H9Qm5eR+AyLmH(ffA8OwV(+FghscTq>B)7M<Q?IUKs|yAG8>?(NTbE55dQ7
zN(eK(2~WnZTVN=8wJCL04w}2iW@c9i*c{zP5!SLmRAI@!a~EatdqC%dv;_gPVH_2i
zcg(T=pKVl|qYUN^f1h-B6NLYbcZxqX&GEK~P3)eqG}I23&KD*MK!@ZSy{F6!&vw6B
zvHc~9M~qo1<7Iwa{H%Cdl5B>y;ke?tFA^}BX%O7pzz?wk6V2%YQyiN7lJ@K;^Zjow
zzCY5)58->gFKXpYA^6rV(TOOIYavH3buID(KC`xxS4`lo=ETzLECz8~>c5pB0Vtl=
zProW>f^{0FC-;<!A}Ufzb~~>idcThLJ<B&napdyOPBBre75wvSvPTfVB#${Qkd5(o
zwp#GP6%pJy>v8&F00Am-Z1NZG8bP@%n^IyS0#8?qikp83m@+YtpRzE5yW*Bx3bRB6
z7xZ0voGApMlV*J$uMM&CaHCxI6C$qf;&NEOP8h~{6a(b|LkvH#t%$opM2MejdLtJR
z`K(7@WU&}Rd9U&>n<666GZp{k0}(p!AADSM%>a!$eRAOsh-l>1OuE=80=fP&jV2od
z2$|cPruPv+ZBn94-WP?*u2ZQBzx3gr8{Mlz6v0!Z?&GKx!}<$%Y?H3)L&<E-XZD>U
zXpBGiO6rw3B<ut)xNOx&Z@ssD?PC#GH@LM0%u1lrm-WFMQ6HqS*G)tt=DjkzV-&Td
z@Ut*@<yS8qpX+}5e`*p%viEXAXsk5mKZ$oY6w_hWE+6&FOALw$h1Wc~Wx#i&+40XI
zI%s7aoKk$^I1sdlSZgJRi`6k{>f7nae#Dlm+bIqQ0Ye74SsqU9EUyGD>4<!>zMQ>K
z0x{Q~2hNu&pwz9f$3>5h(kkcWb*CiZYvnDl8l{N-@5^`YXw&g-UqN;5aVgv%?+E#{
zK?$o@!_G|`(~&;nxA|DQG@44ahfh+J@w=t4_{%0bDtBEpvbre){Z8@X%UmibC=`v@
zaFC9QGF!Lb-LiQ3`+%404;7qxH~jE#5giWkDR;LK<T2wLdg4SU3CBw!L$bcnK^6_G
zpHWi)clp@GixsMfmL0C>)YnIuOU=U8ZUrP*R;os(k#XO&^@dcIK2)_cS(T3~!X$0`
zq4XUTsL{6gJ>f6_-}tcRcReL=9Zd1~qC$nY^jO`y6a#4QSTy|cO$qv>m{yK{D%4xg
znl4KiB7%Rm(I8tHp-T_;BbElmKikfptu@5D+=`AATNUtrv7#3()9~)PGH+m@5k{I?
z|9JjX!JB7|c{YA(xOJU2)URv|nZ2pp^XVi|`!3}N6{x}6pIha@m@yo--h3CSq6(HX
zR$9HaY6v;IP_12U0;BkPT2GlOw*7K^M<`Z9{(Utaj+3VN+R<bxr$k21b%uK3PBl>H
zoi|2!nt`AyY88}3#)ZLxEx|u&P&2kD-bph@ij(CQ@z-Qnbn_;?bfh6-lM><hZ*%NP
z|7rh;je?Nv_4XZcRKURhPTDOCT)6$%c0r1QQfC&jcp?Scu9(yOwlP4TO4HUCryz6w
z>-_jGGE$5Aw{88&z!RB!Ckb=RbxyHOA6XURCS4L#LttAC#s6^~8Rf#}i3huxe%$pW
z@@NnsHeaJ@&OEPu*hKAXgfc#@ZxM<(3vg}W93@Sw;>RcQ*BAjM_=NOE)m#U5X%&Sx
z?^T7u;de{sHx<BQENK*aACOpgqq?tygdoq}Go-6>u%8e8t#B6@|K`t<Cr85O<esf9
z+%iz8VXr7C0MqwooDcb_;JfdZ2R&CL5fw%F!Fv*@UEO$g`LZ$^Y&-0C28bhU)3LzZ
z-9Ri$=0bU=64qUQApBvsD1L?n{l0DtoGaP>Y-(8%eO{lmcVA=rNgVyeNe-Yn@y52_
z>Wa9N?C!!VE)4Cx@nfQw8Mre2Jo>*K3b-Xcy(;sZ0JGZam^OJPPZu%|l+xsJ#F3IE
zwO0^td``Ri<XM2g#y9-7L>BhC8Ttjc_`#P~a->t#0?wV}gQog2pv~9u1-tQKLb5i$
z^^`dtiFSrQ>6L=h`MG>gPhPkd@fkf@X8wm_idxBeNnBjEh?A`1!6Ba3j4vT(a55R~
zJG@5%cUIMBBfNQ#Wn|-T_Qe$9zx#;3ZsJh27@xak&x5vL52-6|rcm-R+c)7YhUU-2
z-314EAn{z<psL*ja^7XqJCBKC@v+6&To(^)U;f)7Vr7CYzk3(UnZ9}Iqrz>aKwc0;
z=$TrNjB&?dLHdM*2)GuG1cp%f(Bzb55NvD=q1YqsA!$U&y(p<!5#mQz66J(Koe^#Z
z{l58DoQT2kB%g<h0<cZky>yZ3|81M^O|jPtqk&7$VFQzck%!Jdm2NdeX3vw`&WD5{
zGdQwx%#8q>G5MMwu7)V(5!}wPNf^h^gjkLcgz#7XQ=h{(1I!AnX2zNbW0!Tc{eJ^O
z@QS#X79VE-hlPQ7UNd2Y2CZO!jWG6Sd4#o!F@1yH7^~qbjPS7Rlp-cK+<cnJ(bf9U
ze=*U$>xeKu{2LZOk}m>^pib|gw>~^Kf@Ieui~*P19lI(-LD2kt&y7bPb%tS=lSG*u
zVfXa!=oCX@UFkNfdOH5KC+-|fAfj8rg3pvi0_3nu8p6?Zq_S-Lqq0QAC6&{9S~ijx
zSJ-lcVMK@i^TBkBGa`5p-|Z!NSqeu5Y+^RE(os0ymm{ewihaCRS2wPe!PM$f($HHy
z{9z-?l#es{(k!3yCs7vD(f&>8<$Cx}J(zvEN(_&@R=5_4@_5Lw%oIAOheOA0HxFcq
z<KXpHrDabA1Xd3Bs~^+Dm{-Ki=2H@|?Rh#cYN!YYn;MP#aeCl-|5sBrLlQkVtJI35
zlyE+|&Lt^P4>9Y*^4F9}p`Il&y=JX4v{hLWPG#vK^t{f^13l6R8c<f?nN!B{l%8f)
zjUEaOv|X=@%3@$U*ZGkN6;PgMsLhY*!NXkY%?*D!q<YnGQNNKOL5+?uR-+^A>8p<d
zE%In-Phe3VRK?%F?RT6H)6tfpUYVG!fXH&4H<#a#u~s<x&z~V?eO}y9k#ki9UwviJ
z(*_FC(+4ZdnOvTAzaKXytOSv@U9slZs2JOMNV4gpKGYBRd?0lzfqh=mMJ$Yl4TM;3
zsaONpCRGnL{hte7vBE#p)SxBN$YMq^#P+)hEt}n$JX<L9WqqNB?GXp(mA)7vZ9zFh
zL4*WTp<QN&)~ll{KO~lZ+Xz;F#dDO~NT|`gpLFhuI$lY1cxa^<qwE&X8u2hy9NhH!
z_3u`7#2?5JQ3*0ZztE`SX<jmLTu5|HlR7xU&s~moHN`_m_42iuWT>+mENnZj4sP--
zml+E)TnSZPC&@{{X^T@H3xewS*J7Oam28fCPtDsd?4$s#hpX#%t6{l+kZQ|qfpJ}B
zg<IDsc+S0{Bl-jl&wF?FtPENpkG=V<_+#e&<L)zDQB-V?`K_;#&p^)e=Yy6{DA?yD
zBkW*8f!C0Xy)0ASp?|b?pArh(*stAd?^i_;h;@%b0al7bS7IOq@!|uQgM3NI-Oy6C
zTE-kJlf#HtcqwpU`&HJ{rHp{@A4?W{00qGZp@%cbxc%&I-Lj<;43l>9JN*Hc3N}qw
zEU6-6pFB&<T?KsHES#>yY6;PBg6<w?RV2G`OOf2=P#RY*ExignD=k#obe38F#FtK;
z;nLW%uIviq7jVQs^Zm{y6<o5m+hEiv0aKX{v9E6d!ju^M!(nBxG#|=2vrY_W1>-$a
znL0U1Y$p$}Dr4TK$9q6P1mvVl%eF(ntM}ul{F(oLZp+#>XK7*B*%%m`T7l_bqh)4#
zis+omx|kVEfQ&=wl|AghSh4}dc#{J1hO~WC*aYxB^x2l6BMh`x!+X~kIZz*vd0*Y)
zMf=~5wDu_rEIQ7dlQNWr-vySYfmhrJXl2!x_qIUN=R+rxu1SNy%e`B}j|;{n`+rzJ
zGe_IkiTp}MDU4KKP0rlTi3=2Ym8Tl!m?~a2S$rgcRdVE5XBh`B>8<M+$uxto5<T|E
zL2;~^dZ0M%#DVO-z+?B8OmX&Jbj}GoF$7tzwSHvGfjw(}te@L$3RA0QO<U%?D*C!}
zN82tAtgJ6*^?qZ5sokbC^mQT#n~#2a>nR65Y;O_?WSAfeU4a5&%v`j+W}cI&hqsQ0
zlz7J&!P+|M_Dr93KV4jXRDug<I(n|Nkc^>yT64EHvyM*OFNYtka$$6GeIzZ<2;5dJ
zvcE10;flvom(9F9_!6V-W+ut(qw$>Kd~G3&wYPQNH{!*|#J4YlFBu|gU?SM}GXV(#
zC#_^o@PXZW*5H?{AvO+(dfVM3fJOQYPwX^5o*ig#m@P5D`@JTeM@|u7!LA#<<**>Q
z;*y-I=mt3bHC)*C7?a<*!v}oN6Y%k0*6)B;eW>J<|BRj?V27c+NkOy_cubZSY<%?b
zd@?HUeFXu9TSMl*>=VX~siL>%m*|jtT;QDfodD04jKN2tL=0Q7@?5=22gMS^Cptp#
z9y)$=<b()v1n<6hxSo#X+B>_IGlX!#^1PK6lOw+G=RF<f^)Tz4FMeu`F#HEodiIWs
z!P@6ccJ*yNRCZG=N7IDi_x0Ph{l*g5s6G{$5Uht9f%YBNWFkny5>4!Rl6awVH-)OJ
z2SqdI<a_UlIGnQheNa>yKRs#wTUhiU_`~<o_8bv>`JL>ZR3w8>YrJM|_2{DO?V1C-
z!bMTFr}~wxy&P_l6=MF>=%WA3<Ko2~Vkop~4i{omz?@7Souyb8H4*)4mcHUJhz;K0
zIj#VDQekv$t}ggDSBtNUl0dBUTs8loBErPOUd!a`BFtLo<-#>dJkZh12<TJ7-*Q=5
zqx-sG@z|!LFeC-_4_S%UAC)nB_LCsFOBc-cAB3I^;==G#a9jlm(&-KSYxPjNO=10o
zOR^wHXQ|v<Bq6ww(M+(@!`+>l5`Tr{p*eSWIEJ5$cttHghs%0sOpuH6-Kc<!Wch3!
zc?x0{ih>@o(NVxLK>jYFh)~{TYj-s&-V0nXut=ce=BFK#%HxXY9`Spbr9p#K*OTc0
z0ev*TbBW*Ds07PMyL3whHROiJ+C|*g$4Je_;;mWA7!MSCM_pEfzQjgj&HV;AKNicE
z8LWbKr+^1p_39v{eXV<LVh9ht4O>MRBs8wK^^5V)fO;U=v_r}WdZ|5|Vt7<R+Bx~?
zPKO3$o{GE8@EGIN{>W2YFI2(vE}A2ZUlT`d{~b}`GC|w<Us>((WDuL2lW&M=;>62D
z*1ZCzn0fgr>Z&vajO<>gq^}xCzvH2`C}D={FX!fh3MrVe5-A=E)xfZA6wgj2bLi(i
zNVOtRL2sfcH#2qir%AfpRI$Ll`0O{=c2Kc6r01T;<lU>R&^_gn3<x`zY38I+;Y)0B
zNWDUXMc`+<o&Ol9&HQf1e}M``!(J^#b1HI7*L6$#f!XiJI@@EZDD-HdJKP~--r%K0
zT{Upg;(lv|F%|QEgJ*8AsbXp+sqo<vkf%04t>~tJZ7I%+6)MOs@~WNHvP9`fsLS(B
z6fECZb1W=E32u%>A7`8`;mfg|b^0b5--9BOYs(ZMvDH6!)W;H!EGQ)-<EnTm$ahKp
zvn={mgAWvYTf#kcNs&cF6>S$nIL$9gVa=+6bgZK#bbbYzP0>hbK3ILpCrun?GP!^F
z)hwa9DRbZ)T?I`p$%CR#MX<%}d5Y}{&_tRz{XkzCyY$tf{y7RG@o{jOSSz3;P+R(4
zR|!)UBiTaA1T2KNJPu6(76%_2cxfxb*kd&9bS58O23tQRSpw%boU(bNqks!71a)!(
zH=Y_h_f-90pdpAgV?II-GV)r2c8g3u|C&3q)`@}q3TZ{592s;qc)WhMyao-|4~v$U
zS%BPPNYn0-LU_Zy1-E#1e7kMHUCF`Z%gm2o7qld?VI|{6S0Ec4-D4|Te9d7i+CFum
zSR8y-`?HT#vBKzX)d2aS8S<9nZ{9Nz1NVu8@dn#j@m0;o_`8@HQvIp7AN~@-^-<Gj
z&uv*@-rsZaS%fJ%6r;E%o)DqG??tU;I4eAEP>H_XCKxNPJ;_-ojFJ5x>?gZf5iFSW
zS=rbG*-M9KB0GgJ=$o{0?_M@gk7i#BxMqyTWKx7Ds}RUsOYgE(*|ANYwz`Mc7`}Hv
zzU@MQU-xV4bgnhv*~Gixe#i(bv0<Va@q+07dVTUR?^=|_dA#zSG=y7dAlr1B0EAA{
zUtdz^fS0?^-)sJcU@Hoz$iCvoKEKhVe|tG0zws8uXvhGsfBA$wv*t&d?Lt}VV=j;`
zwSTwqHGshHxZABGe8?87zul+L1M<v<;E`c{s4)sA)ob~%B=ci~(i2`ZtkLtcKA?|1
zLnZF!ReZ4CT_-DZfFCBV@3$Rea^Y%Wwg0g}K8R*J{+Xr=g6-3J#n=DQaXm30`<Vtm
zbU3UcC7GOgM$yv>pwLm$^Lc|}2|wta4t*c~6M~~};b`JBJ;)5~Z=J9ez{ud1?VW|f
zI8!_<9U7#EVtc`c=X`=V`Rve5v34TzmU53D7tzD9j8|!w7X?wd`(Vg8yC}Y2yAh=D
zR2Ofhq&Xg^5a3wvoqS@m7)n!1_SeSi!sZSHevyRmkrru9sust!fb?x|O?6Sfb=XC^
zmzkp)W%XusB{AXMFT}>Ki^sJ#bNN?<@uexNmbFz10i5wUf8Oe#lB#lQGM0#scW){h
zM#$ham%(`OEgi5&YbAvRi6Gaod7r7N9Q@>K%GRCL!GFHiVFjV02rS!Pq%EKTAAyyu
z=p#A^j(Qh7aas)1Mk{Vlc@^=p-IGp;(}9eRU`1)8IF`O^o39a5!VM2nwP}(L%yeH4
z@^DLHy=Q!~iMlefe^O3b<m#aQGr3P{uN0zF2byg*svxpZnDgKh9qh{6_&ocQG;UYh
zI7LU3VCJdTWxb+<JN=<fBl~2bOW(tld|efaVe+ENj=BgcnEd>YPab^2J;}QV$!L}o
zes}nmE<#mSKj!)>z%21xmYFaW`*LmCZz?l$O`i{&hP5Jk=ezFMTG60%acE7~T_%qn
z|97`UT?xkqEZd*$QNv9e`_cYwbi6$y$VHG=hE}m5w_v<Fa@8h#48-&y<^AZ(6t4>S
zKF5Zih}J;!*$<muP3Yt8^of%WODZ^EQ^nHdqKS-O%|7q?4IsV4OyI&O36fQu;__@-
zNR1l0oAJ>Q8Y^e>o^+_<YSpW2AxE?j<w!1d`)h=amt5xDi^#B@=Ot-0Yr#Y%)?t&h
z30#HwKE?!5&}BnBQPZdey~W(~ryWi4;7@ggloS;o3N{6bMQUL?|7Js;qh|QvVna2$
zO~u>L48@#5O&rTSQ!#Yc9G)yaTm&T=E;xT*j+@tj^a(58|N1O2X7k_fz0BP8E>h6W
zx=kI&Y+qjW{l&mcR@!L)MH)<;4LyHuR>NM0y!PoxfLl-cFLxFV>0yUh+w-aD5)XT6
zGz@%AWak~&L&J@NH}QX($l%uAkk!Vp1j}SX|9Jr#T%M_=Wi^m+EQ0v;-U&<m_wdAY
zH<MpdgHoPjH<VGEo9+0s+7d(N{wwFdQ1II2sU`KCA~Z#dE_%JQgctqz+aWOuE?CW%
zY4Xa$zH3KVU7saBx-13U(;&k!W7c$&qBN#SF_MQnEb%7vamz(@RSd9x3;T3P97%4~
z?nUL67@cT45hh83o{+uYLsjPdb>VDA$`Phc7GX*GMP<x9i{lB<6aq#0>**pJOWZmi
zO0n-!!mWlj$3b;|7-rFCBba%|R!M|~R;~z%@YiFu4O|eA@r~Pf4+!9Aa|t@BfU#cb
zvTmNWDDWFgw(|ixvIir@`sFZnC5h_A$p%;UfC)MmaPPf{X<d~J+C&@nJaAZLe48<y
zG4y6&BIwHm>uo8_o|^ESz5b6;m7nK(u+##}RbxqCTO{y^wOa2i=K^D5x0?^)w>gNc
z>t3k-6N6-6+-_ytImTh>?ak??=4jLzXgld9isuWF_cW|#88$z1XZcdi;M3u5GWw1P
z-Zc@OpFjU)m@if|di0oLs&d72SClYfC9_=$cxD-rRT(xsG*c7=<>{rE3E^|xxT=21
zETg`kWi;Wa2~sLXZXX~Kkm0&>b4&gl<M?RfwS|6Th}|yz``AYS60eMkDktX|+b4=A
z3XF}RbnLqQrw4p^UHV@_+~GyWN4wzMbGb&~pE%q`u;aza+?)biyCp`PsQZg<b|Wm^
zx@#sy<UtMZA|6?<FiO7VdmIcgM0lS`MYAY3GM8O%^c%21Mq$W0<dXp;g1II}9l7vv
zB*c2omldu=3g1gt14JBdjlXt}6ZV6*{Q|DCq3fqyRz`<DLO=0N=-YAPX?+D*Xqp}I
zL6yl*?DcV0K}+0%lM|JjpG_Rzz7|he`n<zl&{3@)VVyh0ffHex7Ip7AAZC^necgo)
z*ZaROoM7d|X4h9N>-TXXSvp|+$bcTcHCaWc8gU}(-Kk)HNgj}tn_@+nd4Ydi$L)9~
zC(I-F?zQ{E3ro)L=T9+n!DuQ;?zRXQ*b0L?4?pKe=<CW5!5m%eE%JPHzJ?24^H-*0
z-Uwp%h_Xw+kuGk&TKkxAlp7X{`xh>+5RfV7xTG<tgJh9OKj(csa61=vWQHsZ<L`Xl
z9w|ClT2Fe?c8C{_DyO4@0*Ls1@%x?zLmeF4Af9DV!G}HjH(a^@Pz04(-wfJ+YU5Cb
zYi~BU0J>(y+LEbaAm|wHVlCIkQ=6)@q%=X$MBYC+cbCZllIO+caBWENEE7v|2vAlJ
z{1WFTiHxZN_b^LsFzVN{y-5<nw}wBKEn?C*u3Y_<CaI0~ko!}UNy3Qu=V)9zD}&j=
zF?-EfEj)Qupz!H35eb*W2K;B`FgU!A{p4#c7)A2tC%22Bj6AYKFHHeMlW#7zw`gI^
z*8N|lkQmzDFT@0uDdKTXfl%RFEvS6>N27&{Lw47dM=2kaz;f<UIwy-Zf&xGLgic6c
zWLKyDGbt53%ot&gui9{ykL7=Vl$nF<M*3dvAz@K8W}3xM8<I0^Jx*FOSQx7b&uCJ`
zBG1Z!u{+w>`fXKY+ng+1BXdKjN)!}?*Lk^$>0sx9bAxYs<Z*P>dVP5+6|{CIf3-{<
z$cyEqhK(qILX9>S_(enIg(KnC>bh`JQdj#rp$NOT`%ca|se}4-LPB>)7e_G}yLnLw
zA{)2J)?L#;OhN^b%H&tQ{I^F2{3@VZCU-b|(8TfSD{?K&oZCS?SnIAt!l-J3me(IG
zXpdaaX)n{qwOrP%t@^4EIrTQfDO4MoyGwR1y)(e*RsCJvR%B>=AWI0hYvWdYNK}WY
z5oUINGElLh;7w7M+X+_Y++gThN#Ab_w_(fN20bdq21+!Qgmkb&X}&JI%LKCH!;R~B
zX-E;#Yhe7*#<c58=@uI^3<b8b7(Jok@*Vr7E2Y{{H96KRRmt=#_SG2^cQvT4<79lM
zYU6(Z0096043~#LmTwfsZL()ZX7+yH*PhSir9vq!BpMR+LkdZXLWxSz5S2m^QB;zU
z=SfphRwz<-WN(pv{($>@uKPasxxUxARJN9Tas>gtan}2>FSQ{(+;7!5qlZ%m!ul?l
z0B5e<99uoF4YpPO%T$=Uh*$OuT2l{rkJlG1u<C&0U)7?KwKm*bPHnlg%?3(xvZ2)t
z+9>&Oll9fS26pJ*)qPN9gM4Ruj>3c5kX)dxPfJikPvO7I!wO8C{;=m`%r`9*G~LLz
z;88*UP=e-!I}=^^&*~3}YeBnEjH!5132&7neeQ)bv6}uLkDRI|BsfR(^MvKGIo{4z
z?<5oLRg*5EA{u!A*)nUtmo&a<iYn#>F!9Au^{PsT8g7QNyXXi>pd#$o`MFh0gpXhP
z`{0Hu6dwO88q^ShmFIfFo%~F2Y}!9_-d+X5m880C2p^O-Fi4x%HaNI?pYYe=mFPT1
z^4Oo}#4csS>%R}$pn*CO!f{mzk};ojnaM2B?(y;4Az=e<qqx8VC?d+WbFzwej)+=0
zIcZu1RLZbkQ5up%R!=6e`@%SJ%;@X7ybXX<7LDa+$O_0?helN||4q2~xYLH~3FKxt
zG`h=6L(Koegm88jF@65qhY?N!-cPd6<P0qbhvHqSP2buG^CvF;yUeX|KghgbZ;v==
z2L~Vdt2Ghssv1Luhpb@AEA0E5OAMNCXXu*~>WQCr&CRX(mO%MD&zVgkcx@LIbUUJs
zXqcu~oE)^kQ?s(0J1+{M&`nXHC#;^BWBw)QX%=|NA@6bU13xNTgJ<uGeIbl_%9_K%
z&B4oGdURqFFHV-;D%dmGLOklo7Gke5!v!Hj*=ZFXgmq<~vaJ73^rm$QC(4>3JbQ(T
zf+ZI&2M;==Jntar9io{$hfSfAZ+fQdG6&ww_!`i@bQ8|5X@%?SP4MdK`wfNa>|oK`
zBBQSTi%{Ov6=Gv(f{1TNLir|G!I8XgEUn--arrX89(COqCU+Lw^2b<^p?RdS*?olY
z82Hti$7zfOOWvGB1r~@7lqxw~86%Px%GUe}F~ZLmp>{mui$qG&t-0stCWuj&JE<PO
z43T5#=;tx@m$=%JTxWk}iU<$goHMc05T71vG-%lVB|b-M*2fgg5Z9YbRBpB!U`X$%
zw|Ub7@oILTM#GOe;<1bCQ~T`(_*(lVO7Z>zk^k~*g{#H_QIX*wJKD|wu}-;0t89T_
zx;{BrcYcwu3cIp9!H0o@h^H)jx&9It4Tam@#Iaz2_rwataXRiLnxrMg|0Q<UwT<5U
z&I-?`|JCM4(edBm9(EPmMZ%dif9Sy)c0_J|9&RN;M^^mlgXWBX#N(2hoe!%xkUKQX
z=**`9UHiq>X|o_Er9-*chYR|n1m|OW8fJNeIh|WrU^}{1gJ&fVJUadxzE-CXz83qA
zd+DsWx`XYL+`nb`)G2qiP(~k5yjY&doo2&CxZvS?to(?VIQCpDKo9LUy3Ma+*%9J=
zxa7R9Ag&e7TBAxA2PB_Z&SrB!%Wb6Vu&ppIFW%{?)7ORGp0fpReVmwSJaC;aUIYi)
z{@WUxp@VI!^%p)kaHCj;@%VkeD2`Nbe!x`FfoQ1w{lm39FpcTl#I{cyAyRWw()YD-
zv3X|tMFcP6JyqRTa4pAO`}g5nY_+kNke+F~g&(`)1_h73mBhB-LE*4LEo7gOSp4Q9
z2#Mzv%_s7tu~RH>)y8{T$O&w)W7-Kr#yGUr|Je$pod4(c_plZewTd!mp(1Ff`*u1H
z%Hd1!wyH^YEd<e<9O^1XVP?zd8dp_B*4aX?<=eFI;*iSfQf+a>WqnJ0?5BjNRE~^-
zU@ep=`y4&^SOV2CJ>5C)RzlPy|99L&E&Mc(&fVfBiPURfZl;>4px*O%a-V=UKIb=x
zom=vOgI^sg(<xPOW@xD-CToLw_#>{3a|ImFdhKA@u8#4)UjJ1%>0mOoPC8Lg4nym9
zF6-sgM4-BNu&9|X_QflvTAC^#--&if^Mw{Jz7iz@cIYAU@s0ZTlp-?epYL-Y(*fzI
zqh0b!ACAmFyZ9%SuxU1P=(~v?7=O=I*gvCT><Ej>tbsD#Kg}*4?bpY7*L|^rkLXAh
z7;b+Vp@O1>q*He)X?S&A<Inj92E6J@-`uHD#l^F8j!hAC<Oq~=_RAV#gTPL2N?siW
zZ=Obk$}_NTc(2ih1S9kXMeP^$(?I&G4{Q%_FyI=Q_CRl?2{y0(yFD;Z6TWilXFUfQ
z2ypGYU)W@d95EE#ZPr3(($f)&+W`61N4XB%F-Q2ef!|MiwPAfGwUp>(;6w5gJ-0|p
z99whUf%vS0vVm~IEt&xt`!h|0?$+o{PBULPqYLGeJNje4(!u)9Fw#o`*c$2Vu%AZ{
zA(h7CEJHNdbzS<35g@YpgKLn39z^|8{Pj-h<DhEKuIMK=s9AkATXMA?CKXCNtzPSZ
z@!<1wpY2R&7|EX*o7cr@jbP=>Cz{yxZSYTe2NUHDHoOsjx)A!YH);PtH8iLg(Y`Qk
zp}@*nuAHKSlBPS~56CFvt&~MxbA&B+e0Kjce?}W*&KLC`=?d^M64$?b*%rgg4U5*=
zYN2ZUL-Mq{G_G{ESBRdmh2zXAsg8yvJ`P`vwY(sPf^t?dPY+uJb!Xk!W~UB8qS3MT
z5kJbJeX=e{+2ZV~IJv;vs<?I~IMP3b9cSZDzn!I+5Ra*w_8d`0%FVYypNnUR&biY)
zFP3<Ho-ykdXtff24zrRrAA5+?&1S122W+rubg(}!NfGH6b=7lpGKo&}=+EjQHn?<9
z=Ig#5IZStadsQvePNog+zR>*#5S$Zw6!K99Ty@)XHSK<rCCB0v6r+GvvG`fV?~<7M
z*Q63FHcq;FDAeEJ0orbvx?EF`Ko#FL$124sax_=eQCyWkywQ%{maC#D^M5F;FEB%%
zEN|N2Mp$F^$+lZkHo~ZizHHAcF-tBUy5an7mlf=kZhLAn`5{PuF814hmb45F+cy<&
z39Zjp{2KQ0z<;CP<|Lb0a(SQb&cad)*eBh|cs|B~xv5C?EhRH#Yr6+~+qgNrp3yHD
zH?tyJO#Ddo$TZ2}@-9=8VUF$>e90B6i^LvtCH~ti(`0g?%7}TG86q;R0-spS5f<;G
zZmeINB#XwKALYL`#Xa9_Yn#qV;&$W7KU}jDq+_d8lANR|><o7(9^@M%xYPY5x6O@{
zIo9Ibj6f6k_de}+-u#<jqZTf8@s5*DSnZlzZH!SCCC|p4J%p=_=Z#**7<uu8Bk@nq
z7}IvFm%5aH67}b!-CrFZC7<Pe|Du^}1oJuz9dnUp;`z9IbZ!0!x!rSo@*ArW<cyPF
z?C+`}>f=oZT^|gShHS!q?S~A()@#2tZ5c^;-){Rv9~mOcejHuF)oXyFzt`^;E?y-f
z%cv=r;2|=bb%Uzr4g&-wuJB88eMFiYWuz=KA0jK~jTDr>G4MJz;+4g0C7C=VcS7BE
zh~#o#exP9+1J)hN=A!P^WV4_#m;Z$!QrmT)MD{x!*+=Sj?mk&hI(4q?ySrjZ&o1$!
z-FxVWtE!8=ajuDsf3)1bZD5%6?6%Jm9j1Y`f6!LP>l+z!w|RB=!U(w`HYFtK7!5g+
zjt6Tb+R5uWT9XAiqoh~6mWdNT4dI>wk9W2HB)eq|Vj>TZkyR~9r}sf0+V7u#U3R~d
z6k%Jx;nCi4l9^`qGvI(8-oLSp{2kFvddp~S$qk<%wfIuqE@tZD*v^3F0?%GD+uguW
zy?Bz`lF6l4+@^z(BNHPpHvA&DA5Y`jBr{D4IC1?~E31P*Wk>oJ_W{!9t*C58?hF~u
zxbIu%rH!AJBgGjpgXA<3Hy`XfN0tZZo_f5*3z3;G$?bK+<X6j8RWmO0WM9b0-(Z#{
zUpE%bd6YFuva24o*m(ReS-#ACnY^1OBqvr>?VKMY#T7?s;%)!PioJF!l}|PBaPY~h
zeE}1s|8IwxA}dy^=8!@0acK=q&vb<N{hK65{3VYG6tYn!&7s^!V${*bf8TZW(`hp2
zUO?_Tdk(5vzUyxPgc|M$1ssvPJWIMLe^21#<)SiEwlEd^)DY<4R_dGfhm5zc^VXW<
zrmEtjjl%j>VLjHZJlC>7F3jcoh{*6#F}7n_2Le?==f3DGu=XDrF5CSf><~ZY_UXdq
z8-G=xJ+?zAcY%d^Ht_CHJckga>SO<{{E7<hTDWS@hOkjdDV@cBgTj>BK!|6#kqTHA
zMx#H7a8S!4R}|=ni&B!O3*t*Ul+i&i?ka2Iq#O>bq>_5#)b3YBo`Tnvp_U>NQSgqN
z+L+{G9wM-u+T;|exp$W`m}_{sYkw`HbR4_Byq1=t!uAblmm4c1<jQsZ1Z#e(G+eFL
z$W?}Vbbq6IxPmgCwRf9ctr4VZ_(H6RDp{&B?|xsToHC}~K7H(6BTU%{tf<upR-h77
zk3<_ADx<x(D(mW2Q7Y`xMYch0C91G8?)?MbC7%u2AN-S5oLXKc;rF(DCAG*w^<|eU
z<1cHkQE{UL#s757^|ikW^-*RlF5grIN*O(N?zNJXb%5H%8VfZl`|*`B#ZDC{^If}G
zJ}ph@2+)7M)6k$IGOP=1mvY3;hL_y-4zg78g}}{LbS<hqC_G-LRSiv73nnw)%TsFC
z_r#7m>rginrElk3Xn=NU*F*hMMT#lJzuqfKj}qZ&QWg8HiT%&EuXj>iNl_cWmt}j<
zsHXk?5pTw|A-usM`t2QMs>!E0Ni>vBnR+}izP()!ts8UFVi~HG_FlQ%##0RHnKzHz
znPeI|Wv`IjHEPtt#uFEtBMm6ojt{HHjTkt$vS_1ZfCja-QNLfw&5+vIIwuvxZ;0T&
z<X5@8TGXblzt%eJMpXZa>oW<G#^5#_wElQQn~ME0A(C{+h~lU}-L!I}DWZbX*1Ztd
zrH=ln6H&ctL=7wXZ!3Lhj>I=#2c7rnQ9ol&t_t35MD2-=dTXU*g%a)2_h;htsRHv?
zZO3a2sXVu}p_W$(l)vussxY8YBlDFU$G#X)k11Er**V}@R{nnGaT*o)*2#9&aRw#a
z+`@<zWkPqia?X<!8Wlpy+0J~VQF>pZ43l_lk@ZaG40)PH{m1?Is92sZRe1PZgKE7k
zCbIH`?3pww{rgvolpUJXFY2ZY_Su1BxiM4ywm!u_7{wUvR-ryIgf$Z1+2NC7#GwE$
zJ?cLr>xRb%6)CcKS!~{@9Tr!_HHUuHp~i*^B~I*+qGH1?zs&Bl!}|F21wB!1O0M+#
zvqSO1l$6kvuGteioH!Rqh|6kHKeH;oUsGqNIyLI0vbNjd?!&&SX)bl@I{WjCd2*0U
zU-4Zbv)>lmR>myr=}@889X@w{jA$Za-(>WJ?OnRpBfH`qr7Nid1<7)g+$o|}z-#@!
zCMNvO=(l{ip-8o5v$<F)vSP4-f3FLZ33-Dv{loHd)PVA@E{RS~=zU=2r5@P8bgxyP
zyQwsFVYSk~(=N+!)GC3cafJ;ugP#3MOpu^BIaZg&J?BGgu7zOs1>m*YwQVsfqSTJ8
zdwZ7K3P7npwc<Z+;7_#1OBohHYVBsX#+9mqIIw0%i<ba_#(;qLvNk-_4SktoAI}OR
zo#~mPD{T$O2$g_I9(JlYTKb%GiXgO3oZ8h&w*u?(ws7w|3uI@L?!h=eL8PvH+F0gd
ziQdEKuGgtek`HHnVlT-GVjEv(*JP{(luxH}9uw;)y$`XZW>g4Z=+fxN^q1zi%HE{b
z{j-VWTG#dM%`O2n4JPV$aGIl5wX0U(atg6n65pI7C;$<~TK$1dW>|Lpc2dOtW+MMJ
zv0zxoj~nxWoIE+E=p*-@R*UN)YJ-K#)e88b=hE>fox>C>@27s<zIT`?AIhvb^MD_5
zd~Nzh`%Lh`jc5usogmtCTvjcw<%jgCE)~yuV`v)<7sdBZ6Cu>Ux>RWa7%tS7y<-}~
ztkZF(Z`~ha<YmiI&GQ0?C4b48J~zTawY$5vhyNwIg7w9`H3d<6?n!lwkr9rz<lb0g
z&4L&G7mlQj3u5yLVa}vyh7j5!Eh1FN3a!FSO}2g^tbDm8ZYyC3y5;cW%~I^B2-Xe!
z8Y_&`vg{3Cstur_JHI9PI0x*F+|LfuMBwux=%vao1Jr(9?(5URi8aO?4ek>nkT&eU
zwP%ijJ$ymV)oZz7{%gzM#!sSHoivnMnZm$qQW9oJ9{jF5p(+1b46fT}uSHoi(8al4
zaK?rgn@g`f;A<4ejLUAXu>m^rM1!j`zwlvAM|X7eKM6QtT=noRI@ZZ+<fcaoAd6r#
z4O%0KWm`8}o!Ul6RPhHEe+a=a@vU}Ez7)bll`QjR>2PTF3)HzNjGd0D&mw3tNGjN^
zbNLqyzq~Dvd`J+1G25Sd*M=2%SW(<R_kxD+{3kA5N)yE)9hKW$$#QV}<9ECwjfRF3
z^DQH!7>d{KGnfiffZtfLLwg(z2Q4)}(5A&<_vXqUsR~8Bd%E}gk&`s!YursbVY3{5
zb)UMjJ}aTM)NKCaX&P=Q)AlxJN<!m`rsb8<l}r1^_p?^lX?SyVE@fIq8Y<b+oC69f
z@S2{g-9XYHQ?AYLbYBKA+Zm?fp^AXqUACFiH2k~zI<wbV7TF7VtkQSXpfJu*>bIdo
z%~w2Uqo6$E2ZC4{$JEg&5&fkjlMeENvq@Bk0{lm_7DDYbajeiqlDUF`4wmfYF5QYy
z7TP=^m8=CnPQHrtd<LAJd~Ch)Qwg^&y-&*jsSV?MZiigm3~+Px&b;idmH5RqbaqTu
z7X$9K)gB6lurAF#zw);-^1AyXjxhBweDu{;Nj4)$`FKw(PN?9$S>D&@YxMEq9Z|2v
zVvJbbdaw9DOS$93Z7n?!8kX1Y)3TK^!I}}<P@g|);4A)Y^llFg9t~Ur9cxS>+H35W
zHmr_`ts=M9E%7PDG&0!eoY~SpOb~rsrvU@k=ffZF(4all6VLYD9K;$&;&YlN`U=!s
zm6rN+r`=&suCXO#^W1IOoU|bBC7%-n8s@!EtXiLFg?i;9^{2mTVM|g^nEW+;h$wtx
zYIRt{!20-zq_sBke;TV?+@goitBjAa3IozRm^GV2wNYgrkgP}QU`xHS-_HzSonX;^
zt`pjD=8Nw%>CnRVM@>4sD{YV^8TcXCMH>O%tk>RsuYs~Fg8%U**g!i)BRyt83pS7F
zn=E40@X`2z>F%F4aM@@3?o*H!%uZ{tZ`D!3n61N#d>JMz7Z;7sm22YPHkP|bYm|^v
zMnCY#f{EFCCAZw#H6VJE<EH$yJdR(8>~*qZLNs@o&g6G>EdCdLAu3J=<~Y-1Z_I>H
zQ{C6Lmuleov+F?Uf6H-RsYF~#oQcAE*V6GsRs3X`qHaDAg}X!;^X8JC>5sN!GMiMu
z-E!If-g7}b@>%ua=PeujQzoZI_?Gh5Z0DNGb3FKJ!8p^s(FVeyN?p;fm2e`1+}a_{
zfxb@<91ku4gRe^|{ivlmxfFD6jR*_!&wcHiPY1$Yu}APE$RqZL`_zVvIpTHg_}z3H
zU@v>Z&H$P$(uJS>IDB@JP;+=Js!I{5RQ+eLWn3DUEoOW^6pa!O9uX5k^VYbZ{j74P
zNfHm<`Ap>x{wBJc**w%ttf9Km>5_hj1kA7J@bNhPBAQS1ihd5ULinZay|+Zg5&Q4B
zumaIbbaPxAiGFH{7uzVyUO!RzKe2rOIkJZ^GE<-}&RIZ2$ZD=(P#7<)zUQ0O_7J`$
zZhuRd7O>Vk#j2ty1cjF7ca#5m33o<)^xQ>rv?t|#PJ6`<=fn=Zrp{l)&T}5|ogHSl
zul0)mbrvr?&VNes+xnX*Yw>A`G+p9L&(%|nA9+wHlkMSTF-**U?5nA|Y>FLi)rUUQ
zxuJCMq=r5@N^s<*<UO4*flGMj+KdKHl*LC{aGV(@&TjUVpt+e~Ati;^?g0lpwGsyr
zI7w6wJJM8NF7d@!Y_g@49j;q9mI{ST6RKA;$f%_~G=EdKK=~{i%+;=qcwC+(?ze^}
z7^WLRRd$Qjr9Es|zacN-QuQB#z2oXO{pCjJ_mmRcJj)6Z-NJ94ihqe;55yyU6Ae)!
zQMItXh!uf`=6aEd|A_2>K<_3&L+Gr!#$|Ao6?(%?>Ys#I(cVGK9ZfPo#Vnf&Zz?N(
zXqLUYvX2c6w^o6zQU*A_`+=EN1uH_<{&<tw$c~mx>skWuF!1}%`LQH+HcZ`*lGy6P
ziH7Q?*cJu@f71RmYb>3A>E1HzG|Gjx1-0orZ|V3LwUzzYZ#J0yHzyvL#e-;0wZ!2a
zbZEJ=gu5oN<8l7gz%OCE5PLnj?fX0pK|cCNe>!oXIkxq}mjHfr%Eg%6Uh@C3fIAQ4
zbUD#+BPVY5j3BDlAM`t5M?;C`8((2vF1&p7(ee0RVf68BC{pRr$6$F!PP7v@Mx0uA
z?MM?rY*VJ*D?5FNIZX*N5_zCdu;y^?kSHE|&&I_S=^-rk^}46i%TU>vl^E<Mj^gfx
zgaEo8c7=kaE1D10dDkAa{*VB_sPE&{a$Ss<osF$F7Qk)ZToKk-NhDm28rkov3uBF3
z_h;flcxY|Bb7q}1;!0cAhOz5H$k5RE>=FmfnqLPM8?S(y->vC8l{)ZZY4R}77s0#j
z6_XsR<RC!XOG#hT!5(?0+KUcR=-8(3@Hnb~n|rd7Jz{jQAnoqxMHk1UGwT_z0YxaJ
zH3mDK)q&|2wqU=T5-3?qhBRugM2(u-D7`=j%>pdn=anTf>(-H2b5a?X`&jKtrgU&>
z=Y~}FDk)s%jQJJ+O9g>b4`pU{>tcD}^?R!4WuO|}zw6>|H5}+x<Mo}@#kwwe{geP%
z+}b2v7um0lf+UxL`WJe*8O>b1=r0e00JhgZj%#AEbRfs#nLakSmc^ynDdO^JBjNt#
z+PIrn{`E`95+5A?tW(&fgx!0UbQ~Wo=}`Oh`;QJC9D*+!e9o-I`{g}*=WX@y?A>Uu
zE*Aq$UY*yKOO#<yQPd#!MjvES(F8x60T8&i-)KYyB}W6Dk6odGDb+UTr(}q~nR@BT
z8fw^kSM}>MIvp3eiC?VVMlh%j3|zBQ9qe`u%*H}Go+XLu3BNan=bjt)oD(!KD&(Rs
z#m_)m`^;kjM^kui_VK9C(}dghlZW*z7`Vl?>Z4b;8MG=|jP#yp;c)9yO3j3UPwi?P
zYc5)V>+skEryJVvYwAdj_(R9(<hks6SRsy$bt|Wb4s;Hj3;!BLM+Q&N=S@S_=wY%e
zBn|1{&d6KmC)G3rM~&>7um!e>oU>PS&;|cH4(rQh`UsF!SS(<*!EIWRsn>p8usDqQ
zM1|^tP0`EiUak%Dbl>e`TdRvbPHTTWZ_|R|ib>~lOMJO5c!b8fRDWfyUh@M^4XoFA
zv_0@H6R)Jg#9Ezo@S@O({{^2aj`_+3%ZxGcH*wXTBjMVR8jw8Sw`?Vf1boa@WNp#r
zUMKrAPz&E;9FxTi<S~^vs?@4xi@px}wHi}RL>3L4no5_#{@<0m=f!OC(Kn)WdHd2k
zN2UfRo)Ck~mTK)aeN05%vi&HvUkx75QYO->1rX+J_dzU+3HG5V7mY3zth07kV7%r;
zedqS#?;Dwz>V0rnYO68=J$Y&D-~JM23Gp$bV>ZxlXkq#JRter#?f$Bf<3whC*px=R
z4Iau?e%wJQ;`VP%FPpSZf;yP~uujGXv4O)OQE_r8cG-S3y_g~ny?ps9IT!HT)gC$V
zL<T%IwO0mpK9ak6s{+oN0GHbGn7Q0i*zwBvUc=SzWXAMd@c#1z-cQlr$i_*a^RV-w
zwzb{le_IZeZhT;kC#MrC$4tb~w(X(Sda92s-Wx?XZLmT?O>8-&L=cu!lCO8MpPZ~d
zJv+T<2~s#+?A1m=_|K%77mE&%S1#z!|D{>t`R%Lwz3O<;o}uTjn$k~N={`IawBG`o
zSmwPm^0-lc#qOc~u3x0+?NmAY9CP?r-nv-a%7IGPqi2HBd&#r)8BUvr%piDFvsA-_
z4Hd&Cb&q4Z$!CjUdag@ctE4ZZ$*8j+GI&{#vQ8(t`?PtZVEj_9^WE}nS-=7j`C7Yd
z_r4#bt5#K%!4DH`>$*v+=b0mfPL&@|+xd-Lal`k-Nplm#gnLVMN=y@`tik6Lw|^l!
zTDfeWUN^?XdDZ9Q@e_pqkmfrC){?cuk-^FTjNonb{o9D^7{QkFve$dlJ5tT5Mt69h
z5u&HuYeL3`iB`Fjb3bg#N#+Zl=5tMkP_*GM7J2iVIBC22$#Z0pi9Xr|w)TcFueUCV
zk?AK+MgFn!<w_;eA~V(uzc9e2!JipsUA@HX_>UoH4;B+bd_5DsCQCVa&EiH=(H<fy
zOxQez<rT4k47N!uVxVCBxY@FsT|~Z3jKs&-4}{FF)sYTH4EzrO0RR6Cmv=bUeH6y+
zP4?b<Jb3Kwcg%!JN=Pb{Bq=Hql9FhMcoPvCMny=4((hD~BqcK;dq!qP#_Ruco$vQL
z>%KqC11r-HLiz|>-d~3|PkbX(Z;m>hsnCKu_j>Pmr1cV%$Sv=V#5NPheA>O~Ewo@@
z;JwT1l^$a5Ok!b=P&*M<>>%FsnF=T0`F)E>?;$D+Z6eej|0F(gtsQT4r-DF&?pv>8
zJ;c?Fn~D<lzle;t&i+j;nlOD(4V8m>2;nOe-hNTNgb}y0IM12})OOm>oxImWyq~+d
z)^wzwxDpio%z&Z+d@W61U#|5KI-Z6f@{bG>l82o4D;!XVm%cX`)M9#xh@A`eM`MNw
zqBQ+eWf}!sqNl3MwfYFRpF`hT$x$Nh>~)==?P@TW!|p!M)KBoT0AE0$zcWaW%KRoY
zM`rH_NT>nbpK=BPh5<q`c4x>`@g%_{*{bYzSQVBy=Jf_u28nvh+qqvVriiI!7mX_~
zRA63hY4T&(5Yc9vFdAbxL;T*JIx)kh0x@NMo+b0cMArP4=o9U;#F?nu3$X{4p`#-{
zSt)yzcqDB3@M-2ek@K9Xmw2xP@&#WUtRu#W51apbRa{#jWCV^0NGK`6QKg5K<<}>O
zlEkfHevg)j&sC3p$R{cSkDs=4Q~Mv{*s?qm%gR53$0YFbp*01#B}si{r8P|q?y~PZ
zaCwbTsL$YB2vUGc9Zhj2w`T|xUaa#epaFAZk?NH(dDv0VyLwK3j+hYKp7x(M9ZXty
zJ;*yE5909^30Xhpi4Vgv9K8MXu!)6k#c)y%zG<9HOMA6Ij2M*sM@upSt2%8dW0)Ki
za8yKfHY^cFr)+Ge>X^YUfZOaWn;h(cDA%3BE5u<Bu1C%6Y~Y<*a!l&JEc74xNE4X3
zM!dSaqe$Q~2bA0by=*I4aI$8h2$a&mw210pg5@TV4Vk+A?Y9g>3Xdct7|{W{eTU>0
zSsq~YtYmzVB?Bkrw$oIN(1W%4+``N!UND`rCz3p6p#34|`nC6r;B>P0RQDZzkbg6(
zIHn{6K^NN26AjD|S1R<n>5d@G@6x@MNh1S(QipPmaI!%|1^s`ozX$_=j(haPs5Gd5
z5vNXH;s9Zj_VpWjVqkcr>3s5#G&DFm)i9WCg4y=hzjfLqAToXNb<2`8aGiYdok^Sr
z$gMY~ls%-uc9?BGbK~6@*Jsxp-|)hXcVSyO$7SF@7q!`>Q!<dxKT3$j@dJNE-db3O
z93%u*N>YY4;vdy$$wdglW1Hw%#uEy_oDQ>%7i8gPZMoLZ3}LvFCM0?2kP-+P%C`*c
zkb_tCg=d_9i^5^;civp#Dj;6H^WR4gdC0J@_%M4^0yvh%lj{rBK&-lCps7Fsj(XKz
z72}eIK{J=*#*6BZDSBN_-Bt-YV<Hx$&dI=Yhcj0NRj82ovNtryL<KAj=AJ%dkb|(J
zWq;Y+w1Bao^QT&h8m!BY_qb=t!+OT}UHxcnkR=;Vt-EVL^Cz=q8GA*jcoj06ovs6w
znW~%2>!|QSb41K@T?zgg9EoSYtqVS8`U{`$YeRckl7Z(-6{v_TcauG;2W^^HBqqvr
zfk|?knWLW?ypA0_#>Suz9G_H|G#L#*G~GW@ok<;{<R0`McGd^BdG5FiQAV)&!Kr5w
z7d3#F&HMO(tv+O5N9UU&rtt1o)BfJCnvkGm@kO>p4}SbqpL$K2!|NPfI^RGlR5nC<
z_RZ_Ui{v29(I)_xH?L=({XzwswM4^-d>u&LclV0#kOgpe7}b1Tqk_Kn!R8%*wcyl>
zRp9eAOSnI7kkznC1-l<$J=UoScD5@84@RxPFQMeNaV-^Uc<Ua-?ofm5e3AF_nbz=f
zcC7N!zK#5%48E2Z6v3dXW+_6@2E3RJ&GRp7f^4JWPLl!|7+>PYbY~m5+r2~6{hvDQ
zu$#T)zbFEK2D7XdTx>w^r_5ZvA_Z_4-PW_)c!2Hr?2Qa18(5_eHSZHug`#lhyUdF8
z;OUpMrSzLM?Dx^pRvT4<<?^5By|xS!gJtx>svg!L>_|J8aZdrhRipBN{2=*q%u(X*
zH!GlVk7K^ETMlH4eHM3~TOq?lg^$J>SwU3xpDZC>8ED-7D%;155xW&0e67#0gx|YL
z1)@j^$oHKsZ;fU{bUe>lvTgwl$L_E$Cx`&Wd3&MI4lZ07K7V2GkOicsR?lFj0G#Bw
zGW<4_8&%CC<32Y6r2jRPcr(KTx7Us7j&9?@<!6iuudD&~eLipeNR|__bF&+|YI$(A
zk>SU!a|D=P{}iJ(#{}--Q?w`6dGLhR44=?NbGYzU{b0>*S}?d1*AdFZi~ccr&yL?R
zgX0<I{^D_q#GiY=ZEsET;C;(;o)s@m;fQuiL*SQ5!nJxxRN(^;dP8MF@1O~=+^YFd
z(cDQK68!2=lEQ=GGpvjaQYMgH^?W8mDVhwhv}y`I#Df%(%ws_ZjiG-cmUq6rgAC`m
zcC*rq2P^J7SGAWK!Jnc?LviC#lJ0Z!kh3fgngs-%r?MG=<kKdjhrg%E&>3!>?}9ui
zfAszRnj?lFQP~o_R`HiCh*@Fnk>J6izOjd_jRvr5Cct4%_#e4Gdw5Hr5f3iiZVHJd
z3?O8=ELTc=o%AxzEgJUc!H*u+Uk1zcA;@r>*&%;g3{`(~$mJOivOZ)D9;NDo3cbYU
zGb;2rRbVt7!N-gHGw17%Jkx{huijD*zcXO#-?`fhS9$T!OYW|nrh4EQx{LK`026}w
z)xFjde7H_T73F=_g`$9GR-ady(PEpUe#=Kb{C#hmbEuat<cg#*7G7n=#hRS$!q@n5
zg1K?$(5endv23YI5@W}&+wW#Y`U_yEq|-f>938N$!vV)q4&45&Y;%~8Aih+S>c8xu
z1GxqDozA<sa3}A}o(rKu_;A)ra?h$ZSY0Mndg-_^zw1LCPo6OD{H6SY<E1v_ndkTG
z4RT{<QqJjHGa`6T#N)Pfm^KVcv+f`N&VwS`=ps(+5ySS?he;G`Z4fwLDtGS-FM8W<
za_Q|B$Cr<N9(4<A!(i88&9+uP{1LC`_%BKl`TvvjTV2osyP?vq-aq_!+Hpy%Mp7EZ
zm2^M)^=ZM316$o65kU;!lJ9eYT?YTFDlZZJp#^<keUGiV2;rM85#~=AWl=rdI$yC%
z3o^@c4ZlAS#+fVLqJbQ8s9REPR{lo|^6F2_j4_Gg%0A`11W9=m6fc?H#H$UDZF4E7
zBg8P*NWE!~u>!`rv~)$<XhTbP`Wr(=34HM9j7EZ|A{LCwrnz6$1|P=zdt$OBaqHyO
zX5&jrm?)R_;O~Go9KSfU<*K4I`uM*&TUw}$Qs4P2Qg-S9hpXiI3k)*Idt_`b_`3>9
z^{M$fwCe!Fu%lz+hzu&`Rym4Hs^X8#;G(IMy1*_Hf8kl9EXFTB+qr*P4YNA>%a;}P
z;5B-t{(dco*@x53m8U2;5-7OKb6O9gx^*})PacP&{N-{!s^c-Snz4i5^<gtZWZPtd
z0&)arwT7M1Ks6(=dr7qha6+W$<*PtN?38BRWwfk;d)Jn(hcp_3p>%laqNNhnop*65
zverZ$(TjBVMvdT5!di+Xvof+9taqJp(!^XV)i)^|Ca^Bj{Wj=@GOEf5Cp{3-L?xrd
zTVHfdp-@%)6xC4$%M<^C?JW%~&exNf^e_XZgDn^8->cwTw+|=SKC9!~OlHUBv*vIn
zp_WrkL=~%MH}_?|q@aP)3z3p51klZS*9_XJV%hkV^4I}2WPIl%xncqEi&iZBvXd%?
zpB6eY(V&8b7H4Rcivc7l4MdfOD(V)<KRU*tj5eW;3^JS+V9@YHKcrs;QzTzbZdO!8
zBdrdL?%ft}{@Hlt#BmioyX?-Msw$7VcDh_j*DPQpwcg@xt1>G8h~*@eWbtx+VPxhL
z3pkVhT~AU>83#kgiXzpdagKduwyfL&<WJwM8M9Er<Se^cgBWp)sbaKFEwO;z`}DFE
zofOeoXdwCVxG;uiscl=mZ2|A}e){foP{3#DfBNY%1u$pI(t<X~0zy7<W^owFV-oEz
zgUNfmxa0YF;*^O6>|;?${3I!d|86pV^Q7m-bmMQgWmf=>7jB_@L@SH=XV&H<&a>n5
zEJC~O89+$!hraDY(s<>^f7&TU%*Yd6TPk@7fP<3kb}dH=zXer)J{-@0PC9DlpLqbP
zBhSM~oCMO1D5vN$(4p}st@F(x1gr(9G3&>P;q0$a6?bkLv=5U^kE<~U1CJTI^7|q<
z=J0RK)pV6q=r3n@&u<PP!v+=c-9l)0)Z=TX$v^U#{y|$AA2U$ib)x6Bu^`qe2G!Eg
zE|V72zjVJ!O<{=p?cb;hek^&B!0_Vu5*bxgV=>HN3Lnm^u332Sq5hszcIAOf<Sa$|
z^?<tx1XB6dTBUgLrkK&nkKrZKtv$=zsni%aw!%aj6A$Kn&7TmdT_)dITD*$nGKLtv
z?n76(xbfl{3g6B3f22#&G}psGBgnhF>iHvp3+<V&raMNjl7??Au8w~<gu(+!vxQ3>
z*er8DgVk!C6ma}~=ZJ|Rm^@!-&O~<1Wc5uwcb5j4*Dus+<{N-X1ne$&!-mrfuOELX
zqs0@dtUmT42H=sM{IYk76`SQFnlJRxp*VJItxnK~k)}71k-J#Y$Y18v3q=NekU1|<
zz@iUh_ly}vhFCB#{Qf5KXhtl&l9s}BSr3lUhS7g{$bzdCT%FuAO!(vVC5uT`J(#u)
zE|<Q+f<--|?vZC%@c8$H-62W3pi`h~r;x*fMkn$c-iooIpSN6hrGzeQdb4ZrSO*J!
z$;sUJu#Fvm1*Btlkq%t<y`$V?#EM*h9$9QI=0ty*(q9}lI<PqI^!M2tR*bL;F6PPK
zgj7{i$FLr4xb>@8KiH2ABMzF*wf1l$db($MZ}?Lw`)7$W`s_G&JkVuj!zav@MW5qS
z)&_T%L`yeS4on#4hJV_8cuDES_JL+CxEksp$z{cfk9%XneZu+iIV)AhEKUm!ho;|o
z8_k6;_Y|$xbqJt1%ZU%EmRi6f-P^HucoRmnG01*!-q5K5OPLD{THwg7_cW@K8w-b3
zf3^(>WB2Z=2iXl&n7p2my!;;z&cF9E3A`zaX@#}D#W_?crnC>V#PZ@NZc66Iz2d0)
zXieqXIVuG2ra$}rIv>Wg3qI(xmPB^1>pZHyREXpG+gJLSA5XfLXO}2QqiEFNgL@m?
zeZwhRN~>1@yLu8&8X3wU+fxTN>Yj~wSB8Jn8bTP@G{E!4T^8AX2Wn^@p@POChC8SK
z6UNw&gK?kY<*+NS=$~X96?#$vS{VdHvEX)-2HQt@3>EYY%`B&a+$pEY^g=PTGfB#>
z+oXt-vx|#fD^z&#s^#G4eG<61{J8s)mlEa_XvFKdXo0w^X77C^Dg4xM`bSf_GF}c#
zb?d0sg204FIyM)j(bIY0-ew+EWZgfY!@hMxzp}QtT#Jyw;Nu-RI}WMgsoTMG4u7=a
z+xxtw<w#ll<{BTST13J9v*Tvpp6I||Tm5CXOLADTs6*EGt7A(FHGEsFE|}{Htu@||
z$HAog-xyXku;S}3{)TWpNE5siH=3q^J=;_9?jKF`p$<9)UDJo!@HEGeEJf@{FB{$K
zM#Xcw#>T`81F+O{pUS(VgjF8D{qCnz@!PQ2=<K{9>~53x7mZiOM*9zR?iEzjo$~+h
zm#r~q9F<RB@>0S2ZKeJ{o>I|xNpGm@o(b&!=n$hXt%}{@HUep9spuKW{5X)#3|y@u
z6TVcb;yLFZFH(i5$RILU@OQ5{r2H(85!F*eS$7Hd7*0*xcjlClY5@WNp1(HLjaEa`
z8rOk?De8zLu__IL0J*`%5}WU;A@>30!iah`w2_txDqRGqdArSWAYKjkyp{D&eW!w3
zB#tN_3bcT_d<J?GD>aOed|%KUtAtU7UPs64Ex<ST=qugNs<`M~;1;2#fP>o<-+J*{
z!um+AXP~?)s`&Mn+<7mHZ_4t@`OPiC;Gu~U_f8c&)%Zj+!%G^Uy?Zwk=41&Y|5;p$
z+pCNnlv))wia0WsCtu`nu!Lwut6uHRN;p~M+%M84gnmcNHTbEPFn#*b!kmaA3hq~_
zk{I8(uZ@=RUUZgFO<T96>*vP&v7fk7>%)x$@6!p^4;G-%85{dKSq@bc_wR7dV8b3M
z?>fbB3vg@AVOFt|#l&RmN_JO9Y^pP-f1+dolxCaIvNdU3VX=L@GDU-Vkx_4nF93Bb
z{3CDANa3~Uc1P}tWzyeAj$Lh|o=V%E{JG91fkpdGOn5fUll4tkGMza9q!NN@>?%a@
zjb&v~QRNgF=Xp5zq%#4&rvy6c;)StXMlkrT%s5Gtd5cN#nmODU<dO}E62!{#&-*GH
zhRDL>Hix%-G=s|}p#^(0_z|vbi^`@9kQv^a>Kqu&z~0S?4C&>?%MveX2WR@o_)pKd
z7i>+T((S^F<_#`tym;`0X>T7%KWr%9e$50fhV}Pme%ypf%X;jr*iV);GWA)u8AIah
z>Tn-(PMq8qK{Y=xNDluBI^eBn3_H#)Th^{^)N5WKW;}hEG^*sUv^i@8Qc0})co|ty
zsZ6&m*=dZN$YHA+-O!!la9$3>t;~3$ugAgPZ-Tr$Ij{$)hT!e~{t9OkBYp~)Q>;Eb
zMe6QTcGSCR04tWW9Y=05V2;Px!~CW*q{W)KQt6^TaQj_~u)0i-apz*~&QRt^lZEE1
z**^LZ`}LnyO(7lf*m*6;>Hj5rkN&D1|E>pof^U6%=r;5|f0O8d>mnJz_h>NMRu6)*
zi=TEz)8cHJ%lYo4W%6ED(zac1biviWhS^bt7Bzm~PS`uRLOM%uI=UI_!sWv^DwY1y
z;H{ve@9*wfC$Bu&f8cVZ4lsurCR-2DpjeWZ)!u0u6n_+*{mWbjlo+?FwJy-$DV@s4
z6<g@=KV=o6gCDh_ZrFV7*hc<Kul{IeJg3J}t{GE_T^rnS_0NN)Fj};*{`xA)fDvuw
zq!UC2wLqn<B_2m;vF_wnN15+T_#}7LI`FI(e2i>%_Bu_6moHc!J{!k^dlFR$Lw+sL
zn3JY_m7+&^tta2BJlSw1fr&q}lnQDxZkx7`&|`3T1gnb+2VSRr;a%@Sg)#MH-qT+h
zP*%`%pevXQ{~3?Grd!d3ZPh`qWm*}roamh7^W?_Es@fK;u9^_KM(+@{%7km|O7gc;
zdGPA}>o@jRX~29?+UGS}7EDnQ-pw`6iwD<swtdsofK&Z6-*%O;qVctLYMMJgHdcIU
z^LeTcMt^^Yo!-ojj~8Dm9vT!tC$lGJR%Yt3vt0e$4LVLN>W?VSN)*EFTf5#hbx`1J
zL{Ki{2p1mAIH!2jQv~fkO)*u(Q^4`0gSbv4H-_+c={0N>Lt>6#>~^5QmhjPcns<4S
zIAPJ4=_7$ck0fRy<tT8joY~W@ofqSN=r|n6mcsF%Uoz@^6yOUQ9%EDI$NL74xl`z5
zP&ru1w^xD!Z|#oM+}iN3Rcdx8wYSKkM$7?*C0hy@ZDaearY3|M=JETR@5|xIGA<V4
zCIxO)%#BsI3ZwaBt?R`+3TSnb)_9y=9gI6}@8ir7MIFc8GmxZ+z85x~ypydC&lh<M
zh%4ea+r7JjM_L(OU57lZj%fgGKxX@Dk|ZuXym9kNr3$JXaG>9GTyw(&w)!M_NaM29
z!KY;&8+ZLo319j~9~nxVylcW`@P%>SHQH4QrmFCb?B>&gsHm~1={#8^L}<lCHaO*d
z>pRguGg>h6;*-UbE;)4hLUG^AMa6*N6Y^|-wV_!+I=5Uz0exGG@4CLD;xFy-*s~k{
z%2bU(Zp2j)Q+ED)OLssE9S@g$AM(?Kfa{a@*prp8CC!go@=FWr^ImlXwCY2BPZjG-
zwKDFzf7@}dkv6)XYgFFiZ3sd)9k+%Lsi1tn?Hk!c+GuDaWtzlf4Eq9)SAF=Siq&hJ
zPbWOIQBUsPUEWtFAiMvYU0Ays9(!onL>1OXU!#VqBd5*azWx>wt=kmbE$Yfyd`k<T
za<ugBS0TVAUuI-YQ60sWUtglMQStJ4n!)FT0LcM)sjHFdc!m1XwXi}H{f;@Oo5))L
zE#s(3f2unEUW?(Z->Z&OSNCtu-_Wln<M;kiLF(97yFwTLSQWi_RLd&eEP+OAM?Wu{
zIu2D@hTMIlgk;M<#<XfnNUTd?4ECYm;78BhS4-saUI3A*$7KcN*{;O#4V~5dq^K>Q
zEraxjyqtXXtU&6A`Om*cRnhm+nWj)X2@L!rOL=Ev1@w{5&z`HOVEQ_<NMxQ6$}Xu5
zZ<DtI6X62Iz12z>NeMBUIme4nj3qYl%vyp@)dTyRHXHL)LUTT<ZiA0(g@TixSi;!E
zB2(WB`HelflC=7n9%-!)gq?A*g!DHV^JX$~7%0tzdpVcM7!7xJ*%=E+Jzupi|C$Vr
z&r9w+NluXa!-5k}$6A1><c#aWx)h%Ae&ubN*hZ2*yK`R&SU^C$_M3aO5-9$kaii5h
z3BjW}M3;IGU}7MYmO)7r70;zjG^hU{-iLZoIWz&-<R452h6o|2Q(xHmfB|CutHNQW
zFanyC&vpyW@gv>n+#%D{QDW_n(su9L=0Fs82e@tUp{$oyK<3-u#2!iRB*7{($Xp8;
zW4^$R8vW;*{C7?g^%t$4FpQW&?%2>`xB@3Wl6%U}o;OK+RZnh;6)^?**LS_la#`_F
zN!o?8tdqneM&7f<J51m^=pEF$z=T0GpAP)1{7qPLS$Fv+8iV4uQYV8ldJH;0SD-aD
zM!aWY+j_Fa2=>LBdtKG1#XYJrpM#r5h-kvgC{fx7%5sL1Wti5;>pDTna<M~1+t)bJ
z;2=Y&ZuMLdR$3;<GP)c%WCsYNn>E^BJ{o|kbD7Y?_kT%d!4nNBmAyp9pCWp9IRi)!
zbX)uSb(V}^*S_)YRX357-KO~cqCR{T^VqKs)1>GXhP!EM9Yo8@N1lHpdf>74u-b`#
zl3ZOEtGd|OLQts;su|9D@ap%E`tZ$T<eR7m?*_^m2?sn7bP;ty<jhd|TjpW1CVr8%
zw&XLx@^;6{MQvU9ekao?%X)w;rytwgcD9;$WWVTqI$sA`Jx`<VpI*}VoYmF-s8_`B
zif5y?tPc3~O(q?i`$am+E}WL^D<saf=JMXj(uTy8qMc>WI!Wuw5BAZw<B5n)rDHdw
zwc%5{5C0kF4idMfRG!<GMHceMN6$Xcf~QY^b>HY}BiV&Gu-Lqmyw>u$^9e-@d_D5{
zj1^nS+;e;W3aGs%r7UV5-+M`g?q{L?!%fZPH~AeD>d$wi+#a@bRW?+31BNxsKby$i
zmji~Bqdt-;TbU>gg___K?b!80tBKs+d&p=TcRd+PI>qs~YQPBf{Xz3@-^mufuO~~k
zeIq?WYi=npXh3rQyxNVY-^rLH-UspN-^pDfeCZtq>R=thb?|K6cM^_nx1pJBCi#zT
z4&e%-fFNU%N}qTW*+AQI$$x(vX`iu{mHAW+<POi+<NYR*Q@Hi7=I{@)E3TN|cUBd|
ze?Hgc@@yvGml|#Tnbb)_x1GmkQ&lKndhn}wa|`+M_OW#J!@o#jspM<2S5)8?gLbN)
zPb+zRk7#q6K`(iNJ;JA>QyJEH+mBWkw~<RfyY6ZH=pzF~Qe1ZGD#L{5yn=|<4^n<e
z-tcqA0LlNRpzLI#672DiO$s0CAQwYMC|Z|?$lv7K4!LPX*lN(aQq|N+hOlRAMP!bU
zlS>ruZMzlWRYzpYiIr}0FN4)>t-&!;CW=0whg5)3243ltr9I?c`AZBt4o;Av#Q4G|
zbp?3PDB>c{+DEbtI8vW+Pmy~KK0B>t$%8?sx}55ze$t~<Afq8^npB@2zj;bf9^RLq
zctxu^NOJ8z)!=V5OMVgN-=Ul&2RiFi!Ki;j<QI=_k1qCk^46x%{i57*pm1zhc5QWp
z+<rYYd4h9+)XZzI-;pc}@y349hxEtE<>btqUh5??cCQ+Lm#8fC%y2YlKbj!RN^TWi
zd-0Dv*rcD_lq&<yl2n^&%_(wwYs$3eku{Pz<d%!8feh5LeQmy5G))@qc)Q=Qlm@?F
zFR@Lnmxis|O1(l|W=Y3%^MVFfI*h2X>236thT<5ZlX1%PWO9ar$Ojb$%=B*zbz_o-
z291p63zP+t>)Nh?ZVD4loZ5Fx(Nzjw$xG>``7V)RxiodIzAV_@rpColBni*2y7OM?
z{6{7WMsWWA$%ghbwRDBNl2F^;v-%`ujhqh3qy9?f#QR5O>~mu!ATKSmX046}{k*wt
z&)ah&J%5GDBD(}62RFO%oub1JlATt&XL)chGrOtSLvcvH|Io2!3j^-I;Jfc&Eg!zD
zefV^vQ^0ZNk=P@rjsHC}+1>d?0FAv$+zO?{;h9@Q__OOQcyZwTv>b~tV%q}MhgBSY
z-F37#WMW5Aip%47;iAZLNB3j3kT`sz-=a81a^n900096043~F2)!!e-?L988y{>h+
z<~6R(=XH%p5vj<CkRlpH-$bQ^(jsX}Dv1WskcJN`+3|~nP>}|bO{Jed&v=~2IgiJA
zKcDZHTzWC#Y@kdsBBJ`!yp(X0_Ik&rU<&#5Wn#?{3XPOn;1qxHTnU~L`}L0TOOn?O
zbc8P4Q6pzB_<0*dDC5+To%T6hQsic-T*bug8sv600Y9$*703lXdv~K#nzY<Ot8?<v
zBA+*K*!-_R6+3K;R37lik+x)+C}Wd0nfqyx-C9h;|3n810yZg-`m_BP70)q9F;g2e
z?kY7*#FrT7E+~<iQO&13NA*ajJw5CJc@31uzh0aAQk6Vd&#8JN$dIf_JUG_&N)sGz
z<3mFsYUG736Y+#tCh1U?bD6K5jvZd`y7EVzytd_7bios2GL4b4=A#P(+BW{&xpy?l
z#xd)Y@*Jk5`%r0<w3$Ax^co-fxsy(ow5&|wH#Z{>WmE?FUok>j;aq=(qYk+tbYAew
zDi-<DWw3Q^y)m--6{X%P=#o{*p07{anUe#;FB6XPnxXQPG|$BmJ#w31N5|I@bJC*B
zX;r}ibLfmQGP`dXkay+$pLDxfkmYBePG}liLGqBgk@#{Wa=C~Ur?ayKd3oN;#*^O`
znsamHf%QysYv3b8r)G0fO2Tgs_ozL#HoJBW|6r1;&yD(f-m}P~DT}`N4D9wv>ND^*
zCZmJ=X2T=R$PGu2!q(aWP9~-o{-zm|{adb0>7|>Haw3U$FK%_j=0!0l>S1FtX&_#9
z?=mJC*8AcDBAoDcM80Ce#h5&#e3654P>&1}W;)%}aYn16h7h}rNq#U}A?#;NCu5|x
z8ZN)?j4%bBr%jqnvh(~E|D%00^3IU{uxzh0E~!tj*;$69ZcF)3=M%DI)xDp0<vN^k
z-{4xt`Q!TJ*UpD4cJ2@%KWEmg(mm&lm4Ruw0;_b%hPQH3|0ZXv0?RrrHZz^U<2oD~
z_g$MDQ8heERe3{XZqY7HDRRQOyy-u+F<K;xG%m>ayFje;%2|6r%n80hg%6+1sgsg&
zZE_*!`0z$kV14ZtN2F?--3mTRBk$j#(fm({q9|uo%F`+b)ErEqMs89fBi2_=-(DvH
z8LfVy_i_$6_u5l3ds3DZ{gVAsUqcGpvcg&_ce5dAfBm6QgB0m+>#<PkO@%<c>Cmx0
z;Jebca^XI4vh*+i^$Wt%7=NHm3Gx6=G#(n~Xb>QWZl%}cM@WNX4PV;i2?BQOJ}XH1
zaFH#?uDhH~lZM2pvPzfJ_Hb=a8{_1duiBv6aXCLh8bh_G4wv4v!{!53@@2n9s-8_u
zzIyB}johrq%I}+PaZdm4gsS-4s$GWz{<3LH`zgx{*Kyh+?Dwqq<NJ+-?Zra|m%mf-
zG4_3OJ=+Ep;uu<$zYt$S*PB;YQjzfezw_hAtwFZ9M#=R3BJOs$85QMFaWQ*FynN6K
zTl;hCi~h_KzgrY!>km>f$A~(o;cNvtXK|@z2mcZ|J)8x>OY?hM_bu$dYl%2(d+)mr
zoDgez#{c3h6&xZj;|*z+_!DEFnsl5S8^3<3IP-#v$@omO%JUXDbF<rG{ViUI37$MS
zB`6J}sF?Ux1q%$8eMoRE;73{;<8s~>X=KEY@L66n$J~bx-%cMA1nUEtA^A}n&1zDL
zT_)zZ;zZ?cb{7U`JICz#SQ!Xh^?Y@!o`szFGpsHlQGDFi_9TQRi)@!Fo|l_hNM1a#
zc8(Oo=bW&CL&LIg6&m+;6J?<{LCJE|nu70R2HHIJa(GeIQ6E=nh6~YyXFO#k;8f;Q
z((^(de068Cv$vaJb3?$P*;xs+l~_*y>Q=yw?sE-%24-km<sLiRCyCC$eVgQjl~BcH
zxt*9a1zq^Dok5EfLL8KGIoB%V{^99kFKSG2aqbl_QAb5S^f$07RPe%~mTh#&6#a8X
z*Df_m!|E{SB@P7|b{^x));nN|0oP9<`+8;YUM+gO>@yAfBMSR>Z#RXwzRK*!1zEKC
zSl>8Mp@y$%S^1wMO(A(SF7B|lJQgPX-zJ<@$2orP4eqg~h)j)j8wgQ=^_Gv#;rlg^
z?-1>scf=G8_WJS)cNB5o<O-`~n<naJ+^;s=HAU9Gr&<4al`+$^@8p_LEyy0(n?Zgy
zg`>XC&gm!>9ID_{>GPxGrgzJx2!<Ja=3Pg=4XA<=md9MVS{wVreodV_V1}A>{Y&bl
zG^DRN94Wd?2Lc(jpZ<L_!@|FH6H&X=@MCw_#GEk$dxG3t6~bAtSJ<!q!$uvA@$?U?
zBy<scQTRW_X%^OPAX&XU8u$|D9QnFW7w)4Tx$kn!@ph`#O`}-@Yd)miFUZ!z_buxk
zZo66F8#_kHB})@o9-nmk^!1TsHy;)uZV7vt6yA6*E%;y6@Lip+k2@820_{Fqf~RS+
z;3PjCmojSPsU!OEpyX}2QELTP-$E7EJvu5kt`C07Z-BLKtEQsvSVO$&M(lu_HhP<<
zgd2bABQ4-(bI~Om7(72B$la!mHP-Y;f=lNob*9|yK4y!<ve={x9WbPSHVn(_Ly~Zd
z=i6h48-1J+j59i5B~)H};irc%hy2sy{`NSVGP}XCSqJ|$8Kx<P>q2s5;=M1EfRW?Q
zO>4jC;Hj;#%1JN~z2)9(hhGHVF(<bz^y#34-&?bCTpQ5^6^~Thfjkp8`i+M==)WCs
z;_E&-x}m4oej51i{Oa=ZXdP7RdS_pn(!?@R&2w8CfxqD|kA(B;V4<QhgCjr#dd&xK
zC{F@|30@<;`?X<|x<<ug$=`Zg4?ce`#KuHIZpd^$9jkVmuea5q!Rx_`^lOrAi1Ti#
zVKC^>Q1Ff7Ba~qllDqbjFdI(keZiqYT9CONZoBBKfO)B~Ywu@(o5e~IO{to=s;i<k
zStJXsZ;gC!Isk^2iQ(028kp`bK5Jkt4O7wT$BM;38~>Mb;YxMP84T>I6I-e?F}tJT
zalqd9XI{)StAV&({Cl1ufmPB>(bZOfoI&J|Kc8s$)8Nh{FDnk^cUiQSF#>*f3S;x<
zRADqY-gP5H1T`Fwzfwa8P*0zm+GM4It^fR6LX3o#9Q$l;w8b9&vh?N;$CNNO;k!WF
zC4i&lJ9fug*u&sy^~#DF1w?-pd~}Y^kNWUTx42w8oSM%_XxJkU`#t&fR9ime9<EE=
z$YqDfyIO|oa&mBfV{zec5ibIEunf0uw#7074?*Ss$v|k^@iZcQX+CCe@!@70D0@lx
zB;Q)%X8S;T=4M{lw@F^!$+AIaKp$~7p9)jI4W9W0yi5Nq`{}DZYw(oHGT0BKAnM@e
zp)1b^mu*ooe?+Vy8}cwl@{1(I=Ho8?dBTUzZ2Mh1ldNDvc_0~PDvAA8KP~3c`JtQ<
zp%wGX5{t9?jp3IhKzlH1#E~d~*w&3-?IJAUl;rrugeHN4J;wLGW(vZDr*@C<kOfjt
z@uhS;qhQe}T{Gmh5F&aVl0-IHU`6@5Oa8kkSY3GQ?<Zvuv=`)r?f7Pn;msz4-3}DE
zg))3HGevQdwa^hBV~!zB^``%HDA=G6aRUu;9P{lhSK}~8l6X(cc1;QbM7lzfA}H{U
zUH+*vi-q4l9Zpi_lqF9N{dngo0rin<AFFj)5PN-jq%D8~NBZG>BUeeBaftNNdToZM
z%qdTca}@MG|8>UHQwrHl-VrOen&F}QGlP*~3htIa^eTy<Lf>RK<`{K}R|Q@p4^~K^
zr})3@<TKJ(F7j~svKOW}9b&UAu2uqy1=a;wZ)Kp85ivNNV2a>mW2)vVNjP#Vbk%Fi
zp->@taMaQi<hoGj_AyDQUe*}mJSC67qAIPSMH5Wap8A!4RSM5jRj>UPRYcq09f)c+
z!8Xr7+iD`IXkXV==5bXC@1JCUH!Co~Du0iakuK86?)!J$$6W>M_@T&~W&*YSv3zeV
zWia|aG&_@@hN|YC*N<XNFc2ZIQjL%W{Y=u&;z=69b}NY4MVX-C3dg1Y{N%v+Ugebj
zT@9<9a$?T!Gyz-AO|<Q(JZ_oQ5L<qz<J9Xw?!gojjLg!c=2{i-Io8IVKCOXhmQkle
zp$W$Pd1y%tC1fS0<!SS2!9i+&^3Zz|Ts3;8o|mJHycN`77o{b>IwbP_RW`*)5g(_e
zj4EUVA|-3hwDH)=x1e;FDQaK8GWYhTK_Mvbw$4f&7>p?^i}#!2;L*j99(6Sc4Am#O
zZeU>FwJ$Tj1I>`rzKeI+oEkPgF27)~#7XhI#R|CzGn~=eWdE{F9kWxOs<aJyaC^vd
zD89(TsYuG4`W+24``Z1xPv|2eAVy`cpE=qUzFR&?)5Pb;;-){j4Pa#_8urw{0tZ%-
z>U%e6;mP^ar{k^}z<Xj_#;}wn?*2H&{$fDK9sfts{W6B2%w4>EUC0WQgqf!r6LbtZ
zb>zwV7$SIs#<vPFYe;4f-lZ05!}Uc%Uwfb-E)QBg<5IH0h(axPx$0oJkH1xdZV2v+
zJBm{cY(el3*>JWm@mYR0_1bL%Jdb5;&a|_GQC~q)3BkZc@9-1n$MtdF$Sdoovpu*!
zwQcM>&cI;AaQmf6JviU|y~_#&ejWb&^W<X&1b1Col&aLl8Lx^;87bhC%ei|ONd^*D
z?->(c!N5p*r;orMfd1#_yLb5vR9lz2ER<+NCE#(w;Z|Vv<CxE;feg69XPNMn7Owad
zr#z;zvG>)J&DE1Sa6A|^l&ztOds{X(9B^S{tKQM{qRl#37oxr1a)ml-1V!RwHnWjn
zps!4MstqqPv{QLE4O~+l=H0v4=o3~uIXp$jl5w4nhAHDlonFSZ9c-Ld*43(%q2u4{
z!(1F93iu)*?Qb2x27gA2%{ICg1XhmkBPL~FUcBx4Caa~s-7<YZh@pvzKJwWeO)8d)
z)>G7$Jf#uzJ}Fs41GoHK>N9UhAljfNbI%)qkbA&$KtUaBN8X<^Gh(n)lpoxF0(hg`
zf81Si$s?s}pOrcb<4otNxKGZ&Ty(xznb=Z4b8@o4&Qt*Ok5cV_#|ea`PFuHWsUULB
z`oQ!9UdR??3&yP?FgZldupE^@bN?IMQ_YRWfsB(^itJ%Nn!U1qj{^3z9-qCpoC~#o
zpRY^hv`1cat?r{HIfT}W%=ZwS@Y~Yj_{!G~yHDpASlP?s?5UZT{AW3^Yx0?1VW};&
zZ&p5i*eZ>;-#RxGJ8;0o@ZncYAzQd!-6lVfOhtTFSFEQ62XaaxbQd?-V7Bho>-IHL
z82LknHAiwF|CE+a^$Tl+%2y||miQ=>-Y~Z6EeDkHGO9c2*7()III_lH0-x`*4uwW>
zLbt}}OU5xP^zoEkvp!D2^r`^EL47W)Q=MKVKVyl=2kjNdAB!Wg(df-L3OBgMA3rDx
zwFH)@8Sl#!LkDN7=UplfS~X9UZ|JZ9&t$H3Rh}q}C2k(x$>N1dgk#>C6&6@HW186d
zQ3NN9vMK_0@}Y>QC$-?EIbxd?`CZqF;8S(H_~tr(I6ZPbw$;fTc4Z=(BeTNzCN))P
zV<Cw6xAToPbu5Hzq&q#R6GjO`sa~yG2%fr~lMSm_h>nxK(NiM~+HlW`;Y}iVGw)k;
zv)2r1sdQHFurRI&_S2f_Vqovpc$d1(4B2~k$|SNxVEHJftCEX?5US?%Sza^L`5HJk
z6pKK4=d1PKIVE6_E9xhE)f7cfG&59PL}AzYVo_XD68<+>`EE|8_+EckR9Q$2O7}>g
zU^6Lvde*3aXv75e$H}asNipo8P({?2c>m3Md%fyK6ZCodyqe*pz;ga>O~HL>MDEdw
zJK<@93fF%VH*zUx`!XqICoPL0A;Q%|)C7(8M=MO+C2(!xy&&_r9ITh`O8C`gj0C@$
zutka_`W0sjN|hDxYjplU)jVU|o;Nf)@J$kuDpFmIb&BxcCh$8a&KNF2;u_ZPq|hDz
z+R5jbGI|SN&Ka#U#=!3I^0IC!3f8HzdbX-!^;Y$O4{T#F*NENUIwg%qjA<U*avHK{
z(@pPM8RG(B8u?CB7Iy=?JU%~DL;hfsLW{jIG6xbju85Muha)pt>pRqOAo<Mhl-0&K
zz}Q<p-XM=uCr4J%oCbmp&I+5v8$*6T;J<rN1Xsny7T=}1kA0cxyz-VYn(LT)8qG?u
zU7<GU89;}2sYdqNNn<4Ie)<!=T?NaF)@>xuYD4^s*59^OOJ1WX<;h9W@T~jnPR<S;
zs3h|$Sk#!nOXBkLvRNAH-`mrZ#dUE~XYzUH3R9>Bekf5HRKqb=(uzB5J!thEdtN(g
ziW|?r|97ZU9bN`?Z6jg&c=)2bxb&tOsGOI_)0#B!oo}tu&7B5lnDN)DPh^48y=B3r
zRudHN6Ed5F48iB$vnnmZ9Nq!De|kL9f|2mgHX$t|Y&ytglOAn>BiE`k&tIqG2=`Gl
z?Z-y=_0slsXsRV<Hg5crpQ??XK(l3pAQQDG3Blu~R`}$zwPv@k4sts~Z9S+=IQ|rJ
zbsDzD6=Q|+Au0p=OE#CJO&P)6M|UPy(-zE63%d#)GH^G$DSYovBPh#NIN#i8hgVr~
zA$gX%$PGI?nU!mZw^GA)r8)L^^cJ%wIl36DT*vlEFhG3qzefd6h^73OC~&Y*7as0D
z%AF$m$cw#leMJ}`X?B0}qYhmNCmRTj1}?4N)96#`0gf29jiG#L%=#LYvPTD1>QzB3
zf{n%e|K&}G>S92BG5t?89nW7f3q4M-5lix&RR6|U>T@#-G*@WiROd_trH+knUVFAB
zIx}#qO-EEoO&yV%a$l6bv2oVpg8pox4%qJ%%VHK)5p<!-f_IvY+nxs7)3ddaHQ~d<
z`l5($%m)KHBW!pJwkq~!(joJ>*Lzf44#D2bi&EdPadTi3lY6fg`YWcMCmf?faZYbn
z>h-02?mO6{xlR+J3G@=~%@PPuN{FhBWJ9dlbd4oL12yz7#5p%n1fR^?-K)h$M?pzf
z<GdQG6+Usdo)W<S7{?1dx_}$|UN3Yv(NK|CSz&jP2ku=$a{eiR<MryQE$*r~5mkAp
zbpt1w3R`~9>H$&lat1xp%HWf!)^<GqmvCzu?LCuEpnt$9{N<bizP_z{x2$lUsMv3(
zw)U$%xWpx=lNRLgk`{TYt9FLS)=GH4+|VA%MiO<hDzeDj8{%-Vaf;Y8*kdgbXNR6w
z&eLg|q|vxc)cne&NrHP|Qm*frEnYgkb!u&sLTU|jVV&G0aVd(+=D46OD*7kwG(#o9
za6Hma)0iY$v(!W?d~M*_(|=J>UIJI-h0}!#CJFQNJ-sh(S)*&r&-&t!IGS@l<UKhu
zMIbqA`xKWodT$y&8v7uMb0MSb<>WL`ck^<8)CMagKFB$1Bqsu0F{OvxHnT*FWWJWe
zb4#RVP%0^zLWnzUSE&7SjwndVKb@$))Q?%2b*eiHBFMe^<H@%RL<~n$k#dFwK5SW5
zKFt)s^N$Lq;X{9jd#yk7H0I1f&5lkr@#4o-+Ig8S<$r|urI6{2rFvwLWdWsE`LMM$
z|H0R19B}-hzH)6p3-t8Uv4_<8u&g?a8T5}6-IJzu2iCK&QK@O2KnpL#N}r_^dvn9~
zLY$mbml@oDY)JcYl^0~?Q`_<<Ja|lD2TS{#;a=90^@e%8@OJpIzsHgfx8D7mJM+mD
z8k=168P&Wv6c`aU*2IsE?WGPy+e~5b@O9w{em;ctd-F>s2qJoQK~m&D6Wm#fIpIrQ
zl)tcV{E34wK5K0z|74q>nnxu{a*+>%#T?d!3{mt5hf5waGQs4nQ-RCw@Pnd7d}}lo
z$9s>sa*tMHObOzN;C=yUUOyVGS3<$wSnji_yNnSSrk7L}D+nI0!3NLw66iA&ls}}p
z#Pi=b-+s&xf=<8O6{@@xRvo|f>*^aORs<Rh?|&_f_M9yf>>X4z|6^=jm(IlfbIDB)
zbw#20Rw1QmKpN>XSv_hlOgyM5Iz3V@hU^<+*78xZ(3IU8d_|OrV_9N<KbTNJ^J<#*
zq{<_4M(393693Lm>?@yM%A1ZRLz+|F3J|%GKH(l=grG{Ym8m5Os^T%d-PKA6YG*GW
zGBCne{mz#ekV1RbzK8tvDj1q=|NK|L2;n)S%G|rCxMx2bXR(KdeB!IF*k409N|x)U
zlhUx=m&lsAtcK<t4;ddsjKKUM_GyAH3%z}<87WJi@_Wl_PO(|y=;nvM<Arh%`W76+
zRMG^sj{RuIF(ViT?O#6XsDKxhqPh2WY9ZxvBF}A3CUkGhG5#zlV)5!42Jc%s{L5F1
z%dKX@#(aDD!zN{@yyH3P3>`e-tsXx5n2E{?mnU)+syN?P5_h1C0reDZOKEFk@XX|G
zzw?0xt+F7;<63(781k~Gw8I$nXL%YwepACXF-P)imOc(0b^WDs!USfVl%!{i>PXQV
znY}n+0LmvTy{BQONV>=tERoklq`>}A^QHIj-R|{W;b(@|1trud3oQivDovhXGVy!e
z)8mh}v5<Uc&FE)uI=b~)n|<#vv7_~cPumr99L>9xV-u;3h+V7x#ETfC$Z3jSbj$)C
zKG^<lmkuf%vSfd`7(@KB%V)RMR-mFKB0idd9V7d0zFBV!)0ND$`*qf+m}r^Y=&lR%
z$_PziJ7erK`^x!rnJtQ67Q8AK)x+rDT@NW^Oq@;Y<#&B$hn)_aI7$ok@cj{A&6=%D
zY<wlVjcQAvm8l3rX??^bDtE_jHA15N4U20Y06Xj469F%MJp1<WaZbJgIA=N~&in)}
zZy6>I`{*wPqUH3^!+N+fn=HkZ$i}j+!?ne9eOwUn;(4Uaz@|ld!01mlXhjd!?|!Za
zDgQ2?7nkT@Dwj28xH=$cKeyx<O%JYuW8dQzG_X5eIc-;p12XL{|C{&Hh1=E-|J_-q
z2EOho$>M7ch$$=<(Dh-!a_xs6>kMU3?%V85EOdZ=Jx7Iyg%0}Eu1$@W%3;^p3W1eb
z4*1d8+sC&+hvwHW`)O8Gctr1bYPs0~lTLf<Tnn|}r|h*+-kbs(+PGa4!vU?uYt5&Y
zX~H(m#`t@vAnujCT2}mlja=$;+xP)>kVj9Q)d=FoEyw(Ct5Vq*GUXpRl%NJm()zC#
zO8yX6uhv%%(b<q0FJ+A?&`=f|<w@N)MXc?hb8FQADd%0Th#Xf2vpV434vrCGIO=~p
z-Ti<OUnNafE=Ab7RJ9HWe<B$7J0E&{BEaase#iZy9RAzexB6{N2eG?h^#vsgfs@JW
zdsG5sFtAOIch8wu1Y?*T$N_uARMpCvxlr+=_v9zV6XnFrm=i}ptQ{1}pUgZ8l*H3e
zFK#}y^Tai64_~=kw#bM#=dR78KzfU}yGKtNQIo_Ds~NUI`E=-JhP)VTtt>azZ@)|o
zht6nUXV`#zCB5&&Qm$JgxGh{}dl@lAORnwOVU4eh{YMu_0hsF=QN*~b35tuTNWe2I
zDAsmYNu=@NSL|m-<HZJIcT9wZjJOqAI)6sXo#uhSfqj?8U$zs~`L|sMH(5gKy|9SR
z02d6yKkyko?IOH2nIpN?7N~1X^IIRmiF3ggzaNS96I{x>gXPsNutc@FK?Vm>^f+Xy
z+CLF*g^vF+NHa&+i^sQjTQ3qq4bfVDmS2eBlp8S*##w0n-d$k4?+*c~Cyf>5--x!L
z62apeSm-^wa9LjVH<6@!d>D?S#M8_Z8E4*@LH0}QF_Fc2VoWb2@O|t!Vb#}?Q@+d$
zeugU>i}mLT&UO8V`@JRz@rv1Ft)wa3l_VDZa_5L!?cupyc2h*3b@PD^dsFP+QNXi&
z#T+r0R&(l%^$bDn3f6f*n!xjswLyr<9O3Zd<nsTP);IJu^ln^c0+#pL3#(Sm5#872
z&4YI>5IvHVyX{NfdF&^Ab$i|%@wLP)|I*_>M3H3KNv=R+9E$w&w1qZLFoWOBd{+HO
z$O>)9A0K6+NI*E1);>@4MyF(IcXGhQs4M5nK_=7+b|^kBTOb00y0!I9xNt>xr-Py*
z6aHUJ=xH^-iP5{F^syV<*jZPd(YMVAO%kh1#JK(vD$C}7pRnMCZ*Wv^Xo(@rm%DX^
z#VitbGs_Nd8s@{p)tbp1a|Y;fleWtd;y`Gw<V%i90h}MwNa9#-fPB`OmgO@Xm^;;d
zQMX(OwOR@tFRtoCC3er-n}0d+dm=;Rd#4C4Z#B`a<JHH{qi&+!>fEpj=FCiCh~umv
z$KTu-J#fjVJ<$v2LC}uk@#pU-Snv0|g!8*D{N8O8Uf;+I$6AF44d#*vEGY<XkJ81v
zi{I28*YM-(fkSq|_oa|#%J)F!4+Ej+Y*Vwi1@Zd+#(8mXY5X4m0RR6C*LOJ8UmOQ;
zduH#Dd98b0_qz7zez-EqC{#!j6_Sb~p%PgsWMxa_7fEGA^gS8LNRkyQLS!a;|NMKN
z=bZC7=XuWOeO|s(5rz0i%D`y4by9VJ1C%9X{`v`tKzin$yFvSuA;#<B9?H-zur*nU
z*WMC^BZJHBLk!9=&wS&>q7V<1AFX%(!6Od&$431FzAC};tY+o%J6>p*#Tvg_N<xU4
zb3;?565Mr;IOD|44-Y@4bZb>eLCtc-z`Hj}V4H3}JR2YY-jBuN9hGFDOyZqZ?an$C
zYo+!9EJE<(mQ}KRj4aHj1T((pR)(2jKby=~!f<Uh`wb(9JiNUev`g!vG9+;Y#x>s(
zh3%ya+YXsHAbtp#R$W$xY9DHr=#|}Yeah&3p}8X5nVfh|d!Yg^PSvU4!X@B*S&r~I
z7G==QWB3@Cj)ymbtmL2A9=Mul>zMFW1*Q(OCC4`qV7N%`VSbD>h$r|nL_8w^ZPiw8
zf<%PTG$ExYEi&NmYNQr_hX@kw?8*G2YVe(y*e@a~2f?>K2|B5efZ<(@%fERN)ZZ*-
zJa9=Kx~#ub%h<?p!lq+<eUCci3qDlyZ^waA;j#a$yU5TG6Jj;#OM$S<`wO2^6rsSe
zE&Xh`Ivln8?h~=70qrN76O$h*f$l-^NBe~+P>|%nm7b{u`saQ=t{7Jaz1*kuEj#lS
zo=K-%@zjCndaXz!6+Be<`uF`!qd>OAO|AfYJrGpZjJjsMa~}EnKR<6%fcV^2QP{=+
zR=rJLvmQ`|HXl#v87T_ry)6m;Xtfu(q}P`VgoqHa`Tol5E9%gTzgKx$8i2z8-n#J#
z5%x|wP0R(5!DAxvtRJTlG<v@4I{23ew%wcSyZ4fy_1IgJ{GUef#o-0(wSPnyW0c^%
zcTW{e-yO6zPc()$dp0Js0wP@P$ve$TQ-RyD=Y8!JXkcodpvccp1Wl~uyxw~S@c!Cp
zuymgWx2vqkS178WMbC15R7DQBn<DG`KhYpCzI+dx00H>oiMqS?NkOByGQH{u4fa>N
zb4^vM0IqT%G5?+@;9}-}sdv#J1pW)3Qdb7wSVE+>Ge6uyOtlSpG-z3D$f=A}gpV9<
zyXOnoVd49PLhdmd*sF%Ri#FpxzGN;gk(&;%L)_xc8^-YWF|}D^TMk%K-VWz9&r+iw
z4J|F)H-@!)_lNgTWTE}{!iA8;daBAhGZO<5V|d~Cp}_B=Gzf32Q!mI2Vs{R$RS!Qh
zf{RkLFY%Wo!KiQi(<iIHnD_7{kpsJpz))<@7dFCf;9bnHtG>2`@gL9bSV;v4Ip^^U
zFCqd=VY)^aey(9Z7_7dQN&@hvQ%j|_1tCPHP~vFsCU$FE_maIC07gK$zZGO|iL$-9
z&j-}gpDIlXw=uC2L2JQdd*M<t&9umn8zc%ZZ8lrdp;h$;m!p1$@cWFqN%1FkaI&wV
z^mx%BWe2Y}R_O*{(dYZ3tBDyX&UNkg57MDSO$7VSCVeo7CbTva7~n>5X=f%I9nz++
znoiu-1DDs=O}Pg*sn!lktUQ+6Sk>v9;j)H$pq_dAZ?xzNRl`HjT-9?6^BT@8-oC91
zGqXkiRnPyU@{)R+>q0g$O9una*PnF2>?K#0eEk%)|3hS<@8b<@eO?uPl+uA>-rHji
z1tV0oZ^oxpy4SHIc&VOlKW*6KS)QLb)kih)Xk+-Iu#QQ~*1QPr(t?CI;adi#t<-0~
zhyzQhYZ&KwUV@j77P!*;G*2z&Q7^l`iaD&khE*I6mvYM1goX6bJhA2)ESZ>7vu}G9
zd%op(oRv!xGWwW!Rx;bMoPBHWq!w4PFZhqS)L;#8Xe2P{&Gll_`&V<KcduccU$>*W
z<|#1vfkjW#d=Lvuo8DD-X$^a%aR2^eFABW5=J=M-K8$rX0dM2V8g^JZ-0<$CIuuOn
zock?3hQ&&D{fmCRjzvtqNpka2hY?3viL(|HnEs=WRT4Y*;1EuUSD7cn(LZr^*N;wP
z*2Ddq6%Cu%Uj@6Kx<E1%v3+&_i~oxqpHsCSliJ3rB}y~oImj>`W2a+SIESTUCh8WB
zbZGME{R)#b63{%}@@uNiW0ezyfviA}`mNIIrAZ|4Y`n=JQ?r0&-xOp^-p7FK9Zrc~
zjZ=e;#tBD3rzK4Ldg#+!PewFPmm^4NCPG03r{p%r3ijY&$9b7jCdBtiQX!dx2y?Tw
zkyz&{X6jS&^Pmh1G8*)cY_U}ZvGuVE_3Cv@Vd3pyZ5b;H=QYvb%-wm<?TrUaK5Sya
z0uP=X^JPajUyj^;vW^GQh(F}b<!$W!g=gf$r#R8XuUiot&Uj$Ta{JF5Pmhvr^|V0{
z7qWa=Tp!=K)7MqUdCGkl5DIUXVExR4Y=-XrVm45L?wIgl$zDd3SyGRiC-9+}eQrEr
zZ<WC#;O42IW6a2D?O~Tz96zcsj&!Kn$;Tv)(cE=9R>U4e*IFekh#V7zcsaf+fp9X3
zYpR6}1#pGwup=Q<5&Gh=OUO<R#$|tN!#L1jmyQp5Ac9(~bGqELm0-`ap7S<?yHFZQ
zsyZ}64B@9n>gcu<VUV@q0+q~z{)^$!ohlMXn~b##H+vP~^tS<4vwmKLbLfwB*_K3|
z@|8vjO^Ps`w=^Z8$B&8@;sThAq>-DlXOTyzA_zWXo{+2%Kz%v_Glpq0h;1|3r({DB
zZi<JoY1#{+mv5wJ+qmUWYCz$xC#Fi^$H`TtC?JB;n==A((&SO`M8ZYM3MI%OSW4bl
z6h-Q+^IN|`0rh|X`YFy%8PKx@n?oDB(WRr4qx~C-=&wTF8E#n>$Xh#g!%#^QrQ8%!
zyVa_Us+mTzamsku)_onsbzKVOhqP&%7UEI<QEA>LZvx0a?X;+0l19El!829yswnBn
zdKcTKDoAbqR~%;~i>M6ZUsMCs(AwE&r(X7`L3Wc(Vppmh3Kd7s$b}>%@Y<hYkbw-7
z<JZq$+m=V{Mn6B4+#@5k;y-Pj`_zHwx`B?Grvj>~ZBW;8R7b1n;n|gC6d0ku^UAYV
z5t&bizQVCm(2R}LSjQnvu+w+xRR?7hd8J%-Et-PbI(cS9MYQ1<TUxVnstVe8al^ZJ
zfPxCfZdaCW>i|<>WXYQWJgQ@%3wE8QAa)!_`eO!t@Y<3HaM~oGwwc(kpQ|Xyy7Jg?
zs(>Nv5=b|Ym{UbJ=9W{~bSX%u!^7&792Lxh#yc#Y6Oq`>Yx3XEsiOs%kvfxD0F9FR
z9(^S>BzWayR-XkK5g)vHaVF3Rv|NsilAP2~+w@^xhfiuqY;R|gp_MVj$dBs??o~q{
zS`VsbCK8Z@xUaD3x-qn`N@nnN5Rs^?a1EYI8CeOOlbO3k1GQDXo_-M`$}r)h5*%?T
zmG9SIqkbBM)&4z~EU1cpD!gG#$&x`IY+iM&u$w?%N(25vJ02O_XGT)25~w09^}`t+
z6Zohr7}0)M1#OjQCH^!KLT72&9^YnZz*#i#xv)eDu^A}5-7@1we#5O?0xxNB(DC}{
zrD+B9FJCU;>P<#el<rY}&XES*IBOwmQ5<@1<gfGU!2<SU?OvhEtTBw;IH`KqKn^+N
z$LuXx?!>hCpZgO0jiIhvOn<{g20fE6%wdffpuP|B+J9ly2s*cS{TNo2LZ$Ns>%(1t
zsn$Z_p^Mjyz{%^K*hqyq!o5v#7FA!NzBP^V{5cOW<22n+=`D(ig%2kh#BNeoukn9%
zxdJeB&WBCZSqOFSb<?9fp@ZE`B99oysc_(54Ik@mesuVGv8PivJv=E-cQT*f3!%Kt
z@=p*CTJ%qDb-Tj=yai9&@3HQMi`aDa#5@P`aShscvV{TOyz+EZ#u<WPWKAc>BNo(D
zDSR@pi2+E`1o2&#2GGkxT@@^3Ks*!dI;RsDKsoy3p`jc4Fak%#49&K%M>T(5KG@3u
zqqp0>kxKR8Bi5fCv9yfE{);#>u~W}pP2W#f7IdL-E-PHo{vXyfOLEb7r-zKfN3xOz
zx?t=a7wnfcfoc4d_bl6@1N?1S-l8ZSxFo5Y+xv0|+wWz<>XAtY#O}_@{GZzJ#W+QT
z{pMF}dRFQ2D=Rv%K6$_{M^769a>z%rt;?{3##-N^dFfz})<U*nnidG^Y>0}Tsi9g{
zq?$K=-KI9#8{br+*Mc=A(w*hE9aQ}~R99ZHO^r?eFe-aN6XMB3x%TYesj^g8;@0PF
zs;QPq*;Ky<$SDpzd8<844Ga}A@!_F^`T@^7M-OVihkz)zx_e{Pb69ugZaX?CIr$|-
zzlj1FR=<prk|(KA#%c?tuj$|?>#h`kQwj`od6F-9%u=NyW6f8{^pFsx@MN)39kLk+
zoJ`Sk)V1CET6t~sp!r;vHQP!Zd?MG)=j`XHU&hPNBu6oTwU7QW&mJ<=&Cw|M-HX(s
zxu%AWvy5;;W76%A8ySMI&V;i=OH{{Zo8$LgnSjw81KVX1V5_@cES9WLdG9Z`7=$r{
zG4F+P-xv}o)QaYRzrRMMd;8ktVKWQ#Uc|aTD3ZXnM2mOw)&^Bfl7sz$78|@z`x#bq
zPYpKtB?24nZBaY8YMxwgVTWRImJ1afL@-}u`%ULe2S41C7bc@Q!PbZ&qfLeg_Aga)
z#X{-fX@Sew=KwBnZgPN&0jkiSw3Qb0o&j7cmm5x{@j%v>TD;_U0tmeE3FZ`Gg0GE|
zoe3+vP{7>d7_y%LI>SXG<>AbbKK81S4*21y)_X;dIy|`D{Ld~@m=#<zUQ!tH1;Bym
zezDaY4{_J7j6eUt1}<&tD|G}RSlyQz`L$mKxK-C3J<~W~*YLlbux??9?`?M)2~vUP
z?jK`{DZ7AnM=Ae7o+xbge>m`zqypcwh+o|hH(X~a<C06?4b~eeCj3jvaH*dz`$se{
z1ow+sxKv9(r)!qCPrEWu3Rj25+xZ~iiDsS-n-nl9>jVeZDucJ7fq@KJ07i7HTN02o
zBnKG&vHGkG{Ksk^S`-UHt{~qfLBSnwhMjP@y`~Hf514&e_6x&4(=JkBupG>=n9h>T
zRd!t0A==C=3LC{tHoe>O(DzK}C0&gQn6+mZRQ?i!Gg@y`oRSpa@dn9{{{$XF3!nH!
z42eUkP~yjBsuHNG56Li*3Gi-x@c1EyJ#f<a?_K>>Wk@}At-4)b6-2(y9#oT+hUmvL
zi)uA^V9;+o|0I+M3!>D_Wm_2_G~n9=!c^hK@Fl4hHWH{@FaER=Ckr{}|7{7Hs{wV9
zKU-#j1Xq}5$_57Hz%%-aVN4JSY?h9Hc+8>>+rRg?I+1XoH(SDb#GDM*yozRPjVKWJ
z%|=-;LIEDQeTxm-AOl^~eVej84e-m#@eBT;2(jyZ9p-WBpj(D<u8_3g*Ma*U-2`P2
zJ<Z;uxv36ZxM;({o&FH}CACk@Qw4lP_Z19iQ6SzRCs4ac7oP3eZhjn#2g2u0#e13*
z_%(Y~k0C}MJkRJ5GanLQsGGx<`cEC?61~4gTr-5+z{$ze9;)E<D?jPcd38`=#o1Ij
zQNjDENo5)*5$^Y<g|{S=;oxX6*IELAhs&?P-QGlSqQ6Wf-y!X|cS}Xk!wAM4-q?rU
zC&F*fKlYohJO9ybp{p`DWBBzjkh<hXgzx#ej@4)IaLs?Xs1-8?((_AFz6+|bcj=}8
zlcW+*h=wWgnluOqU^y>jpbGWTiw5zf@=!J-rlS~218u#bs8J&V7^DRJI<sE}>Q~;^
z#um~bRM{gWkP8o;#IY0CR>fiDUPjW=a~dSc3~-z(PzKq7Pr3O`LNHdM`AYo(4L0uT
z)0^(>_vzc>$4(VqP=_Tesyz*YDSJ=Y`YAx@_xIoI+*u$J@zXLGXdqfBRCDgVJm}QF
z@!iw7PTeAohO}fEgTqH9{ZwW-Xr-vuiEvL+bq#nIevpizKE9XSYAFM;GH#k7Gw-NL
z0uCBbWdwyG>D_+}q(IMfQLcS<01J<P*?5m?1Oh?2=SAryAa!WurplcuEOg-T#e_P5
zQk?TE+^i@R?F+0A^q$Awb7kbZn*)@cFl{)&B@BmUlS?c3moaxG#f;TVDuj);2p69e
zfN3LY)}YTSw&!X`*R|Jsp?KD?ePxUn)b>6~ukKvK=HCtp9RF+x+=p+4tXpzHZn(Fj
zp!YhKE+9FHpErP)cMW<^Xs|<_xv7tr?>cr&{KVDGJqF<5cqfu0gc;m>Q0o!yb&QWa
zw&6cpeV~`o_6sF3Kzmy`&#seen5^@h|4@t`NPKd#Mpw3|o!ZZ6`$AT+z@pwNXxD{I
zsoZQTewC`We#%DZ{tEV`f>qyHOc&VNZfG+GE>PtU9GI?uxQuPB(1kUf*8$%6iC@=_
z{H3<Am|JFLFJWo+$xCwYv;ifq>t{Lqq5c|e=zjKY5wkF#ao`cthVGuJqbWasQ8S$)
z7%dkUFglNaBRbc$pg=4pGSsGzy7IVGwZmco6M4{Oe)NYXJe(j0A0oF?<+VBsX0dr}
zC@@}3#at8C{Az8=2db$;zLfDjPV<<Sr0|-5xdyO(&MVXxjl?t+g1VQ)<}r93QoygQ
z0l=R9+2JdO<;MnvU!t4G9@}6%tyvVvOmYhn9c;zid`>$_bI)UXQMDIu?xuhq^Mbgp
zQzw=p6A|P}o5$Go{4+Tpse|6T)oqLRZ&+51b#hepJmz}h`E@&Sb(qAQTcW0ZVA3Zu
z6lQP>SY{mgoM8?b5`?00{=-9<U3}>#Z|4GL*jvc-T7?X6YTAZh>WyGJPLDWW6fR<m
zL(8+-6(mq?p^32G{f+7GyA{;-d<oN;87^8fBSB8NUuS#UIQHO(^6pRl%NSQa;eb_z
z8kn|PUu>70#EQ4A5<Rtd9GN2*X*o)SBaFndLpP?eDDn^gp4v4`(8K!RfEW?p;19ez
zFguF{DR{}3-rB%O-nhX9dsXl@J+vFa9Ok`jVJ_#pg&lv#VV#sjfIC4Wk6Y9KVUE8n
z6V4u_L)u3DiA_K7aJeH}E|+Hk<7+j%=o?0laN2XTIjVSYDj!S5XDnj5F%Gtm`x(&f
zS1f*e@2J4@`r%|xi)CzXFkbcPVJ5UEO9J2eQyE08hZr7;u3}=*g|jhB%*Zb5&glr+
zPEOsM@n_>%$9gIvvn$`TqEmKmWp%|$us=ve?<#o{b2D|3{!_({R=i6ejLIm1;faqK
z?V;OPCH@0V?>8qB?^8Z~DMJyYyXLNGveKhn%l&<Lb8aM|*IdLRs|Yp|2j8x{GoY(&
ze;Get;YAydMVT*`D1g|S)Z6B1MzmxT#x_30hq^eFWb!N&!2YvY)np<wIvs0jq3SDu
zUVgkzYMa3Ur&o*0h#M=4!rNHI6NHeF#N@*xIXLJ_txLalnjK+O`(Y(+5%lr1uH^g~
z92DDI`sUo@M87rfT@{cJL+1?rCSPdcU|;LNgVaebr2O+T-(^Q}RDbR1=$1GR{N7Ev
zxES#wyqh1vs7Vs>$!?T1isC@inDy`BLO!(qN8rRBZE3`2DB0+*h6CTn{_)eA0;pIt
z_vgVp85At!uqNt?gZ()T;65yf2>Qf-OKNh+Qhr*?;qA_Nfd1?8GGQeA!sW1Wk35Q?
zSI*4PQvi?a7{%s=C_3`{N>OI20@|cy;CROs0GFuBCHZAHvN$2o>*242=Fh4=OKetz
zYL<x4h7yv9N6c;{*GmO4bM%bV{!s#Fo3Og3SSjTG?t*^ERRUVbGFdORQUUd?p|SyC
z8ANSxaM%?|L=G0hl`UI%*l*Szvd>=@xhJf0+u4v%*P4}u9y1ZJ*89_56LKh=ccZ4$
zo{R=$P2|-zNDvitoqN+AhrWqOb8uU!qqe?+=i5nS@G#I}Hu$H29;=#{SraKJ#Pc0?
zgFu1l>1O${KqXW;^qj+Cnu44@9m04PG(aZpn;$QO3KDx9`0Ra<25SE+L+?7F1&7Di
zzexGxk#8GMWO0WEI!M$0Th68ncl+eA&94NMK{qzh`%?oI4?iz*G0}$ugz`OC*@<X5
zs_E}Uss{3nmB82EH-z;bTHhB=H8kVlEl$5lL6<Fd%cgcwA!<wZTxFXYN;#h;vzv*6
z*78q8aWNQyWvo3dNsff3G+Bq`OUY>Ym7k$CgE2JH-=DV7BB9o%0h{9@B*euo&*wN~
z42DMvJbNTa$lK;@%H10TWbX7K>U9zg;wIRK^`5IC*L2FoLw-u=pJ(oDtb_@iJPjS>
zW+HlcV0LqljXbh}54C46nSifYNo8EJDhi9vI(bV?8cp+mc4U5N0@-v`;T2K@^y)Vk
zhuJMr)Lr%4NHf9&63o0kJ-k(r*Hw>;;zoSPpt>w~`LGGJbLp?YPf$W0Wu;G_Jz_?L
zLzg`tF`57_+V(47rUK%us+zqpxqw*~q`Nn#(4bFGuxcYk9{GQN8XY2Di;Z>rSA3VC
zfllQ4xVku5RP_f%PPhD_K6H`~FikRs2@N)l?s#dWrEITp>e~v{e3<>aEr&6zvd3OE
zwva??Uk_=zuG7KF*KY>mK}O)CVlpL`CWcaC#!pl1nIQfKP9$j#z){O}aId^D>h-(s
zb*YF2e$9WDeeVtsh)?-+Zh{|K``Hst?YLt;f+Z*K6BP;?r8)l%@}Pfnr#oz=*x~oF
z9dUK+g;P9E?4lPr(1;<I(TDr&uzaq${noG{w0s!6^7A?~dNaFEkebg9$S6<k_O=1k
zy7&Ij+TQ7>gJn7ix7k5;wK3*|f&q-wbS&?iS;g4rC%<3UW(W7u&o-Bj>ceqUpOX4l
z|FGYOxlStevB9~-fSBz#J-B;Bm(<`hj>U#%TxIiTgIO8bvo>A25W}3fJF4y*rn3Kz
z%TWn7u&Zmqy^_|2DVfWc#;r>+;+gxn>d&m8v^s4U<)Z_coK)8Q;byAG$8SB&DXefL
z$my{4CvCVla4!6q;18<IK8-(D16d(pQ2JMdsy0X%Z1cB9|E8uWbP8S!W(D3L2kqX6
zJI*~D6Oeg)np!rh_5Ml@D<GG#ys2$X7~cOq>P6cewVWe9D`AWkY{g>#+`X&`dAXR3
z?dt`qdAZ@a3$|<!|L*v`YvUSlFf5GG-+h_t{Il!4*)SUfP4eALan*oQ$!Cv#Z>&;B
zKb^RHAdMZkhCgm}jZz>#p`P`I{|5Cxy52tzZ*V~51G9R$3l#W$%PRzaZ&8(bc(csH
zIH9NC^V#iXb=b=8P^^DS2NEe}426}ufZsVHY%N?JOzVc!ZvUVM5v-+-u$vp4z2>~1
zNUDQd@9b9(aYhJE8s_yb-~qQkJtuSCkm1Z}#-?Lun1IlR<tV)7g%%!Z0cl4v#N;ln
z(N!=*#Fu-x*=Kxk@nDVh@of^Uw8cLdmS6>=jgaxmYJRYB9lV@ZNCE-oSLK(J*`S=f
zHsAb505(~3j~_Wff)bx5P8JmoIP+TlQV>N5MAC1+91<bHpL0)5r+YZzyT|K;hH1hO
zgk!A8e5nSDVM|l)Pq={ivdA`ARul}iJ7#au)L=}AEw3z|2Oj_VUG<__3~Zf?XGVS#
zp*)APZ@Xj1x4|9~ghX*LI!jv!%^(6JEu6FTFCRE|k}c)$NWw1%zlhWBM3`4BH(r+$
z0D}Q^Cp1wCf?!nVqa_iJ$JOpLy(kE7AvKonzomg<_A1|TKM}59G8`Un7lQf!n1w=i
zT=~>zT$+2w8$ov0l6F~%fG7v<bDq5%2-G`NYiASTeLs(6*03n7pJq#&&Xb4p-unY@
zZ4)8-ztwXFiMyfIb8N7UMF9@8M!)=ZR}FeENu3cmBLO-5!ma;&6@juapJ^$%<H3s|
z<OYj9kXoDcgMC^FwoTb?gghX@<+^2`ESxm3sPSZHc&NZBp<;St2{O!ypXWAHmw_**
zLcb1=;o;5~9=7xbGVrO@^*C7U)V<f!J>|G6VAsPnonzD?!RycM((`ig@}!90Xe|*M
z?&N6q_)@^UBE2*uMjqO{;w@jYkl<lL|B>Rr9Y5-L2g#J;z}oJods+$!pj*i^>WL;y
zMux45^eVv1Bh$1}UNU&@z51kMCwFc>sqzw9P=pg)l9>8=GQ{T1<eatC0WE83XF3LD
zV930v>Y73Ze0)RD*?L_Fw@vO5TUQ1dX*)b2jSS72r&on6^&w_oFTYN&3UEuLFr<2t
zp`<{+dc4m7GB2>c6OG4%Ol@CZC<_^QRvO*w&h7<GGc}`+G6a}+KJPB(Ndl=|7DxR?
zsL*)gSCQ~-0vI~+ZQs;V15G}yK)ojbO2M-@o<ah|?hg^TtE~z@I%tnNXh!gW{JP8~
zodB#R>^cX=RiNw8vZZ3H5o{HU^}MqqfZ4H<ZYyUckomNJ?uxE4nDwPyp80|Y2g6#A
z?f-Ca!Sb%_!AN5`WgEylB!-8;W2qVw<Fc^M=g~A$Wel2sAJShXsQ^9eu9hY>X~=Ib
zSLkRn2I16lHfafEXkw&zSL4LNFI_Q_z0nw)o7leG7*T{r3Ef<$_X)!kPhd@8zA^j{
z009603|DtF)&Co}WzTC9F0RdWU7OEiq@*%RMiEi?R({HsQOXFVA|%<7qL7ev-wKhD
zluby;$d;{Ne?8|s=Q*$QdY$vUo}o+K%hUWo1_Ef6v|D?*K%zp&q`}(=e#qzPx++RT
z!Sri2$8Hv&o|p(Jmooyh%$TSDtHp!df$7i>4D>L5%0*qF#}LRTnT*}dBtg0$TUa+~
zADj28FDmyp1b-3wuIT}BIK6t^<%GmK=3E$p^Widtj|u%g0@Gr!U}5wUFFc1G;bqxp
zd=5~ve*0lPSp>#~{I{pFzGL5m5`N#;1JIctD@FN&Q2w?pz-P1-`&6Ud;gpR*8dGPw
zJjM^mW1a48)itb;ZYfcv%>ZUpJ%o?a;K0{nIxAcoQDRH)6`5}810PRL>-;h|{G|R$
zy3hKF;{U%8&L%m1@RYEAn#IlqA2vgKj%asM$Py)*XPxzc{cHY_$=B?VYftVjp6Q_6
zGzbpAl&%Z03pvu(k6GYAy331?!k;MV)c1}EeAfY!or$&IJqJM8aI^hw?gt7bV0zM7
zS_fKBPXDxWVF0gmr$K3_3QAHg<Fx!WZ8-g+7JH;Y2UK2HZW-RcO)0CZ3_jkd1-1@c
zE3uX|@Zfz;IF0ceET{f%X{xXmD10%hUn!)5S1vOyQTk0-hEl2hV1Oo=j=vYfuJ2<8
zddez11zlKT<`U0%zXpV77f#Bu?P9^omm<Tz^<q}nH>AQ0G@x#2;Sz~z8yik@>5UW|
z!O$eDXVh~tP)AnbQp`88*OK_f;L35#sVuLun~w~23|+rWr~hCUMV}JgW`1HN!m^9l
z9d&5`5ihgTwvPP~R_S_#|Aob~wRgSxOM-Hp)_C&j8YbOGap?D$!(5hMexwa1LBE#V
z0NAc!yx6*^UEKmUW-eSTv#ADs#JNeu)m3aVdOeNEvy9o#KYT<JtOme*Be>=LDrPG}
zek{_ng1y^PE{^<51RTmMfBY|B{YkoEwO|c1C>tSU#}J|MY#{1cT*a;hA4*6~_=9PC
zR~|OQ5n(we%ggS_8m1AJKZ@Po#NK!+T=#pX3Ts9VeCeOoFj~`|IImaRSjU^-Bynw3
z_*U=;SLXLm7xjCWt%Y5zlg>-)VU`M*TItB^nf<~1Mm<LuZU16{_RJ9zJ<1UG{9gOT
zLmQZf@ZAK~KU6@zVfopZTNx@lnsa{sw~4jd)LYRz&_G5`YJIzn63h+q3CvY*VKwh$
zr0x&W!V7bwu)HiqNXUx9scP<ElZpL_4A<$wHc))}?}`FMt=WD4HNJ~^5?)`}H(&(P
z9Z!1c;|idI)4$hRw~w8Ox8XS<&jdfNU6Ay8Ef2TaoCvh;RFKsY`Hj<%1wP)Fb2~01
z51~dX)berEz+-vuV_`HKP^o?qwz?+=7m|u_ejPM$!gQtgJT)gIeNG*bWtD>_Sv4Ia
zRXUK3ax^JE!v(4#)i+)y$wFl2$ON&19uhnkaMnHCFm&dO%y(H?2q|wAC!A-5+V1b>
z>{of=iM8*=-Btn=j&~%QYBB){|I4hB$Oj>B<?3$+5g=W1Z+caW1<n}y9aR+)0B!$j
zYjte`xN~_icKpW%=k|}*I4B9h&Xqf?L>2-Jrsb>Tba6m*>fO!1S41G&!gO_WSq9KZ
z(x|#77Z8j3ZkBx)1JX71*zhG8IMr`K;Lqa*OUE9yZX^y=KBF(SnF&DN$t&De<%MrY
zUr1;vO2VIK*^G+D1km83;_Dp6!F$Dpy<eqxn116vwvkDIEGD0Or^@)DSoIQfzLhl0
zk8W&DNXr6O7jq@U3qf$RTZ%vP5100<*}Lz9vhcyXXK?nTFl_Y@o(vDj0@Yi)Gk#5S
zaJGx>-Fa3q2&=N=ORSZL_k}6F)${V;fA!P6zpgkWiF{3!E>?uiF4GKtJ4Fb;X}hx+
zApxtC4GsKx%3!Ga&TgAs83yFt@C-we;2dI=SYfUTx}ydUR9RKQto0~a-B1byOiZMe
z^@*V8GQTGHFOEJevgj?9hOxlph=*coARk~cPEJ>YBd<cu_Xq??Hd_DnU`h?D^_W)a
z<ki6{Z`}FVQ(5St6B*5nC4p=IA?ZIq$<QBNAU4Y+5381uQXc<&{@;zb^3E1bc-s=>
zmf)rUGDSz$qqWsRddnw`(5Ve8)z_pcIf`(0nQr&4vN||3?D0v=>VnbB5i^x{O7K*r
zRGipL0$hJ>zc;%9ki%1tTu4`j1V6F;#|k8vlQVKz=LH}N-Q5f~RDowZMz+z)Y7kOq
z^re;85OSGqrbIGTfE^Clu>4eosMlmnV9yZV@BJ9kd!+*RJ@swPi<M#Avg!a=lMxIx
zP>s`FQh|BucL^i~1xSwf{gZLQ7(U*KX3_cQV+xOL7oR%;emcp>Ne>#shEA%s^O6$i
zW_;iz-@!w)o$S!GxCvB;T6_C`P=r_FmwvfiJqR1tU+%K%n!xyDmWUH}3Q!d(cw$IJ
z0P?w*j5HNZKy<&|u&G)O-YxL)F5cpTwk}?eu`OdT)^UGbwLyR?18E^DX-4pyJS`CS
z!Wd{}&rV2*$Uwo2$yK_#EiBDT`Vq|`WB6>|{LxNb3Uutxoz7Yx!|47y-%<0~2;Pgw
z**Kd^!jvGp#^?WfDKWQ)g*+{dfL4{IBL6>eD0wydF#5w1CF#O8PeYp_xMjR9Od*NF
z*HB$!#Zz09Xs-}C??Z;*VY-bSt`meyF}(v<U;L%8`(4VDMF1y+KltVc^MO)JPwOpi
z8q`c%;N7SXAe+AMn))gaBvG#Sjozb0>{kN|hr=)^V0`#oFqadG4Rw1teCSY0)KF4#
zoB<S1Y&4PZtiT!eDShw<9g3r>*2Z%5A@K5(Ii3JU5K(z1*0W28)`lx%hTiLe`m63P
zcYRves!;Pw9Hc|-s!v5kf9pb)wrR%d=sxB;PP&78K!-lFd=rZj*9HF*uTARNH?fAf
zxMWKr9Xb_npBHgf2THV40>=L=WBM}v8VxP9NS*5Di=ZrR7_vXD`I3DGqxmXwbIXMm
z2|wmXeREonV_f~BwB|b|LAh)zMNf+^=S+#=47A`_LNI=L@)OoltD7HOMT3MpxO1wK
zH9@?r{EqmKOv+QguQ`P`XpoOzcZuD)2G}~5^C!IgO!-{oep%jy2JKP4&8FFFz{3h7
zme3Q!l<)U5<>JrMpo5oP2&4~W*pc)&cJ=cF<x)F0N0~1T!UsH*`#~f_8E$*x%kD4A
z-m}Nu3@>TWRKPVe-)HLZE<q{1x%oHcp4KV)0xDW`pBJx<MAacKtlr{(63djKoYAsd
z{<Nsa#d7yq8VMF!vgU(~Rw)#<!W&_1bZF32LzG>F1cNdwS%nts6pjN^E;pL#kl5uW
z{7kkQwEN4%`dV#JuEN32xEy+PC92UvMNthLhy&r37F(2zzG|bk90sKRLGjU8H4$<(
z;=MYob|}s-JKv<YFrsgRXn^hn5hVD_F62AyQA~HMuB73Z(DBv~pQ1@sxHInZdnDv9
zh1YPiIXjLS5qzKiTDqwUN@7oBJqD-{OH}V@pCT(#jB#CEmsEwWPG$>RS{jt_`%`Su
z4jbb1w@>SNpaLsRrtwEGTIA9+a&l;!1C4pK#PR=9hWdjqH;wPpp+64oI&b;7(4@-B
znImS(!0^6d`_vXa5>5X4>ZCb08WMg<lBiIE9JfzC_d^+xweBea&Zj&`;^|+OTPjK*
zZC@2DD9(h!5A!y(v*D1ec5Y)xg(8Gyn|4b5WJb-rUsJ;~`B38?k<0p+BB+crT5h$o
zqS_*-Xu>H0R9e}jf9u~KCwSNBFOIOIk%B|bbxJ}=t1i2)=Y;}Tdp|8E-{nNvBcke(
z$|5LNT*1XLKmnEyPamCo&xMlzusc!PilLMZ)ul)W1u)C_d$xs(2L(z`x(=KYN4vqw
zl_ItZ@PtkCzSnhLv}MsT6_qG~3|*6K?7bCWDF4rfD>Wag&6_QKJS~ah?S6dtS*QR#
zyLPJ7&-hUZV^hR4ODUxE{xaVPqasL2wc{P!1<_u8YjtXeG<spsx$^a%BHVMNNfI{`
zMs!=<w((~PsIY31w#irtf(HZB!jFog4O^%0@!PWKMlS0vm7+3eNFRB)_}@W9pM2_>
zW3D{<{VHzvz;PAWuTfOE`Ar<j6Lk``trSt{igU00X;o-^P;rQtS`r<2y_uf8tAvso
zW0NBYM0mnAw5+9#M|2u_8f#Bf(1B8>@wXyskmC`sCmk$>29Na%k3CRD%1p!2Mw%qZ
zCf)obiKJ1&8-q|)V<P&<!qJ=?pblAo98LenKtMRD?pd8dBD&$WySOw=2JBB&j^<%m
zbdX9Z{`CnpG)qyD406+iIh&iRY1idYt=sfDwp2A_))F!2!K4ja#V5C$p2(v?{)8sI
zS86D$%BeQ4Q3sk2U#-^6R6w0C4su(@sv%?P<E#4dda#IJ#tDQfBH#Woe|v%&YMKwp
z%spiQ9Ln;6?-Z4g-#({>&MhJ`6X@&^H~^q-PCcTOuY{hMJqbIUsfxlWqk|^>0M)b%
z&Qm{>P>uNbo;I}#nws~uZBH}=rF+6EX5W>N2W!(Y24_W-RNBYmscr<+p{Fm(CM%&b
zL$AuW*W^%*!_`NMZ;c=@^I`=9ixN_+75b`gBZFiN%fByi8^aSh=X_C6L`O0rBMqhT
zsHVp-|G_b1aJ>}ljMr5_EhcWHf&GKX%7<(*dEOY72NvG-)5@c6@^1};Z9z23D|kQH
z&KQmr+1GgI%Az{%cT+(Zc+mmeOML~RG1L<hY^L!9lz5n;sZ_&`@He}@r!5=7x$4BE
zvkB7ZQ{LZxr)he`t2P&1nPCKL1jY-Ii+ChF#{ZbLYL`NO{_^k%eIsD^tH{thE{Uww
z;%zPvmMA6T^Ubwi41p)m%vq~M91SwNlo}8BQ8HWgvG?Z;VI?W-PNTjUQnU<lV!Vy8
zm7`#Lc^2UCv!V1fJz;b-c<#(2modzoFXe)uFF@Uu3{s?<0AlBFuFr9t!P1C5sa$&)
zY}?dX)KufpP)%&&RQe(&5ENE6iNl~|#XjBDhzC6+`Y#xLUd9^ROr=cK4PeQFM4sN|
zM5HQ@q8GC(*rjAA8oa$e(1&KZ-ucFcnjEW3SWd2Drg3g8E4TGPKcJ(mmYW&vkb5pB
zkXA9DOt;LhmAdfywC3845(eaYY5%lW$qE*1TlDSqvJR+-x&5epPKzkVtW-j$m$4((
z#x}>)bYL&Dls|r*3Pt+Sy&73s!mtcck+VVCV3j-)EF-Z;;R|J151=e!BmVJ+W1F=g
zG~LKIYHE|x<$S7?JL)&a?KmrQQ&0;o{mm*DQeLOrU;XHH`q&(Htl?+G!c|Rhr*f3Q
z%`H=$KD;R);b$-l5t`-5&l*sBu{`*k<O0R^l=MtL-!xWKJpPSZO#@E9vo$J^o1p|#
z#T>|2nZ)jYtct-uCPT@Y!@RD&KPk5yDnIO8o50@m#nHW?Bf}K~NvaIqamw1j-^|&G
zag5_S1;TvQp>NABMm}$dGAPvL(RgbN3s2MvvHL{=ZXW3a?z=sdx^MrL5}tj>a!gK#
z3p$hF<GDq9I^Hi7ePdkPPR1~ntRFp_KBNX?Ii-~rS*?`j;i#E|D}$JZGgoSZgBtj`
zJG;IhzNg%%)%v}YHh^jKZt-}I5J5UKh@<;_B}J{TftdfOAA9hGUp~N<2p@fpCYMYV
zP;4U;eky<O!xTPs#eA7p1&`wUqE@1zl<XY_-vRGFEVh%~|6GtNWO!E6sIR4C`5$|V
z4j=8qexIC4WMWc<w(Ml@w4qm6?Ay1G9=rEpWh}#PKAI}fX-5=VTByLtyhYi!oBOb2
zj!?U|=ar$Nz0jd!rVfj@hl_3(`mroOzSNRLC8+m`>?$yPk9}1a&Nnq4z|KXdTr>Ej
z2s#(?cCEddFeK)rx^`|58#Wl~(PmHt?16gm>YWxW-gKpFqh<(u*GX#-epmsN^QEIs
z<+Nd^elpqQ*^OW=X9A1o@5;me)YCAN#!ieihdNM5YZRl)eo^EyAP1~Z>a6DWy0BH1
z6K@J$jbS~D238a~IXF};bpOPQZfpq0rOrGxj$KzyKlUq37H$>AOD<jhhB=m|aNjqX
zz*Np#&@}WDK<sX*q^Ef=X7_e~leOa~R+Gw8prT2DN)=jlXY+n63V){hYs3_mb-T(_
zBuxg40uQKVUmL`h>*KH2d;Y>s?IsmmrIrCnCru0WkHgr!j>&1Qs97xUM7gra6=^s@
zj@<LL7{#t9^`;&fna9#_x9_uzNI{8n*L7Z|aV#dpxG~dr5fds6j#0Ccg3_YtQS-PT
zSbSH2`boKEETWk1dUPuu+HSn@u~PeqwQ5qR4pUaJMFKN7y(u0TawjYQM>B=3;EUIY
zH`XwB_msUC&63a{R&8cS^$QE}jyFm4{)3$xEgcK{cdtuaH<C~z&SEp|(HFfQZDLL)
zB;UK=B%q5~y5o7;Ja*RT(x&a&Ha4kOH8<xX0V%!S?Yl;c*qdv09k&wqFzs1~m+w}^
zfxu|-AXZ=*i)43Voz<fP@giAg$yjlaOuQp%R<VM0Jz{C`?W2ZXAJGTS(&AvQ*TS<L
zwubdYBrByorG?23=BS%-2f=AkNmwD^4>po1RY8+P4=qwc8AtoXV8({|r%2u=mikp@
z>@$TC$fw1n_*BF|>3=!=ek?m!iKpV(JQ-%NYC^_hNurQj^*ue{%^s%cv8VR3lNAyf
zU9ZnEiozeMqbs+qs6e+Wko##p2Urz8^STf(0xc$OuA@uT(6TgiY&?t$HtxUBn8u4h
zb^MdOr5akmGeppDnehOl=9M<vFT&t{>0ORNB|YpNxhD9*1P6k(i}Ht4g<&ed>U7yO
zBRq?E()`SaAMS|Hk8_3!!}rXNH!0T4Q1U3IUu8%TN~teI(nShGq4%%+$9t^sxTt4h
zKU@U5CHVrADuhA#Vy|7*0tYl%@nol7JP3yzt}ez3iomerc9n247qlD<y7Smf0>*;;
z{Y@%GpnxT-5S)16W5Wi^8#+8JS?<#=q=|z5!?P88);QRu`m;ScDFuD@d-LzVh{5Sl
zk*lr&{7@oY_aW`K3<UJ{$>fm5!A&M;fYd1n*YdYzNy2gvGG;gUT2BIWi9y59>_y-t
zF0k?RWd%^(-s{tek%WXA1r?m|LGWFwm<%0O0{uscl8^9G&^8~Fc$`TBj{Uy&LrhH-
zta<Z#mxN>>Wf~JaoGA$vukq%_Aw<Zx_1+i{mW8f}E5Ch?OM$gvLc~I&8sLgsHSbv{
zz*{=0(xaR*pd(}7)<dlhS5Dk2^UGC+ncVKLPCp31Ir1lZUYZQeMUA`@21GdjyhHjx
ztsHO-%Xwav(10(TB@aZsNx=FitW7LY0m^-IKfC_WfQzZq-)w%6fv<H;d)z?@G<YAL
zjJDB)D<64s%<gKzf_4*?7@Z1Cgj;=K^U#E}ANch6^SZDt9A!LWpbF1w*>*>nGy&`0
z3BVsWfQ#o=)4vX?!WEJ`ubHX_3~ALlGd~9KO{Nb!c$^4v)qKbA^{a#9{Gy29mLYHn
z8HsG)C4x-$!@71R5+su@E8o>HhHgF|`Ir<U49DOd1A0^;K;rvWw2=wO6?){RT_ghK
zlf`@CB1JgvX#LEG>kvfU3u2btQH2tDw(Gif1TanEnY^2R2tpV*U%A++0*z%DhxwWW
zD4(Ua&i!!+E)oZn>kg>EyS~K7>Nf>p|EZYkm+3?BB-*cem|Y3T?v{DRA2~ouJ3`N^
z{17la^`H0dl?M?mLxqTodzc6BWe=~DhrlvaATZBI7O3vj2iDO?V|N`oc*?s>z%1y7
z&yOu>IH$|JJHNa^2^DnU%+@r4*A1e!S;2T{H)%Ozo<fh(YB&Z&9vVY-TDNHiodn1y
z1PI#hv!c80TH$=Z{@qt4Q<vlpi-Pgz))#;ExKKNldF&O;2;x7eO?V>#7#s5F#4Gcl
zbt>iK;^~Hv^VGUz<pwX@#Jin;7R-xYyuOf?L1hRFk!=SX6F4FKf4<IghjA#ZrNoKg
z1>iZ$CdfU;1amWe=ia=*A<YVdB>04Z|EseakBn*I%mV`}vmqREdDekPpA6uv^)KD|
z*lp})?edQJHykSHJkarZSRZa$Gw!eXFJfc`Dk*^y9CA3D&@c2?54a;<YkPC`V`8`7
zY99;5A+|o_6=hXDpc7cP&%4`12~0dRRAGukvms0j*<QN;_9-D?bpI!%>0;Jd#EU}{
z!POg*?{uJ(u7_tYbeUrNxAVV--@J%)X5h;`b{!Ck*Bc=>Z&3a|TrIfT%ZvIXhiT`o
zXhSL;hqAc$9)-WXrrx-l7s*a~+Wpt71!6O=RL#w(kzI!UtCER-IN{;9JP&Ju2jem4
zm~2{9DQFkr%Zfw#n^EzXkR}B6P{JEO(IXXs#TWI*aVX`)!cUx`CP?17d|s=Q5&hN-
zShszSL-~t$3Kd&5!2Zqdj6*pSG7Q)mq=@jLn1^Af66`c!Sv~v1^lcVI$AA8w(Mvuw
ztNZmYd65h)w<QE-Oxci4ZruEVQ~b!~;4@IUONLv{pTEAR;y_MU531q$1<-!&c4CGa
z8OnXMwGW=<M9Rf$QVDAUX!|wcc+IFflpC^Yn`?6+gKU4I&b%Pf3e;HooTLt{KMK!+
z5H}hLmhb($Cxo2+38UK9>OgU@cqL5DgU;t~rR2$ppkp>4^*sgD!O1l<hqB0nBJ6%=
zb$E#)cC*;|v1t+{lpmAno#sW~W4Hv@+r^M*Lbks~0|`RuACbSz;*dgiS!S_>IBJ-q
z`NZ{%1d4uo-7{N!D5)(}D)^T;I-DSPM=^;6&m)(KqI?2~LR%RxS1p0;Xz1!K6G-sp
zb``xW2qIDb;E0w-lIR$YP;@$l1O%;5jp2bpD4=a4OfVRa)Z%LWC5lN<>%+EYMiE9m
z1~ZqVE=ZxHWd}^tzK|d(izCR2R}@j_u8wk@mPS_GEe{Ln)giphTxQ!}42>t!6dy5@
zLHq~5>nk5s2bGbkezmEC$jiZ#nyg1ax|b59Rx;JW^h=Wi>EHhng46Lmr67yw`t7!!
zFp`1U@3B(lRS9G{esb|4w;Xz#?tUucCK*Ec6?hFbB+=LkzTntzIdmZM22qM#17-@<
z?(pwQqNha?kL)Yt(FK_I+9}e2&<(TSga$k^EuLPG@=!qU65Z{?95rD_*x(GqEh)4k
zocz9fR{@!d{~QSw(}KMF?q8P;{^^N)E#T*+h}sT3j8|UJ0!NZ;_sFs|(qOF0wX9S`
zRW_{x!k@I^y5uc#M5+v$(pL~t=~hIiY4OJozSe>6AKL3zRS0NQHGHkQS`q1I(w*^o
ztP6}er_;6G5YYP5>57pniYR{e(s2I2KZx4Wz9dv!7U?^N=kU)epy&1$RqL1Z;bCCl
zNkv~-v_oU3)vTg`lIsiI4j(muk3s&4=`UrG-3gP;6Nd80*M4m7wh#tvRsGU6jk1XQ
z>653@csVrY(z)B$hk@0a)`mj8EHVgf8F)TKKtE}@+BXaUieevgxTVM<pB)|4b4><`
zt;{oL-UgU(<z1|_lts3?<l(+$DMWwCv^A;bU;Xgc%(HU@RG<Hj=jQo;eNr-C$~yt@
zvOF4p#*={Z_QmHaJ0(y??ep(b+W^0p0?q|=$e`Pav2W%uaa7Hg*l$N`2o57<Tdcw|
z=mtv=n|7!udc!_-L}?E|LQXPr(ncCx*jl%x$rD1ObQ%k{X8?k%uf1o9kV4;k<OH++
z@*_Rwh}93R|9I{(Wn|{!k#U>Wi_@t%w7=ef{4)V!t=}@ds+UCe=HV`OK0GMAr)f;<
zGC*&X<4^WJ34~9|e88H>g{If|zGV^t)a(qSjxLF#6WPJE3kw`*<zi8~%?}JTBT{yv
z*u>Gfx@T6-`fRA<t&RNu>@dg{OyS=?FNP|bnFAY`S<nqJ0c`W50kr!$uTR&CpxlAX
zuFEHwP>KIL_X8vYxFzm26{#qU91cAYOWtQhJCpyZxINK__w=TD#pQyCohpX)4<{pP
zX!K}|pwR~donldcTLIKwa<|O-Is+1CeyWk|sRt+XRrSsI_z~W5qjZwQ@Q;7&deRqN
zFb}^|v9pXrJhl&WbBPQnA|^b}SXUQJB4#WnXL*tOJzT!$Wd_7yYBsH3paU;8W1}{y
zcu|tuwkY2S1Nwb;tL-mN2g>I|Ui6cAkjJHX-v^<LXvqGt`h2uDaNu5ZE<|u6t6u}W
zZAT8Ews#p>C-<~~W<q``;5QfA&SxRN(qTe$DQ>nw{#wv|%XRX}wSRMxW#|x>B{O<e
zS4K%$)dc!GmxX<}xKLaUk9JNJ3p(m)zc}Hm3CZHN+PGFuG;}dR_scLVy0Lye_5QX7
zu+bD4WT$eXN&P3(HCF7Xbj~TT>$V02>UP{P3FkyV-iAB!Omd*x%VX~SJQ{GGCu|Q3
z;Y6+@W=1h>oXFcoTW-973@?vNkmm1kqW=Q`0RR6Kmv=nX-yg^Az4u=Cn%B7Zy7u_I
zjg~YJnUxkAR92-_BGfkxLXuHYb|^~fzLOb>5>g^mqO7cB{QUlXpYu59an5<1_w)H;
ztY3ef@<<eKeSO2LZDRy9YyGlk6(V?ny*BMnp%|KlY&|g3$ADnnib%^pBG?xH<6d-y
zICizRn<qsx;Bk}jDH(fF+@m+Rc)MK!qeo*xd<+;+Ea2HMktd3?<_)1DE0XBso|F8j
z-w=ZKHoX>66GOJ*V}XwdX-xh%rpb5H5FCFru(Fqkp<~?sl^sbkD7Ny<tk>NTj)gA1
zo!ugi>&q^We^`=5x8rd`)hdQ?B&BYKn^OXB?FO!zQ}Q@H+gP$;k`7&44y5?Jk-*f5
z@r{|HiujB7##`fNI=rhF;w2YK;{DXj*ZI{-=$73myRn20EVV06F&R?m86s8w-C6}7
z-#QoXn?VPMt9}+)InsDOwYSPfM-_99=*kD&q{IG&FV9ZDl)-&X1|j{*YIs((p?Xg?
z9X3-~6FH`2v3#fh!mttv9rWau_f*m$by<F5#8@6V+?$;hG{_j^5}^?PnGT=w%7t^U
zD4>n07)Pz4I%dCAnVT0iglzAMuI>L6vB_D5p1DQ?i?167b*<h*vWjp{)p2DsE;HNS
z=B|mox_lMpWrpB7`0X?2c@^|)+)rx_(83$jR&ol;tM798S<K0;s;H%Ykk=(d8_UT{
zJZrKTFsr`w+JdBpe6ryJyMuM`qk^`jsj(4QQH#GH{HulsINYageJQBOu@ol#)d&<5
zxycP}B<v=o#HX3)qOC(h{e>)JC=x14%giO?&QFmi6UKEh>ZiwCLa+%)6~;F9hO6Vt
z`(574=kzdfY)j)gcT>2-W}3upqk)n)Z0z6t(8I~7O!GlUGce~@CvRES!0B67oIB+7
zG2wzKxA!J<2pq^t$uH2vnRtHT590cGts*q~sjCGrbu&0-?6uG{?i^>sTRkjHE$&<1
zWeGpWhsiSaT1YP{i@CW`4^0-V9WMr0!OO6)QA>(8R@%mAPF&E%uzU6Cn**%j_v^7g
zD@U|(x|AF<d!B-ly3gJ!c@p5~T6jArNgLS`tFMKu)4|Z4&EstH06+Ks9$CLyKbu{9
z@KLuG`cR5A+9LqmZ>DLn1g);qVQ;Nzqls@+M6X%30=x(el=wr|#*js)l#iFxu|up|
z^p2nn)Qi>R?yS_pHIb}IHMJzHUug~Iu(W}oj6=8o)6&8K-rLAFuZq`8ezPgMug))9
z5GaVyM1@mjGTJm1Y<lf4x_P$^@Sd*K&wr$WQz{8F<QWBg5YBZp!OI3dd@bc*>sH6o
zoh3CxPh~N#d@R9XjSZ;g7xSGQA!FbD(aSO~r10ey^>R?Pfr<D@_Q?qnJ~;DN&VpY8
zmm8Y9ye9#2R)*DdCe-ltEM03bR}^0dr8cHi0tB#^C*Jv`ira?N*|uv4V^)Nzz~@i^
z$w@Woqa!Mq8Y-d_o57Endnel_^#DG%|6=UwQN{$VrW*1?9*pIZ85yi0Al-EIz~Hzd
zc5wu?lsR!>jNQBbND=`@k~UsBE~kL`hqHNagmYjrYvz0Yv(_-uGa{?7Lk^XRoI+7a
zcKlk;t#`b~3M4h}wKPAM!IZ59Q>uz=c%s-t&52<Jr`P&9Wm-rh`|(;=(etdR@NQnP
zEx{5_E$Gh-bxUGaVuR1PIV;MsT2=lSv4C1RF<D5KKsn=vQ$1#^cqg!LlhXzZ(5awB
zH3W;Jg%r;^N*F7S?D5~0nr{y8#7#}qj*1~X2s4iT!HU@tC1UEr=Agv;T=33iQ7rb!
zJNoqk8*Zx{IlLy^46?=R{Ja`P(B~ytIA}9Fo)QnGF$PURBd7kSnTiO$%M!LqG~+;_
zKc!<zE~Zd5@t-4EOBl&Mj7RnMoY=N9bzi5!1fqkE;jT48xLy75zf*^~@X<-<$Z*00
zZj^eOHr)`!xo}l`-ZF0VjQ=l{RBa3rCko?bqy^FU(p`~gQC>6*$P3<NWel6$B|Quq
z1W;!u&yKQ7e8{&uwL$Wg5&S7j4lukYfbl8%C1WZAIN08=mc7Xc>|WTu3@Q}B3H}Qr
z67K}j-+jqLws(~a?$4B?z6fB|rGnW5S;APetoF6|C<APh8)*(^g2+6+sk^ye1SyH;
zYH9ooc)H_h&)73TT<R+TP(ZK0V5@5tMY-%-pA`xWL78%~yLX=uo)oLBHvTS#iVshw
zp5JN+!7k_jG#LxyY>z~nqo@QPw|&OYT%^N3-iISD(jxfy-Pr-yDv6$UdDjDr>2NMP
zxuGLh1fxdOt~uS4!l^^$JKOx|aOKa`P6Y>1+|@q6>xqyIdO2AA?a-n_`5)c%a8@xK
z?mx(taa9(>R&M*sOwph(CUJ6Ys~GwRDxVaf$m5B{abw3?8l3FxY@06<$16L-*M9k;
zfK!?aiDp?e*qB-IneCngo;BWmEWc0*t=B$!QgeX@{<otGKbA-$J7d_`%|Qj#B`h3<
zj?=)TCgQ{Qb}4KmK2*AFRK>{`Vm}{;)1bwGbK(@A3<g!L4H$4&!x3(JV?Z<w6wW<#
zZ1RxBTJ7#M<6|Ve-PG9Su)42a_!+TROgSu5^|KX9CSzHc#L|-%8t_KkyDDv|fE#3Q
zwxrgmBki|vr5ZmS_MCPu5`UwJ=`k!PeP%SUYk@fV&zlamrJV^ELzL0^Zd;NnMGH+z
zeA$X$(P4dT-t^~W6@1=EM7HhJMw*dKe>@n1Zu-$Z$q}k3z1b_kKS2lk+D;S~bQnTP
zprO>;{c33N;ePb^Lkd=soQnI-GGP0`108{GBup!JG!8>ubUtV-dS;CgOw>7U`Mi#d
z%M{<ol*f9wa$HelgPJk;Q`mmbn5bi(7)#*A3;L)vO=mTiGJ%@o6(2-M8mM^Z#9$W1
z0Hdu!C-x|t!u1oyu`HaLC`j>WJ8{bZ8C)spt>$Lnx3N}U`=cf%_P2N3X*Iy}xt(8p
z_L_sHm)_9rG%Ylb%av`ZGC*ggAc3A_3#ilXmE2^njohd9xrO=|pz?zikELcyn9f*V
zVbZRRWsgg<lFRgQnR>>pXweG95-%E*Tk7BwmxC?(ReJc%?XaYyDgiCY!ZRgNI;i$;
zHZL<=7c+m!Oo_?@WaEzC%b7aZ5zQO(YElOy8>?<lCIX!Lmf@0ceU&#|s(vMOZTxp+
zB3*D9V3vDrXR?P5o=D06sJc!Q_b(Z^c5kx*MWHW(<uls2JlRuUV5N>%vl?_$lWpMT
z(ysnqe{H<@aO2h@brSMsCRd-Xv4N#OBFWn;w9wn?efv5gRn%rr%edQZ10k<2<b@1q
z;+*QIj#fS;<l7b}^Y^0-m^D`lcu#4d%9Hf!c|AD{i}99GXtV*6U7>09s5+{RTehyG
zN}<X`GKY4K4R~%eDUIwP<KF$%>OmgjxcSk;BeB6YaO!wu>)A3AD$DdoMu&@F)<Ea%
zQzIJ~C!9yzE~#OZ1g&8EZ+@iKvOhN(17LfyPg!xVDt?k~y?VBg8}qz>N!e!tj3)lP
z;%1|Qa~E^jKa)8y>{&qLm;=C7L!*Spo0M=as@lcCffY|2%KSb0jevle1ML|G3K;Su
zRQ-Y6GLtv@?Zhn_0e2q`J>0%}p85tyHT!1^%%RG-Cu<_C;Z4V}D{&4o_?#z~MQz(W
zvo2d#pIK`KImJVP<?&MZYI73{sdkoGch6ouP}m9>Czxp-za-G>@ZXH}zh;<=l*wye
z-j;BEL--}qDlfuS`I>_t&M*@va#`0FTENke%ZGWC#E|@KQ%m#Q43oaT!Ln?{9I6<~
zXM=x<;M_j;(t*NRW)e?z{9iY7$olW#mX<1E%o#rumj8T?dEVj5QP(mvkY9h7s@o@s
zCHXF84)TAQ9brS7KSj;pfG=OQkevX|(w<2TK3!mbWAFOh7-|aDi5KqK5AvbCjF-6m
z)kWq-Qs3s4UK8j&yf^exH819v%9-3tS!P<Z6-{4rFoBI67d!Hsc`!ak??}Nu7ThqE
zA`<<~7}mRWBwrHb!K&`!8+J*os8sQJx|?bYrk9gWZ8*cd>SqTIEq1b@w2;B08~H{c
zPv`RkC2n+=FlHOp<G_J6HGwr+Mi9_B*CaX2g=;Tfm?*i)i4k{R`yMP{fMM@>US<y$
z(yAks&&qRSbLrpCY&ru>4o&QcndU-w$xRQYAMxPVO?iB$Ul_tr=v)IggBumz-woyS
z=fk_n6gl}VhR~YVbl4)58$)?D^~6jBQ0ny??mI(txZJ#_=YR?iW<+cD-Xja)tly?S
zIJ4^cGrm@g79QlHD2%npir^JCS9Y2*9g55!{JL<97yYLe(<2Q<F;)@^Dp&iz|KUl~
ztOP#X_l}o`-B%1Z{MVSQd4vY0v9@X4x%?>iS96Z@o;Vu)5?mZmr9t59S<=M;0W`>1
zvawp0z%bPlWj;Mrc$+0JZ?wws)=i3Qe2+>Y=iy^%%4t-v=eZxe<*hKv1$z0BR-|z>
zSKPY6mkNvIdlOnOMevfm1fN=-EOs}X$QGbeLF>ce*s&5(ByHQI_3?;2?spEN)$&t8
zsOR_7&PQUn#{Eot!gfX6%un}!)n@>iPBS9)ZQ^Jj?V4)7Lm4}@4yw$)Fo09+0fV<W
zByoeP=h^Za6)YO;al27z02y@|=crCnsQ-XtDdxK>E`JUd*xh0PMZex$p;t<y#*?Lb
zsvHS(91h7Fu~6Ynx2KS{i7bAJ+9LhIn~W!RISfQmsPLWD<GM?`9Ik)<cI`r;I-c5J
zp#CF(3ZT1UcRfY{vzWo34)AEA9_hdGb<e5b^{Q?6Iu|AUx3-~N=#Unwh-`SCtVx6G
z*%ZAr1r=o1kTR%!uZ{XYeMy*41KV8^A$fAD*k!WpV_{Cg>aXhlSJu<v5+j}Is-}k7
zuB7U&R9&QNwwqpNGlXsY?Wb?hNEq$3<z~ie9*GovvGV?-A&do!1wLOxMxMWsb7qPL
z*us78>!&viNbw!9IpU>`hEqom|0hkwjr0qDiPd~0_KUM9DNqBifBZ}O6i3DA1HCzC
zg-zhw*<>%*lbX14qroTkGZmZo^CX+xOrbrN8KZwf3qv<?^V}1lp~8aVD_s58)-KZt
z0{gU4T`xMSR-A?vFBF1;6)oV<%O2@S6CFhJ`=Td*Q*rlFMy=-+OHgSp`1kjx4$9TI
zZ0$;>qLHDlY~qR){QgxrY#c^G-H}a=!$MRPrE5`OF9B(X&iqd3q+q~iYd^(eecb!F
z;lULTfOQM}0{gji(Ze8XY5jLyym0zmq2mAj|C@7U9Gfm)DLTZ~_D%<7+QlEch1kG)
zC*QjvO%!}6$v9;it%ZMDbZHOzY(T);O6r0a1%<EX^!EvBpu`Qn_c>HsnEbfY;9r#v
z&hb`#4v!|GoIo)Tb-yhPSRXq5epDNS1a*%bSX9BoBZvLM&f3D-_sv0<{%GNkk)JJ0
z5k-uTD@^EGt!L%-(O-0H;&*;M1^pv3*gh7?nj2sX*Ze7|Pw%XHjLt_14+9B&r_N&8
zYh??5G2a42Jk+t>sO(Mg4iS`79HP8uu?2G_g()L;G8&7dSQ-iO;lfAysfounpqXxX
zO6P$Zj&^)``PP*KLyjG24BKS`L**&_R-08Z`@%UZc7+vY{G;Z%?d&!nLP_0QKckG^
z2}{YAPIJt6!4-u{*#L9<QeHUhQ^dIVC3}1FB=cF)=>BgO0Aa7gADd3ep`dPQ5xH%c
z`QuE^t<rn~%Io#s&1K7AhgG)c`<}1NU=E*}s9tOE>U_nw>9`a=SpHP<MyiK-X1?f{
znwT}TY^hbc94>*5a;Eds;vGy~+mz7n8?3;M?cVVFEHOMZ^&s|>Ks!@5%Ce_C#u98t
zxiu`OMUcMM+2nL^8<Y5Z=!tB-1&A!N>1huLVQ<~&oyC@R<`%Eg89#mtxSb+5rJ^f<
zMsvwEKBXPZ_gzoxUb>n?TkW&*p&DLnW$88xf8EVgjQFXfn_~vvyS;Du-r>ez^OdH+
zcfHJgr7Kyfe@($6E!tbBo)cr&b$wWF{K{nIe;NDR*%V|bQ-OKf9H{lW_>9Z=5c5_@
zzde7c33y)1Ro>9ZhVg3k!jX={OpCUv&28c)V3{6XdHpskdYF8hKl5RfDf1fB<s*z?
z??=v+H90JJcCf+S<NP?&@62bzH{XpQCu-tpN5u;Bj!Q@yJ#Ug3BTysU;${Tt>-P9R
zKEBKx=Z!Y}p7n=$aUl5a;%f%X-!zs;i(g`f848-k=FKp3_kWk)XvcuBKYl+g8eC+q
zkoNC;TRX?}dX;=WmuUzd{ey$O=N6f5>0fs`%=~56WY>LWUG-rh-m%!8or}!LpK+|l
z){D#(fqgdHYU$9<SxShXTx6#0&HEm3cbQ2wri$Nmq{ED6(#x{eMdspz==*n)Sg=%Y
zuU%U=4erl9biV1n#N0OVRM%;Q6;s@rDwq9f;Hbe~<0iYzOiLX8xZjl>+XnmE^_Qp+
z2g@F0;T2|$sL>R5b6|YJTZN-HsK7FL@Y1*f3tG2D7aj}e!fo3*G<#`Os8%-DVQpnW
z@zQdmItC9mwQ$I(=NNz)7iX+fDl5iS|FAWc;KS<@dEp`B`rz!O^zrc-HcXFyP!lC9
zfJEQGkg%OTv<z2UI7YLh*0JyUiR*>1fNwzJc$OZl9p1`z@;(PzRqPFKa27##YP#A+
z9z7th<B%8`;Y8ZgMnV5HQS>)gIKCl57kFZCDO}phjX}C_@W_%Fmdjm<^je^RS%}}3
z%RM}JEi)?FEK&kvJd?CjFHj(@;me+#t9dmlagDl;vK0R5^*H3HN`av}uRZej3815J
z#N)yNY2=I3%w%uT0gIf9;Ejib@U--OXSHTo)He@&b2Ux}ZrZwZt2>DxA<3QbwnrYH
z2-J1Tc<4Zb{{4x77*SkLE^>V(u7pMGo+65%1A)<3RT4VH@W)a8O+6MWc=x=m!iClP
zu=z6;3P|AMrCSN3=T*`7pnzJjj}A;`zm8~VlEmfA)^w)<H9XK=6c}(z2de9?&}xrK
z<7LkOSQ_2P_;b7a2>-GU=<7!}*;&e>Nzl=n9sTN9a8k=E;35UWxf)yfH04pv>!AL+
z)0+6gIPzJ`8eO=M+gRytsEBVvNqbXuw9)?>$@80$9&8L(x&CCAGAeQt+=4?o_{w!z
zFngCixc$_P9qLrUlw1zd^SiqE{p0gBQ_Tion%3jA%&&&Y<MM4Eef3dMUh_}&3o0mP
z&bQ=kBB5jYhjKGMD*kX7-plix22V=2_VL~%Bm0*0BL!VleDnOpK=J?`RMd{n+l;8=
zF`L>z-s?0(*O><rR0e2O6|eQQ)WkCh>wn49=y+rA6_@gRMle`(!;2cPg%1Dhp8YAH
zBXR%c>!(&GuzC8-frut;w0oX$(DyGLIXcD06=zMMM|@-P=(G;@c1GXN5HUoq-TF$F
z_2zJK>)TTYS2^WxIKGE8LdOSEmjY|=TEcSj@x+*6U9<$(bxCLG7?I|<G=0t*gui4h
zjosEmql*nu`Rz0m4C*bB(FS<2f0#{IZZ+4Pv-2MPLd9UN2YRR2Y@lOZmk7A&<1V>|
zNN#Tf3@=LMzg}kpBV1{hoj2)Yp2Y?W$7{N1uXq1a&Ouw?cwV4IUD88FlH=I(aBWng
zemWdIZVNW^q2$E<dU(yn`}Uxo2Hx7^5&U<P9k{PE-J*V37pYsb{kz|*Vah=24Xz7z
z5V^yQVIEGwOvb(X$0Ev@T60&mGt~|lB1yX(^>pxc-m~PG78xuNdHNwB-VPprp(r>%
z)k3;ya!D|!I4aHikQKb`V7=AvKsF6cl&HJg8db`VEK^k^At^hU-N9p_7O9R@lVe+)
zi`XzJLL&KAwJq#OZGJ!6Ov2*=YYgRtXPGzueSP|4n=OFE_g}YU)Ud|;&)Dsr0p^c?
zF9QA>T+MNzt_;mXD%fTsVy{BJPwcaNk$C9PDo^ibcTv(5aX@AIhRFJ_g!t`6v79M@
z>Hf>A%V*^<*NB7F-Sju%u+p`dcpTuZTt1g^k~B^)H_K-Knj%^(3zk2v5OABpx3Rff
z0zdJ`8Vi4!A#QM&=sXrDpj)hY=9-fjKKaC_a<_brknO79P13gpxd>+$%8D>%)s=qn
z&YLHg+gv-wwphWr6I&j9ujNPIR{z1Bf98pY<_EL<PFTW`gnL2mlicW&`RnEM^LYX*
zn$G=~ZvjR@FJ=19aA1u6dB#7zd4hE}BUNkA9FFa5kS{;LiY{8y`)>Kp5#CJ+?myMc
z;kYYzS*F_(Q}Vngo5aysqVJo^zrz7$5V!8a#MRJwrdaVoi-e#VB6QTJ)v3Z1c#<S9
zNs_0T{~4*?|9Nnln6$DkqVt+U=jQne^0o=)Mu9%w<46AxPW1;~KJqnz3N`)#vx%R~
zs+)5*IdM}&e)RB$Xr?g~%gO$m;v8ZsDNfTaR!$PbUk0ddYQ~_r$H=`ayO+t!o<usx
zHc51Po$mY*Zv-5FWn(UebTBEi<y@pg6T~iYzrf`g2B-@;UpZOc$P5Yn+PLs*oH+e)
zQhWb?2CUhd_V!`^BPMH2ofO-eapG0&-EEUShEVJ1Nwda8qGcV-czzut{w+D340kbv
z58lPEp8tGC#Q49S^r#sl=JMn3cD$v-cRu<@SFc9mSdT5S@MDaK+F?~ZyoC-1N4uzO
z6KzDrhX<od&f~<I7Xh`&?`iOwc7DRr;{$O|RwsTB%LK7O`PX=@Ck<-Ce#U)^{75LB
zAvMUKoFM!+$2EC<qk_sCb?ViSUSe(MkY0k+B;iq12y26>AV!qMiRAVZ(k*N2oH{3o
zVE3CRj&e{T#X*<Kb7_F^SrbsSp=yfYOdmdTlV$+6Z`OVPaAb%W3fz9A_|+dG>C9W1
z#MS<}v?w2)zvDZRHEp0JH9bvKAJH<ayrBn)Eg$ah@ERsGvV*50Hq8?JO^?l|+H|35
z-h}hY;Sr+8n<2jL-5lY@d#%k#Oc!!(`*&2{`b8va?UHtm`AhH|3@kX|K><BJzAcWw
z#t7Hlm4;IR|A@Oe`i|API<Qc8oNJ_Pg0L4oBDivXiP-B9#?P^!4OYtA4bE^+5$--~
zct3Tm5HV6bJ9oKggI$WtAD{3)1W9(Ml(i8nh}{_Q8!gj<QF32|4%ZBkaCA#uRTdir
zCYE$I%V<Ht?IB*QoF%+y_Y%(1IAH6&1!I#KO`z(SNLgN;CrrLEMma_~;qBt@M<MeX
z(61n~oi}NL*ml67R<4~Jil?|k`;Tb=A$|4kNW&trH%vfu?guZ>GF@(tPpgBKzhed`
zZG~7_TT;bf2mmQoR>J6vI)ux&M23y9K<PlXbyt-T$UV7y$WKfip4jF~e(+|41+8;=
zIVb|3NB3s<m5^cGOBflLVuzggm~~}q#o+w@A=t2;4Dt`F{52nPLhF+wz6Dd_P`koM
z_U0!8MJHiHP%1ZEefjuyM}s8%+!}t(q?H7ZTK4{JDdC0hx9r=mHc7*;AJ^O)GDzU5
zawsr)fgcK}#V?%x$%1S)nduotg0B4|`*)ref^Cj{=4W>)fbp@QZI4fq;ANNhj_?c-
zXkn?}>ba-{jB}5|R4<XB_FeWRDP=L(n_^@-FsuT7@9&F7SCYVdXRbfzD{)}yxFZ^K
zR1L0hX%rseAj86mx3r@FB%yE2U9nDv4BG5*CYIr3_)@k{U~{B2m|3|9=6q2Hnq3-2
zKuR6<C|lqAbW;{yMDdRs)o4QU9x0nIKh%Nm$gzkw{qoSvnzd;2QX7VLrpBG0)_}4}
zqxU~tl%S<4;nw#q3dkiMFORj?0>39ydch}DV1)I9lroDx{IuoT_^)3Zc35>dNq$iU
z>7U<{@5oRgG7|1czNdi4sV76~ZX~$g_<gp~fCf(Kbm|?FK2Z1uTi$*l!~P!}ZrxUN
zU>$1yCUuw!4iAh|z65K4b$#tQ!pso-)AkXwOEfTB;kQ38tOY06yGve?V!()Hf}CF6
z>UeEBuSUK$eBwJ1fsG7U*u8S11C1cOsk7b5oB|~Q&!^jLjKK7q<*CF`6EFzUyW99k
z7uGr~d|?I~fuY9Q{7DOQ$lv|ix=lbI?w7j`jXN2Ey^7b9`BfjN`V;9_!!Q8zil1BC
z-!Z`DN9BKBq6F+EWo8`}rb2YPs!sZ(A#|VDeW6(iaKDmY+-xTm`cvI_YfI=b_256Y
zq;?yKwyLl>6io#U4yTq^k~HvZ<y7C;Vhd|ryz2HvP~r06@KXOieIShv^~>M3gRHgv
z&MCH3@cw7_IKWf~L|x=#BP{J<r2%X%J~n`PAA6l=@73YWj9-;cu05C)ZdY5ntPh4o
z`JFWZsvy9X%@*Bb4?&syJM(1pAX2W_q;;zt*immqnSQnh9jBT%Pj*vaSkm|Nr2}G+
zzWFI}xzrw}Eti)xBDCS6>P^krLN2gLGLG7|+a9bN^q-wSstM*}H`PwOnI`@R00960
z43}p-)ejWL?Y;Nj*R|biT-UgM2SuWyj3P-^5$WGjDJnEXC8Qyug@jNE-D4}#LWN`(
zvS(EOy*)3^c|OnQobx^BoV>&pp+!45uh;bUiyH}8{^L6^7;%osV95>nd&CZ?3tMD5
zjMTx+E$qoq`V`asQV93ypSJML@$$I2v??rQb=$o8{D(<C0nbXkY=NKe^miR;C3vG+
zY|XO5jy9XF&$u?)Ky>(O+%W?=a1GdBnDT@hO<vi3Y%sNf)9^*K<D?WkY*0?xu#pd4
zJd2Ec9|C~tuZ3wLaq!t%<v`&Qz=e~n$4{yN^h=H_<<$v8%iI&C76C!@`Of{lm_a~G
zqv6@!Szc(03>(u*62#=`jISFUtf4hqPH0Ci2S^F0KS(YV#9EqiO@<Ex$Z9&@2AHcv
zo36;AiA#b=^G&+PA7cdqG<Nq`l||y+{9K*aIzhZqW+l{GU<rPS;k7~y6U6go-PXyU
z0yuX5+6|sz3#czY;%5G%mx%WBvy4j=!2ig~#(iW9_?+b3%l@aDSkHSeB8(=0GTdT~
z7ymPd^<SzRa}T{{D)jw#PHCDS?|8OLdeqaw>MxJ)oz!0DO4?uEhB|)qY2t~_Ql`T;
zG|zo^X@n_u_>*blQ+}M#jdlAGV+K19dF{9PJjGNoxVE0u%#Sq6^_SH@XyEH0G9i#S
z#|$@k_o0hJ0N>5}OmukAVB%*$k;lR!^BZ~qIY<D7Z~c`Wer*b$YPa&TtFJIUEd+RQ
zN&x+>$1XG1n8IV7xDy>Jf0=js2Cez-3u5556v;JpCQy~wbHMf_3)a&wL|UE|!g2a!
zioc@?@M-fj_V==4z!jl@$W&oWv~smqXfp;+{~o0>20Mm|GK%JRi(r)z5A9fhF?=YB
zn60?ZfxE`;pBhyX#dL@J^lQsTP*DGwnfZ$o84UXePUE5|GWOl}W||TF=#Q7J@Z-jb
z#(sgGHZg1$4pyzA8^L7tJcnin4~i+pL>=!CM~ySI1iL;e@aw<RM=w4kSIK&b&Prgc
ze#nLR%T##2ORva$mLKCXvm`Qfr7+KU)nwY93KrQDs&YAk=zob&&^#rLYr-W8**U4;
z%_?`cK1>+-+d-skP6kazBlo&DQ{aNN>K-Cr1l@+)o;#eC!^{3Jv#;HtfOX)nYU3hN
z%pP24S8c9<yT>xyuN|Pkp0a{DMxz)8GK%Co1e9<?-O_ejPYU?6UVKtNEsmc;T-=Vb
zsNl<yrP90h6rg-q;gh0DqH<iih!DRj8mY{<Pufx-0VNXM;-#=tRM=;Tq=u~7uFnr|
zpumBg_>G5Vq|xJPvfU0Bb@XvSzLH=Hq-;#xt9w`$Kd4{u-g#aFeI{&vGp<sAG;t)S
zT~r=BH+{)tyd`0f1XtUe_Y{cOomLoBuYhH`Esj@|$;eYT@Li8Y1(|4)m*Zt6tUA>9
zUH*s`3ZF{!)w@Im3a1Dqi>`vB$_I6_-fN>h$1~+CqDHXaeb-)9V^vI68d|Q_*2SHh
zyX$@x7=eygkFhRI4Fk*PDC3cO=-?I9UKwZ%J8Z8MmlEnopV}AY_)H&HiN>Cn<|d$(
z;wLJzK?83!6}Q%O8Q}dbrm8kNrXasvb)3VSgxze%LJYbMaqeR0hdde$T>H~)j|OU@
z2knj9YYz$vAJ^-0@i7DLnIELOU^03Ym5yxAreJIERsq|abhv+LA~toq7M2>5Eex6|
zsId9xit<l$2zPrwsc5Z@Qkvt}16nB9pgX4^wB8avA6It-E*(7hT)zCz9SZUdNdLeB
zD{$i7=HLEU2fwthmx^?x;0p=w*-{~Es5~e4`!7`&-)XO14vsZMMOpuVEB*u|Un@Qv
zdqEfTd%D-f$Qz&qx1`oKSAf(9hl8o5y7*=A9cjW>4;PQzdluXWaP%?VQ0I{@*3?2s
zt&a}A4$NO^_pyO6x0iH-{kj<Im!(^-p@o0XsC9eS+CbE>vv(!CF5Z?DbrNa(=Tk~a
zcb%{;WGEk&mkiQDFU=+!{jKVlz<F0#)YcY?XD{xRy`_z()XG#;$5fCla6azPzkM!u
z`Liltz81#bDEM<<O%Xq?H2!4#i(C57yHT!_@m_hu+Q}y}SbcPel4fTMJV73jN5eF6
zm(~83<_rmxG`&Z&m$e0ls~SdPh9vAgpzyVFMg)1-tU^M1Y#{b@avtxHI-Xr{4841h
z9~1KK1sbK<z&W?m&KzlKXi<1XY<!#(TOJ<&m2YPQv==GwS=XuJ*7ERCC1+NQx@n)7
zF#=#AU>I%oZ+-^rS+$lpR+thSG{5e<06<qybX$&7#1r{J$G!i~F$*IO2$Hk_=1Ln)
zQpobS^99T4FJ4p3(3I50l5+%@a-Y~0H7bLO#KB3KuOm#4*7@mMXbs<jlHGzoNa5~A
zt)BPtL(G#~Dn9l9VnD)y1J;lFB(S9{M`XQnKeLSM@KU!a1MZ1ss7K0*BRgZne&A*=
z^Y$nj964kKb!6>o)?=dB`iu3f%f?=&VX1BW`f^KncQDkgf=vX~)|u+5{O)C5yVAG!
z39BXOad_vk1PY@3<+VY@2l|;>S2bmOHd;XQ2~kp%FhAz4Rzx)>3^H{)zpm@aG6(%E
z!+3pGUi4+o{OnWv&P@9u&MaJ{!?Wexl7CIPkp*qnA66P=?tgZO%WexD=C$2pALVl5
zigDCBm5_1f@|^|N(<NqLys>0v){_IB`96OPIX=ZC>%4B>B4Y-LLuIjfR_xe);DLv@
z&kS?=#~s(qQ#5E?pgsM(g$)zaZKaw#=9p&|Z}V=LG=-2C&X-<aXGQwbYW-Bu0#nxe
z5YIY4Q@D+T&GP)Lc<-Q4g?Hi-lZ+8XCqJ3M<6}+}%)2buBht2=vw4{**1@Je;A#TY
z;~CQ20W8R8NtGB;{llcMcwY^DXAJ787yYyBS#X)kJ=&SF%6zm|=(5-rV=!tm-F;&{
z3z{hJJ6I~tiu-wDw|x3y1eA&)-(BG>xKPu2w=bLxPxMr2z6>ye9kqNRHAVmO%-*EC
z_poDX#C*@YSt`VQcenT^!iwvD{uw9=;KcYVq9>HkQX#-X=BR1Xzq}`+EkAN_<N8+i
zc~qi8g%k_dH7z#etsc49R?UO6ZZm3aFDL+~l&rOS*|3|Z^BG4bA8yrgoQv_MfLWK4
zr%xF>X6W6BAITIz+2nQ2zgQ>`+vM?a@gWDo^`$>nO+r|{@7TI!4?`FfqH%Cka-wi<
za@>5P2(AsF@)SNbfa-H>r#mLOQ1wp7Wc*uEBo*{TG^-jwzr^Z3UV9#tj*yp{(-B8y
z^YA`{>-uo6e%t1w$cro~*(%}L61d_Tuy0UNA6%MBG;RF&aqml?gNAe|<P%KJ(Jt15
z;2mS0Wjca*_^{mC|0bj{+G``*VK+SxvN7WIQ5HtiOWFJU8)fl(LF<+?ym~M=we9>|
zmIx-Ou1^-Jmq%}#g^L~^bYUuV+w|4fqF7ZCtK%}Fh(C6|k#j88g<1a_cb5gl(K$kb
z{9aB4^$pID#d3AwQCP~U<h>He8TOSH>#m9og%^$AR_cPdYvPuY?~-_yrO9ICt{ToP
zvk34{>B5RHU&-YdX*^1#ek$bAz-jie%4&N(sIz2QQlrZvt)0v@5>3L6(2R87dOgU#
zd}Ak{usjag)unymA!B;w);G^1^kK7I`khctMf^1>+fkpTg%)oLT^2SNz;And=XyD1
z^t)`3_RLNPlkD`&4(>997eVqfJ@-{`>*|n~%}-rajz4*-VH*X$8s*=bf1`>qA5u@)
zUDZdQ4NZ47)u}N4W!d{Ri#ne87SZ^^&=9Lq-nPaG8-anthNW^V4OBk!;IgYX1wAAL
zjP|P-Lr|>GCaaSqoFYbqP6|@-O6bu|@g621ZJ{;VjG8z}CDpFpr=r|GFFC1VQ`m4<
z!tnE7GRFM9X7xtd2wm=X&erOiL0@Z^NfT8Yy$@`KoBNFLZ@@K%UK1VeaUZ=Zu~`R+
z%(QQzNk-`QTX;14s0DDlXumn(sf(4L_|MoKGD5D?OT~)jR!|xJ>)I}JJ-li8IeA{m
z2>V@z&-$z|fQmE=(@8xX_tShhd5((Zqv3ghB?QbqK6I6Lzdow2*k9}`p<uMTNa3Aa
zfEPafW`@u8@sZadR?BsUSi$Xj;9`&su&&BHt7qzCu1A6isa6k%GB0Us^8Mpi673u<
zP9Oc_l{eg<(8e@sx4XwBTi{)D|J*4aeT)yx+rD#16J0oJz7)*Z0$H!Kd!w@+avHBm
zm8|>6nKGH9xkh$SI5}if<F1RwAKCR}AE=<4`0(~;o9tjyroDxfo(?_<RPUJHB#&Dk
zey?G5wgb*ETqpGTUmtL^Z4Y}UiM6ftd;wiMaJ)Mg>*h~J$){AKxEv7-on9MgIsH%P
z#ofC<eIlVzXY`@5jXZe8&uVH*jx8*E2f3OP8aQ*b?xg)S7Bn<@$tPz2Pv>%Cs86;U
zu5GcZ(O}FmkMQ1p-}co8vc8`MX<k*lu;plBr`rJ2By7{MkZ>CiNvbgWHLHY|HLq>{
z%qV5@vYU-8E(4@XW-aB-$z#^3Pv^hBZzEXUlfxF`050;E`#LDdVqB|m*(0_=V$W{T
z5)cK53s`hH93h2VtC1>QuSW^Nv%^dmD*}pg+Uc+6#4)mOlR_6UNt|Uy*eZEjL&>-O
zHhlU2__aoy5-~bO9PipX{WqEc8%)C|<;cP)>6mbQ@W?bV8fu~wpKk>XF$3klz4-C0
z=aC;~2d4@7o3HH0zFGn`QS-0!1ULS-vE*Ph$237IY<@_VwuJ5S&AA@k960ds<coa{
zQv^NaO17Y<1q_^5xfG|&hB<dF23GSYh?{q{jkaZ&!z<Z6yN~&=GRrpCdNI!ZB*Y#*
ze^N0*htADaehk?aX504%NpEdO3Cr=FIRln-aHU3mJ-KC(Y2Is)oIU%Uc<U;3=G0X)
z`0v4N<~`0i=40hym#dG42ss(=)b&#|cr5LG=8F0>v)QB9@BFa=qPdnqUv{N|0*;=#
zXgAI@pJjCH4eBGVC0%sf{M-~`VKqx=><9Bv`VP^Vu^!?Ljpdh|x+$EiYkB=vdx$A{
z<M-XKTf2yC)@BE_WD^Js&vnWf?_(B=DjnM_^_i&Eyys`hX#yUpkv5{vJ<QxozETv8
zc7iqj_!uL~81z4urNg-|OwB!7KkZ{a5TS8TwsI~Sfzl=4P@_Zb%nQ4TyGxqyhy-hj
zOT-}~P_gJ`Gg^7i)MdEYhm%`~nBzd&xk!b20eky6zE);up|0cG(@jK8pHATOC@K{4
zRFu78eZ}-2JLc`<UQaw$+ZVax-yfvqo;L8NqK=szMrYZaQbR0`X1JSQp}@B;c~6Q$
zHPgWE>UtehB(x6iu%oI_py9Fq-gJpd=8nUgZ`OEM5|kY0jlKbfFz&PK<ng|z%ts~L
z^$bRz6BO$GN=A|aJgi=J<3IL<DP6`c;L7oo2uUy@+N$)SWK@ohQ3Xti%OYEj+$bRi
zkEu2+&*;JJ!lx_znh%(3Qol{a-!3LZo)+D{psxomu96ua@eZ>kBk9>PdlB)H^|Jep
zFkKM3z)0Whc!Rko_eooBbODhuKxDc;(SejgmCO#GWadw$E)kh4`NaA><+V1ywV_9^
z-@b|aEK`rl+51B`k2q}eTaw>N8`Ly;OH0)bGY@}So^i3wCG<Skeo4Ho1x0tmD$~dm
z=I_@9eZ5T&iS=@}YjPLJVD-o~{_pU9Vs$O|dyl6N36_ecDaIBuY_@5Oj7vO4+#SoJ
z9bnHT$Px<f`lXuiUw)0+eC&DR%hH>&_j$PlPgH*8Hd##=dA;ZIzPQVTEk|@^!^1ox
z!TXHO{nI3H=nEQiB&86vnj{C?m3$)3%&B2vQUi*<7o_@^T_f6qzwkW2Q$SE7o=+M2
zX@KC1o!i$r+$1;(iunXH3W@vdff{BV>TtVl{b$Xw+k|=X@xAqnMa0fGt0!hQs)GRO
zfw$b&JA~DvS*g7npAccU-nFi4Rs+N7<&CkMbBIFG!K9V85~A~1Qo5>>8uV6(wa<s%
zBeKrq`rb_{BZhyU=M8LC1?%87X36;vh)d>6I!@8g2*byeUn_2^FxB(o{B4;$B1p82
z>vDcML7$%<eA}Y}%_9|JIWHa&?&0K;&oY$+$?nSd>rfT=<=jw}aJ`T?I9FHY^X4UC
zoj00WxTp-eSv9JIJBo?FzdgMae;`r&R`ge`qB4klwB16JDIw(k*frt5zEzA*Y|3*~
zg7^yRrrbZJM4s<>z1IFZ;_ZLx?u_G#&=LCC?zY4;V*9hDkCCSv2+};8oW~OdxaP!d
z_Gec);W|lAJJQ-j2**8cdp98ur*?iDST|Wglq8+7&hl<1deur3E>Ps5beld=iZ6**
z&-QrIsI7!R?8kJ!BXUr4^WCpolSpKFSV}$4e@A#`dOkC)l?6reyku8y4WYC>o-Zx*
z10nnDy7UimS?EdjKf{_*M_4<F9}V$oBaC<UMtbj&fkAn5fr}*##5X~*!q@l?!qZa5
z>0qri^zW&Ak|y+u*f|+B?=<n5kojoSDWfJ0j|1LoPUklhd`cE4+HZ6bw6VcBYMc}d
zOB5V1x!OuRm$kOpm(oMT6QSI>KP7>luW~JH_#F|c5|*(#-Al;rSbn{Ct0dg-nV}mL
ze;`N!B#Fvb{lrAOy>D2P1dNq3SV@I#1jkHR=I@R{!sNes)=Vo2;C4Izi$2^z6d9?#
zT2lT_oD7NHv|K6<n%`O#*nGYaQWc4>bMi+Bf8VvrC#d4^_2+_1k6bswa{5S8&8eTn
z!`jR=-6vuo&nDi=qxFqwOYYF)$e$!Kmi=Qy&BUNcQA57dzK_^MD!Q1IK27*7<ovQj
zQAlK&{2;D7K%Ad^ar?hZvqVzT`EvssM1ebh?U{Y{LxkT~x$9OqPb4JRKU3-z0b1AH
zqn?@HiCx0y{R^o}#JiKeTTG9Lz|+&6Rtr|6#P}7#qaI_+MErf9qfz1_5cc~|j5B$h
zi0<UOc60s@;dhOL(HJ5O?+@rbxNAH`FuYrNCLgiD&hU%*^Dl%zdd(#LKlT|ydy(z!
z+AC~u%FWSiUPcIZ>v(2n@XQgRV=M|81spK0afk0_yddm}QEBpYTp+BDp0e}f;RfGN
zrRV5ef-tn;yf?OGiCD=!H2mlxFUTaG6fVCZ0QUU?yPL1C5bNZ*X5G>RK*+4Ps=+}3
z%9Lqm^UD7c_U3G9Ghc*Zwf|7fqNo6{OmbbXm1BhlhoRboFGazKb?6W0DnHEVolN+~
z&kkEZ3eZdI#9{YZ&LuG^0dOZ`h%Qr3;8B{FqHs#VuNUOtWnTdh5v`?6-{yw&kk!Vg
zaWar)>yuLUT>vs$_f!pS-~%W6#Uf8<dEhW+d-eW>AP6Y**|V<~gxN=B0KQ6)U)~V7
zG9m<5%x<cj-5>(@0(aEd_N%}_+d!_jYeXP{Jp4LMLkzf1#>S7J8f<DXTy@$e3J%T>
z*7zAnz^m(~JS%TBU}S0{^hC87>>KJEm)Iu-HyV0BDDacPe}{N&&?O1*G_Vsd9F+mF
zi38VbBekJ?l&fO<XDPTOEdJ&BU3vITO?iG>QV;fRFW*U&$-;v0d)jEG5;!Q#Eq?xL
z0CgL`<Q}(Ggf(a%)iI$0u7ZW7l0y`5JY_V{{#FIJn$D|LJyruU`^w<1U?V8_+3daP
zh&m|dju&w!X+YCrXP@A>F^Io!Z^eh25aJqH!Z@!9w{Pfu>fU1tJU@NvCl2VqL1oJ|
z=Wb|0mTHh+;Tsyb--fqhLk93H@N$Dzxegp!7+&z<phK)ChyMhN5tNObKhFL|4=fHF
zH0vzT!A`c@Ww_r2>gqn6+%akZ8@;w=^PV>cTQ|oen!<GO{~@}2buR@X+!~YTvdy8i
zV6Z6vfF-0w`(66Jjtbid*6ptP=1|aaW@Kp28sz#;n9Ka3LTLUPc~Mz9tnQzVF*37(
zdrFe9a>59-SvA(y?xI1mA!gTh+Jc^3<F|-vBe=h3t@klW6Bwfm?U&iK2Fx!0G?POk
z$V*zwz1@il!%Y>=;W2B0!fSRS?647}_n!?4^7zMZH8I64JMCfB-+*u(qJl%EU+0Ae
z5(IB75^Dc$4^I26BqhbDFsM7eoP0qE3OjeHS;;s6JU)K6k&^;EnXAn!>&2k$IkIRj
z+rw{n^@rqiec)2%?5)@RLj(-_dHCP7huH*Uv-bl!&_><&@R&;<^Y<phtLp{qVSA*~
z^iCcvXo|WwcWja!V}CeJnfa`R%LhHO(iBPXM&;xglGeXFpQM)h^wt{q{n3`E-b@X0
z>PK(Zf0Mv(x-&CT9d?ktUGB-YRwd}V_1SF5RR$rzv_eDN4y@Hg)_m9}3n>hSp!_pA
zbl<^sDR8STJdN+?jSi526AdSgi|iG!=<p5S)La`db>aP+wO1H|@A!$77%8HOmL0{K
z#|G?s#ET0)a>2I*b6xfOikJ}PQkHiR;6s9VZ||Q!L}$j9fb(^V81O`6psbtt=hH8B
z>${W0rk;Z}!Fh`K(fLC{`44O0F}*)Si*F(v?Oq%b4_CzGs#mO%{MO*5;~!-BvX`0j
z#`9;fiX!$~)L8GfVZee)w@1bG8K&x9wqe7!3V8IK!g$1aE10>IXfs{8!pw<&Z>V%e
z0b7T&rbvC35Hfu*HE5O<Uvth~-D{_S7XD2Iwf2@!9sK*u&KsQQuA@@HCaHj?;daHX
z&n>_qn(IV#9}m9X^vud)MIPObS(k{=EWndHyqdRz9}8eL(0WN8E5t?aCs&z+XF*P#
zTdWX9w6}SC2rA$`*V+rI8_nUYbg@y_aS`-W$gNkjRKV<jQkjGwbWmx17zr7oD8_p3
zT;VAN{8DlJtxy6T$ePC-*z?7Z?sF`xzE=SyILj)(nbP6a&AAGfTyY!_ZkccORK)7)
zdcm$AW+1iiZ~V8L5*R|#QDq%gL@VXA;Kdv>;A>3PT8NWGhow_-J1;0<!RbdoA=nI@
zQx-Pt50S!KRcl)s?39tar|ez3kr^m)`j5VHl19_>8|eS>s36KJyA5!eL63IVOF2Cm
zoG!L6SB_M{LE1b^&HxQ6$YKg4L0ODkH`XFOrGkm&@oZaP(cn(s_e!@ZStM)4hV0#^
ziibVp{&Rj#gT7GShcz8?nDjwSS!`YvKYQ(rY%QX}$RJ3WRm-DeB%e-qv>I}~u#?j-
zp@Emvjy*a>3g|h`aw<|t9j$MF$}VO8`*%_;HrD4TqJSJjVsEB8D(Wqr$?Kp&s7|hN
z?@cA_Sne(prfOhpLfO4_OEge(j&fm3S4KI10jZ>F4a{%JkbACS2Jz#6ZHk;!Fx2mW
z>%c}5rf#GV{M*eSs(pbL-lBqel#KMA4icUUZ}Bp_Z3fThm8DK^P(`s<caCa$YT~Vn
zaX$se%-|+tF@v{N75lZyH^3WB%)gd2WNJ%?F#QXsmz~vcH7<^JlSamkiN<=Q96Edr
zcX+GuN)5+fsZHL#Oh&`@$SyfSbGReId_c2N$43`GM!x(^#!YKHU&%$A!}@8-JJluX
zctD!dD@i~L#U~YhjxL%*K+&si8)Xgb&DX5`s;z}xr<E+k4_kooj<>U#r#0|zLh#A=
z23oj%6YrJYMGKhj-<H|ase#R*yHr<YwNN_WTqN|kC4^6y4fc{r=+5={di*FEZT1St
zW&O2;kz2T}Dwu?Gc}~;hEHcJyU?18PZ3V$Hn#)?(N%*cbMR|)Q8O?I8=vl8=!7c5z
z_52ki{95v9*04$w)9!njm_{(*Y~O{T#1<09vl-sIMb^Z`s&l_(yBQ$Eafw^y&A+-W
zcU;s?knm;d%XKUaYpDM!boN{&34i#|)4!nxu6weJm2t%yoI5-B4cs7Mj>^@<kOg%#
zzjFHAp-<Kj9C_RJ{%#WH@1f1-tE%JKeDg1PLIju;TpzuqNkSIMTQ{ECtKp%n^n8Lw
z!1|epn1OZ;EE?f$$k?NbZdYHs{@Or5PpNoA_Yn<zXFUCFLy`&_c~+cRaVJ22^J_Lu
zAq|WYtL*+5p^PnEYigJq3GkzkM9$w(N8<~ZhI~5|@e3nqGp{)T{f|_l#+B5uB~YvC
z_2z&3=Z6=^CrJWwj775@Gt@A)igWSWs2uut0*l+QH7x8(j7yPLL-|OXYQ`N|Bwp>W
zZpya?U8^&a<(E{EXAk$F-ccEB(v;Lq47P@(vfrB$xK;6(|54t-1JWqB{(R7HIcvC>
z(4EAL`8S_0K4|bKOW}}1)O1KA1GbqTqcr_e#+0asAFqCt#Q6_jS(U>X@WHRPxqMj(
zU4E?ec9}^cCE1VSB*Fl*FxlxEE+x!~F1`4+N&+*JvyJ%+tzes7>iCkfA_{Rfz2Xg!
zz?mu29lM;Yz@O)9itIWC{D8rx(^?X!*|O)X<*+66s<w7qijl|s@W=e``6Tdhmn~OF
zj3sac8;cx!Er*+2*1jI+mcX<)zp#8cOZXoE0RR6Cmv=nWe;mh^QbyM8JLBB6N8Ft|
z+<lUf)i6q^XrYvyq94jCDlM}z5)m0qsdyKX1}c?gw3Cv|hV}dYd-r{O?tS0S=kt8M
zp7UC+AFSa}AvubXn4y7(1+#DNm0cGhCxhdm&od~{RTRY3cfmtzkL~!(8WFN<sfw^6
zQ=qav`=9AaJPh$NLzey$BIEpvrPh^Xkm{W#x&6RHr#dQbJ}yMg8!I9|t|LRcpzwu<
z7Xb=KGlTTaglKrU^p+-p3>Gd*az<|nP@`ny)Y)y00_tBIzxhmp;L~|KCwCE{$fs>T
zJINe*KO0`~u9XBU3{-@lRY-79$MSKasX0=h4@Ue35-6@0-&pg21np&xCLUh|$W7dP
z?9C$*c-m#8m8Ft_;LvLS_nZKo3%vDD_>}~=m+nV9H&S4UbYX0#mjKPK(C%u%=7AGe
zzH2O_LegD*EoXHBI>Ya|YPgmRtt*1{S1zT&f0zC+AAaT|ZSTw+VksGJ*!xDsn5cny
z^Y@!qukn$&!hb86@)QW;c-E7}>M&LoaQ44cJ|cz$q>si@fSuT|_rG--u==h!H`||&
z%BCh?QKYHhe_2fI*{=zf0sP6m&U`d|=SM#yiwaFIlJ=ZgONSPZXBOE)K8id!uRcXY
zgP8oKewW7R@K9>tbg&U0wI?8I<qsOPnc1dypVk6(>9y{A4f$w)@W&_bE7agmthTqc
zkO8M${fu-3e8hNg>hsEIbx3|)r_<WcfbV*n`C|@zq}-WoJ>{kWt!dY`GE$h3*KWQ@
zjLlg-x#DAkxhD8E+*#Xdzyi7zO@B)|AK`}zDTO#XOja6s%|2s6)c2;s())ZA^LY5l
z<S{z@un@m%4rN1#a_<q*JONVs{IhG%5-n(_4}JM2$AM#mICGYh02w@*YQrDXg7nVj
z|7LSJAh5MeTTviD7YGvv3X~Y2@r^basL6%YQL4R{lsW3V#wcn&&H(C}F#FI9F33LI
z6VkcE98GXi+7y(Tu!h~T(BU5!F30CZjP;qLmZQ(z`_h<TNe!E?=cEnF?#nByyoIRh
zcfq2R`7DSuy|5}INgJ*f%gEIA3(?$YhENj50?T_dpDIhVp)=1bBqmUV7#w{Wvo|al
zX+M|qra~J^t2xu8-y-yv(EQ{ij}0pdYR~v)YJ(~IH4~X^fi|cG<YXqXq1Gx9w|cWS
z^p0G~cOY0Ijh&n4GF#X%;yk@_hq5+o=$dL^6<VT{Q0r@?e{8rqyQW!G$OX>%#N1S_
z6&lk#Bi}{ifZdnBNt#41)a`W=%amB5mxJ~m@AWu9a^>3FhhpC^qwlb$iqW&xk)%^P
z9Ow%<AS}Ah2Isq(G_8YTRDMp`xB|}s*G$`yCtp}lJyti<@m7pd_(7!ALu}xu+#7zs
zm<3Dj|CsG#OVH1~`<oVBW5b)unDBLUChRgyEw$bxK^uaT<mv<2P^?2<@W_M#0SzZS
zwx&qXdm|{msl<kPZNuqLmTAEPAB6?#c@k72NKH(+$O6~6=~s2`ba=0RK(o3?g5Ejl
zGo(ye5a_ez0;^X8zAnizhHMF{7-IisTw{XWCeFi)Y;`zm!fcYnN{~Rtj-X_~gxVE!
zdjBEp9)ue!`Fcpu>oCjd;d}->Js<ZdLY@k&McS`oH6<vlK;z_)B6d#vKiqs<O$M7x
z$q2qrjCN-q`K!KP3%-0!-mx);1gaO*;z~}6QNA2B?fXUt>udN$q97t{7*mbCE*2xt
z+YznLJ?U`H@^JmV1OixgJ=eSW(F#5B9<e)<r3t3~^B*MN!^0}IZB_~iRw#CC?C9+j
z4G8CDrypS9LH>SO)0DauvZ?*tl#-|p8=j>V3CnR%NXZMXzHW&cAFq#8JFW(y*LIi=
zy5S&oCgrBU$r9xndM)Es&|uZAYLoM7IG7%<Nk7<cftHH(B&OX|*mAsk^(JW?ct#%A
z_7Ar}&m#Kd*fc7*+4wgzWpF@Cdl*o($O3gVuKv;<Oo6GI%QG@e9GnTAdD?$ggko$*
z*4^qN!-=zgx0iY1fD~S}_ll_q4Q^ZY+!*7Y<s5;^zkq{Svp)X$CqmSFDsR#H0TOJ_
zE~i8+#DjsaU$9Pq5T$%dE;3Fhf!oOmbUPXkDcLb^Yh{EeYPds~>qr9O#)t3z&L=>-
z_vC`QQjF*MZVp?hBp9k#wA=9<0oLa`C7oDlj@Ip(lsL{3LAed@F}#8ZZ6~~B3jYXD
z@8i}z(vw7ZWafU_Wg!XT7&eO>E((y@P&~_O9tldd+Sh$~MuHBDD*=NT&nK<6JDk@f
z!CiIz`c+siWxK3w{E8DGr{iV0J*%;K_6+sw=Tg9Y;>qEX=X{iwLW;;ZO#<2I{cLsy
zmWOuVCepL`C>OW(b>tukRxe#M+?_{*s5<gpl`VX<6-SC=yOKfnef!b(H`HKfesgjj
z594;jZFz^sWH5*<NW9Xc4xR(Ysg+86^u1GIWt;~Ec=}IC=an?!kYA?o?g$T!NVZ(t
z@QVV10n5{YTspY<DXY5l@DN|gvw!CqDmebu5M?}}Lrjy2@IyNfefD(Trm>a=pJhiX
z3-)M%$;>C5^iv+Hf9uiFp{WMma#^T?#enp<y3@Q)9tu%?KT!W$4Z1^=EQ((;phC&Q
zZ2B_~U8!LQ&S3LJ-e;6a4l$vGe^2)Ld_EeBePkWhrU4Egg`K}dESNXa@sq8`NBY5w
zYo0vPgy^c%vxDDRFn6jT&wUdgRS!|GiUa7dp#9lTY7QHAjfy%7^Rb-LtvdJmCmp^!
z%uaI=2X-<XeT;wbk=a{%D1EOMB=~*b64l3nRpH&)e{BTF>i9>>yZH=|>%Nt58p?%;
ze#C1k!}eG0`RA)g8Ia#|C&P1s3&%u_3u#ny#7lkIr9{GbB%V)e_Sc5jCH!?Z8Rm!-
z7c+>?F(GEOn(NxE4Vq03sUoTnX*54g3DsbM`TOO$!*V*nxETMc<f0Jm`&@dyI-3QX
z08Bu$zucDfH}iDhh?^Uy-$H~`$M^1?l4V1|yeY2tavgZ2@%{JLP7ykLVn)F+gbgaa
zQ>;1@9l$AmTO1Q&fimtsqvf@-A#Pwtde)pakl*Ze#3@*!fuP4yc#OAk8FyBOV|gJb
z=rWkSV2M_+c0M0>;lSR=z*jZq+8`WHZ4WiKLP^;H<qsn{VBGxq=%r#VRFxMGmo!=-
zvZLade<}xBg~|6zCpcg;RY;gvE=G+{4gBQNI8dN4d9N4Cfu~PbwEw&zMvr_|54%Qj
zV2y#Nk&QDOoSGLj#ZV>4#V+Za`zj7ttgaUA@n*sJshEJDK^V8)5?<usIMD1G*u8Hf
z6O{T~{=;3CAbs}5Pn2dhNbS9Eo#Mp+bkLC{>Xx9<fhl|5Ha0w*i`(Ajt_7c3C+KG5
z5;VtN;af7nf>qmcg~*i-iLGhnE2kuAuulJN$X*smlT?x$Dm6gqiQ{jZUlOEADhX^G
z#(Ksd-B%VJYOuj?M%A!Wg8I%Vgj2CO?lc%1Bq-5fp^v*_K&b=;$7?FoH#5LF_HbNn
zC<R;%OjjP<EkTOguC7tnVZcvyf7<DPBv|;03)<Qk|CbzIl#;3iMmO)!qAG}Rsous?
z<+T_kKUu2E{XvJK=CuJw4-uf4l0Nc%zZfms+(@2YMF)XPkImm>c*wdHWWSCkMyAbS
z)dj(tpm2ZJ9q9%f$obe=zP@UOe&xORv%^sXdQOgibs^y(g{U*vZf}M5R8D%xn5skj
zhsC3F8LDurP{B2!%M$$ysx7P1Q-fbWua%FPtHNMumaekDCAzcdY89VP1G&z#Ti(p5
zz?~jl>4<R)q+Y&oe4#rPcJ=t}T>C)<0_`W)9X()y&b_@=pr1^E_Z_pg>Yr3#tBzZr
zhLQ#HUAk{$;8QYeRF3VPlTwAqb?>Mz&WVtwBH;p0mkfh?b>7o_Rge^fsUSlU%IHe@
z)p3>tTffnKZ4*`Dhg)*rAYgr-_3p3}n*?J5CpWvVs&K=~hUT<Zh$M!BsN;=9NIe9{
zFKom?ocWi3Pk)-DV)^)l-BCn%x`-?<{)U4OuLG!WQq7TcjEimoB7%EF(QkG#9^1#w
z^PlRPqfa_FHa^!Ng6>1Fv3xTE?2}R1w5VNx+HPlaFR2h=;KZ`OlyL$iA8r}{6eU2-
zMr?d5nF!5>$~)Li*zYU4tZQTokoI54;~l0%nEShYRqzEYm+*fB=fA;t`$>kmbu$r6
z4pT>No+iUU@tKN+C;3SBjdG#x1tOf{6}PmWrhwP_?zOx%e8gUrxuNY35h7hhjlmbF
zVAoKK=7@Y0c>1sJ^d=IV*dTtlqmc$5o%2t<{>VdW#DMb6Z%D8+vU_6th#I_0-(?}J
z<)LfVqsf=IlEJZ4r|PGH2HZ+mEMIb(hsutVz9-D1fVGcL(Z;=+u*q;wLdiZJiV7Ya
zJy=D7K_$fp-~H)uEC{FF>d!-_Ug`ekyQ$#t;OxsRiWbygnXxV0#6$5YW{a8?4XB|e
z&7mDyKyR;CZua9L4;qD>N>hW3G6$1{GzJ(lIAf1?^HA(1#fLW+tAks>C)XSYCNxFW
zj@YK~knO}<e5JGo$d#<Bw31~(^iGo*DCePR=d5<Iye7OMzPnKMkOd9I0P-y?k7)Z$
zTW1vM5N|${)Q|PqJ%j;qCY6s|w;otVJVyspY1+G;Vh;TK&seT#8y{6ZF7Eqis0D6E
z7mO7SbKt!iOJBO4kCw-Bq<M{6K-G4#JebJ^m9R^brAz_3Zk*gy>dAnSW53lN8EHdB
zOrxt~rU2!iKX>=?5CdfL4<ty}YQw<JS9Kl)?EJj;e0ne*>+|=AoX_a#fWL+Qyn%dk
zRPuO(g-D47y58aCv&lNJeJ!W25%W#v*`+lNSuA+#^~tH>fez5uE(~;jE<{Cx6rcAb
zHr5-y8QuM=17m;XsuK2yklV?MO+H82;C}bnN_Xt@z_g|`MNJE2q1|)v#{?VJa}^nB
zjXLn!)1y?}YJt4QHLq^OxVn(>DpVY!1IKrVQ<!0vD0RZ~d~p^Bxc$zCc8WUSw`5gR
zKG6z&>e#t!_z4F(qaH3v|4$pzR~a2Wgz=;@W%sYTAr90IN$Ig4bD`HZ_)n9q7=5vK
zkbM8c0srHXQU?Dxz)v&t4Spm>OYXvz*VyyEi;JGLDq?x+n;i37EI|PiHd^bj^&NuS
zc8@M$!}4bDIdP!`)%g_|H=pK!_2TWX1T#$dXi?o&H7r3KgOfV*R&c<w=<Le_9~f{r
zaM$|_c!b)v|6H;CD;qY&th0QG?c0wdQJOC}2=nXL8ubxuz`=vfZ6z2-A15B%XNb_G
zj;@m7C=1?XecAC;OA}Vf<jIWcA!MX4vrTI=3+@N5CnqgYht|4BN7^+Jy7Kki8Iu+!
z6h51|Q%I(PdD#3D&*Tt_I{6@8k;Me0>8-QgfdX}{RQ1ZY67<UAR*`=U1EwyVQ#Zx#
z`|sf<|DsbE|DXM}>uT2mnOl@dHGLvf45;QrNF?a<J>R@nOf67#x}SUW10LL+8viYM
zFGh#26g?~1M~9NSuCI4naB$$*VSD>%F(S^ut)dc5NS^-J+1srOk9~C>bt#CE-M@HS
zv`qu@YclIysjBed?)ek$xmGB&s`8xSQgv9fBZd7dK?Neh?e&-}D|DrLTz*nX4f3x4
zJ+4Pkfy1%ICJE)1==F;YCHYb`kP*D|ad@l@bj#C!QcWz8b1NaXVIdW=%BpW1C{l(?
zMakuQH!TpVmr;$UQ{d3<@n-ci%COR@#ffKSfxI>D;j7k=K{>ZN?r4=V1T7w<csGgA
zmmL;&9_5grW_8QRo<3#ZUcQbqcM+km6Sw~<{v|?=f7qV}whAb;j5@k?2~m0!k$W(h
z2(s3dYfoYGLznF@=5`^9OfkAEHA8?Gd9`YrCsknm%|EmF-{$B%S#8F?kO0c<_YFSm
z$KH=$Qo^A$bF?yB$9~S60GH1;X2=n7V2gIfbu-OTL2wWo^a+p<Y%Ny2hXb^e9JU1n
zsL6jwN*zalADESR{D+6R3+P0&p8(yvQFgdQkpQ|wD}(nq5}+d>?RL~60eX3t+Bd9$
zt#7BW(?FXDaZQCr*RSwVu*R_iCzcc7hMrZY8<7MNvY>PV>*t;M?~L{K6To-bdxO__
zGW0xHb8|PwE4vf-incx^fUKp4V-=GEi#JSuy7`)i+(irQhPXsfxG?nLg*6rCI%{tB
zp5dVe5ABiYTq2ZMgoK%d(O|f4arAnO&&xh$Uuwbp0x8z$o~u!Vxgige%OW1inac7%
zc9R5GKV|)Bk<x(ioF^Z)5P9fVT6br%ALa$G6`97HG$A<BEm~#D3_V==N8MMQ0v!g2
zgtFV|@Fe4@(Dj=c%37XRT{lR9b4tPI^|AA7f1>n6>w7b_*(m)ly_E|2c`u7>zi5GY
z_nZ~|vl&W_yP`37lLldJMQ42~8Q{e4jh#1chUP0~-_ODPB;M7imKV*0|2EHxNlH9)
zF8%p;=_YkZS!+9Czk&tTr83hC1U%%j(L{{z*8r!B_kUj_vf&wL+RiVChvG`Vf6<qw
zL+tstUe+JkU>DnQ_i_~vQH@-q7oVj=`B3N%k8%!#%6tfMnTL6h`)(fvp%!@gE%Y4S
z$%Tg5>c)M3eDol6Yr}XKmS=m<us};2jAkfO{0=^v`j<9g7tMe&n{}zGt=b@Ce1DO(
zivZCkWe={RF+p$bKdq?^I`Cm$X`4cq0JQ|?ZDiCjA?Rjo)8-x>K<vKsi^1mTZS6Xh
zJa-l}>-SvIL%NXrwq~?WRfxXOzA?fESb)BK^YBU1g?BeS)8iV1Xzp`qfKE6Y%4IeM
zuPN1q45RK%x5Gs!t3uw_e3T8{cSJiTign@k<)$;u`WEPc(XBM4EgbNOOR)SKqYFEC
zoisc7)dCT$<~Eu%a$v@=$w*E|7bcgzJKJ1fiFmDHFC3M*uxzB5GgqMlIkvvF9qv{r
zi?YJaWd#>9H~78yy;uiQB0^r{q{OJq;I8$dKrSRIr%ne*w1HA4og<SkMxBgiK7?^W
zProc&)tw9Z-JQjLh7!~i9NNEZ3l}DCB^38MabQE#^Fq6F3GxXde*7uo0zG=zw?v-}
z13$bRYh)3MP<QoSj^&4@wJB?Knh6H)RqGR$A{5NN<LGvt1HJY6;b$8e;Q4L)x^t@#
z!U=9Oz>EX#w|%7JQ?%e>?&ZX{z6d?x#~5F{$_8aMRz3^s%Xa;mrJ>ugbxdS;q-wE2
z@e4C_1ZjYkbrtHzo}bN}I><Y~f_ix=iC~@@@T{M2`LG(H?iZgn7QSS{DPt9-Jzpu{
z99*LrAV6q-fx_3<T1?nycSLV7*5`L8BcJ^QgcyBa=645RJz;5)qq7weN`G|=BD*9g
z&a!Cn;mcZZWOwjf%T+x5ww$m(uup<^cbthoJxYh!<bO*xVSQCJO!l!?mY{ccwx0_U
z(cuh#bX%6CDm+*o)YOqDMk1!wy)Z>h@YBXSe{fcTF7qu)Qyek+sCJ!Iaa|pD1r470
zbVM1F7<J3SE?J?l@YJz_U22fcmfsjYrUYBOD&(tltx(<?^2%4{G*FAWr|m;mg5Zen
zvVTe~k&&{Vz72&6!F669?{gGkkK<A8Z5&IK-<CMyr%ZvPO%a*l>lNWL&(rHukp)`J
zUxDLklHn|G@b@!MMF^m6nh`TB(2ezW;A=;Mv^$rCW+xTl)%TyfHP4F>|8Ch8UNRAg
z2PaauODRF(5_S}kB|<y4-A}yNM}XtW_srhpDFIvE*rT9Sh_?0Fsr0TQK$Ak0`wKH=
z2)m}dO2=4;6t_C13*X?Oan6C*TB!`I({*(!x6P4lN3$p>8V@?0!|_s<DsXD~-h>(l
zbJU>G7XD``9?C1V9!I@Z0f*#RzITrRO`9ED<2fG>Y)<lY=n++*5MC5-3>P4^^P8_o
z58$9vm}DHh5(l-Rs!QdS1gLm9p(pYq4h-4@ELmE3sI4G8uBqaqfNK}PWE=+pVeb8*
z3ou`^FT7sj!AAu4cBy6x9uAIlpYr}gfVS0HTFWv1WVdarZ*{|irnK(-*=Zu&tsKn$
za)pPIS!P~e3-Q3oPM1njC4+wQu+yI%Jfxm_Mg6%n0gevq&DRoApoLUsF`&akw@C*F
z9QG05WxaXpR0tIg-(D{^{$++{hc@?;<`aSHoTR5;M}yA+k6*gin<19T5oP&2BG^eO
zUoXY01N~KS>*v#ENSPoo8FwZ@_T~0T^LP!2JeCj=8)1g-EWN`jP$Wa|eHqVf)0%K=
zb?b@d4QA-ob*GePAIQL^I+QMLqQf^smzzOr%+T!$9T{OO1-3e^lSw|I1+{+6r-rM|
z&<+R3)S!D*7>z#Bv3?r^m|3^FpL&@g*_@>&y^m<1$<)d`C1!%Y;j4V5Ff*iC@2K(Q
zlN#(=cXIgy8Vd%uj=ZVOG())_8Oy|q8gMVz$eKIFf}Y@46UnV+=;ePrr(s)7aPpTu
zmDtUOWfr-UTzMW+^whvHZ0YbuJ)_I=CI`+g&kHd2;i1{;Y{<j>TG4%fg6J3*qW?=;
zt#lXji0obIylgFyT~UxR=B*7`i5Cr|4Eboxv^O-wjsaj9lozaq_3+S7o2DxHXuaG$
z|Evk@zQ2tr@p!BQnQX_@Vu=9pHrN$a7BL|uxwA-mt1f(Ft@|YI7a+aDtemKoEVy1=
zQdRw47tTm4KRI>89C@9NeGoauf;J7$1Gy4CFx#}j{+F!~9cC)M{+-SS58sXXR{Qke
zpoL8!SyqIU4p%j>wK#CnGs!74RS#<8ew5n3z`S7Jw_msm9Oz*9r*03?gV*_1ON50M
zNLb?&^p?PdE8SMpG1_`i^5EVPVX!3<ehBz^JskW0-5dIU*66}s|M{A>LMt?E{k28y
zHW#~ZEBjrS=t9=U=m!Q<R_M}Ba`?bEF8GWZo_%hq1KUKJ5s#|Hh}S=QVD~J>|HBEZ
zjcv3cX`#D=?pg^dI&I{B<~JAmT*C@VwYlKf+*H%@Rf6&-@vMa}xp1cUrdsVUHta2Z
zsON2hP|uO9kV(wD1h0-gZYg4cxV18G%VvaHSA9s|E#`v%7;WoA%o9rs2Fh0@BebZ>
zN1yzZ1N}CebRG<90mrJxz5gsiHQn>V__iF7X=W{qKSqb`KUV&<C_!l1PtTmxGB&u-
z7iy9AYJh=l7G>x>LaNU7Y_k~_w0~OnfI3Ely$#VB4^Lsf@UJ@l*m4$>-?6%a%cel3
z9eJv6A40pLU9uE0ze`;8d1c;i5;RbkrTVYMyx`P}r;Hm6c(zW?dnkqg(?$;mDs&OD
zE%-+uebWMO<<AwP_i=D4_FK{)%xjt{Np7<=El^H)8ee3i3Xg`iZ!n6Jpc(j=UATr0
zOBEh_x=5)&=fr*w&xH~sYZx6mNY;e*BPqW=d{qLsVGo<kL@~-+^dgjVP8}XEru0||
z6@h?zKy90~Lb>+Tz6et_5E$n)rVc5<Qp03naikU65t`L_zK;rpL1h~MrsW~(r{HwL
zpe0)FWF*^FK!Kkj2JwlT<RK*Q&yMVkmT0lfyzY`1GQ7C7U1h}*dEmq-AAR@S0*RU)
zMyQ97z|_Zr)ix^!H$Ez^G+1GQJ}cCyzKJEmkal~%g@HWSD2Jx&HHgr&e^tHYQUbX7
zPUQrjl!x6xcO!O~ix7E>f=S1BJPd5Pd<dtb0OD~{g5Nc)=O^QGZ#v*%=|00{1wRxZ
zw=hj{kEsy-@LIUc2kYz86{1|PH%s7Dfb8(xb#oM^>Yi%gii3YS@+yu$6rpx8B)eFe
zqgw7j-=Qg0h+NQ6k)fgt@uXb+iw^|I!GCE%;~gwtZSmU1^~#X^Ws$0@2Nv+}u6dhg
zsKV{xUZda`6)<6%-8nhHM-!h4yv!0+Ax-y!tfGS|C=MlYtK#|S+?Sn|hKE(*W5Hg=
z90v!CkM(80)cJ_C^8MSKB2_rXJ8*O}0S`R`l|{wCLuow>o4Mzz;8E@pxF1h|`&JD~
z%s?KhVEx`ch51RU+&yABiwM>gWs}V$9@=8+j28#vK&Hl>wgJo4^n~2@@h4`8puY3$
z;kP)@xmg=66HSJiq{=7s!)9pDBfmv8-grozlye{e1&;KPm0O(6kZQvp_l#jYTojUx
zK4U&x<xjX5N;X5G;yn#oSp@J}^E9I-Q4MU4j*Qg)Fhy-~FUIX$iSUL(Fie)#fVPR-
z%a%VfMHSxeW)pN0#P_Z{Zjhk~M(0D+9@Lm3+h+n1L7EJ|tNi+oVZHmr@9OY{7fjKi
zK*9UCKV+zqRx>h*(gK~iZScI%6m1^5yLnuS3VF9&g6^+pz`pgnaPk$VC^~H;Yl#{S
z{s#a6|Njh^cRUq*6vnOWeeKP)E-sgQ?QzdFqEtqTie!{Rl9r+nZ*~%e(m+L#k(H=>
zl2H<+B$8DcLPW`a{rx+CoX<JG^L(F2`l*J2sSObYQvIego>3uya*Ln3K@MNa_WMx`
zR8hKYsbu>PDp+ld4^E4hN5?<TZoR5%D7=Sz(o}&4HG|28OWg|ScyRvYq?9_+&kYcy
z{b-=wYy9_=v=aK>z1UF5r-7cftU7fMX^<nj$=aqv2^06MHdV}P;MK4ro9h(~;S5VQ
z$|WeH(LxbHYfux@!gRN$WE;Y`IVt!*I~7dqRhrGKC1Lr>X^Jb+2rQ?Citlp}@n7u0
zD_Uo?P{Qc&kshWIgb@Rhjy@w|`S6*VV6ry8=w>V)J7^3qhmINtM5&@hkH?8uOl?$B
zwhCs`HUYEadznp!YS_njf|jqRgOl?CVUPZrz^<kOvG~twXg+wWIP8QDo;S|&FzGM_
z<=J3T*njF+>{~r;e^CcbP6{@Jl$ybwk-Ha3QX07RM&dksqz>+NSrsbFFo&p1{yCen
zHIR6=-k@Gz2fMEONj*Mk0hY^pV_9sPnB?1ei|c_l&YxyKIJL_X*shi{_}nzHw5au(
z<FXbqOPnJ846VRnV4_GkNfTZEJ5A^l*TTTD;!9*!Iv9|mDEaxCXxzLjb7^($U2H>2
z!6Q2Ct(<NS%+*8z*3*hzPuKbqo;=a63$WnC>>W6+iB0SF3vv0W;}VBj!sa6YHtIK3
zHX3N6ip{3npm9}vH~8aD+FgJN-lf;CJ2i02iNp;@0*GjQWwfjFHNf#N&E0-38u;mf
zWyifw${2piz~{|(fE&uHws-5)aW-9$h3cV%gc$#ho@s#UT_1!$@~NZ8>%O~JpU7j+
zubir^aR5F03fCKsYS=dW-d1o{2G8I#Tjf502g)tyKSipdymq7S(k>~~i2tS0S`Xm#
zNd8=A0TC0{mrLZWh~v+kYh@f609pq5k(JL>(3!Jt)OMJFTNWR6?)3ps@pRRlA5zA%
zf}Yu@IYlut`_jEIO@M$@h3CC1O6b^qp5uIoFm`-3+ev>*2VND1Z?KXQI_w$YFVz#o
zNPWkZxJ`5@E?r7sUQob=Il{f16+RpUju{E26^!LG4*i^#!@l&s>Q@Y26pYw8wvKEC
zFa3gxx%SH<-?yF_&M9u}`)g`I$hL$D^NP*Wf25I9D%?1Hl?ywRh^f`AmQYWdu4ug`
zh0?D(s+{+6A@k(93Z)<m5O#n0hs8${FJ)P!Da&%9yu&%=E#2l&#hGw98YD1>pE9Z@
z&V?rF*}FLz=8!7mP+e*vj&oc8)*ar&g-6ZaxBXcApBi3u{pYud;en}|6a0_3P{ekm
zJzUWYW=ovIyORj$XZ7#WqB}R9_#n<An_&uHenlKx{3yD%N4et+WgdK$KD9@U*A#TF
zeSPZWAd2@t6TZC_;l(XGe4_^AOhBAdGM=+j1U2t-OQ)*y;qC|TJLB0+pr^J(b^Rd`
zw5V<)Nqh0*TY)rl_jAV3NY-OD&=f%l4#h9Sl>+!KMuQM1U<@&m>FzWCgfXzux@(>!
zgz_EBake=|uqRGV4~K;D#)My4thX>KhY8fYCK<tztcCkS1HzayWoMLaDuVIerCI(=
zL!e06{dw?P7#o)P*2fY>v44(ufw9vNRC6;c?#qhc^PFpgb@BvkxD(7(zCeTRuG0Vc
z><~evMbh)PnqoM3BxIB&j|PdX(g#i!i(pbkg3wtzaWq{y%$v5E23HfW$~_Vh#iWn6
zTmL&Mfis587G$Bp*F9nPSyDt%`exLTf*MIQTbgj;siy)j;gcfB5U@;T+Ao)18d*N{
zS&l_gK~<ZFa;AZRDpc1;@+V|4hX3ow+4WQ)c{eL|hKZr%&2O1ie`Rr2bu{j!G!;10
z%uYF5ieq!s`_RY9^7#5sS&7PD1Ms_2SEeE-fj^q$l3a`wu`Q6C_q5*tChi*V^%0W9
zqleR~q#~5?@m-#_vmFLdSYN$GMp6o^9SgL#?^VX=_f7g++YR8vk-|W0sx+Rt|6`N&
z4i&s@*e0sqV*n=ge^1=?lflX#73;rmBcc`2TZ}Yi05z|Jl71G-VsE8Z()bQl6nA>`
z&P9p}slNlO_N>aGXb4p$!cPrvz(tp4XDaj(`#<s?P{2O2&9q^tI_6HOKFYd6g?oXC
z%Q2r7Q7hepL-n)<`dZ#GefgIPz8*p4hia6t;7)6P!8uJFj^puyeKZhIIcDz`ql`I`
z${TzVNEi}M8_EB%#+|n<d7qqB@IV8_di!ZDJbP1xduxm#{9s95l_wHWQSj{28*gpY
zc;z?hNHzk`2!-ONKSaDDF&UUn(n0ShEQ4GVMo>0>!A7=46_aKo;=jGs!E;5v!h4y<
zaOw((aHp%GA>%z`-kppUAF?e|@=d_`%S5NdR&_kAJ)0p=M#iXJZg)Pd-BED#U!6p5
z4djXG6`$%N<4F3J%x`IC;Nlt6e(1gie)VtL<nx4#3oF$bffvo;wwc18mzJ7%(7Puz
z<scc&l~0z1T(*Gci37ZK)tY$hB#+dI0Uc!1esw44vL%@MUmmzBLc%uFwBMd0YkewQ
z>yJ&bf|HG^C2m_tsJ9#U{@~WefXS)Zjxai$+r?gd=l}_~x?kY1X(OR-ge;*)8Gx{o
zmh9w1!X=T7FNQre(VS=BxbSI!oy!NdZZ;(02a?%}UYk1FJ`@P&djU|MyQ%NRs3tBs
zq?atqso{qoBXk!I23)*nb6xkSCQcl*j_Te+MEPqw14VTia86<|;nRo)vexz7UZ1Co
zJyl(bn(G;GbMl>;h@l2L{KzT`?ONME&!jZ(W(J%{QP8LeQAcfSr{#(`Is7<!C*z?F
z1K$2sot4j2!vn){N<jytaqw1}!F6p0BxZQCE#6hd_OS>1mQy6~(k_BR2qy#lr{e17
ztB82&P}lP890BLn7j9;I4-ojMY2Up%6?~;Qmu^xfg3=BqPL{a<zayr%Y->=)Q9tLo
zk^Ms0a8Uf-^iF`KnOXNwsDzydvmcTL`0>sg`iD-!8Xu2cBkZ`Oh~Y;gd4%kEkZ*g}
zjp_?@_+57-c59tHGUsnzw&mhN4*OHgrWq?3<q0SY{w<4AF^7)kJFG*y=D0A9tyZu-
z?A=CxTN&&%r1-Ngv!e=^V2eY!B{b?*U*vuug<>Tv+N+Z6sBliOo=?CM<_6E}Z?Tlb
z!V6-8>8Wg3k(@mi9%um}$#2?&zKJ7gnBo)c%7$UPRezs+VGa^%@mzD|VmQqmMRN3H
z!`FgA=Nq-mA#r`*M%F6?l$*PBnUK$hd^sDdKb|*(BzAQrYQ8Au87obGmu1Jv<e;tO
zzou}s)5CT2xd@uCpYGFs#*TI?U1^*?rf}j^g0HcF2$sxGs2#e<f#S9)H*a;CK)GXw
zJaLV$T;va<{{OARrKh}ZCe|kK-7WvNOt%moJC<bMn$3wD$?KxV9vVYnvqWkkn-IER
z6lBobxbXRP^4USEF~linn^yP=V*5$2cN?X6a3(!O+N{zDMEkyfmzWVi<$X)@#Iw9u
zyquLMZ)^nBpIYXIDg=-#BDueaiyzPTIW3m0aiJo)?yTcA0gUSVQ)_ou09RLQwPiOO
z!sSZdl~-#Vs(I@aJQN^=UIe}F^Mf>CtN3lCG%J8tb&tRH%@@XDvc@&W2^w_pKT)*w
z5=3{}@THeGMev^QwzM!Y8tlE0SmQS-h`#0KMe^mM2rYY)0&A(z67$tsqEHB53EFGy
zd$XqZKJ`yd@1cUnfDccKjWAY{vO1ov6USu6Hd_H<D#$<EG)ij~M(u$tf!$jqkOx9v
zB(xX+wN*?tf42yVKG~|jt3(n%`((O@#u-3vm@F#~uPBN%FKTxyNn`y(A<gX@4M2p`
z%B%9l+8*85BHBx2(2~p@F(hRG?#k?W3)cv!PI;9t<syeb>GOO!r4K$|ADm{yi{U|b
zM)@{D1@!fpGau{H2f~ZZJI4PL$EPjcdL3UBu{QIl8VU8mlH9H7aYX`siv!{*V@kNI
z{qmvII(;bB*ErtUB#FA#<5BvP%6MoF;|<s9>$`VuI=xOB-|DYVc)YBFgMMCd?%nz@
zm1pz9%ToqjX3OjzORD1Y@kkD<1%04=Jf*1fLKamx>YTF8)bM0?ai=xK0NBnwoY?Fr
zk77ji7<qqnJeReU(GqR|XJ+3n)DJ7*iS4cL0@F3n)#(^Pt=j;~T@|+;wNt_&SMw9^
zpJ-yi2^q25Yn<iQ|FFwdMHy4}?>qeQ8wm+!hob#Ds8CaT<^wC|T7R89$^u;4NZw4}
zYkH6dN4_ZEzd5ObziFB0#3gj_cuUNWT%sZLSy&wJ?j_>USWoF^0%WvZ?BYH%Z3w3w
zzlXOrsUj5E%4&ZlWAC|)CZ+dAu$PaeO}0c0CuFl%zFgKtL&wnkxlUt9Z-M&xWOcMY
z?ab>dsfQ1X_)^aHn?UB#9ap6GXyAs6TORv(>tUULhmG++Q^+^`75;&!iOJMcfl&c^
zsK&0c?WBS^NX|&l?dw|8XWDoF*CahG`m$_axM3}KT(;`_wU30sJO%M_`MSu6HO*uk
zu>_%MsluLq64JDP$RB@A#z~hJHFBmEkWQSxzoe&y{JV;aGpcp4&qK*w=r$eR$2Zu`
zdurkMrW+PQ?%KFTSIlj<698|zd)po#Eo@5mJ!AWrgtdh0sqT*fc(@|srp&caVZBj_
z^Na@4n^vUjr5SL5cH~UyI0=Q-2G9F(s$=4vvwVrZ3|J=6gnl0-p;e_wS3id;DjoFw
zc=<8|d`y4cbnDT?LRn&s%d#@2(HA4Ks~K>cJKQuyQWMY0e;uMND&m6*2{CbGK<rmd
z9-5g38g7<w=2DeISMn3HjkOFgB3T<H+NvYZfn&p=iBdT5;@nTRYis;+$e2>GP{Uu=
zeAoNU#L-BEJ9YmN2Jo_dPbpDX#iQG|j}%yo;*OKgY40o;a8_@-K_L$j+lAjY-`gaF
z!-W^+ZZ85*smWiA#*}f(xW$F64qmJslR2*V0AQw-{oPXgnxF9=;Qz|Wg;vG8rrdl1
zVsGzuUkOq~aqe&~%W-zBg!@$zf&eb7OQ~iq^0>chQLy4LD+;d;stg{a!}BKxUdcJh
zVpeukPO$JQQ$A>Z&Y{5y%Jwvp->h*_U3BDR5q*i7q`m!T7>^a4>S^uYc}o(dwnx6x
zc3EI%`;W@}-fjsO$bY%2StPL8os0X3`aE+yfLm_iwgs4D@1?mYF)V-kUTjOjKW2%m
z=jD(&b9kZ3(;KNmKxuWlKxpYd=B&`Yh8ah5U=!a!;`}axUjLFA)%x?yrdMU3mI};Z
zMELsRr%qvfwB5m&Dzm^WR)R+#R!t%3?<tt55W;ftN~Vg(B6IZS?rZhlYxyFn^aL-5
zAR457+gmZP#GJdH?AQ9t1QLDwoAopJaT}NP!KQ*0<~>?Xt%!~Z>`2%@zRQyj*M-c6
z_c^g(rk{IvQMNJE^ayfBdh%l5Se^ZU`&co}enLKr#~8+AI##nU@F36qW-+-;HXP0V
z_I&h=5%{k-qzwPz#{U9)E|&JN<7W!v=k<Sv5K{Vedwn7|%1-PfbLy`{98KlvJZ=aJ
z$<nlr4cz!4D>g6XCMW*W4e~lSPlKLF<7GY?H>NNsb%q+;NHx7P*&9s*;-Mpz)$6%2
zottkVsD%d$#O-sw@Y6v5W?<;<Xl@Lz(D}0(#fOl?CieUq6{>pQW{wYX<3d|vyYzMe
zbT2gEETvN6^sVn{IsQC2Sfm!B<0yo|G@|K?H9udPayD*CfETBlr59$)h4I7HrHSo_
z3_y?eWbx%kUR=+#w$1Gj!Q6f6-Z#Y!K*2*BT|4;jp7gV10t*3e87CiGda4h_#IN6G
zM)`5_<5JwzdNJI=l3w!Ws6Nbg5LSJNf>`kFv&idPYyM(e1ua`wAJ~na=%&UC;r$@1
zrp>aFIO=X;+y9FKYU(Yb9f`tdmGjSMzE}!rlJB#jjslF^><<t7i(r+~<JJuxGAKE`
zOC~0n0%DHAfd}10aYRZZEJaxkJL0b<9Sfkq#(;y82|EdBZ%zIDnp*+O=cJUyworfr
zJJXX-h@q!&{eJ;mN+{*If8+>IKy=pOv{}hoPRmi7_$;lAF+<uR9drtGNWC4hnU_Eb
z!o!PY<|@dRJoqJgGX;YAHcnE#r7+E0M%g%+h<9|B_wfZ$fIBBP#b-boZ?RvB3b?0=
zep(Vqf>$W;&Z5KY!*N+u6>GeaHmiot?%e<E`YGVtzj@VCQyxnXZPBAUXyBi7Hnvez
zeW?5zW?Mb2fCHKP_7n3p@twWsNOGP&#J#Qy`LtgN8)6HTzATe)ad}0OtZ4wzTE$0L
z{FJfn+F?(Q?b@i-e}C}ba{~|`sQy#1R|N;ISn|Fs(7_A5Z+;s6x8^G(i0gAhh-fKk
zzhXK_#-*yeh1Fg(XqK%_QHoH-ty(PEGON0Hra6)$+tm=nw!V4sI9?4cigiJAUJr?U
z#61drM!<P}=!^3Ob;QU7XNnI6E$*DE4oNkJR~L`4@?Frt^kZ`M%t8t#HMAV^?J$8A
zlH1<c7)=Zxu6g#hje_Ui=-T-zn}MFiH|*U_LQ-+n^PFZ1s$RL(wIkXbPX5~#F{Z4A
ziB=&eoHHpHT)=aw{j&wQ{~5lU*`$SR4HW(-Gzu<Xcz1zdV+E6Q9OZ%xZPdAy)UUf)
z594gMDYazM!Q{B_Ih%{xcr`0FETxBxmO+bow*ml?Z_RwytJ224%$%tOVI7RtIpEwd
z3n1vWdz^Ml8~=t(9aH1f!mPODlzRsmP(1y9&o&=zyv8IM8@6iTx1x;0&YcY46wKVR
zZCndW4CAlf-lv9HT@p)0lGdQKFZW`N{Tc_QT>tjXsbHqt6V_2XYv70wiMn`#gmkZp
zTcxQ=NV)mEaNkaA2wa?Y-nKTMY2NOf^<i>odVXN^`gZFzUDY%357NNdJ4r@e!czEb
z6MND-3u{pObFK5Cg*q->d)bi2FNVp>gX;!`tid+q)4#|iRs2=J3>-Nkj3az?`GZ{y
zIBvFgZ+Qg~)xQqzdXUSDp>o|5tceVeWUJjg;H!e3KV|k4%-3Ox5DRgGAp@EzTPwec
zD`VeLxkn)lEa*G+nD<~Gz>|@Z9kn+U@js4+$6M4Fm}#k@GtH*})K6JTkC5asW3P5;
z^Nv|&KZ{_3ofN=x!7n9$U(4W^!os%+UB8$+8~Ce#@2A6q#{S0H94VBH{%GIr@`FkE
z*jA#EX9b^Lu<&{$NMPvSEhBs%zc8Kq)dQycEP;*Qq-lR$41bp^U9OcIVS00hZ@eVA
zmTL~nbG7!1qWHXm_2u><W{1zL-?Y00+%HlInzRwY)LNHouZxD5!$irL%v^I=j_^0r
zy(5JF5=nJ|;loVZ>se2`M%VJoD~s#mq5_zp&z+#j_nBF~t<mQ_)eJ89?#|!#oEK-m
z|LT@79cAv19vm+@X9~G_55rWOxsi?EOMYPZ8?$yH&(>wY1TN5;CHHc0p~%jTYYRWe
zm|mBb*elIUAT6gd?0w8SbaZW88n>BbLhERA{Z(V==im3q#FPVVT=a+!C#IO+R(8H}
zWi<xf^u^R5b#`oz{aw8K-EXGddiPV_K}PUMqxaicJ2rH2o>iXenq_KOFMMw6HH3kY
zjE^5KvLf9({=4w^zsy*Tm`~B03?cZcgr5{2E5<w;YH1|QGo#pdUJZRl1E&kZ0(QkL
zNVF^dMRs3g7U&BprCQM-&HBMXW+)2|JSg`&Qnk$VJt=<v)nh8Kes&_;?_fdoX9*KF
zk}TL>5Ojphpu)4aiY|-3Ea)-dM@;r-#Y>+h6z;F-&*jFK^c^WIXznl>PHSRA1Ljc<
zS2qKwTygqo_KpQ9UHYmeCLCyYp>~7D7kvnrY(DbNlojv9TvWf&v<^pnJ@#6K>x1(?
z@z{z6R`e2+82uZ_g}EvhX3B*1A!}kN?ZH|uC9>tHzSrf!LrJYwx%b!fUu{N>SB4!W
z)J-QZ6Zr5-IHgh7i2}V-Nj7GG*s<)lUEgy#0i4x6x@7oM53bl=X&3p$fnw`r4E44M
zp=+AM1v_g!Sebgkd5@bDRZmG!2D^o^(c=58_AOn|N};j&+i>AqvDE&Ta-!%e7aM+0
zL>I(rG8;#4a^p?6ge=xG1oYSB+j%#c3|XztV-iGO{LcR3>4QZvyx`V6Vo4yws833U
zTst2g$Z}ed%9cP==Vu!#?&`ptsQ1{`>jL;%t7cu$HYv1G*|8_VSqGv{lrL}06+%vz
zj?@lA8SHsV{g=$617licDZ9Q1BQ>_#z|LF_Jvvi9y?L(<4uqK>RDvkl3f)u42v9&;
z@g~KVN80e*N%*UbCjs-BmsbUME8&FpE(-0THhewEH+>An)^u&zeK=Pcrv+HZPF>oN
zI??wulOcggKkv;uO{w7f50fSj`E}qi>v4<gLz38&!n$?LT@@n*2TsKV=>UI#m{s_7
zY2@vzmCf!_!!(0iW!f`3a5yjX*xd+OY-O(u58SPRySa3WuNILZH(nr~7A}up4*5mw
z`=^PdJES0vbY1v)hJ7(8LlJB4j-A_>tA($R+f_ZS(1Y0${fNO)C6s0cql>K$hR?Ek
z3MEkBCTXFOE~J8CC5<Bs-^tiQZj?Rip%38IW7%c1=C|t`Gy0<S@MEQ`uH7aB*m2F-
zx;a`EW8*&4t)nUUpf7HHjXxEpk5$NeHLBsUdg10xWPKz=h~1*(uieGf8#h0(YoOx3
zCpGI(ADPr*?lN{GaEyz*5=Ga<^Rdk{t`r0GT=%su=$tV`sb7^34<TXh%GJu*V+QE_
zO2#o+%@jyAZ4y$6T1YRv+AEi6fH`3yUY~o-;CazM22Z>;N}l@kjO4dgpEyF9&ar^w
z9Zv;|y>*Z(xUzC&RUbK`#d<_{uJJBrB{7wkjJoz(Z3It!Jbh{Temp0@rq03~wrDbb
z;&@jcaf*ToJc_-?y8wic{c&v_88zgy{v|MV@$PnN21gPDvKOpM?JCJQCN1HqK+-`o
z6MIJ`4Qt?iQyQ8VNXB;`G%de5kkEHhvXc9@HME_UV|oth;5w;)ykchRxUh8ZVGWB7
z7~DP>bx%?Ub>}T&_Dd5{+d<TbU}^(#*WbpfNoeDgJ4;3-n-cEroALRz#RiJr*YW#)
zCgEne#Boh|8C1#U?r*ZS0c-yLjGYOZ=zMX4r!G$n#S=fTZc?y;-($;(?SdM(V*T^p
zyWK+A5<EH0F=P#PiUJ-v(Q5ctODRgKloQMHnyV_$Tf-&(q~GS>i1=Mpw5T>>h1nja
zU&W?p4YRy#c3zGu_?hE2xm5Hw(}la1#h{r1kE-m0ldF{Q{adO1p??OM>W91h$J`iD
zb+zV)s;dIBtiCFbV%y1VsqxU$8V0D0QoZzfmn`PB?9UXl{Xj3elbgFf7+~esOloJU
z6t1i@D-@6#rJMY~AAf$)!DfdotMr68;=cp8Mm&Dfv+o|KuJF>~p0)bcpOFMy-%!C8
zu;&;3#tTDphPD+v6>J@EuoA(cT=o#(&MCTHRfJ-VizV<1(zem}3ZimS)gKr0X?n%K
zOo@+YEFj*W`=xXlFPdmM1bZq>)3u%@yY)UWhyJGzHQn5~FmG5bP9b-S{=(MoP~L<Y
zyo%uz=h?x5Y9B-FX9|ANdwo*6S@g`{UQBRrd?_m`|M7P?UN%7w*~HjYaoiN%@kSSJ
zS<6v%uELf1(Ld?ofrTr6O(xLx=Grsi@C9aH_*m5n?FW7MpZ;pAqzOFobljBD@t3KU
zaD9OP^H;jhhK=TFp~et-$8fvXl^JHckKq33t6%6Fbv|DY?J$BJ22;<%JExe}I&z}6
z1dh-@T>k?keIxLEqk4eaJkAW6(eJ+MK19De_UcY#wjmf<{62o@;&-NNq-&_qn|^wG
zw{0wq!w~p>wcjwF`NI6+R9jR^@1?sZPmq<4(m;e)X1c9=m}%eO62QIOO;^3SYk}~c
z3f>!X?A6=`m?qyYJ@Vy#OLwtgP5kang}JlBty<4|nM(h#Rm}S}y&;0Bbn2r43=0bT
zv<`GL6ZaZRTP?h#zl~9qF4}1T+lx4NuBLS{vz3PA?CV?UCw=dDxP8)x`$Nn3x&P~A
z>QBFQJNNe){ZSO-o3EcfBw%F8{PQ-Zw8uxg7dMgK{D7KSH%<Z86cz8w?JdkPn%k4x
zUiI`8yQ&iUNeWyzED~CL^ciz$51WFMb`5=O#Q5naZVD)#3iZyvi%hN9xC615D(LyX
z1rrNKdJr(QkIS^Qf%#yhw&ay?G2O)YYm=z2E;Q=!Zqw>{$czj0vi&wvKu>a2{m^@H
zO@~7tG)a_KGed;b21zSd=>9(?LN#CLz>T;WlK{m^X0#S>d%9#A{eJ)e0RR6Cmw7al
zUmV6mSt?7G8O&H`F$fVegJB*Op;TJ5QnsR^Jw=JKL^~p-h*lC=Dw6jNMfPlwN<vwR
zq(c45Z~l7Ex#ymH?z!*xe4fu^d517)pFS7j{;h^y@(+mI*i*&DE&GLQ*LruA+Z!V5
zuAKVD&ijPmy^jU2e>ZVp((YvCDFcL=*R(!ebB`cWIpgbkVu-m<@699I^dS~{bKG=)
zCNUU!<Gzi?MIv*-j!&o9`ZzS?FS|qMF41{6dLW}Wg&3Qko-Gr?0n12e_jAb|LSJVj
zb165SnCFsqP_0D|?G6!v1%0=Po<%2GE)U%#LW?z3QcU%bdi(6F13kA1KT4dDW%^y>
z$+k59zIZk$$ws^51b2vo>2iP8_-7LmyYqd+Cs}ZiTX-aG@D8zU7wvE5?OY=4^T5bm
zZx$k)?bXZ%?h;Pi1GUKy@`wpqz>mgPOyvKbPEE7OBIpM%yIFS>5OluUn$CqxXeg<B
zbk*M@a?hqlcCa21r&_56_lp>~a;Ro(bK!krS<PHQ<Fz89Yu@-S)A<bWMhaYm59AW|
z?S@X3OG*f@al16<TwOE-l)|$}^v>1OvKq_@!Z_l(;>UTqP{^ukyu!&Rmj4+dVET+$
zxA?N-hXNh+{Tvlce^Efx@9a4tJ5oltcupKJ7U-ZM$fZi{;zNRwXb{)fUO{+Xk_mhG
zLK|sM4=2vJ{Fo?p|J^g~#|t8#Uj5f=wKkqE9@~@NQB3^G&)JsZ@RBh2w{@>=wHCB}
znhr;=e@d)feyYd%bq(QjyUF|hs3zj-WV&W5kc8&PWeJ?@dSZ7xZQ+QfCW?-(+O_EN
zGh)V(T?3Z=jl|8f7SrFlY9P49dRyf3aw3<f8Y6wPi3kkzHFAxm!>G@Bzpwdo;#_mL
z!{mh)qBP>$@Z2gIb}ZQLG<#Vk@q@B6BB7v-XpysBuzVH`XIX1Ik^Yi!sLDSfq0~X7
zdax8PuTsa6itG8oyjmhdI6TQH=p?+j=K@F5)bOce{Pa)d24XoS@AcKx_r&%VO1<@%
zDw>;<ioA7R5%&+=eExU%1Hl~syT!{{6^BM%xBS=JM0f=7BfLsJ5?aNHhh1+`apU?U
z*OhNt2z#H5v1LztiP>iz<tHVnFlGhjN=dyY?i{;)IDh;T@r;(_<+784)iVf3|2-YV
z;p)~3)4c<P!w;S6#ce7GjyUw~nD$#D`?qwWsreV8CnPfO^CA^!X8C<%)4PZ}^bH;3
z_9H~ehh6XHKUT&&`lAJL+-_p=xhUN&>qZG?vtYz}o-*cM=u1kM>mgD$I=<N{93!T5
z86N7{N|4iDG3zO<kNEU`Y0*dbpM*#2<u|{KmGFDtFYmwJpNW#IIt_D+$BDkWRm)@^
zDx%-6YnjFH0O2??&3E6%-^6&RTH@6Oia2&pOG>Ql3vn;0JTTYkFL9K2jiK5)2UQJ5
zitj&<5S?E<t3EnRBUk1<DE$*K2b#hTrSyVPf|X@Z{Zdt&Y)~-I{3bgGQ%x~?Tkebz
zXJyon$!Jd}OQ%PL)fFnBJkmf}ru8S$?Xc<kLoZ44_{!@>>01?$qa(b+vYQ~@ou259
z{VYvVT(XZp*HOTcgHZ$HW4{SP-7oW7;Vd#Nyl|xEl{^mZo0)X_=U*a!P}W4YO^(b_
zkH0K9B991(^{;(zPb1IJ))skl=8$nuJo7ai<uSas^+-j8IH|9FNvDshMCvKs_%vZH
zkE5?PSvXyqP6o8>H79IU$ix!`--kBKBTt?c_U^MJIeblU@klzAO#Zc<DN!m9@1(K!
zBZp<kJu^H8zc{LsUQRWcD@_$J`$k*-o;9;cx^wPHDZU2jR(|1p%zXuX^WA4!A1+VE
zbY)(7Z>3GDp4F88yLk@w*S|~IabgZxxMA~_4hday#fs>4vaX8Qcb)gg^`H`Yos+=`
zoMey^+iJ2x&naQVD6%>GstVcq#PV^F2Ae!x-znW@r~<xKL-pRjRC4Ims!ff%Ib^pJ
zPb=4w3ifu%602l&^0>mDOAX%*$jZ4Tni7p_m_=PV@nfF`ncKT>(e*SVa!GM=fVqqY
zW=8r4l`PgKAN-eF&$pUKa*O2u?F!dMi_(Y9e}3waJ5TLQ;^mo=vv#U9pC8u6pAAm$
z(#jd6XK2C7wt4f(ih$_57v8e)%g$2pJDWv1C45y0%`zvitj$=mdZRve?oP?D%GD!B
zLoNmVR^pO{_O)jEhm0Ucy>aYUnLf!$kvYm=$0I|f=2u<OFhwS%#`$iiA^Co?aQPuG
zJ~@1}T9ei^AJhr5e9IRjG9|+Hu$j6g8P;8R!o8V`W|th3ydD#>FgRgw$k&pz{}@Mc
zSF%Du>2UUiws~asX1TqJ#+KxLm1VV*5F5-paHCr#*_5n|^b#-J!YAkbbE<YY0I2Rg
z5HM_HM)nPg6-NE!k~^Bp;h?bq;x9BxPRE*&18Kbi{-`-gdapQPmbMW2HmQiYWkz~@
z3ZEst&5Wci`OtZ5U=gNYo9cLZ#EiVrq{3e_VoWMNt?)J&ut$Gys=>0^X5@-hui7dv
zb4Zn{;*)s^4p>;OIvKFelyt3iuIJ9xCC^dXOn(nJKtn9|VvyfF(wnI+nKMQuN2hLo
zavgTSP{uLNsWZmp{zH3QBiS<K(?e|mve^#!lx)x^Ib}%pzu*oV<n<Ci_C|fBTR1?q
zKu7$gtv>mEeZh#H%eb()hLaSTXb&kb3pZI`Hrep8d+RZK8BpW5$hv%3gj+9GA6OjC
zATQpy;o|je4rWYM=IUyR*7uA~nLpAd@90W=82qdPe^1Mp>P-v5{!2ZkI)hH$`z}4S
zu2dCU4i&^{r7b|7jI4z46NNl4T`|)sQyp>-{5|)5wS%{_11nxrk(|cqUjN^F8kT0q
zmQWVkp~OUX;+Ov{@~xGV%-t9|q~6D{KV<{94OcfETPr~(wmW7VXr$x!_QzYF>j2aC
zz1(q0a)NO4`8*lXM8~E6I(vylLX6Ba%Joa?Bc%T5?Y?w}j_M$pUbBt1P)MPbWFLMY
zY?W5X8}p^ZPH9KV+bA3KC3b8w4f!mbHgAuMiy9pz1>bzDDg-d_$?ED`@Kac#7#o^X
zN5h!sxh4II0*uc6{aWhzU*Y8!ZMK3_G>m+udF|L`jnB>$_PtzjJo-E=@oFs%nKtR4
zD%!0OmUkzbp)QGv0R7}sJR1I-pQ7G#u>y0-G$CNF42p_pJ(+JrL({I(32L1sns0xt
zGyO3OYsA)<pRuALD#A(G(#;Z|+m;ryj>@5><lw2xTWFvOQm*Xn=cCuAy;00x0nIyh
zv8z&PIQ3s^`l=IrG&cBX*@w=-*G1b8P$p=Yvn_GxJe!X@-?c5D9alue>f2&w{&WPr
zR^2i6iih<>iJN_bmGI|VwM6uHIyScDB%F)np-l2d;5|QO{B2mQvMgQ$#sNAToa}gT
zxt=>KdxZ+tOHLKUJ8L5Lit!7_89Yp8{3=zkpkVvWu9MbOE&P#;mwWPxi=67CmwBpG
z46Suioi?F`Ju<Q5owvBCn+P$S`5zTC_m$Q?I-rd#@hZ=;2rgb9n;mWPQ56#5`Q~He
z+PGxX)46gd7y4@!tsbvY!!rJvvhr{paNl<;ta9g~IHbK|OR+j4-RFN+Q`80H^x*J{
zbzGQk9}S`1r{P?Sxfyv|7Y}17-kGBP?yMDiqHoi&Xj(*|n;ir7`jN540bFDVHVo(A
z(!iz8ekqrC4D<(P*|eVI;<g~F**!}W|Lmv+-G`Y-*>3dFE{6-Q^MY+(3$$?O^nRMU
z3JaA(2Ei8HTm*jV5VP{s#-f0UtyT9}sJ)r^t45Ot(`Iq0H3Qn1B{}zCv@IL2Z$<V^
z^W(wO|5E3#Jvw-LowlH?l8x0%60&cX@Nl>%^R&)y9k^yMfAYj$58LHu-teaLQ9m<5
zKPyZZdmY_&Un$f>Zr;1?X;FMgu1;iPIs;qH=ry6r8~`^!$iEoSgBYiN^I_$&cI~zk
z48%%27(2U}gV@b7TCzcw@Yp?fH2OaVG~#W=X$c&3jIODw`fZ6*kN1a-1~9>C@yRaC
z;b889&?vPCE9lL7#rf3AghFEnWlb&z;~nh9)H&AJ8D}|s%Z!EP)7|U#iq08&-DY+z
z)f%k@WOev)7FGqt+|=L5L4T`T<pv`GJZ4zRb(gasC-$yv*>nzSFYTHC=8*tZWRvU0
zpDbLh2xp%-uZQ}wLHBC{8(0szYm}?7F`U%4-C9f!8uxJ8yvPP7c1=PHCL8_HF8`ja
zW5YFmBiF^y7DV9v*Gz3T-h}-#kh#o)u-3|@`MfQ@{;1LLkzr$%srS~JDkknvk_@qa
zTWHW4xcVPhm>j>6qCdbuQEjL59upxt7W-Y2yUBuS)(o4JDP1&Ph@Wk+Rftu~S^aYB
zS*YG=e5OP}7hd5-kJC>H5py6v@yK5$E?NCkRn`&xxAKvTWvN006?ioMjAx>pA2l#y
zu8q(l>R?B@5CQeYscSTu@Ge=(IgqA_>0)A(#EU{C^7+mg*BDq~7JQ-f3mqA(m0I5q
z3DGW}_1`oq0|$P~3<j*G;Z|q032T`U&!1jtyd0y8nG!X#r#jW39-A6_o+3osgs*(k
zgbtj%JKsKzQbpR`{f_sWZDDbz%SU>v4%ABLH$HWv0%MNv#iDI7vnBM<$7XF<IL2CY
zTqp>YdaFLm%odkE8|#lQ)W(E#-FD;cD)@G=eAv3p22FhXPd9dHVZ%qi8s}_f+zYCb
z8r^S$@277*>hsh@3GLdLkBTz5W^Qr;@-{H_xNoQGsR6d6g4kr55|(Hs8@1gMU`o30
z#*$rhu$hA6*2|O-Hf9)NArOEYn)TiIEDer>>{>oe3DW~(>w_AtF>T;sEtOEmv&TNB
zBQun+eB%AJT|U+z&S+krDWQ&z9#;vU*-B8_EPm?sgcaJo47<uVsNv5sW^(>qCD5gr
zSaa42-?g-opS@5;qj5?d-B$@OF1AM;VTtB^cd53^VpTY19Sf5#P{K>rHru9BOVl55
zv5$C5h0E*cJXuv`2sX*AZrEUnwe4HKc}7t&C1qRx{hTsJ_Dy>9O!5&ZRrCG%A}Rv<
zJu~j9t6=Nf^O`{^d|13l{un}~BHYCH<i<xTc(y({dw2mKNtJGs_(#Fkb&JFn`%=Kn
z%s8C&m4|%4j)AHP3O>q&a@!eH{887KlD*1<*mTqEXQEzGD>%L{{yP;bmDjlhx$=-#
zE$Q5*M@0i8x=G=cD)u_i*ErAO;hNpql-!L}%yVj<`=eA1x57HbzgBZWU!lhSeVvMq
z<Ciz|K2e8*RxIP?c`h^^R}XFcO$AS`r6RnN2EJynf{TcskNF3;9raPg&-g_So4V<u
zxw%05GLMV(^PeV*e^7;R%agVJ(wYeE{rEt0wusL+s!U^cs(~l-IBK7b7XJ0n^}I$b
zaHm?(bwfrS@3j7C&K7E;dg6&HztaMt6shVr57i-XFAi?+)y4s>^{ZKp7P!%*YMru=
zh6_*W!M^8oP@=Y1Keyfj-Lt2{A*ADniPV8w8(lnpR59D*wFQ1k4I2DY)j&g3Lf?0h
zzt;SW*qb|O0c}jC_e^O(CjOLN#B~NX&6IedEyKl@M9+f_-!&1r!aU>4Dkf6nvixcD
zxo8av^7Z?sg*BlG<m%}x=mp%*oAl!%BxwDs*br^pA5N-C&1K<48MXU&CKr{3pI?QD
z>wu}EH@w4*jW4_MID$zohD;}>kDk)On_P1?WsHrvIo!#dRXlWTot2tJ(S^#vB&V_y
zdU#g+vqia>hd(=GtQKC^g}vE^fo(H5xG{a6;TJ<bI7$YAYy$=+lNGM_?&n~4cvthD
zJA4!zTDbmd4g=d?7bq$>aPYG|bTq-(5?6aoj@6qmk+9Hf^H&9ZWEy;+jg?s9b|anl
z;tms!lae>w<mscu=i2i&S1XvAENux>6>-~pkxUEpvF^&<a?2qrY^Zt=GJb@G()q!T
zR}A#g7ZO-d8)Xfpw3Ay*T3B!o4r{I%<6yyu>Ou)!0X7`7e(y|YL!czHb4CgWRYQT>
zIK={3mFHi-vWkrp-|EWi85|hi%+B1s)CO6?(bols*a$n7Bb$C&54XQlCRIh8v9f44
zIugr<lE>9IL+xzb4CuKQw%QhI*ULTlC)v1mldkk<78}3XLrd+S+v1!NgORd_jS8P{
z>ptqU5c-AD=D`-i<B!<MS_d{J==*Y)@|ZAdmcC|kPzdwf$MRm%Y<%07Tk2@ZfS=dB
z(4>4JYE+K<`#fUd(=YP7oP{n{d9II|cqiiaY@USO8WtqW<NYg5bPz3Wae@0&2=$6!
z_R}6Fcy48;tBti$AtBJqnH0j<sV=kEhl%qa!m}4|*MyPW69>aDLeR6Oh5mZOz}|xq
zT^i@<$SiqUUt1@H!<~w?D;yc9qo!*_w5Y>1Km6dNC`a5kK7P9)M;BK^)-e49YG^XO
zY+>&s#MLlq#~_jS{Eb<+eR&NPCZEJece)VV<5%{K?9)MtX=mro6BO+G_ICBeOHn>*
zlO_GF+BoPDyRE`k1-Ti_tg=8`q@Ma?y1_~tnnmfpYxgRHDId0W?QC28`0rorEC($-
zU(#i>=8lM;C$8SMxM2gO9T!XnbT#2+KDd3Uq!I+mO?OIoHW<zAdoU!cfvfEH?sc(>
zkXg32hf^g$aid?EP=*dwZhe!BnIar1jkXDH0_2~skiSKtVYJ`%LdTyu*j+z<e7wgR
zj2>Zh2u~fIt|U97cMgg(YQE3iV~w&t)n(-(o@^X>p6od|2d}&`<H!D4;eyeuLeobg
zo)>Rj^>wBq23nU_eLrIbh1biYcvMxS)8ZB^U8IPp)X#sPYFc3+X{)j984=$cULGz=
zP{j3=%Qo!~EaAO*rN>i|uLeq1O5Xjg2vgVQ$VZDUQDQ9LZCp&jjJtkCRr{6Txgn#o
z@&g~mGiM(#+CxG04o1j7F=b@8u8|8o%17lN%`<y!D5wlOPxxF{hE!pZ(M(M~ZnHZE
zZ)sBSP8Ub)SE@k%NZg~zG9JEm=gI9=ra&vs@;@cfcdhE~<H<WkzCE`ne7|Tv(=M~d
z_Y(ydN_OmAOygmLN!hd&0t$3A6nX}$sL)YzYxZv7BGc0@{!Rb|^N!Bc^L?U<kJlC6
ztc>BJ(TH)0l}8czmHxuir)nq|TYluI6BkD%b(;3bP_aYy;Tx|8kw;sJ?^>zA#l>!J
zh}Aw(zHH7E5Bx^MTya*F!+Q(#c^3N^jZmRDu;IrxZ4JDr68CM(x4^aN!+O7tsA7L^
zPk)PtCg$LtSi}VjSn6i`TG7?8-xEqQSz7qUqJL`-vVe>ASFMY+YOp8Py2~Ed#!Q9p
z>wLCZKy$v8)`c_bs8}#i;cu=3H#O&>qAeCsKcas)-9yCxHB)JgLpnImbb7bT#{x~Z
zfB0G={%Z?tlopCS|DI5qPTyyNY3B~v@r*T~=<=p9!k2-gYVIdjoUy>f$&`~r2AU|6
z*f*lgVnVz9j8>xP{<Y&zyQZ6KA^YCgUA<l=j$VrRvGtP${tGX4oWazFt_zE}p2k8j
z<99!s&BcSG|58%&wBdSGXhISBC)?|V9&H~NYl_bqKV77QmYQ=ml~Q`B2-y&_rH+e3
zyFcd`cj#c$?R;+5JrU<SwM##k^YFCo@9LO9T`ZEi>2i1>2X(*R)h)iuL;G{?fVl(%
z&fgmL7gljl>bB+TggzhQ3|f!>MFv_<9yngh*M|e%nM*w6BV~reusMT?JM#xj=bhJw
z+uyu&`cg}*D(G@Mn#qKWb8zaB8hw~|y%fJZXo>M0-J5bEK59-e$n?+p$fB%j*mced
z$9Bh`yqUs6Oyde$%13=%8NQXs<y#}8tZ8&goQ=U#{p6p=`rtLp9=7;sjnIQWgCpzN
zIGH@!v1*4t%ob3lAB+`%b&u<{JC%**kFuVclN=<U<j21@vO$kxd~5M5HVno%Q+vEQ
z2>iO&!t|vLf`mK$HjS{cn{MSCA$lLTl!t3}ueZgs8w-XU$JyB6<0qZ=nvJjjU0nU7
z(-twOV{8Wd*`m2PJ0d;6LaTYFY@CY_y5C;p7*w#~T-9w`-^WC#rEAx~J(0IB4)s19
z!^Uzy>$r2x4Aim@XD*l!!lZP9U1iC}qBADn_>Xm=VV@AbUZllmvtGPE-p0bB*3OwF
z$vTMFSKstg4@g+>Sts0+1;04iy4s`KNQ%AiN5vTMB{vw3y=5Zo<#et~v!<xm4=^<i
zfT4YADNB|xvF>nlMoBpx$0<<{MfDTCB@Z9yiSjz^V93oV5$CIV=a~md0;iXIo#V}7
zU{+_7LE0=eSpI&$>0P4`TQezA94}q0c&fT`WdIc+;*$dLXd!|N{Upvk)WMTHiJTSx
zso>b84QrXH5dCi-uj!nrgWcjIeceUMkPx~BWxle-_FBnhj-r0*m8S>gTT1X)uexy1
z-xhCYgs;mC(t_<3N!tlR5oKGxNRfYRu<Z4&9btS;yg4(Z_;!XO=$0lyk51ZvwmCw6
zrnCmyd*?7C4$Q&bGDf<Yq79x6wJv(nPs7`<q3_&h&w+&Pi4XqC0tA12V0P-QI;MVg
zEzhb{zyg!4MFCm@+%_M||Jy6#fN$OSts4s1T%)6BaMK!v@$1A)B-G&k?8dXyGzI)S
z&bzbS&>FfiP3J!FRAD(0*d|+~fE=eK+3)kL;LVBjh&n-qy?_3U>q81K6U&>UDG;q+
z{-wTJ#Le<ZCDMsI2OXN(TeB-IVW#1C%V~><w;4^zHc4~fQszD)=4Oc(?>U*aqbg8z
zy(*ZPt%&U1`vsAo`A8g+o$>XO3XT}ONU%&)giycN>(UX?I(^~Tq?-!pZI}DR%#@IG
zR`OM%3Lom(i+lbWsK9F=c-iSLC3qX|s&3EYVP)^#@mOUQY>7+Kcf6*IuM?jW3Rm;c
z`Yg@HOi2YvJgalB0#p!N?c*8whl@e~dpD!mqW;kM(P%)_%gh6Ff2ZH(qCYC7j=4+)
z(QRetci2*~$tS@sU_BR0UvJLJj8Vb01xlTZg{n|m9~0s@hl^(>UhJ}V6}%&NjT~5^
z2C0_k2T~g>@Fw_JCe50HV7bEKp*`vdwtOAjn_z)aIZjDHE(L*4#zx~ZXlQGHryS>L
zfvB#m3w!xgxN-HmtorECT_zc4$hANj-zcxQiHhC`HOn(xO*ll2SlcLBz(;2|DfpNw
z?C3JD{v~Q5xoe}*rb%<0nI^rm+eQuDD~i}3MEo!F`<lfXFo(djSm&XvI>x-TE8Cz0
z&HcanY<kR*ZYiyJY*-y++Vz>&rt3n=ZerM_-yEs+x@Xh7Xb8~#=4oE1i-bjQ8mEcQ
z|8LpQbdL{o_^ci;UYX25bS))vO2q<$cQYS88PNcX%g*rL#>6eFg?ER976_Kkcpp7m
z<T=z*mk<jUa*AhGt`p_d>CVWqbaidK@pQCy6=NeOs9Le2!~$m5^77{tXk*^9{ksHJ
zY&eCVNs1Na=4FoNi$ktDVAVZbK0jIyUmMwd@Ah)>*3ePs^r#M~1uokftvCo@G3(f)
z9xfuBx0F=H>B3q(VuO1Z2X`6CVKrVnIJJK%-8-Kl@_H-VzTNuR>Hpm@WQ2#ma*;-f
zuNZJ^OIfshNFQ;V-g;D><Rdg>>yeo|n7I3dGw-;w0bX~E&s}0<i4gxE35WkO!H+f(
zoR2lYzbR#9!%j>5j!`b&9>v0;_!peP+XncVq`6k(ycP1lg@?LIh<rMSIgprY0G=B0
z)89$tUGg(?(nMbULGzU5&Rqsjk#YB#kPzVIxp((I)Uy$K@79Wi6a$zW+Q<2n2q5u1
zY(bT(9!~sP%4H_#BV7O7IBl1R|4a6qb#u{!n7iyEuR#u~U6XvnRc)c<q_ptMc0D{C
zG}O9D;~?~K@N$(xTja)NIC$;WLz929cBi2pOg%4prP>K$HqW1+x$D7?$2+X7%?7zn
zzHH4CA*gx5?Q=}^AQv~H?(~m|%*YniDS5#5R-07&7d8qE43y>S7#MQ27n9%t+713r
zmoBi89n+;@7q5#o7u8)BuLKG&dPhj<u)(zA^7Gc}U{y`r$A_N4r_R;0S6yY{&WJ6u
zSz8;CLk89te1YWj{ngSkEJ!ueo_*@qK+g62FPl9e@=g0`|7~UBaLI;r^&A>@_ozPW
zUkY62-Y()4Gmyisxa*RlhQh!1e`%Nj4^LJMCe2`A_>|4M*oRaMIjdXBiS9384-MEa
z)x{ycv9MQ+f+OF9U9w&ZA!YR@diDh!m`xb|y&9&B+}f{&I{rc|W~raO(58)_OLH5&
z<}0CObEU@3f3^_%b&gqTX+tS@^ztb+MWoMtIh}vn7XJeP0RR6Cmw7ytZyUv}*|#xc
z-wk8z#@LrRV~L_7Dw2{ALLpR2i$aPDC8SW67KJEVWh+vaw<M*-_OnOQLc%+LKGz@j
zb3f;EJ?DGQqhN=<wjUKRYo{(8Xds3g8)a3?#I5n9iB_+7S{|njdkqo}i6Sq5c3t@u
zE8IDiQE17K!xPDI>GAg>*!X3q>^%u9aLcdz*e4{5hJ@C~bD|<}U1wkNHNz6o_cQv(
z=A_Yic9wefvM}maY=ylEmJn5R8t$By!oKu4Nv&PN@Jck_D0tBVv`3YX;#Vcn_IK#`
z?Y+YAy;E0PE^L8fl@lJ<G$j$VGq%j_wlEg7UnI<@nnS?!RNKxl3EYrw;uKXB!GhUY
zm0e=yp!eLMb+?lc@l@e=P>TpkLM|DGT`|MZhZnNV3=(F;7;&%Gi=t`!LE&=>W^k9i
zW;61d2>b9=mD*NO9QBg9L%d^(tmSFm7vV&>RnJ_1woMF8Vn0NE%}k-*Wb8JnLxghR
z0{Op1G5mP+#OwKM6I`tD_}tD$1R>&WR7@!WR9AodR6i5YI!i<bCd6TU-BoBcTpX7#
zIt2={o4}?)d~eaXI3E4hsWNdOLT2s@{ZfH3c3WIcDEKE1sbcXG9vu?O;>i!f*BPUO
zOP<e9jfie@x2@5t5(qtKxWe<>2<b<JsfoTsJXG&!D`4qlfer5}ON?M~{m-VVheRwj
zW~S8GNFm!OrFLMq5e{a}=G>AZL1Z{laB`nC3Juk@mX(dbn|FJU#3d3Q&reEv70F-+
zU***^6Lfs!D5&p|lR)$OtBDFfWHH{j&X}!+4kNw$><{WBpllR>M|G1tE^LZUSh+~Y
zH{o+`QK6Es%i!6m@k9ZhEn%1CBj_NG`0~vgNFnOvE7u-*C4{{jZ07c+W6e(n_c*UK
zZaBnl8XZx>yXKbFpv`nR)Kw0!{gB2=Ve(1Mhsy9*`HnSibWC1Lndq37f$JFw;pRjY
zT*_0C%H2iByR|wq)eEwik6N5b+O3L3yH`>_5780(IDB-GD33p8w6|;wGD>1ZhB|N1
zaWH-&D;Wxq@xg8v1vTu?x_oZDhYmldf#cFg6p=ewbd|oWhNpb<n36I=HA6;zWtS4x
zbRORHw@)244m1DxhZy0fWrmy>uQG<?w(=jjPk~&8c+ImeBb>^rQ{$>s#`Trwx229~
zVCNu+nzqI$)guaS^Ho8AFfuw#sL(5YS$Oe<F$^l_b~uQsLg4BqQIlaRu6OjbC3%`4
z9ZNqtpQ<8@+V6EcMiYE<N0+f=0{P^WjKV-NUQ~AH?f9+<p@OS};jF#Q)Bdr0t)Lo2
zXRB2+9kswFaMy3MzZv)fbQ%|nSl=18Wo#@~3v}}v2A8Pj7_#@mh><$@pA{wtCTKxj
zC(~ogPjiHP54a@rNF8Si4j$w5*Fx-gAHQRh1s*LioodMx@SYW1Q$x~%@SCqCB^N9a
ze%K{t&2b7O7LA-fWon}00e{3k4=ap$j`JoqQP7t?!^NDY;$m6(f4iluG350tkn)X!
zf#*ZtHj}8Z)%txb_?0zwiyXe|zDz;upirHdqy~aj=cI3iG9X8r_(b|a!C>Jbt=Zq|
z$jNkx&Rb$YVrA&9{3{B=7}wk{)~UhlefthaGhiahR<tLH0t1b|!Z9IaxKe42hJnD3
zcMtBnX;a`b^D8@trT3e*--*A^0`3`6JA59i<8x|qHXCc-+WfXo?Y<89JiBSSSz8_D
zUK^*JJe0uCKJ?%HLO_K)8TvPcrRNAoOuwiCYNF5CM&to$bNbV#zLGH}b11YXO%^>H
zzkWV<0pPzHG~+}jqm)zN(>sPV!uw<t#18^t|Jy$Ha+fM{+O>-JDoUa&TXoQ86X5-8
zg&1&I1&MC^?lO%@cv61mLVyZzKQ1<OPn$B{MR*0UC5q$lxcRB{&kURv+5Wq2NeRrU
zZ`)l71Z-^43ER4lfi$THe_Uxwm`#+}vhKYo!rhJx2Yk22wu6%6t)CQ7N>^<@UMzym
z+Jr-&!>pkcp7dJWPaa?XXlA(Z3FB6G?2(LdD@>X%bB!;{g6h)m{`|EdgcQ?%sPD2u
zd4s+7?|U+Mu-aG4IVk{1eHV-Qx0YBFuWz~`QW_t>=a%q!3P4sql}pLd5_3fXu0fln
zU?S9(y@nuwrC*Hdf_e*#{_XCycantWo~PGxg#>WW@n_Up8f)Iry8ggU2~>ORxka!S
zK$d&C$iv&_Xsij+kv&g>>|DtGfC>Su$;m5>R5eGy%p|XV4-rw0lvRHhK@6UaEdF=H
z496W$>iQTH(a^_p|E`P>#;<aylq;HHrg8d>VTCxdy7pV;3JGI`gKg_rfhqP=g?%I)
z#6kYCCD}(^1nF|bo6}TN?3GuT3HV8X>x$ja00U9*YOm?%tuleI=*(114FS>;2ge@_
zh$8ZZ3-P3#39Lq=1oAHv@M5Iz(#1S6@Jtej*?q>a-A}rRBmzD*&TZ*9KtO%pTmS5E
zWBmD&uGn~yfG!>;*~e8JTde!&uSJY89VBj&d!K+RrOQ9UY>3b)_xTg|&<KA-n|*f=
z5<m{+k+-oUfy5QG!0T;<_t7smmuiT^aV7tf`8Ej{WT&*X2^t~%8FR?+v^dy%G;g%V
zN@CCO^=$QKmY-iNP^g_3hq%3)!Hx<k6wHX7zkGrYuinwEq!=QOxWatTk~AEXpZ8?g
z)A8TPEt-Zf35Fe14#RD-a4&c5DI>6Wv6a#OrJ4j^K?B0-b2;Rmk^L4wZiusz!xhvR
z3E0?QIMC*xfOhjliN~#mNGmx%^~X^Xoz5XsPM;KUbg`a?qudZYeIXfox>BeVxTzS^
zsDxl<@>|V9L*x#f@+ef7h6;}-n_I3j;zJc%xLEVNk1CM_nhfMGM3>H;P=Vev9g8s5
zIkykoX7ahn!cro2!F-=8{%0rTy5W@}dPBT+jvtppCwoa_^>#8^j|KjhJZ}i428FG!
z8|2Z%cuzaKK@GiwQC$LBbeyTvqn;2`MDe||Wv)zhoaE{JT+HH{AvNfbv8fV>B?&o(
zh7{QS;qz5^MaL!~N^Z+H7SH6`yjm1B(3$-|1zsZ~Y_#W(B9|z`BR(pDpOcExgQ3@6
zlo?^{-r7B_{wj#_c*;1{M@9d<vv#<(F}P1WOX()7!d%vcqLrfwH`yR&!)Ie`RHJ5#
z4XdJT^Lw!Zdo9%D?KNFUF@YHSiMRaM$=D#<9qRZ-3o_S(_1<kTMM6Ps!|Y}?C=}lG
zJYt~@jv!g_BeJaj;!C7j`HC9epHd{ejn&2>2j)TlpJwpPtkD&^u8xOKXOA9B)y9)+
z1v6pq%ptVv7PUx+g23|l4d?f3<NWe+Q&+78hTa>eDBht!g<3SaSxy^{noc)O^DM!$
z`Kup9HSoW(Ael$$tb6w8#Q!>Bh0)HrZPMNv=-{>Q3hvd!#6__T1rKW|IxjV8rD{OR
zxZ<nS7!?cneEqEw1Gd!hXQ}xbs0wsW-`>vRLjEfIv0erqvOjz*d_@EH25(+xBv8OU
zq)A9HXZfn>jDy`i4P;x>S4vdXVg3G&WA;(N*1GHa4P_0u{A;sKyhDZoCB53I43HmI
zCI!_}aGWY~{Vq%IXHNIrXL^7E4o&Sc6BgGwyOlC>l(C}HT<$dq^fv_h8(mXJzPnqj
zwUiR7a;h-(9q>$m_Sz{m%xD?)McB(@@SMJ&?*!n?&Hf@oLk-umiiL{eWiT#uF6tBO
zeD)p1SA;ysAS}F9>HZ~&I~UvfD=PtEVe<o}$5cUYkXu`FlLW`eaPHt_AkWL-xmT_V
z9?=@U{<|cOGvW?+6So2R<_})C*D9lXo&Sl&CNbQO@qU>m4{VRBXx;fi30J#zXeJwr
zVxz)-^<Q-i@Exv9G+R)_l)u7g_B$bDN+3Xv&Hx+dIEm?`0PDg%E`%BZ@a(T0`&MWT
zA<o$mgEBeXTkZAJ7vTpRhm>Uqt1r|abDl`kl*L>!Wn*S1FYcE=_i&1{!ma_c2E`}R
z@ZwahkNL&}{{KYge~nq9=&<v^haf3D<u%?W=F5XEf>m~xT`gg7pz5$ZO%e)wY!(Qr
zJn-Bev?$Hu0zb9cq*_7(&h*EMUno4V9{;`7Uc&;0O2rXutQ`Ba-bSS&kO!0lx+~>Z
z%;7g9TR&w)MDhiphUPCkAQT@S?&mRwRR@)ed_Wx4{a3ErpXNoEKDP_ys2SoPt^FYL
zf`9-IMz+5@AHL-59~hlC#Z6g<<1!`$oIJC~#>R;sMBDTfpZ%tYNlj>WXX(2yD?_W_
zUjT&O&maCbV**#3_Vn2RF%)sctFPn>VqD3=E;7OdOPVneB4ja)-gNs)TM@!pa*k^3
zUt=_Cl+Au!5XJjfBJ+iZMG!P*BcPOMjIApdw`7lq!p<m1oIhC<x1a2MpDkq!y{g2=
z$)lo(80Qx4XT67G-|NE~4~(#A$)7I1B8s^wWzQ>a1U#b~<_b6&q4&fktujq9(5@tY
zdgLOG3+c7Gsnc{k_bqt-Yo8ci^z~-;?Ihx<=JSsn8FaMY+Wa}aQ4A`)$)pEyB<%DV
zKK+78N9b5;h?^EmpTntHOJx$MJ0tRp`P&dx@18i5ZWEBv{;TZNZ%Ld={>_+V`R%gv
z{zqNr;z0Q64mKBQ)VR63*+m&5R_A43@_;yY`)*2+e=37@-xkeAV2FQBsfTxD6TzNy
z-O-yVhuwSg1NW0yToAHM@C{_~y;34h^rJjFX6Mi6&eO0@QZ=T2y#!V}ZdW5o5#N{l
zjLkmL@b;AVu6U*-Qi^?@ItrEW{FTC@VmA$m&KFKJI7^{VU*Gf2C1r%`cD6EE^W#P&
zGv5$tl-2LK&By8ywg#@wH$KylmGP0HmnVak?4+cT)2i4QQrow7kp?buO~~UhSsblx
zInsWX4EMDjmp73OQ5U?M-OffH=e6sTyVBLb^*Q&@n_Y&WNh&zD+*g2Aq*eKmJau^e
zt;ra;XNYaTL`6Q6ln`&Y{%X}d3d*M|oudWmFm(w%k=CyS*};fI&nh**-1bOj-*Gy$
zo{C>KE>^~c0jsTQl`JkWO&Yz|7=a{s={F^Y#kr`*0ZoOPIH{d1nwxKgeV-~5_pVa~
z>1}_@t9UJFjC6kyay7<)d`@wiEEy+0xiwBYXu~vi-#!td367uqvSo0RjG{Hn7lBjS
z@O+c0>@#74(!3k_)JioxQa1S*wpRxM-KNppU8ZO+S!$bzRL2#@ZE4Rc9V9vba5Zl-
zg9(q3$#!)Lyltl!WV>|G-rGI3_nA4gyL=>*S}AbV7x-57KnLC<OW(CwJ;H6OB>a$@
z2384*S-0GD@ZV!+`RM1CFiR!B-26fVdG!U+t~J_tY~1zvcC!_HOCRxGlB42WjN8KA
zK`n4(NZO1(vIcu=V~~Lx6$yv;nDKOJVkjZKctaKg@*zUfqkE|^9}oT8oJhsckjuML
z8ep-S^xevniccRtvPX$)fOm|qSMD6ZHX8J<QJsoAKL4|L6|0VS4X5(CSpFQLVr<6w
zKMnl+;oAN56&XfOzP&<%OuQs*dYR>^0nLW<a)ZLEu)aC;DUrs+dXoq{(Pj$T&ynJa
zU6k>ZKdB<ffr+$>2Yi}DDKNUe9G_sKh^Va@hW1WO+>5GT_h79$^aH%g^yX#JajC^u
zkHJJyfcysgAT{VM<xs1JrLaKf*q={kB1!k_S*>Gaqy@}mHxMPzy3&7d>oRa@WFJ*H
zQ56^YjHPr^#j(e}JXGry(DwXY#es7wI5Klo+s0iCoTakOtE@hf`E}i3QYwoV6{L@A
zyM<YMVI`Bd0nqBFX{cr>f#zLKetJ;=_MtzcD!Bm#`uZ7Vh9a)$+iQys^MZY=tVu{D
z1BD|avy8p+_~2Vqd-cg0v>kA(d-u*7!3yG&28FT+ToOILK;(wyhn4#;>DK7kf2QE<
zKWY3sr&;v(6DPcyPZaZ~S)qta>&w)BDOi7`c{%fOVx%#`k8{=%3vR>QRCY<on0AnO
zQaR8dH+%DqvnA9X>T-LQlVHM?C_(VyfNl-@nQiwh5S?P@xNw39`JGy}yQ4S|klYh#
zC2RqvjJgdM%l|`4BUGiHbAUN0&(0HRj=#~aUJ`Kx6nc`6W;$@f;<egV$$m39xBR<s
z^o|%D;%1y<e{+K8ri6a&S~K_*&2QcGQxt{$_tvDo=0b49j|k02rszNOwdC}6QCQ!|
z>Z^Rt4L9$|Bblte5UDA%ovm5~EhgoHeP7lfzV@&uHQxlyQr~wnXNA%7cBSAYi5Jf=
zXjyQ{o51?Sn9dasVbnSvtJDhOLsnaogj23DD<{^Pj?M{T-R845w)OFY|D4W%vWhX3
zm39l;)d*pKedFb|dj#?BTKBF8ca4y4!RG(xo)FSGJG*1~g)w%wx=q2{2&^b$aQc-H
zXx8(Q-#bN6q!g{2-$94);Dp%&abbv7rpB;+5Jkzmv5Bw%I{wjl5>A{J24_uLTj@tJ
zoVNbE+{Q)6J~qEOTX_+@I{aWN<{JU0eJ&;bEipvo-TxGmK8wI-NAB-10ufSYqOsl0
z5YN1be^Y!#kvGKEU$LHq28oB#&Rm9w$gFbao)ksxnj5actPtYut~X;-PeZqdfUwgU
zF;JSt8><&3;VkL1zA2Ul>1~A;SLp=g_MX2}5g`r3+9~+h(s1DM)`MmX1XO}s)`e3R
z)n)wFt>QFH{qwnbwp$#%*W@yH+>^s0o{Z+l-wcr0-gsi_2@wKUj?V1~Q^3oPd*Arp
z7~sy_QdwgI35y-;o_3IxaP!%j^!tqlh}eH)t^WrJy!RS7JFLLUfia4051tr+D{-r@
z46hUt>ZV=_s;OYN<>e6lRs-bdbCq&zkcO)JE{7yzRTL+i9SHtvfQ*ZuLxf6X;CZsB
zRBbaETMN5w@AA;FARWQ|pOhTbgS7~H(Q0rx;y1H_Nkd+YM%RbyEdE8;P+eIZA<z9$
zs7RrKR^_(4-Bb}5IAXTNcTg~0t9)K>hK6k)tKXlFP(strL%Zh|HE>;ib%D#z5L3P`
zpYvIM<VdgBI-#VA;cv1YHs1}QVXY=$V5EXwbDz2XXQ_o9a}%#i)9Lt~bwtoiK@~hP
z-5L}YFQTfmT5oPNf_aK+o&z5lCTGvfUpCdjy1sRK^Ge3>NTZ$zo+pDAUH^x~r;Fol
z7tTE9WA%}(1*1A2)Uc2Jcz{WnF0A6XrRY4SkbgbUQ1D0{bK^0>F=~2v9?Ev1Qo;<E
zHppKLOQay6_?BwDj~;&R&owzjH%HnaU+U;u4K)8WXd2(Hhp?4(ze>F<fUkGo8-Le;
zGN+*JVPQRRzx#I}A;A*UveI&w<ESt+JhNHlkS=1_=Fj=ux5CbA%Xg1{qvAc&l(Icj
z2gCd^+G4M*VP?v)I%}#4THQA9$6?wyc+_sUZ65<Cc3je^_11*eSQ0ydOAAr+DLFs=
z0X@~4+qXS6@o?v>UQZt?mew4v_vi+SY)ht}XlbH%I@C__0tL0quL89iOoUuJTEXn0
z;!9Nc!@gWKl;v6_+J-X071Gw$=}tvw+x~*ZY*o-S^_&*2F)_F4gPM7n1_Y0HL@#70
zBhafWr1~)v1NSD9f+s0>^Vh<lg{Fv5z49r8r%aIaZf#NEr6BprkxK1ASqSlJDK?ff
zK{H>JEf!WscDF}o+-FJ1oBbuP&0r#+nXNaUQw@HdKc^(}iMSuDQSoap>pqR&{VJwa
z@#vQR-1>SkxOy`!we*-EZyShn=u$!2h(%n&USSLmrVyFaz(JeGk-=rkV9aEVn2Pe_
z_}Wia;rT#cF`xT27DqOpqSyL{uEDj%nm^B6fKR+!9Vb>5@HZ`;FnEv?^@@%BU;i)=
zT=;mM+N2!9?{!velxD{XruCUWjx3J<Nj~B-BZH?Kc&y)CSz)ZV@pLlDv_{hPl;l|v
zX>2c`t?c`~#Hb4mJ()6Mh48DUH#%G;p;MUsyxrh0!+-L%>=Bw3t}K1IRaHd-@k(pg
zgytgSi+98p#Z#6jKfkyx(~=0@XZ8xFFBTXJ3H9P`Jr>ZNesJvGC;>TA_GOY&3k=(%
zjK%v@3)C)-#^*j1!#_3Eo06v&8E@nt#$G>V4&7G%Z3P9Q*gwHpyA=1AaW|=<KKLuE
zUt3t|GW|v1%2@w1@AVRc%2lgl2Q%zEyw~eoixAu$-J4$dEHlh~PaCW+G==LaeY&}i
zAXaZXADJ*%WkByZ_a$LdgdHrDUTY)(z9Dn5fNN}sOZWiwqbB&y??*2NKTh~mzo1pK
zqcTs-gg9divdjCr(BphaeiobBG|2&KN$M#-KV$IJKO5?q;l)(LY55I?Tv#8^{Gt5S
z2oGhiX}g~1g{|Tfx2Ko5QPw!fzkR0>R_3`zv$yb~M>r@xcMT6(a$eXd4AIebz&^Oj
zkr#2-|91UJ<HgEXg5;TCIu2bUbj<JJMS_1&=mt}MB*)1R?*1`^LkN5DQXwzOnL7ec
zE(k#D?CEz8&l<wwP{i{VAwImgMo4_c>Y;&;6OCUf8RC3v8!;!F4{@7vpWS^Uf}ihW
zW7MC}aER0TzKk<Je4m7En`QN<4>4)Q+`DK<IF^1+S499jt+yLdWeGU%k*-&@h6Yll
z+;2g7L6Dv%#HP54<0I+L#S4`N*fBfdZD=Kg;o#@36}d!~k9c^j1{#2u*z34EUKqWR
zJu`H63B1@rS$~pjfU1Tw`f1-qux#bXfA5$ij=i_8FB;Rw%ZV<Yr6y5`cI@`cCrTsj
zgSVp8Lw(quqpKb)5QF&Jima2ZGWg#9{$^&PK5|maXc3tNnDf7-pUaek#sJ?4XMjG|
zTa0Mb7l@<Tqw;t483o*YBXVH-CVdq5N2W?YCt{zL&|$ZAN;qZM%w21zkEUJeqYkSi
z)Uy%0O?N3H;838ZpMyTQ1+??OvG)H9SE0DWX%)y^v~76ep$}o+W{u=0QV6p4%<Fip
ziZG2>v5iOck-6R@$Ja&%g}a^XFE5aht2=eGu2dgfuiDy!2V@}=_-aR^ojR0_me^kW
z)W^4RPNrt2Jo4|a3f#}4fL#A5%EHwEt=7)gx&Df1-}{l&F|UD-)w~rGEe5PS>&(H&
z>SO)t&H3>gHPNi6qn_kSgFF9BA$z_uT-5KL6}+W|$I3QxISVw@FDuq9+){y(`Y6Tk
zn>K!ESd49~GsM#W0?%B(uL{etR3SSRU3}&l(|5|I!)T~RfU}N_q*5x3&GfMCuFLu3
zmyO`z`QT>q3pK=6-6xHR>*ElCi*x#}F;4SZ+fTk$2mNT6UqrY*lAmxm2ltzR_UPV(
z?n??nrp@9?AFy=U!xJB;WClk@n%3JY4cK-rDmlK?$0Gt&*)-Z5GuwLV{yR^_MEN??
zdo}uaZ%pCP>9s%`NB02JQ4`hWEyCf)^r4-$_D-g$6;$(!gg*>wg7B-otCOIQD@kbz
zH!`ddQb!!-bJxQ6q8+=I=XJq%vc%}+00X)+cJG$6v>=nbWp*l92V2OQfo*4jZ^L`M
zxyrO~(C$OahjcCAuhm^%0uu*=E#?PU&)%9fe4CF_;qm#Ku;&>jj&|$kv)gOIQ%8SV
z+K2)d_vAO92AF76m$kprqKREPDi`Ow$?)B(yZ(cU4erOp7M&((g6C63tll0KZ2n)-
zn)dZJFm8PpYi>z}wtvs}<Np+4!AWUz_p||<ho|WtYYo)3eAij=lSRgQikPyC4RT)`
zUrkn_ppS9c?1~I4zg@dqkYiwjm(hGrYi89DXVKeEG!Vzumu!AzY&LjwERs*Gl#C-K
z;=!APMS$(4%cmQdF!-~6U({|@1YD$FYw+Ylhj4|x<v}J68!>tu#Z~ZY$nHGVfD3x<
zllxm0nE25s&}Z7F1l@C*Uk-P#GOTJo*1c!~NM?J@nf!{Fj*Kj}9avzjY|v^v<O^gC
zpB-4pkwc1i8~Mt<c?NlM$Gv?l+toNGb?Uv740uzNDnDPCVF<|{x-)LVz||__=2!(O
zq`v8tp`?#9OmrIwg$JxrmGI?{fTRS>=L}N6o*Q92wDRY4xNC(B3F3wT6C%>~{|O1u
z9Aebc!UGq_E%D8nXy$%`fN&Y!{yg<T#<sL*p#)7!oRV)m`D9KM5#Mh_FJqALW~%9J
z$N>uo^H1L@BZ**RWV&2~%@Cs~+u8X~tvL>~m=xX45X7CSufCnj!;Gniz3Gnp=1{+R
zZfuP=KX|`H?$UG~W$^A$tq9s_24lma?Nh<L_&)#u0RR6Cmv=bTe-y{9WMy4@UYBcc
z?zMf7oytgPC?cdKN+dIsQK<ZoEvuyLRmS}o5h0n85Yi+>Ha~xTp65L0IiK^K=X2hl
z*IWJa#bAB59~jGI=7LR)CWPM1EmwU_4;D>Tr8uSESc=F}$r6_)$Xc&$WSH&)Nu#3M
z;VFMG;bW%_RsA$TNOKdv%1j4Tg!aDL>_sfH`?=BjXEHo?(}|I%rv>q(4{S{Ff3fvX
zK7&f;WUyH`n{iX2fp=1!E0T#TSl;V3PE<>RIvTfwxEN{>8x@*oEnmf=33J;?@+2Tc
zetEUZLJfw$Bo^6c*RgV{ZSMR$bx=4G@l&aW3f!OG-bhm2!cMIZQ^xV?kn7=wBj2Th
zGl~nD8!0>3gXP8~-6v`gFy)#s?MDSJ#YW4e@l>!9{HLyts0L=w?|t`*p@L=(xz?l8
z)NslChl*pdDhL|A4)Lj{0=|6Va=t^f;NtPoLQY2&l1<MyPVV*d%;$wsL>nD=dh(bl
zcd3BMi^>0}1E|6Lvna*JfgU3MIsXcER)NQZrw9D$Y2d$ZN$y}~2FS;K3ewzEhOKjx
z*Pw(3^sO&3YmG9(@Ab~MTPe!$?2h7a#tm9nXxWyT>tu%7g}75Ubd{l&PexPb6deqg
zan5RfIRGyYQR_9oRf5f`LYB5O`+(DFw$7KG9r~L>BpJk&;P1|fTTgD&!vuvgy3dRQ
z7Ef4ybdOSmV;{?Nl-l<L>(oe!QxYfeXojv9tt$ZEN@%*YG9&medASr(ae+<p@3n3}
z1sK{tJP^^y1dA(SIYLp~P+sQhyF{x13MtBgH+@*(VzqnOPeoqP^!a?`MwUFREl)*X
zv1Nsfv~CZRRX!-P#s@DPmWP)e-jhMf>@dpG7;G{v0Ou_GDaOq5V0A@l$J3Gn{ziI)
z3@;0T)dTyeoC!Hl*tA~ozQYM~cQkpj6+~exPShmf-Clfx{_3A09E@00a$Ro6L#KwV
zDovjp2u19FVr<L}-2v|t<5>tWSL9D;{7(+{?Y>wj@8N+%TT4`8?&2`0A*vyyD-T{}
zGmeM-_<*hDUihtk3D8#waA<rg51*{GZVl)QfY_B_UN|NR%$F`Hb?7O8$8l?^=R_eG
zR+-IEoR)%a*Ei{!w2BZGW)zzwCjzRM?sv?D$N=;5XST!Jia-i_@%4ig9>Uj!#-B>a
zfttVU=5sz}NX#}q`PWPg+7h!lrQgZJ##NH1VV^SiD}Nby;zNLD6YlmymlT1+CewrR
zQUzQu*9t!_5(h^As65(DCD`KixVrj674kZQ-@X1J0iS-`T$89#hW%>zTdTcl@a(Ra
z;kK+Kq&yRue(azE(%m~TFZfANk#9R{c~J^{(N?$Av<gsqrE??hkinpZ1|>d`hN9|e
z?3sxwsD8m7ad2n?t0H4ZLx&7_y_CASaZ44ROltMjRcpbxElK;!s4N^m)hJLDpbD|G
zMp?<8I^Z%}xftIi2Tmm-#3}<-(2LOG^HS7<3+lF#<Rp2h7i)ZC*|E1LQWwJbf9gXY
zYZG0Tk^+n>PaEcNsK71pJ1-ay0T`no|LBJb!1L7Ph>fr^Shr``XtNmr)7!xUtXctj
z<0kY?zbe4}Dz5f@jRtUGL+XKWssgx754U)d<zTV$_k~t#Loo14+xJ&T0qiGO-`1E)
zgNR~;i&2XqTxpG{QqGWv>NhVEmQ;vfrd={2f-?gDcO6_Go8&-$Kk;S}7Xcm#U(cMz
zjG&`-rAMh$7Fg77yIjJFz{-)2+kX!k0lr`schE})Dh@rx46XU#R4}crmWC0$Vy{>}
z%PbB29hB%-v^aQoi$9`*!3dI%+<jtpPZECqizVH<&jO-NH?y|(`dKU*FKt+t0F8rh
z>}U?rfsS}v;J_6_=s$S4W6en%-fW6YVzC=oq@?!oW+p>Ockb;pY!id$%nyq{P0wK}
zgc9xkOamyEx&EMD4G-nnnjVkO4q+aG?mjmZ4B*Oqq08;l!m#iVJ~zbHQ6m3aZ@Byl
z;L^yope7#yI7*6F)S>@O5!Rl2`q3DGWA*x--_^W8bNxrh->6xNuVo`$Yz_uKF_)j+
zmg0uXE6dg9biXNa<26$cDf-~%>ovpE!3n`a@+#w(|4@?gyLn<$dhpC+PO31S9en<N
z#4#r?P<|(rXfrbF!HEi{=pmy6&=qq%a<FfK5@zb>T&S%JhYuO`h?Fowerxg5wucK8
zhmYJ}dA)UDpAWS@haWv`?Cw7j_wx^>p-(JUt5_SVK5y6DO`-)-T_zz!Wu9_^F4}K!
zQ44<776caVr-ogdH)&B4zbW+ivOhUGT9A9`QfWlgHpbdg^EF}i2j#}&A5%8>G@-k3
zW#-qtb!_OWpzZTV-zZnyuJ0sHY5?8*8>jCq|1iO!#6?}buaw?I&NFx&4Y-##a#&+`
z3Hw<1aO3dG6lI&?NN`aq8BPY!%19nxz!=)&WG=m#q})g~=Uv?)!HVARx{J8qm>tF#
zXL8{)Wn0Ndy5l?vHZIp{I`DtTvWhJN9pgqQ_{Qsba|7y-)S^nUdpU!>!sLD$?F>@L
z4W6G#rs_a?lHH}>_yx1!+|uZN)knD~<o3z0P7SQ@WhNN<k7LzG0(qN)-&5+hJj!C#
z)!>x9^C^rpigA{d5=?nJ_vU6WZd;}b#dmJ8Hzp5Z)?-!;OzLkaq@K>kmny2TdQs}g
zSWG|0+0%|Y*NG^U+qPT*RVr{Lykf+5vlsjAVq6xI@rv@1_fzH*T@^6PDlv{P?Z#Ri
znR*>AmQ&hp-tO4nt_&X@=eyEMc4C#J!+AYzPbon+`OhcX?)_^u^ZBuQ?bwCqA6pY!
zlPQcp($?HNl|b2LBUI;0E7q&6231;4l*$r$*~g2DQ05zd0^4cEl5C~Q8Fe3FHxCt<
z{wJacO_P;>k|LV0?=`jRwsAR_2+hq7)uRe<T`!;V${k_fcht05f{U=EXz7e2(ekjL
z<dKr8O2NVl@VOfd<(SW(_RYFBIdHr!+%QUP#3qXvxUP|_vAHx4`_qhakdw<@T$kK{
ztz@|sY#)D(8R1zCnU2cBpm;{ya6kjbTcINp7}SVW?u>inX2^gOmu|l2+Xie(XW%ix
zp$QwYtPH0ABMk;U{9U5Hjo629&(fl(77Pn;*2I}egLSH3;<FG6CV%pjcWciZZ1KH;
z$@45JP;v|s{OE<SD&?M@G4;1tS!v6mmphVhJn))=r9~5F{ax>3cylKf=h5|L$5|3W
z3~eJc?3yv9jXwgRA>G)6y1B%#4kDz}&)=|*Zo!P{MzdG7da;zO+p|I>B1{Jezaai<
z#kTq98I%S-U<<*c<`sDoAb6jrsV}e%8|w_9TYl7!%{TR`%JWHp^?<d$uEAR@joEQt
zHee7-&Ew?18ZQnL4@mt>I-S^jfD6CqqhYL3qAtRfNgTAswDa}6yD&-8Rrv4o2sYU{
zBK$9k0Ft`5pNh@)U^8RE*vPptjFz(ru`&}tHCK3p)Z2?)e8g%sCO3hVxk^4xeIN!0
zyEv1bj`d-VHddk8B44nxkDT-)`NiPyGtQl(R0CLb`j)6}?-bU4^yIged_08kx;t8a
z8pNn;n2ug4nZZuS8Ydc%@Zi-JVIlHk7#q^-eCpCPi>XvjRnEqX0{?vnAu**<tTuCg
zevJ7CMyK=EKBG<qMx*_B9V*7Kpu<oDiNCO)MFY{vbHZ@p&%NQhffJa}TaDU6*LjS7
zz09tQC=4xYk?vgPU$B}!13s#z1+4apcZ{~H5cJSkrrGRFVb_T7v>5`HuuIKUrazwv
z!msY_Q!l1wuv^<hS8d#uF;dF$q4~c8aL+62^U2LwY;pRP@X<T}u=8d7tQSlKK-SzZ
zMBefTc3pm-H}1<C_QyUzGA4r`C}ifGtS`T?i{Y9k_92^CU(5xo<Sjl(-5-7USN%Lj
zLwm;~>HH2BJ{-w2@4^Rn^6V{GmKQMmjtCd$2P!DO(lW&OffoW%H7iT?5@sCguq~KQ
z10z|7uf&+~LIIlDccpL{`<tG+Nt;RsxAw0G>9+I0HwHo3%Km>?`Ko`HXD>b6;q1y5
zKgt7#Z)HkQ>#SoPDXF1}CXA3_aD3+OEH{|RDs&3XZeq2KY(`d8dz|Q*NTiD9hRS<g
zKO)C=u-PP~^ZX2KV0-e~K%6!=bb2*z8sn&8wK-QWPL%^LrbrDGZ*u|hJGzoJO9Ll@
zmX7eS;{e=l>G=$DLFxIb%SY$vAm*hoIE!(^VJEFmFWztgOHRn$Zu$M7ocfIF#wA{`
zqWl1celC~}zNonMoDn8D2U8yW<%b@AH%l{GZm^&^y{hTS0?Jz(>>QLmzPppvbo~rB
z9O|r%HV<NhH)%nxX8oeza6*p>|C1Ze%uROZU*&-3eZQ45QpMoMvT<8+1rPY=Nl3r5
zz`^_UnKuPK;$V1Ucqyxm7m5x2iEmDGL*SauZ5Mwce7OAn#e@n!bWAfD6SH~2H;v;^
zT%i;gmygr4?H7dR#tC~l!9D&=yRn!+x5rr`+Uc)P3B%NtkHnB(A<)Dqqid0S{Q4z*
zibTM}*QDT2ADTqrvP0fhp`sEbCG;5R{t<)Z$Hk6ieqx|T8-AX1O&R`D)JLlb5->_T
z{ku#~9RADo3Tt*!-Q$xq{)_J<!FZ-$IBP=!4luQZn!Hg1=@q(`?A1MeyV+}ZW>ONU
zs+FA13X#BnpJ7UBg#!4-t$4)^NrQb<`Fx-q8I}$#h1JrkfK1lXC~-g*3=h(ho6l%~
z+tB=7<y&e%y+&io*DVj3EFTtYMKwWF_g2wIO){L96l66nSA-8=>@A8TG-2bQrQZj2
zEl|yjQyJA%hIby;5{tf?ke>N5Ji$R1-dt5qDB1H*{iaYlFrxwKlNVf`KEhyTI;2=5
zSp|Nw1`zmK$&i-qHFWB<0Wf5nEk{wS0>0(iDJpIf+>&WD5*jcB1{e7vb5&I+ylHe@
zZ$=do;~$v~2^)jJ9p2PBaaG`#IQF>fkTUF))H|BXm_YO+TF$tB74V8_p;;S}1*L1;
z;q1RmK<8tzoQaVNs2>xW7#ouSJMZQsHAho0S3Gk?@TM}bwDr$FnHPp<1^`(=roZ2;
zq9RP;@5yr)+LsmK@(E>r>W`eTV$zZ~;ARTv8sF547Rp0GJZa@YJvE^Gm?QM8rm*YX
z*d#6?3utiQ>p|mEtn5Nk3DZ3jurc}dJS9*HlEpR({nIxo`6C%|y+4g1@7Vaeo9z<d
z_#oflvJoTN+IPITN6Q#GEpnwhc?j^5XVx&Cg#)=h$>>lFGXf9$!2@bbB0!#UE^o2n
zLZ7X9+wZ+I1U}1=g1RMsm>O2paLVIBJ7<bF_yi5X{DNKMMSX6dzO>DHP=yc8HLP*a
z`4~XOv2LS+adsGTyIUVY<VQW}l|#RV0rWTLNwlSm5Hpvrc=stk5^_E9$;J%e7mAyY
zw5NgIvM)6$!~Dql%NQF?1O`{XpG|Q+xr&{`F^UTI@}peyHRY^0eXz{@@P(mp7Q=eU
z{s#*9k+a5n40@plc%6`7*8@*5m2XnQ;}`hR+2;RZ?~Lg}(sS3woP$%8Z?rcG<)!(N
zZtzzfej!~5>|bG=>{_HGtES3E{NzJ<njB5t7j%Fi{_w{3{dJ00#huu#8b0*%-<qy$
zt2TI>@1AA^DunyeM`%vuLpIx4Nq=OtVZU>%#*wqMsP(6&Z$u;?YVZ*q<W1EAZ})F{
z!)o-%v$M+LeLNqMu;}*e!)d{3&F-BmZ478`#+vtNDIc<uqE`q>(uDrIC&K;_n9=*R
zufI6<`q`rQfBsBN6TS}#?p!-|01@9*{mRheM>R(~>31tN;4C*@me!dKxtRwT6N~tf
z<-j|!W7ZnL{W0~_N+CNEvi7GWs0yH`(-WbO{*qyf>FKrZ6b>Xkm|^pzUjUsxH9pmn
zNrrQuHvTw<bE0@*n$Kggf=JWoh!33&8N#Fb$xkleP`2xX<+8Iv$YZiK=FR~!SibsI
zpk~E|S|29+UOX&}T3-;}#(W^bqq`I3E@W<0m)q|qZy|!*R3OYFlLR-O+l$DH@gU2m
z;StNOqNws_sd<<W3B2cu<qbJ_(Q4BqZTmqy`oZ3K-rSZ1XF`LL4>0hd3Ps7!E#L8o
zP&^}}qfdghBOc1d^!!NL|BO$<LosA%RogSJN`gGpBD`@x05#uM2YEvRGO_&kwRtZd
z%cN5rAR>q)2&C)Q>jV_w+w<3dug?ATnw~3~Lg<7+X6l_Pag^oDFO_6Z0x_-$tj0kY
z1&cj6$8tjgO-)!W=LV2qkhY<5CQ<|ilm!cpkcj9s2wxE|CPBfg^H&M=qDa2y{nOYL
zA}Z?Q)eM~{f!6TBz|;UdVspMfa-&QV>ATs9GU$<knr_bfm7o}6^gSXS=`Mvl@>$I%
zQ^-KEPz!Nt5JUCK|2ADYq|qtGFxz!H4cN~VZfWR5K<Ntt)fbDUkqa$tJ58_#T#(*%
z{j^I!7Xr^D)oaNh=k2+xj&z!E&sL=2LWVffs5Y}ZTOxy&-ftIjC2PWy+KH7Fk^~}f
z*M2&~EQ@GX8!|fgbTy{aJ?&(>1d3Fy>H20ai{e|>KGuEGf`=Bmf6T3jD136JIOe=8
zvJ~{rtBuwMXVY*O_jg1@<W}=O>nw|$BciX!>gs@hOV;y4T9RlY@$XM#k}OI|QnVIb
z(1F2t%dOlbNmR{Ox<fxDgRGe74xY);1s(myhX=n%qJqmmJRY8xL5mXReSubbu+5;T
zZOto%7@{o5^zG6}6g&Hsaaj)rHcC#*Ye*sH^NLY#X`~VOn2-za>qEfHr+E#S6jGzy
zsP`6;LiEEo*7SKWP|s<&=cX)$reBc=Wg?Pj3OCV;i^IUC)kv0;Q3~;%{5i<WNJK`{
zzYLcbF;EgS6F2IVM1HQvItQl3(aE4>3kf`c38Mr5{u`1g^3}x^_bLKn{o2~it_zSW
zXZ?1ONfPliC)FH@5JT*9?KT-l09xD4W0~WKNXh?9QH?zwISaD6uN?)r>hiC)j*5uj
zG=p)Hs|XSuFhBWtFF%tf;8Ka31X46QR^P87gs$D+?oreO`2PLOOd~}cnK!&&l~ocz
z)D?^tsS*HX(w2mN4so<iSV^W>^P!Ccj}Hyg0u&t)_3Cycpx^Q1d?VRBXu(Z*ZMp^n
z^VtreYlUK{zamS4n!t_NY8`U^I$#hpsI72(8IN@Pe7i}5IP^j;Jz#!CAAW6Fc?=ui
zk%n*Kb*a~!D2w(x|Jz7?V85e$6DKW-xUJ2q0^f5W^1G1pM{xR}bo9p={}Ewy?i^zT
zH;x0f8lQU0pQ;B-;bK)kQ-zR(knAt>Fm|LA;JlkDtOuc-%sEq@f=Kd{K(v?uJ38~7
zYeO(g7i?wN@7Ns|K<`Go3g}AMkU9<VWuB-mq+6T~uD9byY5gJBUwE>iZJT)`Vzv&9
z)x6v#T;fCX>>aCCSJ)6Avn~C3F&!w78@o(;%!_h^j#GQ(vmwe)#USoHZTQ~zZPV&A
z4;t*O(Pv_0M_jvZp)Jzdkg0u6EmoTcE%oU*dLCy-kJ}bk|CDHf!aw;({UzM!(}aaO
zZ9O~sXNajVX=_33;7#@^U2Zhw?3hU=aUlGUsQMf2n()_C$=u-!7g|?z%x-StKz`Rx
z^u?agggmDu)%WRK=%yZP=(Dq&Nb!rS`Lj6<5PPES(&EX5zTczwlI6f5C!4b}e32Sp
zTHieS%AN}`S{G@w_Tdnd-oNikL=B+2nix#B<wAujz2f5eT*!BG!`0|58Ss4}3N7wj
zs6@KhQ#gtnvA61G6nc^2a4BcuQY;rLKfz5Z4B$a&$xF~ELWX(eFl(0%F2vBTywMlJ
zi}G&Oa7_1+;LA(NH?R4)k!(-!^NRoY5Lr9~e>;{0-RjRHN&>i%gjou;`)huL>9Wi)
zTJ7n4W$5kgMQ-HdO{K88Ab@s{5+&AnNl;$-puuDBKC<=QP|rPmb<|=g?ftF}e{P(d
zt>xuK^`lj6j~@u5wuCbu2+iuiTr)CP*~W{02?WuKtcxI?apL)?Jas763VAFX#fLaI
z$4tvL@hBszJ2wA;Iv7u~uNFA)quqp)8v0v!6z=}5Tq;r>sNADk7eD}o9SdcRY7;~G
zMP|QSqSWEE4_#i6h9J7w|KH5hBm#1@m^r7Oqz-*|P8t>J3!&y9ioNG0aWr!HeV%%$
zI!ySu_+;1#BmF=jl~YC%XfusDA#hk7I!y5AOanwv6TL)koDdN`cZeH##X^F_M~gD1
z#iD5Ud)n*HWg<G39RDQJngoo_1TG(6Ji=Wr6FAo)iL$82d|h)%AU_pu7b75s1ht8x
zSh5si>S{Ytuy2o-SL^!;&0@$ef2U{klr%cePcL@Gj|{>4cN-fo5s=H+y0{g)3>pYa
z&PiA!!~OfTe%ajO$Vk*l!KFe59o8|I&5qK5p=rzZ&IWN5A9T<y8<Rz9BQj^IBsGB}
zn_ZCBMFJ&6WD19t$|Cl5?e>TdnsD{Q(8=Ll3B;+OEfY^Ihm<`_Ul~Vg?fE}tx@Z3p
z(RHhReT9m0$fN1Pp&}D)_&hPUSS>7xVrz=~G}Yx$yZ<Be1x6kC_g)EUKbAyR7gA!b
zvB{wuCik0%dv&1lP)DpUwG`TD-BnL*ltp-V1(voXT`)ZAjvus_LhJ_apU4KX=$BPg
z)aT=RK%zTJOP?f#L{h^~=scD|Va~p+M0R}`|Gix$&>)4XsmiSQ+oVz8%bS&zb^7ph
z_1KFiol@vdczDL^9w`(^C4c{`JqA5VX`S_Z`KLXvpLME{MCD{5*3fYbd<=cGRQBrc
z>L#x^-z6eZH!6oEDF7Nfi8)VODHK9GmHO3C0==&pcTBVeV2ZTch+CIL{=K0jzhwgY
z+Az2M*azTrM_%>8NJ%tFV|1-BM+})7&Fl3?0*Gan#EkC}QIf!=mMU93+HPIr3Wx&`
zJTxap=T1cQg9iF`1QCR55i}K!1`sbepor=vkjSmm`lspy(d|buWA|?Y96Iz*>BxQw
z#2-H#oD;;4X1ngne>ejWIlfr1d{7)Q4~w#LdhsHWXW<4oZ2<4xR~4HP1jKMh?t^tQ
zH&XUuak|e6AZ@qZ5Yi}y5)H>Y|E}QB=F8cXxmpZ<XqxezU&EspBKAg&_c>9&rra^w
zLl`u8;#iN8@Ti$neq-Sj2m0o2%>1BFAG#%NllcCKpiimI37L-UDCeKS@g&>5`M(-F
zE)gb-Lcbb1ZOO19CqEw7i4S`4^Jr8Yi<A(ut=>`hTseTKzwFChKdc9%E9BN|lLF|h
zSSGCr-vLyTU^S}Usteb(D}SCT<wrp`k9pJHV?i37MG>t!y3la?@bbaOd?+UY*Ll>G
z1=Ws;K8UW+ftVXL@oFi&sIp5iP0xr0S)BB2u$9+={k7sF6%{<lyS?jxdjJdSuq(p7
zFVKdgO6lwj-?>pNH|-AZ4;GZYgfZR~*M?_vb~#deyviO~_4#z<0Yq+Uky*^q0_}oU
zn*Izf6qY!3aQ7%H66_5Z_9JS+b>rLvIU-z$H>`dr(u56#C{?jsE7F9V)-!eNwK(L}
zb5k-^i5-QCTDq%|G@-?mNhoHIpB)F}{ciNIqnnpn1@^aSfDeO4nzt$riK{ZFCkAsM
z-Nso*vYiIBGdg9+a^et;@xHKNj1#dbFEca!Cc|vPZoCKs4xM}Q%;69F-s!wm+7-FS
zlim{1O*kC77n5>zWC@2Zc&nf9k|slqXj?*}Iu2#v87u6+a-q7&9>3G?Ng%^%-zt9*
zhfKd)D`fA@qw3+Y@u5AwonqXPm#xGhkKt%mx@{hG+pMrSLy-gz{;sqbaB`tcW9ws|
z2z<!SVbob@PtTiAIvmu9;6m@CAG8FY;z#yk_6!}*)M4LnwA>gYH+rzb$DxxafNmd5
za3FfCLz=x;FiS2sx>!gvXhbE1rXLjMQVi6AxPu>iZpDLM8(ovh_Y_7QYZsl=1l8eX
zz+sa#HeM8`IGU}t_wEXKo+iocsKKtp%BT7%UR1uOrPcs=v=Du_`ou3aVBOHYJoT0j
zT~&Wpag0+83ACMiA3m)Hm0BVt9Zh?_X!lmr>tAB%T81Bu|2H+Dh;M0dbPJ$BQo&88
zE&}>Qc|OCsrUprs@$?Em1<`Sl2ua3rarEEqj|q4lb>NX>Zac{*j6Uy=i4aMbKw=tZ
z<S0XR(5ns~iL)0$KTGY5%%X^Bi>R2!8>|jU+}HPNt|+QzKH19XBZ-(+pS+6eP=^mc
zM$$8a@yO%jErlzmrO?INr(^L%5<Hw}zdWHVhTNzFjxFm+qp5>uFFkxjf_mALzX{*=
z_BZvUaVD1x%6~(9wVRy`R;n_p?O6nba38PFf099h^|wJOn+!)-bUh|dh@*u8|BRhD
zS;VB{O$5+@MoN<knOy?ahkb-}X*tAb)Pv(%&;Y*dp*)io3DkO#f%|%{9Qq#s0RR6C
zmv=bTUmVBD-tN8jUiZ58b+5hd$4HV=q9_@aQKXED1`RWkkz|jiC}osL-%mtH+9WE<
zPf}!r7XAEtp7T8C^PK0L*X#ZMcv05H?1mY5);m93wU>(b>95~7{MNzPy6Uk@(dMwA
z_undO5)JhW$OrZ4x;T0Nzn(@H3z(11x8b-<!$tT0qN(NeuUGPqSZZ3rLXTF(R&7o6
zIvn_7%`Y7k8YI2*<+g&K96{&k1)4b5^HIPtR|lQe@uz+JU<DbcrgHbrY2y8XBd$>^
zbns34_8QN6YgnnttV}bZ<001DL)uo_$o2lC@V_`4C|cAN+2~EjU3FzI&#cnI4t=w)
zn=IMzx}}6uKY)%`SLS`n)S}}phe%(>CpI+EpTt_Or(<TL(b3v58Zu70jLe$@{M{AB
z>7z(TrDwO!Hl|V0bFg*Omi+)Wop+M$pJ-yHub8rfk_LM1eeBjz4)CzzTBo1CCNA#X
z_QdJ38qQ?0eOn#?gjUUs3=Pn5EL1J1L{Akvyz)g?z5sX^G$ohHrr|mB;Cgb5GOA>=
z67RnPaPH=qDLq3)wZx>cD|HI^&b|J>#ZG`a;oN~cPc_i#$he8NoE)kNJ4`6n0!Y_N
zr)P3$VAa8xeBoMYj81MlxhE6A<j|zhyuLbap&A(dN|3~v8tPfkK!9}<iw`nA)KJb(
z?$OLS3ZB`r({dvVKww8uNdF;K^lS8uF8EABFO?31%vm<1F^5Wjl&RpINps)qgW{;e
z{!}l2fDK0^nTb9H%4nu|H~e9WDE>O<>s&i!1AkL^8b5L<;X6u6Q0sYNjQ1^0iw&>=
zb&gNLG0_S*{LPPKD<On22VU&j(rXR5vMYpqc;s<Oa<DsMRsgfIRi*|UtRZ^)igK}Q
zvbgAmJ52Nh@R~+=oJWlnR2~`L<{vDBjBD+r_y&GF9AUuuUfBws=6&6fZYz!7-=4qH
zn#PY-ohlTsbW6Bg&Q@|Yk-~<zAw2x${P@jU(<^St0s?*Z_e?rUBCpW%8KY@_RNf{Z
zI=asSuDv_F*Dq26clD7IC{Y4<j+RK_A2kQz*hx#bCJL&W4hwiu1#zc1*99jZb0~N^
z7Q$Ad;P|QGxeFXZsLtIN@weX$EI7VT#ubn;kN<Le_zGd%^D!<i)XNMW1Z)uA#3W;X
zQxr>_E`qAAFIT-CG=)D7kH7yKCSm`y#?jQhqR8hq%zJXDDLi|SXK|r|g!V$u4Ga3j
z(78n|xO~b4steED%Sa|+`S3l>N7dr!q$u_>>bMC!zv&n&8cV{$8jq@ilO)_~Y!GZN
zZ361M`y3CYkWlL2qFZPX8GG)0Yh%?IL)ziAHpgou9DK(*k-U|Hk)>u=uDcn-svbPK
z_<@A^MtfkVp9DTS@qO3NpGI(Zj@Hc9CZo6fcv|`aNj#m=kQjE!2<q6^jN6mR_{M-I
z`bx1BRyj}qi}Eyr?ZU1Ket*dLrFrPCN53>)4jJz_LN<bfcD5^~k5e$y$KkN0rYu^x
z$f|L_V!=h)hmk!B63A?9`12)M4n4}MhjWWqFe>3_+utRD?PEXgzFd+=)m{AgulBNl
zS;47db6OG^6X6f6QWUX;(>^(94GZLs`f*&_A%zR^LalVVGL8#y>xmh%;8r#@fx1o_
ztEpGqFYHl4r}Ps+1*$Aq%*(<`7a5dby59M=UKOu?>-g|Zkp%%7>Wj+0vY6*OCgy6b
zhG*|zJT^;X!RjKV5!(bgEW5*%+h?eb$#GqEmDVg!u~V8Txi61K`ob+tJq<Kl;U_A$
zg9VMmTS~H^B5w2kqFSg&MY)6>^A6`(@NnCX$@w596xTA_(8Hi%8L#r9&U+T<SKSCo
zc&&`jWSj(kur$$GoM-nvV<S-7cJ;}%t19R}ls#0yqGR!xXmd-65$InR?T!moMcvQ4
zuiezq!cNlUpEnA|AXoG*n=n$ti7JEPXlZRsy=pMF;kq%rF7g)5`lp7ms_O4crnON(
z=US2K1`~+M%S~$SQpc1%MQv;9ba2AwZoxx7Q+PB}8PJlgfpo*`eRf{DXjW-AKzn8i
zp4*0_%QjOn?3#hR+FM<GLwB(~ebo#U#8qf26dJxYaQ%IWp@*VX8~oza%^~(#cl_NJ
z8n!*QbLZNuhvfU-U;AP$pkc>rt)}go_{=(|*TqQ>i%zrFo!f5-^FlxF?f9;VYs>P3
z-*M<6_wx)N^)M?ivkNNbU*`EosSCNyvAXDVYR&l89oArC6Fve+N9QX$rxzaRpvSZe
zcbBUTux#$nkeBHA&-&QYr`_6k!74HJvmP6YI}J&y3R>8+^zP-;3tEUfss?xcWW%v{
ztk2J6w6MJ7`SyynbaeWC=iVw0fPOMx$F5mAddi*k8hJs(|0sebtkPx9i<SA)s^}Q@
z@c}8onu?ce?GMBc0GK}Bl56U)?5RgZBCm7Rv8*r^ym@UQJ*Mybon}o8e^kQt@0%*_
zif-E!tzrv})f<~K<TcSnP&<sVN(Id&t{7@-+rmPa(dCW)G<+jZ6WQ*oh~q|A{Z?w&
z!ntELNy6Dw<oV|i(%>zJIa}f?c*JdiRzSNiR<D89vPJG~S<<*YUUYhD65z|XuP&XB
z)lu&t@7Z8MNmP35o7&I<Fgw|@He)~ylaytG<vYpv=flfIh0_2HLVD|ukE!DAuEr9(
z=i)eZ?~Qw}D?n_{87=>L6}(+&$nCsR6rW#`*Et~!kX_hboy@O-1(wX@&-;b2&@w>R
zAcYN=x{m(2Wv_(JBfG3Bbp=poc<lnt*nrA^rKiJE6mZ=Od&w8ReCQI)=$PDW1EkCF
zNO4pSZ{(-k4CUs<T>F-w%tmYYDm86?(_0p;t$SX}i}9et&VK>A3f537pZeP2yEM9v
zxZS%D#f{0YlRhjQwSs%4THm2W3ODa`iS*Rw#>C*&5nqQaA@>XlhwPEW($pHIU>Y~B
zDIIg@Txkh1y-mA#wn*SJ(#H;dKW;pK#5aI`-2#xP?)<!yf;#_Zs?R*-#_vb>Q(~np
zU|2!uQ0{3mM%<k~buf$vy?-3(peC5ZpzsggZ7)g47sW{3V#<r$p!qXs-V9>9=)Rkc
zN%&b}n16)IhpwNL%i==J;2iJL#<Uu7tW0}7f6s&;CxYi*6pxs~rHgS1^Q*=2wdVWi
z{XqiASTF1`<8KN&1!r4T=fuz`;E3Cv+k)8N_#*$}Clk<8e(;7!6hoGX!Ipb!!k85k
zu0OQP1g17ck!BplaMJGT4f!e&T(x%Z?dLy?VXWc{zqpYYUaqjEJab$2%eY;AMZ7Vj
zoNhP1>>`F8_EVi*sp1%rze%B3))+EX9=RMov%LO}tk-^&gn5<2?O$t+K)pWIEBlWa
z9ysA-PB})#ZX2&}eH)E{Jc}VRPU3jyNrGr<HU-0v3!S_5Ynh)RL7clUi{s#NCyLTt
z2|PWSr~L8~3(S<o><eW`D6ylduWMQoFI3yMU+`S!|FqlVtHmVrxI6BC)@C{9ocZpU
zM`ppu_>gtE85!kh=hY6D%HWVqb)xwzCbWh(*WVl^qe9sPYnzN53NN)-Dikwe)ANf?
zA{7+85)xA`c10d-f0-qH+sA}M|Aig<8z+I~RdxKdwTjsGxg~J-S|%vvs+2zpk;LLt
z@4n6mDr00_%3z2Q69U(=vg$&maOPn4Hj{lSc-FwL_#KT20`)%1e@{qbTd`4WN}wus
z-5C{ar7~gtb%{gwZ^)qh7nNI|gVgYa`d>q1CKGzro-dvIE{kjOg|_dCRL6AvM;3m|
z=Y};!Wdu0Nqkbw?^G=cmKINUWj*DhO{Y_rgQ@0dQ>Efl4ALUfEzR+^)bsZDzGB>84
zU?|~vjRmKwWxghDt$B8liv|8?B47W0pp3g4Ex+9Pq=}wy`q!!ivS8La@2NnI3Ko4x
z8Dy+j_C@fJ>ehEGSU;Y2PUDm+zO0h)_m|biw5HXa%-u#1bh7^B_2s#rJ^j#0sO#Wk
zM%#ZzBF4aYF2Y~nq>dYJj%Cit>Ef}WUE;^vjUn5)zb#x_1F0ilp3X1mqU^f!eOGc!
zV9r=a5(KGuQ~H#)eytvEu)Og*ImQ(Fs83gxj8O5Im~9R^=;OoK%YRw>%;1&=WzW5O
z8g^DnxQt)aM_uVGt)~affwDe$$L<(S47hwYJF;6J^9qf=r=(awZj`H>jSd}KcK&KN
zt=Gqof4j>|E?B~qCWE~Cb~+xVuPd$FqK}8dKkM!#tiZBMxiNUTCs+&)8)i4^;mxs`
zt=E=wsY~i!C))}wtgn7NDDzquBgXsN3qRVxjh3F`+hbbD5DFaIb6p1;#EWAR2ieej
z;!qJEmp0Bx8tYwKt&Nr(R(_nm0OxeY75B_*VPkA-dvOgNM@w6!8xTO>Mv=;H(ZUID
zAFXY(G)%72y-g$8LW8%21AmYf3U+cGNtB@?dBeH=#5!Bh9N)S*ew2<myf$kO8mMD{
zzE4<Vv@P&@@ur=!r{jYKTc2GkRq?u&)lI20w(!Q2{B7j8CK~k@eO~iK3Av(#T~1}$
zLaOlaSJ~xWrXpkC+-xb2Asb?IcE;Pn=xi;aS5L*vV470QXK5^Gic1L!w1wQjFGc=!
z8YsE?;0Bj>5@>TowztT_7WQrCN}9i_j&7;ujd4^m?%$3{OfFk+%Kq=iLarKi+bi^W
zB#YtjD<$o9%YIpHo@Pf%R7Ep&g~REQLU>Zws`yU~z#aDz-n|D^&@tt{K?ff{dh}`r
zO6mfv8mfu*{Gf#PN7TukmOSVu*z{?C9UFF7Mp4gxQb3(I3vxkRT)1teg<qZ!8{iqg
zsXvE2g6Z6Yw)LF2&Sy>fTVESEp4?L!YA%b%)`VDiOLAc46IzLItu>VF`ti&&QyL|=
z`!h}?ED>Ql<Bf`Wt--AD;-*0XDg14npmFrvBH?X6d+q90D}Y-;2R~hqK)uYL*Fqf@
z35TCu`~KBfg6WPNw;Epx3jB@z-59+{?0ipOZzEy}7dWGPd92C!u<yf{8s#P8T6v;a
z?`{iV3h{a~Ethk-TUB8y{U4#f`@5EOw>d~QUo&QViDTg=fvE~R4y;l<Ut(cs4zEOI
z>KApyP$a^Dxl@u8*9cee?#efV#~SWttA<3d-&%zb<zIo5d>%5$X9mIv{(R-#!uZyU
z2=|xfLYMyR#ZAlq>q^*Ds{5o69&2}9BHMDK<H_10+wUfzaXuvUuALAXuJQWOc#;QC
z9ud>YUiQUc1?7;(BSDPLbU9o9o)?1y)YbgPjKM2=c-wG{AS&AFa0$Bc<HNMnQ6j_`
zbh_`Acz6n8t$r+d<9h*I;Ph1OnKgpg@~bw}eu7w0N}RnGFNAOHKK`vdW&{O%RoXUL
zf>`$2hd<X*1g8{NyB}Zf1$Pf*RZ+eQqD$aM_(K&#gZ{^#k5;f?hl;Xn?rtG0`Q`NF
zWR^H`>|A%@?MfD?=G)6yiVLH~OKoYX3nWzLR_7e}%!EDKy|v8)!f1G7V=YfR85v25
z89is15YcDqLVY5FC;d8AZvUkqb0=|;Y{LZ2^L9t>jfi5F*saDKCrMlrYh)lXYX}7#
zcKZ@Z;&>v$&snlk3YDo%tsANhq19o@HT0o4uD5HFEvCw#0Do}Hwn#&mJ0;FeNhM*^
z%fN+%yRxY4G*&poHUzIW7s~GC-nB2{Lpn#WJX)zb(+VUF!MpMzwZfBv0WK?oMVN~C
zc7N83;5i1!ai<7=_LaaW)7oBt8D+Gv8@X>g#DF$mxccCzBnIrB5W8|(1@FGO?QGS@
z0IP{p9-TE(_+218b6t@tW*wHAKRv*Jf{3&Wk^iJ|a9aM)?M5|hK0U6SI>`W;mqet{
zPFa+QD9hsdPaRv+{;6If8N%wpF^=LPIm}B|=zT6n#Rzbw2Ra%;S^M<akthW;_<r14
zaSILUO@<u1(+wd~f4)mwMF}mZqtsMOm;I7>oMYoxLtwdz95x(Q#?Osfz7}8TxM!wC
zuF;1HGc%(Bd;==zCH-6SF+&><-OJRM9cMzglbJDZk1BGBzEIN$*Fienee^~;3o^1>
zx?3KpAzQBMWAp`GWQ&Y<Z(VBy<1fzid}>q2klE|<p9nqluUg3wLo<dC=2J_D+cfaz
zDq8W;W_^qoshF*hHGzf=my=esQc-VUY(rs|0iM&SQmUewLUpY0yjvp;XJ_A6WXmzI
zZ{KdJmXjHL?CHOI=dvcM$8Qu!U(3MDd#8!aqvqgOn%cm5l8&6W^|s_~W1vIbX<mT`
z7SQV{`SQkUEzBV45l<Z%xS%y{A1rLOoWoa-D$i-5_r!bkeY^||eD1t=yQej5Znt<h
z7^jUfJzVjzCI+}tC??@?p$!aXh>Ct1(Z-~q?fw-)`Y8C#O@iw=8#Wb5+*nZ7LFs5S
zuGCCjWEiiFvpxV&YoKT`ucw3id5_(;eXfn(J`xF+X94_G%X>&7I!My2vW)1XqhtG(
z@W5@$eEu`T%h{}r4Wj=RqHAgBU*EEt^Oh}e(s&u7Y;BZC^L5&AKm);ywXpcj7UteM
zDF~d?!i}=SjhhYCkp4a4*AH<!C{n}~3d=qXJstW&eOws}r*!z^740CCdg6NWD@|;0
ziBwrtDvx1=lD4*l9kjpb=h^g#hF|A@>B<*LqY;bgKv}Sb6@x|23m2*Q(0cno@(cw7
zFN-}J=&%L3Ldu7^NDZ8Nv{-0bC606wKf@!<791mPEnKuv$F1;sX0${IPmd36*x+Cb
z%#ZXHBTK4il@(U-{T?q$ggLjxEZ@UTjRuLCHWhRgeVO^`>IzJ4x!A)h1Q?~P9JokV
z#z_!->wII0xX`ZtJ_7*KUOj6(HlTnHC?7YwhW#SW$GHt<J!C`OevJ{|YjS9pf8vjS
z=p1p($8>KT4;z{#_m$ktlR+=yGdbt@3~{SAxJT5{22ROpd#6-M;cefsrxi(4gt#51
z3?*5^^B2N7FGiL<+TS0dT|Y_a3Rr}xcUu8RM4)MuJp~JX$#YKEOb{-PTgg=vE1)c<
zo1W|-Vfx_IYqy>WBJkH65b(7G_gwqmp^@S^bYND#`_&|oc9wB0=Y|E$%ip5eB#NSb
zL_lZv+9^WkibGt&3JZ8Zp@?{d3gd0h!&|H3rU^Oak14ZT%)uncXy3yeLFCj{8EBfG
zA=U~^Y#F;_1}ayRbiOR{V^z`WRqf}05F;KU4gRub5T(qF=Df&<>(}n)bPJs)c=f)m
z+#F{L|1pC(T#xhOe$R!$)qy_=^Kq@e&0kEQz)q~%Fq;Se<~`e4dEz&*xcNcWDNhp!
zW}mjO>g7h=XEO(^h`+?d9S2tJV`IpYa^7jbiW~X#uh_4a|3|=7Vg<wA81Cn$_6C3A
z!j11g#MVFNKrSOuyMOnMz>=~rO6@8a4tDmRtdv`UwpQga%4{PzIXc^Glg))kZz~86
z9Ol9$-6QAEwX&e4-0=M8^5y-1f~`5HxlzJm%w@03GH13o{3v_Pg$c^Vdrgk;BE{6!
zy|JGOg<V&e>y~??hM}zdCuM&0)ormp6T*b{Gv_pErQEn+$VtAl?7J6xg4c_zV1lZm
zfohWp4>sQY?pEF;gr*Mn3%rXAK{g5fW+!;C?9GKAJ$FU$oN9?hwY4D#T12kmYv;wx
z#~PUhgJRfKT-amxi2-L~=4@gKK5R{BZ0n+s&~Ivo#rAXtjE;7A>J0E>>Lmj!b5}C@
zs;ZU+u^G_8bWYQf6U4ox!{1JpQ*h^mso&8F1Belh4DLHBgg5MtDVB;!V(QcC(4Jie
z(CC=_>p7nYI(bd3PCPG#+F!p)P5sb^dd`N_$-AP+e?8fa&X&Qg9Ul@LGW3Dw@E}xn
zjX2sRRqoiyBZpxdsvLG%>jSTKUTT0V31xFgHM8I3as4^3Gd4?lps@5HXK6PXWA5?t
zx-TeV-?hB^ldtq(P1RKu;gaR~Y~CDvO;*8~HJTxFt$J|6Y-ynS+j0-=oT^=KrHZUW
z8P};jdZ00QQtPL?6jqmMt&@*d!xlZGf*bRC(Dm!7(bG55NYT~vf4J;{yx9j`3by)i
z-G%<~zi3$$dFGM6T7!yr4vN}tzO_83cFts;u{;j1*?W8{lZMSY`qy*T7(fl*{hD4;
zMf_f&6eKT9#|tT5RWv~cC^bG}OmQh=`1qG%*)v+mozpwOpUi+b%OI<JDJoc;wU@pi
zse`vUZ=bJGHH5&-{d~#G-ZiPUpIDc#i(Gt_K9>E4unC?-<~6CI%(yX$CZUhJgj-s7
z-eiJwPgUTFVRbxOpx*o@#sGD|<m&dTEJ$na=nxmCVyE!gB$6KkdvAU?eExwESjC&=
zS(?(YZjp<nHNn7>8)n1S{V@h!rsa%`k0xfQrWAW@Gen!=EZdzMO~F9r^QGZKbaZ`K
zb}q5PaQU6~JQ8d-19GU}8oneg+}~bf@U6=b{ce6v&RA;!ON(6deuuTuXDh2TvB?nE
zwAN^>|7Zzzn>0w_>veGWYQ_1E1BN*IZd&T;A#30q_}SOGq=TV3mzvCfGw{x-gAb*J
z*&y?`t=&IP7h`Rm_j4?J@S*to&-9f5`0ihqOSdkzM5j*gZPdrAQf-lr9{{W_f$`r%
zx~RhESU;Dliy`(pyM34Y%X9gEkMB3?;tWf)Rhz7hi8(jUIW2qVMx~H~n3paVd$63_
zwrgVYTiq^=C_4xkDG4rX*1`L?qrX1SS@uTmmsZ8Qc5wFPrL2wLw6S;1@6FY%s#q4)
z>-_7z9q7IEJuy12g~5s3yUlo&P-PwGiltFI2=(O{%SJjDkvM&=pUR+2X`|(>mv%5u
z(<(Z>UlVs<;=Df2A%Pc#D&8KxY6tyGbsrCqY3Q^+!#>eZ4EIP0-FDn%2MT%CcB3U4
zxJhWA?4Rd+m~n`2hoYPv__883|4`MD+grm!VjCw)L_eMxzHbYPo9O8xRjSyqIrT!=
z`~s0)`|5+#R$Itd)yj-9Q$Yvqi)6*UlSIh;r7U6^pm*yXaltZ0OespRmn|M5PAAUA
zx+ehSe*UC!drA%mmHJLLnRO5~hWlmPr2)FsGpZPYGWf7*v^!C%lC2T?Qi|fi2Aw5`
zkTxDE9Jt9t<Fn~z`*tXsc^tKYOn<|}VlOE8C;a(#@3B{GiHl}M_baR+S+iQ$s+)v=
z{bT>;9Dc(-b7QvLc)$t@qr>jxkBOmM-RJ9+xPJD#SpAz;WGnDW`p#LGC5&>XRlUh4
z-mvd}ojoAxY6-_10#nnn1#t8-^Mmu^Yc|U+GN~@p0t)t@J^O8x7t_v<WE^sT!49i!
zE|7V<oV#umI!z~W<NJrY8Lw_WW|#L<Hj(J&peozDZe#cgJU^t;>Ynw0z0JLARmfp8
zxa1%GsHBJk@6&(l<g{F4f2fZleSc{Re@CKSx<r?VZ^2D3A6+gd290Vw0t`*T>d+~^
zO1D3R!KbMBVMio*g-vAhvQ2<bj`5H9`;$17evsw5qMMjp|3}d4w=vk?j@y&KwLoN-
zY94R-_>vf^%p*q!7(>Fqh`*lC9O1b1irLZ9PsB?L?0)jf2rBEw|6J$(L3CSbzX&M(
zKzuZ@iZXIC0<GpLTF3Vp;-V^D-H!N3<gl|M(g+s3JAUgjzw8Xro9}rg{?>nl&-^8W
z1`8H6KB@lo@X$1|&ugMYxpItHG;Y3Lbe9R9Ut~5)icb^LH{#d^x4sgE83DsoD<*8$
zBG+`knj%n1m7L!>Nr;Vd9kpsP1moo9vAu0m#3?7^fat|3Le8k|>C-iakj|}PuKQt%
zFng=NN%!&$A<7|s_t_f;?AaqM(4#y}MCSa7Cbs_|3?n&jF?TUQ{`Y`rL&7w1C^qc<
zYSVebv~#e#@0S65C}zNb*bH$rs`omT{*#C)UpqRkX#oB5`nRi_XNX~$bs;n6zX_B5
zM_qHh^`U)z-8KC)vxF<DEG$3#FA=w|e0VTd4_L7}7oWucAmaaY(6+o<BCtaIR%^d5
z*s7(yJybGBaJ_a79;xL(aSr$O+thR+Zl2tiKQvFUug1`(Wme#D^OARaxDG_GUs}cI
z{F4~F@pCA-kPDkN?YGlAwBhbw;oqX~e-UL75u23kcrfmavdTTGHhf)ueE2}gAA*^v
zycj6LhxzN?J9VGZ0y`CV%8|@PLXDNU-fx8fO6QDsHZ0Jg&rUJE_s&0}xt{m5J5>nh
z>mnO|hth#^b5_eoh!f9-x`(_!B!b~vCl={nHQ~+io7W?}Rv^t|<)t|;aWoqH@o6za
z6YMD5YaVrQ;W<J#{#`H$9n3V!xAAB~vA<Y^jW-Wk{5;|?IZ4L+_Elt`3pDU{7qa*#
z#fJwtqn?rTBydT7Yqje-8dU8&Fc<ZgA6s+JZ*to$g)tdM936Z#cyQ2EWUaUmc4&vc
zdKe&sS4;a7u0N+jt%|UB#3m6m%bodkJY5c1WeP?sZ&2ZX00030{|uLhBb9v=$L(>m
z_ugDw*S*(v$#YyPqX?D#770<JC_*6>ktkGV%S@@1lJxw{%&bCDM3j(KR^jb0IO}`9
z=X~sJ8@Snf`O!YQ!M%iUGDz#3rKkBVRftS=?^N3+h-`KSHs+j=N5hP>E#0N6P?zKN
zVGj~Q*Y;IhNtRMXW$5tXr`@VxS9eIp$WsKB9ryh@kg0@hM1~8uNveTlQ-AchtQeY)
zyU#B~Q9*B0J8DucsDZbJKi!;70vUXJ;{1J76=e$dJ++r7!rtq94-N@Rq3=T<S7aX(
zQEUHr1oICf5Upm7n|H{dI(>mz<LerT>q@D8+l)GF*f2MH7Rn(-r%@+z8VTW(A2bi?
zXhN#3vT;<V0>Tx~B+lF*qh=jm)?u6kRg#NI-P4L_L^!^btB`^`^7gk_<dMPkzlZ>j
zJ<7;(R!1+tkBYiK{Mo_xo&pO)Y$wcGRZta^Z@*X<4HfJbZPL}JLE-8y2NxSP^mkEs
z*Y!#rv}ye(SoE<DxTtNOlk6lSaFs8vKC6q;w}yzj{ig?yL(MEa9W>Be2jRW_@_L9x
z%DStOZU86PRK52%YohXii-Q*~=^=sPnMi`U5!~Sp%73q+g+xZVw_UB!Ltppqb;A7V
zz$2X;WE?<7#d|E5WmEOg!uB5x`FBl$9H^9I6RnLJ%Y_VtB=nFskIQ29s2Qx;jKs9<
zqoCf-g5`uAy6D29hpAj5z*J@#>yar6YV0;i_$#l2+P&W0znx+Z^p72t;}TSq|Mpk=
zWHA+~-xfVvbczAB$#nyjf>fmQ;F*j4Fc~pDWs4-6SOC&KQW050L6RAPCtmPqA||Dp
z!lOMF5O~Vrz9usTB^*?^<jJOnKGrlH%P_VCkv+9G&lbsOh!i0#yr78ERhT&if-T|Y
z2A}gpt`;JXKVLt*E{$?-+3>oATf(^?F_qR^NGLi}zIf?|2;z7*OZ0ZO1W8(ujJmZ3
zS|JET*Ys>b1=(L^n}sc*@;T@0lZS}tQ9ERoNHd|O&MKC#Pc2}pu}|CZQB}0lVmhZh
z>pR{iH=D=Cuz*a)?B?GfWdtpc8BXWBFt>*BwRg1)$Z6;P-FZS0t%Rsw@3)!9^2zV2
zHjNqZ_}RsxS%N%D&wYEdHSP~~-~%(pU2YETBGRFT`=rs;@!(C3OlF9t`n5Qzm_va(
zyV6>(I8s`7mCSW!0|IM7s96p`%=n>xt0WOb9~g)iHR1riQ+x9qBmf3>6lv091d;8b
z*V=Q3IDsCYFY`$UgON*Y#smJmsP>|O&2|D8cy<iGU&hR!e|zg3r#%-M`P097(uxb_
zWLAyDUABVras#hbIV*a1BVTZ<85hJi-(Q<QZ3;;_Y9_XvoA{Lt8n*-+7j%J=_GXa@
zG((-Mb>cF9PBEG`@_-YBYpq%{Khq)Lx2Q*6?;Ktf8o(W3%Lxu#;ZHf`=)j&hQ=3&h
zj!TWknyXK8fRFaJ=7K}UpqqIA;po_Vock`@i@H<}IQ2D((DT#?;2k;a@pJ*6jn;c|
ztvR4OgWR=2FoHUD2W92%cI?sz-m=}2958JB%H*-1AxzZX%<=2_gr${y-$h{K0I}`5
zVzI3TaC>J*Ap6KTrh3uQ=o=3QtY>b=#dQrJh}~$g(O??WyQ2Tr$bbXVYQrkDZ|ehP
zDVe!~Z5~Su5)VPK9Iz^P>(6BoeK2%;cyIK@A{JoD!8|g@0YC2HRfNlWz#DVCcFbZ4
zds2LCZ*4p$j6^)2J5SI9-<H$F>PIWseaj-TlmGfTThWm@m8=VIa&PiyaR0$FyeBAv
z^4xHoHGY*Qq6^wl<7<P?>zHol^)D}p1PFf{9_o5a2Od%n*6+TziG5qp+J#)VK#qRu
z=_529xYkREO#8zGQ4?)y`IS6ycy4a?>>C=`<eoUdro{s3_5Qqkzz3hJUi4OY)1Y_Q
zctO*T6+U#-eP&+ahxgh##(JzY*jfDgX2K&j5Hd@VaG4VTY2~A7^b#uMnt8~?Z{Yyn
zm(Ne_*bs!Y58^xc_fnyKOn!H8BqyXw#2!~C3d3BJc=;AiDlF%^pSi}$4Z|JJ{Er<G
zfoDrqw~WqGK%@7Z5xIx}(`hj}g`J|{m_EXFaYGx<Jfl0GKFkAjPF-amM{&@zdOd7(
zSsOYtDq1Rc@d2i=w$50R0H@-YS+BIT;T+l4JB1_wDvcG&U9Y5I?K#gT{+SG%mvg;>
zEd_zyvRNXcNCy05-3kl~$gqhW=o2|11mPbZxgLKm2XdC1X})n}xO_QQg{4XuBzVG#
z+fFKgRFdJ5@o+MHUha=C78eEj4GR&)0!7d!i53(mk>RA~>A1bAV&HPJUi|We5_~Tw
zrn9{!gSBMIF=Z7AV20`bK)MPzo@<~!6xN1g`@g7v?Ue*3>HYLG`KmB@lP#w*RU2Bp
z2IDwxNyC4>W-&;Z2y5b@T4#+ZpxVg&IV?dI+}pYaOw!dsmVwe7xT&z)s3`kHvOHu3
z+>CoCqX|39wtYIBN`*ydQ%C*x3SiRxDOkLi1fLE+Jn5iEgAHrSug|lJ;9GohD-VSX
zZ~U_AWtM61HJUzVEust-P0M~lCE6feX!Z5<M;%CR`PAQqsQ_z@Rmmhf6{`1VPK6Ka
z!i8Hq&Tj;%LV4M&Q)$7!cooTdbPj#^(b}mHm8%9*O4h<MWE$9B$%-o3WdH`|0d9mQ
zB5bhj&ymWYLA<X~wnl{^+}WmvCyuIvZTZE7fIb><>MGgq)-i^Y9vtVyr!~ML<b|T~
z4;r|z22Q<bpo2+d!)wN%CJ-A4_Agp#P`*J<-taPoCGD&0?*Hm^``KaAa)Jh!>C4m8
zn_I!fNB_hpTP-MZf8lg%j0(iKMf;yuF=$b*Dj9#R1yLWfU3N%Qp-_`BvHv1KSewwp
zsy|wAW&3Jx-BxYLPezZ5bj=|(y66YCp#^Uvj=a^MB7xxA`^ceYb6}e6frAZN04vzF
za7PU|(^qPp#b5xP`aag)P79tW<o9)7QUfuI6}8D+2KdlatfKQspmDwSrPTvv2rphz
zJN|(It3uszm#Q>jO;3yWQjY=zNLHUc_nQGNcLfE;3pC*9y8YwdiZbwkI(2(|kpW_5
zuTq@?)xoW`@niUs7)))(E+q9c;O+yXTStV55Pev0_f<0?h`RcAEA1Ww#?Oq=c<-qK
zHo`H8OYp#6k5g>(o(#xka2yy?SAj0IBl%w4Y_Lz%Won9x0k>S(uTB&z!4b;53+Awn
z&2eO%U@9?(lS&(ddq|1^;~ynP)E2SQ?>iE+&CTJ%I{QNG5qU89D;y@jJdTZK4fW^0
z2k3Ek9p08J1A((PuLh6xV0NEfNA~*xu%91cFPf8t7#Cf}=Ai^Ur|GJw?K}o-RQo!U
zBjRw=fEbjh+JT4V2riuy#bA=9D7;cw6yA=ob~%3T$9MN&sf?{=VCI<~Mw}D^1?5t^
zn9xu7UXopP&Ec&OH-EvCF(Uv^rDgneIY;o1?T@}a$~J`%p(`Sm7#|dxku&SnMsR03
zWh1KB1fIlQ-Qe3GK$LQjWMTDZe4*;#J_|t;2;2HaOhuRrMC!JE``$K)v+B<EukE3O
zvan|Ca0ELfTKL#J8tTVy?eHExn`aDpDUEhKWLDS`&{p1K+>0lblV9b}7(w@tm=cl5
z45hLvLz7$EasOupB?=59_;Q91S8LqBUS3Xl@!&))ev%p{`X<{D0_-KZ5-a{-?}q-0
zbsa3hd7an3yQ~?2qpWTAOTJa?Z_{x%&x?043eD?qzNZ0*kvtwIw=ZD>z0>|dG6);X
z=v4G?)Q8#~ulGfc{lZu(mdTYCZCDq5tM+-CK1`1iooj6tu@bTNXIaEvOwtdjcHGtj
zk3!BB@3ncXyYAP+)A<9KOf=RdC8h`InO-ZjsX0tbWP|jD=Q9>-snobLMHdVT^_|+q
z=CHDE-{W&HzhIFKk{sIzx=<cyn5jMc6Vs);wCxG`ijmds-Tt1a1K$^``i=?y#Qb7)
zPbX`C!@O8V56biEz_GuX--MHAFxT^*uXI-?F~cRo&E9J?s22|!C%MdEQup>mpL{os
zRSLWtotLG7$$wjS@&(Ue57KKM{%x7X&fx^b!}qChBlnB0Mdu9WYYfS=$L6v6GUKC~
zrc`kFE&C$m_)l!|mj9h@zC}z;#KY0?76o=nllknOXR#lNagXvEe_>~Q*P-&QHl$n|
z?%rWGhascl%SktuumyI%$PiX-s49tM%*@SUUo{k+d6QQ#e~atIr_IQqQ<i*vxPBhH
zL^G-!xwnSBZZu)-JgWs4l>FxVo-bhc-W<vi`u-P_Is3-$#2XTnJ>E23?O4PfdHv8M
zxNl<oot~Uwq9icB7e6$>`5W79b@y8fGc)`-Me3V6tO)}KYVo0dOISg|HOA5j7WhF^
z-1nzJ1JoLwO^s%kvA%4a<j2VdR>7r)@6|LQPCzzn^Y$v1P`TCUHO>w`I=|mlUr~pb
zYXp9YbAPb9rHiTGZgKwer^mMJOzL1=`%r&-<~lZI9dl8>oE!SDcInB76Jh@)(ZS~7
zP0YH)^vLqhEf7&vEp}~14H~|$TT^tHVc+Ly3D-k>(Aa$F$(A@ZxVcRUD@bR7<4sFe
z4M_s<VItn%T~rN<YUlscl41j6Y3yhkyATll_fXDN{PUyW)U~-rcDNdobb#lsFw7G-
z?Ou7Rg0;@=P~U7$aP~?Sbo3JiLz~gtv7)NL`7-?0_B?LTBbBsf?G=Yo_lSw?Ar<)A
zqP?2ZvjuilNlcPLBtg{8PK)wP1s;87YdCGn2L?N3S{XIc@U?J(yY;pTWL=UtX&Nj5
z9i>|DmQ3Zq`Qv4`lLabpODUf#<%=MQ@3vt}h)@98ryr%;>Q!K2N;fDrR2XE1YU97n
zDMEj`dEo|=Dv)~(<=si5&}Ni)-r>A5cm;OMEPJWKjSkiSwsMKXy{EHNUky}2oJaM!
z$FwTkbEMR8@k+wnQx?7{HX_vIE#0|Us0Iq5Q4e%Xq~XUto+HWs_)|2BBWL(J5k@8?
z4N|Yk!ffkDyOT4T@ZS62HGyVz__2|m#=S)W+!}f8j&Ev#5?ffoHB1v&_kG#<>VP8T
zT?o%xl%~KhmU%W#PA#wsYRCy~QG#&^F+GPID(tM$`_iDM4N{3`5}Oz*Ai8n0X7w%&
zQi})&C7h^`B@}m>r$rTHtXZfbIXduS&%s~bjWlR#czd4WOa!&=R*sXA|Nhi`Tc#6%
zx?rhrLp@?b9b$S|UmEJ`!M=+MX>?0{C~U2jjR?{N^8Svq9k292=YWpPV_QSen%y|T
zGfslIZx#lu?D~-P{Aa($X=9*?ooT=JZ=b?)T))LI>qEbw^7L4}37iRB^z#YQhW!g=
zm$w${0sF)3>#UMyKq&H1i14GpgnGB3@S-l<E7;2;pbPM7{Zqk1J}P+amZ_zD(E(w>
z8v(eDIS2(BrsXlH&=TU)#uHA13zc5KPFXSFzqGW(C|fG%QKq+=U8KNWS*9T_B@1Zi
z>LYUzsqj8Is88-b3G9<jHQ07qfLYYfZ-%85FzZ|Tz;}@d-pMV;_-rjf|I%{%nR0C?
zwH*FXWvvXD;<J;f*DRrs>Dr#<LuBxc954ZpgR}s)eNm;Bu%pUV<JSNQ_9qIe9`+W4
zuUE7yebOyqnO|FTT~rgU4*H+*59EWqHm1g@e|$P3sv%uMQU@0KYlYTz%uvgwKHL1)
z0$hf-`CL?2gN@qS4Z^D_Y~hPq;pa;h@VSRdpi8Mh^WPNyot|B|^x476IBpBbm=9d<
z;!y$zv%)f!qy?NrG9+-FWdM;!Klw000q!k^F!gq=<0N_i{EKtuU|M}4NyI<~9<Kb(
z>?E=xg^0}WgI?zF-LbvLJy8N46NYTo=p5+%1;@IYe|Nt{Z+T`&OcbVFxBDo$aG~Zv
z5#z;O0L{*8Dd)!oVb2$?fsDu8NPD29n)5maDaPK;{A0YJS05+<SU{)0A{R<PviG=5
z-{+cvcE0u6n^-Q`P#2Hi-$X#So9-sWKH3V~-fA%3=d(hba(2XUGXZHz{n|ipO#x~L
zOrHd8V6$didxA0vNLOr{u(50cTduQ`j>Rrv0h{iR8Z8M(e^I0K49Nr{6%SnQY5$4s
z){5UjALmAne~$f#_NRl4em<#LbQC)jFni$Wd2ZBf&q^_UXbclwgm#`!tyoKJ!G#41
zHwt5os^<D@1U$vg;}yl#c-f=Gjj?GiM1P);w%x%9lF2V;95g=Q)RakzPaPMU>l`u;
zdSD1kPRk$c+rHvMSJaGno^heO&74KN0)}97KjAEs$uzzZdY8w#nF~FCai9B5xB*;`
zO?lNCJCE<H*<dT#;6esk`!wvo>4Rdw*sRCxU$_&Qqea?{8%@aVz7y!K4_2P_HcS7w
z`>GpCQXAq%PlPCz^Y8Q^%w#;v#%c|JKG*EPcY%N^(CdmiCq0O@;4A%ipYZKXXWLd?
zwjhyZ6YtJ`U68aB5l{@>#HDjT3i0gYL3_WR{vzb13y!x^YEAzzA-I0eC*lk*auCkW
zOrO<(%9izVJyRCsN0_h7?Bzqprlwo`&gsC{gPpY9v8<?x+xF;jk^l-D&k!t=(E+m|
z%=_M3Hgvctv3m=<AmW?4Ad*r|10Mon;#cQDLo@X9<YhsWzWwW6s{=GR(s1bqq;Vn{
zx2<mMY{IB)XSRmg78)GrKkD;_mmB%y>G<c9M3C_cIWX=O6~fG#7KLvUP|1`@?agDN
z$nl~_etRetc1+P?<Lr2lT@{xvqgxCmhkxr$)T2UNRYjPmBp<RDdwzb#K>{V+2{I{P
zp}?KQEiaF;2%v{v;+~TWl1NPdtl;OH6!;rLmy;w2BB``8gP>>9h}e2Az}}7m>6fmH
z>#GVO()m`Dm?evv1RilOiBlk^R^_YNUSYKJm0uUzU3p~N+3Cc$stqf|RJELJ5%f~R
z-0Jo>1@z4I+ymub+EB^edhpt+C<;E2uqBya2}Pczx{L5ofTb>!hy{zIw<AX?JFJw^
z<(S@2LY5Q|N+9frW|BlRO9iE&S5;7lm|V!+d<vZ9SFHI^DurzI<a_3RsG<+S@xQGF
zsW9`Mzc}=m3<_o?_|Di9(RJUa-^2W=AoN*OX>6AqVpwiE5?`yM#XE9@!~ImqH~kQK
zUP%E>*0Jg`XqxEzpTEsI|K`#wSU()4p@_=b{;1^NC84Uw7pRU+2UMayS$WWvP&j4v
z2%V3NMw7Dd)HmsXJhO%!zmqajGVv?P^w&n@oqbA2igclEv!2i!tb$nd(yd<?Q;<!u
zDz?4opFSI3F;r4jQ4P!3<0oEJ^ylEjyPyC5+cwwWkf&v8sQi$Tj&vUt#U$ufcQYHp
zv<=Jc!?i?I4L2|i5)EBx(sh`0HiEU00{x@S>S$F)*66$&4Y57!wM?ov2B`u6gk9Ad
zC`|c~uJ3;|<VP(^u`@G)@X1;x{cD=&>5HjzGCDNm<IBYmN2VadeTisjO+r^Qay;(z
zP*J6aPp2bh2HB%m)*tnekW<8{ojgWGMej0yAAXDhQgRlm)Yn2sO*7tHS<ps<xeF0b
z&I3H<FISE6(n9KuQ3{+}$Y{ai@Gn<IbFlSNj(N9F3mrIm?!~qDnyA$Ncn))sIXK;Z
zlHnkth3b}$X8Zc6qc4*#O&date;mPb@n#kYDg9)ZzS^#e7RN0w|MX_Sn21=W<Mh8d
z4e$B7PemCul}9}Nn8AR^w)4$@c{Ne{k51S9u?i@InPpYKi~-U7bxwEKHPB@6>hZll
zrBO7i^wTFr49Kf`bM@#)B4W(kPJK=iM;yMI*!m>~Xe@UK>7=WnuJ~^>zFr~JAKdHc
z=gNRL(aT;-bX8=)-KoO!ofmDF-p_nhi~%W*-z6{gDWi7>jS6pQaiWha_rnyM%t5L*
zo|zh?g!V+uiSG_$Mpve=i?M;`;I^0|d4Nk1Z9m&GQW&y|&u+6EsNpt;;H|@X7JKDU
zdw^<OW7|A_+aW6F$X$S+B-FF~L<S{O7w(VU_=d~Y-uh5X2QayM#bcT(g^o5qEBem)
z34h?+@QHE<gE3plz}@e}(e+NQCGNIPeAbcEXS&l2-e_$fzI{s+DHIAECJ4X63!Tgq
z?U>AfKI|Yjaa|aNGSQ!y^=IKP?r{kw>urT#Lyt=nF9lKPIhJ<mjs#5aV5|4hqoz<F
z8>w-GTL4}2S~^oBa2ZSbq5kmDeG`~&c3J(&#*3~TtlYVCTOuCPrx0BBlMa2qyd%f0
z2<Wf7M$g8!a(sk04A~pfVYWWauKFV<iq~1G|6+{rklRNK8Rv~*pGGxt{24p4>@+=|
zz-YzaP9;3_8!&=18K?id^qv(7?c<V^#(VH1K9Qj}s79cr_C35(j|CZ&zKN`EAHY-e
ziaSa#8^T$WcFmZ#Oeo)P`OOK^F#ddUf)qMy0H#Xr`|V6OaYjDB{o?2-?#ee>*|ygJ
zw4=k?_L!~X8GD~eSnQa<gHq#Sl8`<`?;l)#nDqzWO|O5afKTF&^A0MeQS>1`7j>3e
zui^Qh)n*@C&){w>eoHlX^gvxiJz%fpDn8vUp{pJ`_b=0E^<_yt__>4GFgAV#FLOE;
zCv3lf*N(bnt7hoJuu8@5H*72T7Vg0_bB4e0yp4=LeGy$K<QUq19xda}z~uIfwuIjh
z(^(R~t^-zmyio%c%XqMeQqu^wg15&p-^XQjAT(j>&-KA&oY_gp)8BUu51o(Ntx`+_
zvFA3iyYyG^;*TupWhH;{(tuym<_0u4Zgs{~8(+aAKXC33;oHP_3F-NZHd8^2Tcuez
zd=<AMgnQ1kGa*XAWrYGyD)hOt<b~~D!%KUg=v1n+pfm-}+=UqmY_LpO9t`_~!zDYO
z3%RUlwP!WkT%7_VpFP~qzWj^x9G>ru(`HArq!?H40BzWH^3#<+lnwm*(ioX*m;)6C
zX`H<Blnm|39TzhCH}UW)?h~a?xX|f1Qi&)h8ThyY>{>rCq2%rNvWy=PP|<Ih-hJL$
z;P_;M<}=2OYRq4i)c5e9>2m3UjwTYQMi=y05Ll7n;Su#rB0u`{(`-Rdp9H7vzH~b8
zW<zTquQ1CG2%yDu*ZNNnG(jdjA-VfGJ1Ts6D!$H02z59GZx`0lg!M>~11c7rh`lG4
z&)|hH8Wdwx)Yoaixgd9Ow%=T6ulpBY0asC^wPnG?&`Sf(SS&bscM(u_{-Dp2tT<9n
z{wuY_rvc>QFr$D09yD>6mYu>aiCz`kHuQ9;gEX&lafARrisUq`J|-uPEH&pzzw^~$
zT(IW)me&G^d})fpwO<xlB<x+9xTp?qmfpSy;TJ-EZVIZ=9rEaAh=}2>1a-JkdCHY>
zMi^Pz8-?Kdim3m0xqNzoIyeQN@!Q5DiZ;{I1-NpRP`-zJ{;N@Su-g;Rp;9e|9Me7K
z^JG*|Qt9NeyOtV|`BLz?Q?dkVSy^~GTA_-p1}`7-?b3kf%ex=`jFCe0(P?n<BBJ+i
z<mM`pG(qdWv(vSkGU!0sNY!p74V2o$(OMlvg3a<D+1h<_NZ>%PLid6u^8W2!!dI#V
zLT!boMzR#p9<LHj{thkl?u1)|uaq{35X%*K1{INyX-S4*i8czEQL}M;M*;Evs&1sA
zjDA18`8&moij4gflZJj$;YoGYFg;!c9Y|6TXO*L&#=%X?oPYYSpBd7-JE4kVL*zDX
zrfA6PotaVTDP0H}O9`H`B_g*KW0AOA9rX3BPekosJ-GESdGpx=b@VHub+A)Y7xka`
zOubra0Ba&HF^+7SsElphdo)28-8g-ymJwwH;xUSa{o6^1bG#~~;DIixJ?+oT8$gGq
zE>F#afm-O<nwGatsxA^7d`TBMYzlX$Q+?0-kr8j^zW3uAx@c_wlkT)YGr01n<HP_}
z8|~^+DmZmY2gL={c0Q*9n0{3_{<20JF_S&FjYZH9`BSIdeHn9@?;)8=a!`<T@Iuw3
z0Tm5r*0S@>n}dwqsVaRo3TkOQ$If(|jFNbMJ=ZB@fWYb&HS=fMDE!%rGh|s!bn*1>
zEC~Y(V0k&Ytx8fGxrFamx|ybi3R~T5S#vEQGJu2qxIP)l`MNOT7M0MUjc59eA1pxS
z<gruM{8~uu?oVdtHaXOaCj1`HSisEv%Q;scX(FwImA{L4B+&1kvNY2n3kVRp=V`B^
zfqqp;@zOsEqL}CzX5Uf^*nL#)m-9&?x@71tX;#dIs2n>hxc~ddaqR8M$xl>K_2~N4
zdGZEcwZmhXzRrLn0T;B1UzL&FyqK<!+%)dI))4plG6Nnt8=RtxDxt1Z>7U;^-N%h4
z6^0**FyM!0TEqc61>~K+1N-JMhFv+QlV_W04g-nrN=Rf`Bqbf>c)e*JTRmVKG%acl
z*4BSALM9}Ufs*?%=ALCNbMn(LZzh1zCX85iiJ>Itp)6&EzgVOvTij6z0Kt~KZMSBH
z(f<Gd0RR6C*M~pVeH6fP*WP>Y8ScF<_g*{s9WK#O2;mWukw_txtjwZ;ilRj*sYFFa
z`F#nM3T0JfWn@N1wx@sLoY(8T&xdE~4ncr<6FXGbbHv32gI|Z9i&LzGP>rY$Y1ESm
z+*@))e(g1d-4Fi|oS*U`zY3LX?^Y%VG7x>eC2$+8X*se!0xp#6yiUoTV1izQCtr=y
zO<;W_gg3&J4KX=sKDTaSg7DO(z=fKv@X?9Ei{%l}eC(63kr*aOk?!?dpErh5!8f6o
zTi0;4?UmQ|%Q8W17`3a1W(*3cKVn^Y|Kd{%m7;0Ro0xFxhqq#<ji5s8UX$baEN)I4
zDm)Onfnm}~v7~xKu;qDDomMuEmqiSGOSrL)DOxAw7K$6fRo}r{ms^AQ0S9sI`nEOf
zgy6;=<zohr`~3JBmd;MR5zBEN)>^}O4PTu#`lJtwLA$%EMe6Yj;jRx4JXysmeoS!R
z)X|4`^i`hIQkj_k)2{ALr&UZTV`gdNh8`5U;kw$}-eObE-aGGUtzyY3^Ow}w^#G6s
z;eK~JRy!ssB&EBGZFQ8>=s%?k$M4?dyUF;0HS+Y{oCsLOhL<NvYg2UC9`DFL96gB5
zp8UpssB;w)d|AckbeImFz42Od5+hg|?s-1*#2OZDRh!T}LIb$6_<Zrq7^cgs_cPOK
z9eWY}U~-o~4ZdXCpUJG8#7M<u`RTSB7}w9sot3|-aG_Ryb-MpIR+i&jF_pH71zI$`
z<2*x!+@{mc3(>O}ooU#Xn#crxq;wL6lM3*GXtaxe4!c2DeVyn*fX?i<2UW9mAja%P
zl3M;e7GWl{r`nkr;+=2sPH5}EhJj1lxaA@?<Pz)V62bx}B{UcLuWEyZ?S@6m(qHWM
zl*>H1m=!cWMqcJ_rU3f~XSvbZWla8&)dd@Vc4+LWu$mU6!19Yj_J;RYv6n2Y1f>iP
zsPVs!|Nc)4j%3J^KNPKF1E&v8yIXR>(>VIh{ZGjd<HXui*}jP-49#eXDDwdO)A+w}
zJY=Xz%a6V*N&v?9(!jeEKKPI~NgF>-f~z0ujt@97!~1==k5vZ=z?4{_uyQ{UObX7|
z%spp;H)kx~8_fxV`<&siK^G$M9AV%8p27y@^}YVWHo|c4XIl?XpC-tLmzYE}vBUhk
z+*;$eBG6qhnp1pS6S^aA?cbHc2?z3hN>#nZK;qL#wXmQjTzrzARS?V#2BCKC`?pBI
zj)xzlYHKur!Rt9ApTG;|w7X&6f>O{K^Kj-;v<6)B)^!PP;0J3&+V)vh2D<yb%<}Ct
zpgrI}>8e|T;I=r<!|W>ump{DQd&O7-8o$T&ar_YiD+eE{c&7q<-Q`i?WTFAG%qprG
z-Xbu4G;Zv`RweM2VoE&fssR@*=r!9HMIrgUJ8wk3GVpknVm&uBU@onqyT4EzmLqi<
z{kN#XK8sJ0Th}zebVK*zbd)5B8|6tRBQ+4VCFfTsYr>Pwu+iL;(vY96P_jQ*9f)e#
z{Yq9uuvON-_~@!Ee6_cCr0Q#eE2&Sg(wGEmSvLDQJLJLSXUjci9ukb^#T=sskYTM}
zWAETCMVKlH$XFO7!?v2C%ZK~4p!C7-`0ss6@UntpBm02@P7UWS2;b3$Q4No+SE(w{
ze=zZ~ki8BFkcukqbn1W`*F3`_RTYYUULNGpr2@XAvAUg;25-qR;k*lKp#CHD^kWtp
zq_<3Zt@zU6)bqfWj|bGjswARs@FfjCzRdG&ozaDc!w)VBywQNjLmrRvw$mYYmW4{l
z*M}g-|MsxT5n+$`<pG}pI*2l)W$#270ylq@bG8==;_6tjzV~!MHZx}{j~PR!&ALck
zG8x1<vt(9_=<vp7#C>a+2{^iDq;#Ltf}53Fk1v_gq2)kdo<OuI)I|1H+1XQ|dPRC6
z`2r1`$2!*sO#u9(vjtrHDDZGHHo5*h71Ws;UOAA=z^_6+xnYYoP$W*y-NST%X~}Nv
zHo+YJEUtcfr>qTWKdavLhiQS$tup%TOLO?G;&Jp=D+NBcT8;3E5P|i?o>)_B288fS
zMSs(wz~fV~M}LNI0pX+msUM3OP*&>Gb=FD?+CQ0m4royZCcU7pxN!!!`m1d%k|Bfq
zvv)NdLGrM>)#7~D8UsEwWi|dPCj!m!ob}Z^63}+mAp6J|17@YcIa*Z{SX+0!U-b|I
z)ps&`50^1O(8$p+>bN?5aTxVw<a2<+`s<tyUj~eOtlnO@uLeVWiJm0!HSBbkp3Eo<
z1K#&eds()rK*i2+--F|$m>Jqa4!>d!p#+xwnVU**xJOjIDd{=xX6$hPg@ieXy$}_<
ztg8rj*jRoJyN%+{4&O5GyKV*oYKMCr|Hy)uZ6_nYY7P(Hpx&_+H-jsF-%q3zNWomr
zg{6sS%edVZLzdVK08+M2kYkECWJTDF{+U|GJzuNYs7n9@2ivAyD-eOcnWAVm4<;m+
z)dN+A7>r!AzSy!X2p1Up?fDD{X#4lxgrr@jKy=7sw-Vq3&qNt>?i>QDoK=5f;kOOa
z!&$f;ZgE2A4$BV~<pi|0o$Dm;MH4t#=s5m3lNDsV|C2qFPC(t=b<_uyTfwnYE${LY
z6YzMRayGOipe286@si)h5TD8GLOi*O8Hc)tIt?%(pV4c(9%&gvf?&f1rzZ=T->!WD
zVIfS&B}_h5EYt{&x@4C&Ce2`r9R{ajn3<4=%B*$}ZU_<DanEOlMln5`dE;%gO+0X+
zaMDEB5KhO9R^5y1!&X9f4DC6+fy;QGnG+2#fRhQFli{47u{LJqf~mfBJU&QxE#tjD
zL|$2Jf0tN-`9vKENj$cW9}wW92WshqC-y^RI`1{!dW2>6HEA995@kNKH&YK%Jgy2q
zc>fun9G2#tmRQFN6~-NzS@qy>?3FhK+THl~ViFdqzmCT}D{HhpsSCmOdfHk)2k`jk
zI%G=nI$l#%NEZ0#>C)(Oe9QM?{F&9=S%0Aod@=Nvt<*nHL!MW*Go_E=H^WNL2DEPA
z&UXCScB3@7nBp6nBtC`zo&Egx*xOA!Dm>~`&Jh}jJottAZkxgNetI67j9@}NduNvC
zW~rbm#bM4lGK(M14HwR*5|G02%6nK86)b)=1vg%p!)vDaM0?nnQMk9HS0pbL?oyHj
zzUVIC>{%`E8kd<-%*)3Og?Dv8#liU|+vp;GyErbpjh_{%gk5!dudf3i<inkoA1vXy
z({J~cZD&KL6;IiI$<v0SHhfGxY6ZVhBJ1Xt$Bwo?Xw=mkq(IdbAJNAFYxtV3(<W7&
z6P?=QlRu+Dfs3(iHf#U(Wa9Ru`AIt$dT27<xBIjf=q;AzX*e<=8>z$mjm11Dafx53
zu$2sX{=G7ZaRgLsBEnWx!G~@-Ds_g_$Z&4s)~Lf<W;E(^y;pWo0R7NpIkW!`2{O0G
z?hD?+ih{S9b^7ZGp|81f(@UZx@Yr5I+j@@;ed76Y^!z1ZRJ#3Dp6PWW9OU3?yMS?^
zQ?kW!_t`|zMq=eo!!1O3W?b*lyUB?HerxH;<cJ{yyQdGxZ!{t6d|EJZlpCo&I4r!+
zLjrw`R|&m$OcTCG36K_-cu}+Jy*D+MQpiij)ai(pCM5IU8X7eeKogD`$Lbtq(3!Mj
z(+@W^!1isrrbmY$8fKN}y_GJ9-n?8c939qx<6~yyN}9qb<ZgS8*{T9M^DSLMVnhRs
zEL0nAXNjOj5vN4yol5A6HYQWRtO;+-ob2*6#L$Zp<*0&UWpwNe^UpX;6GZRd{?peb
zjw-J4_)<x#DA%9en3AgrPTy*Z8VV&*)b8yu?6?}5bT$9`f=mR5PUZIjx1^Et8Tmb_
zht<&wNv?|}qeQSO8n*F!E{oc)k*-UsX`=F;moN0blHil>XQu2ac?2O$@#klVD6E0Y
z>^Z9z2&RxaR`V5+NMOrdfd(>S+37!98A^dMyTT5|pGqj@gs<qgYzpG|q3qWtrUOzg
zv1SLfRZs_c-^l^G4w`<<*DNYU1!ecw-s4HC=!2)^ScU)<Dfb=q{%lDDrbEV~v%_kL
zyvnXV|CNfub@V04x9JdP>R%LKrH&4UaEuwBqoFUX3h8g;^&nq4y@I1a1NrHns;d>G
zqeq7ntZ47_fky0gCjZq$3RBKMLIUV$-CFI-wQGiuezZtMNRNbU>+8&8F455`FM(&|
zNMlg;tT5PgAfu00J9u{l(b2DcG?T3-Okm@+LuK`DEo51I2tUq2M*)6G>eOSVP<69p
zi>xpO*?h8D9(1H3?~9>|`4oTy1{{*FZc<QkjB{YQD-}JlYo<5;yYqb?T6y0LP|%?f
z*QW(CI>@HA$s}jg3}l+mTjlmrknfoIrFly&G!jsDrXtH6g0!lr4^sclQSfG3@wz5*
z&pS9~sLp^oN6X^}7PQdyp(eZWm@Q~3CDZuqMFs@dwDVsQ(L$2JO~=`0lu<&nkFftc
z20Sni<XD&?p}?Hz1MPkCDC<SY*w!8f)RzR2Dl>^lu7N1A-B=P`h-b3f_kjUxvdpWw
z0-ES^Y?fu7oG>~R6zQ0f&4A{2P60dp)X~m&mGn`2F7&1B;O%RB8L%xy!*%~dH6*xk
z$veGj6W8w~N4w9M1JBT#KcD(l&|L}fN3F@f@#Nj9(<yQ0Q2dz7JVQbm^-SrNbGSF)
z9}U<<rFqQ3=|8)@TbvXTr8G~#MXnDsG>Tj@yle*Ij-95>+vU)JZpMA4s^3@+Q|$^}
zzzkIT^Rw-^q!D{0G5gNQ0(QjW!p^uffSFe(Pe!kbqo$pSp27wz*tP2BxPB3U>gAo7
zy|O5B=iND3BDao77nVp4>0;n9U!oa%RtW9LYZq4hxq%tR_op=OFolQdA`dFG_>um^
z3g`2;o0yk|YJku`H)%C-WdHYEsBQW0%OC<1bP2f){Q2i5U#n<?e=8e8`7ew--)v$O
zwZF#J)muU8Vfv`oHfBWkl8PVI-o*NpW!}7=H3maT{enj#8+fWfq5P2F29`B%UN@|5
z3~#AcLt+P(@NZ&j-jNCGSlQzKz1CqyVCyh<s@-Z1-zL?!9GSI-tt_QnKU!-DhZTN~
zY@VOOWmXP$Z7pBL#1|EXheQma^O1OW-ML}>z?W;geMeR>g;?cwMxX(#XnG4T_4ME-
zBkR&HX)BnQ=bw4)CVdc7XVD>>x8fSVV)kCkUB;XQeJh;)xtYKFZtsG|3*1s-k3gou
zGS>e3G*fVf9yE8{x}HDt9Q$~FhttyEB}}RRg{K*_9uRwmOT5=VV0T4Y)|Q8sFmqg4
z;A*HY@S3Pg_^Eed-fR&^NleRF|MrlthGTTF_l(W^eCr2Rq`2Gt>CR=W<Wz<h?;$!|
zemjIqnGIs$xO4fjhGi_IF5PLep9X7pzUmJ}3}Yd_3K`bHD_GEUUdwAQ8YITfjhw&q
z3k$3rF(mC>#nLK%eD?oEg-nrV@2l|>m^<^HoyMMPn8zmv_TFGBSPNQP#~+!-JYEX*
z_7|*U>&tX6-c21SQhxGi<^BxzP@QY{u+k<L&MHKlNY#PfFmqO4**}<N^$#DD046BB
zlqeIXssr0kJP3Z2J%_1|zqC<4M1bp$|Ay}i*9N=yB%@bb7O?Mo2JRc5VFoR^^oKH~
z6!1FRVdK-Vh?O1ma`Ae`0#a!cBF-~f5cl4#z%ybAGqZT%Sj)!-;=g%)NCsMP4lJMf
z*sNfcj_K!`FSCP4_(0*?L^A9kq!El@4Kp-0v)gCL3H`d7=y(qaj3PXjs+>2lMpl;7
zL44f6p(^4Mvy}wx3B_$IHcVhIz-yZ+#0&eSf@8e%h~P$-Zn<`j0L(F=U0K%rQ16-1
z{X~=qZ*-4-oa|->?{r+%_CG<WNo}s=PSXU{ZQkDFHmqRh6k#q>A_NZu@I^auO=u*&
zDZbm!2AS&f&(>5$AXWD7)cHaUuuIN8wEH>-EH4EuWV{lE(V+w9Cag5TEm<MTBa90O
z`D>r!!^PpiG<W2}f;vpd4RxQ4=7A2$#F{hik^o)GgMly9fyw=Zm0LL<@P~mRB}f_!
z73MdNCaS}vp!w+-K|!$SUAtiPNETi#=`v0Ss6$%w07dtp5U8w|Q<)?cz}-HS80oJL
z#VSdqjxEBVi+!&%>sADwYl$bv;?!ZUpLE5rn<#v^OfC|$P=->c*1=cR>d;;?B=(6%
z9Q^vY4e>@5xX?!%yCA6nMR(aF>VHT8_d*#q<fR7lx0&KE-qC<;nT<BRb}86yR%ziV
zp$_}hVJc&vCZxuG>l2-k0rxxg2b%^o!1*1Ar?~0AZheg&KB3Bk4U;y1Mhy|V{%HCy
zd6S?~AomY_w<6Re3_P<gBttwc+99}w4Eq0_I*z3)!A;4`JooDq5Kok1D@~xlb@r9B
z`$v>vzS(VJ8g!sMexR_-QU`un1b>~fR)x_DrO(M)RM0xh$(enE3VWy6%U#OUz(+a+
zD!6DMbL6dFM=K39ObL&kY*7cbVMAp5kp{=lYeiPO>cUqweE52%2Fw_&IuQcsFkJZ~
zEJIKqZu*6^JFaVjmeIr6y6<#|k?UCHpEiKR<OR0|I}*5B3mK&e>Ov{$OxLRkBPcyJ
z@a6WuKILsrpm{LsLgv{!L0>nvg8iM}wqLWf;P=Ou$7~AeQ2C>c!$Hav<SqJwcbuYt
zrId(y_c{&!)3wg0i2($-7~S=e(1r}c^FvJk`g&KH-Ie$MTsUx{=$w48HXLUVc6Ptg
z0i5H}8QD2A@Q&Z*RTHHRCi}ULCIwIcTY2#ELAg1+c1!+x*GL;m!bfkKE)${jaFoi8
zeGE`-nyS6`5A@9DLz1#q>M%&{Fpp_qK-DuVSF1WLsB!aU(}?`ng+G^`mT_CaV?tc0
ze-;_mG`+QNM=HRR!MdL=suqytG|TdUPJ)k*Ttz+}kOWa}GS{q_1>|5=>KAWmg4>$g
zreCWNJkqh&svlwiro_JYe!n`rXxp;0bA|(Ys;Z0>t}{R;_2;v@yjy_qlz8-S{wkL6
zjrmR{odN$Po$HSztHOQjXXf=L!&u5aj>#Zo4uxSAVLZE(!Mf}t>^Rnh&pF$P=rYWK
zW<v5$3RZ;Ca#B=X<s@D^c*`OdnZeo>uA5zZ<iPs(s$O;9B3?Sp^=)>m8C<({qHbYG
z3hJ%=SS6|Jc$JK8x^@Ksk@H*fohRZjF?;8#UndhfNsGpW4FK3WWu)YaMZn<{y>p8r
zGiplT+j}V#1G0&hhUu6fP-z_<873^qa%OCOI@T04mQ5!Ta9*gjk@R`>lm!V_U2o~h
z+6FAl3x~3lIHC2x`l+0cENIVd&prOtCJ_0TB|K%G1qPVj?+<#+f*OQ;uiKAog^rS+
zbq8roVCi@EMb9A?G-y#EvqgF<5WNp`jXqe$JgzjHD`sIq{uPT4T%3%7K0@E~=-wPw
zbjjqEX%;i;b4l9imTd%*__eg9^OM+A-en?}HZxMXT*Z|;YzQGcs6pDxgIGro&#>kv
z0=gW%Dqmn=2yJ49A4kX9F%XqL+!9Ve_1&W4bEyXK>jaH~2Fo!@`j1O@j0osamF0lS
zv_90UwDyFZ#_=L2o@h=%0-8wXe$;EH4<>_F4?c*r<D3NEw5yv;Xwm=Zd{>nooSiS4
z?3C-nBh<r>Npcg=!b#hMtr~iu_hpE4Dsu==UD}+P*C8Mi1^bYzH+A96ye@02;TWzE
z<4e#FBOnd$!hMUvx=@iKc(O2g3b*@SO{nT3pd)TKx;ih@VYaR=Gq8CEH*J!x-|fPT
zoF{Y&r3L8Fak9-ouI>;1Yrx#7W`!AXy;dnJzDfhb{uB@8!g+k!_)7KsD;9M4#oOK_
zSsG9!rbp$^FXFTMY_+R7tmq(X>W|wGso>JyAx-yR!gq&y-V!KeLtI+ly%&tBfFf%D
z6R}^xH-4mb+;3w?JTI=C&1}_y(<(FD<aey$Ls$34g{yHQ6Kyuil_NTE=AmqLu)_wv
zf!!ZVy32*o<|isMmku<2?kL<eVM6W{n>$h#Jm_13tDC5^HgwcYA8qj<AT1*?*(NbQ
zv}|CqUiyFnN%1KwsTs^@sWJ9TjD!FZOe54d5GZi`xlJE=fCb%BNz^gCFNm5%KYvK~
z(Sn<uWS?7>Z0IYO-Cq74A#`a`s7$eg41vJ~$A%l&5w?SNL`_=+UE(w7?YAX^|CF?(
zst+eBw03_Sohyo35~!_x-$>wceA}ywTe#7Qec47dJ#plE^Z8NFU=rj$%uqVY$BRlV
zy9InECD3U-KCz#YB-jz>M<dDcBT=2QdE@s|==Qzj2b3>F@H8xU$sr3OY9X)Vn@=+6
zPgjDg>s=zaD6C(}@)AP5E`RF!R^^b0*R=T8I3nEONC{v(6Go3Xx*?sYh=^9-)}v#H
zpnl$A)=^Fr71}I5wmYhXtS8U<W!xY_uIh*H!3AQd#9G|PyHOdrwY_!z_L&Ip8>OD|
z@0LKs%hv6&da6iBu3|n>n*?;!<a0<^3SC=Dt$$sqhMwdEece}1g4>^D<E@va(c}gr
z)X`2IQO_FP2o4~F!YX&YFhLHny?pX8Y*_;_ayaUbJ7~dx=;}QmO$B5&FDAV5goxf&
z;w&ov?!K4e%Zlg<MU=ike5Bz|Mn!?|G`+rQgS~rsW5u`<a(X**JxGOutY#BO-H{F)
zyfa{YT2lojZP}f>rA-?JG5fw{t)v2Xt=YY`U{!Rr&8N(`TnCv9=J<PmrGYYYknTmK
zh7RtOPA@o4MFzFPXG|1y!SweFIcGt2RB`WJS+gJwQ5#nO>%XW6YhkRRf&XbBZn{F`
z;w2htib&3Fk~e@|rEL|@vNh34?3#;69}SgNcOipTL#RsTaprF%qSRtu@6c5m3K4lC
z*OO%odsrr-vf4?gHFD7_xtoT*)w2113^svxW=tgZ*JN};#N%vxI1P0>4{Uk5%M|n(
zwI0eRwUB;y^2ho%D)R4=;>+g+811IKJoQ%#eP>U=PmJpzj+JdQPlo}VeJaBL8c`5c
z?KDL?NgM56hnR?mW)P9RUHOh71xbguzd!hij3{R`TlUzQgZabdti>5E6nr7`{o6O1
z=xB0vS5KEYJbmW$%<qsEdL|Km;ZM>Q1fs_)kP!nCznvW1c9o2H6YlE!>#HC}p}TcW
z7y}w!9g7P}A|c<dMs2SF1+>l|SXuqAPya^bG|O2MQL?w*VqC5iipg1t3Xf&LsSA&b
zR=#SWDv^T?E?-5^jy}0MX=esh%Sno!->r`F7Y)i^TJs?*mB($@#Tc*<ME(#^q=q&W
z-#F}~u%d0vST-Fu2XS4MsrEG$bU0l@{O$K8Jf!FsgTvJvE^*)IXSY#Cd_Atm-mZ?~
zj)SgOi^t7C!`FX}Jx>u;oDJC8Sy_oIid<_J4>JR|Ny(#2-12B1uCH>be8-;p-&6`*
z1IRNuao%K38f8cFr4<K^VNs?jtn%>yB>UnWSJ)*H>56r;yWT8T?so3fA8vqGot^Ur
zJH=4tFHt}Hz4I9D@bywNA_hrDo+FG}VMMKM4lLfjh~<g+JpN%}3P&zo`m`P>h%V3q
zv$OX9#l|dM%C7rv16HDIdQdhm^6#HC$teGe1!Sp=e@-=lJA4N$x7Bi@x{Z(9eAE77
zsV!gHZlJ9YWvA~hw37{)))%XWasS0Oco|=7myBUoYe=W(KhN&!otz0_EMg9sr@IJ-
z#$fWusivf30~Zdj=T~r8z-|UTF<y@{0>m59b!cK4SBYPU61SblS|&cW+BX@3a)MXX
zpY#R1M8HPy_Vzg}J7-_@Jy}Dzq;%|HZ1pVuCI6$EGvg0t;Fu9}<%9tQXe_fSmrdek
z93@GMduFi;<L}ZfpY=gnDD`PT{RnQ$*xB{w*bFuk7E#Zqs}JsR7ZoBe4&bfR1*Ll(
zeq%=xqI-C5>cKwh%5LSUZ@6PYnS&bhG*<Rsk>_Q0JrI;$IbqiQ89&7PIN|B!Bt{du
zu6FRGE(9z`e>)l8fXl}IRhko<#46GTRvpLb&>V5@#_7sZ{GDyi`IhJj%s0yHJHv|(
z7Zra^?_axuJ%#_&z11hM(;9Ko?7cLYJUtn@b-V&wkmY&eB`|?$8&X>%4$z?E65Df;
z8x7dA8FPZ2{sbnt-(u^z{(rq0+;{Nc-%l8OqR-Iln-dtN+{}s3j|v*XJV7PBU$E<*
zRj-a<li0Bi&gg|19ng_bpVvCyiG@`c)CDR{Vbqp4I-1e{{#LP9QYl>Du|-ARU@P-!
z?8S-bfvfyF5R>HbAur?yW@FLtm5}!vi>|eQWoe-e+&Urec>MdZ+dMaAZrz)~_<d6^
zrUX+!6%F&%NDpHEuKOZ0GG;N)DsAPj`C9NPQ)%E+`%i2$M_pj#(I4!1_byA(UNW51
z`5xhTdl*xC^=sT`bPkJVdC{jKM+T9qft77%MzQw0X<_y|7cg8g%A3`T1ec`!XZ8n=
zVJ?~z%?@3QnA*cOm+Z$xkUx?&5ORJ3t1>gmJD<LU{SN>D|Njh^cRbZ^6vyqoN5~%6
z9`|0Z%{^Ax6=f!6HW11xloBBsr81I+_z@zCjPD~Qqq1d7DA`*GKmR^|oY(7lozFS%
z^QOnSGEV%HgMa?LW0yY7k&lb3B;5?(BIlX#xQyAz!S><|M&er}KaHIrxMck!_kQMD
zOfQxN5h13m9*-q5g_`EhyR}{NpWiqa5e`|{iTAdi`?gFT{G;eT*+>D$%TRAzhz#Tf
z;8o}xSIJg+>d_<;6(~thAE23(hRA;%1%K$)$>x`=2AP|wf&cj3$_58%X!R2ADjeD%
z-_{7lQ^n8%=QUw=&Mq8O{%hZ@7}+F~9=($0@}~zHs-tOU$8iw4QQ+6X`H#GJ?@V|`
z0wY{`X2CHrBn45&W=9EEcgbF-w6olYnIU;jH7>|k3UH$13*=-9kWe09dUl=-qUf}Y
z-_c2dzU!*R5;YYhkV)c^SsXw=uQ-<YpCr_Cavi71qK1KrH42d70&>Jg52w8(aJ9!&
z@|~oGag)(!oqgQkdWSMNokJ2F_%*k<P3a*ww6rd}oEKL7e5yWvmw=hhWi~|*MtE!R
zs6nNU4=zgiEX5Z~KxaUO?_fDI@H$6FNNx&%)idrm^M?|!=QJMpL!S+tTBO=J&k4cF
z3kkgg_a%Ud{?g#1n;gJ)R$=QLrzmXSFzI+wAOWH+Cyj#{xxo9)J)x&tVsJS`fb?WY
z0)q93VvpZ&!vpt3%7g?7=!hanJy4N^)5Pk=`_a50Qa+%ip(_QoBS#Ba_x~HTaSB%x
z$p?pz@p4zPNJB&t`~3??q~P`kpGm0~0#L<cKPL5024?AxXK%~lAStsm$!%Q_ob0f-
zWCnT2QVP8>1JdxYTG-7ZSOnA^zkXp*QiKU?nTGgS1}J@QdUvOY0j;+-&cH(%z^RMF
z-c$}`(>HW3?21Dpi7@JKgNKO^(@!`o6+rrT7PIU%N%))g#LO&!02T!+Q!h)Ez-Py?
zho2J%>po$pGGd7EM<+8b4)D+u^|7w6L>emY3B+69R)xMKd#R~W0<<gsY&m*D7IKxT
z9@(B(16_XI`q%GN;aC~VgP2V@IN>m;J|#i|*Ul4m?Vm`nE8W5xo2mdJ(+O544@q$L
zbP4lK8cmq?`cNCeqXZOj?dfkmlHkym&5_J=+Q6}Bc8oDl88V&b&az~Xprg_AmH01R
z2%fnS-k+rcYE15rVp&OGEpDHD+lvgOcCwVE5gwBEJW$#}HE4=|B-Z%{fV;%^Dnkk$
z4BpCEdo>VYVr`vLhshAel2m!L%ka?o*@m{5lK`jLt})m!7(v7yIobF*9&!$tc$O+E
zLz$7bT6Vt?FmGfww7B8n+MCCn2ioNzhrv}mGuRkfU$1`rGOhyrEH#}D1~}jj+^tR-
zGzRn1lvSmCW$?aUjt!KHL8IbOLLY+(FwJJg_6RG%Be&~weQ)@oLk2UrL}dcyN-k~_
zHVRNPd8Tps6$iwc&3+}e8H1$x$Vt4t96ZX<wr%2~hAol#tke)=_!;MMd`(*ho_XBZ
z9#xnj-*|Ms@IH+(L|$L*f5VD{zM~pHlOhMPxY?bown!tG?we|M7?yyPvpXT$?i*O>
zPwS`6bB6GP#?bX`g&5eGQKn%yDzw7>oBZ6~5d6e5xl=$G7XJ+7u+!2b{<Hb*H1!71
zYun6p!BhY=Vp#Wv6Pb`TtrJdL$pGxeyHuC%@WP<9c*en97Ia&jf80A8pr28^$AX6o
z99V9K#3!+#+=lZaExZ8#?vSb{Kd^$DD{E9q5IZ^-MRNTqLk8Lxc9vOx=)pB#A!lKT
z9oej88_p5*;c`P%*n@N`aCoL%nmo;pYG@BVI%1{=!Ra`v*z|33=t-t()mnB`VP`62
z>8lI7&4ILR>&xWQ%{1#2Uv~6I?ZAueEFE|q>0$EW!Y}fX_~l|Nc6KC5X`t!zT^lYt
z{5A05>L52YdR%QSWkc76&(@U-YJ-2}s_GX-3?t>Ztj(WhLkz>Sb`<BdpjSN8#fx_Y
z`x1L8s1?VC`ZURu_v`latfojU%Kisyi?zgS(eJ+(C*Euq)P&~c-T+b7C5-a(yDeKL
zHq`s#4h!+R1~{>68J5bfVb=s6P)-urP`BRHL+crJSX@fOf13G=wGc^vs&29&<CJ?%
zT_@Ecf%2Aap4UIDIhOMK%q|<M*!=k_x|;;DkJf%%%-_S9ST}0<U$Ud-*XD0DY)GJF
z{a7#7l@gu)J#gJrj{{jwmTq+SsKNPQZ?&R9D&+eyIJ35n1GzY_{X6ce26sQm>)*Gg
zL5{MfwHx-FC@3ndADdT&VO`I_(pp-i#aRFO79$r5IEL?4j8=tq^;?vj%JitO^pPD!
zHy7%?=zH~ps49$XM_zGz!GKh>B)VBExzT3NJk7g$A~?x@J5PgSLPZ%0i|%iEP|%Ys
z(y{YIxb=R0hOL|#wWhWwH@5Mjn_0ha{1G66I&E_8$rG&Te5AYv4J{uc+11>gX(zy?
zX0hZ{7Ix$-f3JMOjvw`gDNTM)B7pps6j!Pr2WslGU9@WyK$pfpEST66;AF=aUj<K2
z)Tegm%(|^0GQ#UJ|B@kql49q}oC{oN&1}2zEQK&y_t|@KlZpV52YbrgZ*n8sYUyOI
zFCu6$t3jK73J-O2`ufd9Jg8?(Q#smM4A~aGVhHWWLrGfKS*lrH^e&BQGvu^5VqFUm
z-T96OiDaK4ZZaR5<(x|Ly)1$5T24m~Pv9Yfk!!L!j~}_10q@-hlE~w6^kgI@0j$tp
zwg03KB85BJKjJ<~A(!-QJvS8s96U+SI#ex)$iV^E!uN3K+C@Jk>`#DM9xO-DTNvG~
znG5@7AcN|&T_kNk5y0CKU!Nu;isp|-iyerQMbATMT%Y2JFmmGYgWnNis69g~b+cU#
z>76K8O@2cJ32&F;dVg_r<)NMcFOLH1P`&Ug?1(Dx_kGH)KQDm-do+}%Efi6^NzP9<
zS~Zwbc1UeGCyC^*q+|{GE1~=$`<nj!T&1fPq$pmHLg(*bTE<tDk*?fTokm0g3cKs8
z85eMfF36WD<CF^0d)S+;^+_E(gPuH=^Oi=fRc8{$8SyCmVo<C8m<HIbY&F|D%AkpI
zw)iiH@#yIVtLfLATJZU2x(d6VEGl)NjaK%+BZ^qwCQ%!0xcckevpE(yq~CLj`l}Nj
zG2hIUZ`q%BhK3}2>jpWLI^t||Q5KIZpOyTqnAQc&#RuHkPV&fhvZ5#9feL!#a93<b
zRUhuoN;y3LDv$KsQ_G@al#!AA>qFfa$xz{_&E3JLfSNwpA5E50LfOorRU_sAbhgj%
zk4OqgCOjZ8HB<o|Wd4UM{{|4s$IVkBrGWB<x>Y3Z$|1$5%a=RI2Jq`~&4EJ`@~Fk&
zjmPgxGDv<fzRxSu08F_Xd&Gm}k;k;t+Z1gaa!plA%^o#?c-wTdhy8Mhw<In6$%+IL
ze|u=EoY@dAISCb><CR19lL;Myuf>qFR`kPFQA6;Y4Kuu}B#XQ}bH}%Lh0x(wUSHCM
z4PkX#K4Mr#2055jmpvHfM?Xvb>z~pY!t|ffkoQc|$Z)}vUzCFv`3moZBn=zDncxoV
z_d`-B-GqC{;RPr19Jg~<&NYC>7phveFC@`W;pxONBUaQD=Me35+5o6M7*x}}B~aa%
z2y!~Wfclk=F?DeofNzAD3$vm)dV*C-e66NNj_+>_2-E=J*E$|e&WfV{uCIO|%26PF
zst44k&j3sv+{8am6GqDKeOr4UZ((asS;8Wy0o1*Xf-na`#8cDWuR~hLyuZeaj~^yO
z@JZrXoQ?o8`Sd6|acLQIyZW86D^?$Hs&!S4z=t-fDaOASE@E%eM^^7Q=>bcyBjxk+
zyeQK0t<_Y-Jf<m;$a#fX556ov{Hk8fjk>*_zIW!F!%W7zvICCkLQfY<w>OasRVi4w
z_jS)=ibXAUBAGgH?{9EgXB!9V369*@PMyP!sXP<-Gqs<?j2KT=96NFx)UPrUS-^M<
z`NBAKv>~NWu+M&(1=ZO;u{xc<h~<gn@D(XqFeSY5!kC5`arf#^G|?_&na|TZ#%DF5
z;?6xS9eYN^=WEq2nz@2q74tigWvL0p9@BXtzv)q_Ddjee>l(%uy{X&#S_4uUJua%0
z(ji*z0K-i44a{!-^F)k*24u<!zbJl9i&%5$S=AgjvEqV|#-}mruw#Afvfob{bgE75
zBjxRFjG62GL&3i!U^L@pmNue6?DbEQJ9~Dp#LH?YXM9N@yvy;Sw~ZRfa=x2ACr*L<
z(as6xDK&5yI()7B7B#xxOx9L8ONq4J-K`1pQiF$XDb%fQ)JR(WPn;*BLNwbh_F8{b
zVaX=G8+lNp7@1j-JOvuWthLH%<F5*YQ;fF!@zm&7>(<q|LRw_E`!T&^n+UYHv%yIn
z)M$7-IsKLqJ)+J~<NA_7giy({M15@<q;s7vl5ULwDFi>9Iw?j3syGFk2MshRp(4G^
ztbqv$+&a;oS499e?mIVJd}&epzyy<LDGOSS@|*A9=R&-BxI(c89Xd+9u9*9Q4RJk{
z&{5dNgWb$_$+84JV!d4=WE{bP#`uiIe(c|cKjjBgf2uGb&DT{M&c&Q4P$t;PV*kEw
z=KZ!9>B@*SEGYD%*0~UCvxsCn9Uf-1v~IJ#VL}AIZ*lqdJg8qT@ksMc6{sKG;S*3~
zL6(wyRbRV!(QJX|b2$bTAl*-GI`f4U3EgROpYh>C+I^SaGi515V9~PHk2H4F`|aQ5
z1t|eEcuF#O9+V+_>%xHZCk{0F{L6OX&Ovm;y4Lx@UnO{OadSScmlFku5)B*v3L)8M
zQ(opzO5l$-;cnjJLL&3FY<KxYkxzsF#PfV5h%#A;6*c5RTBmF-L==f3E+5+%)|X1K
zna#%kE}Iv<#MK-v8xu$C9JgAIASGyQ2^&i}z=vA>1?BLvlBnvJP)GZg5<HJ|(79Q_
zkKDZdi^$id5DC>s9d}d)u~8E?e&>V8`;dOl%_$tpcaw5lA615TA*Xl4WQEYy!&Tw7
zQ!?lm$x>GEo(gFCpP94d5<v=f0yZ0?vdCwcVxdq64<C$LZ5x=y(AK-{fM?$FsOtL~
zRc;d=oc|uaEhZ?A{A0I|@+~Ut=PpyXB#;0*ng6XdkR%Xm&0qsppc3Nk4vMPRA;QYB
zaII8FNmTUTu5rPHGIBYCJ98SR3LDJ_)hcdEp_L}lu4f{6MDi`mbj7Q|k+`bAw_fAW
z=xpD&;dgj6f1s%<{Uiy#MXc3F3`(P4XM+~3H3+EX0W;0Be08{e`MD!;PX?uio;vs=
zjj+#wVb4%bP2jUg9Cq8^+tGA!pRa!*pvx>8mgcEiaOJLNh5(;D(lo-oD(EI4hY;HY
zYbhPbwu!#^>z_QzEM2tP%O@b7=&z}*b-IwB=<cM7DWF=)#i#`n0^0PGaz0_N4^=f`
zlf`z5==pH!X}bbEYMFd`$^0i7tXS(9n`#u1+c*2aeI+VrBqZWh<9`7B8y*}=vx<ma
z(ky)Gr4s6Tl_pwo!~nVmDcE345k-vS8|}>$(147df8#zE!h1_Y{4*3$@ZaAaMuoCy
zab4->;t@lTVs6v+;a5aV%Iwi{6F4MwB}4kjb3;)4@|jialmfbhqwH;9kwnzf<jwx?
zhVZq7MI^>w9-UgPT&2+yLwNnoGJ|~|2^@D`F|(6HH!}5wQh5Z?U8B;x!AV0P;PfJ`
z`DD>?>EMPv<^xFWWSR)}(GU)X8HP#MNTa_wykADbIMLYShX=|M4FO;JTsp}Lhmy_Y
ziP}R<NVvgBzR}naLPT{^x4I+|pM_{o=qNQh*>NYHYTf`uO;jj|_7cc#D`~C%?>2_?
zR=Xt<4Pfv+*@0(73{laW8y&S=#*ABsw0v;}5R}#9@?%H@eKQM6Jt;bgZAb5EW>@Wd
zjenN%tbh<YIYx@)((S|oZ#;Z6X#wEVE1MdAMF62E_WyM*24L}00f&E7lObDl!l9Cy
z5BUcxXm(RIll$D=80N?H;pOex^J|qnh>OLxHUDon`S-=fihO2$sC$(kzm>^_#FRD~
z3nu%?Y`fU1qP8AT5|t8-ia3zK?Z`vnTZ3fF%3d=mKV8^bD0&ss$BJgX!xct52FYfZ
z60|1rbilL177R+5kc^~}tmi^MIZMAaC-%2CaM^U#eIKAlhQIIi7oc8p8nf>uDkW`D
z88gLa+R>tQE-F8rC!J*C!Ll3pP%ThjOE7Q}rbeb-B|{0htz_?`@}fVQG{HseXH<?H
zCAw(UtJxu4Pkt21=-)4*3GJ#!+&X4<u`(?|E?3ulGWn{$>3En1=t;+T#%^w7r`Qg3
z*ofz1-9z?Ljs5Cy?W<w(Ou!~~+P<pY?<>O8i{B1f>8r!br9o>xiw(>|+0&)a=?f;=
zaogWKj|38n7R?=3*RWqtsY#0qUDz#=Ki0`SBv^W3_4n!a3U+2XCm^w~A8Sn}kpA9M
zg9lG?5BGgo#$M^*EUeCqVm)R%bEmddK{qn2CZ%NwYflWWY>EGgg%H^{UR+j%-9ZY|
zw=7H8hUJmKH{O#Nug(+c;w2(5P!jW2ZZ2Y)J56mf7E_p%L9OGNKq71kS}s;7EMkY|
zEkE?=&R`v8!-V{G0@$-fy%V8W#6EDE3q->_rqx+A;TK7O?a?TPjqL?&DXVg!t#}b*
ziO&#y!AJnJC<ECViA4<mCc2`~Y8e~CUD?xogohP{$KL0B7BPDfpRWZJtJq_e3?XrO
zJn*U{nPl}ZV*dmeH%436FrJnLyWB_>sMdT!3_iDn08K!$zY!l!5g)(Vz|x0adnT4B
z1AW%}Lm7h0Snd5n=Fpl=tmZm<>GCfnkgTJBF0;6dX|=U39GTh1ykf5<c1tNiZ)7-g
z#qSmDd7`qUoyjg{gvU8)pHl?Gotio;>NU(dYV8*DSqd~BXj89Nt^m(=hT<<8uVb=a
z4~#!FQ6ig}P=irg1#nJzae%341DmDCqA5(Nk<0VXOm3&-p{vB?=r!^t*2`HNL;6F5
zs8U>EwN?&VQmtoR>~3L7{Ps>fujvqpg{fpjN)EPX%-b60{$U~<Z9eHa4Ct)ne{9$8
z$wF2Et91d#9@eLld6ykyLf@~+{<dI}h0C#5)|x6Pkf9)no`-`K`9=DW`r~APty!@m
zhms2Ic9_VgKVnCCjdP2`Tr#kjz&ml>j~XRb+BmK#bD|o-t`zN;(m=y&Wp1-agH{bi
zf?CVC5XT9{CJGa2U@6X^HF`&f92V3IKRfZDkQDFG@I@San8>@{n9hK%9cg&HDR%&c
zccu~b3vi&OVv6n+Frl@ikjWTHek5zbOOm;agAtiSMo;Hh(8>f~#v}8C==qg<j3GyH
zFl+%K!rtttY``VK=$R1WE$t~7Fu*~t)>r*fR!%g3W_`y?NfhDC8CSzCaKKVs)EN-V
zg><#^bIBWGi2QrGlP>@VH;F_mMoAtd8f%tUen|o;xY}FNzQX~PSma#RPhNERTjKpV
z7Af>o_E?Lxgfx(4d77n~_z<mXlWRgf4z-`>b*`+GhTxe0KAZIjAm%=M^T#PNsOwBc
zz{l${fMvWtuf;5cOgqn>xNt=d)m^P|DU6bZoNHG3zUM`dv)Sidwta7E<EZ0-1~~|F
z6nn24CWb`3s+w}6l~9%FipF~@1*mzLQ(V+8ju!9(+mjDfQ24fMtFxREi1lXNnbML(
z=<h<VeHR{ORjmh1xv0RQ1kP-sGAVSbps2&KgMeP986++L#Y6ckwqInDG^*rNR+6eE
zqG`up&%RzJ!iiT`Bf4s35b=XmKHO17zixiMza*gse}5}F)*8#9wDj-&Lqs)X`q4bh
zol+g%N3n%z)yt#W)mKe+FVqlAS{4NtvnD*=b3L&jtBB6w!rO$q)liV%_tQoi+Tg(-
zsHM5@$rq^o1%AC%Lmc!|jizC`P~}e5^(0;ynMjJ*@EfZkQd;-@=SUy&{=1Nyb3p~I
zR((&g3Q<KdlIqufgaf!ZMQAir<M;RW>ht7dL^OZ4AnR4E0bH)R=I$tuM+5n?Y&-*a
z#Gg{%sTgbs??2>HaY^IRi*)53qOLMp{L#L~L^gu^;bF0r(<*2%NxgB%RUTd9Y%@_B
zGy?Y+4hIi{3OZNa)v9VPjU0Fqro#>y!>`^WwR$*Zw6zsZBPuI_)Fs3n6|NgY>B+l4
znc5W5RDOhu*I^;_#Z%8bFWwm56orujv=tCXS;VW?hzGT=3oTEbH-=O0B3?6><&d0Q
z@WV4>%&3%`IR8?{7~Y-irY^lBgCa_1tVuuiFuJMj0Iwz^5b9BZw@Em3G>m>`TIx4u
zc{Wrv@3;{xepD(QiI+tFJLf}hS9X)x4^y@qbs0kTbXUp6IB}$zcy37T(K7k?zathL
z=7#X_eo1V!oG4=W63|OUxkD~s(y1@4HGsurj}-f}f@q5Giu;Zi6$Gse(>)^?K+)bw
zb+G|HG<lyTuuP2>P^Ny=k$eDsF|&^%F+7Okadj+Sm>wvdJy<Oy0ZxSc(vR`yL>?mQ
zG>b<V;3D<XyX8Y<uvs(6qgH1{%>w*rXPp7U!z0$CZ1myR`ekc>CI-~To8f*#oe|FI
z-R5&Yrw8=M%XM!%Q6tIS)qnv-Mv(K$pD;<#h3Fi{xht@X{WA@*rdeTtd0f+@^mjVY
zdE)x?Sl&8D6T9<U>oEg#r|LTt&uPPv%3tQ(<qOyYf7Y+*It;KHVc*uOs10+QbFBt(
z<5=8Qy56?|dZ?-1jw4^zf@U7VY=><JX3gvxo*zvQi?-FKo(-B%X{zaKwUk4qVs5D{
z1bQ%iE2mT_pb0tUuj11Zy2u|5dU;}a=;40WsKUKq4d9lT`csoNMiw~~AsR|U593!m
zJInSto|C73`A+#1*-yEi>lHUWG;niBl^LqTxfDlYi^2lg{LNT$q%l3zpRA)dFC~Fb
zhK$9fq-C;Oj(p|&NA#fWUtVB{Bf-DpRNI2b*T|WxZpT|W8DM7m!frse8jR75#4{{z
zkgK=I-+sPkfSXk>L*EOjfslz!dVt>+xhG}YR4{}QPF%Vq!IYy46fC6SH~s&}jn)hb
z$(~FwI4QZ~D60z3hxCto>+F#^DFlQ9BbcG*X>MIn1rapk`kHmVQ9yrl+_3|Q1^kCd
z6WpdmaG#yUWm8eXnb+-|lqzfxJW?d^a+Cngwo5rp`qWUN8$wuWWe54;#g({l0t^bO
z+z*bS0r?^ID8DZpP}kbEvm`<QrYlnybcSi6_=IHEPAexgJAdXA{fvhf_!aFthv*^w
z&eqG3NiKNVVW!{~ga>Vzb8JnY7@&0H>@`n89vIT{R2A9h{xM~rM*UMv5clra?SH<!
z(7`%LN^4btE&~y~IyVahm`)<$(F4H#-;a@*V=A!9xxzO0n-vZVf2B3^=Ld(|Z<|u4
zl)-HN#Ousab{JZ?v9vC65C*AjG`UlhVKzvnv2vFKN(P?Xi2W-F=g*VP^sSU3tlH|;
zVF@lcTvPI&!m=<7aJ^@d7gYwC8i{ke&fMU3{F<EygBTc&^<L0pR0f^0&SJ|V9ynB3
zC4639913`JHA!sBkd<^y_a@%~2(@(B<93yRiZ<&9vIJ$g5!UScDU%O~GsDf3xsu>^
z=URGvkTSHk*WO;&766J6U)F&gDL7*MHAZINEA3W)$UR#-2(5)zQ*}M1p(}T<MletX
z6dTA#Mq7p8m;Z(FYyC2i_#*7*X#qUEt#U3@suh7<<>3SD_HvNuCT-D@iig(Wr5Dm3
zVldwQMp2|+9v-tcdql|)Ah)qT<#v!bB#2fGggYw2jh6cr5Bmv_(Z9;Vmm&dKm*IXu
zyApVf?{<AFAOdH0$@S=RNf4zmYk8rj0_Qz*SKYEy!A{wJwqZyL1`o~{-_yf`qvTp`
zOR*ZzoH|3bPAd&XuA%&2Tk+6tF+AlrMuNQtm84S&GGID_v774?AT7l3&ncn?%ti3#
zcpa97JZGz00(S|}{bQb+Ia?DBU5ylfZ7T=i&hEkC<pj7mS-r|Gstup@{N%`H@-Vuq
zyWm$yfFE2VBVxrmaN@zad(~nJAUWnbXY5A+e2wHkQA0i0qdeZ)(y0JbZ*P7w+rk5<
z`!Myzc76CHf4VWkK@sjd>Xn!u!9!?Ijd`6kKwvXNO-rF7(6MisPVD!Cj>o6Cp%*~-
z2AworlOoJ=OEOk9C_-w+%Gdfp1IW7Zj?=P05#olp-jz7XLu%{vS*mpd@DHM#X*s3{
z%8snWCsi_#d@F5|+QksA1~LgvU<$x-FrZ>)Lkb+9#_-hT8p8PxX&;3C%0s)YUFkg~
z2`I0UZ>?@Kgzs}C&L4YnaEQv}Nz6|Xpet1Eq8l;<$zyiwf+Mn^`1X6}g(3kUHh#Z2
z`^6AeliG?tWypZFR==RiAP-2*fJ@$f{lGhkD<|}&p-e+UV?Bxkh$6~@d*=+{e*gdg
z|Njh^cRbc#6vyqIz2{@khsWcw$M+Z|MP(+VrG?1IXh<RwNg>LJR3v32mFRnaHjz<Q
zwkR`Owx56R>%8vg-gECcpY#6sXZgXwHW_&5qg&zY$_#eu1CCQ-CO~~@u@rZfhRbI+
z31&?+Ad|RyV_%Ii#J{iI<{p!T&iNNY8_DZf{D(-xBsXIS6%xsQ?@s`JFE8%=)Ol=;
z`H$A<27m#}sxXhRINa!s+#a1B#d!ZjIDCo+&^)|X>Ai;t6l)3_ZvFa>5%;)z@yY<K
zh*VFt3<|>B`DFs}Up{vBZHnoVHwLuVV)7S5_`#*Gxxh;i$1VS49c4~20?mXR+f8#`
zs4hzE?zZ}dKThOMn5i~|AJIPvHW)Yj%1^WUsqq~T`$657wqgKpmSgWKpW%eKlP@Jc
zrToB&E%jS@L<8u2;BJ@Vxd&E+lliXy{*F&}iN8MSp${${r;lDg%L3g#6K8%Tx8Y?{
z<AnBnJz(nOZ(uHFg!vR&C2rX!{7zI4WqwH)igXv0<1Oi-^^GR&Cz~p~q%%4GiHR<R
z=h6I`RilN;p7zbg;9@-e_c8L*BpvuBl+ygeff}G{-rh4P2J_BzUuvAu26~FoYJJcS
z=Bp_!!W2}7(X<hNj33YjRj2Rr)$cYj>r0wvp9nNyL{y$wldlEiH0QoOIJ%B4$ul};
zJZ#7G_t@#F^Jqccf{QYKY!#D=bxkvV*^LPnd*eGHn&996ZaKPW1skB~%9No2jHdO<
zLFO3>+_1Z0Gv~03k%nEueSJo-xBeUAN+&6B=`suJCzB;i(sjWbMT}wTk^09>x-_7q
zO1me(dlB=ca>>Lp$1#1~7X_L&8sHRc?GW~30h3cbl%Z5Ng;4@R<)&K6pyz4Ov36+z
zLzwke&Guhx?`G-`OItEHaSl?-3>Gl2{5+H*H;?HaO8;QqqYi#Q1H!Gf7qC6gGOuO#
zEnwAO=2O3(R)@i!3h{N91x)u$)q?ShB~0qPmhjhE5^Saa>x_TBfYGQiXx@le!3uZS
zU+do_!IUk>wOGkT%&IAPJnzOTwomzNJ0C9zs?IJ8tyC;xrPa{tma>j9Y{u8-IjBK;
zcZS;On@iY0b1v0`&Q0u9(1r5F7**(M3?7-hu#9~$aNKv%Xa_SMyWYL0o(ST+iRYDr
zS1>M}D~i>VRIqSQYnhpq2w2#gWP^f#Sn3e|eEJ9tWHx?ZrnOfA@0N;^VvaTJ`Tbn!
z!5_3>e5EH<=A|;2Hz+uyrLJREOpS>CDm{pw)4{X1mEh}Hr3<(0H?ij{nZ_(;jIgsh
zvetN93A9GW3GT3seG9ul)vLt}Uqy3&uGT67>;3OT<7!lJ5%)V#;J^xY=X^?^Yb%07
z?R3C^Gc~Ne*QjR6-2;yOHe|OV1uzhbdg}0!26P(ivIYe>!PQIQ`4mL~uElZw{lP^C
z@v<SRfmgVIm2J^oyh<L}y(DA_S@fVhpgtI~!42alXr0(x<$>pe$sLoUjNs^W<!VzV
zFWl-o;k83658YjnoYC6MaG<Fv*7_npOyAe2jQAu6=?BiQ+}z6wn{J^ZtfvG)SAvc;
zI8+XXp3k)`MC^eh`=1Ukg$YAXo~<{hqa2u>{de%^8V5wYf9WyTCJJIXW)*+;$^i`x
zSFVa37s#OLt!!Hf=ygc>q+%%tAEG`7*)(#)$1B4NFX<#9GeM^RqPH9@;ZceKr+6Vq
z{dt<%RVhfwQF%L2C<j|MTrUzu_#t_HIgE-`1_GV=MZyK;VZ(}h;^w*lkiEbns#F$~
zU0y$|%aaG?ExU$~J3>HX_Ki04nmph?uf;BVDZsFKDLbYj3LzmZr6Wfbf!`>1dG3ND
zJUYc5aOS2sgj;>FIc=^C|B+QA<+7EaBd_&sWe5R^L_`i+n(h84vwL^!WmJIcxw~h7
zvm{i}zv#WSPYslov)#3qh|s4aMT1nOAz=8;*YqqB1T1ILY_pL7Hi;=Y=`v8nxK`}=
zNFCzq5&{~m)M0eycX$TB98eft$9ICsP~zjYaQq7yoS8h29!ivlLd(;uS=esfE@<9a
zJx+l}-ZR1j9EuRKdGkHjpa%HvcuwCTYJqHsYvb>mN}yaXsB-Zj1$w$hMnz<GU@K+{
zkM39A)o&Y~45k2&?K^E-Lp=~R7(Q4cOawZG9VseT3as`^c*%Gez$~j~PKt^u_#Aw3
zDR))_vh0GJw^NNkHj3x0E2A1<+XXQ-DjGl(HyJWG2{8Wbf&BVYHE=x<RcgvdhU7A#
zGha^`L*&>rx5|tfOrDh2`LBQk12bPPqx~lEkLN?ysc|)+eLG26<x~ZCt-^=<*i2#i
zUXfsMoEoI$%m{a%RDyC_+4cArrVygfDyJ}{3V|mV2eBYISV=FYJmfTk%5TJO))69T
zXBYV#x*-L3E~Skgwlo88p$$#_G!^()lK#3xUku7`fPamX8GQ06>xvgr2Ax1F*8EvM
zFw`#1I}K)#*<Aat^qeBp@+st2C9{M6dFq+{v}Rywe?3R~fjk_aKA(|2LIbM`?8|<6
zrcgTcx={Y5EbJS~=r*mG$1*B?X8#(P!r>7A8pUF17;>Av`98V`BUng=?fuULh~wqd
zB1jUFb;>GN^2YH&)^pB+h9)2tyJTotECCPuJ$RmVui%INK2KUMF@}Y!#f37=qLBHZ
zhV4u9HlFvm<GY=TF*wy;-$}bK2p)HDXEIpQpsc@jwuLVMc>A|8H7h>&8J(AtZb^rP
z-bD}RO99lZjoF;o#|<7OK}O<_=+QjfSG%`=*RR<$K6|dSLu}a_ik3A48ku(X{%3Cl
z)pTjPLBE*6qW;?nVip6U6^X3;<z)!0Uzccm%;-T~Ig)uGn*s4jt=&|JH-Ia8W<~l!
z)bQGWBbm{U0qK(m$@b;?P~v>1(f-{!HXXbv&@RD%@WDC3AM<)}JnID7x4DQdF=|?#
ztDr{<TBR1$Bt2Nt{Fo}dI)zn6l2q>;rALkTB`S0Sb%D@-Ot!;#7;AL;YpJ+OhpHF5
zPmWgUK+}t>j+BOP*wdw`_?ee<h>)56FHlei;uX{wHl<SWPwZ2qOm{l87$GJX?5_=H
zswZ#D(zfAs1*R`k%;-?hpzMdxA6h^W>syBA0bKOUDL+nqI;0nhcWLTt!BEJf<mMM+
zxYvBFisxZE6rg^x#X3h5OhqcVGM%RIH8*}Qzi>L_b!#&=MNkvM>HjPoJUoZ1U2xQi
z>ZU{2>EA$a90gRf9c?qK7w|3r0-wgi^r-59xbzA$1y~N{WXlUK<7NtTMTV2~i2q63
z^_FN2AcfY+j@tgiISTT=_2)96=FpU72X+nUb`E{Z7q*7Gz0uwL5X*?30-xILWHNkt
z<F<GtcLPrj;fh~>#DqpfRP&r=$-tJa<(J&Hg;OG4Gtx9LqgRiQuZ(_B2j??)Gqh=_
z(4)HI>C-Z-C^u(IQS-1mEZS3XZb?%k%7i)9d>$KuJg;nzDH7DSiS^vJra@5`?#@>o
zXGbhsZoCDtB;Z12o8ob_sB<63fT$!V%G9Xo(a|75l3k!YO+OvF`<lvnLzxTt#@;c1
z{6!5C+p0v48#AEQI|Zh`*4*gSqpYzTQfkoMH#_C}g%O$kTzbZpz=IwiKixO~P!+yz
zZZ@kPWky5l%X!fYylB5Ts88?q2|>#ib2<)IWOL1C<*_e6I+M)uH6@)094XIE2v4vf
zO3Z;0Hf}*QmG#ZpNskBxc<-6_<Lt;MO#DD@hY(`E8NJy)t^ybP+uiQp;Y4wX*1=+5
zM9|^D8&1=CDsb0VU9qK@3;7SI{+(?SL-q})^oDM!fbG|mpbtyjC`vGpE}xo!s9ZN@
zz+VOG!#y@S5A&k((>+S;>XJxco>q!FR0Wj&%uZ$1@S!W!Zuy0mrI2p60paQ^6}Tig
z=5qR|0Mdg39_=P+lv3Jhd}&1mQhwLBNHYkb{>~ZeVl7!Tb;zod&4UP^?|Pd&ZWl(^
zH_c857R#Zhah#MPCRO;jKZj|nTok1jHWW=5D4@8yDdyTPRZz*&o|~u^M`>eZ@5Aki
zXr-pg<7=-PbO~71Ke|jn+ElKj`(DZ@k>f=D_U=16e_)euOpruT?s<o{8HtF!;tc=8
zgX%CP=ykyHixjdVcivQgtcw1nc9<6_lOde=pHS<(G@4ismGogHq0<(5Wdo`jaL5od
zn^clT*6!XS{$(U28aKgPWlsSY?iB^UvvMe8)bi>_8+D|8j||;UHQ|hu6{k*`JmP#p
z$u4P9M@fZUBOI*SKqVg`!QG&Mj+2QB4+&%x!`yx=G(iVw3?H@5k1C?~Eo;(6`^c#L
zSU>?mLk}M8Z&BnKS3**lFyVj>8C9od<dqKVgOQytvqhsax>z*bt}v&LYQFyUn@Ti<
zAuiF==fYKxo2T?;cTaUBD|kV)7%=GRd2$wKC8Cd`irON1B;?vU7qjLGAn)*i<)aG`
ziB85%TAffsofFR2%jJxLjZxF_h%XUc%!+a?qbH)@5=;WO8jayi4Z}|AJ|cS0|7t+X
zSqag52_I3jF#(aw%yv9|Dv0A#Oqo!yJc=%Bmys+pfr9q&1BDtYs6Y9=w^5J`Qmf3m
z6F_AOZ;!s|YqM5H1AB4ve1A!#uz8hPT-Fq7>`x?37$_n3)l2jxY+~qEiuc*iil)%F
z+2XsiselrqYRziz2%tOu;#!tmrXZSf_p?~4Jd%Iyb-m#lH)1jjvqOU>kf`;A@R1;g
zC|Rr;CM&E+`q0h!h{q<NVCl&#kt~C}Ql6iQlBPrUh15TUO-%rog9=tgY4pS86zu_q
z4Sd>VC$MtJ7y<+-iwA-w(cG{({}AsSZk%8tWg2J<)`ru4oWCTHsv`|-OZDUS)D0J!
z7>t2OZzjllP81yxwI7ivdV=qtbuF1m1o#k(8OTTqqmhpCAZFI@7z5MH_w-%=vdAfy
zbiO8l;%jqC*S3bR^$Na$l+zdlw(onbM9YVc_}J6b?)i-=gsGmH3pauQ#fF%nGHx`u
zcw_RD>;x8}wS>py8G_<sXNF}qCsMtu_Oc^y61&HJ`?+$L0Tf0=X7LB_K^q$*r(~BW
zvFpZ|9FfHUWZp}gB{8xf{n*XI;=_|z#)yDSuBkqF&1Y+H%rl_po2s>nYvWiA!}qPo
za6Pbp+u|OnMu+^i!h8P6{K3R!PajNa(1poUZ~R;<s1ZBOPX@!yQ7p2~?0zbrE)?Eg
zzJ@98;D(j2xhtNIV5;AHCoRtFfDJvJUf}T!oHZ#lGfH6yd+DN6@BBr3m;2NF9NAZK
z^(v!|MVnqMK5fM!R#+R>Vu<w^aTzyZjk36XvJ-PPWl~DLrUeP#+{O3{7x2=1rfPYy
zZCItM-d(F<O|T+;P!Eiq!+nh&>Ce<QU|;)w3wR&Y1nP38mQddrTy<|qv~(B3+&Ek7
zn?6wh??}tq>o|$K+|7OznO=xJv5Gilq(XuEFIiVjD*oU%b$KEiXdJM?Mz^ulXBzO&
zrrKWQ;TZl`w&2aB6K`=~^`)y6)qp!8)d!gxf8j}%tuD3fUvQeP(ueU+$dEYMTK?a$
z5u8IUYwVj^E#C6fm19zb3<4FW{<>=q<K4~d9rlD~yfNXY;k!(Ac(R`K>9W%ht{xQp
zu3@PS*JnK4)~=uqPo)m<iv<nhjRvn@#U1Lvo0V=Ws+W+!lWW9=@znrs5hb0U{<0hQ
zleHB8XhMSE$;s&>Fo0|DuZ6iX^x?V3C*HltRfD3sm6MT_0lc8V&%|qYKQkV+klr>`
z*f+N+FnePF&&g3rYzrI46VRpnX)0B~JeaC32=B%{Ou85C^a~Gpppa6kNra@VKM%60
zhwx%n`T9Kv$MAT?{ysq;6%ZG?tDd$Co2%KS-Jc!*;FvS=SuRip8TG!cM^3|dUUUD3
zQuG9VDch}%w5$YgDq00z7>(er2`<*UBU3ovqBuh_rUY+akykJ5|Ap6dtF;Py{KYF2
zULSC~uLwJiP4~I3jN-hEwc{lTyYq;yAp?0-0kqpRBaXI@;Xhe4<I^}7@Uk|09}Xi0
zIP}N!>UD=dc<Ir^s)T|?ykheT-+Y=p)J?^lvSgaThm~%4mt9`QjhNM<+Nk7Vsk^#}
zFg1y{OuVs-J@XIWyE>s!<SqyIB<z#MXlC$^!G*Qy@HIRsU-MFOmn^(9`LRH-o5itn
zjt!LV4ZKrHy(Hm)EO^cz%-x!w!?TvL6GrE^ag8}#6|a;5B`N_kS(gQz_&D)qSt=Du
zjPZD41Tt_%ZcDsnY7uXg-ofYPX^=!dd$d`VH1w~>)8{;2#^dD*YbE<=(P*iPJg=oR
zyk%X_sJ{CTCw)W7k>&JAQgk|*u2%}Kh!xY6JX^yj8BfnvHZvmqph3plK2p${8!~cZ
zegl7sojdY}mjx*oN~KEfk%HycbpF!o+xS-Kecs??HYDE}bt<|@5>E6vW*NSqLLF0C
zt-j72C<UJjOFAwI=Hv0aH6$9eS12I%g$5T&uhsow%_j*|;;J#3qqOL!kF?6#5I0(v
z43J~&B7n==p!)CC^vFERW&QLgUUW&x*~|O|0p760@_p)HL?NA9q)Nn(DxpMtGmHQ`
zpP84aL|M@B(SRF*8-j>1vN#oZi2xlJuEf1fV?%-J8V#2(iXfJ@sO<<J0{rqj9>(Fy
zf%vPHpM4h;M^rIc1rc`$kYn7P;GoWh5~7tD*1`yA+N#<o<TC+y7n*KA>ETA2a;<t%
zf>Nk#Zd6&9T@pC&6U&wIc#&{cQIJKOG@AJ+@zFJM_r6Dsb!uMlqqWMhn{D~BNNc-+
zK0-+fgp=dVroIWH*6RAWsyumQ&YNOlK_d+<9cqR}@*>D|J&rZFK@p8jRUftEmw}%4
zyQ4RX#1QRJvUe1{3bJ2n!OeYS!7WI$=C~FCk(OWCz%f;1sTR<eC@c@m1?Lxa@+Fb@
z`QB#w<0PbV(RfFSpa=|XU138y(x`~r!hAGd9bK4zHvcI`89d0kibXv#=(yOwHlYeK
zdVOX{N8-FHEDfFf@77&8MEKZ!Sif5X9sAj|f4YwZMtu8{T=ps;b0@#0$PNm+mU`e%
zT@@K}jtF#U&?up^Ej0;ZFE!D<x`qUvKNPrmWGbY(R2jYh#Y3H?tA!}+f2=!<wc*^@
zO~w=lA|kwEzjq{53-!r=8`Npkh3vG()I;A@Q8K|u==FIml(wATxa?y9jf;pkgPnwK
z`Pwnw_^pYaceZxfN@5^;*H3`-kc9g9S=vRHDd_T>QCX(pU7Y`IlGHg(LIvS#1~!Qr
z$fo{*%rg-a7_b|jF%ncqO*SdMx0}^b(R<3wBeE&n60&_t#i@=&)FnNP&Z?oq0yAD8
zh0K6v^kg)#orErW_U){HR6?UG1x&p4X5iJ==bv$cgi4;bPgu3eqJ3FLPndM~!bxUY
zpC3VLh+(YWCgV2&2{T#9=U&_k=iX91<NQfPj%?>E%H0Ifn#KMHcIWrP#mDF0xh*Rr
zhOO5Zl><0Xsq0coIcYC6<=tY2UPWa0z@kfAm<oB&5N*TT%^*!t#ycTh9*xrpj%2;=
z!n1N~Ek+&8fP0vuCdf(_^#z8tu@=l?p<z5piFKyn)ese+w=RVohZ{AcpHaa(UI}p;
zqABppdiYfr641ea{!g|}F~WD-A1q7vOn}PgjQ;x-QFJTvgZ39sHkebYU${DJ40?;a
zkIbtCktTzQxh*Xx?6(n`<+nEmIeVVm@-|-NP}7wzYQP2JHzxJg5x`O2C+|)va3R}p
zOFCmJZn*W$p~#K`5Lk7RTQHFoeJMiStDf9IMU85;PGBG%+gtk7iypo9mAhe`%neuk
z3WzahjevBaWi_jK2QOe*qBncQ4Zm+x)vaAM1a!Z@RXKAR?~#|T+jE5*9<+7jhh-Q5
z@5Xf!t@H%`s&7wDj^*yUdH(aAZ~9;&@SW;GZ5w_?CnIF92sgO>JkWoLRUcxbY};zy
z)?x>|8GKu(xgc3*rO(Ai52izoao2tr!JxT5*}jeoPR-7qrDW^Ef1|bs1HJ!Zble7T
zu7C>$>-U(@Z0W#PT6(M1kR{Carf-USE*FGy(vkU3=zs;9Eu!pQ!?ybD@`p;ephwFf
zZMa?=j=41xdNQ}LvZ0SU8J%3vS8`2YSyvnE`^aZd8x@R;JzrX6=LWiU-g{d`T9B(v
zlb~Hd14G_?gPq5B^XYQv!ha+!m_E1hq``*{QoEimZq#xEZ(N~(c&R3oKJ?pe5MzMr
z*L(c`n)86rzyvLWi6)F(cFLYFXN02nBVPz3JP@IOmnHNE1xRyQY#w&ZpyxPnV>O8v
z<VkTMSzZ*-5cztsXMzRvI5g@y-T2^mRefgi9tw1=|E=`C#RhGgRY{_j{16aV{5ZWt
z1BU#SkIhK21Lz0PsT>x7>vKL;)NUG}AGgN;p@joPSKm9F^AZFm-aihqLK?7+jz03J
z<%Fw49CLCxLNJ+j*)F7u3^b3t>~`LA!9K1bna`WT5UIQII3a@!S<gQ2JCw~0=QH~%
z9K1#0oX|m5rb}eVP_GXed(H#lb+n6gn_|GfTA2U9f(%dJrbQ^f=Y?(hjl`rE5)kQ|
z9l4`Qh9O>b!KH%_`VS1Sn!YChvXm9qCG6^|o_rC(AOIhYLd6!JOG2uSCT1i~240f%
z$14_sP`EY3E1D$*zf1~hWR=LUbj($$HA4vSXc?}Txzgb1KD#Bnmkbg?nxo$sM4++%
zHZxn93^0Dolse|KdrrpgcPGL`VL)$?bKiGaxHI*`L*~t{?jjA})*f+ql*}?-JTC`R
z6Y1<|lML2u(pS=7OF&<_gBA_90^C=4{PN^U4Y;jKZFMN007t41IZ2WfLC*A#vv7|F
z{O8#{Y#l8Ln;fJdqPY@SEk(yPo~OXmtAJT}?)o;tU)0-L83IF_e{8a8!eNH32Fej>
zSUl$w<+5J|{A~p|o9Z>e{=v=gbWIshzT`geS%wI45x>r(Ct7f8+Lix-pe#7sG-lTh
z5Fwjzw<14G8?LJF|1W!47WTWpExYWk3ht}MiE-C-V6$>)d#zp$^m@D8d%vnee)UG(
z<=eV&egD#9=Qw$QW|fi`v#Ovr7ANMHst07r6enwA1yGC0p*;Pr3U933{$_sEhc3mF
z30D0IP(IB!w9j7^Cgqz#4R$%DnvV2vz*P~1<9e?+H4&lB_91GYGX&c!c7Eeu6d~`#
z#bf&iRp4)>mO|XN5lDK>7>;ZzLZOvb>gC<}(w5@;Bw-DMG^%4XTzpFK>fOzM#->Wp
zOON<Uy#Ve^CN!1ND}k}!F|Uqn1@OFNQ>fhnP_mEx{lRaFyCBxup42A?o-s$mI3<js
zPD#S%!X-s`OYArFUzdS?R#E-W&bvJL{=&-SqyqGR^-W}Dl?E}YL*5|~#!$0dQu5VQ
z0TR<#dFn(YL0zUy_55RFh-I<EmqX;?5w*{E4nJ|o6L4}ePBjL#%9TF$3^|y*^*ouO
zR~S}9&3U|IjKSy+!>ZORS>R0C>B|lmfTmuDROD$4w)Y$bYM;x%G(Y#n;9y=LxBBVZ
z7#TyqO}8ieBWZ9ts<3|bKQ7p~+h}!+-Wco@8d~LUNx{wd1^sW;?C?#)MuVXWK&tfX
zRpccJ7c>_LMWrlIX?yO(g)6&xP?MZzawWi8i=79XEh7X!78G_-+KmtXz(>jv2i4xf
zNTzr?SUHv3KvjT&^R@5RZMmY5QT|b3<s=P!wGFa4Plv%{J+{=6Dq-M_tax(o0~NG{
z+A$~}HG*~jcT;{Ff^h#H%jt3E9gOFv(WJmDL-+x_2OrxAKz2zgA8WuC*4P{*khEa{
zronVi>KpmsfaojbhQv)Q=Y{><lEVg|Qr5}TeTEnA4LpDQ;qWGw>pReF@=_lrk$mqz
z0uRuyrH(1z-^Aj}MK5>k=z;k4t(x|2E^u(}@A1aAFp@`7eV2<K44TN+<!^C<r1agK
zs>9n@WOZF+QiU$8Rp~d~5ak3Vx&)s?#XH!?zWOv%DP1sksQ4gO!VXVuSz;F7P{B88
zM|s8=9iYiP>&5J`2g;oYa&uYKz}XP;XZ@cx@N%#ztQ=*7(~h4DMvG{`rS(OShPyW0
zDpU#-xyA~t*q(&sURqcv+77QA&;lXd(!_>V7FgoYjxP|S2elwW(@&0C5IAy><(dNv
zobW8RP7Y!Kkh40Y)TId#p=f8AnFaD2?4sNz7~yx^)ih-%O;8Ev-JTz31}+o+_n-Zl
z;ogePTIVnY_OmLy{yonOh13x_H3F=_6e+`P=}m$73r=kNrCDGj-`AF>iw(;DQmYm1
zXu$OuxytElETC}WaLvPa?4advFp%;{185t1o~*C4!0&rD9r#gBSkE3I?jdV{;G%KO
z*i%+m*=Mwzca94VYKsYnd?!QvZP6}o4>lO>sBjpG;s#>vB6a&!GI;S!)I4?C1OEd6
z0RR6Kmv=l>{~yQgnLV>N*Sy!Y*LmM-lPD#tXem-g8BtUyr70O@B-Ixw6^e}eF(P}0
zgzU)PyMFig=lML&<NY{~_c`bFe7=k-`5(2F@j>^gq@!n)G~v^}`k!_FoUpt#v3G_^
z0Ju3NHM9E(pc?rtHTW$TRIoNE<)0CROnMO!o@4@Wd&QT3iRFfSO3kwOhlHTgi9bZs
zjR5UiE<8i~d4Q|gm1!n$FObi3SASF>0L}e9H_LInz-^TvyGKeCDs04;9JcY`vQK7X
zc`qNBttCF8nGypl@wtYHA9x69VrWs3;)m}(?&%3F67T@W$aAh551La2=6j3<;I~1b
zSjt%`cx<+Avs{datX{EJe1IU-%=d8}50!>8nVG)AQap$TB=Cuq3xWG9au+#K1~fT+
znHZb#@Td|jm8ACqG2fdxs8SZrijVppnZv`W3%5>RN)v(WHKe564LOk9!(eM5O@PW5
zvTQ8`F$kM8RbJCqfPeEXwf1KSpx3qZC22q$8qK0S-`r4y5-x`0rd0%p8%qB0CPNZV
z2psalT9shi9VL7rYC^)ntUB>hDJY3x(o_*u2E7{!@3C@CkX1}ucFLEAsfZUpIy_Y%
zkoZzq!IKCQ{QJ|&b7dglFexiIMHO;3gYTUY*Mg$a3}2=<vJiK*`z5hl4XpC>{tH{x
z0yf+A+YWE#;9NItkw~>V2;KG_lAY8BkD~BIv3K&&uP$GBDpLcpKA&zkUD1I*JNp%F
za}?m!V5Z8r0v=idc*Xw{(t}f8|1#yDDuTrQuzR!~c<?fLVKTU1AIAM(>0Sy~0tqD<
z6YWcQ_-ez(D*wa)zUDa!W?AAO@`y0~i4%Be%fD}TV$2Zibo4UTH*nBKesKC0b-wEJ
z4R=dzV-TU>uXWv429xE4X@>|6xN4r{k`QSEGdd$OtgFiKP`YE&*hL+#HR@cx{sn_K
zq_0O5bW|YV1$%AEh$?6VvIb^d0HA-mpP|iK1%iJw+nUI#!0Fe63_s@qj>)7%(W$FI
z6KNvwvmy>Sct)qr9wos~uJJDNh%&5Pj=C25PXRcsmoH=&l0f;bXv@bl%HVm((W<gk
z4%h@^FK;iCAp3V62U8^uH2sZ8&KG3hM#gqwzX%yV55CTEUQ&Xsvh#)JN>Y%u?`Xnz
z92u65Jjt7(QGyH1$x@dVMS=NfsGFM%8CI?6qq~<BfaP|#<JDdv@Eva_JY^!oHA=ur
zW{W(S1uE=Z6Xpk(BRK}TKS=P4D7m=tR1RD&_V`YgbA!&&&J^A>5}dZQ<UMpu7QDY*
zdMlXD4iTX8nENmZMsk|xN+e{UVCr(iY6=s~W?4JT(UU;tU+esXVJXNU=F#wb(}B#L
zF(J7;03W}$j7=v=koo?P;l=JQ)`R%NyX*nPs$-l!(TD@3;JQss!Uoo3VY+g67z46&
z%=f@r5f}`4GVU0#f*E7&U9D0W?0;ldQkN$T`CDfA3+EQGO6Yx=>tO;%FBrd`{v-&<
zs@?GE=Q-?6JI($23}a}0qq#gV!4J8-`rQ=<Ggyhj<+76_MqoL(Ece8i54c8F8lH(w
zW3k@hl?RoKAiXgCi&`lUd_QYnEGRvV&5B)UQVcYN<fVZQK@V;qvcB;Y=AXg(O)pLu
zBLnFC>8%p%zzMvsmB|tHvlyr8fu(P}27vo&&t#*#2a^07yxln$FrG_#kB7bW;a=>E
zR3j@kh`2uYQZ#fCQxX?*y#G}Xde@F6CA?+<(m{rNcfn;$x`gg>gS;L%`SSROkeH#t
z^{C0dp%rZSrvrW59bJ&D+8?t=fC+ZXYJ~2zu3>9zzX(;!Ixs0t{E#fp2pz4Xue*M2
zU=_lTcaI;}0Wo$_@5e_NU~Se6U&gtOA#+^g(N1l+AL)Ab6NMg_&(;+lbKAwbUKl66
zvDSw4;L|-Uj`T3K#n`J_`wu%9Skq`$qXnEM2OB0h>ET_$NQ0XaEjW}!k1CjI0iz06
zFXJK|xIX_WUL8RPhH+DCj<rPiY-<n@vQ7tWe{7aFf764RUw}oY9TA?`rA6gP(Zfmo
z2W_lgj9_iq-~Qo;CVW`P9Xx%G9!Sx4!gkwCFd3W4Oz)!!GUtzeYU`$l^V7MOUb!s5
zDKz+G_%8t@4dd^6onU}4`NK^5!EC^O_v$HsDlg<B4;O86Q1>uyac%7Q9*A4Xr2Nz&
zKzs`^IsXSEG{tdVuAuTKfOV_bwU3(fABdFQuS^iMuf{~tksJITC)eVm@W4CFQt-Ny
z8N|NCo5@A-z<3?yRXza^_RHVnKhd*7?)z?a(*|B(H$2OAu}K4HCn`-NkFdd=qdrF>
zmH9#M_)XDUWDU?W6{JmQV+X1HQ}_E{3BZf*H5wmk)nTfy<6pHu2V|BNj~z1+g8IpW
zO?s~Cu=;tG!e_t*QFBT6{;djwY*Q(B`d>AuPOmX@P2z@(ujGGeEmUs2W|qh-QUezf
zrQ}LB52U>%I?vRL!OG@hqxE%aP7fI*y=><NkC33L!&4IQ>{g!V{7E%f-nHsv<mZRf
z%1p=kL@6+R`luQ6RD;5hcw)W30377}Cb-)u4d<dCe=@(U23OsK$-9$+Fj;XbCXY`R
zHu7x^eLt$fZLu-esH?)zmpz?)_`DpHMxPLf<Wh&sJqLw1)I}i5^?l%*9(gb{SW|kH
zpbnKL%hwZkMd2<jpLD!~B5(<j#T_j)K-MhdoWPVgU@PB)=DU<2<lRDa3O^pw`!2Rc
zEJ#A(g~iXIp31PMLHhmoIUXAI^@?a%rNNBP(f``43gqcA>So#y;1})px?}P(P{g=<
zx&D$G@R`~EjpNgVGx2q$mbS96E?m*zHLDII%dwqqyPB}yFBO{&k%M>@hXrRUFC^+8
z>HcHUf>7MX$+!Q>L&XiwRRYxm+6v=;`RZsx_fCW%UAF=_DC+t8Sr8yG`ayzYv<@te
zxVK%|RfNh&ZPOpw1n3?gP-vXjh07`P*V=?|fQk&qHAe|x{6#pE=aN2XDA{~o7FPz<
z5fPWlIRaR=FNvIFGlWxdCXFsED$p|3#xwJk09;qja_;09!E|!#1<O_y7=82P=F}+y
zxUX3R9I`Tji4R9iv2&{6Sw3Ix*?<SDcdL`neqfLy^*lQAyDB*DIG?MV*MOrvQBhyA
z0o*0DR-#$d;8&X6MY}OID7M<6UpPR5#d!YYC>k}8{dL41T~~pMGMuE?C<&rIw3XMC
zszOA$0pF8;CD`T6(BpC@!zCiqub&30@IpKGZSEcgkT{q;%KwfG#=hTzbFQfXr)Bws
zsfsN8*J3jxHAaT)Fz0K^@yd`98g%!MgA`~mROdEqks&?v=1I|D9Lx#^9TZa(h1|*%
zJ&_eMBy;b-9j-<7m|O;bV>Urx@eO=T>?A|2?0573??1aalHty29^i9I4_tUghCc^5
zE1#T{2Tz9^-J|hrpu@lT<MKf=U^$J+?c=h56aQCxK8zkTd}kTvw@6@~q-Fp5lnj_C
z-sNzh-NtGXul<xxApu*A<2`}jQs9ry#M2NKG5MbRkIvyq(0wzyPGCX;68fJ1Tl+AA
zMJaB)O{xaCk*cNhOhgRsgde8Uly1O8-{3fh4*}eHK>EGs;$B!dkWlpgVj<<%*@WG-
zMhv(*5BU7IA_(riW``s=Iw<NAHP@{dsP8egAhGEMKd_H;8gZoeQO?JR-3|~ofpjuE
zy=5dX@O4>C6h8Y!Ic|4W{;s((u;>QPJ-EXSah$)8jt>k`#J?S<C50Nn>nGf4^06Gy
z85l+2Y#E}&S<jpqd2a|eIOxW@53vEqG3D&fRlg`qUtU_>nl}L9_jMcwA<V$u=X6Ui
zqn{Gn@a=-6mH~|XV0(Mx4+98!Kw#zFUdpqROo=xl^ufLSQIKa29r!C9DL3otq}bYA
zGYD_dgK#6S>)1OQxSJxjS#z|RvVQU}Q;Vz~_}YJZzc#UpZ5*?UJ@c@Na;bFTy-9>F
zTzDp5vgh{}md(N=?@9lTa;tu8DSki)jEoN?aUR^jz)&uuOf(If`;@DdK%(+1D0Q-5
zd<_$?obo$#wH&k3FSO&%)rRVpP>hANf{BS05$;p!v5!BeKm8EY2E9Nd_R)_^n8nA&
z=y>}MOmI^DRNXBtC~4R`eTV7|D=SWat@C>@$!q)k3wMYh`RBav^vMP6JZp7O3EcoT
zqvif7GKdJhKACkPD)ZQyMqQPt(lGYq^R_qpk|rdN7u{Q4o5iM9vx+#{MllnUg<_*X
zO*sFg#;H<j7HiLpb;3nVVE0oN!?#xnaOJV>`^x7tSjvsVi!6FmSZ|fbCgCapj_Adh
zDf`c0T;GPRTIgr6fTo@=P0R!^SMzfWxIKfN(iAf1o}9yMzPt_k@&peDXm}g+CucC^
zi1|#eE?{(&4aOO2Zaw@xmjSnDF>y?@$0%+I6Ibh7&kojrLtecrwmx&1<BhU&^SUco
z?jfm=j#uhX%Q0^zc4r>j=hwF*L$ii;A9;1m?57(1F8Q{qacKclHg+D<n_S1}>_Ws>
z1gYo03*x%Si<mjOMV+{bRZMXQ4>(iv#g##-fUtzk&UD7CEAL=z+%sqCGgZLdVDiBn
zX&K95xW_#H;4gN-<HeDHd1VlHf6mVzw1VXaZ4~Du&;SF&h_{iMGO*B;X^J+lVlqFH
zPJjGM3&ZE?v6u`TjFJ{xz4onRd*+kRyWOS-)3mOCmuYb@%p2}rx4MBj2gG&g>M?>x
z?ZtLypa1usjJ2yxTiBwUXulj6Ggvp|^al1R!a=_dFX-CA6g7Qj?0H$isP{vI#z943
z5}&Ly=J|&ahjwxdE!bh&B1xCGLjipIhFW=QXkdS&7F$g|2UK0E$}V$NfZ0IoE{`M~
z<ciSQb1QR$=!NUW>of8&c;mo&SSmfF-kg*VOyvQEKtY?5+w$;8rk50eF~Zq~)w~@7
z9|Y|x>`~K{hrgeOa31W;aEs1cscDuUXpyg9#cw&#eXKXJM)eB+b8(}hoq|vS8M<<L
zaxkOID~wlThp90}Tm5li7^*d?I)7abO!ag}$#EPolX^JQpPHWr_3znuedOS5id2j}
z4>yFl8d@!;Qn^~q>_Fo!2l6o+O>^Nqusyx-z)?;L8m2{9K2qnXsjR*F&ddiIZ{F?P
zNR);L{_dBIi{-$sI{eL{&-`GxZ=rcuUKZ}YX3jgqBM(>R{wzJeD+n}>dL|Vea!^^?
zqgxm+585Gdp`UIGL&eLOl#Embc-k-L=|@(8VEpiJ{Cg2d_Lxf9y{-g-<F6R<6&1lM
zXRA$^Rvh|u=uS>XDuaLSUL!LbB@mfr3eUPC30qZOPck2=LWtCYT;fL@>~A-xUE-Do
z=Eo(saqrb3VzMgO-CG45x;(0MLS*3EkGaXwvv^>!4Bt`@Q3K@RM!Pa63jvqXR+}#o
z;6<Be|KO+wEG#rQwp@~ju@8wBuP##kvZVa#H&+5QmNsk9GAM$nz$plHBf@3|y-DM`
zCV<1@ebq!IFyOE0dLpF-)+2|EZhq5(L%5HUTC&P8mC|FY@rinUdTr`my$%fdgfAOW
z{{#6Sm)E;FwShxEc;0tK52Sz1&-5^;fsfY9g(7in5ZpXA``y?OTBYr(PLtF@=Cyal
zLXQ?$efl%;Ezua<&ZKmeT5CW~!e|-jXhG^RUN`3%jOrmto>44#zy#Lw!*z&I(k7@G
zz)ymnOE2HenB$?gr_8Cap8z|1*6sgL`(x^Uudys=Jh&y4o=hj=K{l@A?&@DMNMv(o
zFB((5C-zIzMv^M%HD%3w{cH+DDK_ige>C9f<0Us-uoBpAE#5tenL)v|<#;9<4Y*EM
zak3jP2V<8Kzgs*ugS*0cKX_}@;Ir;}Y~73`yzzLSaiP!*oVpwNy-2Fibhhhl?JpsC
zSiH!#{Mrmw7sAvJ#3+M7<JUyDaBfH;ir&!)FaygP7ptIjCD^gocPgj)zW0Bu>Qf?S
zV7tlZ^x~NU2!~D`-xXQJo+i((@#dLAVtAL|@Etj58+OT*h$y9mi`+Z5Pt_FIw^wdb
zLS>--``@ECmlh}{NfOR_FUT-RJWD(1Cj}jM2%TG_I}{0~Z&AQU1_y~A+|5NXXeu0k
zuDD5uexA}^zZFFSRs7m;32`sH$`MbyYQcnBm0uRnuK_TX>FhY<3&6LMs~`Ozv7qBx
z*Tu7a0eE-<zx8?Zg7SXp^brm=#QdMDu~9n)4j=3&oK2j-p`+Qk?++Uixf#|w+hqdg
zX;`?A6)Vt@>S@;Zv!jESl%kJg#xN_ybY{k!0p!CT1dJbLN5UivM>`s0sAi0{5RCYT
zosqgLtw&@>2cm`b)D(?iEIu`_z<C|>8w}*A9cM!YpR3Z6oDG3Co;AmvZ2{ZbZ^_<%
ziw*79=diDSYyjtyOfM(XjAH7I_En{dY-p>Q@cd7YKHNN1=r^F(jLGhQH&@ukipcgp
zQciOEz<uiw;<G8Cw7=50e;|$(xgIGeo(R>0*$k=<2>qbg9e((n?-(oUP<?E3y;B!z
z#YbK+{~e<QzUz$|uwzAoTIsun+PW~5{aZce#SDcl)KJfndVif_`?^M&4*Xpe$(U<e
zq}ap~yj9{^(V0dLdro#8_#vybt4+H~adj~?3!G*}ZAp$rDG}Q6F=x0;b!VOOl_pdO
zonu4p+^ID$*R{YoUPq|AVT%H*;kQonv!j<PqIbE2wZKeP+EMHBF6H&T%9Z;Q?C8cd
z*NcstM6f%r^hlkR29<ETU+^5=gCwWque9ADLULk^hm`{@ilp;7%)W;crG1YcSKuLn
z(3XZyP9hzmoqU%%c$^D~)L&5_d8r9qdB-!+5Iu^ET~ozf<VKHe7J_6<G{M5)wsx^5
zBU-r(Pj1=qpbxhzv;+nSV4;7GHS!@78q_cE-vC|&hx6^%u2b_VZ5Zp?Wkz8E>kzY_
z4^d)uB6-xP=L>Oe4iT)V)1v6dz7T$tu58U-Gl&P8FQ&rh1=vx2M#jacG6BS+ztbC$
zgomJ~5;x*%_n`5?ha5hVLg=W~p4x9m@UWhBc4Iw(6B(QLKQ_-4Ml;OTwj?P$@G+PS
zu9CP>r^tyz2TetgW`ae51vMw5r$U;{ZFx{_`(|_jlNg%g)GB?Lq5-Ex2k$JN;YHzJ
z-2{%!h$E#A$9SjH8nDr0T7N!;4=q`pn%Z5FMBxV4C%dgQAWQKQNobfKL0B2thg%xC
z6Pd))slD&%<o8u25JYuN(IVe;WzhYurOUUEYXEPe5r6(?A@t^z;u#KqSwx~-Y_Chz
zfN2;1tstwtsGsK?MWa{_)x^$he&5!BZOm<OWl01zNEA0laVj8xNyV=QBs@G?BYz-%
z7DM$Be9w~n6%orUeY4$DJVY;LG2|skp!8cF%xpiEP{mqUlrlR3+(r+_@S01Zohw~t
z$E}soBnySo@`Sqo$oBuf+DM}y!A+*IA{C^2k+hG`NE03>Pgak($RPITk4RyA)sPS8
zFV~y@G=Z6~#LJBO+`M+DT~g1fqp8{IV@AV7klEL>A`~ZwP(8`X<%I^)K2`KHX;=%M
ztzA3P{8}DWE)6W2xZu&DW2~NRG&(>!7&y&AQ9!M~jcAwa@aU<lnsBFqE)3%N!YW!6
z5n0Qlh(?Hjw*LilR^0$eK(@cv16Q|``rK_wXyleJjU^D!!<N-%)^&XlnX5VdvJ8hV
zw#_e-ObCc$p^`)8ydmtImi=0DPZ=fEtJ1~qAt2P6bbx8f2wr?>kojPwf^b_7%{R00
zh{4l_U;MZU?5=p{{jE|#7hctdJ>|ipzttzMGEsX?Ew<uMC#s6R8;zZR@K_y*pN_r7
zdLN+PORvKSRM7=)ljHl|sG_Q;o#rg^Bp})w`ITs>B1FFubuCmGt>)3Pu)ik3g7)B7
zr%4r55k!&!4kaX3s~wZZL58NBm4APHR1mF~$6<(&M~4gEI^K67!;>uCaqNpS$~!z1
zrZFso6qv{Fao#4w?VZAb@je{7>Mw+&x0OOq3gqH*Q^}xYqOdmFp@c|lt@%r-qR44)
znYCmhbq;IcJ^LI*q{>_yw6Q9PHm<0g69^?k%^{Yry{8q>-pfb7(G~NeW1$A2t>$E~
zEbMsW%q@?0ij@r>jdCFMmo`Uw=*VE#^<(zjds$>SA=B{U5Hs3R;+iP>NP@#VrN+{B
zGAO>FC_%7>7Bvsym%liZU?tRSqGCo0J!tL^sBqY#d@I{p>{$ok_MsKPaFR&SROHCy
z&=N&7<Hni0@c_9``>ZVE#Zah4c)gy;ABwEo#g!ptfHJ{5HD^RcP@9PdELjgzuDHPB
zk7#P&Opn>ls24&?Pv;)|`uUymEjIVv*FqCejJ3(KeJ+3!X1n)JB{xupL^c1K{5FQ;
zI$W%-nS97Km$^*M3sLg#I35oYH-`Ha;We?%Jc#K^Wa{J6&y>sUA)i#8jUY2ODmG1y
z8#TW4nyPE~OraI3G3ZS)gz}Wyi+Z*kXuoT&Wt9MhV$!~s{X@S2#0@SI=F`}az?D%a
zX8Kx+!uu0~-xLhsvO%3|h%pPg5`uTAe%(Te8}J$B3)TnzdiI!;@=VAwNL#Ttq>Hlr
zr?)z+K@ak_vybgKFd#w46V5n;K1!cax<ntfZysS6Y4k6pL)%t^;r#kTlrZwGAod$n
z?(7k3-S(hG`~fl9de=uOq%;1Xevjz@aWF26)_?}_slT-In4X}dUB2sJy-x?Uws#-e
z-1$q9EmPVy4ERIkM#*`OVr@9Fv#%n5Yll*AU~E&!HAmSFc%8zpqz#Iy(o<i{w<%XV
zn530Q7bw@d@;FRWwctvk`Q3r0Es7SMcaCr466IMZNBuQ^Eod_{ZDNzzq9mJW@pxCQ
zPzXX-AC){L0)O!$t77pcWe7`onBA~Od6b2l@8>2$Ul9Xq>zz%?Ig!0%M}BWmJ_YFz
z1`{;FYksiwSmGun;ESmiUTmB4h2wBkp_nG9Zf?g<_iR$e=%OsV&hJtT)vt=UWfPzj
z9?+WDZBc&x?O@LM^^fvpzxvg7T>^9-P^xNJ*`kE4Zd$Jx(xP<t<v*g0czEqnXqMN!
zO_6P45B`}(hpe&Y3DXmJ@SAptPwm;E<ZTtS1PC)AV`J|24_g|LeIUJWp7$?B6=}8g
zykkU!p;H$}^faJ9U#jlGwSN@PpAN@Po?=FK={_?%MXJL=;hU}74{6ZVIHRALMyyCb
z@2#3!iy8!`2_z?9p+(V(vY4wOJF+(%891z<2AV{EymvGmdiBbq;{GWPbX?YtrTUgC
z*xs2;+0CIx1|MZYua<G4su|fnqh%E+6!WB2o@YSJtoX03vOH*M&zp)!YG0_S5iVhL
zVnT)UXNC^O@S;)2pE~~2%5WfruXk#Q8P)&kUC?9XM?V7kQ>4R`q2r3Jq#xBwJd7vv
z7+(t@PvOR{0YPOrdNa7l=R7-Nddbmm;Uk2kdwR6ht8s8M2UDE7#DO;GU88Ot+KWa_
zGEK*?;ecPpc3B~h3*Cu%+iZMB6ouDV-oqWlL5z^-0GXW!by?FIetap8Zca+Tb$uK>
zf0lT;!i^Wv7mKR<F-xI>?N?HR)bl@sd?(5Ed}#hb>iy@A(rBE|1#+Blz&hJpaOJQ7
z;))v3a{MfVEYA=4G(W~cx_n*C7OfBpOsrq>)09K?E~PaUt2pQmu$AL#6GjDlPuc6#
z$fL-^I~T5ASB4+-D)xm)1m(UH6K6iBi2jTCN_=Rf0v`f+{Z4d=A&G*b_wsT$6f#J^
ze_2%(G+qwY|6-Fw;&}&4se43TA!Y7s&T4RJK1MX^gB03e*Nqn_RYmE47~as=sl$_{
zHyzllG@5)tV`Unrj(lrr^<SCbA-LK6PPvXOVwNj0T2{g%?*dciEFeJdnr)*xm7DLT
z?ZS*{3Fvc5@W%afnlR&|U;Sl59;LTUh0@g#P*7G5n;#-V@4mCy?q-UJPUXa>tN=|U
zuHJpB&O{p=1vRW&)07aS6`k#W>zc?a)bqFmH3#PWYSZsd<Iol3y>tY7A{wJ47u|ZJ
z2W-1S(^GOP=(ptlv4RUkG;k@zXWu;oxUw59;!Ne5RrOiP9y=mxa{G9!A;JipKDOhU
ziE3zVZ11D+2~Fghz<Bj_pb22{Ev<)F)sTS{nxSZGBEikY@sFwi2^rVdYs1x1495-T
z??wdlvu(FnkB0>1cSPtTDC$V0lTO^97LSS>v&2gVNzm7KFh!_T9r^cloj5J3hS(Ax
zSx?_1L%OznG_9{X8W2fZoFBxYQGq!>>Aj}Vb$Vr_r9%y!A^X16yr6)>zo+c&x?&0g
zWcwMDWmWWcy~4A2S_Wx}7wAq<dmn>#Pup^*3W|2$5+W^1pvq#zkkn`j+jckn$FC}*
zKS$@@B%TyTH**7xaiyl9gfmEfy{&{K4T8cdso!Y;B{<kA&J+w1><g2f6;Xrjv-+4t
zR`fpr0096043~E})qfPn?M>#jW#5ZyTzh|y6>TGwQK}yqMKT&fL{_D&$jGcHgf#K}
zP-H~e5we9s_6WcJJ%7B<dCv2G&ii$4P1=5YZe#)>XR9kn*)qt4_qObp6e>i+I)*Ke
z8G|?9i6Xf{DMS!Cl%I6!55A<RI9Phw7$l!P6*(a&iJ0p4yraI=j@LygHZ@Qi1C@}R
zHK(&U3O}q9S5Ny5b9X8;KX%Iq64Y#q4Nr<90@3oCp~x?6u8Lfm#$*J_dqO>u<b;s_
zbI}lezGdv&s(dw59Dtbc`=lBvesn-PZAR<dI`$&#Z=2H|fQzA=iSMm=QI6Lx)LLy}
zLfgHA0g4!0xXONO|0^yOSX`kmC$f!+i@m5QFfjz1WD}pnd=BJ#*@^uv{SMabN&9&7
zv;lnPJ!@%vfCX*;DZD6bwu6;~)_r{ztq);aSs>}afJ}n!Yz8y!V6is3QjcEiLG!kr
zAj=mTw5q`$A{Dre(QftQ(Q~@+;(I}?wb?GNlq`E#t@tm-=@D8>t*8sUB&NFQ^bK5Y
zes_OP!xm<dc5my!B^_vQzMZv`u#EStzq-TUvxyz_(m(L6MjJe{4(VMLUcfah`cUW0
z1~$`VJ8+Ck8ypTW9PB&v6aUqe^6nz%1}1xLBKN6>7R1iFv(_IN!S&B~YNs7t$D#=T
zbzJ$R3Cu51zoC2&zSO}*$}3sJSW5MX0rHyQG-}{kX5N7N$4iCqs;*&zg}mPO2^v6U
z>MutvmW*c!T@T?IT*Ve59ScWy)WIUo^#kW<HKy6npY^e96&neBx@Xi!9ZnpBm!zgP
z?BuquQ|iAujo~O0X+jNte!TmRKeY!_>UK7c`=^s}E&=YGR0Ao}hm3fQL2QHOt-gci
z8U`}{ee>T{L1$9!sb0wlrY&GDRa~`(8B*Q-r0T2+Aw`rE4N2qJ(ukg_j_*2V%_L-P
zFiL@yyS8n29jCA(dGt#I$2KtHUYn{-PYR^s$seC_%wSKy9vy$>zKMMwv*U4CQ-R#Z
z^2&p6e_^j;nyIu)wlK1X-rgfoDqtJhKpt?N$F6^45l|y;WAOtE0j)wR@Tp0eUSQ83
zj2yuFak_g4JJR&*WWiZwU{4m;>IhiG-f(b!jXOyNOXeK`Z&Q^(m^`y5cXkPLhU*eL
zKGg7p-m+|{OA-78-&ZXAuV90E6N;)iG(b@9@F5B)LQ74CqB3C(Q*ikuaAKJjoX$PD
zQGSLDyTTIP)t&1YgZ57Qq8B~5SpDTKeyIQ>c;tp;`6l-4+V0nO7DfmS^%t|{P=E@b
z)7^Bh{$k_t@2`k;F~K_>JMv#2dC-_*{iHj-gE5|sSvb+c0urBEzO(ep!Q4@|AHTAx
zK(EbB-es8$+#H3L=nl(4zs1jyy))DxZuIwwyUiYu@mn#z+e89|fh&sfmbAd@U0EK!
z$_X@#J6;zpNuaWrP-E0f2deU`xA&aohEEI$Pjg0zFrt!SeKCvy#Hum|R{!w84bQaq
zhr)<p<$R|g%9;rb2l*ye3i!ZuZd9^gkqBOibc>`TEMOS;+j%66AIjtQ6>Lt+LThX!
zKj{h^h~y2-r$h_F&BSi=ir2Ex+q9B;tBV6RqMyb5tP+O&%tu+CX|lj2sH$FB!3pgg
zr{080h(VLmJ&U#bvhbv2BRNWl8_KRUx;i?EL&WY!a%sLS+zZ!{`<BfE{(N_nRqG@`
zDunTUV7Dy%)rekuX~73mX<4hS#!{fwI=R+HB0|fu!a4&lKj^*q*gzbThLQ(K0mFGj
zsARkw5I`pgTfc(G0up6mVBYZhjYA}`S=)UB!opB2$eugpLIS;3pIEZozdg5xT;@I@
z3UZ!HTJ|RL@JPmhehuW|*@9?kUG-i#?((~RUV{t{qSj$2(-lC0!%UD#S^_#~)rVUs
zN|1Y1{~aSJ!jO_=+T&}IaQ1Y8V-rCI3O}6;wbE1uhT;3aZwyPpjSr7M-Q%EuY-hH(
zbDauY7iO3=wU&VsSz5bK*D0_cX})C=PzCbtlQRx2vM}|Kuy3nH6&&<v&*)~VL2~-d
z^7m#Wh%w_R<O@-QO2<<*Tvi(J<CkOg&|5i}Jg3ifhgKbY(}YsRRkVQVGH=;iF$K6J
zE;UkMsSdGycjx=mbl~{e*oSi-WVn{J;%x4q4q0?$4JB(maLku@LA<93<(eD>Wqx%K
zo@+aBE!Y6~k0vV=Mk)cT@Zw+7Ff~veARhglj{)7G*GznvGMt*(ck_FSDoCqGbyxQT
zJj~;(v?^ByJDzy`R7VOJ9HojaZZ(3A0};YkdzE1c35Z3ODZ{~e!SeYWWANC$B2!$b
z3@^-veN%PFFi&v(_Ufn!3?JnSD<&#KP~#grNq-V}(BuvzwwnOaat64MDM1Z0f7Vuv
zGz?DqS^SkYh4fDUDlrX3=&(I?c_L37wk26w+zyxmDYK$MtxEy46Bde<TLmHCH*V^$
zsVRin2{3Q!%ftDTfxIz4xZ&qzk&+ETQ#h*fXOH`J5@@T?8-K832EKLj%D@*B*wZ;D
z(ey|b0^&oTdeCoUeAO}BnHNmp?j`yQV-?ackbdx8?yU(7rIzkn-!O(40rdvUkCG5!
z-%RTI@fD9KnY3NMW(-$^ssy;civ!M7oc^A;fCu|~@;qNLg6d0$te;ScL7ge(p24XN
zT=H+v_#ST~I4FDQ$9I1ra1ys;tQMm}(-&@h7MKDMVPEF?Da;R#`1z9O@6#YB&XKgP
zGXS$j#>uT)JTMvhBJ8IY9qLK>nog|8fXCC>sGpw;>?^C>?e*wUTeD7!T$>?8v-)qD
zjIu#|$l+@fwe%=j?_jt6hykom9rT`NX98kD{>IoWJvu@YbK}#FK6rLMSWhgW1*FfB
z=hH=xYOe%LsmSVspm~vF(DhwxM{<j;?>;@s;eR&5XRimk5&RS$uXXG$g;1cZNso4R
z1GtCo>4INjZbXd0BGxI0JAL~?hbr7Q`=&c|pkvR>L)EFDSW&HNuY@NZ>ahA@mnEVD
zkwv%p7K;Y4X!5bWZR~WYF6{lO^B1%sLTk?|x9ca2a4d!GZY?e1`}mTo>!TKo_qhvI
zT`t4_yyGWah^0loE7qm1l3L)Rc`YZbp#x_=U-nJ$JS`G$&L-4FY65T8RMmqIKkzf3
zHQiD@Xpz8Kagnq+4VbTT8|rD8z?V0hyWU68A~H2s+*2nF(8hf~WRhobp~382X`B{a
zGzltx_eC8Zo8Qwc<6FSlcsQ>y3(=t$VS2my=IXHZh30+j`9)l*x47OXg$~6%kKi@`
zs0OLk6=iJ&%edcA?#cZc^ys-hb8U>78rYPYdz@%q#ivgf2HswyM;ByHN1pt54|-4h
zcbz=8j(=#Sezk9i0i{{enc}vpkh0-L@mt@-=R7i<pU*HN??`=vl5q+Ijf5z+b8X`Z
z1LFMBV$6thfyzqr3I&dx^c=dXxr?)HGOiuH#)4MqD7U;gDezgj_kP|hD)jsILrz|5
zHspaSd%cQPpn2Hq{J9}&6qj1t^YA4*`rPNb-{q(Zv_AWL^*tXg`gU09l>LJ}sK4x6
z{NG>7u$S3><HIRBL^Frp(e!X4H17I>d!I7YFvUK}!s$`Qhs)WWn_S3YI!3FgND18H
zEPFh(8PUOR2S%jFgVtI^UE+n6ATwH8@jxpR3JQDF7Wt4D{aR)kc$20G_AFi9-eD}L
zPa!XSU4VcJ<lRJ$$ST4)nvgo4<80_Rk0a~)8-7%BK>5FtIx=J&^3DxA#(|iNntIM&
z7ew+^G#OVel7VL_G=$!O6O}(WoW$%Zj3i_yS`sN_;9$=krE%jzmb5$n-Srnm(>j{;
z+Dv3fJmhOW{FoaJv^%O>J>QGgb-i5HRuv%We3g<8H7~Lt-EzrgkU(qQ8$k_JWN3X&
zJ$pZp4^6fl9sY4p65Y@|luau~hG7~i4GSiIWYch@KD$5)?Pd-f4DusGNWh2Hkk<mJ
z?bG2^ULG05+0J*-eVhz;IQCtqixfhRCk+bA5@Zq6`8Xc$8;THlyV+FLR|M7gTzI!D
zK|<fCo!z1iDM3rN?)Um2F=R28q4!_49AZ|EDV#a14C^Ux^!lvCk;SBV=)@@nM4$iL
z@wcf8IBJk40{kS<;`8G*3p9$T(Uso0jD`XadTF2X<wzoNRmW-BEG0xXHCqh&$9rt7
zzWyh^Nukz?9M()86(oCpLuYqF6=?HXpD+<*kZOJVp5;arw5Bt)D!`%sj~h%g*KB3c
zw+ylOobD84=crI|%|Qd)sE(7?5{O9Fm7AhDO+iL%o@ED{G=c9<XmUpb37I9P+U_@1
zMQr=p>f7wJ!DXn__RNeNvi-L6)Y4ZK-BmhUE3~ZxbjQZH-mb_awD5LV$U_yy+b37A
zRp`O2+G7EqVFhHzud75YtBSNm1(KI98o(s`zHGK!G77z{JzAPiLFsqHkAEa$;Cb`)
zk-MsjXvQ~lqGwzMU1hYB3vdNkb|uAa#3~{yeT`~^PG$5avhskPtPzZk6{Ic{D59HA
z)poc16p^ak%y+@BMsUe>fJyC!BEp-Wc?Z?VqtIlXJbPzj(3nxsUlUM75=!0GY^_AJ
zkMHFTVzV*G9y-p&afyru&gZ_|ekYBb=gUhk@tS~m(r>Efcm?$JTvN`4d<k@pp_hhD
z-vpY)C7YgKkw>guN&DvZiK3}khl6*FO<>cob9+i%4pq(4Sl`OvM{f3y8R!&DAnRno
zcHO^zMJ4?*54^aM^1;0B(0@5qb>lm}c}Nx|JQq+6NoGYA$7ZBb%Z)*Bj?ko7C5<wl
zs*l>n(W2{nYR0!5jN!pOhQ!m-|NJVM5;=8s1Gl>|VIZ((1WGKE(NFJ4pbvz6=bYeQ
zc=pQWj_<KXaHLFNrgM8QYAYR%Sefj?cPxZdQUs0Q4(|K%{+0-mW>YEVo2|keM+NHV
z3IMtl&PZE`3ZZspe#RQl0ql`T?$j>|!1Xw94r>p7bi8IRqPKSf%MhWd;|;-pW-~!}
zVvH9ZSmKnqN;`|~(6WvvXBa|#f=RklJU8-AnwdDPIETsjb6hDz2LE_)@niIPP9$01
zmAY0vk6BQZM%ZWdK}sggXMKeY`JEE=Gh<r71Z|{03W?}Lf#;0xlS|Af_6_$`+@*P}
z(b#%&*hUY^pSq0B9$-MF{I|a6OV44EMUKCX6Ldkw<C#~|Ra!(?+w^L5{DlR^9c^Ij
z)dAC-!3Uq$sSq;$xG&0h277z=N!^r$4p4Mz?zTm2<NSQMoZsdY_O*5}BKeXwyfUWt
zR?FVN)oxB2U(TGss`dNu4~<$dka7I4mDVaQ##!FVkBwpOAL$;Gq_u#M*|^PbxP-qE
zNqKSq_b_(IdFO3tgeD}WopoX?T)^FuXd6ph2eI_iw6U?%8c??C(q7#E3%}8EJEljz
z4<lWvea~s50qPIrKeN$H<B}Fx7OJY<*z$~Q*$<=+5#>LX+AAmU7v?XYNQJgzp9FZ<
zn^e`I$z@XQ;KV4-d|-Hgsnloez=78VkDsc+Gi-3(J8T%=Q}H;M^0gj|;9V@UlvD!_
zeJG9H7{FsSHTs6va4aXq@8si0s<64ZNL7;3hl@;5U$D}t#Ks$KN~6V9At>-yC$YW<
zXE~C0oaNzTjG94htv{avJSE+}zL&aiaL;KLYq^0b<t7D&lPT~#qq))TZU^oVo+q2U
zkcMkoO|ZGWR)K7?BQGawJN|Mks&hf47{50~zj47#1^Sxov-;nB!8L+<lB~5~;kTo?
zjxZK0!!nb1Z}dVd{x*SehbE~S4|i|llIm6hr_(>TC!T%Ae_9PD<vQ2ln+{G3^t4Jq
z#m#d&YM=%8y2EUfK30$ajp;Fn)>MSsg1$lb0$cEc{R{FG_a>a>{EyE!eaNsf-u~wN
z#TK08DP!Wj_8FJ2zu(<itN;ne!yA+8T5u-KKHBsnUvW)-iSc89<e@s)?bL~LpK(TE
zE%#E@4%~QUtaV&R9#mr}nXepL@vi}o8m1Jx@DY#cXJ?}1K$bvrOX*=7ZuwKx$#P#0
zPE<(hFX<xzXBmyWE%#R(`|lW&c=$Km?H>J3kqQYOKQR=gY=6Z=tlQ7GO!ed6T|HTK
zZxf+rK0L#fqXYLXpEec@8N@H>-LQvWve1(mY-48LiA!^Gt_#Z!;~HXfMR}I8z__cH
z{JO9U54`w9d*=BFuH|IoeDJLd*j~MVK})*_U&&NHon}9V+dVh9A}%Wfx;^nK-7CE~
z8)<4IPksUyZ@NFm{y-WEpKb=|PWIuK*{<=<%1_};_Z>2+*rb6%xOC+O`v9(9A#l3h
zc^aSE^x2(?kb>bi^W7xhAzWDga>$;hSzN_thwl}&6bS5oaFmW4#!VHDJU8&0!$a1K
zSzN*;;hDfw&G*!!_{@)?h}UHcc$G9;;Shr)1j{irEk7E=YZE@3)><y&T4;(|IbH&0
zqZNM+c}(E4(W9dT;bnY8ra;|BSOU;}5p}x%rtmAYKWAh4R&kdy*>g6}#9@c2_TZJo
zX`ICGrx0Maj$dCGTs6eRL9})|Vq$w1x50ueYF}*PXU#W%IF{^%XmxwtjKVp*E7Kx;
z$9WsCoH<$<IVlE3OLIf*Z3{R}6OXaBJQccdnPuz*Q4Bo1w}K}xF5-QKOb<ERs8PCj
zTDh&SC<r}WJ9ida#yw|w^ER?*Q5MVetZ=;uIMGvf1+i89{WzY{pF@x0UDc_Ar9>cU
zf$VTPU>)z?KSdB4U_>IfY?;FD2t&uExB|(aoA_-Nn}NqREU0kboee)aVTkM*{xgxe
zjdy;zUA@b}jxr_eB9~)?;D~s8-24$LRA!z2EQ5s;d7nTE4B|r2zdwtAdyN|5%C{`2
zUUQ+Vhu#Shn*<?S)!xUijTSw^Iaog5<3ab3W29%aAgIMgR&w^zqs(j)@mvNUYWP7T
zmwH+djt`13{3S3U>x*5^{zLpIrYP^F)d@k6+25d1pU8rWXHGLBM<K*w?pA6TAP7uk
zO>Gw&c9dxSw_Hk46rH4P$FM3v7?{4jmtBby9Y_(WDP|W(W>Ky+1)4%|KAcEp($9rz
zXQ`$CtB^qNORgye&Iv(sr1p4m84ucEv-G<iDuveFx6TyK3&U{A-l+W7d?>u&x4(y<
z45EL~9Oh#o3Vmd1g6%v%I$_Om^F%xm>3T$ldou5ZTfcoL6aUTEwQdgH9dd{yl6`R|
zR~(wKCw8ejB1rA3h~Q5hGU71kb*p8T1nXSw`MkcpD4lZXULsOL?y13ttm~zKobAqU
z5h#J|PlYklm#QGb&tUzeQ5jGu)3wVMl0tHun`h@~RMGv$vg}505=@?FrVH+sM#>Ln
z^<8b$&{|;#DJD<>&Yj}B*Zx!%RTmjv{hOqY9Gf=2o~BcV5@OYKNHhrznIFDy_f`X0
zSSUC6$5Vj$xBSbs3-ZXGTO{1LR1-aqe_O6HrUtj#pAYODCZlsrCgCT}YN3KZa}Q~+
zY64Nf@N$}v5{jZ3j5e&*Li-Jt7i;$Ez*C3*K+6xxh}v1gGPzO<X=Vy~`RnNe#{p~g
zxrZvqq_kfuLq!W2k?-9##xMw^{L08zrl8sG>+u9RO@w7nQzV6qAoNUw)yEVHdX;T#
zu#%<zj}PZh`&>7M@TvaY{6-40N@KXRlc9<%{BlN~RGNUI`DdRgoPzwnr?j+at03h=
zwG5lDOyP%1{<z9D3St%bOrI{HfEsV+c03C(1IcZ(#yjgODDTwKdb#^D=$N3~xu{=e
za7;_c>@22&nq1O3y_m!i3yuEnVUc~{WgQ$m_Dl)&$Mi7R#q%L*%f>UJtoxugT(_Pv
zj*KckR(&DUG9g!uUMkuTX3!VVAoxo~9(|TR<0fkK8~<~;B1PWP3}hhDEUKJ{&exn<
z;@O(PA}?n$h~TCW(d2k3NJ<7hwjGQi$kV`7nVEo-u<1WOq5Hj+B#Fv`TJ>*>vclNZ
zpk|V{33MA&Qz(4mh&w%fNNIr+*sOFd^pG*6UvmAA_oOh=9(=#!d6ow%!xI{_`HVp`
zbaAt)i-2xfn~pc|@WDQNtqrwHM&L@XntCgh8&Ro?r4Z!_uzAHXe4-a157SthbY@32
z#C&G976QcIb|{WB2e@%5Lg<bf1Bwzk6Zo2s|6lIj?+FaY;9{_(NZ6@eoU!`P(q3tP
zSoajTE*@hD+&v}COsPw_uNv#cqpbWOa&*o2V~zo2hV`%~ZH?e*#+@>MzY{>Q|FX!p
zW_@rO9T`4XlZ{ml+XkuT5#SGQ?%hbE50Q$a&AI}k*hXSC$EGI%q`uRA60p#N{<P-p
zl#&I^yypA!8C?Q=xX8cZm!=EJP2-k_qSi3!uAj}%1qd*fYO!9iq62U0>yF2jZe#cT
zPjI+05ulP0Js5M;fx_!Xo{f*Fq4UCsHyb+v_{^?1>bGbENkCP9FOd$81%I=8O(KAo
z{eSc_CfXomkRW&E3IlZ0braj12*6ozl0oi+7A#rfWiK<C;P=_v(>g^2NIIh7v3@`c
zejKW~`tuPBl#B+3-Qwbh_U^Wqr~5Ub{PzBK=O{K{yXw&UH-R7Al41IYuO>(_m9u3z
za=^0B+EAsE0O;2im(=ai1R<4qjv6jbkZRmTPsRmc>Gm1%o=OckB10hDTjT^S_mtJ*
zmx6FrkYDEYSq&K8c#*=~$ps46EVgcE2|-F@oxu}94VcKh(w|?+4cx+&9E&-^ki}h7
zy4kA^{9gx)QZjhp&B`w)pBfQ(J@H_c|B*TzqM~K$h~b5Y{(;T@OQLYi`!~mBA9c87
zF<HzK$_GaRf8I5Ny%5*K=9IHv9hQe*YrhI6z~Pw9Q!7^D5USY{tfHh28}DdqS)=%&
ziu&*6`y3LmX_DyPDyj}GdTU>(GXy}@)g_wPEde28=kk;U)gkxpO45O9L6AC3>tB*D
z2`kE<tN0|;q07qJ>d34R4A2cW_6A9T?rECBgPQ8#&CakZB`X4FEco4NPe?<^FOj<R
z6YB6HUE^@{1yQ&t8Y8KuD+6ewPP{cv9fpG>6*`d^e3bFz+!c`p<~E$^VXHdOR9_bl
z+#?QDTSFyrJF-x?Kao<fR|9PJoblWHK^%HBd<AZPCqm@O&d=w=H9(4<Pu2dK1dwwy
z*0^7gAT4LXR&P}U<~u*t)vHOu$T26jKbPfzCU4e{5TptBv?jb7eoMl4D_;wDC3#pM
z<BNLEsRhN49^7$#ECt<)KO8T%$wM}+&WO<~EoicB?>X%#4X;UM7VXvwpedS1c;u-K
zhyOe3Okt4$L6xW)n^y`j?|Q<FhO7e#jIKVcFJ$0Le}4b=k^-!I=S1_Z>p+;RSpC|5
zSr8!vA9P?OgWcMrwO=i|p#3HG<XD$1=myWs)&EiesyEB-9Qk@cKJ#Jl-C-gW<eg@z
z$x(ooK!u`+>-rE7Nr;OnBf=ksclU`h3V=*m26rqC;Owy9jr46I<f<9dMqQQ%^C+kN
zTOx*Vr>N*lwlWE{n)6e|)8*iT%hu7Y?}otYX0hC6MgnPiG3Cuf67ZfakFScsV3J3<
zVB3%c7WRQQ@6QoIrt}-V4i|vT4u@Wq5D5m278kulWg#essxin4fYbGiyK^5AQp6MT
z2-VWy$2GoiJp$lC>iEc75D~P0E1$DJDg}S%+UueU0i5`*zI3D`f-9Nn!svhm=*k()
zok9TB_r6oM{bk|cjR%5zyv0F9D#%8^2|#t+_FV5*8TeD0-8s%H2ArI>Lhn8TtoZ)<
zVj(O8`%9ioOZW<dYy1zv<_dt=mWIQ>?WLjS#UQ`KmH=!FOzk{;0C4DYy8D$_DNy+M
zL;UP}0$4i8Jqh;(5Fd5(On4;;#^Q3p7hdr~;=Tu+KaByr(?%`d{g8lM#pQCXd2Yz6
zHvg#34luV*`HLd61c=z)+dApS1ykLbHo<uqAnxgrUJY?@=kiTMLY#22GRHqw3IpvY
zCoAH<iUF&`5!YHC4(O^7^l$t3N59;E>AtC%C|og|`;hL!2Fl9BG2k+Ut+l>Mk5*wQ
zda)0!@~}cWMYtv*+yIsoVuD+}gup%1@QjEI3#4Y4G*cG!!Tqs?^nFP|u=DMy(u!jS
zCt}&%Bd7IYG{nqZdx;<BbAP<5G++iSF1=>#s~)JI_e-oABEYR=xyy0t%rHKlq*P<1
z2VoU^Z|6+#LG6>~IahaP@Vz)u8u3yWhOqiD7A8JerQN#J(7_CJUf<8*a=LJG_ibjY
z87~xdcv*3JvjBuixew*&KvCLh<y%=ipy$`H605-qgB4FNVxl_m^Pw$u0T&P4JiqbQ
zQHBjFwrB=aGqmA-k49-o7B}2Htu=pDmmS__EH~_mX~WUy9!vJ7+z{VZBlYMK2b3?)
z$4wPzfk?K?rVkA_WLt<SXnfuSyguxuB#IVHq@L|%`o;zOjTml7<Z;3yg%LaIT1`mZ
zcLekP$OV=M?`4oLa)G9J%=t1~P52)G0RR6CmuEcJT^xq(z4zXG^S9UUHj7j?DWW7I
zc|=($N>a%v*`q=VsVEd76r!Rbl_a8)?7g1<+w<ak&gXN^xv%RU51GBc`hpV``~R2_
zJGro<g*GZ?N(U{{H?@R^IB|pT9?KO&ZoFON_9(xi1Jga;oenHqSc-A?3)km??Dxu!
zWReb&2&+!rU0gWz$-es7HeNVgG8l^frVYMXM}f#<E|4C+y}<0xhm9zkv;8UBpv-Ly
zA7tZ3`Ws=-;T(Qwv8HvgZr8?><?nBdlerN&TyWvScL7AIDm!M;Ya>CJqdZQW2N`mj
zR+kKfU~1wNzxkSkU1i=^i`#iHu_EcZr&JiBx*HEZ7Ld@y{^8Q?)4YgStD!KE7e)IE
z9{!gnNf0@s=a;&Z56eGNHgy`r@MCVD|9KA*oUd{G_EG1DAB!$qqLu`9F!iu}-9`fQ
zQN9vxSpgV`EEFemNFso>|4t!D5WFhqaY0QGv4_e|=PyZO(dfUAwN@lJ`CWM(ze5NO
zDW4Mu#-z}~aixOaorF54BI@jDVc1hxNiz*f<4eWZ*pmnnSVj$>%RUpqTG@1G@+TS0
z23o5Zm64D?EqPU+OAH3gafvqlvItW2H*WbwLT85HzH=wUQE>dSSI$Q{Y$S*JFc@m%
zM)0firC}0CZ;Tk<{!Sj=!Y^QvuZ^MezKKfOlCW?xn>o{|0IuWb!nwG0P^+j^eP~${
z`l6a{Z)y}VeW4s5b9KNUF0+x}Bn9EWM7Bbz64FlG&CAl$1zpOa-j+mZOr9;6TXj)}
zy0u2i!cSd@X7A)Wv`Yp;rv|U?qELa&*9J-IQaxmR|DgSxLl)fDy(<eBRPbxdjoIjg
zK8(t0tD0ZQVx)KV=$qdvSmh6>_IEab#c%r$lreI+ZroGOC#s4a7i8`gm>5E4#BF3=
zR35#ByHB)|*H4=3tm~>7A%U_jdA3p>rC|mXQ{yUNbw5orENP6|K9|e;6%;V_p2<cp
zQUy;6KiV~Mo8XMZ?~eCL3V7M_%AdDa84VF~dowmo@aQ?sd)qe(P>YkE5SmfK#iklc
znn6>%6q!3@wWxqOkEedjgNhh1I6VL64gu3XdeOCY1%&3_tm(>8Kpu~W3ZDkR$(oZC
z{zC!%OnMHYTJnfGQQSol3)EijW+*LHK-Hgv^`;fFm}^Pb;b{b(fB8BUWUGLS#g{tW
zxMh$P!E0^v7r4D%vXb^j9z4Y2&yoM6(C#%auf}YKu*H*??&-^e^9RoYZ=VG0D74f^
z1kK=g-Ef{cNe(Jwg)2ExVwlN!)yP6#7ibt>k7$!c+MG$g!%1N%(4W57z-WfC5SAXH
zDH$yC7Sl)E7Qk%<nJcc70Pib0BNJ8`1P@;;ALQW!m6^PFXgi>=XOFU+v^36s8ckkr
z=SH=;vU$^0KqU42+ke_p=zikftNV--vR+BqlY0Qm#j-44Ye~?ijiyDdvm;GB#V%VA
z_?XXob=E@yho|-Gg&0}!u1xuLR2hMnM>vkjO^6}mvLf4LE)%-`>r-*#BOpK@Q*c#N
z6se@AX1Wy&2=PA4!g<;huSLJyu}l`m2QC%)4t09aB?~lXj+&q?;@6iTN+Gx^E}Uo=
zrbEFV=jRFAO%P+bO*<%60O59%QKpAz@ss_mtYU>Rn77<Zej4%PU%O=TZAx0Cy?3rk
z<}e2B(?c8mG<=Xu4-`-xr-7AYd{E*EBa{g=*3?e$V2^L2(H|CCBn}#lH+(aMkm~zw
z7pA!(v%9O9K9Cj?j+al}w=sl!Xqv)27dL_{&6qk?X_3%$BBP_$07=t@w+}dSLAw49
zTjFCnysz=kbyYOL-0z`i=6jqNYD>O#FPk1;nrc4g73gCmQn!^}mJ<ogM(U+S3>YaQ
zwBGUS<LH^XSntOi;9{fPYV2Ud=-)gE<qSRKCf_R+^5H<R8pZ@TnDI~ISbHCz9_))Q
zQ=7?fKrrg{zKn1dl#T4Uyp*SlC*PZ>KW(t1?cLz&<7HO#o2@x?$m`+)XJ%N+cXl|=
z$h}L=W`})Yi0R2%9YkqTztWguM>;$0f9@3=c#;1w(8x{)VkwKqOn5jT!ar(#K9>_2
zbhJku$F$KD(B@HX#evT9a;l{qE<7n^=%75WjiiVRDc3G>fbUit*MH^Qxc&QKV3x8r
zE^mZbX8+_s@p(txcRf4^nm?u*(ocfllf-k^ojBpAe^Z;8nh(MHZ|$d&Na(R@^^5ty
ziD{02b!Iz$RGbzPx@bXyWy6Cor$8=f3XXO@zaxO(CdG%_Xh?9+Y}GU1<wnlysb5T@
zLb$ynb35s^7FfQW`MmcXH;N4>3Jb{`*=~D0F1APu9Q08w^CdiRr0ncs-X@AJv9>Xv
z7%fa{|6DXn=EY8zjf(4=Vz?3dHR#>}EilpW8OJ8^p~-%-^}3$~a%8icY@M}Gd0p;G
zKbdofq-(ll_DJIJHz|3NqZa-p`u#fCB7lMR6y5+=Dcp|^2#)a7LjNNHPM!@x*f>YV
zo$@5}qQN-W<fIm2mcCgP?-YjodVL)GQ5ht>yw&rNe9l_o@~VpuMKBSqp=ozk7JNUh
zpXB(Wg;dUCB_m2=(8*8ff0ZwXC$bxcm*q*&ZmgW&`$!x!H<v|X>*Z0SJ<PB(k%Tnq
zs1Gb<5=imyt<LIGK)ybYi^m!Xjc*5p9AhMrI=nV~aa0j9&LP_p&uPQ)NJ+|=ixl1j
z@vSWXR)Wy=t-3wZI<T7z$m!9NMnaO%{?@O`ctXSZ-(<fI23Jq(<#Wj3ZDXIP=wlUx
zJ<e@<e?u3$fAlm({*}SeBj)cO1*<~%oqE9XX+8Y#(39nFm4(E24X)KqRiu3s=!p!`
z$F5%w-C9!Rplw{361ZOtKYQZDazhLNXMV4v4)Rc}_Gn^HQiFc?F!3<P5OGqk4Bt~I
z;Pwfj-l=dkI90OHE2kPER9*c~COOA1JhH7Vl2ijlakyB1i7~v|81DQhqzFfe*827&
zRUFwtC%63A1Q$a;I~|TuM3|2;|EYT_2(7XZdeLYKJrOo5nnp!LWbQvxlCF%r3#K>E
zR1*+dYaB@(P(&Hug*%f*N(kWdmRi{k1Qmw(TD(<+X~aR+l7|Wy3cAwReFup2F0=P7
zQpDz%VCGIrdBoiLyhX7J<f`=SKVYi}%?104C6X*!OipIf=$j$%O661^nP0Bm${kT|
z(l|n)6iao`3{&ClHC`kIEQ~7z-Heb#sR40+G|CL(f8z`CBII#<)IZ^^wK!Ba58bpr
zV}|4DQw!g2$>DIw@YNe_!l;?Ebnpl>gV!Yz=W@L)+G0J+XQBmAb0zmso4XnESgQTj
zn`H3y<TbhKNM58q<GU25ZieV>wEO9wN`qjxr;2;Q1=Yae=dtAT?|XSwlm5OGJh*2?
ze)@5M*Wh2!%2Qxi?)~lbTaqYn<2X`R%Yv1kGwwga$=BE(CEb-Rfj|CZ%xl(+X!)4f
z#;gRgXEKi@s)!>Ybdt&QI2{z!j#En25YX8#JVvW83T`j&o+3>eBu^-M-eMyVa$bx2
zuZJ+|bHnH#hf%@kM}_X_AyY8Z!(ly35cNZMzci>(V!-k7{%223Ah7Y~%G^9Z+$Y<=
z^*T`C{lPTeJDeu?yy9C`62gaWiCh-j8(YM6hAPvS{>B&$FQ^e^<%P{ponOyQwuriA
zhs}i+BhdP?hdt}!hRE8PA72h^5x%CvF`q?^;QIAg;(<F{xY8V2DzdRf#9f-v{YQSE
zd5WQ$QDvNnY~2w*d5QwfYx$W;Lk5_bW<DwRk^{yyN*}K)P=flWecfLx0|dQ#$ml@B
zfhmhByU}Gz5MsKgt?%pONL@xpTq7IooU^A6{h<PFU^SkI>7z8g*Td~DD|lL$D%w}5
zamHOq-ZxDTzHcI>FLblO^WXQ4J2JE|tSc|r$DoIby*uhJO0r=0X69;E03G^>xXmYL
zbrENL)_A3q8J{dW$G*O#$L}@wTbb0lIMqz@DfD1QnnA$pBLpKNA|{JjFX-SvQtpRy
zhRm3Jcq;tWTP85Z*xDL%>VWc&<Mnw<W|)VZ%A-5Qf?)s8?%NBs!FF`<L0kkgQg)m@
zl4`|<9^;eFo?6;a-RC;N_?{U}a{bOCd>rtcdEIiaiv&+0#f-<UEU-Rt>|wGXCwPMo
zMMV0O@cu>h<k}VsX6KsJY}B~$C`plxmW70`^mEFYZ&)!P`fcA;7j6jesyJBkNDJQg
z20bpdvw@bqO{gW62R`oGTpA8(!AQuIN%RLhigf;+Qy=EVMtgGlQxS3wa}^yNOXomM
zo@1Zkc78OBk7dh!(FDz4oJiSrPSBoC$RfQIfZ(^*-fK5Bv2F0$yEZN^SU&Ch?XX`6
zgZ(Vk)ghX&zx}xT*$fw0ojf0uaEd^0t9W|5jV7*m2=PddaigF8X$kd^C{)WUPid=Y
z!n3%zDQ=nvcb7(`|GgAPlEI{PsE{U}p9nqe%gKi<-lSW`V-m>99X=q;OP=$LSJ}db
zA7`KG^zkf8f;V6Nu%D<VLbg=r!?OhNsfxN_j7u6xM=T>twKbtsYxGNIOA!8&TEuN5
z8SIO%ySja!CL*8gI-z}v{EtjUe>4Zn!j*1y@9PXrd}W$zSK|`J#pn{Hr8{!ydusHu
z{f8!Wdl?248^v(qbig&+Kk``lD^u5CsfGF#>3uGy64-WkN90#!Ma1o_uTyW-g0_!}
zf`z;!+;4;id<;;6@--92<2y;nbKa5lonH#8>`dp~3zQMCb~Pqrk%ZrU^z`~{(wIIl
zc;onU6$C$j#A{NojSF;rLp}5|pcExOYrj@SteBTXY=#al37?m}PALoTHx@%3b!zyk
zla_t&qAr4B&(uyW$s&F2{^y1Wb-275mNCfGL#C|l$J=9acq7w!UxP{m5%ml{VRicW
zL%4-8bjqViba0=7q6R*{&;EDrj{)K`SrX^66=0vnb(l$218a=GPdO+U;dmAMeHLd$
z%-ZvN{KupL${v2h)Ieh_IH<|b%qXIpUoX}pRvj^lT7GjCCJ39@I}jbLgzbOT-jXuZ
zpe<PQ;N++&7HmzAbG9qt`kF4$uvZmb20mlIXn?zIG82>J-jW?R{FC*QGTQZ+0wOO0
z>=*sB180?RM*rQ{32r5vW*cj=-2w`p_aqpR=iF_M+cFhVzy}I@3m<PYXvOnqBpy*h
z>F;5}ghCFndqv0c%FPg*xPE_SL=lCIO>8c2rIBIvcJb4Y87Mo$qDr;N9`GrcmNH)w
zn699iTQ@_>^7$Ww-U{$KbJE3??DgF*+$8I%&2f3=-@fsq@<<M~IDYPp5ZI>+9=0x+
zA*uag)&n0oP~BBtQ(x!9c^mo<W*^L8Av_ZlYc7lEwODTHIBt9n@j2XFY=*r?w>Q%H
zWH7z+;nsG44#bFRn9li`Vb`GN{@D>Je6eT^vkhW~&jD4%^I~Rbr5k-DcV7~2owM<#
zALy|2R~F|=58x!V7AAB?0*^DByymH?5%kYg{=!MXZ<6^7)qOD(8TU6j^=}arce2dI
zMS+-|GaZE|MBx6SJluDAm6+C`r>Q(c;C{<pqo_SXNFTYpS8Cf5VL?#upJ+41Xu{9=
zynO=L(a9`$v0$DE$gN;pW-x`FjCjl2cs}S%#M7SoJWEjiP>XQhWrAmU+qT-szB`=4
z<RUaMLv-02RSI1<hQzeNq@gJ{%!}HrvZH5+sm)3{u3;lEy0$lKyywJS_N$T4N@s|s
zaHW+Nbt7<7>qRrAa6sYOm2z5(S>k2AjX-?7A-I%J+6RAO!vltmz6|3zLPPM9MdE+~
z&MUi?-Wp`VzjVqsoM-2Wz!8Z3(>B1J&Vu1+NoM>kN_phOxJY~ydn?^~O&{J4lUcF1
z7~!)jVlCRfM0{>;eaf(+2d-h>2w`sqFrFD-Z@afbh!%2IKlRZgdwJD*rxQKS1&Dte
zZC)cd(<~xBzShMCYjTiOG#!i`2_v@U4Pt-bmp~`z;t|b@`RP7dTzT|T#axjBS38bh
zP<yNcDeu1n7VflgpK&?9b(j)Y4z*|bX^?$#x+^`LffkbEV#ZJEs8F6TD!X}48@F6J
z(@DcLh@a^{dP0N-eA|^x*EO}#AoDUX{yPn5hPIq5uhF8|K1lUwJ-IJv|M=5HLyO;y
z9#tmN^ypk;F*s;N!afSctGDcEaYBtP(W{FA5kD=1mp*7g-Ntg>q?Q)PSP$*Lc9{v`
zk(J4|fm%2={$6Csf)3Ud@081eSfEB_Bzm4!3udI$!<T32;BfNEnZl!F&J=o=4Hj#n
zDypc1wUr(<@O<E5!-0`YCOWC){Fi$ceed%l2AuTiNw{;26K_sYE&QI-KuLYkiGo**
zFytwpKU>a)wd<SO*2NkawJJYoM@#1H^DmUmo80)|TYimmuLiz$c>fdfWx?}?**`{s
zyvS#;IomCufpupA-Pqr(5c2Ud`#8%7VeV6mA`R-~9$I7~naK{@WY;SPGX-E(vG^aW
zn>sE!Q?v!wazIYP^Lden5XP=P*Jhwm#|xtoEBAU%<mDP?NScbkyI}R{c$*p;bp({$
z`nXWm>Hp2ZLJW7yB}!iBs^Q}80rLoI9>_k@I1-{GfkTUooT``9pt=?l)Vz}y79Q3~
zFFYjiGy2GQJ30TpIbPWkd&mdBoo{5$rAfhW$1$~s&(u)1-C%T|rT`>sQu;&&q*1$*
z-^zzk9j~0N@6mS)LjSFi+;I(AFod!ly%wns)f^uU_jqAcO&T-QWXM6UO0@S5qXw$h
zJvn)tMRC2%x>l7=0ZgAaN`j7RU~%@f!V!o=pltoCbgUu_%|0&a|Iq;Zx2dtwn-Zuj
zHr#$|SqY{`4hP7^YvO=@;`C>7&V>E?d3et;73fq2*@^0Dp|kg1zHNsT`nBGk3jeH%
zNxKK#<xC{339MAKj7cN(fy%{P4Rvged*;5~Afejr?+Y$QSv*}{Ivh#TfVgHOZv%%8
z_>4QYTPe$7>*k%9$~p}+xwwp6G}pz?iP)v&?efr&oHh@T)WnD0>vy(N^`QPb>8tZz
z1q6EVt1utdL~zmJla|Z+XdD?Rvh!5LxPc~%=~+$WNq+He3N^&AsRKjdHYMD$GOj#L
z_7Z^?dlKkZjL=%v9jU>sjDA;Fug6N7@H!{6oj%?K%3;ivD|O0f-8tmkR;7W$wx_+$
z)C49Lx;}?$sX)D3){}}t14Rz78rBE)x`sZck5WNDZS^*86E%Et4Dn+h24)kQ785V2
zz)k3nONf*TEM6YArw=zntapmbd0!Ps%owJ2H7kOnz?1Fxv>DzRWM^d2sNja<#lov9
z@-WSeyRT+%4p&+6Yr#jA@m_mhu4jx4T<s;&;?vFX(4$$i;U<}XkvAr&UP|KFw=?Ip
zYt2z<Yj=P74!KX&pXz)@exJsxv<%0Z%%R#7<+q-sfG*)$^BPk@WSAe4N~ko)Qjx<{
zlC3<7-_N>#$mK!frS3<C=gcv9?oLGSoGgB{oYHeR#)0@94~h<KH;0DruZ*>187TI6
zX9OlOf^wQcC6mm@fn7fu+9jlMT`qe^89|NO>0gdN$y{sB_;XOVS`vTl_($WH*NDY^
z67PyE&Csi~Sa4*A1UhzfCyV;b5f0pgckX@z>Q0sCE`1e6f)#tfE79M?cwOUpUvh79
zPZCd<gD?`SM$&&_kO+}X=Y7Zoyf9}E|J@;gJYwQ%`ngxc?UFt@dJuTU$I&Dc$p>TI
z44R!Ww+a7U`O>d~OcAy;H}B}o1K%%6W!l44O*#K$on-S((D~jvrDZP{xMaj`TlPL{
z@-?liX6!RY*0lVIJTiA4Z2jG@b-$%)%|X|niNzQn{2%Xe`o;<|o7TGgwx*`Zvz3ma
zJB)BR?_A2(3=`siX0_10ebn?-BP-J*)ew4GIiCVu8Bki~U{K1F*Obxav+L<+103s<
zdM!v#hc9ETS?^m*iS+Mv%O{l#a8RE5yVMpntXb(*yL6ff9r284|I_-=mG~|gVnBtQ
zFM|u3<*$e;`B<0z1A6$7cglb4J_SCM@4ml%^c`_9XYHw~z8-RRvlVf+Y!Y_#zCnX3
zp9vvDd5zLsT~saz3&<p{6CCAP(c`<m6E~hmZ|0Nx&a-+WI=1pvLc=L8-|hMcvFGbM
z>VL;{aBuzN<MT2r#Fw4%<6(cs2qwv~)zI(SXd9b+MD=%x7!jMe>9OMv;j2J#meoZY
zzN|Cq4XcZUmd0)e!Kagitey$g%^niQzSli`WV=X2S|pTJ7EBXv-_At|*pk56Z_!cr
zae>H^Fyy=vI7_&US9<U3(n9N$Xo*A40zvoR1daZ-d19zP`}DqDTIjwKHPMl_KrGzT
zpHtCUB!*<j#rdNqiaEA9iac2$blSQLT@99ry9*P1o<5qGI+6N*kz<h%R_@%p;kHWL
zb~YN>F|9%FJ)6JEt}PNlm;7%$&sZnoJBDZ9#cN>mw~>^j<q}cv;Nn)e09-($zqCp0
zJ)XL@K<10|l+fv)V#`F_K9h@~Efh%YzK|GvNFDO8kLR+=t`O^rI%7p*R0!>!kGCvR
z!<Zo7cN6k{7jqAkAGl79waE+3SAM8sXrEB?t;cJGV}ORtyfQ7!3%C7>R#8QO{vPT%
z%MIdC)?!EJ4?2`eUuv?ARY8P01&1%q7LjvCM()}(2I#!i{A)+{;`*WVO9RmqSkrTj
zw`gSo8?A-eA46sMd_KI+o<<2@b%C!;3oJ<bP<OYuR0(1uGxoKuRPdb;c;@5Ij^ihX
z--?JR;T*k9#~d#WN{l$Asa7~}_`UKK{yarQ39B%uT%?7_t_Ri;2f6TC<B8Kbc|{B{
z&Gs;mePZ;}NiB_k+_-#_FZ*1R0%S|~ygNR^fTgp~>4tK7vGc${NZ26-qz6m|X1rzs
zMX0Ty%`tvd3Y~YE7g9jYu!iy5aTc&zo`}^B6vQiCRh{`^d6ZT-5Kpw&F>L#&)g@gR
z{#6euni}M>d0ve*X@CRO!A6=o<D!VO`vm5D@>sBTZFJM+!o})g8(Lj*PrP(ejjCQA
zS9Ul>K7POr7ptK>>ohWd-#iv|CeLr_aC>r&%;kZ3*0#^I(%=q#c->4{0r@&kxu===
zF(0$5=J8b-?3ey^x+GTtMGIbya+3mNuRD8+&rlB6-tSUe(No0UiENAPIU(q!eecGS
zJnBMHf_Kv?A%~YMIe;wK?f<>-AUYKB<kqyaIjb@Rm4wgxg@_}Q+1oX_Oc^!O`|Nt0
zRG{#vZJ}aT0!B7-6isQW`1UJMfOS|E1Ai082Ti14`FHcRLbN&z4+=gRe5#IXHR^@;
zGNtk5=u_v83JtJ*S4)&%(7;rVoD}_r3`*H9UW-Z5#81OZXT$ZiV7ck%cq>2-;^qEQ
zyFAJL|KIriu`&{lf3UIn*DntNzTMrKEF=``9evVerGsBir@j6{5$+rOi!ahikXa6B
zlxEQbU#Z(RlRPERirL5h8ztc`<^3SZMSYAp90|sEWk~)m*_F3U0=G&>dCRIHiYvDt
z@ugA)XV_%U?=}*&{ylK2Wi>(l-jSHnB~_GFUyiA;AmK+?(#~3O0<m@pW5gphc(>0E
z7KCactG?=2Q3`Og+(SKFQyo2m4oz^@M1$4q>A4s)B)IY$|L3a?>l57<!oI7cHb*sh
zX_q-paQ<Rtvr)%<+p>>LsS4(vRTnaCnqyk<@Pi|RWRDZIllBr)#GGpT^3`(|;Jv=6
zNs?BBZO4TVi3eoSK5J}ydB_3}biFt(i>qSyedptY#gfpT4>7M|v&1Xu<E6JgD?`^a
zZ6SeC1Wp5$QagAoA$z67Xx&Q*98G&x^9Wu<eL3^CY2E_HIhUVau2X=ms9tfmIvY9H
zY}|StS>V>z>al@2IS9G>SKZo6jqlq7g!?@$(95jEB_%40m*OTRdOGt&_LBM&qd9Yg
z^{R*06Vebe4j#>PdPn@5pLqQt+8q4JyX{jCN#eQCd!ZKBZ%ukuH1{jWTxPq+>oBG&
zjzCp^>k0drrkwqLw|XPZ;AtD+_Pa(H55X?+`oVIOfUNl2{fj^}efy*N00DUAl}u-G
zZ8i<%d#PLv1G)y>EL)s-G4=OZ-|A0_X3_3r8vPRl)C_yM_MG5C+k+iWW&%{rtSxz0
zZ!el6{zdR<mfP%LO1~B-*G|>k(OR={naLF2{>=29{m29Z{Z-9xEY!{K^y-=h<xQYr
zTv($QK?m_uKLVaHQ8(YBa;#3+WsKdSL&>U%RB%&#_5JJzs^(iFPrB4%jc~2EeCOcG
z24R2B>)G?uRL$d=hHYMt4WaQns*taEiTED?0RR6Cmv=bT4;04jz4y)@*TucAagBVB
z5n5J6g(MBqP@*42N<u|eNl8g%CQ3u;dn$>j?2!f~Nyy3`KmVRT&U2pgywB%--_!_$
z`5+lKyp~3OJ~w3sxgH_Dyo+PRhfkY>U5Z%oq(o*I#mWo<>6%K>1HXw(=cpgW)~q<^
z92Q-1o(VVDOxse&dkE_G9OmWkEVx-{v&@5DQ|JZj*MXx=L}E|!bZ{CAuA)HsBTG|g
zz4BRpTR{nt`6$v@--`uD%m0htk!=D!UxW4j2)-f@6<EtRFjn^5v{LbBHvzqux6f8Y
zw35dPYAyF^v!HtO`t?T+7=z4OCt;SZujJaAjbc|#Sx~ho{nys7M&OV!HyozjM^+{%
zPoMT@!FbQ%vH>?E=(2umHWoKP9)n~~!9o_~khRhJSI+>>bAPjYt`3pSJ-$NoLaZo6
zx6krh%Ygg^MrniPC^?pN@Eva|D+W$fM2XcKg7Q5T^%FAVWG&Otmc@t-w_3A|%(xgr
z&z;6U^#c=R-^8AcFaNP&>#gm(c)ICe`HbuE<imfYfa|djUY+b1e%9r=MIar<?2f#9
zdU~1+WYZ7g`oe)XUU;~r&(q)=V^`PlZL_5I>K9`6oLtzS{pg5XDh=|N^4nZ(=E>gj
zna}NR+$eFHf9eaB2I(GOeo9y^lENQfZNs-bSejR?IC9wloE<L~op4_!l`7N<H}B@d
z<dYpAg}&)ST~9@Q<{K8g|8|?+YPtYwtFerP8R)||orRFW3053<cxGmgt`M#fbF<1!
z&;t*7As#^{I|_I<)eBNZP^n?jk#&R$JZZTtztTC7V`tjIqdubeEJ1H-hYuCx!<~4;
z1i5f)bfHvNkr;Y6yG>o})CIZoGYR#1+!(x#y}&_M0?(Y$<Vp3@g*1$0$oTT&`v<?`
z2JcFuNwb_@_7nw7?}YCwu;fRcro#aXTcnZsWT;*98U>ytckTaeD~Lu%p6qx|m&JOA
zPQl-96mU>=sNNPXjNbBfYrX06=zBNp_^<*6uCD$lyna{&#V&ljJ+M^~cW9rZXD;Y~
z)&3J3vY28x?XXHz=l&{WN;9g;Cw0Iq##1aHM;v8#$46Pns-SbGzi2oQ1;T4y_V}tv
zV)`)%u?tbfhp%Q$uUJrkCBJ90QjHXT_TlfB?omT~jnETLsT7E)HR@W3m%&4c$8WRk
z(!l2yDY7o2x^Uxa){~`RIc%SCG>u)-#Ok?>+wE1laJ^%1Ysp~+%<{chDN(46uar{S
z6SJux7jv^~=!z0H{36D_@1$U#Q33CsM|wckW;XR4QpU@TmOsyHQZdt+?j0*+0PEg7
ziQvyu!Ius%+B*jIaGiieb-xD<l4?#wKI>D(tgb!GgLe(kZ2y(n+O>4JDPH!%kEV{H
z?TzZ&@@Xj0k{UD@U<l2;d+I_?Yhd>hAB%4=9ba}I`Fb^<0S<b;%ne<dD5xUmP%dqV
z+C3uehb4@mGAAK-6;&Hmce>+&n})b=q3=N09TVU`Tr%=IR0q{VyE9B#7^q{V<mI=O
z2}J{)L+6VqXnIh-=M#m2?XpKI-F3_%kL7(L$6H+trM^;8l4an4Lfwxiyp}MXQF`lD
z6%{YB<#FGuHblN>P93g)S3{WBm1bI;9+vyvpA@GUVn$%;-xu`+T-+|Y<SMO?n-X(s
z;@8q~=A8IY(OUp<siCt+1NHG_Wp_`Q77aHmk4DfktigROjO$mJJ}O&Kw7IY7;o+Ps
zJZ26y;5C0LD#lVD_ghywOC?f}a#HQjpAH-Nt!Qj1RH=vCHuj?dXd%NcsLIRM780K&
zZuA|eBGFT7HPx+#^#ykd-kr6D+1;u9vVU|@Ku`b8xf9CR@g_;4@wP3LbPs7c6jPAR
z&*Ws%X*s-iU`}W*#}=BDu(6oXK}ZRiV4jpfR*Sbw0TH&K9^vwZ|GpM3neXj*t09E)
zufC6{o7=+Wy1JM>Jeo*8V|eA{aNrLKdA_nf8<^XqkmS2b9UsZ|%IM6`kkKHh5)f?z
z-;S%-7i6g-Rh+vqYOtU5+|u(~N!SMT*>aa(_ba2ax~98*$_=uFQtT$2X$?GPZBIi_
zDB+R8k%ynPdx(jP`!%m9T0@{|$D);sJO(5(-FqyD3B@bCE?&6+l`sCa(4AzEO7(PL
z?4BSd*nEc>+5oqj)O8k*OJa^=^B>m7Q$${mL-eE{0gZN9UA#SFxc$U?drHR)QI<CL
za4Fmh_`YmSYd<D}b?nJU|8mX|wZCGgLocm{efqP<3X%kH^N)Q}*COVKqJO<n<a0~-
zFDX(cI-Lij`nDh69xz9E{@52fIA{TO%L)@MOB}dqP9?TvaF%Ef5oxVawt$a`o`dYQ
ztSE7LtInX_EHM{Q-_7Q04q>TT*Hl{;$^Bck(adp%2(GmVu*fxo@!|9amZvl1v(LqO
z+nlC}ZTIeFat||s+936dU`&#lt;ZIlT&9TSW~pEnD<-H=CiqV=MoGi02pyhn|A>rM
z+o|ewQ^@p|-gL_IH_0rTrP_o~5<5BT3KvFA!1T3QhlJt}@<OC#)LhX7Q5@x?=H+Gr
z9rh3UGA+AF>ZI!-?xk_!yW0#`$`fN4$?f%c71u;I{8w<U^3XU@qHK9EP|X-3AMCiS
z)Af>EYTkYyxW<XS5gkHBsYVbR)O9MxE1mrQO+<Q}93zf}df91m89{zow{+XaM?{!K
z-um?GV??E@l~LIV2E;fv{#$qQEfMw0TI*u&7-48}Y*usD5DNPkQS|LiM5p5We8q+_
zVyE)EiQUHxVQMKvDDZqc5iX?fyGMSUa2dO0;yzD@ijzV2cy@FXdyQRt?_3-wRz22|
zX^Wx5**hZTY?I%Jf&J`N7Ssu%Yr~bV&HQvItdq=8*ZWRLUfa=IH8Mf0mmf(myF!Cs
z+z&3C+tf#_{@`&(plgzdw6%UbtwV!&<Dx0~uzsR|oHE)r^p8+nsA4Wg8i2UEu%Tx5
z0I`-MSIB}gO{}NJ7{wOq!}j;ZJL4J$iQ0EM>u#sd5TUY04I$t3fZE}}UoAaMG}lOQ
zu<OqePt%4{pUUaM*W2f*w1~e%g|)?Q<JozF|9R>^4{s{8eEKICvph<~v-qZG&n^;c
z@0P2q&C`Y8k8BA~H;)q;o5r`M%Cdk!MWgohaSF($?${h$GeNkj{a&T&!3y>!o`FFQ
z6sUCNw%zXbkMIlSw&yNqgXkS4jvsS%Kx(7?spzFCLTm4-E_ntADEhtGu)v`M6EW~|
z_`?hlzr_)fyE)+k8F`0(KpO~`z9HV)IpQ2^e)ix!ZfGbxZT<SI7PQr^$&VUYARe~w
z`zcYz3&fDqVFgbuh*0g`xxrzXsE$rtySbkqihVtOt2;DdzDREF_a7Em+;=K*>n0(X
z_Ol~)?$Csft0GKC-Pj=F!kJf@Q6lip)%|wuqy~_&*XKIA*}>&QWYV2UQ83zrJ>#hw
zkQMbMbTNSwzU;VPT$LmagD+k@lU}U>_e8DsFZgl8TIRjfVP{Ej;MTl%Z&Dq6n6)Bh
z0lYBzU8N(yLK;}vUfw(YOdUdRnH({>!Ve14>w5g%W#P17MCHvib(qzt|J=(a1m-_J
z{#3m#5A#pQ#PXxn;ne!cFAAGP;6@jh-V1ppICU{YIOCK${H=N9Gx1s!o<!vxW!<X`
z8G+48^Ev7uX&QarX|p&eKj-ki{#6BDeRMVz_^b}z(>!A*1SDa!DI)slVKrzq>pECu
zp#gT@IX6lNq~Q5&kGJ>LG@xGPetBfI2FNaDuW1^R0ow<HWp~Fkfx6|~e*?!gp=RNj
z-X1x5c>lo6F#VG@uwIDJQ4iJv5wAZ-Jr66ww7Z2fvzr3P9%`{mWod)|cZ=(HCs)DH
zaMzlnD|yT2tjZe$VG8(k5Ji$MDzNm`YN12G07P;|HmS6(=uIhMqu5hb_%BP^NAwa6
zoRg=bwvXw7^`+-Ie+<<@ugpg+B!>=?-#RavnbKD761c%vsR7y>`sKv34B?IQA&=O6
zI^+r7ZP~q63q)n}T^~g<AYL^)?%PHNXbY?^+q`l&!Q2oK&oqLeQQx0_n#S;V_-y%+
z01Cu3_bMm9HUgf<=MHP?n?jOdj&;r#T`1Q1(-<yn4A5NEneSr;yHES&nwaasP@H7k
z^Obr0+#O!~0t+~OB%mi|zdlTV-Y6$iX#}5dk3L|qTEWkF*t;{x0K7lvwkh!#LFt!R
z2X-9*f!&`DsEE-({J|Od$1{fT>A+>bNgHeMD>$Dc>_`LeRd;*jQ|OR=JN>b_tqsi7
z%ZxU=(O}XaNAxNUpsVzc(aBY|Aoa6PPLxK20}GuMv7c9R*v3Qihd<iFbrp$Aa-;!x
z+^KIUd#DB1InQse*k}iNR5rPY8hvQ3X@RN`H6SvlB>gk(z{lS&Y;}|#WbwNF+ImU}
zY=Zb~_{!{HDR%4KvN2uoDw=sOpCJWg1h1;`H9L5>BcgkcJ_VR^#&_Jygn*vnITYt-
z2kXMroCIvOLH6b>Kj$DTz)0ik*PM3175+hTgOw(HviYx{ZTJt78fX*Wn`R6CE$=4>
z_0)l7+FGi;vXLC^_SD)SW(yaCZ!X9wsRDm>PeaDLagw>=f>iKX8({a}!IYI%hOIYC
z_GQwR$U7`9YWrubAu{b!hOm<Y2)|(ya0+0@S+{<Y8E6gT?RuP}S7ku|=?(Y!lU(?h
z$Ez;&Gk`<f&hr#?Nm%vc!Zy*{JlH3{ROsjqz+Ow`sQDubWA;sLJJ|V9E8V5MA(w!&
zi@k<?gM#pW>1Cur9Us1K`&`|WZv~lGFNF0)^MHTirOJ3ke$2#YX04U0p;<>_>+1}5
zu%7>^xj}^=)nj!3JKJdqXwhnvvVMu!&H0Cs_LmQpK4sT$VzmT;(W1MzR(w~BBU8Zb
zIv<v#^&LNMWC66?-z+=aMu>}^YZCYgK9qeV{MIbQ9IoVM$zg0S@uNt%CiWXI+H7C%
zUH8Zg`eGzgOYCcj+Fj;N!HK*WM$wWz#$g7Hmkuz$RUm1o9`j|~ffu{JbpE@ug$b7-
zsUiFMCo-lkTz0JzF9wA?X=|u3h3dgat^e|VlEN1?4oisfqHW`sy<sw@Fca{A=Z4xa
zIdSCNop+kNXsI|gXBT4vbx%*G&=<!@g@bj;EZcdJ{WRN~p})pZaV4PtqS`<5{@b{l
zh0l4>>)j7EMu0Jxi2U$>D>g%Br}3t_TJvGPZt&>P7bDn8p6t5OF-N9z{hYKM;ltcF
zq6&-NM!;98XEAhQk*s>m4H?z^Xc~1iZ&NP=XpM19M;;b5O<lMj^+o_KKkoWD6vO}@
z!PYNL8(1-%i<?(}ToCujjIL{1@%@@xHEK2~Y<PG}h4jpNVXRza^_NUCgs$92VKZIq
z*g53vqaP%KJt{MHpR^2trh7V1M3)mMo^|)f*^6S0ddLo^w{)m%J8F3#o(oUb59-WX
zh@n+9Gvi+HN*)L{nXUQ9jay%cOr@?DN3FcP8xAsbaHCF+7KQPm(zud&M3@A2Dvu9^
zzoS7zbFpKJ5I=^9u;W0LBx)pI%_}=i16kEqs;wx11&@*wHPobWjRUvb2|F5$`SOLo
zxVX}9dkptS-j%`H{e?#(1!+)ibl<ERL~!-!M|bK5Ih46vZ`Ja`0OEvO!*$n-VrrfB
zWj`?m6j9loZ69U;Qd_$j@_}M_lV%zvI<JUp65rTtur+{K#mWJmYvOp~VyRd-yE4}9
z-Xo%;Z2;eLpW3?pl)#n^)}0FSD%j)yKK7870fgT@Kxf!XA=zv+;$o+YXSXqVdF%|J
zj`i;8C!{o{h2+M@MX8})zHFRUi~+<*_!ixBlf~a1WLjyhIzowfhsSpVc&EF8>-@4D
zYF25Haw?km!*-#d)R+c&zY07y*C=4;j^i>L&uC%m)fq+Ai!|U=lUF}|M+r}>5x+af
zv~l5lCNqhR4*A{ER|B1uaYIOI3B#X)l3QK7r;_NvWn9&gzF7sAB{VUqQ5VHL4z@8(
z4S{R$q5y4=DhA0!e|c=IxAO0IIeiO;;M5+iFBq+cp_RVJc@p$7$@;dt(2CyXZO+|w
zx~h&RZkN9ZMgy$#bw44|X9V9ZHCa8MXrSYF&!shcY1r;%&g#c$0t2Ecf5;|HOw8OH
znbc0hg|DaHso0u=N=8za_jfJaBEs48NS%%{)<b(GvzQRnBpI{5PaA#HhFwxN&@pke
zuh5Ot91eTt@W?mmpyL6S)HFvrN;$Ynnnzi{L))b!_FM{H&~z{Mlb~aLZmn1Rf+YlO
zFTZKxqKnA0E7hZfhA+%p{IkNWAoRB)4cc_kNq3sYDNaKkr=HHAy#!E|+{+K^QZXun
zWuttuK8h~}g*RRSsB+p<yUB@)o%L0L0XbB(XIvF|L$e0w?3R=Tb1L>d;JLYF7X=-U
zTgPlGvxZ9U*B|^wb@6gY`L^H*E!@l5%C9M71IF#$7Kab&qPgJfy}7;`7#rPlhGnM>
z*p{!`DEEwlEQ$Jme?C{mhIP+&>!;X&?y<D9e4RSzV$U>mQd7qG!7O{%TQ(5%Dd|IC
zgEkrsPcVqJ^2ocNyk~LM27L5YDgtw~knKu(Ou!8(yhLGBD~z-O+E-zNCNE9o75QOM
z;xC3&w#*ZMS9&ph|I(WT77bKra`x@E6hvK_Q@3xj+dyD~orwAM6}@^`51)L<g--1<
zGcM)U5W45a*-54<D$QM5bf&Um@5k687f)-@_LiDiY*$7<JIkLVj9D^$VR=pJKY)+I
zA&)lCE8+7U%B?9KV`PcSs)^KOfar94jskxL^z#qA|5I;(47y)^a3#jV%gC!TrGv5<
zxTE`98T&W#w1LjozT*V+G`IP?W=f+~j&#NA3(e%1eptV1u@xBaZlSjxki=nMi^?-0
z)nqEuJY4qcYA|vAs3USn9DCjfZfjjrK{~%FOZzLn8j6_<&q}U|;z)T?lKP_pa`5|!
zCp(-hp{-Bv>x%(lOv(TEiT0(C96c2~^!b7Xq>3!~(S`)D;`Kj`%Ze2wgQ#F+G@FAC
z*QDez;KR6=|7pI`c}eyjIp=>_!5kd(T$j>&xsgRPe+}(>9ohA<rmB6P85CSNRmxG%
ziHQw@QvtHgq<01fmnkx#=uFUmOVjMgXT#N*+|@y9Wt(TG$uc4QNRaTYooslox$8_n
z?^p8K$IN}z;ijNDT0XDB%ZkC*s~aBKe<!`tmL+a}GJ)iCz5f-zT_*pu9-UUm|4Ej5
z`%kmkn82;GaqW-3E|O=aH|||f{Y|dklIB`dVhrYT=eC+TFObdE%IDo54w0AG6T06i
z8bkiWbeAg8d2+unyF#ztD7oLqmTNM_2s-3m{7zgoM;e~1IekWOoJ{`cz^B7!1Plp_
z`Fn?FNk_Hr#;<b|<n;X9H}^OObnPW&7C2|gL4MqGc;+9O?|aN>Hx~mW!jjy1+Gfa}
z_{Z0G@y?LCVcYjOCmO;{tG5reKhKb(f6e-L)91*5Ydu%E#0(+2_KNvFnOQQkfXgg9
zbb;)@UetOfn-2Ee=XEchoh3_?Qh#3SSR&>9zB<-Z>A>hcpvkU1M`m+84!U2;f-gdM
zm3EOd80?P^Zk?GU^|KFF-{N7zVq^NdC!1*y93);;K08moro1_m@E<##so<6xTH$a&
z>WyPRDU0Om*@VoaoSay^{#NZeWdrzeG%C;W!V;NX<ooD;DHjG@XQox}(uXmR?R0ff
z76j#Yb(N7kC?a~b{^o;~9y*hy`S%|S3JR<3-ngF+6Km6z2tGaN9IQ%qm}13;A{;|L
z@d8Ls3FQ<GqQWjMo0AX4*|A|f`ioMN5Zbu~e7W1A3)#I6{H!h<$i2?%=kje4oRejJ
z{Ln!c4(1!jT9k0&sfB|V+LlDI&0K6s=q&{V=UT!a>T%=L0sEaNkBZ~ha=)%hHwx4V
zdI&7G@SvP}aB!S}Bq}_7#WMCs2l|RH`u64W;a<<j%ExP@&??rJO)FgovUv;Lk7Ntr
zHK`bp+1oO>RnbyXcB2lAMKjF$YlP58CMEA|i5$j>57f5G=s;Jwd#-DW2$p0Hq$Yh+
zz%?O3H>zi~p-(dTl+-6tOuMD;ZD_R$B|ci)Js;PGIK|tAX9;oiIdkd2rJu@p`P0j1
z9Naqa7LD%uzm~vr!%lt;wyL=N)8gG8^OYVgUaY%*j}%%9I9ql+Rl|hd!xCmGI`F<R
zQu-lP27Mg5ESL@&sLpXya+?SRLRDUVcqt)==U>V0%^lQ4Y95FB>M9BpZfSU=uDs%>
zds-e;-PFc@oq@Iw*}6b^=l*8UNeM5Ud_35*mx9lA?S%uLP@%tb?4g>AGWu>lmQlUJ
zdu4mE<<sK&@GT;_Pdh;cBbC0mFhul`Wp>+@YZV62!8~L9rBM|(yuai}eltL!@;sh(
z%{166TYjTTT^*Mvnx9sGpdpc;ns8;D4#P*El-kB<AQ%1Zt@La<@^NkcZn&BOdv1*H
zd)cdrmlh3f^lvi6{0`SP-Et$Ki8Hr3fHu~pEIYdo7-GL#9s6@<6G#*;qh8C<K^a>a
zhaWBsWT+^Fpy&!`{1@Liby2WXv56)BGy^RPCeFBznZe9j2aP|hRP>$u*l{DAf%ZQ_
zJG1&MV1swDqZg+hGS}R`QK`Ye>~*Dn%`04`z8nwp>(WDhf4%yi1Vc1j6>i_yNWjdA
zHRC>^`nY{W;PB8bI{FMY1y8mDXdlROU3{;PyGws<u{uUWdV<S%cCj@yPCQRo`lgS^
zo<GYdT&0iKWS;b0-(v&C`%>O^-qFYS<F3Ch{H0(`_0E}`WgF1zTg9!Zs*m3H3t!uv
z)IztsRpnlXY~iio@v2wudRQcqeDM9G8kX0a2n|2Bh0nux?`7FhaZ+jjzuO0u(b7As
zdAi*eBvO{zD037Hzol?Ac$FL;)HJTMZM21<OS(%9(K@IRGxL`1vpDWJlzrAA-xdTe
z?4B6tS@CaY>gD(l0X%#&t|=zK7JAB-TeNgEG0>6P?3%%bYs27u8=ozl6)fw-o$7c#
z_|u*CfJyRM>*k#08#b_sJ1%%6OBJO&Z!^t=K9L2HJ3I}jHt<O7(593QWlX1AuKJSG
zOk~8Z34DLw8ulCV%dpre;n}APSAt#-62E`+Oz$+bhX4A#jizViaP(7t{=m!x;Y@0e
z-g*E~*c+=F^GzD>oy@(*z!@U?x8!)F2|%2D;e^MG1o~bGq0DhF5RZ8{d=4EW;LZLc
zSL+<aaQFDo-RE*k1cP@>Y3(^HxNdJR>3>}q!$)MeMJ<+zoA{<^%bnGb#~;r;ufUIz
z>w=!X&s`?`LY@|m)>*=5vCZW?+}v34>aZmD>185*&*UeTDGN}mq()46v14JBNYq7+
zWumUh@un@s0(dN*(scw_@MX}kpEZt4L|@|Ft!}%`;ho31KNgHRvQ@9|TV&88;rOIo
z;7NfQjAoj;JeZgy(=rmT^+zob^P<j5ixW(Ubr_l1wQiL3N*246cxj%<8DF1y&yET8
zudPU3mjP1Rc0`{4#T;R-n8WnHY6_C!T8F#ld&uuw>`Q(v%@W}?6CO{dP2k-1#@eo_
zR#Ka5o3^swEb;GT*H-T>CZP4WoO5;KD^k&Dd-luz8Dj4#ayJJW!;LoMCC>Kq#2ItJ
zB%ez&glF@b{|@OI!^1nQ0)%5V@l7?XbAQMT(K2#$U*J_E*j%yem~><_;XM1J^zMH%
zMDhoV@1(F1oWDBnGbQ$kU>qNvC+^P>m$hx(*T*wpV^B_I&)FWrHu9*en$#@uF7-P7
zHwOcHs|Gm@>wXZ|njW21E1o6pkh6^AXAHsBltb<K=YAqC_ics3kvYPP?_k#-UPI_x
z!)!_X_?t*hRMZm>o+pBiB=D-I(jn@RqM>N%5aA~<+_*k-f$&-P<-3Fu9ej2Ql{Lrx
zC7k4sPj8=HB$&?OrR60wfXg@E|D=r(2cu87Y)n}uVr|=&{sC=;4|5x+x5tSWqcifh
zWh@Z9?t9(iQUlO`arBVB#w0Pu^V(qHF)M7hnW<{%(}!yuzIz{3{3GZe5)_lZvVq(V
z8`4ZgA6}nij||*4P0$6Vnie%Vz(;Y8Uv8Hk9J~4P-jv)dk)P%2k)6f~>Jx9dFW;vE
zV>$ae&+Hs=HMKKASc@Cf7A21ivQy!?*4OZza|?vUcva~7J|0-d6{4_XyDpp%k5C*{
zTP9?ue+*y$zy}d7p-R55DNwoa;(kCC3p8Z<gx&uw0AEi|lfE<xBp0B9IvX2o5)^NZ
zHWP-tAvfXWJ34^d*tT=;WCshWk|Tz_A|SK4-hEk12kcwq+IW6&K!!`p;u$+J_*ADK
zw(g-e_@CC8c0R)egvY{K(>igmpOg<>+@KBfFJnJ5HuAt>oo8h~LL^~eB#-~lgch8p
zdx%<E@qrFo+c&~m8p1EJ<XIJHft1=;>MCymC~9h=@tMm4b<{K7<B%3Km>k;oqEHAH
zW>@)6`^v-r00030{}h*ZIMweP$L*EuJ<qX^b<VN(=Qg4;T3Sj<5=B-bGa^#bq6krF
z_e~mPoLf;wNh&Lwh?1E-et!SHujjh%=XyW)^}Jv2Rl7yc<;|*KLs@#rcS8WShNV^A
zcrFWex;XsHR23S+q~z8A34;9R1KH`)B#8Ye!DVf$3VuOcY!v~*0D{#i4k2X7|GDT{
z?yCw@{1=|p@QDHw`}*GTKMFu7MLfxRr3#;@`Kc-mVsP|LtW`>c5=77I%GD^V!SU*h
z>X1SSc)UrXIZRmv=3HEst56LBTrM10E|G$WrPl+(gQ}pDUhYtyOo6vM*|U9r$-t_z
z*kn{G1#FJj>L0tN4pGhgb!BGq;AzLryDe7(-YGk(Pqb>lv#ZIMM%zhnB*@xH?}`?5
zDzYZzAJKwmFGd23)D&R&P<we&EEO)^J63oPsE{3FcjaNcA`k-SR(N01;NWD~AI)MK
zd^lQeQukL0*5BVaIFw0;yC0^knwIF`<v7vP>ZSs$J<EA6{yLC1pS}|3rwc~AwYzP;
zs=|`D1ACgXE{JDo$ky=d1H-HR>N+b599<@9)E4Rjuj?M|`gQ{_)1aRzzN-!!54&^}
zaqGe57e8)x))_&YTeeEVUk!-vyIvlppa*B4nuv3>n85LjSJH*zS}>}wd9`U$7joL)
zU+tMRgPYVk$-lzdFw}lBPV}TMc&nT!8{i}0Ap6DurB-dYnVJxjdsheE4jA{OT?Ck2
zwY0Kup~7RPI<wbj>F~Sl{5|(*OStgFd7Aes6+(-A&i|FB!6r{v>xa9nU=!*UNrzDZ
zy$ZF5Cp4k@jI2f!k2SDnJbddUKn3Nnw*SO-Q{Wy)urE`pHFOJA+}7Ep4Fox-`dhLx
z^lsC?G(Tw#gSpb9BU`mV{iwL%^>Q+t$(-cmSF(Y@=#zima%sZ$=VjAvqB1}#{lj!!
z-3Ip0IXnzZRENOfY!+sUC=`wDN@QDS1CPvTyha^rK+|igQ>j`HI*IVxq23zCw@5V%
z3aCO+=C_fbZ&={<r@~0KKx-IPKDw7rR~e=?#V!_PO%i-F{x#+7)}VJewtcgcB3x8&
z6l-bzK-@_6&xpBb1vWEv`Sm_z$owO|aR~Yu4vxoTBi30#bPsE@thPLyu*=li7&*nr
zRpgy%KW7PZ60i2&xF-!It{s*)rWP2FWy8MJGFw8f%z^tWTO{B<^S3r@8WT1ci!@(~
z0^q4VH=?2~3PgN-YY{&So}X6c-M36Y+SD;NMOz{G7QXpKvK1>j4heIUI0&HK+%V>^
z%MV*~cV&F|%ZkfcCO7s;SirlOK(@SXJn-~gq^z?(8-~bPXS(Q_153`u@89~_K{ws`
zhl~yz?yuYGy|UK~d;^)!H4iX@N6G^!rzKV#xMC4Dm}m;rV*x(1x0VR&q`@~01+3`x
zBCGcjngHb7;xMMp5d1PfRO*2hg&7X6N0>~2HgMoBThKV6xJ+iZZe~Gd$_=F!J7YLN
z-Wxamc#xROw_Q!~XTh}Kr(5@?8NqS?!n@N7KM2kI5Ai)>EXXY+6zKcg5ZotTuxr;>
z6Tc`=kL5Km<5*4a<-4|qAVE7lEI#s>q15WUFmj6-9WHk#WZW}=i<6w+9CI5PuReA`
zQ4BLab1po(y50a{=Pb9x9q3@>`-T-#W0{dPL2KW|)B2D>B_~D2^)vpxr)92WGoyO$
zPFKzmJt){%Q4s9)i_!M;z^^@R%*ZvlX&T)0KxuG)wcErWMu*y)(?&Wh__Lv(U${*d
zerH=Pwxo|UmR&;=Lmsjq{Hc^VxLX(0^R(q<awi#N1x=xmwfFK`eYr!ZT?Y<ddKg2w
zG0m`iqv#R1=5ye0n~l<kbbzzT`U7X&3}XlDqg#TlZ0M=4|0?JY9bS8=&r<#77&ZG{
zzfU)_W0yZASvrCa0{(l$?z$~7+-k<}L@#h)RR0lUDFHg@&m}!&*}ue)Bki+rw&B7d
z>MKh0eHw7w=X-wV*b0O3#p}!7SKK)AsNkCW1{&<i=@b02kqOU}<hU!hufq}|aN^@9
zDvb3RZ;d+6j7BAQ)^W<L$KsSTy?#<_|6;eFr&A6Ka?1Xxni1j0;w6?Sa)36-n}@g>
zjIg36`({n&905F-%@P>cqy-7md4@U;>^QY@Sey7Fh@nq%){7EaAk$|cXJ5;K*SVjn
z3CIiM&@GLmzSo*Sd7EOF>A{6RVx!&{Ul2i~@6P02b4@rRTd{o?nFo)0m)BcLis1lL
z7pr}f284QLR3Hm4W_5mXsH_!78EHlRv{M?;_(GM#n3oUB{>n)>-j+n)Kd)>eH8p@g
zE861*NdVnk58C{?C5@je|EuSkQHL{fj&hf_3*t@_+1tk|WigP$FF5_XI$Za%m@mr`
z!h7GtEuL|a@QgM;ZSs>k5Xx2_&8#9AW}lnsZ%am_y%T+wed>UmMq5su6U93xmu<B&
z6wr##<)wz021vRkOA4xr<LSpcgYU5_;T^_8)JI<p*gsUP-8m?M=aY?7Sz?t@KG)p0
zbW{TrkHxsXdM}0g2Qs%`7gj~zNg)%~Tbd9X9xb%+UIr6`?FJsdR71I+AxQ$^TJZ3U
z>y3Rwa_CSj{bG-YI>vO_SzNiM4ei|rDSNJwFuz`fOHN7?8~1$pNQ_XS&E8SUrIL)r
z^%4oCpS6(OLMhw)mIga~-*62qD&T;3w#!&J6<r^?*!@>ThXKJWDZ4-k^|K_!9-OD)
zQd&T*SiKIMiCc*wUr<K-?V-NvHgt4J{?fE-EwAqWGqS$lqJj<4QU^+Y(osh@h%)M{
z4>$9onrS38^u6kT_4^SW42ToGn>u3vtZ7mv1FjUD7Wj|*L8%VjD!=GCm~8}x-+GmX
z64h~X-HGhmT{^h8=GRfSgC?NYz4`K$n;K}vDwR+9po1G(RVU(UX7EYCR;c!@CT5ov
zJ<9OYL4&IsPp7k4fLuo1?MO>46jKnOaDS)c)13OEm<9s+4J}DlwOXiE8uprdj)r#g
zUWG3i00Aw|=2ODjs7+!EHGV_IklOFDc5#;QHDdhz9vN-izu9GIx1<*S@M4-Z*Ivs(
z`6vAkyR|S_@JJn>vN{Goj9b+#wt_r;r^=tMS_q*B>zn6QaCT)2N3fhVBzRV`bf#-!
z>=v;?uUCp_*T<)N!Oa@J{d;|hCtU+Qa(WJrg_3adSHG*v;nr|Ax|)l0SRK<dPtfLy
zr7);dveV#{H88Tm_<fiusHeA=V)|DEPb5jH3T(HArc&P#N|Y*!9W;Avc9<Wh_RW0V
zBw`KQBfpn6^(*7$T&X2aEe<Tq?K;N#)(UEUtgX+QDWSG+_WI_lOALmYl9}y6D|jP#
zAU*bq0{UsN@<%lNWu*8TZ+SXp34DD{5@RDI%oZ$=p6P93Z0A&L(K}-aaK4M3d|M8;
z4sY7X&G<yDEhe8Nw<Xl<9K3%0yfkjg>2mn9Yk+8zG%D@646u1L@{nVe1d3(Iwo<;0
z5>m6?QC^Y&do;Lo2D?S^EC0LZXC{+`vVwQ`yd423zexJzEQ~7Vn`i&HO%wG`&T{>B
zw*d2kiZAKQ0yuxr(NG}mAMteVAMf2bb1?f`+EeplJ^DtdX7LEk5YAWg<uad`f#Rdq
zD(W|G>{PvjX3R5$OT+4mf1ReVHJ#%@$W9KF+Rn6EasD51v251+ny4xCvi#vYrpt=^
zf0@ip*G&`VU1O*8oK0Ze@pHdsjxu4K=QG}oT~owDiOG$)bYm!-*?Uc@ZIR)5Kgf5i
zWs=xkeKJe+rxBDSmTajyIm>wP%QN`phY6y6>yCLeFaqtnzoMN|rx@NFm+w3)87ICi
zNm$J#8-h(BN12z_ID^%1+@#rejK~_dy%#=W0H-<?e_TH}!l)^p^&Gu0N>sSW%rZF`
zKnvCS=xfEFj6_cLP3_IUiK;k`iVe@#I8)x2o}Jvo2;C%LU+O$Ucrx2|^2zGMm%XyQ
z<w9)?g+$$*+qs8{)8v^p)r)%YJlxnenX`!z^<V$>?3p2=g!>l1`>HPJEFZT$^yCBM
zcj8uJpX?C9>1NY=?UXM3iRt}X6H~(AxZ1&SG;)yWT3nvHF`)yEC(g2YoW04g(03{q
z7aJr7-ezPutZ{MTi%#b;*8*bfg4wpn!Jou=w^8!7Njjt-$`0qMdqYTnbZ5RX`jgO4
z2>0C*N{0u@F<R*{RfLZ1h<&8`AYoO*opqF%4nFQ7DqceM#HJ;MhS<zO;uv3A@w;Ri
ztUFz65|G(QbY!+IIa&`96+(&;j<Ph!&<hvMKL3@ljA!f~mHS1=h`l+~<3@!m$NYZ>
z9%v>ub5@2AQHP07%9CpJ3)(O+I3RgOwT%$fY=Dg+BZNVvU50m=7IYn)EA$xuK~VL!
zcR!l>P1NS*ees&o1Oujk0p_YM;x6Cp*v4n0#5MCv4FWVxu)VqTY-e*1(RQ(6dcI(c
zFrK%{vJKRLPth}>>Mnf*_vYXz#j$b1_t53k$r5#lwX?4~FxgMUhjWh_YE2TKhItE_
zIMu<pNO{x8yFUrz=wtb&m#2sh58uUudnvH2V(RY_G(@C^yS)&X{znKgK9jf#)nLn}
zn|Xqs!^H5I!Y9QqGem}li2V3^HJEHx?bV9;O%$bB$!NctBj|k}NRs}l;2y<KrPqxT
zl|5B#aSaQEAKUx$Ni8anAb6WETydNbGjRR9D7Q>l-_IbNZB*do)?A(5s0kwSit(n^
z$E$>K=eY6ZSITfGs$}x<!X&{w8Io&HFvBZ>S#J+*W%%)phwFUCG?AnmG-UdT1?qm3
z^RPcwf<^Jki9q)mqQ<Z6EJqw0?AO=ze@#__-|M`Mt9Q*2MZN<pRYy5s_j1yS?<I=x
zWGZ3GGGc)^-}mX=zX&dvJ@PR0%VtHm>io+`wsnd4mK#@fp@s*3n?|Oa_A3BM`p7pf
z|5ai|^qj}=mi1sk{}J%vtOB^#Hf@ztW(JnwMfyoz0Wh4raBPQ`0=!7@RI7Z&0uovr
zSN>cVgotw&w@mbqfvKqVM7BR0h$U1WWY`Ep{SNs{<G0CB8bYML-o*haBO!&c@}h9c
zb=|g+<79AnkeTY{%LRd#cCgQ>i9=p=M$u<mGIY3fl1)l@V8PovcG*J`7Eh6k7j($*
z;<KHrA+a9vUnK4bX^{s1`%bqlbjk2#>&g8aSOnmot>ty?I62V!<Tb-=PllJ~p_d#J
z1YziHjM=u=Bsir!mb*2I49AV>%)xYF$UpG=Yrlg6^oX7hnE65mO|-KNVHJhof9a8}
ztV%GrVC|e{uK<}8<-OypV$hR$hjOVy8Me*7)L={~fV|gAun|QP?kFuxpJ-MEUk>WP
ze7zz(3pvEC8zT)>mpikrj!|H9*)4K?pAuABtG?&smV>|7?rd>T(uCxWs@NPt1vZWx
zW(qq<0^w)uVR<LkxWxQgQ}&;=KAfh~`uQsv4k$8b_qx-d@lSW7^)v;{Zlw7C+ph@u
z3mGd9FVUgL;g<EsgPL%mIW>nguLR`y;i{PDI`BcYgk_5<6=+QrQyh6J@Ws6}o1;n>
zcJ?TJgbj4aee-cBb+;Nso4t_8d!+}4_txLLs-_E3b?3@nuTzK86vMtR;rejp_5n+A
zTYXSJ=lxCh)f$(jx8WOB1Mt7cAAIblA^ZrtD_Xu;3;OqW*1K33!1-OIaz9ZMm~I_R
zvMkkxvsSkPC1nj@$Fq#V#<hGYo(VjgG)DzLh3JrX*Y%;-t|3>_kpPD)r$%m`rh(+W
z>ODEP_26Zh=8c`B04_c}@BA8Q;Mh2M#E8&^!MM9-jj~p7`lHlD^E3^9Cz<Wo5=jTz
zWv2v&x;2<j2L&>I(V)TRjM|<SZ7_6-PtNDE0T#)f5wUB$PicG7!M8yjxNhw1qW)(C
z2@c*AC4CzBiRaip4Oa%{_-zF`QX63M`yr1cB`R#&M0?Egf&`8I!I^WLHh{{%(ybRR
zXaVlLR9$Q(0a$$V%@3;$aQN$B#jd9sz#?2(*7BSmjycD-+VgIJ_#JK)O<5Fp)cpP7
zks2m=AFkb=xHi`|DAaGuaaC~9(K@!7y@$|DnsnT6U;{~dLEf8Hl_6A&h-29^!f<Bq
z*Ixh78r-$)?BaS9z%JXb*<NFX(Z}|z=8=#!IPTa%1l%P-k%VHK_fvMfevMV7_>>hK
z`0Ud>KP3Z#+WoSN**uuW9nvNAV~sZ=FjT%p0@@nGerjm&Va@#6%_M6}FmdSNIJ+PM
zO8I?*Et>^!BCG2eM<D=n7rDpYLl6r4E4oGa1ku*DQ~aMYz(a?2y%cR;NVSNWO$rl4
z6Q;`OPc{T7ZaDUjrpf`HJ8tcazbClHpYF{i4i@nD;t#_oPnjTNWOv{3`+^vh<Lf4Q
z*c|R%65JIOF-tgV9aR)g7DUILaoQ{iW+0RNcK@vID53oz;fK1rAhL|rn|r=C1umyv
zx3qKZM88F4^-H=S3h-4J=}wt|*P~C9XEx<9meiJWBUuG8-OfVP)7S(aTzcdXp7VoY
zWzh69qEi6xYjn+uo;QZ2B%hJr_QMQg^73ZWDgi8tFrlCBH3EtJ-o@QtCK&e~S60fD
z3gB_Or@@1kMi6DXuH#4441;`9Ch_jtd5?FG+rK_AgfzwOH`A31jP7NHR|S0nX!zjl
z<8Km%&=UCc<oCxbjK5`ZrBPyncum{;YuY6PnDq<c)>UIh1D7#^a!3$U=JHH?cnm;k
z=B%k=7YoiOiN84VP7s5u!{aX|>qGTYf}U?Q8%7mt7uA~!;ogs_<O^c@P$uuU{6vTY
zQ%-d&bu<d$(0`wYJM;D6nNz^vToxxTf85%)K2jKS!@`Vjn(DzLv-;cpD%|Mf5qYZF
zN(7IR{m*o@=z^=bLG;z<Jg8S6eEdHJQCv@z-8dMg3tZ>A9ji9*Vnty@poFX#KKM%9
zo>9^Tft7aA&Vlt9AolKBnvOW`e3#Je)vN=9%SoYQ*ZA?6l3&oX!xCr~l3Vd0MF*z)
ztpwd431Iu^zRaO#k{ErqGu>pH4on>94)?n$h!F+N`A?;!F@~}-^jum8Ob4Cb;#DD(
z=(m~Jmn(w{Gp4UA$LOG(VyplCmN1?$y?9?@gB<R7^g)!`K!=+m*%!H9ieUZTJs*Fv
zkdW>hWz_ka4!=OL_R<<BH?N$>=m`?Gl0GWeKB2?bUY#0W8F762LEfTol#Ia!Iq5uw
zbf6fhI-K;8!0tLJW!qT=G!9~V*YuVS?b|1ewHqbz=3vmfGrUR|GT!3hJwS(jY9p=R
z?WD2hkg>w3##+zQDy&x(*MZ-Gm*y?M%3$*Txhp$%sNhiI%9Q_p9mwzM;QtaJhyM;!
zPBliW;vOGmt%8?2pvzNPttLo97dQUF(kE&dZc}tte9dS2xgpMzYxjP~m<+n!N<r~;
z*S3${*9Bj;JKMrq$ylGX!*YB<9fuCTy(Y0i59HOoEF-EE@Lpu8dnlhKT7@Z1%FpY8
z;>7;bM3EvYPi1VMTBn7d3^S|+s`Vk&?Wh399VJ|ijY&KFTMMta6)o7`H-LH^`<;}m
zj0Ja}g%Ww%DB!7W<C$v+<SX%V?13sc_8)h6wH6hnmOMVLJ~4tEtB3x2_NpjnJAday
zG!-qV=iMIH8G~1@%w(vD8d`4I{3-kj6(3P^eTF7YAo);L<xGtl{@hf$F3pvS8|f-B
zvSc&(u<5?=`@<Aev{~JBvRfO=m~OrN>|_pshmQ<v^-$32G_y^Rs5biPKMebN(gF<M
zkH`!ftD{Tln>XCdS~z2)yZy-p0%~1PUEAlYj#b4@yIJpP;Hz;f5|iy(Z?c~j84pp%
zbvcX=0sQJ1$8C{(_BBA=q1~vxM;(8fvFbW*P{XGqHRW;QmXJa9e)f00ItqGw-l^TG
zf+mmN=5!slgcLnqb+-%(Quow7589%Hc}1gWeajNm>h>O3Tvfxiwv%^gmI~+}pXa%`
z+!6@?E5AIg)G$HJSklUvgj1gEsfX(<q2X(bq@kxOX37{mZ%LHF(z#AQ#yd;c`YvnJ
zfBq^s)4CFPw_O6qOjPxh9$7*@^YW39qssV5&L%`BR1}w9CEHfSTEflSeN8*IDj{3)
zQS~ezA<Q`Zv1!b~5=I#Gr~#TH^3&~@_#^mH@j5yv^IF2-#<I<Rd<w|S5t!rM!GnS0
zsm{;e0$3H~tiB#4VfU+LM)nK`b_$!M6bAxGn##b(e0f|fIW3o1$%+wk7W*XR00zIl
z+&LC2i#{33(mFI|)L;{_`gV~3krSDPk)hI<e=erI#B+sln-p2T)Mf#@3(qe%CQ0Iv
zx2=AW!HW!5FX_fAWef0~4094J7f1Ev)b&h0^Nd)-b90{q%wb^_x9k!W!z9<ex+Cgy
z3<DDD-u(<SxKnU8>tmt_x+txlHcXvm)V!bg>CA5i-Vf8acPI+upTECaK3|??m>o6^
zcXv01xBR&`ocaWjHIr}nE5{r|?-q%9vDgGcrO&<ee<y&~;-(d!_0KW>osh6OA#4KG
zcjn`dUgXEynE~Ql;tLE<JHycN0Ar{o9!^|tT94cxJg+8PTVy=l(0TpNHzVla$&@{@
zix-DN41@BVmKjTP!;Lph*Yp?S5rZP@kj8#pY%i=b96DOBbQc)HllY^1+jw{|;^y&$
z6NOB;z-u5MEoKOZ^d1-)>2qTw_v#|GjTr@JQaz%Q44~`lN~H7^F4SWA<?SKHibH&y
zEI(Nc0PN%FP10Pb$<Qe%_hQ504z8ZEXnk0AE6E;h;>6Elnx$77*|AHqGC-JFAH=ti
z;y1nE#BTw%{8dhz_{vf4!@@Z|=&sBT7p&mKZ2`IYg#%nD&5$^sB&Y{B+v<d>{&J#E
z@i{fpbspqpa+>bR(S`155ly`fT<F1l$(icLi+r{@y^8v}pco(jGZDG4B=eS?!$v;r
z=o1-^Y0!a!vc<z@2f1-ZYNN0)MF2?=x9{uv>cBdi+-H(XYd)L|toTB#<@?7g29bg~
zz*&2t)|hu4Ub*S`?YFlOlK(KO|0|^f^#%9Dsst}~8$GC5yf2JGO>d($eCQx25vwC=
zzaACTy1WWj{=XOXHx4P%Vb9Z7EADssu+v4Bdd)`+(}o&Tn|o=%?VY;woS*>ixBpY)
zJ}r)U>ol8{*0?Z?l2}#rQvkbijdkwcki@b{8@<(2G;l3WxiQxuh|cBr3vstJ@>~k}
zth<E<(N$MV$qhnyv$JD#QePGa=CR=^od!2{lIvIogwZh|*iu<n9;Y2s<|E|S^pPXg
zK7yi{l5O|m&pi@aY^4u>lBB^A7KcoQ-D2n$+1JGUo{R&0<fwmS8qglSWvzcHj>C0d
z>iwn^@Sp%i#mATi$M;uhc56u@8|Toi15_n^?@!<V=@1QClb-aYGNjOpPiDbAR2i3!
z`Q(1hq`~aW`~T{W$zTZ&&EEB+3U2L*WZU*<ZEnnmPd(alC@{)1vH(&*t-n)E4SUuV
zDk^TLLjZ$gb}Ksxm#XW}?n$JeQSiqIaw8qmjz>S>T_GWNd(*ycL+W^i81H2B(gFWo
z8;Svw0!kVGyfbd0iH4#J3%1g_pgNx`-o~wnRT^0-=?PkxlUjRcenb~m2QH9~N+{vF
z=SMv}inUQD>-}(QiykbB%sJdwQ^xm|(uJlUs7OvfKVH?N4{l~DwuJ^N=)H-%@RBnP
zs|-9#mDvp;Bsl0@pSda)J~Rlmen3M?^!*A^D<imQTb}aINDXx(S+{U?(6GS#2xr_i
zW2ne6@)uK}U^|7mF=L2^VWjGk)-`VYVJW2}GDX2VoNgO#f1u$-D{YI#eP%GZAvHE9
zUmaa#>~G4Prs4OO;o@iBnL~iHMP9D11~Ro}MRfn8;<|Xx!>nWiwok3+zI;Oin|q0?
z8#A>rF^tP#w?07ay~*m9j~ZB&{I;C<qlqs^o>Tnl0fayJMd&ta;6yS#TX{kqolMMY
ze4H%d%!zkl|88qw-rgC#ZEw^t|NRBNiZ^R|Y2SjLnFc<#W$-TVRlysE$76cdTR~f2
zYHn+RI=<~y>gelNL^f|5%OqPXz}35?h<*yPc6@sL`ZyW?Zteb5=wSsCHfL4zX4UX^
zvy^!hryPELBl7#Cw-xMhB6%47Qbn2E%zK+cBrzyYt7c%A6*%vTJswrAg6bNl&YdJg
z(f&O3SS8g88Wkhhw?!#q{LY`>Yyt$)@WkIc)LBd5TVxIXOIN~22ZO>Aw0Ln>*}eaQ
zo>>C<-OM@tZUrPnE9jG+9B88^U;6rhCCDmB@p)b(V`w{5p3ntm<k5Vy(#y7%v!0Gt
zGZrLN_`X^&C%woJeDQ!gJRjgy?Dm$~8CfiF|6Z$CHqBU6Dm!q;3V?m8L&EWbH2#fg
zD;`Q8V`v!9Wyq8fP|o_UA{iv{vBLY13aeiX)e?q?>ZAn}21z_%NQt9Gnq9nsWIv<i
z*rQB$iUr&%rSOEyh~lUPd_I}d&9G!)s<l|_DgOfi0RR6Cmv=bTe-y{<olW*$*Szkv
z*Y{jBL<totqeWz7L_-mgR6-F7p_Gw~hBEHSDEg%`%Sc%bscbTT{yoomKF>LSeBS5v
zYG*#_B(p^bz5blAkY4MfQx<2hRoyXznje8_%(n#4PpCMcdZw2yvUkg-&>>TZ&}9&L
zypbQzerPCtIon6?)T<ZkR5OJs&-X8NPHw=o#tzxH83Xi6naaCdp(YSx(Rdd&aHHa;
z`m<x!gY>-zdGbk(#vs6OKdWbq1BWxcVuI<z^g|D5+FIhqAlUroK?e^z=8RT^5qG}P
z1vY1ivV<6cO7M(AR{$&S)i7T^+4hreP<g9AwapMRLQNRX@UUS18A;wA%inZA=E;w*
z^bFx0bHCQ9K_;vzE0hQhouKzHonkz5+W^=te4HwOGNMw@$V+keDY~K6_{*Cd24E*N
zqF^u2h<>p?@jm-!=vkbyLae9s;kB0h?w1!BQ0VdNpS=Nd^nUX+ozmZW&~f9|?rwet
z+!4LqR5opa{=!{t<-C_33=Ldh3yfW(e>Ob1{JUe3UOwyK6f#T&ds1X(pUxV+Aw0yq
zUwwr>+4ey1)L|-EJmxKGlv<-N?;X-K%U+|42lMe<`$>Us10I{Jx31A2ZV>y)D9(sY
zI<fyA2U9@%x4|p!@-@2p0q^DgCzvqDezW1knl1#F+>GugF<{R7pX!glG2`<9=4{(!
zUEm8)J6C;^0Zk{=mzx7w(RI(#_D?FhklqxR)V{v&$;|y%(}dWObH|D3QY1rlarQB#
zW=6!u_^0+=92gN}llsS<3>`K%1z9dLp@8avIkze<<c+>>RL@9;ccxYDg2$NA@$t<E
zp2&lbOcwg89d)3mv#!|GhXt+kt=2RqdC@&sGlsQ98+!e_GoQq<q6p7Q%Ax!G*nKLi
zfPr5d)_BcYmmArz+xmn5<39p8>`>$r5UB;f<VU^Rl{ru&GQGQMrw|IoQ0)wtG~s2(
zSy|&^PBe~`@-BZbj19G^0YMiuf%nN!SdcR}mYNxoe)x+b=e`Za-cp+2kUfhtnj6q?
zOMYH~mKd(37{ui^YC!MaQ!WA8e0ashXGB#%0;Ts-#(tgC03Qc;ZP!Qq=)18sI#xmo
zDb{0`4sO?gNX5UGUA_w7Ih8JzY+D)htrIRhMOp9fYGka`5W=Se=Oh;$<*;pSe>c0X
z1{A59rhQEj#sGywp|n(abQLri-eIQ!NvUph>y4rq@g`=mVO#+xr@48U<267x?l?*E
z#YU7~*drz9s)XK=WAAqS&;YgPxrQDQ;+R$(`FC57G8)f!yR`*r!tsoiT@T$Q(c?vZ
zmB%qvJn$v(*A0>u2v+scqz_1=cg6#&qdX+c<KN=&PgomT>Kt2yV`P!-zG;kXl{&`W
zYHm+7)`9<;P9C~6D2H>uyR*xWYU0KJ0>lD#kfBJ};Fd9;0-Ak1*>_G<8^1|jPGMEh
zh1+9p3OBbZ;?ZmO>VH1d!OyI6m#W1n5d7*9*MA90=ws%hoPCFk1vdu=HyBdkHQ#Is
zPrEYK2-2^(I_jcdC5<8Ev>tpYGaQW<SH)N9z3QGnb+O*{=KS1{K3om@{B6%ZHLT}9
z`oh+Yf_hDw<6ZuSkS(E>aW;vBj`wXJT)am?U!IzOa-zoIU~~Y5%GFV#Uts#ra|*uB
zR_%`LGyxXbZ70t?)<9Ae@4lq#6!f^k6RebD2ENUPNo~oRn7`L4{-PEIKMkCmWbw6t
z&ZdTs_MnBv3B_LTVs-Ii;;UDWg#ec1hn$$Jv@qX^^~zut8TAysH+zo&=!#~b`;-=@
zh93)1nA65%a-Vov?$97fXF9%fObdB-wf?BL)5L!PrGYfCgwq`v2e;>F;o)C5@&=qq
z7*g<Yt07v#->;00$N067^OK%)7gYsmC)u~Zm$CvyF8ao+G))YSmu1gbRX{IRKIP?I
zR&d2P<XDoC2L95QV`eUr#Xs#Yj34<}LDk><o%>fvxM!n%+pjy~==|g8n-n)I*!t+m
z;Y}H8_`+4FJc>&gcb{O2%h0oeE#Yf$P*fGeeh5?FvGJmbf_m@iX-jw`{U&1coH8nz
zy6iq~#EKX1U9F_#Si;e=<Q<9qirC#mF1qczM3;Ld`z_VX5^l;jI+_?MpsnZtwW9Ag
z{ib|gD$55NoW3bYzMUb5CO&U$b?rLn{^emu%-m?u?PT&$omU36q3dMsTr(khW~ylO
zcYs&qkzaecB{6-6<rVs_AtH8<#rHGE0XzzKDbOflxYKDrYlHePVsovnzWOWy?w=Ss
z7cPpRd~<#W_3i}mwL0j2{00I}kdEEB$|r;oCg<N3rA-lR5yNfS8WtdVdduRDH~h%J
zBr>wOV48T|#5d=-(;UhgD6h62-+)~_rD6wIX9zW-t3)uu45mXmIi5Y@M1keBUF=_`
ziEE>IZ|6%*;ek>6^Upijus7ea#MXJ5ux1=^82w=aYRj4Sv0It(OVN?rA1_Z4dz%GV
zvPdRie`8FfER6x#I@5RN-k2l=pBemncib3Kb8i;)9a*M3t)3n$zA!=1LM~F2>WpB!
z9c!nV)&hOHNk%5V>krY@{QAr$0VAmY@#5~buo*hF;fAp1-El(6$?obGA46!Qja10#
zP13_Y@GfV?jS=H?IoiF~2Jqy1^M}^Q<Mdk%A-A{1{~)9l$0K&C8-SH`)4xA2zSAYf
zZhDuLe<S*TEN;z9)(5@Z7R%p<hv`gR*3F_EqXhHOH@*i~^q|JJGvti<7kc9Uu;lc_
zVWMBZu+H6I4?e%OxGPxli7s>~hVAO+A;NkN!+i&-pe+*i-}aeyy4Y!>jY8x>B6(cO
z!_AcnZ$6Y!wI}|ge-$5g3fT6Q@V)&-R;Y^t4?|M#eK2aEd$3dgD^&YJ2xxZP_uWN-
zC{!$TQhG*j<wL1`Vgtl4-<j-9A9ca<$COQ&bw1rrp7TwV=V#)5W&7+!H(i*}-hALM
zR}3N88t?IZrJtCz5W2MSI~k7Dx_sQcyNEdTD1G$Tct0UCU;MEzgbWcsbQUz`o)VcM
z)Rhp8&qVemy_Q;LGDwBmG>!bD6C84byjIUX6ESbDGTUqEfG-FA-vXtP2xuUy{7W1l
z!gjbtbGT~5UIp(Vq%;$5nY=~w<zI+YSLT~h30m;jENQWs?=7L~GBISB^p$vDVO*K~
zQWH*J`I_F*_nw%^SYm$WKS=yhtCJI3)qs8X65eKYv=Im1?lcV!9wOdeDPEc+G$8*2
zJvA3Qh}6i7g1tGz#0A%vhHG)^;OKq+oOVqYap-bTa^L(2@qNIeOumBz|LN_a7`1*R
z79!_rM<c!w%jYjznk$h&tTC?e%3=@E=-2r7ukH^*cgS(Z@U$Ad)n-3DwXL5>`|;KA
zyu=t0E?up%*r^J7KSpdfH4PAvzeI$dn~W2!u0o#z^i*MDw9mn&>MOxXvcBnh^AB;E
zOKd(ST?KM$?I{xKLxf?ZeE!eO3Bu-H^BZ+W7073OWiVGgOq6Y~*+b%;B666;LR<or
zq0s!s<XX@u!T)Q+{PzdbgvH;2i)>$&;F0N}#KN85iMO9m=<o;55+wGyUg{nt@HM??
z+OYp8ad22%j`heqv6eaOGx|Xhb{usjC*1l)SQtpTKD_piAUtx<tL{{U_9YCj68u9P
z_tu{{H?u^1;yt6n*Qo%?1$=GW4o?t&JGDx$WULaOP3_)R?^l4pbIKMhLzBc&qcyoV
z^$egEUl!;(CJ)tbYbSQaO%pBqsKsoaOmIW^mWtw8d0^!}=jyk6mdHt6Ex4`50-UKw
zX<j1oz~Jn6^1IVKamgkmUtFFI%+6^_##PF}d(OS%eR2PY;#+~gB6o1We#X{X1{XOn
z%e!=RczTIgo_W~4{V5lePLg6nndM-YKh0e=ca`{4!8RY`z5x_=Jp8`hUlzRLv^G6`
z!vNqFS<tD%5BAAQ-^E8|U@lE@p4X2FPTzT;<<%qrl9O_Ag~w%Jw$#hA*oXxTk{6Ml
zC<KnyDdoe0G7#!*uzyC64HTYkGW{MW0^&~tx%a%6hSI=UnernXU~(*XLAYWg#3!!8
zo+4@R?ba}6{lEp3+?}8Dge5?>#%fHhP#W$oZg%lIwE-&k)eTNoNWr-OVTyLUG~^^*
zYyC*&hm!V(Tdk61L5!<gT3Aa47_I-r`Fs!nS;El;UFG2_x9^n=4Kl!6a$7MXRR|6z
z*zE}CRfLMM%)i_@vhaI8(o}qXzN`PX#SDH|f=k2GvrArbz^GwataxuD_zCSQwfm+5
z^C6nnK|1nqeXg=mV^$n4zIqilz(E4`N#2twx(ZO;6ECZGQVPmi%KGKkd5)|#zn~MY
z2>I;JEr)buA<=Wy;!LR)q=mjCDRL`A;!vrd!v=Xcww>FgUXToefzNrk|Ea*zKb~s7
z+X`UV;4xC{qzj5Y^4#z3NU%53v-LAg2|PUIGyGC0P&b#kyHh|D)OxgMs7uOF`}KYd
zPZJf+%q^*RIOu?j^a4|Ly(&Dbo!+xDpa()xmpJZR(uLo%MDJn}30_^2Xw+=e2Sq{2
z_<~|84CWQcNblDGULnfp$pizCxnok;#%%z31xE}&ZPbFDn}_2cEEs@5x`Q!ao)PSM
z7f;E2q78B9_nR$q8p3Lm&#v>HrtrePL^*bSpY!|7H`+fk0H?g(I8~|zY?)8!2rnYT
zozrITt_|ozfboaj`cVL`K6NhU61w2DEIOo=st1!>hLa9;(ZKXpT8HmmUGVQ~axdti
zK#is=%NtHB&^XP{d+3NR*pUrN_SBFeH0s3BEqvB+=m}_W8|lK#PVLl%Voe};7}x50
zts&uci?BsI8NxsBe&U#*3Sve@K?z4T!DkjLy%7U4EKbLj{@$ekYE1WM$fcV=yG|t0
z;iEPrDo}6erbvLISQ(dT)q36d8NF&k6UcXoY)7g91ebE8nO@!mrzTxs+go+8)UC5^
zDrSV(<yThwbT`3G*7LM2XVu`rvP^m_wU=0X#p3h&i8UOvIx^@cssb`yB==~KNjiVX
zf|s+RH3Td^_m6m>2<i&^_H)@XA<4gBDm}&uY%Wx97qFCvXhr2xVLB()-QttkF<=Sp
zv4=h$`Ya76%sh_1bl}5tvURz3#+G0?d@_*~AP$e7B;OZ$Ab^V=8IyO?X|P*DjPJ6g
z2z-cNk=V^Fgx61RuI*k0I2a=%ICnq*N;{`^u6`E6Sb^tJJNyBdbDnTc<Z#2j_ZRvs
zoQ3hS_5iP33juRqg46{iSb;Z>G3)LnVdT6R7^~1?0WVUc6y)4iiD(_a13H(5F+J~I
zet(ZS+_KB}IaxAIP)~G5RQe0!jnJ?a<wY|n<r;fvAu~cS#EJd&B!rQ9pV_WQYGz<0
z_aeP-;wjO+Z`ZUFw=kA$I~S^U*c2T8iECcd>Y?w;+Im2?R|vaSpQ<|-o50<HFTB5x
zkI^H)P(^Gigz(Oe@`s8m#!$)pG0Xb+H2vD*NYImXAv_a(dLhfj80d1%y@p)>=#{I{
zJ&eigUiI0aY_-M+>|!G(OQcrmQ`T*V-e(En&xOmO_ee&tY2QrNes@MJY0Z7OhC-P6
zac)Q?+Yl1IhIz3@GUL0n@6Sh<gs}G?O=(8l5Uj*L2?m^EMQ5S?HGcNOC^=Sei80Fn
z%Jm&ZmUgq_;GyTf1~tOCYidWFxT*m>v$J7wm*T{;+1ff4mLk}5<dKF>l|D>WNw#Kp
zaG_m?;~wo{5o|FIF|ggK59LOlEh^DGI27h4Hj*WZW`0UV34ir~q<uQ)trjoRW;;o1
z!5cBi`q+eYnjX~i?%@5}$A`?camU<)Vz?Tkcx<b+9=L|T4$ExjN1cl2M~3{w@$uN=
zVb4V>%#@xuB3dYbPg9Cp-X=?+L}0Yd`zk7!+){DyNESr(O+8Qcv`Hen@Lev!C@M5~
z$;ev72%%ERCMg#UX>5&1Pkp|V3I+pF$F@ZY;|r@N24{0*aLZl`y<-|wsH;udJa$P0
zrPEhiGezaF;V!-GD?b%(BvHsab4AhQLGsZ1pX<IjbcN#wBNc{w8I;3cZ^YH(181t5
z<#7+o`0;~l6ab~+8&WG`$RBvU%dbKKuY6lNXvswdakCJ`DoY8>VEnze@}43t7k_t-
zSEPc#>8El*>5}-0BXjES9VNV75Y=XGM+NEuC%V9@6sp$hUlq(#M!&N?w18MDbn1i7
zLa+=nPM3AW7N}reuhIeO4^%k6^kkZKP8P?%gQ0A(Dn3uhjyKWL197(k*4OoNxHQHg
zAy}e@-~OI{nUtjm`P=M$a<9oFi&yF9A9qO@m>%p^DX$NvkDs0p^i;s^myBM~N$Tia
zN51g=xjqcWrUaT$6j4~uEke;p10!|lsa#$L;MLOpp_5q&@Au3kC#Y%Sx23P|!j%m{
zc?-LlVY?ERiqf5>n>F#|c=D&;bB53zRv)=LQyE)|eae+-S|~Nlm>2%Z2;P->FuiqA
z!5e$yk1AZ%!tKmP*Y~|PhNRhV&n7ulaY8v^Sgk+{cgy?q2%`x!oL01-DpbX+<WCPB
zFKXfI)w0uj>r8<yqBdbdZ{7QzINNG#X<_2t+nR>8W?)-HdZlw;4ZBwrx>VCNaV3`V
zIQ5x1aPL>XV!5J*Kf>ji`s+2Yap9MFa)AY8Il1wg>XER|;fVd#r|S4(Yk7ZaECKiK
zybbEHAz{y{jM&x_B<xLD?Dtm%7`IP5RcS`T!cFG~S2@(s-*Abs{Tx6+(A0JZ9uhJ%
zudx%SR51Fel^5S@0B_3G71QTx=ySmH5VcJS?a7tbKdk2-^{M{*C2KX@sxm$$C8dZ?
z%jFRVlxe`SO?x|Ag({}J5{w`nkw>eqC)&$QXkcz*{2_~36*XeQ#d7^+vDap7k2OJq
zTR*r4@0qKh&#3+V3_U62J#2eML5~JZZK=)24=dxP)R51ow8gQH@j}OA2^vh0TNV={
zlu$?Rw)R&qQPjU(>3M$!VBv3hMSOxH7VE2gdOj+I7K|fd%?;~w_G;34QWVf*qx+Wd
zM*_%Pnr1Y9380+u<ng==d8|nZZupVFhmN<rle@M8Jjx6q-^-IjwKqeK4BL5dZ1ClI
zWhMZ(!3Q4B2W9arhv&P&Y)(8MBxju)K)}WCCSD9l(wO(f(eGF|JBoUEnCW#`z<!s2
z{_ghm|1xD-{Nz7Y9Nt+Xt)gcEM$%Xvq%DE-4qd#n*I2ObxB9&Cb#rhz(k>l&PYijN
z6^3=Hm~o=h`&Iv>8CZMQKJGK#hzon)9B4LT#?gEJC1eLPh>_6Ec{nbDjQe*=d|_io
zw;|Iuu?kaoskLw+s!kXsA|^bpi!ozX<J^R`h$$4lvGh9dNC=ff3su#QFe5E#Wy17~
z3EWONzr0W<h#4(yX+opS7!!4vbY#RB@@#Vc=8p>?qiycz)npb7<8s)_?_dn}K_^4v
z4F&MbLqW-EFIIeAUD12yr4jTv)yo!Uulu{UgOrX38?LMb-R{*lf)6SjOtW(Q_#o-~
zFF47LerMcjol6bjjJ32t(P=(ZF$z0S`-lVYkNMe3Xc$80Iju?mQC?IRNVFhWxX_u=
zYH~}70Sx>)v{y5V7wc^Pei1#vjU<W(m7QV$d+S>0EH=ETt9M<F%CrFo{wv>kzD6G)
zjxXHCf*0RLXg=pI;YE0CF*<C!9!eutzvA52-^sAL{>qpi6;9Q8AN;BZ#X?J4;vewh
zX7ZJJCM^M6j$TVOJgo;WFCJQOmE=PkAyPyFSrFYSjJ_0z>%sE}gI3#~^5MpSQFFUZ
zLimjw_Hm_-3KusVlnpiG$J7F9{0={1G&j6eo$9;Jl}Xd-QRVz7ciu*zpg;tx<_9^u
zq^Q8G`p;^Ii2zDW`&{#z6-CxqW*yyb3YeDbN-uQ_;ElVn=1*P4keK*uMZQUa>YBN>
z>WhN-l(e%qwo@Eu1wXg@dQ#wD%vtM?c0$;<Z6L4COA>`8xo%vgP{3PY7iX@DFvkDk
zs238DMsnb3u6?`|;O-Bq2o@2+{3ue<Oot4v%$5$6%;-XO^47|HaZyZ^*ZKLvSq}4^
z?l*^i(*?0B8}cHl8?k-&z@tnDd2Gm@dQ&r^3wQr$rI{QOLm#Eqa%pD;+;(|;K*5AA
zER}6KJp4c$H*+$z_<AeiKh?tYqudm5)I1vL#3G3*#($j+&nw|0{j3YN1{ApYndB;U
zLJDijE1-P+j%0Wqx5*2pK*!S)#=(oyIDSxg(7QzinP|_PUcRINOQ`&F;p?)f@brSS
z{*)>%pDI+FRHA~KlTTr0wjA!<>oH3bCn3otx_5sTb=~jw9oIf1j|YW^&qf%lqX1s3
zS<=vhE1RTCAGj%?mFi-8^mYyWTOO(()}{vz+%Df%trW4ta5VkN4ox(wdB@L|s1M@Q
zu!u(*N?5#yq}8mih0Q)^0-O#Qz)`skTr~p9D8`zc)wZaGB_-O2cWyI;&EBR-g;UCC
zCMka?B~=?ObS7g(w-~`{w#wP~H!3Kt>?z;5qK&iDx}|S+8N)SC?fq=2sz?fTni$s5
zL5=@(wq6M|fnhe*#Dwi?_&X^)S6*BP(@YAhPo$Vav}e@?_rGfBa^Z4X25KWzD{)so
zGlO$6Wlz7Z=l&drTUCavHU^elpDq7n4!tsdBlLa}I&hHpX&Y!ETXz5Gu|F1YDB3B<
zL{1$~EWZCQm|YXQi1#y1lLVYp{+Q@yu8u5;xhwe@>bRw&JalcHZ#z?4#Z4&c2xRW+
zu~{{&SWT|J)&U^sY^BM!O2Xi!Xr|Aqsz^4b#ObKgK%&}u+C7(qe>ji+d}*eP+o#NU
zjJ#<uCCL@_N1B9_ALz9YEfvxF)78b!6dK(7mi@0ZObzWuBhpf~$Rk7V)dkif8Wft{
zYfpKkiY`aTzcrT0Ap7AzNmn1zKyl8$!>LsTT~>v9pE5||)4S3_ZP_%Sk4jsTyOi<2
z8(GIClQ&}j#)_WONE%o*+x6UgtAv*sg34%t!k9eQ#^B(%-k;c$OMb41Qo6F<_wxnt
z7tLz}lQ<1B`T33s-ci7b+b6}#5A))UgQE}Fy8+CKE)6Ni$>Y{g2}3zUF8ujezAyGN
zz;%C>YjuHgSg2=PIbX$wZE<&^j+p{9u4VjGe<_2w|E8qCS7wykp568C9RVrwZF14i
zr103vJ*Q1Mj7TzOjB1f5;HEIQum5WaJe{{K=k)tE`okL<cf^A&Alb@CzF<ZS`?_aL
zxOc74s~?U?XS_5AO?#$Y?`a!RV9PGo#)nIEx2r>DRRZR)v8%r+txN<%yF2+>>5KGv
ze~NwLAv0hcac}uV6GnQd1@Du<MY?`UtNGY7Q<%Md*0*t15I=ghNR8cFq(`NeHyz+J
zg<sY=3akGKV3NDj*YWL3^suF{ckaF>AljTYN^juDt;{rH&z@y^MZ%su^%i4j8-MZe
z*E2q>)zuNKDO;iAky?Ry4P&@8X8f>Jg%^MC<R6K0Sfkf<tyYev7(wYsY|X+49;{Me
z82Rre1Lkd|By3nUga-|t_XaAt@u2kaQ29JYRH{?3kMuW$4<b@Z;cvMxx{3jhHZdVr
z_Jx|Qg9ecEqfKRMBNwV&;UbY4STN-0R<>|g18Dt%V@20Fu|8wo{=EY$jy{NO5bM?l
zxmvRdeREEfy4z@D_ks=0v>Jj5XMOMp(QWh*<itnM;v20@I8ZO|avj5GJ=mA~ZqHEx
zPK@Tu;^}PXL_fLxIpN-VpzFv!bH|7iHOrH#5@NZLBeXK8X^sjuFS^<~;yAJTb7=0a
zT^rDC@2G&#WhzWN)<g>~apJ{poyUPRK6LOt%$>5HW0d-!?erU5m}9}u_2@o7j;|?x
zJKI13ij%{U%TC;wz39K_x1M4%akNb7qZF`}mr@Hg<iX-UJoLlkf>_+kN^TOQfIxfc
zaXM_k9SNGtVp_s@ebzAPV}mZ#XW9Lm3*^P^wKpFNUl75l7Y=dFXLMosNLj^D6Cb{x
z_URg$62-CzfoU02UHGIE^cQpau`n@lmiderIuT{0aHjS8{WngGCj_v1Q|rS)X$h23
zHt>sWC&S=m<@bGVg2*^)+F#c%iH}yiLc~hQ@G*6nF>c?we|{1cxmzWT=08V=C6mYy
z`6E!q`1tz0yaQodDrE88?YfxENHSR8wKON)7C~D5<%{zpa`?xgeu9363{SXc`2T$o
zMdg~AD+O!v=x%r_swb8VZnY7~8fIc>b<6rmk(wexLTuOW95NiH@FfVAi(_Y5)mK)J
zb$)cnyiwmm29`~n^ye0mI27b`OF35=PaKdq_nJ)?BCnercsC-2eLBqp4dW{Kk>@y%
zjEgQDieWF0&XYlX{5jubp@zY~%+fE=bs-{X_nLvJ99Gy(g-Tv0A<%7SiY+KG(9P4K
zrz4LSNxs~7M%2-kT6bRNBLx~AHRPXaD6I3|iCh*fO>Ca;T9Qqm!eo(4a)q`c{to~E
z|Njh^cR1B;7{~3IaS)D(V{gZ?=ef_ZA|s*@*()OnMY5C7peQAylrkC;5`GUEC8Q`C
zZ?=%V%Ix*;ecjjd$9-MT=ll7#ZSUD`@m50L$G%_}9MvIt+9>I=h9tuNbM7Z5DI<&c
zIL%b52DlnF2(ubUq15#+Kd#2AptC8ohpw7wf-@!H4w)j24hS>Qs!J15a@NGlZ67Uo
zdb?%hfq@Jfq)FRa4J9J_56hM`ceDYK%8m&s$s*_O`y1xBiRh-4Vn)D-4tVYz8l+>B
zL*LL!T*zG_veqQ07isDNb@0T=bKP=?>)~upW+V{>Mc?mvaZMkz64`6B!{t#iUYVUD
zK}462r79#&8bFZP3&D~#c_ga)-%7rT3QBB0{X<lP44O4K_Cgy4q&pFLPH$ETnZ2du
ze5?uZEBm>=&p8EDM{?y2Ggd@@k~g~dwg4#V{b&<Aqk!7drY>JNB9Hpi{`L<TQlR-{
zabf~xckbgBX-JYqM=OLc*WIT;=dX>P!Ef>?N4ZF0Y*Gq!Myop~FHpcTYu$osB9ET3
z7Q9%>kU&=P*OkO2si5j(CqYS;Lt)R0AJ!2GC?ny*-~&S{h&W6<c%LVWbh7QtG&@9)
zr5)FGB?=X!ItxktH)K%p9y;NzP&`_3N?fQ^qQaYJ(($yXrBUTIb~U%4y=eK)Hl>q^
z3ex_B6r!ONYN#w0Aa>$VAd%KP-~$Cp&$*cEY)hc{bx$uHH4db8qwP?38U-xgbp_n0
z7Dw$-)F<^%nNjh2KrB^{0$KK-Pf3OnP<&8-Q4AYBs>b{3NsR$Scj=09sfZ!`sd6ov
zQ#)Aq?5ohcivUcxB&zMa2%?&n%1a&oi^<reDV4|o^!N{4{&9OB!f^6@FK#SjV|ekz
zx9Mb<6@U9!$QO@%Ethx*dls<Pedfig?S?QoJ|Hn}FMvKHabk+-Z!A6ZlujhQA^4_F
z*E9y~MM6^{6XEl}F#8cc_8p1=sKs*;=^yf<>*Y@!Vhks+b)0*7Ymz?571?wNvhkor
zR@t(uj&bbIH*TTGcY1JeBv+#_n;Ru8;RP-`Phbz<=sQI5>cRBwmLAGgPLwM#qcvRr
z3yb;Yp2F^_3(_0rqMinOP}kSzG>_g+VV9;^D-XQX0n(Fw=0p-38XH1wo-Q+3ahATV
z7KaWLg&ue?5Ws@=+iqP9aGl3wwLejN0<<9t<=uA}VnW)3Cm-B6wurq^x_X1*y%uOX
z9W=a|$%vR%exFuVTE;s08uOZnT5#*Bj^e#22DEw|Ytq@jip3=^buZu6gv{ug>5?1t
zC^qYe)DeY0SfrHNgH%>cz)tg52@cXB>)IK`pLXk5B<bMz$ruet|M@fEnFAdfe66sU
zb7K=bGAk0Dx2z7+L*1TntF&lEbwc&r;x^Wu<HXK*QXL8sY?tO=(;_#GHE7eIK`4gl
zbn%=T{PQsKdiRhPJ?EtL{*p+Gd>z<iqr=qThNugJY85RC{c`LMHcW>ePb5A`+aN(+
zcVNfk5n9A)xieN`&wxtqoD~{MAwjmc?Fx@79iq-3k)`>`h~#a~KS>iH!M!>grib}-
zs8}qN?tDBmDovruFDh4si(Zn)SLErDbn_)A9GMk;WLDWQGF64L#5Y&QKGP$aw~ZRp
z!t7`$@au=%F(Ra<Clx&{U_d(VGDibNIFP2`M9k-lL>L)$v-p|Hh(?Fn|0)=Bq0?I&
z#u`K-FwasrOtYBKnf&}~Q61bUL%8W6TfGVlsvM&-H87)<C%1jSvhtvOL&ZH*2^E++
zIQS)*jTOoHWn_XUFFGGoWHy(h4D<P7*(YMy5JUb)m-f$mC^sm%Z?B*-cs>j-&F9;L
zAmf!!hA%(*!2e8Vp+pJ1B(JhkK69Xfvh2-LenI5Lw)%R;ObMKBMJwJ%T&ShSWm#zw
zkHm-H;_B8F!TP~-%Yqqhlz&=ab^FIYbl$-Dwl$^*9S^<K`?z^f03lDbV@(7ZeD~~M
zxUC3Rf0~^FYhJ|cX!bpPpBTE$B-Tv6stEnWG7go8d<dxxR}0w?kk6*<5#0hspdVL}
z8Nl<S)=u-lz#MVZ<+ti<(ya)!g4V`1r2@#Zc-)9-Q3B;8;zN|hlt91mJ!h~Z9w{A$
z<pozMRG=$-NiJ6ja7oXeypY_7&M@J*g1<|ntA<-vZw-{8PT7H9iAx08XPl02_mxFb
z%eaII9u;84ezj8tM3LX{OOnKv98yv1y4u1?1k;a&N$q#V(E9XPIVDE{S(|hXIXvH;
zC%bX<)f13A`-Hf)vJ(0hxg{2JS{3?t-rifD5J$3Uy$jD@E2GRY-CWX95(J;VXnqqf
ziCP_61b6U6R9Um{{ts6*s5RPFa<Y{|kJmGU!dr>x<AD#c8yD5#>AQuNiA&N5eR%lY
z!bufXcJui6^=W``M*Po}1{tJgGxK-7OBKB=c@Zj3)dD9^E?%Qwvgn?zT|3%GLiaDo
z)V+SM4f706T2(u8h@mw$S4NM7lGtpY9ShWjifiAy;<w~c%BgD~i={~DW!dNQD}wrv
zq-^DwGN6F+gJc_yd{IT(j9u3KZw+90q`kW`O%XveoT|4_MWlF)f)6DFQ>spO3cC{e
z_fve?CW(m3L~WHH#_w|YU%`hWdnMG^v-!4}Sp{Wn=zCOaQJ^9+PT$Hy3Gtmz5+{}@
zqRYV_qfPrMAoN=Fz|8I)g=8zf2&~H?Qpy8~Q_fT{@Lt$!)}V;yrUJ0dy)vltNqxtM
z1}b1RZZd_Oib#-{6n#Tb5?S2I@vi?zh4Z5&hM6)7$o*=LP24^Lx}bW9-&M>AG}99(
zRh;suzI{twCPWymMXR5PCK$oA(7tiWPFa-vcpB&ak01S+?7=HA8G&^|^W==b43d7$
zXYRiH?@r6UGWPpKh1R99>fkvkbRuXRY=IqVliTuh(x`CE=_Bg*kwl*6|J?cR(4+4a
z@08@#cIUZqY_I#p(HtxP6%~sO%<j0gr)3WX!bL~Rs}B-TgxQpsoy9y>O*}AM=0ky=
z?q6T8UK2(4)UHiLocw{!>EzD4tpTj$SOo+=5Jn4BlMhQZcQK8nH|xX606A!$QTity
zeQ}O>aaZ^g`A&hCHa{;wxB;g@F$kc6nA>IQIzwd7AFcGSjmfa-O;&B~;X~qYUYdMo
z8z(<<>VI^^&k!_@gzYcA#)Iye%?<P~{vuO4UM_22H2}}mg7dTq+$cF1FE)E<ifkrp
zz97(`53I{>?uAqi^rdaRmN|Bc>|3{}XtAgVdqgnR6GN=1-2XO?+B`|VZjAAaDd<6H
z^)Y>mekQcj_(~|t`4^e!O{nS)(uMuChA{@>45(eY$m{Fbaq<Uy-}eJAbYN9<$F_8r
z|2<75A(AGe<TjtzL(Mcg5Is{HWTp2H>v=UExAt?0>>u#<mf2x#2x@T~a!cOCl-kdG
z2{im5tISXZ31wQ~_^?dA%=9m|_95DZrM#b<h0UAnVbKEb{g;lvh+M_WZH5Czi$9Tr
ziymF>2+)MtWasRwtjpL+V+IrN>Gx#SoXsNf9t}|E_flY8UBDbWPaF75H<8l`jk!a*
z8t`FfmHoKe9Cm7=&_(*pbF#5zO!?=>>Ja+i$Y7(#Z;VE+{1SE81S|Wq@VZ}E9mrWv
zLb8V^vDCZ$Y`ysB*k@kecj&qryb>dJ4fRZ5LqfP-ujdFm#WCU+!l?%C_y{RgiE&Ih
zwS92p%3DnEny^7r1_=%iJ!i@88pT9xi~@e(d$2<5;`BUD5<HNa^i66T!K{QDUyBU%
zVgbRuz2nzaftLS8(;LPS?2BWBvv7JprsqGEoGh#gUlrOvIwTKck@vnnHP`=+ZJVZH
z9*>By;r1oNNq-o-cI0Yz{OV6k-{OsozZMbZ|4Y{YD?5xGS~Esb?!%bD^WIC$*HwVF
zszb`gbQt^BpWu;cKZ;djH@_P-D8r=1FF}{gVa&L4+dkA~9DCn49OpT!1R)iH5;M#r
z*d(VieZ~1-7^49f)ks1KE<cG*$#^t^={ZJ{c^jv&ZCQpJZ;va&tK2`dv0<ZF!|^S)
zrxG)mc~yQ*e}Muhy!v^z)MpF}-FvF^Yt<aqupqkSI3W*{tx?l?iQ|}u5WSaV{Q|b_
zr;O7k$%74VP4&5s3Cy|v*t4s;OV|b*dzg2U9OOq2i!qWXG4oYKjsLogg^B0QeEcd4
z7II~DS4O5VQn~PZ+}%}7x=P4AN<$WUlbnj^YJX$1J_>>_Fa5y=E8_*7a%3Q~%IW4*
z^DLId!rr4-ypBCT=K4HxOByoHrg>J;FJR9z&drQ1ZesTT#d;6=Nkdk^hKRJuB32ny
zvKVl72cx;Ux$<~G3Vsvcrd@orgy|;#@?$EXK@rc2JpNisL9g(B-euwn7QD13*DFbf
zzIQcoZ*)k4P2>sPiQ!djz9v4#`6E3_AFB<Uvy=oMDgE*T*dNR^FM0CiBS!RU?Y5fi
zX9+0Qv|tYJTE{#e^`yJ+`u2}QD}p$02{4XOG1A9vVM{q469&_)NG-deLU}_R97lKJ
z{$Aa|7&PT;3y$wW+IG}2nOov;zVzBwYY7cnUyrb~;Ne2fMaAFW8;XNnbkH#^1v;c$
znJN345r=#x!?y7A1laC7TKjF+m&6s#6a60XASQBM@xf98aLIp|O)q0ap}(inUxxD`
zwwTrY!BYe<A2}u;{frs88YZ&2h43TRn-2LUW&{W!H@}vdVnrDSzLn%$LB!*4z1*)v
zfCLiPfUol&#H?~Do3bv1ICBPW;bjPLB!zyT9V-_~%*^40ED==s+wNw*CIOl^KP44x
zb0giPUbcBPF(i2QS&X(j0j`{_Q|Y_SgIEjg@edmbC@1cRY3L&YFbs;fGP&`g^D>f6
zF()JtsVU(?KA$*5F-CkCw&X`IJfB(a)s{kYF}1g7%fvxKm1pIvuOOOZ<~yb>BZF-0
z-CuTxNx<}8v&*zkg^;1p`o?)pIW%-TyHq<|5(LsJXu73E5T25Be8f`$y(^^G_o<bF
zr{v#yo!z1+a&}<Fq(lh?Uazt>GnauNz8O)%VFF^}Jv8}!Qw0@C8^_tI%7Mb=`IE;#
zizD5{jG}gVRTN#(#<3Kw0Iz5Z@>&BWkxq$@UyU6J@qLi#f2*Pl;-l-uIXt_bv>hfQ
z5~POwGECpKlo7$jNZ-r7MFut42UPD1R7Y3T`QoYPNN}Ov-4BbBLp&>IHJT_IXq|=a
z?&1Y?@E<PtMv~jj-%0-isY4nlk>+I5*LF=XzTrA2*sh4;r=DH3)Y3$KF<Gi<+B#tQ
zpu}pzL>aYay}MbjsfirPRaM~~df>O*HT5`01sM&ox#@n=KscU}Ywu1NLbao!@UlG-
z*=@!yF41bBIwNlaSHf=I#b$hSsU;$=j>gvR7BwWllvzgengZO_*=r*6L^QcqVHP8h
zkdNFsy4ufFC}m^mJh?(dL;=o}4H+WxG8nX<Z7~9{mOt0M>tQif!I|aX70`!xVjORr
zF>pO|OSShRBKqOq#Q%h4Pz8RfC~?OaB3Pr2XBMcS&0+QG2}^NQqabC-L^T1SExqg)
zV#?@;w9LGZ(LS_!CbsFhr3oOzrV>R*MI@G2CmFh%x2Kt0@Hi<Gh;D3)2;c4b)iySP
z2FZ-5w(#ECQm-*gHZ#<YE6O6-<E3@QYx5Yr#@>FsmobDHaFm>wkwP;n(<MU<-^k@w
zXHxio7{SkAd5iF336yX<G0uc%om@LXunRXcf`%fY1D2iy#Ktq~8HVU#+A3#^Qci`#
z%v}*N9{W+k$>``gZB}4-By#;X7Zt+oJv(@aLdfeySo9+e4!CB*eC<#q1^8vuI5_nA
z5!Rm*=e5BF?AlN7Yzzaa3u>o-&)`9J8Rs~{M!CV=yu8QD9w3EgyZ@;rCvqh%I!T_u
zLDX1K*V#NW49TSb{LRCHn5|FHEkDMA*B8OULj{J=&|5m%7eI&j>#THd)ZifXy;#)9
zGXr4j)eiZWvw?lLX3$_Q#z9I{n2J-6K3sdX)_2Hl5p%OW^O^BH4odkflPb3Kpkgq7
zn4UC(1t!p6_Orr4bQN{BLtPIh&-RHtovy>q5)4<%L~y`T@N44X8C__bHy(Y|-%Hlc
zlze`Cg&T6sEIq7SbYN#reTw<ZI62zuL{0P;ZZMB`kC?&h06ivj;iTyT*(siRuA!Y9
zTIAk7>O7+jVqF%$2qLTGlD@*!`3`QN(Kwap{GS%MncS1uNL(j}<fS?bjc~&$3n&q_
z&;n(P^xV5?+vJeu)7R@calljBYTMMH2`_3En5yp4z-DWr$DAz=BFBD}Z)<77<mLhO
zmmYLr2s)qR%W>em&h7oURs%|n+v)098NjgVgBHIi54h;}<W!I~;5=^oL1qyn^k&)j
zsh9G=0s2N0rY?1OcI)}+^D4~nF2|11!I~F%la<I#?&{DO0B`hPv491uywY!WJ~-mS
zb!mG;4R(@-HSxx5z<$qGAY_ye*7vKx?>lNBHI2iT`q;tY6oaty=e>Y);2n8yqz265
zEo~N|9PrFy+(31NAEJ*ktS&8)ptIuO9%~^kP+L6abe2sJa`zKy+8>j^dsD?FB#;}@
zh3~jMx5h)4UiX`3e-eE3&69d-j{|wRz;kv_h2ZY?%H2pJ2_lcV#td5Uzy-eRW3Lp2
zq4MP_eHtwZ7!F)yFtp)?v%G-Y-!1|pbGXI&AF2?v%I|C8#Rs@?wehG}Q5e`?O_*v{
z1+Gt4y~e3~VO5bqU-z*XsBF}X)4fy$jkFzS3dRqnk=d-`MFi017Ba?HslrD|mljc0
zL10)I!kIo4hiJYG0f#14kiD%^74M6O*gJk~cWNY{vbVWv?LSpW>dhLf=@)`RxxmVM
zy^=uj6ue=}P6EkXHp|y8!f;x)WA^Z0DbPt4^=P#qLB_8THLg_=h&a;pj#fejV)MA0
zUfd-?At5aEX@Mvlt8wa~9+HK=JrP1-jA|gTJR*6nLJU^?A{xJ)lY{!gt(TffYM^*w
zV*|1XfFEFveOxFHF2!06G=l2j6X+;-IYu0sO#=w`YZc(2$Dftx7IjEhQfII{ApzbS
zJwBi76(K!p{NC484Y(Q@aD2*967E@7w#7YAf_kifsLERtzWlkDXJH}*Ny&#Lj7})S
ze-B0~hmUB%QRX<Y9tCO0zu>?XOs4|wg$ChPuG(Nx>)&~tMFxTyFLt{7sKBYiIwyz1
zbs$x+hCBR=43OyV2Med~?#s}J1n264=DGVnOfqHRZT@;sZ;%QsXHI%oweIGEr}%$!
zYH|=))p9<YQ3a;zPv)Ip)(17G9-4=*<RH87^4c#uWjGf5zN}}TAq-1xo!$|Vhm@A<
z>J|=4z?#Y+V5UWeV^Nji3a;`nC#+<dz^w?iK_6#zMF9*1^uJTW<zY`2&q!gqJmC8}
zbx7F&Y>Hiep&s&Zw))qxmL6Fs5c~QsVFSRzjZ0cqQXbmw>qSM+NJCJrdi#4z3M^N$
z-B)RlgJ*U31{Y@};VDCLS6mte@Gn%w^Ofb`i+w9S&9FGESFJ?PS5hGDv>hXMP8Ryj
z{>>8l#o&T2%S($k3QYO86%0L+0h+%`p!iAz)^=zfTxz92&0`^czSq+5+dAIHb{!At
ze<j?_cHc4io?<axBL!PSB@iFa4^8YNCD*S|z>f6@1J46V;QqB;=X#76936}7n_VbS
zKF*PEnkoSk+%qkSncR>j8Z2ojN`dY#u2W;a;?PHD_HOau9^f^z{O36Upyp%EK43zC
zK4WL$Nfj1&^iHqOBMl(9Kw3LeP7JIool+0CGeCHkafq@O0R9$>*P#4<c=Ppaf;|%*
z&@wI;%pfv+Dcr8k!VAM+tJ$lC_5a8{i6O5HxX2K5`|;r>2_d+%8MBriyG7QC>AjPA
z%n<a8?k~?+3c}h*=WL_u206^*0mqXP1CXWl$DhB+5668Z{+z4+OExDt9GqLxhof@A
zW}^&yA=b+NFK+%1*>O5a&cRq86y7-*HD&XH_3XS`Ci+7@G5jJqKSvK51cm={?()Qv
zR#Qxw_b*v*pZdD>j4t^6?J_YW;6O0q=B($ZzvSTzexD{2U8p|%zWkUFH_(=vRsNb;
zC)?Lo?IqpU0TqdJu}AzlVI%G>W19UYS+DR0*3O^<ac$WqN#FLsnq7wZ^7a;)X!17U
z_6cpcTRQ7XN@a&?`jc`#Lp$UH_g@*m>eGV!O3r4}5H`pSVe)$wO#?>`9c@!G(t`Ib
zUl%JbvBJ3I*L2rBT6o5>S@7?rCPcKJgvfptkm{Uu?Cqt4Bc*exno63m|4kmvkUa~$
z%0AGSEye&9s!ut7JkkJHiMtLb{xQSQ##+hyL`E?CcWG)%Rs)K}6+M3RF@wiIxueP^
z6D0ArNtafrLvu+-#KB%>$h4L!+DK!8z`(nN4NY}exaT*xf1MeSe@=Oy8XIVKO(e0l
zszIGcP9x5Q1^i}(yPN;8gSelw#nw?Z5dCN3qE^iUAFj6>?EA_At&i>u?aY&atDequ
z;vg%quim$d`o;zE^uEW<E|Z{x-!J$lBOB0Vl^$~X#|`7!_&NSv{)e(9hVCC@gYQWq
z3civ&aF<`g>-B&tL?7@MUYTGAca5jae_eTjR!EpJ^P(yQE9XeBaB_fx<^1!f6?_nK
z`BD~xfhw3>`oys6!U?S>-)58c^22@ubS`_H2p_kjUb1}Rg7fF9>IpdlVE$~*ZlHk(
zKiMzm*41#sQB&D;P7)rj7zG4Gr4ixP%Fo*lcW}V%*mNyuS_m$8IHi-_i7<Ujz~}A_
z9ym!$`#25>@A3qiIDrVyws*2Ui+O=sc=x8s%l)va8oxL#PXsHWySWkX`JgN9h-ihk
z80@`!Lw<um1jnVlZFkuCVJ=Fd?L;gAUiOTcrAQNjg(rR{!BYU5_V&wWmWadM+viiZ
zb%<c=%Q{)sD+qDrjMct_5@2*XBWBT+2=`M6)$YfIpgh{~;zLO(i0P_q<h?<JK_m1m
zi%uADQQ1e_Bc#DRs`0SOPa-f5bv}55i2$c<&c)B&GLSIRG$&%H3SpVHEn_!CA^O{~
zPJ1Oeh#_0OtJ%#>gMbiMJQ4$M2fp9@8S*ehxwlYnN`fcMEm0RS0uX}uPm7H!KyGf-
zX7#QQ(8XHy{B9G6AhxmxN~*hz3wWOJsZI@qKl~^j>Xm@Gl-G_={gff|1yjhg0(B_O
z@c!yNDhcf~C;NwDRbWM}Ka5zU0TEoaH}e;z;D-9`;(r=MP)?}3snw_nDF^&b^*5y9
z-D5w6&zVGUI$t?+W<?9ya7T&wzcRq?-5RaaMTGwxk5>ZdfM;2b^2KpkxRc|(_I`v2
zedgQ-?s>XkEygkvTrUToZQcwn@9q-{FMcA>=>uOn!`GBZdARyCcg8uL2o-->mO=vz
zfWzj{jZzK;P#GSH_QDh4M8c4Y>^np7@%WUl5TgJ_<TIymi^{;$oHp0W4p8fJiC?Qh
z0cO*y?kFBrg0Uhum+%Jwlk1fGs$B{Y&fA3@I;jAKN>+LjN)#x$su#srssN8W&EE}}
z$pJ0pK{0y)1=_~GtR6Y60Nhv2`VTHigWwgr>pp)e&=obyb*n=jK3%)?oIOzz$fph*
zxTQsfy}#8A|M1AeJ?Zr)U)aRq!W3tUg$or@_f3^5?DojBRg#7e4Mm~n@lL9(9~GvL
zCVNRK$imIVufb&nLa;Qzl#t|1g>9{!f-+_q=rgiOWk1Xhqwia*BDJaTg~WJorArFh
zZtWC(59EO>S=D~p3{<#9U;2-7K@!|LINQ5_b3j9I9z9bN1q#^3eqB<R0Jk8Wo@+DA
z&~o*95_cE{VnbiPBaIM%-{<cB9|Lr7rn{lmT8IKOpFJLqUKaypUAE!~t8H@2^G{FR
z>H(r#!Y6z3_CuJ}rucaJ8u_dQZtk2jfLo_c(jf(5m?gp{X1qwwtUT&AK0}5&S{wY~
zuXu=V9X0E{IZfvBtB!D!Aj6(dbIjB-0f>#Fiy=&nk(*3DtY$bHf;=;u9B1)fc+A;<
zVNQCOj7r;#|6Ml#ew!c%&sJWTh`G4%i}okE{N(!e?%kep@DE+k02dF`=ktt?yZ#_2
z9w_jy!tHuXapOUyByM2)=w&J~`hz@FaPqhKQ9Woi;i?(Y=LAodG<GhjL2}|LQ+LNA
zUGV#j`S>Gtcv#stcgTB~?5}ySF=Rmprk9WUI$UOjH@9-=Z#IpRM`$eS{fu=$=u~!Z
zegQLl4&WXM&X^!u|0R9WxT_74Z*u<ISYib60C7N$zvxlxgo-J03c04Sc|!{xr(`?r
zNn(J~9?^8*oh6s9Hw&$}Xu+s_rS64;^w6;{WKWvo0$CMtMm%|=2?CHWK{-GNtbVv<
zTk;aw=ajKazp^I0cJ!t=MbLt|E93oJdMjl5o2;cr@-@J}#`hZO0}T`e#?mEOu95!-
z0096043}ph)?FCJjf(8O_g)X4$5uR-nUzwCvO`Luth|&`(IA92iWW&qLXrO;k*$;!
z6;T=4ky5<Ao-gOVuXFC}zJ3!1?T*5Hdgu#^$T+i&0oIS6(vOBN($8H_Y-2gEiyyYM
zf&Rr6`ajdHpBan((C@X>Uld!Xi*K8{oXRs+=$hKk+5cPfkG|7AUcov+2Tc?IF4~8$
z(Cr-uO*kS~=%UNk5%Fv~sETp^vXZ_+Klp1>zJZw$@u@<xJ!v!u`OX*onO>p4c6$G%
z%##T(&dGO~OVdD^%s-c8$$)#apZ{%cV}=Q<+WYn*Dt<<}ct;d6V0~_hh}n*{NIX%Q
znqo=Cyn}#h7mX1@m~l9{unzvRoblH_YQy2y*{`?WGa~Q_*NpKqR(J<~SL2M)M(k+o
zb&+%?%!TJ0H)pV+nRQW<Us4+%@|YXif|>DC={3FaDhIj`+f=<gqXn_UcNlZ_t-+Bg
z#y2akxFF=&R_^s#6KtAdw@c&JVpn>rb!jpW&h}i_&NI`*y7~V9Vk_3+RRDv%)H_~S
zb+B!AE~4P8eVfTcVOBtNA#8}s4^&ikZc?S-p6`pRdRNzD=k}^sW`zRCziP5G{jmmk
zyF>yV>FgK{z9DgZ(`t7+y7*(PH4y#qV4p8HCzy>Lt`0JZ;MlLG?${sd=#ZvV3bJ#f
zWlOJ6?w}~juJ)bWb4ML1Dsh#Uuk+wLw?JF(S8*s2wYCO_)Ny{i=!Z=MFHYBN&)d%{
zg-u=zZvNZU(QRK&7w6%}gLZ-6KWH-Om+L(7Y_mGNR*wBX872Uoo`78<p|bd5Y{S3X
zUmendy8d701mQ^C6XjVihhsfjh6|bMD2z%{jZ6~;+jP&BKrIDuO?a*3EUM$zv5aVw
zt)duTYdK)?P!W>i9PXn>HSnU4V%|>?$3Y!!VW|zuc+u9jy;hTg;?Fh*BGo0aK>0|K
z?^VIS{;8E?{F+FL++TXiMjB=gVJrG4)sVij*5Zb?7P=Yyf45f4z*e77FW1(9iN}HJ
z7AtK$m2Qxdnvliqu~==3j}+9|ZK{7OK*gq)ml7=$<iYIr>-q6mEi{bjKfTC8gU!si
zZ=9b3Mi|q}<4$X1f_kFoy0i{<FdO$!9w=f#q&oPa0Tqe&zaKvCp^K}zW!tVzD?#>+
zOR?lzDk4vYH;0pYFm;PvW}vCSp{%1X$%clWG~Qd2RtEUqMf^((P=&wXZffKu8iw*i
zoh?QUQOo^!?)*75aLYeGUtB~(_P>`Yfwzsp9jlNNl%kGZzn*^3OQj()qhWq5a3i?h
zbys^G(m>6#(Bfe#4FO`pKJ2=tsJ<pRS|Cq>_F`tDe;O6S7TXqg%+RrSflY364h1&5
zI6pTQYeQem^q4^t&~dxqa{3nv{(N1je5<7e1BRiJD`(7LYH2Q2v3eeIVe$U;3=K5w
zlskAx%^Z7;K=Z#z!TR)gZ|4G4oKz}*TT*C_y!B}<gCZ2X&MUHdm7)Ze!(0_&To!1r
zz3XbcO#>4T59lO&$%8&Ja=_Kj0@pIdKQ3)m$8oP{uL}k;u$ixyl=HPfQSu3w1_?EA
zxlkUB?-4`eq1P_syDgAh)+9<+sUYm`^Bnb80@&z$c`!!L0;*?>%6p&;7WPT;6d!JE
z8Srcj{$-AMmL@KPLPeww5L`YH>+m_h-?;d$Ia+sa_?*S5fV_b32_d)t(T#hx7DTPg
zae2#H<G+D&X!R+WjvAh(k0-Qba(ytv<EwF0nN}HeDQNw8ru2cnkN0et`#v-Lm~9OZ
zjgUf~!wL5mqZh>U?yZqhbHKCdEK1)Yahxo7&R)FunFtPDa3_uey@sk|R+mITTjRyM
zv@}Bex#VxUo&|8?^>KLqT@ZeYN%P0|O%WbCQFhTvbo6AYro<lLM{%r=yzT25Vr%=;
zm%A-Z@%fCbu(%vA{EYqyvdzpAFWAGU3ip{ns5bH3CSfj2c7*C2_M0Qjl5gcrr*8y(
zZfT#eBO5XegpX4<&k+mvH~-vJzX7kD*%G^kS9Q5G;mG`EmT0)zRiC|L41rt6Uc_`U
zgK5JjHcj?f!XsjES0&vTj|<QKQ<r4K+TfjS2EsFhyGs04=L92=I^q-=|9|w7rl$H_
zmT5xiRCq7%J3|y7DX65%{HD*$7X&$VPY{|<8-8Ug8ltdw;L|?OdHVO4R>!-t#tD@^
z=lQ&22Dt1;9RI;LOPA5)n@|oPB?fF>b$t1tj~5M0b8q%c(&y~t6khH9PMrJf=(f&8
zA8emP+zz;p(l3Xr4A{kfB|40pT;Jc;gWnFXnQwoG=_4sld$*87M9S+ErUKl0P>t8*
zR@WY+f8ze}a=rE!A~uF2Jv~+zw86D`xv%@^5A<5h$Jz!6#dJBE;;at#ini%naCOnO
zZPSgFj6W0o9PAfw?bpGq$8al)&|5nFOtVp>&PU?YCtdczVH)ftf{P!XX{7so3^?&8
zp^q5)s$*W~OGCI<VD`jvHN7g{{*xB<1JO3qpRW0h3f<#`)85undbM)5iHT+}v2{nu
zJ%%7Ex~13AdiLC-M?Q+Wfao5g+@8iRJFg9IucB9)wL$cV8wRoGczXy5dg4@MoHmYb
z^=;S5xkY5obClOjcN1fGeTK$(w6S}4`RjN09}|ZkI%mrY_7DdH@|;?&wNNGzh7!ke
z;@KrXEAOK{#B~uZ*$0O;5&nB{yJ84I{9fDC_CukU;11eQWsyrkz)nqlN8wuH%H3k-
z@0=fq%D63|VLcicx?tI`*QK5a+P=0#!=R5?lAF*F5YRy9qX8F{GmQkzxKrFGr=RHi
zX%WV>Lmi>{^WQQ{S_m(9IhVQ3p9q>myQ{<vHMA)VC3pO2C+fXKJkz8Hh^kTc6K3C3
zQGC&pk1P8v;UdlSon_-7v4-+ZZo9rJ`l8mSDY?8Oii6&3xW;}V+O|x~=_ab+DU()9
zlyWEW!95^zVPuF9+x<bdaab9I_f_v|fo?+L$}CUE>OUEa=DxjXt_(`%@a2}(K1(Cj
zr`;^R6aBlJ4GQimK~f_&KG~y>_^7>@n`%5tlvBdWnmLr<^z=!gaotCP!{JW~<Nk5N
z{LGnzO;L(ae0uaLg*rgI73ZlKcsD^z<;qWSjVK`TXKne<tU<!R@1@`wOcO_VDw74>
z6)@h(%v`K7L}>0$&rGkFA$~VJ`MB-9Jd$;_`@#o@iL|~yQ_Y@pM82d?SIt&==xjV?
zm`{EqSU$cLbJ3h9EQW5??0qYT50h`A728J$Zf`x#9?f5bVZE`T^-ejsp4MPC;u|ME
zeCxUXpZ{+no8ztHq0h2-U(4TCk+M36S^l|8-Ae>--EZ-KL9$Re>wAS;d78NN*T%Iv
zX_?^PryS3{B7?Bw;zRTYtMw_+oetG8kiX1!MR#A4LGE5LKldGTglr|dw&+17a{Z@k
zk29z;IMXU)U#T%qxK&afJuzEDN-J)h*10Q<ZEVro)%AW6A9FKnnQYdPCeNp`b7!T%
z>HXYcKI}IUcJ1|nt?{g+jNh%YI0q@b4!J2hJGn%JjI;dbv%*HoW{-}^mPq1j(d_ue
zhs%U*ot|PsB`2wRSd&3{H6N&n?kxV<%Rt`dDKT#I;URC|6Ue&uR08t$H_mw`Fp&`w
zyq8$H_(=cYZ%_Yjkw98-eM6ns8d9h`yK>?iKN*s%t{=cGfqYN<jHbYK<P6SSDxVf4
z*%Skda^H&Mzl@&BkcX_KVy*d9x0VR$8-2rn3n7j!E#@RqHFnZ+`*2!co)~%f#K>{3
z4sl5ANs>A{%1MTTb8M%#B$?Dm3oYi6z@es?r~Xkq<le<yExRc)q@#FCNW>`#+|E<h
z5SHg7KP&t!U2c^npShI0)76#4>)En@Y>WJ)JWYVHGF_geuXu|TX-eVh4^`EDe+0>d
zgC6<W#}!G}{od2W32A(?R9aG^h>-pBhi02EDwFCS!ilz7GUzbj)*VO_BMbK^hDtW7
zk}f=AQa)v}h;I>;OQcAW7u2Qy<j84|d;9jsD2d9$j%KH<yev(Qvoft`zNSesU5T?%
zZBqb|A@^G8q%66zzVGtLMQzfQh4*ji7bWlxrp>;Wk|))7*2#MJQOVQ(oI9<3Rne;2
zG5N4Vfs_gjF$<H?A?FzmzdP@y0j*?Sv#e`Mq@}=MDfdoYa;ermRiaZ1%#sodR}QL>
zyH3ma?g`c-m7|`hbdFKMWZ|=&ZmmX&e6!!fuuGpjf92AQm!>X+Z{L0QP(*{gK45v|
z6te;Oi&d)a-eY}ey*V1Zznemqg}Ag<?lvIfH2wPT1sGuu+Y^Z=p;}}d%RbL!2Ltln
zwtz?ui;dXjHnTS=NSl1qQBU2`q)$>Fy(;F>prb&&#@y+zHo4SkeEUkX9{JSnLI9Q7
z47!^<C&j#}WZmc6EQh!1l8o0E>y&qyBb&}=Qjkg|3ARu}USAsNcu8dU+OrnO;i=*p
zKT9Q(*iIZQ6V@h&TJ3UM<18Ul&dYh#no6eU)Th@9s*_j8J)7(|TH&4MN$Z>@ZSwTj
zu1DP!ilq92_!YlmD|EP?+AJZeP5P!1JM#Qx$V(cJkDVE|!i&JYOnHYj$w`ruRTpjv
zkz9GDAJuxSP#PcpiqBtz-0$|YqU;eH8NkEU5`WnWBDu`F#bwmU4v&$SLzO>?i{I@1
zM%1jp@nKIvRjD$ma@l6PQEDGOr(%9yEXNYhG!GM<8x+Zy+}f=*(f{bxr6Ci%Yb^0g
z`MlT~QjRQckh^;)j|D<&WKzUDEbw|cC`-&qhOEqaJS-Z{g(<V`p|MZRF`HoGT{9<6
z+N$o6n=Ivp>)*Q{PjQ&TguH#+{j@N-pFST+gz;mt`6Xli0W(M+ck}Y`<R=|oRNXms
zMF3ewY`jYyK*5#+ceiqLlQ&J|NA_C@B3<QOOsECWvg!2Z(lxAPK!3~WPd5bNzEo{`
zA)1Z{SJZbT-(VzvMwYd^mk46r$cn802~)g~kr3FE`HQ$RY_sz0wjge8-)y%1iV38y
z>L<2t86#-TL8=+if?$gZpZ@)FBOZ5XTqWh&2&=vO>-en&A!n^SGCI2fY<q8+PhIJt
z)3j3mx$_7@$h$zUMt1|65}bzHy+-ISKE*%Q9u!#R-ZEkHlg7BrG~pUHJ4<hOJK619
zC4kuQx3{)^FhXXBWj<xyZ+iH}6n>kB0+8+GZ)4qPgo!3jkMfhtbgNAXo0%R7;FzK}
z-`#tL=>Mvow2@#$*>c^Mw{-$I8`~S2DryM6@yu#HmNn?Tdo0O%UH~up_I0~v7~t!N
z9sAbGufvDnKw6lIAm-m*rxpqsAlpKB%RO;c6rMJZWWOm05#FO;ciqy*Z|6vE=ilqG
zC++3KI58n4Y7G}!QT5S#iT_nvEj#p$+7iSb3!(nTIf0NyJ)9!U?2Y0$@p}6Du_Z5I
z{Jl+y8{4Oc^j3qmqlVn@Cyk)1CW0<&)2@NlJa(5S);jhG4-ykqYihYfA)S5dTym8z
zE@arGd~@c7Z}vvdYn)>6mAo%!5upq6?XpR=J|A*Lw|b;0iQ`%$+d3azUC<9jC`d^2
zW7i2fU-&Kwm?(ONc>L8t<EDh^W^MuWe_*=%<*p>Se0yWaRvlbylo~k5CJ1lI(96#3
z(inRcC9RmR1D`eGa{)X;=+);u9%m_o2j_A>7^djJXbtzF?{dQM8C+vA&LxY$ubRs*
zPUyhC-{|s3a}o69P%~AAWifbi(mW<s2MaOH9)Avrf<O9wzHzM_I-Tc3T+ZoW`3)cK
zZlM?opJX?@e;^N`)4xcATpiT@Wy+ab6o>5}(bmn^6rjrD_H2EV4ytp0@MUk41jDD(
zW2s4s5E}^^FK5)nmeItj+2^Z!U}J?G_emwxFZ}mV(M}hJ<?dNSLNYj2wJo$bQW<|M
zJwAxs(Os>(<&JKb3}S-09pCR&LCQ08Ha#9ac(2?XczsP4n~Yiy7&)rq4p<w8ll4Gm
z7WgT7%i&}E9yLJ~HQ?wwYik*Oypqm29;Ymi<u5`C!c%JK+;ve!@Rj~5k8dt1nvlm}
z!iK}~S?c&U9F>s%p8-C&Q?x0M6`-)`;R}C?1_F8w7sKd=2wSKcmI+csOmfMN(yJOM
zm?)d5=Ql$2y$8Djq?AzIb5OCYR|9GGT$IT<Bh*&g3EZhwf?#gKD1BT5RWX8RuJs$E
zLd|c@ZdYZTw>Tgn-Kc?|%ZG~E8#jQFEU#tjRmPWkw@?4A^6{Ub+3>Yx8)0@X>z<pr
z3M@wqROJWM(K~U|&hn-Sel#nVm|j$Y_>r@lK8vX1$U>XG*D+HB#{R96s8vC$rNrm6
zl4?l5Z_BCUK*zC7d0PKERp9CxuEss5f@3}hc1JP;hV0D^_Zw6o=l6_idrKL%DXk9o
zodJuwCtoYCtH7}A_1>ElCA_o$J+yFTl?NRzg;zVMKwfHKA?=O=7#anKv|50{BZPwF
zfHHFKbyBss<)Ktn#`Rzt2vPQ}VslZ3Z|Kb<;YVbVGXLkc{aQ1W*Op2iEm6YUnIX1o
zt<v~*`|!kZHZu^?)U=;Viimv?7o*-RfzRyf%?gZW5Vwdo@}Me$YASRlYhDx^L!22y
z$AHtJGREDm3K0Fzl)cqO7{Mv$FMNCrY&k8LkP<16utC0fuipY_`d})>a0AH9I;M6d
zSq|Uc<Z^%e#D~%X4%$(FK;y!+P0bxy)Xzu-YO(R+#f7NUQ5C?FL3KE}QU=P$jyw*Y
z=fZHON?&3t9fK{br<9AOA@s6Ycau8@zIljU=mZ_{sfE20za^2aQQ3LYj18ULZ^pPE
znZi2pKzFCJ1UQ5W2j*_DBKY26TT5Y6c;-j9?x`0;FqybD#D@iBd&drySQ9iiu9>!Q
z62)(=skX2)>%bEjQmQb#5hKY<B>}&LA#R{QUckH#%O7XvJnS|?^PheR-wPp}hzaf4
z+_Dyq9T#_3J=p-R$%873*H$^bs(aGCXDwzN`vzCUHsIV%xvSe&_ft;a6P6C?Revo%
z8}lr|828glQkS0a!zg-bsOZKzsO*ag-ac;xtBlZRaie@tVF^3PYR!VvUU`@GSM$mJ
zv!@C-n(*Pf0ypC?QC74sE+jnYH-yMug=d}*d0{>+XPC~v9<F)ob0&8fA}NNshFPB%
zSBj)2K54O`)bD|X@jC-Zy)v;i?d3ti7&Y}t5Ib%iSkxn(4dAu@U8C$J9@GxJ-JILN
zfq}OZ5l>e6I$*%xu6Z91sG0p-v*uhd3$Rb7`>*={NXc@*b{^zXT^AzyxUp+rS9<nO
zJs4ZAw=;I;!5@n~u4auqsPSI+b=^5V=<io^$_nH`U+5L*pb}ohukoxYmD9sWowY5?
zWgfWhxpT6ihz}Rn{CzW5tqZ4jArIKPc<{H_A$4sfKN8Pe%-{&n#hsR&emm88F}@hW
zHPI`8%ad)RyZCfbcF0csSsE`+Ukqf}#U_LWYnKGP(n0Jg=P`C}K3LXee^GT5M$=ub
z<FsQspt;R>xZLE!r1DJ5hI=B|BcRyv*hB|MtUcc5S@1)0%GzN!zZl*p#f&<v)4^5u
zwNtWx`LQ&P1lnbBG}~~oKj@}`rS4SXRD%HS<tOS{Xi0)6J|Q!<n1;n17CVavg3vCV
z;Ar|Jg@S9+l9#T~V3>bv#{QNN9R8!SyKIxeq0H?MTF%fQNqSpp6bNJQ`_H>|Ad3g1
zx!oeCX>hl$(41}(LH;hiq!2?nB(+~mJ8^-A;-Fae6Dy+7efVR&y0JW11EVU$@6zyH
z$>{e*8*y~V4*5x1DnR7vKQ`_b8f3qEt-p3x0=3Ea4xe&Xgv}12)_7(e1lO<!6bnkB
z@T~9z`+g-5Z9Av)9CT0=!geS1iZsp-{c3v^s|<@QhLN<qRo%v9-xg=cpdxE}jx9|E
z#dSrKbP-)VO2>@9pDcFAOMAp-t3u{nzGrl%E`lt#>$w`qL9E-N|6jHmWSE&HYW4IG
z93>WYlUE+^Qcs>Myr7QPg2OTT!+NO68r?8DCXXrA^hfM|8i>b{qTu`btM5OV7+Ir$
z!C|cmVQ~sxTP+;(k2Qd-mioNJB}MR^Ym!MWprC9t;<rnHAvT$fYdCr-!KQ^R$e2qL
zyw6g~ioA?)(6F;xSyCBx3d7N!8#U3tle1>t*BC`7CypgGDMO!YVY`~PCSJs}6ut}D
zfR^oGwDwhjOwT{VjbABvq@CKL6uS`&8zR1I52?WCZ&``NE(*Tv&*4-#x9TSnP6@%*
zst`6N<L@VGfH0G2%{y-j55El^*Uzb<jy+?a({Xk9OHRD>IZ9vUl=%IO4^&Y!*ITyH
zNDZgFS_hRhfI}t5buD*QvE2G;lD}F7)@M$1pGpE|Um8cK9aY8o^4X?58D;Pf3JLLi
z1oWpSM7$}g;H!-(^YT^1EwTNNwI$4;bjo;p+Y1%wBnX8ZxwPuj=lXvw*_fevUoQKg
zk_s}0UhFill?Ct7r%|T9W^mdfcy=;e8PUA$hu%(0<Jr$$DTh|`_8QrS0oMFgJr~~B
zrp8Jj%p>SW_8v0`6h!9LzgEQ8pEi~ZW}?__C-m3W&I}InU7D<23P?}$$#k<4f+Hi-
zFci#Sb4U6_RgXN(LVP1DGWfB%|3vQ5SzxJX!oB>x94>Xd8ne;m#lPK$mzGNb4wnq^
zs5V(dK8q9cvgbks^JHdO7{EGLxXj-qgPk?fWe3{Xz~9J}erPq0L|<vYV18K|6G!<4
znkQH=8<Vqq>Ny=jBc4gy@+Hx{?hk`+=2|@XbUso<gpT}{bZN&`E?+W|NfK>mhIu{<
zZ8Fpp_Nk@3B7$PbP!)LJ8O4NunlgE#&8zu8#FQ^RTm-x#Ved94F`~&<usB)41dp2B
zo>a^Vfg!{Han4@`9Pnd2!@2rTMsk`I>Qe<V-4|iq_>uwrPTvn~?cIRp^dk`_TLf^6
zY3j{~R}6SxyD-9PumMXAT()wW{HQosy_Lqw2#p=fO%+#+(Kn#X#7g1Aliagw;*K-o
zL?D^bykvy0&Vl|~_Poe;k2}&V&x8xf=d9y=jc~qg!ZG^{4>W&TXSz)>A;FtFnZMl-
z-=5q}-&ezpsh5V11s|E=xOL{-LsLVPKv*iOkPG{|Ym)88*FbZg&o#K%0J}5O6@RvJ
zV*Q78Gqr;2;Mv)n7pZ1|{jXlXI3&xtI=^4WPPnlkVv;*~@SZ*nPClKwd6xs%&qrw#
zRj`6xtE;S8Ss#qE%7?sNIS}D};eoO~8&*WWZ*nfwgTRzsNP__f9y=#La%pCVBp0i9
zwt*hL6#k8%m~&v88D&ZRC?~$QHz#z|>!R+bPl{?J2cGlI4E(d@M$Oge-_mZnu+%(F
z&+gzrP_gb3Ztx)RaoXRPKXvdb<W1(Yoty|i#IvS9hZhb`bi;{s9rWxqemls>g)E!-
z{)y*&cr%`@_S;Ygi_@EQ`rdKjnsI*CgJFK0U3;O_XqX1J{sg|P7H-U!FF$ma7erOm
zr4E71G&J-sW@|^T-uLqnpY9PMEGh)KGHjt?vsH~)t0*s67<S%F8WaY*n9s~9ZW^p6
zoMs~4@<PAL=|GyVC`{P{gg5k1VLNct@nRMq{28vvxG#&LAa_E%JD&=Bo*RN0vHbXE
zs}|K!ECJh}Ns_YhR5)i`&{zr=fVshc_L*@~SgTprv=m5%++hB8i#S0X`D5&GN>65$
z^Y_&Fxl{2}?vBOh+d^=y;Fu0GkVOmY->nh5sd)YIPp$e#VMMP}qtdPAkaE#cf6rbj
z?weBseJG;%__X?nf{#3+3&qw($5A2md7|`Gh8TS8_^1;J3V3!i`;u%S6+Z-Ac5LR8
zfP%b;_WNgwcxLeNd+Qh#TW;xliQbb$t(3sN1LI1tE%mGTvw?;?+uC0=I!fci7E_Bj
z1r<d1(*-1RX}Fx#^xuwn8KgZwd4a`46>DxUj-*QI;Eky!rQm=p#_d^NFQ=%%K6u0>
zu2=^y-|~kVUFG2GwsdcQnL1dPn|Yc&b&+e3aVpzR9^N(4XEwKJKy2crYOlN=>cZ(?
z(o7Z5{$Na_uAYJm7034-W7J2-<G*$BtGPG%#={KtY)!oDx}{jZpbrtJE{R5IC2VOq
z{La@_3(IaJHl2)yP^O4htE^r1-@-8!GeQerZoS?7QrZY*Yo&Pq_A8?{+@Fd2mlo#T
zSdRue7-O4#tCD4|3IxU5@9B(c!6T|b{^rRIaI&>I-MvK>g^N$bzoclvCgd#ESFY}t
zjc%#e2UL+bzdf??yC$Y@J1|Gim_VfPk!#HsHCX9hsCzI?!B+#{4GQ9P)SGfMNnTTf
zgv#{i%0dkc8E}8TDguo3CLi1NTn+c`*XT4TuIdx&PUpM~IEh^SWBo`CyauY>KlZ4i
z^vSk|Sxjd59{>RV{|uLRIF^4H#f|LjJ+t@g^?L2~95ghHiYU=Wg-V5tXb(|VB56s5
zl#$j?&m$u#q$ndIl$|a6=ihUE|G2-`b>HW6j;8V0<z>Oz$ny%w5DwJ9+DG?h?|ayQ
zJ7D!288L0}->Q4Yvs(@Iht&r*-nPNlE6(0w7qp;4#Q0pcRe__6sQ!mfHlPI+x%kv;
zLigqVyJ9Lz=*WDsPOi%aXWQwSmWvt?Zt61XQBlB<lFd%D-!{<T+}FtD*8sCf!l~O>
z27Kq(PL|f&z|~51R%Dqvij#NO-iw!jk`ljYN1hE>3Kuzk_NpRIwkJkrl_=!aew^Zr
zvH{16vj^kLR1ig*zVUgB5X4jV#aGzaVD!>!hqe@Duz6*;WnAaOsuSWr?oR{yKbXnW
z0ZP~#FUkGSjthsxo!cfJ1E~|NYLWJei17Q|Q1OHv`vvq(zqkMa%hz`ox+vgo&=uqJ
z?^%!<b;5_^9|5tj!DXlEa@b_Pdu$8)JRz?$E5K<>;Ox^GML%^JoU%W)#`gL&q4IB~
z0MBJ>ux*R0(Xo=k-r6{yU#e5YQJKdE{dHE*OfF5^5F~*TmFBJXF%v{=`4I~VSu137
z%DmnDRSfKFt9xHO9VcX-y)RDmwnW|Lkg*;YQHbmjym{czIHC9Bw7J@I3v`%$6<nMV
zhG?+#?Wz26;$>N{-Fhwy9Q*R!Vx~+8OpU}#!FwkNG9^IE%hMd|d<$<s*dvJalT-JC
zk4zHg)``4HFU-Jsx@fI$6hHd(QZ=fprihJgN<l&rW{{uqTdUW~2bGKUI<9-CiRgXS
z?HwVexW{efk{84a`6o#kS%$O3=>vIdh1*TwnX#oKc`Xmhxs!G@8O{@nU4uvOt~bHV
zxKwBSCT?(AzKRjqxkx;Jk~$gx#u#4r=k$)pa^aX_*+7013)+osqkhwk;UlVjWYr8O
zygqE*LrJhfRXj2>{gDxxDpb#`PvFFiam@{LA9h^5DCSM68R2N{$suVsPUt0Y#g%?s
zhV4J<b6g)9;%!}@bD|w5T0<C3QL8w?C*xh@M>9myDhgv;I1zBR&6?*M7h?AhK9qjR
zL<M`LS;bXO7}e_Uca7wMbHM7g!E2ZpO`TyIAK-+DeC*GBJ3ffiAD(&GVgO%{&3|6`
zbHP`IXZEEUKLp>ifB1IH0FgB&oLR!$IQf*pBs2vPKYldVRCMWm5550UBR7KU<i)ig
z3gJP^*#-U=4AgB+yx8}S2P@J)c&Aniqr6aLdB#o#TsBGG8v4wOZRaR&B_2`azcc1>
z6Jp@Rd;O4b_T>;yxbZRELkw3*NA<)CeH^^QI)BT9ANkuJA39tij(<JQBQ0n2QD&L-
zB&AsZ?`)UV7q6GZ!{UcyW%l|o(HM9+0U>aPU$K!Ml){UHA{Q6L^}(*r)pScs7~GfS
z>SS|dkS}gh^stc*o)z`V+L|JW(E0B&<FXuDJji*^6gnQC;aYdeN)&0ziv_1IDxgy>
zpxNXw9a_U1#j_8HK_Y6`<NnQxko5X+>iP~kCZFmaKmJS{>w;KD%#JDH*1SiK<^ej4
z*Kg@75?q=u{HM}XhBCh9WmXQv(_vZRTqJ%;3Zub3;t|~{X#SNqNpGbic{I#%R!#<f
zLDw9v8>-=Ad#~zBb$uu#d`$}bD2qlS*2m+TI-ZWq80`(zM{KV8DU(Eb5XpzfmQQLR
z)L?-&QLm332JBoGK`RitvV-2gOAEzPIqp+V3_J;BZtQ=d2=3xeTY*|_WE{x(wxyc^
zJw`x=IjMx&r-w#uO?1)kPy6)ox&fR@o~<&iRmMv}$15Z8G!U7|u6g^I5TrIW1}@Dl
zEb`@uM3WvEeDYdfHyI+wUvTXGf-3$LbF6V)q~lVFmN?VP2yaK*E^Luh$5^w6y;Oug
zmb+H_d^m56ey28$P;CvEWFqiIn?BscUS+SUGC{z*$IHJMXd>;V{peN&27(7$tG=t6
zfw8P8YMZte8mLFl)r}c2=X$}pJkA`g@={{SyxL$M45vvbF<?L5ey*I$5_4_#1z$gD
z<B(BIT4;+t{PcE5?vAnof31H`$N?QB2V`G9yGI{^9a=%cBi3-(UB(~Kx}@L8-S2gj
z4!t#8vN;-n&o6V8^NPA4_jUO#me6p!RE}+TC9t`zYNnH}3wmZ=KJQx{Ty^WPZ*;YR
zXndy2Mjl-#lyoGi25aGK#N9U>OMJQJN0$!C(ZQb@!||Og8ptY+x;m?23ni)Qgh?44
zY}S*}c^{yP2B9}Uq<wAiIo1C2I(Kd8Dtg9bepkYVM|s{WuGk_q^-yT?el6H~3_6V6
zQUI4y)mPCZTNFLBRaxh%2|WSZ7R67}_~g8}O5~g^f|asUa+Ni3P3StSldCxV^67?)
zUbYC0$@U3vQbSFg?8}J_!kFmK+hMG33;xBMXAhiG#eS#YDZL0jxW|{5Shm?<RYKa?
zFG?yPedk7&d2+yXgP>OAWg93Qmg@E`Q3AEb--h3q1qK0G#>#p&Xt^?fc)7PC^qU^V
zo}QW_6lR3)c6|h*O!5QWv=p%1SLbx1@d&ZGy#A}OH}GHZ9{sR;vfx%LAua#?Au?F^
zHL=YT7_qI`7-uC7H+i4u_VjjQ;)s<2K_f6`7E;r<Ac6R8BW97i8;H+&t8FH{tWhZx
zIPK6Yh69i9xE?tFi8x-+Z1o_)3Z7o_U-cG5FlSoM;q;`8IKJ{r{H9Nqn9!n4^jHZa
z*?EikYTkE*Rk&g89Ue<~Ft_v%ISJyC=%$rhl1d4ih_#6W>n#xf!@kxzXgOvzRsVGQ
zR}v3%W4U%Fn8Sofb4cpvf#zc!>zc+|V(?0OFI)T4-mVTJv$DD1>38(z%k+BU-foYo
z3Wgcdve|Eo<a1!bdCRrs!p#Jm-KOcQ7frz>@LOJLh8=vnO@u^v+lj63l^ZR(OpqwB
zwQKey8+eA}i|lMW3HPK?%?B$@aQN3hYY9tMyiUA%+$ZBVk)OcQmigEiU(c}!kLa@C
zl=<`LyqbMP^WU)V@}kCQ+asU<JavKKliex3p>mM;-hQdOH_8aQo&_vD2J^&F%Gz6Z
zONI&A*)L8*qlS1Cdr|I?>>Od6JN|~u871T-YDGl$8-m??;0TN3EHQGnhFOz2PMnNC
zI6-tW(W&xuvv~Oo!F#cYZz6A!uy(P(>b;AJ!@||>{b4hNKx)@{(Yk+xg*nYRq|*T7
z&!3W~0%iy{weXn?u36%t3tQsB{RYU@dr+5{GDGO9W(DSKohMkna(px&V<7Q5kMNC|
z8A7JKN-y){B5|yv@=aG11FrtZzC67;OAKd^a1abuRMa|m`iU(0+ozlVWx34}ds5c1
zmB+C`y328@<)J?AJN>>qyK$ZfG02{`<6Q>xo2O%8qYw9Q0-Fm?E)cJaaye^naUe&p
z<j;;`I-K%{j)%7`5{Z8|xaT@?p`@UCb1VxT?A8_P>tC@T%=ydUP8A+x-dn!beS;oK
zvnH#2(^+v_fyF3Yjt^GkhSLgnX*ja}*MAka*%0TIanOz6$ACd2@3uu<IBeV--Tamv
z?YY}kUS1W1_!kb(J3hMDG2fr+HNOnU%Km#G!Xu0y4>?U9HS3^Fxvk&XlM~Ku#6sFW
z5m?wtSUPRh!Q{6!(If3#xHY=>V*5`~{J8ou_)eEL=xjf>QkQw~MvtlM8Y&LPj^T!u
z2yIO5JNw@WPd>2vHIIjzNJ8_M+^v)9+DJFroh`hbA8(@*o4!j+V^3#s--dQAY(D%u
zAm@@G9DMhl{-Pp_ecrxG+n;E`N3}<yYFr3+(#Qw7Zt_shxFw}<O$(Ea({f3K2zW1D
z*}CV&3YZ4Y=lex#Vg24~-o2Tk@QXSA(o9(iuer|=N%ypnJn`&{pRPEn-p_WoL@J}A
zEj({`lNRFdIDE^jlK{W;gTk0`6^Od}*s2+7V?l1bx+hr*dDfef??<ZPHf!9m=P$Hz
zAoNB)JxT_Tf*9ksR%jr^<n7}_`*py<S1-M=#QW>MheZeLG?ANsG)>iM$;U-@C(vFh
zpz)2{_ndfb6tW){n+c#{!@yU6k28u0Ppf#dZM!ax<}w_NYxO{X+i=D7wGvKPUt){a
z&;!4-+x(QdJ`($1RCO&Vqnk~L`Jj)E*=LLkj)n|OT0~ua<EV-w=`(!IpY-9?$um*x
zYJjgIQQnf7YKV__?a)nNpw#n}(!o1SaPIWo&RF7vz-qp!dBOmmquVls#f;Drt-q1a
zO%qp4ZtP!CWq^$NW1LrVjd8{%<DuVuEzDULv5jaj5t)*IcjrM<WT)t#o&KSXv-Gl|
zWzI~vt9Kdu*qP%rsSCdu9RwXe;WA~$gyCY#{yVysP&&I+cXC7*tNm8j`u;RP@JG>e
zTV<@VET!Pn`&TqHBy`Z{Ee)V^PS_=H$)DTw9g<$z>!IfR!UpDM26Q8Nd~G`cIWlsJ
zBUul6Wn~w;mvT(kzy`N%`8K#YB(r8AT@SS4WmO5MX$bS<Q>@u*3#YIswL6}A$cWwH
z{KiWg8dH<1<hU*NmQ_)sUuc+I2zzvuRRgqwm9v|?>=3d&rb~v61_#dOUvI9cKxo9j
zfbEVQ9(QV}D2?bqs!!yXw2~sUmb;z0`PvS>l`n;kKGH^}%R&CU7t-Jk`qnZ2%non9
z@^vr`v~c(@KUwui6sO9FABQg3VJu;>B`9SnS84P6tn*)vlUv1JdDz(@{6N0Q$zC<2
zHJCqX>S04`nEdDMeYS`eb4n1QsiG<FZo&0?6U1-P{Sp1AY=Hv-o7e-C(P!*g{yD6j
z$ZD4Mni8-@`h@VU+CoJLIoG9mZ7d^q${O3`CE1{1r!U8(kOG|fOZg&(y2<T>=`z96
zHi+HOwTZh`235nE-`!nDNb?h)&o`w3^ERA6`Wqw>6mu*ub!>vPDAY~QQvzyYO(euv
z#Zl+$vM{PJO%}khFJcpcpz#Nq*}Ftg(<&-fs4z=5CwsYG^<CnoaMXvc5kVZ`2|x4L
zV2-pt{zugRycPWRw<z1i@Igb&>Awx}bEJjOZ@mLKmiRTiz4c@~7p(0f<Vn9dGCBOz
zkyFhUupZXC)jr1#>Ci<Ay|bk1X&QHskOltverOA<V8M%qn4^Olvt&_SRAj${IUGH;
z2RlE{62Y4@FQwSdkiM#uH-qBM;63|dqr;0yBHe(#<+;N&c{zVD;Zdt8)~K{hY-5ZP
z`8m7aYi#{To~nK#DnU1e+<;h5;m!f#ebeVll1HY<4u4$>kMkx-`*o3betkDle9Y=W
zdio?8`d{A#`A%b88E8u0A<{-<*As_)dM3!roRNE$uQEo_YU*qM+!x};uYdl`%@d@i
z{7`Fqwh^qgqSrljd`Dapb}4rFHBLs$%#CiBG{VkPYg|XnPY}0<x3cvokCVG4D^u59
zFhl_@==$I4Vv?6$u6*M7I0;pq+R#}hswCZ>2n$w|$~^1F+QY`lNB0)f%Z@T}IZv_l
z`gA?1yv1PTP4+mcUTp2TY}f$tZmD;NdYVax=g)^DIVQ-OPiIDD4jUl!m*hDPvv%^k
z_>qu%mnO*O_K8h{OME0)ha`@C|3yl0NjN_@og}@lvrFv_V?d>9U}cI&HyITYkQ^a8
zMcPWKSsvtMAmbLRyzl2f<jnWzE1a_b$PXvZPmUz&qt0eS;Xk5}<kk?If95<*(q+iP
zzNI@3+PwMTe+2{Nz$qsa6wQ#g>+*MB5252fmh*$@hJVQv)nc7)hdEL&`m%#`mLAeM
zlXfO{50f5TOecGp1(Lfo&f5JK4ceP?bw3lM<m35Fx3z*SR6w-$dsihII?r=7iai-4
zXI!wxg3d}gWnB|jSmNNx%X_Q>8B6=^@w{F35F6#qU%aETKnE^){g;;2O_IDWaT8nX
z*r`I=$NM2%IxzcvUyAM8KQc*1XTx)M4(e~Z>&IQYwUI3&NLB{Ukn5{^qiwmlsPn}e
zY%9yOU=TVM+ZQoM>I!mp1$1&#97$s09CR&&4*cdaFIpfCj{MSRAL6AjZS>^QT}_zn
zs{V4|8VhB1D|NNHE<a`NAHAkaP7~+vq;5*-V5NR{EB*4kCrIu8=V@DhR|98yuk1?L
z$WCnu_Wn?zElj!Y=ikS{(17OgM*EP?WmJx1rTd8oB2+84%&I3J)zSDk>Th}~C&dpn
zNr9DO)Stp11M`9Eh#qSxNDk$u&UrE&0(c~-guI8{p_=MYJ^aB(_X02VmRU?s{U=Fr
zCS4&X2Gt-M_U)}_*>Y-tw(IQ;F&V1uOqbHlay5+CJznK$EJ*cNtH0T~Q;v$<qv^_;
zuZA(>+-)VpLR5-lYu3v)1<FD(kk7P84JyH*aq{~_D7Az)PdPp)QfH5?>T7IJ!>ao^
z;vqAll&F4~pro}jRqnrbLQ-5EVSP2eqxs?#*U#8k-dYu^b)~4^mk@REsgGozz9vac
zIA`vE6{bdU3-$D-aBASGm}L0ZL}|)BEI49?ody*~f1L2LOarEoox(CDvecufw1dJb
zTGThoiYBesnn>KSFyAh&K;7)svhJ4Dp|+f?|8i<b3j?2TiR@XcNI4z}HV~AfQNI2K
zH{L99e|_(jEb*I4l%lbs-3tvm6_CH<Q8$x@i(fbe{TGy}m=lJ2nm6>R1B!wP_gv_(
z{g(T?=CCSdqHuP0MIwWG#M+r;-m8y4Y7rm&hSaE<UekWpNCWEJfJ<<%y8*WT9gGtR
z)S%1+ultreF{wZ9-6t2Pndl$QNnae-q)u-r-N8S@q?kLC{M)LGmio7jeM5jY)ih`Q
zVd#h<Rl-LTU#KuaHly-sW`hoOhN(OvlWj=VWk_jn`)!5-wjM)c1se77qX6foR70vl
z`-YFayd_rjnFt@S)T6X41TK=shE(NvqeY>IHM%(N4bG_0sY=1076-zZ)HzyX-Sag7
zvvoGZ<pZ6vm}NW)@-?8Wt(*M5ZM1<%c{X#Mus-#q_iw~sb_S*XvP$Kb%~C%VaC>Yc
zrcX)ksXTnAK#x*&&5aBfumg?U{(RqeI_0(M%+(!}+SIqttZnO;czUAYhvNx4os!9B
zoj03Sr}m|EuPswviFt$LdOSvYRHBgG$(}#TROZ+vjhMYF(ViBWD?F@A-Ct!XzOPZ9
zQaWA5b|`oybky?5vj=r3?y=n?d@d5yv;O9-^*dH#v3Rt=sZfhL!+2WjJSITx-4XYM
zMRg^HS03NLzEOkXJtrdB*u+L{w+xQa{b&bAuL~wt-D*@HSQDPl4wKu*$0YK%+aa0z
zP1~{_6)MV;PgVV3EKy*0=b6t>TiCB3b><vUqI#Xo#F|$Q5QcNN<Bhi3;-$!8{`(Uv
zC>CF{)N5?h#EOt-e>!VyP<d?mYc^9kD*Z<WM{YU`xO7j;NvyPiMpo>P%UM!X<IC2}
z;WTzUefH_>-ZwyR>ir23S8+;Y+uFvKTn?1(Fmyg|4D9~4ownUlgraGzHmBIRu<W(o
z3s!#ums5^UDVGaSVymC~_Lp-(_tY6$R<Jd`?Wq28?J5r?K}GE4kl}{QkEBtD7%K#^
zs6>y}FQY70s_fud!HxH2SAV{KVhQyK<C9;nvQRQ^YZh+}apB1Lk>KNv77*Ca&9@?O
znj9i(`tID~!ZF5s(;v$%a8$PXOWn0mQfQ0k{`Zz#ICN91n^<R#vItizw)!5jfXrTI
z)5HmMd032HHG{wL*m&BL7Lt4WU(t;boDiSIUY8|aJ9`}asVYH{%WHV9HR*FA#mRrP
zj$w-MDF@y6{G|lZ)Xd&6&4G~J<pTp(OfYKCA^LJd6R{!TXc+l}1H1Eh7EFhXQ8_yN
zJ+rivIKg}E_}?X+x49|7!_^pCak@R_W_`rd`I5cua~w#x!+C=Doe`1~6TGg73==G8
z&PN=!=0wNO;x)X6Mp!rTsb->flz1oY9xZyG6Xu%V2X(Uzk;}4Ya^<cG;$CpC@0<=7
z()e@sIcpfAt%x@ww{D84ez!ixx|s_XI#`N4A2D%!N<Hh6&J1D4UO3#7%Z=mQVK(-9
zOz>O`AiYE8i0Ah@J!G?a@GWGWFaIk8Ol@!YpkA^-gc)XWN`B^r?{HCAp}hfw-J+&>
zF0df=I+xY@70aPNWXR^!%0R{1x)0$6tT4~%z3!FDk00-<)=dX7P*~FU;#Myk?#C3W
z7}*J8t(m7&i#P+qR`=^BbeF-&wfE<Aj1UG>;(u$s)<?^r`+>hv958>)aEeM0MzR3^
z8qK}>*!HYe<7W>iLN(VOi7F7mx9SURT4MSb{Iu^gpD#B8v&KXA{}sjVV|I(0Npv`z
zFT7XC$_tbDo{)F;;>e2SuPYa%gPD^yCjN>Kg_rJbQYl&LXD!*QoKp1gj+Q_kjN^x7
zQd_n5HYr%_)jX=m)Pw8&_==GjK}6BJbdHG2Ap5g?NL?EZnvR)n!;M0i*qgX3Xj~TT
z_i84s(`lFrlYY-+5y1*;hndU&<e{LhSP^%WhFLkSv(DC{C~`eWY!y~SuN3>y)w^gY
z@fV9LNfZOe<{|;oObPWP)Ia6{8ZO0{ZtPkn0gjj-N{5as!*}JSx@&PXgvUjA_g<Am
zQ{dmJ@lq8`ei+l3Xr`fFW<sdMSQ-%uxqBQ`)v)>e@LBhDdWaS*^=6xqL5g#G&D%tE
zD3o+IaChmUP${D3Q<EI>R69j-L^PqgQA+Mc4jmmPcembeP(Tp5Lv~N97S^c!tMqcw
zhxdh_3yMLC5O;1V?N!%-*g%4N!jL|E3)(V@Vw6y=Dk@l=r;9e5Vhfpv3^1<e2>pDj
zjO+1J6aNhKaAmRi&*w-3yjM7_Vce{OHC$CE?%tu}XX~+I?ocL9PamSi@~Gj!7In^y
zV0~;%s99%w-4H9p?}xUSsY6-JMRbCjfknRbq@Q1naJslzOv_sX)(`IqF(Vi-G})o_
zRo?`f%NBTUUepBdz`j7CY6g6mcJnTeO|eqvL++WS|2T(?ZVwq@U`?RPe_1BxcocSF
z)3roxsH!@;s&p}M=hBZV;d%?in!hs@I;4Zg*^ZZShk<r6v+|Z>R^W@JU3FE~g<Qcy
zQc;BgjZdzhDg_9rU6B8v^KePOeYLaFPamZ(B%A8i0dJdGdbdvLVwEaeNjeK1?sfmF
zq89+qX9GW#1!%Z&;6ZA`dtI>nb#tmuvw<u7javmhy6AkZ=Dx;88;u7e+rKH=LVHtW
zeZYBL@c9-Oxt-BKMU$tL$OT)pzIo%o+pB}WLoJIPnX1T8R!B~(wgu}Sm%SlkI@l!p
zphdP^2|=Ir#Lbub=|V#G&N~9y2%Pp%5bu}Ad6y%q#GEaxSmVe3wrQd$5qqE9kivCs
z?xOWQwisH+#cYVtz$)oW!@KfD5qja-mi{-km@1jHFi=%TY$;2_-kSn2Nea8C8)l1=
z`t!@1vsA&xe@Ei?04I#MpL$7X+oIz7w2`v53RrlWj4F4qKvu1zM!kB8J9@e-*B&e3
zlP_^-b<+ePw>HrEq>l}7%e?d+T@i7?GL!*VA93(V_NVQ0fJdKjTi_Xa<kcT$pEGVG
zx&?OnuZab|*G;9%SIVH#YIJ|i*hAu@|LyNaD}ZfXvZAp}DX@3PBx>@0APpqcB(aM?
zh|`s5;VN;2A96X7Z~C2-ZF)Vge8C!;5&|%f6-Cy&?5|HpTS<rY8A)MzR?v=e{H}UR
z7>0yx^}g5bq~5~DQOyoZT;9`kHEfk2XvdC}J~iwh%N4bF9!OZi`;3<}M;9NWU2@bt
z^4iJ2Yl~ZyHd)~9#}xI@W^NP|N3(oyX(OMO9=dZU!5p)tJ~IbZIq|7L(cj3tg}fVn
zcMp4u8Pbm5bbR+8J3a&-m1?d1MlM%37?jpDgMmK(2x~ekR?UR@eQK>EqbxjXvqDX=
z@!0*<{O1-41>1YRw{$;{Nx29+@x=s=&&J|*uAL)3FrSV!hW|&pNr}p@qnp5qZABvQ
z$!TKT(LQstb;?rDVzzf)GY0Sa?yO{~DdKGS{+AN(pAxTMERzwLGQvPrj<$*51d&><
z?AS8-jtD$<^G(JsBRqGpJ@>_Zj8M1}&~&_|n()<r?0opMA$TPm^JNA{h;Z&3T-zP%
ziS&rzVh1}zWLo~?h%Fl?Ho2`xIdi*-h?c5vm43~H)9u4)!_WQ_-1dD{Hox15phXec
z=Y~uKO@*FmT{T2_j4UN0v0udUwpLE|0t5URImH)mHApOExrx7j)kUl(Ua|EV8o;`w
z?t%W*0pi=Y<HuXP{}7uGx&GVqdg)$`RirJL14Ie^Q7DIUAK{_COI6E`f#!;ajtG?j
zVqc(nY|_X8v2B~x_|{r|ggtaGpWQY<SkW3<*Z%lRl$CCptoPDK^xQv>=7s^Hz2-pO
z{bM6UpN!Kh$xb??Px~r4#|;wFsf8Z=LSw|pVIGxk0XjbYbUd0EJw*Hu0096043~#H
zmj4&W?Y(FAer%p$ulrb`B)g2VN+?2hQT>o?g%X8!5|W~j`(tEhwvbUu#n*`J_45y$
z>pIst=Y3u;6_=~J$6Eej|2SIfcR&p;Q|GtzH_v06IubD*xht4MM(082XjRaaIxNI~
zX8{|U;^pqRx`rh=7M+-^QGvsv83!sN|6<%-0>4G>ZD1K+Ts0qTDZ|D+7v`6ti&*VO
zobiXLEiB9DSbU*{GUUX@iUedXVLxv3QM}xDF;0Pq9}{^>5HR(mA-VS-cGUk4^&vWH
z(DqL;OjuBa)M^<qP0bZ-ZA5zC&nOxgi@>tWY!rb(OZ@wK(<=7hLDj->PCBSE8`jUN
zQh?;~%rArI*Ri3}Xq{7C^x&0}pAame0PTXqQAD3jOzZhoht=ndAUJF|@#wld2-Nt)
z(uHj-HJ^&jt%Vtqj747GXP1WpiDUO--tS^uPXf<rvao?_kInW{76EuKv^*YAp@x>1
zkHZp@I3Vt3X2E_j0wmvm*Kj(U20G8WQTmIypex^SDYQxs6wB#HE{f5C+O1euX$c<a
z;t!9%<R}N(F*+89dgy`oERj^#$P3N^FXk$!<)D|EqU&112m&$oCt6ea;jzcn_{4fy
zV0au!4tv22+U(c$QZ5Msbu%UK;}uzWbSPM|Y?c*t+_<Y;?hC=QyeIeiy=CD9=fHj^
z4-Vk+h{=sx6@eXpuIoY$vfwW*<F=N_1>WDnOocCr!@qULV_mMYAgCJa&b!48)#73{
z+eMOKI8(2EBUTp9kBsCy=J3K=w#0aas5G47Dc<)Umj$<WyACEhepu<-zVHA<K)b)W
zS_b$pv^hi(<iMXkm+Pp8ATVs^#3lvFfem?d&ZkBW()i5n<Uk0L7rKi6naIQW#vC8{
zXacOf3S*lL7lA?DBf|u;B1m8E7MDIJ57EmRH140oz*>O1us}x{fN9>zw`^~YnfiaK
ziIQN`{Tv^%RfU?}(BH{KC1?nFvVS;53i5?M9^MR9hwFx?^c?6_;AC2L3-6jVh~L^T
zFVabbpWBB&YH6rJFL{>wW4J7|8kF?u4wB#=b;s31-b84a_^<r{6#)VgC|~Kj$*_Gl
zi!wV(g5ue<4B5SXsbb#=`%yxHq5F%WG#M1giZP7xl~sh~)(uLjrv?bhN)&2`Xu^M9
zzB+d0O3=yjg;sh}18(l_atg(3gSDM~M4+4s?3n3{jmc<2TUr|1={j9_!92&%5vvN1
ze{|c#321`Wpb8ygHvrC7=D3ijYM^obsu7`514L=>s$TLpg2ETGZp1=$@OLdwmz|>k
ze`unv#W8@T$L}(LK!nbZf66`Hlc75EnT>6@F}UD^Bqt{#Q2SOpf)feuH)Ryu4l#i@
z%_T_zM~R@_MiYNkP94q$e2Am6G=&<=)v0JzBFNz}T~Z`v2rJSxOj$66-1-YOhfCBU
zT$q7O*&x8S<Y4bfUo)s=<sH6VtOiD=j$<y*rQ!bd_n7q)GtjVZ!n3SYLHNVi%{*!`
zc&p7H=l|LaE_k{ca6DHAX%mKMCRu(sXjgi-wZIJO=f4`Ue^-QUtLC;_v~0kv9Q)1N
z#SD@!e0dZ&ClBe}LrJdNI~YrLIvaW26ntMh`b|vAL3y1oXVu9`?AF&RRdT#3yfQMF
zq3@G{H8ba0&U54VpYKXcZ+1-J#Hmk%eGO8e;4atU_h%VjYl^L;4>bXW{1jpLFbNn=
zSQ@tRr9wgsHxT!CW023DuItYhfg=lni(^rANW=f;(`<WV=u*n`iT))BO-yEQT2C;d
z&>@X}$yNZHM?dpfBKaUAUjJFWCo?*E_Evz05x`l|)zaPl-0=B;rUh3K3rZD`c@Y(b
zf#Sz8Ys(jGa4yi%)WDh*g&A<w>s>MeVfotx6IVu{f16$9m%)m}B#9RVa}1&U0$<SP
zWg55^UM-xG$cj=ggsVTRGJq#4zBgh27UuMp@y6GKtf>CPRTGCXePHyq;|M<e4>Jso
zt4>>CK{~NUj+VUoV4K9kw9_<=japEhID3Ny4KGIPAv--NA1jL%b^3~>h}bJs>#(3;
zbXIyTPZunq=g=gj1`A^dDa-xEjM}*vw2Xf1z}nUD#XopAp7WHoap);CQodHwyKJNb
zSa)z<oY4fX8Tu;g<W*)=Dm&1bcUv1a+btS-{eR<3KELXV6PVH8$Ws0qDs4EVkZIQ3
zKaZOq^&T3y$Beofx$Kt%w7|&n(t9oICH$6Ujq}-`%xHAno11k+6CU%hA3qkjf`3tp
z|K?!Bf;bjJ=^Je|!GQWx1()kOUOC+*zd6Q&j-D<*Hs7TIO@h`DyW(4T^_Qc~5A#^j
zhn@Db7pyga-k>;fv~33uSp4@s<^mhaCtt2}8=!#JG3QtH6;x;}nA-ntDm$wFc=2%h
zF$(aA8i`J?Qln+zA`8bh4n(^<nJG3$2Gh)X88Ks8)NL2R9JP-NJ>KW<E|)+C?#QUc
zvP?Q8;x7Jh=LZ*Zi&M+)lpw?T!9Ukt{Gvy*O>qn&o!n@4S9cZ~NpQ*OCO69=MwEO*
zg|4NY2UU5Pkh}ay@V|@s`M%9esMJfwg84fyvIr?}tQQ~w%hPdH=e_=qKA5!U668lU
zWBEbnyNKY_G}UVLmlfIlt##t`7eI%HQ0e6)A~2N~-^j0EN8%Pgg3N~m(ZI>i)LsXP
zz@MA9la|JbB1Rvr&HD+VkK<HrErLYYbmIzr@{S8BsE?W&2#KJN;zJzM!|HH<fa&bT
z&)leSA(dNmMid1&<+E1htAomz-k{|+5Av_9TYEY#j+&hlUDkuup<}QrBT$DASt{6`
zN<A-$6f*12ih8QUYpEs%y%c_=6VsDkn<s@Pn3oee1Jt2Udwp_XNdRpZYY(xtNuytK
z9XDul)Zuc+%R_{SedwKhh4Wi_S)_CaDf5o2gORQk?+~{zI+Dj`80{d3!W2VfI^~HV
z@ZW%qdYcIHE~t8JP)<O3OJ=rZVMIuM&!e`GD~43UDjJn}6_8b-&<ybl5$uwEyUk)H
z(6GzufBtcb$k=*4+R2dwntHA}9d9L3s7heg-)SY3l5pb?!wd<IBtfP^n-t0ju6Yz}
zuY$OW4@<A#A%g<XC#i)m(&)wCks<XmRrDyw{9Hm11w7*0DCG+>$Op=C)<rcm@nR|X
z%rOm^rbIIvvdST<3Ern>tVA@+b8GBzfF?-Sgmk`=B_Q(|{`RCKBD#W)?n>lp!EL$R
z17~#P(IDfY!pFaeD65mG6f&$0D?DojtDt~JGk8<Z%8}5@Y?9VXEnWCmW?*noM-lz-
zJ|M}UPeOt_$$@SU^kBSL^v|TA5^@)6W<M=MLLOq<ZEB(hK;0=9&OD@qLUUK_sYZzC
z`JBs@&|E{Xp6;-g4Od3wK$|)aPa^W(Ejx}eV9+_kx-2!Nj07gB^}K!6QOWxua|SZN
zbaNwRf}nzYtVG$RD^yXPt%5CS0N|iTUtTsv1@-J6S!sQ!j4qO_SO$(8!zfiil_-k}
zsxFt^)^k-vY({s^{2nw0s?XQ>;HfgYv3P5=W1N5rqSZcRtC_&6=XmmKer2SyRo`29
zP!?IGng2BpGy$dOceEvKmC#&BaVvk76l(2znbw!Nm;dJDmQ}|Uk<;MtjG?1A@?1Ie
z<j_qM5O4eA_s>EB<rHM~eTf%BGA2RRzY|S>J#Bu*h*utU6S9lNxcHIa`2vM&$4#II
zMfNzf%b~uw8=hip+(`7s{@qep6VS_Wy*3*pi+((z%K1jmiqOJxY2%17yl<5kJi#G@
zK5S6cF#M%M#CN~!u_R--pDes|vP=pU70voV=`PMN@=U`*$rwUKH<sG%BvIkML!;QC
zRXpC8XE?hJ;9N<1+&3z5<i{^sapUd+-gEVP@@X%Cfrf@>SurB0P?Ot8WO)kLPEMYJ
zB@7DVvYK)PgwT^rcdd{+V|aFBFDFF?gS_|opX7%G&<#4@ve3~%+)Uy?334=o>(RHh
zHe2{mj5(XwneQDqX*H|WE7=gNu4d>2kMJO|uEGiB<4riR^SJ<TlL1(S4S5WRa--hg
z?Yh)d2p>6Z{VsG@9~|A@r;2lPqDqNRE8&fe_^P9g>5#EL1Tsvm4eGHWw{AJ@)aF)v
zXuBjiFj)`Or;l6ORWYOH!-k%3tb6cpF5bHupLD@Po9|R)1S3+oXv4YieGm`6&wEKi
zK^H8pY>vOZNRQla@VXsw8^S$%FUfLU)PbT8F;jk>v`Aq0zrMeo<9LP5@VUvoy9jXZ
z$a-l<gX9wg^89{($1lr2y?IVw8;ZW0q^)pKqe+(|x2UbA@Q}V9fr4T!C=yM&Uqic>
z|0f=p(scg8S1KFgwOF(uEJ(dG?cfexLRX?x={t*8TxC2b7o`d7m6~Q(r?&6|D;8hw
zWh~%MgqV#3(;C3m-Bj<|zlm?7<RMDrB5q$9^gDfz6KM-P?cdUG;=*k7LEb_CaJEZ)
zAHNJ!ApdT=pK9C&KGQ2P>>ja#Z{_|^PS}M4_v6$X{?pvR^<OJ#FkD~5Tb2=**$8=$
zC+Bl_6gKclUd8N@mJPiBP)nt?7a2mcM;4?VH}EShfpil*+xRKYVO6!gyi#O%SkU)!
z1Fu+Bvdy@(iwB;Y_%{_r0$07kN;RuZyi@qqz$s>GMCFty5yL`)g`z8*99&!YR6nos
z`BOBAcG_otzK946bKPu{Oxt+Sl;Z5MQCf5_f-2lumk7;b>`gdj2PYz<GRYu%L_B%~
zC6uW{#ZkU(n`^uHc2WT?vlt_4{9s2_yr2ebOHNy-u2G@c=Eqp}EED2qnO?FqPy@#Z
zl>p{&YLqM=Z5TGmf|_1AM~!8v!drvI;o2}7G+TXiHlKza^#yx}ex6eS?}~Dbzt?Ed
z!^#vE(qT?i%kb%YtFsCu(`AbL_Ryh*DKh!}6c;isuz&8^p$r~dCSw9B3}`kqcuU8a
z2dN!rG`zUyr^NP!pC)CD$YzMLX8eX1IVYSPQyfqNg)mFx@5qd<H8MZ;vg1c7l(+-8
z1C-!-{PetqEGwGhcsnb~CWr)^$C(cE?D+_%weElfJ9_HnX1F%957FvR{h{hogoNhM
z614-I$i48}d*3BtB=lZCyzz$O9)DJ1PJ>+NL2PA8m8=-repe#16}jiRvDN>aM0pTr
zSU&sr%Mz&Pvk!Yhh$1)%UXbg(%!`UHd3-ZrkV1SBZzGGY?0E=pM8j!%epGl(KdseU
z8d<#9cH*g11i}|%k=iE$h+B%;<l-k8R6zUOmB6b6vAX-)_yYGKPdB(b;3<d1Cw2<T
zvz6dUT5VZ^gD`S@7boUSC681bnpo*fl;KWf$n64mQACKNGR}UXfH)Uli?7P4KtRrj
z)c&jDs5@Rirum!_GD(i0e}Sn2vOg-=86b(6$8<Upja1MB4V8t&0yXF;);nZyR|<Xn
ze0K9Xs~S4)5?|OOPJ}r^^=b4|8WnXLyGQk_Ba0qyi&lOT@boAxHfzeFNznsd<R&6I
zwR3;pxCR-7cweo(OqWATpN=Z9rIJusFWVuvSPGDyea)TtO+Yc4srmH!WOU3$JX&O4
z12)sX*0>ofplc_FCKlSsNU(hHKe?+~FwSlDVLMY1iSU{7NGVg$+`$$Hl9>){-O;ZM
z?^Z&m?6+E2k5W+WcU9Z{qIytR<}H0`Rv87@uJnsrP*CK}-v-wh48TX`A!Yv`6=duE
z`C#2&GP;&yIUBcP2n6nevy-n>(Yr?0AKH#&l-ZGGp*M=b?R&&A_5*4t6=e+KK_pa}
zDUxXQ5kQwGj-~&O8al$%VmE3|MB^OwR+5j6A*4p)gL$bM(mi|U5%W7$6f0C^T;^^9
zpBs47RnDrRe42kJ`0pzrgBB@;sd*Dn`<cUK`$rYc7jKH}GnYqAQSV}qyD8A^q<tz9
zRYfL;`h5O$%OGiXF4m;Grf_9>LVJ@#1>G}b<ZE-2M7l=DLM9qap<({w_N#U!q>`HT
zb5L9unaG_nORh16tSJtWX$M7Q`PAo4)h;i3J9vcQW2PzaevcKdtdmD-^AR3fYi!8d
zX_mlq$P{okIZ01e0{UO>wV*b8TBO|b_{iKp6FBHvb^hxiS=9aPCw;5d3a<P6gw$f1
z3Dol4cqNc7jT+l+b_R*x@Ok=~DoJ4zNK%!KtL&FVS&So>_j5O6r-JwYYbZ7bH~VK9
z56#6<=}n&u^M5}v;xguKC~FKN?R0u1HW4&Ylx|;p{x4>A=T?BhV*uwhJ4O3lL3BYq
z)v{P?1?#_`+;~?Rpfx*d?1?NtQn_@!I6Z0|TTA{na^@rk+}^lI{6!w5_dh0LP4Xso
zTh01JMvM^<y*5`3xVcc>s9a(9(=E(8rN-sTO+(lv7226pv7)4=@(gjlZLB1${mZj@
z0|@Z0J(gI`h`58!JkMI*!ag}q$?X2o2ZF$3y<41gsFKM=j6HG-GkR0TV=SQ$D?uxg
z>3vk_L>13(c(aLhb%(y<ch`gAznNuPA2;#OhEk3(pEj`AVc#cQ#kvq1ptj0Vwt`2Q
zSUkv>T*n^gr9Nz&)`6enPp{SrE#mGhabYzJYuI0XgO)md9k`b!et%)#e>jEq<m2Nk
zYgmx_uiLk-YXizOwtX@C1NSTvDEXkfin+~`taj(L;GB%VtB%Sj{=h7#b3SneJ1DWb
zoo}lJ6I78hDhvHME9)ck+@)pg<?wokY>g%i%d-W29m4Ut7|S@-E6W(=xX#EiX-%Nw
zI%fBxIUVCxut}qbWo)WPA)WKO1}yIvXE@Q*h*>ug4i`)B)!}^+z`~#bPJU9SehK$s
z+S!37>uSqbi`BHDTpR^F=NNO@o_)dw&ngq^PA+4M$Ak<FHpoy;{3YvB`xUz--T(Yd
z+cM^9^~;eMLxyWSp9EY;-!Ne=Z|xk%6-;>X_oJ!pJ^wn*d#ZMP5=+t4(fr81iVeT!
z6S7Ps!I{_U-Cki+*ngsQ6^#E@F=@jSg2r4VcyDgz7O?Rfds&nhc#vrwds&ek+*nA2
zCkJhcBreQgy+4k12wHDoM=U80^+Y1nr)xUO(9U5}r4qj^8#gfvv9^BOG<BF0j-I!)
zUcla5Qrf2+u#Fk={1&HbP=jOT51wAX_ZRc{Iy0MKwTm&f8F|I8s6wQm{QpXsmay2l
z6&>43DsbYC4x7+ag#({1*W>^Dhg}OVo-X-H4Kx1@os++y0#`Dxr*H7BVDS0I6rCb1
zXdh8F4%_>K;T;<_InAq>VqM1Yk32e9D!J*qAf^n@YSq)fUth;YS>IMms51cdqsLw!
zqm|%;lY@g-(k5mS6n*mB93v$7xA>hMRfJ14EZi**x3P;}J`xop%usE+giBf}f@N{t
z%iYCYjC#jXAYh#p{IBl5Jo#1uy3bY`DeF-~wMjOYoiztce(E?rq^AJtMiTm!H)(+W
z<tF*k87}ym+-juXBoCAQSB`P=(}8I@^Ly<9Ziv`CF%|A857fscQX^l{L%8Idwq+My
z7+1<{ezZu~%eR^``wNWFWjw!?$iNQ)H4n7p3ki^Cv2VaQkQrRZ2=e{I0`NGam-FUP
z0+<NV$%>`1f^y;KmENI!z;;<7>9-64YOI*)7QV8B#HSsnC<YOj`Py6&NJ9W5SW>V?
z;sSo2C64<(VsK|t-u%~!95{Q1{j0ss4L5fmKKQjH0W}(gi#c=zI9mK^ZjOf+2L7y%
zy>gd=w`ocTOw|ccdzLY<?j;|*W@69kAC`ue!6$tl=Lry0<$FpgMgXQBSVqK!$$~BO
z);;Pu0`T3`+-5(y58mqR_!%k^;BSz_(o&i{%w<*n_ccNo_6HR_ySXY4VP=m_UmaHf
zjw4My3C~60ip$!!zORa~;e9vFKR^-IOERw!c_bit{hUeK2W80DboO{%qXY~O-g8`j
zF9~HS6XU18sKT-_168Jt3Pi+`E_%pHL&lw2`kX!A{w&$;_*P2|X5>wpU#H5zm_*nI
zop~bUn!hBz&?kc9KN+pdRB{k+ZF*UDk_2X*qh|zD_jvM}k%oU90bGms>E$(%;ljDA
zj}%xbuyOC&QpK)3oVZXZB^6JBdzZcZp4DkUn*rl8U92MP?#?7i32DGH?9r#WTUs#1
z-Z}TbStYQJ2`@bzr2*?86)07#1HEG64t@Jo0Ibd_sN`yZd%`;XM2jBS^WJ$89IFb^
zhrRBIoz#HCId3R5n+7m5Q_pIXs0NiD5+9}~D6ky<UG5tRgZ#~A>S%j)X#FN!pGHps
zelhB9!BPMveXdB}VRhI%-8FsuBMEfnby;4P7{i9fL&76wB1}I#LUZ>h5tQt+g1)4f
zz{Aety_Re0U^6w^?y9E>y^+8EteBfZjWnhD!xeQP^9){kwl|N=SMi3uA50;#&iGjk
zQUm{S2WRm!a-h>Q%*m@^22tljLkmk)fpmv1BE(+`WVby+@A#O3ZtuI8d|MUJi&F5L
z;T3^quAq1=Uo+^k-|V)jQ-a@f8AYaFdBI&Tp<)%xpq=Sy_}rQToDZ&YRjp=$d!}W%
zQ5&XkM^`&YLr@-8y!dF^UhH7L>Pp1LTc!{c)Z-c{BL{1mX*aCKr?52bpRREPQy8(x
z+MZXG0r8&G$_Zut_&b+(*(r}qV1_nD%s^8Lv=%GBGYJ009h@nb6D0Qd<Oxlq&TVnH
zd@y57^VbH>9u;X;n`;bbKD8;duL#4!$?p?C#HmsI*Vi3hY{qcx!?$|T1VPB9zx7N8
z(V_trzrxpv0A*K_Mm`_lgEUbCc89C<Xg5OUmO3qfa&*t1IvZ|qD>jw!f53n~3vZ2(
zSTU$wHu>o+%?{%4Dsz+!7}4hrnY4$(MxZD0<jnyYCg|BBzGw+yM7Pe_SA5bi1f9aZ
z#K7CMz<b}1cG`;(H9JHIo_8?-nw(3d7|vZxbtqojK$a1Cd^=3bepP?(?ykR0tXst#
z{RR(@b}=9&lec|;a6K4gGry{*@)t7-zMIJ5$AB^l8XA15^Z*RS@~eubFj_P%`<{*g
zNk<xsj9KbJkbQ2Ph20lSBX9V^iBftLHE1zkou>os`bKx#&R1g=OWTDD-t=fKBV^cb
zUK?I(H3*aSTJhg(JBfWnden9P)tOjpZ7>Z<4c{*}jAJv8rWu9kk%02la%P1VMCpE1
zQTjTGht;YqT@$BACUd`HtoLa_dX)P6IHqYlV5Hpkktsbg^SWypbVU=&Y5$GRy_m;o
zYIZLyCex#jM_A7_tndA0rkXb%F^l-v>SerrkskRJ&j<5_YQX-btlGPa|M2ylsEhkA
zGN1v1$HIYm3fMl+O5d?w#i=kMI7eheiKH`&_8}Cwe*3zwPxd-KJ%2ddg^>yI)_G`1
ztdZdi$~UL#-Ne6q?jZ})Gb6rx^S{dC$xt$<G3ddxgEOu)q--g%pk}kSHw=7au!$IM
z#$~8buJh>r=onTc7cM2IUqXU;hN0I>R@5kh+bh;|nGG3w-sL@IN`fC}(o;NRXi%h&
zmaEMj4rIrZ(^2`I2&TiUF%hq6(UF*SIX^uvl&!iZaX5(x?@TV~q%zW@;my)+DU2Io
z3<DgONklj=zW?3#00wm8Wr7I#I1lo1^b?>otHX^Wj><JZ8Ic=CYr=nv7l~)ZN3W}^
z!@%fryU}@OROgeV=Jl5k#Xq4EwRoxqH|d7{Jy&Bzo9tqv4SoU$I8TrbDQfU1fv?1p
zmK~||ef~Z{wGY*$yHAk2Re|_hr^jrI1N9auCPmZ<q0MXL;Q9zv&}rE>5Sqb-EJ8@x
z!ucYo?*hhCrJ)LM27cR9UUH)!3nhaFg<^=)yK&lpNfos6);Ts7c+dw&CQ14Z36#xb
z$@y_f1==_Y-yYh}hZKSR;7xWZv>R0V&3;1#Oc-_V<-g)bNw38R&m53Ooq9EY=fzcl
zP@Y#M1A^%9pSxWp`7)?H<%;IPld9mRe8*^hY9HDjyGZfhmPJ1ujMq=~t3uLedz<p7
z!l?31mjO=*0X>s_>HX-G8Wi$=AQz^JA`6E*=1NQQ=$n4dzzY?1c%t;J%qLkK38g&T
zlDedbItCj8U-A%v`k33`SvyH&7Ert-!K;kwr?r_KN{QesS3AEGAce^8*4Miqsvr+3
z-GBt|y?wyalkiMwl%d6%EJsvBZ%n(I4(gHNso_L|=UW+c?yc%suP5s0=Y#>5yaokW
zZqD6rS&&6Rt+}ToFB6eKk+fxptp;S8urdE9M?hAhu3|PqB=jyX;!tO%CWxky?52*$
zBj%sIUgvX2D4)Ms*nVCM2KtZ43|vw`L8YTB;WH$pEHGo!ep&}wea=+Q-%>=}Z0gj*
z0%Y`dOoW`fs|z-VcNMz|ln{fknj;k#8F9Q`v!T1M574v``M)@2lsc1KU)E1TX<L>-
zF4l&iMsIhEpr?X@H;seaj*?KRQOr%b1ta(y$aPwyO$9aGc<|@%10uSvNBwyL05UYI
zi$o+;Q3oC0?n;O{`ab{w0RR6Cmv=mt?-$4InZ5UVY!8pU-N$1@k(rg9h)~hAl2Ud>
zQhpg<BMqa-4ELQRq3m6DwvfGl{<>bT^VhkqbG^>{{qfyK`_JzJ{C8{i>sK8-M&(CR
zw4{p1Y@8mP^UKr+O3BOGCj{`=4N(@O*#a3%sk_H(R+0!?TE+|Xs2pb3TozY0B8h#D
zy6eW1LWC1JUgu45a##&ddByk|4m)p@JpSu95t0mx%Q7uxG5KPa<Wy2o%(0R^tCQLQ
zYHL;mHcVx(jUQx8r67pKwcp*-W;KA4GL@ztE@|xc%l{eXws2#_lv`xj5fQA=WQ(B&
zNlb4)|2Jm?8}@MC4>{~6Ld4O-Fr2LfHYDX5RU68Pk?H)Sl{oGvd9gICr3Z(tj{EjF
zrcz;<qXHI5`a~!wqloY^7sLK?KJ00Ke}on@-J<rG)Q3C<kLHH2B3Q`8_h^&QbyU;)
zVt`wiJ~%$|2!CcMj5+gIJX~m<Mri_8ZlO&2AUzYX^(RvRg8{QA^E(~r6;m56p=^Lf
zH^anhy}a01naS$9O&RjtxUVoq0f0KI!T6jqH>NQ(B69It58@Eg8ANgif#+Ve!c27>
zm}j}2V_VB8!X@}6TQNruviNVeXkKT-iYzkPUb#*p#@e4Qu(jv{rBBH?sS6ACaz9zL
zL-`Mq^q@WM!IlmfYh7f1HOq))FW!o0sQZJQsMb;-m(>CG@-|<CYxG!}$`uD1<3EV5
z?&YxxFKw_ROg*)9q`@AP{IaoUoI*NS)f_VNv><aJ`JP4!C1w)eLwe!V1Y&-RA}e`b
z6Oc_IwF-W6j3)I;`BU5&(*MCJ!d*=h@|Kip1y@KghR<R`M`6RrxmOjxzCF|c0iSF&
zO{PQC@u~R}H?Ka#PU!6JgAsKgo8bwot=UDJs_aNoB{~uOSq5hpEp^bjxal6$zlH89
z#4v_q-w>gaCk%}LQv-VH*sh088>pK6gQo9KYmkvlW6YgI4c^R;M7L|Mp;Bhw+yq3Q
zBNfhGvZ8*f5XmK`KX_>seMQ%WQ8E{zs{21T#RgPhGEzd}uzeW~ESh@r>N|$c?HhXO
zoKk^@w=_z6&6d!50Y)nhix#y1zn_Cfm@?=FoEDdb1=QNNs!jZ7CrV*|a9&VL8KlFM
z-bQE4p^ZmLsV%O3XkcKKZb79IxG)7(uR6}6(@|sHhT}sh|0#nDjT%Z|N>*CAbZG|V
zUt3Dfbsa?yTcwH4b&61T;XTpz_&>#13eDVH8AnfkBD&ZcDMDLsdWO-}Y4l@IlVzCZ
z6j~e}FO%Itfag*)2#dosIx`wx%l&v7ZP#9&6m=uO*Re7q;m~RHXR2SW#qKORL0dGF
zKCS@C{hMCnebeaQCL;mghy^rj|L-qBdIccamU~}uaR$A-?7p%t`WF>4wO9J6B@ezt
z!}ve)v#8~oT=>PCE2!Db)*)QMgUv&Qr5LF>^d=cu_KWpZ)a$gQT**5*pi<6ecyM+e
zo$C7#Kb)|JzL6^)SX`8afMJf<dld`l$%BvxHNy?GCSY-RQCaqQzUzAv$M5Xwx#GGh
zxP|_^v*uqADFZdNTMTu)%jlyo;e#JVc2J2Dsx{tjY0&3nTfO{b1^xNh*3Zjo4_y>{
zOl2-B4IZb_C7+M0Xy?#5E$6ZWbY}MQyVJ2!Q0km%bz%D-dPmdPsZ@dld&~2xU4BUt
z3LY-XO}nk5s?~Ll6Un65`P61UUVBOC*$unYy0n2B-JDD;5Fy9PSMG}=-z0!Puh7pW
ze+#`jC1F$5M}akI6mgB|N&pqjtw5`|9W?r!`)9!lDlB@IbjJFVIMlx(?QhTCL$CJz
zmO&b6Fw<a81xgTyJmq_fAxj77A?x1CZ%TTs>8fFWWE&1BO4`XkX^~(?iX_UoNCqs3
z>t5bf4;&0GOn9ngkz&co_wB6snXz}zC&u3$iGcu_|B{&`IaX<>wfs7r1zXOVHdlEq
z2HLa-!QRLH`S<k+p44N*vTo={m^zDrj=QX(`g<x&uIGi{LplzOb=`O|P(Tbu^(X4E
zDjLkok)3Itj0;P?voLUbNff+vxoR!e>9Cg%{s>da@?i03pj`G(QCKOL7`W-ffXT4n
z6Rthr!!GxKc8mQY3U`frgrn)1vDsd?tPk9Rm{PQtokzPUTpm&*lHX^+y6&<H-VPGR
z{HjZTE^dgz;V<qdpM}`4)H;RK^-U2>dm-gbrnVTc%ZZg3jk9C_)3sKwO&7y9sxOxn
z=8HktkW|!G3nv!3A5SIjDvr&Llc6G7IB*U0mM0nI#sUPpuzZljFd?L3?g$4@!)}ra
z3h`lzSA!?+fizYSVpi34C=T0~yl5{a2w+Kn&sPUJ$zpH!B>ck=NnoBD;EQ7u#wxZQ
z#b{&kn8PUPb-7k4;BB35Jh~x*H4}8O3ylgGZf?FZ?41l`avntzmPN5ivr%P~L=iKf
zd3n8WP7YQwUYyRpjl*8f7F-$TR>DYK%|(ln6oA98Iy9730uyWdkC`Z<jEN>Z4^p>O
zgf~)``0YMQVmu13dW#rUFt&dg=h#`4L3PblV8dP-Tf9g!M&F}?IY)@3ZP2JfMu)`+
zeq9Dj3ZaxBIj@Rk;oVr`l+}T*<Za<XxEyw`D3he4P!(fmp1tE1qX}AxR~9eL;<32r
zv`p2xs+cb4a*xZdHmDr1FrwlLSf1uBn;acgY)jMY3VKryZc&#SwXhK|u4lCl>sM5;
z5dGXHm+Js0qsDc_uMjZGL;oTJP{!^=Um}al&<8>Kz-G1_0v4Qpi~Yg}MQpRgwr;(E
z2y#@ruTJF?uvrT;L9ToS%)`3mY+9@V@G(nQC*LGs@&no3Ay;Ivp#iHzOw$m?aE!v-
zJOqpwl}8NNl)%Cn)T~X*41qXa5HrWEfSD$q@mIejie0<Umrl812;5;c!qbI#%qg&>
zz=(t&TWqwn%OW*`X9XVwr1xa8Qi~fiI(2NAXsl1c<cJ}N9<bL<v&vvO<NcKdPie42
z)~eO=r-m>(aq)vPg%oB}IVEDRw1xim5L}#-H3aYaCXucYaSY4@{d@C2qQaxSq<Y6U
z4~p%y)B7NXX$N<a-pO1+mX1y>zYsQnX9shxbTJ}WqrmSWjh~0epUD)Oj07T-{EQc1
z8WzMF9`Z`L^-(};X21KjO?|jSq4fBCH!rrW8$5G*kOnRhI})Zn^g%q_r1}{J7xrTA
zR&`GiJ^UOLH;n8AsLk)CAlzWXgp2y;I3F<p8Q<gic4L5;|MZ?($T4Ht5>|$VrHl}B
zwp++J8i895I}_=abQs&2oXGPhnc(kR8pW_UJ@C%yi^}h!z~p1^bN{=>1f%)WpV>2X
zA+BC~>rvSesu2_Vn&`{~|5V(`uhr^+lQD75t!@+DqSUVE;bsC>!tUCa8EpuTQ#;q|
zv4pC*2$YW1F+#GH;tOs;Z4l2PefxdxH+p}Vt@oxYBT&*eJb&n_1$oJOuMpe!sQg5{
z(jgTi40*?2S9`4qry$!*iLo2uND5qx{>%Uu>~@trcQxSDoDQ$@+$2JoF;)K|l>ykk
zbtQV*YQV^*lGam$C8YjMf3S8e1KcBQ2fQs;hZ)MJ_gF^$A*MovFJ9RUP`3QLzDYnG
zdi1qfOg?QQ`XOdxwj&HsOIj1*oS+5`s~>l`PVFM0e>vqY7%_sU?na^nsTzz}e-zz$
zae$au;sV|J8R5%<bn05DD!AMC?fuW01U^XItSd=n0^k46s^smfK$Y`*s;D7SXsQm~
z{|d~YUVD%#eNP1navVt;%*df=e^-(ACo@d7eY$#|Nd@dZOiebcC_s?4)`1Yr0_+zr
zMK=DY3>CaF$!0hzcy;%qeiwliVo^Fbnq#jJi@EKboI(xnl3p;UP_qFQb?Z?0fD-un
z;AViH7K*2DZ%AyjK|V!MmS?yUge&bk#yp|}>sErVH8}^IO1wj)lvaYCS+P7v+zC+S
z=v<qT<^&(|JDE+xiZC|M-VpeM0i++Sd4KWe0@sJx;e5{&VVhrz(JF}v?CzF2G_-Mp
zoFYUfIVi%+SX7pLIWwp})_PQZiWj^EH&q(M6d}`c_pE0r3s4VDta#7xK_r95>ELYw
zSf%_ZHNsdSXiYlUEmr_mDiaz)`Uy}TE^|hIj16|~Y6Wgb2tlDp`$GF?0uU-=-Llv?
z0B7dX&rv4~+onaNaa9D6cho$4{~RYMNt$+QwTM7^SvJjhEdkKz^cPcATwvT(8*eu)
z3bSlK67a`fR5aNleN&DHcrOGB`7z@_^JPu>^cn$LX*vt?DtMu_*eGGu_?QPL4k<IG
z6=6rDFh9tiAI@uU&^0}jfaD+cyIVnukQ&f`;u51EY@a#leb_DuOghyW*`11TT8E<P
z&X5qay{X;*$tMl1I6SBJNhLtXY*IFU2?Jxt(dH#@8PJhmQ9a$O1g<&iywtrS@S-)x
zW%Z3L<itCgafd6zjOY}xpj#BAFE*~99hHN~+mfR(hzg{?<5dam69b|7$+f^kJmiHv
zE8XH(g<mWJA&EmcDF3k%M}H^}TufDY<Q!@cbl>Kj@h@@Uu>D6==urUibscvX33Z??
z`KIjOF98EX*(n;@1PHa<EK5710p@*KpXI+vf{l=_hkgJ7DhLz=(l||+PAlVtS5nX$
zZh1E_lmO~{nS77BwIKc6u+TxEG;p@vVE*bsfV4pq>j|6=)RbQ^e#IvPpA!u~g$ocM
ztMhhPzztn^FV2_s>Xi(jk%s17P6|+?An+GM^?*h!Bkd2JESP9yg@@zhfxW&(d2b7W
zmPf@8`3+@(N}KCuVul>lr>k1Z#seJvl#7?NkOe<ulfhT*GC=V(pv03_AK3hR<V|E`
z;hT>iJ8iQR+%5iw7zXRZZXl*^)hh#wlAD*_Ka+rn*bgCgP5RIYc%5=98DQ5MqQRTv
z;N!>t)a6Nu!0>}D=6a4a7~c?kV|O3|lfDB<p<+Y`+&e9@cFg~-x+Wg>D?*TR_4fT;
z{Bf@Q@xHF0TN1`|#!oA8^Fj8N@s!h|L}=EzW8RKRfML?=cMf_k2$6e_ej+16{ENrq
z^l9SIK9-ITbYcVQ&3zBbE`7LGnJdlUjyv{|H-^_)nBnbJ>S)#!eNbZJo+pZk0o9Wq
zeI0&u@Xzmk;x`k0m<sx*lr<&-y!u4X)&xp$h`Iwq8vuA7?W=yd!Vu!-puQJL3d|Kn
zffX+SNFVnZSpO0PVPc;qF?b&#$zKh)i~v|YRgDmh<%d2ep@R#jwvh7pNBXx=1RVD!
z>3D2-A&@^?$lQGmS@e&L+&It!@@<pXF?!sPKA!LbOISfV)c19Qb@ZUVZ;$5U8BWOC
zt4rXpT0+b%Tn_Jt=|X$K%Z>2+?4UB@TRthUfCNyq`k13Spx`)j?eRD(r0LTgoz$I2
zJY7}7Qz>=e>PN@7DHmAa1udn&_qBQCwIoC6xP>;%+_^5&$HWZ8sk=`?A1@%gKk<*E
zGPNK;H$uU>o&i4A9X+Y?UP4alvY6+uYQp043L2U`dXPC!-QCr_jEKBC&*WmN3FS9J
z)s2790;6@6N14kiQXnGsx-ee@B)6K|^wnq}-SVzy4*42#B;weeK&1hX(nGIv4pTw)
zJsTb8?sY_~Xku*Tk~$>xv2e{+Qo_r6i`Vl_n@Ch!;nDYAH8@$D%XQF90cWn(W%~?m
zBSNc9(X@tYFng-Qsf&&RI!jtVeW2e%YHe&Ib1GEfG0E<_bO<>N&Eu~~I~^b)FMl`1
z;Z@=K$?ba_?Bp=7Y8HI6=?Kvz%%h)Pt3Yf=4aGq(83>AUtl_0eq32cHj*^rL1n}uj
z=G2kF9nv?$#7HtY9hzP8@0~JKZYRu$e<y=S+4Yqg^W-p~wQo(Pq70h)-(yI($bceO
zKwr|A5<&!1gf3%BFteD%$zV(l!7PIu*N><`rlzvZ%t{IJm7cSPl#|1Ag}VXmB{Wd(
z!{=Txtq3NR=Z`uKDIj{_>0_~QIyjTXC)*yW2u~MXd)L+|fa#A<><hmWK(VE>^F>Gz
zvW+<OSiVrg-mj>LN1=?sJAV5{+ZO`p$|vT&E2RP__KL(7M`nnLJ?xe{-a}61RxD4x
zP{WTxkXMdpfpDX~59<5`xZ>&EJ+Mgwe>TR$|8=th%?-bT>>LF+!*RW6)SM1pZc(*U
ztFgm+n1R_4j{*?&rmq;Z&;#w6@LwTi9ANT%TwXOx9z@FC<opg`fJ2*SVK!&DU`U`e
zc3)W@qQ_#IYqgl*w~Fk!BpM!Q@b+E$IEV+Crq_#!FPNc9@WUv>6fe|0QLPtC#zXyq
zW$L>^7FfJ~h&-6!hn~d*3VSy^baz_QF88xSN@4W>&Ql73DM%wl26&*cRFZhi&ki?F
z69al)3B!-IXXU^2@!<bI39?V29B_*?a)08t2rNaEChR!l;e5eCe&i-6FwT3ZmP(3&
zrtSX{Z$HOFp(=apmqc!G72(%@dJhLaodPl{+jwxl_;*H_$P4?Oq5jG%;_zhkOS^NV
zJV+K^9P41?hrz}_SA8x?0@5DLa$QvcI;nKJqsat;-H_Ls@}Crl9>#X^FcM&r$^B0@
zl`w?sKJqQRBLgatm(LczB*4s9o*!&HB0%iq$WCFDgPF}U17A!O;UR@^gqXT0*o>p{
z&S`k~YW=C-hg}JpPnNTnxr)Ka@3ov&W(DX&KKiPXD#L^DCiCe89F#Wb7k~x<q9O%b
z*_l;<4KJckS1%6FuiyOK(nEl*VGi>ZP=z<v>4fMd3HTN!L#Al22<8zN4m^|9pg5BH
zL>Gq?{5-3*FHxlkQ5Lyf7fCfBJju5^fglYUG+dD$D~cc}RWr#Ks|jvD3<jR6$v|xc
zKezCXB0MUky_6`b4c+WA1t!9>Fp|W=-r1%IcLdC^mPQ@;l_=cz>yIqBNzgyUd=w$?
zUHuFG3wpp>^p>UdjvUl|^L<&<e9Y7FxtB4={CYXTw{A5f2TVm>478I9U?Z2S`MnZg
z#|rb<;l#sY#(#xEKk=|{Vn3Pct`8(nK0l|Y$AdtGHT7#xS#WLfPaIm&ho?htW&VAZ
zgW;%6vE*_o@TR$b@tPMAw1mW>F6zhu4S&U+$f!8TDLij%tRjLqRi#yExGapz+w+fX
zi-Lwh$d%zmBD_}0m9dSJfeFNO)t~Q}5B%K^0!a<PGi)Vuz*icEd1#t^s(In3r}k0q
zHW4;z{HtYfQsCaeu(kY>12#Dw>Z^N+;PlUKkgq`k1ZUT)kUeH-^tSTKcu53bYmvGf
zGjXW+c>lLeGcEl1I!PaGMTBJP0$0yAF(9+DZpf%5g8-L*!Oyn!p~3WN&?!?<X!j~<
zH_zEYva9B<<)!KaedZW)wnZ3x9w;gVjxHmnx7R2r<@6!%OPO`!TS4gJ&p0#SJBHBR
ztoj&U51`if_qz26AG8GLbK`!0Mjlws9qC&DoLb)>y|2atfgQiUYLtIQ7asff?;Uf^
z`R4WA>s6dkWhBg^8PtoG$3KZ~pVWhQr!5M-eb^x(#nO~e`5UFPEen4`uLn6TpXkYr
zSmET=Xr>=p<EV30hQ<FhbU|K;mh_DkGq9b0KkcD7fyP~SlQg)b1JQeQHV!-taN}#u
z@F>FsI@ocoY9Ut}4r^U$rRHdXO}aT}kaZkQNq44wHK7GKuH?LYMrv3TF71Hj5%m1j
z%L^`&TA;2GbYkv41>Du__f6><LU;YA<fgA`LWYH7bG$Jb3{CQ@lymi=8w*tDX&N+u
z*wPg>Yfb`Ja~E_rHapP6e}ASQaA^Q-he%es%mI>}pMN?~?Hd}D+b4_*QitD*OZA5G
zyGRPRZKdPmD%9^=*FavU8Z^uKmN2~BLTFMrZFP3<qfTyQ4V|iLV3#rYtHpN%Y2K%E
zXO}BOIv+ikx|OL4KQF7NQzWe+{u*(P@(zuNlh6pOAH6E9ZSDwAll(&*-#j<tS^0@v
z60~HB2vdQssb;!`%42U3BK3J#(t`*&|Ljj%RR+-?K&Ifbj0lm1(3tfNBHm#xQz3rJ
zAenf-HR96};+~fN;px8-q|Z?MP;BNn*JxaesJOF;Y+v4yHl&(Biu>@t1AUI`M(Sz$
z*$YViXZ5$U&!&*}+ipF?1x2tu6b<~xzJUBUWEERLm_eSo$UccZ_Ic5kzjjM~^T-2h
zdZEjMb4Xh2{YCi$0yq*jAE%7XBas}ED(Pv9$neLypThA3kaB9648$)W_!F9=f37Yg
zQlvuS7RNk_W{8OwtXV)5E+w&6s;?prFA6&CJrv;1J^MwY`-=#VHbG>d^&hhO;ctN5
zV|g%dnQ#q{TSBCtTMnAsUPngV_}3qN#lz+F1aqUdzeswwV7jW|CZgN;<n%BJ9$sk~
zk00Px5RE4EDZS!0;#sZ6aGEFwK75a~{m534(FAtCyN0_6r|SHfo>*BJnsqPpJz7O7
z*E|oi@9iW0S3>^_>z9Gz!SZD<fi)!9t>3C^?GVxPur;-om4P=IkB?+r*O96&kF?+)
zB=FdZzcwIR8fuEC4E}xDKpf9h)}<h1u#kIndF_uBye(S3=47>nboI#Y7I%{an?3mn
zPID>vC4aa0GVKmxIX!YWD3KDR7{=*&K1o8%Gsla?%ezQ&8Sc&C6>2E9bYHR|NW#}A
z(&{uc2Z%$wd82X^ExdoYO`=vL0VLDC5_5J(Nbu}41L-DuaQXOd@05}RC}V<^nJXj^
ztd7N@`i#KXbJia)aS%O{O3}6>g9}qPFX6+Pp{cP~YtddDjQw}MnU0dfD9PizkzE$3
ztloFB-Nga@i`;ysN0eZDQ}-`P1{)lPoF1)wjRSd;5<7lhYDg6`>23DrfE<n0XD_^P
zz&^m4c=9SOxP3Axi8;pwxwTF%Z3;Nhds4qy{Ei-e?M>6?MDW1+uCVIe6F4xrY<2%V
zKO^9FuJB*!=7T)RQv~~iV{ShZ6usib3?U-v!%{ASkUD#C=ue4*s`^3xupt(hmHr~=
z_(&KU418;YrEn1aM~`zXhz&f0Zm_B_h(gY{LVSZC4qoR?-ri8)0G$S=qM6rX;EkhV
z_vysJlN&4iYiwMAOZ55p-19j9omf7vaeSK8oc&*$Fb`OCAO%U9l28oaxqpdCK-L)@
zU1|qDSS!2TIwdO&jUH})zY0jgnf@fts2Tydp1~<Et0oJG)azI=2PvrD67S~52?J%!
z)y!>cJp4NMF0Xi48n(9AzfIl|fv?Tw=+zJf=w8VD>-0eunqGT_OD&5+>DvgBnd2Ou
zO<Tj%Gk(mu4%ZHk%Qz@}^JL}PZ$(f?g-^O`5n%CJY=6VPIQ)t`&wezh1Oi;$U&ksH
zf$DB=(*6@ku#cj0{rO25zTc2YPCMQYhpZMg3{uj7t9cNWctZuAAGqaMSgAr1lhIwN
z3K@u95MTJduL588<$4Nz)M1y9)BQ<N4hEI=20M;@LjG&iXh^;$yst_0DoMgaR!MdK
zqN*ySFy>#<In)N}^g)jiR37MEqa{{4Re)YZeNE0o50s7n!+I+fK;q(*<v61Xuq=vn
zt~vwwWb`=As2qC}#bNl(MI~^U<xK9sr4N6eJIMQ7Ab{)ZTShEb6@fSI+kD$CBB<$-
zpZ4@6z}sc&7cXrTpx<LI)7RPnGT%6)*69(zwk$tJ-$oX$*>Z};92h`xl)j2os{-(M
zh-h~+O2VTLa>a_*4WYcs$S4|<2Zh&(B=Z%bFfE~%&st>&PJ}0oUfy^h3oLc^SmOu7
z9L5><W<$_a*%2RXmWAOT8&-q+?6AMuu1I`m2&ev>nCIA(h7q4{bPz`mw+u@hMtlrG
zqU*$()`28UutyPpH69?mDI3CeREDtfhh|o7NgN_PqjS0A#*odl&Qo1U2A~m>`(UhF
z3=D(U!*JshDBZ_b32ih6FfcacZ&xP*VY9QTw9mHCYi18AvqFf_6CxmN<|70Z!(=zB
z3`ntRNk84QbNWCd|M#kUI3J{WiH5j3QeqWtjM*g)$G$X>b>>zx7kH{~S;QI9U<-fm
znVxI~5SvPnw6SCdE>mv%ErbrcL(0?qnFuhuqo(P@!vfpyC40Yx(qoI6jY=$$2t0K{
z1!qp302}O3jz{7IHlW9DyYoN~F5*;N1ZSz>u5H?W{Dl+P6klPFLAoyJI<>nxP?3RO
z=a0{RPA4$VcWJ@*s&zm`aN9;oZx4}v8}>|2=mb{xN?Mq9N*hkIsjAr9t|3%IIc>P_
z^jN0o7fl)-ZE)l1;i|tqixhO`2Z1j=c4K+?bFsY^@cJqoaX;xtZdz@!p(p4uS^D50
zl`KsVZuo3d<P?v%sHA27s-wfKe1Dis{?&jqS~2`ecsHuJIy>)kpAKs>bb7{TtN{bQ
z7ORaD6X=rV=O#mMIxK3D7k@TS9bVt!u)QX_fDQzwo*MF@!(7<~Is|Fe;efX9f{x`X
zY9iZAxST+TO$(b<@n2Je{{sL3|Njh^XE>G(6vvJ1y+`);JjV0bv-?<4Nr;vtQj&~h
zRWytW4MI|)MUoX#)_b3XG*l=mMI>AH$b9>BuIqd{=Q`v6|0z3b{=E3#40-TymvvY>
zCrTJjR<i!qht!)~Au=QL<P6&$&SqOKWR}%BnCqqw223#y-M<#e{9M_LKRsMn7P@8E
z=MFt6-1GUs?WZfGO&eFZR4zCEvANcJYPTLd^d58)HDJIL*Sv+(X*}p!SIL_6Qx}pP
z+JnvF88PAY_K*!vc(HzTd#|v+E-<gj%sYH#!akAE9oHB6aQ|lGlagyXu<?PV5(9M|
zidEhVJyyw&+P>R{YOm|SwRYdx(r6YeW{5NYd|3bw+!FnxuBQX~Qp&^U`&cm}`8l7{
zDM5V6bg(VGgAOJ9=N7zN*zw!ZREv&iA>^H0E^$0Zhup`KE^D7T(AjpYRZxyF(pnoC
zis^Jvpi*$`C>Oq4jcYXM6TwF%bFp$mG$2mT$=#9S!J`kWqntntsnnk*)beN`<t?{(
zbdVPtWacG@tHiOe-;B#EkOn7=&eS&f@*|P=U0B{#5_>j0T8k!VaP-nmmm5I>sGM;#
zV}(x&Gg89h_DRqng-iRIYJwoT+426}H7bp2$*qhZm$V^j?pW~eXF_Pn(D1Z=SQZQ7
z_wM%lt_?dX`ejs?gs~_}O6w_$Jnr69o6ORo4Tqrfp^U32etxPgH>IM0GqK$>o`1CA
ze356&`$jR8Qk2!cuuBmybo_E_5~M-ic8NWI9VKwKa6HH-LkWitCf}I-SEsbconoFD
zNwiK&qm2wG<MvJqBJL~=7;-jp@{~xS%sJ1U1s1BftM<`mw{{v-G@tPch?POMkE3S$
z@2laI&S?2TD>^teNlLF8%He$Ky516Y3fieow_JQphv7pj(mRdh(YjORqxexO-u-e&
zH};4Q?92TdiWUlZuhZPAu~7pJEY^vAP}POd!4Z8GXGQEkV7BuTzZRzOgiZJ{=|T9F
z8KVz}lyJV5XJwGk#*^1nvdb3rAjtan<km=K<ZC(TB%(}1^jtk4$!`E92VQYUTv5Sh
zhXcF1l4<DaC|NcIhM?&Y;(hprDvqgf<~jYOVTknC19}NYu)fH9@k**17B8N?k;+NO
z61R30rvYPlyLxj&Yot2H4-1#LbJ1~O;`xZ2vneo2w|;oJnS#sD=c<CcXt<J7tTtI^
z22|gYmce-nK8cPhqnx9mZuITnBy9t*|74aFI!(omE+by`zqL{7?UV4_WCG^9KFKz8
zP%+?IPJ8ANEi9NmCi2`LK&-LsNIHWC28XT*8)ayqS3|;tDw72WWi<$-&Qft|eo5};
zX$n46QcC%7&H~(zm>-XPO2r=+yKm%D)$l_PE6c_q3y`;PQ5pv-Zf3ik+*_uMk6(W+
z-D+S7-J_mDhi_8wm2ds)F{&au<YfJv^|6EpOUb&Djp`^=!{R^kP!2EgX&c-)Z3(o=
z{kI;zR>P~yI=fXvq>#Hxuc`c$B~%}}c<#kxRm^tGs51N|hA(CXi_1MNK|EKOv*x%8
zwk>Y)mo68=7u;+&vve&Xts|IAL0uX3B7fF;jPfB@>Ztwe84KW9@KD~~rifm|$+Y)g
z9H>^qu$q=<0b`4Ue!3?VuysoSIzYw0_2G>7%&5FTiWxgwz|C@+_k^508a$s{n{iwv
zE3BT#rp^F#nTtJtmMx2QrDgUCFXu=O<x?(l*8l`%y#1dFOQTb`6tVnvf-Kw_9x|W-
zU@H0hTGK;G<hK~;z85)2E)+`Z@?It&X~iu@YM(fET<h+!ZSNte>z1ZMaRZ2EZq=|f
z6~(@9tILVW-$<I?*}I=-%|Ta*d)~`J7$bggS!peOB5!hJ&j)LngK=QgTKF+R9Jccu
zv$Jm{yOktGRsGDM_hp3RxwrhduZ*8-{%;HEFvxs6qQDebWyKGM+~!5)oldnLm)b}H
zfs5pmDHAAv-x-uV&4tU&%tJ0&?IeBqqwJKq35bW*sD4P}z#_Xl>kYntBi#aTJT<#w
z3?-4YI-#>{sMT#*qs#b{{22KSqJJ5Iczr(4R3QuUSuEPT9qT1;GqCjLnHxa>B}Vp}
z<T{K!vG2@D*?tlmwS$r~4Pm!Xr7+Ynq4)2Tg%%fv$iT_XV(S?Up<Jn5sw$fihb3Jm
zY9+@=ugk7w%7+aAi))0%iWyK};$VEG?*zH!^ikWCPx^4!)wu1)mo-vV_~d($om1qJ
zT<$kJ8+~{<+tTEgw@S)%uNE4*&XDo%Z%t`c>A_@fBN{fYkWaQ1zhFB!M{1le{Y2N*
z1HYR^S*Wo>?zrk2a^T_ud2(;YV~Y}9xWN*e$=0z<b|qb~n0v8EhJ;n-IMa3Exqrov
zZd@jXV*JI|i>#0n*ICxPSLi^il|)o$|1zl_V$oe6w??{sBkJ7=9XMMSG_!Hz3VGsN
z!es+)Mig7O%DLkm9k`nBT~++CLUzoq^)dT0;YByW2zz%rIJ9Vo$>*<<9(Nk+S2~$d
z@VJ@H)+riTwlkJx6s(c$dp=+1J<NiAp8cYJi8PR060x)nX23n#Zhv?1v*Ckuj$fo2
z4c@m$@ms4i;+00}YRxa~__KUj<a??%Tn-v#>0e^R5ARQJm3zsFw;Ue1TlHvxo8CYe
z?+6oG`RE!<f8xfHBPlUThFUNn#eQsfo*6e{)bd>cK0IAk^N~GW6XsOY*2WZBFsxg7
zx#&NB<PEBFzQL#o#mTCNTZ34Un0lRK!z+lRL6rHda19t{{;QVylMTB$Ia7X|5W+aJ
z{kY&F71m681A{_2(B<$e*%oFIyi;|LTOxr90^2I{d+1yk?3yVNS0swI(qJW^P6hkM
z)QX$pJXrBIhHGD>IJ$h)I)3vD1)L<W3ZB*A!-}%q%1;6%vF~uTeb!A1e0Y$izU?_b
zW+YCZFHVp`t)Urqw__BjcyKD1cSZnfPR*X${6Pkr){?jaJSf0-;QNxu79rH6-HE!8
zEr(x=Y=gUeD6sdzA@RBYgi+S{jm@bsdGyT)Z&bPRFCTf*O4UgeFU&r8ljfv|E2+hI
z%-Sh%;Dng*ER#6;FqLI_yj8-FuXe_#T2n#(LX@%hX9@HfRmpj{TLnG%GOA^}sPH=B
zayZ}X^(f*bShaOg75_Nu=0lza7?&o!Tl*o6C#i?8vgE6y`Ra&$X`UwVMzM3(a>(Ik
z8?{S9-c%gA)$8Z}TMO<hN!;(%l}A(V{r+qUnmDyJ-ik|y2G4n4ht2pY;M&J{u~VH|
zc(JE9Ojd*rtn@D-WyOlPLuy^cxFrn(ZA~{R$mqbH_EC++B_;g!w$?}IpMKp)+30@8
zK^Gi)jzwnLtDuXIwHtd49mUvqO+$0_;Kh~9?b|X{al0_<1c##zwz4_i%TqFd&*Pr`
zS$%3K)#WH+QmcbGRm&RB8Vn(VQkk+SO+jepN=aPQ!3Umx@HNI5*6kc@{y|XDKe}_|
z`kD^5#9Y3Zx5E^;TrK}wZ=r#l>`6l54LW$tE44>K*Br=#>-F2jHIe1~Kw5>Z4zAc8
zps#TeaJ!a~2&~b>a*td$N*o=ZIMZclz5sigMZ1nEYvG=3ipSNnG^`&M-5q3V0c<Mk
za#roN@R-M-MC>^&RNde!9yt3?7x-HWShclqugV3Bfjd-m3kr7}PO=2IaLYmcH=1ZC
z!dO{;QVpw#VzlM30^e`e4^`we@$g}XcVn8$n4S<*x$I^In?D|BaM0JlkMm!wtiS!+
zpQrB+lwPy~m-_I7_xY)4>1e+r(L@@fzn_a!NVbAq{S-@qYIRh;H)by)Cx-J^@323Q
zu!0uFnUwksYM9TzE;TSw06(a9KH{*pf(|E1YDlgMzB;dV{2rA91?O{ZH!WB~@WNv2
z(`6;h+xN$%G@Swc{oP&2o0jlF!|~LyEsEF@)g~}jGev4ub!_&cS;C3*xbBm;<gv=h
ztTi#YlZ=p7nM<m*0I%!%in)Wb7*V{mgE6q4=s*84<ByF6aGvg9lzJ|O<>T*T&p!V}
z1lvlk?Rf`q_Jkorevt(FvkPyZ&Hh7_{9@a<>I`r&(l2<qRTTThxLD<Mr-`$b-Q8G0
zz_lNXwO;DN*d4Ud*X!LZ!5bgJz}>t7=t4afD&+zg=J_=<eD6FVEtWnYF>DSLHnaNI
z1H4$*Ja@NJYJt$g8OtlY<{(h}vf|?hPCU_O&{?!$fv{akkh*JP1}e&b^+%=H(BrgC
zu-522kw!QrTLzdyMPE_{<qb0q@0yVPZ97lo=6JFiJTd_+=<-i%VZhp9Nj2VpIpWog
zfCc3dV_>P0@>AZuOpf#&8n6hRB|0=yUOdq?hRFjGn~voD;~@WU%Qk^CguIYvaagnw
zT#4DxI~6@mZWgPXYxSKb_FG)JEz)5KA#q}5pP!DC>w25}?E<F=p2%1c1G*tRpyWRq
zvKb;XtrG^eU6>@;w+_`@NHPF6?TA0+nZHPfWZkg?&n5_-OLdRyX7u6cf0w@&TK^!o
zUkuB#XPzKDRV5@Iy6Z!LciD*9xliQl6Wfonbp9cZzsz{N{6-IkmF)g{TzXA9MdjY&
z7#|~SES2vioBhk*+Zn#^`7`pBL$jQz^%&uODPY#PR2Sr;EpJs_^(N9fW-?7WM~Ny0
z&-3r8x)8GI?b3l06~si1(tUyQQNp{p?|{Z59RSfJH|F&Xgzwq3&8Odw60s4f8hR8R
zpqSm2%94FgoNZxvsZALpI5QkBzb>M~Nm-w#%w}zbw8e{ubB$v})Vo8Stp;=mrcEe3
zRp}ralIy}p9{eF%#x^z?)zP5k>FkB%-fu*yM$X2|_2WdG+Y+_kkp}+_Y*v17wu|`t
z$IQq-Wr8qq&T6{apbcN&^p|a6?;-XE|2$H9Xp#^O;k=wNt_5FO>2fDO_7e8<Q6Y5q
zDZ=<(s`Xo0EvS%cHZRWZBb*8+9X%qZiId;V^Er2Df_tYChficbk#WEEwm{VkAt1T=
zyTvsPsCvrxw)f~DVN3Ngk5if>c53xCczmJ)i_Vut%kW|1+Ls)TgH`i{h55O{T~hz_
z&Qy0H`|c=lRFUP=$J2j_A3JPERgO@gE@=F<{L~-flmmaacjyukCw1`C+gf#?TIDAs
z{+qYr%-p2Ky%j<yNanqxm^$=X43KerQ^eH3AucW!1`y))eA*PI1_BLyp95m2iGtzt
zOhUUE;ma+~Sf}r*fD5YO!xFQ^!Gz~2)Q?Os(onHe)J_$2e6`MYw#^YY+vhlM`>zAJ
z!R0=uDixS4-B1@$u|RYba^2z7XN6C{WBi?TRiGoJt68~mkr29)Rvb=YhrUPF&JktG
zaC!dP!ydL3!ogWB(cYO8#N|sptWA}{NaU#F*x5Cr+V0lzJx{pd@g>@v^IIk0`;<8!
zvz`%lsBx%t+4I4sOA-b?-bx@u9#=NJ!32lbuZe(&04zU|c00zV1hLV*S0|0v!F2iR
zuv(rV$bE|mOMj{eeC}p#d)BeSjG}hAmzOYbImK5JL5k4ew5h~vi4D?o==IxdMPc*9
z{b!_%72#dg-)T_fggZQbMS*+7LAveQ1`|O=c++#>LhxB`u&F8I+?p*3S^I4w_*NCb
z^uEQ#QZYU-5WL&sB_R!Jv&@-S))ZjfMXtYdbNryry0d8Rtt@QsVZLiDsR*%xrxwLx
z1;OigZrs#fd2s6gj0Vn%;QU3`zD{2lA|HE47fvZa;jY>Z2MZLT@#k)LA6`+2nwFfd
zd8h>6s{Q<ew3HxuU}1VAzc>UP-1>U_lnSg@qw{ukDZv(d=~Y{EN$6n8sAUUKgHPJO
zmV_FV!Mf;;NW*n0Aimr<v-cDQ6fZUQI1H)4dCpsxHcQKbU7P7q|7;Bi6z|oIc2NV`
zwjn8nK{@ylp`_*ArUfH+SY|}|De$@NvqJL@1#l+^0$!b`!J!Myl2OVUFy&Oup8Z7;
zLjBeo2Hv5Az-^DL=-dD9Meby^>k(x*qE%&06zPC|?%y4yBn`6MzozQ4se<;NnW@$s
zUC4D{eDTId2cl2EK3|`w2L5SveZNlX!7c0W@iMl0&=XG6DBnndoNL0R`Lg=3(I{;D
zt33vA?{_iN%XTVQs7-CS9j6ZwlaotAnMR<|xJPuvUK1#*jqB61^dVGYIlh0*1Ty-#
zPrbaQ1<T{Ux!(Kq;f>c3>98<!U|`v|N8_nB?69W@U8>OomXMC>f)N5vIrZ`1wV}a?
z-NRg-3SAHzPc2eXvH+I1HnJ}-(%|NS=aZEVI*==-(9~ya2@bNqg?O@QAbnk|?|Cu}
z;+*5TLa0`7D=l-<KaK_p+mmZ%<p24zB7RTBaVtoCFf=J<N(1}3-8H<g)FAd0?A&|W
z8e;twzBt5aL%7t{592mUAS$^@-nHEtI4`~OW--x%9ird&!97_h|I>9tW5F6CB-1IA
zIU4ZpnR(bTiWoeM2;3exXblza=(+zh1=d#Xbl895g(qB^RT@Rspp^de2iq4l_*H#M
zlaytIwEPpxU!1I=ZeL8)%UTskcu*XzbmKRnuEK3>{M`y@O-J{{rzt_Nq{htwyB<>9
zG$sGMs})2(+IT4Ur~<TbumAhna)IR5p|t&|w}ifJ5_dK^$bqXzp=gO76J~$k&HY!~
z63PyGG(A2q1tBTte$CdiB7<|xxautnn6$aI^7(-{urf7pZ{g#_rxe$uKn@F#pT5Vd
z&L9Gr+ZbJowsE5im(M|r1SqoWo|eiI0RG8|j=WkPeE;&$(!o&z9)=gHY+>Soz41K<
zPABl<%ao-{F{2wmzwc+{EoV0H82xQ<_9rj?WPH49_OCgJU5fX)tj+}8d=9^5e(|D5
zWslcZVRH~HQH#C7xI{E2Z~T3<m>2tfB<(-^^9d`fjn^&iOcAQNGM-=e^5V8G%lMl|
zO`)7Co$I7gKhYS`AhEi_gMN+~&l>YgfLF<(+9$4sI4_^{-uEsKQc767LjM?p@Cl=<
zElyRWP}S+-J<dGX<4sljZe|QSxUEeDw7-+yw{*t5C3vu0neXwY6eBpyHSu^)^8jg>
z$SuCM%#9v14kD_Ph9D-oHB(^I1R0fUqPfDzg919)>GQ6JK=zl(%G=D4<$3IyGgKZ-
zm*Rc5<AnjRIvw9WFfvbGuMqUR9L0l6ub$qY(=mYRi*tRjb&32Uk-P8B0uOq>-)eU|
zUmtQfE{b-Auabf@y*{Sdyr|w>Nmo?U2i3th5)W$_kh#k_ni|Z9amFW7jy=|cO<~G;
z?AlCN8G3%Rr!hbNIqsu-PEQYbz7BA9++fBjtKYx)TKKWAx}kXYOI@&vJ~ZgPwhmu#
z?>tj+RsgZBUsqt4E^H|j%D>~oip?s!wC3yt@mR52`nxF|u#&uAFW1h7vTBNkXDLD$
zxj4~7rs%*&HpzY3+c<Esb+$xIMHnA*8)#{p>Oi)m-N>hQPFxQ^Ym&@Fu&(>hufQQX
za5fqE_5^Vw|I)MV%>kmAoTzFwoJ9xzuh%-K<#=&=wLJD&tr)VJ${McUO9y*~yU)%H
z^I>fY<1ZtM1PUejAG|J4hbcqqAD=;fe5e-iQtPQC4wgyzvQN;UhTC#S%!mMne)s*b
z$3qIGZ+R&gH__mczS3bH1|hs%A+&p&x(qtmB>v@jOoP+5ChUh*g;Di@llS9)+-AJ~
z^Y6qA8qAMGeg5nvf(#sjmHE8#__z7Z+?P}u+z)7~I94W#Hrve8oD~(&V<?KvJc|Z2
z&bxk!lHzE!e3x@}qauEZEme_!Mg#4EQ<#)4f%Gl!41*$+Fwm1xhNp)H?z30<xHQ(I
zc2?JWfeK{|X?y2>Pnr&of2Dqi=#auqVfL@WS5z=y9Zyh7039M<M9P|G$e`gi=iPx@
z)bM&@!rb-GbcoH)t7kKk!>)A~wLaZaM{ujBy1M8<mj99M^BVGKP%Kv&JVZg+*28}s
zMs;8dB|CgZT>(%0;_aN&)WBpz+dH*cx**t?|C3Qu5wCo0cX{opiH%>J^8AkKLHEWF
zUoYt@p`@GVgDsI-=<z(s?!2o$Xx(p;_cT$)#^b5a-yGM*Kk{aEM|S`7!x9Y)_svyM
z>PzO%aTyw32@nem4l@L+S3`-dMykkBd0b@JhlaXU`3GJ;G6EN4l<HJbL(AlTk$YEZ
z7*M*EQ*+!H3}OrK)0xz<`hINn;ba<C)j9@CSeU})@un!|26eotc(3P-FAbNzJ1b`1
z_{S0U{dJ+f6dcdpC3I1QhLX7gr*p>4!TGpA{?xzz8Qlt!8r8K?KqjHk-H?E&-SHD=
zEU5VP^Mk+hEt<Hk<u$9b0l)|QnmeLLsTlT~|63hJ19M;YJGs;WsP@u6OdX<PV)wQG
z_7W6~wvi@Y{o~V2`-n3wG%9X$W33C6QNstx^t!Xz7GSb%gQf5r3SL;PH5dJ=jEgJ*
z60Rc_(DSaI-k?XpRpt<@v~!Bczq{SYP{tCn`t)^AhN$CkwWS{uMIK8wKQA;jvV_?)
zA4esxsA1X{BA=~M8l?{Oik>mCg!3b%6-gIVarmAV?S7~PhHvd$n^m!d#ET4SM|@OJ
z@nd+K{0R|s<+NGSVz2~?(5Iu3ddiq5Dy1d+QvjK*4W9A8wt&`wl7PfnMU=5#vfJas
zgEq~lvNB^WKydCr!di&}I_M9Yu8y(c+J++%HTo71eSM~;;HW&V>V6RU<j9QY&6qE&
z?*_P5(RiXjQx3g!SeBGI*GQHgSr?%gfXu!L*J~5fsIg=EYvSwzxs>rS>$W1mwD9w$
z$?WyGE?gk<iTMoK6=WOsIF<lyM`nel01334QS!*FoFFT>zv`~w23Qo34;|VshHv7N
zzS^H1B{@C*OO{+U2ftZLT6=^DW;PoSeA+%l4mPD-Ibv=O-E6fsqtAr!mPh1u!JGl|
zd*Nw;;WK97H7vB8A|r^2(*yo3Is;^@L$tb8qbW$|N*Ek3;K%=1Yve`h2gum68+&{B
zP2rKGK&RFVUbN+?T&1i1<G<tYt}*R50fSdz%O=OUag(ol(iwvhvT8~1L4BDqT+Ox|
zedx!DB8TtXecL=nGQTYNqRnj#@rtg2CAsXFFX%%3>^nggZ8vzk!Pf|?f~)M@<=BvH
zWm@-LVv1BN9oOi4V+dvSVZH^QSWujP@T&j#G)dKD=;Hmyp^^V3E)<jN@I)O?y6x{-
zvf}F2hJsrL@S%>!Cie$3iVl4blwFu7%W``EE8sK$J!ii%E-EuBojBRLQ)Q8ClIa{+
zi_!;Quc^F;516oO!|s1iX_;*H7e8}zRuA}MA9<zOGU39<i}LQDSIOYohS-o}deDA5
zJz<jo6H-Qfjcyk(pu+k!!-Pp)=yBDuN?T*Z?sLEN75>G#>BsTkLv=yvhqui`ekODb
z^~)CaX2wIwQEA6kb)a{IlFDVpgs&pnjPCqchkJqwHC+>Rpi;d?J3oyHj}6rPF%4kF
z&6+wf8B#i+A*mzXz{ZU4wtL6l6K6+m&fQZxOX<LKH;`%WpRTn>?G<V6=0M^2n#Cvf
zbhwMdG1N`#P)1NO>Q5sVo=esCZ5^S3m`v)~TyYjGn1`mo79On7q*wj9N(0yQGQ)W`
zRuoHD(+^|hM@Hg7wVg2y>_Q`57RA_*FU@B4y0!qa`#22k|ELX(CghvXo7nLM1Jib)
zP(i#CeWje+L>tP|KkS>$;=r(7Rs}O{LiqOnwxUxdS}^ESmCY)_h11nU&^8AVJjNd6
zih5c=gq>rVspLlM?)c57{i1l#{Gyd?lP0`)aqeAL3@`dBeaURPEsjNUtD8lSYQhBD
z{<uUle!MEURck6t5{+YHG`$rxVNm~4A-jVBo=FAqgyT}^7J3Nz$28#Oqs07za6#nv
zGkqnOCWBk5HT6Q@Yk;Tom2t942nmko`-21Iuw2rL-TJi#1Sf>ZM2m|cEjg;MCPyAE
zsp)f9e`>&$O9GqLUlYa0*D7YcCKS;3>S*gnF-_Qb&eR}YO&nu}vopSKRl;-+%jv#g
zO-Nad9KP^f0^`>H#!uBK<C6pl6P`Iu2n*J(3@KWVc_uQ?OH5VKc06fIPmUIR8n_PB
zENN69-)bQCN(~hzwY!WiXhTAC?0jdwEGA7}SDo2I!R;-L8)LT7z<jFOAYe!i9hW0o
z@+YZy@!Y5k|6dwZ-6-d;<WNBOI-lQ+v6^_%%J^199UVr~4HxY76tRbyBYuTl8}A>9
zi-<4O0Sk`4_dbV|kX~)|c))~)y;d4;4_52KRTCFq|4d~pH2iyhri+HQ`zyDbjOxLs
z#E{reEh;Ff94dLomyS<@-?a^HFo2AG&Vw?HYIw}(m-68@I{qr~Z!0Y^gzlpc<a!m=
zanp)mR;jQKGTiXkGXBqJ?t8On+^<8yt)J@ScB<&0o2cOKZ{JPe+hOsceJWJUci*eJ
ziAe{0u9a&gT`+_8!K=a+b5zuR|6jwF2XuU!RBdggvjK8EzPFa%)WH7%0096043}p-
zmTee^?Y;LNkM(%0XV~FB&FB>>WLKnQQ)bx|A*3i7m6240C?of+LPN`njBFB7Mz+`Y
z>vw**uK#uZk3-mVhq{!7gb60}F}(PKKwF&QuWM{7*r-wLXo)5fD~V&Rp?L(LBU|%u
z(NqP?PIzF`?Wl@%)tP6vIT?aCL+-PuMk?4s+6jqkb4pmlvp*bEe+}V}ZYWhBl?rBv
zx@KmoD`JC-D*al%Mi6r}V5cKi8GHPzLb%#S9!qZ9a)@p>0<kBim{Xe)R_cC-)!k7B
zYwLMODcLiEc*6~e!fpaKBKCUO-%AQ>*D5)rC1ebD@0%t?)hJ>d{LRk46h$#*i<p~M
zJjS3dyLLg}8;{Y_X*je^@MF=*w_}NajKFST=;kb~0@f+)uA?HtjXlv1TAzAh1m8}w
zI=3XtVaEqcOa_~ov0(*Wtkcg30;e7;)KJS}zdeVwiGeiOxtp6*+I&W!TJWu#E)0kH
zHiQZA=dGi^7&E!?PYod<%5i0TQ3`9>UE8bUUqCC|b{)h_4I#Ma5$DAz32ZaYdF&G3
zceL=bro&DzK<sPnyZ%gK*r;~4b2;e-x;JV?BjO2Qm6v<V%|;lLqOtq^{lHfQf5c+r
z^eh6OR#nr=UkPA0E$~~;E+fc-L#q=%GXlcTmGYb1`LLHWlXqPcCXkvnQ&B2a19-4^
zX6yu+2Man_!adG7jWkvaFd+{5pz+aMfQrn8RnrOig2)WwT0fi<oU8}_IWLw+TiGzl
z`7Meg+YHjKa;;&a<pA_W55%3g$c(jw-Al-lnMTYGE9w?)>4HaMdkds7U^;!`*!A0!
zh^j)u$EyaqAj1&GbbgT*E1O(TKT$A_cvg-+y>LYbj-+?hohYKlK6(h>&afRtkiPU*
zi9T)Mm#sPJq`ZgPD47k(H4Gvt<Ky&Z1Z}8)6LNC;&KBB|@KK{Hw-3oL+PM56K?|7i
z70qpN>uAZ|DgL-KUlGM;?pn0tn(&JKKbv=5t7uR8UB<D9x5#7DiYReYO}OO{x#^U+
zj2`Sgvdr<g88N#N)Q3LSfX1Li?!2@=Xk)>Mf>GB!1bbIM@j^%g<V6fA18){lfrNMF
zbeBue)2(*$L&@rZ4(&N|Zq1{b?b33(ea+~^$m3M%9SZQfa$1c)o<nbUWZpmJ*MWY{
z*qEaWp+H}{QsH{%ESi0{a9BY23raOykkGb7hI^5}Cz7mZ&?jnIW-%T;sEIFfSuT(a
zOCl@;ZNfCV#x7aUP}q+eW`2Fbyi9`ohZ8(;wo_>5`U9t~uS2NSR`i@h1PKcDTQ8Ni
zO`@c>qE@fOQB-y~Rbrcl1i^0SXdJ^QQT)<b$9HApsL|*D=7%$gpz!c^!pfOR^p925
z`5V2HsQc}a>^Vsygv~~9>ZVVk-=BsnX9&!oTwh<dNS;vx`eT&=<1>@!;Ng5yL%>he
z(eI6R<aJd@{Co0r>V+w^^zeBno0(sz)iWBC_BSdJ|71qEoHUKvv^^E?Pxy_#uoZ8g
z-Bt#H43+is5;N#&^)s?OWlQLDge?4CR~ZspUJuUb&Z4@k4oI!cU$i<4b+?aJ0;V(V
z&DB?aqK&rnTtzL*=tI3uhUg9g{9G?URT+MvrL6%<Q<1A^<%3CGO#uRkywoW>`(hp?
z`Pno5aQTN$edv4{;jIYn$kYwad%w{<Tjw9T=QhyXAJAy=1`o)c_vx=rEunfU1Xsq=
zEwoVm-B6_r9yac{H_T=IK_{6*_%Z%nv~2u(S!1#SoUBclKRNLi4V)OVd2*5pQ@wnV
zIb~TMlEWLLCLC5!0~&$?;Ttv9SuX5ibXp#$dWj0ztE*_*V;uiz5G_W=vY(3&%E7sC
z>b&*le`xToXMTk`J@(-G?H&&YIney+GsaT8fy%`el3QdLvA1g9VuOcd;XvzZi006K
z{_mapR%y(Pxlc5|$Ii;a+vj!Nr}cMHC*O{VklU<S&zLX6<faUGZ3Po({Hd_N7*k3p
zfdiwr9`3%GBLmLAk8d;npvG{i(ozu3h4H$aKh|_W1}<n09A*un#XN!wd1hF6u*KT#
zM!#P;SlBAObeBSp4KuGV#J2EaZdPoubPsT#t-#$;A;E}k+nnS}%jd_kIp!>-199*@
zZ7a(~ml<=etMRNT7sUEK^p;+l<G`})B2goi74s&QXl6|dW4jlqy!9wJ$g+DNxW&(b
zt!^ip{Bab+LL9usBgi;lE^|!o58%Q+xv8_+GDu>arh9uM7C2b+xNrVyjT=+r^e+wh
zCxw|sk&i@0;Xv6xCeZOdFE&Ix=&q28!(=Rze~WkF;Em)}PSXApx)7|Vxe;0He1Yr(
zr^7O^b!)}4E=UktnGySB%PWtu6xOa(uFAmYq#b#NJYnonbJc4eMm&~zzE?KBOBO80
z?ku-0iegutQ)2jq2-xylEgji;IfxBPH5fQAfw`fHU)_w9v5u#sx9a{=09lv4KP=f&
z*!ZfMM0t!VCh~z67B}(mLF^w}APo*X(3{fZ?Lox!taLuL&?<qU_1dJ<Wf|<G`R#;f
zNhC})Dfe`FfC}8X&iSfWR1S0hNrNO5lCfSMwTpo=M95rmI2F_)k6pe${_<uq1>=+`
zQAq0`!72aerL<mn%o*c+Qk1NYH3gsb-YlWO>(!y)3tR+Du-<w(7tz3;Jx*MzXwZOG
zKUa|lPn58twdYSf8#J)4bF7i=ds^`1is{uXiVCLo<;8)WX$`Dn>Y~@8uP*p?_{Ckn
zp^8ybEzZn0YGA4BSL=rV=z&F;KpgKYHOvEN+NY_cfmu<_{mhO;AmoLwWwSjId*4<>
zKq%_iY$3U->L0-Ty{97&N{HAS!N3TIUNXk>X|dE%)Ce+z%o(iPh?p3cqiv=r2^%}L
zpfD(E3<ZDbBiZVRm`dDvl^Ru5?8G~<x%A)0aBH3Aa7r){^V&Jrzl<tkn;wecgQ+GE
zZ)2?fb4Lv;&gA6Ul9a=aMm=#6UNV8S&NZ6RCRHq+`%RW<q7;_hheo!Gnu1<$yqFhZ
zpK}5a{`;aMgcZ3n>)?1zfm3F?Z~M3s_C<@o!&!<8o48he)^OMa8kbJ8yth@vY`#UO
zvW-z=($wGYkH(w88_sDZJCXt>@ib0yM{ODn^QpAeW;X%GKg!7Q9a*f#i_N6x{W$W;
zb|IG`$rxhavCNOR<FIUh)|`&<4df8h?3JJUe6m)mRXTE83R^o*hun9i1*ftkMm8rS
zxO#%gKX*?Id#}nf1!N{T7v~Wp@X8Rr^~IIl*b~A+y3gSht5_jK&Yj6h#Sqx&cJedy
z`7vjyT`Y>10|ZJodpipN`g@I7Qc-S9A|;6K`)y9Ran42IH6H*n8mjY<iyd=*dIps}
zzy$>XPEI~@`@HdytK$ff5%W*-3dFp*AXPE9{fwFc;8%-?x!<X=cc!2a;?D)ZovlTE
zP#>ai<q2x?Y@!=hRnob3Trl7Iz0BW74+NthOst;ygXR^PTSO^yfdGfZq2@aW;KIP`
z8XQcZ$7*WbMm9J>k6qMuu}>HLBRSJh(>62(s&#M$oN!uKLtRKr7g{)@g8GU(k;g6y
zY#COZ@Vd+()zw=EE>yj?ed;)l@PrkA78m4%Q43r!b*nZ^<6hHPde0+^|3Ztd?Qp;|
zW@}y#Np1L{sTX0{`WNX~UlEyQ;DkGx#vHqeT5uy*s91V(4H3TCY%-?F2}l2xJ@)#e
z33J56Q<hbmh)p?dgmxw;@abyi9XYKDZ}>mZ=umbMKc7O@C>AdG{7FA6YFGpO&RfQ%
zqg3F0q^8)#g9}b|1wosO22|GMNMEv{0ld@DMYnD)$UjQS<Q-QB)9HMV;VxR}&nfoj
zcIJkltEP^p{nUZ8`HESwB|QY5a9rQs<c6ys{I9>>rGS&yN|*U-26(Z$`mUmu2V&@z
zmMwEA;3f_6BL|qkpN>uDNfIxxZsgG`t5YE6u*7MBCT95jc+U8K5FhYa3>D?~li@~@
zZ>+WHes13CD{6%ELqh(qre6tUcxy<*aCd|a4CNP!Me_teRotc|T$2o+!!L~wU*&)|
zw@hAf_X~np)_L#xB@(Q^?5^&T=YoajzV2OQVVI4VzpYYBf^v~XOqHJ-j))K{*dB?1
z#mf=y=x7qC%aH5EczEE>csRYip%}cqpuKbQ7zubXrO%5>@<K^yfTqxzIGhZ~tE?cC
zV93%dGEJWkLV0`^Bi~5^k($QZQk(=vDhCv+{P}^y-A}z_SPH(Hdhpuuk)WhLCFypp
z0F=L&(>OCF4T)R-Rs9tr!6B84)~f76Ft5Z?XTOC5P3Q3ZKxGnGoW4ZQbx9c7MBlcY
zkdOtRW_YGyLxOv>#@U%vqF{d~?c=Pa9Axm7MxaR~_*pCzS&%0NkHoHQG$zV}eF@nv
z?-L2G<m`BrTS$Oac1`odD+ORRQJ%L`CWC?+yMY;l6jUfhE$7lI!Z~M+nhSTyfV8E$
zzF3k1C;Xj4VIu<AXBJG@DO14biC09=xHQO?S^X{!R|54D0*8gaQlL)L+wsG99Q;yP
z*Koh940Ik)cPT?1>Vsqw%=%<t*Yb;JShWhQP{u=Q&uYNXQ6;kLevjdhmH)(wRpDVp
z&!~>0CNR|Y-@5ie4kDrp+Q0j#!72-b-vf6o=-GZa_xhzg#B~RsU8N!di~S8GF-{vk
zbU~*}$$r22#n%m}5aH+{PAz<m4jA6DjWdtLgWzT9P)%(jY=*CQR4nR3|Jf#A6<tLT
zF2cX@6C*;k50}<2iXQy6^As-{Q3Uqa3er4J)j-31F!_0yKKM1J>7Q~Zz@cPD7x^Al
zIKB}S!Cz|tX`eeHYB2(w!kKS1mZ<=>O*h@+VFap8<__FlB|x$!^H)<9Wq5B+VJQv+
z7^+q9Fxw?S5}o4Qb|3+=G`r)7O8_!x+$H`20{GW&6uL*_fnQXr(aFvbA_b{ltt1iP
z;dnA#_&&Eq^g90RE-{3rGr!!e83@oQ>xq9tkp(NQ&#vafhT!*mW{uWW5i*l`eQLI)
zA#I~=>fEj&Fnspz*S>~_xYU13rG=89==Wu6jL8UG{a-&6DN+CmE6d4^U{RQ)`i`mW
zpVyWbd6RZi9u^m#J4>Vs!c%E68{bhwa1Ajz-V-JVnZ{z3n>)PFvB+~nw#E=hckZN{
zS<1qFT214qFI+J3oi%_x)DWDVCcUVHWuR62MI|#I+y4F?x;&)1Kc}~#<MD(vOpYuU
zn%OhLTyh(e)DM8C`Q8Oi)l#r(llM^J6fKl36N_b208}1E7PqrWLV0dvP!ygDQg`kO
z&Zq)>_-OBdc8bBKm40Wl_7<X%|Atwz1c9b$jf^AZBJf4O`*(@mKcs0qe|~1h0KP0t
zA9_<P1Vp2xCg=DSgnza+98ofWc-~evzE=WJ`(MhKTHaq|_?BaPV}L%qI?X{XO3x4N
ztb}LDk$({SORFjg^?I<G9vj!}#|wY!YFK(`{~!m#Tr+*B^x!I8T07S^H@p?G;A9c`
zg9LSYKBBcc02((=Ub|Ms1-cHG#zss2AW`?6(eff)aM()Eb?4v&a+cmsd&XZRs*2Yt
zdsPRdjICufY1v_Z@rc{=cgqOv{8jF8YaQScAoO_Xvck(GXM;79Riwh+CH#J+HaMDD
z=><JyhF0n3YprW*h?;F1>o;y~IO==Usr?ia$XuJp@AR!B87WWXFGXlUbe?(nr$dYo
zky1z){jrI>O|^4NozjH7i{d0+F9x96V5NJ&zJvIx$o<)|(}c6`Sp`=0^k847WNqoT
zhveF^#(#RR0lS|+$z3ATgY|57OUW!1EZo64ZW?O<Kew3K_y8Sva(VStQE0$xmc~B5
zRUO<P6;O#((1A_*DFgK^S}2U}sq-;b2Z~OL8}B_jU`$a_%B7))PfTm=*gFa!xiRkr
zU($immRwV53Ihn|*A!&gQecYPvhDpg9jxtEpSyx*0(Gw8{*?(bh#s$ZQ#?Tr)w2z&
zHDk>1t8gTaDVz*u*qgTG33_lo!J;|!oE4l`v$&VJ$e_shUiHTQ+?O9Yt%NJt;hbFm
zy~#=ve2RUkbLa>otdBf+6xYEC#Vrd*g^rSdztdr9Lzf9;@e(&NT5cF=7@zCi+~?k|
zp_9l#W(cB%?yuTBK=Wbk+4+Y=_<X;zV=t5iJeddYyieqXM4RWO4sJw<CKkzieqaT{
zplo*PPd<1oYSOVQOoShM%zOi;>`-*U@7=nW0PJ#|8UEFv222%RA-gji;C)`@&=Q>x
ze4BR)_-L&L8y=fKdK|gnj=^M=J}L}W>uZrp|5V{%7(<bd9XFJb`G2O|7KII$&ApG+
zsxbZMhRf%(JW%FvUC->MIJjQ3c=9Sv73M^aOmJW4g-t5cn5<e!;4n%_^f;#q%v0(=
zp_dP2F5Fj6-P~8Rn9xcWA5{n-dIUO>1t9h8V#AU$4!%rL)jz$e3Z4!p|7cYRLa$_i
zVQ!!d9E`5#X?(8=yt(gd6ZM55n<1q7<{Md1NV}VcS5pIze{Y-b%!>f!Ti8_x1$ppH
z4bE9_QUj9%exCxKi^0>t$K??@3J@ePi>uZpg3^@+oL7Mad@;Lm{sxC4px48)MyiNV
zST-1xZzTm?SIC7zsRST45{4@f5~PH*g*rR!??K^k9!UmeFj+F46PhOh?S!w0?Y<Y5
zo#qHI3s(UuZZU_^dNM?d6Yg7FlY#M0|J1^MRrrk?nb*BXf$!Nq-R9M@P;ZuNV9!B>
zk{8<T4<4yQS!9&`&0aZRq><pT$R~pOL-m_wy&CYQt>jbTnmjyg_ruk2l7K~ksUkpJ
z3u0`t`>8qc(5$+5edrVktn^4XpT=l|uY`){Z6QUdp%U}eNh5*$77x+kpAJl=PF^fw
zBS64)_x{mj5;Xp^$Hzn+fM3UT*l8yTkdhJqR(_vLu<+{aNM?P=d11VflB)zghpS&v
zW{F_yuNNkhWdMH@x<|aFltD=yZ<}_I2%;=ke?FoEP)@y$D-Tx&G1kW6p=njnS;|;B
zUJJ0D%iNf9M;R0k=?x8zDMLZkM|UM_L(otD_JZ!RGF&{`3JDnm*kZCW4(T?8%iJAj
z8MTxl-8I!Ih87Qxn*<Z?=^26Wtgu~Sl@e46M^35P%0U<N{nVIbBRD>EkZ1nyexJIq
zs(!tNgHf(aRHy2Vpzkq1ZiSuz^Ttc*hMy&&CEyebdxsGiGLjr&5f3a3mz|RK_j>4a
z&Yx+`Mqoi7&F)vP06MH~t(0MY;65j)Fnrqx+&AV1Dm>&tW8HhnA(0#8vzeu?yBk50
zGZUEX$-*I>qhtCGtZ)TytQIX|1TxASMdU0Q2)p|yfxeCoB8B|#oo+J(a!bL)J1HET
zF;c^Y>+T|^(wzh78AD)K|Mx5EnG~24j^#`<ts?KUbfWU94Z*rM!#ciL0xX3m)6JcK
zAq%(0#;)7~@Gkc`{&zzZh$Xl_uF)UJOTB@KbQOR;<*P}|=Y_%YFcq?O`y*0W_upoG
zA_6myWrPcO1>x?dQFFIhDPj|PDKfXp0MyjOWIm7Z0p3T<RNAc$Z9jIMcWYQ5j(;i~
z`>&4&GI!;I50AV?dw+hDea)p0(mrlhDVtodR};|RpVEO|T{Ew^ZLSBo&n2Chb2uQw
z;-CQZw4>&BtCa&u2SAHkzGy9N|6W82<-4A}LM^?1XO+Fxg@n)DLb`oSP|;RSpR)WM
zEsN$i+~v}RCD|iU0e%c1D-%EZ)Fls9zPzy7?xq8R`T?2G57WV=^n%2u1CNkp&pg$E
zYHhgvplohAhz4$H*DS=(w<4R_G^GqI+JGc9KVR#if@~y7=HSbZh@e#IKZ&ziU?6|v
zh4sWP^47g=G>o<vp%%+1{QFiD#6~h`jV^B^Rvfb9r8a}e7e>blTQyBc#r13_q--J^
zB6Knzhena*{M;(hJPlAdjLk$%t|Qq+)-xNTlSq2oUp$Uk1MV;VY&@Fr4;i#~ZX$Wk
zAQ2+em(4Dz!`c7HFc-gugx*Wl8EKe9=$T~LeU>R88db-=`eGGHn53T&6#tDxwk1@A
z_*3BSEe*PPrBy_{L#X=EyCp<~A?>C00vR~V6%Vt0TS0hzaGRo8e-YcKJ&RKTWQhI1
z6LzG21u<^AbyC)A1!>GYFNR+u!N$iB8vphc<SO|^a>&s&#GR_^Kjv5x3_qwi{hDqS
zDJplv#BJA+%a`lhW7zk-CS76CF<=$BI88y~gEo<F-B6>XLLyu}canL4ZVlPv=sN6D
zwT=ATlf?^Ch#+v5l`Zzo8uF;O=3xWR9>Uz-^~Wzq4L;oavMO2m579TBY>)XuweRm<
zCA}Y2q4B$oguttHguCV0+&?uMus%9LxWuLk!O0ri2dOuaAnmTfZxysKub3N<cvJ;)
zK76K=^4mh#rt?0YHKB*93$Zbh`yRlH?<!1X+(85mZMP^=F~Tt#;^MVcB}mYu=iltw
zMFPv!Du>6I;Nl<0MulTau%u(Cu6m9NIOHjzNee8nwmnj9*FXS={IH+b6RF|2b>940
z1$OxLOCh5OPXJ%q9Otr^G|+8CXyUoS30v7I?T_v$!fvv0PpJSMJYX7<QxW3^p^b0q
zW^#%!5YEiPeVrcSJAZ^cO5=g7n|*C(p5Y<$<l~KpWJcgN>|#)p-~%fwL6VLQ9t>I|
zM$d0CLDkA>iHqI*pl3lnE4Qft`KG*mPZwF>wn4<^sVYHuawgq;pYfqptj2AahaE!t
z^i%4e3Bw_!L=m?b1t|H(EA`Ne6VBf++|!yCg^q|cQ??TduzQNSH)Q{xYSZ0K3o(;`
ztBljh&+HU{`*FhFJ69eEZWd+i@sWZC*Jp2v&L}`b+KB@5QC{HRefbdmC=Cm-&fIrz
zDuB`gzv@5&KTtpUC>UrV16iigKH@V95a^o|sDDThC^h1SZ%1UIxQ<Um@+2NCjU(Q!
zs0)LNP=MJ?nmqWGpOLa=P=vbeE*n8pQTTW9V&CkM{d)<$Lbvim5l){g*H*YF4ln(=
zh4TmmxRG*fYjBwWv4-pLtxpoBFC~V{@+gC?;cEkmg))S_5u0#Vk_Juu!0&2mRd|br
zD;dnFz-h^xvjUfJFyeTAmU~GJ=$>oJE%vDGd+7BFlR+7HeXc;gZoj`|ap7KgHWFxm
zbuub4l>^!8gDwdlNDwrsIP=4a3=1!RTq~@Xhv~z5j!$yQ&@*b`8TpL@Pl{9WT=96=
z>FUx|GNwRiZE4d=tOn#+h6i5GR)n_V`w6_SDRA$VOlbcxEod`y8+TYFfW+y$+WKtj
z;H`ToquxRXw)szK^^uf;EOYRaJfAv1{l~434*UJP_~p8YjS7?>SK$-vqCg45=vAr<
z`p}TssyS<*3h@=`=}tfa`@xzD%~S+v4h{F8TvmmKogOD&S2BD)6g-b>2Z()HGdbd+
z2FG|~raSjNpQqt!IAPzX5`*nmdXv>4x~1=Ww!a!sx*RWe#u|Zs`O?8WS2d^_Y%UV#
zR|bCewg0jS#vm}lKD{ui3jdOt^0xx;5cQQ31Qo_0ZrUNO!@tjKCIwlGrLv&u_)61q
z#~9RU&)##VQh|o=gN2>L`?<QPeU?_%1R^r(mn<JC!Oe?7oyj30F!+Ke*htz0s7QL7
zoYDjcG!#sitmTFNLhF+84PzjNc29Bm<H3G8z{>CdD_HY?VBM)ThM3JW&)ACO!M$~;
zb0CijY(GCwRJ1n+TA#~yE|@G_kbK@^?ED*vIzPZTFl_{>oyWTkhW9yuG08t0%|=?i
zEDj9&7{Mn`0$13c6pTww@$_rVphq(tyQJp~VHOy@ac&auy%PvSLn~-)Fj4Wkry&F%
z48HtmQUn(GEmCQ|Y@wTP=|!c+0FDcBH8tK51f{c_ha<eGu-u$8T|e9ah$r787gG4Z
z$FLkL5Tn5^$WxU&V+c?Li_;vdx#8FZy=SEgEtX|bkY4%00B-QyRSQ?-fHFN_S}Tke
z^Np&18$GHIM~lBccRs@mEFWIRimlLMuLQZi?e6LU%Y@FtSAKeEE{rm7pP<DSvvBTI
z3VN{XTA61@rUrjzWoGA6T8#ae5v}NcuF~R`F422$A%65E$@hn7F`f**18=i*;Xotj
z6(!|Wq|W#5JHK%nEF?juFtl3-!di6%O*Iyg*l4e^oG==!(4<5+M@$Fu)thJ3Ev67r
zV}DvsUK(sKn@D@tR~tUlbn@Pu>PL=E-FTYSM2$^Xm^KQ()`F0uS|<X`ULk!87RBUH
zYD_UQ?n<tt7Tk(?wA=K)7FBmzwQVq?#;BLe_?qK1q4Zm@SxwGYl+=b*ET~aqw##E*
zwSH<qWSa5&`+GyE&VP;%`YF^{*TCt|9d;V<V`NfM>*)l_V&{Bp^B6VOR;nGM-k}aP
zHYfIYFU+EjF()iTv#7D}I(!Fh^woi*lbs|uHjh#ryK`K7fg1ZC0096043}qE&J7gC
z+dFM(@Ab5v=V{OXX^;`6(4wdaDWxb$MG1w55`~C_BATT9Pm$7~sgzQrw=M0d*Vpsu
zT<5y(-|s#*dyPKNmFj?5fB)xO7bZ!U(_i%k4>RE{vAVb120E~#VKKt<{1n;Cf4{qx
zi5Y#l`L>3Y(IMM!&%oZ}Go&>VlkRVs@%Z!HDqTxDtZ=-W^Vl^<R(ZF@m1M9WMcMJV
z?k5^N9bK?~ZMZ--CTW**-)6;g$upU!-D%LfBwA;sutc(3#KzYk8@~B{eU*Ef3U}lG
zZj2CLA(Pv-H6?R%-~)p>k>z+QSl;|meNXW(X}FqXx;KIoyFHT?J=CZmohX*jslb42
zUH0{RCAje`amb+PhBo~E`c|Ocnh}cx`5%e@;=%Z~kOA6&7PQqrDH9H5LQ|8|K}UPn
zp@ivN$Ws$7xPDFO%L8P_H+SRx3@-4aYDK8Z^E;Yw>CAWM<8rJRrlUW(wL}0#{#<!G
z!KDedo4i-U@35gtchI{nEJAp`sCv{oMg!i4Z<QG|;J_KX2WK<_g)ySd)2oC_1O6DM
z33X3%;`iGAtITU6Sk3-tAUsnY#^Z<w58JpgSLAixc)lnu>7J*ovsQ<x)p6Q`9$q~3
z;fXU>tQhu*tClM+Q6Oq2=Zq33KlW*4rusxnU{NAt!pC<M*vEF%YMqGyYG0H(JN!fn
z2i7MUxj&$Q%V}w6+gL%g=NeO^EX!c)Y=&D-1_dHy+BT+*38DVimvXA6a`?JXD*a17
z1sb36C?*{j!MOM*3ge0LxJ{Ya<oZtvJgmQXrI=q7)Bh&#e!i@L>Z}pVYsTvEIs1@-
zRr3baYoI3GJfnnaqEhPRW$KXN+p<xnKpai3_0DtgsbJ#ltap!(1{6gy?s!=!i5WHK
zPuvSt@!?jBlf5>YaB?O2Xlc7N-pCJ4%JHUP?tcZ!k^8kkEOB`GQoJlaa*ZDhkkUZc
zp1I|OQf-h+7cF>KCWl@7?kk6V(ZuuDCd?h4P{BZ8V-wEF<Lge9z2ULiI32i<?3h6V
z*-B>J0aHa}5bO+ROrqlSjBIswAsx1hz8$=KSqYa%UGfXJ)9}y7o<Qws9r&+TJH??>
z8MXGZ-i-P~!~KDbfe|ix5PRkQV?sd{(+=i%eh#8zLR;h=w*h@ft&OUQ@lwO(E2F}>
z^>iF@-FMzQ!4P6IlfLRFQSj$uqn&P(bZpROVytj9hQ=B@r<)Jdais7}j9M2R#~#WU
z{Z=uBZ+2#E!ATnUc0*0FRWu#5cGRcyGnj)ZN7kS8otlVy+oSFc(eRh-;0Lo$1RQtD
z5RUBD#LxpGi^xSo+3IK7uPXs=Gcz#usA%Esc*jx8Z`!yb+H}e3k_DLGy&AKhriE0u
z+quE|nmF+)I$TND5}MWg88v4$(S`^ZSTLdBe;k$8cS%b)BItNaCrA@@I)#mLI91Rn
zEWwmt#R_DC!bfbLYv2cm-wBW3Dj>5C%g+A}TfyVqGUP<AI)2(=v_Ji{EWQkp6e_r2
z1(RQzSSNxgSd#EDdpK7d>$T5H3`APNd7Jj=d_Fbg_Guc@Y7@o-*2Zjy+^is{S~1}2
zWfiQ@yBSiqfe-r<0^PW!tRU}ORjTZm5}J2=i(53YV%xQY57_H0p-N%*nFkh%m>lOE
z^0a)Jq<xTnf6B)a;6jRV$aQ&)J7JRCu{=f^w%Yr%ELnj6F~c37hh>o`=UIc!Oe6WK
zOQEOuf(7^<IhD(nCXME672VNeEd-DKm+Tf^3uttZ;b9J!z`GZ$79RQx5)Xp?@BK;v
zVDRzIEsEQKu|-1pjKjYPtK9n?jgkQ0?=cI#sTDzrmP4rY#%ZEP?4s3+?F0-A=Lkj{
z3E?qIn!ECmS>n*1#x12j=CJ$K(=&H_`LQ}?)Gy)A91#|J<Nec1X3!M5d)6?37hl-0
z=eCK?6K<v-*E7B}1>H|_&95(WVvJI2Y9;GDAw2(mYkQvwgd9H}TEfbP7LJsKw^!$g
zzng*!**2KKk>F+a@4ZZD=_U5V_wy`Ka#8l4{T^d54sqh<;$uLml#_D%24;xV`zPGo
zGK}Ea%BwsHnPqa=pZC^q-!!oh7gt*|Xb9V)3tjmN=Sa5C=ai@0rijPoR=@NO4dK`3
z`1eW;Q{?nYKzLTeAHs0id+Uw_1Nd_4W<~Am3G!_w?=*k&B(eJqe?r-)KExbYQz&^c
zMAnZzeOBK5n<)Nyz=FD6ACNB8ddvGKx$F{59HdPUZ+2BK_!jCx`a{WKrL#R`x!I(K
zOU)RO`Cz4wCanj;vS;ds9NI~%j6Cj$v{7P?mbGSkRTq9}oIXgmX&{5yLkm|Pj1Xtk
zy4|la=t7+7=6g$8B<cG~-K=tan0T`t4I4sq;JI^=p`FWp@<I-C{LkQFLh3ux`={t&
ziO*QOzCI!jZru87*>IRh&|-X<8%PJcBLgopV=IVOzVZN9K&ZdLLq@|y98Z=t?+gv>
zJWE^;uYDlW+<)CUb8?vYp7c|9<TMTL9`D?0nEHvRmp3|5GB!+vo;x9@#!LhEc4?NF
z_7*}&>Jmry-4Vj$Q1F|A1S%BU9JP5v`$9x=u!-<p86`ShF*#6%3d8rmEB^KWN_0){
zsrp?sMyRg;H2lC@8^px@yoxfu5uYx<5P2XzK`7c$UPUKr!GX{@bIt1S1iRx(<lx)i
z#QdALod>EkVL`TY{n(j)qD}v3BX7$jA<nM7D!Zfs*B7#EDr9~VFI79Ho(%pW?8h)5
z$3O$5t40l9whj>6bArUQWTpwb+&f<1!_-09_pHmdJA*{mhd|1}*%_j=j?uC7pO21=
zMI2>1KSYe13SuPd93ka>GD%*L0v}@ePwlxlLeOWEzAL_-Ck8a5r^ODb!8wa}Y=Z@3
zgtYKJkK?x&iR(%~9^EEY!SM3Q_VZl72^-1Hf@cbsiCB&Tlb6z}Q1YjPU!iW2s4a`H
z9%K4TOmsO8ABt81=jf{^9Mq?XETK@&zcviO`t-JV$G9@6&z@ql%$p|ej*qXHzhHzB
zmX~%a?#hrqIpO!newKKc{)#Wuj2XUNZaEa+rUdB<@2jIE=ZW`5zsxPCS-`uqd;jL0
zO2EQzC9WpCNZb)NOuf<02A-u7Wu<M3Q28rr-r01S*tM~&vvr6A;+IQ<w|OXnLUI6u
ze)=lW!c+F}9gQ25i}L4^|0qCz)FSP<7y|?~Y8<;;%nS2@9Y5fT0!W@oIyDo^2#c3K
zeql4?hYe@L#OPE7XfY{MwAjE5BP#0osZ|0Ha9>66RIfaU^QVSVn^~aG@co^){z9;8
zgnZ|GQywy#zXd!kW`ntVjZ(ALBC!2=jlI8zJQRtJunc_UfZg+)zgjno!m7XO(|daI
zAaF4J_dY>xc<7hi%NrpE9FhGy2q}5^rkTdxcbyj&M7l3I4M{+l=$gKOm^?%tGaD>b
z;|DjkPTHn;X}JHCv+=NoJmiIBQDt)lAjX1uk-u0L+-fG1jNIhG2kp8W?1f<Z6Krd>
zk_VAj`Zu+n%7Zhj47;n82<&hZi|LqBfMbQX_M)@`2rRkMEQLfNDP*0DSCta<oqL;X
zLn?sjneb0#x?(_P)14b$s=)KQX)5P+MObCaU5$yB0Op*Od0A2oOzY8JKT8SZ7(GYw
z8KhzBg$AawL3J3j<#p|xRR+HgRrX4IWFg4&p-F|j7TiDj<y>Z(D$Lma8a`Jg2RzXg
zp_}!n@b~pDxR^wN<|oUQ-Bt=ffANi?>_UV0`fUZ4;~MaivH8)d4n^SF&}1WVk`ARF
zoxEO!+Q7Hv7@x{%Wl;6T7{f>%m^<LbA$pPqTCrn1d<v?-p3UwM=Bo=Y@{ceHZq<SP
zkw@))8r7g9z1xLTLk~DP->E1#>4Ed3r)r-5>cFSfeCW$dJ*f3NJfWCo0IabYXN>;k
z^>d4kMfSKJ9J=HBIEuj-ghM@@PJ3y=$9D;jE;sAJi!)}H#WAMfvrT?WYKAsAntw5<
zaL|JxRh<SuegaI!io6E5P{FQHKR)r_J{<D}LfRhyCKB8#)iSBTIbhqoUP=c>s?4$?
zep|riYv<2?uAxFG8QCcwK!cLRIp4^6OZe_Snc7BDfo<vLkELNPc)xfdTC~*)rV}^h
zhFqY+!-HB5xiJ(7<g2^IA7%|aMX8^|#i%fpv^u*ypaf+2!HYaY*6`8BeaH5{T2QGb
zYcF6S2Wy{wt-ecc1cqH5p>-jeushQ0=30sv)IRbsBL2-a*97}ho~c7b)0Rq#qX0zx
z?*BMEW(@&%_EnbWt3g*(+`Ft1W?&ZO*m*k58fG;4@Ah9)f&HHboBBJ)h;IvC-gG5v
z_%C*hg~3e;IO<cm6_vY5k>0ROhD<9sd<YmX%PWAroI#J}<UBd46DC{5V+HO;*EK%<
zk%dXI?5OJJOqk~~WBFgOCEVz4wG7Laf~uyx-|kiHXy#x%?()q73WDeTN^Xh4X+Ex?
zt`pq2>+B1Iv`rSU^T%(Go;nfOwJyO?nqeI}^5ot7RSa-NaWOHL5Cr)<VO}%Yd}y(x
zC3Hg_K-6HsWPFwvCbza4_1p5}f#Ih<7wrkyEyExix6BTD4c}cFV))Tq+~R<!vpJ-Q
z%yj&|!UTi&99#vj@nejQd{(fZ8N_PFSL<zFCQf%>dwV049~1Yir*$Qmf=S}0C+`BM
z2<cfWyZTOkJmfTXaL-#4C@7(qx3K*pves{(Tan|(C#UU4N9T><;Z3vB9ai;(Gb8UM
zjzK=8X_jR^GBJk1wr*L6>>4sa@6`RK6h0iDO?#Yk$q3{(&iP$-=qHyB+tn4h@S*I~
z=@aU`hEP_{$x)m#N>XZtS!zu9FypX5S-goMB!s$(^BkKZ9V$gkZGjK9l48_}dj`-m
zu2XjG{v7$0N4reTmk%|6-hR=+Z2)nrsS2LqOQgx6MM;9>!)LR(>I@P3;Jae`=?3p#
zQhI-MwUZ1#in(=)h0W;!|I6w{(*g#(&KtD(+DU%2uFUn3IH?EEo_5zgv|&Q45#M7Y
zKlm{vbM$`0qAr+t2)<5gWX6)OzqhXV2;jyHwX};dy6{e^k<Po76`vX8q-<psM6Zp%
z0``dLLVS0gQce{cO1y2qv-gc49?<8ta?I0#1Jwr)oHyk_rkHTa$~Ym+Xfx+|yhR68
z=r8K_mviD5S%C?GU}4no>yu6xr^Ao@u8!xMxRItGDLxw_f_)uKBaS!epeJ*A;OciC
zY%6wDmq=TWMUGq>c5S6Y>-p%pZ*l9ef-cl#+#-t7Mz!+{EOb~*i~cC1%#ZfD&vQ8`
zV(4?-L%zS727$>fa!Eo0_&|Y?o1Q6-e_JAKlM`v6cUy$+&L@Zw_h;2M(j}2+=)QWr
zHw{Kia=qClgwU6%H}%O+Dcn-?$Znq%4JiD%2Ywp}V@j|X<wBth_L>J*>ub_rVdX~X
z9v>03nv!4F-1M(^=UZ&{QlP<e-ONXhPuKtZ6U?^ee38So!=DRzRA{i;bZxkfaRXKy
zQPj^Ek;loD5Qi`$8t~iD68HOyVW_xANCvkeN{IBwuG>q4@y~4*M<&J5MX@Mgy`d6b
ztjpE0{I~z#o=@>#E=pny=c$2SKV=-qja0tVL4%&isSz1nX`FO+RO5T9f<>x+MNf6;
z5TrVOL3Kt3GewrKjt!~eracC^!`XDm>O3JL@KY8=c+>VZDpBylmeJZ0Z5`;bTG(0I
zDu=fY9h_ltQ^$8Y2W4n2I?(K#e+}y7@hwf;yX%|=hWNbK-Ed78DElu79C)vQDw$yl
z3CWsx_++{FL$81Q9w!@2Nkt4&2pc>TqlJ)0@VGhXL+tsO&;zAPC>dc>uw{of`n$?`
z^gA0swXCXH?PFzh-*KPEc2FC$a>jPG1RKJI<h>F9_=ZJJnMRRvR6ND)k$or22nrAE
z5`X5cimF^1-p!g+9AI~!JJn+hr%pN*_bIBOYNM8HxG)vXMG_zFl`(~&`Eqy3IyGFV
zq}eWKYvUi!wiwd`W+0xY$fjXOK~tv_dv7*rA*ZC(kWq#?jK%4&Ipk9?fnp|V@Kh70
z{7*3mR}=6(`B-PlAO(XsjS83zH87(|tHi+<pwB{iC&v^8Kj~yl_n)UA$2MOL!vTOT
z!pXc`O%yCJ&+TDIQ^nf!SOKA}7I48*+2=?U1(mLkxrsz8V|SvJ*p+k((D0aXJ;_2r
zH7n7Tolc6lRv9X5(PjY;y~Twm+||(TmS>fjqCBqMFIQ@rvw(BOpRRUaSH+{|Y%%iF
zGPu8mzPX*r63%vl<&MWH*m8(Q39pktEmKYL;zbL1RMmYzAWIoHefo3f<S$Va{pIp1
zvd01vBEmJCE-GPvYVvksw=i-|`ldgBVF6>xm!A8$D`Kl{fw7{}zdW&|bxoYKfTL1u
z_nb8q@QUg6)cRr`)HDo}oYb~}6wSy#EsJufQRyu(Ho=ZI!X^`D{Q#*g?+k`&WpVHt
zZRe-o%y>`fKN+Pf0Crm6<tNQ#P-V;RA7Anq@DP_s`a?QEjN*FP&1;g_QtG0oq`5*0
zhV2{poJW8n6_00ji{rLEBCGH97sw?y&)3O+%%PcAEy}TD113NGk6y5ImK503D)Lg#
z9Qvm<&xOpcM>~-XN8?<k$tO^rQX6Il-S&RhmJLLZgI%t<SAB~79=PbmRb>hS|0$pC
z$P~hqBX{pnp8O%LP}sqq#}w>rrzP|?1#x`&!#(%nKct*O`8ukr2^d~-yL<OLKXMG*
z+#_K)MF!Ogf8owEhGh2sAiZOJcr#eD=!N7oIYD>cD9dCF&o_9RzI5kBUqW^F+|C*D
zi0ztx!d@fbt?B7Zyv~gW(iXRH*Ugf>ul9u;d1DACE?c-BW#_^{zCe;AY@XECT@Wjj
zHU!BN$#VrI9B5s=_Bh{VkxVfYJ9{+N06YY`V*2i|V~%Dem#Eh=x!%F6Fm6g8l+Qm~
zjegCB4X<6|-IG_zE4DerIxl^&5^)>f$Hs<r&*~$6eyx$eC!X|AcIZKyxpbA^IaZ8&
z!(UgY$%u+Ms{_=Xdcf`K)ViX=iga<NvidM4G~eAX-SkNpLil+{v*%eb;`-mm8C}fi
zW>HnqX0Hp^ou-*xCs@$KC*a7f9jv%F;3dn}4js5s@uS_7ixpo9j<jCsWW(hBC2SU+
zI?#B2e}UIO@6=cmt2e_qaOkLJVDle3G%GkuxIAOUGRG}lR0A&D(#9Mp9{bN1hM#@X
z=xnGu{=1%6fCnq-uH{xTbTBvw#kF7A@OAn?j0*QUtdC8tji{hOLF6X;kt}w+acP6|
z9$|j;+c2ubaexL_^ttl3T;sr7iQB)P)fd1wS6>}g<Dx;`W&ZJ~+ni{9tkS2^PY{Es
z=26D4sZi1;vUuVX7hW4a8z@>XgdAquk396J!fn2_;Y~_B_>;f*hk=3!e*5rk_fHBH
ze7CRVd1mqAHVNK`JlX5fo?h@>utytwBrK!6ZTN8i{P+i7s|~nArZFozSR1Mm#DjU`
z`LQ)MIcGhCI6m88<d-9*4Z9g?Y|SnSV9|dT)F<C0uwkE5?zS#1@ViFo-h5jS#~jw#
z#&k*Hi7f6j(Ro^s?Hb)^QY(bnh7M;7mSk{HtV;0t4K3K?zDZq@R|HS{Y_IqsEr(L{
zjYN2c7DW1md-eFPM-G*JUF|#NaX{~k%1nh8s9u_qwExG8Q+Ho_y-iiX15{3f6O7t$
z*y{#$U6>gD(z-2pcUTdxH=iiTKB5gx_Kn7#6ba0-+CNjfO&NKdT(~bTX~XApUu-CI
zl4$h!xJ$)r6$~lrXprAag+u=14#nT3(Q+3Ny`Zgz{Ha@(Q(CDY{;Z>YyT2@Y6{dOA
zJ)z*H)b|TT2Wi0BNDKOSS`PdC4TLr1G%&H?TjEJ!Iw%_0`p6{6<Bi$np}W^K@lVFt
z=FomR6gLgcGvq1YmzG9ZiD4}~IQe<{TcZvTQ6BAw8x^tlU7ie&5ETR6&xNgh)rGyf
zloywOE1|54LhZNPR7?`t!(+s%4_SoR;Co&b4A{BvM+!F$gE>zKrENC=<IrFJ&*W9{
zTd9RqnllYGM+oVRd_!nBO?pVEs^RrY&#Pf)X}HF8dWcKe7`A?I=yVjNVBdjEvn#<g
zblA3ewdaWm*iropY=$X#<WYyYrx6WDcUR2srkg>}$LPmHH`H;oJTV~PBNeY~mN>qx
z*c|E_u2Pf4G_brn<n-l#a2!jkKKoS&V09Cpc!;kCDySd4?~|^DwAB1@H4@;%jK>kF
zOB(q2{^zu?Bn`}4DbTiavVa;#uJqDl8psfQ<`jcD1@~U&(RtTl0YA&yuLW$-K#tfa
zrp1LSh=arFvSyahvl{9ecSRkq-9MS|i9-pQwsq6JFId7}L%~Bk8z`7N-OjGQOCAMl
z7RuOOSVF$kF^z$5|Gd1h;1P$D3`+g-KRi}p34c7Y3_ISdqOG#c`UWd;G;ut6Li?p9
zWCfjRt&CT}_N%GZw5uYROU`LGU$KN01HPV0BW1LldGAiyB7n`D&o%e&vIM(_M{cro
zD55^sVTM1P+-N<Zy>^e=5?U|*-t6J4fcwL}zI4R1;8w2B#?~bkFmRO`^mkPb*X4=Z
zlvDnaL846&`Ty?FcXsm;t<-;>@;|J)U1ye@(Bb*hH3e`<hcz?wm^4c7b>74;G)CU*
z9Nlga2e8wQ2Rr}yb*x@Mk67v>Bd+g#(klaSXVB#bqpcV^ZP%O@JKRkE_UtS_ag>0;
zZq;AuGwX53**@`CSVDe}3K;CaVGhz1p5FU4!gwX|V#>}(nMCbD2ae1SX28qSQ}p<Q
zAnI3Ly`XITnrP4Z5L2>b3TJ(k?+Q)vqndBCIaH8@!ZOo*gN`Z4EUh*?O<sr0N;y}@
zo>UOo9v{k$Pnf{Fua*C8zrl?f#tNB^KZ=MU2a6#25@XnOf?Y6hlmlg3HcnaeWe^*l
zoJl;tW&|HfRlHtZWy5dlD^d*7v&n7a_a0jAFoJD&`g0vZS<s{~Y`d=yNuDDG7frJa
zp>Hwnna(37ys`7$Hh<Q7QfTY(EgP2&Amj(jbxT1;{J}Z@cH6~P^1LU-TGPb<thNNH
zuK2H!wlRA?+^YXdw&%X_sd=LhKAh1Z+VZQUO<aY&g>)ZTcY!P(lGg{va_JC0y=Bs4
z*VLq<&rh<s@mu<lYkD9_Q@7E}TqK#k-c8P~7$nt#M;(;^>Voo@x;-<_3*<@pCjx<T
zBjm65v8#Urb>Tv&x1P7#Jn5g7TmvcN<OiFniygx{VEkgn-}~MiY4h`$a>bQN^7H4+
z3uy;+AZ8$PDMNmaTsYj8{l|5RlzyegLHR`o<8_HqCwpee7(*&op}`C}&UWYA*~4@g
zazB4TtZ|lnbjAJH3FSF*CTyZK`Zo;{ns(UxOw5uk^z&sr>I>wnbAK9XVKk6CWMn*U
zK1XKcNw1JwmdMjjD!ijOXmF0;ndmE@BL!zerIjwOkd@ZW9lq&QDAf;G74?}XCG+*;
zG>86@!@_zuX0)j=Si3CBXtqEqhg**dyk@}ewOD;3SsO;HTQ}S_UnIj?mLi-)m~eYT
zmGDHp7HBjd<B2@BM5@|#SB}OrBkOSKPZ3@%coVRhcw4hfs+?)~%O=Z;QsJJ#1G_b0
zwd|_X>dsY?y2@!R*3O1v_o5Qh9%(>jr;eW&?;2T{{&B7GIR_d}c@{;ksl$x30P~Ir
z1|(L3miS(B;iLRad*%b`kWwvh$Tx`*?b@FWarg0H^{&OoS@jfn#b(v_vyusG10{m!
z|NdeDrTD`u1O;Y#KR31tu;6s5gskK!KOQg3Wo><{20Gknv$vvIG40IHH<uj+@n%Vs
zfY25-`1MMe+9Ae{R*6@?EOiUviAmdpuJ5XFc{B4CzYY%MI2YhAdr<^;onG&EE=Cm=
zkF4DbC%LfAOY*-mCsFjs8KFKfR0YEy;j<p?JUCi)sq2cp7-sA&?N|G&0;Y-6G1-!Q
zxcj}C{^no_)Z3mU<=UYFlAY6A&NuMmD~cXdaJ3Z16ozW{eNX|O_d{GNDuO7|yVp-q
zK^BXS>lF5UR)LX=ZKu`m31Qh&v0(_8L+(fWEazucV9;!l+s{Y@<6i7aNtlqwD_48#
z_M53fl~)bt<A2=nKARxG6Q+nK4@ar~_f!?WxD-w9ZQX!Fl0vUmq?A!{zunOpD>Yc0
z58-|OMI3n~=LJhURWRwJU|{?@3gq1uT+sQ~t2Il_54z;2VU*`BFMR=Z&}`4FtFe{A
zTQ4-IVHecVNamsW4+jl+!&t2&_gxk>YG2ee9n(Y}qW<B%E=`E|@%7?ORe21!e0*Kc
zE^R!kUAcdAzBcSTeC#4dDPUxh;ttzeRP<jC$~`qo1zCea>+1uGxbAk5n`}4@uRfk|
z7E!0eiS@TW{IF9-`cp~noUL?}m3-%ynWh6?fupLr6)L!Ezb%*RG96F*b={7l>VZx%
zZ~J4Ve?Fbx=}{T2gZ>M=JU{>S+y4Oo0RR6Cmv=nXUl_;jP4<?}<zAQT-fX^)S)wu`
zL_^9dDVb4LWMm~3GLy>sQDnsTo0Vi#ic}OuM&`BW&%ft&Ug!0k^E%J-dA}oKa`<+`
zm9fbW)mLZ-$=GhXzrXUJ7RZ;EZ@p;4V_NR)!X@)$tX8-DRoXWlFpgn)b!?J=b&Rq;
zY=1+>a6h6~c&7E>-mC&?<d+II65?1)YevR;=6GFlHVuHqMJT^GpNL&|to!&SL><Ga
zf7lEN12E7Od^RktioFc%E%tFGVaam3ijLlf&{_JV?Y^Tbc0-KLmY+cld!W|1@X){r
zw3aWVL>a4M%U|@vehd(>mVJ`(adSqH;5U;OKSadld9Ceak1Jt_U*Yr1LB^0bu9G3E
zM8t;2{JN<5@>pwWT9s(OG1xtdm=nUQVAK6C&Yt`$jR8}Ojv$K(9CmD&^Pk3J8J+Fh
zg~{TWze-|K1h)wwEmWD9Ys%P!bXvP#vj8?uIQA%=Y7F@&8*;=y;jsS(DUU`K_hBdg
zh}kUG7(-cQBFA%XMQr5*hd<7c0h^aIlb<<b4Bb`)I!`@$tSKS%8hlws`*xC*hgXfD
z>Dnd#7iVO#Jmc#1iv5EqZG~J?VT2K!&=CxekCn!}+UAQC3<i;Os-M?UdLv+E99Jy3
zDv7-feC1d~nMaEFqjB5ehT!R7*Lz`I4BIwB=Pesn5mN6J$-!-aPL9Rvu4TfQ&WZod
z(Ccp_`aGt?_)q|uvi{)kdjgnLPRl{zI2!2pXv?76L_n3qM_sGt#e9T%|FyK!!mYs_
zy=+DV-2OF0HgR)f&&DPaD?{m^v_ykeS;PR&<GGFxTCigVZ#FqB-qS(+!@DFd4SmSA
zCW)M$V8V2N9Mh8Rp@XJ^Z;txTdQfs<hh(@&husJjm7`?S0Utg8HTMKvn2<Iua%kT{
z8D{f2Ef3LwoQ#czV2chESl7zkcV9zelaEIvkI;hlK>^EVIvq%BC^L4iT|}A8oNQ>W
z(E>Fq#e2kD8+^oUAO5hKMl%Jzx$m;j!pZpop1J#4@UMHQG5hE!s`IyTx}}%~jtt3o
zU-_pAnu{my3Z{QX@d`a>+w5qdzO(GnrkN(p%BX)5k*!06ed$?+g=k>7>c%-@u?Boj
zG=68YRfklU@ofbT?IMZODY>sWG#~?(SV<cnks1*NTdZ*x=_1CsTL&J1?FPoLNhg0G
zw8j^cDW7%`lj0kF*f<63tv^pGPL3iqcY56KanS&CTxQ2-Ckk*!_I+D0`HM($(&}ni
z(E!K&ogueAGAwnAqGEQ_2q#D7<<@c<NEep#v9cn=+~E1dE&Lpkm3&QmUYQmIFv+2?
zkLtj2HatxG(gJc!aDe`L8!cF4%tGJn)#3Uh8(|hLDl*0SjbLz-4rZmFnmPO;!4=!r
ztOeUk2+Nh`C>=+77}5=DS-3<3y%|p0w$>FywY*=c@Hhjc=~Wzfva1Fkd8flW@2(+k
zKM&ZAUu6VSuARB-_tfB4>XK8V?*_75mh1SknhA`0Qg4Q<szC{#sEyCrEo2|N6T&FT
z0tLQp6KPqhV8obR6YIT$T-Pt>m#AcgSmE-{sb54;X>k2_>@W?G&keFB`>=y~X1<q`
zDiJc`Jw@cN&_c{o)gi=*6TDpG5Q|t9C|qi|%U4DR{py!aoD19sJ6&x`Mw0~KZS>?{
zr(pndhl~^0A8z<CB{1~cjsRg{k&JIIGr}51A3;&(1$}QB?u~9dL`lSD#BMRc+a-L1
zND?0ijB&*T+u%X+YjgP7=PbY=oILx0R{$0c^)ST!Q3hTPOXbW^Hn3_TADyoggsrYa
zW^uQap{gI>a4&!ZEDn79;vORmQDoAjgr+jYuH)~0&f)?C(NBjBLqtL6REfRjrV>2$
z%Bx=q<OWgk*|389;!xK#5+w0i3G72ko*6dqfIoG?Jm}YcFr>U&3u#q?>i0b}nIe49
zJ?LSIE0KbZm$H!_y-MI_q?FW_&JUmO-ihVkmIlpVj7Z>`5*%d~JL5qV1Pfm2D&Y&V
z@X27=y3SY`<}Zf_uKyJRQ-NRAO=EH}yVw%fUabs~?$W0Vn?)ctJ~XN?L;)&$YzOOY
z@sK;^!Xk@`ff>5Xs49ztu{x4DUX}p+MRY?R4M~9Pm`{b@cO`i3C#u4!tO6e=r_5`(
zq~I(3IrlaP4?HXK;qg91I1?n~e#Jl<w!BEWaTip;@}9_}#uZh#a3jD!DpUrTm2M_;
zDyu@!pGpnIKWcCw!I{3OT^2THd`w7})!=w{GxrLW1g3a5yBraDaOPjA64xaGM^jps
z6@d)LXC_7EuPDIQKyvNYJPDeDr|cu|P@wvcNka2mMPM5E%EEbD9hzI?OOymP;6lYt
zd5549^gLJ?n_5u^WFRh~rCAfKaxI^ovR4L|AS_shLWU;gyM_nvXoF&D>GzT_Jp8D3
za+ud3L+Ny^>*PgU_^;WS3l~Lz((0j9!kRjC$9_a5?e$?4i5TW}Q31mD<FjUd>Ts`4
zEp1x|0slMIVO(@XSgKKQBNmgO|7F;*javXoG__2hJc%%Y>%F?1p$1PaqdG#I4WTTC
zu>A855ylU+(sHE}VZK*S*i*y^1Sj&h6upR0$3?pJ=sq4=dlk4()EEKVe_kI$wpBn;
z)pGHP9S)B7I+*7Yjll<sN*l~oAa!$?yJc1moI4Y1dTts6%fQi|Hd_Kno_Wc#6D18%
zeWR_d&y2z4-@`ywSv>TNNUGJki^EqYRngdTV~|g|sWFc!K^nU{_D@w19Qmgr`csYJ
z=9T0uDJ>k>GWr&8#c+e-q=RIRgE43-&kQu&RRGID<<IkM%y6sLF2j+<7#MhQNu|Sb
zz@jxMYyN!;VfxlI692?#ugd32Lb9^3uvF1z@$DZ{%-s3un3fT^Wj4H}dP)Q4=-w}N
ztPN@0Ft(RyHiWg2&FIJel0f&l?@w6nH#AbEG&tv=Aqcg4a>Z(jgUGJJ8hh?E+9<gs
z``>$jsqk|>n2ZP{aoXctM5(Aw%B3V<tG#@*jrQu)7X<y1yOrr*R?ryY_3;<w2<!@!
z>AXzj1KT?V_oWZ7qlW`5Ra%-2;FNQ)coYv0$Vhm+H>%%252fmVAPnn+TUhAA{)e34
z%72{s(3wq?Q6-=^h*lpKg>A2+!K_f5Zjoc)vx!D6Z|$}d^nen7C2R>}gf|x@2M=&<
zqJ<r?V${>Ru$oMnaqy&reQj^3L#`X>=hPEJ6`499T{Y?;KDdLpKuMO}?R8Yfraw6I
zhc?`?{WPu@yN;;&h%GVSTSMQkFw7s6*M@6G7qc>YmJkr0V!NHWik7@ED>`yb3n;^{
zmecd*5q{0~+oztapw|e7cg)^t!jtHtrk<fmq+~dwtEG7vC9#kE`68<cifpm@F(-Z_
zp~Y|HO;(rC7i)?~o<?avD8KF{Gu(HiuL#d|)O-o8clH|gn>YX^G)Opp<pUyg*70`9
zYbt7|8J)jseE@dM6OVY8qKH4&sPBX=6~)Zc_g;?zm?6zo@tbGSz6-NIin*!il#gtn
zg*pXjZYUNvdNra`p@|h!)J60~`{Jplr(~FEQ{=U2dXH8nybUwoSwu6?dyXoyWQb!w
z({=enA6lR;Q!T4TMU{e87X$Luf$MqqQkKOankCiK*%n7dV@FsT!(`Qg?g?M0r1vmN
zRSjpo&Ax<^UON0#d`5z)dPmONg(K)2@H+RmdI`Ol*YoO>ItdOxV?R^3@f*!Z$-Vh7
zZW*-`X(-}C)u14H`;@WiIBK_VgX>Z33d(x-$v=f-d%0<!UmKe^fd-UNEe}?%qP_JB
z=gDoV@N?#8?~%bN)Ij|A#bYe%=*ipy)!IcO*xgj(7$eW1Oj99uzb0*<!^8R?x)g{I
zz;vO?^zj^O)j2gBa&QaXYKnaCaaINT&4XoyMHbM5HEd%R2X@dV*Pt^A1q4`|Vrnb8
zx`?I*{SBe2&|vt7ZE1Q_d-LmM=)JsAD!TlRv9$g)Ehcc&FgQsI4=LxKKl^ua8I?ON
za_nRk9k!b)^F8N|GBme{X2c7uqJH}W5~6Vo*yDF4xQCNUQ0Dwh@A0oSREq78ly(~<
z_WA?vXRW0Y#8hsnJp8nQ4n;ag_9ZZ5I`>VyEnnflNcUVW+x!;VY`a*(8qSK{IeIX!
zRtX2nlMg1x^><N=oobu;B6jRb%B|th$BH0*{jg5`FB<HOxU$eTEf-cmE5odXQv{Am
zlQ|Wj!|p{P2~n2Zm~`ptsq$(C*tX1!b-?Jc@2^^J%hd8<+rA~YJ{(binu|xyhPg3f
zHJ3-(9-HxD^BSLuTNdP@r|#^cm>M&7Ys)!jZG#`%WohM|E|7<E7s-F~3apsTn_(NZ
zuY%ZPju=a-t2|6gzt>#0WXH~5ZOXqiB8=T2{CGP|mWPn9hqfJ`aAKSBsT!X|#IVN(
zueJDv<$+z{uQevdjm0qdm7R;0!1x?oy?uD)VZW>JtAI!ztUN7qX^}??yZ7sd`4I(q
z;EgzW{UIwKc1qAn;CPrcHo^GWqxgh8bR6*^dA;Dr{u4XgE5#^_MK0KHh?dAhpp)Go
zXQUwJ6*@7J{Y(x^S!#3Gl2-u!z&Ce%1BJ1OGq1xey%aDW*XzEgdlbOe_}s4KJyEQX
z<u6NxDGu{}5F#dAq6m#RxdqW5;#lmKc;K{_GB!s0iK(;&2N^L`rgTe5j3$P*$_F7}
zL8k|qRi%`n#9hy!Z&3>4)iqnYVMD|=9dP`#@9<#a61088Mg}u}an0vEMGYG?mufxN
zt^xutVth1PWU;kMm*rg@5+)$|`p)b=HQ-XyBeWUHV?qrt{^=i3$9(x?N-FmF^FnCL
z@cnlR7=D2z@u3JA6Ihst7uivV*wBmW8OL#$mt5$P)gNSRSay5-3r2xx+HVuv-;^+i
zcA(JvQLxmMv522ldvghqlR0CH$LOSQaSZiPFvcf=I{n>RkR5EG{<eyMMGdsQ7yCoO
z?rs)cxWTLo&tjC6d1q9x&Rd>+l20jEq=P%_eQSLXh)p_nXPJoIVap??^HDI(-t{&0
zOa$Z?wY=I;RV>xi;=vzTGIp!Gb<lAfpv-8|-B?Nu(|^jW;PiupB?%b&zL+!w-75Fn
z{+eo-(aSpiBr`SaZO3qSPnQvh1T4LJBBO?V2slik{w82)?9b0pV~k-zdnRM^jVji$
zvr<JK!(n(mMlO0@6Htzk7Y_eR#LnuTT&!-C!~UH&OcC}rfp?nP{sFI5Fhag%#;Hsx
zOj;;4zC6tYZY)+kpF2#zn%(;fi3dfn-VAP&Ly0EvTYfD*Dpwi1+gjn#O69>U#||0P
zxtM@V46n9U2M*)^J(IcE%Y^;R?o!p^GJ&QniEXbw1#EXggXiPY3flQi=5Sb%F<d?4
z{%)v84!h00Bk<I*7meZ9>zhzE1{Kmh<K1={Y`77nHmm<d(rW4yIE#$nX~lf^wRS0N
z>3fj7_wXuWw9OLdxW_Zjw#+N7B@$SE5K9;?p9b0mbBdV~4WV|C*6#hP2o^}VH0US9
z05*5h?<>+6g4A4yn@5Ns)>C)Y?r|&=WE{t$KL!GrrZPQ#tj&k%CU@@(kz)bkS-me0
zClKJVDd;QK;>P?}g<3|$SmCJ9ZDP_t18`FP;v6y0hN)$Av(aR*LgI$+*4Cyz#B^UD
z@0w-AinP^lZoXuN$XezXJ%ak+nLNAW<W7qTRW24H_gEpQ(^Nf0PY-^|`xsU{*+9?q
z?JJ=_$_g*zUfj#x<3rwMqZjISRCM(+!~XdN7LaV%e@f?x4hYtjwdAKvqFaW<`|p!k
zK!XE&Qa+&#WjJ&3L)G6=pQP&^Qe+kgKHocih^!4=35Q>X2{fRIxy7}8f0#kJ{C%wF
zEiG8FH&1X_c#8yQJI_2XVFs<-U)j;an$Tk(^7DGv4+I%V{Lqxh3>LMu)iMT}5TL4X
zMPhpl(PDUIHI%>%rFKNFUxgY_vA(9mG4c;-JsNxE``$Uc?;`Nt`!rxwYWFtng9XGa
zV#sW8mKi>WX;7lV55Rq$hPkQ8CFBop%-3Lh7C8NQ|FM-73cTSvS}SF+ik#OtSi${=
z1-6A#D0x>YU|~OtMtxaFZsG|!?GIStdqXIzCzT92;n_#nj&C8^-*Aer{Mle7xi{G)
zm<;$ITBQD#9b`lFWD#>HJCG&W|06MwVXIo(PT@WcP_@#@>!lnJ`iSVPldcYwvX+}d
zJ+wgQB+9?S$_2G)8l8Sh>hSSFy5ArhJ<O(t5wp_w0k7d9hTRqtpy?BAN30n@upyV>
zbTK#V>=)~1btA!zPIgtfB1W*=Sg+T7!~;2FEMI$BNq}XQQm0v&;b0cw`gSQVd>*16
z&#qR3%X!>U0#Pim^xp8q!T=x8W<C7y-dzp0`(EX4^RWR}0P@CLQUJ~fWPA2VsX;?W
zYVab;4jYsGXZxcCq36iys^iV7Kse?Qry0))r|4tM3t5Fhxq$Zmw#^<VNKf%G2kiN6
z@}qxHAp-tM)NRgXB4pvd_#SHEhK~0k8f<}LknDq!b)OS~#`=DD$WI>V;<)*p<SGFs
z-XAF8*NDI}j&e!z@PV5pI$L~25>EfE@RGA9g7#6a%_olhP;={w&DJNWJwFO>eq&7p
zoe_REk9q+(!5o>Ax+@KV0~x2x_k4qw&+%vyMF>(nRI|tivT*i_@i)doBDiKOI<vnM
zhGQz}`3y;N5R_6`|8SQG4zc)0;X$I{Ywb09YepXU&0KWXqEun!OIWa+u{iu&8%(+E
zqzLTUEJAouHQ=Pp<14`J2bFW#dku{PLL;xp?RYilb9Sp<=aYiC4{8U`A5{jcb<PY!
z0TSdquP0?mN`uFE<F7OC@o=f(#F*!65-hvg&Nm&90i^!gGb=+C0B(@{7@-bI=XCB_
z9hZgR#!=QA#YDKElCJXk0vRqj-Oh>$l7lxNDy;ITs^C_=tR;Ps0!+S<5j{EbVAC48
zyq%~9VRK4H{ZbD=BKz(H+N=Pxd82LvOe83~935u<MFWJZJwJ*5R0I?EdiKmSB)B+q
zpem1|1zc6#Azx;2aQ?^skhHrbaQ#>MwEnp^co3@O3?`JI)?j1g;X@Jxhvd@is_BAM
z#KYg@x61J1(x>0g_HuDEQQwvU)q`yCAqGa_L3$(8Hi&}+EHo0P-G>dJvW<LapCAEV
zOTCw7@>c^o%k^)_I|Ph+3KP*F0(jhOW98ZVPXQ<Vmp$(T`2UP!34KC<VTq9kIHx_1
z6gT}z(K3YRC0GA`%_4wS`027GZag%a7C8#-d6wbP`U2+@1Q?1cq%VlWfuYlco+il%
z68QfJl@H><j+yT3#c%TPBg>#uD9Q+SY<M{C$>ZTf`c=LzQCU!WGQW!L`RS~aMq(GD
z3|jsflJRGy;7y!+TK!%Qeyx~sEF&sGayv({LW~$#=!!%Pw;RDN>7S(6>xv*M8yV@A
zCkQOm;6{$8M$o|hvQGJ#0{k#dwXaa-1*5Kxyk0*eNH1*s>u4$um9=zUuRS^7mFD@t
zT@@o3y|$?C)h`R1B1prNL`HBNKI4Ann<22M(0&*>Cj$wK9WLKOcag)~Vj^{+hLBR6
z)^~A93a*MV`HD;|BjsCvn|6f^p)x7ql#iGsP#k0mhdlow^CJwJbL9YQHt$>-JjCJh
zZ$Y=93%`&;^S2pg#sD|0ZqfZ75CI>FVQX&RZbVw-{_l<o1o#HNXY=|9fmL{=U-Li~
zQfNoGpEGCx$3IS!YKQ^=E#z%#M+4f&BlR|u$pBJ1>Z+>6_#mEZe#(s4fvOLnViTJB
zAor@{aP<KmC_na}VQGCA+WkiBF5;sHR}0^sd%DI2Smt%N<27BV`{5Ebrsulw*VKKt
z`v*J3$tI|5NWVh^*uGpkKdl4jii_e;@Uw#IEbRlk&&}wAp4*|P)OBDHa2B(fOyK&(
zRP^J<OVmom>HF6k+EA(IoA=V20j%D>4V1U?M-6N)ua<t$g73#pctl6gfw*SbAe;9~
z1b=!hzeG_B@RJrhQUf$_MtZ@Wx2FwBIGw;(7^MmGmk-9h?%6@Kj|Ajhp8tUKAEWMf
z{j<k!t;@loPFn~+qBcpA9zY7r=!EOdHQ@9WiWBFd4WtYDlkL2R5X<1({Wo760Jq#W
z&%C5HWbV=W+T-6N$Zrv2xkTv$5F%1Xlu}qlY>id|PKk^mM5b%K4R<MUE$B><F7pav
zw;ON%;lu<ox<;EY$4Y@4L!xV5_+{kI<nhk({Ar|RL%x<hnhZ$+ou}p!mk@N^ZbEQ#
z7CG3aPFSNQ!yt!8M6bdU(!*ty_=K{6y!N-)$&FHnvZAi*AD5^|ed)CU)AdC}eBr3u
z0*gBEMSSw|qf!w$Ll2nS^KxO|V}(PhB(SJ4(EBa9gcLYsQ={uvkoj_opyPfLFxqk0
zt^_V2JE&=ue&ZUVjvcW)S*`}9l6=0>8%xNcq??rd;SI#t+Qsmvp&HEG9aq0nw2Y8>
z<!57MwvpL^ma}gwRl(ZS^Kw-13gSSI%aKUhMSc~wa}JCXf%UmeL`1+Ua_E{Qw;vxZ
z$dwk1Zpjc~d})8R*rPS%vL!Q}YcL&@(vIP6FQ~xhNy?X7v+KyHu$eZ^7CpSYPW??&
zNr0PTDt*^3ZXyOVc}vf77(sRb-=|AYfX`(QV<bejk+m_NqE$C$(9p5jZ{dQ6>=i3F
z%IXdh!XRMZY{LozK^gY(s4_78s%Kb@rh&g^{*M$dvV(Q{ZK+Gj%JBB7oqG6lTCl(V
zqA;<V6L=Rc#z*BS!LQ9nqBgU1u-ez~y;p=Av<(ld+!R-WaU2J{w_$)k3R&Mu{CU9o
z_azPOA{_XrFEu89V}!cbtIBKhyr5Fy7gVQ>1H|H=Ldb1qm>Am<zLLZb4lHH`2HzE-
zQe*8@?P*phIV~A5WhDrOUR^Z@6BL2}*Tp~2&#{9+oJzZit}tx3Sq$V@D8f6M#E-N0
zIf3-k*2Kk16w+>+xt`yz2>EQQ_DVF|(0XZ&w3;Rk8NHrIq?r`qT*av+H!B{vxX<Nw
zHlrl`vSJT-&!`9s^pU1zO}s#VxAM347b#$Ef8#nVr3l@RUCU{Y@WW(6ja0Ou45+n8
zq`93`gxr>X70Yb_c=(fxhPFc%IJ#cVFx2nWsi_fV{!s{~^HGKK9`f*xRAs_$goB|?
zl|j!=5wJ_dB=1No0(ZmNcF*;_^}>$Or;}n}ycpD@wSa@*OFwNZ#+5+9#!}l+bw5=5
z?$>JQQ-&J^B57tXA6`2qOZy+$o8t<dxAR&Eu&N(ucIzequ1-J39l0kBe?J_YJ6cDC
zOw5>RP@4z`j1<RGXJi07W$0mNx0h3&Umf?5RRdMV;pGZjInb*ouAet0fnSInCSp&5
zUXS_j)E0TDsE)~-mQx4XXxFas8g<|hO_MmKtq8FX{Ldy#sl!3nGwbSRd;L2~&mCEY
zgA*xJ#We|J*zA72VNRz3q+utYAYo<rdM(RKdYcS$4R;ORjcY<2m$TcvFCH=ipSj;4
zQ(!z?Ia}(VHt-atKKCpoz}rtTtPye)2z=r3>M*k&2woAW&qY<BWuKi2e+L;}?sK*q
zQ8Iu)KLs6JE)nkd#=XiDA;Z*r@00e@04#3okMv=W?>v%c@FME)1DTj|k=*ka@9BoZ
zhpO;G>PtU+mm2K&ztp_WXapM1l7GfMR)tZUn{l(jM5vR8n9WWj5PlM$f6zr0s%3`1
z6s;&jb%G1+oQE+y8{)g$*FpqU?^D?+WJPc~T2eFe%^0$-ANuddcNLJ3J0#NVAPaAr
zpJo|Int+0AxO4d4y)HOs?4uKvge~0{DTg&pK(v0t?iqpy_8@%b#XmyOXT(HkQZRuy
z0Z}7zz7ph|=;7!y<pC%XOcbRWLwlUH=*o~Hd=-9UqSwj<D;K)*eiaylu*;u@?{o@K
zW4h@1Mr|E=<ntH#sAmilxS3@UaXFZhl)9US{6c76Zho_VYXtALW99NFGB7(f?k#~E
zKqq~8Ea(pzL7%{|{%boaI9OJ9@<R7K%KpQZEuqB_{u@y^FvckX0xugqrw!IopJAr+
zG5UsJR`bbvJ8O@RUyY!gp}VL+*BoTk0x+j&w~n|70-tv~o$mrIwo=kBn5h9Ebm)6i
zqXQo->6?4$UZBU8Mc$1axq?7kZfTlUGB+rE3fb*2VZgo%9DCDx!vKz<dVT%$91yRF
z9|-@C0i$Go77)+ShfjC?B??b7!?1Pv=lr(}SSl}rp8YF5NU3EAKdC|w5=tk!t`#z1
ztnDeBa-+JC!}0G{Z1)ag#wed#=dibbv{sr$P!}?k?nRHVtRdpjgJiWedQ8?kq2#iS
z4$v1ky4~DbK#EYkt4hiAm}0)HcuR&h&~-lv`beBa=zZ=>@Z;#QM*ka0zN1>uH=M1)
zA@dUvy0g%~(@BT@NnWm7*yGRgb3!|ltM8Hj0RRC1{|uLTG}T`e#Z8&#dFJuV9?yGb
z@;%Q`L{Umaq*;lG43&~lilRx%5am}<NJ!B;QDj!iP>~@+$XF8M=ijsLx@+CL_Sv7k
zPqr_S`J>pds<q;MbD{}MRdf}NxL;@Pp1X9r!;THDLci?E95;skajReP%FRr_eHICg
zYHTRtr^w2?*%-zRK9xEJd||phyY3jM%!aaFG|TE2M$jlOUNF05fZ6vlEhEij^`1S9
zU6-_sAd<_pxiDme`C+^+;i*3xHY}e~prsqah8?-<Zqk1;+f^rRn~@Fw7I$pEC}9XP
z&Q8B$KTI(xECqp|4cW2dO(J`E3LVmFKknT%F~fXm|90|O9XmdWxsuu|MhD@nJud?0
zeldUKvF*1x!-4TTM4U@*(SX1B;w6dMIi^!Jk43D<8oc1fGyhYS2KJXF){(~NnIGOY
zuxGn*;(q;!nF~)1;NkI*!`&kb%(^eM{$Jr-c!l?d-xWIp7~ffRRcC66neU*yN1}=w
z(RsW<xSI<6+KG9$xL26erVz6pIxp6;ti7ZfK?S=U=UWzcSa4Tql6Y_{AF>TG6vt$!
z&@pXx>sJ*kete((#41eyy<({m+Nbp){dtdP)FK<c);`I%d{qeDHtwB${!tHt(kAP_
z*mEE=E%WP+USWJ@K(Z4z(gUS4&(p-7tU(LehhMuyM6pb5@Yhrp1*RxYmyPwfaF*k@
zwe2o3Y~~wytSv)<-fyjk_cn54wLnH$RFgO!5gS}rpP>s6nHuX`F7jgb0WETjrzEm@
zOy1?E>w>x1$Y@0%KlVE`$GP!K<9=VpfkPcSF#IjyZR`m_JjOaXy3i+s!}X_=vl4Yc
zT2uV6y@xQ$uq~YQ>XE~pnqm3n+jW5I9X+geNd%WG{zaIwE252|?FA`Q9jN)quoCJN
z#ej@N>t#)4TuifGK53u>GE>jV`Bvh{l3nWEypM$Jj-Pm?*6V<_$~U<9S^^)4<Q~+2
zu7c2TX!p63I?%zftyg%r6f#O!v>KJj==`T~rt6aq+@9n*u!|&vQk9(t3T~_69WnkR
z+1qvDu|vmYf<+Do9R3{_*VaIyVNS1|lL9r<FCNY;%i}S%nLz40O?+C@uKR9;0)O0h
z&_ooJ(Ej<6y}yIB(a*BzB|E!5)c;6weweR}zq!6Te<0~%UwJWHq)_3TiPP-EP7-ny
zoTv+FrJzH>p+@CJDvU9{ROJb)qVcJjjn_i-G3dGM>$q_PFj`43WZgnWOI<z<zi2A9
z(qAa~u+!mr*e`aGTWUC&d!eDn*Z|2t-Pdh})qUALSzywqj>X>#Ro1i_pfrtkqAc48
zP9EZaT1nPK>n9xx@f&F<SSH^qt7!u62^YIMytJ^Teb%u#orbEp7i?!6OkrWr;YC%n
zHmbG{J-_mjhVe=KF0S$BP&ib?Tujix6wPv*)Jz&)j4NdM<YEcyG~Bvw2kPPix;J09
zrD4<Y7yD}Dt>Dm|1Dzk#DX9C#KH|@R2B>C!y5&JP0XK#oT|4=Jf{Q}|&u-RJafHS1
z$=ND^tdQfIs(w<iqver;)oy)6u?1G!vkWLRb<ixCreJMQ;n;MoE^f7P49wK9hQFTm
zBMn6qB<)eHOzYOdQvTy!`yX3_P?!FKz8(cX9~-U_XR70gClw>Q!Zz@|_Ow!?pDvQC
ze$#CeRPpfXdo33?*#OVmULTo5I#{C|%DLA|87rjsZ6NvCz?>*oagnh$Ug5SVr)A2b
zFSTyn*4;Kxmus$4-l>USBLmbOXT-7pN$<rUYi%HXo23eUhXz(&ZB<LZD})-K{UW1T
zY=G-)qWq4xYS=E0jrnPuD1Gd3o<xB)d<$Hn@R7+V9cvsxRQ_ZBv<>S#zsVYO+4j8M
zd|CyA`#N`ewM{W~H&4{L4lv+k>*jf>Z^~HTqPw}-xr_OrYu;*05CisI7}xuKRS{YG
zTrPW^U=o$)2O9Dh0Xmc-b;A?nuvy)=-YL76NWSOC=sE{*>T^h5#zSe0vrg-lUiv{y
zcVy5X2?E6IKlNvDP6Ep<0xO+urigJGIi$&ufcD{VkH?{6c<yG~g$mypg2STFvVOA_
z>}+0)xS%0|I+yvz*sskJekSe-4xwwonPli{AR~zHE_%3B3;ZJbxqk1d&$NWz)I$6F
z>v@slz|p&Yah8a$(en&`Zvl_4Hmclh=R}vNc+=+SSweVjyg`T80vuknZIpV=j_Hnu
zY63VzWKZ)xu5d7iu#5XR$*ioH-ne2t+&oR(s8!+VxNHW};Ai$u`5&`jN}*f3YKl0$
zy=@2it0}~ldgg|-&NJ;xPD^HOnIz!S-vuW<Q@9l7p3lqio4LY}WZAC#lSuie{%|SQ
z1O(6T=)dx0npquG-9%a$CDh&JxCZ-;fs^<aOpgD_TwY?>zFiz44vpO@d}V74y`|lU
z69Yz=XBHQ!3QEHS_ul*fhdd)Fiwe21<KF-?mF`qA9WY3=CBNu%lr#b>>EEB}O1;d^
zBMtU>69YtDWL$qrtRW1(y*~cqY!_1|amsNdv!BRp{#QLUzsfbAoo!ok+n9?TzAxv`
z_7P{Szh1FCN{52LHP!QCP0Yfy*J;)_dx`3@@~xZ4Xz=P|*N;N-8)jZUjYGZc8^IA!
z5H4_t24|d8woIixXI|)w^{TwnL$ob_Fy6B2Gxu~J?^eHXpIQ0t_lqB2x`~H}Uy<2^
z4S<F1ua9MPIH9`h!iSAP-9+E^du?l0{i;P@Yo{;iA#qbz?o5+MH&ISXjbX%7A?}Q7
zGW}{P!S=6*QjyY4s0AMy&XA<S$<S-wuWFdYF`j=dD>6OApH#`8LR<7<B1ij&jousL
zv2(tr&O{H9&TW6a<)j{n(N;>_;T;i~`K{ibtCt9q{~@sLF$HR!vOdI98i~1c!D@Mx
zy~O$puP;Xq=)&%RBO-s<TZyq5J-dpuK7w2NH%(qi7rti;zE_!gPw+9fiU+R#XM3yf
zh}13}h`AP4%{kCUP-lBf^_m8VdJjg_#$0W1K5V>gdEgU~_rm%1fZ8CDF_%-2F|7p$
z>rDb>7CH!RgFv3Yc|%0&(xlZSLksR4D4Vm={Y;RIvQF*UJwkYikmS{FYC^D(=Q+pd
zuf&x3UC{?lql8ntc&g^K26SEEEz@K9MjY*rqzwj)6P~(Fx!;{NV8OYjn!U4^SeMws
z{Ms}@ylpU}uP;`IuFxwi%1-@+ipj<4(`8cx+3ia_Lrxu%92<6R?HwSFEIMtr(w!m7
zuLiZgi&uj~n@+jZrw$U*mj;S+-^~)O%@Y7nK(D{$?ek<9NmvY6h!`f?w7;#tf8{rE
zbwSPKPyiYF9;k`GJpY5p_?Ih`dHxTP*GmpQKcWgJ1cd{g>&FOf7mH6POa2m$lD}uy
z9#945&ai!9wiCoz;}x?q`6c2lU#?)*s0y_0zpH~$Q-n#M%hx?`mI-&dY-)3`3XD#5
z2I(wM6XEyic(;oM{7ZDX=2l3McYLDX>E0~y`iR1%gW+tjs1U)uC4~h265&7GLVpuy
zhA)>su;ze=Y=QTv+9X(acuT^M&_BepQPbFIOHNo<9w9MTs|=P&Lct1oe~AO6_hak)
zxnX={B$(u{3`YLk`!35a5pRxAYc$(=A?C}N=N2htm@KU6Ib6R?jH}!kN<AY0pS%t~
z%DkooovzjED|=bscwNvHAv0l+bRJbF@hd^BP))|Q7&f>%ze{YeQv~iErjA^=sR$px
zY2?>$=798D%Z=A_#9%%%z2mK!B2WYvS#{2wus8fhih8;PJbAG9(7`zcaM{&2?S7UU
zLej<Bo9d)s*3nw9`Mm->xA)$2XMz_XzhHYmMHcp7k(9Gpom)3?&k3dpfU@|Dz1SoV
z8VYyLQ5O}U>Xi?#rJXQ{=DK@kKUM<jk4>_hwktyTt`d*&ei7J4Ez)>)kOU-|dwyLL
ziV)WL-%Is}V$eLfzniS63gNwTx-E@L5R@S$JDny0YDVK}MyvX8UpQPMa#|TCBv>T1
zUP{4vnq{TtA9W~M=o_B5CxJ*tWXpDbS=b!hwqHV43;Od;i#0o`06R$nj$e@natZ{6
zc<Vrkg5JM9*Hl3)*=jt)UI{L^4XIpXQXoY5y4qE3HIVs2THY#4f~1*^<ONwOoESXv
z?3b(tJWT1HbbqJ<yrkRx_MQfycloLOo**qCUh;&3GZ_l6zf6-}&Fkr-l3WxsUC_6o
z8yx3W2cx+6y1VP?a8&TI^vDT)I2TjVf3-yeE@vG+m(XtrPmewo8_zU=YVpigk#sE>
z^0gHT|6l}Bku!aNs_4)zCjOiEfDV`l-W=e)U<_&0!iKl1#&EG)h)<hDf#y<UPMKfE
zp!+sDLFR=iD8KLE=%~<xp4vCB*w{=!ys_4LJj?>#CvrXR7N>$=Q`!BGImS?Gf2dO4
z!3uI%eABk&Q33mSqF%Ka!5I#|2G#@s-Eu35a2W&Wkl$5tG{z7@o`s%E>1Kdk{f39*
z+YP|(XJL55TN-SAdf0qf$Og8Jn(|V74WMpfgX4z(sBkA@0c^x<!I^{K)r4jM<-A(e
z_o7$*F6R8ik*~IJzD(O|xt<Dl%Wl6J^3{O&s)*0*`|My;^O;YS9u?L<PO4l-RRM;a
zcWiN<9jv^z>ihOa5B%9@dCgsA;daR4Ptr3xSbU{Yu%%lUIBt6K`LKvU`2C$eQ?Ygs
zo%nn?{kb+AQ*<ii@nMChZ&X*->(~MRt#a2{KTQx<(Kgwa+(~Sz&WUj>u!RoZsOKZ>
z>fkk_(iVJsn)!?+ycy+fL7S~p&gG^m<Vu93-Q328;-AC=NT+O|=REuSNE!*;?&t-E
zmh)g?((-~_r#0-~!AaD-R)8znN#Aq`A-v=t8yZTt1}ozSW6o|e0K%DBHMc}?a%`_H
z<thWnA?blJdJ-V`)+5ttS`?d;8P#w90=!+{^Qv&O2t3Vv)8tSmhS{F`eQq6GT|@dg
z^~^Xv*l}=Xstm+Y`Y5x<9SLwB8ZJuVS_8#Cd*glui6eP%@yQTcfpQG8w%9HcHx^{s
z+k;ngV2#75*oU={wWt->lsQWnP=6N-ZWG5?_aBz!GnSCp_NPxy_B+AmP1{+lE{?oF
z-E)Donv0Bc>0JlQh<{?zWA!s)c;dpNIOClbP+l`NZS}L08Bo0EYsYIbG%VEmcK)6@
z2)4J!hA~E&!KsIsu4!T@?NKs%XwD4I4#k{*wRx5~9D8<1CRz-Ke){K6Y&L^&Mb?BT
zgY!(k86Tt95n^bX@+EFlsVVsRPfdNC`Nuq`rnhk@P7GZNpC*i{n8NIrbPn0|tk_g!
zJ$c}f7zX??j@oe31P&x7{V3kYj-oFN5^fHPp$xS<NLb7S%9=#DH+rwZF0+C+K4#)L
z-8;B%<+?G%Cp(x~n{lB<v{UBpTyfm;FUx6G$ru#2eRZ{3=EhfEVdsP?5;$>V-Q{nE
zMo=qBK4kNZ7jGsW@GftXz|u!uDoyrAuof2vOMLlJBl+2t)bo<q7R1o$8a9MZ?<xO-
z{DLTdgmmWXPAOE`eTih4WC-%DDo_3^7s4AyPpUuKD2;WIt^OoSL&%9!e5z6=j7e4(
zc@*4baIiVu<Igl5*s`1#TyBbBn?9r7=9Dakb{Tsp71H6*T`h?nr$zCc?Ss8Cm2yZs
z(h?vUMu$WS+eWS+F^nVWkxob{;Jw1NkB_XUujctumFXj^@04&<m%F5h69OBv>q&I*
z%Ag3G4wFFT6OU?51e7uF>-X4UPCC?<)Eys8l0+x2%(>=XW&De<kn)EHG|T-Bq!KBN
zjC+}EfF!i$O;IZNMFabo{v*FerBP|jwd=$q733y53-woM5Gi97(n*!YaEV`D;Tfu!
zFum=Aq%<8`>hz`l#>wIHqW5Z-)5vJNqCz<ebdc%a-%0){kF^U$63_0aVFU~OaEPEo
zwvooUSGyJQu@C#UZQ1JBC6FwZS51dwdFOWL4=G`!Ri%*Q0}b@4{LUV)YzUD<4w5-9
zmGQECxJmsZO-!*mAMp5!A>@v>Z6jSEp%S>9^}4Tx6E($)rQ${)?w_dUx<dsO1l)J@
zrfB2y<3^Vz@{M5WcCpqDiYoH9=(k=yqJzi2Mpc`57(?*!*2tL^Rpf3rucGMdqF3`r
zj$hIykjE+S9@Ij{V4GP5?)SPlB$)elc+>=bep(oLm#T)YQ8AV~ohTUXRMx4|WC}%D
zm;6)Q)zLP2wmdbBf&yjrYbGnqAiFk_Rhdr%$5ZdVC@)#<k;fi9eOGD@x2IYvZscoV
z6y5FA>r@J|N|bu<E42Vl11~`lGflkl_GXD1Q1H01$C`#xOXxi78Tl?>6Mg=km9luG
zi$!t19Fb4g0%?dZ#g;=0o0NwyBy{LtEhFQ{gB&Z+j_senXsLx^oC8PL8?-T-%dIi#
z90BH(@4H-GwNP}A!SKojE#wxh=KP`oQ24R;kJ@@I%;!8UCn2wi50Cq$Xq*AKe0Kil
zSt%{Nlz!W-FhLz7r9*|*)&Z0cm);qFqltm7_ikV4C1bvzJr|Re0e`o5I}f{PqN#mS
z^@64<CXHw>%xW@VgTmv4;YtmxddlaqDUgH}tYnc|D+Ux9IVBhfY2bTapTG2zO89}p
z?n;HtDyM45yB^!CBhLZxutRI*QRkhA=ND53)E{2Y^DICO<6dEOp@9s-Sg68fB?jcp
zd&1{fGCuK}CO7YuL=xqaZv3hb$H`WORHmrnct;MkrAG`mGih_z-vJ2Tl8S7<rGnvi
z27*lPiD3U@MZRlE0BHpWcWuoip_Hv(afiPU{x_vuZohH$9^TtUEdMEEcy`;qFin0e
z%ncFr-~_m~{2^?|K_%2Q`FZ$f2oFX_Z1svfPJpw6{IP9U6)^AOj0~#-7y43y4<7$)
z1y^Q*C`oN{7;@*x=;K>!aKB}Rc$2vm_?d6Nouey@Imt_o+@2ix^t<?w?X9(-agOJ#
z!(C}Kd{Ni%`wTm>J?^sG_{S1Py-(=uqD$fO$wLdzSJ*J1+q{p*%@Q8cxX%iGm%t%w
zzU8frY<T~g&vWlpT@Al$2_Gn4<w~VYLGxEOj0)ZNaZ!48E}p11k}ZZloM&n_YqDc<
z{Nl=iD08SAncM%SP!!qg9mC;2b|h{I>G2Mm!RK4++&_F3!TIeix^!0#6!!ji%)r$Q
zatkZTM(QG{(owAOQ+*Bg-X?P7s!hRqlYzkaMPdBF^?k`fkrStalkP7Vo5H7#|1$ge
zg)#3#;CpprE{q;cubY2j0?`Gg(M!%k*fJ@Y<>1eaVK`@Csbd2B;~xfZc`k_XAz0L&
z$%E&GGp_&0Tg^@JLSkhug6NWS<!^u<A71+V-zjwiV+g-xa>_<Z5U1?LIP%K*@low8
zS?;9~wB!t_+VTqG8{MMiU|&HroTSM7axj7olGBo)DTo|`FF$&S38Tj)-_n6@L->A1
z^3}gUL0q%E`;_+@5p=FoOI8gtguQRy?vL#i#2(Izkjf>xs-w?6za<R87bYf25khF%
zH(@p}D~3ug-ov>s=&*Hia<D*N7$r#NA@Qr+KX-L0K55^o&(|7R#a<D{UHuj|-VqWw
zv+F~Hh!h>(pSbNLE-iv%Jq;^qHIl3TVU%{Sg$6_9Pm~kIBB*|&{N;8nX*{|!KCIy~
z4f@;@9Vd5-qUm%`ct*AiR{m{wR&b|5<G~Yuo~w&tOW>Nlo^&}>xEx_=r$vJ|+c`M&
zR>W|D?bAi4ukxt9R8QgHSncnuQ+j#h;^=Sf7eA4%h`c>k?zA5UAnbif>(ZnI-i@HX
zrdcYZ&PF#A>{`veLd&cw+)`+=vs${yh=h+-9{(t9HvrY6Ir;w?OXCSjktVB!3i1RC
z-!$nnfU#O`f5Q_psO7oU#?4U`4Ib5>j94&$Z}Bc)^FGNU-TK(bv3+C|xgn}vqe=tc
z1zK31ojitKv&g;~uZAc1zr!(a8XOGHi3zP&z+c@CuY3#CacdfTKvy0O>h>yK>)Ne^
z%*Kz>uevlarF?$(dI36gSKWz9j8jGv<ZfwZ(?W%M(N|M3bQold;yS#Cgd4Q)`+ZT<
z#z_HwkxpSlun0`a4_>E&VsnXK*RR#VGf9>+#m@{uICtLv-YQ2Z7DvNxTI*tmJF&YZ
z&<MO3j;-e<$#_&*IrNMk1=Vk|Bn~l*q1kLCL3^2ucCpT_;(sZ4cl}@=tF{SziQW5A
zqE8J&-`XW}r0F3aQ|0a!byK+ixhKfyr8=^&8>nC8)<-C_*OD+agQ*j2UM1%>P;kll
zrJR*MYHaD-5anzRD-o69k+z!1R}w@?py^}N&@Zp@V-^r`m%=^qLlb4YM3e>k^l(6@
zZ0Ay%B^(*>R`w3j!h$OG=$v(W`1(drZON;(5VdD)VfQyJ)V3<B;MzmMzEriAj~!N^
zBx#_mq@j(~^KtvQ%yf~j9V#@x5m0$1<4=^mHs;$}UQKV-#^X+D^~3uCQa`)61~Ifz
zj#X0cjjk5zUpc<^V>19_Brrx)L>m|Wt4>?+)<ETlpU1k%44~6r#J?%iLeH_6q)WkS
zc>g-rnB4&exZb_SYG9&;X3?%2^Fmc|PC>+#be#d)w$CvPQ#A48*xRd7$4OYgDP8FG
zgaNthk_(C(HE@SVn`bzO622nQo$`wrz<bTbZ10#lI-P%dy4zk3H~2GN`R6h~LUgTa
z{Hz)pqFcdmqZAGoN2o`fXTT_D`Et%E87HDRw}obiqxXSy#y?L6c#RcHtZP@ru<`1N
zs2UMWTDZgMpvr)?qz!AUUaDaF#G-V6iXifTD$#k=3y^VX>pJc%60)XAuDR*Vi}xOA
z=x@3KaHZp6cyzonni&~LG*xoq=Dr;@lyw00+Pt%W#uTv@XL8Q9v15ANmxFBI33y(~
zRb<n>s(-Z^@zfYr)I9svF5H*^TjRmh*<o2EWEN_4qE?tAIc(b%<E(%^npW8(B!k?a
zvpdVjmzWOTmxDfkTnjU9mC3kW3J?D73!kJfGIe;W4AjYML3{6hz8$Y6P{S(dUa0W`
zbLMdEm{RB}N932AuWuB`J3|AHJiGofBf3V<-+pHSBAsHN^Or<1cp!rPD#rp-o`a-J
zQ?h`-fbX>q%_2zmpH|n*Szx-N-96_BbJ(`2Hss-JVf4Hov~EMrBD3mEpPyBS8Gz!c
zgrj*v$gMcALY-S;PBk@Mq?(yQ+eiM;?V^HszWkKQ_~m70MMs&>`b<-ZI9hp`TEdTJ
zwogj0(pm7J=MlKYV+v2RNb+3Cd>E7)^8A=ND^~FBSTG7VfhGsJ*r9A*oceGoS9J#)
z=4`SgYmXVj1p5uz%rFnO=$p68C9~rtm;Bu5-NtZ4S6DfGCl5}SR`0yq!+{-ov3U+X
zt9^m3Wp<f`2luDGX?|qQiK<t(lT*BnAlW~_(WR9e>$OU!YAd<0NuX08aKI1_QdI{|
z*KuR%hK!^9n|bi=10w0Kzaa>k^J-6xa^q<aUgv-Rc(EXVdClfUIw*9ozTQgb!Kan8
z#b;{x(e~+g@|`3)+|rzMEWXQw5g86;E%}0&-Sb|ASAz})e*X>cHsZysPaciWJcLoN
zd8nZ64Gk_fZj9!g;KdUG3Bxe~BKU8(glFwR8u$!+H_m9_!=HB*RUK}KVzu_j$PE!1
zn4X_&^K9lv)99kO3m?QVFSsECUK@Z<!={5Za{?$w<=^~~EP)vjYgitI835V)Okb9r
z5Y{}}_UpxJpU7%!P1$B-08Zw=DrR>IqmAuP-&zrA^exyp_IZH{hrb{Bx`!fyE{!n)
zM+;<d+gDNDAMdEJYs(YY1`$#G+jL=x+fNS9$Go`ZkVOT?Vuo)&pBVZEv8xpk3drv=
zuht(;g@IJcl>_qPIKsc=Y+<<S>(`a*$^xkH!M`<5(pCbm{a)LCK1Uf_AE*aT9iYOI
z7c8&t#7N@KBC8yp3KG68b5j4fdVbCArw=cFk;2rjL=U3@6`VSGhtzbA3QbZ{Ki50S
z;Kq~oReI87^qc>&vM-Mc)pJ_<zgKzmJELV?f`=MnS5>y%cPhw4JTmtVm&du3<u7{o
z)lofB@r8zg0o>em!=j6(h`y8e?itQ&paVC9>-|*&sNXs!CC;XdnOtX<sy1n1j@zKk
zvH%VC3Z3K7`K^rBrt8zEa<p;RtE^0?yEM4n#8qcMO~SYv=iWV>)<IX_h&fqjIz(s}
z&d2;x!R@kIukKPQ*dF}BZI86!sy^Ksb}gx*Z}p(8o4X!1*Nd7Z{xgIsf4j=6HEQ@y
zJ?E*8k3OErE@CrZHiG=*ip~Lkb=)y%;p(P9MahyaVnQ+|U{A1RY!%SJUl6AJCy<Ie
z#pJJ^bu@)Vi^^gyHcfn7E4VD2O+^RyKg82yGdSgw<?KJGiOt2g8~=Mk#i?dr(Tzjq
z&?{;hbgM`UM|WMayqQeJZ^4ITZ&_PH$##LTgk9R$mACD`HTG2e9{>RV{}h*pKh^&m
zhV6Omy|=^Ra2$J{=h(_9g$8A$j6y_4A{DZtL`Ftd-$*6N{=6y5Dp4{@R%EuURQ&w@
zh39qO*Y(^YCupDEDKG}jN_%_%B?8hC^UW(LR!5#jC+~;-Fo8!u-5S0*s35;X39U7U
z)zJ6c@t`?jfG-6nJgVbW(9=qeknmPj#Hx95*{Bj=Q#Jy^QdN+aS++&cC;|O9Hu*MH
zg$mc3_lahDsvx#v*ZT1$B~<RE)_Wq03U}=dtF{?ckaa-S`*$IVi0(7*dCPe!IFoPU
zydntb$T?-^MSgk27Op)pB5MjEmF&x$NE!Jl6jY5qmO;hEwy%Ghnt}w0-LPp~3902+
z{cxz4M4Z&4<<Wagq4`Vegz*?2t)#fuaaoEYwztf*j)tai&tZFyYO^BRyV~Aoq9BN5
z+aEt(6*7g$=I4hZ5*5(mO9@wpQ@kj4vhVDHX)4qWJc|>yl1B~6>!GbgPIOWDcGl%0
zD#SVz3_jSFMFw0y8tw+MpqOyK*GZ04uobI2;qX)j<?@Q{&AdgA?3jMP)cy;wy8l1?
zksxUlekjEwKw$?X$nSgnuMl9mOYljJk0g3s*IP33XcKd{(>4A>0eEMUn(>!a9I07N
z2{2at!rIt7dAgb?z%he&+0!k83frds$u)n&8cyS471m8)-piEc<pUu^BXitE*ku6|
zmB#2qG)%x~r`J;dnE;Y6`SJqSH;d_-$Z{$K7{mD{-&D=7d?;4nmlFHH3>LJk8FskZ
z2*i{9*(|BNDC$h7WUb5$_MnTN{>)E9_@HuoUcH?gRYVx&bH&bJ<WGgXg9e7c6?6KS
z=sQlNxF#ad(C`H#G=<gmB^ZD~CW((G5Qmm@o`~d?%wdXmSj;bs=tI~6v627wv!Ttw
z!eKAb1<WW9mCUN^L$D)vk!d&!N_>PHc}u&DUHf-ofH7GQVsI>%8poNCRDfyMhRk=&
z^57Gp?gd>a`n+cIJ(dv(McqV-Uw>fCr?<{XIp~7Z;Ck4=5eD?V$}jA0-!DwWNh<C8
zGac|9PJa^aLyy`=gnCO~uVL+PEdD4d=s=Q~6^(8=9eQ^>ct~-60}F`vb*;<N2Cv!h
z<VtQjB#^>TkT1T4MIRkMb`7Tux5NT;UX{`!JEz8bjlO>|H(CjYtavS8+ZibxK2D41
zkD7lnAK1o*0}`*jXV8Kp*wF2(6k6mvI>s1MMT5l4`^U@@G-3OXDRqcSixSvd3KMAP
zkiEmFuTvbFkQA2BNb;sdit3VU0jKEE!WH-YhTCN5*}O(|x<`x7hUIQto@PKa*v7MW
zcryH0zqr?njSjtEcx-d>JQMOQZ@FaEqyeTp`W*d9bjX&FQMszXf^v2Q^HdLLz`t@K
z&r{0u=;8Q{Pu4$K5#P1|Q^hwDTwsttW<5)fel=Qz)qZA2!$E_`r_)I=_OdX2s*M2|
zJzJ7({lS6ofhU|rbV=~)X{N=mW=3?8eeM{SAUE>7HPJ5Gp$?#z(-=3*geLU<b{(_f
zK`UOa*A(#TK<gx{GAY1<CLiBOeV@sT)H_*UirrEJ!{*$Ck}y_uX3Q%uWs48(?dcp|
z=2C;DG286IzicQ^WOb+Ff&k(Wyw}!nn+P778tQZZ;ZW6d!K}T65K4BtzWJ6!gb8^O
z&h}VN)bze7s%Tso&CSp)zZg-4gnEy!15|FbK->AEv|SXnzT_o(-%<s;e}m<>j_@FL
zcTHEl9&seWiQ9hbtqP3wwm_4@i>P6X13!LCBJVr1g0Xh0U};LE_5Z+!<TIo1?Nmr3
zQsc!fs)H&d@lKqUGZ8=sX6+*W&B`G4&$2{^09AOV=1}6=CWu~Gr4dK<<<N%&O=X*E
zRWMnKjurD1MrD=8+#7}RXk@D^-iVI~pQZ}_laLWb#e1l{%)*Mus+nk-UrdAw>zTI3
zZ821iz-OWmk8a<&8KiYg4U}%N%VS#-NVA~J(OOFxg$R{!^4O~bX*>3d6q__UO9$T@
z`w6H+eLj|8NCMJ%+?yxzGU(7=rvh@ID*B?RmAJi3f`=naw+r{mBJYssyQ|D<sIAZM
zct@KCIQk3})L)Q8z1cr5`e&%4BvCxWo_aED-dp(2{8SzdT;h}Eh$W$AmM3@e1~fs~
z;REH-cLkIg7w3IcP6Jt<9K<(qYXeP=%)T)K9&xv<@f%lapyPeYiPW<?AdzFwUhAfW
zu8M5E8Ra6Q(_yHb>4z?`y#K=(5~qyz>Jx4qu^}Ve#ph8&N&0}N*&tlbAfWi952w!W
zBO{Ui{(f^^Lzq&!JkuVhf)Z@R#B`;|yPU2e*DM)<{YJ6Dw4EvnJHL9V>ahm8d9(B4
zjY1R9GOk~oTu?>JtO9@TGijiQU1x=3WB?4PR<v1;L=?Y%$ajx431LEmksUJteN_)8
zAclx8q)yZ7vZx`^F^>(En^XYBxQ{$%h-fWZe`hgN1=)5OI|$%S!7A>R>orj#qLpP%
ztS?eRsf*rAy7{JHK1GKr6IBs==+asC5(OlI6F;@}%@ml|M;5jkRgmZJMt{HCvPi9N
z*d|}b3@C);GM#4x#HJWpO4N};v-Jt>3S={=YKstGzM_m`t|hy1UlBovg$HiS%bUTU
zgvy>pRV5@jl9xhD;YYRaxY#ZKn8I0mMXS<!MFcC!WxljrD5PlW{$!IWRAns$WNRp(
z0<W4-+#@DL>U0T9^fQIc747Tqi{#Mwg(su(N;}w<?1PEr?51!@!{0ccQx^F+I3P)f
zUs#8E94DoO3f)XiJN$9d$aIjo{<!BfCim;w_;W2Pw2e#YpQMvSbx+b<!rmcl#?#cB
z@i_oFjpwn8j2N2AWe(bx+(%hbtWwwB2VnGVX_C=L7|q1RhbnY`rr2k%oS5JBoyaN0
zS(`Bdbi9r^SNhEt3Vpq$;rme&aO7zV<GaX*>~D*#)Mm|7(l^eO*KQlb=4UG1)BQZ?
zn9tyo1LcbpN>wa#sFE?P(W(o(S8*aq#ml&gqf3<Rr(b+;95R9jnpRO;{Orj7jmsNR
z<|WF#bk9+}>xRHMQvEh}gc;#e1e)!a7AP`guij(525|Rqip7;R2IQRZ(S+S>o?>w0
zpvVZ90X%3l)iU(j^~iRSP?X*rWvD?t(f6=EjQnev8x*HOS9VHdV!qE%o~K`(e|1j}
zzN*Ovc<KGc%)*YC&?HPz47sYh9{kgVshEU<pt?;=Zzj}Mjc0;_XPM6JchQB13om%5
zD%P-P{|!V~7>`j@f+BcU>U4m+pLoQU_7_H)XQt~oH$-vCVKaXvsspRjb!hR~cWkDn
zqW!{$w-lK?+HJ+l+5m}yCn7E{WBL{2?t4FWQ+j^{XMXsm1?3gxuX$A#Fq+q<Bjpk8
zl<q5sL#y1ifK$jTe%xseb1%IgLeKq_QhjeG>%x0Yh`H(C*0ef<F<i`^eJ*&LqWEHM
zT-II_q(AIolG~cXlAWSe8zPFZ^iQT4(cNSSJ3E-le`FHVeU>Em=Jiv|hU<IJnLT9S
zuCj5bW1GO{?YJMj^lro2^mzq8^l5-H&VMG5b{sR&|60>{?<F>W<1J0$K@F&FY%src
z`XlzH=4i7I>ci4b+l^L@lOQGHvO~Vr7-muV*z(QzTdcM;GictQ1lz}}&ruRav0<hc
zLfymfutPNGI-)n#A%uLC@4d_@cH<&1<LuA}>{f=<Uy_tMw0aKpCvc5oD(O#G>83`p
z1+9#|9edS)-@I=^bk8Uze2yq8LqCpf8{rZJE)qf4>r{GY?<huEIDVtHcmnf@Iu*11
zR2BN%Rg6V4$FL_YFK5M_r?4`&PTJ$YRKQkiqW$BYj~K&b$6~(R3`YDAFfF8`0-rZ0
zoN4AiVg45i=XAJcG3JSAQQSoWXu6Iz#D{*yGB+BpDoK9DmS!fWrF)dY?eC3!Mt3K$
zB%)p4rqcoz`|jR`v4k@8=D*KfuAIagRK&v)nwPNa%SZd{&MASlmW-Lx$Q0)BIxj=w
z&^OG!=HpM}emq36^UV3H&R}A7f*qL953HMoA!3JwhfB`vjb#;IFacsDm8R?`=15YH
zOvqA%Y;^<YHM==1P98FQTvjprs1585jUwcg<vI7u&SSxgRdkVB>zGYWX4;291pvDX
zwc3P5tp2~Cx?ajA=7C$dQ#vgVwl>`}PkolL;p0+Qw=QmB>+&3X%w6T-*zj!4h3RkD
z(~f(|EgOF^Myft@--sNHWg7Xb?fZchJxs~=c(j8Z^J&4myUKz0fuX{cfuESyvvXzh
zF0|;N?PW&Q8Ch`qt;13py^6)%rCt26O@|m%&zA<Am4&Pw+uLpj*Rjwp>Se-P2DCWf
zH5bkx3j?erYIlxqVlqu*CE<fih#Lk&YwpOvyVv>@kK0?Ay81?R7aJ>bdZv56z*q)`
zj|y$7asR{0uUt~fyTFbz6#m&w&PYRS;Kd^Gt{tq7DMb0J8Yf~o`|q+<rZlV?ykA&8
zL5oCZA08LT<VFpp{nD>(r6HFau216Vk=WkIqt&{+NS=1-UKN)#m_Z4<{{#bCwb;k^
zn~@*c>euqNH%mcQqvNeF(@dy=L&krWP7vuw1o=gUN&)>F@meNvR<!3yMAZ$lFzTxe
z@LRQ$f*Nr((~qg_s7kJ5jhrKjoF#5ON!cp}rrJkHohF=!OLFnwrhx>q55xgFCj~!C
zBb2mrxe@GRSzYCjMluP}Mu*-?f!9^%9}Wh*sEzM7%Rr$F5<B3&=%6hPDcGxx3OauD
zK)5e3;h-Ff(#SmAS0)WK3V(g&)&-EHY_ivessj4n>wPXCWWeLRoL+>GFoL$T=_<;2
zl%=vh1st-_Hl{gF?<<NT{F&N*TPY)Z`<jbR{Bpo~L~H5Fk~oTDINzMHyF1Az&!)y7
zmxr@HrhA6&N+EnJ_1v$|L=@n-Artgl0j5HP?4Mi6AQAk~H@qSV$qaVQJ1*lvYv{}a
z^#NHFBgAN^=B|N=zkk%HSrWkRTHb))IeE13)@$Nm78&t+^X2q&5h3*OtI(%Pim0h6
zwkV}l6KSR1|Mf$O1UJ%<-<5eh@+jcWwC~kI`;~4kaI%uY>$|C-&O>E%Wi`aA<&icr
z$zXq>t)vC+8*@hEfhx%7%uomZs1DK*b4EAgbU^11zTQxZh`PEYD{+lFC>8gGaEVJF
zG8cVqSE|*}jV8yYs%9Oedgi-J6EcL)fL)4ZCZWW}znYRxIw*Fj>oY0N1iYVAoB3sv
zkhc!IZ&{=^n*OZp>U;-)?fmI!jU5u=yHXxGtD=S2?%)r+nx%q!)=cY^t_Io?-kR_X
zBBPW3@{wJfW^h$!E8>We25N>IH=7QT5DiU94>yZBm>8;>uCQt#e&PA=Lt82+a9P~N
z<CQt=w+f_rQ$#|y;#`{Xn~KQB<rm|SjRhp=58n}BAfYWv0P)3~40<u*9TlEz0neo>
zTV{jRP`z{efIqV+n!x20&}UeHbJS22F+&yQ(|qhaw!w`)9VO#eJS?EFgG=?*IRYBZ
zSacZfphf)_tM<$+7Vz8Hc*>Tfgy4Do*4oZE=Ji0!Z70<n_Hdqm_wc;}a;D@yrhT$P
zx#{q7RdL%4^5i)0sf5a*`&sMP=+|gq<5P9^bq_Nzmb@yJE-r(LN}JuL2`pgL?$~t;
zGlhH46Y*0IB#=+Xb=lJy91vfA;MEHWQ}`s9*=uoF1j#*M&QNdQ29(r(X)}fjTQwzP
zBbEZ_YvK~+6gw~Ii2J=R{t6JtW5f3>ng`8uNUrEi^1?$o*1Lj-0V4a^onz>5D4DMz
zGU*T>wBKHCX)U2ZF@^XEl`tX!Z}slQBtEzsweRuIG80g9^e*Onwu5z6y;{jg<%5Hy
z8g-$1V^EzsX;EjfhDGNu9cwzv2cBwQ6vRi2;KTR8t6Obz7`}^?tzy9kKmC&Jx|xkY
zn&5UpBEJXI<}|LX;pKyY?HJcNQ$rB(_j}uLvY&F~>Yc@hQ@jw`&?;wp%>YOhZ-!i&
zzfhdU3ON#+c%i%5`qB5@{oeG!hvn3d?-cK@kHhSDc_Ho)`OyzeeUNaiaZvSJr|_0J
zGQG*+h3k8(GcvODV9b@eYIW=nrA}h+v7j<u2%*PhbZPa#S-GLlc4~+6k;AR=T_-O<
zc-pjIh%T6!UX5sEpaToR?@yg~c;TJFpOwKS9Uw#xzU=-<5BoMc(UJony#M>)gVq@x
zxXjAvk^Y<!Yz)N(tQz=$Et&PJ&#E>Q2NA1oUu1^M)-1!bhWv2t;rk(vxZPbpq?7!b
zzzQZ_0YU1+{7|Dgz@#Xo4g4-w1FpVi1KygHh2S&+*qfcU?@f&s%vN8rxw^~7(MPo$
zTgL>Uzvho!l9LwL`TC^_@^OMbIlh2pj}V9i{}9RA(FEL4(QuAdF4%LpT4vlq7+MqW
z2b(|Egq~nV9=}Fzu!_R%e-b1Dk2*V5w)`~VXE*Y0xWfZRu~W{qRia?=s&7P{s0kvP
z0)M)bcwuSt+^Y?GacGZexD&idhJN>zZ`POjfRB07EI3R8-WO>8Jkdvnu0NEh$BF!~
zIp}b8mR<@7dm@~$Dl%*hj|4d73qZ#U`H8Pi(!lQjvv^-N8Qzd?yg7&o!k@Bjru#ZF
zKp3?C_%D?V@s45pa()WINzQwINpiBF%VI)m%OJy?M_t@&9TE6CnR+KfOb*JGc{(df
z$RPS~KGP*d6lzAVo%fZH2dmj%tgl~?q567Fis>&gAP;_H-HTU%+R?&qhu6vQkLD$f
zzP|*-`#{fvjv~YdMm!4E*M#q6_qc#xl5k(Wp4r<54`r$1G1}KP;iGxubxR9rSW_C8
zQa!2!GVEDT%QrQlTX^uuKA~L?Zwyv%ol=IjCO5glFfEu?>K4AVA_Iv-3AVj{1UREM
z>GqUW8+<kj6=l0*;mf~+>Jx4%;LGoMM6N~~vY++*;3<=XVsZb2T?VR<e0>uCU!V?b
zH{8?1V&vgn*Z#@tTdMHtchS)RsxDk^XPs7ZR)EB>@k_I}h>-0)Ryd=e2bKYUIA`P)
z;p|X$dN`vR6g{(Ps20_SgAf0WDt}dkE^}<v%2W-u%`S<giyMFe885$*hlgK*8Lt&A
z)xh^(Vwf-95Qg=G`*sYK;K{{8CK65!UUm=*Ep?25hbxs#exU^OYKAKNGl-BQpHv!a
zW(-#%jmc>wWguMe<$L^26*@m*hu5r4U@VJ%E+JYOf**w?Fb%7~2@xejN1(tR>&x?6
z_msi9oNKzVkN^)bhWa|5-TIvrmAF`~3?AYE3-8Fv;9AOH>=*{HD8AHZbzK?o$|~fF
zTs(~T@v`Lg09fBjk4)a93}y6uE>=?t;LBSs*U3eN=)KJJ?vqNOV7a_ACLj-p;qy`*
zl?tg2Cx5OuDM7ENoc0h^7U-QygIGMMpqyts>{5w`-p@X#iNVsK8kO*yDS!(2ezVpq
zUlhTlvf0GPO9GC!XXWJiQbAr<-)WUa5yUwJzY_RF;ZClDBhiTp9$U)>F`^29ca82~
zr4s^4UFyXPWGd90Gk72&B@fr9IAf^>{E(OPf*egx1%*iugPPqOzg$c&q;KZ|aRb*J
zt!{v}pV0A<UlzEfa`)Bga=~cpC0u?Yz)AWOJs&t_z;9@^{X!Z$7)j6hCIi4_kF_iA
z9MYh6K_%*R9LsL+?*HdBM}hmY3oVX#NpNYB4&Y*A0&5$Q&>>3-cp24-R9cIJy}(*V
zu?Pd)Ui{a>a@Pbp8C2;u<3yoD(%(_Kln!dQ&eE@J8AI&ff^Wx1gyDkWh#Nki7J@pD
z`N|zIhW2YdC8G91&|hryIcJpy4%57FU#T>LUpq1<(xwE!CT@~dyqE@#xIFdU!?c?p
zAq}m-Y<}qWdX?yvMFUwhk8;;N4MEi}3O9b54{iz?1)l7tfk>R5U|hQa{OQHj#C!6B
zRe-5(kQOa;$=UsNRxp6lgYR^k&htQ~ZAGzMA1zQ?G#)-r)(1L@MR7_cH;k?dng*uP
z!5OJL=jhh;K%<rI4f@Rm6$+tV5h3(|cQVYSoX~?|GEE)hdrnYWV4aK)XMi-y!2<<D
zy5PCpNPlLQ1A0CD?tac?gwY;Cl98P*Xa$WOx}?GZX06YPYKEDh<n8n)?N>U$dnOAv
zSBwMtoq(n-5(^}WdD4_y=>P?(O!`~l;C_+6f_DikP<~u0y5F<gcLv&NUQrwjc3KbU
zli0zDrjyb8pf(WW66hp^aZscrNN+ie1DscW)SpQ$ND7Z#<OCdWPA`qT%IAdrz2>F4
z=d>UkIV9Jn<3MYtd-xHB8=f8`c81}!z${OzOqP`cf<I?3?7;uIZYJCJpC%kPcfsoJ
zae)7Ir4-)-yb#pJdF+d=CR7|zEEEXjgz4bzqmto#z++&*%D2nOW5dtGlw7&M<LUIm
z@kjhHUQIN6Rz`+>s!BdMJ#I)cYw!yHCjcMaG~-NN$x!g@P<GjSZctE3QG4tz1iJbx
zkvgJeVBP*HtD3+A_Z02<tjB~wfKFFTX+i^zW?kJ&XU7XkSMm;c28aUB-NAykY7Gda
z+vLr|^FjIDTE%~&;*eIEo%AAJ1H3+e`4u9>4>vyk+#H>h0NS$X>+HT7ATE5(fI~t6
z{D$p&PCu7|N30a#6lV>{I_%jvp(hAM=S7mnK1;*xGEO^}eHvg^!j<XlF9dIv+<Jr;
zWuS%8#3a{61A?(fjn8U@LDtRnYd@VFJlU(?pMORJzNl*~NC=2R!yt8iLqQ(g47ui8
zZ)(8I3PX>3iWqRD9&q^Mr~v&$L-UXx4LI9!MVLlZ0%ipm6DkrEVZZeYU0p#k$RE}2
zW^0jzRh8;sjy62ZE<#CsC>b_3dfI3Wq@i-}`JGdLlpwPDt#Qu+88`w<&wEJ9KxGBE
zGm;5FL#;@&Jg*6<owZr2Y_edzEx@gNTm?e(7Dd*@wBT6yL!R(Ivd|lTPs;9sDsYWi
zww)c(0`YXQ!r^an@K9S+?CvEZP@dQGbUf4sw{3dH!!z<=Z&_^Fa#9V7TP!FR1v=2%
zqcIu!UI8ApUMWeJRfiXUe8*0f=)znyubB*{2wsNAu%SwI$bi?K+0A<3f9>eG{(L;t
zUJ~`r_^l3U?Yc&Cv%B804*q@1R|&jYB*q75NswVnXi^k2gd6I$j5gBB5P3@LT*`BG
zz~#-|DsVD_!Wc>0#wKO>OY@JLNn0H>k<``eX~wW6{=|A!hX8j8j1O9z)!^``UZF#)
z2{;Sg<h-0pfbjBh=QaWn66nL?mp)S9McMraElmV?GLJu4U#9|3JHO@}I18X~?ZFT$
zMgW17R`yPM0@!fa*%{3M9PDx1<jEpH@z8-@K1n6GJxB<#GN*#8&Eof2Ai#m4Ty8dg
zMYx(DYIgWK6<R`$=CQOXgP?oUro-CqU7J<1O<z#q?ytqN10u?>lqvr9@mm>CsnZVZ
znxX<z=xo7|of6cHqg90<DVWf2^~znO!t7Umo10#ESe~xY6Y>{>^ug*>#R)2$EB$v?
z(_Il__nYj^_)iEp?nkPgYp24nRr!$y8wF?x{9_lm`%g|Ci3^?2q(ZDBtF@-0Jn(6}
zSYIdbfJ=>Gw(yZ%54tPb|342;+THZdZQ-Et{CnRU{8Tu6NzCczYZ)l6dnS_O%>vD?
zQ_{~ncYWGLr+R*OH+v4`o!*zh09DFUgwbGtL7ahx2a^;;aU3ET1=B)t&d2IzQGibi
zw8L^A#G&4UTV&zqKS}_5zzS_F1rpx$WIb*dg?zS=PO|D2MdEd+;^a#cm^rw{NbD1a
z3|cE)`7;}oYs4F$B)CjKyR-Q6#ovNZg${)a++3qfM!xMacQJ;Tchh|lHUhvA|JK(m
zdX>`fQ#0*Cu@MN3rcN`p@<HU|SYjQ=DrGvf<WSCvAv{*;)!FN^%e9&atLMtAls(0X
z8)_6o*p-CfTYes3HH&07Z(OCEoGkS(x@iFV4_;2YEOLQ?s7~0e$~DTK+mkb@OS`$v
zU~ts<!2!o!VLTzr>y+8*x1=p=eHc~>1x-C15Z7nkH3n}|yac~}7Qe3t@2U;?C0f|v
zL3ICBd5tYf%ql6efJ+YodS6+jUtopGaBo<Z{!6h{&y<df(1pe~4kt(<EU=lAaO#24
zHsz9&`0C3!9f)vVKHq$Y8IrC4Hl6?);4zCx4?Lm+XP@jVmi^5HrNL32jiI#A<|_R$
z;;lAJhn^Zti(>*CSxa^0RyqiZ+2^%js|`wtqUS?(nZU9U?#PKUz)OWaKCgPUfYCg^
zE?0mFZU{zumM1Yn$gjjMsr_2;F>hW-NQ?=*^e03Wc$i_1BKLuIR1?0MO{^cbWP+vl
zCA5(bSs><AJR$y+CNNY?xe&6LAWb;VX805v@Ms;q-t(IbImY<Va#m(Y6QJHgMmWfb
zS7ZI1PKNr#5l7P^W*B?(opFQ22|-K7J0?Uj{0{&C|Njh^cRZDU6vyqAbrA{Km&?8G
zu;+7(eiTKDWQ3HWl8}`&NlM5FWrU2#CXt?pQbr^z5>c5UviI-)dtTo^&N<(6&inHz
z5>Sb4Ji!5vO-1DDWch)3Ts^U`oeC7NPB+uwgz;su&^kjL5ST&?c>JkgpnLWtRf7u{
zB$izXegfdf{4|6nO9c)#K?>P^7qpby3D><5gye3%xtF~ZARolrX=HIjX`!~6fy8cL
zO=ftq5<`Kxt9`eF1$ZIt=3igG$HD-!gPu>VDIo5ZLpztx2b^hmiX>?d{49IB1>zLY
zda7sLUcnEKA8@{${2>a<S`_sIgJg)Z;rw&)1rA6H^BMM~V&Jt@6=#+}hL<M4H*Qu5
z08?3J1DYuTjoCWGS5J}Qgvw~ocE2D@2xNT|tds;-l0qQflnnNHgW}!0cSE||L)A-*
zQeYN3_FvzAGQ8>RaU1p&hDxK(aaKtguw7#jzwAl|lO^q@k$w@Vbym$BIw1>w7cd*?
zR5J9>l`*=xiGutE#jotya`4(@*KPMrGW_SD<C@Jb2IbOUJEk|}VTiL(@}?mL#{07@
zZ+sAk2UiypD9#E%^t}DZFNFg7{kwLVr|*M^{bAq2S`=YY;aq{>E-Jh$`uWY)ObW*B
zqWQzMl^~6k_Rk@K3ZD+J<``H=L(%@w^~fA$@JED|@wzmauXgqLctQrQ{Th88%|(L8
z*+D{#+cX$^$R5$?B@528c9K#~Dsa$re-hIVRp^VadwD8C4!Vo^YEQ<KfiqBRGkQo3
z<Od!Y@MOsY631MbK>w#FxJrG=O?8;$*V*=}!9(QZKGB+b3VgMWSX)xpgyRYm#a_({
zaI3Ok#}P+`RXg{g=?E>bFqFvxdOazT8DlQGRG7InU}iX{4WXHL>+V$%;HJ2twy6#k
zs;>kl-Z-NR7wW+J@m(cIjacR>=A;7SXGiYjVLb@8dH<t8LmB!se6)V$P(b-r=x<Rw
z1GvYz@zSYI8H#?VzdVMczzvs$q?~#L4l(b`VGt%l;hnbOkpvY;d!`;{aSve1YsU(w
zM}(l}dfN38B4iitWj-Zk2wmgRDe*)i?5jVo?t4QCim_8V>CX(oYxqm9^O!QojMk-=
zh$w=@d?8m9rx93t+@a}vDnoeN?~Tuq@{pb&TDNFp1Oe*zk4)7lf%&5Kf%AW5fL4N7
zFoYXHWPnf5)OP|nc`fE#w3h<AMqwtk6eA#9H@U9Ws|ah4&fX`~iGj;0m6s;*M(||y
zhSZOj3b3yOuaqk+0?p|=6<z*D(9s>s6Mh~KQrjh7C;J3|ulQ+^#C{|CUVJ*sAR-S^
zY2C37GQ98z)Qt0(j38Lf)qnhzEL4qpKYAF$4jO3&Eo)_lka0I`(9A{#w1{~eVVjIl
zQ#3B*dcqKTf97|cUy_1{f}fwRyk1AnI?%d4uL4vAIF8usN`hs}u{JBC1;pd%r<@OQ
z^nSjWxb!Pq94hM^iaOe+5bopGdM$|n6B7>w%~kdS*826b>E96qE8cC*8G*p=^)LD<
z-$g(<f^oK(`zxZ5Xgo@*HUPDa=mPcf-7vWP&6uz46Y_6%bGCm<ALRYHkL<1x1i3v=
zJVJaMkOvP==}@KhVIz0%hwUFYXjw`RpGc@h+>*qCcO3NKHFMF-TMd3_spK*Hak&-|
zIA&;C^F$ZUsEjS3UOezS^pfcI!FuHEEa!`-!#cpEx1Ugfae<Q2TfyMUkBEC!i0Er2
z9gw^mk$=^h1H#5HbzM~KKps{yA7KyHhSucR<dXl`V1W|VC}-Y-DA}mQd9`bSsoJ5A
zXO~&v=#oA649@^kE?>^nrl1APG9Gfb2bf^!wV91t_Anw-T2-+brU~XcId|i(GXj&D
zk=^atU&!Yhh1_2!G=MSUnyJnS2KeC6l~n97j@Y^!`=()~0X6&M6SSMQ5sW)e>*VMZ
z^6TWTl(kxQ`1tFQoTJtja&>`!-6LWa$zZr9%|KKKzQf+;J{ucI!Zv@svdlbU)iU~5
zB|{D7jXq4bb8R4=#0{J`&jKQe3?A^>qXt^CPP!2;>qw5CS8Wsf65^KHrS~FU71C}?
z1qH3FAtp^`{ixsy;v1iz+9{+8=ac1)4O`cclW}+K@2IUIF-LFl4J6S(dK(MT?^{E}
z2cEWdUfe*Gf98qRO3~wi1=V3<>xlk^3IE^kwvepWY!|OWDl|o2==}X?9idrN43|nU
zz~O$j!A1I=;7~no+^M&LxI~U6lwDwi;c)cC(a#jnc4~The$OVNAyPYE`h^L`vual2
z+$j*KZ{_DDzlGci7s|=7WPy?1{@))MDIi54FVRkKBL>X5PFa(z&{?4x%w|LeV<U=M
zZqE+V?o@nSD2p9#%4_L%M5ut;cm3SwbqqjcU~~(+&Ix8tO~bl<BzWkfCHJ_15r`cX
zU+QnsxhL{qzL-J+G<o{NQY8~42aL>pF5!XVE~le~kBGo4*LvyL5Hsu#cB)%t<A*Fv
zIHP@A86u*BsF8S9SYH|=9kIlLob3m#uUC{oZA??WG=>cn2021o$_3z0gQ-gKsuHyQ
zK{ezhIY2m>e5Xf42;Nv8*?lQO3F@T?`Zv2d;ja$VE`Hk$zYo{;x#N{!`Ncl*r{%k#
zIAUOTd8P=gnTI6cy9p3<;h^Gelm}iHFh5U>5e23{J)seC1o)hze#&Qq56%g!_4DM4
zL6O0?@>+NLd;P?O)9N_L_?|LpGa&)E#B=SIRs;xD=^$T=5P&9j)dNIjDF{|CY=EN#
zVBL3CyLMF&2w}RJNRTvG7QJ?6@+E*tvDy5GySsr;s_@O5AsH~W7I29yC%^;eZ(Q=4
zA|QI#dOOHL4wSksTsbaEzniv}1`-^iKzXYXojxlMCu8++zWGYvgNgJeZ|nt8(@^cp
zi3-4PG28Fyp$uG>l9D?(3AlG-mXD8~UsP3ei@q}vM)dysx^_?!0<9D{RYa6w)U<n3
zGnNGP+>Iico%FnuVjs7T5~0uZJiKBhgLd=yB!y1~CUZ3Yjg+gv{n9y64_68#narP7
zqVwKej;0u=OM&lK5!P9EDu@a#T+Mwc2TbMEBbVsBWBgi>;F3Ut>)i#X%Q^6XL@l__
zby4AW?Rs?Dj4CuI9zH}oqX1MX<%n~^G%%0&`+n6+9ds%)mP_6!!a=t<oWlkUa9PLk
z)xw(KLRAyVVpjrtFO8q;7OH?()nYIFp#@l5_ws-G%8(gs7d(7M6^{JvFZ^1s18q&G
zi`kFS=dQ*nX<lCyien~bPL%0^?ZMT9zYR(7g_fq^{+R~+sHjtZmH{MkA2(##BEdug
z{=i2O8t9%HZxb^HFwa!u^$byg1huEnUhkno5_eDcTRB7UKbbCHR;>cI+DvxuO33gp
z%I@jQSwpC>nSIq*r~+0^BZ`3yL=fLgWot_|f_dpQ0e4#!*tqqkq2?9=nu}b|zmPHp
z{#JqJz$y|jv*Ico1n}UeeLr;Px-s0_?nl_Z5MkV8|HZ;M85qq}Xq>4s2G1sw?8!p<
zKXV<p6?1qWXg8(2nD}4}_qVE)kfTa)X3p_+X{QK$|0QgHyxbT%{lE6+wkyKrTNMjF
zbUu83`FDf$rZLE>#V3X;DFA6YLOf266HZ5m-@K!43@o_y+C4t<U_JWaP43hVqU^;j
z6WwbBO$iMb<x6DYt!G%ohSwZ2p^)ek?_mTJhA&t(XQjbU<3Q=hp*F;I%{uVZf*~++
zEp7y=Nddo7s(JgPe)Lhw(Y*BlL-55vRgn;sfN9y9^aH-rXiv>^zwmVcV#%}H@}qQJ
zyCXHsF0hE!!+!*~YXE~UPK-E@2}9Ohn`#+@Ra7SaBc{s);5|UDekdjcztsbkO1L&q
zzMjXeM}!b?N-@!ayEwR6Kxvz-+eEh-%lNaD4Io*gSo+j4Uf7bnKfal;h5B3g%Hz!S
zp{(G($8mNpkls1z7T&al-e1P=`sAYrk%<$Ms4N@opEiB__SP24AZNQ$nW+o2{m0+f
zXEVX0p~?SnQ=2H2I9z!1n+`PBJ<d;O-9ZGuuG>zFZ=&HgmEKLFIzXJ_yddwrhG@3U
zvgN66p#4e%L{S%Qs7X|d3kX_7@K2n{7Y*0Z<?%0;OfR+IUjesiyucjdp(=Er&t?r}
z=&@=RVW7|X-%kAiQ$Vc0<0mGN8EM{~uAo))zS4^6vYjT3Dc^th#b*RbOG^-!s$M}0
z-J+hFywZS)>E9Fag}un7Q!f4j!YgRrmd|YYUJZ~7yLiqp?;{dBZ2pZUX&FuXEug=1
zOC1V*jJ;`Y&yc7{{{!o=j23$zyEFAy4NMN6RJ}Uz8f{XZ9a$GxMh)xL>kM7hpyrf_
zZC%JG^ka@YvkTucdg^}Z(AQp7c)f%dv$gC&nO0lJ1vHn@w`N9*VOFZ}zV)F|L+b#V
zG1Jt5MlPfJn@4Pv+G!Aab@RN{<S_cm-OYT5YXybnD@=KoG?)%JY9NmNLPJh+I|tJ1
zA{7S_#=5C6Wj{DT3m8NH*_LW=#I2$=A;iz0ov6?oWxwXPcM`QHMn8C*wuZJ#@}(Y~
zqJSrh`ToI*KWM3T)5D_vbu{9`VuxEW1rBkg9LlwtMWa@ORv1k;QQb_rL(4oA;EXBD
zt+_gfesVR)$0oK=s%Tye=Rq=TZ$7ip>7Pdj^Bu}!>vzx-iBEO+URQyn8=e<o{{ouN
z=!vtOV!(u(14CtN>38)^w3p2LMbz(UHg}r<6ZW9_T!Pv*5xiJ_M3d~7(OO%{Y<EXy
zjFpAy(K$0BFwT5ktK7AU+8ex%jA~}Vs;Yj{CX(rQnwwxLKe&eO{+mf)bz;M`o2O-`
z|0%(e5Boiit_`%Nz*2Kelmja;efJ8b?>_|{$4mU%LV2UvhMzHWVGFyjs=R+gfK=SA
zt|CbW?23b`KFdCCY+vEm3_leD%+?Ygv$-&0?++8J)i3g5&uh9~c;+j@)IAU#c|*_p
z0k{ta^J9ZK&I@iTitx?h<gBJP3#K?{Ua2*N!>p=5mYTg)0Hlv;P@|6(>vDi=``rXF
zhnWCtReJ^SOPqgbkjjn)$Y=Iq+`F+4UIPw6%nDFqWmh_SpA$<`jw!o6D2x>yx>Q_Q
zi-+rVehVwPyReMT)txJSd$2PfOSQW1;Ne{9c{!gY9t^A9D;~lihE+MZb4a@4;oYFC
zuD%{WmcHMl!_iIxds>-TV{sG@E!oB0`6)O|TJdvj>Q70Gmb1Sr`XnCA^Ni}{_6TC0
zl+PXcR?=8VOYh~Ja6AmEdE2y931Q)l0)6u>G8p?V#zT{z@o<dCy(u|R7&{>(ZgIjz
z4y#`5I&6n1fF(ZvlfCmEOm%))#+e_F*(HeBWqwnDn%uOO;0t@Pvdir6qx%)G2ETpJ
z<?<BadzC6-I71v`=ua2ZeoesqgN9iKiwHoCk*1Vw?!yjUmiHGZP{zK>tfZMOE5ZBf
zs|Jy%6c+YRqxoAN2|L6eAEyvbgv5}o#VG+9tmwb%HVgS=?0wmjLUDH$SR<|~Mf%HP
zBhzbfH@;9Xd5kC#bC?1?)b6+o<8m0DC1$C!fr>Gy+zED0q5{gzG-2<G$L`#-OHj?A
zVf-_i1~>s#$U4V2Upb_JDLq%u_jXprKKPIruhgo+nC(KcogD#7UM}%dT~ft3)CF1>
zVl{xL554lJQ3;#6npGHYqlU4{6!|VjYk`=!$@%}piP(-?{mm^uHS9LQgX~tQ1AgJ8
zvsy<;Sb#uQtK|VTth6X1<>og%h`sZNJJwDG3yUC0=(Vb1X_KW(@>~ck>3F|R#FMew
zfM+a;D>SV8!IX}1JOExaMlYs>j7^K)_B!1`#ZEFvuD8S(f}9jX!0Q<@M&J!OeAbDA
z-L9c2PI(&v^Hc$wVjmeh?e0|e>Np7#G)%5gAR2>s;j&%uMKX5V61Kjl5U{J3-Hp0$
zjNwDqzXD3J3MM=({(QAi9@`mBJXj%N0)abU%TqH+n3QWGW&D*i_E=)nmS$xFF-J)U
zyse1Xfj_x5)9=NwIki)lG;K}5e}D4dsdq})7{7xtTZ$0Y+i|HPUd;ra=S+tD;Ur*>
zI+7w{^|`Twxqpv5n>PjxON|SYWCiTvj^+oR5e97XeIUo_cw^AbK32+YERSj2d^W^B
zFpZMi$B*^M8bd;1FUikR7E=tkedBp`H4@d36LTcT2uA+QSX4PnW3vZuw1vH%M%sdp
zl^97Ifw$JIzsA}=tS{=9L%Yo?a{lvd|7H@M%SehE&Rz_=Y2>z}N%sK{<tEnZ`3-?<
z)i+vxS_Hdr+3GrfIurCU=3E(y1h5P)xOteqFDi<wG5&!pAeg{^yORUpU<4mu<Qp93
z!nSqza26{>jSxe&gb}D|T=AY{;KimU&Kb#@vOzX~<<Jwn0nB~-m=n&-iOI0PuayXA
zgZd+j*`=Tlw@a<X&R%1|{)?`h*$82S%j<!GtY`Fq>uBJ=!E+4Q&^ylU+s14V(A@Q8
zUz{!sN>|`RuC1YB-nsXgW?11#U@!i3iw^ABJ$JTg<{xUiB$_lD!3vYI;7H@rf$j43
z^YJoMsOJ2<kBuxVFqAjDP8`t&ZHK-w(Gx$=h@ZK7?;BYlF#~m*%b;_4<+tvFT{C)5
z^RC&Y02bKYxc24UGF_Llwymq|E<t*J#-w-Xvw&mNN!A%_O;AikaKl@jNa5ay0tN{d
zFl?+dWv|o#lhFw7V*O#HpWmF5a}NuMercYo6W0LVmCf#ThcRUA#li}K$^!q{$O*RI
zQwLwg1drc~e~@=Szc2}TvVb$^Ew1GaHF!?Z<f)69LqZQ?H$>jEfD9p1LcmuI8Xx+1
zT-^MJsFb;%GY3`(weC5xHLD7uxcl8ivn7NtWuvq32P@oT`guM5k}BA_>cq5PTR|@5
z^*U;0u>lTqES+4W!I)rHrAN*ha#TqF-1dETc<mF>)DudBtG-PcUM(Al-kI;>s!uqe
zEXvi#orea!l0S6O`7NX_YO+VClM`MgR=ehAP@(7)>G&@k1Eg>l-z%r>g2?rR&X-zL
zAm`W<np7E~KyLZr)wkSWy-UP4xrYMvkGvaaU73Ji)M>jifEV1nG$-N%DB!-C#haSW
z4C8GiH+Kp@=p<NJ_wA#=h@G1|`y30f8)lQW3~=zV*8I)U$7Ikg>72E*WrLp|W-hh3
z3&0Q~wGP`<frS{sq?#UfD3iU$P*orZjt_R^TD??Y>WtevyUUzlMd&Sm$-5g&E4AA$
z&yqmnF{k!f;w~_B2Yf)RF!XiSQ%6Hc;9@tlSC)$hjySx@9ai51N<Eta55-6jvvBux
zCl4QlnrmDw-x8(!i(UnhPefRM$gAO!$`9|U!PlNmiGj$G=YE%Ci14!Glbu)#4lF!T
z5z@8<V4ta9hdqhF&a)a*%_|6L)$)5A#ifATR5_OEBoT;t9;ZHB5Q3!ljBd4urJ+$Q
zAgJd85iU-=Y=1Sn8#o&zN>~zPAOteyuoNOJs_K!tgGIpLf}^_5Us-r~xL-8>4-x+A
z`zy(iM8Uv*kK0K{c^KsgKk&efu3PYU!lA9bkmxp9Q2GrI2GMcnOxRUG`%25PJAcIC
za*;Oo&9jQIW~fff8Bl?*_vI$6SN4J88NcYi+XRq1JHOC0N(P_6_U7tnDM<P}c&YA*
zGNg6w%5_el02W=;-c%wDkKDCvahfD}Fvl32dz=dYl?4>x24#S+c=+YPCKWJXJLLLN
zmj>lq@{f1~<Uml=+0$2s0+(DYqScI5L4%xvIa<g=Kz_=IQ3nMyOhdYFdZ~dIEG`z^
z#lzCeCw>p<zBE<+1%b0p9lpIMKCGhalsp*CFCV0W#(2JaEKw6I&4TtR|51buPNRa)
zBpL*5vv#gmYk}bTU8*CjO2D4U{hu*ik7DK{9*mAU;53(dW0Or8s3NB%?dka$>Nucy
z9zEbcJsX3JDZ`Rj$ytsWDmeSf9O<dohrH9{X9AxP;m7k21$nMia2&z)wp>JDZag-W
zMUn)K-4{<kNv7*j4fAVbHvvl6wpm?0NwDeqZsHJ?44UFbb%%8gAp^(D{wk0J{&NX&
zE3HI`je8`{IY^JAPJ>paBzR)m;`>xY35b>r9zv&#;Dzic-*^uZ_)h-T+Cx%+ND&Rm
z#Scbs=nUuUS9rP(%`*#)Q;>t9t;woIPGcBjJKp4GpbP=ER$;O-(r`>SDNIY*7<`kL
zzb4Ak`@qv_A#+|Fo&~B#MbWv*eHKd#A5w&Ej(=KeGr|z=iA9Rwj6wgji<V=c0$h|a
z=Y2bg10jQ=<l*l|Fx$?XnX)bq^5!)@vQu2pC}W>+I^GBtFQjV4dC9>XSyn=e#thd-
z2TmyJ8G$R83d7=e8L+!nVrA*Dh75H`u$}8O1j2rW%qxeaf%YX@lx#SIyvFmE4PP(>
ziS~O}k48y?P{$QP5ve}pOjKE5#U{XjO_l$rC*lynbJU4-I2+xbo|ZdJ=a;;){N9*$
zQTSEqmBCQhi#D+OAMO(YFeC3@i&7SWpKDny)8RkSm*)TC#w`#)OG5|ps)Ru95Ow64
z{WzNDrdDvw%K*%!-?i;r7JykdX>LcuDYWS(no3U42i@}wZ*)%bLzIhsr*`@uRNZ$(
zO}Rl22<j5e`Aggoc4dcT(E10pICGFaWl0ynfQRMX15U7GRCw;h_XmBluhr@SSr<w=
zO%KIhV}o#peqD|HNz{=<5*ojx1IhZ%Q_Bs^kd>L8Mra*J+gno(Ua8WC%6HGsBF7n_
zT`wo=dFm+Y{t1&_WYPwjmdD7abKA(n^Txt~@C%*$S8+tlMhk8${~JutTSw0OlOjbv
z4Ws4E#A}&_ny{5*ad*sh1?h%-tGwsmQC`(84--yJ;2~Ertwby$+L9%=yWV|8ovjL9
zVV)Wgp&s|=jle%7%**=l2ul}g8WA7&y+a+08uVV5O#VfRi|jHgCqAJ@y3Wm~bk!k^
z`CFT-`84A2v$&6i`X1$F(D0Rgp$1djJHp#qlL)W*#Ll0#SE$UKY2bpm8i<xu^*qfS
zLrVBW1-?sXpyv#vR}11)>GNH|wiNUmvFr8>EsT7ESmsYu5_naiy7MfjW!X=}TRTCh
zO1cs$=ni^l@qh-n{mwJqFoLW_2Bq(Dt49_yMz)vf{7RV}a=W{C7-{6X`)zpnBVuBL
z)bYeo!AX{@L)3c+N$kb#Kj7Goi0++n3lO71Eb00S7ui7sZcOi!w(dk83FVW-b14w$
zu2C9b^c}e-CBv%d-Gc~aOk<<!6!`HY>FZj<0AjapltPZ}L)Z!IxX@@as26Y-IXoRe
zF7K;<di?DGf+R_i6<@2sK@P2b4Ic*(1`%4>IKvO*!A74-_5=wIo#Z$)h<rzqQvXX+
zqK+UxGp$3~B}ni{?dtGHhCzg<x+P6v`6uEVl#m=|M}#MR;_s)}hmcNhvDCBOzmcVH
z9)uT3%8)*~&ujGP4`gVXqA2oZ47q(&i$iiq33zmt59<32BR9H}7SrY@5PcKyZB|r*
z!Dx$T;534Kv6}i^s{03tP9h+&fdo(#X6Kwa{}buBitsvC&LFNrMUt*<iqI3i&!Qsz
z7jl|0g%U}dLwH9Am=qKgfsO3t5V8In=_u3X8qb?Yd|NGUcZVs!eV_7)fzUA|e6_+p
z+;9OIGt0i>Jc)<P&2>Ms$rH%^i)c~^!xD0(tTD0S2p$gFn6<d@Pa$rGZ2Edr%Lqof
z<GTG;9*)=>_wALRM&bub2A?snA)XXTp}kaj@W>XQ^YxiUS~Yq^7_B!D!QtA!a(Qy_
z$gY~$8#;%ujb!hq4QwF}6Q*x9<>ctTU_JHt*gW$1{e!C=)(lWPIPlW{xhyE28l2+u
zT|kPN9z>G9Gs1b}A8~?2S*RKmBUdOcArEA|4P&C1VcBo?rB$^I`0#llXLhY1v`=Bd
z+UHq;a{c%E?SnF4`}a_4wd5LNq*(KzGl(57UkWxC`y~w}pYAa?cy1t?_sK0+-g1KR
zwHM@Px1^zBF~E`T>k$WTTv3?;H=MiVFx^0qhOWOaE^az8z#FR9Mmz%_<ZQ+k9PgKc
zwm1fl=y67P``Bj1niU7viiM>-9!bHp?(FgF$;=QpAsw<*DggJspBd1%m4eJ)=A>@{
ztnfK|?dacoLNLpboOA{+1xze=T-ffi175uH3x%$K-kG6qKe9-H@LE0ZyH-vZb$kOI
zt$X0yE9-)D<C2hhrF}xqoE!e}Zqk<Y#i0L53gPb`NvPKek9f$%2SVk;H(&pefV;c%
zdFFVfppMO7`3pM^ip`b|g<g<?r~DF>Tq7yS`*-W}?h*mmwD9wN#3BRdzwrhCNsxlB
z`NZL^8$uA$NEA4O%7V_v>+7Dp(r_-8VbI~4FrB9^H=m`-gWK+@?$$DC=+hi4ZOYvP
z)2F;Xv8OA5^WLAk&`23L{Ioa9mq`r%2LJ&7{}h*ZJk|df$FIFdw(RZRT-<95_gtey
zMw60J5}}fcLRpbSBBO8FMM}~TvOb3>3PmYN8b(71kr94=f4<*;oX7k9c${;d&)2OJ
zxBLZ~$Z*fTb&@Mj1#0#_TKIBN4jvke+WWF;fn3=da?rdg-0EDo+o`SyF$MqlPP=P^
z&dHH=IXBcH(|ymg;anxy+RSlq$Xgc#CqL*uF4Y9;F!9P&TLp~G(i$YL(ST7|mOmi9
z4(u<H_NR8MLZC_APf9x-no<-(_2;RO(D(Uu&^dLO>)Q7+=a(LMymt(GTcQi}zZ=p?
z8#SS%wznyILLaIDL+@RtL+6Z(4wZ)jW`+;O9<~_3cK3x__I3J@prH|R?a4a0mG1WM
zq=z9ikX;SB<cvV<MdGK@gH$-Szf~r?#1Iz9?>SD~HG!#UY-{|b4W!)sROxg>;L1_H
z^wPr&3`TX%2g&P#04Yk#T+9&IOWV48r5WJ%B6#M_4P6+WKIAr`WB{)3rSgWq0@y7i
zQr@u8fVq8Cp`l(6bZ+#U@u*nB&)S_QernU8Y`^r3_#_QXf;rEKF|1&;hK=u>1`SkC
zX_tFu>%hCZvdD0XHB<~M>?{1C3(>j!4U7F0sBw>xVC}bt2-l3Kf+4!lJaFo3$|p6*
z*jv>(;AjKq`d|L~oUa3wTqFDCzbL{B#tARwSR0^;KPsqQqQcqHPme|EQZO33C4S3k
z8wft}C_h9*3mkQ;jwEynLXu27i>r+d)URXn`u3X)C;q61oIJJ6P%zwdNqN{BC?0j?
z9;F)4>b0pLY^am*MmL++(AOG@@0w*fZBqm3?##RZ#VNwV=1qTmj}>$mGS52CDTA}a
zk*b*YEO>S(Nco|$6@1Jrtd6>=2>!co6n!Y<#>!ZZrGhL=xY@fhoBCE3aMQ-u{PzU#
zu25_2iN8!pl#t4OmMI1M&aEiT-4MpbBVqFo-I#DKFUUdbsu(0aTafwiVGXvQpZ}8l
z6d+3G+Z^XNVK}E#b=@OJ1XGUh%g{0b@J+1@rIYwTF@D!E6HZYa+{GC&=gR<{9fRj9
zpR+?_e~D+ewkV1;z7p&?WB~`J{gv{!E;IO^U-tG`CyML&R{qn8H3zQ;jTLs}KMan)
ziMxSc6vu<gif4<>;PF<GkCFl-jBBq+!SMqkc-#N?r@43Q;h%z>C++4_#@7|Q(}(Yf
z;OC`J!yMx4;bn?{paO3<A>WoHJak$F`FQLVSlvxw_e$|QiuMR$5L?hU=_-Q#DLS5$
ztNqEzJhJq8<u@^zZv9HdQUoX6>U|e^OrY-T$>ZC%%@S>&%*Fc5MDWrD^|Zi4#&Crz
z?pK%kBEiGiUz=<%f-A`^<`un0koDJGG3w$9A#jFYh$lz{QynH1_SqYOjebRBRwoNO
z2tQg%FBL)l`*%U5#Sm2HCa4+@*wAdl>w|JDBA6%VzT9B5I!{~XKh2%uKww5!I0T4d
z7=L_-Scd_GFwfN;rg9-6zwb%$Z&74*@Ai>$Gk^yMv2QoO=EjyT)rgc7G3?qPk@|Xd
zj<s&QJ=J`a7hR+@qP%RyF<E@<(cTOC;J@_6C`ynYb@tXh36POMy#$?w-&B2I{L~*T
zzbk;nJJ^nqcqB1%V646IogU1Q=3a`r2;sEUWKh5wDU=zg*3>w!2N(V=?`Mk_#_oWc
zYk%~mF=OJ1>N!h2*v_u0{KRh!?l@UH*n4a(3R6c2H+DU!zwuEsdxr>eh9+w;J7q9|
z!P}wtk`59#M^76$iehZg^ZN$Ya@ZeUGWhU19WKQ6Y!urrhJwP!RWJ6)<3t=uH!Fq?
zS3AVl$NP!nS>EF3<DiJzDw#9ofpl=Ky({q`NdjN6Mmkefl`xUNG4b0zI&2&#7SA<G
zBIU^K;xD4gC|>(B&inu!M81DGRLdoeZ#NxqmlsmO_S)L!mQXqzy;Rp#?YS1;>K-|f
zC8mmh#zzKkT%m*N2VbWvZ8Esm(z)oOvKq#A(aLzA)8TW7fTW;}9CGXrxzS*#j<0IV
zr^y0(5ZN53>)Iuc^ItsUHaKdaZn%Xr)msnZNBCqj3>9&4eyk+ZM-#orEsZrh^gyoR
z%13)XCG0MhI<)sB8S9)aIoUVs!?KFAM&z&(x}N&aBQ2VO;YYn&{XXkMnW;e7$tTJv
zeCYR9r|@;?W9lMMm}mf-S~*XOURObV$!TjYPc7WfpB^4%X9$m|7d)z?RgrV};?FcS
zD)Iue$wa{j47o-W-S(*AY^%;$|7TPj_2G5j#AOU0bBEtW>8N8m`vb*kGi`j&y>N90
z$pn5K2-0%+tByO9iW~;dXye7|r#f<6rl3F@7X7bW0}q~&8LW-h#_9XsLcx;jfuY7s
z6Wy+fHE+4&9h|iBRM$b34O(XKM3G~C;Ac(rOs&^q^iWYX{Jdia!yKN)4G+dSlW~Ms
z%OPHpily&jcq{EKV1?)GrMvlLWV!ATO-O3t-y0WtLN+m=HG{UPw}Xt7oW1*9`Y7na
zap~+1X#k@>u4^4VWUTTfwT2!bW9<GR_1Y+atw~D;d#cDdeuQPXqD2FP^KP^p?FINP
zd9y4ic=bM0x+s!O9nbKL^!+E#guceOP6ci<Ue=mR3(!)<@6Qc3@@!>-a8j&Dc9<r<
z=bEH?I4EQJ`-s#X!AvmedZ#MYp@C}h!HF2Gh_?u;cSj@>w5GmY|Bp=r)1ovX!$}UM
zzu7BzhcjVU<n4c`td8|ASC*znr7_0XJt*k_6Es_*M3QvWaPV2yY*?EF4#|3>j1?1H
zZJxPG>!@Plh}*fcDN(FXt1OffWx^Zt4tkKf3YJOFO20d_2Fc3e!Pi#*MY<-Tuyw66
zR&95oj)e*0{Zl;B<rx5v^*23`5K=<^sY`wL8+q}_(0sh<W`HI)vxPKnMcm?O=5_fN
z7gh$%2n;PUfYWUDn539I=9I+@pV#ETJ!Tz&d9Dn2@p8Y-J}p@+_xk<Jkj{qcVY@G?
z+_wOQ9~~#HJ=Wr$H@1t*)hx)OY0nwPWdTR}ugLzoBZZn`UWX^{l8`sIQ{CF#9GZ*t
zcc-qEL_X_-WB!~Zbn4xk)cVj2hGeo8GfKo!uCe#Gz0V4v*>|^`h2ISN3Og$cT*NS(
zXC!pOX@yXbW60e(upVq(f9Sl>5XH=&8}12LuMo19MCi6=QwXNGINg<6-LvJpPYv0S
zaEiM9wY!=rFl0+clgMk(eAi;o(nk_f_U^M0Pc#8(5z`I6yMz%5^FEne7X0fbRaHJ^
z3`cEunyNYqp>(v^^-a;N7~-@>V~3|P7^jGgr6~)d@JS(BRV*8(yN{=<zA}PFo0^O$
zssKuu9resDWXJjT`W_=2BiJQ%{Mzn7ejGV(V6E2AflXD1lZzV+q2_fZ-0tVY+<WHi
zmO5M*Y33E1V7AJOr!!|%Blu9G)8S11HE!fCIuP}@!2qly%jX~2^5L(#GJ2vCFFs7E
z=@;H$00P%f<X-?jOmcY~`>K%-e_x*LpY76zNy(K2seODX=XzcL@o52+e^)cxwND>(
zdy7s=-{Hfjuav+3+9`xEP%qp)rw6<RM$wsa{Ak)>lko7SFsf`wZ`VoJgP){)(%>V0
z)PHYX@~~nJI?bDoP!05;BTw5R`?vspjoul2|FsB?3fkUZ+fRp>OIu$Q?-E4H<f7an
zhZvqt_j|nMJRQugXIE2vgiyBO8u4?pIBxmTlVEO6hs&)_4$tg`@%Qy(r5|reph2K{
z`mQ+|xQ*;Atez7_&d~>96nQBmTjp%kucblQ+PmyskJsS+{1+7QQfa(fbcAv=o(5a|
z*>f(Wh@fQyUn6dj!S3Z^-WR)RP$|@Abu>&AU5>WDloOT1>f2*t5+*dLCMtZ_go~l2
zqbsdvLLOxd8!MQ~G-&@%-e*2l9J{C7)g+HAB1?KJ*KSD~cu#7t+#)29%zP+4cUlS8
z9<Itxkfwp@id|76yA)P_Ey<P7P)6CJS$Q!E4YCh7Q2V^3k$zU)zM@(MFW3c~@UWvn
zg{sy4>^Ez1`^61wyuYa;7q>zE=WrTuJ__Cv?<tG1T-7C}3hF4?oE4yoG|;$xy5TEH
z9wTJJ?9<&f(8GPawOWb}^30%Hr>Ycitr4f`Y_2Aj$Y*|6IY)=YL#H-Yqauzv&u^L^
zAmh=3<V~IYdN9g*<AC^GC2TJhs?n2Lhb>7BA>VK7!P{Gn&&3LrF`>6ClWMJn17$4k
zcB_4|ukj9N=v5Uw;zwQacBA4}^Xhw>^$ftoDcV0MT@|M()LnabXyf`d!Vhxf3_;Ut
zD7qj?4gKmj=KR*wL0To>H&I0+;LvJ%AQ7pKKA#W$3u@OvP2n>?VvLO;x_B^Yi?0S|
zU;4L4T}Bt*zdf~(<!u7&8|~;Gpo!9NSm#@{busGb?6#I{Q;=*P&!1%{<B|U;V%y|&
zQT_L`2UY{?;jLmvXhk_0?<KNEa<=NA(Pz$9T_tm<bFmk7UQa>cr1p#zRvly!Z6i9}
zSNSsOQ~9Hif^LbSWUF6P3=xEep$iQ7{I}i2<tqgT<CgLvK?`X)S2yNt0buog@%ixV
zDsS#F+$f(YXqtZK=bBCcLFKKi8$VL;euAh__CHN5KEb8QVa$Z@ZzI$9Wl}KfSDxSS
zxH|UM&G}CyF+uwKnaE~k3bMaHCcytx6{VkP(QIBYVXK3{y^*tITx-U?u_#R$Kj^rU
z0;X1Zq~MU3fttAg)IHO?`xTL6VT)=zt0gGxktnX{(?EW!zed6tvgjo7tEp^>31`fH
z8&37ABV)_E?t}SK_@~|3lx>&^4?=In9&c2`@LIv5XG^Pl^!ui4!&)XJ%wAwQcU2Yl
ztn`^>ug=qP+N|F17$yuaZT{utuY&A}oiPU<3E=!$?czZTCS-^*U!)l-qiO~GdECN{
zLDDDKZcYL?nAqmVuq$CvsDaMiJa$y!J@z;w2jF<_Wmnt#3dqX>D_4wJur4u|Nmv8?
zmGzD|b4U(9m`BtYu`Lk?4PMU?T@1)Lpf^`-C4-wqLTl@~=LjDjmN!o%7;yJ`fW=i~
zX_V{@-ac0|L*%pFy4bSY0=na)O^!K9;<2Y@;*d2>$o9AvhUJ-qw784M!9;QNv1?e)
zvz{V2k2(?>BWBQ}z^zd5Qxw@>eBk?0I7zr9kk?k~n8Ad3^6rDH9>45#F2*Tik~pZf
zp!zIgJp`6q*y$s)2Dy3T<{z+55qmB*zG&$%1rTrF=-VTNdH;16-t3to?&&}3|D$XQ
zPc>*WN;Lwgy@{i8`@d=8_T4`>!Xiw7DLij7_Jt2`eF|tZ@|z(nH^;E~_ZdT>{o+2q
zO}uFDn7a18z+YnDWpHjYGlsM=g|ob4+{hcy6nScBj-Z_BjL5of1lyxCkJ_|xVTFyH
zC=M?Wg1R%WUJ4q4?L6sXK_4e3nfYf12rLoD%&z?xc*YP|K6CDVEysyRb!%97cdZcG
z*Xu<OP8mRxN9p|+DIC~2m+|z&APH@Dn!arEH-L#i(v>Gv4ph;z?Vr+O#pd6)s>8nN
z12dcCX+6V^rgfK;GZNVFpvv>{3_pEnGphQkHN=i|dR!mx96Kg+T1U!{>p{)&!jOv9
zvpLCTEB9$mG&|m-pn7sOFKE5t3#4(NkgnO~Jn2=gCA^=m<J5!4l-y<WWDacK_w9=Q
zD;^XZx#Z7zl@5JZmInj*IMKH$J?YqWK76xn4XD%Ua3%KUf2pOMSaIgUDcei|yfmqN
z%l;(|c-PxLyK;yN(Um;-u2cvcSuF40J4%Bq=K_8aTevYQOroQ9S{RQgnRQ)T-P<h*
zK5S{OJm}iWm9kA;1Qled&3m8e!cYCFyMr;jm|y$eEB1&eR!LRl`G)Jl9iiGcon3s`
z)w<n9y-N)5%Ri;78R~-A#RI`*8w9ZE&pA&S2MK)W>FDb8TL*d*!}p603gWjjX-n&e
zB~k6;JwEbT9Y|U1_we2>jPs6<DbClVG3l!Q?p<UZs4Wzc{;+wKYnl3ImxE;Ra`D+a
zd0({Qew^FsSvL`^J~J{<<tv9DYdnaRyV^k09II)J5k;A(UgMl71q^1Dr?y_!hQoA=
z*EUUJsB<AbL}x$|XB1ECT}ji17WEn1h}9gZYbnZ+D4>j7p}VKOSL^V<87gO_NFphD
z(39O!1^@2Jmkar+4Qb>T@y7D2p6b+|(wM7?JmVXS4%z8|YRvoQme#dcbE$sTVp$EX
zSMJ;}=+=R?asgSNFUn$y(k@Y|zXm?<V*IyYsS6bU_PK>4@>nAGr^xz~CO*yKUB6JF
z3lark$$<u|-dvu_T)T^ciZ7onnJ{UPFZNR8p@kCWVBy2*u61Zq@iFJ|k5xWa$F^8*
zRmNXy!~AYoQc;%d`+;_k4v*|B3MLP!pu^9e@z6qTOfQ<eJeZ*e->z!f4PI2mI5X)Q
zy>B{rPA;=?&ozDcxQE?7<h~jzXu0|1#OUIkw=+i!&;Yyyv+|9*)bY~x4yB2|x;S1k
zD%Hkn1Xrz!QonuIz|wuYl&3b+kkii-r&m3Y+se~4a!M0-{2T9A4X5Erm;Y2hcALPO
z3%feqzmd^?eetuL2pY~c?YuLveLZ9x>)(DFDd^~<ERelghewj`n)=ZU%3m38Yz|q6
zw$(f&`R}?|$1~C>=xqV7^;bmw*|c!^>dj_9M_ml3j_&dAW58&_`LljrT9`t0*wwwt
zwfND-Lps^3{vXJtHnGYr31K_(T|O$xzxb*uY{G<;d*v!GPHCaRAB*RbPbpZx$T%)b
zFoD^2tKbn$3uAa^1x0N%@t^HZD4|$_dUs}R#Qk+hE`Qe_k*kIQQRa4@rz~M}!sSrX
zKMI~V=@zm4p^S+?HB|g=TLM}A#5Ohw3Thb_jGkYwh)X=q>3bS1LC}Na!y67VUgO;0
zt-DnQg?6&*$y8awT#xgQFWnmWqm&V2bXEetk0@P<$g%{M@$)~7<J9r(ocvyHH4${E
zEb~~{X9@WYbvD9ktM3?giaL3YAITpE6n4s4f^&>h+3p$@yyg?<AKA%)+#@#4_RpE%
z_4USd&}L=ao^(4<P=SQ6nuLUR9%90bf-ry27e(A`k@<5=|180+ZrE^+hY5pUWG7`v
z3i#)Jti0EaapFt>^oAAy#7Db5)N_%=A}wJzk1t;dI>B0LZUn$AKb}4KQW^ylCib5Y
zenV`d+}rm13Iing9uylKk;LZ@KX=4L))RpjiWe%IEns|cLG_HWIFjPR6<sc;GVIpc
zn8Zz+LswjRKo(ULJ6?TMi*>1HgdXclj8->?_7V?&MW<EIHm9v^3`fRZ(!{d2hZ!gy
zW#%3;5yDxi6CdI?BEzj}us`kEdhlwX<eaAP<MLFfL7&KDMnF$8({#WT+)8VnO&sFE
zIgW<02>TKS?-jcy4|P)r-S#Fqd4&_}9=+P|A@(xS$*+<&ddvjKBlqSr``A%6L}FLV
zST%9Sm)ckN)EEM%!ftRZu%d)z%Jkm!XGAP_FY8TtWAHu`mRIk(%Juz?f_rPb2y^F{
z{P1ui_^i<D>pQqYBx)Vr+5h_;@mxA0m;a+7n7jP@Di*aw@On-sSM3-eY&R}yXj`r3
zofN?Z$1{tBelmBP+u^T-6nn(OsxkvGs+*fS+cQtxHkE&KniwW(lRG2M${GN-L1n_n
z({sdk-g<{aazBWV!97LCQuKk~Y|*m}`b%gY$Zrij|BJ}w=vMRN)CbEae2V*vXNg^7
zrTN?0eiOpMSZEuq2RWk#2kO?&5|rMnv-Rzhgx({KjVmj3FcDGjPiUPX?Ea<RYQH{B
z@Ex(sKNUlVMK!PVr=>GQmT`|+&xIMHCfhQpgqsc<ObR9_jWdMl(e9+H34aL_qS-7e
zjRvfDRAyy3X9*3zw{y(gdBQ8Xc*~pu4P@R9#h09%C2l7dTW;=JBra}@65zkD3)(z9
z&!Z&&5*MN!z0%Z|iIAu(#Wgm%pmjXLXyVIX!ngluYvC3W7K>{h5~|aIwy)j+-S6fI
z+J;%)Q^hRkqqdUucUl`hrE`sE&Ce6?@8L?L7#lt;vb3_((*})?PuYxZ7m4qY7m4Ck
zPoubsve3e)z-x3Wk>2u;IP$4q=A0cTe&-i19%|KsqNuYUl7g2BISa0^B`Iz^wR8Ma
zxq=p?6wNyLkxA$p<96w*ATQD|*m3I2ItX~N`*xf@3;OQgTj;FIk8NUZdaB<ja5yf|
z(RU9k4hW4l7e%k;!lr^(eXbNxcspz@b)60CQcE{A#R{Xv9=?>0H)Nowa<Yu@a-eJ^
zhyB69HCVs1gS+3245nxA7<y%LqLusj{ayP+ac6V2nD~Sy9KUdz*VUFA|CN~(FxbTL
z<*(<z8d5ZYp4d(qP~pXIy-U6CTP3h^j4$4cp$XlNTg@0+{HV*aWoqn^6n4CES8HF<
zfb(baMwa#qqR-}?&PE+;vEjf&%DUGY@arb=bjVK_|D10zby_2bkGsx~^VVrV^Su^Z
z<JvWN!=lhK>8t{lWk2!suh)QCP13dl>qJpJ@w<C~m=Z?FQQM#OX+V-jO#QZ6F`SRw
zHdGa<jOWjF_EV)ap}Ilk_47ap9RIabX*;_r*05CBT7+rBK!W-GeM~6~ObPODDo{gK
zRX+h^PBPGGEeuc7wHQ$zeXe+?1_~N@OUyQsq07+NC&5(~C#o({V-(5grDvn@^&tiF
zG)s*CUX#a%SEi;9EK;!K&(#}mzpjI*=4HySXhlraT`!yeMGL?3zbpE_g9<i&AM(~b
zQ^H$yej9eZ(8hJD+3!WfbfDp#2iFZ56+GzjFh<Qq7p)wpd;3#$VcB7i$7qBqre41D
zU%dql^EN*4WNBITtM3C+qTkdI-RbMo#OP@GWHDx0RS%d_ra`PbG;rPLg0{mi>A2HZ
zzx?HWeTaBxcM$%cciz-+3;O8cEv{e1I}aKH8SMgpDN-;nG3rIeb3F`j=NW#r!5B)5
zOAhxOT89I<y$RcA^l&eGA-|ucDI}PUnLp0fLcdd8U+X{U;p^hW!~dMkK<Jx%@`FMu
zPJQ^W_i~6H>Q3`Lv)gY0?>4<Y@b<Vi{;+>MDcVHGcJAQeCk6mk%RX&$+&Y+1+rI5z
z0}Z`Te>OCyFrhNO^h?}M9dylCVwXLpi;v`1xT85OVIX|F>2?<#bp9Dj%j%|L>j``L
zfF?^2F;h!(TCF2yA2GIj?`n?RJ+|Shixrsdz7;=kP#b%0niiy2s-tOYfTwtq6`a^>
z95xY2MO&%CUFYVM@pH}O)f|#FxO+E_m2A;MAyMg}Ct337+VFHGPs|#2-_T8a{(ZIX
zhR5l%`I0C+QkCDyVhxkm%O1UVCS$73%yDIl)f{uwdMu*D3S#1Y=1np+@NjOh52q3r
z-s-)PGkDqx=uJ&`wzQ~Wt@~{FmZAk>tFyq5!_rn@Bj9+c>xT-8tS#m_?lDA6+|+N-
zDYgXL1D+04L1pB>Ir}DPv5jH=#yu;XYzfDPEm}6Ndcbq<OmbY?C_`;)a#PJsCR`pb
zpyvFRMQg^N=%Z_98Fr*eb$8X(ylhvuB{V}CjaEi#PRajc?D{;W{&SVT9*(~{2Uq8!
zpX=9w$8-{8F&k_Zl>yH3dp++77sd2r^RmS`EU@G{TWz?R0ZkjOUwYpxjJJ0SW~YU)
zLX^LU;mjTj;QV9n#GT5Ip+^|wUY}Uu^<Ld7j!<*xZ)9t$<>SV0hXZ^>W>{fnW2t1w
zRWoo*XDf`GVZ#%AyQ8OHvVv(zgc!%O_25)~{$`*p36uBN99)TI1@pY8IadEnVcWaX
zjG~2kLL)rlm4^~5lz#7uyklYt5kgg}FQxtvh1JhbPE@df>hy!{6=zJKFMYt7uX2p=
z{^9+k)s_YHM_ylh{oELeo34c3-aACpm$Kfk93sJpo@9EGoG~m*-R>~e>?M?xny4ig
zNgx~lO8sz%5!~`rJD*nFM5stDUK6q>f!nKvA+a7qIBS!?t@6`dMs-A3pMe|+xFd_-
zP)rQrRdD*hiJ+GZ^Kre3C@vC2yB^9oP-p-fetPuy9qMDe{rUJ`86OEsMZ1j>g$*F`
zd|XDV_*X^(ch+O}btEXr3t`(As}GO(7mE~9Mi@4IoR3Z)Ab|m)zU9e+9>g4ux%#>4
zC!>nzVB=5&3B0%dOui7J2Yu>Gv^$04jM$%o@22%x;Lg6uqj|G*2(z2x3(%cpDC~GI
zcCd{FOvp_~eumLuCgRTGI+kh1@BXccQm0v=dE2Qy9&B_d;Qan-`S~A)uiKwX3(jo7
z{JX(<I)w%S{Zccn>9dT;+M?Y?8`wdXYoY$8A`Pr34rX%r%rWNHA2iqX-~e~>C`LWf
zg|Z#S-XE9?3^^NPjdNEyf$<@`Akk45;%-n*(rEt}v!#C%RF}9wVC00_!*@FHr<>pD
ziSaVyQLfME`UD<$&$QYmE~5kLYZRKLbx6?GuV(FJ!3X~X0096043}p-)_oMl?Y+s!
z-uH03hduwtC}l+&l&n;el~A;VN>rjKTT#hM$cp~I6c3q|kgTFoAuF;UZ?6~U#rd4;
zy3Y5fzoll}F-@@9sI0u{#0-xWZ?Vvo_(Aw_oZabq3hWK?zMOQO1;R0}0yaHCU|0l8
z9+IU%gkIezmO)l{{mG<94hg|v$Ya6JS2f_?x$6fzt=NHOvWuyMNd$TvKlfIwks*B5
zXJx&U0|w@={Z4Whh2s|bTl+4OA^TVSeEAtJ7;vFKy*VTXVtRIVhXu*7(fC4Na~lsd
z`ZT`&cTpVfKb{LIE+#>sp2JY9J|Dznu5*iRmxL>H7`AsMfv1cGC+B_vkd_j@EU&c{
za^}ZBl4MC>5&y}m+EEDjJl@?f+bIK%7iCo<W{Gf9ZqnhyEn#5nxWMHXCkNstL`u&P
z5mbYUcyfP<fJE=BS?O~M5YQ|oWBH8;#a6L7zdXd?<<oa-{Vj@6#Ph=!<0gTK<B8o)
zf44x-zObZJO=XDB$xLgoC&6m(gJ$O^67bS!x@qBw3W%LP5@cITf)Hk3PwE9J@I9(n
zH(;m+QPO)nhaJekr`&uzH$)l?E%m{ASRLMo*K+@p&;V|IH>>IEvJf15Y)$kI5q3Nt
zc^I~Z0!25bKi_PUht3qO#;iSL_<mj^J#3dIOnVBRT@zG<D*vQ2DO)LUsol_5pp6Qj
z9=+S4Z=(duY<Z232Q}e|xUEEZGY#yDrEa`SQijYeT}HV(X<+)qrY-y(9bOe539A`Z
zfqaUjxRnGQOpV-}OIWnv?PZDO4+d&bnVt4ny^9WMO_I-UyJ`dfW8FuC3F?q_eEZFk
z6AbvNd+Ra(kPf)HoC<LpCV=-|$AWt!3{ddCJ24xr2Ntq@W@QQ_=>Ic+JwjCrZuZsL
zJlbIZw|-oDt!YDs0})Cr;dCu<(oqomplk%sM@$0z_iBLV+pVmWH3p10i-;fPF@dR~
z2CPnp0#7)Ncrv3IQ0=Wh-#=vv%~a+qWnU@4%X43n@R|<c8Lm1D9sn<UeD#N&G(k(S
z&t2yw4YZ>R&%ZY?gEGIn&o4x2!t)I4or?>au<!MLyMxPSkU&29SKe0>&b{uTUE<Y%
zQDL?>^XcZmU@2*l=ibzLBP&FE2=G_e+PF;00{UcnIKFvM;KkF!pPz-Pf{M)D#^xXk
z&{d3)dLOC*SMK#*vKLT-oa6rMwK*0r?|RjH(w+?c!3Qs-oR$Ua7du|)7g|6`>v0$R
zzeHFVl`>jlNWi0`-!IkQwt(Fcp0uN<2tXNrYb$zM7?eBFPIh+-fJVzO({44mP@UBw
zRL=!LADlW*iC93)PFL$jB~{RFwZ9<zc?0w3Hk-IwZVvgwtCjl4l_B)&sMJ@E8O%7#
zX_udsIjrqE5m;NQ2=lM-U8Kt&u;V^Vq~iBxFi7Oc<Y!iZWsa5T2+9Y1?(y}1!Y*d;
z+ce4LFOmUV-6h2%b{to*n&e3y1klJ=4bFWm1z&G)-#qkj1~0B8ZVmDRnDtj@=BO8k
z-N`~vzO??u7u=*%ecxk{r2jQKj$I7i-#qt6=Hx&86+SEb`I{-YU0yW15-kitt-|+Y
zxt4K%om`&)CR5PgXMB+uC;*>sZ;a}-E#tz>>@lyEOn_%r$L^aM58Pej<4c@g#*O?t
zn|SPu;hxcr6Zg+@!2RdsO52=e+^W2lM!skSYSkCJ^d(q<b3VU7c4G-I{kr~YsM-*s
zT*SrB3NXR=c%>&VX$hBpa+u}6B?D+?DXdq1zKprAz<FE!fB5}c3Hn(x1Hdv<PvwpO
z#aMc$k`;{?asK?H*Ao-;Ax%eQZZUrb+b(*DJI`VP_hnyS${W>#m+~q@k2-&2^IusR
zQ7(UR#h>qFolW%MjJKO=r{*{8mo<mpqs#O7l;?W+z6@Ou$g~}_C>X*<AAebIYM;ZE
zqfFZOGU>uh$(^wQr*14D;feN`&K%A(<KQWJTnD!Hp6i=&Zo-tt6NH|kSv+F<-K%?h
zv>~SGUhf^de9VqFX7WqmEY22X9{<xy8*cWp#JNtE;@0Gij#$fC{O2#uwFmWDuwqQe
zhU<+u+uG!$F*b{D^S0_apr-{@)7$S&S9akMPmuXuk6FC;H&jnmFrf9@3b!P=2VV+u
z>E+L##Sgpn*?=wsxcH1tYngn;AI!?0dn`VO-!OjOp#6dl%$bcTwJakz+ksm)mx|`_
zKK$~T3JW^W`zv28+J41Nwv`)DeCKh4cB`_2P8ysgs9g)ZI)+=HHh&fA@E6bEb_!>A
zr-Ag}cD0BX-|>?ve5nsS7Vw*L?g}SHsjzP!%UavaIPNEvt0$hZh%0-)*l-o3LSkEd
zcLw7(E}_la+Q_zqN2X4Nx0`9g!eYavmzO8;4A)K#-pplOOXq9L(+CPwI<iSN&HlkH
z$84ec*edRj<4s(z(SXW7PY)!)3|>}JFC_1?jvIOeKCj&%L#)r~OG+8Dcst+g1wKb6
zR5T!PYkD)+g!r?!e-NC<*WgGG_YG!5TSPmaXOTcxP?7&!_Fw#O%?***Uo7a$#q1Q)
zKO&(1R|%547V+(cBfbax*ibEtUvQ)|5wf$I4L&L@;eKkOZTVX`&`pla`-?aM>h^f4
zNXxI_Gr23V^FKKe|C{ekW10jQ_@!K#zGDr4a6{HmW|A8XU2qqwc&H90<hJgEc^i0r
zxAl~pG9T(TGRvM+Q3uzfr53}|%;>05x|Um_03!04wHOww!OJACV^%RNC}5F56wDGr
zeW`l;{V+9<bIzm02(Y2mlhlbzVj@Vgdg8~W0aYLeE8G96XGa&Q#(CdML{V4W+3d2*
zs*r4&RIQN0iFnKkpIQWMK_@={XMNgO6&y8MO#h^DBlJmhzV4s|Vi5VIQdm^MGm`u*
zpo<sPANDu993q7#v(=bs{VI?tvGVt~p#b_4X3Ex5FOB8}espy<s(_C0q28cCA#`S~
zm43@m4lPZW)<-m}z$={na_ERKvJwgkdK;#IVsm#1Hhfcov%X4SKL(4U3cvYRmnRg_
zKgt*RkBX|WP#c=tOW1<ymHs@?xTuU4T1~x@E~$d-)%tyzY!XOzsL{P&Qx!EIB)cc`
zr~!xn9tTb?DOB=mdv4FN8rqTXcE|L!8t{G@dmg7PjhJg<zgmAGpj;oV&eAe<P&^~r
zwi+jkPIaF9IzB`~)r~<cFGmQ#K6fuLpIrg{QnPc3p3*=97Jlt7_L9I!BxXSQfFgPq
zvvx6qi;4<5y0mq-YJgP--?7+NN~obV@L+f%4LO|k{vE2T30J(`o&_4HppfUkO8D;4
z(OZqg@gL4KIH-{pZ~RgfJu5VOotnTv{lA)}KR451O)0N;)LI=Sf7(x2^w&Z!6(t+C
z`DuYqNpSJYJ_53jZ)prv*GA3XZZj0kbzo+i*(S)HgzhBvr|3P^Mpd0oHlf?~p!32d
zG|^2)`#stmbpC0h+4Skdr6&zQ?XrzX359|L1rA53E@&gYlCeR(Y9qL=>hGd_NE2;3
zOPVWN8y(C4TI$YY3OA2A^SbY&qA1>JxzY(OByv?kE`kKmnt5%{MGhKrR-Iy|4>8b>
zs(ZnDW@fPNFt8+TL_;~Xq60l==%_4dc-s+Eb9kK0G%{~VL&FC;;>vGPkyU1I^00&j
ztg_@*H7L?h#^8=8#&u+*9q_^DQlkYZY^6j!dO$_@PMi&r%2r2G=NUEp=9X}N;Z%-6
zp(aZCb7wT}m@<;Axc0sz-VzAU)@~DzP*Blb%g<>sa>&XhpM5UZ5>#D$7IQw6QF^`8
z_?aSclu|R2Y@c8WIvFc^tTH6jATcpPXBR~A+_{lfdn{pIe95Opn}BRRS)Gt83(Cnj
zA9`Wg0%Dm8UifRPA-3}m8U`h&@SUo!^qa0(z%A3AZI=lu2rZYI3FQBWE#SGle%ux?
zd$fQgE31SERsr|+oSDHE_q%wbi{>D8_4{5Y83p7k9_1&}xr))sbaoHTn8Eah?3)v=
zGKel(OpbZV0@0H=_2FSNxa5E0=<R2c=yAZW^0#l<!9h}x*xd_oVWpaM9JU~<cO@|<
ze>fqd?dyb|0|48xPp)(PBB+XRw{_8;8%D=nQtQ$&@UHv)eo<cl$?jrNDH7)a(NZa|
zga@X;b5tTjtB(tbhwsZ>@#BH5B~QL7KR1D1AKC3*3#{mV=B;-j!8~wJho?d3gE82e
zM_4CHZ{UCTWncKW+4En^0%x^Xjo>PETIn5S5ii*#s<>x{8wizSw@y%vKu%9t!Bk`#
z58r1XHIv8<&!aQ%O86N9<La4{aekwC+ZC_VF?4PazgX>k_L%{ERG)PqN_XKbl3SmZ
z_j7^L*5ZgC>-wO9O|zNLmts5y*q!`jE_jOKuHjDl5I#^Z$Q99pVS@IjlYF>fB=m~Q
zxu<%NR<$oR<>V;#CU~|@%$W<stV)^+h4rAh_i>2i&@XI;P3K77F)lEElJV$IxGos|
zcg#-h-85!<K!)@&l?ym@-fOJ>(1DN9nB}+0In3AjqjlOe7tD!RQBw};z#(C82GfTH
z?BHTwO@u!;EVi=6CU$E>sV(;f<r_=b(Vm`~7s5QC=t`~X+^r1_m?4Fku!`|n(V3%%
zcz`WRw9m9h3(TUg1sy3_$5dm(-pq9Kf?f8GnLalyxL_qWs+P<I4<A{*GFae)xP^iH
zxf2ZNQhizx`JNfBH?2^LEd;<@ERa-skpWsWO03DEtiW-Kj=g;;2xIf}ozjvFc<IG7
z8|umiG6N?)?^g)HZqtQip-MW~h1U43m$F0d;V!|*2g1;$e#gGag$^|dkMIF8PB2Kg
z^-H)w1c-wtHlkVSaN>r%U`9L_td-koN41GUzFb$@{c;*K-X8NWlH`G@_&$A6-Yr1V
zDB_FrrNJpo(cw7G3lSXy_a%>s!$<*^T2G)s$`_)bTr@u@TTkl$`62;z<QkDDgH&K6
z)hcrx6NJH`y~#7@q#%Tj>$07t!pNs<d&pHn5MvuHeB3}9vK#2TsbnhbHA-?6?GT0l
zQ9!Q02)7Q1kdy`b{^>5kX-(L>qq?kqNd%JGW7l}4<$>m)V%*)T32HUb8mUHNpc(4S
z(Ve3JVm7T@%SaQnRqL|<-Pr<(sr|~NCPk2rVp7=sUK500-CE+{lmM5pAG!23C7^9f
z&|qby!q#-|9aTw^pgwkHM0T4Bxc@!x9lMVTcM2TCO7*t_tKe?2_zYFpvf-&%*hPiI
zXIbgmOVSYU&3oCISsfnT)=a52q`_P<J%y=T7R>Jlzq=4bfL7zNwCi~^7&Bc?)o7N7
z8EvkuW1HMtv3Aq;hdLdkIBV-Sek#D5aponOD;Y3Euk2`|L(AC)qSvw_xMqcXDrnPy
z%<tZUe4895&%rrpC#np#PI(GjshUtz>vo)J^R7a+oN`rXs6Z|Cb@H2VD!8_OHt=`W
z24$y-!P`!%5O;A=@U;UCIwtR0Y6t6pwg7eb#3?nPQYW0b+i5`P8;cVu(1oPf-%qQq
ztHbv~_Dmfz9kQ+)=eVxvL0)i&W^F0~N_&mJHhR-x&*AfxjmHcik9ob9f0Li@B`GiF
zpQ6L@(R9pY)Nqpvx7qiGkibW$UA1{P9XdMq(58<W!?l2au>v||uspYFl)g@b*P>l{
z;S(nCGWfrSfp#*C$L%^?5lVv}3Vck~M=_Xs;v2$kpaDv@7ELa}RIt!Ut5iG!5E@=r
z>vvKEzTL>NuS%sr`3vd_&S3`hFEM8hoYH`tH+R#n29QB4#m8#PZ8IS4da?JPu?D37
zidphuA;PC18&@?BbBN58AO?4kA<R?wrG>8=tcE`f&_84js3!g-8;K0mRG*TxI%U}Q
z?o$0m%BCK}bEn^l1WTR!Mr#BWq5Ax>KY5$nC!*MH*yu=v3yNFL3s1{H)3SBQg9>wa
zolPHmPa=RwUdHDjeo6T1?d%biVGj1=_3C}!)gb2B3)*O+DCDfLc3%rHhi<#%-+ynY
z0%3f?Nm))1uBkVZJv7Z>Z)*K4k)Q&?XK3w@Ww>BaA&2sE*bE-!DHY7tDZyOhu1_bF
zSs)uad?;7Uz~buVzdTNgkcpihN!+`PeTZKO_^e_EtcFD`=SSorY}?AMY0Fs*Q*X(M
zd<ih2lX$a)Aq$>&3m8W4e_+X9inI6c1=y=z8$rw43bvKPrysxomR#KDY~F)Gi50^t
z!%z~&D;9>m>1`NmcZ-4t3kLfqI0BlNw!oQmReiN9&#=tzs%K|urf^k${U!65D3o@+
z{lv^j!wvEy{jCq1fZD-lB|DadVXpnzm((j|xV@*sRkJi>U=eu~dDB=3@((--sr;`3
zuQBmS*xzFWRt}#R2A%kUHbL8nd0v8-b?gmjl`w+-9dFEAF7ZGY=UwKIh6G%0Kt$=O
zn<2=l$9GMvZ|0s}(6N6%9%F;$VKR#a1`vFx$+EtQ9n^-H^^`4f47I(@zr3msWlK#7
z`?^`7)M?6b`s!OOs!BjaYqO6?=N{{oDzSjGK(~%6@dK7$`NZTyi5}c_xtiBh!~~Ii
z92?&5pD@qJ9|sHs^}s?|tS0pHI#y>~xZARG7~3<MNihu31@+{=rrobrvGrhgsL>w9
z7()K;#e+J~6#DDp8tV#H$6|EnY0`IWlxjr^u+af8fu{L|)FrIdrq`97=@&LV+mL#&
zUK^GJf3(M(`-fF?)FelrpTu4h6BC@Zw4prf?HcXjBKA9fhwaZR)0hoSrog6H3%<RW
z60s9l#5mZPe3A~#V$E)zO7dhaFei9#pDtU#3X+HKha1mhN0)z<pdtqJR>}OBy}5vm
z4P6@>qb^|E8%9DD84Q>VED;^gTEM*K=iP7V|HGb7{pQo%<jvn>B{AY73)uanG~N3L
zma!`IB74D#4o-sanNB(^VlAt$B{I`iu_t!RGVXmecv!nJeRFCNbDP|^a%62CGuft<
z5a>sPEZskT4{QEmMRK*dGH;lmd)O^OgN+7tXBsympDkh2Vx9xe3M>%Dl~svhRES1{
z_K`iy*eh4bnj<N!z`G%#R(4(!sB>Yp3B*;*r8~PbgvbteOg$|JUsE8K?e2zZ(Hd6B
z9(!$SfCIjs+o)U<rhp5d+6Oa_4eTCM)q~IqF8HS9m*M530ojLRsoHr=u#Nof{I7Bz
z5D}Ys5%eD!S~LVq-j_22%(#5_ALavom2JBoQOWRR#hdnega!Vwh~ZvFf)HOOeLnj>
z3F5k@I)y20aI^0DhVFMEu%436l9nSu!<zhI-gI^tI<i%&)<y)xMKzDHJ|e<ZZCN5l
z;e=jh<=U1mQ2;@Hu^>Yt96$d|`22S+2<m8Y;ybei&Ogs9C?6m|<uQBn4=p@!>$sV;
zo}~nIeoQ>>b&~*hBYt#T>*oV|)3+pMeJSu_QuaCINC4}^qhr!Cf}kf*CLz3Uvws&~
zy9}ul;GfskD)AN}xDx!uXEa9^^801B$A}SN_}l=Sse%Y({g!3h!><553yB{+wi2Lc
zci*6QvM6|s3L3|GDMD?m)-`sM%{jY8hule9V4#VWc&AGVZ25vZ5+VuUR_A(abVM8~
zqE1!^?N<SU>Ve&5KMAm(N9vkytt4c5hCU2fP=z;#bg`QAL{L{|`zKnx6++71yqzsn
zhl8)as9rHAL11~pk??*QfX}<Tv_gqco52njP08@{@ASC{MS0NPKP5k5M~0(qnel#S
zG~glOqRd940tENJVq&LJAbWY0V7y3yNNlycn^y@OjQ`|-C>0*mO;kL3MFkqgVST%Y
zGOVh_90?1ffyq*<b<Y$HhM2}%e2@wlHrzVhv!4z|JeT6<)EQt?`0y-+pax8XY<QI_
z19Gd|_w2i&1!R4tb&Di*IJ46^<wFkx$SscbSLJlTiLu!yi<|$!YOmFdhZeL|q&*w!
z(}gYC#!vP;lE5%Z#NV$*3y#(gr$|@nL)%?R0rq4vG+xB?Rz7OM>sgKSZ%Yk<`QV&j
zYqbU}NGep6Z2DaMo@lOX?Ph*D*how~qrgrx9%TtbEr=Wp58vKs3I{(|NVkP*!hbUl
z6THtbz%0|%_n-$rSk)o?`LZUwQgSP|^QFUf!5$9}J2RNHcyCvtPlZ|&<@9KA8Wcy4
zG|noRL%4K9sxgTQ)2ieKo=yM!=Wz6>_Xl$bxzZlZ+O7$;-S>IovWZ|McBS--n+32i
ztcS#uG$GelD$j3K6~-$EM_G{t99Kv@J3*m9>h2p8ymm_Pec0%f;DQD0CfuGE`A3F{
z(>{l3$7Ny4<c;h{7E2KSU|)4Qjsz<=(sIZT#Nq5}b)DHS3wRfjUzj;ffC(?_3vYsj
zpzhwdQ_V9AsK{&fs?}A8rxW4LxijogP;UO#!`%X^-BY%F^HBxP-p}bSyi1t&h0a}J
zOXi?Z%vI-`qzpIZs8!5~Uopd}UYU-|=J0pY=g{tYMaY}@n4WFbhCA`!esYf69I7Iu
zBh|*_fq7tC&RfUd_=Puy{}siWLBbPFt3LrUpx{?lP=4$$E*yXiQ#b#U^nAkgZK_gm
z<n%+sCo(IzM1|wqtjhrD1m#Qa0^%?=LkjGZ+rarHGq$*L0!W|jSa_)^3ZMGA^avwN
zD9b>=wO9&+1ACtZrpF3_=J(wE+=t9ae)z5=Mlpqe9j93{_4!~!I5*Xki3K^{6d3=$
z(*!b~tuR90aY7Jpo+^Ql1$}V*9#$A=4EphAKka*2f#4cLW{fbSxUbiaTW1-;bQ?iW
z#gYm7yMncECom(fUb_?fKN<qQU2!L_xQtD(_@$K-nUOWlr@mXv5WH&q6_ZZPW5q7>
zFFw>VA^wJP&gTaV;QG4zzQDpM>~H_ioOoL%bdtmsv;J5g{!1NXR>}E>9ZYi2i)!1z
z504)YuUyfCjkkLqTarIxEOerj@+Oa(oM3bW?bU<&kENQe&s#9JVvA<i8|!$?)FYdY
z3SD3d?K;`Kb1$~Cvd77VxQ;(hRPs0{r3-SCugQZ|P53oR>z7+|YxqIE$nDzEIv{qI
zZP=&qBVHF4`P=Z%8cuTm??=syHc<3LV_3O{@jYS;&my^XT#0tDq~BY6)Bh61p&g?*
zoG|lx7`={vQOWZ28_<IJH_W|b%|CE|59|3`@*8-nj<c_=vle7Is{Ofi`8Td4EVfiV
zw}F=uk{-DAF~Cuy$c=T&ADotal2#qbgz9XHb#AyafNANQ{ZWe<oQ?Ef;Z{{<G!sP^
zY96D5e1~-H_4!%+a*1Qu_aDs2QPH-M?Ia!YBpfF0<jvzp<=@w9yk$Wx$DgK~GSlJe
zyGQkvE(`cM;glfVc2?xHo2e}<nFgUUp=!NS|L{Y>#De%)Hgw?X%5(*V289VZuQPrv
z;a;|)Z<dTWP=#^KUcoz57&dJ`8U1bruXv<qaj%dQ9p86&n&+b?m`y}}nfkDX|1IuA
zZ5G^Us?|3+T}~5vqOS89FK*yghnzpyaq^;$S8~tAPEw#wDZkc7ff@Ox6%MK_@gYy8
z?N`2Ra?IpTZ*GZ$Ea=tkTk$0_f@qTG^hhj21MXcn@;F<<irjdO+S_V{Q1C_W_Gb^s
zpr&uT5-H1$!rDhlXIMqhh4`#7f*cuavpi~Pg&fFrmrLRJ2~l)S;ZMT%hnu}1Jyce4
zfD2JZl`Q7w#Snc_$xPgc1b;HdNC&7qs6PK+@A3QM2$v45lp7{OKaF}LQG*W&+z3-E
zJtc|8K0dH3yiJ5>pEO?m-YbBv7fn)C1Gb{T#Zw-Y2Z&&qwO=%DzYx0g(o>uNwhY=G
zHG1`qE)lwue#?($3ZpwaAFG9o$swIo@&zUm5#~Sb{ynrIf<kK253!ahpf}f}WYzVF
z(4dwm>TppE&6QX#1#&B)^)H|E%e;xOEi^!VN>&_2$0eS~JEM#gjycJ6mlNR&&%gy3
zlt6m)C<*Ni74&0{<>?L*2?|Pg-i>-Gg%H;bx#@H@logye=iE+$@(qoS$OdVYt6S1q
zWJ^Gz#74!A&3)>fJAA_Lr!4B@?ESIEPeO;!t_goC)qu{*pE6ET3aGMUsOfh<8S#vK
z5C67Cfwy<K8ZmoCG}W=d`>=?DRIG?}r(0C$(aW-2N>oC2u`N2<5meNAb$0@16%AhA
zurnfkRYqnRJj;q1G$b3<pvBrjhm-sHw?`YPqWc%yen$Gy(SrZn<7xpd$WT}-Nl8^h
zj)cxMDK!S-pgwdt7p@KWlP>(OTTn-@cZFBC;0*LY)ZxPjpDxh!ZIrleiHI%ZeL*u-
z3mKn^-DA|K2Re4wWcDSJ(Bi+h?IwO&X!M~)y+MWnD3}iLhSZahfBK7K0-Jhvi%s%_
zSR;tOH(PVQNdx&?x4!IE*Fw%aZf`w!!34NnOHb~9KtbC&10O7>G0^$-4WqUI3<d{N
zsZLg!D5iv4JmC!;UCL4#{gemr^~?^v$s$eUOwXI+&!?eF0i3p!i)QdY00030{|uLh
zJJxL&hV7lb=WB0XdxYO@hNL2yNkk=4LW_nKA!JteNQs8>8R2;nvLe|dB|=n4k^S{2
zT*q<W*Lj^0Pqe<qb*f-SwPjVR`zm-me)!5wBNM1*p`@29P{BSdx7~Ha74a2|9b<<v
z6F7b*y|__H1?LJ}V-Ay&!yBJ}`z_d;0&jS<UW&gmem&k5L{%h((b0$rnnF{6+c##W
z{FE?y)ObxoQXKPmvFxgBGlltfs=5+YMLcfR6LB?M2y>i_&~a`zg}&ntmfm7{95_{7
zSV-o<=ZD|UvOF>c*=WOjZ$&vg<)At@@PifG`K%w}IBg0iZXOh7ydr~Djou{g4AbC|
z^}o*)cuj#qTwMBltrVWq&P;1N{})j*XUTIsGXd-Oen(IKk-!X*MRvA|Q^>c{^$_j9
zyzJAPUUxLaarJdu3CHPbVt@P|>x3p_*u^zSqFNWlrJVDu$^l;qVdPGB++z&K7Hltu
zJQc#EbZyJs6-z{(;0Co`8$ii<X~*a!ejK4<e)4Ab3UMYQWzN(F;3xO+nqMIgmdGk}
zNjkbtNJ*!#H5C%TXP036d!7?($b|*&FW)3y*H1rPs5FAL@cWU2r`d64$)C&nH@ArB
zF1K=q_lA%glo4)Y!GiDAjZA0X+$OS4Ge=(jWdLQo90R7}47e3JLC%eB!hKA#%tpij
zevDaPk~mI-9}j!-1aNN?(GOkUS{&F7F7Yi5?2MFH{FvjH0?#dCD0K1ybDTbuy-Mv&
z<=jNQCRqo>V>XGN7dMV7zSDya>v$u|S1ZUd_GAs${S87v>)o^(uO9r0A*A<jE}<Lr
z17F(9)(N!-M-G;I>q2DXyN$QE=MmHI_4<_dHG+!Ncv|C?4m>J~)?E>tLhIXd$|2i-
ziEwYDPhPw_VB*vpnL;^=hMY1r#`gau%#N|I&4y@$B=;@l*t9Mr`uFA^@upRxd}cWG
z!k8A&^>IcdhQ2@t?=y3<A6+G4pBMgkXQ2fTp6v^;!Ow}Eze52glB<M}USax+N=?Xo
zzV{G)RvVGtd!RFnbCu}ScZpb)(}YEbg>W;^K4K~Sw%dyGDiMFwDl#BX0~o_<dzcQ6
z5*f`?6|o_!gq{*Uuqvbhx>vd*D?WZEZeHI1^T+p9Vy*huyMX)Z&@HShhd)gcEgDs{
zL&<*$zZ%o44WjDc?T)lB*G&`ibJscqeb$H*2P*mB6{`VPZ&G6H^>2iZ;XMxQyH4Eg
zqS_NnR)fIo29qqE@5IsYr&1#M8w6`pSj<!d890djR}#MeB)(`qe=y0kMMS+}(d|1x
zhLzvD&0G2w2{Rhq2dbspMAYAxCks1O;cM(k7jc7Mg!!ORUmH-s*%1FjmD?&H!boo3
zc(zQur9FM0!<rKA&ScU|>Zrg~^YOu9oj=5$nD;6TfmGo2adme0MP(5D?#QUtzd~FX
z@zk8HqlWZ3x!6&p1Z-c`TQ4O1CF=fmQ?Dq{0tHXM%RH+Rq&>=s)AU{^;<MEPauFT0
z-l(N4_Ev<{Kv!v&W1GamQ!mt(!Wcknp_b91Ndf52yV!L{{k!9s$7B0XF~J#HHx+k9
z1<+BSZZP$ufJKW~ipx<fu$+F`!tlO4#N3<QXZ(~BQnh=PV+UAa@2K|A1a5f{>Q`HN
z!b%M>5@~rCpRvP-7+x0kOgXSl4}Wqqfd-;&8?qX>Ibq!A?tv#Va-c?<j$cus1CxEb
z_ZHpbf)InF@1tJJLhNLyv-1i)9QGUiGi=5KvR+YxKTpX*$AQz=jAt0Zt%LQVJTD)J
zI%Tlk6qf~#@bUIQS{9JL<2!efLjYv_)aeZ8WFV!EOY_qqR;Uzyn{Yx;2!h@^upViV
zfgOoH_ijISX!Nbv-J2u=jyx(3xz#eTmvn(^se=RTY6x+rT_iYfdb?Y@Nd|@$(b)wn
zE|@stm3jNLI9#naa{ByT23DObRfcD|A*Zq7W7?DiBnSD<E^5m{@kbuj>{4E^yjnH1
z`=S)=mD#IztV9+l?AitvlK8=Ar9W(1S_V$tXx`svDhCv2+C=2C1wn$}L6H8tEJU8?
z^G)NFhX7IgUe5Qzz!E#_+Wl4@+@@o1#t15afpvOqt-Kg8RZ(`0yi|nV5r-r6UWzcO
z+Gum9j|3jAt)<;%%J5{^U%hZy3C^8Ap0^_{0l$37q^$?4&};l%{!On6v`Jk{mAWYj
zWo6%nDLTn8K~k||jv_-v*IfVVZz<qQcj0TURs*>yo1=5@)SxacHe2Vk3@9Jv|0$NN
z4z;#yzEkEJU|2H93sbUS<(+R$xmN=O6hp3Le%FL|34^MOPV&GS*f3x*ssRl{vnwV@
z8&V^iC`+&c>~@KbIH;`&Od|1Y^3}Q!#Ol4vn?niyJS^*(I-m&$4>Nz1>(U3IwI8uU
zpbXL(=X9*ZHQ^@rHt(I^2Jnu;mx^qx0;0o3^BMp8;%$wOgr5)rX~Ns{>Wr#j+N!ld
z(Wwqwr8mEeX9DaorZTTjPz7jz+S2jw|8Kbkb2KIz!+%$9l^$tP1sZ;%_%1Cn(E87M
zh@3Wovu4@ULFKAIb}>mg#HkE*v98akB}_p+UcPh?RKY)*9CF!H9*P+Rv(7v*h2!V@
zedNPc;M+awk+BGA2t1Tu$+yc47^xD^;}B(-tF>Ara>XGui*>NZ&<vJSwR1IPmB8=P
zN9yvILLh3+Db#CX20@~m{P%JcAl)zi8uKG=&|*8`C@gLUM<2G*Cw-HHvAnD14^vp6
z=|`A&^SCKU8>G)z@W=wYj)eQ14<%4f>ynGZO@UJ_ek(^s8t#eA_CHQoAVfJ0>Y}(z
zfs$6>N06~3P#pKz^2+fd<~mb0Gc!!!w~MO3jFUJ-_&8t6*Zzj8wNqDQxJ^L$Ofxxq
zMHJ+xgZ~Z$ub}4!9qgwQjKQWrbHU3?2qIkhydF<%A?{@@@eDd+kYW7Bm_xx2k=~^F
z(p*aHS#`hW=M4ZCAr3m$er`YqE_VBeP~%MdsHUG30Cmjz(vPM%V5G}OFDH)%FQg^)
zFES87>f%2x>d6W{$DN0k%xH1fVXY6p1dM=cJdTwrh!F&NIyEOFY4MXeB0xmT5DxVD
z-pbmb0fVtN|Cgb(_>!D>Gq@N)XGy-k-!cUl&5CxsHKoNbMW=j!#Owy!7zNkqhwH@W
z?Gu&aKWOlIdO6k<tPhK&mgZr~zX_U^;5QpLX|QN<P+%H`K8y#hh}*vXP6)MY-g6?+
z;DX@e^e&cqu;<CQM&_U|M2%~~p+rQDYs@*A4`k><_7|yq+prJBVF{yxHa}{-yL$J~
z@9#P=>oipL$uW;OMRfrODpTWf`H13vOC4xx6{IS1Z$rk{EwwUesc};r&!farZ4lhO
zck|BAVYELhO;P(V6_ymM+TYEg4MtO6Mwb74L7NVBol*4EIIMkY$M&igz{kX7eg9eX
z#v_5Gq(zODy|%0S7c^m5dDNux;tyncS#bMII5jS{>%>|<no#ulNDm|L61rz6d&6Oo
z8ppbEhwYvC_fJ1+XR>XVQJ2vZhn{ORSd~UScGE)x3WaYQRR{b*=2e~4U23#==EN4O
z&R2C9^Fr)K;j2h`o-neer^9Zo=H5$Z)S=O3GdSS(8md#5VLd@fk8Ku<m*qFqpa`+e
zZ{OcQ6Uh&fg8uEM8ve&FGx2I**83RCRcs-B8NY#zlZ;rYEAf-Aq#7{IdH!k}+(D`1
z3I|(;nQ-0ldLf;ET>kjdjq26E9o5LR!8aMqf=`7dFVVP@VNx)lt67T*Q|NihmJ+Nu
zPvT(Pdnz(m3O#)*d7c_~<Vkgn3$x=GYZ<LFXH|GRf;i`!XmCiWgGZzW2d=oLl-N+M
z0;w8d@@gt{m|$SAcK7DQ(pgvY6D3uk<l6&NjtYAGtG=vI>LnLu9kF@0bx#@m8m%3l
z+cV<WTJ-yoI1di`^b~WGltEF^#n+sd8IwJBa(kch;>h=f>fA4t!2CP=F#8q@=GYE0
zNc7;x@+N_2E;uQ{5Z68dZ)P^k(pyf~q$P-J1!gk0{_)+Ty5yN{0XsH&<K#`K31bc0
zki3dvMYztQqsu(Nfm<bVt?nNZ#StSv&;6}cgxzXJ%}Ekm*yqyP_1gzX*hElLDydQt
zY?lohFUE3XPw!J9&2i$mrBL;7L8l@V47FGQ3oriNz4ClxR07v`7QAVuRsueK>P+o2
zKI{<run2(^cGljNMRimOoH$hjeS8J*=nh=ks+Pu$(-DR5zbJvDn1%VJJwlj%>p|dq
z6ImP)ZhCE3sxoxcRTQO|ir_wpoRoc|a@aGP=hMsu6*#f^(nrBv4AXfzZCPGbz_Qo9
zqhF<{f^43n#%wzYKbG;J5|B~CMw#@Zej#MYdHSelds!UkNVIagbtvN=+w;$a&D3D-
zibmH-IZ2!$)Zo>2ToqTu^Ayl({o|GVSv_BGDLmr)u`KR986OOqUe2)AfT$);vU`a%
zmX{m*7A~QNEfsk)Eu%ES^VPG4+;1}2!G_1at4a+kYy7#OF{K5Z54DA_%E;j{zmUC-
zit4zNXX;z+aUE!5{AzFFD36B|9A6FuspBn0s|qre9&jtRJhKT>z?rt!4Nk?Y;}ZUf
zi+3yaVf%5J)&5{bEE`RyWqDd1KboYB%n3Gt(szs3A0AY~QW58rGFa5{g<X<USlbB7
zDi$|KDU|W!sISY4{%ZI}XQR&O{6Bvw*O-#HqKq&4AIn!sCS#HD3vrj;07O33-Jz{j
z#?++_V<W#+aN$!0W$7?ukd5qcU8q*Z$)DQ4CLUM9HEAx6Z-q@jee&FVPOvim&3j60
zU(CN8(+t6(*(Ts}KeHfUQ3;0?<P~%O^So9z&j6lH6A+{3rah*lgk91NLY_NI;=-Nm
zy>>dL@auy>(ias)?B|n|s0bu{@5sv4Py0>5Ocqz3+>yum>CwK_iGo;I!(>3f(iD1l
z+OLd0ki!MDWs<A(JoxH_`=1g?Q;6Lx-oLCOi!b$S%U@++$3GH3)of3jz^EyEUS_^D
zj<eYq$v30Nc9*RLr_)V<ZuBm-BZCzFZSv#;Yv2yD?6bYjrfUKQFZR~`JS~CE5;s<4
z`hTH-w91QbyNqE;D3Xb>kAwq9%kO?BO`wW-e7xD+7|2vlYK3o$;=F@3&p4;=qi3&T
zoO$N~{!8f!)kqb>FFY4s$CC$%*G2<cA|U{_dy>A<Hu7V-|DKN;cT5oxF88<dC;{@`
zasOBp=EamAADXR<=7}+9CTI~MAcF5tz4=2feALXc+th!7KwZnc=M0VD4C8RzU2hJ2
ziF|qgp6Nv*)<OTGnU^61iA^Oam9k=2{{+KW_a)*8XRlIAq5*uRUCFpT&xDmfe>?Hf
zdWmQ=>Gza+vm35D?cA%6qsQ$LhrG{rFA|RpEne7d>4Ou=x_v5&25Y_hbz6#Qk!Vtk
zmLeJHgQ@P%M{a$TxUZpcDM02YAvBsMyC+HyoRk%pwkNice&&<i%Nz5=OdooA@q;el
zXo~m4rR&Il&DCnN;u~>(XuH5mS{DvDr|g8Ste`83X%T6jGlW!of<{f44)l0Bc^t1^
zMu$6oY)lA!C6G~AuIi{Zq<aS`MolfEi!ZM6sLy{Pc(ORHA`G=5FnC6f^3!*8LgTH)
z@1f6xoBll0g(5AmRcN;e%$`MyQfo))`acqa9|N~~*|cDm>9Jtb;uH${7|L8?K0<hw
zr7fPkrU`dwKSnUUoj@1rm%cF44H9RX)!r~JYXD~fddff=M`zVY(G@&>#AHfi#cf{=
zVBI<#A$oZjjRq&DC<OKp@oh{mdjD~acCKemF1#O=h52mhsdf>2S7ZmOj;q73z3$c%
zqz~v~%>CE-RP6-g^TJl)88v9SVCir?q6^LR-(u%H)Ix+&uzODXsR3_S0M}Mg8`7`g
zpSa8ah7b<fuw4H`249an{+{S&WV6L^#>gBKGj@^>iEuKIbqi0a?`lMCGlsgUIj@L=
zA?JSOaFD^7_O6~hG@vN1x+yy6Dq_D?p%1mCD%20go!aM6gT9o_NESSJLFllNKNJP3
zfP8xg!>m>%l2$I}$q9Z&aOf;`{Vh-idLbQqfj7@ly>@P&*XhSZ_OY7lgF{L{$9LFf
zu&ErWioI!2dG>(#S?TU2$gKqX>bIzGu0KTSjb%DCxdnt9^OkbfAw?MbP)k)$QH*@2
zrtS10hq&RvU8j3b0Ump2(7paIA6ZI0I9_g$NnBqS+~}N=hrq5NpK8h+<bOJ0bz@fw
zu`A1OR9jOXQvHqlY!dIHuS8L`r%VEIjK0y-Aw~|aAA7Lc`!fwOwli!#caI_>I}_;`
zCS+mmCOb)I=MGw|D3URh3L~;}dxunw{&~n-+2gH6NvN{n{RvmObA<Q46{{z?GGHmj
zBK0#V0g1YH3+OI56V;v9>bz-X;L6ax+s03BAv24HdskGfkY1$UQM~|ZSlS||uHJ}2
zM+)m^jxC))HLE+ayFN<6S^ay0s=uPq5B6_Y`PGAvP1AZuv#k_djt?VEe2YQ}ZoAVj
zQidYCWm27GlO!BgQvn61D74maow=d)1~Q$b5(_nyghH}I#B<dsba~Qw>~drj;_2D$
zu&9-QP{X8RIiD!hDfXv-%sdvkbf33K(w6{c4^fXV%TXw3?GaUlNCIkIBh^5IIE;NB
z@4V6*jdZA$%c*ZCAvMMFB`_C<v=LpWbjldSc*8r;=;0ltlzhnTayJPc9?9U(3ynoO
zJ?B)dzosH3>)M?GHxfA9PN;fl7Ki$xy+^lfGEik*%~JTtKhLz5@iul%K*pinhkR%5
zqV_)LpH`G&@IFG}j?bG!#I`{8+^Wk$FH+;qjVOzPW^1xm4J4y>9l9Gu1G%V>K6%$J
z4-ptH(kzI3cL$Bgce4J?$wv$3FT7r52*Z|_aoMxDR5V!&)Az3yBJ$<vf8#(1)&!JZ
z9KDu~o_O42`<z&e>}xMgukZ@Nltt*TnDR`d<&@&MG*p5PrB`_yxC_GUzA5|9Lidrd
zd;7I4k5be&eni*5Q~>PjOfSyA&qgmhP5r%9%2B8U&v)Mqeo(#V7{Tb9hurc?^$tis
zL)rbD>l_F9K|)pY*(h%Tid$=;-1F%<$`eU#G=0nmL!rV!MazXqUqrUpp#246qnwPH
zVB~|`tjt{%v=30h1qI3<^OZ=;cQfFfA1`!J+fDtodx(zx8lbJWu110;%NOQ)dBDD<
ze^UBODU$3W<#+$6MZ45ALxl+*i1wehc~M)AnveeF6!}<>)E*9~TR!22#ZP3h>w(XZ
z*_uXJOA<z&WDR9|ac;26bj;JzszC4dht|e=HlhqU+7Zc2E_fnX&t0wX64{Lo51%~M
zgro)oV)Hq<K)I)6Y|80B6cc2kpZ&N61&$s%|1yaaC|`{|+uKr&thwHw5h1rBa%&Ve
z=i~&&0N)|g%de2i(lw!%+Z~AhSXc&;!2w@M#jDg|4Tw`fq)>p=ja+>$Dkq3>0GY4L
zYkVFf@2WaKhW$NgpTXvs;A3{+x}A8_wY?E3P2bLWW890X21HB;^w_~Tr6{lVQxh7s
zcE0K6-;a8%j<vgGu)*)FcbR_bZ;_>;?U%CAL3CQ{^K04Hte{XIp<L3|hW<_-e(I4t
zf==O!_P-W)0c9{lVQ6_L`WjoF&X)NR8SNY@E0);>(Z0$KE7RS`>c20K%R)aRCdWV2
zWKR|#6X%Qsa1RnUDDR^3_=5EJi=;#qG6Thp+-8%;UgTht+Q}6<g~ndTwCB$;!SbcV
z#{Con=;#}>Zv}(X=rh0HaEuNU1XR_{x!f2+_bv|YGrjx`S<t`Bu)4(v5-Dsf&ih6Y
ze}#YFS-<ZnytVts&KCyY%a_s8I5UpM1dkLyu3A9D$4(3m8Z$uF{MD6ne?B8Q4%(o-
zFP0Ehe4Qdk2|dh~_kQh|{eoP3O^zotE~C_#3(hoL^kDpi^6M<`S2Q=rPjAk?f)rL=
z9OR<uU@64=eOvSlYVCbo`?c^ddQ>w&FGxuTaR!I?n8O^}+q^IMP1FXmW97PA97zk+
z<C~{RHa}3$euhJeXd5MFt8;$fpoO^jXbv8iMdZg(MnNc3;!_K(GYgMsKujS%xXkz$
zg3q#}#cI?zpX<EnV_O=yZpZuZkLPc6=i{Acy60(ezESsIaVi=xKdyDIxoHI%4u0Sf
zTBFAS?g6rtZ>b@chj>}-zlOZq*0?k~m~cI@^7%m?HSj40PV70giRco&BzFJWg>&Bt
zdD*5=Lv`+W>qz|$>a({ZPrPEs+lwo&%!{aj;WI0P|0_z&!*Pv9^aUq=gR`l~Bh-)@
zlbrIkn;NGk2MC5vabv^O?tsIFG*H?k7ga1lhp8BHe3=jP;TTEREv6wF2>E%YJgt@i
zfA}NFrO7IYbL{*L#j0qbm{LPZGnW}}#rl1`%O!%{GUI#B&C!9Wx|s6qAy!=GX7MpZ
zn}jV6-(pUUVt^v)+5;In9C$P47OOqG1pX^h9B?y_3EEkMvbVLkaNj!ZRck>hOeIbq
zoanR*u2FSc()jUUwNa(tC5L5jRb++W&6Dh)k+|t8FwTeT)C?q^w8&w_dkzCi_c-C~
zE3&(5k|3t{mfN8BRm4T6=PNZ`c;M7b`Gmp0%CryUyvl5(f;;}R@l9>!2d09gExKd>
ze9uoH`gjf*uP1Dkv26(h{pBYoR3!fGVdhD@Wo32TuOER3PI0JDPk5F}D}@yqN^U)D
z*1*)?<FDqEr9eXZ$E{!n8N4F3@Or^n3*T5tXMH^{3$Lcvk5oy^;mJ=&cGyR?F<qQD
z_a8eY5L6NV?|_2>{&s!9bWBqhUrul3o2w$juLvdW>Nq8Q^=Z23n5`aWGZk=9&ewo<
zpQin;)u>>e5dFrZyY%sYKhAoYk86Xy#;eEzZ!%soXrU^x*T)`g)+Z&7{`00QcK`7^
zsNt_>13U-l^)c-}_MhgAMxgIY^)*#g9Vbagoa^M)!w=ZvBo{^jTy@$^y(`tRO!BTz
zq#zx<cIM;-+FTPT{OJ6KnpFdLJbV#Yt)zuBSVzR0wag%QJ;oqbOapg57;cz4td32N
zZ%q}(nnS<R!qD23I<^f8B=c&j;JcO0c51N}aFxrkU(j70pJDJ(`E4tU|0+JdJ)y7%
z{4YM}%Scqir2BW0<$Ork^7MKAz5aVZ&z|wj>2NZR&pkY&_>>DzRz%#2bln3&bOnrF
zQ7ZUhXn*(AksZ`halL(kVh`M6lPPhjQ^a|zuV?DEzYwl$yWbd|wE%_H=IDpba=7A6
z{cL^#Eu61A@gU-rIk0537wf%}##!R+GOr>y;A}(qO`2shIJeGY?DawdI~4ABewW1y
zv*Mg5en^@D?*ZdJ#p_~NMp>Jp)m{)j1&@DQa5RO1&fZHw9|dr$RH5qGX<?Xaj54{B
zW&*0R<2-c9+*qb05ge06fhDbH*7~zCoLK&<L~p}}r}7#*EaJq#fNyJrUEdf?J%w}Z
zOzE(v=A=O~B?*i|sE+X#0_e;KrKNFhqO{kXBQ<O!@N%j(c`XPa;UKks%5x4`F#qoT
zxh)1-c{k{n2m-D%%8r%4iXleyqg&3_h=E_4zTAMP5j@5JDa^Ug684k~ToT8`;0_VN
z7<%6jq#oU?u$f*VRJpZSlBmUCyf3fiz>ERBGyV>D^eG^&t0%a)R21eddQZ@p8Gz{g
z+JR?bG%#JFF?sojC@>6MYfO8(8+;=9=?3;Pz>$bcRy!n7;4Y4Qen@UNY>O?C9=%|O
z;uH#@u)iX(=JB7zc$q%TnFTe@HL}7jKH+4_X%VnYa$Ds#(1-g@3*Jg^*x~7O+SiZg
zM1XtAB1fQK4~B;#3%hAJ0nC+yXX!-Y#au$1@dZ5?lP`=ZRpf#sW{RIV`l4Xt8?4GE
zp$D&W_;{}yaD&mFha(50M1jUeqeh`$7wV;At|ji~fi;{Xp))NCDeK<#u1UHuZ-2w&
zo)RypHycG*x`{zz-ihi6dtG4g&;B#V$p`dj787l!#o(OPhTUCJT@c>pHFsO$gRiyy
z#pjJl&=O3!r)WtB{65^RIoi$-hXsrtnPrlI=E?1bnob>{Ft4Yf$rFJ0ZhKW4S4fa1
zQbWJ?R0n#KsvfML7lb!6>XSRJ;xL$f>{85q9q6p`>&x0B1RgU^qZ=*aV3~I0<efwv
z$O-dJTM!b4G=q?uENux`dU=H1Bwhz5PQ4Z@SrP`B<%z1Nk0ih#x5x=6>p=Y?j+Ac`
zf#mm<gVUmt;L4%qNzT)O69P-`k_tp2Ri!h0FjW#h1!ea>uF?S$BCN73ObiNpk1eh-
zN`Zp%=W(MU9mtxn=ciI8fxE6!?xRpC=pDRHH$|xnIvXv~r|**>c*9p$c3ujk_77BC
z)6|7TzRRnLjN<T$5Le2wmxkLfU0;p{=z{qmZ)it|IGhPNypQx!8seR6KNh^ug~_5P
z$mNSTaG1*!y=Ibu^&50Q-F9>V3Re=2?3IB30RRC1{}h*bI8^Wd#*?BXWt+{6*~c29
zX3Q`%H!8_q(vBjfXfL#(qNq@$LM0I&p@p<+PqL=SmXtMGMD#_<@BIFKuIF6W`<(MU
zulsdJ435XgE*0RaPwvdki^VWX@il9@!GXEvH&Oa&0lsZgv74ML#`GJcXHV6+IJCoU
z%>0P}Wjl+9ET>8E#rH(~P#_nEAC_E7{~$oyY&Ch$776@3)8m|<a#3%;eR*7$042`F
zy>IFyc(hcr_R@47BDHQQbrSn$9_FS+$*hp9-14*3jR(Wr*Bie-65!nBQt{y|D}3(F
z`BNCpL$sTfk=F?Uj#Qi38qTnWf_Z$$#ydO=*wmi!oiD)j*WRmYcUr?$a`*1EMjoDZ
zEqrjbmyZ_DZhrGSYrLM%Skd>L2U^Km2bTkUoCwyKadnmyA#7j$b3;6o-+aAu<R1^4
zj=L|q6DEa2Y@FzM9}m0pO1cZT^I*Pzo8WG#6u;{oqBniu;m*)GQExpLNp87)hm~cR
z8{Nft^?--rG~53c&Eev-F72wBl?+4uSr^=5d0;BtDlUrVAjfI#sFtq`K^Y$}-uK`^
zWhhLQ*UZK>)d$w)2W8lsS)AWDgNNDUp2mlb*x=_I8_$lFp()!tK!y08f{VYLvktIe
zIy1J;@01LiI8UZI2XJw}Y+v`<Y$j|Y|MosQCc}=_(0^nVF05*5vPahGVpq>$LHRBj
z?v<YU)SAJ;sdjr!Q&R>!R4vxYJ!SCWo=W0caqzQoc5vWKIvR_XYYogI=4mynTUW)#
zikuO>jZ<~-`^lx6H)B#zMi$0s`>=6Ew6<N3PQxTu$2IlOrO2IlA}FJug@mG1t7(g<
zSWiK|@)0S9d`i049buvP!EDFo1PYP^w;K7%q?j3dV0{dgg_-N@`dUWFz{V<h=Pzq)
zT~fy1;>Sc3J?eAsJ~9#(1}_ZDw8jj}Zw=)ab#b0~&NhNdM$*yTQf&`wTyC^d{L;=q
zeSmV{hZ+)+vYtFXIKdk6@_~KQxeToSecV_%gM>k|-@n4IS>fxkI(3yqI!?v>Y4{dP
z!k;~JCe|*s!qxSyT8kCvI1$$0yx|lHU3Q6z><LzIlD3w29MC~etwp+X4hbKPIxi?*
zlOSx+H*Bqn4yuAPdV(8BnAS~SIc=E)bul58)>$;HFgTT1P9ww1j=?FOBmrrK(c}^j
z8WuRT&XH~-WAyXI%EUr3zDT!v7;Dmy>{WdHT|F6_oNKQsZ4kq~<NJlfZB+QE8A`L=
zD46n7I2KM9V^6lv`_gArTrs{d*wsiumv)I$P@N@SG4IrL7En=tgKAN}gNmB*%A(n)
zEfLs%ackjiD$c%HIGjqO;i(00X!a6IbeZ(i6-ue_+DzJ>`-X;?ThCqJP%I%Cm1dmi
zrQ(`KM72|*4us(&%eS<PAlkazaXNzre^OdNl^-2n#EKz71tQ#xyC5_5ros4By*R{%
zflgx^Ytv{E%nkoICElQ+OTn%o+&~wDlht-=uNNVdSv>M~rVd#DeV?pMX9E8;Mk4G*
z81K~kx+_cv&QV_mCaJQZwme_<-b{p~$)=A7|LCB7;pD?+vBWvj>Ds-6ErQ0Oz{L+D
z=@_2z(7Z{L4UY*IybGzsJpcI7bUFi-Dq+hcscblB#^ntW>+80E&R_C~f$5?@BLM;q
z#8aL6qB$a5ppHd_ZPtatX~t#mn;bZZOeQ|G5F!4@nCV3h6V5BcpMSIBV$y#V<7Lhw
zWPBb_jBaD%KgG?QhcCFeRD1AR*ESJ!Vt#oHd$90!jdYd!A|4*@qiis`Ai~#0LFKs*
zSg2pKM^UAm2Mx*VCl}s|FmmkDl@mNR)G4>FvgY$4Wjf#Gt6QQoBiAM;mW`t;sz+}Y
z@nIh}+#S8#5(_tzj*Jhpv1G^j(=QkTTpt;#+>~vJRWV&5Th?)KJn{;bgb1*(hkQsj
zK@3~-Jl6Bq9K;2`v0V8=fb~8+3ukXJe&;XVP&A8+!nS)=UE=~Qn<=Tue<8+{O&_-n
zoZ#Y@QQHm!13geq>bWj5m7u{@;y~%*f}@$^7%kJo{x{LB?=MJTG~r}_iHL{CNz$;p
z#QJ=_)`(U$E2zxQ%DocKL$c*og;ISzM6ne~ufwfi_BGSh_c0H4<3o|+F#%Sxx)hrG
zt#B+WOIAC;!_CM0nQHe0c%d`}i+rr1WVkB*3zd(c>}KX0Zvh<DK5k!7W{uI;mCjEr
z_z1a{u6VYe4}mb+bBYPU=kB7%H|2b6Su-bL(l$P(vkYoKMN5%Yzca^O%E$IaSGpxF
zJa`^_oo4?*icMQH_JtS|-#u|SrQC{#l=m}Yzi?&9YO4vJKb?;O$JgqYW4Z8st9>Hh
zo8WMGDWCa?hwWAE*6j@(aMT;FloNc`Es7t!k;%izhy0pG1_uXso!ne}LxxvJ&BR?^
zJlr@;?W!brsUCm1#QCKRdKVRI+EjViW$iiRdj<=%=tbJ`6*7c2y0?tnAkLX_X@YkX
z6Dy5|Y?@1C=o8iJUvc8%VfSfvbcilI*h(Hx3uRF6?5f-PnS&F3r&SaT7?>oSuz2!W
z8FEi<{Pk}e2gzymBiH(LK>jt~K7NY~4yGB=17mC)p0Pghay1PtG5hBFTg#xdF7jMw
z6dPrOqaLQ^RN~(LPDxQ9_)qur^_|HE$ER$dy`6$NLjtnXV=4My<j?<<%)-;@qqdi6
z6f7N*2A$p`Me?DRS%rEm<X=Cu<JML(P8J!PAJUg%E&X%otZhszj_y0t(MCc;&xkVj
zy){nT8GIEd>%z<HR`sQwB%CbR<r@@k4ddZASGH9%@MAbGW1K~TT5`gF3-zs$F!c;=
zi#h}9had0g>CuMgP}Y{1Dl7cl^Yv}aS~~11R<B@HYJ+#?R_gDaR*0Q!xvBMu4#sK*
zj67d!gZa7I9#kuYgipNZV5S2V{&8n<i#Ap+RsXB<Sb|sT#pyc;Ud8%X9t=|^VY+gh
z_qX*DIM3o*)!NXId7oVIeE|tE?S*|oY7%s%sQ!N3K}EOL$cHt_Bs9){|4Hqh7{7eN
zGW^a{@l5H^&nFYe$Vgo9Wxl@{VuwMsT5l>U8%E!;LdlptD*fLfk{CChB}|!ONrk~z
zRozPyDL7noyw0r5lJJ5xpS##peC%D;zay1`_Xmz96-8JgZN^!?J%fsM^_#*w=Ti~8
z{#Sd5)Dn&(8J7kOs3<i$aM<}D6|2q^=`{Zpq5jdaq-=XCJf6>dHT5M8e+O<z@mvJi
z3Tu1j9xCEOE)DEGuY<!u$FEL{6@eT5;rt{bFYFB^X=8ioV00c#xa=jub^jaM{}gHX
zaYw1CWg`PY*X{*um@C5Xe?^q+bu>(5+o`W0d?P(&*Zt=jB0L!Rv^<f>l@}$ljN|@H
zY?rJ5Vf;@BH&$7Zy|WIwMuww=5*AcPd%IfNgt+H4yjj$sgJH)F{p((`;Hjt<w&}eP
zidMOoUv8sgnR3>8O%FDF{S;I5-wKg^aBqZ^!~j#;_;G6|8!e8>e?y4<ZfU#TSG{83
zQ%YLbz7P)jW7mJa-7ZAq`^MGLM|5$nAm^WkDi;oZeFLVWLfq0c>t5!_#QObv-gI8%
z;+lW!Ekl|J@2r?F4@_s_*0TOxA*MV8Z~BS`I}vWbDTq=GCA@_kH=Fa22c3d9=RJZ&
zSnb`hE2x_VpJkiWXV~$P!JX)xRw%-k(HrENWo#_`xa@`9Gd}8Wo4Ta@5h3nj^a}mg
zY>=Yg>t~1rAosMT{d2TLUBr?QcL@hWOZ@7_(gc{MY@D_%(-H?~W-8Cj;b7%9%la7v
zKabcjD<&$7LCc#ho<ZiKpzc9l#sWRG8`)0L-zLV~IqK&-!?<{m@?%lTK|Q$a9&)(b
zDu(k%J1<&07az3D5){()@Pb#nFvvp!1UIfSmh<3fe>u$Xx*kT>1Z0(0ND#6$<4E#p
z9v)nuoc}UI4|Bd=>DRNj!pis!@4h$lU_hDEJQSgad9MmH@}F8^Sju1Ug5Y*G^<bPI
zF;Bkh0m)X0HSQbt27g$@hrUkc9QOeMj4oJy54cWnz}$X5dkY`kv!?zyA0<F?YW#&u
zx>8IIwW%pQ#3$}Gqy6C|0a{WW#yL?^XpU=&MvwCGbuCR)Lp(R;`gX*iLkbsWqtyk%
z@1^^#Qi5OcaK>zvs;)=|&doKO&-(Ilt&d{zT%Cu%j&G0V9FQTU<b#E|gm|9qPNBPV
z@v`Sp(yJmFOpx+=@<cvJ7ES#O!rNae*tk9YEJMC1y?&7Je7n1!R_`ii!~J94R>?mZ
zmfT+?=Lhg0IeKKxUBZ8VEX%rKs47RM#lV{1Dm-kQ&VJ=)z(UEj+S!fM<T!tU5jvF4
z#ob;vkLy*sAV)@@diPg`ji)b9tug1KH}<@~>Kfww8qCjcYm*__DL2FMAqQXb=<&`I
z>G<@mNcG<X83vU<3QcV|cr%axmideZ4MxpJS&R%G6Q|FzdCtZ!w<7X_OH>Sn7an`(
zB15Ia{7IJc*!Yp5vL-Wy0uxr7+n|aJk9kcAw}|_;);;OPvb$u2z8ksONN|2#<!<S0
z2Nvw!F2DJ5h=jdoy-yZykwPm|Lgu6~;X~#bJX=BnCGV7THbsh8MS4rr@93g)YrJE2
zjW+&<9RF1E$Qs?v{u(Zg3}`Q2sTs0G8&O_QmZ`0?#?!+s!&j#;Fn0I)w0?bUY`B&E
zb%UZcT1M7RxVV6h=^Gbo=8S70efM`-_7y8=q%ZsuNciZ}i=T4%{aQ%beCJ}EofUFv
zVWTR)X!vK`n%ee93mY;ygB9%(%w0W_YvD`7(CoBn0lL~~y=OA--w_Gk4N`6gby9Kh
zW08)>GHvV${&k>0PlB_>n=CZ;QsHQO_xSQmZPZ_3MQp1O<CBWw^(6#{?JI63EhKWm
z&siDQcZ!iW@k!RaW(utT$|JP*lVGo*SNfSDMrNwUnU*XHTH{U{S5GA4Wu~)WSGgrh
z6s;{L9wqkAbXQ1ECgbw=QfAeDOR%+6r$vQO&|x(@^qnmQhH<Q74|9S8gGTyh`zdg*
z+!S6sO2L+^yE8U_6Jf#5X~V^*h&)JL)>8VEisd;{+dbDr$UEQe+Ig1(`=M=5{Ld1-
z?DmUC4O>Mp7_drN+E2j&HEGh+eL7ed+FLv<7GX5NRd`oI1&3BKixEgi^^j_(R7Hf^
zZN0<S6RFsId6VtG00w+cn6WiJ6I`8u|J4(@;uGe#r+=p|>~Fheetsl`wFxckX$TGa
zJ0q*9(M;r*A4;NS2ys49eMP^54)$wo@fQ(Ze9+N*h4CpN#*FtZ`#|K4&8>O#6<=8R
zkTQEmRFn|^t^FWxm(wxxp>WVVoQ>VD{&goE5n}p1Czi`EIu=<!Zu&$cdi2moYUyzy
z0<z-t?F$%~OTRIB=^YMKmNfi6kSfH{6s}&~L0ve>`(G{b;Nog`XN<-jA$T6fb#)$0
z3@IJ8+4hr*#O7-aHO)e}9@wWfM)XkKhuY36F+8Zh<&6&#-{EuH>%FT^vJm8(q2t2j
zgLS<5cIrIB^C$cx<tVa&=azrw<`Z1Gxj|fhOoTI^jL!G&W8=fO!Pl{K1kgX-SG%TO
zg#H=!E)#~>h&TUxYW%tYxl_J4Dw$cL*;+&CdJyqG)p<o)x_Yon`V%&f=xZ7&-ICM}
z4mM_g9CF#OhaAI-S3Z9&v3SML`|iuRu#JeCFD%u=s=jFv8wk#8mTsA9`-+PdnZXOT
zjqAa0L=Y_K6=PK*?_w2^Ti+e((;J!kcqe~#-#9>m;Lz3?Zt*;Hj<9Vm>*=F2#U`}!
zs{|_>CX-m*JjgEwl=y1vBWQB9jbNJ<)I}QnOmjYz3l1Ni{{U7%slP=J&Ht75=?_|=
zHp@!py`4|wx8AiWX?h^NO%(jM+Zw;UgT03?^Ks{#T?Rv{hrI_)e+3R$W5PMr54O+w
zAbZ9~Tzevb?z_I%@{Lk7#7wI6ttB}8OOG38EWlo}<e5^P6budC)5pa6{;AfsZio4(
z&vPoM70U1+f7@sE7knIL7R0HR@}O(<{@&Pe8Ei%S+Je&gaEyMWwDKPp(pjm+>~}J}
zYdq*~L-c`1j>@4NLoVu1?k=+-IQ;PZYIS!LKGw6ertEX&p!|N}_J<a7L>{^>C?I-5
zQ`yqgy*t>rNM6^z#7T~sH%?1lhVdX+I<!&aEDM3JgZuQC%E5^`9l|2<@M9Lq`+Wox
z%%$YSTP|{3c<?3ZIKlZ<tm~PlyBKgxeowk3mP6=T^6jgDi#N&le)bdIT0x!K%p=Qj
zc}7}@Fq7c?0c~02Fbx^156$O(k-=hRZTea!2d4gGXR7n4Fpbx6Gs>4CZPISP<!9N5
zh}e+ee1w9p(lQ6{O@z;{iF4{xV-xdcFFkgEjCY=k+l_T)I6_j%Z$8RG|2)+KGs0Kr
zPF;Gar%Z~-z*QP~iY!z-?l>ZE(uR|#>D~|9rMRPcw)~Vb6O}*OOes=r1WCVM5^G8E
z_U4cEZ!~lvaa}a|+EXo<6pZ&X3alZkwO?go#DLoZ<^Rt3Ye8+{L#0?(Ypfef2oGFL
zhkt`m3_~qk2ov?}?zKYK+VV5Q(K?v<^8TLRDq84CQdiA6LioJS`^aB!|Ns4urHm<Q
zp=;D?LXWN$hT1i2Elp_H@RQqmiLQnGX6b(|_avC~NWIWMl?szRxgEBPw9u!Qd7JGi
zLEA3U>Mp{Q|7Vb~!#`FF+FF-PF(}3p$6?XnEed*E4t3{uYoSuwH2H3#7!%$k+|F7>
zK~#cDdzXhcKGpGq|B1wCpCH^bN~Rz+DF5tutv1d*+Px&=qa|1hrH`w+$%u~9H=eP9
zgip6rr~P-#61$3Aw1>*bVDD{@a#kTj*m?I@lh6{sr~7>|drC&NYEH$BN5pgf@$W-=
zL`XL1SZz)0SMk@acospyuVwd7cBK)1&e_Z;?<6BaoE+ZaLB*SQb?Qggh%mId-1dYf
z1<Vw7*_e=q6(a>_A2UTDDLq(hw1k2yXCs5o=;^@O_ten;x`pt@=t{Q?3TW<(jk5)G
zC_VaSnNlQ#wB@A9B_%52BmQ2nGiM<9VCEn42_c$y7nI!&rJ}K;@C(mT7h0Z6w|?3v
z1gX-i$KWp&6~52orV@Q_y4{GzCTAfIb>Ddv8Bg>Ai#Em|R~C%kawpA_2(jJps{T9+
z9bB@|v}yXrf_AV=Q@W`TJ9n<VSl*$7we!EEwx49fWzECkc_u=1=-f68$e^Q%SG&#B
zoP$VTrfrN+h-0&kI4#=Fzy>E*WD&i4$5dBp$3h|0Y-5x6EYiiqn*5g&!U><vJeYca
zy$}-WE%Iv<CYl#7d3I00!zJe2=^IZ9(f{AXN4wNm_-XAx*DmKl_0R=xizh;yINZ~k
z9?io27_%zsW<G9A^%-{fC&bFI%RHqiY*_WJmM0SasX@xVdDmWq)}pWH5{|K<v9#_A
z?Ti2edC{JJsUj@jN=l-uaG*cuxPmrK4-00aRbfnooqk<zF2^}=Z_4m{9j}KIdxPuM
z{4Mc4^Kk7g6)x`8kERFy)<Z?bk>IjMOX#imaHk-Oi({b*<)Vf9m@u@QWacTx-^owj
zUi{0&rhw|vh{O80;rTuPSECr&rY`)vAc9u~E81H!_2Ibjn<T<l0{6t}%BpodY!Nu$
z66fi|<Q(tp_)iJu-Q*tsGMkV7{KfI(XZ2zEs3L4xxD`6nJm2ppd^^&8s{fqz`WWhw
z{FKeG#^Jnm-*sQ|(R0(!{<M}p_62IyEljb-`te0hZo_==P6^+oT-Af?bj$c*wiE_w
zPd8T51laTLxAs-K9^68lmNleFvEjFzlWHVDyYUZNeTV=BCBsusY0Gf@TN{O9Nc5lf
zn)#GRd{hnSR4E*kVZ6X`=#RDldJ*Y&#`<{3iHW?lv_Xc^XXOq4eSF||n)L+@9$rR?
zDcW2)Y_)23v=s3%X<ENmAi?=H$ueb&HF9+C3yoV4#7Aa<tE!SU2UmYpe$$AO<3r*{
zw{}h9e}_9<`RB++k9ywB=nHb(d1-OME|-Te$9a0Uy;z{^bBd|GBFAhe^F)y)(E}}1
zGnf6;MSfKnJMp|6UO$$rJ-)|9U;fVrZ$%7D`kd=|Crpl_0lM`t;q!W2llW4?cOFz}
zk%N}W!K=#Mp>~ynx4Tbg{-n{6{*9cW&XI$A{<Nl{HU~;I>I&tLD8%{Rr@|n52ji!W
z<GMp^tdBNx%0EhmPpOhjGf4)8n9ce(`&j5T?b_A0hXnt|>N9(6WzeSVU))Q~Jt?oQ
z=J^S2@OP!F7I#Yl%`G1{USXoY`0AhDQZ1axU%ztUQ7LS~z2>MS=)%ux<`hqY&lTA%
z#XcM<v<qFmWN{4S#r`=Ee_a!OXZ(2P_pLG0WD;MHOvex}SgXNP6F=2m7L*g5kBLt(
zjkv7?Bb)YdYh6u@cwDmA?I67UbpFD^HX1zs1{xMCYQoa%`1Xk*R(QSKd2J1chP;tZ
zla-S-Q9KZtDO9z>ich<;)AmsDB(i$GAzKr($l6wZmn8@nt=7x=NaUPSYOLQ<O`Ngr
zQ{h-j@HqDUCON_FPI{s|AWaiq_qOc)-y1P_3j7a8zL6ng>MtpopoPe&#~Zx^#i)OD
z?$F-TWQ?b~+lzN=;cInsZ<&f1ZD&gVC_0moHQE-OKc)rejUE+OaxGEC(uwZVAtOh{
z<hU$J8;`rqYg`sv;`84B>5ly)!AfZFVQ53bU5~~0W)b)OM2I}_Bhi<1V)lmCjgfFN
z>Y?)G91)&-G8*PhAY*x53H3=S8S+7wQ&YV}cyM1kw246m-`O=ejNtTF>pgX^Ng|Zm
z=udNSA!B%a(e0u*Dm-jMIren~&t0Z`6Q3e-W$)H{)fgId-n}}~dtQh&)L5Qp7a4ww
zL#lZRI+zhO=OCNl;gokxk@KA?2+WABJe@<wV8GNcFOd-Uv~IWNz9e!X%00iPnt_rJ
zm&jCgAriw%J&atbn07NMPBf8;^X|!Yl>>7@yUwZc?4e@ia!%7O77GSt_7DGln2W}q
z!K^z8G^m(VcWfYfr1~|(d9&WkMOA01_j6|*nCX08VYihH*G1dQ+A8K^fpG8L_ar)Y
z@IJ;HFgUn7|B+|LySWHI_I1qU2OX2Ne(+VQI0)tirw(?^#c(9~VcS~<a+FRMrVyOJ
zIw6DMsvv|#)m)9H=eh`dbKl9+f(L_U>I$xb5asXoJSch0#M#R?>03K^pcl^>s#+}s
z-$KBQUB|)=%^w|gr}*$0YwbuP`oflL0S=RTSXggb+Bruoz_?)g*-KxD+<{BGknq2I
zy=7Ad>jm)nd}BoiM0mvMP5v>)2J3!}8aC@8S7*@DB$HTIXgE@Kl!H6F=;5TFddNO{
ztW-tY68&dpdO@9w(}Leap1%6nIhqvoJkAoYUC!USc$V<_MLjc`p6bJ%8_>N}OAOoV
zE%Vf=JoNg18ap|~051xPhPGT5LpghFJS%~RXroiV&dxDFf%(1Z8|O-3*OHLtGntPE
zDZWmjb_SrHU8~|yB|+f*&l(nid@LU}6bmg3&}_9Ott!9@Pxj<GvP$@v#t#qNH_-q(
zZ%>l<OtwbIyg^+%bpf3A&OG$^hCV{S&+v-9XpN8aq87I~3UFdx_Vd*;eW)$XRdg|z
zV%(wm>!Do&gkJKcq~+@2MwtD~@5NHk_xZ+*L<=yR`81*IuK-1^uV_zYG89G{91lHC
zc)xqwoJn&9*r;uhu;P{shHaIP(}+CSVLY>5?#YLyzr*Nxk{mmOClwxa7a+KBphw-G
zhkWKpb#;IoF9KDnlSl#_8GkkLKmZrI^eJA?a^%R|VLY{^l#jfrBO!O!bMS1wE$2al
z9L2k*`sM}jVN1z<Kjh6u`Rqx4QNQF!QPMAdG|Iz{iHn*H*07L>q$PoW<T&8eHcjIo
z53<5NxKEs~U>dKI+b@TW@@h`&5Epcx!cS@)bl_U&+9!2#l<)Tn2=^oAkYB&>gRO&}
z=*#gJh<Wa9Ypn39;9z&<0_KTBRCLWyqB?AsV=ik*q1BXwrq8AQ`BN##G>B$wF_I(i
zi)5<%DK=J43YL}JBSFQpXv4E68LplC9o05K%;%kLuac+@e;?kB-{CS$Ii6~h=*dD1
z>C1mv=d@tV)LoIolwqFXiOlu;nFzf$A*ZiI6DPfXX05v`h1)ERrx~8Q;EX9mMl&?=
ze*gdg|Nj)1c{o&WAI6n^XNH-v8^$ciIx}`|{mNDmN(f1aBuSBqR$Elc5{eQ<p=66z
zm8DWqXc3jA(ng9bS>Ad7J=gbou5+H}IiLG;SA{rOC9Jf<3{yuj&sqh;HeGpzc?1+w
zpRHfpXNhh3`!*$Um7!IWXenn&Kw-Lf)Soa*l=-H=2b8d$Ak=zlK^FEi`vUx?Eg)Su
zZpQIdgtgo3wg&^UIDgOK>#jr#2wxj_jybM?)|k-hHG{H9JK5heN3=jql<&-=E(+$o
zMqeoK)|r?$x?Xs}9KL1|TP_(;P$-u7N|H^0uk}C6DI;^lDBAhBULZrS#hY*A0RpOr
z7uzN^n_;@@Q~x^_89V;`XR&X9fQMznZ(6*~&=oKeWYkK630)y{u@@1=8BcO)e@wx&
z>}#OyAz^u|xN7?V5wGifgM?0)LMFvjdfQSGR7R~f{E3%CYKY9}Q$16hHCWnqON|7|
zPM24ey7KsRfHB$q(gf$T#SN-uNho?i?Tq>^kEo(ww()ySkTr6wZ-PvM)bevaPj8Yi
z)>Y`L$udFP6&Pt5kziwxv^O}9jFW^r!?a#5CUz-i4Q(JHY0bXZi;hyzy;sfab0!x}
zG5f1~&Xd3`Q@9qAqJS>VLxt_`T+C#?xqW?{1Xf2QBREG9ab!DBX9X^%D*KB_>&fVe
z4)}VjP6=K7LK|Lv;vgtLH|$0y89oyu6Qm(!gr{Hh7--<2%`WpW{3vivdtb({t_r0$
zajk!{IMDX0<ao_c@NntOmye-pXy^a><J2AwF7bQN&y^@Z%{EOV)L$KC-ruF1LpTs-
zj}4y>QiS&U-%W31skn7|>FW9o97Njnm%lbv0%Jk`#{NfCv{uP>Zr;d2pNoaWd0Ax~
zuj^d2<*)`)S^C63;k@~iG%2HbWt7#e%inCP34<Sp+<zu;pw#eTPtKGI3Qqr_2ri-_
zIjUo}|1t+F#P(E{EU2RN@Ncz*MjF(cM?0K*IEcEwPIX2^9X78WqTj`7;qf&0!&x#H
zukWQi8_HHk{}@;I3YQLjBHe@%z=eTu_LFob6{3m!Uu}o!=m{^{_PK$JtJ0N`&u>#P
z{daWPr4tOu=QE9FRZZ~ZO28LuHx1ae-!nYTVxp0cVM92{JKxCAH*Q}v@H0Bp?|c;#
z2^EIkdD5ovbF5Tfu}2fvBUD!EGg#<YnIl}AYl?+sdYu-cG*kxqgj618VNa+aA4|^+
z^H$Tcgi|z7MDP8mYGUC^e%T@4HZyciIY{Iav>-WNeVFitH{ViU?-^l^Z8vYO%uCh+
z6xE*7hFO?DyW9C8*#f1TQkFH3X<^^y`%_<<S#Ud9tn>T61!zZz)n8Z85oA$xM{hq1
zuQfa#{oP`T$tY2ysZ2Un3+yaxCbCd=*>6#uv=v_Dx4c$rqvK}qTFqlenDDT2Jta_K
zg_J0-)9pX#cx>1%lhDb4jhj|htBp16Rh(aqP0_KiG;u`>KLeY_aD&urjiIEZlCBXt
zmMa{c3{{}xPfn+guelBO{%Nyud`^d%3t4=Ff)?x=>1{FjHuz|jns)It9kt3QmKpN)
z>C(*;^^bqppr>!f<st9=hkSR~w~T1uj8!u25)qKwS9D|QyB6;F4&EVkP?5GH#?+Ax
zm@BnUitW*Y|G(jquT|<08`S)?Q4a{pTQs9IMZ;u&(^ow+HBbjqcH8R$>8EilGlYhQ
zF6+Zpnkr!QE-pT*4)iUYZjgAc36bPW4_7TwLR0!L+pprl$?C`+V;xN#O8711=%av7
zS;W{w?`<%~zj~(OkOqEimk6}3C1b^^vysB5ZJ_khztG|}6~7KxoYJu%;pS%Z_iq2$
zz|l(gr-2R??$@@=o*tFM!^Y(oTt8Xk`(4YBj|bF|tDm3N`jUw7_RWR8@z%Jqn0BzN
zMh(7egc`;N2}n$cy;dP>jeNz{p!yxESo_s+bsCj`OM2mXp69F(AF(cbipP1sWR>CI
z6j^v(TYBG~WrdivJAY3pDPw4MUT}`W<8$wWq+6AiIPiFPN2|CJUY|*_&3q<<t#YcP
zZCp#NIDSiVURn`Pwp8W>7Rw-ObxldwZ412AdK&(Or2w&rmLIiwGB7*0OJwU(3lzB=
z_L%pg;KIrZjlUH#m|yd1*TKi;DDSIQQ7R<kcIA@mkKV~(ZKu~qdpC1@JuPFmVS$7_
zE}6$=G-M%_C9Z1UXNG{UJ^GzHN$~x7J$fQu7V;TOrvGj+L&npOLu(e1py}YW>(eh;
zlm@Q*_~4%@UiJz%UnrJ`+A-gxjA#NLCkGfxrkf&V>+N5Ge)14(st_EPBBC;MBh`p$
z3ehynjT}9BEH-};V$wi_wyCY-(Iyjw%6pezBFe*_I^6wmryR_7`1fxOGC}iv&K^f8
zdAxeGu4##_JR;W!-7pk4LAfaVcBP6uN^H-M>8p~^EZp_UsE&(cl%?f6d2@x=Uo>72
zC*!6_xbO2|E@tW3*V(bW{J8Hg9VJSETkxFeW)&_Dk7w)TG|3}(P%Jiwtbnjw>i1wC
z-<*4Exz3s-tQe4+65}djZH0=JbpZ#(p55CevPc*f+TU^`PzfOduFAoo9DE<Jdyu9;
zMt&5*e^-$*gkFT``de~v-)*n%(MmGzrhGs0cT5GcCjX>wkU7wwK795z@4V&=Sk&7t
zYWOBS?mqvIjS+g*olZFgh+BRZ;P+EUjm4#*7hl=X{jsfed%ptm{w+B4D^jt&{`AkT
zel|AkPq$OMrwISx6=`?-s9+_YT(~yG#`te$|H=v_B=BGUcJZPHj~`|3Qh(S`Xse*1
zOc@4we=GeWHR1iXWj<GugMY#IcS+T&Kq(`^Z<7rT&W!=Xf7u+Ax5v1ge5r~<nJc%v
zmDIv$xWoF}yzkw?s-vu*Rzu18AN!B?XhE&iNhZ9U1J#|Y{;kbY$GzECl#ds9{8?Bi
z4xi(|AUHMC*ocao15QT<HZia$)h2D)hl{10)-HjUR7lo2W?L#UaZ{_Ng4D*v^!kPv
z*C-9NJ(PD?{(y;ZaaAhG_9mb=UWp2k(}c6^WRi?03wbKOS&c7DaK!kOrhhf>d4-8(
z@@p2(6-efGhnV7nW2(7=GY!oL`$dmiYGb-1`oK<cGmLAP5S9<n5c=fkO|8S)5SuM}
z)^o!Q!V>L|BEq#W-l0J+DbdD<Q1XV(FmtdL(j%mPYQa|^)o0?8HZDnQm}{U}ploW7
z)k!}(zNy+AzY(vE$K}W36F*qsVE>(UvG?c@b)m_fSfUMLi=pAi980)lRjrPcWZ(ml
zZnV6bg{H?9(Ppc7+^C9^*lfpuqgb8bcNrG`6`1e+J!J*QI7_dKAq;HkJ$L=H0~6Q&
zIgK62vBu!P-A><kFhKI%xb~YL0~F?)wp^wS#PULY_Xje-UG(5g=Q=v5`njH7mu&FI
z-u9fO6$4k?U;6Db<MI1i$!wJ{u*vAift)#BPW1$3xrotVyUdj+Xb6Puw=O<^i4LE^
z-YJV08aTf>p{&puxKgBe^OqSNpIByE<SZ&;AI5tH_yg*yhl~mvw9pf_N^_f!I$|c9
zr=o*_w6jlb44Axp?5-%^=B<j+|GEWzHuC0I?iAUaOvB>mtuIUzl#wJmYx2w$SX?ot
zX4R(&KJ^D9rE?0HV4feVH3gnZ*R8tE(!`o&%X5vSC@}56u1X~X$6PCdK5y5+g-psP
z2Nx0&9mAiv_uAlq_KmcHS}L4{!Wxe}l*6}ssUf{_HZTyu<LnuAQ1!e{^n?*1^XS`E
zVR;+eG_SW?x|HWLPDfk%><K7c`MKz0ku~n?>!#<ZsA22*wR~b8vdEmAAF|W6##O$G
zA$pSvMow1+if76|n(s=*@HHzuQH#6lx>p&$rd;pv&r9QlLdGW;SmA!y^Haskm9SIw
zedKP2G{`K)<vCX^L7AE~RMAqz5&iy^o%vGWYYe_9qHBqnn0jkdB?Sb!^3@#jmcj|{
zMESwX7LY8WJzQW?FiYEJX1h)b{qm3XpEE45ZWDi}q6-->WhyS=xD@6S6CdW5n4{y(
z;|+bsNLXr}w8Cyi3j4oW>P556akb`k*1Avf*kC`eb}L&NnqLcIK313^-7DBJaIHL!
zY}i40t1p8l#l-mK95Yz+_fYHl<Z$t9z@tB<GT{IETUe;k6t6qQ-3R03aBK`cJ{(zS
z7f(6vaW+NhjwjC|IC5w>I~yq7C5zxx+qv<NJZ^t_GT6;8hwgLD=T;mc;JJ~ZKue4X
zRxS+>IW|m0V4S_-iRDB%i0ai_5>22V!RIeKNW}f5gtuvAIk0@GKQC8vVbOcQedsq4
z^zf8Rnlo}(E)m(V(Tj_VW%C;{cyj^&4Ln}^Qyw1!q@?Z$aADd~Os-!o2d&%M(l%ox
zygoEfSE}P6$s^EyI$sVB8Nvf%LKJiz*LXX?^JI?@a;4aU94;76KK!bqfJjZLyN7i-
z=uw`$T^1z|p92lTLYov(8?ebd<~JK-?xPkL|H-4xlU5j0rUd4qO&+$5Y;5$9A-80c
zFxtAhn=7aSky^?1k=bmJQ&L1fEF*(HF_R;?T@}+;?bR>rVncNIHM={46l^p8wj=4g
z8VE5T#$x^0u-`xvroE-WBkJ#9#4UA151M|v?8?Rq$@$Tyy9x+zY_yL_rlR)iK<*D0
zHbht_oJ{Hz;g>DjChDVs`M%jUes4CkRb9kJ?kb^VJl<V~qX~g`O$N2w*$}GVbVc`#
zGD^<G7ElQ^nAR#*H)rzJU(-52!>0<r{&BCEF&e(KcUb;uVWaykRi9$22G^22{h<ym
zq!M;j{SfBhkeo!`Un_Mi5xrd1Rzb&E*XUV$PhQ@gtE;g2qz*Q}U4Tjg1B90>iRgL`
zLKhuxzMjtO1-G9YtZ`?;|BCMK8YUN^3+M9QT5CW+zRGZ)91BO&jNSPzbMbV^E4jry
z9~HFvr3s$5uQ+M+g3rtZiTv5_MrSo)u~~K(pPx1?p5=M`du@Ua<C0uGdm3WzNBkS_
z)#mwZ&B^;mOd;^Hc5vSh8Whe&On6!9z+=gf(?u&YWX*ngAD*HGXC>0pk{BI))L|!Y
z=QBs?-E%G4N^}^!et)g=s19tyR-^?!F~`##gpH31=s46AcqnU!4(@3>oVLxefUH_^
zzn?76%RRSuRp{zK=K9wT&tOaVtyKJ>wVi>MJwrZP_1frd;{R02<HNMg8SjjG2K>_k
zkH^bv<E}rgRN#*lgle2#?-^$B`eXZ&mv$^bhFxoW*&1GpY`^QwGqCJ^n&}G{CPbU>
zW{0`hz#_L~EOm+jm54`+FLM}pV8WjN+iwHr+VVZD*9`2;aT|F&uZ21{U!f_UpZ}@<
ztYV+XK$_I%!OSWeGT6^|pWyM_UpzRjcPRtqv6bXWPff)6X=h3&01Aa{gJUo080bu2
zn46~JWzOmg#%F;uE=DfdyuQGnbwzwzzB)=MIyvf>fI*omhnh+)>~snL+?J_|ZI2S&
zyo-Q{b5l<If?D`A4-s7{WpE=YS=E`q!1?^2y(?&l*`0Sr?YaUYN_X{{?*%4xryFaN
zdHi=Wv-3+J<3~xh9^DgoC$dp_?yd$3Ca=!0)8(<d`NZveynf-+T`<r0n~Jv%!z(Jf
zi105Ie0zDE=l^V5<JUAQUKba%cDNHD6tINqdc+2`fkCTQdaI+SEyi<Bg6Fq_p>Z$7
zY;dqA_)jHE4d*ZWxF4LA#-l|6zN?Q~!|dgBlyQX$z8Q5s4Rn-(%M*i`S^;Yu$m%Y-
zxKtVUL)U&hJ}m+MAjbF7y;e}Uc2l_bha!4@`rTs-N<iav(tlaMEa6xy5-5080Uc9L
zN-lxoDD%%Cmj_y6_x);tn@JR0R2it7k`hOT;HsrR-dLbAX)0E7FBxBYw@uW{iQ)6m
zy-udH1-@v<#}+1&5JM8B7P7>VEW2M>rr8{}*QVaoSIQ$c+UG__nmF=Zj5ixun?pKE
zx5x3199kcJU@oCb;40;$n#fHv#HjwZkmhkxM^a!}-+%-{R@|_kG&Mu9(5kxAEks-r
zCDA`VlZ0WRD#!DdDP(GxmF^xyqz71%IUl5;bAnqCYs<@pWh<2n=LyhCk2vQbCIdHl
zj(BmK3Bn=|9qhhK0Da@)SByFt><^{gSN1l+m(wb?cG(2HJ#k|2+74N0v0QDKKe_O8
z&^LAA<pi0;-j!=Zz<-^DV2K1SW;R*&u1h8$#G&|cmogE`rW@81G`KKi%#Xh+Bw+bu
zrojO*IV`JpvQBQ|U{`%JVQmKi$Fia#-;2m2Zoa?n!B!5Of+&6AL?SG{2??&Ekf8SB
zeVD2e2bijG>DWSq>6gv3W@co_Zojx`Q3o5a$(^uzMTEeuzKsf7DM$#YaP3WH^ZXz}
zCuOZ17UnIxy?FQbJM+y`9Uh0*?3dqiYFG|A`3F=yMU}AGm>e9d$c9VNoy=t?csau9
z33T1b^9ABqy3dF)+~NeS(;Z2eZSd%F|E+?ki!Ba&+l;aHp2y1|G8vCnd~jTHSPe2e
zMLmvI8AEhw$jPfyWQ-5(oYKiqhqF|V<f>w0D2?Y@FZ)Tso!>exJHn};P<wqc3yqQ8
zGrIlDxB`+WihHlSXaE|WgO+8+7><6uoh_||3-OZA22C|V^*l15^S~HHIz2zzLK$T7
zg6L8P4UNq6#ZF(0(Jh?4$vjpCF$T`pIf`1yT{)t9K#7eMKKqHe7FGNmcoDopijH5&
z%fd=Gu<_eH>u{y4IvyN662w@<K&r-ucPTY&wCBvrn761Sl&~ye-zWnoN~$AU6**`>
z)TJ@Bp9&!j<G5|zOh}sh)pwlYpyG1;q`s8~CQdGj&%DaQhBG-!+LgI*IkITG>#PQJ
z+@HS_h}Ono$KBm0>$y0t9<)T~mL?i@)yr?C>p&nTY%GS?D@R&heOMJk!_#{w%nfhq
zVEq}XjXoNth-iJ&@o$M1hOfl@DAmzLUuWNq!#_=-?NnQ8*sFyD=F<G@cIiTL^}3W3
zO=h@ypxd@Ko{oztTNhcK(uHV*byaM!IeJyp7wZrhkUDb9*Dzies^yQ@=A~F5bk*Au
z!wd%ObUQg_TwUy<vG3iCu*9V<i3f*yJnxsd^YvZ54t9U9v*)^5q44aerHU&P%qOC^
zf`xPt&S`$i<oTzXvSEHeG86w%KPHl>+6YoFT2ne@jT7Nh@9i!yu_yAImzpFCtWn7%
z!D<`O#$B_v<}*<mdP3+}2LmPf8HW;efQwQ|v(~XpeE2<4F}s5fGCg=};dbDL%G6Rm
zE)%BbpC_>AXz<BPX-F;s@*~<;wRJHNY(BbBv|AJFLzIq2wF7VWFFlsLj)8Gaa@*Sx
zDvq819-uZ1IDaj9^Qw`KrG9)S^C9YZE_^EN$r#{~#7+4|q{DMW#ry7i6{uc*cZ>ED
zsK^Z;4O*jxVwplMeS#A9y&spfc*pA<rrPCti8Ne%bG-R#3<Uu!#tq*)z`3G*!T(ig
zLg-78Rvwvzf0eBrLRmmVL1bU%GYxE`thnnnNkn978sWhvAnt%^=Fm4P+S@&^oKqmc
zjOeIO;qAkC@voRGB2<X{x81)bUIu6CT%zaR*kD`0Bf-Vm>Ub-7Jo1o}6x?kVKg)Hq
zK}~bcL8~HF)UG^RpeZK-`KHn2&}M7woOl<1oL>bwY3-@o-Nf*zMCr=`V{5qCq@|SY
zR)WpWId}b85nMcWKfk!Z3PWA0A$tTBQBOK`FiThjXLoiTcNVe2t9DCIjdBW{^?cv8
zZxP1UpM{3Ck(Q7NQr@J#jhBC`!`Fl=3u8Uw-o~zX7Vzl1`oni62_e5!R%Q}~!T6@0
z5p8b)Mc2VedwY32y?raj+d&wIR*W`S)tbZV%Bsmvesb7zgRWm+EezkN^}EZo%;B=X
z!DI9k5qHOpDoR{L5Wa@)&CE5!-8M7h4+8}J%FI}=P8LOq=`IN|88cXIPyH?EOhAMZ
zf03k+7}B|y^Ky=wLNL!aC#O>u-2o4zp&$;)mWz)FqNdP4mHGA#kMFCyho-%qB_Q_s
z<CW{FCdiyA6Ufz;#nWwpu8l>K__1I9Tp7Ux=f^$|xy{IcvsS-)FGU(cU$?Y!3%EEo
z@a&m-zYLgOx(`VnG6-{Pr>E+1QAT7fIKG#`!p&N{z524)Q$mX!ddR`?n8b9QF&Xe3
z3>2%P5Fq{8zwfXg2VCVCX$u8eoQ>G;sYf8<l<l%j*XP-gi0+#Z=JmajRccofmE};o
zW-R4SF^~UB@g&O<Syc0r^utW$@y0u;elgF(Yx-v7&qxs9xh6&aY%mEvR~l<S^RuD;
zp>>Wgk${f%V|E`($k^-XrPh1L7^Qvpe{SIA&g_`M@`+grhHZoTHtjdYW<Am2+ciWi
zj}CpD7OaSxeR0WBj>fnd|L(HR7CG27#ol9oQo?tQ-PLhQ#z-B=+xys99{EPEI4gNP
zzC-%GC}`3M$+tK5)X9=C@zCwvsD>I+9?X6}+Gm8@9W$?_1;{wML3Z8m?do_Mcvj%?
zb0aJ-$XhfhMuCbK^~pVNDn@eGr-?r`f}wvvJ)N$AX%AN4GG`4$rP_<Her1HWdl#;k
zuT{jU<BG%SPMR>f(^ha{#E9pGX(hy5B|QAR&ta7_4Z;l`xe6p+j@(Np-WXNJ`5Efn
zvUOUJq8%1&Uu6u_C|kvRPgT@q%onW*q{B<7_w?&*W3V*l-vzu>!zXWso<}4Dn}3z(
zbAKDdoUr~)Muj>AL<ugWy-bW8jy?L^pN*G6<&u`Wsqo&vZmVM)3waNUM^_E9aerGx
z=UICV=(@zF|JtFAf{~|Vlsz2G?>buYR6!Hd;yc*^9y;)<$hf7i#Rc)`0lWP_G_kQa
zeAJ(+3(eGne8eFx&VFCiy!Z|cVscKb|DNfhjU?(>T5E#v)xkx!$yy+;j;8CmF9CtH
zWDzyT6io(Z_H9mdT&rob3MyX$9fd02&&g(ZAn`(Zh>wB&o0==jUM@ks-Lrouj+jHL
zSKPed5(8_#ok^}~T!I?&&1zo~EkHf4S2kn9M2qf_cg~I_sEupV|98|9wKql15w0_F
z$YLR3`Db06xDZKnOtk{x#+D;?QY>_eDN*~BbYUbS>^X7J8jr-6^KD<rf=?1Ha711Q
z`)@C`AcfkXJ3gnB5X!>*%|YKIZ&@&D+}U?n1yJqX+MgJ}!ob+)?D=pe7R+8%_{Rdi
z!E%m@rYyKE4K=ChrQ`Fq&-{cIfT|)gO#Q|LcG&BO8fby3Rpg_z*cP7icU%AQ@}-K_
zEK<Bv6DeDj)?d`MMakoesD-Z#EUnJ&n5?1VZ1!CH!R5B_n?5?|XT?B5*j#MIlp3~9
zdG=CQ*+OE~A<=&^bciLDW-gQ}V=DNC+ks`aAe;RPHz?2o*YlJOGgSdMLfAw6OKj1u
zDs$_64Gn^)3Y}}pNO0}><>)J7i`!CS@8|AmLZ`9sgEvtQ5o%U(L2v&5TYF~qG-=@Y
z6U{~1t+MDJO0Zuj0JJ+pNQYag_>=mr^6g1!jIz6Z=Y0VZqhj@kHg%jRKjR&yF98{i
zo09TmUT%KS8M$*s4Le^vRUY*h#mMTq`SjB^a0=m;_dVnJoc?ABYZYNAUAHUip0NgV
zaoDOKg35>scT%(T5=3#$0eQB!H5wb<l-GDDV(3jk=pzvUxF=pqIC8@ZQbbWp>4y|_
zZmdY!uf~t(Wtq2^$yp(z$@kjyN-{Pp?vr1Aaxo5S&m|V|@`ASFWkl74JQ9p0riR=W
zqwi20^H_%k)~d?qbl;JKQ%6|Tcdx}5cwQ5K!_Wdrw;EbwFB0*&PUw+E{$kYpUd^h=
zGDqYnF=ItJ0biU7X1>Ysqh;LH^YyG5mKfvyr5CbTD=T_`#Z7)FsO?ry+-!#T(r-VO
z%gI79%J|}7k^r0{@;6L&n<9twW8QP83?3{CjrNQc#HF52cOM5+go)-&tACKjR!RWd
zD^&<na`kfW@0wuKIaj*?F=^xrO+G(zOBf2T)@c;-`u^@?&MVDAq!4ZI5WHGM6rPT8
z7LRzow`}%U&Edb2*xfG28rd#}%T1}J(Ux31ow#z_zFHE;zE{R`Cd5%~DW>s~*9&5j
zKF;1fD+%+_OE1&1B(cmdD@wqPgLf*OYJS%xp|`eJuG>u-X1_j8SPt<x6Wl%jc2p7@
z?au}2oR+~F$+_|Cd)Ziah?}6jP6~;;&zro-lttU#HN*=PHvR_y0RR6Kmv=nY-y6oQ
z?7g?g-s5@f`MHcpB}LiNQYcYreA6Zx$ZAL>MaoF_O3x#b5n5K+o3bM*{QUksuk$*u
zbKmzl@9VlGMY*$Xj&Ni7o6zTdPx)b(Tv4>ELKmaTWi{s>^5FWLjr-fH1<>L|TqYgR
z#mBRXD!t~s&}?fL+4)-#oPNKi_X+62U1d@&gT{-lOcPT&LKyceudUv!r+|4SB!}$E
z2i0%IM;RW7z-aa4jCdpkcI`3~`Skqwy^t4nl1B{6#sUhdTPZkqLTB*=jUScShtGQ6
z7l)nq@_4m41$|G4bDI(ba8N2qGR9mI+>9MtEau4A>Xs5McTNyr?6#+6|B=G7taJLn
z7c%x;@E33YPYA!@(zBsO1~czkhm&b!7=9=m+!QSgv;6;Ls68aq$Xi+;EhD2yKJRvQ
zu?Vc%vMP)QWWmDHEO44i#;O{bK4ei8zr(Da+Re&=C+=nNkM;9;()ZW9Z57A92KU-d
zb_Ezt8E6PCk<r^W5vEfrfnbMOZf{LRXgYD;a?qr}@WulzUt=lE+)k;?a8ZJGrL5^f
z2nFfJgDeZp(r9Y=Xw?^{j9;98uKInX;LRfU&1_Q=q`mv~59X<$w7dDiG<2~$Z<StO
zR2C=J`fJ{NQ$>bEa?gwRy4W>%!0^dmSuhp!)I~0<!RpX}V2H0C=&rs|7a5Ynv7a;N
zPO@vD;p(^4dU1V_#=P0kB9Ci9C&GLfHQ^Otu|IWGAFAV-gZAYLxPCd5vaeecE-t@k
z?HUb`e?0n5Z>l2d7>#N~W3^B_^&g8#jUlE|y1r;$Q9^aE@5_09ZE$>z;AZ@2gs^iF
zM`m1<A^c+QeU`U2B16qs6@M6`p(G;yhJ*_82#uf3e%e^$Db3*FGezQpm8g273T)G}
z^1QXQ5gtQ5p<!l*jl{;te|uDsB5=s!NTwFX_+l?J9W=-9$w4=t4pl5)yAV+DT@$7g
zhiR81EwD3~@vEAq8gkxeRQ#*fK;zc8llDmjdUh1<nf6peyR%{0PCs>Y=1;o_Zw5yC
zO-FV2siDz){>rb9s;H)qnf_1;+}#y^B*Q`teYu`m-K;9$vJ;kM6Sjnffy!shssho}
zWOXSe_{9x>uJW-&t6NL(rchN-o<EE<lvF?{_jtnFL`$%iI8WO5s=#9O(w!thIgAmF
z{zZkBFpK2LnI@^=T5e~Sp&$tZ^M&D}G)p{iH01waqYNM2&!@+>Ny5N+Q9-WM63y=?
z(uKDxA?V`8Z)$m>*lu0BboY@ZDrFaq4s24y`wu#rUAu*#^W>K0<CB&MJ|R-GM^^#N
zT%N~o?c;~r{l#DLgeAsy*F23CmWNWpt{|Rp9;DO0^tP-5nFp+SrGCpo>{xio-4%9}
z=J#?vECTrY$scn%Nq7=y%GRpMg2JH8ZtjCXYt~xV<8T?UFpC>K=3v4t51l)I_<*3}
zd)nIlr0~##aY6G2J!Wp`oozcw;1a(+>jhs4?DG2J&8)vhlynakxz<>~E%#w!(*-ej
z{QUIL)%_pQ%P<ri&S!z|#m`*YN<_dUbMT+%-eqEfH}KBlZgUKOd=veMUl@up15E#E
z{UIuzCYBH9n4xAm^SoWGAP#zKT=z*^BHj%4R~W6CBJlY(1zoZL0<yW=9=%v1cw0%1
zcbrWzrg&srWq}X0i}%VVmH!YeTR2{v$TER8@4wE|-+95L;vZqgxlE8bMy5zCCb0Og
zjHF)6gN~ofHy_*nC3bR-9{O_77>@rqi;fF%W83XN?n({+h#xoq-Op(-LeAMv#?e$x
z>{*sFyB)Pk{2M8J^p0YL12<-#UiRZaQIF0WA!|CsUw<*7nqr9K^1saW53<87OYus!
z8$Gs3^eheW7=kJ3u06{=HkdhDt(sqDz}=DP)wOT~Y<;oAOyMspqJ#{FKE7v!VWZ@7
z_^Lj>y<eG{ieiO=gHyW_X#;k19=5-9P9H1GJC``Nu%g@KYTuI>X82qlnWbOTL#@pD
zEPq{Ae0(a-tSiWhWj~e*=?FcD`Ww1#v|$C`hp|qxd^QB<=j+Y#=^@^JZL8L~^?llE
zIZ*)|IAdvEdH;zns9X)QEZ<o1UfXfamf*r)Zm&BwM!L`|8xPyCjv7UaiRa%bJkb0!
zBPjcYf_Vq7pRbtMVX<?w*veC0TuT;OIC5g0d)MSW`aZJbfYDjcY8oG^ZK^wi#VBw)
zFKSX!#R1LH%iHW``JuV<>B^ONWIVBYeLA(B6KoF0$kK-E^RK6hvYjEr`jmCyHUVxF
z^Ll(3N)W;$snBz0$z(`8_dc6_k_VM{+L#U5MBtvQd|=<44p;|^lcz88!fvW4GX0(?
zJQX&E?5ohh`3LS_AGq`3(wD*V=hotQn6uMMKUxRP$!jV}oA@yxQ5zA<A&FY&@`yY?
z9R%n{m}NN#z>xdwXwa+_Ja1krZrrAWM6)c0hyH>vyFPxGaZv`zfwB9Opo2}5y*1>A
zLeL8CJ6X>ui?Wf{SSLaUeb1*qi;W9or%Dymu%;ZkM~A3RTXm3=pnG)CK@|GsOh;?I
z<&o*C6fWwogSf+<=f)bvptLWEvNu@)d^a8nTHn>dOv>0@qx}+al~UTpIjo2r2=PaE
z=-}^pL9L4dQn-I+UUjdLGK7YY+^W_h<KU9x&EfCT=<{Tth{mhn8?WM~(qu9=-FOpz
z#+!s}C1IhFNmZnpZS2>Sr63G8EZVNJ_?=%q>uIYF>iJ38N*V=GJ^v-2bC(0V)YIE7
zi5hsEE#;OUs*C!Pwh*&@^6*_e@NCB?O(eU1C>U_kgG9s1j+~<k_#nSmxNJ@fs{7P;
zpS9J8F4rrw1EGo-_p#^uFr^K>DTKe<WdK9nezI-2622u1DBF3j*8_6k(gj1LZdMz=
z8Lo_~9XAemr|V!m;{Nx4Z;bFJT7mV;DHSB&Y4_4^(7{9vJ(~lc3HGp`e?aU~#X+l~
z6LYmXcu>hSIUHmP=_?!Ja>dkegtp~V^?Dy8Ib8qq_+kdu7aRK5D%B7!DL><3qJtxk
z1~>BPTHwP->x(^R>Uh@dUXbCXjUV^-1*Tpl;33U!mVZkfe%XN*%M+S#U8qnk-vel8
zUB5O^ppFIAnq5808n}{XG?P6Agd96@63^6eGjqfKk1}eA8Hme&?6<BLrRk^2ebsR|
zA@fb!fHJn|i^m2uT4IA~O2XQl8b-FKX1Rwcg7m!T+HXNCh&jK?KEGWJGgT+vRtU<&
zG%0h+-^L2J8*QGMT~S47l91!@3lb)(n>~a*tT0yGDwG_(?lV#uHvPzu#7PgSqx)Q~
zpnN`pb>WOM^j2<<U9}QLx#4npl!X;~ZY>uOTa@rCsfXdBu^_I?6rMT6Z-uZ(9^P~g
zMYy?1d&MO4B5uB7FMpdQ>hC>$qf#Z0r4q6KWct~WnPk{p7G;T)WP?$!<8l}gy?Hc0
zWCPl7>}ua{Y>A3Xb&+a{vJh<KD5U<N!~Et1-w!=NG0W#X&q^7vk9?ZwJ+`h3!%3I6
zUj)u+x9{9+D}}ca*Ta+&e-Rh0zCRj~1XR42gL{66gL%PJ;Jn}r!I=@0YI%I!542V1
zs}+dCY5biJPs})hm8JQBObZNao}gBw2;<xC<^NXbhKa5~H)oL{bM#E{cGngN!Z-ez
zFr&@@QF^=cW*o^Je}CLl@SfqvoR919`Hy{sy|Q*s#h&$da<E-1Wfvcu{)D(`KJFu^
z_a74~>87yMDy;2##{*kl*Xc~(e!}1qx0vRX3CNRkx_Vk%u<(lf=R7k&@Q*55ESj1i
zta4nAXT4u0ZY(3MBE!V2;Ehf3F~*qk7AbhX&RcM-R$QqVC9LGR-u@dlg0XGL=@DTT
zoG#n6;YQU2QJU5CRME-^17`QeBI7o|rLe|bRd|Yc&dF7<_{0#Uh19^UwoEu7Ld*rX
z&Jf2>G#I<G8e%KQVF^AmBTOPh!@JAp2u|(FNUh@rkO)ZLG3vm8#iY$gwv_%N3^=|f
z`u6GL0;SngF^L`nR_C@md{`v5JbuYB=A@5n`ueiRdFXMBqCnraxI{4Na?YjI>p|{Q
zbmxa0I`sQSa?%_BCF=bzh}^Q#gLyFBqqt*q$mZiJ9!gvxSaLfLJ*?IREoJ3as2d#|
zmaY)R%ycL?l4j6otBa-4B;E8qbZFPee<9^e4~?vbc+qAG=*k^0MP8%B$CnJ`hCBw4
z?iA(RaHqgLx`cnJnGV%awqFz!nUG$qyIW(N47<0DUzBv|q15`}PJ8YKDBNbN<vveF
zXH0@iav?qD14?-6cd}q(B0<_LM26&kX9<ck1J)`<9K}S~@J2%F&1#+w_MNnD7vo_>
zJI#qEv&@d)PXCNtoY#4i`|ab$F-AxeH&6J}bKz^a4V7(P8`C#~oaFkM@Z-6<eTfba
z%B}N0+_Bfj{c8nE3V$}>-{$#OEAM!rUdL5EyY7EYzm+rUQCQGFqJ1lqgCE!HA{4)g
zXd!C9T-mQ^*7bWGI&$@}07M}{GKkZJvqItEW^Q(rEH10lMg=iPclEBQs3vT-fBE88
z!~yFk*838#2xEsxKSN!P2D(NRO#i#O{tgd+bvCvTUFUNpcdfGqg8HtB8eQhWpHLs6
zHp%te^IYg}JBJ1q6@!!0T6rPOQ&w@5B#E#>!C0OSb;t>Z7MU~hBlpi;&&JKt5KVRW
z{aUV$N!HT$Up5N>o!y05+ekQPQO-75tPcK{vdm36f`}Z?n+uJSg-eEjM`VjS?B))=
zJ*z1U-5?vMA3bvLZGKEguxfym$QsSuC;}em>N~L;72wj?mqGH?fRl&2okye?C`%L5
zUQ|U0EngVOn9zWE<@gqcbsbC*=RFy?SsCJ?T*^fcHF58p@C55_DM<ETpKcvgflZxe
z)R{0X*nG%&)o@w{w;4wQ4@RmXu_$7rL#j5iUA*7yZ6`tYmQ&7A?R9QXB<JCR4(hu$
zUsa=%!!_fHxbUx<@Xh9X!r(xL`PY`SHhS_XE7W|pD^MF2&Be#oEGRhsq5RueumbL;
z2>95Y)<M&5#HQ@hg|qLNlwZCg#*)r0oKPgAFTXOtAx;l_BK4#Mekq~wDP2VVdS2ai
zZz@k@Rv&C-j<2<KRN&-8pERjXLCD=hYCDb_;$6Lm{+f>}woEg|4zByEl^}_$CcMTN
zo9f@z6{?2(%~-3rPQfODs}}F8O~5l@|Nc~{I)t~f2~-`VAj8gdM_ia0IyxsZv|KcB
z#B6j{gP8)BgIwj@HWql&Cfymmo*U1X_FS6rCBx?7>13fL0(5Z|@g1R>*!g&#b4R4k
zdfmD2+v|X)$fxodrJ5Lu|ImA^M+>P%bYr(KTcX1)_x`COO-TJ}4Y1g{p4YUTWt2%)
z@HaozDG{uRpO^2&{XVJ+lX2_q#VJ;BFet8L9$)tp>U1HQdzHXGq!^{JVg*Xm;Zb{e
z4ft)In-{T^$Jlgxv8ACk7QV{<*{`4uTeW<Ox+)2qs!y)G-)4=Y<l3e$^Q!n@**p~N
zD~_i^eO}VG*3c4<^o+Q#0=5p0*sMW8a3)hjW=Yl<8X;Bc$|-}=^;D|s3lEydxR*)>
zt)Md%9ZpSDgp1A17!3gyc$<;6j1sKSuw=TB{Z}5_p4bPKE3OeXPa14w^sEpUF;<!9
zBZsryGdUk0&JpJfIk^fOEa7*mAmnfz3ElEqIX~L_h>jocA7yx0VprWjMBo`|ToQ@S
zJwJ4ZFzN`Ir5gpNxUv=OE=j;&Dbgl)Q#<wT^r6F2$AK8_V>{P!MKM2LwaQN$q8=$C
zmM{DzU_4#W+0VKD&qvGU$fO@s!EIrq_QC{8BW3Ez_XWVF9%L$PIZciCWEX^i1xT-t
zsQmYT-}~F0v7vs3dX8)PfsdCtYzt-n<lpATmR;t0Vdk^clHJ1<>etPn)-P@U>Ki+F
z-u**>(kwM}zc=@%*QQ8)cc#Vm0t*t8B5H!3&rtVjZFaNzZ32HrP1lE^OmLj+K6K^n
zH1(y`l*2Y76TDcgc*EXAkF<bK3*Db4splRf9mu_CjP|<R*e@Nc#DwRu2Uh9p_g}7V
z5^gd=?tR(h(r3#A`!(yddmiJ|?P}YKbxB5eb*SpV+TtQ{iQqd^$T~`W+kT;{<cuNC
z)m<@Ct(+$|Uf!1)wcelGYM*bqw;4bxva!Q(a)!8f`p?AHm;vgi%GTCaBLjRtjKHkl
zKZ&L?<&uqO`=}4(>szK%^bzl7m(crqjMy)qlypp>o0|RRZg((;K1$A#mm`IT3FcH4
z6V8jB)Io7~UX@Ti3|$O4)il>n@IBSsc-pv)I&f{*h4Cp}d?e*gFo*RJm9ja$B356h
zJ>J;~(Fb+GwBO0uaIBMHzIIsE<IYFwXFK`BGyN1aO5Ho4__vj~B}e9beBcB1Gxi(K
z?xA4y)3p4nw9kZ2pgzY|xjL$3HHmg?kPO-ZUWcZ~EyR~#{w!9{8mjp1y!l=JWW)~0
zs;6``5FalcD$i!DqP{xRaWiZ^2fe<(&t}i3S|aU!-a~r1*Hr2E+135)e6!K06n-95
zO+33R94a<bOx;tZE$Pm!gKx9ZZ*!ArMBRCJulrv4)Mq=4J)T)=Bhz1NOXua+gkFie
zse48?wUO+%7IH)jj#*bk4<wfo|5k7Mrd&;@dfBiK{(7K^uQPu+ihPTRm#=vjUhaQH
zJ?y|?y82lIxw5-SbG7+|SKup4d$9!SQ9q5u0B#LbQ3rSxUc4e?(^_`k9llI$)JQ85
zbX3RF8K;Lw=W~e12GeA#KRSf_sarQX64j97)Dk1?ltm<T3|MXnxlGjOHuEI(s-pho
zIc4dcFNm3dZ-pGmv4kYM`9?WyRS11o6>S~NAhtxr+YEEvBiK&{%ld|?ATYP~xbO5c
zBLAoC?+SwyVzBW*q-mG(I)~ru?C^U=WO)xdACY)UBo90=k1$rofru0@2J7|p@h{h&
z+<8U_DeNCnN>)PC`|zd1r=Ahw4_lSeB{GR_y&p?!bV>+vc+p$-_Zd+foltYKG>5pW
zqf+rJKoQK|a?IS#8N^=Ma%0!ZR|N6f$ZWhr0qu5kY4#J(3CgeRvhI?6;zEIo<J-*&
zI7o40>))11unQa0u755h0<=vceQEMAo5&h1{hLMX4!d&CP_Ts9eQ=&!W-O1X#c#%(
zb2)^l(XFMmurgvUS#MWbu^bpeKL5}Ve?@TH07*c$zj{7$R((yF#fxNd8_MCGn|HLv
z{ybt?L-~LRCzVjm@=NI}mqjt@@a3~@`9uuIw%dEes|Y=<>kf=ovbgbNxLE0QA>p?A
zZq=miEg}1J?ZTc9Bsj#ju=j2%Ca&v}rW4=P5PuK0We&KL5U&;!x8PVx$d?@b+}BY{
zB$a*oG5%Es9v3uH{Nu`r{xhwm66*EDUzP$t=6})<+_^b+p1+c?*3J{@uV^Ip_tkdH
zt4KpX?B8C2?^Hr?GQsUqd^6D|nO79$DFy8ZDPnPFs))Q7CvfBYN8-8jj`{2aN$hSq
zakxOMnn)YTkabM@OuQ`nz(@Hc0j05`uXhCB5#2<ze{AGeBI0qe{$BwJh<Vv89MgVJ
zT>6i9vM;NRh*GJt8}}4Pr^Dh2iL3Plw~XugQ=FYdcUy^6?{hJbl?Pr(NPZv|Wuu;(
zzxq!6@R@&EwJeGfWwU#<zs&^6ccE<hQ4jI#$g0bk9ioWgjiQJPe<EtR{Znqw^byV*
znp7vVMR1*?V#k*6p9u@MwH!Oz0I}3w;myS*0xO?p_o&Zbi9Zer@{`p=#Jh!rkM+ld
zVc9fQ7en7pD7!v*bd`RTxEn3<Qslc34hj~Qy*%1UI3?Pv*IXPYc5l(c>?R?|J#cMe
zmhB>jhpHSEY=08;)$?;M6@qB63_ct|>Ls*<w*}LCPZL#fW%ssI1fixhxp{+WKf$us
zYH!EES>h;D(CSo<0Bn8!)V~%QBy@jqF*@#;C(is}9dytV!2Js5o*BjUd}ZUCTy$cA
z(Aaf7;7$QQ@?A|nHys-#;;U2gu7CYa2%QX8W3b>yy-)>%5#0oloZPyfHFTLcuk-p>
zPZJ-=o__Ux9Y2W^eG6jNK`X?NvG1*f{d^$qKYpvlFhgi0-x?G5rh}v<cU<}!FZTU<
z=TEAgCFoCu9iFBzAn(Vk=d>rhn6@A@B(LkjPNVV9Sr$yV=G>J|b>PLouS-6+rWT0I
z8&&G3BbX6$=EsW?dR}~u9NC%Vvqbz-T@8@oV?%C72tDT|9!NL*^x_r$OVIyQGE*Gk
zz))BDvA2ReFesj`7A36`wXf~DYPopu`$>gQ*E?<;D`WQepwU5hOWLW+oA|IVVX~p%
z9ye+mb#G6kGT=gBocJfRb$z}v#x<9~jR)B(NxJ1s@JTDXCFm~%0lwk0T~uz!=kyI}
z^ROTwZS48bXA!V`AA0#pi3g_=x6k@yu%S7s|ETmOag<9wFX3<HK}l*<_516b2ySwD
zR&z=U-M^3QwhQEi`HorJ;YuE4c>bF|w3`Io0gWILMLxWC`9*3@=Yz_TNWXb?IdtB>
z!4faUj~CZ2)?I%n0I9)%4WUX3NLea)`R0HCOgp+(EE<IHlX+^T*-;6DdZS;CaR{Mb
z<Zs@fwkXEW2Z$FvSApT%2hW}=ir}INTQ2u!ar7)b{<=>`9rOZnp|2Xmz~Pkal2#yv
z;MRwAErXhH4g8rHAS8vaw)E_}he>Fx4cc^cw+@t;bq0UNkw7^aepy>e4n|)0pJ#NC
zVUidB-IPNfw%ZsM6Q|^nkl+;2;iijk7W0EUS(FeQDZTSrmm*YtYTgz2s)x?dcskKL
zst9;Frpr8_3=hF8wr@-g&^Ig9oLZv^W>I%(@87C8)7xIR>%1Wj?#bnMT=)5EWiL1i
z`7{uvC#98h#Rxg<gPTrq=%LEw+}1KVE%fE~x{XkbQM6onbXLd^+72W2j+{CeiFv(m
zPlz!>c+TD*^ELs~JkKlpX&s#CJ<gn`Z44%jg0TaQ=HL$GwHSFxhEVS0mJnwnOqwR0
zDt`pDG^lc?5fljDd~4y-VF2yjERj66R`7cK`5wz%3TE#T)^0U=;H8T{tX6A{ru^+c
zyRs=rsoA_uTZ4k?s%Y0r_KnbRS~2%LM}fW7j85ZzEs%{*C*?ERBEi6-ag>RI`ftzX
zJ?K@i*Zxew;|yE84!Sk7aWff-BlS_y(Xtq87$q?**rGj>iCbx>4(g0*8D(AzV=(sH
z*4|lLxbj}&^Y+lfv}tCjTQ@V}q@3PLWZL4@Puhdy)#}*pXs;dD)j^mmtv*=Mu*Cx{
zmKK2(6(pWNv_a{|GWG85Sex`48^NL%!|X4kgg*b8WVw&*v<!Xe<4m7z@GETPbv7Xn
z;i33<Vz>Ee?uB39-{Y~tn<K9eIRuf`^V!oMdxC^%ZM}}Mqg$;pUo8Be^Jxj3qL<##
zs3AtH^bYEbinT&loZyLbUcw-WCx`1WNzk~a3VNROto!rp*=joX`LM^^Ks7~0l6LsD
z3(q!VOGMeFia!Zt2S);*?e|(qnpBwhs(mV8U_%i)?Z*JUTEXlKOj5M=`l8hR!hnV3
ze=Rqx7YT>s?sXD$Qna3_zR`Sb0!4|u#Rj$mM9!B4<H=8wH1DJ0(^mEtNaW`&m^6Gx
z-N2tPNR5)D`KMkgBcC?M!_GAB`G5&(wS~+1VGBvxILDHgO^F#w{lp!SzDT8ydD|j5
zFF`xDNWK-wVun@<-SNKyYt;BRpBB~gBxp3c3ZY(KQ<RH^GekNv(stUVcYeAcLE|3^
z@8<brg8%qx29D-2(}c>R3YL5%XnU21)GO>vaPbUAG%DF>hh$GhZFH5O9SYgB{JqW?
zk*p10T`zLduHNh0u=k(@Ep$ru$}?wU=>F;3701X!`_rlNOg~0~R<@hp{PL&~0%GT9
zEHZg%lf~~XWLhL>Vo&yotcDq(J3K0VppuW~o=W!PR+Xd`8C4m5RWX8s()TNzRs6K&
zJy|E8Bumm3(wCyXwHhKKF@-**M1VH_^Eb^@Ns5-<(!$4h(-51j)yz551!=-(DK#v0
zQnaYHz)qJ<hOlf|)bxrHqIGa@P-49#O-qolN}J;{#FT_eH6>V>R#ck(NXS8kcJD6R
zG-H<m8jq=5X>}5z4g0m0Obe4}{CRoXYV!?{Dr<E_$3T?kIxx)?5=)|)J!PK16mI~Y
z($$qt2{9Tom9CiJm!)OL`l*J88sOgL4VuCm#A&bHOnbbOWoZu`D$A6P8o+=1PPdLZ
zaoYUN%}%9ia<qE+Lx0`|7~tEosAkRZ`kd~ht?^UkXoqa}A1^p&fNFvxPP0dn_A|2t
zEUxl2F;CDrh8bY>$kTk0E-9K2Q+~|aj67`@%aZ+2iUGEo`UUIuO4E$D*3s+TRG^V!
z?nD;8Hvr`hgJ<`M4DEja009606qk2g&2JmWixz2jMyGZ5IZdg~Xq|H*2~nbDloHBH
zB&C5en$q$^MoCGDB8sGoD5aqkA)$;U8fN=B&%f6n-|zi;UHAQde?HXV5n2I*g%cL_
z$=}ELVA9mut`ttioNXUY8&<Gzvr85?*Gd3&a=RUxr>QtTY8~j|z{ZAP&z`zi0ciCZ
zl)OGl!=ud>{Butw^NkO;v0e$lIl(%Ao)R5J0q(0E7IDyT`qQ7)Rzl!(r;O*P($UA)
zbnHk82M@is`Bk1P1o?vD;Lqv|WX3)jh@Z{H4ykk1!6Yl#cqv0UEQNugLrqyHT)6my
z($?#jZUvT?ez?}kGI4#g*TR_xx%ew>xR6b>hEwY<#<D}0sHOVGB>f~8$LAj^)i`er
zqx<K`_jWST$benwnZ`x0)HWS3umSH7rOL(TEUZ8Msctx!ixbL=KgZv)fpV7L(Di5*
zCLLZMd)|_Z1)VznxnK*bVH=KQ-eck5$>%K|uQ~YmbVMiPi7mLxQv<U5S!lZd_gMEv
z4jz=-=$o~~4)jK5WZ#l!V^7KE`8929eEcJbcjciSoD%zek<nn|vH*Mibp~v-n?bKs
zpC^I^v9)hC=CJYetMm`$TUq#T|GlTL(nQcv+xP472n%N%SVTW?hKaIiGdH_@76EN)
z!_EzLEL>GLKGl4WfvbB4MO;HMe9!%^kdVN_y^+5<=DeVz)VIiq$n|1qaoXqVV8_Da
zox+LR{gS<<Rc`M*Aci=thXVuenMgAYr0^wsc00c#&n#68!XHz9y8D>u@jEB?28oJE
ziFPUPCG$HCJGPfdGcls$Y)DU#9-cX5{x&N{3@4j+ox2>vz%h5z_d&Hf*pkkF?Bg$n
zL#4~obSCJyIO_a~{X%X0ko$euS15+R34_PYcG0nXNpkc21}$uwT1J_k7C~|K@vW2Z
zX~=lzGy8Qk86R|dgcsfuLE@f8+u~ekSh`wasmPOrjLf@)cR?aJeda(^Ia2YI-Gzwl
z9z=}0*RV%JTLdx7-;Oz2P;pOD;>Wm10!I8<Gj_e&4({aZ%AQ@Nj~@1GSh97RsGV;)
zN5RJqD(-y>U$IONrym5i)bTVi<mKQ+w=r9=_TGM6-bELCG#t%c>ojnahXbKJ%@$6=
zzTTRRI!FnTFYgK0KogsDIi?1-P@^~Wg&wDkj!MUB(w1r9eluOy-1{~_rk>li<30s%
zzB4Hdvev+L-Tp6nR@uPr!Qf}-<SE#<$nWHFdksu{(mI~|)f&Df2|5D&wNQ6u+YRji
z4a{@1kBUEN4SjFp7>hf|xZeEWU;kVU+!vAelc{A5R~xPziC#lS#$Q*?hhG}_wdrE@
z=uImqO*_zO_=|)EQ}W3cYc+AXK&$P*N-Ln7q<A=7B%$8NFEdO!G_ly9xR5;}gqY+k
z?NWad_VoX$Y49ar`XkfpZYPDX#_-QIfei_7<w=EDND=YUa!=3QA|Z_LX~{puA|ZEm
zRK<<!L_F2^c6N8a07eM2tm7FZOnz2Za5IR6#@|YxjAjX7`%p@Ig(V4_d&-vF6_asr
z8QO7N1z^#Apzyh5uRUAl3fJjtp;_kK>3Ssr2zK6fIh;a5zttJ1gvu1m$)C=2Y~jN{
z%{{&$og^%Zj&mDS)W(@C_f<;&@gdqW+rr6$jAf(Nr6jTrrtUQ9Ke~wzV?j>~OD~Y|
z4nE`X&2>?_MZb<~!-wHVM3#fD7G7N$kyGlWhe?lWwYQP^@UC$<F}FwyWAvr|)+Os>
ztIpk&hDjcbQ7$HVE~Q{y$c}#8OvTeCPmk1n<3Z-W>8aj-6s(^#o%39ghAs==zW><6
zgZ3wNvDa^F<FvuVHuqaJoI68qUVbkRiZ>_+&WhE+n>AkMUVd~WS-qQ^{DTLz_h)_6
zU9XFdlq+j*sWGrBrD``(h7WwV)gyxo^{{VU=+D^?C0v|Jv$@6O1EKYM^h&-yCY0*f
zRt7V1W%FV8W*0tqMIDyfsYONcr&IQy^jIkLy*yqT$A?cvZ}<PoqGI7{={SE0KSH@5
z?q)RdVJPeDna4C5Dt^7WxGjK<@&)^nj_C+MS~mLLqboGjShd(YL5hR#9naYWg$baK
z*R{6ToQ|Xa`WKfaa<IHa`_TA10qir^IILbt$JRC3ax3Mz=x7qS<h-j8;<8nHedaST
zOp5EVViy;^6-iHGTZBOCb$!)U!$9>D@m?2dxHz|=LpRCI3flVXJ4=CyZ|-)jT{Fc+
z=fiJ;7WY~KIrq}?p<7J!HqPyNt!seJiswCkhgt*sXA$=tjfL{UPT$Y^2Dr$g<Y1h#
z4e-Q!Myd|6aCE0`Q0oi>ym;e|*7eIaaD<zr5zx-U=IhUME<Wa>ul;o3d$BE~@vH8&
zlGymCto!fW051C1_yh*E+d?=`@65)fY;;~mNVNFI!TY-luI2dIf#SizMGafoNbTl6
zT<yZaZAL+1^<V5@4fW)5xiB{FnFoIvXV}O>FM_YH2)vm0Gs1(}xa66^1NlZ4Cd^Aa
z&1w<>s)bJuxwG+^;8?UyKNDH;)@7y!Vz6ns8Fq!s#`4fCvBD?=FV)YxBpo7#>BHgU
z&R-<{I-eg}J4wgC(w$Z3u8M(j{Uc1IOFWgjqatXMhQinJXAiZBLHfbT61Eu&WiZ@e
z#v~Qj$`aofd=kUy1uHpcs+jn@che73X)3ym4v}L&i{Zq-Z^eEhCQ=LZR&LPI!^Rtl
zoKGEMn4zETb+?Rxxy~2vt#a1EMPI1*|CEV=O0_uqo6bOTa!-Xx4n=bB3c7WVh(SJ`
z&)bzq$J@1Q%43LHNT?xe_b(R1d7M)lF+{^)7otbf4H9y!eYK<|{QtZ}s=;M74a0nt
z-oQR0wi&GnSGp>KWl{&W&$vUysah?)eVYha-Epk3#6<*8wt4K{OQqubk)=-RQJUEJ
z8@`17u!F%bz3a-z`q=QDtv;_x18Xh6M|2*wgZD|pnXVJMxI@eF>N=(dS~b5ZrEA-P
z>A7@WhaWoF^h2I@t3(}xGvXG+U$uo{t;Q`mL)w^bC)GmUppHYqp8x6CO1%GYs6ts*
z8#7GzFLE$b$IC_reoYNF@F?Ti_D*989$a!#`k$UU-sb8Hg1l@%>q}4LNPre<`vPao
zKphpG-eF~*HE8Y3c_4R}jJcsZbF7`!vDy{w+{3Nm*mJY`NGciMr%@KSC#j<k;oz(m
zMQd0)Bz5oDS&9E#zgG}GsAHI2%dE@URxoqj6PdZDB)szDOYz~Q8o0{fY_F@(3jXCi
znC;m?#F~3^)^tn!MGmKbvwJQC-IAP(&8b9eNZfps;Hin<om1)?gN2|-G}!L6k%-qE
zM_;WN)5HxA`Z|3yg}^k*QaP}Mh~-vtci$8fu;Z7fwOgeC(hRwtO7=wbipo;4+)YHY
zhS;mKw+O)P<e+JmD-l1{cNq*ikZ{wRGn{uM0hCOdMK^{Jaldln`${7+o?6<m(6X5i
zdn48578eq6k3-NbPpTHS&r;qIl)#5y9ht^AM~EnQwRq7nCI#6UwY_6beDHDI&|0~i
zgy(%;(Pl|<#i{<<I0qsh<jhtYD^-$^FQ!KwU!#LtTNyi^eC9!Y=<iBbYcejMA7gMW
zQ5Su#U(uPo&x6mdti_g3$@ubJe?@159=>SF%-C{)2iKiOey-f1g$w=!-pNy>;!eE<
z?I+@RaI|YisF+H@)X_vc=?W^Uuci#kMetzsrLt#qF9o%Fdl(&oG!z9=)7S3f!Ru3#
zTlPu#fA)gCizAhe{rt{KS~L%;9qU)^Ii-VjRKcUAuj%;C&$hfjg$GT$H>RY;>7roH
z{FTQ~GBD_-5ph8=4+>w5UU_sx58KCgem}5^i4}dR83iwR&^#}5S@m&!+^MfWcYz8E
zU#-k-PoBev=Ly-FV=h#j?d1R86$$5eeV+Hp(U}j*3rfpsyQ$cJZ|xqN{cJQk`{=C7
z1wOpFXFpIJM8gjTy#g~P2eV|Ve+-QC!6|QR(2f~&bfuOr+5eD()*j=rw>Jsk{H8Z=
z(lhD!f~Ka|wvvlwp0aahbO~UVbMV+f4g-I#+8FtynTu<{{yW862u0SP(zo1ZVDpIS
zhIc#z{CXRVNBf1)lAznLQo{LOzkjh;VhwPXb8WKqAuHIWH@2Ev!$dFr?_+~y26)pv
zSwmmn8p1a^zQ1S7La8I2AzifwXgQwsEB>K1_zM+IzAR*+#ja0%ta1Z1Yvrpb1lqtq
z&sFCZE3$FWi;`q}*Z}|Aur;Pj#TM)ab>;u8W#iW0Wh;VB4A4V$-vx~_Tj1MSuNaf?
z+L<_5uX&S;8IzUwvs~@q$*&~~uGg~hl_I4qo+#-B-Iwb9`s|>O0%Nsr**H=Dx^(dx
z4%Rv^JQ=!M1a-Rw&g<T>G2QHSapNI2hFL$$Vf_%nqFZx!NJ;wAr~KB7k*N|Z6mHnA
z>m`Q6&u>9ZHXGBthsuMGGqG;uYF%up7_x&czwvz8*qX4zAEFt!vtH?q!XGire|N8M
zvl1Kc?U1@zwwaFEQ6BUDsRM{?vZ<Z<EEL?E2tK}?hJ<mC_BblQ<)tAPgXXd@Zj2|h
zKuE>BM;q6FVF1)O$AbSACbqqFUVFqt4-+@V(PDG~e*9i_h(lsxu$MUNrl$__kGaT=
zDFK+AW=5@uV4$gPQKD7^1vLw6<BbQz5d7NAD58^&j?!_qj7Mb549dF_R4fMH4@KJ-
z&!gi5nT4ts1tk13mppOCR}6(_f7{LDXvo9F>d!9;D4P2yFKxCME)~_Zr@y0OsjTU-
zZ+V)y(7=~yRw#lEe3{H7D=KE+q=d)iNb++}aG&J@5g5GBl9D&m$Jk!~%~$KyvA2u&
zc7D4Z^u8?(6^-iReYQt!rj9zU(LRyZ>T3sb)h_mltvYCb$$+kKN)4M>)$8~JwlFgB
zCds-|8;d=!-;A(QLtl@h|D6f31+kCTV_F3TY3E(OFPc(C4Wp$sGbU_+9kM;Bpk52-
zD#?f4?Nvo#qtSDhSQ}V7mU83y5E-5AbK2~`sN(g-dkq~GZD1fif5_F8jE#{hoCrBJ
z>^E2Yn3`b?H-F?5CdH6&ugP_`kys6Xnr@&xklb^ZPkZS_--&p|KJcY)iW<J`B2Bp$
zTY;VN7T1CxBC<liSqJ@A!*G|{^R;$X;8?z5&{Khk%5h2spMxacA-r@CYZbzKB?X7j
zasp=FPDwvIsg9b5U%zY&5W=lR&ad(%y~ypW^yZ7_BwnD5yw;ZyLT$F|ts@=;)M0My
z0%uM9ICFheL#_a{AC!g{EGD3p!d%y3H3FKHeQ;$tN_g&SLBHfgz>pO?1@4~+*f#l6
zkTA>#ZgS%p)y)J{sXX6hUQfi*Ro>s+viU%L<YJPTPQcC=tSf$1Bot3`!oIHN!;Y}m
zFUs2q7`-B{y5#{GE2@qM6{+xHV5@!Vd;=n$=&q9qe4&Mpw3h!>Xyt*K%jz?)P7sm4
zN;{M^PQhmj((*%3^WbCc#C@J33A=*3N^i{7!F%pAjDiDsaHzJfSm_iAcVq^h{Iy3H
z!(2<QM9t?xNlLT}NkGQLfbgzub$S>(i}%!k&V!|aqlPp3$fy<&+H_l!iduzr>lEkk
zfGlrzFSt<B3pRCk#xzn<wxn@u^|U3J$k)C56Gg#J?HA-d2{g29{&ll&(h}55Xyyuj
z+SnZ<nkZaO$F|UU&L;9a;H?%O9Cg#d6;(&~s1O)<s+hCZLWc*G@j;IfPhCukKFk%p
zW8j*YbxCLKcyK&i+}#@}IiJrSha-hdT=jKhu+(-Q_@2Jcjy|T3LGG7#c7?Fe?|JmH
zPnUU+*R=YEx~IfXL0-A<Y}jZXX%tXC%!6=+uJWHllD@p+kzUgT8;|bNpT56D(u3R?
z`c}y_{B-oJ#j!FDW(sreXqHI!A|6&bYDC9q!RGB*K3tq_VaUs53V=<`bz9s($3EIF
zJ(n>qE_<S_*q$$d5584*Zfs%TvQ53wcMclh#`~K%DtsZ#WL#^1BF)6TjT3_}ei$IZ
zdjEcg<bD>DDIdK~GBL0qub=`9an+)v6^BD5`Txydnlgih<~G4{#k&o0$9zT!pDF3N
zn_v70&ST-@#)qwY4jH0Cb)rw(OKUjspyq?DHXF}{T*?U9YKXQ5Pcq_<+koB6&HG&?
z{OvLz$o(=h#LHIO_6Zl+!hP+4r&AqlEPi&aaN%Q#FAm&29Qn@{goje(z7jd8c5iCq
zXTAYWwU#V+e#s7&G`|WGFW{i&!hj!_Vz`*U{bl}r2NASw%^CU6or9M?7W*78;$U<|
zPT|075d_Y=5hAmSgF39j<2|?7_^ms#)!SPPp;An3x`2ZppZ4GQEa9}OxKZtRvn0<?
zxhc?Ra`4IMKgQ+5OuSwArMpHGK)+rgx1pSkFExU~irg4jJRr4BN&ryQki`g=^abaW
zGrs3aa)t1?)YWUtC7ch~_4eC)7K+RFULp-pQNiay*9%X8p{b?*(OxX{>Ad!k7pad?
z2}9T-nJ>&FnLT*O#0;mspIAa&blNt4!D0nKp6RixNA;Qb!EtPYNYKU()@|K3D}cgn
zzphvBW}scbTopTt7EZT#f5_GW*rhvQ=vz%k?Q=I?b~%yopbVwWb5IQanVm^a3Us{0
zlX~V|Lcp&SCx6XTlHPH0>41$34XYm>a@_BriJvQu$)DkgA&4VPx^bF{EmIjayHqqV
zxcE@Y-+B>TK04ao+oX@`N4sQQXRG7ENKhwwh+y~9@2;Qs=wbR7Q?~^?HS`D`d0E<R
z2L{1wo;=}7-nl60Syi$szIk%#xVxmUJt(-D=Q^m3a|Ygfb*QRJ`pDhS-o3WqxM3En
zs-A)`W=W4d4pl+g?!#q&{A@u{<HEzLJ6f18<JuRfse<C3-!*zYHqcCY<CTtNv?m*1
z_Wq@eF-|jzN_{0cKlXgR<~tIWHvW@uP*uUFQ6qB#d#oXhOS3?NB%k*o&DCE8o1}+6
z_xM}GXDMTHgFg{{cbAWt_p6{$-qeNsuU61Bbf(d$k$}G1Znv4vs_5-gdBY&s3c6Dp
zI!l%jkST9QNW8C#&6DrCo{tM**}v;bGkZ0$jM&uMHD3(_?h>EPND#v6(n!v&R82gj
zGBy9tOEvr(FcheyBZRz7ro+oTH1Uf{*n-gm>L{P^CfebK0P>Uu`WIPf;w1*@t%H>Y
z7G$(IOgjmnaqaE{G?pfo`<JWio2iMJl-~XE1ANFnGWgopSQBA)!&aAWO-z3_FwZKL
z4=e8Yg{3)aqHLg(QFT25lkGThn{D{;5zp^m60V892XY3UJ|^Ov<-?SqZ#<YD)B4E0
zuZaYMp0BBGBz$~qt9N-050uxqRCN;x$Ugf1wxz_Y6z%@zB5xk#YB6}sSc!)+Pb}}y
zqu>=Yvxx^1Zg*-tdQdroh=sCI_D8+7@we9HE#W^bp<x>?+?h#4lGDd2(RCfXYb;~9
z?x7{jxuM3Dw;|!>O}UqwRP}H%Q_gw%yd|t$ZXV<OlZ0dY#Laav`dCK!+A`yaC5UdP
zYAW29^tHb(k8NWl`Pwr=S#7T+c$`+Z>p7!^vP^^2z@;?&XjoD7HpmiwE)!Mli>F`;
z?^>RrmW2O|=43{wC79~%Upqfu8=Ys%7)O7nW5|Eh-kdl~kdb@ipLALW>8S-<3AGH|
zV$b<TDzJq0S)QDrJGyxJ5XWX|j^te`hB}EmEMaH5b^5(8dKkUY$(|6!!qd8^9zIg#
z!Ji9_1rcggEPA@LMb?9jtG+NsMQeFb5tZzBv5bn;9~n-z#vGhB;72oVNqliJ-^pwp
z4IP>kIs!&Hm_gU;yraj5m<;{5Pvq!$mm6%-a+iy;U3bRjoZ`b|R#VTj8+24$p53!@
zy8&LUsz3dPDu6boj_!7E$+^wzl#k9b#NS_rm~j;Xpe0KOM#(cV)zeL>HCe*#rP}GU
zB)uS#=L3aBOnlV6t@Xq&Lo{`G7}2d_1usNdc7Bd5Ec&^kaD|l-_MUpRNT$&W6yi>s
zeS6J9#giQ~$32WN-~?~YuM}&DSh`nb_XalhxyP8#U2cTG2)!0pJZ&H)fmB3&A>sV_
z<#oG=M%dIA`s6Cz7Nql)(*#x=%>J?W(5@SXcp>rSta<&mkS1)KG(5&Z>f7b2BAOwx
z9xW7@7ukW?osU`%syIl$v7;`~-vImD=IqSz6@hZM*TK1OIQa1Gnn2|Pl3s9>l9e$_
z3`M`b9_Dp((8RgXsd_I56<seq-*-U_nRzka%xXD!aRbkI%?dVVwC<?XRRwr;vSHjX
zorA}Y`R%Tj^f<2LT~U=ifNE&y;jTp-<oxE&+xLKhEOAm&!*+o6k;b+K|L+%`s^QDF
z(eaSQ+qCXu06%X^_ayqUvEyaCRF5VN^<MSA8qEYKDcrneRx1lP%I58<O3+8a*UF8N
z{{bWxTCrxEvhYx!`DRl&UG#f1G)77WDE*O=bU%`bTNkPJmFH7%+IRDl`}+V~9FM(=
zL<YLcP8Qz`A>$t_PyPvsM-=b<=ae%+$F*zL|7C^}kq{p)Uuy=C5xT%D*piN$?>@6^
zy{3sDQZ<cpr2%>>ZT`*NM#F_g{+xYO4OA%IUDF`(g6^H{IdgNVIG7iyM|rA-U!Oj8
z3So*N+;WH3@B8|Aa_Z7Hk789Ec^1mqSs;S#$4N8I?e$RA^rUS>yb2D@VpbKhMZhR=
zIbHus2StaHtVKG?7&2Tl^)A~Ewta7Ie;A{UW7n$l%N3RIAV0k87}*Z4MtJ8Pm`}k+
zT{3jB%N%sj3cKBV+!hY*TO@2CX`%jG)hpZ{Mbx_*c1v2;7K$@|nSGKYW9*d`S!#C`
zam>`1TN7ae=l`aMpHm^>0Y2G_+^UE!)yBf!pVrW;uq}0+IT2&ND{Pjg&A}rFMk6M7
zSVL}9{Q>JB0<uOb?U!GggVX;;NE!WBK;@J-Dc5QuGx^Hg1@20CKBZ$JVXGBX46W8V
z$d~YZMQ;3nxiZ@RyU2V$AOt_J6=ZePK-$8k`^f?oWN30H9rsA`RsLAfJU<Qm7iqtq
zVWx_%7w$bgJ1Kzg%E?>BIvTh|+fBpyg(|{@*@ny{0g!AI;M8|@bbmN;aYwQm7C9;{
zVCxIu%-V*?vmNTFCrx(NcT-2HZQ`5#xA|~`aLMb|b9G!;rfh0wqJgn7D&>`{_%J?j
zTEpv$I{pe4Hnk8maehp5=a=6+Q1Q>IQc{)tclP*ISrr1x)W1!xIVZ{0m$&wAU9N${
z-V5Rlw20^zsDHh184t#$7HU#1XkhEj0q0YeBwY0C#w%$l9t1|KY<?l5iG3b6r*8X_
z(T>(pA*i$jFSC&Gt<e&X-1+JEDO(FYhRpf3QI<fV`J5<GB%u1<b3J=UC}_G%Hr~R~
z5<a|Wot1EvfGf5q$enf9!GUchL=A0AaBJB${cZyhbw2dO_%!LF@k$#txxW^0rt-nu
zEG`MlC&`3FcYQP-EUl>QvViK<Z=ar<Nyek90ey{ORQ#+kUuU?{0@VK59;qBAW6|&*
zqt+EP?Cxwg-Sxx*;sQ8JN=CFKIgmXg+nA2eD0@bgo>{<~wU%cHa@y$ldqU4nje%1C
zaj#zfXaQS$pT@Ww>EN9Dr{Ffuz^YtF2R(U9a50%-a?w{87sw<`ntf%WTiLmI7ojEa
z69OFGUe-ffjU}@RI$7vs7&xFFZV6H9fA*(M=%d#vsUL(oHYU2ZIj|ZmLDNTl{_r&_
zZj?zlu(FhcHT7XiY-1jH?hm)V>rX@aKL4u)>0Dfpy+<|n0uOesNiDO`qvI7;*y)}?
z16*@LW@rnO51+1la>{*0$3h!T<E3*AG2^Utec@d`{9gUxrBo&ZJ6F++YPt<^X1tS3
zg|7fkb*V@FUd}|Cc6Qgd-9~7;!T)kJSqLA)_B`sAX5q@Jv9(U0jquF5&&ob;g}}U^
za_mJh3zv8Qt4X&o#*fj@*6Llef=>0v$tdAz*M*$RAKZ-bQCz;shhx^j{3qw>{eg|T
z*9VuAml&f*Z5!Wgiwz8)w~`O^<6zDV=8t)^jnVcEr(VI)7S1j9d|cAZ!F1AUX6k=N
zNP_mbF_s<VtPQjS1{ZA;)%PzPHpFk|yl1&i*a2Zt)!3o+T)Zh2dDU3U5VhX?T)m=J
z1npV-d;BA~cxHC^HFXUGlv3|Ky8eI|&ThJPE>bdo@;h(sk&hg_YN(b_tOk%JyQGC8
z`3|4O)y~Oa<9>odmA?nT^u^r)-c&BK*})e}j97T*ykpA26o3OE|C|L9k1TOIUUd5g
z1D$0~=5y`<9QnQV!Fm@Ce!uJZ?3+0q^9tQ*((M2{x3>~R57?+x7OyS3MaBOC00960
z43~E})qfO#?d{ro&ud-dUR>L`qL507iu_6xDrKusLPe2EQBqVSt3_qR_oU1u5gCOF
zrR;3V&%fu7^PJD~Ip@6Z;n(;+pg#a0*Pz|oBcqN<YO1`|aq>8NjzfB5AAtDPdd>&l
zYUq)Y6xB}1;BnT=RK|M%HY@Kd`!ZEA&m_@ci<T6&soh9&ECnEKV-P<YRj@nRp8Mxp
zah&s_tiHVnVD{QkSYT2ajZ!`sM;3^panQLVuooaVnM_F(Rz@?*yD7^?VGK1s=&7m&
zP|VgTTx+O=-F2?|LYhLDQ?OtEZLc+i(pMut?@~l*+Oz7m%K|8Tjr8u}E^BCUb2>oc
zR>1Hm)9DjV{CI(_)Xc5b3behyywyA+hZ{cJZyP?riy6w#dAb=^Kn-F3+chkMr3xQ+
zoe|~1t}VZFSsq(LVSz!1Lbx<KUZl(k338*N;cA7etR-;sTe`28m%`-7S$pJtxbTQV
zc(!nY1z2znZT&qUfsu_Y|Drg#P;DsC!+ORX8Z|@?OA+Fj`&@Cy#VJl?mAbh8v6nfV
z-I;OBvs?`CGB{nsq`5FFzW%o02Qw(Y?Hlp=y(re^^rCSj7yb!{lfP`tph56#jvtFC
z+V{yhHt=(!C7fb;_`(!o%|k}6I*VXvkDi#wJ8m>cy&3mH&lJ{$z1vw=E{vqmR2VDe
z!3d7bFWU=E;I$<=VV$Kgc92pH`D=JFkK<lnqm~IQDLt)b^ax>S;>`TQ6d$Hcvd_6Z
zq(iF&FV|#>5O#mMY4XR0g!(i?TZ%CqPI;ejjPVpg$M7J_A0+}vx#*&uQezBplNyP-
zHbQtz4(zq=3L?`{rIV#D#!zwS(aH6eLU=%7GC=Nx5N@Fe`1Xz%!Enrmm*mYtm>>LD
zf_0xTYQ6K8+i=DRMBBfF+lLBa_RssBmhK|BN9N0MhPn|vh*eUjKN7<9w@7#K7R4Ju
z9LHqe8N!iN36Y!sgs><vOygU$80vo9TueJ*2wDN;QQBJG3C;k~8wKK6VOw1>Mlpl{
zo&ATqx`pv*^y@I~UlRE3OLuwIPa3@Db(IO-FM=s*U1!%@O5vxf^la5a8l<nUQetBl
z#VhfPmGL>!xI1e0%F{3!s4k?DQ_DoL+H8039z|KS$Vd_9a-hMxU1DUz7%@D2<H09|
zCvwPo*JQR+jRyOF1xu}Xh+~~oQ&f|i0#^CgvwY{H!9Vs*yO%af;8$sGxw8q1DDv!|
z0Lv;BH1jhG^qeIznX57V(orS+UX!v{<}VfgPPfLz`AMOx{=L7S_b8)VhzP$r7Y*{S
zGY`DDDvct;Mt_d%RKXjH(z5DGG@xe0OM85j!J~SDo<loSkv#7=NnWed?z@9vnYtYM
znEy@p->rt;dn|HHPt%}esW$n|d3hw)a5dcaR!1#=p&_rPwRpawD``~$d1Z?Ht{f!e
z!k^tEscMGMM&`KFj*9p`R=4s|fChF6nCWGw8o~p&4Uf1Il(6Z)D>`L<nwZA=y-!KZ
z2y!Bs`O{pKv9V)^?Q1tJWYsmF@he#SU$`%SMM(vPofUZ;sM^@>IQY_Qt$(gL<ZUgT
zP{Angi&Lhv+UVz>S9?N$4wo0^`CTei(fh8m6#0e@ri*@AIsb(Y%qhwj51dv*;eM9x
zC<zM2qd`JNr3r9lQpYb_t?jo%kHlL2DHt|25f+qZ3NQ91UZG8>V|n`EC5!VEv}jxU
zw&j)?DC-=#6`evx1-6&b??Whfl-y6F-7troA(xYBG8*{bN9TY!WeVQe|K-5OGz&QX
zUqBV6Xy9<dulyg^bZ}AY9>pfb5(b$R#S?yNpzp|ax%p;o{KAe0Lrz*j!$#S!lggU-
z&!@1ssYweP9;8Va{$~xDg*V4@Ei`ed%~jg_swS$p_0C)p1-RlAa9q()6Q!nYc>m~Y
zpxf^D3DW?8F-%&h<<i8PLY<-U`ReEtR=Q8=1%U7vm-|A62Cghwy$Rt`!yvwiYXg%2
zpBX6^#ho;8+u)h9mbE_7t7=z&D8&GgU;can)nsh^W5|-9tArg9T${WM7?7fFRVyJz
z#*D|(QGcctaAvsC$j^iUCZyP`E*Et?CkV`Hm9pp>6c|;a$ABqs<MiQ^YS_vt;v7*T
zg&LZ!qzp+0I2<}FT9KiOk1Ad6&ixQaxkEi3<ud@)Ce?3y3RUov?y@YOmnbU!i@nxS
z3-GN>wBqS=WxN$}kTXw37;SHrFjpl598@Q2{0JpvWt*P7X&{LE@oT95W`MaPB>Ojw
zikKe0;mSr)ehf<N{r-UqVCLF$NyDcK$l?0LVstwX`rKmBs3)y~k7p$#Za@xOxuO-$
z%W`4ZK3dPsK`S5<cTKCS$fDHf^9O}{IdHh@_h<eMRuI`XB+wBpjlP#J%eRTK<3pB3
z!Yyx&7l;3hc>IyXZGz#oG<`PggoToE4oh%KV14oYj0E=hOmc0^Va4C$d3G$m77)7g
z&;Z$395ZR>ep~vo;>H%<+2{syAYO1@+|DkBmt_Z}RgSWv+WxUSQaa{PxAhu%?;jDo
z=g-=!Rl<rhkF6EFub6?PxppQ8lL-3n<ofeOn+^HOCok47o5G=!Ho2u*!uVeum2TU{
zhC_BU`)>M~g8BI)$+v=q(9)ADD)kOKE+=2(QtCDVp;h|2mQFzocR0~~;2H;N-+Se8
zagzybSzUf)=_ZIXIbjZG3OKR4poLGUjt;T3{hvzv1<+=f;>fK&F7(^}j@)KLhu)au
z^V)U-SoY*)w4Oc>_IKX>z3|!?>^Yl?dwWQD@Bph@;B8*?4`9d?I~c?1$)euD+a$c@
z!)i#^<j2p<V`GvZjbMHD-SO)wB-AxlNgHY<p?dJ`s)OD}phmwFak`L%ri$6+nj6>Z
zy*iTAId2HU{MU5$PmyrgX;k&UHO};?UO$$8*$^DbB99&S3SijJ;LJ{IVLUyMq&lT<
z2pqg0{EyEIAlt;_-s3JJIB@iUo<S!KGS$DjSa=Acsf&-n`s1Q#Rh?e?cx@m0a4Dvp
zZ4t!S+y{5;pNe6B3Fp@i8V!oiw`FFy3L*Wu=YiB!addqfl_54pg<KMG;qs&qdfR{5
zPunMn8vk01W{asH_~7_TMwT#c_b{NS_DW#_Um2Azf(k_f4Hp*niJ;;QhbhJ(8SD|M
z9AkH&!pP%?dl$?^(S6@~5mOO4bk$1Nzo$wCImN};ak3aD6HVE{?eeG~mUF6-hYI=q
zyIOR##E~WS$^Cz>ib$=Qo3&gq0Kb3h>=zjlDDBv7V!Bxg@7b;f8!Q=s?%DK=*rSqY
zsmHeG_f};r$cb($VW+|`_s+1kr&9Q<;o~~<y(%buG%IypfeMpWdbw4+GU!-Xw%8Y;
zimx6o%7Y^n4yD^Y{%~9tFMC#g=SWvWyB7kSy=SN}B>RIMR^;&bvt`2#mFl=~s+kb~
zNCmA7p3ilc6|nqCX5HzpWQ@6D5^rR@#-qhuvQC+b80OQY(8jKbU1gr6-NiHzSVvk>
zh)}|>mMd^lMGN~5?<tNnGlb4ttb(;Wl(DWXA%4P88}rQm%cS=iLaklf6C(>1JZQT&
z{RK@2mE^-$YOfnXuxGvQypk%qPu4Tvm!#mPo%%`d{EcC~>)2LN4mIq~QGPbvyA}`W
zSF>@Z1AOW&lp9h*#{7e=r^9rSy<|{zoudhCJfI(Eu=XB~UE2k$zv!aux#Hie+fAYN
zKdLc*JQ-Oc+RQR|^>9XSS8m>6Gq7fTy+_kr10Nl&6eTU`;y(NGXZ}g%@aBUG{cEoV
z-s=CbSawer>$g6}3lA+o)p(0{j+Z7{jr#VDvFl<?*2|dd&6e=<oa3Z^gC@ees51{0
zDflv`wLGui3QSIa4E?~Xg|J8Y-O`*kzL6CytsGeM<dg1#8Jb#X`An8=@S+yRj;5NY
z`2g6tS&83P&_bFRy?57?1|~WMzBu0qaAvE5gXEYd{+ik5_gIsR*KY2X`z*_V8@vLU
zF;_Hk*RI-y5nDAhoyWQFyBR<#Vhc_Z(!?Q?v@_k#D#%bdo79-VfW>y-Dakbt82!w-
zV&bvJ|MI8&@!1UUDO#*x&L^XwSl9Zjuksi-oRHX*!+@ONf$X1+>d2WdXm;9E1~+}J
zP?$|)z-ikXK{FrKFp?hbqTDKh1)8@rJ|1Jh{p^9A$?sKBleMj&>!~Q(7R7Hm>%@Td
zmv6q6B~;MJuKp7I5<=FJyXg+13@G@NS=jMF86W93Z`Yb7;h@_wWsf$1NvG`l=PoOu
zPh4^9)dn7PQ+(*ql>jikrB3Nov?AUMxA4B^z=^`K=8=V_0PVFGB)<>H<2Slkc+?R#
z90?`VSl(GfjJ+H&(j$vT%xSTgv{*3r>Uh~%C2LSFVd`WWm&UEn&SbkEWm=<@0+&gM
z6@aSc*%3J@v~S<OCD7v^A;s9?J^k7e>U<Tvw+2X{8uifm-Nh?JMk;f>rkEuVHOIoH
zzlh;cuC(nOWy?f|tXK8I8b_|fF?b#*iax^IU)g&t6K&dKTC^&2m>Y<&?N$@P_O{OX
zy35PNouaV2!D8m{p{|<B|5pf;?hMVU8m$n4ePyGnL1rKj<a+!1tRS|VkCh3U{Utj2
zGry;`nu6Z5!yzFgK{SXOw%5Ayk5DOYP5DbR1>d#=f=D8vnB$=4Z%HOh^!Rfq`lbmi
zMmCtO()p3DuA$4q#f<(%`2zZ!Cct=jGw!VnA8M~gr_KwrV1G8}1&s(gh(>(Rbu{9|
z*aZiHBXm|YZMjnx{@WNXOr9GlKh1-eCQ6Tthp?fx<Xo+$k1<HAG>gRi<HmFy=R-~P
z>^M0#p|S0&5s<sy+M4HcBX6LJGz*OrMQfJySl4(_SAJjq?I~`goV3)^dCrAiUp=;N
zA29^g^QIj;Vz|-qO8Cg$Z9M4FJK?r3)DY&1{ycSC%fmk&-$mx;!{p<l(avmZ9xK6p
zA!(5td)?oM`F`d{9{aE~hZ{6VWr#+R0(nrlCcfFNMF1nVhT5E7<AOm^k28ah7kw<n
z70V_Cu_nJBjM}NNpCjkRr+2(4VErbF%C~lZNVxxcc#H}I{;?tNOZkw$N>YW(Tm(zD
zTX)#5?fL!M<JSUS@gvus8zRq6iXtt1W8Usg11NYgS8h79#>L@dQZKv2aKOt(G9bkO
z-o@<}UQrjsqU{+Yw;Uy~ZqQ1J$=Lv|<ykv@_#ucgl9zp2IwUbHD`?v@NdwSVb8XP8
z5<>pfnmu`u(%2PCv9bN750gQ1HI;e77*+hiey61@3cYMzJz1*{b)Nm*Di1{PZ=S`E
z4>Iy-eLvTKd!argo|m1MBt%g%lfAN&R}oj`b{e;3>H|-qpR?_l7^=LzLp~>|gj2$C
zN7QfX!=sL~CgwB=4B4VyQB70EFY>>av-0%e+KV%eftMvQ`emw7|8A8vFHq_%eytB&
zHgYLST+%obwR*ediYlfg?x%g8)Q70C53nv>26ck+S9;pjaMScXruX^=P>#hD2dw1q
zx5w|JH|5CKB+-c`XAB^Vd)NH!6?v4se)!w_!y2gaz_7b{!T>lWUF`Jy6mfd-!Zt>g
zCT4AawO%Kf3Z7m}=L*;M7spZS&RlM7bgGy5@RpwjN@e~etu^i>$Oz^nZPdXtW7U%F
zuW4}4=s#N0nos*(jw;^~NkI^e3YxiU2=?yZZ52FKF?D>n-QkihKBp=ATAelmX8%b3
z%U){8CA*jRaf}|yxqem{IcE&{0nBW_z0}b?3;&8M>0{!#yQfw1=-_!qPBeWN8M9?y
zS4r;I$L0F3!$Z9$VDxTzB5<7s?mdziz2Tfb3KRS@AC$}>Iu-ner8KdO(O0b)r;mb_
zZ!I-K%z<luL0{vOCKfLW-cxkd$KdRfHlG_TV0P){(}Q7JI5DaI!edSkE&3|e-bq`5
zmB$vc;e-}`wySTL7|}%?Zxd&=z1C3Zm7D(5S{o1V>D4-#KtV!U@zD4NfNMEM--Nui
zG4drz{#>^<P9|~`<+lP{G|lsDaMQ-90}5t+KQ(dp*Wvbv^$bXIP)}@?(nfRoPQs^_
zj1EbZ(H-|0z-P?SRbQlq=Kkw<+Q+D2g_HUT$8iSuJ$m_VOh^mmLX(dbYpY;+KYMV1
zoDE##RJ_Q#NfUXp**QJB74iDQ?wKW;4LDw@P$7A1;42;Dr@S;dq=u#5)me*E>YOIn
z-O0%Q$S?cVn!g{KEUo2U%Y!0;+$T)bu_^tM6^Ta-rFFqnbA|y2IrJGcb~SuCxzd&x
zFNAJ;Fe9*%0V}zF4SjVgNRIhh@~)E)#aomHyTTaIlQjCHE>0Ocmr4?xV>!|Bi8ZH{
zIs-EOvgo%MN*Hc!SLeXVihA>L#uo1Z%w|a@JJ=QRuE8jgSNf0GTIw?+9Ri@TO_gSH
zUk;mxv@Y!FTp&)wdl|eD0Z6+pXcxO%1}~1ixgWb}hWKkdo1D1c8pi6<mhV!faJP5v
zUf-!nqL$yf`u<%jP)_@9W1%B~$s@P7%u>e)PI@}^`G6(db?;2h-6)1$FFW{^tbP&g
zVIt=Rlq})AIZwCr6%jnc{*+s*>L($)CCwqn#{#q+)H_C3g)r~H`fU+`KZ$SbJ;%h0
z%t7svrQf5gf>_ofa{IdC2+_mcYu`L?2Jyn#?u~1nFQ^(bvi0^a;$z#27n8ji?A_Gz
zYP}~Px~yK=xS?j02zV&|t0mJE?k`ry272)zy~sEy;P3>IRq^qv^_&UV?K3Kj&*Q@D
zy#jp2j448LSXO`2b`ub_7cRJ}&50RjeMR3aP7@pnGitw|)4^k5yMEyaJBl_n9NqkB
zhDc^xIlwJXhs3?Aiod?F;bPi%508#H;@j98<@7{jczH7N`W-el-1Fq({h`SPf_m=m
z-T1||ITdQv^m1p#_N$MAFK8?i&h<0r-vk)J^=rlkY@b<>HH6P;OVnSYEMfSC)9@Nc
zGIld6&axnV+x;W^##V_Cg@G^P-iB~Wvg-ifP8NK0Z|ApVD`q^h`5CX$APsUyX-oZ^
zSa7huHZbKn3+|>pS3TlS1Ha>Y(<2VB;M=X*Bo}rztdUvS$MJ^>Ceu&Kg0oqW!|v+g
z)92VRCBtxhK86aXhz^hDB^K04tcuN2;>1^TVV8D@P+@9lBXf5sE57xmd53j!A$$M7
zON;^oa9{myV@qN~t9v;Qxbk_>yKA7b$IbwvuUTu8>e;Z3(3(ik<U>1c^IKbo_2D9w
z<eQMij*2OHO=+bhT#(9{>%X86+CP<cx?JZ##&(VO+fN9h6i;Yav#~xD#tX7|Jmtjq
zf`cy3kA=|huf11yiyr8e(qFWXbK$_Qib|7z!pJ6VIkMS854;X7yBlxeK`zh8dGQ0H
zxGt^w&G>U&fMb?R<{iAq`pK?mc|;5~jT@VKt#x5E{FYBwEI+1*N*$WNAc2{Z^-KX>
z6nNv|vV-O>fLYV|eEgfGaFlwe(=e6-)EU3d_YVaz{r!$K6{-w=+Ew<0%bEg>-_54#
z>xFOw`TDj=Q#o83uMyx8qCjFqdCIy)VH|x{^0@ba0#@$m2`*aF0mUB&`(tfIk#lIP
z_QYpJ4EnA+Tm4T50(xhq$_m8rW9<2~0x4zWV>#g*q)35HA^W4|*XC|p>9+X&{wnAa
zSD3TIn*#m{2l-T*B~f&v>;aFrYxmR%r$7F0DG<Q)_UMNMX=E3bekyLIj;{-+LjLa7
zh2G-JWIb<LJjPKnw~ipA>*+X!XR>-wFNy`-?(!&qHvP}3jhgtaiLOw>sShIJU6Sr}
zMPzN+)27^~g-@4%-k)3Ja+a2%qsQ7EC_|Dr<qOim@$5GbBi20Oufx&m-auu%QM8{w
ze1(Gj{0u#tH4pivaL_O#Qw5VluUU15>tS1m633tv4T@qG8j@R7aqoneUBE$oWR^^9
z)Sw!I9{*rp3yV5_4$*yB%VvO+^huGohm9acehX8AAsHuwH}-6eGr-Mf9h?;#jN!;o
z{M|pE8u&2htKqdi12i-5dr=Q2AUX7la`>1gPUur>H3g_xleSOF|AQ$6uB&iQjncw|
zZH)CUBr2x1Nol4An}cV}<A|&K)_6qsy;0a{fbz#}<(s4}f#NRU7^|#<lGhemJADjL
z`C&rY$7(A$x&PfvbEytiN;k8smFeT_8^#o}CcrLgiB-KY1v3)@TsiOS;lX3Ihb;yH
z+PaG$Qs@9hK)SyaRMXlryDpr9LJgvSGtV<1L+E|cZFvf6bkY7Dn$|+`l;k8K2^%o3
zcoa5WuY&^{u5!K7*T5TrTbGK?*uZ_A#$P^$I+(0<!ZY4c4GkUFSIB*|f!1Z;_C#N8
zq%+lyHSSWzD!tt=TbS3usRWlxe7;)P#&tOK`nWvakNwU4QD7bXnX)=#Yo>|fq{0Es
zASv9LdhA&~(>e&8c1$cDA!EcRVcx@@qBybcczydP8_2ggxxwwEI{plK8S*4e052Ur
z8Xa`Q2A=Fm336ptL#gE9tn-&S(bRGsxx>K*)Lj?5w?(R8H??_hLn#yLTUH&Uj4^;5
z>$5{=MhTst^i5rzoh4rGyYyuJIR;otT$e2mRz&T^>a-Te5n}7~o&NnY45%{<`RTGK
zhkTBW*Hx7|h@zS|TTP1qZgX(*u~B4juP7xo<Yk(5$;8+39&-SbrzIn{=Oi)8nkC4N
zrOo<#(2!7Nx-~G@j!o6_i6g}Q_muzA7waXj;cBd~0+wG5-aaUT(add8E+@WOJ0~WD
zI()MPdpfBt_?{5HHHPWK(Sz0ni!Vy;1S~<zyxxuFumHZDW88kGHDn$B$C_bkV*zHN
zW?vcOyqNd!o|Vk|LF*Sx4|cjon!{|;%9vdf7w#DPED%)q-Fm7*FQcHs48)pL-()Pa
z<HXD1T>IIt*2}FVHXbH3xR}+`CmhX+OGnDt6dw0m?``<{#df192+D5G5O!cjruA7-
zmq&Z7J8M^C<T6d*$`7Wk872RS*4`hfDIFcw`92*Z+otJ|`76Bn=eA|yq0^($=c%pM
zbd5dVayHR{g%p-u;j=(YfB3$1GO^CuvokBWv)CAJH*bDq)Hh2MWHEY@XJ1&Sk9}2m
zBy0>8@=g&-&;AgCMHW}3yb`U2*=qJJM;ZY;wej6*{}f^MW>2@h_7g%@%{V)0?LIm%
zI<Q{GZIYO4{jOCXTSLeV1ooPE7=qHiPE{F&al-#!K(7w1nJC8%c0H{$c;$CL`V`M7
zVOsXx!|YQVkrA|nn;mH|R(XuM+3Odf%T(0m5%Y=I(#{hQQBMUrd0)Y#)CiHVTBU@t
zpNSBblO`tiRIuD|oV-o*Cy|{U{*iDWAmDs{LPWCxjIqUKmY(}T)a1Eac@}&lo^bL_
z$!#})eq~E{HQgUXLY=Pj6P6)DNLll*Sie4u^%~t86#qely`4Ug<o|;xioeC{6rc~~
z#@PzamOltQ9<zyWXoMIYtPbA&R}Yv%DPr$${UD^93(KxYjuMgbhst)Uuf^l|{t`w%
z3D1Y&GDEZpg6UMCM4+oK#EaTq^<y0&I&zJUNAgS&?$0cO63<iMD2XBYll>Q=?)3YI
zMCvp#(xR7}QmX^1Qvc0rTmB}{Ep1~leTHy7B)%NPp##?`I^)Cnqr~g?8Wo-^vqY(#
z^CQ(w+VHMsQ`PxR;{-2hQ0nr~JmL81N6wuaT5xRdu$Z#gB+=EiXV>cdBH=ybwQl6M
zCKMELHbf~+5r@fzS1V0c2tI+TbF8+SP;&KrTkfW50xVziK=D7~vn=a2=DQjYe*E3G
z=9_<rk1sawt14!~DP^|hzw8>Yby&GEhBQmuZk6&GQ)NNk-W{M6NQRn8&YH3ZbHu^(
zkJ}y+thhY*DE-cWI)ttN7StZFK$JO}TxdDXj{e6#|E=4h4%ronnps{;#Nx#>8b^+D
zVqL|PUE>{U@L=>`%$|f5B4jMdk|&uPH+(WlN%l~KfhrE}kHh~6w^cXdR6j31+G*%x
zGNKAOw$67HUNPb2{P$vlhe`PN<$I6&r&OUS-}{xZ{+j1R|F~d~DToz89Hr$7s-X40
z=H8drthjLN`J#=QFg9lIEIHSt0!<!t?c`JJSRC`SBlx2TcBS@3>^rRj->UcR<?-dj
zH-U0bm5RmiHOcANpq&b|Gh#L!ILVE3B7Fj_PbDx;x#R0!DHX7~Rph(e$cuV(Mkr}S
z3cI$?POvhmz{WX;W4@b7SobBeV!w+l?uxX8nk8irA3Wy*34$n+{+ePmE00~;ymQI?
zD)9J&#pE3xVXS|6{L!nQinw^|8r|JO1p-ATDPJCoU=Hg>&OKqu7+QQ*=G_GqD2#Kf
z@{bn7avj|hR3%juu#^sWVOE9v7g*ZUgC%gK!^C&fs2cYFFy=70rwU0d-xUvEk-`+Q
z2C3!_GI~Z?TO}S-gTj0f{lGpMoDfQ2ob1)aj6Mx(k3@C&9{>RV{|uLRJk@U$$L;N2
zTgcw7aqqR~_t;8_k`<CjB&$iHq7;(RF#6dldql{%Pez0YNzss5M%kNw{ynefk8@tn
z>wMnlJx4P$e$ie8W&Y`Dy}m&}AxZbryuZsrj@O(2vctqsihZPSmAo>#mAi@2-INE8
z_n%p$ro>V0Q%tvnL`16nr{28?A;1I4m#ueCOCqVT<I7ryN$8v;*!X@_g4pY(K}+*e
z2qzrBk$aMiI2dqRoR&l&Cz*gqj10=T)c0EIq$;`-`?uxkC<(fDsmz5H<q)r${>M#B
z4dp(zBt9=!h0`TGlFD83C|vn2rD<6WHMO~Oo4!&9cZmh1>{A5PTzl~Vr@uP77Dk=E
zHLVHyRuVc(BZ{cnBx)-(Qyr;n6*#b(>45g*wlOY!WfWY~t%(a&N1R+=*>Sacu=`#r
zl<KSsGW%*UxV5H+ZqZ~t6(eEb7;DD#QJ#ntsz>i#!K<OSS>>B!odBig={(`VL^N{t
z@wRdc8SO3wE?Q3;LaTx_=YRhZQBdx?JA$GlBoo{!G%{rbBbn82ZX^;>+Y!aP(QeAf
zXTx|%{<Sf1@NA4fw<99Ie7C9*K?RhPc3LFC(F8oMbcf9js35gc-c#2zq|tF*t5uOE
z6X-~WxZ`=s2)sk@)rgCu9On7H_e&-~bA!=SOhyS=PF>;{$rM0*rylcbFPcD-o2liz
zCjn`vIgFjj;Y4>|Grf7=YyyRjSGLF(<&hdAwXhyFJ#w)2EUFAJ0a<z&|Li7<>OX4u
zhC3}#>PLNlR#BUP?LXrobzNyB*0TTfGmQ=myLo-mJlq&2D=d9wI3>{myiNHi^)g21
z<?J#wZv;ji7JnoDh@t*NE=?zssGzB%QJ~)02+WqRtG3n(Bi0n=psjd%cwjht@<y8>
z$eO$v<Zlx|3v`2pMjFh}l3Kd&iJBp#Oi>Xm@O(&dlwoL#!U{JBdARkT0mS1UYW62{
zq0k>|iwC^eq4?d0%@$z*wE(6E^xZi0nXTo0z)2ijd24+$PZNWq<!`6CSC|l9`s>-R
zA8~M3DvwUg&;XqKKmQ};(xO(JpfK$m4l;a}P8ZwjgB9036j8WC={EWh^ZqRkX8pNr
zb3*jMIf~XBPq#vOXLaC`=`|c^Idyx;<?F&9Pfxe#@M%h2b=8`i2o9!cT10I}bwFL-
zl0-xJLW#b})!IX0he<}uOk-&sxS_5bdF5mP1&@z8TX&8f6wZFEl@8PfN^|)UV~$T4
zqs=$>3j}u1AS&w_wrYWUviN}__6aP`fGMAbVXt0Jb$m@s3nmv?OUL;BU|ve~oh4N4
zVDk4ubaR9z@Zn;=dPyx|BhKuX-9_0USopq+&YT9s9G6TL9$Uq%U5%pYJ=uY=U-2-b
ziv~0kadMsZo0ubKsYz=;JE(TVS4{V*!;|<M)*%Ty81s@tiPd==n8g}3Ra>cpw`Iu(
z#v@c9H@4%uL&gJkGx_V$4{FfhV`8q<N)5WFZB9^ebAWZw592a>HR#AVDauQt1^Txg
zi*-31&{e(){o|@oW+EL+PNoBo^S2j_4{?H>n??2eE2{9dO};t)A3fY@Yf@5Y=YrMY
zCMm?B3Yo#qu0PH(!cy`18r>-_2%HRJ8Y(5jPPesw*iR<NE{G-a4s(NPLPEaNaWV|g
zJP*0+!2%Px&ZY6cdBDCrOe>L^478VT@qb@ug^tI@R<YcC;B_v|XsnV176L}}irMVo
z_WX^)ydyuDzHJI<@h8FKI3bP2(|9mxJy!axVIMqauDjhtCPBuZ?!x9w4(J<U=}f=`
z!6M@K{ad?4kV)R2V$0wJkHeyQp(8>N7HURl=_kUqOo0}=5-vEsb`fLF5{Bz}=YE`i
zNd%gO-W`??+<@~v>zQ&>6ex1@axUpan5cTceu<tJgk!3N1m1|jrujLou17?;^|nZW
za)b|xf9?HXuQ;TdcF+7tCBk|Nqv7{bei-V%oO^j*0+{O8bEHa%fMfhdA15OKgC8S=
zH-x32<xKI}*}Z-gej!_(N<k1|RcBRkkOr&LM};FSBye6jsyO4YADp$`{h56#1KrZu
zpGuFD;5Av#j=&=VzU_zY;kPU>-Dj-ectwI0;Y|IRaZ$K=vHP8swmgJaj;59?kzqj9
zR;_GY48qSC4r<(00KfYFd*Y2`P|Kh?9{58XLI<f8)_Mr=Q?^Q=;;br+dL{dfk4V7x
zdXr2yW+lk?$X7n9tOh2dy(>ABlAs=ndncf%3?I&=W}m{V!#54Dg~B;0kfI-_u2WWl
z-`!X5gtKY@mo3Y>&7w3Uwi;O8rX@m5JcEFpxF#5VF%CAJmw^IMj#W8Mgcp}CUhuZk
z0>>;Fr?gR7NHNoi=Zzx55cYWRZ=5!S{(Jsvs#y+#?r`WjJS0Lvs~JcAHywCuUfAgs
zClAjx*0X+HB?3#xr2!)~J(&5L_&`rj0VGx|DppBEu>U-^))cJ|e20D?t87yMpW>n?
z<)JFT%#1ZY{A>VW&YJQW1OiO`yGd26uMC7>zUN0+09cj?e9uo4AUm7}eikW$8Zua3
zNd+i)Fe;YgO8_m^XYpDe6=2i)OOK?WAyEG{wjMSi!0h+M&}(nx;Fjykb^l01NO)eE
ztv0IwkL(VVE8La=-72Yfu7iev3!6(a@K6A$UrX_}Bq=DpM!x)j(+IpT__d3c$-~u|
z?jXI-;=rTxWUPs71n(?v(Rh561A`AvSA_XQf#bQ0PnWI{++o?xEB_=5GFh+flFJ2Q
zS-KbJrECPW{M%Fh4Ki?&b#|RAjSpgM`HDB$jG)PzGVJw08Upc6M3HeWXzu-T)M>~N
z3|{~E?tM%OHbpl5kEq}w?ODf{$P_~em@faZi<g9}xlAAEFEPW4^x-_e!-mkrN3XBY
zDGnCbeP8D9<;Mv%{*ce>01Fn5WP@li_*NcM>zP0W6|X8EsHFqYo$_yw%n^Z*_E|gW
ztWE5|JFT{43_!O0+{nj+`(Z^;j;kVS1q+I^B4261Apdao2$@3=_yR&wX-gKcX1?=L
z3mXQoO7ATGeT^S}g$3P78<@jxB>pO{(l7uIUfHcGIzD&@63pz1)0m?CxU1DAeJD5o
z)8M7W1JXxFBrAA+VLbm4c?VwUfvCQtRYnpQX!H7{a~_()7|K(YnYVSp=JNP{O+HRo
z=<2x8_IL_gJ()`DZK?|#cBJziVR*ph3rsY>`Gs*e?eOR&>A=c6IpKDpJ$}?3YU0nH
z#)g9y4&+a0gRciERgsDnJY;ugFZ0Y{GRk*+8uhdRsfhkKD8~%e`G3yEZ~w*2L)F8B
zleHi%_HVUDJR^j&ez+{3y?_}!BgyovYr=ROy7fnu0W?(^KRrIbgtbJ4375KP!cp0u
zp`mzsxS~=fR^+sTWjfRQGq!1fxv*RThbSHR@dRuod9Gpp7BOjW)ihu&%+{OdBrS~C
zF!JlhZeZMEnjGJrsl%Bofel(+G$41?pq{OJ3!_4s5(dKRAR-|FH%`;QrgCIk4Ph6n
zGnQ{0d7=iZ+u2V{C1@arx#q;pV^rW<>ODu{Q-jENl0=Mw214~3lMZE3!_k*%2ZvKs
z;r@rVuQ%9ffU?FFv`Iw^iKj-cXo{;stFguOH4PfLV(`E&<02j0`V*e}y@(8Mr=xjx
z_jYb%`Ip^)yY!%B8Kn4Aj|`$&jkPMj_v(Gh_D{1IVKPC=$*z|Kxc(3E34ydQ&w6nu
z!i^dH$_i~<d`RG%H_p4cj}ENOi?=Tuu)@Axc0~~;63m%xzEAu?2gu^QQjY;U<oA#c
zbQTa{kX|cjpp_o->P1EcJn`^qpX871qeN&(Cez;QVu0Rhk(ql#9AH1To%-{i3S=}{
zS2iv)0!e>>`ltXGxHvw$B7Q~%o{D(Kbz{t6Ba>n_9l#Bv<Yca&pOxXZi|ONIr7ZBz
z$=SnWj0bFRm!)MKmBBF*ry^_02Gph(vj>Ctz$V~&j?6D55Fs-=o}k5nvU`(;z4$(e
zx^DFRNR$%j-E6i|oy9|>z6SrqyZ|WhGf*AYQiABXq8&DBPRI?LvUM910)E*Y9nKv^
z82MoEtV5Cu2nA!K=Qo96vv*_a+n^%kVgU=OC%Hj&l+~zMNDQuLahF+kD#GT7Za=Ex
z0VSpz1|f&Vp+I8(sm+igl(*g%^Ofa;qKx{k;zS8}G~b(hkVy#wo37HnsN#p~)pz;E
zrX^u<vq5FuK?$m?wWdu@2|(o9OKRcc(qMBbp+EeC5=61(k{T3*peC))?`e+=r1Q;h
zoVuV4`uZ=&xVeNuvavR^%w7(BXFFrgn5jT1RmZ;Ky}V0zix-IaEe|VPseA^qM98+k
zxcMMW42nN=CH@R2z%c<fUgLHm?7pzQaI;1nh6w*+Sa_5GU#*-JeU}7G9^_w+dt4i=
zx@r*dpEA_R5YuUW$Pjpj`r!i(DG16fQKw=iLhhW?G=rZiJW;grZ#9*Mrng+I)fGfo
z3%9jkf20P!viU1j*JPj{Uxnu~C4ouR$r|VH>foirUoKlL3vBY?zYA(eU{vIJy~11*
zvV@Y}&-cqg=Y5B^F?up|-_5zP+@%F459(^*_vSGYt5x@sCIk1|Jgs#v9cY>9W*!<>
zfD6)-J?$K1NFS`2^XJfmJkooWBNPIJO$PbuG?Rcz;5Hw=ULU%MJNBUgif}4(%nfu%
z5KhSxU3A5O^zO^_&b%W0Zl9F4xJ(4qJV$+*%K$ZB{bldzD8aEdiWc3fGHCCPv*!~G
zLHOkeUyy|oG@FDI+tU?+`@adIc!wdd{A_zDv`-1vmK+A-HszsNs8+Q4kP#4tHqs$q
z5y}?T?pce=!uJE^HyO)}AYH(;n`M^(w6vpfpd<wk@voCS7L8z(E#l^aAOUugHv^-!
z#36%WL~V@Q7>><e-hYNc0lM~^mw3L~5B#p<!>WA7aB00f&aqt%Tn(s8J|5)<kB;YG
zY_^SnA?~Vqk+&>_-TEj@@5u!mJt<Uz9Y*jwA@FzVk~HkbrTj9YVFQW8!t~*YJ>Gp*
zXwvkT0^xR=s%&>UAg`!1FDn_r@WoA!?Qsbx8&a`S{knyH$_=<0-em}?mh}gNoyB23
zb0)A@bpab@ae66v+7MLS2x%5IqF~MQLhY5wPfRy-U+dB`fD3EC#GStV&@S3nGAB#H
z0$G!9o{a>^%x`u4j2DC#v`5%u8rvx*EY199xdDuHHbu#o`JrKLN$lX%5G6NgW1!d!
z10`*vlH1I@P}DP$Pj(rlK#9l;M;`-V^$6f+>EZ(a@Bs5P#|g@Wq>DRWl0Ibpx!E7t
z$N{}qul|11F-b8K6`#s}qX*f79Tz3vumcUx&uUtRDT<Yt^GBCeUGT0woX~lS1$NW9
z=;drDDUNhEbKFU~ke#rl#(RPh3SZ^E+g=!_7@JgjX9np&aLa9P$rp6+x2ODx1LqiJ
z9b+7wuGNMWDK`3WV;Z<!+FNZkG(wp=+E&cKs14ky^b^jqR4~9oRXYCpD@A5(pt;;p
z3oIYBmldXMW2Si115#*^^08NP^+mZRe0$?LCh5L`8Ps2lZiwrnh=-OQE5vDn`ltIs
zeUDeM&7!|G{S6%ylfTSNp#d83wV@$xS$P=?SdVcRyNxJjKhCO;eNqRm&`YLQ#TGGN
z)8*pNG6j@1!D5*bLv>&!5ni#m&tsK6u@AnPrC|Aq1^Y|O)Bx{SKJM~q4ztCKb~#0B
zF^l%|6ZMj6;BqD+(edmIw$D-=O&7Of%=5X<6{)K5<+am2Q{UfM?=!ub*RkE$Y{T5I
z^Sr8XT0Pi$c3=vdvj`M9^0Xg&_^5%pH;D`ZPf9|PQzx;4;DVRQBZJueDv1^fFB$H6
zs(t!bHi5OZo%kuc|0`Dgi6ccUjRacNpWZ2QPGGt2Z}Z(1N3b{kZ{~(2N$|_}v5;5g
zIL1+=>Jwx=iqTO*cZT;oVu<z?m++%;3=6to&>TLF&2B#|WW$IMaZIk@eaSdxB(urN
zjV7_3JJ&zI%2t5|zD>L3opB6YV`Wb8|HdR5h?o7|D?=`2rExWU0&|xjzUzyb!3Lkw
z>5K0w0j2xzQy$ex>^pHSYen)8*65q>_fky>wCE$&9r>m(6Y<7zvkUW>LFY^@Ti_mF
zoDQ}o$^XLYvYl<*<`%Hy8|AV4UJ?M8+&FJ`{x??fc1HvsxrDvw`g`;3rUIz^*Zwts
zbQ+V_l?is#UBMWcCjYQlD8Qu7vO#9dEM`p_4!+O7hTZyc=;4ply?ksVIMn+5!7MqY
zzgY@zV9e<u!6r*`aHmLIH`#C=doocGon*6xnQH57fQ=j=lcR%Id>61P&*icAwL6%-
z^c3?%r7ZZERGvIovxwmjE{x16QNh=JiCqUpWT957n5tfO8N1WU8Nr!B4T655fywvx
z{3O};#ZbcvCSbMCvRjoF#-|ApG_-rX`bIn>6t;%-#62-w_)7<Z?af8qVbVZ-TRGj$
zcLS3=B0-Ze$N<|ZIz0B&dp@`NWQpqj7G{n=?&kED3GPS-c;aHDKtWKxv3q<6JD(J5
z&!Wc)zE<>Qk^7}!)c5t&13fB8Rq$%sZDNO22}bPvD@nLDE0;R`oEjeUI45qHaKMX(
zmyh!tB_WoI4lCEBg&!iH&7(Rwfw=AXPM=W{YN8Krc<=QmH7oGK|0*{qMZC7Zg(LvS
z&E@gCj{#&_E04+@;RSvVhCaq935dtuiXEF|f)`z#yoZkQ!wOH7PmQw#bc{8y?^9-l
z)T8xlF?R((N|YvJ%y`dhHI;=HO4#9ydisCKi$bt*_!7M}CIQ-CQp=___IzAk@d5QC
z5g7Nf6+UuQ0<L~1e_5{Pgh5}v^oUw9sJPES>AN8T^5HF&sxI6h5^(HavAG0H^zhh5
z^hkgY!?6##^1LASK=;ekiX^l>F>)R-mV~GVi?VPLelXT;yb;hMy~hE@0ikh8@EcWh
zQN#qG`5t%8lL}ezR*mdQs+NLb4I|;rSRr_Jabnq{Q64T<x%ZrYD-AqG-`4*yiGaD3
zPbXoV09IXA7or4Yq2bH0?_EbRu;}x=f)h~&HeZ3r|6a=hAwY4Grd1qfgk@rD_q=kq
z%2_4$r2-TUNov`cN<!07%8ZUJ32vq|B+jub!F5sA7nOrjz!lBPQ{_hn1*_#9jXo79
zXse~7zA6J!f^AjCS5zSir~Jqwf&?Fh@h(ncav*v9g5>fkHSp-SOE0rig&L!A;eYM&
z5FK*yGK2WuU7mhw^xY|SU@|N0CY&WeV!VUNy*zce`?22NCu7eSygT2>FDgRVncxlg
z5p@_!&-bKa(1FEud~eF$y;){o_q4NF9rTxto(M(hfl5aZ9do=2#H0jw3!AD#uH?hI
z+jtBt`G$+UjfrqAu&?Hgs~W7A6zbty0H}I+E2NT%V1ZSq_HnAhhMn<N`-~wlE`(`b
zM?|=LPxBJqYwym!J22(B$NeXt!<&O^h@fWNEEV`|&#!fvnI^i7p{jacx=R=l68>!6
zKNF?^Z{>fMi(fE-bRFxC87?Bc&D&MipOA*bx&<t)BPO8p{zL#;REA`On$y|l;$ZXi
zl|TlsDV(qKmc{&(;GDmKZgjB#FsL*qI_%YL)l&+bo)JJXWq#D*5+}rMT}eotGyyS|
zS3Gou^3d5cS)ydH$2ZI84}T??z@@*jyY;cMFeIRVLHpPrOeaa%F;L6|rgIMd@;V_6
z51VfO@mm|DOov30acRb27r%g=l9q(BLhj0|``0KfH)`HKU^WJ;4d?ZlRWT5a<1Mf;
zra_Bk?vpM-Mo=VO?D6HLF!1flhbY)HB8+WH&2`Va>qDmO-xUhLjgKb^d6-#I%1eW8
zHd8}*sZiRZI>HMv8Sac1lGzbF67?;w1mGM|cCNDLf?TClm3+XXA@RH$843X8^ZDHx
z1RTiX+Lq4>aUiFPxwL6347}MYM>y1(AV*{_+ryRvEmg_{J+m_a<G$`M`#WghDp&5g
z`>q^FcQIdp(^nsS#vh^Y?OPbvRhg&t2RIN>r)|<FP7i3PE*H+OEn@Ohfp(1&9EjE1
zB=2p#E?o17{`YPFB(`;cIx%z#k8F2RlNDBVKqAiGH=?lzlgdx?J9`h0ihWP`=4tD|
zFa5hU1I*2ox}%(V37U9hhQ+x$-O+}pK1>qKQX>@N{;?L<EgWi&rge-O)`H#~RMO=-
zO-Y*j>NYuyLu!9{xuUeRAd=Tg{p|Y%%Ii2Hd(d|r^6ITYAD(JL#-ks$O#fCWZgUr+
zW*G2@WxMv;Dx)S)Uky|h{Io&Qdigy`!vT*voN+Wc!5V;E)+4n}?@)ZZQWZl!;*sU5
ztk;tTb@1!;2_AK#Lf(|_+F}C^R2!D@=Y_vIaQ4+LuFp{;r^7GJ`3g7?IjY)_vZMx=
z>f~~~18LC>!<k$rB~H{$mCfCMT@4gPlt#5@=uqdS+-vOZoalbYXWcn=HCU!ww^?;#
zKy6D2{w3GA&;yosQ<+><XkV)`rVKJ7G9{Arx&=2<o5%@x2C6U-QMh7j%Z&J>)F^x^
zJm^*F3jeb)GGrdOCM`M4f-ZcLmXaazB9EsYp?>$tARHrk+cJO+S#@k@ojSyayfYlf
zoD9g&Ufoh$!jD7Dlsw<4NPfgzv_><uN&=_!P2$qt{F9eTYVE%4L$R*S#s1YKaQ&L4
z);hp}*jy{-Zd(eXYb$NVuWpb)DV228v4;~m6m)u34GST?#GAG5$4D?K<GR1@GZ*UW
ztGMbKEsV~lyz?+3lHfsNL*%g~Zlro`@n3_zD2nI&F%J7kpsixQ<|D?7iu|tPzh#Lb
zeBF@07aIxq{BvGPoZ>@@;}>*(J`+a~TdT9**hwH3FA#F>6+ddcGNyU_wFHuU^Eqi+
zm;?oH60|qO1kfXE<2r+3N%SYNY3Hv#32yy)AEcTkh=lSrV`P}5(eKbJ?B4z)2x>UR
zFQK^~?awUT-8PUx0v1BcKVOpI;IT8^cB8_GEj_kwJ5&~>42y-&v5{fYwy3!;OB8iQ
z-BG*WD2F;3v%7dh$v`g_N?EQILy-!vHDv$Eqt8L}(QP!Uu)6Q#caB1Fl!1x|473U8
zG0zUSX0|E_8`P{uXG@?Vc_CrVGm41g^hrMKgc{J^vvDA#OCkkzhaHbFCG__7fV8%<
zIt2M^I?Ja?A<JovLfK$tL}+%u*DI(2r=J9IOFfoGN3JG!?LVx7Rx`1`pG7sn>|~Rw
zM2rjy`a=4AX<h}n^_@4`r>h0z6Msk3F3F-_dR$#KibN!Fg)>aiTN^^H=7!>}<xmvP
zOE(lFq6}H(qQE>Iu&B+cE8>$!cA=N~3-;b0)zyDPH?0ey_XT7^n&eSk{}*g|R0VlH
zEhmnt=tJ1fihquk0vfTr5+pC6f+lgkA&UM6U|KD7NB@-qy1S46Rl~Ltx;#)5d^-b!
z_jkN3_*WE=w~1KGp+rSg8oXIy=?w6MxvqttiGVirmZ!`{70`a4F~X5A0KKbQtx|Ie
z$T`ozIB{JLDapN8xMpk!-M2p^)8;B5w-<#r-D5K7^~=DW1IdQ)JSS|hT1f$ACI6Z}
zTq%VrXKsHdd@=+H)&|4=Sb3Ds>0tjmL;@Y2vNcKGHU##1ubcX<a_ElZz|#-rV#uiK
z^>KPOBRD#F_QLA0Ec(%QK9T9zesqUH;#fPq5!`l2aA^M|gWONfh)O!_Lqeiv8WVdQ
zob5bWxmYKS<gO(O8kX~*)_|Ps0b~fVoUcPZB}k!{*ltF?&t5)IcbguGG6a8Dzor6L
zNkj}iW8cfmj<|*u4s#e8!cLjru7R8cvN*Do#wg2#E=PVedbI@b;_~*9_e)~PC%6#z
ziIxr-l-tT>r33t)t9kl5Mid3hCl>5vQXwuS!TX~o01Ydo@8?W}QDhJYQSJK{#a2@4
z=lKs9u*~;a)$j|U_G!PkH#KXNw-M)YI35f-J#V*Yun3@8R}xOVXqn=F{#5DLJzhA~
zmo>_Z@*@vi=puj8A_WeLeYlsZ4~lWS#m^jgQC7qgPxFHdloGS^wzeaBz+lec{-%0w
z-=#05tC!DHPUaQ95|!5jlT8cl8a*zwo&4KjvS6O#ANrW-?j>EA;BUzjnc_fi41SP>
zMHVP@j!*2CT6IAA*14}tzIenPr~LiY$^s=jc}OHvPzOX$@ZBO=vm+O-kIF+LOBCJz
zqG!u4Xv0WCo_oR-Ry1(>-goBMWr|rk`J{TU79{c7%2j-4MpC?T+YzKy%Jj+SR3ud`
zVE+C1*V;`c)V7KWA2X~|$~hyCW~OLD#Z=~evkN1#w?3${Mz={>B<x-erPBlzW_hQ0
zKL(`7_DCd1Zks|-(R|-<K?5oV$S3H_=@Ao~hC;UAF6CaFc&E#hIy7hfHe{BdNAV5L
z$L!BhAxrsrYloBSu+5xG)zwIc{s#a6|Njh^cR1C56vu7ZduCqSHSWFkyvNFjh)PA2
zRlkHtXvkhgD3QHFG|;e;?<dKYNKuqMl58@<&%ft6&w0*s&UxPF{n9-8R4%T95?%VJ
zQS@|B6*i7D2zE!(phGv6aj)sAk+L;|zLTRWj5@KF%=*%xWKmvyX+IitFgn8T>Zl5+
z9#7)2+0SoFJ&o=y(V{MRAV=Y;0{k9!vUloe5QeB3S!3xD*(m=3=Ozi7!+1)<xM)%B
z8w=JQ4F(jhA<fWwhXf+t{d|6RY0+NH=Rsx~CZtk?n>Ugm!LI9g(~>+LifoaukY8X%
z*22y+FEAodhw_kTXXudK#U;w%f2=4$zempU91%u2`hrqh>CyE-Pv7Th>`0yC@t*Ag
zBK)(?jR<K!fModcqDnq+piM-Z!~dE99z&(mK?@A%?M45o9R@Dc$yBMld!7JX=T@&}
zX)+;7f7h6M9^B}<%2&leaRRK4*o2vsFr(cQG^Lh5c#!mT4>f<2GOW!GO)%=QB2nKi
z3y#Zt=;7@5k=kR*5Y=o)SF_EAVsOPjs>KA5v}I<z#kvw~FSk$UFS8?$4xLNei-IVa
z@8Z?qG9^epWcPe*hXXN8`dgnL6GGoVJQ*;*q6FtUWk0+S<3jg;T|KYAE`o}*dkU6p
zmEcshzNxe$H@feTH1sT049Q*kQ$ug51V{D9tV}9-P_mgw0d12wYECTp>wiuO{%e`g
z+!5nLuTsu$&QVFAjn`$f*He{%^Sik%>r;NzG<|;XnXM$!=<u3)F|PzExJ~6XTR~Jb
ztyI2JDTVCPXB+9gmEoaakzqHF5c<VH)P5u)gZ?&uqd3M)fZG(~QrfG+NMNPg<JALM
zRC2cATfj8}5Z<LHDE<*e-KTyRZE?z@saHI4SrkN&dN#~?VNVQsJ4jMfCF9Zggl9*7
z6cVAZ&OuX>3x`&7#cRe6D59d4jY)2I5`^xo4SZ0RKvE|8Y%+dIsIkgV;iZWRX#0kV
zrS12fc==!Shel;&9rc(!{E#a6RjCRH2T37oX=nfJKmsE7jyt)WSA!G6I)MyX(nv&;
zV(t7I0kt*tTTz#&gXU$|8TDEj#O23&mhl)7`Oz|_Wm0K^EJdEjt2S9=p&pdh8Bau<
z$#>YFU)6%3gWgl)&2lInGB<tFiD-uR!Ih~^ZD5UkTwY!(kMLgRcaT33i85D_gkp3d
zXEZdr{~{js4Gnn_4ieF)46c?KE`7*RvI@1MRzT@@_n!QBhk(xLmemqd$dKsDYTkTF
z0bzNYH8&EJ5qCZ3aOW+6fR_;gtN9A3Ec=pvRe>UE7+tqB#u-3|(Ycc<xeBQA*bRdV
zZg^xb-KBrM+yDqh!x_j$0Zp?M&&f^7qT8o-DLiq8K!VklwK+V(k9uH3+R{icvtZpL
z$Plh=G8<U~9?i%+Rvo!1fyPVf9*`>x;pI)AIpcHkX!yX_7P&?-#1s)*W!7#8)2OLz
z^SB)PqZmuiNfts3g?loDRzsLf$F@49WYIkFO<<8FAJRM>qWk)(A+T3;GW{5kM(zyd
z_VO*9DBP7Y`N$1JxShp#CN@wC>B(F$I3L1-)Hm%!yEF`8zSBQ_n?Vwt>~e{Y3Z_FP
zmTh>3DFX;%#wGQo;n2y$-9<lcQy_&Wm*n!}48V-Gw)UrtIGXo9wf$1(FV>i+-`6E&
z0BwBFZ+;FDMHjAw<P;>&V@Kb8d1dhyVEw82oOhcL8v1y%$xvtvYiP5|wYJ@#Gf7B&
zOGOaf`uNhm$gu|_GVsePc9DVloYtkuCO))iUwY;KyJuLaj9N?Yx;`A^zq`;M!h?ng
zvXQO4Rb;jUg;pLC`aqsKn=|LZg~}2aDr5AU$yfrbs?;$(2zPgyT)NJIoZp$9t&Z*>
zSCDeQe2vouiVc<zM+4c=9O<^qRo+f=n%&O(*(M#x3g>F4uwh1lXWVHHueOr^MxUKe
zrqzL6CXSB#HyMz@?crwMe~sjsSc&A`!`h(KJc{eyphM48XFYzkye9v*W9*ierUhf#
zlfF|J4dOrYyZdij1X;TL+}pYtO*p3irL(@13fbDsRwS^z#H{y(Jz2?`kX}6Hz%NLN
zqGUIbDeDJ}jUkZkT!sc*h`;{mfyo|L;XAo@F8&iHBhKa=wxteBnlWK{@Bd+TN9?c2
z)qlmf-cQ~JXLV@C4M%r8+QO(#5t*Xse_$pJhiR|0szEiq&=_fC1Dp9S`jP47C>Dc>
zC@-n0!P7SMxYX+}CU~cd{_5-mmOS(5Qd)^B=(G=tG@GnrReQS*ujOYj7AFekL&B;M
zj59hkeQpgKy_`*L74RE_(XSk%sVXpW;E%If{VKL%h2K{0na8|#C-$tlRUks{?fV?-
zRg8BGoiY$x!tmdu3W6VyfYGl{wU=)di_|9Ts7x+nJ!0;&_JSn%WE`5W!Lf?<CtP{{
zt8NujmtOqYT|k6YCIi+P%~gzsPHIWNXdTPv(#!p(M1(Tye8ZynRZL#a4)6MS1IzaH
z487DqfM)_yPkR{GFu})r)&s3u*i4eDQN&RKRGmg2FT7a8@}f=z_%iKasr&-%nxB-x
z=7E0rM)*3`TEES9{OTUoM|ocODvdJyzQHV;dGjw;;4)l8K}U%a8_pkUCo6$Pyuj*m
z?gr-gqd%?mA{9b`m#2<~E5hR@{o~T}o7f|sf&ZF+Q={?i%POQ!1&F0xy!qq8HkKZj
zP*)yLiw@U$vF8aZz`UH;7I5xh+J%$-n>O@lF-SXQGyo5{K2z(>xm|2NI#%VHE(2<j
z31&Y!AP-4rwaWQ!Q6L5iM%zPnOvu)S`T1Exd8juHdDEOviL^SozN2&&RCv3mD(AHv
z%%{*f=Z#Y#C4<RKGe&mwWJ~{X9Z3!-X%ftLOlZ(%fB^e3HxBeYu?K&rP8P-+mTQAL
zXb~>@c2xEcPDC5)%gu8{7Dkq~&MXGdqa~Jj?Vmy1Xe{|a$o+X4s0mw8jX2DJ%px2}
z)0(`<(vgc8mMsHxzSgsMEt!y|fO=l47(behPBJZYlmYf8r?s+R79{mE2wF*kNaXIC
zCXbQ~XyMEs=8dr-hlxBsvY!w-_5KLw32qq>na3X~Cv%{$Qw-J7qavt}@aEYGP8q1J
z*eqXp!im(|t0&yviJ_zox^uC38MuAA{mns5ZX~&Uy`&3|Lrfv>5B+wPfePj?t{hW5
z$S5-Hi+zOzsxi}R6htx*`<|}nUNs-O$0TC$?uZnMk(X6EVIm8q#y!bg&jk?MTc+F<
zS{bzUD<2Erlm$WeYs)F^2T{r4%TegFEIK~>JPtQ52aLAY`21N!koLLBYxiEsqhL>V
zBOL}jxX6t;^XiD9l|!akT!ji~vZF>o`icS+%cqFPhKVC((g~jKG$r)Wj~9Wg5>V{?
z?g|>fp{gFvf{VrkbdUaT^&36{l!c|{y6H)x*DTsw)v84Fb-vo%#*_#==R=jAJe5MS
zbcQqkxJgJYe}VDyBNB{PD*WdvE`yv+m;^QlNhtM3O(I56h5K7?>a_NKgW(A)E42_6
zwA=TRA@Y|RgcPoxK1U&sh)FGWS65U}jmt9Q?{*Dv&vdXWJcUQsQ`#>0D5@eazlw&8
zE-lzBi~0H>RRPh2ellvqsiJCrj+C}39SAz+BSQ035j|~wK|0)_f}|pJ94rs$!^zTr
zj&XOD5N_kv11X#e;wuV%e3u=7{<7(blPb#S?bZ7$95N)N+!&ay#%2HyH>OlYl9kaD
zQ`(!X!vyr1@>gN<x&eH@GyifTPZ|B7B@8V+Rzjg4-Mq)&8Up^VhewZ-GEyIYRq;sy
zkAyQ`hlx5F0VcOOme;O?!s@JrbG>B{uG=xLtk(#_=X|A`rxj6ts_G&+RRVn*ot}Ot
zU<`tLXL_XHDj>ZNr^>k=h@z+TUPi&H#xTq#6%ld_k3P#^@o{kAM+J0!hThV~&|p!^
zbf;Dh8D^jq<JTO>1~~+7t{Op#`RAi-n=(i;q%l1pkseK6(X&b{HiD#EZ!MQarO~sZ
zvi0PQEo_4Se%NmVBRCQ9Zr)d064lKOaC%maVNB^1g@Ij$P@NY3_O2ZcP0&49PG9IH
z_h*d%`FUhNt~6Ts%wG)6)o#D|-n&44*QJ-$*KPojaguT0EQHa_0%O4Q&<*mBkjZB>
zCI)cUS}oqFUjPaB#6{frxl1;2P}#vD07ADX*IX(u+RhDq<y1ilo)gj<%=!RPE^deL
ziCpNE8nx?b0yXSentvM#AwzehkXv^nJ6gzlaP}P^4Rpti{2Gtf2MO~DZAo`#G^^7S
zq<xzPYL69$*B9!+v#KRd&NuYPDnj4Pte6J=^_YwMHtE7Z3&kpL1T}gdZ|xKiMFVRK
z$*eW=I`I5X>vg>MzW%b`f7z%@1GdyWhI}|3Fg<>u_{zTCl3%-5NdBOPir6!scFt%6
z)dRPN;kadt-t4ZUus=0$q)SkK$=3qUd4pCStyxS&K3L9}nHo+W7vg66qY0Lm_k7yp
zM=<#xW43M2sDO6ljlaPD{|yyAEy?`48|yGX9Wv`g1tk#I5|gF@q0M<WUr`5RYuiWD
zPfAk3DJpDwZcQDIpD-XFEpI13*c4Vtq@;pRmu?lzpHc@n%hWp5_>G)DpBo{vNeSm>
z#u2<%1FPF~^6Oz^<nN{Q&cB$cz)-T|eIZc|EYB+ZS6DnvM!9;WC-td7q$@mm{E;fK
zH=Efak2&%|iR|jAyHs$PWmosBkSb){zM44VxkyeiY};|%r2@(Yv7OWDDsal7|LKe9
zW%6(&AGz)>H7t0QJD(C%ft!EQdKThW$-VzFPKE#toY+dQN4X@xbIZS>h*>AQvhdz3
z=B5S1{_NQpITAE}cL{lQbAz0bY(qZEOb22Op{mcSiEt?=yUG6Q7P+x!$^Nq}J!ndd
zC8%2vfyu0+rX%nlnbB+|uHN$iWIra*lST=EyE)>Rb$gf0=#?us{FMP>?YzROZW6$t
zckvhFX$oNHRWdk!i3!@@w-!za5#Yp~S#5=2O0d_tHxi-50#sb4ik~8sq3QEP_3KJ1
zKul9*LSk$ncz=*%xnBvQsj`0*Z&AbX?*Hmp3)rDP*^aqhT?y8`G#^qq(1OH=Yd@zx
za=_z<_sxd#6rtdG(5o+B=-|dZm-~+VT(F%aj+5b2gie-GdR^}WK!dKh*@be01?4T~
z><k4ksJ_MOCc_A-S&L&I4)DV7jmTrZ3JTEvEv+Pph8ZXaEQIS{^1<b&`54DXJUAKJ
zhVV16f{ta6i++RvT<%(=R1U+#^vyXlq7XYso$s?Vx^@r-zZNZhFvWwvja2l41qZAw
zn9@B=69#YDKm$2RJZQRmeG0zE36+l3-Dp@8ggyzlFbUuR?{|wYZj}qx&xXfckQ0X&
znWGCaa(HkvGf{o)#{&yR#nM?pIM`yILikg7c!^WEa+sA5d{mgN41P#}GM$v())PDk
z=ud1ExAH^Xu+!bB6H?Irt4iEkS^=&$c?qNy2*Ode7bV?e(h%y#FMp*=0p6bSejl7A
z1UhE_J&6mEh48@{$K%C{AoJvjHGh=|NU$kZOvuWE1dhCxU!?^6B(+!4fnp%y;(Y7j
zH#{5-zm>H`Nq`pClB#R@;!rUm)>(Lae;)~hLIZ6C_>*CO-fRE|PY1S6a;qqV`9R;C
z*=r(X&eK;h3rGTGcvaJ)>;66Qq-^jtlYpXOmcjn46lgfrbgu{#LFqHYG1(mz@Hsp>
z@}g84MotKuGa@2H)Y3L`pH>6=)V|9P7G&ToPlCmq0ST^QWA9tPtAm<_;eAKE9K;5-
zEU#ve;Nr`rE|D9W(EoI$$L+X0G++8KP}xX==x@Y}DXQ9#C(1UW>yC%En3S%pN)r5y
zS!0*m)d4CWhWxFg3h<SE>c;Xp5=2@W9SZK$gGeu-_DW7gaGD%yi2p={gpKZX!+T`N
zP_VJ5%T<KS_$cq}9Rk!b5-)`30jSb^I{9%y5k?Qk^BR9w2K_eoJ3{UT@Npw7qhe1H
zmS<~z3|c8d@uxFqfZY%_sO`+kIut?P{9m2#C3%?5+PUYOWeBO?12aAB6d}YysQmI#
z8L;sdb)KO$f~cGdw^Qi~pz(Lhr&UlA`bAOKPYWY(40*SfT7ZX4ny0L4Q)1v}8(@;{
zX#{N6Q4&4@^01?s>gSt%5Dt(H1x+s+foOW=)OTSys8tG}wEe;ZFLcJmuI|^Np@`w`
zEs%i)$=g5KAFzXTt-k*&b|cWz7OTu<lLk${w%2`Q^iVVCYD?K@2>wNM|4h9l;fT&a
zg2%@_GMBE*m!qzRprPrY#L|ib!QYELo|l%%Ww$a~bT<va<9G9KekpNq2_JCl-Tgtf
zl$rU6VhrHL#DB>t{G!l$FshEO`31&ieDtXtrvb?J5k^hvgy6VMO~VnFVN71(;7yiH
zfFo-rx+Mn%z`H9xEaky3EOIKq`?MrLi|niER3~02Ds=tYWwwZIOWM2}bRvUmS6Oan
zFBj-vJSqMnWf{9$$Zzg+T^~+yf9S?t=YWwtlV`cJE0~++;|;qkJ@7A1P8}>|g^fq1
zlCMKnvF8yEA1y!V!gZ-qn~Ww#cx&}Ar!s66JMx{Vd2LMx)_S_Ee*-=AkBB{#+UKEe
zqf<j|3OeB0;#M{;Km%_lZ(6N8uV9CIuGZ3fYJ<X!y*riWlz;>z53&R-W0Thfo=ui(
zf&NhK$lU!MvVR4Y6~Ffq7D0bFhk08Q0>o(rMP)b1lCqWTmM0gn5$eov2}@0AjM0CW
zWw=J}C}<QQh0kO71zDTE0u4y&{wr$wb&1Sd9@$*vI){x_UBN!?s)MKWWY5OaKV&v~
z2a#BpS<Il}XkyzwZ{i2k1ERfW$PfOelFr1=V7v@5J>ehJ;IpfZP1pBvGP^pK?>{(&
zb!|uIW6EmaqeoH7S2s*n`QzPJ=sbySq}+--oTCbT8beeUn+C|!s@J?nc_%Q<M+Wcz
zva7;~t={HfWiR<rFmw6`%5ltBL(DHDMg@{eHLg=Px08i*wcjm^j$t|4!&59&DnM#`
zh!YKbN4D>bRl9h36ss89URMq!!RmP_k<{21<aKX{mhPnytR|b=bCi+<HWOVemXt~4
zm$5M>xdkKGQa@c3Z442f`{b^!t?zsO(MY=!VIx@ku}fKDY(zNN5`SXt#VhPsRq3ac
zeIJ3-Cv@v(5+K$(9{bM&!;*7+tJU6*U}j_4??vSakpFX{rl6z=GhTD!bCDdyGT)Rg
z%LXY!`Q{&*5Sun^@_cGSZuux?9h+^%T%ZK%{RzL<o4PQ`U;Gya-Nvwc@XxTZM-jS`
zA3i_8(t{0!YF@r#JdV-t{mPc2SA^!aM*}g$&)6C5(~5f56Bu#*lMa`m0(7jGejY#h
z1*`9AJQ5#0iEZkpFkcME1J<>gapO)u#+v-FQ*&+#izWz(F}2DA+i>6+^PX>5_`RnZ
zMd35ppGl#2-#F!gUG=pvJ!uF_a6Fdz!EzQmDEuh<jf)&`4p(R$ef<;5x}aw)b7T%X
zLQ%T=uv!-O6twbOD@QQa6Lc>&Z_i`*-0rZS;gE$>hf^DP#K*AVVgEqp$VF_ekw{+m
zkpZu{<Dby8aqLj92#TLv!eRxiN>6;2hRr(Lpj3xR%trSS3*Ku5`w?$Y?yn;a*Quq5
z^vcuNYG`_Xh{zfyV{xqT@M9^+ZQ>5=QTT<ax%>)9-C4&3&hi!v2}nV~{qP8m)4wrm
zjpMjY)=eyyJ10{)NfN3WAFtTd|H1z2H*K!9-^N}!Fg-lRBndlN4vQTMi<oP|6TXli
zJJ`=fF=O{T65v_Q$Vbjv!WIoLy)?6<K-zLQzeKZ30H<Q@jtF4|o2|4rTOFcA5e#~#
z<}z@wSgac1I=70kRJq$_CsLzNp*<1b<Z(bcG#2^amvxLflQ}fXhZZGo<AjTmI3(UH
zh}v1$z<MQjvmC?d_qpw{T%)5nG;ZUnJq)(78<FqoP1_kz2}l2W-JTd^PhQaX>)yc}
zY)%JGTQj2!ab`_}GBJ>+O4K6TP$0UJTj`GcY-l2f{sQ5Q80-`s8EpJPiGprrOGxo>
zAdE`5EKNWRUJUuja;H!u8TtXCi_M%U*y{5@>^o5?))zN89Y~8vcQf-l3b~Q}*Cnx>
z3!<PU?%K-}PmdZ>{CX@adC@GV1ZJlo3P$$7T*dntkoj240^bThir8~ucjpj=lNLSJ
z&(AQU=fd`XE_fY8XPpmZ#S4qV&*+!Sx>9VYVqVV3OHu?ihsh6C+KU3$UL#M700;Wb
znAFC2R}AHt#{W3jDhkmdANoyNIFWvmhu!Qx*OTavJh#&ogE207YR(*P<U@=Hi9Zr(
z86WWKR-G99iFXuY%I8H(0X9{Ry;A6bdeoGQyEwFG98&G;<wuLd4PZVfgU+6LTRdfq
zgT@_}(R{Uoi2s%P8zVY-<h*OX%HSdaID3JizwN@veQvnC&sqVg1ZdEHYnB9+?z*B<
zb1{^*Q7<I+LJ18$i>%kbB@Mkj_nr+miz6fVfp?<!2*|6ZoB#2BSvbGE_oUQ80s(cy
z$+k`+`Z=mZd!7>y4?W&$9HEs$q^`SV2^1<QC$UtskwyuuR~Tr6F==F`Td5Sj&)4f}
z<m{uh1aPH2<h&Chi)77?TsD+aLyeyF91G<nKvzm{Ua*iy9vh|IikoVvBB<^u$D}II
zaR0ENIG}*+990`R6V%aef~~ZNod%F<Z68;cD<bZ`>3WxLb@a-rQpsmg3rck8Bf?3_
zh>`TjV7*)&<&+)KnS7!P|EwMnDS&{|^?9<5aq7sGnlrk|hYYP=M82l?1SD<2@v2c&
z4UJa(^nc8502G9WyYGdFNJ#d<-9M!&2$CPpq#ZSc-p?k!amGXxq(~d=-9bdO6dB8!
zmyBRZvwW~zorrM#T8nR#mC=9oXDJwt8N-RIlW{>y1oXY=BJ;eR{QmtWo#mr2fw&#U
zdt3no6r_A8@-Ijs)=;yX!k0|oAkE<>{$ypeov2net}2GU>;@=zKQw_0K2aidKNZnw
z9%>QIkGyE3v1!i!jtQJra##tT#G{#wz$6D|X2fQY09Qb$zgMYZX#zwi|NN?IIn?<2
z%l)H@o7f&zZ-4cqG58C6PVJtTK_e_xtsieylHX)S+dgtJhSf+>%5i!r^yE{IuH2J#
zGKwJn+wC-hYM*NA*<u```IpF4H$@HW)^uU^ibhcLt(Qz^D~4|7S-xSr#t2H!`~3ZG
z8v?8TS^q|9A=F4EPJhvk4T!NPS4@5xK+LsW$H56cbnSe0kH%RJh%UDKEpKH2hR$EI
ztY^4TLt>2=XCx;S>J6WitpRv6Ik`Th&W_HQd!D0J=Yr~apR2}r0JkOOkdz_@q?0&n
zntP86lHM5p%dsNEm*pf~%Rp-6J{7C7Tge5#Byu^8kLyFkT&YU;n{7<X$vJ$lgbS|j
zsU~Gy(t{z5Q{lS>OW2d#438&~T<~dhhJ5p$E)=~X$$b<X#eAltqic_GfhcL_O4$b;
z$m?Uf=oFNRv6u*w1aMs7PxWG9jz$N@{MeeCd<Mzwqs{WZtDNBV)Jaj&S{t1B{1hYF
zX2}k(s!Wr6IH3#TdTk4}VB_Vh$XTNm@|;h~!M?Yg;E)k#mrtPuSGT<!wi7qV$_}A3
zm+Lt}v-8Hz84pcJqP|Ff(P@X=e`#0`>*j=jWu~pI&l)iQHMFmClmfg{Ur~8)a)QFK
zA}1zu4bT;|JoJ5r3Uc0y*OqH@K@QdF4e|$dFzrgOJKIGA9TzkT&!ljHd-2LXd#S_y
zwav;yX>@Rj6r;sO&kd6i9CZ%8YCx#V+a0$$0GYIzGDi2gA*3_DL)29bPChwbxA>O<
zil0Zd9@63gst9JKhAmYHR_bp`%47m+E1F*yHhI8pOW~(|x+-vtbaXoFvw;7nC+>5f
zd12RDAwi6+3QqFh1%fA8AyJH)ldX*pL^d9UIL)a5S&Lqy!-5^M|J)`peB+05Ws25|
z`6|$B8e1DA#{nmm4iqxb2!hSvmzGMW{rt|6%vyF%=)C;)hmyrX@XEV8@={U-Hl8_@
z*ivx;C`={Zd?Ey5KT9>}R!QJZL&rI^#|3WuWg}fOA}|>o=4IDKf~#q7INmYxz{_Xx
zTulw4@GE*!*m0kel7zG$=}Gc}&hp6@1Jz;>n5ML`o=1Ybp}te6t@t22cYYho5(neh
zGX(Z*5~PLwT%L^PheE>O1&ah6*f!SxD=8+yd(ZWvOFaVcfoCwnK2`!)-;BNQZXm&S
zj{A~=;z8JH&H8*UUJ?XpwGxY_NHDhMGS8491l?)3N<7n~fVVZo%t}-R{2Q|MZt#hK
zcb{P5?_y~X5KM#V|5SiJlF)bkktp0EN7mI=%fKI3#?Xis6$o=Zm|l}B2E(2Eh|??!
zZ5iYK99pX2Hs|cienlKkOFM5Wb;-e3nt%0&F;(!o(P`RdfrEd$Rjpes^6)<Z00960
z43~E})?FNj$=+M`UXS_M+wb#O3E@RTnzS^G5*d}15|t7~8Kts{N{PnvGm@mNl8QnU
zQpw(4|DHe2b*^*Hb>H9H$?Kt5p06RwB&;eKl@(#_K|SGLu7PiHe_4gOj1VM#TJ^w+
zBGzu*V$^&>6Q?C7HB?)TaA9{Cv-3wKwB(4CD(Ps!;XD1nqe5diaa_}mC{o7Gno~bi
zE42{i*^>0-q6uz28!-+DRl(q&^WVz(wefj$@^#-?Q^c~aZ`0LQg@H*`wxXdnrYlRt
zbT62pO*+KyO_wUJq<z0RD5H%;>-G|_Y;&|u26nI=Qp4pZkN$PP*1|$YtdT^a1$Lc3
zLisqXhT$BY;vs!4+}R!dw6NR~Zx!2E!yG8!Im>a-c8ex<Xvco;xMzi=jm<}MPEjDs
zEpw*9K?4Pdx8He<!19?lTn+gY7>a#w`L#g7-kHQbk4%A|!-BhLS190J4m2$~u7)QY
zT7A4Tfw6&|();&O;Ff8+pXrMVBtwIp7Y2arxi*1EA{2ZcX6Fo(QpOYhk$D+;8jik=
zPAkk&gO*7{rh%&>YL`lHOgYlfx6fJjJ*yg2osZ@Oosb8c4abdLJ87tu`*ywXKUG9O
zJ6WR`B8vrqK%u2QG&FQQ&sra^f_<`vR^A*^_~2eN-{nWc<DXTxH|8nheCcLCzAiCD
z1^*REu%@AFowji4T_qg)=$q9wEP^-Zf|uGPXn2<`yw<Q>5neyUwrj2vLg$vsnd+ZF
z-J?mT@=^tK7ZnW@PVz%MaAnTC1n4}_@0W5%9&aor_6q&v0UOns&2kU0rcgoZb%7ja
zDL4A!6FA|i9N2kW8Za2l3utteMcTQ?JnO32aBJeRvTQB^k*5h_xqGBx-6?Oze4GW|
zZ?9yZU9v(zA1Af<vLuRAPdz+a#{>pi`Sp|DR`~q*g^K-Gaj?p~xbiM$4eX*K9<|@M
z1id-U_JWNV92?#+6y!3(;K4eZSx!rIbbRK#{z??bw))-llVZfLxRR5iyDUII9nX1s
zzX(FAm^syl81SG!ke#o_9HH@9-HkfJXbSeEZJ%X;wC!YLimW+G{5B{3CoF^;6*Z|>
zZ5Y9t7+=X3Ylf*aC!|Zn1fdjF<5E|{h#hl##-|5OQO8O7z-J)<*7U2}B@V1XfBi|~
zjEgBUzdqEAi{ZyvC2lJzOD4!}N?%;4Hi6lw)SsG4KKvO4ZwQqco2ISrMQE5ni@W#1
zSP3r*eTJLctXWXbN(RX18N;*8=(X$z9$2v*{5BfGis1))b%e!@VWnfkH%jHfFUM_<
z9G|gaD<}7dgBeDMTfFQb_?#OY*=OSP<vEa?QqABjW(2;@QMs6KZqSoz%QNygF(oj_
z)skZf57mKe*R9-m@b342lV;oyej1x3scs0rT;s^mAZ|qG+Ff<{$AgCcL%Ex)4dA@a
zmv^C<8?!ZAb?55&@O?V}An9rV>G15KeY`wS*gMAC|AilYvI869NAwZ<vA-<nDi6Zc
zlDa<*3g8rbr`6A7eVplH-ka>i3$DkB`7w+_Fj*JlW2UQ*5>Es77$rUs%?agfRACI~
zM(q07qX$|2V!DbTKNip3AATGvg8tf1DXM9D;4=w7n{$gFJAL_Hw={|3-#TNR0w+BP
zhAQUuI}6}%XMp|%Q!%W)7uwRrqX&EU3hQ<3g7AEK@1!Crj?N?Tg1fqOvBQA5O211G
zj?@C9^lg%0DI9#UT%wDfQI=Gx=R#1@(fCp=CJo8E7j7Otql<y0p>xrd!uZJ9PEbZ=
zK-?6yE(y_v7AxDP=2s$U{yEjbeozilfdoh4E?u-nEU$$B5ru-wNVaf@Ji1t)eo5NB
zy3dPiZ`w7);9Sj;QyZ&*zwLHs;=^>oQhGUn{iHY&b{C#8%~6CTAEj~hk}j?ozYF8~
zB?0Y{<S^xzN?2Aur=VV^3wAB5ov{a`AR#Zol{={nJ#jAGa%MfGmPd1zFv*~9(%wx#
zT@{(e9=m6JR_`a%tKP9p7V)|7j>zs*gM)O=t%LP?m_He^RQFg8^6xzAQ&#zBC=u~<
zr=30~a&pUtuFGSfE93>GQ5})Euz9RUA8l<T7q^{N0BaM=`lb;L1RjxV{dCR%&m)TI
z3(<;L`T70B`Z-MugqqOzc^g7OXp;hWuo8r=E==9{rG?Ib720|;BUH#xn>=@{a!i~0
zO}0uKF_nz&UizzkNg#T8H>f~fqAR`7TL(@qb~4d46I{K0H0$50N5qF(rF3g_Fx424
zdvS*;Cd4#1*{@MU!`87>`w<;*JP3H?blwahH*%slYSke6BrCL{SqDvrf1WmYX%0s}
zO0L){&y!=#S`7Vluy|QbzirV1sXHbX4~$db*pa;`Q=$#_YOZ6Q+E(b|Dl*yTqmHY-
zMN-2BS`ZcT&WiOQFqo5i^6yo3EcS*hpYqg15yk3Sf-bPI$hME`zB)K03$=o3)G_@p
zKZ$pht7!`RXJ21aM~&0odDm$*{PKS?t0zRmsW;Qv8Gh<;4{CJ?Vo*hD!L|CxRsL&4
z{MlglkAhxO)3o7_5*lY2J)CaS;PidvJNFg}^#1;OGTEwtQEA`Gxpy?I`JL6a=cXFI
z-r8_eXZ1aYs{KDU^wHp-<va7WQ5CHUR>qm$(l~o=Q&ht@8q~*aD(c%+FfO-fyAmUg
zY=0Z4$4xXu_Wk_&vq2eUQptCF{)k}c@!_mD1vC(DF8l3El)%{EATe7h2$6s={S(17
zJlz`}(U7Q!8|VC+qiXoTDb(V!g-U~cDqH#dW(8FKk*q8I$O-=&Jc~U)faBje>L>N&
zF`oH3vb&5Gb1C|=4jDk1&5rjfd~)!6F}|NhV*+dQv}rB?KD~_ATSL-lZ2#ayKh6N=
zf|T2aEd+WBFDmf7kwmMV62JKUMPjC;gv&{sfcXaJqi7OGVv^S#ji@=oiQ2bNyTb|&
zK0`v4!)w7_Zd$8lIzvc2I(lP!u_Z!cF5arw5XJntptz3LQ$%8S>}bTK1zs$~YLaQf
zxY*yBMB$wx`1%egvC=G1S6z2gQ%VR=ef#d%j7$=TbMD4gUob~}Mp##GlK`Hmcyndg
zO%WBp9^d63FvIf2TMe4m`7u~#ewUYPnouUfntja8@I3lb@3bNxEXG$1)=*}MqZ?yp
z8#7EHs#@gK=gNb_x__@OT$m+JZXewiJ#7Nc&A)V5o^pY2W_Mhq@jMazVUKHquL+9H
z-(8j2$%z4fMe`z|MZ&~FDsiaR7_JW*V!CM@;MaJT#xJ`}xFqQ-m+Bb9o1KGY$%`Ec
z`U)er)fuplAu_);&j@cXZ=(C>u;J2T=KCK$jPNDyf8Hc&gh^%XbafFnFr>=eYPhxr
zr4eI~>@FDM_D5;^drw#qOrh=%nP39f-M^msyoN|x|I#V*6e}nhy@9v4vOt=dS@dX{
z0W$pG-2E2KiqM!cw}Nl1h`wMH@m|aTzUF`8I<K-~QL{FAZ3H{6`diJl7wDtIUm``m
zn-xko6?Sr|ulj3FeEFQAKE5U<Z+>pghInRuzn&Q`WEMDeXuVnG{8GW@#b!1bRJm`}
z8{k2er9ey1E<L2(=$=f7WXH~wHiqB-_^`v0J?A5f9t^Aumt34Uz^k&wL{LxwoI18O
z+gACnQ9qlMM{uIlb~%%W5XAAZ+cu3}y4cg_EXL{01)-d`;aRalm~2}r4rSLxIggd{
z&dc0LW!~Ts_C*+ZmmjLOlT;j%Uv8w&@_;$-&EysrQK&NqGaWifh1cb!tw-YdFsHgm
z<?UXJvXkyk1M8?*xajvaHk%)NcDr+HpAyGmW1hRCYpHN=yzZ2mEC8G8m=s$VNmwsD
z9(~-e1ACJayPETYuxb?CUSKGV#r<VQ>x*?Dk-Pf>N2w5)T#p8OSjyti8gISlr***j
zjW5=<R~X7Or*)?v$id8i&F?cOb)Z&y*ZPpws;7=KB|ZBnj|&4o1dgQZKyTlqty210
z#6{X2zrn4z>fe7{=U?gI!<$=fj3VN=H|1K^;id#Jo<Ym&yi`d2X?)>UE`h{4GwJ>t
z%IIcf(@S-xVx^~M$I31#9Jt$Db7Pfn1Ikp^gj_1#YBP348_MA6euqWYJ!-gGp`91a
zp^N$750sjD<xm)s@_4e10__a#I|oyA(Y^90PLo$2hlhl1<t#MtY}bx79d$jtRcaCl
zT&sY=we69kIhu$#!X)E6pa<m<k1HqD6tU!GXR>Kr3%9d+u82L;hub}a)J7{Mc)!sw
znb*{Tr>BSR)O`a87FLc8dMSf@`D>N10u?&)0gBgO8e+nDH2V1g74*b2xk_bFA#*_f
zNdA-&DE<tUhoe-%S!%QrK1xNN#M^K)!UTi$-z$#AsKH%i=7NN*F2Wl<heUHs@$FEm
zX2}5x7=r7QL)CO~y4ByG#%&IVPs-a*TC1ZywRY_YlP-cA*7T^xSs?#g)LGA2bqtBG
zSv+`;iW74mm)}iW!Z9u@|3#7pR6|umM^vZ?a!&eUw4K22_)XQ*t3J+-a((XJqm9E#
zR(ocA0LdSpl?Z7~jNIX~TM%6BwfUk$KPCW$gY;8&lA1X7j^^&OppLI&o~=H|XgHUz
za6Ra|27;1$A1mBZ!}dhO$G3jakhP$EpZ%x?zMq|3U{F^<J16zO^`_P+{&VBH!v}TD
ziUk(2Tvfz4NBg0*!PXe$-&~=`qK>21KU|qO<e|Rx&a~-SYYfr2AG&c-;4G9m!zUq)
zkqp{>ffQ><xY5Vm|ER*{g3O9npcqP2%I4;dSYz^S*HZo?6|lvPw&Y3*!$UY{a>2nG
z_KZ!gfA%Wl?c<<_kF5A%?3vLY!)1+od5!_E`IIo9arwudDh?n+)qjpogK24vqT781
zOwNpL>;B7xxr2c$<USfUyY%w?@{os9X!z_`gJojliT9`5xM)!Lw&3VEFAL+a1#9Dt
z(?m!{adllGz}u~MT*qG;i5Kg9K8TGGl_EhARn`Etj9ayJSOSG<X`zR1{vg;!yS<to
z6L=jSxv}7q7?gsZY{|CzMm!b0T%kN<g@>U@`jG*mFwo5Fy_oWW(6TpvdO*?&qLhS7
zMO%gOK26=>z`{Esba{|>`aetf3hj$@j$ifeScUE1o<<@k!LaUDiUpqC@8peW=SP9!
z+J%waR|M&m|BAiY952UXA_p^gG4gV+MD4mJ!j@*EbAaC*V`EOrZ$5FMn@8PSld+Zf
zmz}~l=3@qnN0+1d0y%JWKdaF}{`bT)A#a0>LQ}l_ed=M74I3=(y#MbF=O<!3nbg{_
zXoBq}T{8D}u;9nG|GpbN`AX!4Ki@R#X@bKasB9nTOt|?r;?V1({RICR_UNz&#(131
zChzLA20|`L4&g5ciD%}5d3nOdP-P~@&rulBX23o3*J7CXA;A^p6=j6pGp%7(nhe+<
zx%LxN=P2=m^}=k}4?`Sk4vo*NUMA8%77qp6j}eM&`$hXU8ltu5(<9N)B_hIQrrm}*
zP87%IdB?mqfWY>br<EfXiF<9`{z{ZdLaxSeMW431-gYpsqhWzqjt^U`(3>V6NmfdY
zukztsMsDng_X08hgg&#!b(Yxfu70!7LLa{w^h{?d3&ggk4o9}d%@ggG?nj+TJ?uTn
zspM$1KxoI?p7U&3B&N=Ur*^K>!{{pk#o@>W!Z9$HBhhSyunYL4VcVe#_weY`m!=ko
zkVHERj{yc`*@_xw?$m{f@9{T}3l<4~`QgPw#2UD4n#u2+qM}9OpvAtVCBnj4qI=7I
zCZwgdiSwmW@i6HfXTbGkVo5EwOv;i4p5s#$9%@vqeZla4>BkB|rf6*I8Dzz&-i*&N
z=XDVA`pW3V2Mn-y5i-hF#tx?*kyAfAwITZA`gmCiBMM2Q2J>s2@D(vNwNll_zb)?r
zd*jxCLnC$0?LIdm_HXJKKdA*ybA$G<3?^K(oPX{;&WqRL+RAAIn$XGC^J9C>3|L>?
z`R+bHyqZ#@>)kaGn7B1PSc(-z-QOJFF$+Ta8vD3kvj$8%^5`uW+0d?hfHmQW5Ssd)
zrEYZBK)|hg<?-4aP>f)h_GJ=*o$`9GFN5kRd1zm%HqHsjpUJ129<FvD&*x1WPphMP
z$Bmv#z1%pE+v(<XS`2l+FW)(6u8yQq!K&s(UR13+dTL#~1YCkPZIWbE#~Igjl5w>k
zy{E*BSnfz6r+G;K?iUI&-o2QuS?$%Gax5>-PRZcyunOacw-m7UmL2%dS_pktJIgGd
z$f49*w(P-Y3LLb4UU7dWjQMQ`-S%@U;E*U^#n)Bd-MAhT?YdDE4K{imf#Hha58Uk(
z>Y)y^@#AARdBqT%m~^yuRtf*Awl{OFcGZTO_n&qQizC%t-Pz>43N8(LUTNN|0qcq`
z1??Y_=qtL(dDTP>Y@f!QHkfN7M`$WhghdASQ=G}+t9=l<D{&&;P77y(PSQ#h<Pfp2
z`~6^r2FP=7WinH>p)%-Wp6M<Rk#Be2Xhdt_<wONbGdC5MghC*BK>?QydtBnIbil{%
z%YJ@_iost(XIeiiBE+@m>7fWJM#NQYwsGj;T5mSf2`yzDZ#?ERVy%nUZwfNYZ1j<o
zvsW@WK?QDGo>%uw>*DxnR`Z9q4KNjE^+EEpDy}@-*LmWs9yY=-a)fGxbk_Q)dQ}QC
zpB9UU%;-V!%E<Pzuf~Woh)zz}r4B7$=1?bHef)X3T;EZ&IuD!j)<z|3;Nse?KXy^|
zk-EjMWzQLNL{2jL%BN~VG`%*E{H+I(sPt#GA(n{Zkv4zsuLaf*aV^UMdN9eVi5>7H
zVC@jt&%~k)t8jq;=gYd_+8fQ4lLn~9Kdo=vtBtcysyOFksVGY@y1Q#P4VBlg9(j0L
z8_ngXyuEg<_8<epqOH6&ggN7$e%-E(jSQC+Mt5mI?Y>Cf@KbBdU!cZ0jA?=SK~d^o
z1vS_vuBmU)wZXg1GQ-OzT8LXwqs=^1!fk`UK6g&qAi#MglM$K--)(lR*Ha$bjz~QV
zDzpJ#;p1apxHT~TL_xAzKnn66KOe3uv4L&&21}MA3R*_P%Pj^(kokQ{hauGlCc_)Q
zsL86KubJR#wdcnf{-%{=cN^q2N*&l9sRBo#eTzXiSdo`J$+eTw1_qMz>Pat^;6K2_
z^w(sONd51v=}L|@7Sg-JN;wr_*K76b{pc^^<&AqAk5H|VbYOaO`Re~EkP#@3?WiR>
zrM6sCtER!DHu;y3qb$%bpzP@Rg>Goibhe71p(ERXX&0Xq%x<W@+(Q3FKb>s%W~L4x
zlXKd9m&K6yG5=?x-~|17afaKB1EBqUNNl~dC|-KAhi|Q(rsvez9P!K}Fzne?BOfe;
zo1(m1ZpzNlU5l7ctyEY+@Y=QPwpo5WNUs)OjGw0`Y;3n=X|n|1v&c5fARcg6oV_G3
zzd*lTyHRjxwd1y)UvOjH#DUT8l+;UV3v~9u+;jDE7P#HOyLGmJ1#Z<P)qQpIbU!cg
zmq$F!G2T{bdCOxB2J{;$oJHp82e<SM7oRtSZ>i<DXVo(CxnO_(C6hV2b&zxbbGs?x
z>#`=4L+1#q(_dZMY-Z^kkEJ_AB~9VSzPH7pZj!k2bx708VTS%~Xy9-}pa~eN2K0?`
z#t8eRd7C31)ATRlj!G}-#<+1K#@%mtm|&~ibIv$uimp16z?v^%46#=q7XF2NCrUo$
zC$it1qz7#iJ69EHgoHfDFqeog1oO6+9VU|#bhD5zXJ39ZM8)PF6RmA+#B(P(&#2uK
z^e|n|f`s*k$oP0OdS@p|+%o9YTfaC?&->yM`J&PQZfre9_P3*nkMFH)j4H?J;^sSF
z(9{jkBF8iwTvttB8?5`#=*l?#;E5*M_dI>{eQ&;~V%tPNy=zvxD|ejExojX4BdL#V
zCgPhL89L~8tX8{%-;LAnbww}yzN!aG*1=2f_I1%s)3okdD^1Y5cYiu6CZ&ht!^fsK
zhWF4@Tt02j$)BMAYN;ye&)0>YP5b#Qxjs6Dlf`Amev*D$y`|ewW3|7M4b`#^eW&j!
z%?_CpUcH|c5%cBBRX!OG^Ocqj(#yrX*{*U=(<9cDHmW;NVg79I29e)C>6=GqT4Z%*
z=xbhVDDkb-f#6<lj#!-$`aWCI+2r^vT_z@7V`@Mf-;P;dQaCY6*Qc<apIMlrUp3CW
zE-bE%>uLTIAHM&g_vQpk|0rIdSDg(b$~?4Cw|V2q+y`Uy&*9cy?B|x~>c@$O+H_42
zqKjt_vy9Vwn8UCCC|sf2vb6ba?ACzQ{e_pBhbHJ-RGD5ituT<G_D=_ns%u~|$@f_9
z*d)DzBB8p?X$|?#fIr^)ggSB}IjWytn5O6L7f9-;Vj}OgB_#H)dZ*y<jAWMkEPbz-
z$vbHm7IFhSt?aZV1^;m-FrPM?r{7O;{gceaM&1qUTS-`*->WA$uL^Bgq?c`E?5~|-
zCv%?{avF-O;bJ|f_1g2x^fZ&RYR&vyWG8dhjKC#TyrZ7n*dND0ZugG#;oZSQdgx0y
zKNL~LQWW*frZ0@--e@-)k6(Ob#QKzL@AFll@b$CXhzAq-&xJa&(^r6GT6*Q=XQBdr
z<$u(Uzs#hZQ}E!?K0(s|!`&19pI80i<R_N&fR)tXGYsrV6($`;6GMqJ%7{IxI`$-&
zoh<z{T6%h?DCt|-WS3&Ej7|k#EuW{H<hdZ5P0x3Vk>zhsgqjK~!)9tI?;-~e*`3_|
z`C6I;Ig&!}%bZj~VPaE!-8nw8ccfg!YFvsu<u9DIZ$t@~c{83oQ57JCgQvqzCdrcX
zRprmdS3MlHr_x=rP>{Sld#?I7MV{n87*69-QpUx^b;ccz!sLg1H}ZU`0?96WH;5Xn
z41V2e1tCFEGQGG{N5EN$4BL7vD7{}9n@<Wkbg!%>znm}Htj?}N>h!0FP-0bZ^#WJ>
zXAuc<@W;)aIp0*tPcJ3v3*1##`zPkU@kS|<|C$`<NDGBL=EhrnWUCsAO){poypSOu
z6+TfOc&|Z9l%{9jD5YR0$7dy<LOGJfaQ^jwLt13hDRaRqb{eo@ndFdRQ6T$tH5jTH
zsHDQPUal9qS{OUwP>^?6krb8i>2>DRB|i$}CXPhtp#A(K=g~1G^6;`xhd+lNX_C>(
z)x@uhJLJ0ZXAvsoN>lOXSCe{Vyyl(V-!t`~r181lkwuL(<NB0+wML(u^B*nx``;=z
znn&-eo~Mu<jDi&f{syFq{m`)s7Dn)R%ClLQM}tg%cK+|wTLbcq<H)3{y9tK4dnWE4
z(InY^4c={?Fd%dPzJKp<#tg=%`V+IOv`EzyafPYZ2IPXO)RrUfEl^WC3yT(Qa^51q
zRnEbH>|CUM_D~>D#^e9*TcHklAy%gSe4swrG(Pdrp$t$7)iel_rjlhAsm_-AdZgMr
z|Jc$h8sd%f6y94>Nnzd@uH(g2@@_}$Soy8he$-z__t&G6Ps-!7lAmjly1`r*#RF}S
z)+<jbn9w16W%7RhY@m?s{Yxp547T`Hxvu>uMTdMfuC}A<x-xlR3!g*-Y+-U&$UBf{
z^_+Li<sJpelL1XjKR#Zzg^YNuNAVp^(qPAWrq;I-WK_Pks`nLJIBl=|G|a3)KE2Oe
zJ>n!po|l_#6AG~fr=V)tT73$c@;kOZY%K>FWnt7VuWF06iW~jzLzNuy2|sOHGEZ-}
z2(hQt+8|ep-K^eRnJhK>tes}{g|6iB$&bx(bxz=(%T&=-Bqah_F8loMCrthGTkT(3
z!(rx?=Y)nlSuqsYWw>XWSXaRPqH?w0115~a&IZbmxeBEoAG8^8rE@a8tAqxz>4xK8
zg%V_%lt5Ek9}}WRb#i89Xt;alkancxTC(4;)Z={|EBwSc)VE#+{$BGXZ#M~%ukS9!
zw%f6zC_66TC_nIJtI4*rRs5t=&d)n)z8q*a{Xi91eMcGR%;p#ET%;1!ygO`|13Yg6
zk{Y$GAjc45^lp_8a^Hmf9oBLpXgT8q-#SYKA4!Pm;$1_Qh^|@h#>k24i1Uguffn$-
z^syp~T%gB^^2>gsbKp3I^=;4<b0iegYF(`+=^snlQd4$w;N5POCe2neG+roAALsZ*
z*Bo-#Kgi61Fz=YaDSk6lJ;{FV!uFM(?^YKja)%wK>{A4VeN9oo5Uk$8TSGs{J?R$j
z#g49~HCMhDn}BmoOica3m&AiB<S}0fc9?K)u54dpf*+jJIs3&g#MURr#F=K<Q2i;A
zW!Da41a@bs@xB@)0(ExfBu%iPZ!&PZUV{;0<rSg^R{K`0*Ghhbj~(YOjie8*&dGm2
zDD9KJ{f{_0DC)G|l^y;T>mHir8zQuIzru_BNrK{Wvbg>sJC@~ib}oq;Vynjf^2q%&
zgx7Wvdv7Za%<NjfjqRcV{s#a6|Njh^cRbZ^6vxeE@4a2~UaouX+4s0qb`nYyl9WnF
zOT)@a$|%`XvO-prbst1Yc1bCTj33#1<>&SMd;WONbKbA#ygv-Tiv_Q7ZeYzRf7y=C
zF~j3RS5u5f12$v7o*z%z!k$k|#Qyro0#{b;s-HYjhj&$X6Xkezu;WkCK%kQq3Orjs
za>%H|kev8~(~UGxPUkMI^N$Vo`K<jYDpiBcXEg)AwrGJRSoLe3BM0=}XYPtRpava!
zc5`J0^dKLlnYcB~2^M9IcbkUDusYyl(iz489{oz1JMCN$P}}(?GKdU3hQ3ux1B}qs
z$rb6?#0^IHWG#MqGSrwqXs)3!!3vmb7WVK!$qy&Tif$4tK90YiQMVV4SEW~ywt2yK
zK4!Erlmx2MLvA!SEKr6E=Fm3b2k|*$%~Asr{Gho}slLq$d3UlRB=ZH}8EySV)(uq%
zx>B%l`vW`F>(hQXtRe(=XY2f^_f$dnR;`TiYfjM7yIMf%5r)74kM$*GRmf&Np)5SY
z1se6qDlEyOFgT?9pX)FYJU`^-`0a3m(!-|bbfMz#xjmb*T}XtXqm6aKWL^-zW>4IR
zm4qGZ-lv=oiLiB_)$HaCKA31ru73Sn3V5G+va3cD!Ti%y)YvzEh<cX@((E!|*=>8+
zG@A&Q`<%FgjtIie!57Eu&2f-oOZbublL)WRG#8M@g@ElVd(gQgS$L6?THUFq3eFbf
z+J}!t;F<xg!slf<2sSDkrcza5<_IzE!$~oquqwzHyDC7uKjT3Q9TM33O+*AxB!E{<
z;FQm2MVML)Tkpstfj|Cga;u~iFh_Y!E?MD0Jd|1GfjSv7`I0qx@Y0a#Bj+Oip0L}G
zTy4yEGBh%1?MdAy13fy;yGI4+Yx`6lWU2v18)0nWgael-t70sL2#2G0<Of34VM#Nn
z)#0`*Sc&U<9sR8e8b4H$xgs^7qyMci;i(*KQuqDP4kkg9t@P8cFExQLPT$kLQ68iQ
zObO@KcJIxWbUJfd3zRtd>fR41z@IDM8<P)_fj!qk-qBoVx85k%X<QL_t-_JcE@wHx
z#a%{qx-d#`4G0=k0;-od>A>Ax&Jwe-n=ySTwf-hWtj2=}v3YvLfec^Xq}+^dHGro!
z+6=~*2|&2~$bEW=1jAVBPMOU<2s-@1Y=TZ1a$VV~f=`ej%Dy1R;v)tMq~-_o?#duk
z|KvuOtSZRg&lL}P43HX;=koG_GMKJ^7WN^jKy7*^^Rl`TtalH6j}1|Vt5=BN@fQz|
zH5<LEYK$NxI@Q|7P#L~Wo*7O(uL$ues}qb$6ri>`e@vqiKv0NVbg4-WybG}7S8q^2
z?o^L2#zug->Kl^R*>Ip~^h`>$kOF&UZ_fOufQLop_Q_x;DR}$h@blXZ6ete#lpPjQ
z0&_uaQRRE0AnZS5=vzYp+1HF^@nZ@=!%uhlNVx!z#0Ta-q*35Ml3pf9vOF9=RlPH0
z&I4J;WSRe+rGVQ(ztlt>IpCe+UTj5d@U<8()Q6*h16NuVp&bYD>0>Q+D~xdP=MoKH
zw-J~y*Jo;<lz};~!k}&~8d%clkk|L$eTOuAF6#v;&>3IqR+?SG{uLf@_T(}GPyRJp
zP6<iq@zefAOq#)_bp?;=<N?@KG=%^06$62+B<q%fVT^umL9E>nfb}5jeZsgf9Bm!U
zPjT+W$`}r}J$`|Kr=yMWo=`!!j$(|{KfJ}>`$w_$b?pPYN8Xt~O!;B1Jnt2A(Nk(b
zp7JT79YaWCk(5o+<Ao*H78Z?@b<{VF)bvQQA)H+L{&V;kH&nM>m5|bFqGo&wv>!fe
z0B-ab7(O20gp$r$rCg0Bs;K|YOw0>?_?^fevPEWtg|-XrquNxePVZRqn{hq3yBH+A
zaETfEo4?{1Bg?3-&bb?Ts_KDt9Y}d^?Sa_GFSBir-lX=rrOe*Fr3-G<B-f%I2Jm@7
zIpVKah7CQ`w4d(K0eonD&+}<IIHc4tc|i0XR+v$*;V-WP(YSmiqA4vL8ft9%GS-Q?
z9eQ$RGDI6hy}xSuR_|b3$!1~IVtrU!{vKZGKU%=}EVA&;p>3=&^JN^~{|9zBnm&8V
zObcqB_#T=(u!)TX>8-F_{f$Yc{{1Xfp$RXaOB%R6S;uUGpQ&Zl|G@+vwW*}aXu|!U
z>0_$8YnZ(FO~HPi3CvdlkJEju0n%c9X#}}dEW+KLI&gUkODp4`|H-NWiBWem=j~Ro
z1ydHW$A4z9u`7~o7sAz{lF{@0c;hn0Gb!@ESYsYj`I)xS&7cncO8f6=do5#+Ke?<A
z(l26_j20Kx!`0w+J3rH>1It)YUEH$7$P%V(G=lZAsX+?v@cD!G%h=gZ*X5=9R<L%J
zman#nWQf(Z+un*_#<<vB&n^$GVMi)fr@e7xsL)aGn%G{(sHyqcta~@HZ@d|e(iJ3-
z4esa7d$fXS)EQiqx7o%RXW7o2GbMo{m-L#i!zxCIZkTYX-@&A~4jIKFRrqetaFW}2
z4HI0{e#@^+3nTZIR-#sS|Lvr?+rN&lV=Q%@#G*Jl_(^l?d%q?T2rl=MsTmvCy6$s4
zH!lP56fe3yyQu;l&iqJ}YYX$qi#Z!#&Io^JDRCmL%5Z!^D08@E8(XE$MAckng6(s!
z0>UMf!EC|9B0O{l)9<;!YVXPnF8qy(*ewEV2*cd%W*TVn=IuM{&kC0_?<>9@#>1CV
zgW(gSv~Y9!`j$x*JA_5)Rr=fFq3BhXoEwfF+<C?B*9&mL+OhaT{3j&{vbse45X=A@
zTkk(EUF3#9qM>bpjS>_;74G4u-vi9cLJU14JTRQrExk0P2;Cy9Jsbs0pg!tUx)Z<$
zp+9Hy4DTp{SD(wZH#e9;T`twaP)h)ce{nq7P*Q|?cZC=BS6IP5Uwz14NC?(1>$8oI
zDuB=4z+Sg3cA)WQui=svfr#6wio6vHV5nxX9QltEURrn-i#m&efey84Hc<gu?sq<I
zH{*s$s{<<2jS`?xet^X}P639`_&3*;^1%Gw&n(tOQZRw8gqG(hz$TBl0=+ID1Vj!x
z+VjYO?2(<^f$s|79xeLo+HZa+T^Eu49gBk}ym3{B)D*$EpoPD!P!LRI4#*cP%0a_Z
zO0Qzs?*2TcjdxEIhJb@(w_o<l!-7vll%%T?gtCRXYnO_`wL1~bZ!;9(+0>QA5DFd)
z4zhmBoDzq0e5HcRH9UCvn_Ee_5@7s+fk}*<6i7Jki20q^-7}WS<$OpPDw^0*={%*u
z0&8ZVnh`;RnfrP0IU>X?g?Z<^kpbWRkt)Z8Nf4pGPv-%d1QQ?3a#)09Va9QXhJFtj
z<XR&CGj$}x(6bYwuY%<u>Xk*0!w4B<94fy4C{lyes#xu>bMm0i+dO(MPYvpa^x8U9
zHDKr%PVk(IB47nMiLw^zaFTuU*sGtKpn>f?9c)&D)RK!0FOfRfcC`samuth5)IG7b
zq6By#5ZS=?Z`UJ>i5%Vqx^SLv;!?T2GQ@Eid?u``LwaloMd*z_JekbSmi1BrW_%In
zc)mI~&+j2Kb{fKx(6(Hx6%kHmf4^$Qst&(Aj@<b(h=GRW)fo3>A{_dCCay|M4Yc#_
zRJKk6M6>$lpFO4u9t)3M?+%mTYZhJ5fi5F(GVATmyrc?&r=mwgKM_IAIM(9G6ABnr
z`hMBeQiYE{m~n7{0IE1i;s11u;gAAH%C90K{4MB7JN;e(?tE_(Fe@>Je8=KX`@gDy
zc|Cu#JA*9by{gjm+B61VuZ)qXx5|Lsu(>8>CIyt$&`m~B6TnTDV*@7$@OS62SdaIv
zPx{*bI>2KBr(CW(`*kXTi{Q1OH=lW6VzE0`b<7z0+w9ZwL=@p}Z9<69XJ&YDXJvgb
z%@~$UOq+Nu<>B4<t(H9Q9V{-CI{3xF7_ua^`>2;>VawaT;J)1yCK~c0_4p?Wd{O`W
z^GU1>_=pRAxOFO<de4pj8p~k{@H2k4r+*^_?n+;5o{3FRdCSWTQag=6fO~(9*MK<S
z=)A`%qf6Aq?@I+O7DhmKeZt55k_d$3zDp$qZBmU@UZmN50LZ9*_{dyC5blo$ITVT0
zAU_FSVV#2jZ(5uZMM-?1@AR_gP9-f`jL@?4O28l~@57G~4{o@9w%7ej866VQ2_$em
z-3NJ&ad+H`*x|6Lrw3k(9?jQvH}JgKojdj`^#eUK%x{xU>~*0>aaWw;lll!nBh&kd
zdK&{Mik(!DJxGscN?y=<(;2|@=vl|jZ5n742z0KZr$>Dp>eEV^`jEsJFyn&X#D0G{
z7QOX?4v7g%{XOWT2l~ee_vCn%v4NF|y>ImC&`tMz9ldg0kRD$i9o#>QDFiAnQ#)zV
z2!%!C%C-)io}C&oP8!9E*jnG-^rA)ckuUYHTI+zlMS+yz@;7X=z)R#P4=oaCVA6U2
zLK~hx;j%rX(TuIUzT>L!i3YXa`mnu2rwyhSGW{-p^Qh&so!KF&G)Rbr%eKWs3r-Va
z?C$h+P>E*WSy@79(6`<oh4yw$*m`B2m~i(yb<U=WoOhQ7?Hrj5=+)DN!k0_LJgZ@<
zC~K`!^HUn+#CU=Cd7%dM%$@pCIWtC0tMj?$J3xa<Is<JuaT+iuFqD{~H%0yD8ge8`
zjTVKr)<`U+t3!QCrC6`YEVcCCif?x=Ez%8jm(mnh2d3}~`e_g6sY7S66C4I~Xh|S~
zvo1>whRjc%kiWP{ortG7DmX`nde}6aZY!!mF56LD0cDx`+sQO$^c_8_Kd7>Ev4RX&
z8lT=W7F?xjw6WS|)i5AtsXdQlOvrHNZ}hW_`8Dd5feRx!Ul`G&&A#;C{UqQ}>XYZ_
z-=K2*l+#S&V?r0(%Neful0fWNwQg3|7WJd842NUDUQ`f$Y~U0J3GfO(XViZGqt;pp
zmIyJkAif_<x#2FV(CC~}&=f&~=-zHi*)_4Eht|I9!7qsr(l(f$UqXwV_|iD~U$Ubv
z-D6==v_ud|Xs%P7p+jz0<E0y#Ini~^m54D{73e-PZlP$*fb9CXwGCOgk?W()g==lf
z5OX`cI<t%sjUQ-j_+iC^goFb_(v6fs!+<)GiZLOzuKKc?SG=g69GYYPjsTz7c5}q^
zUR2$XQnx_nN7h~QhqLVn;NZ@K`s!H_Y2<rKai0L<l98#|yM%{#kM>-xsA5B#1-xFe
zSwd*KAdO2X8xNm#2D5DkIM86zp6uXQ5!CW`ov;239xTnnqSF((kYnFr_r82FRK!EQ
zX|N9ut~$*gLH*q5_>=SZ*QO=V0jWndnksm3q5L%x(&R<MO>A7MucT1;a!+rS79IxG
zWv#`F`A}BVGtZT6X|%$lr+wfg9tssNnB(^gpw#!?9w*&#NH|73=XWk1?9R^X<!uV0
zYkdXYV}r6Ny?s!RO^5)pgG+lWdW6x|y+O$%m*i1G3X{?Maso))kmTI{D2f6MXV5hs
zMP!iWpB)jT43DUG`Kf=zQBLqjwE9j7{ae30CU#c^KEC%$yu>MmI=|gwrwbt<>gc25
zuy?y2^~dZPvw<`^%_JtyVyuEvjO2Cta3r`I%keqmstjU~>D(8#Lqq|#8fKx)WN5l<
zY&%tpLzUeMa!w8;G|j5p7|E{&4LxPI5vv@c-)#B$QG$%jQ}0gNo2kQ|UUtbpC*@K3
zYWg1kZZd+)26^%?G+^U};P7gR0<ykSN@?>@Lt+}(<wpuyP{NjwerZz?(HY*JE$&f6
z?8(P#<=eHvhOT}jT?>yox(Ws6IMh+DbEf6uLtSvl{BAqwNI(ZWr})`<)KN)eMbK$a
zefSaPcw@v#84X6qRPugNL;G-BvxcUIP?4VRhF4cXxZAf*Cmc~jKa(=9F3VzYJ>P5o
zVV?>rD0cO`d7q5fSTERVT?25Qs~O!gB%-GoO1^JHNa)B`Q*wy85pc#vkMX+`k%f%I
z$oBvu%Jp2<+hCvor*^(@zY!5pLkvbq4+)4{#%bI(ivrVJ;?vCERM6)FTus<XMI<(L
zt#nn;7)HLi<z2w5Acy0%Prdibp{kRgt$fZI!;9E*{0lv06xkkD#!)1V$^;wILLM2z
z(H-OZK`sKaR=I9|@v|7RQlpb$O*Mww-;P&nRVtw~Vi&z+$^=lk=g8}%AY&lyi>_qS
zR7CMc!US7kZq)mjIy7u%42B}-Q&p1W(b0Pkeg^E{ixN5MMYOgka8J66$8mC(KWm2W
zgmXJoM%C)K)4RFV!ob5lL=%UsC|ODv<2?1X<w<8&G6nM4UQdRGNTW(xg`>ecpQ-*4
zNwN#IM!<Et=6rRjB<lJ5D|Xel3%jHjc+tef2yR*IeABoshPu>7>P+*-u$=Rk!hW^_
z9DAo5QR*X%y6yTc-<8f``{X$oe;oplG?}-g#tWdcLn+qRgO;!a+HmQFR~YDT&6UQC
z^P)z}fwxbYR<Uo{Ttynq`@p70cYD7tH|hwYNS=sX!<Kyoq`H3_LVJd4Y=<ic8lE!!
zq+zg*@f%AXquFB!DSZx!hNdj&-P!2BZ|v5wOMXJv=g0<dH1gUV(&IfS{9&F@>E;^N
z{NL+GQ6BmbD)HJml0uK}`5$zDd1MW{q3>23nWYDj>8i8}<}~QodyRj!*H^I$a%xn<
zur7>8jnO<a-=umMc<grwUct_t-JiFgpbK7p!=Y=*E7W4wsuF>~Wo&4a^_6ab4iJXn
zj)?yP6|WG!^C)l$t7u{l<LK0es|$Cn`4gw9D??V!{4tA|p63C3FC}eQ3bq`LlNqO0
z-yUnlzgoatH@UxWMry&yHO&Wf{=cbt-@kepPt9WkCA>)i)0z;16G(mWr=Ke3^C3cN
z|2+1k<o(qg2TkyFj#}Bz(M284xv{8Eox{BKs_72C(|`lccg<|CA*#EOYJ-^599H9a
z^gdoo10s*OO?~!xMEzFQ;*>5thsh`0G?pt=hvktL&bIgESpJ+ko%zZv_O63^ic4M{
zUJ`jp65`F+#7Glc(a!9y$b|T}K34<3?V4T@hfd5xNnN^9VGgs59ehoeQ-eh}UUz!8
z&)CQQLrw4f<}l^~Qj$sm8Q$oX52U^C$MRENo>Ta}%L)I0OST#r4tzgUKC<`&^J^%J
z7rQ)<Ns^cb1M5lP*0WU;dTR(<+`KrZq_lwL&e0ebT9M$>EV2Et|1jpi%DF7eu!vEf
zPO+1A^X3k7LUHi9KiJGI(GF(DCCtY6Ylr6)5u{WaLrUGpFe&{cUO$y(?8C>_xlu79
z1Z?K83VKaoj~BzaRRdSBT#n|r$95{<cQDy1J#-S&sY@}7+*-v*Ujwx~<CWpY9PdY(
zs=t``&)4nRdFxoXorlNaJ_0akiTh2m%wq1()k=KBHZjQzO`pS31W>!2Sj*5fhZ%DG
zt)F_bjafNd_q*VO2gbo^kwn1-EL`hq;poT?CZfK1zobP8Of^&`3&R&NG2^fwLfW(t
zF7f587ETEs)GRH}@h)QzUOoORkwFK6*QYpe;fnBsrlG>9X$6ZoK+WR7Gk|@42d-dN
z0oo#%D&8ioVSP85c+3VF!B=xVh09d|Qk(ywx}**4_P=x4(e+F)w#l>h>Z?55!skmf
zeb~Y(iZcS2I+%fnzF%j<K^|t$Z95bbb}*0ZD2F|KZ14(yH~h|^94t+Lu1@(w0}_Li
z>jm)~fWifOX1wL#EQNd0^avfyn-0>5<Z(e;GEJyFvmAVsHMbWTr3XJ&8%t#+9uVsA
za#t&s1-j(}EK%u<u-q{k`=pZ>ZW<e}I=aY$&-<^RZG)HqNB9^To52t3bho_l60&e8
z*t_jU95ZYIli~SfL3lGjG7SBTgOb&~u9PpVU~r@}Bf3c#j@8VzWPifJz?r&D6&nsH
zR?PLbmJ)+6VLh?XfP-Xz-b>d*xghR5P0vJ`1eAHi9gl9u!9L#~?W7%U_*f@cC{C3E
zeOg6Fn`InCRkQP!r1Qc-y_Q6CiVXD7KkH>Mlm&_l|L8F{emMWL;zQ{O4sLTA<$lkX
zh51UCP)|!i$ZpukKmA+|s(HS;b{fe6<?q3cPFG<FRTUAA2~q&Pe{U{Tu*!qw@-;86
zEK!J_R6H(vLkXt1m#+{w6@d9b_2L?f1o$lRWVlBWz_4*<^r4+1FyeyVl-NkY@eFaF
z!j~%WqRvvV`HvDDY_V9MD3OLw*x{VAud2YGyTv#7Vb`x(CLCjAaS;FMr-1-18IDVD
zY9}xgfhh8&c{WcL<njl}L=H9BTEK)1kCMP>Y~K?OJ$d-B-!5c~Ssnc4xV>);l3{zz
z@2_Kz0xY;E7%Ts$4mzvcn>SL`fg)U)bk|D>1RQR~+Gc9N!;R-l+4nUe(8Z|d!uqZ^
zvHZ%+lF)=lb@yeZinJm1oRmJnUm5bQ8-!wxnh>6_-Nv(|3)4kS7Dqc&fGhr@O%z2F
zsw%x4jO+}6+!{V{e}f3aJ8IvacWJ<6hBTi{?LJ7J32fAwQUxKUgf_L^d@bW`-Cz|B
zK=m-(ZZ#vpujxSFt~NCg&=!$^93$A+xt4p$p9FS+L3}en2Fv=2%g3HmK+Z)!qiWZ$
zJ@>1$CwwJ>N#PRC^13nnqi;LdiIHG<ES9bS;bD_D_0xWF6Nnj{D6y$mg@E>`W7Zes
z;mp|7zm^yixK%82Z#jE6r*GU&Xke8A&cdBZ=2jD^e%fQlVyFTaHfqyYQ$%46yByNp
zZ33k{gE-X$0^DV<xWZJ#3mlD6Q#C~<fWN;;+Ip=7d8(FfPTb7!=s7Xs;As;me-`%f
zLxlniTsl#cslSf3b{EMtZyQ5b1wB)2h8zs3HvLp<@4`H<{MtDeVhl9|T0`z&9LO$*
zUut2Sq;}wY;<MH%5HXSFt$S7)itR;;vdTB8okO0VpPr+DF{$HbUX27)Y-LFBr_!N?
zR9}xnUyYzBXewf%M+974xdRFV_n`8)L6dz4j387QEG?x4A<|LWWx<FUQL`=1{dxny
zPuDv*x!X_HH_c3{Fe}m;=n|<U0sNPu+W+Ae7vK`d5{Gr!(A~KDQmGRdXs!Hbbyb2D
z0=^|W4R^31y|u{0{vP`vG}|PHwv`dO?ylG8|6@a^$9~k<1Q^0>`E2mLB^t>0OB!mP
zU_;-Z7cQ%(8o)$;#TjFbb&S`In{F+K4GltdqT73YI34ddl6q<$W7?#7J#EE?itay_
zW&EcHNoSq&A2j~KND)E4bTh0->V#yu={`NU7&q4Zd)Ira|D^@3C$OT4G{uHf5xOwZ
z9jq|AT}4fne{Y^^#){4yy!tJ@Uk8?T&?dLUcj|wp#}0=Ju%d`bgKa0W4$zvt?bZ<;
zqYlR<YiZN4qNax_E`o8|Ft=c}-C{aJbu{Uk{L8Xi|FA#CZB+|YU3#yu{#>9s%+8Fo
z=(3_kY`*okyB4qqn6~5`T%l^+5swjl$ch+o;-W|TG{IE#UpMaZI#tWWU+^^>8_HZ&
zIU8cF34MYlGqxAEs3}i(3g{}>5W)XryX7YhV0$vAzeL%gn$3Qx!NS>5L*R%-#vu)e
zuw^+vx<i9{kDKpFxXXc_pAi4*)2|NX_qDGakJ2Gbu*P4$gcCLDa`v>HQ3tDdMdDx~
zJvw@&^oCd%7rK1!=ycPD8YHlY#Yi$TqRUEUxB1PvQEDvt{LM#dFhAYNbL;dT)DmB-
z)}+9L*nfIA%4n#8O!Esv&Q2y2^r&=(Mv@mr7nG!}e<MTKo=LY_Q)bk9ON9-Q_)u5K
zFM>@t8J=$CY-xXCK{gW4oEcB@BeP4ddLnhnK)2@Y&3T;-_2g2_|KtjwfOo8-B1<Ir
zPgS6!Sc3zF^kE*?IE9dPvczKSE{K=?ZyTyHaiP~n7uUZ$7DkcJy5tgqNf5$!kAcj<
zjU3<K!|yQ=MaKSN+rRBe@FFaX=_d~la-dqRPSS~^WwG8BXAKfm=UkR8(%?myfa+P5
zDG9WtVd%^tL4q*njtZLdeCVIQCwpvw08Bu$zZ7z*s*c~}C4pag+>BrqKRVG~sbn21
zjc%l?e7Gk_f|dIrN0>zf5vfsg?0lsRveP$DlEjnX4CkA=@<&3*D_6}y_%9C0yGICH
z?)uMWrf71Zf(Qz#yHfQ}RSvPd+n?GLLIUZ`sWGKqQMB&rlqwn|kEFt?)a*Wypgx<u
zbv#iVJ#!&5KL4hG@O-PxKL})q6S((~*-sM9AEVj%qN9YQ9z~hxJ}1ME-^R8#OQn!O
z3=82`5*`(99WhqlomXR?j7&<oG-CepLZ*C?fWDpgR&yRw16;h;Kt`Pm8u5->+%Qr>
zUw!c^lX>b;YO4H;*p5Rv1L-N8H;L#t^FO-C2O1!^?UHcdmn`a_9L?i+tcs4#2@gob
zX+p1g`FoW)Ii%AodM=VeLfS4#xv8(TVA<N`l>eqYV(YuB)0{~{D%bmNz8=?xYD>TN
zjZFo#Gy5s-;tvv%3ocNp)zk%TpN@yje-+XH00030{|uLRIMsg?$L%d#dyi|+d+q%_
zMj?tKBU(a6r81IAgRCT?C{boAL{<a$q$H^%T0bcnS=oEU&;Re|^Sqz)yw7>PKaVCg
z3|M9;*!<k9IwIW|5>EeYifmHB6Olw}*G~#&Ix~D!`DX&h-`;*Oe?b)$gFB0&Zc}i?
z_GVGhAv17n5@EFzS3{Ny&f?~(6dX==oh^N94vlAj?YVVX4RtflZ6Wb#q0jWgP1H>Q
zcH}1~MLwwEzv#cCJ3}=vL-T}b*nNP8wvP@xztk{DY*8p7UJY|{mP*sLEuh6&@ULf`
z8uqh<`xttu;QjT4=GsCF$i9-0mF263Obqdx$n;7$+p3YpPG<?>A#c>+hbsQU1g_~s
zd35e;${QvuAy?0QC5o(y%Zm+MkGSP<?W5)ORUb>(J1!F?0V-G)z30|dLuqu#cTf^P
zW(mU{e&XVW%E&sG6`qwWhI(pmu9FX1g6ou9jT=b``=t-)sTm3(&%v>MwO|PbEfyux
zUlh<&#rtBCEeSoRGcqSREdhM^y;?VX99&$fu+HE{$IWUPqHio<o5|w5uK^iX%>30D
zuCU@)e`llM2n#U(%1-w0mBlh@4e#<X2HbmJ-FI5r0*p3&D2+>%!Pm3QwAaU1X)6Ij
zq^&OimJV%-Gf0y{O)hy2%i=j&%go}Ls=WZA9O|x$k`j0=&Bc9(*Cb77?i`hUmVk*~
z+y1H7q8P?;WJIQMh}NU*65ymlfF`S-HS2X@OizBCHObdU8!Ocs^V??*4)$BJT@wZI
zZgXA7qq{$8k$KjY-5F+Z;>_U(vBmtz(6Q>r=Kde8Yh28vwZjz1GgnGfC;9M6N_aqZ
z?KhgHrE<m}ep8U^Kc%s-pBGEIluzdq-)RF3ic)vnO<?5Y{GLBE+~~DgfJgIU7p=fT
zUx|`u47biYKC%tr#Aiu*Ur&*L(ZZr#K9o-y!6w_mo<LJ}6bWOOkofzXR<esKCSz>`
z4~@#CH0@cDZ}EpX*W-TLpR{oHqqhy=nOxI$y)0(j@^EdO<J};QB2p}NamfJOUYz;K
ztIULQl|hevlt*dGqZM6*rvZ5B(|H~kV?aNag)ZM`<Fs=wAO9u1&<Amd;F|tJk4NSI
zS+$u?(G(NuT&>mhAz$cK%R63rR9yYWpG}#eiP`x{?#j}G>;9#xwuk7@pkwl2jlmr4
z?r!zRg`4z%pRZu6+=q1<jiLH?<jw^ewb+%N9IFdV(8cL3woZ#T@d@<2xI~*!Wtpp|
z*M;Tj7&+OpHQI=a*>YLS3a!cLfqT#e9WZDTV4aRxqnTd$ESRFUM*Hu!+8%jk9oWWt
zo<S*VjV7K*eDB#shrP|8EB+*DLtbIw@Q1NAn!rgHr)~G>(SuvJuS!H4SRZ?zDvw;J
zX-`SOX)Z==W&Hi&Mllss7Z@VsWav=(aL7HucqUv3CK=x{rNVKa=NjL0=x}gJ(1l)-
z1x1w&Q#v{+AfG0@<ZVQcrg=HTyFakvaHUw=-s2QtFe`Rjn4m`q9=GnWJM73d;#stx
zL;;y3PbG<$3|L&&JlU1Ti4gETm*<!k9PU`ym0!t-e|LzMI6UIUgI%TjB%3rrWBbjT
z;zlN{WxltyZjJ{Fl-9f=<uxJ5??C_6DQ1in6@6Z;$A>kEn$w??HNf-0C<lWjD>Aq2
zilZcwP@ZnD1QW9c%rixMjaIYa6#Gg-<uX53ndTp2j8}))rm~TfjvQ$5J)-4of*?|T
z4a*os)#1t3(@{KpT=@2*koa#yVRYLhRdwX48uZvwrXBxrW1csMp9-fa&Mmyi8Vytf
z)?<M+7dd&6W8KCpi9sCyl4GS#XsN-)TFW0-DSViqReX$JRuXCH3?5tA)gZAl_}7kL
z5+)k{%Zl=s#>^PK4)GOLsB<W!cWB|qlBRAYo-rBZ$%xgRXH^4w=8ipcgdirjI2_tx
zB8Of~t4$s{YH<8a%;LRHA$)7yoivd{Mv1w5XU#6CL1T2~RARgce)FmsFc(%p!u3=O
z@BD_(0fnJ(FELy-Z}jTOQ^dS`TT5zgs6)$#ih>R&3Cv#1yR(&0#*tHWj3@myfa|4@
z{ZU^j^m_O+fOl904?Qhe|9wmo^s`+$^BrVRO=-KDRF)d1D2eLjR%?N;W93neFj=HM
z$|jy|*T6<I>NSxZ3Md99w3j`Q!;pa1TV^Yo$o@XXm=;5Yd~e~?4I^Y!x25Nt+e$$r
zarvT(6m4i`@e1YER=}~Ci-{9#R2-6+;A42H1IB^xgSVbh#JZ}y5~*@3=JoeG#*6C#
zTV1!%rdLYH{n1f%i=j3S^L)~e%+!Z-&DOPF7*tTGjKA?orZ(o@4EV>QZwQIQ*L1|F
zs%YdF`t0``ZEP+4QqDYX1iz9Mn?kp!;pNQZuFI&6g?X1<TWd`~+acdz$w(c2%4CoJ
ziquBNf1+p}Zw7kqg(3M28ra13AbDb%is84qgH3l5z!G#NW++1gNdkW6ZOT+U!ZYP?
zKN_Iw!$hq6v<8m6P7D~8rl9hZ&TW1U7VxvK=_YV#;wyUwGc}q9-jU@lideM(e|Pgm
z{ay{US!)xs8&KWI^WinQWJ};^6HGfDqJfL~z25rol{Ru~_TKTIB?K?&=1VlHV{(M(
z>%nw+tTwo_XUN71?D<q!zkO0ey_MDr(Ys~w)w!3BqerYDwUT_bzC;ycWTtN>g-Bp`
zaE!ObaVyv=`?%z;y9(yQ?y=r9A>1daHtV&^3PwJ~lpXC+!oD}TT+Bv%sN=di^i;|U
zf?j2Xp5LyBihCLscxKozVc(dm>nBUd=x~0pQX-F1x-u@oNQVzLyLK6dSwi)*>8u^h
zWPIB;WX@4LLrY9|(jakJ0zFIequzb8xVtc`q55kNt!~#3i}hO;P_KB+E;&vb?~a7_
zln3V#ZUPNafeIGTS+A;a;)n#^lON`Ek@!hO|J|v|QntZIqv%m;q$nEx5`D=UI820;
z&t3ke4{%r1ERCZ|2z?suX+I855?0Y6p9(G#Q2Tg+yecJt`3%EtonNMjsDW=y9k<P)
z<Hpyw67_r-nyj6+&wiF*_xjTlSZ@aIq0Aq;C3!G}q59(Z!Ypz7u)%Y-0aGxd?8!W&
z#EHFIGLKy1oFi_DouVJy;GjE6ul#5lD`xK*N&Z<nOX%}&zqw*(0`4BSa^&|gVVG9&
z-NE%4!j*1em@m#4j(ucHX^Nu9{)i)of+c2%fafJn-EWN`y5f+=Xx~5Di+bbpgCf&}
z+wgNb7C|EznePo1-oHe9XjD9<#4<%J_HbU=xMjdpa6aXx&m3*%h=%XZ-U))z6Q<Ah
z+yH={PL$F=MH{seXz^+uBaZpL9x)Iy09&q)S7i#uXb*$O8=tm}64S$P%EH3+p~&B(
zUdeihwzG}@{rQ<;VsbW;E~-lp{EeBp%ToJjH@0|>MA#1z<g1iSfz5g#KW1H|F!7US
z9v*b@+vh(-<j-dx87p<+LpNG~e)W~cURL^IAbo)F{>?EcuAmEFgD$79o^Pkk2Od{H
zozPDlf9_7v&eDPSD_I=NEN^I2zGa(2EBgrZC%zssf;xcJtS?X3*U@rM{;*~u^$~V<
zJx^X<(}wa*d)NND+@sm-v`Jsf?<Iy79iFc8YlHe+#M>~-BqB5B_9-s^UZVA=lV@2b
z6&}YH>&j_X5J~4#=>PNTB{FWQwbjc|fx4~1_GoH7F`>0(+~7hlQDH|VlS(MCsrZG3
zSL7=~KK7urerGQc)_0RB-IxM<9}GyoZ)qWNBIy4b?CK+~e>9Wv%+vxam#(C*?H>qm
ztM6uH>L+|EdH1Kk(1eEY#GXB$+ld_y4>5l1=_l9>f;dYjHNbS7^`yOCC$WW9pvV62
z00CiI&(14oz=KuS?7nMXi1uO6kHt!Z#4I1v&ar*!kl3w%t6<?9A@hSHD>r?J;5XgO
z({V=)Obrib#2xM;bOUa@yr4HiY?^tREij-8#d~zFsVsLB-_pg!HMsv0@od{HGPG2o
zYQAMU!lj33tq5IEk{&0j4u0aXI;R3F&$Ior@Hb)W;;i%0V3NpAEi+^6R0b2P6z%fO
zeMHVFH|M$wQ$)aF-t(_Dl;O0BpA_>@KOxsNldLj1O<X_j8GkNG3Fyk77?Vo=5Q6Lf
z7@T5f2_vE4Y=uch=;YFnPrNZiY_(d9_+m3pOe~bSSGy~M+0PZXz>*QdKY~fA%W#o6
z>>-&<eXRiD@ey^LGk=M?j-v2?dzOii&_w?NLj~}&?n}}+HbEHUw$J``s|0Vy&sQ?#
z@^EkBwm(U5ieR}K6yM{qP827PeSfJg57SvzmfzE+i7#KMMt)NCu(?3UthS5{t6O?3
zR19Yci+RDF<QfKuNI&SNqfdsI!msy5Smuefm~xsx1QSSkHF{rsDF+vN%=eNR774Ly
z>C9LCS)gAikCVww4&oNxrs`3biRw!Vi!MoQ@Kx{JH|mt^Mn9z1)?}^{6=XJ*oFNX#
zxcpyK!8KV>IGYofZoW>8qO7(=G&hL7ig6Y*l?BlYdxwhz=%Lnhf@7V+3kUwTa-18N
z0mgBA=e0)+upqqKaj}UHMr3^%=N`yFY&!3CtuQ9obX!Q4JBA;Ws>eKgPRPK{xAHQ<
z8~%tSODncuK{!^%A~<U!15t_+Znnv6kWQ_Y>P-{|$&R5Y3w0TAXvvShJ<0(w$tN$B
zcZtF$MOlTdax$P@KhKbJi5t!)WPZ5fD*+BO2b=^nWFQ5ua`kQa>;L@KHB?<1YCkV9
zSvtu8d&%`jzZ?0Wy+hlbSxgo-)otNZO_705KOP7?I?WG(>9VV(G&!gsWtmJ*$$)+4
z_BTp<1;KKA)M=A=c^F<W_)>gY7TRh;q8X0}!&d7+wuKNyh?IQ)W4Epx>?)<UmOK!J
zpnbVhA{Uk6c%q4toIDxCM#l0vL?xi+_NzPl%T+<&vr}5ZMIKn*2Awc^Dg_A{Oh2wK
zt3w6DNK@1Y1&A$LqhvP80NwEew`M)GAhz=ejUh(~lmm&^#araSiTm1B>s|^xWZt{w
z!+RBQZ<dXp?j{5OXZd&5LfY_NTf8ydUmY&a>~yt=R{%M0FPmOM2Wp3mgECHP!OXXZ
z0Z(D$J=aXz0%u*=b*$by=R6e_Y89I<)2V>@rW+5RTj_yX{oqVNv<^twxo&&jpbB7P
zkh-5vACjtq6M`D`V889YdB$VvuuS&O&5O_nv(7VbB{%wvInT`ZMHWrisbd?1S^ChS
zvZ(p+lQA?%nGGKa)dGjT8h(tP`cPOJ@_cWs8LWS}Fe2$ff#WsP?XwT{fXh_so0ufP
zxzNv%S}hcywXY`MNYn-8*!6E20TwWxM2poVQQ^0g?_S9jZD=Q)pY6D138S@tmb_J{
z(CcS#u!w^Sw}dY&mgHK&AbCH<mXivVZB}<UvNa%ht*Y)ss5QJhDiF_FOM$u2M?1}4
zDT8lH;x#kQ&F~;Be1Cx^1<ZA`kGnOK;dpua5vPNjVRpCEuIw>QFuY&1$-hw&ZY;6Y
z7Da6a72dk07Ih6c5})j2oge`89I0=uHuU#vlJ%n0)Sx7HXy52QHmEtULRt~s4Aq`Z
zNpDw_A%672Zns-AMAuFOccxNn=$YT)kpD;#pu9I{vaf??Mm^j9P|+F&VsD);bCU<B
zDX$j|j7zkT@#aA16f4l%#q4;DK@RA<tS-a_Fkw}y!2a)3me6``e_6#zX;97eu+<Od
zz+CqOFTHkH!sm(z6FV_+u=VKoSpK#NCrK=Awv`qj(O7g~Zb=B1l+!fB7I^WbiBs8S
zF$;*AWsW{5&A+itE#)oCd>9gPzOyGD;6!5I=>jPp2)L-Kw)Z*-C*=9gn5+?C$Yxu5
z`vx0am}6sJ_)Wsgh4DYemd#<?uBTFM1q|SHYW<4v0ttPbbNP?6n#1d@XLoFkTP6-?
z{HZn@B;m6gC+zy<%;2y0^3`{rCy9m=11sBKkWgXv^B+YAQ~1s0oqO1_hnPqezbBGP
zLS855DXxnqFzKQwp!GYQDD~2u`nZpTesU@E!7q)$o8&Aieg8k&g>Wn0tGXl<ePmc`
z#bXRbLZg+HKZj}3hjdR@3y{!mhbnuvj}hcLyqP$9ZJI_o;lj0ziG=6Aisx1}8bYC{
zkmr&63p4{4y@(wwB$Ubj)$m8z5T+c=XQb>_X_KL;M<*pn7$VsrTXDkxc27nz##quJ
z#f!>aZ%0B_D{g~wP6MDf6&t#5z<{l#cO1W8A>o}1a}u}X^dVKY=deE)6JD@SV-Ox8
zVWWQCf15e<VdVUiBWK<)<K_jKWWIg;7`;=G?s}RY%*S^a(S@)g>o)tx7GwOVzsK(N
zC9)pO*%nWPk=QZyyrl%!bpbpPBK<_^nJyF?U(oI-;lQ5FpA%YL1rfe%`gPk)7rGav
zwqLQ~!seblrmxyUSXreWAiAmp?>bA_3kSLJRESbWjEXS+wcq)?@171QcV#D4r1D^U
zp!_ps6A^SttN7{SsRNH<+XrV0cyaoBMJCB#6wl-wG59W|15dd7_=FPq@MOBR`lWI)
z9F1TPp88K4Zpu<C=p#w^r0R%BselAJa}}M^Db|McCEGHWaDE)K84^iLm&Ay{a~byM
zw4p9ogE#uT0CxY_-o!zX#=O>3>i_m@1Ghk1$LE`Zm{fJ8a(jpjzN-v0BX8G+ieq*!
z{9X#-ncEyYpLoh*??-jlavN=U&L_wwwkC|PBsqi9o#fEZSt6-)L+|7}aP<0CQRF@M
z?sA_K8BecS6NWz8;I_K<SNFac##HYpweXb38^7sPqY|{?ai3@Us;C6cnQ}jDKcaw%
zJ1xv=Y1-f@=Gz{3TN0n`3;wATtBB9v2RxHt(}5go6YY5|Y0RP8vgze2VPWv$g&zlX
z;P+QGfuH~x)DhP-)p@RrzK-FWIXiVAsXxdj&O#PPDxSz^w5i~f!<ieGJ#>NVQ;u-I
zlpKz~EGS_6u8P;Y<z6k#>cU&bx(g-ia_Cms9^u!nhJ8!6?~;o2z-wg7%bUN+sIkR=
z^jn2G<{AX7%pcK*pT&<N$6v@}Wk6TS!U+v@Ve<K8z108=8KXzSvlTE!s@s}{TNBS*
z5D2a}G6X)$Yw{__6!9?IE@rz3O*}GPWd6p;2y)JKHX9fyVen4N_T#0R7<o72+K(;9
z;2C--Lt#t_d+Y6eWr{R$kn=Rpc`p;_S`P`CxT1{O_5(+c?9s%bRNVykFjFvFTp=3>
zs-Qzq+4hi+8hA-YG1BF-8ThIEW9o@g!IPq22VbtKWBbsdmm?YGAeUaPWY?^Mh5at^
zPe;^n#3yOxXgUGOEpDoDqbg|kk*?+1O;zk3HtRDo14zlIXl4$pV8c4Od^^7iZoB#A
zzDOQG;C%tpBve5blf465yp>S=l`;2;d4Py<MZ@f4Dj4==z31vR1q?SZTfJ;(0p#c_
z`Z_DhSel<7NvR-XALXc6&>;&jDDH6T^j5~<v6pXbTV=6~zw-9Cixx2J7m`K)Pzkk0
zGt*-Jlg6`ihj`pBTR=fv7a#LCMNF}B=>}^Fe9u~(#kQemS(5rvJ+6SxA31L@{t-cT
zUtN>S{u{h&W2YI;%41iARo3J8g4os-Bli(D?(?tO-o`O93Nbes)iLp-)uFcV87>Rp
z-a7ZnyGIUhzSwl#IfWOWx<2+1X#?<<cK7P|D2ob4dB1=6aiLyeo3TRzfTDd~%I=pk
zxP2wue$J5{B_pFB9^aUozo6V#zmw9~JE#)3;>ChZum4l>|BnDwn|>pfNJ;$U8Z!TC
zoe|HHW#buj2{6~Wd$KG|9Cb_gTS}@iV9p1#>%xiV;8W>Q?D|F&*P?F7b$_J8Ri(7;
zX+O=NJpNGhpqL28)YPZOHm%cs8TqxYX`4Yqk>rZo6(N+0je4zCv_@NZD{D=NH-*x`
zxb*ijf;bXC&8wigMw3ZB{Z6dM1X?*y%+`PA$DbB%5&_0*G@YmG2lg17fKluF2A&cU
z#@a`hS2eED>Lo9Vw`CXu`rSNbl+TB+O<#oPSFF?4CfaVkT{Hsj2&LRT&v?<Ct}brp
z89KbIxvM#4j}fd>Q&(U2@Sw0XAvm^~9(_;qY<GHX2uajgs%ZQsjEl56JVjwZSGAkx
z)pQJD^YOS+ZhvkR4eh-2$%qj{Wr%sx0s~NBi5r_g%Y~{r`O0j2nK1VDcJVAx1Gu{5
zv5$T;CniKL%S>f4qg|fY^zJl$ILP?wo}&dP%Cwiw)J(IWuKJqEH9mbHi@nua80J8m
zsNGdM-fRdYX>E^mJ(#sRvP+W2fdf-C`~ODRF|VF^wN+dXHVs8d&NpyiZOa3L+$)^;
zTA^W)vsf4YyS}`4ZIA;WJDX-r*mL7kC!Yl{(uK~zU$tw7oOsc&)G0}c2Vb$~1m9}Y
zfh%?5kGU#1aqA&=Tboo~ELJ@9#wkb#!e;;ZBsy}TI!U|Z-W@));h3x~;?jXc`GU9d
z0^A$>B9^L&BwRB){%WLB8#a&kjDB3>M&*2sgL<?4NH#VajX0nU2ZWa<nt6Eeqbj9A
z)=UtijN*^g32K9~fhyArGB4sSbzQI9La596_$#%Y3XbWUx!pT>@lIdxwJrQ2xV4wG
z?w?Kto!FDhq8WU6U^Rw~k}rzQ`9`j+`>Am0u;+ox!6bZXZ{4tEn>e1Srb)ilrNVvl
zsxtFE{CMp?P-97wxZ2N|5zkMB1DERQ-tQN{X|9X+a%ZHlAw*<N?;iz3%4-7OM+)Ml
zd=2`r2pMc`E*9>arT{g<((&y>Aw25RFDHCS7Hz$YIB0VesQSHhQg>Duzut%-+uxDH
z-ZP$LVb+bFdV71avx_M9oy1I&*Bji?(PrGGOa;|zxp#EliD71%?^?>DJj!p*y}P`d
z3Nz~`{I7aSAU~^_jjOIAG7ThnX5FR2WTEJmT6!sTU}?VH6|RJKrX<JqWhzW4e;5v}
zmqw2%*0-5;%4n;%XIUdi8;(1U$%Ma_!Ludhg?#j?_}pG|zru_*h*;Tdsjrd6K`(L#
z&3uC+3yj0lX*$4pbTH#>sT}@sf9J#!td3gQf2vMy*9Fy^Lwk4KC*#!``hB{I8W?#*
zyo$8ZLz=@(>tc%Jk@4|$!JIfv^w68{4%x`<FC1(h%vHb^o2%sZJzDtBL_+U~hyi3e
zJ939*D57uX<lQiO3ewoz`<wI(A;YkWlzveOFHvq+B<fSpeMKTb(9a0oyeK`UvsW2Q
zVwRLr?I@VRA1Gc{U<|iB-@A>;tDyBg#ms^YeS?zR-<(ksSh^J>Z_=)U5ySfx$L6#U
z<eqqT=$OHSud?rI_Nb!Wz3MJcRW0<qc8tL_%p4Yu?s(wWq>Acs6E6;NY9dF<!;tEG
z1O&PN?B-@t!@oKQhF)Z=V?)khq2&R9bjR_qQ$lL^Y@Bdi9acq~8iO+nKLHMPW<Gzh
ztcocw>O@plm9a_A=h$643$XJt-*vKF6-z#NuZs35;y+eVr>YzaSm!SJS8b?@zZ<My
z?0O`Rqe)%S`9CbcT&c57^o9zWM~|xy9GAoWE(_+v43@Ark3lr^oidu7IJqceB7^fz
z9tRjmmhgls83ezTuv3>$%uz=IE1&QzIdEFS8EJ?b`>u#>|Kv|=>4>1lU#-qBlNMmR
zg{Nb@P67FB8n2tj3m}*M?!)9J3m8s1`@J$n9&0R0=$@JLp;zJcV^fJ1@Ftvo@SG<Z
zD_b=^l%H{-{E$~M%VrA@TE4@iPL{*l(l?p+w6NluhHNa$22W4g3Ck}1mBBCmU*6>u
zGGhI*xWTTw09U5eM+YLMF;=aN>|sTR3Hyh-S+)SM77&MDQ6zEs3uKijtk9TQBLg3|
z6A-DCp`1Z4j)voow#-ZmG_Oa~mVp8U&@ALFrlv&jPo~kUx|JDP4~Mc&kgGW;G{h<J
zFbm@~v+hgO!6_P7{fy?pn`Us9{3>hBR1gI%*&-|RCTX8F_`;Kan!=4N;?vt({3sGy
zz<HT_l17%XE_|<O3Zz@+g7>9JD9kwaIhkXUh8H$ZK0RRqo6^&sk>Bv51zj@7!Sj=}
zyB9s~*EAZ#Ok<T-v^ozS?Y!|O(qoFIKfC?ix{xuXr0a(`^Kj!suAYpE=xN%(<%Znq
zU?WJl*K2-Jj}tRp>E_L+W@y~9yIv2xGlWC0GKDT@v7>f&?ZndcIa=t6*p*aGLvT6n
z#@}SdhH9_r4h07+&=~fOt5>HRKy#_emrEk7IAd!v>*~8iE89`ZW3#RgznM!p%#>O1
z9P5bL`AaJ_KEZ)1^P~FEUZ<L!5WtKY0?EP&&Hrd-_H?_`f9nBHN>QfWcczVh;Nkb%
z1nE#Yo4L}`Lk~3XpG_+aWkOf6zdLWa(c_DG-Jdp}b-_~S%^49RrVV~Qbv*Tu0grO4
zD-`Y0g*%B|F`@EIcz|V*QJ=(wh68g&KL6=J(SDuA0bM4%WBc!F>=kDG9{>RV{|uLR
zJk?zsfbG5axc269U3=yCb&Zf!C=?A+N<tJ~WfdvX5GpcCNJ$wX`5lt1GD}8QLbhy)
z*T3hVGd|~>=Xq#G(sq(OHNhv7Q*`Mx9on;T_}66#Mzn4BYRh0z0|cU3$1dY^h~eDx
z!;#HQXljM&Y($I(fSqw7(xpeNB;;*yhXs9AS!9S1(E#cc^&FcHdc+VoF_w0b4UOrO
zQ@zT`P|o_-hADvoSuR|>P<NRF)oT3HKY54@)mAH^DyJDyvBg*llQS2}>Ghea{ihBm
zvsm+tyqVDCR|bLD2yV2Tkz&?Vpblrh=Nw{>V@9zCKdIFb52|tyztwwK9lXVCdCOZ^
zkmQH5iYXyJ^xpO`qbHv_Eb0!_-qB`5cLkEua&GdY9-3&buX!X044jqHYhXvN=N%VK
zMFbHgNTNeXhXfaUC_5J;IFVW2m_u=c5E7p0JF?TQ1}!I=dY``LLRN*86UBE$5HC%_
zoJOn~tnOHmCMvlRS7zCzkq82kn5<>W-lqoAOW|DUy*%h$eMx0Tk~pI2%DNe)pa#A!
zduj){`H-QX@{HecNfgaU?c`2S1G%#pZLKFiD&~xhWloerH7g61ysB!jDHu3u)GmNd
zADNU0Z<a>aCuFvN98m*4wN5S>7a??C2!BQtmPPu$Vea;?)F3_%e@(X~j1K+N`8{z-
z4n5w_DCD3>g6@;qpM|PLQC<yQYt@)M>U)h$xLZk3bbeKekS2z-SNXRZjwqrkxBW-{
zvsZ_-Un6%_k|dC6k=RSV0VO0dNGDv?sSevSS-GuklIZdZld+e(3L5_@!ZsT~h9BiW
zt2};6p_i{oR&;$tWXYwT$Vk!vBHwN86I3!N{rTU*H&$v$C}WNDA*&{+M#WSc%gUlL
zyu##84hc=ir!zfZ(t_#n>9Ev&a%hooK04i39X)+kwjwOA4cUUd^oD`*sH%>(<i7=V
zG?1A<$Kt62-{!5Q#O^7eijxe{k_XA?a_`=Pv1(n|e9N=sk*|nu&rH@8r;t%q%ae~6
zNcvD$#HoI!Pzkw&x@DIZk`cF+=Ui^70cewS7Nzeiqph>ent4fN#M4Ag7jI?+c^xG~
zWDgY-Ray2d*_e#ZG@tOf_;nBTe5uhtxub&0W`$qADOX4Su}4xuk6`eS2^W$HB%&!Q
z61i-Vgd`b0rmuSg1o#@T{VXP;!_04KQn}TT_K)=sBu*3X9yoG8`z;Y!r%@|Gp9)%t
zWF!=1n}9KM)PKfTi70pMqsO4T66&lWG)an3Kq9l3R3Sh_bbjcr(HnWhMy{{P4yM3$
zy7t!w0V;@rkmIv4Cxb*HLyD^2P=L-MYJ59Y8L{>m+b63?p{OT^qGLNKaIdB>XZyAi
zitREU)%#08%7=S2;=3r|Ju|Zt=c$N}uU?jknG;0S*BbkM-cg`Vy6|d^paOFK+*8<Z
z!;7fS8)0b)6riT*N)axXL(yh29-sDeplg{c4zt!2D7<9<Zq`B;eLFkC*eJw^R1-MC
zY10G>0#`j)I;9a+>(R~DKUC<y$8~Ji9-Dwoo}o*ChZNGgk$G>eXbpF$W-jVBFaeJ@
z?Rp2sBv3`LUi1C0b9f_z&;^lB0Jk>3uXeIx=-^tI&2aY!zCYXjXx{EQOB&AmWL*_O
zbZk#v^EbBPXDa*4?k{7|wvGoevI_0KFOh$03#s_3D#KTtfI(%hXYsjr{784Jap8Lz
z!Xh5hB);Ek3}-j8k4vZVqJxc6`hKIW*z1`G`-d*>0psgkPNF&7sCw-4iGP<muzvq=
zpN;26AbnA;^~@VilzE<0;wF11_MBceE@sRS+LA8r84Y1W*(HxU8Y<hdrc?*<5*b6N
zu{A6_kj#vVY!9se_|bw*pi75tpEiKNoQCvkRE)^Qdn{?6Ks~0Uca4joL?8Uu2UQ9x
z=+KF0KSPRr%CHx`53*)y^dZr(rR45g8U!+5Mx2^lu#2JQ%7QL>kY!1qw7f=zW=EXF
zwbjaT=_Mwxf1?Xm{?(^*{ocl@bbRa&3^(AvhTg@U;MN6Yg7~Dn!xlbnBl0jNyaS&N
z5TB6<)`3p`!C-E}CeHBfyuD*q4{pgy{NnmU8;qFlRkE6{<MuZ>aG}m0xQlyx!nl<-
zkf|IUepavIALom77Z^ry$%3w&tST)4!6eB)Q7d?q&l&?k`4@gY<nncIk{0-ND_l5y
za~XH`cjhc`n#2ztwh9r+*MyH{#2U7)B|J%h_Jh)mY1}R*P9;ZH6Q=hE-K}z5!XM5S
zuzI%5;orNA(#M}_fM@8xfj*`sTz%-{4;KDKTv^ShyGv06wp3k%GUoo^$8Adgo@xJs
zCxnEwxfGM(Ot41fPwFMS#UtM4QpPe~9h>Zb%8(3}ZZs3Ru!KKzraGn&xr)0_2PZ8z
zsYBa`tGDX&mT;{pgMWDVI-XE7Nm$?IPC?hmeH-0noazdFXGiKLe)H4=)Hh0k!pUW7
z*|}xhMDeMV;kPZ^)jK-#86OF5ix0h3YF)waNN-H3?AgIhmS3>A*{VU^=27Rmj#d1$
zlr@9EZz|L!Kb23Hs0tnySJb<A)^J|CYyaJ`r9pmoT^Vb;h~V*2FsA;{2HucQXQJLl
zi-s$%94nV1g5{Wcb#VVCE<XC#z%hUx1^w9hAaY3snw?_DEfTlz5%UVg2fB>t>T%{*
z+TF@9$<4>i=f92T)s1@mlw(E=V~&cR`pUr1Pyh0fDHZDGV54;dRwVOnBUms`2}Tbr
z$C{s|MqhUJA3lGR9i3Xd7W-3738G>*s<mI!pmL}CoeT6_NZqYUDeSQ#+$k(f9uTBM
zVWeSqcTaBQ+ohmauA~Sd{_iwqv+2?KJbC+P!#wCItzL6BQUJoWmU{OCjL12~r7by<
z4`DM)kFR(sfR`EZi8qlMQH_NjV6_lH1%!QVZ2}6QBzdMkLX#Esxti2&Y6_u4j|4`&
zdgbBZ+vqb#&axxgYcEb5uoXe4e-4{@7s*5O9uED{9!^9~dOAIsOh6$wH@H31<e~py
z>DODv+=%Z>#``1e5~%89%J9*L@}N7DlbiaA2kDg;h6fEuBL0;9!sBn{LGI(9ejyV+
z6l)I7DK^qbZeDtlXGI=PkALfCS>Z>`PMR_PJu;|beC+Vkg9?yf6;`G9Sr9qfjJLlJ
zmqXtq)34KvDuA@1<6X%XVKiiXbMlCx0&-A(o@kPx2+QG4Y|Znch}c+J%*?HXlJ}I5
zg_4xO=g_AIcMZkS*DoCbESt(mYBAsYV~sMz(zkW29+X5s&7GfjE)bFK2io)>nnXx5
z{HvFcBZX*Bbz5i6s-c7Wn)laMRN+OXv*XCNGz$Mb%)@a(9qkeBp%r3Khtyw6(uaIx
zQPxSD;cMQz+?;=`Y-~&h3tyHj`9V3v>3HuNpOprR_4ilt%GH4Uv|&q47X>7+K6z4%
zTNAzS5i?yh)PfVfzRxGy717BX);<j-n#k>o(Qj!g9kAHnm`DU=#N|yAz96TCyf`kz
z`p@cue&4BK|8y0UE}hR3@1}*k_gkhiZt26ap-}L`u1|!kYOaM_YN0j*^Q+O4M&J-9
zvLwEsimc3>ZVOCkBLAa}6e=5I_@MEL!LD5mZU0)&_(0Y~S4Sk0J#+v#6wZ?({Ygl<
z@EaGdxV!$nRz4ZJCP4jPRfF><5^~C>3^#PBqon?0+)EM^AO-5NtbQgT4y`G9OMf+#
zd&jCVdYl51m!^l>B1uSt{-)699%a<2-SE@)swoUwUt;ANRzuk*eHR+36j0J$jB#Pv
z6tYgl-!Ge2MXT2(Z-w#6pkuYhWji`%z*&E7%XpXj@ngyJJ3-=TIq_f<wT&5EzfpN)
z8&uF=boSJ7WkHl0{rUB}t{JqnZtc@}poAJCbsuS8;X-Ef=Z_UpnSofiR2<W11tfIw
zkIfAQdZg1r(>VIV6l(WrcfR~BhlYzQb^@1H@R0iLhq0!nAXR#(@Y-J))Xh2PXkXif
zuT`cyh__I{eDtzk8oM-V8t-@?S~G$@->O%3v!cLNXN5HbB}p`v<Yv&1mN0wCdjX?$
zCQws5rP*CbK;6pLcMaLMu=b)O4t9nnz;-XG=&^<{8s%7Czsf@mZee68y)uB*+!~>e
zbNnbTT=UsMEn4V({M_=yZboF-dmlFV#e<G}s>GapKnDxlhL7t{VbD2qYTsEQE>xQT
zj(GD7J#cUwvPuau29>J@HRrimQOI<Nh+hjma0{Q?czSaWNU~qO)Z)W{sw1}U9Pgut
zhg2#ngD;H0T(Y5nU7H4trMofa71P63(Awx&k0GS)b#1fg-NM`0zZ;LApa(UlQzb+;
zLl7Pfs3_!K#i@7=PS#M<1L@Q?1`#U*kdi*m6HT*#^OWz@A9+XzCo1graoo}ey6A_e
z>a~91*><a!*>&ll{D*jPV4ogrsJ@@Ik?6rMEQ-*eAzBCttSWe~st2-b*)^0$Z}Ap2
zv4`OgX<;BSE-W}s7Yqok&%V%pz|=#<T$|6*LJo~ztNMfvtja3W#Jl!jlou0{42NhT
zcUns>#YP8cj*6E?%#L7+k&YXM9<=a}TDR8itu}n2nfsLScmjL2scn*cl@?6s+%-%T
zv;lQ-M5gr4V8R^^HuBB1(AAZ^BbcrQqW5h>*7_DO+x}Y%QR;M15JU8-;Maoq#wwHN
zvP)QAQM6Zf1sxPpyLr<mYeLvL*O+0)6^z6z`aH;!9<m&Ie@zK!0@vjZr_O*i?D}d{
z>Kd5=emgijyFb<dj>mthnd3IF>@WVOOywA%$%@wBRapas)|9cZM}M)zrNO)D#!OIR
z6z4crMFwlmjVo#8|FD<tf0HgpFoOV}S|6(e8B)SUd;^Adux6?F*~h<Gz{uLhVB)tr
zWOAQ2KgK}~2i%T|{ky^j@oBZwsn^wkK;evvHlP8DwK!qGgaaN2(tfihs)M>@);;S>
zw7_V|8Q~?u1#<@nk}o_b!ND13sqdfYz&br5%SM$O*6mU<-55!bM58LTm&CB!Nsi5$
zhk2lPBRT%xc{Mn7>Du-3Vn(38Y4N2YmlpzVwbp3=QiZ@66mM(K47Xk+ueWmW!&=QE
zf%&v5ED;h_Fb-Bw3Zg2NOcQ{%?PpQN8$=Lk)9GzlU;}l9MYUX0A#fSGC7t<*2npwO
z!eEmFoN*RyJzfz=qEgDfVNV2$0x;f4;R27I0h3H70t{DjS6mPz0^PIotm&V)!Hjx1
z(@#zuoE(`<UahFWd?s=3B^NJ@O}IP?(w2mY(N2Z=85K~VWSM=uzy})~H)^MSrQklt
z-)w6tB2-z+4j=i$53964Ig~4<VKX`MjoB_o#-340en=FAXEce@4Z^a(VsSpTEuIMX
zOKbnq?iGg1{FTX-iE{At{1?N0Ose1+L#O&#TofEOD@rwa6<|Qkj2K>`3KDZB)%*Cx
zpu+9Ko0EBppnmtv@TJ>o;4jkYOQS3S2}#!1tSpovz^FMY`Y8#f-%W(JzLW%~4O$QH
zDHV7+#XjR3rVhirS`M9EQjp`#btN@H70PVr1GP-aaH+aZREJ&$>=wpm24qNJ7Of>;
zthRd(t(Fv=F<FSNPBzavpbn=Xq0Yrv6IPZY-xXYugUp$Vm^o@Pl<0lhE)UcKv7uXi
zB{jRgkl&_zGmQ+zIgas6E!yy!`Cie?h63b#m{z>Op#cxpw4z7MbfHppHMm(x2_k8Q
zSw0@tfQNTig}?RdfqHSheE;r#evLhuKOLe0_2P<Wjp7Y}+`ldP*HQ&S=R`I0-8En`
zbva*nw>L%fgf^cm5TV*>@Juv=22@;L4Y#E>hQ35Wub4g}SY7h_6z@+4A%m~7%%vFg
zE+)K3uBs68lDu{`T^-8GWe;2D?e^yAukXE&RYB<3m%GVgBuEIA4|{&x1j_m2L%DKQ
zp(!l(sNZ8ET&Gs^-k_nthoR(@2_IFc<hLUEbtnNvq*Kx;mICLKy4QVYiLkW%_SeUD
zdH8ii&QW-h0>8BL?pSH;dZ_K%zc&>!@UkUvkFdfn2L<HEllQ2=v^ARrRjwrPw9_1Y
zzRR8W>HlT|1e9T!eZV!sT@+p)XA+&oOyN)aInApd6``ht`I6*Ueo%Q|{Mk{$6rz&l
zY4$rQK(l|er*Rt>n6W&HQ`zNj>!{F&tX4S~c((N9$$KU^wGIW+4=5n5PWxn0R~Aa`
zaxVD_QG>DZjod*a3e*JKeP+m%2HqHAj{4yhY=!hNwD7A5q;~#0{eW2tM$XtpyH)(c
zj*ahku{>o0uQHru4sMBqjXCvAoUa~Z(hl}*TLzGAE%uzICBU}!aQ<`uHryt3Lc1gq
zVD_7<^e?h7+}h9n>Zacao^$<lTQeI#mgIp~KW_?vT2P7Dkk%x=Z5E#JSqp>qExKzV
z{Cr@ocy!0Na0YMMZ`9uDWDHcN^@}dFbAwNE%dHot^SD~A(2w_FdqAT-;Es0~Cv<VL
z7qF5S@Wg1gSMqsA@H1WR)KD2KT&H^2UZJ*t7q$K<vFbB~_sJ)@X&ji~`N48Ou84VD
zN>R>Dj?WNQYR~BDnbAYCN=s8U?HtbgI_c$YCj+o{X8pvLNCN}>yu5RS8QjDN`@Qdx
zK3u*V))OU51&qi>Na@dS{HrhsvrX!O%N_KukZB8Z&HX9mnKOYiHQgGCHqZlJ#mT^6
zn{_O;2ak6$|Ail2`Onkyt}bN0((n7rxPk>6D;<0_Gm76?-r+hquLFn9NUu7O{$R!<
zS6#Johw;7S3?B3SI`EIGbj8kZ9@7qxh_s#`z(cy0svCB>HuN<rZcu3&Yp*kTuh{h+
zzxeM_K#8<A)F;JXX}LUs9dCNJqPW$KYcutz^xe^d*IDUS1}<Y5&#5C@DZU-}bMcNb
z4tgzce>rQhkw1blzYn3j+}n!({r+lNDO?k->sXzetsBG$=|+JL#tk@CP9lYIO#|dc
z3?n>#_hBg<^L`1X2seysXO0clfEl|JqiRJxnE%eujack0e*Kc_cH9~nmTfcK>Hc+N
zCdWc)`P&Qe10B9Bi{ZOm6L#QWt?$IHD1P80$lb?@Wx_Mh=*bYm7`LZpsU2Hydp&Jf
zeho_rG5vk}jyin%z@p~$?+ezwdRXYV*Hg@9iTQr2<nH)%AtU~#6=Q$)-8rA~8Vg%B
zG_g8Kg6}6RxW<>7F_yHfAxr8Cth<8woOzNOAR4N3#>GvTBVWAHh1eP_m*QT%S)&TH
z_c93My^UDww#(vJP#t!WEx6TWnFxGqslBI9Hex{?jwTY>A2A9pmA|Y;ga?L`DwnMq
zvHK*)Ai=IijD<Vu)tsLS*x$xunyxfrmYQv)4g9TGpv1#iwo+wK{n^6zdZ!WV9Ay?}
z4r;^Nk3L~0ZYx2-zgv8YjZK)Z%D<r_;T@PcMaY6^s{{uQQ7_&4+Kip(df0pVP#3m@
z@rTT2DMHW(TB&6DRxHzJBC+1#E0)IomUaK`|7+x~u_^lQGe%cKYq7_#2XmAT$<g2K
ztRhK9KegmGOxWK|Zmg^q8)>K|+}!Oo$)tXUmELyj^+d#XDYXIYTda7#vY0%GaxDqg
zaCBn%Q;}XRKL)X5<nqq#SUE__-?Mz{Oc!R9uO~(rAI5acHlNNf%fi0EsCJfxZtMx$
z;NXkMQ7qNAv~Jv67M_sYQap0LVL3)Y22+$V%tB`_xotoOvaC3yEUtaWXuT+R6UpP4
z$Jx9qsRw1CaXY_&H=_@04fA7f*guJ#Ig>4})-4U`xr*MEa|0L(OANOxn8KO{b+WHH
zOT$V@wfEPEAxz8edG0aeS&WUgTkc+;6tq}}jT}`O!3@60anrCZV5VD9M)sakz;iq^
z)%N`;7N_HPdFk;Y*4MNhSw1fb<!MoDrJ-Zk=!6!()sZFaY^j7>bA%+!sT|c|KRJ$_
zKl)s_#&QL-s%!dnhgT9ZAHNlFy*i0ydGB4m<FkfsZg}bH9F&0K)SwuZA5$3l7sH2?
z`VGvozu$X3K^#0fb)w$|&te0=U3pB7ZDB4&=2g#I#2`GzSvE|00rP3<#VbsAFgtcv
zJeNldd`8XJO=}mi|A;~%!G_eJc~jZ@=m`QS$jU55#Vlb{rdGjr)U<HOHrYGiohZor
zABkNGUcsEqzSLvubU-<iCY-(N8TS?PY6ddaFn%lJW7)f&IU>q0^gBTW${ezKc&Ilq
zrTxLWPD#wb_>`UM8lwovx-~m8Kik62nW0zBhHUU7<89YYk}%ZKy4wuh+rf?zYP>i#
zIHCW}dWgB=uHVq6o9OsZgYAw{#F!B`9JXOve%mPo3PFT=d2L!aI<omLot+mr<&#;g
z?h3)Zrx!LaYS4qPwz}mbPJUn~<gq+BBLpHg359#T86i+tRz6{`AXHZqgG7%BL3+8y
z8M$xFKrLZfXj3H&S@}j<ln@~>NC@+xzs?4!L&e`Zd<mdLs9ShdDFof2-dBvGIpGM)
zWqE2Z2{1di9UedwhKccWv*jnb!7bD}-SB`EOjomh+tViuUwc|*bhUZGYe`K>R9FT=
zaB_Rq7ZJ!|ztzjC$q(JBb6p}#a_};y<xQO+0o-d}OvjuM1c$rcx5gwCz_q<v<mpE-
zcxLC{l-(c<gJ;bgW{xTWi`?IR`==!U-@H)Qf1CjAt{J}bA5~y|@Dx$kUJBIqDoi(M
zO8{9u?TeGG8cftbXS(-S8t83xT%4q&pi9reUiXqZOy&G{x|2~32Fbi47e7ct$_u5{
zjxS_rX46TCi&6k{n%>KMB4nXI);!WmP7{`?1h0$)D+A-@6IZt#<RMA-UVrX+EijTP
zt#DmX1*VHbQ}mjO5MT2_V=7Y{<e5kXep~8L&@m;hE2a$3JwJI!=IX$&w}LU1mYPsk
zm1T+Oh+yflPp0>*E=1OCN!Rvj!`bWeqg(x|(6)Dg%63Q>WJj*n#y`^o@`K;<Pw$f8
z%7Kh({b^k&(^-{u$TWnK8v#?Ko9gh_>vUt_6<x@B`ZGh~r7_sq=MK*)kwKjOu-Rau
z4(NwC&Ok4KA6~SNm`;YY{S(9kg4&?1M0nI>K>?4dY=x>`GK?hjHQbTWgei5iq^d+y
zz-d*_Cl8Q;hOzHtQG+_f<rk|Scx(n$KVAmB$|l3!1IHt3jEFGU=0l(7YYzL`dOrv3
z&YKf~e5TUnf!S+k(DIKt+>ZEWR=s=f1+OeqoYy6xFqW!xTFnBY_<n7#$&+Ae%Q>w|
zP7wCovn^j!uz<vPPCuMg6{26OCUwWNzy+JCYibkbFvn$=R{lmAkgkABm+K#_ID*l>
zGsGM|UVYQ=NLB=*FpEV4$2jhFPkg%Rw;9xx?xC4^BnNj5TjI(isL}G~=`l$QGayW;
zHHOj2fY;H)&vA1sXngjFF?X6NWDj-!nG2N!ip9)NR#t8_<NdiLWr6~MC`acTCjkVd
zt;TzDd6Da{qLFh36d)DEg}y&02wU+cha`gdk;i!9qeICi5EyJ_P%Oj?Umf@RV_5=d
zM~6iyd<`HS%4ol+a=;@>#=L=pAab=<kLdCO5H1=1vhOPcWIWtUc>h!o4Vl>4FjZo^
z9aQLGCQk(l@)~?A6@qBByZnPkwJ|Kb8TK>KUdEPKZ!|9C2qGP+SNexK_dw{-x}Vw8
zQB2=e-d;CI5KRyisSa-#0hK7<PJ4ekF6WyT9%3MfWL#%68%RcQcl^4GqR%MqZNks4
zPbG+&Pends4Kjqj@s0P9tc!S2PG6qiX94uBKlJj4dIMN~!TTegXB~H(n0~^LFMw$M
zL?tRD4d9Ydj&GpnHtx(h({nIc0Hwt}b{LP<hdZq4Rw1l3DAKH8JM_K)`dko87rv?o
zUc#Dkq#Qa_rt(So;Y$JZsdl}z+fNS?>I+YPq+&!4_A=`#g92zSPH`e=UKb86c55CW
zGo!sSTH6FgLB!6vcAq{(7p@2GXA;@NisH|YzFE5|h|W^pEZQ^a!ts>#hj)qWC?ME9
zX`5LHS+{k*(9hBVX}5Df&oFYLEFQXfEJp}MB->2YVmff+-kVzMGh8UYw58*TlQ245
zQ`@pVt_?LiujG|&xsjW?sL!&b2zsAkcUv??8(v=ZT#zF1pi!cu#3+L(x|AMCJY=g4
zzA0wrB|N<7TP6KtS_T553~^z!?Aq{P`s9efCNFxq$gb5XCWcgO6DcuYwP5QS{V+`M
zp*OO*qdB(XsJ%k0cVC_sOk3=C`Pt8pj`ynVO;46Uy)^c0qtRMW_M<8De6IlN>VNsE
zJ46!YuJj%3JFT_bub%7zBZ5fd`ha5@SqgP&Wm@&PYQfS`Evfn?AynAavB<S7g}jJY
zQ{xV5!SB`RZAl&xG+FiFeOrw*`d;B<_vEM+6x`0%xNanh-VEB7-M=k^vX}|m6Tw;_
zk+#@HbAf=^-T#BPr)1G$o#;*8hguNWxFCX+iJ{xMYa^-@IW(daaP~*57R3D6E{&y;
zKy>B(1Bqht2n$u_nd8ug{{a91|Njh^cQ}=A7{`t5b#Ux;tb>DaILEPXTSKK`|D>g8
zQAC*~RFo7#W@KknN}+QLiR{V>MQKT;frNhN-}id1>wVt)dEW2m`!Tb1mK)U};RfAD
z&sXNjIFz*azZbqV5UlDarH+xX?_qs~!7~k<E@Pixd`ttU-l(*l$;znMUv3tVu8A2N
z(;g<%=<uwqK>VGp3Vyx$JUV>47FKb+x{y#$hbJ?M1<{KtSTnU*_7xii$E28&CpQ=a
zBd@&AzCsl}TN<9!r&Cbw`Cv`jtTFV;?CN3nR6|i6_Z4MPZTwl-cJ5jZ1KfoTjm<gK
z(eP%er2t((qQAjGZRFy#7p?O!fv4;E_S+Yz<CCdgPp5os^qiK-&Qvmm%6z?UJ0mjw
zdBS^cTctMU_&IFc_r(-ezCAwfTu;XHt?9c&leF=$k^6>wjb>o&ED;n+(ZG(Y;rgBy
z+IaAWer{uuIaI_)?psOFz<XX!Q9GFw>?2=e_i(p>vabc_yn8fo^@Z~KF)<1z{BE4J
zm$QWTpDJh}e>L!Yu5JEWQ!Tu9i|X&xZwaM8FP$tC(nNWuovYhTG;y_O%h$aptiWZv
z|MEPiCVF17>*|uwK((svJ?A+AhzZ0_z6lKs3%vGj>!3Q8EB>-I27t>GUYriu8n~VK
zS0eF@8ulHFucQP54DLI(z1>O!({dv|rK_l-hd|%f<|_a^Ct5^ZJIUz!tesr^NEsU@
zMbn;^0K|K~nBHnhMiuuNu_PZ7#zo#u39AN>SohzjtXy?`PFwVUBBqE#Wx9*|%K>hO
z|IGILs)iT#|EsxpK@R0_z34iX3GhynmPj^GL#pe4+cvJ1!3)GIn|mSwBKCMV`Ua??
zQpfkw-CR<b+`o%a<PH$6_EGUtjta(CuUIq^B~UTRUVpPT0GIR;Th1P3G%&UvTlEpg
zvsb1^ZNFN<@?YU|FIP#Z$n3Ft@lF)C?Nv@{Ib{V{w^^&3N<v3{IW60p1T=cK$Z=}b
z5^hYY2-giOV%AIj2sv{RyvbM>eLmb0{xnr&s(2}&1$S+XY=#iVWR-Bd_-O$XDqRs<
zzRTgig~=s;H$j|cMENZpumJy*ZDD`1WbtInR@;$40sNT1Q+?-{IRsx_k*5A9gLkyT
z7B-CY;|7a;S=yV;A=T@=;7Nuw-eKzO+?mRcu6M&rT_2l4_n)G&4qYiE^-pJ>yTp$S
zdgJd3x*2FS2>4c8Na9ap`K-6C{J7_QiSqMGQ|Q~lE$neX0)^AXk8U;)Kx$`NimSRQ
zm|S;=sJKPM7S&UGB6<Xnyi}Z7mTv+N9`!|R6(VBoiTy_3t_kAcoZKf}B@;-H@%QSB
z7smtp879l;g>e7qH)BQt1Ag8N2}zU@N5RQ6BaH>Z`0(Lo8=?jSg6afjM_R?O>fmWA
z`?v_Y<$odb)*3@|zfz3AIWau<g7=nE4gq)Z4}hDMF|hv|$_m;oh9!~Nh2SlUJ(tJQ
z>;~vSAyZrTZ4<*!FKl?rw8b!C`^Gt903F(s+Y>f<is9&D^6?!4;<!K}G6_6%cv&C+
z@5Tu+EGFA7AN?ziQGYld#Ff#&?o5TkY>5~itO~v6uuMcLP0`~|U1;zsqGh0SRty&+
zN;X>yOJdds`92yO4RX~R)W154<4Pt&YuG>v1=#KO8r2!WTTTmS`Fr9R>{SzaZof2U
z+_>9D3o?R{>0<-h3?h<S-z9cb%ixnJwWs%ujNr6ZPZN6&5jQPX{QSo+hrM<)nf7c(
zaR2Vw_KTqsc(_os_vlG^w7K4YC+vkGv`Ni`w;4&|8^3v3-M<R>*0wk9Ppu*RTHWNB
z%ewdZc6Z7Amz8ic3bsUN8bai)T6^x#QuwZw@Ui(i31tIMk_QqEVL4Cu>8nX;^h*A7
zcSo2qUTCw4ZaZ%Xw0D9>-+qz7;J`jjp8r&kKG4@;nraAd0;f6}S^H~?e(|8&NfjkS
zyhY?I4MC1eDCniBJidK1QfzCgh8zA{Zgd+kgbaVnQqKqlJkf)9uj#2{vJz2Yl*b6h
z4c63X^(dlFFk3)0nT&I*in(W<je!4|Y0^$95`N|~8KcN+pf2syb(JC`5V88&E!IOq
z+QLwb87t3@8AJtp3DN*{F5LWaUKuw|9~of&*2MPb^&bo3X|Sn|DSB$13Q~Bk{iOA4
zp_$Xd97&uGPdzG{Uhu18qkYNkYgrWBKk=oexRwsn36dPIo~hzjZIK<vHfrO?G|A9Q
zyNtm<_KBhB1vRvsS+EqG)J9+3n$s1^42U!G*jizujxXK5v}SJA!HWS;66oI<u$vUC
zoc=={yAMyQoW8DuJn4_>vC{;!ZzRRXr<3s*U-j*ZdpcMjtU%DKG6jF{fg%xY4b(T!
z)qInug9(3M^<lahT>lV#gIUS?e$lrIO51hNa0k~x)fjVNlg$PjX-zySUbMK_uZ^OX
z+h<evSwNRcMn*z_CI*Lgy&jO!#zN1=lSCU!=&Rt0_>!-Q=BIWZA*`j~x83tPxdbbC
z*dXJy>wzYAo%1c15!b?|vhSmZyR2X?SEnTLwkC>h5b$U8viQqZr_1_%VPn(G;Oj(9
z+&VMh?i@hIRsLDcZdTqt9PTQqve(4wb=9%EXVvgIDRwC6E{h`p4H4u?4IIq7OCs-9
zMbkCg-MU@@=&9AuIrwT|anHVYUIWTV*Jp1l{0X3uOtF31M#i%`=YDK+Bw?9#%W0cs
zfKs(5gNsDg+z#zt`E*4AgU(fZ`ppBV`P%BHx~L;}TQ*laQx=mxii%R+0#w}gnMsdU
z!+tfX4e2Cl-1>vGVWtIugS+aYc%do=g$(efHAx_ci_n~27J!&%{d0a)!Op6hm8I+A
zSh5w)Ufd60aaLM+{irfp`#AJkJ`zP<El=xIU4Wze`6({HNx0MgSI#Ll0=^6j7LR&m
z1yy%W?Xn`0kiyUP;c=!A?oCL`>)UDti7(c4q#Reo(^Zm<fd>R|ST5Twp~Vv7-JSIJ
z_Q_+9#udLSm3+8Ekezu?&k}43v>z1M$YImfvyGR%d6DB}RGV_91+=aEvR18I22WY?
z{<r-I58jVvCt0yuK!J$Voi)d#G00(ZZTAp2-u~QdY3*+gUJ+p&wNxqOJXfLUp3IE_
zW5S6_17^U(_T?D|K@!(j<d<<LaU=PN&upH#8Dx9)U2)@=z{f%J!(DCMXj>dIyR*y`
zUU>>ElqeIiYw1>Y7L5nLtqI~Bmo^3SrqruBJ6JjYG{t1!OCF>(sl5+RG=X;$2fh~H
z6vJwT)AMTiyqL9Xy5kbN3GA?9=<|t+;bv?5#Lg5xY|*jE_6%o$M`dBcw{%hblVzx?
zSHh2+2YKD){uo2daKCvNT@-BvGD++c0;m&MoXQh!3^v&rmziG)SjYL?tlCHjT{+u>
zx3L=o`TDlYA0H8L^DQ=oZRNtqzuYfnm_!Fx#adytVgfEn1`{_a5iltA@U1a9IuwqL
z{;Vq`;N!qO$Hx~5*vM|{aG{0<C(2Ob&piSrPbj32r$jMoJUA?TJq=b3R$6zxCSa%4
zWv`pB#L##A#;5sDMzC8t-zZvM6r~*5_WhX_M}vy_XB(1@pgQ8-tG|au@#pKc@nh@~
zD3_Gz_T1D6^7g8H$bK%0)?<8*GWwFpz5A&Bk1vLh`Q&s5IE!J*na1XrASrz4@9ZpF
zYzWMlj@hwMF+82!QTqCcG)joBzwyk^kd*`f5>7>kBi&}d$Pay4v_pTtbUj136z6(^
zN+qI>AYams8ae#k^N>rP-4LQ>)a5l<Jkv~m=XBCu0SVm1J%lkTa7E2Y#g0ngtKh%s
ziQg4bw%q!@X)_ff2WPAHcS~a3dxI^v-C4P-@L(~dmI|q;)H3@*3g-)le%-TG#uKhi
zX*IW~P?!^}Avq_FqO!@REesV@+W(3%bB_v{@53}6Da+#5BI}Mhx+?Y+&TgdlP+<$Z
zvvP``99|1K|KEbS8uoms>$>%e3Suf+DvOWgQK{^631OW&PIsg)AJaC3B6Y>9JQPJ-
zCq)_g=1#^p7k^$TJkFY%{WHCT#Y(u}HE6ZmUjutiH554a7{Zs0<ei$CERIn0x++68
zQHNL`<7>`3FO@BtW&4zohs%YdJW30PCp3IB9~r?eKA~KFV-<{*^HRw@Nx`j$%nA<e
zpuzazH+Mz^R55Bmt88GmHj*x0Y?@)C1C^a8!E;g-i;BzPm!S^UXfghlA|32LN;R|9
zsbLP~jk(Et9qfM?cr)v&G0>tqzTS>iNB((W%RZ)y1fL^bY+(#I{$j#uaUB_H1}^(4
z1G<>n^WnMkL6%?KnRen`qk+pL7dHP@UG!US6jBN>g%sk`)u~$=c=EJHdE1;Wirv{w
zGz~O^kcyQ<$80rm`0vIf(NbMh%M0ba5oQj)hUzAFQ4`ln&^zW8b@7V()*DTc7EqJs
z)Bj0X3u9dCZh5)t;M>~Nrj(Pc{E1ARdA3IjvzS)9ineHD+rJ~Rf__$Tuv);VDOL-O
z7e1`CvAn~@V~ndx5kPu0%zGhP3%9y<H>wnABFF8-R#g@kq_!G2-g48z_P9NSwZa<s
zE2r}!bOA^@wgo8*XrZ)}?9gj3b$kZ-wB!8NaQw`9|Dx-f*qgB!&6TN&Q`$O;FX-0r
zFZD_81p!SYgN#L7zcSu9+~!Mhv4%a?8SDZ+8Ys1|cd?W}!Xm}Jd#60CAx|gAUi=yv
zD}=&d@;1xkOwM=qMb`R5>8<MG4eIzORML+3stmrU3x7RiY7H+q{u;LSsG-`Ff~k9v
zBtCN{_?b&u!(GSE#Giwz_~;w?D*viD=83Rp@xKS?Ylx?98dkyn@U$7fo1&PP(BMj~
z1c*hKLGvMHG|9VgvX~))1AC_&QUd^vfBn7493tWKzplJ(EduDUYeU^v6#${+CXt4R
zN_c3p*z)5vFM_?q=^M9L{7r18QU(>!-QT#kD2*F0d^xsXSHub?#rs4ba?2yP&~}4!
z?Q8JRkaBtZAxqfu%;(a^EwZ?6>L)?$C?_ia&MVpW)B>hm{I+-2Nn`Jv%}iu82l8#{
zRB%<bfXIIrOw3HAu;P62eeW;q$dxE&$q{W1TNsbePQ8-Am3>JC9OdjR-oDOu7&C*j
z-ut_~bBXvTJ722z7CVmJ-P<=}#_|a7_KKz$aSV87<mmd99j)&5aXRFhLX}?je8m|t
zl!)k?KemShZFC(KesY?^?Dd5D@Iq0nvRD7-z|Dyg?J=%;hfN^QM17C_6af_qW6SmW
zIkAoJ^fvk^12z*s@h@2rSo!(R>^5@^<_7eP(Kj&Q<)+AOp8`biX`A2sJw03~bmQ1j
zH#CMm9TzdtWMLGXHY(~};>M23SHllXjG;BhSVH!_5cb+O-t@BNMG^jCv8elWu+8aI
z?l~-kfr8x8dL?{Fyf$&E)r1a;(ojTF6GB^pUz;3R00)eHWNMHGVGG-DoA3x>`BA+S
zu_%ZsHj<(HH`2i5z~vv25<=K2kZkH0DvWWlO2d-lMgXrmUte_=!frQyqY-rip8s1y
zpF3s*b<sQe{HlcTkiFx>yGo*1WE+3mK-dTjsO1ux#=@BSHU5DPMGWtW+?bcIHiUi4
zt09{{2&3J8b^h%R;&^g@N-c-0A^fF()k%FMg8K$$+gw73*f|rXVZ~_(4HL6%Cw&O`
z_LI<nd%XlQ6~4bVzfT3T0}F~Sa|EnfpO~3TkisJ&!beXWqr%xO`pH}wq8ROVG;T|@
zG$v!z_AnY1<V(Tg?N%{7Q~L2v0+%e_7FKva#YTk>ghFd46>$uk+qu`YNDc=B+Kmpq
zG=Lhl|9Wz{iMUI{BaY&&fKzD({gZbLV17-Im@AtE*3fLb`gE0W`m*^3N{#^}9o?Kg
zA|i>uLN`nnB$4n&v>e0XiUAxc8Jmx%Nuf{KoU%}|GLH8tpW2dY0Hk&?MnRA?HY8Za
z7qL7(I^<AbWRU^<S2D-2X_di+EtT1k_f;{@K{rRb)d2kb|Iyd!$|3jBMK;4%YWQ>h
zEF<QZ0noYb-f^guN7Ij~PF>t&?0cyotY}OH{UZGf`#=%DPye1MGS)!8&Y(H(i&W^(
z$v@=sQ3->?57}*F_3Od-eZpCbRM==eR4mj_!m001My_OOA$|Ls0MS#1(D&cyj!SjQ
z7@_81V%S1K`l_H}o0t)(+>*aBo2P<39Jkp-C$y1Pb&|BR#R#r77St|WRK>Ya(?{~}
zbnxJ>4OHPI8ZZJ|UN1zbVIV`!D5P5#*Z+&9?mR??)1fu?cl_0{YMq97R?1qG%-OL^
zVvjKxL%@Rn7Ba5;k-WY^Ll4#dz1_-ngaKYFRvME!8pu|4znz?*hYO!H^B2yWK)(F(
zwP8yd_($VH=Rk=bUUr`G&b)03Y=N<_*WJ~`6F;KguAI@s*x88Om?<-`a^4>7xkC#}
zgMYjj64yiZC|cZlaSQ0*Y4NUaSPMC85>`m=Ytb^f`PWMeOHeJ5&tRBR@O4$NX89If
z6khZW%<{AXSYwj<B!q$obF?6rT?Z>SjeO)c0LUoTxpn;<1^1CQq{kkk;M*{5x58oo
zKh5}p<v<F?B}DC=xy9n!(>3*C0@kpUS-RyU%V(A-nMni4@)57U&fMPC@F?rStCeOg
zl$pLc+VVgRMc5gt>>1YJk`ylaOjiqaImV_2OH}Z-OH%rwN7fKy{rb6Uh$epg<jbgJ
z^@W4GdCji&T7&YH@d~LN4gBrleNM<k0eMy`xXyK1LsxHwiA^~fMPm-m(?Vr%G$pcV
z^`14*v+hep-%v-fyeILt|0M9+FzvKliZ$$e%=bAzQ4Pgz|C-%3E`~~Z-V~evtRW(2
zvDx>aDn4Ad(sV<bfMv~NqaPHk;riZ3htwTau;av`Vxj#4_;2x|=#iH!AGsb1!>Y>I
zFZY5J=fQ*e-*PED@c^A44P~Elk#O6Uk~(9yHCVSbmVA>n&)=HU5r&frXjiLPcX1Ot
z`UNzzy}e@v<tD9H5_;s2{_L{T!+=$0N?2NG2AdUlu+5Ze49g%}uVvgxr@zd>G<BW)
z4VJJtl~)<eE{#J<gej85AEswWSkIkw3%HQg@v?5CBt~h)9?7p+VDA0wNLGDo4p-ls
z30gJ~QONVtHkFlmrazs%^u2*OG_dLYzTzy7dbOE@cVEvliysZj*2bE_<M5!3S2@M-
zYCu}t4On3Q=t8f5!=})dy6aQc7y+Ffemh?jSY+z{H0x2Pn!;Avn^A{q5!BIn>hGiX
zhk0AY;(%AO3ADd%)PBs$`KIB+!!o%`%wCbDn8z$1KO^-*@V>VoD!tF{&fmDqjONWL
zJL<{+>9l2gE@1)eDw4@QNL^*_Qoi{12#X`#1fihl1wQQav&_s_V?$Dz-MRL)#-P*Y
zcb!|34}YF5)ChB6NB^E_z32iu)H8mu<@@nseJh-gkK{my%D9p1(sVG`vQ!=So(Jh}
z#-^SfoR~uSmZY9agV@-T3F=iIjCzx-txe&=x8EjjXb@=-)3s80D1ZlNMfJ5>^0_gL
z%XO$W!wB>!^-GSd=Z;|sq5f-mQT68@>k(xmpfvit)k)#O4mUZU{ug{$nxyRTfW?a(
zJ9qElaULwIi!c#L7eLL1kLkfSh9Dm8?&-am7Y`2mUk?oyLS@x4NBSrg%5;*u6<Pgb
z-HFHF8jgwJorXSM!%!-GzkH)=D3=eb?bh&&br6uG*mAC1h6?1cM(axv{5Y~&#bY@u
zioyZA`9C!qfR@dL{In<m^cdefq^K^A1jfC!>jDkH+@m_-+)Y8;@srPhe4L0`^;&;u
z>IU#Ie)nd(A3|6=l3c((B7sDgze2i``q0qsJUO*b1Qkd5$GqI7&`+jUv$;qg#`he(
zGZI6<B2F0U{~?VT96_zwf%>o|)U_;Qk0@5IUCT9HCX0^w3h&R_>w~{Uaq+U37$zQ#
zpZpXhkMH9we|xFvgWU;^2jc<a$WQ;iI(JMF4|ZmUs|oAF0i#?Ai4-ETef+$`-Ij!8
zj^+%`HTqD$Y!-B^R|0*8?iJ|#r;Kmr%g1bZ^ubzSu(ygVg+$|SjfQv?98QQ;c9GGC
zTtbVB_cdu8ySes&H&YeCRbiyrjP>4s4Y30(4~h(;R=?&_$1ABBvg=v<zj=|=BKbrP
zZ)MOP2e7=RlXLIohxPhUy1vg3V-+yz!$vpPyBc`t=MA&pk_Hg+nR0E|LkW4T99wxM
zwQy0h@%4BTi>J{iM7#<~=$de8YkwF84g6_iw(?Y%GIZpgDOAQQk@mCggWA|J?d00}
zgbER%cD^H(Dp-3~&-b3DE?RHR{91U?5Ni0N*n1jOk<@MWL)33AN*uKNofpKqhZ)4*
z9o=f!7d#g$6sLzpemRW#V>B@EebguWn&oNaxHvxxeeAZ6r~gW(gThubvg-_sN8Qdl
zCUf*L<WyvaX1g&6A=??>Sq%)bY)(*^(8q&}Jr=D*6G$0IV39`?x252dq(yzamRx64
zb=(xz=_>f7HE7{Q0@2Cmqdso(J8Ww;ZU!IxmTQf|DY&ckaL96*KAM^dEc>prfGbbZ
zj3uPCvElHd$T>58q&s)-9;vbfQ%j*4uOybgiS%bin(Co3F<pL&9pJ`NGzZ6XZBz{D
zbO|ohMURP%!7_OO8;T4aX&<#QxR+t{r9m4b!WXXwQLG{8#n(;c9oo3uvo2cqiWd5I
z4(2T7S;ITV)5|YUXruOP8RH37e{ep2;c3gVHBjVMKXJ@aF!B^6-a<9pA`-+yu(E;p
zhLvlMW)v*qvexSY6)XuiAM^LKf#ODC;Vqt8_(uK~<9WIgUZu}xq#n0{{-+!i!gdy?
z2o|C*r(}_PNb$nX12*v4+=<gyPXpgk3qqD-B=K&ir_EkR8z?wqX^`?$9ZTuK&W>?n
z_;;K3=>~BdunN*1<tbIedl|>4{1=6=V!XHMPM<ZjIegA|vrQG{-ST(V4)UN`?V5>{
z)7Bto$01g>qKxasRPkvM2kv(9mD{Do@+SSr`??h*G$n*}VC^z9>P%Ml^G*P<#`*{K
zj}>t!+mD;p_M54iR+mUU05E>Xc=s_Uc`OLX;Q8bEow?gky3Lal-~`n{zHL?p!y`tW
z)+Bvoe!o7b7H4J!)!kB_R`*#w)k$#tZOs%jhrzkR7i0;7<65g<N+eLDX8+QwYvat4
z)P}~_r4}GQL3($gSsaH7AG)PUj4+c1miyJ-nZv!DFpZ`)VyIgpI#=v4#FUt{d!MFi
z4)W4x58DM1FlJ-Y*@e;}=EHC;uHyY>Alsa_cc-8*)*fH%V(T7Zel}2QzfxlgOFf~6
zVrK<#*Y4L#hC9ZYJZ8I21h1Naby0})l06@mDO@?@yYz<Heof)*dKVMec1q&IyfY8B
z&Q%n0-hay!*go`pO&J523sRZI*SJviG-)C5>3b$IvNz}g7XxU{iAyPpYj6+GBlnZ?
zpPA<$yt94eXABW@hgLREa9~t{LJC{)Eb~;OveB6?I?UW-&gKuW<397$Ma8P`%;5)#
zRuAZO(3#%FJhQ-tKB?8!yg5IZ;w}}BoNm&<LCiSMY8@MrbybP?bAK^~)!8XB(lkg_
zaI5)t?jN&G;nRb|cjlS#z2qdxWFz3j-j&T=t4y`)_bShhEi#D@M4ssL8^MRVrlam|
ztIPwk>rR`?|79v9B{RLw8v;2hB=d~=Dl;M4m;HLk3iHxxL3*+v%Tt=pY~?jvW%{@r
zIkEZ6Kj!&ICr6)Nr9yqy@l$UiR+%9#VV#?7SUjC5f5odr1%$UQ583`Pg`a-oDJkGU
zx#Hu}u2lwb;K~8M#m0Zk;NOZr`X$#Or`(&)Mr#A;@TrQ~?#_mNyP6)B7jfaa$DFyF
zNA!XHA1D9gSvC~S%iCzTi3eL;t|n`S=!2Z`oY-70JF<-^dVFN@+^;p0GeANgQhl^8
zc^~4yhEL2tk{kl)zUPo~Ot2nUq&&}m=E{k7e`yEf#f9*TqMdYW`&t;0dVhNJ&NW!Q
zJ=Q~Ivk3M)Q)|#vUkg$%@&m0CxbQ)b8zGL>U(6;BIPSQp3kTzSbD)nKeU63|Jz@Es
z_Hff)BD*eReYp5s&zu(r(|oJ1q>AI<vzzZdPU}E(c4aEHn-4eLdCpIlm%u>#1H0FW
z=zvLlxocUR0DczcHso%V#5$kgLW@dmxc(){N9TYLhS#abxn7dSPdu5ceIDBI{m;wN
zv!No`s+LFfkCeroYL&t7Wwe2`(M`nV6#+d4*EV=wmB%&V7;)z-1%fk&Bpr!j=#waP
zo_jzMEko~Vb&gVC)6|gxode=HBYWsVP!0*Zw~SI$Cn?}X;IKY3OvDRU4@~=iP{!t@
z(Frn_HryXvCRF=L;+bQI4=y;U;`NGmo9?dH25-kkzOUla_&)#u0RR6CmuEcHZy3hy
zy^cMz=Q%j%*z<Q=k=0V@UkNEIA`KOlkR%O4qNUJ4DnvMU8YDy;SsBU5URi%{pBK;i
zJkRz0Ub$71iJ31|aCUy$U!{}`zDl3J(0iotQ<heMoUIyq9`L5yJ5#`O(BFXjqYSR!
zn&iKyQys&Zj3?ZMwPEXL>DJ&5ISlho^p!uSiT~|pIo-#v1LDywSq<z87}Go+P;5fR
zo9t1RIkvhGNRRt4NLIw!)5?$EjZu&<@QIz&ZYsR1HD$WurG!R77d~j+(Los~*wJZD
z1L<2#y%%pPV`;~>sCq>z>b0Cvtp+-<8FDt%^{Zgfs@ky){ZuU5o0cvZqz4C|Brs{y
z)bNby-1(0wG(0;lQ^H=U4+VQ3e!P4_9o5;QsHUoPoYFDtwx=6H^;zl5kE=DX{JdfN
zkIQrve|^2?e7zAc7kT)qO=;p$y2_rBMmpYjeszj=$^`iO88^#?$Vkuy_PBkaV}xG)
zc4Y@M*vgb)c}jqSSL=;^y|d})8h#{)A#DLcG_s#(F9qr4ho6?J(2?nDhNIDtB`9Wg
zUXG5}#;u1^x5)(1aIwouT*?h#_U(;R(&O6LxrI+(_y840gL6&{C|N-;`Q*x!ln##E
zxZkA`qJu>SXJP}|tRSZGk|Yb04)R-8eM-Db#*R_`53v!}Fi+u8ZM&_Fw*4%lNmn#*
zqxyjt4@a!wC{^0LZ<&Hwl&mvz9;%1|J9pWD4G7lw5zaCc-03jB6e6L7PN}anKZn>r
zRL=OslT|IWes10p{#g!}YCC>*MB0G(5BKcsXPS5{QSS3%vjp<82zX!GYXcldVs88b
z4HW#zc{IsI7&#@ra1eSn5OYXUqOVvDrN&rJ9)8P%=NJ}){X^D}?J4RrEu@N;9p3sq
zW-Msk>N<DxvNcrgyZPe%er0^F>kv}NIm?KT)%5{QYv6tJhb+lZ#7}`L*Z0`>F&vi4
z6U54`K<mHMhnv?aU~?k<cw%x6<E6z_*K!*xC@vZQN|KPnD4G6JCwe<^b};uEZvy}w
zy`J@mOXK6V!kc{+gT(DRO>fh+`#&&qWTeMh0yFD3u~+OGCx|PTRtjDcaCsszGWnJ$
z(xP*!L3oOA(}=y&^Vt#-W}l?{=n7+yy#LP7ifMxAVv6yev;aYt=2))*L8QFf;rA|i
zhIpXdZ!jQX0e$MReSKeek=>lJ%?W3SyIp<i6}IM(@sjf}sB@u@VcksXu^A$Lb)9L)
zF*DeV8ZTOZu%YVRw+m)%)5Oy9VxRnTQ*hpIQoz&4jFnq6{+wl=CXV^^85zx*!0I}Y
zVb-`6Mj_*yn;iQTvHXZMQg3MjymuZ1tF$jL^j3F#7@3_QKB&KMj=pFNg<R?;J(V+z
z*}NY;@B7Ayrw>-j=X;DmNNc^<d)Z0GXxVG!-A~7eN92IvUNa+54GqgJY#(Ku5-emY
zEE^@r-g{~%GYw%OZ^J7)`$2~3Q8v@0zG33I@fFXm6$6ORaNWn|*UMNjoa2vyA!78s
zfOgP+1DIYI*>%{mlW|C^cEY=Pkhp&GMCI-;`tXdI>CDg9-xy0OazDq?eiPzV4~rA*
z^r7;(NM@NqGsC?+v?BQ00FfVTE>TsX2haZw-7W5a!?=5FOEXtPKhb?l?aCKDJrK9K
zo-A~@grRfu)ip5fCphw7<vn^rhbNN}Lg$GK3|ef1pL$mx;V@dHr9`6x-KD(iRpbNW
zOVs$v-SR%-OFdtKbO{aiY&^+qy6GjcE^%K>W?df<8@VENd@YyC9!{}LY<xphJC!-h
z@b(i|<x;%VYpF2R*7~{OSUq7br}^yg>3(9Yd%HI8HY%KzUU!T`v6(nRH281T7$ExG
z#S`QkbRoQbHI=3B6LExZg7-bkZ$f8>Q@+)-4sh!yaG72GN^m*zEA15;Bm(bPf7-63
z1A}^Tt5HTjh?mWgsfJtr5a)vkG~2EXBkh+PUv{<;KX<%H>3%;%gxKV@e7r;f1*Na6
zMprwCM&sPu*CR&=%WEzQGfiX|o3pEE*X|}h%wODLviC1>Dw*fOWf3wwZ0_pbcDIM%
zn(KAEy?&gy`Q0laahDcU@zf~kkb8-1`vy|NPEHWb?>e2E9&18vlE7V##y;Zs9`NS=
zHc9Atta>{!Yl3c}G2?2|0P#j@U8>#oX@WIVEq!K(2E+}0-2NbBkcdkkSO{gBB`Ry{
zYTuTt!&g1={O!kvh=|wPr1d}Mi0hAs9#+VygH;km>Tlr)(WczOVE(m0q|bbAX^mF{
zlE)H{tmGJ>#J$SmtF%OfFQ;`;XH-EwIbmk;=Qz=4_$#C0<_gjJ*o6JNzbYhGac#fg
zGD(nocpHuvGC_C#x8}b+Do|&z{L8gxia1&MW#kKu1%%}Vz4P~|fZlXeAUSJ>DA`pQ
zL+W4!exJuA+kRzu&pkHg9WzJ7zNlX?dd?0_(m@qs2bIBEc|a~RV}algh@CHc$qDP}
zx3d$NmEnlli|LWxMdFK9QFiD&H(Y2f)l|t;0s-O0D`NpG#Lud^Ur$2$pz^mz=@nBY
z$mh--+MU4!&nnLxw^J8{9SPLnoL)t6a#6C0k!OK`6RPqrgh?=*LrdD3rU>$3vnK3K
ztnlm<De~|OVW{spwP|syA}}BA?r+ayhf^OM+(HvXVR&KPJ+^g<u&4Wyvr92242LDz
z2F8m6<5K15=2-<uXtz2!^_LqGhg+6iN+sdjX;~%3E(HkeU_1N5j}J<_H*1n)Wx!AL
zCZXQ00PUWmlTFfsaNV79^u|j$u+K}@y+5h|OmdR4pSVfTt;V#+#aRJDH=V1GmR5wv
zHU(Dw4}~G+h|hiHc15_KnYw-JK1JB?Bv%%6NE8CqYOT*-PzL)^d*ifkir^BKGbpuB
z9PE$F2gvPKg&)Qn^6rNzfs%Wub#R;{9PiTHc590|><o$@ZMRegngIW$$j{Qi6tDX&
zb-yO;QIB4@wq6BB<hJLOZkB^ntwpWv*U12asZHuvRUxoU&C`u(ZGYjiZEAhmun@lW
z>2tC=n0Y6Q)`Tj;r`MvTdh%58*cUF}DW?fjmp<HSpHYH{T}QvAyVAgU_K}L|Au<$8
zcCpeftH75hnKc)W(cxW271tR99dN(tTiR`^23KRweAY?P1MgRyo9U%gD9NrWbskp-
zSvi9v&R6x}_fbO`j$}G0jwF2ek*^7h`)W32ujS)dBCEsgJNn=dz6Wpz8LT<@gdA86
z;iNtD@v;#^Fu+(_v40e(<BHJicQb^{%c*bo?K6RN<=f-S$8<nCRr@Qmiy_=D=^RL4
zGKVYLSHq!B7dF$dl+<Ma&bbGx@8ns6z}Jj0kzgu3sw^{2Wi<fpV^XROcK|XszD#Uw
zpu*00>APHOIm?@U&Hvd?D>&}F`3?&c4a6_M`$XfRLj+fu|MyvID4Zu3_N<LZ&*v~1
zuu&oO(67;<UK_}4JHoEmNQH*GxrZJ{lfh8+*zbf)Tky+NxFh99g@maiX}=29fGe`!
zcZZlA+>kYOe3q^YNym4C$7e;bi>Vb)-)aY1PaDOH*1WP(H%NZJtu*|$I4M)>VFxNl
z;_GTmDe!LF<T3WkB#7N*-``EP1GCmJx%awSuv<-!b@~b`h?zfq$^Ok2EN66Ncde+y
zL#>U4E184DLxn$96mMG)a^#4JFH?oA{7mjDN*`lbT;b&6HyfxX`6`zLD#NpMZkO9y
zOAN6d!H6Zo2GZw79i&wi;lOFjj3pIzEZ#T8(8{p}N?6(Hr@!Rj+jD2P*`qudP;YSX
z8@n|;@BA*vTqFgx+#`*@w+Nv2e_aubAS<}?@L6MEg&1TPcil9K62ePir74@g15Ezf
zE55`l4Em2oI5)bJkXLH-{>TP^KFj(gKUaQ8pE^SjUr6{>@fL1RAYfin{Fk2;Cj_^o
z)Ftu><9|=J*{zc-;k0<u>DI%{P@^s2@kCS@nLNVYh~2UPv_F3FL&ZGdlAqdgXqkjA
zkLUb`8Rj6DT{ZSxZj6W<XWHPrHh+Yx+Dg%=8LS(B=-utwK|DPdm)4m>!sh>2UfQdh
z!D)Kr%^Pk03}4ZO&xa#O7`pcx%e^2|SY~hy?z`Q_@IAkAJj|JdMhClBK9-w+v}j@c
zHS!;ZX;9x-K9z(;3O}#U3Yox{p{e@t;R!~gT_>qRg@n6?{cQIhGzQz-`@YCk&oc5^
zwx8ZgCLvq;b87r|BM2>|P|6e+8O`_Ee+I25;c(p>{Xsh;c;pitFsQN0P&~z@9d?w2
z@$Ag&=r0Z70^j?VxNv5SZ2Vdo!XTkf(&U_qks)wgn;sU^W5ueJe<oykVa)SSP01)X
z0I|i5<>xxsaOq0Wc1Rb-hwn~CMp_%d{ru*Rd&fBN&qZn%MMDIwTYh@hw&+8;6Wu<a
zhYPdrD9QSK5<!`5?^aUw>w~&#l8WPXZj@oDNV}wo;>L{!D_Pj|VYZlAr9qPyKd*fD
z+!-N;t}Uk99rE<xlJKAd`zt=oK2u}FazGq+TY5V`+N=k#U$#EjR{$>=Z?SrQS^^_W
zLStiD^&o!Jmg*}!LYPJ{&i^iwM1#q<=1@h4D6xWq<q;tiHhDb5y(opnMocDNr`GZ*
z&ceI8jf51jT90EsGANvSfOO1}4obxC6A@p9ak?l^Gi*S1&GT&%jpgYeHX`sYt5XEy
ze*723dTt$V3{L#GZ-oZ?!}rQ1&xxY0@22@BMFk|My7~Vaq(LiZhudLAaokfWdv%Y1
zBJT7&m3yy?2J5eDw7Tw+z=(f2sKTX$z7HSTV=oOFPxv)=Jd(u!M#6={1(dOOOWB~;
zEDiSQY&?CNUmD}yah~K?P(dpB;`bU!I^-Vp|M)6K1}FX+2V0w|;v0d57e>x>Q2T!3
zBPXvMTAI3AeAuOi^_xWfM6c4}fs0iD<Ni7nzboxl9;=Qf%y%|D9Hv91;BCey4F%ky
zVd}m6u?B|avHUdLp||!9tEBgHDB|8#4`q{PO?+W#@vo^<5AIsVGVF#FaahE$W^hOg
zY131kcE|N0!Et8O!%s@s+cR=sYnF^--<ui*v<-l{b>~@+DrKCXezo!U5Cuc`o779s
z8Nh#99FJ1-R8TJHIosA(+W07zT=(p|AzTlz0mWohbctgsRSR3|cY}#y9*stz#KYrh
zb3hFzrTp!tCv@<PV{G5`uf}ktJzu;T)KTKJ!izLBU37CXn&lid0WSB<Qd>3+^mcR;
zf4N>436K+06*PlDmjSDxry8gzbn`<bzb-Z(8(uhMXb!_KwwACtXyU!ZQjVz$I;hv_
z%$l{+0!E`g{^Mn6qLSf;v3AtPuQ!(N=O4F(T)T0%VG%9-Ar}4bcL4=y{b8@X&lB)c
zLcrA8MhhqMjFbPllaa!e;?xcRt{F^0w;i?cVA_C-aIGe0tO_2=C<O2oEG{h7&_Ys>
z&W%BK4czqE-HXO+1xvdO?T&P4qTActSSLj_RJEp`zU^iOYTKi`r2{oF_w6K;t-1>S
zZFF`iI&TI1HHFb~EgF~^a6w2}O$kFS=ku5zT0sxBCXghqfm=F4{-ux=FyTJ$LC#Vu
z$g7KW54BLo_})a;Tjyj^MI^g<xX=n7R&6`!=B$RC16|_WlaiQ|wqJd3niZTAIC#d~
zK@~swxV~h{6+`zA$Fk0aSiy_x>Ti{XDyS46qDv_hM$z&0A-7GeV8uUccD<Z3{<paK
z?=c}ET(`@)ljR@4$)v21873tx?Jk$xn9YkEPrfY;7Xz5h+n4$cDBv5bJ-$LsoVa+u
zur9zCfO}HR*D^;QkNUmOOnu0P>gLarorM4tn@)A{CCMSjd1Il=YAopL*ZUeG2;h~~
zs4Pj6!7>e*g5!Ej80G)G+w+Yj)W-LRMm~_jjDfzC__NCl-MYp*Q^J;@lul_6>zBZ{
zOd45d&n_~?qN1f9d0W89_Tu-&*5dd@e0BA+!#~E=g6n@?7MsI?1fwhdHKLebA;FbY
zw!rwl_2PaKn>myyZJXxs6G5Rl|B17u3k<(wi%r`-%^)_PrtPaGjC~!+p7(YCF`}*M
z#q3W_!DH9@!Zs2KN&Smgn1vP@qk7i1;R2>$NNaz7P+ADt9~f}IvR`6QZ7t%yhL`|-
zYS+O}aRT_T<3E;#_sfim^F>>?eKv;u0moHQgdfXn_y)t0RvC=?v|1i>V~8{^Sa{LS
zi*Mf;%|3n2gql5H_&FaK0Y3hrRnx|U^ZRyH-fUyWC*}$g?$So^>X%f;1V0ZBW&TT3
z<7UN^Ax>T#mknWweY;3ZI5#%jEc)x@%7)~HYut)FhEO84dHfeUH?nc;8>xT5j!#dN
z#Fiu&z}2zuiLc*sVTx3zEVC>p1}+zMedRR(w}tPaGEcbhn_IEu_xoJvyGeCCBSjyE
zZc$$AzUD&KkGh-%4m>Dio#ZQ{pbxZwi2Z5HTsZCby<h_eA4>1j|9HAs4+0gc-Hmpy
zt(*Jr?uTxE<RgNbrtS40Cs*;Jb00T0J?l})Y7@i+Muq9)UOFh7Hb38Ui3jg((~hAn
z3gMf>spke_>9D%tU%#^#FDj_6o{EwYM(6Q#hcPl8E}mcuH*n)atx4<AryE63&*I5%
z`BoZmazFbL7s8KijnPlMu8X2CO)t48i3S&5^gJIf6hK0iVkz-Y47V)bvnsNu!Py(0
z{u;bOsP&be8*oShb9uaIk~}m>YkSr3=aUe6ZnRGQ!6Ajcy7#qfzEI&nBagUO5edu6
zT5rBDkw$X^HPhgHDr|4n$g;R2jIFy=bPk`9McGU3Did*3NO2$3uzetc0-OSRErIJ$
z;wbaVh7c+Ubuq`%>qIe&zw>~Zi2^Q2Jh8a!Lxto|ee8@CF^mtiG_i74#B(nzTvvUm
zaLzR6{dpG&G!@9-Y8bM{qlV40Gl!^fgeEJ*Um}T5-J5rW+*HO*7u*ykQmF8|`O^MG
z18H0hC*LS<SHX4L=A5p)r9$_fdq&euGMMm@&S9^jhB=|fmoKcHcSGILgP%{!VKz-*
z-`T_J_+OvDQ0`tDYzh0fMbl9pH~2YG=00fPljY2XoUb$}-8a*mo2r0j-$s>Gm9?<K
zBkG5~7aigq208jKD&mr>$AJTf$;iPe8~cq#4<f}zsnVB}kW<4dYvCmYd3O(w7r)Yj
z&aFrOvZX2G;Y0NcWq-BN{z%4DXqG-a+<Pyh_Lj=pKmD=$0NWZbVxz)2Qw(4vS-JOT
zzAAox^E0e}QWx(e@n1W4&k)Y}8IFk*sG+d2sPjE{Dw?i)<o&D32!wJZXVdc3@$qu#
zde?L+`gc8bsunN-;Uld1t5-EJJ1Szu=ouCJPKF4&dzr$;qp#~u1ZZNS)53<Yxm0Y^
zkhectVFs-t=Nws8wa};6U7$RKihq@=9;HZHz~PKE`CAMv%<4-P;ozpCuXe^}fiO!j
z=oRs((j()6BDKJ*VI2&N5>m{mARy$vzje|{GHz20NY4(@Mz#IH9gBwno?N$jvo(#3
z{5rd5XLHEt(N&zLumT{~vaPr#nv88Rn{%==G_huA{_#wh6~IiWteOECP517Ue7#d0
zTafO1t;q^vSWYlvDztEU9ra2ciz=3JXFR3}TZ52Mkxvpy3-_vadK+geA*Sul(lWOO
zOPiSf6PB7d-BKO*$Wj4aFBD|6yI8|wx{l8K^%}Tvm7VGGUm4`QP@U(n-WpPr>>FFC
z>gcVLth|yhfpQnMg{`!#;p(=4fg`MI9^<Fz*n%RMwfveF7p>sm@Rm1~Z&fg_y))9z
zMhK&fpOt^BTI1m7A1@-Jm67GgK7Nr99=zT(Et7f33W6?skmvN2@SdpLl&LBEnh)Bx
zPRU!r{EoV^@nMBEUgi>my-fJ`{Oa_Xw*YnOhgIXY%cJ!5Jde8-{}^+l>_21o0i@HG
z>Ia8qaWW~R=aR+@!|g_UOe-4z8}A*nfSc0Da`<9<*x)!rNUoN9!G-__y-?5Ea7m1K
z6LnhR)-Z$X{daq{XiG>n`!CWZSR8YGB;|+p|7K)%H@E*Sw}8&h>>JBTYkr(+rIYlt
zkI{SfPg~-=In3%-9eTayrP;g8iXBUO83N)Bzdo9pgN{h>soXX1kNvp)Yr)fA#<rL&
z35PRg(7oEDFjXap0f$C7erESE<j!i8+clU1SAn?`pBX<cP`<`SIt(z5?z$*FC1VN`
zwG+O6%)FRrc2S+4G{{J_3e)jAXaW+^c`Ww)+^FHT<%*EwFeB^MC(^n1#$a+i^v2^I
zoS2YIx>p(Sm+^kLr1&m%V_+~%JPqq-$De$si#<oi8Q;;hq4B&Cq^?#89C^ToR6iG;
znm3b-^xh*0ug48xgVFW*^1G~<Dj+45Tt3YZSDUNR*l7r(Mjp=(HL~EAM?Y+Z>Sh_<
zZ0{cZ`CtHw<r@k4HQwvRaX;4`n`eYx-bR}t3?RDa&d&1>n6Y;CDOFQ<k-=owQDE^x
zAKqlx{`ls`jO7hYXLg)lX6(`WwWnNPAL7rQY)VjNMy6A9uDnc4Sa$AXvroxdZv5bV
z5G}=wY8;~MR!+>Q{OG%eiK!m6vNrFZ)nP_IabXLyd=@NY`*a6h)1lV&-IEJ@nQ^g&
z*kvfihDQHZna*yagQ;gNuVFbe9_&3bQ*xUf#~8W>LceG*sNS5hp2C6`YAWKRtvJzf
zr=!&BQ5yW5B2M~Mu^?>uICpu43wQ2+>JuVN1G_(Ov@Qj+;->12M(XW6NS-c#6<17!
zvKF60k|`S=4EP;i+{TAcT3~u~8x^?dDSywav7_6Z>aWjCg6P=%;3V_1E?nymnC+%>
zV8b=9@Zx+S+*@uh{L@nxdM8{|HtgZV#;vXl-9Zw5nH9QYP@@CYo8s4*t?~MnfydT)
z5JBFWj>I8D9k3>~ZVOl8LBmVid9_PKG1^6`kGWhMx+YfZ2djB8blfIlZoN2eG;AAv
zwm}=dtxi5`Im3_lQiVNF%}b!yg9|QULlhtuO=GTx3ZgjEukwx$QW!1dJUf&{flS(|
zuRGrg;V>>}^S+kBC4-(j(!Lb<{C2@$VTgopAN9o5b;;rAZ1)W(f&zp3%p3n{iXeN@
zGcuACu%wCQsIoo<`gW^TmYo$vr|)4)m+Tdh_@~MH(3S$So*9cr7R1m?SWWlP6(w93
zY1g<hf&x5mn#w$rB=Ek;(qoY^Wt^M2sXg(I0ta@p@3gm&!gn7`InH>g;vLZv@>kG?
zTr#M(@X25S^}zyLj~a$;ZZ5w!pbd+B52ghdWpTmxM#jWJ4Xn;z>36Tv0fR8R-6uHZ
z(HqI@19`RZ@Fy=>v3gxFIU6&wGeZHH#-A8zJtE`EKo?~-feJoZTecchDB=f)FZ?bW
zw2|xX0hVcJ8btT`T{!$(39C<5U03MP!Lar#KmO6_kbPoF{-T@;Ch4{Ju<1}S)>p~n
zqPZRn7(Nvf@>IoJlbNM&eo}FGNw$Uv)Q6O1l~1>>sp0jGXss8AXt-V3TRY&T0ra}~
z@OL(<Bk6cZfyOWmH%FWrtkpIGaj7%Gp^F;0m56neH=`pn`-K5Yl`%ZJ5nCoAp@ocw
zCeGpi=;)}{x8K6o6yEUu9{M3k#sV&v<@)t>l-VpMwo78Il1JQKA3RS+pL#8kqFEa5
zTXOvHsmTJKIWtu!to0~`<F1G2{b`u5VE^18iU85uC)lH?+NjPlRUmzniWw9R_LM|`
z>Dl`)tBz~qtZVVmte!4Py}mzt*VYP7UX>vqI;V|dMHb3`YANX4>cabIzzVSH+u5<L
zYaSpFwfKoo3-#|?gyaTUgS^1!<BMGsbW0Z(8k12+ugc8Zvdz}e)Zn{+M4N&FzE)}#
zLMmvGeZ$#L*aqJ3h;=_@O-3$}j|a}L_2b6}@0@x@w}GK;1GH!rEu4x<4@;-WqLxUB
z%%8RKZ5nYt=0DeXw<$|0<$*Z<F|c*96t{ulcKsL2;p(VdIPOTvA>nD--oB6B*3kSw
zSpL6BRZKc#@bAwK9=vszQ$jP{8a6y~QY-aUK|$ufr#bGiU{U?xc&mjquz6l2)qYe$
zwm+GfrFQd-;NJ8Y)mAI$HJmngvQ)%U>eDU}tzkyd(=?%mU@N#bvUD^*NFF)tvx{FU
zeqpRvbLbyigf*X6_VPa}i}O#u{Gnx+6SvOSbO@dYP_4PF%9<~Q6#vPDE4FRKfom__
zN#X$P7JaMktP;2(?^3`Pvp&Ll`bTE2!&=Kuj!ZDRD2hoF@8%O028j-a7|VqKOW5&l
zNvhCZ7$fq|iB~rc6GTitKhtFkz)uf6H|wo=a)TlI%8nA%P8TYQE6rhNg?Fa-Ek2yH
z5#zmWK1w9|)x8-RGlNZ?gALUN-1x~+f)sFUgfNVgkFV4;13r!;avRk+u=p%nw*&t$
zLDSvF#S&-=oBx=7y&S}fYNhXnPiy}nBvy>2;+~kmU6$<1@>M1rxh-|llleFCKL7v#
z|Njh^cR1B;7{~3s*Rl7W$Fb-69+D)|&{P`IqBJB@Xv#=YLh)+IER+@L_e*3oC?g_K
zW@biaUjN_MbKTE#-Ov5~e3DJR9b#HCM}frnkpnN6h}XGM0YMqR=q2Hagw}d<)Wn(z
z{x>^Em@4(YFth5Re<;*q6hAS;S#s-z$-Eij>)Kk&@Vi}fPLtNieXM369cY3NS|$m-
zNTvTGKDN`B_bzWA@-oH0>VmuryC;Z07tKo|^jhfisTOLY^(F}aDs|a7c$8rAd91}j
zHqxCfoV3zSOfci&QG2I#h_Kg;YKxGprw8=6aG!Z>jK77OU!5xNCu(X`?s90orH5%X
zuGvg6hJOD0pc=VeLh}_p?4oBez43E!w)71nC<Q8;>JRl0kAIa2x+gxQ_tn&<rg0e|
zCQ)bllXy3=SRMGPsv(B(^uO?;=_(EJCR-G;w7ZC;ktPZI=se=B|55%3E*hLRd6vbN
zcMxn>G)`oPzaj!;y!o@D4e`=$W+Ug9cEatll?j!-l5l!iFeWWw2;V)+1{9ArB4OEk
z>rg^1F;wDzt?~gCLmp|}%g$d3Ww$=}CxV}d)~#HeH>p&7pnU0GxZ6rZWv%l6Vf~pn
z)%GUq(`5rNmTuXLnY9vSer7v5CYuPqtB*R4J<~@gbH2cgQY+DXm@7fFu$7paRZeK>
z)I%NbwcPrRtwjFKiP4|o?F4hFUVgWT9?m>?@?5&AmB^lvKUNjcNxb-Zq~6Cx7r)~J
zy3_o>66Yl<jC37-5a;7gY}pd6g9B1!Wt;Z35tr(X?w9@QCg!}w?_Bt-jkSGp7E%%I
z1lM9`n%aLqiRg;~xz)1T_!b-UVqo|iv42X@pBC6l+;}M6Anv1uHGf|>KaT7qME;D_
z4h8fR#iG^g){~lG9V$3TIn+foKQi!qk~&CetxoRnkkUkdO4N{l#Sda6A?2*h+;2jC
z&aG1`Km!IUrcYY_bQ2s;lhcl08zm(CX<3ik)L|RZspsYRlNh+8{7W@+oLKL3jEjIe
z9A#h4S6BQZ?$VgcPE!96BW?{j$8yxr`F&Hr@}WLrz%!~hu5*%j`O@>pQ&}~n-<;zR
zwHhEMC7OEM3#N(btdnblZ>d5m^MYy_eTewAkYK`5_Lq>za~tU5QAN{-k%9W4VIp8B
zMZ;x!jyTw}$+|CG1$`+gIX5OoiNl8B>Ar^-iS1r#WE!su-nJi}pKTf^Sp7=6O68V`
z!l=yvYCx60IrKPXFwL-ka(4eiEYH$6#Pcze^S7VL_9!T0Uf5*o$)!nR_yzrKaXt%~
z5Exuim#>6J$FJ_a-Z)LX3e_qOy2wWE@v!K3a#DiU!0QW2Eq@8qn{@)0E^&|?1HonQ
z`V?VY+N|g#G*2W@<{$RI<Ra_kDhl65C}P@iqt)Fji-c6;^8^bWUQ%Mqj>umoijdby
z(KNMQCi;WC4@PwIlQQ28oQ4_|!1TJqIzWz@)c$JUR(w>5+(hw_`sJhm7bC&=gi02&
zSf=I&vycd>_{l(9twkPAd52cryvs(`*|-Myb%~OWa|(T#f$|v7JiVbliGyr~ZXeHg
zadN%IT6-yTc^qvoVG;YnMJCKOgm4N;k|ylciGAYo(0TBD-AxBxvPyBs!Iy#3WLj9_
z!dXdqcuu(py!y*ernl_Bds;z`TyvJN-nLpEz6IMdo&^Yz-IWIpK4(!R<(QbgJ=5ip
zv{h2hTuOx0Kk+3#^R5!9x_&Hta+Lz=HD7<b^i!17{dWGDwwnsspEbH&UR)6^)Xa#O
zHgPhkUrU;*r$&zTeD~LXt_YoboKrggD5PuJ*|=}|8ssR?Aa#A1657Wa_I}zVO&0&@
zYnR-tMLrYt(szth#-iJ~b=x{*$&1X#pJ*oOkkm-SocT5t{5VytTb`gmb~k$66Is+F
zAAI26?R-`ZQHm$lZ(5~9ZfIp#F<DT_^{$kr4<|IRb+ku%u1T5P!7?r9aMqCQ|C%yo
z_gM=eG85i{!K&n!J6S?31vGMMmjJ!uu`b-JYl^>^sFSZ(Q}0c88<7?6?-eioF~HM>
zN|l^N4RTfTt<$d4#$=K9snX;hhOqrD!O>QuMS7f>+f(=5gzTb!-X6_mjLa9CTx@RY
zkX^gjN-U#I$*W7cSL}UF!K<9oykWH-X?0Mi^2Vqs`6;O@VVd0ne=l{L?Cj7d<80@Y
z{3lFF{=~v9+?7_)eEYC*L6J)GHgNl2xn@ebzN%OL7Hf;D+xh8SFR0|H!mi^5=_aJQ
zbzQ${4p0~W>m5bbkR0=RCYkDHOzJBfn!dNd!0eUDMOJr1GN_NtlaHX05o5YiVVd@M
zq`?spxy_I~Q8zgidVosSJ^lH`LTwc$9YbRlR1C=n>suy|&FYZt)tB7Y^{+yDa_m5S
zF_kR#$u${oQztJ`{+y{j<N&ZtKT4ILlIMD3g9me!$dZTa(tl+*VChfn5Z?`blBp+&
zGILald{^EqpOftX*W1nPK@W6EZ@+QFI13@NR>04bInV+2k_mm^1GP!}s=v7*QcUDI
zK94_2G7bm}jGJ`R)+B=k3#wak8i-lFtWyfftDtgGjZddajXdfwMGfGYq%Xc7?zzpq
z3X*qN^e1+xkbC7$k7;~jLFW};_R7Qd;Cm2r<i9yZvgJiVch3?xI#mDUC{@|vPv1%Y
zm)qn>#l6<2h^>N<d@2}et7He+@S3>4Gm<2OcF`f>wlHq0+Q^QDF<{WN%jrm)7@4?8
zWzYI9f_Js2-0utm`C}>5vmC-?kKB({={cfMtgsRC-;R~}sXGwQ&P)0{+#WqCD~1~n
zts}V}(-CtesYM})jZ8{3W$bnm1Lcy;{oPM&L2N0@{Cs1H=+{@eLw6LzYWaKYaxZOg
zZfL)=DBmQ(qk4ANcMUN#i17!>e6vP;pqu6i!=J<u>Gf=8Rut{Nv1bH%t?@Oo>}>N;
zKEZJzXwk7s6y5jZ#&R94kS*@&7S-2Aw-*$1mc1j2v!M>PbupGmDN^-#aC3;BqEY1Z
z=9nnn<eqeM>#;!Ig`8-c1C#VEjx`^~w}@h3odf4KTMM|~KUN>xKTF>_T$ZJ|K@{%t
z2KGvi%&|_Yd;Ou_CHl+(AG1kMQT$Z;u}@fNg_nxk=igZ{Lw)x?cjYUh=-PMaOWtKO
zw6=(G6>nt4ZabOYe{V!#9a)*1&SVC@v-ggLt!795c!=LIiWuzKe9x9%GR2{|rDh*F
zPTXk7NfNp$2CKbs+SUA~5U4e*671r_+mVb%?gHXCpdH&@kzxYV3?|VXu{?15u~sN1
zPaM;Y`JKh4CXh>fEt_h?hkdqfE(<;qcv8?3TG?!j`a4Gpp7ik}jk$5=y*&jl#fBgq
zY>Z=nEr*}Q3gYsr%`|-zNvQKDo?g;2#+%3Qui}vqws0N{149bSJkK^&bs3@7{l2Kx
zC1H%W7V1bHlE#6AM2C)KBlyf3x6zM^pgrLCp3+PiZ2a(H7wKh$etQ2giCv<2;s2GF
zn?nu(k<SKLO^lHBWcvD+9b$-<t+FG6<<Yq6N}r3M5dwmva}IimV{6&(q^BH;crRMH
zcE=PAsTscnLxLr6ERo&z$~Q&Wel2@H_lt&>4v~BJ9#K$PuG6ySl@f{t%Xo!*Xb3or
zS0U|^xc+xcLo!1dDk+c3;)iL-Dhg!IRFcMvjw>Z(vI>6QR0+GuZiJJ<A|4KbGEjX+
z%gec^3L?~=BA{=CHmMXr^=?_@gueOF@ShsK)=^!Q4;n#bRQ!0}HhF|BpQ=krS4U8R
zuXkI%5gb+TmcIY4fN0)=A6>Z`h!9Kg)fF_x{CN1+!4gFj?YvX_sX!BB6Ymr!LX07l
zq4K@_ni49FoxlFh*McOQipx7T6S%v~hwk5@j8eDOOB@fi;VjQyzL;zR8)iw~d3_Za
zIYuwLgy=w_-q!WJvnh-=`x6$ds<2TrqaU!>MayL4?x%caxU95x{mCX(<n1|e=tjRT
zuA4arZ2Dn_+A6+dH&*WRVDiJq0WUoq()reXq0$^Iwfjfp_NwEBp!q~afgX(gF5mVq
zvcU6OX7LBbHK40kedb?-9{xMLxGv|pB~+eehg>Srz#+x2|3X*lB|fmfeqUe(Jt_vz
zuhzuo>Qbr9oqE`3cY^stu{C@pYg5C@G+}ym|BbRrT_oHOXOk|nK~M8Q3#XVC)+una
zT8-;q!yy-src7HXrKT$IxM<;7%?Uo)Zf)?zd&<a0)3G|V&yVJ%g&$Gox^?%pu+=Lj
zkERDqO;-l7ZPS8TK*h<w+L}0dfA2N#tHAQ6^*sw3T3GF|J>Be%I$XMPnP?5bt1GeZ
z?=@-SRh{08<9(`l`Fps}h?@by%WYY{o|;e(Deu(ORzV^6utq+W0jFLYrLj5<h`i~!
z_wA?>2JLR1k6+Eeg%7z+e$pB+oOtjc%0~ejUb3M+&I~O6$c`J_ppFO3j_)eeWFZiK
zG#p^yc~AMS3V$`cO0-I!6_LVFq?yQ7bp|4j*=nRls3NY7rYH;vWT=`qPAvl!*H(8K
z+);sHXTO<Zp(vaTrjH!_2pp4k-aVVBjP8u<au3f4qo{&wvOEs(3^-hDoUDZF7q@hN
z;uVB-$_b5k8-UF916m~y6(PcX{Fc*OUL3sGuu7W;_}N>ZS-evLGi&sx1o*izwea!D
z`(Qez=*RnpF3Q2<%}3pbT^v}LpI}_=vPJ&!bD7zM3@B67;Zg&3<oxhEmu+hcl^azo
z_r#^)yATwqKfwy?<l5tG_id1z;8}h2nj|ijWg?5h3SIMcADQN?p_sTdFfT!YnB;jD
z++{)g(&5{0w^*Y-FiQ7ml{o$eQ#RCjv0&;-*inNbD>R0c$l1k-VXrgmvhEocNa?Vq
z{GnLE(&9|&<xo)w#77kcR<Pjn#g^q;!IlWUduqNhN(3op7m0riR?ruD0#5$2z*^zF
zJHf@m@M!dCb{J)aasNfW?)4UkxY;6<x-5j@<tr1M6>Q+R${Hs{n1eO$)d^!SA+#wt
z%}BjuM{qzJ_d1$6{QS4fS=R`Hzaf_H-oOE;9TvY+GtIEe$0RLiQ2<sM&YLf=b0N*a
zH_=+n40g*WB!BM{z#n(bwK`k5@!;@l8M`!7kf!TZPtWmVFvYbutC9!#>y)-OYnj6K
z_1Y1&*ZlC?ctLo?g%2&4q6TDNm>~L1sD?u>KlXPM|9mF-A@%JBY0ogh(VU&zH`eo`
zDuUy;Y>^<0Io>4(H5p^GC*!t&umEDiDJ7ZpLYS4ix_i#Y7%E2tST2MJK#Eh3b=P}g
zoT}Oz&BSYrDIdeT1LA^6y<w*&zrq7uomLs`&sO&NiT%=TUj!lU+y8ojSqwJE#|k^Q
z8R5&tg&olzLJ+kId@p7pjvb=f-+Z`@VEOe^M0<}Ac-;E$#ax!asNz-Ld6EXh#?gq$
zU}1!$6jsLcQUJHHPn@AN1W^a31a(9(t22_Ly-Ny%YT?p4jx_u_PjfgoB7%^;xzam^
zr9n|Mm*%I?u$99wKBiI>^>^Q_8IF_1i<phGKI4W6%T+hZ%@f0^Gsi~#Hp_$K#MmCC
zCPO?jTmE4ETpaU>x$eRgMOb9%XGy&^1pQ=|bZo5zXq{WNyoHqDH@wwz_iIDMeUpx!
znxQ~+Ut)8UxH1|o!+M0O4G~o9KYh(o3b((+6g^N^!7%&wio@RxQQkaWYI|E6n+`aw
zd&E#hn`X`0LUtOYf7o8GW|hT-3&~wN2h>3LF-R9%8dQ80%+H3);bBEx&BP6L9L^Mb
z7<-+D{0xa>rb-HUHgx{n-!ct^+L}6a4A9`_pWdwRt%wbeMWy`*G@+%UD}QvC5l)y{
zh<>(L!Y;XC!FPh%2-%=d-8f)`Cx1&HFKZ}cm18#BZe1PBxy*WaL>R;S=;j}lLMjM4
z&2X$W(}mT8(wbp=6TBeF+M)#&@CF|8E!Wmt`M>`xzKNM4-XNfKs8<!Nb7kW6B|TgX
zed*@9XbRKsl<QOVYS@$Vn%4b9A0m0f@$s`}5ZPQxAI?<ARgGuQ6%`ENx*;Q7fYSop
z;;;6dKc|6_x0B~Ob{XLMNuO8js+JJm{lJ^qS`$T)KQH(0G{B3<;PBG5Rxo!ISAWu{
zi3RV<JISI3&`Y7R`uJNzu(fvRzcX4epJ}MO6Q&OhpO+4olWicH->~e}uZ24z{YRzJ
z^xz#(TlKxn7SD4Q7e|e?p`o%NJtkBa()TXwXw<Io>dnVH7I$i6QLO56s+11Sw}s`a
zdIE?ac;~!B8;Ab=ek2&Eg^Arqa!%C&=bo8gsngd+z{P~?PFWf_ZDcL;Q-y)ewibMO
zZCc>fJrR*ps)jQ2m=m#w87PieCw9q03#Js~<p(7y`2CcPdNzrHV=SILoTZu=p3FS;
z__-3s_XrIiEMnlnmcL&`XEbpCluG5Jl^hYi-?E+UH3MAwx9)qa<nR2Mj;yu+$zaM(
zBR2Ip11u%aQ+4Fj(f3q4tXW7Bt}U(167dXtacaqt7F9#~4DIvaCo%kcs=xcr5eANb
zNihAmr~<3C1)ges!l3LAO+8Cv;NP$KHzi%lC|erN`<W+zNBT=IrN@E!-czH4q!Nn!
zf=pMh=Rs7=&Y#6;KycYY=g?zC%sy;p3VFzZab1D?Tit<AcHGVD6%<evW8|Kd$_h2j
z&l3a_5Nl$v{GLk=zqFo8Mp-lCq<`Jc?u~SKgsEvq@X8=(pV-LQhkx`de6!+C4{V_|
zp}KHIM+!BMFZ`NPSfr;}m-0RxwL!eNq2Ilu6mYitRGeQwPgl&zl8>{tK|@iz$D<G8
z@U|ToJZd{fcOR9wpd4k5yiqN?#EoJQ4V(DI-8f4hR+$$z`EG^c+W#8Jc@g+k9I}ZS
zouzL&*Z1h4krgZk#YO9?gz>a*v+C}!IlAed5E0ENO9XCRv+(D+5TZgpT;UIxr}ucz
zJG~jOSm8-t4(E%4F!{D^=X!F1-mGTFalpv}zdxMjQ~l15oRQ;y3AZJ>Pyo+Oqi5!r
z-KQTBd4><Hj6%^2`DHq?%U>}l=Gg8?9yqs#7kb%AJ|4H2z;!4rG<n4%^hDHhf4lL(
zDb(xy&unG{WVv~6m@$RydI787QQT-;-=emvlLaXuaV!UYOkrmJ^y~9EE-Vl3p372Y
z!?wO${lPvHNGav_zPQZ=lYD#Hd>A{bIE$Tn512r0L2cpTPA>eBS$v;2&4I?9xk)~Q
z#wd8;wL4@T7k2IYT-FrIg&u*_J$FtRV>q4b<J|*X;Jae>uS=B&I~mDs=l&U?BfCH^
zI*kjt5)}@4KY6h!DtVp#O(RsBM4sQo%Z&k9w$if%KgOD~RVf-qcsR2Av|&6q-mI$K
zR#+;Cw5P3_x^HP{Qxp65+JOgwWzo5U!$M&D-qiNSYlY`aZ`bum@xpZ-jdugT2v+6N
z7ghLZD32Ov`y|4L@jU(Xbh{P5%gWlE^U@HXns1maQTg$+&TD68v>1Y=9w$`#8p79b
zi;b4Q05)DzPMjDMN0P74odHcl+??UCbN(TS7Haqn$(8v!q4xTE#&0TyUp-N;c`1aF
zu_c2HCMmpV*_@qSM8)YxtdBJlgptdc6)Nyt8i{U>b<ZQHsL1XbXI<e9%Pa7V3YCTb
z7v+VdLsVSt@A6TM7sbv!c|3}~@=)KfT6NC`DiFth(V<ujJ8TE-Oso}gO69Dj!fGlm
z{oST!IKJXR8<|2KHz;AY*7YZ44HX4{Ie$kmDEL*lvHXg^GIj-PNj=?0MJdlo>!xf;
z4F3w?amY|XeAl?MS0EMAXDsRN2GaPkPhh|MfGU2rZrt3HO@(JIg`4BO3|yq{|LrkS
z2h-u#-n|o4)E@lMekx23mpklZH-~GWCj9`Pm5U+%<Z8G-bX5SUb|g@<M-$!LH+k|2
zLn!X<2%1Vz#8CT$@@H%9m3l7<lQRvsc(Pi(Z!6(^@jJ`=u{uzX`?fWAoQAVX$Hd3(
zuJnDNraP`f7x(73&5x~k)6M+%Vh#^fu+zRI=#q#&3@LmgelaV4TDQ|B?5QeJXmWSh
zbPN!k++C@2-30M1<wC+Q)le09F6Jx$%DW3roYqS*1zYJo-{*unhFC<4%YCR&CW{Vx
zzBhx+SC&6PuU7meI!84zhl&{{>58pF7I?($b!9kH6InIBIg&M0oN!Tdvp8Uh!g|#?
z>5E#h`IsDkuat@}5tgb?E3J_ER3z!Atu`8t44udbrDAtqU*A7<8>Gp69XDy$#wMwm
zi9M236j`NS+IPtoZ@pTTj=1XJ)`{HQcdQ1uVVAeltAUP>qh|Y4;&ou_df8quL=Ty+
zn}=;L0$~U491+RYf!|xLQ=hYSkbGv5e-AGMYh(3n&fL+#5+h>h&|NKfp0wyALKx__
zY7<d*(!rSUlIqEg8YtwsJ$AZ-0kfiNTZ4LSq^9xv-WyXzbHnGPLIpcWjZE<#lh?-G
zy(0^>i^{NGwU>8vjUA$gQ@kx4wNP@{@^q=JBHU9alMA=mp*-Q|A3bMHNH4EHvuP!F
zOdMNk(%tM}ED=}pfvSOb{P)iBZ=j%IyU1}(BRg=@{i|h`)zB?*Y;DaxQH%u}QRG?e
zkms=9(4t%wi?1ztC~pO!>N2-I=Pd)q8IN5APO3mUR{Hm$bZ)FFa;upMV8APT@-M5Z
zGESfL8m>6S2Kw$FUK7d;y!7+vY51xLZ~NEZY!sQG$jo^Q)xaQIoMxf60%SW3lH#rB
z=%X&Hvo#K`m{#NXR<|-)SRBbZB~>&@=Xx|WbcqcpH`#xv`mi)acDys&!#+k==1;wv
z%AiBE;K=9qmXa{_y8L0&$N)Vug3#I>WQ%RnH_H<YCGd4^ib}=DUvz%k`!yp4HaKto
z>9eGp7~0;sb-&%-Lobdrp9uM54T*x^H&pJ5;2j(7RkuSoJ<@q=M~{&;#BUUC&gKxt
z!zg!Gl}+7r^Cs!q#6T;A#<{q6S_$Hhz@eFaYkTNxmmS}ZzqLfnq@nnl;+4F}pZKA$
z^poE2xRlK&YKi}fqB{`G1BsOHTNYRK(K|wm-~9EqfNM7YlkuxuFwNG9<7FMBFSm<I
zXRr8+?(?xnre8RaFyhh7r7%nvSW>(#E@zIkiiaDTJ=n3$xiJ3v)iJty@%CE95HolQ
z_IbxEupwh-%}$y43Hl|Tk7o*cO%Xet^uc?@-|ma2%wNAWN$+U+S5@L>ilCA2Z;pZm
zR<8ZuhQp`ng?n>qDWnNTBs48V?lPnIU_h8*+Fv>==PSS0MkeST>A5Q<$&595UVV4J
z&e1tsla-RQjgisq_%MlN!g+DQ(DSN`bjNL3Dj6EaSQ{;VmiGn|er>vO$T0FB{j65U
zL~FVczV;WmFfK4**XRSEfon|Y^Nonm(lx@?^zDIuF-*u0DZMEEjTsK2$LmrGXc(z~
z=BBf9esv7%GxrrAG}PMHY0IENht^}YN01qzKQ`P`EoTGgT>E>8&xYXEKjX4Bm>Flx
zBA0D8a6o%gFU|6xAud}kC*^Xmz{r#HXd)9A&IG1XDwz!7`Zg}i;~5KXocX-(;74wB
zG`TLfrckl1s$u-$DOPL}Cm4dSd7*9WZ19Ldg<Ij78i}oJ*x}m0Q|}8ul#`F|ef8M@
z-+ioCCv0a&*njSaYq*54%O#wetZRUud}Aj!1alzew}j<=TVZrBCz{0G(ua22!(%T<
zPJ9uwo>Y$(LBFr-$Uzo;c*u7hIi<-BMy<JA%#0{#yxAv2L-p`q%4LCTg*<r7Y;lD1
zyg2wz7FU<>>f!vS?*j@)_|OaG+;_?pSl)j&o&Q7^gV~%RX=?;<ImI|(ad3q*U#E7&
zZ`6h0lOMS)T0-bG+N)8~B#qq2F2X^0Wv{Efx0_upjI_S#4z^xd>{uV+Jp4-smFx0i
z<<E-%w>qqj$|@j3U!_{8K?fff?S}I|h$5wwaaZ!SBHE0~N0OR#kdztWCuk{-jOqMs
z=UJ37+erEE+pG>M-fiXyd@BLPPPSVvJ5}H|IZThW(M6TN<{;BiNzDFp?(DBt#l;vx
zb2MESamnEs#|@=%Kw3g}X0<x(1?I=ETk9dEw%$#ZB8wPz*Lv#~4ODVod9{m4ANx8R
zFOJB_W7I{J>UB~JM$dLJr_Ji)y>C{DuYw}dRC4UfC3Mi<E%R}^I2H0TF~`{HN;pPw
zmEkDY#ezP2Yx@T(t_SUwGC8UY{=e-DM!WP^_~z-9c7`FmGdNPpSMtvKcFnl+hyfCd
zyTVnT(BSPk@F}886|{#=;@NprG){}nx7HYei!!(_K~Wu}O&`veyBnfb#P*G?kO>Te
zukHTsxzcwF`>5`Ue{u=eJ^CDE3dMVm_piIFiMws7@0wQTn+24UChX?e7tTK2LTKUk
zHa_1wXK6?-KD(hO(*pkk0096043~E}m2ViwiL&>>vBxow&2en+jZ{dHsLX~Gl2Qu&
zkZ2eQMI}^3Nkc|u<lOd5NJNp4RLW`~@jL%M*Lz*h`>gNh^L1}rZNAw}g)S+6+20ZR
z;G))elXZ_7oU4+4W!9hpEE6mvpRDykR<T1rMBW01UOP^bFKI%0z4p}k4n5$`xvMGh
z-V(GPRa{(E*8+p1ce#Fu=|K@~|6{NLND*n_xqDFy%5%;9vz2s#Tv?Je%4r2RKYjbQ
zxl9ZAt|kSC{n3KREkFF+o?F32Csi}^OfB%*m))Q1paG1ZmPu0%*6=hbyIj{&3pgH;
zV%5CWz|I!6{TS9zw{Io=>}^eW@!Hh7)?OKcl|I!t3EIHJ1HX@}wrIeEUncaQT8dz5
z#^$MRX#=O^R5I+JQ$gtl|3_O}S*ZEL@zTcL23QmaAIyZS!+`MKU%#Wt(61A{FVe^c
zND7f;CowhnJN6-lsw)CqUQ=gZa@oM-X&z6#t19rk&RoG^h!^U;Uteu)v<9u<7#_EE
z%3x?qSDZ*?hr!b`pnJp`VhwDb{5eE{)Ukc~1>Ap$^j@)@34GRYQt11l-)jY!xzDFt
zSNVfT4YLZKyln-t$rlg31bNW6bWN6P?<Y7oSp8q<TETc#&r#VEGN5bNSmM<Gl;KAa
zpX#m#un*PnxO7nx!n|8`X#DRPwUZY&*>3_ke`2FeX{R`FXR&dPQzjUVlID^}3JG|2
zY_Gkfr6@QkiI@48d}Bn_Q$Fo&vV=<+4>tJ^3xjv$a{nFbG{edyFt~Tp0(Pf-!@^=g
z*y3K0sPf+o<FZj4IYY<-JocwQ)br;9n()%c>gpLrd*YSPJXYpl`po;y$8IhV{Nwe|
zB6@~V*4nw^c+w2y>Q^4QU0nxhT#~n<+ol=RqpQ`{Wu{=hb@QH(GBz+1>}r2N`oVZ7
z(z>DKj|r$1S>4@FVTCd_*7TEHQw-8k-Lu=ROkkUD@%&QNKO#IA^?5qJFcdWJRt%;X
z!@XBS_iC#aiIj~LrNWb+86Tf{l>Pc-1V#Cjzo$)p6F!&fVOIVVBY#u<<y~L|x-Px<
zf2qwA_fE<E<mw+~xE#CR!njF?%A7Sufl)I=$e8EB{5vCz^RbiDpV{b;rp7b;!fT2c
z4mj|;NnwaF+urc~>LEio60tQ(WA`K>MN0Qkf&s>~PTI8_12oXCY3JBFJ5H36`0nQ1
zd&BVAwnnYNo(7+J-7d1Tj1n1a@mw;VJ&bq$NlBj>2GHE|?sE3xFk#j?R4i4}$uKtK
zZ2Vws0N>AkR81`%B#dvubsghYhWg58BB5L#Dk?g*%8T|Bw*sPWZn0`$C^)&;Hyi4M
zy3V67o}9gec51sp=vfA1d;+q<EA-&b3p>k&@NU9OZ<?I8=NaQzm-W<H(1ZH+N?oy%
zPNMq2aBlLy$Bf6$B{@B9y72Vpj(1gB?L>!H1?75tF5~IvZ7~~n>OywvJ>~t5EyVq)
zu5$vz7Z|w>XQ(&2bzqNNIk&>!Mj~Ka!}_KhaYPk0yd`@<8+1j?SJjjnh{uYL`{2Ku
zgv9<WHHVb7p=Z-{!ujWQgfT@+)&6-QQE~ds`42m^pt5SZvFUy-as0FD*4CUSM1ad~
z;aAMuS$NDkR4|Q%CqvAJ&-5vgJ>-@x`cebl6wb%Kk3^!sD~2S2m4uq-{Ox1`4VZpS
zCiOca@wR2_>K1DTk;{D<#dc8P`aa&pi@T6Wb~O~PoUA39Oae<1^VDHe(58RevygcD
z(q!GVWdq@Lq1LkFry8ViEw4Tmt|cOtJ=?pBnh2+L90t$r)j)OR=MA^YT7tK2$^4*E
zD{+2rpqFmGDj0`U*!QN^5soS3z?WaziJzAW<HgujVV!zwdd0PRBD%oe$+5kYc(e2~
z+VOx2{EK&<J@~4DV0$uG1#?}*bg{s?icV#SmMNbQGHN2ywkNq6-RvRsdx}RbOqJpC
zrM*^#-OWT&kng<n(Ox1!K4z@8PzmOI%>RwwZYAc}T-_c9^$`+&A`==iN?;WDq0X$R
zoe;U*m)CLqEfIZU&-lJ86cA1~YX3a@lBh4JN-Fw0NQga%TI(V}fuOo07fx7o5q{e$
zYrC%x5pqjDrDGQrVU~T*9-)G6BD2WhXQ{;qaoeTmDXX9&D9$YXm7~8V=JiPGs=XhH
zXS2)hndu7f>+tB?(Ai$%xzxa5=9MvmqNR|TC942jv5txd-}e!$n~G(IVm}e4+)rE=
z@5_VHnQJNof8P?%wRWY!-Ot40%J!^0Q+Z$?jDBM4`i_W|*--j`{VUP1Rcnpn4LR6Q
z?z^}5#}JXcJ*??*?i3MZ?Idu#Sr&E%^`@2{7$It&_TNssFii+}d%GGg$-rRy`V%`=
zKN4C0tc{I)W(lcuTXsJK8Q57h`tMfV7;%mFhD)x>JTa0Js3>?$8tm7jxBJsiMEc>2
zg-LS12$%CB33e4ypmKVqW$?piB6WAm&+}XV5UIb#eCX?>K-fCtji~KcVmSYZdt>z?
z5i+q%=5?0@xBin^52mIFHBpODmBY(Ki1rs7(Q*l>Jmr0XWq6u+)Vc2Q*1%Pw<-#+?
zr{WSYxu$3(FJ+cs%zypt<;@B&N`?GF&X8dvtA9|B&pa``$g*+LkPU46o*Mo9B@V?k
znE^R_ei8Yv%Rh!&t%Y>H>Iu>@agh4S+EjSs4>1{8zpLvU2UsMYPW`+j2A!W11Pw?_
zgxlMlge5OGv@}JSHzkWfO6{{bO3yN}?)MSnvbVfoE8jS<M^_Ad>GDtIhE|C$b!qY~
z^8#?cZt&fkkD{P2rv0KNhZV+Bv-i9&5rWI>c-CURC|u)-&i9OB1Ky9!_1qAF){=v!
zUeTg3&PxyTNLvf>p_}auDnucA2VM6;h$w{HDj(W3!U3kKGLr6sWVoXw(UK7-3aK@{
zzLJNzVZxPSv9~}HDkH9sDOQQXr>ZMiM%H}5r+n2p<FpKzo;#;qBqIiadHiPOdV;XN
zmbFQEn>-v@T^yAw7lVBfPd52Y34s|K@7y%EB3vWg&DoM94hhZ9)Sg}uVCgCR`gMu|
z3JOJo+Qnq}ctnfk+7D4^o;pzAzo-n_$H%p`btNH0^Qn-g1sMbjj7fdEYOtx8`|B}T
zX(%r|{`XeBB+!H^B-PTWU~Z|ljXy;e{sxc5ddA5>F#XxbEs|Pr>BaB85uNgIraY%^
z7nASDzDls3tk;184wqvij}_t61xHWXdj<F~BJxh$S`Q8cSeu<%Qi8No2Jg-?->c&*
zp-S_+`Y>95vE+5NDtvxDb}Y+J8F&|iasxPMuu#RCo6W8P-Je2kk2tEr?rRrP8Loz)
zG#geeJfsbCq*S^6HtMjd_tJy=3>`d$j(U0&=)qLIOLvTg1~`VY++Ybef;RtMZJX3-
z5W9cKBt=IHbU(`-;8r$<r9cV0<XJjw@34*h%%uZ1dyIU$gN?!bN10XeoC&;#?h0uy
zUD(}du_J%IF$7f0m!2hCKva^>2RhRW=X5#lrd~DzpEE^|vM2zeS)qs6nDg(LlN2o3
zPKWXjhg5bwvI23-cIVYK`fy*p#*Z_R2D?9#eA*>!;Hc-ts3XeykY6LoHEXL6t}h~Q
z^}4KwrEwJjUrv4aZ9=L42Rg9u?svC`qb($cHmn}FuLrfwBX1=l)nV<nTJ7*<Td1((
zl<4KtgLD^C3@L>Io#%gO*L!UM=|t&*WMf_6ejVEukt_wLtT)K}9p3<7A3W_U_0xvl
z_fY+|SrF3VB6$SuHo)>sbX&fVCZy#Fo}(5m6Lj{~?ZT6`(7(eY>(K>uI9)4fcuA$3
z@%7`T()B*JAXv;=%{i(9yvGh4YmHcCXgvwwR;ykQ9%?ObNA#2+BDc0x@gg@y&nESz
zbFT+?jrzyC;uT;=w6#k?fDm?a7dZ=Tw*h^O2sN0Jfv7D(1J6&8@W!`ID(N?^VXoz|
zOftI!{GDgL7?ml8Q@fPu?`N&xEsM*QEPoQz<QAPsVke`<pP}4RM=O{f`XhIjA_&9f
zAFUlekkOINKQg=wU@895$<9NZz_y~J7`;^jyKG*$Tu=dM;9yteTh9uiO)dfx$0YE+
ziO@OajRYjy(*(&Wzld`^zhk5KOW^Xo>n*QcEurf$|7HmsBfg9U3u_unpiIsX`kb_Y
znYN6}lCSd^(=l(49sWy3E?wDQ^M&S6Ca!g8oO_(nwANw2RuviTZ9LlAznOu5Lw(VW
z;5kOF!KlLi(`4K#>(t|5W(E(~vprH578#_b2l}<nWX#@Tdy(&|Dcmpqss7lD1tTOh
zC1hx1eA&h;Joe87+B=>MuJvcbe_2sp->GDD9*XFFbJzq(RmbXXQP<&%?U8+#jma2u
zoYbKB#Ta5H(l4!h#EDyjJ6v<U$vE&%!_4rIF;v~Q>iqbR8<nffp7Q6AaiP%R{_Q_T
zkYHwIyiDQ4TYj07?tjR5XS^X^KG6s&zxPR6sSDs`zrEDb00~@8T6`O?Vgz!HJtm_G
zg1G0kr3(9k1S)4e+}Pbp2MgWjp?+aP$R|>{oBO6DO5NMY%@#_BquWJp2JaR|?f%%c
zo<36e+0f9=N{tTO4e<-(wjwA@5&IToER6%KEkbo;hLApU(QKy%39ZZmk6uxi!O<D{
z!k2dqK{RD5o?Ao|XOo<(SoCF)`prc4#c@Lr3v-N^SrNtYg0puko#b#Z@A|I=dqc?6
zJkDJ{BZfO;t)?BU<uPu{_ohEoL#T=A*;4gI9HU!U70DCwxIJ@2uDPfo1g<+%C;N?z
zIri%WC({%#topBjE4LvW%GXdS`6Yohk7f1CHY(!cn8&F;=D1Ai-^pbzDb(`iZLwsd
zV7jDapS!prsQN!rHd2$u=D3Hm+zk{I*K@V{PuCC}+KrsnJIUZiZl`gV3raZ8@g(7u
zn<3;5Txfm}Ba1Evm)@{%QAWY_S<XWVhCpH8dn2Pt4jX^B?JW^j!2;!|GKrVW_4bG@
zdq>IRWv;7U8Lw3^YQI7FpbQ-z?G*X)R6zl|3h$_1x~Ph>X+LWnBI(f6I^SB|q=318
znjI7iH5~rAaADs!I-KAA!AJU#A`&Aa>dC`uDErWATkioQFe@AHuok3Xkp4CIjv#fc
zG4`ojoi&1_7ZYoDKcQf9DXVwoggRyxyYqj&U<~dXDgOc-mGHdC!akZU6*Ib>{?pMg
zf#rEAQT0(JtSPveY;~53?=nbx|Mi)G(qNy1NsuyTmOg!Nn@7dwl{huQ1XC!k-@1b`
zrHpa4%>%|+R8-r{-TchT3>N<mWCeJtVC0{O(4inIs<M4}Kel8B{HiD7?^LN^VgBm2
z-(pm}r1|BaQHeQ}J1Oo-<xs`DZK3){uc~8T{`iuruLYd{5}--9R7L69<+X7$YPdGh
zd0vvw68Hi=1b%y|;%Ob@)u&2oSe9x2FRjoLcK_&=DcrA$c5x2J-x{f+Lg`v(H#!0M
zeWB*jc2%5Q{Z%)ht%80$X<iw{1X$fWKD9_y#RtAIYp)6@<3{&|Bu*ZH<bg9nVqa9S
zRpTIE@(2Z~Q{g37^Z~Njqvk0oDkzs%q?3405vd-}WFxi!Gw&@rIu%s#E04u>m%|EJ
zRwDK%%Nrm`)I8kumNEukyZmLlu{>5qF$N6x0Z?zbT2ApP<9ox`QMF`QWXv4zY4!x*
zx|*}5I7kWklIG`UhovxVS5dq0W`Jh_AH@EvqoBREq>gvH1adAO;Adz4k7%{=X;%RX
znk?j<(Ha*=!8u#+0s(+n8K-di4n@5F73i0>#BeP97oSQ80SP~JLl&|W(143wZmy7o
z6YblITMrR%dW_rKdQ2Yko2-H4E`svizqWX=5fI{#dH0m2JT7k4+I!eS7`G`_DGsGt
z!t(C^|IYuC#eojod2pK$YWC|jDoa{IhM^+9yD5WTmT2O4G6d0N(@51|wgpUg)QGWq
zNaMQq>UIQ&Am-TRjUAS?fE`6k!@=rOC|xKPDPb*uJj>~wlx%Yle>`U;$|s3ctmMKA
zwfuN9`-cvnlsUBes&@KtNZ|TE*R;2t<3|^v;)|l!&EUC-JI@vgGMdoW>upY8j#sN?
zu#wHcGtZMH%0?V_a?g%5HuK|RQpnBdYo?&<sM2qKP7Fm%e(2<y2%yGz+%j3p6uM8n
z{FnYw6z^AP*ZI8@!0s{mdHY)?aOioI(;in*T#gy5xwTyo?`#{T$EcaWv5(QKTR)Pp
z&2u`0txFKQ+!RKn%8Vf@kA;09j)dgQ>cn(!Axzlz=3|JBF=S4W1%?R{nn!&)=CLY-
zsq4JB2KtP^v*hGVq!0<643t!}p9o{hJ-(|shmAm(r#8xYQ3N~heu)@9E`p6&PohP5
zj3B4VOQi3&2-*cXHTG>HA$|FbU;G0)OeP0CPT?Y9!ib!}K`l|Nf4IfV)rAf__C<^c
z>XGnlsOosSq8R$>RfTr18p8ewYQ)?j<~=wokEhhcaZ=@|hIfe}tV}8!4Of%!NVxP`
z8-k3YY*4f>keSbVa$Do&MUnIJ8V~XT2~0TP{%4zpA-E}$dCIPeVlnNWqx>yNjFj>n
zFPNi&%;sDVRpxwp0Zj`5U!~CIwc*5gEe*CLbOt|Rh~asq+2jdZ8GIb_E<5`=4Peuo
z4GKrZaZw^O(WyihwGwxbf+A=@kDt`HG9V*g>w~g1ae35bmp{McOM?e)H>|oiCGg$V
z(0$EAOfJ0BxbtTh4g53Gq9SG_a7Al7i&~Kap048Jm2;;-pM3#m*B40~OjLOKHcAmk
zv$lTG^P_?3JBvlrpHdjW)9YBigMz23)BJu$(O~(?BkE6n88kU*LES)8!sZ(N7PWjD
z1RS0H_uE(&xxNPGmJ2ImK%&F+g#jA;blBwa^N1W~73PLE%_t*{zFDY7+7Q<J-YCd*
zm&e}!GMqcwRZzp@ew16VAqaX7jQn6#K&kc8ckbR&#Y;n@K^5JG&>h}KmVc;#elK0L
zngZ3(xZe5;c|DU0!n7+D?#wslv}s;lT^*yH+l=-$(V-}><;OB71uxjOuMg{0M=?%5
zU#*=+5UdoNH(5@>&o!yrh5f0hoA3Po!2<LCsK;M6@liqvg*8dWqf~TwD{?NUz!>^Y
zZQgQZ4KvT9j{Y__)4(H*d4GuACU7*1t9dX>8O1EFbKeWrz!xbu+cr{6VMl2HOs<9s
z9v`hLynRXohrGUVPfVFYdXAIdXpsuKjCI8GdurhED@iFYE6m^t@1vKMlB(!k9-cSJ
zuYqH;S!Xw%Glv(!mNFrssyKJ**zc2<smQ8f6YRXj0#02Ha7?XGMRN1d?$ck@@xx$c
ze*-iBvv+nxuzga+6b{MKU1I9^FXxTxIkbeP0c|mZ->O)^b-8{@QVp*}{_=jlmw@58
z*i6MK=Kd-TuB81_!MBn6yS~p5An;#8U{sST=Cy7(GSHxmJM+nFsLX5lEbQuP{#jK_
zI3F~t5vGKW)0g@WF>`y@&J3c6$&3E?%|1uuC>VB5>)_3^03zpVRyICko~s$w->6f-
z^jryr<V*l^=t2KBEfq8uYJBbBFOQlxSRNe81z617uC|n-jMgkCH@v6GVr0aTgKgQ&
zJYS4STNqQq{Z}`({dp#Z*Ld|g&RhhLID9lkma2qL#iiF}F}?TsXv)rl5P)+v)TTi{
z3i8YF3Xp8Yk^3^c?_nm7NCy+G)3O!unxnD2gNG=-@}y=eDgwC0W%-}&RzRz@a@-5|
zMey+Bt-r~`Og`GK>Qt^(z(U>1!cm$q-aEy!<~5TG0<?L#DRX)3(YG%&UJ%3=gWvS)
z=PV)c#i$PZJd<0wZ+c#R62NNnLYXxome82rc18FU)BoITE56(C;|oEbZvj&la3JsU
z8Glh}^eA;Nz0bynYvKdNGWS^k{e&xbZG$9U%XltrE5nP4qeScUTXV2GFuS6iD1nT$
zZ*ng$@ZeQ{=i)1l=I~ABNjN=#j0ucey-}7tXn5|o>FGK%$aB1XV_>g1{^eI-Uu(pJ
zcG)_S(Z*)LeL&IfL8utU?`iP38_0ui;kA@`u_+wj^!+%ID~gpY;cf@|c+l3Tdf1w3
z3Ng*$w6L!vyk5a#BoM-jYp)1B;<{@Blg$TcVw*{L?Xd`rZpw#hq;nsBs+hq3d*ApR
zn?+Flu~de+20vPF6nW)w-xwO5g8obL5Wyn{XN9eqTzkGD<YkhcF|;{;vNPZm!5?LG
zxg<+L+`e1qWLLEj#Na)a>m9;qmAuAW;=3SH1Jx4`Z8idtPnu(*_k?lpmjEsM2SOON
zRd8p)2p!aV%r|gl3S(@IaPfyz!g%+LY=1*I9dr);4H~{JjFU7?{x0VH4S(;S7bepo
zqal!AkRgnhWXx_`FxMfF@=oeQ71OK3mM&6fg^}avf3zS+QT$uL#TK)lnOD<0m0lW&
z;8L%kUbT-HO6f)qx-otG96kJNVVVg3t&KgD5i5=ZJISpr?KH?Q5&0U&N<y0}E53mh
z%zoFt+GrO~1Lq_onm&_*7eMntE~_N=U0&C;a|@FTyxUgOBt=nj!yVI0o>E8-c-I&s
zMT4+yT1}}9qS()(x_3{TG@fcaa@%{>0JO!~J!H;^VT~V;n7D&1`la&ZUhOh~oesY5
z6<x&9*yh}(fMGeDD!X-Otik|Fc{@YT8IkeJ{^a!GT6r|cb$P<^$N<jVOzxG`k-&pk
zC9@`50e3#Kc>U&~0Z5&+GrMXciPFIj#rvZbv86Tb7q!v=8gJ2+liZ|`&~f9i^`~Id
zy~LPruMJ@C(%=cVv(oswCzii&hZ4rBCmvb(YXBRbU)>_qD1$+IK2C*p%1FBSJZ6Id
z4Vp-pe~u)FT$T3xe&#BelYD0Vbtcz5t*OZZCh}+<!F63%OBLISUzC^j(7@q*DP!`x
zJPKS}h|eXfp@CNXMon`=Smd7#iodIXa{@PoT9(vsqmJ{gz0VAxgzLPFudgEd3!M#B
zdZmtg#<~3inY;*bF{sK`q~Oi3SJ*IxisHKZc`KuI*eFIm%+2)LNA_K%R;C(QBop=3
zC(Q^#MD#nfGL=wMZgjI)lLk`Hn$9~o8-r`T!3l!db4vP;a2054Vq|tm>Sq}fppIV=
zFkDo|(qO4Q*A8pq$)T`@vR@`J)8OUYbCtQy=nYkr7)@r6T(C%aV+xb{kJ1<_s+f4B
zAl-MbCKk*%{;gngLCU=JQbDdNhJ7w~D;Lm2(n!O^SEdL0&k#}DIn~f`p9kN{c@2~{
zF>wrww17{}2cCS`u7<WvIrekyR2({Z%PG#q5;P|a?K;n@;fnOSRD)r44878wW-LX(
z9j7gQrq|WbVS=yUsa_4;miUjZ>mp!LO6c1BMKw$ed$QqX46}c%gn7=>0hB(yqNeUs
zLpvk#`tR~8$e-OJ+!_Y(tzjMI43jHg;__ES?<=A0k5fi&4*+Zm>lC@mn0;h(q04C%
z3f}AfllP+wfW<CuBTZiw1AQHCW!zN2<fcn!1111GF-N_Uxj)U7O^<D5neH`g-!A(d
zz*b7W>*Hr-?2Oj*mUWfEMXhVvFF!GTo<7y&s-ldtIx5pgG9*!eZ{LRGZh$wM6@5!?
zN~oQL-wb%j*d`nl`}_&O?ykMhn<6P_pl|<1rb-mMe6Nf*od@`t|LaO-jw0%MJeOiC
z5<&N`rz@>oncwq&_oBQ|z-!0$21*VIVW)qFOpz2*$0S!YYv0S`Ove`+Z)ZW2Szes@
z@SK2w8*jN!u*f4xeI4Il9)7e5mhh?4BS4{A_VzPZS#(Tyy_h}CgTw0FW5#zZ;o5lL
zGpLrvxKH5@5w_fDANTy$E@4YJ6j#g5Z!Cqwp31wN*}0HywqvG?dA>g~vz^~FdrtPO
z!p9&*PE@2>p5>Y}2T%1|T93oY7`DAmTP1@79Xr(7wYHhVGbVUHS&Jj5&q$A%8wXZD
z3+dK;VFv2;Z>i2|Vz{S`zCq5N0~0LXNVKb)!BT+U1qZ4qChrwLD3!^9sUf!`^O(Kh
z@Q|y0C)20@q<lIRB*2L;Z*N-E=Qf3VK|4*)$BJP0^>TqNWt<pCt9~~eWdhvh%QwCa
z2;<Slf@eQsxv=SXM9tD~W2VM3bnG02@y_|4ufY-AsP8?L@G`_0rq>-_=<O52t4ni*
z-B)-p<Gxlw`kWDTw??!)J0*l2UX10DE?x{68}>~)VFU&2*~MfNA#}gt-Ad77^0aPs
zVseEJ@5{ALDDw*;-HMCUa8Cez?QchoCemTNIm1$7Nf7H?-W9&MEr`mT4_}nX(4qel
z_f4y1K@1M4mS#i=;g0mU^;gRbfmKq%at%ocuMbMbl?4i;c+ob$*G`5||K_xAKM0}W
z%0UA$e-WIih%bG@^!XgARGQlvA$;-q1U>R336I`sIB_<U2IY==liF{EuwMCH{dHy!
z$g>mIe6WcIYkCv-sMf;xKL7v#|Njh^cQ}@B6vyqo_ulI@-}klWdmG7)P-Y=A%ZOB3
zvQ;$jlNE_n8Y<bILsT-0va<IoBb)m9_qm_zzRrEFbA7(&Gdq>%iu=L?Z>HaGr0lCA
zAM5%#S>OPBR|eBXRz3(jb&Kn9l`4ASL<HfZoFJyLFPP=e50V{MEJCiRqRSx?-W*$;
zpwBtH-P0=ojW-(%63tbSZIjbi{x@8pFcGyS;3@?4)9kPBim0LoeO2#{T<3=T@8NOf
zYr;T*{~BVlPejKxr<=RHc;MOLk6OhAqG0lAm@;shhzLAK+TS?y!W!d}pV=ER$P*rV
zF+M;<%UVgwyWV^d5>?0gHCG%)l>b52AQAC?%kH=z%MVHBDx+2RBp`_<Z1CP35t)-X
zR1GQxAn$Nm#73$l1Y1uu^ir!Ls=pPDvHt|2?B63FwlpcYz4j~gDnS)R?j_1Ra~6it
z>OJ7jm4=IdD)w{EsG@lZ{e_HX5zzmb(3nsn1A@R-k7^G3Q{*@>E+z(j5nF2(Z)Jh>
zNIb+-Pz?n&<1Bfn#UQazBq^&(4!p%KEq0}-A&x<3J^nIrkVTYQ<P|tz%$PVP%cG8j
zWCa(EuS<XqF2>HKSRPgwST~=SsiUhRFRat;Bw<8XM|U_{0Y2Nup49c!Kvi!W|0|J@
zg1jk*SbbwfkiGI%LQzT+u?05Nzgw1q^hLqQ_6bE;%xPj(+tx%HHm#&PmC_)6<T=M@
zHzhC|=qR%t)<SIJIaxL5W#Gx1^}L5qlz>v~S@ioZZS<_4ChwfAEX;j+m~g6I39gs%
z<bG+>LB=43Z~G_<;%PPe_#7ozv=42S@6bhamvb(4+seVnm_TT;z7pW&K6ZcX)I)Pz
z#oo0I2k%GkrmPDT;jW$K1Ew~8bX|2@jD-gWpH>tdmOm*#UQxD~Oq~I0eI<SIy9Ev$
zn)f4{-pPX>AEE0|E(wi1413h=jss58yxQ3_IKb{TX&sCqQky$WRcws|$0KPxE!(mX
zcOnkgkc`mM?TyTFejFGpQRZJeB?C1C8k*#92sIQ?#7TdU15%yP*9+xR;2t)@n@n$r
z)Zzu1SuEw?PlVJ*g<T2YTXgK@Q!zv~F5z49?_@#eShmO#NgS>{l9y36Hbkr=mmK@Z
zWx?Q5i*%ZhDBzP{+MG2tMAm00<vFxuV1aj|hH^v@C@*}n9Mv{NE9EZtk*hSAk7hiz
z{lN!yS8lVBiyESZ%PC?MAyP29T5Y?)%mdNqKCLEhB1DlY(6)6+5|q!#wMXCPgp*6I
zjJC}Pt?PPl<sQrl{d=}`U1xU4y?H#2aPZ!yftGmwIPrtN*#CBzWPvQL-SR(&5nANY
z7*x3>1}e@h|DL>H1U_epYCST9=ry|?j}S#c|C)4S7A-xPnJ;$j`H@g^jr!J2cVS?&
zFC2R?O9QDqa><*m2FQg+tvEAJ5N?e+?|2@fhTpQcvJw;wkamhq@a`5rkV<^HN7$)g
zCv2xOAW0utrL)M`2J->><0Cn4NC{<L8MJgWddP3W^P2}HFL-_+Jt=9S0Ng#c`lv&C
zs9B}e-0(d&oOqIOSuc+Q64eIW3X61+Ygh5lz(g+S?C;MgE2jY8Tg?GDI$h*l`#5pv
zA}1`S>bsfIQUWG#A#vx74k`$W%)lpefC-)H&ZV1_pvza%pz}i;=?d{Ly{lx0WKETm
zySh|xmqEur!blr!Jgh2@qhg1)K9h`MPHJ#a;mM48qlKRBuE^yCu>tWzm_sNF4J15F
z4Z0$uh3>CC=fXx<;in>FzAcUxuAjE;E6meGJj%8U-U6)PBsx(g=0ykfRysSJf|^L{
zjFazfJPW-1SJiT}f*uG<3+*e}8Yp>tt29)S1)}F2Em!0i;i}|-tCzS2dKRPAFt)@D
zS1TmG+Pr6i2ZQ4&x1XycE*I<2tVw3L2n{FYJy@WjjlScdjyj5Se`GB~!vcb3v8os+
z8*EYQoonq-Llmz~q;2h3z;&D|qnm~uJhB^!7Jh1Iw{^o^x|s!7i!YYQF>pX7b@YuB
zv}%ay=V;i52P+gClEuCg;e<3yl*zGF6)A)p&B}AI0sEVrve-jhu&Din5Pw`1aV|M#
zCMU2#Lombb@@w1>dH-I?ae7rWE$Yyi&&CeC3UZYG9Xw!1SEXRkNJQ2?J#SN9umgWI
zi(xI15A+Gf2)jW<zf}N8K)1j5{@yyl0gnW44b{Bhhtp4gP@S_RqDMkWbTg8iFo3l8
z9FZVolR9^)g^B3NT<6{OeNMQ{3Zv!=LSRE{SEaK>K$$X%9DGY$;D@vJ=6WRp*92PZ
z7lsJv$!+0hr7PSpWB0~m@sJoWnLYPo=p-N~>la}(OuR7Hu%7)0i9?fbdSqc60UaX^
zPkZX|L6jzSy7plSs1G`8JkU!((L%XWy*Kz_Ph92Dn3E*f?5=mut`Ja8ze$VvhydhQ
z^7}f4OF;rvcDA4p5zSw`WN^$*2y&I_S%3T|4S6)@Ra%b|(e<UK0KGn8;D2Q)x(YH-
z#+$Nqw3vv<UfRun3KNA+2EHG+7iEE1S2jg?&`&K{O_A(WF<4S_bf`bzWymY)Q=HMN
z$RhRW!0j{Q&~16Vwnj%D;`Z=av8-yyI(O3Wv7H25mwb7w@2CQZU4LrLT&{)!_B{uB
zwIyM$etRj#Nf9>VcB|Jz)lpeSq0duEDM;gX74k4q0_C><#{L}AKuw_kp8%6IG~(5c
z1+XZChsUN8BVH3V^=jt5_$>{?;hrs|m&$NLf3N0*vKC7D_A)8xiwwLLA$nX9Q~?2#
zA8En{+UWi<hKQa2WZ_%8fQ+t<3Z$8|nFYG)An$OewO96Xz~afdo=Z}J;=-BolhL|}
zm*%tGhb=ictM`I8VqO{OKHJ&}J<~&>0o8j^H*gThZgi-}QW<DQ?%dn$&_@X+U&_ud
z;$T_R(>CLj5-dyGat+QJpebTRU_DVD1hcRkZ`Bmx?OOWq<z*5I9hN=gc2piLt)i8k
zo8{s3Ik(BEV1%v|(9R=sdD!`@JM~@!2NM3fSGao-V%EuROy`k@{DD8_*R5p1rpH|W
zzM>(T=1N~~uf_rEZLTzBH)*(5q!_J#))0l9I&!R769<;m@gI5JB*EV=D?~Nh5Pfl3
z3Sqq?2gS@sGA_7?gTXR7b>^)hx@GX%k>ax~oaCI05@`{E7V_AC&npbk;K_i&Lz6N<
zIfp(sFbYC`N#wKRPYsd4hd?j+d1+w6j@}7R<pmRMyFtffL)1;lFJU|)1%bUP@)Mq1
zAPZ_~18xWT^5d_$WQ!yuQgS(cxycUL`;}^4NkjCDvteBFg#;MaH=KMW!2&Nj%8I^>
zAoMQO;lBDEap*bDOvss{heg9!@Aqj4S-{DB?7SGzQ#VKEy3oL1@5lEyjS;GB@*U<q
zsQUuz?Iy=aN;u59Wt==rLUqR}{H|09L2`cYmc24Lq|Fa0h~r5}hsNXPs}BMoStNgc
zVDvABbZ^hGUNb<eKzML|fe%)=rQ%+>?qN8iv3`wqeMG(=&wEXk7q+%zYiVEZU}0Cy
z^caNn(T$)ZaZ$P45IdT#9bCPQ-F>F#R~V#+s#~t_o5^zlw{iH$yw5hKXfW9I71KrM
zIHu*f1~|ZM_DFbe<~COI=y9n$k1mS#k$Zo+lpU5P>4SLmcQBcdg-1LgI;dA+b+bI5
z4Mf6-77|9gSP>^?I@GR>p0b`lZx+Z3m4|}gk7e#*f+HyKrHVF+Tok;v*v$+%zB5i&
z)c;~#`fuW%rfZ=9sV~zJ7ns1Y;^(j%EgAT7So%!-(?sID6QVPYjL;HoNHxGh4pIVX
zDFJ6S(O!UPorymK>?iaKcPdkWDa&%K#h3=_6g@)m;uSqu_B<5Dd?<leRpC&IlLn$Y
zqoNxiLk|_k9PL|gsDRUkN8YGM9ewu^$s}u~1LI54;ZZy^aFbUuAi_Z%G5IH%YGu=b
zeo<@X@Euxs)>&q++pmVSc9{dE(&^y%ze-nqNqV421fNnbH6)}nlPX(52XpM>9TJ@k
z;9Do?HnXgXaxp3Djem5o8!?EF%3uP$f_=mhtBOPq`DSIDrH5yH$|iA9EU@^J_MWTI
z!JeEbLFGlk05ZSnmb?%fw7&|A*{vd?YPW4U@)`z67<|lh)qx$jJbwAByAx5lXWi9+
zOh(9jJi414#Q_qtPwkv(h{$caEonH52?jrHadA{|La{j4r{;13N^N^{d7_aSWKYYu
z6w`5oq<c;GTp$5m>nR^4v9p5JUAD}jP#$>9@<;hFj(}nx(=uN&KFD_)?m^Q(yfFVx
zJ}>+i9(nlI7(U=&hl?fic_;4j!wt8XD6v{RI;W^K{%nICLY*|3uUiO$HWklN&ii=u
zxVttYV3`Aw7sYRX6BCBbF}et1I377}+&+;-#s%K*1b+~@MPcHeq5lmJJklopY}%3K
z2C0fK#~ITOxGs`ABj=1qSN%J@4SabZ;kAHid8s%w2o1@cJ&8w?s|nqE^}LXz>Ljh!
zBLTWDhsf#<?l-RNYAsOVhg(xOj=rUrf;SQN9tBwk^_<`2ajp`8mj2_9yDX(4Ia=^Y
z(>FZ2a4NNO<G{y;pM^?a$&`T(Ht%<nA_OEn{s}k8BLc)yXOF>y+~IxH-P?MdfR<Bq
z-geK5f<eRBgwP=zWPIa`*V`c=GWwtwyE9@3bSW<O%#nwMUe=F;w}|LONl67vih~K0
zxMJ?20^ID6*Wl1mMG~i!;rr}?k2ySg9j|=AXZpuEQxs}w(Nm?lX+;vIRw({uIUjJ|
z5nKB*qlRvDf#CT)DcIxc%hvQ(f!?mKv0=07=q&4wkSw(fsCR8<E{Nm7?QRF*E~O^A
zuTA0VPb&-Y8+U1I&g0>F6^~e{h87C+5KUM5D+>&1shaH1@nDtCME>iFHcEFf3>lh`
zgU<YhkijZE7;PlYu=MC4=_}9V<KN&Q`X*oLKpq~(U88iJh<fNQSp4DgmWQ?JZXUkl
zcrbBr*KEI|kA`KDRpF{Ugf(x*6g8><?~}UW%hLwPP?dJG!$|>HKhrxtzpM<;wI%ib
zav>C}w`j_9PXXS<WawLrD?%=h1sVBMgqU=^2`bqN;2FIawzz-beObp8X%!5S1w&G`
zO_&1QB8$HCeMk<n{PZ3t{%43Nqk=?^^C|%G6o0b9eHmExNuJ+aFhrW)gJz~~%0t?!
zv&d__6g0&1UtN?jLOE$1-lT3Ec-J2-aA*++rg`dgWiummRJyXAe^m}vYm#(ph7NKk
zHK@1H)(8o{iS4ubB?}`rs<~o31t5sx6{m!e5qi0vefmm=3@Ec!7k$v+fnQCV^>|Su
z#4#&KD1IOf)0c(**#~m~O)z@=VcrnEoGv`ueoP8hf9MwIDzX4PIPbId#1IW#9XR}y
zNfMl3b2;E79qgG0&<r~pBC{~_ZO;aAa57W%eSMx1Dy?@@EGP|8GC?WP=aLw7E$V&`
z>H3RloTzHSiV<q0yfL10K?L66kJ@FKZDAkNGQPQ+B4qC@yjIRF1Q3+VETXc8sTPc;
zG<+hV%OS=k6JPm3nOBV5{_QWU`dq~~D{>O5C^*dQS;h-)i{!NTbmlO=!G2Pxt^s<~
zIAKp#!3`(hJa{i$Foj+2Rw#NGsgDF=l9B5qCzzYX%QI$8U=ilW{c#m~sH3TWky?iX
z*qI!81xLrRUV`?`gdJVv6YwYwD%e0)p7~vh#so&FjVm-V(nY=faq*T_ETHx^o7&NT
z5)1udY?qUwgQmJ0W1reE!Q|RPdb8Cu=EAN{_jW`Z8Q(9#DJU{Pr+8l%N8K!D^3Lw|
zZFOxFb-k~7*_sYIiqqHc=PqEpD{7gNceK#!Y_H7WS2UnNi+{G?`wLt8#wg<bTN91G
zc-sHbni|Rz%97fYR<M<yE+4h+HPL6*uiQ5!sUX|p<BTE88g`3yefM^a2KtqQt*a|h
zLc`A0)NAzXSd&M{j)j~Cs((rRkHwb)^2$uw{De0#)xr*G_Xp}|WTH8~xSbsIz6E-o
zFyF=s40dPVvZy2S3n!f>+{t0wqv$YY$}X1mTgcofQ4QIC3dE?m$-!E}b&g?aAKMTb
zIP#BL4V^k!wD4q^3{t*4;!IQ{g9Z8spXmfuG}Te|?ei}(sHk}>S$%^XnBRUZ-DFlp
zXOm&AfteiktgfAvn4kc$9-XsVnMBmrsYY*UMGo0X_&!c2DsUkbX1|poB9@GE)R9lg
z!L8-c59vv25QC@Tm#PS8v|pvLOo{?JbrTkqlWC!CAo*yKEdiOjb=B9_QGk+>?OS9`
z4^cFB1rCb`ytR$YeGyIxr|79>ALALpFtUf~%`H5#D)7>nH>U!Ihy4_Tn#>R!$8n$w
zc*Lh>5i4Ur4T(7ujp?UZA+WUZ`O``j^jh-Tch93Vz_oaj&TW(pK1;WT+w-X)wl7)~
zlL@r&-=p7#a?%_SDVV?gFh&_^o+9(m8Kr}!k%VI{F`O{M$Z8nAtAwaFK5MACGr&?|
z(1X)|xu87WF>>s>60+`=_Z=o<0^4XxQ2LJtQaN7cC~zww)`I-LEA7m%Vj$6GX3GZ;
z-(Otos!~Kl&p+T2n^}RUj~v&fAOOon+rsxk6w%mAkNviFHqepuU#U<K0*d&Z=1aPY
zXin)Fxw<$9#5dW=RoIEZ7m{MqypSS_Q<>OvJ<SRCr(59u5izKPm5N+mMdTCrh%Ngg
z7rb}ACvY}d92_T8HOiG05k7>MQ^S}CvgR*IMfOX;#QxTmS|3G}_>eSiHpB~?`n3TD
zdQ$KfS7%cS2mec`w7p8_haBsCw%29Spn?mLnl)BJYs>|D^Fe~JW^z1ZMpG6FdGG#I
z{iB3l|NgYK;Ux@rqC_nATIGQD%3;^MAIfMzHa`>>DGHPHtz)145BB{zhvV+cD(HNn
zCC^^B7`#6mg~}Ke;iTv+xn&_9G2cEM<Fzdg|E|YJ2R>7R6s|Lpw7~?le~LV}3nvMu
zYemU>^i)6z?Va;H*k`KhhU^l(q~H?6x#R^`Jk-Rk#J>(!MXw41M`j;N1B{4Kl4uFQ
z_f6vR(PB09*Z&ry^N<XXUl0l4eLw)qLrFD9$utnBTIzp#+;X7tu!a6VdLpn~?R&r+
zrHNF6nj3Zy4p=^1)2Xl}f>XNA$Pl|WdKkX)P0(2$dLk1Y`c4z!v!adnWStILNW4{d
z!%+cz``9<n9U_9=1*?p`2t8!rAL87sqzDSb(hlP@1aPYDo%*e8fE<ooeq7M62o{+?
z_4%y`Kz_^g@Si~va_-Onn`oy5-58y|$vHeUmZz%JR3Ma^Aef+*ssz8w7sO?ol;M2w
zZ%VcUKccR-WF(|0!BFt2CpLzPaKrWRgM9`gbkQZ9?1+^T<es&u;S0w>dmt&MG06zE
zN)z@bTNL5jSck=n^D=O&H_^dx#t2znKc(1DuLxIboT=BnCBaKJ(@|T(7?tX)IRvvS
zz`$+hUve&Dz?f#WYNBh5I>gPR$7gWR^RIH=WJmzwC2>v#YQ~5@(!HcVT@LP>ChtWA
zal=six>-BBG0H4G{o;$1ETnO5?|;6^2A4Mdl{kBi(BIc07f$9$gGk-Z)^AHXaQ`DZ
z&2dmCu2@xPiBSq(@8mi3ej|gZHv&&w6^&4v_RVm*^AhlLD5m<R=sJeJ%tnhg8={~p
zB1vab40h?WdAC}pur*_r3zWwV5%YecQ)!h5Fa^An)YtupO)<`t&`%*$zns9_-y#Sl
zLT);L8e2*Aap(B%gd#NYq&%aDj30V-+MN1SM@h%Fa_MUJNT|@SG%@lN5A;Y<QK{8T
zleXHoor3sDNXDD-+?#by*r?43%qLqQiEtNq&FC1Q(grU-sw#E>ypOHGxh2w^6$xp3
z>7)F-RvSN8R`~GmZo-G~U!+KP|3ho3dPrs3B(%4P5gd0jYmmz?QfO&fsZEnEqSTqr
z-#W-6t;Q#5bb(8xt=0$p=Kpk%UAS3}>Je&KGW9Mr8($zDqjNu5jdYNx;&6t*V+vq&
zU*-^6o+H`6t`7E2)J9C!sXyvW$pA+-l{8sBL-M%Jn)vs-779&EkRJBj!zgIFJ`{OO
zkuG)kmgwQMP;1=iqs7WCOv&Q(8QZOKl7vywp`K_>l!#|P5gxye@gyr)uiP6Yb;LaR
zdv!zu%_Gsj)%B|wtKN0`YZrf#B4&G6cMUbrN>!9{$+2Y&I@M;`_IgPx5w1kGr|M|n
zm+b3?ghfnMOj_knMK?*|?BK(AE_Kv9|Gxdj_AK_!Mh0p5bdn}EdZSfh)zGyU`Ud$c
zQ<#>0Ua!aCCsO8Q*wV<RDq_E=ak%Z|1g7E7cKLTFkj%+HNQWM9;ANZF6otkZX3xeW
z?R4QCiTVjI8O#%rH-jt5xN{i$Bzle{?VL}ljZi;U>Q6+ol4U~M-v%+oueE*+1IZX~
z@T+9LMFN^rp8A!1svj#&W$|_hFU1%h`ijkk5>PyO$m)1-FD7=Ov^wxsC06Yc>`k?M
z;04D;KIzSU$I4~)g}!PwV1+_Saz_*J=(X%Raiy^bdv{4EZ=CESws}eJRt*mxo%Sxp
zo2+(YVw&sAVXwbnJAKiGjz?9{m-q`Z8fUvPi;t&Mt~qvMRo5#o^ITCzif-?IIH`1F
zEi92G7yo_5T!Q^6@4Zk$3yqncB?sSQeH(VayZ2z-R#g^{CKM4P)%P2I0o~Z@U<~b{
z_8*w<=mSbgQAKnmO_-bJXE#Rs6J?k<_G5mE|3X$yDxi{)n;m=6Jy@FWNO17}ASQf=
z(r2+q9tE0+@He=8$4oUvGgI4#u^%}{P5&(8&}y2&*bAQ@SPUmic>nY$wr%%Rcmd(i
zd|AHA#-m=$KFxhZEM^=tV|o7kUAi3F30w2Z;_S!Pj&y!yM3Y#`SY?97Z&}1wJ2c`^
zHGr{HyUy82Ok-J1b7oG~vgmU5Ap5tBpO^}T_VAkWEXD)X)s(Mg(DGqiuI8&@Y)D48
z%`b2s``LY8RGL=?^`#g&9Elml{z|>izB9Cl-7M{md45A0T_t*D{OTIRMl!35dT##4
zEZb(Jl2)Y<A?TZ^webWtsPm~m+h7H|o9VXv_Ouitfz|WUp-JpqL%V+Y&sA)$vrJ58
zL=yEmWg9gWPGgILS|cHk|6snKhxdnFC6V&;sL{_4X0fpkM2^U;4Xm&AOUuMh2^72(
zo)g(LkJV}w?aqJL!k&?ik0UP$1krx};<zQOL!H{^g3K;fnK&WExG0X&*Sdo%+kaz}
zGPe@FKJR0n?zR<pUJ^&QBX7qAyRBe)M|!8soyb5r;7(aEvp8ztj?viLTE*VWoR&Gh
zMh;e+l+nROVyG_cN@y<p!MsYm5>u)up}ags`Gt`f+Naw2K31`Tc{uvi-Frn1;bB?I
z+^wSM=$lO89}`;`=ai?(<pElV5zF{PD=dn}t7`4pEOxQy-$dfaNDOcxLR35OvIvs;
zrW0JVypM?mc?=ItF~MQ40n_GrVWjx`-Br6_GDu3&ZRF`@g>w$ku;VX`jwBIPA2L&b
z>MP~t6AA3_+t2i|*PalPIzyJ?-b)F7h}Yq;Ehi8XFWC)07DDnP_uMJIQbX2N<3ukr
zZph1crLu8a2;IF$G4B137KXojyHJPo!m#7rv|Upn)JoM8Tj$FF_uSqRpZD?u@n>xa
z-s0eXEAHX~R%UQ~pAi2uQV5K70(jTY3n8(L2cNh1SiyYrc_E#%DCjAkVA<;tLKsEq
z;${{*keO)NJRylgPce^p%o$<i@b$tGe-BRhWMaw8w<!VF*UojOT8f}m@*UH4J8sae
zwOZutkpf*$&a(=aMN!5;{L|bpUg-ZvX3x?q0~>xHoUIbXP;Zip7Ed!joKTTzboeI+
z>%zY7ddcGG*(rCuBugQP6C38rvQPlCt$M@RE(zp7b9CQ~Rur;k8n;frQ-Wt}o*h94
z^T|(&2vFY>g9`N_>q-GU<lXw4565KCpY52o$0-ufc{XC_j3)sa6VH!ny_7?BX(>-O
zwGQ&MzrwY?m<Uf57yarlD4@}wIjrTI(vTtjsy2O86>gPwu|EW5RK4SL=4SJOw~j`e
zs!*uI%VF}O^QHtOtgA}c$-+U(#8p1=J@te0GTO=m-Ws%-$g!SPfJh3<;kH^0xIkh&
zBHpi#JpB5PTM?DOjej!LnV<;+mu4s{E@>g5H*ZZk`;@`{N1V3JVND2ro+)_6R2Q)?
z+0yvS;X$lBd->xp4PY;>6=Rb#Kq{5qR+de8DBfD-XA;%`DPQtmX*UoGJRGOyu1SDx
ze(6AgPBk!=<E(f(a^SgsA$bcI31HOJa_kDDDwwm|rJWKqMz$?J{6g^rP<Xj&F))sY
zdh5dvIb}^y<no5#b0-35y}ZYGb4U>)Mm`4NHcimgUtKPzSMcykU&Q4{t}Fz&oy(|>
zJ%lWH7ROBO@$e<oN?+AN0{#a80RR6Cmv=aoeHh2djDv$?%O2-&taFY%p0CxAc2Xe}
zmBO0}A??zXqNt3rNy7>eGAk>oR3c?0BO@at-t+H$J=gEKujjdcpU?e$EF<J#-)xU#
z4Hs2b@#|HV+}iYSgPm-pUvhQ#>2`Y<boMk#OY2mMWvz}nR6wq5poiwVW!i)1Wi{i+
zfL3Mk?JS$BT^yCZvRmT<*4l$C{;1$sB(>7yJ@rw@_lAmY-Sa<P8trgiLwrs|UZe6K
z8e^`#oFwKOqJB9U*&&NjXvmeKTG{2O$aR~-joni!Cyk?R@zmGsJDH(enHh1^X-AA8
za@Lrd{28=?lf-2w?(7wnm(EdbAI6X&bf32Sn5_+JN4^+rqRCXgmAy&oxFH5#pTAZe
z_pPzYqTW&WH>J|v%{PVlOB}Di)TpQMSVJ_O+h~4?Tp2hpDkV@sftlb+LG>d*-LpND
zt7-%)-JWRtwPQ*k;x5nQ{5ArsH@s0ApmA4P?DV6JdPrcWt99OnHY?zt@e7X~3l*{l
zg*mqGlEA0;r5z@{mXNOVEtI)DUePZ+kZ{^k0$In4(&;>w*j~7%JaP56iV=F~zg!ag
z{Li;O*0L;cNPms^we%dq-@V30u$_WuLVUZD1I*#J;a7Xq{_n)GPWLZzX%tih9^egq
zZiY<XnuK@zMu{~)B}aCJQ!qHQ)muy04CPHWQ@IOMgtqOvxNI*9o{}?)N)MXCqKVcX
znm$kLFN~JIx{HEv>-_be?@X}VSHyg24+s3VDqN5DqrkqnDKOaD1ZJcIRvSx~L2u@f
z;*Dqu^1VdlP8A#D-sb8U%^q&(9BCJ;Yo*}mS6(qiV`Gqygvyom^1{O1)k}~jfdJ?J
zBa$zSU}|~f=lNIs$Vqg0IeJF|<EKsc**X}Z@QTrGyW0X-x~pg1tR@N1l(NJ3x(rch
ze6ft*iG=iBZHry6C2{$*!d|UVLwGiti4%gta8XwXwz(t)M{~~i<Q0av`8&~}tXu?r
zJF0i`?~z8XhmpwHdKR`VsBQLoPDWGsS|^6H444y9v9Cf{knugWUgC}@Ft=Sb-&+<+
zDf3<CEEYJYhxy{d#jtCCr@?_pIq01`@8~eYMCx*C))yafNWawYlWUcS$;WQ@qt#3}
zbDSNHai_o{I_c(K9R<7#C~jMKhly!pHI6mx`B4AKuT_w&h<6V@#)gM5k@@6blZ~Gw
z<c+fJC~-=N_$e3o!i$M>3SQy2BBW6JtlDzr0cA|KWT}02VM0dQWx3Q-X>h)=Etg%T
zf*{+BJ2~!5_Iw33@AxT$Jy|6-fjX)nDVQ*n1DLox7_yY2BL|IQXI77#8qzANLTERb
zn29S~)^|o89|~@5zDiby^h$<8X(babCwV_+_OE~+xs#;2Tmy4~^k;P(EXY6hD__1{
z5x<o}-hEi6iIT>qIr?T6II8#VdV4?#Vq)r*HglRd*)BxOEo9-_7G~9RU1hxf>l*&w
z5Eb9MzwRE;HpKN#?^D6k%DANY?p%E<4KH2(sA?1%qPf&}aCfB&YOg-pubQa^Zp(V3
zy_<}{yYOaR_+?dGuG#daW4|^GKTePgIgIhTl*!|>Sq+{1Suuk`bg1_&jmB0Q!z5)c
z!&gEba^_P9<ZsZCxMqXWOq2;8>t|gKeX9<Kax!VlFdYL8;WtSCnIfQ3I>qXg2KIc(
zy4fzHgH;!wcztm;L;voKD5kO|M&GBBN+>$)Ip67?v&tOjQmPlrpJ-y_aHfpGXF3*4
zD=jq5ERft${c$Umio3pDmw3GC(3IX%yidy#Gjvj8QUn!e+%J!G6lueQE_TU4+zL6j
zTHABpP+_{WYWtBkEp$|!b)k=1fwi;2Q*xAw-V)P}l2RJRb{d9il@Q44c3rLghl)qr
z0<S&`qCz?-&CS#Z*ys}XQ|KcV1*4^_SCTZ5nf7Mk%o!k_d7-pEmI{xMi0~)p)nU};
zuQFT#l$*8NZZM@nI6Lx?)QBqhCHoV?Mu48FLpCSNG!by~*4R%+74QV7Rx}D&qfN|6
zm_tnyU*`s$jh-kW|G5HFP}&+U6_<?Fk7&To>_KX<nF4wo;&pl@tT8^m>qpfib-0)K
z-u`GQ2g-~2;Q!cM?GLW{xY(|SdGBQ3?SaxzYTuS9J^)C*KCw}GS`{|?buI)CN}#Il
zbisahpUU<<vOXkLi05xH*_|Se;l<Jd`D=i*R_fzE1r?kQ`jBUyA_`Xlhr*7{K-HmN
zJUa}O5&rz41^)*TFctG{EX4rflCTctRZ0-8xFD!AN<xua?oIzY1Wx+Ny1UjXAoVei
z-_A$@u)0=Xr1KHTOBjnD6j_0CM!w(6EPjM^gna$;pB1_{DM*j`%RyjNGJ#>thb=RQ
zCbK_S;ySDT;MIN^)Q{JDcWU#3_laa=uc;;4=Sxouhe%^4EbIQjaUQ%KlC~d6umICh
zR$h=Qg|%lNT<lZi!IAV68D+~X;4P_^9XKh0Xyy8kN`gH2cjwU)10Qpw^DYdRbWt#H
z!<5=?$ODT~_x8b7Gu)YMpnT{Thh^w2YjYeAj4p_*+HYwF%7zsO{7B-kTPCeO$?k_S
zw$LM-V~W6zuY*6=i-99Ax72Wm7ol&2>3RyL`0F`-KJ1YwGCBJ<+-v1Sm2~p3K#U1u
z9}cxyYl`A~#b`}R2S1cK`zAgMnIQRD%SQWBGUS?aX7YIjV7~PJYtt2DbQqmvUE5Cv
z_HRDIu}Kic62>eEVPn_{8%SyDl5zT$PC-x!2{p?M<~w7IAo9C9R#%V=(tj~c>4Y%q
z3A<)zB_sIp4joJXCjx_<p5aG5A{baa^}O(@A!h28YF+us@bd_nBDaw-!5#lyZzY>2
zthdU#nq=%K;hR{j7KP#77!IEAY%aZ{nAPtjqxHhRx2tN!5V&D#AnY^?zIk7>YLm$@
z@A7`0*Dj8`jFW$RHCeC{9=hJUNJg+kJV{}Jf^;Td?7jC)F#Cs3&HIa@te!Fx$dp9O
z`NQRW7uozDOUqoC5XJFTsiD~?q>#EH;cAi%6LDdjG831@AR_4Onc5|dT7Lg81Kdnl
zMTuF?8Hr=z?Snd#t+L2@IM)=~!obb-Uaqz?;&>OVQYPCihwB_F&P&M*s81w`@-|ZN
zFLvhUn=>mQqB9xJI>kU`ZAavZLJ8Px<lKD5LJ_`Udpt(=F_7GO@Jw&MBuMUGk6yo^
zgcR9=r(!M)bS_W!@vN7^q27ai%R-gezWg4Xypw^w>9z7aW724GPH^HnrULEkuI9(=
zbCQ(Yb{Ff&;sovV%lMP3@U^Seb2-ZZwV>Bi=ad{8E`{9ky{?9Lp7h`Cj~VFAB>iaW
zmxtK_*Sc$I>S)^~w9RFRfoG?GxMz4Mpn%kT;ar6VepS@=OPMjz_|(tJX;={>+Z=nf
zzG&i@&Zv@JJQK<F8{bS;E8+ZXocjH7Ds=Ug0`7~k;9^HFKM<#ktKHkZEjhK&bFFBU
znaG0Nf};Gd02PFFaYWqY(uUfrt|bq`5XGOD&hK5XicXF(o&P4ZVe(#Lo58dpq~>o(
z`D&|SpHEfVd>tJ^84dBuRYq_%p7|lltB#3<M<IP7I=EY4R?nGijBOjr#5p_EVYB|>
z&15cJG(`?be2O-KL!qK~c)A8$vMhTVTy=5v!0X~SF{YRkFx?mIrHQuJs;$>f=%U%J
z@d4$583sy1Ze)_FII=>dk-A407n%D_1q#ez8TZPuB%O+KnQ6;oyt;_7vYa+}Wq}FZ
zslWfJ(BPHzZ7E={4qkO~YaVI0#N^S=oBbzg=(N35ckL`4wy|q2@9bc6sdLDpn(c}0
z>-f^SJhf4HAo<6kCIUs?7O(u<Xzab|M^+oR7KElEDa~7e-9^7^Y-?%Qs@R_&8B9fh
z_~Z@b0oPYh-#(3^!8hLM*7s@+JWFaH7+zv?_+ES88Y3F6aWkfdr_|u_-eY8^xitp+
z>o(REQDHnVK6qSK6}QXQMK<rT#)pNKN<&gqbVP^HO{|n*T1GvzI>Z|5zn<IewNn%I
zC)2#jKP%w*Ecr>$ackWBv~KH-v+VZ;AK&BdDTjp%+@Iq7tzjJzJG?qh9VQa%RsN_-
z!_FZ$(`A!2SfT>q@d;`exwEaIO-BM9>o2C~YFH!Djw>l4j@?I+DqS=}3@IPu^&X7@
zH$Jn@Ye%XeJ#f{lawZw)ub#Z-o(mkFYT5qgj52nOIdlHqPr@r&1hwJ-kh0^!+w-AH
zn0}aTVk*2G@4t`4-cn%Kb9>rej4Qw-sC%MtJuh-M6uJz?6L|9GkADQ`3Y<^OY2#Mp
z#_*6rjn9k~{)Jy(rAU*5m2}Ex(&1(JvG%>)kM(T7ALluz<|~6p&$y(2rko&`RPZXL
zS%Oa}>AGQ)6e6teO-lQ4;8euR-pF|i?3_*=C9RjlTDP$0VZBSles9a9)mto3?X@8O
zV3Y!H(wxz~n@fal{UxYAGDq2hQ-@uiIOJaMUTCgcB6>BBJt$vpj(6du^7XgG;H9x(
z&u7emTie|aNBNjxX{WMi6npP|5aFOARK|fC+2ZrR8%=R^YQwM6GBR{N^}H@T$O$i6
z{x&I=DH1u?9Q0Zc0sU${*F`KtbnB^MlOz*7^X(HpS|W_^)jEylMqJQWO5PA8Y=XDh
zk830z3$gjS(>QSrH%`tKG!LCN#!le_UWM%>4DVjP<>)aU+|E(lm^W(#wTy4l@0cV|
z!~RC?ddZ8x0E1uO1C5|!`9+dkDF|kGN#P4sekf&V4M(%@wWXAR*2+*p_~meZzLT^Z
z9)Ig@_l6mQoX?pb;US2Jmv-k~F%-nUluc(Rc?@BESvpNSKoA!NXEieWNjRKze&$yU
z3nfqDm$haK;(GF<S-%2d2tO#$n4q$-v7W=$lSG32-VZl+ZY1OE(VxLKRZI-b7S54x
zk)S@dtg2<3C|XQje3kKJBE-6Z&)rT4jEF>)T7NNk@<iBF@i0Laz8xSYD~!fM@5d+a
zh-0n0vD(e248&~6qZmtyV7kK3aLXqOR^|=kw<iNu@2am~l_w+jUq9t8T@vaAEx~JL
z8Q_%`%t(64?xR?;>R~LK>&08^^uHKDvhHtJZm1}(rtVH}m6gHx4S1R+8{i!yDAI7X
z7-TDb%S?-8;k+jEi{udlG;0Zu=4gq-y-#FQzn?rjoaU^e*BM}o*2K9K6$;Ai&)_bh
z0Go&V`J)*ISQ0A`PuG{gO|8h&9+FC^<7PgWR5d_N(cAYXPLkNl6EvPFtBm<SA9~D{
z3_$<vl+X|*1)f85z1!$2FrUabveY&}Q=LKl!yajHC3U2hI;cWx`Zy6_Z-6h8d2SQy
zWZ8Lhzfay#HAJ-OnXEcwfc}+BO#v-((BFKn`9h{THbyS2v3_KLyD7osgncXUsgbnu
zbB_irma)Qy{uzM3A&=oNp@?-2$}i5SQn8um-Qngv3~=klUr0U3?%USVD`XE1MJ^;W
zw{8Z$6q)e*J1L`%r4vw+sD)`Y9_!AdOgMdQ(>S$K1<e_HC5A29a3JLvu2x}T`mvp7
zlZ7gNhC7o!jL@O6qoG>!7YpM<l<$>>YRKOmAa!O!2ZEs=XuhuvG2$p9XQ-<V%j#_t
zTi)x!jO$7v!S+sXPJF^46%BX?N-g_vNe?nr>JPuP8e^A{eWbRqCW4hu@;u|#$7QU1
z=sINr`r3$1_lGs%!T)>YkD5Mgmlh=QsAkAs`(l4qF%{|=G_M$Ceb}_!D8IVb9Cx4I
zxi{iV!(=-1`q$rj5POx&5u9m(@xwRgW!OHrqP1#`*&01`oWW7vpO#QMzInZ7h!&cz
zdb83u=_03Y!#6!y0%>|RjP!af7<LLKstD?U-carPRUQzrEnFu!tc8m^wxk9g*G9_Z
z?T=lFz=x!!kUu?Ih>F|z_RkX<!XLP}C5l+%nnP5p^J6WfMCJAk=V@X*mZ){`wMJp#
zVqW%IExfYaA^Ivt9Tz%-xTf-~A-2Zr#OD_@)D&(L8}e4gw^!Ll*+1AG2^!zQ;HSaE
zdb8;bBV{~w{jV`_-Wu<c-RJf7sQ58N@(IvZz$y;=wzZ4aC@X2WV`8F-pdB*xSCwSJ
zy<^V2d)OMEnL{$RGz}!~pBf$TkVLf73H!sZtzjHf&k@P5j^^c8`c>z}uzA{5B<8j?
zlI0@W9lxp~)UK^oe@p}qkMRUfZL@~MH@?=r*(&HDFJ`@YCV;AfHV<PVYy7R9X4xK7
z22*ME#j~q<(dgUl^`;c)Iy>?<%|Qu14PFli<Co!mT&ezNFTj)kOtRrx1&ke>{<3l1
z5}~4;*J3FE9JKe>?v|EEWDAXPH+zo2&okyrI|=ZXWRxG~lEsrN3gU%2GsLYTf4(P4
zR_Ngpm@gKV2B}gsaW;37VC@=Nb*R@8Ug@8&*;`7&S>g1BUhzLfT~8wCQ+7Vp*>Qn<
zFN%WmgYuT!7!yQiE7|tg5er=E^Otm9E)MDAA|2aD$BAD@Sbpa!%n{eoo9vn)iuACH
z=@;}T2!pzq^;<;DF{b!(#exqRYC4}1Xx}CXlT-5%MtjWg?8PA+z5BwLX$ONg@P{b%
zH&$^kHO1DcjKk-jk{~3W=hJRJMeGpSarUQ_DLz>^oG9ZIMC5gYlI*5wB279|s^gdm
z4xT+Y?iRHiG`++lzoY*WNt1^}ExL>`CKlrReLFvFBP3oQikKs&J~t-wtv1H{t!0C6
zocXZd`JWIoWr6U|<RzItGeVow$!k@Yc(F3fc%@?RB0<+LYHXkyVUKEbRr(MQ_&=FC
z?M~&uKANP-izGwbed3XQCzJ=qLdRyW4RE4zR`9-%oFTs19lRmH;(=o#>S+WQ4u%^M
zFYmH&ZquZBnFJ3KI7sE2vbdrBHizT80t>Y9_t~#j@W8*kL^_7bi^po+7GW7o6xTZq
zBs=ingw>~>@8x_by6+U8%3|Wfmv397?(yKd!FiiA{>w2w`eo~}ItG+Kc{e%;^Fqa{
z_&cAOAk;qo-6reCK<<BWTqP;Ia2ORPuT~R+*XS|hqQ3^{uHCA~aAALkDbN1R`Xac1
zNSO<F*!&bCnSWyO<ISTlV}(!2_-e61;tgSd%f(F*at6yGo&87gbf+jPza5%w8`6i;
z*dwE&jRM#kP3Ue_630=~jqAA+_3>DCtS=`<5bpn-h~o~Uz<&o%V$(K#+;yWA5{o4K
zqeO-KjY`0=U7o8*lFhAY;q|{Gg^_;t!T8>jQZO1g_V-1Z9%kwm8V%LRQ07WVe@>Ty
z$eG9U3$A+TT7CATgQO_F@#?Bc%*vvXxw!X}h#pMCB<Y0;VmM$c_h_O|9_z$r9~14m
z==*TR`M4E3XSo=^zc8r)>UaCG1BJTCP)Kmj2%?}ZD)nRYO(pD`-Ph5bql=-b{N)C(
zBrs}}RsOt88Nw3pHilK|g1;u`{wz}p!V!kQ>t|F@6;|`i=Z`L4areg*JeP*akC(+3
zwrU6zx?QHn=ICOJ-?4YDvfwZBAFobO$LZTDUlMEeaM|^N=3ZHOXy&%)t>V$drMUZs
zUPk)3U=;X=`_Bq^e7eJ|4Wi;nf9LSw2m0XO5|Q<wPZ4g5y6PIgX^4>t|0|<mfb8Qn
zJ_di4(EE(Hki1tL%+a0N?sWzz|4%R8j9&%q%+cpH?R4B3_+v;q$AGK!*oNOqs#qB_
z+R16IixJjf&nXWkB3{LkQV2EBLsMQayPya0H`{c>Tv_<{Cy5yIP=^`CG^&C9|8&1S
z$o&{>2!RtBwf9eHVEab7OZo5gp&2b}w<^~Nm*3>wesV_>@@cb1hWZA$ou^Hc;59*9
zdij^l>|8Ua_AaS$zXAU2-|W;IU<z*f%z2snH2k+K*6%=&0i=hil{bHz!O{MBqQWUH
zSY~XgTijv*sSi;-W=Ad1=$LN1h0uoVa%HmcqCS$Zn5pfZwZ!849f6%6wNbkG_=Cj}
zeR!x%Qi6^UczR)9#d*-N|0u;H*hde93M=-(LBOr1Wsw$4$9nM(ynnB<{RPJE36eFU
z6D0kq?0WQ}l4;{zY=4FAimr{b2H(F}{z5A{DkJxF^Nv!%ec0{3hM*1Tn|^#EHEUz>
z@-5AyTQ%Tm_wTcprwy2bL9-_`wXx24nktv33ispM-*DFk2Y(%5tl6N2(4aK6jWbH{
zjCyrxtk4GYzxTH|uBBmTw(_CAa(TQ9y4W$tuE(75pGZ@o;#*0TgjJ^$_U;%?o{YDF
z&V4@-W~T<+r{tt6_J~9F<6&8Ce;a7}rhJe+tB!#l?&8>bVQlyFY;e%AL3TxUudBQo
zX4LyG4L0)Ou~5rb;Vx^O34SjX^i&0Ly0mqq4o>XZ_OOTJoHZy`^}H)qDx+(2lx<7f
zEKzm%dx4{hHCDBU^XSzn;(|u=r?S>@qQhmjHG}Q1W1}h`*GaE{(4bSEG~Z9cDeRWd
zn$7H-HJA2Q__8d{_IWoCbbKMa)?HuM*+QW0hQ*6HC22e(oj`2GYhtL{?OoHn706>T
zL!Y`OFkF2&E&oV1@vG@JZMBvaJVh-X2O7k&tV;XrxxCa0yZT?sajuq#f7&9rqDK^c
z-qG&^2Ma6W)m4^7M_XXbA>pf=1{v9hXN!~Diz+xr9?%L~%yDl|*p@Jw5Vk!Xy;@4k
ztI)Vg=`s^F$G2340QVgN*na=k>KWI&6{h3kO04Z>5LS5;bl?*oDj%xe_Zv<oWVs&=
zN2i)%;M$Ble=-j)`!rPD_)<o!nQT68K5c@>$@H{!xm@VkmtULe{F?Zlow0M-Iujf^
z-BYi_xeOWZ3+b&<?}+;Bksqa*#-LE<vmRXK0PV`3#D<zrgxHs`UbE%KApTfIM<py0
z-ue?m(fZ#AhOj`_7Jnlc89QanpI;!X-=q&*`tgJK+5E)5tKAUSQXNlzdOb(ndA1>F
z(xRV`zh_D>v^T^bmA}1o&sn0(ihs9U`Y(c?VIERc#6omv1%J8SU*hkYYir&sj1ZPb
z3y11;Sa?~>Z!6_LLu}gE*z<Gi7-8D?>t7?=N782*c~{z}iG4hrTawi$i0xdGFQ2M2
zk=9!%%{o3!+)ft%ZyWa{Q5{}V?vcTOwRn&6pz}0QQ<g5hW^#%+wVyW7L}%crjpsk>
zeba<R@lz$%><kgJn&<9tp#fgkScsj?m?n-|)~+y>nj;Q!SQHi57(k-?wC8=v8RB{9
zIojvV3&e1MbC+_PKHH;-LI(LWgiTFi>Dbdn;@kVMQszE=?7p>Wm(TIP#HkltK`!?=
z5ULmW=j%T`R5dD`q8y$jZm7AJew*Zk=(dJO&schR;Koh69y3QI%MKk`+Q)@+z7?fn
zM|APhPtmNpcb?Gq4AUK$;l|*Kw{h|%I;i-V>aFJWkKm0;Ra?y9#q>u>ClNj!P`}-7
zeMDIzn%d>wehcHrQpYwU6E`}jdafG}9p}KR*g#jGU;*$ob$p#I)rRBdl7#P<*nI@e
zMiwQKz~3Fq@m5tE{im#>4izlJhT!51+O#kP0x~<d+|oj;_d>AxA{XvGXlv1D=e(x{
z)jrmuTKHh+t+v*O2l*#57M0Y*AXt&(7am80(plAG{(pH<{LxDJXu3FlN%ADh(`j&5
zIJnyFF+Wmj_BppYNPx7WvhiRO6@Jg{C~A=c(7TMzQE@4(;;dOY8&1WPclP4)d+dEI
zVAK7}+%kA=Jnx-EP!X*$;&}O!Fic)r?^~}ZhbtRzJ4R8cIKGU>LOqR)h%NC8m3vpf
zQKm0(_mU<oZML`a%!xwEIwDN5QxQ%hHs2Mvs1VmZy!6Ib90?(ZYo%?Jv3C86&yMVT
z_9OO|-ufj99=)7AAMscP>XOTbm-bK*D(?N;Azu<xVK*8FnQG`8Q~%xlnhMUKnOOVF
z(un=$m6q134wa}jIp$6p#O-^oA2=@y4%3cZMi(@p8JsEBDyxO)qFV)CY4Y$I)@qzs
zPeW!=$CVXg+KAwY>ZJ`TKq5@-%5yfqH6%NHeypTJ-8R~HSC$fV{1+x42<YIh%#|xr
zl{)w?S#Ny!w=yy$hYjzI>OvT|B`%-SL-$XvQC}NX$X|UDB)(T4M^YZ2)NRs7l10h0
zW65gxYW;TIwKeR0D```{E*AqO)UC3~0vgEVn6h2X&hyTDxpHH?nfO>Z6r2~RiQ56S
zZ%8c+TpF2pCpF1Jig+rQR3{al50kso+?a@wD;#vpF+%%vGON=>3&rmzPwXybBA(;7
zn(`$Rl&CehH=oqT*36cJ?VU^<5?Uv5<ct}N=p$G2Gw2Z1xLx^`{rm<&gZP1~7Wm*p
zbE!|$!RYac^t|;<)Om*;R=#V6{{a91|Njh^hd-5l7{+a~H;FQjbsWwyPsVfGLRKZ&
zMG?tJnITP5BFf52G>l3}Z#+LEg-Vo$y|Xg1N4)-l`~G~cdwj3!ilA}I5q}cc`7&1!
z?ouGnO<%vv62Qm&8aaBM1m@rE?XJX=;iA3cfUS-`lnZI4aAC?&e@v)WKwAX@xdu%4
z@fkpr?Mod~O=a+Ix#+~<t^_^}7pZ#92EeSVdO31{1TJ{44{=@|Xk{Eq9y%C;OKtz&
z3)&<&NaU4tI!FMABlk>;YYd^Rq-Ms?QVEn7ZoN~^kc6s`rR@_dh9Gh+MEZ>g5sV)4
zc)wm2gT((@Q%^G+0a_h3ReY`hskoR5VV@9aSkO^#%^QNYSJ*gJSRRajWY-V&a6@mW
zy_VE}hEP9yPe$5J7P_=WyPUF_;FiuyJ6oTfzS>i4yOU&~C4eoINoXBA(Q1%=g3%Bn
zDCSHzs-@r!C5$&)a0GK4xH5z#8^A#6Tc6w^2{2pw{JKZ?1Mb1yo+Kb>0Jq|QU!WHd
zhuZsML%wyBc;ojwVT4qDkk@>C%d|`soORt(3app#S9(TV4ZQmBKugpx*=;ve$2Pqd
zBW~a~a_7J?3E<H)O&MncK}d*ce=&7%8-Ma^Z9I(^U<sh!(U}j(yIeR~7-*4MX^Y%m
zWeoByhmOpYal`LRo8==Nv`9HYYW|779{h+)WZ4_R4zDsr5|Y&D(EiU^vqxQYAu!MC
z)oB(M_;2i^gOxEIdNL~~pcbnGx6?R|_|h}L(tSLqUX%{4`JW5iD$|DBsUBa6r)Z!}
z!b#BmGc9_ymQ1o3+YkJ9mMOZ2)-ha?I?#8T7R8VA>8DHY2UiUj8?J;!%tuhRzHWmC
zB~M3|9rvNa+Y*<pv!7<L&a^qLAGc_b^`UGXi7G9qY3s6QC>+JyH%ioA$kLz-9Ryle
zRxM!U9KXoL(2YsCHjjvBZ{u>F3hGZiG~r#C^e-;9W-Ks8a_$QEHtu8RD*mWm1KcyG
zRD&bK@p_qxo{{1$oF<R|_c}oXmMA>&SLr_BqxE+qyF<3{jA4Nak2~tn<B%Jha_&3c
z66138zu+xgp7CgQ{+1dvNh)fY%=P2-Q|_@dkGAmQ?t!yc0@Z-Jd{8OIb_BO42P0#S
zZ9Htw=vLpjDg+km_s$&~$8C9aPEm`u@%8QR^tU}#!EB9S(=RoR^HkiI;xeE?%@u#%
zTo|E%eI=Pi1I^+sDJl+ftu!cU-Do`4n*!rJKZ}fV=J9o<x(vl2TEz82_Er8I8Jx-4
zhw|(f@L1|wpKVP#L|5(4_c4+TAKv5#j<GM{3yvT9UyIQrqmO)@>+ED;)Bd*Q_F);<
z-MT(fAkBb8*v<{9<f%Z$Me+h;;wt{xQ>xP1iV>X(zVY$`RRtLJrzY;4TE|H$9qaK~
zOz1QIcc|)_GVFhf_uM+Xi5L8RRusg;g4F2RYUid&AaTsMBfxbFH}!b&HK1%4vRzs1
z{G~wxDLa1EuSPUzS^Zczgs~yT9~OIB;*?-PM1r})j}~>-wDHUaa-cwtvqLIlL^#OO
z9kWqPha4j0t9r7yP^L4rE!~m`ihp!J$T2dYo6Z%+y<6O9Ntq|=MU5iR#~eIr5ypsa
zdbZgcTJj?2l6&js`xT+9IOJI%J2T?x6S-Xfnh#B^HHn;RPypgP`iCubEXY(_W-{GG
z0Ntz(>(FpifI?-8a#0p53g6<f5?d8SWx*S_lxP&-W$MsqSS~yI-SA)6<2GT`VB(ZU
zQzZ{(S~)+ze&IwKJ^oU6+C)&o)0&vd7<q^d-dHS6<3=1@v;UaZMbW8uIrcBy<bm(K
zO~=>}57HhXWYO8~L#nbjeBap1!?Y7YY0``jNzh)7VVM#~8e$ggoTuf%ZEN)E<&XSG
zM|aGD*H{uAEMc}jl_3wiZAPEE`U@g!%5}<<N-6Y>K|F_kRvtKY`%3;&gi&ASZvzaI
zL8^ju!Y_Okz&vSD_oT20>a$BY9ob7jNw&e;bpndOV@+drN?a8EVbZ9eOO!){R&1>d
z3yMIQ@$RFu*o(R~3p5mL6wuLyi{eGQl%QZ+;dqsWI5NFWHK^P}L>g!7tr*=&FpF-Q
z4_%T#X$z&dZcHj6+U-F;w@qcR`EKyXwMi1GW#-f!D_2IdS&jATe^ua8m`~?RL1|QL
zmlLmFp@O1+WT$y>QebazY0*i48T3?ZDt0l3jOu?@x`-WC1-q-8(S5B1L?Zz&ZmCgF
z)bS!d{{}U9AKgQ+Ajlzm;nci=CJHhWe@%1OQ3KW|+0Lhh$fHX~NZS;WDmoxb?hF&q
zg383Z)GJjA$fe*kvCCZ*vB_~%dHtb6l22vTmmWnlu$$=;r@bmNIc;i*|I~(u+9Cxx
zy+kB2(ds?Mq>8p^&Iky$>cW7X;`CCP5_;GEyUf|2f<o;aWS>-Eusz3`e!`rDq|A-u
zG!x0_<3SR2ZzI4~e|hbj0ul<i=v$ZVqk^hMoIerM^?~ohP|~;8B($6F>6SM?3BkMt
z<4HRMFfF^VO}I=#hvMQJNJ|RH(Qtt_Zo&YD($n6m(vuM171`*bd$MS_<x}8cM?+Xz
zO)h?{t%UBx{&V^vB8_4c>tFuLH-yP`QY@K5M2vZkH~k)pBStx4zr+SZSS+%5Kr^d=
zPDtJGihCe}yrWNVap8u51ep9JBjr)8^KkZlUw(90OrSO^-4M!^YzHewWKqiYp#}RQ
z4)o0{+3(U0ug_p|?lNiwr001w@cvJFWXY&fbDq`^x>>c@Le5JgBP~Pan@h|1o@c6q
z{22xy@Pt>k;iV*M&u^-al^nwFSRK#`lQjUNuu1&;qBvSq3)-!yQHO0tO*U_r=tFP1
zVItkNy@){ja@AyP6g!@B^S&}!AHG+2^mCZ(L3<mw&#LCmV_)|9o_t#lpu>pEy6)`%
z)JOhrrcuk7jn8HOOicih!B^(3HUg;ph3phV&l+~(UGum>BnEf-P71aa@S@TRx#4GY
zn^>~N4@T2FdZ2avKFx1sZe-4oPyMI*56c*GJWedu1+NhvrKw>y^e^PyJ<BKmu>HPg
zvTVQTK;KXzul84F<XI|l)BEl}toE89RBdX5zTC%J8F>a&cgOL_u08)So#Mlal4Nbj
z*uH<YuAc^(@&sfi9N)x>^0{c${r1D0kU{h9feqZG?XGa=r45YnVl!U=T0o`0>~kuh
z2G7Q!!e#vK)?-oCq;<@Xe$ey&x)wM^OS8t)|Hbb<?%HRZyN01-i6kZqE%>lqQA}=|
z!XM}?)4l(16?2#m*7VBLgjYV)lXP(-I8Wqwl*OMFtmvuytn)t&VCB(b&>{EW4Tl9z
z^=YqQEkg1_DXtnoIg&Anz5jx5y2WeXDPG3T2i&~g(5MdUioe#X<KN)lenmW=Hdw}f
z7W4)`Q&xxEPlmN5yNB5KGZCV$w9DAr$gdInIcmTpF!M5p?;R%LRjL*<v4p))Je>2H
zR}H?2a_VFcwPVN2?TtJ)moVjLEQg=Rs{%t}N-J~PPwWjBfvtJ}GIlU9_i-wdDtuqO
zm|)V<hxv9TQ_UXj)c+xw>~?L3kH!T)t`<XB&5bde2%QzowivlC?4m$H_Ot!s?4ww7
zWmD*G+EuJ2{HxXeBr>Sqi@5Nr{5NJpgeP2!tC;l0NjnKqGFWX@Vg3gvu>+E}4k?1`
zSbeU^MA}mo(D~2E=-co#=A4O@X!>kmtsf_)Qgu`y|H9n%+n8C*zM-3Uer^-H!%4WY
zr$8CT%P#lT3eIC`f-Bt$C0kf<E%*9nCkgcK2P9ny`-`Cys>WkBH1LD9{PAZ_67(x;
z?A!Hc0h?A7=9fH83p5;7<{4H>aCO}~_TKp=jCb(PCDS}QsMw#D9Gpso$`aGk3qmW{
z1kJ|3+zongD`M%28dd~7q~k{SV->3tTzLB-oDuFGClMyJ6k(D<0V{jGj+v=yhZajP
zgYv3e{$i>E%%rZki`8vnLP=$PcNSRS`{VfZ<#l<GPi^6pUfRO)_udKTUu1={n+MpO
zz2za;X={3>m<GQ1Mc0sJIiRS#^G`{i91y<RjUHR41<jz8w^$MvT;HgNd#-Yz_cQfP
z`AK@n(Wr?G-NOSX8@$=Z#%1A^N9AXZzYJhAAXr*-n-{c+6Q{GHWPwY-<6KET6NG+L
z677=ahf7D!x6Fvk!XT%_3`YbDbSS9#_YMd^u$gkWT{{7;?Hwu}h++lD#GK*OcS4XC
zLX&Yli2&o|1V*-(?BFj%nVad{4YFg|S08!o<cWy*!dzi4s0o@q^NwE>>W3|}<;)2X
z<}cTFrkfjvdEyQ>U)c*KnLP%yW(43%^gM9Mj2DVTFC0`z5eG~1V9Y~z0-UK5d-bxD
z4^qSrg=Wx5f|z|vnP3_L-pA64@Lv^xtX3Wk$_*(<sE#b4Um!rmg;T4E4nn}N)#m*}
zK?Y1wK`4Gf7VhT7Gqu?625(luKRLe%kOrX(*79;NR9*37C2$WkrkANFyp@CYrswBR
z^2mdQsdjT|wHSQ9_C`XzPysH6dHpuhP=Lo*qn7RX#o=~Y(7CfYM93~(d7P1>2(Nyw
z<W{&!fMU1!-@#lG_$?@qNk^36teB7MwKtM*;9^?J5u2U7=2vpS&s7;Ny~A6bWTYYB
z=+S7J17uLv*4G;zP=Unw(%dJRG9Y#Kf@chc0!$^WkH++O?#ny*{vBai5Pss6>qxH(
zysWg(`M;_{Qp@@Os#4`3`I4vK+vlnvoR5l0ch%uMBTuvzn*wb4xDQQ`)PUPZWfr0|
zK~+3v=&`>dEIwP{SlRK@Yn?j7ytk;p6kX_G{hA1_&UIOz&Z>dT42o`jr43RhcNgM*
zDS>Na$@>6NH5eqH_M0Em1#8#!vNP{VAlS+f<aAyY*0!mhODq6<MQt`o7nEW2vsYei
zC<XKv;^<j;^x-ePhcR=nGB8=U*&b6Q1Gofze@JTp#e2%^O%{~l9m}5MR?5l{z0GWT
zvE2YTA1fMczfuO8xw)~68H(`ZOtBnum?0#-KUDlkLK)7Pq>g>6m4&a}1*`@OhH&51
z_+FY02@E(&<5ioafPf`_qv#nyq<rVD0d^(mDZks`UA_<e<>rSc9F5?=>#8z0vlJnK
z^=kdU{lZWXG0nK|pb@ygJiXkqA`kugV}|O^Jn$m%sC2Z55lpu~9i3H_1O8t9b8L}J
zpg7|v^}X2;N{*Mx_?r;mQOQ?N*3K17ODo$6J7Ea4auG2cho#|Fz^POEzCST)H&s4z
z(g5s7xgLSLBq)t8$M_Ww;75O@n8kP-Ku?!vduy;b)Oe)WTh%S#2b`X<sSoNyW!7<w
zpehE1Mz=!6qc`yY`GF802Yt}AWTV%3vKs^^6I$j&X;E<abm#aNfQ#L0Ppl3L!g@&*
zi%u;)vN{^JC)E-lo1e(uL*;{o2Xeh?dW=ZE`X1Z<bPW1MB)kfpxk0!>v6L*ugkBnP
ztC>91gMb?U@CV^+a4&e(43e49pOEI^)+$}-yKR{kU%>=tgfGl3KV?F^Iu)UH-*w>9
z-JJ8@C+Xm=3%y9$btc3@V<XtStqt!y+&a%P|HHb5W(GEOnGnAd4}(2L8(tpMCPnZp
zV{Y`~qXzwqXgQu|tZ9eKCuv*Xa6F&Iev6Dp9o)$oCe(j2Aup(qA8mH*NAd`!>DY8<
zT#ykJ8}7!NH?=^nqpLd3x)Wn!^x{2@7|=B*Ju78vEwE8curaDF#tO=x=*dPhAmxUU
zF}cT@AW)Rxv@8Ate$_7Z(YO@@y5W=8VaBWp*AD+~V!Gaihu@g2-mk-e_MWlkp`6ix
z|9B0=Z7PQG=>toWxCsNgY^kSm|GPSP9X7Zrlrn*TkJxw0H-G`r36}M0nW%$N(DXr?
z^%>kym;GkV8wRwirzLFUjT#VeRGzUtkN;7>ZSkAHh%{@TehgAmgU4^8bZJ}`am$?V
zdh->GXv3p;rRk+Ad_?tMFXSxaOR^#+KfIaH(JaA|PwJ}R@ap%s@Gq-)jA-GJ9AHKa
zm#tn#)==R3_RsFl)ph)EYjC`;9t#@!KrQJwKmnPThY~8q|KW`SukCJl>_TIyBicW@
z$dJ1s7WTn<8%L3)rXep_5&fj&k<0)xq_4O(J!+ys`KQ=bR^-`{tJskRDjOLF*DW!D
zIa>5?;bFwCHV$+pGMw?(4zEc|IqTPD=~3Tw_wl8CF60qx@%*W^3Jf>4)9UW%LXXYb
zN`K=<&sbS2dw1^q_T#8uCqFSFt}`3MlXE=i<6MTs<RN9ySsIok88D-UoUQ7k@_eWw
zb?cliBEge?>=SkEET}iVUXeSRA0_3wdNxo=@GfS>*)EzDWoeWA+7<-REM0iyy*ec*
zeI#2hY{ia}Xxnj@I3cujw)P#<F(sH!q`~d=Igxyoqs<ll-KcIwl9WfQ1fQR1ol+oi
zBQb~7u}!f(XsgKOre+NhBAFuCNVYs^;n0kSv$z-<^T}bIxJ88d^pSY`o4m-qyYK7r
zfqf`JC96u|0udaFo*vff<3mLWbp5@b#F1tLS4vwb5iD-EUADClK-rAG=?rX=NEXjJ
z&y`Mu<7PSu8(#&HTnCwZzq1tTFmk_svuo%7Mtwfz5GIVaKYX&TN7Cr`FRvaeeI;-y
zycxP*M+CjdlqsiZ5)k_2vihN22}ZxygfoeWA`{hgs$q>R5)Tqi$M29}JY)Ow?LB+Z
z^Ys^I8P@WMTpZ)8c3BxtKMenOZjU$$Oi%unGNFKiBRo!u9aVu&gKy@U8WQLqZ*(f>
zRU#UD;#KCnGj}7FuHXN;NFvdz3DPPeB*dn*@hxs(=YNB1%){GKh{!2%*&;_7d0vk@
z=KPZajneOB?V6-fWY~iG=_@MezP&D`bwL&8{E*oo4FL`Nrb)k%CL^LvaOoS0IutL~
zI|NZ>k+&5DP@j;|5j(@!hj%p~B2F$u!AB0A?B;zX#!5kN>rT~c^J&3=lXev($Rqx>
zZq-7Jf{3o3!=z#=*xJ6xmQGVZ#;52><pvbA$aTbL$zB_rA};+!R~1pQNpVv+2L+vE
z;|=cHr3<Xx>r361M07LD%E2s)jOLcUd~vMS1NO%q?~_J}Xy_*wo#KoN8d1GIZ$<?8
zyL^y;z)T4l4d0#$VpKt1jgH-7e*nxCv^LZNl@Kc%o9Wv&CA2Lz@wYQgADGWyv7B{O
zLI-!U2+~nR9={)MEXo@|e9o!+H4I9q{0n0h?P)nwW%4-TNR|O?PKJK`=ubpWPZth;
zJS&5S@-LWQ`eOjJ#3j+%97QxLFJ^P>v?Q{i8r<p>HH48nwjG`s3dmjK!0PtMUi78z
z$%?<CArSm?+Kzbb=#w}6@8Zs$*Si%COzhd=ro?ylV_b45irMfIV&g{^BJZsK&Kp4T
ziVgKkCIOvz)Z=%cniKU^hB$V;Fo0g`rU%l3G6>l&1y){RLWM~YDFk-|a5Si-nqQYf
zjxFQDYmD1CrT+R6)g6v!R{sojUy(o~&rZ%@P7Anq)i&e8jt*JXpm)ws9QmwE$ILVj
z<3D~|UV5*f4@KI1i?8~`(5e$tvvEWNKDOIL`CRpmp1J`7Ui5p=+rm}Rf9x&T<v+N%
zs3|}Y)AN)bYhiRFD>{O=q8H0$o1Un6ioxfYuWW4}1klqLOdkL8N3g1b534yXdJv>R
zn<f~@hXm+OT`#v8$1aVm6$a1hLO`{$!qNdAL@f5bkz+ZD39DHXL`8IABD?EXLm?;n
zVJJr0{5y%Y-DB+Lvd{t99_#d6VKy{!oA=~w@+5Y1a&9F&RvQ{$Z7%kYGNYqH(#u<C
zCoq5g3+9K>eqg?OL#KHcBl4Rb9i*@Qjj7wXH3Ty3ha|(GcN0-`XdtxK(Y<&SOGykZ
zx@Sd&5Yqyi6BrFj{+(B6<uZ&V#S{E5W^2KvlSxGL_)Wa$Z{BIr^Z@orZOx`{K@%Rl
z{d&rhe+}ol5xE`S-Gd!J)^q5bl_ngba+J~VEaOFUjqQFzKd^1DsO<F;4Y*b(z`yVO
z0`747es2!lS4>VQJXw=h14<`dW0^JP@xt?d)`wC)V*UO2-i2^=SWAKv<#%UrF#npI
z8ry({+B@Fg_^k$7ZJq**)>F7i$H4CF(h6*fMel(0F*R5*W&Rd>YaF)>nssGPO~EdH
zn3^&AtP1f9Er+aN4BxnPAVbOU5$-V&EJig|1ru!sCke+9JpKdk^DnQfapwr8*ZmDU
z{F>qj*J&HVgEP5&pNlr)C4-LxMT{tLk^0{Q+tfk)`7Ar5jd&~mWIo&d(|a;dQwOxp
zJRHC$iG?|J8(;9B#<B%{R%A#t^lo@Q+>i4`S3GPx_6-lZ_G^#EFBSMGz}(BX*oVhu
zSFE{}|G;%Z_>^l-sX)JH$SW4VKD<~kEvuQQ8xN{AHm;dbhN8AO#v8_cxZ-zmdUjMF
zj!GJq*aelrdQ{ok?m{2l@zas>8|@(e?59V&p&<!gm23WLUhBhS-pjk5?;OIFeo4pZ
zT~LCL;f(_At^GLu=V7e_K7!X~e4XhoB|`XtKaJmm2k<}hO#9m!$ME<ki!T4B6@icC
z$)gpyL7XXri_Lv%9FJ<OjJc+w2sO!a*GY6k_&lAad8gJC9;$Y-*d<H>US}2_{Yx{9
zCtOkXFfaduuTI|IedfJ9oU4rDG9!%OmmkCnWUI{KIUUN>Y!P{|5mG#WpBu&3?`goN
zf_a>shEsebNDk85wWb56#_-yMF%^HP3wZ4E84k)9Sx6b%)4QEGjvJj1?`2+G#NQY6
za$lmz!ix{bA7y$@;%1SY_ac8R<00(i?``P>$n(0si_vcyml$GY<(XK;8P|kzq?icM
zIHrF&rDO(g8*sGVP};zoLU#qng~$M#+nhyS>KtC7($zfs>>s`$yf;l~MjG@Bm}q}3
z&EvsW$p!b-Xi(l$9;?~Y(!lz7vHd~#0)8j=>5zFPEy^5D+t!<sf{Ov4grj7a@GfTj
z%Qshggw?+7HVTr07lvPI0%=z8;2ip!M<|S_I)IhYZd(%U1*z#nyVmf!Z;#&Csxu?|
zGJ@adWJw6*<O!}Y+rWvRI@+qw>_Xf}Dr0n&B*DZ>H{wwJKRj$}<>Xv18xlKt<)dMn
z1k{Py%^%aFK^q*OC~dbn5pyh|wIoaeP_}k41*b*e#MAz*o*M<fso@S)l7PGG({2`C
z^eENMdHIniFM2g5!~JVY9MYv-sEPX-Q9{bDtKlmAsFtbywPmF^XjSONV7kmmHSu$y
zw1Ob&_|iwrzby`{d%d?7&h0`<cf36w91%u^XQn@}g@{9ke|BivFdMRftIhM3B8ZrI
zqL3UU4o~{|W=|$@q7ZJDG=iNN8fS~jF}W-bUoSeZ`P6Zv;oD_-*9FAU(I(-%eWl{?
z;uYVYCRbi0QgB!^K3@VcQ%Mz;E8;K_DHEF`#gDG|-@OxLD}}tRc`_)T5@4L`X8V>`
z5V5h3<T6Rgps&&Dza%##Km&1}C?^S{gsxk!)P-cx?Gpx^{tc4g7uWpxZI}oW5cSxH
zi1Mh1`|**WcT#ZgdR$Y;k|-*8${yV8u83x~uVlut%7EAMQ}OKleaKg@>)GK_C1lt5
zsAVpT0B-cU{B|IL{2DHt{?4R=KG|*#g<O||=!bJ}@|q-3*qk=^AeD?>e@Sql=~RFw
zeKy*)<I*T|qviEGZwjI#CHB5Z-0@Kb5tffQ322Z#HlZO-6~%i$`ZndJ0!-t!-?iS$
zBEOdA#JW3bsIDtHKv|svwSrfxjIPL|`Mbia0siX9mqpS$+Efkr&M#!k?eLx$^@--A
zfCh@MQ{xlb@iW7^aaUP~iKw_<=^Ohw4V2(l>VJ=m3TDAkLTtVybm?4&t3rqdl22@~
zI#8w!HeCNzH8(1w#j5llANe(qQ<`z*imM(7@kBUC1gId*SdO|_Lv_^PZZ2kc8GzK6
zvyb+N3QE{}ETn^04V6-#J~;4BACB(3oNLBSM(1YT2Orr}5Sxgr_2u6NP#8&ATofcD
zmvsB*$+jv;W9^;qzFtG9Wjw!jY+MC#3iNlJ;Ul8IvtqBrvy7mD;CSN7j-LzgC^rq(
z*qLK&d~4=jV=x&#dh2eFG8(-{cKBl|i9!s*d#pW-fzKtJgTbDJUM`(gYTp(?1A57~
z!~BdPaO%*xxywX!g6J8+Bf^V5?VFcdF*JrzNeN505Cx=H^SSzsAp;sey(&X9X9UM?
z^XTas$RYC#|3feTPT(poUb`A1jKCqYK6ZUc208RQb_I%zU=CxpH7fIlu)DpTAv9kK
z^&9>T<9)V?DQuhf?>lA)c@d*_hmT00V&4%NrU#5*^UbTR<Bb74?huxhSKW&i@0M*P
z?qLIo=bIH@_ZYyh8;v96+1+R^q}fPUhzrzHZ_IJT=);@Hu_w1C1(2QHXtU}RH=Hw9
zc+WZs;Qb}qqKL?g7Gi(R1byOx#=?bRZ6^RCJ8e&R5C=-+Rjn_#<^}$IrRQ;vF|fd@
zv^6A|(f<Gd0RR6Cmv=apZ5YPwy|<9P*ZbQ0IgO7H8D*xD?9fs)?1Z!_B&ld1m5LDW
zqtZZ1iAW;JR<b2N|6a#^+{ba<_jR4;?>v1`BaCuV03P1iUk{d8pt328D<hDe%$VQ$
zhAvwGtOxXdR@RzhPflWs{q6-C^L2NhU2y_fq^Sk?elf#m_Q-+*nv=AhK6xIxTLds^
zFyLdyW(J2q;)B%ZZkiDh<>IFx02lvB&&`&m;8W_Px*xkkY>f(P2%O;ur*p}<(Bmcu
z>ibjtNwk+xEe&$&Xy!+a+A;3*kH+xGxGp>(HAakSnJV14$B%9bG5AT%7(28?d^P|5
zA%^&dD-v$-V^`QunTr`lXuCR1^8B19687+TsF(0V>K}E4`o|EnlSl7%_$?C|f_i(e
zH}YfniMI>Y-w@ftzdUKCbPzdrKh0~NA9lt+Q;a(e@b>U-nJsb*@cZ{<#v1})x!p6%
zzS#ilgN2+vjxr)g%l=CEH39JQvsTA;>f^#Ki9<E{%<$x`|0^dUh)D<G?a}`Fu$?h#
zpRi!XuC|HLg}Z`KIKgE9Z%PlYWj4(9oou*oEtIv{M+i1azmpWw^)Tqp&M>>11CqS=
zALYsjLu|@Inon5|i$@>YerM!@j#h!FD!mB!&o;8oH|rv=bj#VGYuu>gA2tnK7QqXp
zXhXReT_ms5&swqP1<N_Sxi27wY?HqmC)9Nz#Ox{lGl37o>DME}Y{W6Ov0>M%AsuXU
zndov3;zzCOo9lz;)`5FrUQw@12XhT+u8ST5xNcCWxZ|$`BHnBrZHd)EMJW64xXpsd
z`fkoOlOP3|=)&)ot~$_A-)8Q%LkOP2D*UN(()g0=%<rqKgM?JJ=%+`75mIz@qBBYc
z#Mz@`3o<(3zx-IZ>y`-g>unZ4_{!oxc`<(>2_01Tw5gpL6vc^Gb~%}w<q+x{y;3Kq
z1ILt?Vrlx~C^3y`XZM!J=P>D)62>|>S;Jo^pR*3RKb%X4gB8FT%<LSvT?cYX<u5|H
zC2@CEqr@Rz5%;bQUHW=a2e)>Q8!co>f!pV3Mt!~#_T;|hZtBy)$6E2dzci(B_h7`b
zYMnAXg8i9;EOb#?EjtkrE`!ofi~f&$RFE8g!0^L;T`ab=P~O?f!ZGC8aP6EbuAgmv
zx@x2cmeoW4CCYM;=-R9PoLL<ig)X5NJN59~i1tF3OCI%J0n|7~4Two~ws&OeLxqwl
z@_kAkeB3HheZv~Cd{n?4>tz7b*+dno4h5(`=o_*s*Tm+%Dj(8~4Y44i)t>%X5fXXa
zKZ+f-fIBBm?X`?xQ?yGaJW~lVykAvWs<jXw5Z}(DXN;W+Jv$0Ll=0<^kn8(NEo6?U
zt{B>x;Au3|JsPhH>i7Eo4f?5t3~Pf)#Q;-8N1C~tK2(8UKq%egJS~Lpd#2%%WCqph
zLnqIfsp5THvuz!l78dlEmm>?zvEMklDCL$a=;(6Ki%>Knl-M0vf8PSf(ghklf2(3{
zSxpXt8qlkg)%L6)VDn#_Kc|oyB;$UK)m5qCYS<l4M`z$gGJVJeJ~f;-j?kV`R7ISb
z*`Mc+fZ$WJ;`D>65HyKGX^1kEjvUia;;_V7)8)gL&#7W^OnP&2rXp}?RJdZJC7v8I
zTKO)j3i;iC^ck+oW9zuZkEkP-C=;A7jz6pdJN~_Q>h8*do^G&7@1iBbkDLvcSo`nW
z<r3~I8PZ@fa}~RI#S*SJ-biWwP{QBvYvqyy5~x)9qWAXv+W8gFL)9~i_>9n+?FYqB
z(^c$s?vN!SCzW6F%_t!8xLyy<O&CX78?TK!Sz`03v-p`Id4wnnZ_i8=0Dau#2)~#m
z9{1V33}}~wcmu2FLsmYt^**{}_!%&ZxSA9|lZAcqg3^^1P6%n+2^~HQy!j$q{Ig63
z&BRu{2L^0dQuCO3X$2gx3Udy&l*U)f_2a!Z%t*B|UVp8hz@N5}x)D<;*cY9xksV_|
zvw6Wiej@^@qY}YU&JtkUAJ(2ML645?xck;8E#Q9FVb9N_;wV1&_-**<Ric&Sj<Uj6
zb9}I*DX27wLSQ=jQhWVBA~Qz*xPi7ggafa}iyDbQ)op6$c<C}B#-nFZv^FPKe5Z7u
zzY+qw3g1|q=`z7{<@ke*pG{G6bGk4sRuD#9SwB{{EE5OuR<xaBip>vbt@=&^2$T?i
z-uiQypf%oTxu0o*M|Z7MRjv5ZE;4j|L(f0rePa1FgK=Z<r<~D_^yC9WuGea%@+u+s
zc3Q7+lQC|2#RuFK<;C8xp6m<T=s=T0lt`5k7-DM}WuJ1RM7HR6u01^l_j3kU${AsM
zUDA%ITrQa337QCSWk8`{z(n?WLuhROPolYu6LAA77E${dF)6){;}we`{OfKd#!hqK
zO8CBcxpF3aUv0kW6K{Y570xq*VH|izp+!{CvEYdzbK%ZqeI#-2Jy_1i0lV!@@eJXt
z2zP4@n?9zG!;2X^D!#Mh;dzg9=O)<TvS@ukkx3tUO~;mnzp;ZWQrKu`ItR#a#@-@l
z^l&=#@E&_64p<HKgbx#3cr1RHdvv`X5+3EsbGmZiSMrXb1pyw|EG{v%Jk&*l|Ha0T
z7aZU{maOQ<z=t_btBBuDx{%gu8L0Q;#5(?{`esgkG}sIzW>4r~U&j6aswBB!TVU!T
zt}K9U^IMsiFX&*H<%hm4JvWSPNTsqZf)G5Y^EKOIO>h6rzPicDgQfMGZY<;oVO!Gc
zk-NXCXubAQ*u#t$fuX{6v44bN{-|yK`5h`gl>RPbao~f)GqUSefG9-k%EtV|sQB$T
z<MWlB9}4?!{+XB%gXYl`4rN^`v<FhP%zF7TTXfhe|NJ@_)in7uF;T&F)~26)B>-*H
z*v?KjNt|pkWR~iqU~6!>s^BX@>^f2JnyS4XTNkvmxn5F0Gvv$e=@CM6()QFmAsJk}
zTrgZzMZxbFhm3l55xfdgJ^W8v7CZHPGx;kiknH{`YU?bD*QSvgCB|~tbU#zA;28xJ
zE^oE3C1RM@ag|%%ArHSi<*diO6g0DBzkVXU4jk9&vOi`ipzMNKYcD4iqtcr6FUlm~
z^|z`#_M;*UXH7$^9I1%n&~QHCDg~3vNkq~*Wn`}lwi~@l#i0(T5H4<MSi5SVEJy{d
zhW)*=96E3dGY<V0DTAI6Ns;FdRYBjN|8M4`4l<KpOcd>q1;a<@>f~iLOk})Mf2*Vm
zPTk5H6CXKPpZ+?ZZlZz5EVVK(zv$w$K{s>KnqOuN)4MwcX@YdzVVqj3hbQ0DOq+Za
zP@%YYMe&dpMnh$X`7Y|i$IMgYrJo|+OOFVi4A920Evb&#c?Qr*OY=S9s|3yQYfi;{
z6v!T*Yc{JgL})>%K#Gepk{i-F8Qm!m2;kqhI&6evmpOTE8>(RZW2MgEehTRLmpzWF
zn}F|Wf@(CUDk?q&{v3>?V4O7|M=I7796X<sbYH51uWZ|c%b*}@BL3fpCNtdI^x2BK
zQw@49-x`@(wGp*{b5N0(1s3)dQ+T`8z?+xrS@v8DTief!eD@~Mw(n%Ukg7T!wvQ>^
z2-Jkvtak0^HJv>5xq2wsQ5~-BBaael)lqxy*S@!J04G+h>H!ON9E)yldiq`!wilv{
zL@X?E?p~Lz5raDRQ*tdBA1PxIX9u6<TSAL-dw|SEHE6mnZ_zra2>Q~#?4AKj{5({Z
z)xN9>lb+%CY^w55eWx>*B4CB<jQGxCvgVuh9W4yKGBD_5n);(+g*_WOd~Ug^Aa_xx
zpTj{4^QVN|JlE>k(w9rJHY&qb(t3zrR2-*g{za6n-J>ylXq}ao5`L<dzGgHMhN*4;
z=h#t89PYV$W$TIp{xfxHaj)gaO9lq-><UY8uDo(P^jsbcaa(T%xpCv=$lJx?2usjp
z)?aK)mczTfQHhCcY@jf=-?x^w#Dd{=p`SLgC_JT6!j#Pj!SCTlhHLLL)VbV1<CK95
zn|39A_bMU0=c65CB*6DEi~8+}6td3$n%_;oM4b9umyyW}<is6xOFtk1xn{pGo+Gow
zc;jGN^)>=e`^Dd!-Xsp*((kQ`(tn7AUqa{Hu2|rMlV;mFCs9nr>`eT6@)r@uyV0+v
z#~ci%cPb|L2qWNu=3w{vabo%WS4W5S=5P#qls8f%i0+4p_bj-_h_Gpy7jrw!@Kx+k
z{a1AXlnPwm?frC=NLX}t4lFfA)APBNu;+YuBK|agZ|E2yHkQ-1I&T8Ivew<8=fz2T
zHQvs_apLAa?>9{LCeX;9G_ZQXh1~VCr!I2*B1Rb|K3*s=hC+@)?CBN`<WgUMUik8x
znAIy^sai0?JCjnnqay4$!_oK0C+rU)y;LqA<!OWw1HJ~`0#>kFKIMI`G((Jv2pqgu
zV~BlbgGn9RS&%a);w`{2N94Y!IS?*qh<LY!`aDl&%tqZ|4B%ZLRE<>1vrZcz#<99=
zAdv|VjvsG$qPs+7-HyF2wW^Q1L8<9(Ul_5Oka|!Zy-bL#WK;g`*T;cKI{uG47||<K
zw`tF(6=GDm&qi@V4-X!Mu@~_&qWHoVZO#%pIAtAuekn{3t#j+kw+=F3u+m0;W|1D4
zQC)Hy*Tob2$G3icV}LX3J2|?ojCh|jt+{odE(}@-<+6VaAmm@zNq%5LXQ91%{jv_u
ztou}GZq5iXji9RZZ7evTzcQM>rdKS?!Wku37;%gCQ@@>&4JMXTTRPY4fZ0AJ+-*G*
zZbY)zG`(QQf%N0rFDt2tO^uBot7k%k?ow=Q5hsp5<J5|Gr=o!W8cRYvGj4b}{ZP2c
zjsA@TcKWjvZ2xpHBzy-8(oejdw0X;m>U(3R%J~#Du`(%o?qtP~NjN9T!;jd=R^MwI
zDDYg6&ooSBgK0<ZUAHyvxLEMnY;{%}BN@LXH@s!XuPYn1+=>LDIv_*0BUl>=;PqoQ
z=0tammuG{pFl;~Cg@&#1a^RoG->J=9V0hJV`Q{A~6#0qzx*yPji&nYb)8jl?RLzrP
za9Q&;agF}t0$T7+^h*iU=Y!~tEB>V9IxLy`N0dC%M5ii8@n#EtM0{QFy3Hwx>L(lH
z%2PE_cO>c3*KGngwUgP;X8n5H`<NKsvO^QoMK&~p96=O|=}CT9lfiLU_VM%Xn(%Hj
zTs<=;gj*ahOT)coF&9jGH0G}fU5;H7Og<urH<50y&y&NU*Mc@OXEf10{Lts*4^gav
z{!-ASJjSQ;vcB|c;<EGVk*_Dk@o;lixR<*kzKmO~Ds9n%d)8s5?Jg2HclaR7>sLzn
zl9(>IV@?ZY8;$aosZuyM7<}sA1{H9uWELvC(grt6pdB+s8u>P&E3zL|VdeAgqgW6H
z+G-I?aYZudtFzDJ@>d7ZZrCEmOoi!*j1Pu&vPd)+<`Ep%z}dYPQnk;hIJ0nz&$~|!
z!#hrH8VJ|In<I3$-WIOq$FL4wUrq&hd`hw3)1eK{z405;3UzVe^^2wv6Gc3hliIOz
zhJqba>LIqz^st*rC!{S*35k35)!mk&qAxr~-iX-%KaXaH%w#J=iYdQM_!Jdm69fMI
z!G>rX$p~?&RKdD`#y96WsB3xWZy7mY1P!sE9FfMge!M@W+s{z(P0~T%G};8@8{dsR
zHEM{uDJwhOOGQZG?%D`JGgMoaiu^pIj`TYr&qL2su{kg4ng1hmY|$vn$TZVHulmcO
zZCq5m=$KKwzL7xCS^v$Ct2MCnaPxadCkk4wj$Qv94A7<A4)>tf#1K`NIsJhaVj?-@
z$JTO$>(u+%86HhMyEJigDog`G8$x38AFkCIj0xU84IHMe`(56p3a-{Pzpc7f@R{Er
zzw>|wk{ds4cp#(<jv%4O16gYZc_H-T%3F0zhq^@Z=_|m~W1%vm!wM<ICneOU)Ib%R
z-#O|o3(<s?|2!6~Fm&EPM)-#+YDIYTp7TlJQlWfY`(G<W#Hc6vm8*c1NljyI5ryBz
zivw)~RuFNnQ$OpajIyctu2b^@un>~}KKIZH>l1XxE{!RokfHbK4QFob@99$6zQ+no
zI}(b`_b4D?+dcN9&CEzJGnO-vvVzd@J<WBKa(L9!l6~ak3UR&S^oO{5OPs&T_ain^
z7G)}T25c}x+%Elbr^?e3yqO7Ur^lp`)zjoq8#zQ=oyq$#I0kH<iSEBIC<Xdh?SUBa
zcEZfJxH0A!z^Obt7UQ=Lbb0E{4>W>lw;#L=apwUv8Gf67Z52gs>2gKO>$fz&R`#qa
zf<UvnBIoyTVQl#GXvlv2GwrLrLZf7m1^C2XUFbFt#GP#O@F(KmXeO3vjf&^YA)g?@
zc8|i3%h6`}*~0y_S;orvs|{vgI~(d?UBLsn1M6q10{Uss_eEWqn>WSyIp+iGw{har
z+r3Y(*Z0xn3;LVg^-OU-HJ8rKpA8(l_%gP<=%pPV>0_!mXo4s=*9@mBW^AVuEL&aa
zrb&6-5B*hdjJ!>0!QXutaeAb@?A*}~+I6q*NnKpV=pIXvOSh#*<`PTg%_D6zKk=i@
z`a6tZN9qzfBP+yf>1RGGUax7Lm5V!GJu!p}s}t97{a+%v_d2z`rG~cWWpcKgh#^v<
zXHA_L7l|^(_g3#OpQnklSFRSs7~s5PPBwkn9ATEb?YBeh10u7sEivYsKFT87gEroq
zArx=h_(wf@PJ}Z!7Tt5uhrtl<Je6shXx)&qZ&!LNv0`>DRlG(I3!fb?#b2Ky<Q9J{
zjpnx#+(%DlpV8FAoab=F`=sB*c(=rn^uaD-|BRE;uOeN%dJ&l|ZvKm~<d!d(lmAA{
z_<Z6Nm(j&pr-Llb-zEr&irbyvwZ9X=f~GoC1v=<SWl+o=7$>Im5Fy?6gXp{1Yqw2S
z2cMKJ7CMP>;?5%l3geL>qVq`kA^TfY7<`L5YB(`Q=&78Ni_{$@7H2pN3Mf?Eit!sP
z9~>iaR)6agx(Pz%d9;i}9R(FEtOg+p;{-b=<9yM`FX8}i?Ju*n{a#hG8ZIjyCpO&8
zQYt?@MeJSMuJ@!iPFo$;Y!8|sn4T$XR0>ZMQy!7G5+}5fT?sYaph-fu##4Og%?vT1
zu=7QXj231-O+@nE_(dGjFquAdd5%bsT=lx`t%>!|V#eN_{!Lsm6rb!ny+A13P6b=8
z1}rph{Rs%4BKBy8mJZxrBD~AJXD;@tL-ObN2b+*TMC<5PGHY^~c;;f5>7%BOkw2NN
zjj7W_CI9NCpujZ_e5<_Ve^d=W;&zV}zn&o&HU!dg+3Atywkh*vyDHwXdb$cw=7{N2
z?HiQh84xAz+;CS{6_x#)ObTi9#KD$xRShCc*nH?zoMWyEtiC<TazDICsO9iTO13k@
zIC-Mx2eS&U7<&$13;0Wn&c(jesbz%_<CBLUVwEw`Z`5=!{vYwpxN2d`dv-|3ooGy*
zRf2Z3`jF9wRbtZ6^_8X=7gAcjvYd%k0$;N8gJ23h6!Ny*th>a6%-udOFS95ib0j3k
zJ%<5{(OwHWC4AWA8Yqx@MG-9z^q0QKGr`@f#e7Ot09hO2_InbFkUKQnYu&*Nl=B~z
zYZZh;F%y&fgaY2R=ZA?rWW`mpi?o?sVVH;-^U~c>fQ$Dp1EqR)IELGudvI11n;m_8
z4Gt*a=N7%djK7@dzpVDH{INLdjBWKbToqvdh7y$%#RERM0n&&|5(#wUCaG2ma8nwu
z*?oo&4MSJ^_g-3$<{wd2A&v?Fhe!1?ivac(nvV<Kl|ilD8JUbI1xVL#lJ6`Og#9T8
z@r~+oSTe8b{qLay=t{hV9JULC@!LK#{#WwY^yR;qyAp~}*)U`hXCsOc`IDFSCMZI&
zXu&qOToEIN$&a?Ui6i{d#AL3AGIocb&@J7kgtQM_2aq9wUbldxR6AAJRhHe{6s3&r
zz#M{UVvPr;WOf#9Qit+BN%P_|6@+z-+nJinz~_l`@UBozaP6C5bkbErjbljhg&bM*
z_wO-&k*STB9;3H~xirARKH{~)B9B)bOE%%16b$rOzduN5A?ujp#s1?8=n{{YzS~EI
z{8HawNEij9be5-l`IW#>_f^lVO9!{PhYX(#Q{nV&{3CmjGO7y&8h2IdB96T{>e^*p
z{4rXs`eLAp$o;m}Kf?8pbJhRe<3xS9Y!sVWBGn*gt0}s7Tn}o*Z>DV*4N;@;tMId-
z2A0#_7+qA;$A4LmdZ=y2*tIZLwR?@H76RI3X2tap^}g!+8AUVHxb|f|tkJ^rS1)%q
z-Pc2HW<W(rk_9>iUj#*zX``Y}ojg6F3pT^8=huY+pA;mnb81kK$J65&^g;*0-8pCb
z6D@I6@TOL>Hw9<1-uN(WpyE-a+w;I<Yd)JAQbY5h;6qkgcqpSb)Z}|SlHIH^@Lbfh
zRg;2-%xJboHg)hTmI-ZJw8qF~&s`nG+OVtJsu28E2^%jm#8^exVE?-PDFV4#(Avd#
zUoue+_g1aA`0m=^DeYLIzJ(^zo*(d1x-N+ftquqAS{q30dFW_=O&#GWxhg`hgs|71
zB_b`~2BBJ)zx%J{=LGTd%qpAL=6bJ0{Q)l<=vKJ(M|LaYa-rAkznXtUk3-0#Z*$gQ
zIMt!4*s2JD11#|u<@$*Uqh;IXcxxCRJ!m3bEstG!xw~wh^wUygbB?4hS)p?*KG5ox
zER^!u^$x$9qb2KfU3H1Dg0DSW%tsq(JRZE`IoU`@TGj9_@qD#JIGyL;oLv&gcSuQV
zZDJxHl|5C6a<arUWBYCSYEgU<`N;dXgq5u7E{Xn20*Q@vub3Q!5WZjkoBkDclEQGj
z$i*0#qaSt3lHkYEPTtn)j~wL4x6Y5ZA_=UE9^ON@oeR@mQSDuaImwE@DqETkT0kx5
z^vDAaR`4~S_?h{HlVn$#crS3$95D?Az48VOIF<Ik=|UMNDR(6;TddR!Mjo%bUq1dz
zxJMRbE$rbW-%Gr+(&;co%n;*4vVWSeS5*F6y^fO%`R1vb%V`Sd{HOr&rz3<bv*W>(
z8V+*3mG-X$2NQJi#pzb~brT6%)L%h<9Hh&Jf-Oqtjj^HW^O1KO?h!%VlX9`#9OO-h
z>HN-qBb=;0Q4QVqv{kVd%cu|RB+Giw^aUd$93B)uxm~uO#&V<YhIj=#xoKMa0^=n^
zEG198d2BmEGd?b|q3u39xx9{ZSNdNAjISIDY~S*m)*Tez@S%;JJUe0&t{r56&&TFP
z*`G|)gq_;5(?vN*-rg+1@(z92(rgM}f1aax`&LM{CUcPar+!YgZq&zXrHO(!jf*sE
z=kfQVVw@zSoriq*YdsJhIlPr8muck&*=@z2ILXS`%L}3QdPq6zv(?;Sm1dR_CUUio
zi@a3u`5*0_F1j>N3kna@kt}DE3e?-UN!g}=U6H=JXtyH8>!=K53Hhh^1V1l%->AJc
zX<P?2ZNrypk1~?zivGd|J~FmX_?T$24y-*Z%7foBk@@*i>(qGp$*q3jpWLN&pwlZ^
z+@Z`umY(SkWS-|I|62LlMKn;cpV4sP=NVSA{aDrVxdj1IUTFIG?NBQEKfZBuU}q<{
z<fwap6A~h8lf*@R#i%gpDpERqiG$>cGMnRf5+*x*59m+4rND5nRH2*&7b%sm(B^kt
zgk)K=qwmR};8F0i;_Y-iq}jQ<t}DV~WRn(_YBy29ps+vVL_aU7YJF8f{f;<EmOZaB
zm7>5%Ek8Nn4<A`8G`El4PlBuq_r2mYtPKs@kd+)30n*#klFZSOBI)*AJ>OQM4a=z}
zYOj_cDR@xwN}ifDdE%J_zf6iYZf&sexwKn|EILh*tGO;iUb>fmqwt_McAK^x<!BHl
z+t_k*QW|8*C*e0j*pF+2aenBnyQV0~z3tAR?UWq(cd!1n9TnQR%QYM0Q6WZV<XG0L
zP!-5s*2#hY=qRwhKJ0kMWgU5Z^XGY5yds&^VbN7>O2Lm$(VcN@k|f2tc6q#8iCpIs
zWbJa2g5o!as?)lp$nei>qYnuc@<v^$)6*#mwh<N_9nYjmGre?Xp%PV+$s}8HaSs(T
z+wR@*=$9cI|J>QpC!|h_(5i!nIds7CVlI<9CQF8i+@HP@t3eLEUErZM=)nI_;eOG7
za-`4gYg!TSHA$ZOSK&h0x-h8bolFo?AW!=LsAb{PCL?MY4x60N!(~yoOH?gIk{UX=
zX;g$lp7yr!ICx1PT^y>K8n#NLV%UGxVrM9%)?eL})E5R|?4mH<_f#hPH*7QrAEl6g
z&dGi2;534@dD2~LKNYg-$b3`19F=UjRq}Xas4=p?w&cEdQ6*!3<R|&+P)UcW@+Rd@
z6VzQW4Evz2Mshw5_1-T;B{!=dondq~L+5c@;mbp6<nH-*2TB?#q-aKYA9JHQUPnCT
zDLJN24xHY~nqxyD{|5j7|Njh^cR1E<7>4bgy|Xv3@xJ!{-DXizNP`e1(WjImR8lmQ
zQpze4nb|3kem6-|W;9SqcF5j7|6YGQ&+#13aa`whlE+8fjI;^(V&k)eZ;*m>DnSLV
z3R>7>v|aM14FGqy%l#j+>d5yuksEz9@ZN*nugZG?c9tFpy{N2?hq-Ub_&8IrBj8_1
zXMhF7*weeq&QZ`Yb6PKsQ582FOMD^UZ2<xg1u|dUq@cfu{EiowlyKT|aYw(7B@}Ur
z?A$i1hL?vP4sDo`$Ep6`au{d{va^v^Srj##=r>Ec?<I?ahc7V{UAF}6wi%YuS4FXC
z6Z-CINeodBEgX%vgqDWhx_uHVXvoFn=e#6}HP2>Q$TOB8M{yCZ`J;r3N2XsVB@1HX
z(&DVF%X&WjXw!VMA_`{+7H8!0qE@LwMVP21xZp$DQ&2#ACq_f@gB*CJ*yfA<Ckyzz
zbYEBdmmH1=#~3aLGhxcj5&6kb3s5TB^>hBbEOI+p=!ed&lF9-Xn4&gXz))pdO0|j%
zzW-2mPN8#_-1(@IBeN1fSkE!{#1l#U5E1#IasLE)L)=&HsuRFo#a@Qfx*O3w+c;Uh
zt)CoopKO@=Ou&}Y89_v+C_YFSHJ_O4A<YL8c#>EMko4!>^YMW&mZXpSKdf#inN-^U
ztQwkw*jpplN4EuWre3h1;M7Ml{qpj}jX*Pa%l~Ygt&|_TKO}Mx8L!C&FNY5%xu($Y
z<d}lW0xweDxwQB-y&@ZL?Nv|eH-Y4itg)&NZjAJs*||#BKng4$ot{%Q0oUKJvtM#?
zp?jQ4ew+ITGR}ey&mK1h{i>(NUvIKw-&)Ic$HW%$2<5jv6^&qeIhd~BgBAC|T+w(?
z2YIyHGHHq52<8WJ89k0O<8ptfjyzKr$?eXnQ15RDPGfEn*BTh{J0-I<lJ^(+G5J5{
zLvIW~yX;VLr7Hto6E@De;@n3Hzb|tkRSe)-K*4!iDSBK=@ABV44v_f`VkNn8`q1vG
z%iknQhui`eLnOA2koR9ywbL!=f#c5#yMq^3Nvi`Ie;>|_kqzEoFXtZ8gI5E#QuZ1v
zWWH`fg89CGq)X9#p^M*iq0^9ZGC*;eq#tQM)#floLO{lu@EyAFfJFCP-z8Gm_wE4a
zwi&Xvwe4ouM;*|QcKnq&vPkaLk3DbTHAe=&@|`}mMF$oldw<jyFOq9lZo=+M3*;eN
zS52o++VF?!$D^~Jry@rg+ne?C7Gz1Go!St7OOn>wzesBK<kkAguaYYS`;KQnXdspC
zsAlT2MAB<s6~4Tk4x?7284LnxkSg!@plW7`^b0ZQih4+oCSq}o$#gUb9E!OH@0ZE&
z_#mZy9E^D3&8o=oT`Jt&`cL9O%ldo!{8JfYnNVv_xQ`)?3T1Z5(t9}9$UwFhuS8`Q
z%(P<hG)&imk8~HgPMOl7XPTSg(ci4tY%V11-=_(Z4sjgh26}XVEy^ZV$BsghaxZsj
zYl0^z-ichK$I6wDK5lO~@wGf{%I}H>FeE3vTV!O!yB8JG_2)KVV`AqksbO_Uk5IW=
zPGLeLv!DM>s_~-5Wr9w0r#fWU9FIPEf*G?PpVS>a!H0wgla25P3QSpD^xoFZf`a#R
zTfTqc$1kcaos13?=uj~^c0GU%uZOhfsJRPb;;|e4i{I7YsgV0ul;J>r)j2^YI$^wI
zXWe0cS`9Y!NB5PkapF#=6}HwlA~^Y4v@=>s4HPQpT|GIuasNtipnQcGHl0g-9sNfY
z^s48x!sK~TyZ#>a(ff_~E%buU=}J|&wp#w`=UzT!@H*ii#UX{km)=vyGE~7+c|&%5
zAwNn7Dlly}k-^gpDIdGDRN=slfJ?@bf|yKxpW?YJi#G>0N<XVtg@)T(cZL)QA#dX6
z{NE#T7@$S}){j{Y25$~Bl6yq3?HZkTtgix2ywBTmC_oLw?CuHKtBRo^v3N*kP7x<0
zrud4M)Id+4!(>u?Bf?B|S!b#;ZmrwB@~oNy>W`*Y*|j9`>isi`uXe2Wv+#U&K&d)B
z*tn2KIVg>t^#>-d3sUfwi{{?hUJcM&et%)DTLxR%mOg3psG~BGFL~2d3-$yL+l7nD
z;iZb2h_q}?{Fr&dgYOCz_VQIPF?h-2Y+TX#W*QY6@=29L*J*Himi<e9sRGWutNv)u
zM8he!=`r~#ZMf0ZrGAE83DNF_J@JZ$6Km~9*m-rKc!&ONcW-6<wU2L1##b9dho5(C
zi_?Q+4fb+V6)JdIp3Wfsw>Ab(#eG%PHh{N^Pi&tqt0Mmc**bY`9lTyQY`TBe5Uy{~
zb7$3Df6pp?ar9;#jNog#v({=1wES41P*BIN?K)DUQaWgLdj~sFV+wu^JXiG9G_dQK
zU*U&hZM>E9v*%5YIdBvu$fW<$Ku7A1b6xW^Y_~Ly$+G~+tIU@j*{6xw;|4L`m#D~B
zvC{cP+5)O2qWy;xHPOuHOk2|#Ej+<BQ5D~B0qI?g*GjHx;^Kw{i_#=@4El10dmzpd
zBD(w8H|lEQ;|zg{6(3c+=j1XJD_{kQL-)tU?r5N5{Y9DfHAQs#_jbEekQE%U?h!03
zRmb0H)&8~D<#6azeY;PN74(Jg*mq~0v*%s(EjGDH;W0_)Ldr8Mh#!rQXfRg8mo_^-
zvd@Yj;p)0$DbotP9*kENSE-<qhEK{pVSe;!^EHn=ZUv2k@t00*R7T^E?74r++3|3e
z;efJ=6-=dlpEvPS#JBdwk=1E*_^j&Er)%#mfq`+CMr46J3VpxaQ9JmL6x#G39i68o
z1gq&77LCawwcC7nx7BBIW9B1v!(j_(jec*|W+a120ntis3$29K$k+wNV-_IFCE>fM
zB#9H3ouoVjh6r2sX6=C~0E?^x!zbv)(XWxI+}vZ5u)X%Yt33pu*Pmg*jY9;zGpCN8
zxjIYiZ!T-lS|Y&8L)RnNRuHo;O*N<PSs-39os~)8TIZ>TsF8CeA5JMs?~UhOB5HK^
zS*j_T!&c^7J~6f2C`?lhyFR)^B%Kd&Pq#4x0axKbi?bX^36|jvkXt5hQBu4qfu`^$
zVePj^CJWYXZP#k;St0_DZ+5IqGl2}+&)WACMofvLDZjQ|B2u0wveI=L!)Rft(@s7*
zoIPymdnj~~xN&l;;6q_!$m((BHA-0|hrS0>yJ8oJ-KRH~Xzw$EU_NnbZSf2_d-x8$
za>6_@u;FEab-p3k@;)-W=JJnByPdP2?!g?feQtl)(G>$QmR<QSGd)ap$Jo*(Rm~DZ
z7g{enxf;OT1BU&<3Vq~Idh0xl&Ja4L^v~};(Fe94D;DR?yU2gAn!{=`L*!{X7mbPN
zga5_f1y}C2klul@3$%i1B80KZM>tXsRCk4ZnXp1KvB9^mfS4w(eO~oy9n}TA@9jI4
zf1Kdo982+DoFY&|_wCp|UAWzvrbp}}iATPkcdvI%5!xabJk8s5K#gzD_P*_nL|9J#
zn~DA@f^)d@aq?Cjh`by&?);;jcu`hR$ss;X+%uii?0KgRgIj5W`YGQC;|B(%#Hndw
zs*(NqUwduPm^GhIoBl!E-S+yx;?guhzvbn>!X_HHC0g!nz0gZUYSra86wDAj8gtXE
zyJ>Lb@qDGkOds*{Tb<~km{~&L3ajwoZz@Eh&UE$e0mAHpWm5mOIl?h|51O5z!oZ}k
zOGxDq5s_jxn2qy9o=I8o5;GNETy4q>mK-H&2bDe_kzXVn#(Q3A7;1rd`mK|0H^+#G
z@jXrc&z1;L>JW`TKoe9?OP{X3HbJN_|M0Uvw?dTc{8M>9O9N($UJD2O{71y_UsuvQ
zyGCT&Uy^9;Q-^p-*=W5@Q^Zh1dDz%@IymFLFRY594z*?jy#lYN38jULW|pE1kZ*2W
zbmTMzyr=21Hh9bu!PZxcE}UWnxeKx!oS)PnW&4Dxt?)dt>FZM>Xn_gd`^p?`P*sB{
z2cs|SlM6)P?}uDcSu9XycCqv4HC6CC<d^?#W{HUMttp&2%?9^6RD4V3RN(R&_vQ$t
zRpM*pixl!K2lUuU@n`z0z+Ic6x^vcaQ1a!!hK#3NaCr6>yHx;XK$^e5GO)h1Px6hY
zhmXqh3$jW)P<|<S*d#z1eky&O>Re`k^69!v{vlr2y7Y3&Yf%a04YutZyTSzL{^sqT
z_2h>V{I~r{f)Y4Ry!x<g!U84FPmIJY3c!+^X8utVCD^_{gF9ZB4J4(aH<VWkL8;Ug
z5$*{^$eXonJt4^f22$eE7qUfQqfS}kt|y8RtJPMJ?ZO2_>X8xlmtt@=+Fdm8sv<zA
z{zDJshLP^-l5NZqkmKyg+7+w_CwkiD&Xn=O@uP|Xn&+h8$-*Y%tW%1>pY?M%RGuFW
z+%}vRO_Txm@k1}1ZY#oUBKgU)LI8$e_kUO8kOPx8-qH<CiqMo>AmiyT1j|xCc6cSr
zL!`U&RF<X^@J+8NoUs;xy}R1)lvyi+p~uYLv}a0Cu%o;Gw2c^)JHN2E;Z%kX{|(2R
z98(7AZGR7C2W|xSw}au5BPw7J!YzB!Qw6v*-UXMSB;4H1`uzP*HBj0<)zP>9kJrQX
zT1zBlpikje661h6)c;q=ltf1Xr@=?Axq-4E&8$Qk&1!=DU#&}6rw*SJMqbpl$boE`
z{SV<NDr|PzSYrHL6HK2rnO?D0fS)#1N8g^OfzuZGT}N}NuoNA1z~z-9{GC}|?hDd}
zG*y-RTLiV??EzY(sGTxgafw=q*sKGsj{9_^%XC0$R=(M!Nd>N$3)#^Yb)Y6Qpf`KH
zPngq3N+KQ9;CM%&MP8UL2y#}Q!EggO^3{Bvr-}mQ2}Vcu)aU}Gmv_7=)d<GjDy&M_
zHK2FHZKL~7b%AedtjfO6CeYSikfKY~1pUtE#)9j;L!Zw?6&5pxvE!-XO0rsT@Vdw|
z@d6!K`MAqQQw`uvMF`WQW-S<*zj;gY!TQeTwmfWPWC2DkufJ%EQ{i2%&-QQ&8cfE?
zbVzAgLeSPm4L3O|EE>Gva?#TQ)q>CQREBjfXX{ApUeSV{K7X#MPzty$<|!8ETLI;Z
zS0<;27DO8ev@V=dhN)v;k{-%i!yU(yb7lUT5S5iUU*jeZobtSljsezSv~7nQ9Yq5Y
zj3j?*XGwvo@XkV=3)Y}FH**#9*8ff5*yjhU!oX8<ZZ`I)HDqpy`S5c}6|`$*e+1I;
zg3o+o{tbO=kSne5*ejv}VXGBC($X10xJ{xW=7$x0k?!@O$SJ|4JIvv`*8UN@G6cNG
z*7rkbP~f3(Sp~qb74qKdEh4Y*6w`-kOVABx)nAs8gElqc@kq8&lAr&NkKVeE=lN#s
zys9PxoHtBWKAA0$VnY!_a=$HLA4O@)hHDa#w3FE@?I#@uzk73N-!2RI=EJX5H7N=n
z8~5ZzFEL`Z&Ku{{MgZ2;o~WJiLXe)uCEz2^f&+bLTk<vmB-K6Q`g?>QPVX7JopPBK
zA8(0cHoi_kj$R%8TOJ<3=G4EJUD=TD!>9C>JLbUqDx`9>o*jBy4!v(GW5a%7GI>1D
z44!6NiuuhlLB{yeHJh4s58yWJ`}x)s9>?^JcBRpQ%gF?q!%a5iH+2x(IcWkl7vq<A
z1uhUb|8%%}Sg>J9$gQI}iYD+OFwa{uaFTcyGjgEt7b~Wc`C1Cz#_;z<jKx;hLE@kG
z-;k!WtT+<$!&EHC2-2TTr}S<4M*P0?K5Dl-D>m#QS$<9#g6T`^#>ceh#IrlP6^A=n
zkTT-b*}KUQz$S7F=)NJ{x<#rrGg#2nvW+GEp#cQm=8P~c{7$ySJD;<QW<jpm+a`|~
z4PfQFs?rgWKcq=*d4$HL^}ImiYLdS`)Q4T%a;#{C+&XTkdnAtq+ZZpfX>{s=TRP9U
zRo4V5)Air2>Ax&^)#a_OlARvZM)~QO<W7;v;!zx%Tv^fa<(L0<qAr;IT`CRVG)o5j
zs^WgI?sq|BvKdLHy71X!vv=U@d2)|W{C@F7He}X+Y4Np22PF2~6iHQIB0ttPUwI$I
zj&V+}<2kK$;MmjD(U&nRq%-w!RC_Q7GBFi`W|KBNj5gQq>sliv9k#|rWN_l4N?#9q
zPi=_o=si}mksfos7Kd~exX|HmWyXnV8ic%WJZR|1fEzV51~SfYqqvqA-Mcs%F!}!r
z%DTpgPrdDjTts>ClrNEVQj-S02m0<Lbuyu!Sj31v2OqXk2Zu`AsGv)?;uEXGf^LBc
zK{-PFI282k;OnzgczVA5@AphrG_0E}pEeP|Cn25=Y*Z@9b?A9~rLg08;h{~J&I+Q#
z{E^NNO<HiydX?ebCk|x$?vvNmBZQCFoHo65&;niVrnAF0xbUJKx#OIN2->C9<cY8M
zXT|P^?@k}*#=EJhFP2tCF>a|uX3J?!;GE3f+-b^-<*zcIx73PbT&Jq+ys9QVY5Zm2
z?!t$f%1ui9b0x6-W$g=|aSaf#J&^5oo*%>i2@AKBOCfX3k%f=%HNdLcH*VK!0p#9Z
zA{lyI23<vp>Ryr>;2ojQR4prnAGh6o!jdM7y;)!0G&XC%QtI7*jfuh->CYeJ(<O(O
z_i{P`y(U;Fv36&vh+>CPam9eT0`B&Gj#Vz2;71u2<N7RyrdKlbUE&lmSnkEBag!zt
z3vPS;-~Dy3WD38VyQ+j-lM6arC$*r3b(Xj6yd*k*cu$=TQ^Cxr15bA=QsLOjvox{u
z(x`U2G*fF$6@_mZHhASzVdU;-9`;5VOuQhyG8aw38^v|?U$@Y}%ie&S@sBLZS?{Ku
zV$;ADFK_-2oZ7JXi>^O`MIOry#~$jO)kMZAfy-Y;v>{ah#1*s@FiD-~D|fdRny%Qo
zv;NhAU-OYw_HK$OTk)Vd`x+I)g*#$HdGz4QjZ47|F-qtq^XS@Nej08K`{F3!q!08x
zes6*vE8`REmU@pc8n*nhGdx&k03O$0%5QB@K}&TD<Nj(II*#`*GN~KE;IBV#?=-4n
zXx{i>TQdzsABF2+r7`^OPqJgIRzrL9tpmr)X=sHPrTw;>0v21xa$KU|u8pm)iacqk
z^L&3W+mIRfI`dR+Qd7syk<`huHY%$7Mm%r|Apos^SWVwo$H<giJ%3&*Zac%UJ9FK4
znidCQ4|b^|qm^(&w2mf@Sc!j)k+Xm)JL#^Aztpk1CZEOTF9oyAf;Y`RwSXXlWCmJ+
zI_jD`d#-t@qQuPZ9e1ggaOrv4LYR>{Ixk+4a(SeLPF#Kw{?{zw*H~t4c^n0G2h^XH
zwaO#=nbii4ck3Q^q&#GEu^K9#<PP0VFN-#LVGjBImLO4*9u$<Jirl}ey<+1eu+RFN
z(ZqV5R=c^8JfeaXZy!#o28!TeNu7_6KU%_mtH{A5F=edoZLhdo!;jh%omHn(En#tO
z=TdQrA|4P(O#-P6*dAAO#C4Y?r2j1Jjx|=muJ0ZDZhT=z6`@l++n6kY@2_i*94UwQ
zf@MM;>{%mur5mfM*%olGB)m4>Mi#$asQMc!H$!^Le-HBk3z)mUL!&!K8uPtN<iC9w
zBCpm5gf)ByaH<bYINT$FIku+`HoX5zE~nGg7y1E+3awVf>WgFK^;IW%vFD^$RpHR5
z83H_h=Y5~75W#%M{94>k61{iITM{-B@P|LHB+yF;!8YHJ;lCC_VOd1zmbE!>%O0B4
zG!#Is9P_B7R-HsKW0D-laWjxEH=kxP=ff7Kw>5GC-w5jJdxiQeQy3J;JK*)38~>EQ
z>CKDyM$qqeIZo*|0j}8kHr^~w{JZZOvlshUqG5K&UjL0IKy6Yyd8>*I9TL=>J=Hsi
z;shqUbDqZVFlPSkF*z1IsmF8H$hwvA{zv_=HO~mRvOPy1bTFd2v(;x!;}1mBQ6<Ai
z^Xr__od~UOp+^V1u>7SzNQgw5eRpy&gpBMHGM?OY$Wh-#xA#E~(fp$Luw;$_NPMjo
zpyys81@G7G_ZWFZT02UFG%_2&_$CdBw?`Jq2UdcYdiiR}&3<O#nuqm4?(<3~kJdaX
zT<TwR;>Abu>*j&)JS}=)Ez{l`wq=%-Sy9c%*J&qT4!JtnnCU@E;I>}h=hNiT*IRB1
zGk+tc8uyH37wUp_;pu?+V^id{?;Q)ptv|?^pR!H7a=Os&wKOUnFiG0mdUOaj_mcFy
zw&UI@I^dG{c~5f2KT;^?ktu!EAM)f_Pf?_>4xFnvz&gnNkL+mvk1M=jkW6h<jo*G(
z8>~*<8Fwt2Ag@>$ZGDqBLJHZ<&s2+PL+gR(+Zw|s$Zr|ey@OR_Wb28q14R#LAhlTR
z%^5sFzDc<BpmuVC{2|`EB0{0TGu!U|y$KWKyhz-ApQK50>R<1U!AdH8ikPp@{Wd}F
z^>NbGb($t!bN-7Ju%`mgPp_RPZT^v=712MpD$J5y&t>RjYP7(*Ejj38+dtBqLqLj6
zV4hs);Akrx)r3lYj?3oJlcbvTTQg?)MKWsBCf|2*nxMGNtNGiWDKa7?al7W8W%6#B
zV(oEH4M<epQLeUr-%G>u@5!oF(#h6Jw(OxgY@Cz|)I2&v9#|8p&&{U8I}5UqJW2tz
z^Uwb6Et@4bTIZZN#>s$b%2B=6W)!I8&Y4M)oF_ZJ`ZfQJW5l{`^))>SYVh{aH!Yj;
z1yXC`RLmV+X1wutTV4A4PGuU8PNAJzB1gIcpGecO;*-AVuGT%OkZt}jH|OvQSrweV
z?fMKG>RD!3e|e(<vZ>+b0r6|(*lpQybumtS{*>=ORdW^KH>eZ;F;9o7cjO+W9o>LE
z_FUEbYLuZnXM(3}69cO5ZlQIo@Sv6)n>f{08EjpXr&^ye;<m)r(CY{IFvfZ3-RQ4M
za3<x3m)cflw2zW7iW=cZ)NPYF8L9-zhOT{oSXuERy@vMlyMkDuy(we6f)d=G-Io_K
z#)cfFC`KF>M*8Ecp~XFl;5&ElU;-m2lD(`f+P<PlyLcupEKd;}7XQ4`+_C{h!ZXcF
zZi-`@PWsS7j3R8B`)zmh9S_P|a@-+DByhn!^xf~%iZIu{^@+0u9|j!1DL@I6#{Q=1
z(Ie4{5ObTJCw;vidxtu;)TCu`nl=@&r%(}wNjskRZh{!AYu2-PPYzFSaZcVas|f1b
z-&`G&6h<=})r>)X1)M(2FrIoq32Lc!*JqeT(Uv=)H)~W8Ut1{+Hmxebhr0XMgN4M=
z?C{#ge=n3#kh5l7>w_{_P{;R2I!K@z!(iR^N2)j)&h=-qSp^vCT($%kNui^@ZG2(I
zIv>=HY<or2;J{Gnz~@vMyz|@T$V7n#Qo1!}WpXL-aR1ei#3@-^8ece?P_2a#J9$+b
zuV}#P;bTL&?(#VBL&Pw>mx|4TbvI7bYr$jMa+PAc0@7EAz1HofVaW_nx}p{hp1uvD
z{@JO7Yw?5b59+m1_1-I))Ix38#=kGlu1gs$xt>^i$LXNNp^Smo>;5-u=UE`J&bdOa
zdF>KST@35oT<U4255IV%dM|!aL%k^dTWra?n0?h@lzDxJdko&@kTy}ryr7jL(OO;P
z8@@kZ9Apfg_wE<lMQC7}NQCcXsxBt$mzV^Wm_lRvgPFV=ny4RS(;X_Si}ewYx$jS!
z18vg(?XaH~%3e8L+v=c$7jw<(TyFv79IVtYSk}U>HhJY#Ic+2yE;ctLS-`N`VtK6$
z6>aXeU5?73;#FhmF1sj8*llgXbyk#$UQv{Gi*^mPq)&Ekv$2AF6QdZ%w^}&l$@iju
zK^1)(o{yw;SwYNHZ$cBB7Tzn}*1m685u3YCei^W|hUuis6W`}F5Dj<F*|f@{g4)%7
zYN$0-y!smKm!^*I3l7(*RBS|Z;}AvubJj3+Y@k$?je?09!?V&`1o3#9S96-XH6$J^
zOuS~PianZNrLt+9IK>=leoe$0DpS&&GToGsQ+!fRWqOtTG#amM|I7-=eG9wP_bVdX
z!HVJ<*?zJ)R*hNT$_irbulIcPlt-EFPZ8g2KNB~m9(yp<S;9K-C9ZnQBF8Dt`#k}Z
z#F@&KXKqI8xm(*b-5)7r!w+`!x0i`Lsbr!0LJQcQU>TUMu@SH2j?{DrF~GUPffq^Z
z`^V`->#KcvBB)y$^3Ao032gcXZfK_fe5AD5>v;+yA6s%!VJ-{oxtwxbKp5bzi$agQ
zGaveHzh&v)%nD_)blMu41cbieYxCH!0js1o%GVragEZS81;!@kP`tV&rE!uKRXPuf
za^$nY!E$?Re`hl={TXao;>3t-+1VaU_t{|4tS>3xlqr1U<!=7zuu9fmKiey@pAEJg
zv$rY9Gy(SG9(n^!vt<3v-M_^+*kHrMN{wsZjN#Lw_>!~u1Zf(jGx{Qj6+Bjc*l!Ux
z2EIH|omIU)(ngXo#MhP;82&7sBD{@Y`?njO_f}d-Yhmx<!f_UeEmRJCTWScA17Dcz
zlMWKUGe4Xk%4Y$`cCC-Q*bJdt?0os-oh`(+_g2rd&alApp1i}y4;sM#00030{|uLR
zIM#0z#*w}E-g~?+?`!Yxu_|Qbr$R_1v!WyknUNMMBqfR{WsfqxPut4K$j&ITvS;Gw
z|8t%5T-S4-bKf5;)fM}H?jsoap?4aMKP}ubyDn1Ppb3}Wh<!A0oy1z!pNdFcriDnA
zkj%GaO%QOMZ>@PdhdH=^zkT32EtKD7Sh0Mf0kcF4LugvWKK`L~(Ac1b3^T?R0=EVz
zTeTfQ(JPouKgThvGjx!%_Oe>-mO4D;l-=s%T*rP>T<5K!qX#p7{Jb%fI;h?r@^~1x
ziIv~C^t#(X4+mXn!}s4-14~VAdfi`tvA7x2J9EVh5QmmOYVoQ8fuC5UptplP7I?(9
z{*Dn&6sjliKUIY_^D2A6gA~wLDZ5Jbj|nz}#ZRxQtAb?Adtr-UN;n#}Mt9$X1^8YC
zefZT(2L8@d7<C~Pq_LkJ^I2zw6O5`?nZ3y{w78hJKD!T2P)zk1xUfS=f!;<s0~tPt
zCE<noG$5Za&KZ4-1H9)#Pc;;iU?`(a>ds?Y;3o7uuJhxB*ZTZdCS6D%%sei*#zPOA
zmMGHvAs1Xj-52aRNZ@UHx<o0D0S@ZhR;5jHgJQvxw^V5=z%8msJa5MY?sN1^L_1y(
z7?-?1C!hikb|vo6iL$`aXXV=IgM6@`dF#ciLS=Bz`u#zcnGL4B)rUP31mMSuqeIA6
z8TzAZX!a$sgK0#P5Bo78Xgl1|^NUUy-26KzeO_}wn`55jjJXKh{PN?BR2LD}q;hP&
zjd4OBeVGxRyBLIJm#wu`5#f*je`z(!+>rPoV~M_99KKFG-%YC^LP=<uUi@7ii0_o@
z;-->>bAyVNG3`X)=U^B($H@mhGOLHX_e(*0`1sf+lQKLOeex{0kRJvQjm%woBn=XC
zx(v9VGOW+b{5a$;2q%7QG{jQNLf4r8yFbgy5U%@;URzxl9<TGBE59rUNgUQ=v-v9U
z^Ff2ef`lmK9u1d!w<!<lANGC8JwSrO552p3JmPT7fwN8{QV}`=o_Kb2lR%|jfNn!Z
z0(`3n<qhZvU^Pj@qZCC3<sIoGrACtQt5WD(NIVh#&E;q3SgL}i)?KpIX(=$Fwl)}B
zR|dz{@GGU7YA|tr`_EjGGz8<?e7|H#fc42BaT9guWheSh*2zGru*sLp^(1J^^1E3X
zpaIE8-qgMPEeqA#b>d5UWEh^k&A3#j32_$=K51l<hsh-EYg*}Ka3LIDdn>06lDw~v
zZiy>EbCBu;)<T9qflh7G1v=pNaru|2gd%Xt9DaVcgA74#b>9!^>A_%N=^q^$C2(5K
z{5+FGhACESUXN~l@Q7{ZHUFdpuU^)C>eVMh&f!y$GyaA^^QBCd=tKbVgu0i<ACq9d
zvPaEu4TFm<!vS7(1mO6@S@$wU1)}OEv$9J83}dAp)lU&XmVr^oFOCRStcPm}$Bcm6
z%(<pyfB=K;MX%DOmEdLl`HI|eBXF8#d*7B!0P}sx?&-1e5XVt6&TDTBV*Y11CYTBE
z`j6bpg<2WVuriFG%rl0iQ{p^3HcIfGaOk_uge2^SSv-vGHHHMy8}}956k$Pr!y<-X
z91b}N9<ZM^294;iGt#CCVCZBo@6sU%a#1Y1vE#<zLx~#??vn@h^rjbo+jyY=a%8^N
zJ7ci(yvy<Pxh%{w&<Ks0aX?(^n33l7y}6xS6)V~@P`<VPW+Rpn4p1drO2&-A+~_EK
zFfIk>#dQm6)AvD~VSbb4ZzEWHd@NPUL=qxPrxhM0{>4ss^y32YMj-m-vQ<lyIOuwi
zum0Ft#FCtu&2_|#VEpVxq;s_>4Bom*d#~sxHi)DWT+0Ajw*3Y>*M%UhF?XM4MF)18
z!RJAV89=z_L@>v30iXyzEPB)HAl84P>1=Tk213-?e<db);iPFN-}CJTeE8MvY~~(A
z5M-iMG|S?Kq*6ta*ZVG9M9)-Cioy^Wf`>{};y59grB43HwLV;F!cLA+#Q;=WJPd3e
zu!Go8HFsI)0IqD^a_zK-KICnr68S4xpjGa!Z>RPEzG{2EF!7NdRQi42VN78JUABad
zdE-9ZddWNT&X6v21<dH&eoqI_cC*yZ(DdL->t%ypQo3N*`LTG;m<9|L)3iVIcHr~<
zHeB;(b>P{B{a$M<`@l78a=?SG32%QB?y`()!z2G_77bBKa4?MUA+FWqevg@040yF+
zr&r(HW^f1N)s5si9+Qo`?{1pi4b*~a@ySnL7XD)IZ7EDY$`oS4UjwG<J2avGYWkwr
zxlL?sHh0o5{XJGFdQ<nNrY1Q01SB1`UdN*I`^9-ltymF!$!pHi0LrN`TA$ce%#P+u
z%f*o{tojlar5%d~I9xlot<JE5rC(kcdzaIXMT>}dZ$zjA^|)q%K=%@MtS50?nlyrK
z8FW)*uBd^jX%I3VUBrGvX7e}Jam;%8_9KzAYOoU5{4h^$5j!)XbCGiK7q-tr!t>;e
zDo_v%s41T=U`|#s+O`9~vA|{C7;Ar3uy$~&Y_?v&K%l@{y>kY0*0G&zT_8iih-!j{
z+ybV>BXPNN_z!lMg`2-EgbZ$n3BUOj7O>^R@st;-7O{VK=J*V$$?%|M-el?U0+zSj
zt>TimgiXKcJHc{y&yRLBKlNlSV14PDfmA0}uyR-GKO`9vxDhKV{Wun}RO(rY7}6TX
z-7)>m@S+O%$B(rP=PqJ}jL|a&VjGww%b&_;dCK7Y%_8iF^Aa|%q=@yXY+>Jhh!nSm
zi7<2fT*w2>WlVlCr$N_i8>^Uke_}(J2+7@<zQt-QSTU7a<g2C~>{CK%^ZZEyC|*sP
z&_A+@*;>Djn<%0H8iH<f+$$vrs~X5?%3Q-bN_Otp@KS+y_A8d&T}3D<Z7n;-ynzK(
zPk;UTa35^ShB<IJDgqz(cef*Xo0#*V_3Z%@8u+|aJK*<50dy-GPZgZ`i`|GnenN+n
z4t~_W+*OlMfNHVEq+-v1m_<wsVV;oz&U1I6<|KJw>GR()O4-F0-{*TBQDp*k1B3F{
z^zvY~S>)CCmjXJ_??T>NEHD_7(H?wV4)oDS&NEh2P<c*~B*4xNcFjT}V_b4Dap+}m
zBH9NHKa2DuLO8%$EX}7cUly*9uZ2iE&_I=y@6t^wF8I^*P9wxz7MMqjO)l`!!KH8)
zPW=*YIQ~d<j%Qs4bc)udmnj)w<gkWjRy;2(i|0MCEt7$+2|=6FLQG&BH@n%Nzz@=4
z!!iPqG7vF){6vEn3l#tMv*xN6gvD#S>hDg-K#+m$2df!2Al)#Lvf~#43bC6Zj7Ma^
zvn%g_!VwNIwVaecRVW5ko|)QO9y0JxXYke2E>8GINfBnRCjq(2x|f7*%Ye`1*P|A}
z+~7r%QR`DH3Cf)GdBlDhV9j`wrlZdbZcm;jG&@SevSzjE{X?>#>u&hdNuD2a^TKyT
zxnyC=cWF$0Mizo-Z-^V|3xdF(;V#ZeIrw?@`;V8kav;{29I_Q63`(u9<JdYC;A~<<
zzeR&Q)b9^w?->?_;6RGXzHdtK;+vlQ3XdXOYp|2PT`3OfsV@#Hj1VE;nqvFMo_?B!
zd@}~wB|*uPeM@&q1vcmW@9L%#Vf%|CoC%YHf}7ffWjiF;?v!>-8B~GwwPsV}HEFmz
zouKZ$Nd}Yh^WUxk8Jw5ZSh+%F!7@R_TWmxXJ|6F<Ed8ho%RdXFgs9}9W&SEAm#+rA
z4B7SVq3ZCRUO9a8ngV3_J0{1QsYA@eVaii(n&9#D+wjvp{W^7CTF-pBmv@s_9c#~N
zgT4;sPW;{;yk+T>pl?+N`q8`-=d*MnDf(7t-xDIRUFU9`%~l7^pP#J=WBR~u+P5rP
zq6{tm6gND@)Iqp!8wO=Ds4^odt;DIoY@P6>4P!MBKGUe!QV1|l#aTtcNCIt#{Q38+
zs=&S)@bh}95gcqi&Pu63g20uI0G1mh&<I2q4rLgFRYrxxu<%~}^5`+Hn?!gc#BoFT
zxCyxFPRiFcs6fM|q>Hw>dwx3@ZSVQV1o*wH?W!nL;Dye}xWlbI{gIaKa&1i^chZ`4
zc9ID1I(<)<1W3S(%hN`MQKk@diWVndBS2Ymzk1e!ARLcAuJ00S3Kc(=IH;x+;cC9r
z{mmO(;7mhV%;;(g?nCdfC=ms)_|{Zg+rR+tn)B9Dc}&64eZYK}EC<UHVayfBw=rDP
z>}g`D2|Vo;%@|UXfnf8#_dhO-Vp0zqyv_AZAZn}WC?81*D8i&H>{5pC?+;g&!`~P~
zs|s7$MY04)a^K<)*I&U)dp7+)s2GEqh!7f!5(VC#B3%>N9eh!~^=I5uBcOQi|BSj>
z5Clgh{waN=LSH&x*E8`O!M}*ip0fw}prJYZy!L4tbj+DEG5rpJljYxvRtj!Nt;mRC
zA<&_M-iF49OaLjXJ|BkG*+F1rcZ0{29#JH(-uWPa!CG}<%2yX=Xl@gFuKk@JF)Ds5
zj+8Tm3#GHpw=L)(&NVbMjGh7M@}=#DfC0Qn`hXfssKC0^*h6)d9#wOuf$b@M$eps?
z`cLp5rv7cB(6@pfwJYYU2Bhf0Gu|@8hJsbB;&9Abiu2ywd!9e!nskBo_wE%A%0Jld
zq$8i`79G0RXnGGZ>cU6bu!<o5G0aJ`Y)C$X4t;#(L4V^v9hg|SnAF(u72~~<OwGBU
z4%G-a4o^JQ26~=J_n3%coGQ5{f|7;~jnV||-~U$&Ob(je<|B3E&1RAtE`zja8H*NH
zanyoxE&0=q`^WH!|BmpI+i6iDY3-`+ULJmCbCvVA?i8Lkt}}3DoE9}uN@sA%X#z8q
z=d;ec^LX#olBqC$IusmpfH^o-0|@0UNjEE(aI-%eSEmE$P#rI?J%LFBMkI~?+61iP
zZywW(O8lWi{xA5CvBs&xI~#Tjg?$@%ZSm<&t7LlA5ur+=pjL-a-A}XPp<DQDqheIt
zaRwCBAZN80uLk;V0&QMDw()?oG<3hL7*R?3%h3ULHK^_luQ{u~i#JqRK6~QBgo1O%
zia$P9g_Gp2<GU>sXh_1%ovWA`6}b}#HDpzo<T+I%PeFzJPM_{>lw?J9g^|Dd8p)8&
zk(+u?ZyyqAaPqtUferDw3fmv>B12tXa>jBrH6obQ98_##N7>u_Gn$NhoZ@O9+ulcm
zHgXnzRy1><NZ+XF=~5C1wr{08Frh=9{3~B`Cpl5ycUA84lO!17RjSJWK#!grV7>95
z7&ppR<ZNB%CBaOw)_w~YM#NZXPgV)yL4lFftIl~UaPwf;>^m-Iw4A=+P(8_uyp?^!
z+KDPaAM0|{YMKRw6$TgvUExO=-F;SBpOhh4CGM%rPc}59D1T;zB#1m7bx}H<Q-+G%
z=;H=d97v!tP2nViFp{)?fOis<L4G&&o|YUZx|bMPs7Nb{9=6C|RG?4>+t#1X*W9_#
zi(D#JPHu5TvXE|Xm?1)r#o^N#72HTBeKT=XO9FlR#o-pbL<H*edd*J~yolCX-16L6
zNi->yNpHue40eGhgB0`m5Pb4u)vuC5fjzFNy)MdNYNj(>XfA-XM8Aj|aLAyKZzRS>
z8kM2(jIDhStq`gjOTsEcWl^fC&!v<TDj<{i-TUniVZ>{f7Q?zIhoU*g9~A6y`jf-u
zvYnlxXg>B~e0G2W%4st^+jWx!4+j02X9L6$9a&T5&Wa*(rO|&8Cq;%=5tc#?F%rm7
zrG)l&Faa%$6f=MOPKN6?8Y1maB#|Jat@7tTL^RU&NF?l~Dx?yPSqnc&q3`VbDC_=H
zK}+-um33Kaz?#auZZt2Agnqit5Uoh)@`82=ZG}1%o?D}PDj<t4^Ix219Uvh^bLlf>
z(;6__(q~8sa)|Sp?%C=?Wb`?3Bn}yB!FrQ{bg8pE8Y(w?qVSN6Xrox;Vqa;4kA9%H
ziH`zO_K2f;fRj;YTIsbbWL@CB+Ws)tRT0JD5=9i{WR&@6O-}8D9(b2JW}MSdLVcp~
zAL=fUQNiiYs-BJp5dUG}r0#?gdR|uLL*6E#XumwELsN!upfQ4j!<T@jk6n$i+<U*N
z#p8P!Y5<#3)>gA`38<rQ>QqCgG8)fvp?@|Gz&2H^PUs>a^B@P(gCYXjoxS0yebos5
zdR;1@EF++bldrTmF-4T`E|H&0X$%_|{N}5U5)k>hQ^%P!IW+f690hwB?{WT5?oOnH
zN|Zg9UE8Hmwo&+6<!fW0K1f;iZ||QjQ4$+?s3g(Lw+&(p-;IIZa+SSdLjm!YoUqBd
zCW;pPy3><JjiJBk$w#A3c_cM2$QooLfX>F7Pn5PB1FKf_=#`s$`bY{kDhuaETkExM
z_;X`0K34X6A5j*a-Ma6}A;*p!*{#`b`5MCko9Nf4>ZFnDQbr<OF+J*hHku|Pvgf}F
zA^Yphq>wQq-(?R4Dm2xiEMoh?2>fqdt@r;bfqE=QU2A<d@qgvms{%J8DBQpPe$YuA
zoi8b&`4G2&d&j4+sc!)AHsy3TPKcl;x83QU<uM#5Wtjxr1h~MZQkI}8gyJ1&q<hWU
z@xBa_xPutL>?NjNhnM_Fe7Eea$@3sw-I9U7>l6mVjuQT_&3Vx$Sw6<5%uiU`g}@s@
zw+z9%AywOgn;W^_5|?9`>%ji*H#)}r)&M$Gd|j?Eb0TI^uSdw|ZtPfbqTuZredwya
z^6sQ6J0f>JPuryYju9N=1+Pi!!+F#C7$-&+Bp2jKx1iF4y;n3wnkV!?>gB`#Uehw7
z>251oho(;KwB2r4QMN9m<mA{F9HB#}nA@T>G~2PKnWy}Rr*uH!Qt0QHC2ADf5cQ7j
z#usdpCGgZEEgeX#lrv-M-MhE6oQVs+-eNoXWYd~NZ3xYksT`!BM6ow)xm+#oVJ!QX
zY^cVy;B)vgmvq|>emTlFHnh0}kJPZT*9R?l6qWV4iDervE$VzVo%0b7``4kQk)sLm
zj@jo^%Qo@x!TD~?v>i_yX_Km@*9335w0VZAb^Nv=-Bb$JgL_k~W<9&00bVSAJ5FqC
zctr9*|5JlOoa=O%$>%Y3$i4V4BC31^Z+f(JxI%Ok?+7#L+CHKVorkk`4YQW<&rG4G
z`^A6as;@%U<i4uG@6eZ_;*CqVf7B5{RryIA*Pr;Icu)-j)61K$5SH*kVOp1I?P;7*
z&zW)dvnm8XPL}ljxQOdNc3LAl%;AP?V@vkts^B=I6oGCo;#b%zZ_w;tz-0>jrVh7}
z;pk^a8oKC3ymHxU|NXf|obe0KN{0g(hR3WX&t)&-I_#>w0eQ>#f#M@yKK~*?M@HI#
z*58Zxah5kV2|=s)=*m>5bTA3x)+{q_9bLkeH7}=dI<MnuLq>k%3?$$@NMBPhwS?DP
zr6|9CauX+Pyjt5dQh}eDhgP0vFXP9zA9|Hu|BLUiY<wOLRtEECU!mlP6+EVb%`U6&
zA8zSU-4Ier1YZuV@3WDsc)g+GF=r(Tq)~O<xod?0jJ~YG^#yBqr{_|LdkiJ|d;Pf-
zy&(bO80Ur}x7Kl<kbAJXPK5-d5{or&D?x->*n<4UO?=rvkty&dHLAE*cQ@&mBAm-U
zPc13@7jME!-#D1kqSUDBuA`=kU?iQAZ@aXOAF!%iik6~Bcl=_fhF&PZ{4H)p?!P;@
zR4ff8lQJXnoH%TfET90(x;4qtk0{V<;k$nvyqVGC=;-U~d%XFlnO0x6pAvnF{^2bB
zofXNR6nj#|ArBsbd8)gb`w-8J^xL;MJJPY}e(*R`4qE4>9=cajBT*KQ_`_<PD7|d1
zDo<4o5}%)qJaC*AiJ`Fw*+woT!JYANw@Vi8klu9smZwK^2l6k=$MT?m15!<Vak79O
zRQ>xP$%u;CHn^O<_z(?kY}RvASx_YFN8CTej1q+}KL2`A0No80tFPmch56@M7wulK
zB2Bmd#=}a5kWN_Ca?6$sh~>M8vpw0nYr6jlg19J(a5XqpvnB(zu0#tF22SK+=oZ@Q
zCXSfD`KB&0%R*n?0y!jw3o*-D|1@urKvB~X8Rv{-;l)*x3N1q(<Z|qg0r5X6v}5y^
z>sz`kGz|NV+p_YZ@krUms8wmCzdWnv%`XRv!xx-Fs0C1%i>_3BsVstygckMBazK|w
zpZZrq2=%u=3O$=3k1}s2U7pF8hmwfmTX(!fP_VG)9r_?e)F;3jIP^sU?!DVp<LVYe
z>Y??qUI7He-j_$+uBZfz_twL5)Fsf$);H;pU}a>}fV|542(XW>thpjd5*5jcP+1w0
zkm1_GX{|wJxTnM}61pvg%IM!dkkBKe>$0;9Ntq-#f1oEmE=UH6u}?UTDySm!yDQgf
zw#Z;!Sr8$#B8#f6-PS}X)lksZWAU2nY7qKGie=wLd34g_N!q^(HN<+8ayj>)26$V2
zZa6!yfb^*EMd#?NqtsW)L%-Ct;H|gjD5aAUVjiIH8A?z`l#L66k4<$z^i*c>P5}WW
z8W7vachpfi=fcAN06lP<WWV>klZgB;2IukZS4R%-zb>Zc8$fT2NY_A<GNRNbkDY$5
zhEfVg>b3?j*jD*|;b)8rIvJDk>sg5^>a8zkIrJBxk0Zm^dqoB1|1#iR@g}2ht$E_h
zi$)M=OXaA>NJ29IQGTj=t%3v^gRa>(7=z}7$pOwEDv0oAB{PJdfUYz|a9s^Hfsrb?
zyFPpQCWlepdq6`T9htHTVOlqVH#zO2enHB}VZ!Ep9C<JAkW=vN1Ew$*UcxYXkcjl7
z7;7^$#L*2=?<r;<QwaNdF{!p+3Dqo3=bE<hBM#MDlEZua_{C;GT3b^QRS4S2(C_8s
z;^rLN8f8-mn0`Ip>@AOa$?-*PY<s-W;EcuoFoE+TmtvG6Wsz>U633PE8+fBY#a3vD
z38-lrmwH{7Mza)|aTUwGc!l^!%VY`@;L5j;+`p#>y?q+zSM^4*xehyyxo~6n6;9pL
z`&b+ecFnx)bX&pH+!wNQSB=1j(%?dJs0iBrB+kj{`46L~akyUMX9UriLv1g|1&~D@
zqk|nC70iA|-D_h2_OuK+lTp0rMBVdno0HU#TOs=HoC^S53VC?Li3?e`4|1MgpaIj!
zhkZrW7(5M1``sVNj?5-$`bZ<Rkg#d-p$r*9mDRNmS+|*x*Fp&K$x%AEm%9JcxlRK(
zD7KbeUQUZDyEzkdgXkcS+WF4Ff<7pBoasAqm<k=z(7P{SPX`u7gI`kl^?_FDCGAel
zHvVRQ^7c7qI(YQ-E*HCn9u&D>>}bec#b-YxcZe3z!hV<O@F%gl5KSMk`1R2reE-WE
z!HyQR5d5a%)uS&uFnu(_W5i+{pK{o`qc=qZTe1{nPfi`Ew4J55b@_(N?{t20xJLv1
z^%LFhr?i3M#capzmh-suOazav9SsCi?&fgSX+eg5OHo8q8y2mpHq#_W1HV4e<j@Lh
zf$GPB18x_GvA1=4YL)yn@af@*^I)VV2sQJ7YsW9_qpA0s^1XWX7UB!D84W0?7W47y
zoWVxJcP_UcrGZukJ2k4~8X&6_RA2jQ0lRQkFg58p4V-^L*cfh8hs*kPiDE{}SZxez
zqK*(PB)Jc7mYb^sm;Rw?{i0RunfJEXP$}&m$4^LkH>iQY@=b%gR2x`s{-HBb=jfn8
zLh|Z_r5cDY_*ZwDZef&O?Asc4^x)$sR3_J@3fuW%H#Z};v8p>-+_KIL(A#F;LpZ4l
zKSeGso_w=|eK!3zn|GTLluWPPq*x|{*r^(^rEm)9iaFt7Ji`PerN@C)*U4b}e5r0F
zj}oj+X<pY~U;(SR<@Nv>G6Xt3IAb(G1(n~b?WGji;L>H~f@7aakSn0<jfqmjcj~1^
zmjrgGAIaHy>Q4fTeYfQdFVH}`%?umUeGbqHUW~}(CqV?A#!C1QEu1iAV2G;agi|i`
z%cT1%@HCQ|tmQ@zD_1UBno@AX-BP2I)U+z#>xu|Zb{L?Z)a|@@k_USF`IyUMmBH$|
ztNLOM6Wp&+($W~`1<^B>^k+Gh;k`K9ozo9lKw<e!@B27@kUh#6^|+V_M1I><><Jre
z@(f9tSqj2$HY1TaHzJIVWnUSdV24tt3WY-&!l1=vH*79Lgtq*D9f@3=5F@wSs%|C<
z&CEXPE4u`kjbOB{I>rTMSEn1O4aFg#>gquBG6850;9thexgkfl<p%ML1W5Ar3`|oI
zVX413JdnT(pVbfDp(~bzxY_=?Sn^)~^4ggcoDXI#9++^_O2gNenc1u{L<mY5`l)$N
z0K|^nsM9zr1ENCR7YhCo;ZAsp{vSOda9E)!OP`Ph8}{vm)+}W>Wf0`iEF%K`Ox5iH
z{_@}e_9+HIDv)LFa!-#S2GM^<zqI~UfQ}x+&>2G#wAB@Voy`-6<v!6??>kCR8mD!>
za)bn-38j}rK1x97dW^WYI1wJ0uRf~HCc~h3^O?aJNm#A1_JurUpc1<DdN@WE>fC+L
zWC}^c{{R30|Njh^cR1E>6vpkn_uhNHubKHhUNn@XjIvTnDuq;vN?A!N6xor;-dV}_
zQOKy2QTP$rd++)4?{l5!T<5yZb)Wll58F8$G-o70+LM?Omr!-+*r^EGwvdJ&WsH{!
ziV46+t$_*)GysX*Z7vCt0gdZ&Lbpjo&~g4)vAnJcf1l>jJua1n@LdTn(-I;GJji|D
zc}^R|d+H+0yX9aZNMs;#hX^Bm!*Y_N2jH))V=BY6Jlx)4j1?151KMA1gcN^W_|*1;
zTx>)E{I3hfy{AwEj$2hXmZbH;(J<~}VznYHISnp7EG7ak9sA6W9|k~QX!P#g6(xW=
z$4q-!BG^{kFtEFhLH47MJd0yWATMr|{{0*Q($^DL=luZUrYQ96Rg~e9+tKh7Eh?a6
zpT+O2Y6R!>xvgw<lwnt_<Ij}05)6nYc^0=AK|ANU;Hxys5I|2)A^%Grnzr2!DIO!i
zCp>}HD_RMRe!G&!Hf7*kh*jL9JQBPp-RsUASA;p$%nRa-QZT{Ga!zEH1ag5z^RZNl
zaGsbrUo0pNTvrlRWLb<MKm1cf`J6obNP5xtI8+Ec3PY={S&hLu*Ghb$NDgLfD(jCE
zc_F>+Eyw$161XNE^5D0Ug<ea#$x;grsDJfQZmE_80;dDc+x1I>f+_RyidjY|%=`S>
z-;V@uICSa@9HgMu=;9^r3smr=azrXgngs3=k3{`CB%tp@8f;Q-V>({E5A5oUz&qrg
ziRN)}unUTKFyOm@8Mw<{JYjDHj?sa^_fkZ`Gr94C3hf|v$AiK(WCozQc=tghE(D2G
zJU7@5e!=AZg8p5-4^U}(SG$~C0BB}!##cP9!}XecKKC;L-2Uc0_tl*j)>>~mCdPK*
zGdESP1n6QQF*jJ9M#T+#T3m{*694esTh<2jXAR-ay$#n}EgWFCPCTK(HjEp5PRWc4
zH2_te0@1BnHt^>-{oD2S2;Ox`;>~~M`f$d_150RS235NiMYF6CygL2<DbkD{R0T=N
znfNe(Am#1Vs`+7D_1a>`pqw6XS<C0r`_O`)&nNNP&>@^SC~zh3iY^%18uRisQvqX$
zgV*!7|M1|8zfbrS>wvyEC4uTH1&lf<MLV?o#ZBJHwa}31fcmue3pOh<Q1rbK6*}0B
zS5N3%6FhYQs6X};H|=g?X2hw_AypmteGRr3-Z|RfohZrX^<x7oo|<Tf*&jIHm%w+e
zblSkOASgb{xP}e*PW1?1sKd?t9Qc>7Xn}gUn|es@GIlwukwtN-1P@#_QOf?M39HI=
z6%HAT7?4j%@eVs;x-EyKkiI6E_&IB7&(CAZ^;~<V=Swl~yfq2>Tn*q-TKaO9at@mb
zmi#I@`~?eM(W!M1)d1t?pT*8+Ok)<_etq<3zGF*FF3~YD>aa=c6*Bs95-YgR8IXOf
z9s83bQx?sx4wNZ`>{;yzY@_MDjaK&`EZTL$R6jxunqsbPZLyAHoL@w!UF>?XEA~>%
z9vo^g;+bu|r8|a=(8#qkyANPT>@B6aV~H>s;54IBG>YYzC8j<r9K_1*YnSti6M=90
za1pQjC|3MC>+8<WFeYa`(sVA50IIEaY-e3ZF~8^EKFrvSVYjMNBnI>ez%ee=Rhux1
zVSD}ueZEg%HB~-t6mL|ar64bVn{Eu#vAAHiX+Mn_T6XDNX;uN2%#fg}oH0x)G@nk4
zc@C4k!gk@mEoGptF4GGR7{`2`4qRVYn#azy(5V}!E5l#9FWD906Ik63@vLum7cmh^
z?jc`KC77)(WWCcoi7~0vb5aN`V?smfEI}oTu%cD5nXW&L{W)WPx8Uyz#;kK!*L+(6
zCUm~${~eyeycb%0bsE;N52GB<f0`+PN}B!L&H6da+;?Eh`p*XDE&E?S%Nu#{7BYHW
zvA@S4CPr^w-fc|CoxhWHLk_M~Fa;kGS;VGHeo}3O?P520_XI{x%K<q(bwKvDC5)D;
zHRDzy8Q2S?ab?%Yf?VSZmAn6zv4Ekl{|Y%NAeH=kO^AXlaPuGaEx)&lku^wh73Nby
z!ctpjQKAg!l8FZXB&}n|shC|&yr|)1F)_=VTLui?+%QYl-o%bQORRr&mKIh5orC0~
zr9r&ePsH==Hb&6?Z6o!79#oQwn~n%cL$J+gC_BE3+5I$}`}2ztqPm&~+;XIVa*n5V
zJdX?t75uTyvn-G^&LN5!O95A-WMiE$1$;iex+L;?U*Fb#odv^^kUjKC;bbu-WH0*Y
zIf-+Cc>P-OuLw!_LwDVq-GdtZm16zYe{q7tVsqa5VM*Zmm_qT>mKMBj5XEeAx#8B6
zGwHP~l8|7}L6PZ65C1v?t;tGx;o(5(xahD1$kGb^+xf%@&I*gPk<<LZ`A8hOw@5%y
zUD6R>6Bf|#C}mDKBLuExJ==G_N<eex>MQ>sHo&t^Z#>==f%U>Pmz4h`fY+v#>L?ut
zEbyN<)R+?kji@tze;FkqNmrp*p^y`P(>`qLzAph~vLhWs4wA4NoGO&`fEx@?m0GSV
zN`dIjZ7qckNvIUIQQx@53+@>XdTATdKx5@9O?^iSSP1r0M`HP*OUUWU>WD1py9Ui?
z@B1{*6+Q-$F+s>RFFE>YRvsLO$-fa?WI#emeej5j2nb~>3evGDLFSm#*&84C{{<=q
z9t#lzu|2NTLSq%!(X!s@IVTUwzDeiG=f&Yz{Pm8@K!Bmv`EV*{MIcIyk1Kdcg5u*j
zmUKrV_!xZ|5y6##*STA-c2^2!zmT7d_fms|OWV($7!x2uzXg*`kO6`JOr`B_sDrko
zo>ksoBD{+A<99NYgHy)}k|?Y+V1|!{)KH`jx}mCiVFU7D7~{6LN2dwx-AQ}hRhsZQ
zP${F&M-j&HBHE7un)~-S-riza8*Un<C+DpzL0A8f$=hO05Mj&i)3Vat_aT0zI%^eh
z*GU?C`&1Jq<mr~iTl692ao4krhpO=Brwf{))P#5!hg|i;7)ae(-elAwfFYSkNi&ZI
z#4F{mNp=G)Z@L`X4I;ppXqA$1gBnzC<NP1jjUXU#)pqJV0Se>X)d_+`Sl@|DZdoM(
zwe6seVgdoWZa+Fcc}xXnGehqEYcz(_0|Vh^js$SZ;Eo||%fqk5vr(>>Od!JHLQLpi
zRXC}^9ir_c4TUyZZ|?svf#s{GlE*VuU}c2D<lllAd^mTO<;boH&`$l=94e&@?H2ls
zZ?*Vgq^HaC<)#VT<eqIkbXF0<?e#4c)!D)Rzt7(5O(x)Ab4<R$O&-3Py5FS`rh++Q
z)c3}lCa__z{7S%57MS)7FZ8R<VT_cF6%&*uQ1S4sZIP@roW6A`>dk07KAV3`W60ka
zLj6T_Z){4yNa<CN^yC#>s-f@efq4=vTF1WB>J)=316#KRt;x}sO73+wdlFoCFw)}+
z6o#jZZRAC!G-&#zvxR8A5yUJWKYrpFKQK^x*WLX~k9^3h_&yPh;E{0e{K0l^D1Ih@
zemgLsn2yTVLTLcMWin<g>^a~<h;@PKCNm<fNn3^p0C00DJQlNL0n0^?UX4i>R8#rj
zvH}qURurK_^r3_Lp<iu$XIN1-om=s5T|+qD`qgV$ni8_;$e!A{vm#%8ZKq001Be!q
z(o-tf#wcX9LK;b|=z8~?X^~s{P+0lR=QQ0i_QZ5l|JVu(YU`qskbS2I5#N;#e|j>G
z_5A+PUiq2@-Hv@)KHR4ZA!K2^S4o{%V~wp$iVh3XakdNd64wPj`Rl9f@_D#DwLvk%
z7&Cgf`QXy#H67s6dB~o$+KrPvbbq3f#f<)KyrrrCd;rd%!0WB#V>siJY(cWe%!p9<
zSWQjz0LTSbw!fp9$DKc>o+u7xMu(3&#C;0ThQ%(Q+qcD+@rTM{U&QwNEc9|&Zcl4L
zeo^zoUxRCSBvkpzE;A$6WW$DdM=e+?$Y<NM+rnpg6XGV_SdgO&UASF`CP*CQJ3$$@
zi*rl}onWJ9MJnYnHf)xf;H@?D(!G-mNv8P9&ULb)oO>saylvNjabDGHna3$mwY!<-
z88<ehNG_32<Dda;7Zlk=Ybep@g9coBJ8a1Kw5PD~q&kFM4Y_S9PmNBlFj1&vvm<_Y
zbzb)e>Jadfhg&Y12DROn9r)(KfqLcE=+gPrVSc<=&xeK%B^X2t)*k0X+19I7VwGxe
zBqX&x>JdE>IWreicZdtU-0%{Xa8?6`Z@$ve42-DUI$k){o*SK^-@CrUy#KB~g*l`%
zp#tKVqw-T8v@zOP!vBQ`-G&hvk=87z?n;!|p+CH+QuyG_MSmhpF?+Asva%sw_PvZ2
z;74csIm`J?iLho_y+T33j*K`vFN8G;Af*OAX<bet1b_6qZ%@U690qlqv^|6nL!CJA
zPZ5A}Mx4BtmlF*&x%b;>ilEc3hr{B&6F_S9t?{q{7kX$&R~W@ChSa4Ou2+8~Kqiqn
zv&4rRsg$V=>a&TXc3rRBv@!xb?&+L%Zs0-xB4@swkdQ!PH8Z1;H~~fv?yde%;6r;C
z$P@*QB~gr3%EH7S0?h3MS|+FSBahA^&)Z&7NRRKIo)S3`*lmxn3Tg`?Lq7L+`8m=k
z=RsZWf<6%%$Ikzj=@&vB(ziHV=46n3H<4#3oCweSXz4|hL{P<MxPhyV95R_^HP2ln
z!eLj-^nPtIl>e}gkQ^+JN{UCuCp^^P__c<RhYI3Il(L^`{D%T6j(d!=(WryiZT<3X
zDG8KJMbSsWs)Xc1Qf?eCQwLQA&Qg16N#uL#55;3cWn@<1JaPV!20ZIZ$l;KeLOeV#
z-p*U8pf8StSG_N3LLK?;@Vb&TVmDEjuRE-|-;cwp`;rzU^-LckDa#;R70=NLS^_#U
z(ls>qP#Zq<o$CsamPILEFWz=q5KvV{LB?po0T7rQXRcwBLmJ~*mFzwQ0AfI$zx2|k
zBJ|C?4%iysd=WGuhi3BEX_)U4P&<bSRjPp=a2t4xh-b^AN7YdaVkZe`>+sojsR(`e
zEOL&m=a>SrpXgs%+fzk^sQW!f1`I%~<#4ISHwEPTIPek$l`8ty>nP(cjluFwljReV
zipY%JM_Zso89BC;k)2QkI8-tBUiY{n8cTUsAi<@Ca<6I#q<sKz5+v)_Hd935bdh44
zL<Q7VEgaIJYy?{TzfGul6p@hcddXh_IYfnh_|*_$1V{Vpu#F-G)M;B(a<g9=xflI&
zIoWFjx1=7vq!Uv>mkT9@o<&L`;hyc}i>xFtvk-U4agj%4C0>)iN#dv@=k<F!1rj`F
zc8ExSB!{kVM{1m)6+v0SEaj%kB&c{QG+XH}i!$W3Uend_ql;BXT($&A;PoRU<irIT
z#1!&`eDN1I>S$p#N?kF6Hi4E80$S3D?3bEY9&n&Vc`Y?MWCZh>|I9yaNun2D#-FUJ
zv7mTan_Q9mMqodd7V-F_1bTJNoV^OCL#qAeb2a;UT=w?-h_0VFa_R9qz$i_HPR}MC
z59<L)>Q6}+#>5csGq#Y4(_|>E*p8>oA3)hDvp7;v1YNKxTr!Q_#J?y~z7H1%cpfmc
zUhz{9`5o||&hA>l!v`uNGXpTt30!_1{f-}X`@T%kJGzKRgmIO2BSWzB*9@jj;6*q6
zN{ZjTn8P!C=8h)p8NjT=ou)Ts+(@LC(4J#4jSpV?Y;Ok!V9fb}@5eePD(!DCpnWlk
z*NHFq3k2!INzqCY+j$ODTqZ|(m3b0x_}&;D-l7L&^tORwi)@Hu%cJaG)FjUFx&6Ha
zuO7UO3%h7^f)&-Y(QEI{OyM*iT2jO=?fZyR#o+*IX0%wD@;z*A20t=Yjj}%KK!VXc
zR!_!=mPNK&84k_kCd2;xEnGUV;^Cj=YDkY<?+p8<wk+Tdo!R#SZybQs<8edJs%Vjw
zqh#%A|0O&)hupHMLmRGTOb1$d(V(BpA&jYZEBFF)MeTDvZOC+A4IXi#MnyVtiR!1<
z@I<GKyt)i62w1u36YWoh>XsbUYHx1f(YE!u4m?^=`2Jqbaw{cj6r$tE%HP75)>pjD
z!ZhIozv7MFW0dGC$v~o#dKZ@s<3vFeno#`ipx&J&3e=OJ@YK(M3~g6j5~A_f0Dqh7
zw~p3QAh&Qfah*_d6c2(<-}lrZD670rqm%;q>ui-iAErR_0^DkUgVf>VRz;6TGX>JP
z+}>+zMTK&{r@u2|QHL8r3>RKeP@-`4g3bDFYE<)#wuUBA4f<T%`=jkCk;O3GEgK(N
z#CNw<&saqbIwq42)^<>$0nYQxEvocL%|6D1tDXpom!5T0U86z}FZNTCh7rlV<TXoi
zCPKu&_ZR(Ss1a+5I%oV26KeY%7RR%HZ~YbR)6Ms&(MOY^`2>De^wG2HQE>(VK0qIP
z%Q_9h*?U@t^4ZYF0%%rS5+ID}&W|omI;1qszqL5Zj*^rXmcl3qVEN;e;yX)vlycTA
zb3uy}F;-9&v3RS3OyQaG<PruXWD~qPn8Jl5MxIaG&#Hjm?U=;7dQ521X~F8J3=b0T
zG>VnFqXJ#t&GVvD%*gz({dLsLi=M95aM!V`fSUQ>lY%-{r19?V-|Xl7sL!eV#INf8
z{L7^}tUbbpWZjKhF5MJFHfHNiGJeX?Hn!Y;evchlzfQ7^zb}l|U8<eOk1K<XkE<Am
z8YhZzK80T8h$6el-=r71%23az?R4(}7y4sDx*ESHhLpT(eocci*kd9`8%Ma209e-8
z>q{WvLAfJp7nPwZC+YgO8!vhueR>8xl|&Ld(;7?J%CImc9Xd(Jj~+{GznPnsLXVGe
zFiG*K0MFNOZk`4K)WQEY;f#|E3Saf~;K)${|BiR&(J4a6RnuNRqE8k%#?HA}T~~$8
zia`G9*CI%&*lCR8k~}(+tc+W$5#ZRJpLaa1#gOAynu9{C3MgXY>E6{Q0<f@OX3n@O
zj`)A(zw`)FLTdR#mvbKwp+N3|<wCdw`j7S4OBDtc6!eimVz5$!&WyW#du5WSSZR#`
zzpsiSc{;0?&D0_Ip5)1jQ7I%NtP?+SnSieQ8_;uJ(11n8sB|el8FX7EdaZPifbw?W
z{c5r%98*5{?ZQD>bT<iSF}zDe1_2dTO&eMuSC$l$e^n06Rvb7a-AY7)E^|J6o(G`a
zxOVgGBY9+*VnM07Nkml|O>YJFbl?qX?3LU@1>_g}&|-dxh^niZ)1wmgfTlVk!rWOA
zEx)1+)h{O^x|A}~0JiU691B`>0!rx5Hbn=k5fQb7DMxkp8N$H{MaivnCG^>wriUSt
zfEaEaR20_)_#Svy>BEi^Iuy>Hh)$`ZQ3h`ti)jE^#C}ghNEu-Ym|DMtGCKZxQ!wVa
z5p>><vOTk_gkl?Wjj2)<P$5z9!#ocOvh_K|52Puf^LXWNn_*crWLXrN{)hw+XdYz1
zq=X7}Y6@zorIC2V`S8eZByb6KJ|$wHh-zEF<BNy{sxl4VFkT}84WmiZD?J7DoSY_V
z?70YHG+7H9qcDcIv&U<fS>#dAm)m8B<@wQ?b*u~7A_<=5F*9f2vS?56{FtvY7dp2z
zrpDYzf>Z}zvlts0RPCna{^0^EdM{LMBm9H}0=z$6ihHF{#X@l8&nL7fCTrHyU55lq
zrT=l>w39>!?pb__ZzDs~k>qZyeMTTTO;#QDM;t|Q)c@}HTE)d5iSJbS7=dMMbx*3D
z7%H)A<9Sgqi94EO^)XCFz$~-U8`36>!a4j?7vsC|Ba3}^jFSN-?x~Kau?nJjm&2`g
zZSU}88p@C+6@dKHjni`8e5lJ@_QkGn3+D7wquALWgQ|H(x@2-5bm8-z9jm4;Y+UsC
zFOheKkPue5RQHJ!2`FE?Lp9fr?W(JuKKOlq?^%3I{h93OIh_U1?%+SHIB4h7=PiB6
zbg{J?3uZ<3kE+jDKN!R&W>#2u2>ReQb>Cl_hY96#oNs!`HHdi<o%nsO=m8qH8xh~5
zLr0dQ*_Va~u!YvWyA#>EP^-XEc1NEENh{Fba5(fA(~VczuvpN62D>b6jwVW!*D_qJ
zvf7OWI7m|Z8t8!OrOgEQH{|GUZRJt~e<#NO>#CIUivw`v=(n|e?>(I1pZSV)ODooO
zKfzsbR2#myHgKCtZ{tiqwx4~ZtjGHMJp8pu+CWuY=N@o)1AlCOHqKeG6noL!xXF{I
z1&1?IzBaY3;sZC6y)uV<@ynIihnI9(FjFDbDpIwKZ`!|896DK!lci_s+`FL(cMSVa
z8LlkiVx{)qYfd%b6U@9#X#*PY?ym0RT)zc;hq5zh%<U)cMG?k3cv1sQ%w3#5n$F{G
zZaJ1$UUuT4BW<G`P3q8F^pTb)ZWhl?qiCJX>%pswHe<Mr)q(x*w;o2W8QgO|^Mg9x
zk9!-xtonx3Ksb4;v1DNi_e@I`o4z!NM~;}53zO8qb09<FuiO;wqG=R3u{?}7-5$O@
z->{!wL{-0hESkg_JYzIO!^d#-YgG!W7DT9)vzTcNp2W=`8J~|-pTvv3FNrtw5a5ed
z8CLOT6901JyL-;UH13|<ou77@0NOKGpE_+#;{T!~8@0dB;YyM*M?Ke6VIogoJSBPx
z_dd}iQQ*3O^X<K=n-W)rSY|tNXZLA5XE?mCeR~n_|8c(g?MW4IhfyuB2QxU~96vW@
z-ZG9f{*VVgQ3i0_eIC{_i}$^sw)ON|#TDy?i2e;q;L>y4MMPm9zxmY0D$;!&-!c1d
z<ORJFtVSm#tuQU%-hWuX$^>uXJ<7(1OHV4o$-itbTv!+Jdpjyo2b;HX8=+U?OQ{O*
z_t@)*QMDypAhGhhtI;0*>A_nOhc$U9IWt^;{_ZmVvX`z+W1S3Lyh(e8{**jSk$tw1
z99h8=9kqr#u2Z10CVma^4|3q}U@p4%&Kh1SRGv;rM};_QVv@Rq<)F9B=4FBQ1|C3r
z6nwu@Bjqo2^|zkMg4gbEIu+?Hyo2?`L8BsCq`w{He2PjI1VYEW&YJGvzpuJIE^DGk
zv0shih67~aaR0w24T*dB(vSpu6gLw}{P(G*l3oUcKYx3n&PR^knw<PS5yyhwb_Ndx
z$4SF(+=tnb019-@XfBO^pC4Wqd<&CSmxdJ%u7+TCD#U2+ydp;AKs(m=BQyR;!NYa?
z7}x#z)*0>E#JV|=q{Cr<%TOthn%bt8&ZI@}D!)Fq&f-Rd9QmuI2c=*}%)vUNoF4s~
z{_ul0ofnM^&&3vSNx|`6QD5#&MkM2(ar%4fKL77L91C2Q1m|DwgT3A?XxhG&qD@H%
z4Nn#_4~<Jg?((JP@2}X<pPKfIwzvqo=n>~bz9I>Y6K5zG*f`MPuHJRQdNE`p7I-2{
zND8ux9+BwtIgvw&s&L;S2}ECE@SphwDL8NY^1PH6H+rJRWu7uFiCoE_z7hT<1#gPZ
zy?JKOi)bR8A9}u*M%}i#eC(H{LCr4ZzKRDwa+ke$%`;FIT`BRoyr?DvzRHumzIlRZ
z@aW=1sINTANo5c|qa_R5bz<7uydo%#n<PQ|L=hdPx~BZnPYyy7FG=y)h@maDH?&Gw
z$|$!*Hv9&o0_2~39`5x)97)_>PcLdyMH6YJ&z5Hu;cN5QFoT>VdK+v<C$~dDqv_f{
z<ti%R7F$lGmLrAg2UV~vIyLlWqd%N~UtcE2J-Y{WWsuc(*Y0czbu>^=8*Vd4gzeDY
z*Ux^*B4s>(N^U?M&9&T-UCCAleIc`~@qJ!dxgqHm{z?Ni*BJHL#A`zNWgokqWd#&_
zXxvqYLlZp<efKrGLK_aQRaJ#vQ$jgx(!+j7HPKq_4(i(00cMd>&*XY#q$x3dxI<kN
z4Hr6^&z;eS57DNSKj%~sJ(*a=vsw*w(k&p>t;P_(wpy>f`>Tp3=PFKInNvpwC6tm`
zVE~UzmtTA$5m2t9a6EU78d4c~`?V|02#yVs9qDu@pk=k-f;|l)I)yXtSiB*@p=5XF
zU;EsnEw>z;TBm}3J59XlzhMl`8n#-a+5|Lh+HfbeL;(pdr`&JkF@fbD&saGMR8jh$
zSohkCGN@d`@n&3z2?WJuJ?@QBL04o|{x&m8ApY2?gD+}LfW)q=8cR?{pXbxMQ!@k+
zMx7yevDpM}ofkg(EmRRHT~YkqSjUOlN+S)kGWP3zb3ZTT$)nYO=_RSB=#kP9$@qH5
z{rc>+=tBjvXr{okuC;FixBV*@xUyypyrh?}G7_Yb)J(OGZ(ciojLj*@?!GYymZ&b3
zKa@mj3OnuH55}?9N}Z<`D<n8}G_}+Eia5G=Bzz-fXahSXQ`1fEN`kT3yHxk<L{R<G
z$(a8L6hPpmVLaAh1isGF*%Si;=+|gA`zRL;I2?_R$Bm7kz4W{UL5&wJU$fE0|Ik72
zQ|_W~WdJwq*^_lXbE3BlDI?8=3_!a7F@9~I2QKWI^$G9m?p)T?0lzjzpiVp2C1!^~
z#C!Y38z&i&rvXPl`(-9bzdd`e<-8$C|7vK<BBw!_XQN&pif4lV0RRC1{|r}mIF@f1
zwaMOO@9|mR_t_)wF-xTql_+UvWTgmMp{O*ZB%|@GkhDmJ-d7S8kxI&@vXfb|e*V3$
z=X##!I_JLcbIz8QTGfuQ74X#YRC8vqQYLpp`jZm*5km!cwq{u2OU0c4?vfcY;mgLA
z5%&C$5{RziueL;y(1Pfvfibc@hLW!w;=_Z%Oyz5{7GMeFk+{|NgS343v7zV`A0nD`
z)vGKma6|a_tDv$bl1HtlfQ`Y2<nKPuiW1BbZkDXCB6N=!7y113><?bNl=@<E|Fan+
zi(7VXy!VCBJezu_@c}R5+ae}4_07<KE<ZHv>vzKWses7-3|^cGJu;GZ#uO<k<jb4$
z!$bgci{^=IykHGorJOinf-5HWM;<cA3Dp<InJ#s__;fm<@5T-j$S*4rb<db0TIn_|
z@(O&g$h{<(_rVzA7bJFGfAN>l&*!gua+wcf86orDPR4j$wzqff<5?nD@r~eV3w}J?
zd|a^LwGmQw_MGE8zCcI^pV;t~TL7<C#}ENdMkx2J_I;DZg2^0&RkH{}PFLUV_6I{a
zuGWbD`kNJn?`}Pb&=A5tUYD6II}C9)$MJcoEjtQ2`Zmg~5Qd-n-!+%Unef$m_l@r|
z2bw0@QXeb`BW(zQai^GwcOL0780W;;`*-G4iwG<wiepyNn5cINt*~_GM)uFf60JH>
zG`%?<soucAq-YGEa6J#o)*ngi_$r2tBkE}fA{dC{ojkL{jTbCZ0&+ua5=diI)CcM^
zFugTLt#phJN^YjX2UbbK+>U$x-VZup;x}|WPXOFvN|F(GrO+-=@bB(zIxc3I=u1Tj
zVKK?i-%f8iPLTHMd_i=K8=CihEEPubtD7<3-pk;UyMW+HTRQrk1zfeNM35QK&|`95
z4)LemiFpM&4*aYvO6(TJm*LrF*~1Djc;)kVFBctssa_{t#l=yuRWmetg%Xa1j<{7$
z7$A%PE_?en39uAh5eaZnMs*DPx1Cc4C^&xalViCgBA@I|6h5MYnw4*lgO`qXw?lr!
z8A{_&s8i$P0#)=j(0?h==;%3L#jvPa4zHHE^QynpAZr)Wu;58Y`IDdim433Qo#)+q
z(pm%W>h^7XaGj18Yd+;EU3uKijBm2LqKT9P*P^B7mvE?S)KlV81f@}_|Ms62yzYdo
zmk(m#+JPJ6LlH`_NS7##@}fajsBul^90N|a5jBHR%E&RbF*@-=2Nh`@!RG%lG1e+H
zyzhhxOdXo#YQ*$V(c_Z2@qi&7Jht4bmZ6G(Z~J^IH|c}d;hA#zQol*PY0tARR71#%
zxT*&c1`yuXTXk`jF~)MX-H@f!F?Fa}{F@~mC!)WY^6W9e&2%DYZ-WL3>Ukp5uF>(v
zc7wTCrYY1;SMUgb)<mq;oWsQ>zO!?3#n$zip;Iwy$H8}6a1*Xhp>ZztN9PW<8b=H8
z4<;ROE!0LOyH>2*KRWX5gf#y=v_!EIadA^H4H6wX{zN4mZE>t;+LTs+VbNhEBCdk~
zH4~lJTj<#2H!_A4Ys_X$nkA>|z%}&T&F7H@XyTRJYw(@G6WNLFDXlt)buZogXh;th
zEQTIV7l4shr+5Va=s;k-W8_~RT?FwYS57P0z*x|najruL2XgrpPj+jASK;|N-b@>u
zb*!9SdtL_z%VzTjk~Hy(CT-;V&j$AI)uy%y>!2g{){}02bxa?X>D7lVwpcl=ySv2G
zYvFshe=PBEnEYH_;cJUF(~oVhW3|y?W%4SOPYD+<^gb<*uth@0g@v>zEo9fM`jN0v
z7S$$!8GXUF$PsxIHQ=s^EsKM{13M%!1z*XAjkY-a%sEU=UISJNj?$eCqS&Q6Saw>;
z7O%B)_{c^z%&j>xz3YG=;>To8hIQEBz^v4YiHIfM^?s*rQsqI*?M(BYvo_FI7Yz<l
zQ9)+hm7n8{Y`ECmLG_#3V8@t+r$)UJOuQeSXK$P%o`-KKTlW>H=j{qv&7z14Z_oUB
z`(TP#pVs^P;1MAG>}w^J7&(X*@B3jR`<w7i>iWkJ0Ynl_AFh&@fyI6C@sX-N;z3uy
zn8juS;T$o{s7@(x1r0~OE$k)|Pf8~iEb&+}vX?emD}msfhkm}&Yb9PJFVo##xdQq!
z$M;9Iih<p&r^|C&GZCDdJ`p)<h0pY-Gwo8Mu+Y?7^Vs<lA+zdu;ahVnNJ=;Q^d1w&
z1u4&%q^M6s5lhf}D#{X8Om-Qk<$`ckQ#|E!q?zztP+y<($^zs2{GNLy^1)<Z_C>SS
zuY~-~6&_I{7VsFimhrY)hVA|XLEWAmgs-r<mB(&#G-rQYsbRs5TlG_+2im%cgw+N-
zn$OJ;ovU}<E`k&HBOR^ey1o<2lbYvhCCtFnDp<q#%Z>~_hm~3y{Y035m7UTNQxu*)
zHGlX%8=4dz?*DRah>)7e3KwiOfk(tk(~7IC*f>|K*y%V*SddjIq4p-Y@p?vJ>?sS>
z$Xp}$<T2v2^MszsBV(lg5`XW=&VtJ8x12{~Cx{>|TO$iKW8AOY7m@aBfzZelrLRkw
zBEoNs%==~<VV8{`SC#4l5qD3#?e^_I1oN)g(<kCaDBQT8dH32pv9s-2xn#=>k)h?E
zD3oRhw;JDpEbn>ZR-BJ%yz(5e&@J?zpM)W{8nR0l?3gF4PCwxfPg)>a6s~1gUuDAl
z@mZf6ne&9*v~~5FL>9~pTAh;9U_wS+;k2O80&z~bel_nmRy6KGXlOA54S~C^)5;cz
zo}LP4TRV1?$GFxvJ2G%2fVsUZdy%NFrdKUiaX_-OP0qEQ4#^Vj3~$dR93Gt>vfIIh
zZFzNX7Q^UxJ-X7Hg`E}Ef#Hdc(mc>TVI(svNk_tWfkD&PtQgI0e|mU)8CspQ8(KmQ
zpi^?AqwE$N2HjRW9$C_>xWu0-eAW6eNXe2vb%P!6FN;U1F7?aLq<6cPDe9w3fUSAB
zf&+TjGU+uY!Z?&0XzPDm5Bv|l<^{}fVwtJalVe9kP_m4fKQgWh=GP;4dNy;z!y#<p
zSF<Q07M5!V1nA<@feXL3weUdXkM`OFF5;NFNv@oo*1?x+O)2zPUPM}RdD{<3Kwh-;
zPV*TZ{3v^EF|>gnCkI>udu~f%XrI~gXd@lW>^PUO-dPYcpQ?!~Ny{<5UFUT1FbySa
zAIvnYgyGuK=zQz6EbhLz_U6=68Ws($`H%XFz^HHRu5g(=9K#LE12SnS_Dr6lKNdw^
z+vtfm%amXgDA}WvPD8oQomXvA;@FWpp;5d>8K2pl?HBLTKs4H}o4q1|6;&+v&)if&
z<vr?8W)BVF79ZFLETnKt;XA8}h#Iz@fAUOsg%0{elI&||rBS=_$CJ!7b-1uD-14Gy
zpu4rocX#{Jewa$}UZ<@Ii(>;W8-jHqb#~|$cb6O<4VQGDXwZV0a_ZZJO?o&I7v8&t
zT@h@Lq<%QY(-1rPMY%FWAKrnqa=x2NNFD0;oU_zL?7ph_=Jy6zyjK@J-K31=7Y3=7
zQ+l|t+s-_{l#Vbs$Db8ag}sNhPsM)*5Dj`vJ6Xs;C;4k$W3w89N{aHmbLo(>tU3Ov
zh6$FQ&Oqs#>PYaP8-D4*z=r!7k>0#U7!cVLUo@rxwkF+;*Ov4+F-bKm`;ajN^ag}P
zt+eoK=ckiyQA~uM+2~1UHATh0a-KDj+W6wosMz1g#Qvy@B`HN_=vnhS+T#ult{3)q
z7mhK(df>I~wNMLOj_&pfE!Dxr{*VREFHB6A>#Th1WCiJ`$se}e&;{W*Y`iv-3FETS
z<Z)$dl<qm0*YBl=s<80W4_g^<==?h+F-ia{88uhF>p>{f_2c|sI%<VqM~i#_v?|#)
zIO*!+VV&pYiTeh~QLC~My<~&lnDg{^bbUnY#LCsN>0#vP*F$d!TL|UtFE})+2WI$<
zzpZRET=`&Y*;H!_{UP2JJ_q!0de%P9zFq_AwAh|3Jv-RPG`kh&=q};iJ7E{6in9i+
z7hm|>fg`teh9^S@%|4gP+?V`V{ZEy(!%247<~2~baT^Vx0mDMx<}#>oJW}^8+77or
z#KwtFX@Ns2s3gu;95Kw@g&OWl_ed`5EcVxg4Qaz7?I{RO>rX~v(st0xH9SyPuMS=V
z-`(ysPAr$nmU~iVi>xiea;H?(;C*1%+xYAM2<4R#l!mu0#C2*v5}_(M<hDC>LUo9U
z9SEP{8n;0hn{+qVJ0%S3iQMIwtRaRKd>qyvvw?J~>jx`O1!S3~B$urFOpXpGW}9=`
zz^lsYM~SU0J`LS|-R{~)vZYUau{#Y^hHhE!<0g$2<j*^v&cDe^_8u`d;((}}e$Cr-
z31|%5r$0}eAU{6(^>E0FfKf-1fikZcJgvnpsb88Rvy=Ay_1<EQ2Buwc$0K3*JFMrD
zE}JInjhMk7!dGC2<rj`|MFH@<6x2-6{zGQxv97;+-3sB%*N)*>h7$8pn|p$PNJ05p
zc8(@XFg^~YX;*RLD9`28$aB-AcT1&H=`u@vde)+O{RSHhe98iszn>xvSGjGBUS)yF
zSo>G&A1)HC%~?IgU6W+Mn8GHORCB~8l_yD8{3D`xuRE=6n;_r%A8u~{YKB*v%1RnN
zrirwZ)W;)@<79&Fd|#=K8Hy4GZrqO=Cu%)+u2Xz7M*b~KK5BH_6#iB-UU9Tv#70-n
z0^Nq+q%QgTDod9Mv`c(?EDZXIYtIMkb(=;>8o$Br4>l&yPyIosjrI^duY$YYnEWC|
zZw(CZ&NIf#eH-_Q-DxB4`bST#Xc{J??i%$(i5a6dfAr<~)KA2%^f&Tr@`lLO|M5KU
zi#NhrlfcJo+TIe$#%JwV%Ld8dUv)i)rwzeYx`wbyDJKRuH0`qD8zf(P$^V)^xTJ&A
z%)RuA48rV3-Wk3t10*Xgx!z-d38nS`#jMMBN!ylITaG;g<ZM>Crr!Z3)*g=tTG2p~
z$EDw|P4pWe<Jv1~g@+iJ3N^^yC09#k6RJGJMFV8eIENlRn1S3rBbNO|4Wyib>eUx|
zgCw_kzWReDU#u`%e!P9>M{;p9hg*H$AjuKNNIQCh4(0l>to>v&+2F~La&8|Y<L@6a
z3X`Ivqk7NssKu`&XYtP1VZjm7`M;BbI-3k&ew`_Lgx*dTtn-!maqJf<X?`U*F-{+2
z7ZR_$H|Qcu)Y(TkB!81PBjudhAM1gec+9w8*G;C7nL`5tW8_ZNl1hnTU5HSpim1?D
z(#&czpQ+Y3DZeJ^p#)7AMed&W@9F&@-wxWG?AkX$4zT6+)g078|5X3A#krs4&v#rl
zMBOAg`E@cwwv+}h57j%y{r#l#eD#8)=QQc{$mACX7Y%w&=P!So93=l#nmA=k{w3@C
zRZEX~Xru7a5%Wx~5wcLjW+0aBADKOQ#VM&+3zr>*ST`q+lCKJ57~?8)q=%i&MGbK+
zu!dEaX9<pxLaCL~g;5J+W>RTD;89IPU;F5||L{1e7da*xlfpvjDQ`85`mTZdX)ePj
z=O)OL&%;uO{<2cr-2EShZqmTcN{e$<ccw@!TORfP)9h52XLRz}I(7Vs`^Tjj`G;&9
zd2&f^H79kR&1sp$YIVr(i%OG?oFUmyR9-x9#7!-~6nkygdo^SZ&PMtd&XO7`gxix1
z%P5hq5dP7vYUpOu&)F!xK&IbL4c~i{k769zwtfAGDn6ZJ@gugeP|Df4Z~7U6l+)du
zd8=eq&@&JHIp4raE!+x@n2!~v?8AxvEPYkzNN0YH+0RaSdlqT+@{3aXel<ARp@IU<
z9o7#uIVtf+SFewfVpOPlMcn306<B`~GL{kNro0dEFtf5HsO4Xc!t!@7)rE``X6ef)
z+do?tlJcdfQ~AG)Bdt_GU$uX*E1r+i8_IgWt8Y0)O;0oQHC4cQFTV7updh7Zk@2m=
zLyl@@ypGD%P(eL%w6pw$sY|~u%^c@eq-uoEvs+rL0QPbRrzb=xh2-)%o4-m_MfH}g
zA|WbhSb588F;|TGq7#^Dd0K^<?|rHC>$M7kathZvACjO7J2OV(phlf+To-=ORuw+U
zjv5<+q^QGJg1C$&G$^~))Ovv-RfI;A_tCB_r?ysZpu(1EQ5#j=l`Lx2Kzs4|dHkp>
z6>AxIK}?oL8D)L_<JhB)J#`l|twR+kk0NuEWsbVkhyNnvJ#01MC=jl4HBE`~(i3?q
zl%P+!>y1*(aV^Z(j~(C7u0s7xEzDuxN2elDyrp`U2H#Bay;UbvDdTg>he}Q|sI{>k
z(%DP8C^-_p_Nlx&^{?^4`@!o>%1i8ZV}ueN|7Co${7h+3i-83q+wK@r?!%*tHq{LL
zC>Bs3@ztV|OgO(4pEjcGbuE&^ZyLfdg)gmFj7Ei&y^Zd%Gp2$r3MdLZGe%_wV?O<%
z4#mfLBfql3m?{iA7No{v1}WWRJQJpRR7r{KF{>eC%2!ij(LKNdz7F|<E?4xa@2gZ?
zT3#4aEczL5Hcwi?sxtn8aE$?V$2yDuqP{Wpb>aI1;b;O%xp_5?Tj^BC_zk{~#zs`#
z#|HlH8Q?#`p<SAH=u~f=?Z?q(CiOKkU*o5|Ef`H6`2{s}s`%S6B`!GzCFCj^dQ-s;
zs?Q#a>6Fqb``kxqrh59+SI#2dfH6DtixnSp4W&~x8L>Qa<=Rx~qm>VeQti?HdHnHa
z7CQCgr?|t+a&;<Q!P@l2xIG+lrMOBf^r^WI3PS-=O4Nm{E~bit16Wp`8-$J?^-HcY
zV4bEkH6>!ytRmrnbd^mRO<Q!Rw*tw2Kly~IS0k@hcXZez`q74o8?M^auD}4>!4g)=
z<85W(@&tQqy=LbJ15N5%%%r+^><>~j-&00h&>nKXdqRBwsZqDHL&pAw_YzyZKN*}$
zv_sCMZ?b8X3g!OfQE#m2KcedG8z22~Tcp?J+&-JGL_J_@3EY^(j)SW=t(EbxMOP;o
z(KjVWd9M@vk83Lrl%8Z<pRKgPyS-=9Ii{qki&Q|+%tt<KYPVLA)U!bf#izKIDM1ZW
zkGVoj1aUevaAkZpz&`x-`SZsj)WJR5BUH<T;M?Mq6tLtg^mpCyG5E_*9n2HS6k8*V
z?sdtvWoiUAInbUlrMRh)FC}!j2w}X`{n%8dZw=*@@APIVR;sqb!D;7GZq^y{Ik4Mt
z1?smQc|df`kYT)s%uV(P<C$no=67E!be3*a_hpWe8#+S8ep?7*vo?qJnyZ$W<nbd#
zn|sKXznA6R_=K?|`5*IYvjt9W<uCeorHXu~I^x6gTnHC}-|zV@Yk^NiUE&I^?}?CA
zCkJ2o34!yHTl-pHbA+~=%O8H-LkPsp?{6{^!j=_0`z0&QkS);apx!b}T>s)?Fd{32
z_3QGut|^+KSajsjx4+}Wbn#H8w8qkTx8Tit6HQ@1u5Wx$?hnC1MUU`o5n7^Dyku_7
z1i#ZGCJ*=jBZ6`W%ZP_Uu#R6lBfi%JWezXA_Z(axJa_DlEt3_-dG=V@LmkH0cahiK
zw0$XGJ9HjcbyygCHh)|Gd;3!TR$j#W05)_MoXFw&DU1ZoQme3DBSe}SgpG``V`R?_
z_k;iusP0m#=Lj^y{7%Mnl0PT(4lxd{5)wrwSE21K79*TbaSWII&IKpxNmFaBD01qH
ze}-ll;@svv<%QdMU|T8B*Kkz~ZijyV%r!B@Ca?0Y+4g1VOrLpIc~Trj$M!YsYGop8
z<Y(C~A3pe|>hOA=lfWml=ezh$F!74kyfDo!fPj}nr`JE0L|9P6>lt$<c7#}#op~sT
z`hib_?&DGrPTK$P`XmE)idOyUTH=-IulP}a-Ev6HwkMt`WgxV8llz>u2-dlAdq&mB
z;KnYMP1}z%P(P!!{-LHQjP5_H``{%9tBk=L@7x*SGG^mGW-JDe_hIoD#1)qO=(<n$
z%oqq6>#TX<CJu_Pdu2zzA{-vgN=>UWu-lj^@i<8W>0&P5o{uPDEGOc0u`C11mz}))
z>m=bXnGjt!rHtv9!r4;F47gmnIa;eB4XMrQe!uxtQKi(R>u1bB-QtPQdoL|VG>2^-
zkAWKI{^s#XF6Fkyr|W%FWo7Ze3DJkPt0TqTRxJG-0}VHGc4|G5gO>5p$D<cDAlmvt
z_s};6+N!s&$=a&`Gja2Xm?ll!5_#*hVhJ~WrO$h}iz`8-YxLzBQEg=Mh`59lF=5`l
zIjvzq32zH}<5Skt;4|fs=4WXLuN!SDwZD~7m@*yjm!JcORF*WGZbKZs%EA%cuL5`e
z3)_VYbn#sOM^4@~BW&exru=(Vkx?wUCjF@%3ZQqa_NXy@rTIR->rlgmOJfuCJNgKy
z?4A(vH-U@s-2>cT)KQZkxFy)%07qj~c5ojtg{qVpCr7OY=8H$7GZzeymR&TXk#2_e
z73Xg&+|xvYz5Z@-8Xbp@KIST|Hpi{U6@`v*TJZAR(reD7gTCmZQORbBkmKy!8iY1p
z?zpnrNSqGa%sEFHM=Mw?pMABZTN??(Q5~zV8Xz$(+5ObX70}!fW_x!R4c9Zg+xC{}
zLvdC2JK2}ksJtB1ANYa>m3GSdLW&+tKiZ2&4HD2x4s@>iO~c#Px1Wv(>OwR8l=-VD
zAl`Cg$Jc2Z_zXtegEr9cyhFojXaY-f)^yvvVJR;kZ22p_T?;-Bi;Qx%*dPxhd7VdT
zP^t+X3$xR}l^aH!xwmX!T)Zr5^<QmR+YVcdiK*dSWJpAQn++~#rmR2UtPMqP;}Ypk
zWmvj3&PUDJ;P6{nYu{r_`Q7t)uab`<1j4P->p5*<!JEG^{){F9UI(w&v6qEZ#Nc(s
ze>TWgnP<OvTm$@1{^=C#l|tCf>&EG=Hn86`)YiFI9rx#gAFFgM%|XC9>5@Vl_!qy4
ze`KKsr6JQt22X_{b-Pf{FvtccLeg)`^QhwF#(4X$V|*xUf2&1l*}z)-t`_-G8B$lc
zw;s0P#_fDw+V>V<pX0>Vj2lXLKD5`}-<=(ktgMHB!~?D#GQopm3fLPF&=y2vK|0Ic
z^ygYYqrVRCt717M2nc-BUO!8G<?52=&mb_*5Ovv_CIg+eQ)wNMe~5SA9_cgNtg$L?
zTBPH=G|sHDa_%abBnHkJnNBNOL#XHawDr;+d9;u7R&~ob5nGyT(6?s=MpeA-IL(N|
znQQoh!^<(kWdqL-?LsTmzj2jn*&~KMA?r02UB`%Kk#yG7X-oJM*MH1TiQvU9d-*GY
zV?=L5sPc7tOZZgv-PSA=#?HDg4UZPb2<^p}mgFT12wn-@m(MSRnB4c8@}uKK$r|V?
zjhMrVFK@pSmjFUv#%KuYO%hW<503S$G)K0R#madbK7`z9y)}P#iVzp}tP;CphPwY~
z7uS_9LkNA&bo0(X#EM;yzCYnLgZWeKu7Y45SjR;EQFfRieD3eBtPL?m@wRTS1TSu6
zYVNxB)Mb`Xb0W^zb($cu-Z$4Th6@^h&+QI5K2HR@x0onzFagnbV7=-GPWT4CIJUE8
zk=VATLScKgG5#c89xvL!iMH>q@0Mw?V)d_t%~RIKcye&gcl#^{E==}i-aEXMzh#Qk
zhRThQ_Hy^~#`heE5u&9EH?yP7fAEh3VT6{3O^%DT9B46)jmcTfiD2P3HA1fq;h?GS
zXVuSv-UO`>+Gj3oxKOX^;bMq0u6MpMb(Y>;>`>_r<AJ>NyAM{~OlWnzp!c2QL}kqJ
z`4z^zIGT4@<;!6vdS|j*OQgBLJosRYRhS?59<G|(AjE`BvGu<VFS#)4xb3nIpCGc=
z6o|FmV<2qs?z4(B+$fVU=lm-!jCFo?TS{CQuuRQ&bcy7Fh;`b~S5pxbx3yf-n59G1
zxO4NpQ_Jv>mYd5OBnomZ;d`=xj`GEq=H(<WI`00LU{8ucCV^|ay*C{R&xf1~rTO6}
z9C##7Qv#d(zU}-XM~C#j_#1<l1)y9-+FvP<gut;8+5AcaBn=fDmLr7V{cz)_J*%Zr
z7hT6_+-iW??GMuUP7346K%7n<j|`%9SoKQS4WM<CThK2_1Uk{>X{>#+z@?V^T9x{U
zzj<Qn$yHITYm9FF_){LAH&@@bxu_5GzJ_HBwPJ{A9d=9SSkkGrqtxygeaJkQ*K!h)
zz-^6f-D@<Jv0^LFynUiRoW36-QUfKiAuLfK!BYj2Ql&@6^7N6f)H|0uD1|+;r`v0;
zslrt)*QIVmA9HTLmzKvZ$L-(jof6Y(urD$uPH!;)Qo<D-4P`NU$Vazgs|Lax$BP()
z2FQC~H^9a!54T_RA)_~%C_8gl<)0fJ8&X*dvIZ2;ALbbU8`=;IxVPs*Jsm46@%-aq
zB@`=u=wX)A@UAzWVA;vQdE<O}pLk{bI1yF)-AES|X@tMI2ooVLO}APzmj3ONr+nz9
z9uD2HJ=NXG#Qy*Q0RR6Kmxn*q{};#Yz4xBiy4Jm}y*|f9B_)KUj0%Y&5{hJ|l$G!;
zDj}7Sot68RA`wX;B0G_lJ^T6n2j_9ld5vdz;A5?xDp|Pt`%h)Vt{S*T+;JA@AOSg>
zc*OEM4%*af)p#Tb@E~edRO5#x^jd$<JhLqa8Mux+-<}abF=jI62D3K&@H4Fl6jgw$
z@`arQ0U~_m7W%+%rvqQ#jk(eh6@g?Vu6gw|5o&u?gKesH;pm2K$q#KMI8>_g6uUu$
zK;3WY(*%8p<(K%PDUXNy1!_7ULy4d^nYT=-GJt<lJ!1=Ncpxn|F_aq<A-8R4W(|yB
zqAWaYJx>`vejp#c(oO*3GV2#d-Wx+xJp6hruLAR@rABDw2r%yDpJpQlFr3}JBO0s%
zoDEmprqk5GCxI`ay9FR*HT~OiiVE0jd%nIBrvgLP;mjkhCSX5VtaC0<1ww?o>&n#d
zP;$yQeEFvdG;d0>Rf?;?@KkwH`eOx{zm=a?Y(@tDYxR@rNy@-ncV^?>0uEGuezFw2
zLxuvM%rnOAc*s%BNUGG80qWD+t(BEzU{nh06zo@meU9FA38Ip)o#Rs&{+0}8M@V8`
z6h-)=dG~%ky$E#Y;9RpR$Uxw%>FJMFfYWP>l{hPY@O4#wA(2Fe=90|LhwAcBLJ9g?
z%fby!)LuD{?aAPlM`iu{BMz+8%6+SoSs(^Vw`W+%VDWx`*?-QmU`$nA%_2kxe@n$^
zYbs6PpTrTK{yAxI!k7I=w%)-OO`Di~9ZY~9s?*kDq~Pv)gMswfWvtxE?k>$DfTQrn
zlYoN~@F(F=a&N{oW_R9~dp-`Jq^Eqa`k5$f2=z~dX#d1cpWb&|MI2z^VJe%pqA)CU
zJPR>;^9dX8q9|Q;#~>)u`1bYB0-!>YTAqDXfayKbm%p04cgN)0YmvEpa8)Dkh+|O+
z<!n^X%ml><1e{Hh8gh8x{ISJA^BP3K<3)>`mJC76Tm~QC!3Das70YyQn<xPl1(Y%s
zL&#5a%S=7Q0qfsSz2d#|mXhs*6KC`>fDbI$|Jm8F0&US3|7Om5%75C?eLsu!q0nxK
zBlj5-$oV#$9$R@y5qUw(&|TL9KdVpi+?EW`UhFExMU#Z3)5cY-?$d*#XTcO{)4|jf
zXK%%|YK-vq*4w`ibit+Vzs+<H8hG&PpGxqp7A&96UE$x74p7N5i(UFc1zqPQJKr{T
zVP_RoZ~U>*0heE63>gc%*oiUoBORN)SVXMZ%{vv^AQD~Klb*MYX)WmHZJiv#gzHX5
zl#6P^_tBW)w%40j>%jxeF219f14n|nUYr(K)r@X7OK)Ima)DOnwG-Ii3hRW8RZVzu
zH{!+D{xxjyR;$T0_iwE0Ci8l?w<a`>TVG}Pv5LhLCEb{U|6oYy%<{`o60o(7hiOZ$
zVobt`BGj|<80O=1*UN<jZO%Ez86K}-<K=d{`|B4mwuyF!<v|Syu048qz+nYT;%IGa
zNm{~`P?3<)DGg|rILX^bUcsgnMI$`}S1@_I<^|Fe5v<jF(!RN_V5{!;mX<E8VXp7q
z8+{5Of?RYn$BCCK*kss)+(!``7@J28qM|0kYW$pJy6h@umbaceTe5|TMy7PP-X#Fg
zQ|&+6vWk`0zqDwe-Nn3Tzt$-z?&)6DaAP%X4SSa#bxj7N0#5cx9m6PfXpEG}3{G0d
z;AbnDDU}+U%^$G&)TzObq~DhvD>kqoU+&j&RJ4#UJ>j#yr3yL}!}_Q6TbR&0yi;2|
z9mr5=jI*1mLPz<*CyO!Lm`a9Iqox)EPz{KikEf~t{d#e*t>!LPVwC^Tjg|?(;-X&j
zj54rlN)8iPsX*qm@?-o4Gqh`nyYn7Wh9q@iY6(GV$lwwBRwBX%Pu>yv%_{LAkze}&
zVKngZbuh2Pc@DTA8c;l|fQKd7jv9O%Ed=ZMx}Unj1;^#szO>{iK?K3?eaSo>oJ^vA
z>;Ih_zWNpgm#HX0beB@_?@$I18@Cbu>&Odt%y{YFAVnyXUceWrF+sW%mv8DOAGANr
zi&Z<V2&0ea1^8H5fQCpXEz&3elgd8?lXw&%@BG%606sRjqjZC4`$`CoYj8a*>sA1@
zrt5KbRvd6cuU=)hMFa%oSn}UJQ-DIFv3^|_E^x5P*Qc<H!?hoJSL{<1fNgYepG_$@
z%!)3YS&ou~3bj)sXHym6bIE+3hYT-7g*BXO;gbgOEerMQr3#Svo9difIUjV$Ihvl2
zlmTH+!QjGq1sIFWYvT440P&bG`!q%zJfQt@>%OfboH$fDE?_7GbvE5WAM)iuwsG}x
z(oaRe*$Ta_(G~$#lf$(yofSY{sqEtAEF}=>i~ZN)AO`M77nB>7lprwl+FVl-9%On<
z%UrW0VArMOvmm1~7+NR>dLm_*gn~rJXekiU?8TPnRlxAbq+hI-D%8EZ{<ObU8gP}8
zYnOkhK|*nH1YuPTXhW*qW+i1|wBU)p^eF;7w-Tzq7(;*q{Qh0vqHs`qzJpKZAQ8Hl
zw5Pplh@g`2qq=5J4xWaTg&vUBfc(Z|s>z}xC^$P#40cg~iqI#82ln*#Ui{bMM1dwS
z9{Z_!vrQ3favur5y+i^nUZo8S4{h+hf1+tq6%RCAuDSK!N$_0TE@s|b7s@$2uH6h%
z2A6kkBVKfxaD|0+a>h&_XzqUV>M2wK+19NHsc91AwcQh=I%WuiTV*-p<*HCScReRH
zngnBW^(K@H#xS|@hOPL98YuJ~-Pvy6)Bj{tkbofo$3RTuyofqHAD;Os*Fpq>na{pC
zq6z%*7I32XQU@2MpSIh<1c(TjRlzvPFm#l&<IP!hz^Y2wIKQbvw3diecN-bjHn|y@
z1l8ewQ{=sUC-JZ-y6+cu$`qLIZ4WvIslgbH)hDF_c^DM^@I0Z-6oSlM-c;REg`4-U
z-144~0dJopV>g-2pdmuc;jE(yu&X_f7WI?>vhz?!shAo3_i=}C_zxZumq<ioPeI__
zNZtR1$qX(<^jze!QG%EsZD?Sd3%<suTyf|&-Rngf4w`#^`h=HCNhzHHtS#%FCPbNn
zy&S<tk0J+;uMCCz#BE?_JqX&XVy3YEML%(DSQa$qRlo8}jbi7Pb!dv8lc83RPp6zl
z1`b>r|2OB|MOjFd)ZkGj!y~tURw=4duymiF({XW@B9wD<f8ui!IJM|_&9O@iMuXlS
z_$|6d;g-9(nu0R{7P2jIB|sQRcMn+QN$gNK|1>D&JON-7Dv~VQF8~FW%giN3R7j}J
z_30I904D=ZmjF9nIIP%VGQdlNx@GIfTn}R4bcSMElF0>1uU91>PSK#qH^TJD$rw)T
zb2lC|U<2b|=d7*6w8&7J5}Foh1R;psW`6}E=<RbYW<5oV3iU(Geq|U!d~`cWD~lFv
z&b(ij)~7{jX{jfC-x<LDo<|wt1OKqTKtr7VEDdTOuw!|>p$}u9&2DRwH?W~N7Zegt
zgHk))gLHND;i~$Q=%Diw#w+4XTPZ<<`mV?OyNBsPN1(_(9fLpE=o|0Z-EwLqMSO9g
z^n)%a9*try9vQ_h+E%%X+EOD2-d3$_QC(=~t<c>P`-b&-W*RQ-QXwTb|N4eN9r)}Q
zRN=#2gEjje*IjO)Ldw5`s9$tz!(T(@%hAmBl>5oX$KBJY5ML+h6O*nsd~l7)kD32M
zSr$Kc`FRW#Vt2aTa_@;23@`dyB)=Y{6i--rTu-Dz#}2da<K)tUt0fOS?!6zQTzTEA
zPO6|n6;cUo=Fyt4@8e8Uy5$r_ptUu<ag_@FmdV4hZIOV(EAiQ-s6Ujt@%>gi4%Emc
zZ+w^>OaekeL(pC01&X=Q7R!ro)JQZ96X;yifENewp2_lmDPHM17ZWbgpeE<fNe{y`
z;Jd1tDVchiV&_!;E}lq>Zcn^>^Mqaln4|vQmg-rdh_)tcJmaE6{i3%XeY;D9vih%p
zD_o<D6M1z+c<2#%P-sLCM}#x>L3V?;HYm2db}jZg3@CVZ8tbVcK%v#u8#ga+Q5pvV
zQrM#yQIG8=U+qx>yeGdujk~-<shJMSGhAju792S?n`7#5lAnzjoA{4nYg_+PDVYT^
z9$dN}siY1*pKg6CAEQDN$}a8a9NEy{d#SyrLe!woyHlx=hXyrQ-QpQN!huX}ep|40
zslsn*&zytDXpzt*`>ZiTF4QOD;K!k<3ilmI(uNgu=(cuM#i#S!=%=a{pJ0v(T#|_J
zNL67#zSYxJ_iA|1e)&@gTcRrPUHR;|dlMrH2{Q&`IX*-a^J?-<jxz9XuoHfUGNaRs
z3xmH)`Oy|xaVu3v8BUMarX4!YijJipm}ogAh#YjDM$8ZF<?@B~Ydo&(NcU@C3Y(5F
zGHZ09k4wSBmt4!$qGV3=;eD9H5J?mjzrWMw>V$`V?V;8^>s;uWww<`KlQ{Y?+iKgV
ziwAP3UHoS<4@yal8v6B8616?f)ht)XgKDR81JiR}BtCF=nvY)^b&sgMktX9IX*e%N
z9nX&xxhVKPZy9tc)!XjVB|K=3X_|leD1h2or=?_iWs&_Q>ytwt@Q@jvDPw+H2<aZT
zmohpohf3BCr0tq3gN$`V?2YpxC_RAb)$@6Iq`*$`uv<`u^Vh!Y6ZI2A%}L!ChBFjV
zrAcbyrB5nw_TED7=v@iKYSDL5)C!O6nh&oSkEy~!QG3%xA1M@hOXM5_y9zorR_9iw
zqYjtjf0RXKNu!q6{d(6vsiM|_gXZ>L1Tf(pp<C#eLF-eisg^g?kv8iCt{2CN;PE}Z
zL>-4iaj%FA|I!GEN2GIf&|d@Y^&K*A3Y0^$JJ*N(9Es?^%?x#pG7`MTOhtq~$fJW)
zuP@)E(LkjvDFOe4wP5qg`pW>Jy}7X>=h)jCsD;zNp!AtG>_7RAe#S)!F+Ki$lsK({
z=3jKT{&moW_0sJxk*Rnjqe$ur=O>{8N{TO&v_9C&*BIFsDWg2!mQ-tc64H+NxN&3K
z0Q%l1U*F78LB$LZc&1zfeb&*w=sRcxns-$G+xAvPP4db0#$p=C%KmzHb|nT>cW>ja
zZmXi}`4nDSAR<}H%O^i-0j`TQHGMszhSJN)oij27bhYBwxM-XSq<YV1I=iZ&Lm_!g
zuOFzQN<43dpDr0LpBH^Osi1~h{8h{v(($NB>2C>RD;ezOly6DDP(?Ky{g0fFDWF5L
zX5Z#DO`)|-t+jSS1yx*CIgq<8i+*HrD4)J+3i*yFq*cb0(eDjb7vp>>M4tQevFpAm
z{HHdgaOedd88Wn%ULO(J(;4nkahfS)3=f<vGEqVbOGRERzxa^dMBMbEzbTL!-Sft)
z6p+xNgcaN_2YS4pEj*cI3S)=+L_hP&Be$M0r>HP`lyy1r+^?TxxE1-6bLlh=dH;&O
z+Fia$>HVhAW*kO_tIq$bmWyOi&2>ZLg9oQ6RlgdReb~wHr9&uc|Be)L+xa|mlhjDr
zeURCkkzoSdN$1QLUP++yF1md-9R1ix(t?q^gb8HKPGuX#i6Z(V`cW;|G^P+vA61nL
zu*}!W&~sA=&0V?ny?tX5qneJ^)4~IsI)+-JYWY!jsg~K@6DydubqMR62L^F@J1ZX~
zdC|8y^O{fbYuIzA(qDzwjKMbTr><Eo7iuX?7Po0$$C3`rWk1O>g3~*C0d#!q2pt*V
zQ!?McZl#LLV@-x2&2k{JRFoOftUVp_(cZw;*KWLiuxJ2cnz8DharEd@fu3$c<2q*E
zqu6ps!2o2~-8Np>(4beLaS>FE>sT!9%FR}HeMrCKchYidmoj<V=OeZB8pd$|NkF#0
z`&iiD=XyZDZGL9AbAytRjkEQ^tzr^mv`#roy5J{J+hKNSh0@nfpLj!h1q(8HP#<Wf
z3;UN9gqN%qDaU&T`8#pTSlfm6mn@k&z^oj2!};C}rQD*%BS&Wmo2Z=GU|Z9ML95(u
z`%@DXhbJc<_PhPXI7cq2syb=|O^w(c^WL8nZU>Hoc25_vXfdY<xdtu3EqB*k)ajud
zT`To)V_L+H4c|Fdt*8Zb(~gpSer*(!F9VjiI}2DB&LHSjh9+<v_3C=}rkWBuB$EG|
zxPbjNGZ!9U(F7^0h}_PS2<$Y`y#_7MW8EBQ1-PR~K=zU|{Vh|A?YsGz{YBe6R>t?6
zLuE$;#u%f_dKX$S>cdf<6;tyV&!Km3SoU&I?h2pN&irRAse-R^L2dz~brx|?+9g7O
zHDu}B{D%GF)?0gYbphk<m^k`4h6q}k&My;tzhnD_7UkmqE?{a=Y8f&dM5r`7_1^pM
zAZEzb-@}-=h)u|zE2YgOz<tN!;@2y~m~gXVQQ_gg*nfr(L)4WCa5YNXa`^WsMl1XD
zsH4Ub_H-nM34cu;xHpUCatFt;)%u(m%xD=)DbI7WEKma#*Ja6|zDewwY<BIk-wNh;
zA>eGmpeod-cD?i)nZm3~cbPA?uVSC7#qN;=RUx-QbN<Y~Y0T1qDM7$~9jo3=9PM*Z
zfpq0dH>vbyvC`S<sz$a=ta10pmAhHWV5T$A|Lfj7mZClNsd;q^TV9Tda-G`C5%F33
zF}6j_D7qf)3hZJ(oQz5P_3;oJBS6wW`xo1O5vKD?mkMHOCB&WXD#5{0+Z^h_C9L(!
z*E+!))Nr&${%!e!BJ@a|d^796f;q<?Yy7c70~?oDqQmSJK{0x=U`lBXqxw{^WPh6u
zOw#4IW{?70{v|yn&b)!05>T$)vS0whtZSPkNdf%ogM8@uwy-GC7u&g7Oz`~jBi5}#
zc{o^Ao8fz82irV+A@YVT3se^cy9B7oLy2_EuXywi(=|L34o}%YZ}M3GfoeGzjIQDi
z)24<-N7c?A4Nj<2(3#Y;l!F2>gIV_?8Ze?QV>m&@4fV|DNh(t~INb51_rL)<nCDw<
zJQmLbO4l-|^pkNwBNaDS#=-#W^;Df9`g|a;f$y$0!vRs*<xaplBdnKwqT1mVfIJ_|
zZmT`+Y|ogm&g5r-%51q%OhgEbh40VJe3ymX>YU&xPd4zFy%CddEdn870X=^jWFbXf
z%)fe`1G2amqT_4DfN5#>vviFt3{T0F?)Gy*nFo6v&k0G;KSh=uYm)`;Y!44XS00cv
z$4*6wNCWjT_5|FPESOjC<4kAZ1Np?2$0ko@pw6ef|E47l0`&Vn^>*`vVmH<A6IM8Q
z{5Wm$(pwxXp3LT8YZU|~_pX&vetGasn+X!~l!HZsX@0ILVW^WN?Za;>z)?M2xo{(S
z2<hbz!!*P|U~7EJX+sIlN@h%4u~vXfmf`D~&m|x%FLgqObMODCB!*I+DT4iI;a8L=
z1?(cGn3k3rxM0PkCQCeAJf$5V&mse!r>P$vCK4d@nM;nuJ{5SW^w9Kjlq?XsdT(Z#
z6QMUzr&s;48r)^fsV`-b10z>7Qhr1OipbLrJg*4g_sGQN+9P>*Yt`2H)0_m_onjKb
zrW(*=azAoVM-j3gZcsACG@-NX|MgK5qPBAh+?`4wZLvHs+N=rLkH6Xy*tDS@n^%l<
zQiiAOo4BvqT0j%xfqSK+3kh9v-TfUZa3-qRzs5xizP~?zc<hEg{K#$obVgDQJfh|q
zE@)`MGmG%<%QJ@1w|1sF*;pN9dfg1DUuZ%Qr}w!Zwiv7=X);{o+~eCxDmC8*5`<r&
z5y|ZaP~7hAS~*UDgWdLG^MM-RS*Y<XXUYVY=w(w|uMj{bF2bVZ8v#PR+#WCwk|9n0
z>+~%j0-SqVa+qO675)tr$}v4Ng-t)s({ri>aG5=PpRQ5~Uhu_YahMtS;i8jQqSfK^
zek0u%$K=3VVn}Q*#|%72=A}pM)j%-%=i=su6yQ|7W8AvTfSIv7jOvF9czNpn5=;?>
z*oZfw=R3@RVl8zjRaO}a-yaQF?BIsO52u?<v(4c5HGkt610_&i{;B>1(L*v_3r&@k
z87LPX7}MC(aoBmU#~g7>m>J*7y4<KKOdkH{<}NG;*-D$Eb&@%hut+(t=ci5K0l)WB
z;Fb(DRQ%`bJh4DYZuEEd>?K28?C^!|aVfCK2-jI}+@Y}0yWQNsj|@{kc|XRy5eMpL
zg==&zv`8bURI|U_1Xjv90`i81p@}?JAK}7?Oqex|&&rxW=)Cv`Mk4_@t$R@}YlInj
zU*61;%m9#VD(hhW&I3bFazu6FSP{p>Uq?GGfb5Vf*q|RLh;UaWRY$O)nuDo@CnYh+
zdSd=<p@JD0X9cbJHrUYmj9WPcZwv#u_Sb)h)9v{Ptw+vY{$Dj?R(L=*f_THo%9-SU
z*z3Sdhmb`!G<%<z;^1irBV&ebZhUK)uBP=Xrsr&^|AWF`wKM~GYgYW!Vs;L*EPZrh
z*pdzPdi<NW?9c~^vaTI=ixDinGEvCu4=b9;y}<mPOCQ+iofI>y-(d}9K_;1LtSGIM
zu9)kj9ysaDA0~RXP$mP|GYYL)(SU2+Q}Qcau<A4Bd2jWTa>6;uARWhwZnVS{^)Ty#
z<IyL+`$DHE*?Mu^_XJoGk6U!bAs-zW;vTv8*l>aJ5yyy6!m}c|d$$`5_PBVuD_k>U
zWQk%R|KjBNGptCX<GQ4^i8kCi&eh~-xJKc7W!&V{#EQn=%*0w$YC&vH`cC4BO$yP}
zzKZz}8<Kp<FS((n1$RR{H$EKNp*%^IQRv%cLpW19Dk#>3diLHHGmbreW{i8Y@q-<`
z#f46@lQdyF{qsjvA8JI-_nuGv#erf%7lYm2kYK!-Ix6rj4H}|Wmzn0|LUYhrNIpyg
zPv0Z0%))d?WZA<xqKONUtAziyk7|IfM|S&-OY~^NATP!wi5tZ|AMlq8*MJpwJ88Wh
z286#r{dnyX57Pa|@+Cr21Ag3B!>O4wp;sI6w9x^)s9&naLbinnmtK?1jovXMXYJw>
z-*59FI&)vP)0g*pMev!wT*p|^PFRyaO(Q>&;~_9U#S<ZfKek(ynjP(bGML4~D~Mik
z1^o8<MSxHALv-u!InbkpgV$uDg^)W#hQCQ60VJG5H=XRbkn_ocN2WX?s5Z`EVPMY}
z@>#DK9dO`AT!!y2`!|ZB2WEM5)HVc|FsA;x-<t=?=Th^Ar-&n(=9m4M8U*+d%0Aqh
z!izeX|9sepl0^3!vhS2j5}>iNy$9F9hcc_Gud=jBq46`lUO~bH_~S9apCBcGQvWz4
z7)?kcch-PrZD|5%$xobRju%9U?;FfhIc1UgaJ>9^T>>cnt7CL$6-JH{(*gn(I5c-W
zB&XDk0B`NbDg>X3ApFLar&zKadOQ@`(YV)_LQNOKb&rXm%&w1oy`%Ezd3ULd-wXk6
z87uNTN=qO*+pU-FMv8k}yZ>v34H0AqMS3-;rBGlL_kF&HN+^u|%pC7$A{@D+PH(;~
zg=mz=N}{*$=w@ADXqJ}->|`A~9zi98L~Ch1%4}5-HD?nl5F-H%K0#-lRTlYN7b}_B
z<EcDj6Q(1xB;dF=up=XeLq{af=&QG>Aye<;w*UGyVUW7&;YU?DG`t!ma^$-@BK#4{
zcAe0IGP7_Zt&u#6Oe>lZawZ@`SA`QJs}6*7pX$V$D<F2cc^auw0xDr0yK7;g3scE~
zLaU&NGA~d{sK)mA&R|H4DN7HgL+-x6gI7X0y7oJlW(nxTIFoDUjy~8_CdO88DWNAj
zW@=*X1QcxSV)lK{H|Y1#QRIv9X!Bb3GJO~UjS8N(GwU>hxxz`^Is;{N=;G3A^>uY*
z7-TqnRuzMr)yenf9w{SAbAI~w2WlviLF3IU1AqqFo97AL$|%t27Ss0R-hRY)Ybjj-
zypNhw$={TbOseFV>=Ygy49FdiwKD;SpLG&ZxymTl@Y4IQMT#ipRjgkCGJ#gyq9C8K
zG78T!KJI^TkG~_`y_tCT{8@vAYd#;39_kC`e(91$XYVHy87#?gB(yStGNOcvh3g27
z$D~od*JqvcUS#NIZmuj?QbeJRpFKDR#ZgJ6(fiZq$*|&gLw0Rc0ZE_jC8b#kqt9(d
zbo9r`kUcWhpI;@9-eloaAMo-cyH{!PqC_&ht(;}%2$Dl7UmiDU?c+v98Qx7@YbMZU
zE5Yxth(jLdM6QSQv!Vw!N=_F`Ou*%EX;bM}8AQi-<Myr~12V|E_D$Bs1oQ~M1-K%m
zQDLT5|1eM^CE_iHZdwyar1w>(B1s`S5xK~Ulue3<{G%HBJb>Bu!9NN^;z;7)aJ7ix
zGDS$f{q1)E(C^vZnei7zxIbEs#zk|KV6`(r4AmH9e7#yTDld$hURbYbd;Ow3V?6iu
z`K&SEL-LIns0C3$Ig0ydHA+!<=Lz?4#=u-1B0EOIkCsN17!n1CD9r__-$*V-z}NY3
zxLuVOoivLj20ZSk49jmOMPwQRLmVlPH;Nl+<<x(oe({~6`jYO1=%4`@-wiYM-Q`41
zn&L9uHT{%JYp0UV$Qr;S>IxIW0e19100030{|uLRJk@U$$L&2X*WP<`x%T{?OGYJB
zzfwqpqGXhmQ3^#WA*qxVEfp$~B==~DvUg@iC?i6M`1$v|o`0U_Ip@4TZyt7U-SWe|
z^#4@GLgE9=U{lsh1?xU8e5m#D%<8jm^q!!^@$?E)@G<z~-BHegc@8pmbJ|1ns5RNd
zTVzv+$$F7b?`OkU%E;OK{3G-c)hEnH{7vAre*rzsniVbgNNw|gAM{fP3cfCUF$VW7
z2T!hiV@8Vr{+^k_3HnN~>_cUWF+6>LY~n@<6QU>EV6^%)-SK?YhxQvrP#Vj`vXRb+
z_eQAGiUPms$12kWr<sgkQ({uI;Q|AOTdQpy=b59M{C-T@9c%~&VROCpZVdQwsrLMC
zsXz4h>fLcGqXtkJU4NQhw?>y&VeU|ZMfy8s@n6;Z48SaK&QMNojh?Sr+rl3HmtJ;S
zDF0cnKBR4b7|_tQN*_K_*M6&Zg<fF&am!;*ePA9w;F?jjO4r<J^ikb>jm~{bsQlRw
z6%Ld<<Pe`(r3cvwM05-@V9m7i<@ZOauzZ=Z^NQ;l-GJJtveSwQJ&sK78eP(Z$H9ZA
zmloFOAAYNUPI=0V3H~-)R4(g5T&CRSi@pr_P37rTXDTZ$7xiP3oE}tM7>pF1VL&Yx
ziyu+VY?xy@$Zb`o3!Ysux1XdkA_LTXb4%jD*UIzfx9rk|_+Ul88#|eBoY7657RZHb
z11v`y<|(kbejoEm17^$)OW5CZoCiJ040q0Mpuou8V6u@e3r1fnP3_I(!-b8*4>dA$
zV0lnNoNF^HrW@Mkzl<Q^4vwGhM;Ua$=EhM5|5!GZ2^BiA3kC4!r1U6bpf>CerTEAU
zv!igtj=nfqGFsgEyQ$%a7R;Jsz3d@QoQ{xSh`l3(kv2I=-;Zg5*2-({=X~7gV53`-
zWh8>Pq7~ZXIkeygxhi(^Hy&hv5-6=WD~f}T6eG(*O?WL~{NYY7ABH^QR@v4fj_=>?
zKKIc_6B_57tjo`nu(8KS)8(rqUYIG*F*48uxqE@z{fY#zz`bGvC%X(@XucY|BBBYS
z1{)4|tO#OI^U4SZMGiNgKR7!qs0ryGRUYu{7sAEE-4+#r@~HYptWHf+6FLeiTSf+j
z@yY%>NzES>P|0F{Ua*%YxE?IruNxzZ3pVZc3%W{Zq`uo>jIIfO({VRvti|!uvuC3w
z&y;bLM|ND+RtuUrV!}EUB+-FAO|*fgiX0n8+T|Cuz*C~Om`_m}rD9#-`=A<b$xu#q
z?$d@+6ZM}WHnMn1qE~cJq6SvG=V#IW>43=gH$tCK4n<Q~*sjvFus+vy)m~c{#JCjG
z|4zzd6G=Xi?YB05AAn5!rwc1xQ6|Q!il|z&smt{y1#LW*R<``s1Fg)f9&ZmT;nUKK
zzRTBi(e-Qf>SZ2%xRAXd)B9W*F~fXF&Or}P%*82-Z7~2h!Rr}4e^pStrc=msNDp`L
z#^>l18G>q6O2-c?H5|PDgS^p$iVYjyS=(3`Lrtgq8JSb+cp!4#+Vn9M4PInP<_?)a
zT$jt0^g9|T?4{Z{@PUd|DM^#MIcCr}MSob6tBFOuWpP6HsTe<YFJo(f1^8XJiGCWZ
zg~_oZq;y*<KK<3-ByC{@{U;=4{LHn{e=lFD;5|L;7_z=K`i}tj$ja!!*V-7;a^qQI
zr7qI@iuf-#18lzH)39+_8<(517TN76NZ(VDk(*3|Fo9Q0b$_*SDF0fUQ;rty40Q>v
zF|>wJh8u32CED0Wp2DU=b-cE*%&`BpH8j-uIk;+TBe!ZxVecgsocLJXa9zR%@S}KF
ztCtqKnO-hS->Qh!I|Dx5-)RG6p8H?4_iExG3%STsUJglPF7a&vHlRf4W~!@d;CMqo
zmxr1J)^Ra17aX*K*|IWOfsblfdgffGc%%?|8TAPW5H@iCWy)<v8&%8;eD!?wJs-;1
z=W`aXSwlx)c!kXqWh_5ff)!s_@vNv*N%~W3U>x2fTFSoOmoF~bU8Swi<%47xUu?1l
z>W-@2-uo5M;&iiW^THJUSCdY}kv<x{{VX=7yxvz_Vr)%EqFd=~^-Jb={Ah6Wyqgbc
zhYUXA6q{YMttJ*XYCiCq2PpbA7#+M>5=m3J$I~wi5)<>22Pu&N+e(c5^!&uIPUl=u
z%foSE_}DA)PwW7$k1SR)Ukl@P{>C8(#u-BP@=#8b3IQf-q@VMqWNgl<7_8);B|_My
z^{Z^Gp!?D%v%E<XZn0MF{-!-g_zxXp^YpQV)(m&$6M4K?SMtb?@y;AE(iWo5cg+Hl
zq#w)h_i&=m=}0EovvUM`_NUFgH;0=|7d5m4+3+Lv=Ys6oEFocbQ0C8y8F)y>sb%kB
z#u*i-l!K<TM77xY7p)d%K%!SR9l6VZbJY*ZqV0YYMS1;qi5OFeJmx;H<-0-`yc$he
zHJu?GA0=MzYcPQ=p0&eM(u?%e*y<?(#c6_XYGe5>1ruONaUp-$IY;M<mai|Dm?D@Y
zxixl&8^aZo+OPLmXXwwj|2-tmJV6j=Y!#C`jNotBLWQ!$1f6nbXU!Y#pG22hz4U8S
zBk&E)V2n~5rQ0>?x;t5p5%H<}`jfH^!6f0F;P$dXy5=s^SEn*Yh*tGriGFTFaI7o0
ziYn`+KYrt&nLznYP)oh5f+7qcRqL9A{l9klL}!`3>iiJFt|Q<f_DdfM80<NDB%A2_
z4CB<&rv?dwTbD@rhxCD*y(z`v=O=pMLM*qJ<RH=1G$zG0NQK?oww4aj-_mEFbR~L+
z4-n2#jS_tOsqjOn`s9ThPw35&s?W{128bx7l+fEldVo2pSHAk~B3?;60k4{Ggty5M
zOUmK({d2^_Jx=p6@zTcL(Wm4aA;=Y))cac(G)|Z^Tih%q=(FdpFExB4S}Kfl_n%#_
zx3vTxxK>FNzHl7l6&@g5K5nq);MWD`OxaNVh$`aCY~Iq(^8-X^R^7!@HWaAAiWDQ+
zF9busG^2^^Afe;0aIhgj2Ts@=+bWydK>S#+bYUMJBv!h&9-PV2hLB>8d!HAZ2(ijb
zANpE`2uFXlKc($jF#P#YevM))@x|u+P{prd;>i~7bY`*^v=;lB@B6Qv*q>Ekr*1kz
zoVrl3@a#WLXl-m!7`WC+pnm3n%8OCLJI19m=Z*&4UVUS1JK9BDYdm}1Y0nRW^+}5R
z+fj8G6SYis-rY+aao%{O)^eQC6snLMHBkpGkL;$x>3*V&pVEBTb&~jF{MDZ`Q4K;|
z{~k?t8z2IFB1LZ&{34pCzdtAaRE3JNVYQ7NgT!LtNi}n&86vDpsdQqaDjZY){W9(N
zFcIQHS_w}5P4r&aMI;xffLc?*!)DzPBDpIl&rxTNh_CyV^hZ<$+R7I`#EFa%eLm*C
zmwwL^S6*7uBx03e<4fXXw%SkP?dx%~BO?pMp5`5r3`<Jza>wr*K1U}A{mZKcPx$^4
z!Q;KOq97#@HN4+?XLO3_Z9mzP7PLY%wi+ebPbva#)!q+{(?sG?$Nf@*Ys9uaog2FY
z6oIytci*DZZ{lkDX^n3y44^CjTrF*00klXVqpxOXiIe<cH1C^Cu%Oe|R~DrJLihU%
zvfj-TPRaUn86GSkOQtGaAuE7<jzp{}E)cp}pI!gDut6ke`_X_W^5DtTqZBi<M6ll(
z33LtP08id7zut}V!043kxa7V<%ogvP=j!GHsIR<q;+Gt>8=3LsvaS)8O-75O5xnrQ
zb?Cx;x*R+bk@CCxmjS*l^4iPmk>Ce=n77MzIdJRrjcB^X1U(Knj6**QfV=7(XFgdD
z6c_S66ZW&ftCJ3=a}vl<zwBr~Ss@Ew6@7|%cC$gtp$UkI6b5bHkf7!uS<tL>dOsV(
z0f}j!Wwh^#g7kfDV;h<*jPxIjAV#_1K-!0hrX_Kx+xYhHUPD=MG#R=E7kS~CS@_I@
zD^kF%xP7<Vc3C*;W1r|?L;_uQ`h)j-WWhZkaQa@3EJ&0t&=~6kU;|5bPq2wRR0M{;
zA&ba?S7|^rTqc9}Ilu6<VFj2<63;X{BL}3ClH$2wVc1=8SZZIf5>S1+Oc;6PLHz!*
z)kwT39NYX!mh?ykPQ~q!$*Yxzi;AQ75*oyTPHN6;uTTT;XP-nbeNcd?^s5rxc2Z!e
zRI0Q4j|S8l);<teRfLKi_7^6mW#CGm8&z+UHgMEIQeKQQ%&=M}cZ|qErfNgx)*=eD
zdR{*hx=$4pbGJvm^j82@LF#HgSr2@lYUWO4sl%7ZT1P2vB{<x*r*3I86-KohHmy3Y
z&#7ao>WeqZV7c{oFF8yf{=FCI6gx(N`4H|-?{HPf)sSuDO*DXa)Q17i@p|CdVf9@S
z)ZvYCl0x!XLrBdvla5W(2dnMIi>H}2!6!z&(9X;VtnzN`KRjXx5w)62t)*I!e&MoZ
zX}%FWetaz^&DR8+?tbhx-=+h!G!ap(HUhttNMC|%4#_rAw>XdjKD(bfMx8bSm%)>v
zPg^WuDdpfqQ>ZS8#%prDt}ujl+6}c~2Y}}@p4&afbwN<Ljg8}q0VpOb#=gHrgYLh!
zvpaOx?=Qhv`Q!%`&I}HYmwdK{P1&dPgst_!hx1*s_=qmldRBW*HQGQUWk%apS`QqB
zmwSwKwW0Rn!Zz#d4dBxBRA5i#dVUn<ukSQb14mDLsT@69_|+4<<-M*hT*%W+j8#$u
zxwXC8z0tP7d8T@w>cDyq4XKwi@|1%7iks)sZrH*do)4UAByI5A`?I)Igbb#po6Rl+
z+k$s``uWi{4Y(}Y+%gf)3UW`_Nvw*tAa=x0;LkfXxc6+P`tiy*@h0Ocy|i!x{K@^)
zblpz{w!QW?tWOxGSB8!~RZ-dieu^r0FK{VA?*13`Z>ImzYooURsf@RQl*{X%QXmhu
z`!4%7K4HV1JFn`xk6FWQvFA#{A7x<A_RSunXL#_bC)b&2TWdIb%3AO9J_#5W?KAFj
zCt=aqGP(B;XrQw7h?kdz2#B{&RwgwG;0R@HHkFqKgV|??81@N5-}!g%8{P?GN~b~6
zN(8{s_~~_V;ROyQj#oFF$oOzBfPcq#0<1_8RBj1&D3qJ8N=PK*+v;Se<3m=knB6$M
zMT-$KZ&hk6-y!2Bc9lf>j3rD*GZOyU3xrg5#~1!sGPbnsNw(m(1Rl3-Ex%^R38k-J
zuJ83A<Bp=G$PzOPIBqB$euLIVEQHj*_SGQcoP(&t^l@{j?paXexb>c1hTA*DmISfZ
zXh+?f5;Hhn<@hPSVUX@(9@J{rAc%$D7LpvSX0Wg6m-@t}U-aXZ<onVu1o21=P{uq=
zp~(HBhlI^MJ>t29_^JDXm@gADdHt;kjI=zKsM-0KK6RTlUiGOUb}cy>9#t`ch|Jmk
zBlD|t)vKw~=GB7OWV_%$b;B532xF5?X^bdygWXzdSrDbqa|ONOGlmMo95eGIX8c>G
z{EXR-jFKC2Jrfg*pyG{~-jok3nn(qmJ(owuBZa%F2(l4$MxG)|s<Go+g|K2R6(I~y
zzO4H?%MjZ5JW^UaIMA(CzbvR+2q_Fdt^QFBL4xMka_tNk%J_N?WgivBDv5pD<m(K;
zvQ^HEkmbR>bg@u2V-bu}xl*zvzyR(yP*1}<Ud&t3ZXK2s#dOcM4R1vZ;Hx>GY^)zY
z%6W^<hD(a!^Ak@4-d5>@i=kCOO(F?tnYp=)M&hV${Oe9Zq&{$T8$Yu?CV*8dypa$5
zBv3VA>=O&24<kJ~C;2@Dv4u@NJ*Hd|gA#Q&IB@8L#qpP~hqjXOm1N3FikdWX+%`Bb
z(oKaNxwBsO{|Vt{r3v4Ag);b%GFqolN`;5aTZ~e@h4E<3*PYpFa#(5hKG!Il3eS&<
zbuYw-pk3m4m=l{khE=6K*Sk&y^IlSqcabQ12Z&#_oR-JIsRxT3sZ?mx*|RrwRt#%4
zbdzGgE1*}|v9S-iRPa6Q6uz=S0u?(1hen1K@#V#DjFFX8aB$eh^5&r=o_9HZ^TmV`
zGO5{LbNxky2O)kxk|d?En$@W3&0l4F;eC%iR7W2k&fJl&&62^g<(@}09#s^st=PSK
zRv&)0g|yxlmqT67+~{6uH577d<C+`R2kEx5tE)fcu)5ye>4c^_GD;JB%smajM!TK4
znJ$kqcb}rRt_GF`4<(097=T6d7x|Dh1$=Xg`sjp;CT?tW@%)!)2m*(Q%Dxkdc+i}C
znwdijc`tQ4<v19D@Z;N*o6hSV<WFH@sn^12<v-ysgpJ{y0N-MXiZUjA4C^vKrj0Sj
zM?Y218$-OXO7!?2Wt6e0TXX%XjU{3>T_qzXV5u-96jQE(S)GM9?WsCQ>z==R{JSZH
zJEzA-1*@XYLUH?3YaOf`QyAr+GK0^4V@E1P)zGwm)y+*r2lIS7l|C<<Ls5^hJI{SJ
zTybz`Xvxz?L*d6{1x`!2$B!p{Mb&Zm2#Hp)tc8BwMTbZvE6B+f7NYp6W6P#`Ga9cJ
zM%>#J;mAdR`l1H&whVPFt4NyA8q`4VyPpDcW(auYv2^nC6Ln;%9B-aKr;a;^69d)u
zt$SJAqeB<3t0Sp=ASLj(DlSx_;EPfKlk(x4th>}PmSOI%Gff3!K5bQvW}v}POv<b7
zKWf-McJ080FeQ8*M`GP+M1#K2FYgwQtKo}t+dc<BR6t@^py1uzG#KsIFt%?{#mq#j
zOOy^d<ejK{6@P>V5~H^sT;Ny5I*I({o2oK6X}iC@<M4XDO7gFui3+xUU;B|&CxOMb
zO6;AxXkbvqnp?a@8C7iRd0!TaBKKnxF%wf7*lrvU^Vp$;-mlHy&UXr7*?(E*2Y6^8
ztJdf>y<HKrlciYwT?8??E1BHh25|0zm$R&s0x~R-X@|v0=ww(}C~yPdn(C8tCJyp=
zsVbI}%a;ddUi9e(I|ImR%Q=zl<nVoaBV(#LCkm++Uwg_7FzV>0w3;e|Or#5sUf*Lw
zw$Q`cCw$l6e>Cn@SdkPaBn+ofZn2<4Ld?O64^}YlWA~2nhXh`**=%LP$&AAiZ>pVT
ztiaD-pmx?&91~YO`C@-E;&fE;zpp1Pp(*Wc`s+uc$jr2V=d=zZ3cY@HxVXUr>I#f5
zeK!)p?XG2ke`*+TZ`NA*4|NNmy_T}w`dtVQCr(6(J!8PH*8}5hW6j|~*HM1UVlr;v
zXfxsMU_e)^^zZw=n}O71c!z(kAnx+*X6`X$M2)ns^n80WNI&t0vhjrgcHchMIrxDQ
zBbc4N&*huKy?e6fr}|0wVzT~J-5DlSy?ZV~RMZqs4(StHG)dU&$|W7+&WtT*{X%oj
zn}DCdzuSQ-{K)L^>mZ*S3nt5GzOwsc4EIW6D5F|@xU2i__UMzWn9<N2qj=O9o?F?w
zT=C(>O{$W|`U=?a`^Q}C9V13CC}Mbet%V19xZ*F&GIHQ1L-DBvZzDKRa?XT3hzHee
zO^P=La$@4OBr)|dL*VS(R+?_gg9ozDU*K5aLfQYgZ*c}0Ld-pJg?SwwRBVc78%X29
zh3B!$6)OgCC?I7a&WQ*8zG(bj+Qo+#Kg$lCxM~1rH=PzH-{ip(zwy>72@*b9>vZx|
zHUMg=TYfq_FaFgVZ!i!SK*yG?vn7@Kki=qfF*u7C*}A0m>{Sy)FUG~J4_^9k^KyT!
zwkIF12Bh$&Z6xFG*{O<7Zhg4^SuOB^4L=@p3uu;!6vEj9y|Y`(sNml^`gBEgJ%7|&
zlpB8%#&>PcyE6i*kW@)lrB{;Bj_USBQ$-XHUL6@X)1rc#DOGoWpa3p+ZQo^@E{5+u
zhx?UH>w#=d*fgOhh&^5@S1)QvpriMe@ON+ZAj>1q=rcPRQ?-nJq?#p>uXd9V>AD{H
zZ{2bze3p!l4L`(TiZs5|3Z4r+p$Aou6vz#8LP(Z*cVIS979XCxL7CjE2Tx?i*sOU(
zkYz3N-@zg|)Rwe&4t3Ronh(u~EX_nwx+u+a@{K%>1*GNBJl6B5vRoeDSus3h@-d33
zNdf05AG|IH>cMAu5uT1NaTFohr{>Qn;=_DplV{iTfai<e#;`4t*xOJ+KOv=zTTZit
z$b4Eqe`fQJ^X*c&D{I$zYiAW)a0v->;iH1oz?`yVhzwH46FE1>siMF5{O-!bR2Xs!
z`Z__DL;a}5uQRBI#jAbf-YzO!*<Lv4{zne;TwTt+SWrivO8cbo1N!j5Mt@t#H+lSz
z@A78;b&gD4(U_ZOG5~v>1NXfe6;Pq5<?JO}E%b=6ReA8n0HR{dYFgea;>Nb)qJ>V{
zcx$LuRzATH20H9M{d}c_jFFb*I;J|f@@?UI?@1%TmrEBRPZ=-Wbcm2x(ZO^2`zpgu
z8ADQJ&eA}N3O=`f8fkWwf<g1uN!PEKK*4JFpvO8#uCsN7#*R?19lPj-FHGSZ?#t+~
zR>RVuV!iSe3aa}4mn^?N*J*+;{~G>N!?WM^EOLLQp!==LZ&ETA@M<^d+U9jGFs_j{
z)o!Gqmw_13w$l=l4ZjbI%V=Pfh6$fsxDKj|myzDZSwW<T#b=QS4aC%3fm0sZ*ylpq
zxAusD;GJ?wA<r~0uHU+(ab6R3+dD@O>;^d8ss7sUjRwB%>$5Fz(!kOOC1Zc;0gSfi
zWFEe)ftv6A#-6V8fp?<E%9u)nXOj&B#1;*lKNDqG7pQ_Wc0(CM=V-ticH^Q}n>rTK
zEAE_L-|M%nhrZ>!rolqBLq?r}I^K2`{Bl-b0Z&rdiuikIkP;uA`8QAv_gz-v8WfX5
zWszb2f-xFI&PdtDUsgp@YD28BiWGKK(Bo^r(cp8r-C33d6*QZr?o@OW!#4kLRo5yS
zbbWx7J>kmu_oex(vOXbnE&nZ@dxr*s4c{fQb}Ql5p7}Kqx&VH-7aMQpMS~Vjaq1&o
zMPy3e^KK6l9}+Vm6Zx_<u*e-Sm}5~uX1ubu)R7av+KH(Iwg5QZm?DmK%i-2c^MRmU
ztaxkb!O>Ue)_L^yq|cWiS@c|#h!>S)Lg2i?6sisot-W=*%1Rn3J_j$>@vPC~Jmwu9
zWfBlH7xz0sMG_kaCyZZ_m+7C%xg<7>TER!&y?4%NiK7E!VH2;~B0Ze@P{x3c6{t@6
zI}~ph#edJL78O<h&?iLMm*h`bLg<$6hlZKLSmu;`YW~+8UHDKHi)Ez+h}DzX$h<;m
z@kNG3-g}PTC&bSp%x3|+s@(Qp&lW_zfxF$|zH@ZDodshKp60;2*u=kYmjJ#K&h2*o
zK1aVYYUH%xg&7!CrG#hcldv;y`c6RAJiSI|xzCZy4E8u@Nx}g>qz{L`<XHYgA0rNF
zBpfmY3m)Og{!AXsOBgE)4_TzMJ=0K={$v8%Cd4f!#kr9u<LErA=3n}o<2G+Ov`pa3
z;<A)rBPV(%Ew03nSLpgTeY5^cHHPKJIfePR99T1PyG2}mm40GLWtx%M7{czT^lbme
zj+H&C3JdxSc-PdqpA=#Q9*^vNMGe^T(@~$FzYj5D-15;|(c^}&t4)Q?yMzsoFYNqC
z&1XV$`3EoD4jDpKW#-{~-fXBcU3`v@odsPhxSX@U8^Fkh-n3*3Hnf{u8T1Qb#b2#=
z+4mkcfRpj#OeX7f$AH<Y$4hLuuy(cP;fy}Cwi`J8-Oq-Z@t2&hr*h!!E8zvn>%OqF
z=xXG(r)=o(b4Rt~W-e6xRz7S-(g*zP@=`#O9UtFMEwPv8LH1<77c~#4u=VxyufC`3
z*!iO;*^-YBjm#J`{H>`Vw0Ll_cs~aw8eXwaCXtXl_VDe#Aw6I^WKxi2%83!;S(8__
z1dvkq!{JA~9xS)e$`%c{aD;X9MqKxjX9fPw?nZhLHXi)M>pyM`+;XzLH;0U}0t)34
zKXl=}`pBW0TRgaI7QLFsAdLS#i@KJPqYHgJvAB(So$sVq**{K+pw(Mm{{SytFuZkY
zd4K9U?-W!L-MGZC%+1DxqNNKx{jo=FACd4>LeP$fuf_4!9tWDqG6i0Ro!r0SjsTjR
z@`!bflSD1ipbgT`DX`mD6VmPpqH&K}@tYIU`1@YH3FB!BB%BiWHvC9NwgyA_)@WIr
z<UAiP<4J+Z358>9t3t@E@;gQBs~jf2^I}=vO@Wu?RHL8HA}HXOsdb1^0slyy8t^+#
z0agQ{?5sDUc>7R#$%LsQJ_<16zwwv?MN75@#WZmojZ2_@ic-Rc7#aFJlP=_Q$Rzp?
zN?@p?>w#k($|$gE3j!N-AwWLjL_vlWdKXS@%{5U)KTk^awcEPjCHh#W<G2hS5y@^-
z&rw5TUhcD}IrKoXT_o2<R}TFb;uhZWYoPz)>7O-;dJs+FOo*V$qw2|5SNkF~amD*x
z?tfG&fT8?mZz~0C>)%%WtX~Ts9{Z*DY=#O{*XtR-wkqNpJzQ&Q-A6h@VnSBx^`T4E
zJkafk5`NdVJTT_B&I_lX<igJepuOqJg4%gy^d%Bx+6i6!9{>RV{|uLRJk^gEhwYV_
zY}xZ(u6ym3&oQGUN>VAKLgh!LAw>A5s8mLYB8ia7N+f-b(n6#pl#wkvd;j|P{CCdl
zob$Y&#S>0lyL$D&BWtKsI#mUWyj6!)3h6kcG3@RlX#k?>wez}psyNriF<ivTz!%O}
zL<^4?g6Hk}ca@LT(5a~6k0*nHZd`r6jh~Hx%V@Rj_#JiB&DGJ%)n(w8c+NLLU;;z4
zA4DJfQShqh+gk$M4AgPodh30;DI9*ix3E-(ibLV&l1m@c(TGfC4x*dEteH-tYAzMu
zf0e3kmZGDd-^q#{DFoC7gd|yVXdv^8r`vQ&X;}Jf7r*BjfHQkkNBkHXcrz$3HTb6n
z9yHuf*6^D{%4FNSNL39?nJe7hUqZp$nx($po96I->gWOL02Q0Q2pNs-RKst3<NM{7
z&B5Rc*|L0`ijk4qc)r#tqp#XhfZA3I$jCUqCF}zQZAwxmS9BGzce>q?Im`lXy!xul
zG_H=8yVeHXGUSl=${Uq+NfxkDr>5dGs)iQ|HLUaPr17_)z@gTg7I5&Sd*z-_s%Rvm
zA+jw^4AY|`xBoq30gf@(OY&k>P$$N1=RsFtO!HkN!Z%w$>wMqPIwNI#;QGQ?S3m%}
zB5K+eIV@n1^pO+&rHI^qat%#BT-ZZwnHVTDhr1W+B07T=P-vUSAEQbZ^sRo;blbxm
z#C};neJv%Ak~cKwFY_;x9Fk*ftjy*hz#W!icUcxo3nQY0{H94N-S0y2T>zUi+H4Y&
z(wO5Yldt)8guK-x&h}al;GBw<-gJ;8ChWwzko+F<_}p6D)l>o$eZ5_Ul*O?>*|S!U
zr;YT86TP*e&J4~|A2zPdi=aXa-=^OAFJ!Uw!rkuGP2iMza=d+37+sw0#)#hc<o<0|
zPYm=n!5^=M;&|Ehcwzn~_t>K<^1a0cmi_=!==m^W&lxC)JBsC<Ps>)33B~6u{hpb?
zvbFr_mtA})X>--ZVplae6!glIciI@7F8Dn#(^!YhMwNcy!8K%T`i_P6O~%k4@pXG^
zH5W$jxVy{lWFy)8_i)s&t42UEf9z(Q&4FxbZ#eq?YbJABH;+tq8A7liLBU!!Y#JBr
z`fm1%{C;Xud)3Gg24?%GbLgx%;|S<r@|*nn`9jIB+Xmp(J>GBhg&DJU?K#vM-Am?N
zUnuce)Q9-WEQ9teCR9of)%TwpAcgHtr3ZWJgO#+H>xsQ<q?o=z?Y`(?^4N|x_o+HP
zxRA;o7E--Jes?(EqfZ|v&k2hv6r1Wn2;;ZGk;r8-`+8TfO7J8ZX&e76tw0w{D-uR8
zURxqN$4{h*9-Sf;guD~e)O6wEFXmmHor`4ZPg|$VBQvCG`+4>BhdSW=thr|MsYS9a
zZo=9=WRCPf-sBrfI-qVJBeu(Ck$mJ?V`%(ffn@g(?e)&lhRgOoFWh!4l7@CEVyfLs
z<Yx5el%#7zo5|{B|D;7Se`foC_QWb_d+e!Vb_D|tT^zmbz_&y;wEyX%x-;S2?U9Cc
zTN&W8=V`ou*%C>2;T2&NF(bNcj&|&z12Zju_dwDzSzS5u<ct(6rhCcgg`cLw?Y~C{
zPiC!<`#s_{C-1T0enaE=96>tBbKjry9#|#4n*9PlnR4K`P|QlLyB5SKii*3^m~j2d
zLB#`0oOrVH_2wtpw14|NBICo#jH)%~eXQHLv9RW3gx#zrSoPW13{Ej4o5*a2L;pH#
z?X<YSvt1K%oRk~XnOSjsjB-0lk{_2YURnq&)ByXN@}8sy8^$n)!v;bSjrNBQs>*0U
zbD`__g&=mMM;+8^j}^j(SM$ZgNmO`!>(}v^ehxGkU)eSDcRkv+3sas-P{H$(s<PfW
zE>z{!FRwkf0dMvF@Q%x)fD_ts%Iff-f#nO`PI*xr<u!fLV@CmlJrCxj#duL5bD1m|
z6~i#;ln9#zb;$Q-Vl`Id$NNtn9sblQft4rT(NbQjLn-Y&%MV>a{B-8tv#>=eq<_(x
z7rUVjP9;-6eFKCrSw5JX31l$)eZJe?P<5DzVys5LTaRk9&mRlykwb$(mKxtkb-2km
z7SV0E0lnSsc?jpqV-T9*n=Ew*G#{vus1?E2=0Dyz2rA;>o@$39f7D@#snhY{c`+0z
zd;2XcP6<=$wpsN#Q=m{Z$hXW%0twGG>wE<jR5^F-_2xemX!O{+rfw^RVN?Ev(>1CX
zAH(=7UqFSN0&|AB=SH;EEo|EIpE~|5xFB{sUjvMk^M)?nmBsw7Nqem=R4lygdGutT
zCfNPxm*2cBhYrR$Qinw~@pjYtqyC;+@Hc5zX{V6_uE@R>%ITt^+jyp^dIB9%XH#$3
zM=9d>lhwWk+vymR#HE~amjR8MS35O+C?T(vyyii92C_U3k7=&ghRx%4i|uq3eDcMm
zNTZX1m-yQ(E>d*C`uFQz=_{(3;v9G7SGYE|=6@e9eyRumQ!%0+?NmeQtp7q*7qqeQ
zqkz-_R|ELyzbq`MLP1_t<6C`}Iw%qBmB^%E1Y32JeQaE)D3aDP?d`0CKWY=|99T`@
zpljlp5N{3SYA<AdtEhusoSMeUlcw-3!$$p`y(a$Q&Aj|5UmM+k>3w6n8B`cXZwOk`
z#LtDH43$v^vd<np{M!xSlvj*S+i4nZktn`<e1ML1-0>f`8Jk1j{_OUS92(lBnHub}
z(n6NqGsRoh%whk>-&WreXs9e{UhD3tfy>U_R;v#!pylGx!7g1IuI>rXiV;x9c!jeD
zRw|Yd+r<{X{hB5!tg1avdZ3Ko3b?9NFIa*`l|$vZ3=JGHRI5BdRlvKA#z!_3SwckQ
zK|CEqMcwybZuli^#F0<eEnZYwLRk4MEnJF%UKb*ECo#nEp(y{^)ND)8m#35&C#m6q
zCQ_wquMk=`ryNf?VF~-^pW2K~sNl0Ztm!4YxG-bB&vuiNB`o+24ZZ)z&Cg+Xt5Yif
z{fR^=S4y=7C~hD6Xcnx9GE@AC_Rizvte3b|p^F8?KMfwwuaHMfln)(At0AdYw9NBe
z<`BvJqKb(_4)fSMv-bRLB_5_Kx&|CJhr#NFS9YW{(r!s4RZEW$jFpb%n}Yz`ebi5}
zrb-|?9py%zO%X9HMfwy!0PeN@9JFjvRC#%%bxXk<;V#PcJ-vqj^Re-4n?7Om>b4fE
z-n&S|`-FawnlXb%i&V+%e|>U3SiZ<Hy+ph{S-XRk-wak80@<qh_|c%#luDK@6KWCT
zcP40?pp0&k@BEb;tL@WE)!LVdKVluWe6FTY6QlUobd4Pcq_(J=Ut1=kn;ZCyVoYGS
z`7RT!>nwQDPF?%Z=n_%bDE36<jWI}S+PqDhTO~bJ|MQfTS|Wyq{FaWh7=s;?vypD-
z0+}ja7P73lNc@=pYL{zg1gE%e`3KyaCS(3?oKG@bAbKiF-+A0Ng#V3wZ3wcTAm!;U
zHpX`I#MMWW^0Z+C(El2A=-|vC$?%}>dVh3|_;5-hqrl1le(E&cpV8?i^Ir2m-I_H^
zaA(@O-OSX7`lPPw34tx-=#TN%hpRJ0Mf`t9qd4_}{c!G?(9&9Rv(0C<>EIc{TXF7y
z<#9cr*+f@ml7-~?6XgZ`8)pcU(UyQ)?YiI=dD*72{u%K|<?WO2{nNxFg?*uR+jRlb
zb+X?Ge;~FcUJk#|I!!=HwJ`mi4$Se#*=8U5N_2YdJ>EJqO@#P0-BcuWV9Q0ezaEcU
z2uZK!_5r3dgl7K4UY1I2h+8l&-5J_JxG6JbRz8^_%CE+mJ~PvX%=tsa<%QqG&@`XZ
zwk@+nB<;pu!D<HN1#YtQO6(=N@*=+0ub(4m1>RqTwlN^7*?FU-<N(nWTNkgzHBWrX
zUbvFpN(cTIsTz$*LqxE*k?UjX0<r1ZHnqn`=unj$?=&qqLeSarirc~#iLu_iWv4|g
zcstYbbun>_D0+3wm}Ffhvbgo%%d2StpQ7Q#14$D^ebIG|`d2H&r_sFTS8g;obu9Xm
z`{*R`+=Gi}F@KHV%1};KNY(^@{hGyGmnlMJ#<Q}0m<dc&kJs#L(|}_8u8Do$r->bw
z$%9wrSm2)YgW?cH4R~+ABkIooW{E@hmvUOqu)<6C-j0kwD(qTFXuP91PbBHhWP44r
zLD-A?yvsEdSlC}bS+cZ1Ol-DTkx1Zxx4YdRd{n1^PpBI2iNz(txMh66)}0G1?|rzv
z=O4e`N+0fuQ(7eyt}3%8?BRjbml+FUYie-%e8aa`f(h7*H`mTz<b}Qh3+c;e)SyJ_
zhQzZ=%<#<4XS8LIAGUitr#Q^1LRrM_n7C0EU|qZ3clNCy?Czt0exxb{)w;dVJH-aV
ziK(<a?e&lx=E`9pt_rK;&3pqg93XG>Jin}380vzJiLjR{&=-^_y>XHg=G+(wp`jx1
zU~8U4&`}kTdAr}>${07$Zd`O5auWkL7Tu&abrs0b`1nRjiWk;SWt~~|l>h_w>bb&2
zWsp-pzHc~~AGjm$WEN#g!S)fG*Z!T#Fd*6eTQ)`zK6Cz1`XL|#J?d9}O}8mSxkOp&
ztG`0<?nD}GezzQi_9gc}o=}FfHfMFiLWN<AZFd6GTX{$feC&N)Nd*>%x}sv#M4+zu
zXy*evMX(ljR5lAyf&3<B`L20U&~N8CIy$Tb3a?~>ITlsGcXC0+a$Fo>cl~>nToo|7
z)A(g1TNS(t0y=p4q@YLPL-*xyHTe8@#53oz8vMB}oVB)NBaF8})z~o#?0j^q_(rxm
zT-%*^kE==+zHQn5?eq~1*koDSe~OC=N%bQ47b)_<|LvT==m{DKvV3!OF4cgbW5cW0
zE-64uRp{P(rgWHdP1hKIL4y?ZW?7k1gs<B>EDDSnpr_3HX?-jmoI9+e`uvn3>cL|D
z2t^wPn_^Q01{qNMXRh<+s0vh=`AT=Q>Oj0lC1vAT9eBa2>{B102Hx{SCQo1LfQnpD
zkhlIn|Mlo1z6`6wj<yJ&LzcP_{zT02h=Kulmbf?=xl-Z$UWK~XH+A9V>o+p{bd4aJ
zkL#dyo(6Qi_iC0)(FLOnT5_eQ34|~wI8d84L6v~`jvcyCY5a3>>)lP@uQ)<^(Le)n
z<wsi{J=cMG@oaJ5uLO85E)Pgt(E|DF!yDRA8(zm1RS3)je25+FYG2WU`MEa}!9oB2
zLXb$Q=Y%<&{WQ`rDL@C)feYNspS2*=#IZf_qXoFIx$v8hXn{_mkos+14Tybd^UFBM
z61-zo^?v=!LE#&t8P^@ufF@G=O@Gl6Zbg?}$&8}GRfC_dP1Z_a!Ts*=@>VMl`tIVn
z+f@_%vip2`tmMFfF!{E{-wI?O1-p$7Q9*7`ldx@%IJ|kdVPnA|D>%tiF_vpZ0oiv3
zZI7FTz--X2sae+wBJO!z5&d_6$=g3A*9&mM$w+<2+&)Y2-EkC_uc$!v&x|$~$9Y2c
z{CvdOFiW7_z8e{tpajnIMMF_@KM46B%FGrVmJkpc<99Jx0YX|7pYad<CecdwylIpL
z#C4y0sGcPUqFkjx<fmzJ%xG{tX3-q%Y0SrWMr{O2U(S)wKUc`E_tLHE$IW4S+T!`c
zK?$g;Z_jzWnFVWi&&F{L{PWzIOG6MP3WxFpa>TRPFe7`=M9CB24o^?!psO$_GsOyp
z=yPED=~cDUBmuD=lksVOf*^guBra8z6Nlv2Jso{-26av+a<+%9gL<>|)=g=gctUzy
zPQP^%upN{#<xA&)cD|<@TVHXa%<i&BR<ous_MNS%QJ)1?eFkeL?{Z>O$NIX`jiw;S
z)OAoUY?;^^wfgYXE>1k0<kdUxU;++$X7nES86t3sXV`t70|!Ou6`nE1kS<VC?8Z7q
zT;@K!xR}6!$uSi}R&_?ueZMPp?Ljwj>2THJ2^|j1Xo)mf6*Yoz7oA-t(_aYg@#n>d
zI@xjcUdQ5`uOTowFs$vjB#=Q=fo+G=*pa;)g`QR!09W;6OOcR9^3+Kqeecuk$d!<m
z^Hk0N-pAjzr3!YDmz)+`#eCUuePcu6os0U=MH5a}DeNaJj3q)1&aq?H(+&Bu6MFEe
zx4isd<p}w_<;R~ddF&`1DXGZhp$Fn@iSK@@PLkzmSrw;N*)iHUpT_lF7pM>Na)NM*
z6nHlA{LpC*T(^^u6#B>OAKogli#oI9^}W$UF9bQUV`P*4+GicOy4P`O{OUZpo9<n8
zwviK0$KMUAa?*i9v<;E?zDO3x1n9je<H8A5bw$TEZCJ@YQgK0Kg*=<%DUkJn8*@uk
zPd@R{29ZxOl{Z}0NSy=3x|B5@6jRo6>|0;}b70Y`=ocnDU?Y26(Tf+`;+TK&-DJS|
z*m>rGWoG<)At#Y%k`K=nRVv$RGGJ%Zj=wf~tf)eHlf37t045s!FsiDj19$L|dzqnZ
z7~=e+oK`Q0Um62KivM}8MOn~8r)G9^iKu<}wL=J<Ul%$0D$rr~o}RHJYfiM?FXtW3
zBaC}+()LuI78u(%e9r&Oh1HHBsV{bHK=X#l3z{3Xpi9*5R>KJ%{8O(iv!PrB@AThd
zV@sn!$;{UyhI+iXvtD}Dgb+iQ+8xad+CMM0i~Oo6#gCyv^}enB;&^J;&^k(kCNyO=
zclrnmqT$%fir7L)v@TYs-;dM;C*7^N6#z;=wZED|*fFucwf?>|K043Oe`AX#bhx)3
zR6ejCzkB?bKm1$<8LfON*6Nz@tajFsku8jm$~eFD2gzYY&~oG<c}+0eRvzQRDT2vg
zmiGqa$)o#$zhz^3njqV2YVs#i6lu$IlSjrC&^3;4*!HL<w5V~s<(CvkuYHF}gUw2K
z_xG_BlQ){+vN*bM@3RE%B=%3F7AWKIfIov{<}{$QJ2CU8NujnWpY%<2RlLFa20KP+
z(B_uH>Ud@2zqw27lX#|vf;*0SR@Z2OKN*&qlPHVDw*+%}Hc{|!2sv8jPlx8cOdRIF
z<d9>f>{i=nDhlx3Z`&rqfUV@rZRtgM<Xf~b_TQ_C0@tT6+Wcfd(5s%SQ}T+)*y)@;
z(@H~+s)T&cH`);XLCQzONeP=DXjqTQ(b2b3=4@H54zwJKR$h)$#(MM99%FCl$W46P
zdTLG=)(W`TjZ0N<l3lez)}DcFo2M5-t@I(~L@oEpZdHu1841*U&cJ@PZg-Ue1Gv#4
z6Y0UCjyGsa1$na!{33ZOd{EB_K5o^knCGWp5R2l0+uYhXK$AU7Z!m_}le$WGnW(r<
zu#jLGWT5qd+=jh@rXU`Fz22{Zip9KFOkQ4N;Nbm7q5WcJkWl+Nx;#(=pYO5XGCxnp
zVYUMie+meA{iuH-v|j_8X1;s(QRpZxd}5_P8K98I+_hI;6B|eBW-7PS&}28Co#bY7
zxTjU$^Z8%Bi~8T2cVkrS(Wp&~Xg7x>o4if5UJbmOZgf_6vpO;usPlNY1uR)oIkz3r
zK(CX2HzZG};0t1}Yeta;++nmnt}mwIw;qEZM$w9BZ*KiSX4C?9yu3AX`6C6Hn~c`J
zr^_M3C^+ys=Rbc;ann(Is*WOk-<wY6N@2+ZywS~S34$37FN^%tP)(-S!Z$z^likxw
zb^9z}?wD%gBCjg;D(H=$eIkU9eMT&NpIJazTiUEZvNEnK%Nu_GhX>D5y4zlQTYzBi
zy0AB*N;pF?U;dcJil16{KKBu@fd3MUtW9nz;8fZ&tL@k#$s-x~$o+{q1gzeTDdCq#
zX+??rXY~{0GnOG8Nh@=B)lJL2N0G&ztUCElpWh_4-C8EB89-X%K|PbRG;(Mu-Q=}+
zOCB(u5N`JdXd@0=>tskE`dX*42frcS>c?g-j1pkm!?vYRObn}wl~Qh(H4|imeTkzW
z0h^RkbonYa;K#<NB?HepiG5RV|BKN#gGyEh9o=i|(XgB?AULX<u>Bvkw9a!AMDKhx
z{ya_)X)Pk$F~vPZyrzZI$9PlV34bKCA&d`iR-9aa^;HiM#w@7U_{jvgRwPXB8}Xnt
zzuBGFJ>5jt*<D*!IZVJtC_qcdo)gQb_UATw{U$0;3g>OwVhj@Rt;S;u*wF98qrX2J
zJBa*`<A)C=7=iuoOyg`%7Tj=&?N60K8{zh9;)hYUAry-r<S5?5gkciOPI=njiAvc(
z?{IxXD0ktx+@`!j20LWUvv)NRVrp-bX098+ysiGOtpbarnopu7ui`r*E;>`reM}!B
zh0cfIp*iyU&N=qhS0zL|E#OI{lRj)xe;M8+HABj=w$=EbI7l8_%}Ah@>p|I=x4~D+
z6nUxfv(2Zw&q>QI{9F`eJ@~ABe%pu3lcdb)LBU+fcVxZCyU`s<x<FbKc3;z+Af@*^
z>T+r~kUctuXTrI4!TIP!QJUfy={N4Ju79nGWaxzzT#e9y!?9;X*ba=45*|;@j|8-m
zZNf_e`&P7J{Q;|-_p5(MCff^d1U7e&EhkFZ>qE7{zj}6W$I=iPVOJn|GwwHeRw5^(
zc8vkOMYhND?T1LwcwJiGN)LH2J<QfLngKFfP1pAi4U$}sq7{VC_LEVwrXf6n3^;jF
z|8m&pLDDbI^OgY95ZNkQTcB`{4*N&sW^Vo+Bt>hEN2;X{lj3Cs5U5FqkY>`(Y1a^0
zv#D=%ZSNTAk-qCyON15}xL+R}|2stbt7;kA+?yc%nZ<3Gp3xxazU0n?Pk%^%#TlFH
z3V+GA<`8G=ZcQk;b5zQ@Wte2*Sy-=EHASi`hM!85(u5w_s7(VhqhxnuORnAd8FGzB
zow;+b227?souZ_TkuA!yva<W;$g+(WNvZo(C{!qCe@C4lOYfh2;po0VdWQb*;pSlq
zB%FA*FGFRLG!L++evVrr=~<_1yiF<arNwTDV*ZyLJ<{3sdu)XiY?HWuF+m+}Ts`o{
z^86GT^pxKx(}D@_^7^>GoKS<BxgTPT_G$9aS%Z9$d}b`WlAEXEtOl8{Dy#1uoF$Wq
z<G1AvSaB<l*Th1lD#U#n?6@a9Pj;lSv>X{=LpS55;y{`zyr^>3DV|s$m4!kgyO0A9
zzgw&B&r*SiJ4fQat}c<q3N**hAGmPg@~g2||9ovs$SUiI#VXnPNYC&a(>iq1T|5%<
zSQ&mi*jcRY!Gx{;cZR2r^Pz=p9^<32GKB5s)0QTg@vfN8r&@kNydrq;!0~TN&_s>|
zP5>)bTcn*aj~2q#n(mT-GfLobC}REGARFfAIJAz*3!~PX*rWv|B~a>^YOi|9f$>6S
z4(t0i;2FPbAyHk5aIa3(O7kTbTFIL6^L-OV`42J%jd_Z2IkhwI!0^Ak(Xx}%Wn3ID
zxc_2hjaG#0AD_OFJNU3O{KnehO;Y$nY~AIoQ;HCnnkh0nEr2drxy>oK5hY~mAHF@O
z2p9aLCypEw!aQT|6izcaj14Y$yO691Nk7%>GgjB*O4XS{M!7sHSPV|YG%Lc{Z)}P;
zOE;kHRO_qq9g5i9N4*qapahx&9TIU#qR1*Y=d{G5j9>UAjvcR3f>(nZjuqV#$MX&J
z%Mrg-FnJ-TN-abg@;X07mwb`L_Xm2M%bV12zeB<UUOyGMU1nrfsI?I}jtWR6{HCD(
z{OQO&cU2*jwiq<<QWo_WTYn0(YT~Xh+U(;S)PdH2eYwz39>uRIZfj*|Axl|P6I&+*
zs#>fA9C8$}rQc{<T_GLk#wyMivTDLe-n%_(>Pl$oQOCaX9RuH|FbV4a^T5{KGXjP$
zmGMv&lSF-uHpa&^?qe}yz=K{o|L{&#Y!^FvFyn;|u76uqK#pibNAQKs&J${w{$T@C
zK)5cJpI`4{+NcY6l6EgOM^i9q*y&Qt20f&7>;0`6&<ASRJ&zS$4SeDoDpT#Nhss_R
zpZnB|pk%nNG53rna_-JOn&YpBm{)F}b=d@%9*j9$Dy3m>*XVwBDLp*95aN<Ky9vhY
zHznh1Egbe_)yVhO#Y6dfqX{j5*qhYUWuT*1q>;3cqYfV0QW|i>*&I$+kNq+VrlZZ9
z2T{j=F)(-^U-dqB3n-%8V7nhp$F^7ci<07W49YAcldUY_(~H3T`v>VLf5LzD096Ce
z?YST3wPXo9qGQ8H1?iYKGaj7SqKdqU*4j*AR^T7z;V37sg&!uIc*c$>BB!R@+L;<F
zP~oww5BaQ#G+Lb66ImJjFHko2QnwXMIY*ASYipqIMVW_t2SrepdFGdFtrZ;o82>HB
zoq|P!?=)Zj<i(m(qdb0Btl&=xM5rHBLuID+OB=k`NG*3a?kcJk{M2XLIAgDZx0+>r
z1ZV#7+V_BAN{J=hw@IElNL4~dnf;E`_5b*&ap}SrO-snEo#j<sr+}jOX!7Cv=83yP
zr*x#!EI`TV>BHPnS>&J1*n4(_8E#&gJ@$jg0#eSmZo4ung+EyevWE;gprn4Fjw8q%
z)C#HlY!t+CMpD7`rUN&~H4XTj90afwViVIz+<<aBr0rdN)`23n33lxVh)_!1Z(#c`
z$EcK_jV|K_+q3QtcZvx3KL7v#|NjhEcRbZy7`HcFdt9=vy{>g_=P^=}tjt74MtYG^
zv{Y6kqZE-y6e1x~;{GTrTS~T!jO--Ic>VvJ^ZB0VdCqr)Na*?1TxY>pof&4(c~&?t
z&+T`pN+0_D1i8O#(qUst4t<kvS>f${@?cMs9=u8v|MY2{5>tKsx`y<c6;zID{_B|3
zg&g74aHHWZavj;=#PnrW$f&g=-el2*3JKdOy|-&*dA%)G9Vu4$RBiT|2XsJ@?dX$|
zp&w+Q133HHW)|46en)zFRU2w{IHq2ve<p_#y{td_u>f&bd@AIl7Nna`DYzTHL~SO|
zs3U|}fQbrvia50(qtbpy<NY^8#jDPQrkUaR_rb>JXEkAttEB5q%QRxA!&S(%GDD|u
zdj4>W24wa9u?#j{LWPINNMAdcAx2PaxK}{~PP~t+9;W<-J{m}FmuxVDW?68X>_ZZq
zHY=-kO4vY(r5LZS2@7P6P4_-zB7x_0CH<4nf6*20UUUCC7P!DZVKI9{9R$8Q9NC=S
zMwh)Vzid6t3hwf|z01355bzM<lDqfN(r{u)sv;X?dz~nHctZ{97%r5zT2R6W4};aF
z^a1#Eow8?yQ4QFQHMa#zsi2-!a3(<-2bFWCrVVMT@QB(aB8Zs=@C~A0dHQe=LAf#R
zB&P}rEXqR}zO-P?rJvi7#ts&-q0X%zRlqSsPM@=r4ys?RJ~j*C0JAbN8huX{FmLe?
zWY=SWEVIRm8)rFTPPi;_lTig!T2z-4-Z4UxZ{Gpa%UocS^vT1tN*P>l_7s>MWrkNZ
zlo@HyxncEcyz)I?Wx&0vi2t$70#zZZ6oD%|;7oV9^B6%HqSL#XdtS0Zg;AmKpdBBK
z#Ra)i&k%u0%|Ki65Dv81j`@8X;)gER+SktIMCkk7;yG-{4qzPJ>v$ax(k!iQ{INt3
z$EP3uYsCS(r#~f09TI~09A8I%FCt96Rz9~8%n2efTk@T<!oYZdL(R#O2+Qr)ugev2
zK|q_%RV-Zug1Y5BcT9+2bZW1-^EWpTx^*93E*6FLwR7=@&4}>B^V;s5Juh7GEM^kz
z76W?HtkM$~A|$lWg_-y8L4W-q)<H#p@;i({_iqwG>yn<|Rd)eU89jE1$4COYn}%&W
ztBLSB^<D8JW<e1C(cd(aC<)4$uG6g4${^_UCDFQF2$sa`PJ2vBLG6Ywr?`hQg!woo
z7C#k+NLyw9_qsB`Xg_>-U{D#nHa7Tnn?>MU3iT202eJUQ+`-@dR6xDx36o>9C{S94
z#JkVQLGHM9X$7w;+%||^!*_~-(#4uu2PFkKF9TyfW2!LJZASBBKpZl{*>(L~6@h~G
z*5!l`YM^H1>Q^>HfMnAc*{J{}z+0xR&3sUYFZb^gTYpKw=vLtfn;a1|x1;ipj*;LV
zXG&1>Ur9LH<FI!=k_ds0rytmGYQkf^>yW)J1)1H0oi}Rs`zu~SXY8y6?!qEQm7~%?
z%Kr^iokVC2W#^xItqljg!yhx2%RuYm_pZn)BG_vQIYsj50)4gRTCk5Sv`f6}96V2i
zm26DpV7MNr{Qb$b@=q4NY)Ivc?I^+bKsD!*&-(BuHtX;oFFE+R61x}mP7w?rBpF(=
z0no>myco@sgXW|cxJ*$6p#8VetD6r%;V*SUxm*qw)bFb2>B_;6zsjY0vIc+;p;rEv
zAP2+0;&EgAGSDy)bG-1O0Z1kYwr;7(fy*zstkh4E&_Yi+*t22)%fm|n<u7DG>X{uy
zhZ_OXZ@%tVQ8a|j9n*E&bs5mCJAP+qO%zxUdB#Ur8N!jq*0u+nGT=QmZ?PaO4DV@k
zHBwF*Lf_k37uy5U&{Wl&%XU`)zF(RW(LQbn?8gZ<21}Aqadjm0jV%up7%vIY$s6wX
zlW!~djRai!PN+YBl>;2}$`gP6F#t-jm*xk82(U2b=yytn4P36qS1DE+06}4+VvZmV
z<J@XKRloq5_ohYry$nE{`CXOSS5c6+7dg^^sNuXudC=zr2GG0sv8DdD2$V(AeGb>!
zMUSPbKD;gmNZ$;TrA|Ev+D4vziAjIZdcD@^0xN*w@CVzNj35N5Sf2NET0{9HA*uOc
z1RcVBUrR^%LAR{FwPIue+50`XMahj|GW@!?)Ei#7M%ZIfHk?5`9$d~<=K4?{lH<r$
z#SQ<>W#7uYGl_P8G!P!#(gUs8M>)(RoDhvA=bt$L9W~*LyWceFg8#G6$KJ_v!1ihA
zPJA|weqVii=?jA{2-bdc9nQnSMDoi&GRxzr=kq&W4+|X#V6}S86~_hx8#MzH+!N@`
zfM4K~3~hMqTaj7A#R3`8)hsMalSuo4qD#rV7F4hJpHiG-1Y4amm$t2cpgdd3hqsXy
za5S=>y+p+TH?JC-pOBhE%6A)5lpktBIu8XyfHNHg7A^7-Pb{F+M*PI>KN?_T(JRxk
zMgv?!*V3F?mQe)L->)~FG(g+xYlvk%^}Y_Qb$_T?MK<5ZZ|~HTAeV0S*1r!_kXz#E
z+g1Dvk^RfICKX7~@-(sR?*=8fdU`xzsr-!y8^0_>9;<^d?=$`;J4&eEiy40V`44(E
zpw^Jhp$>O{#zzy!DPWfc@|+mA(0{5~c$?d5aOA(}aF1jP$S-QDin8BEOE=!|DKV%4
zbp!Tb#*+eydi?NJ*e+tSep4wQrwW4BR6}_uDS#=|wS+&90&1%+UomA<g(&tvHWNV<
z@QBkicw>_i*4hHcW7AY1w85&@xR3(mq;^lLyHUfa9ew#SK?Tg3-ukxhP{6@V`TH(o
zG%!|UTb8)5BV47q^}PX<uy~`NP3r<3&@r2tgdbCetru>|^m~+$RaREjB+UR8Nxq(K
zKZtND{D+DE3o7tUyfJC8#Rz&0%sGY8L^xTqX?8M{8sru}2H}^O!N(%)vY`wSeySUL
zoIgba&sK*y{?fC78V!CX`>7JV{B}e#+mjZCo?G7=kibE*<I)qAJw>Rz({oucfey@G
z=X4afutUrA!PNOPiqLsk^QZS0dRV#bbs_Q<2eh-wucd!efH%aNG$TVscz7a3GgXKS
z4xJQq({xY(`x^z1%KDffEP2$My?`6qd}+@7nwE#R?*8YN6Ip<JVYWccniu9qk7me4
z%7fzB!nXmzY_P-KL{d7q|8J0E#SLY7@Rn?m_BF&oT31~MKN}w8owmhB*W^IEeI<3l
zogH)(NnB&%LNN3>*x*vD9AtZp4;Me;fDHatSz$L}(4=8aoqMy-YcdrLT&tWwdG2sv
z^rQ&nT)kc>Rxbxmw0P5-ZrsrFtuaJEP7HLi_+H1%%E48J1#!|c4_tI`cq<nx4$tG3
z3xDk6Ipb}5M?aGftkpCv=>8C(&hw;Z)Dw9KIT`iT*-HT2KbT(D4VQ%S%p3z2T?Jse
z_vp%`r64$cA6g1#mWEX$=apDGMc6RBYn<$K5FSeV4J#DMK;mh;w?L-^bL;DI3I-xj
zv*v=kZ7Bx<7ORn_B1F(>;qVmk5QVq8qX%%C@({{)<C^UV5lWPgCq<@+LE_xYihy)Q
zc%c*>dhfk5BsobB?Y8dg-Sc-}%Q=Z~GjC9*ldJ-P@tDqOMhPf$TWYmyCxTu)D=o#W
zDl~4$;%=BpLf4y|S&jf@@N^@b`>Uo7&J@EOYPY4}#s}J4yz9!4V|B%YGM@yG1IBU<
z8l+)1&Nf=kMg?B!6fuUWX+r%s{_?On891E;rE*a!;C*L8@b-unTnY0&F}NuUUDkY;
z$|F>O&S3r}Te=REwpgl7&B(zg*$nRyqyirCO1MNvJ;+yVZP+T2ho5~+e+BB5fhfaK
zoxjhYZjp`SONI(Cao+F91eG%6>8UK*xdL=WEWb$2RsgSi31UPBB6M-79JLoW0QF{n
ztCMvKuuwdlU|FiL|1QbXhTR4r8kNS}o2dXasnu!;8?x|u>4JXjX+tn9EVri9P=L0H
zua4S#QV?0(%gx(u2!}n6rM*azho)q?`N(Mk3>KeItr0YWiVQtw+E;R59;D97)+7q{
zFGYHYCPt9F*QAh|E(>)1?wf2Eg}^tkRGZ<r5s0WgIh}4J19_uF7VEdX;K4erV5MOM
z=cm~ngXX26)U&^(CzJ#3--|mgMP~%GkM0LkcuVf{WvkeiSY|l$p|MttYzP93Lt}KG
z2~a%Fr5Nu@4bMckBlNuup{h|ls!T&1PUfl+e=lt!c7_%C7Aiwv>dif<ktGV1VvEjv
zoIjE3*(ZB__YHt^P>q<)Bm#ss_FpyeJt!^t%}nEd-;Q|*I#@6ZfkS7@f989QWY6%6
zOBSU7Sp)tSaS{T6`4DZy(Kwkk<AX_*Hb8SPgSXdNUT7iMeYM`5A-mgDM>pL;z}p_<
zt~|;Gd@Q7AZu*Pl)s_4ovqk!lm1H|?70CgVBPUw*bXLfjO0It74n0W2v*EIwa4=Yr
z>XE{*N=_A_`^WG{7ZNMB-kR>`B2od*=uP!ivf`vyJ6=i`K0P;Xqts@E&}n75h`ALq
zUNq?dor?~*;Wl;-GSUHe61m;$&<Z(LFVygPrZ)6dj4e7TQG-mV56QG;iM*VlwbwAF
z1<mnz<JM;sAfaWg@uq5l?07o!B%7=jd_pffOnSFbm{tg0Cv2Xa=W}CQ^O7cvYCCl^
zjBg?t{sXP*QnTb8`PSLBE)B5#yKSR*_BU$IHsws{pC)Jf+}~Z6)qu}yN#W-`*ASEU
z+Tr%JN%Eucx%#<y5{M0o6dT1Xqio0f!o;BO<nlCa_MByP*m$2h6TdN!>|(!WYz&T)
zm1kL`2OQLaix>4d($1j2Ch7*~@k8XAybdk5CN)@l$@Xw7dlD5C8A+5C_LGG;8~YhG
z)j+`9GsUxV9NF!0vH8aIk+0_k8x@wQ!qihzf$zCt)MQ(%xL(>r{`PdUo?l88<{Rg4
z>dJgW+EgE3(wTIU4OexyHS<)!>(NHw^ILsLYB{ygysDLq$>yA&+1IrJRzv(qNDuNo
zE65!BtdY!dk9Ci}P#IcI%;lR^b|B;87S$l;26C?))1?TaGHf6HWovHTie_(pb^cjV
zOMb^g>!P;rmtzSQWmZoc(Z^D{$BC@f<dv$-I5txv6dz!WZcJ=IgSCCFY-|-|&1;n$
zOBG5`HS}(ZZHJ70FjepQ8kCR&H1&o`hZJE*+?IxgT!W%no9?oE=92~VCapCY6`=+f
zW%$Xk8YScY<9|hdL=J5bU3J;#XDa2zPj=@j(ZnKmVuEBc85_qx*bb2gvP`Mdl6VFB
zbav+3{B{soL?G?#&wbx47PRo=f^8XEm*L-adUpZ&*cCL<?ej-{i#soFyc8{TM0*Vv
zCn76igpi!REXaK7AE9b1K?MIn{VU$-D8PYxQT?_IT;Mu)$oWJu+WeLjkr<PM7NdGz
z(T+$%G2)?_^?8B*7^nX!eUpcZ1bn`Rt4hP4KC@l?-y*cvL#Nz2P_Uny&%X{zl!A?8
z^jOYj5%MAj{_)%`M#G&aZuTrng2KmZ6F*PAKxdbukK!|5p*{%>t1v4`kiqLF&5IVJ
zEI)?Omo4S!baX52(YF$im#cp99V$U%S;`!}2P#pAL6fztgalCaJg*IS{Sws$Q6BUN
zdxLQHxYs+W1n@i>4#DUZV&WY)wq<&UBnjSU3mFJ-u|UeN%c2a~T8)SIcDzRy@{2EW
zUKa<us*8B5gmOfC?pdBw8yRuj{*Wp5PYi4-Uo}*3R3Ot+gJY}F^=P$<-MTJZ48)3T
zu3Sy2L^C;So>z~3K&^}Kx;p=f!YPZm(l*yO$gB9ozaafaB!8@wO7F&g4$S{98GGg}
zqJ_{So^H*kr@t&^jZqXLs2syBpVy!cck39>npWi696d5{Uj#x-?Mm;+)*+TFyVHU;
z?TFLkD)lHq1c<n|Y&DlK)b2!kZ$haH8E5!>`0}4H$OP8ZCDS*cfGK+G8TlU6l9{VL
zn0636MdTDa$RE(5g=C3^g<fQn8)cW*ECfLg+Z0>R8_{tI)2_|oKJ?F-sv5T=2<!L%
zQK>XGBTwDBl6zGB$Z?MFbw@)G8WZj3l!QK^aLXIC6CMMo{HvPeu`oOcocmAJwW=LG
zS<1auLqCk9n^Y}EYXv~E>bBEzS{IV1Z)hX`9!1d^=6(+u1fW7y=Ht3&56aF?an-<o
zN6q?)PG=nWLH|)-T%PP_G|om!crrJE{&U)pRVd+uEc@#*%wk`Vb^wE-&(A4To6nFr
zM#l%U)kF6`TJGZ$XQm61oIy`SrD_At@Iw3(3SExc0hHs&Z)y8v4qZ0S{qUuQ2T~qu
zGq3$OjOe~Uusr9nfJ9{v?;TL)f!r}sYZbpS#FMfkwGgt5;;k|S36HrUc3DoU(d9b|
zWtqT51gs*-nu(VpIBqx=X?fR4V-k6kb`C7s{zB!%ZoF_T7gz<ltu`A^Bct5l(hI@A
zQBn;1-XUr(zzl!;2;G@MZ(A-|T<H9Rf()9)+M_rj@tZkOn0FpI@GM-X@!vusB~OXl
z%$$HLVOw{cUqD*lKWi~K?I7b<yN9(Na==!HeeNUr6{OGlyx^HR1!%X0mC`71fL3Y@
zXL9o@YA$SQ>ky&>!`u_oG%f6)b;f+w;N35z?>-tiBSr&M-`h^J`LTnow4!0u^l!v>
zG4RNyI~`2DF7Q$0WrvV%57lmqO|;ODte;OYfKz>XSak;ugj$_9Z7Ket`HoPDqovI7
zPzBd)my83k1pf-wy&Xh#rYUgg6C3Cx45lA+!@*QWFOO#t1$3y72NOluVaxcreBr)7
zK68!AKRcQVTK>$Zrm=8>@u?9B6-^w_`}5JJJfMMzW9hryO5AX->Fb5}hj73+aQP$q
zBpoc4jxpLL@q$KM$T$5!9L%jnHC;W=2<%0noKwX8ebNl*`&Nqs*|j#^@*^y89WPPp
zDj)>9b?-^+BzCYV3yPx&JOHWbLeD=-@B8XsB8Lu6utNf2@qOAwcF=u6$dFnRg}#Ia
zO^pr?_#tU(#P7`sqL6exdrTbG{;tg~&~QO>L+oH;Jomn@7nbJSlYqzayR6X<xncWX
zSLXL=UKml^CcBzT!-Y-$`xcLRA#vG8{OJ_|=p`^Q&$h~f>uO`^jEn$eVlH><tc1W)
zO#k}wc?Ia*VGuiNCj=bbMO`tfB2d2@95*dYgaT@fHjA8nygx%_yhcSqSHH$)JyjXx
z4j%O}p%I79wu0K=0&!Sv4Ldo6Qw4!w&or+Y3GiqXdCid|0hPiLwuW(Puzl_&ldq!;
zblb@0q}`E%AIo_*hgQ@<cX;_;injvL&5sK;J(7X-w^nQ_Y8t?L{Z2m@t1^TN&W+md
z>xmbk!>0mig3p<9t>@LMz^LqI_#9J!3ynECMO&J{*B+Eq_=*IU>0kckR4IX71ONP@
znHD%p7JKE-Xu(<aTOT<vB9#8=oID_?1sWsFr8bB4;EX`^v4}`zcyiLnb<05$CP>XR
zhaCXeeeHC01yq1$>re6bza;2d-=qlJHGt)w0{+Hu6(Hnac$Y<`4l+2}0ks=O@Xfv5
z>*+%kNLD=8W*w~p!3{eNTJ6R#uE=Y5FGK~RLi0*FjFf=SB57!?^APZsWVhKcs(`|<
z1(AkQ1~Pwoo!`4=0>?T8d>5URA+`0#-M^2;ppZzo{&2tqT6+G*IR_G9=i|-BThn|{
zuCG*debNN#f?oXae69%P1+^k)n3=(TCW|8Kxe1g6e!(@0%0qE~wch33pJ>NgZB<Fl
z1Y|j<UvBxx>>E**Z#2`t$TwcJ%v(G>1n#eNEhX<u!U7|^*5n&{ERZ|rPXDwqyuVRU
z{Gmo1j&+?=;m~KtlK7-EZb}-1-}sTOvLz8vD|PCLHs!`_*rPer&KQC2&%%qZE(*es
z`h35D3LhqWTYq}7zz|y3Oddu!@q)48xxh~f0+@W2SD*BT0YuxyzgoY`0mrgqzC8-S
zV~5KxU2?E60K3T(`Bj!Ip!9;H=_^4Hvt*{}3atdtO+Wi3Uz-Mw$HY4J2Mc0UDc`&<
zNdug=jaV=G@E3U=u?u0lB8WLq-wlbeKya_hWqfdZ7O_82&Plct#L_HU9#nYh!wQ!|
zjwEv~BJ7nNT;mbMkV|T)d7>W71~^9Lz!bTcacNnl9gqEL`mc}hNf!)FYjb)^e~}9v
zPu67Jz+;X(sue^YUC4?pnLe+xO_s)WWZXu0?2lVrTyCHaymKXfQdyzI#HbEkW?;c%
zu7?~>EcI)H<~O&<=u@=V)hqLKjz0ykKuaF(wxinMpG$XDHJAZYxZrc~%(wuSA)v;f
z)S|Von?8fHdd%1hUAv2{ivk!|+Koz63oQ_TeGTu~%8Drz4vG76;IZqywCL)XCVc&2
zHK~rnVO?X>O<R_DOzpV~**;7Y)*@H)yd>E%_9C&PeFb<-v+Sbm9ezz9)jne_ljFeb
z(Xq~QenAYw+fJ=EXu!;uSRWPwC#LaT&ywS*AZ8&u#eX401G<^^v?w^auz^9}L2Y9p
zEZZ!lOH@$<R!J16ivDq7+VkxH9oZJbPUoDt&Azgqf8E8o8ppXYUy+-!ik}W*;%GE1
z_#Fu%(@S0!f8@c6c;i{Ci-obfw!7m|cSs<9<Lf2QLSC$Cd7a(RN(7U5|F|p3mju5P
zw|g^^`LHQt;vtGJA{gQ<shd4cf{5eEgyPHmSUugn%~z*IF&DhM$budTx~U$I=J^R=
z#-0(L=D$R-`zc3r|B*;Q;~;5l=!VB`1`8w<+!n*coI_|XYm<QezaR2z&VpDGKJKrt
zv^eJVCfU9H2nh_HrFHhW2w~9+iG>U;;@Fdzy>2si5-4X@ynW$y5F1Tcz2D?Rz%-^0
zla9ucfK%bq;orf+n0@V(TM2^%_CeF#hQ68v?YGg)w4n%w8>k{D<V#@JsgM6FS|@=^
zkv~OvhY02nv!n4(R}y<Ced&&#o(6=)Oziz|5XIU^sWeXQl3393#nJ2(4am0IvR9iD
z#a<-#l@41<VZmitLpN77_VsP)nufm^=E6S2b-!5(V>r`!)YVxN9$9=C&-g8d^*X&#
ziBgcpB5v{-`}b%9^?Yjhc$hdQ^*(&3G(sA?xy?xZbbqfdUyk?o-Vn#04)guetC7a4
zMq<XEebIu@Pvx(I&k?W>I;Y;Ij7Vcisjb@I+_d3ElaG_;00Ao)J0I#lC5>HV!b_O1
zX+!@~dE=zE1h$alu+G;hja6`(Iu1tZz)I%yftN`V*h7{+m9U4>n60D7^g&)-*paxn
zJ^MuhOF8Wus%#>SEyy*7rasdJn;DmK9E&7I)nLO=+b4zTKGh~aCF(&eQuiDtN@69M
zX%y#8q%d*b0-E>bdT>acq2Js{63e?owH=YQe=hH?{yABFu&tMURc9!PnUww-nID$G
zyiPB2Ub(Li1umB&=N0$s?*=xX*`Jp%pXy7hHGM$W_}bR#C9!Ho#xZ3A0h=*fi4WID
zaQG*q?%7TWY<Gs^^^%%6M$P&2Lu)vK)APwk^dcoN`X;j_FC>PgO;_|<KSl82{uFJU
zlmsT`d&$@Nh$xm!wH7h|4#AfN0#jlw0gI~-{Ahnd1baRj?D`c$Kx57<kzzu?Vpm2A
zcRCMZLelGf<Vpk!?28P;AH}gX<@&8zCLv5XLxeRi1Hsq0F4kOaacs<+?m~<^9t$aG
zPpl6_5ah<LC|)FnnQb|#=MVB@e7)uj(OL-fAKPnYa*JVt(&U>R7x*x)3Hy!<8~RY2
z{CHa>LKNGZ2wb+*;>G@Y%F4(V>O=aF<-cFEBADk*nLuxG9*j#j?}(C(KIA$3jnwVq
zewU@7VXMxKozi(B%&?&c@|s@JakqrAlD?bT_x-sr@Bl}VdwP(5s3L|g=paV3`Sd$Y
zCnpBqDn(l4^x(GBle%ahAuR0DItQCIC#Gr!-pcj5AkiGMtLQI?6|}ZI?bzhN>bdPz
z0#4{c{Qm44qwv_9^^^rQi~}onjtIZ-LkDUCA|p#m1h7`e$I}weIIx`N0uhn0eI6e5
zKl^8nAEU3h`YNt~1H1Dqy-1Ep2R>Fh&3I|^V|FjDcepj~^WOlom0^}P)SH)iUd!gg
z_@ho<?AzkN4wNbyZ7FNRy`^glxA^(6Gi!!*YKJ*7R*(0?1N;0uzsI@qw15|*9n+_y
zFXY5}Yi!;)xobgK*JGcSW4xHn!mn5=VJ?h<t1EJ0R})rBR}Oxr<;5x{c0F+gTp0E9
zg4{okH9_#P;nwZXJebppRmTw{ZmhU-CTz@56Mpj485LLZU^gE9e6+O8jdAx&MAH1!
z0PlLH{>c|S7)CYQ;9J6j$x%DXHl=BR?5TJ(vR}_w-BJRVc`;^#VwWgW4al>vYJ&ay
z!*ZLaagKbLdL!3%4uu93N>pE}qUOa$uM{oDnDAp-_lLKx*OGvgWvM=6!i!P35JPQ^
z1hDd-O6TreCqaVYY|)iRyx9K$0096043~K{6kHgG6|!U-Gh-XeEX<6(m>Iiy36-Tq
zA*Ccsq0Q1l5}`%mLqespRU)Dgsa}yKp^%am6seGsQlW4Dea}7jo_o(dzvubY=TP42
zuBPDc3JKsi^1$6B{{&S;36Bh}k|_yPMMGX)$EXSqHpI+ci9D=?R&5=}ywlWh-~E17
z%_%Nem+80}h%2MQW?oHki#m$?pMB!j&4sp!ZtTrh#%)`EwhxI?amXyc*r1LJG951t
zFI=O7VVu8qt~aQ-{4KdvqLd4c_sWe8q$miVOqc)hq@myKCx2p!xNwnO6LJ3q1@khO
z>xwL<BgGY}HOjc~fZP9Vrd$;}e~qU5KcJ)0nL6g42V7{C8m^tqR>Oj|Gv$5z7&u$Z
zTmAhN7v3LF-&&ijj#8H|==SSr;`^RSpe^KqkVSROmt+l8_)gQjG^B}&Awo-ixjYD+
z`(~QpOvPn6mh*%REgWCa7%8@o2Vajzu?wG5@v_y%lwKPqu1`FkZdK2Nxz)_S%|0|7
zK7B8B#RwAvi{6r?R7}8Q;-N{^R~pJZxNZ=4goUai@9E2rn1IBAyjN1ubi6d%7P?cC
zjaL_To;x;a0x1m-jja|lFvQDmb5k4}>zVXC)m^4Ar7m2NoWa2Pv}3>QN7*==eRQMr
z4^tqVKPtqaXkwVU_Wqk3ZM^WJtUx^83@+3fwasR0;?VK27jypFc$_}|BY<KKUSA@7
zB;>SEclqqyBN5uT`RuHP&K-036z2x|hqN$>+8-#nOB>_HNiD(~EMVRJ^J~}jX`!>C
z>@qdJHYzN?S?fJx0WBk*+oRb`^gkK{Vqe+#Z^GVY|5;0T9~5BtI)I5%h1p%ghuN4h
zE@H6F&<g&_?8<nV#zeKO>p9M!S(q+t`^f^WV0vKT`X$9oBt{Mzs+qBHr=}~>#K9U;
zPG)ahP{zcCbJXuwb}}(8rLY9=Tf@BjpQ;x*Oq7xAP@6uXh2Ey7uIE{Nu)f0>tUSO(
z-+eRY57RU;^Jx+NS2Q1J`Dbzzt(e$Zt+CoRg@MZrEG^<1`0#VkiSl(q3+;}Q4MyVV
z$T>IWbKnOb7C2UhTu9bJ@+U4)Z9fgi&yN;776)*7?y5eZriBk00!oyFsVFDaHuRq~
z0QYI?$<~XSxT9#Vp>?M^7V7>@_##-Z^MyE=N7Tfv3D=w|-l^g+)#S;upM20e|K@go
zGy~Ul+zyMAp`guJ4E<0WA0D6AubUd8qwrTlGnS7s2Cj#rA*p=m{3<gWU`xl~w3|uk
z{ff9>i5wd0$cNQi#vCqOqTzIK$OhLK1<Y~QOLCa82J1+}d%d$%Yz{A&Em%WF*S7_D
z^MW;Of9-ok$BT;E-jdrZoJpAN6m9KeW(~PQjoZFNYhZp@T0(6Y5!e13GaBo(f?k&1
zo7-#DQAc$}t7D@)+U#)t+2CUZU#Yh?9A2V^FMrEB@3oZ2%tb4JH)#nChc+c-QC0EC
z;SuxUJ_2t1VcHZNWeMLxJTHBuQ!sHNQOWci0i|-qt_O-)f}eOp+n}imu4&gX8;c|$
z`Bj@XDa`^jC7gF&^i@Xp9q&WaBM9ia{5Hu*%>ssv<+BI!l~5^jDtIuRfR}sC^7a;)
z!&=r0ImRDFWL@-FTGLFxi=<$m?Iz|h>(U}$5TJ-sub&NYiSn4c@4D25W-}n2GN{`7
zNdY--eABXUdHj*Wr5)R723u{GhVD74fN_?&&uTx*<7Sy^cG{#VM1|Vr1};^=su0S3
zop2&P$W<-XOf-dw))NE7pJbeC@KcnOBVl>}mbVvJrf|bM#De^kjPq~zEX=w`!U#&}
zEB96t&@SrKkbXeMD;@o@Hc@2sqIA{Y*kb~%R*~vi4+ZNt9Q8Wqq<~k((hkoFa)W)Q
zGIrf7GHzR=WbdY{h$@b<>k8U<uyt^}@tvpwes3<{WI<8F9p1;5i5%s@Vz>Lh2kjJa
zn(jbgP?T{)V5~*FH4j``OtnNZ6)>Evx?@B~1uepR2&oHrko|en#UFna@Q&BsqZ=G4
z_~!5#*Nbgj7|d4;_X|_R@Ec=6<`Js+_fu2{GlvVWWisE2%qil<x1tLStJSc%bAG5~
zKNt3!@b1NBDPixA>Yq1+HP9eBH>h?47rOPuX~*rAvFDP~mp=wn%ym8m1IxJZaH8P-
zRbdr$44zJm9-^W|3(Km~lnbxiZ#e~bsi1=POTF^*G*s|4N$N4-!lCTRMvHO^-l(*Z
zEA^z~b=rC8x8Xvvm}Je?OR9MG<Yle(6b2qRlKREZg9`y*lsA1|4b4W9WUb#Z@ZG6q
zj#va2bZjri3>2#4nw;Z3wfUMDnbe{0e3c6>=BK|k-xd6SL$ki-04-cVFWOW*#07Rp
z!DW%%RNP^0@?MI`#O@{izOlMIaCNzJ&|@JDxo>t#_P=Ff>ipWkMS}PL>_lMS&Zglv
z$Ks2I$t*naq2F%V2oE^79`CI;qN7mMUxm6Qf}D4<{3^P^1a=y?@Tc17=q^>S_~RiP
zOD65EJnuDu23?J_iM|Zv{K?%*x6wx9l=_s9KBjPP#OZ0~F9s4%F3(Q5s*P7D_j^e*
zrjT@n*7`3&6AfN&Ee!jvjnB)aL%K7~pyJp$h?mmB!=Kzf#H;I|sOO27MtpPlH%(~j
z6y)X*WnV}GTL+iQnF_uAVh$xwuCWtlw9s;6^^eywI+)+!mBTo10aa3LnyV)h>zI9S
zT|2e0wj^o4sG}taMbS@-6fsfyXUXk?Ky6%JIo!Ew+7c8*7wF~=Gf_`%s(Q~`HeUB`
zw=2)Kf<K{KPDe_!P|rR#?T8^8kN#;-7%{en1+$N%9W+>YXfo^O6K@vgSv@c4L2D@d
zyl~SJ6&5P2$}0>AW8#~IvBDKrd<bdkNgA1BqR!xRWv4v?E<gQsN9!6NuDB4C^Byx%
z<z}3yo~I_Rn|!d(XPyt+%#ZO|u}q9EQ54ZJVW97m0*7o3fY=jax)10~gy7DvCuHep
z8>;3f!Ua%jjrylku7xowG12~`RGbSC-yXpS@cHfOn`)qiJrC7AKL~swgm03(LNMR=
z!FpzUjwXJms))t<s-eSBYORo9A4l5PBO8S@G2x-~FJli18r)UL-$nz7*J#_fbRz@h
z^*sW*_bTI?HL`=Qq5#^p&mPp=5d3ehedW$dMP$@F8D$ALW%}5^vviJz`OHwi^=t*S
zw-Y;Cu!j#j271`noN4G^(W~U#MncBaLgA-!eApnJG$5Hn#kRnU_o^=vQNhe7ZE=w`
z+;gtmKR>8}_PRZy{kifO*z!)AZEg*AJ$>hT&Zwi?`Imvp-2@CfA*0;!$O^JvnC|Lz
zQ^S+b4*fP>LO?ZfC)-FDE9h3=GFrt_MX{q3)v;A_7&`pPGOEiGnk{c_$QSq<;mPn3
zs;?YAJ*<Cd#?2B&o)s25FB15k&~&_-u^dM3C=L4Z(gKc82D?m=l`*ElV{-;W4%f}T
zF4On2fRB6ClEW>PkgvUr^kk_V4h>bmIXGYrb1efmH$*C8KuVs5^(HwSAS$fb8DI{#
zyWqz_rvk1b7(;Q699CO6+(?};gMGp-(qt<IbRO8}rTR+_SI@0U@`*45mc2)1XFVAe
zD0I(Ze**6F&{tkAW(GF4d6JJelX0cd^XK`a1dJ_uQIVfz3R!PTFBZy?@uXT^sztOs
z%16-_bm^Od?`u=qbRP-->#SCIrbQGmmUNljYyufS-W4vZA>oA-&}w)~#7^Pnh*>`q
zpjZ~2Rw*UnX#YF2{A(n<?7O@tPs{}B^J*!J?vU`?*`V$Eab!Hv7()#!<H4p=W&K&b
zB%GH&ewDvl0cDHj&$M{);J1fY%Pt84FH-j3cp9jP-76z9gynb;)bAIdE#Uo{3V-g%
zJ|!$^x;3BJ%7yeHv$lxqWURb%vMw=A8KwTt@Y+vuA==P8m#n0Kp>coX9zIaPPbWmF
zHfy=y<6CJ^o27uU%W7+m%u!JOk!oiEl?yGq-M6sy6j9>E*yRi-HEicjinRRVKzmq6
z8?{Rj8%czW>qY9gyTZnG<^=~b2D2V-NmRo59r^)h7E@7E+veGsdJcs3xcjE9SH|q?
z_eRdPQZdRR+HF}S2N)5(;JHKv4<yR1vrML;Hi}Q&yv2cmhtY{VH43Uu_na)=K*x%!
z(J3kSIB<h9dh?`;DyDDo6l!HLFhx_iI<1=nFV?NKif5^zg~`8Jy*~{6=NQ`)^pgXu
zE1V|vWrBVp#&A&S&=hby$LRr+3o4C%%cOT|VCS{*v3<E(*!ss{km=8bcE_7Zo@=Nm
zr5-3-A0qI|bi)Ys3NBQN&)h!sm5T2#@5>`wvhe;#ecHS<4>F}zE9^?6;UkId@vJ!(
z4!t>geC!|(bY6bR$}pkhZ*Hl%Q#l*Yp7B}w>^lz*OeKEtc|*t2@dFKU>$MS6WEMCa
zGJ&Az!~Wl68R#9?fLTM@m=P57@dUvXQs%<`(_?62zCqV8*Fy*AJT$)SzHJK7*Di$j
zHL=ewe4JRSgI&Ij)1KSRz-ka=3|+O*=u}Fm&U+mU3MrH|RyGIwsgkb#S6bLLySQic
zyAJM1Ib9RfYYw5mKO`x;Gx1SK-Bjo+9qcH!8xzX3fLhIGy0-O9jM!D?_$E^aM?Z#k
zW_Vaa%s?2YQ(18TT-&;BIyz|bVlXm}WChHP(-YyFS@>*4g;a8yHae#tBMUvYf}2v_
zi>(t`7%A1xUfadSu8yFi4&l~Ny!dxV;YAjXGy1QIj<ZmAo7Am`vV5rXFU&5@W?}iM
zZtD7vOdJp&e`l4=hqJ$QtG-9FaMhcbf`!dmST%8anXnjuO1gRL4O<pg6p8)3A@F}I
znP&`f9>6zG&F*{Om{_T8njW^6f%b<TY(+c)LiSf2J%5skIB$OUj3gbK*4`H_+XEm|
zBDvd9iis48KbP`|iq3Wyo7Ex#!sAz-w2jh2lN+83<zzK**4sz>?m>VBsi}?YUu$C8
z2A3kuGFAMy^;4(WPJsN6rIJa8g1J(3{&biMR?!X{#k&E>2|XJiMldjVQS^#YKPAkp
z>R47R;Klyb$EAciI+~VWI>kS(fQ|IQwC93;v2f4rRT+P2__Su>8I!jp6ibO;zx6&J
z7Oq|)bi|y7LI<sWn+FroJ$O!{(TxvA4<y|79-^Y~$I(Q#fjpAp9E3zaScCq0OYftx
z8c13tOU~6IV0>8l1+8EKXBA5+Q%dR>wLj#W+iE!!Esk;fF=ho%{0QooP!;R{yqGRr
zBa6vC-BsejR-oz_IluN01z#LFlo_*82A{;L3pI{dLSyq7pYNoC6LJ<;j4P#4b})6_
zdLK*hZh7@w#z+}cuj|>|@s!3R3ihXJ`Yj+eYRq(Oi4x9SyA|qUBaL^g$0i@UTfmaE
zqL*h^D58JN%bp^CY1EvJv$g6r2l1Sflc5m`cv$ZZs@6-RZ_|=<*VdXt;Lm6OvKz=)
zcChSa?kX9y96ddq)MW;}A0;<@W|DEoAE%;E60*ozplsshZU)Z}S^JXnNw{iweAx4=
zEPh<PEIs^<DU1wd?kF)K;TMNH<-*Z&*wASnWU#{&COy{O()~b0$$`61o+}VgC;49X
ztDhzyPw6I$TqEM8T>0Zp^#r^fx7VZTqzQ-xNOa{LC88dd_CJl1$I;>FD^@fUxFELd
z&jCTdvhN69B)yV|M@RleCf(z~^^5h}{zee-pzw{$eOe?GWlo<L_2xmG?q2Jg8AP;}
zE7)U3BqM)b!u5|R4{R4OVpvT?Jo`uX^D2S@-uf^%{z#BZy!4+63l@`bdCltWu2e-d
zP!chCEXc9mVR@x7UlPWM#P%Hr!F%_FCxmElVfaVyP~lS&{;<9K(Ku8YxtGT5mkbE<
zHX_eqM!=D7qa~dGDpl~+?==Mp*EqndjxMhHK*sOaSDm>psfu0Rk}0zXIWWFV$E^00
z0@lqX{HqO7!$Qlyc6zQHxN`i*_t*A{c<<xCS*OqH80Thj_6~;w-@-rCPRT3bxtYZB
z88a&09{0Yvmc{|yN0EBX-<5EgxcSx5MKnBq%4p3kB@Wc2JmfDPRz`&%1=rX1({MgF
zL?@rZfnX7*BDYT}*q8K>=u$;T)q@nb2^|h3fyEE`e-xY>*(rMEECWj}+z<0#&VjG2
zmD?h<)UftQLPUF{CRT2F;P)bg1FO5X+=|(xj=Gs5WgT0!@R*6OzGN{6oSP4kA79eI
zZ{@XZb`DHzS?T(zd`iHVb7NgD2dU`Oe!ta~&BE$F^K^e_E_h6Mr;KRPaB%rI!X;rg
zYF}?Zms-gMwcJgOn_tjy>CF2b>wDO!?ot}O!;lA8cdirGI7P>Lzq2AbXSMNXa+K4v
z8Xg$kyeYYw&%oDzpWg_#6XY%RqoezJ6WEm<y#4Vv2Kr0M=h+JK+0T;|EI)4o)j8!M
ztjn7C(IYN6&Q%vHCU+;~R+>Wk__3(E<yyG@!BSz%Yr6Q%V#P2~;6D@7dwyIW*20zz
ziOZULb#Y~0W!p!4bBL8l`to%@6UT4liYdR+#T}2lRTnE;z-ecFgUA_y=Vus%k;-)O
zPSp+lj}sPf{!DO~{dN|{KWLYGvQ8Jb+q8%rY_NoEV&eG-WT8RwBBkbL0jJCt>Fr6g
z0`(V?cBdDxG5E~Z8wOH3m|!C}wAI5Jrc~B$+s0-iNt%CUh@p*|trBfB(tKELv(#{p
zF&hi@m?3+JY<y#Wy?<#1AChJz&$QFn7<t%9@%;c3-KSQoIZy!}>Rn4-JH<lz2)pfZ
z=~~#~()?I$6F^jUSYgUF7CzZy8WU`+iFa?t#}}LcAf8M-&?n#pNyOY;rIn7pZr)k0
z*8l?DSN&($$VA6++naM<G^~HM_z0;MU^+zZfwrNbM?_uSEIFZpsxkY?%kBd_DsohP
zc}xraUkz_ewp7C-t}i7sDgm-uy`nA&JVX29)ySxF72MQ$JbQ62Kx);QWh6;WjQErv
zW9P1fd$lvayp9EUgDJkfmJF1gnbW9Qs(^Dr^I=;AoJyS8(zQ2;jy}ffJ6S78=tsV)
z{*4XrI44TW`Ya7guZGp9otMWGj2WlF_k76zb>D7X0~OEy6Pp#+BOoj2{2`ZMK3Ha6
zn;RI_z)AayI~PsL;;QrFLGhohp-M^o;5QF-JjVB2koH>|w@N1_<ojAfz^&uXuV1L*
zRnbFT7j{WusO*Q=aWAbP-0l{R1XIxKW=)8!-D2E-wYs6!(F#tr?995Xpn`EpWhPt0
zCGq~m(1)D6mavAft?7H85<U`j&lLG7firJ|j;z!Z@FJBTvb0(eH>l;gHlqaoLHmZQ
zITn!TGK7X@0xwn0VJ~Wzz-h~aaR=orp#9`gqxBC3Ie2O0@GGJu%Gqwbxgo(Ef@QZy
zmrRnd?c)6>OHw2;Grz{Bb=C}u+<tBmGAH4T#lq8FW{WZBNYpm&0W%2bOlcg-A);Zt
z(>s4z0A@g$zbT}qm~{O5VG2Jf#zyrNB37I$9rl-!#>{TT0Pp>#uy5sE&2JU**qs>r
zlWZV^Z`9mmZ~Zj^PPog_yW8YZ(Lv^1NT@72ogn?-B$&V{{wO^_M;_C*I5|o0l*8T3
zX&Wt~2`GHvr&vhH;}YSS1q?$1o^u|LX)NS{;=>Z<)Oi9L`*+2xUnq~(tq;$+S@A&h
zf!={O!TOEor^_pb<<Y=P_L{~kF61Zp&G`uS@2w0qJ=8};mp@<A_e62QG*as7fVVud
z_F|iiz!S<YMCNB}a^cS7pMOS+<njBr@x33X$oQd0=<}a04p{JlzAP0dqKK~7wq%MT
zTHx=}KgT(6z<FKWu}C70)y4*<x+&oyPeRjTI}VHn(|<Jzk&wBd(Dy)|GS;TjpWhJU
z!1HCBg8R;q@ZiRCdAAl)aDF~BdUv-m5Kb5v*R3F<?X9Wjnfq1oE&cq~&sU9MeThR!
zu%rThbH2&8n^(i+YX7eG1Y=lTUA$`KodT-*EwInX*1!zS7I?nP7_t_>abUD6qTjx|
z^I`>5yz?MpLHkx?aQptSQld!-n@azh`Nz}nxjG~0KW}5GGW{A6(5sB0=Tp74chNEL
ze!-YnurUNZVgwKTRzXW~kHVFk8JO_0a6&8I82WaM&VDvj#oGa`^&8h|V$wSY@u6a4
z82?XpZS?^)eAuq|Db_^`Ys)5A8ND}#N!pP?##42SXiqQ?Sjj~DkI8Em>I(YEo~o12
zDO8+JS^t1x$3iWGshzBN4scc+xy0_J;?GOFVr<OW*vZ_p&h;w?M4w)aZq1;ftw!GE
z5|%dZ^jn%ax04GWO26#Y@uXvTb7M=bm<|ei7N&X5aY3TEOfFcRfpY1#;k@TMc*$=A
zhj*C=((Y^it$WYF)8_5B4kYSgeT`?w7XdG_`acld3pG*x_~t98XnHsiFOy-XVhY^h
z8s%gkEi}JCCGR|=hb*<zq`(PNaMWe`caWG^^}xw^`5Qg-qLu`9b(jHt6?LfeE)(@1
zYaM$2QxCg8X>GK>V-6Yi!T|-YEFAHYSF3rghmjhrb$wSXz@W`|fkrP26(6?OzdNOe
z#eX7dq|aJ{OTE{@Qd>5*9uS^=y-+as7QH(WV+C(h-HEyxY#d7c;9_K}i|wMGLMyjf
z!|A7`QUj0K=qa=QZiKTArp2ra{KVnI7;%Zo?LjuGgl--SWNKsP9&*e3DLzP&{KzgZ
z*?79YX{=Omesi$&$W9l4ccYn&>{2!!mvYz0@@JyTY>Ty8I)LwkvW{Y3Hfk+Ul*$wM
zdsD6P>6%u6217SZ+8-AFH&-S;YR^D!@TSp(NrC78r~j`wjD@$4T+m4>rlCD8amZcF
z2Bz-#{?_Ye;%c9iIz2@yvWZeFPRiIoz&uY#O_hlURbqZ1T@A;VmF<~aWCMr%4psOF
zdYR)BtL^Q!D!5o)tn=PCfE~ld6b*rw#P)jmzsgp`rZ?eq|EB;S+<pE_%w%A0gV(&!
z5;E!$Q@vse01g++_tcltQKC1jlq*TZj@6e%ss#Pzt?Kb7*BWTZwojTqt3$xuPgGy#
z8v|&C^)Bx0qvCjOihDIp79+z{Epr6C*c=z5dRM>&=cM;}x%;H>N=8PGfd?P<7`{$b
z(o@G@jV=2tR!Snl-OM<s(HdSXAX-};RmD2DlTTaEh~vg9ywL!CYw*5)S-fpR1sBSE
zH@M|2hF*jHdq&c&AiBNh>#1;MG&0Dq>IztdpPQ|2Z2D~pR+A?b6Ua)~r&jo><fSO;
zo5!S0ZLtLB%-D<4-3oZ()$T=3S)yna6sdCQkp(zA+N}6^gN!cyrDib~MDgL>XI^Rs
z7N9W13-!1{LhFcvM$#KmRJ?aqUNqYrOye7u@au@!<j(Sa?YamLShup<7n#G?ErhnE
zU*&Pt;NJIjzZRjJNfxI^z=i8Rj!Gx3<uN4VolQ}b7_M)MY6uuJg>rqd!v~58NEUwk
z_RL*z6v};@-RNfu+x2_H6$LpSdt}!&pKb|!q}U{+HE04moL1gG*dd4KEZu$E7B9xs
z0mGHGJ|-Z0%3rkjm>hn)MkreAD}|D<tK{|w4}@*4q?_I4u);vKoYp6e-NWZf?e_8@
z?`oCdw3Qs%Tr<lM+9iwGt0<Z|^ITY?Ue_FIA%}*l_j%`2<j~!m_47w67e2Mz_?WRu
zPVg@AhE@j&xO{u^y%RcIaMhZA+PPm26<?Dde%&jN`QAbf7g{**d*PsC=`A@_{wBor
z5#&92f0J0$P7Y+tiT~~wA)w0PvMrl3NT{>^c5bu+2ez>rTQq_QIDGNY+FAjJtyd^{
zE^0Q05uc^;o8A*}LNPaao3J9zW(VdTjW&k%t0gHX1?R<ywfXZlC}DRWxhTZS7#QcQ
z+G_|zym0k{s^mju49kA{-bch3Hpq5lN;ea6iBoXcSsMx-^5~79>NbMw>Gk(3{v+Y&
zxoVj}fsY6+U)R%DVg&ndSNgo!O~#l2_NJ~lb#&3Uuzj6k1Qk!V$D@w|9^9L2wu3>%
zU&FF8FAf{Q?AtuOgg`}<NVw?!SC)nhivFs*2aJGCuYSotri3@g`<mEdbhHn$mQRj0
zf}&TC)IL-z<Azv)T8T4ooAR_%K)Mkmy^ylw&8y)1-4o3<1Wl|xJ){^|Z3N#`pET8O
zP(`aN$9~w*wJ?pfZL;Bu5q!0Czmwmjh5=`FbdH-avBs@@MZr>IkXU)0Q|F+8X7ppf
zDp#>EX;fpeUZOF0ONDC|1yj-AB2m%FkB!o_n=#vd8iP)jtFW8}4L#>-Z5D-Vqnkh5
zk#>Lseqgm%MUIX=A6mNKAJoCu(HiUKq_}X@dTZF^C>@`z3AjStrHdX<%w_fNaN%4}
zxR7fD1NpWh=;Ww}{{sL3|Njh^cR1B;7{_t!y;t@=<~hfn=RQWIAsQl7Xb26XrJ|CN
z5)oyj&=3_OH2B>j5qe3Hk&rDySy`{^`S1Sgxt{BOzMt=>vD$L*;29%W;tK4&nXZDf
znVxA!xO7lvcr56{7Gt=nSsj!Vpo+2KvTEAdI!KGVq*$zP0^`;zUplPR&}p*Rk|C&z
zmwR4ZDc3ZG8GjqLC?<8xol90Mwbw<a{EX*`x@JI6p4PtbLLI+nX9xwY%`Y*cCs@qQ
zA%8MHCd^R-wHgx+yx`Ww^+#TrlQvs`%?6u9*H#VeJZ7*jCPoKa#g5x`xmbdmsdu6f
zkg?rMuWNU$Hm;|+%<tW61tq#p)p9Xpj8(!w{u(Xh^8ac}+eL?KuKkJk3dwlYxLm^}
zS`#@JcU32^1Gwa#%W<ukjC&Vjww@Cw<JkP&X}2(d%BO-$Z8yo-JNx_!DMTHwS49uS
zw*WBZ8$C?2C!?)r54S;uD%N=JnLj1YfYCU0@^qI5GB!ldIsH~f*NH%FrVR|J_#<qn
z>!5*#^(m>HQc4)KQ)Nrr0R|lR4J!`4ua2>f&l9Tc6;N!zM%d*91KuW`9{ACwhS3p5
z8FxfvQPPDy?5r;X3Li;Eb<eBfQmM22%6lpFyyzzWd?y23HgzSrbE+cQBHF2?OdN%@
zzPziTFu<X*ci5Rn1sfhbxWP0lf~5Doq7RuEV9&u#Enrv10`8C`?{Fb3`qBT%rv~8i
z!<J;$RYgo!_0<Tj;YSXKw<kzf0HpKZe~6k_K&82xt;fhbcz^S_<Yse#(XQt1&T)A>
zz~#Hwoy>_PO+2sbI_V&P^*DFMKUtj5_TdYD%ZAs(h=OxwbYNhh$)Jo3GDI)^Ds3g<
zt{M*)kt8dq+^PB3&qW%ipN=~-`>|ks@WkBJaZ6w;GBMj<Ac=gp)~R;*F{4xbE2fin
zmN4Dx|6@>10*5LYB1#QR7*~2|ML5F(xY|<aJIlo|!%yMql`tms&<PK5oi~R@Bh43E
zf<>|8XV#UP5GGXZ3%$y+%N*3}$?ZQkiy-VbyEs+Egv>or`YFX`a6nGO|Fw-U=BnjA
zKdi)z9k&x4u1J`HQ^ds-DK{Y;PTUv!vw|6?JGveTgqi~P{(=ymn}T?{Wayw@I13tc
z@r4Hso4{i=>kmD(0%$lK=w;zY!kZgCo^?2zfO^cZxKa*3>aTm(TM)>K*VDvI57!w(
zmhg##ZsmN)mQ8)Ea+?kN7BA9`z!**&)Ub-N^Wk`EUd6Xoc1*eejb3kzKqoJwZ90q>
zom3MXzEL>QtW;Z{)7%I$w&JrY4PJa-A0__d0T(K7s~fZ-41wYK`s?)-9{lh;bCIFX
zgSIz@#Emx^Lb#1+aKb7N7O0B9Y4762L(N*koUH~hng37GLz5TTUj{t-oyCu(>m_dg
z^f3VLc4OP}3%s~pE=nlbMiB2<izuux8NlloMrRu4dC_?r$)?Iq2-n*cnI>iE!)3eL
z{o|>8$WJ;yAnhuQk!&BwCmH(iQM;4lqc=a^`^#L@6e@zQk3VcWI7Wk?oHu41cL<>C
zH4i&-nJ5bMck=8^qXG3L+m&wyf+$&L!5qLYjw*46-n!dq(9=s{&TSFI9&3}pKfV%}
zktNZ8N{|K_m(RBQMGB#eJ{!yApd=c(%|=wUQlW2wyW;XzVYFcr7mPh8jguaKi-?C*
znDM@~;7u06u?MjZwPYD=2=v>j8%l+r2NtB_q(w2a?PQzxv@BjTP|qFPPlc=643kL3
zwSC)vY1e;W<?(~GQ2&Gj6)s(7O{umL$1V@LBm1ZVe)g%8-)v6>Gv)5xMS&8ybb&2%
z!>l4wzLv)6IZ@%-w0A>V`P%)$(il7f%4mG|n#bT_DmZEHcD*exjX(E@Er7lX{zy&v
z(0qdmOrJJ+oxigVBltNFIeMyM#_!jihdxl@L#nZ5t@>JC{OBrMNmj$)i1U)FA~blN
z6RH^5Acr0!tI<1})zP_oMl&Xe1~X6S&r+-vkj4=l8Olq>n8Ji5rcoMfDD^37Qdh*-
znbHij(Zq{ibKL4r>qEn!Q;MIc5;C0_RB#W_LPPQ1x&c`O*d(Ttb#^UJWEbp@#NW`y
zZ&_c12D%JjK-A!E^rA9O`way>O4LCK|1Oc{VnayHw(U-vR6$SwSIVMibn)3zPweai
zBe47(zoOQsif=*`OW)A+P=3RxH|80`FOtrRaDy7&-&pRw`L!NqS<I!z)tEs0$d}Rj
zC+ZmEILY;cg@P6AQ|$MrOo4Y-<2|=i8hF9RwedVV1y5H;wlAxjgRZ*W;!SNb4w<Uu
zU98i?y}{AeiQX1aM;X3k_JNGnnVvQp#(KEGXg|N>t|crO{W<Bu&_rexsSB@n>SFzw
ztC10nR-jItaEwmY#N116_l~OQ;8c2-oc1p|`0F{vOH^s1=c?{wiKkj<vdu4{^2}O(
zx`+6MRBPe|rZy|S88T)ZzLIG@2Jq-rLaa}UCW`AQbw1+JK)%~fFN-%ZKu>yviDa#b
zXVyP(J-MQao7cZdB_%PyZ2H>WPJ)cboE9=Hzbm7cuK|s_jsY1PT;h7g$cT;s1zn|z
zm@qdvmNLkIp4#8Mh8s1IsYrb=z)T)f=jsIfCKwQ0pLKr7O&w+IpY~Q7tizi<afu7P
z4Cq(lIFRqGhW=j<#diit;ArXG$j&MTT-beW{T(Y+{9DHpeSkw0yR-H<jNW3v^foh|
z5-All-0swKa6u4lHY=n#x-vliTkurxxDq}SdoytOE-&6UFp*p*!T_(wNvl^-5!pC$
z$lC=t(e1izSV=Vi3qR-MfMf-H>)FLGZOw}9<?rmBP5_*z+Kk;9l0)5fGn)i7nUU{w
zPWC4W0Jn<^39Mx@nArL=UHrr{A!8L7e&sA3%F<Q0CuU1y%3c=6%F6}9!sJ}(09t`X
z-qUri&n3}&<E=1%mN~*tMTPGjhZRij{`ya^Qyho)EwtXI%@B=`N`~)mvxLzLW(M6_
zV#sm8mR_j(m#9~)SA39S0hKYLVf0K9Ea~uasxJRS$QJlFqz#&bz_sT`j+qPN^{X5W
z20ed>BdR+rC5_D?E96$|*xI}BHXk*ZI{BBlH)@!6_L><)%14}zEEPbr|LO~m`^^yi
zif=zG{WJxYO)?*L5q!9-aV|fyV3yFWVSDu+OhGNdsFKdfiyq$}$?BQR6K_?YUmeOc
z0g5X9*y0Ut3`<=sFq>Z>*56D^@#Qc9r+VihWk)XD>fc+!HnK?UR*;f&3NVIEgH}Q=
z8#$5f%xoH&ZG|YO2#2KpFoFliy<Y7I=0NIv!G{zTCbVWtcxt!Z2$<}?&9F4HBkje9
ztO8eN3=ff%*imN)&KtQN#k;ZNwl1l_7nv;hZLq)Ty{#eKzLVI0LWmt*xf6{fmq}=J
zU8V3rwE>(+VAb%MWJ6t6Dd_iSL&~`j%Hl=?h*0|eDsGkyg?{rb-k4@b>?kwqXx0Z+
zxnU6(C3dW{cKtLP$BEtZ??|ru^ughXU;5QRcHFh`OUm{Q+*r6ook*IZf!@<jCEG!E
z{GPMVS#2FJ4xBTHD~+bX=U25p%jY?eY0KCaQ+|FNiJ$s5u0n&F7nS3oMx4n0i}i7h
zkRZNpr3MAnP{ID@M}?olTzKuep0bvn5Zay}-xzn43Y$K=vL^_0W5vnu<@5W6QOU{0
zF<F`l6Ga;xERA^3^gzp(@f;C6ncIAGypaM$C0do8p}hEL_uK2AImOV!#{UFwGzI9#
zGTXAp`B1Ovs7t_Qapd--8id(XfVl#V*{%p+Rr%zBSP4nIrS0)~M3@4VKTP&EWeQ><
zf4xO(ofIxj^M4Whs0Wi3LmT983*r5gg3h+obtq7fSaac$9^kF*eLY#iSlKl0G<Z!G
zi=)@8u{-ENmJjb<-Wm~PYAjnNWym8#$j*O?ss|ho4!pa?EQUYr9~bltD_|)2E`8F|
zgJc%%Om}B-lu*xo5hJ36LVt4~hi=k?(|vF2)ZR<ro2g5M$qvdW^6JkGYJ?tSw3ZwX
zcaXw65--`MQ&jMz^$PdlpL*c!{lxOsv@|O3{P7@aN)_Lxa!mvnP#~=<w&zKq%o<k$
z+GBR9W5>7lil*xn*!y*~rZ7eh8Rm!QyDK&D=AD$-_9Y51wkyUntQ0VO)9A7)O%vDG
zm=xZKq{7P;w_Tyuia4d4bfNOT7D{rgH~UYE1_~lR4WW)o*w**C`31WUj*RX3N}ZrV
z+>b0jnM2B`LekiJ)lC;a)of#L{iF{|M>5hQE~?<BUk!f_C9QFRe!*D#lL6ER^;c-8
zuk~$l{|^Z}DVX)mx3px;5aL~?HdYj?VX@~no*nNgxP1EZ-w&$B@YC->qvCsYWKH69
zeIic9y03$ywr5S&(EV@d>IV(<sZERWv!-HeRMo+gy{53(<5-aVl8iigxruBxRJ`2x
zqilS)IowW>P>)^nlN~MzV@#q{WD8bVz5B%i;@HdTvrV-y#A3)Y{sjf6*_vMqI#|Kh
zJ8dUD-)SKSXGkBf90kprm^OTWMTb~xn=TGnZFCgU9==zgi@+Sp_An9vwPj0IZMD(c
zr;qPpy*3_gOcvpkXF%sQV%gMK8&&u2r|_p~V(di2@mrY;cyf>te0Ew3gBLU7TPPan
zVsRnAirX6QU(!fBds+*3FvW&E%v8npc3Ea87i;)9vc3LSttJLd1P$1dl<{Ix)8wA3
z))288!0a?e#;;cFv`@YYctW~YXm5r!d?N1>%<R{|re+iVBdzQ3Vaw<Po)l{+X=)^X
zy-`Qi<$4WE4GHY7d=bia-WoFXCjRuFQNtM$<=BNjVH{M+|9x$fHP{u$F8L^{q8y~G
zWN7f?_tjH{nw-|qu)~X_P^FB#?mUq?F&yY0{9n-VG6wM1Y746EQ^Ls5&_cd3W^A-?
zFD}^2fCTSnmQBkFSbW%_TJFj}qHwdvk)dUPC_k=bL3??ekh7b8vouZA>L(<o-T~ND
zeBL!AUj{4u^-ToHqlEX+rP6i^z!trRh&n@Qq;U-_DH-(=SGKL4csiu-*_|ZXD}kqO
zMev*q`ATG5@7W^0#;I<ZV=*6##V~tEw6)ghIwG^X;JfCuB|M)_G9P^*f+in-a0>n|
zCuFC6wdT|<;q!&v#+F?|_}4K0^@vw7VROYo%*M+C#Ol*VZ&C!29^KzoEl^Adt{e@&
zl4%aE*{1Y<4?dhY8o0%c_YDzrHo$0hzzjC`Cu-;9t>v55@psMLRYbN|!}1e7Gsr!c
zUK+EW6B8^Rkc)j9h$8F9CCO{P(@FZgOHPv=Gv&loTer3l!lrxjvOb%@LXMQw6DL+o
ziZ*0;u(uOp+WS{?wbu53$mQ^^G8Q~=<Bph|;SZwBg{d+6sxdgft~%th#+8*Tx{pP=
z`v~_aQk3W~BiJ1+8zMkq!eyyT5BAv%5`&6&BsF#z!FpvqN9_|UM6O?b`QNG$LX^E*
z<$i@Bup~b{n%A*J<g#6pzu`Vk{Cp`?=&oxBJ7+ID%HLTeR@m7y?IR}%8wITZMwS8e
z9qPBO&HP8KGt8@O@|`BWlx+K9C~W}WXWzKyPAw1-Zrk=IdHf|#WnMB<P1XlvE;iw~
z%L_!#^MeOOJZFif0sf0CV)}45-!6^hxIn}_*g5WdW}e9PAMh_up}`l^th+m%7YJ`Z
zqw0;1{}C-yx8p1oX>j;iMr3rt0#P;YY4>$%iMYH^JmA(-Dr}dCXK`iuM}*fuew^dJ
zN)#Up`&MdBg&N<7RP6`<h&>LO!=AHDxWlkWC+`yloVS#d_)jkqzn9*gtl7bWbw_C{
zrw&q}yUCI(H)M(Enqxk9xQ>KoER-BF69vY%vQOCMFB6>dyFYvEVMFIlpZ6D7>H*{Q
z+48qyt3>?uY~ML94%D!Xj<*Weg`Tv{7s_`t;TfUYpjVxo_?Da^X5Xv>4bMd1S<;!Y
z<wjMCR|_{XnsX-gG<3iqoFggAng#Q@u;<rbUaWc(6yz7J4QjV-y@I_-_%1i{{ta6J
zj4PS<ji1(n+1Bq>VcD$6)2qeo@lz0s=EF(54r@Ulb5P0`R(8A}=`PO)!uV?+XK3<}
zCLDNZ)>wU&0~h-~w$!{9L63x$#(lw>kVWGS>@(m(!zAWMe9mHcx-ZdSieD23>NFdd
zIC=1mhv=RFQ3-rrDL7nPMg}OXBGz&7p&v{0$fbEn+^xK|{%H^yIMt}#XG{d}RfPNT
z3f6Tft$SGQC4&sivI)6nje>aamS^$>b6G4<yJ6s>N``c4%_=*owH`oD?`vG+>8SfL
z-BXHW=<%u!m%S{4c>_mARV5Yib3mxcK~pk_do&lH;u1slJ2$#do>9U}cZIE&PLLt$
zFyEiy0&zTi>d>h@lgc=e4u{hk$RI;^A8tJ>iS0uhd5ywUQQ_Fl8a*dX_!9Dh*mh7F
z?Y@fMOHx)x`+#FpdaPP-?pM>(;UF2DXy&&5)1iUM5&v{!$FyM8vO6;Np&W`99cVb7
zsfn4+W7W6#bbuDJ=U4W51r&AKY8V-yjRtQ>k#A1u!lOVP+t3n4B$bL?EVt1`XBsK{
z5g!HK@0%}+Us1y9^fToY4hp{eY5wm#7ZqG@9u+m-u7Xa}rCyKwD5${n>65JPTE8-X
z^s(ldDqf2Jn=<v3ibB)O;vdiJ1HakkEPq~gG-&DSOZ1@OvES};J7)|aQ)JOq%tr%@
zw&#?nj?qw1+Jiqk$p{wgomYHbkug_{+*r9;AH{ASbu)7{fepJU5xsMoDEQJ|CI6&8
zdhRu3=`b;aODmhIS*5kn#cH~kzF!~jXb|6>G%aAIQfmDNF&%VB6^r@8s*i5W?-#Na
zte{9M*;BGt2RTxdP7Up&;oWp@!S(C_JN7z;#|P@-b$2G!@c=67R|?6#o&dPlYw(Nu
zP8Zo`{BL#9Dag+`q2^u5fYi#K0F{rrc<ffs+x?H$`bJITzE`KLA%A2z&oN3D9nJ}J
zr37kX__ra`5>6YqxNMh=3pyzM;?q(Nt2zpVUwGylWCMhf8l`y6Cwt?6u2_XB<9o&q
zE~l3^@D^T>5AbW_=&jC11y%(#X05f~@}CVX^BVoTKxm@Xu+~$5FDcZv-I(ZFZ3CHx
zVgg64$vD63o5KeS5&TrDP{WyG1Ge(-CS$YKe0l$m%z^+OWMZw?>)37sOf|bx4~?nf
zN0zHCJ}u0+S!>kq-kdd*Ir$6zQ&+)Zd4Kc#U4ICfB`uHH>uX%z$6RRZrG)3ZDmTAA
z-9{98^4u7eu!bW>mxczi6!6PfP4l_;Ep!D*HW4D70d{-eB#!jTqU`3H;r3Uf^sl#w
zoK86g)aHcBPObUc-=FU;r5F97FKrKJ`Enm%wTL-pE>Qvt!aR>Iub-!n<)670rUGz0
zdfj%fQc+ym?U}rAaFKp~4jgFCbZ{?yWp67ajPp#}i~U`f>DNLx?5y;)0<ZEM@o+l<
zR2WYmU+=X-4_RsE4UVz|$C0z#KU=x6*&cj8m#xs>%?*jhKed3IMsww$7Iw5Xy**WN
zeTAMePZ}n5m_y{qtgx982{ZFXxSp`B&~Fv5jz$TXLlP~)i+y^Pcx@2zx!-1)Udp}q
zM#&a40L8cV_sIW<yEo+=4tXxoXFPYw$lf#s%H}>PZ`K(i{8wfBv%p3AS1Z=0^<5@l
zqI7XgEohR6L+j!vQUB<3M+5V!bWGs#(7kW38;6O5_2N6PJYAscXNlQqM;ODu-Mapb
znZ3lA#<?!H(Rq6MF~2LyeMZnUaQlx!Y%38_d*w&(hIzWN3=h|CTO-In>69H4Swp-Y
zS+}{rZjNq{bgDWu&k)K+j*tbmBoeK`>+LIp=IC!{R#e?34B@Zm=|TqzL1&y*wXfYU
zNB6%}BKaz6tq;o?6@-8Ok1irp8X2=TZ-$*qhnDog=aaxgC;K+KYF56RZ15aiuqCe0
z@}xfaPEuIT33SulMIVJZeww3yKH>a9dYT5>-=29+>-5nNdOgwUaGs}=BbGn)1k!+}
zA9#3Hb%0)Y=+I;c{{p?@38nqi92I7gwZ54x57DjTuiclPU7&Z&O-k2>QNb)#&|@8r
z(oZYx8~?$-NI$-BvaE`S3K^r?+t@?K>Gxl}Ot#sxL_cS9ywp970z>_~;Is53{qaAs
z?Ft>s^v=^Xz8GB!G*!+sT@0O~zjW%-#Q0VE<kE0qY>Xa^%D%4s@@tyjUZz9}MkY9T
z=2Va>p$mJk*7lh1U-~n?(V@v!W|$b+a=ZVZ4s`BmPj6bBp)VSIYkS8>f~VIM?)<P^
z<D>75FQ*>P(f7-1+9@7pg`+%&J{zy`u~T^4!9KqQx_!|1>4X6`5Fh^)A={w^hiFBj
zxjPo=51#K%n!3gT$8Ci-e%9B5TTi_>qdk}D#XDU%j(TuGFel4=UXmtA-&+tooVrT?
zaksN4)`JHWpVrt*GHC*jbKmt+W@dQc`$yh5o)6ru4Vg06cz3{6aVw`23)E)I9DlSR
z0E3%HCnqO0plCSjFh>OmZoj&$Z@Ntg9=|l1Y(Jv`tZpZ%)tlKsvK!{#RSLrqmHX9h
zyc*E5V>@%$GCOQzX>R7(Eegibj*O>I)nOZZoJ3wLC!9@s-qI)}4k2oc2jHd-4G+0;
zCOWubP$EF2?XLvL>6UK!CZ!IaEIK_E`1zoTV}53VMH+k=TbrUs)qtPuc$X0@0Dn#1
zbIe)EKpw@=t^PkXP&_Bd_nK1(S{7Bp_U6gK;hKK=YYl49YEU%$H&__rj5`waA1c6m
z!DM%Xel=LVfBf$tlPCzcwUD~_m7sXtA*Cv5btn?{(7*Xy3}`l1%Yuo@&><LgwJBH~
zR4<3Kd<>I-{K!3XSyWX}YQOG~KBo@hJ(*Q<r=;NE@y8hnBWiGW-N6ZgCmJvzUN-qO
zVI9bsuP!%~X@F3wl~HLN8H}QS<K$Oa7}-ls>rB&xp;MHxoEMtVbZ)0ywY&m6=Qa|H
ziPeTL!-KUhQrfUdDNB0hkRtrv7UCZfsSDeu6?-<->p-@4XCEh_1hZ{!L7`R@*p<%y
z@!o%W@bSfsQ}L=Q&{|zmr$M7a?hs?fM4SrSj<bATO;!aTA=dXn;xv$9w~AR^`(Gtb
zifu3QtHZU$oOM!tG@uN$7&ooxL(fW}TSJ5fIP@;GUXRg-7MC4w9m))$zD?_h+zc7I
zJow`MSPfw3O&#lVX~vLj_4}B`4lQ_|(BrFTYXCM`LSvelrf|cz-REhNHne@za@V07
zK+5^d#i9yx$eYY-mMYYN^sgMd8h+`+{PXYcrUxt`%0fKncZx1-kR<PK*`N=#zm7Te
zvj7adQMXgH(}VZFvTxkpMuW2d0=yI17*Ic`#xC?k54IXO71wZ5L6?>P$CfDuxbv_y
zovF}+@A&1S;-W5$NM^Q*lv{&S@3BDYB|T_+t63x-q6P1R$O$Q)HlQOjyQ^eU7tTw6
zmv~mB4vMv7>qs3oFnzyVWs9ILWOmWD0-Kb9<0{kZJu0@)=4_EwIj9X9nc-3<lk)JJ
zxwQ2*!xpL%DC%D?XhF;J3$D~ONobp!H)0stg4MYvQLepY$gh~8zUdHx-->6Qt66Q=
z`fZ<pm7E4#J%g5i9&^CQfWq=8B{twh{iuJJp$3|9a?h7f{G%5qrF(yJvVr-DN5T`k
zRlp^Q-XHX#m;UG@Qm|{ye=BZ99r0I!1IEwXga7+Vd}SQr-|ArvO6Mhd9!D#{)>7)T
z?_VZ~tf)!x_1_q<KY)G1ppPt=QT+ZkCN2<3b>4l)oEXscCG}+Vm=t_|Qe&UU!Gu2j
zqQ2Mb0UF+EQ!6sXVZoOB&$czcxc5BdVdO@Dviw7(tT#oVwmtjk{SFeUs7E`iB+}u^
zWLGfbt>BuM)c)$PVMVfUYG`qW6*xS!%n91a3%Zs9q_Y-m7|E-AW^1t}_}}=>;Em@1
zRn1Y_=`|m@4x;XJEf%04w?*yGCK7C9QrbLZ#)ftpJr)O+%^~=ul*jbI3jJ5cu`il`
zSP??@@rqH*;r<3Bc`?t^kEe=NN8Mt@UdO#<L4IbC7&?>urEQ8{>ht)>TWwaX%s>3R
z|G6nlD~n8TDHx`Yo#H8st07@&W=nVTf(aZo^Rkwy{!ZV`S8(0gmxR^)4F1B+CLp)|
z$!VKwwe<K55p_Q~68=5+XpH@VF<c~R2+0iQ61U1t+HVc9p!PR&ZXXt7xV<B*`-f*U
zvE4n-&a;jMzjj9?oH=9!hkv|(*Us8aw7iTgK3>Cu6BFI^vHuL=KOaxg(-r+hwAWRo
zf*uy^3K$Z&Xk`dW&zy7fS4If-{-oI3QY4g2Djr~YVE`T7OS#n@69n7Ou9Z!JB(xLJ
zx8I~`00#<GZrB!25hnIuO5Tl;@Iv%wSEI-Jz<U4B37+mh1a0!g>%mA?{8V7bRG^^`
z;jiWs7yrx<6OTW3KD1@Sqc%m}InQbEKL7v#|Nj)1cRbba8^)EDy~nY~ag1Y~oa5M^
zTO`UBN{dJlA}uqCG71fqQc9_4ASx^8mJ}r+O6Io^8D&IB{QUlU{&`-n=YC!H>v><-
z6?oy)-g`@bSlN~tnrkRrn3$7uN7{HTENF3tad9oMUa1ybG1ulsyRN*>RrNGD+!)bt
zMr4t7+r~X1f6E#a&eZV;-bRB&XGw>38cQsC^n=vVhdfx&<VOyk)(7$`?NdP-Z0PcK
zv*vd#K78=v_9wXveOTRWy7{Z^D*TabU|HM7k5avmo=ek*g;nudxyM#xs90I$>_b6}
z*DZVOU8DydY1}toRj^}TnPZ0HHeqDkT}t3vqX#jxj~QD<IWeK+&0<T02)-5)ZR`)!
z1?wUM_e1eqcz-VQol&VM5;4EsAAHdP!|u10`hsil66$}D<`>6H>A|ZU+;yPE&f(1S
zG9Jvi*;DIuQUYJ628?~{)du_Ll{S`%e8@Aby6{d`3TGHX5igEvL$o?nN*)zJ4V`CC
z<33B{p53#``<1mJq0MbR?VJ$am>1aLQ6__51VVUgdZ=)%AbyTxOc+g7)chn+4jns3
z6bBwtL8mY!YMLU7NAtSxZ=6uTg^(+;u9vBB@y#Ad(<m{FXfo^<$y35tvZ7gISyafX
zcWDe85yw9>F?~uy%2<CWVCTPbDk$_Eu@*QYiBp%%DPW<B9TJ7+@RtfRq@H#sMQM~x
zO(J*XlX1`e;sgCY+F&(pEulX|Les5|9Jv}4w7KWLBVkG#vV-geO`2r!K<9&pN6OT3
z{Y{#q>JuF((Qi5s&?b*5mp{{_JT&p$fxeHtcXh$;kgCPvoFZCR4V{=+)WQ%h<EpzK
z^*|<MpSYsDGP>2xboAWSMwPPYDV3Z0z+`u;xw}yXXI+B6{@SFA8*&<SeU8!Ky0yFb
z&v;dg)GKna{HBKsZuttQ4y^^%q;dM(OEOlB45m&!*2i7^F>`M-4S?_3d)ZH16#N$b
z?R@MO8kWZnoN(=?12y$;;W;~X-0REO!TFtrmt9Lk>un4{fw4HFmZ*UinZ@GPPHQnS
zU8tF@l?gs4@83&#qKTvW4RNEXYjMA()26&*#!wvFe*8;=78XC;WN&$KEpF6ExVqZF
z6olXSQO>`l;)7*7p?;sWD3sP3!TZMyn)lH%mo8{y?xKm*l?fW&+y)o3%Pe5RLVK>1
zp@Z4?-h_%1G@L%4870gBxJWDeqjOUS_cA$tBsuA$6z7f|WlI2E5wYgp?{)C0e@ai8
zlP(TkxB3wE#1d4rbJHBkbui~|`uovbD!TqX#dc`pI$-q{)CKL<!I<?MM^%b7@FALw
zs=r(ZhHNQY`Wm#cCtjf<;F1~&|2QD}OVSF$duodJO;hn-)^uCP0Tnc^?Xi-zwSr*X
zs~^+{wa@|FJ*A!~V0G`*M8Ag>gcdcR{JoWZn>aq5{3wl`8#_v6Y^*?|<qzq?It>i_
ztw9?P6hqs)o^L8hR<O;*qB5+8f(Lili&Inta6HVeBH+_HI6MCP&s`lg^vc~-SC`L$
z3v6R2mg3d{7vK80>lv!}?$LTp+mQtpy@H)jL17(?x@ih_Oev$lm}m9OuW{Ca$Zw>X
zVoRvb6FXD5O$jgMP-9aa+gTXxXD$qu@V919yI-z64%d9j_|;uQh&=yZ;qVS1cyhpt
zD3U=lro?+%cONmZ?RxJwcL33eJ=eyEq;Tnmv~s8QFp=Z3#;fZk0U~Rx<fx7kXeDDn
zJ-R$jjCyB1B=uT=gJSZo%0W>qJIx`nwQ+)I2@cAdS~3TjiNqt7g~IrK=uh^3)+F(=
zd}+{(Vh%Jj$BaQw0ZfS$S|IaG5ov3}_w3wk2Be;!lV(qN&|k~$^Mlq&qW?-<R!Fib
z`2BXs4G82yIqw_$Lo6nV4e_KJmpT(TqUPOg5yg&CTXl6x_Dv9jE;%CaxlJHh`kYKh
zFB@|A&IV>Q|0G`0{^(~q8$&}*W^{}EKbBoYi{h~xW5l*-4cRR@Mvz4L{eG5bp4D<j
zzk=*JLX;VwNU5D>g5+kG-t~uPSlVxG&vXb46H-@6tw|0{s1AQ%Zs9h?LQ#^6Wyc_4
zdxJT?^PwT6E<dsD*89a05$W7@va+9uG&1yJ7dC{m9+FSALq}NatJ@+}YrYZ(2KZ<u
z#~ARb{PlF4>vz^}86$<vu0BHg<GZ@|19T{Uu!%pj_8ZH?*)IIc>23m3lLgb<=`hL_
z5^&$QkM*JDH|8aMAuMNgC!O9Jz<Jp}g?TcaEboJ|;Zi-Hh>AW^#@IRo2oVnZ5}V%6
zDv{B@n-<?j+@61w3#_%Eb1dq6*8LV%qk3aH9Bw7*56AvTCDwv&%NzQh8;z`4Q}6kL
zqGsavu_GrkUebVLFHf;`?`u}K$IY)@yP62mh?Z7YI~tr~3FD^m8dh~j)&ZsNcf{yN
z%f2li^}$>J-?P*$m8@;wr5gMi8;HohDfJX@eRxKnVt=t*!tz@CW$ixodP0?1`T53I
zJ@8C+i*1GnEDwg;f$V|T#LT_lGvpQj(oa4*@Jjh6ON?KA-gdE$h}ow>iKgp9l1a*{
zcmBz&(XMipTYKw>*Qz&@qWpEBV~eHoho=XLf-cS@%}RB|_qO!sf3ItUQ8t~K=5Ub+
z_c<iSrdmf>G`Hk^>ZF2Huc1(@%`JkT*VWE5u#Pz4%bz$TM}^aVkBdCN-XrQGm^$;*
zbwp0~wPIdBEvT;Yoc|{KnAjK^ew(fOHF2(WF;~7w6QaumLnis25Md&7(@}5U5c8CG
zeM@YbF#Kp){^@)vu{;>kv`@H!IDj{PpY_lH!H9K~p99Z{xYgsq#aV9&_AHO!2Sw`O
zf7SM@Rc8ee(;Vqf-P1@c@SSKj5>kiO1oD-v!52hH;*I1hhnt8Io2qQ-gA}MSx<^+}
zMk2|6QqFyEGx6pox2^6MHJ~rWFIO^N5|8e?Ri3P9A#8JGEq7Y0!TZt;>HJHzguRB&
zgckE7ku^O(b+&{I)7zI43x?{5xw>_8x&O5hzwWGlcbh_nucc47IM2NyOiGoVTPi*g
zUODrYr?0Dmq0UvqdB$7fq2Sc^wQoC!=B(slC23Wlv4<DU-EAb+x0dn^iggkDPR$+l
zx}*Ya@_EUkt{;fRU6!e3*L#TF(Gx=o(kgH<?(!Ks#TJ67>Ln{M|05(*kEM8BR|Za*
zH%|15RzmaDQ(D05uS9)&jNV^0W#A4L|Emz&M(A1SZu=J3PniF{<uXyM1bQxQvF{Fi
zBA(5<1?uh}ByQI3ccfY>L5`tw*3pX{gkn=t%JGyTqP}8c3vo{oPR{xSj8AqFxgF98
zcLshCn;lvPPqivQPoPg+W?BzHwVi7s#f=d=xTLieITT>^CRdL-qyLC~Z)fx5{C*Kv
zz8qd;Gm{5-W7%%cmal{|OG(Asev-)ZU)rG)DF^Fp`yTpc_7h+6R%N`{G~qL#uU%Lz
z3m+HjHoZw6B-pqzJR<pL2ok@q)O8+Ns8#;;bF5^DkQvNy=`s65^qst@Ah%5hK7Gzf
z=p>C0*<MmZ{RQ)ck`iCe?h+ChI$m_KdO1e4akg1S>{ui=^4^xK5+#AluNdoVrN4+X
z)66-C?aPE<L+SY02x+*o@i_0L=t+Wk`)d1)=PGzEFTK2dSPHUj!{sm8PZQsM2aXNs
zvxBms??l@!DcEUJ)wADeWxmpfIW!ASkWO*`)cl_$><a7NT9@*N@JMiel9$L0#-Z7(
z{DUMxJ1F<bPmTqmLAm1YEdgHOefZsEl3f!1mN-88@6{r4%TH_#rH3DQ#RC^8`4aHh
z+%3YXb(v7Qdi{RqUm=ha;4)I*DFHGNl+k^46}Sos81s~ifT~SnQl^>&1eBNVH;!fp
zou3&aes{!Rli$hB&sIx-({Jykt>-!6QHk!krdJY>Hn{)axp{F2<fdmfedC5-(dSaP
zDoR67mGox?Aql9uogS4P&I?EMnVUA1%Rtr#ddWdM33#(M_L}h~0dU^iyMOVrJXED|
zr7jjqfWlF>OfV9LO;0PEHhU|9f0VH8>rIldTs~~*G$R5gwO(FQaw?F<&B1!1E(Nde
zU+z2fpBQw`*7>@wBEz|?ciyXAq(N-v=&r5*B;d94pm(qc1w?1V9<TjOf~0?5FOE4$
zLp8sP%LjW67&iV^SJWsA;ScT~82usx;ipfg`9IMDbQa-iwo!nsjEOI#9C@e-UvDi$
z=s<mbB{BL~2|7jn4XDmaQ1!W4>(iJX1dSQL-@5YeRD516KK!W+Jp<$Y{99?TXc_OU
zJWK}Bn#~-|`Kk~$V;->)*TPO}Yx&d@bvPEgJG&)T4Rk9HhcHy=pt($YeuIMw8zUu}
z*aFmnTVYJBD2xGp$-5H#hjrm%yLywok0vl}YjxJ$Fa$lF;X_-W&_GgQwQ%1KDkw$%
z40F54gxU_NUy5dQNUB`4>TuBk#`GOIHVY$Qpc*xnj|rp6S7#k{^q`~J=;G4^BPi4L
z=*ti@0h0Kue;pzE@bCH_xbJ2J&vNq0?h)qDytk{@U7ZFW^jJ?8t}?-iF6f?b3?P2q
zw!8i*4g9h*Iu+au!9p|JccRV`E?Ecl=LxTcrh$l?50BHq<D*tE(ySnVMCGih{#qD`
z&lr2Xa$eAUz~~LMhRrng)+a(Mx}4{nE#lAvs@NZ2^WEz~Guh|<>qj&YQ268am!=6n
zvQ$NN1Z}_|L}d%N01e*ox9{6xq6%~GO+~Klw}CKEch}1X`f%l7-cO#-GB7M;BQFzc
z17&x|e*d>w7bZ4xRND#&1Bb1!V}+v)yjAP$E}NsmjnrRe=B@L@qxMV%*^%|2Je898
zC_oc3UT2oA8t-B?dLA>g*|{Fh{<KS!tfoLx*p>1pf7#HhFl(u$%o^G!a_*?`l0jNf
zX=~dfK6KOi`!|!*8YC{9m;1I;8Ep5q)ys~F;KlZPBdZ*(z~t)E%(DyfU|1Np*=(gh
z-L4gCU%avo9{cz!%N0n&>QUqI8>^(SW%KAS#ZgPJI$<RkEhr9+ynP2%e5A2;_mMcI
z4VDme+qn4lIUz9l!S~$UfP_(XhL>#~15iSIZ>pAaL!MCKaCSBc_lsrNb}0cI(^nnY
ze1Q#IhZm}vD@pjs>xjx4a{`LHSwn@4-vsoWC*|g^+!twg6>+eDj7H7-0Wx2S9FYeB
z<q;%&+Ur=t6KW35<o}fBv#VJz(n4u|rX;*8Y?UQ;#|*sOUtG&M|D9Fp=uh9eAdL@y
zPbTjfG6gca>fd`f&2kmL_BxOyjZDY-WFI3_kXw^r8m;%2<#;wfQ|X*En%`EHznN(Q
zmei`R5wmQl@t;X6^N=*^s!sV%|1*ZRgLhibEwkepr=fVhAZh$#k`=Qj)EKmLu32tl
zaiNak(Be>}G-kzw`q9UXz=_A!#><iit8xZw>~p1YJds?~7-|GB)-gK_GWhW72l+<D
zerepXRIB>x9}~jeY8vyO3gGJE=pSw7Bpj*#l-hQl3I1=aDy~-uq5Cyg*VHE@G~(vc
z|E$LZR(KEn%tv92F%>aYwUogw#;r+gGlWom>(yE{B6!-@?4|t=89XdgE|GJ>5PZGa
z-umW?;;Y^NIh-qy#jr>I`4<gWa%_9dc2c?+p6D&m*^(fK>>AtlbWAg#5`?|m4vC}c
zSRiHSusl9k+&1x~oB>&c4E_Cf37m~j-@7YT0TWmM+a8m|08PQ~BR_2=k*vYy`aD|^
zul`K0%JF8vX8~jNP7^8g>e^G<u~!ML^b~W_*D+x1;O*z%4W#iy{ij{Syvmqwy2hhP
zmjUtVyW3S6B=kEubu;goG73uXX#B3mfMCCjIS)bxz2_7a{{^TZ%kFDkpaugPu0+GU
zt1LFYbo_QlRTckjZ*==*$bh?#F2ovy%HfS3!#85zRMEy@r{fye6`s+pIlo+zNBTg7
zLBwq`2F1<YSr^HGI_Hn!KCcz<&wio%Pxq){jA7so`632fFD-2Q`cDy~w#d$Jrckgs
z$xvg}Zw7?X+F!1|p@ge__sXSyqoC-)<^;o)em%`KR(q0A#!Cj@^5~b<v5BuCz4NXi
zc+QW-dVEtxE-y}UH)!BM`b2fB1QWL1V)ZK}s^EbyW#{X<G|*GdnFCk$zUs-Onmt7o
zH;JrUV)N6)><yWMQ*uVY&eUw=dZmgVZ0?d1+cmLWKs{$$i4hdl_eR@oC!=wcm$$37
z7HTo~P?I+sL)7Z?e0^hNY|9AqzwW1n%WpqZuPqsa()!Jm&~P=R415e=i_*fZRG!rJ
zg(mQ~;lGCS<7&t-x0EUh(!%@XYp2_NO@WVD;M%i=f<od?UlcL5aKqSpPJ(0xT$+(N
zi%%$+pL2_oyGs+_PenYZHJU+TZlF`+JOwX%Nr?1$Xri3#qf$nMIn)gmRUe?L<Mrl-
znL7_PFpu1<*Cb~F32_(218vliC3kQ;Z=X80?7YKvv%~`WUh$-q*s0^@&!pnnNecRp
z82!6qLV%Lv4$@n?Iv#+|G@lVQ-2CoFfp{SSGr?DRtGLzi{KevHq$V=TOoRo+a04t4
z@7zeOrJ&#;>cQySs%YX}cqdRBKw^7=tld5e?)Uh@PYF{&O8sT?@$~@Iq{P6tb848P
z5i6Esu8e%eX2)mU0IuFEeA0eI4Rig1tVD#AaHGH!TfGOsK-tjz=l~fVdAITjf0D=6
z7^BD^jsOaaS<jl*ld){~uDbY#vRKQ1HB{CdpiOH>mS46ieiOKouCl_t;MwbzwkiNK
zvwY$?qbhjXo4fH*ixl>4wfpm9i2!oc8NJ<xDkv3j!HGjl5|y>mV*DQvz@g0DdEmG*
zwnpU%*q4eUc{V^)%boxQLw7&V1|?h$x0_TC6GNFc-=X#W7N8bYawI@f3C~@tc9`EK
zinpv5#0w5uK#k?dJMR_+EZ9{_Ry!_&A)Vn)a*O8BvpQ7#%Sm~R3_scK*(i*k7hJgv
zPME`*S3SZS8|3h=zoBETwJ`cYkm6=`b71@Tys1E57Pphv-6(h~gwrS7gP)x=1Ml^n
ziAFp!7-1o++2AgO=KXqnd)Uo@S9Ewvmyd)@KUP3KSqSMr!~3mHnnH0kDK3sIjo-g{
z`0l0&;b~gvJ8=$E;JsRHUF$A|_UjmqCyofA?$G;}(Wgvchwm$K$dSb8*yJNBzl88}
zx-Jh7p9u_}U0kzjl_cKE8i_u>Nf>S1yuKKmH-;<wZi@9qO5kYUu8&4fg|U|NQqev+
zV+i0>*qX*KfesFolO_ftIO<eLT2o*I&%=MJ<UbY1LQOuh<0}yiA81<&G&O=tdx@>(
zhsDuY!PqQeuPAN^-+gAVnF)^XHBW%OIKJTDnyMowh7Cgdo-_n9VZ*N`+iD|mw0l~(
z|KnFNtQTx@3*ccw(8vDbrzYY^9jB)0m94z9Ya>niks*{%)%`4T5yt|Deq+@f33Q!}
z$=2~Ogr&SGF6$U^6x|)B`1q0}a-RFX$jNC4pZQ%p1Yd~b{(?7E12?2_Gg(%Lqk;iu
zJ}>`N2umQdW!(Jxb7`DR)hIcCm;sIFcB!)+lR%00uPR!;lF%*uTPxX!0X)YQ?p&Xe
zz;r2*{0cc)?DD#Bh`E{pGJ?;=yy7JBrj~+x_C7hZk-6ON(nbf@kxBn$B`FLXtzT<j
zCy!>!9MhbIbjW9qH}Ytc!i<E=J%MW#QS17ZD--AG5a*FEuXI%!-7|RF^F5WYp*!VI
zSsWei?|I)Ve2|2sQx3Zl<(1L!mrkxw1Rb(YCZxaKCWEW!76alV%J||P?d8L0I;fr6
zACDfgXlqmddQX)Kjy@6G>Tre*2Y(R??z`o1T;W!r=>=6(&6RX7yiW%qM&SLsG4e=}
zdHkFsn2aUnK~`s4>0lRoSoiWh1>7GqW8S(!4K3(i0q1!cpdQ-YR@tkF!*{q|Iw(_+
zb8C$Bc9#_$8l3;$%TU7S#Ck^QECtJ=;#BwCV*uY85zmW;%BV|`+xqd9Ixf^C99`l!
zgv+wg4Q+kO_(9{;asDI?JS!>72l0k5;#BatCq)H+a6DevVWx>~EwqezE++716;1Xt
zRPpbERl}hkO+54C*{$4_{LA4Pz}MBQifxBSKECnS!uM>iqBfZsfge|tN5n}ojujuz
zc=1sS7biUP(npNobJ@FQb7eJbH99NMtw=?-cS^*W+s2SclQ4^Vs)l9lW3YMy6*C-!
zzI6GS09%l7$6j*^lDv4<++R;cX8dqL7S$Begu{Dj&nWoO^kJnEiHf}KY1P5MO=0+5
zxSh1TI&KU#d)vv<!VBl<bGemfu-|{C|I`6>betNl&otITcd>tyHZkT<GbJENf1r+3
z%WBP})0$YN<q+t~umFzd?t3ko)Uk9<DIsLV7vjCwmVNHCfXBU;c5nEsjxRJ_m~ju)
zajNpid4mW7mb@PTPe8E0MI_g$<7JX0o9$T&&ZTWCH(lW*>&DH7?^o0@efyT<yWLm(
zt*J27zz{$+^NY?e7j;||*(RdFPsTMi1;2lL185n^^mecKiqXJn!HwlAc(OpIx<7V>
z&#R;HbR-3*({76g`zfQ-hvJ0c^c6mb6vsRNRKw%fPP4rgSHjA-5`Fd;0U~@PoH?D<
z@WuVn;>ug{sDF?&^!N-wbeMI-%Um*U2x{%zZYGPVsl_iQA^^&_C1<q!P{kvr)(!Tn
zNys=mHmtS-z;b5&&SVW$oQ8yX;RQ*&bZq!&923CnLrszXZWWx2Idtu(x&$ujh@=p_
z03}^V;|H^p@y%H8ahWtRTpMfi5*`t-DcI60xm5}0ejVJttSyR3w>3B9nGz6qw47NY
zsDyIv&Y>CXD}0+e@VBqV0`es9zj3&wfIIKhw&Vy2V}AYZ{&7nS;7L?opG%iV9;jFG
z%@)MseutKf7v@lOtVJZFQx?zeZ67&%Q~>jgP7gU6n!`fvLG$aGGRUFC!Do@rkH_SX
zcpiRa23lXB|LI;5{#9-|@kx^(r4Br^kSCjgGeaxO)KwbahJ>n4PV!-gr+F3ankl??
zxK}IbA%)NVOKYz#@ZssuD<_YLnSyx8$$RzTlIXKzZd<fDKPGfs2uM3?0)G9RZZQue
zaH^|t)9+G#WE6CtU&U(zz3Z5za{t89zTKovWxD`A;0+PAN;Zb?i#&V1_K73=*|yR#
zT|qpX+VS-%pE2x<^qHz16T@+b+d;FMLKyjD2d(&=5#-2nJHAgA!$^k(c?UINj3|6A
zlOSsZmIr0-c3G_G&NaRv_>C~G`A}GYET0J)gCV|-d}5gM!&xvtQUuxdjc9x}Wy0qR
zc;?hkQ5<~3ZF|l_6g7-<%!gVH;ryNcYhy#AczDwVlSxrA^lCV%IvrvN^PJ?t-?O5)
z+sxXz?vEIreUaE>D{Kgf!DEkAWW~@%!Y`LLE{-?v6#O=Q&VW$b1_|EHVi@El>3nSZ
z|GdXpir-2OKbO+%d`k=kWxt>P#VduOEq6MDq!@5w7ysm=)hj*{RwMIgC6CwiRoX|k
z(4q50?6u*e;wYz}<2xQg!s>smUth0qyFP99Z9AI;?s@oNoobZ~W{j3-e%eL{xB5Sl
z?$;&I`^@ZQlk7^5FmuQ>(xC&pS<GR32T3eC6t?T%S$SMeAt{{Urh{d+-)OF|6jr?R
z?K&Z<h*d9qGowch;LB4BlF5)1-g5By8MavobBYBcYrhzP<vE#*@6FOk73bWgrlE{4
z<tnw*KN`SpPiCk8dlHVddY6~5tKfh}3q*7nz>$9y>RY>IFhuT(f$nz|EMPwRd||`@
zsBed_=>3yLDRD72*Ctg|SNRv|&P#{LtKNF5dh+P7Wq5s51sRzIO<~uJ=n!J%nxqz{
zfWhI+Ls#yr;o3c9S(77lP~z^q-BP27<g1Gv3YRG8tt=`%T}ub@)LDtg=}P$fN^{Ao
zICYdd%`F<B!hqvGtY0-&%2=Nw<ML>?20rkW7Zf?qfFDJM88v^E(XQWT%^DL;Oj`OB
zt}JE<Z!Nw1Ry|X}ksqeCs8w3HwC<|$@jOE)?e}p?4OK-Er4oIvQZ2l}wS}+1mI-{8
z7Y<2lk}<jbRO$|UDvqotO7H(=LLB?MEz&(??4~?)m#U*;m85gVpDH7mVHQU|O;$q{
zyJV+9X>FW;)MXl#VhsPq>)L&zQc#wsJf>@%HrAbTWRLVQ0sH>?-2F(wr9KZ5T4>|B
z{U@&9urP&X%0!TewK|R@olV=tqm2{FBD=U0%;2X*RK=YVb*w6#Ht4xY#kCevu>G$Y
zJp9B)Xz^=c8EM1l9}X(YuTFTu)@lx$7pM4_H)`OdQ&6b!O23c}4V^H%ZULg4%QK6?
z8hC1IUS*A`CQ6?R-4nBgfNJqmQP;vXP}J_{vrGvMJmBDRCw-ZKhF2bXyxTNTJSWC9
z|2+jyNYbbw8vr`Wo$4&f8W?=QrD(%`H9S>#^5?q~0Be)D`gxkw@qYjS0RR6CmuWmy
zUmS<+`!<YyH)9#gV8*`98Bq#}Qg$WEz9kXLQiw`qDY8aVQpujb`y+*-kQ7=dS`;En
zh5YB`{k^#NoclTF`+T3P3g-OV)(9|R_>^bq4np>id&ic%RblL0tl`6xO5if!w-ELW
zp{t4O?b}9GATrcbuH>Hrj98w$=Qxf~dyi4VdwmtS`l;*kQ89UVT9D)*I)PA4fpnEj
zvN9<3QG=2kWMKKp?)59r5xP;uF<sq3gp#lv&Wr|0Nc3>+VQWI@pdjBp#{~jdTsKZ@
z+$|2{Pd;YV=OCnQHoE>poB%3*4$_B-qF^lJktTKop}OU9A5AkQ$k-teZEY+9j>H=8
zTe=9HTYT!D>a7S>C(F;?y@&(wXen)(qoGN+_-hJh6`+E7vV4so1et;|oa~`AG%E8v
zB*j}EcD?%csCSMZ;zJvUsy<twzK2fnxsPPQa%b00T`oR2(cRYfpQ{D3OG&QuGm(J@
zvn4U}7kMC_`*$d@&m4IPma5A2NP*7*f84JaZs=+&Nb)x@N8(4W@Tvt%LQX(P*<3pp
zJd+jbepO+H6zuEo(lsRD9chWB#gPjX%j}Ee1<laSFJPO)E)Kg3f;(%-To7!clxdP+
zimo%ec4O<JFr}*5J!s1XDZj9it{*1o6Z6YlHUUvEdvNOtzJd$Ro%naU%F6^jO>6pS
zWrl~I<371I8r%@XdE&OqOJlSodP-a=RRl`KDn@laasxi5s?W^U7^TFo74m%-hPtT!
znuIPMuxt7$b^VDEx>Z4o-5V$jdEq5m(8~*zE#;iU)<#G;Ut?OARTv)7Y_7R2@j=hu
zx;d^sLnN_oT{zx=1J=873nAtLP-ZV-o3h6crPT>KB%Q(mJJSd9lbeFzc*Djw?yUi$
zd?_{Y@y3CfgC_CQRUvQ-kvO9nVt`iel&|;f$H7s*mz$(897LA1E{w1kpwFjV)&zZV
z(ANKw-)EmN*wqeKHW%xolKh#2cT#b{WzA9WX{QKKKK1{Swa`c8YF9pu4#s+Z-ci)p
zgNKe<X*SnsJ#=;9y@n=_Fbs+NynAs}6bv8W?H*myL!IVp{K1U<HmP@X#b%2^?cx*W
zu5Ef~+Nke)`+H$v3JlbJJs=K^_P@?P*`%WXTtuF;9~FV2Z07cCSxJbQsDA8#QITKh
zU@DCj4^e+ppVE`0AT6`^-1l@Udb>xhG5i4@vU|1~5B`w`yEv#abf+S`jB)496QaP;
zZo6reDho*ofeRlEsAx%Yv+<9E7*LS5!HB9nIJ34*-I1Xp<L_6-!p+3t;8$k7U!e+c
z=~s1UAU_rDER3GyH<y5G<MBHu_9}ut%R$^GHx=2N_T;xXN&@qpW@Q#jCAfBZO2|co
zii$rsf6zNA1#&ZQtd1KIAkOmLW}G?|X;obNg>RCEL*02ollnw>6AaA}d#Gr8^!+zA
zY_g1X5Paf{l);_nvX50NW4?Qb_L8q0G?eY)+B8=I-N}TK-~CiHCeW3e_DUY?*}_87
zx2b}rRpET1vL15SjJRNZO941&0$<Cm)xcq5|7IQI|EqY74)lg8!Z}gjRux2os^F+R
zML~VE#p;{dYpet_9$b2MWOcZ^9}Cnj*GGT;6DRv~5TJk>`|&1^1_&6rQ(kO0K)0X2
zo(_3Q01@19?XDLZASV=sJGEti?B_YTPze#<S$=!+_P8eS-hRoi^3)Ku-S~Cl%VA~6
zzS|i2VNDYzumAYKQDuZIzLt%NE2_YSKRPB$yS3oD)FX1`1!JUOk+EhmtOEIw0t(v4
zwcv@nYD0UX3A!{c!gB4HD%ft@m5}471<v2r#_Ug;qKw;OFT9x5U|Q?BtiOyF$T8Wz
zzj53Q^%N?)JwKra9}Wu{J}A%x?IZ6TFNBz*qeG=w)JrvRrvi57wFbCe4jzp3ut07i
zav$t*B!~{-*hYP?4sG*7&aGxN6#v(9ZkbF1G4o>SfO{kezPI~$A{#=c&m!9T)k)Bg
z?>1v`R)f}@nNm|Pgi0TE#LKafAUx6GeananggtREyi|kGk+IDy8V}V#<nH09YGY+6
zp}w`?nnCDS;B5^ZM>QzEvva)mA_3SYD~|OD(h<hJi8=SG0vm@1PxpI8cza*b;u49D
zb}meW6%bTmuco|$kDdawHm;03q|i~<lSioVhzfM%crK0V%7SQ0#Q{}KI%59*_kKd2
zGF*T5$n%Pt6zsFVwJsq}M~auoKW{b=VW{%4aFnY!<is8oR9r!*#3^O-N-qHp4ex8E
z4d9`+e_Q6?9)vh|7luE0r36X3ubte^3Bw^ns$FO{LQUC8feMp~z}z%PV!b2;FQ3fH
znC?ZWFv!;O&UXbU?IbSLbn-*#g}@uEf(SL@jBkan$;06<<7`z+JkU#@ojh}%hB%9A
z#BEjN!0#e2_v|e$=zXC4JayRu{dKMsZ}gXeUCis*hbB3oVw=dsHWv$Ik>Kc^+$9AP
z{ShaI(%4~xJFqFY)f{!w+cJv{B*87HroS+c4JJGd($^);kttyc$@Yi?o6ffr_WxKR
zQhHjo?xY#IYUtqPd0Y&nh2>=N&8(pK@>p>BTT_JD_4i9!ih_vsLHEr@R`^g>6`PAp
z(fjTPx*1w{*r@;EuC~Mq%hCJxNLQO6=lTcLafTw$X6x27ewYo+OYa%q6f!}kY=OH1
zyoI5f5Y~Q{jU8@HppTam7`$LTC6-f(gMnC)vX1BMP?j-4AkG^h0plrMJ`NnTy!wi1
zcW{8lF^enNK1PUGEtT{tS%|^?lV4I^aDvH@u?*jYA=0BM7f(qFfwtGhZ4OM_pc}v!
z(Q&{K`L}D`+?6W`q1#usukGf6uirCBLvI-Ow1xQ%O<53_eQ&lFw(){p*)IMNF9XEE
zE%dB=S^#zi=idHn$qz*Gg4lmw_0h<$ufIt{0&u^qtk(Cd0N6)yYyCW-k4jnRELR!N
zloWUB3uhsC`@#9H37<Za*&T2FLtPN0v<{(f+i?)|efh`hDm`Q%V1JlDUl6pDk8h*d
z2!oaV#ml_bdPv&SC};pL1p9J_Tkg4uK=WQAfiTO+;dIf&j7T8}v;IiXKaB@LuFTLA
zc~sPB)p1c~S_mGbOv}A&5``OPk2OPgP!Vpyr1ew)4lcymJkMtlhoY$ZqBtfhQX>*q
z9<vC;*U1RSw8Ii`p+a4U*hxVr507Wa-V+9Xu~n>aToOi}pWXHE90g4T<=1sZh(OA}
z8Kay2(y(^Vbn<~a1&t*A6WQ8<2flYj$p-{vfo0Q;mCcZX*gp8}RiZM^$%{Kp{QYu3
zFuSeNEki+t*LN<&QpJF^o!R{R9tAjV$F?}hPeFsTPdj()6o<?BBR4B|D1uwwxx-$(
z6!a!!Gp{L10+!eVy&HEbfgnFO`vEZu>Ke<r-`^++c<r%^R{IH{@2-3Qk2VF(^KVFb
z@JU0HvUC$qFcD_=_T-&)rJ#zA_}HH(WS~?sIn3;wGUVwMk8I1OparLsnQd#bFmpY@
zHR`qsd??>fIW<K=Nvt{Eu^IBvAu;7v{6ZDZ8rkbdT2hgUj{lTSfdaIA^1y#sR0F+F
z*+kSrMenRr+>*l;;l*x6mMngCXrzUndd1+l8)ukUk%JPHd^JB$lGT8Z>}5}fXY^1Q
zTOLasg#i2RE-&nt(ggiYc~VG;KAH}Vdt4_*gqZ(IJ(>P#!qxe>`*w_e5?Lqaz3UHy
ziy6b$V?hh@_<TzP91T(6QmFs8QDwLhJjnXUl?>Vs#}9nBF+#z?#=}jF{b-nE;buC?
z@KYztm*3GCU2Xp|nZV#h8LLr=-y#_}i^9AFkC>nX&G`DqBsIu+yRBw$iVV!&XT<eW
zOi@RP)1$RMHApRF&bGZshU-t_h9($&QhsTr{gML-yss?&BP?qHM^WFM>JD@CJ6*)e
zwTT4fP15l;B3iJ&CgDNf3k&pW)r|T2UlQ1|1tk^CYk)!0JvR3jG{k%Scg-0|b$H)(
z&}KPP9p)n6eDZNesCTr7OAx0H-2K6;V#{hEKk(UC0vKLkz{zoZk_2k}Gdsj7s$d}*
z86Pe}M--ZEi()zn?rZ40dg!DK0!{6*U3=-M+w)jND>n&*D{>dg4-?>xdLlnLk&e8S
z8n(0ht3l@LixDo7ije-)dZ7FY9ZjBBGJSSK6?)|??1aS`J>BW|?cQQKT9&DgEqJN|
zT_YMZm!hO$Wbb3G`Ac+Eo4|Y~{*5xEQBv3R1tlOqaARQf7#%s(*gqJ2MTB1Y&u2oH
z@xWa_GmvXTN0l7cX6JhdkT{~t!lWe(^+~(kyl`}+Iq_a$>wyvwVu$-1P6~pK@?*(>
zL4>68R|fh@6ydg2`QQONUN~`Uyl@~5q1{&1*9y)nKoi&CIOQoPJSz!JIcAK|PQ2W8
z6Bc<$Gz|F3`kf8jk2+EKp3{(X-;T30|776!wT-)x6)X^0?$rH(z~Fedvw{j<8X|Xh
znYn#rf|s#Bk2XhJpv0AOo?dH7up2IRX)xTv+B||6BYVw};`C#Iv-#rCwV0CSoVbZ?
zBW}_&q|DKhRi`_VOAG{!Dam2U8`$dCResq}Gt}g2Hg>HD55bLh*M*21*zzUghb-Nu
zXd>$b!N`%3C$DqcH|;mDrhAK8V=|^lK}*uBK}{IkHJRz(zi(jp8wu}lu_mZEAgl7Q
zA`T>KZBj4%*u=b|X682D7$fc@1@1N`Lg3=xL{6q}VNb`d+Yg%=BU2>_oChPfm85K5
z<%BW8ucQv9)=DE}l|#@^$l?dN)!1e&FJ^dVRr$JK$Oz4~rKPGJ<AV#2bpEIYut285
zuh&XRhNxTpv(csVys%!3zb12$70&xBT<c#kKo9@cyjp+517XG-x#yp;!Rn*ouj8Qx
zDF0mg?Qv%waM)0M->JX>&y`S}_YZw^YUT3y5EBnLee4ryyub;uimxidLiN!$<(BFv
zueo8MLZo3um>b>|zAYlG=%Ko}%!Zja+#qt=PcH914-oiVI<F?`A;PDu8`Ug4@R;{7
z4?c(w(qrZytP1I&`{BZkFZc4me;@Nyoah4Z&AO}U$PFsmn3z4C_>2d{ButuU(n9df
z^7pJ9or?I_72-t#ctOEc*)dH82T3yLs=XMw$GWhMOw;58nCUhg*(MCdatBtz(<mq}
zb%!&PC_mI}-ymg0iGcqCNxzOtL5pdpL<$K45PHwoi`<5Xn8m@RgwML@PL+#5wu>P6
z2x#BY5)*^V7r)QAl<A_x`8N-o+=PI1QplS<LmURXoMfLJV$8`Eb$&892%W6P%Zp3G
z^c8>mXboNTM)R>E?iUUm<xi>ic1S_wc2z3=pAIs;SlqtM@S~O!*X9(GWx%{qbR}k7
z2c0_bEvR);gyG>6pE-TxAkwJHJFim*We`(2xc}gxD=o%6QCk7dUAA}@)1ZU83ymbt
zsENV-dpMyCGevmh)px{+F;|Toi);)Nhd}aIZ1jK<B)+ph7ty7Ig3ajstS=<MriLxG
zDUkr`n_-u%CUuZTK*VCvb}6_K^E7(BkqEBowfCF_b&-koyDpzmX^05R^?A3V48lrj
zf2<sJQAtz7!;u78xb^AF?g?{Mh(Bg^x1(AYm0sE*IcF*lL8X6Q7iFkHoVO8M2%dtR
z|7)m9PE!Cb1=q6YuSpPLanW%43I*YA^|`v9RD^=4vs*X?4OmEbFi&TA+{XM^{ZNz=
z9BSs;JLSRf3x`_2pm{3lTwNFIh$4V*?Mzm7sut+c&frx#86KJ_lHqxR2%=-ZntgJ~
zpt5f<>t>xkYV7j0bBtAng^*giJMr3Zq;i)vcN63M4+#WZjaGrYIaR_{DIItrL%O{8
zl_8Q-7Qht+s)AuWVZGN?2X5Sr{O7@KjP$#`^Qn8(K+3dCXeC+)?Emz5-LyABe&qap
z<BBA(STk>W8lnS_%g`zBYm7cwCRjH-MgsHCxAeA5bb#x?QF_q48EW1c6BQDv4$kWZ
zuHmiP@Z{tR`Fo}oXnIh#dH-j1u$+Hr+E+yet%_;u@HiS8KS=hR)zJVxopQr@3oUpo
zEI~W!giru~LrvOl4XD@lH2rd314i$!a6WjAP;KbVqvK{8usLziCcB6PmzxJZFYTlw
z?ehmN3azWd*P^w(Ut(23c=*dhyBl=mIcm7Hd`=y*#J1Cy8GgD;edoK+vvj1uV>mhc
zodiADc=4rKC75-MabOa+L~SuQ8=n$Muwjt@Tf9sG_FyVmKh!PJ9?7xJ>&9x3)#W*w
zJS+oMXDu~XR4virkXI5xI;yb$vf;tF8xruAs!^mWWQh!e)L)eeszBz)zOU|sc-V@#
z!z1yTj<nY9`>ebp!qk(A!S9|pP#KW)t*E7=r71S<wQ>Sf>@`?Feuobl$Wf~IkI<1s
zGUd|1Atf09su<QB%L#jDe%c8#JgDJ-p9&{I5ysNSOnanRVE}KHx`V;r9L+kH`4M?|
zr(kwoPG}3uwD<47<cm;TQLTY(j4T{-Y?kfx_=82>sXzXN9igS8i9fCwNW<oqyY<7h
zWo%ECnAh+w8Y&HKvH-j!lx4Nd$h0nEy=v1ecIPaRcA0dWg_t;8jQDSd+tNJdP~=zD
z$>2_vQkV4}b5VE(qxQDM9~hy2<Ypp|IqFbq^^wgKfzMnk4L7@Hu{%Z1BgY)f&??T?
zZFUO>UxL&1le1<q3t<A)_=+hCj*hrvRU`!bZGD~J_I<}@_Vx4Y&zPWt>&5JDEdtPX
zL0$Oo^bf2wu&uJ(zywX70QJ~pKCs-nh9yZZVC4rxu%h$ED7=k!Ff*G6LQ5uQ+rIt8
z`i9pIX?`(6<LBhP-%oMDY=9#tAz=yg_+l=;XS)%)OLkAs595TFf(~6d=F8Z4yNmTk
zjUkGOv2A{7zyUwM&^*+MtJsXw)?X!ILqt~C>-wC^4quYP%1tzXW7f<^3K~xtAfKx7
z;W-~RSQF6_U3L14ed+pJd}Bc$xdyHpi~%c%gx+saFWA7Wo`$T=`syR~4Og3#U98~u
zU%({WpMThY?E)`PzSl!ZpJOU1n=CL?eJy^joe3n5xH~v`=pi+uBa^A4EKppiH_0Tx
z0&5MgI3nLu(IvSgtGE#s(8JYA?TcWAy(;zjAAG4uSGK41=n4yDN8$C}ePx515<l%5
z3ly|<xWtFah!tkTIHhKyIUw0n&-C>v3L5W7rSB_Zh3Ms_WB+8iz%as|m?_Ngf~8X?
z&*a#EJlY!cZ;~6H{dd&z<1Jm(U$9zD=wgG!>G)5pUA%Bn>CY;=jV^jRlwT8emK|(T
zh?%-Q{4kk^{Ugolplr5Ex^Mso&?9RtG!_M+rO{yPLbeV%cA(v=J%ke)8-JzjP{KjB
zXUhK57CLAqu3jJ@mkVsOh1sw82t&*hnt#(rZIsA%^_|;$ZrJg2PiNvo5m3GJcuUb)
z8%dlIE*G=s1>=&VOYGXBu)UK*b=NC0%5Gg)_4>#MVbbQSWK0Y)iq$V2^(7;NBDYno
zG6A6NE+B4%NWfz&nVN5`WYqQfMfH9wArQ_oCb*hQfwmF%mxM+wbj)T@M9hJ~yP(HU
zc(i2zYt@etkJCccekcE=M+ifn$LoLsD>=A!Hco79zZT+blyClAD*~AtgD97#07>D=
znf10>sO`|6ecmjhaA0PeV11Y(I9~;tsfQM-w}WW@V`7k5X`fV5uLNa@xt~5}YN5K(
z>TA<m;_$VrmG><t5mp?xK6$*?Lb@gIzZTX=f(3gLb#JILc&kaywjCg&P4(%)3*pkR
z@Kd3gG_AtuSNjxvHpuAK(^&EHeX@{TMh?h5q6V9j?!l{r+GsMy?xDD|Jlx2b(W+V`
zL3><^vP_5$k~&m%g4&`0hr%j8i6?5nicj`Se*s-oeob+ac~}udpSkoY@oGVj@GxiE
zb6r#wlPDm*ssxSqd&!O&WVn!-`oR1y1tnM<A9$-sgg=`?jS;`JVcJn`q2)dm@!v3S
zn|D+O){*89j>S44(tP-`<tW3yKG-a9B&&dPYIlhZNf#)JGo4G)1_%?sF0@js3bj`|
z#>4Y<Vb6r>d#^-86yI~fs<K}VdStRCW8Ue)e&2gU$1Nk|JM(s@{x}H^SBdE#Uekqr
z!!Ix9=a`_L@MD`g&(#_C_hu{Uy)Gz9HBK(+njvd+Jo{Cd2AEY?$NF5*h2pew?OiX;
zQ9?n5UBWI+&`uGF`oW?LedhD$d4g!DG6$2F?AC;M!Q>Y)G#%JY7A_5nX5?@WF1mqJ
z3!WK_ciq20hD|>4KYA*36zOs<{g;pybm(%KEYdV#WS^&r4Ms-`ILXs-?=(S3_UF*@
zO%miNBst>DEzxt+s0qCgP56;oSh@N^1!i|9C;MKrM3J+R+daE9z?#W+R`(wP_y*`c
ztrM1ra)l`CH>D2ZFKhxZ8Ae|^F&n10Zi!eMmYj<RNx=Vj^&7cL2KX$eWfC_ST>F-j
z)LEbg+Lz|$SdNH85$5f9`lBW4R!orzrK!RS@wBY*Rbd#ZdmaDno+VOBPIAi~R0jN7
z_?mhpADpLg_D%&^qFaJPE`Rqjd|p&2v__8|oQ{79yu#q=XSaTv;UOiU7<uzH4Qyf!
zRU^DiEp$Zt%f}h&s0fski9f^-{lcgw6?R2?=x9pWqgTFO9;ErM;$42vU<pZ-fkV>>
zwPXo*-ky+w5brYvSltlTJIDX9<v2o0F%ewHRi%K-z+d{jemU*5$IF6P4up8Gobk3T
z5{HAAb*#^y9Hhne_SUlM(2%@*^lL#=QMhBm`h`troaVf)eCon}3sjbFyS~aL0*$0+
zX)}D2w8}qAp(9D=NGF+H^aVQ(G^cE8<4#V|91A=nuhp9&ztWI{89oB=L}qf>@4*!9
zN?&EN?Ke}T9=iR;E<7&`<!vi6{>OOFDZkU~DyE3?g{@DOk*DLU3F;!6A86sPvT$Ag
zCdh_)$MsV&>>#k0TeNcj1nrMOv%2SfW0c(<UnZi+3j0qiF6urVrNu$US_R`g*NzD4
z9>6h!$Ft?#7TrTM`MM%am%T>F#rg4;QQAN3R-&1$&evYrVk#k(R%?i^OY8BZ`>taK
zj=WOF%MWS!L=yv99z%3%WyGoZ?r-c~XG-wv)B@T&{_63TU;}iop?G_+*DBWfx!}N}
z(mkxud@JJpOMP@c(_L@%$THUTfxB7vcNfN{AbiV<rjOoM)_?JVCG3_hr7fm)01KG<
z-79cc4>3(2=E?9`#Jv0V1qrB+U{Md!y?T}O(2C%sA8z|k%;{!9{-+~jSo`aLZ~Y6Y
z=$x6-mDj!V*fUPg+g(@QW7?cOnnR*g)c@Pc>Sov+R=4gdc=OW~W)vR1V<wk^M6T{g
z&y4<oIUF6@IhQbv?JMk=%oL{}gMii8&m-Tl+zzAZB!w@SZsUSNU9m1&PQ)3+q<qJY
z6x)xXp>Nn<=FA8~Rb5ngTx-)R{yUa)Ri5)?{txWEo}s5G!!K;#iZ&&+eaEWlq1iLh
z3s^LBRFa{U4&u_>$V@b0e0MU{{Ds*fX2()Pl)tNu=s7fU>7O5%=(*>WxR*;<(0a}X
zrMF~cNV+FvxH^Zm|C4yDmAs7U3!J!mM39WOJ01LyrM-a7d_A<!arY{wI3F`KVWWlg
z+D`AAb^3{gPV64}X8Ieew>|SPHeC}*{o?dt*IL9H$S>OOIQ+$wFB@@LJl8<s)DSri
z)g??tQy{nM;s!Qo=<z{IN&|6i?qjmF{Dtk0t}8eA_Ycd<>BS!iR!8*ZPT%OnW$gCA
zvYz-b6X46o%ZIv2=*)|3&Av}7Slal}fTP=3;HdLxSSNvmd<5^uJPlpL@(uU6hm5j<
zf22pU%Q-bPv5*sfg7^nh`W0w9bdeq8w#(;^t*9c33GTN!*E;s*R@K?`a89sz6JlBv
zpo*6F8tF32ZDM+HuP76zxdFF*`7ZB_3Stp&ER+k}!hVoh{R27~{UJ)pq0yf)AFO}e
z`kM)!<dIg$CIaxcbc)GpMH#6~wYc5)U;zbI)yl3DLLk4xxgs-D8C|q(DEaY;6)ffu
zEt}z^wefFCvow{_xw-GYHQDSCfA^GO#$^%c`WW>sbBu_#=zi})0yv@7B!+LoO%yKr
z#szO(CL&SiTw|^<ZV-H|diS}VI2`C5HEi)DqWwDrl+NGag|k+=npm(TbeISGP8ksq
zu9uU~9xni|y+Q++I;7!pcl;w^H6rqQ(k~V0B?OL570)`i$-y5VRxKYg5rvtIy892~
zAcY#l7n!I4>h*Z8Xa^#)e$g;?+Ft}dda6(+*A-#2sl@t977^Jp`{3CLqCj;BBF*O#
zK(Xa&bnh=BI{b#MQ=Ls5j&ygueq^f*@qzfaPm`3<M2^b+DSk=l{w8qauDmK_Y5q0U
zMJgzTbvC??E)8!Tb7tQNkihp+$p;q$Rg_2BUlCa*3%MqmXFrN+!2bXM0RR6Cmv=ms
zZybh^jAQSeeK-!z!Li5tb&yfoMs^eu4Iv4MP!w6eGLlG%%!G{IH=@Xj3LzsTBYS52
z{CofR+@I(3z3z)-bL@hRw>)H@y^rVRlfY=`9zPEyDPge#+$Y<o2ml=6TTK@wv64Bq
zinWs@3<>Q1mR3y!WS7`G(l3QQ`t#h!zLt#9ygMdmGo}QAG4~(Oo|eIaY=`boe^kLn
zLneDVHOVk^wI`cAE{mO=7T*82K^5D1d{B|AR0WKt8>ajM<uJ*W*r{*1YFKLLW-;Db
z4P*y>C3;y280~{slh@BsumJOWPV1l!-9?A)m82?Q@d&HKgFh6kjn|^k`h+G>9<qK)
z=2gVhbav24vO0D-&ClmhtTxnkCpRWvQNrZjo*yeEsAHAv3G>f~bb-It_Hap#GREHf
z;#hwR1@lz=F0f@_09W}21RgvlVO<0M^aE@ZtN=JtGAsZ{j5&V#1TxlC>gs)9Q5BOx
zXNmvL8G`1%)RR^AWK1@Z!TV8&3U;ZsWlG(h3YRVA-KAa0*sE02+oRV>nBV;m^pju&
zDPQOW4(pIHA@*b&vq&O#Jezu@Z`KHgc*oD%e<EQs&P<(-7IK*C?TC>X4`Uek&vlaK
zgEDr+TXal&Lkh!eS47eZjX|i4{{iP^C9Gbwd*Ss>F)Z7`cW?kRhK%F`2Tu1AG3OlH
zuSa6}uxD-29M7H`L!|;oL=R2@yJv8UZS*NCMx3Q?Or0}^%*p3tk^J%)r+_4T%a2{O
zg-Lw%HG?s{_EG<8fWu>HvDwmaX$*DaujUa<FoKmC7yfTc(wJh%lVhRjKM}Q6PSH44
zBlyEOVt;u^64MAfhF@M?L7x56c@uDx3bhIH^k<61u|{F-4-<E2pk`nN`}5Zjj5avB
zMVmyhFugVV;!=7rzo?g2;baJ%N4pn$xCF6&<ucFDMT|gVacheF0??&6?H`@Wi#=7f
z3(l`(hCeImxj1ux=%84=uV=V0O=+B+<1P-WFI$}TzlVSYBg33kA1lT^Q&q<Qngs?+
z^A~B741jjns5tp5Bi1RQnU%A_0zoT{dF{FS@Wjr!CpL}_t4jJ^7PZ6zzm!W=f<Nd%
z+P<H?qo!ME+kZ%bZw(9JSDuqy|LQ`X)yTL1Y?e`J?Wx&icNX~hoIrXjr3(bM3VwCJ
zDRgsWYm3Cl0_m6kd6l{7fTasvcJAeV)Ck4BNPLL{Exf?R=oi{B9N#;o{j?0VaqB*H
z%N7TM4-V~yuWA8*&>#7vkPhS~>+_Tu5ggpi&$_waQVWXD%heob8bLZ-{={@|Faw_*
zW*L>g_x}|YQ?@MrAQJTh?PaUXVC*jKki@PDfzN7%ex0311VyW_j_~1t5KnCH2-E<l
z7^l1|T}udU^|Hjz(>U0S{6buuR0j{7=b-HNDq@zLbuR7$4r<2x?$kS}L&Xw$d3bRH
zDes}z@wH)rz8K$L!5<W0vR*3j#kLRyN3&~fJgji7^~(KzI|^K(*lLtq*+ulslR7_b
zvcgre)x(`(HOREE)~#ov1^@2h^jJ1_a6h3`AMULNDlR*R_FK^b;R8P8s3iw@+@J~a
z-&TdQo^+xov-iRIp<?$+M^1<{J2y9<qzZb;9-Qne^kB;&My^!k0u~TR6D6xcRuw;s
z)o}(WDPD`Y#mf!KrbhhAT`E95*AdBH!w8&otZ$k5dBCgq`Dw2p75E!#lf0<T3>+@^
zAKR(&g0J^aeK~>(I4Z71CN<)~-YDi;k{2H+aPM<$`$+~>?t6o0eOO_HXZ_eH$`AOe
zaJ?VtWZ)v|AIHe-@Gp<penU+V90Q-Bqb_7<J^e!0kC_wdQV3J=O+wHzh<;B|CWD2>
zJ-gd1T+kD+!=f7`0xh<-r_udnh(C>67nI<Joa&tSzDLF2=;HOCDeWY%a}X$hX~qKu
zCoUbEJtz+8EY@}R^GHzNn;!8niWkCy=+bYMNPyq7NAzv!BslY#mMGKD2f+?BJs;X7
z!Lj41BvSzihWbYyx|<5X^aY;Mu5BqWy`vsR?IXcRMscQYs~{8y`5tf4lYxiF4$4jN
zlA%U4I9t_A7_8<JZfM2G!o(Zd|HO`w!Pq3Q)?ZQ-q|(GJmVe>Fsk3rYDT@q*WVZu_
z3u2)1i|O6^L3vPrbeP1(r~=>Z*NX@H#9{TCMW0?V0T|sxU5lesz_LQSKypR`JTLS}
z-xnZ42(Q+$SqW8Os?XZuS&@X&>({2et}6o9o#WDOJ*x1ir9FLMzclQ2)N8M`DnX{R
z#z&I^H89}Lo}UwufwtR-(gG6+Ok)Ucq{kFUOz3Q8r^rIFM~<^67a6GPB>`iv)ZzNS
z0x?|+JXq(Z)kQ>;p<gaml&?<%hWz%cSDcoEPls<bRSuJZ?Zb?Ngt!(|yQSk;9p%Bl
z@Eg+_zY0Vh8KfT#(uU_PH8)5{2=Lz9<-Z&m6;Qv%m6|f41ETTzTQBhnFdt!lhjqUS
z#0Sj%=(E#<Kuf>Ep&<o0<ruZRR8EGaqYBJJ?fM{?7qoruDiN5Mbic5wkzw(WV`rll
z0zyB_|MTc4f|~!3!dn^=EU$=u<2MB$2ajyB@+iWw;f;)5Py(47_t^bL0puKwgMacX
zLNmx1Tva8)#iHoIpXUwX^wW6Y87G2kkiKcdxIDNeB)TN_8A4jDiAsG45lDYLk_9i~
z;rg%U*}uwE=&}tqogGyGnJWuA*2B_(YtvQF_M}2@+r-#eK?Tt9^N2WdToPUs&wMP2
zqC)s5y2dDJ0vzT=&RxwD1D@KX)2CyoptZSAegr2EqVI+utu6|}0ln&get#-dO|$bh
zeZxZy{l0gv(s=>VNeopyOoh2z)U`iW7Jeq#Xi&;IfltlG^#vytlx}YQEu+Z5xBQIN
z>3cYkO1ev_Z!!dvJSmf_JyP)7m3nS7pC0n%$Be#QF@!t(Pt#I@BmvKp(EKH67m@q?
zEUur|5X|n>IaEtafN)g(B*|wDK~+P)hLr&%Qd&A>i^ah2uVUdDh6RKIuUY2~1BB2W
zajsSqfq=4tsl%$1Nc6+Tb00q=pp*GE=En~~2&p-5Xfi#FbSU2v^4c~4{z6phRvtf;
z%kwhcE$u<9FPDEq$p(8fDs)!q2`>bZ>@IvW{DLGcL{XJJ^dV|tDpm~R2J4G4x3!u+
zBN`{a#N|HK17)coz3{#J;2Uq7{GOo&@g<~+)DG)H;*P$RA1w#`Qc`7=Giyb@!d=NG
z8C}RW)wZY8XN7=!x2#6`I*}LMUTc#+I<Raam8spt3?0ijrNYl&k(uws3JSH_AQ>HF
zNuSCHTfbk5vzGQD0nKc`gE+LoPj^^px@13i^F3*ZI5vdDS4@~=9$J9yAG>SLOb=IZ
zKN|YqjUuL_0fv1aG~pvpUs=FoI)K|Q8edo@kk-q|G1+)cFbE)>nDC?pcRzu`YY~5t
zv&-KtHtuP_ucO;Pz=H-JaX%2%KQN29uzo76T~mjB(pu=0{4UacDmP>I!aQR2H|blu
zyE^FP#4p75Z6kf{L$kFui-?vg;=s4Z9ke+h{Yl>z^1UK=V*JE1V(|M!;`QScc+kUV
zD=xi-#C>oxVRBwY#OCzVCtKA(;Q?v$W63{+pFSlqDs&w&YQlw{Jgf%&Z0zwuq5qJ%
z>eph|$~Tc10S2Ao4pk^2%VnI3{)d>vyuKMjzm3p#aZD{+t3qP#>q!6Rf5_%z?(B8n
zU4+I-Xh(8X1;UGm2bHN?$g*x@zBU~#C|`7YpmjwBQVP$h{hHg$6`DS=JJUh>4eow~
zUIn-wXLV(M*+vdFW*9bf?Ss+S^IgV!9EoZ+Y2*66gS<*iYd`6-A66#RC+#%I@KU%C
zOay75XQlPhB90LTszv{4@7?q6Lj%r%Jv5+@=4#6Loe5?yzUOjWR0i|w<88yGv|zY>
zx<O@+W85+Ef3H)Ofw^9JCNhr>hX0gjn-8#pRgqUVU4|0qx#W3N)b0bLPq$7wi*vw`
z3WLq<T}5EW3$!uJ)5A($Q?z3<Cloin9xU)tgi9Icd5#$~0Ok_5<1NMwOlI}F7Qcz$
zVYEC_xX0PUtyeWDaXfIdh%eX4hX@m4p(eq$%pjBgn^p7xAH+zy{o<n~LNGdc>691?
z<b~MXdep%WMk!MJe&i^?me~+36B`?JnFb|`<q86KlzE7ajRM$A-qKA|;D9<#!@C?$
zg@K!qFcvMQ085I`q|<9TL8$(pL1CjP=!o5ouU#jADm9~%bB7E5v$PUj;uQx!fvVb<
z(*!WOxLbP4o(FJ}8Lm2?Bw!?-ns#M_0Gy8=N6>%g1*hfnohhPHU^k5SD3VnGVQoI2
zXP5Zl({*~bjA&`dYFTj!@>75|=P=p31VPY=Yies|l7(}1XN#^*DZuC<wuKscVfegg
z+~1pt2aA&8_iyhJVTuFi)k7-^*+;L;M4QS(_jbyUVHZVEK2{?;AaMXv-`{tz+a<s?
z_n#g;-b%m=9*0B8643i%w)*&cA}IU}P^hX<hCyi?39^eMuu={k&y7-o6v^WyhEim>
zUhzF)?y(fSEWYqO^dJeWGGej@*i_)MsIZ*FZ)sSa$@)GTM1~WY_aA!han{Ayno~ww
z76z<tRz@1BK+<{Je<t>7F!@N5=2sjZjH%mGCsy|IfTwne?<nx9$%h&DOAZom8rR>6
zR)u`FEPRET27G$)+_FcR06sp;Z@<s00*$h)@Y0GVe0y4?ea=e(QZy}|{FPIK4rhr`
zdQ2NeH%T+Sdwo1;^EhfIqXxd!MfB5;bs?1dZRneOim*9%naVn(3YLUPmz4;8c=(~9
z+sZ`=BED^3VL7D=H-nW963!yP5af&8*---g4zGS@xC$H<tEY{82ymSBPzmC!3@n<R
ziFy~wFx){C;^bur`>#&M9Sl~6B%2G3=K9KT@m=(Ob!jRT4PAWq<G3=Y$klt#84w}%
z=xbtE4HX_eTxAv>QiAlB*VTzTazN_$v~MRF!ISiu4I+MTe>~0{NzRagC=vA=i@`=f
z5fm+yP*eniYrbD^X-k4gE)sDp#|SKHXPxe@D}bMQAjN7z1bp&?s=0EFpy%gf=Kf>?
z?Cx8-Q1gKgq<&Q3nWKy#woKpbHH$p3TfVx-qQ(ie6)8^Ahm4@bSjk?<6A!_Xh{fsy
z27od*v}1z`-$uFLd?}X!$(TIBYW*!FIzuEo=phvXjf*aI|C55$=OM)Nx--ZGx$A-)
zfeMZ;;nNc)l5p$*RXb$m1M;=R5+l7f1Qknhn|_Ko2xDvR+hctwt~%32R@)G=*d8`y
z?1(^J$FVYx(JA!d-;k7!I)KUkuML|Eg3vV6RQW1p5xtjo#9r43z;7*SR)vorv}LXw
zs#RS@g`Vg0zDhyh-5ttpX>T4#5k)zK9;~Aa!UsA93Jk#Y!RyPV>ztq|hnK7WyMdm1
zVn}KIs1L(V-#=;wutDjYNXH-1o9KMHc8<l29<ck4xs{(~hBx*jIG1~ys5{~Be6gS&
z7&1|WzE|yss>u(m0kWH@nLhDo&tY8{YNYX__|O4`M_y{5{|2hSl^x-CM+cY#=Qw9q
zcaTMqBnbI$9X()ORfhkp4L4$QnB3oPAfFLG(GO47Py-EVjYwW?Xir7`uk)-R-?>@R
z*PpJUBT2jCa%Z)`B5`-BW_2F98*<hEVEzg^$`Qo+>a8XyCYaCg<WC`~#X8|>^~-2Y
zRUTa>uO@7wpPL^Tjv<-<SZ^3DE}?~+&U$Np8X%_?R|1ql1bM?q3^7<jlX9J`Wqzmw
zE^GgNIn8dwb4{4=JAV<icfRys$4DK%IruP))_p+M9l0kawHML*M@_dZ%P7#xU1ZD2
z{R}B^@D$rWyMP+WOD2rSP@rB9*UQRNhK?&E9}hGxpaBF9YFxS+Sg76ZG%0OF)mF?O
zmDVqy>y^&(%KT~&_h^g0=20hFm$<RMJHCK=i!HT0Nmhk!8jsRjBi~TzyF4mdq($^Y
z%wl9CzbfF2+8kS2f1pCVkyeSBi>RKzFi&KL3PfJyy2I`}gmzZ&*?3Zx(BsFrR6fe?
zc^NKc%zkMEWih+vX1=h5GS$R;Tq`4kb{<kk5g$XhImNP=zb~T<sk{>rR5HkFaJoG+
znLwAR)#4q$R?ssCLsqNzI5@V=PnNtiiI!dP>=YGUL%sDFP3L-*LEDb<?s?7>s$(Zk
zI}o;x#uSA+Ca@|)RX5Yrx2YLaXPA-p9PcI?IKRD-bWjOqo+i2Q9G*kR?Y|gC_x(ft
z`V3yoM=8RrZ2h?tzvt1*T8l>#y0_8WM}pJx+K6zbbJB4_ZxQY0`|G8+j|OWVUTAL=
zCPEmiVXbfe5<1#C;w!03i#;{uba%L@0FuV3-gRm#XnI_uE<TwK)7uKOx%Y_xD+Ram
zN(WX^sWXb{%v|(XTF0Nz2m%3a@Z6F1ez}ec9{a93SH2(H|I|q^EI}T8j)YAd%-lrP
z3v@eAMlfRXl}%_j&EC$I`PDmyZlOsz3Aebyn6Zg;NtWN&<Uq3R+LRv8E}HGq!R}Vf
zg1v5!=+|Gv!%rNSb5}bJR+ou)o8V)|zNnVo4!((p@s>|VeN^eN?Tb%yjyP~)Zt8?N
zA1*vZy}hj&UAYfCxKZEi-_C{Uy!_UWE0TqVRP6}AGyAb~%k%waXL+!Eo~ORy*0NBT
z<No@S8Y8AU=EM3$f)7*D9Wyp&m4yoz+Z}9FnX&yJiMg7L0@&fZ3X?2fWMC}v>#XV-
z7OYwP+>t6_A?(E*M*aI-2AVrAIOKg`!%kU-|GeiUf)Sn@#d$uEfe{apBk5#LjBz$G
zuk)K27AiJAcX=<LS-V2P9&=#>bp@`k3?(pLT-KpG`7*%z`r$zlMINmC(;s=XToQZB
zLz~$;Dg#K^VdbqsUaU<`Fmc*g8uP|Ie1<cS1-GfG)}%N5*t3buc<)6S%mbf1+WKA=
z4mkWU{$4JK9dxLbEUU$1U#@p>p7X=+dFLh5lY_!op8soJ!EAYK!t_Dyw1XV9RG7S{
zBa2~a>6hZ}KT*Jzry3A)ggmh52FTDCiet`5FRyZmB32#0;+-%@fSW=Mu`dXcm}j}I
zb4RN(rul(A<V`*iBJ<x=Dm;+F7$OtO8~w?cp!Jzx{yHTH9PuHvGRk1bBJSbxZ>nIk
zDU2G50%V|{qf`sum&HamGg7;5sA3-j4?B_fIB7RG-mW7ehrMdrVbOL`!+ciEQu!s-
z;9gsJ+M5D-4D)+fs4Yps9F!zQb(Sb#Tx?Qgr=fsFbZn~clu|IS6T1O?D;hAO5c(cU
ziJ0nXGiUw%>R9(Jfxtv@ZScu^hAnX_VU?E*iPr4uSmMb7?fV|Oz<W3D)_|EZcCd0(
zq^6#NC3uJHysgs*erx-j$wMTp-Rj)4Xb}pQrI*Ja%LveV{np`11~PVcADz<<zZxc>
z6<@<7Z3tXXvirmg$(UBwHJ9|aDwsiaVuBo=3Qm%Kuf824V?7Low>{X&ScQ0z?^OmP
z_=)z*9Z@4=?aJRdiViDcTzx{rb~Q$j!$&(V&`H7uc{yv&E6HO@u`hn$5o2hj`Q>wW
zL>cqqSn;f!mBt(oC%fH?H-;~&0~Xh_m9SD=Z`<1dajeB?Xya|6G0-Uu2K0z2VlNsz
zm>@&|v)%7FG4|LPQlr^dR$UaZjC(<W`;<8`=ach;f$qkTX=J|P9wd)7HL@Dyy6?mE
zq#hNBaTtT8>L-iufq3kp(v9Kh*m<<gN!_mLi4iD|51*9wlEFAt^S$GLqlk<s?&6%d
z5wvHqyT7uN!l<*%&igj!k&>zxEC>Fh0vhKzH+D(_%k;mO^s!<KvHmE$^MsKK__0R4
z6ZN84bhg)blQudq|0v%S7H9|?N_@MKEJB#-@-5c|W(H`KzxywH8esKgtb|M)AEp(z
zX|89+1RbZt-pslJ=zPt+6L*vwqcCr$I@K^k+4FT?IurqsjQr@lXY7~`lf)P?0S9K~
zIul<S48Z*2x1}H@W^DW;&f?Sp4w4=mI-m4aALw3paX;3e$Ht78`fRrMJSFAo8^#4a
zc;nR?v*5Rj<_H!nPIThnVw3BUCwqKfJ?)ug;I@X26v-C_hvT4?!2kKFg)ZPYD$n-e
z=TR|Jt1?a*9L(AU{xgfxft1*0ZGzn|R3NswxTS#^D&M?u>uS*k8s`wa8D9q~mQ^fM
z;LQv}1q+#X1++nHds>aZrX0~dmZ>c*#|)%9k)PWxXhD3vLH&`29^}U(*BhxDOn^%r
zE8zLK=f4g@Kg;#U5Mq5=SpOswSiCBz9+%eyngz|ciMDA(TaCXVWSt4-uT}8<dY}O_
zU-!n+=>_C$!k=&=kr`OKng;52)FJc_F~8;ZGLmMIQ8pRQ4BbCaFKu6S&@I*dar@dD
zGJc8nrztHC)B*-x%1=|k#_|Qn34={!I^<P%$_pG+t4HN|pQnIDlD(?H_!d%XbTDTt
zfCa{8i^7*?)Sx2r97jjME&}#7=1(rO!g8W(UZuYpWYwH{+qpvnvK}tP;uJP$-hLl}
z?o$JTCtF8|AsyV=F*XVQ%?_6)bwk7+szPoyP4w63eNbU4d=A^&rAjC7*w2$x;le<2
z@5(oNa36KIE@$BaEA{p*w{{g!Ie_<VCNV%@@JLzA7T2CveRVJMRe`KNe@muRMqrb-
zV?N5r19s=D6lKL!AYI~!z(GD{$aG_vmQ~^fx`U(g0_|it^VvmyWAB~$UnY6YFY&=U
z*3!GHkz`n2zu6piiWN>DX*fc==Z~wUUzAKu$WRf^?MFDk4yR|kG9FtBf{L-9MJ_8D
zQVg?f1?V|pPJ9MDW`w}b#`Nifw<LHKbe(4q#|0P86^$pn5`n>mr5zR@5}bWH`fN^y
z8;Uj76y@T@;MG<&OMyBG<X0X>H=pEz`dHiAnPhRe|M3@FE*}YK0<K={c*F~Z3mfB-
zLlV$Y_9^rx2MIK4aZ?9Z_<+;?Sz6eBDcG(%G{A)?0iT`QJ994qXjyxA_kg}M@Qgap
zL_3h+>cbY-H|v5>hs(-ljg$ed;PgDZ3KAT#bCKiU^Ii{G)1zp=EO?1_SLcb40e$Lm
z|Gt|jL{8kTnlz9DM2I1){0bTP2QS=xjT``L<L#281@e$9VxQ?eL<W=87pJv_CEzm6
z4kcGq0X!T96UyCH;FPB7;+(i7)Md+8*xx5Y6YST0!mJA8F~{|zNm5V|%u64+stDtu
zvL8P-s{-u}>9-39r9oXd??&BGWw0GN?t3;*4WeyaT>af-K)Y;WM=_oR*81T9Qb4W0
zg|yEp@IdS4YU(XnxN_z}SNAD0800Z$QtQ=$PP}JT>@gmun)m4hH<LlJ;463LKMgoT
zV%1$Ok%N#vr67{H3VcppEIV*i3nZI@lpHGM!LW)Vk$qGJxF>!skgBxd<(;45e_s+H
zJxJY}+e!r*qibR!$hzQ2<q`XRO970ZcN=ypsDS0X+Pp}K9_-FPe&()4gr}wrQ>|@e
zxE5xjAEjgfY2#z2-AzR3B`|#z)!*y!rQJUBOax}Nf1Wg!Q-pb2+v(zEWhe<!yjp()
zz!FD(J%36O>_$ptB6yTQBaE)mLBJ3aBP-FQ!;0|r{DRH#F$EaElu>->u^~hsK=C!K
zim+hx`NC$PJiN;#!7wuw>da(sE~XISw!YU5vk6&nxE^FxXh($|#aDM4rxYM9M5xl3
zDh(>vn%@@2Q9;g$%=(B!0eE_X`>$n7K()8Vaq4p_oIhOk)D}koqBV7^kRl34Dr)<2
zIaJscYHSc3l>_m+v$GO@0<e4?PGv_^!K^AT@L?t%IGRty7Kre`6TOb^LpD?hYRM63
zHI)U&qv|vd1K5GV26yo>9~GRRC}jnYOGDL#3xhlrj9^0XRHif;Lg#Awf4@Ve;Hr}p
zGv7Kb+_E@+F3@|ghtLDAk;0O2yC_|w)ngMm9ug++&teE7miOfwZiqvRLda}c=^}z#
z3$?1x1=u<Arhunk6ePH(%|ng<AQP5n*+TUJf)2)0#O#FO;&4L#Fy}Dxxo%Z5Cl7(C
zigGon9RY|;xD?L!u?tDOBwn)l-2m1IAMMIp_@Joiw^^lU0|NSIUVdRTfK%t~y=LC?
z05O+;#_UrGlD~Sz)m={?wC=R7<c@JcGWABy`4_1O5=0G*^49}YFg~?fl@p>;Y4XEr
zQ;?t=Y>WA?bwS4~j&#+U4c0ZQ<KmlMAPu#GA34@^V5qW?nUabFgZ9hSM9C@yy%O=N
z3DJS$SAJ=<5tyJ?CuVTL{R0wp3A@{PUmJ|wC082vF+htINBe+hJK{q7fwVBJ1;@LL
z>8+&b0spu1hUnL?Na<8BovgMNI6bdPN(`d|v!?gCu9H6y1^*yJt^YLP0<HIpCqlHq
zWW7Ep{Bjr}w4J(1yRHF)KMxh$`Lc^d+jD<i-TsBl;oo%GI%&ZF00030{|uLhKh=E{
z$FIHj-h17Pd);fV-?5UCRf>j?2&FQT1{zc{3yCKpm1s!H_WMTJ36-s66p8FT9{<5P
z=W{-<*ZYmRi(KLSvVrOC-uOJ|{~L=c!^FfIbsz>mrF)jVj`hBA?J@lK2fLmdmMyEV
z15XkJ`?-FsVg|~C4<v6)Vc{?s=vbf)8&B;HEcLEnu_Hw@C&g#5v-PHKN%Gp@^<ILF
zMQR1Bj@O`l-k8NEm2S*6KA^#c^!!`>S<Bd}hw)AB>3M8#B<1XwBn_HgiM95*En~{N
zG&EJ`7qK^H7t05-sBr9R%@@`E%b3Q`pr5&1E7<6hfFqg8RCsuPv?TlLGPXuq6TAUy
znB&dhm-4T*U{dGVeAmxq%+<c9#58FGv%HFLcw<^nIbN`jEpP=hv-JMvKu>@-YG23w
z+bJ+1;K(UPUB%K?hB@c$>EKPUM~AKt1^&D8dDktuHH@^%v*lb&5Ap4T0UZPi%--3$
z7y|2<dpLVs2$d0JziNwT8Iz%2k?a<iuz~SIs%O+ECb+y)a^-e}CM<mTy~fMCg=Jsa
zb!O@&3$WjP=33CC0g^UfYkzqVfLJG*?R0_-nEWF-9i%nDt%vnm+<rPZe45oa;WP*A
z$&P0qzMu|YlaD!^@}Y;Z(`PF194?4dmACpmNP>Nr1&a++8Nf1U=Cm{eFFd(ys<i1q
zf+9on`;#M#FjW#*ZD-F1^b1@af18PLDB?;Aa%P5?N;~OYOZg$^t=54YCnDr?eZ<KV
zEKp!pR8b9r@GoSc#`KpO%)h-@y7-h0PVw8P2u=vWGd*@kiJNNR#Y*+%O5gzF#iw)2
zWg?(;e(~iO12te_VjRqQ#03Fm7nPX{#UL+k(A8l>6;v)cT@f1RfkXLmv(=v^Kv{Ej
zv;C_o*qgUD2Wjy^T&Lwokc2d($gbsX)TlywTX*z<7=HNF;o6X}OBO6z__fBHRAH;L
z=+qWL5XM@cv`b{kLAL+<c$H~Y;Q4e{OYxo%G<1nlN;wqZ)RidLFS=^LN{c_}Y9|5?
zjsL{-6BS`;G4NpOBQ?m-$bL7gA_lG;n@Oc4WpEkR3@I=o0xM_k(IG_%2pk`9_UTsv
zg?$p$U5q4%HmV@STS>t%oj3zzsevP(dcb}rbr5tPPRY0>16Ss=E6`~Ye3_seD6-Ii
zvQIqS-Al5NJFzeMzO@E4o|lV{uG0k1o0Ff@4CTSUTApx3nhdvJ_0{q0qQH2dOZ!}m
z0u(KKKY9>Mf$}{E?AKhh;D7{^XaA@o1nN5s`0vqz{>*a?ba$xm;p~tS(OMZ&N*nJ#
z=A%NyUWumJ1sX(E_P+{yrUGBs-4b<5sj&aE5#8c79e8{4bC5W*8W`?&eWI&JgYWc(
zZ`lm=Aaig0J^^PUxZH^8ynLMoJ1&uOV|ff<n$zIJjyMwF!atmkrqV!EG{<{l(-8D_
zJW{XDRfh=njKwEjG?-tovyNXg26g`Nr?N>JU_mj?dOl8ty!LYe3QMNIu}A;4(@ssu
zr2M;mM1cxjmp;xFoB?o`RGOo`*94Q%>y9jfT9BvQd?sR_8PuKH>FP7D3FHVn7LO=0
zIPK#h)=8U#V0OSm_5n=@arGt?g{Z>@*YVE%4dy^4--v}UO=weLf2bv*1|xje*86u`
zfOGUnNXT~2V*Qvi17npS%Ri>c^@#;|f4tr3@J$`+J_T{HugHOKl#rftmjyhyP}s3A
zn*_r*qYebDOTwb?i=U-~7I0&M^FL#KBK#yDE82NR7+7{$-}I=nfTI?BXSE)y!mX0s
zCRXQpVeP7))zvr)2zEZJy)vf^l{ssV){ZhmdGm4gRU-@NZ|5q|peR9#pHolromK1?
ztxc({%N(r!^N-8+Qh;uwti;69Usz_Csfo3>If(j;UYtmmgFM5$t(n7xxV}TG+PS}G
zFuk6vZ1qkCVs_oK`J6q9JLdI(QGglz_-4#`^ME8oG=BQ@)NvM%xYW#;KLuc5B|IOf
zAO<h;&o^rKE#WeS)-p`n_gC~+Qk;|(24e4Obu?PTQILpa>2D0i+VX{M_6fjHs?FRl
z`%PS)^3>(fqA6U8QDJ(9^Fmm6btl%gh3mPTJub*)3Yk^QC!6ayp~d5$$~Z<q!(1;3
z$J9;0MIwF2;3ZZ_lTL4(vmv10llMbi_8EgM{X_1(4;W#~_t2xek_5!xt<QsBHv${0
zkg%ijbYO3!%xssug$HvyJf&A<2ohxxb|LKRnDp(Q7Xr1L_=>p6%{?0iP~YR^wRC9_
zyS;R#Uv^*vH|ObXiMBKVRJiFp5Icii{SfQ4HNTEOY5h;h|BgPShKhtcIsd_iU!}yZ
zh_2(mPETMlzx2S=PU!8P_#rHWp|pK??;5`OozXBH^gt_j=SgJOg>m`M7Pq`u#UoBf
zr2Wm(h2Bo{g?|1z?6_RWt`zlEobSnAVl<;J5YEkwcpi7brqpTafnQhfMjb9E<^Ua7
zv9EMr^sU7|x4pi2FmDCtXESA@_G^Q6rc8S7?GF5MSDckw{t8}m3oGfg(}wkQ%G{si
zUOd!It$Lwv1uwoY;?Ve!234lB7Y?iq;wAbe{~4RE;&Er3%}0R-ui7S}TYN`w^8N5~
z#g0{+cqXus15v?y{1aW_<KMW!rqe)X+8Vwh6}(Tuf(oAfZXvg;{@`g<?#&f<*6|lF
z^rS?Zw4k9)Bpk1v#9t3(%htc&z~8*ln&{l81xK$tmUJGR#<M?2svS|;!YTO+Tl<G8
zP%?4MeY$f7=e4|jqS}*yiu~o(6GJG_#E*4LxX$4NAw4^G+tZ=a!-AZV925{ZD7!1_
z*E~*QIe4MvAU#UZ%;<62MTP=K?=IEri#X|yS;Iy&1M+W)eybLx3GPeN&qj2YaaPS@
z;>b5fv_dhi$f?(WtWS>0F$}AC$OF68b{l3y=hfBphff0@S5@jyO|9YgW_c6+Mp;lr
zRPuMsYrE%*KT4K2Ht@p2Yfg^~*w9ZotYfa41XX$Rem&v@^!C$fmbNSowC|x%#c6pG
z=-RhK{vJBCDEV3`@go;{d-=any#ykJu$?}vnof^uN&ZLA^75i}srsa8CL+8z?V(9w
zU_@4CG+nMkd`Q8?;^wg%YVf{1yX50-Cd8tqV>J1JA7x9(J&qPsgWrL|yrOz6sMMv6
z|AvDg`gyKC=-NwF(A;lu;~Fa)QqA%>bBZ90xJ5-4@cpXbVQ>03iGc$Jr?@?}>JmY%
zeHz(g+^WF3ukH9Ui3=^QG-sA}iJ_5a#(8VqDsbey6aSqk9yC&Jh96;+L_<R~H|G)+
z5G_#EC$aOPJ61R4GmlE6a_9JaRnJwxvpGabDS#h2Cq%B+g~+1M?O(5lRI0$dEo)2h
zv;Yc|bLi;*Du>!%j#yj$QGscp9Lk5gLP#t?L?UpH0_yqGz;@G66;yRz7z?_JARnD@
z!oeSkh@*6(OuI-GzR}n!WX;789!h)s_?9x_)~{|G+^+_AZ<R`{+e@Hc*};h8yHruy
zly5+pCJ{y?o)^enlS1d(m`jdI6Hyo;h%Nv~;JsB(GU<~+lHL{ll>~KUseSJl^Idgd
z*y)rLM3O_<ew%M!{?S08h+y?VLlcY-vb`<{lSiz5Q@o;I$cVD_?*7H?KQyS~N@wm=
zK)H1mcVxRLi0RMS<WQm(l<v2;HZoB{Dby<kU*BmVAGQ>s-ViDbxny;<<SV1W?*#$O
zkyP~XpLoK_sqNk!ubKNTs)`)tA71EJrJ>^M*h|^FI*?la%iSST4Rt&d;eY&uh6;3}
zgs-^k!ATa6uoK-xbb~QzEO?5BsE?kuQydI{J*qP2u!uUUwo^FBx=2IucCTtvT#P_G
zvrh9ORRf9M4&TvVOhXZZQindDGy#F+ty`7Sn&>%5b$Te#kl{s(=c1P}m^i0C6WXqc
zmMw=Fq<2t}nU<vI*9w5cm1#4&W@OYi=5--VTnkN@v{9HJn}NwC=Z*w#GV-Y9HRRe)
zMz`pb@A#cH2Zy7z9lwpq=oz}bPm^68ksdtQ^-|0NEWcLpZ`5ca&yR-|O@dU>&WYy^
zxoH-#wN&v=dQAhBgf_;DmMEg$b_M^M2@62JLiboE)X~n%gL&`QWKksMYybk5Abzre
z;E_Q>O_y8*Q|rZ%+DLtVC!ZxKaDHl~7a<}AnhlSrh#<Pwx12!xYXRz-@3?sVR8jcw
z{x$(=PNcaNMYPDX0LeMUBYfG)XtnF<q1gmF^xkv4DcIHm268{}t2HR1*jwC1G8!}Z
z6!lt#=nr!ca_hPh^hX|@f5$32RaS#*A9dS1e%u^lAIAw~@X4Xu#PZk;<zeh@O_2D9
zQ8Sn`YKkzqEsf;5G4`eYS?oB?h&A5R4D_2q%A&<2kfg*do%X&J>~($LdHo*%{8M8Y
zySDq;)UbyZ{bv)izAD7ucLcy~Zhsu!B#3_X@N-5|=pZID(W(%~Ak)iEIdX{)akA5K
zS?r{T>msed(qam{-%0pF6*uy1WD$BlNDnNc`tAuoO(4D1^%A0EM-g^E>>b4z!1-!9
z-%WxE*nS{h<tt%AJRByeL7WWmZJ@`$Rn-_&j%7DK=%z#a?uk3gw9$jlkNh_b2aUk@
zv#t1Pd>yYVx)5V<jvgfLP@SILHH7iY)a?7W7ICS&Of%wK^q_jcQcnAu0SwJo4Bp?G
z#t*xiz7lyz2epI!bYjv5Ae!!#{X=dHXFZ-exTQx2#8Vp=zn;>EcVCs3I*PyJB8vA;
zCif9w{Ay?aRIMIdFQ9U!DYW7b$_;l<B@jT|E^2v0Mh^<Ttag9sPQrnYX{pPF0BYsk
z{*SNdLe`|zx=(E##?rZ`Ld<{w3Usy`DPua2qbKUZnbV0q?N(tarxM`U^^)7M`*grp
z@ZHi6zd_8h^s@}jngC_xJH9%6)P~6jzVU}bqgedRTuN3b0X&!-Op6V*;n3cLEd}1=
z7}JVE$M+8e@S=QdNGztoUslz*yt9*7oJ{Ua5t$Ac>Or-EN`n~VBzouEY0PU^5NA&*
z9hm!ON?N?7g8274ht<MoF?wEuK1mOHu;Q>G%otI@L))81Z#R#1l(XMCp~e8Dgq6hl
zIxTq9`8a?{Vi6Pm=aJja&j_a^Yo}|RwIKEko;NbFggIzOu{@Gy0)f-#zK@Pk!2XG+
z`CQ!!_N{%$@3<ZFHn-|48AeiIVDj~QqoOq|Pg>;t=pz<z9XMv$E<u5VQ@DBZn+@!1
z!ps3fIW{<(dLlO_lnkMww?DmZ+rn!72-$TF>~MJQrC~7A1i!P-bRV$LfrJ<ROOpqj
zpm}&)sfu3{R(QDP{0!-VO!;f^D4QE{Nb!UH0U98yS8+P?8Uwgw*<?RH$qS~3_9mX#
z=IMF06cvSEjPQ>Va$({TA1pWyHH%oQLuvl($rZ0{-*lJhytm8`r)^p^n?8`>YYN?v
zAp<M4aIyZbJ}C$p0?%9H>`5Rf%N`{4feqN`SJLC?g(1mDDf`J75$umF1<mJkK&Ily
zN~}@@1gy{Wr6v)9|6=hmas?M;)LfI||4$6+ex+Nh+7f|zjl0NsnFo?L^&gRQCE)en
zouTK%iJ;f~=+G9G4_JzA2JUrAK@xHQe=D16;Cdz9f9M)N>~ZkH!^LHxb>mca(z+T@
z-gWJ`KfTSv=e^JFahHQvKjM26g^4g=`*!-v1tEC9plY*GDGvh1vb#Py5Fxe8&O|~{
z1YVBU54cbiL8{ScBm5N+l(OTgWs{=Nud&BHs!RzqyS{iO>5+htaiuuDTO91zRrh}0
zuL3WGQJd`)35NKNT~ZsBgg}p!(f}qkz!LfPo$OHu@H`nSB_IP|<W6;3yeEQ?KV8t=
zrUtawt^CX>l!dhW{vHX})#1V4x70;1GPHzVpv(Ow2f_CQ_7zxb!d3S5A2~NE(3kec
z`h}VToZvkb=1rhLxM#LX_;oG#*eEZzaZV9l9_*%0wNv0K@zB26r`z24D6gcwNeP1Q
z+tLh@w17yv+Wmcw2GZ4y)ZMZwKs~YRFN^LrcN*RGD)iBT<SVzUT+gb)>s@EKol2;n
zC?oK6lAs55H!@SJ->Jb5k!P)C95jevlh0}{*N4e*$90wMoR5!x<f0L2FmsJDZXnJO
z;`}q_0@g`Tu##`n!%l;gi!iZ#+8BIC=cL!h)gfU`s()yEzO}>39Nzm(;qpg;#@$af
z;33OXn>(9YK$Y`-qbCdy-BV?rNz#P=1=~GqJX+uu&61)v5Af%8;du6GO?d8$arf7d
z;W~-`fqA7FG*a7h6aqA1zE@<WZdo1PSXD>F`j`XHvx?MvikfhKTK;NjpBnJE#D~RB
zn}eF|p+kOmHK5DF`9@@nGVHh#w_dl`0w%_Fi`c8x;pNVW@7+oY@Z)!UD}AB`jIaHp
zf0j=I&BE7tCFwFiV07<-Z9ffW$w`0bK?HX(MYAFUF~Czyg9GkcfS=#TP5nt#I4fm+
zsBhcPd?Vt>zfM^I!N{<M-9-gljE|}433Gzj^$^isRSP)Mt++1#LJ24b|A~zC(Sw=E
z!JwMY<}miDM{aRZ0nRw^KJw*Q#IDYleH+={%aBrgVZ&4&h-Qy343LJf$HZ{k%>^@{
zdg(X##L2?Vq8sdTzHjk~5lJ$CxEUns9+Vkwmx2V+FR%IeA$+|zxYdQh3|wAZO09e$
z4xSm!JL9l_c-!BCpH?>k1nJ^q1mB53q%S5eCoqq5@CYwG;07@Hqna)@EeK1!GRkAp
zOZc}l(GQi$7_3)x6YAag!KlBOd4**K2luUo25VE$ncFdL#=r|_Ytl1DI9BmbNego`
zJ|+;cKl+tlIS16{VPRDFRea7}jB!4}7}nuhuU#h#h}e_a+^DPg{O?KWPq-08ch#%J
zI5UFMQk##>wwJwPbEvmkGK3DU(AQQ}IyhK6^L%!28E?uo>|@b2g!~uuLCwwUSX>O@
zs`bJWUJrwrFE1JZN1EW``;H~7+dx2NYk3j>mKzY#Uat@Lni|L1{pYai#(vF{YYTYD
z4!R6>aea8UG@@6``43|%eDTtRbpgL+m$kWiRu2xF<+9z;7{m5`IX+KPoyRG)HgdL~
zb%CB#@JvE_2pg@qke1*vhmXAZmRG2y3y|+#6cN*dU73sw7%rW~Lk07dN78gafaOKE
zjz}A(=owm1)tbfEgDXzvGwQ&@DP;xc{%VXjc6vIbWd>(tS$xqNtPPN(uEd#k23wPD
zX8mz{20wi#BT0Uo23ubm@$b*e@Xt=~jK$8(;Bo&_9WQ&(K;T8_@zBu*oV6)4@KV?e
z?te^hrhI@3H`3!Ds?N6KkGmtudU-Rr`QOZ>iX&9`?_R^^E5<H-p26Si%=!$j7o9%l
z`BMvWPwg+<tm(r|`LxqL&&}e*RR6E{PH4e;$UDATxj{VT8nN!I@EpDwd6>s?jsoU+
zYFnOrhVV!>yI;lwb9iLi-;KRjD6pgIh+osG5&T=G@uBC<^Z2F12UFkiQ{eiOhrw@d
z|HAVk_1ZUv7VsTZH@w`A40{)+$TqLW@XCd2Ct4Mka1;9!?yzu8_|C;^vvcqd{?4iT
zmBQU+{EU&KSZc8b@c&@bmsXy{r_v?If+(wal^h)_^Nc#Q3is2o-28_hu(>z)Vr$zw
zS>uOlY3gvE@V+CNc?N%P_f6M~aTBNAmAce%i3F<b!v(Hxv$$RQ&vt$}0xBgw%P?sn
zLU=51-*W35-l%$+dDe{%t)0RBB;<)8@;8Q4_wWKP*G%)auck+D{LOXa!_|OmKS^kl
zZ3!n2Hyz+IXGGZ_OA_jSszPh2+GJq=GHx|Gw{>ii39WK`9b~dqg<o%?JeImvanWX<
z7o)W-$US{;bas^r$Z<=C8PaXwCL&j6t~RovR@a#rW<3?qWA43Veq;+@8nxh#r{_er
z>b5e~rOJT!h@pyQ0y<_PiB$!0qx$G){{k(PLGIgudz~Ki2#N~s3nlR)ir~3ROI=FP
zpp)}nXp#YS%)Rx?XX8ijOA8<D2~`4vlM=JN515cccVOzRCj#iePMbro<dwit@6B9&
zC=05*&pur5Cxkk06kFWyQ-oYM5jQ-X4f#&c)u(OyrNH-hUY(B=LE5!=YUmvYDw?8H
zVCTfpg#Fe=++{_$^||yxydpP}b-7ZxS}TE`zyC1l<gW-hwH;Y1-n{6tlUwhwl{CuJ
z`tnNqj3Q*x9Z&V`;X|av!L(x$vZ&Zr=w^F@BFuX2iS!K+Ky80ZMMIY5(A)<DKHpYF
zSfTS}KCdE#^eT^94aO^=WqhS~lA;6!g`KT6%p%D4qvn~9=1QpkZ`8U#l@f@I2={1n
zi=leWkSC`ERFL9A^;y?2W$-?^`<*Q&f$r^2w%puQMTa)`RWh7X0r|DL*T2%GkhyQI
zj1)ZyO&_^-kMp4_q||h!UE-BRo<18pqD3?i+tYx;g>9Zmd&(gycR~&kjKr+(>5&nE
zR1*{Siv;4&53SF3$Rj#8b<*Dg3OapU?glr9CXji4mPOhrqT#1!8ExKbA-jU?N1{6^
zAQv~(D&D1pnnsfuEM8GjkCv=UNtG5vLx*~Xj|z%6grVRB8dB5zkd*2}gYV|Y4Ru#k
z5%FHjqY)czlw8!(`_NJc?yn8GyI&)s%H&?Q%kA3e#FYDZse>NGbSx)*TO*;G&nBWj
zM0L>n0HAVRH-JG?uC=!P8ffwKQJzEr9h9eXmHBCh5p3cSDDs9T+E_Oo2rAJ=uCW3U
z$JI?C+0LuKJd%tG`!1KA*rcK1%*4P3Qvh`9py#4E1ugA-E>iWIiV{PWQ+Qm=;HVzo
z5m7q|qH_11Rt?iaYM&eRTKAhnYAE;JB4-K;T)H4LahZ%1jud%RQ7j;Bhsd*7G6hYE
zw@P@Vl2ByR;pxHw3z*N;s#GW;BmL`3!%f@w;1a9;bJfKXK8SoUsV&h&_IHgr!sHZC
zd&)K2ge*(QIIWm$?yG_99vZE^{V9d=ME7#%6<Y%9aOsw27YTW-I!7t33L)A0Gv&Ac
zvxK&1#$7vji0H6>7vr}CF4S5Us>$qT34_9|Zg#S&X!eWgIniMPy7fU~?+n2bbjuz+
zUldhF(GAaaKJ6UCGl|ODJL9(fcZu%HBC{fL8S6j)gsTf%6#DO90J{aOw1%;tSd>GT
z{DQ7?E6!tKwmwx=;pTAXb(T`=kPI66sipIH?-ph}>m_9S&kTZn=IKYbB+&X!cgxlR
z2C(Qtep5%yz{<}Ro3<B4G6Ey7H%6IZ<)M#>^A~{1taXgBPY}&{fr8QsD@1S)Uo_bb
z5c}G<_wQpqBxLcQ&u<%c$lJTpvpWfc`TBP)!N<AKV@yxnfQbXzq-*UM(oDfFBlc4U
zJ?nOkUsPHgIp8(v?3=oL6ZmS-z5A^U1CsDO|3Suq0~lg`DzHXl$at1`&HdB{e)r?~
zL$l%>u=wQBt+rVssCYGOb1Py2zrI^EWVD_gg8$l#mMR+o$&q#0qTw%|roDQLc7h#h
z4#^%Rdl|y&k2^2icn5K&(Jme@Hg;f>KWTP0-vEN$^2}G?*WeL%Ue?dPWrI(s`E&EK
zK9t|y`<t@-5feSaDLER#2BdcE_d`2<_#^v6sM~A+OLo+q-fhnYgLY-9Ckpgnszyy%
zxBnN`l)7$Pw1W*+ElLLpx%D9FYLXa_(-iiSufzMoQ8sw5UF0o!UKhmA2u2$x&0^<0
z)+UJmvBCb#m#yx<bznR(O8Md21<cEBKIi2o8`#vLZp*_u5O})+Bjhe)Z7mx%H*c~7
z=U8QZW~Vkd2;6s-@?FCce=dft8*+fa?~E;{{o26EwZFH5cN6=2)JT{n!U@bAxm!+s
zG?>g{PVaXj0Qv9DG)HMJC^@~O^1tIWQ1fjo=eth_f2h0d5*)c9jq8i6;Q|$2t#7U5
z{h){C6PCv<i+I3%$b5%+3>EOqH}qRXMhG!i(qDbZ3k=D2ueubeFm5g%t`WfmkE3Ew
z60h(9buXtA>7y2)pKb?*2bqDP{RVn^fgkEP8?!I@Ye9hX6i<L7E7&STe~ye70J}MB
zO9@deAS>O;{?N$=)~0!`eN}>BQ<n4dL^B06{6F!<1#v)~<Iem4*n~lJdAC(x6a}`p
z92pfzTo73<szMhm0<?oI&70N~2t>WQtppypl7Exnyder^#UK>6%@1qb1@C@d<OMw1
zPC@ahI0UO?4v4gn!9NAmlWy?=^PL=?m_SK*9m8Hmxj_c&(dyZye17Q9=<y72mxeJt
zCNm2cGSKDPDn|blfGxgEhhlwM_<40o=%E=I`jS@Gk~D>Y=DL*L>LdpTqRQfbS&?Bj
z(dxjSyTUNO>#3_vxIEZ+H(X#jL53?y8dW8{q7ceUXBJVe0J~QTCoK!eklfJW6Z=#Q
zv^VycSu!gD=QEejscaOGdUom?$wdOn%=&-U990JHF&?@`M+)5iQWFs=F9rVt00960
z43~#Lm2Viv?LD*ic5sg4*xPfPrKFIMGE&J*R%Q_)WhYUo&@c)Wit@f9G_0g3BeHk+
zk*uHp;JL5+ey;E58yn2?%D#yJv$PNWbt)(@s`@=`kX`~@UX~qnp(sLVLa58EyefDM
zC%c`CkpyYN)OV44N<iSIZXBpl1r@@B+j&V+U_Db6cZG!n&g5Hly{FW`pmcfWU9L1B
z+U{m$A7zj`-SOdwiaHz$`Q>q^QU=sb!~bf&B12^7V{cPI4e*zG8l~7K3%*VYQqB`9
z!1TdpwMRk|*c@v3$|mLDo=etNW+(;Pq&ET$&9xwt!}5Cmjy%vC%uf~$Qb01;(akGC
z8`?y4+g`CLfckvW+iW>i&|39UZyVBqAK_*W^enscq<YJ_n5)9$eJmfetn{Eeb6+a+
zA4Lc<;UGNIQ3XEH!n%egeF*y=Z$ewA1Q}%R>BtQVkj<(0FM}cIo^0vXb0<QQzBAAD
zYZTCuoc3j`F@h$zNq=U52)$U1ds~+ZRI=Ar=x_kk#nVjjD3Rbw16_<Mi42eNu2W_&
z0N4Z*H~CFTK)7gO(@!D6kDGeZ#pcG)K7Ft5mmCSsnx{IynpXs-I>!Oo24m1WvL*Je
ziwN63%R!Z41PJtav^PoG1hO*SZ5a0vp{<U|VeGdoWIPzxUGg-6+NTVQQ`eLruG*QC
z-a;A(FZ9ljr<;IGOfa`|fg;2_Q%<$<lz_^@ig3ex6Ictr?OT?i03Y)soLi!W;jTdV
z$E6GtSeT%tlXWM+qB1G^$}AsX!tZi_`kO%Xj^VRJL3uc~<rkFM$_-4;q!>FL6BwX<
zBl8rK1zyD~-)<VRLC-bsfSEtWkhI_LwxEj)P{e(5rKjj2pv5a)_MS0N6}_^l_$LLW
zbo4n38B}m9<mp)hQ)7_mo4%TOTM`)ihIBg||03a#+k>pb0QD35+G4JW!&XUZys6b6
z<kH4{d@TYX(5xzmc0&Y8!ZQfuf(i65U9oC*55PQQ$+`7wLU3`I1LN%*M7aTeemzGJ
z#1h!dH%$Z}EdQ@VfMPdt>bSiwdc_FpnN+gbW%%HxW%9<eg=W+}0!<dL3?Y-5udPFw
z2k7q+*1hcCpv~!a|1%2)a5p)Vqrrn4(hsG?WoK6*Kfan&C87b0b@=y9CUL^c@JsIA
z(KV<b_-Xa3k3Mh<75+%M%LXAY?ZsThaP%RGW#(_C9!R&Pm5b4^0I}ImL_oF$jcuyj
z(A(05)GOuoSD!ON(7;jJHla>r^Ml#r=|Nq1Wu<C$poAWzQVk}J&h(%~-MChbLLK1C
zzwC8?loqT$%1b>r|A|iRYcDC=(uTjTH)E@g)4<`P&|2#cztFMS?!R-#wL#afQ|=Qx
zHT*sDZfsU?6bT%nJnq7^z?WXF`oZ`P61ZTR5tlT9P9>#WRa4Xgr7~yTCGKq`FOe>k
zzGnt~ZD#P8&(?(A3s?G5vo}#QSFPT?m-Fb->GHsF22Ds*86v8CZy*LSsbe16e~|aY
zf%2V54M<nwH#~OrA6ho7&d!rsMk0!%-=zOjhx6r}xu$dLDC&fU&W!MX=umx!k3pb1
z%n<g^FQ>1g%IQjGdigc9j|HnRSXP67-pyCl0@hJl*;QUmi*<CmE}>i?Oby(!<16A5
z*HLI}0N>$D8|csd9NYI)YH;bGPzmAdI#Q2P+$!kVLVmIZH;q$N!6YkPmgUGl<mcvV
zwIWXipHfqMuZyVybD&M|d-@F&Q`6V@Ae0)m+s>MnRZ^hC`}Cfi$qjU_+W*Jhei}Fc
zlkO#!6!@x9eDB!iCfcAoZ#Cph2mc*9S+4R)1w_`AZ^s*Nqnm-ho730mp<>WARghH$
zjuc%V6??sdE^G|odtNX?mQiQ7wH+C@W3n0Do>M{5w}MAo8O&h&&$UUmNEs+^H4Q8a
zslkkRcv0pSE2svs+@;wj0o7LNPGJQNygn6Np7ntp7F??jdApO~am|w~j(%Dg6bXz!
zz{dry3boT4?L^RaC?fh0=)pb(3+r>`hGA^3A!08Pf&%r%25&F`v9083SMwh5CKm^E
ze^P?CREKOk<(a^@F=DLPiWiQl%6*bPp#(JE7j(vkn88(CKYnVN4>p5IU*2vig6yUf
z$Id%ec>cRWP7)IU4(j-qdS!~BMwgqf+070d-WGG;D}*4z{_oESKSj_uSe7`!%moUJ
zjfXFP5&^1L^K(@uityjTBV=JSZdkG}{dt009B3<au3RB2f@pwe%3|&wK(TfiiYAia
znyshvM_myns8y5Y*?GZ^`lsLTOev@g`JfqbR1sb_Q!#tq<Ab|0=I2y4q#@~_iHlsG
zA}~0vOljK+fLqmvk)IK=;I}}neVJAXj?Dzq|B@GiFaCv@blmb_>6+wOmZJn>q91n5
z#YN!S)rr`jbp){feE*i&aUvWHeg3UkM+~GUbdH=2Q-m_(f$ZZBBxw2_Xigg{0nN*Y
zpCA(=yy*XtW|O82m+E)gY^EiFB+8kq$)gNm69zG<EGqEWZm$KiqBO{vKRChtn+$hi
zkI3Hgq(JLWodCfQ8L;ge>3L{J0fzjrUX$~xVCcon8uv*Sdc%wU1S+ZmyVjc)^&&N>
zJ3VHrryvgpd&3WC&8UL^H_Dm@wFW44tgLNaA;9zn+0SC>YS0zcx&K0<CakLQ=I<X=
zfHk2Z%@huG$UN*T#;>6bF9zPNpHNhSfqAWu500xtOt$^`ht#^D_v8`3lglm#YZ?>h
z1Jpq!PpN2lLJ!VNOcRrWNN_oBti;Py9kdr~cW(bQfa5(T%iS)@;9)HBBcxpo0<+dX
zZnqnO5bK$!WBg>8B~QtZaH;`5>+3D%1n~QAR)Aav8A@%Vsw<dPLD{?N_#r)Gcw*V6
zG}A%`rI6pXqwy->JxXrgp)r9vb1wUaDl&LF=4;9(lOQ$ib-84j3CKTWig@TqhCy<e
zI2$NJ@9XEeE)-Kxaxj=}tW<{ecg*C?7CAUtcB$n4byKk6SM@#jo&<Lq*lg3xq=8TF
z>5L(63Z68*?H}@ppuxeMij|20`D+Ekug|9NsUo<QsILSLeM0ynH33Mm?Q|5cHih_8
z4pOHo6+lqj*RjBy8w5Pw*iFZnf_7cXooOZlM9!^ha?&wD%ihMV88uUo9avA1JSYeH
zY?R{o-Yuk`ACNcQWdh%lSM;AJ$pDGx_K1e$91<|5ZaCs$0`-i(HZt#}pw}ZueK-+E
zErvHvF3uQ3@lLl@5{o1lDD5Ei&>_qtQ*x^EoH4xqa*)tfFA6u=my<p-EnrWCb7Eio
z0T?<Lc;a%#?mraoSO1{?A4ce^WHSxk&EG%dx8V(buylV#ono+#NuPN1;NKqvujg#8
zr+(srgazL5<e3eOz9Q=U05t-Ls*dZ_<p!R#?72?~TiEc^2B)(^Mvxygv!;l#!|bKL
z4iT$ujQV>+sH(0ZbYxnl(1tO?ggVc_?SO5Jp9U=*cQ*jG;+cTMdGr8e)$kq3ZLFsw
z&Zj9u9}+a{wjM~*0E6(0c=F{fj5e{YnD?U|s0_OlE;4PSVue3>qR%%mritOz5oSHO
zXjor&H2N?4`_lN`i`EV7xuigS-C<q$ly^HNI&B$Io#H?Iw)Y?AA@hZbl&=F+P1+pS
z-R4mq`~GWh7S}P8bD>l%f3zXZ0*lIhFpkczGTwSAvW~4N2N@|I&<0N9cLj~fLnzQu
zTjIO>U+h!8>x=bbE%+nhX3y*1jTUclCyRVo!z7f&#-`Y{Ad&I?>vM7q$S!t-4Yyyz
za<y+9sS4EuH+MN+6WR=HU3Vn7nq>`p`P}-Z<fsPNSkkeNcs63v=B%6BQ>&P6_OjJq
zdky%?TTreP+l3LMxkHv$R<Y4j3JP4G)gj4+^}Wd5UM&5e7uyxm8umG7Ys1(=9U==)
zd}~x3!er9!KljgA!?NejZ1^^*LDA>wcHY7fOhDCkkBjVIEa`!WaEOH(oR#;xWScmK
z5%?uB-toVfDC4c0CZAQI<n4CpP3uXFI?{qa?)y4+AzGlc!Cn=%H1B-=N;iWwec=}v
zT>po4o-6hk8KD3hoq?oe)g1QE+h%{I^(JP=a5Lvt5Ctld&PGmYEMk$G*9+&qZ(+G|
z-|6}pDZpDw@;!F*4>sQ8Cb62cgV}^-2-_eP$OPfSG}>kCE>ru7o>nTHaWS5>6+(sp
z6`u&M*cGg}p;k(Flp6QzToY`0p$z^K$*&LbtYY6@F%(Hj(&BC0@5SH$CBe{Oz=OK_
zHLTEU&G6erI$U9{HC@=81h&Hr+HHyJSghJllX)5joKwnta{U$&V*9;1`GYpFmKF0m
zN6Hy-`O9?sAFn9w-r?++&6O?8+ws`O{zPW{K)HK*q@xn}mPAPSHtt|f9tY3*rn2H+
zw;nD`H0|=s+U&ih5H-F!%=q(JD?1*>eeGa`o+9W-drwLF(%?#Q(v_-WT=)Ri<vH?N
z0T#@JBxMF@@zZth1%!jS@jE>UlWV35&{X)9-SZqhuBvmpD{W>EZcwa{)X+zO7Zdv;
zH02p_hq>At+6lb)Q|G)B(NP58^^c=trQdzuS3~kw3x3>6#y6})nE>Tiye4xvS@GPv
z(^~ozL43btaUaiuJZuCTD8030$7lPUADfvA;}ZuWJNn<r!;g!<_9oPD;xQD)>K93(
zxS!ebozzl!aFvcEq>;Jt{2exSfh}=-e=#Bv%H*MkV<*`4-X6Sv$btIM7fIY*XWu@B
zR(WVu)$2Gw;l+jAUULS3G=AtKSL7pF0&ucaB-{Vy!_U2CUAO!ogVQwH5{`Nh-~wj5
ze5h6cznCk?p6e@zV=dq7Zp;#3eDphgL$wfIa`fRKC=&44+X?gD4;4UI^5fd8J`r5$
zjm=($Ed{((q_H9Hh9bzv-4M7ZBaSb-I_@<bRl;dpUF-HVD8c(SC;xRzNnF_DewJ?^
z3I8!&wZA}(1gA{mj>X)N!t1(Uo}Kwh#*0-riSHJbLCfgS^Y;tV__&0InDH43?wrGR
z&4QW&cTTYSX*tQ_=Gk<6Qk_)stIE>sJ6fvHY458b+$M+P_M`W$4b<@H*ZW^4-BtrS
z9(Vk-1pzk@aaY--Q^$`AXMA*0(SWnHkvDJEE8sOhzc_b2QOC8)B&k~#HDQ2peD$fa
z624TCvt=x*fh)*+HG2Nk2D|+eMas!U-1c5+U7ei<UgamykTIbPmlSvIp7}t+r>zBr
z%gr=!3;L*Fb`}FTSD<#ee@GessM<2xF|LjyJ3&81jop5JII=O-K*j@4GZdZCRL8##
z6o$(y0r=k7SWiEtf;Tkl_k~f^@KB%a6W58x@TKn6!s&VyoSvu@5jQ}=(|lNX;&@Hq
zBK_y!uvQhkr7-6zUm6*=S~E>m=r`H*s87fEE~(%Qc1I3jn@YG}_!_5Qq$wP~^=J}}
zka44jTl0sN2za%dmvz^iDVSHSC4Kx)8Gmx&4O0)u;LjMWCO@j0fuH<VHB$o#zt1(U
z_NhZ0|EuFt`(~dRcnS`kCs-5lRMLJ{x_AM+fmXIYS<4LCqun(uixqKSN27S^uUz<k
zDkqN#Dl;hR3nL~E5%AuGJ3_H7^myV+VrASjQ%Kqg;^f+v!#mczjbsGYuypyBSxXC3
z_(fjI1a4WJSMU{Gf6sT!pQ+ynYd3+t;-j(3veNkGqf;wvzlRXdCiXn{pb4l_F9_*@
zBp&E_|3KW@5{lX5W1rk&495?&mrwSI;-P$Ov!`4(kn=4TQ#CM#*h}&iDsDpfGx-pa
z+GZ*Ux6;qotOdxMD>!^ygdguLs(12PqJey5ljEulAa-$wbeW3>Uz#Qf<+;*<jd8SY
z-gyL7rdjMn6D~aZ(_MRQ?Onev5@RM`Gy>fE<-vRItaxJiwNm!G^l(Otb!+~HAviF|
z8r`U7z{T}EUGmE5K|UpCq^rsRuD!MT5q^;dKX-0$)iQ}5eCuT<BY)`wVe*O8v(sA`
zKZSIBPM;of&usiX&8rW*El)hTZ>?f-R;x;uKk1;)aXI0?!+N0Sp6?YHw}|B?f4^QD
zL<dm|uQ#t}>jIrq<C6{2I7VdAd=kY;2aj%vEo2YtfWr4NJ*k~u?7XCrT4OaW)C(4V
zP0-K*LHTbj8NchX*5PWyymPc5<(O7JmZA+!7dN;bPS+zIyQZuhBU<pp?_vAqv;ay^
zGf?t+&<7<Af((HccDg$0kJ@Sh`H1xyYp!8*NVE9|PNaqVLh1_d-e^Ki>F@lYcjL&J
zizH%gO$*g=A$*5Onvm+=JVd)SgZS?s9neUpg|)Pjhac~2Kq!liPm|9gVySk&oV`Q~
zkLwFhunTKIzIn#qz86af%^+H@P&#01?D1O9QHKT22ebIE6%;+jbpMVhJ=C*E{0tXX
zhf^MBXrFJaqAn8~d4+L$I6dpBc=>@ETyJ>uSBrfeC4MM<E%B8Bq&y#QvMZ~>Rm!n#
zW3dfHTX1@$VS*8UZu{v=y;TMB{#iS7^({nZ{u6Uqni)3pcTTk0r~-CGIcWdU9kfq&
zOM)kX1xV3v>4jz}fLBJT#_!&lsJ7F_Szb0+`_bN~c9jB`kM{X(&QrrY@1r@qgB=Q%
zol1d30ohAW|5fegc+w}<=0PndSjsSdTz;YgvYmMxZM%DoKbkx+JHrL(du+1z(W$_C
z#|Xo*Z}cF2uSyE|_JI4agE+~D4B2nNAk3B#;^+C+{yWA4#RAeP0fWjQa8%~vff**C
z?{<FMQ_l+r4ni=Gt1<|&%`MRuvA_Z2;odqEe)w|T%G_+81P7W&7=K-2gNnYWjkHMt
zXjd7`^hqIs$@Ty>=`si0oVWj={agsjR2=x!jYvRWFMU|TfeU=rh-2{&MBw@fqJ1h2
z37!YibH0w_1}n9CL$Oz4P@l%x(AZA|rv)d+>#ciWZ-<H5@ihq`G}pI<bP$2fFQ`_N
zzzf@T;!S)MDX_mxA745^go3NrOmrXcfoksH^|Rs9usw45#&;GH2;4IDSke}N$VnbH
zr|&Y*7j0D7e~biEcjKlm&I-cay$MWomU2Lod1#C63kmq27ZZyxVF;J2&}jNB4{Wrw
zHZmc~@XGmT+0#l<IAOWMv*W4&eAM%Hs+MFpc_J#`?439~Y}ikj-ByI9Imn8!Qvu=g
ztqhW3lCYBOFyL53gwK2QQYx${umxknHFu<7k-EFa&r%uOzi?D8a;k#vy+tEZn>18s
z|0{|dBg6h^gBMl*se-4ua0(5hER5z^w9aW!!1gJXY{8BiRD52(H(((LZY#l$SEngZ
z8d4p4fvf>zD|qVJBzX|gT7FlMs0ua*S@Y^*H9@90HqWA&0RE-Z5$yD8@H<=E&}mHz
zCW@zz^ZZi)s%JehRL;9iIPtr{{F)9tI<s6KCaMH_Cqs84Vt08dKN_#Etp_vGQ$B8T
zMEH-~Ztr?t4L*L1XU<>J2b56aYsN+bLh9oVJvlYVH$G*b^V|@!heNybTS=hXLNesa
zQw5RcsEt@}1X(P1ID>4J;Y_TJ8GR=OCK)>vY!Uz(8?3#@3Y6i#b<)V4Y!z79hh=4&
z8-xAG(b|re%22d)J3K^28J^0wbQI1SgT%>rb96-+UdmaYz3rj|0fDz}7=@a^*TkJG
zt-C(2Y0Oaj!;Jv?clPhC95ex;I{M;*lO%Xh^N=srLKbSyjub1(n!>$)tpis=i7;MM
z=h#b>f{07BE={}KsqSBrIe1hFf~Ip`r`wA{opjSa_kE@iNT6~FVNrxVoW`XqmHgoG
z!>Vx~$rN7qL~@4TAwYI_!b7hVZg8K#9jaDMpkz}rLzQ111oIZz{;V@Y1HaB!hg~mz
z@6A|c8Y>H@BAK?r_-LRwuuo&s#su=JGS5F5mxlPe?eZ@NR#EZ6;bR@UUOD13ZR}tz
z1xt5lUOD}qKw%9zM)T3e;JW$xy4*zx&<M)(|NQm?Qhcat9Ls79_0O5MA4iG8(xpUU
z9@o!U!&FwFaL#T$|Djd6b6*HjNlw0Tn!}i2{ZY;`X@HVx>p{jvepvbHkmTt<iP3e-
z@6~lh;N*L(xyzpyE=-($sbf5c-9xi&_0dMK*_PAFA+ZO@%rbWrxEC?odsTfx1%{9(
z6mig&nhQiHEDAH<EMk*=PePVI8vt@iUs_XSgHiUE*<~Gz*wo2f?yPNnNE6Q4*{Way
z$#9LJ;DAN!wcAkYmX<y+WR)qHWbJa4lger{Y5`NH^^#)`)dT&|JU6#bG;n9ek5%;X
z99BnfPZd|E3&DjpF)nsg@R8U_%uJfW*yqlc@i6Mbtd^7Vl;tMcXOrXh#dr#1`bigh
z&QS-xRc&=#3;K&jE*LF!&x~W`R9&z3mTLn`eHKwj;6GHuw;6RfcN8o9c<P@G>#lEl
z9UKf&SVDV@<4uMgMlktj5N+wJ1;0A!_iE}aAdQ!g>DMX0F!zS6&V?>bcz>k9J*9mb
z9lOB89%|o@6`5(*vl(at!*Ts98$07DzLPuZWJWJ0DmMJnuS5g3D~?iW*8WDnO1>n2
z5bVKD2_(*siSGL5(9^ZN*<VPRn&m{zOc%z0MHpFSsRMqsz2PL+0Mb8mA#|Iw9n*E1
znU7>w2es7OilRHcC}sY%V?%c<HWFayVRuapatqY|#;5e4vO>BKyh2S_`vcjU7i?<K
zc}b`;?$H-i=D>tgmtfch>8brO8LCiOrWA2ayA$n+%e+>+R)h81DSG4!se<;7Xi1CP
zXB1DLDyL0bi5;jg|FKd;fs>S{qr>zckk&)0-;G`mF+!W%u#Y+gD8tpiHq4umvRgyp
zP)`=tc%>(|@2U!P?)d%YVQWI2*K!ZvvOj`CGZF_IpOc~Q=IjAgi+5<Xc0f_F`v&^%
zTRHDLtPHYI)QEiyM_LusKbSKM(SQ5)yeQ*ShBPROOQ^xn<9<pMmq{6lAL0u?euxBb
z`uE-CLG|cn_nnu`*3Z$^h@hUMsYLLKF$x~Dev9J#BAyv~R3qN_Ln#-&C_!8FipH7V
zH;8qOvmnR678Q&8#NQTCg0ubyZ;W=lK?~{k2kc_%k=AL8^7~$jpeg7mgGg^t^ydQp
z*LDqP@4u5wXWl4)0cCpg_V`<57xM4!;qXQ@FvOYkiAMp3gM)jC|LPGraWh!^)q7O)
z!a@A`IRf;u(tX-c#SurRIL}*wR#ep8^=zX<9_D`NzHsJlK&HG;*zN9pM8rXDj%ymb
z9(TIuq?5=yR1rPl{P<`aGDv(&ZFW}<L>|moem&fXzNwT~4oP<+p#l?NWsw8Fs0v5d
z7fnd%0c>8a?LwfN9?~2k3oMO^2Mu=jawUa*-}lgN6e2#e_xOSgxUE}RA7gGs-_$Ms
zD?HwVnwd_zz4VlU<}WEl4zwQ;&#7Sxjq~3T=fmTnHNT~SE8$m6g7#-b{{FJsytWUO
zXYsin@{opaZ(mofl(eIJ$syTNM*T>erbo(iTnes6@T%8UcA}?g&Xh{pA@nkKm3zil
z3Z~;7d;8SCpns(61D4FgD9fLIv2|4v&fjOLx--;`LThFuZ@(Tv3iZi6i*b?=^zBug
z#p@o#B*(oPnlp;5c9QPd@Jhn_apIo`@4us>llJFWo{Xc=LY<_BLlUszbb*1B<p<&l
zOJwBxGl?W*vn1uC#X;ZWPGsiwe$<)xjPfsR28Bk&mN!(00oCOu!3nz|<or6Z>Z`>(
zTAvR&d2L!0eD%tnw5ksy*1A9ri^@gBVecn@SxFQ^y;F<+O^l$@I0=bR?<GWY#GUjk
zKm;<5jn!#?8by9pS$RWtD=4Vh>Z9~qVR-T@ocq<tII=mNF~1VHik8wM+o`yOVK`-B
z*-B#yX}!1+`M&Kh^4(l?4fhg)+i~_S=bLBHLbGB5htCFD<`}!)^+6B<&d5G<xj&EQ
z&*Wb@XuFMW)XkKiQ5A%wS>AY#u|*{QmV0RGJr#_yB@eu~F97~LtTWb+meAApebIjD
zH1Mu<PmZIY0DLBYqMo|7f{f3nrnRNe!P4|7n^Z18Y)vwlo_x28o>(Pql{Yeg*Sk(j
zE?ItHSd!!Vsj!ZIQAs)<(qV?O?!p(owS1uQm|sV%djko?HskS2tY9mc@7{5O51xSQ
zx02RvWQPs@=~(9gzRO|1w7B@7dhh3?aVBagf97C8CUO8&K&!t)Fl!l)_*Y(-;&7wx
z`bh(AF|jC?i3i5-w*Sj1;{`M2=f`<R=s?9du<)J`9}Ku$)Hr{a7pwvX=47Q9A#3o@
zflLnpV1YxDj-|Z7dGx9KTs|}0x4ATYdqxO&)~*G!_49%ecPIB}cQ*KyQvOw}MiiJ0
z-_6|A;)8;^KLW`CoNy#TH`f1?1aKug7+-DVgEO)%FJ!&AL1X7;R@+S}Xf@fKG*96N
zkz*4I>U(+M2chXA<9QjF6!6M8xSR9YeYbwe9OZ)z{<<{QP&s(`CizGzs}N`~a)@5f
z6@Xzf)z3SR2=G4u0096043~L0)ZZ7!EiGi5v5nmfV`l7OX6zgxv`8Xb3q@rs(JJX@
zsVE|qP+5{}5fzmdhbT$-iWX##BKumzZ~px}_qorx_jAwdykCzTNR*-;8DQMpK`9ZJ
zfs@b8{;Kh)!7gSEzbR85iVp=3nAFPw<=fCjiwhc{KJQcVQ<x05<qCp+y-);ah0vN$
zn%WSx&(3A2g93)T<EsB1qkyOnJw$h5J^b<g^v_p>3PH)q+&fj3VP{JE;Y*&n;OnM-
z!ulBvvP~ph%ND3$CQE<Z@>UOa>s$$K8Bm3qEORn%Hw~Vt6eKh%uz<9mN<WaL2?4bk
z7X57u7(RdMX`d?_R(3vel3H93TN-+A*|n;H{+V4d8vFD?VC_dC%V0eyl=GipG-^OI
z&%Z}1Dh6=8pfkEhhYc1yV@KVeXu*6%X5*U62Efg8QI(`^2p@T*m4b}cL+)E<(duvm
zSQ+t5-s55dTrK<K|NFNdEZDy*+<)ss$5;DSW}-PX^ZiKZO4WftrH|teKCt1?OaBPT
zT^6u9T#onNDqZ+3q0+uyjs>=7r#qWlH-PsaLhNgnE;#r(NM0M(1-HhQu49T;aOV~+
z<se-b>{t9dI=8I{OFTj<QMZP)*Y=&ZUv%JigtqS3cQt7Bku(q<vxce&mjeSEbs%eE
zG~Ka>3coM=g<tX72t5xAQ%;;&4`292c+QQ<LzZX#^6Hq4aF(~x@Zn!A=>L#!v+X}o
zSd2+HY~i~RW>tT#;VIUD(8NI5j%;oa7JG2Wh`13Fc669^(A9wJUFPXV@jP>xXSPRv
z$6LcGU!#kn=jf37{Zn}H=wju?gVFsvMy=quX5z!*Ix0LQbr2o}@#DgDVaJrQ6|k+!
zWNRgrpz9=8%0ns<XV-LEEJj&^Z-gyx+qeRJ%(FOi-CrDw5@Pv<K5hW<^I_cjW75z_
zZHe@MC5hy1Hzs$>ZGbR$|Eei{382N6#Tjgp!XJ_)%5ujoprEt)=aJ6@h;EzEqnb%$
zzVk}XkFNlo%y_kk+x*aZI-~npr8F83Q*IjD0t5%jBy0yBunMuLbRL(+uK)R2*PS<q
z^F~udV9c9$5XT($4N2qcxR>Vx6U~60vwQxs*`T>ByZ`CWm(sX6m8FndYzmo{0_ko;
z*US@2um5xVpESyZMdV!VGJ(-(DTM&+t9&J-t?a_72l9u?oE1#qkyx($F@dQ{`h6XO
zKbJI)hxA5T1{g!w>-C#|e*9Be=AVA;!AB`PbM<RV&s!rHZyDVl?Zt&l?-Oh`7D}Pp
zAIja|8b&Z8Ah`EIBriH;O5Oi)TM9i=b4xw%7y|Q+aTAxz8vL=Cts$Nxg@lcFqy0&S
zKuRHW*$(sJ0AWYx*;*+a-s<5VkY)fc4}1>{v=P9z^z)XC6)F7aI(%@H(;sR+ruD(6
zgwV44__y1R()dd`BQpKDJ}j+0%pZC|1V4Vhw#<jp$Sp6n!@*e}NYnbY{Vxf)6332o
zwvj=nbDDY+3v7rvY-vCEfQYmrJvIHGGN}BI`Xc%s8*T)vA4p9WMdP7HAH%z{$P>gj
zuEy!(x;1UB(_vzm_n|_x=9nA~T@08O6KBJbKsn*-`@~VswquR_UU{VKxvm=Zl?883
z^4ZneNnlHy&9INB0{%>TmC%sGg5r?tucDZe__+%HOFpTH<@+1VcZ9JZc8l4kb5s(V
zu6F!ev7L-1wMhdPcd;PM&RB{pD}~|PwgzpSBx8=}(Bj}m7Ub*=`w<~6je^s874fMQ
zyfSp_`J6EeOiAS#r^qts`uj>!w4D+{mcwo<6Bg(fr6pZnFN?DOs?H3rC}FPhy$_zY
zELd8M3ZAl)!!=0)5gT48<CVK)<4#W&T(RZNP7IJo>6%lDA5K#-_Q->GaDfF|rpPD9
zZz^C5ZGQHIp$bl2PpcJp&H_1G?HBqV6w!3fbarrF1-)LKc%Jiz1qJGaup5zN90*xE
zbKnsTg+(Z%uC{EDvD_UgtVF>^=bI&?K6I2{ee&tX95(cyk#Lx=rl4=cj{Ou726BhI
zf8;^XhlCo1rB&Waxa<=ww6B1HITFp=EMxWI@VZoyQeI`;8@u^tyPhiY3ylVNh#0_h
zY`V2^rZV2TGn|l`tBML=6u;(W8NlNRg{~rfD*meF{#DAYhPEG4zJD|`gwUNTtAD(s
zqF?K%+kP`O>`1E9UG>8dcGW*DNwrtO&m%WA?cCMy>gk$H*(4)aSJkf+^j-za)S`6a
z9n~=QPeVnxr7^IhMrQcgG*lm3dr($I4QHOezH2sT4ChFada_A0jNg|`Z)sLV;b%TB
zv|JPTa#*G)qJxIjhM&LWJF8;*+mJ17j;62_Qf#=JKu6W~aA<nMK)*y(>zOr$*Y?-k
z>DqK8Z7X+rFhR#;qG`!&oEg;amkzIE)3NN4(w$C0I&O^Y?Oi2d4!6SdW%6lsY*Q+T
z7Zj!;BfZGh>#{jmk0+2`Ez_{@RC{pkA1da$<PG+Ya@N<y?u)6U;ZV%gW!2Bh=$tgV
zaz-BDML-u_&X0z5iwV2)^Of+&QO|GR4FIkiNi+#^(QvOvW7ES>3Ld*7Q8UNkn3%wq
zi(XMGXeDUb;IWO20l#J+&us<hOBu%SIVz@|`I~aaT>*!3qBb~j);}c1Sqkl<;u#%2
z4|`oXJo;phGjjHi$|-2;E>}k4g3i3SmJCjvn(HQ!0RqpjW`E;X#=+)WRqZ>Z@TFjb
zQ^B%1=vY>*X?0P;m-Z3nZMl+o@v(I&??ZD)5UcBq&!(W_u9Opz8WKozZZ&t_!8z|X
zs%i2#8O7J=pK0$CL;J<?u!2!DI7GGiVPQtb8oB%ZarL5DnOyW^@|+o%^Nc>VQdY#b
z+EoWF`-qqpd8BDdzzkBjUN7=|k;exkZAt@lA`W;n3T&>K!sV~8*Hxv-;l1`=kERp?
zW}4(pc#uqi{U^F-I!G2(#&**rbqTnUw`wvV)dWO7EErt&kiq0ko<4_O5sVpJmlY>t
z0;?1pW|lmpQQ&Wx-ppMQJRdXuB<Gefh@9~KpJRv=x_TXdY?dv8ycaH>`k%Zp<PII$
zqJNi!1S`$E)tw^9ZHpc6GL2y8OLFMiUy|6?ccN;u3IX@n?mH|@GlKki5$!G;Npv?*
zmS7ztpx=x%;Zu<z94#~>X1|uexD9g67T*XMV!vDeyn!JQEhV!gw@Tn#vSz@5BN2yp
zHdV*GH30wGa`W#~;^<Gk9p2te#OoKR&W5fAP?VtaKIWk~@&}Z5(a(vZtDUdq=%_vz
zP$pkwMvCK?RNdW#^<t=9-cDJ#s1HxyP^R-ZbJu2ye2Oq7h7u&ze-CK-kal!|o9-u$
zWz|gQwi<D?fB9;wXFVGTr-e4$KP!$dtj_h!JPBkt5=(tU*x<qCmsgP^j^EuhTqw6C
zaqsWaU=<}c3{(-0@$`w~y8g-B`<W!nOT02N`<cVTC!5~VbS1DeIyd=SnH1WXXI5Ax
zu|Ox@L#N}01c!s}mzq1IvDsebbCeScZpQt#?i7^7eVYPL-4vBY`KN9{TAVyM_@h^8
zG+7d7C&v?%-R02nRC~_*aV9wXwXbQ_BjJ{A|9b03@>mjee{kSE6MTNW=yL8S;q>xR
z<J&TdsGd5yN~VYjpMU*)zn(KMUrJu*wy+~(MoD_3U>Xw&bM9Z3I4zC+#G9kxf)u0*
z6A6A-nXp<mrY~cU3??wy`7WO+xO&a`FF&p^;WV%Lo2|~WI3h9=`aMSp1JV^g7~EyT
zRpZI9<GbWA-q&fY{j@UrU$xsK_lgOhjC4DULgaCqxko{r0~OuZ8JAlBU_#sg@o-d%
z0v>7l)c=N|g7M?`hW5y^pp9;7GF-2SOE*o_F080vhQ{QF<-IJ}oM4pg7EQ)9^V$o0
zTWIKYX(A{6F$?O9^`CarDfnyjtUNQFjv{JTY_CYNff^}Tjg1tnVh@#u?`0r?D=K<0
zh7GUv>CZw>Dq%6-&MR)Bs#wxsb})3EK0F`ocHBx<#sggsHzhn$MOpi#nRjXW@Twy0
zy5T!zysc+n@x)jS{idxwei<0R`)1WmtNf@KNET_?lCOpa!cP}2_8Y*X#$5&`YgDji
zeMQpToEo0ZUGu&r#Sk3Q*G5{Us^F68gRyL~I(`pY5f0tS>6h!x+55>foVihL_eDt^
zwL;G>l}a0fh2QVBUs7mTyiu^C|F0T8;=A2t+HDN-gQwpOuh4MbYI~Dft{R>;I`ASo
z+XSkaWrgB9=(tO+C2u=j4WC_A_I<d|6s~4X{3RsPu_5wM%YiUe4A08uZIUvB!pleK
zD^KXCo#MS}I*)-ao3<a~uQmfU8E!@x(lN_#Rl-CG9Y=>2t?Jy(VXkWX`e&t_@6xTG
zb5m)!_O@8`V7ECO4h}CrA4A9V)E%dTeO1urb<G!lIzWfk9+syy9mfs`kNeW8SmEVS
z+~){TcA(^&?=KpXH^*!8cPL@qpM673M*)~Rk*c02Xn3v3!>j%>1^rF_SreiGp8W4(
za?F?tKKrb?t{%wvHv2<ScPxOb{ei+{C(eBe{#6<0QovzdM*GJo03y$~)mI9sXwPsv
z^(a#oMLeShih}_%{!2f9cTO2)rW6Yre5LUjm-p#d7l4Aci#*bX%Gla7-Y~w8guYsb
zZbs_?sAwLzsCGgLRcjs!-b$3fCf2H;&uamC{`y@VDWRb5_+p*atQfAFS6BBhGzU#l
zYfFRQ9L`IHXWY6fitoyD?bA%mL1^yXSdJPQx4L$JX!RyyJtOAGp;|K-yRrCcx>Et)
z+fHm*2_WG2_DiYFHfBKM7Vfp<^h+&CVItpN1lKT6YTu|e1?|I?*DlD);em7uV}6P-
z*1t;N{4G<UzwB->`znKUxsWRZc0#x`qNAtq+yr<X)^0dbD2<Za-}rv55=7pM8iLz(
zOdtw=j$BHXLZ9aJ*}Mor)Q<hD{Vv}a2J;3|E~k;uY2ozrxky1ga-v7UPT3glrE?$T
zeI|)^Ut-%yuLaR>-Ne@LbR%#)Q)#R<E`bF?uZ6#83E}k55WQ(xBN!SZUgiM_6hA(%
z+tnn5>4j!33bzemP<L?(3dB+5sqZ1dJHq(Dtt<baq9I%x+_gJWQyee*8Z0a(iQqw+
z`WnW41NasAE6nP>7-rv4s|<4?;P4Ig^3wGNaNr^3#tbJv+o~34otY=#wFy(B?UnkV
zt=y8hU?YasvZ-q;^N5)4y5X#YqdwdX%{f`FDuy<*%Q}sIq8QlXrupX=8#ZQJdZbar
zP<YceFF#W;eBS-=UGfD^K98b&mC+W%PuyXJ=gH!D_wb=Zrx<Kl>wb0P%k7+XuePKb
zic28B)1!c?CKhCrrIw4vis38MwHIGWNuuD=vB|w>S>Qpm{8-&8hL_|EN_T0I&})kc
zi>kwd>&-LQBbef7cJgt(zq1rpC60F&jxa%_{rVQMJaNoQKhtA+MH=1nPHP?JaN8)P
z!N^Wq0^e>u=PC6~21jkm7DrDoL45Xj^zwTNbm00tt-_YW?Bj816}C*M)lpp$J0*z&
zOugBIIr7-rp>!ljnF-n^@zZ{WBs`S8*Xlk^5gW)$n$OoVA-+(cvP(z`nF9N>i+7RH
z=eT3$<~coxCHibIot45B@7^UREed+FU2BHN_2BK(Z31Q-pR76LES$EMlcO69NZzx0
zVB1rxeriz$F*MET@{kf%=g)kM<LtklX7XaEv>aAwvo7^FD5J=HafK<J3C~1G!h*K)
zD0~_vmdmJ^YHoUSt23wmu#tCB7Zk8g$mM5!rV8>ljRnRgF`=TfMcC<+BECFuuk_6&
z8cy5`>@DbKLckifs!K8%wKIxu^#{>0MW=?o#gyYaIV1+dmV*28zl&sVW8iZ}UGcX<
z7F={nRebS}g0OnWwm(X$*ptq6BSM`G?KK1W2g{VOV6%OP&!8%fBrp0?Ub3P3>uEmY
zKxI@*pL)c5Lk*qZ){yje>w}n%h~T^u6*XA8x_PSV7~AV1Tp?rt`Bw_=iMLX*tlZ+g
zaE3ZQv!^}OZQ#6H_s-?|vnuHMznxXY33aSCzVqpPvLQ4r^G(Xi(@?;xrD2Sufz2|L
z%RGKYz-}~T4i?ied7<9sx~K*QQg&b8&+!5QIj4|+oZLR>*2Oc`sg9>7Qxv{&yqoXL
z>w7kL=;-;~IcDQ=bqqJI=%X)~fTMu>(XMGa7FW3kd3LB_l2>!t$9fJ=90}#RIt<SJ
z2y=fRsNqp(zhJ#2Gw8^jNz~rKKurF(r%Or|O?SM0^25#?&J}IvcXwqVy;@eLc!7=v
za;~eIIXVCD7_aNFIRlHS4NqFjX?R65dApG*K=SpEdY$|X6k+LXQuI(k(t3JQ{0Yun
zNV2q>DW{{R_~9P%m@<0z?>xAW1t9R>B~pbg9eLJBI6XV1gzJP}y%VSeSUMk>d7z4h
zHpKD38@v?UTFkWm?;`+rd2YmeWg1=$A4pEpRK#)b*$!+3IQYNBX<CR1$|uQAd<mAr
zJE?EDOR51T&MlV{A5$^@OxtorpEQcj3+#AV0C2}ELd<GN8Lix6JnSxzP_!Z;h#3Q*
z*1lL1DyEDZ(=xk1?U%sbRo4O{b^*8*aZ#O&l~8+pQ=`~9F)VCWyDzE=aPhXW3~L_+
zi%RPZLcS3(@Yv65X<g=EbYoj7^D-HWgh!712NRH1E+fF@WezsQv1M|>ipVoy+}oZY
zjJwAtK9zNtf$-j~e5_7+?0tSe<XVv+u0Ii~_}Re>vP|@yQ(fioaL+FuCAI*5(cGS`
zTWt!wJdR)ehdDm8`*ChFc^y)fG@kC%F@+j=6+X%9()c~>UFjWfeoRTalo^-7c_)@d
zPHrwzX#9J{F@J#%|7G2*9uP8tdgq9?eJm1s&IM>*Y~{nk_u&PmXN|!icm1v&ElG?y
zKfrTxf)70o%d@wP89{uk$|DIY2^6CYor$sLN3582%=R(@qxx*A$z$SJB<m_){E;6e
z4<zxu_+kj6IhzhCREgnzs+jegsCD?<Fs5M6!4RA+rG2FsVz?Oczl50m0_YJEqF(UP
z07fNK)eZ7Rv7mS`G}TuSD;+%VDA*eSa}&X#+ENr9Vt>T#z9xiiEpqcWTJ&LE?8^;P
zb3`<V3V1r#C5#iMQpWZk`XK)y=R9vU5p(W&QEqZP<;|H``RJdV9Jt6-H@rv0Q}?Ih
zOGXIz@F-#9@lZDWQR>O>zfHvELkWE4RYZJyWZ8Njkqz;C^mTm-iRg9Oo7|8qic=={
zT@#B~fWl{snN372i3#qrOcz5p-^Jxk+gQ+=k#wbdtthq#4H{qNc!SV#M%0fv4$ox-
z&#rS8#lg#5Ru&u|x+&%!^zt4PB&ybn9W58dn4ETliJy{qxa-9qwi^>jp_8ct>SEX$
zWjJa^lR~2xfnIguOwek3`Q5He41Jh_9`8;_<GJSMO_N{rpx@=IXtJX?F1q|#P3Vxp
zl6`v?AX^V!{`yc^&ntm8q6V#JcgSIpz>?R_lX|d&U3Y7uP69pLns}^w<k7ywP^i~Q
z4=OXXY>9Uzah30U*Y*fStP<_Hm}Q~|8dl=(v=c};9FqJ`;T9QpW^C~A)z$;2|Kj4!
z6Qz(h*3X4>j)LCyXDns3^x(x(6G0|N8ZC;mM!Nl#aPq@J-+P97Fi^VXQSe6@jL<Aw
z6XL0ipKWuu^X||Cc@d+(b$lGpkr?@X(1VJ-`)%olXY?RO-j?dNQy#-JeoXbbtKdw8
zH<#^W&fH1lrwEiOV8gUv&-q<6G%dRGjIpE#0Y3hkB}9&o2W@`iwVRINw@$3C+{uKo
zH~iiuO=QGh+KnS_4D_CyIamLN3G?Y6M69k+Q1;cl$^2GTeCqZ7a;qf^4oY9pYIj${
z&utp7%9(1owMKl4>=zc~Qa>kMrgC!QF-OrlK6T8JnKTJK%Z3|+7F?1Xu2t_4tlv_j
zj<ap&61KDTA-t)ywfzYdHz+AYih60_vbV&V!(0YXK@d9AcU%P>UP}iweAU3@*XB>B
zzZrm(VnF8)O&VHH`<d-g(ZrxF8fErq2v=JsTlRdT;n}jr6t;yXc5kK5Xp|Vi>bEcS
zGmp`cb~8`)30)Iycmyyy#~3tp3(w6i(lIwq;&*(T28K$m3of{20>AdqR_gp2_@?iq
z2GdRhGXf~}C*n=PYHWGD5gB+sPQy_lN*$F8_j;T?ZU#EbM((-`44gXk*zeDIHM}=`
zOw7UF97;wT^-)9>d8bxVigv1EJg=0o4?n;j(V1GoHL7^Xq;`n8M8}oHvQ(|T0AcRc
zvI*@B+?K=QvpPpZm(bRqdG`TgSbm)k;~8k?*`VI=i;AQ@753-40OVm&={=c&-xrp6
z_HR^1(aguErdC@3L*TbJDVdI;u4@akGAJ0ceg0U7oCPRr?s#^4f`%^{(wn4K6fvvp
zY3yBP3-DT6v-gi44SVOd1W~%=P;&3-QFU1h82V`*V(P7eJZ>E#P9xIzLT>BfSF0?*
zAanD~)ALmP>{?m2U6+Jm4hgq=dI8Aia*W^IRz^}}-F>?k;z%^I8Mk@@&|LFWx41|N
zn+2|4mA@>C1NlNv@0|rm)83jJ^pb*EhSMs~vkB<>@JC&-Il%1YB!OoQWNfhfvq_v^
z80~R&#>l)m%m)?pN4!x)-O(2l!aD`<<T=yA`h(_>x%K_ktR;EeBxio>D2*S_1YVgr
z`JWkhiC?+vV<(3RM&&0D1+B$hu}4u%-waM9=?xz*lEGg`oAM-8*I=@{Ppo&EDJ1w5
z)6&$X@vuHy+0J@3mRaxd?piW|rd5S68f!_oKnU^Vu2_Y&k!6h!_L{(jzO~A`&r0Iy
zU)M9*!&YI);Ugzsy)lN_dp8B<93?RPUTv6t^eT)~>tCu@H3q8?;iL~6#ql|@;!@YU
zRTw5GICCJ$2yDI11{Ao8;eT3qp8>1!L4|xf&$1zugp+|7BZ`Ob>TDhvT#Y%6!SCk-
z41w-V&$DhN;`nh-|K;*ESm{1K8P{z9{~7Z<I$%P?vV+~%tRAezpO*HcOU?#xW9(~H
zSS10Ye#)EOe8Y#I?71XDoAn{W-FoW6E&}e!T#7IG%a3u_j;+$&rVrj1GDsIh3D`E+
zK@@ioz{ud_V22hqe34pV3si}q8aAZOR|}#|8Tk^oI~&}1?Axp^i{QJTi(fT%2xCf7
zMt{g43(mSJc#<PU@M-V%br-k@==U(oto<YlZilC-8r>5?t*oDdC4&UqykIFBD9i#u
ztNy@46CzmUck_0BClRA>JMsk-FyUI;W}a?c0?OxVUe@Xt#rvO%jw)_pLI(YQd~E~)
zPbrB6N-c`vR#NQiZ_|3PI+jPWcz}Ta8~U2*tRjK59z*UwS$a_SbSU?X2N9(nZl3Ml
zCy7c5A>luF>VZLw$UpT#BKn2~Uw!n1g!bm8c1mJ;z<k(usWn;@KW31hy_S{6tuMxh
z)_>83^jqdn()GnqMN@UID@6uHZPZ6gvUNdkJ8SKmWiiZTf7?)}!ST`39g&Wwb-`4u
z(<iE39396?ZY+F}$6bGGp0&H`!iZ?`gz^UotSWUrem6}K+enS)sg}C1FWNq$uUQfg
zwZ6Nsse+7ScgOW8hPqIf7<%sa2ni$no){!PqM+Ob6TYv;y3lgd>Z_xiG|oof_#Mj0
z=^ifab>3TaVe@ig|Du-+l21Qf;I3B2KRs2iXZ&^H)Td~XYcFL{?Rk1<?q`l)T$QY-
zx}^(bLr!m~%cIG%W`xhA3hD{$OkDR}7hd0Yp3f{&K;p+m{Tm{56c~1m<kQiEo+6=l
z^<*+uBpm(OrO80Y!N|p)6wW+~*%N<vic_~(RS4Zy6|L?#>s^yzf?sD#_+mW;t?0*B
zU2s#wQ^Cxj-dv8SBnQ<=<tbt1P<`HpUFsO;=Dn8fz=G%9Ke#?!<mBKZvE)7uhs_@Q
zzlj!R1HajS3yBA*_`Liyx23EmT1>2!QR`#FoSw;wm6Zw}FMG4PxlR*z0p()-dwn=3
zXSFj(hKB75l_vF@v~V=r*qimn0B(k^x~?_I;h|ttMPaHIPHMG8Z2MpcIwytvH)YeY
zd!LJ5X0a9$j@a&B*JT7Bdd;eKZDruN=AI9N(ONiFVDvX&&KP1<ey^MBW?)I@{xMle
zEzFOcZ!Q%!1*P>hx0*TJubtV`XS!b#w`!h93?rLCoVy!?zgQKi%sq$V0yMC3Z&Q_u
ziaGE_k6XF*sp6=!7e5zU9l2Ki{uK}axWvW0VLz#g;f^8^zHe3W@ZQJ2(m1|wMVm5m
z>YFN>4~Hx<=nSlg&Kyc_0chG$`8PIA6_vTJUA(`ahAES=k45Ay;P~Z?w0$g9%$d;=
zO^u<VdGCqnTTT}6e*gdg|Nj)2cRbba8^-Oj_uhLPj&sb+&wWT{lBSSkBz>bI4W*(b
zkx(c_R%nnSLZ4g7DiTE*B??Ja$oBL5>v_GNf9~t~<G$Y4_1FaLOXGg1fiD)^;^|pR
zXv)@K`0O|X40BVfZ!v4&%if9sYg9lxX``OlXa*dPZ7$_7RYxZi1qyG6EV>2?J8)cP
z04GD>+o+owUNy?dp7WH#CBu@>(MK6jYdu@-;jfC>%6%L<s^a+8WNPBq76weM4Onx*
zR|OAsgf9rJ6TzMLcU~}1Wk9LiA>CLvWn6fq{P*!4L3C<$c@_H`fSs3b(9J;!LtO)m
zD8+oJQ+53de?EX^Jln<qGez9!<ES{$#)Z@yqSuSP0EG0SW{YVG*eCL`BH`8=+-TFo
zXC?@6)oCbqy}KM9_>@|{aghyqP5*QEk09Xri>XoGKp8AZ9AnBJVL>BvOM&K3mZ0`;
z%h7cSQrOII8d2%VjMnUNjAkuMaJX;OuGk@g20BE%1A_?%&0gq8pRs_f*IJ1hX5!fG
za?$Ua&<d#%B`eDH(HwNR*reW)qG<cZUw6V~ne<FJx;{h893BoF=4tQ~LE62VfoRob
zvcCRy@4YB92%W!tXT6RvesT{U`gn4g{C3snT>3XtIA$hrtWQ)3-(1<2qGq{5mSuWL
zvk<1hv7TRHP)-n^xfk|!=rUn3S3S3ArU~>_>~Y#`D}Z+s$~g6YF=5J7_+~y%6PS6H
zlJ#AhA8(2oaSXm;#$m=5dC|~yU?lPE#8e+IHoAq&j8wBA`_djZ+kRsJfg4+>-+AzQ
z!mT#DPFCFQTJ*bOyD{hv-ewF6^WX=~ckQ!0?3g}Vq8Ht41U>n=7q1`ZMmx5MAI&>C
zaMsnAzsA7`=!voBjXd1AhBrRbt!fSK<82I!dTR*7yB_}XYv#f<^_hl7Q%*Du{Pgg<
ziy>496z80%;KG@XqUPQYT=?&@)ZL{{10XU^d3v{U;hM7avDPRa%&dDMySU!~dISGG
zeJ#k1qE3xLgexD~2@OhfF6+aue7oVqRXt2LbM>+E0(dR*+mD^e`jFwtt}4XAgO%IQ
z9(Pp}M0}nWs%fMT8{LdIHJ0<>i}SZJ-%<$0zF7{v?$m=j+)Q=X6M3<{G_dREeqo$C
z`$#zAf*xq`rVd9X@}ZYQ0#iV~2wn~}AS#XYU@_PB(o#7;R_%Y|pRz29A*a^z{T-#l
zo##3+Z=(b-?5vYePoOwzdCJ7(Kc>TBRrU9AmV#(fGyOYmOak*l<hF%}(V;D>Y@vo%
z2sJi~#E!&Dp+bvax0Ed%_!Q*%7AAzyv!P6m%T@-3q7UEMqDY5))?Tjq-@+&qCv>+;
zS`IZM+l_fR=wS0QX}M-W1V`P^2Uv3`;QRQ4`gSukxOPa%EJ{fXziQ>kl=CQ}ieRa}
z=3g3AV8qF@d&JQ_htps|K?zHu?XAa_Xu$StPmDyV1Ug6@zUOD9jE&BNwg1HFP<Vu$
z8mcUXcdB#adV*C@#koBCg%ur~#EjcQ^Q1BIg)`Ul`>OcwS*t<K89E%X_{eo<y)5R+
zUJFSXR6~C$75_&qbQoNeOrM^S!`BjtA3U@*a9xx21zux4kZNpb{kK~IuZ9k>|2wRS
z)*}ys1D@%@=8q<FnU0DG9vS63pK75`yOXY%gFdL7QONj3DB(h(<ieg|3g+EtHdL9@
zhfvA*bJZrw_?tcDUI)JpGBLfDqrEbK;O)yZ*Ns&0`QoRu;nGy(`um~HJjW13<7dWo
z^i}bDs`R8Ln=T4oACf<R&j=LmhOxh=sNv{I!xmN4#b@+uU{_)c!!70dQZnkeH6%`<
zT8V}mm*t-n^sEE1?~!V>6?Ob*mn-CEL&F#8^8ez*Od;;Wpw8R(8mM@ATk~ye8m2`V
zQLpbZgI${r)Bd}xiG4nbyarM<G@!j66wfjTl@leFH<h(e^%>_fJx&*WWeXK94OzhS
z(PcNWG%dWSW3jz4k&12Rdt7fS5kOadc+d5Z7G|4D2B_KT;5<cG!bb(5+h}SeRhWY4
zR{Te;n1Zcto?2n6zUn2q)#m^Y1#ei*#rkw>V%pb}rF}9C5STCxe$=jo;ngYB#E<Ie
z9^DjC70v)>Z;{e>N3`%^ctFP80#)qqKg`8m!vG6ap7SsJG*Ol3_mh*s%6KJ{&+_FI
z1A>#1I(}+uVpKYJ<+#2g%3OW_YKGSeyz1n2zB*}O%l$6dB|bTfa%Hu8EMNuJ>3rw(
zHm}ZGN8{`rmBb>Km8b{H44`f+=jF6e!+7t5-q&Qr&>?(W#io-1dpykEz7tbLDUIE|
zbGbt3a#-9`Etdf$8zf$L|4_yffqy6Dsr)GJl@}=P$ACD=MrYecN;vb)u^_LP6Mr!!
z3%r+H)nCo}GwG-zc3Zlaoc3YIOz#H*EwunC`4-QztQ7E}9b@RsBW65yR#<yW5J2Lu
zfGjn-9MUgngsFNjk(&+eL(GK$eh=+zJvA+jlka@T=1XVEh-(3x^aBXUcZsq*(;<l&
ze?F6J#?$0vt2)KGz!IeLw%adtisScUw)aHEBpG|}YFE*S1?;L#b-KVJhKEBho}ZVS
zAia{a6zgafFjPO}c5Rag>Kj@XiorO^KdW{j`ItE{Js4Zgf3@lxWz!wESH{Tb_C1lG
ztIgobjEqsPyC5Dh^5YV*9w&`C*<4u#%z*leF9{_DaO))@r6-f)<UosYozGrV=)N(<
z9{Z0MjV(p}H5Vqxk1a|Ds^uoY!TWsRAQKM?A0LQ3@AQ}KkjS{|Az}hIg<T$3I&h)(
z4L4nu&M8ubE}$Z?$`=Xl5rOX3wYdB=?BAQz8FE(zdC20kF+?A%{UUc`4fcK=aXfc^
zmUKVy$)X30VVw`-!aytsR^64oqHtrL9NJn{F!0C-Cabj+E6UlC_%J?lx_*%iYc{ms
zEN=u}A6x@HMcMH*Rf<POc7<e(jz|-`VF<s!%Zq-z!-i`*HC#g*n9$)%AXT5=5UlTY
z$sBcILq~be-Y8KP^kAd<+>bQ?m!bBrzqQ!VZQuH%Z6T~EH#V$wT)+V8_SHNxr?BCQ
zv-IHapKQn%<egWz$`Q^#=MU9xV#8X0oAR=Q9B35o_|;QcAFc|@)LA97q4Bt8ayai=
zjO1-Sl=@T;YCH8L-!QRb@o=%mt2$0>Tg<v})=m#%-0pXk#jvAP!JbObbZ*>H;QrR6
zj}DPnR5pAw=0NqX`gI=3y!dbZi^A!%bN~^*yH4zD&~7H^CG%5$lncG~c1(p13hZXu
zep73(nT106J}-bB0S~SmYNo+uL%WVI?40<B)IW8HE`+*GWuos-)1cq#uSd2i7Y-e%
zi%U8qj0|)Bs1SV`n4O-RV@cvh*6nd~g##kE66ly+{7n}$iuXE)2=n5>CO`h305N=H
zQSYa+PZ!uiMko(o@S)m*Od#u82}~&T&`wyUf;#zeve9NWhj<J5%)XJt;vkOYEBC2T
zx98eMh4q41(i4~wlr4=%hwa(F`cUD^uJVxsZmZnA|Gug>TNY25E*IZ3q(YCw7Qcpz
z!Z^R}%iPg=c`Wugde2mz3TmOItS(I==+2hXGqy$%TW#v|yp^etZ0bGFP8Gv!dZ1^r
zg%VD>wrtg~p+b<}0sEGGaU6Y??D77*GFGzpr_EoYg4^*g4|g*pQR}+E%!6(f{3y-s
zo;F4WZ`*uU;b|$%DyIHTuvWvQ3wz@f&gw$Mf0u6c*T`U#c8QzNb9GE_Cl`Oq(SWn_
z80)$sIcz`s((tLiCdRRJ$lSU~1Nwz3^WI$wm{Y%@r}3E<s>qrOIBU|ulG}=wy<ZWD
zUFHXz4YbkYsP0<vFLWq_$*fnAN+|b$OXzWd4qgho+EjX95ByF~oSMv1M*WFUZsgO&
zNF(mBgE#d-)uqWnw^0SxJ$-tiPm6|RMDnQ@IR;=9#zxJZP(?l7{Eqr^8b*3p-4p#}
z2&vY?Zwf@!al;$i&7nGUtgk+jl&xe8l_K||%4izsr)n9u<_sOj<b+eEudIVja(e6+
z%r((lh;#A%eL5bfSbwB(tttF|z;Rz)PYWOIXwiCikB&Fi9NN!(!whN}n^tymQLu>4
z_-zwF$17gh9tCO^u<u5^V`CKsGs-sp4W6apHFA&cmZz3*D|u1;x{Ws08|?5H-%P{P
z*FMbDi34!G9uZ8xt&MrXF)pV@srW82#Id^$pkO*~!lXhQ+m7td3GLFxsqj8&KVJq6
zGV6Ev-qS|SuEPA^C$&)Or6BM9AqI3N+w9lgsEvoea=x+qu8y%QVcbHSt$=!5cDjM2
zVA3z1-6^W7__HuR{nBkK;E3HBp1i1q+-<v<Grg4XacG|Pu{tZLw~Q$Nv{nm4zxk0X
zj`BG7y|<w0lNE4t@t8XO*1&H2YN;g&DI9ssd9AYE3Jy+BCAB<I$D8dL=HoV^c)awp
z>%J^2@H;BxRO70KJ}ahk=Y9zw^Zhe_qV`(>Pn5_=@{kHvJ~7yLR*4HQtJHj7ma_ua
zA32M=k1AtiTG8pw^Q<_Qe$f9>9Rsre2#$p_DWO%<?y0Ch3uI+m;-v6C2AEWiz44D%
zz@p072PGdT$ro-Fx2%{Lz`Wh_pVT%v43s}!qpdYa&K?U9d2<8cS=ir=H*%#>BreiE
zbF72BN7`v+Y665Cos{X4mP7;d9_<3{Dl$4)<jUKV1Qec#R=!g%hV!Rt`o`;@5J}o;
zLVL3<LCY=ZM0=zNer8L#Kde(vG+K>xq<*jfn<MkOJST*(a+Iz+=hZ@-9<uQ~!D;~u
za>rxi(gg6sd9L%s^asLFYnRs@Q*#LWEWbPW3oqUdbNn3`@PVkk`6_DLF*7*!l&#Oc
zg$tPyLLYMlHWQo8&F)r|n?gs+7PmIZwaBDFaGs8;BhspW)xKdi1tGp&r;a{h$Kaqx
zvCEgM2u|mMZ(BB*fS&UCD%Av5d{|m=hT51(gs3$*n`Ev7ODFdW8KunVt9j*mf@VH>
z#;vK$dfpfg4fa~6NHU?Z=>xr-{%R8L(GL?ljNy}%@sp<qmdKq)7=>fsnn-^?f6MtY
zBM`50s(8<{KwfQp&Na^ciCoV(G`4<~Q#I29_hoqJNT2kUwjh%(Qq*5abt>8rk|O<N
zdVT(pwoi}R%9Qt#Hq5V+duI(`6T6m$9On$F#GCN-Y-c}ta_e6H!2<?x_OpFz=JXUf
z?dx}fU>PLSIcw-ceXHD&WS3=Co+6W?SKM9nhe`5|7^B`(AL4UHF5iv$OSWKz^}^vl
zq-xR8&Y*5RXiUi=lePYm#eycBP2S^Vzhm3W+TD6UHHn^UUYI1~e818R#V5&_d-e~j
ze$e4|_uKL>tM>;wIj2gx|B|W&E{^Mi=x|P|T7O>sFM0BN(|}6pG&vCRh3>pSgA<ks
zd14WN$u(D{GIQ_$BemaWE`5lh!E9-k>XXI4<jgYP^n;Q)GIDtFVuL&l#;=-8e9N37
zhr7qNPySdS)kP+D`3C92#@YVv4Tq-5%JDqTOQy?Y{zvI^QrT3Pa1hB7^qV28o)#Gm
zcrsyXs{~(luMXH4X!?(x`$t}E{&*RlGh_B?_11$bI^cXdau<L7EUD}Jl-pOE6&(dX
zM_L7IgZ#<4R5_D*GWy~vvs7e5U771;LDdwf7|9c{?N}hUbX;=xJ+{jCj-qXP(iCVO
z^}DQ_vqXAa_OZLNbuIQ;E(Y|T(t^*_YLCU774pTiqzMrZF5J$cozXX-2?OhgQ}afd
zuz}_zu_J*84FxjyR=H_{z*zpVe03Hqcp3h2bb${qM4l-WY1e>v%~QX&o@K=V#TnWD
zW&spr)9!iVp#gu4Za!ozuwm5Ykb=vr{nYu;!ChBI)xqPX>1F%d9JqUbgk1J}Vca-f
zb-nJYI^3+18oTVX7B^&+^6*^{MXFsiZ_7G$sJUHa<++0ki~h4cQ|v8{E^>|2o2S$u
zWP^x|_embC+y2fXDnJrnZ2mUsT&)JaH}9Zd3m=Z8{x{~6CXE)iH4bQIs==gh`p##M
z1#m+7umc~H9QM0C9w|;$17(j7OVvU`__`uUV8%fK{Vy!Jn>|nirdEfR12=`yeXpAP
zWZ`Q5{~}M#=u`vwhHjP;Gf~`aA7&b>tBg#6-lukHtHawTo1!Av#F5e;{<pC~1@n%-
zlD?9o4m=F);J`@<JR#0>>d$F4jQO6yvEZlyo>vqmN;#zQnXj*?zJmtNUf$!PsHO>7
zJuyuDR<d|&J4?i6iWaio@r>m#(}KhXi^5IW@+dK!SEDPdjazjqw3QMlVB;HnM?p*x
z<8&^mdPz_*hK1*kh`tWQv;+%g9#BH!Mo;h<Ck>nZMbT1K7t%5%6i>D&<H-cypP!lO
zDA0auZ{l+rysXx?@nNj?qU-NX5022Wbm?4a2bUh~>DpKSv0M#>{9i>EpdNDXqe4uq
zK9ED{uR8TLa6T?>f*z`mT8dd-KP?TxV9f8}@_kLLdt?71cR?Q`Q%oC@rHx@Q;dQV*
zF9q9=dhFcdXn=QT%ty^-O~6t_{%o+DHeUapx>j<h0Zxzn7@aUN13GLo(Kx5Gnv)+f
zXGj>}(rny*hOY%IKIgH1d7O$~ITK6;7xi(7FWfOIhJf2e-xFI5bkR|>>(Z7CJ$&tL
z6Xe?r5YsdmX#7AIzn1s2Fz=_MTlZ-J%~z}Zy;ij_*`|woI$fOuSI@-R$Ffh8tw8j_
zkqyiRy7<sKMP-AxHaeP}`=w-S4Ngn6kr|3EUcQ(vGnTG_k{37X{Asj?bBbQ-mL60b
zeqt5CQ>KDDx5lpbQ&<nJHCpFKK?kMoY(3%Cs(`Po4RgNQt_OXV*>l$Y6tvu)<DRB2
zg^`vn`+U}~2aB`slp3A2FlNhJ`ZEJz9MP4(EhfDlqO#v#42ajjARF7x{6Cynx&7#d
z{jJt;qcg3*w?qw}-TV@jExk-~*MDbsI&2MR(`+@OSM!y5eWJG2e}g19lf-<)vK9Pk
z?5_;(Qo_ZpU!=<5E%9`zSVQ=%6=a-nG}<_+fK`K0t{Wys33-AjQCwia&Lde*&Qj$t
z!6yAgZqqCwZ#TBDID`R7Tq_q&-;+Y8y=?+l->eXR6nC39BLLUfCECAj5J$nj?v;i;
zEYLB$(seihph&nU^qq<bGVjjhyUWi8B{mbM6k7=B*?G9P&{7b2&o68dm0|~<1>Ufx
z&z2D6CFL1R;YGHuhZ@%AvV%?Y71`9^79jY*l5yR2EtdX0Wxm|T4%CBry%}pQAgS1U
z-KSAj<nEbyuz_TUClwh^_jJv{x#PE5+SCeZT=P27CxRVHOox`__LxDbm1@3s*DQIe
znT3c~W(TtzYvrg^Q@DMpp!(6dNwO-z0(Vrg!NT0RCTf=nd@NQ|zxnVN`CmxfTFo77
z5S7esdP&6uTGM(9$K}3}ud{>td*@hTm-Hv*rPcnJS)|Fht=dR_TUl<kdB_S%Ld;eC
z?^e02GvV;@NFH(5B`-KMgcarrn>KCIG=_jdF8_@4ABcj6YZ2yKSV8Y)bFKSTBPc6*
z!5ww=EAf$T@HW_)6|9@M{C-RsLJ9whhm-D4V*B$6LzR835b2(~C3mkOoZ8BK^hNS8
zVONk4J$#oHR8<7b4}3BJDT;|#SMnHfvnC{KVTKjFD9dweHX4A~ljDxO%9F%%j~lx^
z53zwu`mr<a4f=p0RFQc1DMB$?B9@7V9iBU;%x?VuKh@*imWvTHgtUXc@|Q+-n6#QS
zXnC&(UvJbqDcqbT&c#;8PCVj(DmDI{U2b}C@xogVt^9dnAFY_<Wa%16X*%C>XowEQ
z{2Cufa*;ScCZ725=UU*8xt4S*oDS7XOjRP^mx<l+C+T-BxWM(uovZ`GbV#dIc4WT7
z1Q)WiZ<UbTApDZi#8gBBF8`9DxI$(yPHb-_f_Pzi&Ye8BnFgLl_j&w&u)vr)Z+3wr
zKLozEt6D#<3zusBgL5ftkWl1vV*4Wj__0FkwzJcPo9@0#L6=wG!y>Rt>AfKQ%(^7{
z^Z^z0VvlllEpb5N@J_xjJi>6Vqn_1KnhK{Qz8mviTMLKU*OV9sh(O=&J$x)FIuMoq
z@4X(u1(JVa42AkdA%u5x`kayu-2IYidr^=F$^-YhI-C&)kHIOGD^=RSOuG`XiIWc$
zt~<EAwv+_#KEKZn`?Wz<-ac(yL;$V~*Ew!hmWIJRcbb%jHstVjCEA+_Lc)$l)hwzk
zOq~4OthPu2L*e`{?k9v+_xsID)xGl2(=eJaJ4gZMJrNeQEy7^Apm`zqn*way``r4(
zC<R{1N700=MIpScwK!c#35K?BVObQ?hCefdUD+SR;8#HK+mMsWa3JT2tCgEJ%v701
zJ~%A_*O%9^(FatZcBoJ2^c!v9ej>Pw#ZC(N7sNF7`Kp0bAE{>Rp#yDgrzAw_GLUq~
zEsC5}hsluOnVU+hy}1ALrLuK$&~a|K;Z3Y2{9^6X&63rHidXVM%TxsrHQmMih(>|Z
zi6IwvO&SD5)LlHaNfDyhViH9@X+x=?o7=H|8u%I)7}=dtf_?Pjf2~KT!0|Ry;t)v(
zib`jc)Kg`sw~af}vZ4!Nx7|zmNj>mrSGe(MTm=#~m-;WSa!!|X<=VD>eYn?Z=^RK`
zgYz>kKc4TR1Gk&GoV>Onun&is)ds7Bd!L2E-d;Lv{T`FikZc46!qVH{=V*Xl!)NcW
zpa;s16t#Axbx<^D`Yz<1Cak3d>&b@d!R(7V?Yng*aH+SUxUEYIz8SJ!sy?Cz%pCK7
zv?9#F`FYZx%Wo;r#eKf|yOADzaMT#GGPi(YaiPt8iQ2$o+r6W;k`BSCo||7zTfzq~
z2`MWr9gunSU`sdaDix1J+ud*mc)bIM=c0AMr7UZIB_9pygDTzJg&0uIR9BbsPzTyy
z_*f^_>44;+=8`;;0Z$)yVq%;QxN@_WdPq`0gj@8{kc$=go))<AfvN*q-TDT86b*<^
zTYkS#Z3TVn0+T<*X~W;t5Pc6xRZwQT{o$H`HRLLa{CreQfg}C3r70_l@M}FkD`9R8
z?PTsiZiW{4@4BDpHX#ct^fvL(4c1Vp6CMA4k0u=99~-DMk^mp$OVZMM)?j$KJ#x>Y
zI`I4U1awUbfpU0AES=RFT%6ZuNu5@MxZYS^op2uLIsRMQ@ud|AasT5h8c~7U(c5*=
zmJJk^DV*{FRv=Zp7-F+k87u`orR}rki9qh8L@jnJ7!*BLDqN`u=c?kYoGeC(fUunw
zhf^8QeMsdqg`xm?SsOhnc6SiM%6gSMH5gEMQ+(-}vn)L0I<IG(SxOFl{GEU28Nf)+
zT_eXpDOlh3Y%%(F7g-r4EV2s#GXBPiRuqbZ#c+VQN%c>1hrM<d^%enUUwoCrltqDO
z*)*<%`kOqJ{PRuYb4%d69=@`+UI;uCGppEQM@d;-S;}Ci1#ArXHWYYQ0A78)gWHtH
z$yZG=j7@A7uxX`RHpPh-vLjNfoIS?L+hNBJ`WTq6a>=!$vXT?-=que4kQ^r$&j0H-
zIba5Be`SQ}M00=?cbevj=}|ICb=sjU&lCplcP-Yha!4n|S%Asp4_Wc(NoVee2^@=M
zuc=mKhKIF><4<e+CPU&+^1d`OfyO)?j*qXGh#LC9&6t59va>2?zVPBYNUPp$^u1}0
z7{4k|HyJxX`u7g_QoD`e`mI|Og>5s$k>p~QF})w;Zc@~H)W{g@Z3{AeHvT0x_4m@Y
z{`gMve7<2{aMK7>ivGLK_h6hTIL_;(;P#D-<PeWnS}=qiUu6FNS35!kQJBhwRl7)Y
zOQ%n=zJ}1FwPow!jv<2m@VcHVgAVfUKGDR04+db_QS5gm>?d*Ov2+f{)i&~xomK2d
zD+AcIueSDeLLc$TfwBJzrG;ejK0sMlrVqTHJF=T)dWrZU^_705M)H*Y!4C)N`tU^4
zUw44Fo46FOAY~O=LuwApT5Wl(2b<_r)_>8TiH>&mmn=~)$?e%u5)D*6aL8BWSeNpN
za7??oP`Lbzl)TVuTU<;BqvGus3su{QdEI@fQWx{cbBFfeUlTeA?)`YDQE`>;(f_#?
zbjFiU8>b~gYiKZGFAh$N&BR&m!8K~kR|xKOJ!ffG8YrEU+g$ANj)-}vos@Dkn~?b%
zEuHg57mDSxbIxySB;xeWR;#ua5j&HdrPltTLT22rl%iMlM91fSHyq`j6O+Y1S`DSB
zaCF^!uf^Ot;-c9%hf79Pg#Tk+S&ogXy&$T&`uSKbQT*SVR|P56M39b>o$G~FpWiJw
zADU20lsPtfSR~XCPN{y&Q?Dp+4$~eqT&yMXi^`l566y%k7uC9r>=bZXuzw(4TT28A
z9J|Gp-AL$IpJXZAs0G{XzuI~_))Dk~wd8P16JaO%w*K5LO(^%`$>$NSC;0h8{3@=u
z5L^q-=M_g*{pPNE$1kadRo(sj)^2Gfti{sw4_RqI=0elrsCOgrKL7v#|Njh^c{tQx
z6vnODm$8lA3^QZw%gosM9@#@hsYDV&lxQPKmWoKU6NxA)k;+mjCqh}WM540%T2PTT
ziRkCgd!GB8d++nS_x+rg+i_P(nNcsnt>C~~c~KJ%m+HrujJFY?S_khiSucs+Qy2fs
z|H}Yv@pSJ`<sC$F&E;TX(<@?1K*iV5p8@qc<lknsoy5JEz88YkgT!6#kXfy#bZDqp
zOE2N=CiY(qA(q*{C1!G}Hyg6)us}L7$z0t-NVPJqC<%-ZhZnvS*cQ_uula5Q`^gJp
z!<#xn{=_H|z39ElNuCDzru=t@0{V#WZ`&U#SiU2a?F&nFvozpv+vuxCgMPwNZFh9B
z)Ca;VJLbudhz4xpJf}(+3=kdTrJKtY#)$QML%ZD4)j_#VMD_62*97;YeAjZX2_n?i
zYGbIlIxO&ytxtRPmJnDson6-cnJ7t#Dx;sJLPev~85O4yqB_87lh=_cf}v0cacWdp
zp0{PPwt19@>b*=q+Bi-0%$B-`+@wHa%QKa)5$}k8{Vi79JH8Xc6=(N;w4uQAgP(^)
z?LQE=wU5Y`*!?7W{p_q4O4MNA@cFU;Q$Vc0;T2=Vy%M>DNp3U5y-@zSy#uOnMW0|c
zrcMxMw3->6j9Fq>Ft^%QN)^KC*2`}3ej#>{FIo<W%oD2|J2p*ts=&pPlNa0?rigx9
zcihprK$IQlmkG;NhS=f4^nV|w3AekV7R@`kKrihdm-81T@bq<ml5plb!FoPv>!r>E
zf0d+JVvb5sF?0N>Wz<h1X>)HBiH{GYo>O0kUsHq^Hff)iC(aNucApgKip$`ykguK-
zSrHyqKZxhF&Jsd?vuxWiLAbIkaQUMw1@JxicgoFko-kj?&bT@!4C1*>Tg}M|@UNH0
zK8&(R#JqJX)awz02f8fJ*fM$OI5^))%I5-M-RGi=I7vu)>@;2BDG&9e;IrfFc;LKt
z2&7v`!EC39?FmtNSiv>s<VNtpnmi-fe5MS<rtH@be@ljpoa>(~e3t=jWuWuI3OQh_
z{Nvy9j0|P%k)PG>2!gO+1}EvNJjC-C`b77UA&IZ_Uyq9jsCba-bU+DKMD6<7BOnjO
z(iE;!3~}(gM>kkdRt2jYQ^J!W@{nQ5dHSbB5;m~6Bz`QQfToq}&F)2c$bPiuMM$s|
zthcWliuYEBfVJGSf&B^)VACZf<|zXS&;3osENH;7s`k9Hs0iW9&aC%}kc0a)zqKWH
zjHN!|-gC*yAlEa|xA&1ec<z}`*|3iZhMIMeLHkufB$rgdc2I(`&KnIky0jtJ$M;Lu
zehO^uF^I|IQ-#vVu1>jCdf;Jgb54R^9W>&EJKEwY&=sq&-{G?XTypzw-OA4zu#R!@
zZw*-;g2F6hi`|W2`ap@Yp#=ks-#^L7ZqooMJTC5CY7GAEuJQr@m{5HCx@YuxIvAc_
zE;KUF0-36NW6@5!@Z+#o(Sd!MK>GR2$=i|xr{AujYls`dZ8?$dq%B&Y@Nd_rj&&v=
zY(g6Lwl#(iq8o~uSL#3>J>+Gqr71+_8u<y;v7v6WpLnT}9vD|g&)n=ag;fO)UKT~0
z0*f)5aDPr8B33$o@DVcu>ip*4${`l8YqVU0>}CkmgRyGSJ*L1QxwJC&S;O7z%l6*$
zhVazI@7NnzQ`oTa{?ST%fXe0#b76@_Fj9VJO+YsXTDBg3@Uz|))U0;?4(T(38@H>Z
zy@c2>(!2U2Rmlz-m)mZ%nl=Lct=px}cNoF*icGr|4)!o`osx8XX?>diKyqf3K5!0I
zi=Q%d06qUmwGG>ifc#^5XyqUi28s{oP<tI<yio0rQKum+Ci{%C)HUE#ZuenA&k<(-
z%JR(rHh}M#S3{#J!K$MZXWR)#2&j&6OPtYzggGu3qDd0wPBa{=m2!lwZ;yZTFV_Kf
z>DkG_rGK+`b8&*{9S1PAkRDva(E|Uq%3clJ_v(Gtcpn+ibAUNv_J))K2Jk<L_X@-L
zdb=$d4?QyNp_J@0uE$G*A+gsV)K?2)a9XZ<(|>jlv)8-v+zu-6WXRpWtu2WWFLqaJ
z8QDR7`~26`0Tt+hga27jrO}AFx|o`{9A@pGI`_yZK<)0Tta3A1e1?f0I{mhANlyRJ
z>I*VpH1nSm<Dwka&X`?V<k-Rm_4cHHQIeqS8?s}19~sG&dD^r20MGC6sqhj)@VWoO
zFUABJsoEtc<D~%Vtlu$J9C@Ik!g0}wB#&yv3-%Qh0@fWc)i$5_O@z3ZyF>`cW7h9e
zH+l_hmV9IAeXigHu}%0#$<PoPD@CW&-mbQW5i{Y~Mw<pgj{fFG%~dky&sflulB}TE
zufLjc`gOgB<;m*eFfs--Ov_C^wgf}t%^y=tr|NmR6&@tB$jBe?RH#qf5~O(qqAH_j
z>QBc!SUw{_#?JiQ8;6&4IMseMw@YfFzJzrB+3PQIsAXLnKH6#yYMH7r7RlU5-Qm8!
z`hy&bb{rVyH8Y1jsl4mga`^DE%lF*BKjkp7+98!)ZU#R)HeUL3eHl(f(=)u4$ymEC
zAaG3A3@%-In|g6d5Ua*_^^W+GQ8Z$QR?Qt#@XF|`e=8({rqNT+I5lK^%A3;UzuXk~
zO)&g0zZkA2ZE3uwBadxC%iZf=nZQTk$8#qp#Iez#W1HuFc`UoMCHv_<6G+|^Hl6Dy
ziIt9{i3))V=%LgYm!@n23Niyz33enrG;v0&g|3K`j6Ii`tsGF9l<(WZkirdeM?3_0
zl(4mOVPNnO2Wt5Y&JGAkqnTl(VEAt(<e8Hj_-xIA^P;b6OsAzW$kJ9Qm|q3m;uURb
z`8e=t<JyCVU&~;fYSgf^jw<dE$*;ND%Z6~SRqv8JWU-z+IBFWIhN4v`wO5q0LCiVW
zzotbFMc6}mnVTs1oz-zu@e~`X&jlO!wUM!7^tr4jiHZvuPxS65utBmST5QjNJW5}v
z`F89%6+`#0KH3?}2Ho(J8_K^cAZtsK1oMnK?mWNawQwREUY87~M3a?paQ6$9xBeO^
z_|5qj^$Z*2B<>4LI4R>$_5C~IEE-0h=h@PBmklP~)8`wLRZ!$}Kytev9rs^)L#}<t
z1_P_6;NVtOj4P!2HxJXXXUup{I+X*iBjQB?ViYv)KP7Bm#lYEKeV6VC4n&uA*;d@6
zAmhu}ceSIMcq=PM_<I`%ZfwcRl;1|hhyAI(%`2H$Y~UqNH#dP#)Z1Dc71c3kk42n?
zh!)zl%0+LfHUZtR#g6edbrj1Ov(l*1Lg9-Sj=I~Kf{a17`?muc=xE|<J?gHF+n%4k
zpg(L1uFFIWH!^8hF7eZ*qE#DP=DTYLQq7=d@m2fN=QO-`Ec8qVQwPH%WEDzm%)uZ(
zJoEZ?Iv(dSAlC-!V4>bC=deX{SUAKtx%?j;^E739gQ9h?E-&g^WRnH_kh|mbD4Bs}
z@gB=k{dG`8G)6Hk%M!LLW*v9=%|H_`@O`DMgPzkoE6Bc9z}B+s)myKLkACf^yWh~p
zP;FyLCe0c?wA$BB6=>oShs+hLM71$a|G%J1@2%mGS4rZw9!-pF*`xZ>Rtt&evLF3(
zY@lvk?D+QyP5gYTZ%5cFCjNPFs4~fh08_WsA0t0%;<o!0C88FZ*j~LM<xm#^rC%dW
zB3d+2bd}=DMF9prYY{UtW&liX2~MMDXyS{VPmb<F8fFK^M$N4U*w%H&DA`OCqrOsp
z=!R?HGofX>N8<pFpSw7$+{VDQ^5`TlsgAwtlCyHp0F>NXXF_peAiF@}$51r|clNtD
zJ6r+?`Yu{*UO~shBULS`9jbV8Y)H%dBEWb;*0a6K=%{$L;NjI3%J?<NDWxD2z<B%7
z1+~>Q<d;spesEd=cP);7q(lSsyRJN3kg0*ieXEBen#riw>)|Ts1z>gjQHSqSb-ewb
zs@}(LSuCkNXmmjvAUO%sa~G)SOl9~;%gG>Xg<GWccLJE+{DV7;sW{G9)}nPr3RiCv
zt-F>?!1QiOQvNmyil2A5T<J=}J!|hA=n^47RHU`Y*;Ng{t>5=%#6lA1bk7~^J#GUb
zAO3Vfw+cRxqPvYf6vx`YJ9T-2Ho#K<dh=GOGVc7Bz*-0uLoI4EsVBi2>N%?e_R1)s
zL))s<9XmzQR{3Dd$cz<q?K;-f@=^hPW^CMio{6A!k<!TDa4Yb1c*^fuDUTzao|)V`
zMQ|cZf{Qt73H=lJM&$|_U7wtuo!cOSUilAbX6r5C?xY&;<ZU^mZ5OfFlOTewzR!*f
zJ+}bvA5UKLzm~-)?(hq4!y;&OYPWH@vjwd0S-CA#MHctZSANut6vg-9n>5v%%psdE
zKIGMY8Dx){{Mw^0hKoKH4=&rAgUSJ=xG!I&QMZ#XJzP#4Mcn5%q_vpAleL%rC>@f<
zp|&IZd~^wXF_m>fYo!^aB#TzHGNf_Nd2Zt`9Z76{#Y}8{WeVQGcG7D;N@1^&i%IQE
zNvxl&dUGel6duzrd5b@kLhG_^SFKKwFfxE=ozA=oyqIwH^|>yE?66rcj-M1>ioMbo
zecA*h_%B>5x+#Uq#bIX0Eu?X6=;-Emh9+>M@UG|PW+_a*Elu{;ltDYDU2EM74iIrM
zk>sCJXfQRo&`*=a?$6-n9mj!+T@i;uOr-I?S;OAVEIB+OV)|27hXYUldsMn`TpEMJ
zB|_J&A>)Jtd71afk`I?Z6}a$Q8lODXJ)m_&9(i;7?N8^iVUND!FVTH6nEKH9I`K>a
z?b9SRZ2j4AsNu6WTTm92v^DxB)s*mPwo1=u9X7;G9_F3BDT^!GHUEVkQ%2=iE>vwU
zHdvQxe6tUcL-%X=tD0XGw`zVT7rtdd-uCb#0&Fr~7iv|yct#Dmc)scJHL<|O?&~p{
z%o68rFFW0Qfr2fsWENy<SkSys_a#z50sW3#dfBp@idR*CSY5u$f`(;r>ZM|eI9gz}
z`rKM|+!T4J>&PP(EL=5E*}_o5`SF{ROe+n%MW`1Q_OW1SM)L)?hcc$U-C(AyMZ@UO
zUg6hsERcO(98`H+1*gwsbrmbnap>FY%`ygT_@4Gb*yWWfCLY^(AW4LQ`;I+2K-<lR
z2m35Z>IxK8bMa{ZInO``J(JgMEo`{_rSsGJb_)8+|8BcIrim26Sd$Vx4&>sFvl)k}
zc;WP=HDj$zB+dsNSG&RiB}0eh_Mnc+#0LhuPzw*IOuSyNZvs|(r)O?0sAFZR5&xsD
z+IV8iT2+N-CP1^hH&uII14pvuzt~CZVDPkf^20r*ApSN}>)Re0GPwRm+7;^{cf#Cu
zWkWN_H%idHtVPFCnRag-X<aPuQf2S|V+JMHE8cYV(b1mMx+!m?F5W-oqZ<9(99pcR
zL)`Z<@WXjylj^;?IIM6JWXmkzUb?LRQvpqU7ta2--Cq}Ne!lr|_k<;|3>IysmiTwb
zgSa?C)<svjj7;5KR<P+zp?m7ICMNr0_st7BXu0WF&bWs)gy<W@6xuRzXWdMQ!GtzW
z9(nRtUdslClfIUgMKiJR+|>9Ler?R)v*@1qzT``4W_Pb;F;RTp@2mAsChpUpb8fg!
zz*%`xnnOAhCxaH#rtfQ_mUNBI@+JTGiDex49?V3?4o<W676xj+Nih!$14vz^KJ`n3
ziOROmjx~R!p-Kebse}T6v^2q?ZH=0U;wp`uJ2lY07pwbP04}7Teq`jNiGHc{w+}v1
zvH028P3p+fe0$KR?p-AVHAhGDQkVR7h+VV3Z~|a^`%Gf#G6tqPXF%P!3U+rY%X5DK
z$owvqD&s=Ooz9OIB56t(@=KiT`~qM;KX~(E91SDxY}ycTQXcuAyN}ja0UUn(e2v#t
z4HQkY2<kSK!_I;ci`N+d*(n^)`6VuVaAMCXs>tAmM+dW1HvvpV6hZMg74H}A&--B~
zg=(TV+C=C8w>l&!b%Ios*UfQlER#gP+HP6;b7G0J`3KkPQZS##aDZMWj@^kq(!wqT
zJmhK?GcHrb6#vh@3;RV;*NZfv{?G<$=8jU&N~++l>;8dG4}`Ii?Jgd#YXe8+8On!_
zDdBNS)D6B6A<V20b$pX;4aZ|-a=R52aV(no_3~~(oNgeARPkEFWT5f&+l}&g^5N9^
zq<#U+v&*?@9bpCW_k^<wQpvbhleNqDm;j!o(g&gjEMX|ss6S<!9Hu2~*_@UjfXDPh
zQj{GnK~DUa>|n4gN{qT1nN|s)d_+X$$XyFS$>CMS2{LFNVMxSM1kosm-_w?{q}%Cq
zwc=`N9N#Ff5m+aPm!EnklwL3g2f-FqA3<rXIWKVWPqGmDQp~e<NSTA>46ik1?~<Q?
z+`-M+EsTqod5OUcGw7qNAJzX$!b+opUz0~gu>ZImpTSbDy`pCL@=hKJ6@8e6?RBE)
z_b9dKYL+Sdz0D)@%8P`&9(SkM(&8v~0crc?P2m&s?1^U#5}J9+{xdozfscOYyAKtc
zKu^Y5!v=8@>fO?9Hq4Yn2dWZEn3zBT&m>DsjD)2%QN262kuciPqIX3*2VzRs@`+GM
zSWNkqn6pL-#oeaudO|qhp)=pdT0z1uv*|CCS1$1?TjKs#K@RK?4wO+yC1Hn9&0Lzd
z42r#1_xM%82ECg_&07aaxZ&2DmW+L}`1r?&FtLdZ%pYqP-+~mHUfA99_KF-j7Cf<M
zli2X~*W9K}52Wx~>p3yA@g;8C@@u=avtXyLz=K{FX?z>hvd7a#0Y$9$t8!(sfLHnE
zOUEzLxcbrJ?#@z0yjq<l|Jj=bewnhACzoY#`xk>!1Ew-Y-F6x*(__J!@9eOxJ7n?U
z8Pe&;bt?GwdeFB&!YttImW^?6lf(BuD@RTQtKs;Zr(e!@W0)WHvf59Ou}`soSJ5d7
z+WFX22YoOG<;xAl%besfvNu6OI*y8g{>`aQ?~UP&Y;fy9fCBC<m2sMkP)AA8Uyat&
z#&BWcUO??BMWj4Ce9AaX0|P#EG^}1a_q}?#H|ymRNB(Z{joVJcfkM?Qr&ugFRI)Ma
zoURJ?rj^!x-c3g}@u0)x9ZUP01mC<oql&|cl@9Xp3>2N~m-({9uQQ!boa&cRFg@s_
z99OC)GNSUFgk;&EWc4ZCt(Afi&Fe?!GMG4M1UdFc*dY7$%ks|CRMhQdiQZ1vLh}~q
z4^~1P;AfUlZf#M=DspBqB~BY1TR#40SI7a<ZHCidBMl@hh3NU-I%vx^^w!?p1loMr
z37dIn_+l~L{<n%QO4{w{xh84~w+eRXs&~;a<Ct;P`37CY(``*KWD1q5L>+ar>DZ<?
zJlqU=__O-+FAX#UUfK6A#Md)$aPhe0>`6U5e8EJww89($KP~$$BczG<pYNvY-qOSW
zq9cB+y=DQg;{4n<UDw34@D)v)&*|Z<1o7RUN-bgTPHp+T$rAtC=W$`Fzw5g?v6yRC
z&`SH~rGA5n*Un_=tti*UF#W+@N3K{yrl;ig)x265w){kW?T`)zerPLnKW_s~=HVSl
zR$6$W!14v9PaBW=gcJ+zC!k=ab0J`@7H+RK{@i#@3sW{+T*y}kn6SOyywgPsb6h|8
zQgoQex8ihN`T+o!eN!|gB`wt6k=UG-%fP3}w=a4%0Z>e%xdxvxF}?Rd0)D5V?RjD@
zXAwZzxAUULdL}C6jJ@Ywnk(MK=fz|*Y{9QVKf}LC6aPqC?JG&5VuxChH^<r*q+BE#
zTgjSOe*S0R>C0-k#_n6()N)&J{<%?OxhDe`#xB|x1}LLUZQ8~rGh4W_t9U?RKOM^!
z59Wz^Dd6GU$!IFY7WQ>B%-?0v&^rB-{j(!-xIL6Rv|?`Q{y}F>TjXn?goKEb(8AI@
z`(wZmS^>loa*J}VsH2%f6f35lgq)b8x@B1a1?yf57~h~`&cc|d#YGAHzM?Gn!76~8
zQ-$R2+Z41g^t#yMDT+zMr+s9E0783tk6k#VhX4I1@G3Az2raVfWCG#{a1ZHgn7yWg
zs&OQvnGgX~OPsd3GhzdOC)#xaCzR0KT<pz>JN$Ukz1Gyp)&@LHrKgi@6>;3|Mv{9Z
zALbVBiyyya4c@QF;j&foNb+63T<H`q`U!%9@S+vGS<{fs>qy3bzEPXZ#CVaGK_BW_
z%A2R?RYC`U$zsvpww;A9dGO5%&jVTyEg^GpuZ7GL8Jx{l{pRtW2M1s8GDI~?_|vX>
zbFfkxuibY)8m7mKshwIU)s8H2p=CJtz#}PC8rl?Zdz}}X8h*@HOq#>htlosR6C~8)
zZes<m<wM1${L_!U&4ID*7Eij-Qa$XHb_#<ZCsz*goqlEp<;izsDd!|HN0Z)rP<a_n
z#J=lVXKe;dRnjUhIY}f*XmcsD1dy^#{H|%0DfCwgNNM;>;FpXjbNNs~%wL(T=xbyO
z<ZvgMxMpz-)bG5?e_sfb%)gI~SDL`4y}Mq|`HEv#o5vwdrU(X^9KO$MY6A0$)~Yqs
zrJQ!xu`2MkD2iM?^t=~2@aDPc?s+M3yz@d%Q^#8zEi`8eQ&({yP?~br%|INtEPGLT
zTU-)%4*reuc*lm1>2W;~d&N=LF=0xdi-d!x%C3aQvB4+D>_EtSar`v-TV;S-3N@xv
zOeB@q@O8aVU;F_H?A4*)DUgvy_ceXgGxaP8DrLH;sYv1(xlijd%w@1Hs^gPu7z^$O
z*FH4OlEje|o#oY0OMFTFZIq|Pg5(h8$HHV1Mu@%tYxYPEv$gyKW?vY?W{nMcRh1-+
z3YAkZpvYq^!HRl++8A`zS3<bI6i%mF?!BC?fWq}oB{M$8u$E+OvqwW3%k2G94l$Lm
za{TAk0bOHwo}4d5pO?lW|7@)zUCJ2SRNCbxU<@_U_Dut0GMJq9)5qwfDwdf%vS5BO
zg5dJmjL8XEG*%on^WspD)^uLi=Zz5vwi9lZ++?gG-IDXvr()rY`o_suMxeO)1l8X_
z9xaN_awsfyoH%n+jq9Be>=F9>g|u4%t!hMael6F)|0I|(Pv?z5XQ6ZZjdn$J<sQ_@
z@ulIlZiS#snlZ#t<=?bfDx-EUan~)Ljzvzw4cGjZ-aBRXx29eNdt9?FRb62q_r?Cg
zoi~hup|ZJr`Fb_fSLN?->eR&Ri=-3-Q5Hm=^?&T0u#`s_Iy<h;GBI)|IY=dm1!P7e
z&r4q_7Q7QJzpA8-q<2@kt;E@&)4T8JQ9>Qhr*MxMvvklT`r>NGN;X(si~knE(7<Mq
znE97xx=a4lI-C;D0onaeKPpMk5c6mu9&|mdjNkq7vDH#O?eomao1vjhS9$P*X+50C
zXbI+_nL>N@^=F9#bUYB7;nR9bAFCL{>4|D)Fq%;G`TZRRuC#9J*5x(8jm~l}l6B3&
zIC=#&CQ%dRk1H4OSQwz&wqa2xCkxn`Y5BO&nu#af9Kyp5m+Jq8efk$>2@N(kJc`~i
zv7jO15p`4_zggCAojhp;e)`)lwnZ%EsP`V#(k}WK`ftO%BURRLR`JF4%0VrB8rnnq
z7@~)4JX7`Xxef4%Y^d0yp^X9YamntWi)mh64k0fI*q>>1cHTi7ePdh+?N{2ExA$FR
zX8^#@KiaqTKpVZj-ShV~)531Wq8Lis5-;pdS*wz?F|Ph;ncH?vJX{twbcJdQhAe&=
z`aLb&m?CS+Nu=YsQIFKzAX^yov+x-;*TPFd?e;cDG%zPyOjGi-Eo8bVyVB1wapm6d
zob;nq>@S!-H&JE_wOmrR9o?GvD9(Gaf~JP6U+XpX-L{2R3iIL7Zw%~7GAW1(RYD=<
zeAKyW3oC3+9Lt!a<Li4V8Jy2#+<U)uRYR&RNZWb7+PcIulfv@L3-@Kvg`B6?;A;y%
z&vGv33~As{e1Q4b2np|AQ7hh0vxUO;6ZY{>)Nyd7Kb5ah9PhOVec}AKl&8wB6!KrA
zB2R4i(ZN_@e5Iy8N6Q9i`qyTimqo!?^J|(W@0Ve({^RT548VS@lFnRIMd9f5uf#9j
zC4DvCI5JMa3eKM-v#-i{dGTS|*8*<rxAz*dwIpB<&Wj%Uqlo*kMycc0zxt3Jy-kYg
zHgL@Gfb$!Q0*<@?$XAwMsE-$rF8?!N4fjtz)|Ck*W0!;YhlvgI^~CD_wLV(b&|iLb
z``0d6<kCtiAM~25pK&Z~_K&rKt<mJ9&Au`?%_Ug&<Hw(R!swRCNXHUKHugIg2}`38
zC2&YiX|CSSjX!S>%@SUF_}YcNCZTj}L5xlHTzz)R=(hBD3z#eU?eeQb60L4iXh-kN
z*Qd9gRF8aP4sjz%PeU3cuuWa^C5dmLzG(i*GcOx+_$H?_{y<Y42etM`4&^S^bE*`A
z{ff=Nxrf(L`k5%cEER8WFylh^x6Aqq#La+6<=K9qNCab58(%HhaN|c+3s=2^rm$K&
zmdt%u7%OgSMl<|)@P7aR0RR6CS9d(tZxpq+*Ldx{H}A0LdySBcl#$UwQFcF3M8n94
z2t`?yB4o>mzE2^tLP<s;N*Se$Wd8hnKj-s2=ehSjpL5OwrW5x$m$bk{>V|gbUuN_x
zVAHicgBA%N;aGF>)&l+@#u70<X0*8c;`#e2I>crzn8iM=38B0?A&EF<<imNGI%yvR
z+Kni<W#*{~0`Yb#@5h<Y?nz-kcf^SFIwhAmzH5Nt%LN_W5ECj3XsA4Lm>J2R$o>%@
ztO3To!56bvnNakbNPB83R^;VkH`=$W4q`j3L-K~q=#PipG2Ko!WZa$hA5*$IgtWH`
zw3IL--F7D>?Q$I2T}&MEQdS3%gC=3+hAc?f;&7wBD<?WlZ7?kIh74AB(`O4-S<ulH
z*NTq;T&V1=N^poD8A4R}li~(h(TK(KBd2b2qgW;@hh|<fnBM-Qdhb0O`q29K*{MN1
za@_Q*I^0fzp0>cr<6G>=`%OK&j|?xGmF-e5i6B8z$Jtw%RvgH@$nDcsG9U7keyVDs
zO9DQD4P)UGoG9wK4dE%L0E&3YzFfUSgd)9%(%J+r6vs@P^Yf`7dgDbnQrbg=d+KYO
z7I<z{sHk^>$6FXhuW*>IJS4&otu_IAc03Ab6KOXv6h$3!<{JOS65)0O2&;(lpv14r
zoO&d2L^5#9Q#nV3bKY0`!pwNl_Y7N}=l3O$zFS%UK3^g*GiFa_MDro0A3FH&jgn~a
z+B+GBJ^WAgmpnXU{0Qmfr!-DVq5gVPs^RNIu$MV>)#ZR7(z*0`^boHMGU(A3F)1g)
z!JG@h@$ZGui+?|C_dCg=>ZH`;i{FS~_3lxoZ>R`jUtYD0y)TD)x8j1*)k$#t46UOJ
zQ4G0v#V<&#$Rq3A3hMPt67bNyR7#|hK+Ri}{pMDR$ih3h^8*JNz6371IV?+{RpzQJ
zj(jClw%p3u^MDK`_7`qQ|B^&fgusjb3(Dw8c|C{LL3JpQeQ<~4j}&^8*5xChtcp(S
zeNVv&Y5>o{pWb=@q|r*x1zg4<HN=1EjBU%d2Ar_9%&Vi3MYReeUk|ttP;IRDvzcv8
za9Mabmc}fHP9zFM`3Mn_p@<`wihwpKSiZ`8%`A`l3I+<r{fWr;&fzFFD;*e^%^u&s
zBah|<%IUoGiAZ&-;BC=OU7+(6HBOmQK>nlWubPz+(bHe$Qq|LXuwHtHRQ^;E)dmq`
zGj0-*Nl8U~7{vfY2^&Ji?n;RL-0usQ%!$Y~&2E(bo+0>V|FAFlu7un-mg7qE2`HE4
z@BYh+MldVS%yQOR8N~|tCR4kpp}G1GT3vhq3kQ$ML`5s3t%$ZNF-!%`OSi?~p6t~V
ziUVpBmC^c_S5zV6O6cznNBwa{V>mq3gLgimjE>~jU(v)A&{S}>zh#Co3}{m3kI*Tj
zQZ?HUuM2YM!qHFL2WE}om-Mu##|0&%>i={wNk|5*zswNkkTik5KV02Sm?9FfVUu%f
zkVF%&+PpoCO~5^ON{DYl0Vz?(n?86ghE!<XYt{CffC003klDCA5)iy%Y3eA1ayCM@
zE%Z!a(b?GULyH`$+yC0+hXx;tNHgpt@SDIp+B+FdiL$8jbB8W>7&p54d69kKi!l^D
zKGiz4Uk14<CA1D(<B;r|Z9JvG7_5u#G5(~MMjtB9*AJyIA=VB~V$>mH&=)5@SlQ#(
z`L-@Nv6>cT9$`4)x&_dyC7X6AL;{_5$k03QzKgAkvz1vF07Rz$Dw7WuL*dD+&pKw-
zu`D4~<^TZT;f@jgz%7E3UTg^u4KHJD&vta?nkfL|gBpJC1krGhCGiXE687>q{#w{y
zBXGX-vQ(g+A9+q6oL6`{hnXMxS$vCZ1b#c`#2+JGG_me7FD^EV@m);Mc@by`!%4eu
zN`B)}p0ey_huBw4pZEGLwn_sKk9ACFvf@TexwAFhXJ;@`mAMp+6@9qz)%wSsZcapP
zu^^)PdIpPsnn+!0pbsiBK7U%j;ZSlUwMNeNSM0;3!0GA)J$N@6Nr<@0hE(=NUY_|n
zi^;8aTltOY!o3MQ(Pd8-)N<)5Uya)w7N7Ux#RN$gieJc-x+XHASJS)KnoSll(a@tW
z7?O2Bq$>H)qa_A3d0z3(6_X{b$lh^lU_l#dEmv!5Z_y)%!`B$-nEzm1adADW_S(?o
z)_4D+A07Iltvkc{YZ-f6dRv{oNedbmw`$nKY0+%oF~?6!t60Iv{F<q}7Nn&7jCx&9
zgI*P9Iv!_R$8H`A{5PDX2?c5cmrSK-P`FmhB_`tyY-Zq%L^Vzm9O}aFhdrZ4ch1Db
zCEeV@wr!)9UdL;|nS0`46~WZ#e1oo9>AxLpX|-ev$EX3hnO(6N_SEPvEDbTeq(bX~
z$~M;%)FCZ4s#MK^8l7qG+~nt@K@y{)tt3u$@U50xnhv8zT!D4JxuR$hT-i?My+;Nj
zSGq;mb82+#N+t85O*-@}YJU?&i44JPt2qo}G^o-X^SzMDfJ#G)rdnG_K+SbOfGM8_
z)ig+ldI1ya(s!n9aU_8f6{p&MBU)6+XOc$5v7i%!u1U6kh+z5fYuxuuTJ%BS%!=AJ
zD@r!5PkEG1gv61`e5a3eNaaA$z&B1DqWFfIZs-!>iq=zS`}g#SVdv_TcsWjV%zh|T
zx|;xF{ekDF_U0vQ_<FL-l?xSg&J0{uB|sei`4VRW6Y43iWict@Mug{`Ki=I_18oBf
zqy1^jsMJd-jseGm9?BSe<l<KYmFN<Q8v?AzDWAh#KaCe%dd`vVQlJWT?ILXC4mN}j
z1_=gre)L87R`afoD%_aWw!D^)L&_5i#nGz*Xnf+7V&)eWu#Ikhv2M?ap3;$O8b*cC
zr|4^Rzw%VzzD7bwk}nssnM*ktIU|D16U$B#f>hwf%tzL@x!h<iDBaP6M;uXwc+B@6
zQ2~Q)0WP6AJX-Nk-hEvsfd<sN<qO<YK&c`)r{10y5md!(ELSBFW<`@c8KD9-uL@I!
zhxkx%nqTd0OKCJ2QfQ{$q5@P?_pgPA383#$e@0m=WRUuV2(Cz46;3#77a!3ULOa3U
z0rv88=%Hh+TxE?aJj}Lgd&Mh)QvLrGk}Kp<&yLGAp>t}`DHB$IiCYY1CSIiWF;zrV
z#Gvh8o&-1_(UEJ(CxJ+D=dF%UC?SD5gM;!GMBsl?m&ieqME$}nwzQEdsL8|WIPWGA
z%0{ewIgd!8j$vuz1RgcS6ta1K>n#cD<TBa?5~LAph>f;&4gtC35&iQz$e{8Yr>6K)
z2BGdMmXk3=)V_Mxa_5UWa6v+j+m<Z)%*L~RK#qhm=pVjjm(qmqWA(lRn(}CxfKR+u
zMnZKmq4kHOwcyEtAB1vm1;k%A;YQ*hqin-RBk8m{aL|WLl1)-XatjYq<ITy)f-q?v
zo2v`&FKH;|XDJ~bZ5CID17tLLuKQ&1eto$3pGVZzb!BwY>fcl~KN-E3vXrykF@R%Q
z8s@79RZyW?>b0RF63X$o|7NPf2o&a`KBdpAAd+kdzIua*+zJZ~Unl^uJs9?Sc~BMI
z-Yh&9%}qr5T@CLh<^V!#ZtV<(t0EtnZ-&c1R8dn>LG98VV^Ahj4G5i9MQP0`=NO%o
z(M9#K@19C~`VxJFMVU(#Wu8#KapH;s$`rsG(B_#y#gSKzGJAdhNE<us8!d~bo|H%I
zUort&u0f%^r^-lxJm8lRE`_$zlLq1?Od&sOkkO}D35~20PmJt}p-0kV-X963FnMO>
zs^ED=wDI?Y`w0g@M5mC?(Z7ecI+uI&nur2&K4s7Ll8*;<^!3$A{xt!@BBK#!u^ci|
z>httQI8;hJQZ7?(0-O6cR`n!hQK)@qu|pICny*iNcj}Z0OyZqo8PcRtxXd?>?5Q0L
zGxd+LVlaWbAa=iCR}!s>-qM|sTE<Rw%Y5t2HHPyBLRVz=bZx(O*5^|?)0jo)yPGZq
zV=(ADfnWG8ihiaTJG=ED4EpgV&sqRDw<V)5vIrwv@1A8R_Ff9DJLh-Y0RY=}!B>-q
z1yECu$BKx<1VzT_zU*!l1u~qS-+z0<i|F@TG%iPerO21?=Q<7;LFzuQ<Gz7-<mC6I
zpIYMw<@AWw-}|eEKzH<WQtdu2^bfJfY-!F@^jtE+d&LbQ|Mdn_Xf_Vbxo#W0o1CXO
z^s49BAKcrMtMyXT46KMQ;OVwS%sk}>_m8zB*Y$y-#$?3W&xkq%#U7vZoTH4pCmkJW
z(*vHE_ExneI)vFS_juNQr`VXF+eJ)z@Mufx%HT;FWRV$ugR$rv#S<4$8GA?<I!74t
z*u|;P#oM0-dfjFyw<g0^RUYWTP}B>nRMRbNl-1A1?$;EhEI=aG;jcD?b=F4>cdTRd
zV{aq=EPSRY(rEkE?dcl#dVnz(wu)WJ`CR8lJxcjjWAdA=N(){Oke4P!m$B>@oqqA8
zAqus0XoD!P7Ayp<>fIVy!mPMePxmJEQyx(}Ggn4x0#~b@y+{8dM(j;)Gb43UQpSE3
zrOj!;q0hYZgsXEH!w^eNLLf$I?0(^y>81gGv-8X|wX@jL^{C<U@^Xr$Q*!*Res$nn
zUMY=o|B781rCIPH5-BI_J1xBSs{@%y@?*x?Y3xbqpW?z_W!QXRrNWPPGB`WoVocvn
zVccBS#VJRcvCm<faWv*+c$n)sBXDC9WB%Zjj2~{p1}Qeu8E;5X`E$r~oqqz;?#0E9
zALzz3({)})A0&aRkZ--h?N8Xxv_seL_V#0TW(z9~qeKXEa5{A~b{s>}>DLMK?=UgT
z?{y+RL>P5yE4LmU!{|h~#1k2Zv3m8K4)SjTH2e6jXD5wefj`rp)F_W)U(fakXbKQu
zs*}`Ok~W6jC?VY(Kk*4;-LS6}+@}UHPq_;&e;dQHnJq#IM<%fd@gDZ(FjY84&I?N0
zyZ1r4(84s=7mRy*z3g9w3dHkJL~DFMVdlf`tp9zP#{Q*Ek*XJ!A*)iM_wVh`*k%_~
z$<My87*3GGyMw3<4{V=x+tN;Aet9Z)^Tubf;rY&!q8F85DzoK4)Tc>|Z9sRDoofy&
ziD9X_`&tnmFil9ej80+A^N#}r&n;lTNSQebf{K7|ow)*AUohM8N;@isUzp(qqtKcl
z1z5j5_Oiuv28$VDzT5O;3DY$^OQqZ^57K$gYG-S{Vt>mtYd;44!Dd$D7O$zv!$-_E
zeamJRyBq76YbLUS(LeHytjUlAV)T#am3%+2!pwo6u;-(E1j>z?c4fgupYMe=*F2VH
z-0K(e`!9x%3fsIJC<_b|tvm{QelA>MD{)O`1C!0dkDZv20qZrEXpQn;*skUd=AOER
zeZF_CRs5I?M36rpjZyuL9k{~xpi_4j+wJaPS{s*!qkD@ITJ#5tTswYj6HkrI8MDK2
zC#8W`xe*s)xq{uOSlE%PqCtoC;%6SrNkPp;?kXRiHLPF%Dhj(mhZbG?1$Hk=K}z<k
z!3vIb%sO~Z%`<=jomDJ(5W^t_o&#K$#3&mWZL4)y_Z=qm%r(rUqEr%uL`G=Xi?=Y*
zHVY4i4HlHND(x<0Ckc+uPLd}N?qc$(src!;>}cUyb=>t03E&g_kIGt{8pTLhPB{T5
z%8{u)_pMw4mKUQx&o<MbQPzD50wY}Lrc$@(F@Fg#_?tC68$*YDEpZ~w_wcBx{y~(B
zwgenH$YF6kf&oc9bDvpA<V9EP|5Lk#lK^i#>vh*hOsF>_<?lo(Kid9K+_rB{91_l^
z+_hoc^KA)(A%|&%kfmu?32{suB1^0{^B%LKAoZf#{<lQXK##>Awl#6k<h~nr){GOi
zbP8*dPlzK!oljrIB_$w3K={$n9zQ8&*|x{pl4z;%;W0Ze37}tmdoJQO9^DS(H$F8b
zg_^aQ{0HAiz*@LrrC}s53Joy5?_4f}J}Ea^zH^p@>k8!;hg11cN7<uS&3SSt{KYlS
z%e+!>)=ILhW-q_^gyo%Xs!~8#>v(JNtkU3wRdd!^h@i?~nu~vCl#p6XY|Ce38Tb$`
zY`wTBhB$HyHK;XIk#}W7fOMNI#M8C@7N3?t?)ld;zuqCB;LjyD#&YB#Xs5L=%v%a+
zybUL+(vpzQ2QQN8up%TGOj@$i$e@tbr2gAFd;Y=5m0c`K1#aD(^@*#HMU!e;w}w5`
zk!<Un<)ga<=>4~lK7CdmrA5qatA=VInzz`kglrPnzmZ50S5-uhhP19ndTFASV>9jE
zh3epSL(*?|K?!~R6PaBrs)a7qiXfGFO%NdTUf#%4K|^s#iceCt5aK^qbNjRo3_ei4
zb5v6eQT3iEzg(t;!cwygm|67UjbxaAa{&P<p6Q;u?V*KS_|EGSS`C3g<ngoPK17uN
z-Tz)!u_hYZcZNbX1n557a_8|V5y?F~?p6_@feMV6H8~TF!AhQ~bW5CsmRM|OO()4n
z^FYy5O`{25Wdy!<G6@+mFK#B!5Ygtokj2X{Ou<>HoS}q+giK}<x8n^}(VKS;>)y#`
zkoE<(xStVGOL5u^y^{h;E6e(OM0_6vRve7quRuf*w~r-!vXe$OB~z_5=k@{ZlW&LP
zKB%GUJjNKA9ucJ0XQ)1OeII<Zs*u!TQ$-6s8)xS;@#t(>c&>r>KDcB_59Kt<=uF(s
z?30@e=!d|IH8;V1@F;U5ORGl#O*!n;TNy23hPU<W?iQQDzuN5MAH(Gkld#(RH2O)(
z`lZ|nM{zUAyncY5C@zC|k`DCCKij0x_m2KI8)pidTr;uvJ0#Ji&ECYZJM>`FQhAhj
z)&!i47M_jo`6}@Pk%k}6vjUaZn&{_!CeYO0Dx&{D2&H=L@LX!<fRzs}HxrADA<y@<
z0VSFbZ67o{vd@(ZY!da?zT=D`bkp+;p_Cg*+mK2f?72aCi28nZB)|eHvKlwQp_Acr
z9co{=LCeN+y5TzoavQ5&oNH!8BSSS-N9FOrpIqru`ppPvulOWmgVgAj*|k*>Z9LGP
z{@R|jVhAn@_eJBE*Ri;WYpV~W@j#mKt@q(FgqFmsBjXQ$Vz^$-{F|HHkRRyKBV@4W
zXEqJzm8wQD{wDob!CiZNqV=x&|ECWPET6Kv^{XfYj!{zkv$^3kck!ssGd+;FdzSY#
z%Opj&-=TUZfE(z&p9%!g>Vf-kf!6QK3l!q}0FS<d-0)OuZCb%q7alm?YO)($rZBPd
zUb=6>4ZBzKvvM1CK+Hj^$7ybz^6=$L6;}&xsGe)gRgu(z$3LG_KE!NO-kOcnah>Fb
z1r{9{r&Mi7)YavG^qC42FCYJFmBtMRY?n0~8MNWae@wyO2Wj9{k^rOd2sgB_U3$V9
zqXl0*15alZ(Sh-iEcgAocrfAreVE9k1zYkaZSGzSa8^=y#-|z&qfuc`Xwo%dz4xo)
zAx<VBEKqaJoAH4A6S*&OGMZ4C^)zpxiWw&Ebq=cj=7EgK{l#yaHK23-+);izRuCIk
z7K^Rt1=Z1HD;jqVD0<2D%V3cW0t2;EA&U=IyNgac(P+TME6g7crQsl6^?t(BbbhcX
z4&LUiR0nxj68j_02`c0p+q@+LFek`3k$XxVq^f5xC+~1Vbha2r^Ozvq6OeQ}Can$@
z0uN7ne&d3WQHjVw1z|{l9kKBrWMDFX{*Acz{_cbuuY%J=;7RwoY*ix}MoS#E6F%Z0
zvpWt;;1z>tW9ppbbTXKflQ-Uf<$*)gX;p7)#o^fng#?`oWQb_{QD#TO2Ni>6;tur^
za3f`&JJp8_N-TXiS^__ui%_j(xGxD;-mY*boFap?bF>BW6M)$z0bIjvDVQ#JQllC~
zhMvHJe7<HuNaWJSAGjk8=bv>{-A&lbgD$4U7NWw?th2eQdtV0f>fiNmRFgrRiP)->
zDgqBi%(kyq%fd6;NUAG~WC+&r6!YK_gJV=(jVYaSV3oK1*hNnrl!8jUpBIY*%dP=V
zZc-k~KXJwu-BkxwONEo~9!Y?y7XFjdsscPIif;1Z&;VT3(R2QhlJKKX=bay|5-=yP
z=AF*g0M1PIvBxe_K>cp{>;j!K1p2p~6V}xPnco?OsXEf&SX|L}cUc*1O}%_Fe`<oV
zf&SYrei;yl@|&5RD$xCpN!__o3pmtH<F2mAz{h^R&B#ltU}GFFp_8QzRe_xh{@t=*
zX;;75#Ha=)ef|yR2|Ca(^b}2G$$|LcmdZg7H8}KF=XF(rE{LMG!FNaG!Q}l-p3yip
zxM4DNvN=-^<_;?!WM))=q727FtNv=>yS-cWvREIm{|?tE=PLmB_=@BNUJcB&*CVZ4
z4B*98l`$$&MYwJmA9N;E6~Ja?*R0nN{4W>v=Uq~SIXi)lZ<#8<effEl#-I_HH_{gt
zHYtJ=H^JNYyfWl#Uo6dOr$Dqsc3kj#MaZcc=pGhQf^(F&)};plEbUzj9Xb_Z_KvYb
zVTuAI#G99GRsiUIUpiHpsR;CWW0?VCav&(uPDtMYuxiD1u^B4DIlsQ>L+rA!b=r37
zm!2_9qxHjlNC7_C81qY!q+z-&P2Jkd7^D?DToNP|fPpsDHT|$89Q!<bvLM_TvRjo$
zSx?D>;Hf9$8&u+;`>(w#J<1qfx8b(`rO1KsU;Es1F~Y$6_JHZhU}GqI8TnADP!_6t
z*gklh2!P?o_Qh%kW1yMkepB^C25gF+@%dZuLJd7{X}FRxRD~_?JSvoiPGUq~+dXcG
zNWC`Fy#gTg^Q+2YwiLjuW@(uzCsf?~x7An&Fmp5GFg`^Ra{d{8>%7bc+E?kW83h8o
zZ?L(k5-R~NE)_FnBFuo(>pCqb4Zv3Dk{3fS4#}5ezhyWw0PEKL4DK-nw%A{XW#UD_
zJ6ZLUlsFw!4hOY{QBk07`k|Y>t}t8~T~jddqX7}ROtII_Mlc*2p5+xT2rta<mNF8k
z;YWm)c=uC7$o2j`a$$rYUbfiK)VWZBK|xy68m%Fu-X;99Kf(tS(JAp_FLo(DcN%}5
zax;J&6Xhq1e|exK$hYOysa*<dV}Zf%T757x6Tec}fQLEg@AA&r!#ka~)Z@|z8_N)@
z{dc*cGlCH9Crky2PdTX?g7g52-;9{&Z~@<D$YZBGD%j2lr+)cP7wGP-w>PzL!sTHN
zY7uK{V767#%h1z>FVy3lLYo|*%;jcE7N>!G<}06%KhlBqNUeKJbvP)&{kAf}(?b2!
z=x=i#9Z*m-mo9(I4(<LC>#VYLAQ~5%e(Jh5oS$B}@Lw+*B;xh{SRSH>nXUe#?{~D|
zoL~>*dpR~Zbk*wn&1?qH&wNi^8m<L=rzYA1D_NoC-G8pS8;tNJ@PG@=rY58a4*nGI
zVFk7P_d(_%%n)u6$G>)269&2i6h0qd1%j80j1?0ry!|Pv|Co6%7dsdgaJjO=g^sFP
zhk7>fGxBxU$<hE5G5!ZOX{_*AjZtsv8V<Uig#G-etN}-RAMu1Ou|l}LUX+IxC*-?1
zMK`yp!#~A!jTfP8Al9P8k*d!H{VSg&Bt6w(SmWYQt~5I^5UyUAKg11Z>Vqom7}X)2
ze${SdjUB8`3UUQR;NdwrCn2|r4ESNQeHWK-aG_nyx}kvw`o5+T13bv^h!&sa$;1hL
z0@hL<tbCBy6D+4GM24f*WuK(WIAMM*Hncs2AGXWC&4-PU;85bD(GgEBxR}R5Agl?%
zlth<ce*p=szTd0<OW+2|RZiByR3W(frXyi7hy>=(T>tKJ;vuv(|M9bZBC!8M+l4GE
z64-6LSGml{1Lk&-^u>F+)6nD_U86>V5dy;mEe|hHTVLKxrjme1%h`5@VkBU=C%?<1
z%?G*@bdIcalAvIyQD`qjf^MzLnsUMX;IDTqfNn1jlulILQ<Nb=>b^Jq39kfzOkFDR
zo-7R~BI9F(4EN5-_uDzHECh$%7}K0|mw}_@df#rHCV{loTbk%nVX$1KTBc2vh1mDY
zw7d^UFw6bcG{{60ViiM^{kr9VS-e+J?KcS$#nj}~eu;sK_sGK-Rs|5bGZ}ftkql>i
z{zda2k$?kLj>QhvionCS)@9UBhLPPS`fOuK*y^%upO04pBOHyxhKD-blNb+ABTK=4
z%JE>k=gJU*6i(&iG$5Y$e$uvrGz1-HaSa<+fdWFPOWQjQD4X)2KP)8!SwmD_ZZoPd
zUqN&`Q>_WfJW`vX!m?0zC+v@4mm0h;<?QHwq6Nv`|7IFF<={f1KgA%1u-CVqJGu?p
z5a#g~#<%4_*Zop(3LOzt=3CzV7~T6{>9#szpXI?mTB@``o(R4fy1tX_dT`-x<5~AI
z1-LWhiodv5H_#iKm^q*iUc>Y3`ksm);pKEWiHZn0{oiJ9r5M1HtANPyZAGy6lgfC1
zk^t>Vr&AOA3}G<V#-irD5@3ga$D0MIf&TNpFE42+z_7fcR@<QjDsnhy5rQf_o1KZ+
z;NHt4i}93}UrJDm%R4bzs0>SmUJaSI0saR70RR6C*M~pUe;fyJdu8vP?d}}z&e`Mp
zHWDGTkkn5^QbL22tdJB+gpi^rvPVewH8Kh%WR#VxviJ7$AABC~$Lsxif1VT1Ep(3m
z!vXc%SkdI4SkN9}^p#@Phs*M11pO);)Z1BJ4;qmN`>+vwt%p9$9riArcErKW^25hR
z>t!J^lPTGyNFP`OnU@8>V!`;^+YMrZG}v?W#4`TY2WirsNP1B$2o;JMeRh$An*3a&
zoE?3LTdDgfbOZw<21%H*TjD??(nOM_Hh|w>j`$Q<%0s=b!&OF4VXzZgbHFX?L+R%o
zt!jNapqdWjjLPJP4Ehu6^Bwwd?Iqnpkfbc|2B<Vx6M10P*0zHoT^|aPYNk|IrJ+KR
z$Gu#J6W&a&5hc&)1HnVY?nk{8a9VlwpWS7FiA#4*jPvS4U1B2fN1P-Cc<kqe1TjDl
z-@9+08vsJx3*A^;Bp{boJo;lD4Y=5Diqc&M__1@SPU5;aq^=^DS8nbjx~tx7SGfUJ
zMa;z?BBG#?BY3&Ab_=<F{`wVjF9af-3-X@J34@_dpi?Ps9qI9sdS6wj2M8UZNKZ)+
z_($T^MABA}9E7<~Y(*Ey*Vp`c9QomPL$!|B+!9jx#pBeRrY@w-xrvqL@<QsH05<*o
zMMN#b^tX1H4#btQP+G-!pf>mj6{&a;aZXMtZfe&CvE_jyN8WRR{+3&f!t^4dUD(UY
zC8iB3?h9y;KPLo~$9IXvFCjGMBa_}fT7W8StCW?o!*$?hNPE1D6tkJva<^y#!ST=P
z$VXPN7_rRFA6Y@JExoM~kkN$m-yIx`SPlWQMz<Pvc?}5)n|l_0R|DM2M)uDqFvDQ$
zq=T~Z269p_>h8s9b%>Mnl&Lz&1Tv2W7R|-C5b4<K&XqRma6GUrtj3BFi2uBWi&b}!
z{|KiRFQRJD>#Fyf?G6J7iqk4c`0XJBw%iIKBsG}l7{3wmlOF8kf5*{zQUP6ALGf~~
zDo~nNm$lvL;cfi=nC!RI(9`BC@JU(~=x$ffCyCI5Z9l8qtvwpptDA3Je@TXCd9AUQ
zn{*IX<=CHko(^<Gzfuz9$RL$2K)$g{2hmTBweOA6!<Bm0^REk3fH_>s>zW)rJf2l=
z!e3*At$|+{Lv0nvAM!F~yGjpkBgwTbhnXR3hWX;%HWJWx+Pyjbn;vdFo^70(V1Wf!
zitB@OB#3gnf4}D{19aSJoIBmd3ZV~+j3al6P!}BV6_ICzN^i$`LKiz6W7H4LNhbnx
zLd31|9Y!EjG+wj`=7f;fS9OVoL|E->4ST-A1iJP7U%B6K0j8lq*l&&i@m7-95)Kwf
z(Q)v7ImHc0)lV=j&k3+=Wbt$A_#wDbXn4LC;RO@SmRy!S0mPl#9YRZ4A?$rZR%{U;
z)CO^~Me!5hS77w~svbLd`y16}=?DOGNzgm7YGnwGZ17uK;(*GP^qui>LC`A8l^M2I
z2CENd9}A~AfhU##IzYw0LS!ir2C6`e;X0!-<X@Am5SZhFc)et^<RnqBY!6p7Z&QLI
z;=1Ms79I#Q7_IBd6o-G7sT{01O7P?j^VOV#_f@Dx4|TXp0P>+<yEIh^Mk3@q`ycXw
zV_wQ!POK#C5v@hI-YUWN73u}eHGVKv6+Y73ECrIR3p8eZN|4e+EfIB75IS{(mhW-N
zK<)ye;3q~I@IxvMh@dcx6-`|&xhM<sduYwW=gKhkvJe~nT?A|_MqMpB<v>=b_kp?u
z0eVcFHaT*|;4nv<)Exs1I1`Ru8H^%;i}XhO*we#csv<jWUyX&@sR;X@Ohou}AG;>^
zO#=8$Q)G)(6d*3@v^BgULcU-AruDESbSoVV+sVPhAh&|Y_!$zYs$3&JSeJt1Z72Hh
z97;g;Gg8%8SAoYP_h^mzWq^7De>(rHGEBU5ks>OS;f>6aJ4r(pIOlz$HI5SCX8gq6
zDq~d`*b?H=aFm09j}|Ry%>+;&mGPsu)!>QHGvv}WdDvE|kh+5-!jY5j+nPGmAvF)9
zEpitF6GdsVCZ0sF^Yy?KX=s9(csAcyC>AQRMmL*-h;X(2{^#T}Ezs%epp3cWz<GQ<
zs{9-gq+UJ<?$XkMSL2a~8So0wRnxj-!b^nRa(_17dR;JUl1z8_tN>rooYc?p1i)?|
zZ}^5Fuu!ExbW0l#-BI=fhf0*;YxnZy%XR?YIlemc2jao>NfViCR1qS+3dV440wDEz
zW(Hw+*#6L)rBb5+G_BQ6pYQ3z8?&_+lh$~!+25RPu*QPj$#>_j?dyZdDreN{lmZ0%
zWqUrVk^}sds~6^!0g(5DfBKp#z)Dc}jt;X72zg%PxboBhEH$I%ocwWMXD9aGIeST%
zxSRdySfv4|BbIdT0S9y7WWG}4D+YRYXMYOT7(iVBjZ>U0<{<AI8C`b-VYIOvv3_L$
z5`<(-KBqjmbgV4gT;u_xKhb=on+7oTFOU6ir7R5HeX9Q9JqP&QFpfR1WdOuZ_~UFX
z13X0r$`=!uVBy%w&jmC3;OSp$l>J8v{!@FBbRmES*nU5Yd7YpShRM^CsR5E8)8e%~
zSGR=--)$a^AsyVor2cdz9tjYtnDl=gxP*+{IWvrD19%)~RhaB22H(iz$7zQrk<!<4
zu`TBS^tO^e<PQpiV^YkOPgOsWDW6N-R~Hbtm;O)n!ev1?cY!R|D)<>u$51*eL=X@>
zd~dx&mLC>g4D)zF4r1Z+8h6rE4{j>3JJ>Muf?%Y@`@~myl=9(z*P=jO5OjR?hh2yp
zB9y#l*(Rzfje}pKbBlC9e`L>w<pd|(BJerx(SM{Q^02&W{HG1VruB}$0@$F6<nI(=
zT19cLb8tC|*9Jez<l(?)EKu+(m&84lPjMT4m1pFq1u~}nZ8YpmP;@Jv)L`p_PzNNX
z7T0RRl>6&jf4|TJ>tIL`?Mf-KRsKldhg}n>ICGkeztKXFt3TW*Yecve*Dwxl8i4e9
z-=^cIfpIJ+O*ifvlKC=1T8E+zzBbh&+{sk%r<V<!%zq$3jnlGo;_C42Q6f8a)*eDv
z(o$pg`WNyqY4xpsxEiblWVfr`+CeOBX<F5uj3Pc)T6oxIR6)14mAG2Cg?#bz9x4Cx
z2RS4V?uc_#g(Izt8zP#U2!q|5^bUh5#QmMSmH%fl=#)xbH09VpPJ~1S?HBw*A|`#_
z_8?>+>9%x?Dy$=1>7Vl7Da<3shf4c#RVuLH>>I}wy@o6ukxz0zvxvx0ADcR>rUGaA
zMqIu~t|1ftnF;MG%gCR7Gdq_`5_}|&S2irJB26JJ;$)#!M3IkrQ(T7x8!u=*F0QU3
zg~SzW4eoX1g{8=$2aN~!sL;`B47-L{6qs<0NNpm;w5Y;!D<Xs}M7`d7u!e+}#Ph{l
zZX;Pk^ocej1lZ3gF(ZntBflDSR2kEEkuxaaT=rE0U<5O>9`>&zcKV-El$fYs;XmHB
zBo+d2&7_Fd)@>jzcbC+|?5W`f(;<4-W6JPR)--LaXA?<bDxGtu(7<L0izjuI5>&Nc
z`^P4*jo94rbzC=~117U4Jj!1b;hbZDf=T2K^4^|0D}0<D9(MM>l@L$_^hSbpsO%n6
z%`b!`zGVcuy|7ggFFd3?n@!|j-$$%uiZhlHnPDjZZhK&}0tj7wHL$Wr1w=mO(3g3K
zK*Zo<R>4894QtPP7Kziqn1i>^+&mjxHtu<A^b7|!^K55IPt!tdXZuXC3MUxY{8#^%
z2M5{%>anUdbl~cHBFZy{3r<Df*1i4|3q2_(Wr}qe;9vV>_A6>0c+~zgb6gG!U5(>&
zqhpL9U|Dj6IfWO#?RsAIYrufJ6ID$^DKn679-T3><A+Q8xf=1_7}yG%Q;I7*1j6!}
zyGm+;(90^9wT;EVYt2LcWdjG9wXYz1>k9+vR@`pmx;(VK%)RO<$_Wz*#bs{-L}B_@
zWx?qIc_<K*(*5Di1vDu?mX8jJLx=pIgv@SvNRVEcitgYBMhW#2xoQbe&xk3Uo|Xsm
zPfXFCCwSo!b?AE@@q>QqKVu^#j)ArFb6<>h`5@r*J09{gX(*-B^31-Dfx~yE4^x^2
z;L6C8C3T`KT&`?fNnOQ&y|_>}u|f#M{#c)+9+rdqQVjjMSy%`@et9UORRmn3xCdNc
zV&Ix@u>xx(4wM#__i1Uwfu*9MqyM0%qisF5Ze=OJ@g__8hsqK_MSkf|IE9Dm5c=br
zG>VW*CwnpGiX_}U&iqc<Knao_VN}EOl;GL9T=q*8DM;l0=OD#HfOosJa$VL0@HEs@
zsS%ZdJM?lk;=2TJ(@IYE2_S-Y^6k^B;j-{gbq*ijON91jJ>AP+NRS!jck;}F9K_bC
zyJx46z%iFARMm_O_h!iTqfQvOGHrR)RZ|5b;}#o@)>OfEXy`dT1q;Y+wVR^(D$wO1
z<DAl>4%a*$#B6XXz{B`FHqJ>EVDRt1s#Bv0=LXb#KOMzG82R2Yrx6vvMo3d_H)z9$
zh(qRO4vNrv>py9}cohgA+br<u(FJ9s&tpJC2@?M<{|H(n0mqN=qR?RkQaZ1Obq^}R
z>qY!3I~@tqE{QH+rU0%)70N!-QwH^Slr%yc0Yn`GO?yA<gK?wKvb~)$Xi30}>eosz
z7))LAUz`EV3W+@s6;X!z3jrorO9e2t`+adt$q=l`?)cM>l|Zv~*Xl@_JUo=>NUg~>
z1eOQRB(7RTFsg2~?A?|I%s{^K?3^L!I9gdnzQ6;`F!nK@nFN$DtfeTk8^MNWnnat4
z0#r0+Dqe~df?~~2-_q%gV78?9`cf?x%IlfcT6VdC`YDxz<bWaIcPZ?$Y#2z3$l`ut
z$O0@(zT4H03}Mq(wEK&J9MG&jxmChJ1sRtwZMKmNA<kAXv*n@;w9IXpSyap-qc<-Z
zhcy_$wjg)@?>H&&DR}+vbw@Vh`o?(A#nb@8UwEB8Un2nt1`hd4p5qkL%3n=ft@^<8
zhY&eDEe4kvE%378%M|sXbGu-y4-HCB{`TEH@aneb`m*pAMLl+MulT@^1N(QhEUg3}
zEj{aAXU`smg(S{<(hy*?-23B#H7~3d8B<TuQKJRq_#=NFAV92j3!i?#1s@G&S$An@
z&}h6_SM)PISStnLY&v%E(vzeo-lIX46HeW<E7gTzl@S*;S7uNgJpH(;ga+k_&KdFT
z)`9#_(;UBv^njhvwq{GCLCw=|Un$?y24m&S`_f+2z}!ZAP1BJE4Sw<0^8-;Er0zWy
zbLQMZ`qXgwj@#7enGWwQ#>-kDHhSBrgJuo!C^xkdi>F3K{bHCniZnr9<4*M5^aaF_
z{l$56DQa|T@DXadr2z|ft38b}ClP{LVxv(t6{>#J=%$9525j2vWwl|45WGZ_gVz}<
z^!HqzgU3sCsQ6{7vN_(4To_rJiQ}O{<u+v6uI#Hpk;O1Mn<@#}a@ZS)tlp<=XN|qs
za8U!ABN?<_ai1uy*N-(C+}@`Qu5me(x2nP!Wy?{msvZgh@kWw}&pxF^xS8?1nkuA3
z{$MJ2HB7lYasO&(@;)W%=Pl*V95P^S!CJ%l4~1hWddGKTpOW`HG^$OE40bmK7hc3q
zQM#YiX<C|4p}BBtlbEameuU%*{g4?-hmcq3xne4`<$-j|7{3ZYatq5(@dZl0mi{Yw
z4QiC_i0SO-gFZ;D%D9|1vq<6Qp=EX(q((DB(h7e_kRVLE)!|RkGNoF0cyQ+h4LXDQ
zbY&-x2ts4ANAvtvDMjmpUbIoPsLY@HdFt9kcosLk6QHq9xqoec`{P48ROOb4+Wig!
zq<tE<4rJP-be=lXTUJSr@_ul7wR4^TQBEeulcu&P&+XaD3K$qsPGPUr3~B;6&nKM>
z8``0?Oyk-qx0%q3&n8;A4V59GyxgQ`evk54Os2&|lm$IQ`YKuzqXg88{iUprs8Dz8
ziA!6PhtMn8?NM=qiZJ(qaNE0<8vWMA$kY3q4Xq0M>q)Jt2uJ6xmyhhzpte7}O@){^
z(Mf8<_KXZXxIZ8EF><0qBY&4l^l5UToaJ{p1UT^UGR}EA{yRPDup^}X{2n(tWn*Fw
zF$&;eVMyw`z=*P|ul*Ob#)Brx_x%;)RRF1PIbp{nnbCKb`2I9T@S&uHhk=uCaWLT!
z)~LSEf*uomlb@j>fPV3k@#3<^!H{#!0y_g6Dr?nx*M&<6&2Nm7JjsNEkh-X}Q<@y;
zaO~;m<J=-Bzp@{Ke#e5N;Nbe{4o;LsH}gWct{9pV(3n+Tf(2EY8{vP2xY6vK&aQzc
zhf!6Z?>}hru%M!`-XI&wgSsloWskB-qK>m>784(_@Fv4!t(~3^oz2eVh;Wxek7*oD
z5?;cBk$}Wl$Qyq2zG=3zd9O5Def|RPkO>a%=-1uOzAT7#sx^+spOHnEgn5sxHRC|H
zX8f<ItuRU=IL8ic$)UeP>S*$>DS$)9g?T0?QMB{<a>M&K7&J}1ui=9o9ujd+s=wbA
zN6$9&=-YeX(6fi?c6GcD{A9)1Ip`sQPLu<cvl1Rvy7lA9`DP`!jQzbhm?nw#K8>1r
zxUPs=Ke^{7twI3w>Fsl6!&2zEKx@^QDrIz9@|Ue5h6sF5pFiwYltCGXzRy{e5zz2B
zZ;MSM5(LHaT9=2*qJ26UpPg?J(Z?Us!zuSwK#BBQz37)5di|baPd%1|GPn+}oZ2LV
z6Q4EXKN1F|U*i1hTR}p(22(V;V%0$WVL_iwFcwXhsWTWAP(e-pDdbKYYry*G;J2bG
z97?pb<9utRf}XoGgsT<Sf|>9#(UCp{bZ;Py>J(W8y;%PdpH8I%q1N;fxGp@prCZP7
zIYL7D{IrK<XLO;sq7>RP6w$vPm<wu0NNAml22)K30#4q2t;r-MRD~_neC!+%z4^(H
zLOyU)fVa0tNu(0$Ii!dCsY^iBFY4JmO4Emji-Qe%iAv~#&7~Z)RuR=Z7464wZ2-?m
z^;LVPl+dq3ElO;!aH!^o4wjZN1E4yc{kW)C5hcV`i<?-<qsHAGmKj!t5UZ_BtH7>^
zYVE(sM@OX5nYuf)KNAh1rgm}{M~6o@^Espq{Uy*M?1`6LWrm=6+<fO}9S%J_Q*h?$
zIbl?r>Dt(zcZPs=k^U-LV^P(?C5b~8yeRjV_^g;HLzrSA2XWWRqo1vBBx}B4Lu0-i
zD$+1E1jM%6;sd7~dgr}=9+s94eP<-J6FP4I8Nqput0!g9j1n=Cry1)M+^3tr2Jacb
zuP5`psVPz@&O^{;Vt<VC_2sW)h5`l<7gw}mI4Xhq+%=LjqbovYwuOThGW6m0iBwjZ
zi{fa4heb`l!5A_p=hkd1tq<o|JrEOB5mcf+!4RXgfTTG!R<P#)B)U4Oo8bk~!&{{^
zqbn=OrP~h?7CZp&-qRn0c6?~Ff5PesgAHW!LsN>p2LcXwLaR#&H#$e+qcEJ=LX2!r
z^=;nP1DyTwdJ|(#bimZ;vi!Ym<oW4^0l!pTz;y>VO-Qh!nQ!R5t2ee0{*%Kt%M=~(
zGQ2dxbC?M|`dkd_KfH}B<3x9YXSLy}mB3<B7#(`$?TKI&w{7I<&hE-@DQ)=o?)hZa
z5o$E>U8Y5H&K7d*X{cA@SuL<}KjndM*r9Axy1HyOY$9c|@vI-RG~r~F+2PcKIez(b
zHBPN#1G#`QSD&8KfO&Dl{wellN~*@AXNf=7k@IaC^V*08_;0+fUS^r2^b#%=$4svw
zm%dpruO+I3Ec$khZ)$=PdH2_nFXtMPexcZfu%rfyT|3reDI=6uZL4pkZB~)a)oHp^
zTQwLsbeEll?FYrz%_26kbOi}0+YkF!r3yJa%WWq1EtHAJHn;ZFR}i{wE~5z<RiN_m
zX}ZXtN15)@D(x6uMhJt17q(Bx;Fj9>x^<u!X`W}UyjZe~JgPl5OUp!t`4F3AJX<qj
z@3^q~{_Qd{yH2^+9;^a$P&{*Vz7xSo|2u2?Wf}2ly3hV#n*>$?ObY_vdJzVZ`%R&|
zD~RS5)t85Fk>J;b;>?gEgGdcdxT!931-X{P;Bsk?2o)b+A(iA&<oo?yO0d)_q8CZO
z<`_YQJn_xxPjAK$lZ)Yc|4pqTLfrzET^vN{yU!fm#5#eP2fdgv>0d)06|nm@r4yj)
z+7aZV#}vY~Z!PJwwvN<qWL}U_CV=JoH(Hv;zX-n8s@GG06Pb0aeODi)49AYITc5(s
zB3T*Nn@AtFkV~S!2-B5HFtNnqEt@ruXml2-XnF1+h*l~`$($k_|J*2`BeIBO`D@Hy
zG}}Wkb=j4|ctsGC*m)~{V+qMsik}lwp@QHuH%zfUc))h5e#A~JBba)9*_JcZ@Wl1T
zkJ)MkAeAkS*<D#hyplePFy+wz>5l(QII9Busg10B$G49BHDa~#5vGIBMQMS&=W*~C
z?<aD8a05A3g`b=*q=%8$@#1}rSeUusw*B+-7Q$R{Ev3wx5qi9&XN2%rxKR2dq44((
za<$*}=EYOY@HeroQR^878q@kzKVkO~>(qQ^TK_|EYJ%WU&W(Yaq1ei|->JYzp4+{r
zg$+t1BmPPy$itbVNyJ-<G;rF**4G@z3H4ou)cRub5GVgA)+U!03VI@nisQK8drXti
zMzI`p{|wA^H>L-3)!Pa-0z6>GXA$RWBL_ovXoUPBMo7GIHHoc}7qT=5dj|Gp!S(2;
zQrKbw47M_PESVodvr83rYGfg!!7?FP;1IZ>W0xkA1>xPxNB!^b$->7>rtjt+Y~Y;}
zSE|@73>L{tjII}CA(uCdBX5=i*mZtom&l31lP8}!YMo_aO1_-%*q#gief<8PTJ>Sj
z-rL?{z9b7o(i<kRK5qDRdCQK$KoZ<CL!OC0l?CYSYA6cih4CzZzqxuTfb<e2zcE>e
z7E8G5t<MiaE)2f%|H;6YrM(gSNjYf!S6FVKBnVN@)vj0x$-&vQy*I>FIT-z2C0=hJ
z47;aGo4ID?p*+&C?{Kp`6xL8Awu41sNUvO?y$=hvDmQhHc42__IjKo|LL3C9`adIm
z3h-5=#p0eM4*c&+Qk_3=ct&F5gwVJm=myXY2^{2SC&WmgnO6$ZTIO})*Ob94)T3YY
zl_HcrdiTg7L>l6mmb!0J5#bcg+^pDNWhmmgSR=S411}oCek|M~LYbny+q0uY_%Yep
zSra4&ti#nmzKoEdY25cMQ`^CRmHWoyKza-aac_Ew<f=foV!FRw7#VcMyM-2_5Au~@
zE}m;d2DO0j<7*yjV9+n<#YJ=AI5Dd5t~X>*lp+j}{WV~cZ#Brw6%U{EB<PNQA;X{b
zfQaX>wcz^X#%|XOMUYZ7o+V|F;pgMfCp}X-kRp7do?NU1tP<ag>x9W*;HAskghybt
zy8bO!gff(8xU<ISs(?fH&sw8GfKZyF8tlvjFmo+^Q_DmGD!#hj%VqkYa>NuDD^Gw<
zM{eVyy95ZMj~TuH%;3PqV)!Lt0`#`?-qi|L1On&c(E=w!2=)E$$KI$6B8)6Bn~a4U
z#;to62X6IxET!PEtpw-%O%|6zWkLMS)VC!|BY1DD#P)Dh5pK-p{HSo3gkJ)mny-Zz
z0rtmo40Q+|D37J2ghqsc>=JSOLzoeqh{QTp{Kmn{bi4*Jm<QOkFrURv8^Nz*@`c9)
zu<*X4*u18K8I)7qg93Ss!2c#}Pb$a*!t%OEz<39FYVMz8Ut|bQnxoccO0wV{b4Q7C
zZWIxjDq`Z*I&ki*vsH8o(lB$li<%rYNO^cZ%Hl+&0pJ>WEY|Rn@TlcegDPQ#qD2l#
zDONOqLou3<r2@sFPp66BjC+qV5PGFL{)ImL6)!v!+b9einX63-l{6^JA<;5b{saGR
z*k~CV3IKh7GVSb1dURtWFJtr}KrnIhzlj|lc;hB!#U;Xs7VD8u(69hBPx4+=SmlJ;
zFOv4-L?(1+GR?S&9|1}=t#!#MR$wLZ%90zIP_~_cni3g3xTidBn`p`i$k{rdnH46K
ziZ7<MOIH`n2YORmOK9L&Y@zhAQ6{u{HT6upiw>9!9lF1Cco#{--Iz9i!G!+oc%91}
zuMPZ~<v!&ltB7xmWuTo26Z-C_f_`7K7KCL5!jj+|;zayg(K616erT#<4`<Q>cB`jW
zovOc)3d~SPZ3H7a-5l=ZWUUF`4Ne7VI&~ls+2zeKL`GD0`^fRS7YEM8?NKnX1r+Nw
zC-)Nz45+K<W|aJ<I$YAD^XTsHrV!?%oP(MfP^#)_gx6jjJ|ZbtTY=vc6AO1!mKp}M
zCFI{vi5fLvf2Mm!muZ@!v~pr#tDOO*UremrkWqsq<~xfO&hwN{qLni-G>j-JUXoz{
zL>1P#aLK(XOO(b)#j}2=7|}K#!yQIuRdB0DW2tObDfg0s-B@}V(QoO5p3#FnT~j$-
zePnE%^0VT?M9@tpv@`rWrj?ouIXwbGZymNM{{sL3|Njh^cR1C56vyp#?W~N9%e}UH
zx%T)TGm4BBDzm6iDYGI`AxiooLIW8|B&kH-Pclk~NXp2_-g`uT{yoom&T~HJ^PJcF
zeZ=@4xD1-GBlSDV7Dd-JVCl_~IH$@D{IK7Y;~^RclC80$#c*qYw7Z=;65hgRnjb#o
zuq7b*nx0E88S3Eeq<p;fEgdSVRvC0o;zWi-KXXh?9d1?;V#FrtQP9PKD{ai&Xi{qT
z7qfaQly@9$%Oo)(UJ~A+`-BIjF-b`zAE&}khnxefeoTnDbqy>lcv1iN8=9W1REW4U
z<J4cxj5vt(80R}a#A2G~K3hzIM5}MZsY<NK^K-=matA-sSgPK*<wAig-1HMSp0c5W
z@q~wqoC0Y5KI_$oJ1BrBU)WkU;XpZhc4z;%38Kb@XFa+P)wb(ocqy+E(6WcIc1W8L
zve?d6BB{Z<f%?tkO<d@w?VPK&mk9FR$@cX`l`4oUa8~@R<w5IAs>icLMUkG!P+W+Y
zDlmDGce>2;qWoufeWd5bkpCHLRT@zhG|zL`qzdt))rhjHsVNEMG5yNy<&p~cG&{VO
zw%>tX)uo4BWR*fM**^2R_o)Ei%NuLH*#fAtJRta&qBIK6xczBsNCgO?db-WrLWpf=
zy(_D`4084JlPzLbg*~fn3BF0fNMJ335>r4#1ydi@|Lju*TyIf9O>-w=bQUUiVw6Mm
z?2%O$->Sm?rbi)9=0wqFuE)1N`I1ocDwl1ljT*QejTs;NERG)gE(%%<l99&78{#)s
z3cL_3{vKYn3;lN`HbU1^0g0{Oq7#UufcuKsm%AsVkom8n!(T@f(f)q<juv4m`0Zr^
z#}H}6S!n9{<+L)2T$#jVzEGjcAt>%-vJ7&+q4vq+j|$p#wYH=+QymOBq_WOe5YeB!
zdpAjY)esovnaLz-K<}^i4$nWb2pP4xGwq?En`b6c6Q0oE;<HnC4)BnW{P}xkW<M#&
zacx!m+AmGeW=?hw(;}mXwN}nC)>Jfc&wYebRU7g{ns{{&$fFAX&9|R3sA%&WQ*dI2
z4m7^qa1-%RK)+*Ej%$3RqJiDIj1Q&sK+Ar9l;EU@YK(jYpTDJ|WqKFpZ>9Q>Yadpe
zOI1Rn-sta@OH@>6U)MBkWeB>?7f*-&Q9_$hlPlBAROH7$|4pOI2-s_AR*~E9zmz8v
z-sDI@WO~>602KhzKFg>1Roipv|7rbvN)>TASEeTS0yuu^TG#%mjBKUl%45GMqfv3I
z6t7Fhz%5oBxTiuH@oi0I3mjEM90h^W<Sk>c@W^~1;HHe`wc?*&DkGy-X-hAAFB9;6
z!<x_BsDzxi)Xs)Z%A(?~gDt<Go50CRfBM(-O6cNO)&wVU86=aIDecv10<}u)ZO>Q~
z(T>2Qui46XA+ciarN4tF&|`7lezsp81-yT;ULLX&ndjoBTWu!LY>_aXm`+A^-)P@y
zj|33+Q97tBGyw(&xj>=;3BAm6@y;~iMGIT;RUBtcK;<3-t8Sw#Vzx3)x%iU}jjd%G
z&q|xX*JCH5Hue)yk;ccAO>+h`^K_%d{*y7}HjiV!eo3QTPtgmv;@0pf|2GHUoiGOP
zS_y9}Zz<Fh9MU&@cNQO?5=}JR1ZWYvqIhgm0^K;_hlh?2;Hv4W8?K1}Kkl8+E7&83
zWF(Cjd8WVO=ZziMWMl!}Pq@9GsT4tUQj3RdCcUt{>uJZh&R|d>J2qbCD1?qQua7xQ
z*J0Kxk!SX%7y;j2)7E+^0TlV(@i%+<H|!@{fNFTPAzW;_BOSTD*Ft3biMjj^jAQOi
zOZtKV2=m7|5%hRb41af}@9GasterBfu4n+EK4HZaK`xZmJhINN^#iNz)>Vl1(g%r-
zd!c){IM6X;^NP0ac1*ywFgHJ64~}wJ-nDaNMeXq?Hs3n5Vk=6Psn=(9p>oqa`r;fD
zvV1&}!~6X+cF8{O(Tbric#gLV{ny5Tw8AR8JyUUv1sm0Ex}yVWd@%*;Yjnu#++6;x
znry8447*~>s5aOL?&Rxw`ww@Uz7SCMt^kjFbhPZVxi)wS?X8=h|BJuzVcA#{tH$j=
z_$yq`(}Ml~UIktHZw>E$VdIxJ(}a6jncBB<X~B<FhVZ4t75q&hlfc|)JD!wti0^8M
zCO8vZ2BU_SaQ_?&CbzC%IAtg;#b<;DuN1i&cy27>sxbC>(yI^GyBw?K>r8`aFL|=H
z?*bnDPYt{5K8Rb}*(rInYQW0F|B_xO&f|GpJwe)T!+3Q0OB0H<254%EHK)za;Vr%9
z6ix3jyh?^8p|U|8?yf~j|BIT#*Oi+`<1bC(;-c=vS!;Dz)?@4~+&zc)xmSOX&z`~G
zeDv)r|3(Fubu3*%XAYlwe3skc{2YFnC;Y(H5h}2p9%Kk{n8UjZd2ZY%F5q)hr%NhE
zDNs=*krk0NhnxMg4YVCw#E%L#w|0k6fW@a+K6zsf_tp4xFr|JO_vbt0d6bg^`qSL*
z*|GEZm%xy(oz<&2<Bt`xmxUTMrjHBD=r7<?|IRel|6a$(bLg7hT~vjqDa*nHzD4})
zWx9Gd;wIkSdsXY*D;1ElAGPZsEaA%ORpX0yxA30QM`zBgD8ru3by|?}GTuS7`Ys|$
zkDl9|b{fN!!SdOYeFp<paM|S#y2&>f&{vdczc)b%o`u|FJvg+AKP@mzr1CSN%?Qn1
zABGg6ezhmD>FPS3du7GX4>6-(g?+Zsriw6K5Yu(rdIPsSDt(HO%!*F@%Mh8$R{(w%
zTb}{TfA}$=*AYr$M>cvxrH6$S!1SlfhJ_&=`lL7`JoJHp{M(%TE#l?Dy#1!}#CduY
z=^!93N#sU{JFWgZOpu4Y{u>P+>KRab@fSB27hW{#)v{@mM1~;4J@WoWOz663SvX?@
z9}3Et`YS9?2E&NdmcgIQ=v*hm5v#*HP`v+Hg&*}K$p2b%*)o$A`3|V$h_MTz)XuEJ
zu>cYTCEhdPi)Tk~q`#A{3<#m%K+%px3JJ{OpMIS!AfSH|i;CBWMbJ4RvhCca9DFXy
zoNr&}LMrPs-*rU9P=N?~snaV5DJ@y0XN-A~7+Da%c5$0GC#h*k?Q#%mS&T^8e5hTm
zz>t+q3dyhWr|kP92YoZfY42orpxyh9y^HjdM%`=L&w!5vUN>*u-1kWUwU|{i`%lZD
z-Xxy2KdvN*7ER9nlOTjtW2JGnI9c>%plsUXI|+K*{xI$h6G4H$Pgd8OkkHp|u1oiV
z$zZ$3BzQhi6y1q<WJDH_N8OxoT);*i3I*g#QL{KY$<%(zZ9@V5x4HKt-!TO+bA0mT
zyM`q4YprzMSXM#;qIzq4iWTA6F{cUXJ}Gpq|2cEWrV6t6x;p=UuQDWSzG&*vkwN()
z%Oqb$3R-*De`=4OD%j-3dkJO{kx~=)jvPiRa*es<$!<)6l9{5ory_Fb8_!hd$O;wx
zS5v`%EQt!wzlu3(rIL^e5gK;=P)CySR>UF^4Pg6Hw9q9gk5m{$K9;0tpi-A>E4fWH
z=nJ}?pqQqBhCUD4^eEC$laF=I*%B=X`<nZ5C&#wVj&b}x5=}$*l)PIR-swQgT#2f(
zr!o?{daB0y5e<3Gb&0$k)B{vLFk6$Vg39mj&Ai}4L;G`ypClv<A<4AlS=j?s)b9ta
z5BfFGd$MPS!66KmZfg|(JE?{S9X;Y%=`_&5$3yznRR9$Gkfi!aHMDV-s_OZfin6nn
zTcs+Ep|Vw@v4EF?28d#<M=U5v%0Z22k+H460(yKQbQBc6x^?+HhYI>CdQrCIpeZDa
z7qUK%RYT|dj1-Pi6;MZYiH_lbDM&^Cd~~i#6+xby?y!;^QaUoH)@Wn~Np)7W_E{?E
zv{Y=(4moM`{Of^fUmr8zl<yt5XRM3_2^A6tV?<GWi5yvcJDz#yS)fFoB9a>JL4^)G
z5S^sOLn%`;h%MWxY}6-@<^%Xz8=kWxuHy=R8tbMIxvz-7X`O`htsV?C)otMFw)!U?
z-!p|$<Fz??COO1Vu}e6_c@U>hjSr2JF@=#yUWw~$M3jUUQlptWG1WIDj-!uFz#{Q&
z&RKqGRM=<eH61aJnUW8c2JJKfr?lo%atC*zfs-t^GRPa)Bx<Y|OE89C(GqgD#iD4<
zG<4bh89iiTyRh@j#^7?i^pm)uFnS+XaO9{V6GX&B+7^TZ1UD`u|78+Djmwk5zgL*y
zZMxfmJ*yaS8ZfJbbMT=};x4I9Hdg3=6U=pF(+KVqhVoQoaw37a6OV`QvBKjj#v}@t
z5nTJ@czQUC6|tL{s4>*Dg8Yg??=P|;*cSPixk)jiNE6Suk4jl#%sTizi;V%qL|zq{
zko<@5x-ZsFI?oDM6N54N%lh!nL5f$PeHmAKpY`*y2rHcYB>ytCOb`Ct>q#}Tp2ZJz
z9p@}5V}aaW^61kgU09xWSfQW#gF7*CUb*AI0<3P*L$8f=A$&_V=qbZ@eE+!<Hl}}>
zVdBd}15$zxIF5F_Ul-2CJE`ePwXc|A=74dY->^2Eyka_dD!CD3Wn|xZG@2QLM>W($
z%(S8G%Gw!vs~#*^wC~~S1!hp|zTfv@Td&)!mK2Wo3}Mhh9*hoWhS6xPLSa5Fh;wIP
z-+ONY;}x6~(<xwvbGMF<f4`y$;gWkCzdoMDQXJEaUMw-gpN#n5bqh4;w02NvGF!k5
z`7fO}J;4GWI=<L^@TGzK%-ry9w1icEavR`WV}SwvJo~(H4X}_7PNkDv#SW#tG8WmM
zr+R!)<O#oRy$<(M89Kd=y?EQD9+=1m@3ttO^NZ@BLK_Gm7j0k~mk!+8o5~J5^O}hJ
zuByZDRXXCq>3^8}`vV8Z>p4K9`B-Trzd8)$<}vA{(?RtjfzT$+2@+QlM04_~Fs#in
z8CgdUAJ<+reaPd23c8Q#t)^7SBKMuk-e3Su+wVE0M|i-kyE}#UhXOJC6y9<fGr?b(
z9>V-XUhwLXpJ%>Ff%hKzMPm1u0m|E>eG2(NXRGXfoF)bOU$PYlGO)sqS<={(R(@Eg
zzs;cAtOoSYlt*>1vw`F6^B)od0&p?&_`I2s8py882UHU|ARuaohj)M=?2eOorCX^A
z36jrk$NC8HH#+PxX;BFBPh9+GVWkQMS4CsSaW1IJ(vM?G7J=TOP}TNf6}TvU7-y{E
z0q=oI<19x}7=HUHDLO?3IvV@!byj&nu5^6y8i<2gz7u($vkGtm-*>7kKQs)N9Q<dq
z3w-Ody*+8$ar=0&Fz+2Ok@v8K#aIeDv#i*i$SQE%Uh_fnM*;AeIGLV)MjAq1?0zMo
zr2-2hu6KXv3V|5qhCyMm3_ScH{g?i@3QW7151joX3>o#|o5hT>P`%%oSW%_|L0!Tj
zyF+(E?wyq3Tc_k;EoDjOh_WiQ=ccNRnTmn^9EaAa-z11_NIzxwRTZ9HWod9%l7Q97
ztngqDd9Y-jdbvAG4R(C6E#0Xm33hc(#f{SnK;?9(W<5v&Ow&`PJy!}67~|iOt|);}
zm700!5(PXG)5YworJ+ai!O2Qa6>woH6+ifj3cSA$T%eB1Kv2dl7NG=HIP`C{rZ!m}
zauSxECj@0-|5lpE+Fvz@<Eqj(PSt?nL{^flr5tc(A8@Y7rhujR!YZ+f24|vjaxyNG
zfK4%bjYFLZ$r@`1(ipXX9BX4q&L_jvrOcV4$5iNTywG5IN*k1O%r%P|<Y9T?QMl#=
z6*`Zbm=MNwV9|X#YIm0ca2vb5y~e5z)@s!T<yZ8!ePFV>|2IXrJLl@@JG-4P$ivPh
zV*n!D`EVd#3EbtT4mfYuUwZA`HBx5?@i&DxDF>CIR)gM`MT82^)cN@{JTMqk3|slx
zsti&FGW+Sb=T-R$>)amz@Zq+`ny!cn)c6ROalcW8j5OMXJtSjTzyDDBJ5dF2rxB-3
zZ)Iq><ij2Q!59|Q=|pJr%8)QlSW{?HfRIZcdoW`Y*wee`kV2F)O!rCjGjEaL^O{$L
zb(RT)ohB#^bt*x1tx}kTuq;HJoGE4Bz8{G(^yk`F6v2Pm+<aVB8ZLj9EKFoH1+&0(
z&waxR5V-M6EAgE;jAq?=6who5r=57iB%aAb426O2%^6{kUA9dgm@t8~0rY0Uo(!3#
zp~kzC`5|JL{kww|CSZ4YYqG0P4#KafER9~{gp>ffNZ~*eFw<iVd+ja@$;GaLXXu&X
zxOsc6x0DGS7xlJl>z08R$(3^7%r~+8;UITQWDLvvC9l(*q#-Bnn~&`Kd5kdP5@_XU
z46F1qDm9goFn!}#8*9uTOpVL-mEQyajbteLx=$R+O=V)E#hS2c=zlMB8Ng`S*+Yyh
z3Xc>jXY0CN;pMEIbe5a|=Fa{KZOOt=^7YnvzsWZIPt_rpFg*;`RmJJQPz2!`bFr@c
z+aBDhFhFU;)d()zTJJJk=Le6ymZv;^_T#*>9FOg98p3qwr8ledyioR1Tr9|X5Z`~e
zbDwdA0UV&7(Xi9x23|xCxE?!*+jVGVsm<yG=U`zXv5x}?m;H_rItTDO<%4EM%KDJJ
zBp&)?fE5Tq1{3WU`tb|lqsKhX=mE`r#X(wUoBQJ{Bco!!an;Tt+rV;NQ0n);W7)+3
z<Mc_4E$P4T0*Bdez@!Tr``Si=>*&CG={Di<lkYgym3BD#unw@&B6NC2HnBUnX`;oc
z7M$gP@on}JZMc~=IX?ex9lNPQ{U|9|hucrb{)*+&2EDjs3(~(8OvYj~tS7!4KNEk<
zxcRIWh%(k(TFG9*`hFj6RaWxH3u-Z^#~qqL<EM@%W-nkewJ+vEc9vm64|m=9W~>SR
zLHRHG7Ur<TbJiCv{A)0-@j`;u3mSZ~PM=PTpT*>RdFCCnnlT+SIfoos8hnUpyK%j7
z8au|*TX5Q;9rNhR{<W5_0ZM%wOGg$bu`eNP`-6>tVkcvVQiX&yfO^$FV(QuirtFd)
z8z$F_B@xr^^lbA)oz&_)cVQe$Vw&O1it5J*Z@&l8MAYF1r>$B1n=#D&_dDs+tAp5%
zu>RwW52$cA?BrSfy<?bb-gUQ(pkeG|zf~rUOa<*Y>Gt<>W7t5@>wI~pF-$05(zEO(
z1=yAH2N+GqFlIg1$|HFb*lFdQfpex5c=7n3HQ&QA>{A%t-sv@st>M_gvS(_bCFJS1
zs5Oq2AFIr4%$dbzkEHw5bgF{v3rc<o+XU7UF%=l1G>>`J?Ppu(P=!(xGCOt0B*uq@
zmGAwsfYp_b#Tc7zb3Rqt%;3-zR`Y3I!Z~IME49j!h`*`~%Y{s8KHsJ>7uEJ%D_$#@
zIZ5JpORW-oOAhJ1V>XMm?$8-}@3V%rzV1;X@G1e_eN6*%qdBZ&aPs1#^uJhx5Q7i6
zDMIZpN!^CS^H}Kpq5jdon^@`%4WG;9+gym#YgoIxfL)Fgy+XF4gU!teo$ve#u)MnG
zG2i?mwrV%dA5lsVnpdy6`v%H`(GXAatKemffxMV_$dD0!9aQD<?<K>(l5Xw=(kk{o
zY@>Yd6cglYuqDgvBg5}@&lBd1>saYYrk%ERERe*q8qrom0(Kw7l+L?>H5W^{KWStG
z7s+qdQzj(1|6*F_$o_wrW^>-pDJBA#=qEKUev$)$yUrA?lXMWb|9u}RfD0N_mM<k7
zmV<lY%o3T~K7{AR{(YT1ypZa``7L%v78Z+jr+ap9_cy2=mwST`RBu+-_9n{0sUMl%
z1~W{sZZ~dqTY3lFvH4MgFj?Sa6VbOoEWjS|WPih;0PM=Yhi9)7;mOe-C)(b#!9>LJ
z%Ig*(7!M?g?5QC_-+FKq(+mgX7mm$;o)CfA$IQQ49}wX*$fz0}<N{%QG&ev;45qd}
zpf;We(?k({sbwCB5gUl&tB`;;NmenXL?XD|aeAWf!v|3c^TA!ZQm~W$y;nvt5eN)I
zNB`U8haAJh6?A3NKrT^lJvd2(9b4}Vu9XQu%>@bC32P#l)R$ebww8tAH?DtO?+O9k
z?B@wjMmaEWD1U17T^1&ux+oc?i2xgaU{Opb2`<Vwm*BVLfa>~%*w!ElmA?t=CfoYi
z)T*{yH;e>wU!`L7<R##cbcSurcSUeN;S4>6WY8Ec4|(}Q5*B_u*790X-u78<v%+N*
zpgANnl%ydIte=GJqGi;evd~k}a$FIPWt6gicq{|gqu#_g6;Qy7Xa{E7e!+w=@z+yE
z7TT&}C6y|vP<JfI^64ElV98=sj(s5q*ZCJf@Pj&Zy8fzNFrq>r-+5EzJ!Htwq50n~
z(f~_4W3Q44br3)5W0O224*_=LRW^Y%NS|7?_`7}2c5e(MXkAi-HJhUS?>ID}E&2;d
zb3h9^6rZ#d(rx$s(qW>?RTIV?L&~P5bYYmI<JR~o6`(Ir(wg$p1lcuz1=nzWc<-Mx
zR#Kn}9|vw1i3@51lR|@*#ke6f`#rs<SE>d*H(G`SJZWI@L|sZt9^h>q!*elx3OLEo
z8K~Q8K#r=<wOMOpsHPJ<y%Ioy>L0n5H+!k@<v$VL(8DI+_*5c9E0O}NhY}j~B`Dx_
zkjDGfz!XeQw`7^RQQ(V})255QGFZNX-JFZ2P>YGV)^bz8yIVx`!4w&|mZX3B2Ae_Y
zl+zbKNj2DIoSgeFk_aai___va%)rs9VeVqH3PfyNHw{0$3%+xE$_n?I!8;3K(<m)v
z2vf-U=0_BQY42`{-}Pqj<<!hU{DdM5G`1{{@8^P__4M<0v1X9$>)L$BM;?S;jQxsL
zpo777p5_uoGuSxtI`_a~64X>t-T12pF>kS-UT4cpfg1H$;k33aoY8r#5a-#C6D$>4
z+*D2B#-iYZt0FQ`zB&8t$K4ftX+Mvt!9x@9n$C*TWR?Q#N@3;u1bQ^oWKHnkG=Xxt
zYfruq#G!dJc3<2eGZJ1M>+TFShNtV1B5}qdkbC(<@$42Gx|@)mbaouzR_2erLfd;G
z(5+Yda2Em9cabaSTmdSSVluo>^1<KT9W0FjoJdeu|9N#e295%zuXR6gg6pv#2X9fi
z5F?&_+quFBXjQ)D!n&;BEuSE29ma)Z+t>r~217_X&s3N~V}L{^jlr%^E);mEK>Wst
z0qEHKL80?sOopezW5a|CeZF(9f1SqwMwL>uU9=W3y(dbVTr-?#a>H)g(o`ST6-o<&
z+D5SBet9RpC2*o2ch83>Md*Q6@vW`dsPEYQLs!K$H8_!Wi<KRrUKdLK=!A;1JitMQ
zX0kL$KysPvtkZ(JaQ6nm-Mga$KTTJ~y!$Buo$gsGP4d-&rJz?sG97>LyC3h)IL8x^
zhWsDexdv^hKJ{VF^UxG-bIQcH^)>;q9%`>-SJQ^&9B-Y1=y{yy+<!izuLwxR{;e7P
zeJ$ANm*8gQTgFc<Cp6a4b0V44lMe|5EqKV9eYxz=8h(7{#C&}aC#v|HA2xec6Hc6K
zX<GK$z;EyQc<G5C7aEsjc@p!F22Ar&zJK>^;UCsVF68~@LK15up_LKae!w<-D1eI|
zHF$f~t$gQ3we3fyBH3tQ!04N{ahd@+j3*E)*LcvrZvXbaWDOXz{O^QWEhFOCF;^~-
z%ZqHK2?e9_8X&1WWgsrij5eM;s<rgyLjeLKB^BHJ2sLo6rHf)gYMd+*TE_h7!bH@K
z>u%~muk%ryJj05{WU}&$Xgg3__^z!R%<6EQfm9NGiXG9>#n~jA2%wDDGN-s+P~mb&
zUCYQ42NEJ)d^F@Eh(@eQyFxvwU`uW(@4v^1o?4WfK6xR8c)w+O7)eke#_qtQaR+Yn
z?)8J`{Q@FLEZ8@0q?ZEiJ&evug1pG@S}Mbnl${9os5&OR&BZ*1Oz9$CJ~W>E^Zcl`
z7&?o}?!{fEK<|U;^(YB`BsH&_7r7>mItE&!C7mg7COf`R&Tt1xeZ+o}uX`72?oWwt
zHle`YKZL}Ya{@?HsdaeztQ6{UJZWC8O#wCS>b;T`f~cl>WXG{cX|!LYl`Nu1fjNn}
z=ubO^k<n1s*~uIk6fW1y>%5l&wZcN7^>;)N;<FrV>L4N;>qC~zeiYdGOgf`jQWWj$
zpKdJ@l0yfIi!44qqJX1iibr{!7)neIGfeUzp|prg?uSPy@b6!6Oxkq`WD!xn_2D%c
zDJ^8UB$-no0;2e?9+5<cB^eXr`4!M@f?cC^1r;WT^mEQ+OCiqBcAxalD5A=Sze@&|
z>R`id)AlG!8qpt9gy9+`<i$wyotjk##^G?;hXpc-Bey%qi$?`X`soJTdZhtrnqs>p
z%87^!GDg<ss)(y4{$y<m4X(DBSu57cqCUeHdzX%?q2d(@oya6jV5A&&kZY4e&W>}W
zJ~;~dTCmw%S){eiYiEgyE)wE<bpJjrih|}%>Ge(ew88pp^wQ{0GJ5?w$@4R!ppA&i
zlqh*!xH<GnP~ww3x=h^p!RRLi2|Alr23^$y&iwH`2OcRP)t4Mn^Ys+;KL7v#|Njh^
zcR1B=6u_-yZ>~MBd5vpc`+LkJEs-e7tW=bQ3MpF>MMWr5KU6f7GP=h|(-xwHWY0(_
z{QCDi?{m)czR!C;=X?rh6r0k9On@|Rwz6lR8m3-;N)Jh-;&gb``uJuu@cJE@$i1kB
z!2^6ooRU;zJG7Z0y3ia%7vddWAEY2LJ9YZkx+YH5jK8f|B%r=~H)p{E3ib(={#P2P
zf!2kw;~^OUJJo8kSCE2KrY|>{(kS?!^M@)vX$xTcI$fHPPeBpOq$6!7R8idSQL$^9
z1?=aW*|D&Lf)Ra1J%oZX3d~3`gicz(>(5VhJsQ<8Hm)?)^93258az9mYgj^gQ4U+D
zxEiL7IDh?UEsuXRNc?x4EFph1RDaA&6~m9Rv)ewG!Ol;usq>zez%NWDdz-4D`8I!A
z5lI5olUL)tT`Zxp-{aeqq%tmWFK0)*6+vb?js(#xA>uHx>He@HGPy@~`hF2W@19p_
z(i<!x^>ym~*4tz}pf$#xPUpcXRi4hwItvhrei-58sDQd_%?8zv*w9d*)|)@X0<=aZ
zU*|H)qvy0s7?I43wSQ=d;W8Ewrxw!dStg68y!6r)udLBi;*L2-)&dOVauKtA(&%HB
zbnJNPZ~F3X{>#pu01Jk>tWS?gVt{A-J+;k0>6`kt-GBUtfUKsT6;lau%)7<F|K;E$
zUE$iY+HV~KB!sCR5|boc{?d?85I0O0mk{NC>~9WgP4<N6cVT>YWF#Qz#vr{f=6YX5
zff<PK$q#fh3E?$~^S`XN_R~F^eyE-wFopCaFG<5K0;qFZ;%e@TK02`wG8!Ro3jfuS
z`JAfwu=E@2k4DaKbo)&u<5LGsU<aMN<xVjV7TP(^5m)=^4MD0Ggr6A0JsZil`KnyV
zpZ=%Pe)k|f{hRh4K}KU}5a1}H{A9=Ir(3GXMML!PD9MURCnH!SbRz5+*sw8_YhvHA
z5&Gxl%bnLA8p5`kwKn>8R%EnjNg`hyrz_N530>td1cNA(Wcb2@jvuaDM$Asp6UA9;
zHy)!wuD}j~*gR%roxMFndpk?_m>vth*=_(DjG5^HH<>Uua(IjC<Dc|_#d6+T<_56c
zQYccafe|lQn^>nkTA+u_*z5jzs1LVTH(O3hF=9gd+(OvvMY`X$gONAo^kI{)ThhO`
zM^?wVME%(%x`(eeDKJwH+IO0jZnI;+Ti0ry>FWHU7q2XCI4rCO$D2%d92922AnR?u
zA1|%awN@(6MrG*2fgtztS1b%zW^inTkC_1(nGca3i|K;11Y2Ib5CgX7KAAti{a^i4
zinKp@I*|R>Wzf-z0YByb%sW=Xgyp)O`+YQZK-i^jCwD3X!tuw?9pqUspJZ73`;|5n
z>Sx31G6UAX`24x^;Rak=;T&q%r47P5lSq$Z#KgO2-mLA~h!@kjPL5AfL7_-#(1y%}
z3|p_Z%#heI{(0P{=p-s=UVO6NI>dyZJA8GxRypvi;Op#4bt=SO9nttz%Z#os3hF0V
zxzRdLlPm2%ElA|Fs86P|;J9AgNjD>2l>St^y=z?)hQsrI(R(-GO4#)UwU2zLcGm6m
zxR)k4G7Rro72SvfU!A&Hgak0RWARIJs|G~3|Iu9vW5dXD-3Xr$K@?NJE?VfI0p~gV
zHs4)kM=hJS$P2%OaBbehX4fZmusHXz&7g=AMZOI0yLD9r-?T>m{(Mv&vfU?)NRiw~
z-XXSS*-;dy=UTbyh15agIgNQRk{3nTqF7()i=+EF9+SQ%3M_8smeT0rLtS;j%-?2`
zST-VVWR*h!?UtvtB^w2B^izLL&@pMemX~Addw~MWIe(5Fb`-?LGKu;oFIn7PbZa;1
zJO!RyqBXyJA%s4GYm|~Za`<HO*YAw%fB8Q@Z&xxE!CZFh<-^PJ_%fK9a;cjFo;DP>
zlCLB@3P<d(dXrJ|t8clKkveorxt2NPieV=UQ#}8GB3^JW{M%Wp4pNh!gi|6V&?8Ok
z&d)$)^z**#_UMcTC|3okoQ{-2D@Dy@J#JN$f5oLd=c@^cQ@j>lIWicd61g?8ObsQf
zB6T>Ew1Agnc)fR07Aw}a%ZMFNN4}y$poUQ4xo?|+m#91nr5bi^V$;OnKBwQm?X;nF
zf7B1-?F#6)VUZ*5juwu&2p$R|bU;~~Bz!T2jBH-aRgzb!I9%8=#JpD*e#rT&C$%YJ
zwbJRQz82aja<w6tJzEdbzAxSJ7g5GThmXuIc4%Y3`?dTqMg#a1T4%D|Nd;@NQ<c(f
zbg+~ub7w>X4VJ%nWjMyF;<g7h1HDN)SkwSdK(N0p@<d+U2(oI#^Z(0JLyLV=HG|nY
z*zdJnLhOezoIPG^*nOLVo9h(Te+KJdMf+x*hef8a;+5|~KBJD?+nH88cyzEnwelr%
zfH_bH)@cli8n|0+`knnjZ43$HvfCv9P#wULRhX%PowV=ccIT;h$~l$t_#42fRPz~n
zs|FU^X64)0X<~)e%4Y2w7QlD8UZ?-92Bym%vW=5h$F6rd8_M)8VJXC(i913A*Jdth
zvKgvkGcV8X;HQ@0ubA#LKdp}aMLSup$S9$Q_h{5f9xDhJ${L@LQ%BbmLuY&z<?-DM
zy!_C{3Qjw&HCIbekR$&|jpJh(M0d>&9ycpU7M;>kA5z6+$C3=MS7Lbis~8(~n-$!X
z{+i|yqk`^X*{Q`QLRg%0_u81E6@+$Ol`v*iMve!2_%9~$;H{ml_8mVg;qB29c|56z
zQMR`=G`lun<_;yz#w(W4bni{dg-!*u+L6O~we>GOFy*MiC2dR4`Z1z!NR!9#zlj-r
zL9_JuSE2Uq4HjU3H1|hvjw~8Bo~+vP_%l61^WEy0lLc6WUjM}^BaLi42YM9J%Zc8k
zgFmSK04ERr*Z7hwfuH<JSb|o*68ZP;yomM(nA(1~z<-x027ZekzR^5FJTrEc)t(@r
z@VaOT^^q_R>Pqk2F*8MoT$yXK+(5wKwSz*E=7M;%(xIVxa+ZkG|5g8iYz}kp&!oq%
z@!>7DL*udQb40EMiT{PY863Zvc(h}X8~@r*A4&53Nw`QR$b^TQ!o<#HcRLCPiZ$=O
zYi#zDV1Z9fhWAb2vwk!~LK`dkxO>cMKc6Ff;zHWG{{6T0@<U%^+L<x#XtGc3*eoGf
zP|qo+Yz(e7?8}E$7;)uT%m$lpGsNsp@$q*7Mli?SDDpL9m41(5ZDH%PDZ;t5ZT(!8
zA#f;g@K6sg(_Md66we1u5Zd)8$7gsAp`ek3J=MSHuZEsRBx{Zl0iR3b-W{UBy{!Tc
zCh<S%F0W033YUh7sIo&QwG9R!rg-UVV9*TxkA{01`Rfp&ZNs#Zp=to%9SUmRr;gJz
zBK@C<4Gj`?@uB`3)AYeFYKmm;G)%W!680?=7$8oWC*Jt>R}UKNNJ1(_gLL0n(r>%2
zKH>qNj{DS6JqTG$|Df@wk3JMA*Sx8}mvCBsaGzyB7kZ4_JQ6N^rhB+7PmU0u39H*p
zJ*#_kp^!7@DffpCI*%H^?A&}O!L+KnT-Koj4WG!C;T0|P0)+<3+)@W|?N*pByORz?
z-{if~AM~DH>`1>~X5UWujB4)q(y0w^XSH^^_|?<B9!7cH9cm?t&N+dAyEbHw43m#K
zzoOG;MzaKJTZp@-W$ROisqmRSf6o!(8NIsA#;v)knXoVCl_O44fp&u<Z|qJnooC?0
zjza$?;+xLs@CIfoFt|()laFQ6gBYz%T4NiDN`oC2awuBRPkDhhBb(^0ZuV-<8yktS
z$69yUTr?pii@UAeErT$)m~_!<>?1+hzd?tbpaJ$Wb0c|A3kXh~xBsD1Bf&b>Rr2<g
zItWO5G?J$u5}fqc?7UTt#4pp294#vpV9Pvhlx_Evuwt%JNx#=b_;t_42%A#iik*ny
z6W?;erRup!&rma=wmUZS)CDz2Q_B@J@UA4Jje6bfDq9G1=c5aajjFKgeq4#T6P;+)
zX!Nr!X(hVbHXd4)QU!K_(($2!8e+eutF7<HHiG^7>yht4Dxd@Udo7CV2&W*ebsDLI
zu-+mT=k-w;DpLlEyJ}t&r*)_*W2v8rqvqA8_NpnvnTJaGV)JhZH@A!P=B8c5gZ~_O
zo+K;5_Rp}#&E`G9HoUp>w&Z8xrfyh={k$SvbPYN`OaDj&4*h17G3X_<!mZ;tJrrSn
z_azY*|7N24x_#f-OJ50R_jyY1M>2fM95|t*)Jo_UrFBUN^%ED<0yXmqGU$G2t6P5F
zM%>8#zIl7x0HGGLBiR1A0+35i>;68{LF{u9iJz4HPAnYw6i25jKnY!kvu1NAVc|>U
zua687o+7C@T_O+16pHq_Id>C^M=oWO`iF_#&HeFjsPZs%anBeny@zlYUSZkAGe(R*
zAH8n!Tn_wjkjatjE8(&$<xD`>1ff?!+e;8~V0Tq3pH}~kNJ(^h-$9-x5*Uen??1@G
zLC455X`TZ_z0OqDo=dZY3u|;s*IrrB4bpCnXZubBI&BzY)c#4t6nG^z^~r#-PFM8d
z-XTIHt97ZDae;6a-95O%B?B=`B`y-*hKWVn>DPTMi-ds0{V01&X;=yA%Ht3lBMzsW
z(Y!(|5uwC3@?fMCkPaD0n_ZqD_`eR5q+YBL##`90E!9fGd*vt#FS}`CTlFrw^Ql$h
zBF~Y?9v(?ZD(B^!zdK9h4j0`$OfbOcl$`90mjpzr_^mPR{7Iatyk;6T%?N{`2UK6t
z#UcG>g4Mk00`W3+?dtW9%n-!2v3F5X97-Q__kYq~BnsDqH9Gq?K<Mn**05`0fU@3(
zo6jr}H`E@njjOT2z@_l_9s*)e^i9(*c6Eh#5$eS#P|g7Z0*xJ<H$_49qa34u!zz*Z
zif>9Wi5tQRYkw0RQRqAP@~2Gz1Duz8W7_1*2eqp=*@b&Z;Lo3LDo17lGndrI4g3P|
z>A3ZZRR#$>S;s!Ova>)U)pvu-svt-%-d+?uNCG}yozv6utgw7DwpU(C1Wt0Q#$4S+
zg0Swjn+_ptP}?6c!Vw}0Eo#NpRr^UGWbns%J3A-bys(rk$}Isb!K(&$(@1cQ+jqri
zkQ??G1XZ|?NCDsNE3VIGNnj@3@Z?i8ADl4%?KT)A3-|Nlxkh3|A;}3IS%CmN8fVt`
zHI;|gyINy7_K87?-4F7Zsu0{7rWx``lA$>3Qan$TIMkg`BAHo>fV6mlAG@Lwuso^x
zZObSLK;kcqz9I^VOqI%!E-LUo@!nYBoD^`F^#@-gNr2MZIZg2=YA`e`{?7+x;ZeFE
zbLJ;07@c({BD6K&`i%0Hh6*{DT5E`S?<WhJs=H}1%~}wbyG56pqX5rv$}D1C4l*A&
zSesaAL(PjI_Jt8eIR2%@==@U!=t)Va;LFtk1B0jQQ-vxZnLlr{a!wKWwlzEpU(o%>
zofij}CMj_6UW=sq0c9|JP}T8_rVnI$3t#(JS|COrS>@ZR3KQ4zm|I*7fK<S@K<3wh
zIoZS7tN%Dx_bab*-GT;2alchgT-1X~q4&|g3K~$VaF-!)fCjZ~@i&?`(I8n((B{Xi
zCIsmX%72tK1p6a9jAD$8LHH1Hs&z9JN?PTeawlovI665P>0ky|j+w=X{G~$DR#6R_
z0S%<RN*t?o0Ce|QsUMBi28Up==$1u&C~xVmd->P`Y6ZnqUw_ettlQcXayok8+w!-`
zf!_-5GUfm1UC{=0-z>MB-`bGPX*_KP*1$wW{gUa`hLos4ZO=MQFxc)G>qNDIkP|zp
z2g0>sRMzxqv!W_wY@2T1(`^GOLG7E_2dMBD_Qg(kDL~a8gJMG87G%1VwvF;o!K-{?
z*Ruo(@J(!8)3dh)ab5pAe<d}+Ry-j(nvWm!7A(foWNbnH{>XV!2L%F>w21yMYeYuZ
zDY{sV4H(oF)o{3~0&eb;w{Cw*pWW{*wr*krk<(cRENhftUA&ygefNiM6S--HoMR26
z+VpNcSu#vMCdCPyWkbb`I@iG&D~M|{=n0CGgXD-|O~37Y=$~&b>}F;Kl$|;*Czzx`
zX~FYV%uYe1)%fW+CR>7W%VbEio*3xxn5_7n5XPA+4r5*e7Elp3k#_m95X7!j<UQ*Z
zL7$MVRZfHj98g(G7>MG7>0=ze4lhYKHXs>x=|6w~tIf9rx3a@I%3bF=4N=UG;|>ZH
z2l#6!bg|He3B=4@b}_k#V&vi;*2h`|^wb1}H8lPvY_}PF4cjV;555|Xs+pTZ{FL6#
zhk2vK@8Cs;hh$OYFeb8JdzeAke0SaAB%OGBo%7(#1PQyl?{a*+{Lc&GwK6ube5DJX
z2|veEN<s>KaxJ~t1pb~4J!&N|Lyx|s$j1~)!j?6KxSNtDU~^$sNo8S?E-a%cA7M|z
z<!Tkli>Hj?&{>IZY1ymvZ1&UX{+cAbwAF9e>a!7Sy!Y(QOd}&ou&Zz1r9?u}cvX=e
zTO$Y#3Xo8UWx?JH4lR%LNGMxkmwlz$5Tt)>aWGzI#Y@>sqndk3I4t0FtIyOBu2TP)
zRoJp)!kvV}-?B*PH5rh*yPgI?o3zAs_;TW!7+uY4frPn5A3i+WMFVb;5?Z@AH|}-z
ziDW(`ipSd+#y*W3fYNu~!7cW@XzM>;+V)EnnZv8=?<X3-@R!J#waa`MwXtLPan3)F
zu-EpmrW$~S)x-MoQ~byh`R>Gl{o;7+!^^zdK7HstygX^{Du548-n5M}mcVQ-k3#nh
zec-#|a7)Wf5dU7<vg5j@BrekKy6<<=hpU03Ke`o!@Y#|e1GkA3LRicZ1xbB~(sgjQ
z;1x!LBMV{V{nEJqv(9FbDLrr_)P&R+MbH@cX3b~HAn9tWZP^<=kl!_(#rH=9caC^p
zp`4P%(w_-O6CUUR%a8-B)*1=3Yk!FaDa+we^X7H6f4(VV@n_%+rx^0JTil-*ltY7S
zauLLJJy6uM*_*E*jvEcM+N18t<0;4K<`cPk5dMR`d*dbvRLIRY=sB){H)WGkf}ZHX
zrW>;Bm8T@pOZgV>ZXn}f+4a@Ac0JH#&vObXmBNY>q5Z1@irDz%dVVIeK2)%8FHD}7
z#-~eXL?eb3aihGEDvRa6`@Vb98!Rh}qEZ>zVlR}iGPWi9>1BNo$e}kdevn1x5Vr%R
zG0MouzM#HgN*|UUHBk?T$>E=BnV?5@DtM>H=ONk60DexdANNs~$FH<h77BwZ%E?HV
z{p~b>`{~y%9_*CI6onqnu6wGOadLjQvNsJ(25)8Ej#j|zll<S+4b?FDzd`T5RT`+)
z?-*THCu3|5A5UDV8rttIVxGEd2xXE%Au=swtdjZ=VaG<nc8%>81+GRwS)yho_$%VQ
zifb<=%qbW$l((rv#27AhFOuVy74eVs-8IFn6jT~ZHT>9P43&GkY@E+1p<tWy_pLe<
zbjf_^?3Hf<W)<v12IES&BX(cn*$Fi~NM$P9;BN{FJra+SY?bjf$1ZAns2V<cpfvbd
z!wi%jY|EZZRz}xnvF?LisyOJM|E_n;42(xFk2+Q=<K*^}VlTN>@%%m6M(!+gI4*ec
zqFReG=1+Q&$0b$p%}<BX|BMOvv+=*{f$x=(<(KD)Kn`W>rn41ndP_jcxks+_B4u3e
zmp^>+iz4nSl)l3)3*hB1@9q_#j4AHN#+b6mIAfSF&$t8NOUqV+tzyb(<uk@wYOjEI
z6Z&JEPXd$$yL=)&P(s}hxUak@hl#IovOW<Y^AelTq>2)<>^;}reMc6<kIAnbzY0+L
z^abm&D~kB#kgkaGGiltnV{2JQD!}Z`T?UyGWSresZ*c`A5fcN0pI-nlPU|r)rjfCP
zqv%$}ycl}*&a4an^JT`<>Y59u6);6E$w{V@guZsM*<yA8FUyQn-aM1X+u{d*{+blV
z2TsKUf206J?6-$IP0Qh5qky2TCPHXA=4AW(GXdwf7WLjxlEd`G2VGlg1<(*n^K*_8
z;2_gBvBgsszX_!72|v$|LFYR5YA>2YKkal`v4sqBZ%VErhw>r&{``!FFmvd8A1;y7
zB!$+zyA$;+c#)S+Yl*gK2BgcEa>|cNqGOH&gWNA}oHzFgA|E${vy2Uz^U@MX8FiSc
zV&X>oZvH2;Bc`z5QE>mU5iv}5-(Pp!iwljrR<u5Nn8Nw(+hS_oh@$!2%4`J}7ls^i
zZhid81Pp|zZX7ivyhT3Cd1{3d-*ms(5w_I?GT#2}oNpJwV>yS4SQNQX;AL$`Q-d)?
ziD&9IGKgT^Vy?j1I4)dgciL=cX$+R^>)u(LgfU@;v+tf5H}bo9n;t+TSP8c~MJ^P=
zCw@**;yv8>-o{2E%EAcZ@JtAsyb#V+C7e;K=Rxc9Ki)7m7(!C9<cs<;LHz0dA@D~B
zFPi&>Tr}He2yWd44)yy5F=)zel{uCV<9CRLobI84uH?IShvWq@R*<WEk;;!*T~!3b
z5gK?`y>%7%D}Zy7a#Wn+$3LCSD8@j8(=oF8N|ORO$^BDNuu=fy)7S-gvkc(Ty^cJ=
zp8{C__rpNf4MFso9S>1AG60SAf@?0^g2)n=rXwFOgooKGS?j*)L&?J_>2v?MEl~1t
zRXI)=6<1_U)e`i<lN5AA<$@r(QECHd*F=zGY@>ILp+1bPn0;gJ6+}<1^ED63Nw}L@
zH$6L}2gN>1r&>1&q4>Gn(<9@e_}Z$voKm6(4ZbIz9C#~)12+}ln^VOxxKmPc_M{%1
z-&Zh`yiXW)J_b%L#7p42zU<|<7J6{x;(fXiiwHV6#i*$Ml*B!;OUJi~>OoIPj=(m$
z2r`y=(cT6~<ATiXeM(EZ(EX^@qT~_@gO22noLQB@!@GO-u?*@0O@=b57buDet9g6h
zHOZnz596+)PF?tQbugvaTMV6kCh4u*lf#bK0Lj6B@yrJ;Z!7)9kq!$^QE~EE%x~rt
z`&}14RhyYjM@yirRc(sdQ3VW(^y>*+)dkC;t)l5Al1Mf!H+!+0jJNe`yUr=<f#z`I
zmRDm^ct~cKACI*nG6|*6U)rY!JLv*1HS}aK&ak0mOj`+c-ZcmL+|h%Ro36FV*~%jM
z=Cw_yq?GZacphuniXPMiZ(~{hEsKoWDe5lFD#*gJsK)B84~dprY<8E(p?0uySjjgP
zTp=3dAAZq?jX}w`9v+m(*LzCeik7Hi)+*!R<AVn9y|v$3MP32-ot<pQ!)kaoeee=8
z(;z>AcQ~(C0ezALjKjDocs;nFNazs_6sL~vD@r5dk+wFSzN-}EzW3&w-w{Ko4&9Lz
zYoUng7Q2S7{-&U<MSpXzt`Rg?y{jWe717Hl;9G>QI(olpRbFE?hVlzjVoxt9;hJ&Q
zX+A4;RDSFk`f|V+plXcq4!1IP5Zw3j<<;@Bs=c`{nn1yxZ$q82%E(P&X~Jd-u83b0
z>d7^Qtl*SI<56YoN~QUPZl>THb$_k&Ff(YKo20Vns33FkhYiW8Y8ZXqXl2089C{yb
zk^Xc*1#3i2JhJ~&MGNHNljI~ojejntKS%{Dt+baUuBsr%aUIpc3Ig2RH@2`IR6&Oi
z+j2Bqm66l)a~?(QAOF?=T27d%VBqM3<F1TKxJoJVrTpXV^v~XcwFPB-IT2W+m`+By
zUkOp$vH^tG3I51bW%R7R_$*so0qeX2HD~Am--kDL`SL5HG;2%Lha5RvUCWyO(E;FL
zYIoW7-+YuJJ=kNXB#UDOF$XU60tBi1-j8ll#4c|Z&x}wh%oOD$!vCFb-x7W*kY5q!
zgfr(W--)B_sj{j*1YqJ9|IlwsMk<@hci(^euoPu(Vm1$eGCfiLAV>k<PgNF5bBG|(
zZQUw$`d{7Uzc(^&$m8T3wdxUz5EhDT-r2VapyAfkOZBRM{h-i$(uWX0oRW^e#|xmo
z|6OWDzbq0BDuR0}`0)Gz?WZMo2zZiqYDI%x7Sok>JIsyn;Q7O+*AK}M@XF64kbGPk
zrEj`!&2QtvvL|ottJBTFWJBhd@Ha_R@~pCw)!@Wb#Yn0A4dyVd)mL5YC4n)cw>K0|
zv*Wl4*KplQGq@hjygO@E42y5y&12+Y$M+U}v5EbrV7~e7*yv+XG|akFGJ2j3$@F8k
z5?f8dq-JJ(C5nW5W&?vFE!fa5_$1qr3KMWT!*j6shzM@GGthm(nhm#xwY@b}HGvPB
zdVlu?31cOA8(xTJ!`@uWubNrL5EFI5Q7l6U?P^xEr+>4dZmd*%4Yx6T-eT`|vt1Ag
zs#&{oHaouXvn+OxF@oblr7eCMg7|3c$dkw;9QdlY?1tN#Aw;l0tL@4Yz=n&n>MCBG
zc=zy+6{c`QaBVi5rBVg(9!s^0b_5qzVZr!~fBTqJ&|jXyE`Ah}*S>YEf*To?f4I9w
z)4*@x2-ETF{8(6SmF6wVi%&G3Fr4G2!Izy}l$rp39Nx_uAi0GP3#`9oTW1@<{{R30
z|Njh^cRbZ^6vyqoU3*>ExHi|d=P@G5Oq3BV{Sqofn^2_CkV;Vsl|-qi$oCK-G9r<z
zBH1e|%Fn;&kLP)v&pFTY`Mh^47%uer3gTd!qiC~)AReEfs1Iu!fXiXcukt$u@h{aj
z&u>W(Z^S3(KB&_N7^(R+eOwU7PKY)04hy044e6rBKz-o+xkaw&ksyW~Z944qQyA$h
zBXT)h`f%92Jk5PV5PP<?a6VcfVK9sJnfMoa&|*+~M|*=1MiyjFR*H+F%YW4|O?&jf
zQI3&A>zNRi+Er=UI*B1q=yAVEDLr_YY2~Ov6UHTi<xO{*IKDc$)yeNG9TF7}E=$!2
z<LPMW1eIwCv{Sg=e(x?FjNLNi{soh;)MH}%Gk+;066Tpa57OaxzRUAo6%h<J*KcV5
zA&tGfcjIL3=^!Y&W4LKa1Rwg4=&w%7q9lFW-j^zLApfb{-1|)wTj)pmB}K^SKt3Ef
zM504^$dyc?&tgb_In3HOPsX%E_gF9R(BYI?Ht&uBaa7(QmPPHC$LSik#w!AJ$myd0
zyUHkuM7P2=#Wo5K7~<<ic{&IfA6oX&mqJmaOZNF66>!5TPY1$^4hy_hzbGfAv1hcP
zi_)Zsc8zbDejlQPN5J39T%TpoFXqdp6Q7iDd9zSi=2JSTntr(O#X=5Wc^AATbt>cE
z_#axOjCwE;SI9QyLq^9Tf0vSODgtZqP4Zqn$k>%bUX+!`hAqs0V!Kq(`tllIYPTNT
zRxZCl9+t;k-mNL~jjFh>*68xlz54L#*@olKiz%3&EO%_^sT#(=Pd5I`WB?*<2F#h!
z3Mkg@;cz`#9qC?o&6=JY!0z$O`Ue~p(ez1tf48m%3UG<gNKuAxo+xs65>~>u2kKu!
zwFVZZWfXWi8o`*m$SH|-C2Wk+iE!7{#ICLjtNXN!LDI2SczcpEp59B_H?vO@7prbL
zZ<8?rN=fxYUtKEhTiKuWB2*LGk{o-(Nv05`a_Em&9Tn&5+#hW<*Tm+qf#WXxW{~FH
zeEIA~6`WeKEtYE4z|#jC8izQ{VPvSZ(6vYff89zjHBr^T^obU+_bcY$1zA#Y%PP1i
zdpS+iUL6}^Ovc>5TYyQ%jl^(8RXkj%xx7zH4e65Emw8GpVWX9tpN^I)HczBnR2@>m
z7Tt#~hfDy5V*|?XiKyaS;I}W{;Zzj-okcCX0C0l1HIVyN1;yO%I9~a#gta`ACrUp8
zxM?;r3!GNL{gGbE!RCq>mfjKTum)hAICAtcqYCo0@4YybLP6G~I`cU>E1)$u-yr`-
z#oF$8*OCD;#ttf$w`yC#nS+n7eR`pci|lESBco+e_{@dKl=b@V>7O0NV@haaY4m(;
zmlR%qpS07SYz3KHij?^Um9VqtRNl7};#hc5W#eIHE9fsull50s#3jMO49|8E)T>T3
zef1T<s#WJb$yfnHgJf1T!-bKrzvtAz1AzIK+QZ?t6ny_~_4YR(LA33Pk9-ykfW}Mh
zp)T^+8I?EBF3XRzO5^k|Y5*Vm>nK<K$T(3^m-tJB2QM9PW+<<<gwd4%82=%QMw1JH
zkvBLo=u-4)2VG0>8#-PXAS;7G>CtbzZ?ofx2GOJ!*Datur^NA1s1)vLoaU<%Wkb=*
zTG5qdbJ)3h&KEi*@YQW0arIS}b)AYFD!t7iO(W6E&rckyEy}gHtys{Nn)uGU%nSz1
zNViJXMA7o(?FNUh%y`yo{N`tAGY~G_&}oMv*tq7QfBh{pa`>>6vc{M~g#Ga?$L^5O
z`09{g&HyvgUw9CyLnh#Kxb>24rZBow)E6u*Sg?;8zcA}$0*|uagxb6o!n)w_+C7ad
zs3k@pxcu4}j@iy|H_i&8v!0T;-Z@r0IFWtzwTdycip9vWI0)kJ!H=z@foynR&G+qt
zTSjm-RXuz5jR5|B@F}|~h#kWj=F?JzjG!WYs4m4`09_e;TEtR0u;$#W=FDV6P%YiY
zce9%x1GvJEbhUC~fQ5P63XdU_zvOjy+Rl#yd1^r;G;W*}N!|SE()znTuJ+!EjUW5V
zu5{HE@?c}Aiie|w0Zbg|VD9Ya!~0fuekX6_Lr%y4AT3WHygKhK`400TC2?-8X^kIS
z+0R<{8Lj(*XM;t8I6tagP4}rC6~MXAHwO2#=)s5QCES+b>*vQCjHC?-Vv9%o@x38>
zAk8SjUa-KAYiDldQ)Yya$l|!FCZGquRI+j<-30J4&FK0LJ`x&qB!+Rkro+G-OE0mm
zLk};fql1MAhEUZq{r{swWk&EmeIr4fvNEU`KO>48_3gv5Wa$uo`rP2zdO=M6*skFI
zRSdsxA$_s_rVBw=bDy_`3ZZa-YFy+-2^`#zGSZ!`3&zQTLmn!^_~_B6H1m&=ICu14
zA@?C&C^sURIxh(0_WRO%ckP$PsHf!oM0;IGpjEK*c9GEH9GB5v8Cm?7+-EAMstYOl
zt2KQsBDkgLheqUx9Qq${$txDoh5X8Q8oa%txU~5<sqiNmzhA%;=6vh-T3<-4XAsAS
zLyBGMgYsA@?n7@C)&=M6C(>%h64=g?UKTS>!Hc{9oKK_b!dOT4R?!4Wl;SrJxbjZ{
z_w!d+;U-;(Ep5p*7?r}_>Ep5u;!5~;;Z4QO)4FgXY`(95rwsO_uIaNFE8}3d<77~^
zE-;_`d7NoN7C+cu`*P5iip9-NJ&`hW_~uq=!?J;lNxuiu;-ghiJu@qCG>H!BCs*xu
zOUWZcXX)YbOjW$Sg%n-Ks|STm(@9!O@>sR;aMJN&H9Sj_9cazd1IY_b^_RLRczWpG
zqFSjs4kiDw{?Ah%&gTRz+P+o5-G(lTv|J73VK~<pB5eSaf={NYcNMYnXyvN-5lt+6
zbzy?CWB`F4gY70UN*K~wKJ`yl3u`zH?lb=~gt{2@S6SPX@t<wSfq@JyTx}CRnm=L$
zN`Wcw^OdNm^dwu1XFv;8A;G0=*%(G2bO^0|r=p&@Ug*tHE%Xe0Q1?yP6tv&v@bg_%
z!Q;Ev2APVraO_7$L$$6M<oc%VcaT=a?uM+9V!9Uk28CPsx|+lEj+$|=R8_pi$u*F$
z?nkS;49~CZwE(B%Qr2z*su)!zP0`<@fih-x&2NJ(fo9X(_J>ama~4Z_4@#)xEfg%C
z)dHyUHxgqIRYPe~8}ap;Dz5cBFT8&f;B8v05_w(~^_$uP9{-?Xz}-~Qt~r28wa*%k
z1*#YvH4wqiuZ&5J(JI-dR`C59rTej&D!wG+)J`QuyyYh<{_&s{T)Y)(a_gZA2CZ?P
z-l#{xsdGvuE2&msM7}H+Ge^Zsw8Gi;jb!w^q4_Q4wiWzRJzAY9Peq@9sSgr+q%rdG
z+qLWIR?r!nx6omzjA_MP#y$QL`0xCgfTCzC=q*(z2b(J4g`INz->ITFPBC?9+-?QM
zHUFI7&=m2@e;cKhVLiu12aQQkt>Bsy>|-D+AVciWsq#Vr<o0*>Xc++zzw4;2#Z5u4
z1U;6hF&>QVGae)502K8l7!!+RJl`vEp`OZ#%};lde|Q13$JN-|w#lLCA+rBxE;js>
zeyZ~?8$j%}Q|+F0GI)O91Cq~qW;|CgKh(0<61FKt9#CwT!g%J8<+f{#s6R8-*zno{
z-XGU<82uxG9;Z`6Z^|>E=!KYwC2k8CSnTesw-iV1C!>XTP5%+{?L{Z%{mg+Y-~7c;
zjwrhFT&mGsS|z4;4cRe2GlSWQ@!42)5!_=Dz9_b1mFP%Tm=b0)1B0gT>>BOD=r8M*
zz_E3eh;QLM_tno79BxHPw`B>TtI+)e8MUiKTUUQ)=PMJ)_dO6bn<R(@8(h8p@Bbw@
zgyl9L5Ho?>@xNK~uM410d&gLJ=RZQWr>ykTF=O~qP%7{|fgc;M7FZW+GN4r37JsvT
zBbb>m-5)B=hgBh8S&s-X;_;O%^SVt&Fh!V^)Qs|=?612^y#h>VX=5;){Mry4-(HCx
zo8m?W=Z<7m4Q4d=kK1%t!w_=FN50FdawE5fZ)tP@3&!j>ND;^}fO6~SKZ&bc__sLD
zq`!a_jkLS$r{xTwB$-pwUy}>7FY7ro39{pYjGF0|yZSJedoQPcjuV~Ie7>0_bKu{f
zG9O%(^dYH2VN_s<6KQVSj~=3Mq5h*Nebyp9ur;E6zqH1Qj1ghObFJL?sa3J|in$&v
z`cnDkthn&uhs`swnY`HknDGy#l@8zSHCS~XbK&mjDFN+uJ^Jme3y1g9p_7^!m}<g}
zxn*bGJ**SJKTpjgr8(%Zw>JB1-g>|9yNaYO`vh@;l)%DKpbL)I(w4S<;6eLUCf_m+
zVeHXvt^B)H7jADHl7Ih!7t{KKwx-yTkn*b{#h*<VdUyRR-ZjIAkwbhzv<wk^BdY%V
z&RZH_fP7MroB*y}W$%$;6+_Q)(`D<EG-!;z_U>Po08VQ39jQtb$5j38li#grFfr#5
zF#k{xS>3F=Bb6m_v%8;#jt~uu9Hm-^FACu=a}I{!J}KN%e_mvMR0mFtKXy5BP8h#O
z3{Tv6vA*x)n+}LI>43=F2+H<!5*C=2Xx-0~!;R!M&RgX=z|s0kPU)=((qk(*2fmUq
zdzY-}{ZbuZZ}1QeTM@;h*1p0`)9ZZjumZzS2VQ+JE_v=IjzWd!Wm8ECDBiNQB)C%t
z!nVfV)<g+BT<SQhv_TOEuF%Q^7-=9j-bm@QlS0|IBClA^DB-h_>FNd3bsb)WJwGrc
zjpr1;xJ}n6W9#?p74MU1K#FF(u$Cc<;zQ2_1_V^Fm*T^zF-3#Jdjc+s)5)kHm7Dd$
zPZdp)S@B(vE@abUJ|3jVW9{_P;OYZ4JoLQ(6U&+|*z<UiI3y`p%a+?q8c|1y<Sj1p
zPw1fR=bt<zrhwXv*JCCmH1Ym{PdWWZ^nl+xblYhOMa+AW#h{_9g=y5x3*p=Kq2=Da
zz(Oe{yr}3DbwWiO2e()3wed25eD`3dXOhb3M<a@xXSGp7ZY&N%41xVmLc5|66*a2s
z-v`?0pnAdUvw9guu<CnFM(i&Yv(+?qX@=;aFpG23olaxeYcDfJ=}^JQ`u|2%!gTQK
zn5bR8f+-A@XT7_1T@?ra+n@HpSqF#6rSFR(%+~WmQGUIt8nOokIa@R6U}C}5zmxCG
zA*=c7H{G{tc+)3L;uw!M+BI~H^l(^0p5G0xNl|rlE{kZq_D&Oxas|p=WdKGG#)K@{
zsw2OcM*nUN4b1QAh;n%du%*0hZ_IkV&Bo--UN<#t2)227LEZ|qcKqp9BB|q{-Kks7
zf(lkLkaEABwF2kTZMiZp)G+OF${__VWjr=$e~Gir3d9zm)ks+l6RKflkWj!wTf(Zx
z*sWnECu2inh$^PJ-KpIdE{`U=Nm&t!*6=IrX5EQY6^!T%xGWkZi)9b2b#ACyL*;iF
z)~QQW95!f`8CH_Sgd0q$@)Fi?E}}a2*imIX*;CF!=!jyrd2`p%c`Mjf&}U0*R>I70
z3g=#C2qB|YlhK|^E4b|!+rNXPi0;1wRRz2GP%g|xp>f@(-V8d`Kln^R?hxP#@aDv>
zHaEWWbSpS1BsLe2E{~>z6Z<beW5E;`rEc>+fQs|24%zD*T^uQRZ_5`3+#A<WWqB5W
zYboSO*cMsjnnCZyV=IJs+mYBLDgfE(d5af^H2$7od%>T*KyZBPsy&%%32IiZaeKQZ
za3Q|IFmH91pwflzZECWBB({fIH(JCnGVk8*&OOtFQT4gFqr4W-_|xY8tx*wt-r%ii
zA2>ni6htSVayEzY6Y7(TY9#Cl3?Dg?Fh&G((l`UJn8BT6AAI485H|UgBs>`(B|>9r
z*+;uf;nUv0`&MK@+?Ib&$-r-n$Ueos?~IZu42l}7c|YXG!fz4-yB>}cB&H8fB953q
zM4{2P=<U2%#kOI}J9m<3wl94)T5k;2eNl0BuH2ZRwqoOQbDH3LnQ1#mF@|#jFVeG<
zIFXb*zqeR&mPk8w(j_&<2sXGpiZy5EKqF<jh498X!fMH?x#YVcxQ`?WRFtq`=Zziu
zU-IUO!!5&#eh!A<S@rqemTXom+x0jnBxjLu&Nr8fcwqoWtyRNY2^Qog?YvV{xlCvd
z`HD;`7=TK<e7q+w3x3=*p)CJ*g^=#c+eTd12d0PV#afBXxb>*&O?}UQ1kWa#K_9<9
zL{^s&9Gc8nE$L1B6UczM-%^V=UetpuwypHQWhUI~f1RrJoDpY4+{r6Edh47e@24=v
zgbSi8|EUTxqt$PlM}IEUq4CoG{-X@c_}5R|v?`Vb^V&9lbCsflf|PURiXk&b20g4%
zTF)UxW}Z&Gk96VR{T9F5mzc5Wt}<8CBX$g$&2qCdUC-x#+wyWaS@3Ix)XK3voS5o6
z*Dvvj20AzIcfP#Gf-i4NXj09&@u7;^{lX9$FuKL})%dWY_m_9qcno>5uH&_iJ|7L9
zT_1^+)@Q><<wW(ht^62qj6Heexekb@zX)*EX2;|GEq}C{1hDzlQa{OG2P|#AJhgG;
z!1=mHg=_3W$lor1l3zdv{A!I}k=N(we8Y@7vrQNeY%Z}qm!b`CddS4q2`+43X=Jyl
zCZW#5`yM`A+F(HEa=aADgFfk(R4+M-V*dy1txeN{eAYJGQYs(DKJi-XnifNqz4mHq
z+FCH{A@=bwqW}g@4;~dPkw6D;Z#C&|O&C;vvsax}5RY&A?#PxYh2!#KJSQ?Vq1WK1
zw;@>wXW2w~-5$uGMZLyK=s``;@~rLqutgY?j%^q>=#azT`Tk{LzM4RGt2YtLCgE<@
zM}yWP@>m_G73;l66aH9R7nyO2;*G@dJi0ptV+Fblw<l@BjqIPp#>ryXa9V6AEn5Ml
zrHCn}PnsYy|4;3UrUX8jdoppFNeN4yTCZ-h)PiA8i$@p7ByqO#ory=dGQQ3E9CxBa
z3*@YdH|~BfjjFZkD`_)SMCF!Qh1=S&^OtaR^IKW$4OO-&Jf@0m`<O1B+N1+%f4xO*
z{v+eP3J<edHg)V?uKv*ZeSKaZhZ&Vm%j09Q4EIY{G;mRHR%6>u8jQN7NA+h>aM`jX
zOj1M(D@unG`wy<~RrgI1kvau@=l!&^B3>IaG;+T-?W4nJZern`1x1WHut#0+fDWF@
z-sk(`j2=X#k^YNOR>m{Gn)mDc)4_!+6+1cK>cc)M&Lhq4RP-Y4<}Hn&Ve{o3;ormz
zp|K*sq~eGQzO|hW_Nk?zb>m9$xfCOKEE&Y`I8haoM%7)Ir)YR8;<s9ulnJnezG`ud
zSHp?5&sRN%Xvq0q)0?r>6gDk)ADs(O$6Rgeefx50_{whklLubrplHbUa9UIYxzFFs
z^3$MU)2o&Zma`Th`f2P3)1CGHEjJc(AJ@V38;%a^m<7JJiu&JXHE>x>V(u<Q8_AMR
z3MR7vneo}n*}R%4l6kh+Ygz*bKQ5?<T(N?8`drt1$2G7i)nmhCs2biLRJ8mfW(~b^
z1w$KBH1JaTh1K{MRD5*nY?*V6HL%x?t&RLv$6A{5$Br&V+>(2r##3(%wA)_RBt><M
z(pavNUFX_0uCT?<nRQ<~#x{~9uZF)mcJPy&WwAZs8+~fU8iK<ThVK1V!R<a4rtAyi
z*nz}k*N8Q+mTea;%cY{5y3M>a2MIs;r@jy+tRXSYWU0tp8FffAOl<o6D4bqv@g&+B
zhD8{zc-1K4>!XyGJ>l#~?vR)JsBI0$KWU#A+@OFnzjDZPpBRuj@^kd$y8q5@z3(1Y
zEsw}t{=z+Dfl#KpJr4-Af|y{3tK6H&s4hq+7H!6eUg@$uH<+y;@@;p`oe~-JSvVDU
zf&P`y%MY9@z6N0Tw#Zs)SrQeeOhWzji-~>BJ6xYB1H9Y1tzlv3dOs_*YLO4$TMqUg
zI!rxe33_{&XYS66Ae*g7K#^yM<y60eSl2ZR$ky?AUsocG@>+H>fo?sPYG<-LM+kH1
z|8h*>ex4wfg-`_E#r0e2iQU_5HDw0ZTzO3blK9c#hI7;jp#jUVTfN2pie~U|<HW{g
z3J+%3HGKb&)o&T4Q4@Q@-xN|+d$3HH6FDB4508HAwamL7ymaHP3A`%dXWO)m4WsPJ
z3mVP3Enf-^^4}gdhE6Y!g!D0Hd?0@?H?F6{^55s&lC65ikSdW8tWn2^1(Qx53bU=2
zvRvE6lFu2zQ>LG;?Ja9WOR%SFy-&TR`;<u!Yp)?p<I=Ak$*Tk_3pMF{Pr2nWz6ITQ
z6GPaykl4UbwoD`raLan+XIL)pxg^(o%K#>KlqOlYED{=Q_OkXWMMO`$L)9}z19<n`
zHP#&FiO7=kvD{y(hyd1;%_|4=!S3sYy6*Tn!mXtH@Lcsrf>Irye&(wlT>KVfSV5X4
zjP$uUbvL#Xt2Jfsq@47ix^W0Se@zpiMy%FPvbu;uVh7`ccXS}tpZ`)nGey*Hcu>_o
z+DjDfvrl2RpaW~aiqK%pB=OX}V0u#GJ0U3fpp#Ut3(r;;zodmv5T$o(J_c3}65>-_
zN|oli5L7Q7FoNU6jFtui@8MxWVs3fEOcf1;-=C^?**Q+Ee?O;-wML1#9L~T?jx_kq
zHJTFZJWiaQ%-NpDFhOKj_YPk8q63>AxyeSvjT52Qljid#rijrE!**?fIzXLk^)_7{
zCq8pDg@>G;As&4G9{O}v8}#_PZZnpw=biyeiC>a)#HrB%V;Na($Px?9m@S+nGP%4%
zq2)Kxao0V%%S8)5%lOA={hT7)JLDJ(?=29g+ZouuBxr(3#cBP%C)32XEWxdh(wB($
z9ZkW!?=`@%$E#pN;tUZYW%gt4=^vtZjeqPomj(<z_iIs)n<XwfrG;iMtP*z`PHa=!
zstz+2T#-F@<_Pmc|H3FCYeeIL!ktoiYVb<9(M_QLH^FgDuAIuth)QLfIU@h6!Yk3f
z9fKPdh&{Z+2_~^jSn<<7!rMm`7+lo?huRj2?P4ObIua}>%N?$~N~i!OjPVk0@-pE$
z;&JrlXI8xRI6v!-x(X=AbPm=<tPoFfxX9II?D(GF@Iq!570S6LuP>+kCI0-=>Uhx1
ziDG9yWdur4A^qdy(bc{+qV#q70cKGiEYL!}#M{a+Js&{dX26I;%MlyfukvA9_-U<Y
zD$0<#M7dy^$%GzPRu+vP2w=&!q^j2yN^q^!T>cJ~1>*$vZ*EW$Leu%aibwuRaPCCh
zMeJn7Z&KbL@6`!on#2|RDjp?xvNcOb=><FfGT`JIy&{6XRV7A=wTh7G;C1EZTTVRC
z&D%bdAcid;NLyPjD?+Hx>HS*E+^G7h$Z<Gd0u2rp(msYLg71wh$8`_z;f{u!ulj3J
zDCri_ExSVz<SZ9gg)a)=6_d>qQwg%zcsPY?aIYc^u}n^HXA;6;=<1oePsU@6<`IpF
zilAB~lvR}>jFBtNQFqA{tfA%XQ*Tg&Yya8*zTqW;eEBIAuiq%3<;%a$oVrSoQ{z0(
zWGaTNt9!Z~!<4Z5qD?>Tof1ga&kXn5NuaO&^PU7dDn2=N>6z(SWl(Gy)V+673bSrU
zrykZ<MFU2G)A7+%a1H!D!`mZ+lRr*0oiSBM$*GYSQg2ki&+T;mzjdC?cGu1`*`kTt
z8$`LTnyZ2JvWN*wiag#-6+7`PLL22je_6>F(g5k>o<RaD6g1$9Bwzfn&WY@om0GN{
z;Euy(uPa9t@sLb!npztTr@CHxYwy<qExmf17fi~?^z(>ZK!Yw;ZTsy1X^;kcM4X}&
z(x`Z958I)u59w%9w3X{q8XbN&$!337QpI5Y>4nT4dN}@?kJK8a4_!6QWZfb)EbFs(
zaqic{5LSn1kMoA`>1o!`EhP<1d@X8iOV-D{8(e9UmBtV#`$L3wN)t6&I3-nu^szE-
z{$#O`8I(~L$5<X|VS}o`O<I8-76m=FI~!sFK}Uloe%;bW-uujqWxwcnbne95+Z_PE
zMec2Rrl^B4n_ox2uGPi*)aIY+kya3r7R<eCiw;U>RUEwILPM%+IDf}sYiKW>X(xN?
z;F&u|RlZ4T<5@=eM;Z1ukZ`2SY+P+U_e|Ourcl*!R<xh}%9ITx*ZAdh-PguUJvm$D
z*>#TRp6j39V++un`QvYf7RGgVhRWwt&`E5_H!{x_oU3==Td~nZhn6#6<(H-Lx-9Cs
zmDs|sFMp<r^VPBUNYcHlaw5p__wLB~o3@Z%uDc}Cqlya!t+(x%c+gd<$y3_P7HX}E
zTUJM?$ou8<fGfuu@sKluvbbOaruCr({QXM!-sepCk1Ib2)}Zg9LT7BiaMvE4pN$Im
zD&vz&{%o)1)AQkG6|2@DMa@|ZDwoHz7fbm1D(5X*iYM;q9kPa?ef=sNhvl%2q-TvT
z48W1=1PA)9fa#B5$>e1zJO-12ZUHQCAn1IRh?^DgoW1M6^ivG~2LJ&7{|uLRIMweP
z$BkppW3SBP80X-egJb*Lj=mC#B1F=#Ns`r&l~iOmkba^Rl~GoS&nGD&s}xy<l8Ed*
ze*S%~=enQ!y6@+Dzuzz8{a@vVtT<p_Q|#-eMu3u>VS}D<5$yA&&y3~&xZwO%$pE4W
z0ABNyJ<DD^_ODg-VoMx1^bI~QGY&)GfTMF(LJcoACbm{nN#TKignbXxFPXxCv!U6w
z6C9XRgVMPV!90*;^Y({Yx(PI?Dhfy?v0x9c-@5wSmj~YRB}Mg?8-twl;?yU%4b-vL
z@rub#ombY~^JxP{&~u*i2iuhewDZ#w)~P;jko;@+DIISFOAeX3d7BgHq7(L_;rvcN
zmAu`8c7_mVbk^6QdjL&}2oRr;;RbZ8ZDQ|j14vCUh}wJTCCax87nae=1@RP?(WEhb
z7-QpevAWlaSfBb9l90>=`lN{4CMNn&p5J-Z<mY!}x6<XULVqq`xI8rfnym*cQbDh$
zB*u{k!pS1e-dylYbX@%R799@9@tj|Y{D)ZC+>;%?%msx-c7r0mbf{W?qjFV#9?=l}
zTw3v-3l6^&))D`v3u684*}st`WPsoPW2q)Lw7WijU$tKs3KTn{JJeSZcloqjn|f||
zaN@z^)(<++&bm8)d}<w8NPTgzHH-(UyRS1DTj{`-bhy`W<`$AbkSsrVm=~tcka^cT
zwBf>@fpW8(OmKnkOD>l;A7D-e@tm&O@a}y;hUWk?m`>A5)$j9zwBJ?Vph+6c<okq2
z6IkJm(bWEHI6)vdxyx9`(7^HxXUX^(9B8{tN-K8?LdTPXf9qsu@Sk~M{_|!wShSl_
zu&BVpv6{fY>vdEpdX&NXn#=+9Fx@m-E(F2itSWmvsUW+@cChk3C#c-7xWnHf3{E6N
z<vAfL)C>?kG)UZFY})BDwJ8DtAICl%Z=%3rM>R3yBM<Dtj?-%Pi-AjR-bH~p3K(aX
zy1_L*Xb}r3DytI*=KNiGi53)iQP#tJ-a`PcD|RP}+ektl&j+h$Aqr&wzLr;0CJ3Gd
znT4|JQgG0>+{33s3%*7D^~-yMhi*BK>t9=Cpwc4tq;#?t7|)d-Iy)u=`p-u7#Zg(n
z3;dTrI;jPk2VIlz%8NkOEs?--KY3`)kqBP2(}EOydX)beQIJb^Z$6fw0QRysYX~k{
z(7_OG;_MTHuJ@TmR+Wly{OquNRg4xKARo!~c9np}vhKp?^Ga}YTeNJcMGL(2iZryB
zB*E(E4BpO68JI2r6DmW2O5$(t>SAfo(yf21ewPTG-QDY{J`{N1cYC2RVi)-CMT|n2
zRpFY`<EEJw3h;_nYNfi%!Ff;1l%uEA;7yAy*T{cV5RCVH^{zx7hUZ3G=lj&*nS(j|
zq5hqH&5Cx))+m5~bV$RjIT`*P%Xz|ng9iA6=Ygk15h9L>v6tm(00n=~)ai&eTsOGH
zsW_qpS2WFX#K$#(PSL(8zVi=PTlej=*d&0Shi7dc2L*PsHZ$#a)P)VPmGUfcBD~>r
z{k{@Uf!a;O<;5sE$S;5Q3@59=8UDj5hT|0IN<KA>HtK=dKJupvbXAz<`DAlkl?v>{
zE6LyF4Z!!HNz+{|HMrueNQna~+<C~;)|_kzyOM6%9>S}`<`yOMDv1hX!8g8pau~yb
zn9{<rZgrR~lVYv<MFBpmE%WUd6PW*kP@kP8LHS;_v$Rtb=xmRODP1syGB>X2%fCrL
zuqmjYxU2=I<6NqO)dA!bI;pxOG6Zh^q4RfXz!B&7>O3C-ev1d4=`|$77;LPtw2<J}
zSEU+r7c=;m6lSL_LI&fLE43+6YEU_yImOjw2KJwozE4+?ph0E$&H_#aj7H<W_-HVo
z!3wYRj6i}EvjAzo(*z*=C5qLbV!&QO8-s;o>M$c9PY&u<07vFi-5=5zK*w8MoC{I|
zg-MU&&Z)AXwSV7*JJ}4d^>TZz<f;m@YzmFCHIm>rni+0$odE%}QwpO*6&P{RT<I|q
zg&B$R^-m`m5P55^ZMk0=CjHrh1hnw*kL%u0syYJ-P25FPVhNDqa%VHqkOxkFYq}>q
zVg||21_gWMm7pagQ2ewg8{|Fpb?vxe1}0f1r{32qz<Ni*x5Hnzk<E(^=cg%VFqBq%
zv;Vj}ytm_MoOWAAPWkKhXtx8@Fil5^$jSmkiaOz(GlOJuM#fBe0}Rr-?CxYr!&9?c
zlErVv5Mg=Q$?<IjyuYZS2Q(z%9?d2+d2tYlG_sHP(?THY6`Gd%R}5NydAL!SJ|p3g
zimxslGX=BB*Eht!h=6RxP}a$=CWNg0S~Dlp1R^V+gdG|ef_qPT^Gi4|q;Nxz-ty5H
z_T|*1{Evu-1bm$p+s{{sKOvmIn9CT9<LR@XWd*=%L|KiAzaA;?_{nn9+6YcP-;!Kr
z@Pd-lrU35OTjbDW{`T{9L$IE@@>j2l3rGRK?J0Jx$OXYyueiP&z<qby4`Cr3VCfe)
z{LJYSV&U5U?<&OrEWXGLs+?nk{PI|HqsAUYcD&0@I6)u!{iOS^p{&r|mhO4Heh}gN
zVc30nL=PH<^IN(YEO3OwCBqUwg6K$~8&wQF(DYl?-nYdB-<lQ4kNtlkTEeXN;~vq$
zQmmeLrEeQ?*m{a|{~AY*e=xfLUXTuj#S8d75?e^z-bu>H`M*faKGN{fOS<4f%2KR;
zx`EIX;!d6xnL(_pd73q6bU?|-m#&$%j&Ls5$`V&*k(rsNVKQDi@brV*xr68$QlL64
z(*I{3DfxWhEB=QzXo(eNCsWrDy4iHm)5%4|AN9Vo;ie5P%MG*m(N#pwSgJaZX$2|V
zOxA1vP6N6A^e1f{s|eek<CZC;HAI7xkL{u-4IbU3ub*C6MgFYi>ad*IKm^ZdS#3{K
z!O1*B^636Gq}Y;joAzZ3S;?M@J#>)@GZ6(9&-&L8T6g^YizQ6JPZz3+=A*(#k6|m>
zoOOgs+IZ5+&H@#xCesP|6nJcy)ghF$fsnesNw|cu!joi+-f$xdFzC785=%CbPh*{{
znoMkPx7t&*sZ0yZ{C~$QvhK{Y>d8j@BX&4-^X_uXoF?QpDBxrNV}kH1FN3broDh_=
z=xk=937a*-cFRi45Fr|>Q+tFPKDBYnUQX438;hDlVzMk?P$*xd8q5nthuA!EQ)I9-
zSvYK?%L?OE#s2_cK%c)ERPaM@@{5T5_GFk{mLpjD<G}I3diH}1L6}ss4&`qo!P~e>
zx2-p9FmiEE_2O?lkn%59iUJ9~-2GJe(1-)hTc73#IV=oj!v(U(o7ExoiL+g0A18=5
z24Ht4MBs-J{<!>6b#U*|%Ne=P4Rv~1ij%ow@H{)gxSmBFM!Jv0$z<{ZA=u{bVyFa^
zEnM&TQ>_N=rQJdCJN*rKCL;7uDR|}Z>380a&drEAZtKJe!gH}dbgp|cKx@^f7#&fA
zZ%RXdvfkt2wF*8zaZVQKcf@By?bP6@8~Y;?Q5dke{!50h<YAM=VkpX84K~_uAh`uQ
zKHJO}6)dC(@xq=mxEpG~%01S54a8s;_3OaLDuE~Jqo+Nn27kv=YL0G+L-6_AIgdG&
zp&KitG&`t6ndrv}(;-Rd|G9XA<slIwNkIY}tLm^m!0P+`hcwWS`n66vsKPfknM>sz
zBuI97S>?hm3$&NB>HkF3VE|XeGBrd7yY21VO`<$FStQ5v{vbhPcelT&h9+>bH7IVm
zD8S24@yR}=8W7S+vk%3z03SGh;C`+mXb+v@<~*+j$ld40r#mP>lxS;6_^SjO#W%FA
zvMF#*gyNk%MuqdQ67>)7R)#V!rItJ&Djcit|0l1a4VrnYBKPx%&_W`x&&$z3a)W8n
zGff8=p*){ntgC?UX3vU7H4Pl3@(lWv=#c;H&(jC{)!-<fUtk_V8v;iCaA=<%jCWSP
zw@*_CN=jgS+EH!TM@STYQEC7qUej}TUy&eDOzi{Tj<0*jJtc=_8G))5A^sUg2JV2f
zEkmN(kXjdCG?!=sE?#bgxGW9ep_lrnC(r;qm?a)YAaJ5{&wR3xCj25#4*8T(!B1&G
zvHB6fV$*GbpnICYJmkx>l0kvF+lwQkQD%UEr(0RACR`3Tyzn$c6Ifa2M`TPGV6Jz`
z(l<pDj9))>aCawxt+R*lR4)UFSGPARB{U&aG&wAlT^0J{SnoCOH;16>tu;f3HNfT}
z<%U!e0Y2&tx}Uvk4)&7d<2ue{h*moHeiE+$43hk~M1witE#h+SOOwD<M42&pN*dat
z&u)wCoYyKad$5+M0Y_nlWu}@ae1B;?b1}~x!dWgWos?1q4_QOW<`sURNjpfypD>5r
z`~IzK1P}pny_`!}$3aV0>BbK}a|r7Qn~N?XK-BBQ0`2`P$np7@S^8rJ<Tjok%bHY#
z+S|jASM+}&4yXMqs^|>(5VRc~LRNr06Jq?oiD#%q@{`$~Iy3M+HEN?gD+^cdE;R=7
z{zR*m2O><&%pk{3$L7luY1oq@&XY1fgU+T`?y7tXpe+C0>Q|ZstjlSa<Z>*b6IX6m
zTkQeRSJ8BhE)s>rwPK^hv{lrtX3y`IYy?6JbalL!gdjct4)eMGb@b|=CWEeLrXbPC
zaq+-;K^T59=0aE9M0HS+kiupYDE2pv_@5syoN=#xrTu&p6|Fc>TRmwEB7yTFwl<t_
zh&`>;;mIb-dH)1nK-?I7`hBfzZsH)9O3OK5vWaF$onQ{PG6Jis{_!0MGu+5-coJ}Z
z1FeXRmAe^l2(P}aPupDIK(dv3g=|aK(WHC*T^mgX0KQR&)Qy*sOS+`y+4?oK&&G4r
z2yXz<d*9dncV!Ogb249zYFkB_w4+x>j_Jc+$L}=`Fa9Dk36xdU-z%t`!Is;#Dm^ea
zB)bIJ{z7~reVz}9uAq}IY>Yecdcb7OZ;^Oy5LuOcI6ZT08J)TquzVtz4$1DtZl`Cv
zkhNQZt)*>CsMbD^Tkg>XDW3xOru2FQucg=B>Ar-zIUdBU8M@$eay%`t^bRWPfBoZ-
z<PutA8F*H;TnEet-Jb-dzC{B=I|Gt77tsJ^UDqQ79XRRPbX3o<3!M-8=D5bQgr2B+
zO0LV%hCAm6PQJqRqK3-b{xknAp%S^K_C#@Q*u3?s_k`sT`uad}9PiU56z$!sA90HY
z!JL~fBk&_A(vRCeZn})N-qb0-ElGoW-=$AA_xwb?A__M3wwF;covDmdc~r=kR_;lQ
z`;GP%zmXiBT0zU@4g`&<Q=xd<c3`jk1j<$Ssa%404aGPj1LkTd;9%urnp*Q0jbQXF
zySuKV(l)?|x1xZ}i>thjj{i^|TMPNZ!3}h(P39#T)dH?~+^HDmS+p{Nh*;g+LLWbN
zQe(_$LfDT&^N%Oz(C>$x`ZE|z*sEYv&Pr7i{+i}C_<fy6<y;Pbv2|v~7>{(L_IYc7
z_rB!jVz)(f9|gubZ?Iqy2V(h;JtM=PkgapQn>+gmYdq}oixqo0tuB$jMgl2se$u|$
z6?8~4eDcz9HcW2(uph&g1Y_aKIg#0GsJB>Z5`m2a%T3RJ7yU#Xj@UX~;mF%S0}@ku
z5<YWcC`<0gG68k?;(h08ediWB@>P1<w38d7bCg^&xu^!mLPHe>?l561R|NhTZS!Kc
zHtGtV&8k97`eY~RCo>k6X2#m)A%Kmlt-C!AQiTjs?-kNMR_qgNv}8LA9>eaUG3%=;
zaC0{F_V`yEMz5QUJ9JhETL|yA&reo?#D%9n3of%`Q>6*l9<qyIif_8B+O$;QD=Y8z
z=fj+s>ehVdRa6vvUT2g&HALLe+wd4=7jBI3esJS^o;W65&e2huO9X|MO15*?c(H~1
z{Z_Z0Nn-Z>NA_6;5}`sSX<%@YAFGelcy)DL8tY{18Dh65!rPAthK&t^SfrVQg`a~g
z=19t18{AI>zJbtd$2EkoH=fU4ww;s5MhERZ=$=Ff!DZf<tQN-pGC5sX8&$x93u2qN
zvv=N=wg?RK5XGqMnLK8`N?6@pch03*BFMNJ7X8x^$L!SF-(_$qV~NKuIhqEmKo;}4
z7$%Y=c49z#RI-tXEl4LR^~tM3;iI5{-+QDnPX9EG$y=(}Zq5&DemFHSEbyJONZN&Q
z-P8Y9e@Pwl6(jbj64aqn^V_xYWjV~0eaby0jEq%XAWBsykbo`_oAh$G0_Mef&{a2F
z6H~b=JJCnifS9BhKkol2Vm-s8jTj>ecE^jn$Yr1fC4{+GX`BQsiuU|?jSdw{*VIk)
z*x~4ivdHTGNM&rpimC6E91SZISI_WMp~2`RC0luoh|L^1=V&=c!(L{8{x7jY8)97c
zbI`+8vB&may{Y-ySm=1)<;oyk5MtpE+%u(y@mg;1<`Q(UH{v&LQJnR_F1k5Zz@CJ8
z^H2z}0XkU!(RCuXhXF`hoQVIIOU8_f)-6O%>tH3uxXQ|FMnDu}m2zs(z${e-|0yf!
zVB(q5!MIuzNNKE)I9j2J1xPE8{EXGch}V}mvd0kEMt$$5`e<RatjY&6H)xm(@#gDu
z8vq@pm8}EaT3BM+Zg~j{Dwen_#CT(Rhu5?pZN$%NVQt#A=Jltwu*nh~-q1G;NVQb!
zSb3?171wAVvK}R2)V9jAS^?(Z`;f!WRYMC)*Yb?~&Z~+!<|W22{xOF&CR>jB{hAnI
z-y%CAM!-JgoQ_P^-wmOB^;<s(8d!3qp3O~Fc}&%1e|x+0Zs=dN8p?V}!m^|5l$p9D
zFpG*=KI8qnVS`JuZB9ZRv!H&sxql3g-P2DWa+lo=WciG6H9J*|aj7bLGMED^KaiU>
z-(e0bM|$;M1Q4<I$z<W&*j02mrS6=7pE*Qb*^}vUfq*%<70M;;8bb4NPVXY;8PNI2
zo7SG7h*gCPhS>dY01;%A|78R-;BT@$)0Z51OfW50rM-0yp$~m6KQd_s7Ci$v)~H?B
zo18>}hT3(+Kc=0#?1UMpT-k6~nU%yI?m1WakjxCSpJrnv`T+{+j-PkP62qv^lNpcV
zSi$Pm=io#~fIlVAEbGq;V-lMhLL+!KAh8mUCOk#p%%^|_tt>&To#{Xj6AL?R=(I8V
zD^1}+e0$2+1P>-7YxgVo96O{fc+Td2FoCZ({_0bAabP`8sogqv*db#&!MWqNF?>_U
z1{)h$u#&||W~QC{EdA2C;)2E?Sm0oCy=upgMK%^tDm#RcSAC|;jG!&pI9UGq5*mE4
zaYd<{4XPH8O_p6WgrxVEJudjqpfcV!2Mhw);B3L8p*qw6iks!axblCYh3PLfa6D{a
zQmFeOjN1Unybr&OoA;ngyVvq?FK}=ucJ7$<5q+>6^f6z{twb}t&N);E;9&n{{;b*x
zJrHmlS-zz94(V>oVA(R>$qSq-@y^0}K<g85(U|Q;tlk_gyr6;urf|yq+i*Hqx1=!X
zE{-5a^K9FPHF3ZjTKiw=urBZ(OVYePFpeA$btF*_;b20&Rk+Vi7epj3)(l!sBiql}
zwx)A%@b~kcO2KzJAmyy2XHqnaoHS-E*x}fK9DaF8-Bbr|v`hDmax5Tst5yCSOJRdv
z(|8=uYi(ei^R=t8T0&eoJvt>#*<m&J&b_;)+A#NOq0{)n3KDN?GI<Hl0jV={Y2EK=
z5MJHRZk@k|bRiXnCET3gkgpJ3c7O&~jnqDhH*X*{{lzQO>Rhl|5%rHgLWS{Pt^$V^
zwh*t4@t3d9asy&``$2d(6-HLS7bx9kf)mSAFFM9}AneGdc@mxqRfkNN1M8XL%0-b2
zidXocf5zS<tBeA)xoa8j^DOZ4_gk+;djS}_;K$tIKmnc2Z+3bHIGC5o>hvxWgp4<r
z_<A<9Aa9{th?v0!M4pnN`UX6F{_bKH;i?6+=7X+|I1Z?=h(xa}3xRQ^^AY5|COG#_
zew<6;goKq9<&%3wK*#vkULjLWz&U)BAsKMPpg_|b{#T-qV`{sKYt(?#qN6lDR$lPN
z+4mi^7Kg*G!AtHtdA+a%C*eHH2bZt)m#%L~fI*^n-J@+Xd@Vzy{aFR!P3X(^=C4u^
zp^rU(P(y|)Z)ep@N_c3iyKe8?Edz3$kJA0Gkby12N;knp2wHH_Gd!!ZaOPkFhnGJY
zPBVV??<y9CjNU5pe7-zn{(wI&eq{Kua!LQ4uqaUcs@qEk6+pBQJVSTt1nlBb8oDC}
zAAeYf-zF=;n!x1h-nV4fU@F+mG?akwf0!vQg#c|D1r0rf9UnQvdZ=Yp5-K+SGkL^H
z1mP}2-pf1uXW>?mx%gEY8iW_pU9PGC{}F*yJ|9guNeHGef7%6Ei}?jpl4@{CP+KU(
zUJGDo;-B1v95npT-EQiIIy~8ow(v2cKvYS{yEc9WNMxYt{&qY3pGO%=nxw!!P0{vt
z9Ysh=BC~w_tpUy^HJ5x|Qz1m7DRs?bhlj&X_~!;`!Rs@MdM%|inE7~s5_p#Y#1ZP7
zcc&>(5?x%=@?IMb*cQf~=urmA!bY`PVJZl=XxUz1)`ebzvbiK)1$yk=Ex+HTf@57O
z^Npi)P!(JZ`)aNVySv0A{8(wAa8q1%Wrr(UKWSi-K5C%Ke1|U)p}|oRu{ULB4B+O$
zdsh7s>d?v}aDH_!4UTaisECj@0+&0_>u&jz!1wz8?P3`k*dXEKKiZAq&0yqUzdjl0
z_gc5pUQprU>lN0-Xj5o3si!~fB?JEnr56YIsK8C_aOlGWkR+@=^q6ZvspI+IjU)<u
z#vNL|`~|?)?uY7)5Dk!=)VY0nCttpg5Ow`}*$m`X^dbhmG{EF^T;PR!B-oD)+)<HY
zfYtt@^9qt0Z~<4OVc4k(H(zl7luBd3Nfn+dtt2vBeUK5^urnvtwL_L`V+`;OKT2?U
zOM;rGgMR*<itzjB%;u<+IV?RnGeK)qhlM`E-totBpmN6Fyk5f`D4Bv)^0(Arq|~`~
zVNnvU5<cs#D42twTF1ptW~$)#wkw<anFy@mw(b$v89>o-dGoN72#=0Pg-Ub@K+@b7
zi_|&>T(>#(7jL5s8^wYl@<AM+)8w(Y?$nMiUr-BGsZ)ZliO&Aj3?_*FAkif*$be^u
zi`dCzMbIz}X|cY#fD~wxBMTp!!OPo<qE318;B2JgHF)C}lGZ(`IbvuAk6%lWToG9i
zG#rh47v7ANRu|Yl_yAyt)K<;7NyFUGkKIT5-lN(c#>}ct0I>J4#JvIu@OC$_N*x$L
z%{iuiXtf})o556cLR1VEtXYKUSAL@DVONwa{+Pnk%|6QmRl*?iO<z(WWE|yZwa8WB
zGlk{`rOf^WJX|U!)sE#)pvLCY3T<=~m?>m!FcJ}ff{!a1wLz0;M(<Kht(P$*Hqo>8
zNAQ61hwkAL%}KN?`K=i-*9hJ$JI#jbbHc;Aw<mcNCeVELFS?w4hHyHtfM3Xt4cI>!
z9)jp`wBuP2o8c})$k*-vSoe|z+&A843!fiD{Vn+xqPz^iWz^30-f1TAyxL_rOZ$m3
zQ>!j!R_a5w;Q<wko(+VXDTi*<G>p38mrb>}^?@}6GYqm_MVM*R!va}D=&AQ3j$9sk
z@OUhY)@!tcutlQw*B^dEz1c?kzc<j~8*6s4MA|&^{Gv{4XiGO*!0s#+N~8muMtx4u
z?pZ|kMUGIPSSLE-X0no+tP93pOfp~Io<=78I*$jdG@%E7Mtx;k*MYPzq+%Q6NhI;}
zQpX|DI<(dAnd)tS9Z0&dncL+#j!4Nqp2D3dLUoqj{Zap+4g9Rp?MiH8$X~v8!D{^k
zB&G@Bxb3VBXXb7^ui^cP9M@(qKGRr^#9MiEz3ip|_5C7uO3(;`-STd2+CmZQe=g@j
z9B3f=Xsbw)IE;M75v0|>y+=w{p63<!P{Cce`K}7#2eL9}Gl4|4A?2}N>t;u(a56^H
z^wzr}#BNyrj{);1#M|#NtKv8X&IVQuL{|+Whe_IoB*QOATl0LKb|?jO6Fakt1qP8J
zA=>|<&-Nm6u2G4{*(iW-T)JJ*G=Mz1o-J~rsvj9+3KY_$YJq89ciOwJ0|>r&Z2cPV
zcSJmN*L;kdCPWG<HuLHYB2#Xx9}AIT#7Qdmbau*)J~sv$EshQ%gT+TEcD$p=!RcJ@
zLrr7|zN>NUNZ$~mY5H#c;OtLi&%(k)I*trC3oe&v^Zr0$vzomB&5t1(6^XXGdq{9a
zSLt_E`wxWTbARH0l7Eog9v4T26m_tA78AKpF^uF(Tx})#Od?q2f5%J*)PUY{vFrsp
zg2ca{w8{N7g~%@kRD@}&fwRLmBgV`q@>5|&jbSr`$deBDRmZD>HR0!f!Ir;}s92KO
z<l9+foM_B5KfL27)?QZGEn~=YAJ^d<Zu5v5DW-mxxeA!w-d?<QZXB_Z7FI!aEg}Nd
ztWLBdA`r(Uez!YMAOjy1a)LOPkyitm%M=kJoa?K$)(`lLT(_hl8}h5j{{a91|Njh^
zcRbZ^6vv5cXIy*4wfE&3*LIIpDwRZO<0q*|Aqr8lM;Rp}lFBHfw21nikgTjqM5U5d
zS=p<fKcDB1=Q*!)&g=8}yr~pYG$le2@=vQcxm1iX9zI`nr}-=~5>sma@GU3+he?i^
z@vRBQA?cZI-{)2sLUTJZMEw+?9_8wkIHnjanM&4`E=*8q9PGG%N*<(d%j%e4{mbyO
z4xRTMVTNYd8^seS59%Yrwi=sf7)b@(qVpLnu%)2-j~BB%3^m(Haj4HRj&Bdp2oE5^
zE)9*p9m#TFq0ZTNz<hxru-vCxeu*8R$>~9%iX89-Y*N&XSz;XEG48%z&k3w&Zgd3I
z%fk9g#f=iYtBg}>i;d5$d0_WaO33sHSvch^v`^v$6O5=>h4QoVL7qyZ*DrBd2&eej
z<osoZl`4My%On91D)<n3w1WaC9^HFkdxr%=WwnhwACTeYCKxJCr9jTC??dT}BnXs`
zI<_TB2<VWr+t!T&*1?@wA(z>~H$qcLGF}8M!@9O^U{IjI;LJ6V4o+~GWg>poh=F<p
zS8IR<1qL(Dn#^qDfyC<)MfEgExZ&pUSVEHmn_t}LKFP%giSdUNT6#Bt@X)@H!`2kI
zV@!X<#U=pU!90dX*8WRQ>-Vw_pg^9P$k?u8GR%y5&-2d9g1f2WzW6s3NPSxK<8P1<
zkVmvV)E~%0+)3eQoo2FdQbxJ@iN6SxPne0j$16hYOUdGrud?vvl<HIU8)CpLSd|_W
zs|=^?q!XS#mV+_dpyIH<5^%5mO73W(Dm?kpE1&jS9(+2#DCvc4fVVaBDglG)&@ekQ
zKPRaOWvSOvj!9CWls$bZ)07I=r&LN^YLvi`LqN+qSr*3VFN=b9YD4h3h4SuN6>txX
z;@l-I4;Rh*+*_h(!0H^(u}@tcy4;`0aiaow^R!JGKGgxrs)57IIx5_29f!ldO7Psz
zSNiA&U2qxay1l7L8;+e)@H?%g0wpoADOn%&z$f+50i`QC&}J0&eEYa6yohnl{#Bw6
znT@WOc9iQuiqc>Cx&n2`_557(eiI#zlEPPoc@5yxgjJi1ohEElU(Mfjl@9M~M_!Mm
z8$sq-d+PI6DroT*^F>^u1OM|m{U$3@aIr5v9L}c=yV(vkKH{Lmll*huoQvi_O1k_w
zB2634^o5G%OX-7V7xy!@4uBs?(EoH=8&)sxO-Ltnp>_|+)tuiFI1;i|uFKQFeI)V5
zg+&?+?d1O<tziWmW6MLa(lofBK69M^r50$3oyyxHW)0`F3_kn((1xv^i>$Id>fkU}
zCh6a74U%jeOY^?kkR$5S`Bq#B_9qZM`CtPJk-MBNZfU`YjlalQd0FTy*_iY+&;|mY
zb~xv=QlY}_Pg@d-LCta#_kh0*ywMfs%$CuB*J(dL_D%7DVcqS}UWN^r&kFOrU{M2R
zu<v3%!~|7&h0J@tTf_B)&OD7;WnlfZu_socn=v-`bFtFH8i-@T`nEobP}1w-vtMX}
zF!29VGTdbaH%9_IZi&i+w#3%gR|c7I3uQ4d%)|<uMH;JJ8Y%FlH2GayEj#LN%=_k@
zWeEw_pR%$_Z-ClhnM|_*9#j*vHy&8BfCE$9Z4dgz;G36#UhgJ;w0|#Vdd|fH_FhnY
z5&csLGPo*=yrKk9i~nS<cQb%RGw&&qt^o9iwe+}cCu3jN6T<~F0Q&(KQ<HRVDB4+c
z>~u95AMMJypmLf4r^feg9(5(b!zg<_-Vri(*r$Cw5nv7%H+^`hANr4R_4btm(Zgh{
zk*QAMjyD4`rHt$7&KX8adW8GIW-=<$qwg@4nnJL=k=!?@Va9>552MvNWc1_uHA4Af
z0ucuC%TUtB=!(=pCT}u=Wb#vxFo6d@v{J9CG!t((sJBqf$@nfp*=CcgF{HUBylI;M
zK|JB5e)kk3qu^cVKBICY@TKO(Uu_*Hf`m_g+|ESC_a6fv0gn*~MYppFn9dN&x?3`K
zE(l=Vxcv8mlZH?wq{YO=zetR{*l9CQB4hoY5auu42Ef*@`rJNnmDqo&qD@R??VVxA
zywh6@fU7+>W{)K^+9h`ml3dBSaQTiiZ!I0%wfS5c6<BauUZv#GLo$A&hrK^%Nr$En
z;TjyjSdkom^~rk)K^$tmw>`N*9}0^cdjfB;VUMPBz{Cwf+*8c#y~#-*&PMRtePwVU
zFHbPd-%tosmivnHhV>xwA}!somlK^<mNyW8gm86L#IZVD571$WbHJY)*L55EsJ#%z
z=19J8guEWSO%I`a2&_lxFaD+L3q&ydzaxJ}n{{FNsmhU8Pk7Pb%#J6-eNl{{nfWIM
z>%yMCN>>eCe$+lXf97hl7|MRAKhCAA3k?w*e=`IHP%<^^=0`RO{L^#bdiRtLIJw+U
zUAHQLo|gp4bq6K!YmRHur79h;JuO--GEK(Xy1?bYb}1~r?ewNNQ3vRPYT1Y81Tp(!
zj?d3S(ioY>8_IKB2evB)^civrW8JJ=@?lmA#$FT(_T8xi2^J%sAJs%qP^BXI!5{@U
zA9%E}-dYE4nObTa9~4FYvw?Y^KFH!YuVyiujSejJ91ByvC5Aa#3s*Ti<d8NyplZ8I
z2mX6d`dM~P9J7}~1b9En;}sK;k%y;rK-Z&%vH!3nrfgmRaPy!7Mto7LJ)5Hgx%`z;
zcYCDJ2r}9;mKCw3`%%-!&pOb4Qu#lZBhq+!V+^;Ys4`xebgd(4>w<jL^MG<D3fesj
zZThIAg2&m||0$*E!sz~$`neAj?7Xw^OM9y--birdHxbZ-*JplaT0fM<2BA6w=lyD^
z_(V*bEl&>)$l=5JBsr9|SXhWVsE)r#lufg?`mlpG8A|e#M+>wnv)ZbG8~r35SlQ^{
zsvo&?$WZ}H#KV6(ZP3Jfxp9H1-E{a_($J8ntB5YA-?_`QXd-V*xTHN{04vpxoEo^5
zu;bT;Z|ys%c;f1N2D!ozzFe)359?9F&Z2|A+H$E_U%vD78^Q?a$=B<%(v{J9yTco5
z1r<MUeXV$`(->A6iDFgOD)_C^*ibKtia)mv`?LNs0Yw-0Sf3shyuFaYHmpF!+5Ue0
zk1S@O`dh>Ew1X<<D;0=d^Vh`S$y+HABIe+BB5e8NeN|-gliQ<pK?Cn@t&nn&VgPGZ
zk&okdRebbvyf1#MI<6Fq??18@cN7M#?;iWBigxQLZU;ZBqTl!U;1)jsQem8N*4lZ%
z`I6O`xeB_D2=-OA1H@mEfy=q7Xmzo7Dl=FK4TO^q$x2y(_${w^Q8QJHRVnTl&s9KK
z<1)%EM+-<j!I7Z<L<Lzq^9=JV<<Q#o=)c?NEMUdMn`f3=1!pS<^pw};>6>gC?-*|Z
z<1U@$TWpl^0h@R7r{xW()SuK9A7=r45$~8gjwqooi%+ypm;~}Q2RA%CYXJjIT_vf$
zig>j0%_Cn6QH*t@tX$h;0cLM|%$rXsV9f*O`(`_Y@Q|*5>_$}!sDIW2w~xqU*AG*t
z)-nMM9Yp()aeyh8fCcv5a=5^wZTqx^7ppHA+h>&kxJ8`h3fm})K}~UkhkkOQaR$%J
zJ?;Ram3%+AO(?ins`V6avtxf~rT369K>4;9L&iyIOgVVTgJ+c$rP@4;%Ay&tBkc8v
zVz3mJ`mg)^ZfG4+5@f0-zL>+S(+Bl;-jcxD9n$9vb}{41B<t4-U2|BL7Y$Y)5W^z>
z&bPfZCX`p3Re2R{23b66lN&aQ;#Y@f$LxNs5~CM<pS$&$!uqn@`(+Kn_%7i^T8!K(
z@p;bo%UvB)h%XUZ&G!<*%%~L&?#UIRzod4;KHdblCNx;pbp)|gxaW?H#VXO-kt#Mj
zXbb}z4_EzI)BS@VKQ#XSw@SF(tKIp}#u%gywciq@2%uwlcy=`}6DE2lU#loI0vR7>
z^ZJea=<tNcVskwc3M+2baON|D<DPOUp`v`av*AjH{Vitfo`1TF6l4fqGU~%#z3cJL
zD;xgGtabQFLOk&EumOy6nROR*@gOh3we@^C3+9vJjOX_oz_gY3vrB9|7`G{FDDej?
z2Jk+}IR1_f>DGkLNl$J}8c;HOtjUHOhfQ{E-a&^0n7Wr~kqe)QzgicVv^JL`Wu5oh
z^kLxWw`Gn>E@Xaw(Vm%y6RkO-UKKj(L*(tcz3I2PP~dKl9M3H-Od4Z%b^W3TlR{TF
zlPb7y%<tm1CVL)i@-cZc@1+N^HD3cKr@1iRhMe0a#fzO*j|DTC^uS>s`S8}g+!$<o
zZ!DRGAEiF+D?Xc{3!(EJH@6RP<FEc@(j12X?nsTf++m;#_U&6|!msh*<aQt1E*Ub)
z1lGLx-KzuCAIX0!z1Cv_>mWURvml1AFYS_!(gCG8l|t_0y!hNlaOOa?5Vpa_rY5=$
zlz)98)0xPJkC#S{wSN*uvPDGAe`7R|;I#a@(~BQfA}`WyY($ZC&zkB}LW4Wb|H<Yn
z3gDAdul|WPh+!+K=1-JA4RQo+#ohi2;M==qXA|5d@O3>ob-y(YT-uhXf?Z_XLYs|w
zAt{Aach$V78)(q3J#lGgt03+>GdLPMwgK5;%fk?68q`00E?Utigw`5y!6Bbzu(d<c
ztZYIX809Wnz04x`wN$oc&ol+atF))Qe``b9+`d9nb5Sh(P51f0E{D2Y%%XEM+Mw^G
z&})_=h6ghPy|Pv0kxRj;D4&-GajoLzysP4vA+&0A%V|w#SQBskHK4)iqc(RkE=pqY
zX#8fYL`Aead;Y<3KN?I;OCI!++JHB;bOMauD&dx+Y$bPVXy7!lfg}5^G(O{esq0Tx
z!JidzZRW~4us@dyU7IOu{{7&<oU<ybm2B#KnWqB}w)?Z|(q%DZ@4DknS!#G7f+`<L
z*M%zPhl_{Q<ZzJ_XZqi(W1gyCTG0<(_`NORkh6k3{yXB8AiSc13jejleY~d!V(KaU
zsj>=aaA2`bpNES3tO70N6ZC;5zFhoAS`phk86nCGR3vQ^a_Nnt1Fh;!MX{I?mI|D|
zqVZe{g$sRV_GTDBvv<62D3>zw9GtmvS56y$VvxlrG=w1~uesQ9Wvu*Q?Cou<je*}^
zb?jX*f)5K#oC!55c#Qu%i})68%%xpyOfWNnv8;2S)`hB~(+P=v`U={(f9GlTKT)P2
z<8|S_r<58Ff74u4Ez-isuqC6>w`Q<iH<LFwT@8sZzxO&kp`w3Vyt5e>15UF$$;SOr
zLtnQ~3zvK}QP1U*U8y*L_1WHE4WjCJV<tw}{);-wUJu=MDR<3ZT9|{<gw*lct`GA(
zJZiX{nL0BnYyk^QHe*k}t6_r4k8&F}6})~aEpZ^g0ydrrTJaB8LuvQ4+>Sm)tiQKm
zVfQNw2oVz=%b!ujorc+?Wx4XWE~7eHYkJLhL=661W2oZCc%{y_ZnEf{q;lJX&k`b&
zCKH<6RWO}g8C<iLJ7Dkb?omNYh<ZqSSa)0*jooj4n=zHZ$9c_sfh?BLl^}YgV2=`>
zm*7fibrHc)i^D1V`z?Ta?(5@kG)4RxrmWJ`PsW0`hrKLIETDN&ytVJ2Jm#fm+%HSu
zL-o6!<Fj5C@SOQs#gjL3nB>6w=d~IaezrWqN|&>Mo#)p@vt5zJ^yfw%u9+mvig7;~
z*9MUBX5={TqhP61%FpIbX7ppBJ<$&Y;4Iy)t+AH#`kw2hY)n`oY@2#A6eIzHx@!7|
zrKQj!`L|Y7{X8);G(_~AV}NS`^TG8i;usXhOlqXg5T%F7H*Qz0@#C*(!Kh_XEbX?j
zXwR7<LgLodW~`V&wlMwsf{X}0Q6ha$otz+MGN*KC7G~f^i)xtm6hbA%bN7;1Cy0Bo
z3lV|Qrf{>6-Y?Wm#<&!(W9p~JiN+<NBPtyxP!%~)O!pQ*{YRda`v%5|?0v~4D80rV
z;;TfCGCx+G*SK4iF+uzaA5Ob`${5nGhz*<b@M5#@t!&S%NkaAbr=KtDjX>lZ*~p)F
zjmO+Rv5gE)5p3P|c1LB6AZX(CWPk$~wl^MT==w|(zpohYy?ntC-WKoXD|pX=t~@(i
z)YN8)%cCJ~v;hOiDtJnENM^^g6rZ}y{PTp?wEa6<I|E3HTrum6V8d&7?=Ra)EfNm(
z#f;_(IuuZ?SMu+ZFzSvZX>iLj5k4DzrA(C$7aaxsqt}s8@6hT4|IAe)?el!(SdKn;
z_9V%iiekkb7nRSsM>1hfzt*QqV)~GDQNycPj}?EHJ-r&x%8ctXlzDv8^q{0Xk?k`V
zE9M;Mw+m5aLGJ92LXXAt!2Y1+^(8h|OnKm6I(?lLBR+R>9=NFs_pZ!@9#Ce*$qJsd
z8c8;MJ-xC1jG8XUG0yXs9cM+JSh;bTXY44gMk)|_t^?uGmr9r0Sn=_84zE-%P8`eM
z<i3Bq4n!_QOBL)U;ls!7lwosje8(~;aBPSMU-I^vd#sW$B_}daiMAg3(@5J-M$*7>
z_>H&C8#d&yE}KZ)$cM&>b+_-R(4Z%wJ~;OwJGNw5UD))BA1}4tQFG{6(`{Z27s^Wx
zj4n{ob(<Ez#oO*4&0*TGV|6v=*&j{}bgM`^V=joM<MZBU^t7R${a``11vl<quWjOW
zO9(CYhCNUEss+4Tuy#uo4=P?sTh(9N$HJz^N_X6~AahE3+vx+mxcBA~nWz-S^=;FE
zz6(@%|E>B^upmE%+42hv_=@8ruL8r1H>qHCj;?x!R{#%d2wS?@N#c!DDk|5UsW8!g
z;f5)NjNh*gsMl`VfW&22?@A>qoKbFgJig|;f^(m?SbE6dX8noWjXYGC-ms#0FF^?1
z^4$iV-cvBuwo-Y7n+ijj%sl5tgwe%=BR*rzzmn4@#q(9x>M4kE+v+NcPm?~*+_aO&
zpP_f}d_F>jnI)6kU#7+IyN6OqdY%I6J<Iaj{AR75$FGL+??~W&+e1rS97;G;9}6?~
zT3~N-eC6RODI~dXTPY4w#-^EzSFf{ZgWNVcOQf?j7Ei}tr_ZUN;NG!w^gwM0II_<?
zNRxthM>6*6oKwSwPdPEkBpRH#eEIH@u`I5iSAEmAsE(G`2iLuRK!Y(|!vW)6a(I2(
zbWimfN7T9I78V5Qz{&K7#oYe#c;u#OHrE#_F1v=WOLy0WAps7F*h~dH$Gb0AOhg+=
zhs0i(`{==gOh;GdT1AWy^SGK;q>a={c~RR;eQ0>v{(X2@3Cjm>d5*}@P>eJ%CN@Ba
zS9U(5-D~>3XM<6SMlcNrvJ1tdHyZ*qZlN_tL>2it_dHI%Ps0!$oWJ?n2pS4y+7An;
z;k%Cf_#Y)S{17bkC2pq)e16Z~@P1qkA25AbkUmdCMcXHN*9J`C+EU%7oO|lX>g>rZ
zC_+OkmaWNw{^nr3^R!T@u?CvuF+Z9N)JDEZmelqc2E6U<&3l=lf!&dZO;2ss!t5P0
zj8mlmXXB!mT52?~l<mjnB1=u&6tT*uyTbyMwnkoxD%U_t$g{zjQ8m1;vVGFJ+XB+(
zEwi$YYTz>T?6KLcf^5U^u-nEG#uAmoM!&1$XE_^*^I3{m<`G|?aLp1TwlJv$E30Gm
zwy22YPB}c}6}<UMy(I|0yDDU7tcL&belblYQ?UN>F6*m3mca4(*7sRiRpjD3XgB*+
z0z0Z(i}Knnf$hfO+eU-Rcr!dix@T4xXQucgYfCNRulY+M|0`?#cOTeB4i`YB<*4So
zKuhTBS>;esQpB^hhXovDxzSGQfH+Od63ot4>&KSMBO_Qx&A@>b>EB?tLyrYqeX-Y5
z!Bh@?kDx-6+6oaR)8Ul6#&OCGk_opODX8B!Q**icFX2+CdDTkL0`6WW^S~=<JbU1h
z8nfFl5iGykp}!E|kN90jM{X(PnT|1P-P1$J#72{@ngZnPrppAJ6-Oa<t?J0_1kn?-
z|Jd?P1{j|RrrusJiWJA#Sj(hx#vXDMJ-5Le-n0f4i?#}(X5M(!shUOx`JjHp%V{%M
zb;-|4tRmx);zHB;I~@$M!rAOoie@l)_)u<W7e7j{zxBDD^^T!g!FSVTzbV+W{yzA|
zlovBuJnLolzhm%k0<EDm6FBQ<f8nb<H<s~k8u{zi!Jy18Hpq7ygGpV?_vk|$czx5(
zE8WH|j2e;U2YfQdAg`&?WH?Mhh4$LzH#N143|kNVgcC*}P}`5cs#wr}`_$CAjz^4l
z{f8F4UKm1A)knU)@0l@aq|@+oM+o5{7%dwnWC*I%=^7OcCd~i3uCDVz1>pjXoR?1-
zfNgclF<Qt95#3nSqo&<JJlfj7*`tFFkKv-H4%ZS9u=nixR@qL%{KU0mAL(>hIkp^M
zJ3mis8Q=*VFzF`JUqs;JTzyzSrrEn{K1Vz{5tBnX{Do-I%z5*HS06$|sUcPGXNcdf
z6y=B3--&1iA7PP;dca**c=LMsG{Kx3uIqT{Cz0HHS;J{g7aj*_Z&>d5O9-5;iIxi+
zCfHJX=>ey8!GzIzKvMHB(dAsaAa(y2;re&-<>7H1NDra@{QYu@&`id@{X=8KS26Tm
zI;8`nI*dZ4OH;(j3P;ko)Fff)RWhSLO9S7V22*+gQ^e`UiTLvOQ$$@BbNy;44XhHf
zAJDE%5nb%H|CQ!U6VBer2DaQZDBlurv-k59ajVRRbue_6=zshxf;~$cLL9L%ar<8)
z^KI`+{<(SLaS8Xl9#tE{=)I)|gMW$U?A)H1)J5WzZrYyoSS@&Wr+?G#JJZC9fJL28
z$1?FGFuN`N1r-7o4+xLN%n&<Q^dgcC{}J&mFLZq8HQ}~*-1exevjnO3xq|r+6JA*S
z*R5x)3GdeVm@78S5h1Eg0axtSVWZ|&!R2rb_*@6=+Y}dwg+@-9V{I(>JC}WFyi*;f
zHw9U)mMjv(=M(*Cek43$opF1UnmXumY#J+bUnYpaQ+0_Z?AUis{^izKH83@aVRN=y
zCCuaY(~oL!Vw##*?cNDhkUQFwqNm4%e^OqGjBn<~yXw0th7PNOwM=~F@k7k$@ZpU~
zUix|r^6Myx=~jU=`zzu&3fAHLa^b1Fy!_~9Xv#aaPX*%2t!(4?S#bl6L*c?n0hA+@
ze=rX#L!JAgO<6VxmkjKalgG%IJ0C=?zn~0$vnm=vJK6DN<#@xrWFcG&{XvmR%8=%D
zKvi3d6S?~PW1sF5!S8yeRSln%K-<{h;%;MZ{5jyNT52bTZwcERkDE%cU4yHtBw#(R
zYpj-tJuZPvqd(1)0+c{5cQQnEm=CGLiN1=@q%g*wqW9HJ3B&~?#!qh+K!-U+S7m(}
zT-p2Mp8HWHP^$Lb9r=QczT~SnJpNK}t|pbWGFk}^s!F=MIS64l-7WKzha8GbC~$K(
zC_#DHWIh|02wra|P1w%J;~yOhb4^WUh!^|22!o>7@^9UWdyXPLC=^)EsaA$}N*6kk
zhQ)E;@pI>xT$K?Me{H=SvewTz8RlgHDZF0eB3Wy!iXQ|yy5IV#!tTz}tR6RM{2*1)
z^kGf!TOURlRTim1nURaVtv3bR*<PHuB&Ugmzm8fnDQQ4g%T@B-Dp|boWv9V=IW24y
zJ^j{xLKBi?IHsE=<gwuLwG$#&wDGld+wv&8HoU#dZq6B_fV&>Lv0u1ELxr6FdzLmd
z5csTE5cE$GIl?~4I(q1!*XN5P66HFeFtrr$Em#@nDqHPqG<A`$BgCp^yB;*V&h5W2
ztAcHI<bmo|UCan=Y}+bM2frZGF5aVRNHVG4A7rM7&C5sgCU^`XmUE%#ZLK;!JTFeR
zJgJ9=^yn-Jvc~XO=zG>1W=)LS6_FagTMreb8z!B$ngV0{+@p=cR2+OUJhx#?7vY5O
z?{&fE5D+SGBW#L_y}!=<SEH?qv31O)dOH9%#Yn~+zpRCRR=-;KWpwcVui4l>dkgRw
zjA456RSVDXOUiB~v{AEh#xLE_5`KI2v6Zad2cOVz&ori@n6uihgcVDunw)iJir2y`
zyVHg|Q`K<6@pSjQbSr2vUfQksor;{%Gey@PD53Ab_*WA)YZ$%uY5kQEP24_v&g^fM
z98$QCG-g>_!&K3)IHn>EEUdmNpZk0Rz8a|)B%G|_zpt^0%IfNPXXuY&k+%pYhG`{^
znps1d;2cv_h$==L8Kv3B@nIXoagQ{MHB4)2x}3eIj7myBcPZAhAhTNfB%|00bUu!x
zSl1|Gnw9rS(&4{^V%H8eN3a6QZ#=lGT^_~4vVBz(>xdgUcj*JKEkQcufN0)VSv<_x
z;k1E!kRdB@-8aM15(NJRyM3OL!4k0tdcVtN7!DQ}Th>=ufR6qdU9Bxr*u<kB{<dL-
zAt|15yk5rw+`i>qvuzi{&A*%~Y<if%>2%!pEyV!6q<viP6NHh=ci7iphy`FVfWuA|
z;PCXZqu~)`<jNnt^~i(-wByfBa-A5kZR7b|4nIDOw&V+p_(y`~lRBg-H*@$O00960
z4A*x!)n6P3a9i12dtTSR*1gxY$M<uM29cj66%t7Z5fO@#N+d#vRAxqzLPGasE2SYT
zD+$TS$}B(spXc+O^PK0r&+C1hXRKzYBL|XVJ0OR5V1vUtm&G8=7{<H~?9s1eMT$>!
zn$w)wz#eZg%9CXT-qyrpXJQ!9U{hH1cMUdR4!>wt-)acn_qZBfMQ_l}GW$o553z!#
zsAYA{rU67U7M7YcFVSblBVBwWSiwNmYSGQW0CHQ;Jjjfgq1#VZ7A*_0!nwUtCq$z3
zq2dW!b=u2O`aq`jJ^o4-xG3zGVe(E7#x58R9y0wz5Bm0j<H~Us7~HGnX(Ou#=zPQ#
zo!TUNLsL9AS(XLb55ARs7p@C6ERl**mpiay<{S~xtITjMXqd@vKnHZ{g+sap2Czng
zv1#KJGqf-63A<vd13YyPPam}$!=6?3Z#l0s19wjAg7_0{NO#)%d+^^+Y`mHpC8xpy
zhic?J`lPi%+0rv12<9-AC7Z&KP!=c=bzHoaLWPrca#0Sr1uX2$!6V^6S-{)e=!qCF
z6~?fRo^1Ce%wz^@QNO?nCymq6k0xkAiP?<=q0B!R)!E798kG%Fc<=r;6VL+RBd^b_
zHLPMyPJdn}@Ug?onja1AcPU_#nYJ+SeI0wG?aSjMumdu}^jfEtC_pxNw^q;k7fU&P
zecj)1C%C56$5hsk;Z(2beJRowcChAkx$;d8=*kml(zYdo#_ZB#&PoP|HkHvkwv!9E
zwtniz{vv_A$5@8pAS3)J@<^4f;0Ao`sf6x061>8hm`&iA;o|P4!lqbW$UIm1z?Mvc
z^~t47Gba`}CtvLn*v<!b4ZlpzywHUG62fQ0YFMGR57$ke<cCR<zKNG&ny|@xcjl=E
zJ3L-><)|RwAh>jqbJsNuu#QM96`=0`qcVof2VsJcOI@nnV$^^&)f)E>-|c-TX2a`w
zA+YLmwPlS{2lopaw?$33U|0Wv>9JT5SRidui{;eeOV8gG11%nS<ER}wXf6igegbDA
z->Jck>6lzhnGgIpZ7%!DOTZ)hz>cFg)W9}1yE0=RKP(NnF;Iw7Fu%kUbizpu60E<y
zx4A9=&C?CJR}aa+AHwH6p<Qb5nHBQ?4B%kuFGF#8Hy&8ozOPtXs=?tS=Q{=V3BfFl
z_Md<-0ph)cPwzUd2BhjSZH69Ui1`$L@0phzWVXt2SC*+kUX01?_lu&iaWf&N=Yu@B
z?LU-RCaMm<t>3-8Z7vQ%lk+*emWpuaXCilHi8}EAK)!*>k}%gCP|WpN33e>~R?70#
zfPj+JG<%{nJel6D;dM#{7zwR)q3)XCDKH_KFOP>qKdj5ou&Tn>o_98Sdr6ReH1@;`
znk;w~sWyz~s)5&wf%W<=60BJS^bB|tKxgonc9)?B2y59~zS={ETUIySdhW?VHb<nm
zd!r_Zel{oCe4;>Nk@~;P9(j1I9(Lb5jRcwBe_Y|3*8-Lpb_1%QBH%(bpZ%vth8IDC
zX%Dot!AifY<*|(tytB<ZJXJ@AOX0c#=hAh+I;vy0@FitPJmH16k)nV{URJ%Dq#oSb
zdusoUJQXOktuM>@j{>aT@$vg>^kG-AtcLSbBCI@Z+fijlf#F3$g4!uVC{jB8!uh@`
z+;to)tQMyL+m?ylh_o@h=?xOpKdA;kK8K}k<dXrvxY?Zd(FFd^Ep4s*RfDRc--k;U
zNibxZ)lsPr;P?8C>&;{8;Kfy}ZN^4|-QoM9j%@(k+!VR!8KVw;8Cve4t?H1x_Ft}7
zAr0~aL@&?#sDsGXzM@Q`D)@>NXxr(T0$bF>V+;K1@Jhk)*9~iB*fS$fUMn(%y3>C3
zHKA&7&};J$kCg)8i1HSzYo>tz7T7G1rwaMAQh2%v0ZMZAST!q|!K;6T{QokDkheMT
z)hR|AJmYD>nN%~l=TXUP?4|-Kj!urf{i0BsZr?|dGXt?3wIAuM%Fud;?YGlI9Q3~v
zoOD<*1@<<FKRXf>A<X+!?7LBJI4Adza;DN0hG$&<X0Rv#M|9&)+EZ4zN1qNAbTfsB
za8{;sfpWl>9jIq^`Y(3MDYmkh(G*Ul<S;c3%R=|#BaC-G&tq@tTLQ#%8ic;rQH(!;
z2j<!Ei`du*R`5O{Vo8|>^<o<>7KKvq=+c3;F2$$V+R<x*?NtD6U)DIO?cy*T-KA|Q
z|B2q-6_MFy1`t$-i+Y3;1-w;T8XN5!U0_w=14k|fem;kLus9*$0ht2PALDcqH?f4$
zU;-!hdR9ND;Gkji%2ms=Q}idxZg0cJjRAYf9;L>~53fFkT-dUorf>KJM<709sK}H&
z#IC{vPD77S>i9JMM}R@+S(*`?;o<y3%;bPbF6C@O$TVF{c+~hss3H6n4enYw#SZn2
zqG#9l{G#(qW*)s*WdQr*f8rBwvVi*R`}Y;Mf6~cwx*BQg`p}+W^x2h}2|D6P_U=&=
z^w^>n<py(ocxW=2ICOmrbM+$zZ&H8I71_UhsY=m<?%^xu>ZuzTkDx(R#@kW4y=xX(
zbxId*FBa(e%dBGQZzDJA9Y^SYS~G9=nCn7ka*Iig#4<Mi?v3fM?yqzyu1DRWc{)Ix
zk{d0&xPXD={)hs}9=dFMlH11}Iw0PCBqG}QH&%AxWKm|~C%T6Q%dw&WZEz@W#-3zN
zV}XTE0n5Q1^z*IHBi|2EVFQ<?y1xG>w(IHQ$`6w!dcI%s4V*0%^tN6k?z%FL*%f?e
zoLYTBKe*D}u)kRg^7hH9CKJanwlZ&4wZc4lr&Xzqi-{JbbVWIbXpdq+7DJU0Qt_C!
zCu_b`Ed`Fg9el}~F@n`-#9iafE611;9&`8`Qo#MOJ!fa?5EdwDQt(8%9_wm;Age>)
z&WWt!FX+(&SVw8$$7g9xSbaEuoZ~JsB+Q-pq&nS?-OLiVnelmpaoh4_)_))Y?y8sZ
z?bm%6RhVnKobLn1_~)O5jSC4v1=PZ?toCB-d+x5fjeWx2h7MwrgPJhau*W~-S}&&N
z6YF-l<_qS1XkV>1t0w$3oX<!**^6CzlGL4%-iygSNY!+vXu#%v&AktA^<pW<vL0F9
z_=@pRdByZS)FFI$mZSb}FDA>EU1^^-gne*U?#sWY1_Ap2F1tSN!|a{QpZ~Z0E>2q9
ze0u4tD%37qF44;B$EYC>BFmCTvDeK<-<C?Nf{9CX;CkCvOw(hmFv?{N(*Rb>ot{Jx
zR62C`veqD$W|!7ewRapV-V*Q*f35-ra`$Re2Zk`k^oZt|Ba>J&WS0J9Q-MZylbjW|
z5$x(9p(EhV6y_=Pk<Zvg8A=IN$`a?lVY!7V=os@1W@kuuKK@b(LfswjU#J+x93&$-
z3kv73#-yc-77|L(eN@KBiGK{^C~?2eYcY?ttyQmljZ%bDJ8CbTPXB>jxWFDE-M4^!
z8{Qir@k;^N9^ftxSx#Weq5ID9rYvEHj(_pmI;;Rk%}L%T)P7<klN^5zg#E$r#;lyN
z@8n^}+JvD#?HAUS-<kC`aTRlPZy_NIdH7}5$V^O_!9)f|X&(pHvD|w_#m^h$KwyFD
zY0LE+qxbuc>^bol>zcaX6lpF8)(^>9j%VjF_wg{b9$^Nc&%`P2dP@LpmrTdxtpzOW
zf?}w^14a-m@{%$*M1b)6Ov;<*OPJDZZ+YW?%#d`r{6zMoEF37Ua@I=wgWbB~Cv8Mx
z1?Lz-TzjM}yh?2*gqN&h%WQId`oIpH_&6L<N)|%HT$bMbS;y)(H<N!|-3jfSvmsWm
z@nG|B-@@p{zu1+vlQvu1zVdl~!f4<$9$ZSVSuraxKw->i<NZz^aDKLPS0x?~_&2#J
zx62rzO7D20@f;sa^h>xm*UA9yWxvLh8#6R@KD#rLEdVUnReGGPWPs}6P^xam3MBg_
z+k|Z|4f(F*9A1=$7c0rjU+vk!<D;>*-Bn>oSvp{rRxJ&i<i@(rtexN#-SytJMHH6s
z9xE+b(jY==cy5H}f{2c~Std*Z_@BrbrazK~=}``;M`Jut+Cj5Aw<HA{Dev3Ize&S+
zg=CkR6+Rdp`H#r}V?dn0H5d<$Ke`{!*vddk)9GJhxdQMz;NXEO0Rn{XjA6dGB?FAq
zm<9dwg5YkphnV$Q4&q)mAIXfs!|c|N^zJZW(5NCsbi7c2*v~z>0}8S*Yohtmr$iLu
z9<xvKHz>is?>jj?nF)}$`>8L+Edl)}Le{^}r~vyZJ2p&O4ni9u)qg#d0?pq}Dbspt
zz<+X~;(U}mSZM9o!>o;m8#g}_g70a-*6ZOPIBi96w!FsaQXvaXp>dhVVoBf-a8EjY
zw=(QX?2paeEeB)b=9o$g87gKTUcS;ugnJXeKx0830>3$p6m3#q;ag|1^D}i&-Uy;M
zJXVAX%-|IhfeI5n-WFxINN_zaC)y}T83xB`(;t+zLFd8J)Nl+1T8{6SvM?sXqZGv^
z4@MnO{V4dsu9gaEIWDcL|5SlV$fE7^T^&GAeJtmRx<Jni{P?X%9pZT(M@x+AKslb_
zX7C$*(8CwLvmtB3(f{J!Ew$=^LfN-WdaMyNPB{HuqmkgCB-2h-Ob6!God0&)VbE?z
z3<z%{!CQ}q0{cK4zPx(S8^B6~&cAk_X!2w@I;Y3q*P#U_*5^%SElq)CSFvN64H-t;
zl9-t1$gmJsz|wxo3@$p(sp^=KK`msYB0NYFeiYokd*9w1+SZ9@=ePYRmUl?9{5BCX
zABjYJvsl2m>-Rm2F(jxoAw<7CrvQ1B%!Qn@7VzdZ9`9YD3AfU(#K#`P!(z5~?1vl+
zIL+~Vz>z@%PUkapN^y$7n6BtI&NK`7J!&1R!=?sA+e_wK_FRw{(znv>XaNVVo9l*m
ztH4sE@3^en8m3{RmhoW092(fV%a)>*fWazwod3WxI<frP6Kj8S;0g(w^294Zf=i8b
zIrj=(PT}l5u0AtxxPIV$axDSmlP}f$&|*P}Z#1`V>zTnG!B;a`Zg^nA?x{9@<v?8j
zjx9B%m;#Z2r9Z|bVfx)=GnN)!)LY?hRlYz2JePBC(Xt5iY+2xC?(?I=Lqi+&2Wena
zzOU3_9tSSzU|-oHfb3trkNHOj$d#f!Nz&tk8)0u>{|Un(!pzyc2nxUrSLMD_nLB|k
zTt>L77l*Xk3>9!kF~|`cVJdZHhJp?);ks2E;_SDwT03q65i)P+KSMUK6b~iQj#(U9
z7F)!%hZ+O%4*6le<viBo?-_0U7Kg4qH<fY7HiBI8+zkh-5iIeF`RMdr9Ez<4*P|Z|
zfnj3oaMWXOx<}L1=rK<mN_HqtyUS+?^ZSP-UZf4utM<rv4e8_1+&=Ni*&_y^v-`Nt
z%E~Xgqw?{pYGE9rrWE@+l<9-_CvQEDiADOM)rYS?GvQDRm-yr|mp(|QwqZTSYxF@v
zsEj`&4)qDd)ry|g1E~93$1MDhUjF?x-<Ti{)mLPXYJA&v&PQGS1sWr2$$Kp~YJx*W
zfiaWq4!STkko%Hq&5Xu=PmbJ;!Xd9+_V+VB>ws)UTTYxdE2<|NYX9iRp<eqU2CqXp
z!28F?gpHXU-TJ*p;ING#N*dHTCo!rGt`si89rZiV_rjP9C%y_IzliIF#b>qQA?{|k
zoi_&xxNORO^s*3oZcy+=o=Y1>@>+)Y`MFT)-shQ7X2PhfEeMsAP=T2?r8Zv0jk0nc
zwDHP_po}3wjvzZKkj4At7F>Bz?oNXjMna;<-FAb$nSlzf28g&2%ZH{J@*Js(Vo2R4
zYIe0s3oLzcUJTy+$ny=yAyGSVWVt0syAZ4e`mJ$Tik$%3JGJ#;C0zoMPTTo?HqwF-
zQZSRh1rELMF|KY}mqbGs*}{{!wP0Tl>5rVbAj*m6YPJZGM!X`;8E%sl$m$hu5U~|P
z4xy2OOze2X>+|Od`+ExbdGZKf^cF@ZeT!!#hw*4rs>suUP5~EFHM@f;A}F4*=cZ$$
zEZU=&BxF!e0f$$NEUxcG(Q^BQXHNwIjam<zm$y-1b2A1fDJG5z_iZYAmdc@9Np-$0
zqZAl<J9e!)NCFvWRa^Q$kw+`>`C}<uS|FPrI?D7-5@pb+XNRg3P;Btr3*FsX5VciD
zI_@lub~m}*6=_sNjQQ+eo07HQzIKXI)uap(RH?o?(y4^T@0`S8i`)LR9ri0ic(kAA
zli7hjWt8Kr>>YEG3Io^3I|FXZqCeyI8(sY>s5o(dr^zf8_)8>8h^GjMW8O(XsFR4!
z)s)IN+|UN|{uhB$m>dH6`2mq~Rg|fJ!F0n=2Us7D86OdmN1Gc5-E2eD(6}}$*@jUU
zuH|@7SO1bn!x{!BI;7Om)%-iDVSTzlIApWhTcd#DR|b9sWvQbdwFeb1H|Rmh_@5E#
zMMX3qwKn2Dt&Wl(wAZF?_u1zn$z>~4B~)Q@H(?*U2KpYXBg$QC0OcYAu2TI<sN{)C
z=KO>@%4@N?=-Xfj#Xt45?szGqZ^1aYe?uL;H((3B{Kg2NQGYaWSQ!;r>{huqqlWlj
zC8pkZXAD$fiy&b=6@-a78OHLfq2C=XVIj>X@N?fa@IIr0v?J%k;@5~stCARRT#7;G
z>Ca`nS5;8z>~}$z5*75Ak!&Jt0-*cyQ}2xs6|}ouhrpw$j9RB++vU;$KI$azJ#Mao
zvLgh~XCx>h{1UNl?<hb`qLY=%j54|&U8QULMIH&1G3-#5pn*iniNtGXmC<QwhCvx#
zIpouK{WYg44GtO#nMrJ)cb4A3(!E<2$tj7VIR_dn8!TKnBCmw>SC%731-I}26^nrX
z5gPOoWq-OkD56*Us-@*$OCZJS*YhRTG{|W?V%->|fcAeZkJHQ(MXIJHdYTj(n9qnC
zm|c-a74eHUU)zNcDa)>@X(tUxH$?*;$I79G4Y~!V0S>+6vYB@523QbD{rDi3fR3HJ
zeP@1^4+Wk~((BIvFqb@J=zU!lJ!`$~z{$&lZcnY+$~pirXQU)g#^RBXkLD`1jROgv
zOr9L(0<fM(Bg+IC6!@1Mxh1p%bqSh%P>aMs`owve-)2(i7)!{s;Vdf}@Cy1WJ!}FD
zDkH8(!zGZ(sPbDD3l_v?cBhtZXaW~rUNG+H5JOLU&-WK`GoxYu*rQ!{jKL_X?c$h$
zDB2zRNY=-Y36&Mq9BG|5f<Mxo9KNl>NI)e114{!V>eil0t+X}*+v`?KfoFwK(y~Z5
z-yKF&)0`w5USbHXiq+RVFhTTZ_Di4nV@A{=A@YRIX$ZpC+p4uxap*@}JU#gzBbwt*
zf5GT)03P+v+B|gxkbrg3CH>1x$S2ys_`w%_kRyvkgDXE8R8MuOCNm?mmP`Gkm_A6P
zmBqCd@}c?NX$P9wSrFr^*)WDDdN5F)RX4`Thji4L`i&S^QS8-cW%77EVAatU8WiS5
zBtq`gmIxbqS~2_k?49ji>}F%)Z^?r!44;J$?PEt0HQ8%C{JN0y&a*|UoEtfEa56>Q
z+kraU-2;UZb)djWHS(VYH*)`=wyeFA15u|UL?7XFVA%6|)rXzj$oA*?Db7SrG)HW_
zHkGLj)~o7<-`BVhhO>!{rEnvLy_KyjD%wzzB;fN{kQ-r~SC3T8^B_HZSf%{7->d{;
z=sz8~(XqLwIU$~W$e(ubSmbv84~ehqr8jdU4$5G~KM#JiRPJ%yZcYm_{Kwb+9p*t}
z{**DlU;)G%d~5%YBrQm8BJL{^;zcGgd(r3}9QwesNR2bl0-K||^gLF1(Uh$8i>q%1
z(N|l3jl7=}D5M9B$Xwz>EB7p;69t7)jIW!_{reQCG^LKv#rV;l6GOMO&x)Yj&68I*
zoG3ubjefMhg&$=Hxp6(16h%2tpSoBPDBu~Q)Gm8X0R3WlzH>BK97W%I!lV703`WbJ
z%`=>EC~7QFX<R}Q{g%JEC%BaiPS*z9<aP@p<-K9r&R?a_VKH*U$Rjdv%Sx(|b_<~=
zxqakE&t*``^1@w@R5F}udvZX<Sr|#BhwT{tj7Ls~x^%b_$nemS-@-Fi1nml^c(L`%
zqV((&<}1l$7|s~smhTWnF%E<_;xqyMm%bYBwmo02bn&Z?f;h?}R3h3=d8Cn7C;Xs;
z4AD)~pE*(`(8>MI8gxws^m<L19mhlgwvT?2q2f}gA^t*EgtH>L)q3Hck|hP4ZYImU
zdM=Gzc#f{$zomp?YH&Aq7f@irT!=y<;}N~<h)#5aGWu=U`L|s}3wV_J^Y8P?q7<)A
zh5Pd=h;VA`*3f+|c;jpN#CSy(QB*lMBSciuSn~UgK#U6d4F4XeeJ3D4VXbo&>S{=?
z<-tMR3Kb05BJT@+l0#=JUp|~sQ%6Y;zZW*QXhS^dd!qPjdDQ)0I7WzD12H-)#E(AK
zfkzFTmII{<s6fUt|4Oq4>OzOoW{P#eKk5>9P?92gAU(i++*%XeOgPdIP^$-18h?^v
zyp@nA|KTqJS(@lbg*<iQt3Gr|)SYqAQbwLTJ}!SL(nM81HuE2`8^Z6porJ}4WwcBQ
znsGU!iIiG{Gydrrf!#C35Z5Rb<n8BB9Q{iJ*%17lEWC_C-(qX1XI%x^>X~nKiD{tH
zYwHA3k_i+EU_%^sMC6?^Kg9o64LQV@oKh;n;PP#2yHl5mXz$^R{w{Y_QA+Xb+@L+c
z5w)jur&uB~B}e3IY|p!%z;DFg0x&VGeEzBj5ltOaF&R=)M)tYxP6rie;FvEW-y=*!
zNwqQan<PaPbjfz@))^YS3%$Ueovng8G>;d%$;+b~vmkz@fCg8*hdj=2DWlC?cS99^
z0us#PPabHY!O3v?A(F8&5^toBl(OQ{lW#A_@SkXK`I~;ic_$_GpxS`%gp?#29g_)5
zYo|e#TxL|In<Cm$YG{b}6-BshD~p%WV0ZO};M{`>XrjK(rjt_$b^o>Row!1SwcLc8
zqK5J){%=6bAd>)Mu=0=a-Tse4lWv#465aOD{;jg^avs#D_xuQ+lLq0;d2YjtvglX9
z?V3~x4kSj_v~@%Pei8Ss8hym0_eEF#M$p(0hg{jXu0Mc@e|_Anmkg?9dcEhVC^O=?
zSKM_^48T<P_!PT^6v}0hj44iLKugPY+9sDVn2D4a{7+v3X_!|G`dIv>E4K<H^1e5L
z+I_vloK|A!#XG|O)86a!oU^@|NYn)A!CX9M7eo-}WsN4?;8psV-4N$5cVp<kQJ%W=
zQ3yr(g>q`|TA|C=Q5qY|jiB@Peg>+gAfkM}cFq+2q3>sYdPJSU2xOF|kJ*h2Ai|-O
zD!bbM(BY-IOS_#ROow$CuoUp4Ws>WyK+Em^wZ0a@USt4?m}SeA>wIV~!-?+zX_fv(
z!AFn6Yyd%T?-PB*c#;3<CPIbx8a?2()5Y`0^&!@NAUDX38||qiUOYLyPUm|n{B*rh
z5AIm{_v3$ZB60Sgi~=Q_^z3L`@m8W9aPC&=vMA<2&2qD%{n`KMlbqwvCsTESB{NsF
zGG`}ZV4aEMJ<fnGy|8HXVAX|!*NMpoJ9nUY8(rDV>x`(***Vngyv}y7oNLon-+>C+
z(~k=_Gogq@#>H#%+8}rC95KI!9XX=t(?-H9DCSE%GW64i_d%!ZRRh`4?}EDFa}lg)
zV|JR)XO0R7?~Y95+OwmPXjY|Xt87Tk%)VYRm<kpzKIG{iV@F&EuP!^r??9(#$c8an
zTA+1ndcRL1J9_raD^*vY1D#qjzm=Py1&R%({ah35NK|?KVF)7^QkoU9Eg)z?FZ(x@
z-EKP&GaL3KVS*b;)4nyntliGN=REK3Fz!S(rInV{Szcu1@}HdO5eo3lUFc|U+KGy}
zSI1Sk_))p+)(*yhWH>LcQ@2^dfu1M#h{aI_P@#PWuDOs5QmF;PY1N!)A}YA3Cjf_p
zV<YJehqm)Mc%paLBo_)ly3}6Ryxp^K$zfhRWS}sZnQoZyppo9#jGts-MENgm!LWk_
z*GKiDhw6Ay?3=2;>@P%+>5X4^KP8bM_2HQvg-`jA@S>vh)5BuOU3Aa!p<^U)_u88^
znZb{gWbd}Sh)N(q#lB0bx+E~f1-@iU7eEEpW*d&nlIXkJSJymI5^(VNEqyJ;q3I~2
z-0XR2q%k*3vu7niDN9KntxpgYxIc0qyNciTcAUlMO-;xbxn0g8EsVbVUB14UCyP$!
zw~Xs<uXjsq&FKjjLDXK>u;Nby^uwI{yRHNY!Z=$V(iTP0#3>6eGhTVL_TgD2n<)u&
zL)Y74uZSb_4V5s@!wSe@+F!*joCL}{Pljb{N}{=<yffTois)nP=Nj2|5<I`1?!LMx
zh5U3yJP&d!qf~hlf~q<h6!!1YI{!fit$HbIxo<n&U-zTw@gg!LI(um4e#0Z?BQ_L+
z&qVa-(?i*Ki~_7NOc@`>WRaqvcv7~e8cGa){zq?~0yhYfr9*QBly}+pG2=yb#5gGT
zAc?L8qPIMz_c6$${{a91|Njh^cRbZ^6vyqo_vX6hy~ee-@3}@pOH-6lMj5FzXc9_A
zg;FR|Mj=wEM0`(*pFJZQMk*`HimZPAJ+J5Wdd_&B^ZtA&GQ8Ch&-HMuwfYe~-x#)?
z46XhprjFMW9|bMf>!b63XOFi$GXbK5dF4A*10A-hwCe9-pz+A-L}r&M2nSvFxS^+s
z#a<@F$zlek5AKltCut5`e-4~0*44uI9_ugh{A8e&F?WWvzXecPtg{2;wb6~=D?eb7
zfe*(+s`(o%q48Yy^`jHoxQwKZU_S$eH4OP%%&ego46OWfX{h(2+^*y%1Ak_ENB_yR
zfwfEfj`7*hF-_2Z4UYl?@3uQQb8!=JTD7e{Gl!0m4<9F_4CrCzv;bQK9l&$$?wa6!
zIv(4>Cw|;i7jIkU46#)Kr2kjdIzCLtezP+9Ix9MIH%jDRUdIHfgw$j96?Ejh7V7YY
zO&fRJC~$HwW5U-YC9drrbi98d?+;(P2F83c>}?UX0}i#MbKmP}NJ*r-xlz=Ra$cw=
zY=a$m2Axg{<D=mhm*Di@85GQmA(|M$cCeqi{7*(%8w0f+f^|HV@Yi&a6xT63n4L}v
zWfRfDx~|G{)-qWva0;wp_pyW36K!l(-!#y2)3Fk+gOYfoswHa7#tzP(Fe%r}R7V@#
z1FG&<MA7qc!_FyAJ2;k>KCih=4Mo~5%?~gIuzOS5XMd6jA_u!E#Ih>dd45cjapS_Q
z@eK-B53JPn=@7I%px~S}+idtAR;+HazvwE?1g-G3LZ^19;CcaP+S6O}B)!Hz$?w@p
z-;kreM^OoH(e1Q93Qd#l+8LX_Z2~xP{vA1;D~}hi`!9T67$dJ7TneXm5MajYUCiYo
zix=K-em)xfgIplT-aO?cprb#h#YS5i6K(oNnq~V*LFucKfrKrzRI*anQzemW7rW|{
z^`FQ<k?l_!Lv3LGS3%UhRpQvybmVH|g%2ccra9!xGiz{9wp6}<T@-IWR&=S@+(}YX
z=3g<VtzbSoh4{oPf=P2ORdxCw$Tzza3*0TN;BUOY;eKa9q&O{`)IaYgDMFnGyrV1u
z3s&VBe&j>dr=={rE`K4fP26$vZnFS^Sk6Sp0v@zYo4N^x{p4nD10NR+3*fC6OY^JZ
zLa`?I+dQ1#NWtD+4m#oH!0mX4LqmxZUkF7k&S?yi$8KKd{O_|FtPNDF<$1=A?f0|h
zjbld0+p&sCyo4F#M_u}w8_tH}GCS8)%8rvQqZ5}qvP~hlQt@_sI4fGNyFTqV`kS2J
z`)g59)D$+Vzub`cm<64RlEm1*Op*@mEa}M+CUC;BBA?06f?961=A8Z0<Tif!eIC=s
zz&1KSqbvU-vkvrz%+3BGRr_t`)&&`Zte1YD?U7}Y&C!D65cMzV6f4@kdB_Ng`X=J;
z2`-buMU?C>z6+#LiBycwej~^`;qZ2Lc!|vS-%UMKxkUc8Slf5{ry)$()O2QZER%(c
z-=CdUV!`WE(rU>^4PlcLs5Q7PlRlT)4vz(~qHCL-ZwZSbRJ?Iiup3z>Wg=Z(E;O;>
z(>%?YZ}A3DzSaI={F8sACi|=R+g5X6!0Fjpnz{k-)id<|xUk@34F1>C#feh!Gb-uj
z3^3g0`t8;v3;J|2p1r)ljgDso@3^`#pe*E=@aRKUls<~=M%#GNYqREdwpo2h+3}cq
z>J%FW1)BtYa^S}kgBPZv?eyVnskf1GAUhgmNMsz|Er>kItw#%P>A{W{c|EgX9N3im
zuYELK7_Bdlvh&XBf}L{JjsrQI$RZ&1%YsJ~)yjt#?DyzGmG;4nx-(qZ3>!+GxQStC
zl^~b?2OaqP`tx0_eLUDM?eSKrRvf4JAF@=r>cDcfh)4V~FP?SN_|v*w5}njOmm7@G
zVN~GY@78jDr2dq9LuHr7^&Dq1yD!l}WzSGq!UI86FfOUz-!6md?#;BlmUK{65P6+h
zA&m1Lmo&fD$f1<1m|ocu4cxX~%w%B~MZZO%wg=x8@bbCj4_cixVA)a`?G9o{4j4$q
z(UozgySR5lH4UCf+~A!`7RPXIO^Jm@6^!1Qe$Awn260nIotQ$B_$2k6RJXh;E-qR;
z+dWT%Bj-4G7u=J=G3V@kZsAnaiQH#X;z)<Orpf-mZ89kEt#0GctQzv%l<#@@k`9HP
z4)1+6<#5Xpr$yap4g9kImb%?`9r&ZqeO^jl0rz~0P9C6W;XK<Kkq1;=2pF7^+N-aG
zr0gR~Vxu;u#0~PC*V2P^BkN|K7^tAhpDn6eBI)?~%jo0V{`#P{+9NU5je<D?cUE1p
z(8Z+4sC4_|4De<vH1CX8MgKBJWWk6YKGZ(*LVuS5oL$yz5on|0$i0u>VjUTn6ti34
zwyz=J#D^~|^6KdOLYH%%%K+<&YjsO+8bQcc-Cc+GX<$8{UxEHp19U8P5Wg~R4255B
zIdMGIMD5_9TLZR+81|;3<yfF8q>j1U!?YHThxwk~kY$L+msM+8c+H_!_WZ(a4H^nB
zpSxAiZHPkolfmh4EdbgJ?&kp=9T-m=SU(uz^HY=lTjQ<3y{$+wz(NOe`J+yJNisyk
z|C$QF``AGChV>_kxph%o<YM1?F+==BS2Up+6R=}}&TP4_i>kxX<@eSZ;G3iDe$}A>
zVjMmfB-r(E6-T@r%Sydx#I()|IxwMoZ53Ws)x*y0<#0ZJJ&ZP4(jS;*La+XI*BeW^
zDBXOmq+g$oQvXR)cV4lB9qU++YG2nyv0^d(d*WIsvaM?mmBk)PXI+En-*vD-Ge_{o
zdo|p2YO(p>277p6CfH~?M@PMmGNr%-3RZaa>(?B&2b00ID(l;6*d{LYPqtA3kIZZM
zZaTekp6-XtaBWP!^!iZuhn4p=SlZ39*B+F@^SNZWw2&+KuH4RjqS!V|?e);HhwFTy
zUaLbikVCdc=ZFR`mMkk$!}{#ttnxlJ#U?fM%{l)@p@{|ejg^Q5MA-qi>q}NsDit$y
z)Lu+qn<6{cZb(>`wS&TkdvX*{Qm~9?ri75`BfW1V$_GAVLhjonP3>Z3ytp;Zw3+gh
z=$o}`)i-29id@s4-w6sher3*m?sy*&_WE6iNGX7$TI=Juo3fa5vER^GXq1rW<Wg0&
z19*CjV~2l@6pEdqJG@>$K~$g0i+X*F07Wz2w-4zOnD=ta=Z=;sVx#>`L{yP29JJ(V
z533YKE{<&;{99&-%Gj#x#%3D`i2Q=@<%IF{gJhj=+<yoIwfmelf2^U0O0J5P=EwVV
zI_y;aLp1o4i~MTVuw7Oyw=k3&e=2NzI9WSG$OT{AsPAe8&nlh!_nUHHqky=fv&szd
z-X>1(P?9BxUmkcoxPcYZT8OnRFiqI3vx4w03n=M3O@<y^BAd<+47f3;h@9onPF7V5
z*vVz}ZQaK?(w1{*x0cZ)p&-4ZH1)7KWX2!$%xan@<*2nc!l@I4;cd^fU)5%C=DYtR
z0b+vu9&%vFTj4j6xJ1$(QOscIkfy(Y%}=t5Ls7=dX`Hateh?aU&J?<yak>V-`9Yr9
zwV-Bs;V1FIG0cbY!vui3pei=qPmXJ~M+Hrd5S}w{cOKhh0vori^B+3<iQMa1XK?)H
zFrmrVo+V#y3=N${9}<+`lXAL>abFJ)5!+gcmy>$N;1f8pG`6muJnvpQ)^cHx@ZIv&
zxjD-SdLO_|zABRJO|z-+?)X7`$(<{?tYidnuekj;DLo+18HPs7x&I(^q=W_8?ij+N
z&EXI6Z7D>(;qWRs#UI4A(;spq6%8TdTp43i&I=+$HOO$E#1DdReAS(Y_Y7cR=d|ct
zK_&5V(u^i%_k;M(wti=ZwgKFKms;$7xRw|gI-jsR`v<Wud0_3gVg^VIv1?JWnJE37
z<NV%ckhl~$mE&&DfRVd?3hzF*5fs{nW`F)6V#BA3i1A!~81>NkxcIt*aNqHG_c@_q
zVw;Ugon^ZoM7%6{QGBI~C{T5FU|lmpa1T{xonq62oQ-+Y{cfL#v6hRs-CvCo9<K48
z*UWT5I7XxSk$w+hN*8~4-)D@tRGy&Y5~2edL#xA`WBUk$V?^rN^}mR|r%U!PpVDE=
zh9i380$+*lYfY)@rN4<cVW$;u&Cy`viQLm^_XY^X`k5*I-xCC_>oE4))8J@Qz-id{
zov^1A?Q(OPBKEMh>Rz~^4Ywg}`y1&&;*rRRUT^(05qFt;Fmyx<%pH_6)Y*p#Z{r6e
z9ie}SL#)*|A3JJ6#>p9ndy=DsPSX0S@y&CDS!+W-Jx3G7)LZ3qw~Z0~y2o@~Jmv|T
zn6Q15{F=}?#~sF5{fn57^)r8aZ;_}POJ5KP)d24WB4E;Ng1~h<S;8p)h$qbB>URg#
zVR}NrC-l)I(UZ<Nl0U%$>f*H%q`NvO9eMqf?l4XGKI&?mKF$UK7mKyCy4B!g-oYz>
z+5QlgzJgw6Y8+5#m(O-(mm1hAzqqD8HcRB@Z}vX2#0htwpYv)Spu%M_7kyXmd4fJ1
zw@rkb2Z*}C>JK4Qh{~MyEZDI~ygoD1^VN|L$f14(eO@Y*kA)D=`<97_`@&xgNC9xY
z9~uzxKovfC$gF<Xv63IFQPrz3VX(?5sJOdP6$H}n*8T8c1CF|$+8x%SaAP_4aN<7-
z1o8RJc?okskPzc<_g67+W8}^!mr=m(mVUX)C?}-pKRSBwnFJ*Io8PjGra<WYH5K1K
z+_1%?YP9i*6xi)z`MYHo1;ho83sji!0YBF*w}yThaB2Oir)p0D&8n`iJcR;q_+gF5
zhSl=0=2O{#hb;wOyLrd&_Ynq-t6Sfw{7?jgC#J(r&J?hW_*o>cFA7)PJ$Qb4slexV
z(N(plDe$@Q4kN5Z42Fd4&8o&JaPhfwd{_+y4(};^#+4!glU2f}-lS3Cj@VdJmANX6
z9f&aqjFp1W2SLn$V0FlJbClwKuL@@kKDP?x$v{l_K#rf6CfwvSoxFID3K}15X_J5C
zAbf9KhH8j5<hrfzzMiWF;+L%c9y+23%v)RD?a81+t;xYkj~R8iW7-@zFRTK!=US`F
zzw1Jo(Wu+^tD4Yj!hN*v3<WC22ITn^88BeET_Y(%8%i`yrdn93;L9+#`m@FWind6n
zSH7pi&D#|=@hNKXK=91zsbE78o%8AFyrBo~WaxK!rUv-s`L=7FH-hVr1I|c%W5D1s
zasHM`P4M^`oD&^x3|XJPwi2%l;VutvsMrH-IJ~8@aBO7{9(<*}fm&+}L2-O1>D%a#
z<9A4+Wo2(}|Hg0PENlkvCRcA+Gp++1m;NRw8JmJnU2I2Fqy-e;8T2jPrw4i3g-$J6
zrf_PDx?HrRH9S1#GZOVgA98Mm75!IY0`s5v1l5Xd!EvIYR>6Y-RV@au2R|EwWL%DX
zSSEmUY{R+a*9_R>7h5rX!w3%ak7_^dX2MHL_3&R~46wU)&ZT<D0Pe<7qdk7D_~<=W
zl+=|ttNU`~ixz#D6+9Fe-enIbDbd^>uNa^)IAyN8oenHPPn4!(9Uv_wYU{nt43H&`
zOI=CQfOlQHRjzY5g1~52aZiXo)Sqt+`dmkWyx#VzOr|5G?k;n5{izG#opS4hx5+_5
z)w9&Qs~mxPc59ZHk`9C?t7}=7i$eISA<7OpNBDdBtk7*48Vn~~JCv=&0g?0mEYGSO
zK-G7|#db^+?(ktwe()%9?zzxH$QB3iyVNvW@<<(cu5Uc=-q%NVK0lesU1twEezZOd
zKPqHf<kon(&69O>uh1rAdvFz1cvPW5frXx3J1^^VppVi-N@j{36tKTDjh#@0@NFFz
z9ZvBg&E%5r+oct~G3O~1TO$h(=1ZR++A4_kI&xzJK1{F}bQFF3MH2iR_ZQkN2xCW&
z_|f220JGnFwl0~8!8O-5g_bT6WWqj+mGnV$YNT%Fxge-7hNf(D5k;QE)!riE1dO-%
z_`bNx4YXIa!>$RUxZY~a^?sBsgf9>2ubpLu4r+v-%570p?V)Ga+_V7?!|rd~?SBcj
zd+!c1&x>Mpmq=XhOKXVprBBbk`b`{_jlLt}E{dUs0+(#QTS3|^AFHi$Kas6{+0s&1
z6vg~{14ERopolJWA$RB*@qS+Q>d=x14s>T7VD7bq-{n!<Z*4lr!B<(o!#hOqT)#(0
z*<%YRAIyCJ&+7;26&JIrvqS_P)jm-~xhz1z-t_MJlfTKGHgN-S`64*eGrk<}V-CDL
zk+%1lGh|ahu=n;N5!_UBy(q8F4E8$F#f(z_k`>Lr3TU+=D2cwxqh@BnxwE9}_{}9!
zcQF2T_^b#XTPN&1pKl6xee<lFGFdREm{H_oEs8}S=c|)7OyO(rjoEh|Y{+Ak#LP(+
z#ia>vjkE_Q&}O4-a)g}&Yxlk|`X(TTIn-W*Nj(#=UgUk5l+1~Z&zX){DPm~%BXC{P
zYh$Pi_0)A&<Hn`7rV>v=9L<mC9ZYgI20N<`t&@*<aL0`QV%)MgI!e$B#YT-lATDg5
zwkaR>s8rTwe~`fD+#yNZI3u`rl%s{H=Euo2QAt|8Bx<BP^Sc=v!EkEs6_Y)Jc=Lhr
zzq{R1NSsYrC><~aosRG}eSTpqj_K@;XO}?=i=Ssrsv&T_eB;mIBZ2{C-#nt$$|6Jl
z%+ivpA>_Y4Q=hj%6bIQJhE3+n;Wx*<u45EKkVz$O89S`_-ok5oOu7O-DC#yPrVPMG
zvMr3ZRvagFDG7Q1DPmPwq}cN&16cePkvZuufo#U*r0zLoJnmHGM|*An+AIucjFQB}
z^_r!n`6`%yf)<nXzyPdej$}5KNnyqYmEB*mC}`ETT+h7{?>Q^N^MOkSt8#{IHs`Bi
zhwO>sN5uw^e=jmF##a{opVqMOS5Wa^qx7}^S`FZ>g|U@!mmFf~7qi$;YB(-dq5Sxt
z0r2p#|84V7z@ZUO(`r@?j4H0ptR@U0%lY)q!8t`_$jXs?dYb6hA{Ke%x*?o1+7uI*
zt&E#aiY%`vUlii_IwrJe2!2UD2X;MCLAip|LHWztxYxzKwe6%4oU3X$X>f~zwZF*W
z&>|Y{wJ<&RM#LEMYMz})j#NeCU-7TM*3z-~S*7H~3S&5ZDlH`JFcn|itsLFitb@^(
zoF8{Zn?S7UeTLZ{H54{~Wy$qQ7tPnp%DmrW3W}GSho5d#NA`C5;<2-OXtn#`{mSiT
zU>O~=)814A$J2IS>Xp*RvW;IVggneaB4fv~x8j<Z5y9CTe?lKk0_{9+g<3$$9g+6z
zubSx8THbyvT^}WjUL~leTf%?LPC?0Zt(EyMAAEjRA0rR6_<A*1L5ar67b;9`6zEjd
zb(Pe|Rc|xiaxGdzQ~#fbGu7I7Fgba{PftCZ6y1D<SHl(>^E`hk(P^04-*scjLl>1L
z=bFdu2#C5R7h2~}!(`i*g&-*%yiQDrrKtmC&j)VjkDy`AyUvD?D>QuT_@HL;HbBhV
zsyMMA8VWe*O6+LT!nrHavIkh1!1qKX)<u_w(>A@H@4ssx{g3*)M_ZYI;eulM@3fI#
zy)d-)s~YOb4#%k_Frg!Nq|Crr8<SdV?TXt}F|0e=lm3bcrTq_mSA}b#L#0IN<0=)@
z2s=DGSI-26<ihUNd74=8eXo;Jf+EVNZ!5oA$AqPU`bd{j4ZOdmv~pvkEI#pYIg#*!
z39@?_>qVZcqmicA>e9_pI7#tg$R#qNC?a6iIztU79?CEMqKTtI@A=+nPbM(JZrR;9
zN5%I6iz$9yB6vlF_SufY1oo(-*TOwiaZcg!u7zQKOiMXBTHFn=xXH3=+=_zR9flLa
znz`}Fz$$IwSb(18{~RrqR50LvbEk_x2eRGSE411S;FRU5t7>9O7${y^yFZ^5^HrX!
zOCkZor!GI5T9(IqVfFWK2>v4vMwC095hNf!=<NQR+;W)b?YSkgbAi0G`a%b%t1YnK
zY%sf^FM|clhmRBD|B@{VTQU!4*}#oonMRZoQusqMn3t5FBSrq(^+;yI8p`~yk2QUl
zz_%tRTQuBeN%;?Khvo@uF!xZ@(>yMYI;Zble#w|6lQ<TVniH%*oLOWjLlZ-ti{%ON
zF|%aIWZqlZK}+~0msrlnDvHOlc5YI2nj?cbx9S*xB@ii2?VQuXNLT0QSKarQd^<V*
zW>cC4a1{=CpVSmWttHg*YMCb!TX$)vE}O&9ZI(Y*Qv@*Rmta`j$we~r2tL<X;l-iV
zUAuKw^W*wWM(ZYaFOv!;cI9kMX3*Lkx|XiXhe^}p^-1O|cwBm4s;RXZ@Y`7KJG6!u
z&*r6>gt)Te9s1q}HH9l&Xt0i9yUBxFfBISeca06zqzjLe>Zb6h!t0^DI1jph5YLqO
z#E#w*8_!YinZW4@$t;s{ZfrSWA9LP{6Zd@B8^%I0freFgEyWYLk>!nPc-IpyOh2RM
z;g@X;t*P9a)z`RD%B6&79l?VW$}y1vD}Gj_the!LF*imRpZO5;ofrAlbxvr#HUjRH
zEcV2I+~`+PR&Xna9}hhZmwmg@2r9%kZ9aUE2REoGJHC$=M2oeeH+_E?!gR!S?x*a$
z_-^6_`8jf>uYsqZJ46{m$Fr$j+^=~tD>p8>s#OF@KdMQFx*_;fO+G)8%!iM?xN&+~
z6i;2<vin`50oeC4Z5>niv4^=+`i71;1{<`#<3GJJvAFdGqND(Redg!2=A;B>4lD2O
zXBYq}@QV3_PY7wM^%}2xCGo{0=k&^-3~0a9@WlL#Fs5?6nZD^EjTc80dF+Z9AXM2q
zJQpj1UtLA^hs?>K%6G;q-qR~OS#Z6xcCaXxPEq_C3gvK3S*v-EGXwlSoDlr$yTaqC
zg-0`y3i#zur{g_+28i>M_BKbw@lN~Ck%ePQsHf6+Wt%Jm`YxKOHKa%&-yo~?Y6lf8
zdoC}fAj|+t*2J2S50dyPH_9j2or1eB#qfg|18#L)z5HEQ8owPD_-cAV6$e~2<8{>-
z&~W^2S8<vQzT7?XV78pP@_+r8j;&(AqkGM_jWy-4`n%`oS$1{w+52{|{v-q9Zy1{F
ztCL4j@9n~q+ceP6SdD9`k^#=vk{kLjDB_yX`GCB~niy02ae7e20Cv9r^(A+gGV(9y
zxrm5p<L_nNyr7!~FfZgsjm=a+n`65tjvuDsV1e4c9V_$tH(j2-Ig^4f_DfkTHqsHc
z_3_y@8^Vl=fRf(|NBj2CszQ`>aYlEJ*C)vcw9k98guJ5SJ?i(8U2b|PF-l{J3^Rt&
zqkn&g)u~~<#82_Rq56pYFn=S=1b*j#Jk#(|9TgQ!FM}xqv3Sus^M)xTNAMJJ|Ik4B
zU;4f_HyJpSq_;0}MUNRT+Q~@`YU2K=e^1pq8QAk*rBb$(1#CI=u6}Ko7QP!T-f`qN
z121}r#{WHH30E{~enmdh#ygK{Q}^~U(4q61(ZDAw_~9*gBp`%_ou(17KKB{u5+PLK
zy2=LRmxU@Tgy`7yI;uL&n1Omd{?f*Iw$Q&Oy1X!wj%!)DrjzvaG5e)ZK*kaQbJRN>
zRx3PCyfUS=oT7^t*wc0PtZ*mn*_qQRJ#_q<t;E0WIURXZd%BD?m|*q$RrXn=qx<Fc
zi4|A1vFfwCkH>8$c&s~g&?A_R?~YC!dTpkOFnMXq)GQNbgDz!+57Y4D%a<ALZ`Clu
zs;R-m(hll21akc{rr~|IR7IiHs<>m0{ZhdmJGk5Dz_)R`Hu|ts%+5SiMzi4kmt+pw
zfqC2OuTjog7#}ao+x%B<<$kIN;bRA}$&}-}bTyIM_R3@QwiI%#S$zN0-VPchtutk(
z)N$5sw2zr7hBr48_0b}BP^(-?mCjYe6#APrFU^JUu)r11#YQFsrT^yGw}XmVW5a>(
zWO*?C+r7-4;Y^rIsJVQNRTWQ!M9QxlX2TkN4*v{ICiE$evhOTX!8Ph`N6uO;kx?-<
z-I28b%Rll?>}Xa(KIf`Of*b#kcPCu-uighR*;sx^#zg^J*N?4j?Eg&)s43dlu>sgt
zYwk2!mc@sM_O5fdF-%ft_N1~~5l|OXQes{!jVdXGko2<w(oLe%PyDbgguK6MXHh1J
zUZt@vLh-$1f${C|J-If((b<Hv9pV_-70}|%_KD<6e0f#qyETZmwhSoAi6Pg<y!Y|i
z-Q?yhscYS8*05tFN$Yrw2%Zmk*#0-Fn^c>dsx$Mq0$Smgml~ErxT&BuC;0v+^2Ljv
z<NKdl0)NbOpwKgZ^i<z%nylGNGH;!s#;{nz{;y7jJjZ#F)$HRB?}2_&EO2}H^{p1r
z5w87(C7c`Q&%UrQyZ4Rs8u8g4o^KA>owQ4LYdMi<YV$LDK1hnt4JHhE%t1GCMmcmd
z2i}N{mN69^B{9QdQ=-2a{E(}4(iCGy5s8FssXOCj@rLA05zVGh;kef%jGGP5&usr2
zqccGsFs^CnvsmHI^2MoOT~_>kw9NdR@)Y?$00030{|uLhKh<p*hwYJl?CsdwIrjeD
zMx`i<Bq^a`gv<&Jk*EmCOh!dYRw0UWCn}1(Xh~Tah3rt_^%vaF^SPhr`@OEIx$23m
zdwMX%l&S7^o(}iqSHGK8Sfts=sg0$H>w&*}xxw3&b=qmgT@li-L}M@78{e3!3oN_S
z%Oqi)#;H+y`$*slZPbJ*h?QFxR?{Qg13T7e`Ry)A>@|OB$@EWl9ZuANV5f;^*7<9+
zbDTZw!oq8`3pU|W9lSbFwCyZquyT!NP#bqZ)|L*>oZVt?nW+uNC#IP<)2-8(9D>eF
z=g?zP0E_+$Ic+#q#W<>*uuj{(KBw$P$B0?Ek59NfqC#lzZHQ8!Lz^Na2cAeKT-qXX
zmS-y!-qb|}A1$Oqo$?;0pWG}sl&li*?;8bd&-(i4n9!q7!k&Z7G*+zrRm^G<NdbFM
zc_1)Dk6l%{`zw>!k>g<f@o8}i#C1vTzx<p5JqEJ3hemUtRH{YSwF_Dx<5WC+sDcr@
zo>drZ%HhHXZCA7Zeb5B+PlsE|8kq1dUFAowejY3wNPhfCPZMPBgoSqfWX9f+A^F`Z
zd>9+9KjxXI0T*+XB~KW!qQL6@Q%O-IY;<sS?i0`ei$7eVfe+ZwYWbqs?FoL2)cko!
zB10Yif^ge!%S}k#!?xagN)U%N>UTRRsY91jbc8PhCu%#+c*Q9S;|aN**{?6v;L)b0
zX0J&uTz1-<H}hKry=tt!`<+ySbB;s7@9B9ldg|C=`$;kEs^{$eX{-jx;_hPU3Vc{D
z5v%f$O%lyyPub=1tAT`)&Deq`33vJz*uUK&jU}&VqSTnwpzD5zQs`5DED~COb^e<S
z4t3fpX7Q+jt^{NLWr`p|V8>##nk<&=;bQePQiI0oH}6tk2w~q*Z^ciEa%gkdhdKPB
z8W@MP9IFl!K?jY<tbQg1toN@{HCtAL2PZw&+P8|KXx#Bzde;<jTl)pl^>lTpkp3*b
z%~%3Q_(QZ~Rh7{x>~7hUBO0)uSM~EBJ1GpTFm2q@t%6@<zMnSq(}b95_U>>(1{n<4
z1uw^{Atf>Q+>=r*AiYzp7C1)6+p;Ac4-7OghW%w`Zw3Y8RXW7$b7V2XDW^{QyCz<(
zD-%tQ+IVjk-MOq^<WTvdT}2^5!J3P!w7@uR;Nm{Kv!1Mg!&On&HP$Hj`JWqKdW{bB
zMW&V~`6*(Y>0GCM5fvS>Lfn3G>Vea0Q<C~4CG;v6ef(KV8@)D<m(^a<hfs&bALKb@
zG}7PmPa#zs<!Ud;*vJ`z?D*rFc^Op<W`5e2->i+UA5>gYKO4aSTcd=nfg09zXD~(5
zw2?CR`X*PQ3A{GAHEN}<j#SE}fHP6r7<X&vNK=p*nAIxleEqGCInp~<N0+Gh&RUrM
zz6k+`ehv;^O47hLtw#m4sZ``mY+S551(0*HFXq*R29`_}g=VW!@F%GzS<cb|+NlSL
z9yU!>6?$^@OrHk6kB|OgJ#PV(scdUXLmGG{Lv1LDRSo&_o{QVXSwf=Ue!anP4LlJ|
zdZje4gxj0x6?m2`A;-xf^5<)HY`81oF3=#4Ta1i?4q92k+RjkZ{ysH4|F*g#G=_}v
zzjRZj{H!41HMe4Aohp77(~W~>33N?SBV<lkLCt?-MiSmCs4FpeL1a(}V-*KHoAy{i
z`VFlkYqLsdeSBSH@jM@{2ed|o$XG!fpL%$Sha%RSJqTC}W5@F8oLtrSmLP4+eb?%_
zJSvC72N^wjG*jvqoH}I*B2p<lo5kcXOMbe3Ys>=ems(kK0IwzZJnWAV4I^XsY+GQ4
z!4U24{GEobJPRn?{*3glQX1)as~3!FfOg<oJl_>n3%H-+TQZw2fdP9nJEr9O2o?A#
zy!#P=lTkY*vQQKg2dbX6XN(j0_CK1QDS)Q8hwsZ?A*^`!EYXW|hIn@ApUnP50#dD2
zU4K~#Ae(>@@885Z;^(oB9N%JdSm-XQks08_j$p03j@%1Gx^Cd7cdyJK<iq~3F?Swx
z8_aE%ZC)UxE|G00)20y0Ix-V<gahZY<Ev}GEfDV<ujjT&n!?|nKKImiR?PJ6`zR8(
zK=kn?Zq0Nw0g{nCZ_;%pq?=)Ni25>5Y#si@bu8H!JTq@LmsipwHQIV*Ze@;0q3Co@
zbQ{5E-;oSkt2J64bHK3j(k#Io>viXyq!Ada3DxA(t<ZMe*%6}reTFFKd7u2m-w+Ic
zcB>9PS)@UUKDWxvY2u!%9-aLQ18`{-`tVg}j&{Fk`_`f}Q-symXJ0_d078$Gz9gFb
zqE&>5TiZrX5O?;4v00tf2gAIeqOqQFnlM#bY=7Pl;_T-WANYp#K&|)R=@p6Zw8P)c
zjyKGV5!GqC+D_Q%fvywFOX_MrZ6MY=mliTg>|i*zNwr=VghY0g=Dqzyv-Z5;Q=>XU
zJbV^gz@@GWJKyFq*2Q+wNMWprF+$%7y-i1}X9{#c?734+`ldG87Z(pXMuTC3L6ZGd
zskjc@j|o)D_C%WN#VUitSB41oRyii=ENx)ff6{MXSUGK?YKay|8X}T1c2+2fX+wUt
z&9y}qFIxDKtrOTbNa(Uy7nR(i!leN=2IYwoV(CcKzS*ilLQ+O=CP9%3l!E`lRE+9~
z@R8`~r>%p;FFTg7^2&|ABi$c~Hf|!e#@sa*<Q^gt`oGjN00oQ!`@44rzan@_eDtl)
z4H4h%>UMr9)Pj3%(?R72-x8e1)#9flhKcU_tc994ny|_!8rOfNljuzSx<(!wCK7tq
zHG}?Wzz;Ed^XkuC#7jxxH^;txCvN5Q@r-C{K#grp`w!XogdJl<eiP#;v0LEp*J*Ec
zh%Dsf`FP?Zk?=fovfgEk*tuDV9CS|&e2-=-*uMQt1apTs9_}9}C{}+<w@;~pk^3L^
zO0zy9>B`ubquD=+!ei%O9Wqdbh-s?={q}E!-mbCZ42hG3LPPMr>^K!r%dK`l^?ZPs
zX1{h_{OK<O*{@LtdzE3Ll)dq+&JfYyQ+2Z-ZH6dz<lZl<s|@eCu%HWvi4xW%C68aT
z#B{;J<(;WYVBo@kslk7Q=-no<uiJl~V2Igz&vj7|f^@kB8qLRul<TFl-a?B6|8xIP
zIG_ll*H15H82%vKx@$i&P5veln76pDw<^HRIO7GcLlZ=VtzR(n{4%klj^lW)i2|4#
zL~qT1Iz<c|9p$yB{3WV<e`hII$%F8$dYg>$4Dq=&=)m5RRYFj&LgR^sJY>$Wnt7(q
z5*$~1$3?X1K+@4IE1*mcSmuANNXyI<2gIBcIv&x(z7q_kk-BoAbSu!-^!)-cnV1n1
ze}EC<JNiKyWnr0X)BZozzX`j`JQYWEnBjY<e@y8vSvb5-s$_e$O!&?Q@+}y#LNwFp
zXyOktxRG0UuX6n*c7!dx)(B^ZpOdu3ZSiD?Tey~}dTo_(kS?-HnBsu5H$KTFXp({b
z_(gjT6*^#fzi(yvE;k&bHuXq+m4Wy@E|XWw=;6G2s_#-4FYI}7xP$eE3@l#uc7L~@
z5z?mZV>BX2U?FPY9KTlv4nMvZ*{914gF=SQyX^$voKcdAyrK+z|Do(9XwC{#6*+7U
zJA{BwW{IzsK?YvTL}=+mv4g(xYK4BZ2xMKmQo-CW4Rd22vDOP5Q1#>blKP|=u;br=
zxNp)>dMU8F=m9t6d4F<oNR<TFQWp;^W*InE#^d&{n-{*7T|LxdA_GC%=k|u{$w0KS
zQtO42B-niQ0Oi3uGJIIOx|$p-1753@#k;Ho;BHz=x?Y?d$miMD$}h`+pdrs;3u7TL
zigH#`KBNFk21AFRq?4gh%<|jfK@n(M_scqRKnYSE)Ajp~$wFMv?X~hpV&L=Tko5H^
z6&QZ8_pf%S925&yP4E~?f>PmT<Gb~0&^PL?<kKP#XIx{Kn&+g!s@EiL4@ncAEie4!
zKB@@9C0qT{0?6=sTF;=#i~>8)v0vTlp$wPa&7br9D+@nEZD?D=sKEI^F2t-!6&~}i
zb$R5<L;k+rZy$=a;TY+e=C<n^pxW|m?Vf`o47r9B8NAT}s&W|9!2k*byl$O6$D<4b
zZwi}Rx^%(zzrfPlyR<=NhkT_-mkLnh+%$5^^}y8x8kj?LVI}$q`B0J?Sbhw)mD;5b
zY3k>-Ogi)-A;<I39|H}zd!%WVr$`?}D##%+u0~LE*FE4oYQlfIPn#8P>4V?>HbVwB
zQ<$5~)n(`0;BjBx9g^z$5WXpX=G+T&FkRwjmfzsDZQ?ihH`#1(RaH$?aUFpCBVl~H
zLV=7=_8Nh+I^Y>Wb&g%N0A;QCVo?n$ls!%`&8BEWU^8>)l9UyY9ws;+R;L2lz~C}X
zhyrywKXm2!tf9U8_oC?{1*Geg1k_HeLC=&%*v>X<_#W@PBpOeFimSRVO6L^8FyC)T
zVDn~h|DYmqqf-k)eLYQ|N0DK&*MpcjzZp*dtpCr#KohD?>x7IuiGn}9&HIt)&G7fw
z?z9p|bzqSUy6JhG7j}MGox5zm8D^F*y@=e%xx^p3UAyV%!A>eB>dw41{5SA8g|w&y
z%kj$>Z4AB;j9)*c*PXJ4`w*?jdrJW<pHEEW#!l0gPe0Tc7`KA<f#>dymU1v4cS$(u
z7acO$CeHk@vw~=o)+vW+87Lk&JIB7jiZw2hol6faVYj!A=XG~U5Pz$<yjhnEvuvLj
zcyU-lcjMvj>B6Gmb^NdEdL%E_kF$vk1z142l-Xn}pCA;39Gg4!f)6j=AM9@X1kk%@
z?$NXpA2?{9ZLLlrVXgj;X3y;ao09GB?|;n!p~KAKON{(z9^j3;;|aL)_@3<bbIkB2
z$x(-@!;gxEol?}R=Af#baM?9uooEkyHzuabkDApc+U0p>aOTGlm9SkTdR7MaToLBS
zWg(8%=g&<c_|yKnN4(<zPe8E0M4Xy<;rve$Qf>}68_t>l-9qEE(VKR{MB~Wl@DmcA
zG9CLcsBQwi%E?bTUbNG$pGc~@oIpa3|DILmh8V-~>u*CUUVo?6FMDiP_9Ef-%d|Yd
zW+NCsrf5;-F+<zAB+wbWorH%fh=KqqBak}Wn=<)wk+#hxf^Wi-gi&f+gMOVigs(T|
z9d4HVp@kQHTa&dXA=%)Jg7bs{<lS?4#v`>(`)9b@Yv}|D@uGb?^?(7W`=<yLZg{Up
z#M!LI5)$$h@j0u0&<CMs|GfNS7?J0x#gP9W67C%ee#GRg4_~@Puf^<SMt`T^t{N|X
z?Em$IC$~=zGCt&|crdYI-G>SRsZoC1eMYft#77Twjs*|&ZFnW~!GRdg3j+9eM3-Y^
zRTr$AhLa3!H(_O3Ou!cdL2L{XdG<I{7fdgov)3BuKmr)=^sx%zjr@d;^TxW+owqGw
z{Sp_}KYY-1a83xPDZM$DhIOFXrN<{+iwC0|jtZA83FAejz3ZZBIw15dZReRFUhEjz
zVonkf#UjV@uQ_%)a4<-Rce^7Wnh0g4y>=8sQbPWCESC;!Gt@t_Vot&v$4!F&-WSJ;
z^Pl59K5E0K<Gbbz_4)C|_c-<%Nl8o|H-6E5UmH^N)_krS3t+5Y_S2pRQfNQ6BAphm
z4b0+$>UKK>(V+QF*C|yQZ24?T4i3@=?72@@7$}4kbDeZWPBOlJcx12BQEhm1!SG&8
zp)fYGWNGgEL&o>n&bJM`wIQ<ixaxyZ5$x<HUsGF<MX~c^2Q^M<!y(_RH?NwC;U$hH
zeYa&f96h>+!6ic*hQ9?nZo4Cn4LTo-jhGeCKG?Zq<fS$=d5)gU-#B;UnYyk-5k-vk
z_E}(K(}7BDee&00Dg1aM=|qB-5`G(ys+iob17&sd%7Zd8_+g7uYsD62Y?gIvD|)fv
zl^nga`UM%(KV!1+W}gb;-E=Vp(1j&VRae~(GS((<+5Xi_6<@bJ?-JU`Y57srvBC$k
zsHC{Zh3u||FBSJS{dZaqVv3KQ{&iUny$)*1OKeuhHLtJRbq)04p;XS%t3L8bp}wxJ
z<<`JQ`*_b@WH*3DU60-~)(S{lEeJpPSOY^W{=L{UZ2+}*x~@2F+=o}Uv#m)}6Q`qw
z-MmH(foHnKoETKZowc3ht>KzTtZ7fjO&EdSg*!pgIZ7zz(v}hstBDE4+8;{)7{k7{
zob`Ja%DCsgEAMwl&5gOqZT;M)z~A>W@k*yMI+izZiw$a^(4@dwZ&@?Qjq2Ke$4Ujm
zM_xoXt7>4!F6DYgEpt#T{!y%#p@MFAdTjKx)lqJ*WU7WH0XM>2qoiM};Bd!*_{)D)
zaV~AmsgV<)wp*@2phpF7<@;YMOjN<1YM<l_VE}uZUQNBMQ^9SjZ~uF@;gKYXcCo$=
zfFgdcJjT;1$d>m0;VvCTyq7Q&(<@{F7gxL9(nu=k&#*iE)<JokeNwClb{3$d`zn|x
zK^f^)W51`Jmqi=x6t$#{{G2YX=iAh;gvL&9S4!{7pit64+xi&`P-rmW$`esSs)@YE
z`6@}2Fy`_JkF<cr%=GMo#)|mn`?b2?+r+T)fToeFw*|~qaSWJlQ^24i!i$|Oj2yQ{
zAasibuzvnE?X+DUlZfV+a!Ua`Y3|+nQrH4SxQi1jEakAd-l*wzH6QkTYs>Wh2H>7z
zc~rze7Ilp3gi=<xalXiq`{+%8u~C&DztqTh-fCh?lokidy?)(V;s}uGsBl(DK?cJ*
zDsIWLvY}`5yxtTuK)d^jU5l+0Qj%___l7fLd<;YKAs+%R9Hd4ocuL^F@h6`z1T$i$
zbJd}MCi9KCKF%d6V)&{|?`Xj!J$lpR$3;ZV;at6Rb@o>gWC<uZw&Nom@``j1a0Hq`
zt+OVJt&K3YL|#f5lBdJ09F>*y7E=((PWGmD3nJNZDV8y1omQFMy5re~&wl1KCUKk-
zz=uj}T<yo#Y0Cj-56n-QK=-9rEq`tKk%9f=Z_4X++SAm9va<Ka@Rqf^uhfWy74p=w
zXd5~#X&SW+*EfdTBR|G{w(_CSix0PEzR)4#>U`W#wh^e@SK4bF%8MrrWsNyA>Cw0%
zE>w-t2rOcc+?zhbgQpJLJ#Re8fSbwd`4NGJknddD-DJm&&c5S;;wKrARP8T0({BLr
zL7cPBySec4>g#HY4bOg}EfQGdWB>;Y=2Aqja-v>g8Vj^BBW-5et?G7t@RI*Wm%7A(
zhSfS5OJb~e?2JH;o~=IA%<V}DO69;|M!m1}7uoQfr=SwF>%mNE#bTZ-2X1bOCNkMJ
zA(vH%-<+c!d>=6|u-?gmAAS18&lYhYW6PjxK))`?tq*@_^W(rx|4ngBxpU$9+V$lx
zfx1Ay0rEd8Ik3_tTqQ=I2X{M8W&1Mg!bE2`r9he!mwen$iKg@73#LfQ?tC2}7n?sc
zd(4TAA6;d$3;6K*v4Vmg&;dCq(t=YU7goyG(EV*B;ia_qHpG}V?24N9Y<A$r@1q5E
zm!|oV*Z1$W$?MucdnzmX(1i!R7LJ_G)D=YQvf--DTQ~AHW9~|=6)%z#X-5;T31Kz6
zaB(xeHf+~WNc`^?FTOrF++0B~g1MTn<$u4Rf=768BzqYjb}i<cI$jmUY~K1;kx5jz
zn7dQ%Q#1)j3BxBhDB}2Q%D|A@lL~I%Gb5UP`LS^(pK^R!0)_T^S)C)O@b1TnJ8nJ#
zc<WK>^Vn7?{QCQ1<5MLn^lXrl##uppVsb?-!(9fyT%a(ti&Nod8~a3Ui4dm!Jg+S2
zO~$NWR<)lcs37jYef{vHF#09-Z=XCPi%s_&vJ^IW)I?BibNCifRI!^M*3aMQms4i7
zJhoJji!3l)s1?I@?k~NS?ee%JJfF)QNrk?z4OUqofuBzKxkfN4;(=)WrzH(kNHJ&2
zs_U0TSqU0##X<?Y(lj&z1+*bnr+H2(O&VvW?rF7NP{vKwLh>W$wc%fkZWl+H41V@#
zWXNbz!7C3h(uXtYfbj7HL1(kc7+tkbjqjf-z8dj}ciz~q;X_8xnnYP-do}X%ld?K$
z>+ruhvPTzu$e4TXq8x@YKj(|J(7>qu*JWAd^}uRbMOgftJo2=Bd-B*!6SX`Fk1lcO
zLwgr*r~XL=JV#5Zv=Pw4Y=v9>(wqixMrZKjq>myN#4%6Zf2xJ~6YnQ{Wep*NF}Cr|
zZY9);k3K6WNI{d6&ENBEjUXx}XzZuDGV+x=dR|kbps(>w=^Zh~Q0n5H#yPKytG1)<
zW|9;X$rC^Q>V*jiX52o|k*9+7Z~Kov?9js2&%Y^KSj@n>$6jJgLlqAw8xSveweU`b
z@Ofz~bGUU%Q!_AA6^j<T)#T|l@#SnOMKPEFzdiE}8eddVvh=m|)NOTCa$Af@*$mM9
zE8x@coGM<|e3P+Cr-lp1_p55X0PtaS;Ys|eipBRPHH+j_Ffn)kl^dEC5c_RQX=1i2
zPAZEt{S{ThkebsmS{E(A`E;}TYgJV&&HvW$WnLaR_En}hwOGJ2WybpSWEC7}k#_HV
zE{m7+p1ySZWdYTu9CRh`lrhsg{J`LK8MJM1yp=;|2@^J5{%w;=IK?#q<XH)9@GhRR
z+VG=1H}&TkQ;I0<pMQhAEP|Wg>t`5`T0jIVu}%Gx0#>B#mQA-8#E5O>kNX=epyQD3
z-gi~<_&L4M)Q^dTYn$|xKEzo-iQj^FNsJucrk`GTZo-YlhxeFwT3Nuk(hzd2gDfUJ
z8`*ZilpP~4{rr1m31E*Pz0oZxGEz%cL)%$4^36s@VCgmh%Rdzc{t;;$KeuV*M>0Jo
z$*h%U+5!j`KOZ#Am&8b}v<C+=S80MHm;Z<j5WuqM*|D#o;<)9u($}S(E3}kz)oE80
z2uOJORt}GeV%QriGB5czO<Z(5pv}h|I%C91JEDZq&H0fx^Urx2;dwVCqs$Bnme=Q=
zKNiHZza2&2#?8_Et=;ut(G;@j<y>7z0=O+NMwRvBER9EWO0U}76le@L*G}9ZVH+t+
zp}b+1wuE-|xmQf!)n3t84Q6~e<jXL5h&)FNQxnql=`)6{pHhdsH}T@5I|ZwLlXEof
zB++jNsK)TgviWo10vDRuu(&_wT%etdN=m$Q*$Cn*UAFHL=EOHf8Ahi<7HPA2mW#W_
z4Pk)nWuh9f3H2XbKf^4zL=(|>tnuG&2><Twkn$5{N3N8xGv4FNv`*3F+e;M&Fu>%z
z_3A7uvJ!t<M92Qn%)mcuLfimG$3nIVt+QYl|IEH}&Q;pw0X0kOEBe5h@t)zCISW!R
zl7_B3uhX2SOL$k;^q?{4+h)Iq%xLESEoW$u4lNUJmhqp|17(3%>n=9T_$s0}V23IL
z`aX8$PMFsP9rLCK>|D&)Tr)=9evuJJJuhtb4AljVH#TpaSD28x`EIH30u$aoGHzG0
zq5~4A`Iv$^m~p?LKd0v@7QCLi|EYhB4s?o-`i)vJqvMvxPPzhYxNC3Ll@>l7IK0>t
zoSDOnyMB2em~3UoN3CLi+V5;|KG3%`3$x(Wq}H#Ln;baD(G^>2stxY;y*_KzEErm4
zzcil6g?9XAg2|t$K(V*jsUFUX+(wD_bqje=(pt!^Y9m)y58ZW%b74c*&R4D48+{V`
zi+p6C92F9tSn#ACV8^QCnYn+ZN!X*-@BO)x0%@J~ucYEOAwyY(n3Xp_I(=FgNROq!
z4Y_?*7Tp|}d+%u4&}#uaw2DJ)1O*PCx*fN33m1lD)wtDK38DIg*z>1!6gU>uedqlE
zH}1Zgk($*jj5`>1jTEP8!OZ3a9=qMVxS}8};&4qAyUh80WR0|-v|m^gxAEZvnX|*^
zy~J@OwW9L&j3&&Q)VyokOG1s3A9&M65>E-aZBuX1gcHMBp5bRU{4nFl`IbOwEPb_1
zW-ZVJle-f^ZBGR-B~jw(haMT!IoRg>?v^H`Oo|25_=WIjYEOm%qbvr0^A8BE(}Z2$
z&iHG^31jcUyDDWHT**F=&2PG(2}Xs9>@WC5@sQ2OV2@OJWbocJNZYLi$(l1;dY_45
z)u8X*o*4yP9W)3X`J@Hk*{32;L`!V=;nniS{Ysc3K4g7tGX*5u<f(rTN#TdOM|DFR
zd6u?G+04C$0?wItCdnEy7<aa0a==CvJ!3BMoVK7sAQ2RJOOK3aeONDYJy*jr@vtk8
z#;Fi6z*XpDBZ~@*Vf}Vg4fJhb8-4Xq8}1g=UUm1{=+{oId#lNsC<+m7D=9j#^797e
zL5w_Z5y>A~d9Q`IgY{+a4P7`$vZXz`tANWt3hui_P*B_Bz5r+4#=i)^ILF(fhz~Uq
zl^kX$=$@e|v9O{KQdLC!<vt}$jC;>(xrK^>R>nPN_85Z1A9f?9QDvk$Kj5nlqhfib
zkk#-@BRCu<u3`U01xbyURvS-IQ6rO@p1RcpXu69}nW|OsaJZvI=5{KYeYDLoerF0q
zb<MoaaW%BunUqEyr(k-abw0b3IoNBlatr-Y!;=)Kdg?&IqseUB<=+tSKL7v#|Njh^
zhd<VR6oze?nc0uMd4|VczvDrPP%;~@naq@AuaH8vik1>dg-BNA_eIERkU~jRNGY3)
zy#9pqIp^H>buDP>Y~FTOLu-?oH~Bb8$ft7;>0Tbdd_K5uC8#0#&Xm2rBI*dLFZz#D
zOyF#0c--$ZYAE?RnxFfif|Bw_dlKqRVES&Pg%DW{{r90}F5-|9N_<ilGayF;DeKk}
zYPBi~Tq|yTTq}<{nuJkg2o3IijO63qQbB9vVOlVwEL!2M)=RrfgB0qawS!_R=<1rP
z)qtZE(zB+}<vgW9xV0D^jY}Dw?7Q#lkRpcU=$`esKB0l4r&EsBCq)#zr})<C#$Cwg
z+rxzB%QVp7{=7-aQa}lh|F$W)@S)9j%v*|{G$>x;mN`z5N2<TP>g#@RB4t~}!?pw(
zw0OD3w{^%Oh30kPOl1}{Lubh~*KGn0|0K?r9+E+QX>IYg!E|W8d28-`kO}lj4z}dZ
zN})pAwDjrV75sY6)n`haCJ<S6ca%hsM1LPRJ-S`}2hR<#zZF;vuo_bk5OPKwwGd2$
zOZ&d!P7l*+Pw4~n*GiSF&WNDowfy}jn+EXqD|OzLg&6!^3~2jsQ3&O5ERDWzYQ~3u
zEf6ZZjbZ<}f}BtXK?I(X6YInv-0v$3Q{kEs{1RRbY1+$=Qgo!I?BX6{?iTUn2kJ&3
z{Qft7*pC-Mj%iKT#b=mAmAZY_F+)hM-s!y*xD$ODZ8RT^e1<81i8x+gWB~PgUz6yL
za-xl#szfVzf|X@19kctc4>{frpCfLvq0bo$^}I~CvGVep{KwSwq0r0cC56a}K0Rue
zrt7_hud~{ljYR5!NAPa{U{+>Cj4~p;_k4!8J}Nqx->VDAnM1@#o)Mi)>rR%n>BOhJ
zlv4cVb>V!*u7aopdgN!c?@h?nKAhPzSxh-W2Tm5>d!ZmohjR8AG~anQh*#B91Mhs*
zhU=2??>b&>;`_A>i~?X3e<^LjSh-gl{9f;RquITVD?2!`s!xsM(L~p4vNc-J(`r(|
zEWL&&kRO^qGM>QyI46~VlF<UcrU817m#er1AFIR1q96F1rmmcZOPZh=5_z23xPtHg
z>E$seID@y?tcKs<)P(3gmwQxZm+=%w>e*=PS^T<#E*5m23Xv+UKatlm-pfqitR*&&
z5B$7jBf>%jlV7^_RQ_e0Jw>a1ZFvE2unCDwxu5|lGF^gkD@%CNuxEtqw<Wx$;^pik
zZVkAC!?FwaGR|S0+Y&ahf^WoZ87JjaAk3d}QpI5z_j@>;Cd;sf-!OP}VqKmB37r|1
z3|-5(>S$wZrNIW?F?`&JuZ|3EVk2QW{wuim09Lno<sTj+=Nk0ViVT9)*L#)pR&o7S
z#?NvYbV$eQ(s{F&BybV5$}H9Ri`T^arwdNfqmArpemgo6yqhCb$2+g#HuSgIdtDe&
zW*%zzfDvKKYj;J}gLOPHEMYS82NT+>{X>ZUygGbgNOD2yo4B%1P~Eu#7W8zj$eZoG
z8W2UFHrIdohd+z&>B$J(foAvX5{%W=fS}pFa><hp6^Kvvp7CWzIi|Bx4C$)ynle-)
z6ikmsu^&$lXLF+Us)E?JODdpqMDSL{4F-gNx%sE~2R9nLxjAL-qXI{0DN24*jA-6_
zsV@2{4{CH$S`hoL49~s>k*?b_BO~s_Kxs)nwB#VCqZg<QH)>7m2EVZ&(b+Gj4i@pF
zcj{cRkLi`6Zh&=U@!Ae#=t;|H+9QarivGtmbVmtFPdSz{#jqoLEgoG-J|X0sUj19o
zK?zcw34%^(oT$p{kc2jq2$IvCT&WgPf@Np+he2K3NXfNZw^m9FslcLj#Ec@mvdG-~
z?<NllQXL;u^^-tn^!J@s98!epMk3R<MPBqpTK4hqxFm`-(&_3NQG`Ng;-|Mh{3x~l
zv!}&wY2-0`N@?z&BFq$0h3;+$pic$IUuxCJAcjz`fG3~?>rW;nrK@)#`4P+GyA9;f
zK%-t<XQ>kWus_V$lPZk3^mNre56hz-`T4jgJ!JrER<94|MN!t1JEtPE6_F*y;C=PF
zGT7*ErOlOzBb!Rcu)rhA=zIz9&o7HA@OHmQ5Z@dD6%r0tX6mS-Vygq2qpE6vd`1EZ
z6;kNL{ks`I#MM!pNP>SusXFX)I~IO*Q5wmf<q0~>L_$U;#ti#{Nbu3D_2Di{S=8n*
znRxdU8NE70h&lFx3}w%=BI+K<p-=yL$Lcv!(Crr*EEhH?5E{bV5HF~JQkD;!jw)&(
z9wKjvt2-6m+R2xY5){$F|17yIMl?{&*0sFb^P13LZFougrxG$r&6SZ0pd!W<naH7X
zZAd%R8ol2_1&wBs14=uosPo#-^W*8dK*;tL3CdDMcZz>U*!-j-{_&CExKw?xw;A11
zZ%{*8#)*PoI;hA|t}B6@ZwPfnUcbsZbrjS@J$%`jiaHYe1%2)rL-4?5TjjGv6!kTF
zXwOv*^f6PLQOp6r)vdwwAqNS4{ASN^D1(AF_8+gUGvDq_lJT*18xk5yu}?HHAfrlF
ztpy1Q8oba_6?HKup##qwx0;>RQRiE47vFvw1a$CRQu;+i#)P+tKI6*hT9EwRbPrR|
z#+`5PF(V=qAZI++Q9#1uA8yRHn?fz`PmP^+>WHUpO1CanW_zEx=9OEfu*Pd@^jBOB
zh5PL@$*7e;4ZcfmiQH!JAD{ZnT7?RlOVmv~Gq?*SN>V-SS4^Q`$f&o1Um4AE9Qn2{
zhX<|X^Co8DrqDIdlo8~lh?2xA?Ic-PP>+Ak(cnN+Xq7qr{A{v3`muFnL1AhY4{d6)
zvu8C0uFlCSkB748a&Eiw^Numx_SDK{rCb_tJUSe2(JzfGOYC-#Gv8o|stxUuyJ)aP
zZ^JmiD22Kx3d%O0e_>IU<F(OwCh&UXj>}AnIFdY`7kR^W8H*jxWKZWc0j|P^@Q*qo
zh=qUl=b*#}Ht^~Z^=T$Rn3RL*d*NN^{=F-anj&;?#zEm@1rI=r;Z?R+3O~A$6nfj|
zBt1CPGT#5Lf<Yox&Ql_Z2Muth`r7C-fJW6r7A+%V_%aqrAjxo|pcV14%_|IWv`9&*
z-Ps5tKYO?pRj?vXJp$j;5(Xf&3vAwqF$BXe6H*dojEK41p+qT)0VMYO%!fWOfatko
z>r@UpBtEmbvqF^tUVWPE{W7)<1P>!faX0?r(+qQY%kA{w<gQO~lF|pUdgYqIfdzau
zdB1O%3q9B-V%7V-^*}%{NWRT=2G66P5S{-;2R5T2E*6h<;c?L;$4u>Sc=$w@%*+Kk
zNOLF<Y-P~}!=*X_2B|@OTGky&Qt4pNPX%u~Hy!B8*;pFTY{h*%f<teOZeg+97Sv0)
zHh5{Z?f*P~9}9`;c(ONX3zMCDa6v~-8#a-F?gqmvjI-b}-&^M`tUE8}@m#tVe51|W
z^GX=P&fJcCalvg1Q(m|xdVWI_{thY_+g}*NQuP;wMsI9k(G$1W+JZEJokucI;MaHT
z?u#>(j%;*bIT?_Bc9IIXqbT79-844c9dN+VjSi&5XS1(*Qel4dN6P8J87%+#Jn7&&
zIyk8>va<M9142WK2(~S=m^Xb==|OLLXk_Y9i}uj~yIn$=$5ZDq)0K<#TtW;`wcy(&
zJx2j|j)sa3t3^yWUhKr_Ne1|o`!{4Hh5~Uux9GIFmNDJk*Q_24GQttAy5)!56nK!Y
z!^%6bf>C4TXnenzfZoX?E$<E)&M{~7dX@dfjALJ2+bzoiS`Y5I7aEd5hT2iQmAQ^3
z#FLfO<5}UfPwidwm;_l2;gjbwHnE-jQlFQY*x=89W|iNUiSYBQ)~%%bTbNwHhMi;$
zJN&u%?)WN=2qNljk<E+S`*RGWkI3Q#kpmT9UGmkzEu52(qQn5>xl}#58{9Bhy>5DL
zMGZWMH%w2QW`yqz$+ev)c%bX>uPJ_aHOMOb*y=pU1aU{xYFh8}!X24BkCp*dDEsiB
z!r~AM6cn_6OJd@OkkJV3P)AkB$f`JZXoD4&778XPu>vqjSWh?mrUF}jb#tA~Y;fkL
zjp`23U9gMU=yOE83V4+r&z~>nfa2oe?t{ZZ;Qop!w@6I|4$}lL+PvU`gzy8Hd$S1K
z9e+@tH?0g0?>-yQW#WP8s-rEwZ^b}Qe<3aMnKC?xw@RbKcwtSVX={5#$Vxl)WTaRb
z=Figl?eh3Qb)TxNyuK8iGCkW?eODRk<vlnym<2$$(XO29oHPU^yv4lQltG}gsHFOm
zAQ-RwaMzoZfn>Hl@}HPg;MktQKqhk`n0T_k*56GI?2^WOQ+-unrrU4YNKgb+KUcng
z`bQqx6aop}t18fQ%(lgnRSZ^{a!p)w6+v#+&T^tw75blZ5HiFhz@%nJn!klIh|=J~
z@B3;X^roL&eLxaM`bkMy?5bdLRyFzlusUdARTet$q`>~po%g-{YH;1@M5En45)eWX
z=8L#xV5Eo_DPJeTE=v`u=>#&k?rJ_laFm4_^Cv6~YGf$98>Fn7OaVi)rHb}aInWiv
zEmOD1(DagFuBS=^?tb9QtlW}^e>Zj=<-sYCn6SKAz@iEI8zX9M&Wf-rFx9`+Ljwvw
zehwH&)B>k2F21J^mEc@SZ;8X0#`gUkXl_-|fhT?n|Lt5<1}8}a4-$n6rPGC4M$@{$
zZMTu3qM!;7(|0RM@1???do6UX?fMY=N^`bIPYu4G4OTLjroz6ftd3_M8G`Mxxx1xu
z>d@|<9kcOR12(@si`Kbj49@FyZP_F0AZv7P?fX9ph~8}Ie{8Uw&)x?1Ifscr?pjK_
z%}4=K!x~+Hs0pZ^q>2VyAwp*^XOVjr3GBi)dPc`gfEHR1B7Knvm&107-Y!>za*n)N
z;WQe^zp_}1(jkJofM-HX<Tl?}ExJADF@>Sc=sCx$>L5Wn@R>nK0hESTi!*~vA+P#*
z(am}__+=GWfQn_Hm@YJ`?5-)ON$ZC*7N|l>ccQ4{c>;8&e_T6WX9}h4M43P{6;ONM
zyYDMO7?}9i9`lx%LW#yKr&*g42yoZCI~wr8^y48b>kw1uBys$Cpr8l=k~(7yi)_%P
zGZT7F#T1%-dn;a^mWLLb9#PQ&I`}awm*CJ#0~t)FU8+tNTn+a}+R^4Qp6;U~ydE?V
zl?h@~T9by0xz1~;?(ea6CrkFw8520ZRDXBLObT`xGUU37_u<+SE&Ac7O&}seVcgVE
z0vN4)&xbTm;l<`nwT3GIUylEZN)Z%=f}4G|VJ7o<tHDlVsVIO^%OR?egb*yo3>fx@
zE#rzu0zKZ)0R(6+lr%XBz>(*f4YIa>@qsJ8iSPI@_>L#3%f93V?;boNmvbFw=<C(f
zR5gac;h%<@pSfYjx*RcWW*v{~+g*Lq$_N5A0*><JvqMkynFLA24O~xE;lPX2hQRnd
z!sSFG3)t_LIYOFP$4$L>u89^K0O3!@D;hAuUU$pU-?r=cNHOL>{G<=lcMe_il%?Cw
zAr{~Agf*OhW5=mNF@4Z%ugd@0u!h0or5!bw|KcX6cG4I;^q_6*cg)f5B@7B56BG(p
z@#ueEaX%__VQ@EZU`)UqmaQgU^8Wq`zBIJ&_%C{0i0`hw7%1@*`(w@imA!2lZ)=a0
zy?;mtv~%~L_`2sCrmQ$%t+>2|8>?E|cGqh|&NQ3odgLc8U+U~%bF(EJH^=ufh-*Ut
zch<)*oo_KK-czA<j~8(Vx6N1VNm_7SUOcVzD#FAMI=l|rvxr}-lO>hSY69KfJM>Q^
zJ#q8Ov}f-0i+IDVz>zX{P3SWtXGeW)!e3vg#k$59@Nv7P`H}Zj;HV{wni6{PR+XsN
zCw?v9FCFBZB==K+Hk4)K+VyU`xg|y45EgN+3&GQty&B;0(aiYwg<*W{(r&$jk&C#s
z@r&a$8x0tJThHM$F^YfY6QJ|lTEzR$9CZKLM*$V5Qn9s|aeOn~?PF@i5<V%OJw`lC
zfkTxwT9&ilaLzwNX%{an<D9gIYJVrlQ29|PvEF_X=MDe*?o`GK{-U7ZmR=|sY>pM^
z^F8^2e;K{Vd#!mDpS#dgHNJxkr3Q>f38KI7AWP1uZrL?FD`S!6oe>Gb%sw2eN&k({
zdR2B(>(+6LL6Ua%Ng})s-&qrtHj5vkylsez-NeQ7&$up^se=*Qn=8c8IlSg*)L2*a
z7XIt9IFWf;4T4U#PW>`pz@1z~^QMOBQ08;Dl9yyPn4E9Qe$={%SAP(^IJt`fS*rd?
zbc|JnTP@3}XOAr7Dy+qPuR|D-$MsKZZ~9bV`W;tTqQELnW>G$KWQ7SaK0DUtLsWtE
z`72KuX8+=QGA(c3zRiLjG>%reW-CK^>=V(m3+uSSla#3)VLOo3!}FCK8%mIWPq(XC
z_8)%VKRn(!iXE+5dxj66P=XQvuBd4m9pW+HqI*)!iG~#T<{hRLVg34)Wp*Y#(v?$v
zQzX3;QSF7jl!FwZM`FK3;~E31{}9`iFu{X7tuB-({!@UW(5(-#=b2FDi@8(WNBIyZ
zYn-=Tz5+~HDSf2qv7o|t+L6X9{OGmUr^az(1$Y%xOmO4hfu5|>P1Ds2qQt>2wu1}u
z;MbI$`c{M;*~VI=94!(;q(J>RzdCu?dq-p}c|Rwb3^2Lx-5`Qi=H75yrprS_dA3u{
zQ*PAu<_}GlP8{uiXT22}CJ(1+Pd<ID<UytEIkqPw2q^2$bkDzVd1&{1W0NGshrAk}
zC;ZHnLLrhO^RAcVA))StKTkD3YC9Ev=01xIYRgRMXn7+KmaK%6<=%qmDVi`zxg?8t
zq<+gTkrcpBJfg)Ngpj~RJShR>QKyq$X=J?u4ClZ2JOd)AMkeX&Qx-*JKTo-tb5aqK
zrTL5Q_==&2Ult9FCX`Uhw&YS>mEb^D7ic_{KpFn~W(q#4AgSk>eG6&Iz;)tEZMCQr
z8rd(CoIa+8@`dx5zx-1Hd$$UIe}8Edb;M^TbC!r))FDO*sey!Lg7)55GKj79>|M<`
zGNL)(FDd&#gg8f|sShBB=2}`tf5cMImI~J!!d)_mE)H0o#^uqLFKJ3LNCWBJR(|8l
zs{zwKCKvh56;Yb4lFBc0Dq;yqth-x5g>Sq04$5{bAyqvShQ$>s5+PXa%#YRrg9^*%
zzI#>BDUDF&@o-J_L}fETHcSUNVzk@@YE{vz8WnG~XPW4u$#3i0%X-i!ND}+atd64H
z4ZYNAH4*DpQ{dOv24Jl{BhjlyMDJzO<fD&jqLCM#jh_6*kfqvXZAc)YsHn<4CmvE!
zhIYO90Y!igxrh%guSlppA<EXHNCQnMbI+dEHi1aXv37qEGU^B`pT28GK~ZgEk?CqQ
z=%*x{{3lIDWNT7~sSydqD!zR_vqb~%g-Vr#O%mF}oOM(=K^0LBPWZpMXA1e3==vpG
zN$6i&*Abqxiby%HFH&2^3>15Elu84LXfrC9XzneG2tJM}NBqoS@3p*>?ds|XYoapm
zZ6Kg6w;{{A1T%PKZY2-psz`E{;JC#ngk<)ZpNt7I11Ed#$LlM~s7)Jw#`16b>`2e(
z7i}~6B7C0oM@$J_8?r01Yhgr#Z0L@{7gP8{Z4wh!R6rj&(qib1=JAbUTj&lpg__;O
zv_b_r1ph4yUeUaTH}Cy5)xSi8<y_<A`U)~gm%Ed#>fukUrvIz!;UF4ZkB!>jNs>aw
z45u@Ah5lmpPqBQLZzd3``oZ7xvN&q>4`B=1F5cEp-CWn4O~B1Ip7wG>7~OC|Exf-O
z;Y!K*s=-$P(U*QLGhP!!A#$Y~n!+sL?=IRsW&zNC%ZO7gln?E9R_`^5V}+c6g~0qw
z3??XHb@tmi(s^zD*iD-qkm?)cwmaV#$W5~C@dIqgvi-o;%7YzXYZ#Uw_0R|eIu_@d
zSeQ{@*1>E_-41Y~L&AT%3}Kp6`g3YI9pVtljjm7K0gx77V83Vp$)f3FvnhXZA;X?n
z9>X1gzh-aBP&9xxhmByt3-h=%fqgyn6YDnL_wz1#>Vt=|>5|3yDZIM3#w;a*6%J6;
zGyCr8f!&AdZ-w`Uarasi(Qye@7$xnzmAIq}oD<cXM{^o+k`)E+y=8&41xnbdy}ID&
z&JleltsS$dKtmkYSRg@?W+hUr108H;BH~9rVtcONvaXJ00g?QB*EpDUfRE7mTzvK$
zc1tq7o;RKal>ZhT{OPX^#q7<)To-;~yeGsHpWkKy&)5C`1q^C|aoWvtx6WD2FY(#e
zlJ6|=XYVMFouw9#f8F{Jduah1lQ_b^&zco{hbnFaHfw@fN8%-<xs2Ib`+xd1#0tE=
zBkk9XG@(jlg_u>nin%Sk-zvJe1L(xr`(8FtL1=TLFjQn6<E1t>CU~>Ko<NPa-_5A-
zlBsW<a(WZ9wOT$`>BA26r`ECg*BWrBFw3d;<rda6d~r1(j{{`(7A`HjYQSD8z8gn)
z>EWotYO?B2PSEeA^J872fcZ<9IAz8F*M&15W}o1Ocf{a*v`h*-9se!hbCwaV8ub1F
zo^4Ou7wX?fq`=3;0>$^;Odzu?+>$}h3-+w-Gk^NY;67%0Lqm}T$`f}5dvNkWpzGks
zSS%TsqF(uYy37iso09bG8vJnoUk@7{nGBxJ0XZ@RHVE`FUYa>A0IelDr~O`&;O*w7
zr6pnqH=RF=Y5jr_c4R%A(V7GSJa?3H<2gZ-dFAH`J0Y<CdNO}whzR9#{04d+-0-?P
zOHFQG7<72Aooxyug6K6(eSJ+Hh;&#RR;v+(ck)+wW)+FBM*R_|Z^a7-dCa<|3&dgR
zM`?b{FLj7k{rIUoj1M~b0=v!^6QG3m2;AyWhbzKPJA|I{Lsmz*jK7~0w34IOzdcol
z0Ut}1@m+$@q8-1QcS#y-HW<P+denjM+V^tji@V^#NOyT|zYLtnonY@>R|hgYl+6|w
z2KJz$8!u$#;J(|YwUZ4I22R|{JoHio2rX*IW|HKg#Op;>ZwC>^&P655WQhT9s&xVX
zk^+3YJ=GBzKmxw=Qw0O3B_L#apwRY|5}4i)d~s5W3}gfT{)S*laHu@3b$v-0csS&V
zy~SiOo%4EfyG;r_$MMLLXjPcKWBokSoB|7y`nJI%(!djzBz=8L4MJJdueLC0fKONz
zHuFygm=jS5e<%_D)qZ=&^-TlJH5gZ-73JXc;RjX=10?7OR7s5fMuo%Wco#Y-4-HjU
zGG3%?`{wjXdmR=nNFRFL9u=nmlN?np<2)2t3W;Rawa^A*@1lhC5=A)p<F1io1O;-4
zvc?;wI#3_C(DoNsf*)mMI<{vNIH|4DXCkc!+>*w9j4!vjNxFK<belVWuJK<UD%Xd4
zujD=MwJNZ~XE*Grr9ghR%0QvHAtb*sy_lS+3X5_>J%2nYAa^Ud=-y`|P|^>!;!sk9
zH=QALPD5n4!hS2QED(cxPH4CE4K)Z4V0m{?hz!n#go6F20m?NyB=|?vz*r()DZ!Ko
zAEf8w1_>sx#@syq?5i65Im&Z;;-4z8>AdCNQDXvEe>dIyU7-ddT@QN7PAdba-l4~l
zL>g$ZzR<XDtOk#R?3G-%`GY>&PeOUyLv?8M2^yDF!Laj>Y4~?pIL{w!d+Q|)4)pGR
zKD9lU|AXM0di>JxHW+-^CTSpM@yK_hOc`D(;Ntfy#o=sOOFrWi4gM{#o%(x52_inU
z84RZh!PVlo?JnD9beM&|%v4qpngoVN4u0SR+>f3A&J7wgOeYIxHOj;F;&AHiy<D*I
zNvH3#3k^mqm?Zto<lyN+brF1>8D`3x#6?+Yz;ejv!mF1uu=wa~lylY=mV38spHi6#
zgylVI9<z}KEq;MUWVwXpd0M#zo0<T_Qp0RwgCwK`4q0b0Ok)+5z9pXq0St6ih~IyU
zgH-Q}vmzYB*mPe2C+-grr5+*OU@i(%Y>F4I$2VZq$E@b>*D>(xd_sHHDg+5GMnk=k
zIKJQVit!m~4AcuR6m$j%f*(hh?5*^-_+g$nS2Igv5TGb3ikkAn@tL|+>xd6Hm;U3}
z)G#9;NY7+n*ux8(&vaPFT!wM|CbAyyeM7MEE~_tH;D+ioy}gBRhVcU;=Q7R54WP-&
z!Ru)i2i$2re<Az$5dKPP^0S@Pwr`3yq`YX`0hr@Clao2`@tsL;)pfn}q2saZg#)TA
zkY%0N;PR*sKit;6f3RE+20kw(JC87e?lVUJaj_oUk$<6rc~cjDAJ}{n`JNtjhu^HX
zc-@R={g)S)dO#NxHm6MVdFdcvqW6Zq>jPXTwaA9}KnJ9G&&*r!Y+_A&Vu~jPiZB*9
z7S+I}1LDt4rhWBa!-PNGu8G=(Frw{uvy}jCP$>8&qp!M(-PfLaG1u6Q@n!BDtbL~i
zQacW*O_?oYLz@2v&R6zhVa(Qb-LU<q0pxMhM~m31fS0*Q%n%ltdjBa`l_sodvpe}6
zTfqJY0096043~E})qfPn&1>(Gy<Pjd*UtJL*GeVIk3y7CD%rA<l29bFN?DPLgvcoQ
zek2Kz6eSXhD0`3a^Z)00&hvTB`<(N7{Vo{J0*fCQU&x1nBl23%tECcU<}#0ERJTv=
zjT^zzZEg)FW^2M<=HZ#xlsW9`RhCW6XB1m&v0Y6R)`T{P_}0>YvzYWF|C5J~j$`Ef
z+tJt^4S-+YwwCV9Vm@i4#(IapSgPBFXE($&;L*I}{C}RaSoE`jM<MRhSV4KhN%sN@
zXuhc@`#R5JcBiIUlHSZ>N&SbJ%G4;ZoYMCzDQp&79Y~!%b!r~VTDQI6_L2;`M}J0U
zy_&^J3kQP4B^EK<#X;L=KN%|3?0>Qm=dj`|hUUh}B}}Ng{8mPzIw<#4hmBXvVH`0B
zf**ZZ!G<=%?SIaaVBdP1!i(ec*!$INtJ6Q%FlM7$qc4agaO3|QaZO_Z^Rw({ALIXr
zxrI+9h`FnQUCMoiK7~cBcE(=*kpC98D@gGXSCJ}sc36+*n=E0iOg$~)Q8eIZR5epL
zqXNhA>7s*|m$A<!S3=u{Xo2z1<E0f$1swK`8nuqEV84^A^oEYp!$aExOq5JzxTzzc
z;}X7xH8?%H(m}@vS<Q^zaZ5@Ndo^~ZS8oGzplXbpwh>@A$zR0GSqYZ&|GYo1u!+$p
z4@MZhWQO0x6)SJvDMHmeuDoKkjnQVhHq(A%h5pNj>Mj{8g7dDe1<P(4=*~L&Oi6_U
zlFYWRvb|D(?7kq;O>sK7|5A<pekB(y-g+G*X08A(bPmcduG7Q7v)nKChCD!aujWYm
zLWJD6Lx)a?GD3rkp2Z~23#=i=b60|i5PP_>S^N_LG!~BtMxWw`!wVYix>7`_D|`^=
z_?#J@T3%q3)e!{0_r6tFpFHSJ@4naE%nCMH*E^<2LcnX!E`H&@JospYG}$t9z)TTq
zHod(F>^h=krE*ao2K!syOI_vy)?4>1{7S^2V&awcs*gNmXC0F;72yHNGnF(f+LCZz
zC1F2Xs63G8FZKqd^1@Q~uN#u<QqX-*_>@StJbaN02tGpM2k)>yAN_-6Kx11rBz#03
zR(b`i*{1~HFyT3Ml3fmd=NU1Otcl=u-ZU@z<1V;-?#pL;Bo6|adn9K^h|rKGd*AuH
zFg$yF;6!4Q0to2kywELHfRR(3Nw0XsfM~}2UN=|?L@BBbq+&(b`uVk6#8(1%jWZAV
z`l$dOXBw07M+u1XmtLO_mja=?cO~q?)nNQa-kX#_75J>1>h`Ql8s5z?O5|Qw2R<je
z>wB%$fTZP_7p*4?@m-WCsdh4)+B{}(CQ2Phx?3_*WpWT`p?L373k9$lVP7?73XpDC
zj9wuVA&+ovcS(f?@R8005TiAq^Kzq)c8vmrnwO13lqM7$am}G4X#t<?>(lavO5pSU
zP*;MS7UZt)d-$3~2dH0O2Ip2Q!=r-46Kv^Pz>$=;dW2gKtau)G9}`oBpp=yMLvOUe
z_E)&8$Zmbe_u_Ntb5jHUBv~K5hgxvOVt+tjh#>?*XKhtD3DhH`O+Z@<_S&VYbG|f&
z1izM#*PYaXdwt~_&lydie4D5>4+SVY&HMYqk~)l?JCRXkp#iDdc4<DBO~AT|#noGy
z48rE??bL2Ei~@U1nhzBed?yHJ#mV3h$fi}ONrE?C&!a<iOd&hM+BW-}I)n*Wj!w8L
z!#CS89<FXv$cb057nW5A&hpvDVOt`YXA0Yy7@0vNXM4pyVG=Bl)Tb|L%fN*(DIJp#
zGgweRyD-qK3X8IiwU2zo;D(^~*%Q%bP=0W{*hWhQl%F+`Ef)Aeq@j}-?`{TL#zVpD
z{z@?9RFh-izz*ANRzw?VGtlJrHdshh*vXlJTazyhbk<j1lxs4D53=_6cv9sdW_aqn
zxzPkRU;U0f$kr4XL!)(NQ)EFE=pq9AyYSoWtgNhERB+gO=;wM%8dfQe9%o|b@Bo$e
zv<gcq<Z#{jqyUn@;7d@HT-d<N_qrFb)ti7L>$sEZ6;U|teCd+jPg-Owx<59BYy$OG
zSN5c@?t<%H4`OSp7!b+BKc(^^K*P5WW=|gS!?&ZIBgA|H8nEfxV3Y-js=Z%dk;Vgg
zXXO$KzAz!)V43eD78tx}*~8Wt%>kuSI<{MvnNh9F0!`x~V;Bn|rT=hZ2K$*k*Y(~o
zqgH`Q`Hs^@uzk6?T;M4^{4pr6$*gBaLSr9`UnLlVn2r6BiODVOL!4?CXACo9beOkc
zsx^S;yJ|KUkE~!-R_gMfNzAAxS-X5|N*`9_+LbJC&SKuN)d@@;Ovpg_!{W56K3Ei8
z43F6Oh1u9Vwmf{62~8|0?Nbce4NZrL%Z8Spu|cL+J$Lw+P*t+I6LXUu09~I$YkVSR
z{POF&!yN>)-}A(cEg?N96?=W=R#+GAN-~u+%ON1?A6VXvU|pzEDA@F88^Z7GrrH!-
zCm<cqPvQH%>Of|vh^vLjZ`}R5tmXZ50-}mUhz)@b<cMZGE{>bRId58X<~9<Lqwp_b
zhB9q<Hn!)<Ld_gr60`EzgPREznupOx$!No^AU#s%`9*v`@0Nzk6($r@nLi<aR}1Kj
zE6;spTfy}i6*Ou^nNjsbk@z<uEnvNBXE7ALhCi+DNlE<1j6`J|u=u;0K(lhp|KI2a
z{+#dLr8&fc2tsB#3bLADGCgy#+IS29b0@o(w~G}W;PjZSE7O2NLJ;lpUK+GHQeOfr
z>_{v{+-0AM#?HKtU0DdDMI1IJ%j@Sj5T(nqfBp*v%#F<m2IX|<QCn`s+BPSem#81=
z4y1tTbB+s_=jai+#%lKVac<OR!Qw6=KmlTKzv+J_jA(7l_1#}b9+W58qeQ4DLwhPV
zDpNo}TkZ{KN#}Ucz+cCp5ij!2zG2U|6k$dmLlj%8@A4sIG_t@hMh3I1srNXGS&(D(
zblJifKPqu)-#uNT4iS!ry<Xb0p~DRv4JT~{5d$r6&Owqobl4}QCrWW3AGPh6yM4P*
z(L=6+SVV$Kmxzse4lYFfC7CK3Ba947HuP9LNU$ZyA!?G$jqYsbgt;CRMFa0&;prkI
z$a@$(O8=AxHIgb;s;J`Vn|GNLc}xwox{D<%hk22Zz`7C1Q4;;v+pMYDss@7&*#&K?
z{K(nuBiG9|DP&>ep{(&%4bEPaBs@tLK>hw@;XNDDDBCtt&0<Imbia9Pr*Q5<kt@^N
zX_zeX8ab%Zwo|tiW*5RA3ZW7jC{j$9Ljh9hha<yCa608jqR3GZq<k-EzvzZMqSITo
z4W?0tH*+*<)v99X4Y9LD$yWhY#HChqRjGsfseV5uVF`39-|!~?v?BT{bVbQ~hoi<X
zWYDv6OQD(gm>)iY%E+fmE~UJW3<u7>_MnlHMxjn4H9l)9=wWHN8AA*O;&Pq!XZ2-}
zj#J9?>rgeM`SkXFdut82Ajc_#TxC(o7UA>xaT3yCNO~Zys|mWl{JHPO%b~)&0~yN_
zWOP#P#DE-C3%;<*j(w|=N8gTkiA7bDk%377jh>G-+<0<VVttT^imv>7B%?(^ub+Ok
z8mQBOlLz?eQ)m^@Hsx^P=VS_UIiA7AAfpFUtSp$jpc0C+;$cs1rXcf<D2b2xyW!yS
ztMF(+WpwO^$Hbp@3VP~S;t`->0Dei#p4Zlu(R8%<a#{`rJs9q%S8X>0_Kpp)*%vBE
zwdSmYs6GXGtd|aFxEX_3wVQs3ttwgxbl>*RCZncRxhjc27<}+9(YRlwiimC*FFMlH
z(dU`<B9|usUt_^tdqfrOIk}~qo1li8osM4rV`~Cd8|Obh>QP15)a8TCBo)+Bktlla
zy9p?~$^RL3Lls3DyPEji+W8-d>4qJk!jcSgMJTH(vX6XLIoBbN3h&O}+sLCr7>Cr~
z>ozJ#thC6fe@zC7pN<{W{Y(Y(r)>?--IP)3UgpE2YEtNz-{Oa!aVkWUF69?kDj_Cu
zw0Uex1fdtsm%a~C!9$3+LT1^icbr*gbW;G`5)g{>z^RaT;rGqar$ltAEIA`KkO%1~
zetn`6Plam`(cxzzk6H>?AAS1HiV|&=XpJx`MAn{l)^3$WuO>u3HBHf@&$EWynd2sq
zbh~kO(pm=Td;fDMsr<vmUw(c!8D|1G?en%%y;3Og^B=bL<as>u;IGpcq)eb}u=RIm
zmjs&Cr0H;YJBs&a4p(nf0la9EWs&6(LsCSyOhVl!eCpC^gLF%Pl-{(_KS9E1)?lgg
zWl9e2b(y#|Qi*}|uUASyy9*6A47~mm-;CL<up}paGlsflhdkdpesn&qhm%j?6Q*p%
zHu#;v7=*Z+gY<KG(RVIk!fS@FnEv&)_kT5w;K50@ufmnw=w=I>7boX8EJkK{pPQE<
zd?WqnqnY49f#T6A-UEHu@l_q6wEG5-%RkAX_J$Q{=Uip8oBx9CcF}0f9npv6)?4a7
z7MRf8U<syx`p?+E&SZx$MSb{^QDo#7$cSV{l5eM^c45Tv`_-F)yCFNjU9;AR9@P!V
z)Lf2i!6e<RJ^#JYgLawm=Ka>RXg;ns&AYb_D~RhTHWt-`$n4nkle@QZ@VISUXp@Mk
zaeqFQcwQG?tfsefTK~g|kDNWL&Q;>E#;>@_dUZgH@==W3zJ_0Fa%s&v+KdO<+;<E#
z&;g>Y7Ten672Jxff0j1B3um11;VmxI24&XvBj!U(`1G*L<BH?Gc+`;hF-2Z&$gYa!
zEcaZ*9c-_t<Z2J#8}n7gEmyRF^9P?yw#EY9ZE%@|mth$9{gUtIxuyvcvTsWbVID7{
z`my>?|HS$I&GJS9G(okU`PjAiIlN*JO(%XI!&#Uu`ekP|z$0xW%#<*P>p4d%@%2vN
zr@DXN;`ZOUM}?fp6IHXgf=@|U!uLsh)x=aFb%_G3wdX&TCC}ou1#}@A>oa(>9l`E)
zBn3LPj@F;gn8k~)bHDbzGl#3^k>7E#P#`J9Gqtg47LVI-)C#v;z|$*2!~SNHAr&_|
zP%1cwf159gQ)XMjS8ZPsq?E}}{r(Nl_>DQ-JxQ9qa(o#-kvsRmYKOxo-IX&QE6(GZ
z4OuDizgF=v_Ux<U<s=X-+st?}Hjkg|_MAFNzk##&&BzN)sKM0RfHO+(7Vsl1TA_#c
zZsJDk`)~Cts6qUBjSn9?7I9mNuL^Yy+qm#XON{Y3RXAY{%N?src-5V>RXI&sbobWT
zw+?kGFi@=d_Ql>6yq`HQ`E~&v%KuaK-JD$oHk2Z)A2+Y!#V>`_7_}JCA>$|^gOkb-
z@M7+ur1v_mP<7+X>TgEWQ{+v1zC{T*zE1xXGWmxK*^&*-n|3(r!GfI?SqW0p?LV^a
z*}_8^9}2Uyv7n2OGp|bID}o8%#a{tb8l>d(E})!-9a&_$Z-t2{Lgmxo750m?$O+y|
zubt&YGMJMDO|}B8`d_lJ?xRClnG$~@;<=Hz-V!-NNda7s^w-QfFd*Xl0Jpex9`yV8
zm4FdM1U(_H($zIabo;l`!PO)_bYCNB{|OHwfXzS8l4d5<u<yBI>mC8*Vq-DoDL@3L
zHCeXQS1hR6TwIt#Wf#&7DLZn%M;?0bs67uKWkbHDythX5gi%LVFhTaAJS@FzP4hD0
zMEuu-&K?UEMT$jtS&k&iL;OicuC_DWXfq?HGw7!{8eHhkl8={%KnBujl}|iqLobH<
ziz<b_aI-vE-0{l)gyApiQ9jh}anBdZq|u=n^X#UNJKnnYykrWK08&*@*pAYbMfaEh
zL_oX06Z~})iO?aqQug+XAPRZ>G`hK84kakuDK01?f=)*ie@LegDyVxs<b9Wj?s!Jc
zh}!M=cnWbB>y!v;4&q&F4pKx@JXYhUv=qSse;9g5OB`Le@Ft+qLm4?Oq_V6WR08G^
z0Y%$FNtEE#pO}176_s3R(yXmi1}Ep0n0aw&^jAl4pFtoAW#6%k`sAhxE>*+o#usGJ
zs(Qe#EFdFWo3aRl9sVg*(Q*CsM;1v=y`kGMp&(keM0tW68EAa+3l5)@M@0dTuK&>1
zKtjUiHAfHyOh!*!68=L(0b-(**SwnOZK23buY;P<y^+)X(^nB)mYNdC?a)MDnBQHv
z!lw;;q{EU&W|Yw8;rXm1PFhIuiy+yIUKfh?|97+SxC-j@NO3#;L<{ZxP&zd$yc;sY
zKJZ%Bs3PXQHCHBTw9u*NcAhNO22l9S)vEWm8k&~p+CLDWg#<nuBef(W2s=c%Gd@Z}
z>{+FGg}s`{Tln#CTssEi&4W7r57ZI+&%u|T!x~79JMEU&D!@y__mcx0WOO#>@=b<J
z3X0(n^bcJ$0j0xhqMA}<q%OC=@**u6jd*3`((m{eOA#xmF_Dqiai_l4<EqGF;)dS4
zXj8~1i^Lp_QAbWqPPEfLis*w}y16LRj#pYOYS}&@A@kfEDUzccN`G)uGStZo=2GgJ
z>2~<(kx%7?nY~h|XyV4PJCSC<VpJv*PuRKpWmPcLBZP!MEVqaTnSn;k!#55t%BZ*d
zzX;889+bM@>q?8M8JwHH$3ecXh(iB;4sgsRpsw1PwI>UvaB+@ybJtFu)MphEbk$ez
zV*_M$vjkJ%-PK=sE?W*s8G9@HmUiP-trzb-<1vNXNn+=WvSpA3t@gENJ-;xah6TsH
zH>gk}w%*iTD1{n6<h;{5vW)c!sVth&@9@d9<BwRv#8Ig4UG~k;ZH$He#ryIQ69{{3
zfAeIIFghme!N?&(4|Ti@QPEQXnYXy*+D{3hQdQT(wV{l_x&QUimnQ+%tEF7GwfRt=
zkzz$T3lmJVZ~RAT#h`n%sgur>8|_8`iy>=FFwj3carJ{S^wm)MBqiAp=3A1v=EDq{
zBCncfhm7E3)uAX2Z2~$_Z}I$a0yDf3x#@gt(-0O~Dnx>sXwh_Ro`}jBW-wH;y?0X1
z5Ja9|Wp$0+z&qyxG#F%<;jee#+8KKTxRDf={r1QrF8Mv8k)@dlPCuD&uD_`dPp;VC
zB=-HqvkbjajvEsw^@QGg)V&*?HCT6yyAI(mjC<bF(ldc?v&l%T_->e%l4__7d57n5
z$#)J`5MZjtZtj(@9_;C%v&r$R#k#u|RJ(!*fR~i9w7k=WJ?ETFbd!5A(^N6VPFn&D
zSvB4wDeA(e*w3Z#iV@5s%<cOPD*}jZDTbxq(1G%y>cFJa6Ica4w$<fEfF8ey9}iZw
z!F=y4)!Z917;<bDe{`1s`yDE7$e-4Rw~Ox&``nwyUU4PueY{G5+XOw2p+POM(cfdF
zO<ltHeH!b;!kM5T)9_!pqZagTJHC9?w1T}wI&)Ie%#g@;Ffp=E6QXOoGGD5!W6#g_
ze`=X#2BLe3n69fP7;+9j<&F7=(L7KtSNp{R3NaE~eZMt;E?V%~bk7#1E|YAYK*t7l
zaS|I|=QZG$ld98H8Vx)&bcr?H#}1#|Vh5I4G{9OVD|V`h79NJKKApljfPAYkHTymV
z?zHJXZrq@QKOW-}M^A9Ug^-HpSAYT^m@^s(zyQ+GdLp)2+|cXURXXsK4C;|qI=X3$
z;6*u<d-Wa<bWobr|0I$@--HFL+91G);5lu<I$jugerRjcfDD6NaXlSj%%Hy|UG6!@
z2Pv?@xjLc_r}Iv@wDPb5%W!k_jD-O7u(g!eIje)KTH@ugw`_2{j`l0|QV<@VqI^95
zlLW`5%vev{<AAyT+XE9eLcqLBA&?qDg4OSF)br_FkS1c38BP!Zv#jCEGjb&OTb`iv
z<Qq3Aq?=tjH6#jmCTVvWj;KNUHO&6bHV?F7+P_u?#i8ei_@c#gHK4t!)WUAS2iY;s
z8>zHXAQSNO{iQrL7}$PcbTNq^;=d@Xza~n<ux{1+XGLnzw`?(Bxgh{Ldc)yct}+n1
z@-K?MT@6Nb3a@5H?}EsueyzQaWkHFDytv9ug7gr9R%dx(Amz9%Srg>pM6yQc`3oeV
zzK1rIUm}qH#X<6U01<GW-IJ9(>X2Y%oT`M2L3ToSW7MPq$RF=yRqauSN3MMSgU=;E
za_{xWe11xRgnakno@Chf<xfexyA-&NcPM18Dns~;(fRy;WWc%y=k|q4LsXoLUt^Ri
z?A3MXaIc^MgHK{jN~R3ha|()8ZmL0s*uU@JuWEo!QTcfSE(<=l>Lh-6sY3vH=J4?d
zO*qkC{VV0K9MsfudNDbZA&742Qot=O@Q`7fpb8Tqd5NvkVsgiC9kRM&+q7Y*Ig!oG
zQ~|6#pEa4fQD7X$1)fOjg3Hw&*6;3$kZCzs_W2nF%-V!jOw;s0NWC^KHb@DadwmDC
z`zXNe_(7;$OdtL$P0Zr=QHJBs^t2PYC}4jhxS_Gq0N6@wMc4PJz=v1nYI!M?9lkuz
z_r}Hu&M99%ShT4Em4jMk0U{Jg+wa3PIBE>$9^9fUF{&_;n@;UMLx$OS+G||e0G8CX
zS2bT%;VQ<x%*&<@o*V6lG{*sQx}`@X7FFR>Ea$n=Ayv?xpm!>c-SMv$rX_>Vs?a@`
znRn7l8TNoAQ!X17#-t4F%|caSQjy$kSfc=u5%Eq@fmC=gwnwmPSOv<iwY)AIl>_Zl
z*B_hKQz7Lv-$g@y75D|W%RJd-V3(H7-MCRI$mne-MGGiHxdEqA?o|mewb2y_oTb8?
zA|JVGQW1P=qmPN}3xk}$&93ktRItx%Z)d%)05@L`NOC*ygM!Xj7;QBbj?bB@85<K}
zzi`f({Xe)sipR%&Erbe|2PfV$w8_C~^<Pv01!f=|Rbz=%qCytr(?775g$?(bu7(6!
zI7OeqcBRt<_9spD=XFVgpMe!wgliRB`Iu>0c*X?6d$Q~<I!ZxX-+NQC(llm0xBPpJ
z#suQ)dj9;^FAfc5FDJ3F9~k4miUF=P0KMSqlVdWX@Z_c_Pmj?XET)KadQ2XmttB;B
zK3NE=WUqZM%CEs6jW_>C=Z8Vo?bBs96a>MUqsih7&qus&vSR9YhB1seJ>mWFmk-1Q
z<bTJKzv5c$f0b4njUZBJs=#fK2TJp|Eb0jZIP0}NDl+qi&_q?E*llrveZ%>W-p1eY
zyDW-9QwoL<dGq~tSr$9Ev;JlaJTrhh|B;r=bT@$bm*j!sBo+`G8{MiVe8VO8i&B*y
z=)>uruWwm<39vYqR`)!t7k_#p^he_4Zt&(;;QDoz0cKcfA14WR<6#qrq%(K#21R$N
z4?}zDVE(m<ahh=({%2U?1#hArTwdV46mgCQq%V7&%MinHVe1W(w?B2E{E7|cbZ-+2
z=rdSRF3QKFHll4qK^KbGj<QLASjW6%Cv*)5ORzJ9fQ7ky9az?O6j}3H#T?4$s6jrj
zvEuD_v^2~*aPv@zf!gt9?DN5TecGQL*z0<}(!c<17;fd>epRxF6))W@^C<j`sf`Wa
zmKoLpFLwOApXmZ7!}(Uy>%cc`L#nf6%uWkF(uW!JNX}zlkG<ghH1`8@etYUwcAF-s
zsgu&J^yjck&oup3T1T+i3@1G$b4@r)_w3MO;w&a;mu0P$Gm52oCgbOtG$3r_&Rv{$
z7JH_k{OwHmI2Lq^<HsR$4Y;a@rQ|2gU{h``dsRICVr2&pcD!z*Kx2%p)|T}QcEVZT
z^0C`A_W5}nR%}NB^Wcu@RF@g7mnd_zyM7i^JQr|q^#>VnG9fspb_OG7{QgqvIFH$c
zm|f2CC4)rnz3E1^S?pec13i^(5!>#G$CK&Ekj9YEHk?0;?TwhMdeF0k6|=q}CQ#Ht
zLP|epL3a*2I^c7X^lAmuuYLQ_dxzT(Tc&+^F*Aobtd*03->zW|)$e8+veiICAW$c$
zbspOmGrQ}uyn&^p4g9<OT^06y-dF#zc>&|m&JvV3w1sU)T^W5Ps|v$Wcl%dH7qR4w
zxt2oTo&Hz%O2+u9Kwoh8&j^)eOqy<lbLt~4MBSg_nQKx8k0?T(`|TBMGB;aE!j2w{
zIeAyrB$R=B*-40~zJ~33+!bEB%mBd~+~mM0C769rJXSitjwQyC9qkbTHU;Vbv5qT(
z;p?2ej$=Fg;1T&mq>33T&QrVpJE8~~N|tkUoZHx8{+}BMds!hwWW=tuO977j_x=b?
z4GlQt+e8<raDbA16Jh(H0*FSs8>KVS0r(Q@IO@27cT8%rY=8*eL(^+M!StYU=gs?h
z6COC5{=x?N6QOJT#nvSjMtJwAux;WUFQhX{9<bmgLPM6bFGDi{I0G(hcn0yq_hZYp
zskl7slY1-@TEYyY=wRq2OF?KqX?(*tLLP40i@(f4tng3Bl<TCq5U{DUSW+zIf$O7j
zO*k_L2wW{bXyGpcU)nB}R>|-9=5YsCi#RSYEpe1F=oEt=-*y5aEDr`8a>bQWJWwa?
zd5w5X5;mfL-2Slh{!>nDQ)xCY#QW58Q2C_6Tiw6%^Z|KTZLII=G~@@BY5tP}sWRX}
z<g}^Jl!u^<Bx8(55bDNDKSrv{!T$gN0RR6Kmv=nX{};#2Tr;xwc3sz9_P)o+D7)xe
zgb<|^6_Hg@A(2tZC@Z8S8lv%ei)59uDcK_{JEQpZ`}g%Yf4t7)^?E#>=UDD>)gRxX
z1lX*d{n}4q7;WloGniC_z_Z`OYIBvqLOWk4cT*IenYetEe}f0^PmQ<cPvL>CJByBJ
zNx<H_^VjN%382`$E?g6&463W_?~5~}U_v46Gk*yY>i6HOm3v13GqtKKi>WeD=DsUx
zyNU!~Y@RS5wI{;ha;u=ooGk2#`E0S(N&$z>t(iUz63A6-a;zSdhZMi8V261sh<N-u
zX>*nW-)HR;A9W~zjL}Vwyg3@k^5FK0vD1JDjur77Qi9^TpevKTYA{gd@T@mp4K8F8
zV?syqz)+v_KD0<3?A%p#NpuY;$4N3hI7xu%FScb4do_UP^Gk<ec`aBtJozQ_rwZt4
zkeZ5KX+W4pN>7Hm4v2m=-P3Nb3Wuk?B7285;P?V_vB6P2xK$!u8+@AtB13#JMej5~
zg>^vU(IW#0v>HAzS4sxrnr%+0sRqbv{to@UVg#YTwiNQ>DR7idpC9s9hsIIbE}?V)
zN8|h>=Xt4cAbAJ1%}5RU*;AU`@{B?6^yoyoIu+QYg@tV1QQ=((7?>oP04b*8jyI7C
zvz(=(CzeTYz%_PPxRWVtP2TkAo1uUTIqBzT4i)fhSvHcHGlex~qTCx53b09$JMT{`
z!hrV0u>YLQz=DNpHzP=fshC%oe4Q*9R>~cH5^n}aYJ>GtDpf&AsGXrQTpapw_x!tV
zngQ|0akm0-A~-w<EeqJ-hh%Ez!JYnQz^Nxa&}~NmUH1M$rQ;mX>72!7tYii)&+#Q!
zJn_&KiO;uE{!6bD?iJ#$GllJ*S(`^k6u~FIO8J@2Fg+zYl;e+$DXfO<3YR@359bE9
z^Nhp$u?so|OG8a2@LYE-iT{8s9AZj4VR~g5^Ef;G=MtDectcm4f2|aVvJocQo@`-9
zg^h$yJTr#8uWNGwOyVHQboD~6EHlcu(UiEYWDKP$H*+5Z3B$RkEeR`KtcXi7JM&I9
zK+65q)W7lqpud&KBL0XCy*kF#`BVhJO^xM_Hy<BZyL>r+@)Hi7rJi*GH98!8(A<|4
z$pur3&&$eu+0h`5?{Acm5eyVY9@03(2Ke3Ebx*U|QN^GKA~_qvD)CRuopL4+TKOe+
z>;^juA76hu6Jh{IG_Baa{P{ySBV;`bv|~p<E}f2+FVqLO<37C)0$1og9Q!#Q|HdJA
zK~{Fjem(Hfet*f<W0qbMGJbgU77lf+xh_ab>cQgYea~<29io$(cGN{`;m}UgzQ8j_
zbz#)0>23YrMtb04WE$TH8?qQL69|5x19gPrkl?*l*zHOFnqPTrNa|T@^c^l8c<W@q
za<;G=)4RyEloQ5=E}Ye_Jm{wl_ezT|N9K%R)~CJJECSh(FZa{LeV?^J@6?B#gXL4$
zR8h?A+Eq5BDsP=k*3p9ZLzj*%r_5vSj~9M1U~Fj9v)lebktV$I?LQTju!KF!Nz#=S
z$D!@zsrQ#8G@<0@RnkkxRcvp6_9-k2hc*^o)MVb)01pz^%<F|U%-7lB9oKGlbU<<X
zOShl~$S|Jltv$Di@hLnsRTShv>T(oKr3`gAlD5-RY5Xr1{3~)mnTHc`*dedW^6Fs2
zc-Z+3o&o9NSd(pOT!=Jn(!5x%24{Dkk85*fL=Mt@(o0d?DAw-qa_nw3NG~ktxOAHd
z%`@Ms&fnxgk{()XM}E+NefKS%svc$(ZqXdMYacJ_MaFxJ!fDWXRZdwG&x+<GZtr^y
ze5e!M{FWp`16%!X>DRC9K+X&1Y*QAyklowL%SW21fZZK0Q~%9|VuI&$dXDoW`<kE4
zXD(2ICSsVB7{!iGe7b1ZS0sR5N=)#OXjJ&L<&`ok%ZUtHmCBu%h0wU)mv@psDDbFm
zu>1B97ZM%3`}l2yFv?S{&pLdZ0zCUdZ+)!cL850HhOUT+qQ4RiGvTZhuycwX>-FSC
z6^n181UkjgVcO2?;?K!2{nOFcID`*Po=wmxdoF?0&Y6CbI8TP*B5t;Vyj^JHrR<>R
zD=DNs9P{vrJsFx()^ox}_z}z2u+^CW85CnzpKfPLhM2^tG=hO3@{CQ)*SsT(>f|be
zIvmKbjJ+M2DiuN-eiD1(iyYE5rCdA_MTP*0#&Zq2BIqj1?!^%?1r(-e=abb+hN@%{
zw&+1oL>@nIw?9Y`1!g=lGc~7xcxWTrg*<U2T<JAV9#BGc{9|!36BMY-ZWg@}C5f~y
z2JtTKQ$`Z?f0MttP{Az7Z}oSuG-BKuo}zvsAl_4B8#(<{Nbr{kNvoAX7jn+^Kei>J
zo1#^v8eueu-Ij@L?2<*R>fL%+gDRT;FQzL-OAUhD7;hLY$)VMd*PfbMWVBB5F_7X@
z2O~j7vExDtDB^dLiTMo*`ukUEX^Hb6UmQZYHw_dK&C}1t@dy<?OcvWGiPwaYJp0u)
zPbKtgH}!e{C>8Co>bP^`h!&W))sL@S#v_w9?$pFRG*slmeW>}BHn0@yoWFBN8C@&O
zevy8ihQ_Lkt;>~lLG1Rg6B-!=q;J0CS7I&=S-cUvVfIK5G?e4=Yok@rk-)YS3s-5#
zmwq+;iH-rB5Fs*eTNBY|r-Da~+B9S;vr6~<Xb3n_>CN|ZM8q4C>}Xs;MU?~Pxp%GU
zuo(SCFUnIDP3)QU)}EsvC#QK24>tgo8(tGn@>G#xzg_79KN)Gzcn|9BFb1N6C4TQC
zRg_3Pcr$aDh@yP9(u&fJp`Vdchj2j^t&fKe^PME1^|Rah-h3tyWFhXOwNn-0h6%W~
z4@#)^Jee=Z-vqwXemTURB%%OW9fB^K0=hFIAaVGS3H)}I+--DQ1xYBiZ``qvMORZ!
zm*AWK&94n!(@r6v^H%1!nsg+Q`O#`6i_a#I>OQkn?5m7uE(tHPDI(~nlb(@7r3q-B
zCT-uB!lU1RT&#1F_z}GzK%p?s1gOhbE?mYGQOIlA)T7-zXgi5!x68@|dS;kH(;XGi
zA$GFu_e?glHW0}bvTh8H&CT*919E6gGA6-0kP&^10>1cr#-Q+@Rm)3%S(L76YMhp{
zhS5!oNSXS^@DCVA>X~FvJ(F*Wx7|D@sxQe9-45WI|M5hjg(T7$G?x*N9>L1oveMIz
z0gRT=*OMNKp<B+JmF1l6*fiI>8MAddEbCKc#AqUD|4f(aKu0-7uys8uBu59k1CPaF
zSP&(oEQN^een~&2E9G*_#t5pS@`gMye)OeK&Gb&zN4i4P8x_$AL-^#>?ikm|hraTL
zUs{^_M0e?IunsRb0PK8)ZVm%4GKn^inzU-ACkt#h=}+r}@5B|7|3@ywZ(^5ntg(e2
zQEQ%@tfCKH3>8|(hS^b)e2tW+?MHe5e)@FWX+0Rd=zWdPmJN*#?r%Rq#OPP-{51Kh
zb%DL|d29(QE2=11Ipa83O!vEMlElKH3n{mONtA^dy<_-@cr0?U6`D?{rn?S2kcz@f
znlYkdPxi#cIbm4r!CQX<tF*xeH*URlaT|-3<ea{AqZu>3H9d7rL>mV8e>!hG`3JlB
zM5|1Hv>o#j-Y0Jnt_8tvX8AtPH?X#&mla(l`>^YiQ|*^WHNk74SJnCZ8a9#;U}B;%
zi2ay+$g|5q69oC5zN<L!8zb=kX6yAB!Q|q8EVR~W0C5<%HYl}<z1&>jsY)Bi9t!)V
zWNK-^<&s_o9^wkdRAOJl)b<mbJe~gWK$$x5P93eG1}|gLA71=$mYBtU?;V?+BC5lT
zm>899a|v^OYtUq2Fpt@9`8_dutOjrH_fPP?Si*Q~=ZDNz7cjr%uy#6C4YFyW46!*&
zn3{m4LL|0?oliJV`B6!O-TNXJ{;OWXxP3HpN;6k5{LGJZE>jwuII$rq#;}Yz=l`x7
zPW+Aa=7;@7U#VbwKO>qsU>U2|>j{X+UdOI%i6$<4Q6b<A$J97(1(T;xvQ%3(G49uo
zah6LINF0ypQf^wo&WJHG&r5G%6Vg9%If@i$RoyyM{cIJRO#CRrW5<B#Z$9X6x{=|S
z5bc^k{clWhV&n|9kP+GNbbj-{Pl5$I|5SCRb?i&z;<m2{Ga@{sv<XkB!t9G+-do2v
zu<rrx?n}iii1(mOo|2X-ynVW-MRRKtTL>w)+v~CexnFtqx;udg<40WWli&ZvCUREx
z<JECU&YjIXY+42K7YAs0Roj?kLL1Lz4GzRwWgK+gQ3dQ}uOtO7F`$RlOk-JIT*$>)
zJ=*#`0Zv#nXe#5GkPhc`BGU&R<X!jC`>s9#4&9g<)wsZnqAg!c*FNDz28@J*vY0ZY
zlU@#q{$fEc7o8>)M0cUunz+C=8)aDazD~`G-GRux?3Dcl{OFeeiS}s{50b%Ma<x`C
z#KGIOAh}Nv4Yh@N`6uHc<D6)ImnH|A+|1_mR2D|0wmq=l3J(+UIyo-(T<DTw2Ll^k
z6p>2aOr70@huGDvChlw=WZQQ}YQjMr<+=KpNc>U)p9$KRsU%*cr;x+)@{uI!F$(&Q
z8&(2tw$RtEb9`vF#n$AMxD0aJD^!1aP6<kEW;aGo@FVT91EhirvS@_Y!;4o050(iA
zj1e4y$n9%qn9#BuiqRq38hha(dWY#xmKGt@k#UmLdrbkAc^r+{?7+k3Yfb~H3K8_Z
z;byFbrV_ep)=3^bqYQo82@%}y#8A?_?WGSJcw`k?%c^BcfY*hHIbmJ`y%^!*3F;)E
z<pUF`J=Q89#CNPd$x0g8=f=SxA|g58`|<*Jh)~h1RLndogW_NDD`vhVq5Y4k);<Ih
zOdnDBU8f<3+J5hSI#NnOGQUmN#5gJN;IZS+tu%R5WZb{|!6z!pom%N~%cVj`z>snl
zqau=Edzhp5iiYOu<S#s)qCr2=@S9z*5>nwHo8l7H(0Bc1*BVcC&~?jD^`FHfmDGTf
zY`fJFlT>Gq6uTy9zMn|{<W4~1Z7$2oZR$vFC-Z~hJ}q!AtLOYur-D|Sqp!^nG*G3V
zMwMop4wTjV4TbGeMLZw(`hc;<zq{IQc5qA&#v&e8el;W^2S3I=c{~~jDXINZVK;<g
zF~4CueKKO~XHoXOu8wr;C-=y!(!qth_g(Qe8R6JoKiqi!&nI(9i|##uKh8xt_byTp
z$GAMT`vwiYW(+lUO*Mw!-ImX0Ur^9g@yD!XNh*3Q6df*m(gdy@$kdh3pdkNTmHQi`
zs>t}-Qg@V$DJ*HuAtNFMl~x+qh3OK|b#X0?+a;z@`srTmwjUXpYzym;cqpQkPkz<L
zY-Z3Jp>6Qljf4(%+=&c}mPL<6E_K*znE}V=qUzoMIDW`K{Z&VTIHCqU{AR6Z2D)#p
z(@$ShL3OpvMB!us<RWqW#f-2Suq6$sbhay_rYx?jBA2;P^i(Uy{!UW}8@D_a$B0MG
zLXY=N1~4L)9l!W3Lro#${5jjbl8Q(?u)6&b$2@kWz&JOY!xWebF1+eglSeYt+rcBA
z*_iw}jn_Q?{$lzqF`TcpEFw}rfr#`Z{f0tbzB-o)oJp$E*&3BXYZ0G%ExxYMHE@=<
zg|8X|C77c){eU=%Ti<;pTjei3zVHoUXdB?NPs{0$4PnIjY>(kZLq_nHN;}XJ1~4~Z
zxy!Oc0QvQ0{a3z|89M2ES@KuupnJn2bas*tJ@3&x`9q5ZVD0qY`&&kEkh?vD;T#XT
zQ)Xjp*UJKiwjJBPyheac4sAyyvLn||33MqDRuJHJHq%ixgqCm|eN~bb(fEbT={s4W
z>r8OTu!8}Z+p3N(NHC(ovs}BnI$1z4M!kRIqCR-XCoD6uZ(<e~20y-tWPw*>$7+{e
z=|THg5yQ2+%h)teVA+BQ3tZu&YG|zM0t?HjHlr7_SY1WP<f*63U|W6bh=TDyy{|1r
zC3pl|(b5|6w`B(3!q73zn>wJm?0P||r~~WagYP>wn7~;!1UEUR4Lt!kiolU_tcAE5
ze&-bvD70L?+-R%~ztiT}4qdFHyLc%@$tE&E>h%W&A^BP$MvHaJaO<Y4=ufL;MlgX0
zf5V+T4lVG=jr#RDdx-wHwS_@FjtNLRSMf~eHGw2JH8ICJLHAx8=Z&pkf{pZ0KetH@
z2-|hE1II8!H{rW_x#yps9cR7-#JOoeR1~et%3+?K7Js1{@5Kzi&(tWo_o@SBpGB+m
zrA0d9HDCY3Gt8in>Em7ZpE^9TYMJJ~yG*Ao27Yk6!vdYXC+rKqt3hhtRQ_P@zd&<K
zGUbl4f^clZ!n(H_STuf>K>2I*Vt4%g8s{A#8T6L_%>oVXIX}H(QMf@rFk2=S?av0R
z(z|>XF4KTRcDGm7(?9g$P2C+6B{*QU{W?%6LIbL7y6u(5EqdySuaTv^9MCiR%xkfN
z3acp>MzJskh<<t~;(HD!aGrWzwB$gA_wnWaemRU#O2zrr9_EH`_X9qZOj97*{)uc?
zClee<a2fw&wG&G9oZ_+#DWK-Hyv8HV0=JigEVZBW0)^cvVowGc(&cMD%S5q)O?$1O
z{0}~e;rwWNn28KleH3n~^&OCQhI8hE0zb^SD(e&llOSd@om2594x9yZ1O(y);MPC~
zRdG!f0tQ-tcv*13vE&xUZ`?v~BlSN2j#yQAL_BCNCdUOYCkA*Mp9{kS*(IpJtAbI@
zWsAG=Jn&>pDXTk56awFsd}{9@f|_CQ(tSKHT#UEhI~O1hm8)k1-Lr|{d_!7MZ$BTL
zU~I^0j+2D_nPp4a=ZT=C>PWG^y9-q9-s~Q4mIgZp?N^$9L}*@PJRiQs4+s4{rsX7L
zL0ihaLp_8DgrTbGLuUn{Z$LV<*jEmA`8Iywe?Wvnt^5^xPGLw+(RganAP;FT=@;vk
ziSV-A$s?gg1e9P6D29qqam;YL_=GBa?y>b6y)6b0-p!>q*D1jhZjWEdJS3oAyu4I-
zT>`SNs@+R*Rfb@aqE+cI33@ivUe?{0f{uxBwMGUNc%`@b*LRi-NmGB6Hjl}Gok#hw
z*<&J%X>?{viBaKOU!j`tO<Aa8F2j@mBSD|MHd*@z6?~Xe&qUYC!C~J{qoz$V^r&7b
zxBEZ?#%gMQ1A_u^H>P_N&8ZM?*{7@WRSlxz6qc`>DMBep^U&ojDyWiW1B;n7V8%xH
z@VR&;sCX#nl6;>AVt8YhQwKG{WaW9R=qEf#Ex&g*lU0Ki<@(CVb}fi0>~v+?L4e51
zlc9t#HHcib!F@le1F;sv&#Fi&@F`ope4{`OGNRHojimKp!phEVTb~F}eo)2!jvCA!
zyIL|oqz~a=-6KVnRUy+#*zvTr8n`|8&6<5^2$RtVLd<`v!tKhsJgFKQ*i4akS@_W*
znNY8?=R670npj$0SEx|EOL!zO9>9xz`xQqs2_!kz%S(DGuy~R@{NBbGjOgaB!~xPj
z{)ie4A0`1kIR0nknlZdF<2Jwflms9AK4cCisK77}*_(331cYy&(5W;cLEJ%NfWjp_
z+;;wWZR?i_L~agLcV1V8Z7Ey#uLl%B`Jhz54sBED+_yINGK&bC_4^%ml4Ze7!qdw0
zkSPp)xEOvoL<M%t4n2`GlmKj&@i3#SDU@@X=7iu05N723-6Bc|?k0W;wxpZFs&&mp
z>=_=IQg3&yoAN>Q_Pw*Wai;Km_+5h)UI_y34_o;dvqMQm*82N5Ccwt~w&?eD1u*#h
zFwc<A2!(Tjy(J$1INs!XcXdh*UUM(tez2_2xA5KfyZ-HK{H@*nxV0=Ooa|5ZUmBse
zD>EuWoH5+R0{8fyk_H)pQ#I_bE9mFGgv4nI8bi-);?t%h5->W`BQ12J3%leQ$G`tR
zfWTJPhsZEdfR>d`_ETe6&Rw6TR04qLqr+0SYJ{M!Xy)#Rq8ZE~th}k}UtXVYu2wE-
z3&6VchSGNRJl6T(XsgLJBd`_YBs>`8gZM2rn-%;bmOOvr!~b({aWxA$5V8}VEvw$j
zZ(YQ+6%;?Xv>Sllx2=i1R89yK_1TFHEMoTt*wUJr4PZ%dIB0k$4kZ1s!G*|0%wqb(
zC0%`e5GJWdotk8UvAlXA`%ep)xR`j$`A|KOYY|T<6J`Qp^;N|`qx0A)%kc<!rwa)@
zlj@7)ZTesDjaux*FYN8gl~rSQU09!Mc>Lh~23<Y=EcchlSuDPGdpG`&4(O)4@AmFr
zrPt03x}7qb#wMz)PGmpThKqjsLwnCG(S-t+6w}y#VmudXoSeC|AuHpI#N4@gx@OT!
zeu2qxEajY|D~G=pOgy^gxmhtye^tOCn(=cKbL?6u4{6hcC+7Z<J%kDR)@n3d+ckpm
zx#j8k8fd~>VFAtGx+C;0nc>z)K0}!AWao~&5)F9kE95VjJ3uGZ=)eBZI)GU$c@}I)
zXu$W@zQO5Nz4WKEc7=+hek{8&*vleS9o!<U-7aNy(5uf~D^nfq!~VmK<a%<e1K|vJ
zCOh>Dov9{%UUsnu(-Ub|Qn{`M3~}x=2VOMLpFJWNAKllDWwr*SMslfvCnYH`o$Eb)
zSh4y@FLM`m{6h3klVln+K9{XFig-o;>(=k6wcUY@US-3(iqfFvJL@=G{$qN?t%n+x
z#vNFW)x+hd1yqn*<>j{Yx<!xADmWum-;SLg%k(CwQ^D_sfhtw#3Z@lq8A6V4$3Aog
zL>`W#z`b4K%sILFSYk*0<CFjNZ-bjJoGZxCe(AoEnafkmiA{yot*#wAY+bS`FhqhA
z{k!`teP3eXRz0E$S{+yz%Dx^TNP=NUTFj{68_b01)PXBMI<Prh2gTG*6|y&o#~t1y
zOqU{`vG}GFL#3hkV~IrQvo7!u^sU9dzKz>`{c9H{aKlRIO`8g2ZdfXMv({r0fv%M@
zl0DeR+ix}`Bvhbj<Gx5xaRbI9q0^+B+l!?h)m8EHBS1YaF~8|hGsf2EwkhQC4U4$Z
z<{0x<8TJti!B^=sM(}2NT<O}6*+redY$K=)L8VM~QSo1}t_9iQ!HfZnH?c|mVIUqR
zeM)NiMA|U1sJgk7okLh@i`bFyHYHfU=8<28+A-G)SC59CAI8jg*xoDER)XasN}79I
zC+74+ZN?fmifJ?T=_%$aLeOHlm)QAk?7HvWv*jPgFiL}^|0f<rP>WX>HA(8lUZl2j
zw?3P|Vs*&zDHj#sMQ=pwweD}2yj($zYxhqqRB*}CYgHb;)$G|~bpC<qG~UIPYR+J9
zYyw1S0rH@_X>-3Ib`bN~86^CsV-DMV!kIWf`;S|p+?=~{!<hZfNL)_;JjRL}`*HWQ
z9CQhlxqdDk!PNX~a}S3sVv~2uuM<{e;U3o~lo&CFZI4@7HW)2qhPh<<+(=pY7HXMh
z8a{z(?+fC-p}C5&c^B*8xc>1n!z~tH_7kgSlOhZqS;N?D8B+YSW#DJk?m0$@8O(UI
z=6O=%2KGjCHDgju1{{w{TWL4WVP@vPGjM1BVh)T2hqUfW16zk*&g_qQtbdy4z$-Nd
z)OLUUl5eLJ%<=wW8NRrP6}xwO9qeF4e#IeLgJM!p&^G>{)pi*Zni~JskjIQl+r8C{
z{Ul+wrxRjqR{!;3|Nj0wRy6ELI{jar1PrIfx!PY|!^myE71O<Jh&uCyfv6$@Mn&JM
z`Ik1Z28SCRtu`Epnog5q%oYcCR~f>d!oOHO-Cll~g&SQ=xYck@N*tVaYLOEh7|>Q!
zQW}w&7x67_-;RDN1|3!9q{nNF$b{+5di`TQ)EyLTP~ap6p(Ztl+gg}W{||%r9?|^B
zb38U+kXH=a+{x`v+gQ;ThU_rM>w;*XYv=URm?$KFs}VY~6NiM>F5RRy3ZrK)KPw0J
zih|?8{CTff4wRAp<LN77F%%i=czI@C6iyy$n9DNdMllipt-n~8Ks;ksJIU%|5NR7d
zlrPVV^iv#_x>uypUgluDU$GdNz0eL@Y~e!@EY{q**|KP%(e_!?A#wO)eAbCOmmiG}
zx1YLmR34?>FObx8k^qCG!Yq?~L6lfqeAUWH5oLV6U7b=W36aOgbgH_9k(`gqSj9;^
zN+_g<PPs`#!>{9a!AK0vi)u|Rln{{Yz1O<w4Ki?v{}k`e?-IzQ_=}z!w<?-CwqNKB
z;a@-Vh%<iW(rA}#bMDVXGBPB%T$=5dhsY3iPf2%K<X)d}wjz~^{wR(vv@a@x;2Exc
zh79tkJ8yE|e`7QxpL>DbC`cJhIMR)ps}xYO0Ef}4x;na`mPvUSNQ6lI=M&x6l#tQH
z+vlF=G*H?-4ZW;IGMuL~yZL!5qciWz;;*M`A``}hcRo=xa7|3_BUq@Q&UGJ^)FdsW
zf8E^wShG4jGNCOCDXJno`<kn_xi%8{zQS&BPzw$TX+p$230>LeAv;>EjU-RH*vLxj
zf={-o66G!hEwGJ9cIRs&y%AGNHJ1Unmw0BTU8SNI+x&~i@Y*OVcb{qt2Oa(g00960
z43}v*lx-M>6|!Y#?8{ijjIoUwyD^uog(4JML{eHMUqnb!QY5sIB?;Mzgi>UZ5K1YO
zYzawO(}L7DKi~WP^W4vIJlA=hZz2{_Iu&W`8O5sm{MyFs`bWnJ!heBhc?O%kV`*$H
zXYEMgVg`HN!J^UU-ZmJMJoWwLBO2R5XwR<w6^86icKeQ@G+V5dzj6Lq6^(uTuH=`O
zTMXDMl&;U8$h5;5CohA{U>chmo0*Y(l*&#zVsft9+aAvzlxDsAZNMh%s7yaOr^#07
zFeWec*u%!g>rbkk0b5a)F7@?4Rd&gq>55FzRfw)RnDVerk6lAvxr2Ftz&?(35^K0u
zp)P*&<)B+S?1%h@F)>vF?AT8dorQJw=-WRl+ptla?M_X9Fx59xN9l>lE8buauhpmc
zj`eD>L%M|@_xv7aiMnjsU0!d8ol{#BsjixA*I?Dak~S_Zg@mrNB-$aoEHgl^NsS#i
zudSOnECBI{+9j?KTS)6)xste6mF+(JGl#NE48cay?~|Kt(C?w{=kQ#Cy{KX=!Wxr6
zRZ>EUm$D6r5@SlwA;WIZ+xMSmz7#&(6TUWk%o;ZPJco%qlI%(T=^DLeY1D^gU)wea
zs5Uh5Y&8^N>lRc-I|LDMH>Q7coHJnj?I-yMHy?Y~rt=bV4Fn7hY?m`lX5m>oo#h(N
z#U}3Q(P`}_;9KVH+fi4nF!WG)+XIasb%rKJ62<id_{!|pD!k1^Db@8v<G<lL-7f<s
zcP<kU+qeISQKu!itQRxdE$`IH@zAy^Y$w28?^ANBkR=|xO%1a-+RwUdfBc0mi2%B3
zPT6K>3+&5u^?05<$@(%-JyZBY8vlK8G1I(mj=OU46*82ctP8iQm%KWpp+305v~%7J
z(_hlEvpoK=&b7DbC$gnMN*>MmZ@U>7M$VR-esbZfj7!`4r_yMAQ#WhcW(v0Wx0>@&
z+_?29huG9Bjdfu~?Qu4y_*6+*rrp5{)-nx&U=hw<Z0_+1wh8=?4`+%0=EDzz)#e*E
z6VT?__(*!S2^N^?=X@3f@H1cF*laBUvKMIA+TI#tB6Ydq{*OXftz*3HuB8kT*4}Vh
z*lUcf=i8(jD}=GjW!?PUP8l%2B|2VTVT}9DV!|%rqWH0DZ~4zSS-k2Ei0mjb!WWH#
zf7zL0nBAP-=kG3uRXnmqb?!zu`m#J!Hc}i%yIi>5G3Bv;G;wXdpb?rsvxAejOF+Rv
zRf315fXg)|kKZ*iknTI!ver%#p~df&lQt{DWty-3Q9J{;Ivm5S45SbmmK?)%UI~v^
z7~3{(X5dGR-wr(uX{3pJPnNz@#^jM5;U{Pegp?ghO(zmCo>Z^=QAri^f(-*Pk_@;X
zb2DwF$Y7<!4V`m6sz??-{v(Wwf!#aK#Xe=q!fv1B)k`;ss4+i2DnC!hWZP+vHQVLj
zasC{)V2~Pk<1Ik_OGmx7QC4TXJT@M_>{;fZj(syK`JrMAh&BAxOl?$vri+B&5=8^A
zMAztb8Ze+xJ#p4gL<y@!mJ#_yG{Fpct03;ffLHY5)e>K2NS13>N6l%1H1Mu?Hj9B&
zhnGkGt5<=Ex$pOk9uj&>B`c_t474~(pH#h~ihxZvg$lJ=@GGetTjykij_13J1f7ZS
z)=)WaoJvOP_Vk9TIwK6sOvl|3RD;MwFs;y^f*lO;wQ)Aa@T7UG9cfYn^_7<0Ba${^
z-#(X1=rYENQ(wb_V$^ZFv~<~~SK6@2*x9cUZUX+s4fTgCHE@`iQmN`q#lwWPtIhRI
z;WWP0Y-CCU1?6OF^$RN6Lnq?NGp4Y~59#Mi*TjxZqen*wI&jR*&#riEhHE9~qPomU
zpnF7w4;txUR){~F@3J{Gk4W6tZ6hIQTTMa%Ne9lIhTZo9El_re`t+lt7P2ih?zoIn
z!E-q2@U!)n==YCE=&RC#r|HUC*Z-)9rp~?{&|;!b{8gyEAQ=Wt8tn})v|-Uu;_bh{
zMCHhhZ|SyVXw<Iii2p@_XOYj@O12excKS9B`;cKGRR7**jtqV7-h8(Z7P$N@nj1Lt
z8+xmDRX^7PT_fOpx)5-1{i}&I8!{aAFA2vVCqb{oCgcw%mkOpDRnM&;Lv-0>^_09O
zl3M=kTXqJx6FZ$2ds_>d49&6fTk0?vUlZO{3a|>heQeFNa5z@z@f%$=gevFdXtV&8
z&Vkp|OGsFI;mi<!l`8&qU)L1r0z|ILL@El9@bnk+Y;KY=?C%Z5tGxx<_?0u0-83Qe
zH1C{Uw*ofRYm?VK1MXd4`$+eK2K>IQs#xtPhwFRp-K{PH<{#X&e^jTA(6Uxps~-f+
zwKOC(o(4Xe2YCM*Q-jT<(em#-QqXUkFdp^*R1#8erirM*zqyAu<DUfhr~;0$YC!s(
zEU|Gq5y1j`bt!)0$iHrLQu8GXigQDaOIuZul-I>B;1fgXu8WsT*0bQi@Y3d$RDtr&
ztJ1sLg;6{i`*;4C70#wJFGfcyA#Gz>)s1B<aVGC?ppuytwBygTFcuY{=W?NiohgWK
ze~sVu7BKNrhrU|rf;`mPMslBB6M#uYLBM?i6A4$Y9E-M)L-g3g$Wv4Nko9+Ee~q!k
z)(`QImMxb>Uhc4r&_#Yw-WIq;%~*i&ZMd=I69ExZv`rHc{Md4{cyX1F1ysIY-X#4|
z8sx!yPGNccaM{FGoO)#rrvUFv{{<;DzO|F><`sZkWAs68J9ChNy#^!orLcU<{VlSo
z0&pS3O#i4hLwfhi;O|kA@aT=ru<#HB@q&bqCfy7_T@OwheU-q8`nW_AO9)~Y@L;gi
z6rt~qGA;#5;CY0c^0jp<F&J1q7GPkC;?ggN9YrNDTd*};Em9b5eAg(Vl_pRPFBeT|
z6i4Wc=p&wX5m>k%EL&olVAStvZuVtyT(B$3xvVONsclW;!L7zP?IWgH9WD-`D(k7Z
zFJjOR9k^ZLWenfjl?QY}#j!oXddRb09Jx6<DhqQ)*cP1Vw*8zq-2IY-Oo}Do$HTur
zKAAIjcof)tR~+s6k@hEYB|!=$Z>gXgVP{}j+2VvaG&grC-n%0O_t>i)%^w&@n&R!r
zwvxbZW}Ncw7HRA|l)8>|j)BsgG3n5o5?J>%s)PBPfRfbbEF%^JHQ8ckJrpHzD)WKz
zkf|)DFYbxkw@63HX!|lsp(Ix13O}7qkVCiAhq^U&bgannyFa>C3a4{jt}M*S!}FK%
z@g4DWG<HOZT>UGB*gOV#$6-aRHPJcZ?nB4Xa}4LzP0|Pyy|{17a%DLGx5mE5iVj1A
zdo<o$0-pE15qNt`1&1{Xmfh8&!^`wDvHOw?PEOQIm6fUD&4sU$WeRj8%FD{!OOwT=
zjlT*-t`bp2Njy-?nXfC+>-(=<4(HR(wyftol#mqeTQA6TP-btJxAn^-(BX81cceNz
z=NGyMZRwb!-q5yCRs^}V_h0)l4QzR~s$l6L9e2#e+<zTXLfn3rvy~B=klg3tp<O_S
zJl|{Yp$=tSPyg<geS!q%YKGO$?{tW~k(sPkQ^iH|Syn=f7CiRWA4%N6z=wut=9?i^
zy#L^q*BMQQeBXwR2iOdJZXXQ@Dj*_K`NmQDQ3^bw)ay^#8sXxf@~OqcYN)07+gESb
zMvO^LsCbVN@})E9!kOymEOz+z$&d=>r_-||F~%6{VwB$C*WmDN;Pbr+D$1QtklkT|
z*M7GwAHUK7=~jMIcbpD#p2z=I5;29zQ`d{lDVkWPbo$WPk`5S~KGZmVHHGK0pkjYV
z5-J5_^zX0I#dN?m8m-d|vt?^ObN?ct_HSNrv6n7_4wk5GZ#Ku|(}U{=leJKPYGygr
zN*BGfmv#kg3;10aI%*+HhUE6o5j-P0pcs4{x2d+ooA-<Kqp@Ug3v@)k-k<}5n99KC
z5+?N8FE`u0C*wZv(`MU~RCwroyeP)$jgd0McOAkM;Eyn`ON2JeMF+hs53z8?Cwb*O
zk%BZ=QZ?O<f^grZxhy$Oo|llky`(58%&O?K_^5?LdRlS~0l;Q9ndibV83Od&oWN})
z3~hBbG^+%d6EC_YFOm_o_0|C)wgyI`KKoaG1!V5*jN45lqrxadvWK9Kx73HH&Wc-O
zqEq+42xs5O{hq(l_7mYmiuAZavPMhS!{U3NNoW<=@a<8O3ckf3{}@WOhVY*=eHTb1
zPLa;vq;x<LJ=bm@;UijOjPyk{*HsfAZAI@Zhsr@xSdu%J-x|w_d4!FD8kjG#{3ydF
z;IVbT`{*YiThO?5<tcT1JFh?0>nH_SEmp==0B-iRpX5^1kp5EL`<sdc&ReL|t&0Hu
zbvnDB%p&5+q1bmXnPMPRWo#U=1iS*c`zA_Mv5$vNp{^B%MfK>*wka0=oGmCIMXSKT
zvp1?WM-a1;RkUC)4u2!BzTf^p309%!XL(NWqd(M)V9DV{`U-m@FOMRpKe6^)=~@9b
z;i`IbiWMlEcytT><?-2Y{_ci!Ud(u>W$VW?ajH}{X?{c&qrpeMG}iM#&E}_f>^Dnv
zzf`>Q{)7xV#~d3vt$ARhA?)PqWC_o0vEt!o1dJTsL*y0V!L{YLj~3pwz_5I>Zm5_v
zykZppHY@R<wvdq~Dr13XuB*7Fc%`s1yr<^Y9v;kBe>PW*GDlo5^XN4>N!<KZc-8SU
z4?0Aqb5@U=AvBHr{)>YI-VCcGp1R13(x%wR9#1ng&TeRsP7_CRcaH~a&k9sIs9P(x
zn!+u6G|`Y-9H%2zt_<G6hgB^*_uE;Uf<AR)IpW0NtD3W&z~Ps6p=sU8M<%#>aa)41
zmKeq@MX$|O3V@lpRJPpQ1nysU$Z9+mh0qLPpio!{pU2#ECTol#vF5{Kg_kG}Hl8Yv
zKDiP*Yr8%ivNOhW>+1(LQAJ^;&KKq@C4ySB8`71pj1Zs{KeSI%6fG)8^&dPH#luwL
zb5lEvU`MNYlk6Z0=GPa-WzAxcW)!u#|7PI3!Ah^3G*S2r1~oa>iDUgg-xkUx240^n
z-1eSd3|kXqxBS;Af$g`vEy|1-uzXD)71}I@jn;ay0t1p5DCbqM?4zS_18sp;D~9)i
zvE$r=(y$g{>rgp4?@D2)8XAdXB)Fcrdkq1u_PdkDSafI}WUUl=B96ytynKvw8GI3!
z-Zi;sh_063`2#)@2u_gB_UD$vz2n74n(7SE_}?pwPAN%bZz1xJM9X96>6Biv1Vc>j
z?WoY{lf?Mizry=v6ro*t@kaO#L-egxuh)Gjg>cj8PtgrZSpVs(<VzSLlV77=twb6Q
zT+L~_&#EBolx+X7wjn~rLrgZ@BfwNG?aX|+Do)S8h`*<5h!FL-OXKY_*qkEpi(NuQ
zsom@<J9R^(XsuThTrLMPDcHvUt{S@Bl0&NKhWOc}+M2Oe9&5gj*^F^|oa7p_cNT7j
zps+|;oAMQqWZx;?(xri;!7-_lF@{)vsP;#ij1ug4N80!}e$lPq+kdjb5bt;1-Ebg7
z8Na%N78j+op!SJr*dj}ZiRt5%A~{u99aZ36XG}(U*dMA)G#xQz=hZYPRH2)g+SKJn
z!O%d-m%|(nQoZwS*rADt>nR_F3ioJ3_ERKpeli1e=C2jr`D#co<XXQNK*fhnT@@`0
zBS<)G+-4f5j(}mQE=wOBcx2HsW)_SPK@ERqwod~O%GXC580mt4!f?gjSH_4;5EXM?
ztBGFkN;#ELUA$JG@il&E0$!^k`Dr2v);aTQ)%NS*&xudpC{?ETBJhx3XPSg08PmbI
z8a-Tc-kqrN#0*InRiz%6YC*j#VBF=69vC}V6p?Oo6eYCJ>1-o|Iyo|Zzfcd<l@bs8
zW-YLL`=7zNX)+Q;dI#7RdPrE49dTcTiAQgK^gP^4fn(s@RQ(wach-C$t7}+6o%c&*
zY&`|9v-_;t5_P~IE6&`k!@|6o`_dA}H@auKxIb*9B1>As)I|)?@H_P>i%%OTTvk!v
z4RSa_+_csw5{Ni%lrb?y!Of=CIqNOS_^K#zqo@ZEvm3U$Qbs{}UUBA!AQB!LNR2CU
z^8ewv%-zQvC}^8+%Q=>;frvYdwC&rik(=2dSX4)bSf0$K>^wE(d@<)AJZX&)L0a!>
zNisHcJlMIjMir6vkIr^ov<CTgyw<k0TB!M<mAU(=5)yTj_{b^NST}t}KYcd|6`#%v
zon*-)>uQ*wLzFcF5^K0M12u82AW6q$iGaHn3A^RItif-7VA^iK2I}+d--_`|;pTZ^
zfihid9E>vPH}c|mN4<)eioZC-YZi)_-+`W+2^mukYKZZ7K2>in0<L@U?V}t&az6JW
z_@5~ehqmVYY~3h`Uipc^;$6V(*@h1XsH&(F@;M+#-~$i${pX$pfKo5+@8+lsS-tTm
z7DspxytXX+cPtBq0}VBDn-r06vb8MUcR83>+_GAGt>7f4XjBv`kF>{z9Zx&B@Gvif
z<!oSu4W~c4`BlrpT-eR=)PaAjjRL+5vlu4KtjeNu<zyha{|3*#r6ty9bK#i&E=x#7
zwfy>YO&VG9+w^RhORQ2}e@R;%OZ;@w06##$zxvR_l)^~C5z`>aB~}?#bC`U}0yV|e
zZaK>(Ax_>Psk(28mHxH*m(qYa6a&;nI>*GZI<a(xm)>6%-;KJkIHoy9p79WGPl<sR
z!+)Bz;U8-opU?NQ>t+aAA6utP5W|iMVIj>OT;N;s&url}16%O$On;>aQd}wf6qw5(
z^`!6L{2^2DmfLb)3KPb;C$=_2Cd(n=I-|U$-vq+D-2F0-tVB}mC7Ez1ZXA4aB#g_&
z1QP`&Q`WgckPO;l(0`l<4$Cy;xtfik6?Il&m{$nArKw+fn|M+0tN(Mqtuf?-$i)&@
z1#x*rsmuxrAH0LPTRoo|!M)MR>hdN*Oj5mv5_0%ak&%<zzuE{cDh7vxS%O&Bk!@vY
zB#1noF<trB45SzyA@I6!zSE1R42Fadt*JVq>&<{@Y@X;)q9E4a+3}KEEDY+4ytTHo
zbc~K%HTXRvh-p2$pGqmB$oi5jk#LTVpYoHZqr-*pE4ouJzfBA~%X^O5a(Xz#URd)|
zS0ZrzWsQuF;)v2=m6Wy`!kbYMv589<+fFnstPzlehHSI5daxm$8Tx;UUlfLFtDm>D
zy%ge^hHL(5a5(a$ViT{DD0D<~=Yy_Dqhi^&s}&z;P_bhg-Z2zIqG@Zzo4*9G_evdZ
zOrwD}q`>y>xES=qdiGq8k_C15y}fPTH1u@0jtJcsN2%3*CoOq-@VP&1KB7m%N8UuY
z4XF|!{yUX^rCkAiT~+U5SI`ihXv$W+Ac;?{LTLlp96zx5tTr-cfUDnv?@4Azq0=}s
zBsWn7J+0&Z7rG44GLw0yqfQ!PQH@FG+f?Cr`j=epD+7dk{jMKfAYge)+k+niM9_ra
ztl06+0DmHs9zI?#i^1hR$=u7-@oUZHXKGUhSZO^Ic<q54;sc$^YxOvN)qB*-mq0^5
z$yem4g#wly*h*#jYhv|_pvW?38mKX?oxeI2L3Dkm8C*z$W^31>+Zi;xZ;py`Jfn=0
zU3=^uXS8t4xM}v!Um6ZNRIBr8se*cy|A37J1-=D)=NO@eIDfG`S4xVAJ;!FMj-Awo
z;$D%>jRJJkGpfj*0&39XRL~_h72od2st#1p@q{|cHOQk5-tgMT6;nDe_k8)l{ul$l
ziiXeV^Jt*kPa!sFg&sBprW5tH7$JVSKbg*>33kmoImthI$VgvzQE;O%zU@4yYQBtw
zu>3VAY8v%nzd3VZ%Wf0A%aShp{gVWX;X`pmJp;V2>$f_QXo|{#*vQL+S~&Z5T4~E>
z19X;s<Ga>u2GQw~!iEQAG?j!qo%At4<nXEK5K#-zi2X*hVHB+1?~(D9WdIlNQJd@A
zEOB;9xHnu`8#M#7Q;y^Mi2A%Zb)tZY2RTo7{m#|~Ik%6e=C2;kEA())$E~nVE>JP<
zk2Ze1zw5fXP8VNILf9LHf!@-_1T9@EHdJ%9NgL`wY}1})gI9rxlZOd^^r<-USH{V7
zhc;4{u`($fzc>)~mX^#-#f8|#IN}yE=<nz;d?D5lvOVhl_m(zH1CCRl=#b!59V=tf
zV2wbffaTMib7~luT-Y|Qj?<n$X(tw}@j>N)M#_E)q*}(A>vD<k-g|^zD{F%)uD2Vv
zr;x$F5ImI9sSKMTXXj=W8_ZaqU3inKh3hxx{tjK0$NG$>WLI$;{L)yQR69)qX>u)*
zmQTQ=aC4`UDQk?k9Tx8J(!_@)tH5zFNgUCB-*u+e8hY|_+xJm4P;tU++3^NZxCT8a
ze;jFz$~AL2x|3?KsurAaWD4SO=D~0kx-~Xe|2xxrmxvMFj+~?Mya?q@__TTuU@Hx1
zCx)pa_-oO8dj2wmd0l@We+KxyI#`5uQ5hN5EXw_5ORVUyCr`$-0T*ZUbWuk|WOcdO
zKNA1VI!+Xm;Z0@1bz@4pt*Sg8UcQ*k<uS)P;1V<7{LTvEj*$h!1X<7nLx%l|W?17%
zh5l8tR_F~6UVKO+KvG8M{;Sq0mZ0bNLl3twkyBOmdS8$f$jbIAN^KJ?rz2ObgRWb`
z>QBMWoc9tKKA*Gfu=E6L=<m*%tj`u0nlbcT&EYFS*7uV3p$XP$84XJ|-2&?DgBNee
zi=jHq_(xp9B+F=RiMQq{bEHRqQRW#DMw8FKYU_2=tOY)gw+rvg(ADj%+R`HgvVX&e
zlEfL7>iZ%2O@?OpFM&3vEGY=_qF&i0;qNTb3g0EuBvb6tSl;e*jvrO=&TES5=2*VR
z{mXC6nxH@{?Mjj*AD*r9yZ<KrC#ywM&*k)H6WqHvK_rn@;341h+AkTuS(@W_7rPsb
zaZLQ>fnZx+RJPdIdetqkl-1Rx6B)+fJ*LD~Nan#<OD4Yu=l*pnpSETe7~#FQZ{wm6
z5AFthjyvl6kJWcFMvseV1nbjhgI3?=hDy}qw)Pn=4zIq>-_2ye&#UN6>~U_m`I^@H
z*e=H<?k&s;Wd<^vOpjhW%#AXK?fu(sasKPGW>)6Xkt|?HW5;o0XXBr=t17%`cX*l9
zq)W$5R?eQJdT#XQ%g0*YS%DMoyw83-GK9nDrK-OiKfJkq1Mjm<{P-{XJ+;iq5Xv!;
zvmV!Y;4;}bKP4-Odl}AlGNUvw;--JHOnC9V>-6$R3qt6oNSxVtk_H}YvT*4fFCt3c
z-rM$<<I4w*mZz)J@Zd$K;8e#7==SxcUY8U@|EGivIxPmEY!;!XcJP6E<F!qsr8uO@
zV<X){3?M=vygWb051Cohh5T>{&_vJ89V8oIYGiTSf|($uUI?*;-bg}n$Ite+PxKL#
zwcgy3!+rPm3r@Lq(%2LE!X*{@7zh*hqZ$drsCg=4e+L1hA&r*XUh3ic-6YA#NfB7o
z9pKt{ToxmmMG^@I^bqLn(?#AZhOR5MPs|<Ual~=G)GI|j7#`d6;Lu@l1TVFJcx$2v
zLxaX!QXh3OSo~PoJXr#h9u3B+Ym{;AsqLHOM;s3r8MZ2aE{P!W*5@y+RPnT$u)X7s
zF67Fj^A;4OF_^07Q@fvt11sddSJ&!7$0uNo>RAE;-zy9W6sw`{oS)~}uexZiA#w>w
z$l_yG#z%uc>R7l*4jJI|`jlU>cf9V)VZQl6n9O!f>?IMyD$Dgi=2eV16s7<TC%4C+
zUXqYr_H)2(qdtn#+pfxZD&gAfxc)0gGJ*^v2C^g!kR9Wrm+Yzn2W5}k#a9&2T^D2d
zE*s!c^q~*=_f)ZJT-MukGZhj~0_^hWG`K&p)f;+FM8%GsE&Y8uI4<ZqaCVx8TP9c3
zRmRnz6qDsu<j(PtgjwgkFAO2QZS$Vj;u_d>SN2k2wLaA2FFo^arNcMtkajLp6Eibc
zxbq`9JmL!aTr$qUhPk<wd-jsBKjwMLdOjKsD?26nYa65Wan5tWBrSBCGv2)oqT!Qy
z3&SAJ1Z_3fY%`0==(CoJCRWoBWP0<>*MFvHS`7YjppwJm951PWH#CS`eyn*Zp5slQ
z3nCc#+VGEB`KtdB4MoMZ9y;ola6QxKy*q>oljYf?qyWyIb+@mL)i7~FJKE)fvJMCl
z<-4>weWmy8{i>ApEQA#67_?p0!Drh^o)~Qd+&{Q8_KF|yP_3_iO|K5p?!Eh%dRPxW
z0Vnc@Ih;xgT)JHSSqEVoTjp%&IvA}}ie(mBW0(;l`sBV27Ag+b9xtI_&A7F+8p#H4
z^29zFtkZ$Pt{{t|?<5@YmucE}+6F(VZmvqVsQ4cM0RR6Cmt|CyT@Z!o?(Xiq_tN>!
z1yocT3=k9*l~h3BlMp4u0!30K3<M+vBovVMD5;22(y553bhjVB&Y!bp?KS7j>}Tt=
zs<@~~%7C_jhhk)-36!Wy`P6+@f=ukbm4~Gy1Xgd?`c9fa^6;j$biE?Px+*9Yii(1F
zTcTa{ZxaaUj57T2Kmm5`N4&=8`9bg@Z18rPz=4KmpO!%$6uc7%@kDOOfA8nTo@D~u
zMR4D@Uly+NGx&y1vO;+r-LvPeCcrT)llSSY3^chMh&Xkf4qh1H6k}{Apff4_oMTD~
zqL+LAlhUF98AHC^=cQzrIuQzCK9Uf>{v%IoeFalhX1saIf(*qC@*iWC#o?X)k&;A~
zzt~~s$rak~0MSK%w5jDqp>(j#Y5x8omUd#Bb29)SP^x^wCqxKbmzKY)WWU3ti6lh<
zdVrquW1dCJ{NR5Tl4I9v@!s*#12GyHWPo7d`$xR++~?E98q*HEXeQip_JlD!%hIW)
z^5%x>43RIBfxWoxv8vAMTSkze+8O5N%?VV~ha4O34d9H@Pq^!<4Z&eGHQ=%qJFI=4
z_>oN<#0|pQiC&8au<syq-_O6yu<?H5zxY4>cu7-L@q)Sme0y;6O3^w4Bnv)L=T+~;
zMP@G$>@VvBwYRDD`D1i&yzFS`_Ngv>`4$UXK&>7`ctx_YQPY6i_!qVhDQ)=aV{`8E
z%zDsxu<n8RDkbFUh#UQJsmFDddJA+;>4Nuj7)ep40DVcy-(0^-@D}P9;QdAi-rc$9
zMq{vp)!yLojap2>L=PS&#qsHYUm{yfaNH&~bjI_8&(~UvM<&VkT(CCq$DX})*=!vX
z^eLe6qWy#&a8R_bAJc-4ilD%-qpR3u7qK+&j!tYnWEDazv>>3ef4;YR8Jp7Zx@DTy
zhvmF}ef@N;CJc2P|9#(M35(p>@LoAJf}N+pG93t-Fe)Y>6mnt_(>Ybq>dyHco4u2|
zL3*hHT+9pNx_1^Z;sFCK%9RPsBf!aLR9XY9hvG9d=I5~xi36fLBfqeD%`cl+774Bh
z>E)!}n#Z1*Po!P%{)4^JRf;l_BSB4#zqh&dJeHCy|L4-+4A!=8nowUz1XVGgfBi6z
zIfUt+R=7Hktwm%RB5fkXwv<)IIL%}2nHkK&B8wPVqnlHvfdKoZDw|~=&tnuV_9jkW
zmavL6bLsC61jyQ~JtMU{k1-~Au*{{dU@X4-VXQ+P{>Y1^U%s(`(Kd=nN?l#UnBUQ{
z#!;w)9^Pe_tiFiprkwG;7P)~%9NFl3ucZc$?2c+hZZBdDuc*Ha7H(mz&JtB&eyU(|
zsbjr(dI{6f)^v5I+{ND7KQF9*tpb;-j(n!0T)_rp0_t!R3YdEKq$7J<8LXUH8Gq}q
zVoj-E?Gv9+!hOMCJ%$#_aOvizfI|8j#?t()#72l3Bn}&N7C%>ltz0~YQGNq^Q<!Mz
zTuB3;E?x5>P$)rudY<HgkxlGw_M>X&|L8y{pX(O=IYqeh`G){!<2F_mo!tee8Q?GV
z;K_R(3UDYqYLa7g7du2qk~X`-1RorC?R54lK;FQTr}je%;Am&Ku!LBEYIxT3LA^ZC
z41SpVIYJ5Rr{~D(zz&*vJVlm=<bnHYT%F2(YT!Ou8<?`g0q>-9gZ2%|L7}zT)roc*
zAj`H-y$$7ppDOiB5&y}-h|R69%8_(XP_1{>OOyvx2fRkiB;;T~u+{Ut3j_2Do0^sX
z<OOCPikDoyvher9;A4aHOz>;OAh)cSA7-e76zei%LCNq#Xu?w#P)Pmt<IbueyyM;d
z6&NH7ngcegcR1J~X<#$fW}gUj8-<Q{o|Oe7Pih&xVGbyJz`j1&BnI?U)_GIzvas&D
z*m&HQ3*4DG8UEHufWv9i6Gv~$!WtD>WnhvU#J>xfGiXbJ*YV|;V;^PVLrGNJ_b0r-
z)AUH%;iEJJ*&WX9Qk8?u<u=mAaDM31nenK+A`6zSO-mlNa=@o+MnQ-cgoC&BYIRNJ
z!Q}j+ZBVE@^wGP>TqqL;CrkVK8aYK!lusOG@>c+k{g`$hqZqsjb@I&=R|W->P|Chs
zMX1&m$@^+10TteX{l^tlA$QbMcS}YYcs@nfI6agECmTUSc0F~t|K8<V!Ga28#~(R4
zvLgkQJatToSp=ZM4ynE6RR>@0;nes3GEn=lNci$|B6Qp7aZR@pU<#*yrLiOnexG*2
zvf@b~&=G2S%$NkWRj>Z72g}3b>)o8YXEh+{QyIgz?;5b>0wpFCioi58eq@D16XZw<
z5#Oq`phAPMIqj+vlt`QPaNpGgu|F;<U3+`1_u^mS^<T;`GtHXX)~E?S@q_s_!+Nlp
zzdE#_p$ZO<3opE=(1d}GH|Z%thG2X5RuXnZ4e|x~^J8r_;l$NTS}CWD;bZo%kLNIT
zaEa9*Ur5q`2ZWcygBAcB$q5(JC)MHa=dbTA!%0xxCeu#kM1~gwj$R%T1n97RQE-}<
z2rs(MG?!bL!1<w6jpNb;nCDL&C}~xLQ0iV94`EXf6ZKzlUseZ0+M@(Al`@cDyEkUn
znL^X~(_2P|)S;``iSFFG94M+U*tHYQz&|eGN`i$NjOyxqFC379&HCwQNtewaedg)R
zU20W`%$F%M$Q1=~Di!;V8)h)|mD|oXL>Vs9ru;a|&IigG&oj7v%)m8?(T%B25n8Mp
z%w8U1gYcQAsb+OEaCR8H_Hjra{%qK%v<gzegZhgR*56ElPd~-`=7cO{+B?3=tD40K
zCJaP{bEdGnn=o(rT^d{&4LNkz>hK@KiehGa{BS7Cl<(=dB*+|!Uk<LG!*R>}E14%v
zp!DMfL9;$_Fn=6;vhdv|UKDc$W9lM<G7XF6B9{orO^K%D2U8*oZDnrt17z^<80jw#
z7l3W)fVPUuG$=G@q~OIn03)G)KMzXt!mQ*h{`5K>G9x~}DW(hX+;_YvfR+o=xUW>5
zYo|y1Cw^M%UBY0St|sTU6&n=Kip;mgF`&HmdyJaF#_;-R>HbTcj8LiCJ<~JHfXw&{
zJw5Ij!J+*+F2`+XAamU_^YthLdT4APpI&ST@vH-0nY0veroqlsrHBEs`8t=F_Zz@j
zJR@<?ejVc-)bS;pU_gbPjByRD1`yj@MtbY9fQ9b}bcJowBl%(1GN;4(@V8*3DK2ml
zyK%7P1Nk96$|(zGb9|r&^~(i}{T)4+h!<lCZcL9DPmPj<Ms<PV(A4psTQ4#9VSncC
z6*_cB#!;S0Qx`sj(5+`0x8XM8`Y!_N=@3PJ;Nh3|bs)#NRysF&1kW0JdsncK4vDr(
zp1rxS=hrU@H%xseao4#=&-h-`p`KG^k1QOuq4wK{C8PCeoa<fE#mRxa`c5SJ;wCM4
zwD)m?LKkqg|E5ITW$DodA03aMo)%1eHeK~KUB>-ZrX0AE=+Wqh$Yu9ZO&H$l3$Pzs
z#lOB=ekP*8fW&-tPX?-K0(FT=fUnC2ekP0D^Yl9dl2z}!6;YxA-mKq43>vp^HaeBE
ziUvmXR--I3N=F0Q7wi^JN$%pm4%duFePu$@mCS>o^(2T+;LPwgqCkYY5YkZ^7PR=d
z_*tL>39J_VQfPfB(Zzq$<=Jkm=ptF5I_3`%thOixeX^*~)7%TzQj2V8?rP8V_8UZ~
zKW;)gJwc5u=5kq`k8vQAKKBpT<%rOFaV<SagBERfn+=&;aUv(yP3o@C1aKq&_f#s0
z4lPG0e_}qxg&y2h5a$XefLFPCQ#~UC$_(mTTe-uH7_$>dkCh3qYdoTwm&%9&9N9Dd
zx_D3nr)@{YM|Ie|6G9dsGo#02EPUH~eCX&Jw^I4uoJ07*t2T_RNa2#gAyLGS%5P9w
z_zbGSxN_fY>=GM#yj{3?;({O=i2T-g?5Y~ruO17Hh~Pk_kJLofh{7n;^K*wHNe$S=
z%tkI|a3Y#Y6gVL!ig-VMOdZ=&1^iz`r_fg}l-SaKHl8Ss^8UVXYaUXC-iM>Xlma}c
z#Mt@dLb(JwyxV&;yjK-^UYxSN5zLFs{-ZReoRCC9#Z8U>W>sM`Hd5&OG9U7$vSTTd
zl|~7XC!Mq8)W8xw`YL=^0BKvXf@-h~k`W2GE*hx@OLW?`Q-(swvr;5Qa99=%-mX;(
zrd0>0Fm=xqCJ~gEd;AM#Esx~;o-8v~sKeNipq8m6QFQ8P)Zf6*3dq~N`eEK70^Hoc
z>c6xmj!vh?ee$qTLZkPbUip3_KquMbO%RhLIv2rh<@Ze)rFjjnF<d3Wv`aBi$Vefy
zw4vtepo$zdE?Av4CBdzy_c`wFmqz}<Q?EQ5)X=RJ>QxFQ4Z!w&{$qDZ21Q)<J$av%
zfD{MTy(@{D@LU7!G(46?Rp)d=u^a*_ZORUIbJBuYQ7aC=206rJ%SE3fOGK7mT$2i(
zYr}7L?-tr$@+joZlm7Z>BJw1i-*`%|3)>tE{m$D8NJ6)XGQF0F<i;X}<D>PU;^w&z
zX*-H&d>rGgXd)s3r#jIdE(0Jx^Gx*qp@i~MXR+5AL`1_xAW!BQLU_d2Me7`8q|^Ag
zY}<&44rZ@JL}SJ<U@tvEi>aVeR*QFbdph+!H>QkQFgP~k8%39^f~*re^zW3Yqb}!s
z3AS{AeUjYg{`ILKHJb2>PbI1-=*Cm&dNLWb<2knWcc>t~g9iJooRyJ+xNWpRI~k~p
z$DFnAsi4a%tm^Ge3aI;^TlhZ{6EN~2jGy38L3Y>2{g2SgAzF(IZr!OSu$J>gAlykA
z$(qI=0&QuevhNN3oi-C#**E;l$4?0r^wVxxcuAl-_kZ#^6DDx-Y$RLp2}Q(P-8y{d
zKVd|++?D1UH38H8Ig#5E3P?DB&(7AL548psa<t-mKJrc0vF)QAI!4cL**3<BtoXIY
zuir5NYWGC?=97ExwWfBuC5IVZ&y_CJG&O<G`5aP~Q_|>o&JY7+(IA#vpQwM#kl|R=
zm$OnAr4a9j+tn*RJGd!Z$8nQ;Wa!Va;F4RDK)J!i+V+J@I91{s`G@jkAk|jwcjOXB
zRtZboMP<M6I*+!ftXhC)l=sEQZADOmxZ3I(V=w+&y=m*AHNfg<q>yU4APOU1jy*^B
z8o!>*oPMMM16=WN-8Ex=bTYDH_uNZ_CA=KxBK|dooElxv!^=GAjBix+ceW19Q0stb
zG_Nt7JGlGIzn2RIAMbjvr`3aLmjvzvni&DRoucX8DGns27QQ)ur4Mter1gG##SjM1
z@3vxAY$z-vB=$!@9~N35_M)K70OqvQ3i_m(QLx3F2z5~pHsi|j#b;3;q?8gG<g6GF
zsp^km;QcP_jf(Tnbsc@^?8r`h+(L^I8bhAEpZ<c~lsH(T5~T;HMfN#~-lIk(&*<ai
z92&9TFp@aXr3-oc_=jyCQKANhiW}5%6<C+MqEMTnF2rA%jgJ2K4<FMHiWoZUfyWd7
zoBtfG1Ig*nG^BgB@l(o!1NviCIJMIN{fh~0;0mI%61UpKCkln$s1!Eiw4}T<;s>>1
z@Ie%HuKYT_EB=62yRHN0(-+)gFVh0?_TKdb$5ou9Z*o}eWiQU$gYg^|*8;AXTnHXq
z#s{u=PA<j|<5q8i3HkAw!1t!Tr7C*~x6N!j*<Cx1YcoFSVWQK7r?>nxuaqw0!iLsq
z?yo0sm0@}lt7{sNfwg=tUSGg>D<WgRzWRlmv?j4TZj<1s&e&hxpaq<KXuYMX@(<qn
zo??mXDhVpQ{AlE57jWAR+`hDJ20vuL7J8nN1Zvy0Brd82{K_A$;;5_h_{~(2DY#99
zzXJ|j6^skG`B(dfPN_xQpYa!80uK?Ahb6rq=q=#Uc2qG@150@HQPb-ddwh+i)>Rws
zFW~X98#^g4SMaKX?pEit2r&70ieiUp5x=*<*J|@%4W})u=g3P|2lD4*wL$rdxZ9ep
zg5IMIoHi~xPpMfAE^J$l&-*OlIUD)Tl6yWp{WdJ$;-4zqkL1+PKeCM1)_hS=657S@
zH#!*b7^?!K*kY0MnHAigzvS0XD++YB-6!#WlnUtHnXuANUd2^AN=oPQDN%TTfmiQW
zWmwDX%=kOEh8t=JL^{Y&Beu!%_Z-s7@P+Z(=DmOo{OP)@qhB2js<Cn1ytv2lZF#-Q
zZ)LaetE#uMe}vJY((7}VwMP{}`q+nwAi5p=MC$gFduJJt4xud#H&=us_vgi|h5q52
zhto+<gP4$?=|W~mwE|Fmr(?+~qd@J#DRjxzEGT_C?(34K0=%@+IXb^WiN4c|Xd7s<
zqjp-Qk-j(bAR9N)pXf-9GJ>|RI4*Ob?qdP;|Mu^3@F|<iN5*In@5?&D%8Oj6WXIjf
zb4(626DN+4<LHpJm7**M3lFLap*J`hBL}SVj61n|`WB{651skSi+J9pn_~KMaQ*S0
zG?5ET=-#l3T3ro4`Y-kEli3|v7^}!S>X*iXn1vs_)ae#P-_qX9#B|95%Yh!p5*l_?
z7_juRTUZ43q1%rW-pN8ucfakeE)G=umDJ*uEQahz){)$}EC~AdU-viVLd&i0x8FUJ
zK*Jv*ToVUnp=HaroZQWgXs=rHuX9VG=~qq$n*4Hb*FjH%^A;}}4zPVV_e>h4S?v1Y
zL2{s@*R<X3%8z2yf}Ii$%c6=Omb#_?<bdnQ>S=vfL6js(*ji(kM{^&}Bcr{($$eWD
zy>?R=9ZaG%5S&p!|2Qf%4(BR>N)W{Xqh3)|S!HVzGOC0sud5oI=vIV)fIG*M<s}f+
z?iaa_<0{B@YShK~fHK?@cogz8ND@uI(P_Fot%mrg>qDIwRN*s^l^au^6cVoNfBGbZ
zfExB@fks>%e!`C{G3GL8-`k<bLH`jE+mp`>6dwuT65VvRxIq?Wg?qY0x{=U)9<vmM
z1_`j=8#6%%<dI$JPv03G4aDJ)UFz^f0~$Jozgc`zKmv|^^5K&jsE2>nF6)sNgm*Qk
zQS4Jf({aB1tZtg9NmqoWCSC``5-yo{7Ad1wtO|mMUTC5qG53Pq0zI%;e(jOBp@Ir;
zPyX&m(?qj1Z+7U%4B*sg`JpHgHT2;U^YLi%-u;Pz_eG+{;6_zIFU+KlY*V(qmhNjH
z;q`jTgNgvPWtmismFnp7xiiy+F(hPPF(e|VMF!K52O3%|1a$qvpgWf`5lPC1{oqhA
zftro(+aI_ID7D9<XqiJD4d0M(zPoM$w?Q~(c~pImZ@r9vom58Ke<EUbGfjcaR38vS
zR!92xs1q)_%cFC0FX-d=%%E{L)tA>s4aJNN9^`S9M*aKR-$lEafxdg9m_D~Ens9b_
z*k2)r6icd}I0l+QR&VLOhsnz5sIGscx-376JUn`jc*YDARU#(;{!m08K53@U>T;kL
zro4huN@m~}qB*q2tbpuBdWUmWX%M6FHF2wMQ;_IxX1ysahpKuP%VG~K;gd&d(%9Wi
z!FNZzG*MgzQ2_JTb*&maP&#ATV%h}Woi6*4FD-=<`tIhw;{1*AG~PC4xL^VYx~_5F
zBT68qA1uY^tJbjmm33Txm<)8K>`4O8MbPi)Ruy|;3W$j)FY&e`L#oP&dUg&$6v(6T
z_l7n#4Dtq&?|cMs*zRG}uHZ$ajU-*7D=l2K`@(Ex27otlC1<2?p^&Y^5mYU7u%Ba#
zHS;D0k=uW7d-|}WEN1DRmWTAv;PT!_`++fh;&k3hP-a5@<-hG}*XW@$(&!eRZ3OEq
zk|~>RwCFu0QO=!)0r-e|j@*rgu&?=Hoi`69BBVX;+~}i+N7@w)?`93)3jZtN$#a`{
z$K|A7&3EYG&EPd1Nht%^p!oE2$ae`(6KlzzSE7fT+I9c#pVWt2sUGJK`u@R(@&oT~
zH_<^^M@YYOmL60(Unr8#8NqEPjbpEP&_Ps@;p)VkE(nZhq})hp#Dm7y!y|?0pyfBG
zN3yBz-Z`DHJ6wZViijqfjnTrNk$b^289I<J<>%5m*@KmO(M+AfX+d<coZ{N9HvHV?
zy7BATckJi(Ak%>wT6j0w_iV;Z8;V<=Cr!xy#%5S;#%}lQ)lswcn`zgASM-4ve}v~S
z-8VXAJlu4!>pSN`Hqip*D-9R)tQRrK+cv^({&di`(lGn>jV9!Fde&`zU&dsXeqDOC
zLI;bL16MUPH31E$>O?xMVd7gBg3OupkaKe=H@RE`T5?JQ^olpI9j6H8Xm191;wE{t
zQ%?g>$)#Gfv4yRx8Cz<fVT6zVMrVHR<;s2hcVFzOz}6hs2A!`nLHkwqYu$Dv7_#YC
zE-|A3;&LT}YYQ_N{-E@KHA#e$&!zqC7bzi@%lz7i!CvN3gtYi;MA#xW*a|(Tg4Myy
z-Pc2GpiX=4bA~7pTBaAC@PDTUV(X>*;YT^(>A3zy#`gqxlA<Z8Nuq^ou9Hf!$2h@g
z*ldm4lK?Dbnl%l{bkKRhoUPNJ3x1ntSFj2aU`e-pl%0bCu2h*W*XD6UOjhwoX}UVN
z&9})qykLYV^FwbtcX&XWGO@CcM;&;m-|Ds<VTM1u2bv0e`C!thY^oql4Wz!gey)^f
zg&eIK^qX1$zDv-UhwbIZY?o*aOHp>{IGx_F^i~iYW{-yS45&h-{+-yL=^QZR^k91Z
zfiP5N{`0w$q6!*`nWIF+2`v_W|GmC13I+HnzSkF2p}dC_A+pH@+9y;FU4AVN$4+Z<
z)!C@RSt@5?ISU>*L*hBMv?~F2qWg>d9aN#Ef9`yF6)(7rUv^B;kpfLuVV|`?Rk%46
z-b8K850b2NDh5%~koks&`r8{-c%D*xjb}^%viuY+n8sxQ>#OHpkx+xqS;onPOd)tE
zdh?i%wH*8#@M?ZsrUsw8WBcC*i$FweRPJi4JY-KA-L~^rhr-jL^6GwK&~N|2T*Y1y
z4F3D`$CE?=4!?~4X|e=RPIbjOj48n^&y9vl%><wnyfxQ%OcJ_&9NjVXQGt^qHeo>_
zL}+a=YHYe91<seG{Yi_eaO73){s2o7Fo@^~20oXD`r?$rC+F0mQuO-dFj)hJzva9f
z>X3l~<q<l?lLRQX!Lr<rYeH6PL#Pn79B71R2-GbT0OTEf^5V6C<f>_UhA0o$-Ns$+
zULr!J(-DimQ`(>t%6)(5r~(9@z3|ttnF#cqYt?UEbb-LX%I4yu2p@R&OJ^?caisdz
zfvVqn@QNsz2R=%m{D);%ae)Ygouul}8wP;gUU<D>r3{y2FAtPe5h0&Br8ZmM2%h|2
zde_XP0>NHe`#AOyp-pl^U$M~`jBVXjEFP&qdxdT8+lK^rcIt`TyaIs6xz{`_%X@uc
zKjC)TQyt7T1<w?Y0q6`g@GbGG!b)S@buy@eUHMgmpHXBGzv#T$w50+Pr0gH24N9Qc
z_T>8=Rui~)TR9~3g$l4etO+(|QGjWbd#NMX1ak7m9UM7TfOSTn_6I>0st9d1;Y}v6
zJj$W9uumDFa_42%VJT=7Sn8!)GJ#{GhlxW6lwfOuT&4M24BQP&Z-r5qLTxk03p+7I
z$o4#G8WSN1?)PK!EEo22Yw5uQFFWKxBQ!NRDuM@cgd$9)T1+6aF|4)DQx4|)hVLd*
zZ~%1>JA>_A6L=mbD0OX71}1L`w519#0Cb)GSZ8Pgm%6x_&-+P(SB4}-z8xiC>=)wq
zkCVZYB{NicP7=(Qk(c4#-s+R<S<Vb2Lriyk;7xxCcz?z7zajl;EH>TY-4-VqQpDdC
z$x?}dSVQU4*8PK+J$7evHw&QMi(=uLu`r}JKl@sr`Wh1$&CaRT1bBSpu4U^}0qEQO
z)##<(jIXqe#)aI)!2gT)<04f)Xvx#tPZH|I*%Gyt4we{$oNsg(^%OT8Ux}#^2^+yP
zl&&Vb^&3IyeA|d@2PfdHCx~n&<M`7zM-ZYn0_EL7eb-KQSQra0_&h(3vxMHXoHQ_m
zmGHp*H%_vESntx=@#JxQV_JoRGspm9WMgW>O&KAheDe{H-x#hlt;c0vsSj(Z_dIsO
z=wRYa+ee3s!??+@Fa5sTdT`RfO?ZQr1`bO;dNwKBk9)cqM>?D9!H#j4&Q>2Ke50M~
zT(;=OlV~XMjz_xC9@sHkG4>B5RNn0GC49k$9~(O*&g+1&wnkEa>^A1i<#_3(Ydy|+
zW8;FG#a`ZAtX8rt*uail&VHKFT!KH@OEyeJ+8`Dswi!TN!^~H_c2s^RVOct}o;F<C
zpgJIxWzV~Uy|}iM_kg1Yi%TajQHN<kQcDae%W?_h`DiqM)4BySX5)Fe{#z3mdMqg?
zIu<a`QLWSR|8-!^|M8pAIcvfx!7oqGKAy*n%u<>^zV5+J`0yk!bZUT$VO>xt%wf49
z+q&Z42eBKQ3;#wAYk<_8GhJ!*3>L&%?sg@54C__;sOkNY1Zg#qRJ9MMv3&<wXM6;H
zV3~_mWyyy~Kx#k!>U_svOxHfJXRY)n_Bn#$w&_<Qyvt?I9d`bUJsTDBDmyxb{SN>D
z|Nj)2cRbbq7su^!ZQ1kUy7qOiy+6nPMny!ZC^XR4ASG0akgUka%1D_R74Ex?RAv!H
zgh=+@<LCGP`;YT}KhAkQpYMZrJtcJfFa>;uOxK=jOkh=qoeq?<PhdW$bjQ1g$WVLK
z^w2^339Piu$NSFDDU4m`LsHTuGNjWoF!sEjz?93kY=S*zF+IhIws?9n@PBGKCFD4X
zX+~n})su6Wci*9uK#D5h+1SWi8dI37+1|v@5erzk$S_{Oodj1{mB&16r!mTbxX=pA
zCG4WU$-?hM6~Ns?mE3tV7`G00@+YYktnjNU<y)6B2t7<YY?n5Rr5U`fkCt4+*bmh0
zj0!1(uH5zizTBU~4u2nI9W~#;ysuvH7I#+yyqqN0lgIPecu`8>deRogWcT~}?Gi<h
z-uiC_Y8J4SnPmAAZW_2!|NNFDvm&&2e$08tzJ%2(4xZ$?L<>$;T{R*e3Q+51Qs5r4
zjOC|fA9S3fgV!exA5CtM2ZpAfH#hOC7@g(yLFRY{D0+9Y`X@;qq;*P`YbMq(y_raX
zSvMwdvFCLmJd=aJ!NY+EMmI3A>zqPLjx4~brL6r!Kn~sq)J!$=ZDVQfYe?}X4n&R&
zF8d}B;UI}GVBC-f?jEDje)pXnmijY3MoJK&mfq3BB$^h6n6_6LeYha>8#DH&NEWU{
zo&#eBdQi^LwB0Mo1Gv`nHpi`H0Z2~4G^q>_d*=@^vw#;0eh&mo%oAY4;A`&SF(!DD
zVMWeA#s{*OS=0TV6M)6Tzbnd$1>6?CIHc+bK%P(j3ioLOtQIfFtewI^`;!lzU6>H`
zhzvOm=n$Y_N{HrgB|F${Zq*fD6M_536@Fvl1lU*q`G^p3fp1WS#g*S;z+hn(NH0i$
zb3-}CGju$_PIy?Z7bFSa_r2Z@Rv^Gntv>s*P+sVdz;Qb%OF>j%_V!CB0-OnGrms}t
zgO*tX<Ee6Kcw92sE}c(+^W&V`X6yXG#*CjlevAO|?-epJye!1cuf_OH3ql?>j~XOR
zgn=1hGsSvYI8@!vEX*zf<EAEI5)AV2({-x3Cz%M3;}!F~4v7KbaUadQ9R+ZERFcPB
zBnPu!4(CjMlz=9-=il)>%3#wmF)YfY05$cV$!ukKxN$m0d7eT7#gW30zxj$_B3LLI
zARrB`epi*AD3f7Hn1$6mOBsj*d&%w*GLZH*^T{zo3hW!F$qHO2f#)OnUvGJ2VWlYA
zBE(b;EW<)v^n1xb!*iS&pGkxi@13Yqn(B}}OJm-6P7Rz{JBt&v<>9mmpV|v%4XErI
zp_9_o0EI*U+E0E~fL|gz@wZ-SfbHT2eIH2+#4LkPvK~|dweHR#3t>&@^$Z{hI_Q9>
zs)MBsQig-$m!xwHHDS2DX5ZgbJ+KaN|5Ct4f@<6E+MS%5aKohO3)hAL*hPnYZj)67
z7CCz_?5+l!DQOxsalwF-rBV*jkfGT_`o7{*bvWiBbD8-Yz@f4vrGtCP(9N&gxo)Qh
z?K&rV(6BK)yFQm&c$y4X22;X*RFXlktu}|$X#(f&T-uIvB1467)q{p&6>ta^d{g(-
z6gFn+EZaoLAba7AMoNqV6!YeFr;^Q}Gm&Ai%~cgbaep^&o5=zn(X+}l#tiiK{ClFN
zPJ;WkH9W_b@sOKbC^A4bgHIF3vuSFS;YRgWub^CE7(7#+J5g;0Zkk-<7^@P{{#kLK
z+2Mh&6aJ#t9+^Q(cj2o9q5}Nhx_%?kh6(Q6u}+Y{%%F%rqF9_D2aKM_-?vUKV)*te
zG6J2ZFow4rILy5}XFZ2)T3-}nvezRm%p6TYtnp0YnN?}{p!eg{n&mWg?LqGGSIs71
zl_N-w`HKgGJwuNlj%`rWw{{XG3{7DDo?hNmi#XV33Aq-1qeCvqoLBi@8pH3-5|ZqO
zFeLstD;;r$3EiD%!oG?b!yA_Z{i@>v@Fvu6f71jDs%`ldapy6Bpy#ag7Q-G$jl5!^
z9g9PPX6H3;vH_$rd^jEWoeQQVZ`pW1VnYYT(!PHcz(8NtQZ!v22Qo>Aol9}-h%9?+
zl2OJ8vQHjuklAJc^)e#!tUNoi(feL>Qr{3Z4R0=v9;5-m<KzB+nAy?Gxw8$Y-3;K2
zLQb5w?kW~{ez?Dh%7(032gGcn^x=2}X=biq7BeFs`OM(ShWIapcG`T@g9Bj-Y0@3T
zSl=7P#eei{=$MX!OA@Od^bvLnPyK4e%6i{KpDMti)8DgW&mPhRKAwT_JAbRF9V=Gv
zay)Rzxdb~Yo~r}qouNHD**~a-P5(AB)N!b$wd9%rtq#CRTe*s;5vo?BeO??Mhp68=
z;(wgb28&oN1<9*Z)M)d`L#IeM<mMdrZo5ef{*}%(C)m$ZSNrel?6~33&FWbXH7zZ;
z$=`f}BXfy5=YK9WsuG8k67mbx^EDwfxOn#B>s4y%WsQsVT5M=+#xnM+lqTREX<OtH
zH>k~8=fCdsv!R_wdWWW;X@G;2!rUY0ZR*;M(PLLi*wMCQ<$qUXG~gijRWH^M8gyK{
z^uA>g2a?cXV{v<_4p-Q$r6f9Nk-{jSL+%ewl;LB$R<5TGth#C!{z=dyZlQvgQ$pP6
zu!EaLWUCrT1j_rZUSL218|laL`nZvu&pL_ej2f^dNO?vzF(P!)d8ECH2Z>&wR@pGC
z!9}*-zeUQ-==bFF>V1X0Xfq(CD)%J?{_yAbsHC%?SC^H&g=_bq6q#PNqfQi<oQu6(
zNW>w=lCSDk|M<|tbSGyEjsgc#bv(-J*wCtQU<y4&015tjA#%Q+3=3-q4f1brAghJ^
zGglG>QR8=i=TG;@;Nm(!?LNST2sVigUqpma%^T*}U>h=IC61kYm%)v$*a~qeQ$<km
zhPHr%G#Tt#mHj$i@gM<F+UTUaV(10E1j%??6~c$Zs+C)KQMJmGfImJGD9EakwZ26a
z8gZ#qZCXC`XSg}DQ4f#M59)u{%2i>S<QHaa&5xu6a&$UurI4Peg5}>zRXFc1>gW4X
z08P~`-S~1{8u?es1TA)}!sV&(;yPI&r25{|h^0sdy_adb>d8)q?D%W1hbx5<4}WTy
z;}QX>7D~`f8j;~pH>E()LlgxBPn-PykBEvzjyZYl-q-Y7H*<iTI69wv%!)Br4ry2X
zUj8&l29$r{tPF!BlD~BOpa#1FIx|D>LF-6?*d*VOUjcaZJ4C;}&Q}qwE~wpJ7^XmI
zZzI>%Z7DR%{mY}ZTM6BFm7qBssRrckV-`&j(x_6fwo!<pf@+&o1RvS&_D|D!`R!*i
zXmZ8j8PjzVy5Ppne^Xln0;NN>N-GGc)cdby-ZNFCXC*gjs;dd<j!(}Swa6lCRg>~X
z8#3CQ`A?DGNee2X;&}`Qh-e3kN?R%?qnf%XwSSMbfswU!BJ!^sdcG}%ecT`;9|3FH
z{lhvSI=}PU`?oy$QfHN(C`v)D{!0>imU_^3TfZZ+P5~K(irMbtrXY_E-M_d>eYh~S
zU;JFSB3ik{OS92MM%QlRSmG58!O@jh{{cw}^`_aiT=gcS;xFtbmlKWPI(=_(W4;pl
zrBKY~ldOs!38lsRFJo}iqmkObtb{@uv2HU45=x8kwW6c~xPBFGe9NPZj@Ud}G!s@v
zA-SY*V-;h_*ypU?v7&^8<p<3^jwzsGhlL``Tw};#8aMUGQ$pBq!n20Ea%lGVn|M6S
zZa#~AH%cNXp*SnK<QufI$Z$IH)5v}kps(8-c>RJRG7t^E{>fJwoh;=)#pq`OZQif6
zUqvdQ*~<bk`vxQt*PM&9=6w^m_G8T7^qxE-^Gsbh$03S1vbS6;ZkfO<e>AUkOb%K6
z)eX*%5<nBu!F<1ungHKbokbRLB7zE$X%0VLWOvphSxvzNvOK@n**6mq3sX_?t5+O|
z^4ys_f5aGAY2~JTF3X_3zfHc=yECJA&9a#}@y3umQZ>sbAdR9Q5pUMB)1mxNURUi6
zjKL-Kui(BKJjyan&FQt=pw=oqrv&r?aK0TkxBDr9=<gZ-)lpfbUUqQV4DbWMJyy)g
zwiiRRWeql$jHamLGtS*6yZ~Y+RfsfG!pLtqP~5Tq4^>R<vQCyG2HgLORD}uzk@`yQ
zYqpAC)S|wf_V_R(Ahb^~aX;oqMj~x}RwZ537avYG(^3tg#fIOiIDHSQcT2w4L*GHo
zmX0~Vx@rJdQ#P%i{p3M!Z*&kY$+uGXRCEx%G!4K?z0xhwh#Ngi^mtZX*-EWBH;a$C
zt`Edg%^9O79LUnC&Enqa4k~+DvPf;M9t<b0?{TAHLz#)ceD8hlq*B89ztgbkf$;hA
zjfU4OD8{_t(mm%NRM~|GV~39FLgbjnq*5^xQmG1a=`8N2%FwRcKQGk*nyVAujMEHg
zTG?>L#$kx+trzLj$+6r2a^GZ1yy#I~q?SW`^a%CnRmZ33oHjhL@|H-EphHPF+#Dh{
z$Ef&Bu2{>jT2K>i6?Tk;7FoZoJ2(4ilInD`+37!hEpQH7@c1H4gOWa!IzN@3rCzzE
zd?Pzg6Ff{N{CPXKsS$o=*B065sdQQN^&p}NlSR)kLirZ8Z$L6rgn5xl5NCMC7_9*U
zroWEf8rq~XR4mtM@-9=)3j8q~VATMgQQVzq$4%;z5XY(md6oKkJhh_czB;_0;Yo;P
z-=u!X41@!o>(ohmC*gQjb=VV2BnQ%LQoB`FUOXw;q~3hf@c7sxHCP(e9%EG9q{@cJ
zzSS4op^7SwChrkegHo>^m8AGh>e-vE2i!Yp(5tvCyQ&-t+-xPfJF9I`E8^a23X|wi
zD~<cFgF3tUmTO<c$FNO}-R3b_Po+mP101xIEo6AjY_NmjcBlrmED{SuMl@-t`y+AJ
zBX!nvU-<35&u7mXI=N;hG|g^Zdx>$^pGk3t&;6u9CvbS#nP?U?ca^q=Y@-UL=I=jd
zzM@5ed`r>2emGPrIe@>ILV}15+Xu|4bZBc&#!lINcElWfp@nln1wOxXg0K1Xh>1s4
z(eFJcs>bVy#@VaDtNW*=g1Q)x`xA>G)p%}nnL=89UaJhwy!RcyNim`1*cle@VIK5y
z|2zYyrZRj~lhp5sW=1~YuL*DV??ESyqy<wemB4rO01qOtBD1jc>$kr1Av~{<Sihwb
z><f|qA@duDcJz0eWr76Ic<_h9hEYXOUej!Q)4+~2*g7jj_6woSEY>;R1Vym6r><P;
z;Y22<x;pAG5wt4f&G+iCBGh)-td~Y|qhZEVSKM60ka7lr*sh`o^#b}LqfNW@eZ65f
zmnMP!==_)y6jg+Dvrz?K$vsGF^C>0jJ{}!3x-b?ltq4y$opKgq_)vC3JJ))b6k<JF
zYo2YX2zUGU{+lKUAc?)EVZZfc(B`XsR!5^0fp|14@ZEPo6x%53)>}?MA^RTuP~K34
z(^A5z=ktY;&QyJJvpEqRY@H@>$0|VzA+54JRTQmljCbXY$ss9QdDCl0l;Ov!hGt=z
zIMO~jWv!dM%MJFm5)~H}C|RY+E*qCbtGz3Cx}B8JauZ=hH=YDMrA5zU@KVS%TAPC?
zs)7QC50Lh<lHqJ?^cs(gH0m#`D{1~gLbDxJ`-djT@P2c7&+}bAzMgwAjW;Kw)2SCk
z-!4*sOHAQ8WtxCat&ZO4=Axh*`hku|WYyvD=4oP_F%fYTnx_XfP>@fJc?B_01H^8!
z(uBszq1qSw8dHy{p$LBI_2Df|;G-q<Ki=h_Z*r(1XPX*gSm5VBn4t})&qWl7OYCxe
zer+h0TOD!r*WIGJ>w<{S*vH3aN=V{#nOeB8I&zm@)a%mK2c~<g30YRk2==e0H4dqv
zYt5rh;i87{X-RFZfvAGU)T$XHPOG6NoxJP*>qan0IdZeQO$E9AcY*DE4h6+WUc1!f
z0r2;y+Zzi*66%tkytbM_Mwd3b?4xy!K~>49zvB!EMM#dI{`Vx*&@I2pzhVpytOLtJ
z2S|v{8D8-9DIwdN^@e}rP2gJ#hg0%|3bNdp<g+f6N0qvw^oBg9!2CS&U#E!*Vh(dn
zV04m2Qp}YVXHJ=d7ro|V6(?mhvgP$4Wlah#`$+U{#+ia#_{&=vYD%afo7FheT^zmg
zs!K0OGllF3OBHgj0@^rGck2s95XEJ*#gB%XLbYUYg8Wf=6jfHhA^d;`rRSaUb+j{u
z+Wn*nA4Eif?U}bEc32Sm*z^4sOr{Wi{u_HOuPl-+0>elv8gyT`>4Qj~3H0}BglHU-
zL7xZc9t2I!Q5(+QZW}Q$fl;s9{mpq&=nUhXxX+p0RMJ2|xWp%82y(P?bXu20c-jzp
ziNh_}USib009#|YZZcfW^j-`V&+U&|mKnv8PlkI<b^+)<Sap*r5=PeT*+zCxW-;}L
zgDROv0Mbt6E%<#AKrylUUjjlGvE}`iA&!k01Rh^H=Ox02{(CZN7bCZVy)M_1m*_Qu
zo=%e?i!>gT$Tyl7UcHJ*gehh8EE~d41{v|=MVx4V*7obx+iTd_SN02XB8I>k$|~{g
zAr7&9Se|akTEkSwDP>@807t_7%3NESkR?BT`Ig-p)>OSGozriZk31unRxi;bJ)MS6
zWyPzQ$y$rQZK)pAow_^`agheK$Khh)f2?4*b1!vXF6ctekAyoPLpP{#i+!)-{w!m|
zw%R;3`nnKN#<?-jxJ<oka=Wp5cnQM}59W)7>j3HJ-7N9gd1~%Mt=g?Wi<o%x3OduT
z4W@5>-t@hlqW0$5B>b6Q!2V0Eva-<82DY9ihRfu?RGe%a3FBYDOhZ(=-JfW|-H3Z3
zqUQ#w&qiVfUmTpra>2gu%7!KcnAFkpm-J9&M>jG!U(R8Z>z^F-JvD(V9jEyCVjH!H
z`>PI}+#J^U&Xe_4hX#lnH(d`DqEh9SB9aL8vsl=M;&WzG4Ity$`WhobsU@qk$2{)N
zVoWsQJ%v^3P%f_&|1+=xTTwfFS@X;+_O&zarnQ<n=zkoFD=KKjd~8PgK3|x{PNy$)
zy)9CM-akoxIpOWt@KNFk_2gMh+lzPU7g-H7{!Kj*aO%P)ZH8iRjn87OK3<wh<rH{U
ze-C@r^#hA-{8-<1Y!2fr$^H4wkOJuqDfFL&`mwEp<;wv}bJ&5&*iY9#kzuNMO8BbC
zAm-9_eu=Ae9-EUgbh+e2hGu8CflcvYEd1iqMfbP`Y+)re#I;Km-bnGyT1bvyDX4ik
zHFXg)>Zuktr%{DxlBYQYh<~w$0JZVGZA(~&nDd=m6cV`72ujuK{=@Wm{Nn7DR<JXN
z41O(~QGw*xMa$zSCNQ;<DOvv4tJpUBx0aNn41KRo_<qTn!cyMlCLcSyjxD*k&z&Au
zf^!Gq_dohs%znn$#P9GXhWGfsepEvVDtnGN%2~}}iH}C3H2k+QRq;0epu37dx3@__
zIBy;^PpTxXc+)_n_ciO`p9;{Kr!nU!wTMkOX&khELksj*mR&Qn72pf*PI>y9C5*lC
zvbn1wJuG*J<_tfThoruv$>Ud6us1DTSFPVOK%hmzr6C4+Anb5BojJUQ08l`$zxgb$
z42A|X!SSP)&Bm_EflGq?mBf=9n9@;=H-qO{-~)wZ>M%`&NwW`jHrZR)^UQ^NQIR;X
zvz0lJb)E<Zhzj$^*=ayb$S{O3#18i^PEUHT$by<;?1ZH!EtH9b-OISd1&<Dts(6LT
zg7VC}Tcdq+P<!RZ@M}B|96E(h50#Y#+xO&(yZ#K|VlJ=w|9xzoK<JZ!W&*57xy}?A
zGJz=F_S^iUe85+z|GOoK04$=yDe@{T!2a2~h)!Doq#Sa17flH8sO^U&ZXXVO?8=6>
z4TZpeMI*<Gp8yicQDe{2*nvaFPJQi)2)Mly`c7Jx0mrhtHJ25*z<#xm&tO0d_TI6z
z_Fa^LP+vyhlvQrXJ;dGr>$W764TSH%%uE0xk^K6^EnavU<3IdSSqiKh+otf^1W4I7
z6TBqL2j6P{?jco5!`6u(a?%e7U~qhsB(cB`n=^`Zd2R$)qual)XNLf*HnE)%V}dZ1
zclrk-kqF#&rb3sqW#L|2@RbN=5#UYnbP;8hhkb!F=`%NpFsH}4bNZkdaLNg;c`+%1
z_?Pt@;m2}78jrr4*C+uRL*5MUgq2}iKZM!ypFHgEqh9nZ!^6M@+RXw35@@$MGnDRn
z2><ii!AU`B(9`tt6ILg~%Hb8yxiDo2xGNmQ_DBYTq+*DB%qj3e?`}!ZFbTr1^KDk~
z%L0Bx_V~GdYT*1ZlS`?C3>&VSCnIu+z(FbZ^2gLcuw|k5;z>0abUIdd$4DMnUTly*
z@M?f%&h*D_k_LQZd|==ERRNM;&rZ9((Eyz{%~LaqTA;Fg%ADqi5-2!}=O@W(!oF6J
z=&;v;v2@MkS6`Ijk!jle(q2tCp&o7#_)HJ(RJ`*y79zo3&cBVZyMAAEL`*zw#{j;K
z@njuRR|P#6>!0mW8esSirr({wVDBDo%4cRW_%kX-OlI!>{~z976zu^JvBEt*V@n2k
z4_#+xXEg{}y}GdS&lr6AOIIGB-}U8qcWbwIWH>-+e{9%m0#R8{mv>yr@H4SKJGw*#
z-Wbq^+h&@A_f){rZTzlJslO~>j8uS+P#5!`jv1(a6N<MyqY6WtUt79#WI^&(P(X2#
z8AR+?Tz1zZfkgbZ6Z=Q-;GF-|iP~reJzT4-`R|pXv66l3#!X@PDSV@xq0S68%+K{3
zu_?i?7Rj$Ftvt{k9D>h|GlS2$kK@K<6(H}aY3#}nBjo0OnY1@GgNp|Eh90~eWbPSA
zH)dVLL=wztoVrcne5FKi4o((m?85f^c^8abpxgiZxsxfpc$&?9XI2^>!)6*{ouw|n
z=c%`9HG%ds->j;B;UPi%LA1@MO=_mNEUS=_34|<*yL_(@hbldvr5iwxNcoEG4__L?
zhz_@d@}Mw8DSjO`=wL!wv7he$5i<s?s^yQPnE;Fo;~A`MSy9n@znl9X11vmJta&!d
z3qeUrhZ`4g$So=(m7fh@)ANJM{RA$U4rd(qn`A?@zU_9+{20t9s}{13vO-7H)X{IA
z?1(<jHgHtR2x8QjLe9NmfErw==f@y+<T`T5(^Ah6%37b|udva;!R{a%F;{j(cusf1
z&D8*CK1=XE%U{9f&JG;G@w1}?O(lxwBlThHvIu{U@GKTg_%yLl#fAo-PNZZs>Otm{
zQ=<%dLl{r<4;vY0HZ)VSQmMeI2XuV<GYjNCV_BRI;eoVlsJ@CN$Lx?UoR@z-*{AoO
z8pLLntMCqovScsFnCI#MC0q_y%F{=^U_t8Qi^QP<&vIfstqv4-P31Cw9;JGUiwa%4
zi9;3DWKxB@HpHhw#$x$2m81Cifa>n~+RyXq@L3BOjv#m8m3gY~Wu8mK4>+V%@3uCe
ztpz!Fho@|Nm#Lo^ukH;MXG2zrPb3`*G@(3-QtRTjMqRqI9<`Ouh76;QI$k7bf^VMx
z&~?jA>cF>!8{_-gQNYp8W}Yk!SRJU&_{_0GjT-Uu36kYN(_W?<a&j6F@CFw*)K7z~
zgn)fSo)cX;%hX<2tPVF9X;Zeybchg-YqD_WLXty1CPlk>5Ei)MBpyPKPJZF2UOvK&
zz7bdVVx7C(UzOJT`keuNDc)d`k>Np4*W0v0&Z_}qlenF`Iunv~f&N80Ues$5aXOz<
z4OmD$EuG2CsH3I+y6q+}n)4rYT6#?ZclR`}%{{E>SH*393O65WOF(RuCn)gR+$=HZ
z84f))*mTap_|X{ExAq`E1zuk7;2AMyM?Eu1j%^PGP(#3fiw5mv7^GJXc(l!dN+sUo
zzAXtNtr~IzQ!E*@nzmX$_i&-AhYu#Z0)>&k?jLW*-TBY+f5rXhA2+&ouzg`dP82<G
z8(N=MBg37JSJDU8cn~S8BbaGk3>~->qh88GhLL>!Au+K%D0;Tn{nsxEq+?s)W3i$N
zLKdP%W%hh%V@H<t-&H)~{qkg_V^|dw&7651Gx$-w{$JJ6NGbICOy}ma300`K);=f2
zB#367547K}kVcb{LM~re$bc@ToLmnPLSu%#f9YprP;YTej;}Hq2%qe6w}eE{X{LB7
zW-VD1dF%w;U3W6L^$5_7Hj1LnhxBH#VMJ7xTk!JROERcA`Npn9iX(x$$u2)f<xoX*
z_F-!d3XF)HXZd+n5;62!%L!R2Aj+NP`ObS3_+;TXv{8&l4-;%oo-I^FnoT7y%!Jgy
zuRCPRyIcw_<XuB=IFu2yPSKKXqZ)j@dFkiUdufzGNnVILu7Z@}>1S7>)nWVO^>u?z
z8HC+GAT5<fLT0WPcQpJp;L;OTUyXkR#Ghp};#RGSHgCLJ9}3*fdmf)M!7W+z+4(1*
zfD;)#x){_tpRNT*?>Us8WRpWVM>=JHRgh8LmxQlEzqFz1nY`9NPI>gq^>JX#A{l9(
zvi40<)rIvI*8A<W3W)zfLP#PT1?3s}Zpg*z!T$gN0RR6Cm-j!_4HU=il|7QZ=f%C3
zYme`-DoIAlcoYqxj8vi|QfX3@J<^g9nnud^Xo!Z4%v6Yyy(y!|KX86H=e$1e&zmwC
z@~-`>1}<KUu92Rn;e)V}Lw!tUu;*d+&$uj2Jpb+HblPJYRvdir=Ey;FP}(8N7Hdes
zjixfZP6Q2CngiDC@34SPIc-}8^C{?5v|BYmpNhGP=0@Aa0V;DFc2o{iu%e`w$u3bF
zhjwo0OMU{d7+Bn8utdQL%Pj{#XHn4dTI|csge8nyDQ6jUP>|z~TKmjC4OCcb%aQol
z63o9J;_!^7V8l+Y_5I9hnEUnR@6-HNpwyG$uQ;uV6}pn$b*GfEKP@Hl%oZz9G&uC;
zn}H@?FJbXlSX98*y;Nm5Yz3p<BD`Ua8ra7l9(0^V4o7Mpb=`<sox?#H=d)JFj1O9+
zzw9LO(U(KksUcPn!!JN7S*M0S%4Fwae~DqdPSMTp_EvCJ&^5fiT?IYDwK9vxgz(PQ
z*XIhwtl(UL_w}xG%Gj~H%gDWr7gyvzhq^Ud!pswGKW>^5S_ODhb6#;^#v!K?MzkfU
zw(FGlw<%z(%9}j7+srs}Eop<3iY2gk>?oth%Hs*=M<R(We@P{~m!h6;0P-74EN%wL
zV&fO>+djNAWY0X?zT{m1F?BCP{U)Ul`ab<Ny*x@rmDg`AnJ3`+`n!MXlO@nEqlcMx
zcYyR)5-*dW5MXT)S)}DHj<Vt#)V(=+NM4gIL5bcLAnX?J9O@*7u{pk3Y4<xwbqDvS
zxhdvwLGbu*tpg&+y?AKu@|n-%6V9YPZcSz&ZI{jYy;KO9UX2!bFtw1(6_0QG3Yx+B
zO<JfXD~JLA?otlrw2)qEr{ox}rf{d2eeZMtAKtN((9xM_CF63BGA(48fKOjfcKiSj
zzRV$OxY9exx!L`#FNcg_(`WvZTZ*`FZ2O)$dxvl2k$7)RFgJ!N5!TByWgK{Vm)D@d
zU@v*u@Ob2gWFt7zzTC;e#*WSX{$=<6^pp4V6h1Xh8iHq~$LEoFR=gqcG>@<wBvUy>
z)~wlT2%33Cl}1i1`21e#nBBW!GP;~#X{#`RA6Z??>Fb%Xbm+0swj<-DyyKZ^VI>1F
zSS#Dk7Q}>BncalV%}KI6I`{G2M12@=nX-zA{zpc;4Jw^WpC<3@cJT;f(}%^S*RD^G
zu8^;vyH0GnJxfx<nX>{T8KA~oS@N)Qnaq=#!WnX&B)8JIj?d|Vd0+aBto1U<-@X3*
z`^i6~?%*rMt6_TJW|G1m%D+tN7@x>%GhHH!&X-)iyPyke@)yr^i!YON!FL#VbA|k3
zYN7WuS{HKnE4_B{S|%wSZ&P}&F=1^&b#gV2E|k@B3Pp7;lkZ~63mkqk;}pwp)!KAA
z@DH_rD2rbqIrPmQz1Yf%=H?-vTD9mPYTFRQ8S#&_jd*#OwT%rA?utxVeno@N_D9e1
zZ)QUGqhC*`9p=D52l+5pZyIb&z9XVE&xGt}TyFd8aA9o0z9&=5ROq<&u&V3@GsatO
zQ8!z|gH`_}*Q>9mLg;Ve{KZ@ryxNu`w1tlsok!RzAEfHQfmlV$f?QTSll|A|lo3B}
z`K9-rYg!u)C^J%hNj7x#ItAey1+g$GFZzSKHXMy)b$4H3N0l|-Ekoml@biSum5O>T
z80~z2Y^OITZqoNV8aOJ9_CAZ257%pfug3T4lzuLhGE9VL`$h5NvCScMjTBhpH=MEa
zDi4+=lsZ&$uEoxl_70l>3Pf-n8g}sI#gAsT4j*d8u`bQpt5ApnVXyYg(f09UgOc8p
z&4m(p{gD{gtM{6)kauI{-zGtnkn%YY@k9#M_ogr8r)xrKOZ%(ekwTa;uq5d5O9s=1
zGHV*6G=Xc3PTBuf7&A<Bvz!&>k@_cpQ6y3mYII$`2vbGz`$^sDH~SP&`QO@2Ro68k
zWvanr?-Mc1z1XQ@SEGn6_C>964Vti$x|31mE{+GaU(ILJmGMK*0zTHFz=KGhH-<72
zc-KA_d&*Ssm8Z*@rN<O-?ypO{!6LP~AKHU$j%wKY#>+1;KnnzJs&6;smO-;=ZXxP|
zI+holj$+@c4YZd#m#)*~aOqhHZZ6iuEkBl?P>$+=W#{!9PpagRT_xewyuTI>?&@j%
z)<K1*)a%c4M-?!+m)-b=k`Ag)D#yAZ4W#R99x7-lVR?Tq(~TA?Lbv{yVI>`;_Fqsr
zd_);{{--FIP)5W3qD_3w9lD_Uvh!X0OBGzVRnv_%l#bbbb02@mF+e4lk`X1WhKZ?k
zPE8?Q)Y<aYi;UL?^;)7jXootw=)F2@m7t3Sf5WrB${9l7=998lvNZ6@ypfOfcU=tQ
zX7olh83B$q_P%_piJP5HJd0e^#i<HTN$X4#U<@DgRcNE2B2m}t{Y4k;^6%~0a@Y)7
zhR^!{SFMGwK3j)|9@9nXH$lS|4i+%LTIXsJu8qEP)R#&vbnKCgayY;TkVQQ;wsk=p
zpBd{B$-im%f$42(@J|4vGj>4<COVj7aiw|SG!^Rv>`<f760RJjPYoOC;QT^N``dR~
z`1V3t>438p<knrv{xhMC!LxsQzo7=+xN@ptdxsU|9W(qSzegLdZPJ`+J*|qLm*y2D
zO{}4$PBrI2k`}5~8A==IDdF+>9oe&C)-Y1>@MG>-3Rd&4J;V7$4y%QJ#xz~FhHQhj
zWN{l!e9yP_y>F%j+PYY?96V(WQG8VvZ`##SzK@W()hvS6!}?jXZq_g(pm18-UJcu<
z5~-Ul`0!lyW#9kAtigm?l$gt3<zuAFUse@1)cwVNrN7z=`ffaz-?FHLg|sVv+3yy}
zDNb+ILJuntym9=;QF}#v=igJJ+VhJPxhQ#h!;mE?MQ>(=-;~EeZJB*^rb^O=e%!U-
zh$VaxsLt-^ltoqE+ja-+x(MH59l6Ct0Cla;T^19PnCsq5*&g|uIDE~&yeJj`3wGx`
zVqJ%vYw1%Zrjtb1SjL4I9)SC;Ien2E#PD9}`G%dYGlY3C_n40c0ah`J%%#=BIKE?1
z|M8|dqU5Je60?m3n3X%uB<>f)z3H91KYGp+KO^^;*7%wOcNoX7-^sk#yP<oVdgVMZ
z=gObLe8miQe&KNEdBKHi0?x$7Ce0I!g&SWQNK^0^H>7B<XUCeuV<r~7^TcM}8ncyo
z6X@jETl<#6g6z|gbsV;HgucF9gpHvI{HnkHp7YZR>C(eEld^4=*i|z7!#2toN~j!@
z#sh!Ig~#vN;+$uQd(Y(8->f%+&;{Rc)628uaHX%0*v4ssz2e4;IVmGhz}Y%l*(B*G
z$@cZ9%@o1#-`zBP*bqKEm~3JcjgY(#tzYChO%i2S@5O328Gu6<RY0=pC+T96cPA%w
zf*6k&<_py`fVt6a0VSt<$?9JI!~pkkg4k5kaX3RC{3HU2UEQ4|Wq*tH1CB9bz4DQt
zf7$iH)%K`2^?egL8KU;6Y;uH<mh2R44r74vg+Z>Jo^MDCR<80GsS)C1V}SPi-+I6m
zMk~h?4@vFtt(v1}h6&oByWxvndhj8nz4-3%H9}`9&{s-ln0UyYcKP&IU8p@3@w-B$
zk~nGYv+Kp$VM0(j%Vyb27f!WI<M7ir#6bR!TOJm}gomrlZQdR_6mrT|UKeX1-keEo
zjJ`8WO!9f<rR<|ac&hCe@v&wi`dwDU)W#9Q@&{*W>;w&hb=01+q_q+6M-Cd+QAUZU
zza5EZQ8b8p=XZHnqKnw#(ybilFh=ORW;Cet(_kH!#i56%zY=fsZ>Z>(juVBZuHNC+
zRLE*xDq9HcAu>mL(70fN=$`23e|=B~j5G7%6qNgjo-cFLHCdAct8+`9#2sz;uy}i-
z;@b~m@cF0x#gC_mEkP;EJHBecHiOiq&U*ud8RdIg>-aR0^0<mGQd$fCT$gzpeD)Wy
zG01q=v8}U2a@On)?_CsVRW28^i~3D8pNKnc-8)Bg`JcbEQltr|_qw(jCl3?OiaMdr
zSqp^5m%WS5OB%pC{N=e?%P0}$Hu~7){9nRAtF_$2MFV`2{L_<UCkWTz^DGhtO9XYr
zCsw9J9a5@nf4&TyB-)wdL=sv55i`T*lu88DVfLBKvt#X3L_aYk9^AkLQXU3uYT;_|
z@4t*^mb+(&YDFK@0CN^lJbOg$LBA>tT+V(yAUH?tla=ZC+r$cTGtE0<+*KjZ`u54l
zU-N|Ol7dn76?VwsiVx{&R)Kr|ls`d3e~7j->?tM3IibpSlZB3}3N)S-c0Dh<L{v2W
z^3Y1<2D(avNN=|?>~alsV!E(GP(xJjFb}PPFXm5D6M~ds&6QavOl5*M2L;l7Bluyw
z-uwLohcXPMJ^N3Bmjy(4zqhX37K9Ba4QZnVN-#?2dHdrIE3A|g6G2pA5ZHTlW44<T
zq&`WGAbr`P#+uvZd9Mgm`|Qkf7gB=tL622ZTsR@4ypFoHS_}kA{hwinB0MNLH<B5`
z4U<C`wX5sI;lu^G#D-EuczE%FlS9oKc$3l8m%%0p>!fEg`_dFab(-m7z-E4UWtkHY
z6DAGM?gw6MOHl;D9|GT}FA4&abhUrCtQ>eKZQ~FsR)lJQ%fdrK!mu+k(y*6V0qQGc
zJ2Sp3!t`aMOSaENAZ(y*(Dj-k%yed7VCX3UYw{M^>3A_vio4i)(MA~#S-x-DU#tW*
z{;>-k=fy#I!Es%pm@357Hn`k#RfZNx_e_pb2~d*zw(S_ZI*4RurW?~#fG%b2#mgcM
z-5OU_R)jR+PD1wwmyN10e!y;~DpnTGc=b`&8fpRUqpbDFT{U=DaNaX8O&+G!Yos0x
z)&Yk4{gH&#e>;BVgw%iRir{tYJ^xuZ8oWI8+G*U40@jU}nD@jffpJL*jd7F?e;N5H
zPNX*Moh$orX`KoTSjM=~F6n|wv+Ru1MjF`t+;1CDt_rsk(iS~0>w&_Zoonw6(xL6#
zS><job+FE&%%=x2z>?2nr%%ml4<B<d>1EOcnVmZ4RTcE1%Iw%0&qjTC=AzztBAo*7
zMZcdgO4Emyx;;EE1dM=8lviw#)P|f}i?3x~>qDl2rQP~46JQgLsErEOfxv9`x6f1c
z!JTVu*WjcX^m|b^Q*KhBBzb{%54S#Sf1t6%c8Gw#w9vZOHZ-u>9dtQIlmVV1KgQ_e
z0PJ<DWo3ypSQt{7#424F%-Jl<DqsbjOriVMJfgvar~5A4<f4O0_L6}kuQe1sI}k~`
zMS~|MJANgt(*fVG-Qfk@))0_xr}5c`26&_NQtvYjFuD^EoD*RKj}xxz8-AmLO5LSM
z4lNZp2pQ5ByKSKV52`8L)B$hamj<r6^02u@!Mv5r78=$baY_=?hFQI?O9S!i;FHv{
zRuZ!<eEr*M_SB97ykoxvsFwu6|8l5j=0_Wdmx&kK<Ddaw!&#>LI#^)nMT^A2FdKNq
zM0aVWsljfAD%q2PLj>(ax}Ok>4Y;;B6rN>O0r|D}*@a8H$r0AI?m{Q5q4q(Eo?D9|
zh)#IF+LAp_zK;GCH$G$q#W$NL1n<j(e7fz8CKDD6_WK2IT&>`GZ~5!>Ix^sL%J-Is
z2q%8aXkOB*wgge#6n0lb3HW_2<xx@!51PDm&OW7S31u$Z)wQF<AjecN#*>8)e+rR2
z4VeJ_qxb!W*oA>B=xLwZReqd(<lW>f0&qC^cHC$_9~Al>^8S5T0QnL+^7NGmnD}0<
z?bFN&Yq@#aojL{Z&VyK<SZxdN{x_-g=gexJF!ozN8W6yHE8X`LY|Y_(z~dT|uth>+
z_~^c?<pK!OM?JO&n1QoI-21I<Q-q+2ebog&0c=VRuQW<G1wST+MIqxS(M#~%*5Vex
zL09XQwiXju4%y7_`M8m2E4}!-zK9>CZ41LUt}}s*&szge86z1gCGx}IKYkp_Pyblq
zYYbZUp&`qj-^k0HvmKH0{CG2r>uOMy5$rj@V_2;9o21?l9`Iw~M`KP+;ktE3;36us
z>88Xa`8A83MUaCZ*;E|ZZKDjq)h<%ZQg4>5rP^B<QTefnU8n2#paBGb32ZE#Ss-I~
zL|-V3;m1SgQZvLo4d8HdlBizr66se{5)rk;kNF!nmwao|hsJtO?XM;O$h+Lt?hbbZ
zQ2nTXQ=X$fw4G^cwBOB)>esUypO^_EU(Sm??kx;>oMp(6{KkSYrMuRjs20SKfRoB2
zUJRJG{Q9)Ui48Y(oKoX<7s9pTQ$G7g^gzZ-&-5wDju)QzTpHpQ#(<RQ<e^h~kWzV;
z{U4PRsj;cMD?bY(wRZQ3YchJElOQp-IgbmGecLJNN)as14n3Vou6lHZC}l~N2b)C?
z@x3b-MK#Xwn|A)Xz;!6~yi(a3{Pv#e7uO_)2TTP{&xz}TYmwc@EH^$pCMXss&nb@7
zeJkwzpXkuMhiqFTAb{&W>*O8qScj~w$_s)CbjUlI(LEU=h!-zPup87%;GNn(Yf`t-
z;kMcA?I-($uuMVA#mr3#cSbpnJE_uP)_s$cN02a9$SiqEu*u+>=Ia4G%ye)XTF7xe
zD}qaZ?fmGCvPkp$`rrMZH2BLI!7^1Uiq%urt{-;D<Cps^Ar>90`LgG{+kr7L^yhXJ
z_`6#H`_vZH2is`yFVJtg#!?)kCL(n;!xa(t$FG_EL4%*IVvlMH*P&B~G27X6B_y0H
ztw<(1Z0A-k9n+A+#6|vxm37Kk@nLe~XB|55SC;HLL`vb?+bNcPEUK6@T3cHiLWi8%
z%qg}5GRTzJ@91l*hNqZhJ{!HELw%BAXEQ|(eNx05+b*l)JFk~T^)y{rHocudjgiMI
z%r-(@pEZ!ahpC78i7up_eQ}X~SOKkyugGz&qhRGzZwq55JxEiz7{5J85oKSgcYbr!
z!t?nfKf*W|FgX0oG$v39w@&fvS0B;FhLmmDHth@u$}|4H6r_xmjC=IIQ98KSi<W!o
zr9OyOaP>w7tKjEXaT~dIQ?c@3@}kFE1F+wHOH6FPDqdZnxcaT3VdwZGEdOB$E=yH+
zO}*4`Pm^>JuN@6%O>GKKh#JF|5jCd)LLD~|kM2qO(y-a#NETz83B;~<Hn}CBfx<;E
zzHa-EhCEL^7?QcB@Hyr4?#4G77-_-OaZa6vrylfcQ^(AJ(_@9T+e;H&|6Et8Pp0BR
zub)DMp#@0JdHufhNfWI%nx3vXqk|PHMsK|i6R_+09&=X-3ew*vd~Z?E#`@gonQNN?
zJY#hg^9?9yn5J3(^9TjA-q${NXk7Ivbsq^!6$*N8e^7tpf(EvE7QMH&v;=kk|6I5B
zYoeD)dclKWHN3-nN;N;r609}5s_z}q#1H3A1UE8N@ZY<!n0q~zkas2FRceO@3WldA
zpBh!fA#0tv7+x#LC=C5FB%*<P4}AaisX!jvS9WN{%3DGIvwr>ziaNf(T%+zYC5;nT
zY&nKxtRSst?o*748lHQX-el9X4lQOIIV(7<AX?kPhmA`W*-xD8+s-D2LmA(P4t})+
zhgzkzRh`OsCaWN1Q@RjJan+jl-m!$ox1OGsx~YWEI9&%KsC+oB*Bv+DZ3(A-b(k6N
zRm2~E?&sIDa$%bN^rD%NC4A_Y+L@%TfKJy9+hvMav3swMdO#Hb&Af~6>wp{zO`diB
zPm&2EFCUK1@Bz3@TUN?SkioGE!JNCN|B}64iw5~D0J#_5={7h^;Tz`4R!iAAGJSsb
ziNbmUl=>bX^<+q(fGYP;_}3}2d!(?MInDwcY0^wDjm2>~@)7%%j0ti%=Wt+UtvNhu
zJI}XquNYoV{Jh@8dyKq}Ef3SU%^^5%K}YVX2vVeH9{A0TkQc&>Ud20_L8?$(bgGsx
zUTKi8UVc78W>DA1nyhkUndi2>{X0QSYHg9uj~XSd?*5hI{AIH0;{k83N($hYDTSbE
zo^jGLq$rPWYy$Zklx6o1@}eZ0qf*R`36l32XF%5#W3Vj=j_Uc#gJVC}MW0-rBu%ph
z3;BkPAbwv&rpFd;R94FohHKNL!;IL_yG=&mcv;?A@H;1-gzdxuw^{OZ=~E+~QbV|J
zA?aXTz=0J7i3RG`^JG(ii5Q9-!if#n)#VG=F<M8ouEF^a$*-X#*K@`IPEC)0G5^Ab
z3@^&w>oJSuv}xkP&N+Rsu6dngXU2xQW$Sm@H!PD@X)einf%@=a{b-|2Ju5b|-BwAG
zVZy-0e;V#T8L)vR>&@wCRwS>r*_-cW#;Ez<z3=uiU@7{~)kj{eSn_XglIwF8^oW{|
zNcg1(^8>@G9XnZ3oA0;6VKp{fx<~y~7_0|vjX%BJ&amRajov2L?y+M;r&gTyUtRc_
zF<3hGo)wSTHifbfoT!xF_C)idF35Yw_m?r)Fu2p-)qR2syA9N;UdZY~!Ra&l3e{}L
zl%(DpT+M?)z6usR6?8B!yz_0wj~%<`Tim_w^Wu0eeXIF)I?O#0^53k>fo&)IKLov4
z<>_!$Z^9oMm_FbrO_JfnrLh}>SC0$gb9*mK>(yRpBeC;Av?dpZPCs-`EE2-_E_tb9
zCmLK{-o_^8$&D-a4X18Q3!^C4xocE*8tlJNIGA3{gT=AsArD+dG41ry=~FROkX3fL
zm7>av)lc2_V51lo3tyb<U|aQE;2LVE<-<7{uE=)*;>ZZ{s4Pj-fjr6F6_cy0edU0f
z?F$77oY<k7aK>B*=$S`?qF)N)d<~g;;IAb93+bwpn$?D?G28Ic79m`!xn3MGD~(+&
zjFA&H+Avxk_^x9~7>C8kAPZ4B6cdP&`nT%Kdd0C+RYDXE1E*ZtisW%2;~1;sEp500
z5`tx!Vz{z=d0wDL0gFQvB91)QUgd0$)g=*e<nh`bovNyY%4cn>TIaOk>$+RB$L_7e
z&?&|HWha$!PyF^3gKau+Y~MvLL3c^4Su5cu^h*U*a=Xo*e9?jAJ{yw=6=^(N9JS`e
z4mE6L9^-kOKm|G+D0CB$#rV(-LLa}W;}hrS<$H}+_xx$?OBWt_Y&@SfSF}$P_bnbW
zv9De2{nH1MswEU~dEoFfpK%H*f8z|ZIY@^J?X4qW3`O++`%t<dR2$PzdtKOQtP97g
zifKFDmC)dazi4K^4i=KFabFenVB?2@nVYf7=#`+Y@=2D4)?-D(9oh`wE=ljrC{;m8
zO%8@l1r5z5XgcDa`oP?BF7aiTDmL^_9Gfwu<3OTCns%N6eA&Ohr({J9lk84N*QL-=
zpG*6n%&PBrPe&)qifQ2Voe<gkAL+PgAr~Ni)fl8c?^Bf$*Tff}&Wnh*(NXiIR*AEs
zDfpI!$mlI=qNs&eXI>#4hl0I*MP8Ue5^siS1G&l@-SPkGHqbHkhEwwRHVb&pTlFl>
zO=~r8caFN;r{T3N@;9t{3Apl8H*V#H7OD-!_0K=1qHI9y$FKqbh1bcC3rDqZ?YVeA
z!6I!uww75t-O&;lCxx_@`n2$scWbbt0|g@;G8(?Ea-m|T;-Yt!7KZZ1*^ZT{<KwI=
zhfSQUpd)xZB1TdR+q|Q?_pRPHfjJ>T^o|usuzNE$`B2cJzFzXUfD&%=xg&q1!wT?u
ziAUKXO{`!^+^j^%qhH&uu!T`8P|8fNJLs-~bp^){UJ;i<le#_ec|Wb-{t9pU4heNk
zxX`Xc@~uVok_nEKH&#&3*zG7(t%@g?JcmP$3t`sbq8ITAR^T}7w%guO1zi;O@G!pc
z;DP6rCv$DBz|~}pO-!p2cJ5cqz0}Q$M+ncBwlPbP;dz=J>8^-2tk+oc#}`SyIGK{s
zcuUZeY)_K?E{}P(n>^3L6#4UH?O`odOE{U|u;cJIS-dD!7I=_#fV8Pe$#Z%J@XPn3
z<BFs-9{YH3Y5#H)IW)>Tb#b*PbXZ(j5sZ{TCZ}4p%L-I-QJnRy;0prs)s+=Kvx;Nk
z&WG8)N%h1y$GL~>KP+I5nm3qJA&T@`o>#8ct;8X|dnyII7VvE4d52M^FeX;-t_{=e
zB7(f?nAe$_gT1<)nCyK)d=%gQq<dpGA!S<Bz8Gu<uYYNd#kTU{eu41iD1~l9<(iLF
zVZJG(k{%67MLf7y$z@Iqx`<8J#Lt-zn!x1x$3>UgIMFt}@y1@^c4GT6zP<u&6Yx&!
zGkf8@n#-r3GK8m^3Hft>KfH@D28!y*;u&#PRJZ2qd*|?h*mu6uFSy<alx(=htCW~g
zRq$22TyqVvc6U;dmz)voU2vnU`@TYsj21^bN)-{F=WN02xFK-%MHdYYFOo(%w#)Cf
z-Xcw9vm^Dp3}DB>`HR7O{*ZJ3T-iEAk?egvDD=d_0HW*zCP>qHGAY8iaw+pY8Q51k
zaPOWz+?Pyi$vrSj@^5go5RPvlPo6VfKOm|PF+uM|l82_ru`pNDyEdKVE*aByn>Ys8
z4b-k1dN4%>j|(|8%zh(1G6Xi=Uetq2$3M(gmQRu!vOf$Tap@zk+x}tgJ)#GPB#xB-
zUYH>N2LJ&7{|uLRJk@^`#_f?U*<@eiy6(NMJ-)|?N+mOe7A4XkN`r_bTT02wN@S;0
z{Cqz}B9c8)X10)7=Fh*+>%5-x{B_Rr4p6Q2y+$0t_rA*iIQWMO<(kJ0<SxzOoUiZL
z`*4lp^Cvg<MS4?Vx@{J<?wZ4ATsJ~LuTJ9SjfGNQmML&ZLve)AI*SM0_SEuU{f!r$
z2|IBwfC4<sr<+_GX7MbRPvJ@T=kO~s><>%XDR5JQeN2>n4%h!sk;$bnk0&lr%k`g-
z;rc6oE*q;kysn<~<xJ-SZkU#+Euu^YxsJV2bCq+rX5WR^C8<kz?c)`_TLEhDZiUyL
z&*BeG?T>FW2wuT|9G1Miw}=FFdBdM<*Z$z${Ic<hVgK;@Pkz18qpDDK`6@%_*Lgg(
zPcT2_)f)b>CJ;L$rwYNgmf?iz1zf-?fyak^6E8Zqbtvi_5w3jlXFB|25r0D|c-(AG
zhp3xRCmdg?zy-tNgLR_IxCHwZCD!NksPW7~YCDq(7$ir(zY(~C^IHfzgv&4@-Hu~-
zC7qSwV_aTfHP1iXGF0nk4Pru<ua0?Ns#JncUmeNb4XZfXAL#26!h$@+6Y{uam0)+v
zYw5-}>v+tn#^K{$Y>3hHHorrhBHXHo&X4KX#241T*{w$GK&Acp9EepBh}{xvYmeyA
z-KQ^1zjbpW@_*f|-Jt|HKw1qw*-wvJzgqHsapFPOX}lXYJOmJpc)b2-A0w*%DgIvq
zHy?WN;o*1Q3<W5bo)ix1VnRR9OMU(v!;ci5Kgo%M0z??>Td{~_L8FuJPEODSP^?g7
zU*)7cnB9p{IeVTB$vN@e<D?fv8p!pRf2KSH<kn!pemjuo=|tZnD?+GCFReqzQyyB|
zUUnpubE10_!6i$gqUgY)YNDdKJj6VTxbl_AgAR|aP10QwN9&iQF3)Jn!><y*<1oXE
zew_A+Ik_x}sAo<&<{QexSisc}56<u-jgsf@ntG&=MX8b<-)VWcP*&6PWOFAP&&@Zo
zv6VrlRf*TmXK(um2M^q=*o6e_UfwmDl0~_mtO?~@3gD7YXQP`cga*BMu3bx&M~{eI
z^aalpz^V6Hdgu!gG}$azI^#(|A(An&A6*HMcvG}4saFgwoqj%a$yNzvPhZxSKcxsU
zgET%CZArwYU%H`XrGhN3Y5vYgQGx<7*k5#93T5??+2Wj4k?+;Y@7^*hK(z{VUN4hI
z?E6_T7cVt5=A3nIV1)>|AMayE60%4>{tnYGL`FKcD?dKTtHFrZmipI+a%jmUO6~}v
zpzu(3g>yY*5RP<cEf!Kh?R=>bHic9)Hx_%X+KLJsgZm$cKO>+7def>~f$GRRHFIy|
zx;ngkm?n8bQ3)A+3VFt>LPOuJj4HRfG@yX8_4D3yWn}SA&iG<F4J|zUTxZ#@1w)#S
z#813LbirgQcCM3#0^Hl`Id|xSZy?D#&`}i)U9tTpj%dg)N&9Gvg+72ol+oTBBvj($
zW5{buLzUC!D^3p$;a&2tuVE+EP~(6||7Mgra&6ywBYh4azO!yZkDiR~c*I8gU!)?>
zd?kA+Un6*H==hXdg^YqV)b5+DlMzv5WFYFSF+92<8mO#HMu&gI8lDLwA=i+wl_{zT
zD5PdgKl`VKcK`D%jw)70@1Hrgj<uS=ufWvv8D?sz!DTV<N0I^xQgBF@H#UXTHrIo4
zKti&+){{?MlR+zSGbO3FO=07}W5?ndA_`>RLpsnaj{a=id=M063iFi**=n3s5M8#u
z)Z;z7Q02S+_ZgQ>p()$qRNYf0bR)NR>&a(MRI-?~BU{ZB47i`1{QHW4jzxyJW5smn
z0Xd|WV>{1VYrlD?a(T45)UenaHGz-(N+>*i!URl1cIU5_$f9J``))UxTCl#Io5vIT
zjG>JL<Az1jNI59<)w8KT7;&Qcce0%^WOX&{Jm$3<y{jLaJQul+nS;n{m3kwv7<kBb
z@1+<DQL_D`W6A)E<LwTe`bI#Fj8hR37DkM(**4_mnPDIy&rtFe0E^G8Q$&>jG8IXw
z7!qfN(vEPhOjQ8R^TV?inSAI)dja1mM>ZJuRu6q~41-rCqXAB_T!<kzU!KCj4!~TO
zf}JshkBpScKS$Zndb(cS`eAm6tErz;zi9wzp|%Gq(il<KXkgc43wF309220MtPetk
z*?bSnH}SstotHcW*rDThZF9|MJ=o9oVqS)81$Q;WEZ7knaPD~HA-kaqkBm+${Ugoc
zwe>Y}{m0pW^ukFlMNb#P?L^+k?)rt#GLT2xH&|hfT)!jWjt-pg`}WgTs}(=Um3w#Q
zIV-#;+3u8T(FW8g7WXMF0rUTF?m^cnR^XF3dv{hr8}vyB^AFOuVFFAhZO$}S@KdUd
z^9<Gk_L?&|lgA(?O-dnsmth6#T2ob(QBBzMIX3Zk+&JcVuZ4D>%nGmWIxn^y(gbB!
zr!s=jEG8uvyx4wX+y85Gs_=gr(Dr0Of*3K6dDY+>aiy$q?))vsTCxThXG{n&*)3t_
z{CbWQWj5Gvt!+`9O9P@`7L)VR3Kqv8LYVl>26~cix^D?I*f+cI`0lk;Own~zts{~h
z9Cw!IHsq;;<rQN7%*Z+xA}~I~dt(QT{gPB2rmDlceww54{w=Izy!>ZFEC*EZAsGfl
zh0IwU`KnGj@F|U9J=)3%>(AaHO=~JF?rapL=VSmcp|(4^zzt&_QhrY-D6q~qwDxl^
zBd{Ax9#;Cn1NAP^FReo<ko+6;cf~QmfU40dXFD(aateAIr$~XwutI;sab~#QI5I2Q
z#s{fy^KG6qlYu)UOs&<56}&LP&cJDYpjL?Mln0PO=$7dWrG*WaUan3DOA9~-+g^&5
zIvIF}FSr%C?*OixpWkAx?1DyKjjs1U)xdUYS3sO3C(NrQhKv0Ygr$<uW9=?#(8$x{
zEVRG{;^T}%nLfh6nPi@Zt&(6TXR*-rNgkk@no&{}M4>fakS#2O1Yrl;v*#K4Am%}l
zu-lp#?786(f8#g_432bV7!dfu{Gj+Q;-UncRveikl1adQS;zg^$(<n4ci_etn-qK*
zo6=<xB|)uM@74Py0)Q_U(w|b6hPJQO3KfzhaF}kC-7B`8kDoep;kXPaE-5IVH6nqs
z1deT{3IUy`PHb$JEDU+2OZeU;LE;+g<tPIY7}RBY_Hj)PRzDEki)Tnc=5Ba>dqotk
z8wp&nJgoqgE=~h#L2A(UGylnCqd26UOB~GYAb`fh7Pl-ZGMr`f$~y3$Bz&=#j5M@X
z0?q!T3U3p)b*{ejQWq)syT04jv`rZ<6-ex1C2jY&D~b)lKGNXcpz}P&ng}D-cb3xn
zDd0*$KYe0kK*FTy`-M7H=vX8~Krt1%8`=|fN@bz$dtq&?iW>BPcD0j9R|g-SEuGIj
za?m3jZ4$0c20<JB?sug$c+{s~X~duag5Ms*+trd`$GZ9C#a|jw-%auOqd)-58};+I
zv?<^*V?Jp`(*pg34DLO~ijZ{kPpfbk1)ejGd3C00L;JqukdcE*AaBy8d!>*9-l-zH
z(<F5vp5LLN&sZ52Ml$tcvnlYbNyhnHz8=h6>Chh(QGsK{R}1UUQ9$I+>LDr20N%pC
z>Zc7VP~G(C(uE~5D9VkGX*L=H!#JI&oD~r?ZwJqtS&*S*<}?2;Ie>rd{l(X_i16$I
ztL|bC3EnLqY|Cr|s9P?bSwKV}45*54e<@fh2JO9<jKI~nV6-Tc2>G^larjYXaEg$<
zc6i<hj>LO(_E-=>XG(3>zJdT%3;Lt_M~%T|#=Z0FdlhIhcR8xHE(cG`_XIO#7{h5>
zbvpJ%W$>Ntdw|ho;2(oxC8^OE{PnqFrq`8#f-A)`FG|9(M}MdA?rnXA?CbbL5e%cw
zb31$#fs)dYmz(v*(0Q<E7<)>90zo_-%?m(~`J)2KOk>Ery?%rZQ-E0R*9~q-yx<+<
z+BD#147P-zX5}_HV6cBTo%etp{>gXqXo(xcUs3ye?~cpDc>8p95(6VldktM#sWt*(
z`ZKb;6VjkZ>=T@0TEm9;$!VFVjbOB<vpdO83K(cU<>y)FvF}$|&zr3Q$Umk=-;kGt
z8+>KjGapAVN7t_`XJP?jg3`MKuZe-~Ky=T`fDTMl@P*BmEI=mP<@ko*!ca+Vcx+i#
zhJ8DpLD0B_!SUq#)Y(WuxE#MC*&*`|uW_pF%Y0%86b0et#v=ky^RA?o<#Ypn&M4Ba
z^^*a(uUx#+YRM0Ihm2r<T??LI+RB5k=)=M5<FWd_ydXo9S1HqI!wrwhmT!^tVcGY>
zsoZETu#FXApS$0R-wpV**mqtJYF`*R+1=j(XLadXL$PMu>}F`4ccCsk3_>TPJ6YlG
z=Fc{Jzj}Pt+&rjoSqG-BdcQ63Vuq^nq}}S-2&V=-WVvjr1B(Wia+B>CA$;77@K!z#
z?~rLfasRP4w9&iK^Z3&P|L$Zo)sl|E^IVh9vsxgCm(#g?+QOIu5(zS_2-8d#cUwB3
z1;?&RTPHDWU|DplX*SCZm}FBgVX#mW)QZk>)aR^X3PS;GwOsAk<&kV|$6cDRRUlFo
z{PHjM{EASmx7v3sXV^DfD^LTdt2-k3nOCsm0%cdlRR^#e?l*{*vozrQ>}GQ-e+e_S
zC^>uEY#7UAsC^P}ng(TN{=%_O7crYnEuMpCMzO!W)0WSB)Zy|xOYm6T0yg3KeKa(3
z0`u5C<DO@$4(~Tv*M3nJFo7E{j$K33*!mMSYwtEHTsyi@P}n?=Ezn1&=rYb>gA-QK
z<91Zgo=~_?NT0`+lloVWmHxr<l`<Z!_ELbuIE!H{Z5~SxR5uayTELc4JSv}@p@3wu
zx)b@!Ja&9(EltN{30o;!p}m<W!yYruu?dL<tgRvPR6lVAixCJS><cD?9$S9V!^8#5
zimu7tlll)c^x_)YFGL2{@RaYS`imH|W6JSZhc#^T=xLM7&T6nL@9fM|<|Rz4ge`kt
z)&?f8Pnwa5CqYzIgi_Vg5*A*LSbe$Zfc*~VgYs{xz-hp`d4y{PYvOBE=Q%|WMkB0$
zjCQI*WAT&su?PQRr<rbFSo_8R)`6k+gU&=KJJEQO>+L`6)OBl`pEDCsJ@1EnEK-4t
zKNpf`4y|E}G`F)`oGdWBS-~p9zReNQ+@G5THZb$)TrG<sR<OVKg3;1L8D>LmyBayS
zu*ag-{l^B`A>wanL}8l}w21hz8l=!c(7nB>SGhUisD^VIzDEh(ukYOTx0xQy4o5ww
zUgU=6<@4jaKPbXOv&Q~kvW#%Vy+!uz9bS06F=8EOrU(*G)v57Mm|&}nb${VB9}HEQ
zWz%&Lz`NO%v6I5G-KRdje|>EynDnG;MqMF*hZFzl>UmbsHHw;iuCNRG=N5<KBnS{~
zr6K#Oj~&(m1tKr63qt+KnG;2w3UK??nb&&%IN-S5r|&z~g~2t>XrgPI%kDi0vLKpq
zL)F2PY-be3VCwFTi%tOw@K|@?<p)<@u(Yw|v<Q)aka2~vRWAkLZ!=&nuI7V7)Xr`x
zb}66}3P}3BJs-%}@O0T|CwR~5sH%8K!=9%3oYfZ!KtIUUm_8@~4<{|^XGdg!%PaK7
zoyBe4RwVIRmLM3^XXiY+B?rqxk)4re2@vvm_;PNfFuXk~GZ3Mw0Al=>d`(P>kSV_}
zO)yCmUZyAW>|Y^3VAg_ePKP3xrFDII+bj-m&G$<)btyryNgKQ1fD%lamk6b*?uIV*
zBZ}5_DnR$WW+P5T1uXb={m*tw!G8|)gl{#fkPzbd;VVvr5M4FLe=0Jdt7*GbR;>mZ
znq`KzStLmPA`}xGBMX<ZkMN-%WDwY2eRTa28S-L!+7`FuKsL+#KxYF5ilm<3X0N1x
zns09ImftqtugZ|Eo>PHBI!>+DQU}MgfoU^~1fW~ao?1Dj4z=Ypp|3+UXcawW66UD{
zGZed0zXf%;Q#Uc-^j;H&b!62zyOd$PO~{wtk_ICq*O)TiYQt5Z6x>#s2z6fao^tLq
z=-a62vu@XgKo%1wMMqUwSINqw*QUXGL6Uz6odM+4_}ElAlVJAMUUE{IItY084$TuW
zVEP&+>93#$pW)yanIBZ(<$dGlkqHofEAVAco*L}mEJItx6kzJ<4%nSy1QUuk9V~{_
zfIVHi&rFXD7a|FCtJjTTUX&W3@>vZcEzW)&<W+^5i@rX^6ceCC%d|NkQG-BnyFDSc
zN??myW>Bk4Ku@$_IsG9CJXgLM@p#CCj>)u(nYbzN&2yOfhp2+U-&gyVZ%BiweLvwp
z3sV>u!HRG-B809#-fB4}2IZQJR6R>mIKR#(^)6i*1lnJG6E+rrU#YfDnJT703_CY(
zG^Pkw?E)K_$~a*DrHshoF%x*K#AIK|MS#7+LQ{MF>3~=*8>DyN1f(VvQ`BVSL5gm$
z;#AKR#@qGUdcUv<Jgm--iYLp$U%rj=+Rc@?idnq}db-Wa*MmLnOr+t2Tkn9>w`n|^
z_e}H5E@L41srjhXN`gTGhs`qeFMi{w#0Gz~5uARqo<dX=gM-|KWiC-$c<$PxKaMO$
zAb((u_30-ecsRyu{m7F6JxZl{um%C-8J;IeBnUvy??*DNx=hGX%UwWl3xh*fU(Q8k
z@WGSh%m+uEnNdz}L3JQA1_aY8f$!a1@QyjcjI_p#*aKl*OwbUzAeHakC>xxtX!BXn
zU_n`_iL(L}11LM)@<8G|6HK-;)@&%TAZ5E<vt)aHFk&0wKYWr7n%{grRXW3rZW;JC
ztb}ay<2yHH(|~_i5+*vz{djwC=*zvWmAcUW=i|Gn&3VkI@J=~UnUUZSby#vk2OemN
zF6Et`#Drr;`Scr^&{@+Od2EjkD9CBV)vyj=w?(5L?Yqc?IO>+7(jIEVd*w3o6vYPY
z5OGKA-Q7&6nq@1qVp0qIez^bU3(movZ;i@YjW8lLj)}<K=2{?T6=sozx8T}!E(=A~
zjHs%xb;r3}O>lAua%2?h$B%OtTPOd=h<-|kBpUH)!r^484}4EX@C$2sp8Go(QE1bS
z-EILIP<v@o;;_^dZrgX!=@cgu+UKou``H`~7JJSG-j$rg?N?+OlwFw+VQazogBuMx
zTilx-+?mI77W6D%|71e<YK**chSkCSV8&2y?IK?AV*U8qb!IgC?@o@ct2#J5x|1Zj
zw2U_fj)pGkupnKBJJ-)oP$8jtZ`T3AfB3DcfRhE1tcZ_76;;1N1^Snz4Gq*aT-0(d
z%U+2M4fXIJjHjo<dHKp_7wZlD?q{nAD@S$|L@$+=@Q?yG_Ia(GzqN%2RC3XD-t0go
z6H%jwi4@2$(!Dy<ONabx&xcOvaiY_VN$dl4WO#1#{p2fV26T?&3m!bfg)}9YxG#8+
z!2=wge>7x7*Y8$;z1+-$RAiWaRQbqopP|KVUpNyI`NmgDp65lecA_8aZ>T|OSG$$x
z6f^QMnXb<k<VPBxt{67;k$|VQs_xJkR#c+gRzW?o6LsBIo}pQiz)@D=z3>_v;`n+*
zIr_B#VobJeS!`5=+oFYSt3^A|;Uu%1V0A(C+<PQi<ESdII<z&C?{T75T9wIUs}NEn
zzxB3XB0}#?-J|p&+(<0l;_2f@BFJ@}j<B3Tgw3B(DL-v_QFEq?$02_)bau+0bIpYa
zU7XdfUH*K?c;jDwPJ{$f3Y+<tq)UVc?T5qTs`yb}PVo1|54+JTn+zs*B_iCtJl~Qb
zEP%W>BL7D6N+Sb~zW;30iLk0O+;~4~7qSY^?JBgDK^!QD^^GGD?u;v6NRbpmFQ!i#
z3KhtrjQU&?`{zWsVzb=&w^0~vBncn=Ei8{F2s83-LaI<<=AL~jQ54NMpF}AM3dmKz
zdN}ZvDhL`Z{33*iBTntRCv#;L(d#d^ZLzmWK$kO5*@~1zgaVGvi<L@fxkq-gB2W$b
zc&c2^9hE|brBcyzjw(n|W^GgGI2lIL&-hkfmqxp!4>u>R5z))0h4M>c6!^005IK=8
zgKTqN>j}k^kge!qX51<TjwcE9`Sr@8jlum~e4J!t7gzN_YJ&<qPW}wqLh{H;y!pyr
zoQy`A7}6$XX;9QEaCpO30Zo249oKcDpsP-SxeqRCfC{^TT3QSNd5Gy>GVZ0Izkc<y
zv|dfP?s;`=9w{P=*X=J((x_-_<PVkOtTz0Ri5~4AR6>r`j8FbMK}8AYj-;xw>%wQQ
zc;2W<Wz=?bAN>J)Dk^!y?dwyi2WMZU_q=RXLGO#g_Jr|MQBcXC@@-!OP<p9<YcP(8
z6ghgb^y4U~k5|x1UJ(Pu;K+h~QmW|0hu5pbRsdQ+rN1)j4tCFoZ~^GqdDVmMnkwRG
z!OrlMsG-7sPkT2RqwRZ3km-$8MTg%RS+3ftqTCJHWZN%Bu)4fkFTq0<y?dUV()nB&
z`PpvhFxne~>V<BlTa2ox{!O?qR!Kme&yL(m`CtqORwjy1I1^EPO^#|@i5zMnozoQJ
zFag@I{I~F1D(J!aH1B{6X|!OU!Lo;H0v=hqp%>hgkyK<s!F4MMH0JO@^S!nSjPnY|
zN+~Fz7rH}Bre#8?A*x*LnzRXg(clzn`anQg*D&+GXnrIv!@O~Q&KQO&8Qla-6%g(G
z=+k|(9H``Po}GD~F)Zv9^7DBkhcc9NiY_cNB9q9<j+-{dFfi_A+aoQD2+?wbWS3Pu
z#I3E+XU+(g+Q?2=v@{~gYqhd^&ER?dF10)F8o~P?Hubj{q|l+Zk7a#-yYb$#8?I>r
zM({#LQPhe}0{u;C4IK7=f&DYo{qr^*V6p1&PMVr168JS;Ax`VY`VURqa3ukp+WFRY
z`L+;>EG2SZtr*4@k0|cZ@Wa5qd*|QAO#!rA?&-NTK90>~=Ck0B4dHjc=4+use)J^@
z5)1^VF*A1&x!08jaQS%N$HHh{R3mfmTUOq0Y-^St?-|nviHt+G$AJrFc2|x%)6HOW
zgC~l^MD*c}(0BRZkL-wQ=-;mG`Wu_FHu=|Sr3ZE~z9FS)EXe(m$g;z>|Cz`LgO{<o
z;Fg?U+}_HF_FZ2*bI@WE6MW{#+}xo9|24|FknHKv&YLOUoK?p$#)F5x&`ImSy(zwX
zcIKOS^{Ksdqd&K~dp3D!-b)*dCVcl2Jy!8e@e`sit`1`rVIRyL>$Kp=PyMO{wiVnV
zB%8v@F^I)YSo6)xYQd9n`@1g%7x7;6gr+^#Ke42H2W)&oG(lHr?K}VdKX|f6gmK2}
zZfu58bu4Q_1A<Yssb$^_o{;(}XX-#Zc1rYd$N?J-SUT7FNN8vhzZB^t;JdpSyA&1g
zrSpLX!5MB5XL81Ha=DUH`pG)XGeC9SP@M)oi>K4-CVt_y*L@<AHW8*lHt3_}ssmV8
zZFoN&!d*DV+!Y9A*r%wmv}GA}(DXWWKqY?w*H%$YIPy9f(@QF4a(PCDi0Stiy%hRz
z;Xgcu=Hd_WrlYj`j?z>p46n#Z2=B$cZn}hf#1`Wpzdv56&Za>757&P+-aUBPjp3vt
z5f%7C@~`C}RSNjrf$y&0x^T0*>LqhKs_{zYys=wv$?#xTn3O<#CqBF)9qCS}!`+v6
z1*Vvh!I_om>Xp(Ce6G0n<O}7mxbD!C(@8~Y+kdb*Ygx7fccF^iR^V^JOBTnr=DJA0
zt=N9yZGSs%Mf+&F9@mD?sc5wCWFdi>f3Ab|wqDgd_9aKW6E|<|$o;9K3S2?M@83#v
z;5<Hi=NaF3<G~YC^vYL=VB!uuVvjrUNR`!(TVB0*^_7Ecoh2&3>UHyJ-QG?-taiM<
z;6NXKAUQA&Eh&S3!sK2NN*7*uRO+Bg?f{-n6qWg6s0@66j%6LQ?8cv@Osv=L8NzRf
zTW+;SDnYH6K?Ta}!7F>!Y1wqY@VErleV_UjLC~MR`IuTSuKq^C<96Q&?)t?*GDu4i
zG*z#?;8^^DcbozZ$6sUkC8znuxp)HP=U;NTyV!@%>q+iO6q>}dd%}3Ow)v|m?2o$K
z(*eAC_nqs^0n@nHrRAfE#}pvTKT@KtcMxw^mM4x&%;Jf1y*kA;@=!%DVmE9wjL$zh
z?83P<hnHu$f7Mc#hm3CX;|||`;ZJn1LALmLyl!^EPVu=M&>g5VdU<aY?;&3nVYFPt
z7c~T@10>`i;DI4W>&0>Wg6e^rx3rdVQ=x7r!$euYwJ!JWy+4UxUH{hUVf7au7y6`q
zSwt3gogh3E|1pg#?oa!;Cu0@Amc6-KAyo$aceBZ@c+TSC@ey+Z<PH3!@*9Vn1Q{5R
z@2C)z{)2apeksH0=upwJ8%lUB4ZIgQ@4J=E<6P5~Uw=o_qwkIdDg}F`p$%bKj^`I~
z#R)N%XJ(9Or9I;S)1VYM4D+xbwpqp#;@{Br6PXd4_ecHZ04c!Rf)&Ir{>3McXk#s=
ztVp2ZL*tT+6j)YerwM&n#o47?$nlTZ(f<Gd0RR6Cmv=nXZyd$#y<L0nYu|ghHs3>5
zl#tLeOG7C{2}wrM5Fsl?L`G#)D)LP-DygXWrBcZ#iV_X<^ZzqmpXYU+bI!Z+63bDo
zLM61CY>zYaTx=Ena%g*)x&SF0ec=G#KSg*pJ-qiroQ1sKc+#+QUWn{VbGqdnsR*_^
zmD<<KSjl^zW;`AEMM>$u0(Rzq6wu^e?6%UMojmN@^g^;-j8qTr7755zK=ARB{@+fV
z<drk=<DOL%@~yT@AH`Jx!^Ri(?Fr^455!9j>9t9c@*8#?-XyPpC*p+%>TmFpkqR^Q
zY$7t``P+|n$O|iAeG+$vmXiQE#Kkw~m?uZxxE-VApsj$Hr{bs5WQED&qKc;e{)!|$
zI4YDqLIKeZa)mqPM9IbMf*ZFQl}Z1GL(I7u1#I{wen|eA82Q<2eFJ5)DtYbbt%>ao
zipUSS@;9=MLOwnB*HKMJoy=(oc0JXm1ddm0#3NfJNqT8>O`g0ac_mc!)azVjIDN5}
ze6uJ`F8=plv4$~~RR1OUqvePSq?)6SvF?#0Cpk7#h4$!>bDNBkLawO7^m6U4D2gH(
z(R|=TdAA-ZP<l)^R9zivzdE09+^<aDuxm)Ew>Bi#8}`PyO>5wI0n3u#k_tJ>>6$S#
zOe13ysakT1R8(%GjW(WBBQ-f#NM&^fnI%&=(R51(TR+K$MS5zGbul04XZ(#w4xaiQ
zqdodKag9S{NlJ^%?uke{e$<%UEz6MKQb)soP!_s6MkQ++=cZauGRfK6O`AFHGLY(T
z?0c$7hun}dS9>bZgyi`Uu-=WIi8f8YGHQYzd6rB(dvDr=3|=*HmT|@ui7qum=kyK8
zpxpJJ$Ec=cppj8Mzl#NO-r24G*I-Bv4ykCa`fWlo9b$j6C|ZNOsIfooFpZq@d=wqH
z&V=+{FqNjw6Hs3rU3`m`PF^XiRChCFl1H{JJlMC%7I#j+k<D61Ck2Xrf~(Ys9JQ>e
z5-hbt8T6EMqUfa8x!AsSrOW%IV!PM3tN`VZ!CdBMI+=A-NUN#HfV{Uf@t~o^9=1AR
z0;U3VQml!ytR_{PEWNs;KE=@i>nv@~tx2MhEHmy(`u6JNh{l0fuSy5dPP?0!XBd*#
zdQNH7=_-;|G2vF9yByHUl`B+2>XS0woYxw+QONJkTy5vCIN+-4R_E**T~b>6=-OFT
zZqhO<q?kR}0g~B+LpwsW$wuWhoN_<Dwtmjj+)vEd!_(~4%uZG<QYa#2zsJiFqH4#d
zEBRaO;g+Hr8JnR_4t+Vg?O^0T!l_7U)7sAExd!th43t$#>EZ3nqCecYyzczRKPoFQ
zR$nxqaaf5Q_&btnU?Bvr3t|O2v36*2_-kPHLzXOivM5m*B#PbKKlSro*`i+4-*3w$
zN%FZ(!b``WVmJ^P`@+k@7Ws)mv6>gf$Zn#xo#&4@QpBvXRLcQOy|ic?5+sk$H@%R}
zqM)nc0OuoVKq7{l`?DA~xnC+Pn(IFbzCQ>R9n>Kp{qa_H{wNFi;Zm4)@dO3tMVGz9
znKp>KwL4Ar;#{lq+RYc-`YG^gx!ddLZVjr~RjUoU6RnE}V!sw&reMJ|+n4vC6&gP-
zyx@;}+?sK*-{V0P1#3NC9o}4LiMGms?<sQ6i8D51tfqDpI7KS$`Za3-L7LJ)>+vzd
zg1<jOPm%%~mrrR|S6E>0N9V+E4&R9)Ho0NSyf`N06qXW-%n|JDC-YbF7h%N1w{?D8
z9Eu(`?WdQ_P{U_Qo!_=dc;vs`-u_h_c@M-g=sV2tHakY%O^y|sX*S!=@=<UnY?yQ4
zwJCn*e0M*;h8^})ciN;i1<{=co#eeu5x+V}%x?oH{F{?3yN^+j%j&h^`YRJ`8j5>t
zWzUUN*3nnPUnvOR{ADyMzyyT~zCW1~yfD_xY^d5T0n_?5VJoMZur(I)$?oTa#?iKK
z(Oi-cNmCVN9A$#Dy|H{TO#my?%9~<uNuu-2zi~$mCjQlR(GQskVVZGQ`E9Bcn&t;T
z*FQAICe9D{v&V(un7h<_BTO2vEadDO_Zve+DE_NruL$glou|aYWe};MB2uJh4CBhm
zp`|OL(28qFnK>zojd|A&Jee>;_^tDfvpHfoDe^Pd`hgrG+<D%&T{XhqvIx8W6mgjO
zz3Xn5RDj!J^$LyzBbb>#J&D5<ye_JErE^3PA+OD%>Apq?Dxox1q)Ncpk>|lKc4a(k
zGBaDWG{S~`#)nrFNP^?mSn1p|WyG$&Kd7&3go4@)84}G>7}oI@6s}Q0o=Bffk){#+
z9N6E!pOi*|!{%GhPpg8l?&&YOp%IeAF4490WpV3X%{q|;HMI9Ms*O4rVQk^5n?$@E
z7y(xc%%aq>1qGE&p+-3SVEW(TA$gRXVwSEB*MO)=>7nWpBMABiQC_+zV#@BV_w&7)
z2<`fpaBJKMv#(#5ad#@=(vh87clK%_=n%Q*p{+5Vnk1iXtx#UpO~cv1-BcLaNPN6l
zYYdAo;a54sRq)fxrZp}|8&!K^CSU3?5ny`c&6u?+3WJ}UsJQBY^WnxTRjo{X-1R1;
zP(Tef?Nh5BspvxJSbh*khzWwEY(r-MQ^RPuU{v(5F2ZDNr&cSOg2$uz#Fk6y*pn__
z(tcPEZcim{Z2D}9oRt>&OQ9OjyGw30UC=}JQIfgwff?NQQ=cSIHNj>e?;g8KAFdUR
z4o$V@pbH1a2MjFFnWa#AKU5!|vewrqU9f=Zk?;+Z`?U~WSUW^trw_p>kHCaHOVoFH
z6$P<V!F!~3t1YKKY`DGl%4b=@lkdHx!hR}Ro<45TJE#X<ZFz}XN3BseT(-Npmx{L<
z|6US}y2vX3R{bc_2J7pz4|?-yBVge26yFUUJhKwYx$jPZUU*9DqPjLdnJfE*CTnAV
z;(pg^0icW7kg2AijnuE_l(%S7VgGs|Z`&4tIBx1e{Gj5}Px5R>nI>Wu+siK30`;$6
z<a<?6;VzKeQ^%`;Q){Lp1;+qm=W@kc7F5JFZx5LBSA(~{+?Fn3TU5)u*j#;83$zoJ
z(|hVw&?Ge9Sfgc&DRtvpOkOSY5$u;j_?3}y<3PHyp)FLmskm^tYC?JY*k93cd2A1L
zapzlJuRk2Ii-^&{{e=7`v2hvXhMg?GE@BI>FGbrO^3)MN^5ImssuU!%3{Nyp0fFA*
z;U{a<us!g1NZADn!h}uY$X4LD(8mMew^flY_Uh5)5Ha|3o3ATQ1Ns6y-S|6Hkj3O3
zc^)l-m76RW+%CY<)&3~yK4rv2Ke{JWB8bz~vGQj*fd{L_mU_CCKunx)_WZzyv{e1A
zNihW4T2r6oEGVG+!oWN(^Wfd>>dkrYZQvRy`-!<i9+P{=-rxDcg$BvF^0N*$_}$-3
z-&P`vOAmDFbBa0PVw1yIQ(=t(`d!MRj0~RVPfWYq;J|~Ci<)LU)+jkHc>B*4DZEy@
zm3dl=1AJT$coTP6A>fA+Y62yZUg_9yXN(<k-EDuQA20j-1HLo&7!q)pb}ZnYVuu0M
z=gDoFCCtiPHttZRAfmD4Wvc-P`hwMV&Y!h_vr^L2oiuScsfDL|m2=?Q`rtn{Y!>j(
z+kMe`lNeqOHoN+{aKc0)|MmDDbDZ|MpQKbSiuYM6-nr6T2)x^5Zt>m><5DeLT705t
zZ5<u$;OEA^eL)GK-e!1er2b)Tx(KeWk?X#p%!9IQv6h-%Q`l!{XBMf8Kxz1?kJvh1
zjLfZMYOgkhscf0tkE_DqaQT<Fwt^2lQd=zedQFi0GqGmKQ5Z*gKc1+P6o8w8&(WB5
zCg@HN_^B))jBeF~fup5@_!)H6^x`lR_WQ~{$SeurU!cc`|0-cTG_Z`jxtEE%$I$O1
zCycJl>9X&~L~wom4eBH(6Y-Dl)Lse_hV|E++_mwdaPR+2J#@hs4o`e5Mf!xXP7M%G
z6vOW=l<)O0#@-^nyl+eq#82=hiROwUn;QLVaMWm7C|_7s=ZfH9sqiQJ77E<%o~OH=
zF@iGRtoM=S_etc}PpF%hfY;rTOZy#-FjK|rbTUg65*=ZLzoQhM$+k=Nuo&T5ZeUKb
zff(|(bIPo#l166riHa9(4DdvW#b&=1gW;sgwJ>#AT)u04Lgyp{3oe?{e@ex1OjM6M
z{kj}xH7HjO1Tc^^+cmftOMzxwY>kDV0=9nnr+CDg0fdcIP419DSOIgiPf-aY`&pfo
zG#GgD!J$QXw<Nx#s$DCORYuvZ=Q)Hl12Q+28cI{7aBbD0-=`u~P<B8zc0!5)R*CYd
z&IV~%e63N;i&llN)nhO7<#Qs8)^#47mqB`zPU?#!H6)$w`{rlMz<QhO#}eG-V3DIg
zJCUyrrw}f+{M`)bcsH_o+?7XRgssoa4GmmL`}*6Unt_K0LvHdz5e2*2r*<y;D^Ii7
zz}CME)ZN!-_32kagRPW=`d=;l*p&A-(%%SNjMwIunw8PCZ?;xLP8;{jIbMYg7@=XK
z>Po|06+~JbslQ~T1G7E+W5(Nz(Q-gdSUE}+YgsHjxd~mg-ga8_6ktNUR`hR(j~ZT;
zw5AQ1=)v}=TKuO@CN}ci=1#Cshg@36ky&wlET&hsMdzE~!dSF-sGJ5iXkTHkd7_VB
zLZSmh38o0XCUv!GP6Kj>XJiHZ4Y1PgOpQ#88GI(+-AV1z1V@EJmUW8(zSojmc1O&Y
zeY2;k;Di=FKBVticy9n+dnRM=@;~+Ed%iKwhKm0}*dM8M8lXKaqNuaM5(<}A1{M!e
zF=H8jh`HSWY!zOgPCm1OteNFN#(HgJx4$d-)us>05l`t&pRK|FUtJONwl?D1*VMgy
zrHA1#mfmgiHt4+X+Q;=v8^dW<Wja;52tCkC8=fH`-t;cUNkj)Zt60`KLkDHS>|3jM
z0L|z4*)3Uha4~P|Zrh7gY~CjxPk97vxRFI$`A{4G806!Sx0)z+GA#HiYm2?7GtxzN
zY2(tn7=^4Qb-2b?h&1}xBH}meK=3#fxwkEISBa{jYfkz=<zZViKaV)Zu%n`=@@n9e
znhK_v`ez4nZ1HS&Sdm}679M2VQF2lgF|M^soHx%FyZ_3aPcGKP?ZnUa8Z)wZ%w`vS
zHq91pl`$Q6sx&aMpV#Ylp%lv0KPq_cu!VP(w2xPXI?h)QNlj)_@TE3yg`1TvWa^XI
z3i8!ZCBc8K^|dIdKNL^gWw%B2Xxf?LR8_d_(v;!(BZQl0M-D%|2kgC?Tp_&tA8HSp
zmc01Fht<ZTr!x-#Mr&AdrGu5>U5(NsN4aq<Q|-Z!HXtd`k#V6>5&f!)8-wn1p!dD6
zSjiOv1)swX1>cm1amH@N$t*UM8q0;{au9G|^!{qmCyP@#)lt94SYXROesIvo23-kz
z1@H6AU}EQlQ|`8Z#AS&qA*NN<aH?heI1wy`KL$lS<-LnUPop9!y=Vn>_H7b2LlS69
z`^}#^xj-m8aLHwQSV8K1PgH$01qXMA+K!ej5T|bjoC~Y8#CZV|eI+At@T}%A*8Q+R
z*!boIJF{7$Mm*%ak*FBfUOUWNd3urf^43!8xW5HP4u3H=6A{IJ4-13x^Gk$9G^UeC
za}<YBziAtaU`c<>vW$fVSN-!}Zr3o!!B;;8%Lj!(pD7D7e!+stje#ryr_8W<(^m1@
z8G=~Ky`iVu%?ke`rgABNP0?3;Pwz>*02GbRQr!mG;9K%HXKI%zeD$ew3MKsD^GHqz
zWaq$zYtnD4KbYXZvaK9Tb9`W?4e#T1<V2LN%A04KOmI{@?$l%)AFPSZ>Q^psVLC<d
zOT=p?G!<N56w~;S{?es3P@D&2l<a_VzvZ4eV>Hbt!iUiHQrz9eycm1eHJLQJ-17|#
z&xXnHfg{@|g4>=S4nlL?29e7>7QK7dy7D1;_}8i$4nZu)W{*AQFvj}a>)x4Vd}w5;
z`da!y2!`A{WKR|vLHDuhS2uNjWNK;%i0u`D-m{<n6{bcgYfyc|@{k|>KeCwp38G*<
zYD4%9GH}SCzIR)W0QUA+l}(k1fpXH%jU|zR!4SjHlc|DueY&u|<CQof+GpQS7%-q8
z=xI)#6T;P16KZ{`5)j)xJ)ZiJ4xOgrL#JK~W6$Q~(PPPy7~*!D^*T=nW7=ZM|AGj*
zd^|R6T#|yoOnk_vAUbZGGHuq}CJMG<*AwNLGBB6sz4y+5j;i!x+ZwxNu8EE6DktP{
zenOCigM$uj(^9jHW&QNtmgx`SRX`D6_k`X@8r~2N>!K_u82;@bS^Z5BMNOY{J$q<S
zG#}m1<|~0pksI^dW0WzwSy?3gJ`Mbg+|NBHB+-9)fBVK`DiE1<is$R3;oRqlmFotj
z@ZgPzty6_6#I=tPQwM3Nj5TbWw3fl-kL{<{KUaevb!WWqUm8Nb2~Aetmc@YY&p(#S
zJyzDdK2g(<j-UVN;=XI-5gFN>Ft<_@lhH~tM$vR67Yu${`BwoYL9WbanOgAe_bJwV
zPRD%dyCd!`O6Zqvwr9SfLNGaZw#1$ROP1Dxu5M+tS{%8Zp``<T_HQ!Uy$rN>>lD_v
zs4VLww!u797Z&rAdfbsla2nj4T-dbiC-+4%c9!U2_h;*5UAi$`H7UPoO==hj5L_@{
z_U(7h*R)vpnAkhC<?!)a>Uj1^Cby~G0L=LtT$YPWn5g&jXx`F5cPV30<GdjPD#sgZ
zcukRJ(IoJuUK4}gC-uwKXlOTK(G%4-!^5Dz`oBuF@c2aDhS>EqtbE}zG#+e@iDUoG
zA(09n9pz2ycF~Y}h4XRXWecSI+|WvO)y4<&6lFbM8tQ%xDXpKkL;{=owx!?8`N|!$
zRaTY;yMx)OagNpy-2LVPBTWY_CluEv1{&ham)&}&PuW04np>@6S_idjOD^e}8({Lv
zk@<lR0)8BhS!{;7kPezO(k1nfe?NlZ83}Bebe>{?E>e4Hejom)gS{$c-qYWKO1}=f
zo6B5xt}K7!6LxLfXrQ|f`q?7xx9Q@&J{?rf$yFR3(!}t)a<7Apw$N6KvGDQH!QGNb
ziNOMOG`aNnIexcAWNm`J#Z_&zUYFhx?5>KKe`+^7r0lSHr}y2{@2GI}%>43KP#FZe
zZf0oM!P~8%;KGy^+?n}J^ksfur>Cp0pkRmWblPC-J5AWn-k2A;E`<PZnZR=_c2L@Q
z;@YJ<8W=g9n!>gujxql?jSbIj!Lvs+yfsZ7cg;DP#A`&*Oe;*W%(X?r8RgZq)oR!?
zu`8rHogY?Qie6%FwxDxxb50AXBBfE8SewHIb;;`|rWSy>P`!z@%bfD?W8Ltna5k)3
zt&wkC4%j?zC>*s`f<VpaV;_wrLbdn7RfUy6`IK=!^NT#3lb;Iq_5LE(v`sY^^%JOE
zao;+>QFfVYq8v^)&k~=a{#&t^vOKkM#b8dcG}5)RCt2HPh`g+-?9sJ0@JXakc+^P3
zhV8q?u|wYod)n*t@@#8Z$y_)^zN3KsKkD0!;!}i=oBEq~ua-H*ZKl50TpSzZ-vpgy
zpCt14N$T%Xv_f3kEC1ZvqTrTP%zP_8NxU4Fni|}0iIZ!mCk_XSU^_>IT8GFKvEpo)
zd(uq{L@uK3`vxJ@Dz+K5Klw^1uhio&;<LcZMuj0s3jx>*awv{vPZJ*=*Kk?~nPcZX
z<22W1K6u0{P6V-iCw6G{Z`^&?49X|d@`Onq#N^cogp~at9`P+nYAc!HMMlz3e}8WL
zj5CjQjQB|$TJf9`l5C2~4MFKtQ!WS*=1)4d&J%21f0CuXn!xe5gjdrFP8<-KnrJ)t
zo9KJov!1q`FGCvbHkpYWFgiX!9l7$CaGYiSDtoe=FRthF_Am1oMK)E*k9CPi_jww;
z%Yg~c;dqhwWOht;TdHj^XTj^FLditZ7@YMM(meL;s0rJuV}FDdN9Gun?+IhHE}hvi
zpv{gS&ZYrPLu}YZOYzUVZv=B+F;8A&b~uMcdW5=gz;TfOex9olE>8Ejiv_Y{$uw1D
zcMm6?xFnfy4KR={6?LHFDmxlk!)c1!xzSQpRQGi|13MfPW;~TRkPv6XrKP|N9@l}q
zuq8UU#w>=du5zH%_hR+lZ+zG#<3U#C(P1FIf5Ok76S_?Urb-_K5FDL&{+THqC2e)v
zM-91PpZ&P-#INPNdvL8;eu#!--HAwd6>gM1OT4F2D1wjrr@Wu1(BL^5QyOB-1FgoV
z?Qy-LxK`@u>BOW#H@7s!awji*Zf|C>mlMY}p9f=YFATA%q`g|Roex(_&gq9ArodAS
zkBr<5K~?Gd(Yitals?fy4pvFXM-Hm6yf8qFyYTSfXF=Q@HTPdAmcj<>wWni34PfRq
z6@T!KFbd_e4mod<0Y|{uC|z*_NXsc0OuQDsTQ*MW9SgZ-;uCWD(4&uwMLheYXO=mR
zHp4w@seqT~dWnW}`p`Rgr2e3yI2eRQhC`qdy8hgK$eyAP$6mHh>#fWE>csK=-7l1}
zEs7=WbgDi&K4k?Zc1VCf>UT?)peigY>YF3V^-+9>=Hj$M3XUr_%QY|a$C3HB9%`TT
zVKvfq#(zi}aRSFJ;~LZ<AzjfEv(f+$6aUcMvt+U0z*VqWNfR;J3-0AF4IrO%NXvAq
zJn$Y>;`v(WDoc@5$TY-oX9#PBmm;`7<wm<IXoD)fqPxw8hKLQ$m+u-XWBl@g`!N+d
zXcbK`Sn+f@H@~vK9kf+J>C<Z0D!LwYI|&x21UeMcUU*6Rt0FU5v~*pgK2A1Hyl-92
zfYtN;QbdXxo)jnNIA|I|Yfks0y0sD7D=GW@>(rs&yr8>s`MwbSu1>m}G4}UJIMu$>
z0Ofl6nxGdni2PWaQ*@XKZkDD`2l=&-car5rwg(+=$DFk~o|}McXRa;Nkcygyi`Mnk
zbj)7t{=D1P498Chx<uM*qs7J=B|~)Vs&L%DuhSe3lqx$pdmVgfi?$tqLx<^_uSIt@
zTVmt`cSwn*E*QF1`D?1^xL{`&ZuHj*3qt!32aM=~lk<-IaT_{X7m{LBa%}LA)5MN9
zS`VN1&7JJer@=vLpH9CpP+I!UTls|^!jHX+sEsqkJGyhFLnol|UAyzpf*#heRg_c*
z>Ep!f58nhsmpSE+BJYE7J+KLW+xqLL4l;e?EM?|w@pECtrE7V5Xi@%DSKvy;g)1u$
zrf#vr<gp`ECqX?(M1`#@h+Xb2yG8%bHQ1pjd+5WHmAW{)Q^{ezSQVn`w#juL?ZDBm
z@+oJn4*HJY`eR(E1P|AMwCq_s^iCaD&!B7LVHWE?MRQp^|2Eq;G;W8s_D9WqU$ju1
zRp%6ME&(n%VXL0|cF@f@_F4M4CRo@^5;Ge`5XSQ(apf^P^d$t`*OAshWu0loi*Vj$
z{S|~nSlc0ah4Hong=(-ID;qzQ$A)7mde=QhZ1GJ)sP>k;Do%z?uFPooP5krS@S!l#
z7MU~ach;3EgA^j48@o*tjcMY$j!D}hY5MVP$q+@9j{8-#EIZyvc3l30YM{V^^5bHe
z98P=hAv=<~h&|bxSi`IVbAGvwDQ+1Q)pe$p>~3f^ca!3^EGFP8N~1l?mPF7Q?>Xf!
zPg|>+y^8+cw}GHR>Ye~M3OtI9ddxZoT5WU+p52(TUgo<;VVWjl2#DS>JH>d@`su(I
zhe&yAd=7q67rIIWsTWP;<=?+;J#jlswcFhaEa&a&rj-Tp%j$f@kL_<;HOw-vvK+UB
z+3vp43#@#2@zRg6&UL8OdC`|e_mKrGM)<v-n{XrCEuXOZG0@7wZpg|MwZOAm<smh9
zIB>4v@np-*{?^H_dgp#_GKasZz0JFHHau~7z3M`9Z|eomycecd%<yV@74>~F3%D-#
z{WiCF&?<b3uks#;89HKHd~8M*iORuH#=m`yt=;))>AnG`(BsFj{n8&|dz7t=>ej==
zue@s-?W74__Po{iP5ed3-DWf;H8&9|!k_zkHB8W<qUw|tJV&^SNcZ~GcM?gI9jje4
zm{2;WbicK5mN+E;hdv(jj3`(y`GjxL7$cos276V05O>P#Z@d+HMFgj3PmYEeW5Gwq
zb!l>jkcpHmPR$=8JhXG1n@5b$y^~WcYkrzAyWkjTDg2(W`S4LY)Xxaa+Ve_^meYjR
zhT6CO&p#4Q`74!Qy=LHE#OL~kE#HW9k49P=3q}c=&)3?~O$^Y-2m2%Hz7ic0JMJCb
zJwX)n9A`~>PY3z^$z+$;SK|EY#k-H(Cker03vFk2&{1^Ed9SbYSK_hO1m&O0H^L{%
z@Q2t>8ic~fwb_q;C2lB~bf2Wp5I<T^zZ*%SVdh<-$}53yMCX!#j?>fcgy)$VDvKly
z{{sL3|Njh^cRbZ!7{~1`dv7kTd#~%>OE%xfD3u=xNr_O=AR$teN<|{Fi4=-ZA}!MQ
zXrZz-Br7{)@AdQV`R6(3Jg?7q6O<nIuYRAvzU!%~-MKc4xjpZ$eCDJDhjx26wfawD
zZP9G>^1bue58YDx)<`NGlyfg-m72obwL;}rEf=xy9in7MToZm9e)}fhJB7K`{|Hld
zUdD1NWb5f`6wv<7VOsck8Vl&1i6bPfVr5Q4(tc(XNX=iLxbuAm3*2=m&uM)fv)G=0
zS|WxFF$G80oH^#OGmQeqdJRmF@?n7kI!SQ-<3M$}%RB}#wMJHkEbziLFNb?8304`}
zHd8+rF!5-~4+WoC!QZ?nJ10>CqJQ@dpi4`bzSWb+(O`Cvd@6Tr=MoXhRqb!?a9Y9Y
zr%rkg*>b{|#fuZWy@+7+M&41ybqza}ugv|<o*RZ^FBiyms6+Mj>!Duh8(6WZ-`kn%
zykH+wIjilg4$KcMCR;d}p*x$l&3cj_K4kx8*Y8q;%Pjf!VV*2-Qc<sWVW%J*-OC<2
z<*Nq&&<wiR%?d=5eL_zwg`o1tgXO(kYVd3nWG61OLsHF7Pdz&ku<$lcihrUC|K-P*
z6Ky!5_@?CQ9Ud`Qs`wGj>!}J6q^G@KExBPfDfBtlKXEWA%q$KisKTGhsQbu=7c^Y6
z*j}wkLgLba-Qx=c_*!P*re4PnTbkt4dW>bDmN-7w(nWwz**Cf<T7u9o@%nE16FKk?
z`E*h2Hv!%nzKJ-QCIl6}e(JwSim-m?e1z%@0U8%#N>Y_YVCcw`UW*JR(CsNQ<R_|v
zl4c@IH;Tfnw(#IyH5J(ZgSq5#xGE@qJjuw;5r?01J{Na462Rij-V;;ns=yn@u{|nN
z5>)M7WDAqjU}xQ1JhoU3WZ90I>f+MyQRpDFoFT&B>wfok#i_&8L$~(3ymH|7qUv6=
z4+#>5&bc){A%f-SiH3p83h=S}JaP0a1>AlOGVc)~L7*#pbEKdWgsgH-lH;iGM{Y#I
z<|7%#_vHyV1S*4gW{pyqBMky}Nn}XZYr<WQHf7?F3Pcx{JheMWhZNscLlr3+Bz@kk
zSb9tq?3pC{dG|4({_fGL{TJvkkQgVUH=_njcb~2QHPnU$U2<iWs5U%4b!pcB5)q;Y
zd4m&IwL!9Lc3XXy4$MiP^f}H&0*8-}6wk)#fP&(s6zr!iv^;Vg54=o<e{bll(Stf*
zCy?B}Z&@EK=e-}g_fX)Rx&vX)oDRJGFWA)E&<G?)Mm5_dsj$AD<N~ES(7z&VUv$F+
zGBa&MnB}#=uzthQQbY&vgvnjczhPj1Cz;=&PYVKx7gUX;w88n(_)I068B|?)=hsZ7
zfd{{f2Tu(h?#5WOhH;uhJ-fP}lsOI7d3G5vtJC0!M?%!wVRP_xy0_9oq`|1Ln|^iz
z1%B8X{``||0cuxtb{2imf{FiLxXWE50z}I<v#MLdl%h+8X%7{~l2aFn4g~NMAxg)D
zT7tGjN6_gaO}H{)a%@FI5k!pNgxcM;gy>4)mNzsCB=<W$dw5t9zEoJ7krOT9LBxl>
zA{R(-c*~9BCSpRMXsCBw-`x`2g#N34d6x(oFJ6i9X|TgKx<`2*pC!ES>`~LmQ-iF>
zgK^ybGnia!q3Fsz3lJr(bkgn+peg9@z-|6A>`Tdk2cs$$5SxE1Q7c{<ychYt`09+|
z2?oMx#+l||cxHI4I93skRrx%=DzS|7^QeB>DPRs(=>~(l^yR?Q!6q><lNr6#dU8hl
zvKbWqWT_FoDh2N<PUH~h*iie^Snrux0PN8IpLLw#kX0t-Fl)_;>}FnAM*09acZM&^
z)d@rOb7u0ZRxZ>XP!qGg1%oCtd*SwE0nptr)G)2!Ms;`B;%mQ~!u6w#RS_~g5WP3C
z%T1jJxz|q!Ee@JMdwhLGg(5qoI!sk|8}pz!DdVa_78CepBkF8@j|nFAU#WZ$=Rs!W
zt_*h#W8k4hdePOEFlH83_s%ce$a7Sx@WcTlIOs@-yS(Y!uT_531)btXm}Z?YZ?YkT
zF`{FxqCu=NXWwBaer|NNR_1WTPXj2Q6I_@z`Hq=>K71c9<3fSwlpiY*4B#|L#Gi{N
z6_btgN<4Us3*8&}AhP|eJ}~`JXT3*n#;=|ZeRfiZ3-PQq?m6152Q%`L2`-C0IH4&}
zx?6?|*_zjib2Iedk1uvBENU1}VNE4^D|4YVN2*F=nl1zi*V#H8pTI9l7&*P)#f9cN
z**|%+>%t$ehIXId(|A^Br#O2m7usgQqn>njD<rd9E1s^K!v`#so`2%vMh~Wf?-M3;
zAY(y~5*M|I6B5S$?z_*8eqkm17EbEGju)9?1*$9fwTbkaUJoABYndjtFs=<s&y|=;
ziq>$Rb8HY{&5LrBU*D7t(gqu?n*E-_OvrYoG}ikNANmz*Ie3^^8(x`{kE+`+qp;sT
zHb3t2BZ<XGyeEMHB85ljQPC_Y9G*&V;}t-Eb?}pg8VvY-AjtTB11s8?UzH*|2qGaj
zh0MW^bP!qmmAO}r9VHdDRL|%Op{K3>`)a-E(Al=!wf{T^Vp*bOa_S4Ct8C6zw*~01
zLr(a+$p|N6)mIFR-6Mh=%t!VoR?%R;fQw3y@8&y&)|Nk97ez`}f?qNMXkd*VYP<39
zq8Tyg1?F}!R5%&IJFH0qztOpqR`2=HAq~g*yqyxrrB~7T`X4PoN1xLI?rcFuS93^0
zza&w0nVN6MIW2gfcK0c_wIKSdXZQK;O=+Zlk`&^qq6I3fGDnFnLdfskl+KMqvgq+$
zm!)5uzTnTv5}Fk*jQEten14FSBj0PPGsnxRV40S>r}wo8>YI>VQZ!IRooDRXPu-(J
zG}EsLM_w^B6eoU|ZNCyqu~R6>%BR9LOlDRmNE~Hkb$Sj)E2E9V<MHhERFE&{*N<D2
zKw;A_lgJG!sM23Tm|Ii}q6cn%Bd16q7XR-D9xJJ$f%x<}*GpQURpjyMtgQ^vJCe97
zIYJFp*vj`a@zNk8fz;})B!@cRt()sisiW!f=kkd@G-wR(jd9wdfMj@nMSS<tKnIAU
z!(2l&7#`=0{C7hUwV7QuP3<Nj0d2RIkT5!IdF_|enyQ2(=I7J(_EJ#HS^2uJR0gp2
z94b{VQAS`bzqpQTqQvB8`LqoNSlc(IU#wR_U&32$i^a9j?!2c`eG}SXB^CIgae{yr
zBzCBpsnbxFa{I*Ch7OF!^H*sLtD)dBzr;6>X~^F$Xl;<H3*Yw~Jv^tSjvnnd3AU4@
zqwt!Rj3?*ypus(}@3sXImEHL%;^t0Ak7X{-#CGcgCg)k#uw4UfPckit4yU6Vog`@i
zXG8EQmFwwekWg<)NsGm4I?}N%_WSqS2%hi+OjR?H(HrK9P6sL-rC8?C4UU>X?}fRS
z?vKbwon6~9=p_v$zUIleKWGX)^^T<sH41WjnSP*=mxi+6zw=`!17wdsJelZEK?B9t
z*CP*7(WQl+ROL1R^@5W929Xrh(Gw~>vx9;N;U3h$<7N=9l%bz;go4Jr?lF_cHP8*F
ze9PN|W^k61a8-(%f-cUfz+P8%G<N7HllcyFFt0lNd{;0Tg%nY8f0PiA=0lgGWijSZ
zmh6=CqJ)IxTL~KxD@w@Bz_;+`GjpKFT^BE_&_LYli9554<WbL7`qj=Vb0{_Q5LnJ4
zBJW%LlaF(x&~LYm;{M0x5c2~IGWAeLTiU$emMw{*-^T~5Utc$eu9B9{2YhNs(ZI_8
z!bd^WqVjuT-r5}AJem2quYiE|+~FJvBJd!~uZwb?%;u2C#jYu7tb)b_qYtOnvZDHJ
zs!e%?W{}{(w_~Y63H81FD&RA?idPulke9SJ12Vhv7NWNz8s&FC`j#?_?@_#+o;LuH
z`#vo%TSOkk-B3|!2>Oe^w8_6x9tL1>%xQ~SunY=Ncq<ta-i?0{z~yv=0hX_bX%JT>
zQ5N;vfQV5e{;OQjL~l0+Ze+5ENTE0qU0DrR`B93eu5d`Mg_;86zS*6!E28LCE$ISj
z<N-G7I+tcxYyzGCb{#ntxvA@Xhh!PN0wbNH@s9TxgM*uzb<`_CH2I=&V37@BZpWJ6
zKbAIz=@U)fPf1%)TFkx%Mdm83<H&Zd`u#?rmur{FZorFXzsE*U!k%H{0|y7Z?;3*o
zP3I+tG%lnoFMf`}n}mH7i=dqwHh^CxkKa%%IZ*Y=sa{9tLR?6$b^D;60kq0g@RjSa
zp_^|b!j5xS;||-mnMcLw!z=c#jCNlZv~%m8jE$hLcoo^)oiV5fSLylBuJtk@!~0=1
zO*`7~$E&`UFD&(-Ury2?L}mm3n*Jm8aN;jKQHb$qFkcrE77SH<J63V=Y;lU+)gJt7
z@UNLP0bQu*?g;s}w2Xf`&O6`S(1&-F^>aQ9-3k-IThA1qTEdxW4F+%3hVWOpmUsV-
z>VT0$E?I=Jh(F_ys^yLOi+k2&*ju^l0B`WGYzLDC9DAX0v4rU#Ue}Uv<K9ngFkTFs
z@`|3vZT_*>D}0#56_`SHbUA9n4}UEue$jbcP=<G;EpZy(E<eUU*2aLfc8vG)w>iA*
zw)1>gz%2g2X5;xQX9iGLi+6Q?nZv)vH1A72JdcYG$ez~i+02oj8e%3hbNHQY%?bP`
z7jYr2q0a|S(&5|}=aAT)^LXvS?b;f#%lKu_#-H-bG&tPl-zr%@k8k;$Eq|+F70=`?
z@e7Zk0V781LT%Uro=sg#)7RO+Eh>tyT~OZam*}jByz?T?@+DgX-~4aJHte8Dh!&jA
zS$wE@XbJam9-iScV?jAq&jLHjsNjBt^G{mBG9KC_F2h#IitGaRuFubE!ug~egPSue
zxO`%1)Py}dx||?*7dO>}`$3P0FC*4)#dXvD=6syU;L3_oP&@^$b{l&;Zri}4|FIR8
z{N+MU(w~}7{3U~=_SmJkEGEQu{DCrQng?-sg;#OgkYT_0;%#y{Gt%nY+cc=gk9G~Y
zKmYcM1RIkdirj};5bpz_Mz>f26#kp-j6anGTb_pnI2f~`?JOFx>S98udia%I-V=>Y
zK4F<UQO1r6zF|KPToy(jNgQ-{Lk;kX*P`0laH2U^fv^F7QFM07d9|*E2>WgjC&mQ0
zQJH%@TWFOSx-Z{{nVlm->Bc*a<7+%f>rLL4&IAdRtKS!XLW>BtlM~m}r1;SpCCSkG
zcquevZAmp;PzPPTRK?d`0%+Oc&D-VIGH6s?rk|-*9d0BKZu>VYh!)5Ox&4Cj=>6}W
zxR8(PAi7rEM|TiL0)+I+4r@iEkOrD9&FVlsQDZ06B!c)k-HZ7Pl#tLh@BiMfs6%JK
zh^@D;7#bHid+EH~X3naf#1gECAXGe?^p_%mC|kZ2^Ar=%04b89P(cKP^w!<Nf>P+{
zyPZXU?bXoCaAnw#vj&i*A3dFxkU>KS+T?5niRiP@5P^wA0(+M|I)dBe5KC6&hI+3C
z8WyE1v*?h4>yT?CF;xMH?8+BwM`W~LRdZ+G1q!qtI;|hVp@d2=x-9)D&_w;Y2Yt)8
zP{D1>`Q*Mm%E&A;#AbiI7JArpZ<ooq7WjDFN`6|Tf?~cmhA_XNp+D{OkuNuU)P?M1
z*O!8-NKN&KT4xF!B~4qnw>dJP%D`wTCrk~Q`h9-5$CH7c7$px5e$s{t!Re~{5p^VW
zena;87HxEG{)?#W(XFuKfqg4wj|PgOoUJ=|TN|-_@#C_k=)p4optWNm3Ay;!OMK|o
zMiCc??U%(3!2f<&bJi#s?HIn3Wj>*eq=tv%W2B8>q{8jSc^*yFl(kzKd#R10^r{;+
z$R;o*fl6jqG?CI_l3xQ|8@)cq9Dl(G14&aus@roa67{5D(+3&oSubzf`#S(fhO%lE
zG_}x<?Dv6zMsyTva`sXGbu*}8(%6^aqJ?~mUud2w)IvF@zu$6oG6%Z}<DvIPT4;Em
zSMiK51v%~buc(y80w&H5m2iEfqK~Ii?DqX3qO0U$2mk99z;%P?lF1e-YMAn1o}j2A
z)%DhEc$Wpdk0+3xaB8A-wd?+cflA0GT)8Za*An(Lv~ADb++T#%iC5EQGH9~fja68{
z65_0mJuI{!A#Qgy`<8i8#B=SO=D%?ZNbr6W@+y;vk}7X;#8>ho0ah07w#OEb$D2Vl
z|EY#tS$r3B*jSOLSX8aTUJJ0v%c%BaQAML`>lI;dXYlSPf)h%A&4CnE@Gn?R1<BVc
z$#p{up7D~?GdI8-3=~)PXxJ(t!!1lFP(>Hk?eKv)eZ~w94&P=!!K#3^<Ew(q+orH9
z@1IVv_?v-sZP!z!I2m-6Lsc*(auL&%oP9YyzS(CAeg=u|ltfXXRB4T-HO!y$RMm}5
z?(6@t|7@$C7|JARW;j+d!JKe<dggBo4n7o3-+4$FwO2P72MjVpKvlH|44VSGl0<~V
z6#+CPcxI9J77MiPcW)e9HGvW4t<PUq@SrEC@APal3sA-4*=MCqVB+b?`lcfsD7@-W
zJE@)p*qI*+gSjz0T#K_w3}r!ap*xxsQ&`|zWX`Me0Y<Q{ZtJ~eY7IZzvLsB#SU_BV
z=_;wn5X^ku7GEq_z)f4uakBqlhKVIb!J1J6I388t9LYb8AN%quX5VpUU@m;`@JZVM
zGMX1mVif-3ZPxi!1{+N9pwXox?}|QLx&3(Pqe(BWlvA4fFq;Y9xbj;6{h<e*mp-aK
zDQdy%`>y5>>}CSXjGE(QZ9Qmv$W^1ivkZT9{h-Z&2ouaoyh-3m(gj_vx9_>d5Z1n5
zE={O&1KXz?qOG^Q74}8*nMrxHVl_Ntq}KNvnC7wM&pw;Fle~Z4Xd<^0qn%;3l<nTY
z0^|;t`+w7cl54LdeqZXtWQX|<rAjivSQc?XY?lt~X%{+Q(K3Yn`ua~~(3J_;raw~{
z@3mpoy(4~a$0$ZVl^bG!n1IQ{GUFj=L;R0Bs^5wyup`=qQagYd&WfV21Me6x$dx@d
zUo?g3|8in&>tY679gaAo9SjiS*Wl*}p1~?PF7j7qvH+6>rN*R%4j1>`vPMR8SnLT3
z6I&=NSPl7DySUS#umAM9@2m^hM4cmf<UAWRGzeuSP1E3RhT&Lh+ahN4h38*S7CRg+
z7G0W*qJjLK`CiWQW$aaLUTod~2T=JeCoZbcfMwQzV>*8oBX|Vg-|EN(D_=~H6kgQ=
z58r~(wdd<tIE~x*&nP$Cw%V~>{R<VC%KM9Y{F$I+*Pl+S5?*NXcw|;5z3HFLRrikF
zVFuNc!}5FY^F#02EyJ}yP56AxwB*<?7GT{FXy5r!0Di{w@cj3K0x~J<T-9_oz|7uN
z9uN?My?zU9hqh6``PdFquRL}*7Fp=`+F2N`IOUkK<75buCz8CjazeRtS85Xyft~)Z
zUm0v8gJ{5`tD{3);MYtef88ktk0PUkNbMwWaq9Sl;XLrAv`~0#P8_`cFm6H^3Cvjw
zCO*IAgX|NHav?R6kiy5mRf9$XX;o6P;NLCabp48b36h4h)6w6%=QRL-ky!1RBM5f9
zt2U*5vJi0IzUEbn2Bgp^=VeEPpq*Gva%U*Om$H~NpHCVvb*oC2YApgL)ctX?KNKNw
zE@Y?5Hw_povv|7mvnU*reK{ydQHC$mGVvE#NKmrYkSusi96~OeN{FVZzy+(QvHSL$
z_lcd>nN*bouGbM4)1_6Rt2ee-_cI9&C|&)JgIyYQtDi>Om8pTp_b<DTpCW^Fg67XP
zc3EJPNsSvlNQBeI%YDBsDd26rp58~4hjXF2PF>=pO^#A$i+9k3P~Em~A-ali`e4Q>
z@eVRr4?i$}vdPhMnZ*Jc$CMy-xihFVM-$R+a*7b7Xn-h!17rEhaP6^k*sCL2AZ<}U
zHOD~*5pTx@w;2_ff1>+lE}913hdIRfWf|~y?Zj__l`8E0ba{5KBOS(kY#)5yuMLAy
zPI>ir)gax(t0RVk0V5rg7FI|Hg0F0(y`EKvYt2bND$^JswP5h4%SIP&HU|=g%{3q~
z#PCNDvo_d$;=59{t_OT?M!MTClA!SIzt;|W+VJV|*O7}~4IowbK0`K#4F0!CDsSl8
z;3CNReetmo81rPdnCDPn=yb~AmJtS=@ePRFnQ8)}+ve30f;1tO`z1BNg#jfVk7nUK
z2DoqFbd4|-oNo^o3tp$g-&;eEQgZ=rr7XKN`cq-0!BWf7mj<g(0~EN<n!%9#X|~`P
zDqPBu>OaMx!prD_#YHW1@bYP3=RQP*?X+G&6EYbN%~YSG*KX!WlxIB})&#}a;2Hdn
zI>Zmu$vPNWfRsc$8YXK()Z!zkJ4b+`PD>%fNDG*Zp3JJyqyY1Qq;72?B`81eVnMjr
z0u*07`ZYaAf&x2#!oOG<AjCH4s&1YS2JhXfbxQ+$N2>{My~W^+%xMpgn-<_zEpI|&
zCc>h)S3_-q0C0xzJ*&610L}yZRU{9n0g8&WHu=U5${zU|<16NnofUteDwhE6qcjFv
z^D-vu7qFn8W)5{HhB3uqWw_a;lC*ev1e4ZZnW`Xea&({6M;@9I*mb5(neBOw&5ow@
z)|Z+=`R;qU&)5~f_7CGt#p^CS;CXEmlb#tY=l@;%_EiQ%DhYc?gmGN1WAC6?C4lfb
z!Va6aoBBK?Y;huY26s4E^jQP|ByGo}je5l3oyqC&ty&BCTNCz>cegN@J+9Y(L{|h%
z*OGbfTv)>IFNmD4%{2v0T7Tf}cY@HL@vgS1aT&LaUw9A51YUf4@7T!A4`G4gnOuif
z@J`R`+jIMk!CB6<H*S#&Xm{eRwjNx;j}j^s*oBN?m3KM7z=j<#rlQBLlgoI}yso#=
zHY1qKtB(K{7O3Kpo3Joh#)mDQYt3CU1o`6%5eJpmvG=~cPP%SOxXnvD@rL&Xkg48$
zfN5|M;}$qrHGXUnzcWGVKEQ7PCu#{g!!U~_7Ai-0pIX2#Yt%*4UG+D)sr}P6!X&0O
zwf^yG=sezQsU`ofOb?o-8w2U=BbcpF?yanhIeg(uk?htjdY}{18QGEX2dj9O#de})
z7H2QK8d82r7bJtm`P6#aG4Yv<x7&!bc=3Vu7?rlI5c0V~Lb9w8OFnV%^ylmu{OvO1
zhPmlhaA$maEmmKNxt=p^J!CY4Z(a0HX)o3Rrqa1_2j@6EUVt`qYjqlz?<VxWRM3IU
zg3ve%D#8PYZkBKFpT_GP!Ya#Bw1LT6?*oy$9{(rrm?JtfjqerDF31zohM!Tt_?~&T
z;j3=Jw)Pq`c;}vmcRuk9a6PWn%V=oF08T)$zrUd0`MV-#@SFQDi~kd5z^*R^hLqke
zT=3bY_I>=bI1Aqux<EP|g8wL7ENkz@@8@P7U8$VK(~bu<zE-BgM;;|+Tg`sl`mIUM
zRN@>ySel*ptAqvtlTv&qf(G%?u$nBhlzAN5t1LZ$1{aQfePCNTj6Zhm+_me&0`66C
zdB>#!E!d$VI{BD$6eo1#m((jP;n@q#N87(sp(fAP^poc}p7z4Ae7SHLPcNh@;Jj35
zRt$S~rELPgte7JZd~6lpouOT<VWkPrc3s+P!<fQLJMy1<x~${trKg3YZcsp9;(@}x
z*lB#*M+u(i7EGvm*K=A*GZ{#^gAW)RGx)Uwlj@!!%;=r$b@_5dGR)XA)IQvt!?zjS
zu~lqfL1uRJn%lu7=r^lf<JVijpRB8QJhWm%iZ=@;U0O9@H*4WG6ZR#1EUJ#kJj{-i
zJK)i7Jq_?Lxl4Glyo{eKI{Y}Hj1vi0z1FSDAp+I&=nDneHT?Qv(tGJ5Zd4c(l*ubj
z1j|9EP`^_f_<-BzrkCG%(KX%p);G7+ffjyB>ih~5GH9JXG@`o&xpBC(28gRek*e){
zi7N}Di3M2H9v4It%0V%6d1`Q$Yisy$4=aj$!Z{NBQwSY@)3jn>ss^Qb;?I1d*imf3
zyE>Z_BItHkb=ZkMRlw>6=d1T|qN0@K+h)pQ$ZO^9rO9Mfu&=b`E3)TCtmf)TM_DCM
zKv{2n_&!x2r(fz)yTFSQ1fLjnZF1y)d8Mu@Bvp`~WzzQP;7403B<S@vGRV`Szuj6;
z6`JV@Ig|Q==uxAn)z&IGR1vY9-p!{9?zsYgujdG%!2##)5t<_6^yB<!t)dD}p+i&e
zC?crc$%=XYt`eHxV=<h(Id_|F;KhM<QFPDsgV|*b6;wMk(dzR=6^_ps=Li;yqyKu1
zqN<w+h)-X&OIK43s=7btlO9N-n+eqy)sxgvprXcW>0fHl%<7l*@{=^W($u#q5kN#t
zN*+z?mFn=@i|={9kQ_QHGccdxO+v4fuVtS5MTCo9(G8N<70~Q@U24A{1-TKW3X4og
zus`w%%QYb-bc8LTOyDXNtyTCOTplMw(F6Bnra)zMgS=sDZbL)TMX5&jXEb5`P~_5{
z0TrZ7Ls9k)bkv2{)Nzt&Fr7Az6OO8){{a91|NjhEcR1Bw9Ol}4i|p-kxtD8YeLt>|
zBr73FMv3goNQoq?kTi^}QVK<AA@_*N_?0bL$%wL7M&jqs^ZxNZ?{m(1-m!m<@35hz
zI%?75)VY?d25gjlQ6FdJQMW@Fa!@5BOZV-|P10o0Ih3BU7Osf;o<He5Hb+KP_}2zz
zzcs)bUrhYGjYp*)kGPFQX`t;++O3KaE#OC$spTQc=<R_3zU>|jq{Mze_UMidSgQKE
zCUz2#<EFic`?v;LVys!n(bEG?>ce<(7F8q}nKF}~uYnvwSi^tB8Gu<ail|~IA_YEA
zu0}cyWVodpHSq<5NTacP6YWGa&7ya>f{lzmOU5qy?f~>R&yelpNQmgCxoKLfhUEFW
z6{2V;yZB^5p$-XUYJ3qXl^~(8(uDdmBNWI;S@EymJwMvv@2b5{Kriv1uRgwO4DXdK
zw0A0rsJ(__aVky`>8teTI*OS<?VaF-k`7fA`IFHr$VC?AdY(3#3^sxDAFdyZ%2Pqr
zUiO(8x{@d;s_cj89TRZN{$1OpKtTUB-(k9tCWPbyop07AnLvE%i}<r)N~oHv?3K(R
z9+cfPed3do2^hAPS6#TTh%OFkti35>K-=F=H77HgKym1RqS+&PH0&PpNoIA0`tN?@
zoe$Z@AekT$b1hF6MXTO!-<qtasyuaDX_7F8lE9TOSMNz9*-Hr{oGZVuyYpwIcrz)`
zR<a&ab59aEyT$&BU0=r(M!T|B*(uQ5{jbc#Rt#+fm_M@Nq6Oov13zv?8G$r&?37J`
zFk)ZUa|-aKhnUF(i{WK}f~@^Tm5PGspT?x5@JB|l3C$-C`vR;yw;~c|d6DUT2b+3Z
zX4nqNG)(KjV8?<f=D-*iVli^6`>w|V46am{$X-Lx#pXVp_h&_KJ2SKdOId(d#Vcgy
zrvczCA6Q)sWkBMLEImw(Ebxa4FKTcGP}fTMdvJpWMLfPyQkcgAL3(#3g7NzB;KK#&
zuAvR;sS^__FORT*iQmG3lg@fzFltpKp1VY~-Uw*8vd#?t#|X#zZ|g#><aPOO$`sY1
z{KB)SyUg&9YwCtj-#);PSiF04_#0K>*?9k|E;Fd!b2t_#vk%(iSeqZZR8aK-V#{yM
zF+qTRX*PuFfYN;0Z&+!?f*O)$=3g_x=V)3fT)Q^xGr=gyMZ?&KtyBvAeI^)bIHYb!
z(uS!Eze&;kKe7Af&!1k+Wr9rYm({oKYC%x!u%z;fSxisdcANN~2^=1Y_LkwaKy3dt
z>z2($Z2scc9uXF1;D{cPb2zUFahA8kDt@eBH;8@iKh85lW}}4qk!cP17SZXkCu<E$
zGI}T3#>fKAG{H1Ur!|1_{eOBNiJMrbb;55p!~!?st^W*7k>OZell{YITi9b|ld8%B
zRycR)9gkTc8G_dYuOYD=?Bqr%ajujNW;btMe7~s<_J%+1RX5Ur^!$bn%@{juZL6Jg
zy{-=RiDf}GTeQ&6@VC>+loKpU{-u$m)WJy0vv*yW4jSe1jk0>U;DnUt$z!!@kbZ3Q
zKkKXX5Nt8p(bmEZKi=CpavoO$FM_FM;5P=~tQ*gzHt;}G@7awwIyLw;KdwItOb}+u
zSku_c3;b^8H+joRAf_L0DD;jQS{_y_N;B|-Iae<&w<ihAt%d&j*|NfnCu6LdjR16A
zY~o!KB|%bES%V5KI~4E+#k;%}1pAXw^H*z$uvOZpkkiHi*NUC``6xobnC5cE#F_{>
z2U6r$s9fMVEPdzwv@kH+@h3c7R)zW_i%|ZX8`jvI8{WMZfrOlqPS+Auun$V=h+^S|
z5bFdcVv!gm`2I1A2v>z1ySnGU4fvok;EBgZwFGnw<!+cASA}36^I_LSevtq7_-gBh
zB-oka>3m#N!Dv3{9AQ=ftg<4nhbc;ft=H1{z%Gx4P6JK&nLW_18zaW!BLmUe%Z@8A
zRbkEG{i-5P7+%R$K6+d&3oZTfysmqQ;4nI9-&M7D_dQ*Q^F`!=&nogEUjY#~yOXi|
zF`{6f8=;?-r~rAbz*?kC0t;JZI$>XN7+EpRR;R^-+*BS_BaZ}{L;<_oT9Od<D9qqT
zq!Pr3U1>P3q6Wr$Gqp|{OTk>gyT?r%%Ami_OCj{BL3EwJ_gQCYFj+r-Kh0kSVun`j
zJPOo-;3IbB_5~SW@!lx4Z&!uSgNyI>Cy`;Q{!8psjx0DzIDY%gMuJb32Q2;5HQ@3T
zaiG3I4r02zR2#BM5HfMO>2$3o1REc&$@wV{mGY-DQ+U+i9&Xb-o=zKV1#>VNT19a7
zU~&uaQiDmH`RQAybb$We-Xbyw9%%B`2kO$*fM=mv=H}2o=vIuJ<)l{v+FNB37kBYH
zQ672EPU^wgfVR}sVI|mq<RG!rO%3`5^MVd7>4Rw!bs+MNGTiqQtgl}u!J#voO9w9*
zg7(*<>@_I@G{2hVDR3qM2X*>G<QfL_TukrBBMG1p67+<DhX`M|a~IW00lW`fe&b(A
zfV$&i51w(Vz~Qq_!8i*eDF0ZGow`K;-F9i`uy;x@Shm6G-EIVl2UorCnGrzNrrh=)
zNf91#-ioi%qrkYCb;V-6GJHAr&;5Cn9BiYr_?$!vj25KEMlvab*4lqAD@Yp3GNglD
z-cmp>H9=8DR0)1tYyY%mlZ5F2^TMK5%I-azkzyF}ki^J0adBcVNM-M*UV2Y~o-5=W
z;V%l%PNTRu#wiHV8h>ZH@+okm-ufxwqC8N2XwwsmdEnqkilgzFT|En&@A(DgKttNR
z*f50+l5Yn8c_>W*8s3<g;m0!IaQ<l~e=j{yL&rMbe>MWU76<2L4Qa4k?wBre*v9TO
z>`jsjGy<M0d8$JnC80v@c*RS)RqVy7#J%GzMv(D4m3DulICwMIIpyw|#{AB2JKoI)
zcr;f-cUe#rp2;yv++82WjtKkWZ8ZTfc+O&YT^OQ6@8BB=t=OI`$>?}G1|jS<C1DDC
z!29+R`MOLxmXM$1TKmorMAx$Kc+ByGU>2U6mZ6r~n!qLRJ#7HJ-;6bDe(*x0zR|g`
zm`~JG$A=j%i5bAY(=Pou91l#4l^?j_-%5SoNqhE@y*}i=uI{;*!wH&`cX@Sww@^Q=
z1vna|=|P2We5G?T8>C@2O%}@^squZw9p}1qVI#;Qg|3|$$S5$A#TikR9FrP!MRY-U
zepHjooe_Rl^P3))FQYyjpY6Noy${^uZNxJ4=pp)fuVcWIH0;Je=4;Lx9boQ~VG47`
zL6+O|v@`zI*tb2hdmDLmKxUrt%DFeYzP+@+VeVHG_I#o)?M$FHsGI_$uKaB*yXaa<
za$+Z@M{_8tqg@MX<2l(r>uzC1q+9z!8v8IirD&d3EiEvMlF*3I+{BE7{SV~}eaF%(
zE`1;rXhNDz)3{>7IwrjDv~~e?6ze$tNvoYp6O>ljIYyP%ux5i+XNSKN*r&?+m0K|y
za11wAeNONX7S(GrSqi_f&ptK24jW`Rbr-K5VzP?8xyC1)erpChoM>FObB+vTyUQ+S
zWh>Y_Kcx}J)p<-q>o6s3NgZs(-jA`_tzcjGRMTs{Uc@5Hu1!5TuMX{BdO4mdu3%yx
zT#bZdma$8HhVfT7)j&W&UGEKX1-m29+d1dDiaFo;v3KLD8Zgr1YhzBXV7>78zY^Ou
zEMg+>{WiB6JXrgdxZb#et-EfBWVvo&F4@n<ZxoQA>QSB56YEthmF1NCk)*$vm1U@3
zo+b%yUiRmDL-z*@x3Q9L{q_$_$Ot{)mqi44Kz=qn@(1gGdc8*+PXpXHq}+;k{ZE=-
z+{blt4ZHtfGPUp$Eu2l<G-cydg#opHku*XZ82WZYJmfbHdKMSsOYKzP1NWYOp7Wd7
z72m%K4I%VE{Axe@CYJzKS}iMX|NdgLBJwL6QjBmVinij+k}}}KL(BDF{ll6YBfi%!
zF@bxwlLn`iG7ukB5Y89uU|SQ3ne;O(FqiZl&rq@Jg9E8$%0Flz41cqIfrlM9j52~+
z#FgN^%Xv{3P8=jYk?Pv==7h`NMeqK(jR#%H0ESR!I?$+MYg&%r23j*alBob5G?)$D
zetx2d(c%Lc1H(M<j<!H9J6{nZ)EcW?jxxe57o9@C2Op>iMbL5TC_<C`!?G40W>D;$
zGbm>ffXn}-M9&N=0501s#bbp9CYY~a<X%BIB1|%Fx~TvyLav|F>DfWGa+TevRS2@n
znm3}4C;;zNnj?c5C(LbSo_s#N7sPJeMm8!6&|i2|+{~35Ud0{~P}LQKn5Vhr-}Wki
zjZ@$t=PMqle1u~qzLkKlz3e6$QVLLg-t+2l0w4VMQs2i>QwkVfr!4<7RsjFcJZVY|
z{J<rZzqMT?4I6#uSx(0*z%$Ydsl%59A->5!@2!R`RPRg(8ZIb+lX5X7>ZlNepEmbn
z7?6W=_o`q0xvB^k6heb&T=v2*L;Rz#Oa+L^YP5Y~j)x4Lke0`>qA<sO+CIb|52u#x
zd}&OTK>DWOlj~jLKvrs~7_n0Zmk|0A>1buhQE#xFdMF76(eB^g8LI$&^6-s7S{0Zr
z%#L|FF9ln3ai-ncMBsO5F2(QuHz)C-P^E)1K(|tPPWcuI?!SA}6n=pO$!{%xr&h{B
zO|0av_DD5Qji#$jc)gqBQ6J*FWaYuyyU;1kK^<m}7F=kRA%h>y$E#Vpx;J7MoEvz_
z@QBndC0VBd5iwzc!fbfBctEu0Q4txq+gGL(Vzq#0I>n1USP9;im!?j#Xh8k2uWMD1
z4phThe$Q@xCB%7pg{W%m`f0-l`-{4OU+-~1O9ZGE<@u1rrU6*EsDo^VKHOg)?T%Pi
zfr8ra*>joX-9FOwee1O$?AU%di9V?UZe}h^y;mKQ1RHX0p9EldOUYGsAi`L0mG9en
zH5ga?2G%Y{a5XlyStOeXO<GT;D7$^pZM%=Tb01}wZ*d^yCJ}lG*Ot<gRiJjsT&Zt`
z0%AQB&(CBc%)N3qfek!x`Z|X5#T&z?qLbmx*HnS(`SmrGC=biJBQEVT#t^P8J|K2o
z1x^j=++KE)2BY&v?+oNjAl03Jy5t~X*A954rZmJr^K$0CL+U2rxX@<)t3wHdy-)GP
zC<?-_6-t$kkO>flADaKg<6+`hlcQ?{7pyjoiF_V32Bm1DiUv0YSWcJHI3-ID<mY|1
z58{mBV9axaoftW|*;rO4`fUYMYU39<DQXNBtrg_t`!bNR5R;&r--%@g?w2wtq(J1a
zAi0^>QowEcl>G7M2vyH)ygFBg0`uw$y8Sg0VBzR}rHHyj_5S)vrajjPF3U&$Q&AR$
z=BpXO3+bEGLwzMKBw-`?Y0_qXqDcr2)EXqM%hRA=4rOxqI{+=h7TR@L0#NXCj$K6#
zhc=>L>p1i8=C$RSn#RYxz?J7WwiHN*6uGXC#1b)Z9Scq18{&chYj_5#^ho^;RkjT?
z1Qk{XUf*$6&{Fa^!5Bl2j`nkUEgdxg^;xg$LvD-^ZQmj)oIsD7a7VrRBlTgX^oDQv
zAsqP7ci_XE=#gQGZiI4)9>hGjvgWq`ANKIkJJxrM^r$oU_$QAax-iG6`uyALKiHz;
z^B3h0=#W)q9h#BQh3SDWhI0c8m>yA6zC(u&RY#rPB75xvuc%gQE7M7=ySP|%q!WjJ
zg%2DquGE2x&tqz&W(KhPr{lX$gyYbY*QU##nRFohvAkX3!;jdR@E<ieA`VRmIz3YM
z&<2tdUaU^4luF~^c$)n$EqWI9&*{W_E!eEivB~Ugr+y^b94Y)xi?;s$&EQki0;|n$
zW4fJ#RDG3aUqp8CYXp-}nsiM#YHW^i4USP26<!%C?()Rb9M=1d(}eHz3FXiFr>Lch
zC$I5o;?Qxo6^Z;X4H$J4sLi=JOLc2YC?8A4A)l!R@xKdX=uq%JGWctO`s1^;-$h0`
zv`#a>Js3cSJ|ErAJ%5*|O?q-pRe5xX97@b4E~<mwfO&xP<_Z-xChb4(Ophc?!Dl>7
z9csJdSi9%{P#1dyZR@ld(4`z!$_h>$*wgurN{_8m4F=x$ARR_zb}Y;1#4R-_zh_AA
zJ+Mig&MH+Hc4a~-I&(cL@@kOc6%*|FeT(Xq&#UmZgc+S)iL45&Bf)=i)zsM4Z7P*M
z&_`Q}72(gt6Ah1%AWkFb80{?@wBMv~D!!f#9mqGE4&NZcg2i6#us5{G&FB1ixl|4$
zG6-DiW<+3;m#UUt#G&O%jxS$taG{|ExkB+ARdBwNB}I$TqoR7%)8B@<(R6sYde^oJ
zq`kS}F7Su}Wt=43PvqrANH!~y(N6_V82XzA$TK1OOufUFo_vTDk=1#3f&ktx3iXsf
zGNY;%<8h8Ie$+l&p?K4e09RFX<D%kO(RbPFi*25Q$kmBXoQxyDto6*fN`H1#^q-D!
z-X0<3^Ea|<t4JBn43HINE^(qig_5<g3&MzesynCbgfdtSRVaxa<3>4m)mzRjh@iAn
zK7KCB%Frvy&hsjj2W33&K1382N7S~ZB0mmg_$n+bl|ICadWE>|^J_^We9M+-DYG)L
z9C2hjVaAUl$c5jPL!{6Xu~IWTNoANAWY;Qb6+mfan)N%)(nxH@a*f4F8Sc!Ukr)ox
zgF^YF9dtBgQLHfc@6}3Wa9pCeimC~t%$13j{t7u{X}+dYuCu#agk~L;`9#op)W{}m
zqJRujwCO3+1ekWa-(e{rhIk(xrrA58h-A%Nd$>Aw^Q(cQmRDN>oxi5@s3uJb#osQ8
zeKoHNi<J^_cWNY2(6rCAtqB2XN_33-$dkYme@5)qFDZmCvy3~vs)C+!3%>0CLjn^H
zQ<1weGDv#Lr!FCzh`dh4?hlz(1F?s{9{%)_MNu^jKhy4z5Yv{KO+Nz}%wGl`{8}c5
zMtk-Sm>pC@`;$36O3gH&E`Y|Wd_x|!^92=)PpYAd@duL$&op7kl2$X{P!atiUxOky
zb!71>wxm-_8zLLDf~jG6^sd=>O{Gj7wS_iQ=7x3Py~xeagd8R0=9wSl+@g+TUxu=H
z<m!T1OG>TzV`U`yI{5Emu{wGZEu5O_s}K2ybSHR|2uS$xrb*>Nb)<xsFi+4mgbxzr
z#wVBxip~<ZQ7u+O*NZXH^nVyMUvr`#u2VrN^jW^=K9SJA6Pyn8T>$hm<NhNwswhDy
zcy`o=h@#p=*lTVX!O6k1C0)DtnAd>SrxF4hNWDi0)}}z-m`j0GtqK~ZwNAYH8jnQM
z1sZ8<Dd1dXtN56#f=Zo{Q`Aj)B;=CIxJS$wCSiDD&4++4b;nCG9FajxR-<-4M~%Uf
z{hG(pNo8bf^IR`ZS`wB1XHZ=eYz#$<S8F{8O31$BwwaUsUbH?!a?A2I2J_P|BQl#6
z(RHJoLCJ7_L>t;{J#AzRul&{qYRwdoeKwDW+zU=rBSO^j!5Kr?Yo#Ia=W>Yodn><m
zB?CHfH2IE183hE7)&G9NB8#p(i8w07v_+kD3$NR>+}*SJ`?9<}q><gbo;S<q=cqSU
z_fCY27=gm_*&ZV#i3T@m8+^RGsA*<>jXwTHFtp{Ul5|)cjjU)LzIvwxJN3ENdHoLn
zGpF9Txw#06a>&d5C^m-ON;&X1B?`byh#@}OO9+WpCN<hqX0R(SE#=mj0eS|`3M5nt
zpcwtZct-0*Y|`U`$FL#>bWJqLnd*G#<lkAAl%va7zNwYKbyGv=vA@tEKf#Sy7f%?(
zT-@C&)nBV8ybZwVzr^a}cRA3<B#V<iQ!7|t{4HCLbbT<s**Yrni3QDU{+)OGZv|tu
z%YQ2NK@T?a<E^hdF(TEcTY27=E10HVr0d^*y5Pb6qc7By4uyJqg{{UdV;@CS?Q0Em
zAzJ(%dw)C)vUW@qe0qBcYim0($Qip2aK!<K0@SytG1(971rirAtq)lrGuw4wIG`W@
zdSZ>LcyM3QrE?3I)J{?|os15oB-qO-iLOx167GAlQ|GYIt<>T_5!#@mCc3w>X@OcD
zNas;sGK2AUS4_(EX~DUi<+{{&)6}hN?hgvz{>F0VR~(IXwZJu*$x7nUPpZ(jvdlA!
zQ&{u7@j3q8y}9{E$9zp~l=@aZF{;sN5*sY!DnHJy3GRN8m`&aw71vko#<x6yrAU?Z
zO<&Xieet4#h29=&gDnUCU;Q{1({;-<ZJrF<7paR89c|Pf?nd^LAI30?uZIQYPLsjT
z;xX-iz8|PCb@RLP_9&)sd?zesR2^Qp0K==KH`LP63xoD&MzN3Oh$g{Z9o9J|em;DW
zPaS7WsEK19#ZDyo%j_9f1G~GgI`myKu&B&H{=~08ut0IT8oo1XaOV5ZA`kvb%%<Xu
zD_!poENcI$QqN@)%!!7k?)h1V$!S7u3vLwaVP4Ljiy{GK{OgtGiAF4JWVUL<WfZdx
zIaHOywYxVHPpouoH)E8zVSn8CC>D1+W9^j*5j-PiMqhsYg1s7#sH?p<hJ`)u@KXp<
zg<@>3=1W5dR{UhbFgSc1OAWqP=vANsB)gujuRPtDeoU#!Xxs!Ay+Ek3=_A1YFDz%@
zp6JC^tK04!Zv2S_=l3%=@)Mv(!M!s5RUanZt(TCdK83x^KCV*WpbTEwM?Y~$3}A3e
zWPYvd7q)iFUa2)l2`s3r;gJPH*d?h)sTWG7F_AWoWQE^&_`TdqW|SGhM%}M#KdGI?
z7UaJ_$<@Pymou))Kj{b7;#j^m%&>snw4EIjxupm)3Cc>mY-89qgB-QXY7vWHP!LX;
zRe)(hGe4E5<Cr$JTc5dh3CmBF;F~(60CnHL?3efXiAi4LNqA$kyYC%*WTh(Qq0C?)
zDBpStqwIGbNa6m2oyCQXX^P21PxaZWH{5??&jOdul<uryEMpox_#1MNuB)+Mr*H<l
z-#=keDZPpPn+&L=r;&q8%FFI2#OASsI?{$6m$xt)BbtDLa9I#KfNXMqEnuki*w0qs
z9qigQZN-*9GBC?}YUhyG680hO#v8_eH1PTOOU}&;GH^poqB@j$1#|!Cp>s4H2j@Np
zGCah|zzCV`7@>O=J8gcI|G&fZF!=dO0cV;tBz^lhG4**3i{Lqs@{+;`v1bK7Wy?v!
zb$8fzZ*v0+)G2)2f07xxaI72+ND3~5<+JCW*uv}|##M$;S)q7rl|$513PuV)Gf(4o
zup1^>gL+OJAcHUJ_T-QPF#&=8%d0ftKEmWuzLy*JIJ0KPB1v%mC^r(GiUa<-l?$!U
zd4Q<X$D9`_30S!-o5`-eNr}@382$Kw)1$;iz)TV>#=j2=nleI4lg0^>g8&?iyniV}
zL=wVAI`g7@m|<Qsf?^)L2a2`2&TG?1!bNNSRL>8r@ceaMq;I`2m`Hsd8l8~<{KhhD
z9_N6zi8lgu7NYPn^|yrutt6Q1di-z~<p#;$PlL^PB%mwn@q2e!NuV?um)AVw0T#Kg
zZ5MVaX!;jW#(q)~7TUygR!;E&u6E?_-U?}$d|;Ch_(2kWX_6=B_6xxN8&9sxN63O-
zn#Ac0D=Ap^Tl?edum>u_7^+F9<)O|^8r@-(h5~yLi;;9;cp+HBEFY=}uPv!=*H)z=
z)Govk!-+yXE9-RLBPHM=y~p2?m4ySc&q!4d#G%PEtUY{@05$3(Rx>$rpvi0)@~~PG
zEHR^hJ9b2PxVN|~$WH-^hRjX1^rhjOVmpV@2ni0-rLG*!#=|d>%MH*i12+q6h(iME
zKwnYMby<@DuQDFWW=6>Y(|5O;SR*p9;mw#1?)pGe;fR6%J_VQx+_8P^r~#Q(=boyb
zRs)wV{j$|fMUXhD*x+rU34*f%mj}*}L4a_{YF~{K<n_|B%(H00bKHFH*J4dbdAfXb
zDS!Y^R#+~`U(*8Lep_*0NgeQK<Bln2R)wbTmm0)Mv>;N}R5g>T3*TnUCZ#VBp*6Go
z(Wsvm=nLVFz6dn{y?~)CHYXAYXCLu?N7aPicVF|{>;b^3_~t$TLISOg<gVa64S25C
zH74d|1RG;&#qz>xaJS7`k%5~G%yH)JmYEb-ElGLvP)!Yj-lm#e7FPq|mLVmfhr2yQ
z#9}guUkzxdDXAey1%z!mT*bmoptae0dl`}7<Ses8`VU3m3gR4X<2HrMIT9UTbx3gb
z7yhfwkPL`P-)nO?V+slkR;*35L|Afg%yb$S1F|H|bbg#E;QY;AY+x$z{>AJc!X19F
zN$b8_<!cH>e{P)RFi?i*6k);oqq~8hrY0XEZ3+wG-h~=$c=-7^Hd%c)-#fz!Jk?*C
z0DqFhPC~6b)CSyn`ZA-3`a1DQ=wVe8Xu;G~dfa7!GW{W-JAH#{ypuC{_?|H^*7fYG
zW08iSs@v+7b@WL8ppLP^It6G`DjRa6C7|5>)3MsmtcZSy@9UNW1%P8`yHZR9SSG58
z$bbv2{dksX@x}<O#L`n0)&=3pfse`Wm3h$r00030{|uLhJJo*_$8AE^wfDYU``Ys!
zG-weDEh-feQC2@ALL!OEhzMmgtd#A08d8x&B+;}ZdyAic;5_F!pU?Atzh244Q$tKr
z=AhsuY+Wr(f@3l#yTvv6Fqi)Ow~?y=ESZ!?$Jn@mF*-X`sF@Fqe8km1FaWGZcpWec
zVgowM)`4On60Y`fFtpLr;PeT%8`9wnaQ4X8i6m7L4wqNmS>0>~f6tw%XjNaPfu5s<
zi#Q2;YXj^}l}+KuwU5fTd?#rUzY;0@^L%*Oi*(t?&IF8H#Wu6O`$pTLU{-Ujkq<rA
zqBC4#jp5?8H+c`OBZ<F(nHfAc`A{IEg}48$5!AOlcn=SIiS3R%gR0#5a9h}=?c)MQ
zuxYqUl67K~XtFTaGj7F)oA=r~CwLlyTEaKZ1eqD4!Z**Q#()pIhXj8uzcqkx#dopO
zW{U)px6s6m`S2vfre4=HfZ?Qp(A)j1#CWRM0kGpkKAoFt%~|@e@FmHI_XZu>#gvp*
zh4Z0P`_#E@{QBT<)3k9gjsZ13c>CRd#fM$0WjkuF>p?@k%3-r(OnCUS8e5kP38~I^
zTNX%qFcJGYs85;&4}VY@_?1dR<C6K`gLiZxL-6U*f%mNFI%#fdPUgqU%6Uhl)OBIU
zW1e??KASK#Dmiv<8$ZURHQf2pr~}Kdd?JvO1GT$C<2`N&poM0Arlgw=2r17bF+bqM
z=tT81J!b_`yW~dkxlKB7A@Lk@$u2Ie^4me1aTmf&ck^KKGi^9j<y~RF#EpqnIl6Qq
z!Wht7cKGILZHV6^vWvfm2k#4IJlgg^1bK7v<&?<UFjmmaABDX5O#BSp+Kedf^^EUw
z8>4~%&#98yGCmCNw36KFERNA;qSZfZsL(_6n6NJ)A=Bi+d;C2T$TY&Px$6cMthg&K
z*4FSNFJpzHT7VQz{N57c9zX^6koYv6P63?k7IThBkw#gW?|ghGs4#;>PTRU5l0Tm-
zY73J=*;5e?#;#OIaob+vVJwXNljgUr&dH*e<E{N;?o`;7BORR{D}rlX5kJ28$sudc
zV;8tcg#!U~yv0MJDB|lXz#SrwlKP$bM+>N6`Nw5zhLbox3{DPQysCgHYnq*r->E<n
zHg*`@*n6#inN2895l_glH*_j%!{tcT?EEuQ$o1+jSk;p8YWzDQ?6Nkv6BDlYE=%M7
z*7u}}k4pHNuEHj2NgIwE&g^MBB7>u%PpgQZ%4qI>`asP^9UzBGc78XKMJo%c3fmwB
zGtTbzE|SoNfF91GX%RV$$u8k`?^Z$U&96oM+H^s{mj7Gjk{rI15E<nxSH%O5_oqBg
z(*qj0aNOgwJXYUNj?4B`!`+E=$-Dja;p+Agwzd)l)Qr5;9{EoVdv*5mhq)O*?|Qe#
zws1vE%}cYTxT<5cLxNJmaYI-RKBV`-oQ(0$s$(u+RY!7O)M&4_5hN@Q3#-kLv3RtG
z^-733in*jz^+y<k>qXi)YoZdmO?mChRZ+*pldd1Prka3!sq`yRUS+)P;-hDis)m9t
z+|u)frttK9kb;N5GLoHNNJkQ?$h0TPE27j4_I>!w5mcp&+yklS#`0Cr;gZSg!v!>$
zabNoq{aG0WYu18!?J2l(iKL!y3D9#YqOG<~8F!}T^@+A9;e$XX?<4mC>H<`*+vh1`
zP^n$%8F4aN_X&KvF%R(Sy1wKi8)ZDPvuKXZRsmHVGzA~%nuEp<$@HC{m5_Bt-H$jY
zhr(xc{==i@kTI*p_ufPaP0CK~ce^Qr<62i{o?b8qslD|l>n@Se?OSyKYlsxScROk#
z9$^klj{YoerHaVh`r9mcUJNOEVVM#E=5YVli@BsG1zaDQb4@7{#{52ti}OKq`0_Ta
z+qqR9>k^CPZsZE!_#Xz{I;uIuzJBQY<*giwYu#G49_2%ks6`v+H2~%xPZk*oSzK&L
ziVThB!7Fnko2(GvXGE}mV7UxtDk!->8Rf(m{sy737XSoBLw_GEltzQg`87IcH=*Fb
z8@5SxfC(qjj9e=z96u{t9eRTWEq_Pw7&p*B)vAB#wVeb?Y@QYKwPwP%4-I{Xg=uj8
z!sRXe=f&_s)OBmFXa*EDl`GOeYX<)7HOq%eMX*Ftu_@4i9?d$_p0T|)h1mG<L@#z>
z<SBKDd$ErWHB&n%-D0M|B%o6(7bS?DXW^q%_Bv7jYU03qKNFaXt~N@O6hN-0WqlLW
zb>i2Ftd%#-#vuQ&Cr7u3gp}(Et*N%_1lLo`e|}_Rh&h&bvhNum9%8CX^Xp$Hl!l6y
zw#67hhKAh~Qw1+3^e>Np@}|R63Btd#h7F<R?X97<HXhtI=fWc(M2|B=oI|yH41wv+
z@tta%Jece>D+UAfIO4;S^S;Ueb~hKNzIw}r?`|B}^63);-f1)ZxS(hNH$QTh?R>Hs
z<&KsId;Vg?;8$Nh?N8T-_1LVv4(*&cyGxNXi-Q?mSTiIUdGx{W*26_Rc}|o$iw_3&
zuwablixE=19_Y+4zxkHWfvsO#K14iZ#iU^7gE{PaAU`Ydj&S6_%mqQiBQl$?lPlBc
z^)+2!beM=+(&4}}3902PrR?bOh08NXNEg1QMW?izaNv4afWg6ooTzVo(9rR|4!jck
z>+<Cc2gdYqZ22R@h3)_5Gx-d3pyPQj-Oy_eyd%RCY|O}m->0pDS=zKAxyw;qdOIhQ
zrc<rsnRzihUhJ>;8Eu%qLw+zj&WTl%zpwF#@L{2a`txKSZQ!*ZJ1$YX8Jm<{rnzV&
z%nFwuepO8czUxh=(u=up^M&}oJwf~!RJTX}qz4uHUVG;iz2QcYAk$ADn*^{b>8IY1
z6cuVOCe;i?@nD6GF50RIVGsqy-}Pz17MkpolOZokO*hg%cp!|`zw-O<<!M2r;<+qI
z20onYQavGTE{elV%@^eSw4g5H-1(~Se5fbt@w#M647YAOH?V1k7Hle<@p{ru!g9K>
ztvl)^@RR4Hjh?C&{CK)o@$OfC40}9y#`m5S28V{U<cerPpHk?}O)CN@8{lb|(;<zs
zwG~MxNm|h3qg&yjC4^zgr)3I$$>5g13&)>{YJsO0c|<H+82x^A_*JdRB73XJi{F}B
zAa7$(x~pFVkG|6P=uni$hc;jK9&p^4FKOgF=qiSfM7H;NIV)`RPtM@&L@f|(_?~=W
zRva~q<`x`oD&pro{in3QYJq$A#RjD;Ni1@#y>|N(8SC?c>&lI(&|CQ^7u2P(UFX(6
zZ$V}3DUJD&T22N1ykpy*2+E-0)}tbu_ffF%SLgv_b8Wby)#f<QB8z?*OJDNiRIo9G
zBcgm*8)6%HM#TTgqG;h(?<1wE*m{<7;ZczesA-YER?N%c;Y)%?Z5!0k-u6zWb(Aio
ze-PbVHz|)L$84CNK2*o3O)ArW1NFe{El6h!DWGj@G)2ls1LvP;{u92W4|k5*+bVrl
zM2UXavfecfyc@JLn3`t*Ck+fHDr(61qQ$|wUP%)<GwwO~e=>yGTD@1~1SK?^2}{t?
z(8MYBIE_ADV=%28t5vX8MvDTUg9o`avB2z86Lp^n+^g1`v>H*yV<C!>Z3!B<&YWPU
zmud<hV4tj;I|bR;8INf_P)D9yOSk@fFax0-1yQZfDflROtiIo04VB}ROPLpFkl*5a
zxonDpcjPKZUd*fDmxByjbRz-olK;H6oui;Wy&Tm+kAl4$Pv*J^8(h>>W!X%@l8YH5
z_U20XreFN<(gAa*8dJ|rKSx2e-GZ6Dii-HS%4Xq1fjOvJAFTQ{p^RzzS?v24<dCV+
zOzv@?ImDSis1mnS#%sSr9$LMW!QtLwfy1lj5OZje6z!{ol<Wq_5FIJ>7=O~5#bg1U
zd@h>%FOu=y+iALcBr(j)8su1CFo)|gn^FS(6)}+BPKw`12t#*jnB4C+hmyF?DrLtF
zj*<Hw%uq!_4eRs-(IRsgt27FEsv?h9b`Dk%sXUnP6jaRTWe%=-Z@()n$>J;Tk<B)B
z9N5)$PryXp9DG@xt#CKWpm{T0b(<h7c5F)6BK8TO<*1jK=S^v}>+ejP(PzZBff|z2
zp#VNjQz27blK9NGj?I`vhp!JNB$vwpWQf~k`)7z_NMg<*bFCHP;~Vm^xda--{;AsZ
z=RZ*_8ah;R+G~M0PZ~a^(QXEAYe}5vH+XcL&^7o~K1*yb4QCY-Gy_q~+fskC1#$Y>
z_41=Xripi_@^70TG=(MADJ9WievI(5rTfr6ML0RIoP3#U0`sSHUN!9_;hsQ^a7oW8
zV%}vg$7|dewgpT@(v9$9t;DQiYr+)qSa;yq8)IX5nC`Z!nZtwp#{VKoa?^w-gGjgL
zH6sX9IgOdiT=+CVys%wxhG_LLf85(|2rnh#!X_3taq@gm>RG2*LU{08*$B-LD!g{5
zDCl$GKCOR#i9K@!tyi3MBHI9}RMW|CDmJ08hp_>Xyg)Ry@ZH?YXaL<)BJA7Fu;F?6
z{dJV!CE{$;U9m@=`oJt%$iaV@6%`(C65bZOLinDSWcKOS1NZ&S`(IyVLGxXCBN27~
z2xABgy=kon@rn+Ua-Gabdly;Gz)pv`f0cEF30>H0)vc@R$c*8c?t%u}>G5gdr<6ql
zT`2nRul^n;W?a7bSi&xa0ef3dz0j}J0pYr%&jfmyu*z&}$IeAY%t$Bg>^0N@=YFm;
zSGt%mg5&(x6mMp9>}H;wLT&gGnzNm5kqHNdKUj0DuwZ-Pq(|H?ZSX%OwM;Q(MuUM0
z+n#JT{3Q38tD%<);mTcZr2EYH*NI{GB^P$g_V@qw$d?N3<AVHR8Z1bi+F$U_gcFZ^
z3BDfAK?RqL?LtdEEEvCLwo+!qg$>ci9=Si*$YG0r`zs4sQGz1uZ=lYDM(*P>`FphB
z0{g45k~B7)G&s5R%#Ih0ryYMpE^0!tMM%iyhnui)^_+FaRX!{$pKWw1)Py?QZBc5!
z*zwJuTT?ZCB#d~H)Rufi6G9ocobNE@#LBFLM`pJR;Cg)Utr9U!IGb_w$Oy3+W9GA!
z$?pX>{7jD_7BwJsc*l_7X>Q!sWJO2u5k`f-+7+wL8c<Qm8!M8{gYzD3ZuJ_X=x8sv
zY{#qtPdG%T#j|<wL)sVr3q0aD=;9OX`br&|j_a07ZE%kF-8V1l_$1M?tsu@kT^%mz
zTtBZdu;G)O+T1V2q>=t>z#W$ubr>Cb$7-)8fC}5g3LevB@UW~_ZooBl$VjH}hb9W*
z^Mg%hoc^+y$oVWQtwJ554!K|ak5d?Le^u2vQY(l1?mKN&UsZ<>9lU>j-4nrC?$cjx
z@+zQvn-k-Vy9T@=+uomZ5<}YRXY#~G-V_!6cWrb{1DZ1LJ&jh9z_zemtRDx+DB)oG
zQt_xJ9Gt&#_amPaURb&jlzLbhjrkW;o_^H?3uhw^^>}H#FY-gktDA!Bjfn-uzFP2X
z`%;!mnhY*qIy@$3tBSww(7cP}s4#!bA=Ruz7B3bi?p>%;!zkN;uGCp7#O!!Yaeps|
zVgLEJy%5mYxO{Y%z<@Rkjoq3hCgf2$`MkqVvL=2!`n}C#P6wL4MF_g^DdL$<U<oME
zM3GpUUyHmRjArVO#A}jq^I1A?IWa9ft+<~~)>j|8wmSqiY*9k4Exx2JZd&+y>v(WY
zmjRHz=1M)YQpT5OcZ{El(n5!<xK=q^BlyO@EOAelf@6=~S_=ed;m6Y9gJNCAAhygT
zeuhZ}FUQ_q9MI9iBlq(jJ#;aJV>Z4T^u;Rpl5>^+W`icOaOLw|{I!v9g-t7sDynF>
zEMjCr(nNFP8k;I*fV@|SZm|ccqPO?wTfUy^sKilqFuMc5zokGS_?jy6QP+JBII7}D
zIoI$?4|5onlClW$QpHE4gIt%EmGP-mS%1=yIb58&yvLhY6=U@a??`))vG#jS&>w3H
zp#L2j-W#TZ?{r0elvT@Pp`U#2=rs%A%c3veRYk#XlG#mUMp<kY>9NpxW&y^nha~u4
zDx+;(hA;J*B)S$~we3O+xO}zHdgi_o`rci58C@uXJ5=Pha+O&?McxkGyY6JX)R-<$
zx5AG{Ecp@_u2?{>nytMxX@h$b!7=j%4_5X%+}E_RfVVxROj5=2_~TM(({>?tEad&?
z6t&TVc|ogOe?bmyipP=TDI>Cdj69X|c%ujNPMrSOE`y7_9>LEmRteX3@BD$?=3r`P
zar>XghL2xVGrl%GLr7nmCQOF`Vuat<SqVwv9`12Y;n@)awg{RDg#$D;PR8{FiecwM
zk459DZ$zZxrfygM4Ia3)$o6kV7^jpUNtTYc5I06me=FJ3Agyj8QnpYK7hQj($jCk*
z{9kh$Cxn~9WS`q7k#K&*yRm7_<s~#RlhCxYC8n^JHTHXFBp<fj^11)9nxOHGe9dV4
zZ33R<&c~L^c<?2c+Xw%+7c`p(tEaa~n1Dv)Lf3*Q7e=NJ@z!uYr<rfdYmzx+4F8=R
zRT@;}!1K2w88vgNX!hOA9N~A3poEi4e(e$)vb)x$9QM3N3mVigcN#SW#ZtkMcWNx?
zz|rtvIyake_DNq#GTi7d$@@H~rI;{HS$<%lrjBs7(YVZX%>bN*qT^oKGa%`BP}G_F
zw?x(N=U$OR8@{tmyQj914yO*Y>}l?ACmPz6a(lPxgI9+<-2SmfSk&}C;#B-XH2rDX
zGEk@ol-eil`|qq09d?_hOs{_@^d}W5zC3zxoG$U?{i<c6FV<|Y8s~3fp0%^oDMS}O
z@l5n9Q<jL*k@T{{LxTi`y^%j?Ob6<-8q&6mE)a3AL!5%DM+keiBf%xEI&fU6Qc!Gq
zo)8Y16OWJ|CqDg1Z~4`&4R?tp*9_x%Vnpn{#68<d;^_FUj3ozc;O3@(ec|~W@trdz
z%t3UTFe{22{Pu|ovugWmw8H0z&hvwTyEp#H?s^%f2q!A21rC+Zot-0`tl}&gd*_Is
z`i4m#ziYu<`1y{q8*@aEbPu=v*99W2crm!~v=&U|EDNvq&k+@zf8PYnE)nY4Orrai
zG+_tRSfu#zjXl>=_HR;MCH7|R3Ji(Y1j&Z9tRc<?g7SJjc`{~=kYkTaH<r<a>Zfh>
zoj(_dDeDhPhS7Am$77gY-CqNegflq){#+#5CfFtfztJP}pZ8&!CF+peBA)$f^D-f>
z^S+#SFC$v}!Pz^LYS6g-W@f<26+*Nz{^;SKO!zN1T`<Q`4e~fTP85u<5>XTHl1?PE
z;F5FEslYf@5Y_qnKJ5M)5w|@j@Z%{qT-@r^;Qd<#yz`mG9IWUt)m^gS@(FgVz-K&v
zwx~eJX?|U0XL@86;D@qAPHbC!`P`#~0@anp^um`JP$PJfrEZi97fy1KW8^3>wPSwW
z_!A?h84@QS*YjYLT66DOjxz8%-6G9cFr%lCUYWTZANGeeFx9Cj!;W2__V;zNpjz$K
z$cjP|YRccg+VxxsoVJ!~^(M06F`ZGiYFh#Hz0jI+_k<Go-p!=(oM%VBp9ix^l0xXo
z+a*#WtOUYAG|$dxP8@h_rIbJtLHe9Y?C&K5i%n`s-5V}ci`D(~Lt6|*x0^GBRgj_m
zWx;j0%Y$fopfWc?0>z`;Kr)vMs-J&lgf8-8iZ7qB#JUu6seZoQS4f82Pa4LVd`QTp
z-E^JTQ3h{*`Pj6-g$z}R4>W3-1@K6*?aPrSSu~rH7=6N{1bqoj(I*=OalW_mnxdUN
zRxn7suDYNE_xtZ9-@Gl1bbf;L<T(XA^iOi7iCY=6B;y-{GDNZYkO6~B2^q^-zs`Q|
zR0g{<OE;fC7sq=iEq3#UDPzI(2syrk0-ye?_Bp;;3b%XLbF3dy!L6+3f9ttbp-REe
z_ECd0`Yc`R;ohc(6Nj!)GLqDQ=I$!<kX06?U)roJXlkIGdk2@Ws|J*{R*clT$f1?R
z#qH;=XyU7a<`=c734fwwZ%@CJ#|5d$GYURh$Skh%X6HXGsCaEUYoe)$U+V4eA2X+7
z*CpSltf#bLxa_&GNj4c{ydL~2o~I&Re*UB6e>y<2I_|E*u8idu#!3>Rv~fJEHrug5
z4~{%!p6T20xR|i0-|RoMk%16APj}A%VoR-addpNWYx0tP%$hb*9>sszoNokowbVU}
zdsJ~=S@CaOmo|3q1d-Az6G)WU>1o@ohH6G{KQ12CMzxcrL-g;>pyE=+TyM5IzHHya
zNV`MDL%&Nuesc$CHemL5Bx~Tmpkk6moE9dYpLlGr;dk|=mPcYwYT)wc%JJR}KdlmC
zv$(2d0k7YyO*A`dV2_n^VvDvK((Yf}JvC?nnbua*<%{YY9I{(Jy;K?dMCRXnp0|X+
zOtVi;JJeBdSx8uUMFG9ee9(^SvIP4}KQ|rOtA;Oc3LITDltpp+$;iu`TVO~$#Un;Q
z6`yqQ4xW;gK)JZ~#1q0>V5Ng~l_Q6ORjL`&Iy6Cyo2s)lTC)VzgaCn;>q^K{TCCSL
z#f@8Mu06i{(h^R7*WapTM#ej*GJnW@WkPjIhvBTZB}CpN<vn#*z+V4F?aIgV1nJ7Y
zQ+X_w;9O5W-yOH%s~z2vSEyf!#Xyr=h1V^hWv;^YeX$HiZXNgeXwyx*H8#$n&1V6s
z6E^(zHBzYKM>PBEPtqKlE9yfN&4D{pQZLa^9N&BJwdPJO&|;ELK6=Mt4o<BH#<K^6
zQ8KH@0yF>7W;L(q23`TEzIR-vqEP_7A6~0aeM<)>9)yG>JHV($U8dnTKCHPqE@MDq
zfV1O8+@TUQNGiK<dZ!i-{&tDo>D<l$uDDqGQo{_sv3$E=8Me`nR~zzglNlj5nnUZt
zPE)WdSo<{3$%-}3g4d-q7=a^op(^dH38eP0RV{8}M5SiCAs0GEuv2=*-j-zy^4xdg
zSNhfn!<H9!Zx%DaP~>cPVW$z~>8{Kl_E;puf_(Xntr<YeWbt)6zY(|{zCEj+KTW7V
z745y#OAl9E&$0_1G=vxR$=qYCe~5FsA6lLK=)urvFgm5s0Q8cavt9dt5?9_SxwP}r
z!`{k0V_B>EaHpU8=51sL@wvdIt^ny^hk>v<?$?JOJ0+98uRS5!ing<GT%rRR%7|S0
zGd;NQADuJXUxHSkU(L*ahz=}t^Od{A^x(=BBeG+D2aUeS#h+;p9gKF`lQm;>;U3@8
zR!^O8wE2Kvsu2h1K-wbXkmm*`pVpV^Y#jYfyI0qH<9Q?<{8LL;*zchO@s05|{Rf6=
z&DK*@&zk7qMV@X?(@$;aV6YqR2pgk`Z2M=cLZOG-*^hd%k7z^MQHPmyok`lH-r|eC
z2lT*J9nk*jI~A(jFV^1>n5J3U(Ocfy!2s<;47&0ssIW{{bcE3vnp*3(UMf2yOf=n^
zE&Hnl*VmR~=BwvuFFKc0iBU%Q<8ANf9-;+_Yj($z;umPsPlQhSk28VivxE6oTv{Of
zST`f)#1d`0cbQ5Hi3Rr7Uk*QTPZP@a4oI)=UZGW;iB1f0VTF_X0{(k!rU^yEhh}?s
z{G(<2TW4NwX9Ew{sj2cB4LHzl*f(}`omLup>AaB-JERx?xxP-P0Y*u=0cTq10Jdi+
zY8i0C`niv5X}0R{-0hov(K0=ZP`SmNG`V1rrmr$tqy`mZ-R;q4j3AZFG~=(v1F8S?
z3zIji!S~$jFaF$Sg5qyO3AKlLp>S`%sYZw@cz38zbn&r3;jh)^!3TV>S{}JAV_pT?
zhi^_EC}M@A-T-|DA%2*`?7{9(709|?8J~Z26J)uu6V!VGVEXo;mLy39QahgRVWx3_
zWNS%wv4aq_e{r?!tE7Nk^u_6KTQ-9MOW=)CiU_PQ{Iq|6h5~2HriY&daD!E5EA^z3
z7(9-6S~#mm0q)8Z${b@n@VCv=u-irgnwoc+JrSS)!~8JSMvo69!@Q)MbEQDXqxtQ7
zP6~WUNsb-MAi<vjE}5OYGO%rqDLhDu0(-Y;RHjM_fV<tZ#)VU|z;-3D#C0zPTDFQ5
z{2~NFxEZ<}I_2P=EHUsTp8`FDuKy`U2*Z|}V?Je03UDCwbb_qB3Ro(rGM+jv3I=0;
ze3K>>A^he__}5kyNDug1t$s=z>f-N=pS!ID)4AnKA&*qS@=)A`V^<|%7ZZJNk{tz}
z#E0LQf1w5dO+d20C*1mUSUjYmWJ~n9RFW!0=N4>s6xINb>P#|sh726hajiPkr3Nc0
zBr$N-gwx0A52f_Tf-Vnf^j?w%aOkZ(IlNN~Difd1@+ruJ;fo2u#Y|23$^2^DEjKE3
zwaqUw1uB3Ji}?9US1tI`QsBd$uMPjDr!RIkD*}fX-5@_F6}%n~=)`gB!q+F`-(N~7
z!NY8$M}{d>$X#CH5Xshqige@2-V@4jP3isPo;fNoOb@0<*&0BB+s+jJObUqZaSLdd
z(S{wSJ(V01M!;w=e=4X_1p;D%n*Z=>!;JeYO`R2E_#XfO|Njh^hd<R{7{|$oOUNeM
zwbylBdwd_42nj_hDoN2MBZNw_l3#^LR?2RW72<m&l0^0{A<D?!>*pUhuk*Y<&pGeU
z+r6*VGV+Zg)Zo)Ens71%za?>w{m_R|hb|{{LkUh<cNERbkij5{zG$orgNkUvbs|9-
z-l=Sq`<Saj6^lUl(JFw{|IC9KPAS6&ZxgXZ1rq$cSo*yFz9Fa<Gka!UQHItn|0~&9
zN`PevvIrVb!Hbco)1s~no{~AQpQp%!xp0BVm1ZggE&KLqlqdl`ed>vU<1!HKRq?h~
z*9e%j|FGYmRRk?zG+(hQ2}X}^|8%@#1c#58yt128fYp)K2<;Rx;QxK|cwU+j&^fT-
zw+rOqfwAXNi+VvAq_loiNHT)6W?QbsrgD%Hm-&&SjvF4Z#Y>LfFoN-k%k*jGGH_8^
zNwxMZ8+hLLRsW%71TG=wQxqO)2-EW2?jkZkTg=kHtr03j_nz)1I1}MK!$@iA@+vmC
zdj%K0O@)i^dlI{ICE&`kU(kOa|6o=;Wi3e@R45pGCLpvT1}pO%+UEa?F{Ih>TsqMZ
zj{XelXnigMz9UJeMwAEe9}B-ah+>8ytyjxa=DiQzaNLrbY@EP9z7lfL$^aNo@xEl?
z#SgiJ3uPXabNJ@%FYT5J0DF_Q8LeONfX?lh%*1_5xUd12k%ub=xvN?J`x&`_?ULp)
zr|Amrd?i5eMUVk-unUz{rEq}G+mqJZw^s4>cb76`lJ$YmFWeH;!wR3tU-XyPR&koG
z!IUdCdcaY|7bNwA2`Xfg&g~vw#nW599S)t<h1w?9uVhmO(0kn&)$h5A2gF~_HIdPU
zpgP~D0_?jWTlMRH+Oid#*i2|X?V<zE2&*nXPHkayd(MBy+m>-=$FO4eY;A}<)$t^n
zx{8fB*{7~`FX8&-X7rr%TJT0^i({>P0ULynrtR)U+)GgK?SPRMT->nC>@1tXTAB|G
zS`IGY;mhToo{5?uB=xn(!Fe2$J$hrvcx4_hzN9F3b4ddt7EYWc%Zy<El({rM%FN@<
zxJ6Qiy#|;YMgPvT8NmE6*a~NP&f#J2L_%Iwssq(7^OA6C8<xo4bkO4GEMCxjX2wQV
z9rm74I2_JXhXwpYhXyXs;_7B2-lyX!5bJ`^+&`0t-Fwmc>7DQ_o|ZjnoI#)fe+=z|
zr>uGS<iPHf$hjHZiOR5l^^O{NHAX&kp{c<;e!ZdAOw8c2g3bFiHpxJ}s&v&us0r_#
zjED(kp2bDYQx56|kijjnp!ujwJHB$|`jsh*S=^E)gLYy|6<FhYbTUS|@lBBpHKD>;
zyh`Ghp29s<5Zi7LoN^q%$8#J?k7ILqR>k=@BW$YB-e&R8w{;NLPsNkPXXo&-D=2GM
z5(&HrS2ugdhHyIudn>gs^LVCD!P0d_5=7{F2D>be;I@%J4N~eC@RZSvGK<?P&^xO^
zr81A<=}&%{G|nvIX_3zALT{A8A~ZBoR_ZTa)%CPE(r6hk{6a5I9Z~|1lw|hnhbM5J
z<eX5>niV{uAo0&@AtjJG`mRtvVG8HTe5lHCeGTUuRntFuQW4G$SI$OmPUF1C1W)B1
z*}#7*9r>yCQUP{_tc2zo&*JeV&nluXZQ(L+&!suc%EQ&YM-z`epTnPd5;<2+(V)T!
z%NO5_<zZ>gz2^e|0?yY$_oy+87M0#QJ(`^&2Ly2^t?bu}_)3h^_%bIQy1Tbbl6zYg
zv^g`~7|t!@85buwZoi;MDh%~}`_Icl<S*Z_eCp1AFUQ^d=*WnielNk@b{SARk`OIw
zv5pfiFTe1mG9eWjeia3C8Tc5Ne_QbGCSL3iA^hPO0g1k&3w-xk8t9+v>DEne<MUqK
z!^|&P5lh7Gm{*q4AZjvj#@>P!aoEfpHI`#X9v!Q;-}|LN%`ErapQ>GmN9jyl&k_eZ
z7hW>7<t+szQ2{h9cJ%1luhY`EZ*n5x{@<|{f>Kb=|L5C%E=F`KT1zuQiW}+i9X!ME
zl?Y)W%+ej}yHV>A_7CPOJcueP`n@`W2qoHn+IgG=bRa6os(*<Od5jLfyl{*Nl#2ZS
zEF4+UnQ7CfNkl<pG{bYqRGSDf@7(_=4zQs=wo2+vAwr1oXp@sqg$T12c>-&V94L05
zc72GTD7u-LP|vTwbAE-7Ux5WD8n!Re)LjrmDMf}4BwUGb$C}YkWQq$_sYyLK<tu^m
z%srC|3yAQ>n$F=-ArErRb;hWIMC5UW=@o;76!@(5H7GylLre=651M<VP@qe%i(r)$
zh#H=qYb+H&58r*hNK+z%lDZoltD~gh2c;vcc4Z%m6IY*&dL@SrN8R#!6ek0nZB{iE
zE+VLNIod9wOaa+-CiFB7%0k9jyN&EXF;vT>|9i1h331)Z^`zX8hnpps%7p=O)bytw
zOg2<d@hPt#PtGVpsPM;}VJk^=xHN!ckxdo7k>mbuo2?9o^j`)Uw-OQ6tmV2FFBv5k
z7+&6=LxKRm3es68Y4mC8dZR6i8d@leV+$se!IQR~=l+5Ws&3`z3K>#E_^a^<?-?}+
zT3AiC4wFNXcig?b|D&L(#w|DLU+O?47sTCSS3ne>4@&v;>d5wTLbJuTCMf1zP9p^?
zqKJHzuMHG+)XsM7Q=Xv?Bvo_?bGIoWD~1}@QZ98w9m|QRP1FOG>Pzz*3(6=Yv-`PS
z0tLBEx{s``7(n|k5%t%-D(Lk+^GCc@YRFgTt?BC*0C&%M)lTY?kZXiBlYJ-|HEf(I
zj4w5WJIjqW#4{wsm}1*1zDh#E;?h8PO$CNs^2(maNoeq}^<{Q*WpwZejkl`55umi*
z8B0kLim!}!|E(*J25BgI@A-^@vOFbT6QqJB7rcW=OHv3MylC{~jxi{k$<GR%QAV+z
z(;;2i;)w5+oQzYcF+?Z5C73TOqB*z4COeva$l9pak@bTyoXbg~AGB0J6`F5Rx*->$
zw&ZV6<BTCRt0>dhQx2uC|0=VJV?tMY<7C{-jX|3tc=eW#3>r)sZuFa2!97(AClZE@
zV2bH!f&6(X<o*DYDC%#)eT6vlzqlEJbkUFL)ScXqCDXj&y8j1@%lxAw@rw!#ork|%
zG!REo=k56pKUl^3GD)<lhpBK0yS7Q=D}pNCoO-V}NDGDPR{y4}cer0~^zKZmAo59-
z&KS&O0P={<^ANHj%$r^>3*O{K{47rnojJk;ne?x&6lDT@IJ!-5`jiW~x?Wq`+(&@U
z@TtFZq5uxg%-=nHI1uMM{z?Wi3&4NIBvu0qI5rC4sv-+wyja`!8nJ-7*&6+|0|wB)
zYR48m&45w^5(jD~Ss*Wx#c=JEJ`h`2PQ<IyB6~}-I}`0Jkfn3XmwZPLzTfE8KHjy8
zC&sr{D?DZa3tfZBvu|`EpK0&SKk{?<aTzt|G%Xg$P>#4z^IHdIeGA3jJQ>AxI?BT+
z-2`YZh*`WVtpg&Kj)z)e+wt$w3BpGM2~b_%Bs6kO8%RA2{+$g^up#3J_ou1^SbaWk
zp<b;8?ZlM}1;h?)D3fx|Y=aqC_2R{T3TT19q6L%awPEa=Pw|W4A!d-imM-n&rwQpc
zZRKw66WA4NyW%^4nIYcn^IprJ8sL`vDtz8y7K49<eIzadNZuP&v9izr|KaG>`|lR8
zu^Pt$9cKdUW_$NoVu$+yy#IVt8kVt^N82x)cJ8l-5e#D~>d@{P*icxohIz0nsj=Q*
zftc8nX}1d~;P|J<*W7CpYyZZZ?TxX5l~o+6RgD5aRy<}G*l3{2Dyr%uc@I2E70$X{
zp$7VGDb`7jwD4`L)nDW=8@MM*UwL>y4NN?GP7|_sL3)a{($^Grkb3d-HfJ9ho>UyS
z=v<@&>&`1Bd=EH4Emo+Q=t+jF-7m8&%o$+GOWShVc`vM$4cN?akfF<-OUfsQ5&AY2
zGMj8T!N-M-xwuFb&VA-QqsYeu;V~;C`6sxbt>mal$thKkPtA=Kh-ZdpP3k7uLEP|d
z<9&-YyDCIi^TgCDvVeo58}wH3z)i)`nz=d>jB)m)J?mqI)PstqenNZ@)D-?%G?WAe
z<9|K>WwJqB$Cb8<1b+Cw$d%@4NrLE3E#=Jv9B^o^TkShV5JbGQ|GpF^0mIB+xjC!7
z(DUU$c;oCo$ospt&OWUIbgJ3iy%#vaVeOql;&)*%<u<F5e6IpD(PNWx30$CW)m+rq
zA_~{`s>~NBs6fkC>v-*cZV<kRY)03_fKdHtff}O%o|W^eR83xpS;`+{6_J4K`%J}g
zxhmjw#68<Gmk*vNPY-q5NCLg7wNd>q6_9KX6_e2rfD(&>{U&il`1xCcA|^rt8{aP%
zP5K0(Xd};|cvK2%zx_GZc8Ua_v|e?UJQafY!?#Y?8OeatE8&0RMI^|H*`u@SE&?=5
zs%GRISs1w(DBvWa3j5<K<7ZUFV2zkqo6ac@<rFO<F-H~5cKL{FlEuM>zWs5OzXFt3
z*{CyEkfHVAC4m-w2{6&2q2Jr92w2ncW0A~iAYo6i$g`FN-Y7ZZl&msb=hCpO`>h5^
zc_S|gZbUdyO??`4QUwnBEu@GKQXudIpGLrKDJU1J`R1uXg88Gl1d$bWm~rT)ZH$u!
zpC;;u*BK-@TQzi)Pf-(c1Tu^nU&ugOOH;As5()VB&*?DvX~C*V-ezd}&OBD^ua4}@
zle(;Z)3H|@0(YlU_C?FVW9CYGE21jgT9(`2XQm4RLkX4|r{w|j(fsvmnFP~));h(w
z9{kOd%F<<5fV~-O`-~GwkPwso2qzoBO#Iu1o_GaNY>W-S2_&G-Z)6N6U|@TkX4`#U
z0ZO@^u@jysLzK#>T!-h5Zz}wLe^XcyY{JizldBZLq0-trl3)nBXB)VuI2GY2hrllX
zBzY*!-O!VWGK88Nr7V7}3ZS>|3w01=A-{0kQDo5&g6%RED;yOdX>rl64wr)eusKGG
z5f$cIJeYKg<iTq5=D+>QlE8P`-Set9b;pY=`1J?mVDS0h@Z~fyuz6Bss~ANEpVsA9
zw+CdQZP@9}jI9vVQ)<H2!l^JRwMFi!kO2-MbRxEh4<rXVuGwCtLRiA+8~m0uWb1zH
zxANrzC1srnJB$jhEXSjUNm4+CLQRv?>~Qi$<DpC2hR|W(rd!u33Aq3H`x~E_K+x*q
z2j+K%@ab|l_XS@G=oLub_9M~(bM*cQpA&|#@nqkDy+Yz}`b$N7_rwNfR&m}hZ5^OJ
zF1g4!S`>aFC(nc<ix{QM-jt94KyC=t7u*m6SDdUvdh-uEd!N3lMipRkVZ}H#ToCrP
zsENP*?>EM%x_zK876Y@_ck}7A`9Xr5sF~5Z<4-ZJW)XD;@H(XAYX=7}Y@Teo&{^A#
zU5nAmKfR_8gULNZ8l2qFz|G)1?c0P+DsT3ssp><p7z+cp0VmM7-SU@L|ALu+|K=oq
zMGtyzn#P`r<p6)j6S*3h^;l{4iF)VPx)7_?f8?$#8x%g?gE94d#blk%3g*t~z>Vaq
zD=&Rn;L>+~hto7In62)UU7Y$lP<neH$D4;4+W#9+64mLzOmhzpCPZmN>`X*T`5GfI
zk&yUJyI#z6ebijxmlpKrZ7_^UGC-)<sXiOFL2POc%gfWz0_GpdT$WLEa57c?kfz!&
zw)iX{VmUz*D1_<X#wxo&aAx|edE_V-%$FuKv91AcYja}FnP?#?x#>3x^Ejrk<`R4M
ztOi_Jjx6HlqJgAcyN8Cdr?A)6LxIq&4w;Hv5@zvRSaG=Jq(R{f_JW2j+67aGbwB-k
z>5iKiud}~jdfFVONOyx!Qb>VAUnCAEU)#XeH`d**Cof=HN;g(T6e)0?Q^Lu)VI8wh
z&PG0YOW1o`am@$WYA`QvY5K!;9qYYn!ASkKf@NPkcXv)!4Spu@`5>cptg><1mXmQE
zlfgXVjbD@DU5s4)jT7sbNZD+0+3`*6m&2SzpgI}6>EGW{%2~%G8Qk!w#%-+S4r5nh
zwJPXtl-l7+8`#njC!;)7TKKL`E0boU3NL>4E0v9IV2{g#gR>v)g6-3;r{aE-p!~zG
zo<nV$m?)v;J_j>Btj?VA4i6-O!k$X<(fKXRRl+=HJdpvchB1a{0TSFcQ6Ei{qyZ0>
z$*Z2`yP=kv5E|mC0=NYx#`cE>wn(!L!uy!PrP;_i_QQ^cQf&o3ex`-?H1R{R94wHZ
ze4Z<pO&JzV7=7Anc0qmui&nYv9#}SgGOBw~2`cQ5mAn|B1FhP!>O4PosAMnR?rT;A
z_dV%7ZM+Pip+^b%vBm+%H{DtEK@q+k2%S0T!3aWZFD_La;e;3Ioh6zd6hMi-__X%)
zZiq}DB-MZ60wJCP+7@F4nD2WQOc%op1O1iG*H81nfO2!7VV^ws6p;2GKFtE0wwvy%
ze0-pC)+%iCwmigaCn?k0?|}!;Uk~`t^Mkjj?2Rf-d3cunfh-%y4k7obi3Ll7Flx?<
zN72fI)ccp^e&Za_-=(R`E-4Jd;!mp^2IWANaOP$Yi4z7cSYNs4FAA)2FW8}54ptrS
zEjYw*0jpZdr1`cO?5}J0Ax_9aorQE<3KtK&>|D}hKPCbCMpCPC!tyYFftFLEkQc0`
zd3Qy9mV}tGfWslz<w0eiT7;S>KPauYJ(IAMg0q@KLX*?-P;<!7tl3r&&Pl%#a~qR}
zQX&5F#6$%s9@AG2I3@&TDvmJ|F|xp|Vc)Fhs|Z%|E?FW$BJi+Eb7}sNJa}9_zt9@3
z1lQeEJ<d3b0bSGgTrDm|NKI+$zcZo?Zb4hZDskd~?zUtm^e6%LSm0|qMuLB*&ZmFs
zkbnmPZo=I={a`&mWsebA6<o^?<|K*}L0TrA;e9#@T;n&t866};_N>r#)g7O<H*HPB
z-BiKv=GX7N(Q5F@$@%8YS7|Vd$Rzsml3{K6{M6_w1zw*mH{lSI1>qA9@)pv`z%9nh
z9dKU*iY6Z#$6b_znuZGvjr3|zD<0&19n%6E7U71oFXZ7#>u<kOvKm+~TSc<4>p=3t
znMYpL3XmU1yI@aLgXEJxeteqI1=qp53@R0h5R4W)l-tN~iO4T~y;~nHIF9m<hblpH
z$4JdXT{8F^h~FtJ#lXNdv-rV2WsnZf)(t+X3PjE(q8kpNFDblc;-L(+yIZg5>62j3
zD;d+pXhYC9{Hm)HtPFU&;N@F&O7Jq(VnS_)cO0}I;sq>}fre(&Ew@x2#s<VE6*{Rq
z?>ezK?5h$~ul&^EyetE;eEQ!Tjf_Bq{w1$EqZ0gkE-DsAPXtE3i<-ufMiBj&{Y?Rl
zBKX^Uy6gX33^;EMh%x6H?c^z6wE9sVc-RX6SRp}}8%TbeoM8k90-e~uAC-e|?@a3Z
z^SNQ8^HMPX9V6(j>^-|(Cj%^9yF#3=vVn7Mq1;15Bj6RP$$lmx4X1W7w_W&754LNr
zMIn<r{H2YmJHFF@s;Y6iI?^iU&Bfe&GHi#}{G%2uZzQ0?@s8vD-D8-H(1Cmc9~C?W
zG)0Y9#DK>45GXq)VUKL{BR{7aLZFnB;o&3^;OqL}s~0wiPhq_i^iqaUY9K#db8#OC
z{&!w)wtfniE(^E0kOSZ)b*<IHg&&p<3CW$Tn#U8TuQKnfCmae6Jzf&c14j?@S?LNd
z<1|zLA&;+MP{{X<FL;U*jP2A4*bl7Y7u*tghVB|b(?iz%`oSFV=Rx$Rx}Y_D^%O}k
z_qjeK1(i+KJ!OTXT-zNct82Km4{m1nSr49FE7iP|zy#MtQnn6^t>LBiUN2`BbV1wU
zP}1HFdKj~sep~9khJTW<8aXJh3%Q5Gvbb?tXk-1`f1+d+PpNEh;B(ah3&sikq2f*K
zvh_k+PU{N3B$bppk*f_leVu3bKU%?VSIX_l?p?;8Mf~$Qy{H8)A|ZXfv<uj$Gc+n6
zek|dg*BQJCCR%XW*30zx+%)FNI``_v#3J5e|NL@fk|wa4pnvMEe=viDE=_a7BHpv7
z>)pK-4VZ26R#goj!YreQZAGaIIDcO7zr5obFsOL=z2#yLmem<*KN>%eTR0JEN^o^(
zUDni7m;8=#882`!vd`o2=JC06^6KDz@4xr=N-D7xRLWbGGl##r>VER>QwpF*+3}XV
z-nhN~tBM;J=J0*js+WGUQeg93S#E(?CH{Hz-~f}=9G*M1C}R_%2HxY|D$}B0@qb)z
z9*&=w!v#C%Hww0QdiVtkyDIZGoc<nd?70VXxP)u%@UI{;h`w{3&5rHHqd6ONOGf8#
zt(j+npJ>To+4D)zB5VME9NOtD=Q@vH&Ym>D!c{?i>s!x~&@a64Q)!VJ`vT6SH@mLK
zsS34jJ`Iyj!?<AEvA~d@3%K#wgPl34Bw+68X}5m*8?Ug9*y8S4#3N)gIlW0Fc=g92
zL%n$nSNq8-t-iU0%NcN75|2=Ux@J=zL6&jcHciU$iRB8Om-$O$xKtVPIk?IQc9VF~
z3l}=O##Q`bUz3gKloB{x8(FL_`iC3wUY4c}SjT@C-;!>WRRUibp~J%oGx)coB_)}s
zH*uc)t6^go6~VQuJonSzSv*DYZB~c>Htu1f`u0Yl0(cC|DkJN8+)K%3Psbk`blciF
zIBJ&y{3y3M^}J;PpFID>@gijxLN-KU!(;MrdiW8Sjr$V*PVL9@mUKEK<<k7VvPcf@
z4_I>ykyh|`Y>uh)nha=+-EdW#Uk=n9In|T-*6{O*FN|#$7}3PIXVG@BEL18E*zb|s
zz*p+%t1tgxLe*oz=2sVGpwld_gm7^SuTHJyJ-$jnyp!8mTi0a3#aDl6=o$@L&=+gC
zXSN3kMtgA_n3o3gFgek`pJ|br*QUtFHg+^N@}-sGwluVIzV_z>I>h91>2d0zy~yry
z8><MPG^o9aeUsHkkM_*`s;lkbM7fmr898NAVCgsF!jZy==DJP>><{Kfg=_v<n{HB&
zJFhmzc%KP9XM5|dX3vX853vfDNJ~K#9)|~I642V)z=R5We&iY0|LEfa5z^|55;GTA
z(fQyad-gCv#OmK=;MGBdHn9S?Uw-U}Dei30!9PN%Ln@~A!B-;uH5k!2DZCe5`#Z^Y
zB1jb7Ww&``+e?IjZ~rX*CUc^tFa^ziDRD%@Yo(vgAO+fifp><08`(zKHj3p)psdgN
zbxSr<@DtPJxXr|ih+7VQ7tM(1^O%@e_$MjoI2Nv7zr=@r=-ra=Wt2vzR<0LYo|Oi7
z@{6|1djt{P-3H>`pEAhPUZsalT?Pt&)OICV3Zb6&R?kYm%b{>CGiC`xSy(j8FZ@y}
zf}Zgf8=7<}Af-Pk8kPUa!A#}``E7<6;`yXX3Yk<wKR$DNSjs8Dnt>4yg-!xBozHvU
zO-DirwQF4md6mHZ&z`n~>yk*s>qg^!HdQp`^F%P?lnS)@=?IR`5K&4*(QFqR8Tn=@
z2zbz|!hsZL$6-Hdv{XK?9I#GCWz1?_kE6(N#*9|9Vz(?R;7Tow`l5zxDPE=1rWEk*
z=F{AKEQeM!?Z?q&3JM9d-bbQnfNtYNX%MFZ@~d89WbdY+%!6j*r50MCdptqX@1`OO
zI@fEKwnae|nqdLl_jEu{_rhXNwGv_-+p}M=gMvOdGroG?ss{<yYY&>cmC*>DW1z$l
z3TmfI^HG<?;1%z`wU|N`bX;aVc+^V`l|SLEXD$GEASGNtktCtrOFn)MdSv7ia3C-5
zgCVp}E4=J9A|am!r+~o%5?VIfy8AhY3bL0y+OBAk(8NclYrE=|Q2N$E#CFXHBx!`d
z+HI>Kk<TIwp^b7VQ8Fthhrt*cYJRuWQB=@In$H{46e*Pbl`U`Xf-zLS=5prXQ%3tG
z%wF4G5=Z^gg|Y9S8H38p^2+MBipV*A$cXSk5FJSsRNG262IKW9AhRf-@Y3Bc&yl&%
z4dtm>OCMv96BM6y)s#a`Ut2c*buppgV3B>z3dRr_mCmwEl|foIUy-N48qV;^u-&@O
z2)KVO@zLr@p#=@^<$E>Vc&q!cu#cq?lnXC?yR0IK`VYojf2T8oMI2$X6so6!;#Do#
zGqU1{gEms5YVR^enww4ErALKtYcyHAoJ0`KlJ<YWAvEyBoZ_AL+7NdBwC|OPf{0Vt
zzNAls9u5f<kGP5%g8j|kCuCXpQ0?Gd#wVSOFf!hg7Wf1pg6H}6bSW27iL8uVi)Vtv
z*Rw*8?FI0gJStQ5k^_;3`NJ}Dnc>dv{*s$JIXZ9T6^3N6piAkkpIo#E;M8Pav#4SK
z54&92uLU!rzQfm9##{)%t*sf#cR(LPduV*C`e@PIt<!_EmIUY*=w<V|qz5k-?nXSb
zTgQzHO$0|+2*9C=o1A~D3p6F!Tx`wrIFD;hyW=}%$h{$&PHNEs=KDiDWs>7~aoB6O
zNo!`Xw)`r~$*BXX42DTDiv4)c%%5lYJQJk<I2d@uK^p?BPknO_D98T?0096043}ph
z)o&EX?Y;NjT=%-T!(P8*Wh5&_DKjILjI`*ltRhsRWQ)qGM3jd67?BlPQV1a-AzS!+
z`+ad<oaZ^`^Eveg%u|hu+2HV38@zpm9u)t6PaJY<!`xIZl%^bI1Nz8$h7cw_NcJIU
zh;I*KpW7r}i`%flv60WbM!veRZFMinqI&}CNNeJn+QkNf?TWu_-s(UjEyhS^;x|SL
zKR>bU#|DO-x~>*f9oSrYvzA0&!077R?`M~=0pmmQ{GUbIpm4ILSDU<qX>JKioZ(}K
zku8g!ZE<ZFc+4s6u)TtnO9S^(9y@e5`<Mk}Xn{dDZG@#{9UC@YuC&_60djoj4>OBs
z0VssU=jd!=<{_Vqu4!??(VuB`UD;I7cPl!2s%9J0d3T;|!I%qJe3P?iDpa7N>uaK-
z^ngE^D)Bgs8#;gcz8$ZnfMflX@DCRT7<)XqruLBsNSEXq_uElm!keICpUDV5l%wj~
zWInKW6SC3%Nd{Lg+Ee>+CKzk0WLx9shwDW#W=}4YVZOF`UkSzn#+}y?Gp7LfH6ER1
z(;$O_kahEN87t7TDc0sPg7B~NQ&`eh5;%3XHP#Z?p>~R8ZPHE%e*blQnUO+*W?WqK
zo<<J%G@45?&lCm{3#~lQiUfPnJsqA1F4!P2WLD6NLNc#kktRC{Ok&j<jCb*X7^msI
zxFj*KbbNH{%RNm9lp*#dO7TI9mwbzYmIO3zG+N<zYl7o`UcE!A{P5!0MD&|&Nyz2z
zh~#6^1io{YOmfx&pz_k{VbrWN9BDVEyZK%Nl6rY894`pM^EsD=1Ufm`KP_~PzD@&%
zC-=5EwFyD`@V?DSNqO+Q>Z`N0lZQ9UP6n!rz!w=)YfBpiC=((|Ui_i~VywPH<z=Ff
z-IL)idPNbgGBRHLD5?o-nO7F)OvNFsq50qbJ|(DF+se+4)P&bxZ)-pQD*;ofWqmH%
zD$vO7Q}vyZ1QuHD9DGO$3LABwrRC#bv6#F~@*+Xm%xu!B`!bN#J`kQMfQJ+3=~IV4
z?&PQQT0T0<LH@6Y9j%E3Fux*N&U}On^l6zqZx72ubHEUyY^%W<I{{1Mr9iBw$f2k(
z1$Y~_`t{r~b=dXX-$<>W0vr2}1inaB1Wy}|g1R>vkZ849v)n+1lElo~jK@lFx=_>n
zEj<aGg`LS>?OO2rP^6rDuQI$kZB194OoAa#m84Je+7O6+5WW0I1zO~ctAsa6phzCp
zyriQGUc-TvtxT#Q=Vw=yWJiWT7UMwn3_bV}B#(GF@xY=IHJp8l4E`&Ds-A2HpmKR-
z_Sps=EVouAl24K$>%JtVG|><sKb-icn*alexwBvN$gmZV;OE9?3?k-^3FM1vKvdp5
z`L2ru@4pPEo=h_V`|e{C`&o!^GqBE;U4yh!SKj>+1HjTdF;mY&M2P7-u9yEz1B!|z
zbx%D4U=QtKtGz%3z3$Pnz0Zjd>~UJV#mW@4CA<zC4<JJKK9&H_69k}ngu9KknF7vH
zKs`o`2)<kW1>93O$eOFocP5(wwdhX@dzu=Yr8A4Luuuj$I*zeFk!C=wPwtWKBLG`{
zq2Q}D1^6*#A}v^I2A$vQ!yeDzVQp92`y-!aVbt&r`mfFmvPT>$)%sN-rY7>~iv|fe
zd^`KS#$z*JYZykH#W*0n|NAkMMFghC>hEx+n88ZT{Pux;DlnRMxxerwKQN3JbKTl+
z28jkLZw;1|!206R&Ei2$ASzsMNZ>UCfuv-yxT}iLlulQ5$c`DxJ@WWcUYdee2Pff}
ztOAHO|A}0T-NyE@K6}9LVG2rmZ7a6V<iN4}@1lv{GFH_l>?61iz;@d2ILi|mnB8Dj
zJWrg(u3fs_ESv@qE<7CC&m#qdCh4<w-J_WFrMwUsRRD2&y|1rR#bLHX?t)V0M=Xd`
zZg@TtgQE-YoMN>_VUBd<*Vk!;Ro5`ns3j)Q+3Qlbhea5My9<Aa8AV|*?0K5&i!r#i
z<}~&&2!e^KV2piTCG8@2hmbUvF+>xb{-mh!!>ST#d{px}E%!#fh>)cb2#&TT$kXw{
zwz9Z@=0GhiqeU#qDb^6^CFI8Kwm2d5y2yV+yC2fVzK0BLwiv(-D(|X{Jv)@RMXeiK
zhS5Bg2R=*k89?XA0PntO7Ldq5?{BzQVo%trWNvxr!$+^q-=tn981AJrP7P?p&Ni-*
zZL0JjcbD5@^*RF_uTXuuR@H@hRy^Lz!KnuaI7?FA`OpK8WtnW;@JFn3J{GG8)P>|g
zM|?aJ9q0}QQ22@8FuMR<b%qWdXc=Ws606<B&g%=lRsT4Q%@DH+M#wtQuYA6*u4x0C
z?FvMxN@JMI$!34WTy3~%sk#}DU&o%%1>I1L`-#z{tJ#aWwBdGa&fm`Ot617Ju|9NR
z3TwDF^T+(67Oaj8TrT{+f=Rsa(-H}t#hlLD+y7jl!h`#tz7Hy_U=MqJU8?Bku|1iN
zET_Y%z{`9+M6q}obD4_e<?dU+{xrD6d|RLZ&xse6eICo0L{PHE^_PoS>(rTSmeUj{
zrKaANaahJ2#@cx*tCq1})|BhN{*ggze`fQC&}Gbe<K{mHw2GZKh~PWF!=1g#I&`tk
z%UIV{R^exp>sXBV8J{P@WU%M9$n&yX!J>ziUMG?^vD7C|?j}DV!GXwGHM74f7>_#F
zOiRu-)|(zD&uvVCmxlbcx4Tv`bfeVnh&VmOZY4K{R%pWg4*Ma$k82pCPlKys6a(Z5
zM}+81Xuwzsbp+TpFbj+L<%esGpdgr_eHEtxqZ1K%)<OR;t_c?YT^Y>quknIPVaU!N
zRqZWS{<n$EVZzyd&a6O{I5tq%Km-(p(_%&2n4x+Op;3z+d@FBQ5+sR0IMc-CG(ZQB
zY_cpJffMY*uF-p3P=i1@MXAh1dg#)gUb8&M4ePJ1Jibj5pp(-8o)Z|sx#zg9)EF=9
zCe?CVdk{d~efGkKi%hUx_+75mj2~>9W*-F);bAdD4YOZkhMqGFq}@*hpf{l2(lQ7S
z(d3QFcehv}i(UC36@);Ce(2>Q10LS{Zdw=~Vh5*%8^<&jgrS@*Fm|L=6>x^lpP$)r
z0-uY#!AhGbJYanqRO6)zmV$eF3yyJv%qG!oSGzbU&Oa>*!mGj!*_qhbSG-_zyRGB(
zk|Z3(pZ(>^q6)0EN{2*wet2%DB-Ldv10JmYiN@<V*e!9fE$NZ~$khDle{)O@4vFgw
zIkTz4q2QO<s&qmiu$@rU^j02DXuLSLS4$NhCil)$^M#?r&+T)Ai6YRoVr@w=sxaBW
z;_m7t3OLzgP3c`qa5Oc;e_%xwLURvytXqf!)9uv<j;B<>M8!Y4<qjU$=@stF+DpRw
zXP<6zkyXJDt8O|NOn|2ihZ3n#(y$_+QJO_Z0K#fH0UxCXA39ESe|aYh9+T}Nx<hI(
zYjCqdq@4)#XEv3c73ASV{;mLWlRD@)q_K*7YQTM2`M|&v3gD%JTfcQ*6OO$K7MPSH
zfqQ<COGJwzRHw9zovJ56N5`=0h9Mc^ZoU3&NKl5{fBoZY*<^Uoe<;2;h61*)Pkwev
zSApA(Yj*y=6sX9Et|u*1!2|XNY;EDd>Ydh2VNNPoOdCfEWN3qZ&9|30Up!pilfIOC
zg$k>O4j70Z(gm@=4&uS*1XxL%6_xF!0`r4lWkE}Q5Gn{0U075D`DL~FCts<+&MlyH
zf0rT9J*q+>JnC>!`s(M=94f5IG~p~=jN#3hyCQV!>M&B$;)oNV!j%QF{$vjf&gcIA
zBL7eWoLAc`e(F)+vGtMwcNxIRzEJrKGMbR!Jx#F_B0~U`$M@I`QxJ9edainxCe)|W
zALBl-<8wA*Y+Z-Uz$s?qj;y>UWZl84$E1khuCMm}50g2d4xL<&3Jr*MvA5yOPzA4=
zgm-u2%z^D+<HMvWb!fSpv2tcY3AVkHo}2ZXgO2$LdC3tXv}H-HMC!=HQ~%ZCK?Vzu
zK5-^7I8zPw@H>Ayzw`d|v5o9&j26Hy^)XFAk^mJh0UbX}g<z=Tl{EK=IfTeFB>X(3
z3Lh4lY<Qfw!OC~h;ZwdjXk7Kl#;R1HbI-jE<yHoG@sw0~XO}s!dltSF{;mWZ{|$xj
z&G?JqBL4_p`(_3;(J>mqEQ;Wm;J_*H;yp%K84>Y1Vg`q=yz==)mWTDXYoX^I2Wg$e
z_?u(nreGR+oQ>~;46wc#m8R6q(H@?V4PrcE3STE~Oi}_Q;f1s2<g<?}w1*q9Lr+Hl
zUVLHLn}HXDC&X|1YTN&4-YtXL65arcG15~Ra>8IRHRyW9iVnTJ<x>K!7_|Q0e|z0Q
z03MY^)*cC>M-Sd#<=Fkv1lB#P&%Oxbg^Dt>BQjhJXd-|8j=_{Mc<*~ztXana`vw^5
z|LkT!v<pGsJ=l%GA;%Wy9Kr&7hKhf?STG<vSzrCTWFr`7Hm{Jp$pDI}e`}mL8IafV
zOiZPZA>1j$4`}ObVX?}Jal=*gsLcANi(rlcTn<zJFh;+MX-9OYhuhGjqTb4fmV^3G
zgQr`GI=6sTetW8L?kgP<J^tb+Qr3sN+WmDI;?o%Wg`_+E!E{LO{P{Ab2t5c|y`Asm
zI*N&T&dvvM)1jie5vS~SU6>r2^z|11g#BE~Q+srJn|44m{g<SQE*Lpm8uAak!k#uC
zd+}>^i}tw4BAako2UHH<j`C@FN{g!-aaVn?Me_-dCY}AQ4cT4Fo}2r6Xx@(+??lCK
z(aQZ~#TwkS;pva*sOf;OwAr}Ey?wW~Xd>>V2AyxUAa2;A>rwj%%^;j{!)tJh7Qj%{
zb<|i3BE-0+otY+Rcq+!xba0zS;%PSvtEIwFzQ7)*#b30d*HioyHaaw4AmICkx-*v@
zb(b$y{HEo854qGCO^534E#=tMP=KXy^3=V&IhxO7c997odURYc{mQff1r|O;hy6Ub
zKvRD1!0hmLr_ax>7UnjSL9&(eG>5<<Z6)?e_;wZp(uvrk?dH7W(G5p;XSXlWOv5iO
z%cn9T&!V?+;$tLG<|EvCle9t$eDh3Ps)z|uuFQ)~oFjpRTlspR+ZyeeZR75YZ_Fs4
zuhq6qkOVbK*5T^<8#K~)hci+7tVk)fn!dtU6E?i|l-;6i(vrVvoa3Ugp@6*)cRQ45
zz;uqAp@{7^jfdVczB`x$HHkRBXjxK+8XrCH)J8g_+>Q?|+|7mFOJuEv*{MT*Pr$qM
zMS5f-W&g6$jR!g2V!QjUf(TEK`DD)+Ga`0!I~~oA5A6;LjSLedLQnqL{<DQlNY;b-
z`OFo5q)=pgLLx;C?7*%^M}Y+~ToR$pjtU_9{f_&}dDLL}+Ps=s6D#U;u;loANC;gD
z`_`<VO8|ibiZy+g*^&Flz6jGbVU+!ftDfJ000s;Br2XNX=xoHdcjOnM=*XFG=V=po
z2r5(@HA>`0^DgG~(s#vC*NTOa_`Mze#yha$x_D9ImvY}d)sl$wZv%(z89eMI={)n6
z=SQ~I1%$yr(&!KA1ZmI{4>1LTNk2{tpd6Fe*Sd&u=>C6&Ozqxy@Fqmm%}ffSB8T7~
zGiT+|d>FlZ^hG?(js~4FIwy=YbOM#K2NVz{_%-1-4G#(a+oeHxQ6zXYr~iSg5{mVR
z@lH`9z#*TaBi-v_sA6jMzRoXY6wCBg+^3oVc}*9Dd}k#P2tIO3yoN)ztK_DIP&Me$
z)T+M4B#n-0O6DLdJbL!=bg8aC5yZ0ehZT%v(b>;W<TJR{P)(2XsnfUA!L1{x#lJ%i
zos<$IaegDBrVstQSlKlpbJ^47CaVHU%XI==i3a*`;H%x1Hwh?SlU*`SiU{w;Ewx{p
zgd~Y)=v@5Cp!3wZ6n{?%b(`m(Smhw2lSU-QsGAf>vT?uLx~+^X3S^W|c9D_Zd$W4i
zDJmS|caIr%$03^%jaZRW6m(GQ<FrYTHYnKV6-ZaBA{$oysK_M>8Xo93i09J<hed3D
zdJ~V*S9Yg-v7(~6pK<MMU-V$0?;%SzRSlh0vrugJrlP%wH|YCw16bL=6;fbJL?5=+
zL$wU4=uX8=72^^kkP6JFG3u)$VRfG0yWUX{7qiaQN0}z@oc>_z{GvL_P8ZEPFGfMX
zrtcRYG6ryxDiRBh&_Hn(CVvh|l2PsP(pL*Ircm(U8=k*f17*g4eKTFBiL$Tga&rGN
z1^>|pBQJLPCHDNRj#W1iMI6)6zm{$WcMr6M%eZJDqK^9amuYx3J0I>!CuI(-ZwFrR
z)~cgf=KOs#N-Ai`Iy9U&${fmBjsJ^%Pej4#uMD_L6wm{<)yqBA=HQ*S=4D!`h7^R-
z?s=b+LB_&%XG)sQAvbbleXkn<@qg>?5ZV$&Ie+}y=bo6uEs1)5`%kJUQrK!jibDYP
zYPTK_x@ZoH4dp2pDL6DezProsG&>@`lXl6~Hiw5bWTIiDGOGHbvRBiL4jm3DQa9~0
zgUPFfg=#Mp(dRL)?CpPZwD;*vQcXc-&}ipsJFzN{GLweR-COFR$&cgY78XrG!rIax
z8<RtN-%}GL>-(_JZFW}g&zS;)sfO?*UK&lxGF|p9n8qSPaWU8b0emI+zft}tj*|9B
zm>XCB#r83s8&8P_XmG0w-@7S-ux4kdo?O91x_%3uV*;o-A*yOd5kl{@$C<QVuVdWB
z44dD?FyLEzl9iInk8%$tk1U`5hv5pI*APi2Q1rJ?U^AKrWjZsk>bh)VHz$VfraBly
zX>@YO2QmjbBSN4rP1?kwZy<B+Ge&Uy8fA=k4+~Nfd)ifKwTa2>5e;U3U<jX=j-0&I
z$$*~Dc$bz{{=*WMqPnVw4B-9q^LMNFZqs&+$!yt=ZD2y^-{x0o16aOk@1_1~jmB$E
zUqZjJj{Owe=;1h`4{g?$LmoFR(#G?`ag1#1n2aWu&HG9{aM_q<Gk2e(-Abc*8%nHU
zakj@EzG2jZ_FQ&m)5%HNXOsHwZKG9eRzkA>(vCN#5)zIsY>&_~(0;+Dvn$wlC${p3
zFLYqEsiv*0xsN8ihR!|wu#DyR=bEoe>i|>9_VdlpZ8RH~tzcQ_Wo*4BI9VY<8y54Q
z{dQC;qZQIWua;d|!Ztgyyrvekpk%D&6bh}uN<wvFpEWOGuEk~7q>pHU?H{glWN61s
zzQ_MDd9{QYT@C-9+E0bNpc&jfwU5}~k4I(MLra)&aEXHGUMl#s#tU#1e#O|c)ErI`
zm$8uKf|Kbz6yV%qNXT^<#+v5BI1b)l#ylksME!E2fJXg$WqtV{*!Uym15<V@*v!#(
zxy{dHD7HU-$K?GucD;VeaY}9#JNq|ztIm@QAG`QN<AW!$7xL#D4=Ju;kAi>g=9wWu
zl5_i+O}c4}y8oR+`o49{%i=JajwHdmrjn3PH-BU0=|=+0>Nc<={XB(Myd-d_UG{Pm
zo5KvlM}NmUZeq*xqhGY`G~uIP?+@dUd2CBe(r`w48@o7_XZz-&2GnNp?-TvJfV~nL
zIc=3j2NS3HF2E~wP%M{m#n~@nk3F75F+HV+Im^wxPq&D$z0$+*cwh;`Z@;=@vCIJc
z@xP_?t%;x-G%C6jzk<ze^qC!ZXM*CZOU{cs9^B8g`k#ya8piD6I8K^ihQyoMtrGJD
z5aYhCWNWa2h0M5R=iFfhYnC<m>qvl~wrLtM_M6!L@{=+A=h)%OgL4J_&+(95{UdJd
z+BVj*-E`XS3MZIqFqN9&@lgJudv^~#J&bn#>htg52Ck0I|Il4k@c6r1I>(g(J}x;0
z9aH3kiUN-<RuxqUysS`W(a8w5Z^PcyM)Sj~U@GTIH4eIF{I{ljm|<Y7ff>Ik0Np%4
zSF-ouAgfaf8<$~)3D$i2s5~K15&wiYSyTZ_y8vCp$PNl=Wm;GKMS!>3UnH<p1srKN
zr%i-8L0r0?Ti;C#{8G{%F9fSV`BcLNS66P>{VHTA^0Wkm9`~{kuu=i<7W%Wqcf6pV
z+=Ot=Qc&b}^7Rod6$m)ea*qz<huH5|{RYfs!3}RdM`xe{{5D;t=`{jy=XQ44)P@}F
z`N8&Ig1ZW^F~&|T+6lpNl<3<Rq5#?fJbTo0Rp5dqTdM}E2pkpn3FD$yf^nuVk{=jx
zFqxY6M0!FLbgJB?3@eo3U8BV$Qw9#)=4MUorp3X!JV>1!ii6`J%RlH`RpIlz?ZGxt
zDahKVbm7__JfvHmI$7a}2N&0ScNUJxfS}_3)^KArc>KUu@oXXiSV$)%?}W?2VC?HL
zQA2ew9k>ueU?+ljWTotvCV6PT#S?nWL=(PfeN(v7rw-4p4{U5GDFUG}vA`{Fhtukv
z_j@-qK{7ko(KcNP0)a9tnofp96NwuvCS-8psN((1tpdZ>$F`ZyQec#Fu7>Lo1w0P#
z+H_3D!9K?y6B<B;0*%1wUG`ew%+RdziwzGs--KWLj!<D`O8Uo3DINIq-(6p$NCG(5
zd+n}q(1I^+3uehedJtNRrJm?lgLV~TUfXCbkn&13J)v#@6!D8Q{$lDNHz{Cx&QA-@
z7})IgbvFWfqbHKiL=AX4YwIb!zOzTP_@c&AP2gpJ|H`f%A5qaa6IsxsLi?Sf(T0Nn
zQ?kRCRf{#DOi*C$wE_j!N@T(_51WFC#B_GnUri7fHptq3O@fr!L#rE>W-xBBhW^ZH
zf(GTWUxT^^Tq1E`44me0X;;^kUzwWFWk4Nz5Jdo!QfYkaJ#*-i%hpw$(SRz4tiwOA
ztAO#qt;;F`7I67~=yB>Fb;xrev3^KbfG6iNB?TQU;0yOuf>;?5gdK1A2zpBcFH3S^
zq=y9<W6Iwi<J4d{>3v}imk9WCgq&=*umA@i2}0>9JjA(w^^QP1F#XTnT7k_1{=CYx
zPsqc;%Z~!)pVk@RfZy+XagWVmrsSePNtH5WQ>@pbyXUbYHIW{6vz<FSe#q$ZYekqF
zk0LX%KEZHG$)lDnW{?;Afr4w7hgl!viBCT#X@gQZv~g22XzhuKyxb%Ud1`9Ddh9E-
z+jgEVm+DM`iTweK|IYsmyIIv*%C$|iDG#S+l1$+gTb}iBmKc0f{ad^i!hj@hbH$aF
z0t^Pyl4AD>!~9D^cyR<1x@}33^Hu?<?C)tB*)0G+IC@=$8ktetvWQKD0|uGbDxD<g
zcp-O9=CW=y3u05cXL;g~2}IQpLsZAufp$@KDYb_MT?sevUk*2hl>3UfX<&xY=<BbP
zKeC{y%=-3;3?smqSU%+Dr-#n)*)KotvY=l_E{k<F7=jhQPZ&9S9sBi2#aqCM1>Lnz
zbrx7L06o)#s;q;5v2oM9Ym2kYXv60kg<snMtb-$M?^aA>R%Ay9-$Z64ZvFe9a-=?}
zZ8QFho*Kpu%xz?O5tvb52TRP;w|Zc7p{c+Dy0CT6L6zKoCY1B|{b8!K9$euu=jYg8
zOfx-kN_sYj3F)3}uECwvg$i0wPsD65?YPZwP1RW@ba!Crfoi`FP`Vz)>a>5S#ZoKd
z2_Z~q%c^yB5YvIZ#?*tA#0lE9I-`x(@l43#jja1txi;ucv{n}Unx=)_%Pcf_$%F#<
z4}P+j)&@2*^~#&9IojXjTD?pH%;<P&a8$v~9bWh9a&rm&rA6l!y24dvr02VNzne!3
z_^k7|laDRYWJ|0f=W#43!IX2bF_j8~jvFN|<tsEL6X6WeUo2?5b3i3Xa3_D^*!yH)
zjrPUwuzh1UD=Mvj{h&UF0&am#CFX4ZXiKe({tAO^$SL)1TqA)3Gk+S+i0Ew5ejkjl
zy(PebrtT&RUwTc3tEcnL26gCANVyJAZ73(27cKYV-A9JguG59;?)1pb6`Ak<$AzYx
ze7+~o@9?+RvMT5*1LCNC+;;sb530(XPf@x_g85syb>r=fNI-7kgpWNR>OqOtJO(7l
zJngY>K#CbfD0F0Zxbq`N={*Z_U7C=ce5dbX91F7atGvDvD}cUw7-=(6G-0{PGKij;
z4PE=sL;37mLB!s$NXRPE0M4AM#*{*Kgq>79yGjs743GGhMiewaZT70X`(aL$g2ms{
zekg(lm30lco~T24{(|*=LvAz^g}b@vD26C~Q6e!8>L7e|bgc^GMfr1&cosz^(A~b+
zXEWPG@T}+8Ia14quD9;p_mxo!<u$yxXxvPMIT3X>;UD}c<+jg^l!y#UwzWD_n@5B!
z;i!>#oFJk-a%!5x$)Q3u@#KXYL^%FjL>uCTkZojv)wG*D(yXCV_+3DRz%#GLD>sGF
zc+2`6U7i9;N}U^F?Iwb08n294nke!$5mRnlRz!ziy-wklQwJ;}`oJl3ab!Ik;;QPS
zj7CQd*+`k{fSd9B9v~ozd@M{1j}57y=1xC@Z9@&173pUd+m=G1rghWZfvTw7`O@${
zK213CPNI#OT^8AN`8$X2+-Gd75(lKXNkC3?{(SPb98y$^2ot!ihW-Zt0RR6Cmv=ms
zZy3gp?7hjJhvRTK$KLPFA(1V!LR6$=WVJ|zA|oS7S<#SDC{q327b&3>*&}3Tl)d%y
z@AY~9xS!{9Ki74Ay=_94?8?cInsKjDu38Ga(BLoKsZ7G&9g&Wf3Zg*rkRfhhL>gPm
zd?qFRP8mBOSy>f#SQSS2RE-(=WwC<A+agq9GFH=Fx-jjg1`#uT$p@|Q7=2xq=U^il
z`#R_>-Eu=6e!p|{u#c6)x+X0-=Uge+t=59tu<si1<hsS9!CHB2a^;HY)K?1jaj4$s
zsi79E&a+FGjuEi*>|=>6VyYOIpfygfNgK#l9Gi=_6);gU@9l1VRc!LJx8t0TF0k~T
z-bb@V#PTE_R-^K&SoY3aJ8OP@_}ce-FuPk3`zI0N+1EqC@_J6!jWim7lU{GUSG*D?
zZmhSRV@1LK$|&89_eVe|3h&y^O2SxaDz>6x$(Y}!PESr0fbW_AOyV3#7>=}aKaoQP
zQ|WlRxvpshjv+O~MlTW;;gz1GSf+%<mcDoE?J|N25n9LJWD>Tn=m1qfs=rr6ha+Ob
z_-Ch_+>D{S`4>wqs)Wg&j55d;mB$)W28s0l8AD^6!kb`jC9DCj{JT_K7W;Ggc)A{r
z3blsx`p=1qm_z(Gk1<Ip%vH`fNmPmo4&t-BTiiq}(?K%nK)5JY|JNt_oHP}jNH(vo
zwh=HBXR`z441(CzbKP2Ij8s^T{v2X*RvsgIw;k-{;K7CxpKRxJ7=x8gD(~|JJjSCT
z@1AeQim^$Erwk<+!(4Zl@|3SEMl)5=%#=%u71Z6&icmKOm&Nd7$$iq;m|uA>o8=}N
zH8XZT>$?$TcYQfdwU)xJc7I-pqW(d71o>YtoHBx1dp8_Qh6Fa1(~&f3Gl1S3unN4t
z22gReF<t+eD0cO`=GnX7@1v6(DVZFx0JBg0rp-r$Ftg{jgDlSN$Ys-l95p_G+9iWc
zVX7du!L-Gpc4Qa{HwsAUI)K1_xtwFE?R*&RKJ}w_$>T_rOL36HX+x0w<k8!4hX;#|
zm%kn=JcY0jXD#>NF@Q|rrM%>5F6^SWW@6o?X`~pGpZEW#53(X_hMC6f7?a&|fjh<1
z$kUFChnE-iK>pUUhxJcpj6w*$Ci8a+VU3P^7e>;9c{aa`%AE|DXGwTU(yd8^nbI(F
z=$tOt;7Wh0Nzh?*mZ9j^r{hSnn~{t0D;+3QD@PluX)w3KUNOe7U&x7fWf8*rbRe0K
zPd85ahvMebOTTc9Adh{RUnL#Zh8GnVw8AfJq4?w>xdG`xB>$Eu&b34fp5<m+xazK>
zbGrvxh<rT=ZSrSsO=d07RHz`Zo?bz#dAGta&JN^WfwJPHpC)V#ohi%RTtrWqvmsJ8
zt%xOiUXSYDzdLDvZ=-+gFB%!0*zoa7J@P9=fOA|=1HOFd4$IJ=M<@Et9yD23B2h<3
zQ(ueKL7Xl_^S1sBiapeH`?+`tQAypW_)$z9wg+-wEWepTnVx=W8>W<@#hdrA!gMv@
zq}SVNd^~~D{^iUTGDp#*#8tV2oN93PtkUV5t7E8x{dSXB$R~8PUu8ZeQ5C2|q&LPn
zzfeZ8o!1`BZK#KxoT(S5DqPEB;60H(ipmcCkTlWlK)<;d+{;g=z~#m)@se*NsCN+S
zZr-mhG`2>;SW}Dw-Zx@1c`QdzeGs#fjqgJ_h1;!|pOL{lz{j8*H-er^bUv1*HH0Q|
zm7CFPlfhl)UPr<7FnZB8xSw`w7>&tU(osrR0l#y*<utS-=y~UVg-es8=$+r{9QOYy
zgR~9<1v4K(pIwNeS(+R}$J9mXT<1v;D`R~)|Lq7GP?DAuhnqyRGhbv$%90>Tm@`G*
zc@!n;WCr<ZO`{85ixcr4O7Nw%=U<%2FZ8FZ%}i?Q3_3)A@5ALhMOc-5GnLCUh7xkk
z^r-vi(J)CvhM@@}H2rl+nH3*LnSL#QNbvcK-Uv?loTW+xrc~u)F&-1>U9z?V>(2#L
zS8-$@=eh#)JB_LCZ=FP=9Y5=Ng)O1aK0SfqUIK9SeBYitHI3ehxkH~#SwX`H(M^sT
z1TZmmcKM<@gFfosdce!ShKjkQj%;Vh!{}<XosQZZDj`8LcN4#X5|WE!dbi}jNk$B>
zd-e~CzeA%h<GY0xJ=Q<5c1jL>AO6^Zg}<oJjTO`DqdVx^C40*=-FTSJV{WRpT100I
zj?wyB;jlj{EaQi*@DM2O;d=Y)5-M!JnK;@)gZZwme;96(h1(yUEfm97&=p3%X3s!c
zEHTq)+rmN?I0e;zo<6jOa!+Q5%^1>S&np)Qqu*sfmF)8&(Pjf3uXLN7(PPA#F1Jxw
zJ!L>w=D5G(%`H?UYyhWrmKn<r_|#;&A`P9da;9)wd-L^OIr8rZE5?-2*iT87hAGyT
z^QBHWtin@ko8~eHHa1ozc~?sslG;vv9d4(=db^xXy{P2Ei1C(xd?uve$({Dl%ure^
zc(t*+&zcAG+Q`WJkt+qI(Lwiejp?x@&S85xUOp`G;?r`=lTtAKDX3l8kP$O|wHz@*
zD}b#N^}18ErQq*k&6UW#`C^~V>RaOXV|VYh9j_CSf(|Eo%{%R^n8jagoN`GRvmtu5
z2XITlSY(RJiBJw~>C`8V2xc*iftz8rLR1QZ68aWoO1UuHwbL&<J0!4Hn}A7uBPoE%
zAloBU9xSf^(t)q%q_DyD6^rxNr9f~KSr@_aVFJrzNHw1fHau-)6*naXhQek`LKFO0
zvIxHS?0_tGzJ;gnc9=Anzi#g7TNA{DZad*-8s#uqA2+!~br~qqh-*pE62=4r#RNFN
z5wMZy1VRc?7LaV@>F39ySi*-w6Y@F{)5E>cyn7rEsf${5E(avAkJr6s3Uo*qU%|(i
zh+lG`p4zxD#v+B?Op|w1NL0aQYzD6u))GL6&9OG-mNZ7Awckr=nT(aUF8e)NAVNa;
z=jJ6*S&St=BKxYiD)#u5Lx_7S34TA9ntW4-$G&;|P;}8(!$jWAgx|C$0}sBK=f7Zi
zEL1s0MAujyGq}zh6ey?)N~@|~I|K#nj()FgoU{gZE!&X5vtJ#KbKIPE>nCFCgTB2}
zUo<fBr`iqLcA8L9uvC*8sf5V~K0HfO*Tibp+J=t4)rL$C{K*sa%2;K~YyBcqO$;{|
znm%o=2jL14=NONxVDGBu(ifLCu<S7A`pw@4z`r0LxCvwo;YxodsiT4Ueeai?rS9e3
zH=o+*5;7K8Wi|hVQyt6o%TH3iZUk9PCqH`3k}+?#v>%gKR58O~``*GLV<?+?>wkKS
zj5YSvraibr#_q&1lt0X&!URJKPhJ-p^I$O3q{EajLSR<Ku(t`|<x-pPUm;^0r}%zZ
zGZL^v+pFUX^CplG@p{{ATm>6W9=%npDuWp<4H(xOm_o$elxfCLWo%m_TcCbX6nmNf
zZTGRgDZG1_7D!*Cgp~y;Pa^z$80u2q^GMAUh<Z~MA^#Dv_bc|hesWCMnX9cOFl_=(
zUV@J*vItmLr}V9hp3A6$^oXg}6%!DDIqWs=CWozmG?c5Qen#FfI2pnQ6?is9d`G!u
zu^0c*wfG-dMbzoESxKj;klwWBeXdms8^g=6uhs2?RBk&Lj}~K)Sj!zORg}Qq3veGL
z#xsGdtzu<{vN1fpW&7pDoG{k-oS8V$#0GpTF6`@RMnG40Um{{g0F$mA=(<(U3H3LP
zj1TPsNR{`Fs*!lHwXdD-90Ocnu-(X`832I&jyqL(juR8Va@$Nkm>Z4+1>148Ay6>d
zA5bd5jJ=54IK%p$8&q>TCYQb%0`usCdWbD8<|1<GpmsYqc$<AVT0dw2dUr0>Xpy#2
z#z%j+y&AXy>AQBcVpAWkex*+O)Gwks7Kmnd4mU`DZ;`=d^<iPwmG$!dF;qS+ykRwf
z8|WkyT{_+LVAGjn_jf}h${Vx#;3>ildL5YwquIJJ`;xs&<KQ<WPB>!e3m-ScHx<MD
zgbu{y#r=!58$%Rcw1pNea{)swSH7s84t#hh-(*DngKTX~)=B;10&~+g?}|)qIO8Oh
z-*smhkvKl?th%SO@z1~I+tvbS(^l6w_6=m`>t_;fjSIH9Kj(b%(Sjr!fit=CJ4n;e
zOBV@AZZP`Gci>E)CRCTT&J0K3z>WXBWwi%41i8MCe&e7Co1vl}(uVuMoA^oa(Q9rX
ziKePw@6do^*YmeTXJ`Qz($O7{=K+UYW0f*j4X~Kc<$WJZ4_IrM|5^zTJl_3#O>IIQ
z2p9Y%j|(zF<fMenaVuWfJ+tB<enB0!a{TE=3YZ|{x+h+bkq?sCEff=Y)L{p&a`S;Q
z3j|lBRj>E)K_M3veNv$Y;Zc)2u_!BOT)uLX=QBU7PplIvUDW_-7)VofV~0&YLr;cw
z0cf=yxUkEp2KtZQdH3z(gp!t~;lrzf5Jhx+H1}Q=boHlCy>jP*58V?omo<eT_Lybf
z`XyBm&kO2rIKU0oNSEoKRACqk4*ybOtP0P~-bfzQ;{j?R{bLq3QLyuS=u*a`3Z0CG
zt!)Op@V?~z9l8QB@TGHk`ev2_N%AeEMjJlRH#xiAdsqTa%BH0key2b)gOl*tV1CfL
zyb~yrDhY3|cItW5Q^1cw;`YE}0k}2UxLFb>1-G|nD9b1XHo4z-ZO#coQ?WwHg?MSG
z&Kr6e*FpiV!>Ee?K_Ot@A1@n~B?HfkQhgjJC?FXo<CyeX7{-qTvL33G1^sbH>k@8N
zK=i^$$FxP^j*af!U!8csGw`xbS*ya-+ClfzU&J7188=n7D+jbGy8=GBsvuSw%ltk>
z0tRGka@~jo5Ra8)x<aQ0D#8qcUUwxShv`OA<6#9blFYRAj8cOyBeP~%7o=cQAlZ99
zf(UgI1*<&V>JXR8`8mW(8dT2I_x(;$giCkmL=M!dL*$kt<6mnTxbe7QcqT&$LNy{w
zwJ&Kv(AeFOIDJ_N+^A1+xJrT<&gzKNy*(tnNu5w7;2}EX!oE>6WvK5As5UUxg0uDa
zm``!Y!H|Ct`_3<AXytOqHa69U@)TA&p&2;{)!J6$w^V_5Tnc{ATy<bHXN21SMjr0V
z1mBm7PyuoLs~^6XbYV@^du}0=030u<cDBb=U};V!`Bae}9CcR<ye6ywT+2bVVf$3T
zo%7?p<nQ`mn9F{$sXzf1qj|iCU6jEzJgb^@!vJg>zDgWsA;QQ{#iE)MBw#uLp11iB
zsHoykx3VGv$5?`sm%`qCvx|dVIRJ*;GxA^g65&<ct*N+DB517#TsMvZ=>JaH&2b|_
z#KH*u&?W(Pc`XYUW&jjQ+W1_giQvwM$7PAh!_sMW#tp;>SlYwGu3`%CuB2{Xfeap+
zC|q-uQAXgFY518zYfm?3Vk#7of#6Ix{E=cKxSJZm#d(VWPsOZdIQjPW?NM0^9cBax
z3VaG5YUQC~^Ux_Tb#d_AIqaWOx5tTXd@VxX<$yQ(KhdpVVPI8zReJq}5%g3H^v8V1
zLrbLWhTN(ENRmW729u1SQm|jCrcM^#8opWPY~h8vvyr#Q-Ho6ZFN$-1A_JvPc&)w-
zE}-=#>EUFI!03#(d}Ew6%n5n*64=-wdwf<bZV+H$Fs5SJM+$24v(B~;F+ptb{p6Aq
zfcig251Ls@Le&}hxX}~zV1MKJDPKbXQlMtYTA(;2yt~Q8pSBNtGsVjLzafy-Kagzg
zAqwX7!Y|+m4)`ZtCD}<L(C)<5ALuI#_SuR*JdW%j7m+ZvXn#Xs?`3>Wld>ObZbl~t
zEN>zLe<Q^VY7HQjw%P7xj{p=Eg?;4r+CWxHiTtyS1|Zv!d@ha357J9?%MW7L5l-Cq
zec8_X@IyW6$<TLR;4(SRyK-P1F$s?_=P1^LFM%G`5!ZPjf|Z3$B4Hhg(tnru{huz}
zZoH#7?#vC-9|Xgl4L1;xcM3;MU3KA_g@Uz_H5c&In)mS7Y$A5^cVdcP>wt2>+lbm`
z4wxVo+4PldA+hD>4l3@~0Y8G)%`z=^xSW*qgwK8lF(s#7AHAXt2(D!4_%JJ=AF{9y
zD*uqp_YTO&q!#oRJ$YDH#{#Z7_ZIW>aG;yDHmK^P1@a4?opn9T@UcC_Y!{<}ZH`c6
zxJeU^XH@%#Nbl)45)P%W?E`N4Um}Z$CY;<pIwbsn36$uLS~pYa;OA%eFTrm$z$Gr^
zq8gP6jwz>ps4Aid*B71D0ed`K_r-weIzJP9qE71XiZMc3%B%C6s5<yf%Ug<YGl9Oh
zRbYE56I>j;)T3ao4odc?g+0`npj#+Wsnv-E4z1_!2zRT2lv3<jx=1G26;7xf7iNQu
zvP0Cx(`sOBDKyGA#{_4OG95az%?`gZ3<C#f)PP3Ges}gNGfZDfAD!Rf1O`F$59glm
zxu%lbb#+*vH#G9DI5#(V3|47<HByC!*ozz+{H!1;{KHH^lLw-X7aTkJn*wa{{Ct6e
zY{35W>CYztyf8~K{7K28085{!EXj}^GP&+v*F^cCN<1z<&zb^uyuBg+;yGad59{Jk
zIRS`ME|jCNQb6Re>BWUzPQZOj*}**#1cv?YYvFBVfM(vJyf0jESG(n(x3Lhg)G=sF
zJs^XXd2Z437u+D4YX6yaQy5N%=esTik>Q3;^3h|@c;II1pr}ThDCm6k`TE_C49cw8
zucB*sq2iqgO;^1*6nEauM)k>XP?k<;Y={rIz24yJ{3L;OU@2upjSO$hengvy34pSe
zxoF`YhnP5wbw};-xQW9Jc8d@}cxV1px$(I)uzOYnFj$g-X`mz}cx*oqIJ+fJjqdsS
zdIAewAQ>{A9Qkk8Ul`6Gxbf9M4iC9XpEKnilYwygX=ERlC^Uw@KI{@I2U@HVIqHAO
zkTp}N7TqcadHbHFEw{>pllYwXK3fW`XSYrd=1RbD_=&Tg3JP$cHuC-PPZUs78J|x3
zAPHr@myEk&h`^#0>BH)x3amUsxS@I};QEje?=heV+>vy{S83Hi`lTn`R+BV@L{#O}
z;YqN~BBL<TtOgTx8L}}yWME;UGwzbBGJHyHNbe|9hx_VH?ZKn6@J;F6!vTL4Agj>L
zNS13rb?WnO)<1Y~R|2BA5*b7iCr3+~HDO!(TIs}!9K_vbcPou0!-E9&Mf^W4Xmz&?
zU09HZx{HI{YZw_OE;yI;AJl=zrP}qk1_==G=FCc2CmE!$6W{X-birI<{#{Xp0vvS>
zi?ZE2f9VtxXB)jf=+qD8bDklB2vt5M^9mW1cG`+O{S2V}u!ds=P7$1B5r<_~GH{f(
z^d9_V2t6+M#~1w-!QynAQ+u~E9N~A93}FU%z25STvrG{JPPrLG0|^|d`huPL0O9fm
z?w8*yLi~I=pU_c7I7F<KaU&SPfivZbr2C4nz>U;?)m8x0>ajECSw>)yh&*qhDndB3
zpXAD<96aQ|kv+Cx1WApvJ56tiu==K1_vK|-&~bAzyGJ&LTIQ8WOL`*kHl2#P#v%=$
zKl*%Rbu@<IGu4&*@Cxwq%x={)GYOcBH9XJdX$<9%nA$8!0L5o1bN5~f@A)7dF4Vyo
z^d(<-yZ)1dtYp<!eP{Q2Q^DJ|Mv5^k-At2f|AdDVZBK8x-R1#<@%tqDT_ZqU$6tF#
z%fi@eyV>Vj9N_b{@af67Mv!OauCt^n1E(3>)qesLw5eS1<M1~E9nx4@&*&b<XBHTE
zsnNn>W**l(zY%0S_L48(>pv>Z0b{(ZyGVBBd;5nqd%3*%qBP{OI9OGQl>f3`Ls(TT
z^=+L2x)~@8)qB0Gw&9lSLzYEkh0XW;<4FYic)k#nehUHJvF4P!_*q0;pJ*&4fq-6y
zZLuCI2!Tqfk9@)=kjytltD4S+F!kF_s;8D8+E?tJYgUXRao1;GT)1NZughn?zZl}(
z>n}e%Gj9zezY;Z_Y1{PShNtx6NktyWWjL0)cKRpM7^75~%%u;$H?f_!d0en?xuZ*Q
z<|jg|_%ArkNe|j*;?HJY;sCc~SL<8+Bgo;I(9<^gy3kVluHJ1Q8=&<T(uI?wNRf;s
z!|-1nFrUrC8?-aSk&eKG)&t{+w;Y?5xv35`FvXXcOfmu^r%4W#e+u!Knr@5A(S}o7
z@!z!!7+|DJSHDYd2FbWwuO6_+DF-)@&Zagx5XyXcj_uhzawCZ8%dWc?Xuq_Usku)J
zodIl26v6^>U*moa-$za8xt%aFpS2GdZ+91c;#)$Tcna1tDVo4wBGsAtnFbO*p3_<s
zTtV)Wmm7leHK6qFP%WPv4G6#F(i|kOA+u43jwbPIfNq`le%%rrDAbM7ZhLGXtV}lP
zgNf>J*s(o8#uW#AFYG-#A8#QC4c;j@u&Bc&@u_?pA`UvN>vnn=cafT7huJ6N)u5`6
zj`UCr2d;O&6^m1GV4F2noWZFE9*r;h%_%rgiTL8Rm`Vc|X{ro8@2SGorJy4V-Z-$>
zth!RTvJYlCDvhl0s^D|nO)Q}b2f_ii{jdD#VAMHc+4nUC>R(p3`bg72S<Anb@f~`2
z*4o1H@el<rOGjrYm(qZ3+OU$!Ge)4M|IUgWCqqe|ws+s*eZa75Zv7#c8JLzVwyLg^
zfs%QPQY}OaCnSm|Iow&nAw)?tLyinN!8b2>Y|{d>^LS6`Id)iGD(EbEpaPyxVrt&(
z(1Avl+{5!vIUzjuoyLV#W$@5&__rd?0Ph7zKVC9&LrwV0P>mzXP_w&!I^j4Ys0Pt;
zc02HZLe~hTxP=7PDn2$EpO|2d-#Ge5Eibsq<Qp{|Bmo!i()b@c7SJ#(oE<gfhmYYU
z^yM8&aMbrA?J_MJOvGGQHyRay>BRCImHtZ5M8g&P@+Ujk)l4NQJlPM{dbSR}`;`D3
zOgcVIaza&zLsWgTFi3=5)p*>g2$cTm{wti^;9%?VmL*3Nszy4kGoI}E;BV{~p9v4p
zJy(GLI>g~~;OX?&dt7pc^i4oGjTe-21?z;eB*EfXHEu3V5gr9hJFe{T!N?68KfysM
zI5)=D7*nMP&&1oFuEYqyZU#xSQ$q%F2l-tLR~3QmVUIUZ+7Ew&?Ort%$bv+9dh>x}
zN|4ageeKDD5DW_`op>!R2cl(5+J^H=5NOU6S==Q8hSy7Hu2#welWAs*Tp0;!E6>}g
z^oxPG;P<8lI|WcGiTrk`KpAdT2sfPAm4N2sJMvdHh@kY#Axz|(3J||A)0;|20Y~Vu
zNV-BLc-RoR9-Ko4fA8mcu9nj9ODDVWp}8_lcm2555JmwD7xI?L4H*E|38L??3ZxHT
zv|kTa1<z>W0K*4aNONVBGAJWMx{^fhp>#FqleD^0$|whE?25kI&J;Lw=K*!3PaTZ&
zd#;0p{2q74##W9~z-gUJ=#;4@Z0f{tyon(|ZSX}ENgGwD#|PV#f71e=L+;A#l?t$p
z8!=c)P=)f&&_bVZ9ndMz6L4%Mf`y&lc2K%1%({uZ8ldPw?$3&Ojs`^#-jvqU@lu66
zr`%55sy=WJbrG(oD}h0~hZ^Ss1ypKI3|3YfLXoJ(;RBi^P*CZuevD8+Ht9;;UW~)<
z=x*P(JQ6ffrTkQE$zZ52xa+qI5Esbh#QT*5gYv6I;&#fQ7@OBYtuTVa6Yo`cYDsY7
zq~cfCLPc<4uTQnJFov5i<c*BHNx;^}HGH#zu*a9(RN;DKuuGRN#hR7iV14dTO(q_`
zaq!((7NEk8n$@8FvLbXThW()nk_P5b*%Oq5RB)2qQWlul<38@m8-i8hpxd<E$>>al
zi$y<zS)VGv50$o!q|W_79`4pNKR|_p*$>?=Q3-I(A>@M0SzZVj3+nkRM1>=7uPWQt
z%Ym?$w0V;ZJ9ylE5>?n`41S8weugXKAy6XVaB(pm_#%Wvy=Y?~JUiKc?2Zf^%|BZE
z_V*@YTH4`rMBEtIE@nQ8S=!^kvf$?U`8kBJd(oD%_YQ=~(y@a_CE>*D6TK~Foyd0R
z)Ikd{0`+K?DE~)daC6o7d(YoG^l4uH`i&NV2h#2j#rAR<M=fl5HT4sH;-kGO-~@1i
zZ<4KGN)VptO<9OoPN7-SkA(~x5LhtY;H<Xhhq0=J(-#@%(WwvCyrDyekd_tyLUMv<
zFF%*&3cmeCBX~+T&Hfnx0p?t`%ejF0<w>L84GZWQNu$c!at2WKx7S$4g&k^rBs)H{
zFQV)DF=EdS>jRU{ktn?iW_Zbz5_7hD0eya)^L^DVJ;0T~B*~8fmSeN<Ce#Jg`KMz`
zTB9xmhdhY<a*-DB57`L!{r{p>dUPSIOuE1rz~ZklgoE^#KlCH}=Fzq&Q@d}rI#3hx
z<OoG{2WeXzC&xXVML(Y#wNJ^_2D;mY{ri|UkdG>vuUwD+MoG_{<u{hJ;AZq&5xVm$
z$aG9wldkX-nvwiV;GLBgtVU5QDs2~$fVwWZzR_{?XtEM-N{J@?4*&rF{}h*ZJk{?T
z#!<@N<Jg>obL@F+&PCF)BT9q{Ee%8xX-P_<LFP9JWt9pgpARxhRw6AULYgW<)bITM
zeO~wLd9G(&*ZZEe>v>?U`Hi(%spX_!^9XS>)iTvk!~_kuO<(ivoMgRAIeo+F*)Z{<
zboP316cew+)D?!-jj??0Tk~E2F-T~0rDn{H8bf8tiL%Jr_pF@RfSLN-w}elmbwIVJ
zF|MsP=04~#$ZB<3T#@+SD}r}o@?F$ZBY2luWgg;t&8qzq&?xh}k1$w4=t`_Gf=>;j
zYJF@k>%;7Ofxhe)L~=p`PcUJK165Me!I!&P6RW;0PNzI4R5DwX-B^YY>GV9`ANh>c
zwp`v}zN3qX4|`U6x4{4r>9Ri$+-qj3ToQ8=$m<}YV^jY`tT90HL(Ux{4fQO}Vy>B0
z%Fl?`wgcjad-M^SludkEc);qT4&C}L@s!}>H;%mJua7O3zfCUWRI-+4?7H6(-b#cF
ztZf|})<f?`KU(yGo2<G&Ro{J0TZq%tMUQPfdT{>s;mZ57IjrfM5{xO2W@1mbp2!1Z
zUChQvF5|5~$;ywh^=oZzB2HL8l&ucZ!P$s)s&+Ba#LMP8&I$=l#HQ{y!lpUe;G(bI
zTj771h$`GV!$@f&)OXH~h`iB4=f1Lx+kw{zr(Y4?s>4l0sr<{Q$_iTeoxCsKQnZ+m
z$SYan5Z+9*2W8S$Y|})PKwf-#Kslj2b*h|L-9n^GIqvYR(14prLh#E6cL>T|yY*GR
zt;Bu7DRmQ04Fp@%2shljM`X!cYB^LsAtv8seto=wfnCD$93kb^M41@pv+%WTL_*G}
z`}+zy<bO`?Prdt)xFzC!)<UhF_^>AB{a#@@;=c+})^^tsr#d~K#yWHoe!uP1T@R?k
zMRM(<B%XTW*TPm$p;ui*%__CLpjT=*V<sh%OEeH7{tr9CO`a2j!8Pqy?A6dx=hl5F
z?J?0XJQB90u7@Zr{Gs)vQWfuHYo9+!Y$noTwwSL7?<Gtw{k9%fSH;*F;jWOPRwA&<
z`K;RJmxS=>+~t;R8X9)ptO%ceN{n&`df$kCMI^U87~e*rA$>(nT5x1LTYtTfK<^u3
ze_6Ch{$(o0IWO|0%XSf6o7{Tb_74yhr|r%5P^kE%nZU1>*-cFBS6Y<2HAFn}AScVS
zRnVU@wQaX;524eu``E3O?+N?8oHiTPRj}j2<FO&pUP6MguK23JC{eXrk!#}}Wt2+G
z=xrB$NeC4s4V5n)BZ90t7V>PBk-1FJ&1dB+;#j>-ot@DH(eN)bcx{mq3OxC{?p3}a
zctn-**X2wSS^U$f)jf(R^axVp+d4q(9GFFf;}?Q2s%$WhTM=CXdMDjWhlsd-CCPN^
zccS`9<kzd#3K+c|7vSplo+#=#ux?xH6v1b1`BxxD9_B{YFaD~G66cCnu3%;TBy?-~
z{~ICYptb!*hM(#faRt>zuKCjh<ZIrU3CQ8asQ$=5-wC3_JlViw<TqjeCa#I;Cks`-
zsz+kIlSER|QKPcJd18-ELzQHe4E!&bN*%iJg{b||elUu$NEob2+^i`rgRTCjtiP=L
zPE04;WUW)=AUEH9lr|JgL3{kN=Wpkxh{2iTZeu;1q=fLjGtFP6Au<~IrK#^H(UCLI
zKUTAZ>>D<;N(+_-BZndNaeSI^b13h;)yqxxMkSZ%O-cc-ifXb(vqZw~+)Szt4|$7r
z(!L>53Kx>{c6HRv6TGcnC%T*YNImirSt}|9A#cJ(D|L~eWCg?z6$_FAAzSgKMiM9J
zh&{83gA{Ge>=oWCLh_h&Q_>DdV&CmT2So}OX%^c5VX282`7f!18f7DiXEg5}mzOOi
z%Up~i{dFZs^Gp{{VHHUTPn<H=)LKT`-z(<e^pzsVk9VKUP?Ur(<y_IpBp&kgpg}!%
z3x#YLS<Y~?lEi1mda_lApZsK_I8nV{j%>SX(wu#iy{@rtWIRQPR9?<KvpZ0cbk}Oi
za``EVx7?D_F2y1w2mcN?)lOw{2S+1)BwGpsE`#|u_luEqo#_0<i&XN!^K`$qBxzI%
zKAHR*B0)|BPBV&6sFFhSPFIMh6u8HwFP%)4B2|_ohOf_6CzV!+J1*ZPizfGL+q-{I
z$bwf>uLM3Y$hYcZ6E$)2P`bE#RY8&*DfraZca4V@nfEU3*Ly`JB=xqLByUk93xlc?
zZ9eLdS*sf|YxGrc?(UQXS*1*>F&qYxo%PAETOT_^4QL>Is#Cpusbs_VuTfX-7?6?2
zE4XFz)KE4d_-IN|l?>x582U^xBHx@2Q&^S6z_BxhBVKcA<gPR8Q{EmlCV%N)JqHeL
z^sK+iw`QD9lEGT%BkGtW@$H0X_ELQ~AJr7)8`dDhr|*3^FknLd3Mv;1^E5=jsn^BJ
z-fEFoS4Q=wH<*&ALi@JVe>X<`v8&s&p6ZZ(w%&r(9%kfer`o!q4pWFNk{x<kdgMK8
z(e|UUW@OoEA-QG47U(~3eyuM@pM1Z?dRjx<j2t=kaPpLh4QM>=1*@D4NUquIx_4Ym
zNmZ@$quIHDe7N%l(@q0YExC6_ca%w94NZGqscMIH)I6OyIYY7ye-3zkHzM7cyf?E>
ztbpeqh5w|q3`uo+$wwgx24tpCTXbEiJ>1U6r!1W}AQPV)4^2C-L(XlV-tLgP62Tk%
z<rmm>0v9rTN6P4=K(T;?s-^=-Eq7XMzdkv)*0eb1kqQ}L((vM6m;;h$91TB>>XB07
zr^_A+QpntZ-G{%0J3#ACXXDd49a7{%Y?7%0KRJ<*&JZ(oz?qq%x>ELi?=<C)Qni~R
zUIggS5?fZ{V@9d%(MJq2FI#EPe$mgYl=Ae!&BiOSW4gmYSy-JUU5j_eG%dkB>DH+F
zGxj*MvD<%cGmTVSzxCbmr-JzTF(G}rcLnH<#hgs`JGnEYp-n9pgG*n_Rzh(Fj+t8?
zdF>%j?u(w|hz^y6)e_-XLA&e_`gg?pOq?`%Yh%H5)Ou-b55L#?kFZ6_LC43(=Eca0
zznL>LNff-gm&Nx=(H8YHPp6h;2$I1X++05(gV&d>M1PzHMver%6#LFiHrDa2K72_A
z8Us9LPZn4hvwHB3KD9_}J@PC6$_*JvI<$TaU$jAraJ!#__Y`rxZr`@jBpD1?j9vE;
zvq6wB(f)IJKXEntI=_jR3{J&g(<n8!hVB+J!Qn<1Yde=~>j}0GJ~H7Exv<{~kEnXX
zCle=GzTrnhPramISg&HaL$xJ}uGQxW?V4ukmKW~WlS{#XOv_c4fF=G|IsW@wwZO7o
z3@x;epuj05=Dq4}3sCRsc39+dqSS(8^$uSObgoR=yzDav@yo11GJPp#BQ@}469tjJ
z@w1`p%yF}3MP|9favXPGzI1Fa1uxfiH<~;#L%!OXc=rdq5c5(Ey_rqHP41|@H(bo{
z{UMis$Ra<+f-<_eK2R`u!R4gyfGNV}7rUcmgy2dWs&I0ULE*6sSH%cZ<fgnUzRWLz
z`gB*T%z7DIvO00}iMS~=Y})Fz|A|1ahay|QK^DGMccL~uFu}UxLW5kNMA6+*@*$X8
z4&H}9tQie4!548Sf9vOBuo9%M7jKt?nd*I;^GYVjIGK6<MwK|Iy$2qvmCD1qS7_++
z024mvXkmA=C9tOA@W;XH3fSYxbX|Rei4o&(#b-~k{qmc{$mU8#L|n4&=ZIvY{*A{p
zPq-A0%YIm!^il~IRQJSdyD{-qRM5YMoin}Lk3SGStqe}eSc*N9iG<G)=^p|qh}yI|
zw_QgC>juu&x6_!QKVtNp4U&QD*p>JEZ&h&oR?3{G0ux;4Iau4mWHGa`ytXWb3Ol8u
z(EU^<6#wZ9yhxP8>*U(=TbyX<YuYh---rnf4qM94VtJ&;ZM8cksEV-sjEM(qJ)iU*
zZHw<wz``A;8FZ;4Kh>q5_XrbPICQTJb1R{5D5GI>ni}f=Q%F?4&%_be{oi<$m2u#N
zxV@`~IxZP}j@`P*1eIdy?@lU%V}ST)CPIgeWm1{MdJ`-O(=~k;sDkM=g*9&*>5#aP
z_;pp433OVl$Ro?B&>jk#E8oR{#^uIseHy0dOuNY0R!l|L+Lr0}OElmeHh9qOrYVkf
z<SZzzqrs`*>RiNW4Sc1}ESWJiL-th{n~Vt>?${}EY?#(Sf2q&+ylyl6IjP~UdX&8%
z<6F1m9W+sS@$Ty82y?{S6kLfFR)c_njl4;eCQ4@>?%YkaK#_lVx5Gs>{J!UTSS3Ld
z9*SFwwR<fvdVctnfPgx<eO;|G_Gu#5ZhN&wk|kb#ahTs4u8#6~7spORO{9+wHig+*
zA&0tCbn&S=WUR&dIomZL6~lib;+GX_rwf#71?l*vb>1wGr2#{K&!pNsYveC`D&J#4
zM|oTsxBpoN7N5wUYPGY$E~&wUSFUtC8{l-exlf0o)p*g0mo^ZuJ|;fwOow~v>fxRB
z>JUrVV5{lFg0btY^GRbmR71GWDO9Rqu`QwFYa0uX@Bixj#Yu;Kj$OWYiYmO7KV-Lw
z1L+E-<3Fm@(e|YvBs-7>u9X~Me+yJz3d`vBQpXpYw^uTBsED(E7jxJN5L&@uw{1iX
zn$wqd_s%MVSLA#K??#|2$CdZ<W;JLvy0$#Os04^_T^7V1fBtmuqkqk+u+_?)Ip(5(
z7ay~Y87@H5%mn9tRaH#h-o0}~Qw}wP{udQ20WNKUF8wGPK2ECtXQ3;DyA$Ge7K(uC
z16_G$6BQ?Zj8KOBq;a_{`?~l~7XF6hD+dU%IeK1J*_o6?Std`HT^0*JQ(gq@-=Kn0
z*3#vU9uin$+|)+5V4*F)iT87^GE7HZ#u#$q$o)uc=<cw=dN-#lTCbJhYqB)tpST$I
z^S$`0vDpTGx3kyu#VI1*x##a6D^dJCv@iMFh&48=Ov_jrD<GTY6qJ`H0`+L)`{lvb
z5U6L&)92;zS^L5Z4oMOC?YuD2JYj|0n^#zGdt|}!OCn<GurNFo%PRvztl;82H80jE
zg9UwSml7#q<jGV<oE*0Vt$9C($P)@K?aR;q{Zk0!tiL*cuqA%`{)#UflScTL{wKc#
zg~2-c_j1{|1stV>9rwvgBkbZ*ru`OSJTRjYLOU(sdr0l$*_~3bh%LMzHzEweFrc&Y
zt2we)T$1PLmV}ImO?uH<5$KfA2gMJXBg;zC{fdhulxpe{^=d?574}2<3Wqrqp4XC#
zA0(h_yZK?cr6>*vOkBxKHbYANMTM3$37AYibmQt4g_Gi1k0@m`oZjTp8Rad3Wu;O@
z4pCy*XuZqs=zUWp&mX&<Vk7~^?og*U`r^p=+;VlPn<+m0aHCvMm4L(_ZJiDC;&3#G
z=JNV(g3IZ*O@C{$*Y!wJiFqM`e2VGLwu>gnW^S-@caQ+NbB~xAAqh3b@v0gd6Aatz
z`C)QU0{Y{Wl9UHhP|6gykNe6*&eX02hX?HWt2u7uH%r6gmw>_1>r8}R8C<F_CW$of
zBgaxkDEP8CmCXoXqJ8_Dk2jA<qJJj-dW@(n9=t55{G!T)RY=psp#@1qoi@1;<thiU
zIIEM+Y_6+KT>Wf&vJ{p!Qt7dI@}M{cRljI7#`FDgG8RVCSSXyR@a0s5QGVa3M4mBb
z_8w%ClhTNf4^JpRpoB)<V`*h4jWNf&|4_|c3OJ=K3Wg6U<Lm4Mu`a?GA-Jg3e?bOs
zJzhO&wpBqsZ`S?Xy~arCj#yt6D+}u59kjI~R16hqs%>Z2pOZQn+<in2{~gJDzk8I5
z$BMQZJ_*Ly5wP)f#5s99n96J(sih%WY=Lfj!x*YQ-8qj+6p-MecTON(6?2m1#@)}2
zF+#2BihZq!f;LiVG)xT_%MN!}3$o8AT4OwyPZ|5#-njmCQpcW8`v=Z@v2#j6K<-kh
zGK9|Euslkm!{9OU+AEldTX~52&qD>DoX(^wPSMexb#&sPj0qGeG|LnJR3P^7^k$Vx
z24V!uGD1>Kurztwt)yF2aEI&HhHlqD_f>w*%d(~zth@Tp(u;<ktlKU*OEe+deWvr~
zZBsayc2q@ksNzE#SA<leCTcTEdai9SgR~0wop0Aw;rvEQ*LX@3EsLAKaq^g>l`0)4
zV5bK9H;<Sjrdse`G!kxWG{>ivf%cSMHH`1_=z8m=h1kodMUEs`fD+;y1s`=pd+jKD
z@2mx1d6zJ0S4&(NO$sXOR>y*Nhy<^!7N#0sc`;<Ikg9C_Igd$)pWoTWA61&zVBeB9
zI&6hH7Qb`i|C>Me>jk+CO{D$1m$xS08i&JP9MPzyBXiBso#*#xfNVTIvTBnJ4wx#J
z-F{7n|FG=7XNe445=e~x!NtO7J&w-T19YSX7s<bgrz2=*-?fSi7U;QWlK-^O;rQcR
z?^(9qB~ygJeL-MUL+^>?Wjb!xcCl&{)S$An>hl{rwhvGF|9ZWKj^gM0`bIiw7?|iU
zh}Z?Z{Ae<MV^kfBZ!8Y=9il>QhgGR`0>J<Nq4)j}b^JctJYYdnf!4|=j&+v+!^8a^
zRWH@>S;SQR&<!P21=ck;T>)bAyz>2+YIwJ0c;TS30%}SF`re)c7P4O?Upk?RJJAX;
z3_=!(Uey6Vqk!K(^3!j((lGe--cJrTS05-D52SAb4sLlLDa=hnVb#}O`7=_8o-O`y
z+mM|X!{!@itf)}VoE-KhC2)6TA6MTJz`a7aG%id9mkQ^Zr}f0Kmv7ts{A?C(FIP!A
zaZ4FSNu^VDFGUfv?tXir1`8!-meb0eO3<L(Jy2LBf~BR0`aYD}z`x;EYUO%GNF4C=
zsLT+?m*M74cWoQ!>knEVnUII<%H5)y8A4!$rmii#VU6J(wuWaf$l;6)9l{cVXg14z
zxJA(#r_}qD);P=JO1_hrx~Bk$)c)thMJu>gwXHotlfk6&VBn7teyk~<di;{l3d>tJ
zl%5o&K=R=HU4a^YbUVjfI}>k-jUknFiZas3@LgGQww)h|>emG>&9S-VWq3oag%nn8
z^c~Zc6M)-)B5i457Vt5Zc^rLE67RCacJ9g&z_&HpKY72KBiZ3`j^Q&2*s3Hwk8>2n
z#Cgt$puOgJttn7&)=~mL2Sz3K(S@KGRI$MG!wk26<rWG)76(_!v5g#>!YFnU)^vz6
zL+DQfOWJmEw0F(TzF>&p*3d((U0i0^6HPbORTM`w^TjcT4iT*9MK^iD6oRsPQAuCL
z&}>9XRGbh+PII_sGL7y3FDw_Y_KKl<?5}V6Ix!rd(s(NS&;%vp6^EPHe15!i)fzdP
zIQ}X)kQH7gkPv*Ec=Ur90>%peo9C0jfz8#MbLN=n*-DFb6BLKsUZ)GuOC-Ugukpn6
zKPGtVT@*Xlh~sm0#rUXz6nZQ(j`uq=VS2ufdF`q=1{H!7FVm&b>Y+xCaxwAq$Qjzn
zf8tnItlR!$Jq3N&W-6aPGKR|Fx?Ofr67ccZ6ty{325a7rG%q=7jC)s{9PccZ#MwrT
zZE7R3xP|rCCD$6Ga@=im)pbd{l>e!F+(8}}1UD+C$s0pKHc#HdTMAb{(LTl1Dqu_5
zy-xXABdl(VjixC{<IZo{sE_taNVy~#81T*rtE~UgH_S;xs3iG7?p|fw9c%JbXg9*d
z*5;}kV-yJRO%6J(R6*-aUM1O9BbaL%2R|Q^fhTouaTk?}j;M;Q+MPzQPv=PppOZzV
zirX^1<urt*sL2|P7@;7hBW7Mf9_@*`EizLyycSrr<K<@O7b`O4@_Gf-3T#su7*K`%
z*!}NmOk+r-1g7a{D8lhAYtp+z4d?CzxZPmqPIQgJ53esu$Qb`*@~M{1k1r$+ayA>I
zucnJ4Q>ctw*;PgR3+X7-E-P9|XWxtYEa&~rDmW%n^^bLifrRO0D@QVz=y161E-6KY
zqPYJAH9!M<>IYZwDw<%YiSM_#ZYn-H+?Lu&*F@3H>gkk96I8u@%QtnFhJQ~ACKg_5
z!pbr7`PYr6IQ4d~oTP&){Eq$GcX*E$f&;W3N{E;tS-kAN<Gd>N>WUffd9Q_4`<fGX
zzA!^m{db4EH`I_SwU<0%ppAPzyDe+4o1;Q+G}vIZI<!YTDw{mD(M3e9VaBrm*XcVU
zr{1We|5xo@`E}Z8xI{K=^R+~#N$bomUplD5ZDgnryFU2JS|=MTG|WG9sd!2UBgLOr
zFh>iHY4+yF<gM}S@9T_B$_z|<?edtK)5Lnw+)B5f)@U(pwCVC;z;I{6p-Gx14(__%
zG55#@wVC0^=b{<#F_;=HR?@(44XZz+kt}d8q!<OpFo0#dCQE*>eLXtJAY2I0*?!x6
z{T2rN@7Vv~xX#u)mp)tP0SM5$Lf_LE2zgg{Xv|U#mNq}f53&9E5=Y~c8Me--j16af
z8fkEuZ<K7V0!m80+G7J9odW|M87rs=x#lCdvIlt0H>sf7s*d-Wvc;F0lyNwtHC}QE
z(B2!gI+v!7hDyt7seDDuZaQP!G5}oju6w1jTMhGrf=a93$)V}HsL<*z!0%*6Wl(`C
z_PnvZw|}J!_NI+3ZNCQ$U89q0duXswOnka?R0`Yo<X^100Qe`m-oG(N#hb6kGxXU0
zPtEtYIvogzT=ux9BTq%GhJcCaTQQh5&wjY44SX0avT(Oi!P_q@RC&zVJYPKYC~%ks
zBey{{!>!7AlDt*Gv_u$N&%2l9Y++$~#w|r$P6=lFt~uoe2x6>bN#e;q8;D&|ncNho
zfLDX(0yUHP(LQo&rQvED$nJ|{iT;*D5pjleR_24<vf8Y$`_@Q9)tuc)S!__Nz4=U<
z7q=CDId@X6@u2(XI7?dwmzaC^8;9^9k<q*7bg~tqA{1_yev!u2Ija789v+O2|Mn`J
zw}hhk>d#qEr7#)hxI6yaa-6tm?#C5kiKNi#^|_6bc-z0=(=W+`NaG`(4lgb6wKw(M
zyM769(DHQM!+GFM(ZBk4wFSb14f}Q2zS${w^UkZKym*zo)HdspId~VzeX3sK;Q3JM
z?bN^v4$OPUFwN1@*6F|?#4!0mo9|E&AHuFK*nFulL&EVt14nJeu#V^`<Gsrd|4Uku
zM*3!WT_`ZQ^_?gpp6UD-^IiY}yNeDbRhr`QXYRcmsiL?e{JurNPzbY`by@nBrtJ6g
zeI~(A6lpJ(oy+-87zH)~eLgKFU|JNsXWFs*4f)(g&vX&U#^32*<!yrY;-6BU?0)Q1
z0>8$Uy`orIR+C}K=KN33Bem=uMKN{EJh)|p7*rkX`L-l7@%wt-%BcOKkT_hueU-B~
zh|KI;QkqO`IE}}#w?y$WIXEJ7g9Hlh9v8jUWsDbrCtfYiiQ++pPF27@No3WeZj3x)
z456Mpjk}x0FfbNlvpP!(dMc*b!}`W(;@K1v*&_zYir2+lZ=^9A_|b3kCnLltE=e%-
z6UXj{4MR3MGEh)x{~BCsgif1JZNm%Va3_vsr>DuH>R-a6v`8aRJZ>C6UoHXdsQj%-
zLh?B7uy8JJtr0%C#Kt(Yb6jgsK0Yu<0jg29d*7-X;jS5XuaTP+7PJZ;s;^K2B|UD-
z9zi3d?RmV<1=0{G(z|6JtBmcd1VfkqGeoeHCRhFn3f2V~%ZzPPLEv_Oddh+!V!iZE
zNc+fOg}CdX9uF#{lveU^E;mA9lPcH#Q?j@n@#>m{6Ae4=ixq8BGQxqTq|0bxbI$9?
zU?)da45vm~-E=U*$A_P@UPvjxwv5qH;;IIpf~CTLj~Kyr&1Zdjv?8trlx%$KrH=87
zUm|^*jWDS`iZ*s$L{=<6`rVI?zzYpCwaUhb>7x03u2RNB%hpMsKnB{~Z%chUXAIf!
zT-(pFD)6uUls4|G0ei8dGbut$I4q+Md#|M;>g4BjcN{fQ5gL~^ca4d#l<7K03Y%+r
zwJ%y|Xu)dObBpvk6Lx=Fl5%{EhUKGg-bH-T!d>6Z#{SDpQDh^>>3v5P(GRY0%%*B%
zw2K~er^gh|$M0D;N2y_b^|vW)aUCT2ByY31ZHDUqs>pB?by#yfSXU6NgF{<}#3HiH
zQFN?y<KuC4q+0m@3_GI(=8tDP{-s!8BK)kw#A!M>6OXv1AJoB-`fBdRbC&4aa&_l2
zDF%+QYF+j)bU@~H-I+OKg^DQ0=YB~H==u7%iREbHCdb{H)hDbGXQZDW^??E9nx`)H
zFSVc}vhli9xDBRj`A)d0XrSHc%k0vAO_X>k=2m*J&>tUDkYuHS19yAxHRfxeRqgdJ
z9}yrA)smN)8W_<r<B+jqK<Hb-lcF8K+3B-NZTuPtJ}5P`@K7B$1Js{7+y%Cq=NrZo
z4E*&nDI?|7P!ekC)B2TNpLSJ4z@35r0RRC1{|uLRSk7M<#@kbS@A0<h`@Ze@y&IIY
zR7gpi5b+c3A+(3Gl7^@#q(MXI&4>z>gp^UFA?;M6e*Jr{bI$c#_w$_dx$hemUmqU|
zCc!Y3y>pkS1%4b!jH`U6jFLfbE}2F-NE_>Hd`q@~&FXA_l$0_)gqzj6ZjeQlvwZdi
zLkqb5`}14dO9|#F5&EA#OTs_riDcIL{)VaR)Blncaq^k-!;5dlP!glU$tP}sbeTux
zyGj+1Xwr0+i$w%K!`?^M{|4$)+QZ(~k??bQIk!7X5IJwR+}ij8IL<HA)7>JEwM|aj
zmW}zbOJtaodIpe_I-3>OE{6dZdvfGPUUUqXecH4Y=zcZDR`FIA+dX3FUG=yyzSI4J
z%m(0v`;g9#=Q0@jl`MQIgaZSXr4f>+3AhTLs(vyrg~U3!ysZ>A=&6<WH~uuovEGwQ
zZu*kAvTZt!|1b+0>K4Xq9nDd3p>FPFmN>e+Z^K`f8GT`04*8X45SE_4#>gaw&V?zu
z2z@3nwAK!5bDN=ZXNtnVb0T1p`+N0y86&(hGXiuDnWD<EHG$Du7^ge-j_lvV2zUR+
zALlzwP{Pn=^_Wixr#u_RgAXv`)2P%QJ{=QK#Kfn4R|Rmx?7sH&Ek>kl`{bc_$r#7u
z91dS)7l822<UlJD69xwuln*l)!%K`gc#g^su?5x4@6VZ#o%u{zB*X|Vd(_CO5qz+n
z=<*Cd&kROQ*24$C7{bY6$57}1FMe6>s%uPQK@fS#w%pYa2+Ulp@Zd#`2v2OlWmcT}
z#eHq5!vLA%zd7}P@Zh^MN59l-Hl$^3D?4Rt0BdYF58lj!TN}MvJf%6X^Wu>+p>6tD
zD3k7+8Q@03<<;l*X`JW^U*wo})JGd1)8*kpZYYlOGqwnF;n}E}j9i}{GTYsQFJy2-
z;B1VEU=ufD3HA}aAU#Zz(uC8lb0eQl<5fDri)P8Y0)BsW@#EN5-=v@1sB}`?#zf(R
zXt{;Y*Ymn4VzishbmzhG!>P6R*7Z;^lwF<E)djzGwDFH$JV>Oy4o}=D0CQVQw(&k4
z3>u&}c^fa5!q_OG`vp->4q=iwt%FO#j^$&|c~R{@la_W>2v)`HVH5f~5WgiHFW|_B
zv$-!vK2HkcPCYH<%@h@)*^T?9NBNLpfA4*ivnZ0T?QYpxMa7O3MR}tO{2)aCQN3S?
z;pSR*BV7a)i$DGpmADJw@{cge-W?J+=Vj5CVn;>E=g&2j+JcD5X5_P4l|)qn`?p()
zRK%Z*4!9{HgwR^ehu#mRv5PrlGdQW>5-DGukQBx~-^Y<bcCr{BaOb1`r66|;=kfbG
zBItGEBqS{5(4ip2p1e%KZtH`8t$aj5n|zVrxKSRArSxpxOjM|88N{5wDhBZme-}+x
z5}xjP)-@_c#rf=(SBZbb5zW6Z@92I7oCq?K3$j_ShcFB--zy2JxVb|26h+iH-tkvU
zpdzfxrB!E43iOg*G2yqBkTRaNC$^J{T_rx0@faBZS3s!0F!6`ZJnT_M9dl5`b+Qho
zG)m|hb7XOULodZ~Nd;edcs*X0>7atY`&CA;96FUB9*7WD!$`E;$w8_vx=4DibPn>c
zioU5_tD=q$xuC|(UR^A1)-v{>kZ@hHF6V-Z2K3J8>F{Rh;am5yqe>zQ*#5XtZiQPD
zJa_x|33}^8Z!|se*op!w-BsD7-)chg+ku>1YXjudBk9veMGW|lSbq=Ef``3JSF4#J
zo~C#eoTyep-@Pji1|PL>hWS6Ik2Xf|(&-(Sk5a}j%BEvcoZ4t<P~OSyZH()M32LS~
zD)_UvT0r8T7On&ee<+AGfygf9bd_EegqYQ5OIB#%Z+*7KhbyM=e3LG+ZI>!;h=k|f
z<<SD&IVmHjW-~kqdgUJZR24H~r^i|}H4*t=N}yDaIlS@*j(=oV!=7pvZ5dV#tdN_8
zta=GZ7k=FrtEz@dyW??<#cJT5Q^`v92Hq9_Pz#n*L)@F^4L&TYcx=7ZYs)j>$S$ph
z&S_P!mVLSH3}rAS_!T6GSs;pR*u|Ht3g6}bTw``AqPu5qTdao#F3jed_lc^a^pLuD
zT@VQ#5pvz0NfxkB?$`Q#Oa(K&2fZHtCx@bxpXF><ETEWm_?}U%GM2iM%zL?IkR>IO
zty5}&PUk2=^Ij$7I*nhM^_PHvrvtB6t_4mrn>|w;RKzD4uRB7EA}GGlarkMZ1=IwY
z+jk5ofP-U3zq3~m`fDGH_?#@j@RY}ncu9h2*KqM18$Vtj%8PLmS+7Ue(m<e29=1A1
zu76SG!AVJbT6-_>wADwryigA0QSY*rc@7Ml%}$<82V`Y#JG!OHBIk!1OYuQg6tYm=
z3e13tzt-=rElZ=ZW+(9{l?i8iMrSqFb-o*a+azvQ5*&H5Pqe^*i^oSA`&0?6RX*Kn
z$Rq(%rB_C8W9dNIvu{UUlsPy$GdT;XVqiC#aLfr=B}kdHFz1(M(0-KWus>b|GpSua
zgd6@6Zmr?_L#52%!duenJ0*ns%Rc|zxW7WMQNP<O9yWz4=b!J#;|0;>Fm{#BYlXP@
z<DHq&GZQpbk^O$@2q6BtaY8}T3h{QU?IC+96O4=)<wUdd<7u|co4<;Gi6#~HeXqlf
z;mIp!974y3*46Vo*OmSe8>B{@xIP%+QiOmGO@tS5tJ@kxqgILjfJ?lDi4mH(x6$p*
z=Z5<b=bLs;ItZ0&Jxso8i2wEoroFf3Lh;$&wy<S7ti7MNW#TqOcDHB3lHvxqzsvC=
zF*1N{i^S~H7z4!58*xsVa^eKTP-=h@BNDk93O~;1<NopH?B9tTVAIS0+UUy!b7JE`
zxBdFaa}lvVO3#7#I62+myUg(F=)Pk)qK9f_Q8~H_b|@~p|2itoiv6q|aSiLdC@2WC
zjfiDO#L;0n-z#jezY)vxYEl=fv0fUCG3?0r*$}?TgacPHpTEnG(8bJ_uN0mVc65GS
zyizvJi7$KRtL@lzF}eMo(e7Dxl&<_{3V6(g){tH%`oi^pNn8II{az02shhQ_sac;Z
z-*;2920E}0jC!||o)aYN-jhs2yx7|GrP%8|6)Z}u+k{&<A;<XkTH0Se<a?`krbJVb
z`(}?irECN4TG|JDs;%>U$Fj>SWh&mY8c0o4aY3LaGkPjm5L?gntflu+KrQ&t+%d=v
zk3BsV?azcje>l3xJcoj?WryAulDyCe>M}f}FM^C|57`4Q6r{5st;}2JyOjN1suN8V
z8ZI4URpJzIIlg}JtBMceqH$hr0pbu3FSl#`NrrsF(ayj;exy)tu<<BL!sM>puc%fs
zY~|&3t1k(_L^hvQh(Q`#-EV3)-z3BM##iMNcLb5(Cd3u_R|Xfo+;sEv$>@tX_b_fi
z2;*68&bl0OV7izTK;)6(#nAuGN=^hTwv@O=1$lTSRPy{TC8K+6G1M|v6p_83Wpy1$
z@PDzjQnQ7OKe|s?AI^!vJEGk;J3#?lr>N8;zsNY<AmDxLgajIz|4u4DQG{zM;|+fe
z3S1Hn|GTa%1)(#WRWEH&My+~|eSI7S2P*$-YWpsY+dor#t2|X8v%gY8c8mhq?BTzy
zp0Zfg=CIp%OBK~UlW(z~3a|UTsUIBWV80kEC$X%COXamm*-Sck>|0UGY`4x!e5>g)
z(ZFrNsa5kv9i+KRvKVY3q0Hn)@4H}4urzO;V@T0O!5yDFElvuU<&@8lIjM!+Y8pKY
zNA)nM(tY34O%c6z0xpurwejWSEn-)MK8COA^$KrO!W7TGPnuF>*l;pz2)$^4P^L#G
z0vwbveKD!O$B&FssVzr0br|C3!I-;BhAOC{cj*0|NQMIA3x*_KW7KLs+S$pYipEv3
zn4VK)Sjx>0Ci$8m@`{%Anb)fLVHJ6Xb0--g?>#x}>rHXHoXhO;AvJiiOe*cBC&S{)
zW41@^=C~M;c`;;M4O?}hG#~%bg7U)MYA$C29WyuAw9VA9i|6)=Ux6l`?T9>?3xFk4
zp>@em9hp6xX+pE=Fu2@SY2FTqpM7qtxl<jo#}`|inbdH<XiEjj!UEnEXFk<Pt3x;Y
zmfqlyGK}Z!RE@7%z|3-|2H#yZ9C~B%`fH&g6s}e|h5ocag*3r+R6-5Xm)M4n*pW~p
z5-&X{VTq`JN)}1(sz~4P#cKcJdOvfnSKZRF1YaP1oAqH8SnDyLH3*ghZ_|+;CS6NV
z!^7?Jf|OCf`rezSA_kihE|yVgOI$yATY}$K34To~kNz47A-gmF;mB_bl$5kihYBge
z^W?|71C@NBDPBG{^2h=ypL@oRz9*p|Y35X`3>OM7-01!qVS%0HO8b4z$>Uyt)mmjU
zD-yEiQfkyJu&-dV$HG=QOo+Kpry4P?`?jpbzdgXPU2->7NEW{z&>5UyS|fDrV~=eJ
z2NLO8`7b<`Ld}NXKjQ_Ki72k;)19Kg4OwlfX@mqKNM$!UBj<_cQN};jAq4(JcBdye
zh~cHda&0`%48iawZ}I6Za~wEnqa(FZ1n->Q_Z{8-i>R|Iv#uLA!<Beh=c9f?2zRx9
z)owpdM9*{W{HA7x1mi4@*JT2jk77Cyb$^s-@|fLfxt?FlAAM^|=I6(T-(6>8y+;Yk
z^T68hdnOp#o_C2T<wbhAJpUZy7;$fVlgSjF35L&%d|p`h@zH-$B(%fFi3Rm6?;&Sn
z7<4HV-8{YlKN4RLhn$-roHyG=hLjrNdy&NvB8&rCg7%j7hEv2p){TrstA@C%lZx3!
zHXPle$;_xYL)awlGYsBk2$rIMI`52Gu~-+PG4gSi@JpJlZ+~QfWV^++`2}Vuef3v3
zT{lncccY7`P&B|cmjr`DBTSfAEj`m!^P5nJQ7Zj&MjsmAI&NliGJ(5Aru5d!C8B*G
z%IzkdJ`^)6e+=$s#Ahe*1J@W<2w8oWf0dzn_;+mKk@;r^(C-~~D|7otB!}q{D-*iN
z<l8XSnaF^DGp{*5JXs@H-r1(7?9+voFL#XCb_NJqNJML^(!+8=qI}1=4!*gH+*sMn
zfSlQy>7o-1XsjPl4hqqMkx&0ztq%hXzH|1-{9;7DqUG4*B`RLKvcDO~Wq|4})hojX
znPF5=U41N(3XL?rt-&)4sB_+y@E;2+_L(g8pA)4*L335EW*;N&4f*k<t?ReRIfY_+
zhl0rLZ`5t{Opsx#yhBOlfYp%ARF>U3M??qNwl*+9@6EzWanuGhyC?j6I8MgZFqgU6
zOlG*u_rI{u=7y!>L*KP5GRO^va_>*GAgw=nZQovAD739jUos|R_hNMRZ~-eemd|`<
z$mav~U~SIRUTuWD{PN840~`DlI{xe*<;UX#8>rEi+IVi4z@4nmfs9vP9Tkp($noBF
z#NmM!2G4+ObDtBD;u{otx`d#v`O?tcS__v2-txr+a)C+pR@MAr5hzpq45s@v(K4vX
z;AG5$gRw>11Sw+34tObCa!M05-;!C93V0Eoc_&LkKmtwHiv}B^iB}mnJ_z08!_QWt
z{fVd)LOA=LPVs7@%~#;8&@ewv-))GBvXVh^WHpU{Sp(`#D`L;J1QEKA+Ar5GixU-&
zSz#+0$W!1q+kI9D2CrxQA2Z9Nv^qr1Rzeel*Itdy2#BEJFSm8D8wr^=ghu#xX(G2F
zK|iQk6x9U-7Xt1nAcgUyMSF`TqI5~AUcurpYtvb^P*#HWC7-fK&RY01e1OcdQ4+Tn
zOju~wmC-WcQ<TM}4bC{9H|!?sJPx~lJVR&QkK0%q@cmoYv;LyvEhSk@@Vq)N(y9hi
z4~a$I95P;XZZ-I4DhHl~%`4k>YM^a%{+&823WoD$E>G;1hfcCqY5uS#T+1iu(uJsS
zZIg|)P9<Tlw^CfRuQnWW4|S-p>)_#3M=jd}1?0NYo&W4ZhR&$I$X*#;h!<WB@t#(M
z6RY0oM}NuaG+KEt=&lFv;oO)L^2#t;sCsD`L&3^W^RuFAeJn04@YUO^pd~lfc={s+
z{~f$ed!n-L8^u%8_5`V7{}(rN5AO9`s^2MN+hBwZjT1J;>zq2eXhOZqOT}1me@ef*
z2}W%)EPS`C<FoKUPxJr<HtvEdGW2E;o<8gSQ&a;w6rL*TAqr->?-fp!nxkbQSKGW&
z17U~mi7Y)OW05B%B|-|=_e`+r5|1W+{yNdl+o}!iK8OC=KA>B7|F<FoO>AylD|~WU
z6I&c@-)Eh$fYc$<@z?U2V2%&$mz7k<(U`j}PkAgMe{hp#U#A9?N@KLOy;NYMxl_zB
z-V*BB=ia>|G!Sh6WxG(gBGC4{w7JU?)#9YLhR4;{eLA1lRN{IcI<BYfqqD*wcjcpu
za5WS=#lAA%D1*s*wFMhqt91ZSr$ro9A(B-Z|EWa`e-}-+KV`7Ow>eW5n>A&8yph%u
zQ6`9q%_jNV`z?{gplPObUJ0>ZxLfaV@*@BIo-ENqOKhGFujvw1gz(r^uD&%^q^$`J
z?{c!l2ak%$r5q9}6xp<%^U|;9i4M|^ISXVn3r(hR%0u<n=Avt<zlq9K)|mc`b*|w;
z;eRQz_@k&dny))fm=AnoHI%nN#_qFIUlpXWcVC^@*AwrE8=i&f3bg=<+xDB@b_rl@
zrfQfL)tvNr>fsYh;FMWPz>C|WNR)m+jrZtop4swI*Qb=gV`87&9<ne*|CGF7(*D%^
z*WpQs^b2!@T->9}GAIDn2hM`m_Y5^#T?wjloHD~P@=yYA3m+=W1VTIGzc=4f*v&O2
zVTMz|fuFY&^B|a-uvZzw%@Jo!3y(XRBCVw5eVfz<SbW~u<3Iboc_i_oCnd=QfwxwJ
zo#xpPuzb=*pzm9=?-!D-RI4%MQ$xy+$+Cba`Don{wV`H_ddHU%oW^*4GUlmp0VDLU
zmujEn|Jq!ZHZ!`s%?QPADUb64=<!3`jNx)nf3x7zJj2Mcb^m58mb!mvmFTv6&#S!s
zU30Df_)X8h2DqD3Xr>XlLJWyC=P-(NHy<ps?D5)RfX#<Dy_Y<_MA*G$+s$_Nd2_tr
zzW}RxeTX|teb}+IK)6#TT+=!4H?Qm^rS(YYug}TnOSx@xM6SOs=P392=BbqozmKQ%
zP+oVt(RFHu@Jl&z!a$*t@bgz%R+-gBw9QqvR-b9&!QHDLK8LmtFLwAaocGtoDT-V1
zZ}mySq3@c-ntTT#X%)72>4OfO9;!Ys;F%zx80h2a@P@eJHs3*Z(Lu%=adM~kII(9+
zH1Fr!J7QO8v5-tB71t=^lD>Rn1l^lE+8@&UiOmNy>8?9b@w>|Hc9HlfVak5d@eJ=*
zf^AFmlgb_n8pj>)7#tlT8um#Z+Uqq$T=uqWmG-2-bdR%}tl$WtWO3Bcr{+6xxpe>j
z!C^AEJb!*ZwfKXWb{}H15E>y2)h>J=I!eajq7u<Nq9erXc=JP2>0?Cy=~^W|=JmYO
z@I!TO{eG$@4_u@shyuy))%8?uOn*6GS->(%oDZUjC3Q{`^`S2w2l;BDmWyZi;OkLh
z!CO${<J)P1cK`C6#05>*3Xylb>KG&3c6lGZuydBs7OlJ9)TM#w{Db~x|JL7w{GqJg
z<vC(9pY4)9p9aEj8?p8HPY{oHYxq_*E)bU@nSA1RsDmZ=M#?1JBoP(*?8vEtMS}F;
zp={1IHGDeR{i@>K6mfW@Om4M&nQ%Nb<ab~}6=Bh3Z-32A69SFhcS+w@2&1VN5&{mY
z=o}5PWR;vH+yl(@e7CL=Jd90qxfLq#2r@5e4V)vijBQW1N6}$l*voEVZWSz&8yl;8
z=80D|+1Z(s^yqSAe^3*qjPH(&S8IZP6ZK6F#DAw4p}JZsSv;Zy51M~~q{<R8Z<}|(
z(1IBg#me!@yOmIIM0i`3&>!NBYZmj83M(=#jlLK4D<ZH+O0PukFA@H5&|4nt$PyE(
zjrLJQvP0LG8|kY=(=U^j<TOqMF8)h%_@w~n)yZp1S#&VmPgMEvazpi}@aog`{FlnT
zT$lfc9-mFaNTmI|u$`>%ZkAI(cvZ~7Jt>TM;UV&}V3H3qqsr5E9VFQ4`K>-9m@&5$
zJK3EpfJwRc$ExE=AdyF&hRLy_mm%C;GFS-1GXBXYtw=Due$($1l^r>`h3P8?L~#8{
z=-pBw5|*Q0rkjUxLX_cS6<xj<zMT}x^<I|87oTTwX7gNN&yA;VT$4cYri#_zne}zv
zaX-}^yf|mN(=Q`W8XU|VA9(3W2)uLprD-o8_O@+EZLgPwVd!{~ss;%QwTvG>9~ZzF
zyYJtdkVnUky}LJskuddi>0p|<5Oy*3N<SJUp>3eG?fwV}t$dq)<!OoFY`}wH%_>FY
zJ-wz;by5L6EK`Xxo5e72C|1Gbf--Vk#3Hp_6p?Y6S++h)0vQ97eIvQ5xN@S;TgFof
zBg0qAofxIz8xrr9epek?x9zpG*Zl<_Woh!)R$08SUVZEPO%vuNeFmk3D(1^hq^;D;
zA!AiuHIAE%f|zy%W-WEhg#OYqrIIko9$-77M!{iiS%(u*>m0RQ{IT*-0UeW+Mkj)b
z7Y`P#g+$4yTV)(o+@S=;L62e;OC40D{`fF{g96smZK5no%J88(HaDTH3xBt`M9(8S
znEmNTFMLTAruwpRzTb2)aQHv9p%6U;zdKzzL{^8y)ty$Vd-T9yBl$a_$N&#q`Fh3g
zYC!&e{#9DB9uiH8`nea4uzEXi<2#}CcPx4C_h9n+`8ScqwLzvx57gTxZ>tU3+kYme
ze0s?AjjG`uGRL>Q6B~o2$*6CBx7kWh7vVK}M`Fu>zSL|RkM)1$TG#o=mIW$U`n$p}
zzOca0^EO?Z3f6UDR@HstLBTU)!osA(5*`nFTC8%(P%7c*XBp8#%j>MX`fFD3cpjm6
zay`!vwvn#}RH)(Qg3VP1J8Nv?A<5`1Ya>@V<>!ACCD2m0`jj<VgR|yaHA9aUv?6Uw
zdhW>K<PG~}nOSRKTunS@-B&7{b||`5Ar9TGwl9i*TjQb&5=^eCgL3thePs?mPKYlS
zIlr<75oD@wU#E)O&u<yLy~2Vn3)v)UtTmDj4U9FFD&xATRC$2FJTZM;ZjhVb8dO8W
zXUr!QQRQJM60cd^d~>IC#<6TGH1vl&x7tpEhrmL+uH9_2AJgpa4NO+>t)#Z(QsiJy
zSuxZ2yw)7JU6-bI*b>M2hm$*uq`@7(F(O)$nPy{m_D<tR3+NxQ=8Go8F;gHlae9o6
z_FN^*ccYC3#(Rg9dE<nEg4O`1vz)a2C3aVh20)y`y6N~DKiZeyU#N2BqTN61{O+R`
zFumP;t~{9sVh_vNyLNNaj@fK-=5{CWd&^T}=K^+QSJ#|m8{(#U%t=bU_BKbb7)9>3
zF%verWq00V<e{Cm4s56oHG{R5{QkkZRl?z|W8;}`+_drNz;h}WOd<T{o{iG<0`YS1
zjSTn8+_Vp`JLT=3n82mDw#rU=f{+#3X;?sT(?+Y0l<BM(gQG!mb~oJsF@ED{N5)q!
zTE*LHZaOn#oN*m;-SD!MXryOyYf9y!Wq+<@=ua}j?f5^*3_p9CC2t?2dtt*xvtVC*
z#M*BNAOFI&Z8G1Ro9~ZSuSs*!_SLn$|E6b%Dn7}2Cfi@lj2|NyJ_>Qs0*>7~FmllV
zhqoMDIMP1bd^!1->s~S!?Y2St;59k}H1{2xNj~?x`9k4@;>{ymG}6C;g_aO~jENgu
zF6aN#%qM<A`bR$(O?{*`XYIQlI9L=HSls?Kzl`1_{N^w>ZRfGiZJIuMNMBp=*{(xJ
z8_SF*-cWdGfAWe%v<G!@&`K-v`AvFSog+{F23}rT%?Ll|@4dPRI`xIwNsN)!lo-Fs
zzmS*a(sypxsd*jTaIB$*oM58)%-%j8Yt2XdL}m&dPt?Jg*&|^XW2X6KRx&L!@Y8rX
zIz4S<bg+^fw-U3Bl@_0P^+5DTep*6FoJ8A0D(pKH)3V#yXuHMIcR%S6ph;Qg9KG#F
zMSi1NMWH<h?JH?{`qFzrn$^bTIm`7taUf$pApHv`Z7To!j{a34+6Q61J>xVA3LP4g
zxRSVN4@y<l4qA%Pim8tiM58Eho)P<Awuy(Pzw_?6!8K7Dr<CW&4zu+<;k&n_?+h<Z
z$2l}bQeK=UF<(k-VWYs^rP!|~gO8?l>cW8^%@Q<=+Ba!;2FO_W8sg`BnV%LABzD9o
zMv8Wk+`D&o6B&=9bj)3v1ZdSMA9h4}$k2jI@>HEm$?$VDP41Z#q}5^TNdHY)n%Yb4
z{DRA5jNJMjz+)gx^N<<XNZgmB9U3ZQJ5fYN>DNF<`tu?*_wM&WpWe&U+6o*=+iS=;
zZ+7%*5W5(SC$O9GF{1+Qe*gdg|Njh^cRbZ^6vyqo_l#@1uIpZV-*a!0gc4CInUS3|
z6(tfylKd*8l8h1&nfX4-itJJ(lD%bQ>*xRH^}Nn`J<mDs&%50%-TvWM639w_OD|25
zKw~!?E6y4#q8xwYqJ9oCT;tsvxveXO#JmD$zlJNJ1IL}df3YKjMd-E4&N*qsd7IOf
ztyvlEIey@+MiCj5AGU~UR?DF1YtqK%5~^rQhean%Srh1P<{l-t%cACQz}?`DM<mhe
z<<}*eaN0vxcl;9$iAT;KfAK~Q?Xo{QU3x+bb|oJA9nvI+B;T!lZJQ(@_U^-93T3t7
zW*C!4c$++0Up`Of<RzlBiyQY@|7pX}(!s9+-3o}zc7%&dNCU}@+6$jv)q#=a#>u2!
zMWi~GME_<^139!u-A?AzgP`(=u)6O`XgsNgkiVaVG_(qriMskQkWnr7X{VoXSu{+$
zMncOGPaa2y7{Cwx@O#vJ6{IrwdY~YIga(;y8<J`aLB4y7_xxp5G@(^x`Sl_RiI%gL
zOp6#p?LcGT9XuXoH$ARz&><ng$i55HekMS#nQGiohDULF2})<~XrTD?T}6zQrr`W8
zf|pZP4R!5Td6#gQh>rO@2vAz3z!lMX$IfGFNc~V;)alOzWc}gDr~Ehoa|6$&VQ)1g
zUhJ-!vyMl<{=1u^#Y2UFz=YR6d(_Yu$cZnSQ9-P+(O#;Tsi1P7cUIvK9u3Pb*VmUQ
zp{oZzr_;Al;Z0qq{Z)TFsyY?=q1i(Lv3=j1qjJ(<>$Hu;`S+?w_G7fq2A3RC*v1DY
z5^11fsC@tOhzi=jRp6i&E`yG)1>eXwpn-{M$$-d|GGY?$W{DS-M3y?P6~;T~D`@jq
zpL|h5{YkzfH5($RxjND10S^s+^A3OS%uz%s+4N#VCW5F%_4L{6KdDeO&EOptpnxp9
zbai?=d6BT3F5gBP6^@DbGiwm!QKrTRd;lv4+Pi)#<nJLWoDnBn{4<6_@(O*p0&!+!
zSF2sC_YWZY-djh-Y+0oDHbU?!Jw4L>8NR6d0^r+bsZnj;E=0Q!;q33af&IQ+I>EOW
zKuK1j`g?>FYFhT5uf+ewPVMWEVr`+oCHFetAae;+@PwPzue*TJX$)r$u~R@hYK~({
zO$=Q#-L7*jpT+bDwa<IZO+nH4YTh1Q5!7ZlJh*p!67!DoCWJ?sz(Cp5(q1ni6yDG=
zdZAz(b7N2-t<)Pskl+2&#h3ufyqiBn*F1)aUppVd&SeZNiKWgLDf~$9NU6@;_82B?
zOj*}EYy@J`&Td7`yvR+*EBcY>1QuI5D&LV|2ot`-MTYL&Xz%z-jtdi$*qqm|3)@Qu
zfZ66LyV5w3uPotJ&cPWhr}&a?`+fs(F8JIU<;jlHUB;f{#pbcOS4FDk+4|s&PLb*w
zSrOX+kI`z`A52MapNa#kK6v*owaIz2phy8-Mbn5yOh);0?YyrZXeyd1zM?RrwiBlk
z#{HKur>Nv)rmwmX&s-xNzn=+xeB*{&yRd?7#1>t?M$-iqYOk)=Ek>j)a^Sf^`WhDQ
z5hH%MSO=~?N;j}rU_eR3eoHF@8(6iv%<MV54$$hu?=;_JKpE2Uj?E_9SQq2Xt)5J6
zm^DvW5!lUug5$@13y;&GZz7LfugGh|<)7K9Z3+y?7U#g5|B@c18m*(_Sy~XD`uGzs
zo&ntss{Nb5!HC>1+BSr%Yk~T#9f@MgfSMMEbG*Ztko|T3yty(>s8syDqWFjbC4#z5
zA{z@@5k1;jWuXZ<PH7Bdbd1R2{h7OkuUJuP$b;DJJ~I4ynEGZbni2i+`*--I4?DW<
zP2B1_M~0H>vxkg`Ovs$?<9Lb%C(0wQn0X44Ve_j`K<y$EN*&Mc>$BiSX~b1*xP$~Q
zcOOk~_b?;ZG0QzG0lbJe%qT741PPp?xkP&VSr9|b9onG*J|w8;nP1F70!xmXWE~bZ
zR5A38aadXaEf_sxJsPS3{9fd>vj^Ex0<M-r`<x(pLhUPRo*@E$`c;P-#(~;5I!0{A
zgwW;OnxcAtBE-uw32NGNq1BY1F^A5Jp!Y6g{^6VIpi=yZmc-A42K634HCGTr`9JEw
zEkzx)e_!Ldx5kTxf4exTFN&iM?cQy1D|N6?l6Bb2%8%Bw`dfbwOClSmi!=Z6sRMhK
zKQ3BT0Ns|m)y}pdjeeOwS&^I~fPG~2`xXyDbkEP~Vu++Hn$`_1H0~#WZ3n~sV--Tk
z=iv+0Y%3i4)s`4LJ52!DLrlL;sEMEeca<glJvpS@_;7cOggUfJ1nT`P6GgvI3imu3
zmq%B>m7ZwwQ3vBc*4MM$#ZhZBjq|UqBI@=n`PezA4ssF-NSh#ubSlFAt~D#6TH$PW
z=}01Y+BGdj2}q-ZbZfg~4ym9n(a>IB2Mw^(w=dcfmO*}gg_n(oRFTu2vcXOw3G!O3
zh>sr2qIX%!^nMrBP?AEck6jxHl4g02|9po-HT$}|j&rJ`&8wb&H{!`~rqS78<EI=d
za4U96yH7+%XXSfK12tjuSzEUcw*tz!z3F&?k%a1HJD>LjYk}g2S(Q$zBGREVm(R*0
zp($Z=!NG^xK=vKoo;$CE1UCcrC76<t+-7bo$Dj@bXS%;h$W}%!9n|rjLNanOyQn0-
zPY=TP{8x6bMFrK}T-BW4CZiwE{pD6Z>w{jHU(wp2DjLflwY;@U6A9ANM<Y%d0$;7|
z1=XK;#4jY3Wy+z6EF~W83gtG2-BX2fs-<e^&!vMOE#H$-ULng?MyUyKq^O(oc@t3b
zkT!#+4jI)F%otUVQb0d4e)z^X0dX3O8k`6wq0&cH?{b3y7+RX*D4Oc%Li)D$@H`QP
zauj@et4sxhyUPBLK^+}>hLZDA3FysbTZ^7LDoj5rDE`Z*j;e>>_or>BA}YgDwYdci
z79wq{IGz*G$73q@BNdgA?|M<>qgOO&X*X+FSye-7nfrd9)>c4$wS4@zSsHx(@pfKS
zR1K9TbA3Kc!y&~dOV_4(cLVDL-F0RrJi-w!v3Rvgp`w7qGnoRr;au)!fq#PvI?0<h
zus=W)8Fq=BG+LuUBiXlJ$442J;=|TfBLvVF_Bpqx1{y5Cl4^`!Rz%f;9}^Eyxe!+(
zA5YVD8psziC0-9!K=rtzqXy5J&?$%iZnzL=;J(mNcWpuriO9{EcAwb9_Q$oxxinM3
znWfoZ%ngU|j$b!EzWsyUF>EvTccVgFlT*~iIvG?t#zWjP{f({c-*SGq1mG~#c-DPT
z3MH{|mn1uX#I}TW3Y{VW2#Z_MI9UmFO8(cMY~eb}qrL}XDS`ma{yleJMvJ0rHK!(r
z<a;OuAO0N)+e-nWKfmgVq%dmN7ylZ6V~`?vjXUs~uPMAgy_&XXKmc`BaP{M(hbeD4
zZOIWyCcx*kJnPoUhpa6;G(EOQD2`rT?t4BOL&@~{-r)&ubkSV3*w1v7k}%FfQ(H9x
zdq?ZbF1I<5?2pW(#k(VvyAOZI*=iX<;A^=9N26F#ep1ZtDve=^qQ09|ZipcW%yvE8
z?qotQ@%7y)2YyplQ}=ygtug@Skz&$t00XLsyLvBI^cUr4&t*|9b^|Ejwf<ybM~B=7
z<g&MIeo)d{Or<A}=|jPjg6@>1P0TW8;@~K;o6@JakU05P5B#{S8qBNKu;fo3;TIR%
zDf`^R^_Tec0P{Zf^}xbkENk{+-JE{|rPqM;sVP_&S}huH(BE0YHrB20ny6P$?(@C<
zsoSFi^<r{$cHs+{m`->`aK(QVYsoqV7Bd}q?wR0B_i-NM(q^z0PJD%Fh%V@GzSV{!
zyT@Khrp;mkhbEL4E+H&y;;_23k~VnYWbj$q)7bBncSk;c{)EkIR%nQ(X@S+~dDSV?
zNo<@G*SQ|tfvx^xnEEEF1!?@{$_+bt;x1$JAWVG4#$8)>QIj>{75*Rbzbj+d{YrHy
z9ot?^U-G4vo|q=^o?Y`&NFBxUR!<+HFYd>Br5c8wrjcRvWAm3dmQm~^pC5N`+#t3s
zUb1{ji46B%te+v5j9^8<VGnP88p3=uE7(GcNI=0Cy?Kx^f~`w>SC$KmVtCU>XNsvL
zNS}F2XWuk}nP|N^>l`?ak)jFKgd7d%R%oAPQXR#LTZ{MRj!a^Aj1HaU?;^rmc{d$m
z)hL!*Dof_SGJ|E2&Cxm|5x&hjZ)rx1VJZ8j?DC}MvH7|so>oJ3FjTERZ+>|ki}e^4
zuuA-cakTZ!hFl;(#0!O=E}0Y9(4UsJ7jlbO@}fV}&vG?518MWR^ivpX=!HFn9ZT3`
zhRdy0dNr6l+5Jl^aT>GxuZutT`CqI=EOw&$03PIw1~SeaoyFYsm3xHJRxz=6<H_pJ
zRiSJ>q;rHYkJW97+kW}5j@2GbShd(xfzCwY__6(eFrzdtX*G#0jG}AuRQi|-nAiLq
z(vMxhyjuR9YRUPB9Y4Ikss>YrPy=tpzf+6Yvx@jz=MCx6l}g=S2fQ-GvuD}`oL$B~
z@>Uc*|G<Fg_3yB8r6_?&P!Y#(`4ucU>}U9+ASR?A?CC2jpad_%kNIxVtzn0XC%YUh
zSkOd-j??H}MeteW4(#XIz`E9PUD`Hm=w?d?u0co<Jf)+0BoA$2rHjx0PT$;_zZb@_
zd!H!)da`uybK5^mD``U{eT54}Fy)$Y>ngxns?nVWb9ywo8qnPKf*0kxnD~x#$-|qi
zV#mft2K02?=4ttUe)Rgu5BMA^5BT%vzU({0gsOQw)q^GkP`1vT+h3wQR8z*-*LSlZ
z)r{=MQw2iEtGDy%k6AhJc=V$Giy0d_A^T2O_L&H}=(Lr)`@I}Inepe7zsP|i9RIEu
zd=Nv~Y`9AMR5|!;o2z~PHy5f+HP1aFB8jXT+MP4w<=}4MtLUe<cz1Fs^FhvM(#Xrs
zN7M2@Iaqsr;!>9$KT`UT=G>tvi^9jGJeJDk;N;l8Cx=@F(1hsSPgmaJPz1pVw$|mq
zkGX!{Ggb(_zh>i`WG9dELk}chJ1Gx>uDfud0V0STdr&`7P!ZkYnV$-nkq0kMrS7gP
zVo1*;&qI1q3C%8x9Zh+q0HxODhpkE_knHmVH_PW$kZ^_dN$i;-JUyr&rYs|khWc0%
z-PzSpMjk;e;JXssJ9mk>zE}p~=UsnD>8qpE<;uX>BPzgggnB5~2!|e)Y-xI((?Ej4
zC8cu&Jgi!I9Kjdu@Pb$N-|-(Lbj7PufybEuKI|V(q#7yg`0(hhe}BnnCc1`SbeRYN
z&UF7gzbK+B<!ovHF=?UV`SHT*n<SX@KiPcjf->??RS6MW(?Tdkrn2LmCTLB0Z%0Y1
zB1eC-Cy5Q(=(^mVeT=!<fYhjg>+kXCaggc0m##V}^U@s8$u?a`XjfA1wI-kearffj
zG95H<;s%ejoB=GKyjgSusiSq5;;6FsI_L(6pg?Pq5m0b-9_(xyXftWZ{k5kK+U}pj
z8H$)fl8t=t8V3mlw0Gpz=V+tz_0zWJEda{h?szH&kdV`Hw$E3iv=E)QW~aq@D%fyk
zyLo4m&<jyMgBW^Ev{KHs&3%go*HwA{;fhEovS7Yb8BaoDj_mjJgLlJhNQGs^Z4#<+
z@_iSfL_kk$Gd&X2%;3YqL#a)zoxJtqUv=|KWpu^dz}_<742Yti_#B)xkjTr1GA<E$
z6zf&?DRtEh_-=B>Jy}slzh~5yM|Gspya5NHh-(j&RJdfsSP@WFT&rj1Cm~d6LA$^_
zZwBJRh7UEp@u(gC4)h%4KsDp_-A7-VL7i~KuVyC|G-WaS=H&DmcIRlU$z3xuSg^5Z
zKBldN8WrYZf1GZ@)UWh(Cp7Ga5YmQK6{7;m5Q=bUkD8@K2mXkRGTIGm<F@P*UvY@b
zYrA)vX`6B;X2``hn+6UBtaL`cGRP=o_lKheOi*Y2HOP&R2JQK54nYo*XjHm|7&goX
zB`N1Vy}L{WVU4z)j7y?u;DTpJ!7omTKgZC|G6A4c_a<h%PY|VZB#&7A;)bo|6n^>>
zJHD*-iMcb94{Z{qi<~5Qq3h?IDSrV4rlnXjL`ON0QV!1@UW^wc3#M=O7n(wzc<Jo2
zH8WD*XKCQS!V4jqd4rZ8OrVJOUVO4K9pd3|z7;XT3xtE;2C)HS$XMI5%00Y-T{U1f
z;(Eag3+?;lz1WRmAda0SkTQ#D_VY?mt$3mLF1hQVsS#BBZanqo8NgVAIe2rXdEi&E
z^1_{~hVYP2DM6;O2qUtL%nsk@fqWL;BE$L}|Go6X{q1BYg&6!FN3azSC?p>0Ob|5y
z#Xi~EMDAgVg8TM8+AbcznN;o>4AO`8mO7j5|7Ixr4U8SEd3oToU`gMj4n4?t=xZG#
zy-1PTa&V+q-~p1#Ev?-KdT`DDMC>i@70NMZTeqx}JRl-pRuh)33#BfbA7=8_DY$xi
z^SoLfSfMvcW0KMZuz9yPgmatnEZjtJ%AOZmFfN;C$vWU`8PwF3LI*id0&J()_+U{L
zjcbYOKrhYx*+m%!sMG4pu?yn^u2_w@yfkgto5W_)oy-U^nwCw*ocxgelHGw5zcas?
zIL~xeW~fhN`l<PbALP9@Do<8vfrc7~qu>P=s7SRAY4jI>cWUvc8|}5A_0zb9&?GAa
zMlA8CnhAp1hp9_v7d65DPV2miCp*x|vo1L42*K2=lafy!YQj0G%UN;L93av5$h-!G
z;qe<3_t;Dm&U`brF^=Q{7v0|J|GY%NtxzwdVTBC2_No%g8a!}VdT(^WOHoiRj}A&H
zBEw6!^)j<XUTD7Zz4<$bIMj5-Y&_fXXkI@jT<tg?JW4)R)^ke&zTUg+6GkP2$!=@%
z$|ye=aIu=5RFne6E9W?7MaZC1Yw)6CSpZbWd%325NrRvH1<j_vBzUUdbuL&$2vUuY
z`&CuSKu&v~499O0H2Dn#xmgOs>ye-M-d<Ul&0ck>?IA%Ug;0`}C<5=YJ{F0O;o#Hd
zs4E%+BpBFNe?oO$6xL+!eOaZK2mL1$-)D;?I6s`g^uS#lMh$;0c;OWwtekKxPK*pb
z2f{w@o{<1%g?_6JXGOSsHdrwH02!v@n9K2TQsCFI=gUT_5(q?dYY09j!!Mr|sG;qG
z*SG8rPY)`?{F#`2Q)^^!Z79eJW|0Nj&CQH@RaMX}JEfKuqzV2T7o_@^WC58{+zSKo
za42sNU+O<in01?4v6#X^eAOi)daVZWZ<HM+bF@I7ewm?fOb(WLl7`0n2rz5T;4<l>
z4VjA?m0IKS5G2E|&atcxvz_KrmKHjYWU~L5{e%LXD=(a5pCQ7T491oB6kQNm3p@6F
zOc5~4eRcws8gQh?MeD}_J!tjI5Sr*$0{iser!L`1peZ-@Nb<Zss8H(;ooG^q4Z#o1
zc1K7cUO-{4$Txs*N?9&7nJSQZOZ8%e8wrFbzvn((GK9Fi_vSI)s*uO)>1Miz1d^`N
z)H76L2u`kw7UIK$jzp=)%!UTAn^teXjx&MHhL%T55Ad)>zx$<&s0PI1HYQj)Ou_qs
z_^k0V9y;14ozwf(!DRXzrzbtYulRwvuc~TL{VP%YoFf73M+$89;sCzy)k|n1sX_9s
zjLPS?@lX`g&Md-4h3=;;d!pIYKtE1t&gqs4)VN+gT^B%w4&^yhhC)2}a#3tfo=}1f
z_ClSRYAU23R^e+<!$ZVOs@$lg0*HOTgqf^Rp)-K^dMH#C=40B9*?q-9`Vi&RWl<VD
zYqa=L_Cf_J@=4RI+A_fA$U}cxmIgKDNyBgRmBIPp<W};$1gtYPguN7`fs3mR-TKbI
zak>=S6t*G)M4i`~k&9HgFFM`Jb3qXp0!6sr9TkLV#mU@^4^+@vqH>4tR)B2xwd3<R
zKKK{c=G=dS3aoVJLLacnLrx^|0Qn^ca9?4{WizA#zwBWV+0QsQ(a3+wZj>2ttYX=<
zV*qgkjqyGAWnr?|*F12Z9;{#X@Abb6U>zuE-dDQ|_GOrO@SNYG1RQQnVATR(iVk|}
zcUcN7XJn=pPOnmO7_=9z=1{=Rq&#oJN&>EQut<g^FHxfWLu@<8O(9=H&p!slAPwCh
zcz^jrX*qFWR7%wp<Xl_UiAO}hJi||M@5UU(V@v4XgpUa<-P4G9@IVOYqOB4>_sviQ
zJ{4gO1v?y}3E70L3BclutXtQ(W+*SO#{W=TF@nDG`%?Wk_`&$8S+}6=4CV14m-`IO
z2zFmezQ(4_2c;5)8={wHDW9#YSZ5OrK}0xq;Wa-GxOePj3{;<|I4ZKgIzDCq{5xp*
zkDd!eUp2g9_W46$W4-2m01Tk&mw(s^Z4RJ~cJ94Cyg<oko@f7@rVo1>=gkjhu|cAa
z-FeBxCCX$8i+$@qJ&-f&iOsTOg@tROlT|){DLT8}Kejrh2Unt$+MejMK&n9IgDme=
z%A#>1qfv)0l=1HGPqSr)*tkRSvbWYL28>=Uai9yy-A$+UQ<y;RT;&r|!zLv<%4XEC
zSO>g<Zr<20zyu-RGrf;0{-cC#^syNcbYO7Mzni|85&Wyvb`^He!HjiOTx^au{Iy94
z{Be~L5*_bi_i+s1UHXL|uc{5(b6RbM{)`YU8xm4}gAq!v{^XI#*MjE1)dS_%8NshT
z`0UIY6YPHZ_DqPL7L?okafmEqgyjE@OWNOLfp}dVGow09sCzLzv&qK<W)hEGUDVhh
zaAen++m4!0eMz+5JC+Ib<%CZ*Pq9PFZ->0dSuzNH<}vnAV20z#6KCU^IN=6|Q1pRV
zGT`3(I{fNq1|H9#v)`MzA)&SB-7YmU%!z%TlBr;U%GNdznCAs6)A0wS4idx%55yF|
zV};;V`;@U={Gf61#!&ke62ztz2#0=U0|l@0_K{-(&?hL~<U}NaS-lhILs1TBzA5(p
z&l^EtQ{s0$|5*d<{v08l4daBB;pumbvcgalTv9x`PXm7GTsvRH$qldjpR$X-5&<iD
z?KgVeMEE_G_D-vY2ZSB8{>j*jL3(j$Oj|G!B0ofVMI7XVuJ7!L+fou>dx9zMAdU$C
zjE^?uIq<_vCDQ>vRw<BA3lD!fqz*b)^3PC01b}dgc3@m+7hKJHAT?j94#yo!);(Sd
zf|-_|qNThn^m(LPe8^MZ3D8;*)O8`y^e#_}wZXx+T~-bYW$NJgp2#}lAp*6E;`_*V
z<lr=4PH5TA{p8ja6T>M{Af7tv*ziLhOkcPgydn{y#y3&rPn<aXeK0mbHC6;mj_;gR
z&xw%xfwRTKS`x0r8`1rEr38nSCP1C40eg(NLqk=iVNKNj;E1vcu>9Ckz*tBy<=bL;
z9VY|-PO`eE=BdJO%8j=#ZjylUBmV66qn&;7)bRGAwi<NFX{5x<k>OFdMlPiQ2d{-Q
zH@qqcu(HYRoY+SOTBr@NtaZodif<q4(<VaeOyKRH9e*jyd2T(kEDzK-2ln24yz@?c
zrC%HhwZL9$38mo_L5orO&1N78M4oFA(pt1Z;-=nQzO@p3r%R7h-|?b~*FDphICP<D
z(86E-oHA744*QP!kfB|)Wc{tD9*ooZg~}wVfLU{5C`Sny+&_7n9{-^afvXK3bm^)v
z_aaERu4|{hpoiKio`z6yiDM=9-p>A4SUN3LLx%l5OySQqjX+&ME?CP`4Kf2?h$LSm
z1O0-(Qd6=Cl-;W&h4B->vR3|1?+OY2oOU)}Q=vda)0j}mT>?-A+ow$^Bp|6iY)rKS
zkhw{b#`O?j>Z?kgVkQx;cAF$OFi;^#&H5_uBmo#apL(41C%}NLdP+zt6-wSHdlz5?
zFb>*i(w<g@s)9&MHYpk~TNIs3JxYLu_yxW9y2>Co=4PrFMgwavuE>&dHLx%(!tL`^
z03XMLQ)V?Za7v{mF%09O`unu7V*(BiO9XEVj?kboZ*9!CUljthXT7Lt((qs<yPkE5
z2Ku@Bg;sA=091XWxxK{TjIirg^;a6)E5sk1cU6Yi(-T`lse<q|wmke@4h{GtoMJdO
z72$9|AzjQf9uRL-$QkycLG$&wGX~KLfPx!N`N*=uGM}dO@f~jBY6Is}IORcy)Ri7t
zK?j!=p1IRiQi0`h-0z5;`qX;6>q6T9Qs`a9MQk0Ykhy))(^N_p&KRnVTydGE9KXQ&
zZT~dD?IDU2hqp8geWrWRllYU;KK7^DH5{N|@Ed8UR03=|c;9_1uc7>1;c^e<2jH1m
zI=zc1wv!X7XQlYdu|wly54kKT@F&B#VYF2kVje^h_Y|~a->jdP@&uWJ>8>5V@AP@&
z<DPvq?QhuaR4>aDsV0zK<`kdxkRRfSwOIJwUhMGFmBBA9#_;sJ$$)kgFH~P$O1yjO
z2R8YlihrKT7>qVLl!;ngFqk^)`g(6KCZ2KY>JZfk=w3`j{L*6wS`4>l*voGiPDKe<
z9BBwyyE`AQ#j`+pSa{s)KV4YV^~S>%Ee7yE00030{|uLTJk)&<$KAV*a!2lK*~Qvj
zR<8JsE0mHWMTrg+B_z6tN-FoALPDuTg+z|uS0v=oLC$hTBILg1>EHQd<~8%0na}49
zds1J7X>kCb=!!5$cMDE-^R^C<)PvWv(HG?9*nlu*plJHK4mViW=w>^k3-Mhun6nKF
zIH|4v=U85h*N;h_sCcgfrD20Y$Ai|f^TXzMDjIKKV)93EcajcRt{eM4#aA$7+nLwW
zSC07|zq6}3VjB=l)E^u^y@V;llK9PA4cPUCQ0uBmZJ4e5^KmI~0sHS*-O*mbFIe``
z&-T2|+Q6s4tMjCF4x2raUC-0qfmwC`v5RhGLW`bwlKZ7uOrm9GC@cLtrqbGfLdK8@
z*W8{M{PCE<+}c#jYzhakSjOr2j1nz?orZT?W2Z3zPyd9)*dgroRczM;O$$Q5T+cZ%
zHH8gdc_!l#G=goC%rcoR)C59A%jx=SQ`ppl10|17j$z&xhKP3<no#^vXsz0O>fbDs
zT4PU5U^YUl-|Am8KsK_L^Q-0*cKy$zQVY{5Oi)WN;<PaXR4&!HYFbWVdy)ma9QvlQ
z?g$&J%Pn*$x+fH#`7i$*%09@5nZ?Q`ss@J-)8X3Y)A!H)n8My^cYOG6Kac%<Ea!j?
z)8NB_OvfybX{_c|)@T}Y5#v`K3p5p`fh=oSS`^<5R&k+yc7(Z%?N|=J)MB9lfA4&`
zs`7OPQzsk9CpfKQL@A{!->*`E=eGEnPBe?vTr3-YnYWG&ABaDEu1+0<D#?3-Kh0sk
z#C-N25@G?j6tTe^K6QBDNY^~Uxq#(=%Ng44%?h%IEofl})nG*>dduM>i&zkoCI0RJ
z8x+SKi)6f11rz$0&nZ8bu-dvB%g^UIK!i8<^2jDtXw9X_R;R9DfA!d&gfO|F!cq0$
zPd^I$vDeI*4_d>5W1UkX#ED?)QRN=~oeV<W$@Lw#|6*kgkB>`Jc)$bi@YAv-14(Ks
z&CrVl?rZGPc<aRn#1ndUm;O_M-7DqJ70*~<?4D`YuEEV9nbIZ1ZLb33$pX>-{OoYe
zv^vJWNdTmp1Jz#)Dnkyj!hxC00a>B%S~<;x;KA<uZT`W^Fj&)7x5bzXEGSVT@A`$I
z>ZfSjZ6#%RtIDr<ZVM6I`vTodb40;GtU}Gdiv(|2|GbzK=K(^v$i_mf7|7Us)tk;B
z!H;&5#W8C>*fXIX_3ZIh;E~;`L<t~)n@WGjc*$ny?tqFvQ<4z(<5E-3VG@*VT-)cB
zF96N{0=$LZGQek;7;?;w1Q{p0y^JM=Ab4Z5I*OKqhaE6Jdzl2Yk1PpV&xGOU*S(o~
ztO_v8T$R66MuM}pxlJeBM8UnGX`wex5gdARk2Z=aL(J=D-4Q)8IP1{CTC|-632D>M
z+_RK{vvRw?kN#GuyG3yAV^@Kf7E8m42UMVfebw6bm?RvCzZ-FGhzu{ZqiptCkRgK>
zDro#l8Z36EHE!xr1^Mi{Q~CiEP}JQ*<r0^JyI0H4pBPk!z0W0@Jx5eQDqvEAd{Q3#
zRnHz}nbm-Lmb2NSPyX$d)5-bhW(8PtH~+CGj1Ip7KQU=F8emKg8>+*U;CxTqsnswB
zT=hKg-sT=1cz9iRQE(F6^0;(f@2n;)(s}rp1Wnl8!~ML-Tm=Rl&fnUyOA8*)^E(<n
z)Pg4(!sd<5WPn3oEY$yMf&79dzg~bg6z>prq*<#%li*6DXebk?WLI8(UmZxCu6f7v
zMh$W=F5}vDOc+?^dZ-bv2cDjq_a%9$@byel`lo6p+)a0~BQ+bqz4lryRV@wZB{f@l
zdobaZ>|WFRf<|DwXeaTKL<4^IvCti_wBQPf;D12{fYIkLQQ1y|gd6$SOP^{&PLXT>
zBOPPd^RPjEQJM}ViK)kl)(luYq_Vq0!vxMc&Jl5CI!v+cGudxNg9l!QvkPpd;C$f#
zM>IPf@?*}`j^9>;*|<*eo6k&PN`8_z-~<h-y~OuO-%x>le=N#9l+EBZf3cbSISt@a
zQuz?%sR%ohJhYpA%-{v-+ERu#6>LvfU(qU&fpa;5KWPzWVC2Mo=TEU3umz8oiW0=&
z=7@pNr?X}dvXTADcAWxhqs{UqtO8)YF6%w2Zw90*Y;_-G$>6bL?IJyy9b(f~x&HfM
z3evM$e5WYN(2^;iMQNMHwvnFAvjv*Mo82jaUMfn!Qe-r+Ja7t|wu#w(cgY0omUb>j
zkQ5*`PR{FE);PYh_oUb>KNE<zlvXLE%E4IG_2P=8Wt{gX;p*O>#*h^i`8qCE3i|(w
z^>GTYqVrZ9Z3fQ9Fgep$lQb(1lyc{5SyT?xASf@#_ymxm_48mstSH?1JTtGqp9{UU
zm`~iW0{ENQ)--uS2((i^4qm7tAb#Zx+w<`lv`MGl4q@kq;JcKM(~(5<%PTE$Ak7Hu
z)bFd7mT<$VJiT!LUqqxjy~-b1U<gS7OF*>0SrQXjgB&0jGx2e8hKT4>xU5<8b{G|u
z@$QLW0lD?t+AQ@%bd;NNJ7(Sh+_JayT-IO4F1wh0ln5fC-vv`IYsm(%yykstjyZ$f
z;=D$Q5+kDX!A2Sy?)p$<&YiludjxYfsBE7vAt0Gs0Ui=h^<bP&xKYZa3%j!;c4W?p
zfWTQGs((QjERQP?{TfQJ%LaX>FE<mA3)N_Bbf+$a{AZ%E6w!z~d-=y4?BYTqe5+fE
zAL@YjWxQ)@_#3XAm31nunhT93glaT%>A)&+d12|zFs`_E*l?hR3$ceDoa{Kg4fHoJ
z;v!Dt`0SnFZ}r1mNafjG)7#zJ0OnUJ6||>uHG^_6P$!_sy0U^t*4pqzsWz>IV-BY(
z=-?=YfO=0i75}Yeg4}Kmp{IEZcp=x%%w%OEl3cfs^93f<CKTlcQI>Jid&-6OZ$u;?
zc2wnOjTYpVUY~fLw2DKle{tFyZsc+MmyLs^7VMxJkR)c;@!C8|HO?9yWY4R5_D!oM
z#CWFh4=b}E&9`%_ho^Z_i%DCU!f{QImGe24?#PN%f-@u}c5gy8VH$=HmKk7~ew0!e
z#fJJEh4=J*-HeD|dcHU&F(8@`)%P{Cqe(gUvyD3h5QFT}bcV@*ae6`L2MJDecau($
znt>pyB?X%)chkXHEJbtt0v9^feD=l;D<O1H;8k>OI309Tl3!;}5RhwuyrQSSFdCXy
z<jmHg!_}(L4!FRLPT{)bxz{3SZ?Hn~;eHxCX4~txNsbqtbD$4+N^U`-kMi_-U1{)w
z=gB9_VLoK4=Cf##DTa3PwK}d&YQT`bnzu&tW^_Q#m?&Yg6}^k+s#T8FfIOYy`DJeb
zbU&y6gac6$g``tt1xz%+>*$RugW-Zmm)CIn&KW6``oc-AfLjByE4|WOUJ0R}HdUR1
ztg=Y2y?F(GQQ=jRMbxiVVbl~nOf9-Aht8+Id2+O$3J+u=x<;HuQIqF?ci+61N0@YZ
zKifPN{=8s|yxY13z4lQwaw90BLPdY&GZYQTa?K6p_7q1^NtR(F2b7Rx_O2Y;FbxPY
zt&p4%l|Z9$FaBG6LqaU|@{##0G++{wU*`8qqAZDsUVk+e<Qm8`^gf>kYs|U5g!j^@
z?XOFiMIIS>H8xMho6=$D5%Fh~23geZ5FBExs)|Twhd<_ipaWx5bs2414*goO#JdXB
z(CXBqQEOiYT>qON8OW`G9BeD&c{QkLRiiT_R7(?7k7^4~sw$#rN-FQR`x>b8snq)q
zTeQG<-mi4XP6=h!eC`xlqM>Kn5;ek-OqlW)O!^i~LSs1}`#n<V$OU_J-WIgs=5f`H
zOL@vjp}IU>Nt}V!3lcoc!?!`-+PmzVO)BW>{>6gb7a6Dyg1yy8bRcA(J^xHU8U4r>
zJwE)3ff^RB|GsiW4}K92xJ><^pbj@epnDwy83pA=v`pwj3Q_o`ezPiS5WVw!Uls%L
zFDmY=ytW<c8xQ{4m!O6U-I<Yp%o#`_$h=Z#s}U^kI##=;p^o-3j+K`c)6pm90fF&s
z3>H`(L?qu+M~{_qiSu7+sM>UIbkJ>p%2>7T=U>#((DRKOi+xnI#g6c%g<%ZAqcL(9
zKB*%Ui=>$^iE8L}!czzHx5gmw!g5MHQ61SP*;ur2P>^QW8~c|!CJ;B+88;%Kjy|4s
z^?YEZjQkW9q^x62Aozq;(m5|Rq;R?MXWT_awAMlSJMi8FL_LyXj^0p3UrQ*p-p}Qb
zqpQA1>wpQ|+t`1dc#eYTbK*gMtCFaYuVH1R*92Vd$xacB$mqmv0iWE-Ehw(fs*K~U
z3D|E>|5`h$jO0K1nvv~=P}O!b{l=JobvcDAzlV~LdbiKk&;UN<?r`G*&FY{2UJ6;Q
z=2b%LTfNM09N<Jezjh`v=Z&G7?vkvVpn&?5-bnc6{ly#Nk60$B7=!nNGBG1b`F}c5
zA6-y7hd&wJDe-`A47&^ZGJ~9Ck=vVkv~gw>&&xNORj3DW5%>AUlPZN0Y&0+IAL+s|
z&9Petod7iKmmFU%Y(*Svy9k;Nm3R}J6BO*k;8N+8ZQp{$P)k(xnc|*uEaY2=^vGW$
z;E3y9RH2I^Vsi?&E9E2BZ#VXZn_>j*%!mi~_=Qn*qkg+R-&d?t*?+NMzabQS{ap21
zN)WByQk&Qn-+{e+6Z<kQayy9RbyWmC-;C;g{aBn(2X>YtcVo*t12B3#KT{gai<}C3
z=J(6CV>SD3rh9T2z;W`AjHN6h(hRDMHj`<^y7>q$SFH3Q+objTTM;fq4(xwA!Dzwq
zKS?A&k{$>ML*Aw~c0^aXGjpY=4pTK>+!ivV3wOt+%dd5@qW$mZ0yB=6VC+U7IJ>?s
zEG^AumddgqNV$2+r7Q%`A-&ptH%SM04z(YSF<Hk~=D(Yj63X#w*%fQNbKBs!;FpWU
zq7^(_fM#~WssSH-jC~*-*aoW!=XzPMFX61~>9i5yFL<)@@zgS;4R<&r!!4gL;7&J9
z{=DVt#9y-H2B%TAp?P1Su!q__-d`#|(z^T|4}ZU{^FijnyB_l3&!3vbH;WyVSy~vt
zopccQb73azIdk%`*3t~lcjn%Q=d(k&sEr>zJ4)-H|0*mVHkiSU@B8geSs203+{|lp
z<<^3uF|G&BluqMb+`^%|Iez2V+V9Mdw>07Teed&z$EI=h!(-^M!X$pb-cIV<CQY#Y
zaQa7p(KH?!FWz!1e+uUq7fSX|X28b>)2yRr)A+^jE8+zXGq`xc&c&;84EP<vnj#c1
zje9rR)jJ8y;m4nkv~LvB;c}H#1y|EFeq!?%YVzPbekyVAwO*jZnR4F{AM+XfMSjzv
z#~&AQBOPu}jb}8Vw!GPOWq1a68C)5Y|F(=rb*Cim{H_5~Vn2?|J(<N%8ecW;=3B$X
zcON*yFZ$01bB23xC(hw4gU5%LJ^tdGS{(AO+Ed~2K%IKvgLyoMUjLHiJPWdVb=;@;
zjyk+II9B4_zJOZ`{x%+MXGJb<HYX~E)S!99`EY{P5`H?~P20tu9lZ}ZU5<3rAjhF+
z7k9-n-k|HQTs_5s_+C9$Sc+GLAAJgK9%okZoI^^a!XhrT??-%k-Yf<B5;Nz@?bq>>
znV~Bp8AOy+?j1yNp@3-X_rxgg4ZLChmp@7+Jm~&zcd@A!G8lW27-zq;pj8fmlEZ6!
zh)l*kZ(ETeT6l#>R%Anj=T7a37x_{5H4eom|9Erz%v)3MTkI&YM=gGKs~}R%j1eRq
zQh|W4>~&nioQRM0^U_d?5VA{te1vO38G_!OzE7;>LVv3YGFG;Upk6H=!{~Hn_}-W{
z@HU-@im&>6XsnB(v<sD$2DZwe&VLX!=I|hISJ)dpE{3@K7aayfm0^F+g`0nR_|QV%
zO1BD80zK^ruFV@KL1<lqy`dF9a+Os{ShbTvjLS*B@|`5OkP-KEc2NMuT(@}I`cVeS
z`En7RdPoo+uA3?CC4@*lOER%Y4!OCf{x`5p0;jZgchhxY#MoP&>%>$*iV>wPBRa~!
zTfoq`SS*S-tC~dK)heR+hO!8wyULKkd)%fVMhvm#`bib|kWgap^Do}YDlkO$g^;+d
zNYdixb3vvG%E`UHm_Mij7q^cuNW76mzSbS&7C{Pnn6)=x>?;`z%(4Wz`DD=2Epbs(
z4mHGcsQT^`f+`FQ{m`E=kwccRUmlp_q#}n#%c##+)PVEp`$NP;dE_{HfGo#PLq0VB
zN|zl}m@ukmdp@UtCR@?R{M&S7H1^4_?<fuG@*hgsxhtWRAE70Q;SA*emuJ_{2|6%E
zEaj;KB*YigJ~DGg6U_x0er|HsghEBfA6t*9prS<XodcK_aud`Fc)O$pOU3V`yoSi=
zzcy|T=`k&Ii+OWRzy9Ap$v*S$>mgONY4~NpjiXGoa=5AeZM6=JJY`Y7{Z<Xh7qQ+R
zOJ|};3qJkx-Fooe^FX~j4;5{s4OmLWFcIN*ut3SC?O@)$`JoqC107eAYurU;BKN^j
zDG4hh5FAW;cv66d63#9J`km84vK(ACTMYq(4DP?{E2W{G`#(s>cxWQ=wKR2`9mZg-
z&~<i+NJkTL&6fkX7)XK{VLzsA0uHfh?DS1^q{q)%TvVfh_#8Xj(*AL!%KM==F3mJl
zrl^{`d6ODS^m)+4^3W7csM%E!$TTEd3@K4!|9r~ynTz4#X7IF&!5+%cK!)atS%G|t
zsKsNXq2!<$2*gKNBu}ZMc<ENYhpIBj^O|AWHeWL+@YQwX^HoF63LCzw`CCxPogfQ)
zXEQiFxx?mZB?Z~3h0wM<=0_{mCf+nTGpKM0<RK5KAb|zd$n|J;)YJ8X_PfCpLYi2f
zFy~09%tCIbn)3|qS*mLP>7Xgp@P$9lSyn{8zbSG`(l7DejT1G``b@yGDKYo!hCB*f
zYPHpD8O6j(iCrGfCSb)?=6_f~4ryG9@*{p*#2%%Kp~g?fkgcf7UFR-^ls^@AREe@c
z7k^(*$iI22ky2mic8eqH%1>U;rP;xT_u&sxHNdQXS;*!aqUcjpf`qv)C!B9p%n#NB
zc(DIKoT85qvc2#*BrS;xf(3)!NoO(m>(=%%n8J^EUTP@*I7EP=@?Oi%U?b4xyK+f(
zjvEcpor4=*5nw>t$k-#%5bSKuI_}crMAVksD|@R6z(p%{eptL6qMKKHOJ-RR<7lLl
zP8<PD`o~=5dJP~#sXwqpcLkr={%6V;2=HS>J3wE^04nRZ^fDc1@&6Lud4A~Q0!?CT
zo`sD*G!-(AlpPwwS3lUEi@wAKw|*)tr~lJyt$pQv)XH9bQ~sDWzYG`jhvolG8_<QR
z@VQQ5Mm;`y#h}aVBPTeHNr@L~>%z?pck7D-<yg@E>C-yNoN!21?Y?uI4ybe8&@9kz
z$5O4%6!`>jg439*me%w(*jk*sJ4|N~J9#Un$jX-!_6M?0eA~Yb?Ef}S5}y3RUQ=5V
zts*(Wz9*bxQ=K-vIq+FnD`pat!a}oc-gCmA1t;qWZEet8E(pnBnZb5Ps(ODSae>d?
z=VemQn84=v{DgY+99Dc${=#}57aVdpB>q%|2{M6m#xsixSlg8`)sZ~}*i}dt5__x#
z>DZAshP#%rXuo}ZsggwS&O3c(A5{zJVH$f<;#M&U-@;f5KR4V8V|(rPS`!*1n?_nc
ztz$FAZB^~6Jn+GPzqrv3O^~dyj+EqKf!X(Kz64)hD0vwAaIK30U+-Ru1_mpfGq(8b
z+|LJ7Uc5c8{2AaWRCFi&2pfoGMm7`#Z-%q0X6IrA7;v}P#?B{`9T?XF{P{@&K>S>u
z__~-5nlpE@Tz_-GJwdPc1SLTTyWXSjdx#EP37tP5@8W`dJljCfPzVY<pR{rD(jl9%
zCKC0Q0M@7YF5L4IhP8Z`;@4MbU>g(cXlBn1FTOr>q1TGQ&Cj)g?-w*6&H)s7S$P4-
z8m~@kZGoZ<u|@mK8sI_u?jre-59}-V>|CoAgT60g36BLez_r&?vj}a5beGzv*8;af
zh|Lg-br}^de+!7baY_J6$e%u^SxbT+Z)rQhp9)oS@AQkJ1tFqS`fY)QG-My@Jw63g
z*lEMF#qXUEOzwI%`TK+{a9_)aJ*7egmKMcOD^U?3>Re5Y?v#V^KcUiwWGa-t*Ia!Z
zA_|1mCVyQ41z=G+T7322|Ch5nMQ&#k1Mb$lSE&aTp`*LvNKH5u+%!{sd$Yx1BO}fG
zewh-id(0U2k5b`Oe05HUs|0+L-Zdqvq6{hNmK=&f8gQ*8e2i013W65rQ;c&};8TRE
zrlckfbkdh@Ytm%ERTy(`Ql|jdKx<_^KOOE0ZBe~0CkKOiPQ{Xys&Fai@2X-p9WMOw
zkJ!6S9th3Ue7dzd6uOX#{OuT^qcARfdA|a55$uIMzfwWw{aR0@f+l3%8eHuPQ-q1}
z$^f@LG{~{}y__JT1@p$MyU!OX0Ws*Y)Zcw{_;&JeNF$jE)n2(`w}wejwu$Xs#S|S(
zdykZ>xoQI;#&)ay78Q7bw(N2H$G3-<95^VY+d$wE+cyo249j_MK41Tj0eQ01A=g!P
z!IZ!7OtKRNCZ8?9XBJHmXYhv!zt)56*2g=|5353|?>)Onc1;)xEZ%(A!2oRR&wspb
zt_I3~_{i8N21MM;diQmCJB(v;RY8P*eHQgM`W|Dzz7MO%-rX~TBQ&fuHC-KMJx)F_
ztfYfR`gLvzF#u`xCI{wUb@;TPR+?2#gLF63O(tIeNaK0l%gR)s=oBuACR5>U#8ImK
z1!H(wZmQ!cOoifGy5z@_YA~^zXvR-40Yg@40rj`)U~EHSB_1O~b@pb_z#tPil>a5l
zmZ=V!sTcQgUME4@J>wej1{2^@A!uozRs*vg2T%FjQGocW83&^!6Y#n3%(dHJ6|UZ(
zkiPiILNSdo*hVykLG8S=XeR|SYGTY73tNG|EaEG3%>=S_u9yz}RROlyh5hOMA`rbf
z(6#QX39#s`i07yN+oy_{j!G*5uzkDO6qRNI@fq$rC1pt9m`2Gv6iS3P65GO;T_)fb
zn{uGzt|BZ%&ZvA!V1*2h*=c;r7z#F8jB7*{U_!rgoEE)^?R5CFE*E7C3R=E(70Gfy
zedzRZgEo#)Ekt}k{$E@(5eXQ}fctij(*cLNF`=BFeQiYmZ^Rpkm(NMUc~gp#yTeoL
zvk%m<ngRsqwl+QdC=S(%vm;^=A8=mVGmQ6-FmQhm;pyqH1uR3Kys9bh!jJ9xWM$rD
z1pZ1Q-`{bG07saj^`(k_{P>39E`b?C;Cr@>UH6wDR9+8=6ZkQRcbxnwqbzF(TS(@3
z&on>md2wjPwcrQd8*6t`)NVTr?6J|N`0_!L<n-`&&mXuyk-8=oX#nldBeTht+>nq2
z*O%-E@oSVW9`h!BsMo#qB<dU&Bv7T@2J-rGD?06}KfgYl3a>5OG0P5|ok!V?WxwP4
zYget#IqQML_S-qF6|CTV+vUHQL!EeufyDu#d|k*W=MkSx*uWko8$7l#YQ-hHUf$$k
z)dj~u6`N`GHEbv;A!D}Z1D?+>y(n`?2jZ(;$Vc>-v5Up&lT*SqxO&y%J>kl2;7H7y
z4tlYG4O#@*J=p#PFBvU(`a*6S@Lic86T|1QQx*Fw1rI*Jx-INwYj0_T#@VX@_X=k)
z%?m{*Bh#xeiOG!ysYNDS5q>FkRcRXgc2xX@zhEQA*<eXbI>7|L$(s*Ls{UXR6<X%(
z@t?8NJPn@gy;{(40uN9qn828>T4CR>wPWrLSt?fh|8b>m>dR`LaqQStr>cvdJs8rz
z_F+exCS3exb?e%PF>Lf}($u7UKjs-uE9rO8go*!BTnC3ou@rCmBfa=REcc8=<9a6p
zhC7uHKDQmk91r?z8{`_s?jI3jMz}HHouc7KUg9XWl}Y`Wb#nwe-)%!X@tY3ndoQK#
zWgo>_{l2=#N{wM2Z7jpl7wCZPq3JFgjbgv{Tm6u29LGNM(cMOP=wKM);~MvR6bq|<
z(l4I;2b-uel>A^s`{&=1buzuiFvn1ZsSl>pnCKO$w1v|eu-8De>yG1ZtRQPMKVRDn
zcK`A#8G{@u>{{{O+;MRnYb3qOG`cc}wXGAjM)az~+wX=q!#gIhsO@~2aaIdh^reSv
zEwbvMl+hELdHN5Q<W5WT*IB}P#@Ph8J=I|K<8EpH`%_rWg1=$*?iDO*U52Pzq6%3j
z-$zb9n#T6r&s}83uVI&lL-!v2$0H&Z0uM)9W-wa?W?&9s10z|6Xy0+8K;B=;4X>?p
z*!X$NIj<fTST6f<VGbulLZMMi@6CBEmEP)k$BqpOhEfeONn|*exh+;qZV~gZ;1u~h
z&JH`|pBR3KR{@TLuBRLZm$0KIqqZFdoY1S|pZ}Ia1=N_!S4~@2u*cJ^7I+!~T#Hms
z^@k|KJLAw?;^G?ibVh7=u7n%7h~^4uEXq(eaz)Y9ZUd_-8WT0<-~+2~hZjO_lVE52
zxCqZY3;YiN0RR6Cmv=bTe-y{b3fX(_%XMAuwfFZJp(rDxB3r{qvLab2BMK>_B#~rf
z{GwF)ev}Yp&&n*KWP~Kj&!6W!=Q-z}_w#<ePj^b$mG`OaaEzDR&Rk3mQr7fhxIK5l
z&xK(_o-$5=UZ?+h8e~C`Fz4pDLI+R#=F3GX+`yGN+N|Os3tv1U!*nYcAmP=@<p&>m
zfRflc_lQ>(cGJ5p1f(;;5wlVfO*J2=pNseXJRk!;OL3cXMa<CIcBUo0S^)lCKJHsr
zA_D=J134GJvBE}oR9?@75SZls!~>IMKna_9@b45m)SOX$K{XYH)Q$N^-LW#TeI$Y~
zo5=}xu*!+GQE{*_yy_^LE&~-!V*GcxxZw~>GU?K=B&-Qn9HTs!0ljt7#k~J`Kzl#E
z)0CSuNM6H#XEVyeVGC}5gY$e)bdxKtjX@ToZfQ2(373WYhuGs<eFfm{*+U0S+U4Ni
zU_P@uuN>$eV-X@J2*K#7<*vXAc__<M?dkk12O>t5>vL@)kp0}AtWZV-^BzKG%?|>U
zh6Z)K(GdrWdwlVCa1wm~l^&R)s{j^PzqXkANy6nb_dRE4$lzRXY{avV2($cRM|wM@
zVBpuS4V;w%$u=)T1Di;o*;TNAa<2^hZXa}?lBU9O7jgDjHf7L#7nS|+y(~DscsOrH
zRfX)J%(ZMc3W#k7tuuNOpm#{1DVVGVZ7YpwUw=^HNdHuX!C!e8dL(GZxknxT)0tDf
zSgQs#msbkfvx)HM5VIf=sYCae-b7Kk25=6~W?CzdKvqC?vqet>oW`^Ch5NOjE7>fy
zs7MJcK79zBJ);5pe&F&2(z?*h`U)5OONNq1^B!Y%8c@Z!>=~4-4~MS!1xw4TKx561
zb1OsYU>lT97xv2#Xj^#&Hkm0<{nJ*0u&D+d6IyrZ%K*Ng*`z=2Oabqe(2%>0sxXoi
zR%-Fa2t*XVpon-1wEq;mkSb3FtAcNZ&P~S9-t3Zb;XDQQg-@hTUsDE0zlM~J>n2bX
zI3UqsN&!Zrf3fr@6oLNH0NptaQy9KK-6Qx?1+H(IUVBGR0C!-?yjN%n4O&dCr}LB{
zyE24AxFrQ%Lha``hfU!yuR`8c1v2R0dP_N6Eer*kGd<HEcjoE)m*YZ7pzD%b@%%M6
zq$-y_75L8-^jldTP}7Ov8>yyXaF7Yy)?W*q@Y(5`%;_p5$;0>gH_a1sYuI-`MTdi%
zCJ=chw=v9L4$h#o*ETw}Sm=dgD?ArWprSc(&&Ylm_|#vH;%_bDr2{V)Bz_u$784zp
zoQf2*JrtHxQvHjU>x9zXayJHe%d(f=OdS5qI1LOxp+kKhg})BIHv(Q!?UJX?!f-M{
zTSo5!6Y7^R+h4C|1S3YTTN%svfm6(R(p8oPsjtc%Rd@uD**)yuuEhgau07^GHO-1r
zXnotb2s`VUAH68w%?Yt<NdXcodyq&=`(0-X42;uO%uegEz-eWU+V%)GbYYiIV6d$r
zoXlM{`}mz6K1Vu?Y}{c(I6EG1c)|c&Y0T5EiqXKH`O`f;acn66)>T^4j!ta%#<8Ym
zu4B@TO0UZF*wCL3`jtWTdXRuUNf*ss#PmuS47w)vAUQ0AS8G8RvW~QFbeB(JOtbRk
zMsa)4PYYI!LKR);pOjDF?Qh0RFrWEw;vN)1xOnADgbt`isbV@^t@vH@*)96dtZ4K2
zD8J=9Z7B0n@@D!mj+=5n4k6dEqN@^9)>;H@_!xn^W^Byj_gePfJAR)P{o?*`T{ck*
z0;l$ww52cM;t~AUo1U<uX)a-bk_AohQj2zvv{=Q3dWv~W7g<r>a~p9V7fncbVt04-
zzjfRr$aju<a1U~l__HP6tpV5fPZ-Nh{lT^I3lSEBdk}l=6@{XG8nEK8mHc7iFTPq>
zKemv>hMd@pul2O4Ls`s5^GR14#J03WbveO~s*G+~<{nUowKi?$X+(=w@|Q2xo#jBq
zW7qNZAvJIwInaAhj1J`<xA5e4<V0;+?!v!Mr~&ygg|6ZpJ$mXj-5$cig{~I9HT&<c
zDjXL2#Zx-OfMWVuy;X;}P&B8Sp-rwTta2Mr?;0|p3Zuy+jz(_u!aVgky`C!E2<0ev
zRI?jR#?$6Zzu-Y{zj^HA|4aoRemaIabrux(Bx|&Ah!^=LDwcfApo0DR!?r#htSFpz
zjAYEtkG=?=j(BNK1!L}vDT^K5Jl6E5>+%plCF+0d3>c_j=(~RJjS&YbvY*<p>k~xu
zrYYZkv{RrtP0EEcixVm3GyUrH5=Q-J@-t#`DZui+f{bT#p*QK84T`*?NF<f@RbvnZ
zQoFw?1y*vSdJlVUscA73^*Q@trac8Z>2SxCK^_zq<-ScAl0f#=u?fs36gbs%9CzjA
zL;vV5MH1E|Q41sIWg9~Zh)92!<vYob+>0$<@8OU}H8SmM4dxWk*Y;v~*eif8ueEzV
z(w0H7JekZd+$q5ODfC&7y%1v3i{AWuMi#j_=}a!9P{3xd^}k;W!YFUF=F`!7ImBVz
zKF-ue0ZGLK#8)Va7z4k&4rG)^)XEp3JwjA4*n3UqzOOh6mU49Fa8*FRe}ScVJQYYE
zL=*JnB$10?lQU-n5j|)AUR=LR6$tXyANNT}A-lgl)=JzYWG%)$W0<cBn=6|^EYi~G
zzdbEh)1FFb-F2@u{~<NF{wy;qh9rZY`yTZ>S42ju37)sfa_W#*aLk`WM;6U=ZBV|n
zD<iM0RklGM4G_A&wGwJBhb9i#a<F!(AV;fvEh*xfFckbzuhEWxZoW9geZh``UaGii
zJvGq+`&dC0%uycAT#5Iuyh}lkSLz}XW3?ePV6WO^D+Q#+pCgj|j)KA}>u=R{>p<c&
z&WE-XBHC)WV8zfwK>>#K;jzkkz&dix=FcA@a^KhA!&XK?BWssw{>#*dbQYyIu_cOV
zf%CQNUwaCY+y9R|vT6X92D}X$N+i@d7pcQ{PX(Rrt_moy#NfWd>0H5N68fa~{163G
zM)Q@)9+hSQpO_-tuGW(f`&wg3MUoPFez0`E(=fo9LJx4SC84EXq80WjipX#^zxIx!
z5h%Hy_9C4pp=k^8<f=mo2o;1_6J8p@lOK09t++_&f$NgT*I#nT{|j$@;T~g%XT0wG
zIZP4dXmpWIB+8(s#?a2+U<^#7lauvTM5HgJddEXh3aJSne7fJ+7=CB?+*m;h==Pnf
z;@`u>(9K>8uO1g;xYgMkFjy^*@*H(<X>JRm6!p2273RiJvl!lLahZVbMxNvTKEaC$
z{5-|-#f@Q_JuElULJsj;A9^9E#DxO=mTO;rF#?{)cv8YY88mBfG$y}~6~$RCO`GH!
z!B9o9fKZh*Vz>}L`BH}wmA@To21_HjEw;$K&s_?Au=aTR=MpVCA3M}`aT%ba^bwzn
zfF#=g@BO1?r%gP1K0P=(6Cg>fP9>s73=w##lWOW~c)(%h1U(8ssd?YG8EX+VAZp-m
z8@_}y#XEZAIT)Pz_+HY3LkQUl^w-__Hiu{5;~{u;8^Qs*X`QDl{D>y%3Qq_9H2&r7
zF+EFWLl~Rh`{U>~FG>XQ@VU83ybqD;hfED1&oa;^S&aw1c{HMteP9B&vxwu^yr>V=
z`5~K0>0HQ1wk11sXdLGpqlzDD)r0iPYU&UlCyIG1A|;$Wfp6~fC@|#E0~?=yxkm|X
zNNCJ>%xPs3FQb!NT5#5dw#H-rYYMC=i1?Ryh2{$`8xh7AR;dHo#kPL$d6|*@IpxmW
zt26kIAClocbUHw3#jGVwnUJNa?dh}ebNJwJQ17y<HZZDN-zuwRKm*Ew@AX>eag&_v
zMf6e&+SrCCrCsRJWUul4*Mue9Y2M?OoQxLS|2(yFSf389HePErXZVSyydgL;rfR}c
zbn1TxtaqVo^AP*y%@v&6f1THILj%|!f2=aiphdpbE}ZeZf8oVRM7J?t4G6wua;N(r
z4SM<}V@{p)8=nc0p?x%=4%@FHD?Vn?AS+X~Yp=Zj;I2dLG37_q!SjtzQiTl-x^&qp
zpZm!cF4JFm{N1n`l%@-f&8pC#)t{vFud>^CQ~B^s7H2g$8ZEhagF=I}CmY_557Qv^
z$(B^_NmbBI<LVHwr9nk(e!^pvUC1t^>(!{AD#ZO)m!pzSg9a=`XxeVmA^!VEi7|hu
zFn%`CVq=~Ly{=!rtS!NS(jIRjr!*=&+|XN_Jx+_Zljd8Qo-?BM@fPO`vQ$ut{wv$|
zmlpYiJ*hVj-i;`C8m_P*3VaW%W&5vY=iURizebiUh$r5#S$W5w=?y9u`7Y8S_Aa55
zVP<<!l&?)47Xt;-m*%dNoux;*O2$WXPqL$-NA;c4$5ep-AYEl>90Ou82>IA{loM4J
z3Sl}gl)>iJ-SXyYM#P|1(e^Bd3l&@MC-%xIgSq#eR>fVrQIFV6fbkMHx}lN#JNXtF
zULNcgiw<W-(M{SJ>0Z33==*^sZ*ejhT52rxakHXg%ek8qt9&S)^IKO=l@buA2RqO2
z<O9zM<E+3E0hE4u-ZaZb32Z|OEH|3j(Y4>CcY%>YD8BcI6ce2i%vF&eUO2;v#A25+
z*3XI{73O_<-`hw~&r@$(dXo!H{pfN1mLZ0u3pE<kib>GxSx@vI<VL19r0YKnOQ2+$
z(n~oxB*>{rysb&)MZ}{5#X+)CD2*(-DO^ed75lt!pHe=Q`c}DLH%J<F6*u~343fYl
zNFhkWKmctGUJ1Y2E3=a??i9|+E5V(&BcIBb1kr#E`E>3MHxBT&{)oS;1PgWaRgtfS
zkxPf!q1T-RB=-5Bfc#!EES&G!8m$vWoE=xkBYhOmu6hN^hOjaigw;BoZ52o6q2wc5
zOp1u*U7ok&&R;R)UHv)kyd*k5Zhw`xhJ-?F$5eW?C@`0lF{fB4g;?0@2EQC3BOQhy
z%Y-coT=4AMv(hV#itb9NRc$DvUs9Opt}j$@^Rm)&WS2$qevQXI7*kMbO6d0QMO9FY
z&K+E^-r;mt@MP}q9qwR(GHO!lP)`tEb-qqOe=Qw8wBMv6etiDCUbqH4&gAf?_Q|6s
zPLlX(K2;R?2ou>_)C9_KXzBWHB66bb_EYs&MSpVm89fuVA@QC{fe~2|?Y`+yxSpws
zRBA$9`L%X@=E%?9F)b3Jd%hDu;#E<2WsJM~FFlYqzbHeNR6><M`}v(TRMBp6cN5cR
z25@AR&Lw4332o~uBzu=q(J6hw>V;4YiZh!w#!ryZvnwqzBOfU!mB;Mg(=-6FtHk35
zPsu1H(KD6ifeJc#Us>7bpb?aP+}<1bmW&Sdl8W-kWYnEb`E%))5iA6~af->=sdusJ
z&ATfiMgDTj)>vb>kku*AEJsF0$=HCZvpo79G=JjkoH1-qpHp@SQbL@i5hmoF9I^5G
ztYL$)3DBG{noy4?p+@^drAY!(=(cqy!y6kDVA!{}yx3I{F*)NNi;|*<_$e$T$<_qq
z%ukCNa}ZG}J2CBUFh4qaF`CU&-30CnAYxg*JX+=X;L>T%h3X$i%-;KJ3<1ylNBVgP
zNc*awRj)TQ@?LE`z*%by=~*cmvFBwG`Qod+Igzv|?t1OkS;rkN=QcMsj7p<!W5RCd
zqBY#3=(sE_8o`I<*o_2ZDfG(DvIovg<4Jqg^W0;NfMCB{<FJPW3OS<r^aDS_lRBoK
z^RgMi<I=?Q_RgZHy7%1_%=BUopPgeDvv>X}``aoW=Y^0o^55!?`HZost&dMi132D0
z$rIVik2LxJ=#Q3s!)8>mO9ieNj78M7gq!f9j*7g}*prJG(N~?tF3J$37}j!Jm${Ja
z&t+~Nv1RPLp}!@=T?5dP-3)Or;y~M)?ccVWmNBJ|%P!9C`rs{@{3)cB73JpqHW%n#
z#>fx658l|+g9vqR@t2mnk)D(1yQqL=tT;pQRIQpG941K3l#m#ZLn!Vv+^~ef;cc0u
zv$|lz@a0Q|$1aqh<9ua4e-UfF#`m=Ei4HI@m$Za*ZQ~3F>;rzs|G*-zcbzxe;oZX7
z+l0~6o4AQ@VUUr@cdYJ4nEX|HZLpV49InV($E6me8tT?(u`lORS&o)#L0-$eGDUqA
z|5{$n#Pr_`rkQt@&6R0~gTGhi<&2i`F8Kp9?eSl*6MKi0?N4fg=+r>_u-gwjsdgqI
z?93EaFq*Ty^<D#TT-(j?`z(H+6rrdUKY@AvJr*yatpRt*hJv=7(>Q%$#g<+8D8`id
zwkoMa9UKZ44rIQV#8*tIA=COFFxF&ZH;a%uOv}11c)T3NHDu+?q8)~?Z!cC`qpqpJ
z15(tVe?7x^HT^{oJG>vu7z#Pnz^n#VE(G7#IsG^>INMk#ycbIks~otKs0uf)%+dP&
z>Bdi9Z=uOJ*Nv?ZM3&i@Re>hD&S&CP2Y#V=_)N!z_t>YfpdWKPT(deNpivUqg8!{n
zcG;EEjy=#1{wlyv1>Pp#vX|eRaNTR+V`;2y7~#j<&FDf3M5!)TyybX-+sPa-jr;uu
zOX%6p&Pbs^60K_nr$-&GlJxP|dGlsWD0~lx%0(5hIqol=W>AG2#RQD?EWW}9GtI(v
zE0jSok6Fyk^gh1sb<w<Xt_i#ADSDayBN@^ro(AL-a&a!RA|WB=ChT2X-i9{^8Cnlu
z_&fX}o<V$el=TV1KAneO>id*H_WIMJua^TbN7cwhpBRLRHy6(yOd<j1__1re^%~}O
z^KIKoJi<n$^8>EFQ-pBNG--RrTbN%qU9{IrgspmeVcmR+;Fl<C^}6yNR)6^DO;BmV
zyjN}#etHpsk`xeh`Pu`_@78M6d|wk5+oZqHTdx348x1YrjVmzz4v(qq@>kfw(;`Rh
z*cG7K7>^zgtj2QU+awL@Ut|2a+v2vq@=)~5S#q$k7Hhi2%y)aW8H14APu1-N*quPJ
za^tJRJ_UL=Yn^PtXk%Up+N%)2`N{dI*_bC-acK^>BTpOV@QqtvJVy@Lo8;d`F+Rfv
zBgS6RZoI{k)m~p)p_hXXb1p}gYF=RNwTA}S#ol3j9&`E)p|WuAVvQ!}6&$;l-Q6ga
z(1{5+s2y<lCIg=G55IaJXu`JHJ|}+4?Z&45*;YRCl!311(X+(0SC~9iTv1G@7u#NU
zp;nGbL*?POoTW|8*zMNi%dxNfu=10sw{%>k;gk_a@!uycSk$-xqh9_17ADqo-(XS-
z@<)Hp6pyxHG?5ZB?Bzq4?NAVV@d+u=J#a@OMY{tFHj^qk_HzV_%YF9n@UkT62_%pu
zyWV4?p9GaOB0gbP$IgXYL`#Cky{c!r_TAW5ieIOP**Hda%fUU^CBZm~NK2UM!MskB
zIh!bxST(llr(hxh0tej$a|`=0;$mLQ)wwB5O~&8)UZ6PiW*9J7Um3s>Rz)UVd%s{J
zac@ot+!KQhK84gvr9)WM-TAwhmS!-YRD#^u52DbtT$j$aJ%Sy2{^RkleREiY9{Nxy
zC<^W;Yb1}|_=NHE8%sD%f5-I5nzwGbh``OR9Sc7@j$tnj5V_hHFiY1P`<+XKp)f}A
zV4(FR_MWeEp9ak`HuN{{=a)4haLF09iRAi>^$xaWceee+^!&|Fnpp}#s_)3mar$X2
z%sz!_<Mk?b{+-g{+!8@B7GVf(Ab-V%Twgy8T>phN#L#y#>=uNdg28Or*XOVxCz_V5
zQyZ8TCGGH=KmjPaOMN_~KaWk@`iNbW+QLR|O3V|+_yI0x?-!;nV!1yZ+oa^Tu?)7f
zn(K%7A?v4<VSxTJw!J&i^tKT#7``+Aoz=|;g7q_2&Fm{!(hc2ruO#R|CPw$#M+ZJA
zN{O!S;a$UY|6bwtRbzmmXWoMrUw9#K;X>~z`*rMJJT)pgo(Ym_ism<>c)^)e_?EtZ
z150kqCD!q<Kx2(`kb@L2OqVWXz0cdi`uSZu<rnq<z0rf?qJ2D&R>PZBQ@xD^2fxys
z-opt2*BZv7vv>e~Gau5rMhhp)yNz#malxrM9d(V9JP>lUo7fjd2cO*ytjAyTz!KEw
z+_B|>40iFfz$^wxQb{A1F7QGBwjS+_Jr7KbpOftP!34i8zi{X{2tqqozrJ!f4~#Wj
z>JUq20r88b5xf5igYO4U$(ENqQ0bsv%NxK3Nfxg4cfX4P^U7{pA2nW>v^+)hvf+dY
zG8eDbbxBYU*wYX+#tY;0_xU>cxM6YoubkcyX>gVcx?|PB2ObxqCT_CuLgISb()vDG
z$hfWhw3tZ%Ty*$`FRJoGcYR#M$Z-P1cf1*IEfNIMUKcv03_%c)Es)TwR)E-hUw?nA
z6$UB0g7N1>5eRXNi2N!`0-cez{==4HaN8((tLUE?2+kSjgfx+%-N7?Z+e8vdS&Oin
zNs`b!DlOEAQNZXnpQIv4!^jKg%OMnL2=I1wuq&eikE)_kO1UibjkK#>T9bkHsG%#v
zf@&Z+EB5|ImOOZ#5RGf?mxFG*(7yUub$EQ5@p23^32^Sk<K(yUAc-FhUGLlBqS9rW
zTYM_OOYeirb`Zf#D&J0;Rtx-9_ACaCQ(;2lSG96C2^^PyFC?vK!Fnu@XJni@u!oQY
z3fjrAV%zVmpQR1Q)U6{wozjBAF(Lc=4^@Cw#6tU1hc*;M{L<1&(FGy4KS7ff6p+qN
z47R+a4U`-<riBgzSc%NbobjZB8EdNwe~lJoEQvL$CIMK{Qyq-vsgTaIR=#DS3HFy*
znEZr{p*C&8%?eY6UBwQ3t#<0L_hDx3{3R23P$%Jj!Cn;#{06@JO;X{ujX}8lb5jt|
zDeXKduL=jjxvf%O8Au)v!feX+!t5Y}-<c;=VCFyaHbGheb~9#?()OFd(F%IrWhN>J
zO~fg_Vv>eJ8oA>fd1jEbe)sj11O*ak1IF)L2}0kZhVzGfGx&aY=p!w+GH7|Ki<)e(
z02?zo)xq5i45Y8?9?2(x4JXfFV8bHzRGa%Xad9s!uEkql-cSJHs(p`ijxOP6+1A^4
z9oY*89$QIT1_TH&;cHvn$AE%4B26Ecn}XzDC59VOGN41@|2mezfvR){)aX`B;GekZ
zuxFbj$aVaueEA^{TJ~ww6w)>Uzx;`OH)m0JtTxTF6vmHuO5Vms#~FiFRdU3rp8%9N
z$A1g)5=6^kT)e0Hj37PJL94Wr8?rj65$$(`&=acAIW>wAc)xK^I>N^WA9fwa!Vd|f
zlVbz;NDe^qixdCGO&K6sW4Frl`@$&6vn=ow8$g-F{B=kBEzJD!n+xau6Go+-@r6%>
zG3ZM=ooV`K0izvjGq1`LMtZyj9knWkKp!b_xGbg%6TC>2H*^t3O{?K7y-o%YRb6bx
zUp0cyqEO*_L18rL=A|x{p$~3#89WxAi#W|tV4~cB5b}Na#O?Wr9^AIvM>w#xjx(>h
zSH8;?LQ_>(8zV&zX5G)b`JdXxrw(0ftM?Z|9k;!VZe;2L`D#ts1~VN}fO%1EJ0Wyk
z@MfeAjV>sqnR@MEWkili$Kwti5JIO-Ng_1obl?+{os3EIZZz{{e2T?g2&Il9TyaAi
zT(ozc<27PMPrN4K&J`h4wjN1Tyr>PE{=CC%sceY--unYDx`ois=PrIZeA;lOBz(5#
z5eK^4#N+-zMHr!;Yl&*rS}?ryIfi|N6Qy`bf3_(VMjeMw*AClh!MptmLo=ORC}eDc
zK0sFlvFt6`ANyAm9)50X3xC0leyBXyikTKc!Ou1?=vHe&yIJtH&&51Q0Sn!nE)_*@
zc^MOw{4^mtEuv~6g%>HQjpqzr6ho<eWSgtXnlP2hdXgcC5B=NB^YjiCM+Gk*WtaZZ
zfJ0L)zHo#e`R||QiHMRw!##5heO($5vB$aK<X!<3{?+g7S4&B>OD;D2>>~}}47lC4
zp(%)p=`NSAOi3a!LNd?#O%2#I+r1#8B7~UtPydXGmqIYmCio#)1EyZxi|9}mMwAB1
zrFfz=x>3}jb}LZ>w)8!ik~BpSE3VJ}YET-r{4`f>OxFM=AI_hJW}=8>MsVp&l0n8b
zGqX+iHQ*Yx_ZhpJ7<#pG*l5E*7TE+R%gD8Az*BKN%0EUN(Q8$aZB}Iwx_&X*aZLlf
z2gB>PN+gg@@(>~Wp&SYh4&<(-Xu{$^-wA79N#rnMHMiH9fYw^NeuPJ8g1i;W86P?+
zv@u{Ql*A~HKE;1N^Qub|`o7dvwd6~oFQ!(pMy2v-;_GPBc{MH2@Lo1H)|N&*GviJI
z1_~%%ljWIRu@(fU?vgswBaJkDP19nU6p%wm<7kzXHk^$T9IZVegIIWHss^b<bnq9F
zD=*WAl-AKwy$u<3>(J5Rs1zc~pZJqWXQ%`3gA16s5@gZJQv@5WM09k%t6b=V4zRy7
zyeY^ihiFP(UXuArL>v2zcow2`LHqabuQC_p5V2eSzRffdaVC}?mXp<kdzPyYX}-##
z+`-e+v51IHwK+|3z1IWHHG$(-j0h+rl1g_aoQVDh0096043~L4)Lj(DQL=_HGxlxv
zv4&YNj5$J!QrV)UL`o$hk&=}5P-#Jg5J^OYD4nQ8k)^buWQmGYD)LtE{Cht4bAP{k
z?mge<d7j=A1mBOegJoPZ@B7D@xV?lQ3-X4zQ_%R5sv(4}tP_?)$VBR&_}hnL*f_R=
z*EG9Q2%lHToQZnR#N#{NcC2q=Aw~Coy@#_sq&-jBA2`lLOVQ4qpMEm&@W)X@(`I`J
zUEFv|Zjgxw<l}6GicGw_b-BVUp$LY%GgwZIOx*l;qwIV|26~Q671d;kKubR6b9f>X
zf0zAz6!#wu%OqwpYCemg%X?eh4q)Qjr~TWWzNcabaR*hB2%tV~K)?Ksfr&3RoiTVo
z!PH*i2Q>!3MgRD}ZJ`V-OXMdR7a8E`YmuueOaS(mWHQNPbd<L-D34_8<H+vjDKjI0
zEiF=Q@BHZa-zCnLFJxWR|DHOcr3YY=M3QW7q@lo&HJm}!Mp1?ReXbk;R0jUrO`)L!
zS7rNEPfgrrbi$$Hr3gB8jeGK9sCbs9Uzt;;j#iz#%5SGc&>`KQ($hvk@Al%2AvS8L
z{nvw{Cho%uXSem~Gzz-d`)D7VAmLk={-HT<?ctV9;A@@T1~@%A@z1iGh)JH?7GBt8
z4@)lgWb|IqN7>KQ;W?wK=-8fg{;+~Q%pdq(SrV*=QY>?U&`=dGQOEq&qzhr&(%h6v
zzAnnt?q4&ILcp^JHWCtOLb%ZJIyi=`gU7fLc}jEw3KC8vTNm5G`x9eNq-C^`c*V>@
z?zIYz=X|b7v9N;@clx7oMJ=5BK-Wv<h6=KKI*%TxwuO>TEi-?%CT4r5W``H4V1<;{
z%nP9{2y$8%8m`vB3pesgbMB~MTa`-af(HV~c=27nC08Bgx~5_md{)7jvbUto%LH&D
z<A^X`N*$k9f1oVk5YSX&z`5y_4a_DFD0s%G;h?L-)az3OoI3U;?&T&M@Vo3@OOsK<
z4LNLb@GMn4UrJY$owkOHG#BgAVlsvV`1D;lrivAUr!F-~)=-vYv?FsP87*~6!_HEP
z*iTD8?##3XVSAs?F)K38UP)c+*GfcU%aOCPjaHyIU+So=9vNFG`<=HQBVl>#`+lDd
zRuF0xR9UP^#vqS@FprgF9NJoylq_!riF&S2<`|Lj{jqN??Hn~U4tpX$yNVCByF<oq
zEF)w8Qe0R^QOA}+%>wmJe7K-DY`x+L8Iyc>mHyS&z&G`>Z%p*~@bkiovxmFL*iH(5
zd&*1`KfLSTQ}TufhbD9brN#R$T2m6b$yEzYD052Wb9j*UE)EV{Rzvm0;rl{jwJ~#H
ze#xD!Jg7H?`YI!JtlLVx8&Ri&?+NoZEE4e`P^rk!uR$H-Cpqic@_Jah<6kyUn+I;c
z<2_A6G|(?}v7}tEKK^97|ED3r1Er;DYdcw**e-wHjJ3r8C)*vCB#(2!UO_2#d{Ptr
zx~+bFVT#{xRQYD>4_xSw#45QiEv%JXcQ<F0g8oAV-giH8;W{z1H2I!3ZkeNY1j?xx
zZ~Sp<>ogaBUTFxzyE?dPU7#o>mWGAn6;TRg9vpoT!6|#9ixN)B9~4~ZsH^w2KwHRz
zq{Ki)&Idg-Za5s%rp`cD-W9ns5j-fbOXPl<V}Py9%f8tI3{;CTJM{G?4}SG0r*FwN
zz<E(o!ojOde13}JlqSOmizw~<Id&9WYg8MNyM=`YM)5iI;(L*Omd4!khJu^SPR>fu
zXXBo*#Z5uod^oOBu-Y}2iY<wRTRjih$o*lle~E_`e0JU`-J(Oo$|k9`4^|ms<ByKV
zJ-t?NJUF65x{ijo6_m`3Ul`(z5P7cQPHXrh=N|RWla9`vhkpIEF~WOKQ<yK+ZGfz0
zZ?7;y$3>&@b^JIZtRLa#QSRG7-@hgwVgv&#G81!_=NO^yt!-}}M+?ATcZR=xf`LYQ
zvj({rjc~H0jyKQT7XIA~>O1Gp#Gh+QggFsLsQ%1%$l;?cy#2?imlyNg$*7C4P~Qk^
zb_LZI=h{K<{<D;LMHccY0+LLgAr?=}p7q{K2t`?sK7Mj!Vb#p#ceDSo@gen%pNoV&
zsFgMjT-w0G#NPjIRrA<bFjV3bkYx`#6*sE3Y-6FP!dvEB7Z!fZ?CTsc5rM&5zYFL6
zSU6%Y6}aA!i44y#N2QBI@TMv9ha8WEw5ruEBnAW9`z{{m$pY;4xO;v6BomhwRVwcM
zNyGh=`KmSM0Hgf8M6XOH4yg+%UiDNo`ncs$vMWGnjCIj~854IuMDv3Q6nqrfW0AHN
z;KaJ+KV(Z8=%bU@9JkZ}FM9q{lidK2a%r!gvkn6@Hx;aLv)99Kj@zsK#Oo)n-fs7g
zr6a3ux9>bj9lYck<hybiKyd0kKerAV9-i-LH884)p+b%BUM|4LRKjB&JsNg7@r8AN
z)$!<A=@Wld0h|Puk{CqAt|xC~m7LUYJO6NgewPTSNfz5QiYaI`|5wAB+a$a^PkaBz
zND<W6?)uy@VStZwie!!l6VZQL{ooG;5xjKc2d=U)z)zVkmgz21#g&CE=B*d(;kQo6
z$HKY#NEAgxo>)b|)eeG9OKA46)wEcdSEY+L70>y`T~NWXRN^+RLLp42)J}(o>7ZX+
zx3jve3hE62l(U2&M_WAc&Q=?JXZRF%du7Z>*SGX4u!H5heZNKPYN5^sy`GL5C8RIR
z5b4tG;8?&y%M!9Ct|9m&8^tJLpF&vO&r7yYDoe^f#Lz(3ng4b&#r39xW|yxT*aDHA
z5SH(%j)HqqJ~9<b828b^d>}^vg%aPpS0{_PT`#YhOHoE6xA!y)ngA--D~hT=kn#D=
z9N$n>MvvjJUX?30ux4!O$uq0SSQHzw_@T23nuROA9G_<c(?TUq?tqxfd9(fA-&MiV
zyAIcl>#RXNV!AZu5D8&q^&^oh0clYI+4?Tl@KF2D^(=c59<T43=>1H<A2;2Sb;WZ!
zxPAMnL?se#kNt2!B1;v$6iyZIjI@HYe@52ao+P5x+8_5={zSB#(_I~{Vg-*TJhxn(
zAfoH#G>$BXgkg*S&e~bdhb>EqXI@K^aF348^ZjaM4Bu_WYw+g7vb!%W-mpmcxBm5)
z^YUVTuRr*zW|o*U3&*}J2q59-_|GQ-l+`iV$@6)Qm{(JK-D4h<k#N^TnJ^`BU&(SC
zOAJGK5Vo1aP#}`==c|e%kCtfSQIGu6J*GU!rV=t=93|uW;L8`P6SPnv%Igbzk_&D!
zz5BiZXh4_06V#B`njrb*i8eCsuqagxT=?t$k7QaZ)~6@k3)i!B@yDZC%!+g_Y<PEO
z*uzg<%pI4V9VvR)vZBDFE`|$jx|`Q<#QN0q^?2xd83Uw+M=aSH$OZimnpTP5HSpuY
zbtRlu1N7o`Ii+}W;oGIl!-}spaXn}MKj#Y+bT`$$^kgL$nwQP3Sk$S7UJ>@j4cn+V
zS(uVGw4MuTq}w-3-e}`||4z^23uvequHJG<{N1{%($`~t=-@?@*l|-D9Rp|LBkpH$
z!DW_AcZr@JsupWa_enDF>6X(fa-Cf8E`9q(a-}{-u!fcdi~XSQ^+u64i3h>9e9<TI
z{9ktue!;lSM8eYG+{7Rr%=LBGBu$Eap=p<fL<$RI=UBErddLGOdv`a7Yzpdl6wM1+
z%f{NSuw^pVd>}<_`2Bk+6;Cx%`4PH?Xt?tQ&F&T-Mm>uU9hspb>CU^vx)wtmELdqP
z<6;H+#<!F|UZLTV2fbIXt~bIyqXpmdMy;SS(l~3tosPsJwd}pUMo6IMkG(o?4cD@J
z2va}lIMQ|G)*c&UG@Ec6oLFuHH+*OIMyD|F+2YXKrs2k@u%aTYNL2urW#R%8sZ6|6
znVgsvZ;XNaRh#U31fVot`FB}96Tb~|Z{}<;#$`vNJ%WmC;iuQ`fL;;{SD5%j5VehQ
z<Mv~l!lUe9oqOo1=x`SP)FbB@<QZZ6sO$-Ukr3`|Fk@y_v#{jPv~$QGLuA>Tosk#w
ze?y$gRf{1O`W?L9Y-VDJjG&&i%PQ^RYw&)JQ&TKF8vf6l%VA@xl4^~Uj|iGp(^;hx
zEF8bxQCqLh!skm@zKR$T!Jgs9Zo^g<nuniV>LR|cwA}YyGh)v3j<#;}OlD!*k|#R^
zXX*G#Ve@|P^#I<qj{TNmy|9*w_StDmL;b^+ZFvU)GHo7(MTm2RYO8tKR4)Z1?>g7!
zUjQhLGS^;Z%fuk9-TDy;VjqoB2M*@}bc&|a3bPp)_=&N;IY<wSjJECX%m!HcZS3%#
z?{vIW>rQ$wsEvu4N9U|N1#oJv<DiLvjxMFcukIviqSDSCmUdA9<}u|GCebvMtPR{^
z87$_U?ff6v?f{L=>?i#tR6O`?`F>#x8P8w%E!)Ke2r=F1a<-p>a?5IU?luzfi0q$C
z5cgp!D0<lnG6fSPODb~2oUi#d{4_aQ1T`)q$yZAZP@#8ylA#O%N4ZvyhyK_DD~`NI
zpsbIrE8}0?_^pgF5sVjsd+nijkLkU@bGrD^HF9~v3MD+{jh&;vgb;gfoS$c^gG;oc
zW=dq|qHt5;CCxA)tT{N8SpQlJ+cVCt4%b%1Cy_5#`V88^qu%N67g?HkWfgyEcf11b
zUD`U@>0<|@nWW~}JsP-sPUiwe3k3{nycu$^)fP5I2)5RQtK$;tfw2<00<PIvJz?i)
z3xN(ky^I5DIF>NhIN_;)Q`72uuha@)iD4>pRtXtvNv9V#)+u1Gsd>2<R{#eVHo7`~
zBjJzNAw4}FiWspmxT~(r24Xk#TV}hF&@hye+@LWR2R2g7!Q2K~n*F=-TZnjT*`}(-
zIZ9aa?m>f~!Wy2<df9w`4H2CxcU+jzQpP8D(k*}6Si=<$zbQW%BIZ<b4;?mCLD{RX
zcun`M;EmC;fTm_ulrmK0V7Ce$zxyZrgV@(SY?xW(lc$Pz^c59y&l2#K#QTZt4}35V
z*;g2PMisyBc$zvApo+G8Ry$b5i+y_;%`7rq6(f~(UmkWKVp;;*`<E^sKETGl{z_G}
zsC<E$<|MrO^`~IoJs#XM+PiW7kSb2DlFr>`PDah5<*D2)Jg8l5<IOQ5;>v5QR;_eU
z!@!Uf;~-5Q^y-u>4oV>6$hltQ#z1w9y3=RKe#(XR1zEE)#Cr5}+ig`wng+TJosR!<
zf(wj8?{f>oNtma9&2G3)6Q^vJE7+{yf|F-q`_?&RTxveJ*UwrT_qX}vp48z&k7@DG
zj#4sm%W^khz7Eba*PcG{l>;G(6Pug2sNvP`Emw$iJ&ZO`<UfDPfu`n>T_8|LDyyzS
zvq~R#JJ>QQH5{N@5Ekm{YM}0z+F|_?16;YvY?xEbfr2CR*Yb#(C|uj++;D_~Wjp>n
z?JMHIif?gm9d)$u^XRUdoGnzm9iI^Sw~_-a2TjL5D{ZvOYp4qJprNQd*EhPA14j#J
z`I~}t@QdW!_d^bJY`C*hWHHHs$#4AyQu(@g$tLF60EdCQR~+81V#Ecql{@ReH$BuR
z^ysOunE1W-19>cr3zT=|2d=RU@Wt<$kqa6uwDMjfar7Y<ERD0DIQ1AHH+$DjLuoel
z87Pj%n(<&m$llhLa}<nCw4eKIgpKocUTauh;Q_9&Y^ipq;xnBFHtVh-zB(LH`+&oT
zjM-C{tOztD-}maXOfW(PQAxyfJ0FVFZn`s`(s1~CwOZ~xWAwZ)>8iWW3KUW$n&pqv
z@k@zs>AQMk4CSOI&e&PQa7C~bL&U&1<C?zZ#wI9ha5%b2)&?SFH|*K=iGeD&w#*z2
zGr{=u#!G~EHgN0G@9RY;n3x>5Y|pjBCiu^2)2{n>1+XgYnc99G7QSU9Dc%Y(!JIJ3
za^rkk(A;!AEd7G`{D#F^gL)>I_U2x(>@hpYqrE*`BgMv3r2+I$8OF%Fz2jEpW+6n;
ztnQ7vvC-dSqoU`a5q{wDFRXB|hrbz3Gx>+u7|#7ro$}iduUR@?{3|a4&q2r1?-^{g
zNL<NM9AM+{j{H7qg9rjHH-A5MhK<IghYjEISf~=x+U8~fpyIgNK{AAm&(qdz{LhJr
z!iMIU(~$rkwdc&T8EicJ!(U>mjgGs&O0}FT0$A*Kq(0*w3j<RQ2wa!YP`mqC&*i58
zM}*l!UmaK&@vO0OM<WHvi}K$l4FlA82LvxGV&W4Y7s_@pz~WWA+|tIy_3=Oc<G&e5
zr5u=PI;)E+wD<XOBLG`l{+^5$Fz{mgzm*Z~T9|8eE8pWefam?SzgxG`F@JQ4sK;Id
zh1vnTw^RX8Z+#PdOrc?Kc+ffN5i(vZ?Kcx90W6w&xwWE#ipq2+Y3U9zx6W59d-(!f
z?^xa3*FnMK+dr>a{2u`mniiDusQ|t=D%`upxnR)(ue|BaD)_rxzAOKs2<*2%dR0I)
zK<BKzoh{}{sCbSS{aqvi`h#N!KgQ^xL)E$5ud<4$k*PmXe#0K>brk(4dv(xLS#-q9
zQy#CnElwXbu!qY?F`eVBjr#0&!*}H5(9EvR$170?d5#+<$3JLdHz74~yS^+gY+rS1
z<4-%N+d$mfkfMQSA8(Pnc|ryQ-P<yk`rARZrOWy;A9eKgKG<pHEQ2PYzcT)`*g|Hb
zr~Oh}HT2OW2CQ(DLDRlHheTGk;C$Umb-sX%$*0FE%;IFw_t&e>WtRoe)i$K})Qf}x
z_cNL%$7N9dd#7}VngEj4b|@7j5s}x?pMxi5aSK1Vdd>+OxZ=FWOVqE5&FdE3zv?T8
z`q)ugAY}upaeu--E?33=(8lE3%jEH%#QE5%z1Hv~A^$_qO9Eb5bdJ&=q=1jUlspss
zv4Y(zpJ|Bp5b)EK%iqo{MU;CrMktK8g6NE0-F!X)mu$Q7US?`82Cb9VkCe57rRIN?
zCu9kjWTW*bW4ki;g75IlvwZmcUbQgqn+mQ{{(fHXpbDOM^xmk%<b%vmS$?Ltt{Jw}
z@5DL+lCBpXbi2)is`B$Qw&H!N0#3K|xu_!5Q+RXGn+J0~+Dpw?63~~^mXf@Hh!?i6
zJxrM90`2y`M<Ede%oct$vGgF}gU{Z2Mmb#IwLS>4e@MV<?%Q2s!pW$z+oR&RD;Jz?
zJ3aYks<=*}m`u%8!=Ah4k{Oa*__=2JsO42ve31XVczj45zoyUN)7u=_6?fx3OF+ba
zdh~F*P!qK-HmhFS$AK3GU(~ewh-e(-eyycQ3)Nb)`Wsw0P%T-*G&oN}*0gQDw6P9K
zvc2_d^f>VHMF!m?K&&J4?zd*%)5WiKhL0Wovjp8^Z&W(xtKo8oj;zdW`WQB*mc<^l
z1hv-V(l@Qt@m%L?rf;eN?h-UwEP7!Ho}^nJXFF)%UKOtd;sFXq8FM!$cUwaDqdUjS
z)@tIL^rmUoC@Ox<9e+0c-V(al>TmX)(n3a5%0;;y;=De+=+5~+mcaTHxl_7Z8&}y(
z*!D)z@jzuw*lrdF)MX|#lFf9nlHkxew2y&Ky*K=Cujjz2Ev?~7>3S&Du$XXD%+dDW
z6{R619Izg{R4OBHfQM?Au^dua__wYz?T7*wc6^P!_@vDMrRipeUSx^+w6Fd2P^?%_
zvz^bLOsAmtz4RBPEJK|9)%TDk#RJGPuDlscMHK~`@xhZuc=i2S`%4)-*xg>^zED8J
z%u;S?Qm8Qoi=64g#e9%({i5?xfsW$_d)*#!Owd$UH#|_@3d*v3CEmWKqtVp`pFh1c
zL4Hxo(_V3&O>G*VFP+c8d1pqJ8+)4~e+?<*?mcVh%il*G3}j+?T2K9Op($1+o631q
z*g)y7Tf*CFEW9Vj-=X}#6lIbZ@`=|4;HJMb{89}Izdw!dPAxLUm(6o_m6h2-|Fikl
z7oFKS5EcIHgPSQDP8FoEE9~Ihn!?jBZ?Q3ePdT>uwh3ko&MurN6N2jF6W)&rhG^#h
zZa<6~;{$SJibcLX6pW=m*ydu0Kk~O!-g#q$j_>t(#3LeLLbYP>dPDqKMSnt1H^fo<
zXB=50fGMhux2=~Unov$2(=lXYJ8#`-MgoA;qIqrW7>2my_D(tDb4>g?%`g1)M9kr7
zbCPE#8;jD4PBKU6Xcy&_KP~M5XPi@MnSN|s5uL|9Zc0Oy11sy#m^#3|z?R_a%`Du$
zT6K2Ab_zZ@djC(pqXP`Oj=z4P$-;V1nSIhR`lxZJ@p#1|2WX?W?2&e7qUWJ;wY^*&
zWUokj*(`Jb?m6S?3sDSoFFL&XAWiI}N&X%_bO+Fyd=<%0q+>wk3;5@zhS8U1YKVUU
zV99yk_*5Elq5`+cJ|d!BW39|H@&DfqE&T91lZx{vBAb}U33&XPl5TVgz{ztv+j?^-
zm>q6%D4e5=M?d|RY+eBnJ~K8xU0{F>#7IqvPYSrM<oVqQIe^Q$oKe>xeatR2G>zoS
zp>QbI>Fpj7B-nE%b|i`YQiAR2t#f4X```n6mACc~yQrf?=CL-K>96mp@{&f~Cw_6c
z_V$o$uM<>E(ZYly<wKx08;9(cA6lC!1eJpaCWvP>@ON(8-AA^w@Zs~x>dI+5xGyPu
zWk6R)r*9hNp|w)@`uy{$N8Wbe#&_-h)k(%e`Z`CABT{(pNB3A<wJm(pe{-60iG-Bm
zP20;;rEu?b+`u7CTPXXdpjMDf#CLwn&$|ssq2D#nqQE!-JXn3QmX)E3y+t#{E&;Q!
zp0b=6H*5orZ;4$q4+!XJq8Z0lnvF>r{c~vUHXv-0z5z-ER4Oxmmft@cZ7<4EPKxIu
z>_TnlM1%?+$z2zG_N6qAc~@wD=UM}EV%DnRA!U3k|EuchmpM3ac!Id=nicG2hh)2n
zb48GU!#hoeEav5=%ynd2!JoOiW=+H^p<RA9M<!Yh-S^$eioU`J#)#FttLjSV^|vH&
za8MqjsdhYpDIZ?2k6%vdnTyMxnUk_Z6>--qpReUrJXqmtCOy$Q7e{SY%v>iaA!grn
zly?^Ag7hbDP9NuD1D9Gn=cO_>(5izXUvgov?RUAG*axgGR1cZyQNb*iN5~H6!q}~^
z61v$+81#46CSsr1SBP{xgO#~p%8ZI1=PBdjFl{%{gesoCa)KUL!2u6@?%;|^Wn4!v
zXgxt9VW`v5dh`?f@V4=7GTT%Tn>nY*OUWpC;A-0$B@U#?9XOx*T?LyvGn^&T#QA`E
zzhm=5OPKc|;o7ex0v7oTB0{FsQO3&a)q_KpkaTvT?^-)m)QZb_zcpMFXWG`T5xQD}
zC3Wuz`JXC!bhgqaCA9HtN5q`nx|X16Ts#!jO~jC-jJ<7FbTC|2Bh2=f1rT1$RQETK
zFyo2CyMvqcu;#_hbe}gCaGbN}Ue$dvDv)zBE>jG!*{_vwuf+nKRt}6W?NP(oy(P=P
zX;JW%*?*h%KD2<`;(|@XavIn&m8dx1fQt8DNHvr`wSe~2TRM5Jnz+%<ef~3Z8V(&+
z*G~Fi0gU0FzqS`@VSuj3?A=S~7~QW^7pQCr4^>BFr`2?@AWf@rUnm1<(yu&EEV2aW
zc;chP3|)L;QFiNGDiaUB31qK7YY7Jy&B(}e^>M6fl3&xvLdQ-2Vg-|yP*(Q&LqM1T
z-W?zx*Zji9<m%s#JvMXTef7ot)k`Uu7~-a;LN-FiZZ-8fao%yS)O#FbPQ}eWtoI7$
z#`rSgw=pl33oT7jdnz<&$R07jn`&c%H~n8L>$&mZlw88npHg%jUU~5D79&&4dN!Hh
zOclRF!@_T#pXq4!qp&;qw<)fw(Kym9X9dbf&C=F)FmP&o-nX1fX82=UL+@8<Yj|95
z^NUl;#9W&lHm2(HaD(ficPb<ski6k66%)t8o|!Kqmd88{(X;LeH5Wj1_NMYAAsgM=
z7dOT%n}@d-R`fWpw1uZb3#u*;v$1h?*4q48^H7nS6Wq1W4wf~xr2mOD#3SxnHa=ly
zIQ(Cx>A?aa$gg>0tTt$fne;(#iPNT7Tt=@GG}=Sl=EAK%<{4pozlNW|Ruf!sB_^P>
zO$56_=SOeyGQvHvrrV-s86zdE(|^n#;P$3@b8Os=kd+}?(iI@qneyEn!D9fs<p!-A
z7)E$$$MR2?&$2Mp<E#BungiT%`Ke>})DRU9*$z4uFwpAHA>0`30O9AoRTyrDIFj-@
zX;uLZy;LGcLem^zi92Z(v6PKJubf%wluN<Gx7V;PRyaV$*p7;>Q5Gtldh}PuO&<$;
zi|?h?I)GfgQ-+2d3)fgLWLO>3#@NxFU#dzSU`)ayolRik@0jH35D5(&B|3d;KkWbx
z*3r7DG7KC@DZWB_Kti2^>$Z|NI)ER+B1qyJ4adghSy}H0I4~;cc`eqp$R3yU*5_1Q
zx!LFHrRz%Ad!TG2`V+wa00030{|uLRIM!_xfbG5a-ur#=+S_~Vq-0k{MfOUilq54+
zQkf~MD2a-c{d<Tc@tGkzLiWz~`S-cb^^9|_^W68zJlXJ=qFfa1UfJL5aiBwPHy30j
zasVDiob8u*E`mN3>1ua;ph8~b__W_v04DuRZ^hY!k%QmM+@eq9s3MwPcV?3ax2JyW
zvhE8Y=if$pI;TjHk1y}!yQ4&Sbwq{Cn4BN^v<HPXF&$vR_!Hk_)AfOUj`c*5Brke<
z&ml6)dl#cw@3eNA(t|sllV&2`+$g4C-0(@}Hr5e$d$(Lo4|K^RLoWQ_L>3`uPJVg3
zg)MQ`KCg+@h0q7>xW~2}2v5>;{Il#9R;M+ZX4Izx8SkZwoA=m|jJ>Mo$k8pVC8A+)
zQeFqXam7eAerH8EE<A0==oXgwS#^OUP8<03Uk%q+u%OLj@6THGZ)41&V>LVzT7Z8&
zY~cKa8SVGS=c!BXV!$<NDPf`o{{9ZdmsS{&(@b`wLHQo0F))1Q)EiAWa{o%{^aBRu
zA3!qwGyVVziOX~N&aMfU9<WQ-y3r$!F`@X8CKAM#OVb%2sR3iFhLOtwbm;s1Tc71|
zQWW_023^*wI&fLI64Tz&B4ddb0}5_(6y9^xhuc>jZkx5wFZ0tP#qpO{EY49N^A?7%
zy$LmF5*K)SwSoqb{1P56#wd~hqtP2@-PPdO^Anz9Q8dVB!HK;@jT*(*g(sYtR)vI9
z9g`YYY0xn6HlF!HgOX(DM<#+)VOEo3tnCpE>i;k>qvT76l32Rm>h7z6rTNd<W8E}p
z^_%t;dOQO<9m;HVBT)qy4YFMdb!ky8-Cq_FdL|TjcFwg`S_PCcrv}x&)1qZhF5L|Z
z78JE<zvkVb3_RJ~-SJ^`XkmeDB#Dz1y((&0OYl?%?+As}1Y3Hvmgv7Rs>z1l_SaP2
zXHo_k+k~E*Cm2v#O1ZFG5IefU+|yK3tpr>DIkt8LF`|1FacpmEIFLs&d-a2hN+5pf
zGdfbvgs6+2vY!;=LYeotZ-vS$!N6?!zW{a?g!`4*y^+O@XcjA<axD|US<#m;ILv}p
zqi^GwHF?qZ1v!kqh5$0BGurtuR`lqF@D}A9ANq3ThO6LX0-Qsi6#jf<L%)V^M6=ci
zApO3h&bW&NxXk`j`T((`8Pm29vA05~JVGl#)rkPvTaJGC2@WK8&E(94vk3Z@Onv&4
zH39gPW2+>ExllpakPz)<Q6y>L;M;FUfD-Mn@_U!K(TR<e>q=>2$WO0vT)>L}<#Qg5
zKZkjc-bcxn+!k?kx%u=^!5sp;OOs7Ea_2))A}=rUF-W4<-_l1UYYFhCMu5MXOaNWp
zhV|l;QmCV9#M6>W2@L5Bj#pO*qD~p9u;M~#w7dP?cHz7dbk1iPsKg5++b`x6VHC0m
zvX3dZ^(nyxvJX0hPa?>)J-#czMGmo_U(v}ttd~XgeWTtFqR2+Dpzi&997+kF66j}A
zfd|f~TusZw(Bv_^tJ*(2(!G9VJhM{;j=QHRNY;v@km`Szi)0i~nQE~{e2FS7ET^2m
z(JX-~8$S|rbQDp<*m>T|#cD9?F-n`?C5gV~J@M>hBcS7ECpRn_)xl0FEz7P?3Q^#a
z<bDMZ(6svH(cU!;P_)13@u*W8wRE}ao+%)pj+^z(x3#n&zD$0*w^|0_6w6nn5CLh8
zx<xr8XoK<3^$OibvWUUW+N!dMfbLOqi?+|{fGuD2VxGAinnHQh9f1U-_B`r~%yB(1
z;bg7k9F;><`to&6qy$tbw487+Ump_d=9)=P;81SZzUXGF0=iFk-RZ$15xm6*WeXqS
z(6g(T&ruu7BO|V<DA$JoN$g~OkuPyby!+$o86O<_N$*xw#%Tb8Eyv$_#^TVE%6auX
zYgu$D*pZ1L&Hzr7^u$f5;Ly3i)}m~BY4kMt5^3hB0nAH~Xd8bxtOx1!g6#qc#Lyxt
z`c=dbX5I3hhLgyl7)?>?ZlV|(U{9fCGc$yR5po?yDOu$C{6v0DtuP|sqZ?H13?U=>
z^t&u+8N_T9bK#T{KkA&gd4I^<5MH0`ZLd8%Zz9lTH)oj(?OUc=+>kQ_?5@yH?|w<7
zx;#@l%Epd{Pupw!+cbd8zaeklr%Iq-g_)eM4VjSxE;lKt+yD%Ds;0b;i=*L9Q!yVC
zT68g}<_4+10Vp!pu8fd~A$~<>@1qJ7s4=$A`Vp4_6c)1=zxynLR{SN_BK{s=58lbf
zeX0bA$DNQem={8dcH2B(*|#uj<&UrP9RZ4mOB8jZ1yBY<JU*~&6?+%Kd)<AB2;GE-
z_LnsHknzg-vByUiu_6E2tB+-gaDVZ$oi7s)x;AsYg4g#iw)snPpZ2^yq{p^?(xB%;
zKgrv;4R8FxyxsNZd@}VQt9AR`8^uGu?EQY=CqItec&H-ZH>eA(nUU<#VQffmcO?0e
z)^F@%OUzk*VO?m<T58N)W<h7GbSMhX{l+X=MzcP6=)mhj-wUAv%!j<>{4EtQj-AfB
z(=h&C8|vumS}1ZEPzDhv5~=hDlaC;o?IzKNNbIe~ogg~YH8@{#Dt-zJJQI|jV6O$V
z)|<gfF*Hc;ydiU@?F<%TFE&N{P7|VPo}T#KM}-V=7pq!s%wtK?cqMg4O*j_BaL>z^
z5_Pj!J$MkZgh>+WhW9RLfE4y(I7O8LolR#scg|`BOO8${H1Ac15ArM`ek$bXz@8(E
z-*^qXzc@8WW~2`0!QB|oc`{V_!bjB7Y6E+H@=FOvsTz1NZM_pfq^SAbnQoTgP0U9#
z-9A8C4R|a*d^R;BMY?H5cFpg$v6t6>1np<3LhbPlezZ=4ltdhqHz@Wnk-V_X8Ua<X
zeP`><+)RSL?I~$dTs^=Hf(~k5K34%PcRMORj0E}b&dqR=lcLBP*%KvVD!{=Vpf2%~
z1a)qf{d(g}hBkAJTmBX*L+_(!<Nq;`B9V82|B-zsM>%)aWbCw*;aS(iQa(3QRI%$}
zmUo;IC77@Uk+dkmYTsOzQx7S^NFx(Y&rl&LSH<fTu1aw9t&I(MlA$KN@KdoDhxuk&
z>%F-{0Etm+zwaF6=wSvAtL_at<Sh~Y@9|Rt<gI=Bacqnnbt?Jqb6;gZEH!Eug7pco
zogB90{euE&?nS?JPGv$~1WJXPHbqFd&0@yTONrdo+~$HVvLM>E*amf+BK*|Oiw_{9
zM%2`7&mD>n`2)6Wv`-Wu+tH(k)`|vIn}F_B3U<_Ym4bzVS^@g8rofy!T2y***Ja}h
z2TDoWSvQE62coVbQaMeJWTH$dsVTV->zw_kA#Qna)X%ct=3zu$?)~|FrQGPMGhXND
zXFTxov>UmRGov?&&t5-_;YBB{cF!n#<Dm+(Dv5l+f-GzX&Z%7IN8^2(QFrioICK2H
z&Cw66h!#iZm-<8y9ki{+BvIi3r`@3&xWI-mEs1Tt9%0nXr~PGR69+SN#yCq;4n(nR
z)tx3Rid@dz3(Y@_zdKR4rd`R2A`cc*X1vAFeECobzX~3%agCd~TX3V$e*8z<ui{AK
zik2Hb3J<Lp1<UKVc~Cf|quQRjB+B7$rV!c0L%GnZ>Fzf^MDMWfWmzGGtU3>ly-b$}
zqtJs~!%qUJ&cDCE@~8|-m7bZb@>2l6YZP&E^+Jcf6;^Y1N*2AWEy~KetO$o60D0{d
z5p+!XpKSJB9P-<|Heh<laqZ$;g8QkW=o*e8Sx;Ub>9XAot`ks#g4z06p08pk__L^6
z_g4jEG^3g7PofNjBn|Azo;ZSp&#x~@5s=I`tZRZ=1<q(iIP>U8BF^ho9k==kNUv~|
z`>%>B^eHo%JBLc4zP|~)Ay<^pJYkNEEJh9bF0(#o{UnV73Y*~3iW2Hki6WKQP=`2w
z2AZiU8FZ%lYF611Wi(=Utl8nVCbV^(mU&JihoqnJpWVNpjFu?1PFz&bhP5%}7IhXJ
zN_U*T<>so425QW!cK_&r)|yU<*~THipV&rT=T=64PaO@g&eenDUY4J(CHTYmU^Byq
zN@!CuiDA!y2razks~NiTXlCvgS=%=PdZC+kPUi+d=kZhnsRVg6pb|iT>Y*Z9)o=QF
zPs;#OPyQYp%#lawU(KE`O3I@%-~Q<f9rEkWWewYgV0qNMm)pMNBZt!OGOCvP7(((2
zmyZjTJSuJ38F~{ejjSo#Cz3l2VSt%~s{RxnRcqM@Y`aPzF10hVQ#?k{kSqH<HVB8@
zc0aZLcU%;8so8E7>l(pA5sjsbog7k5%&RJYA%J2CCBI6EMzF}(J@Je|7QO#*G{%>j
z8_iICjTDzW+^5<rIU`pZ<<5G3cA8>Ev9a!j!pnxR6O3=*5RpPNT#2e*KG2~*<lR?|
zUmHSN)zqt$1PK)KzNwU^l?(|C1;=ThFa*cHCtT?NiJ?UUAMQbuP3#Nz%*weL1DLdY
zIpF3him?7F@^{Z>u+W*1=_fZ0!0(Q^V$Ew|WR-NxC7!1f%e14XW@az|OWz068*c<q
zrB`&2uy;LCZg1|EXBvQhlCAr62QSjId~3*EJVe~}u8K&M03b54cod3rBeHyYjZFDT
zqRrR6(WUc5P!wQ2srQlt;eO!lP5Ebu&;JR5e6&9N;;E|tZqJ6waqsaD*cXU+#c@W~
z*LpC0;g;vVCJS=XK@I^o7m0f&I(W-2T`)N9!u#wg1InKFakeR0Bzhcte6K>O3zc`=
z3!}tnQTOMdF8uxi(Mii`{D<D*{H54me~yw0;md3a)U)S_KS^JxZiQ(>=ROPRsvbGI
z?{&G4|HmxR!Zm8=X1x}a<W~<leI-F0H;W3a3;z-W8zdRnnY5tIn<TuCu!lwa^x0oK
zGeu0b&CvHds|gKF?<y*swlMJoPtEuH6GT%!&Izqg8eqyXS++*9fw>#ipX$l{O+033
zLZ;590kZNRMecK~Vqt!#v!5OtCFVcNBNe!;4)uHZ8oql=*nPT{FBIZ~#IjIZ+u}Yo
zXkgbd{Zl%J&D^zS_nGP?;sry4$_&+j%Fl^-ZebdmtlRnOJ>NzAXGL-S;Jqpk9Y?BT
zOaEZZ<?Aua8tp{OVvC%!;;InkETuiN@*9&5y4;ZepqWVdZ|6Z#x(cLfIA^3iAH`z!
zHDB^8ej#@A1$}5>SAk!&Lcd0j4PmvVXY)H!D~VoAA!X5zlwoBs{J07EFYKRl>z%tE
z?}%|&*G3DQGBBQ1n9nlr#hjVHrWHD-5XI?LI3iP(fZZj|=__Lo208;z_sSBmt#;|e
zcwr@Qd-<Muj@X4Y)DIeYx)xw5p$}r3-w=RyF+145vja<fd@j6-tqhYgllH)C5uj{*
zYBi;z9aG5Oo<7P`gB9+$W~wDC0@Lb$^*cZR!}KGIqjdu7G2;cdru`ZP5Vp9``v_~p
z?iOBlozwk_`To$bzc(ijls~OzxP;p<3IV%^MwH*NwIYS>QW1H0S*6FSKhugO?N=1C
zcei33M6p>LM?5_27+NOhX~X=~KKPLjv||Jx)@Gx09JF<+>j&qwVT-le9lr)Tv8<;1
zkIxUuf&D><N=W2?SnasVqp_84>>5*dMxvA)7;_oB+d8&msukU-;ZnU=>!r#2Z-QmP
zH#adQS)c>ctV(8poBi0dgp|kQCK(7D>g78@-H8bVZx%1?4PeZY(J^wuG9c(U@p_xD
z3k%#~d7Arf7!!COROxU-8WKL{^_8FM#uR72eVqF-itWs*IqeQef!E-=m_>aLwyq#O
zW$N}Di_{EtCNq$NkJ@2Htd6~yLI(FK8G#8*^O;eo^&3fG;0$i07w^ZYJ8x1bAN;}Y
z1n+xvb4$V`<&CvpA_G{7rD?Ap%QPkvpG<n~jsygh5^}$t9Kvo_iAveo&tQUFQU$mJ
zafrPyrPuaj1mg?8=d;u`hjE36CX8JZ2eI~yjsFbCFc)I7!^q=BZ2PUc+`|nq*t0q{
z=iKlc6Jc{S_;hR;QyaS1B!5i|N^A|O$^$1b8b{%w&VMTytECsAYEKlh*H;oqOeZmg
z@^Bul|JE=W#(+reI8k^fV%OedIgRlg)9>r)-M}_qRVtKmh{E*e4@b@?%wW2=&n*dX
zZ(;p2SB!P@Mc^afs81l>JeI{EKFs}O2a|sLa_O&*2>d%YyX?`th>7_xrChPu$4E~;
zY5iI#3{U;ngSC8?F^lBI;^W06h$;_r`!p>CFZZTjH*&3FtBh~-2M#^ZG0m7=Mo|cc
zrNwo=EU#ft@;hz3v?$QeW&iwdw*=w#0QCjlgAGjKd#Lf;5h|pyQC1r~AOP*`^_}X*
zTUelL8|_3Q4We(0F*Y(10M9!*;et&&Sl`aq*H+y0NZZ_-?{PUl%+~wmT}ar+0;`>E
zzWioHsXG~uIQ95J_X;(0Z956t2op^u++;yo-ec0UoqVvn_f0}Fh77GeexbLb%!bS}
zQf1$V@qt(19rI2P3N#mE!1{xW1ARJGKK4wH57tCt@rj{S$jYB1SyG-0WjOty$>ZgN
zxIdL0iA^+Ux6aP=Stt*B@Iy{8lamkpqcBx}8+t^dNAy}G=SSPOPAU3p@PRswtvsJ7
z6N258r=zWcNPtqnL+v&nTxFJPTzSTV<mMZSq5?(GiF23dGwAriBI`r%8*4Tc<#1o7
zo=*%-T^Lc@YvYID{epB#We)VMTnOhpFOE#J>?%q}1mJpkLad1a7b=yF-#RrViOR{Y
zL^xOoLE!DubJwGIkbcg`^d=e^G%Iz4DTGx7ghE!+%r^Ouvbg4mm6aS4o;e~$t0xNe
zYZo<Ny%a=BzGp0oEAfZ^E_WxeR1CIsC+!T3MbN$cM^DHN714^MPS%eI3AnoFACui7
ziu#$mRudKoXuIl(5Jia;<X$R}<hw48didn3t%=HLNL=hAot-RDJ<1%}(2zt44XsHM
zcU6#0*W;h#m+-LjM{ORXl}0<-2TXilR8i7#YArSf0%#e2vKc<~tLn9}-m?R0$hqEI
zE=)ohsFgmYm^8~F4X;_aUZ;*itIuc*Myi7D?6+rnxp?&3rq6K4RRhfh?EAkI(t!5u
zC^8Rs1;jINv@ri#14W;j`e?tX1<bFe`l$~N-y;_GWh7byS>3QB`81{r$LKX>mfsOj
z<>2=VcPG?Q9b<D>?;sHdVs4q?wUtm+vTNj<FKX!i6Q0x3t_E<kM}X~avJ&!mW851k
zu8J%)b0(e34Iw@9LdR^S5>oslqTIxyjQo07FI9{i0l5TGFEdXGt<c79t(YjH)^SED
z*B)aqY0MNRwNpY7KPW8IR%FrnfI08(XcIWQ=kmUziGcbpu8x`qN}#9+?7QTw379vX
zo1vg0poZf0<=H(!WF9~zq{3(l{<I>gm+%T`=w7i|Sv@;yAHF;=ykr8B9pR$2<alHv
z9&SC)K#5lA{?a67n}8pmGK$TYMGf>Ll5<QGSfg=GvX_hrxGlv}9Fvts-+12sN&Rn$
zC?7>~JT=J}oc=D@QD;dY_oS2L_4?#+#k+A=Y{>{FpY{t$@`$1ESF;ZMCG;TB*QP9G
zYy^hdA<YcN!iYMk@kS6OE5uY%uslgM1oJeCl!ga<C~n*1gs&w#4BCfpnlBo_$*%73
z34Shgx7AwFe3%152Hrb(SQ>zW^h3s!f2`<7A}%p)kP~zai_bp&1VD1{EiKN10U3vz
zHF)@Q!Q*0$h;$hMt;O3Ba+Z{+blj0TsgMiU+RC^Zj}XC`(#Y=U%pO*}Y)U^?!Udfp
zGyTlA`k=iUA8L4M1xs1Uv9e6z0{z5Io4P<fki4ot`O;t%`*XYuRd{fL(8!HUho`#W
zJ>$5t%~V4CVc&NmTAmArD-SBoyLEu}Smky@@1gf-pWnm%<Ah>Mc{_Q29T?rrUoYxk
zBC^&0^qXkrgnZ8B_NoAFV2k6|o{IiQymW2vGIb#*oI9V{H}qW#oC>VBE=TVXX<H?q
zL}YTpMmFo!LM1I&w7*Ela*Y&JKVV(LuQ(yDLzmY#M-$5UFSE!mkwY^<Hgf1IC+wZu
zCAq_^33K5^g|}6ypqPV!o#lWNj(Ey5Jx|vFN3o3$-z;f>sq6KF6e}(uHr&m07S(_W
z_y0D#&FH{oaL9D4iVMbG#WZKUSBF_ayT{+88K9RmxG>6q8-m~Y<IK&}!I!;0g<^vd
zev(&PS&wl;@%hB#et*<pdxm6Fvw|61!@W<rXYc_2uJS9Pdus58H-oFZiUo2We_zVI
zzzbVFThd9IYQRr-$CWXI6|UcWerLpm4-)ND)mRo(!B7oRG2Uc@Mp`F)uLnOU+jEl5
z6sm%b{Y25kd3Fd2Yc-LN6M&1qNd@m+QiT^emB~@o9KdYf!{J^h2x$(tgf1AW0zJCC
zo@&MkZ#YkmcCZTrJN0cdaRF8M(W0}FZpH;o6G69|^+n*x#>Bh{i7H5STM5+Ja6_VG
zMRN7N2%KSk6BE0r0@`Ok?os*jz>pPH(#|(g;AwwBmo=jTkFd{pu>@WqR&@o$J`;nS
zP1+o%6&1L3HP0*p;{(x;8rp1!9w7bUKZ*y`s<38ZqoBXf4=WK5)u|jMV6<mBlLn^>
zM+OXng^mispVvOg?jQ*VCq#y_T~uMFpWiq<R|ssAu<3dkDae%DzAccg3g?sV#7mHi
zKt20k4Sg1Akh7<3$E~VDHfrx&uMmOnIX+^SSEb>m;<W?ElWMT|$DsH{uqez}`P7HD
z$v{Tr@_VvYH89)BvFK6~0~95AWZ{`Cj0<lrs@bW->q7qN{zWkeY4{SfdRh+btiv0N
z=hR{3?~$vOZ^c38^zxD|2@XQcthFkWHQ<l#nw^xV1lXUkOU${8gS7iqhLV<=uvheq
zA&OTLzU~UIdadH%Qa*Dgo<j@z_&W9%zDUAT2mVe!H9Sa-z5IRgj~2{POx8KNNkJsr
zlj3y?JlvvD^VzJ`hQ5T8caoN+phWO0iG&Is@@SQ>;GgS&OjgJh??7qra(Ps$KaGPM
zv0HH)H*_IxmUSEJk%rOr3xCOdaS)p}SvBCG2c%w8EsYW~!19Z8V4_?O8Xo<Omy^{8
z%2PXZ^rvM&B*v{zwpSKx$ub`(E$G9MyN_Gn1j&Gd90S|NHyPNQB~cB_A;R77#?#)u
zGGIt?j#oNK8a%Jpw8aSn*xgQ_|7IcseEJsxSU?I$8S+}&T>*aY56ttC%K&@C2Xmet
z3AibDZOk<VV5%VWQrHV=DEPBtKy(&|B-2{bTh##16eB!ZWu)QMj+#i;uqbHJ(~8b^
z0ra-?4WuVaf$oV^hXr>L2=%Uv{XGak7Q*vudrlH+f5oxNEC_;<j@w^`K7juQ8n%Lz
zB|+lLQ9_{xKSWMFy6y87pl5wVt=dNduG>*=8-L&d+nl`$jRF9ya+u>|ia1nYUgLXi
zTtE}_cx*TlAWgk_U93h7vQ%|naoBJ`37t!0uQdQIe@t@zs3=g`RuVNL*+5XgL_M7k
zz{a(PBb7oFCS7(Sel4-U_BzKW)+!<t^7I|7;Y8rMN1dk$kr~X*>iS1Dh_KpN<62!J
z1P5L9mvT87!FAuxccDlh@=NEwvkD19bIi|iCl`9SwcTW)FRTv*3%yeD&-o#2U3a~O
zkq)BBujSl%pa*!nkT3sK_#o{}wRgE7Ey#Ux>NDKdg(n)ZHc{g|pt02K+#O8=?~sPw
zGf!PO!WKE3SHulvM@r(vHE1Bk@l{M>mk#V%Sen^9;eu7+t4RimH1Hp1K+ueV4k(z5
zeA!Rpgn;#rw;#FFK;=DmM#~ayusUnbgi1Johm+yT>2?~hr=i*=N@~Nj{&bo196Jot
zM|HIM)52R}x3l;REr4NGs&fYHka;thm0OJtsPbK={15xWHxicQKCl5DroBa!qz8s|
zjvvP#X+mM_olY_xHfTNKp{}gW0F=F7IoQ}VA)x#sztAu%R1Aoo&A!M8*5NGz|57wy
z*|B=CIGq*96}YEXo0;I=Bz=sAhz5Kn-wl}cXNAq8e~$%3Szw)V@fBmSI_wMQn{l3G
z1qw~sWXgFKxV0i&R|e`((&uX!ez*>~i(}X~R*2&KU3=khPCqTw?{PnX71VK`H|~5q
zyl;BMTErDKkZ}1OP@TpK1-JK1e!ORgCzxn~8jl)y<on6K=wpS__3}LCS`J{OVov#u
zR3UBGsdXOD2DQvdS*wS9kIQy+n!KP24TY;GT$9;=tdrkMf{7bWdZsVDkyM46R?5CU
zR(4oCmLqRv!vjjUNy%URRyoW!!N@3=9Z1*QBKhC&g6g`r$JtjZaI7x3Cd-rqxbiU<
z4laK1M?41J!78A~_St1?p98LDdpvlNA^=wv7Ii$2s({v5U6E@GC%7>U?(g7)z>+o1
zidjwtRt#&XXAXTrKHc#H^-p1V<r!^^<4^%F4bhy8Y;M@RFaJ;Gy9mTqXWV~6s{)pc
z*Tez~c%TdlPW&qog|N(*Udr?;u$s^KO7|--{0{&C|Njh^cR1Bw9LLS<?3v7Kuj^XZ
z{JyVMMv8`#G8+;<v@;5&jHIDLh|D4*lnPg5L_;AXGa6J@Mn!)2-}9Vvp3ixn&-uJw
z?{#?zdrEQ?uo$=cg-J>ea(tp3)eBPi?VQABoS_JFK1vF!kseF~%6IQEk%l{8g}-nH
z3E!jkdD-~rVb!_y`R=6kXh?VQw9ZySG2a!#x0!lK*;5~vuqcC@{$CU}7AV6a_N4jU
zA9}c}o^V;qNDd{xPmZw^t3YmN-E8hAeK@H-QrY!e4(Dt;N-B#~F{NB0d5f+Ob0x*V
zUvznVOM5f7l&yw@P+yOKwgzxt7yHsRK>=2N(_8D})X^~cV}@tM07U85y^*^V@i6UD
zsn1>w<ZmgciA^*_dBLTF0?H(?kySljh--qcb=%EnPDb#%S$N%giiCvMhZT>NY9c@E
zyRD-f73)dAqgcw7@O>%f^e=fWw0`DTr_F4Pcmdz`!9&WJ@o5v~*sq1Koh`OEei}m}
zcH23!m<kBiufK#(XkkN;-<`QJ6ZC$)L)R!(!5_6v*ORtrp{jo)<@b;&4*y-9V>M94
z^W^66fGJHp5U8_x+-C+A^U!&bELFH~PVPMEq6zVr>>TZH%we%maz<cA6~d99=L=73
zVEXU&qU34|&}A2YYAUFKYIdW-&R-ql4<`f8UnOufgvrvGq6R;{r1L-2)bJ(h6=$V7
z@FkQcXd<VE2cfb8v|1G;W=$R)iU3lco(#J-sfw#~563&Y$`H#EuUTvWdRu$`vL&mc
zh3kxOd?E?98$0$lE&+jRFHUL6sN%yj!k2Ye0Ro<t!G+Q^yu6$}csW)Dk1a2)9VN>{
zLMrfIz77pFMO*&__bDSpfbB?xm@HBZVhfxpjP(sO%4H(Tu;R@aAD>zW9j>hlWlA)-
zI=vfBGE+jw`m&p0%Mvg%5#FxLL&ILlgZ&qFkZ{}6?1|Y1G5mLF_V}?eV4{9sB>w?L
zI5++EO8g*<W<%dJ%ZGs7C!2$(LKM(DY4hkznIOz&4n}&O0=CU<Pj3&C2lti-6t^ON
zcxM<rJ4Xc+rXR5s#meD?ZMReWMPAG{%^1au5vYr(JrPfpMQ-}pas3%C?54e8<=jFb
zyZQCE<iPbvOI$v=ZGZ!r8yD(UD=qNynfmR4>UA)+vmYZY*I@VzH7{Jk0?LcziLUih
z7%%M%4HIF<o)ogT;VE-`I{UO!AYB5<=RJn~H?qMg|HD*#uNj`4Z4=#LERN8dVN!42
zv0|95F!+{<8OBymZmyXV#omQi?-UDJ5qXmHj&ZsvHjEqWZEY99LR_HUNIfgW+U^Xl
zV=+bO^H`_oMqvmqJ6uZ@VZ&molUJjk3CbHq#;^4Wp^QaokS~=Dcco&5Q#*}uyz1(j
z-D`!g^;kZyq9Z#te!8gs!_pZ0Rs&MmJOpw1%NflPr8T&Fc`RV1f{K5KB5G3G1Ta|o
z`j)#Q2R`)$yRNEJ@$2+08_}%-ka*ch&Z2SRpl7CmT&@xNuE-pG^_3smTVn2{MsT5R
zHZmes(FkJl<(K*P@WVLHP=C3H8!PLz&-&yUf+a(%bDoJGg-tD5YFl{W?O$=@gO(w>
z;)nNFzgvr(+*f3oF+N-{$mSM$Vt_qCv6pM!uEkxS4i5KZeuSUZth914z-aXEs5`&c
zqT!3nm|wX7^xhXo-W|~g&AqzT+>syL|2V}a3I(ykr7-kgxIT7g<`SjN{1}x{{`9v@
z2sWe-I@2=xxSBWNUuYlz&)cQlv2DT_l8U7rZ_-0`cHSY6Gy&LI2d!RR6v3MS?@o`S
zjCn|<$B&5!VpCS!Yk4CvRORRBNvP>zW%}J~i)=x-PB>C5<Hd2OhCV1cPQj7Up85nU
zA^dVX6t(b60;AkQ=F<ffaQK(yGyfI>cWHi$`Y|aS`Zu!0_!tH2?>Q6?KNrU5v$|h%
zd8HAV8|<2IPeGg|h5JO72+}L$<d&W?`cz8NltrC_(u;qFM3O~uZozWj{%Bcr|9w=Z
zDnfzp7x5gn3^DxLQqSX8CWlWczMTTx6quDi={@^Q9Mj7YJ6;#b;~jbTk7iy9K92AX
z<xfjsN<kss>Y)M#%-fZN*HbWe%jkN5i4^hz1w)z|6k#v9T54%dfk9SLaa_tetngiV
zJMfVN^PHBEvjG(JdIhHV@vTR7Xktb5vJ$NCnA99Ep`iKpW;VfO8RWmZ<j60l0-w}R
z4*qO<urIb!h!K|qvE^^AthFk}@+3&t0`$OnKv%Z#yBy*V(8S|>)etM*lC?6ahuqMJ
z;p7$uN1ir|Z3<HdnPwjzepVlz*IEKD6)M2;WJPe|c@12c_kNq8VSvp>nOWYK6!GA=
zacb@<O<YP#RoD7qfMa2s5fV(o>E^2!sm@xE-E>v<MWZ1OMOxp?bWy_OUDkVnY}%;*
zyil=HY6Oe2!=bKP%1BZ&<1mlchL-F*jk_gO>`~qxmA0aczZYiCwGU|H^q^thr5a=O
z=R6V;uTz1`vipn0U)l&#9O%E%Z32%u9%mvz6?@fK-t@lIMrJO@y6kyV7%L`ChqJ07
zFwOj#*KTc041E}TB4Q5VhRBqC;cAeR-MX<qM+<WkjyoN-EFf8Yf$c}P8hC0lw(Kg<
zgb%NZXAqS@fV_rh5wAKXGK6kS`DuW^TklnYIN&7S?=3E^jtm=a-r{M-x$@@IZRde9
zWr?rFtm-&8W!AjeRuy*2Tv4At0hKMTUh5mwkapXat?IZk@<*GOhZyt!WTSGM({43P
z^>W;nx=eznE4$mCgEUYz@&r6yt0I2Fok>4k0j*tLQ5^|1{Fhr27$vKU17(9-ogc{I
z?xUqcC(~&Np|$+(a#6u`+coKO>Fc4n)2@-0M#JpJmj_7!%J@3TQ5q>Ag}olHIv!l0
zp<{o>?wlh^aEYJ3!qzN?<eZPa1->*yr_lFT`IDe?B4d);E{qd(o;}<3Y4|Khaw~9C
zMC~vCebOp|aO)Fwoo4XPyxjM7q>Ta^NyE0Hm3;Uab8k4e0<bvn*!3fWa~gy9(wf@1
z;78XS3iksFcD_(-k&}Zq``+nm@oNyP<6~qe2{ik<{5+{E1A&%*#c#i{V!^E~UoW13
z1NEhvl94ptEuHtU>Sczz_QuVTLl%(8iPaWzm4c18m${n*6K<WPeY~S<f#)3|<h1J&
z2=dyyaijM?LSk9tuWhtB^wt?zh|Y@P&A@7{)Y3BHJ{=y~)MW+>_4A_BL82hkKHq<7
zwoI({S8kP4H-l<;Do3xN2+S)7cO4R6COnIO>Ip}hBAQNmG|(voajp%LBf-lA`L%1M
zTE7YWS=nVSRSRM)C3sB8c!jucTYJBW%HW9ojc(C80SF!q;vRJWM-*!bAJs`UMrXCT
z=JOVQ^f$EXEWcSL<~N9Ky}n9C&p%n?ZClo2!fR*7*9ImiFMk#n_oG5^Y{`fu#D@c_
zjY<-=%m@iTZ}Ya>2w{Bw7rl6R@pw%Hk@%hkeNy9G?>8C&ySPKFjCsIfzA$CY!iN3-
z(rw6fhRB?Ho+y*T4R33q2mw2G3|{{>v}A0Eh!1P`A5-N9i%aaW==?SKn^BxXR2x9D
zKlK~iI2Uf&ZQszfo)hmsc*jba8{m=XsZ+1oxj>hEme*Fq#qii5ubdb9*eYheMskn~
zTGyOn^S1Lq(j+!*#YG>5tLHi+#JN#M{SvcQiVv3en$kCo>){XaZ_D@zZjc=B7_l#}
zMa!|wZw+C3_|@3y6!niAH#gjhn~V^^PO6GmiliQ<FPhBv-s6GUh=?l36+x5*N*4(}
zqaeR0G5%Q?FW8Sv{3)*#!qe&34Pm|%T+F#^VRe)bgnFdw-k-v#H%Yxm6{eu4AaShi
z%39dm?jc2+i6TMC!1-Z|E^Kbfl+1PU<GcXdwe&18hTlpS9zL%NVaw#LEq4SUmq?~5
z$V%X%z}}%HJ6-s)EA(|95`@83ds;}9BzE($Rk4Wc!okozu*yydfmeohv>#;n8#Q@i
z(+@JveJd&uv=BzlQT;j-qxE>}E_k{66&Y*EA3d&Y6oH?PYh###EMmJHv@EO15G^Xm
z8}Jjwkf40gv1B<kulXCwT1G~7!LG)nY%$dHu&!zp$fM%VaaZFiGImUiHmS{t!*y_~
ze6~daNBKl=5HHDiZ*tatdAB5DzqOWrUr<EbO0aIyPclBoT$flsAO*rULa~CZ1h-Ah
z(sd+VxLz%EaX2mw075{$zx|?Z*5*f*VQ!zk7!s(9%;5`c-O4h!XsxdHh~ddhLKzLa
zUg;uuD4H7aLl(bJ+#nz3RYQA%>jeob3T#P1>>6W?|E_)HTFy>&xW%@!8FWx^WlhzH
zQ=dGHGH%lo(>1WHBUG|<QV;A(_jhgipaAtYPajIBCNvLr#5<bm<5IDa>B}BPRIt>N
zj{ed@j33=6QNjSNON&x<{Um5J`v~jKYojp5<hiGSA?_Q+*j)Lj1OZY=?a6i>oI5;Q
ze^TBE#vW0RSw1Mkv3vXPc_T8OP~{E>+EHOOX2^{u6;v$UxtVo{jP1KFSl&2ijBIYt
z*`*v+7)Ta`g`XlLc{Xcx@|6iL4yWzA7@&q6o|3zXo@C5Km5PhYGW@f0piNUs9aH0c
zu{`U^P^T;hB?Xyd$BKKqQ?5GpzbrA2+^vIzZ!HBs7&(PA!@lqx7vuc|wWU^B8|*cb
zEY7n8b_r^v1z2g|ThqEx=PXS`-K{bRy$F0Z^h{ZB(m;dIGnTiV>iAvDl<{Q^4J~eI
zGKK0IkeK!-4l%f){rz1UZ!isgnzwYEyVc=zRP2vH27?0y-zEYYX~=qM@8Y&q9mAU}
z92~cku;+4Z&+Szjb~p-+*5;^T|MJ<>)9eahAyvfNC|DwPfF9k;xK}2IS@=<;EVx70
zO37(i;+RcGsLTfy1ZNc0wW_Vd#vF~~t@4&A_&XBzqCpwcZJP|K(&D)AQ?@Cd#S(vb
zmr4TCl;EHq=+%5k7^FJ`ZnE!ah+CbeyznJKf2^mcSxx}MM??4nuF=r0KM-uHtcW=u
z3r(pD+{iYqAKGb0L*m6~t%h-V=q(MgU(I9W1>35YTMGco*na1{0y%tLOiwVr#SG^s
zEOsgBz)97Pj_%Jgj2!1I{o(d9k?hD_90)+be@kxiHEG1PK7Hi%-y*TJR%tY=o<Nm(
zVu9BlDF`h-q=`q)5uYD+_gOFzcodVFdv&7(?myvu`?_$Nu-$N(^Sy-yUVkA=k#>q9
z(Kz8&>A4?7`;=S%T!cB6%M2+amqf5MK-Zdem?Ub7?xnq`H^Z`&bnmqZA$U2D$W-i~
zAOcu>ii9}LaM>duQ7=#sQP$oH+^G}9cdOiko-U?%+4rPWP(lF3EJhCNA5Ic|d54FX
zvP>Wr@IH<8H6K2?q>gi4_(AAAHrp=$%NP!wU5EaZ^I*6({Cv>t6!CT<tf<Su822{6
z5sdEV!hGu5{=<i7h;2!+GV%pfBrD9+cUp0xV^-rSv(OwNr#4c#%t=N668}BkuWOKY
zW4HhHkzYjGU-G}*fkw!_#rI%yBRiHnsjezr3xvPWy=~+kLumfp(LC14hL(deDzCpT
z5h4}R`u?_t;C$97ZYRcuO3zjSZ>hh;lmt)9>SF`+IdGL)oM%Oj#}jVCZ-pq{>A^Cl
zV}MJR@0Pk{SdnM{PlUUBl^8tP=_PnyAI$5GZk!rs!B0hV73ea<aDFKMyt+QjOj)A8
zHnZUJ2w67&A`9#%*gGvB=z&-8^%_eC7h|qbtQTil(Gb+yu*Fah=L|&!n3-A8%69ka
zh7fkhGhHfs_M8IF(NXW^&8(RJ8Y}XTlLMwt+=ElMQt<n!<brP<E7DF8@y*qoa5xg8
z%Kl9k6_L)34Nh!0c-6l@iP4`PzAN@}(Ym-Q_>;D{!iM=N*Ye0?yiiyaYLigV#eU)C
zo8(vQ;P|(tb1`NuX!rj+qufNsu3L)b)6dr6Yr_t+dJh56FJ-n|`i~6S<hu3juQ{+o
zcPKiL!Ml=bzR)ZgG9D#;&N|1;g&*@gW=9!0)ql`fH7;KVuZwt2w(aD`0!`eY!%PHM
zJXa$IWpvPWIiTx!7Y{C8<P1-EA_^uwFV9^$+6bxLmf&%U53cP79L3wk@j}5b)z(-W
zPh>qeU$f;$QTWJCZ2?IX`cU08hP0r~Z_1OG$*9lbkH^fU6rAiL@?PE4!bkhOGqdG_
zklTIbXu*Uu91rwpnC;Vo+y1VpeS<<cy?xHJhEEo=tm2&Ac3OD7dC|d0Q3Qffnqm_7
z<*;*~h_K5>Er{hboWBw!idvuW0>e>xEZSs_H~MJd_qUzIxfL;pD3jOlX)5C0S?<J~
zOfA@_oeQ64_#PV7x+X4=@Sxr|tYuXT8@{I&1ldVpw(oY*iC;=6ugt3Qxu}h_10A}i
z>!h*N@n6b?|5VWI$N6!=TnEKw+jg#U$-pcr#`XKWDk$%sok|lT<9P)C<Q{H0d>4Zw
zEm|E{3+o$0vdEC;+B4iNEsv}7{3ogfHF2-*t$y1kUA$Qm+1+5G0OQXQKC>xWc)t5u
zZHXiWe#)md>Ut}p%3%CTr;rZP{djdBuhB!P<1THzBofXw=~lg<lF_y9KuwFNK3GF9
zbBWX|;YH@YD{ng){O-Om+hl8ilu<1w>a;R8%^QEo-Jy$bt?#dFyk&@qyp#e-2~|ud
zty{BPrHh7{Q9f%9Dzdge$lXd&!_CC2jtM_?acR_?c%5jBKp_*eCL?v6-B((3dx63G
znH8R2DyBGkD`ufXP6I;`o?~}gbusw)s|>x>4DSwL^1-+UUPvBrUG&k#^7_8f(|#6k
zvi0xikI+PZONm85BcuK!syUi}32d;jDoG#L#2V&4w}M_BjK%#4(y0al3y<_hi)bNm
zLsgu8qZY!dpL51|(I9tZ)A3;rErbO5@2cLZ0nbgzgPUh)_%ZhWC8?I-0fS8ApYN-}
zY~ry_kgp|{ht2qeshYTveEGUyw-QVo9+90MTf&g<jA6}54b*}u`r)(!rVJbE{!Ln9
z%Enw{%XxJO_r~Aw5|P6l1NCB4CM(1kFqM=u^01rD2jRYADKy_rW!GA?gm-<*Pj*Jm
z(lp3a;kz!1<JuqO1UngA%k0XNs8L4L^H0lc^8(m1daJNA)e^_a(YFUSF#Kt&k=qYC
z7uuJqp5EVViK1xT-?Pn%m>sQT?W<-1bL!gD)eAIq$KSNJV&tZ8U4gIv<@_e%_ZEG9
z#o!%059T&B$zd|};`1fO+*Yt3f|)uE&1MnD(sN{xQ+{ySDt4HdT*<!M{0wL+jeAD!
zU5AP>pAU_Z&k6aXc`;d=04aB7zC#pAkjC=Ocg)c1_=X26zdj=n-yBBSTPcQw#$w$?
z)~>p7g~sy}!xm7?9O<;%CxW7l|2RB|fja)e6T4?PEwJ^=B6qhHW4=)DTrv7PTxY+N
z^pele9OPq*@Ao<jV712~|M$<4x<>xFV*>}xP`dMLY5>FUkG#6gZ__$b*Db^|bT7*k
zTTV0{d^yPlU!?%<)9u4`md720E)1I>+x4%0wGaok8Fy?B_ZY0Z!)+9^N67?TVnc_w
z#<3yEHXWSktJ_HN>|+TsM(BX+bNx*$IJZ6Lh<8+1-ITebJ3*%+;#7C|lkH4k+Pt%<
zVDH;H4V^{9Zc!?#id>BS%~ptPub+3+R$tULhvrMi1sOratFm3e@(+=ax~dT&R8@E3
z-fbzlw}u$Ce7I}4Y>{Bv!ghPqS*I?tI!4h;-w;$q-?B52^TeoF`gX^+mBhUy+Zw5K
z1H{l@oxPktM~K~iFRN4af)F@<LP3_>0D5`e@Lo4d5d7BC!&+|%<L3tjZ9?@ibMknV
zSl2X>tyNA_2<RfNZ`>7hU|J8kc^3rq)20ZCD_vYwxBG}prM)A*etKvScIC8R`9Z`R
zD@1*JK12*^=I)UFOu>_yU%ZE3d?y6>UTj!CGD-;3=SxHPQ;_YgP7$1#B;4!m*S_N(
zCpydP1H2}5@j#yEu(;18Ar<u>Z^->GME`T`15bi=8UMtk^?}+Xp`2+a)3bYm&^Kz$
z3t1*3KWAg4HFc8M;aJHOsPKc>Hc)JTGLDRe<6|X(ag#*A=Sw9_tkcA+xq`5#>&O_W
z2=wWd{!S!oWH=AU%n)Pb(s_4J9oT(U3NiTcouF>~uPQ@sj;Oq}+b90AHexgq52^k6
zL2#P5e=_d;MSRcocr(SA2Z60~oz_-U1mE7k`xChfg!}myi(yP!2;Sl`ciMNF(1<La
z*GOF=u8D92YglUHqh&!qY-flCy|e!{RQ@59jJ}`z6U*@FjKr|j4YR~`o<AXNE6W6t
zxP4{%gE~}wAKX;)pCghI-u<jOu}V-j`wq!ysw3NqM>VDF7m=|&iJvaQjIC<7!ZTvj
z;CFNVo}~2)#I2)}!H*JH@O0+ql^b7FK_X6<JZ1EWJmqYqfeIUt*mJ~evnql=p8c&K
z{F@kctzi1~g&o%f=HGVLs9-s__QVB`zeKj@GUd-Z4tyFHo1^QgVE@m!_=>YD#EuZ(
zoSg4m@V6c<4lGkf(4}TR<K9)G0K6Q9#=Ni(j1>wtQU-6m_6aT{W(e2Tev_<Qi@$CA
zdBd8NaN^=4Z=Y-yw1ub(>DLP&s1JMr9!e<nDF`UnWz_de`F5$b5MmOY=3H2nAa%9x
ztnF8JbY5S6Ao4>PH=^pcop?w>V+9xaaVrP@_@*}9tP#anf#q($U=ogbzG45`%f-mC
zb-4-E;>dm2u$7x2p+%TA<gYX@qIh1EIgd$#eeXWb+cG4qQ_6DNadRz*l(A`JnlzFv
zyocWkk<jD+mANHP0J{p>ybr&Z!A=>G<N?P1y}}RQlNE$;-KFkG|7$sLe_v)xuqDCA
z<Lp*jx-d??nkZ3qR=`t#ZY!rm5~#zhV{Xx+@cpE7+jd3~P4sc!Eq_UnanGlu1c;;I
z)TM005+%@czCVt+rUXk3Zr0JWlE_J<{uYQ+!HaOU&lP)=;XO>EX4bBQ32W?*hiBBl
zuj={lpqC2lzuuCIQ;|UhQ+ka@f(D*I?)j%YRpi+9=9le}gJQwY0mpk<koA7zJ#MIu
zavA>fo1V#I|6s~%%?=$*MC)LilqPmf%X-agDS{^FIN$q+k+*;LiI(ruM%V2Pb~7a;
zR0Y2>xWz_+Oghy=J%WtGJ7fx}7Rr#1J3OAdOu?_`zU{@V6x<Ja@}Kd06&Q$a8szEG
zL!(1Up>C}n`a{bU?jK<AOX5=YhB$pZVzmipD>6WvHm&{CtU4Cb2EF^(4e)Mk<(O`Z
z5d_^2uzfhFiDWK)djoR=uw5Rt>ESZLRJ#22GqqZ9x$N1+N;1F!la}RnA2SG*`t{?p
zHs;u(duvMdp{zpMQ{HF+OUbPq_3w0WUaaK$ra?XIe}824V?4lgajgQ~lnkd1*OAl3
z6cm~{Yp%UZ!)AdORm;9)>^5?#sZ-Jg@n)Cst=pEEd1Ym}$BVJQWyt%#d)m;gd~Dz!
zXodb<mq`U3GA`OjPp!>V2d_t~$(VpO%CwW{N$EP^czDXX%2gS0-$jaY&sd|~#g57z
zqYX-EVQm?k0#;eyE&r;vMw8RW1y*@2)LHS2>Ex}0kn7*`anG$W@$Tr|f2TDt_RjK}
zOouSW25+%`&9H{S)uY{8v(?~j6-|E}#RZ3-j?TV2tf8N|$!>j~3eqE<a2t93AwsXO
zTPDp|LDWO}uT-)UczxfsiIKaB<-M6_3{O}gRLRY+CrlA8bf*ptp)YmUE*CnDOj!cY
zOll<j<RL0Re@e*wt~-<zG-K_>@Q1$39)is>c-r-G(7TnH?(qD&E#)l@CgI!qc6^aS
z(0U1(7x&oddrJ2U8-Rw+n-dQ{n~URkvaDOwVNSZgG4qcn4;lI}b<yr8<30M{mOh2s
zaMS1St$DLS6Bt<*AMno?Kqu$-HS_~Kbkh|2w_V!_9C#nxb><8Ymg>{EjaGT+iWjm+
zkL|U<qX)FpNA=ghxQ%qsU6+^MA{3+h;fOizSni+J^J9h-&msN8>v`!aBK&vRlg%)E
zApE~stv^KgxxxOak34h(CzFSp>P>M&>#X?Xp;_X^US*b`b3F8F`KIfmize7NrInES
z<1^8dXE{J7@zB$oBdUHGnc!$tU*LhIPQvlN&dQe-ZhF(w-MqT9#vuQszhbVrURSIT
zcf>o4n{FEYw*5*66$&HgpPeJR>Q0c@Pl?-d(<c?a{d%KDg|e-*r}E8Db)Et>t$7;U
zbh!a8&4r6b@LK4Zlq;RA>-%9+Xr;?dAMriOar37k;;E<kcE!xp4Yy2fTkFP6{~rJV
z|Njh^cQn=w6vyqo_uh~7;CbxrcZ~*RhA5d)+R9rgA%)PAh7pNEQlw#}-)$JBvO}qa
zGRw>!Z~xwN|G4LT@A-VrH>H#&xow*fEIB3SyZxFWPya|*+)>DdsV}%h7aI+s`Z<f`
zYqoh(PH@V8MV1@KzO7%hu{DI?$IgYGe;3JFb(ZVfpK~Ld-^(KcXaKL|npulqtdM-)
zN{J_Dd9dztebQzd15m7zS#My>fZY4ejc6a|#dPi3%0F-Q!Qp7@aDD<KZt_W~p1Q$@
zAteyB<f#wTeUF&#bub}UOHYB#Pkubd_p12JupR`e8T#~4SWy0Wsxy`fpi|Gcs=KH4
z;Q0GJ<h4jv?7g*=Dw`mP|D9cSxFD|wl0B@&Ltoi2Zzv-q?WhnY#qTZ%f2|Ai9Ru2B
zjvSb_ux6_sBaDXAHB)!@>w=w4ZES86CuX_3@P4@?f=qkv*GJ0f!da*N8`kaOMhsiz
zY56IN?|0^F?EXXt?@{j`>=L|q{Eq2WBRg??G!pl6>>3@00zF$TfAV4Bne2A6mlEhV
zKeD4>2OaKsuiGRTDuCte77@(8Qh0H<Rgtp}9sU%LJB}R^#LZPYK{uskaLmh+y_)0S
z{LY8qvScC5z4zc_-=Zv*O{Tnk@r4FktOl9ds)X@qWi$8QWqA}bQ2%_th6eX|5{L8F
zM9`GhKSdKz#EtgN$Ezx7;Kq_%y>+`7dZcsg(biW&N4b5;Pg`m5cJDij$&cdrE+bex
zBSaaORQLCNW~Ia2>%}g;?UJ~Kml7U)PX(8zU-a`C&_N>g_G}`9G^UBpjs94m;D2?~
zjt&3OVZ7g`^6v{7Y?A1Gnd6~`iy9k@C*IS6D?5W__?jHLGFEtOs#M1ZTc4&!nCn9C
zjpq}>HVU{e^YxdL3YzGe8Rh8sFPErmkHed76_J*%-<}pn#SJclp*kUY;PLbdTdtE5
zQkB?+D}HEUtSc|qb&5VTyf}P%pT9B|6sL4t($c{;!CH=ZCIk3ZcrA3_Q5B5Nh*~=3
zL&Lc9|2b}1F@TD@O9g5dD5xA4W4~3Oj#b~cw1$cr!Ii6oeQ=H{8a(q3e|n3Kp1-DU
z^Vu6i%z1?t+I=--&WttR{F{y%k3FMQubF^a_{#U61?uQfzRt@~Oc!JM^|x^SHHDGW
zE-^lrHL!0-alWFcE^-`|@(K?$2d|8ILey6i?TY1tyMNMgt<#$!rNaXH|LDq|<Dw$5
zw&x8QN5}ax_dJVrR`70lhi}v+D!#hBmG|-x4S!5ZW`z|Hkh!Oa`S>6e-7<dXT?)}b
zmw+Qalg9y;epfgO@o8a|obY9}i(07Nr>nY+*BWxpY`h!9poJyg9}*w$(?mYzZNIY5
zTZ2m9!Z6fOG1p!wX}_>K&Ms-&`%GJdxc`!L;5sV4DTDQ@*D3h4rR0h~VFStR=VJXc
zHL+$?`P4H`WxQryTH1Kf1_mE)`+ecH2AYyiRe`Yz$Sv}`jw{Xv=KEAUi(ac^r@pLI
zr-}?F%xEt?im`#A2XzIfbJeiQbZ5eNia6fXRA8_SwgE#Up}teQRMDR{+0z#&jMV%X
ziC2a;aLvK+m#Gv5w+-9n`#SRDHqo1p^8Q+bYwF<*@~@O}c1|g@<t+zNCtTtk3ax>E
zliNnI5G71WnyLx0WX9_L(ULzd)^OYI%8gAtis-gZFO+~4GU%C;;o&I&Cb<SjiEw$G
zU)T||@a8Wm8W|h0`4Yee?R>F4gEDyF;oE~Jah!a<aiH~#20*M{*y~*pQg~G<wM4(+
z7g?B<YZeqofVmZ`u^LSRpWZQa613?h4`+1=NmW>Z+Q=PGWgamsEHueGpW8|Hi+FZV
zjafoa>>%$UArZV;X~Fr;vXvbE*`!aUSORl-jl-0U5W2ez9@rGtMCy#4(7G020mhcm
zPj6%ipfJ<Ln@R#rWLf;2@1tCEcv&4DBWBBoe`oh7Uo~hUCHlEpYKP2#?Opzbw;9}6
z(%SEF(7T;X%TatXs&58o|4u)=YsHBzjr{x0<aLprx<Xo%v!-xg?Qlh;COgj6#b2pv
z`bvI()|%<pZ2~v`aHchT|KsYD1judwL2ee6lZn<hfk~F>o6HT&_;4UQ?I-h3a`$rS
z&%i6jka+5DebgZ)WQ$Io=m{AjlS)3f5B)U)_po;%O-_s`+O{^}Ha$w-qQyTP-(dvo
zG){*aUk02Kd$4OFcbv?Q(u(tXX9&}AWl2v>*2rVkS^iFylcdrMo&<JtL*Sk1+bqwq
zN<PoiQ(G*ZCKW<@_YIU7fP371E1;~9y9@T7-c$LP+;KMi(Pwo7P)(Z`2uNBcg*gf?
zN4L+BV__^M-FNjNkMVZI1-)hRa4d)N0Lvoz>qyeGcGZ7A+E^cwD!ELu{0;LPcU&d~
z4>8bQ-`9h4O13p?=F6n_s`S+hk5|cg?R9lI26|8yeI#1)#xgmZaq*gX76Ynm%dFb}
zQWt`^JMi|XuaGjSJbQen88Jab(T3)x3u6`=*(b+W$Y-X-Ya9HSQQ`Pck%?b)I0+->
zMWd_axDRJ&c|Qw2UeJ(x8BGU<+_;$)UIr}K*AP&9h7H$<D(@;8Iw&!5U^Oz}!I1Mw
zX!Gy?kN>KjJ4pj&sp`{t7a6hdYq`3P3K#aB8a?J)uLD#ajJkT92^aHa7v52M(Ak>t
zo}i2l1hrj=d=|}&3<0lhB=6wE*Ux`EN<E<sr{CD99ly(h9ZR8qKllpZRQL6}XZy9l
zb}aAIg;7>aJ>eRrQz(d)%XjPxwrau1U=jbHE$n!~NboC-R~QR-#C8Abq=M##Z|_=r
zIdI@(U6;;f5&Yt>Rk$OV3U!3jV%b$Lv|ry8bxmIk4R{P6`Y=*K>?0E!9Ol7!_u>03
z3*y+JN#zcIpa~tHMtAr{^5O6O2jw^Xltk6Z6Ne-BY62yRV^m<f01gJ3t+SYy#@Dk>
zA-63xAzMzmZhML#j)Z6sXds8<?EMV;R5gJ!gO*j&CxpAaQf%#<6p-=msV^VYHNi8}
zt*O981Wy#DQv%ZzaYM~%AL>R;s9S|c?|Vd1SuhhP=auk^c#P-HbDE$oJ>D68P8>T2
zc61jUR6&~IgP`u;nxMe_UuB=WB>Maq4o+I4;E<DG!`@R=Q0*zocxEGwE+YLA&ok7p
z&Hveta0@L!Mp}!3n=BTd7MZYi(7>az<*twD+HmE^c=oqgc|5R@-Q+nd6@z@Kn$rF{
z!0Jym${kifq4AYS<$5jL{2#62K{E}czY4?#Dk!0=Yvj=BcpZ!uoX%l;LkF{+av^y^
z%DAmOne(d*9XEy_`VwEO3%0vI9z0g6f+`UDL2rbPo4W%mlm6&|$)yB?KTN9l&fGrm
zPo6H$h%Z$=Bn)8dUcK7+e_rpne(O|?wH~^hlzGZsVF&`2;auDE)N!DLOEsfP4}XjX
zysC9K20vRl&qw_l_`c}&hjpy_*g#6K<qMdCm2<?~6h10)o{f{7lhDT{`Tp;1{bsO!
zyoR?~N(+yB?6=kbqlY?S6Fs%BEx^oZd-<<bEtCv>6;4L$;Xv=*rqg*=u-F~sdiIev
z`jcY@iH*9*R%h5QYX)#o@57{?rVeWPCs=H6qvMPi|2Yj|YtX3MRm2&ngF~UwdxFhq
zC}93j)v?1GoU;`yT-|k$?%P(R7NUi7BljY|M%aL4ceyX~nl@5d#_kl@X<+DJCkwe`
z1IBkdE%<}9G2Ub6_O6+K`JTPf@^z~%=skDb>v>iSt$#0v^4(BEkwPPnpbNI(6FW}^
zgi=ws!X`=VsvIgL_#5SB*#cX7Xj8Y8CayoouRY-+fw^xaPGGVvc%^3Pbmgk!xm_DG
zJT401s-1&^p^q)xDlUDj$)kqhD}iZyTe#36OvT(l#1@Ksb0c#CC`c`4dGz@kBc__a
z8B(gWflI*>t%n~d<6*N3c7^mA((P+!7{$c~f@bX2wa+V}twwqFF{@s3N6y&E=C9VU
zVKa6YZc;$6M4JwMju(V<e$1PdU~Bm9KW^XPC5u{z=UT^|`iWk-K^AfpKsl_+ofo9A
za;%E}V)YMEHdXK`Bn%+1KRsrryExtp`0wh+$J4|T<;rHONdi1#hQDTHh+x>?^+8uJ
z%o0s*pSXBf3Ai3LTfRe72rZfTRNpwy6Jkf}v~S4&LphJiMeSsMtXBOzCvCJqgdBVn
zk!fuSfo}P(=RLS_-FfGuA>j+eE5rO$zr7YPvqd_qD4rcl)MaiZ{@eGE;5Pko(;Uk5
zV`5Q~1wV9I3^U%ICju^OUuo|!0}00`{zDv$$ZeE#Fui4t*zr5F<gch1j4G(C<IP+q
zZ6BS8GVPruLUzkt{o-Q^N{Ri`W-sSR&r4Q2@%vxGIKE3?p~wVkFUxI`JvvQhDRIty
z_%=h79=ra~f5jN)qqGhgZ5<~w3)(hC4^0zKeQG{|r!iE@oSPFY93mSYzLpbXohJHw
zxW4UsVg$xMNmdna`pBV{%+(~bDPp_5!iRKmBk);swlvcCLQYRicXC~rBvPW?t>U5$
z!OM1C&r`-$Qqg<bJ78^sVCfAnof$QN_n&1G{90a<*$2j@+)^iqSB1$%Pkam@kSmy*
zQhk?PFD0AQXFox3XnS?sXwiqM@^-px@dM&#cWlLV<q4vcnyPTrK_89_UzFao{EAq)
znKG2CFhQ93iZN)_>%p@<oKFm*KM>^RbH&2e6GU3U?z;31dXQz|{n_Md8<Ewrr1R(O
z1hKtRLN2dS7a|H<nZ5{j5ygu&LJngS#JACf9Gxw?z`)`9jN;xy`0MV}3^_JQTy@q@
zrhKErw3~m(Zi8N8RA;?xrRo&n{PS7Dk$rUNe8;;mtJ_Dk@;)6}U7R9_<_b05Wf~M7
z^Q{o04iIx0&p7P<P7^ivGAFVqG#H)8qh40~MVu9XJN-xOFF};67DsvLK!e#pceTzC
zp?~(z@rHm|LP9s`VtTSRJmFp0le1xj$X(Dp%G@<an6d__eXG}kFxmCn_#?)M_h+3p
z*hMZ7-^5k^T61YZBk!fH`1TL+HRF{@q3aTn^XHZ7OE)SAJKcC;m@`2{96MqBVfzZf
zbk`)s@3tm<I-hSlIXOwl3)uhc&R!$5EoOT)W;I~Zg)i&sj%k8AA1wTupAoF?>j@gW
zYJkZd+myOrGlbZrhuD=cCfI9y->|4m9Ri-6*z21zOT@4BO}5W5!_{}{`A?+OVO(!4
z^kBd|VH|bU>FZrq2=KAXPD@mSg|-t6?%Nj$&$>D%uV{8C&fB}Icuf@y!xu*@&MXsK
z+8^+2ImZdxFYu}Po>B$Tgd;44-&cuJyEFe;)pEmUMzMn?%&H)q#_wTY#Q=|&3s|Pi
z_#mcP?eSm=1%k|Z8njiIV23fq+w+(JbW6p)1x*SF-#Yucq?8$+ls8`EoEC(k?4P$c
zeo%pqedqnGf>_~FR{-y|RAESnb@H=}RDt?l@!n*D9hf-74^n(YVd#7>!)+54*k9zE
zaM7L<LLbd+<ZuxOludrQjztA1RnNJi<G5k%tMBHl!;&DeQep4&Lm9H;8mrpoctPcv
zR|eEe!*7Y6XJ=ZKLF!S|l}tAQ__>p*h3YB?%e++gFQ1j6_12Hg7H<Wi8?UF_O;iAv
zSB=@CtIANKQsH10C=494{nr>dl)xsjuQ3@^09v!xFUX5Rb$R`#usg~Su}vb}r9cIo
z-NG+av53R*28TpNKMJHZw;2;A6gbRM9~CJi2|r$H5q`#MU>EEp%(h5@S9PM%O%Bp<
zdL3VcBUJ-XsG&f4MinL>9e2%sC<_YAWh1f1ROtL{ztE<m4#|CY*QVtZ;7NnYu1rsD
zDBoG5*k7gr<?ZI&PfscWU&{8Vniv}B<y=nMo=Amep49uYV@jaf<lS(wgAR|ZJjR%-
zwc+H_mm9_VRp8Q|$NhEvx<Jsy8k*JU(6Z<I)b(WwxFvi0OZMpj4o_K}%-4l|zVC%E
zq^bcwo8aFUwfbP0{~@Agn?5wHriCQ_ySrb?hksM70cibr&w0q!5PobmVR~Av31ci}
z*;-tN5XjrJWaVQFk=wkD51DEK_l;HO^Uj8_a5d-H-<zgTi6*KS)3jml>-m)P>kOg$
z?WK6m1#|ezP~Ozkr~`Fc7HQo-3}8Y3@U2WgD`2sjtIn&X!Mj;knQd|gaJ^vp29Ga*
zTl~u-DHe2?t>UnJvZx20F+H&#PFjP`W9y;x{dDlw&}`XwN*9>B;K8v|Ho&-N`o^a)
zIs^r@oVpc4gEN}RU*f!M!6+!!OJxHc?s592H2G1%Q7MjA&0+_ld1f8PUubaJ$@rkR
zh#K5e3J?-LWe1Go6@BJSI*`x7e%9lu5-0}Aq#C0gIBjZ_H9MjW*X<_l8~bE{q8{$I
ztJx0rW_sHAw^1RA^2K;tuL#r_`8?<@vxCk-#x}-P4G@S+XbQ392FXV;mG2MO!6DIo
znSM;_@XDs6K$&NS(5K>y<2-i2^g_Hjew+d>ma*@(I=>Qyrc%w)S8d^n?L+b1ZOU+{
zlPrqK8X&hDUv39pTS!Y~S2n6rgb_-#Mswsmxh#{b=M-fF35-Hb5<c<}bNC8%x`Gjp
za!Rjxj#<NnfW3-^`=!D6tr>CuBP*IO@L9-jw+2r+ewNZF;^4!0>HCXH4rCu3xeFfv
zWQ}HV+(ZPbnV+5uE#tz{+%t#$>;SwXLfN`j1)yZrszi5;8++0WHrB=xP<nxTzoh^V
zu+@`3(N}qpCFHk<OQIF9DrNECDrAF%CSw=%RvsMTz1b3Q(-LMs9g50%#RyBgwFNV4
zd2lSH@@0Ir1vmz>Z*?wNBqTk?+Jh5$@VVL)7xyo7pyt#IjJ=p5{D*E74eRk>j9vK$
zS!r|FTsCw-)OL`l+Y<Iws*M{xMJh9fz0KgcWT%h}Uk8y-8yPk~#*LyXA(45vO@Zz`
zx3aZ9lgx}fz?!JRjjQhQ`%@=Pz-_}|W4Zb#Qix<}ZJOl5p@@|&680t#lUM3qV?97#
z@Rl~6>fpl4^-2==3XH*M{q4K_$zx=KRiT5&XD-~f*viz-V+@SRYvm_7r$}S<{Uer4
z+<4@<slMfLBgn1i4w#7iOQzpEeL&WQ8{hI)R@@vmgg8&hocV|I<PcMgS92{lmdYsH
zfA0UU7dH-`KlfmXycAZa-LjJhoxVIgcI>MG6hDz8V&hiHn4ToF03BX5th77*%+COp
zbDzlWyv=|<!QUGTmHE(mSFlpppgt^I`t?R*o)O<~xvtf`jvu`zC}PFo`cSshXq2*<
z83z-Nn{sXvz@*a;H$<@O!wuzA8Und2$Z=-$_)jiDyv@Fib^ewf%uFPyyR5PzCHTX%
zRlguMIh;%Nu+oE@8b|y%gV`}kFe~IwyAW=sC`*6r(}mHj^dZV;4vgANnD+My<IHKc
zi3b;SVK<kntbYI(o^R7VpvWPLr`8>yZXtA`2wvZJSmj2;^8v0ko5ax6uHzbQo({#=
z{&aah;l;V$KLzc@;%K$^Tlc#PIykOLr+3BkW8jNE<~S`$94LvLeRG-)H=eukoqaBV
z5kqa{w?-*sqjLY~+CqmSzE&NEdO-|ICE44PW$=;)Nqnc#LH5Fk(2fBi{8IkaSb4u3
zJ|zSsTg2!9*2DiXiix1GZ21pa69v3y6L0s9lMe6MYC?>6h+=I1(9VkviYVVWvxS?B
z4!zT>dz7lhu%zv`?e+aic(A77@}dMC8fDTv%jgowyz%$)nH*(w)pAZyHlag=@7T^O
zFC=kf?<kehr-ICxw8I9WbSSeM&=3ih#*Fx4&wRQnhAJc!&p)68t=5xAOhp#EbVvLS
zCaR&=M^lP3hb}B#-$?(tD2FShoxfLx)bSJ7jeF83bm3@gUjlEq0{VL>v!R0~PKd30
zugj_j$(KT2SBER&78UTDDx_jp-U^u9*Mm2E%tCukDPeHXrGSKGEu8qy-f?EXJ~USN
zFPmOa#xrs2LuD;>aOLEc*5S<t;7~_q&fikO-Au(Bcmil>KIQ%-$=(o-im{iRE2E&(
zA<unpb?E5m5MFR2&<Of+wu#<GRh03%lX^Xsj@N36_KIIO2Dy#0&UUqGi0M}z@^sTt
zv^f0aqh1rZ%`2<fUZswAnB*ek7w9<X$a?dfr5Py4SN=B2)IfjPN3vWKbYxCm^`YgP
z!>Zk$GJbze%-Z&MwYGwe_qt*`P{<NyXl4PN%v8j{sHYcP>3E9WYdz(J6*!N&|E5P#
z@qNzM#H4T<Uc4vOcD9uOtI7c>ulH1}I1tzBG@^}FnxxC*Ie>|HbE{*+RNNXn9DAQv
z3;D!6f9w{w21=)LCQ};~wWZs+T*owU?0NOa>zA#e<z1Gt`Z+3II>OHuc|#4|89Li`
zOj?5`zu3(&PAWdp>Y^7bQP6a!@a#up8yNU=Bv5&~CT<+87FWnsLixv)4{U;Lp!MGP
zZtEBgH2iHO<fx&5^nQPE4!42DSbIakXmz~#eeHozsx(s0<PY51X9HfBe4o1ds^KuB
z!Y)N6akQ-G*#6YX2AV9MKi))9MU^+H+b2YXF{*Bld#0=nxcufg8Tv&9pC1%YvYO&U
zg_)-lSv}UUP`ydxbAmFS^FCq~Rm6d5Ssgwcm#iU4LPdCkt`e5HQ)t;+nDLW<y~>oa
zHJo>>G06U^fOqJ_6)SI7NMDQ7X0o3F!oziT_bbbzl#R=E@$6Z$-SkUO|1p3$-d8E@
zcVzIl)E2=bOB3Ww&D(4G!T<?|rJ7glq|nI1{Ak{uVY1&KqC$B)0b^&5GLEoIAca{_
zeV2JZS$kL~-SM&&NKmcf<flZDzvd=Oi2OHlsOZA%wR%gqU6_?7$0~x(?+y(PsdbYx
zZk@(jOqRgSF#Yk7wGg&e)xM=K{NsJrq2JwL0TL2(Dis9+XrX<rU4yTaWHox3Dt*=*
zdcK_DE7`|~;rb_o{b#yJ&R<144d0u=ri58ek1lSkKOc7b%%&dFKFU<ePSOly9rMeZ
zFLEM_p<Rt!U@uvI(&Uf*UQ?)7>;b;>>?qI4>E+4aPu}a??`87J1SqG<y-FKd@xguD
zZ(bt5$T=Mug*jOhh)}2gXJyZV+!K^uY2RV;u(YRJXp}Jo9Oj6!XJE!{^kZK2-^NIO
zgScCV`i&sNs8QqG7$bi4vPp_qKS63Vs$Lx5Yy|v2oo&ZB8BypcC`9T`kr5FmzPzh4
zgl4k})-rbne3`!DsYRP1&9pR~N3;xKx1Yy`jw@?qvC8B`7BNd|)G->F<{5xeNJ>BJ
zyH!%sd^w6?=R6sbwR$gK)&RC06_vVZze-llh%z0{UL<RzEnib^>cdZg?EUpTtEA<-
zJeSXt%VfTSRqX>geVA;tVtdcOO46T)+I<XIBN_6HJ<aaw0k2N@(<9ESq;Q{2x5WYj
zK1|nt*GT)<Pji&Qo!_pK`%-$+H@Gw5Vw_dtt{1ux#S_nX=j0k`Wi=6;{e~IW1w~$$
zaMcAC|1QBYJq8pyVq+)d$cq0x_OqNAq{G#h^5LSd8Ia&elPaEI!#p9g5w<gQnD6)?
zBz=$(=a{te?w4^OgWqfYQ%ZDrceAOKZp?(218;CAT<1dBYozhwc^V`&dtDWfVMdqg
zf;S_#cyMSUQuf$49XQZb8br#mAU-(0TG7gfAD^9dnK9LYdzA;}lYkYEhvvzgO&7q1
zyf>GHa<rkKBTa(k3>yYb*~wh)6U6g^mTOl9wIQi3;StLaJFX9U4pr-gah;w@Wyqy}
z{dA=$|4tYuihpx0acmI59|1ep-Ime<&ZyjYGbL_($*d)u6Do#keJkHnpHSgjV!@!t
zG7l<?O=hxdOQ4*iMSi0%6)GjP-c~U2qva*hU++bvP=<9&nv66Ro^0$eRJ$pFSN;qZ
ziYv?D<JoYh`=gpLsgUB!-z<o~##)-%z2$J*!H=?Yt(x#`>Tq7RoG><Xzc6yxp@0#t
zN~QyCnow0{sNtO`f;+<`2Xyij@xZGpk=jX3h*IkJe<&!1<<}Nls#ldz!&Y!1fKCO&
zm7K7j72^1FoFgjbpb8Ei%`jR?r9vW~ES)7r5=Twvyz*u!xbJ31yQ`uWB%bYhSh7nR
z8*7+qSkJ5BapU{FiC?wA?Wq4b)<d$GexS+ciJk_&>i+sz{i8N47QnjwY4Z5s*YEpo
z1Dd#dZM1%1UI+fns`ZwRE1=*t!RX-(E!@;G#r911pO+1KawQd&aGzT6`2r^$Ofuwd
ziRaXXi7%06fxgOktit2`gTFNVyAo@x#HI(|Q)%CG@2KE_Zk6i7%YS}hEHoF;(1(&r
zsrJQj3f8w3+ZX(&ixviA&JBkRfcA!G$1!s?oB_|IAG~^a`JjKXL!Tj3omlV8ep($%
zBMJ_&#_D0ibG7f!!i^zWf}1P0QUeu?BU$a<>fv%x(&gVOrtl<P`*TB&CSGdJ8(sfJ
z4{v;p{OB@j2LA&90RR6KmuDcBZyUz#y=R2%{qQ`GnRTDGD5+F`5+y}uDUwx^l!g**
zS)mkB6qW8XSrKVi71>0#WP80|j}O;%eYno^cl>@7RAqDYXy7)My9&#Nbc~8|Rx2wv
z0d-FrDTA80u&t~s(wdIGc6*146U{)|=K#tCQt($vc-xN~G&H}feJfE7;K6Iz_Y=Jo
z4C4P;-I7Daj}aF(#V-N;G7LR5C#i*S=gc@UtA%d+Do@0gnS=Z_zoMsnS}5c-6&zrs
zi6_5GY*lcz0Isjy>>J7{7`m*g5~ZVtk6Uw}M7CRii+6^<j0y#vH5&_?R+Ny^o34CW
z*Al|F{L^rD(!^Wpzvrm0<&lx2*fG%85)`NU#V5=((0x9eON3_w?qV*!YaM9``E4GZ
zltneHZPNZKG_?+6vimvy`C9_r+@z%FiYf-%ZHgXp62_gPE?e@!5|W*0_ga`$Fxfhz
z*!uzx9uVAR=d@%2g>#P%u^d!FmZTkHp0Aj(pg2R7G1~&#-iejVyivd@@gs&>k#pp0
zzu^1%gas_zxMm|RB#&t}ssG*99wNi9GBUnzG6(NxshT-~vM6hRC*)rjk~6jpkxXvp
zu)F4&>Xt%jWISB?j%a8h%tJ@&j`jiA$I|rVb0yJjVX*Lt!62cywZ(A1KR{q5N1DV3
zan$1EJ(X2AP8j)qGhP`c;NlyWZ8Gacv0;bpo22F`BK-}AW*;K~9|W~CInsqNSyeE9
zU;YfS@WZ?Gw~QHZYD{hY`=0>PH;wPD&G}0(6!^?`S(t*@&9JBX7kSV*ume43{t_7>
z_3X-lCgAIG?xDd44(xP4r*HS}FA+ApMXNI17;YX&F--Di#VcJk=Ywf~36sF^>q*~@
zAn|YC&zgNqc)C3_$K7*=ICb|z=BD*VaH`c#+-UDANwx}>e)O9rRP|11C3$WHclF@#
zw&VpebRkCV{Jtr|IpNV${z60Oj!EA1$#s?-|Lt@~ZR;d);JQ)$A!b8h3#p5~nK4D$
z?CQN;XE8x=)aI(1yBUDkEZ-O5(lPQy^NN*Y{20L@{oH%&D}9*J<S9~H93n0K3qS38
z`iICLE^gf<tq*FfDz-S&ONwuK?)H;)gm9@2^`1DZ2eaX|OBbbok)bNpS+uLa2~#~w
zd9F!a&`-1}e|5N(ypiN!5w&fIXwhdr?zLYR%KuY4QSq>ebUa+!WbZIY@YJcfereW$
zuguYHK}V}dl8HlxDSCj2_>y}|!%+uLi4$3QBPHZ=iNB8B?|vd<BMZakIyyY0+>i(k
zO(5O>xy5a{)K3V^j@Aj;(;+a%=ZIQC9`T0l-2t9M{lo*7&7z(SG$^&<8<6sNL)6&p
z@C^^?CxY}${AHYJ@Vf3W!%dzl;;Klw+tads;u4o&h*l>R@~@Mt5r^stihp<lGkt(~
z{;&37xE~d69Y1pDZ9x-pWn$wcmCgZTk5Y}r_kY^3mo&cY9{-idP5v{a|8|hzl-W1h
zBclyz^TL|$_AP{e^}(6yFGGapb@^?-9kk$A_yPZ3=5}JH$BAWHYM9_@-=<y{O#vgm
z5Hl+IgE)U#a`@2w5h6#jaN6soCdfVWI`!>bC&A5EALipSN-(H1FW>#E0aqNJBnCd~
zBD4o&-gG&Q6F+#yQ=B(yz(1`{+taijg6%?AF}-qvIQ3;>%ZW4U&}Gkg*sH3SNdNgQ
zT8?RoIC~r%CYsdXt;w0Hj^KVmksrq2drcEN*?nF=RaAphpMRU9*&yLq)Zoi8K0_?u
z3E!U=r3$K&mt&c=eiKohAr~DU%n}c73D|!Bp#nn>$}O6$M+iRkoy_~r&k^@zZrmUU
z6*yZk5%T!rD6u1ZG2mv}0<n=_JhwYn8Qe8LSw3c(AQHN-ihmqiBHYsNST>0&L(=9=
zJr~?2iCEI~rC-D<!Bg#Kq;x?En(ehkn_8xb?Ll?t-YGG{ZT(gYHYO$D;Vk&B6f#3N
z8T%;oKVt&!J2{(kPb<Pte<I_Y@ho96^mnGshXqc<!sackioonLf7U^3j&R#xzxvXF
z4VFreKG=3u0i3xHe%9N*Krpel9%tLf0o4K$Cd%>(V6pRe(a9%E1Ye$C*2_FDSjkC>
za(yiiE!zqQYb{m@9iF)#bQ&)l*x~4u;U*7XDp)fLcp2g1lkwDD^Zc;oc7a11n>-x7
zQo1qbJ`;$m^`3omRuG<g73~msEeEdF)ZK}@SwK$5U5>6R3@5s+zTXU&gL2K}yFX3X
z0G0#8a`;5SE%zKFyR96wJEioz-Od5|t_-GK;^MH~KC^9$yc~pQZ@ku#$_2W69eUpH
zkbvO>_j@Y&<e*yZY$!#67yg(Wp_x{%hbuO_R|$SONFv&r2M77#G@EUp%rO~AzGwbG
zK}8PeOvgOS!vw+ca@Nne0$C^sddL;&DhC%ne;`Wbg`rUIz2i?Sd1z$sKPOrs2R{^3
zT(f6HK;T+xl>L$d@L5(~Nmh}EzeT13DwAR$a$)yWUb7O+DA&&=G{^(pDUvx=QUcs#
z_8&Uhqyq9MKHoc+s{nIF=r|p`9(11jEtA7)@R4#UNBFHGd|df<%5zZ~yyj-^%*blO
z)%>2Dd6LQyZ@2dkpQ|j4zK$Q03($hyhEX=BYE+=aB$n}CgB*Oj=f2J402MyHPxMmw
zqz1}vIrBeuD?kOO)UBOYX^=IgDluxT2{R2^w(~QJaCFwU;b{pS1o($Vg~YWXOv#d;
zGea4Q%ZJ(rYIT5vwf9+x4h>lC=&_4CRpG^x`2^Q;U8t-+u00{H1CLEFr@Z1;2fx})
z?nl=4;}V~nNR_@Gv`+bN;4IaEPMScXA)h|1wuH+6N-zM)&!IwB9VyVBE1Yu4ULT|x
zqOPcM83Ajti5cac7H}1r=s#B1hx~_0PwcZzKyk$?V-o`vtXD3-($CU^?3`NRH?{<n
zvk5h)MN^>#MQ%D3=)#dhv##!c0QiG%?A-f}3Tl_6e;nGP1ON5pn%$MLfJQYx(^HF7
z&=h13(o3L0FMHKSBgz`zB}80?#;G9SHkGO{ss%lgeJN=?R!|bz9WnTn3cC5z0?&4;
z!)dqeM?8wHKzotlQG^K<EWPNfzUP#nWPU-}RMr|Y2LgXxqHBYYM9-(BQd#J5Tr7!l
zvIa)u_WN$PC=lL%Z@8UU2PaEJ{ZDVQ2A`4kj`%VS7^rbyw7$9aA3yzP`(DTzboq6k
z^XIC87oW-{g*yz8)F*xQc8L|dK6!zCf3ON%CC?_+ZRjLu-Ih<gjjbRi@Nc__rV@l2
zUhv-@F+wU^u>bs9U<v*T&DWWG<-z@7>DH|cD`aolVc}UZOPHA&^DWMjh3`5k-XB@m
z&`vq0G9cUnqPOVfn@>o=xx_lRvvXW17w1u7)oBh4TKtcXe_97dwcfq7b9`v78!Ojq
zz1CY;8#Wt{i>$rZ;r`h$0hIjWX>;T`fPi-#;7&ncDcoRs$yg9=6(X-mssgZYcacov
z=7CiXEyG*6f_TyArs7LG0>*NOMR`|Qp)^(}PxzZ4vde}SdpVgwxMA(ZKQRoDtMMQ=
zYAqiznA?+e$P}>EV}F(8KSC_sq2pDlAjZBIet$N>1kzF)kBWKzA)1!!o8vAEVrqWy
z<m@YBXmyrP7_4n0Tm<r@hTH_vakyK*Z`KG5FY>89nk*piHxPbLwFJ?5VYbf3)Ck@_
zth`p9&_M<psOYzG2;#5lGkH3fH^Q98xMaKiFxhiZxpR1200Tvj#Q*9ygtpQvDF=5>
zk=wV9i#iMn;48L-i8LESXisoov19*7TEASd4WAUix34*g;Q|8)$)dF0cU&ZQi(TL8
zC?JTGTqgHzG6rzsUVzsV(^ax1rIjXQEr{RtYAeJh>%;Tp+>YX4Mm#)v`BVQ@K~zf;
z%(oWQ2S>3Ky9#w?47eio+;c_{<=_6{3Q5+3oWOQn{YDn73jJxXenbev8+mpx%IJZ6
z{^Rq{4zOXl;qKK}EW(Hpqxz%yy3p!>^n~LiJ049heS7|yFbWR-65nE_3rWv%?_@@D
zV&OyPd#vFiC~B^F)23Soey~PRo4L4g)91M9oIRpg>n?LkAWjF44laMsPUpe?QEAV?
z-D0TzyyM}twhp8oRNNJ2!G}wh*{`jG#Ie}({CoQzI`kjV%HKP~kM#8=yyltfP*Nz$
z<?KB=+!DV1j<-VqA1%(^-!>_M{|(37Q1GAwb>&*@t$IOZsy~gLZtGERUtIM&bvl@w
zxt8KzBZOv02DE7XQn(QRp@N@*4z<Zr?JQq}@pz(2!Ttmpyzalvvh^1Y?u0oyz5FAB
zlh%((Ib~V=#g{R#SVx2F>wG^Ht`oz1fmSL?qH?IAxAZ)sf(G9@O-#pji6eDaOje1Y
zJU+jrTpw6N1Ao`jG@Xa*uqEE*+LELK)|mQtvHqYzioECGDvu;aS$}<4uC0ikKlORz
zS7>l?-+Srkxb=7}(c23gl`y5u=a8Ka9Y*8Jyp9P<<KExiZ3f4c@%?%IlH71Q_-|NY
zQ!kXkQIGH3dG}Rt^o?QWN;4hCo@xHoq{`xga8qR42URT9kbRJ3qXYDvnhERza#%w>
zsjE4uhT~x=(x)5N@(ke;+gUk0JS3K(%CCV8+clii{dB=fF}_%~TOR!>Xm(gy69fMi
zxcJKH0cjp9>(Hox#VkZ+fd~a}9P@kfX-p5st{*g5ex-;7RvzCNMk!dKnQSKZRUg{S
zH`xzmDWP!i@6SW2TG+>ar}WuJ1L!E)?PeOMjHV-tf*)kGacn@GQ>EPy${35-Uc0KG
zSVsS<lead$R=XZHJhKso8s^=rH>jeymN&_DL>nVFE>rfeUz^`?-k!uys(7)=@A*7k
z8`*SH{|(ugz`eG4U8{p?SieXAmGKiTY&$2}zk0+J=3j4Lu=%Nm#4Jtn&UXrS`y9J*
zF3Aj*K00Y1r>dh$m~re3sfjQ6ee|Us5O9iTw8_(59c@2Gq#oU`f#b)p)MhKd7{{1X
z<^gql#vVjJRHKG`K`oE6%K>=3yIB92spDDKpXBJ03Vv(!T@H{m2Up6&Xp0FoRMoqf
zXw0vSRUh;$?jA4)^>X#7g)lWddu2ZUC66M`^|djq-ZTfB17o~TeyC!}s^}*s7I~zc
zJSAiQ(i}z|q>Xu{RB^mVkYr|-#gzr44~!M&z?bKm`pQfINI<v01)Vb*pK54Iq4B+K
z=(*<6Di3X0X6%$Pd_en7-<5UP`YnlWm}U+GyxSa{K?#Gtn13xX6~)%9%gIkd%;EF3
zmr57a716_~L6*l-2&dn>WlIv~a8>5X2^n4mjNEEh!M=$f70Ejpy~_Xr-_r#RM&;1_
zSajTKH5XoZ(foZ&F@VS4#`5q_vS=&b6Vb8AhIHBpPk`6j{vW;YVlZd}7G!d6x9Ma?
zjljx{A_4#(Q|tS<oTbsDt?r=Benyn=dmWQ@lz^|%txvx?t<A+@PScAcE2N<_e{nr&
z1}t?UQpbEH@CoPLnv>#7<j2j_xfeWUz&v<PWFku(uZU+yZdG0&eKNk(|8p?~hs2AA
z?N&um_mIly;rTgo<nO)wiiai;mV2WhB}xRjbg9D;$LB~cdR*h;yfK6wyUDM!K^T)W
z3!9{)=g0&JpLAPCV~EzG^7r%#qUG{01rdgMa#P~?Nr@aIc)oP|-Jd!E)DIiU@)(>a
zFB``%k&H&bd1ABkg&cm=Ha_I2qPR#d@eUXU?cWHqb(ZPI|9J8GyPYW)9xajndUr{?
zDnn4;tJBLJ$Ah;y!bCg*R>-Tr&-Cr57(zyf{J{8TZoJj7i?*o4fch#5akaM%px;<8
zt<`}G$(m}N!A*?#@?=K(IW7a>wNQUw9nFdR0*V73g)*U}^e2w&Q~GcyE46;8hXWZu
zE2cS?F{4^#*I~-M9+>>+ZkQgzfqGo+HK~HEI5hF=hsFs#_<dTo?wT$KvNmTtS~<mr
z1!?ojh4Z?wVmEy7i8Ke=WDf-&VCBG(a)lp_r*&arCdE`sn*(R>_<HJPapF>%mvbhM
zE-+7KROWhfpwv?{A*(&y=o7V#bV${KbGb=9OH~{=dZ=jSg*GpyNl$6c&~?CJi~3uy
zO`O=eKl=lN0zVSYeeW6?=<q65+}mf86E%|gnt$IFz`=15F3~_bNarP8=_=<!J3OOv
zagF=yJG{b#MCjmWd)IfWfE#OKbW{Ee38713gSZsZpk}bIj=PEn8Dxu}J<t-tR}pyh
zX7Jj67SG?-$-swWJ(g43E{dW<y2;~34I1n=u+Dcmz>l6yhTKUE;&@$yv-RsADzx9+
zwfRe^07ft*Jo}fp4%ev|pLkb7g{bOL)dZ)tzGC8^zicFlDudGUr{bybt@S+bH9`oT
zH`FH0GD+b!7kT|&Pb$3AV32!iC5)3ER!8TCr13foME2NG;cmMSTj4$tJWqZ+{eE-<
za^&}2PBNl`WN_TTf61b_dFaCF&m3|%wxp1+v2pEug$HVGU1GQd!et8T^2joFzLwL5
z3NN4Od)ZsB!`R_><(pj<Fkxv`?8(}_G%5?<>Gu+7{jKA=#Vtj2jQ{xZ*;Oit3)ElZ
z-?JV=MP0wS_b8!lUsinkXDZw~^X*_Rw=_1!M!1>ktKhrDFvD>b8oXom<T?IL27d&+
zUA%Qw6_33wyit=(gJHhIVyiB)$mVQBRUK7BohzlyDw1@#A=O&S<Sd6l^#jULHX7J|
zMWgX?86Bo%4_7?dC65DhTa!jpG|{k(%RTG34&<obeb(-wfQ<z2f%9J}D7~a!IOw1Y
zcL{U)2Y*GBbS$cpoz=o?JiZ!_2t7Ea{pW!|xDpzcMyG{NYh#)vpNZjCeK3mOpPC%2
zj4fwWZ7lXt@vP}QPeYgiFgLtCa_OuJ(zEr-mmX44*WB}{bD1HqshlvrenJ(eGq;We
zHB#|X=bfGQJVuc5wb=N>E;X#m+g9<So{G+8eJ39K83RM)CW2i`9gik!M*O=+ML9@Q
z<7hI0p4f&-g?H+xdTaN@cY=!XJG%=>su@hEdeH1Z14E;iZj7w)E`3v=iuYLp?9)Up
zZBEv}$6Sn4^0O37T-x~M@jd{au}ov}vNcXm)!jNz*Tms)hjfi`0MRF+QWK9gFy-P>
z?_D)@3{!o7;lW{Z*jLBWNBU`Cw4j)Mz=#U|EAUzF|7Z?o8&wKv^Xe!y^u{+NK?%>;
z25oH<vjF#Ii?pI$>KM2|=#j=+Z|Qe7Ouu7e0sBHV*V&y{LzBqcl*D{lY&mVkd)mzc
zqU?=#?7FUs7Qfr#9zT}CR6(I5V=fkOc#^T!Bw7XK`;Ul!wOEIA%Y|7b^R@g^$G+LE
z%DBDygUfAw5&TOv|FtM$0apEG@z42{aIP}S<YS5e@+eyIU2ijonxvt#(Ul5#!$4;>
zw}}g{RfQ+6Pc#S1S>FEf<MOB<BF8AYj}@P24Nu=UUgPGA3rA*^<?wTpkHPz|4EWgW
zx8Bb#fQbDE@(z(3aMmrYB*kQb%ofS+r^f(XmwHqG*+v?}iMSJWt~2D9D^~*U$^i7s
zb2Lv5OCnE|Sg&5;IJx1y?fLB?1PI-HT+&gv4zHgkoBjy=Ce<2(0#x$NAR%_PNb#N+
z$|d+6t2*6B?z^gAbaucLjE)|#TP_emkEJ~pnfcu$ca_AY5_wZNz*+GiY*+}R1Ux?{
zZtfzD%WfIn^E3f#afVAT90l>``!-dM^<8A5!PNe`9AhYCOQ@y1;Kw&YgO7cGb&-qx
z%70SE*L);<n!izs7smw-b@ci4kTJF8BI^J56eFd2;YKcWcjMc-e5H?c@@D*+oVXG8
zNO+6tRde8QcE-m6>L5Ao%*gk7zz|9bdA0~KvZMK_U6n6&he>93FS$kwL#UD>A0G^7
zMV_Jho43!6l23FeO+vB^;Py(Y?{5kV+KHz}u3VfTqj{>N^EnKlHhwTEM4TC4rtJC<
z5Hv-mq@TFr7OW3>l=&Pn9VU#tu=`t_?+kg3uZ!KkYt2U}`)y^S7;)#N#D8BSW=Ua7
zi?ZtNdcgMlXRp>21CF(@bK7Likv-DVT6;d|Leu8@0Lw%M6cXlrJJr2F9+l>NwSLV<
zHop(;d%leUx%|rZk8E5fnSE%rD-}ARa&02Sz<>dx1@fH43RX$}`;Qe?t##mFYvGqZ
zQwGdYFFwN|$B1u($84q6_>vJ7WI*#`z^hJ9$9STcFkLC4()B+&{C;J7YwRHdj<h5W
zMvgLL<0J7mm4h^pcB5Nt;%3B!UjKZC5LO(_^*HAnL4zCCD!Nq(jM(^AiaA1z9Z%L2
zo;)B-19sQb9>yw6IB(-{lcSjfgEY4GHa?|7rm)(0OBWN0`Mo%`{G1D!es$?IJ5gcJ
zEr%STQf5@#mzUG~f(L_2v0?kDHXxPJ<wZUVa`aayo$TgA@QV3Q)KVMrha!%Bt6)X?
zPl<(=H9mG`3zlBW(t_}gvmrHeZ1|S%#rmdBLG;7%6UX`2a>Z?i+S@qrw}>CT-dGq7
z_Nki{#8V(v_;bZ*11D;;7f3A@i(s{b(nnif3iK-t?NK<&jSs?B^X_gIL+?B8buk&5
zFnm4vsG2D+Qk?Iy53#Jn(8`c~t=5{rL&$x)sLPM`c>%k5yCiT+$A6dEmNZ~nq(=Gb
z69LRyN{?UHwI0`bzmt)u)_~}9qdFRGf*9G+#?{FtgPZ-_IRbMu-~?OqSp#WdOsF`=
zGpa6&8?mjRB25D{?#EjtuJt$Qo*iZOmctKu2cwKjG@v4xs+6!Gii|mzM_XRXBWF$F
z2j5{0m^}3|*)>HR-@2x=@JlNqt-mbQ*-{hSb{yV2>nMSDc17|Rrzl~h|Gg6dm71XY
zOWto@Wj!k2Kly28g9`4iiw(FIOaZ|+slzd{()inHAHQOmDn?NXj!bOVf~a$oG*-h6
zXj636L~^hCn#bsujreMVk>-U*S6;|s;l0W&Zfu&U-0eR)?y<)A@x4pAopRV;zkjSC
zpMv)Z#UQ`6zTtIuOw~t70hO2C?u~EK#%xyyb^bMOM#lYozG15(W;&MHEO}G0V`J5I
z4~h<OaVshsUQ@!3_PWPABxq=pcU$kzL0#aCEBL+sn=<<ER^NTGh=%76XL3zd=s{&1
zldhVODt@A?^<P${qvCUE)dh0{s2}EQEU{9<M>{f|xkBkEWAvrsbf+N%%>LW2?xl`f
zDrLU2Ceg9kyxp?onh^{>2rM%4(ZJO*?OoSH==kR51sm_}CZIL7yVulC6D7(v9Lrcw
z$H?gS0=lARu-iQBTlS(R#$~zWRmIS-oaP_L)Ib1pCF`Rr;S@aTs5ITZ#^2-3`6GiR
z0GaP}GhN<N@X(*v^9&l=IN!Kn@$0BLEN}@hnpaTJx2@<zVwxrfd1ogotZ^iBu+y<A
zmV$qC|9doDrG}v;+ieSOT7b?+1qm%?3YISDHVT(1<HMOg7PWZ`h;f+Rp>C;(ZO=sR
zeo0Y4*P`=_ng*62wz7wrZ<7WNhQ$p>g~{Tm$*VrA?Uqp6agnOC#&@Iq%8<DkNxU)J
z>r%Yg65QL#_TyEmnD)jjOM1U3G7B#83aeW}Nu=Q6i;gPz*J9&r{tf{=;&pq&=P?W5
z^SYMk`%Vd!kDO7AeanuzkC#JVrCGoyX_vYp6-AUEi(PXk24pZ5s7_ep<~&>Gh*5$(
zHYU#67`soCHuAqR@2&Cid2mZ&{e&z&ZPL?DZ0RQFFSGT%@G%E*524qe-^-xDNJh7T
z#RKxJ<><4&GXQqal_*J7>#=Bdiz~xK3lZZT8~ouEK=8=)T<O?4Jh%MBgSW4bP%_#T
z#lj6xQR2R#!AcArIrdARjvFB=4QatW+635*y^go27slVyuiH<4A19u&dgQb?nnB{;
zqJ|H#f*91u%F?brN!U+UNlzX#1)IwIik2OGC|etGNw;8<_#8dW@HWi^ZZA`Q)QECp
z!dJ_r!OTfw{$%FCpfAR-+2F7L?R<93{o?Vjh%!k8Jhxk1;5LSn%@ISRX)IWn{&VS{
z{{+GFmv)=F*$C>4Z}iCxGGf(Ez2Z+(V?+(FbzWW4M)<W`w?=AVg^VMKD369egcI}B
zy_3HT;S0yQ?7J@($l^s8L!a}*gq{D@&=Hy;Y;QWe+&eo<a_iT<2{RrdDhS2%O&1Kn
zxA%{*Yr!<hR(;DvZmyrG^Qjc;9MFeh-Ky%&rU~-+Q_2(W`d-4e*dX<j-5T$pBzG$N
z4`~!|ka6NoH*uJ`TfzIO9*BN(#=adxWcI0{{<@rBgzmk6oB@)0uwLKneD%#fvh8||
zm$Jf7qV3Q7Q%^7Gf?#BkcbG>vscfxzE`G9&Xp4XLlW|!GG^a8?^6GVvGP^%#zY%O9
zY_{G1W4zXrzq6FyHa*@(rdhE4Op5tRj3hp_+Bi-J1>@5*)BC@X!g~@fA2<C>1pm78
zuq}WN4F{PYTp4I0rH!}qHO4d&Z@+V&T^y&uoy}XGn0>D&{|5j7|Nj)1c{o(>8^$I3
zzAs~$8DnPbTW0LeW64q?O3I$1L@FX{N+glW63VwlAxdeXY<Wl&LWzW;Mat5q6s3Oi
z`}eud^_=%Q=e<AoeM{MHUKkSXB96V8h)s(&1ig2jQ(N2Hn;GYg)|{1jNRU#DmihiQ
zfbp?2yR`PSHe1@c+uzE3KwJ~Nq!x1206OERw?!s4H5bepxN(KvC;ZkJ8)hjQzyRgf
zqdLty&7V)iIsGnaA!cgYEO&Y7L!jh=*R19n&D}q{PWKofaplGS($a%^&^FsPxl+Hf
zIXhs<{jJPB!bRv1Ip>Bhs1l;2ee{y%G9pVZ+`W<5s%=v(GN}W7b(AR&k5kR*ceW@O
z2{jPC_UG$AQFWj_Za~pRBenVd?)pndSoMSmG4fg}NE@o<8^fc6orpop#P`CF>WJgw
zk>A#rYeBK}3Q^5psl@BUN;?ai>WE+AExjkdYJx|~V#!I*TteSr$2+!YJs~&93@!&v
z=(Nq+P=5Ffv7UWdeb23WqIBU+(cU}_*!_&`_Tt<HLZh+yEmSoS{#|^IFJ_o<)iX@G
z)3cPga!g&3YoU=ywkPS=Ix`_=>dZ~wUzdsRYAG*$PTeC`*zo_HsboObkqRE3qN_xI
zZlx~W4vA7-Iweqo0WLzVKc{Kc#J990a!POuF~M)Kd@ha-tQ9*N7X)t-E7EWL;kw;Q
zOeuwQXH2TYg<o#3-|^liUam0A{A<ugtQL8_PjHhuBoztu)T!1I!v04-#g9E87Hn?y
zdiBu2!6K(H!RIc~S|wSldcT8Um;3JUaiqcANaMwo_v?w37kAm(jz1z2!vCxMeP0bO
zSvg-1^J^k{!<L`@Y0*ubwmFOxdo{=x8BOd~K;q#k_6NDq9zwE0`0A|=Dp-oOrTx6v
zLTuiBsIlyAAJKnyo6T8QDh!MS`sb{_Pq@E7@x37BDX}y6vVPYP1&&<K;aaEvfUxV@
zS;TaEMwHjQ6J&%?V7Op&inmz@VJCb!Ps4SPxLCWooIOhh{zbKu4zZ62H?cSezO*4?
z+ovowLm4t>|G29Cw=N=b=d<)@3&Vt@t8=}AjVj!oG|Zq~>mgJnnEjh?y(H9$<Ghcf
zRDeOdYjfvCAK`vK=3S}pIFTJvZEJ8<8JPBq0+9BUSYPysE-dthn6tFM#+*`uluXyX
zZvM}R*4m<mlJ{>3?hWx@&gd!u$;8A~bjKiZ>5-3b)6WUwB%P})E`|g_2aT_@t_=~s
z7bCB)vim?heZeh!vrQ2Mu55JGHXI=y#i+(j_f8R`Q``G26cj=E<GSZUi!X^-KK2N2
z=`2A^d(dU}D1fDqbWY%ral$%OWOirp7h=BOe;M@3!!tLN9!cU2!F8cb+k^g%P>9fI
zerzNUTX&6>^D^EMJ?pqPt&{&woIS%PJwGD{TUN#$th0Sj9NPV=SjT3bxKC2Nd`L(R
za_uI}UCw+UB6jRvZBy}!IQCOzN;p{-xSu5CoM2BA$_?wt*EjqoRF=&tH7&@%;%>#Q
zROL@Zi0j**o8A8sbiHLWOYt&5Zpr#$QTc^%-(;66^MniHHeOi2ez^?Hht_;Nxc3{8
z8Y5pCQo#+Y2HIYP=Sss$`~IJ5k>80Um(;>#?(jgc@TDZ0jx<ya{gRx&JWuEu`m85&
z@x$dc_xrMYq@eME%FsUY0&$=-^p!@YAW%X*PKhQ;f$fVI?!%+MiMidi=1Bn}aByAL
zF)y|h+%C-)lKuFX__O@EpmLfxi10rb%K0Y=aRT!P;~C2!UN+^Oe~Kiee(7R_4okwR
z^!_1P!R0U!BJ%xXlr-qfmv7PQl!SW+K226pdEwLn8(%1vg?&AR_m-YYf>O_<zGMtP
z{Cw<wxrIvs9=4v-np%(q1C#LTED<3H%q<WUEGL0AJ21#-r4)2b^hSM{76HwW!c9GS
zD&Ra4+`7L}3jDWEC0-MifEt;{Vk6rq(0#6alSZgClvkWGAf8A<-n}-XG(9z-O6qPu
zvOxyyRFv|v+N7aWFFT-;q7Erj%g5K`$bwx{YIf4JEcE0>jZG2^&_C=s+^-`K%bU}l
z^f@bl`OLxNPqQ>2u+M*bmzg5ub1jQ`^M(XMm$`gn__Sf^G--21j}r71<Qw|bsla&L
z%_r3rx}bh#x3?`H8Qu|E-!^m3Cw`aFYiMc!T93}=#O|j;U8bvZqNEyx)Rymt%Z4EE
z_{-nNA86oBB(*lYpg|9Jtj&Iv6)@}=aOBey24o9XW;!&{q0>G*&i|M(s245-wmWHo
z>K*r2hIg3o-TZ#%%a1JRR!dlMbdw&Czw2z{MNJ?XpIoz+Y65ktfqg}3hR}2Fw&d!^
z+VDn8=jnM>Q-IFBss?(-a4z<{-^wStK%c$oZq;cD+B1>6X2~Y-c_Dl9Q@uV6UvYZ<
zPS^}|lBZwYbTNn2rwIeb4F;fdXisbCV^etX&`fmbKPw2gk|X}b7=p&Xc{7v0CO|7r
zY^28nl%%udMtP0k<TZwkSOFW1M;~hI$lAh-C9NRzGlHP9*IY9H8N>NkV;|3F+QCSb
z&s<}S5hy0z9MGZ}f%L$WS6ZF+Fwnp&E$Lzea(*AToj<7u-%b1jEL&EBYF=Rb`%yzM
zJUeUkD4gRr-g3vbZgYTEi-H3gI)*T~*+<P>pTplv7W5<a4sb$cO+LS^0X&vkpUt~L
z0S;Ad@~>`o0J2@CMun>$)E3MXUdt2$yUh;$IR_oU!Ozqb`n2J4OQv_tsu`la&}d-2
zm;=m=#`IWIH9_vi885EZZ_Pfsx!?7oS3(XgT>0-t2Arxa9`A1E!x6Mz8QW$LSS}!J
zkwt^Y<`1>+o|eG8sGg4j0`~AQcW}3UHwBK3-om>XGH9o^&)R#H9pqTtcSv$k2I0NE
zR=@q_aXv-eS^1<bj8lf1)STpDbz5fCNmoT|zA~NpW!we~{^%NfEsz4?)%-(uGe}q$
zoqfsJ(gv=aEsg9=69M6Mu{FAuN;ota)G&Gxz~J8=Yn}ogIQrmFgKVY}QV&EYeUJwT
zx9OXt-(Muk(gx1Y<tgE~+f$(weF7HSLv~Z*rwPjT&^m)iB`mr6TW`tU8cc14PF*!Y
zVp|Krnr12Cbey%2QG^vx4jc*V`ZC^pHU4+gz$X&YGq|P1Dl8$l(x|X@^lNiUenGwP
zWfEEo2L8J+X94GTWjoi}E;ff7^ptdmlCa*%^(4#10$7i{^fTUaVcy5qzl!E06v!(-
z<95RwHhA2s7_{ZVr2dLpQxy_kA=mWOQq3V|$Jg3y7k(tapSr0aM?z(v-|i8`W-t-Y
zeNb0a2s_u(PM0xAXnA+7V>QJL2KOIbaylV`llyxkh1ZgB-KUR7C#y_BCq^~%@VFRC
z2T;>q=8!N*!8fVG&J+YzH1u~LlE4#X*={R8lTd!b$f^3Z3HW}t4^vN<#9Nm8pDP3_
zp~sn_zJYWTSf=S`ZLwbpy&tJDKF=wkA*mxooNWR;ov91?;nEne_LZ;h8D)&UXsEVh
zh7F+;w_7|sWe^L46UDq$P_TdNF#i=c9FRIh*SC;Gg*EiXGJRESit@@;j%33wlG(Xq
z6gh00D5Ab4k&)*9%xcDl4Jt+!{_*_sxXJV6oUJGYxyp(!J|wZ>yyi{n^{?`%@pxG7
z#3>3o`j2^uFR{Q+sq1h4xB`A!HCB_VLB-6H=ZBaat|S|{|6Vnqh_L~C4{NnjaYSBo
zTk;qSu1~8(759;lW^A!}OOP7gj(D&oW1IyVe?Pbg^($ehim2#Yej57nm_*#2VL_FM
zr&QahGPY%m2x#7*;ncB~rUV`~c*h)+D4SJ51v{~}cwcoK5q(%}ron~@{giqZFB!jR
zj6HtEPsg;N&9=@P*|0H5w%1jXf)T63&MMxZ<JwJ(E7N&wh)lRyxxR#ga!r;sS3Mbc
z=eth4-77Y{bD#e+ZcN1i?aI-iZwxdpt>SSpHi7=~>{mZJsOb6Qedwh$CURXd>*_sa
z0{>+>UJvqC!__flr}sh{_<`rwBY$2F0y1_pA55uXhYolAhGY%gv+3=MmC2^?H7!Ro
zYab1lJD!cZG^T+bOUYh`mYac-d`;b-zch3+YK+d+(8R*e-;Q^jFoTFt)m>)E>iDW^
z{Yxb;O+0QiXAwp>2a};A1upaI$UXG*_lfPAXreoKE2`NXstxt!SV45$9cfbe&|4E-
z8g?oa`dWZ~#O<CRNXH}|fgoEQO>}EJblhdp0xrd^VU|lU@HT5WV%4YyP8Pe#_vc%}
z^$^*K3^xXzXBpPWhG}5A?CNZH9V-whl?);!GB7J9{_@ioOkDA_=+kt)6}<GS{h*f5
zKx#du;;I%C*)iqR*VfiB^@B3mRm8yK1Mw;t$iSR)jP;jmtU>0%%iEVT7`XFiwA8<3
zI*!^d?G#ZVAnIYpv*xV~EVnm&!GBC0^Wr<b?4k$=pS?D7Oq+o*by-)wWYO?i;*{9G
zS^^|%fwFvzjt-^E&xxd|p_3Jl#=c1cl==34j6Xm}<^I#7*W#(DySz@G#SPHb_gUh)
zBprV>IFi0bQqWe^^RzHOz;h)|H_B7Tmb7=l%O_NE#@K9iA?JAo*ThdH!s__`0d2*?
zqB7c<*)}|yB0xRd_LN{84ap_i-!JGXp^Z)74I3n&WKn%_?U));3KzP!r75D~zu!$d
z=>(J?OeAJN4Na&kU9FcZ;QhAFbJjKloVF&dG(S(p_}fAyw=3naLT2P2`-?Rk-RKv%
z?;i!1iOGb@C&}Xb)}HTu`PPuDyK3XjKnm`yIw|pAybOla=PB2&um;|d(SVFhGTt!O
zswgOt#``&<KG9uPoPH6ZR~)E{ho0|PET5CYTCvK%iT+kl9eCX@*iHpUoPNiD3X{Tp
zXHy5|KUu=refxq;*vfdSfv?|0Pzt5Ow^fEGSi;+8Q<3lHN*JQ*5l?$0iH9@yB`5P+
z!p|kXOqq2gJpLlL)2>1imA4P880T7m={^6Qw~`f+a8{2sDVIbSj|zWxvISh(+V!xY
zMFG8c*7Y=^B$ji%7*D-w4!@h@#z9d5ALQkFG|x$*+}6C25DRlC?c8wh>tT7Eh0p1M
z)>3Fz5H_6DZ3e-r7uPik$zwqf-<3aSr7#M>);7=#wl^;C&%7ju34Y2X9T{nCe3g<#
z{b>rJuEOGa>*bJH7fEg{mPSu8eZzw%P2q&knMNN)IW%UTzW&HW278|c6D|6tKwr7_
zNb{U5rt$sBJMc~hi(E++)=y2~>cX+b-*05mWCJ6_y+jt92Xmb~<4i!x@}_q6ds$p~
zGIq3kw;Uciq*%V0ZUPApeAgxXmBp8J#!2Vh<Wa{bAhUIl4Zi<+&Hri2;Z5dZz)5Qb
z9M1Z0{qQk1NPP@C_j<b=dUQ?C?Xprt@w@%%606z3efCRscfB0y9ltaw?n1)zFWX=A
ziLqgUZ>fDJSsq=rL!+&BDB-7L<9)|puwdntLFMRE@|etCWqGqe8Hp&zh>j~PP)t1f
z?Ic+NdwJ$S@EJ#vjs89hX)LIj-&((`UID!#wD@kSlF{pVVEDD|ED-VEn{gvV5$mhW
zeD+vS&?-+!A!a=b-dbnZ&Cp0#GtIi)HcP=PY}M@(&MZjT>hWL6R}$_akGh>LrDELy
zbGv-b{Ox9~HD<j^NDdt;ljZPV+u_I;GG~vlD1Y%>gED>&@ebruqoM!mfom!|SYX-V
z=K7&l1yBBM%oTV?!<W@bmXs_OWV<vq{ko@$_PXqj&@y$LQ?k>qs%OFNNv2lEQ!+|#
z6|rM(qhrd7l{_Z%EHIrIKe8c~f=eBweN!|B>WH|E$q;OK(ZJ;0BuvG<3$5z~h8Y;1
zUd|tv&j!Dasu7zDRP=c(Uz~cFiHoi@_mBlPZ20ZobH`K-#}oZDNDK{JVYKSer5z^F
zQzt*D-=~ImSqYZTH5yop-YaT9n83)v0=wB@8b)UYTnIPN#Ee~SGF_3TurI&Rl;;->
zw>1ii4(4j&<{9zTb^K;9I&3@VpUUB#NNfGq5l!q|MfLbmY6k46TQ2PabYyQ_<GY(z
z3m@y<N;tmS99GQ@T%1jzqwwgfl4wyalyUIzV9%RFgOaLY$`?B7?*DP|;a5#0JEiFp
z7dg69`>@A~!}H|Om(koeG;uNFd0CB{B?P<)<610cphQ+zZS5*e^i??4v*(v3%<UZO
zd-R<1z22UWJ=v^*BDc7&8K1U-4M&g0i~MEa=4A05A(9%H9wqAZ$j};22i;gaB*sL!
zH#b!E?3gHWKxm%XXbnAk23<k~nD{(3W$E)q25MJ~TNJSg*d!<EzGIq!nW9q>MP76a
z!Oi>wX9+M8)Oy%+hk?C}e8~s)>ZqQ+Ek$XLfTd!qa_<NRE@=c@j$zO+`E|%SHAR4T
z|2~}F!11r0lOFe<aI2xL;hTncx&Z6WJl8*Pj*hk_@@JonQLtQ|uJ+Od0G=h6{#2pk
zj;N$0iNj<Rd0jo^!<qkFc3@O9TODcL1+M);DtII#t8Z2ZK+!2t{O&gzzO&Evaq(Be
zH|gFHYdP<|E*v8s;7Y^)v|2!m!?^_J;(W&<0qq?R3dSy~VR~v3*}qdBMF;aDEN>Gq
z9<YM<;}0rkC)oyS+sWa%*@I$#0trZsul3`1q@ov3^BtFI85I4x_Up3c1n>?k8|4>K
zP@%Q;0rS2zu8Tc5#VWQ27EiO_mN7COjNQ{K&?$wKWqZ;C^{hc*MLa#~lq$9-FT4-@
zD~Z<x?}gABtRU6qw^f#p3f}VV;O6$1#C*RQuOD_+prfgl>}9Bo;u4<EJl{*8x}SL#
zwbK#;F`oWgQ3?NUnAveGPXg&p@8ur3T0*vP@ll#Q2_yC|Yj_wefx1?{eD9xHz+j~K
zO))J_-pjrEmE|RY3*=p~ZeE;R;rL=h(K-cOidPfS43R(;e4%x3)EtCX>X*3W$zwy^
zjYB#oB=Dkzpyrb;=0L8ldKES!hnll~LL&VVxJlr!r_`(&OugBEX_>DaimL_s59>%`
z>d?p1#aJ_V9yvpv;c(bZ(NS;ij3nL-zWMvd|8?|j^NJ4#WRd@j`0RqJ6h`0KmlJZ@
z6qY7(+|ICM@tm*p`oY^$Sh%K!_p*U0Xx-WL<qVfBDjB`jx$Y~C9pcvWl3gY+`14>x
z>}weus1_T3D=UM+6}!9_LroxT-wmgG&t=fz&-EWX<1%<xK{)M>DCYuEJI?)nBZDs2
z))3wGvdCRIGJBzxldBc^_CMg3#h!=ui_&Fsm}h_Jfow1v^zTkb-et?8SLFVOk1xn0
zIbP3auOb_2?9JcB?U%)z4_1GERViT9zCJJdGZxH9EAriaA&VAEcCLk;ir6mpt*0QL
z!%x2QJ`E>1ywOoJQudRCpQ|ZUJAW1^sYd)te<X+g-B!*bEM+`keZIV0j|E_EF`ert
zj}@6llgCq3aBc-t*^Qs$7k*oN1$h)WdY-K598<-_Zz`4DAB^F6*53o?8x=4xEI?6&
zK|#70?PO!WG5BqYP3KNm#H8CTbGC0O*fM(B{Qg5@Fb`$?YY!sfQ@-bu<7HG_XRL5G
zlQY+mag7OeQ^HFrM(>yJR>PAg<~rLrdqkuDw1JB<F6ZNNPPd{VubXbD>a;O9IqjU=
zyHN#qF7Wv+imKxu!Dq|t#aUpMIkNtHq$*yB?u;uKQ^zJZ(bt2(0?(%kvfEFSG4X5G
zI?HN0{<s$y7IJ_En>shF&I_TSi=^Autw{{rLRRk$>0v?Jifd9uJXB0?k56FOGch1W
zS%#s_23${U5apaZjYqwjy-WkGX-BJ@PqD$Lyr?|YSq+QI#l${UYoLlZ_mY^T3EYjj
z6ti(w4fm`3=efyE6AfZC$rp-DASm21sQfq$XQ~zcxD9EdWlYlQa!#)BjN&)*(o@Gh
z7AovKM=cc4UzIWS#1x9Z7CVwU)R7qT)B97Xg(k0Gg|zNBgZm^*jOFmLf5D$q$h7c*
zVVtRiu{rGM{!>3XN=Nq@vHP@sE!?{7-U0Y*4y>M;?Pcp3_<7;h$(|Z5ESLT>v#!bl
zcs!IoTQ@Q=@5W@{hX^e+w8<OzvcnRF3NiwWB$>Eic(ZqSNfTEEUf7eQZUqIN>4K}=
znfUMJ;w$ehnmBF6{%SL51?Fz2T+8E`cu3+}PvQj)RDZIo=tQD5Oo(m2H=4=h_{X>G
z8x2gXUrL()B27SJWyO}|sZ6|l%%Sy4Edz~C?21`cL;$}{rfX*q6OWv`Afa1GN8aWo
zGhSYRhm~@D`!$&8`oMQzbBH>w;}Yhg8Ud7g?vE20WMEAIcW<C34S&4*;q1E(;9A?`
zJKw_@NH>46M`MzT$I>+<<F*4-Z~Ak?`ZK3j%tl6jE~DVJf=JuEJphx>W7-1)=-6Y>
ztH<|B6}N<!jVSK|;LFI)q@z0i3wR{go1u)xq=Lrw%>W%6OA@kW)bVSCa)z%r37_2x
zc^tnAAcCDAQyV}-sd;{K>jnj!3--}<&;syW+`(6SNex%N{#C=3Du-X&_`f-Gdc;Y-
z-LpsEQ&E+==uVrE!GjhhYd4h>P}TB?mxt4zA0Kg4-kTte+hiX$C=&$ab1KS>FbXCt
z6Kp{TDZDr4rSk8wHQbFCY_8kJ@vYk*dCOKx;?J_GnIE3kz*i&6v&5r{8%;#JMxrH9
zYx^iq+YskJT8g?Jys3-=jlp++T^2_!`Qu;ay{w?3X=mC}B!}|_-*==piedbn_va^{
zS;7kcfWvuCB&6C>hcn1xn18@5uW79%45(jCd~K|V`EL$y)#?&OdjGx5sBQ~LZtlLq
zXQqG>8%{;NxGRcV>I&svI$6Nor(2SmJURYXtt622MiiZgT(@3rH;1n0N|Pa(a`?FO
z#NHFOVmKiYzqrrA9As7{?@}6;#iTfepX_I1xYi?56d#(w;}eCe>uqFlRUtmJ%N0kT
z+S?oF)|dfh_PqJe78&fmN$9FrOQ3tOV`$W%Da>7Z{2|0!1}lATex$Wa;4UFIpTZzh
zh%WKHmmwsBHEPdtiUTDvvU#uU?QbUVGVrs^z!Pb_nqOU0D<Xv=qa%{C=_YWdW@e=R
zx-^QqqV3y9Qs}!Zuw8&+0yQUi?_IwrjX}xry4?lRc(<^q>17j#58EZj^sA(?s_#M3
z>KGY}u-UhJB9IM-owZlDc1h!ZV_dg_f@M*yt9UkAkPRgurT_acr>7<VFfa&~Lm~at
zjnj8n@M`_yr$h%Cj3NyrypNVgd$s!x72zxhc5B!9bwLJ|d#Bd66ewU<%G8pQ1`Ec0
z(;sO`%HrVb#->G%FWAoOpQxKMhP``^e0Z5Fi@AG7t((P_Fl;F333rV#42C9rf5Yh=
zE>}KwQbLr`emG7cHQgA5!WS=y_sd~^2~Undj|z4<8#fLF8AJZ3j}xZH<&p1-9Km!X
z<79Y;QL&>j1fQ6As^hPK{vSL#_iX3r>r6mRI@=gNhK0IaAr!IkuzDqpMa8+_2Vk9n
zF-T-wF7R8y(a*s!_#vQ%%I!g|tt?~6E&Z0#ZK{O-Hi!N9>5UqOk3EO;oc(XPH)eaf
zDPyKiwa>#A8d@ru)ZYm)hE?S{_f%t4uzc~g)c8epG@06a@JX&Qc-)Ck7QCv8(^0X3
zy6JR0t+?`eWv?;lSsr_O=`$IFRP%yNLm8+jZk0JhV!?m8=L?UYqhO%ry$4c`Ozem~
zcZeLrf~H$*!jxU8$Zyx%wO&O7qbvVvpL@-MAlk@9r9V_0d+PF;{6Pcdx|mBDer&kJ
z6MA;GN)1VRn`bpHYNGzjl>F+CY)Gp8s#e9}!&hFRf1S=+SpPXyKQ+w+e8`a_dgAK1
zpJLNRf3AhG-`vZ2IXUE))pp>iSI1wH?}Qv3v{6aaq`Y?06yWbbdx{?&A^Og{fE;c7
zF7j(SyV4A#ox^_h&eO5IIQa(89c?U~9qRZQZ4R#*cMX3_VIVc;xBlL0ZFF=s;OTR)
z0O#hRb5oq${(j%gme&c|ocsLeU7VsN2ze|cb#7y#XqfixI(cn;<|gj`{i7w|h4+nv
z^-Mgga-eSPkQNq1&o2GFWd%PL48kgYFtPJo|Bt6Fns`UVM#?G58jPs(HLh|RIC*lU
zwCR}!YS+*W&(jDfd*AV4i;@PmEU#j0ZDC^0FNs`(76P0mNGv@b4Gh|v*!le!1FKC%
zxV_W?T-8}+6@5&U`1fP3-iD5i5sMuyJ^=Gh-&xrQnOH&f({1GRL8sLNtY2vWTC@FY
zRw*#iFA%4klGSkG>~d0O2|)PySgE;F47`>wLdjC3;>HK<E(tdPyxU&C(&l2I>276Z
z=NK}cvEM#ma0_7Z@gkj{<Fmt0o9!+PD5GOs-$>YH0E&^w?zd;v@x)Bq)nH!|wmzST
zGt2={ew*y<I6}j<-rVt<r4{gh00030{}h*ZI2HaE$8DKiTzhZsHLtx75mE>#q|C@x
zh@{9U5%tYTW*Q`w5h8Vul$mT&DwR=GW>Jx!-@oTM&w0-0^E~JMdcQq)H`LXK133Ka
zr9Ry*je}BsyGLpGut(jY-Np*wXzpfuvxyX5sATskQXryE;gY8{KY&fYW=MR9B+?&n
z`sI<%jiGnb?C8)0Vl5OS=!+$gZ&gfSfy{+;f_H1YElt29d17s-OdM~Yl@cmtB%q<^
ze8ImqV@Mx3LAN0$h7abCO86*q;@8QYoo~Sy4s_N@JC%vxdzmQ?jRtn~6n41TQf~wg
z{#}*)wL=(%-ZWHGOV}_yA<0jRWCU+Jl;Z7H1yT8a_KC)itSF}FxbIAXA*@vnJ1Vsb
z;NjY^`)|Tok;ATHri#-L&Ml7<yUO`---O^>U29fUHVXQEH^Bgo)d|qdmGdEKzi4lq
z2P+0YY*i!u(uc0KxYu7>d2u44VUE3;6>oOlS9~6%4~NPQ$@csv;%Ds*4FN4Sygg;Z
zwKk;(KQvNyx$Gh$k@Zhy`3xJ9qs3EIz4U-;<F#F~jt6Te&ng!_XU8MM?Ju5x)P<qP
zZ}(^E@t|ws`p(i04ooU6oM-aY1<v8h74}hX)PCv{CcDUqJ520GjlSu?71e<YV_W~O
z`D){mlo$a`lSBFLozMZl-zRSDbmc~QTDMDwhY0wjYNRfQSqDaPztG$^=0?5%nr}a@
zap8U1pT~>}v?0^>wX2gJH*!zyDXR(R#yvEHP19Q1;B#E|_7iJvv{QYsNj<=W>GxDa
z#)q_^_j?<wM<_S0y7><7vnQfMZqVtF7%fP3+_>FyhZ{*DhARUHc=6*jedvm`7EJeN
z>D^o7M)Nyg%`1=bAuUO>_0^CjgnN~?HM;R&fKzywR}nw1OuM-Gr)$E+IF21H13bvo
zk^C=eTmTy`|3w`eP59dJ)TY#(h#7X|(;mt~80~)F4Y@QyHTT(+)jAP3HOyk-E(>E-
z*6GA66B=MY<6~5DpBGcsFHbPCh+^b5ox^({X@Kb88;;ZnKHRtT<ocg0V)&6KH}X!N
z21E^YCZ4wC$3gO`ODuvC*zd#8=bEemg6*p9g9ZZl=GUy6)1m}U>-HsToYH_BZ~o@z
z8Vce{{f<f70Z9y)JrT71j0VvAlcJLBg|Mw9?1l7WDeQd_I5M1}0lJbScSt9M@&4fb
z?6L}JbbPY6H?mR#A`XbX{PaKsrKM?IZHi@ZewflR@md3p`>7W{{Vj@)%+2#0xw2TI
zTBA<Ss|g1t-%z6+#nCe0_{oq=Ic({VdD7&m2@CSqo2%U=F#284v`4Z$J{yYp*Gbg`
zStxsOmtPWnvo472j8s6=P!e>iYJt(}ncaIwBr*CHVfw49A_ktWEg{xuLA6F1+eWSw
ze(fXlomVFz-OI0S4Lh}ANZDGh!BrX)Nn)uJ%Oph0u%G+CYlFPQ=bID}8T@fVT6j+Z
z8QV^rdm?&E2mZBLtG^nP!N+YT(<?GcNT2#irX)xg6knWwk#|WJg<trYF`QSz;Hr1U
zgQj|*;_yz-%SaA6L~jVKQI#+=-KA<%QXf8<m4~;E%b|;CQr$|s5}qo$C-aoW01B-=
zj+q9^BXH4pNEayK{UnPTrk@57H8IKTKP8WEgM*c}>nov)L-M%Q2Sd2jbgOgTQUMcn
zIhKEwkkRMwW_?zx5$L$e9G}iqz@aJUVU__B-t?tc>n|_{v5mso(Iy3qu>Gf()TfAa
z#s<Obz9x`NZ_BjYrhubGmxpg%SHKINOP;zM0Di;If01ex(748<A#S%kx-!Hy@VEiI
zDH2H8bw&Y8E27?JjL9PD@Xm>~YXIIyKIr`;D`3>MSN{7PWRR$2pw{0FaNgv6L2r{h
zveU&mH=-1Nu~H>+eFtFXat`59k;f&P%hhozlK4%Z65H?(pf6cd=jC}hd~W{T;)Jz0
zrU}3QVn%BUu}L1hNv~w_dzi_YIcE{H_PnK3^b_D%wWGTv{nj44Q%ZCH6U0fW+qul|
z0On?>eT^g;Y-^lwy~)InowX;&em(+_iCvxavzEp;*>1zUO+*a-5`28)0)V~J@y{~e
zQmE@1tiM{tjWfUFcp9Ams*dJ#--(sP^TkruRo@86^Qp_Zev22<v?f3H=SX0^#iQ}B
zuQ}0}+@jxGVFEpTw>lky#4$ycZ}5y8JBEuUwrh!*01S;h+WS}(gK56px$44-#AO%7
z*)(HV_FawoAS#0GZb|o9ySAb1?^nM*{xkw8B#t=b3Zcz9-M*euW;|wcyQ{_B2wcip
z)-*|ixPOgJICqQ*`&e8BCZ8KZOG?@&r`P;w5-K;m--ij=ZhU0)QZj@Ft9Lr@OZl+W
zpls!`9uuan3lc@M4M1ut+&26IFZP&~GUwVe;c{S6eaEIgsCaJMX^=_8ne8J1mDiat
z<&e#;<t;9Rb=>3UsOG^+>J(X2jv3zyCJS=D(*s|IeT!l9Te^MiM6J<lW*j<cyC=e4
z4_>~?KlXpUt+tj|^{w58{L22_VePuW5gVN&N997p5$DYhwJgX}oXWSuOc(S+{~Eot
z<-(<6&gOR`tQe;&xmUVH2d@7Z3Tj&=pqQFj>p>xQeDpp4oQ1g#EUo`>Rc$1oo8_Yh
zVjKsCFIf1EcWc9JOmQmtKLRe)-}>zFj}wi)D<=sb(1w7<W1I^K1T+pRN#(U8;Hys8
z-FjcO0Pn|GwVxy4UY~opfht@$@NK0f?2Hy{r+=<Oyg|U#ri=Z#qTI+LZO%n6tOZ@|
z^gd35Tm5e@YAA~GV1fG(w_dX*&@{_wND6SFDyJHySDA>vn%ZCZcx!^Xy!d6+a4wvk
zJ>+3;&x@gUJGwp*G+{>2U&rn}7fzkvd=a0_hvCnLKM23jfOEmmKKdW##`ya^89J}{
z@!x!mUrM|N{Af8`6}!TXJ%!?(JII14PmrH1+o1uc+1zgD74o3br|A2K3x&}5YH%pu
zb`9v`R?_(FO2o%+c*s(+BG~FE$aV5F1s;X1RwgL%qIuc_$sf-|aewgViHj{1xLJ5D
zuY{WqznIlCeuxss#LePfi3$pQTB<7a<>1G&d6}9nB@!4g(DRkIhyteyd?%+x1kkdp
zTW~Z}5=*lGjCya?jb*;|i<=6f-BeMPX{r>S?cC+SQ%QkL#!DlgV}$Sm{fF9|G--5D
za#1qupa8qYe>-~Hgpo^}-or0j206TzGiX*QP&q0ppe-+o=jEhdzPKriGI@KyB&%t_
z!}RF)gll4$JM>hY(jbQyWXFher!|1O_+W9FQvy8_e*~v?%Hyc5ou$DRH?15uDh|Dt
zz@o|0v|pnNc>0)(t@}PrXe+_|zh#p6(&)jXukRG`RM$89&G(uRL_4o7drAsJ!rXHB
zM@U#Aslyf*rv))=*Sv=ur17TVLCd5jGF~;(3u{-?hK3_SqSq8<Fy(b)XJL{O$}zZw
zny+bt!oEQ6!VMYh$;<iVudIxLAzuEq13J+1q7e(aWl=0gXa3neW#lJoPH;cfg%QEZ
zoWEQA+Z976*Z5Bv58f9xyx5=zXJ3SR^zW3%wb>U^%YrIc9t=mq9_zzV2lIZWZ}K=@
z?<Y(Cql_fVYP#kN16V&RLp~X+fSCg{c@_D}__$ClJiFHrIyU2fk{1=w`2=<I$+{8>
zFlG^P$Ou@AvLnK+6|tr)g~TPMglqL;yjib|Avu`NSusHolj6SIn4}{ky<Ge3O1%j@
z7dXuJBU=$&T#!hpRz$T`8g_1T0NFI{0Z38AFl&N(x0(X-bIe3sECLYo_<gf{uOh0K
zxmOsc%i+}CcNO2h0H_IFc5GQwz-R3lS~IU?&|{ugu}{(zzCS-!tsAF+9^am>zh#id
zl2^|UoVPLs0fUtB#*gy&g+5A*Q(qF*cUN}ux|>3y$;+k=MS098ytYwU7Q>JVb6Q~!
zQ{b{PPrd9ShhEC})AwEz#;2dHDxNu*LR6%7Ky{=n)_iGnaEuW^eZnOu(l!N&g<R6c
z*)3jdFIr_P;6>L9uR9VrOkwV&F`Z3{G(J&Y&M{`?K@X;g=N@AK4@4rlb|gt*M8I7p
zLI(jeNA<6&767z(JmuC)ki^vK18<5eIgm-h$Gv+$fCq=3Hz7d+=M6HF_8(zI^9u6F
zmo3i59Z7%a#3_!+-+dVi>X^~;(BoKQya_Dyl@gkjMDd+%-P^THM$Gq=UH|#s7@mB)
z`f}b=7=Q2P?A!H~9xr_D{aLJU4Ca}%v1h6Uaicha<K9C$Tr?_D9?3F-)8Z$HOkx5k
zCHUZq<`gZS6Cxg@oi_yfoVWz@JA4?$I{Pp-gcdJqvTQTlWeE2#eO5Pd;>G%`-hMg@
zS{&2$rXDUcfPu?WR}YF4v9L=)FZd8GGHzZe<6<^|Jck=|XSe>vNn|4KdNnOtN*Hzb
z9My-=%ZGS0dATtq$ysSgn-1%`<=!py>On;EbA~cwF05Ov_;z-N4kHhWd83{loYQgD
zd7n(cTeSJSzEA0~)uh=Yyi6BvHJJ%T4Q|I=-XCTA8W_+-kn4f6pe{&FhMW``;6$P6
znL52*Mszp#)Dg(kf&W$uUhiV$#B}#y|0#NAyq4u^WzV7m^B3DZD+4(2pgx;Ct<yG4
z*jcN$a!wn*-8h@YLBoMpHwxd+KV`vFXUXZ(Y}(M>-CuUJl^xAVHmmjKY?ybG<sQuy
zEpVKPh*_y&$AMOR-7iz@X!+AIu0~u7c$eGGN%pYgOzOG3i#IsY`%p){Z?z`qniGS{
z2^=UyZ*Vltgn+UlqC0G@G(jP-U-#T84(!sZRFE;^!lBn;+2xZOkmmW5jh?`Xu~wW{
zvTeAL!|?;x;}i|xnQi4N>*7R-uSIwM1@hoet*2?DDjLwWJR@#axgDbdOy@5Z6LD|c
zz=wnHC=mRH?sT{-0jXAUOXp^I@$TV^m5=_Tz^$USTSu1&sP#nmo45r(reAE5J8DOP
z6KcBYRz+Mmr&mm$)+m4v|CBIn@=#z$|2J3fL)>Va=vF>yA%q-DG!fz-)#3VQ7Jms1
z9t=&-kC&Pg#!D3v+fo|TK`w1VVo`*M9#L|;=_*8V-TY}H(^Yk_R(p7Jmk2KgI&n&`
zoE1mXhgRo|M0JRp(0o;(&W9o2r3`5vOCSnnT$PPghrl2MA4_+BY_7V0&#7hWp4!M-
z^Jml{WpcaR#bN>MO%1jEJSc@d`i4K`uc(7?AJ@^OH9;KFq4&7ID2-)SnGMqQTYH8h
zGo!yS)+MT?=?KcAWybV7t66ne7<?3c<+}))v!*cmS;^tZ32xhM>J*rKxW;CEUJUOo
zv3G=@l1H1>&oGci0nx0W7YBtUa3Ewe2&)y)?5kNi)A|-4L*o4d|4JZD<Pnas&x&|D
zPx||Zvl_s7hPmPECrKoEH6F0zAY<w7>R}g2O&H-`U8n1lLcj3cY*cwA9JuxSA>p+q
z-1xir#1EyB<_u%~Fj*Pvy#}2{%d|kkD~iFqS_UuLUN;WsQbB4t|J=8W+R%FD^ke;E
zS@a!nuzB69f_b6;MGB<pzyk`&+&@JQ-w-tZBOFpiU@3WKQlJY5#txnf@sh{I*1j;O
zT2<7ghFX7rq6h1l_fDs)C}8oa9D!Tys+gr+WtTdq4~K&$Pd%Gbz`U-v%Hdh6*tf|=
z^%CFmnY{6P=o1xDvS)9;DX%I<=YIM(;9vwfAIA#AXi3;>MC?3ZrGn$OZxhd)Hip#}
zGp*u-B#her>7SD7*1KGKYZ|VZKy`aU!MjT&y!0eQs_YdR?+s9$SL^@?w|cyz^0(%A
zU$7^tlF;7HYvf`pfcl*C?dg*wj2VlXdgi8pVnM-wbYxB8Uvo7J-B#a!`Ip=5z2wl?
zO->t+nZh)4zvJd3MVzr=HGH~P24f%Ao*%3*g>Kr^)IecHJeHA0=dCA&T2BwZW$iJA
z3Oa{=23G}CQoh$bBQJqjo`u>U$4p_T$XmaJ7<m*5@?vgx62W&A+KV{@rl2o7M6o_2
zhxLN*7mwx&VA|)%07pQ$zkG&9Qz(1MdO<N<7L{qsN6i&@u}vnVH7L^**l8+rS@+4H
zt@BU51a5BBT`hQEaljNTxirEm)ud54IrzxFN1P}l5NONEX9_7SE|Os^QrMw0*IB^9
ziiHg0&5B!jD*pQLjLM`0`X)$Ib0wHiE=TCWix>c*lFcTQ3*xBuQTj&ImaYo3_Q-Wh
z1KjTWLz8n@6tBcv?!M|ogK=sk#j0!*s7tQp+-@t3%~|$(Dpl*$U9S(cotZF(j$K`B
zOs;~+CTEy0`|LM$c$hC!l4J}{fx2~tDf~$JNmloIvPw<dkZ9M5FoOM*R)x>Qytr{l
z{bN<aFKSe5g#8B95Y~zpn^&xe7}v*N@4EPt${|9zd4SUpYzBMA6eqZmwyC<IX{%mp
z8h7^lVFPHp$bC&Op9{saM`M!%e^IXt+b1j4>4Vr^a>Jn*0&dsmCy(x0r5>kk0}oDp
z5Kwv2Fu%l!@7GF81kbEd?Zx>P8v^xU*At!zOHB^^!T;<{-=E)9v#P>byB=L|US+=c
zu$B$S+s$qrsQpW2x_(ngS3?*6bm-mK2xdi}!=IA#OE##pXEGO}3w3~HQfu$jVHWhs
za=Fscyh+to`OLu2zLiI2Ud5WFY{Rm#6dEQvT09sl*3ElH8;s+Z+<D(KW59uZhvf9>
zu!yqzQp_(c$UDfWmg}>X-<)@9N2kzZgxSS)t7BS_areq~3w~yN^^r;0afSgmmgsh5
zEN%Hxzv&ON%S`x<Ja(hNoe9f0M5GR!(1bUMJ-wxCOnBE|@=NV3Gn&_CzG|Y;gn+)s
ztna0nQ7}!|)$<Yyj!ziA>&wu9q_QLd?+9kBijyUD*t4Nu(0PMqNe!4ckF>J=%8asK
zN3&d1IMDD|kXczH1>zktq6lZVVM&jUP&auy3YD#Vf8k7l7}}tfAY&FxJ016u@iqbF
z47g4A|5k_Nm)<;z5@SW)bya@RPA-%TF&V#oT^(Yc&rGIEv0;%#_GS+a4|2X^f5~aD
z4*r$=dCoTM*q2u2*I`S<2YEtQelw_p$aDwI(>xB0ZBMLz_K+7}G!KVOq8iAp+4{_K
zZpZTDC-;PF^5Zss%4g3cHQ05fDo(_ifCP0qj#Ir`ceh0EE@H0+NoV~D*Yvm$v`bRM
z&I#d$A)U;a%+?&1dF|&EZZxm#8mn>_!TCc{5KFHHj;-gf#G3KoDVy$kcSkYI3Dm4%
zf1?T$&dE1Qj}lQ`X#BrIO$p>5nZIWCLKO@T?;`Wu;YHQ6N&DOFBr#^+YN%SbDk#*n
z@m!|m#|)PevA-v!Fx0>IXVVW=ARb{iXgV%{(bF^$`E}AL^DDq2RZtDw?utKJ+7v|A
zX6>?se=>MSHT&Jj9yPdamM^mBwlG?X<b57@l*85R!`)&zYH%&u?qJ9fQ8ZV-Hp)>e
zkLlgF26wNhL3YfVL9mH9PTak-Ctg4izi#@c+XtwFyX)@Okz5H(7+VxgK0`un9km_I
zf7D^v=;55(HA!@r9Z^;LM8=xbFh;Rk6u4s7*mmxg6hduupNXC_E`}*B%?4?J%&*(X
z&>)SRdLcH%Qz|&@`R9R=gC>-3zPLTuErUam3|rwy74PgU=Tz9I1-5hY^2QUgxGqVS
z6SY;tNcr2DEfLxv*~jGGKQD)VHqBP<)oM6+GrDE=z79NjUBTq@QyyO?dKXErsNtHo
zO&>pv9<&G4Gb+s~pn#bfOA|pIG4I_X*;^lGy&}ldU5aQITEiqqr;gm?vG>CI4Zx*3
z|2<a*35jGSV#RYcJVf7<S!-ql@|w#%CMsmq-4Hrt;jD&W!Q6NGo-xFW1-uNsMMj^c
z5BkO-s`!9Az2P@Kz{^`nSE7E9QB$CX@5-PuK9Na{9K8Wh{PnS(C!-RozWlW}XPS(K
zjR)?Qs++>Ynf9cv88R~L9E|F$Q^cReUt;X;m;y%v|24jBGUgO!1d|=N@`}dzsS#!~
zaH;I0q;rz7I({JY&43KHhjNbx+L(cm^m$Ip{UlsW*UyW$-qQPpNZ+jEW)RmO^qV0<
z5h;HSqm#46@kF_KD_?>cOn<w|GZdhJUpV(OkM#<n<p)d8o=7vuvUv2P(o7z`c4d6|
z?aqf0mfhK2PG(>#zqgNpUJjpi2JW|W;>H8xrVR8FW?&nA?6r5T40>H9{^mc!fhPHj
zkGaN8LC$hLY@3@jHc-BFUEIZt>)WDNrqfK}W7`Iyh(-!8?>Sg0!Agg-Id*wP6jPu#
zyzq&oLIUGkU0aBLf2q!i<tl3f02-^$p5#3e!>Ae>nwr2BDz7*X?hFNpm|=ggs4as2
zRQlGg`R`PlcdvSaS+?>~IY+?JVL?2yx4Uz=X^I*mAIZ>bVFFp(bSrYN^5gs|fxK;X
zAE*Ks+9}s#jKT7PkbP<*FKSBdYWDpyN@cY_{O9`vBY5w#Gx}F951wvV|4{BXNEP6b
z!v3#@V5Bakb#jCYv&=@LtMmJ*CG0dEj0%RpmewTJX}qOtk`@m|X$Giq9om~~0S4gc
zVCK<L%z?T>g>_e@hp3DFAMz(_^dYZ;V>+F{hEKgN*O1FbsSiEHGRHUdKw~2Myx_}i
zct7pZ@}l85^-W=-!uVc2Q0y}iP<_ROmjd%z3<f8tjP5t1d&_lUj#$2X4>u#WvWUJt
zIrf=4=5&ek8iOwENj81|;R-#PdVG-V5SyVkn{K})?5hJQ3#9^Hwsd&)Y)JM{_AFIK
zeBMl>OB+@nE6ATTqQ$No;ue)!KdACPg9a@c+VG#E-(e1S8cf`o-I=()Ky6Z;@-M%>
z#T}|iWTC?*wOsSVnXw;B)YdPL$6xVi!EVOCikFT4Q4cod6*DcZP;U^%%*8HjaVP$n
z(~F1=s^SM8qdm;4)Y3^$(If^<5D2?t-?g+(oycuEKdknfS}3E|zqsXl-NJ%}mTT6j
z;(oImso{UAMW0T+KFFv6!0!Csv3i}_<^1&E-<KQIZ|{dcJ>Bxv^iy}7p3bgQ^$I%b
zZ%NZ&(BLj!K0XR;<Mn*pd~kzGe3aOgaf}v6XT80BZ>mG&!ZabB@gFr);*@OLFda&*
z%WkXFRtFap=H#3FN1fA=wC1vBKuY73G*6Ej?7v1eoLk+beo8;HJ7|&-nN}JTv;5S+
zCRV(zsDuXjs8nZ`9A-qGq1=5;YG9~mXB+H6i{{oDWA^?mIJB8!wCbP=`<N4Kh=z2?
z^Oz{|=@1(R21p48m8t->VlDiVCOrZ{s_;r22j0Ix35@@%3?~lEU6-?AKnri`vtu3G
z(N1tWt?iI9us%N{<(0sQCeQ1HK1y<-U*Jd4#g|H;`iyIodyEMmZR6zr8^etq-C{>y
z?^FUu=N?I$t-ShoU7=;<2M<Q(+&CZKLx%4^h%)X!Sy0!!CVlWMFD5c_#7cOPfrjG!
zbL1%-Ixus_AJFB;-%qN<NlavjB%jzFSIdE##{O;{Tw8Z`;*FT&V-mcds#xAJvK>{I
z_IwQE62_|hpgTp0BrxCGlP}53g&9BT1tauC(ZG#%!q1Zgd+zC$Ik|A-q_5}ZoiuTD
z+e33cXg>+I-S9VYY~<PEQT*{{21#65OpO`!CxPyGjny4(UbN`aw(WP3LTciF@2&Gl
zP<EB&$MXR`>=zRy(Y=sH9sbd8AHR{n>)%6~i3|bE_8aK9VIhkGYzA6J{$vOW9#s7t
zD1>Zu%?C~2$f4OOxuxR-B{+K8M93^a1h;2&r~AY!pmW`k1(rD_i2l{>+nXwe;UT}a
zIct(Il;`?D--a^K7?U-g`$%B!0ab>v1v1iV+m_ecs)Dguuw~_yt-b#^@J`=XM$$H+
zdr!jEz$22KcCJ?n!;kWQ5As#Tly?aOH$2p#e%M)LgHHxUXtkHGByDl6jXFVyqJYP~
zg~ecBSu7vXQnA{pjtgYNbK<ocu%KhR{HR_IXOd^x=@-;-_0z^kKED=xuO#qmF)E<n
zHSHO(7z(~9p;TpE*9P0D!8yXNt(?V@rk?bgf*mBifrZ_=;4r8C{74)L4QXl$j2SiX
z%k=5Pf;{?Q*Ka}}mP5wFtF20=s}wAePC3{&YXBN?OTOc2N?229)NE5u!TrmD1e*>c
zIC-jle2<edvRn;3JW8bClLg7AHwsO_Iv~z?d0H7SI(wY^Y^aVJ3$k*<_W(>Zg`Q{{
zs-Rg5i%qnQ8vf~!cS?#eg$##17KdzAFzb|mK}eZ0c9hb-eMvHdO3T!LszNHr^5(e9
z%SsYjla3~Tcx(oP4Zc%G#mXpn@l(@6q&)6+qW)@D*a3WYckXgbC}E}2p3^6!WH4p>
zx8>B(9l*9(SNiQE8F|(SWi9;@c!Ak#wcyeYknx-vOx&6)!j&=>1Hu^iXqtX!#t!%&
z00030{}h&YJk|df$FoVswMS%M<Ko_H&(ARuk#-76NLJBOky4asDI^UcN$Hz1ii*!k
ziX=%$_8!@L#;@PMug7`3ALpFM`*mK=#ENAT6FW6LDrTH{ccUoE+#l6&53qvvq{j4!
z5-MgJ8$5F^7eJpoGhUyxtzg+YG;N)t3jTKWQ7W+J#6$b`E)=&|!bdG{_wW-+==5wn
z`GnyTNnu=3zZ_}_iMzViSbtQ&i<eD~n=yvT%aa<b#`r9uC7pw#SwtSkN_mZIXq9A4
z#qbr`BnzM#@P*}d$|C2Zj(39nwS-Wwa&m~A1qj}+PyFy+8dp?vFP!|<N7NczWq+Ch
z@Z+ymvlB|-ou+#y%YTm%1`Q!I_cZ~6o>7>4Cq<Fzmk^M%X^N1&k}>3Yh=BQp{d~vw
z2&3KHjqtRqGX!mwxyr4J=1@1I_h`qIAYN<=vt!oH5?(gpA1l($U`>jAl;dSS?9G}V
zaC4g@<Sr&$i1}&?$|}s<+#5VNx?@}NMyEM~(WLNnWZneg<7!zN7dWtKiNSlRZ<Z)n
z8sMncHi4c!#r=m$S<#K=@AXW3mMFjN`er`B7?#vEuLV}Fkh$OV3)gO(A<ln3HL?8C
z2!gLj8;<2HkcBh6er@*CMCd-CMJyTuYlMY_ht>>vo_lA!`}!%O=gNPxiVlXLW%K%3
zF@1u3d%I<uiPa>L&r($sk!AqjLiGdVcMp?0x`nUxI!+K;bN2{`Wqmkf{!Q-@wU4AF
z%b9Hs94AWHKi$*brw?mREG}i{caWb3-wC)q9V4zUGCccB^`KiL)8JhFZ!+m_vaj!|
zF=B7vz&aysJ=iGC^XBk@AEd>0zXkQ-5kfhgHE!^ME+nwp%b#ukNS?TAUur8gLae#L
z`Rlu&F6jQ`a_5MDMpm((@Cb??Ca$}$jd&NO1NB<lGTfh}6G4rf3?Y+YLiK83+htZA
zh`Jm2cU>$=^t*2lR?r?MZboYBh@EG`v)TPp9sXa4x*gZ~-46^C2UT3O*RwGpJId#S
zyy6ey1yg3_YRfPY;qMo`aG3#lmu|Yhv#2BD8|vfkC5{kxXY~mgAqJQ}&oM1i{!J+H
z*Kezd8zpXj_$-*1Oo#Vej-zKgnu)`mHT#eIju9?b&%|%nqQh_Zu#qy$cA}@E%1uCH
zoLI-%Hy3_E8@?72o-YJDiSyyVemxPGAX0s=%-wyV1+8%l=E)sh#1W(KSI<jK5=yT$
zGaA}8VanV0tMmIF;wC<MV76h3@G1LNDKDuBk2(CVx;*J4#Q1xCIvz|DECrvNJe+8-
z{E?f{mpMRuERe8kk)0)^KWz25c25H$C(H@WvO!{xQ{zeDZ*zp1_x7ASJ?aov$DQHE
zJwp8TRom2-wLmcELbEUEse@UtO0I{|7}0%_pG}5bB5JA8Kek*^gHOX-OAcKcCtd{q
z5o7YM5DHKIJt%#uKsVj-_T|U~VQZqRcBNt!d>XT5Yq3=Y&KN$?w<o3uHwmw|S`1e3
z+*^CG;UyIg^lb{+x^9N3<KFr*<vknx%6C>bSVslR*JTecjLs4*?T!w+f;eDbp29A(
zcoo2j)pD7C<_VL=EzSyCxWK0H%x^0}6`1g>v<wzqA~^jPRE*tuV5Nkm<6WFGoWH#@
zjpM{J!Q|wrHG0eo-cDROI_s2SM$hHr;iy$mJrr@7s>BZ`IQX1gbCtm2`_IO+Q!KEf
zz{AV<h#;`3-98|=RS77qEYBt**`T?hIedA70{2e+UF|xr2m{XEO5031;AoHj%DKD3
z5RrL4_R@cf5cy`WhPNyi+#b=j<MkJXwWS{}$pk6_=K)JUD{UT-S_;1};3E!6S(2qJ
zpa@ad50_dU;{|=M^{oO4l91Q&ZAY+zB3v2^*v&f12ilRVgsx6YL-<E8Pllu-TxY8E
zW^NaRrNHwd9am+6h53EzFjWx>|K>>DuBJd%^GY3Gwj2bdm+*6JRfOECNYigY!Z3x0
zb6WHi;JiiOu~T;yA+RpOyj))t)|iaOzHCwi&96}rf;>tvWRn!!q9hL7t9XNQQk3B~
z^Y}ntniAOg&m533lZ2ELm7>&0DlENgzddtU8RTb~cFO0a;oO91v1p_klu~>D2%J!X
ztM46%?r|B&goIsP_ccJWt(mo|hzdsqDVH)g$U&NLzH@WACUC!0TXx^32Ch0AZgV}C
zhq2)7lAIN7klt~pSKm|v6hn(&omWx>M&rn@B`F4&c+Fl6jMN0Zf}1*rUMPXze|7y%
zT1;5m8`T{pNrzs-K)iIl3WRuuIG?8LKo<vNema8zcHZk7d%CH>YkBY1il{Cq>@aaj
z_t$}BmBebVe|?XN*ay`8&;^-Ks`uo*^&qo2B6(0s132P1GD>#p!Mos$XK^<TVCrq!
z=8X?%Aacy;`2ILOcpa!4xzue0k9*h4zFXD=jor@`&xGlL>c#cX%eR@rp?7>A{2AI{
zz}WZrJ&zuo%xem5D>nz*$Pb^N2-6|y<tF=+OkF5?w9PU14gm9tgXbMzIw-w*Ty8wa
z{C5}fpHkmiK%<8An#p)NxZOLFPI@q4OOjG%#d}Mr+<7JmZ_?qre$eJ3mVbNO6Ga_O
zu!0b-lpuLGI$SQ#|L<#+I`H0kEO*w-8ZiCNl+v^|_^g;JHSAS^aed?bt{2v@C2nAS
z^G_`(m^5k^>y!t(LIKBP1J<zfE4SAc4^6mpd`HAKF=?naQ2b0Evxd&~{{3nHX+W}S
z<QD}NVd#CjG%E7N8l1hp6i$_@fv%V8a&9OW+^>4D!g9tM*wXd3%N9`KEKSngrf{0L
zQIz~SgJKPz3bG=iZz}^ls);lxO(u>E>@vG_%L)c`!ynooR)lVfw0Bp-7`b!czNZzZ
z6;uoD7rkaL4+9Lrx3X83$xJqXBjaP1aAr&3#K|C8_${IRw(>kX%Iym1bZxbO6C+O4
zg_BaSm(M>u$(0*#z_qWI_7>n%ZU+ekVj#}tt&=Fki~1~0eLLR+jGca!yU$1%l0u{Q
z>}y$rBBG~+_;dgqeoe1)SQ7Z>GlMG5aXu_?y(hZaoq!kr<=FBGt_J!}XSb;ke*7Bq
zqNMboIZ$Ueb**{M4ylV4g{i6hXf{(NYInvA0s;e^U2m@t#*L3&jzsdK<g-JK77t88
zq2$kLYUK>EX5dtIsX0GNMMwp;elY=7x!8(R--n49Ptob-E<Vh?7QWV)#RT?W5InB2
ztBtVNe^Yfek`G_u^*u)|jlnQ~x`sojfLL!MV-%&yhllxVh`g&tu<c-zWK3o?Ie+``
zjVt|Ya2+Y0ZPjK7tL2@yuRh;NHYT}CFTY=d*)Lh_&KeoQ*~|}Lm|25l?#6m|zn5!J
zypvhkbk_j-PfOt6#c|TQvHQ;0=QU^>?J_dNY5*pj!Ium_O_K#SDN!kGe8|&qGGxyY
zeP~{BU!7qwPj+p1$y@5fhi6$X=(YCf!Iu4d51t5LBI}cfbEN0^up`BxX`{OyjK3Th
z%)YTg(%iFs1akS25f|VY-mVKzwz2RinX}*y`+UB-y8_4=e)dVAw=M+owwH=MWyKi3
zO4zVl5T`FaJs~ln1Dy%|G$ubgwr1sOzg!T+5x*o#bc7BtZ|}nEM>$acft<cYJ_XYi
zz2#e_bl~r(<Un5|C!SLLY4Z585K@X_S*!|}AU7S%k!k<$-{iPSB%Kh(?EW1g6D~}M
zyKL}qvYZEl;N{w(Ga^`c%B<RelL=={@{i>1;zco!Wy`Y<MR8@_4Yi;*44~1U_uZdc
zgIOcxqb99lD4xZzSQEs60jAbF!yJBG>v4c0ZY+V6FXel0(f|4TciW3&R)W}PqvQBD
zR}$k!Y2hjJbeKp?^cXj#pgZkkZH0q04ybg#9{Ea#I<e*i*$qP2cShUFh(iXy-yaO!
znn?!%c81(xPhm{EqrzL!B8#P5r8Dnt(4pkwRtdv65&RLh<?Bv=IgFtu4_QRe0Vz^r
zIln{^vpS*jq&$w_e<dOrNe5nzfG-0Kact<7T-Ok%fXlZ^0+QnBu;`_fnw=(r><tpT
z(u)=Gw1)|=X)Yb=-^Gt!SC_(psxI5+86{l%zOy{Bn+_f_fBf^mNaM8l!rN=cD#$7D
z-;A>w1AMB_l1=Aikj1f1gFA|fTY^ZsMFaz6t3$Qa9M<8(FAurjHK=03?V<JTQw+FK
zzO5qqwj73-__K*>sG~ukp2~(WCMZkw*~`YtBd@yVDxXstsGX%Tcv?;eh{tz-sN7V*
zvA9b+>I-RTl=;#7b*s)lE<GIUm#Bz|4X^z-_h}+uK)Pc>fiCdGSQ?0=DB*3ltogKA
zEew-WqyGI*4<cXU%_mQkv9N`Ee@?qL(y6avhKuw;tb+gE@>3PO_R27|%bt$QlX+m@
zYXBnAqrzL$s2Favy^|-Jj+IuuiMfhKFx<cR(C&&VZm9jc;YAu9kL{)!?>k})u{L}^
z)%U64CfkW`9`SS(I}@2E^Y0Gy_k7;OA)$`s>N(Bd&UExWT>ABhq8S|97sIift&U?^
zK5VJ|+Gxs>zfyP795N%O%~RzyaIed^PaPk$@CTDKi&{j0{dC!aiH`=}ajS0Qw$a2%
zw_Qn6CjcCEI_Ns#8h9^KmuDqR0~7R{<mrn5Q@XWnjt4bx`RP`-lwdX7-z{}S?vMpY
zjD3dDwHo-P^}X^CK}8WGwyl!o79ey@^QKaoI&L~P$k{xogmy={vRqbM!kdQ=9z32`
z!*k~<SXN(Cz{;Qv30rh5!Qy=FkH=Is<PUA)+^HvrQnJ|`;Z~Ng>xe0DEJGEKK3#G2
z8jwb5>rdVRrk23^`e@Y)87i(<S?o!ADUR=sctktPS;Ak5%^H;x%Gl97Jt9~ujG8GL
z&jltdAZLv9`T0f(9WLx0L3crn{+MWgBhLcDR*GxS98*N83i?9e+trxua`Z;Kp9SpP
zYU{^CQ^2d=;&%4ObKs!|6uWkD3ovxuC`Rd%!|W<G>XID`=H)9NkuL_&Auio1+qMoT
zUkQJAxwA-$T&LY`+6Tbmxx9ULcr7+3IsD!$JVR#OI8CYeOMo8x+u()AQkefNJ0!h%
zoZS6w(*u7a0)89WbVr_(Kw8ZPA}oHGyfgawY5Q?=D5>`C{2eBSZdIj{?A`-p{N%*(
z##d%=M^MFiK1~D_P><@_-b->FE^>?=H-+n~zjsxS3Sq}$#5#eZ9`deP`sD^)Q}`-W
zH5TAS!94F>lhOb5)a{;Q=4VWxGwH<z>MB8GiTrh^Jgb*Hu9>wWUTzG=${DGTBlvJs
z<BN&7b3bXX$Q=_aVGKETbMr-;d9lLlUT9|8A5wC7R_yH|Blx!I9QU+4587TFF`n=q
zCg*<yY>F>4gjQGDymKxWmWc`#oZ2u(Hr=Qn5?1-AvvIYyS#sj%-s?d+>=R_8Q^pT!
zv;l+=F;ORZIWSXP&wEYRB<V?GJ^g-6A86yov3fl0NCxCb#kNh8-7&TYi(U1>+-7T@
zhanq2mpA2CnVls;i1;Y|O%E>KJ#^`60xP;g+ksE23#4w!NAFJ-dZ6f&dM;Lm6)E;C
zAKo2bBEK!Q-Ohfi3+WMFTONI5!68RO!IRC)<kt0XF4q|70>kpT>CQ(iXe+SML-W-t
zywfvTrCz85KVpwD;_tIyNB{JODt6X?ejoZ+Xs!e8+S4k}->_iB=w%rZe>S|;y?y0k
zITN-``Ptb_vf$ow(JJd+cGPh@-+6D>zr6UKv+<xKEB-ZTX&64miJ49U*8BqusPw5<
zJ5<h!TrCC@Ey~=eYt3ajdyWBIZu3vq>}Nw8qay}#V>~#o0T!pF8BqAbCB;#K9jiPl
zkIXglV&1uZa`=u8g=7T%+6X(^wC-<h8{k8JS<%O=`{|$-{N-;@HwQjZBPT#m5V^7g
z)gyW7urI5|Ze)QIO)IkbTrDVgFFHp{^Q1O>=R4JBp~H>Irdr;XF+!+M`q>(FX+ePD
zmWJW$Jou1P?;gjnFv_j&ACz#_0ylo{-T4B%xb#X}x5Qr*Kc6I3dO9`XR?0N%oi}Tc
zVv+qRky{))dzS+KoYI7kKN-)zUgpPF6AOIFpCr&}W5;mzI!$=~RavvqQV`EN7f|cd
zrLe|jA#$aG2HW%p+X8k|uta%Bxme~}{4eXh)JO&mRu$T22V4?Di%k_fC#q%9G2BF@
z`w9)#T~DE@R|(@p@YeSmW93jLF|Ouu3=QPYXY>rxMe!+_zo+V}JjM>EuXg_TPM}?y
zYFoA#Mmr>zj7lluWUR}c8=W)=&UH&?caXrC(|sM{VM^GScu?NV>fc=2`Z5xnQaBYq
zt-v|1j2r8NXk?`(wD0c<KH4gc<#BS}kB(E3nH#ZK9-#%7HNuYd)XJbwK^%N%SHrv4
zwxw@6qz${LTz|y&ufqm8HwU!`>Nw)<VoKXU2Puo-kOp3Pl(g<^`)xqOJ|$=Rz%(8H
zxK{J!X)9n_=7IbBzG-5ihxWYqCk9+)6HzGHtBB*~%C){bw2_miDeb~*CKPxmlqtk1
z;d7d`LytQhwU~#Uh_5<e;MnLTTB(e3y7Ij?><si#bb0R1rU%LRb9FBp6?<ll*%YoZ
z@UZSngXF#Xu#i0YzE@Wje<>Fwl}$3Ra`}Gv-+BY+(-CzI*{z0U7nYR6=uDiepT8dE
zX9SzM*T2<2sE!*GE7<r=nW%d|LsFVz0%y+6>MHEfK%HA#hC>9IxR7hkJoLd7dfWIf
z@T<_!TxK`*%~J+m8Myz@Hpm=YLOC?}Khx0ovqQ}uP6p<mODvAz1}LPZ4lFS=ajTQz
zXGK*y4vtWcZ~qEVfjWhJUYfZ2`d^U~s#=)epA;_}VgbiDwI0~CTN7(G#7eMbXyCQM
zYt@?sEJ3qUT$77W6AR{Zo{6=o;<uy6yCW`HLTP*M?Zpc;97#Pz_Z(KnA@|X>Y%P|c
z9P)T>Uy%l;E>7dnpaSYpKb166tl)9ptsjp+sH5`IyIn^H)}j5g1-TYwE7<>jN=+zH
z4MRQJ<YUdG(B)ytI!|dUU|9*)*R@f_HizO!>v<8JV~zeiIBf~1JjZ4>HK?Gg`JT1%
z27<WR&86{Kp(V`y9+Ua7OBn;SrAuV^xv@*(+hs|AOW?{nIe5K75wim|*n(PD;hUM+
z*NOa=;5oGcrc4wtQsFpD*6V5VTh}i=l}rn$%%@*d&XL1alNRpLHGSmgIIT_-6ALgA
zWf$A-EsGni1NXeXUQJf@yjqo80YJ@R^xuz?#vOLm;<Fozhytf?VPAFwge)4qI`~}z
zKd)~N>z`{N#PzD`T&f7@;c|WQ$x;kOv>Z>q{;!kJ|MOmjI${p@es>MFbPMC}`EA|2
zIlaWbvX}$6gv=quHteka8wv&&9|*0S>?cHBzWOGcnn6uO-t*;S0(hZlDZa0IfJo}<
z+4L*G6y7&Z<>fZ;V#fWS;XCgR5K2KOr%yaGfsoqt1f3*q^xe4N<s08maK!Te3~4up
zo#R@JrI#G|ePxHki`ib{dvw1`iJ~z$?Je{ukz&L6gBuJ4C%OrR(jj({f4OEIeZA#F
z^(x%Gc)D3Bvy)iow6}ux-VkJ&lTwRGe@V98CHcYn?L_KAp801%LnwXPWYI0OKw?0x
zX83_7V$A^&mV15%P~^K&`Shw;vibu1fVgu#Azi?}%lC^uIE?gB4mnMcCBIcaAKw3i
zu;Psjo}%f)sQAZgB775Mm_WXto#+?BI`|g{M}i)BTjxfe6CWeji)hxfg_49yUF0fX
z7CjI<=EhHH8X`klYo&_>vIwuu58Wn@=t3x0Eyo+aKjfX^XJ&tVu8}*hbjODF>cH5>
zQ_F*I`pDW7;#bQw^GLoUHWSTmI*|DBsKWZn9&%ylwLEvu67s42C9|1ECOm25Y3?xZ
zCav|0JRiLJLY6f=6nN^)1Zi2tGfo^`WO~-c8{gupNopl6^mhvbGPuf^cf~qM1^Q;*
z>!!8j@)NcfhrAe|S#0>Z+pmMn*xx!Q-298Q9ZJdEG(v~)tXJ|Wi|r&+<j8bmXcK8T
z&B^H*N{2%i%Wl|zY$w<1s<XXQZX@@a_|)9_ms3k-hNj*{|F17z96HiL>cls<yf)K@
z(p{<k&b{sA`Ka%2x4U<dClc1PGW@ilPIxlc&!mHtRcNdT^6VjPSW|z8-PeQ%VdY+_
zZ#ziy_~*{m;eBLanqqcXEe#YOcN&#=bdsWa2@iFP2gupi+x&%vXz-l&+{0X_iwyf}
z`;V`ONTU=dRNAQl!1KFRoz_hjhkLgByc!{gP1}6$K2Qg`DyN!}V-FcbKjk9(c8m;P
zx9x)apc>eycPZxF?Il0G_iIZwoFLD#D35uYtHD7#Gt*<j{bZN8a6MPUB$<DhXEgP;
zDlE(<y&8TyK(ZD;ejR*&n!GqMQn-4G3O8&I%u?eANe@1Uhx=k?$xD0^t|_~y;3;!i
z{zKX@i9GX4Ng4BGua@8|pJEkA{mr^%=FceER3p^uGqXsJT$FuqL_-BC4!+{7GaM%?
zI8z&9&n=S?FDIjG9w<YQTi6%<<OwoQ=U|#v`YLn~sn>fUsthurXU9LOPLUBoLr;Ed
zu;TSwF}=ERO0eO^<*mHU)1=|UjZ-%o*|1PMU*w6H68LW3>ag%`mW&!II&dtH16L=X
z$=scy2-0WC%DKvU(jiGGk-L}+pDlEC=g}1bc}na1gqO$<nhmebmU!^P(iJ7Eas`Ny
z@i<4jy-d0&iunZ{UxT5?>|&oERDcpWtqaZ1SD}G;pvY0009vcDEtd!=z?b5bsu(6K
z3dBD7ZY@f|nLFyV=nwKh{a9(7*T#mMIX0FQycI&t6_q&Cv+^J`n962ez=3T?UmL2%
zh#*hvU+(=I<RO%waNmzyC>Q%$VP}*WCOL*5t&)|88oNj4S^xSoCytsbzLvn7jc)nK
zDGwVqPYul-S%aAUlQU9E8o89bc>l1-gBR<lTadB<Mx-@!?<tT$t)~ZbqJ-t4EJ9Sn
zh@XN&t&4Zl?c~tY!!!RBArD904oh0T5W+>;rAo_R@|YR9Re4v8JV;EWJ0zYE!O8J~
zEvA<g@i1v{=E}T0{19Nt@AVeLV#>0orjs(VKfJRX5T^jm_rLgNL`vY-$LWWE+EH<6
zZ_QKNeTuNQk>c1_Erns8xvqJxYG|9xb}`_95_IdSs7r2=!J_?&Ca<n)prO;1DXDB_
z7%%R4P&B^|!)<!lB5O7A!uz-Uo;FmVlzsoh<}Z&IpYr#MiqWygJ42;fPYq;V*sjeR
zRlvE~EPhpM2AXg7_3wz%fTx#-TQ6KzLJtpeqAq}mA#bAcjBK=E@9RH~2@Dk^?OQk<
zFX<rnpLB}ZdpbnhasGAcq2m2{?&LF(x>)l0z19Ak|G4_pi*B>~YS`dq>ub124`1?Z
zh#XJVg{H@EFWq*~z~k9$8^2EJVFFw1^_&5HkpA>W<k}w^#!H{{9kbELt0zQa8}}Ij
z!)4aj%SQ`^y|TY;1$`v=*WNueV*)oT{*z{Tqm4;k6$g&h>R|-?x<2K*<`DA4UEqKx
z9banD>VGWiqRfSmNAXDjWmokb14`*Q>+0Y0BVPwaUMHmP{%HXeqxXd7936R89JAS0
zGx72MicJ+mmhj?7mBHdX9nXFE#ACxv$5r*V)z5!h!TnS2cTbnm(aop4PV$BZ4kf-j
z{vg&GT&^`<n*7IYXIAR$sy?eAwdp{n;hObu=f|&>vRm3%Z4~bkGA@r-P7jpaw_gvA
z0_eSKjTWBj^Xi(2mckpe%W3p&>%qeW?O4rdNZ0)IAi9Zyf?U-JWh(!4fh6Cvdg@qu
zv*hwyEq0Xj=Qi`Ku?F_rm7+FWs+e;AWvsN|AX&a7QrzKY4OI4I8T*gQsG7fvJM~is
z5!1wO)mUc*hYGHSjh|A)p3S`87uXgFX|m9$im-y!Y$ukz_2kh&lP{H-#17Y(tkwmO
zEP<_&IgrjNi>(D5o1>?AAmKD2KE!DWvCXaYggQwyic~i%_{9gWoO1@W4_N@x&fi?=
z6vY|uGSwg}L70x&Q#;cD@aUX@0gt{A+Njo<bjeYmtHo^Yi9G<jl4RbkbUqyUL7mG;
zp}-oAQsT=M0#3y3dN>org%;oQiwv45z<Dr`xN^fB$bfsU_Ejt>9sR3MtcL=fMe_F~
z)68H<^@mGAz&!cHk7+6RodN;+N;&Z*rqJ47HNV?pjC`8EFYIv!1<aRMSB#9BfC_QW
zL6EPV?CdJziVCKHPB`<6fSL)6_0(L^uT3WvM_G^XZlJ(x*PN8W0Ar|#nhofw`9)k%
zyt4a&ECv4CBPn^~tr1)>c*<V$v5#2of53SyD+NkyZMak@MnHWiYEiB~PShtfiP5J8
zK|#pL<ZqxM2yjI7Z{eOHzLMAbt}O_H2)}pp`G0(Vwq#+OyWavaax?HEQ-lHwhW+~q
zYXg80+j|Lt%LHfpHMyHs6gc)Nbhf!bAKo}UPe>JEf&T#j0RR6Cmv=nXUl_;jz4zYp
zUgO#`-w#SELbMkRlJYBBMyN<cNJdLhN=DgQ+$*!Jj3{Jg6QVNn^Y8iNob!6ld7k(C
zvu)GE6K^8;5zgb(D4}l%qPuW=Nh<?7*a`>FkMQI4oLW{>kpWW2UYt1{$b`y}S09cZ
z6oAnjx`#IyKz>>>KT4Pd-ae^1%##9e^OVXuRIiW5ZSzeI>8yws+c(!3F9?qoSBK4R
z`sm*g67-)AI~*0aP3Y_t0#Qgh{9#28-AeU2T2u~b#0~SMQiP$n-Mo<DkseAL{CwS=
zxxjU_SK*F|2yPoDzqPZ~gZrIv_PAf%u($iLJ={nXL+p-{e;0I-+M?mv`j{7IvZ(!k
zkBY&^Ev?WiPZwLx281!>@j=XKW$|FPIPx}`H>&yQA}k~Eb>{<q5NQEIiu{sbky<$S
z!AuuU@wcxfB?#aUx0_kQZ7FOVxA-y0ql*9+Nxydw1aWQ>q3skIu=`eYIZo;z_+0m^
zrv*ajc+e11J0XkeMZ@CZHXS4vT%NemC5%AjQ;+@n<-oCYk?r9}9WZtEh5sikijRBM
zYYRH%(cA1A5>}^!yLlGFYDdISaQ3xKW1j-Toqjy~)TM)!463a42XW*`95s3JOA$VG
zhJrcEIyjc|wtm?_61vs2`a~XO_{esL1!?FadL^b>t5gblYjoq6bye`+vpx3r{?kQn
z<kcC=-7;`Yp<TYdUlnr2|83q^t&6M8UaH~ra(H#AAwl-K8j1}5HnHmJ;nBZO*N*ne
zVUzs1^dC9u;JxL|P+Opfn)89#(-rcF&pJ|ntAPZ8qe5d>?et-6-4=5xM*-8)wtuI4
z$hiBgEU9WmAHvZuMOyDFVmI}J$4aLLrbAvdJgPLn@aL;}&exStahP^z<c%iaIGqsm
z#1J?CO5FMMpE4q}MWy%pYT;9w)p?d=Blta5$hf{k1&ziPZl(XU@GRVPYUYtKbkFi^
zbt9=l;5Iu$fwMLm>5{hmDlvgA`^=NJU#i%bI9q!Aq&Bp&hJtdsOyPQzp<Vj98cq-V
z+{dv&8)wT&EAN=iAv2lB>Sd*leSC?jrPW#x?mx1lQF{X_OWIZiY3fidY6$3J*24Gy
zG&YRxuz(2+1Ue;2Xc}YWzrC!1M=jrHiaiLtrccWz?I7XPzL;6NY%;n61XzRgfU%K$
z=0mO|IMThJ&Xy%1TckINJ{{Q8IpsOAk%T3gD~h_VYFOpA`xn7%iRNaZyr?yGFsXbx
z`M_TVcSSN5$97oa*Q1T5c5&+1CG=rU;Ia~SFOk?QZ(8ENqfr|JR@6|yEAOXyK>^<7
zI|7qmS;92+?8Uf^YPk1)#c<VE4%YR)w6Zcw#Gcc&T|BLd7e#?LJXxgCT}3`<_tp}9
z9NYMtE~{W5PSl(Apg3$;_qzOiVu}53a`kupl(8Y;y@&gXFbr5P3BS8+39bwBPD~z3
z5V>yP$TlMYug6`Ej9V?i>BhVIV4EV!Y&Iy|vfx8jvG{KlPD?DYJIy`PP{2Ok#h$=6
zPDK3hpFLXvwB=d3H1f!!Ku(SvI>?HU+)96j^FX=-{Zjg*ER?*QuFs@0A#Gp9#A|tA
zYSDr2M1wSHtGRc^F)~0=xOk6iA_1>~gPJK-k_fF6)QFf{Be+c7)BJ`kFz4_&vGkib
z!j$Vj_>8R(8+)0)4Cq=Qlq}1`#VrQ2ed(;dwM)dG$>i@_LN?&ig3BGMn+Rk|JzB?o
z7711rsg%Es=ExGD9#!}zgq97|o$a3%i2g#q<vv++qy=4ydhII+y{LDOGKv=nNqN(%
z5??dCp*I;irXzsq!tgC&vWrAS<%4&NpG-mgtgN`n&yRU?zml5SMIwP;=ESP9DcVyL
z!gK}s;Bq`@X<llX82w^iv=VB9Ci<ZU!;?Hndi%imcKiyFDeK}XJ!*`j<ryn)C%7>2
zH7{s<>p$YB$C>Jj4#qfUBG5bgoD<~Nj(qOYbWjf6`B3tm5lr5WDK*{a!0|+VTB;U3
z9@IWn5F#5v{8ZEjmr8bAk7h|B?`D8!2XoWOM~0|T_LR(!VaM;oqNE=QjCg;xEka$)
z5DBc`355(c_zgY$;Wf^Lg1z3(2NDbr-95j${}3A_MaL=ZJ6SMtRR5lUr~x>3NnbQ1
z*f1$Eav-jK{e5Yk2V5WOWA~wq&OTc<IHiv~cR9lj6O*Spht>4q-gESGmmeEMelD+a
zDRJVaT!^FgYdzF|c*nN<nGJVNM$tFTabb%?>f;4FJ=}US>U7+m9XDdTMppWHupAyd
zG%>6T+nR-d_@C?;t;n%|c!>|+Ki6|^ysnEb5`pc79GJb&V6AhTA8l)@shi2Vu-eqI
zEh~i+6RW(W4O9WR+b#ucZP!6gpv5Kjms~iM-+11cUI<xpVM(vTbr2h)r^YqNjoys{
zhj{l1!>fH!d4kY^T59o&1PflI@aLCs)rsJc*4d8GH42=j2K4$|`Osp|KJ$I27^bZX
z93^TfAUymXCJgzJS$Z^TZCM=sYgN^5NfaC|3KvyU5I`EEu77QrBwlD9&ek|fLC}@2
zOb&{Iuw-lT-1SHrWnSjaCwEd{&amCdz)T1~j=LQ?pCXH@sZ<xzCJLfs=XTydDGbA5
znL6~W&-?rzAt{y=><j$&Tt8m~Pc!!frmo0idMj2X?I^HHYYa^g5QA^#a#o+ZA{@^R
zh)KFrP`QOqLOx0y*6!D0*^VoLC49SuK^z4Xdl`#)8A-HgEN_j<Rz}(8lNNGK6r}a(
zTGxM)LeK7}Q2n<)S8lJeKa<x%pk@F2v0F08VAHdHyGsp>zjxFnMd~2RBR=P^z8wDK
zH=j|<R|n6^@`iVux==S2d()#KkAKrY>kT={$UI@EnfFW=E)3I!>6!{?tK%K=*{=Z}
zTAfAPfpvbhSl@wxB68GwHmls%#NgH7LSAis$Whtr*e#WyP$Tr~V7V5&M=IaFls15&
z1|v~uzs^y~!{ywS+SsenWTK*Gh*ya!Db~AH@Jd#8nY><?KQ?#2blVx>HXExI&t6qL
z^U1jve3ydmn_Hy+-Y~{bn(og!do@Hc&v#y}q#$eOLYekg6ZA@y94^#WN4jGSqggEl
z62Z52Rq307FDo|X)q?tZf9pMe`j~>u#J{)0lg!cH_en1~jf7af^d!=@^?hzrUUDvM
zK&jW$-Y8Wvwu`Z}D%{dWnD4c5PJ03^wkhZBu9Cqjy_$TJtc9XV|LBW0KvF)D9siPy
zna0eV#q$~v`jwtw*a48}c{6=pkP+o|?47<J2@c|0)>2$7@w4#Ly_mCP=uMgX6s~jQ
zK}b;a!FQIp#*@fx&q~JdbrqKz<I3Pp+pDL=ZUru@Qq#s$B>3J8ie9*^h>J4(#sAE$
zpuETPUq`w+BKymx`2^%~q^D4Nc9#_r8Y5h8m#E=jhOA-y8EI77(rqU8SmBAux1G8f
zs&K7;?=<sI3{5SkBw4JjkS>1SGAT#}l}<kjZH9&LJMH&o1_>*OJ$~?H$Wj@0wJZ9;
z>wV)LdP8+fpC#1Kt?eW&D&p?8h@VQcoERsVbXo6OB9E^AGFO%Y-tM}no^*%><Z1zr
zt((`mX%}(p_Ca}gF};qd%%#Wu8yTHlQ$XHi!O>-5Ig|-LeKSzJOi=9Q6VzgWW5*kJ
zy5vbixur<m?%r=AQZK02XkA}!7q6vk+#w0-!^$s312e=Ef3ES}@dQ?k?F(gv#Bue3
z`30tr<AjV&dt!W@1vqy^8s;sDz@K9<Eo^j%sCjAqot@bN(<G6E<7~pP3Fq{3X&xY6
zKBwoCu-pKJ3*wo97J^7g=5|Oi>L*GW?edF5%#rTZ>%HM2KgP~XX;*dhtv|M=W>BRW
z!Z;q4sVeco*ks(`&xL;C-~gl2XD%~nJ-&2k<5O-tR$d-a8yp~vukB>*-D`^Mr#w}g
zwsGPj{VR(%zkU#XC3on{vP{6|H=dJj!j1=J=}wi`Mu@rJ2OoPem>^s*^Z0HrRz%&q
z$Z<SioKP2TdH?O8G1OOHr^$6QLpSbk$x!7Kv7pJOF;{8?nX4zb%fp#q?%==8KVybS
zZFyDlNWlmJ)+7i1lZ<$nFQ@1e`HT23$Gx%orXg%na+@WB8Q|gA^XgydJVCm|VC%GK
zfb_ZyC-n+?{PeFFKAZT55Dm}{CwUnlYodKuhb}!jMZ0#~C|e*bS;i=q{rdQ`Nh?yM
zjt-ej0fLl&OGI)n<!ShSeQ425R_RC3f%k&<p1r$Q31Mp`r}=Msh_H7|={ZS<(O36k
zo9fqyyuvBwtLyW`F?O0s&YKR^gSixL9eRlI(JU#0x~N>piar`g2YvqDlKf}}T;G20
zE~B?D4p`(@oN1*)a(*yf$v;Mfa=kEOS=B*U^MzqgJ$js_M3uh1&J2a<eSx;II{5K7
zX~)O)|F>fOdE~wtD@<AT*7U3DAms7I+C$qIaH-&zx6cS0v?~vL&sI=C&$OIp$H<7t
zLqX%w)g1VIfOquKF$yeS7WpxMV?^Cv#ZSH;xp3#u9vwLj3d)>z{k3gi0)6Uf|L=1=
zc)Neo*bz@{_{j|n%l9+GJ27px^C=%>L-OV=KWZT%=9<%>Fe`Yi4QnFT^WbyAt6!4!
zwQ$_Cq)hoV8_uw8+99)15ZIdAY@4kK7Zm)e7-dI}ThBn{dm*^S7Kk6#(S-km`gnUJ
zC%oO*Hy1mLK!~>?OtMM?yG~eS<?iIh`G{(gI;R*o*{r1&PH2GDxxoF)HeLk&-CVM1
zNF37X{mywZ8faOyl3y(0!x?6J55XUjIREGP?DkPID&q%&PYm#*Qv7S1E4vK7Gd2*K
zwPft09HBi?5d`DMex4m<IjHy~7_pR-apL4EJ^ytfwC*4&c)H8u5jV@^;ukV3GQaL)
zWDr5*oYjJGu>uS-Pgy5$XrLrh`+CNGQGAuXz4T9933p9)-}!Px14*AbQ)ivUF;N(;
zMv7BLY{{gV>YxTT7+6bQAWI^Br0hnMxGE-Uozo7)YC<73M#ND;8dtb0yOi?Ou;@H_
z_TGP5u&q*kK5HZkUhcplMQ0Lr%yf$xT-OE<qxEUOA~}5MexR^@iHrxoV&Y3rQQ*3g
z5Pzy$9&x)nI(!~!Vr#d;s-BS!4%oOdP4OtAAgM<%*hCvkQT=WYm2~ks%Y%3OR;6`6
zSs>*dqJYafq3@!h9`enYh5tn=qvV*=XAWK+y!UwSzx}j6jGpdj@~&6GrdY#kC!gtn
z?ac9%1GVdYr(f&C#;%6vZdJ<-Qo7(ObXC&YWQ1w<(I=Xw>s;&H^I*YK7lms%shfL^
zG5>XI<gPs==<Jv|$GGlW?_M<rjl`IOiNETc?S3-)0tD;?PU_<Nv67v0_U2d;o|Qdq
zssZlLAwOmKb<y9N)u_Z{flEw<F}710Sas&{E5D=zPk!qAYZU~hLPFYEPHDp8Nbyo@
zDg~PTi{C|a0UPaX7U5h?_#IvtxhJo^9@Z@q4ZJMzao-X5f<jG<3^(+gzOR8f-ioh-
zTvpf`<sX0Qq9)uD9;fcFQOBmyIB&&RD==S+89TI~0e|hZfhDR6?6WT~r_5TRoqQl*
z+xk5X-=swjq$)zOc-eJa+Zs{id<_pP@_H`Yyh}bp4$ciBX<^%}anG+ccV3i)`8F$~
zL1{^Z%nGce+gPJ3Xu7PpLJg&h4%#a*!bnr!r`M`vjSQ247uy|F@p`27O8s>{ysZ=;
zJw0v(_2kP__bZiA_3opGFo_KiyAY)RzzUPAD-D{OO5l5|aPLeQ9aNgXa(%V1g17I-
zgDr6i*t%n@)fTgP;$cx)bymA2Dvz>`Y+jPX?1%Ek3pWP|-h-SPJ|31>v32p2>y&}m
zbjnK+{}Mv}F*Rk=JYeA&W?j)E39(Jve^%$WQd9UHG82P=z?Y-n4swXY$2u=u$$5~v
zGq_0JgcH!$|0)!6L<Bjfj?LLHj8pOYgu@(#z~wyfz8Dw8&D^W^n2!CVu7-VHIpt`9
zu1i(l6Q1&;`2?S-@%b657u5J>&Tqh^W)rWHJTKO9;HR}ZL;VtUHkCWg9Hhh6Z*J`8
z#Md5Kh5f&0sD|f#C@XDd@Zh9R9h+yx*x<}<ud6fE#lFp^MLcHMCeLs%ev}D!q~?<@
zg-uiK+Fw<1I+!A4cdE!=3IqNspFRKk;S{y==<{#y6HL}~@3s=U*fruzc=?^&^Aps=
zKH2~L2aF-*nzW~I`!caBuwf*SJVs5XQHOr(8-uRo0C{WNU&7%aC3UWSn964sPU(#@
zf~+Qg9=6RBugfo)<V5_S2GI7Cr^XDiDc;j4_RK7CT;ht-9>)Rdu8mqU-P;V|&)cq@
zIWa|Cs{GQErPoJ&si2qVoo@i9iB;eB$74j|6p`cO(@i}mb%u6&-B%liW^<M&hltO1
zS`vn}U#WU`Nj=Y_^wDNet}azJKzu4`TjKTlLM?v1|JBTz9=s**+7B`I5&!=A>fPPf
zLY=wRyFu=v9s)a^dAA(yB5L&RmKLftQR{6uoCJR9;)1(zjpvCD!fx8jw^i*E_1IkA
zm-I8bkT-NV)Wq3FEUnFpe9o$(ej0zd_x&#&n8u81w&^z$fsTJNDxQ^7v&^#Yo2>Wi
zg`BwIr)dquEG4w{xYT><@R+F<BfSouvWmELq<tjHijwXxW*1RAnk_WwqAAdK-TNSQ
zdo>}jJW!MI`4yEhL~BJ%ih^?6TfySDDu`1yb(iALq*Fi16cgSDv|-j3Vfn<aoDd$F
zzSAL-Ol2@?kczyng$nvR-&JPIh^HhES65OXm6xtZ<3O<{4qvH^$z^^|+>Q?}dSiEm
zxYltx`u&6kMi(Pgca^>&&PG~1t}{s@^6u1>gsNzu_J#V3+YGOX0AfI$zY`%&{d+E@
z5&lVgj>Wi>ao<Q}hgU^0@#<EceJkS&!oFDc-0Lh7YWklu(ajbSC3@}=S^HlRdGu91
z-M`iGFXUN>dT<fZJ`+E;u_2%MoxSO4=SFpylG}ZijujD=g2%pfP8JbY^N*ItCadAE
zR{l}j<Rape?TNK~u{VVC0YasBMiraM;XWUQi;4UPeRh!t-V+~GvtK^5SA|rw5ohSv
zVuG|7BRN(<C3@QCB|pAYLG+*c=;rSw#Gz|$UsQ6+iTvU3yy`+K;177Neq8AdVY@HN
zH!Gonm^P|s%e<@%6&n{-O7>gA?QL|+#ndVyRf6p>WkLz0Z_!J37v2-;jR$N>+iQqM
zVHNAt14>xxlZcuLEhFd^I<BvoeInlW=addKD}p;oKQ;F>jcCrW7$SeIC#)M(bGx=G
z;#iwg!D3lC@m!z%a$bHDk!$d=!?#8O@+lhj%qA7YinEkUgJ(1GNSU)GezO8(U1@@R
zy_H0IT{vT#d@CUxaZ^#bP9FMiyO>4_tBDhO+HVY5z7V{%`IZ7Z<S{75zGJ$qmSC}q
zzi%wnK}c*Veq_@v2db7=0)?TDxUnci|J?H%akRUL`qEPl8&_Dp-9j6P@?7%oiTN&q
zZX+%3%)BgCD)!hfD}N?rNQ@B*RXs#nQP}3ElCr3|rMFKax0(3is+KG=+edJIIA;FM
zRtC&whxeu(Yb9LwYa4rH4iE`y!a8#S(wG|EU7~FJg%}fd6*&_BgAlL(8ThSG3ik?_
zbv_*KAl!2g&HCgG6Pv%x-oH2}3G>(UzqRwe5touUg`aSY5gOWyy`@HyxY=%5++x*D
z+||D{k(E9{@WdUrPrD+4f~9~@^^&~==f>b$oRL2XL;I*4`DSs5M>@E0DD)G1uDq_|
z?wcVFTV@SHMI5SEX1r|%1_+m{B<6&SU&OHltvftd#PHHH<XBAW4`Nf8a^<Hd^F;gU
z4xRLVQSi8TtDjmPCj4_Mo}cgdLtHffeM8e$6c=`-oM&+zBXWL?xHD~CBo4(T4)+&|
zAmoU_vN_u%VRK%5>Jh^VG2t9fC!i*RFxAv6CCfhvIp3Qz7VK+;WkqM5YML<m{2pHj
zlAk4R)fb#SxbDTL2J0{7C<-G^z%9LM?icae|0A=n03&X=k9>2<5ke^&<J7|9Jn?8q
zM8`>$8L?Okr-KmeOpHVRnEWMD;(j}<Tx3OA^PpN&w;+zl-JY|2yGS&0i(89wa^SbZ
z2PgF~K~UygvjnfM5Eq?322G7{VOvT|LW`*&lKWz!PTXB1ruDglH*oTSdCko0-<kko
zSb}qJgwiARY^vkyCVm8&J7#)z2!J!<^-b5)jJQ;8d{(?#5KgXD*Ze94Ai68uDJqH?
z`3Wkk9&^GlbIR*>trNiL_1JwKBdjo1z4><jfEY;UWf|>f1<=1k$@4}S2R@SPe{5ot
z1WQ>`(miuQRGrgMIe3a2it@8Af0m@NT<UEtSR{zZQDJea6Cc(Ztsh!Gl*8k^Z`S(9
zgwVyPYOgOY0A1E{ae8+JnEiNK7r0Xx->&T1aEwm~T>izYU3-<_L8=cePZYs7i;-+u
zGZE-~uvW76SAmazA~o1p46RWUuUH?7p}P4ATYQZg!c83Bs%)2lyTjE;Clg7W`fVH-
z2Qn5yOU`fpDTN8)dA4%`GAP|H$yC#?3E`N$ye;B#s3~!I)O|+|X^xi*_w1lx;dbmq
zg`@%ogjqTE5DL(*nV@)5b#N|uuXug55_Tr<_u0UzgrDE&1Dq*((D`vBw=qZ+PS3|I
zg2t556`<1QbWb16nZDl2t0ahYW-|ThQ-wkpQ;y!W0f>NX24f*@Jn*S%pB+-i_MT7G
z#?nTxA6u<m`k{mElS=;8Q)EaakD0jfu5*3t{?PYm{dMki4#bSF=aoqDQLmTAV2>!x
z54>!I%4V{$d7U;gRz&p*);-`@N61aVbW?OVy?eu0M#0%!&i8YP#yCPB^dw|z1CACC
zKmXvX11956qpEjC=&*P%Qhgs7(*E^8Zbb*a?L8iP>%6bd6E7OovI4zOW`vi$E)3Mi
z<?n3MN0_N3+2DaSJR^lGrCoKg-Tx@(qt801N^mM#{Jar=4$GwvYU?7w`U{OTuZjKo
zv5P)sn{X|%&(QY04t594eH`vph2W{PCJXy*aJb(*`#YNsxVz@E$KS|9euI2JcZLm`
zod&bMtaCNv0w>w<i73?Hq`HZ(ufLSC-fhjK1;b1BUAgz!5xFq@v(McIpMw@`9^N2B
zzo+a;tkXC_9s6au_tz#Uu7+6V_Nd_uUjb{x>@Vu$2*z`V_iloGWX$fZ(kkE@jlK9^
z2n%iWbI8T-FE--&#ZKDYJ&Ks@ASM6U%}3J@pv5ImTZ2)^nQLdN9L(;-{q83V(Hw*m
zYqRv$>+tr9WIvk}&YdWo-7_UZYwp@Sb0g3ScC2rM14KkIt~c{qtx1e#l3eC(-)ITO
zDEkBVFABg#Ybw-<UV`?DF+RqeYza{@t&o=ETu2Pyl{o!Uf>uL*e8%Dqz@OQDa!&#i
zLVAN)vz8=iPni5;9NB^BTcWvJ|1J>}{e(}ojFPmNjkngQf&@<a`W)=EnIuH&vv()=
zOVD(VN>as07MKj&8aLEZNjx;psjGP=LAzS<{Xw?#23+-RHO-jop^mp*h<M{BLA%0L
zA{}tc9G48PpKDt8+VSb3(@xS7wBEm5+|Rz6VSDQZ-r|jmRCTwz@|peOG@iKIS3@ag
zFkV`lUf4xPdw#0h{$-&!P0Y~pMdlq-oIfblbv=`jW|!W$G4Y-_t;+04*f^spGKVeG
zR5Dp;uglG6>=MOkOw?T^j+agFb+9&H>j*oor0{+!^@TVsw1L$~md*sB8H1+;dpKzm
zxkY=W+Qn%cA;EiVZW<$<-%|LX8V~KeQPq2TDG8eS&#~`=vc~B7BeB<6nU5Bj)q4C%
zfCMdz(es?%dm}W?y9YI^@YBwm#HSzg60{e!rql7RMhMT}b@#TE0L`zl`sAr_N!kTn
zGWj2u5mfi<aEfpU(iTJhyv)^=q77I~KD}CQh+9qlBNu)N(#9r+{nvg=(OzV1d14b}
zh@HFMemVP9h&DVR;e6$@G_6hEul<U(A-HP&{7;q%(|QZ2MaJbaG@>BUHjv*C2k!Tg
z&O8&Lsb49e{HvCw^<3chiyAe6hpAw?<!w<~l}dA~`58IdyTs!G!XFJ#<58XCa7~O>
zxJmgQ7mGYi<@wo}&;kS8{UUUs%wL?A;7(y-d@4_?I@z4-m|=jNc%jnceiF3e{fB>X
zZc(5aa`69~dv1VT<>NU`!IHFn!Ctw8a|*QZ_H4e%b)SFVViIY1ONy2{^;?$ji6V_Y
zcz<WX`nhbst*x#+m8QMQa}(@zQKI1p%h$3=1H9dnPa!_Y&@QI?M{j0Trq$_MxBEyL
zBKtVM?UP|y8V_Ski0Er&8ZVbmlH6WHFgJBX6F1~&d-7_(P>-q57%pfZTuw7Y1LLBy
ztgJk3T*~*MH-{?ie*gdg|Nj)1c{r4B8-}y*F=ouz8DlmiVeG?A*%gwq6cXAfDv>Qq
zMUf?xWGR(Wwiaoz+-=B`B$T2=Dg7!*MaVbbzt8a;?{Pox`##rsULN9i!=?Wk!R|Xl
z2|sR8an0;rFX?h79`$)WZtQ0ad5?_<$!j$5Wc5D>PeT@-GK`QSbsIw&nQFXsOar5?
z_MGXs#=?rJS%C#-6L9ID-YXbI!;G?&xi5-rtPm^QKHqBs3;yK!OhHXt$m^~%4`pMR
zSoM!b!KN^XvhPXhnrQ7ZC%C(ejbgUhBGrqg5TCVfMXD$rgBfybbMCTn@>$l&8>MCt
zovA`-jiIAw&5B)m*V))+@M1P*r8$K49PF%nOUGtEr-{^5Ha4vs>fQ9o9I6Et-RwCG
zyhjw^uP|j}L${|&Y`O&$;Oi|X4=_+GS&nh0jfMP9tr}0+TsY!$;^6ER2CkBt<VJ8<
zxId(KzY}tyH>gd5(#F6aqtUKz$xKZ3=+T;UwgiRS<b*%n418tTyCwKK1M@d;5T&(S
z!qSDmKZy?*80;3Q*8YT!M+?_z`I=aPmo{A>poD>c#_EH-yEKvL`qH^7&kD9$jrXn&
zW}w13$K_EEXqYE59DQlX3R>L%%5+kA^XQS+J*(EhAd7eR48#CpXg`r#Pe+@BBG)Jd
zRNN5%Ab*VlfH8ICVyG=0Pll^Uwxp<Io!*d~jT(Te?LUL4N1C`yNJIR|S5;K1+5cvT
z5`deBa`HVRO-y?9HR;Y5Wz1m@@9|j*;Cn*75ld*u9UZ>fB&vkD!=H6e{jdV3qR=w+
zMGZ6+G&Q>Dq=0GB@7lHNtsvel%zKZI28xFsUM#DlV2Nf<<I3GuaAn2TM&lb)9DKfe
zVuuSEBh2V)8kDTSrm_Edmjo4S7q;lFm61cSzb~djn=C=Kp`#-pL>;fHURs^RN5btQ
zQx*!|mT)}AYE$b`H8ej${jQ}(MCr5H{UKku&|fS5p1f8So2t%I9&MGym91v>194pF
zQ|R+3WT_xyefLAtR|I5y^`3ns$_1b4gr-JmWh8apiKIpl@Q%rrH-RTC!0__dr~AZ|
zkl(Xic~pmhR|U)eHY!>`O6#4<l@vwH`C?P^T8w~Wl(t|jGl#<+n*TYPDWKy<p~z?<
z0_r6n`)R0c4r(eEx7X~I$DtVS1I{W0)VDkC-*M9n`tAJ=bUmQp#lyAl6kG|Y6{VW2
z3}$d*Kt7P4O~JQ&z4<;A5OC@0FG1B^rZBh7J^c4YGCqE|PxJc>0k5oBMx5DX3THis
zvyYjQG4hyVTSJ&ErdDYYgMXO78kDL@8kNJwoR2i(Z&^%aJxumWGl4txkF$=Rm%|>1
z?A+;WA|A@W|8hCa1j+)$x7!?$Ly7zCJI`=QsPBHv-S&Yoysx%0unm&K{<`^+y>lcq
zGbYJQ1@rFvM*h1j-nxGtUo5d*4g*dX&Sxz(2A{T~sKe26SQkBBV^BfHw_>NZ$2J(j
zmx^?UnX__e(f9UFc>x6%zurDf3O9mlYx)E=hvZPiaPKYG0(lhf<10nB5j+~Kk+`ly
z#;~OL68Xyt*cDAQ`SO_qwh<>g+_T8|Y<pJkc&j4H+UtH5zQ%#Sm%pv97o_0P7QIh-
zf0Xc+<yMW%gB;+T*KIGzprA{7Lh2hM6<njs4HsC?f%oeYt*<iVF>AA1pvPfVEVi0%
z`eDd{xjQA)lIQXmIOitq^<E84&Wg@|QRV=}`P_eU*$Q}LUG0BK<?6VJ(&U=4lmpGT
zbjL3GDdNa<o1Ii36~&#iZ|o80K(2k~oi?r#o}hFz%xh?%NZ$U(HU!@O<~=Sib(GOv
zaPhCrCk^D@)vY~C<G>p!u_J=oDj4`nPb9OJh9U1~{^{6o01c{Q9F0}c=Ea7kRxz5m
z?@pHC!7vW2>4{wu?52hW;g`8vR?@LciX)&_&H)c%k!XmSI?Df052_YpVEH4aOx%AQ
zFnaUaz^z9e^~3ktMz=H2BKDm17#Km^Ro&>`om9O4Y;$!ZFUN)^xOLIzjbPvp`D3Z5
z2C8-VM>3YP@ae{=aw^Ffj(>X`qF1hgV_K(95;|G<zA)x~(g|ajX*+iBi46^}F9gJ0
z_GDwER@0f!Dkjjezos+x4Go{~=`{J<%Eqgo4!XG1nZV@&k3M>YCMvD}^IcU<3u}ux
zzD65Nq2bi=&+-2>@!6GgKLR&s;m1q<!EJnIK)7kFr<_d3+H??&4%5O6gBPD~T{i=j
z-p=nwXXz-w@!WRBPYXSLCXcvnHHXr5pSbG+8R*=hmL<p5LWAne(sX4DsDD)7OufrM
z{hcn6FFM$m&^Gc=soMe~R3#GI|1r=^S@AE^o{g8MlXqpta={C2W5acsSoEDQJ+p{~
zCyx2t4pX%RLA@URQ}#?e6dnGx?I{z3PgC!P+_VIv$$|(IM<#CbIehcU2m`;Q+vJ9u
zS-}YP_Wl?8OtjnQtCclKM_c=Y<&#xb;Ia4Fk~l#o*8e>_^SMbA<zocbhYADm8|5$W
zZDL>*#o3ILPeb)h0%Jp302&H)y^>oP_*z_GyKs;Ot}$D+{lAp}9ubrS!&7w3lZlRc
zvx16suRYFYxC4xoEZ5i-PRH<?UnYHm>PT39`WF8>fWDR^hUUYXSfCnB8h)gLA*wH>
zUpfPfK7AT0Xr+lu&b&QcSE7WNH1U@gKage0-&x6<gEgo^#S#U)WDwi?R2AS!@whwn
zg9dK6^vANior0t9#TFX>Sb<oJxU{vN2I@{f=;ScS7%QPXp>n|rt{r#3)^>o3mpqe~
zq~0Lm7PspC!>g=-&vCbf%_DW}aq@FE*h|Egs;;9_Z!95J(L{fippIuGdJmoql0|OB
zz|g6kmhkM70qx@xRZL&<=oIk?0sn2X{%rM&3!Qyo1q1Oa82`$qWka6~ZgkJrI32@<
zC%3H}uG%Q0@+BAk0#_Mq+4Q+bc)<daq7I#`S5!hDz0d28k4od{nKwC&@fM&cI<w-b
zh$4!3f8!=bNMriIU}ejKIrttD3UQE7z!2@X&Tnj_k&q-@DwtpnCrQpL<al}V)8LiC
zV|Qt!XS`#XESf=ty^Btp7X=%vz7@VGkVd=CsT84PGsxz1jk|oFjQSh<Y)*^G;K}QJ
zVY9+!uwjoiw^^8sX)zu_?tU^Tw%qi^@k~?Tm+ts8mL!LJ-tK$-s7(ePH4Z82Dwsk=
z=AAcPBssiqVlNVDPe8-(<Gp5=OyH-OV-cyDgsPO<FS<P5-S3i=l`=H}&qFaSD-%gb
zGB0cwikHPMF%j$8r^X=s-s}3%1`<9w#ux6QPeh%7h4b#)jbZ#&%&$OO5>6E><sY9R
zV!rFT#BHL+FsGszx50sg4*WJHDcvMoy4geMM5Pg!5ehu*0!Ta#X}p%MmqQODuX*}<
zBj8K^;rJ+nghvwRyjIkZ@wf02=OiH`;P>S^M|6?Ue<lCQxq1q&YCEu6<Q@lX`dxcx
zsB$=Vz_IaIk39O<<w($?IB>)5v?<}39JUUxRGgnvz~#pU>>bQFkdk{#G)9Pw^xild
ze`6)wwvn@GT95-ho?h!`bIJHrD~ftGMHycv7yhUoFoe1bIZ9p}3YIy=PSm_p!Sa%m
zZsIo#VZ8oE>ZZ>WWUGZpiLOz@_D2u)oj+v=t|#cWPio|mcBcDnO0YVv&tA--9x;Rn
zgNAaKGzE<HTTJuRrs8p*ul$^YhT!|+Ze8*oMU=iV=z0GS6)CmZyYf>E;pw^?D&t{F
zD3EAf-~B`bkEdS!^)HwAd=tKfjsrX{4F0@td6tHgf(81z*9>7{?o!Q~d=*sJ&+d*o
zpotP0=`RLf8-jy50iBywaYtFg)59KgjP)HkS4-l6p;M^c+TUt;(<VtmN{4~ZhD&eR
zZREi5$;~I6i_}rnrzpmD2@~}(Vw`k?1J396Z<@BIBDNoCp6O&_e&cSptqMk9pXf2!
zGeO1EFE(yHoXNs1a%We$Wf{TJJ(PUUd=2#Fz8U!hY;@69lsV1gLgc99K&=%Ge-)Hq
z&s#R$+F|B&{jxDUbqLtdH%`Ndf2xP?g=pcisF&>*oJ@cz{<S5F=lP@-nFpjEE#y;F
zt`wX#0sc9YMly?zkA<h>cPnb+#)tlrpRSpLeZkY8Ligxs_ucr+T}y5BKR6yXy2lLE
zC-b=p)(p%lhLR*RZM<+}Bvs1P9HI>_F28=8f#zj;Wx5jD*yeCTOp?z6BzMoveN<s$
z>6r5;hZ-$p7Mx>iwOT;N#*>lRyO^lCS2U)Ap@p~U@$aKkxe&U_@anG1OjOeUu35T=
zjZCd|seibZu>R~ZnX6Bjm{g$rX)d3IQ}xc|2Olj#Snk2t)H5ay`zSvb$!8*YTqw&r
z!3wIwqT@3fnHcw}islu`K#AFz@0Cjc{u9}<B{++ThO)$o3@#lPb-8=mi~tD2>CKe?
z^Tkjq@9#7XU-&1j$`1f29!(4W_<?~+BaIjA&ud`A>AyG5!~<wve|EhljDf{sBLq=5
zDsp1Ocefu0sOfta@bVoU@7o!4`tz&f_OFENyK?}fE^svUZ0Pta-G6#pk_z6GS-hun
z6yW@phS2AEJpV7O8yHtt!sSEf+&@GDP|g}Z5aMxsd?>PL^ou-3r&=3Vc>%<~O{FL+
z(a>O-#lG90$T(HYmr<t=z$eoxzTQ&<Z>6uem8K+z^-qLOnF|5fthk%hew>P}Qa>8P
zju5fm^SS+WnH5Z}N{#hsRY&CzexD|`EHVpyDHbcN;B|#*U?PuO9vUHp&4L7E&ZyGk
z>Mg-#wT+)rmMT7svdE{BWKce_u=}d9B{-Az+<Bm>g2jKo+!Cr>ir<l2n|gx_QtS6U
zCwD2~(Tl`gvd5)xR|eB5M~4fE4!an+#}siQ`AzQ6hmu&e*Wfkbf(696lzmt9SHLi{
z*aOOrlK5C@wWXSp1&}4~oDg-9$41Gt>!xy&_@y^@=G+N$_<6x>*m5legQJJv?xad$
z{?dX*UkP)N-Jm;Xwug)<ZHq0tw@RY-M%T|@51WCgoYpc%r5qNo7V5k;B8gX${}#UG
zH-ox_n0p@=NvQN;Y;;e$6uK1`!1-iTI6TbCSsq40{%=nP3IdkmvnHv8GeV|tJ$=z7
z^CuA{f6sfo-Xx7Lb|vjn%P;}$H^RkHCwRT6E@_(^$lw?KA5IBm6ZkMTIOy(3#3Q}u
z=VL}?Fl2m58vjLOIOThJGM+-jbrMEnO{WNGY@m@iZEOr#I~oi9=4Ek<&UsqxMp=~V
zk8CdLHiGjZdFp<DWYOMZz(SeF3$I2SA-hl`_+>#qKP5uM;*)KkmdKM(Yr;&@YN-)i
zVoR%@TSmnA^55r@m&&2=L>%)?9S7*K1xAZoiRgLn+@JSyWVBya&=kFe0~s3T-*4O^
z;x*cmto^zatY=MCM^iZPPKeJvN`ZuFzn)z#^pZ!-xrcd<&kdo<?Y<l#o5vlof4?g7
z6wod)Vs=ZOA>3u+hV_baxR!Dxe)7E{E+-HJT>K0n2})KmZp-1(b3ffmRw^U8E1j07
zX9#=!T{?odlX1fJSI6yJDoB3nKpd1Xglj8pjsGsA;LgT)b#V(d+&No$vwhM4jP;ja
zdLSf^_p+iAQn#z)u(zIw`a1*o=`-q-Jt>d*XP;9dxKw0a+k5uxpaE>Yl<TSTO#vm=
z^e~7D8kq9l=|7bb1NhstKcD}fA|{QwweO$Pz)4b-N5r%NBoum8UR6`ZZ*#j=x{cD%
zZpB%lXgNdpeOvFB<60F=PVSeQda8*nf*g4%TSI95BVo~!r;1z4Dt15v9kn&v>-i2D
zLWS(j>}wy?&`$HVOZjC6#<Qeo#9l+ddbhs9bLwcYVf~n74ioQ%o7fHOb0GGeWNWe~
z6=(KO`3^*|aNEy;FVD_%z*`uvGo>_8a`Ml)F*`Pjy|`H`&oF}jbdrK!wrHS@LXX>N
z2`!ur_{hn=V+5YHDJiECY3T5=r0eHhEwqd>+I@ACF$k3_Co7t0;?pFp=t@^@q)u1{
z1QAT2U`BLT=Y%G1jkwR+@<<ym-KimI^_sxj9)}%$`E>kZv%nZ6>R>%dS?a}EQ&{5S
zTEjGA;HlFGO}VBz_|#Ukv?$69cGv|RInl;IDgVLv2t6GfP>+19xy~FSjfi%yd43+(
z_Ah_iZ*8={bS*kX-vSz^l5f4f#mo6Pr>5OUwXxkw;PK|AT<Exe=hy{F7ShgsShDA{
z7WR65Or(u+p@`A+?wkV)UmtDWqbaY29aOg$ij|fi^J`Y2c^eDYa(A5|DX=locW(AU
zkQFd?xi1{q$->h&%Sv*8FwyBo$ngY0fE)_}0@sa&%<6}2@x1R+J|tgs!3p4JWbC1@
zWES4-FBpGkOUF|C@bs7zfX=;keG$mSPO*@e$DY%$IH+GrwVLPQ#L(F7YnbR?QA<tV
zpn(qC-J-PG0V)-4Ycn4*P&bu0b#q7^(`A1WZVdn^zN!e#qcZSAL(Lc8K~<cij6JjC
ztzSN4qPaATjtzxXBTPkQ6p>Z4!6&?V9E}~g6`B}kqq!sDhys3?tgu>L%j+rJw_m@#
zqG8*x?-_d*1<f34B^)vUs_j3Y`^HbhA9>z)N`&Mvf|+4M^9RW6kn{Y&)IhR^bm;<>
zh}XU8NuIo3qgS;x$kK(1^@cCM9ZMi!olx9h&af5C(dA=_d)4vN7YvG5ltB%pMDr3q
zE7-!dxM69jh8OdhXQjub(D%!MBK-kN*f7-~u<N1<=JW(FPnDF!nuU`4+ng*RL)^VT
zn|F`M)Mq4mu{gflc=W6ET`u&xn)%(UQACJbDL<YihPTewRMarJFzH>$wD(fL5sKZ4
z?AM~0)o)OCJkJ8&IjrayQ<TTjllr}+C{Yyuw8OrR=M`^g4})uG$oPnKuVBJk6m4aG
zFIy6B4yQixIoMChVe-?DuPoz4G0n7Qm+Ct+U`BB(hD78rbNr&W{D3IB5T?^g)|!Fp
z729YJQxcxubi!_1kQge|L?4`PHH9YO!YX?nFZni9$1YV9$0YatGKpXcfiLbivcJjV
zIm(sL7yJ^qStD2YM1u+Re4Lwg2$#i{qhfiRdGBGT8|!+wg$d*zRO=a$kVWkq78kTl
zrH~QOcfl8pA!l-Oj)erAzB!~Hl)4mKLfX1A9gJaR?2>EiG6?86YOVa?mo#=ySIF7+
z8G-XgqVR>?1Qa+MX}<J<3_h^eI(0Y12(GU_QxUYCfKidvF7pKh-1ueSxb6Z6v_CIX
z`x8w-ZP7~OiG#A(e)*HkhXM`=2zp-XDJI~Jo?`_4C?f7F4Zh0a`FyRW%kQKC0=`|B
zJL7hcgi?f`!_FgyFt%g5zltu4{zHp9hYIBI#GG~El}tkrYxvbIn<k6oXNf-XkH{E*
zQ}Xgv8$)n=Df;TrKUpM22c3V-FOPpcv?vc244@!ZlJQ>}5#8S(xmUDK0nJ|JoZ5v3
zP&OtlWWyxk`(LQK_O2qn@9Td6=?0+pmiZ{-6$#G-{?-dMRK|wp7<lPt095~f>4T+m
z_%c*iPwSxyK17w859S6CP`gMnk0ImER<WVf5H%d=`L3@`Gk|-nAj<7+6r9~2VN1$V
zN1^EAgK=^OU==X7)@7$Wexb5zOZQQ+%iV|7L^Oa5s|N8`NeXzxbJEvriw3^WoA^1Z
z%G)ogJ)lsjh>bDZLdLvlDD!s1hp)y4@XEB}_Q}smIG;bEXtqHUca@hGkNWe@#d;8$
zXR3mJr_^${c++v(-}qYBDFgVI>_QVbql!P==2HaycsUXKEUl8qFHzUD?;K%u^qPL<
zzbuf6iQ^eNL(L7Lz;f%MZ;#dS=i1_6*FYA|N9k<szibGLj=xiOrc<%BHn)=F!$$I|
zj^FWY4&>#(5>erK;M}J6Y9U)KO!2#&eYKGT!3%U>B`OW?XFg#&sc2(zSxDuoU?cdQ
zYg<A6O2ZT3{tgmD+8B6wo9}fsV+gE$Wu9?M6CXZq!{6~bxLR_K)Aq#}7U$YBePigj
z%})YP&+6cNFIlPTRud395Rt&;FmT)?dA`zd8H&l0BD-r%VWIx!`QlLq=FjXPMr>P#
zcZFInyf|+L9Tm!HjY&*w+$4X9?7j@I(7QD*7nwsgY2?NW2^JQeJe|Z|vJ6vBFHkd1
zT0qL4+&bd~UT&*ZFZ|xCgZ%6=CF=|>6tA?mIMl~NzNy!d!<E|D?^9yHjkW~sPX6`X
zOW7DS(>;+=rG*ZAL-+hxX9bmJ+m=3OvXL<f=>surG!qfHoW2wwvf0s8MvaZsA92L5
zN-XT!=@h#d3=m-AyzbXe7Ro+y(mH>df#+;LJe}a>zYza+?Xhwe+PfOfQ~znA?sK(|
zU&jGRmIGX4Qx-;w&Zk<g<N5nof3b~>HKb`JX0NDX;%FOJ_C+}rhsraHo0-<|&!yXM
zM2Lwhuj(`zOVn{mor!3-t~Hblx}5uC$3V4T{kv{GSH{H~bEQ5EYbdJ9-%+rSjy7A>
zYK&ee;NhD^$7-dmp(`>yg_Wy`?4STrtqcW))YJ9`{Ra@}q!O)siH3p~$JZR-`C6y0
zR)t;@!1VXD%+8w{s3Nh<B*jY>rHf^?29E$VPM52=Ar)VpZxy<^gXgOPvn2`+014@J
zr#E-0W03ua!PX2Z)U63MJ|@6B@7rwGQ%!0(w<TBhd5<`56CC_u5ora*&DXa#{!l@O
zvI`S-MWW~?y}jFT$PxsLMQ2`{C}Uqw*rA0HVT@x-DQQ|;!WX+Ux))C=VmRfG<fBtU
zxGUgOY=0RS1h(jyf0R+c0l$YI$=3zZE+Cr!p#T>=pB3CMDyJajh6=r!E{NlyvpdMa
z7SLJ6CCT`ZQO~*4V{BXif68QgG_{(8hx1?Jf7)`mzap-5?wbJaPE7XNr(+H*X@A9y
z$|RgL)N{Aj7sO8&$G5fRnt_5W^S-7w5%(yUpRl?jh}LL0&HiT!3V6EV-UeB`d)s~T
zked)HyI6F5-)RaD<}zJ3og<(aJ>KD^nlO$}iPZZInLt_`TTM-bfceU<^Wr2CtWGO^
zSH0E*Y{S?2E=iL?*M*V53AQMP?f$SrrqdWC*Zgq*qalO-r|&nj{KZi1Md6z&M`O^o
z{Jwm)N*XhoeSB@Ni{ok|j^VWqBj`9lTEeoE#(Ckdefu;d@jYA+Shdy&9%i;0U6Pc>
z+9=V$V>MFfzDg?P#1ID#TjdEpUtEgTD)%hkdrM=p+NeZV7zbu5`pwN$rSVcj>O)43
z41W5_y}%aWfN5ToYgLFe62mo$77r1y*xEAkL$M(Un@q_Wzm&#11};SIQQrTPdBfb!
z(h$-<g}D$+WpMij(|gS&M5HaFHk}zWfIFN0a_3LWpqE7W(S#Nf9-)T1TIU!*YW~Nu
z=A{IjyI_g&d}J(tg_}!P833-*Kkd!yMH#XxT94f*cp%M{y=+k*9KQZ1GGZW$Cvy&1
zdDh9}I{{IrJ@@sYrC;Z5@|Y~9j1wO#>M0^KgLy<WLmy%_#53b6h**(B+xG6h63S=v
zY%KQIhfkswW#kkRR&@CcaCfR;lk1g(KP~jZq_X>4afBRNRV4SP=%``1u*&?Xram01
z8FBQDBx8?Q>bB>}>e!&{^vO?NANIbKsW_TRL6J>K_a$SgSh6c{-A>+mY|PfpPL1-I
z@odN4fCLRRPEK3SVCaM4_aygIe2Q3kX{79JIt?wzkMA|x=)=T6T8qA~68?MJlFcg9
z#L}V!`KaCc@b0MnLf#W)%vd)|_h_bLGdtfaw@M!bLkm_9IIE)Y!pizr?-(dCe<s8G
zpFX^L;I32rP7T+}ZD$`6VBsC#HLS%z1NdWjt9{{tIwn*W@AIUwF>k|ydBGbVciu(}
z*A!9lYOO<fg1Hu!U4O;m3pIq^xWAlxu^QO!q6pr0+8F+l)A^9V<BRd8MR7kG>T&ga
zBe*)a<az7)nJx}w9rS-fw${WCM@dOV3d?Zkqe&M1tP#XTTG$R#>3I3OQU|Md8G8B#
zW+|i^Ls-C<zZ3Ix9Ng-rN(<CQx$<agPofEkrzN*|KV{(VO*=g5n{-jx$2Zpdm?<PQ
zFdl#9^`$;pHP6c<x+ol>diilFk0VF1ciBo7%JuG8JNQT!P2+Rc>Nl7};c(2Gj3E}n
z@eM&^TXb<UNB_{<R~GR3-ptoC8`;<sopiXcVHuuHy`2|0#RXd8MBd5<Hg<cIpNsF-
z!ICNO$?yLx!7ni~WXUWWZH}3e7fZF#uk69G+cQ?+nxYY+BBO;Pw-2$?40$~zu5edH
zD8Rnl7RQf^Y@9jP_s!xY3%5G1mOjx1pde4{>u6=;^!_t%VxKWkyKhI-u(CD$4*&rF
z{}h*JJl1a;#_gTGmA&1#Z+rhvloFMsjQDF9nWYq|P*Ex?T2d-Ag=|XsokA4J)(}xD
zD|<wEJa3N|*ZN$?`8|%a9;%fmkEoz0&mIxQNqMX<Sb4|oYz{BgqP@uP%4k#Qnpw{v
zhY_qX8UE+ZA!8@q_yZGVwCw2M&l8ftA3}8}IBuCkEPJfm+9@TxKG<2m%~uj7+w^LS
zZkq$sowVri+lp9W2JZKI#E}eO`%rt?9ER9yf9ho@;Mx|kboVF`9B*PS;X7gux4W1$
zPd|{y&hvCKtmg#LV?R%6k&!vvv9fGRxGsl|MzW7jz2!ry?W3Y@dULq!IXiGATo&`H
zxogSK+$i62D>R=3xRg8L&F3eBf%hAxE895mcUZot#VG(h!|l0azciM2&MNOZ&WgUA
zfu91D06NY5Egoh`qKsc}<jZ0vl<G@7c{i7Uv_z&6soagotLSU&bBO`RU%zlZy=Des
zhO_l;_2Q`WajThfKOH8Dl;xJ%o58K_(l^#?qIh+uNm8)u8fo$Hrk8M*DU@^97w|cW
z;Q4rcHMMsuq&{7*57VLv=r^vUH?|2O&&8qm(b0e8vSd0}qOA#pD0I7T2@pgpT~GCp
z$Nxx;<huOm3}bl6=kcmiRRH^<Smd@3|09*R#<QPUF#_$!;_WT${1~v=sifuZ3hA;h
zu<eVB5%kG#x%r-*59zAs1`p@0lBt8QcFa~8Lgt3MPK7GG7#J6ST$YUvi=Qj;ElC@~
z)JdV+5v|<l|D-~@;42-zXtNmMziI$lQyR;*F&j`nmQ(6dJ3R_yUbA;u(1)Fsq0CI7
zT-f>|=4;4z2Grc&`C#aXJ_!13ogKKxiN@fXw3C|&^Xj#X8~XG>|FUL+$t(w&z1xym
zx|<nMc2bPbSr2~Qktj$$!+}-5PhSwpXTh`Iqw>0YbfJ8A;l(s62L_jB{)m%iLuc#G
zK#l#n@TK<H?!9~*NYmge#XNRA{@+~_?e97e=99Q-QGx@xUv?*S+jC-?)4OQqV>&Qt
zxo47p7YCY4Bo!SL+<=9ysiDpEI?#NupCdAt1DmzJb?=(tM(t%4t%^I^V8?VJ_=qYe
zrrhuC9S`NjYe7{Et2)}CXJM&m*~W=B#v}E_6+RqrPx<h@TMN?V&$D*i=fXQ)r$=U<
z@}q^$kCcjVE!Zk&_DL>r18V9NtsNf}z|v3$&2EYowC}DGz4VwHpTf|0s)i6sB)YNY
z4bULxV0QDBUp(l@tGO>TQ5avdD%e)sr$KwF>V|*Wyl7SYR^60S6nFm`<hXi}2C*7+
zWuAe2820hUd8Y?rxQl+ng=TdcjPTU|NZQViK215YT0151SWw1Uf{_M#%c)7SCIaZ^
zKUvx?x(T1%4tZETNQE=AnZ7S91+io9Z28|cNwhy#5@Ye63O(=M&a501!qb`cd+9Go
zqwdPhlY_NXh!Z+jb@8?^?%7k|eke%>PdSut>1v=t>7NLd#vdZ+KI<S=UMPz@wfpu2
zeWrq|@>t5I?P93-G^A0nR}NqC_mr!yP+@jd^I%GYII`6=e{&L0z`e53L;{Tlue<7w
zuDEW*6Z=!2>~v5>kFLq1#AzBl?dm(4#x98ybVsgR-&4X-MWdMST{I{g{uFH0EQJq4
z&E%f`QpT*L>{1D9EeH@6biUdqjki+vF@2<|VzSP)0N+k6Fmc#>H@{v6EkE}BCw)>4
zgY^h2(bL*+ocdF~8fEe6L+OjfPbgS4>(Ih$paZ#lU0j|hhi?YGZry*Uj>1!gUn==@
zVc*%b#j+ZC926~JA8pb=agWsul35S*mLxta)+nIItH$cCOilDEp*u6quMY~Fz&+uG
zBHl1`Igq44#nV5@+F3mVICLj_QY%*pyQBs@_PJ2;a9OLbO`su6%zggVb6FW5P+li3
z`%!VNGN@Rv)Cl69oSq%GQ^8YflH(WlQE}zg@MAd!6F8DIzq@W#1?L=R<M>6WsDGrb
zc++lE;L^p=mTRggNWQl#cGASr<Ja<P?wCPin%vcyX;pj>@bYSvx(0gFwQBEaB_P^U
z(O^(h4O=T9!?~D(<FeiNu7?0D=(r3WAk<LdZ|e8F2~})~<xsgX4?sszu1l0sL*b?6
zh-1^rsQ0;>{oO%xkf^BMA<?Red^L}@sJ>IgTi?VY9+#WLalPdSmiDS>@S?YMLySDy
zX8%3%bjBR?TBZg*K2|~FuVODNO=a=0-~6zLs0C0=hL|}&Dx=oz_iDcur1018pSyz;
zETHRvx4zPl68Z{weuNAO)LE10w%=$0|JWH-Hg_u`UHnOl;hQ4p(<fqNvSto%>pW|J
z6)B*=;|Uqjbw7S+xntkaY7Uv)Np8==<uUeH+^(EtUfka^Bruz74y7Bo=jbivP%ZP<
zme~WGsF#(_d&b5bs`Pce+L&Z9z2v;!o#QOn;a^rDu>??KF2NA+RvOQ+jP3~9%Yd??
zWjU7V0B0|Ii8ZN8VZ|kRs_owuGG|=Zkkbm_c>Af}^q)4ORDD>+tAa)Hhqm5=dkX=@
zvAcOsWr(9YtD&EK)+}jx-e<oiHvx1XSOp%&i{jmc1J<*pQ>0q7(y_uFX7I)T@qFri
zVZ0M5{h}mrg4C4GVT+D8g?hsL_nvk^jN2b!euZb8{0|*dd)rK4VSdE3KwSX0TzF?z
z%RWZt7&=&76E%Tr!_3!SKI20Xr%d^6vSZ|vij!9)4;#a=Et#8sI`X3Rd-1!I3gcu^
zw65hukr6n&eO)ZKog3}r+{R7}{~_&sd)2ATMsUghk5!Ty7cTSF30}yYB&R4{@qb+n
z;nm}Y{CqnOR9B4}?G>0NrC&L2vVU#>%fes1UYD`q@0W5BCn{!07x~Pmy5a_~aFrUc
zx{no$CMR`^F3ph*6RmW2BlLlrIV&ld%7SfsgRT6|ERgikRkp{6^`MOIY<RmFGt%{Y
zr^H?VORgDYUoUdhgIRj9Jw!MYitAI&KD=2bGdQ>IvVErucbZK8J{)DlE1~XZj*736
zDw1_i4b64ICF{s4XA~nQ`bZ9*v!cT_hU?bBFLj{%OzPL+&5YPZzek-Xksd{=I>(oc
zb)ete<k*TDBVN_yjWHT!z|E{I{B5K*49b00_0(s?`Gh}370yg3#BeKkZL2m69Dn^R
z)sqqT6&A#$d}YS}#-l23tk0!_6lRr>GDg(%Qm0y;Ue6~|R-)OST5xIi^ExF(CX~_N
zPIK2}$0s}j+wGQVpy{cYqFcd)hYo8#|H#0JB6)#fl{aZ1uP`qgeuNo+Tzp;KHP3|~
z?tQ(qL6-*pC-~3Nj9Bn9&&>BCZXVQKjr6_pi3&dUP6s|vSds6c<KzEx=9P-@$nlF*
z*xfz%OU|4PM+yZ4X}#+?;!IYQlr|MiYO9zxhqB{YcFX^MC<|bV<yN=RHcg1yPKmhE
z!GW`PCwzGl1o8Ox-IaaYH6dGKRzKc>3;)!9Z!YE)#{c$SeQwyU0Rc8Vp^7UTaLbK1
z63x#<@Wt>K9y=cm*sBxz+W7+y3LdQ7y**G2vrX@LJ>%1W+p_AP^M3N;m3!BFS9VBX
zRZ~oZ;(K*)6XKMu`p1WV2eYa!+HJzSTF;GI?yCdq`vhxNH34L)^0}lMB88qmS+{dv
zQimHZe$T3p3*y7#wGBrGq|v$-zGla$L-6LCOKY7%m>(hF_(e<>ciUQImOfU8M_0J@
zo9x%QRtU2>9&*@{5kFNjtPazMr+$x*iQ?Q@NLfXB^q*5bAF)dV4$L@skF5KbYsbND
zhtw6(#N)7rb)N?OisAkCDP%oQK1$tjE=LL7ujvb2y{if7I>Oht9g)ON)&+7(O$E2G
z|Gjo%GZiwd<GEOjq_HL<DMP7T728eRDU3Z-2$V=vx@s$f_ooc(Hv$E3s&aCuT&4l_
z?vWV@Us;q_%V;uqt&W?OqB`66X+iDx@3|3)a=3SA@;5zgP5d)B?j5xL53860CM#dc
zV_Up+1J7nEJ{62BtZ>$W!0j<^b0Z2UKVs*t|Cx$)qFM{P;&g$xfV(kVSPAzQ`t<4S
zrD1%-hv3+6dXO<8wEEmo8ClLH$$rYG;Y3j8F$p^Z_{kmmTW_ZdZt|9r<M~R%J<gu5
z-gO(oryZN$cH62VgO8K7cP|aAZi$0WfH45``yNgWHDv28+xjA#hBvwXu61#kLWhob
zoz{pNs&6sB(QZJ)sBqn9)|qDTJ~yqBA&i30Mh26alBk$mB<?aP3~;(}v4pdSf{X&p
zomxJcSl0j9uJAp;^+3ify?+!;k}28o!$uvi7RT8nA2WwTt2Q_Ee^PL}Fpp|xuPU~7
zv~(manS<K^UDrS|1z*;sCElYdqkCgXe!I5?><ehvxSNH7&3|sj4Y@0zX5ig<u5t@#
zo*H!h25MNjH()&MqAYHUVDh;6!vbcr443|FQ^nqv@Ip5)DNOEo_{?e60%YB+3(qR3
zAm?|_vKCfx+!c`Ap7zTErndc1dD5qZQu8CtB$p6Q8vnH{uCV|en}T_bbBfr^pqarN
z$BWZ@{tAX&TGxG}-*&PqpyV>}j;XWbgVfTEB1RT4e<&-FDNYU-M=p34x-+0x_}IzB
zZ|3mv&Uu3XZdv?%NPF1O@h{2VXeWN_oH;m3PI5Nfkj8f(Ma!=-Pm;?I>}B^0n#0VO
zDQ!<1Neo$La;h{MAa(sLOrvuEs)<J_|6P;7NoDe`+|~v%<i_<XiXp&iv(U`8Nl`oi
z+f(KQ%82ym?~6a&Bw$a4ZR?+KVH`QRlzvmWjo8y1)=*hx2Dc}(QtXWcac5-hNNE2@
zLRv94D`&_Qv`v>pr{(yuxZhKdP4g=;V{pSPP0$pc1r6GBn(*SFrkR80n?7PJyJj!V
zdYxYjH}YOGZa^n8I!Du_kBI!TuP6JWF&wXwxY_=T9Yx>A_^|Tz603(Ithwuqz?l2-
zO(SVmG`dtYJ5cbEm_G0$dk=>Z{F-wT5_!yoF4NNQCHy;yZu#v_JN6mERYjskD2xG1
z>n)B7NPHkl61J+m$uWTR8917kNQYXTrfRpZ*AdU|j|oJr>cg$YU*Sp3E99w7?Kx87
zCB)z>|6E%aePG>x)o@~DiL}ddI-Gp$8cFMTSpDmT9<0Q6#w-Lal2&&FFI39DAa5nC
z4M<DtL7>b;YqR4#Sw4FKPI)(y-d?Zi8?WesReBIwCeM=o^k<eLy4uM2Cdc@q1szCc
zus<*>F+*Nx>wZ$?*F&C&dbF$DM+ZXYc=;?wrbtQl4aTDjy(H(24E~aSZAj|a@9wrR
zNfs2(A3H`2kfAjh+hUxxVa!w9*4%WG9Qwx8_?7Vo`SWd3j#!Ttn1;~5a0!?or^|Nz
zY<mBbR9e#Q+To-H`5*X1jjR8VvG(HEuBQ)^hi_QQa(|`4Ju+(ayyqYC;?S#Nm6$Qo
zZFtJj%995F26HF+UH_1QbyC6N(G%pIJ-_e#n52T@@2AO|AN(Ot#;-iovYR6LiI;mn
zMNmQGaNEo~<q5L!`l&1A<TSZ0a@0YDp9(9QS^AIXC&=C}`Ztvx&yoelyYDIO(gfFU
zKHuXmPLd;wK@}-s^CSjd*NcnPfLY7dwnEAjDJ^MP9Ob`AhWCG*b*NN_sHf}+9rIJ9
zV#sXN{R>NE{i#bI!{#YqUKhC<IXF!Q%6|*_Rr8PBl2E&g!I%PLCffzeCTB=xxBcf{
zX|9pVkIh{cqSZiit$p~j?0Q}?3bz0An-0~dj!qu!QH2Sn^Bm3V=TNqDd#3NmfVtOL
zpT}vcf>r{@XzS7fImf1($@P;F%Y6I9BjZ(|>40fyde&dk{oAYC^eN2vJfOSk(yTJn
zz5kW&AHGc9b$fGc<^(I+Qx_s<4=O|7<?8yjm=$s*%0y<v8Fn<!v{usYQG$PcXUqRI
zu95yU#<1pMPQ3T0GqJ%z3D~_C9zBzx$MzFvT9~D|kx7znXx|q_cue2n^(dSHE8QLq
zP9I+P*&C;vJU>Oab&1JRdX*7<yaLP?d-#x+_idzxMG<bwGkb2yV8-S<H9@O^0(j+g
z$J_dR1>hSdJdOpiq8H<rLqZfGTsx;_t#n8M5_au<ZspI8j9S`lNBBi>Deu9%hYAXi
z-LI}ubej{W`tt^~6vVKmv`B8tl04Mipn7yKY{1o|A??TB68QG6muvi>JlLup&W_o}
zi)+Jm5np;YA!W8^Dquh!)Q2;8rb_sb-}Q)Wlch91^tK`XTVLmFVaT!{2%w~jO*3Da
z3{Gb{I|tJgV4nZDufe1s`Uc(aW?Ikt^>R|uLDv+Z%=>!Qsd{15@&2OLGcJ#smse9i
zY*2(xUTSt6uSIdxIX+;jR1ph8F1~nQtq9>wzb20VTIaq{;qTmA${5%Dg7C{yf-6Ip
z1yb}jVfL_C^LT>l`aFND<@{C|R-J-<;-5*O)4y`J-c$<e)uq|CYpH^4)#!%@$})KH
zLGM+^5)F(Ud!oN*L=9}-bu+}q%Hm3{YT7n0DvHEYbd?v?LFSBxuPwbiI?7CL-W@<g
zj@MD&2WeDb{KFL$d{F^asirp{dTC+Q;Hbgz6dF*TRR?NwD`BMb&>P2X+Ss%Hc{Oyj
zL8(kDM?Q7EXU%e7V`kOCeO#&Xe)PH^;4avuC98_NHfa9Gb4v$zJT9roTG4~&mVY!;
zQr3B$bJHx~w+@DcY+UY_F@#$EJ~6)e_4{<5)32V=LA{}ysq*VRf~BYTtG=2BPV30f
zp5*A@rycqBfyJh<hxWQni=v6X9s|DqjO)5+$coqs0o@J?<8fn}s4KhVzLilM!?-n=
z=|s$7&%)XJkEm4K@^+Vh;!_%Wa+OHl5wQS5psREUsCdfOrI~@1ieIdRb$RA3fR`pd
zxL&;w8~s1o*iw*NZCGPE*AmjMmAqgo*TiEl{n-+Xl`*L6@6KfP&A`CoZ#lo-=Y{9W
z!s6NGQ9j-Z?uKuMY)&&>?Id+XZplqiZ=}%uMC*0Iw9QcVETrOy00lQQ>QUc(6Tv@9
z1?SllH$&3i&bt||sz?ipa69~v7vsGCloYvahUVcX->GMnu~qlaAwPE}EL8g#5XHP1
zoOjx^U5ZphmaXQ(dCAjc#lU3?+dGzE)2MCk6e5pw69bK>-vp6Id~Zk}5w`?7`Iyxq
ze_7nFV^AIZX`GnYE!Vw0$pXmW6SQPMY1C**@lq;XBL3r1E;nShfYz!8nZSjO7?$yZ
zIirIf(i)l$5+UYbbFG${*eZrx9kORd#hBq}(~eS$QGisHTU-4<2%&VoQ{%n^tk7^`
zY?*c#;B}ZVbMQ@mWPZ<Z_vaTjkgN%e^+N&{3wNF3G~mG&qAW<^IXhhG?NP0-H-m{b
zr)J>>b{u^7-}x{p4oI5fm4Dl93ipuDY;PA6K6`rB!;H!S)W)RkRx>6rGyBi^s2d&b
z<jRlaW95L2ZL$fK;wGSZfic^?aFG=M!R8nEf*tG(>xz!q8iS+Bn2T-L6uJ9rX!>4P
zb_n^bk^1bi5v<Z0^|H8rlAF|pGX5>Gfl7MorphKm*y9wPJi^>Xh6{eYapDmh%mr<D
z^hv}J==2&S{c1wV9<B%C#!hUI;T_z1($4@=J#zMZ7HcO0XdYyP0vqhqS(syZqYp8T
zlwpeN0HG6I|7n_=4FdG`m~biS!-EOq+h%>giOj-CCKnMlcsly>6*XQD6hB0RXvqX&
zUAg?dz?=>8dL91BEbGF-ZNAZ)|4kD#jFtPFzy=+6@+s*7x^OCJsb6AfjyO2#6W`3p
z4)i+(Zd@4Bf%_%xte+n)67PQWGoDOi2Upp{GU<nO;MLuWDcg;giHWY(PO*a=kgU6F
z@7ND*Xq-9GWk;?M*$?**ezN6+1(C#yPX5|(#<hqNAwdUMZkat8IK%}2UO=J0uOD_F
z9bVLei}|(%U3=+a(DBQ+GnpH}XtHNZ{?&E8cl8--G6P7z<Ta8M;DP*H|B+WRTCkI^
z{S~E$5n{wHmKr$m!nnhu4D)Il3?0jDkyB&_<$f1YHG&Ux&&vz@AE1HE4i>?*i!5-|
z*6i>Jf**cgH@_XhMgvi&%ooZttnewE&(p|70J^WMceIpKVWZyAf4ZUUaGwJ8HHm^C
z^dq97+K&n;jhpABg*n0L`&C}|A3`9RIKul@i3;4aJpBf(ToC3H;2gY91Rke_^RIMk
z!sy8(-LG=F;r2lHl;>|zDBCCapWsnVD49}Ln6~GI;Dx~S*i><NbEPZ!h}gRBEZzP4
zFdrOwu=YSMXd|dgsQNYaXh6O|0Ef*LelU95>q_&LgxDRj2lnM@K&Go`ZDO4OC|lD>
zlvzqcXjak4u@nt()7iEtCL#nQbb_<d9x@O-U|G`jNCT!9LnGua2t(N7KUb&QvTz}$
z@#oD(4VZ7&vZ-Vdg%i?YWwBr6U^d+Qj2NFL0F0eT%MybW%HEuLO$AuqKHeoBp$RrD
zc9Dd;1Sl&_*;OVff|48K@D9%P_v!s`?wa-{`0w51MlpJ22oWvs`yD`q&ot+fZW*a{
zpWV)J4pD*Ru8hhH!&LZY`ecLi4QZ(M&^5d~sS0b&Vy0S=G?-G0FYiy6fiqTK1NL4N
zaM5X|eACu~Z@U6DYF@|!{T(OK=~i{9qH;HFWYLD4y5Y$?pX9*BIH{diNfUO{#)n51
zv|;|!zHe6l<iRSI^qtV4LYg)0$a!{MV66Wt(l4n9dg++?sFVt9TN2n=jPzh%t5jIJ
zi4s&WOr}ap(qLJCN`32PeK>dif)SIQGJL+q9sJIN20x8!#?Ou$K&IZ&a<o^0{?K4n
zs|z&X@uy$f=)IojUmUV#H&X?9H{*D=AQ}wrDDZC?GX@7*qgVrn8ra+Xd@@3zL9gL}
z^VO54P@(lnV75pN4!;}!Q&mERCxVmi)AMGK<FGx6S)Br19r}^g%v4yq$b4r)3qUSZ
zMdrXM3WU-RxeeK9z`4Iq9233(<ml1N8m~~`{^Vqhu?_{ME_u!<uJ_GI{btVB9ux?C
z!Jo$1r2?nEmUK9cnZu_#qciO+6lk34^NzPr0)uUB!Sl8jkQqAPdOJuBUdt}tc1@NC
zjqAmo#)%ftNDB}vd#nm)4Pr;E`eeYgNnyianFSne{yLddqymv1()0d7lJIB8gU_s_
z1yt=JY*&+%*Y~e8a`Y7go1F$v=kqO~=k;#u;`KZ@b0g^PxjI3Jb=A4t8f^h-IsK2m
ztSW%C`r&ZL8@%A7Ht4IneO+Jvr<;)?4~^cd#mAf2At}&1WPH^eG<LR3zNN^4^`GC&
zUZ)x1wPjlQqa1U%Z=x^jO3Hx9s*hUH{(nU6g_ui^x0(a(r;}~Cqcq%k$(PetIzv>y
z<qrBe0O0L1CY?FE2^fSgzGTWBCT4!@<*Nw=u#5WO(eEe$TJ6*1H~Bt7Gu>!fiW|V+
zQ%<G7PZZAdh(ukPZ6*p@KU9ue5nyFmP`eT*43#>K6mH%;g8iVu(32BpkUg3zJnt<C
zmCO<OM%(g8t+p$9QyHevXnvbTCXgRYG=*)${9cjCJbnBxKAOPuQQhT|hrG~kxV7n=
zVh!2;t87;azX>Fq%QgGEvH>;?jg`NfswQPa^J9B=uk+|t!9NWiPDr9frbcL#kp&kH
zC#2mnf~u}zUkGA@UT(A9Y|?kh3k^5oKYlZWvphQCWl}7Vr{47A*VP<?&-BvUK&l}K
zROx+uD#QeX(t|51?nt=F6{Z?SulG%_LzCP)8NlIliv;<hiP*-e-N@Om4-pjtrFFG*
za92*FJZY|j_?mY<r`%K@7AGdf9)4dX9<k<-)@GlH2HwR6u19+CuTej?EBhazrcwK8
zlhZe1bZpzH?`(SOfWLQw+PFlJ+7jfUhu?{xJ*Q#>PU=F+_kHRf#9yLtp@9Cz+)u)3
z$F66m*LlPoquBC|X_5G@S3vjDafC3((ujFy9k{ob{`D8W1>&HGuUKE>IFWns(7wQS
zZD2j6Ty1|~o~R8>blQ<UNznJcRe!rv8`f+Op63{yBV1)?7N$>36RyXyPENOILG&K6
zw5$1Z1Y>qsu(#bTk-eRm|7foTx6Wzp7Rj6=Tq4&lsuJ_Wm~wf2;Aa{%Yn$mkX__N!
zBq|2vH!l(g6%F^~uJ_HeHqGH9GV_F?Oy7aD!%M^km8q-eXQ`mOGgn<9Yn~9*5A!xi
z|3|c(XcnBkM1|V&riv{N3q*W%kI)#?8o?6kQ%Jvw3T2%a?LTNN5-dBNo<}#*K|{@r
zgYE&EAW<16-J|oDAdf#dFRRD^wejwHe2+EYL$jmnn%5G+d*AP&LmDIao_Y7#a6}!B
z)1D@rc(Y8XyZ$Y7(qV>%rCJ#_9d&R}lk6UHSRp!#KLlrtvViQ7a)zpC3dE!{NW}@R
z5lNe!i-#K6V9+qkEwf(@LL+Y}^GDG^tRHI!&wCDdrqi>PVxa~esU-i&6nemUyN?cQ
zTyQkkaH%t26&AZqU)eP?!2bXM0RR6CmuDc=UmV7b?7jEi*LAOZuf2X>mn117C8U&5
zQbr|zE2)T#L@7~LMI@x6<abDR!)O?h86vV*`Fnd_oHyq@&-3|ohj*$FkMV)YscmO5
zB?9dEmO0iWyAAld^=b<K@x!`@#hiAY2KdMBsIW+70p|b}g2xF#FnG!2bcdt?I?V*P
z6GS%9*(Fi$x*!D4!mcD|G^hhzT9Q#|njPHB3^#0ZMc_u~Uy~F+b#S<Q-0Jo>PWU$N
zueWke4DNO{_{l1&1E<XOb;2As7>MDPia`=kQ{r4qolpaTYr(<+rhL$%xXKrKM+%O7
zKY&TrtAUTOTd?2&KR6cfzf1Wo14pk~ImSO%gGkGcW<C=^2w$7BXf~9GtjmWQOOP6D
z=lZrY^Q91clE~JSyr}@2{pULMx9(Ro%p=@#6oG;=o%-h-N^q7%`lL5a9d6ito39iQ
z19{D)q@;9ZxElK|Pb6O*1lEW5N6(AH#ps=7-%VBFXjjtx8qk3IN<GqiYm(6HaqIlp
zni`x9&$@Dkj{uy6Kb^l-WFT2F;ay3q25`Ka{M9C^3Euxq#ixViK)!t9&XXcdpwF4~
zygfvOo1#^dKNsbJ5_afIP?{DTJ@e*N;4dw>y8OtO#as~<Hj0b)M3CVw{b5*f0~w;^
z+0373C;=zwdf~+<+AzewZM9}i8ydUFJl{8!!RGyte^W9AT*tkFX=YS7c~0@Lo}Vf>
z{Y>x>KSTwImPM255*qvz<+mmDsDZD4WyE_f8rVMl`XhIjE+ibkjb76=V5gdgm2(OW
zqW<gV8WzxpTaE#%aajZyaE@VXAELofTP*$Ix&dSld@@}8p$Vmt*p2s#G<e8e=03V<
z1O{(!q@QNef;FiH>%dwXoKaOcWG`q6$%`@N%S&1?$k)kr52L~5o1GUjl`yzI*v|Fo
z83_an`)4IiQ(-XZnub~mKt>B6uO*obCI$aZ``b}qqb}&#W`sFBd9aom>p_Mqbr0>c
zzmOsObHURnJ30g>x_yh-PKNkmiGOjKM0jxK#S8v_bhz=TFknwN36c#iHF^tZfTr<8
zx6EY=U}0ExD3&F`(Bxm&WEU0a-VW$dzXkNlzfDDwT5z!7r4!+v0+iOB!u)wG;e$=J
z&+E^c@S)}D8RktXu;PDz>7Ae@(CqS!WL*f*AyD*Q!9WC(JXcw`<}H9N!?3RJnL5-F
z1(e%Vd11mx_29o}7BFs@;}ATf3MCH2-8#<9&>nkhcGJ}Y#y*?oD@&+=Z119<jllxu
zbn(Sw-#>KF>ar#3m?(ik<orYS=uS+9$%ZBpN{8j%ob$;?6~OG)?L1cQe*DnA2z};t
zbBJ9MTV7L_gY>xNrzr-1aFs^EVS0!;)ZQ|16EBkj@4&Q|JU3VH5woJ%sRe+i3rwj-
zKH?DN)X8{t?k~Pai6`Co3_z5}pE_X&5%@f_|3-Be1F|bRC+9kW!Cdj&X7M>exHtcy
zR*jVj>1BLrJ-A>7lFw?|Za(6J!nkw9;BqE(Rr$E!adtC!W_micZL0?ci=SL>T4h4|
zoCh@eR7|14XxvODoE5}B$Ug8~W<q#JoMNu62~>21vLq!if#=AB+0|Mm<nXBffM>Wd
z9AdmFxsUB1W<P$lUciqDseE7FR#;&Kw;=v9d&M&5wNx0Ex{V1nu^k*ATQG!aE9H7~
zzBw!?!CTTcoe|v(lpVNXVhEq~_Zuh(Ok&=29gzSnMpQeUYpH(C0OH~!lEvi)F}*?>
zm*58mq*S{jUF(NFTw%3wd}H5%5y}6^36TsaB8`@&XRHq^UtOk>0!uN+@xbw3Is?+K
z#>+<T>cO$w_1Da)wRo1Rv+Ar21G43l${AzSgEac?YeB4Cc#>}3onHbBs7Lvq?XsUP
z{78;*^mOmX2iV3q-Q*e2qq4aCzCIoJVe1*Q{&N@?F5hK-+=c;ptWA4*@700JI?PSR
z7UOsmdu_|&bp|wN=E`uYg$AYW^v3ReQ@D;>&v4@c14^cdKl`+U1_#+s7blC&;-bB$
zvu+17q8)~vA3~a`klxCBC*aQ?d_PIkL`#ebWgp!%bF`xZ=L`A2UHCli!BAA}{gnx2
zsaja=>!!fFRE@y-xJCTqG2VtfmCWd#@5q^89}2t<5VMHizl@vc_bw{F-iGSB<vzVy
z)rPbd`mIIHRh)Omtix@P1-ax3Vj9=ALA98_-;#eFry9u4R}$G!V;hT9J3$-PwAq5~
zIR4_cll1*2_t_CaHJ?8%l?;DuF+!8{CeG9KIM~3L6Hzy5Jia|7klHTUpjN<uR<*Ay
z>|y3c{CvCP!U!Y~b=Ll`u8R>dU<wPT*LctsZJ#iM%UU4+_1r&BF=k|c^mG1i0e<8h
z@x)$hoCxd@-uh#K+tBR`pQUe_3n1Rlm!sGY5aDP2cJAHdEQpWFeoZ_{5OoCHoycg{
zgk-+A#(N{!&~)$gr`S~?q}r{?J?^Xtv#&Gj<#jlal=bs9?idktyQi9}^qT;D{wpbL
z{9MSVXU=6rR}A$Hji*)LAV9Ya_tI%$9%O_v=Iyv7P+>2_xf9j|pq(gp>9OQP>%=&T
z7<MV--EdKjBtU@M{>zkr4t}J5WrHb$EQ9P-j(<HqqX9QY&o}T%3!;Ywd8KaAa;Rvb
zw6t$j1K6^2Vni<rA*<ap+LDY4NX$^Hzj|2%E>(2xG-DP)IW1qU7Y-;QN7b$~FVqQ8
z&1RA!moJKxxvMFq@05^xlf(3KH~}v0^-Y%Y5=Y!;ZoMtose<f(f8M9FN`Q#ksv2yE
zBy!i?&Er3$ib}4vpSqu`3FqrZHxzbBqc4<?N!JtA(cV{W-UE?DXo=_CQ4t`EOxeDN
zI_)5!;&4jQOsW>7KapvSb(Kfb+Z8PT<0PUJ_ao9~ev*I~sW&E>q<})beU}D5YN0kx
zru37b4R4Cl?Y%!JBD3btKMy655t-_x%}S*}`=3V@6B5cu{rt^%!z^tSEqzaF(uN94
z+;>>CPN|?>RS_L($0+FF^4Ao*1R9uiX3?|Xs-hj8iN}`tsc3OUFhX)k2b>tc>0A+0
zNA`CA#k|d;BGC(@3_dY>FeM(YI_aT-G`^%)5g2G_k}2$$xS;_k{0cewCWC+`gYERj
zNi>vse(HV{n-LIX6!aOZG!bLk-QD*UXsGFmk+#;jF<ei*&!+N>h_1|Kw6(NTQRZSZ
zH_Jy;s4W)?y>dYd%~sy2sW7IZJ#H2zubyBKtrYf#TZDvq&gOgWIZQ$7+j92qeFY#@
z@{MimBnh>)>#My2Z6xhF7_ks%4jX0_#^gv6;wZfRqxzE;vJi{z_|J?E{5#i+lC4Qd
z?4M-z=XwH4oMg8cZKp%)0qv)ETeOhXC!IY-VQNUr(#1~}EMRTuqQyL`7D|4~ac4$E
z8F5KCv0KMlz;>g$og&OcWO4Cq6-$LYG97Ao(e}s!Vttu5ryB@p&)CNc2gW3kcD?#>
z#e56+)<$Zkx@n*nts_IZUxZN?Z>Ew{lm+N&l6CXnt0CpJI^Lj{yogNa4?JUT0YB=v
z=Im5eQT}5)+e;!WXh)2h^~w|-wrO79KOUfrY}f@$<jPj@AhRXjomc5#e04kvd#Q*x
zt>3U-pZkf2x}V~75~qXX`OxvHt$&YH*FF`57vZ;_coAH3%z>MeRad7}7I{*huQ((R
zU=io2c&n;8EH;)5Ohif{AFe?eahYkXZQ*5vV-djnoo>FtA>ydm!NtZTa2}hGxH31a
z4G>uS$KqM82)a_UVqgAs2@9_pPcI0>Am8-1l_sMQlKNnC>j(QPcCM$y>tC!H>^;@j
zdj2LqN@ynRdu6$XwKrw_Mh{G3<D0sh3C@kQLiG;ozg@%jMK3tGx0*m-NQm#pYIdaP
zadNME#Tq8h`<FDfVhp6k3w=lASWve2MtTaihRuqd)zl;zLxij1t^I?H$jWb&<`lDv
zsYe|9+v{rt<>gLYek*_Rzp5eInDbUJ&8QEgn<a)|_W6iDYsU)C81d*~#p7ixx#)?;
z^ojwT{*J7;%@=UmF~N=DCrj8Vhv1)KI}ISjCRaf~e-^(+j<`*&TEy<}C^$E8Umt>F
zl$REFP2eIRLzVfmfSpLcy}f2#4{iz^X}ZWTj7J8s?Z3mdfPK)~%hKeg2aJ`fN9;y=
zaQA`W<Sh4jjJKUN>3N+lXo`8|4G6U3vrNIeZg$LJIg&J6Yb{+M4@Yf}eTDFAA6)m<
zotVSQ>YKfGX6nH8e=~XI<(KeV3%52BRpv1IslBaN`E<7WKP%70rV6`da#p;Jbq-U?
zxMtTELxV=*L`DUn8Ov$=@#zoG92Wh;|FbL;4RWLVBg%GmVC0U|G`jH|wxi4@lYEg1
zhBh0vudjW@wEs)jn@gI*#7o+W|1eV_sHJCi^K2hhBN1G+ons#Rd8*rcS3Cux^>&LN
zO8SBI0>{^fkLR%wQD2g(Fa`Lubbj);4PogmGL@BQ7O;FqGu_iUTil+|QQ-1-1UsB*
zH|p)Rh?UB!92TT%!xBRzm$~Lo%wXX7!k?%m%w5<xl09LIYg_tOb=)Vg_S9cH*BX~G
zK0iC>fLA0?w+v>X-TQ@^JxjP6XR?YFs5AB2%xHm+OS<#$+%#6zaDgZ_xP}RnO8zDg
zv|vRtS+b8Zi~R^we3@Ulfo-n;>ZSS-;YSF^HJ0!{*v0z>m01n{Fqw-p1yG?0f|sZ^
znZ0vZmiOnyOR)^#<10M$mPr#D+^89c_AOwUBlZo(t&DIsMzW>r00G<&Fy|;vE@GBV
zJ@Y&iW^mmnZ+QEe26P@6`#qJtj1BoK@s7OS2JZ%qKADSZK;=|&;avDC_RuwB=I?1%
zn5{0z6^&AdNAda|kE7SIu+}3>i@Vu@uaU<$;Ex)}?Y4~n^5QS{^X5WVy&EU=J|1+h
z^;HA^sdWo$J_gWjy_;2kpBpYsX?5J5QiWQJo7W2uGeYe)@tATcJ_yx&QCM(Z6?)99
z_@X~Df&OVn=dY9ea7)r{xRqNKf{zP2|MS=eN4Z=tXKwlLUculUyiZhMqVp@uRY_K0
zz5Q@Sm`51=-}9V#eozH2>&w<OZm_`tzB5S<-$Y<-!`Ne&unI)Semnkvn-dIftWl#s
zh{4!1jkL%8%HVau=g0Ov+;F+wW43or0tAxY&2YU|2A+M(sw@q>uz862(=}^pSP2?6
z6)jeV{JO|F-D-YFRM>Sar9&1N@8W7R70U2sZeTZ`t|075-jUnfEDyekJ(|0_mEpPx
zamUa{p)J3)E^D_^gsCZ&(l{9vpd|4x|49;o22M`Xl^;sLTc-7@EJg*Yf>*Sh&x(P)
zmu#T+Z53ElJItCYsS2f^50XYMO2F!W&0%pT)j*||Bv&_}3i7|cvCULU!7aYm>OY({
zpbQgyn)Y1{7E~81l_X_>(tI-FqMIh%+Wzz|hqMNq5|pmZbdZN&w~ycP04+$Rc09b5
zM}YC%`;B(R3ZN6b-{(Ri86Mas7Pf~I;j6GKB#J9R%CPF$!A@-$hUy!WPf1W>zv^0)
zrVQ)sxAXJAQQ$J8G{@3bj>?AYf4q`b1;SnKM2$8oJU+bBreBr{6;?wF_C;z?+f^*^
zEsqAn<2|neKGI-iy2aDYPy?jGPDErm>Oj*|F=Nj1Ee;Qt$q=X^z>&SYL1#bcfMny^
z&!4sW@UU(Xt&xa8<CN&JWYYzQ-DkhXEE&SyKgMqiqqN|10_BzToDMuy>af^hVFCx4
zUdFOMAOXRXX#eDj4yc@~42VuQ14?N3wo}*1u)m|^O<y$)O!&qm@A(6G#>7?1OKC$h
zao4QkZ7T3(8giRQo5PgF{ofK+TfAcz)Zr>if!Mxr$FdMQ2z#0goZhYtD>J>iSF1>H
zN8#61>75pU=H?&l5z~g488!L!Rsx*s?}+&G%K{$0yAdrCLWcHVCvv>ARUzl%-Ph0E
zEaB1&gSmkp365wozxDD`1nF%#1wI*;(25R}eG$@vNsZ9zkBQR2X#45D>my5${F!&K
zEmRZUm_*3RcL{@6ir%ZdtCo;f>aO>zL<7Q~T(H-B%ms9>#1q8rme9d9<^82b4MGln
zmZQA?hq(}Z@VXHTIQ0A2%Y{l6sJOo8q~O#r*7*GXX_~(Ui0uy%y8T!QMsizn6@K*L
zJF|28vwzV+UH8QspZf|>HTa_c=;8v-b45=@>Ifa48XV)4qRYW}Jv_gdv5AMhDw#gp
zZVvCC%Y_=AmI9kW^5oGbW>j=ele)vg9Oma!7;Lt3$UT{3Z<)u6PE?&*5Ud2iDf`yn
zo)CuDA?`)4sqCnRG2?R}1>i03{>UXu0ob2~4!1UQAk7DzL1{-Y&{^2cr}mZ`T7soY
zn1eV`vbn{z%@bxYr4fBBFp>>^6>XofDdR+N;-G}#1yhjaJG{61B@+yirEc~;<U}>0
zPDh6Co4}iEmwjm+8`%1_-i9N7oQPlHYWCq)V=(iVv3w-Fh_TFK($_^f(UDi1&9e-~
z5Z>M^o@O(J?OHy_I`*6cJql}X?ZAwn?_2&UhIa$lKklb9b_Y063P+^r&R9dJ>>W}G
zB)r8eD_pccZsR~d#GRWTeKCOFfy^hT66$fbq$G2W26l89KJVPGWdPx$p2~{ieR#AN
zeV{&@9qCCHOLoNTgLQ~0kAu({&f}$&x9<)+>gC$^^2u*K;PJ3Of8J#p*Aah`K3mR?
zE?x6Ho$Ra!=U(?<rx@n&R>WJtFw2f=MF&dBO}fxl@a}Afz#<-V&t&wV0|$Edbz<KE
zQ(dqvAyB4%FXQ6wCQ$*s9O#$tL&pA>IuKy{MS+&ThVR(JLX1k_MCH#5hYIv{AZrKF
zSHtu#ZtpaEwAh;qxjTfF7jES#iR{V~P``<Lo^a}vILVFj19TPpt!Q9cc;9+Pfe|Sx
zXKymz<w2tl<nP;kp~97ulOJ~<WkM5o2gYlcd65re-dUlORG=JU`kL{G8P&$WqXn7s
zBXb{K>s>5VxY=bF@O^O`B3zSm5S9}_H3J+|Di0`dyIZ*7r#&ljaCQi(6A?uI+P~v|
z*ifKvI@-gdnhlv9HDXIu6++!T?D9=Z+OTcP#^94N2V&R24nKDgMmj3<j>d)B@Hp`s
zmfgXL-lVu>ow_T6cDOxGFFvXbNl`PH#$|3q8tr4`WfDV4?jiT`m9$}ZNnUEXBQIJy
z-gI+1RvaBWAfg}NO@`+0L&ipm{AkU7Z?r2(66w9W6p<c52L7pNgI1ydGPg=PnY1K@
zTs+B@1YI)J3_Hk(>=HzHjnChtK^b)SFU^F`M26s~XVxi^Lg=c%rPtE4a!4+{RaI@v
z%Piy~Vso2>k(AauHY))IwETT<PS6+$&J1UXTqB4g(e+DKdrTBj@SiU+0?cGEDOV>S
zejtW=_GOypg(#t!-JcI`2Quil{(CfUD1puxyGLU0l+jqIfLu-v8Inq(n488WQOZb_
z+kf(^X!gd6N|cB;6i=SX_*Ev2JktM7_r|IrOUJ=_qX2ElWxtj1JxvyMhSq-CSXM{E
z%kEBMTY#?hU9E{`Esv@vdxq@&2uLZa=B!Ep1%8SO$r$ZbK#c+3$C(E-(K7mHWiLSm
z3mHG2KgSeNg{@e3m$epJdX6>e|DeLL6dIpqq!Qw1CZA!?At9c48CHe{8hml>3u4bw
zMk2m@Qcip)qig(c8%0}n;N?{t!dSHmn(2o`!~e9=@7?D{|NPbk-8Ep}*R6^S+i%ym
zPiQ03VA(_qSs#*|^a4ev)lg~E9d2eL3No8&J$5+W0Q`eiO7-W|(JujY-_R{@RWBo{
zqE$m+9VfgY4r!qDxCg<pM<|G!=7<}gHwGI%k8Zvf1oR^5U{xWJg8bqmKL)Isz}t8h
z${%k{WFFUCsqju4d1M|qdgDJcu%;YQHu|lJx@=$F3e?a>QO|lW4ozU-bnmx{v=tHQ
zu)HVxy(FRk9z?T|vjL8X;YS&KiAaB?HTp^|5h?Hwvu`&vhesUSIe+aZqDNz?C&w-j
zka_HEK>llUNKXlQU(ZEEx(r4=M_ANR!HH`OZAx4F^+om0g*Z(#x9P=s+D8SA?M^<N
z;7^Cxo)$m;P6Bd&A?FoXt%$(p8A0tH9a5?sub541puK#aKj$U3-t(#=-}X{ED3cDJ
z+|#d)yv$06DXLP4mE+0ZhDUUGw_@a!_CyW6jyTS|ep(cL3MDp&$I`)R@MPusQB@>O
z%vID;5k#E_y4ycE(811&IWvV-1>pzJ<2OsVkpxGt<#8T52>oWLk<L~^2l7?k#EG#Y
zGkyE)saNLkx_+^<MNbh;HHK98US>cUD%n44+|40ocvWfXlRSz&<dd-d>oRUD@-nM$
z9YE6kmM81DEE1FW^qu3(EUvFf)ND-yX!Ldoe`GC<+^kz$)Z9n$s!K(NX_^4vf6Jqr
zEfQP3aD{*5SU0{A=n{125(ankr*^*%5<>zBlg>_4&A3ZTev4(98L$&+_YYW#AOn99
z7vsuuT<(Nm!M8zExX~U_XlO2k7^D-s*^YZ*&P-~|A)=;`e{}iN#t8v5+RLeAi*m4f
zTD?z?oeAi5S@&NJ=R*PCid)+(v#~>dE?GWF#!$=h!E)?BZiG_v4YG>%V<n<tk$XCf
zfaCFeVr3Ht+T&Mu!J@hl=V_Q@PnR-+6{Et+@1AT(dNW>Y)Sw2ZXKG7p`x?TrP@^-?
zcCsKVeqzdzea*OdOHtD58w2QR@~UzOVn$Em9R1$!@4zKq#M!lq8USOMS2f<vi00^O
z90GpdaQ^q<Sm;@OV4Icm<qKm#@rMRzb#48417XCe_lq9nEDZf+%ln7>IuunLE+4{m
zdifIHnd-slsu#ay*#_RY(Kv~3?U+Jk#gbs5E_gDt+C_@5<8Mp*Vvog6;9n=s(R0Lg
z;ekGLvRL~nUfVw<@{W5Nw}1I>YHxxL@E6A4qjas{>XG#yki#sld^FFDbDIuCu{wrT
zNUh+PF35igBh2ACvv+i!U7&$q_Vv*{xy!grQs?Upz6E^u2_YZDO)9iXy5Bu>Y#CQM
zb!mPF>k@u8m%fq^O$Em4us!=+m+`&MBcw6@75wq2a#{`t6^cK<qxQxu;}tKgvO8&O
zxOEC8=5!hbI5U5K$s1nA_l(~xI(udVPduG4{#%g(79Vsv=KWXjUB}pn$zA{O7t#4M
z3eUCS&z<bDXM|PU%h9i1se}Pls0lf7?a~Iqr@Fx7LTmWk>oY<8>`aL3S7)<NGZ{Ru
zuD#YGtm8|fDubJ$%&0!)=FxrI$nbVSmA%Y=1LsVNGZo`xLE%0!L##VUpq5E5*Bbqc
zAAC9yQdY@|-j_d>txC}Xh4T?iz6qOnsPv@o(Rg;G*={xVVuT2)6AIUQo-v?O7w6&C
zXigO6c#+owh)^>*`*yCH5gChwS;Rc#Mj<*~;*<xPpcJ@aM;vBCu~YXI_OJ4y<G}(K
z-w0_!a+bkxi261}*Id@x!1+=4Y|@9C1Oi<CW%!djnFXEoc=;<+P7odVT5(ZCfB@e5
zmTm45Y{;#leU<N?5Q@9hzx*jj1NcKTN>p0d5l{Po@r<bm8qhp^NFOwyiF|ute?BMb
zIVt*lm{ANZcYVh{Osm5~skK^#B5q{8Yvk0ODRCqKmexMS>cG$24-<pD=z_!z$r1)B
zBz!6Fx@x34)Y__UNI&F9iMui8J0ODs-q=i~da1+g)Xd`dB>^<^lyoG%L=OF(a<_S~
zbsiaPLgn)kLSL>vV3Su>Kvq%HVr>`IA<M%>A#zR_tv{jWdM7HP((9~hj5X?DX#DJG
zZ?-5pJ0t9@!J~}s2<FRtkkx?P?-r)Hf#S%s%*VMSUj=b}-$!>S)PSMbu-_|Ql89^R
z+^63TYAE_TXD)VZ%Nx#0Bwme_Mjz`^>!yV@kljVoD{T&%5D=Pjbk}QHWW0Kg{&|dm
zM$Vt-N{b}Is0MFzL83gmox7GgTSr9Uj2FufPiukv`Ak`p4+^LOzv&RZwVOUH|8;ge
zAj1L6Lec9oN~p@+u8L@)jSi)b-C6mv<ue?~YZD>L===71OJ5lZx<24lWV*#&#N9qu
z!unLuT4UFI^ArWi?iEhvJ4}NmM(bWv3pLa^Rodl|Lq&Ttc4(T9=)mU?-KcL5)zOH>
z-n+IG8cN>D-f;JZ9*j8L@yy)RK!)*GQWbB|P(^uE{UI*{ka6gC&9u}+DPl<)rByWa
z<=E-eu6;(Zyr28+uaiWyzvo=w*gYDmJfB@k+HV4Zd9fxOC$*4V&-kHvBO2Pr@Y6ou
z)eLkz<;u_LlhDPPY^r-a71>|%w~ZwL@bJ99>fcC0x1Jp2TuP)Mr*-5KDsB!(<E2j`
zK{6ukT+ejbrHzzJ>&*WBHix{b`Zt$^$Y|Fnqx0Y$EtK>2<+B|R=};d}DQ;{aA<m%5
zOD=Q*VxJx4*Eg_$@vJlQ(?k+#FphV)UapGntonq^XInr!-%?=3PAz07Ku8niQ$qg(
z009606qk2A)!!e-uN5iTviG>|y}0hR*XPYGGeVR~G9n{NrKCb6MJggAloX;=>YEXL
zPF6-%Dl;-l*()XE{`~%ZKhEPk&ig#hc|TuI{TUu@{XqsO8H$k?6ey@be1?<0B#kDn
zwQRFnWI%v9H!HK2gdTj^jNc%Mq8CvVf!q-Wl&hb+{X<t3(Ki3~-aWyOMpTsV8<jBN
zI<NSNJ6BbZ(J@k#O9>a^t4w!b^<jVqDQkeUMhV63Jp1;B$U1Jk<Km<U2Ln3)+ca`>
zUI7(ET2T4(Ch!H4eCO^IGjM*z6MIlj9({{_C@3^~5BL7G?A0Y<208ZjW0Eei$V^Cl
zG+lobJ8BUB`Cq0flx2kPYciBVC*zU?OKj&cBCA}1q@*d_b<fc=pA|#Abpwrej{e0s
zozCoicNf4|(LW{hvj~cc@mw@RtC$OpmlsI^7?ID=f@THLmrNaI#$zV-%Qhg7V2(li
z^9wD#41V;j-cU%VlmOxGeg{6fm;fzDI$~1}51QK4dh!U71=`tMrjMOAhFSmm91HSh
zM8CT$q<RMn^lOJrFQgeko@viQhCByyJ#)EHSCIvdF}9`a*Bipr!(VTLF0r5&k1Z@B
zdkJu2NHKqK#Q?&tRt9W~TE%e-yY_o$3GkFB`Ad+#0W`jd>mPWzgmY(xaC&eNAa^Tq
z%_m$R`~$mE@~+O|Px+n1^3<5vSv4*%t0q0@67sq#JoF3aN*AdNcV5SggDfVqCG{Zc
zQ~7*L=@2fUpj1XoUc+vLtU9io)`iP^vXYKWf5L}@tY}x}SFyqLm4Nk+I$$lTlk#*k
z!tb^X_sgDL#hA01R3{xBs2x-?pA&zAY0Jk-zf#^<?<gbqDq9<91KFgO@@DLiERTN<
z`zrSRaQ^b(7HzoGf3U7Zrwcox8D;GtxQflbxGI@@Q42h};>_482eAU@Z^hA0t5~|i
zm#OvzI+TfWc3L!zU_s^BXkz0kRz&rd-4R5G6X#=f+)s{Sj}<H~JUq3Ao$eg&`8r91
z;d!sIe?P{tw2O5LgL~Go=i}2tF~?~@*clZRpgWD7*P5hW4q#$798OxwOPVmsC%WfX
z*(`QxJ-mX;jQ}RJ==zdKO^EObY<%c2k0m_c_OVET1#~9*&&u&?f{kmB$fn5!%q4KT
zw4Rd{SlSY3K{-_5OV@bSk?<Si4v@X~YzrGW7vBuX(4|7+i0tnxMt`seyDTNvsqBDu
z6ATaLYJlvqz3Hdc{$eZUM^bN{;{ZkL{2u{>>L3_jdAk1dKTI^+X5!Y^CV12QZda0m
zI?%#KBy*ZpG4CrJDxnv-AmeJ1>Xs8~K$(zCAP%i#cibG3_)WNBOYtK$l{yMg%PL%~
zZxZ0Nb8O88%2r_LywtH%pa6yT&0VIJ1>7SS6V-QZ1JSmBs%-IO$X3l&?BZtwlGzK>
zP<uWwxGH+(=PC)}v}_z5&$C0<y#qqWQ~BZZT0m{xIT9$1nmOKP+XT_w@}D%;1mHhG
zo!kUg61-27n0xn>6LvLL>GNF{0<p|5C%n^Cp?Y2?QSIVp2n}xck5m_d=S<GPr$(xv
zAYgdLHe?Iz59@IvFt@|C6){`xIU=aH(9_<g^T0VHt!sRL#h^Ro+tBe+B78cShnY<C
z0)yndQ%X`2ZfPB>rz8=9WU$H5-jE-(&Wmt)21<i=V|&k1G!b51J`wMJR{-#5z9U0t
zWI<Zrf%orCB1pSbv+9Zof&HuWy4`JZki1{6qqm$09J6~5KYT3=O&#B3c7g(g<`>s|
z;!uSWwwtMTA=`mcchfVfQ4tO(Ey)*$ssg63UYW923|fvm7IXP4gLRE7y=FTJe7!`4
zgAYo;tCYFp!!ksW@$7P3{Yio+$G=!IE=xgQRvdf(m@0S_r7M@slflz2=-$J28Mv+B
zqpwp%hFs$z^9P1%pjBuYnJ6O%XM3-Q?nzgJ?>5xF<4x)?{&J_v1s{3XQ$JMUb4mkD
zrIgaE9H}sH;!{z7g#tYJ^)h<<eJYgFg1998Hr}nq#ra4vCFq_$k~kKs3BTe*E|?V3
zz$))!g+RD6*gWrJn=quoeeB!u4iPQ56s9=#XIKS{JWd%k4AP)D=|pw)Q*EHLoE9}R
zRfUEe6*ad5bg;c`>rxe<3mK;dLtft^fs~-Y5tke~a24EYDzVmw9U=~`OYg~$KXT#?
zvycvh_xQeCH#G#e=$Nw3ehNGjZD}z+PKVbK%v*{(jG?Yzhi-GN8kj!l*irtI1{Qe=
z$#)qT6egUDdLE(<Xl3vHZ^AT4kMLDYP6eouO1^jEhdKyb)=fQKrh=VHO?yF@DQG<t
zHy_~DfC|w$?XS8Tu*gOTs4_Ey@|Y_>eW%nRZ2a!)FZ>kXZ$EXe`llJ3py~$XTvUe)
z<8{xj`$P!k^-#_}%77aC{)*GpYS2%)G#$vL1j<!^N*`4+z-d${jPD%<%zgQ09v_nf
z{!C_j^%w)LiW>)oTp|NsN=ZuCR|%jr%2dJx1MbUZ^fdC2V9KYdDAP$8_!%lM9hw<X
zj1MHm1`{EG$411tZ5#M@wv_rMFu)Os+dnK*h76WJ{C@82FqS);c1w3-pDX)vTc;Hv
zE_-mw^ZOFkITBXzzRe8UxPN`_kXC>b>WSCP`MzOmZ8jV!2hAY0ze_^ZQ4XG;cDJ@6
zwBy~I?mwy+GzHDpoGq8-WWc^_+o<>WIR3^qYh2jf6!2LA)%JH1U?ta(Czrp7yMoqA
z_8`Cv)z<a?4N*wE%;B{-zKq9n3-7+@4sc}gGvV|NVK_44|L0or8ZO3MH`(2Qfz)tl
zyiuJ1Se|0;+&$04_1H5FdAm$N>gNv2IxRl%KRj!7^brB|D`h><n>L2R*jH}46<c8F
zzXGifQv{@(>3@Q{%@|&53q2b?#|h^3O4yA_0=gW1XL3Qu2%0VOxyEwYfThf@BcYUl
z#z}3nCccKCAZ@))p%K92=cs3yI{}%pA0!v#7(k+!<5LI2f7p=JjS|)=CSGQ6faSko
zefYVuuQjr25o4G)Pvcxny!5%`=N}|}*mBeILE!5dY|KA=IZ=5X*G+JDsyU|zvVq=Q
zmp6}LX-=2Ijh)u;ywErFo>pC$OJZ9i6%Am_&bSOx<|@8^XkSRRsxD|IFzNRH+OZza
zhz7w;8}+wo!b)*EF!|P^CP4lr=Kix>J~MR%zjc1Ps$@nRtY7-=u{~FY+Z}ja+v>D}
zCx|yps~pgVR_{Om_Izo>Q8R1qHCVwb57DNq8?}JP!$x$tsT-GRy5{=Dbp_`<lkjNV
zNDIWB>+AzgeZz@0k0R(rD|q7X=$x;w=)fYC)_aaNiu1&0rM6R6anq9;@+_Kk5EWZo
z{P%JU58!E#$A?$(!r~V`dM{{D(mk)&%Q=CcSlho(ymbwKeBMC*m^KX-oxhHi8BOD9
zUkg1{X4moC>6hf<sx-k<@Abbe&u8&xTa)W`l?aHoH$XbZN)rmbK3bS!^Z2nxI*tA_
z1eCS52RZdnAt#Srp}%7R_hOb_?d)PfFSGx=|9y-Kop(v%0fE2qj#JxXKM%5^xa2QB
z{_IqETETq;+x`bX6|1s!`(}1T$hN-{f@y%brpQdhr@uI>Zu_n)&K!uZ`L^@K#(yTS
zN5mQy{=-KPmA4#vzX|zOiOqX%%om6DAkMI?RebW`YXPDM7fLLC=qE0y230p4uIzfb
zj+@@4Bv&hOqlR09eO~?)P-|#13JN8ly3*0^!=hVJbWC?`K@%B_Vj{aMpRynW_Q6wE
zjkY2B4#$Z=Eiy#)6~^pYWko(tnZRSihrWw;Y<4Li!P}Q}p9PMxBZ~{+S96p3(ec^i
zHkv9V@X=J%V9s(NlL%*5^EClvuy+6T%nMamKUM6qBa0JNRgcK-ixooG2dwT@TB(9n
z<m*J;<D1cu8a*CIZ4q?kn3&Gm3=zb&)$x7)Tac{zcJG?aqNr!(kC|&85n^xulCVkQ
zL4CwW5_+8C$f~+`^XDKUoKBg_>lx=o2HNbAM5-ieisLiIZHVwh$)|A6kRL^ezO?MS
zB8^hl9eVpPBDA=5c@<;}paybZ<h?7hXmH9|#nX-m!%o%F;W9!<|Hql8gTr!Y=UIWo
zt>=l5)YYSDgM^X!@c#d%_bQ+)(cgIrO+=W~W1&<;ZAWsJKN^Kc6_L)5z85i|3MWkN
za!`H6kb-&E{+6rCsGaejM!|?Gl*`!!<^@ZjdHp@9f(#-O7d@PRvz!F2LpBg`PYP8&
z^YF{zC82q*SE}U=Wbla~hS<)@pl<53u#8`1bT+&3+01q|5Nh*#+eni`f_{Fx^qSNV
z`3dRfrebwy95^@p=7KzWg@>4(Ezm&UTq4HHEU8eZd8bS7lLA^75<2NyNkw^fUEF<M
znxMQU)wiszggEYdHeb7=iQa0oE;?`U^g_IYeL|Kpiet!U>Kve<=s2&VA0)M)QSQi7
z9S$P$FH8CUZH<PE%A}-)DzsteCa<6YZ&lPJEz(LqOGo=dBcM237p~5g(IiSqXrZT!
zyZ8+qu`i8k>^`CowCmSH4$Y8J<FJ21*gHCEKF<|%%fk>jV;k@7WLHDA=2z}qh@>Nj
z;!{qOe#YP&L~c`=P(vdcY;mU+XsDLxby+$HgR^!10p;oHD1Fd$VY3(w?JDJt3oi!f
zIC9apZ<7Wpr4<RLEmD!5s1J)rk|`jO><&M&25NXG`|G`=2I9NcxZCl78AywrzxA6{
z19|+q)^+9w8F?!^I-4=g;6bj)E%WQ@sNt}w^amdz+N1wWU+n?|Qp4{HBsHp`L{{hP
zs@009c5#ZB)XIRyw!x)+h=N@7gLOz!a%e(-n|;#K1_#>~3MNCzNHi_9K8PlPY%}Pi
z|83N7ethm;v!;q>MR312xkAX#c2wT4lL0Nhi=8P4h$vaO|IV*tJZSo&WR86j1BR=m
zvajA%MwQKncAIWuL!AfgVp8=P;D0HJaP)&Biq2K$D6?C{_q5g6I&JV&!Pupa^RGOj
zjtqyGxP8IxwuYP(-fsq$VTRlzDspIir-}i$SPypJiKcwF&lDP=T<!ULX>>uHWK5Es
z!MsB+i&q>l1tp5joZb-$<P_9oejsfLyLEi7`%n+Sw-BqtDe9uAXhub3^1l`A$QHBm
zd;0+#=dT>wswRwZzu&pl#!Sp@!bGT}9D_SYv###*5<pEeL$`u(0?fqpJS8=lKuWC<
zRXmRu(K~Ff{5#A7)p5Twv<8hq7WMuT`pb>J?@2Ob++zW5&Cac6Oe4@`oDF<hz6k|q
zxsg3mS)hWo&B%;s1cFvNON-xG(X`OnuFY;NaN024{KtMn&<!m!qD-yh@sITkR@hl!
zyGP(i<!uAFx+Y_l+wd1R|E=nIE`tEJ-KT4Ie%6Oge_8eF?H2Hb<-`+hssvbio4IdY
zN*|n0nSa9uC-E(gi!yi4GBF-r$=7~?dXW5PfqGMC6yMLACv>oQ9c$*fMG&sh1y9ot
z)bCt9cm<o}V_DX9Y_PE2H(gp6^!S@+a-Y=W=7FJd=fc*o^Kr+XWJc(K{nr!RmkwRW
znkmJslagy#K?m=n_V3!@%l~O7@!5OqUyf$q>8Vw0??Bmsd3$YGR?1C#T=p3=pCb88
zO|N2bO>?9HX+gCA*r(u^1DNG-_ycc+HB3?HjIpA&7O-+8K5Pgb!7Q(gcptmIhCSXg
zx3m8#9TMX6cHY}HhADa5H&~O`u^$q9I@?HekUI77QuT(1nuYquYq2n~XL2{#MvG_=
zPq3M?+&7I)u<@0YauUFrJM0acCJiS0d1^0xnZ-tO!;Y305uonXvWrZGCXgLzUZ29|
zvCiD@Q;~rzu%+t29g2k}Xuo*>hbg^?d68}l$l9@jeL-fHayJ#+VvnqFH2%iKbMr%o
z?AT!I?Q!dEfmC>DppcOf{s$YUxINq*%npAnva-iHsF1sz*`&8~8Ed^D-fB?F0WUVU
zqokc0a6z*yQd@onQ_i?lQYFs`3Py2L5wYr!WU1QMA-;y$mv~<=ea!`h9TC&r9cnNe
zWM{rhi-~y(pytTa+`zh&JTaxH2GtR3`hUv_u(w6%-8J{EAVMwER=z|5?B4S&w`W)&
zxlru$+l$*^2SHwteT)otX(Q6OF&osp|HeCUln-Vyia>QA8Fp(|UOAl44(Bx37y(cD
z;gtLy%=IG)<UT00oYB|>vc`d2*Z2j&HF`Sc#(ommnwb`pdN`rs_<h|QcZ9&@uzK;x
zlqwKJO`YrWH^a_b56A;1B9MRC{dxH<RjBFPR$P(21*mb^JQG_*;dX_mehEVr#2F$+
zneTW&xi#d8GMhNaZtK}z#ia^+b&S4l<L2AQ)q%IC6eQtxAt_H`m<W-7o2=Pv`GL;4
ztI0oD8tM+1&nJH*g0PS%S5lF{hCfPZly7+GK7%<m+E*f=cTVl;Dnd}GveUfagB+}P
z-F%p_;hPT(xsD813&XA-tas}S6aW`-;#}IT3JZ}Z)wm+I!*^DX%toZR;gP+&SCA?k
zzbkp(<B%9k-CS>aaYz|NV$Q#vJ4Aw2p10EdZW5rEzT?^zULtJm^++zDkRh&&YWp!-
z3LfR<TW#;$xR>W0@*Z>wtPKqJe{Pn6#X|Lz;#@NH*~M2p3RMG62I+m7xEz#8#$S9F
zrUpZYj1)Q9G{9c)bo8v7JnRm+uq|h|20(n{AJ>ii7FizH>;7B;n%nv0Gvldn+b+80
zN`xj{KKU*7+ZHAGIU?LY@1Y6()fYB@t=!0&Z-hUn1S-S%op8Qdo(Al$i8ol4v>?an
zaM_Di71(Ltdv>sv2475bKaRfE2Co*ob5B%N;bTzo16LC|Or1+`Hax!Jp)zy|%NY`k
zCrs^<h@pciN61$pOMP$>;E}#iNQTDpN`X5!=^!&&%!t?fKQ|>hC95cKZ)~cn-<b}1
zYA-7*w2WbEOo2&at{Mm)YIQF7NQ13kmC$x|3`()Vx$Zsc;PChD12=XWSlj%R5RU_R
za&pX{y-pqUt%!vkQ`C*~{@MN4-xNx2#C~3xQHS}dM>c$F8ZhB({@|jf8N3Wi6{oeU
z!_qY4ewPphc&<Gmy!>JY0^?&9Dn~Zz>mEbTUl1YRxb|&~GXth|O$_p$ssRlhjM=NK
z1hGvVgIEy*N<WO)7QCQ<aR7&m!W}tieQkB@Sr-EmB+hiso!#hn^RA4W3`r3F{pI%G
zeg@F=x(a={Nw7~)yw1K+7;<bek{r$e5f6rd)oCK|-5iClA9$f7q_sFWngN}`dQ8W6
z$}s7MWFGo)z&<}=wGSE$;2GTN$-SlsUPDTDJ%nZKpMGnvP?H%<de-?!(i9+9Gcz;L
zY!oXvBx3h=pBY?F2|qsXCkNjI9!H%K$MHGeKf@7UO`%8UxAhMf8Th$yUNLLx2W~t~
ze?>oR3QcPtxVxDW;9~vY=A$?BczE39f1Mj1>TWf!uKiIIa@ZG5O$Gnr3IA~yCU^j#
zRZh3mFT&v89hSe^wt`0`3}3Bk#vmhy^%?KRTzLNZWGoe1$F*YAUj+A=09SNdNPILO
zxSq&=`z()%vt`yw?_4m3Pqec3)2>_LU}5LC7C8c16m)%1C}<3VLiy4IGF%X<`FEG_
zhSylP`=2Z_G6Ekxa_#soc6iJ2_z~9+CcZsWY7bA4Aq3vmGko)v0BGGVN63(g3;Sfx
z1mzomR$$oui90J;ZAeXkh0i)Jy;3@J@aKka8gfhRms-MxMrhFm;cIx}z}$rcRDE!l
z<Q_hV&0%gSeyfIeR`EmD>g@~RdK<Zg*}J9h7e=YG<{7M5!LOp<%H^FKxshkj(GbmH
z?8GI%ex5)7aDI`OhUV(J@HWFbxVG^NR?l7AearD5j%g-|o88cXN4@XVnLc&cYnPWS
z0-eivBq3(OZ9y9d0;UogS$l9orDyrw3(L5{53_^&4{5^!*-6FeYz;0EzI6|q<1#L{
z*lPKwSqt*3(xL@|KjI&Git9|BmvL50R#r|-3$_=u1wMA|#Z_M$OjO1$<L6$HMBHA}
zVYi>e@$rstxTs}da`gBze&WHA(C!TnO;RRp^VS;0nF|-Lg@^yc4+LDS-nZeQe6bF}
z{@!EwNSg8fv>hvW@Y3VlYAqU&b{kYUo*Ku)-+jFI)p!*jY&AO1Ua1LhedNgw0aN(4
zcS|~{0c-e!3~p(j4Q^s8r`lR6vv^0fd&1$ib$n8`v9|p)6&^d=541j<!*d4PMKiPs
zh%aihyrnM{yswx(+N7|6&-<Rzt(Ij$wLXC+L#rC#u4j>%^kfk~QE;^@o5YHmI~1bQ
zsT%No(?p`X`4Z0Y!Cz#;i4A$=HTX9MsDsO$_o=48|KN_NZcvJH*pUa%yx5ImHIPhd
z;$Nv+#=pm-RI1=6<nz96m*6r5a{h}Q-TP<-Hz*3ImwLj960KD4rPxpaf5&`Fd%lKi
zB^m4bZTKJe!)hDvJTm;mI?mo0VdA(@+}L6FEy$lm<@~SBWDu)#c)d%W1uZ#VZ^?_|
zK{{uubRTZa$CkU2o`;XIB6GH|zXrX$$S&!NwC)BU^^V@w=>Eut=JK<LOSSnCm2c&j
zZ;&c5qTULYxp1Jb#yQlGECCdu%RNP2Ap%LX@DZ7X6LA#kH-1pw@W1P&j~*oxL1)+X
z!wGF%X!K@@meVI;<R)l#M%Rc4_ipVF@_EmVmL0e8{#URasT(_IUtIu8K(xP5fy>-$
zYyp#7(F#NTcy^u`(r^0jY+|JfoLpe}5NgJY{6!yoK5v&mzPBEJ&reqYhq+7QbwBu!
zIe&e_VO42#BPjpf^#m0NIG5k{$x;BlewB*(?w3UhdHZ_K-Bkh78iofp3ZiX(if<iC
z<xsc;AdUAbz+BWMMEVOO%i?w6K6M4eq>P!f3KJo`%D3Z_+IFPTY%c#3S443pmp=?$
zBZB1mCy@mqF|_dH+na1ZW%Rko<C7a%70Q@@9<RtsAh$o>2}BYRRV7DRJY=fElM{ss
z7aXOKnseTNe(S2pG0P^)i-!y`zNM==k7ZDeR?G3HLu8aPFh2a`AO##=C+p1e%ORaF
z1N2=jYUn_7#hIeH4R2K|G5C2{9^DuC$?aICfzIn~eu90`fRNp({Cg`E&`QD{*|cUV
zS}~AjE9KOLzBh^19EwWl(8q;Kbx$=>iJ;EyHhUTnkzdV?BxMxOS&$_eMngS~Nx?4f
z=^%KxHd%|6i1?`MuNsu;$U|sABG_LW?%UR8wFIc5G&SCK-p6$0lH;4ut)mM8FKb+z
z>Pg7TNi1sWHyvf4W1sR>)`tLdfqjQIQ_$>t7qvN7E!08b7p~MW1XrH9o;IQy8apej
zz4tvGQB!O~#LbN%V~7yTDXxxWzl)_97}JrDF6I2E{TRF{Wl7WjsEz_MLIdkOX{f?`
zcTB<)fE0JDrneRv$T~T@fyGc0RS)NB7p86S;!%D0>`4s-MMq1$GBuEj0N04OuNiP!
zJ(!=d(?EtP#=XOi6m+9n)W%qd0SDTSH0boIBU6m&%XmXXGB%F!AMP-KzRb4oi-<bX
z<4~epTTw*M{JahKOfjHWC9u?mTMZpF{urlVAcrD%nAG=f-vJVKdgB&VWYm&BQhP~D
z0u5VO+pmc3fEre<XU7dlh>v&aO;@lGy5}|0?C_fbO7*)8mJ^8R<*}tyr>9%drCdFh
z#u5eum!!r-)heSMhrYX>TxLPpG)s%VeGKrinpd<NS47vzPJb-Q=kTHPzBZHNW*hnA
z{jY3p1=LSg%np#M!&Mz(23ms6piVsjS!l?i9m<LAPgjSr%HEEMkU3M}zD-a4ilouQ
zY^KnTrFo1wU@I^XXbSO8)@6S!C6KTnk2jCRKdf8gujiI=fT4PiTYCwjh@F(IFmA!b
zE=7^9Dfj|h4m2=3JSBwgsC;Jq=FbAYYy!>7ofz!6=py_{Pyjvrpet}Xo)sQg4;vmE
zFahs_S6L&+x1o{P`yzoPHVEugxVt!S4EC2q&06KT5uy1y&%L8;FcZa;XXiJDfwo>b
z*A@<Rx_)cy-$QH=GH=mvPR|H<(;rlhkFp@SoZpmo1vV(Y7h1XGYX||6Hovm!R`H@=
zX<H9Av%+4hMx~V;1Gs%*|Mk)ECH!btJd^Il3J$Rz|CWdKVc`Z#-0APL`0zDDuJ21M
zkTmAG>`mU_Z<Y6;cgGn1hbdOzcXOk!N!R%DFg+kAm#ce!`-*2-%ZEIov%scTA34vr
z>w;I>Om~>%2mF)K%<m6B3Gl`__PPm07a}KLxaRG5z%0T@=TQj(JTu2E^AdF6Kg*@t
z!NHA~&~B;R{mC1?JV74vSk#7ItCh?v(%qQ&fm0<<ZW2H)>-zyUcWtPt+?L#6Fob#4
z6v<(E1h`X)545#w!A=G_*mvnWR%rL)y;ctaY_4CA5I5I?_8~jFx_#pqrt;(8X;l_r
zJhN69!#6l<e|@Ot<TN(V;r63p!}n7K-(+py$jko&0096043~E}m46t<?Y%eI+c^iv
zaqRIv4yExEO4*|*tFjd$60(WXKxLMZNFnjQC@Cc)J6lr79!328|GmD~b6?lzx$pbo
z=j@N^CoCiMH-4zD$<lyCcsuQFj0A~-SDc=6tRg3+>t@@!Xn-kHMc3Sv1QbF0saG>=
zNM(e;Bdv$Dpz&|HQNLRa0#jA5DZSZ1$XXj_4k>iNsr0YR?u;6IWcXsxb$bhWY&l$d
z^ASC$`o?UPtr1~zq?SP_^e=L@D?Q-9eg@F0b(%IzB0}v=O$l+I9i+BsdL)d@1W;sB
zDWgaP|Ie+jIzo4m*mAyH@@r-wXV~*Drl~@W)79b-ODYH~q7RwyVufF^u?|f`DnNA3
zp34iShW1O1m-UaZ!}_vemz0VM%oR43U==iw_oeNYxeX_r^>4eAlBf((H3pY!_h^B%
zG1Xf4nG4ur$5IPc36LEzdNab49@-CDn98&AfFbYWgR<@f$Qb;ke_)9LGNN{-&Yb6k
zH@X#%HfQj#@bbaoiaSg&<U8~vVuBB%P5(q|2jU^*QqzfG7Z#{hsgEp(5CF4mx6|5O
zcvvKrq`tRcgEn*2nE`~rg#S?F%{MscjC3C2_2z)KvsT(Y3L<b5j`h%n;Xu44$K2PJ
z3+Cx-Q>3&-!O1r7&43vWF0bb}jos!3>ckeKum0jt;gq|Zp@oC_pho%Jc^)Wr`t4hP
zK@#kB%dg_~_TQTc(s(%YfsqTxx42hQpm)~Mk;wrEWTjm5(M5i+k}Gdq5s-n#!`$aM
zb8&ER(9107p&;y@Sa*GpEDO*5+U5%B@eo_nDq`;=3`wOATYQD(f%WS<<;pBPMBi*1
zwRSlG6}_i=uhuGn`mNrTBwGSB=6{wc@)rXS@urqycO|%Sg0XDfLKz;tnyGCrlz@jJ
zO_71pc=+=D+p&pg75H10y(zpS332(We6J@7V7?ORW3;6TRF?h01?tjJ_O{}I^CJ~F
z`hF(&>mU(ubusrnFUvr9mX64+eQxj-Ssb1tYH$~EQT2H%3*YFqSz({QMC)FQ2qtxK
zDc!YrB_IzgCtuI@m#V?uJ3zDS$*|)z_)*eR0ZIodT6YhTfc^Tp=g)dIfZTEWqw7mW
z*mzaL_3RA^cAj)=H3w)xK4+sk=i0uW;~NQ;wCce8k8#PLr~`F!I?|P*c<Aq%Otj`z
zhv)8J@=#hmD7ChmJs?kjR74{8*fa@*`tNXVPwK-st8i);gEB}qq>0D*k>H<DZVPvl
zA$&D)^tkm>8JOnoozkpRgI`e(Y_d!N(w^jq)8ka&oby+3Zy>^h2g%u^;zq#H_Daj$
zQ3cql`n=1TRKfRm%#VRlBaoM9FjGCI0?ge1JgyK4F!XQFWh0UT9?$Bp-&|IPZ0JoE
zVpoFDTQ^M%sf?j6z}oJXr7}z;CZwe_$U%r6ZD_NtF&vmIXSDSpz;4R`7wcJR&}}3~
zbtV~uzGtLctR)`on&{?fNaDc8oV_q`-xxyI&i(19!ohuoqf%%72tr<{Qm#OpF+@J~
z3ipXq1ih*ep(P3r*kwuSvz|7F6R+i$1eWB%Jxa&I---pkH^{8bu^9u6XIy3KK{=3~
zzxpdLj2b%VqE87{QXo8kOlCJ-29!L!y$Wd8kO1@f)k0GWY)k&D2pg3GU$Qx6aBvh+
zuI!Ky?=^x<H|twnBuUs|xpdu*qY0hO$VZPl8o^j4qh=LO3~pv?<fF+`=uhgn8r3O)
z!^d*P*ZD=@@c8eg1-eD_I{R7`uO~n@*O7lWR0M%Vc<)F1!&P+Eq;XMs0s#$f5e3!|
zK9G0k%#v~6Ks^Yk|D$z7FbcDl724tk`na0l6_G7eM2nR1mCF!DV;R}^_Wg)u3IFuO
z#umE#@7QF7x&h>_y}fuA&kB##L(cdS{-75^5^hX5>Vt=&FkaA&5nh=-JyS5dh4QVP
zty@mjgSk6`A53>?VdBZ{qqE1i(61Y;S%DvP;p#0acBVBd2)l5i;_lT=l;Bax!N;Nt
zLFzd-g2Q(ZJNgw7qxcPUmY)0mMN1u!_P${K`Pn8CPdE_g7q^b`#QJR>c&H810S>Oy
z7gv$~<2Ew!F>7e+sI^AJiWbNnt9o$Wb`jx7ze(^-Sw$Cawu@{W(}K7D|ENvsXA!PT
z)YlA3R?um0VpBkgCal`*tq1>@M3N$|v%Vi)Mzy|BsOQ-=p%~vKsh>EE(6NX1i4m7k
zvc*3|v0x3j)|l4I9?^}gU46T|@n{K^U1u`;JV}Nn(<8cn|Gq_vT(0h~-4a^SXm#<!
zNirNR^d)f%mm>Zqb4r07i>T&UNZNFpIs_)O@@qUQM%l`{&PZQfL_as4n%gi^hp@lW
zxODR-w7uwbxU0`1npP1ZInqc1Q|rvK(WmVw{h<6&y(f$4N=`@iWrPIeZ{&!$+ubPf
zxJZpT?-H89c#x;0MGa)^ugu6$_oI?eV#H4cEurlEhFtc?)WDO@j7d&;7)=v0uQ>B}
z3AL`7dKJ(|gtAHFa4O|7^bu{8=6K#RT2$x}J?2J)Y@w)p<M;{Gr8M*THJ=qU&Li%e
z(1I!)jiTA+yF7(TIiDgLo>@ibbmjef1XMx!&>DA+`*$?Sb49{GWDRXg>AU;&kP2+5
zFkIt1`vbl8n$N4dZXMOU&qYrkt_;lqAzo)L{zOqCkt#xV6a6EjNqe%60Pn8x{!mYw
zL+9;+#c1Dbp<HJ!Bvfth@AEM8U&*co^hLALt@F`;(Ty`+D`F;ixLjAS?{r`Z{b4p~
ziI3PpSGnqj?%cwGodacaz;zit^C#ci?)fg7ceeAW!Ve`FzAJg^(z_K@bj7pfU@8^%
zOaCF?l#vp&+8{X<#%pL~dD-g53^jHz|5D7)JVjXQJFo6IxsIy3FRv?}rNt_1ngiTf
z6afyp{PHW@L|c6se1z%fv46Hd>+fAr0B`QcB$f0(s8E-zyGthnb{?#ub3q=QZ?MbB
zlx(8`Wn7HwADJ*0-u75OFL`isE_N_j|A(?<Az#(DSTN@cE}VP6<=}>3AofF#3X?TS
z{@d@sjvWnFjuW{m2ZbY(avcw-G1g;t4BWe%*y>uyP9l#SJc}0n<|9UnQPjOeYkave
zi<(lyBQIpZc#i0Ue@ln$o?OBCGw@=!zW==w;VcW!3}k-fWiViE9gP}iTKKSp4{eP1
zgk&K)kf7I)%7pEfuC;fT2w>4~TntW(%fNHz(!#<wEEwnA;v6|l2>bBps%2xX3{)HE
zZ@(93$4(0MN_}8BfE80heC!KkAfwHAy6rV5*1a)U!G2u~BY(POB2y#-5;>c?Z;o<f
z6LzCD(IS%AEKk|*oF*A~!kJexI>>|BxBm;pr%Pc|;n^+ge`TQdn9h!FG9M-d7C)Ed
zWUxldj#d_HSumkl%#?Q*z+SRS2k8#VV#=mJr=y2uA<QRF8TAyxa1VQAib~|Ml~1P_
zhEwFgVCd#@^BocF?h|#S@vb7)d6}==`HDQ4yVFKEEQ(^6tYp)29^tU>Yc^uIM+)F|
zvb}XYKmzM&KkFLZK)^mX%<yh<D8ba<(DFuZDa<Fz_@Lda3Kk%Bj(YMl4n!k-j?aZl
zW5yH)%j`rVW?A7RzVe*_IpY)c$980}|30A>fw^j!f;X$lCFlL#IDGqYSiBq-dHmGL
zLj@#^x~%Sfu%sG1lB~M%P*MS#G0@FKZ>eK`m6ubv-jkqu&mmW(UJ>i>waoeGNXF9Q
zNUv1$$&lXZh;~@uFjuqa_RUQ)c8mUKRcxguL<F^RSoGtuC-UnFa8d(%e*J|l`<yn2
z(7vG?peSQJUou{)oYlY@Kc=SmndpJybwbvWSQQMfIydMjtbzTDU5#2OHvpQ%V|gnX
zs#r$<*Gg4CGFIGS={?L0pmW9QrGY9DyAng@zvQltO?SIRXQ~=OWmZKG%|#+sHs{t5
zPDR3OT=|@=^eMpT^H!iNf`|p&QT+4Pl!(PENjcHW8N;D}h5CVKh?u!>BaS<lfSG&e
zWh9OpLn7xA+Qvu3j_FM7h1x1&f3B@6^>~=TopW+w-DFivN!)5oX;lUj(VLU>tv7+%
zCv!A$^U7GC&Sx_!EeWju8>zp1&;&Mi^Ni&j2-xqkjHbyy0@&xcdq;TMOn@l;rM@T~
zhjlCJ9^0GXz!ch74~He2K+Bzxod2>FF@kit$?-I5%)wT9lY?XeGoGAIzKQZ!b?fZ$
zn5VO7o7IDZ+Kv13_nvzkb5RzX*VNzXupB}>Q)0{pbd2Hta=G$Zb7{=VRxbSB$92Tz
z9fuKGN`WibJkqHri80|kIlQ{5z^(4}Pj6ug<jxoHzYiA0bkC99H4oFnWxUKE+BhSK
zzw3n3Jr%+nxm_jCM=^m<i+H5}CIHubmb{!GKlb;taaUCh3-rbqHr&4eAd=I~7u?E?
zh0Wbv%9CURw)pWj=`RTU7SKqo@n^>xueFtZoMVH7t>Q67U4~#F_NeLO7$a8ISoTMP
z!Vb22mIbrp22k@>>A&($8qA6iAWVOV9lDct1`>Ak!Sp|I)|h>tmA&!!E6U3b)FI>U
z6Ega+`+nU>*>nwkJdnz)*vtk(_@>$er}ZFMLIV@-{)r0yy2It=$_5Q~g0;@KbU`n-
zUS5teh<1d>k>As^L1*Wf!f?M15J?!Ljmv#h`)RT6;c8a6m~E5)SxyJ$`Rr%TMD`%b
zT)K`9msz1R@Y&tuFl}IAEAY)lrjX*sLoBYRSOLdgy%|5C1wT!l(;7PG5Mr7As^m#l
z*wxk@JEE@zp>8*9quZB}CsgU8(t)f%QI{fl7ioem-x>2!+jWHXo)0H$Ju67xv8#F{
zpb1B*J)7t9wh-aiPOo7lHi&D!&h$J<17t#;`_R4IMzWsW{3)}qSJzo!(}zg|o}C`5
z^vKyo_Ut&C)neE|q(Wq*HJ%KQH!Z#^R#SoI`2Z@lKn}1>(z^eYiwy1z8pY9EG+;K~
zp<|lH2_~M3!y-BAkkFnIy6r&=$GbL$PhRALKuzi|I8}9sJ#AidzL^dlr2Fhy;JD$%
z@es;pD+#U$t)-euF~BTc!_(e9Zg>;GBUa`{g39Vg%l+|;V59PSpz=2l)K5ItyTL?)
z`Q+*tJ}PEt<>w@~Z}P&SM_u_JtJEMvEHbh+js@aGGF1+U^21!OAlo-rHK4`sEF{XZ
zfkUh4Xo-UWEYZwWDT=B=`D!U)bdVj)IewZay%q#H1@#EcZ$wZIN&taUPVkW2q3+TY
z273M{Hu(iaaM0H}UbBDS&Y20YhIfm=tuC(yg<v9#yyf4b>gNW^602iyiYW9qaogRq
zBtqNNN8PCv9*98m{d~N|;iUL*{(=?}zMFnZZI<SPSK8#`Gh|6{*V`iK<A~6mVZQy{
zogc>ea_=^oNI|s$zdxo#gvGoz?~5%0;Ph-`c*{*1-i%c>4DJ8p%bGA^qA3I^EYk-E
zGG$=o(UDxv(?rnM;rq(lBn)33NSP`3$b$Uz%0c>ABBbHH-YU8s0E?j$CJN&6&?J1E
zD&oWbJPx1bT_nWdToCRxIY0r1Q)8NrORIrw<7pAb6>%t1URW6IPy|xO{4<MNYVhw+
z`hvqnNoWYam|RG}0q-u^|Gxty5TqJA|Ik|s7OGy!jK<=j#mz&1biW6#8_RuC^_PaI
z=`hypJ_6VzJTJA3P=_mRHr5jnGBD15)S#GG1@y`cJ%a4W&~iP|YdS?1D5u1p#gkPb
zaf{E+{iFs&2OlY^%awzO+?S({f<)+&Fq*XY(1g8EPFF&SJe&}nm<tOd0^@s|2)8UP
zc+()3X<eoO<rB$;BN!3xbE=2yk7z@%Jw0RHLq*t@vm5<8K?Eu3r}45Hy3m*xX?-d}
z3D}O6qD%Yt@M7g*T>o7?@Ot_>@wX8Ue5yu!{_b;NkrgEMh{^!2WY)C)H;n`1tX{Ku
zAi^JNZ{b{5L)Z>$=(+8T2feleKQ((*h%%`eB-SDzll%x@{tOS{4d&CNA!WF&*5hIt
z3gD1*>0riZJV<9o<ux)AVEL-#NFAdQTzpYtT33gM6a9~p*_M^yy@ZvzSELcpk?xQU
z{qgYiWqD+8kphe_$mtkP7{Qm}-uG-<I5=}9SW!q{4my8cmH<Txy!pMS)oX@>>%$@H
zd2giw7A|MjT2X)vHItvZtOV*@9#k18CE>Dt@DT-f3bgd9iS&jk!hA)2kKoz?2rs(0
zD|&_kF~$OYhAs+Fgft$xkR%8{TL^?b6ADCsA0IFx$OD71HuL!yUJwgf6~p)`Kt2&|
zs_;V=N|O#F-v&7$|HiQUojxO&doXg3?yd}IJZWIu%V361SK9113H!QIihcbKO2g#6
zckGIKbZ|jYc-&CK2qvzy)>y7ff=S!PzjLX3$hc|loq+*>(cezF9<~yoN9vtgJhg?e
zPQ`>wTn32MG)=oXCJKa`zPGRBuOQ4-RZmR$09;r)f8L4~0an)gF$VYMks)QJr}EAS
zaC9G}^E@g9<*iNRrNc9by6tVliQ9&tethojIV}N*J~Z(}b$0@BE+xl=bQnO~v##Wn
z|M-BaEJIlJ^C%Ky8|bIVVgQD!W_#}wc;I8L?GAS78^UIFpdLG-4;rVR-(gwdf&+BD
zDmxC}kY{UP@IF}&3bvk1DbjL6#4J8yS#A_brs&;^>(d3COb~~%FB|l2ms_CK<H#9@
zV~et~y1;Vs-9)Vd3xrKH2uRIOBI|Amb49^AP~WPt`%R7sOtyoB`R{#4Hj($av>n<Y
zRFUuEaGn9Mty7hrd9%pkQqOaFoHhui&<_nw(?JoNGtc7M93tZ_60(t?1vKY+glKYT
z;nMZLGEc8BB5Ag);nqu<p!TH2CpUox3JAX9Oplil9`<!i#ZD8<Ry32UpHc%86)v>u
z&MHzo8*J>_rU8xN$BffAs31UC(1-2uI-+V-JUgnZ0p%Q*V!vLb0{P5cZFy`H={V%U
zoLWf+njnwBD{NG7{hC}Eas3a%)&1_X8-Wbj4o~Y#9_}G8-lE^kDLV-AE&kG}QgulE
z9WZyudk>L}<nRbC*+t@n<^1hb)WPxH{mk{td&roCfkweyD)_(-t9~y@@Pkv2qo8>Y
zu{)8KaeaXrJ_H@x&IJ+(Z9n(CDoX`3^-bz}r)fc`YjEr57d7D18rLhnK?P&CM9lqr
z>7dJ(-{#DIjua$y@mf<;1ML@MU&c!eaCUi*BC<_{_6urE=k8O(x1qT2JTgqcTP~QY
zmPLfx%971(a~iOXKB_*w$qXz%PLF=t_igiMW^1>lX~D4UIve#8E7Tt$u4%nig$D!w
zdjIgy!N+@tj>~d#z>iPJXf=l_R6k7rsVz+p;XCG<xdbj)H1_|VcTok<0`Gz{O9t@k
z^Rps*a>MhMd!*`qWf+(?(OAo4gxbzxxloh`;!H<Bqh`u5D>+`bEXWL!9tBs5)%d{G
z%0K#jCjkgW4?ee6vB1}~x${)b{BTcG<nHbn0^H2^VebrL15vN>H=q0k;SIz3i7pxf
zgnroOe(1^pZd0XQ#|{a@I|awn3)Of?_KlGULAXHGO!{NK;Q^3uKT>ft6c43ZUY%Cw
zxZ#EsJ6F4-7$hZP=QU2@p;?W8dANWFE+2oF;Z-OB2Y9Tttq<d2p-WRFZjTp+RGl8$
zvr56>rQ7}3X*^heaGSw``N8#o<t0g5X~>xx9$SvagQlhIi?6JLaQia9^H9AE{Owwk
z9_`uBAHT1$1E>&W{?I)1fg}f)a-w5@A0@z{XYuOk86t2u;)tT>8+k}H@7(*lK!79f
z7zfScMBxo{_>{qEMfjA5#^^RHgQ}eZU)z0gi0~f`xVxhSYIK@Ba-UUz^pg3Y&v{9}
znH^NMDZ#_T%CrnA79zYYo8zrbmVztY^VVfH%FyroZri_u2ytZ1hWI9Fc%@LxI<l(*
zny-_4CSIyRi%0Ht?>!lCO<0`bIYI>fl6FJgW)iUYxinIl?EAP1eQH0A8VHPxgn6u~
zL!a6E`wI#3P_O90=uo)NYk=@~k^eM6SzOHeU55h9z9yWAR3w3?VY0U4drcU*QKrJg
ztOQZmy?f2kB<P->BWa)2hBnE^iCQEa9NefNe|Sa$Z^yvQa{{_>FDkl@fr5v$nDX-i
zc_iRcSbIzu)&q9mnj>YZ`&^j4J2z-e0zOd>wX1~&;N*WH(rSeO=(@@H+fQnca<)<b
zqz3{#EMiF&QOdw8E3E#3N)6bUU+AI<0NU4e+fw_K_xlrTzTl!NTpP*=vM@J-rvf;e
z*g0iLPJ9rw>Z=UXKZWcxwvFJ0Q~QKRgED+H<bK|gjRS9URk7Kd6j)F@{<`#-GPKc_
zZ)hefK$ojTZ|oWc?#)YyN8Ker@dR~xxw9;^vPbjF>Kj8Ly^4O#6FdyOo#{$blL7;S
zy6ypIW2iJ+ZnBNW!P~2rmHB$2pc5@e$vR^U2`q^=a%xI&!jm9786*HylGxF96JsFt
z*;P%{D}Xo7_)~^DH)QQl@<!N=p~G}iw^msm-1M?<HSjTmhe7qq^Ck)`2UaKCPm_f*
z7bw|cq6UsXmi>ft6yQ$sTza=44R>CK*agL}A(?U=o>MzU;6$#t>t!Yd^OX0u-^@%R
z!9*#8z9b`9nTtqSxF7*U+@A*twfV@5z6;J)$OxoH=?>F5iUJ*Tv<P`%03Gn`ILw|0
zF#lA}q%c4jZZzZ$OW&J8cby+}&f@{xdW=JVyb=KRU8gPg-UW2GJK#gpB?M@elrL4`
z_@Hgv_LJa=W%L^7C*GO_L-;nfs>9jE4Of0STDLZ?pcSRnep6)zpm6%-<dzjDR2Sl|
zZJt|2YoJGPrdJ=Z!R0667g%A8;iXn_&?-tf;(dFYULQ{14iG*4oe?e)Gtyu2t)lTe
z+-qV6dN9PqOZ)jX9ZdMx`ntNVpg~C^2gSm4A*HEsME?ghY*4<pFNQ6n|Iqa8N>m5Z
z%&AZJwe2FU(H%050ZZs!xnOo2iw=;kHqGW+|3xN@R!pp_f1_?e@`H!%wZUfQIQ@%@
z8_1;Qxmu3UdGwXv2foLZTEO4NUc$7yf_x}ISN|OSg<fRP)HY(*f>RzcT?Si=$X3Nx
z*A96W{m+N@-S|aK@Q7r%CR_UpiKp<T_ZiKgj=M7y!yXN|*^(L)A-CTf!aVRhm#5M6
zh(PxJ2!d%dmhfWyBqDpjyyE2WBwAUb|M7S!8Nv@{Qfz!i5I6ILp3aLCDBByq>Rd50
zRBTH~W%~9b&m23<H&n;bWbQ8`(;4cJ+oAKVO|Khyoo`HgjWUY1%@qc3v#Y~-?G&A6
z&vpb8*t$Fy`3?0p6jZ<xN#M#Y`YkY~1!0bAZ<rMvMqRdlh4ZqLAai~A<qN$!<gEfb
zR|D-3x|s4eXdqn;BIM-*LkT4aPp<mwbQnY@V@0^vgw<d^r;tbe;dP`>ebnT|#{m=@
zbY?IsB*OXcN{>Sna!`WS73SvL0kq%_F{)ji2o=AI%9qwE(D|t--@dv5)Ygu3q%uJj
z+@{BFFfZ1iHec2sJrEv5`Ndeu&=)FTQD_ryd=f?dubkaH`(_YD?cGAMCY2#!L5f>Y
zp#?QnmDC|U9zvb#LL_(ul|j3H^NUYZE4sYMC)4qMU)R5QJc}g(O7DvnWwd=juk@{!
zG!sWq!4b!H`!qb@KNT79vwlYNiodaWjf|pB4+Gy$f5pL&<6jE{d?)ILGjILlK92U=
zv<BP|$3cX>Dm^ybg_gz`TfK~#K;6v>dk<Vx0xf0Laa>LhI`IK1ANw$gejjeQos21h
zsF}z7g`i$k>^|H256x-xc4odpqmUx-XqOned-bFDj|w=y{_-7_NNt<V2vUF~L0mJ#
z^+D9WWbn}YtRLvDITf?bK6%jm^pM4|c^K^@IOMTr{6sOC$3i{&@{q>)E52536y2+{
zSr=)YLsRTN7V#C!!JPw_C{EtvXnu><Pn_m&G_wMCu#8_09=o}x>3^F*?S8PFP77Q@
zjrj`ll5fg_^q<NlBcCa>;>o)Moh!>|V=~3|`F`G1tMvulRQ!&1(=mQYxwnc2j%;Od
zg~>p#_p|4*Y(LN`=TL*K3+pIy&3?7wuQZg_{7e^<{E1r6AL^*~+e8(9@0`06Ar1Y0
zzH-GLbEvAU^wssUKj`VO-Gm+nX>gWcIL0u)fD#|XZ$!%Opi=)eOGIW!!Q!*AclI_*
z=oPUOQ%$40Xfh${8!9UW&$Wmd%cIMvO^cR*_c9e`S+Mx3<+UV?Hk~BZCa<D%K1TP<
zvuQA4F=ElDQ<9KgGbO?9xsK|@#anm=(qToJCQMHA5->jhqM$iw6FvG*wjm~h0i%*j
zurJq^03=n(9$)tdwW|8yuz)gQ$`&pBchkk8;K;1Byv`1qWOduZ+mIETsS>gc+!BM=
zwHFTKc6QOR;MWx=sW>npN&dk3OJd+mj%t2NM~(dt0096043~Ex)n6FK?LDrQz4tY*
zYp?HfjmRvKq9P5_B!!|xN-8qTXpoSK6rz&bP`1bjDg8=hgk+1Kf6pK9Iqx~|c|Ol`
z=d3}a^?4HAW0L6;X-*2^|IOqZmNC)iuY|Rk8VJ&>4qSYGC`Af0nH3%@S6S#^4@AUs
z2?*0Sr%kge+eu+-w#Cakx7g@fTtNwA((CB<xdO_(>!gsF^}1POkb^Gr&OXk`SB$>=
zBh9~)MGDtHY5ljfkDLA?Lm;K>vjjbZYQIHSTnbGNRS!Or`RE(oeO)fTCQaY{_C8p=
zq@bR9(a|@HL@%v9{<X<Lj=p)?>QPRs6vCXplFr!+(xu4Z(bREyI!}^K=1Pn-Jc>CM
zndF4&w-wG^%q>%-pAwF#pN^IRZ$ZWLWu<lWR0F4jLb=NHPv?vWLwjYBDd|16(@TtA
zATj<uxm=Y_WQ-aGG|R#7jkL#;*An!bnr?4<$JOcLB<kTUqw+}O{Qd5;k2L)(|GqbE
zcA9jXf8S)TY*K{aqc<Hs;&SxQm)1*9R%_GqkF%#{aVz7uXvv2CH{|I?slk70@95Ga
zdZ)VHD64{7vcJE<RFUpY<Fe!)qtF%hs8V)4P>0FfOQVI~N_4NRS7ACjRJwd`(9leg
zCPeuQ_P#Awq2HFhpZ0H;K7HY8K>j`vU2L4!e6}2?Mz79N42(TtK-UWixt1!Xhr<>x
z<K=zHbUu&P_m0~Q=^B0K0%CURgYv{VPD59d&ZnsqKfz!`Cpi}!_xR5c<E3fuE{<x^
z#Uqw{_HHtw8=1ToDatT`;z*6$foL82t@fympUjNt3B{iGKOQs3Nk<uj@*rKh*W>yn
zk;jH~ZhP0#+HC})HXQxAc}16Q9A|gV@PPr{*u(EcoG1;UXBx(Hc2elnvqSgh$olli
zmj}=A23lb{z*9B;5`}JUNL^Ae(W8sI@w|PSYK=|doY|^T6uN#@_2cd?9lCyrhu+7F
zHjrXmyn4u#LKk9f?%=H^)9V_u@5d6haAqF0j(o05x7iiybJAa#9(*(@O`y~kGyb#j
zsqDJ+Qx^K1hu7ZcpTMqG!>_hT+vvKY<ETwPfAFAk|JvMYZd7=j+iHu<=&+SL=9=^@
z)3z6UeVp|3+dES7F4@BNu6nNIoH{+Y$@3H<rfd2Vs|Dg@Y|)u<F6~HyDm`Mf=jnHj
zuS9;B>i(q^8}xkq^T9?$neOM#nBBMfkC0;aENGgwMv(UYv&`8Fbm!uMrna~2h|2oK
zA-mBU<>q~CG+jCRY=!o-q@#Qge=yV~TwsMQ<Ii2Bt0d`Nc4n6^7Yd+eTItwF1}l8w
zE*@9iBubAD=bS3`7DA_r`(%wT4f&lL2cGB&(c@_`?i<2{v2B7n-dP7kdHt$>@s5u!
z_C(>jguDp2))ziuG6nK%B-gt%u+y=9my%M52!yYWPW=ub@H^F#|MX!-x-xO^Ty(q$
zj>$De_Z+drA4{4vv-ez0Q4LRZMVJWWcAfUUf58H7j^)Zn7k|}|?33KoT}3eTdiV%u
zi8;m=Jh*0pnrnQ$QqR4XSgT{ybusRT8N61%w%F&l6R`*B@6QejBliPOV3Ud&!gjxE
zpRgS!4!khw=6EU$`DfjmGeS%e_Zd}vU4ID8dp})7(u84Xw>$fDlL<H_8jFhh=ZV}~
z_V<Tkgb^a-zo|sq1WlzCJHENB5FOlKZ(lzzjLql0H+y6l!=|K6&i6JW#M>qx?z|<8
z9*1Y=OnHnE_fUN={|{y~UK12}*D4GZsbr;z^G2XqR?m``S+Pg_t$DxLTEC@DEJ~b4
z`0{7v<BchHC_ePR>v>89DlZ?f6eJts-|!E|v?fk8Z2cHnI41%crzE?tq9KeL+PdRX
zxxrXi^>AInI&Ab)ig0;ufJfncK{gwCu|H)8SEHpU^81pbE_fMWR@6n|FDpOdyF+gE
zaEd{kW$B_mqXD+O)gQgKgM@VZhCAyg#BfTNGa<P|9|odV9AiucaO9qEJo|(=YO@Ry
zr}pZ@OJi~ai<BTXGCYf5;FN?pQFFXZNgv87`yZ>a2;tZkrb8>{QdrHb7uz&OMYLEr
z$LqgBNQ%<$ei$zeVg3ovjn!1-J?}CMnh-{rRlHHclnfXhmgHQnQ}O8Kr{~!-BIr8K
zBoSmRhrxyuMhlTt4A}Rpgm8#rW{a<R3$r}38~85^9-(3#V|UG{ni$F=Iqoa<$|HHG
zWB9;9D*WOKjGuan<Kn%kf|Jh_a3+`Y;ou1>IAj+#S*1y!GMqI!?v5h5n5OIxBvK*7
zP;;>0n<UN=O$ql>lpsgGC-=L83PZ!2VtMA$FuZD3-4v&cxEY(!oxiE5Vom;V>8=d=
zR=u+KMycR)W*u{`p*~KX(a6o_mBXowI1ZmsRXqD~{qu#Z`cU}9zh`xg16iIo)(Hfv
z!Q`S@RMoOR^6QiKH73hL{Yag;xw|?(-wBv1JY@iboS^1-F9k^U>4@@B$QTVcsvN;<
z2xhNGzYi-aLZZuQkJ1tub-F@<v!#X@&NN$c8dXGpyGG};2O4l!^&0UFFv5ISlG4o*
zB^X*okJk{I@O<qr5Tav@*}MJ+&mB?*PiUl*Sg|JFe_>OxVKqVW27Aj+c@-#3ryBp9
z(nM%x@(Ojx1W6R5=j3`7gx`3f`HfWzU$$7xOtzWAt#3hZ*+&(2d9jHVgPJ)1j$P%{
zD>LN1oye{JPZec<BNz@QXu^g!V6%CtIsW2{C98`XGKNJrRIO;>MznL3cD4nE^4KNH
zZ>quDborKxkp?==V*&*tEwOL6guF_-8lwHOwU$lEICr?Q^}Y*%XX4gBHvUvYJ`*q7
zV?K45lK-Z2vH@3k2Yn}d)UfRPp5$Joipd0(i14kz{mnnMvL39hn@RHTwpKy$VZAql
z*+Av9zuF&ms^OL47Ln)*B}6)_){)wQ{IVjQnJHDYFPaJrN-4sMJtNd<4j6RSceM*p
zg(r)bVP%v&TtZ|;BY0>q`Mjh2<y#eO=x*CA-z|$~4xwHyK^mA^(sm4UsUXLBKhLj5
zDMa46B-6t|!@<Irc~zFmup({x!v0$vw$+}-ihqDwd7kUL_9#KGI8!9iUKDrYiWK&?
z0;Qra>m;KT!CKAKzy7;0*cjcNEpvgR+oEgO(-rX4n5&`vwIJ}IMQ-cCwZ1-nwPY`n
z$AN6~YSv#QaF?hrY}5e~wJl@wYUB{jtoos#hz~59egj*32(%n7DP$~@Mc|);u)AD5
zICWK=E7_5N=GMmvX>-z0R=s;Wc!U$ldqfP&pIV}br+@i`ixfP>otlclfye)L{?{gJ
ziQ7e6pX<Gl0G~$U&;k=XDyOb1<;GfI`@Iv~r>(_Nx1;3rO%*l_4*ZBq8Zn23F<Xek
zPf=XVU^7^k!-}iR3zqL(&7r%HEYW{=9bT!f8w(6z#m}2$LZiYAGea#ehoVK`exsK$
z{1_{|rOqEYDPsoX-sSF`NMQu^r3{NcV@2ENpDODwnnG;nRMkM55He+rk7ygP;c_L*
zW5ziXxZUAr)NT|+xSQ<#r(f7G{Oi#ZjsO#Agj==tt?8T2Qc&ZI(zWx~+U~sj*%$^-
zUff(4F97A$x}A1K9Qe5_KTE{J7+EUrS$_otaN=QTr%Np-WcgNY6Wff?$a5k&`Uwdq
z&42B<!@!MW#kJS1-HhOqU~;qN5DApGBe~sPJm{!@$LQB>hzeGv7n1}DMejsH$sc(!
z=<60LvC9xD?(|pzbrKejKqzQGKU&|}huoSlfVbEH?T8u)2Q2($7!ye_U}-N`jWNKk
z)THQL79`wH(A94X6F@@eg|-Pv16*HCI_>RGg2XrB9hJd?(DWCpFngwt_qPRH#_y6)
zT080-7%2oF`BlZOYrc*ynLvI!Pr|=xrke5$VH_;(P|fDhhn!<|-8~-xNV9Rvo~jeU
z!_rq-fmKwjSF`Pn?iIiuiP`tLT%ripx?V~RqQdpXspn4n1+mUR!Ao$L7#ij)qfh8k
zaoe`RPJ%}WTaNR7y4@s>$;X2?UeD=a=}bi}{~ICnS^5ccx=5m)PbRkNy&kN;8n*99
z5QfdaZ7V&4QYi3oWh3S2;rN^^+3c_gzSjTVvL{srJU^~&OgyKDW{o>){eJ5(+T&W%
zt|^CSf&XQT9MgmSQf1@egQB?MeVg~1ggkl`&QQ}2>0$kYd2Y5#V%T0Pdy-j50ofJm
z7sZb2fxOvf%e9x{sM^5RWGAAC6m3E2ig-PYaW^ghWRpbBX@#d+a!N=|Wqy=iq6c5E
z*XP1^OJR85mjYHjWv~p#Zy))ww(rM^wo@OaasB6$iDY{fY?Tn>`KCcd;Z7H?N)K6>
zD7$Z)_f<v9lhs!@W2p$KF7h`Ek%Lh5<(K)PY6uoLrfE)7!QJdIUuGkZkF#QJu5s#c
zU<)bReOw=o`*M03B@|%xSa|5`6*7K(y<^qGV}PRnzH8?GRe+%|O)END1DR&Ke$-SM
zAX31xeX>;%XX&eqPkc0SQEGT!<0(T}9eTf;sYnTmr@oo(k<o(f3XhAx+T5CWZ<Kj*
zMj5QvtYQtHYN2i7KaEjSV;H?!@(OiU!D4B~rFsQz@MMJk?x&hy*Wfe7Kz>z-oaFLR
z@X|&>`t{xMCZ@RNPA2Vrr3#@tH#wC&wQ=e0=eYZJW~lk9Fe2}xhCeH@djv(avEc>t
zpvpFLymo21w)ck`?g}r-3MFabQ)J=~N`M9a6uQOgIjci%!ma8?gC=e>eVDv_*b?uX
z5xAPB4&B$BjrDIdAm_XCwQVnf_CR5t-_O-SQM_~S;8`-Viah@eDFTP5^IMl+sDsZd
zopYH>9peYa7*AXP8q!khwXUlpUm}`B4OGQqYD2O`AJ9=TUvhJ8-|GE$0-}nPaXxu^
zd#p4KTDv>0CVWwYbWB*4(<enJP2M|h=S+iFCa?WQXEn^f)HTv!Pyqki1F6P=Gzc0O
zuaIx3BFK+*y_&Wh7N_-HYeHxcc~~c;*{*`ZSCh<>JyK|lv^ds(hz7&*B<G1qWsFDr
ztI;lrBiO?vfZvk_dzSEizZE6i{J<S$e0m+Y>%SdU(W4=;J~-|2sv?4!ntQIi5JGTA
z(q#ok8fv?~HM=h;KqfgeXV_5y^{0l0`QHKMnLo9>CgpKquR!O`?R;ojIT$|@4Mg5}
zFY;kn4g;N|L`*Fg7`M}cE}8)EMvBxvG|6I4%s2RbBRd|6S0pQR6R0?GHS*FYX(Z&&
zQ9bsu;=IAH`+fQZ(od`xoLi7YYU#(<ld;Umd+45+lVFMBlHM|D0|}hEjK4N=Ot`*X
zoO%CG3$O&dU1GW-2FCy5CZ4G<BF8+u?zM#l(zJuORWpksz}PEW`Z5Dfj&pq;PBVv)
z|Fm;zrU;sc)b{e)Fu+{p>gA>hGwhdqWhCb&3~!(Ho{rWGC?8%?RB|%Iru@AA{bV8d
zR<=fdKf{3h9A@v(`=&T$O5MhxD2RvBJd&1E43PFOrjYqeF)n*D+T2V4ZuaU|Wv(*f
zeTXps`4AH*bCG;FgGsoRf4L}a3lm;2o-}^-#TexABd?P$^Fw22@bD<Xj0+FO8d;o;
zp~SB^9d(EgY%KZ)7wlQk^wl6VsKy9>)MA@0=Xl|9+Tl^lAyz1wY*bY=G{Oe|7VESY
z9+(GwcjhZ*gZ0n4U(_|fcd}dTM*jvL^xxHu@#f%w>fNK%m%4^<iR!Xmn&yUsX>rA=
z2u@_S`&51@Gr*qX-`b}dxFIVU+1kX#jo5{zg>nl6j6KV)WNGHc)AX!)oiZLYW)cPa
z8}$*Zkp1YzJU7<UDnn<(`7qU(I-<PB1<Mxp<q;<y1n~!{4r`N;n5<bUGfTx(TvSC-
z9S?Rg(&WDA3Sjf8tqe&iRG4;2B>5iT#g)-b+m@{b;c@<&&s#$(Y(fIms`UAwcJ$JL
zllz5m+gQk#XFv~qMUO@DmH1Ka{_x4|TwyHo4cay&>OsTU>iYv}5-vK(t)owhfIB;*
z<M4VtY`&nwk@JFt?&3X_Y96AnRqiy8V9|qASiqyGBLXNp|5s18O$>Yu7nI@}D0m>m
zL4IN=2v<3&($>8aXj|P}ZIMAiO5K;oj|7E~XneunQdkONTQoX-f+)}%IIOwMER4W2
zuWR)CrBR_qe$%j-g3Z!gM<lsL;K6<|iTp|yr9EA&CukIKKff?@MQt7Ke{|k0GO(uK
z;n|+Y%_#Vtu#)_0yC^8FR}S`!$zxxX)5yFP1^nACe`P5YL-hBnyVtWRqBx__&uJS4
z*@k^wp<EKET}Ue3q@e`qQ69mLGZd6*@wfbqk;L{v+T#E(Wqd#Ir<J{u0{IkoS0-U;
zIFh}{Tar}3J?HT(kXa8IKlA^VR>`1_q4R}GvnuY|9VMOFt%oZvFR5=$<PiF`OOkI*
z_vC8sZ7J{3!_Kfy!xC9}2=!%LbhRc!>|g@N7Jn*Ude;uf@hU)W#??^km<E<9f4ukd
z>cfMUwo`*a5$qgVT;G#5;lk+4f3`^<jehRWcFrndx$=_3<4i4tU7TO4%rk)cqsX3@
zV@han5@%wG)<$ajlFptqLwJ@Q=c@Utj8w0zh5|wdtC5utX0nYiu}2}+wowH^B7BO}
z1|3M~ecRPpxyGFlPp7IPRXmW9qS1JCF>qQn(0b4WCOldfrNY&Kb0Z#_0=h5~uRr4?
zZ3f4O3WfR<b;!K&do1`(2Y$uTx4XQ|QP|L+NN-k$u><2K-!+5$fq&zX#&iq3o6X>_
z+(3ri>3)xq!`cuWj(_i0Z;7#Ec^(<J$xz;9e5u(|3*S^qZ7+=w=-e@yRMJAmjf)x2
z+G;gmQQi}(9}eVspIP13Mn=agM{!49GG551?EgIm{EEDI+NywzgC}|HZp*8I?%;Pg
zdW{!@dEIx;Y$T)0<iJFvfC`+B^=@jrPD7|d3-gT@byz-qmD4(=2*=Gqrye%b;NUDs
zj#E;{!xOh!Z@rO6r?sQ__fZ<&KPNft*`kJr?t}Rp4zh?Wle(++mxdSN4Wk?OtKwa3
zo@bD`B#z$mja?d|!TEbW=c1nqURuS3FB}uav66QVN9t(^326Cwd4n>Z72I5nW)Oz0
zKd0VYCJjZ;&TdyyRD%5{e>IGekR4qsOYxzh+*Y)%U`7GD+UZ-3!gwIo@#F4Ov9&rY
zIybJolgEz<nV``Dc69TR{a5M%-f*S8Wtnm~6fC++nui6-i=J~P$ALB`W8U;J88lv*
z=35$P03OvOxk&+BH?uBXsggqLuSGuJ-^+xrzxwl<vjjAR%r)wBBtY>a-TR}tKs+k>
z_-jj@CHyk)&hNb^hLAEcsrT3{VH9<^`UsyTHl=Q;vi`UZGN*Tz4&M4pP|dDQrg&Ij
zm@*loAuj^ALiy7}iPJ>5=85p1H_h=-sw;dUMF^ud`uozAr-?^ne{+pS&0s!mRQOIq
z5HWZ6yx>_sO-!3S@DMdK!y%_9^Q2)CdR%fU7JH_Noc?nIKN3t4?4N$WCXpY5f{EvI
zoBtB7JmuV<f0|(7)yA0m6kgoxu=-j;nk6P(!mr9&n?T*AMNX%Odu^^HCg;=U2<k0w
zi&uAy;TaQ{oV}e3<4gR0)XfXTQTIT_Iu2vR9$NPyM}iYeCXc7`uta3d(lrf&jbNEH
zRo>3e0nPT`107rc5pgYDC)frI*L3l`%YZREqPo=zXxCSX{5>l*CT@nP)m*pfK{6Y@
z5MPfatT2F5bBo+kXMh^(Pi3AGYdLCOcKZcuCPc<CUaqxX%N+wRG@YAS5o)u^HY$r5
zMnN1w%5U_Ma<<jc{@z+nV`QlhWoN}b(b9#v_4<&m`@6L50V|GWMhSe6Tg!u|H{?0B
zQc-He+B4F@3Kb`l`#0n{AifkXX|kP)KzjPfb9pv+A2`GQ`6DN;<i8T>9oK_@`fJ&r
zNo;UG;j1T?%Z=}C-#59h`G1pUO7ABncAP2G)6-4l#n!;Is!mxw{Mz%D?%B(ZhK=44
zyf^ugNSHlNr&HjkB(xIxm;>$<wIj1@?{;bHiQK+@6x>k0vXuRh6YM!6BBG*#m^XEP
zJS#|nBtvF;ND~+A{{B6x?kxnVGmjcJ)aqhRJFMytKMxN0IiFpq5Qg|@dbj;)U5p){
z({u{w#ik2#VV;`nu#leZ9AT*ow;?&dNlt!Ts~CUCS1pR8^JgYw*mUvpPT)9w7YVyP
zjt=z%isOLCOdhpZ2OKJlK0h}LK<@)T+1*GIy|0WH$bLF_!=DthW4j<`*ED5NQ5vtk
z+#J4;b>JTT{)0k<5O{sJ&lFN*5mqdp63e9nZ?+$;x@E$68>-Dv_(%>%U)}Dx%dCS4
z=LFXf)^!L|ud9vdkw?${=Y)v34kk{9<X0aR#fKfkx=ccfm|l0Tc-eWa{=%cM;#n~;
zRL(~o*scVH*L}^McXg1QQyYBenglpUI>@eN%6MOPrimh`3w1V+$c)WW*!h#K`K*{K
z7RL8KZ`-$aKPw}`d}J9o{?;iNk5xmY%WI9^c3sf+J>N0TBL_LJF9!nV)uEG;c7E$t
z3Y?Es&&QJF@g&nBHa<`T(T>W|77G+eQ|=w`l2O2)9kVAdcWQ$9pY0)&r+TQ#5_;#W
zuZSxNIg7d!ZS?8hx|gu#Pqw_tY#MY`g7NX8|K1$af$^o=@x2N9coA=xa`KQeYQ|@T
zr8eloSiH)!tIz;?!Qq+1aVn@&R*W#B>*A9g{}$o3e{|(Sny&7epZ^rn5%o!of*(3v
zyK5-M_)OWSo0g{rwoNtHN}MR@aqc|1FT(_jSK=3{*Ybts`&RQY4+{EbZdZOKnPFA$
zLGVy888g%6+HZ9z(8SkWu2;?1@@00Hwx$N$EV55Bb?bt`)24LCnvOB~(U~TyH89@g
zICjZF7l*1Ey>p@ngbD87prN3NUn~^|VnuauS9t?X<}k1;v0r>;vnCRUBl!F+v`~Mz
zrplF@hRho(q*Yf<RP5VkJujpIuaZSetrQxl-{lokgf&6-kNeg1Ky8f|Di0?at&ouR
z!BsL>0~!o%_oJm$5H}k)NAj>jjsLR4;vyL#TR$F@2v>yj;RK%pm#px4!Ro;gMKW6M
zi4PlnlEcug-~pSvR>-$i_jZ<7hwrgVK>}G)h~+<AuAFBDJF{8mq$O1_+StpHK8hk=
zZA;R%cq<(Fl1!hhQo%RrexZmUA!G-;Sbp@jLfOXP2){kbs4Vu&U*+Y;#I`G12PCa9
zX4e1x36m1OAAEWt+L!~YmEOBonrOH=<iJA7R>1GQ$K;y#GGWsu75k-QG^F~aFYh*z
zhs+25y+0(E2#E;hYsZCXs5n*k=F<~d1W_ESGilRAxlhv^Uoqe{Y$w)3l7`BY<jc{D
zBgD#`=ROm*fL+L5R>3P0u$nI(GJiTiv^~Axkz7UKk87sXsFoOdHSU+bd;F0Y=pKxz
zAF_m{?HHTroCv6KCj5do-V)4?5k9_RmRR-5eAO@_1d3~x;IQIjVoFT^#VscbC_L20
z0;eEGg06lkdXPoL&zvH5#G1qG?q~p5K&QWJf;$QIB70jTIMawcg$sS6Z_Lohuu08r
zjW6l#szKS_`NZQhq)L7^Gq|a@?nr6ng0}em*B(qyiAC{tpKUItFx8hbVfEqw8<X*s
zjFLBm<o5ZCV_7Ch_TZT|(q_YLpQe(xDb0kdz#*}c-^Td$Vb{xjb}Z1CIjEMuvx6u!
z2wjX=Z;a?K`)(H9X2RmcNv)N@USh0T^_JEhBSeI)Tvsq)#2L?E-&p?v;^_6OSFf=c
z!L$5ro*)AQ7$|0e#?QVJ>vyVDCI=eg)8U^7XBPeuLN^Cw_NxpL_G-#c7CH=&W_$UJ
zi|aD+@=)$=v%(QV{<!1$qBS15n|-(+Hor*Z6=^4>TK*<}F-eV`uh7SjgZov(e=iV5
zF|;0+nMuMtIVvDTOCQwvfKB2W3&i?=SNI-v{~;df|0T8;Qjt}*P&-^WPv|`f{8w4`
zmoT6DyiY@wiWnNt8?)W>#4>kZvsdFR;Z!tyqWzv8_WmjTr?O?9Xy9TT5c)n(%(Nst
zvDMW>?x)4}@YC~z<u9G{{X$Db$A68Ak<Tb_n|giqY0o@iF>K;1>-Ue44&6~3VoyQc
zuA)HFz6D}|zc#d>eU)IT|Mpq4R~M~|Q<uFI776||6Sd82_vfa}wy)@jF3wSo<Z$yX
z5q9;NqTSb+z@|wpnB&mJ=j<>>s`@gaY~mHtE5rf{OI*(eCmqnb%c?>`{t^1~zu#S2
z<1jV^eoIc!MxHM<h;?d(@EPDPaNWy}nSg{}96efyBWGo7-pBx7%gsmL&^V#gabEME
zh8FC!>dt+%Vno~4W9>Dz-1r{=0RR6CmuEcHeHg~=z4zXn<LqItbE6U}MLSfal+4JA
zii$|eqq37o5!#aR|3yVaWM!5}60&D_yuV*v_vael+`@;o9Wf->+3@(D_bv{2cj&~x
z!60Ga3^))eGfspH`a`lU5u7lli2pazCJGSJNI2w71b5z%$jOgfaQ^2J&PY9R;L(|#
zIo?44zrz^>b|W6hnRDi+rAvTv`}U*S&IBk@ekB}M&kI`1vnB%SQowlMa_rfJE-W6u
z)h>RCA7svJuxHmv!|cxyU$;bED9yL2D?cF!;VnfjiOI6S_~~=6fu#$?+&>LDA;NG>
ztSItKj6ASOJr!<d*99M^3+?J}M8W4y&4-rzilF$URq#<K9wa7nJ$hxuVMLvd*8eC&
znad8xnHoHZP}uiI`bYo|CM(HCSA(MO&qK>U;(=Rw`#bbQ5*oRs0t=$m;naIRy|^(v
zZ09*?=XzEeR9u!uj!tNRgU*tgFHIK|JcG3+2(oaeG3hn8zZRg&VVQhsx^UE67gx_N
z5599@>@@;9V6U%la)m;G-u57m@f8IyPss4=EyIDxgGYHeGX(HDZMCmnUK#G+^3e7S
z*9FD8+149>iLjQ_79)E|6~a@!$GGf?VALz4)QKlU;q4Wi?Kd^RWgYu-Rf7z+VUl7J
z4=50|KarzXO#@czs*7GNQGlD<gz(9L2Cg~+6{dcgVCY<(H}6IR8KKL!&soudU;c};
zZ@m_TZL5gjFsDOtS<yRu2m@kn{F?V5>OlO^L1isY2JCM(n=b##1hK=uCG80~Sc;5m
zKKPgcm1T98qTTi3Mc=0F_&<2yRaN}dNMVA?nbJ!|(uN?%UhpKslmNGjHwEvyzyzKh
z1<lRBjo{Cw>*U5DB3#zo#e=`Y1n0uf)werMAosC(A^8Rg!Xt75=1(!9P-n+PPOBLl
zOs<>RdVvgnGeTpXa|}Q<IkWc97QhIv^ItTjfIxA3!AX4v2&6sx_s<2uuUx^1{S5`?
zF7&?6Akv|-8Gkv@+7cS>p4RG}ra*gKpd+J-3XAuX8dgQEV7$a0^BthTH|++T%&QGQ
z<Oe%DR#?G7A+71GXbPOw2-Qn>)`g%svF9^Z*0ANv>%#xK$<WpQJyO0+8&o-r{hnr9
zL$D&9r*xDA)pZLMG|+&KI>a1kvj*IQcJY1XL^u~FB-D0E8OZb#oG@SwlSd8<@$V&o
z%He8@mI)c~WhNHJezXR`lGKoa_jvfU>^`A7Dh8otFN3?1tig!OyzH(F4gzOyuL<FJ
zp=d_&9ly0T%;w(TGvcHTI(Bh$nm<=qQu7DD3VpYNCzn&Pd$F3Jzk{ehJ~F~O_I+64
ztgjVF9I;c5tWpQKSy*;kB?^1rlw*yXw}g<2;g=^?RDrxjPh7xq2>Y}J9l?cIf}qXY
zIFzac1FMHbbw5pEb;`GC>5BmWT(^12y2%6OTS}%#*aC+2c$Bq;0?<9Tn#LcJf!dWg
z+Tn;5>^fdC?)x$e{3I9hv*IM7J27gePiqaUQO=GU=VQSFCq*`6N(}OYuTW)QuVa%|
zO5N)!7I3|$8o#723`cO9HESkp$S}Kh>7KbcnEbPnN&d_SkA!|a-)zT*>Rrz696M$P
zXb0}d<S#Bb!13flj2as<8^<RWC7Z%p<e^M=4|WiF7NXUYy^b~49czsJWCDRA_#G#r
z{;^)H9n>IxS;Oo~{KN%?OhD|kc^~`8JWI1@^Q7$fD#nO$o+@)R22Z(gErYQsmPePK
z=T)v%tYFn)QYqUA(8pD2{`FB7HRFt*EbbpRyClF}Gh+y|g?i>kwFg;}!K*`UhgYza
z4>bXsw;O^ajd)tc`76sWFoBb!bQ#n3i0$6`*Z}I<@1BpIt!43qpA3D#SjL$6RceHo
z0ifgg&)TJ~vkrdki<RnJ!X7;G70e9P2W#&4_J)IRvD?8PPwvZK!mKZiJwE+Q4`hOF
z3t(L>m?hC<dt%-awuamK>-7OWSoV&pbeZbHep^2bFmGMLGCQ|O?`>wn5%+=J+e^M<
zj1;MRQS@c3peCE7YR`ln7GectjUg;X<0sDX?J_p^nQLkGBLk-1D-Lcs`U@+m>e-zh
zy@C<B7}1s67_iwZkIOWC6gzVBiKJKPKTPZw%5`t01NRl>q4N>rnE27(Oy1m8Oei?K
zw!?)EEX`wXn@lFLJ8ViBT-@te{F#&{fiW7~|L}8U;pG%Ii+#jM4s2*|qZfWLf(DPW
zZyt9roWc4Z&@Bv%*%5DV7jK3n4HgW%EW>MNF~`}}A~7otB;(i+KXrf#uBPM8VTb22
zn_GK01H3rV*`K{#q+|*RvQx}SVvAUolO+FvQZAHAl^fvcAVb=lAUn72C9H|_+AVQB
z57PhDNh(w&gLIQDZL)d=`;#qXWQ2H;(gAJKUVjqo7yh=ZylEBN+0yS+8O4u!rzghu
zH4s7fabEs0b~beLhVP|c0fNZ2fbX;{g$M?}F22=au%n)g7QQ{n!pL}v9ww7U0DP}Y
z$-#3R$o%{5mX%Raq#3xwe_oUT=i@(=cKzT)L)!wH|1%dy1-FBqM%>T^lJaAhTu*M)
z-}bEhO|AsGQ^h5lrKAgESs&Pk#dwj;7w7vPWGQrvSsQuoB_8IKqO=$K`H;><{jJ*F
z(&)>(^8umGcu>Sge0S*(K!={%D`XYPqG&H2F;huA+|D$dZCDmU35nM-Lkr~5x^5fo
zbq@}<+|)0Z-zka;@#N86t%_(t;a=sY*Er}+G(D#>E{0^<*zVjSsGw~fcm8D+;=u9j
z4Xw-_5-5;yhl74V4b@x{J-NDZ|K{1Hj+iD%6zp8riGQVz4DaV1R2ss;u@C{x1|Mnk
z_}`xKOp+$Db6nnLN5{kP&;EE4T^0r7wgvcCXd(L_l5GBYc=$DSUY#l{j|O^d9cz#2
zpgPWhez`5W5S}2%J*lpUHbv1d)M?^TNXa)vcX<Mo*$ag(?NUa%sWiQV^SbC{nN0nh
zHWB7u^0*7;tD?2zockI&iKu5Zez`S(1U#BLd&fl8(GA@Xap7;t=(SVOM+IIARQ=wv
z(Ce&$(rDz1Q3X`=La3x5{Wld-+>T(x*P5uU``*5%H8f;cC3#dwj1H;oX%F*Nw9&1{
zUITw}=_vigh{gMT4A}8_%<yl#4k|Lb=I!OjK&`)9!)|?If?-Nm>$YVaYTW%L%3Fzv
z5-um~d*!VUeIXZ9a@=%L<DyH$wk#%EX=bngV`vC{{s~6D6$Dgg7`0X54->h>%4aER
z8^fMS2f_JOBHHD!NDW<NqAj&vE7L?%$T>lqOHv}Eem`r@7nMxZ@m0aGon;Ougia+|
z2vZObUA+3Q9usXoqI+6z7YlIA@Hp0c3R-zq8tUN8K)x#Vi;R4LSC;Sn{+Upb;cwf$
zjRth|UbT5XG|3VUoXIQcI8H_Qb(t`wR4RJ6Hhum6Q7b6cW;dR+rXp!qvuWWyBxJ=Y
z@?Kxq8fILM9xQLBpa&L$>s{4&Br+r2-juk}rymJnCZZHnE&I@g%BPK<P5u~tIBX3;
zRfM7+Tx2wA5$tYYuZ~0m*~8w7ZvyYrE_&K;h$yGx@$N1cMKn~QWRWeo3CK%(xnCF)
zP;64sa(uQFIv{X!=JTXAtWRFx%TC0j3zbb0t>VJy>2;40-4bh96cafSP^W|TFFYZX
z9pykHMZ!7qd#u5{?#FGHNiDQrd1+@~{4}=Pp}urs#0riFPWhxtXrg}uk~dVd8?d?3
zwf^gVR)9<1_IcV!9m!5E%|sm^V7Y1VNw-W|!m}sk1f@<DWbgY<-<~neV$(mH^4i-H
z)O+1d6dYAVnLm8hr4KK$G)f-cvKs|R_|?e}QItcZV~@8<C9kp8+Vv_*JON_O(&fte
zr4ezu?D1zQc6fHjnDL~I1qV(=T{};gK<OMfuMQ&)@bT0(-1OZ7PP*(Z9KngA_yFeo
zn{E#1^v#@Hn>7ca{t@?%qXKAnd~+2`ffLRcnaL6)%|XVp$FWeD2MwRezH2YR2_C)F
zEssph;FamE{h-5vU~9X9UKa;Udg_I#dznI8pLy`Q?J8Cwr2B||kpuW%p6`;*HG$43
zzm^8B1x%5hmpmlL0c4f&{FNbNSdSeL`f_>-8;}YY>Mdl4ixRI7*^rGP?Bo&~esBcy
zYa9_!v}T8UozW?Q=Zs*>Qkl(G?(bM?(fb2&KiS|YZud2TFNPqY*Ce;jYQ|K17KGhX
z*x<6#zV1x2AymArFMVfw57T7jmd74u19?W-T=R7U$mG6%^7*fKtV=2$Upvg%K)KBA
zhSQurP<LLqbic8kMf{S+?WWHL*?QH914r~>@zP4JtKfImjkbdHVjDKtnewyMvPBOR
zvU=<0tA<#`{UY6cL2S?==FPr&iyquPlU%7K`<u015-QP(*Z?nh)axC_ghoeF*Gt?u
z%PewQz)_bS4rMix?wK>eMU+tEb8(VIEWiCs_6a*&lTHh*!8Uey@XwB7=V?~BN4Cbq
z9uDA5lhjq%!hlmn*F+DHXIW=NeQPQdIpH8XUszf*9s2c`in5mHSaS!{w%y|30z0KW
zqHvfFg3)?)CJhU$BGq=oDnV}G=KG^5JWYd?(T0<;c}uJZ4`S8IH@Gb<m2Y0)Dh<Y6
z{kT&SS6IJm>E2H9ypUvCc*;(T2I@AAE7pmttPnoM=sVo}5W9)d`7wqHk42Hdrh;`=
zZK3_cp+^ER9ruTK<ue7Oc<@Mdh7IzyLQ;Q)2?6uln~Rs!Dd2WZgV$G!19-$Ymt}^F
zfTzQHS<g8#XrJSa|Kr68mHN}$3igSCpF7+6|9+6bKz@71`A=NHnZ&4Qy(SJP_qG%t
zaUwyTo#d3REf0jZOYxb1lK|Cy<8M@(iSV|AV#x867l!%*mlk$PL4V*)!JY#|Ft2VR
zo89LJ`DWS!>X0<#tF<|PnIeE^tNJKDMi9KOTD7XA%YtN6!`G-(0x098KItb5L#d;&
zKSzi>_z?uFo;VUf>%mymNTVpYuT@F&MkqqbFuRJsDgpjpaxD0xC=M^(j?2;>D}#*D
z;a)us0@MykIyIe=00Y*s{pp-)z%zZJymfVh6JtWG-P$GLf?(035*u|mX%HiSN16b9
zLn=oPxJbi|QJ189IU11Cdt$%!b^-)7FZ8guWT9^DYW-#@El9Z97NPQp09~&vxI7x<
z;9rk}?B{fC@JH8Ir^rOuW{<y6`CI`&_j+NvAr4488h>yN5P>AA@vX8_2||7BmzIX`
zkas%%sX!eG>;-~KNxxN~AcDU1^DY6t`uh5F{3b(XZ{kc)ni^cKB_+RgBSFm9sTejp
zD)3PD6gYoY2jxx)3t=4!1pni1^a-IsqW8L6ptvU7_eoj9f2YEnb7{1jKONZn>ZOHU
zwV*(?kL^}94SqI$&Hj9o0d}tkL_?oyL(4fq|5MR)c=N4xsj!;~BX4uFCU|i0h03er
zNnpUqS}xUSdwrP9DB=j(kB5k31h1rG29WQuZ|3}A03U)Bx(Bm#p~)t7DS?Lx*P}zD
zZ=@PQs^Gzve=P*~7qrvTT9*lSYM1$@PnkenLC32HBSiR5;VR>)2oq}A=Dq3L%%I|M
z+vy!$B>1l1D)j9M0}4b;=HAgP;Pk&+4&G^GSWHS^XcA(;x1AE@8+HOsuQ`mYNrCbD
zfl?byI<&K=oH8B)m@de8qjH)8j0VDk#Azz*yt{s0rPvZ&zbF)c_oYC*`LXatDjAMo
zeS{~6tYFd4EZ`ZD0^x#tryS)7z(1RB<n+r5;yBdkwRg!NzhoJOtJi^}yI1~m-);>D
zpI<24^O*z=7n^xCj%$M4x4VVsu31BOUa^1+BEpY@R|a^5)Zo3(X#3ebYiJPnJd6+D
z;LY!+Czng)A=YErK_%T9NcJY@a`|;(h%J&peJcq~uLiqb`C9|m-yYw4XK|2QJRGmx
zDFn|A2m6mxtRejMQjuJvHmE2tt{Fvhf{v7pR$hk{IP;9p$IEI#V((|%Zk+|zh%KR{
za)USZ5(j;+9@c<CK4MPz+8}Fi)!!g=%@U4EUi3Xsqy{@ZQq`}x-p3?lZaM$HVhJxe
z-*7z?RROiJzRfb92QZ(dLD(Z?2@_=*oh2g*F!9!DiTB6^mgtk@Z*dbq+iTyz%W+v~
zsud|+K{Hs5<hS!dvH(st(i$>a(ok-2sY&wZJmz^*ip?8XkaMjefBL!v7)wj1WDYE1
z)2_>wiTf>pVBUJ~22~8Cx9ssMon68xRa9wGh&fE@PAQ)h6aw$P`Bx%$FJtkhF&&wA
z&7j*&9Y3kc2cvRkPuQr-SWQn)-LEE7uo*UJAf<4@(=b8dhXqU6sXaelv~!z+=RV)A
zLq6<4pj>%4HoS;+LamMDCKKrSbal1IaFr#WeJW08bpf+Eed4CsRbx=%lIMNPTx6X-
z@wemz`vUg8VpaNgn-Qq;xM4iiGps4Qu=E|A^BC@L=f`I{Mv#4FYOMU>Ulz5xt+`HQ
z4m*>%Aa4?B2#JnV@{_U=7S1VO@GWT;Ykyfiit8}|E&ug%tc)M5KAy`xrS3CW)DHs|
z#oPd#6x1g|eY#ndO6NsvUQc5*n|49ITzweMt+~E^xS92=EY9I3c^Z3kQz0otRDUCf
zvt1@e5No%Jao^qdQ<&E7+tGIC_25XcT;VCz>#V1f?mka0PGPZ2vC<AROvrm7YEq?9
ziizbHI0v~+VJoGaDlT43`0=Be`_}VXEb|4Il%3}k#(gAu>&{;cc&2&X=kk#j%!04&
zuFHQ@*uT8zo_r@5kaY3xCss%YR+19K);>6eg{uXPdydk9bO@%JjC-(i(|PZQ4@_gG
zBdKThZ{*MA`x5-M<=-%N!D{2FxoM2}HRLQ>p+SB`nX?=J4{WFAqUE*MGnmslr&7X3
z59XLTO?Kmlu<dXE{=Snli`A?X6p9pRu*2)2k=W*8>{Exc-`1CN7_UOY2~Afjn5UMz
zGmnp8wn}%e(5B}xQQqM@E(sLKv^;r}D|r;Ft~A?kcW4pg$`(<buO>s_WSz`(`xv%(
zi_x||y}_OLTu*&pBf&Wvmt6+TznImnsZ>VA3RZcKUMOQp0(ZkS@vyE*Y*T7wyY-t@
ztR;$8k#>~`SGwbrbt%(Wi@UM4($qR8?CNe6{FMNIL_#0hrO#md_TbIZHn@|rRZa3O
znE(UDrC5g6945N^esxm<2O4cZJeqP<7q)YE`*JtUW7*@^{&ER(q0?e-&XdRR&_p$=
z&Prdz#<sB=dOhbx>HGEzR_(#V5XY*2_046BP0+I9>Lp&p7>;$w{D1@BTHHSAm;W%y
z;;-knT;fNO>w8%GEF3%=`5clYu#PEb@%E3r5=6C2k*<PB2S%^xwAMGUp?8g;I!fvy
zDAZ}!%6nTKX#4%7WSYi-{>s;>ExL=L$oTKa8GYK2lV{%DSIUV>dmk=%eHBM`KCw>Q
z!nHyAO7Z7mcW%`5?RrLwpCk$=R!48q)&}wXO3{Z#yl7o2dzT4K8Y$^6Pbc?kLDY<`
z*s3u<(rpq;=#-a5Z}l%{F6L-~5j)2?+i5|hk+h3_oF<Pdbt2gl!nEKzzGs@hRTznX
z^B1WIQA8DoW1TxawBU$ztY5RS7}9v4A9H+G8A%jyU+z4i1qM5L8OD#q(cLn0C3hz^
zB-Uiiu5d{UvasktB@;<x;lC`R_)#5IH%{c#S7`x<kEBV{gcJ%d4eZi#)<kI;d?!9A
zX+uWLl`l~rWf0dVdy`TjZIs<IlTvVB8(K*o+i0KU(6Rjoz8H7wpwOr)z5W9_;26kQ
z_E=Ovs69S-d4s23{j#In+=7DuPc9WX2W3RKDJtJuLqJQ1Y4-~K@etJec+RC+6~UIe
zzo?Uha(C^Q$Q#s!T8*OM8|LarGukD@Z-IiEy)Vm|<Po9yWbrxI2O8+{9o|*9Ycv#c
zzRYi~iVOyi%4TiVw2*`5Zl=*4IyzsR{T`HPFmpNZ#;1I3#P`d9zv({)>gNtp>Wint
zT%z)YzlJ#E&G$KfDwv6`?0(`?MP-7|3!8j}dOUjXETP|GsD~ar>R(mk)rWHz2Z!hP
z5YUg7loGEGdgz8Rae9Y{A=vKVe&yFfL<xP2>-%K%QBK+(yT9hfa5?gc<8K-nS!Mk8
zA6C#u_3sQO<Kj#q(6)9w=L7}yOZPUXeAGjZM)bkpA#-T?x1YzylZtTeZ7<6d_0W_U
z#fqc^kbmz^s;wjq?F{Hl>KA1qRey<iZ6ixyyrT1*v8SQ$<Hx;c3+PB@eZ23xi4~;U
zt;YNAr=f`pTd2ZQRCIH|?9WemYZzHe-CSo#L$34|CmAUcT6O>V^3^A6h{yD7Y`;*^
zH;YXEpivy^YY(h^zkL(*O0^5W@1>w5RlYXg`<h5a%3?Qr`X+GUXbkJWO-2tLCbPM^
zRZ!*I&x@TeH^C(D_pD|?68imQU?ja?2Kjl0OqAzrf-?b&n~AmrG`V%#?sRQYBt-b~
z&(3obP%Tn=@?G#~`Qjr-PZkH_ryIpNh-?Cl#OM;i{W^$CYKAAQaSRKQ8)<FIum%&^
zugS(+v=E<%;l6^j&#dJv9R*uOYZ%S6j<~F+fqt?gC>)j3Eb9#}H@jg4`Yfq0+sSI^
zC{bNto9!A)G->JP2%8m5b4mF;@K-{OQ%!c77dQcuZc1(S-_UbF;7rsTIW)gz{^8t1
z9@uU$%}?6cQLR7awmmhMMkaa3s%$&>z<~BQ!0Qmeh?3{zK{g5G$jSNsl&JvxAl|c~
zKViYBZN;S*{37UAk+P!%k06BqmptY9(gKt-I(H}E=0ic=TruS?g3#i%chAcY=1>sg
zHz%IUiTd9SPThAGge!j6=IRH{pg?e)``P|Ath?&VPJN~ztVPbA6BjZAom*jqB!_wI
zY3%^dgC7E5a-5u2Z($16#p|N31{0X3vTsCjv;gdVR_j9wH-R$x^CZh%0~p5-nGg#t
z0pObt4+ucUz{i?adZ<~8sb0Anqw|>`w%y`#{UvM+U+U-kI<>1=1%tS6CD-`D&dJbx
z)XfMwVQWL+ogUV3X?cd4J3m}p<aC&<G6a#Cd4{3JFl+2@c@1eFKde_wk6ltXgaqr5
zfPE$7tfJCIr#+|nLB-bNz}7ee_~^LP<GJlLs~uNx%rK81x;;#VCl>YLi>u;m^RsiT
zFrTvRjhq5t==XZW#9JQ@&x4bh*COjF6tv&JDgfmu|1#$<JqQY0&A6$*!s5EPiOg*z
z2yc|Lnh3}BAYt+GUiE=hR{fxeouZf!=-rtg&mLvMf8j4n1I*Z<u?EcvND9M2-J=<9
zflMgdy!TmDG&{6!sV?TT5`i-B%;peICU|CQ_ypH;K$6>xxo4Ird|qyDTD-#mbZJJf
zRGJH7Rq<b2lf|I*)bnI61_K7WxZB)Ma)X3hv}}2RIFyOKy4%n~2VU&PlE+6LXpOiV
z*>h3?$h?&T*MjMQdF0#)Hs*srZ<6*wxFke94Q5Z?*zeCJCwRz}{6NWZFcW$x1&du5
zVyru8a6)-H_uoE2$Z9aj44jgN5VMarL~hWat3Wz;ldv#!*RJ-y*)I!2KAb1c@1nur
zw9T6x-$fwVEHFjmn;e)3xb8Mqq=A3$n>_p}F>rf6eq-pe0*K#<6k6z^LhOy}pA625
z!<c<dg7OX};GQ_6we=PiP8iQH+iyw0u_sQaUK^=^oc)D)k7HDbQ`a*Js+WXYrfT}S
znrhIU;men1Pla<er+)iLOT&($lRno>)!~Z>oA9~qRCpDe)HWY11KvX_2@W0_ATV*J
zVfHi?jHZ2E#b#tdc2R?~<E|#Oyxc*wD58RgxCrH3j696pJ!7~2TMH(bJH!9-(cm0Q
zg_xtS2#dBh&$z5~;H}YF%bgB15RBbgbaqt<I`)1wbIQX(lVKKjRUr+k;$4ak_N%}L
zp0*}8F<nT^H@j`2wxP35!p(3mHJJFCzIZK?0BL~{M;eOhP<gCUBQ8K4me!+IhJO>`
z!>RkF%mW+$9lRu68l?e-OB6>fdoui0|2jIS#)Lofmmj`M)r8_;sV}jq6!=g5R;>uH
z9yDIc^?Lt83)pp3$usp-_^5!}fdutIdPurMs976$B3!$<PSGGO%UIr#VgOh9s&jF_
zbYT0NmN?rs8l0)yy1DuEM!$HvcYK@00TVZ7#jZk!0xq&cbBz)BsLYw{oWa9g`mUc!
zmUNiXADi7wF#)OFFSrGJb)mC2In~^V4l#%32F~P}f?9OM$vqDVFs}P_yZJf|R=-LO
zaH^Zb?iVtH!MlhcK6%ja^?x*IeQFuyaK{4lER&N}TZj-hTJFdDhYGtpPs{YKvcP1$
z`qW2t5-2~tow>A~0#PeAtL%9I6HYq<Nh}g{Iml4;50YS7L^Gm)qo-OeEkEAYApw=!
zKrcXr00E_5uJl)y@IL?m0RR6Cmv=nXe-y@zYm~jS$2G5ud#`<s@3DzQNmj@xM5PoW
z8Knp<zwAOoMUkXPzF#6EBUzadGRxlU=il?kd7ani^PJ~A?>C;2L8NX)DEug7s{L9H
z7~ZINzY{cs5$cqu&=EyAwM}mxEGz?`o~ioyoHT^<HJM6Y=>$0BOwnkIkOK0nXLThB
zhVX$&II5>a0g~mA!N1+&Q18~kek{`vs-j=)zRr_}>LWirJf?)e<(A_^;(bGCY>>_7
zz9I+BD9-K85q>D}_?^CU-Vg>#O4_PaW#Q3t94Shc8&ag)Q-yW+`Zv}J-|3eIyeeDT
zmp`oF*POh{v1$N~mkCk0a6H7$4|SzRFv8p)&!H2~48Tg(-G*0C3W~3}3l{Rw!sNf|
zEwh6LFi_)*{4SFK<C(Homo?Ur9-GPeHxmFM$J2h9)`@}ex~D?};{wvlmZ3xw17Jb_
z=#Y%M2pBHVw|wiKK=ApaWfWn6wR8F*lV1d3>XFcQW4|Hfd2sxJOm75k+oA7lLj=IA
z^8UunnhxZC@zeId|LH@V@R`QQV|>7JUZRFMrU7A&Gc?($*MkD%w+tF5c)%;P^%Y(d
zL&UBZU7z071yn@+7t>uXaCsr)t=Ik$X{H$1`RnL{V90zPwT}a?nf&%BW-Uil;)*U!
zh3UXj4}-_oNml3{k~X)HtU{<c5tmY{sE|}vof>SuAJhr=Q+_YiA%gK&7Nc3I;C8rm
z+-8vpu1nseWS#qt9N#kR%yQ8NMkbLzKgSp#w?NVs3Of-wcWIiIw^|V96*_%X7zZ9|
zqNg%r`;b932je*wEhwmMOI}E#gDpX)j7Q@`i0$PULW6#q@KmGy;EE0{s8p=xrD=>J
zSpvtZ&bMelP+_=CvnUNb?F~`?^n4uYp=l$=XlMYxy%ysk_Z<X#_GpbtnMR)DzQ`};
zs>AA_2!VcZ3#nhu{NdmA50UcSn$6)+hb8k%>}OwZBDq3bUYQp2$d8G}b3wP%KxjPn
z_IBL{Vy@Tr)J}a73HJ7MIZCSrGifU^V{#kFM`x}bQ_?aLeshqd7@-QT?Qdtq>erEy
z=7cK;^i~nkPcy`s9SUUbm?nEaT}QHZ&&#m8ts|P65iapD6i9CvELJUBN1kmLEv%$%
zBKBTcZ?{<}pni@;sDge2=@rmu6kgay4tJ|*7^afJ*QKX$Bx(bp?i6_mY0!X(6{nMf
zJQ-eB-!G?9Hj&8Ik#lcjX@SwD)!n3m1k)U2Cs%m3kOvk^S0DbR16{|+MIJj6B&@c+
zo|4^0_!6GuumBt^yK$7f{G|dbqOz(t&g>vt<Nntj_A^4N%$aILTm{zF<8Idf-bJWc
z&rGqeOpqq=<&VN?W$<HkH;}HQ0qR%lb9bKa1JAjgj`9ymU^y}OnCBxctZXxGro3hW
z8LM0~XD%gZ`2Ny0u9gl?45g}$|6+qoJ?_tmK}0Cay>mfwo*vG{mN1P-a6-Op(yxVK
zMR-`5*!@YD0p7coPV}AOf;j5YH`Y#yaO`7ENZ2bzIR1c@MW>w`eyHugmNZBJuI|wn
zHM-2e9LACx<j4yNg^&NXo+E%@PjxeOWgq0Rl<#Aw<p=l6xMm*?0x%zluB+%_0jL-<
zPHqx_(x^QAT%`i21}0u{n_`0ypBZver67EG)k!jsQ~;XNgn?o{PEcS?*YxcX2EEtg
zCtn^@fD1pw?1XH%Ai?GLxU0Ar;CbpdUmGYu$8OUz$>-c4zc@W1Zy^EdAI|J|HB*3<
ziZSMBL0;IN@2Y4`lLU^ZGlNt=1^8V;Rv*ddgOVS@j~8h1@aq2LuK61UNIU=5s?Jpa
zByCKWouZ^+a`wyw{{aFFJD#pRuPO+Vfzs<@0<zFiE^bs=KmY;NS*0q1FtE0V-}I}J
z0}t^Fq5Xl1FyrU`j>AM0G`W=C>0ecVnGBAQhyWtc{H%>zi4q6m^{M~`Q$<L1)w;d$
zObPnm>jbdONdW1?)9Y(|O0dO$*QHoe1v*_?hJBT#ARxbVC16w;PCN)c;e3$<{320g
z`YU)y?J0eJ?I;O!#@629uad!r^;KARt27XrgK3WM=`}e&E}yT60%b2O{&gtILYwEK
zQie$~80@0Nc~&*(KRBmac1sSfh;<Xu1PVa*q*woab@2EW5JfX24-0ft&U5=z;h6Bt
zLlgR%Q26kH)szAO5_1(hzu2n+uVE4?n?)O}8Wf~6PbdN`7WWVMs=|q<-P`4JRG2K_
znez=Kf_lFfyM>M_T%B3U*f*jJPs&Wrm^mv!G8Nx-wUz>=39VNuI`qL9ms9A@r3~i6
z)eCNn6kvCg-(YqIuwr`owl!WE1kY3D=xE4byR`INL&pHj5B%nK!IYsOU~Y0dPzCgY
z9YzM}3_-p8vIz0DGThsU-iiq!!i3LtF}nP{`eMah%frghrW*F}JV^oGWF?e2DI0-e
z(ns8Uo)U;=)-~*w%K*RmfJ<MT5ln8;1_ym20++OZcqUZ};y)<X{;n{BBMIXVSMMr9
z*^OTd_K!t@zhSOkw802|OQ=salL_#=Z?ONfq5xPcE#8zW-s`WCI#=;R9vtRBZ;Tjo
z0ZW8u`arl5s0W=pMWU61-jcZ8ayDkLM{OEs_vQ(?bx|+eR0i0PsgG*A+sHz&Cfk7)
zL%8goau|uhLpQfta9iSEWVb~Ut#C60wtJzSbC@K|@b&Z8J*!6E-tf7SIbi^YGdp6^
znIyo+>W!)qGKdDMP31rHH-O@8!Np6TM4&L*vM<o}AG+&mPxtTN-g@?DN!`0E2zU2e
z<(u~`p>AK$gIFK{Lx5w?!~gh!*NxBo)ZiLw{h_tz>|X?~x!hr9ZRLUQLq+nmw>Qy@
zhV|yp+xp;!J27Q}aKR4-!krrFZPbtQp#C|ZKFCvwRjQlWz<uGC6>)MK9d&3qhN<hp
z=fm%1=i~OlcLDY%0&F{|hhKk&imNVEG7#O&3mIVRNO~IX^EMhFbl_@hk`7F9yxefp
zq63edrQ#ydZB#QTL(sa83L$?|aglmENLJ&9%|ELx)V`c=zabM9BJ>;o-YZ>0O!vvA
zC3<Y4{2Ck6TGrZNda>{+d-Edld8nz(C~yOf|7z2OWoQA1C_b@m<R9WB^F!wP&2^Mx
z^FT|$tR_sHF1Vga97l>Siyk#8T0=>JX@miDO<2OLR0fX^A;zg%zHb&+QNyfXex-RD
zz{~cp?L%@0^5TBu+t<feQLQ(+QTZ$y;1VnIdiCWOr0Bokosgjwv=^654GB_*$l11g
zh}L<;D~@q~{q72S^$a)-534~+<pp!2JPfsIy5u2$W(AFiwn=$+R1MB?+1#P!`i>g<
z533(Lzk+gJ2+pc**xSD{#(ZOuZuG51ckAh#6||7!tIULvD!gq?AJj-0KvmxK8glNg
zpd;LQWcq3fAf1<gANxLxCLMgsITyEz7Mu$4Up1mY$(eW-uUDh!+RA&yPljt~Us7mE
zK?4~|;|`SMof=1@yB!LT5Y|zty5R=)qhv75{P<&?a|)I5=KinOU;{l_tSQAdM1q?!
zoBBseX3$%sHsRmmH&M|moP+7-N#JoewfLXYEP4%na-NoHd+*=Je!anwKuG_uoi5Wn
z`j;&su>Ru?8ZpblbW2MGUKkY4@%k^If2NFHU$mvcylqbXEk3IZR!8Mu1P?8u>^8OS
zc3!mD;8hjhKlw^v;WB@))@K<Ny6{|U=^-8F>L+5YK1YQ03k$Oj`&Q8_tk!4ars=W9
zf!UEt9U?p_SW!&*x`y6WKE;yZ#eivE$muUiQiMgm)AzTY?&(8m+mDWc342j|_@l)n
z0gTEX$0)wsLX9Zve6y|0SlaK<7k!ol2r(8jS?}IKtpnzsP1f(ny7R4>zLzS1P$P+;
zmqCMFUDfF9Tx7-i-$7VDK>_sGBBvO~_U8V#VYO(-f&B<_|INMU7dL#w7F4b1F&!gy
z%d=~o*zT=qe4C0qQ26|j=5`#G*kkg>;1oCZvOkM?uv!lMK0ij-uQ6i(jUT(1yuyR!
z%?(gbdB{O%w+imGEi*QA@!xCt0zT|VePv<?ha9vFfBzV6y&pRiUcKHOCxG!ac|YlI
zk_DU~O@-VQR_qAHzUTUVLCm4ZdM7qR7W&>a#GU=gj<LR3>|<yU#*jCIf%*}$@RseQ
zdSxjmR_fkf#7q*yp4Mws4F=0X9pR=~gBUk9Z%`4m>?MJ1Gdj}N+?IvNClQMw&v`Ji
zki@8AlO(2WpS<1kSr%Nrk~#+t^I@BFH#jd@<FOK#S01mp<-j!N6WfT00Op-@?%wrj
zX>8R3Ydn2N4#HH*oX8x47<o!M`bn-VmP{S|y`U`*s|rTW`{aeOihU8;8-emzW1x6V
z=K%%C>(mV8@e##F%53@^?Fm?TjkpO(l>qaCPw>*M;uyDjXz;*6BId$-IXP+1-(826
zzpX1tV#K<8r*4}oV+FPtU#^xC_z}YDMsG-A<)6OpTazMTC7hK7?GzR0GoBCS_>0G?
zc>01og~`~1tP`>A)g)l=H3Lz184PXfiXLL1U_)n}9xn+|V4Qy6DW6_h?AA$^+Xg)p
zEV3Zbq%&6)_(Q||dymOu%gzg@x8hZ?#V!@{O-FUe*b)ruY*fJVOt?mpIMguVgx!oA
zI+}1s%&%LUq=<RudFBwD)v!O7-cRs`+7QbjIdwmbh!wy2lv?1Sh8?aUC@OgBK#P0$
z<4ZY8n9uG0mmMN%7%`v5v*xZIoc$O(%==IoTe##ZofV^s-M(f<S}H@}p@RdN*;)l_
zF=#m){vQSV><As$7{Kae-;^4vf>8xcqAcynSnP+C7gawEfGK;J9vxP}oIIlwBp<6_
z4WVOd*#(B6YsTC)P^5wt7@E!Oh!e3&pOBdcjz;k8-2Tw>iYk}}yThducJkOA-`vl7
zy+-h0_L{4@oicVeqBsAnw=`B{tFB5U8pBT2m{1y738Ovb8jBB?z^E>{0!xRDftN8}
zN4i-N+fn}Y`P>yjESD|h@qoE8_!z1+=1>S&&=>ndmlC+KCs&PG5fNixdr$XD>YO|_
zvPHVkP{@pV*IDzt{%!=Dc@9eScV#h4-4CBR+cwd|>OAg>0Y(rITj9)=D~(m2AJ)q=
z9YM=1P>5LD<J=|1AAgFZFjLP8?@(MPf_wTSrZB`1KIzoXgnyO5v;v}(t_aQ}xj$90
zh6Mw-d?#;awo??l--BiNP&bg4?^CJOeg-h_y6_CK5W<|2?(!@|(SQTK9d3>Q%r1rf
zTb$*`0%B&G)~D%!*KGc?s2ji(Nl<UTl?M}X9$%D-#{uI|z|y172s~+}-}If~#5Se3
zWMywMfb*)?x0he_0WKX$EKXp>65B1JbD0@|Iq;p~Mvop?*%)^&lrdq>x^bE9%8a0V
zcP`@5sxBD+_)p%=g&rfsx5bt7GQwSP_c3#EUHJ3p9OZf64ti0sPbL041CX#;a<GjK
z%&{D8ecQZ>W(igOQVU`LEj>$0Qalwl+}A%GjhILISzl)1*crg+W80aTCT&nFZC^P2
zaU8XLnNK0T#KDM++Tb$3HVmia${5-Ap*W)!3vX*2^toY;LOxpHlFrTQ+)#~P=nbDX
z!r=gCJIvCDY67#l{mz%Ha^!<RmwIC>J*@mxP^uHvgc6x6+6UP?k(WK=`9&prbw|8(
zWRwP!&ZeHHFb*T-*9h?OJv}t>Ju)wyQU|8$&T56fe-NG~+VtrTdbk}Nye7A|cdnvx
z-G}XG5YwVjl};WUC_ZOX%5GAFfP{1Ws|9mNzUEv_{zV-4<~&haHdceJ1J?HHOpA!f
z<uB!zmvPXXeKnY=S{0s3cGsvGFC(3mBT<U!43HmwdIH<K%Ne$>wyp%MA|gKwEowa&
z!OV4r#M?-LXv4vT?%R7Dn^Qh=+=dC-@A=-@vZH{FK~{KJ-X;=cQutQPiy4M-mhD$Z
z$sjual!vQ+8=(&NsNZ_L4{nQ}%zGL_2BnLGmhDTs$n{9eE`8h{hdH%K-Q*%eK?wu(
zh!8ErYWd5kB(uV}q-2gsAqgtEynk?+(Luk4`Q&X|b|7R$kFXpe0U_MqWhjOo{#y@R
zJ1x!$bylHU(n~5ppks&eb{yO#l3QI>xZpuLm$JcO6%gt?8E8RegrpY-=9HYc;YIqu
zf^exa6zazwCX_RQ?ARb@NDdEhRt2)%R#1kCaZZtU_WOY6>zu&`BOmxV*R$Szr35eQ
zlk50-SYXiqQt9;serRA4EODhOL6q;$PY)JYp)$}pV@~w|Fu0TCy?Tl8O>UHOag7~Z
zHH|g7cLhO?UZ=x4fe2q7pQxov<^=8C1h?n2!tjD%Im&-zFApe5oj+8~1>5)Y#HdVS
z;8XO7pGlbrE9)`0J~8t^%64?-4ZH++YE)mTl_G+uqU`=5A71FZY|JuuToUT);=`O(
ziEyal%X`Ww9}tNJ*i^O@IF6MV>Ut7kDmm-XZkPbP@C$I^+`)swMMrV-QX)vFn18h;
z3xbooqK(H{84!{47yL$20+}aAx4Ln{K=oz&Br+!pT?yGHLETF5u%pr9%ZdnKjQ@4T
zM9PCBt?gICLS=vtC8r)Sio-{It9pSj0gg{kRC#??0Y+U3t~+TGa9V%gb*NB;PrFps
z=ok_-{3<J0u8@SFU>zTeJq~l(aDoVPGSCat@Rm$V!HmV>4?DBU;A~r%^GSsQZL!Bc
zYvZLsE^C6JOOph6l$H9PstV8aiuN6Fmw~?ns-wMsNI<C!bl>q+gVo2`($iV8aLape
z@XsEX78KC4PgSUcZiW`ip>8=C?vIaDT_(dF^gm~1vL-awU}t_ZC_v!mr>b&e3S7Qj
zN4-<61vHlmJPf1=aQZ{62<k<F?pF$3kNx)YeAML0IB7*VBb<~MY)yfqV;StPC3GSD
zYKgZkjtJK-B>eiZMTX*8$M}&we=AvIYP2XL!bWmal~w>5Buh2v&^QD-s9%1T=_mo`
zrG)}wHVMXA&eD6{1L$E?JH~TE32tE|dq-6jn4skp{bFeVrt7^Bbyo?RGM{97R1?7^
zQHitnuK{$+>V&!Oy<?bAlSCvP0e0WwWOFYVf`j`oWAqpi$hX_>E3?T#(i?nqUY8+I
z(;8Xq$V8y2NZydz(?hMYn49GRBj7KTq2?JWLh>R*TJM|$<om77G;10`pvl?4&UgaE
z3wqvryCn>|+EsJndv&RAgx|eC<-vVffv@E<Kg0^BI@}U8f{5r3=dT3Ffjg&V0@pb%
z==#}3Lmn{%CC^&I?<pDBL0O*_EbIfL?ki^sQw_nVwy*c9lQgJ$zSiy4ql1CB$Ix{B
zy*V{*rLojXLGezgNn+$G@`swkO6@TKmCU|J2Pu+p$k%(5t#}gQ9QyjtdXFoesF9Kn
zZN=eVz&9^Pr#8f16i>6c0TAzX!@Sg41YEQ`C&l+yqY<Q^oS$w2Gz&<d7Pu`4>a+ry
zlI8uV_OV+9fxG}5+bRCH$M}JI=+5;!o@3~@%k?hH#s~l|>3hdnUO4`sPSA;K3f-7#
ziMipe4;#@n&GYiy(8Vc9eb_yNiXI*_uDq=WX7*C?e!QG87r#v%5c-FPAx@7?Kk7o8
zr!ZdoBrB**568Pu{-IN+H3Uyj>wtHdFokA~8RXZJk8Yj*iyCM|q{+$XK#3lUe&YlK
zcqTvURa~D&RUJ)yPI*(|VdmxIhn49e$U(x6<-ipB;=z`}WWF{C>o>%dR@1=2@e_;a
z%sA@v!EVH7O$$0pY_&cj+XzXUbGh~57%HW0&7Xcy3ohNepT~V|9eGWoD;}skf>vI~
z&ysUBVYWakRZnvTsq8;;_;c+LT7Rt9W^zXZ!eWOkeOwlivXTp(iS7O9pM?0+5$+mr
zxpl6^Wn>PySB}%*H~WcN*@YtSzp8`($K^Dgn7@dBl1$q5`F2!XvAFU$SshRn+K##2
zN#y-_e!5X{E4n(AWu%_12DQ>_0fH5O5Ng?HdViXFbn@a3pA?T8D80NrnZ-YfNX2Be
ztbN1KdB)kgl{i&c%gkG2>>oy26B{F+iI$*D+mdN_aH_z1+`yo3=NDqt_}lW~Ru<Z3
z{`}9kXbJ=g^;$Mf^&|4Ua<fAI_mKD$LO~*q0zQ0i&b6NIMTYqXu5I%dBC4v^2g>5e
zAkkRe>gDwlF_gYPJEB~UC|taus>V%*dZMJRZ(A4A-_eSTCRZat*;^@pvPckmIcR7&
zrxRH?>a-(?uR}s7PHB}9NstjKw!g8l1G%`4Hay<^hS)t8JWaf+0**_ZOCyFINSCAi
zlC<}C<ZQXHciVGi*#5+%l}Oitgc^>HQ(Au@Z;x|jYj-KZ6$f{-6#5Q?G=6d`&8QQ}
z@jS|guqc7mu>~<{gAPRcF-!1nLpNgH^4s#W2@&E-Z<yZv(1CpA9J?pz*NZ4#%uc;`
zLlNRxa(NWJIuRk}=(S440p!it&bRbN0+g;i;J;$hg$&#7riZf(A$DJ)-OG3hz!S-r
z)a2BSJk_mfV@)4Me5FUCT0IrOo#WX@$EQD$_7pC&36l||J)2vm>VrH)b;|S*@x92a
zdymzh@Qfkg`A;E;Qy!j{EYynj^dYCZ?%fn-9!GpT>u-MF^9zf&b^}fI1Bjyenc$o9
zlZg1@jaaNz7UBu7k=*59h`xJ=@r^6f2u>x5k*pyL_qg^8PmqU^io{pkMBG1Q>`r7a
zSB?yDsb)D66MiE%4wd0JPR$|n$yOTnoHBqpch1MNjw0*0lz+`L^GHAoXf4M`1Eh72
zdX$bK$vfYst<o2f?TFX+rZ(~LDsJ>*LgF}b_33w`=?lxqeo;ny%@90P7^>2GJe))Z
zQrXf&!&VV7j-9pNYf=!jIT791IgMm8-QYDVTSvD2>0`I9N`a?Z!yOabe@Jo2+$9yt
z79z?}Cz{D51zBC^V#9CFA*1eD@~>ug5R;dt4Ws`_!ca{F4DDY)%+2=m{avMjJBw29
z85Ja<;CdV5<I+WBzKY<~nnMTbXX$1Psw7~waX4xvX&G^p*rXf@!NI#vm-8oGC1B81
zY9~E)6<H{pHqeP=1R>Nu$cIh>F#QAg>YwXKA5U?AT_rP!9Ln2_a}WnFXFFx(V_V1y
zMZT;=n+2+MoG;pxi-FpY)F5r%U1a-mtAX(<8~A&kL>d&u;PtJhvGeS-a5i7gPVyQj
zT+unXz5PZM+<To~`hKE=&}<GZdPQz{m-~%;!Bi9|Kh8{P{f7e`Hs7D>^t|9qur1VG
z76H5rbJw|SMmR_r?HXa>2kSv<qYNqn^~;vFG{2eQgZ-&GABzK!^t)oF@r4Mq(3`pH
zxUqn4vCx(tCImMg-=wSmAOiZYMp?g!vctjhBWwLZqEK^?@!y{X5r|y8$kKj~6LOd@
zZ8WG$fCLM<!p=h!UeX;uepQDXQbe=X@g0&-TbvNw#~}u1(pT~rIe1~N<%2&*3LY-@
zK9v_^5(gXR>6#c0e%MZOO}ueU1|B#}noSZU;3`AtpP$G9IHUJ!AT?1Ass>3JYYdX`
zII%=IE>{RjMfEGWFa_v4w4*X1Dh2Oy6#On}i-Osql$Y~7L|8hibB*;X9-7(3oxkk;
z582&&yDvr=kXT_3R9OZZ@F{GPF_Lh~F!%Diz5Fy14pS_M9L&npp*bRWIKh_Pq})J;
zCtSXZqU8!ucw#j1dy_O&o8k7;@89G3*7>u?@`(_X_Vf9pJF@VR`$)fujv9nUw2E)C
zk-!=~HNDSm?~Yp^v~fGE4i-w8=Ecku7@u>_Y@!grJ*Xr_O+y2OZU`K|YN7_6Z|V5u
zXo%pL^?s{*Km)F;?uh+BHNcj@)7w*~1k#ml)>f*Tz$k-HX$sKZ)5FfNkBtiGKi_S}
z%V>hj`Cs-Ph%T6GAJA}fB*E@rS3kqEz5e)QL1Qrlrk43+Gsj6F5HTrG^hzC4IxxnQ
zs{l4mhgfePBtvaWxSf`U8Wb7Zsm_}l!gA)rIIb`<G-f2QMcPu}_^w;FS&$KEThGrc
z1(D%Mx7z}llLS70-**(9F$RYUl{?w0WN>Bi&Dk%a2z}xwWF%xvVENOZTGMh8biEu%
z+w777ZU&R{p&2GnDj$4|o0SCL`PfGa9!S9Mms76vttP-4Ib1<?Q-*sgS(vDZ008M$
z#@`wfV86<LcGQUoD5tO;V;2h;m}m?L#+pE|afOVd7y-08l?*N&T1CtU2Y$qengFf$
ztgY5(IWV^}4-|j@9W`u8K2-3~82(n><>Wpn15vkpztxm%pfB<dKRmi+1l9UGOb(q=
zko@q=OqnSocDz2rH1D_(94&t$h5Adt+hPYQNstX2p_#&u6dFQ}dUO_x#$NtGJD`G{
z3(I3zWID9p5Gb?ka_rv)poG4>FsqFl8)S_;dB)EGzBgLR(-iZ-0sH=@_)Q+{1k0M9
z!w&$N>`>O~FC6ec00030{|uLTG!$$U#>rT+FJs>gGh;Vq?AskG+C&Li%hrNQ6p9cf
zrHxRL64|npM5WCAN=YaHP(ZK0Ymt&9S&}WXgwMbC-1DC2oO|Bqd482f#KXqrM0^&$
zD_+J1K==$%U$~A3c+UQIs^=9)S&_Xv$0Mykw}&si-**jsxMXtl97P<nm*fWy##lmf
zQ8fDpvw17$43qsfGU8a`kM-qg7Er$R?+xpMF{>{wH~(f$6VcEig5_Uh4lnrk9?l%@
zv}#<s%dABr7IObn*Bv(l;=!ImFXMU^2YvL~*YiY-zcuFeNY@N({V!FTwhgcx-x|hs
zco2~}!1QLFFa@W-%^xFGCt0l>hK8q2h^S;^=xf$y0&0uL=KX1ZS=ohm$j)RU60ao9
zGxbeiCb8FZL%}~*$bgT?$<=wTTWP*{rZMz4{uZacW5YiwOHo_QiMVC+bq^(eW7wDb
z^InN42hwsCGJW<FksfQwJ&|ApMZ$!AeHxrd5v<ScD<dM`%l>croJPQH+p1it$c+<^
z-^C;eh~v*vX+mYPA#^<RGV`40!Jl*aJ9|%yV>CyJkE^U9$Pg9<Jz2b%+*`ViE+v7x
zQ+&MT9vHxRLmTe%5&U@2v2j;zodg~$aUT=0H-N4xnw*lRAb$KaeIe((Brc{Lvi6>0
zz}~=w2QNMgVdQ^}K@&kz$o_pDmt{5s*cqj3HZ}-j<tw)j5B5o;`-b6>1xE&C?^t7f
ztxyF2+u5$(dr}6U4Mb$j2rwYFnqU%eQ51{JY<S$tWs%1`^zH37I`~~IGER*W!;!zY
z>&E8gaMzdlv{Sd~P>h;S--Z#<CN)0Z#7hCI7V1(N5p)oL(fB1kLLAdZ^x5-!6!EM7
z!y#WcI<SqT0b7y;F74kjU-(!FkG5_YYO$q*t$fY0U4bNO8PM34FDj#jgruT9lMXQ!
zvd`5!q_Er7>FJ+CDp;nQ7F)Zzf2E;1OI=t7g)YoY`MHts32V)MQ4cyqIJIz}a+gKC
z+-cObMHQQ##!K78(4k{%k%w5795xToo?5I|!|1e(&08wyU?VV;;i9O3`!7?Bwlm4N
zNBGZC(kvYc+haEENLR#N4gc7sEh!l9ndwuqnE~Bx&&yvVD`C&LXa%1!6%*e{zAb*p
z0I?U1mVrBzQRK*r04_~+bTw&ve_zJ{ZV&sW*2$~j!hgrvY(+J2xyCD+_qhRVs(0X*
z7*WB|sZNe#LmC)R%~6x@WeA4P$M@S+k<gY+_+L$dCi0bW)h&w}K|@RFx`7x~9BDeZ
z@MEJEzB=7}f2qp|_<ba%i0jml?e#0E%r{zi(r$LwNSQHYO`D28SW&|h7C{$s<+bs&
ziO5ms6ccz%9{IhooQyKZKXzH!XrueHhsF}Irf}@UEmiAn6nwb5Wad0W8@)UW2W-O3
z;8Vp**<U>rlrNl!`#GkCn|zZ5w;wQvSXYKYxg!-PZbS<23f96geaAo@PYY1ji!j$O
zrQ*u<@ZP=(O&so2UI??bg#PBu-e*Utc)-S*RfZY}d0~nVNLG+MabLreR~>bopFGpc
zRL79>C+iD-S;3tnLCLZ_>L_=c)H!WOMWU#DeXBjdy&$_Ud;?T$d7I1b+(t(3Qo6V2
zb%0p;)^z`DDmLuPaS&pvp?B!mrT7j2b&u|Z?W=b(iezwP-y&gAN_VQ?3II<MUuXYA
z3SLgm{c(3r8KsC%jy{oQg3<0R($iuT>@wPy;^eG^O{yE6nn_HU)u458d62P!?B@R{
zULF%F_Yi^<nBd*+?Jav*4aJR8Z1~T};O8f)zuxdN;b-uqV0fh}_OIXI!-bMaVhg>!
zX9VEWvb05HGYO@66n>sF6~}2i`?{~S07=pZj1GQPK{~rHg|aA$Ej;Uumy!Tn6cpz6
z|5iq=hmNxz1QGnL|G6+|D}abZk+|lv5=LLyo~uzJh=cr^1@*iDl&!3TT%t<YvVKx=
z^JhM+Tl&h&nP>&y_@A7p+NFRT2gWPQudKy4eqMZyla_FQVRobZ9XZ^)=9c8g7u=}i
z`{fVO)e_#$guRntmqo*oDouWWE)*7%POYi2fZBb9uks?L@$6Mg7v*4195XRFWussL
zI-8HY?Gunf!I{wnjurx*pVZA9j5UYtD!;VNSrV96mhy`nPe4M>zgyV@W<ar*{C4`H
zIL>~llxT}0;MnK)e0rPA;OM&(bv#i-9CSQYyrq(W%QWgHMujO%Na-uxO%%iJvwz<F
zRp!M059&Wv<V~Uay6gU-`=aQ}f5CMpixYF?`V)7ZH-T3RK}{-uMR2P3#_XCzE(FP(
zT$LqbSZ}k};P@^P45|<~S`xPE(}^!dYmOMhThde3!UthAAbBs%CGg-gx1@CEUq+Dq
zC@M4WpfK`Svonr9T8jc}j1x!)jNn4CPja}TF!tT-7K<YAVb6`bwOfA~!cC`L2j*IY
z@N)Bq`-&m_sNIl5W)C%lE^WEC^eaLr`B?Cd=%N7n{-)*!E*pSD*wP6~j1a0_t3Q!)
zM+h4lIA&@u8o&v637Xk8AxybMt5vTQMnN7KJ$+RJSO$xR%pM^;Xl_tal`n$x5AVBh
zuow`i-Bv(R6~=Z&-O#)uQLOf-)kSzS;CgS-m8Mnw+wYW->Yt0D`<cP4eohA1%Uaxx
zY8J+O8r`SY4iK@WjOLoP>W8$}J%ZvOf>9kSJ-+f1=&mtlCm2A7r(!IPi?2oS<mivZ
z)&r9GYBbNdT!{`@AzNR~?G{D7Z+vcc%~Dv@_iioMcYO#K`W$gwNDT8`wp}Y&FM~Iq
zy>q!&st+Succ^Y`6GQCmQY!0^#n`G9j?HoUz<s9E@oo_jyJ80%ejb;{o8lkR?|SKj
zV$8t4_B3$}6;7ziFjmACF2U_rHt56knt>By84@_z!aLh`MhQ0`kE>fS(FgyK%O^5Q
zB{BP$U>7S&87o^)<_xUP<Lvie3-6XfO9i2r=x7z3%Zf-2u+@i`231*kGBW7dLQI!F
zOG3&ki|}G!eQ4OZPps>(EQZD88`CmX@vZPL`JqetzzEu^da6eb6O{RVK3A&YxeMJg
zUd{So^`cVu(dz#?cVV{o+Nv+zYC6qsCr<~3p3wlI5k(A?j21PVq#%Fjv+<T#I+Vy4
zg*v`c!qgp2VK4dBk#nh8V$D1qh(`U{2eXv%E;q$JK}iE0V`yU~XBfb2o&H!Iv6>f^
zZ`S`JYohbQ4}M1t1E{^HE+g+s!a#y?LV>gviu1azU;b_YV%4dQ^2VxodRLM|<)jw2
zO)bbV9vXt2)z#rTaW%}aQ`&jCKpXGJ4EAHX5uD3E$$4)~4gWeY@}ucG$P3CLxyi=B
z!%1&jsUhP!Ss&-V3p(gDqFFtC#RTM9kF;e)QP9v}s<Wb82W!_veEe|76pEyc4OKL$
z_)(hR#+Ryteg4$?_@`zd9>6Z8@REu{qHop~uD*Yv-lNE)-5jX)dn8s<1Le$gkAz;*
z##(C!SH+(ephcbQjLTNXNCj5!c)k{vbND^d8n=Yy@{YKePwIHAp!Rckv?i8Vi`VoI
zSi$#rNu88QbsYY?#dN*21}Z!nf5o;3;OggiAEADAymdn6fMGlpKSdO{pGAN@QdGPB
z_f~Uf&^>C$Ycg8)j%@fW$b=2oWF^5~9VN{QxfRA$Q9?*s=F}!84CV7|_imzMvsMHV
zc}XZ{c3t_!5hlzBZhV_hrQ(`j-ascSqp)j@O+g|P&c9>-{4IcjbiP!WzM+7<hZOhy
zPGUm5(K_cV=gG*kUyN%}To&6oq#q9*XTqAZYPF@AYDlvx__FDpB-Ug}UD@fughf)w
z;NC1%+~}8X&TJv#W=o$a6TMZPpMEpPQb=gz!Ww!{5=9HT=Tg-iK;yPON{j>*oM>(f
zx_ey+c>^zZ{Hg{B(K-{;7N(5bZFwIvGx)Io#)XcaLjddo4VU`%DPdN?)X)ht9xP=z
zO*^RoY$`o)thrtRV;xrl$kCkm<NHCA-W)4fQ^vtp(kh23Gbg4k95|4;_qP=Hf+c*d
zr|^sZk-@hVyTb|v?AVhLWZ|{V5`zD3SW4HIMit}TQE{PcX!Jp7sWjID);+kR-F!(B
zeGiH8owZ+K{Uy3z@tQLSdceVPZvhE(p>C4+wSSpq`g)q<w7og_uutD$ln_zeMy=+U
z(lU$Da$b2V-waBP8ikUB#L##D3qL-OWtO5#ksquv1KAY{7s*}}6*6k1_N-lD6%PAY
z_w6=?xRb919UMeZA@uW0E`B!r$;o+B<)sPS^B2FWa6}lr^E=&*pR-{a^@}G{-2}cw
zYl=4e3E_{1D}t|6*s*~y?h%k`41}q|{r@QnqG8&e*8ykOAl0w0<vzPHY;bsc@Q|ng
zI_KD^j@;nDKZ>4bO~Q=ecvByzmMK5#iC=P%c|*WZhJv=ls3C;NcT#<>^5M9u`1Nc-
zF06hc+UOo&2o?;xlX(h!c-Y0D<!dlEYE-(tQyMgYVOC1*(+|98@u7I?_YWR4&JMnF
z@_+$sSM^N1_mmg40#j`dhV$Z@fnH+jGy|d}cxf-+@M5_IVKR!ukK<`Z8F6t85I;OY
zxwgWKiJBvi@<s*FA??J`Fd_r~NwOOYc=6#1_pW;ltwQ+Xnu=(42_2-vIMlX(=fm7?
z&OCu%!dS;2#4z1NhnA)L9sL*ik+IOO5zi)yAAh_)a%oH-UX$ldPwy7MYTbp4sT46x
zer<~r>H6Tvb)U4sRS+*T-7ntsA>xO)WM$T>pAT3zd<{D$gz}Rdl{^o{F{bYJxxghF
z%oYTFf9ENT#LoUua~Vne<f}9gQA2~gg-;KeL=iOKbEPEhx)l0Uou!?OqrviqbrO7E
zMX+Pz%JMFK8T=43(?oTk0r}$-p+~i%_{xdoS@=U1O(**DEU7fm2+!5;d?<!jJNroi
zmGWra=j?Txmj;T`%CiI(5jnT8@l$Up;yb@uz0Gra;JP)~y{k_ggSzw;`P!AR)Xm$<
zZAuTuCFjn!NlRid{s{FSP{uWjHx#)S^gwY@S={x26!vFl?iJ@C;qx9h<sxAkI0;+}
z$ZnHH7PYEZR!0@jxy-j#7}0<*SI4}zT^1WWZ^iufRm1Ve{-ULaY2d3$>FXVq!~BGi
z1ot~+3=}I_(0NV+dZ*)m85s&#(PpO^G)TeH+=h}?1%0TvZh22rTL}wFilS__)bUiz
zHeJOGeGucQPi2!*Myy$*EOkf&pFi)6JVBuYNqBKfJFf~Bk8_R96>8$Iog1XNTj?O`
zzhCy@s&4tk5$>@zEj*@rY14_Tt6V9%MU29xiuoJdP7e=gW86@d9@`NExUTT~h02mD
z-VDh2J=>{+R@?RuFYhx1mn&V#Y=718joDS6kStxi&-Lf=RJalF^3~cU43m*e+}OjA
z)I(#L9CgbqV=y>3`C;fi1;4MDc}X$#Q08!B7Vj$8zt;Z1zL-bFtm5v=CvEjG{3vPI
zglGo;+{N^4eARKNOikq@Sr0EB%&80UFo&Y~YqJ)d8u%hMn3DQL7dLYUZL(eUA7{nz
zjGWUNs3Y86r`W24!7)D9FZ5YL;!GT=<f{f+R{2<krEBAn!xa_%oB(g){@xE2(!}wO
z;m<dOv~WD^*oEyE0h*$UL-a&7@#%(bqx&{!VDJTltWHiQm`wSPhYxDt#kjb}MO!M8
zy$%^W?PtPF?Ar1@$r|`OSZ%(CM8<u=bY?~s6CytDoVm2BGg!P(wr_-lKY4ih4*X(*
z_2!)`GCS3=4)Pw(lq%!25&Q8wyw>pbQTO8R7%Colk>fNuuYi#Pzjg|VTEl|4Wfmq;
za3-5-7}Y3)kGUe19SPQOMm_7uhT~)`ulU{8IVgdL2k$-0`_6<LZ2L8wUDWWV<@%jg
z9%3l`Udg_&f(gzgr<YtPs`zcPoit(~j8ZA%PAXwc$X+}@e|SO#Pku=M^kae-hjx7Z
z)S|%zS4B;mO^=l^G1G3#0b4FCm=7^s*A4LaijmlGyb{(^u4-M|y9OO<#ZJ7A10V|@
zq3V<?;A6#80Y}a*vz+U-J?+T=`D}726~S`Y!lpJsyFSkn?3-eryKDu1zi6pH>}0Se
z{ZpX(=NVQN)lbu;eYFof;4AK1CxsiM4`g;}PO}c^&5HVqTS7u=X>q8Z1PY0rT1xhr
zWL>E~tjxB{0?N;MW!kUyOo_)}P~|zn;(mGLx#}%*;C}1BLx(7an(uW~Qx?ZrVYJ%b
zYeQzRULm5H=dK72B#KrKk|$V#KOzFZ8JNN0V@g6s?!tI_o01OUzX{gqA;PomiKZZ>
zB%5OxD2TbK4Lf_PCs`{Y^GXU|OrRsC)9bW9Kjy#T_+Gs*#oF{_Al<{r1S%qA+zEGh
zv5PBcQ77sTOFKnpMIzl8^vk2=739}qSbVH{6K$5oIlbO?%e)Z`OlUn<Yv;zU##5VX
z#O7H2gFA+1b{j#@;c|g+<iedhLh{1o7FeHn`IY&a4Pids_4B1~oY<2hzw@BoKh~PH
zKP=)c4B<tWf+2~{i8rk|lsnUwS&z@{GH|Id0FvR!d`blY7t<pu$fwxQzWB}iQ<?^_
zWRkq?n>zt7`i7c%y=BJ)lHM84A_f${K67_Sn}FcxEObGY18I+{jK6CzV8{KE7#%VJ
zzeT_Ls+zLOgNC0wRUgpdNgqLS*_wcR3O5p$h+H^WK2PX2qXVZuTj<g$0=DJaSFJDS
zMwNe-{lrFnC_8UgqV<D-4Ta0^qI}olIZKO=e^$9baASwdz&=jYkJNwS&)~yb1}oQY
z{-r_k=~S0?0WOS>^!miECV<_9{W~nuXz-s^u<5^cE<D5bK>M7r5VE;<@(38y;IQu<
z>xvp~w7(n@%XlJ;&HVvd+xzt3(L{)3`YRsP5EZ&EJt~3=hWydHFX}<n-mAovskP|w
zh)Hari(#Tu3^~hM59;C=k{@jNP{>=h%_@zETO-n3=N5Fq_Tc-}wx|5KPfJ_ZSwsRK
z860NH#OT6}X_I38U4p2g?W(d=B#B9PgtiQc>cZJ#%7FvI!iY(qLWTB7<DtS*|AA^9
zxR=Y_)wfmz>$j_#Z8Vm}KfBtA?+@vK5N|k1SVk0g3NRngY4Z5zaYAO9xenar;Yt#-
z7DFG$<qdpW6*1su*>tCp4iudZ2_(c5@wgry*!Efp<r;jHM-_BnC2m;#_ZM-jDE{gu
zHm8i;Yahz|GSPt&wYG-Z9g^sBu6b*c842ai>@}tx)q$F@10D1qQuxg?D}V5kDv~yC
zs0-}S0n)ak^)FInFt2gn&!^LB7*?C~Hrrhn{&4J1jPj7fSKK0&^?nqTKBhL7$gKxG
z?3BP!rUH7MTmQH9D-}(CCxxX)>Osgw?|~U5C2TXFeiy!513QU|Qu<sp$T63zw$fI{
zPX}jCF8667z50&V(Q+C%96yz5zfJ|=kY<gxn>Gr)ne#OY*N3^t-q;mi5*B_O{$cP^
z2b;7<|8;xOVP6^XLqw7)S~^+Hf8f!>#M>cD{CgQdUy#t1c%X)U!uX*(OAoKgjh;Ju
z$pGa121VRIka1JebtQR88dAICKEL>22xX4$>XXwHoZTy0^yV-P!z=cDDKs&LfsGqt
zsyNg!PIk&nJeP*Q%DsI39-4q1{kBZsvO2~m?$U2AprIsbWSfPB8FZLkQepIJVBMkC
z;O~(%1Q%L&?mKg^6d1MixS@&e8+G|bC1}XF(nCG$x!Sk=&iQWD(!#^JQf`4K^pKTl
zb<wle3T`(N#-3l$!mF|iV`p4+QJ^89xAzV}tXR{l>?c|{J9gWk(nT8yuwtaKjtS8o
z!}dufTKMM8r&j@7n)o>WsG8C{CJ01x$cXuC;ce&9UZZd-&ZwQ<_S4)N<noM~7rtwv
zZTA`3x2T3&GHurKU$ln9+E+@*TAH|J@UYGBf(pvd7>DGeHF(ELTZCC_VE1tBiyP)j
z_)W9je@CY^e7^DTmbbP#&QUsPEeu)I>)B2uyt9VbEnK4)|4^`;XCcRElLSt5yI7Q$
zTEpfdjS7d`Wc;#5b4<2P1V?XCwoZpzgI-fwyPSy{#=0z8E?4v6$flr}$9mS#YPI7h
zsh)(wZ0yFBUkErydZqQXhY7KVDo@Qgs^Bc)M0cwCGHZOwCY3#!31T5>^U$Y+-0{`P
zO?UpVrrp|4ZkA+%kBfHI?r{Yi(jCd4SsrHX6kM?nC<U+)(qKF?kwe1=GCm?EpIN4(
zyTXn#0V22hBwWsyMz4?|?~4s}EX%YEibb&%)D7^P^O;E^k->`2eS60$uFrTUZ8g6-
zZzj$iUm)V+cVFet-hE}oZL{TR)QSZVY!nvm4~pVH-aAd_ue`U?$Um}~sb>M=8}O(Z
zn+RsVSBX&@YPD*=)M2C-U=CLcep5GH5X2&y@21H5R;y<Z*1jyrF@wQ?G!O3(KAdYm
zW~cG)y%p!*do_*yrjRVqMinXI!8hM^)*JdYSmn>y7hh911t&KL-%(vI+}#?*3}*Y!
zs?(2dJ9X3qw&!JipJgK;H8*1W-sdG&U)tBrmDU@>GeP0ZzY=Rui(S?zg!?ATr{<~3
z4FzLp{qHp`JBSUFFTeOJVp7Z6mb+UZ{<snBShup?bAE|+%RpoIJI+Sd<9eT2gC0Xr
z^t5d>O;}`=g}QF~bgi8=sd(<&DKG@b?@qQG56`pK8~MgMyy#{{-fBH#QEUJPx?5ZB
zR{mwx?Txi+|NE7dx+|yLLdpO-u1yK4Z=7XG+w=yWm;KK2Onq$TeU1T?`n;DR<QdjQ
zcV~V!<{+zb>)cEn8v~BBZR;Fb|A+Mi?;aaHIL!KWH`poZI2{U<qDwGmnpJpK_NqhC
zFV>^+6a$YreHfnY6`5pAvntj{xjM{@vv`c9@&_XI;oX<c|MV88SVN(H3Q;AKEb|zS
zDxnn`=+>oP9h;b9o&FoUd@*>MMLI3Hr#W%8w+9qY+lWoG$d8Wi%w^87<T6;v!bBSU
zd1RnH>%F?CKULPK^_R82by)6wt{xOh91!#CoMw4v<}U@%=UH;uD@tpO^k98PyjlE_
zKdgSGuRcm{i!4Gdi?JnB7q$w^NOc*`ur^)JshhmJ#Nw$u`Rv$x9e5cyE_qmGmUSwI
z&y^_1hAPf-niqI=;Bw8K{?7(~S;G1bNrrpakyGXUvpZX~A;0SkOYg`WYovy=%<ugg
zycBIl`H-dsrxW*4{&mf>946)8cdzyWn%}zE9fO+ib2K@8OVA?Acc3zhkCzMUzdSnU
zY^e!hOAQb1=`69f>^9w8{)HQN=)Q^6&ei~)F9$S~Nh>T_v1qN@PixVA{GydPmj--l
zYdUc~pAEGh*cU`{^5f{!>}a-db(rZEo(}C|$KPXR5(j+*@uotczQiOI(hD+L{nR<I
ztdqECazYpnu5^IKQ7U|#ad4f^Bw%8I=th_CBKUBjeA1gh1@gPj#$o+c-qw6~!zM@!
zl{Rr*zHy5JA-VMqJ14nO`a20*rNr^LaF*3NI|@uSeM(7K)z`$#N*@`Oz|SHy>ih~B
zp8epyL73u0*z)6i?2r_WrKoe}zahidhL0SXW`bC@r`RJ}L>4oR^2O8g$WT6@wk>;=
zXHR|p>Rh;A9{+`1wTnt8L!Rw}i!o0{aQ>tpSNyah-qbp_H93b2>BW!KPZ^5g7omWk
z$*#&+o|8Nn(?Eva?YpDO+KHGO+tt+Hs)D{7jRT8CDe%j&&v_zM0tLgRUyS*yq8+<d
z3&$x6r0;8H{)>>puZ2#vBqAB3-xxmEm8Zhi*!)DT1R3l}^ULAxq2QIzsk%`kRG5p|
z5$RMVhu@q+*Y#Gb<L>sXA8ixrQ2i$V%vm8tH0T+xamm-j8<HM-GmJDL_+hk6aJ>?q
z-%U@_y{(P4CoSa<yw(C^59MhNX%)Qd8&=h@%6&U_Klo9frvp;u^!dxjN$3>5{eIvZ
zJ$xb6(NG(t2Qs^EMiYls(edi1sI}EJ<P4D7_@|NvF?CP9oOhG)ke6FR+7*4IT8FyE
zY0;tU=J>&yPZT6uWN`l5O2@iyf-8#c47gsEF->(;$J-$zv4Y>|IML&FOFiEZHl@4_
zXRFabTUXK^Nh=0s1a>`Jxn&H*qWz9mf?BxMLw@sP4+hqg@9ABuHibL;3SFD5v~e_S
zfh?fMKqrp`O~*cS(0v@ZZ^1?fOQGh~!UH-sHVFjl^ICz!*z8kFAzeI1D6u*IRUfbB
zPh`7a0iYHTlZ7&LQBF~$<MvY;HmQj=iJoUd-kad`_BLJQKk}c4;$}TuDHV+@-e(Ou
z=eT_Sd!~ygh|h9(&9yOlFW2c-WgB=Dx2ryByDmO<^Rqgbq>kyqE;3&CZQ#W}0=+Cv
z2lMPx>yPBC;jNv&YQ}`u!O6-I&XDukm{izz-~5>}h7C@2D%q?9C*jC5d(5@)j^)9U
zp>MMIKL7v#|Nj)1cRbbq7su_r_rB)6*Iw5ipJP*s5~U~^*+pbDR1^`3Bo#^uiL#22
z`!3ldGg%QbvMK9p{QUkskN4yKc%1Wio#*RyqFf#9ysb>3_|Lc8N2PM84CkM)*vNyr
zbI)g7Bbvfm`Q=TtLquJ~Yu$z)S<v;Fi`prZCh%9h-awj2K#^Not>VFy$V+D-BstCm
zPM76AtHxxIWO5O?-*=IGY$~+ssIUoqx)7@nWh;d!e6k#bSfVl0zce_(XU4!ueST-j
zT>@q5@46oynZeFKos={bHiq4qINu;<97;Q}d(VAr4cj7AP%x($L2P?~sDF?!O4??;
z+3&K8<<lAKRI?aC?jOz{bIby0uKixT>Leu?EsZaw#{dL``=_@J@*ubN1(v^`slnCc
z#)=Xh0Nb5_hrCmqsCDIaK>8vLls_{vD&WGP#6DnS_%s{(+U#p#no0|Yj=8+2k}?Fj
z;>Kr~HzQJcB-mEbM++uz<E)+<7(j~W9oOX<8uYz)j~LlO3k^;xou;n(P#JgH*ME=#
zEwa|N>!s0xID_p-!hJp1nU_{L>AyvmT#}&>Fs6l-s>Js323-glv;X2YwMrJxSxN{V
zrU6uB!kkC13qDgB3ax}W@{8NOAps#Y@TIu6&%j0p{za+XZu#<yY%3@{7RE;dvJz2u
zxH7fj5A7Yb&CL#S^9O;9#;??{ShzKuwW<Zsd@$-acA0#~LQVfiG&K~NG}VXNXo0;@
zdCk?KR!siWWMhpBHAH*jZ>kh)Le@_PGx?@L>`7hXc$7UgsLKntg$ihb_fhD~UmC}l
zZZlW8d+xuV-hEAfTLXN3b)02FX0TY@es9(^YIt6OE#<6{K%Gm@vOQq|lWNGYY@DWs
zg_+<jf<Fnm;v;vBa+k5f1E=1;JV^sy#^0`ZPOF27pPFC6<SKS#&oU@=fd*ulSW*sp
zsY8yPLDLZ18dldua7%ne3upgY5o_nvK>kC*@mAsncFlPF#e*AkP=hf=)m>5pU4t~I
zcKt0Z;t$>LrW^FYlP{@vlv)j#{gWDVk8Wc|^hFYPav1;|9=ZfRR0VO>^qQQ&T`VR*
z?5y(|Bg}TkFQ_Z1f;V+ajgu_}2=)b03tnJ`<nT9<WeqA2p6@JS97G8vr~6vIakB#D
zlFTUqFBSMceqyomB^A&$Ds}vvWCKI3=*;`9Dj=OYWH&!W4ND7uq(Uxnz}=vGW90$L
zkaDiNX$_-=(TX*ipd?P%$P)Z?zf%dmZ~aSJeMblG{%vn}8@Yh_L5;evp%PTi7ERIU
zF+hZoV%;}U9(bP{iz!zqLYMEGa{CEJFz)nLe4oS%`EgXitC%8ukQz%Aea8%y!L%p=
z&ky20=ew!<6u>el!y_w`73QL`O8uV#u*baaJrkh-m0z+;RX?yplkQ3GCzV3574YQg
zMI8koFHPqrZ*zdmklSnLPa?p!cW$$aK>=QlpX2w^;DVi*YI>S!G5GJFj;+q3JbazB
zPSlOzhS1@t!rlyVD9?R(v1Y$6!jY4kw#ozX6wWt;h9n@4|I~Igs{*(x4ic8G@PXw}
z8rN54DG2VdU(>Tz0BZHqSFcD2z}x%7zZD)y1HZCQ+rM`T5Orj#TlTjgm?e8udUE2y
z7IodyHc*6DCJ*^<HVA|EXUXNG=>)i*S>-vkp$L;h1MK0AqF^knUQ|Vrg~AsO9SYM*
zV5aPK#AXTyugCmiq`u3+JbrbX$e;oeui2R7I3-|q;RfC9%L>q*G_GM(r2+vhGodH+
zB!Pk<?w^Q|5@eq#vaL!~g&$9Ihj{~};L5#M`S3;=90q%hZ^o!W*tC94aDg=JIZj67
zlT_f?EiIecY;|b1qo{g1Cj;zlVyAv;tAaUut#|eW2?*^D&c*TsC}D8T)U8tm>9Mna
z`z$p<g^Dhu$BhUJbVD(UN@_rPiZSSLn-<ItB*_r&$pRu}i9GdH0}{C_V9-wos$UY*
zR$j<~OYJr3zx(@8diCo+25~*GaNyLOek>0eUE8h8=4ybaGGpQ&)(8CM6p2V51>o(f
zWpNo$g;71zbu7&gs2#X1Zm=jq^@Q*6fRZX)n2$duBMA^xDSItEOc8peqCTH8R{^PA
z74xzgfQ=k~`-^#sKxG>D?T@t*ToWT@%cL8DXXoz3xim%KU7=mEDw2mCzTb4Y>c${4
ze=5DyToHP(?BH|lMDS<4I{x{MG5GPdT3MGVfC)|Ry8jm$xH6-k`H9j5?u|YQDxZ*t
z=U4LwYVssu_JzZT7Lo}V@|pf<8<qppRO|2K+Bito6W&=jGl6||<yhp(!Y#4A<S-vW
z5D48nG_GX=QQ7yshzE$kSX)ss!OR1_zI8-LHWO$xz0V-lfrr%zxi=~o*kHo%s(Wvn
zF@(N4bz#z22HsNqd=$G$3!jj&9orRS_##KS+5AQdE(CLrPTkzWeyVm}PZrwuwVvq>
zU2aK8F4k?By|#=U(VpgsEHVPY8>vBeZis_)6`5s=b_8o$6SwdHBe=kA92d7L3gFs8
zTTm8)m7hz}7HI=0A7XS5r5A>OXEaPTY5T}(!B$#hCjg=tcPrLS1YkvB@5DIA1iAUo
zltEQ92HTWc;|qnnAaV^aQNBAv-XS}F^_wz;hYWez2Q9h5zq-bap>Cd>Dp+dj%xDN7
z-JF+>@o>W31L7=nor`1_E{%v_RReI(FQVU)Vgvk+H9uywL|!i5R3*6R!|9}`%ELF9
z;C|MXg|ECz<e`$pJC7gg!J>|u;GhmYWOMzO!Ns{q9$*fUuk6%?WJ4yG;)660uZ=PW
zeCNskSW=4}cyvKGOfN#Zh!RBO)2ti4XUU!iiq6P6>p-1MnYqfBT}*YpYsyM_hAb;(
z={WsH8$8JGLT(mqVZCgLm1RFB$uUClw#F3N&{JOOnJ>1E2|bh)O1v^bzP$VF`JAH`
zyj&_}@uv8T>Bv7=sUnP#Z%@-ccwV6io);c2Qyy5xMqYS~(07iIJ3kei6BW?}l9tf@
zmeF}kE>+lSJ#LU}`21ch@s<WCqz>Fj?wY}BKXxhIkM1KoiiS8OERmqGA%xZ4VG{GE
zdmntKv75|dT97DmmIS?Cm3eC?$FTvAi58xt9ptZSzSVDf)uH`QjAdTOD7KbA;FDs~
zOir-mxXE)^9V(bR*T#+xV}~hHSzmj7C0q8ZQIML|;4<;oRCaMcwoy$fE6!6x78_u;
z{$r&EQq@iO0&~A(OGj5u*yxmzU%VmB3bv_&@rL!m9`PPbiTgjbZ?-vPL&Ol6Yq!sp
zu)gmNEL~WuhKZ}9VKliV%!3#{tOAU(Tbj3=IxvNv3uEz2DVVHgReOk!3TWXv1@6<e
zW7@QIytlIQuwRK9m0bUn;pf<H`GL6>j5VM?kX^qN8(kays3EKj_@bw>*~go)ufH2h
zPY!>?-f=yPSFlh5&o}NFE80z1K~yozNj$>Zug|x%@AE=Q;~ld~R3k=xhf}58wifGr
zLjU0ZJhzu%8O)V$#0+bVC<MdnvDXLX&R&_@=Y-kzn=08x%p+fbFEPIfn@aset*;~x
z4}@Rv<%cw42kDlHTZ^sO*49Kc&m}p?Ip@N7nzac#z;$quORfX!cyLC39Ld5Q&7g<b
zpC;^MxXr}MQYTh0zv&XgDGMs?M+23ZTQCQXJC}vJy0M3yxVm5Gi13xU?v4C~R_x-4
zW50ZNFGl7&Bh!NjFf%*)@)}<|77!;`xVPDdX_QajHo_60()@#_5oHIK<CV`;VLgBe
zh&d>*MdD%BlakOY)QRCQ=AP;49Kv4CtGvU_$iOor+3E_%F3gYmQJnex5$ulB8k6%e
z8HiA8)Kx~^Snx^XtgjZoFxRofPj73bA*SMf64jAjjEb*jZ*X=DTa3Onv#Ti$w^?7X
z#jy8bPe#~ndMYNcRgbHYI&Y=mBVOGkYwrh!;}X6RRXT|+{pGuDEh`0*$qqd2GJ}||
z!SQgNU(=W$XOcc~pQCaICU+HLhOtLyUf6Y5%wn=3Hjl}2lAypba;TnX6dQ8Fm}=(d
zvH2|FbcSLHND~yQu8#eM-C_!v;Pzj_e#d_u*w&SRA8B{r67b_#czE5-D@-fc?XX#?
zCynAD#3z`HUzosFj_*NO_bRsOENnIIC=P5ADbMXECo%r!zqOOC|FGiae&sL2IFRq8
zd@#U0gL&GqX2@@^V_R4L30kn@Ag}K8_ls9&vCx;V6pTH$FiM~IPopixz+FiEWE6e@
z6L<Vp(8{xesXJu+t&bIju1uhO7{7$s9``QhqN4x>%7qTkZV?d8%=IHGtzacC_5Kz4
zlt4UnvT;gA1mY*DFQ46B#jLMnMf|u*4O-W#L}zab!#%oR(GuJLFnQS?E5Dnx5c2Ia
zo$0g?$O=5_?^N5sKE#%~E`Fki$39e@+m1pYTxNGRAZH6R3SVvU(q;nVOoIdNKLjCk
zz~N82^A6_Y=!OegXMvmr;)IBYAY5-Z(C${I086_PM+r&}ko4%rDN_l;E#7Q8>j6sG
z7;Vr!R>TRvy^2S1B?2%@b;RXG2{oLz{I4%2fg7~AF-PVw0pJ}syPo%n76$HxitA?Z
z!i_TmHg(4Zz>n#?emVsM<V;!q#ZT}<LJ?>1p1lAJ`;aIJH<`ft2q(9urx1`I8ea+7
z|EGfZ=&++1D^RKQA3ZHE3UQ6C$ME$6P+cmv_)V4r=s9l*eG(FfK)sKVw=D$W%JZC|
z<Ncg)m89-RQzrp#wS(F9bV8t$|6;17j2k9KE=BvKO2N`y$`w%#VaRGSX+J>bg>ZYi
z7=!yV(45C`knW-g@HidGciHBLyfe+pV<iOmqyCr>VIT&5D<u~O&I`e}rzOE&JF=i~
zP>CR5A`UI*t9Nz;MB(H46IE3H3LwWDzo5IX&tcxEBHnErc>i0<civWlBUMdr?_QDu
z#V<Eb?A(<A{?Q?#f9HNKXDcKh%aDPZbJJEv8d5-F+4;~fs|JT(s6SB9Btnnxx{KGk
zG*rLhUcMip4n9Y;y|=98VWHf)#IhX^x=y*uU9}{*@!LZpa!v_;z1#csu#^b8pG*`x
z|7ZYJoAHaX1Xbv|+g1{pDF-S4<%SOa(u6~GkN1AgslywU*TE4{3V?fZyKOf`3j)Hl
zr3Df-0hdAYBpy=&<BnM7lZ#qVFxFXA;;jQOqkc}N?kU5W&&p<s!&<P;x@SS>s}KK~
z)RshlRDt%J#&$`EwP5$Qo1occ3|yJ!Za+Gt3fJ*B#UgYyVP=5O&{*FHx@h(MJ4;l-
z$1OuCGK&N-W#Ile%NSH#UztVxQiYv&a~2+n`*S!PH84A90@E`W!VdSS0`8rW44tqF
zn5T!#7!R2Oq1fRTZ>%afP2n7D8|5Gp%PgWyGXrZH4;+zF73zs@FDY>{pl|v9@?j=(
zxbgIdrKyn$i1nQmdrFT3v4V$Bf=K2t(Wk-4{z3^xl;3}pxxfR%6yXnKMa|)=D&L}1
zumTL51;+-zqlKQhc|W#qX7Igl>;fa392{GH>^8hRj@=b#Lu3atIDFtjF3)WOlwV7D
z9k#YiZqGeF&i2_9hzf5%3(iY}&o=$tvlcXHw(XhO3qe!3>LE;X{J13iIbPKAi<cEC
zd*4RVJ|^((?9IU1Y#i9%V8RLZbE3uC+g%$UjUj?_HJ$345HMdOX!Ppvpt+8p4Tso_
zVa+;?;yuO(Kl6fHefoJ(y;FD3c^@OF`SM%x(H<xG@>hDA{o+FxT0D1UI{=Q>pM4cU
zV1eP9FI&7J{HU|b$zcCVht|03j6(m>z~!8A3c+%IlquF~FLMb4BZiIZ(hJ+zw;{Js
z;TnFlO{y8abIlM+w|^Go6PGcljxv~g#*fzgzn@b`GXQNH{m&&91DKRT_uD-`el##^
z^DLlN9}vUif-JuVayD=I6>&9wlyPd?qHISGj$FjVYkp3WJ1TL70-JouOp`i1&`b|J
z6vO{Dv#ydGwvI+wHu0g2zpq>mJ=O)x!=^@Xe3M*p_wa2(9v{-m{IDsup#vvcLo0k}
zC=icFS;xD_d?+?5dS%f?2ZR-VF&4K_p?7)NiSM8Dp&5L5z*d(wn2)W@4IZUMP9E<S
z6v=$(SVbT6t3%pQ<RCkq@sb`z2Hsn8UE@P<DSqfjbZEitjhu6R&5X#jV<;SN!H?=t
zYp2#JEpW9-O-OBLMp5mL33J8#$ei*|+lzTkD1JL`AX34K+}TelPihLF9Jf2eZ(=mT
zks*D3;vPH7TXp)v_gw(_Oa}X(kky2kA;q5l0uH2m+4h7}q9EGMH#qaPO9Lpx{BjQ`
za-#1ypRb3x3ZW9QJC@@6`Or4-iC$bF7s9jC;CO9>(aZBL(nSUu;5b_Nd()m9NiZcf
z*Blc;)#cQV&3hy;aeEnGYsiCYU+^tVTogsW+|Dn5Z{DxJ3L-Qq@}iIHEji!v#L$uC
zjmg8$NKlh2NBKsY4<%{`AAk4{hx`M_?5eJj;PSLqTB9^S%6{v5o~}R~iQP(YD?3L5
zqeotAn6d!MKiCj`+EW6VPbqbboFst_gQC~0sUQj~IyX5XFNsoq7*{Op*OwctZ#kb6
zLStM1#a-BtM2T-A?mzJ)!L8J($iWA~=y~U;O+t$lieWvq^86+V%FE{d+P8_I&S&jc
zFK0`ma}58{)VwCax0MW97cMb$@k~YuZ-fkDDHnoQqa@g_ewHZXibGy9f7!mDz@z2h
z!$&so8W2fUtyknMjt1gWpVg`m5Ghb*SMQnzWb!Dk<JlyTSkc_|ASxnq#%8vg$2DMO
z)>QxKX9*-}G@;4ZOhn$sIdk<VHQ{LRyQ#WMl1OhPiW`fPMc1kudg;eB!Hq|Gvqe@4
z{nU;)5GpH&E{)w=U<%g)!z^5g`=Au!a(d_5S1yMbjHGIQiD^UiV`7Nq9ce_9cx30i
ztUT(cXAza!*Jqy(9>1(8gQ%~p5q-kt(TCd=vm^I)pvt-ELUxl3qRdfOKAbI&dL&Dd
zGfwD&`GDq!8~c3{W}oUB?$`TUvfWPL^&m;-NM(8-9<4{@1)GG(BgU5JIf-j}@Nlv~
zO~90Z)S{MBl7-}v&$Y8bPIdZ_;ZnniJtd%tcj`F}iE_yB>;dlw_YB}=LqccX00Ct@
zU~%K<lSQp}<tUa88G^0t@stx3M8rw?`+(sp5n;h}@6GoNVJ@91VStH<dIe7>RZSC6
z+Y2h%%1jKrT!h%2HVLShl1KjRCp>DKDaj7u0qEQ$%v7}ykTVOJNhM4Msa9@DrX2#{
zAG11;6iGnMwcjtTic2Hh39dWe!U2Mh<s2j82*~8MNI)-H5(V-934ELeAnimE8=Q?t
zEWR!qi%t@#%;snCuh;v0i(Js#;>4pPR+J?zdpN}HGTX3K2(Uo;T(sC<2F*OMa~C)x
ziUc+v+)I81@HbSzd+eh$dUMQ0&|zE%$;Cvz%SZxnIFfpUc1sFr=shfW_fP;SX$74(
z4Fae&H+q<%Duw)SxMy`;<wJ(!YO`$z0e1Zu<AmHL(fw41Wa<naq?(g*AVCB`V<arM
zCPe}rJl}T8euE2bB^4%Qw_%Vt+rSc6FOJH>6yC4j<3x|c&%P`>j)A1VwEc+<9CDey
zrk;F;1Cb&v#~=3_!oNrc(X|U==q7>B-}D<B>ZY~8x!D_nRC{pi$hrvX(w(2kvtUK%
zxuRo6S`8pcvZTRgf4`8#A<KMm7PKwo)}LWy01wl{WIIiTQ0(=7JK|AhM3-OpXR%Bl
z4oR|x9AXnhU#u8+*SndJ;iTcoC4xS%30FTAUFJvgb23d@nM{bu&(1UUsUDasKKm-N
zz=s@_ncm00W<poeWmT?n=z(u<V{H{JAJQGUMR9PE32FXE)#4eW3ok8ulz6mx(ZI3^
z-1BBeGWR}>f1}Wa$Zg+{ty?^3XeSU%xmgesUs9puH62(K)rn=B<3=4MyYGtAEJ*a#
zCST3AHUww}RW<u@Bj@Dj4nHPX(Vr!K<G<In;RkNA^FAFn3L{*fNupy%lU^-H*y*)F
zf;n35eZ~IV%}NalWjK)gbV25^WG%3DtYyCw$%UkJy$;R%;6N`2z6a7vYQY;(QCnv>
zF2po<A}uAI6NSq2JNkam1V(dH-Q<&8=(nKa@mm30$ZJ+#soq8t`W_dECwp?Czk8ij
zUygAjW`BW+vkMw<|8H@0e=HXod*)Sp(~1WzG}_AEOV)t1gyVc0hzrRt@iYq9@FLNJ
zit}0e8u06PU04zeHxlhT>9gv=hr0jzwQtXnfMWNhjPriKr|QQR<L>dJ$_3#thL<F`
z-giS&W|SK-UjJBhvPl4K*DlQJxRStmThH{XCl3l(RXg3oCxqtD{Vd}mk^t{2d`Oa-
z7g;tJ<Lp9(Q4e-{U1Cig^me{KQ7Pd?G?~^~tg|90T*>J$ZJRp0w~Kr{5zL3~I#m6l
zz9@z$^Mswf3)T1UmnU(m2l<g*n@{QntvHIEYWl~RrVb%ICI3-q2%y`&2O0&3#L?%~
z({G9s)S)-!+oY_TAbOpi@OZFN0@YE-Kh;iDhbEda_jATVNK8v6<b0MSy6)GY9GRgG
zD6{OBg@-WG`BDG&-90I!c=>lq_(yfPe(`R*>=O}WeTLsd_@*?9wcxzVGNBGELrIg8
zqoRnSjN7XwWPiWU3z|!d?axQ;srEk&9J*ut{Rhz>kAmJhQKx&6AikFR&91dLGVgP&
zb3IEyr+%h$X?!Jt%&q^PanMSj&*n~M6E;MYcA$`WM^yu&Q)xFx_I)Avi5|@Zk}Qfj
zphWYxNCWT!($1YXCDAwQg^LYLa!6eG-TPQ$P59zrzPw>9g?PJ57@gYW&|Ml1SpTgF
zVaEnAerjo?7$UpSxX<T8_Ri0NPqYBzm8g15mPYZ%*GCUgDxjm}obl(UwSgFrJNN98
z48kSd^^*5gK)uyU-3cl>z~^|-mQE6nj5_H{|GZE@)VEGtPh-`E+3N=Bp`Y=n&*<sP
z;&%!NUu(R5X+;;Tk4-n-vL&FIn;epvu?ooFn*!+$>VacwVM^^jhZ9a(lO&WB&_#CP
z;*0zF?bC6h(~2??l{txL*rv;)_@7blEpiNCzVpg8++`vnR&QOD?v+CtC49N>BMjks
zpoMQ|E)iulod20RD2vXxNk%nVV8FB;s;N-E@1yw37c$F;D9_ZWWMmtI(&$_&&i(i4
zqij$1&JmF1xaRD-HNf%TZzM^fMD+c|nA-Z53=&xtqW_ryP-^dcia;bHi=;-&x^QXa
zDfCgA0s(xCa$I+)BA`H{0vqXhNi@<_#`bj#;6q?q&88Xw<u){7Ri`Bo@kAPrz#4#M
z_1`1^lJH1I5dEk2Zr>L)c%!_x03v!HrF<NeL3Z`g=E-Cc)F^SbFnI}Jgw8#gk4FZ{
zho3u1u`P(|)QYuh`vC}Cyh$9GG|HpO^PE1<j~@4QRd|#Gd|o;D>Ai~-T549oKg02&
zz;i;kY3~ADrkXU{xGIT)86hN^iyNt#8H;H-><4ix|B-u-B+!oZ2X!YaP89g;!-rc!
z0JMje&`_y3$|`@4vx;Fyjs=JH$t4(cq!0?eyvCt0N+UbtT^2;yZKI_~#Nfwrj{oT`
zQAAw+14&CvXrkd{Sk@y$_(W#i>2el95iW&RzV?jBi_z^7KeZv0DR7m<_X#0kC9`UF
zDF(D;a8_K;&j3oPUb4#j2qIfb)fP`1di1=cyWYP?A84xzEFbU-p!(YTg;5=JNZ?dq
z^EZ8ckS*FUrQ5$Zo@+m#UQee(X;P=`ta9|A`;;i3b^|Z^l>X0Gpnwh)CcGJVz^Mn<
zq;fubHuE5Rx1TJsYjkL%RgvA~x-RVWU0A*Jha0_5rdak0rbh<Y-`>_m9mvTtNZrD7
zqYur@bs`cB=t#yZ)BA2ZKy{0){`hq+G%<zd@2oQ*m8-gmg9F;I^|pVbd4&_j(YYG`
zUS&ioS;JdP_S%rIKbw8!1}9217h|&KW=20Q53DlvYC)i5Lskrd6P^9~TrbCt1zmRE
z@;-Ay3#?2v16Zdx5RO=OF}0KxC3u~GBssdz|ILv=QVj<>=UxBAO^qGRg^-TL`e_2E
z_$7Ds{XAb=7{0db$$>sii1M`TXh3X{oq>H32Wl&`up*grqC?4IuccBnK&}awzTL!u
zD7XFhj*+-fvi9$vJ<1yJUUX{b)dmM@88QeMP~%4I540$Voh10k-rF;+$B9DfEsA}O
zc~FuB9K8@m0)MrZ=b;Zck?GE$Y=avwy5upKK#wN@N9Y$3+#V+qa&-J&@rV!E2oIig
z98iZb#(#IeMsT6BS3hRiNB9v_)l%!gLv@(We@k@R*CjqmCh~!<AhIjf9p-RU2bI!*
zLWW9iq!Ua0^)FutY5cd-dtX`|mL*uGJ1+5{7u0tc>QzKg{NqQ@C^yw0^HiC^s2ML(
zmWZc4(<+LN;C}Rq^r^xB00030{|uLRJk@U$$L+oMcDeR7?zQ*#SkaHN5*Z~Gk?f=`
zWi=!fNl1f~ok*#BL`%aKQKV9~tRmy*-{*Cn=XGA^b)L`r^XVJ6So75oLzO%FWu3?5
z@tN_7Q{{ABpd5A&3?hr;FN?v-u$v^zcObT2d!P&aJFNr+XcAcIZ|CTnu7JyVX9e2U
z&mUS5%}(x;*n5KW4@Zh3KH5`1<<+1Ip${UG$5N&6Q5WTUL<$*WkDV&D`>YEwJ$AcK
zbxNbOsCXMWT?td}-K(zV&;z6H#qwRcvUr+2o@bD&j7(dmMPAzK!Bp~jv6DCD@W!i~
zcIu@nICWa0J|ja9{Lk;osSqULr94T8ul1_PTG4evepU}!ZzN?W^pdb4D<b9MYc>2;
zy(7mdNFRO&?GX$qQo!Buy3I9j)lu`pr|5<$eQ^EwU|ZuMMLZ%g5+~N6feiuGuR6~e
zz|u_gz?sct+(}Pbeshz84VeqyBP|VKlYkzNCs_%bSCo0Sg=k{y!jR%Jvk|OKD#~u1
zSHgt5i{xPeEp+F9m#f=v1e5=L3vg{v#`~#BZs8ZSP$BIAoA?W3U^VL4QF}@SubyaX
zBM)d{Zsa|&z9%N&XPV1gW~_?U+J9``Eox!@S*+`+H-*ELORu#0Rq<ashX{Pq!o;U}
z^H&?qAWX@vSUE%uSJbw?{c?2u{msQc#+%K7O#QJ?_(cs>t4X~KgPM4<!Zlv%y#-9g
zx84&oRL84+AzH31nrLb}5Gm7S2`-}P-~IQiBZEVW0ON!PavNoD`&~>x^4)N8jRbXM
zdu<ZhoUe`|(p!5DnFEY%0nx=Mb(GmF<?vWZ4GS}eZc1bVOfC#>@gUUEM|HzgQ=$sW
zjsKPG9{@<>>;KU8Qw>F3uLo#-P(qK^Z)-skR<J7kI#@1D4d28rbhdJm(Oc*r7Y|_t
z06{>$zsh{Mb8kCU(Y0YxaG$LL%DM>cZgRJRk)*b27kO0_=k6737nDbjkOT6Xo>ssj
zvX6M-s)E9yG3RR<q;Yd*%C_DASwTm1=gz7KWz2IQ8CSh4fh9c~M`yLI;995`r8iy)
z!zE;$M_NVkgMzxmZ8j_5+L~0ql0?Qw2lt1!+X!RV)S}P!4uDaEBj+9^E8?eaimm{w
zAUY@M`0`}|#CQ~6c1d2}t3zIH1{6NbBYp{<aR-<?{~<L$m4rbKVFs6fa-p+2Lr**x
zKo{O~Vo;LDiC^XA6Gj|(!Q_+6&|v~(7w>qV-5`sqo0?eFgxD}!#ly;>&k_#YPCgNP
zLK>N4o{h$Yu%OlTT~a>AmJq-HK($-DB<kt8$C~LgqwQximoJwrz`(dZgKi~(JSTsw
zwgoVu#oNF_vng{J+>y?e*dm78|JG@7jxyr!9S^Qva5RVCPv4qV92G_P`3vOp&lqu_
zyT+)d*bFqEZrD`0Q3Nwuw%L)p8L=fmD%z9F4D!o+i{cE0@s+W0(_2+0eAS|BFtgtj
zY}y77WLOK~XKjP)@9#6=Ez@b1;Z76Sd*ed|v0o62&UpN-@?pl1G$Yv~gbB!*j&3{m
zPynM<QpZhoS#Z;+J>N*FF?<lqdmJDofK|q#(Y6#;Gzzp3_9Yp^9Y>u|BLjYP!t#=b
zHf*?Z|A6yirV%7Ie!43W!iQ7GE?wSvh#fgc_o)vF8o|U(IIYmeiyP}R%O{#SaC>>d
zyx~Pd_z?V3Kw~d22F3iXeq_XjdK+@&Bt;G37W>i}BQ0L!3hirpPUpt0X}hLNat+{;
zc!o!k951rR3x{Rx;>C}B`&FeW29V#Iz<AM=7xyu?CYmVmqj`LqZ^l!7pq)$Y6p81>
z<gs(EDJKQc>$ZP@gNHtNN(JbMO!6WQtj&$Z3*t@rwp&ML^g!+kuj0p3d>B=EyLZDy
zAzY13yAX3l4<^Dp_l^QT_7%rAR6Y>KA?@oD$(DLx42DP3gapv<)3uJRBO=JYX~{)o
zQWp;0OA)oaDuD5=N5AgX6T^A$3Hfukbzyq<GrJ<1Ai9kA)<|9w$EBAAg5d$Wuzho5
z2HSuje%h_Qn#L)K@mK6kT-0;{5AVq;y&;6Hyp~2?SyEUmF(vVFfd;uw(nBk;!YH$0
zP`A}m2CupNKHTtu2EU#8ssaK;@O0Oa6KZR+c%057|D%EilmfEv#$BSQHx;2{&?}Fp
zpDPH`@@TM!p+!RCuoxzh*&jv>lW<p+Nkmx|4YE$XpHnOnM<;igqL<?eSp9+1JAS=B
z&57lD-lzmpMKdPmRu!>PAw7HO0SzK$#vi5IN@4Rv)bvkjCCuqLoUhVLgXL?q@~73(
zc<$kI6HaSo6x52<E#ub(_Z<I=mrP~xsr5Hj)o>LQdAvjCo0l#ma8rGSy5!KOOWV}v
zhAOUfH{7Ju=&twq@T-><3A-}hgwM9A;r#ff#9lQ$5L7R^ev_ntb)!8AzH92J!5(;A
zv`P<xqfXzOVpGJ=Uj$}E$P~0Nytui^O&=`YmQZ|V6mjo`X5)K?n&>1MHXq1s0B~|h
zK53AQbyvT#zSPyixPE@mg+2oy<(9Ult?Ofvvt^PCzc#Xow@K7D8p6x+(<!`l${4bo
zlvC2Ejd#=haw!e#+*y0~MB=&%a_0WpFKDlWXAj)>ptl(V)rj+rTeK>cT&&|@x~PL6
z9DlY9{5ApF@B)e1R1K3I`4a}Rb&zXoP{k)1Gw@3m_+d7thDPjhZ_oMY;A+&;y(uSi
zSm2_xa<A)u<qS1Kv|SrZi`pUXhy`??qg;KwsE)C$pCW9QwJ>_78Z-+mA!?_YB+q6I
zRE%t@;_cVOfT)zw_!<H>9jNU*eMAG7hsAQ=#8Qws%del;8{ksm5J&L|4b=9z>?hEr
zjz|0dUMqY9;5yo7ud{8PLst?myD_O@q*}}sYgH?l{9<NF;?O|pvnzaxJStfKFF&>?
z!U`0^!kh=rtK(NDseU^~C2SSXxMFt43LYde#Y;`7;VEHmi<)T#<oA=AP-?P*nw~rE
zx75|}pI+$=>o$3u>Q@<1`CtXY?tvr&2UR?L*55^QOd8`gPPV75*9S!%@YC6>g0<hQ
z8@p{J@FYo4-?Z2Yc0}I%&(TU5Pi+5O+%+nK23up!>^W`)(&j&A-Bp#arK3pl<ftH`
z;%DBY8?0bXztw)2m5k>pw**tu`LM}u`rA0O6$pgX%2^C4V8Ll+?&DlssB%%xjI$1a
zCyGy;yMcsaatynaEZNXxfqY>+2%t=iyQ9fT9;ffbw4GF7M%kCijbTFTb2H&#ai_@Q
z;{@U}R}lkF@P~R>#1L>@{#%hgSsML~QjeJ*U!i}g@8wEDOE|KlW#y8wB(@yRojqE$
zL_gUs&`;;KgzUn(;?OX0eDlhGfV258J;^w);+UreY{#2YWiLh1D=Uoc_MJcU<=q9I
zQ@72bf6?U1PHPd&WobK`sP>00@l>m2cFqi(zbtUJeO>3mMe~#i<3DuXxGD<`2Qy%O
z(w<dvTM$_^tKxRzA9}GsO&>$PDKPV?`DmRHK>KqV@aX<uddwEngoZ^E;Pkf+3|8dF
zgqMjY)<zfUV_TZP=6IPv=Q}z5mIz+lw2`QHi2O%q71qrxePRszyXKb9E_356&a)+Z
z^;hUOzl!eSAREIV5uJGSIT!XTvDj8<uF)S|i<+oOGXgG!9<Rf6PUOC=9p-kA0biZZ
zw!u|Hu)IXJJ}}LJLk1Peew~b1#VT@4BiazmGHH}#Hx7)Gh_yT`%#2pqhLy`>1`z!_
zTbubCJL2E9Penm2*mXiC4uTC}m8mN~KA#=yXij@bZLE0A?}$9}m_Do-NIe}&WXH)=
zWs`9icAWM8^k8eGJ_Ou4d(ZDOJE|$2sy_6K14TLa{&8E@gE{A;aOe#??%wp@{oHIW
zR8#)BP3)W=bi6Po2`O=){H`Ls#6TWY-1LIs6-f`Gmt#Y>-QvJ>pQnz+u6!8Jtv+_?
zu`bN!c7%3p;6zI9r|)021+Y%W%dBRbE@;}{*zCc_g()-hM}{^CqQTHoNz^J0?2q3f
zF)eZ7-=i{FyQ75gNS~&qbTJL=L|BCFxp*+FsiB>1ol^`-<@|!)G$@?qpYA4jQTj-D
zS0tAx=AOwr{!)+z9v`DiZ|Cr#%Rl{Gmvs*OR@!s0p_K}3=4Ihw`~qmpG&Z||MFImY
z+E#M2sBrq&<AJar0@yosJNQSjB>uPk#h^eC72dJfRAjaaqSM%3`D>xl=rn7bGD=WE
zpu_29O`8y2Ok&B(-6V@OBBvW9$yBJ^SLs<eB8=~L2H*R%Ngj2YckCz=q(W7hTB?bp
zC>E!(?EF<jLdMjm;e9+*s5w*6Y_L-d|4}Yg)pjf3A&2IQzoJwSv+O=<^IRNBy63d!
z*Z=Wu-ZL!;+EjRS`P-g;b4jd~j2U}wqlEt%9`BO$qC!jW@NvU7Dg4;~(xo&_8A<Q@
z8IE11LM-vRR^x;Wz8$5-r+!z#1%(x{Q$MKC?3{H_e1ja`7jIN_wN}Fd+ba@$n`q!T
z!WOebh=e<iHMp(ZQpdvTC8fo8G*F4?dy&qgfJw56mv*sGu(0c<&sv}^3^!dOQ3Mo`
zr{{{iq@O05oaBCXO-2vQEB$+@(qz2A>bNtYPzyCTZM^ttQV(`<NJ()}l#p%i(1gK9
zZ46z?yg~b-4;?iwu+Ll>ljNG?e17O4sJ6&ijv9c+Nb05?j_dlnEv)`y02SF5UeVLm
zeb-GBi4Hw?RSbJSzk6d171QLeeF<?j2HD`AR~I&`p?QrIpWRO?{*$=de&>z}C}*mq
zrx~duUtPeK#AzxPlrio}<}d>}rcI}&*flVrWhS)xJr#3YR)#yG%;6eeZ@5>T1|kzJ
zcjO2a|2)qeUhcDi7%emQVmk`f95c2tozuavz7eMrrUW>je)D%*5e4hqo~5j1Xrmz0
zaHyd*zySk?kbzzbhVQL8X5XiYqx-gNbN2vP9oeG6@`-{jrq<`%do-}?eP+i_Z!4%A
z|Dms2NWs=A73VEEYG_-@WM1)NUC+~(!}BaD_;YlmVyl4)($cMVCWu=@l?5^8az_L2
znm9VWe@w;*<<O4>o2}vXnaED|FX|}AmJ)rASoaY(6t_z6vxdciyt2RRobpRs%&xgF
zi?=ops*=O3VgJ)t^9TD>u~UlSZN8KwdWMJ!4{Wmr7EVs{jP*P`?9|Jz{9ObMM>dO*
zXx4CP<@xEG`;?J2JN7q8QV_rP{s|NRV+BXw)^3@WQ9}Cbn8!{@+}P92$SPQF1smPY
z8~MFfM7fzDj*HE#m^vHiZt80VyI0rLRbmt{gShtL)Di=R{i$?2#ApS@Zn_$el}VWX
z#$uRDc!?h2(_8Ic0N`*pc+<v4SzH~(rQzmTy6r^Lf$tUoCC@sl1wEya8hHLi^S24Q
zO;;~hT_ph$Cf$WwcqCC*_j8-=!(lo(Cz)I9rzMCmC?u~8iy>RBSV4dJS9&tx^q@o5
z5(wE`#k1>vcZH$+yWhWlda-ZfjORL!>g{79ZAFFA$$`^xJinKI;EvC(tjp#gU&VPa
zEJP4R4`ukXH1yEdM6|qgy3IiRLXb2=8$UMt>u?r)@1?s6UEFwd-T!bd-H^E@!;9p7
zD@VC*_0y#kRIEyZOo8E;sb^X>7e2}^-TTjNkk00s74W{+1ROj#c*ibtVA@S)naqwM
zx_i~oY7dVIgydV!#n-W6d9<!eWbF_7;O6mXPXdi$if-2TOO_Qklyix3jQpbe&5`1K
zUKm02)(376pE6^7Ro$EIUgLD>#T>mHH6yrJu9%W>nF-HW^z1cVnxbDVT>b2qZU_Ul
zW~tlr7?ERur2g>RZ@QO`4P(l(0nFa@QZ)O>fP6h?j|qR7rSIlU>|)q&0C6_XvDeHP
za9hb^<;Jmj`l4CIx2muD(0*y=PFngJy~#T_J%RTx-T3wLo^#&%AQs2&+&Q;Of8MC<
zD`dAs7j+^ho%pB+i&yu&5X)bs%a-*i@m^V`GYX2QCwS?>P+jkH)w8Sgw^EG9Uooun
zRAiTW`e$9JRbZIQdbmno{Z@ZQ`XvKC4b8b)w605}6(8*f(ra|)kb356StjhBA(Y?G
z(x77X(D5Tr*6#;VYj&MsM!njMOs+&4?B2@N(zcNSmDp+|4ft5`jm|=MxD*X&W~BV4
zHU^Ald0**M!iLZClpBPrsi2wP@+j*7BeK~&4`<uUfhqMJGNNu&=o#s#x^BRPP6Km8
z*KE1)sz!Q&(TEQGaLb`b2{GeG=b>lSc0Abq`Nqv^BOS>67#PCB%Yswdje5%Ad}!b2
zaz`#*8xox3q7zkE@r!Na^SA&3RI?1cz(1=6Ly>PwBmCJgWm!||?j1oa7=5(QdZ!k+
zsT5Ww*0UoKFE{7PER5X^v+u9=X~L%$y~;1mInnw?L`K~)5uA#OWK!6r35>NXPEp^u
z@ba(yZ?we4P;7panCv12X6(1@V|l=X_2FNu*4o68t}0Q_l}`Z<_N1d4WqkO9{cGxh
z3Q2tBn88xAl>*T_(qDerCxE3<rP+_x^H6qC<Ocyo3e<!s{`SrmM6ICh^Yw$Wxb8tJ
zZ!lBfXOzeR-gTe0RHIcdAWgz*v!ErVRSl?ld**Yjtq3|_@77`VQ9$Xr2GMqr_4@q1
zo@_5fk^1M^*3b$?3=^CWaCW4?t&}1Y_TA!`Bo(rOV?CGc;$G#dze9m#m!CUQ6(w=P
zDllt0TNzjV`#+YcX+mWCmp~gvX=D^93PLHWSlL;<Tf0{iww`7h-OnJ4B#s|?kKd``
z%AMOLdG%VbMVMJ4OI{u$v;#R>4{4y3l6k@P9&N}<G}NsvBVkxwc&&_<Ca$e4(*h-_
zu=t`Rys1wC-IUEO?FY0l|FuMk^)D*$4!xS=7bRnpktf4qk`C%?N#yGF(ct{<M;*hS
zN*HsR&1L&JDt<GQWf`7b_e=5hI}2|pV`K^4Cf<gIeo-5IdG+*R>%4GB!Key04e#()
z{Ypc{h%cuZt{Q-(efg3QRSmzvgTFs~b@41i*9%vY5fp9VE0YOPM;-x|yKH5;IJm>$
zde|#t_<WhM_D8w~if1_gQhKM0;@ZE++mcM-koU&$_8basxu;5-D%ZvIR>rJ!cXRkp
zSTA?*q$W}_dJZye(M99S=R7RQmJnilrcB9H3zvOzYa1WZQ0lXjeC<yHK5dQsZ)d$0
zZfNC=5$dL5Rhr#P_4S<fJdQW$KBG3?`_KKVSF{c`J=$mQaK;MQ%6GW1vudNaP`#ja
zyCw!_+eF=?T0?t`_Lg6bT3Gkt)zgcE>d0z(JYS^N8V+0w&N*(Wg^GENnEqG=a~USK
zi%HqQvb9>+i-Ve&#G3an?Kl~YmoIlYdD%enspZhk2Pi1|^jWXce<Z}MhjRm>Y#^qT
z;aZ#JdhYvTclJ=Y6lQ<Xd)*ph1F3o20xo@4Lo2Dpr}1?n*sU?56=`P!LpL?&YJ602
z$-VGV;Ceo2qUQQ6ve`iVv0VF0jmlWT>bpb|V#CbKjw1)EtwHWZAz4;l37sBIipUl$
z(}hSL<2`QH&>PCu7kN+-wYT0#W!W=D=Xm1mSU7A2j*<f>k~>K#6nf>L{QFM2j*b^%
zv=xYMY-wXUEQfo~4?jF}=QXj}gL&hY6#yBsbF=-rAGM@LiUhO{5!1cGz8@0-7TA>+
z>B$lpaOkAtsPs7D7ql0o`2qMHB;yC#L{VOXsfq6Rn;38NCB4xnph`XQ-QP{Z=-S-w
z$+ByfsABY4;&HWv;*C{t7gq$ZO>D+{GHs6d8Rp`)6m0>5#@b2Y4ZN5hmvbqCd7e10
zWAKAB&m8j1Zw3~QbE5q0hhTw;IU+(J`<zdU8K6>N*rzx)ROl#~*NmJa#G_UVJK4>k
zSVh%y(4QG=KAX*7D4Qh&a=B&=?M<P6vbO(G-a1FBSI;Run<3cm%&bw*o4|s9#*P-x
zWqMos8OoCfzlkl$vIm2EjX|nl@NOjYU;2#ym1oU))5MNA@8~3oF>vKe&y4HN(VgkS
zg^prV#D|@af74DGL2t_1sABIloig9$YQa1~a78j3$qX7oSn#H8OYLKHhcmx-QU%9|
zw+jZH%T|U^^~wY_Du(H{{eubY8%Kx&p2Rm9cMTxP!i_aoZ-_odKJ(#f#ZThtpIzkJ
z!Uk|j@?S#g#eTZBDEsXI$6;c4E1&C1f<8>VTCU2f>!O!*XcLOkKZuZvXSYWz=z(c>
z`(}f~E%Yao(a)Vp--+s=vzndz_28ag5{txA6Fv8FmCGsbZ-iD_^h4$mUFdgTES)+~
zORvpsx&HF?5W%+LNYLjXUAXLEl3eI<oxWnK$K4$~M5v$sm}xyqgZ6<bc{iCn!hG<l
z&KC0_LfnRlLp*{8avH6{rRCMc@O3rPjO7qPvp=2=i&Xe16RyAHfyCnLAJ5Ywh6sP=
z^0$SFRLJTW-ar5O1>w5s*`Lkp`}TZZ;j8X?PN5B1-#E<kmZ;w|saxUqjYv#QdXVR=
z102t&Zvy_c5C_K@hBGC;6K*e4m|G8PLl~Qk4d2doq9@6&ZyVzef;$)Qb==nieUl9;
zTu(ZQ8;86Oy_Fay_Hk%UCJt#rW{~^8Gol{}gT=@vR{lSUhq14GU&v{~^MuKTjzhh~
zp&Qpya(jOf!Q{^VD1Qn(<+d=WnC>Ga&J8ZOCXW(~qYbYki!|WKO`eC>621@#HaS!K
zLdS_?KLlm&&Z<MzbsyH5oI%1vpDXj)xk=*N)uhT*TXop6@1giUo*`nVa-F|S>@+cN
ze)sau95vwPX4^NG`HfilwfQII^=~4Hni7l)s^D<a*Q<&6L3mziVhAK=iTT3?lYE}4
z;2rmYBbIx;?<*?qvIBF(_Te|VcJ(T-z4l`fef1adRsRCF==}xa?v3E602LJ&xT}1x
zTyBh*`$PYlTJ)FTX1U)Vd_@@q?p^n)j+h`eGFK>>_bw5k4B}%!oXTMB*Z8(%X^L<*
zQ))YGw?cegqtrwuD8aFm{lu}IzX`^#`NcXjYlLdgigXc!68P#AzTfz3hIp;sD6<g7
z2pcy3?AJd{hGGF`uCrI>h@(e0zW*o845BYSX?gOJAz_W_!~XpXgh<aXU+qB_xDv<M
z>w8@hmea&cl4Jf7V`atO%YAI{!9s!SK1~t!rXGtLC|@GZlTH0>c{m~9N$p6(dj-(A
zZg_WDX@!VcI&13_%MFaj-|JXMDnJQ&L3FZrjqu|L))gf2!T2oimsuGF=w^=ezaPQ~
z<e$f=pOOVY)OMTahc*&C6q$Nx#?K74kL9;=s0e{SSwoQNA_<lQ&ZgviVSyIMP-%ln
zVfgIxSf0g~1d?~gB1Jy40c(9yg7J4zu(uH$$k8W3)FZN`JwGS>-qq?Q$|C_u4FL-?
zG9<t!391^0xq&lL()?$z6c}p2_abo;lzBBTFp>En_NbrND@Iv(GR8{&rb>c{y_IF9
z>;1hC34C_@qdZ6m|EUjiB|+Q+o3dC%A#f;~Hb^?C0KX<qHMd+P!BT_y!ROzF!IbPk
z4pSxrkA!-oKeGa)TzFa=+$IW9Z2Gu=K?xR%u{0!00or^CONlXY*mbH>IeSzEgdOb|
zOnnt$+xXIT1$`;V&tTvEnL!==`#Cmhc$1-S@SnDQnG8h#YLvZXNLioT+am?nl;Aft
zHapZ?9>P7^-IkKHAg?rPaavUcLO6TmW!C3iO+6V_FscLp9l7Db&#MO0BB3%ZHx=Q_
zty7^pC^T^Habc47(178eM*mR=B?x#UuCQUdF5Ed<8GV^c3rgx8UKdO#gZtdB>FuZW
zK<{AG7kOza9C$h@GjdlIE}fJt&%3A(CS&KF+9zp{C@MepAXpuIS#EqUJ7@sCAKY@Y
z8T8@U2g%<@R4BmyDRciW6+;+dduJrR$q>pU<6cI0Xu_z~vRd&uLon6kCtThc!(?Dc
zeszF0r1mPfu4WrTR~6~s_Xsl>Y7`NzZ(7%(f&P+UFa(i#hb!+@En(oobD>)?RA`b&
zaj1_qfFALKw$Y&gQGvVv5Q9{xJY%2t*i;`(RRgPtYAe8LpE`3n8i;rc{VvMTg{4Ec
zMrZr2f$!q+3^#Qe968nRS$>`hlFM`nk6s&)j8J%Wag_=jDRapciJGt=dHBhAo-O>%
z-b1|0r9%En38zx7DwLXVW_zpJ0Uv9nWGN>Ve!ktuk(H+iA{V}9Gep_}(^P5ZM4C2G
zrAsP3lcmA<ND1xRaXV=6$*~x%*Mw=A(1bmQgrH42d9KaV4kj;b-+rP@19*GV9PJ;l
z!2LqsTT-lcFw)a?eBgi@1YSS=_UO4$;>)o;n`AE9!j9&csx~DRI64-=+8zI$?xoWD
zl9kOCHas={m+_Vir~G!0dT(5zpU*e(o(Q#puC<Mwl5q;4uJr9Zzc?H2*v@r+^LuNM
zFC|w+?vsNJt1oV6*KlLq<qd^jHLc;gi$;&Ulob3A0096043~#L)eRKJ?Y%eI>lzpL
zUMuq+l0;}IGZhgb5e=1;keN|Nl2JBAB~sqs5m986QYxBKiEJ`o|G@d2^Eu}{-{)z!
zZOJU{;Kxmq{x9!cwt%HSDQW>6Vo-9QeJ<8s5HBvN+&j1c@Xcbc9;>+!6v@;!r|1je
zu8e}up?&~PGeHj@oaF_@`z*@AkA$$ooaZEeGac$vO^%j|vjgu`o5tLN5Q4Ye%&}&3
z=<+^nxMIx+V=aw4>zIX6b($I;`_c?DBVuK{xfbXq%e!7~8xz6{i@E*VCrlyNq3T_=
z+8EuXtgYu$ix57KJ~3V;Z3=;4t;6E-j$UtLUzC|HgtIA4qlb5!K-G<%k!t=8#A%P#
z_p)9>c>f!NwSSH=Ox1JV<FEZpblu!rB5x#wZhtv!i$;u~=gyYBoa288w`&(#i=~CI
z29KxE=tfYOaYyjh!ZhKXdd4P1KnM>W-SWmQe<Q>SIdzIoFA&$IRflcFh0y&SFXbHj
zMwqf`-Tygah4`c<YDCo)LNno(+sY>lp@U9+d*dYoez!Z_dBaBty=FFrjgJ{Xp=(MP
zE5U?ypFH>H-4VijEWMAe1sK3A_4JG3WEOld&ZY2IP#6W>(iIsd^g*2=!nuDl8#d>Z
ze^O2sM$6+P2e?n`1KCMrNB0;zCgr=u)F_CcWZPJB6OTTai2Z8TPU1v)_Sl%I9ueGj
zRP3Whu^yb<>+z^tl^Z)Gof$V}i=z7chtX43df?{wA)LL12MyI-H_S(f;a3G}?6=>#
zV67NGL-_C^{wjFwby6I2D#lyyX6r(VPh#gIP66CNQmc5IDuK&tCTW`;bm29hd=lxW
z07l)&<}7HHMD2w#A6_0^P#ma!!rm*0o#dkIdEpIczq`*Y^%V`SH^(0kU*GFhp#&<!
zIcZdxWzF#~q5=B^Ywph{!e|gS;eC%)7G11DgYC}HU`YI_(Dz;u3=X_)(pxHrk9V0&
zuI{Hnso1o>^|&a8Os&Ou-Id4GsGlDW?w~=ytLSJcX>sH|b~3snPXXT%;VR({>-B5z
zrs%m#V2A9hCmvT7QR2K$m6<CIrp|s#P_2^0;)5C~YgtNIq!gR*DU=40JQNds{tY;)
zdG5H*EoJ0TAGn%uod&lPee||ol*XM4yjj2NRnSv5I^p<R8aVxpJ3q)JizqX*CAU`<
z$q(Y~2b6W8u5RVeXrUZFtw~H|9wlM$YpfrL(S_E&vyVn^$|LiDjj$%OIu`7G<sZ4E
z3wfRue>Ki3po8sI&z&L~NUN#XlO3xEw>y7zlid|DeriyDTtX8EMdF#tN%}Au6)Co6
zqJ*<Ms5Q5_$ao>pZMt<xANWI`r<lqp<3`D%w5+dW49smfcdXI?7z1NYaV{(4h0szF
z%^WR!>gK|kl4J<|9U57pZ&a{php%w8sx~Uj#a1aqZ3Om7j4r;VijQ|z%11_P;~H<(
zLFZ^A$g0X;z2!^7^9>%!$z|H8bCPfGp>$(dQ%uxv5mQ4io(r!(Ue-pvzhO?-%S_;l
z=)~@v8Z``r&&gc++E`(Kdv^euf}xUf#Csie{53rDtpBPOdg`z4De5zWvHs0B5>nN%
zzaqHd@?A0p7u%*)e=vuM<8yr*d(`n_1}pdO6ixK^41fLiB^`b@_SYHyQpaO=--{^e
zXyDX-S(>m5fXLs%(C&}w=r(X@V_u#b7QVeW=Gy=;xcTKDk8*X)`s&4*{aqEkw<>Y`
z$8G_S7fweUaa2bShM2k_0To>J7<rRsWdS?W5^5TH)v&i{3ok`m3CrEvBBhU50GXMc
zjg6v)aw~SDy|xONtKO~dcF_WY4uz!fg^+M?WV+}6cUc^Ku~zXf&H{?|1&VIURz=J9
z181^5H{h&<dOtnF0{V~q(N3*UL7t_eOD-Z3SaFM_^VP!wLR?)m<*Jp@v$?P{Pe>Gv
zDJ^D0R12`{<@S&&R>IJI-+amr2w_T=jK|I;0G>nTqbIWzQJcIroX;wNXa3W#b$<jP
z@NAU#%_Rl&-jWnXU*$$J*XNX_V*oj6m!8<4l}GY{eCLiV4!p5{ah`<)Kpvp0{G5=*
zUUB17d_Am~7^d|~sfrHXV=sMT7Nv2@$nNa6Y-X(E^$J~Op+l<8<r-7z4R}ANb2r})
zM*RL-O6Y@|Ip}$8PJQSqi8&6DU(_lXaJp^Bp2Rz5K>f_Hx3Eqe^;;&!Ijh%*`d_@%
zNES0#dSv&bhAM`g+ncxgJX$68?}^Rrb~6Q^yCrgi-6D9xCB^8P?<x_m_&I#%JrnSl
zx^yCJT^~>C91;o6UL|VpH-?q*nZPhdqdYxG2(1l!4<9#MBkHytjkF3f23pN_rMw_P
zlwZm0Oi^UO8n!F?5j{p=QbL?7Ocub{KKg~OUIt|C*<2l?Zv<wYox)Dp{3w||k@oE-
zBet{h1f;KXVOHiz=ZGU8dj9_C5SGP+X17bnk#{3-hMYO)O6Nu9J6u9$Wz0w%F<{V)
zGK7ME1EY)wd60#eHk<EbLH4>xmXSFFD4D##;P8kWY2Am%jV0M|3w<$-E7SnkW-U8=
zExGXni}4Qc6YRLM^ZKc(NqtaMe@5D|z=bB4Ht2_sb71>h;Uho7^<kq3>2==#7g{mq
zaB!UC!m$?L!2VS|P^e8hTQtmtdg6~aQ8jq5Nb3n>L6RQK@s)1bF2#-CKQ(cLPV(aO
z&jA;M<n$oLO3nQ7ac;D>IDD(5pC9>Bzi$tz*M;%OliWg!-1x6ItZ8XX0MDIrkr;7W
z*LlxD<L5Vduse=9V3<(|yXNS&q6;*Tsq{6xd5jkWKT;#y)r9e5wsnC+Aq`@O#+1tZ
z`OuR7=;cE%5nOrryLWm!ZJig+8H%y|sPA5B=W|yS*I17q4rix<`eZ0)*Fgb%c}=zJ
ziG(=1Wn6u|`zaNAk8P&<N(o|-pzm{XmIV5ir-W)IQsEHED|P30LA>+3rr?LR6gmp;
zdtc;Ag~)!b7n1ATIg)hCjQ7h1+-ecUd!9;#S)Y?ij`hO$^P{)*#oIDiere)ru`m^m
zl>X_8Zx%r@A1R$rS#sD@vFO3WNQKOkQC03=MKSu&OjA*}JhGhF%h0n(fot}c=Qc};
z<HNbtcC}9mxSb<<w+a&#e#|ArSNcm}ZBkJC%(5c#72DPxl%T?$x^3sNR}z<s_VII)
zlrdO>;mC?P74q3apB;DHfUZw|R1CVS;Bwvy=kXI%;5XWR=+Lk<KCamsV3nha_dMtu
zyj!TiDg59<Lz*lWrSfIkeI%iL{w7m*Wg0y9X_kvpmq#gO&A;*r>ZlOs$onIg2A6iR
zW~2)%pq3j0&U<O#MV%AJeKd7J%Y5L<4OT_Wct^T4o2!YwUQ1~UeY)_1oSgY!MG?F8
z_bF;TC8M(MAsLrUJ-F6?@}18=CA`QoqL$OIg$vs}g{wpLp*TWHsd!cyseUeu?(N!`
z|9x1)+s^=~r_RZ~8COB6Sgx)Q$vXHubINxy+z>Xlm%PQ#s+cFQpCBth!C@KciyyN$
z0^`d!5|wQvv|g-V3^Jym0adx&w95!~hNq7D<*Fg+{6FV278Lv$&Hb5U{olz#-fao4
z>S&?n|Ep1fg1&m(jI&OraHU!N^pz!b4AbWLl2@yPM<sE0@ijAu)(u&+IHQ5q(|T!d
zJGBv3h=rwobC4ODc>lUz1Nnm4hsamf=Suk!*1`bL@vHu+H@hav>2K#s5Fq24l+bSG
zc!0xmJ$se8HPPkFgVq9D4eVt2aPu641q2Hobu9U;fzGVjfqsr^NIl;BM*g4$+~@sf
zvJj_%A`hJVth80}ZwHrhb*%+7F{X;uGHKvW*f;rSUJ18q#kBq&v4F|&Y{QSc)G=;Z
z`nW-p0!AqK=asQpf_7~Bu8wnRSSI?P>d*!`3~Ea9t>&`?;l=CRU5O;*4|KBW`74E0
zjfNg+jFzxvDN=LztSYwWA8pFu5l6-W$I|#O79b%1B_Ys51<66;0~ap{<I~HhK4`7?
zbMfb$krpjwq}+EBoO2gIn9<x%KV|_NpZVEyFDPRE5u>6#CfwM~cd+TCh6ThqC&MpP
zz=aC(mF<_=(82$<t=|B^gAIcxy^`gzqV#aOM->ys56bRxz5sBfB)=uPMHaVzDYW6|
zUL*MP%HNr;bLYV6b2Qm#Y0N2`_pB6IB+ReEr(+p(Q1a_ZP}nDh0SwFPecR^<^V`z9
zjMw)S(6af;opoPV<~SF8FK3##7NIQlM#3D_`Wu%DPK)8r)V*IlJ0=M(rUO4ZJ<LGe
zc>eBf6hVcceYdGNL8SGSS)1N8g+Zri+6_%%yf^grZLRwR@yg#q{O=zVcohCJG3c=%
zwzy}-u%DkGw(IkD2N;{c$Gz!lXF~;WPe`*HNn(<CwBg4;jwEA<+8O^SAcqelr()`#
z@=OutiLNjHeK7*gR!-{f3?2->Yn`LwFip7aVeWS^HG(tNB~K3baN$7zjnbFhGel9u
zep^cJM#vxCmndh;i4zqH=C&8-h^@&Pw5U}>xDM$byVlsz{G_f@jqd`X;=6Uh(sw;~
zyrHJP{j;7IdLtA=jxG{=O<K#3zA}K-oe@C<FB>}ZZ5sNQw@kRYNZB!NGJuiY(N|6P
zv0`LNVcU_hRpO|hWyE;BKIo|r{ID5fLC2y8=>~Tg@U-KNJUyyDlyTAxH7~K?;ow@c
z-wTZBank=;-)%iuCRu1jy0PHkt*nJkCuTGlTfcOQ9&Fa(4$#}hg7*`2OYK@&@S>TQ
zf!;btG&2{9t{r8;`fD59=v&$FINo*Rv(yFWi8@i2S{6K*BOu*B%#O^-Zytobq(Mcv
z(bpgmR#X;@q$OYH#4|MsXD<5CK(D9Zlzt8?-d$X@BOT?&+ljhn-m6r&z^@+WNoT`v
zt$+B7y?N2Tpi%;^Q=vGkdt#K09Ua1UoidN$$M1`t^1JC&*nZY6lRCkUr2%`iZhsKK
zG*Rx^pCc4_^<=AY?-B<-xJItB;TOU%G5+H1nG|@(k|1|igA1qo+@3vi6~@3Thk7S%
zDbVBcvyv@xo!4i0*hHE{(2h|`Y%?1LBIXM`&E|QqBwaXM#6%2TbtQ9Z({$imk?iBO
zEI#}j6_;@5jW~{wsH|nGI?#BRV_1YLfG(5f?2RdsSeP?%VfuwOgcYXRf7TR4{%rx`
zKM!p{j%veImso9xrWmOlGZVsamLm-fUNV?>DP`+7CvC_(ePidauP~ZscssdA$)Q8y
z(EKlBZFre^qT8-q1QRs{4B9`-<LD^IX>k*6xb{2Lw2D;>yOaF{OoSCt;G<G=kc&20
zkA89-J0p(sgl)5)vl80(JT<e))P`pb0-i1Wk|@G_cKCgzGMf0rjkzvpLn$pUD*Hbv
zly*(ZuH;umYmN=aiZAHERG|H%;CN}|P;8&y6-B}U$C!u*(iAuqJ@WKPuq@i?Ry>Jb
zRKr&Jt0xjuDNts0*FbBdJU%Wyr$L<3zymFx{F&sa(0^i?In7D|{lC`jpe<<P!~Rl5
zat9Ukehe0zUe8B-Zke5lN3_t*KbZGb1`U!84>>-LP{MnPe=iRAY2#S3Pur%my5L$y
zGY-gC#un9*uCII)l&WkOmWtDZ_iK)WZ=R}Ps;d`Cp@4!f8a>=6YxH4@H}Ch*U#e&}
zWxGd1oQjhN8p-ni3?Qt5{_qQn8cy=+j8TKAxMkOwxDbzxz;Ne*$D*J*?#L=-i_4{=
z_v6Hxu{TDb92MO#$*F-!^?q%l*Quz~Onm>((*zPE_U^kntbysvGNUX0RLpnk{6Zf$
zh3fBpiurk(xaH5+T{=uuG^TC-PLD8$akT>;GMZ%E%V6I(=S{)G4G-ha&(k6Im|@({
zI5N`I8rWMEbx<Nek#l1;fR9C0gVY@|T4_}0x5{ea<};h!SL`gHrTtJ-L>?JKdKAu?
zcWPk4i-U4zeHI{66i<DzgN(17_}oWL)X@0a(O5d&5-!?^1uVSK#OR}j$GqcIaH2Fx
z<6g2Q>>iMG;1tqCp6BI$^rwp0nD@!8r^ymj0yTu@R5Xx7N9YcPM;>eSUEgi(wS=(H
zJ8L%l>S$v3T)yVB6n>oKcUNw=1RnRc%N1`(>%KhJU7ke@+ru6h?Jc$hF`5JOf%B?(
zk<fmcbWIQ|7yS&<k66O(t`+S*DHZ(5Byc^_hZ}1s>9)62Eg`1<+)=3tB^>%9XJA>v
zf?IMXMEqV_K!QnHTBX7IeVhIJDEViFcw0hk_YYm4w~k|6vRxishkg|)rp*v_%^|ni
zcr3v8>Bnb3n`Kda{^XJ~={GTdD$z^oCO~Pi;hPXaX;c?~*7%Tfkmy^ojXGlpQ1MxC
z=ly6&EGab5$TDvyWU9mR1heQMdf!;}mW()3(l@`B6_2MYyX)BuqB#tO&BmVkDuRX1
zJsb8fHq&Rdsu<YD&EVoe2l(43gc<Rk2T7+o=`TE}!^LuD;P+h8J9<h0r!=&lEgtBh
zJ2s4n`|mLY|HqZ10jK%U%AiDmd9a&a()VksBHaW+xH*br{J1eE0~@`6bkGxP@<)?j
z8^g*88)`)v2XeLVdhEBomEJm>w}nsI7<@-Fc@7z}VcnyZP4mh1^dYernt;C%ytcLU
z?Br)bml?H7O(x0o?DL*8{*N|7s=M*GTVy8uYyI%U5tF+FanwLyRA?ixXI)LLxx|3o
zXEVf79<>s5>%Ytgf(_w<SYbz$*(!0)`jGVa!CpdZVW-WtUIVZaJpSWO-x6`R*4RAm
zaz8QExFF<bU;yF^wHq&V{3AA6tpyzH{YbpOL!;*x=tD#hPq&`r0^#;6(0^O%7lP%P
zVTA<0KCqs3bHw^NBD!|iNuBskG`wUpu05{@(Z-yVZ#QO%%N2P)re;S7dwZD&TNiX;
zpVPe@m1i?VLYJKTdBagc`CVyJTc|GNZW*b1r!_<PE@s4WT^c72yVYLhpQHh_I|m4L
zP80gRom)fZCJ6REpHKY9Xb^9)=2e<IO_T)N{#AJ}MO^x;oKUwwg)FnUWyR~$gt}k!
zQhDqQ!DH^xFnOK|`(&LJi09M9FPWvm!GJl!<#WuH20khXBxSU@E6xzFEQyF2{{<pa
z{`(Qed<uyE4t#$6)(o-9`0HeF%p$?d?mN>)qrhYJ;vi+mS;F+_#)k?m%S0-3GXwt>
z9XK3$q=7?mj>x(jeN0PjjUd^Ti6uVQhWpLmx_8LT6Yfkj2KGS)9NQIfOn^-ril#Dy
z?^!Gm8BN0~4s<3okA5W6uvH79<RHyE^&e5%Pu%DJj~Oeq#M4Tzkins*LRo@)i5Q+Y
zY|Zpw#kX;nUJH$A!UK(`e^~D?6Q%yC1s7!5k&V%D)!af8oZmS*eNJ8_*h1}HZnATt
zR>Xi|%uNlj=;!4dvuD83o09JZrMWRYWpvLTJ`H&Bl-arOC?iVPzckd@&x^4Se3a=I
z)M2}q^GH)I6IObkk12V_kJh<Tfn#fGFvww3#wpB#rl-7i7;F~A>ZRgo{Yz?)AJe6}
zCyNya$_Ar7n}kqvvhBnMX*GyUYATAcV8=6-Jo@p@B6wCax~Km!30{m}SA8tPiTaH%
zJ|u~Wp=q4_j?V!kSU#UEyH{krzZ}a)4lCklca}eSQG*0>s-GUSS@B|ky>-$(J}I=w
zsP{HsR)zcz`?n;N@?*}|j;wflX>^OSI-vGd6-4Pz#EvQm;`6{e`wu^sMdnMv3Z<V^
z!PF|&j5}EfufMt9_3XAh_Q*GyYb>aOM6vfwu7n6yc55HrC8>xumxX6*bVy)A_|}WG
ziQ+!d$3Z4Hl(0!ZPxfsB37%-LjhkhOqeMyh!Zx#YU;l3^YKTt_NFp@1tYk^FQa-SF
zepVG*$$KJdo7Lc~+M#Sp#Rg3I)aCMDs~QG=T3mTwt`2j@-1natlfk&YJ*22o4gA#o
zDe_3S2CNFo%beAeN50+p=`q=4Z2l+6F<?N3&K0H`mqQgWy8mBmV5&B%>jkH0{MLfw
z&XWHf>QKaeol&C|mK2PB+An{5LI?I*IZq@}lyUgd*M+V6R0OtG#!M0w(s!#I@Gn%s
zU18;iL4t;%w`cv=B?$W6oV%nYNN6Ql%WM6WhAqv{DWQUTaQ$nvj%$h<-d20g@amE-
zRyXbpFznQakm>U6JD1f_>66#v1O`1^;j*1`xNQi%3Xu~XE}D4l^7DjcGd*OuCB5au
zJtHXgUOjA^L&nlUo3mL4dPtuiemdP_0w$*(g-74jLVu_4zlXo*BF!fz^6Kom4!^9L
z8PC>6_k-oa?~HYE;ED6h4Nd^c$IaibSm@vl%ji2}K*QFMSCly}3#bhFDmhi8g9i&P
zeqLOl;8)`*E0tLb_|Ui9IaH^E1|s7xGv8|?opIURim(J3e;v_X$92$H<7onun<hT;
z;|`PY+5``nq#Q=RX``{U83tV?;h!Ois=x0xfzx+`#Cb+-G^I!%-dLxEr*-zMeo(N2
z3{Q6fueW5>c$M^^uvrdYb*44_HnRey#G<^>AWbYv9&2PfE`j2%tgDq2D`=&&o;mnZ
z9o1`mZWR3|h!!E&I#Sj)ft>fZwpu<lbg*`82)V$HwCTU4Vzrxqq3k4Sh^C5l7jBCD
zu~{Ud_!Xwbwrv8{w(Ax4w#rBj-SoM)?hA2Jmie0CTT7TYuFs&dUlAD?{5-Yd-q2r)
z?U8xrYzber)8>DkmB+wbN0-p53A$x3yB5Q`57}ig!Fg+s3|3q<IqBv4kKS4k_x#v4
z3y`tiyy?nENi1`Vj4EqeqgS|epZweg>+`N07s?dFEiv`)8q}E}N+qaY%?jXN&u~us
zC1Eu0FPImvW(G_${JfMvhao-%!B-CiP}%rjSbQc6Na+iY3uc*vjB4tY9h-P?11bHB
zDi<rf3^;j3q1p^CpXV&MOl8N33**8sRaqfE_vtBGmnl#zLbpk6XGWfnJZ$^eSi#+1
z$#8zo1bi-vy>R-sN_5Rx4RQX*0&lzRUQeo<0Bf3zu!zh8vE8e<WzLfY()zozl6{Op
z-_O}oZfTNe{Kfb9`5ZHp-&J>}lpBGQmqB?u%P(SIxzd1MDl?Sr=X2dWvk@qA&Za4`
zLj=#nyZke{%&@Zcea0s1ji4PQ5vfS;AnH?pIgS5dg0?3LjWst6p(f?~il*O9dU@%x
z_Le(L&};)##T5f6ia(`uZ*MRC_Jn2^Pbw3*`!qi>JzxMw4OGQ<jD4gl=eu*iOJss=
z*WvoT4t?;dy|v<}{+%A)*;15oiwREoEirB}(g$|Ffs*X~zv!!h2W4tLFhTnP)!8Ri
zda%gK{I^ASoPM%&Z;k_v8T!sM%&jQvft2ZCMn{iHdYnyqlXp2Y1e=B|ye-s)h4QVA
zY3HZu8qG2?uPs>Mo=SVBk&-T0AJZg%N}r`a%yN=XTxNlrC%4B5m($?H)q>Eb?0I@r
zJfnB=dsc|7|8KXaE)7Dc<a=Vd|LBarukBzTWCQ!l*Y-(0p#uB8fc%|>OZ0cSMHMcr
z9MB-qCbWGw70gD()r0P?&;uz7zB0QxVPv^DNMMWtWMPdFo;PdsmHc`yy>2cr7c6fM
zkEcN8=Dh|l*csu#w3ldWC=YDov}wGhL4kX;N2)4%Odv&jyW4CtAJjREyW|$?0LkI*
z^TJSOa2^(y)m9dOKU@L_Jl1nlc-KQchc*^yFH}2{K^Fv(8-#|cn>PHOoOd&#vB4f$
zMI!9D5IkElx2<c}f){S3q|*=C;Wl^Ur>qWPSfkx39JkN{{$);WqkWtZ!e9U6qnRko
zmaRq&KPLlk_4VR%Rc;{cmv$Pw5`&DA|8l?XCqopA&Q1|wUJ#u*x||m;0Y8Vnyb9nT
zL-&cx?|Vu7u-rc~$LcEuOcPyCwms2=z6aOl<nIeWx&h-JD}QOYl2`XPKUEW6>)7f2
z7!?G%Z)VcM6<G+fcxUr2ToaPa6WhL<3PZN)krR61@*os(HnAg26U_dq#XKw%0of@l
zH_bW)sHil3QMX>FN0|S~H;Nb(wD5R&b16YXBfE%gmnOsnq^;cT7YDXa)vr9ml%e^3
zQ$nRS8Fu94Q+0ABVLsEOVs26eX0H!Q9DPWJ7X>@sE=F#E$I6-}8s|xn=X#5{5~>BQ
zo!sBFF37+>ufwAwvg$CO+DtyQPaBpawG7m6$-%v0m+Ia&4Y1A}bKe)E1L5T7mbH`e
za9D(N>|ZDuXpXP!rot$&Obu?mBC80hHaAH%8?>Rjy5#b*4HZJCmMrh@QG!C@gV(p!
z>wpMJd((HI!B5#DCR&y<{5+MJ!IMXU!~xQIZckk>*tG2p{i6z;ifI2uv7>^7W&fY&
z1$w|c&fv_UKmz7^#>~A#R2Wq5xWmn10DdP*LvHO;gZ|aY5*r5^><GS9Ii6|=Z=Ymb
zR7z8a4gSa5W726rHmEiXFff8xe&MRBY7N+)UVlvKCJp`v0096043}phmTee@?XB#+
z$NSnDuRY$=EITA3NlHa3NoESE6bkuhsYpXoNhITWNJgoIj7mm{q>LylK7a3@*L_{b
zc^<b!?gvOrnLst`X?$(5I{s4*P1qN$i^d?%ZCVv(u>YH0eJ)u8F*5O+tNC<s_=8Z^
z!#E4*dk>K5>oj5VGZpr`b&%E<)X5<MyyzZ}{F|?df0qU?k@4DK$=I+Zc?57(X15LN
z)kK-blWf^aExi5jn)BytmPmYJxAn#wP5kw9{}Lytfye!GduGh6Kq-8@^U85exSah~
zo3Esby=|709M7x}`}O-jrAZB(_4V>g<Dek#z4l8LA!|_8&(GhJ(?HhiKMsYT6yW@H
zWxv0JHDZ|x&H2UD@vZh$jAM)}<_ns=i~OwdYDTD0>$56Y3;q_DC5vOf!rHmgjn+65
zz8FA{Q^7|i!-pKqLa^^}SKUsvhMjBR6N4oR&TRYErY*GwG8CpV&u><kw_tLS-J=ZW
z$jm?ep{x+e3n`1tw1W5B8TE55iumtxXx%UFC3^d&{ksyitq}L@GGV5w0QWO9EEggt
z=$ku}6^RB*WaQR=sz{f^f~Z^qoxhv@kYg{s$K4Xz$wl{47-Yc3-K^?+fg}d1SjL+A
z0KH$Arth#y;`(2MIS369#bj>j$KAm0^h_Zoni#$fNz&iE9wpf1l;52hrh{Ym7CVLv
zVMK9#<{jw%MFiI;F78^ffT{X$xS6aVj0Oi@40=rw(o_%jcQO`W70-!P9N>dTt8@=7
zaGKaye`o2DjXADZ+9sIY=Eds+#us-G(*%=sXkb*B8B%uc3uK()#GC%L;^cqR1aE(*
zrDdThmi!;IUcJZ$YS^Qs7M^Ls*`C|?cfSeh^`Fg5U1mn_07uY6iz(vJRG<GQc@xZy
z(yAq<8IY5eU(0PXNt~*$ql)b{MlQ!+#?$Km=tmZJ<x>2A5!NeH3O~w?kp0v%vXfz+
zUc`0V>VfPy;p|OUj^;8#n_p6`gx4&6qr}FhPyOEsdhYJTus}l`%ac_sk)Nh(T$cBi
zdN@K%O+2tmsWX7k2655eJHP1uS6qCwuM881{(7j!DH%ZhUF^Z;rtkF3%IRM+#a{>t
zC8UHWRUiF-UVZ3V9qe!hW#7NAgM@@bXDjm@4dP+^Q(Ha{(j8m;axdEt5EnD^-L?17
z0EfZN54ZQxZ`DaGE0*^WQQsT2f<Ebi8nE4leXyIJ`d#5^sP0E1c+B$Y(M@_toN!Lx
zEZ0HLtGdm%z}ibJW&dOFXw!wX-uEZj9B=4%Ub>kb*X$-(yH1$CaMeYXo%z-7u|~Ss
z-HcSm!uQ0tL^p%-b{%9fdW$sHko2TBt$ga9PC|6!opH`BI$+b=`-`cvoW9HCz)<R;
z4k9;bpZcvKZR9xIR$IPUL|-Z5!*8OUs28}f{?Gw!jDHBuE1k=t-{^YQyU(eeI7e)1
zy1%>*o2%3$9o8ig>DtX9(L(J6Ur$+5tkODg1!=YVislokQz=rC!tF%6P7D+`YQgAf
z$kYW|2~nH&o&4(9PS{5bnZzY%!hCGO&A+USsPc98Wv*x^#(m1y`#;sd+D6i=WUi7p
zwdlRx#<PQHX+2zaYepSUzw^jcFcHMzg?pCblukl?Nm574Kph9ya8>5d))7H=idL6Z
z-xGGRtaa^iYIu-)^-lE82IB2jhso6KUBtHcRgVret3soYyV|v<k#K#T;NjQWO_a6p
z=lm2?1@T^Hblj(fxEc7tQvE<Lu}J`8K%Ku=%t>j#3U;`+pDvhvMO01H%(XavBzky0
z&doJZp<Wsv760fB(O6|~)U>OQFuo-y?Mk7dWU`2-{8bwfIy$HkUe`}hMJ=y$r%-U{
z1;<f6?{;EZIFB}~Ge~q@{xl*qsSG_8H@`PborJAmo=C>sAtE8>&WyXSGLmSSqxNm@
z376je7Z)AA64L{FPd|96gjxARyY9T`Ce}#SU6GaeMsyvl_7t&D!oa57HuKS5!u0F5
zhW(PG#B`ptS;P}Xbn2^qtT+Ee^c?AR|LHMCL{)WUR%<KbV%55nds;se9$Q?h=`G{L
z!^l6${SQ_->TtmA$m;>(L$x3OvxEsET;*m;r>+7<%%TV{?;%2}_WmOyt0|&-+xF4y
zN_m6~E+!0feI=Zd!*1LjpC+iQr=(ybkJ8h>o3g(T6GZ;z>a2zt;^U7AulRO3D9(rl
zdCrdz``b=%jlTIqkOkYd%XZ44Iy*J+Kl&I^dgj%vH2*wNnKyB^cvcqgXCE~A*N+n|
zjYaj28H+@JN|Gysnk?eh>}lL~dV*MX3I}cTGV%0y2<=gj48lzRdlct1MHFY)y}kFC
zf&9$<dWu>sjiXjQ&N|D}#N~tZ>xn^3<cYHjw!apn;OBpTZBO3};hhpdG2FmHD!htO
zDEE*;z@?h!QImfNK?ehyPkwCVu9o!?J1Qg*<90mars+H}bigu%<30!3mLojMPn87U
zFFC8k7mI}F%J90+rre~vkl2d)O$pE*NgVlfVVTgEGl&)BUqiBe<r56kmViH{xaGed
z2J)9~ociKLKJxhUdrx@Zh~sYXjOXSICUWlP-QNbA1;|}_9rC5e#Bqt`tdvGH3)!3&
z-Wp>mL}t&k>@C?Kj`#E*QY#nO$ka>3$olOf<l`K55g|=+jIeF_Ejz|R4$tNoY_1R^
zy?=53?b8uQ(|C&8`gm?qEGvh4%u$jQan`&n<0p;@1-_%_yw;EdmhbOek(VL8MkZSH
z%f+DyPA|P$K9c@`T|wiT9J$|YHjl?n0#%>iR#im{kfSL%r>ET&$o|FMOkSdrkS&>R
zs0$DxC#}yhztvPCvv0Rt>o$-=spr(%|Dr|6mnMgkNo@)#tmGzq<FPcFABn5FHHeW@
zT|>%*uL`MfVSAe6HCagCo-ny$BS}7MwyC$juSQP&cl$U8yF46+3ibyrNt5XUjiz1l
zn&jme>JPuO3UFZ)JZpJGj#Rt$db8r=b)*^Vou|rsl`z_`d`E;!fqc{dZ>~aJheWez
z&4v3Es7W1oY4}u;3?+XQyB*ghqb7H_5AIUM*AMqnpB_~vw-xRQAztf|byE>`s(BhX
zF+LUB<4Gk`ZFg24XV)iX43m9+t<%Piq3FeH#;T+#UF?vwi~+gJRz;}8OBWRD?)PV8
z)yc3B=41O;49N8JsTadu&~SR@bE@Z}1{uesel#q{kjyMplst0C5LyBZ)*Q83<oi2I
zT(904k_ycMrEcyfu;w!3)Kb?byYE%*XSiZWwmpu^i+3|eil7irOOG~b+PRcNA2lHN
zwC>&bUJa-@HJ=->O^38JeU;$wP@g<skgy|TwRdsuqX{`Y)*;Ey`wII0>XB|oyDQsf
zt<b<f>yz51L)Q5i_`iFtL;k&Tt6Eyx22qWE)h&;7NF8aNo`(OlNaiBj*B{w!VW+IP
z=cA_%>6UJk%dDtMn(_TTta9HL!~XAt*AUty&F<_~rxZmp`@GeQKb&^>u_^9e`|vsv
zHg4Qo<fO=gTEPezc{^B?ZCxw<Ta)xo>2ehq;U^RCt?$~iU<>}g3Q2{P>ZD0WrPbRw
zMv@_T;mWV;w)n)_C4a(2mE?;sjOU`iBF+`fmz&AkV&Z6Q$NokNNn_ygTWtG7Pfhx{
zr}&f&?!0z&bfGDc(TuL1&&OC1U;da!x8EA9RZ%b8?#PpJS51v)xz>QIfL8rP+Zt*s
ze3Zp)GGx2reZzQe0nERujs2Qvg{qwa$)>l(NnO$9)~C8ccs}&eWb+40%pIX-|1%IK
z>rG^vg>MNXZVOY-kg+Aa8{X>YiSUy;&&_Q$(nJty(RPKs0GNt6613q07iqkE$+?nC
z6f-eS{PrS1PwNKBjW?M|GySnqX){q&@yBuTQt2qGXKgJkT_EnOM7tyyiy|y_lTIYf
z0(zQe-c}{Qh~2_wo18^N!FPB0=ynftWI8{M8BFdZ-uo5twGWDbCDANHFVPH>OeFP)
zSQ~vrlWBVLwg~vAW;bppOmV32q>#~}QTl74hnH%?M9|yoD;dFQiqGSG&6yd$>8-yP
zb$IMVpv}cPsP1oqk1w~M+N8QbzvY&CYD`rGTX*SL9UzRMe<hr&l!pPT0vl6U<V6sn
z9a`z5YK)#_gU`*?ObF6T;ryd1f<?dcbB0%pKs{#4Dyz+kCvsc1q`I%p$1`;-M$`yT
zxsJI>g|WkAVU791IT3V!*|4GJk|7><iw|x|;e^e;hsPO4MDQ@XZsRj$Lu?Pwp%)}@
zqo-y{iq~5d-p3|?J3KYO8Rl2%O98z2zF+Nx`xj9(If`fRa5q3tp3lfVowayFobl^9
zErt!oyFz(p^iiK4X_z0&2R@F_l9Q`EElkZkx%a9*<{G%zwru4GuYZhzhJpk%S;R~q
zxacGI5?5fpxd1F_*D{X_OX8=^Cj|<JJ}mX@Q~Trv(fHmsOF=;jjsq86RbSGO^<S);
zGPe-!{re}FwO$%g;$NRCXVcKLG1S*%Q3&gT!csJnWpHIVyX@lLRX((rXfe$Q<Me}(
zgQ6c~(LMiQlh6hl>W{3eP5UDP>6F(4SM%jy^JgxerbEN8n325#EMiz)`WHDn<k5LU
zAnmp?4f+#boP(vsk+$A1o?k-&j8ZP<R0<6O-?`dUtR=AV?|aGNe+n=n{yjOOM}wcP
z!=4Kfk~q-!g3RwygxWbHuWc?g%s(@HlvgGNH_Fa!C(4x2`6*WLRwNC3x+$X{R-_U3
zw6Z)PTNziPw{fg_NJD1Qh*J1wS=fggoGd&-fm4QynC)s$c6+|)m+mVEe^b>(8&4{d
zqkX*lHtJ(EOUjsyPabDFLw`KeRKe@@!!{Pr^l|pJ%;ShAdHnWlisM*PLHdl-;02li
zv<Ldef{rWTA-k<|O_eIXvw5i369&k){g)+Ttcd25;xp`fRzbMwM!^POL!=~H90;FK
zgha*Kp^im0e1Vm)37ZjuDK|ysZz$o^_Qk--Fm<?laOzVDBkb>+V?O4nj4%F%>2@#F
zabCDcRPcl`s)nD%m;F%2<i2P^d`ca9KO5`!t@4=+UKXy8r$F1hiO+5I-BOa5%1<?g
z<5<qsTt+Hn>~lXf)T`t7(wY-q%d38r+u)`jM#X*E1C1$x>X7;A5U<*424T4t#`>33
zoFRFVbvo1_%)rh?y=ji_NdCAAZWSo1-D{Z>P{Zr1yze^qTHx@%n;%znRPatWd-j8}
zDhhdn#oOiR;O&T-6gE@AVC!+AlYA;@NKdcge?i9;>*8S<RTa=CWvn!NDe#VI_dBf$
zly54}TAZWeX|eDd(^JZDdCq)@X(teHGvuOc@#;U7$CgegD8WCp#%Sd{V58RScGQN7
z*J69UhszW&KEPkT^Z*DgVi^4IIR(P!hmK#jl}B0Y+0tJmP!MtMfvpAw%TqPFX3u2d
zQ9*GuXaMxLH0Km0D8sBQm6&3Y1`C_*!^~%Zz?nA}jhmEU7P`Fb5-EYx%0_hFLZBh^
zzT^c4B}A(1nY%9`hU!=KyT6<OhNhxU?$l94fJZW=ZdMq-Z)|^X&=+u7dX;JJrvQAd
zzf-~^go0C+<r1rFp&oBK7Jo_}YucIXT>}KLwM&aH;VT`X>)1H)SPoTY3(BW|^T8}e
zlk^Ry<L;`yCpF3<z;_+olh&eG%6LL))B<s5B#d9`$sn-2?q_iZFDmjr3oZCt;F0dP
zGajW<IPr<`^Ghxss5OmFly;cIV6Z%8tF0vV2=C|%_{Iev$+GOBRljz(TDTc9A&%vP
z()y$%7d9t-9{5;hhI0vGPy9>85b*KP2J?JQB)D9ht57mSQtX?PiRVP|q48d6dKf2o
ze_k5)%QnRZPeZ}0r$oTk8TpVUkrN-iABCJ@H^ukEy-GZnh2fE06Z5E*6Yf<3SG!|P
zuoyLeq_af`EGA~r#~iufwg;Whr;SmtB{ctupb)+vs^vDB=Yq7tiJ^*p#uzv=8)O<K
zh<CNE)~WBf@!@pGL7p)qJi2q8@AV%6JWsC<nrq`hf6eoAYeI~0c|z;+vvdJeSOuJX
zIl~L?uD<iklZN=h@?noXT>y;<{}$Ly*J7)Ot))h^A!-Ec<f_;OaJ$?(Mazv3M;`F!
zH?bMwh&KB_uMvKX_wJfv5$1<%Zicb&#Z?Xzd_57~$B*5jJ;5WR{CM9cE#jqZfXzo<
zdWU`IN8`1sYvZi~Sn<7?)6uGrk|fW7W-b8`q6S>vb%HqDrpDjBUmr66I2&0k1<<Pe
z+U<O!5C*s-U7v{PLqBXwbMsjNXo#IUBitv9GUI99R}D10GVRE19TPy|yT3}2tfDYF
zcz@fmXd1TbEYkY?1VIQ>-RvQTtY$$rTYVaY6c29t@Kq4Kb=had)5TFyCewI%P7l1z
zLOUNH6T$-DP39dF5(wFtbB@134{9wECj+&Fq4BXgId-QMyac*ataJ77w=3f0_@prQ
z`~J;L`zehF`+Yuqj?lxqiRR*sO(J-}x3Vejj4UpfDe&I#(}Pd>u<O}JqQDbP;oz%s
z_*-l}>$Oo2#rw>8PCpRCde?8Rz47v(o|A7MaM8n`&ql|@>cmkpb7ybY9tGU((TJh=
z=m917_KyxrAkrnLdW(-DJ}~h^CR`84M73QHN=xBt#?Mm=Zc5l5c-8FrB|Su5qiTN(
zlE#43kL&%;%CHbIxW2Ys4|bQ%>1x)=z+5Ic>7gS9dR*)8{}x}(ugZv@0m5>KZ8QIR
zY6BIaqI0Yc;WSKr9{<wQCI{wUpPj!$1-2%NYg<0kkg68@_F0BJwC>eZRcWiDcD!Zt
z)K-0P<sVRw*{pzax?!rLpc-y5TItUJ)JJK@u1EUPir|!W-M#sX8Z4O0)XOsrAS!>d
z?eP~yh+g7tP`s>;ob47~$?FXfd!X}bz-=Y0cO2PSOw+)t{m<yMHAa{fxfQ&5*Q&1{
z)OBmWtAPtcme0n&7~z_jKgCai0wWWhz`HXVxLVf`OKCI)eQ$O=%PJ42)1QaES*r;n
zR)_019+|*fB*>xMmx|}iRi~T(Xkd)>q)lkPDcZf}wYmnVsJ$K3yYH3;x?Vr4SjsYk
zH#^^@Z!Rj>`nxRMR9XX()23-o3FgrMRz@$)SHX0qvwV@SI<EU$E{N>1fL(2YZ)C3u
zPBW~uy6#ki&yV=KLMC*)ai22gpHjgF9!lq!sVbJUUJThR(!uWRpe{A40^K)qKE~gv
z&_C|PA?Xf8?N!&{t5rc^k&5%J!xWg<sO&Dt1^hErOkBfNFiid@{%%AGmR>1b<8OiM
zA4E?nbE+Wr_olr|PKsEJ*>F(*FL2OP-l{5riY4u=rtlJZeC|;+_E=+ydw=`a&-YVs
zEa_v<-0J^JWQw;H2wNharztd$N<qiZ^Cf9w(pY-Xy=j@(5~O<T+HqfHRA?Vh4Aqf<
zQ2SWH#W_H{+<B}aK?&ug%prk9QN%kv=$q&Q+;WVhb*?JnaN@lCJpp0Z&No-wC<5+1
z>(25mRR9q+RjoHF03UI7kF5~^DpD0_FXS<JIC`vsg&+B)1Bag*0hWARcQ^IQ;ezD1
zdfv7*D2&{wRX<Kg?V<bXeP3j8<+l3%9kM()2%bKgKOIvAl*Z$VG8pko{vt8S37&?u
zE{|6hU_7NtQ#vArd9l1*gGL-^<y3!UqGth-2}h#?{SufFKd0?9!G^%!5?Up><~V%F
zxln6|IQ|Iq=%#V7VQsJYh{8WJ43^e?+sz<`a38LHi_xqI_k0%77+{9jEVfMtt3;sT
zU%xKOm=(Q7@()v*Orew5<j!_M7&kX--YPR^g}topU$u3n@DSPkEclENYW(+gZ;fY#
z=M|nG^ou5#ktubH&J#q#F2_>M8CC?9<;h#HnP8uE?iJ##0Qy%bGK;xvh<<jbJn@Jz
zlByoYWk?I)=cAP4MZ4M2(xO`8y_yRN*X?&op5jM|=%KC3TRAYS&r4qpFv6bsGn|LG
z`C%AmIbj#hiS_FXsdxJfq4BEw_O-iwm}Kqv*I2{_f6qm|Gk%8Pic$GpvVAp=gAWEP
zGV)+(>6A>{paIq%oc;ND9UnqpF%+jn@FG3OY3gpU0emEO^t21};iY7F7s<XB5h;H-
z?C131^DpF}tpFbkKgMj}+R6usosYVP&getZ!R_fbB|dDpr+wzSH9s;845CUE^l>xT
zDm=}R55H`BxwTCNu(6`eXn|Pmv7;FYey8}b5-On=Vl9ZfK9@OJ18J!6Of`?{=0idf
z^^=^R5Vkq-EmC=CP#N-?Dlp|oKdX_lUWzd6T_kFsSLwm&!rbBd$NWf0`PP!wECRlw
zE-kx5tGRHEd*RJ$J}O*)`dCs*3>TzlzNu^LVVkE6<Hvph^swIbsX8H!E7DbMjDK`-
zK&m^K>w+Lo{w+ME!z>BK<BRu$8g$`hcPlM@s}Le8_OM9gN`b9xC7$PsE-LrkS$Ex7
z7=K0r>fT$+z|Zt+aph56jI*1XMX8J6W*_H@39}qbTNmHj2kRo7RgG=Et|*EQ)w8uv
z$f5f%$LISybkP*<`bE`640cug<yIr|p!u>N{jpmYv9AJu$s7}hd!qr{n^6VGgdCtq
z#_FPKIkxUkg9M_sT~BuVt%!NU`Ldl?b+IT?%V{Gkh050x`ZQK$cm}Y2n}4f|v38AL
z8`7lFecbV^yA);B1GhV@5z>Qf#*vUAURjup_M9Knr^0YLSE@Bw50W<`87f`nkg{=m
zdCDp;Z!^}$+P>EVXPkuQ7g>2c<xLA%4p7DVW$oJmn`m&V*u~8BXVsUqLRMTu)F5Q~
zLa1?+h6XeYuWwU8+nDY+xl<h*Pb%kCW$I&)Q`0TJSP`b#;(z<rYv48u{{_BPuT0bv
zVrDq41l4T;{?~Xl5tyNDH^1tqU$X??RQM~y@y4!_yb?_ud0c&HipK~kgO)FpwJBgb
z<ewI(sD=JN*O>BIjPWU<+iTzKYELF8(M>zG@Jdy{<}IfQ0^>g33c5!{#gnZ|`}S#}
z?G~5ACNWdIkBq5lc2>c2@gzxWeJw;!FZ8cdH-jZdxu1QH3TlSQeVo;r*xo6#=a!i{
z5}aB(I_y;OVRU`lixmxA=b?R!wzI$o<D>nx*{UeAf3P6Iq=6iRyW$2`bgVObeuSl7
z6?@$@7!Ee6L8jeVdbJ+mU7?+EM2jk9Urzb-ZC1sMPo<<!>}t>N37`%Yse-ET!17}y
z6&>83oV(fqX_=ojhC!;>q^;p!zNn1fyUFvsVwT9+cYOKes@I9;POJB-C_z+!V?@Kz
z5=(iJa|;Jl&{?^Ty5g(=)wG5o?+{Da+|aMBdQOF_agAkgq#RsU4&UvIvP6Hx^ibU*
z1ykb#1v|D&LnCuf!=1yHI1o~UYpZ*6SI@FNj9CIENr(Maw_8F(eeR-_x-w4J{5L{;
z6TwAiO0t@{C4!n~u2yL%;RkKrxn4*JS6S~^6|d&bwEyunEEGks#R<ALX7S@{+0K5V
z1DO1E@aQ{91!&M~D@$9~AX;><KyU`osj((MOh6u6oVykXQEnuC3w@Hh0T8<PckmIf
z98?DVE0UQwz(u|7|8SO$bk3u^1@bbm+dz>rO=888uW9`$4?1p#`sFQ{Nuh}GWE7dk
zjK-t4lf>>@;Jt~oeqopdF4FSF%7vJ)mm&UeFpC9d!^h9H)r+A(>|y9OE=Cyda5^mG
zYmQj1_Q~?q`(;_NZ*&M?fN{aDg4j|sJbN3UUsErPQ=>kuT|5jp!g>AHQEoF#2mbn!
z8NS+s9l|Q285xjhTzYLN$P|-Vx*G1bg80PctU60$K+jFX6~h-M_-cJDB+pO)A-|?m
z_vSIcmg98IFvSE;Z|+->_WTHoXl3^@V1&d_UWZ|-F}5tmmDa}aq0lk;_xV4JFd1QF
z2%0rQ(XI8&W0`BAGIQyk$_FOY*OW6}+F^vV-;CQG_O5})PJ4fkK4u8<XeG{c7$Rrp
z?k4^typVd^al`o^3-UR3{5WrKi0rL8IZw)Y&^~N;%fg5aY1=e*oqlcr@2rC<FI9NJ
z8`yY2DvcegnTuL8mIhFYis<5f$qmb?TSUep2R<lXPnu}ZM?{t2hwxl(D2V-5`If{5
z_1A`)7oGH>HX^-2JChqrP9D2QDLkm0=N%R5r9n>4g{S%nH}3wJ?f)>$3&D)V;?!Uo
z4sF}m)3cge9CySxchs-N-ebrA=rFE&ftGT8W&{rs=hv#4^z*?bdjDGbRXt><4FG(+
zxU%>#P5Bo;?ne3?nX}MC;jDb!@prtqe?5O$b*&)$C4c&reAC52)8<*@$~DlSEiIn6
z7D8FNgKO=DRjx7y&SW*MMfDj<T}i4iIt6<tFWBqie*gdg|Nj)1cRbZ^8^@8o$sXC9
zW1e&D`TZCTp`<Alsg#nC)Q^&_NrY@IN>oZD)cKYQiJ}xGBvdxp^YQ$9y{<p*`*q*f
z^?ASL0zdNwhYDjURBT^szXZ&=Tt*&pFi_0vvSv<O1UIgwM(**Hf*9>5@AX<bt{%_S
zE*=&^{mc!~lcUnGpL<N<OQGX_jqp3^YEcZeyoohQm&Ln1#=#Gc&{19c`Dt<SN?5Od
zHWsm49`}B(IPKv;ht%oGkG!Q~Xp^fl?Kf9IKBri@s1Y4(MXQ{18^qBmUhVraT@l^o
zH)TI*)3NJL1^3*71n#f<wpk-r2@z`XN8i)v5Zb^zc*sr)v-ei_23IO0W>)0gYFj#H
zR;2u1byFIj&2n;ocBr7tv}5n}19S}U{c}%LQWp0tzIP1^sNqz{yuju(Iy^+>ID2l&
zVUpX-HOo#NzqfCm=<1+j@Kr!ho!u&=yQu7;hHD_Hog=u#jDZU@7W1Gv1&9cl7%nj>
z@DSLY`mlfj`dz1mpe{vR`J2;|IZwqC6aJxB`uaF+`Ej$w2PI4frTscf*8(H;dK2xl
zK3aaJ2w1#QMxd%*pX?586bA5ZD!*)i(7nP_>d#b=zG8ms&qF%MTG$+#>0yZW(4hm$
zk5rLxX3O{vH(l(MJeqsJ(Fm6l$9}!cQ^VRz$_zJkJy<?<<*nUl45xec=G-ajFnyvJ
ze2~<`dyCT86NgN|n`gf-AXo!$oh~g33e!;k=GwdQL{oIw(UJr=QXsAP-(R0qG<dyC
zlt_PPhNW14sT+b+=+Y`*JmR8(dNZRwmd66u@`4P%7E>{N_t;`#q8<V~w@);#v&4}1
z<Cig}ns5usH;#C%i^pkq@G{H_ZVye{C(|`yrJ2YomZyVv^RJ#8<`a0rR8`adtcj_P
z5_3BXZ9KSOzEfm3Ai1`wpVp;`uU>Y3+3}iCxh7D@_XUV<PdK@$N)wg`E=K<=pdiYd
ztHIO48V|G=6YWlF;%U6vldK$dSR8w%P<GiGfe!2X%$BGK4`6o;4_3vc6EcCBHP%QP
zxK-4&n~GxL^v`{c%82rk9LO55hMRH0vyl`E{1ZAZ`Kc>nD_5wv)vPu2&dBCQKGXnT
znqb2ORSuMnTCb)tYj^||tTDN-4k}mWExC142us=JxV6O^^xo}x8YybHJpbe2+cGhH
zeW`p>@4hwG*;`k{_^BeGY_=^mRs>h?uI6G5v_{wOjI2F2DtQ0$ljF$~0vNn>x57`)
z8tGS*nl_0jqwGQ)UHlF=eB#q(Il6#!qaqIf<^M+MWDZVdvm>xGoZyKAjO>5STLmh>
zwXlkx?!t;LUaf)ChQMKWp+9^k@&G9v`F7s|;kS_YR_+M_F>ZquDiX42D*vhY#&w1`
zuYF>T@vIe;$PZmpqS8p$dbObEIZ52SZ{+DuSYb0$$)toX3D*Q(ae3EqLaZwFs(-X4
z{#X|kdj^W*{q6rgd&~VJtS|b-_}5#Y>tc0>VB1RghVI&5erb#dNM2dzB4vRV#hS92
zL!wB(*%K!aH%164E&hGvWe&xxfJe_|L?9|+wRw^2AMsVIb;VSf8BX2!V%*;;g!ZZ5
z)wMnUh`O!siuMVap(DAC^1M+1KAn8d+7c5)rM#Z@s>7!EQ!^mc&(4p-VLn!B7bgkE
zi7`R5S`&mNMWiU6<b`->foq}ZG~vF+eEfyB2|De6_jarDpkMAz;$G=lf>T2E$o(W^
z99jD*u9BA<liNN%wosiXWQvQfvauQ?&^Y9<of;P&UM+6GwnaiT_hxyyzY#w9*qvSD
z&xyZ#GJ4auv7lnh8?#TnhKOVdDXi`1z=p6BIR;6rsNX2}!(n-@TLpai<rA0dXWpGL
z?`Fg0wcC0$+6|y|?M{8iUJewDpLlj@EjupN-5&JyFhF%+t|6x@2P(2<uZJ-?U{F<4
zsPkJNURQ2-wVmKV;N-;JRwphT|5sEV6rhhQLKEIxPdV^SX@ghkI5#d<nC{!hrjMF#
z>%UR5oCtOL&>CIJi&uBFu8Lh_U^Kv}FaIVd^zbovA(<a1yAA&q(-^2&cfL;1kqb6=
zqA!Z12tvf0`(NM(I%1U5?)OS^W8vA6`iWh_5N}S)N;yskpU0iu>o|Gf=D)!(AVLHj
zdGFfy%hMs<9A4cn$qPl7!3~zrMPdE9B+IOxh8qs*?H8Q*u<v4|zp9WJeB<hVL`Kp;
zd-CV2-(7y>=ulqF|0j;MpQdz4(4e<tNAws~5S?q?<ujHfz-gfE8O=chFQx<TeiA~;
z`tP4>Z%Bc$+hvwLR}bvlX{CjqgkhQ9IBVu9gHzvpt2j34VYWYK@Z={ESnz)s39^wx
zT5h@8FJV2z?OM<^>JtT@-|g`?wyWTLRlTpQR~M(l!VdLGiD7(vTgQ2QMTqYkxij=x
z7aokg0r4K<NL*jf=e11<>fGO6ShVXROR+4A_to<GE*cbUzo3j*`>_2FIrMPGmVZXZ
zN(w%l>B9{TDu_$sOwZe(2iD)UPwkqearDDezWd5*c-k@@)>x?r-LMsmvRGNnCwK%Y
zMyW$gh7u>DNrU5V6+wfo^0@VVh0vK14H%yLC+L2Oh7uJQk1h)ZoRd&EFS4JC;0uP~
zhq>rDxI5%zYPKQ-ZESPrTQ%|Mv+5hmEINwZ%O5x8D?#bOZWB&NZ7}u9-HSIe;G0@>
zY5NOhlwM=03xBMGhzHk;9ToK<%dVeP*{XtV3a%Gz*!3Vq-cwu@GJs8f)5XqdReWeV
z#<NwHhFffMoMWpDktjCb^j%UNG`|@8p==tWJ14HJUe2$?>oKQi=o&EBKI)jrNk`3q
z@SE4k#(1<dQ0uuh1zinXgKz)O4ae++A558mPxD~=45(mDUD&Ye5FOO7PTuEy%<v*~
zlllTh6SKEt7l*dd(Qh1`CpBme5B|vOAICJ|{ek`5sg-o-zx7`q;b)1;dhXUM*R-(a
z<7&nB3>x;^nnz>~SmEy66OCqJZM@<nAAji7ga4)eXe%vX%AJ#;=&B9Xa6V5_iY{EY
z5MHT`fT?2UE+-#t?7t%w*C3^hgt)_J*6z2)nG>sT4X)KjZ}rg#)ha4Fiof}DbXa3?
z^K@HGzZP;B0`-5*G$3=ec=KZ`8(c}{d{D4M3wCd~B&1SQ(b)3FH!j=;mVwSce<y0<
z8bctLqhARL*G(H8@7Q4AwXs)Z4i!0<c3j<-wF=LVvso<^*`V5Y%u+R)g7u4c?GNWk
zW6YxG&8O=&h>o-R>gJ#UgG+DT2@8tDh;!4c*8gmf5n<Y|Gph#fBsRg!Kf<s-yILoO
zSndy0{h5`fisVfvCwn7#A>fp1T|QwA4HcdWN4g3&nszwUTCk%~r1i)59BW8>%3jr}
zQNq(d+uyw!ULbhyxR%&hTcbHEwbEt3BHHiUrP*$rAU<>G8P>J|ZF8e9Zi}yiL|>oX
z`;GykbwB?^Lm)s+<P8cvD+@FBYxOs5y9j9kxmFWCpqZ~}ttY=Uh6)uO-dBGn%s7rp
zPS_BzbG>T%h?GD`yVPmoNEJ~tDwDI`-wFn!gK3N$F<8_+><|jMO&AIN93H)C35E61
zH#g>sBA~O0N0Llt-m4gj{o7&zgT@cXoI8Y3Sx4)Ib1w7quA@HnD=qLrBtTRrTo6yT
zd>i*S%w|rEje3o4HiyVmrE2aqKCHX0rqmM=M#TS(_6$lhgOP{Uor8<qpsW`>>h`dR
zh^hK2<JN78hwQ0T<wu-|B8IHrTzE;;PQ1E%&cJk;gDdjH3)rD9^)1|8^*yoEB|P){
zc@y|>tn=CMn+;yS+?pQ#{6x%YHoIzeFV97V--C}Htni7JjrS1xMo^5y-Ry0Rq3*a*
zqe7GggFQ8kq39$6I(+*D?ik_Ho$1}LMiz*X3cccEiNA;?k%O-`3K_wWi^r`(W}X-?
zNxHszx|c{#WBdCz#1N@EUb~PnOVkA$t*$uMM=-4R$X5&)z+`~$MBm{V;zIa1+rso9
zQD4?Il)Kje5tdjKkDMk{SNRml)r}AwF~Y@HzUf26R*%v9V~Y4Z$tQFxcZ@ji?RMnA
zcKzk~$c?uPnj&^NT>V}UH%??%=oN~zFi_`}fFEn8h#P|2lJ=jUB%)Fa;$wC(aB9c1
zDCvz;gv1KQ-&1MRME;|n<z?M;Jax_)kvcy`+~zD{uBe(Nw1)M9ulv#A$#GNd-oGiL
z%rtgyH17g2DLg)9%0fr<y&I9Xm#2vXrXN|`1DA;Eq9a$LuhL**B4#+hWroNc7#+x6
z!HRLGtkvh1_iABb<M-(Gv&1<6yhQ0fHe9-AaX<CKGGFgg7S!;aBic4?b;$X#0&HW+
z^HtTl2wLCEEG6d&(Mgk;q(Bbbah<Is`E}tgp>Q+Rc9Br6FQc()bD`e4$GqNE2UiX>
z29!@P5e-@An_{_maE3Q8%<Q2y+D@KZX+O#WRfiWzJbZk3&utoUOh6lASseQX+1Q}h
zQFJWNOaM`?)Tx0$Eim_bb^Fp*;AgPt@QZXI<bJ@HO}&~ZKR#uBER-EJmivCrNQxj$
z{nvF5Pfgg{>?_|k#DSx$#@!RnibAnNBY~rjie~Pd4G$u?;NG~TTEr=aZKwU-><*>k
zYo3%IVZ{TVeVh9x9*U#?n_C!Dk&5#{b$^6Z`7k$c*(Vq(3FU2+%T-Mj_&K~Sb2k=1
z#<OQpdB>%(_Dpl##$}#1nFzJc2@%5kt*mRdT$P2LU{}-4qZFLTW@~253L|M+vpl>*
z9;KG|0zBL(fR*fjMJ}RXwQ^5Z(NRQ0iDz-PCk4tEPqQf2u0+#0<%`)7N?4f~nK>3i
zfoQyw%X)Wl@KwH_$r(|GYl}r;$a@OzU%vdbSwa$?+*xfRCsiR-GPQlcm<sBBr}J8)
zQdoP4eo#|f9UncP8D4Ing1yAsZQHO6z<S)3QLBN0DYjVS6iuvG5I*o#L>|#MYPhYh
zP$9v6rokpz3ytX?Wdn97U{Awtli>qecs4OQ<=&)?_x@qeCOZ|8q!!z{!cGUfofeba
zw&=p^qs-+VHDzq(t1DMj)`RQfeZkIU4?FTmdfnV96;wBC##aW@5K+?jilRtIoAw7z
zldq~^ZVw4}-a*G#mfP=icQPQWSS5GHLLE=qcw$~FG4QdeK6-?y52Jr&$%k)gz`k?%
zT1PztdqOjtUppHj_F7`pdJZan&kufzanZ-#?xwKMJjOV$=G-B=Qxl6ZTOX{+)yLGP
z6{cA|%RJoC>lB-+1p^{cSEf=Q8SA(6UHfi^GkrQHk)_%w_S!D%9jA|PTjMv#bXq_a
znpJ-JI$#y%u~nDQ#~~m6=3CuX*b-Yj+2^GT-%9a6J<bfs#d>h8@d4gHUvWIFXPKuS
z@80+nbkP6)keA+SjZqfI^ay!9nAN;JDb}ioYtJ$!p=yJWQvny=@aQ4%uXN2IQyW<+
zZGBEnHdwD3dXI5e7ZJnfH$L04>~q^of(l)2QP8^3vvO7kBVxt#-Q{X%bQ*f1`_vZV
zc~;-J*_YoV&g`V1q%w>yjcl~-vqhvYGb68F3;HMa)bL8mLo!D|rfJ+3e7k}LnmjZi
z*QdI@>97Ri&5}jyzS%<gFr6H(p`d9C{bKS~VSHG%O)Bb!Ep}v=d2owrU^e-%Nb_$F
z3@v`W$hFZH0Z!HL7uKqw?~U@iF{c^gyM5cSfWI~{`*D}G=ftw__nEi5<o_Z%bCVAT
z1=%3&_(dW<R|%O?f3~Qwy=Bf9>P~abSz}D}%!b$(3Rt&J)K0_WFEcYiW7H_b8fG?9
zeQP(%AyiM}dW-!yvq4`+gE|XrE)YxgS}6_V{;*8bUo%Xty<7Kd2LpeC|9<<+A%S;j
zx_qH=f%&80l61k$vX3VW{b1;=gr9U+Q8I&tth%{*zda{`GLduM2NHyl|G8t|fqyLI
zx-q38XIU$BC9i0^<;ssR-K78l2UgNVIs2cPsU_Z>GG}?h!i}_-=T^Mg!b&FW^v@Rd
zu)ubmRhN@jvO_a|_{Js;Rx-y@H2Z42ISMQ`9o%+_1!j_Rn+`RzkQZyLx9+Mo1Gl-_
zs>$kEVl3*^T6JF*QggA|Y?#vwEjztKn$#wUi!WSvE6pu2-`-&}uX8fRn_1heQ_3TR
zb#FCAS!Rj3Izgx*Aj1UFrCzV4cKs#{*%bpC*Df+oXY4igA2x<j!Hm@6uXciGIOVHe
z`~q|P#noE7?TxWxs<mZj<45A{#uwuL)AP)|G0my1cb9qfo{(I){3BwQWO2>4^YhG2
zPS4IK3mAbM%fA!zyn@-n_>woXW}X?lQPaWUq#=%uPITR4Z)7rdw_bRlKhG=|7~RF}
zF#yYz`~IQo-<YdhMq39q%`@AS=^L0k3}AlrcvuGUlZhK_AGY3_XUZ3<6)1kx$BFX$
zUt48*n3O%1LI%_YrW^_dNe6wL3!#bCmHuJw%v^f<pnHMo^h0`YSRDfribL9ORR)-v
zh5vmU`?AQCf5@?J{W8y&dK`TC(QlYJtg=7u9t#T@f5Weu?<*adMyunyw~jJ*F?~Zz
zAG46RzG<&4^Q1#D2y-<fW6X)m!KafWSjnTBBJpd-Xh?j>X|O7OoY~wmwDp8P8yToL
zI{!49hRpmlku;-8X1UYxHZp7lIdQ|Rg<qZqJ|6Cl2Ln?~U!fFf^~dbw74=Lq$4?LC
z^<yP>OJ|tBweE#xaB-6Mk-~RX9_r$_?D4-PX>&|@NiCE8kzAyoLeJ|j6FT6Lp&eUD
zUtkiq7mHU?cu0kp28Hv>`}M7Pg7E|95>w{>I_E3XyrhZFYWAT_Z9EWkr^j-#lCf4(
zeB#smWJ!YCKiNesJobE$VQ0riD(-R^rE3b2*CG!Yi+O9IyzoZLkBk*08Sw4Efm&g5
zphbTnx_z0y_a1pd2y>866(7IhkrgEg&w%)~?wYWRw5<5=HYfS8{s+_U(n@lsD|d3&
z02NlbM-RSq<0ebvhtvWU#L4xQtT&cos9;II^60oJFWJTOGJ*fA1Zl>Wp?Zf#g*{iv
zIWcQ~@^<}<`Q;KR((|C9>dJl!eD&KB9D)SNm~n+J-{&%9<GOsOZDkY)B#Auq^%W)$
z#y#D@KPpGoWRE*`rBh%S#l_`ZDMB7KS*VS0Q6RInY}%icOu^po(tIWAE6HuQju^cj
zRV2r{KFPc)pn$NhtUmovjJ(28#F62mOn(1WDZTn91qwB9CB1h@ke)1?lz!H!keT`K
znxo99C~Di#&ZQznO6d<?7vHT$swg)thE!6)sO@k_7M39`baL+XvTKl%6Bjy5eKaw^
z(4A;jk|SRa2HY4UDde<gWzU*TS}>s|WdGi_itHaQCeL2hB<CF8@5uAh#`=`#`N-{x
zq?Ab4I_(46<cMgFPfVi@@})U$P?D6$LlG9=GN4O#p8fVQELaawgFF+Z9m=Fxy*9fz
zAB_zAO=101M#H2|xBM+*RdUeZ&Hn2EjeH{Ac3|`e9gpG)-fT-%BX3?;abdimld}bu
zhvaqj;TOm8oo_*%y!m7@Av%abigrEF@y$1YaLSv<kK8GwOK+907Qa3@l=`GjV1p4B
zeV&AOmr+TpVgH}Kf%;^r#DxuIk|uZ?_lIC%(IOpcM5Zt0>5~mt4{hGGWD2<iskhs;
zw8@vxFJ%9@rcdsTIa*yXYYt%@MqCO_hm_oG>RD^8PpXxid4FTx5|6Vg_iy0PC7(>G
zZj`^yApHdyzmq2j^jJG&-^<Y@Z{3gj(fgQAeh|uHH|PVd3o|rKr*z3CSC_*rp)~Ta
zq3X>)Ro3`nyu$nuhaP$B-ka~WGP>l4_30jqXKgT@cq${kT9=H9q#5mK(IkT+)4T<x
zY*8<vVE)WPmz=Mj6HnQ$K?cj&y>E%N#mMJB2dIa1$m5O9&1WlB$lvbo`>)sAqR(uc
zOWj$U{2=OCv{_S;EZwA)$ym-)^?EUbhy_jZx}$YNW0*8~a?R1GtDUxp@d%I}2&R&?
zO*4fRdMnA4;Si6Y5?h2d_|!^#)*w@)St>(#_{h`wRRULhZE-7QyYnA0buzH1^O`V)
zmDFz4{4^wDi-Vk}TC3Knl0#AjE#6l~neIEKzWU_afUEs<)Z%~2r1NE*N#bo_<|-#S
zJLuZr_1<H$QI8bKIG5v78}Wm%_7eF!U1W`I+OKR~2Ia}Zk@WgcUxtaZfo0_jG;6$C
zGKpE8Ekj1;NwWR)oFp9Y+L)|(1Z0L^`)e2~NqPh-p5MtgM{o(QJ3q((W+kF&4-&=5
zmBEK%n~WBTxF?Niv&RS=3N_i;*e*iqRr=N+mSRDF!<=GoxD_gQj;xBQ79`z6PCRwU
zX2D5WRzHtSOUwleRmj@#l8Ia6Y~<guz}ckEGLLD2)zA1_*)%!H&5;$Wjz3`mw~4-c
zM!z{)g0-ahg4xJL>7|AH{w&CIi#8clFvsTqtU@BUFEZ25=SLq}_CnFh%T-#t%+R=5
zs`34?Y385MRqQ=$mxv=DYCFE=m?EyJDlI|hAJh5*^<(<pMWRFf)SWYZCdg}iS+bUG
zkeL{=vehnPfshh^zAek#1Y(sqIaJckynS(x)~?cd!o1f-s6NpcZ9}<*H4ncrXAX4<
z5?u4dywKw5f?*@1MV%7Y*QsOvE)EX=5;8|{8<em5waEzFi;nEOv$B~E&yPG-k)9*A
zKK6b^eP)P5v)u}xMPCx1oU6j0cFht#mx_`JHA6IpC+Y4SYb4D4ZXJ>MK1&?)X%HAn
zHUNK*K-t;T-w2aRGj~4rIbv*^-A7J71K@T`(;tnWMC?=D!TvqV-qxd5;u)onTYsAR
zf@->nn{Ax}9|z`$d-r2TI$8CR`Q)0y1KJ<rPr>E$%m?#Co{_w_S0n?2VTbPx9_uGg
z9v*G{lDj~3er&S*!OeiNboS33NkhcGAK$z7e_AAxH17UqkVwbf+jIG0%_GE%`7>4F
zax5s`>NoDLK*xnGVzJyFV?@RCi%DAtSRnafV9$;s8oqN0sss=JBbs{IllFdNg)0&C
zpX_QHc4h1y!}$qf{m9vJ$v<ppJ3{vDsL;c&>f-eYj42|F;~<}|Bs=sTvU5<!b@79f
zQ#52`n#gcp47=scfyoXp$!Y^#*j|f>np@^5E!`!%*FQNCz%}jYc}52tWac>qU(6F%
zd+u55L~vuSD(j?qgEpv_oaZaPE)qAAwU!#3c(Gr>x$BOGHfol%YQ!(I!0?e=-tby}
z{1N9V6}zAX@0{+UZEsk?Y<knF6(|UYC>Kt?NlhI2*B-E6as?!=r%IY15yqj@QdtJe
zx!`hKC08Ye9i0w7yceE{V0}?&&fY;P+=N__Eyjth1BW#nHCE!Rl&^YxFclrs@-v)o
zx$ty@cj!Q=7&bL#cMpkC@$$rZsfsKfSe@BU9a-jc&ig&X!_O%&4*RsrCWjBlC>vS(
zS4)B9|5?87Bn7urj;(fV5Wrux_ZN<>mjTy!kOiCVa{q44r7e=e$USX)e>zwWpGx0S
zqEsl5ND3HJ@)UvB#=wxe)>UBIb5Grnr67a${6SQ$DEQ9bKYQ?rBGPAu_3!FZ5dX~d
zvCl>^ym0OQS|Fy3>3j3`-X0XBL^aP8O^D;xzBNmumsM~uU&Vi22?fHI{%o_)C822Y
zzWA4d8kUlkzkoqSgh0*r+xgN^H(S^4QL7H^p*qvvHY)Ch_OfI@lSTHd`dyr(ASC&o
zy<3GQ1Rb+08AI~8(sIg_+f@?_leCW}pS9qnDInpaqKKD$w60VmZG3uH^~haU2aS)b
z-u?4Xf*YS_bE~v2-WGi>fACQk+4<rpC=Zk&{Nf15ff+q0{ww|Ood*q~A$PfNajRm%
z=5WG|ZW<(hzY(;Iq~oX9i13(?8g336&+dCpM<+`X`<X@tr1aH7{lBQAy*H}ZC6s}Q
z|L}Cy!2oa9KYXi2P#`Ilo^wZDAKua1-EBq<@jD~_(EA)JWHT27y07S?NXPid@#n_y
za6e*je^?W|$G9G!tk;Lb-q_pk@=f7w=kb$EO&fel@lMxkm+R6ogj=CGT!dG-Z8luK
zpUKR_h%@?#@667YD6<4-+4<cc#C2h5u_E8On}OX2#{`Mz1kB>T&`c|Jk(8EHy=8$8
zN$Wyk&1S%Rt94Pjf*wjf)ivFDPXl+|OySc~YlJwSKOk$Wht~<d3nitx;C)2rp9r==
zP*hMr3A-NNImaaq9@T<Vd*1;LSzFi#uu2q#>q6KeDEfA%2F9kfHW((_LR!d5srIoB
zPB0fUe(0;BqOkChSGz4F`ul^}v$gRySN8ClONz_E-aM+rVux3W=?YXwEqI>n2q+Mj
z0i*FW&1u#at=((7S!<}^_zc?Fq?Nd7!&{!+Xp6yXTRYFnQ}9J#uaIF79~v0ah5Z+8
z@mgB_MEeeP{0{&C|Njh^XFS$@6vpkc_uku$8@IjkJGP8MiIQEUq9vrI5{WXN3K2~+
zm8c~7|0JVi?~v@3Et?*1&x`Zooa=L4->a<b2{{B&!_S|QIp<YP!F?kB{J>2anE$}*
zU#&2QY`v}I_I)t{`P#$FX0N5->prO+Q4Lints$?M+S&w6y5~jge@Vb}JZo_Z^b<a%
z2LI%0jp0Mc??`7YF^H(94PCoCN4V$(7liCKhL!3$+83=tu;Rs*TV%09RF@7n5Y+$+
zq4X8IpYen8^TI}R@l7InWvhJM62QKbmt8W82Qps7f9=qw!ZO~q2bLco$W!}S6fwvN
zfpk|^RDl}j&W-tUW*WgrdsFDyLN?$KA?GL5Q{$g`c30WUb^*t3Uhg+tOrZ9AWQ<Hj
zgL60=JXHD&LCi8J@JK&B6!!Jl-JYh#U%ewE?HCQAN8MM%Mu-MpajD*@e?^Ts`~p(A
z4Gn;zu924>u!+2`hzM#sQe$l=p_ZK?`oM3M(zC;38NH`mxR5YHg~<*dOmaTzK}X<+
zeN3x!sBlG5x+a(kYe+1-J58$x9}U9-xt%8vGixH#er75h;B;c4f1fT)g|8ZM)b%4y
z2gesaPX7qDYd@dg&eZ{KMQJqd--?DlddS}@+#*`V57X1{(18Q&3NtddJ|PB8?H)(n
zEh6lBg7nHUZ74PA$;@jnBHo@n%*!&qN%*8y+wnJQ!594nzf#UdqN|C^@W!`If<4!V
zL()(SSeqy`vjbg3f_1~G;GRu_%axPm*Go<K;PUId?1_Hjvej<SG3hNr((8SLxRfT8
z>|F|Yczc+rr=FVfeX>R5?K;#*q-uazgidOQ_c*ahWK5VH_(v3o%HK&B)Bvko`=fUB
zQ-p}^wb&s^DtzX}`tZ|Kb@=<$vVz)pmT0*XE0g<<3e(^VnI9$9fzHSNUH`%yasMz$
z5d5g|&`lZhwmb@i@9G$le7ZmshmdvBbZD^gmPy-`9t9i@T{cp5{7c-dG4dFdr^N>v
z4=YmtP=m*7hl}W#mWc#>too)N9X6#KQRenm16Q#Py|WD~M4YM6C(%H9oEP!D{P4Dt
zOzM2<x3boV?^Rg*Q8fd8`NS5!X{y5D1f=q$Y!LbE^pm@+c4E^?1EI$kR3NUygPJXS
zizq!*|0sH%5!Y+;URS6lgY+F4BppD7MUOoB<ob;n-=Q<TOo)<!B~YDo{~<ND486!d
z*uaW+<@S1XUseYFq=P<EeKhzgmr;8o9S1&A%CW#crUY-Sw9jPjqQgqvla^Y$II+ow
zpDVYU5)emk$O?R<$G<sTU#k4ah1ZI|v{m#f!iG=m-#hzv;6n8#_L-eLSlaZ8m&yr6
zh!>8W0B%McapYIX*T=kg;am5K2Mmf3yENEzXN3v(?j3!=?#7QT#6xahDIh`Y_j>Z;
z4p#il{9?2=2x5B?X3Mt$BnWXoiMY(!@$u%jrxR_3vHf|QN&8(Sn0Ry|x4w%5U$o1=
za3DeyuPD=tc1e-on;uJMt`Zl{D8BJ9a9kY!Tln%vQ<4Ni(Jh-RDctz8XE1H9ktFu{
z`}BRK0SVqNZv{oj@nX0>lz9BH6t1tT=m-oZ!P<01$zn4f{t&+9Iw~lGRc&^aK58RD
ze^p`T`^N(KQJy&M@myI<&30PG&Rr2=LcfRh#tY%(alc*O_VU;$RP8MlpAuLej#^uP
zCW6g^1SI7dN!a@4%kCl?Ww1?WieBsz!^*3EJ+B)TG4lF$xJ;1@E7z`k?n{=y+B>z*
zT0Bw4wUw{;{&!CWCaIU%?zKwdcdV5;dgoMdjl~8wkX8elFD0WOCXHj;E*!TJQ^Ti5
zVkT*%DezeY?@>M{gLO@)lrF8PVXj1e!EZL|fUK6@Cp5_7B~qsDXH3DZTEgiC=^9WM
zQ4|oaB9D)?PHdhJRL5W3EVzyeYk{wSQc-2J0_I3F6(p^w<KwS{tnU%pKuW81o9H6p
zK#fVBiG3P)ifwWuJW>~YiPC6WJ|(<$I$M?{R0B7<>&8AgrVs4}n_+HR%J|Ta34;Ex
z2Ik18c^~F#2x$X3&v%l^_>7aZQOK$~wn;ht=evUuRFrjmFkK*HzxiHk4Lfyg!7^mW
zCI-N*Cs9jWQNhl1hl_<=C>TGfzCA!^3=?&mba~Y(_&jylw`6fOd@a2|RlLm@gf;`;
z9Ix5F*Zz?EO0Hzg^HXt$OOy$?5m_6Q?L9k$&(A&-SHuNhKRqhsH3cjGjYZdSG9GGy
z4YhnZoK4Y{xpc`C+F}HzLs-f9aEu{Wk(@NHcG^nyFEIsKuY-$pb4qx$r6SDBRU8-m
z-b<6xXbPT|-K5bpMeN94G$uy~;P3CG$F;wh!hbK?FXao9@Tr1@8qF*&JoDV?>%xDg
zQ26FxOGT(WW^t0tv-M-bdRgvAJ#9?Eu;$hBOG0)#52%~`{!rmt+$Rp$Pn$sPm20sF
z*QIep!2msD!yNIW#gfzIx(S2?{C<+HC52B0mHK)HHWOmz8jfdKOhEbQObu^{1eSZ%
z=-S)Tftq#xe6EW(2AgnuW$8PjSdYe9tkB^Pie%f|`I*ZY!mb>0Uvm_~OdoBJrtDor
z`Bz`K<9h%C)5X45E&1^pzM|JqvVz9W{@a%>0N_9m?VYE1u*QYeyZ?&U(H*WACOZ)V
z*|&#(57u*H<6jbr?unbI#4%HD&we9dtDzF6)Ux45Rc&srs4ZmPz)@XwW*6)@knz6V
zmkD!rEUhKhZ=tA^-PHL>h7jHH@~>S00{~k<q`$UcwEpjF(iY0+QZXN^GyuB3!pz_<
z8m#c*{bnTN7V_WNDpKCihg;X_I%ur_5!?g8agnB*DB&^PRW5yfP=2)N^EqLapp&m?
zmi5>`osT`3<gV&LR5Wdo>cvHZN_XcE|I_QpGif++{<|*3+ZIReo1P)u6)!6Mj9f!>
z9u3cTit573Z@me#sZqjVA^4fyt5sCSI*?0!UI)Hpl;<<H|0X=i2lr;otRT-XPs6V@
zYr~(cbRtQxjo|hbP_T7aLG!zwm1%2fgQY2Js9|pfvH5Gy^lHa48lSH;`<bQ%RKMf<
zJwXR~yV%Q&M=qo8bI$H6j9QS|ZFHS;pd5YhkUqZOa~TE5xPIQepb5&p34UKU8c~)$
zRXlNY8C|ny4icKtfblaF3!}ZANMp7!OE-BLjpmfox*gMihukexe$0KSbjwip&dM?>
zqpG>{Y*-ykJCB@C%pO2JB_-F-N3Ed84OvP}zUpvh?dkRU^kFn0{4@E3`6{}ad*pQ8
zBn9jpciqD0$B?qcg=$mHH8l9UfiohA0{rVeORx1NQHkNdT$}yt=!BkD@emaSd}YgI
z*Z)o-l~5A9Q`QEGOp2Qyh*yJKm0h<p4$UGMXo=gcx`iTz=InxH)IfMKhl{{-$jQ^S
z>c;dxG~$KCwL(;Zyq;DhrM`gnSn2JbTA%`9@llz_FIB+)wgx&@xQO<v9RK0OP6N5o
z{)xKdWEhc}8{pl&gp{STE6&)^!YXN_iHA&v1rzs(+~s9d<rkZOBbN^R?{kH_gen8o
z`*QRAidA%wdvBkpDg)#c1Yg#!RRXV2Y1`6*bu{fZEhg8q1B9nif)-?z;OU8j#KWph
z<WKEg)>*^|K{iZ7W49FH5enN%r=^1VF?*KUQf9~+go;~>B=FUEzj)G+8Y<ibD*r6A
z!o#~(KfU}(U?v(b5*$whd~0{<%(OUw<lQ(bGo}C$=C*pzXy|}Xh9fB>mJ<xFR~P1<
zQGn>d&$7%9=wVO${FfVa+|U)kt+LLb0B?e+|NOPv0V`p0f8#QE;H*Muu~Uvb3^u3u
z{US3$Wt3=nxF;VN&q;jHKO_%B8BB9$^q7HtN1UgOwE)y#j13DGmWRwLTfaL&tnexF
zBa5|%5abcgH_0<{koP|Bz4jnG)GohH%Y7;WS|P(c6CHBU>-C|x#*7mpfc`=apE#8K
zJCL2*DF=1ymA6OValxY)cI$y{e*aE)^55*D9CRu?No2I-fyMFio<v(IczUfbw^2<V
zTKS&cBCYYltoKkxb*nVk#FgOnczN*im&oC2;s?2(e$472vcUc`C9YOT0dj9MTrjQ^
z1b=TOB1c^wtm_L6O<EOTP*l$N(~K~zJ3Mb6p(BC)h6)GuR}#E_#kTTOR}47VL=LM>
zZ2xKUS}%D{5q2NwLX7(*V4oXQQS~YVz5V1p@KJ_}>lzack0c?*omuTgn+gbO_Kv=h
zQ~^0%z8K*ZDR7crS)Vzg26DM}<(~!BAUfzY#nDp+-b1a+o&yx9S0R5i*h>KmPQ~}{
znq^@xuQ)NJtqyPVQs)c`)uBiAo0X2WJhXp5wx+YG4qP;L-^DC6VGDl!cESp97Kq9F
z+d0h<TYg)bK^v?u@=kG(6+!lUSlC^5O`y7$e63+x2k1W?lUR#Xf?G?GY(-|85E0QY
z8L*-UMxLe0XDXCI(P?V(sfH%7m6u)o%5MnYC_}e6JIEk==j76^Rt;#1cjr?#G6K11
zE$jX7RUrK!j$f11fSh~6-P<?`#<OC%?gvyM<D<|zwWvCnzu0tfQ8tFsul~Lh`Kllj
zi<XAIt3eOxNv#yO2~<rLr7ONy1@HD!YP$dx(7f>U#ivda81tlbMW0ZG|Acq({OePM
zeY0W`>cOVqd$j+#c)be56pp#Ja?8V9k@tl7s3}~we=%IuPlncyCw+Y=(m;07RA5px
zgU_uOxEu17;kD&3Z9E|cbDUJFE?@?SogUUW87hJPw1q9-b$$pP<enTQo58;5tL8^j
zNWgUaT!MKY2k7)VUw2zEg|+5d`i&-em~CeEQ~FB}r9^x2flO1#%-Z6YSdazpC|MWD
zlx4Irxo;uc$P{b}dXfYfWx&j$X0Ou0pJ-~R^GRj32`J^#v-XHd!AMyy{Va7ak&v{;
z<!HIh8;-k0KJ1c!FQ>+(Y*gln-#@<v&X*g5gBInZ?N1T-IAQlXGkT3E`;yvWWMB;4
zlW+Ck9u<V}b*`}z7b>iGO>3_09YA~OhW}GpK6o?fWq#y34G!L8suQjOaCq90L=xwQ
zqap7uW>3@N{3}Mig~t)NI9q1c@8^JG^7k!{Dmt8Ie#m$=#0V}iTqlX%Wd_G5y=Qrp
z>9NY&=UbL>yFfy4M_J-H1E{T7u}vG%<LMyw*U4`Tq40QH%f1gZAZH(u-@#9hN1pav
zyVq?1*?Py5{`PO8GA${oOSN=ZfP7E4nB4%_nmat^MVHal&W^qt$LVlbZ2iZRw)&v2
zc6LpKYYsh(@e5O+p~Fq<t;hHi^gtox2wl>lQRMFRNTec-7M~zx?~&=%1$6-`)rrt<
z<oj(Se6I;DP8tbnWmeM#lW04ql8mn?zVZE~-zzj&@|JI~Q?w3v`<kaYh!zo-g!>QE
zSJL3YTk+w^W7-gF)H(3udo!UQ%a$UMOM|uMxY94$X+!uc9@x<ABgS6z?<m-w_YO)|
z7k<!!w9SGvb)#XTmT+T<tD(W)(<c7V$ZJ7QUy|WB{|Vy9<SR3AdRlz$?!m{}shS{0
z{xO=QIYZ<m5n7kLXz{a2^Da3aO^~3`Im!NWjtCe&>5%-378hSCm@i7ufJ@lv8}HTv
zVSB|n{@`UgT*Lfk<U6+p9P4<n5zf9ul!$T^yxzY5lTUMXhaRfKN8Z)QuY4=S>LHCC
znbHi{O*Q73yR1408U>V<3a=3~f9NyLkayr26&c&kA_{aJ4MbJ48-y4s&gqidPOO`I
zzpu%P0*}QPw^|Lhh%Y@YUIFhIF+<K<P4|8^csZoM+gzOrN9!o$sOm7|^gq&XQm&|h
zjnj{O*?rXb*>W@Q(hv(aN`LN>C!q#*?-&$wZqQ(fnNV7zayHy{1|N%!Q-zXY`}F=Q
zT0D9zpu^9P0|#DY8+RJp_L1vnLwm*PvCW<9+U~bFaisP2iG8*z&_@?k`znC}C)sw0
zlPkIKbnzvMO(_|&ugNK#5#Ncwyr|?(7w5t8<)od8dSuWzs=03WgAw~3;#dAJg%^t?
zbw;v%RfflVC#9~YGGj@1sry@+{P@wCM{n%hm0=B49@rbtikn}2$ZKB^z&?f&o);OF
zp@HdM5C1E6Y`T24gT7M;_i$gCJzK2=yAQjb5#8Xx^>%+5oCZZOzuvv`o)4A4?CwGv
ziyjyDm}|JamtPzUG)}00k5Gc(5&N&#<G3-i{9FCF5(zxZFIATktprSA!|J@$y!eQ`
zQ&9evBz|>R<b=#iC6MD9E7y(V!yK0j{){_IV@mt@Behv2=u=;GBO3_dYda)}XO%Lz
zMcOK0<)AX0eEfLNFuf3t`L9kS%0dobRnd2lomK{!MAxq28DSikWgF+(DUU1TvNS3R
z$Y3e-vRq<S6#w(-&#w(3;X@zab<5?d0Fyrw_u-JhH)h@{D@Z6|-<We@6+Nm@Q{h$>
zr7nqgRMst%YL)Rtj#G~3v(%vY$I0YtUQ*b-tK$5}(<(Ukjt1Aq>lEPban2S>mBv{-
zFX_B#)$ojfH<Q?Pb+{1Dre@Y7gZG5S3O>MUSUKXgWMifVBp2!KS(A{%ZB9qJ=8jRY
zdA@^S@2n<VA?4?&9+Ag2#m`(HFH&%Y$mQ{7cWnrBp?gu4p@1u<RG9a=s$&!POGEBc
zI*{~u@=p2>5`H;5b0zzpI-Yv+eR2JP9weIQ@O~Ol#5dWVB(El`WB1QY55Md)fRO9X
zgSWesu+<~ZPs?8F_+IrF(^G=Gz-42pbx*c3zMNbxac`1>g@1`#7IYiIQBmW_bPF<0
zxN%|PvnB<fxF)XXYXK1Y%j70iJ{i-|Fz=W~YIxN%ZpM_|7|ep#FGseKvDO8LvA1$6
zxFC9?BX`@+tJ`#)50;W~a9L2P&lx3rH-D_E!r25eU5n34c#?6IS=Ot8PzC(Bpm<cR
z&IBHPMj{$tl<^GFoOI`)EZ&qn4FTe&FnY$Q>Gp^ccKK)UD@{!bpWqpvoU=2959i*o
zhqfr<&wBF5C>mneo0H*|$RSghR+-3>Ng!dtn1bJDTm<mwM|`f&!W7Pl@?Bk0P{33^
z&Eivkxv=~04Uatnrtnezhw<2RIoy0LOg3vb3wF%3?iXz_0hTd3sy}S9xNvda``$1u
zw*Fh(r+CQ(-aFoZ?|WJr*Vbg8_!qlMaOi$65)d!}y8xd(bxo4^UD|#7voVu|{WzU8
zYo0MQdYC#K)tA65CueAGk(!A8%=Kq)>l(v=)trl+rzn2@!9TElwFWIE^cne709XWj
zrJOk>gze)$2fLl^M<4faQp)WB8cn8DcjoZpY-YM^+HvDZK~~k`)LR5weS^hMIC(LR
zt4k5H;0*E_*(YCIX9QDPiATHhxUg!g(l2rIIRu5b+KB00F!!IaPC+OKPII}?VxTaO
zm_O_=aNyeo0Y2xNAI-2}eV+&G&yUWd<1Gy8-^>hQB{kaQ{a!}QUA^+0M{XYNP0W3x
z8)g7K`X;qOtPHr)TTuB<%p8){EIoYny*@lR@+Le%nilskGOo-N%%ZL)4@ZwxJt+7o
z^P4-C3b&p=*x=zYg9LT=8N`_A!D%t4yC&B*h~4$xa{S~eBy#)P;OhikD9Xbw!RJ?q
zx9kqjBgQ5W)3CQs*oY2j&5o%58eJr^KMj2g%^X8_l>};1K?er7j?FLD&JnkR{uP=9
zk09HUe>Alj+Q2i*JQA-oP5f$5Kljyp2$>iU=2p^bgRkEUcio_I;>2tYulczFRJOdI
z#{Q%h94iSQ-8ei<u(60cTfO{^`ZeO?G`loGrDd2Qv$>zR+TB*=An^-j=M7ynwbq1<
zORL8YMD-HNLrU!Cs2iPbSm<>iG$7q&Y4<_sBz$tx@7yTrM0vv*bb7iP@IyM^zpAi>
zU?kDIUAo+kUffV<Xe&|&h5NZr72+ER|9!ebHy^a3jN7RKJGIoIWJC57cU=upa~w6=
ztT&_Nldp8&7E>T`Q~eOr(idW(ZseM3Rul3frKS`k3h+h^1kyBoBGi9mw%oYih<?!`
zFY0X$-BXdk;XzkOlu1-ZMBQjW&X`Xr$XN}-HYFNP<z^D8scClt_SPf*AdV*s4XP0H
zcc|x_c_L9z#~jTURfm}V(1)!oslduD<UGL_g7ycPdp1eeA%Ujwq#x2M@Gg0IqSG@K
z*_=H!uq0lGzD0x_vOGYB^zNg3Sfa9!Gx>(|N^l)ozxUvU@m*zTQqg<LZvO@`IXh(d
z$=0L07IJ0xw|k}A$u~QUl8R7;kSPDULIYwwo~|j*rUY9e<^E-_i_!c$vuI0bME4op
zT1uQ0;dh?8?^=E-8lxXp=H_ccgVwHz7EiZ(<=%<{Q%8*Ud)+vGp061h8ga!vSx^9d
z7sq0A$1g~AwJJNwqy;(5GVXl2TLE^qNky`Fd_@oc1jgy5wW5Nl@2-~5<$;$tcgHxq
z3Jt8zu@%X-qnwKp%m--Y;lXCRoYUtTRQ1)Mf3v>>anje8ee#uqvn}L@Pep6dfiCNk
zg4Qn7={aZbRxb;z?Gn6+*>y;#;mScinjZB0P{U6NeOWldK*aZ`H=?LCwH$?0zmU<S
zWA#*y43KY`@?3t^go@kKSz6<NBddhO$(N!sFuvzirGrfi+F8j|z{N3ulx25kTHTk1
zOA+?Rt6AGn4YTMh<HtetB(Z5nK8G|Ezmzq3yw;9x#5eU$#|@*g+AzABI4QV$(khIO
zzY9rXkLb%Oqp0WDmBMH)DTve>JpSLYZj>VSMV+C095D}{dNh<Q2?aqhedqu7qQ7mO
zaOuz=BoY5Yv|dUQOlID+>U#f1%@*xKQDQS_Hg@`_(HjX^>yLE1I^B;@&AkX~{yDS_
ziib6fCE#rFmmRO44WgZMHj<&==22u0iawYp4!K@gdk#hpBP-`9nG?B-C|@eW)2CYu
z9_6yw-c21vqW&!1R>Tr=tU8pF&Lsx>oBAG4j*TOCi$=>@)>U*fSo*b=gD6C=$A5hp
z^auHuBq!Uats}aHjHRPVBH(Sa&{1kWgT5Ty**|$^3pujr9*P(i2E(PNjKh>UbcQuP
z!l0H4{HmmcXbgp6@Nw#?{K<I~<2*Cq7)=8n(ItH6QiVX&Rc+6F>mus>BbLJwN(Wu~
z{UP`1gy48SC;j~V5;}XzQnw_H0j!k8xLiX8!SRw_!bO`^<R2PyS!Z)69J#1FvA8S%
zL%wz_8$;{JB7S{&A%hvrqz_p4M+m?>ci+(1sx9<l=DfyQ3>!!v#WNcc0?_K%`0n32
z6-f3C*oF;pz-o8sR8l=ZFniCfFJT&J4{)MQdd&rysZ5J^<N4umPt&RX_jJ$@ZNFTZ
z#{(K_ZiN4FexRIt<JmvJ0H6EDV~AcpV0{~N_Npg8h&<JQ8D-4~oLOc5=d1-`fF~qF
zGL#?0GXm0@7MMYkV0|{bBn-vUzwXw5;D?Q7aYM;rHZWZ0_y%KQkfnNp=7hWee4exJ
zd%(pB|1mmcC38x`T9@0u>x}}Cy>RAOP%jrW=wHaEX_o@;>*}oWWrARG+|(_%od;O%
z?h2%<kO4^!t8n9gLXdX<Hp??=evp2kq<5uD4n`bk((zLf$diaVcGGLS4|b%7DF~9l
zr9NZd$R{x{im2beydn$}w85P`;oCfVQ^=gOt;5lEa{BjgV&Hvgw<|l73e*gZw#x07
zg7s@6238Xipgh}`IkWA9`|7_AlbmIMh4wSY&R8i>`?{8<T}XkfpZ#yytL5NU->F}F
ztz_Uw433><(|~s+7LUUVNN_V*My^0u4t|$>QgZXugwUk&&TJ_%Fg!e2R6?Zyo<jZm
z3RAQ|L0CJdC_xSWeC&IbFhc?rSqoRjTx~c($O&HURtN98XX}r8mB8_)oKW3m9mq16
zz9F)mM{A4<KHi_nz{$L2*7#2cemKXb+8gLXdFHxj`W01pb3ov%fUqv;wpMj9=o>($
z<r%7zQEFhxUL_IuSqEfp=I^g?Fanm&l5`500vmNKuTK2bhSat_75Cl(d=oBCTF9h8
z#6n%@jX*76`(u86S-}KIt><n@{GmWNMIcb`ng$q{zp0f7GX+ytgG5-OfKo(HO{FXa
zMAx{dlJA?rRMO=)P306Qk7+n-yr2yK7GKF^1e(L>+vMh^Jrw8<-Y3FkA`c&}MPJWu
znnOv<1MarRYH;d&(!GljlJH+1&4UyZ3s5fCM<$n5Av`Ka0%!!_HQmZsy0Hc52)un+
z<4p#^@4vb4RWO5&>&VwUItz#zJ1645WBcDH!+)u^E}%uvet(r@bD(^Pjb^{50EgIa
z=*;yG5j!87wD>ZbgILbNtS3XVF#RcTgENU5*Qyo^)gLi~k=ChKZ_T8^aA5K~lQT2^
z;~Q(q{BD~+CoZKB+dATR&!#r^;KZ5It1m)nOo5$h>Tj*T2()Fygeq|HU^a)-ZX)|k
zAn1bw+gu?(42&E}?3m-l&s(PYCUT9T!m)Vg6B}+=^<@1wLE^{%0{{U3{|uLTJd|A+
zhKaIoGnTP4gBklWW5(_wNhn*Nq-;e+DoRDAMTAnam6R=n7SW<8&7-m;vZO4fR6>cY
zMYeDLJ-_#N-gDmbp6j~rvNrh=9bp?V5h3nh*eePjK1b?a`XYl7g3@1p9tMcn`^b_!
zy$arr1@c}rBVlZ*(z}9>)}Ys|L)op)1?JS)rthvK3?ayV;Q3?)y+-cWtLCPx9U@P;
zd76`O>)oe~mnSXZ&SZ7%%a>oQyG*W3j|-9T{)kg!70D9(`OY41Q>kFP%PkkYZj-?^
zl}4=(H(0>Hsz(!3bKlq_LbEp>rpw?d9y$7GsyV2+hCQF2onViqv|Z@&lfj(=i>H2m
zGlPSlQ~fGc=GcDA-+w!p$l&UEp^6YNgDN@mV>>S_vpX8bRl>=feO+`t>Q`(Er)Dcl
zFWy;!X3yCLM^t67`DgiqQ5jRXlP8hC-eo0*{YdG~V9DU5-GRv96cae7*sU1-h!2-k
zOFLLQWKcYjcEF8j0#!>5<y*%EaF!x8v#v}A`(}t@j@c}*NXppm&LfO31S1PKh?8(^
zk?Rjhp9RixyTZn2MewO|<lkdSBqRkjlJgsxuzk*1eX&~%m3LQ<b&_Rq%DnCJ=U^t}
z=CSjv-ihOlQqw)UZ)LHIbms9efe9LEd`~}DN#Ft9bzd#A<uLGgw(;N#W7z(fyo!-c
zz$d#@{jyKWqtTn715(k(aN(~(Z_Ozp%3TUAY(A!dwbEhE^;X8<dd1`XgJ4PQ;@_J>
zOHss!!X9GY0>&V0EN;%fNeb)a`t63FD&a^)Oqy*U1H7WccLq91W9|C@eZsOb9@D2=
zaX(?e$e%1HLkAh0Hw`FZ-BQ8R-c`-&1q?9w%D9!bfrL`4`^RehRnaKp(L?7;4A`09
zEw|fG79;MgeWRsJ#;kXpqY4=eC_PwvbHh<N+-28pwDCI`pW9e>+vPEUU$5g&{B?PZ
ztDC;pTtUItLHDSK9y6eaFi<A^P64x5JmTt!QNx#op$GgwF(4@7PVFIr5(*9Xz6|nI
z$9g3r`<nz~cu7g!KfhTS^;372FKKEZ@#W4#!~Yq>>wMyX!G9`v!=?RI!#@r5ekoOw
zR$>hD5ro4FT&lRjPuKWJ9TlC*SNxq9WWuzT&+WB$Rq@y}i=RPfXn5vL+N4=D6AC4U
z-aqsu<4Cc^uP9SZ+^V4Gs<zC8J(`a^3q>e6cae2@W3MKXHK$fEFS4Mt<<m2*Y6{kn
zqPF`4YT?mXdQF192^?Dc{HNkJH5}kE<^R#4g_rEvCeJ^Zz~-LKPo#O&k^YpXxJy+V
zji<FH1=CDHo8c%Mou!VaulJbeI%#9;6dzN-!wk-|uH;=-*FZ1ojM?CNZOpk<;Qx(e
z4w}KGJbC#Vc>Uz>iy`XTh_AzbIesyR=Nj_t4?<LIemWDeuT2Yy>Sx?jN-RL=T8aMS
z04jc5)U%1(poL2-FLl(1Si-Tu*z?1AR80LcZc&k^iE?VmtG-gKpw;8{+tUqHEN#ln
zIPr>x`-LNWMq91mQqATyDxFlkb#;<&zL|=5q#ih$?Y4&S#6x;NIp6ov^?ipD$~7=(
zP5$L`lh$w~k@vy<YgGJGcbT{3h&nFR6kN(T1n}!y6kG73qP&mB(>x<JJR?C>Vf%2#
z!?$c1o!3AM&w>o4elof_{YxN50~lI#PP@iy;G$wfX!BWB^q$;Oe>53@e0JA~ql@ae
zD&8k&%2WjzB7VKh41n&J{uV|7>R9LQbJ=595yNKw@%3H+7_PJwPI{<@j=p>Es~?xg
zJ)UqEIP*LBj$CP5q+qOE$LR<wS@bvA{VFN|z^vq&yq6^fzxsNf=QEJO_*0dC9#{Z~
z?&+`IbC`^t9((n-aqd}a2&ut99N^3jD+4CyztZ&JJuqHL#L15u!=BaF@O!^${M8{9
zTsJc1<K#lXO!vYQch*@0Bex{filTx9Z?BrO$`ZJ3W$><?HY<oM_3i3uR6=2~iRi29
z;<&ZqtFf+|6*Nw5v9$13#C?t}Jk%Od449KTM{co%lr!8W1B>#Q>-}(Q{=5kOHmxxb
zvbO|o!{X$SN;#aN?Mg7K6vpE>$#G^i7El$$@@<ZjMZzDSm9~1qxVPw<b}QWid{6P4
z9oa*|;APWCd1FFIUOFpSb<-T|oq0oo_sU?jfXaUNaUpzgH@}BXHissAff@BgX*6g3
zx;LUDjQ7tEK1{r326x^(&l#wZ!jxbCjy=c`#%)}Ne)%Lba0q9rrVC4<PS`uyN)W-?
zWy>E&FPlQt9S7QIgd_$M*OopL6~(gE6%Em{rr`eNS?$R`MC>j$kn~w8h9X2A!{r<k
z=riyq)m<cF!!@CoBjVyHHOczsLgR3LW_75_Y9fAfiIWwp5J#$6o>%ol79<#mZkQA%
z;#>8W2A^#b=y)qU{>)kykV5A5uZ|M%p~Z_U0cr%4qeNLO^fBSWu+Pqz0RnDsz47Jq
z9|DH58fZaLOi+1W`c!U$fU=a;jJ6&kzB^%jUsR3>r8j&^z7vSpzd>Zyy+smTX75~c
zLSt}9dgXO+9T7>9b}x$CrO?sMBj#YJF^tINW$sBQ;-JXSFv^fL&TMM18&fg{=BH03
zr>BT$pWgaXU6h0yCdxOdb~E7SgK)X%9g^tgkQXAlRu+#+TF%C1GQfYU*B#wa&iI2Y
zf?=v0nkJsHyXwz?*P4Nhh<GV{>;7q1<8OJ~n7fZQWx#+mDU(A?V`)4#6>@#ZPZ7Ve
z{6sYc8Ni%4ytL(yG=5U^^bPr{gl$~D=0m^eAo@A3rJ+d%_eL$dg`2A&o!hALdk-DD
zE=F{?-Xr0$6w^JnqN+%~?sM@+I~{V>>*cC$%i=3#&tCo?s<^b`vhRy`bnp-|DK4mz
z!`_E!N}rp^NDrATbRML`SW{eILbp7Q-p*s5zemA`uIDGW^D-cuWRg?LuZVHG6V4vZ
zQNvy4XSNM-*8j|YP=R}$68_1rRlAX-j{6OAnRh}N5VGi3ZJeo$^)+(BDMvI=Pi<_?
z5sqKtj!|yd9Z^9`kD%XHK~xlI6%_g-X$(_>m#PPJRk3Pfp-6ij4bQK%x4af(49(YQ
zQF-50F#_eioXMIfg*n9A+)N;ZH=TKxOGcN#G+&utn#e!9`HEC369z|YJu|#180K_h
zDI;GCHyQl>5JYEz)7i8w1w=KpI$bq)%2FE#1{8Jg53s=d#iPDMjcPc7M}oqtwNdKH
zfBNSNO<?x3wYSY7b({$PZ6!$5!MZ0$x(C8cfhp(j_D@y=zr1?DcC*#NYwYtwq_t-7
zMEj{oIES+WPj!+fR_ov!O!WCiF^7xchm!)CRJ2MPtiLF!gKM)A&BAyrp#O8EM1Bbs
z$N7S9s@>DZ@c#_|MSQV<;G?T8$h<Thk2myVDQKf|zdzrmDoa@STvg7pr=d?vt*_ih
zjz^BpKk_+a1y8^EJSh#O;UYhcv9MJW%{M(x{<Yc~Mqi)!-g}USojmFZAIxd!)*tv4
zN3CJ&$p;?a{Au_x<Coume>G6Pe?C|m0Dj&QS18b>q2*$@k=tc;^my^}soF7sg{E^c
zuRc<7)<Mc7RZR_f8&W()ZUWE?xyWt%sHm}1U)i*TjJ?TAdtF}vl>ZrV{yD6H!T()w
zS*@*#!xan7BRv4I#oanT9W^k-(&d0=s50LE_=Vf;BLK0hL__I{I%adb4C>}7Aj!?x
zb7MPzWO?fi%`P=OHT%Z*$C50*sMydeT@5g1_4oQmel;9CK3*`KB7?+XY4@?q01=z~
z`-F`sI39OCz28p?_wT+Ow>}ggGpc^u0Z%eEUXhD$4<+K4+6{|kCY<+Hb<ZY8siGV;
zzsR*(0xvd}uHaj=26FGFptKwnEY!&h__0<TD_-W#tvhZFjRD&t@-HeQ|BjY%B2^UE
z9q&oM`j_M7L-|o5lZvQfdhc*QT^M`(xBaE=wt}0sjk-xY6j11oL!e@rARcv7Xm9Pc
zgdo0W32VmXa5;rXv?)mdwWHDwXgOHI{n*V`(y6j2>C{k?TF;MM-yEFIal|(1Av@T*
zo`lYOvd^q`=SN57wY~zX79cM{Tzykb27l09nv|&gX#e3=W&8zmD42OEv{^<PU-fHE
z%2@K_rpCFSHH&7@pCmi1sv(63A3WPNm&A{JYj|0(&kT}9^6pN!N@D2Si+dx*1u!|R
zw(HC{Q}E7sVG(wjhy!=WL(QKH;2y5N6Vu+N(0=*hF2WoERp`BT@3RGQ`gunGhj%6r
zCCKwf^B@7eCi^e3bA@m$Bg`XqqX`sj<no*nBw%g}?6Rp7#vGBE8r?1yM7USE=5zA)
zebZC_b_k22<%Pd3L|+z^+`mw|<D>)zjIYxDaX<{a?ZnH%elVeWXV>>=UkQAB&ROex
zv^X9Ows1Yc;eW<ySATsE35;9p6ZzpPfj#Z}gQG>65MpEX?wyYWQbs0vbr=N9vY%(%
z;pESZ^-CAOL`&c<K7F&>R3fH5AQ3h>7()?#<Br~Y5~vaMeSN>SBs%kN6ns6(0Q-{c
zbN&kws1nvk^0kq|$1md?w_RZXW5>5cI^G1-)_rlid6zWmcBG}BbYg(=#l}XFW&-Y4
zCx7a_E`v&K>9;aC{M^;^Z~YH9B6?m*F<^|7uxRz+M@n@Zo-dh5SB?<ze&NN!2sb(O
za?s8!K2L{6oy5ygS0wSm8bLw%26_DTVXIuTFCDnAN;TVVk;3m7b~wsS5l7$G&zhLh
zVXJ7Bp_-vIo}b+oUoftO!^tg4w-xDdyOEfrBQJwqixRxL?kdRj!G!OxFdba)y<Fof
zOG3}1%cFC~s`z&#erb-64m-`{or|<((NtRSk1B<XscN@~#bR{Wznr!DHD`UlmyVI2
zkto<T9^=2LMhAnv_ZNcC$)k?(r+|1VHPq{h@Lai$4)u%1svo-)IGp-Htd~*e+^39^
zrek!dm}=0|VJcy1xN)S7q6V(&Q|j`lrGwM7%RG0HGH%#+T*81t#l0U5W-iGvpq*uY
zZEcDQM)XxhX=%`Ks8i2l_elo0cnbAeda7cK>yxWwju#5IxAYxe;CQ*sn)!p%e=1ze
z*Z~AB+!e29tCVC6O<bu*B7c$5Y7LEbaY75V&X2F%uFr&1#!-niRTR{mSb6_dl{P*x
z68i7mcP7-u-w)M_Q$x?F-NLnjIyh=)P_e&^1)UuhBOOla7&}kKnGqdK4Y%q@i8q1w
zFXpBX2x{Q%$nE3v4!UT+MZ4t9UQ_7PxGxq{qk&%?ci_8&y7>1+j4xM!8Dv`VUbg1s
zf5((874JQ|_{gtM+uYk6lEwey`!GR8-S{@{>)N`wZrQ{8%YPQoZu;y&`feJ2j>!2K
zUZ#WD|D03mHdummp`GK;CK}$@HE*6aqm6GqGS2#1TR~aoKA$>aP2A$|<SfCXjbC~;
z4GEAr{5KChSgNOq0xi>1&L1?f-JM~%dBPeBUp{o}<BX@C+dR@AOT*py6h6a^0Bb+}
zG(5+dN9};N<3@f?KS*sBip>XLC#;I<Y@p#GqhhiAed=f<aJWR_GeC7<w%Pjt8lH-a
z>CUR7;L)Np&Vs@=5LrF=J)7eZ#UxX-mm=el;{%cNR2!&Ne<dzvPDO$v&72jif)_vk
z+0CNc!1VRaf;A^KFzd?lj(-`7xZhoKUy_~;*nh4Uds?B6tnl#aLveDr>Wx1d%iBPR
z&`{dm4mISLXxmYDM+P@1Msz&=$I1WYHnZ+S6kO?Gn`uar!m#>dH+$Z2_<wr#@VjX;
z4hbA-I@3hJWl`yr|E>UBR|yo*T;}AbvmSig8pKgY__N>S7Jy<M)n1yQD%$W))_W+5
zqHRS;(IyhWxXZd}TUizKZEFZ*SP0>MkDK*EdDc+;sbF`PuM+<7J{Wc58$Y_9vG|a~
zZw(EP2P}+o6!6^oEfpxhhtcac%-ssLf)^o7{lsZG9A0>$v$bF)%E_P0m3d<c+2wnJ
zzXi(TflDXly9;^od3H$jUOh`F@bMi8n~=duuf^JXD|m7H!NU>1FL3h1`7kKB%E|vF
zJ!bzZc#zF~^V6kqb9nqLrP?7-3cp<?)n6&$!DDY9jcIN)hxjDssbVKdwDTytoY=>M
zHeL0BHq~ZeKg_F~$>CKL?aZ1X2VU%bM9}b{n8Cx4Tv85)^ZMF;2@BtN(XaY<Ty?T3
z@KqEVE>%i!ddqe@)6$jrz*Ebdy=($Oie3^Ok`lPmbZA^HeHF?lt&+WZzywULlpD!j
z5XYMh?OBfbe8?+Wd++!N3*KlA={Kl~V~2t2jOrVH6n(}eld+Qpd~NQO+-x!QSwyS9
zBteY)uGhY5m<f*GE6aUpVo0SOW4=8pgrN!<TNXl@aP6t<-0&Asq?Ss3+rCl+t!*`E
zd4G&SPVtLVe4{8fas9{|ydjD`uW0@%amMiYF@MqHUQv8~8y^YK#gU8ce6XBk3?GXR
zyRu}&aOXGS8D6pkQV)h-Ia|Si?6g$Vg=1nEby{SPvMK=sS6tVfaAAPALajpHN^zVj
zxfpD0NJO^uC5FK?9o7WswbuBH<7kV_9t#giyk)B0o|8idp~)$Md#&Oa^s?N;EI|ql
zEwkR`xzOQ&rPrwlcM06*mo;GCE{!F80f8kPKL6V*M3?y?fev%c`yBO2Xf~Rk%W5zJ
zCA~K*UZfGQ_g5L8e}OE@MLqNVdcg=5rS3)CcPAnQ$M$X3lgAq0jt?$=M(`r_>kdN=
zNgS?DvmS0!K;I23S6i4Gf$3J;f+SHXOpA4UaP*uK#xePMk0=_!kIW#Fq_8w*#z%X}
z=&RriDpgMk8$qv}LyWMp45mLHeDa@~DwZ8j4lCw2g0U6l_C;$+xar})Z>!YF_@$FE
zdso5;qPr#5jc|HyGTTVm-++P>lS#i#G>zbNnDNP~9yv^YR@b7nMh!m_iGn9xjbO?B
z2DR8$0fP=NxZDj;$N0xRVs8?Rfa~ea(^G6kOv|`Bk#kxD9k%8y?Rjg&>FF|C_qi$~
zJEw1Mv6zZ`QYOpt4Czqib<)u&N(HYF9$yuEO+yFf!{DSsIw<#7c|3Dd#TU1)8`uwX
zxELd~NY!P4yZqNo4+ApZD5DOT{nNs42fe7O%?wx@uV%zeq@cE;S8@42Z5+9-Rq*VT
zF@)2C-*5j*!DFR}H@@m1c|D=!*?J~?ez??{+pC7JszUuv+|)(V*8V39eHNrS#Jc)d
zspC8=bk5RI55uc}SL{$T0p6msyq}UaaJcfx&CgYOSQL2sYlW66q$!A%k8P%6--5VU
z%Y+`LPXvcWTA6_#`7KkKNW+=-zxn|qdU(oR;g8Z5b5K}vyVG6C@n!XekYo9JSk81#
zQ95b?=~wT5PX<j)NC#gj2|aXu@!^MFrX}za9S<zt(!{8ByC{{Wx@e|nCX{%~3W}6s
z<Gp7z(RE4mbcdo2zI9DtK^eyvl8>)t%WC2AH}h@ZpKIX?9n&wJ&Hw>Vw#=4GYoYOC
z|3_y-O-vu&d1v50K)#LO<h2n^PA`62)N_D}C6pb<dIfBN!peD*m#K;IDoLT5oZeBs
z@%D!aXB#lKI^WJz*2JaHE%U7<6x_Tv=&9Z@8{j#kRInn3hLzbt%i)!(xSZEFz3s9M
zc<)}*bL%A)NoO1`bzV`%rY@r_)m$6!?euFY8PUM$1PLc~PVc6^xIrvPw}GLKl+(-e
z>KG(rXAyIPgyr*t&vK${!2kIKFVDOh8tJ)RUa?sUDJSl|S9Z05>j&w2#4*mfOGTh)
z909NK6Zy8t*}$Xy?_0O`a&i*OW=}D{IGSe{{Y~fvu(#~m`R1i6=B&=t`~HgKg=FT5
z##Dg%_d{ak6)M<5A6EFP&yV|eY`r9~2EfDj-I3yT%DAHGKvb;RN}T@|c7c1)8j_e{
zS*^B;=u_s>@w{&ZmWU?wt+wEJTr!CD&qE%o@3zZi3vuJ?!AUQhWGl!j>Qk3LC5yi{
z%_WD1EVHe9J|+C<w}dw-M^(jJWH8!UKWW?LMRs%K6Rb6|1eV0)F1D#OIyBdvy>V)R
zT{lZ<osP4BO^4TgHEoo{28(l2-$fVLH-)t3wtX;%D7RL_Pmx5tMOkqpg1W%=*{rdm
zf^H7^b$31-aU$Tj^bUor$^~{v$m7KSlFfksv^Qn1wFIWu$Sh>tTx9=#zaqSF%oHTF
zmp?xD5XaioF@xLFOYAPaLhEifQ?SL~X=$Qj*tLf6Fwl+*JpzO8$X1!asKT>G-wF||
zlDWZR>v7`~yO{HFocmI`Fuq;kyfEH!2(RumUV)}*MgfNDEchh+s$xDz2%WaUQ^id@
z=w4CXrN_^LA{<Vz8W6-!Qbz?AFY=;R&C#P5PBLMRw|={`w;(#7eSi4+*OgfOmgi-_
zqA}c}Fcxu106hyg633nRux>8%$<yP;;Iyhq;c%+}Zn+@Ay{&~GE67yeN4&<M{UO`v
zVv_)N?iG`p+bM{bqHA0CCNqH6?&}&gCV(%?QpISB!e~Dh8na570gsi5|3*y(QPB2k
z{qr#q45%yhDZNjJu>LRfxm$v$qZxMW_a`wtxghZ8?0QbF9v~>rtQNxYwC>Bov*H+6
z*!6k%ml0SpjXe^%h4Hp{k#{(O(?58~>cXi;aL&Pgb;*D*#`Xpe3Ih?3X6t@;v^0Wk
zTg#%(jf!Bth=0|_7)d-e@k>SUw;?E3uz!^)h@pZ<v{PNL6y|mwf5<L2gyGk}(t=FI
zF-x#pwZ~Bgw|0BPOz$*=GXv*{J2~rkaA81v=`E+Hs;fM(H!y?^pL93;crAg|0YZ`q
zhvo2GeE~I;+YsFC%yQ2@AYjCnO7VQA0`laqYGr&hfY@f%yQzCbOfB8r%pfQsrF8pT
zQmp}0Dbguz4U)KVP)I9ur3%IzIkNu5Jp(Wr8n${dC54NN83LZ-su&zuZp<t<fZv0Q
z>wQ=<Xz_37%vDV?>Ku>^TzFytIm99>;WQG`M<=)Cxl&MRxOdjP%K*IW>u7>}au^>J
zQR5V=hVLYOA0Fi~gvs0iKZi7Vyc^<ud;GaN?rr)Sv)R@VDt&n8JXwl3l9bh`D@a9F
z-{AgJ8HO-5nDy9UQVBOt9GPnIq@mENpLTgmhS1Pl_HJE(3O24|xs(=a;*gWeLDv&T
zpz>+e#lP;VxGnZ^U*eb+63-LIxn$`e-4v;v=}gA6D(_}x^mK4%T5?loGaUlV19>E!
zDR}m&t5oL}T^v>^n>l)w0lW9u4%BW?!ypFlCbfNfsLT9>D>-?lA@DtWi<>&OmL?IR
zef5#NLD}_g0uw-T@!On>1~Q{fqTh)bpxutc%@u_#AQf^Y$=Fjdr1Zv^>P7>UO_Usy
zdT#=cDjRPV=+SV;?%RpVhYiqVvWt~YG6P(?8>qsoi6<knL%bpkkZYa8e`j}?LyNyu
zLI-N%!Rtc&8ypNUi`QvLq{;%CNxGd}ep(n@w3EC3i$3-r`AeYiTY-oCdMD`7Le1C4
z1N%Pc;fS^!zpRrr9D4n8U!#^bGJpNK-F1?)-`j`1Vl4o|GXJ$SxM*Y03B`!*J=z#a
zVFWyU2{4hHSbBF2=Xv4Hoq^+;*d}^M(%X!~^G1^+dxW&nYTnr*ypxKXwpa@9&$0n|
z=~G+I=4+vEtI;RlOX_%c3+>V0uQpJ@b-P?!PzxL0xpuE|pkP{PhTtN>7E;w0woW@}
z;)*-%wSWJq;P(ZKXScL$VJnqp-L#E{#MNsw&K_4p_ldukw6twu2t4%SeK<b4K2oi}
zMiwj0c3j&dZ42EiJ34Z#HSpJ!KYqG?QYh%t^mcB{24dyzNxcwL$JNig_IrGgKpOGx
zi=sz1!1pb`BDs@-LEhe#Yhp!^^yyHu?*SXoxR;^3I-QIKSAWNi>+oY+^0BE|H5;&d
z%y^%$Q5CoEZS5Dj!-Ic%uKW~g1xUZ^`go(93VL2;1w5TvW?witozZsyK<Hkca{gOI
z%<6nAdXn!SJDWUm+)D}|c&z$FS&}?<B>zdLhRv`8ZI@TegjmB+gm?H~P9JICXY#Rq
z<s{q4NGmd+#0t2-gvc5A%b?@g&oL`)ezRwMe}4}hvV@Ntk`KQ)DTUm0q1s9MFSg-W
z!p=;ZC3I9St>bPaVmjCH|Jt&DvN7@6zK@|6P@bU~v7Sl5{>?o#o2-Ab69<a7etBRH
zbz!=r>tBoG`qS)Et1my<I@iq?2;An7)tuX^B`k)bUGps)HvVGA#7VT5yO}|SIfb0o
zB#bF<zYofXkFjAall<X^DR`c6txI?#h>3Sk=si0(&MqvQRmtWu1p|`fpueO5t`dwB
z7?+-8%f0GLoc1*Vy8GoZ$mBzVde>a%wkdY!trd1%wJdPBQgqACa}^?Y(aF^E8MgL%
zuWc+%7W@wY0RR6Cmxn*qZxqMvtn9tA$F=Ug_WT}~hLW<1jGu%^LZXtDwoyr<LUu(`
zk<Ir}N+ly(W$&52$Im}-Ua#kz=X}olP2^R6kaU<HSyLt2SAAH)vtG^2)5mMVr)ejS
zEI&FV(G*lz*0P32G=7^_r`H5kURRCPT3Y0)8!sWiwTWl_etxIqss@xX*keJ5Y0>Y3
zh=d03ZTtp*q3GRtb%=bq;^?wWgM9O9|I%KfLOWgAgDF1hup!#33EyeZpDo&+E7jB}
zch%Hyb5;!)zF5s~BO1h`t-@U|PK(6ZA`fN-s)4`OY1ffIG>FDdreQRW4%wCVJ7iF)
z!J}U9re^}Qh*joRFP$g@%9G-(Vt7D?cZp~7gac_&ah@A*Zq*)CY4^`;M1l;mT^(iB
z3$&>J)Zwq0*O<_;rGPBwQW8*VSJU-l>Cl%v{eiU;ENJbq8Zp_11p7k?Ru9eT(VLR9
z+Y?rMQF8X6NBuGpj^4N{$)&`A3}n81oeE$_4e<Rxm1H86@t>)8BkVzQS$xkd`Z&<l
z56;2NrbIa0b5$?sFe75EVjiCs=0cr@DeRY*RH32Oed$&V6Uq)vk^Jn#jaVKxGM#c$
zg}{6C!n8}wXyiSCv#py4%}f;)Rt~7Z`Bk38oCsFr%1I7Z^58?+Ut-gnE~tR_Hz|V)
z+H7cNt~I5eLjbXfHU3;?R)KVXl}v3`4pdn2>0oY`AWHdgv975^8SXztZed)U=ow#A
zaeR$18icc<#zD%EQ9_q&NaRA7@(fj_TSSq<iqJ%ug)%sqk|gupxlwVV*v1iBaTL?d
zJiu(E4B<A`+jPY|$dKplw?C>9NN9y>^z#vA$c%Smb&=#l$LS4RkNZfXOI>-k6PJ`>
zLRXgh%WHlVl73d~P_-1A_Hsn~kTMYXG1<kVf{338bq&%o2wN?UawDmL9j!0#8FpdR
zE-JXHktmBabrxB9>Q$hrGoX!YMg)2CP^XLv$fNIU8;su)cKc@ZZ^mm}45g1G-c!#|
zKy|$JKO~M2K_*#QhbdefrOSBFiIWwP9J_<ni;>;ABu<+APLM$N0=hiZa3%Cn@o#->
zDhcM$+{1Hal4$?evYTcU6=cEo$oh8>8R%d3;)jQ&P?nz4_JjATh$0oJ_jC7u?(w`W
zZp15ta>==eK86#KZWUkj=wo$o?kMKgI3SCLQhwAsbCFP!dsskZs|FZ|(S}R;%b_Ra
z<eoRTNyza?UHA(%EdZ%$OyY?=5=t3;jJ1<ccYw%_#anIIHyT&r`$_@rxmZ8Hwnjoj
zERVjo8R|lcWy-PqbOP!U4SsNcl7u)1NHmt+dT=nXOkXra5k2Ye?pDesA-A^DtnDxZ
z@bI-5+fh|QKI;7i%5o&Mb>}nnbzuy8GO1$)3zg7C^^RBB7l=si^!k5aEC6WiiM>j+
z$|%@dZ9Zm41&xxfI(N|<K^{d(Jybv$J#x7D`CGLTdS)5uqn&94tLoZ<lsP5jVj%s%
zN|S&NS};zt%2U92LNISES_$Qsw#K&YzT2ELv$`vW0)26rV>;7{XzH+GkZYVYQuZJD
zQPo0$l_Cf*;8R4;1hNO5-%6m;tdI}UYZTD8wdI)GOF)5_FMn+;5k>N5)+^am#=uI|
z$I|&n9$D59@0gttK(vR`k}4)C;7I>D(f_U-`leT)9(IizO}V_NbFZSn^#nS#k0P=t
zdrR(;yD}U4Np6+HgDJogCfya3CXL$L4rR}UGoS|iTG1AP0<ZXLvc>mFA@{uRcLe|K
z;PY(G-U{_b(8^YOTqRio^%YnIg>x<8cQl0Z``nG-uSvOtq@*}1=yq|t^<WG?!T9Bu
z&IUkO;K0MT?xM))mR}H6KpURFd0M|D8o>3&$tL<7A%x6x7d~kR;g8Mp2ak&ae43F<
zyU8Pfc1Fj0tp@6`#sO99IR^~#F4aYP=J2B1n!L{f!@97oQl|Gl5r&X1y8cV+0yomR
zBY5^cYado~E|E9%jRCAuN<M5kbD}ca6P6OFANzac4z~P9AI4PPUr?uKN2x#S>+@9y
zu*Bv0*rS~KKqWi<bSr}ejf;_KY%=??Gk;G}KA7pjgbCe))@O`pxU0b@$i5FV`YY-$
zd0!XyzZLh>9;Qc+WTXQxuy<o$Uwy6&Y14tKNW)iDp|nW7S82E{qZ13f?6MszsRMq`
zHf=Niqee=eRn6UnEtpPm;UVb&ZTQKNa(|R@2mf|nSBZc8C+0*Z4KM%H0=BDMev$PX
zxQE=xm2r+wm<;u(K)r$%jJUaSs?e<ARYgV$$DQ6_i?P+V-cg!Ral*sIB54`#bEaay
zKAnP}a(m~VKBob3^4B`~A1&hMvUBCuK9xB6<HZs^2MyqV@2q$F_dNdgUURX}x$ijU
zz39ESP91L6(q3pgKZg^HKdV1j`-NW&xy?9hpbnfoK^G^CW^s=LS>@Y=4m^LuoemYM
zfwQW#z_+X!Jcaw{-yrk9_~HB$=NwhlfZ!Zml%h6`ziBFTdh)RkpFfi1o|{Jo`w)G#
z70D^Qzx_XfO_M<!JHtEuK$Q%2OpjLk&rRZ*yrS10{2s=0wUjR`6q4Y0(hsqE+DY8)
zr(EdvwK2RrL^lN)kbtL4#mQ%M0#|L?KX_hs5<jx)e{ASG5$=so>J@NI;zA$Gn%p*~
zaqCfbr=xbexu=^%&bT&-tF-U+JLf-(e;%iD=;}}f5vpO=lQL7dah+jB#O55Hf90?L
zIa*bisq4muS*CGTw*2&#qy^lgZ_-^`Lj^XP3N0;EX7HyWlq4_PC0tm>>m1oz86q@m
z@7##~hhHwMVt=Bxf+tnvu^-J<f}QTU$&|QReEQr4@*sH)7u8%|iTI}odxuL9bNC$I
zB(kkbvfsex<9v(TbQD2auhF?UdLG}2w=5`nzlHNX4wx~IB*3z*dW1pw0$z9N{a*$#
zDzrMPn@-)Y0H@@M6-j%Sa0oiHvoD+)MT%PYu^1}AdDEyR{oBiUn!@E*o;0**SZJv%
zF-;zl4(koi%B|vrTLWrdujtSvk)Lk|Smfb#sObH*r8WG&0qy4H00v}U8*^JTL=Ju}
zP$e)gZs3{QlUb@hj7YO`p=EhV7UYWLPaKoo#(U7F`GZ7eBywm<Ff~vX_Jmg}l^mi%
z!bPXAOf0ja!P=$T`W+cyNb7oNmQ0Os<*8=>2kc1u<`4lM$-wzA+V(1LT9la^da6f_
z6HyBFuMMimz)gSEbk%%1B%)9w-}Q+Lm5b@CceYDIJG@=o<IjMsY}?uEF7qIQ^vmAh
zC~5GCuYI}Z!iW|xao4Zd@S(W1!LY05(h#%7DZU-Sj6%QcyIkfhfEF)2EBz@U4e6Vh
zwPgn@`e9^+{GSV<>jO`J{@x=E=ijyS`M9#91B}&5zD%Mh8C^CDrIm(H0^*{f{G7<#
zW#rrEynRTUJI6*yKpIjwYh8MhxzGfMs#^4Z3FICtnVV-S4dU1Hwo4B3AS&|>?~lJE
z5$9%9{&12s&{?oh?D+Z6217<p*EMORC&Cz}$}a<>xt{V}Yy!way>Wk;u`Ie_dN#PG
zN(MOGe-3P@3Zac12}XW-c~tph(B<tjS%@GhEo@#BLCYD3!%xZ*(4!~WCn`V40ebsx
z*kVBp1s}Z_Bdx21j3eGX@L*Sfa{xj>y}vuD(Qki<qw$eB|3wEC)T%W>d00vSl5bfs
zBT*7X%TKn{Qi$l>U%t=0WlAvVvfu5~ODR+_O~X`gMMC@RL`jB%s&G4OFa%eTL7vtk
zbkFR_Xm8$^`iU7LnCb@I3q`WXJenc+>|r%jEM?oqaGMO0XUa|to{&c}m*?d3gw&D8
zRYDV+r8?x126Ndb6p-Wfexs|E>S*Fdi@W1-O{lF!!M47N$oEysBM})5wC{Q->1U8O
z#HT!!aPLt<hUQBzG)*+nY;(7mNUbgi=MZ9I<W!Ko_(Kq3*FfHemQqEs2Cz~6qu9$(
z6}^7pV{kP@9i8*1ySjWEgTBpByMAUO%5*W0{uiZ&1jJ8s@{9x6$0fAZ948|C2|7n7
z12S6k(z^P5)d<2(qZ1g<6H(Q)b9lgWBKkyip<rc%0=nEM58bsRBL6-amh|(=$i?!g
zKxvLKY}?&9t|>r7x2@R~g%2p8tNjZ95e-ZraL6;~p`|K{I90I7y&#Rgv{)XHd2RwN
zzk56Oi>siw9sI}cWr(B9e@c-IUrc}@YB7X8QweF!s;UOi3!);{@@x02On~`7TMuE9
zfZTdE{(W-iL;|jXupVOqH^$1Do#_-1qwwDRN1F6Vs>?{2QO^V%W{wTEY|EmLrx@iz
zmgjM@^p~l{dSgJp@~+X0OCzf6zY5M#S=cgD^5;x*W5Ay0b*?o^BK@S~#urJmSi_fy
zw!JkJkaq3b`dcNAZ1*_+7?$0_x&{rD$JKWEL_aalI%JnirZ4Dxx21)PBaaWKq#Hp)
zK&`*u8$r}C6DBOz!2rK(7(HycjiA<OCBBG<51DrE+j@482`=6t6sp|?;OlY+-3l%w
zop@BdvzHle+kB(BL<7(t+@CCN#*Xy3Y<1+CSm5<d-`N0q41SmJ`IclcAyu0{(!mr~
zNWIhi$A`-hn)AN$7e&yaa^M`aI>iclgeS5oiUuI#>Qxj}zJmu2pLS={U<C#yfvF3}
z^<n$J=gWVcR&c9wOP8n#7LZ^%oh1>j2NdOV$fDvOK27tCG8n@G-i{}ghf8&Vc=37k
zC$j;(>cf?9QYtLa<19v;+|+>~!<H){V&CyT&wm;;9n8Q&!&UEpNCzYnPHq=XRAa%;
zK?~Pnnc?5dn5vfN+HfQ0RqC+OU##QoI^!8vX2_+J{S&yX1=3#Go-s`$SnWeEyLM}4
z5b`iK?>nglgjQp-%{Ma`PmSe#wmUPd<qF++jcbDEc)+Q~$$2d8tC91YBxZ;U9J&y$
ztO*NdGof`_%b3X*83pDwW=QaIej}5n0p+Id>w|~ZuwoY9P>&E6;966BcTPwHO4S`_
zE-Gze<wp}(Bo$d<sbUBtK2-+;o^Kz2%xq(X<bp^K+P$!va*E<6st&;&OnbBHsbJ1N
zEb{aoHh6LW**yJAH6Y)6S)?OI1LTlnar)Zqa3WLZim;{{oa!Y+(_Em1*MeCMX-7DK
z?w`Y8`42MiS=Q*?tEL03$>Ku`T%6D%e()Z%8yOzknC@j0Wq=$HMWz0EPIxm`U#U$`
zhL(pDmT@=tfW!7=zr_?6JjysSayyp<i4HWKqZ^FCoSLp-OvMAb<--H}ZAoy$w1Vc{
zZDyFziOQ>0<po*gfghbLB+zAScJh{Ig+d*bRO(<paLnjlDf&tT5iVcjn?rjcd?mh0
zc!VD)NwIbp?h(Q0cB4L4#SZ=pH93Ypf^d?PmNDC!2>P68{On&2Xm}dQbwfZHei}5>
zN+=MaB#K8Qdy*4u3L;+i4v0WW^I?|iJw$L!{E%kN#trs&juE*U#h@J<D(4zhg}1rY
z?4A30psw8geDwu!py>$rrZlR;vTT9Z<v3n&U43+c<BkMm81XsewyOgBPH&*aDj$dn
zX8#d>CkYqlOqDe@RpAm}<sI_?0U(4aa*2&gLD0|pU+zf|fwt7<DjSOseE$Is--t56
zUuVPQe3A&yvfk})E)@nsMifcnmMmnw78namBf?oZhaKnZqTsivDgWP~9K18`*;__U
z0;doMp)u!uaNtTh$ESk|AYs-+<PRbN@_m`>l`9U(f6vsM&m+Lu0cz>9tYo;Moci41
zodi7p`ueUhn-X9KkyGYnWbn}0XuDY{32ri5ms?$w;ciI=yTC0qz+5N#ZZ}E6aw;pk
zMY;;Oh}>ok_g05;LW-E}h%|(*e{oIww99AqC&}Ud8X!>Jqp!Xp19pcrWsW)!AvgCx
z4aXBrxVy)O@hP($1Z7Y8sa6nSo&MJIsb(!u5F9c!XO{<=t9eyx>qI!teg2<=tPcES
z%{C38Re(jghySR!NuX(VMv^~D7c%GG_WbTsfRkGLubtT;f*h;)ORaT1NNJRD8%`yF
z9>dS5sNMRr!SBzwdKtiB*8A5r3>4uFJ3~U=AtLb2TO^3K8A2!Zly7&wA_R3TOgkS^
zh1kwX>KA+fbbjOmjSIUx_(Wi|EkhX&GplL-Dg?L;Z;~;3B`{n&B4GAb5gK}2QvJaQ
z-rL%CuJ$W}LvO=iQJ@0&Eu347{b&RX`mOik?kPfhIZdoPyByq!nUOHzq`*+!aAwpN
z0gTdjEYqT;!ForWXTX92Yw;foRg4I5I@OcNN-GJ~e}V>iE>l2V(S*;<P66gEKlbah
z?t{ZqEeC3@Q=oI^n7gByJm>_9TjU%Sf{OXokYRrcjPMpS%SgyUuh5%-#9?0OI}-m<
z<M^)6j+bic_R4_go12D-qnwb>b$V%1kOGv4OjJ_$r9m3Uw*+ujIIetT+Pl>Vn)b>j
zaA`<E)|q#SFEbf{;n`a`jvGes=$F{h^xqOdg&MdUL#RQ$%EDtr-U#ZGLY}7H6o-LD
zS(f_Hb!?4Y-976Yz`tyjt_dG82)uV;v?hN6<FW8R{@4{DRjXf_JSPkdHs%DVox<8G
zj}7r|VZfbmY+fx+5crZaRWmz=FyGn{pE*?wew?)aW_OAo*zSMwyX)42c~?>k44g3p
zr5X9xcTIUgVpx-YZL=M_;<%%K>6rlpGF^{5;ld4pp%iiU#%65aw$oy9t3HHu691!Q
zae{ih&8@o!eqmEpeyon%`XC+mfo+1513cd|hEnza!Wxqtz3Wcs!C*{>SCIK$(7)%z
zA)?xf9mbpwXuZ${|8ZV%>sn?Qa8s$NY3aZY{Y~O}Kcxe=GF}<qi(~{{J`wZAh`(65
z82*QZ>45O1PpOS@43NFw`_t>4KCGoE=Sb$0UEgfgaZc-@10#p`XBSw9uoLMNg~@p>
z$XR&K=IKrgvr`li?~|ig=WtKUu$30r4-IH%%F@6UYMvK|nkO*Er8GnTQcZZ7VK}lS
zL=At=v$bzun!&;nYuo*$G~v{XI-(0k1xa)RIToUGSZ)`4&W~6PFiU=6D<Hmu4f6^c
zz2sQH?tjf>bE4bzQ~r2IG45^bqecBv1J4pxFiPIyzorg~S|55!EVi&5jH^ppaRvK1
z{s=~v)L`d}?Te`PO$=SBe=%aShAn*&e_VD+4K5lCFl{AmVisnZ1ssVRSY(Cir^ppD
z$h`LTQBT{%xDGv7pe$`+jKX1!$3w|*O#PfHU*9J7@qiFlyEYZ1FG=aLFp;5yG3cS;
z$t_GEm@azjE;Urr{IaP`AVHAC`-u&@ZA{|ob&H&78i-!yt@R<0U~Bwv@}aS9Y~=a7
zifm6hkj%OuO{yjW^;L#=7b+@v{zf=<VTT?bh#OY(?dFrhMzNjUODb5%xE^0yum`de
z_8-5ttO^e=cu`&Uqy}@tAA=9>GQr1M|M&z0RcJrX7#VPo27Vuj3Y)#o0vBK9{uzi-
z0W(MLbXy87{930kt;yI6v96|tZKKK{`gQ8BmpvW)W_<WdY@Qt$XB`UZ%#>k?`8=c1
zV|oZZ+9sBvy?amNqs3&(m4M-igv;9*21qZ6>Fs*N1v!zK=3JUeKshrU@bf$)5KkN-
z(=+pcx<ut#OQj-o*ZEs5a4<vrkyMG>sl1S-i7d0M6yfH2>HDH?7U1`aD6g^Q2P^tp
zB3r8jaGw*q+Sj%h8WWA1q%;J<ZiWBllY9b{UP)p0++>Hu0{yOkTEdVU-j{yuDglW2
zb1h8*Cmc%mE<Sih6xIWeCa~EN;9){fVT>;q@Q9>TZI$eUh#$=_cr6HU+wSp`mS%2P
z6*!-%B`N_GPdi#`TnW&ml_C~r$qVnLqW$DANkS=es$Xpa0VcDboz|Y?11yRwTC-mY
zidr~M9+)8j?`eC@wR{2Cdsd7g=Zp+&epO!^Kd%S|r9C6X4}>7&&bIZ|nk>Y{Jm72-
zP=YJ(c(Z#Rihzi}ZCd88SEtRkym-8#1hQS0YvckkcyR7RW&H^Ph>N<6P_e53>yz`=
zO+n&N63wY6%%cQjE2obzyQ#w0xOv#lk%0SGv19)=D}&dA{bogBM7SAPqvSj$3EF;~
z22OWXq3=#+UYZ{XuGyiFr-{3s>iYe=MLZGi93iwBMDFs^!A{MfFc}zf`id%SNbtox
zG${6m8cbaBEn@p63z;5IJtMbBU=W2Xn2|LgKt;g7Y2WT0ylh`bcasbY`k|zgyFBUT
zQ|%gdMgip7T{c+z$UyisdCbdO8+iXJCI`k7K!W<INg<;e93OT%TdAQ7XIR68&c9KF
zQ>V?^XqU-A;dsj3#ikFH5xSfVFO*=U>!<Hf8W~atWT>mB41n`@p4aFZWuUWr8O^-A
zZ(oI<&Yi8s;Ik>A*lb=Ig7NR;xFQL-(mKx9Q~`8i?$1goDzMl2$$%3Z5d<ye)5h)^
z!8P`!>*>c-AoJX!S;0kRQ1iYXA*xLQzw%qR*LhW7^G(aTzaIgL_FPkc_mu)EY6cbe
z<CVd{Dl*wvQx4WY5d&(8#?XG{Ns-tuB`BPrjvefig64MtdkQWY!+{j5X{8252zzj0
zDfOW^#LF3cSa@U%cVj{Y?ms5LvDe092R;kI<9-L~?HFU|^=wi9uB-qx?3?L7+IWB%
z6Q}>p(-=g9lIfi@<sf!I-dA^#4Mv~#zSdVX2HBwLI|8(_KzDsTvga;6yz>#W&*`9m
zduC~hy|pxmEs2iVF05ln2a7emL;(lIRgI!FNl+6oM-j}E*mDMZfj)W)<ZqqviC7Q^
z=R;Tjh%kP^?pkDs-Fs*Rvx;h8eA2{#aiw9ov8e+W=PV^B^BX}gs%9t;5r)&$8LU>+
z<M_3TJhg&k07HdxD#e=ukQF(a+HF3Emz#Apzn2CO?H%0=DC32ssN!1e)goSD_>->H
z9)oXMrWHKW+z=hro0I-)85b7PD)+c#2nKE2SkfmB;7~E1lVMuL-^iU}5q@j{uTD}7
ziAsAx-P<T!|JEwbnGj~`RIU&B5+jD|GJ&^Q%FAn)R`GGFUn-^(dSKvOU{&*m9vTxO
z4^D5b;OlfQx<%r8kWNipYYwJ?Oz(che4`aSZ&qy7-boh{ZzxgiH{HQpGu;+S?3VEz
z6`Qs0bR7s1<A3!_cO4_#c=6xcQ%g8sRq?^DX>F)ZlDFB9maum1qL4i6Mf~@FG{+|m
zwPDs!KkG@|9F}$B`zD+90?s`hTUr#a1!J!dtP7@0VFL{w72GcKIHP3c`{6lFXb&vf
zzZNut-DsW754kmmU)dMbNwCs{A63Hgy*&L`U00b9&*xdZ@Z++HQK<$91s-<Yc-4s!
z>mHl%h|S_uU6Qm@QW}tW@xaN@Lrs{vOnR|6=^t+G@Y`(Zkvb5fZcV6HS7SCx^UJ|!
zXYl(0H*=I3)PY<S$oAYL9g_#Fz`t)Am-6-E^9oUehkrR()e_&}Df$BvzDd)#jdlR}
z?kX92&&B4lmsjHo^@49bo=@Y?Yy=a}TqZ-1LCA;3Q+4<`q2~M2-P3r9z5o8+H4^xx
zm8DP%H{++MJ+Aqmp21(mS<Cf>k>F>w$dOa}?f6sKap6<)|L}I>l&YglBw!4FAAVNm
zH@-bKRw*Pni!Xn?-oyE1mzR0I8`z9><K7(ql~3ZcxVV_=bpcr-Y+HU_8~V|Q$MbBC
znBSYjZz)EfesNJ18Yi_l9;Xc8A99Z6Py*-iH_e6g$6lyF!}r`<?tw#iONqFe=-mZ;
zoNn{5^ln~mIf@&|+Ku2n1&*z8Xc1St)V;okMHyOCoJ*{aj^Tga7cW;!EaP`<gL6ks
zm4G+co$G+z1RjEP|Ea!R!3U0TniSpN-SdRL65Sh9I8io_>bJ)lZt{YZbH0lJWVb$!
zE5BxN*VbDVS~eSaLHEgIW&!~&2i_MZX3gUN84<>fFK^*wyRq7Ya0R$x^7^*P`W&7Z
z!$5bdWe4Z|y1*vWEe`=l2`-*q3-~teCOJxr8WnpRD>dv+k7V$U0oz=}1#JX(I$zSD
zkE5-r<*(#`gLIKO?cFl|if$0P4d{>z?+}NKfE+ljTdTZ}Ud1abWXC19=ure0otX7~
zS(v;iZZPn89sjEBo*Xy62i2M;cD!Vfg-wZ<Ei?_Acza~Z)!;qM=#iC9PvS!vC>7>k
zJ7}<jYrf!Me`L>!PU=e7SBc6%B-{8K#YHN#-EGUcFu{h}x&7u^3Z$W$x77R9IU2OC
z$aMK}HwXH>p5211q`^>nImU~g4!z}{O6T(ALUVj}imBUDpvU`BjO80Ws($+3PgIx(
zIXWJtt@|hiTTbyDu0?y0{k}0J#uZ+4x}<qvFh~ka&e!-pYh^-B_l;&vs05IQ%~Q(I
zF)1+rTEEIC$BN|3j$~Wu3L#=s&w`@XuGcO(_lJLAL-|7sJg;Agp#0#@fJbUlz?^1y
zxT}%_-3&i=CCYpsy1}JQ7j#Gp_#PycwHR}u{{a91|Njh^cRbbKAII(O+Iz3dHLrW^
z^?AD_BdK5c%E&57%FIYoMm9xCLPjboQphUzq)j$OGBT5u84^GLz8>ds9`AF``~7;p
zj;hvtYk-gpDqW2n9KRq3-=E1CSI+YxSN_xX8~0^V`24rJxX*GRG#l<c{7L}5bxb)M
zb3`7UNXVZ5x=$XCdEQSidLe{{N3~{mrSQnTbN;mYoIKnpNNk%O5J4tvzwe%8Q$p2s
zy`44h6(DJ&*-DKdj^w}FJ~_y(jBHa@g@cChfEEs92;7%MsqL?7^3+sOqFx`ftiBQi
zM8CUR{6HEx4O}c*byi0cUfK%`;{?FZW(5D?l0}5>etT&vA~LH|8xEOJf#$U;zUovt
zRP%gZP{>mgS$tP0v$IeK3H)cVuObRa@kQ^W(Et*%qV&)(ClVp4#_8|!b39V0?1402
zGUDlqzxY2n5;#11>$QAX3GoRzc3D|yp?re!zN9rW)Rk-<m|Y+s1E(U_XDeE$$joxx
zZCe}sGKYsauc#oahp{NsOB)GPRc8Ly)Pw8v1!mMuRdj?@?HH1#jhb!4in&q^Agy1f
za`B)#iVR9e3U1oyizrL*=3gTSfA})@MW6<1XKmm()}@6kW8Sr<`(dElu_7X-OhhIp
z#ILT7kdbq$r{9Aq0Owz<%Y)~M$TiwU%R7yPD(Afy7-=XF9XV>Ybc2Wza|@;pj}uYo
zvBZjsKNK)sA}TM$5|OfPwZ^##HPj_yB6{nM89Y)-i_SD7q8Q%y3M_>L^lj5<B-O<n
z=+qYCw;yVtCAnjxfhr1!S5N9KE7csvS~df*Ky_67ca0NYFO8fJmT8`xH3x4+6x=kg
ziu^3nJ)`D@k?81#W7woQ@RC4CQ$+<W$9x-a<l#XnEL&IFs?5PoPV(cb9svdT@&?q(
zF(4V?67^J9b090}D}Kf+B3?rpnuqw`)RtoN7S{zc;LoMA{zR{U4oUXXO0RWb55l(U
zulbsR(ak4wkwdbGbn6z+<bhS}OK?|`&kzNqVh`bhsnV#zDd6>1G7W^Tzlk2VqQI8}
z%3}*&5@<5}{I2>5M)>?||Kqe8Q|K;?6;_H8L7Uu}b}PSFfWZTUGC5N?Eg#kq&?SJd
zn~(pKaAk+JwnjszTL7jr5oRl1yy&0P>lcly9FS(k?l*=5FyAjs47-Fwm4~~`{*7{i
zTfnKY7h)L1GRijHt7Acwqioi;2XPQ8_Tf)A-UR;VUEOjsf*wi5Z`ptc4*sWoOZk(D
zF+9|%Rg}B<kJ`|)&u3Q`2TeAjzZN}>ptG>3rf6lA`ZGn#WBnH=oE6N{4a_uzmy1DX
z25<kON-9d$<fd^#U(lkT&u0TTL~{7I^L~JOu#~x7UxO3kb-dTMxD23D>!yp{#~akG
z8#3&V2RUH#LRE{Si$3fp3&>Scd$D^#dW*Dq9H4tVB&4fS55~HVc>Oe)!0c{0D~pA3
zK)`^f?gtJ%XsZ*reL-O!J9jItS0so7u8}j=>-}}%)_xZzT;4L~kR%`5ah(I0UFt?)
zKnLdeJxMnXtYZSglwjU39MI_89>i*;18gkw{I=DbSgn$sG=n)OF#Y{_uCGZO?A_~2
zc*eFdMgx@?>+gGdwCYf}fi~ovp}%o+d>2E>*OrY7aS$hT`(l5i7LYGAI5v6Gg19Po
z2xkTtbhaG}`AN|N6^WyvwV&uf#FEB$-hmr5(~sYN+(CvXLtQgMstn-ewKhGy!ws=<
zeoG`zGSHZ|HVmdSf{7dd4Z$WJnAK11$=@QuCx4e~_t%-=@a8j;@-1E{GKe=9%^^XR
z6W5IvZx)!!dgV5izy}laq)(H^BuI5R8g_h&75D^A3uLnRK`-`V%E1{;7~?oc)(d5a
zjEi@b-ZTopRw8$Ab*?5{s{N?WAjS##k0*_qb_L;|)XmORdrfHd>$w8`I7sgC{KDoT
z4CZcAdG11*kWt>bR(y;boS*MF=8lR$4CWHk{euV}GDQVTj`F~I>W41}FN*<Oop&s#
zAwp&rz2GAcUT_OBHy<&UfW@C4YlSz65IE&)p%BdnO*cG+Tg9c|;g4AF&PXDFM&{<3
zYJNDz^R-DlT^e>Lx|jC{5y4$4N~2<10MyGib?5SB;BM#WA@dL-ET>GKUUL$HguW9T
zPOoHP=vU{Ad;$>$MEwmpJB4AL*W^;{tQ@!(x(A;rBSIo2dS94}C>&@T^`li(0GR=A
z>#89lyzEHTu%{7+J25raKApn@Yrui3Y6VSbGSp46Ym|W1slXkMSBjupYsyB9)r7kT
zuH=WON<kKF(3$`b0qW0r_l*6~1V2{;Bv3C6FNV5S@LtLgTB(^6aFqn7URPPIR?C3C
z$ptpIDiwIUJ72y}jSORBlOe)&vLIqGZe6;n3irB}ErWiO;hnn0b4?@%Deu}UUP!CM
zy-`JCREHL<b<|w4YmtZRf(v7k>Kee6@zg}8MH?vptV+IiD?kIAikk&15uzggR~kB^
z17m4DK5>0`DF69O@wx{QgyuWmtnbZH^wkHS&b29mz`+CGBJL2O#eRS&VW$sK@85Mx
z*C@fibce9nioN^Ief(>p&;ahx7oGnQPk{9!JiQ5f>m>rqAAJ972srBN2OdVspeEV8
zqU1z`UsqXJt&SN(QHaDdT&FVR2S#;f^lQMg12|>>aucW<Y$)?IQh`UO<hkmK)uHmK
zMi}!l1~QK}d|pSYK$LqAg;iJ$e&t9EpH2tR{*e8%CQSv3=F{HeDJo$5UL57~n!;^!
z|5t|RRA4A2eEE(#0oqkrS7>8Q!DS&uc1ctP6tRZ=>+^WH+t;`~Hed?+vjw`!x0ONa
zuIc&gOnI0&yA<_Em;xsP9IVHt36Sh#hgoXK!g@Jwe8HFk0)Ny?QgH;}RH!`g`mq!Y
zw~JbMSyLcq-KeL9M+scsM${UriUB^lqP7mB0Nhi|<=MbP-rd>N+)Y6^`(thCpfm-x
z-K1pqe^h{5Rvl?gcs^Lxd796#XbQzogo92d$-|=`0`}NtE_inj`|_*86f7Sxo|C1>
z!Pt2t`{y@U;nm;xOPnW6!TS4rZ0&{&JU#ffO+1AGKA9L!Ti{ILdYfTd>2qlq{a;kI
z+;JN4@3(T2tpfNlaD~TlMiOYYX475QH?fv_fymEC02Bp7Qz%!(p)_{T>)`!Wj9B;S
zwB!T^&&<DOi(#U0*MLW*A^$fPsY3qwSP}zDsScZ~m@rsmbC7J$%wp$_$;Ez-CLnoa
zBwkQL5Y%r!kGL2&jYS`4sHeMS3<r?B2cHE$R9@jfQD-!XB^;v$rS%!Xw>5)w!E9cz
zW-ah%x1GQaP8u405jFy!mqB=DZXQU_X0Ci2Hi3O+#x1$H8^VQLUIB3Dg0daQqW1}t
z*qy-fXJ?-nK&bT{H?27i5EjMi><>+2>%w{jm4Es$&>@h253xb;p{o)(PiC+)eb+9Q
z{7)Z_o%nL*^8gEsnEaTUkD9}{S}z^$eWC})HSRW-l9@r+n@v!mauL&(;g5X6zQ>(E
zji*Ig7y&1`aNjk137c_{s}kAciz1_W21^bDP#Y=FdBRpOrkBa1OkZ^%yrioqE{`70
zILn371g~L@`BW!2GaWGWX;1F!qyzDb(Q@sHf3W_{a98eXZMbS3RhdMhgX!2)k`HP(
zvE1iJnAix~@LfGjH>Qae-fO<RvAg>h+bN6qjTLLbNhZtYjX+wki9H&3=EM%xQ7-<X
zOiBx==jmf&t!d$7O=}w|hz5e@IPA=d$RMDgIxT2H3sRrVcO>4>!lnGO^PGxgP!{m2
zVLU+#6?Fm}A$WRd@nzw~JtILR+s5zR0$Ol!Yq5^I%K)bcqpgQ95-45dWa8PT1$})_
zrC~KD_^jnyI^CrSjLlBx^F!%iELz>b{wp&qUojY-J*^3kHD-0(x#&Se>1_X>d{#)j
zf1)#rK@+^s5^<;B)5F(7z7HH%*<n`Xq)BTD5ngoKHuL8(fISoCB=>brNPS{g!DPM1
zg&U$L`7;=yd1mX=vt}+>M<K+ipBj*?!xiWLfC=trSr&Tl^-J#uz3SJN8qheLV_`VN
z49=Xd@98=40`0rjb&qOwaGScIs;bKhyrsv=f7J3pHmh9vQ&n}Ss%Jd1UBd<{flwEx
zB><$%ofztKHR$T@`}WM41Bkb8M_P6W0&iXV=D>b6xaJVVmaL2e(<8@LZIgxJ%OK5-
z=y_FW?Elmq&dUvta#t9Ny+vVXSTW?{eO1^>8S;LG=YfjVH)hH{;t-$C-|;n272e_m
z`@E0v!gbR-1u54hLHotv^{u0-uxrfW*qOrzOUqUt<NT%J3xDVEy~C<t(%kdS;x9j(
zD%(=5cq9W~LXwmIoKc0tWeyAs7X(3k!^W~{Qx=LoW?zXZQH5xKC1XK;VQ|}?eyHgp
z53HiuEk<-|KuJ2@VAUo9X%~ZChC3Btih+(TK2Z(a$o7M5_r+lM(BFmk_KJ|xv%M{1
zqz-r5+Z8Ff5`fS4CrwW)!2|n$&6_eB5Zoc2NO&p*YbOh<w_}u{nB@`YJt-pGqisHw
zwkQpkOWM|LWmMsvZMAmnXCh=pC26bj%fjHl$!8&rYT!<Z)0)fCghyYmX!)4Q0iPO)
z-eB+j^k4r?Yfd7;sB`J<kO+DB_~y2Zu`3b6nvDJ$<&#0Y_WM*}jRIWlessBzQ4{Ku
z{0y^twLo*|ZI$_NJP6AR7BSq=gz(-utw-uQaAUG(r%_%B)N)Qu7w>4oIr5lxWvMRY
z(=Lzs9w2~LbfU){AOUa3WN^Q+K0LW1d2-xM8N%Ab!mk`AL2P*Sl<c$tnA#|?3puEO
zUg@b}9u*SY^~&gX$ld!lCDi&h5LEa4$K~6~M@`7K$g?uFGl4jmh_C5Tg>Y%#__G8}
zs0tNlQeVeFypH#7g{c~}dmHyG*%HBm(Wle(H9*-5kHFjuY7ikj%Qh6M4*D~#=az#_
z!To1qoMo^Y{H^hNVY#XTp>0+;MotP8r%Cz0QB{K<pYsJQlnL;@w1UE%NP!xS;kfJv
zs_@90wx^kd2mhf}U-mHyINZE=xO-d$yz~rpv<Y(X%#`-ShKL!QiwcDHnZ5JwIgXK%
zG`v<nTyT|W2IL_Fd@Gdzeo4+ztk*=L$6{x4ThR<YL{E*J@Kb^;J2sxEy?JThIOQ}%
zZwA|EJPE5icnH;%)X#9?hB1A&Nw1F-Se2kJq`jyBlpg0a0+9t)>ifRSMo{2yZo5P6
zUJjG@eAIb=kOth%s0Aq!6d1`ZnZ4vF3(I)|YHa~)*vi~&MEwg>ux%d{t!|Zu3BqB9
z>47PX?{LIE11nP~AgQR~G9;mLi{GNTrxn|0U5wxU3g8;d9{#yZ42rEhZ!&PdqniJE
zBxLIaP@{g`UwB3suH$WX-W7bOt}KmbbxdO5-xp=CepC>?>1%ynd@@1hBqb|zGhjd)
ztTugQfe%~(M~LeFNloq$KF^?N0-GjzS#tF}puQL!rL8tg9aW6as<JbN=d|zip8Ift
zK&i;8xWpWFT|&tBNz@+iravfXzh(!TnEdy2YqQkW1BX<Ustv(5Vmvt{gas0xwugP*
z`b9n8KC!Ft+W<Uq37@8-8Q~3&YP7@Y8R{I}F8&J107iC4$5nsO0l`&sqx9@F6+75|
z`fr3j{5->F<d;SR9HbQu6SYZd*m1Vy!=Lov`x&}fW!isOv1ILx+lMjgMO<9AfrK8s
zJtAn&=Cg?j=_lxT9Ui5I<<a<_3)O|ygo{t3EY`7YO=jwg+Cgfo`wPzpy*i-x_}oi|
z^cBpCtQ#RV`GvaDo$};?t`0opwfWefwS=)f-D2-I=%#kv3YO6>(1vm03$NGR7qHBi
zV-eWZRx17~r@AD&HvGNwrDkC97dEO{%5shF4Rv2s-dXZRE$Gb=Gva3ai3R0+vke%j
zp(+`%h}bNWp)Nh|nr6l%Mzq_FK52P}I+IGdfO(U_XvMW7AbuSC{l`(TskH!mKo+uI
z7$d>v_LHd8{vX)Ggpc>Q-q&C(C#?1LJW0TaQ*y759L4xV|Ex+zzs5XuR03%xHQ`OU
zG>bsbFt(tV645#K0o(VMs-x<w2~!Tc8&B1SurQnU8gt=xOmcoUr+AeJD8I4H`tKmt
za8P1WO{5!pUC5+!AespKHf=3<h=Z7jv0;m@OdsaJy+p&uLj<PD-vtWI->^FzI|)K+
z{TO3isO{VR8j!}z%o1Go4Rie0V)|j<AeQ(^eAFgb9k8Ze*7%Wcm`XpB)yeb27&cga
zBD+Kl94u{IPrD6bhT+^4u^*$@p&jGo*g;k35m&N~R``y6NUN@Q%^Sl8uP(DM3aJAA
ze|%vP8bg>?zW)4ZzyxMX-G1KSr~))vDilKGFqVEzx2)#G6lPs`@%*PkWq6P`pxwkc
zigog-7N|!2!~$dVvuWlDdr%By)Lk6Ko)@s47^(k-<+94o>^C96vki~#$iF`@u@l5D
zq%@Ch-_T}E&f4>Z8FN{7)p6`S<$kAH+aeZKANr(vQ4w(CYX;w9CNSgry1L!}maxBK
zGTQZaieOQ&K<7?3g;5H=>DtXKV?Dj6`O~WLkoGRDKC^rp3$5T1NG)2$GB<=1l_l{Y
z_<ZHke8LQNbYE7wXxuvH&++V3MydkDi!&64-kik_-2Q&y<IN2$!-pXGaaSG$o|;#G
z_%@IEGWm&r8{EP)5}aqhhslGUF{vg+{Wm6CHrXfS@((-PV)WnisvKaa60gf<EMey!
z-m&t-(SU(`11(#a9K^JY2?q<WU>adt5t*5LIcrh&$N3#uVB4xZul#Wp^V+P6wKJgy
z*8aCYy;Ed??oL6fd&xSsG*~AxB)|yrxaUW7BxS)<hMBAA*#=hB`Rw|j1TzFNSLIvR
z%0PqxE$`au7RL9c!^_#374(y({!?*~frds|rTO50SdNa}pYa}cNSUc!zp^6@^kYrk
z_M$W}!tt#+JPijM3EscOE2KfSx5n|$U0PtTT$VZbfg9rE8}M}A(r~Tcrzh2h9%y(I
za}@n~fm(tS@mH3Hb!jsnN%_5e`!`dck-`t;TT`1oD^eikeaD?sjTx+1h?V_jg5X(Q
zCw8|&3d*hql=J(t!nUhb{mXD+7{4D^*qkH<30bY-7US$N`ro;mKPE&$R)qOiW3m*i
zx|9QBE)I%YRg?TvB_Q*@Q=5F96tH~xdE##?H&|FsGgs(K15<lL>nevdyk*@FfA;E|
z6Z!G^R=W($(3N;Jxk!V)!v(`rM*Lt%$8!2;yc~RsunK1Ck_OfrZ=&#8f>0MM^|sPO
z0p4$|G&%>!fMk-k<(Q)|#IkrMX1OaujKaP0V-#6XJ!y3C$5T;|%dqV!izYyr*GcVi
zJ2`M}x?0krD*+9zorIsSRp9rmf~sJ#Jg5hqR6V*Z1>K#wOswMS!0{mGnXWk=1X|6L
z{rqJ>{K@t86*D5x4+UL3V5$U{k6TGx_$LeZ-Yz-MMruM**%!N<5@q<^);lv?C=Zgj
zl-|FUBnZ50Qj!_220p)7S*z{w5ER7hHq=Lk#6w*6-JV4F@oFu^Ku`%9uNl+#4Qs*Z
zr!jjQOA@%=6&c9+MgVfRo8HJvZFr%WXJLI-3;t*1a^>l56);YA_-o>(15xF4PO&XI
z&~wS>Ae*@w=-6`}Pp{U2^K%YHZyoi4mUicvQoB05ETEVjf1(3&Tef&3b|YZKyu{-9
zh;SX-_O#L00o;6T=J6I2kWC8OFIYf?>N`#r$B$@(H_2<Fs|jEnm%;vnRug_&<v$SL
zB14y(WGb0~0`JXRY2~#w0dGn>x~@%vULK$CeRwl4e!6gGm#hh89S*S$!bEV-9PDov
zF^AVbk9YBJ6QT6|zW*+qSAkj|+#IRL9CjZ2;>Xg6z~cJ9+}<EO{5by1;JxiW7!dPn
zO&rjG)uGa`Y#$lOO;x}%ChddDag~0|SRI-fiy6%2MBwwIr=z$%-7GRmJ^DXY_^rR+
zON+z}N#A`RWZUn9lgGR)<aCvxRhBC^;R+2*a@dT-Y?wpbf|*V6k|NA`#P82w`icdn
zgk}Xsn!{s`-R6dD1-O!)M7h!Zn@YRrct3U44DMcS_BpOE2g<{hHSr;|=<MnRyJrW@
zK!3=&hGjw;?nP9YJPBh#mx6TC8Otf)(GodAvrhs#3HX->syGpgGw1XeI|cL_gM|w>
zg+VX1OmVS}8^yg4By9Vcf{N)(6U`Dolo6Pjd;jqu&Bc>ni~9kbE~WJMY4X6Q@0+V-
zpLmgV6J492HNe|jZgE~w>|kh<RokJ@huqrNO-d3lXrs7VWsw*`<933Tr8gg9p341r
zBgF*jgbS~SZR}tr5{oTer}$7%9(xw0z!=VcqzU#YUBwPpf1IXR@uAj*n%29oji6~D
z=dtJ8DeMA8p@T)751r|wkqKThgqI&A!V_XYVk}jz@#QnTC_G}&DM`%`j<hB}K6I^%
z%BdWjbF6_EZSYkbp`JGYS3}nSwB@I$uXbp}%(8e<L)q!$yzlj)H0b5g=R8YPnJ*0>
z9?6Ra((B13()uuVy~Eu2!a8-TwEm212ro*@JNmsbRu7)XqMc)|f2my2p%ph{coEO&
zAmQzTE{xog;y&HCOSPPzPs+K^i|8)D<+Sq9g}IvT!wnm>$Vk2>rg4N9^`7jETK%R2
zO@cW;c*p2bvG%a@oF*T-LwC$S#aRa;|1%K&QNf7r3}12{$m2utRaDX0F>ToQfy?{u
zDP}b1cyE|ah97mxCATvLYJ+;@(gQheR@5P*W!l!nkJ_kxMpKO1U|qpvRsD<&nOO4t
zN(~i2#H>w+k|Hf=IM@9j+hGpW9$_k;ZYhY)g<P%hGuML4{Ug4fE1ZbH;7u>0ErcFF
z{iA<%feeQ|ytm@>xloq!icOG_Fd9`ld(EJb46{N3^7CcfD2=@_q~BEpO}tleTXiG@
zOM;ZWMj8+DYm8jFlqZVLKMYV)6(<Ald=BOs!HaAbigz!si6J>l1C@Yj63pqN7TI7v
z#LxDX_{~QGnLLo>Ir)+V<r@i2TjBgj)LqE&zfDQhenj)@>s%5XI&Y$_n<jvKGzo4m
z4@;xZz$We#PlA{<C8^CyL3FviSh1QcgKz^EY56aaAlRJqzRIK!a=()3F(V_39_^Ov
z&RrqFlJT5=q_PO|yH;m^N=yzh6h)6LXOdu~q*?1wv?!WhotpR}DUVWccHj3`lYs43
z$YAY^7%C}O&<s&lK)p<C5&}~saDO*7=6XT`jeN=XUo*s`Hu>0N@dPr^cDrUo%u6D^
za;M*chZNBoNw50VWir@gSFAaiNuwtm`+pugsf4ToXTQ9iA%i&w>2SKB3>wk)lW+|t
zpmnbb=7`f;u=3h<iEdE_wN9IA1&1r6PqE9o7q+#)pX;CvO{*-T|Ea(9>6{8Glv6gM
zeV`5cj_>k4O65>i-v3l44yYn)t_GGbCv{-+U)=ijIC<oHCfcwDr-melZzjs<>B5Un
z(ZP5Z1@w51mfZhX4S5avUA33ggXPR?2A!&S<e=x&_g!2abxw&f@(Sp~2cD;fc}sXS
zSDD1~*hw96zrAP4FJb`R_llHy9w;K8$AXtOUDeU^f+|`v-Vh$~$_nUODxvDG0rw7h
zb#!ZrN8qfk5opygPNsD!q4TyrElg!<=+BCVB=de__;<@gtjC0aIO9K6P=BeSS>v<s
z+76n)^o(buUn&9FGf1XX&8nc3=*2${mKbCg_3rnrC7?V{Ih<3aGJ5RXcc4lTz(t1q
z`_U@`s-6h0>cI#oNq(0_HgZoNJ+#hwmw+M`<FDVkr-%mf<JP&l0m5<Nis{Gp_9yy2
z8=F!<QcdhS<$|W*d&6<UVnGRg)w<=zAt;ZuOsZ@LEloi`-A($8hZ15di#q$vSQcH5
zcyV3lv?)9<4H1&7QAEY2RTq|gq|yDEG8e88Q`oAK8S<IOqcca1bT8XTpw0A9R{H=`
z;A+c=`i#S)uk!|{UapFu&X|Wbq0Xl8b3Va<EUAEK(?sdThXql3`sX%7JyTfEH-h`p
z@<`D>He!s2A6<C5)LX=23I~Jea(Vaq*mWq6N&glP3KUIdsA&f<s1199=aoe?zV~TV
z2XTnSDnTeD6(AzeTtR_N2HAUATi#b^N0Co&(@@O-o_9ULbu&pLVR@hMC(<nFU*(3?
zr8x|Qg?`t36qH1Fr`nEOeaMKu2)Zw|TVwEGFyDz@TO4`pHr!FHrALa%vu7tuOrYR`
zzh3NFQIwo6*?*WqhXm4A1K(^L15<dR<T)galD%S7P8-sqFpd+POh=93S98YTDoF@A
zRMnr7yh($+zx;W!^w<bab&LyKd?$d)jTFk4C^YC~ku~`WqY+3O9>kUJ`9o<ft#7zK
z4YJAoNA>eC1eLacLnR0J5TB0p#p`}F=>Gr!0RR6Cmv=bTe-y`U*?aHp-ph5b>)PC7
zCLxs>X&|J?NPB9?FD0d+k|?xLX2|!bs5ERUt0aWV${s)eexA>B&Urr1b3U*4%Ty@A
z(;3Yn)-7$2%SIgC<bV<Lg$>Un$&4ISH-}gMp3vkx#c(G%b4^J!JC=^$e(#cC2LF{y
zJQ_MHiqcAv(JUhlJm=S8Ix}VpZ$?D7<`;<I8V`=$26CMEZ~k?9&K6TB<R5Qdn<$Lk
zdbt{JmAH`8!*bW*MiWryU7MhhCWJ~MB}wiqZcNnQ*qgH21dJIh;gT*vJh+i$K68i%
zW$W~XxL+DWL6`aG+ZzP2%H8r!MH4UD@_$zN4aRV?wRPyulmMo`brxD{$A|MR()J;*
zncy^gtFZKq0Qyx|Z6Eu{kLB?N-j`jNpq`R;UFEd^MtXdaIvyj44HvJHu6{9svgJKB
zUPA(?UZc)o!4yX8KCO<la3h#Je(QmznILvsR~!xG7sd7qv6?L$M$pKyF(EBq5F6#j
zIt2N}FxARA`^X&zTsPmmL&8-ED|T*JT`Vt-f7evIciAw&QYt^mP)r!_dhO}DWF>(w
z>cac&hYX=Nz4+a?d0`Z;V7vA!MiRrsM=~UC7y@&F#JtBNijPjmQG^I7)G-~JDRnah
z{}Vc#gPEdeQW7)ksw#t$bL|(O3K+rxJ<=%OMlmeEoOfX2x-4$e&t_h3pu_#@&s`BR
z;<!|sR7fSu<3h&#5?4AMHgvoTPZ||Rsf8LPfmQ`nTCeL{8%u}h$!k9kbW7mUf{n9(
zni6_wM=j@j(jo3f@Hws@k{EZ{xFqMG3RZ9J$St;^!zO$@6SOFW{hk$q+!d<WQC`m+
zFr!0?8@cEpRR*8Bdo~Evs^L&>kXRIp4*TE5tEI)sV&~!T4IN$TxM1;d`^}AX;8P<#
z9cq<Bg&$-72iY}IjnbU_W*;5ogNsZ(TojN!Q;HsLpoObcdJcy_S?NoiwF&#8h)Z3Y
z4KD?2W5cxuf^UirpFZEQcRQ?%8IqR*r0(jVl<jLJ?Tv;Yw~fhGFQ<z41^zQy+pUY5
z+{ppVT0@vrrq<qHQpKGKl1H!0l2LMU{@q!329#g_a?NH~4bPQ1><DzGVA;>uD*Xut
zT<+iAQ?oL6oqqNjf!%s&=f33FmS+TJjzLFSn>DZ~mV9+=zdmZOx$l%4&xBXM?6eZ<
zG|}8*U;6c6DwZa(_sT>W!-K|;(?L~Qcn-1@yGaK4`(9*U`Cb#)=b=^}^hg_rIc>T;
zD-E#m)X;m?i>B~ID^X$Tybfka<!k-mqv2xJS)romW>C2IwuyCsF80@IOY}<6&^N>|
z<I$)&beW{Q`Xfg|`*dbW(3k-l?M?Y4LA8YQc{c>>%1LM$+$1#}Zh*fG#%Pl}t$@2C
zLcPL*j6;9V&E%z0vC&GmA@z<md{zkDt$m%0Z$jk~boS^YIfy<n@QMW_@qHaeAISJj
z{%+WPHa+w(b97t^0XQSQ)l$Bdj5`A=`?%c6cr!1zcXc-am0-SidrC&LDYqb(ow}$Y
zO;xP1v4Kv?@0&$i$tXJV!F*`5HY&Z9Wf~{j!0uJLWm$bBjLlEmS!k|_qlDZ#=eIWS
zb-A<iD~p7cnlHAz7FEZc#UmV#e%U~p(f44lI9;@Q{#3E4TLm>F)c8gxZQx&0yrX!M
z4*E%)j@kTH0n7e<v^YAvQfErVwd$NUUf*v#5jiP?jmkzOpL!eUGi~{|D_RS49=^)2
zT-itC(cqSWOdGK24J)#D)kLp&ial$+7;;m$bG{3;fm3?H+UBYn_)PBIU9y%CE;o!%
z-q5gtp(_sY?W1b=p?*_CP}C}P2^7$2YX#V;v1OaYYgIhpaD;r}1Q*)>3cFf)0>H+^
zzJ9l*3fA5HaWT@F9iQIb#bZMP$jcw$zsIeF+3}+L)ekNbk4yB|3f*Es*sZPQalhn|
z{cp|pr^&O#@{7`IuX?TFe2UgO!x34GzimD8yl9G8b7X0zQr8+#{=&0wqB2<O|M7JF
z%Soa$+1>DRq!mo1*f1k~r7&S)Z^8B(6U6TS);q?PSwi{5O@+_361bccx>z7LL1brq
zc?n#WP!`Dc#Kl(}yZ5ztyX#I6nsJ3&5;t1Fp&Jh`Y!(&6O+1O$cRraQOm=Uglx3U4
zde)iWtTqu`WpKHhxH3sFjV(F&m&_p3yQb!LgAf+V=7^sB_>b_t;JW?3uNll2X%E*6
z3Sy{Bw5+W2G_n5l?(W;qO`+Rr^RKgK`SHott)0!wGsLrk#Pjn?rqFYJ%+$+@58cVt
z6Pf*U#IXbG>xnZaaQ>s4^?ULvWORSIMa(P^BxmdP!3pD)|I>HhB^O?F=@Cc`He4pk
zIz07agN@<t$;OHkcX)7BLHWtrw`^#jHhpSq2NS;g%tk*`<-uq5Ri17999TQMRW09>
z2|@!|S5AK9#x)Ke&DC2tu|D-{dr*rJ2)lBd-Ob|0B@ds_y>GcN!|CKiqPG!@`RoZ2
zzsrrX8*Nj)9C`52(U;2xJq%cvbM_wnH8*zG{q|&Z@M6q6lPjU&45(_%T6iYFgWkg<
zE=K40@QRBO&3(ZTN=H^DWXADeJ)f{~;|2lz`>~SFpJE6hjhoa1xp=Xs$U^pwxe%IP
zyEyhz&k**I?yrAb#EX}A@!k`$7eT2xhTzi=bjaMUa^vjTRhX#8n><n`iUHY^-O|x?
zXw7nVay`O_%i|B_i63I9>`-oPuSAEyYo)arSNSoSMcHkwDS^%8vfbA|(O?Ai*6eB#
zzz-H?)y%_^c&H|J<Eb+=*!cd~+YS>Uyrrt}VefA#v~f?KIqyINW6I+Nub0C3FNP}i
z;eZU*JoK@56Qn_U{V~oL=AyWFfu1$3E{9CZ?L+e=29Q)KO+7;r!{j;FD``XWm|NPD
z*cD;`eNXJ49;Aw+ar>y5PLm?`Up}*1N8bSG&%O&@bC$r48@=n^epN=b8$9{kd<HO4
zeExX*QAwO`8rpyNq$<8C9DX>qNQJ)}_vGq*kU~<+)hC0wYAC{L>n;*DfXd20tlbP5
z+$$$kGS{PyiIgMt;noJQUb+0ReX%SmY*Ut0)6v9|;~AGuB^$tK5D}xeK^})y1_p(W
zXyN|Hr)mCNG|=(7!NbL`h-arqPnPy*<Ad7O0>?aQ&|dOq{$i&R7DYLk(p+@$zt8$-
zp1+_$V5%vp^sNeprW`OmTt&j+LqFRTR=8P9+05bDuZr?(w-|@gDfsG?Vpw_y9saPL
zTh~0UhEs1sHwLHcA?H|h*76lY059ggpS&74Rk!)no<)7kUH7y9+AaoAK6%<ss%zr&
z*ranp4hAT+Y5s#opb<o!2$IVOElm05ooc|OVejv|a%c84p}I%>(~`e7#_GRLDlDL(
zj+$!UsYk{T_qd0jBSr^#p6xhXAxy{5<FeujvnJ5e7J5YHh%PE`ThbYEqGRy3E27&2
z%)mn9`P12065g3VcEHn@j>n-!i`rriPrsjg{C6W6EpG-!Oq<iOWy5%f`$kL1U9Y!W
zLV|*?3&Pj0AEKeXf=>JWCM(!CDRKSrBMP$EuHO0;OhXe|CSUJr7SspR`fteS;lZ3)
z=cvsFILMwyNO}PD>d*{vy&h_?zq(H(>*F8t@W75qfT=cV&KNH}OfAlnF^#6+i9=lD
zBFAk&Mzz=CorWF`Y?`V5EKb5628X=jgbk?6s<t&gr(jcx_5Oh~+W1ADE9||qEvP}3
ze}+5-ZO#a<@#xb)*YovDc-j`&O4_bcoyo`=TrQjjHC#M#?JNI1Tlkt7Xe#4ILb^%;
zch@#0{1jgMg(Jrn!d&0~Gt}2b-CeZdtBJB`C2%BN^pY(ooqX4+`BxjSJn@T+mzKmk
z--_~lf^8vc_VnW)H?{DJ-_5E_8Bt_!ERWrxV+%DdRUR%DnkXF^Cw|v}5BZxvh;@Cn
zfrZu4M{8Tu@t^k`e;9)kDH9YclXx5Wng3CMEm93V&P*Hc30)xm7JL#*Tj5s->i~fw
zs(8@!a_xx2B(ZZo@N;<;fRB<{dhR|Y{JrU-v(TeqLQDSuz10iARgCMB@E>_RoS9KB
z^65L_)?vEAuY(1xu}x2d5@d05_t~-ADy@WX!^pHL9}7yqCHzZwmd5?MC+>?dY6-Q#
zy4z-E*0AkZizwMd60g!uI#ihz5+*k~yUKT2fdeRg*Ip-%BhgKtf~;;34C5?n<~>U|
z73$5%P7%eYYgQ+G*_=qocx;tC_}v2THLezU#V(A~ALBOhyJQdr&p4YCH7sCjgvOpO
zngC{<A~Phk3yE!e0yh8IX%0FORt;bCR$=%Cr=GgVYGO^De%+l?GuR)n_qpFb9%Q3e
z6yB41PXs2Xd_Tiy1{2$UmSmphLb=h=*cRSqLilu6)bXvRu;Xmj(%TjeY`**Y=~wnI
z#JjJ*WP&P9Al)j*YH$lXa`XOb^zrT?oDSSpT%}|Jtxa)#=IU%{dD~OQ06sv$zhS1A
zkjQrKvpZ=FTtAN%hEkUZy3U88(SUy9v|RJ{v0)~3|Gd?txp#qxcvaBn+3}0;zEj-$
z+m{IecV2iliOv(GA7gcY!+#U6hF%BAe=ve@&-Q;FbF)M}Bqh8}7$xZHM{oMs8i8il
zrJ0SCS%Rt<+jcl)oRA6_Qc0_1z&8JbBbMniM54Z0KX^<Md-CTsUYaxDt;W@OTelfP
zw3t(Ec>NSnA*LMvs?rb)30AR>$qeE4;0^Q!&JYG~3M((!8iGM4L*Bq^hS**#C&+(c
zjxg{TS*5wcog0akj^x}KqOs+8M{&ynVP>=Q%wAtQ@D#s&?!Pimla3%~hUGG`K2_(`
z=^+|OiFo!N>z*Yx`5nuR{>g@cf69iukI~>O5peQ1&JkVzMU9=X<-ni|HgEsQ&>+n;
zm$=b1Ph7B>Ul&oviPaI)+?}BYu+fplCM>x~#6DN`@pI-z@e@iBj~`GWKz#gR(3vG7
z-sO{K<~$FoiVY=R8`p>BcZ2<zQf#=pb5OjceieqcRx^j}^x<0^n_DyoJ3g4pj($<c
zj|n<CyLr;};MA0M<I+k#xRY%1Dr8g;=c;OEcChO~jlCZ+MB~KrxUp$@2NC3>z0b>v
zpa3s#z@S1L7y9(=yOP&0iVYo!@p1iR_+<KJsl1aLKR7*}oOTq)^so6ltHa1pY?go5
zFoYNV=jt?n)=1!=-3t1tvm`i4Q7qP%<-?NoPc(UVNTJ7SB}cPsB#?`El6GaBAMXUK
zN-dCNFyZ8b&qnqn$o?T!nlLMft&!I4+a={t@SH`p4+jYjya-C#OcO!rxY+P_Ittk1
z@U*zDSr^VupSN56Q55_4YNlS<p@acDN*u&0bm3({k;Z2wan#xoy4c;Mf_paq-J-g3
z&I(=@&-+gT4_|)Ut8Jo&&wd`R3~twjnY$t4iLz3d6Dy)Ta!VaIxtUX2BuEfC@}x+(
zRvHa<IBBB1Cce$tx@jbq1f$7ckLIMxqV89Ty9@bRSU~#z2$xA<{WZfREI}UQ6OWZC
z`RQPMYU7Eq=VTzHDn@^$D`HT}zV;I<-t#T4E$#LL3ha8Zy-MVZGJ0q#hN=#bk$7bC
z*rrtvK4^S<F_fl?%X|NDnOEsyL6w*I2|Fq*1n&EB@{1a3rBXwAuTgQZ-}*<xoB@bT
zeQ1x<*1*Efys1(K4cVeE?K;Lr2it-d_T0xbk?fy&V5b-ze^8pPuhut&tf}|M{d=@9
zCc9aeql=DJ=k-?4oMOO+#LY4LY<2MHWnFqvk|Cz3L`^vGGGVuflOIo}E-nYJ=6fT@
zz^LOVQ@%YlhS0)u>ETl(d|cDKPGBDce=RpVPaiV{1KW%DT8$}qk>o*6zRAGnIdT*2
zVdhY2#wT^uR}bTCCuc4kWuWDu$iUhlOQ<_nH!R_yj}CWxMh>miZzL60>IPav@@gj2
zU6G2E(>or@h8be%z7vTT$pCHZC9R(1Qt?})tG7=C9V6r8oNFa*;McX+ZPYO;D%ho6
z?4i=|6l>#sV!#I0DZDwYK1#*4-{&_DhUw#tf>)+}H*LW@ar{(yCKX4Dp66UvB4ej{
z+%KTmfy2~gY8W3Cw_AR{v_DN7Gfuy*Q%JD`m!*eihjsLE*3b*RxHQl`#^=0sy&b4F
zA0w8z^l)$UcVCftW!ydaLw4wg9V9wZ6Ph28@l)TK8g3_9bPcm?KiF&sHv=CF+NzOI
z*4M54qOv$P1g0Ks&9sA^LyX0xI31k6m7){B;tlLs#ZM}|?I1})ll^^(7M4Azls_J_
zOnANBOQ+7*!r$P|jc<lEaFbsYW@r2%6t;ao(0$GpZVbFr`=_FgGs#Yy{`MkaBe2)I
zOUxExo?5E+`Kcn?+-m#$wr{Mfa+I8)D>e}6xGO`>RS7e%xgNAi9%TtWP!6kGdC%vH
zws&sv%i}{C)7_c(rdVg)leV8v1yK8SJYR4|8V{>{_VZboV@1e#kiumFTs#a9#K=qH
zmk@!N)PY5oe|EIKtQ8CDmOPmM#fqV>+r5z5{AJdyj897@>#d<g!jR-5ER4KgUt~-;
zvq9FLFYmi{TY;YYo>Q7xe8`o4ZS{O88_dV}pJiUQ1npG2D?=;(@@3CbM9LaAFdbhi
zmaDb^nyLRrQvnW?oBFI{!NvwbI{o>KX>&-Tj|DE=TO^2k|CkwO%PjGur~1U1=Fq(-
zLi}gnG!gtwsBY1FiDj<T*lc-lg{L91M_Oyg37OC4`%XnJvf`w-?=-13h2zmGp(o=;
z2-=eiJr6D}u-L4eEHBEM!Wk!t)oH<fL<J)?*y!~<OO5iR{p%hRxQsm75eL5#x8fde
zoRFGl%@%cQRDLpsojlHi9H-tBO<O{@1pGJ0V)FLIf1?`%Ex2^aGboFQJ(l}Hi8RN0
zuiyi0X-x1s^w3GPr;26Lw$A#<_$(_vC--s}4-@jD9W401G_W2=dtHD3YnIi^rj%;8
z-w3?;f1ayU`@+g3YlJ)$ontk*J<#R;!+?dj+PpCTZ>-_mM%{Ixb1V;|e!hhe27DUQ
z`#k^c2TL%nE4OTHj+LmqyvW;c2tM3*6#A(HEUp)Ip<kcOvlPOM>B6CgK;eHHtLQnz
z^37Y<PTXE#4ajA_p7~9OH`E8Z0o#7FWRqIDb6+m9bSQ1dOZL&h(<7w9fHul9@2XN#
zQ(k86?X-Mh&P@l`<nf%@yfIb<cUKIbFB{CXK-iJ1H1PHFG)Oa?U}Z_%Iu;J>Feu&w
zhbS~?UTBW?!bz69e_3CKBL|om<!soMU;uf`w=P+4o?^{}J3D*t<^-{8XClL^sgSVg
z3J(a+u-e!o^G}s<0kIw4iEvQiUzw+t$>&*?x&!4|xF!!AY53g}@2n5vwuSl2#5@ab
zrmw#9oEMnvPi8o7>Vf+!g`=nH7Fo{ghC8_r@PVa`PJPD&1)LXJ>7N#sS^Mk+iH=|a
z*rk1_CB~BiBVlcktElYoLoqqAC|(FokNS$PMKTPya65O#aX@N`oz0;(5xDkOx{{4a
zhIIi$*5w_X5Z;<$X-XFZ`>WkgeTqmRR%>gPv4tCsq*KSmuZqKu$DiNZut?yQx<<c*
zn-|<JjY(T5O2WJAf8Dy;bfNdkqZs$bRj`G}?2kpQ6#V?=e(>yJUFf`>=094)56Ma|
ztBbD6!06Kj*Y9*)$X3Y+vmFowA6z`|oGb^`akWVuGdhqI<P<4qCITZLdwMPxD*%a4
zeDr0r4&3Y0YkAfq3emhm>lRlj!}Qr*_O3NL;1XzLBf%1fIKDyC4UVed?N_3k)1U*+
z#clNuD<weS`}}!{yK0~;dL;G4tPWVPm^XtqNkQlxLuo@P4G^}eS5UUs1!I$S4cziF
zper>~keaCp1sSHYKE=AQMQyA>d{Gt#+vT3^a?%F%_5z>W4J7z9(c$-)O941KDj9#d
zbipe`wn9an3}or+A%S!y=s%zvDbq@V4Z|T?9%KrfYw=Fuh*tr*<wZyLA_|-i7+x}q
z)`RrSM~>PHs*qV|<E(T`A8tBVF@La8;k+qp%zL#uG_}@cyo@&hz4A&k#V!NzFHGW^
z&Cq~9J(ln1^J%bX9rG=chYqhz&Ik;1YeCq}(J#K2=&;q{r?H!}A&}?a+Wv^rhDHbG
zXzJz_?vAXn)vjOwm!0Vo#~vMEUR0|S6ktF`qTqTXA0}A4wFyeCCP9pFPbuRf1Bx`I
z(}R^wK>b~b#z+Pk%BMS;^?Df4xIMwUmDddR9P+T&|3QIRq1*PiM;S2W);Aa_U;&~J
zZw$L~>O+BElEjO02DIGZ=IT<k0(JIr5uYi2u+drUI%C3sS+6xx4SFo#Q$POT+EXeV
z{??$^5o8Fu1tQWzR{#_)y84DuR`O|ULhWV;I*h8PIKEr)(B-`40SSKt=%FngxL0ie
z&FMjB&DYxkhu5dn3)Tj3<J@Mwn`ial<&j${g-f=e(h@Hv*+>P+p;vlgi@K2Z?N8aW
zcsuB>P&^+ZMTPFth7ayeTJX8Tp~kVx4hE_hvtEem!<NwdQ|m6M!4ZcKmn;SBf!}rg
zMVI#!p!IENo9R;ktv>el5fOWc=$08xT}Osvy?^&IG^JqrK;*OXzjnY^di{9916^=-
zu+Oy=5C-(!Hn_cDrLQzKDeb2=BvGnt{GB+VN}=`z_}IZrI=9Z8h!!YB{E7IbKgoJd
zE$PbnZ3~-&*@pWW8W6$m%2>>7X4QMyuL_B?g&(`_U$gd81LxB$Lx;y*M8%cIt_P=W
zK&$7_<^75(kZ634UN135R7YJi{uOHjMJ5FvZ?Y9&quB>G^&K-r9`AXbH)8;q-|?Tq
z7Fn>j#QL`ti$vYwLVxEy0QbZnL@2sQL4cFxvxpKl{QckldtE<RkoMPAza~l?cJu6V
zD*efhaxJozW`C`Lw5sq@UX}<jlcV@gCUf8hn{dHfoYoMn{W&P<Ge2y#=Bj_w#(`<m
z*2<gItUxyPmzC`?9+-C`D36;tFx%&y{8lGR_(N;gY);{Txx5<<)wemYa%9V}&wdLC
zRo<<7Q*Md1?uh1p2Ul~T_tQ&h?+eT!<U*O)rT5dUApXla4|~`#i!I}$!I&B3I6Pc)
zlQPaa%DOis63vc0?b?p>re;7Ex4QLY!w`#*qdaQjWyic@-{=p|nu7m>t!xdU-&sNT
z#Qx6bu;Iw**R`)YO`zX!Z-d`N6D!X)Y;CtU8%BPc-qdMg0+TzYy1AK!EI+4VfhYww
z9KXH4JN3FT<nC(tGryA{JVO8ZSPm}}{v|Iq-&tb9^7w?Wq(w8)SaT$LRpT=8pxTO~
zC~SqZoRUpj&U6vCZaID2v~vGLfN#%@FGi61pGVB|y*~&Fw}Xw9G8>L<?0cc=W&}<a
z8JA1y1_;iI1J2TcY)JP?=2CmZ0Nvn|$7WiG2}W7;i<#GKNDiL(c+j2!<KyStiyr(X
zOj1wWxM|OhvEdXWsaivb=+FxCd^AQ(2DXe~FFTgW_P2DcHH0tC@6$<f6GRpFF*C;u
z4xBmuG3jk99qRWU<~?Qkk0=P)nnyp%iJL-UPkkUA{)MFF%W+Q=$vxLURUY9&9)8yF
z_&*w49BjH_)iy(nZRz0JoWYH!sd^Oi^ECJcYqh6}=ZNsh%kgysJZR{rTTrM?11*`%
zJ7NzPh%8ObQf{wR_-RM5`ADJxgikkAnw2dP7e>=!{C@LcyYb1hwk!L5|7_+QM+_TY
z8wwu^DG<Pm{i?lHs#HkHzGHXh7CSnYW_!wJ3Sl<+C-0{N`fzgl4xR%Y94K#FrSYgn
z1lO1(WY2W!K}K;#S%o3jO1`bu@D>q6muH2Y1I~KT+*QYEcb^+6+xwG`_=qF<N$<&>
zuPKm|>Qtm?%!`Fzitc)&1j=kZ;(o}P0@<goy2T8xLRnk#NzpY@_<T6z@9J(c#QgP{
zx=8TjRetYv1C!F2)*>Wec7hC1JCcpRR;~E3W}1jbtt{Sg;0u^HBEygDA?em%!uTZg
z%qk8-9%mn6!MXVrzuS?%MKDtocR5|w&HAp08r9!3Oxj7H`Z}j0YfucM4R*{97^q-n
zRMYp$Iug*V-PRs+mcYb{Z8_Pks;IU<b{Bjh!I;x|zkqj=NIP2X?N3(63&WRQZRa7w
z;qf<0y*s4wNN0+k;#Cc7I>+R4^diGInb4|znzHE96*1&1tA*6-J%g7%uH=X3<-L}i
z^0<R?qPiwu8~+ob(xaj%pn8#cr;}3=Bb`24No>-^LEnG8r&sHNPGzoCkhU_W+i(9@
zDnUm6?;us@sShvguZi$7Rq;<#^juau1v?A$cz0$}K_@DoD}IL>+FXif&7|vNb8d0>
zb2%DFpDkyJWvgQ+qe0^3Rs%FvaZ)$urNaS<rU$NL8W{0l!1YH04eybA=l&@eLLKv1
zVvoHRwr>8IXS{)q-}%%z*ZDFaCsa|&=ax3o#qy#exD4_0^iz#3gc1A?009604A*x&
z)o&CBaGNW8k8o`+F7CD0_i&Zcl&H+YuOT6$>`;;-lvGloB9X`{>-(f^k(G*MkBsac
zzyAHa&R^$wJ?EVF$>&arV)KgVl8WG|H^~(A^WJRQwf#CkcJY-vf+?eKsg*JD+Y}^r
zw3+eGrY=w=p0qHBkPu6af%+?LDpI!P`)1Op5B8TLx@k{Ukii~zp)(p(^disl{h=H~
zP&{Qj9q?2YeR6CVA0MZn;-J#7-ATsq#f1Osq>mcvukN|VW=}yrWg87^moWI7LMgH5
zAtSEmcV@J&Yoc+R#@=7)05yhkHHBVe<WQw=#^b4hDlD$??)Nu^``3ch&`mOu$~83Q
z*CwM`|AUcx$!3swq>HJ^k&GVlwd=2wRgfRcvEC=OX3*pH%!X}T4H4&>2|i<rXbjW8
zHK|X7yoDr%Dit*pdZIHEyCR2NvK@liuG66J7K00stcuG1PM*~fmPSh>!uut2Xwdk^
zxn^XUg!-oSeeS1-qf+ivs`tNqu`O>kGhP{0+1Xxv;wOj>XC_bnzDa|SLbm`SqY^55
zT~%mM&5a_ybtWbrq`@e-KECLnfWGqXIn^}HjM6B7mxnjZfF)>fmsh47(owN{dTo0h
zS7($Ha(rM00@GwS(McK9_n-ZE)wc<}eahlAqp}%nX^#3EP^D48l^8BUdnx|lS>p=j
zttou7e|hi}hZOo2B`Pqe(1%qN%Ekukn!-SkYg$Q%I6Aq()51S6h5eFZHcl%CxSi^J
zXK#%N63`m+`EYFk>py7q{v`k$rBzH|V}fWoq)%Uve+ApGwH>$?kHPBgRYg~0ek2=D
zFOcrKh7nI*bYyv90^tC^LmPO|>Y+l_ho$S-;K_uB@DIiymv(*KPnZ*xZg8tn_H1BL
zGIf&!BSv7h!zpo<nSh?^7TCG%-oWmcQhG2xBY1gU>hVcCW|UD}5Nq7Cj$Qq9_Ja3r
zLtysK=$GeaKwRvOC!&?sF*&`Drm~R+VC$bM^~!JyznWCybbs#}rV#37xA;jP=p5hf
z__?);1M@Q@wWF)pXY<Jq0bKeZB<uRl?ZhH};H{n2{u3)$a`*SF-A;ONy-LZy#Ap`Z
zH#Yp4<@7Q(G$^OOUZ@MLP9r|b+7o!J9M-LMZ3*lA=rg6utqVTUM!!-U2k~l`@G`;j
zMJ&_e(2v(%I>2;Tt2qn%fxjK>G4J7C#L5TaZTP#i;bS?iXG`x3Zh!N5DDnCN=4<@q
zrV^$N0bU{0@WYjORC#*J0pbESvM=gU@oO!}f0DNGg6AqW9%p1V`D-34`#JkMhNuM>
zl%}5&nyawy*4NX=YUZ&)U+=BJ`&1|?pq-X7YQ}2M*z2{l&treicM(qUQDMTTfzx!Y
z1N$A5e`uLy0kf`D>5@pKz+ma2W4lj%$I9^1mMoVAESfLu*j;`Ke5pwPt?Au|S;ti9
z>5nd8+zr0WFCS`xvPrVTz>@)t_0M2~;+;ioUPUK#m#iinJ~`Xe{bvX>s!>@Woms+m
z3Y<TDJYNH@8>$f2v_`R<z2QdY|N5E2C;qz?G@!pbxh4AYIOdxc;L)70g5{sPD`A|i
z4%;G8+8XFL7BnjTHf($qi&OBJ^ywypBiW-;S$G<|Q_OlH(rX<{zbv_|$w7wdm8l=c
zuKmIGH@EQlDQ#kBMPGGav`~W_?dBUrtaI2wJMH@ygto9acKsikF{)4$Hg2=-JdfQD
zK429sNe2=t8w^2hDzLZH_<mE%0w!4W_CK@3^l-#j{*(hz1uVy}cCj2^!fq}cTxrN)
zfCA@ZIm`YesG%?rUT!aAFRmZ6X%%4t;~ED&zjkFfcOb^9t6>$ZleNBhte6=xdlg-I
zbd<sAsPyj1vUTj@>ocr)Fe{YaR=yybt^}!B96xV#Z(@Uq5M1R&fFhx+r3HQ^pfp$a
zr^sz%V@tTig?l?7E!USQ6|V?CZt$Kj?4X1HoccUzbDY3$c;u!&zalJu6-sQRFaU!`
zz#ykN57=ZesIjIiK=+9~JdfWp0-X|Z_k%aQ@Zo^g@c?}V;LuX;@w8=z^0$1~cbM?Q
zkzWr+3x3LjR*;S(l4b=T=Zy@zc>(ZvBk)xyULK-ENLhzO2ykO&<;H_nAs8@O{m=T4
zJUp2=dRf?H2UOL#5hlNhfJe(}$2p=rY<Wf=+;^W7?$2H<z04~P?&^Ok5R*K7(Rqs$
z1$bcVyIt9y5DBmyxW`1@mILn>oeNz-yl~gCCxxGj2&QzVb3}f5P%ob@-k|4)^S?xO
zivp#AG5&s6gt<IOUyV`znIixNsq*A5dRaJg@08NgeR<exGIKB^NC?=~-ZNHZ%7L!x
zBjYwc1<-ruSZd%c0+Ktq*O$*Iz^~!eG1YPf;FoWu)4MGO4(wWmjOI!Zh{Xu@-&X{S
z{+oLrckKiZwub%OdL-C(4%qb1R|3JK3FGOzrJycI-~A@03YMFy?+BbEI6X)Zrp^+f
zfrPVHS(D*NeNz}yi3%vN$gS=_ECch#H%D`|HQ;V!+OEPvHNYDdbZ>o-g&X*uHYQ_D
zxXo)_-pQf?i*z%Kr63Q~M(+haJqny<FC#6wX+nqJc08>?0sd~cIP9080{7H6>ER^`
zNFON_5wKB$?8#t<xB)7tiWh&kd9MX8+M5R5dX?dXn5o~T04>;AfD2mY>OfGc{E2EC
z73lkz{zjxr3*O=N?XLBDpm*3lSiM9QIJY<}*M4h(QBacLX+}fXxi)(sVonYA{wymz
z^F|9!d#YBl9WsX1O4f%f>ts0Ww)SLGObcw@N%kCmh=I~xoh6=Hb%>Q=vlCXK0)^r~
zSThQs{3`NBjjRR~Ts7z17}NxhBTm9AzfD1G<La88p$4etM-$BVYXG%1o3Xpa3@#@H
z@ZM6;0FY<1o1Ibx;%cCIdJGLj>u+~dHK@bt`2`{CNhRnysrph)&>T{aSngYzAwyFe
z#!!jmpy6U8(;ZK9*x3Du<HScbsJ|^*us4MW`V~ISdy>uJ_Fty=j8>{Zc;oa+$y5{?
zKI&wAk2eQ2L{fP8oCM6e9NRJDykKp$Tq$+R99FD9o2fM`K}nSCsp@<d`2E_~%8}O`
zt|yaEsC-obx2`AKsV|qY1)~b=;7c0#oF?vZ`635wMn99QUNmDnvs}YZsnJ00E7z-i
zbutik-hzE;dJGSY@Hj)xGJ|yV<@~)GA|%}KG`tL}_%)XZU1jlq_l(*OyN)agIJ};0
z=+Hrj8gbK#xHwbb)3`0(F((RQb=^;RESb>9{_qFh^rlc7-Q)bwM+heBW$fh2SkPxI
z^2AsGKuPRld36nb;ColGC)Sn?ImPM7`u)b>n}*5BGBqA(G=C-Qe1L$`KAyKH&6vP1
zlk4pq-`Js5S?a++Edgol7vu8yYYZcwA7dPy%%D>l)@3#FFP~>VDJ5bII=h4C5-sWB
zqNAOpY7GHVccpH%7#o3(bd=qdbL*I!ptpEoC;?>(Bd*R1hQR2Ojeitaz@*^KK(aIe
z`K4yN`DPga@A=IAy@UyjRamYu17|}m>1GwP6Z)`YGNH9C^#^t(m3Q6Ml?{zjqC--&
z^r176Ab;s*2{!w-LFI!W8~QY4NB(kM5AMLtclnl$_<gR4`{6%XkzJ;h6LY^VWP6q7
zPB8T0L0W#7%5he7gGi@Sjp>3!FkP3y<5Aqm^yW5(SkdtQzm*v;bO4=Pps8J-#!nAD
zi5?nYMHxquylr@OV0^5Hq&7W=|Gi?KT&uu_+&-U)dl;z=ImM2(oj(?Fu_qDVV-wiW
zW!_kS<25aa_`=z@_+SNRqzt{gNhBaK8l9npzZM*Jw933hUB}x@e(wC;O+e9k3c=FL
zR6wN(D#wdA@%Xvm#=25=#8wm;ZxTX<wj}@S)k@oV?)&*r%MUvco%vG{KUOMKzfqY;
zXre=|Ro-PqOB|?;mt&~;J_TaK{70WKF`ymT8GavIE_ByEU(Q*L0`FYfiP<zp<S^71
zNgUxu5?mfU2kJH91ZC9XZY&dWb@UQxYU4qV3&N{v&T2xgW=${e5Hr$GQJ9@;;6<j=
zgmWz1nvkCS#-zxS743Qx&OqwrL(ygtoA%`z;EY~IOxLoZlY~*_LV^Hl2`t!@^V9$l
zIbyrGJv)+N2q_%07DRov<CPtX|K`FUZJFEb94NT{?xb{u5V|_wHZahp4jk6|+oHd5
zB6m{o;t!e#vXS_-X5^+0Yt#3pP3yVQtCyuVm!?FKij}ybHk&#$P@XpX&G4WuM?7v<
zsW@6}7ddksC&M(yQut>MKGdBg*zEa20{Kf{Jwk~kL+34diCo}E<&O`2Yb%vPQPKIq
z(cWZmpBYUIy(NH*bmG{2SBS_tX?ak=iwri`waXG_1kojr8<airGU%Meuru2&GPDzp
z53!vWMh4;X602^qsO;c_Qz3O^U~jjzXr>oMsfjwqiN$h=MbSD(SxFt}7iz~Y6pEpQ
zpW#@jpaNQmS=VGPP>16GZtdX<--&w6cYQb>sfe_yIY)?84amy8R&wx+Br=}*ZC$sj
zgq}9c_=sg{07>F(EWH*Hg*-Lt+vP_>d5?Z(B~vvauCD8>Fi4{?P4}-`Gb+gTmB`7|
zpPEo;)baPEtqfY{_>uhLlo~29v}^wTf&z5nvIQl6vdBB)v)IXxWJJ8}_qZ;O3S+a5
zfd&uc&_K=+lVK(ebokhnuhsXoAf#Pp)4Wn1Ma660xsjxS3Q|)}`BZAdm-oS(cE1$R
zvM&~*!mf$x&l)W&GwOokL}r=Nnj)%}>%A-Jtck*SQBR4h9(Zqw+C5@YMjNMlvU6iK
z(Y2+AiliU<!1&4#ZLBLJ{=OWIg@3tidQ4E2vmtoK)7;5jBy^=?USy}eCTg?j=^33g
z0`(VW^vtm;$fRy@zuck*%20LNNc1y-z~k=1FGN&PxT)q7hhrLOn<<wkYX*an(cHcb
zKUL&-?#M(kr#gD6z`kgo1z_Y_mqATc{pU?4ktbYgh)YtQe#+bw{xdAtDRD~`-J6#7
z8$cwKJ6$nr(qsy6r*!v*fhr0Z6K?;ktAzGyg+0sEF$2@2fnI}36{Ius#XB=b9#!tx
zMd-R_2I@@tw+=C>AnhrA@BGg)NN!Gnx>aNbKPDt3)5J(9Mry<Is2CA76qvQO)S1DI
zGq3bh7G-o8s`o9kh$EAa#h4*(2AA^cEP7fMkzM_@y7v?zWQ!7|C{N75*{IndB1{4O
z7o!*Ywv`vv7R?Boo;8C!K6Z<KF?n<`rQYN0_Z?`bKm*M{`kyOLR2Tfsl|}ul79*)d
zW^`_tw`!!>6ujkjoi;I&LHqroQ-6F5Ut1NCto1YnqG7xPsg;P()6F@Pge9Ez!;o#B
zU<&HGm8EySN}>>-V(})qDLnKUZbARg?<|8EBvsN*G;6IV)D+T>kL^4Eil76qmM5XZ
zlJ@Uku(<wrXtM=3oxQSt;2s9<#O_#8V`1byX7pN}_a%P7N%|r`GJ!KyFTP|l38EYF
zken!9jJYN#y70~zLx%JEOW##KWF{n5q)7dQaUKZXeVS+to{9S}vWxPfnR=ckJ>z=J
zaJr|V`j`<sy7CE|ZQ?@WX+AR2?R6MY-!}Vtk|Ct}+lcI_*nvJ)RrWub`iL2O?Q;9}
z)c|sGPEU4ju_4>N)0Hw6W!UgvmhYvK2B042L0*VwL7hsh`*bXxVQSk2M>#z7;qESO
z_gn5vsG{#f+1>Kz_@5xWC9g^kz%idLJca=s>g|_!poj2c`B46gLVED9{CG>+7#&JJ
zB-4I>tqJFo{&q*kR~Ke&NKzTwTR0ydro|%OiJM7Tdf)BT0msh@QhQQ1anb5;$jIdf
z-aM&%G}%B0QvJRu58qqIz1D9kWV`g^hh_#{=wE0<i?-y~&l9V7$;h*a_fLlK1KBK@
zdHmY&e8)nx(CrnxottJJFg%K@43$ZST-Sn%gG<~=!OJ*LO1QM5_HW!uzV+q4zf{no
z$g+&&EaBf5PBvBCoyL`tPB$<FP=Qp&ddXXK3Ge^T?qnG`i`U%c48FNcfj*5$br*aQ
z?=BQqd9ZsPFOAA%Xbqr1Za=x>`NKs#VqqqpQEU;P6gKU|w=`j8-=mNp&lhp`*IWz~
zx@G*Xs!Hsk8=Bx1TU>RtZxMHFUHPH#cLnF;oZa#j)P%EtdaiJoFX7IlQZN!+$3>`m
zE(-tVVfF15>6FeTT=~WxCgOojTyn@d!PP(m1dp7vAjdD`d!%WN9obuWtOtGD@#pH`
zs2%2c%XbC;=^ZwI>;WCpE0KK6(L)A?+_o6H$W>e?ww+Y8K#wj8R;8?nkRgedo8wl#
zhClPX@}A(%h@M65`e5Ls2G6;5oB5?T@JUiZ&x0){q$$AP&6J}GvZ6jOriwOk@r^vu
zo+1`>)YrN;X<G&4zuVnC6u5=Ix|Mk|`rn<fx@Y8^k%J0g^6jeedUPn_t$l0qJ$7`X
z`@@Lq2NFmG{yN-uh#tulGdb<9=RmTGXVc@<Nl;>78hGOx18O>!`&3Mg8<pu5{k6+d
zhUBUTqt)LS(SNOLkG+O@&}NCqV4|`zm=T45`4BTwNbx**<S-xlxH4rTTdD+Aox5)n
zezTxv$-sR-d->7n*0KzWl@dI9<aeeimknWO#^>5%1rdr;+>%^VgjM#rFHtG%XrF54
zX9ibcH1xG3CpKRZmWuXjy(!^92bBvx?s5@D57LA_c?T+j8TahNc_wa@Dj|nX#)+fC
zvfcs-TSfR}e>3sUCms|j{JdypR054L-t9cRR}rK-aHB`Ee5lT{)9<k!5oy;NeTIMa
zf=P0R;?nt1)@7HSZ1<(nsJsWB6RrrgAHF8pfFLsbeXqiZTNW|OMw}XMRs`-DsUKDJ
z!ic@1OG+<Y4!uAkJ9{xD`1Jho8QU=tWIMv}$Z)>`Dl*i`Rs5v{ckLfL?3ousO|<m2
z+gwVBa$)cL^?YSu9{U?gk(EGym>qg_MwF3x*>tL41qsZIb4{lLrI3iu_1Lr~6?Bk#
zX8%)GRbaP#pP#-?L=UxNl6IG?p?gt%lEW!#ka5i7vF%<NbcFx`M|0E>Q@)btT!=b!
z_c?m4WXht`dhAxDdJS|jJ5!VKhXz>9z2iU0BadWmTVLFKt%=lSwM^V)D8L)kTc{VI
zfYLJ?7GuIFXrMsgW8H&)-r_cW+q$5LG(rlZ{-{$C8kv}KH`0a&Uq<T~PAQ{&T}t-R
zQYz{-Gfbed>%y1NMM2Yl`;0&J3&S;n7Fv;f=z4rp4_+OdtjK3oMbe-l+#s%nUQb8c
zxDgEDY5W1R2vs!{YR)UMV}y!))#!Is${EAE#sfdRWXY(bBwdExnTlL;^y*%iVBn%w
zKnflpBNvGX;e==k5>(T*OvnJZT-34f-a#F`dm_|){FEj#o~}#GxMK==+ry^Daq8%+
zho9BRxH{^tO}P?u+6+`#AI0@uP)Coks|?+bR8gGQr^MqzG;sO-da-+xj0Q*aQX~E<
zAwH=c`j1m-a4IP$iQR~d!hQBgd1=X`Zk~OnHp?_{^ayw|tf7X~Yj-bxJ|m6nR7@IA
z%bEl5?~VICq=KlyBX#>Pi=)dQ4Kq$Cn1cgz|Imsv3AIPfQVSjlpg<#Y+0TsTP}QU%
zb*w-Mk&fr_Qrb9>NbHr-$`3RU-Y`q=7*;^$FTd;L&e0>jq_0-hr)f~@!I&|`B9G=5
z6W(2OoWsY~RlYc_nStA%4xcR<S=2i>AsmAt{J)Uej;JeU;9+7QqePQNHPv&DuOAI#
zmW*b9_imZO<AX9cTz^TTjc{9{_RIp7y27wn8E6XeM~M9goW#*>iM;r0nj6?JS8Mx~
z#eeSe^7JU@5J64-I>!zf(7{52<V__XfMRz0ONMg-Xi4vdDuKWN!;?w%w?;6~J8aeS
zlA8|=Dr|ZWks0BquT71^9}^h&%DbiC!G#=z<svNG7-3@DD(M-633R5g)uX=zq-k-u
z<|PjkxNI-zJ(Dtq@JyY$+(*plw0@@kIW{J+mL(j~-E9PY_oIXIv*^+H#rFypt&E^+
zx%zU`-w^UY-2N=2vx%R`{+nEPnGvkx*j{+%8Gu~N%&=(h65hBkNaGU^BNT~Bq;1UT
z1KC>X>4wHE{_#z1-^vRH;1(k)@#*S=NU$ui!D1ATlR=W#fB`11lbDtNd2qMj$9(gI
zAGl0%q@?>8JvidUaUXkh!Aa|~`58hD&KVN@Zs{pKxP;k-`ReL|Qf)hZLtGxFSv5fr
z^Q4Dm(MIF%4|Kpr)Lzvv?+f-U;gKUcN)Nirt6I;twZS3PJ^Rp}Ud;Wq$_sW|dML`;
zkso_r8!D93ZR^hsVM&Q>lQ(_oA=@bBo<pw|%&}ZN-iwW6vz$(v7xU;rP{~Jr*h&lN
zP2RkAshGmpjUuHASQ(%_RIvAN6BUvUWEnIE&SG|N&s7t{8Q`zv_nWbnRG8NO)yfqz
zk2y+JMkI<bg4q?O+@R0@_Uu@XS^R}XOg{X>?%{v$Wma=+>HSd(?A&^)4Ytdecmpj@
z^feO%hqNit`ZeM7H-i_^#;X`iuWmTyFavF0wv3RsCLFzK-)Tcy$KDM2x{0)~K&D!z
ztO1iIyzMUfWGK6d9jUC8nGj-wlKReLRjC^AbJwx4aPk%w>`#01KAHgE?~J6B>1%+$
z&S<~5G984y3_DmMvjg162iDR`)Pc)8D_hBu9=ryUIK6*!fG2aK@CinBuqY{uIu^<R
zk=k6+83SCP{64RR+l~xvn{tT{YZzg+L#M1HiU(rruIxKnt_A{)VX<TK%pen8$eLQr
z3%)H>g>FSPSQ?z=*ptoz;`*V3wha7$x0GjirKy63L7sc30UP{~*-_MUK>$M5dTOK<
zRKe}>Q<aJ(0!&=C$92{P;Z7;zKKU{g__1*-ad+1auv-w0kIWW^t*)eqX-5^<7%KSM
z*2@X1&FX1CLPcSvRF8wguL5C`-e`=K2i^!s8}AJihmz4x=T>`2@b<`qYkhjWP`mTq
zt~ZY*VD-`x?~^hT_=z;m@3_hbOh50rKA(~Tf0BL8U;zmn7v)Ce$NAxTRo7-FRT^Rh
zSAFI`kzfuP{AxZY2!b5ymj$C`;3e@$^@SA@Y$e~P1QUeecvFi0xmj5_G37DfbwCBO
z-)(n!){DTd;bx9@PkDH05Ret$qyo;d*hXxY7#LaWa~07k!u_BG&+nI1;aXo!fJxR)
zC}rBa?Db3u5+9bCR2@}=gKeiR&FdsVPk?$=&YA=|S@ryj?qnEI&zUg2N`zTl_U?Ih
zRp`xnd&CS^hb4~->Hif-14qQ!Y~gA(sAaUdo06jeuev*0Ev953{^+rYHE(sG6^D3y
zf20W%+Q=7cO*vS%9X#6`r2(JjLxy$VQb1EH;y6>NJm}jN+&W{X3Dx#;QE7jukic5A
zUE8Pt+51YA>_;`>RFHphwzW3&SvJ#t3n;<NBQYoSa}>~e9~4aL)q(bgqT8uQmBBHy
zY3=U^3XC}SRd-&~1BFKr$QVh2tAnP^BI6YJJ%4_3bhiO~RD_<3Nh)xjb6K&ug95#e
z&6C+hjlf@O*B=zA3ZkE;g|RCX5D9m1z5K@*D*H@*nrUjV8Z+T;JEjQ<>ymrUS72cB
z;gtW5RyAPg{vzVfp$QDqblYL?0QO&CzN#ldh64@k*ZW7*fv)?rh4d9uNV8q>SyCdy
zqw1tx3cJ<7Li9wurHUEc&MKR*{-XvaJ40totw>-l&%tuB)C?r`_f)8QtAR+)U~!qO
zBKVzo)A&`22Ddm5e$~lS1+zD48=<|jK<oFI?Q)?3*R2b$zU8UFN%4o<Y$-$t48P7k
z9!>*V+#p+dAPE-VxN@Zb5rZPV1;_ItG}v^Lv?hxvgYzEof+P_^P#R-$(>_6iw5`5h
z0ZEF`W#j1zPr2bTUtcKuP8xLD88IoW$;0^03oBQwSYV-CahSjHpEpw@EzTX5gKsRx
z>2LElF>EisedeD}-Anu*W;~ODW|7x*)an`RgI=X-!G<Yt|BU1zY!JbR7BUrvwPU$G
zcP=kSn?fu9!QSOENjN#o`KGj|6+h9%YI~K(6jaKUvj)?|;nlrC=W@abE>u!;Z|pt*
zhr;jIJMu-KUOFnuJ9`G-9Avw}N(69z$a_+8Mi8zRuAO@Rb{^+;e<<&M6oUY(Z!M)x
z{1Bv-l)f~uh_jz)uDkDP0^hcxZn-e>!W0XKd#cnjUKJzz`eD2=I8DTECA{MVekqnP
z+4N=n%iB*8Q>8}mW0jZj?H2;{Emu|fCN1M;iqu{CV}?+W`s<qhJ{Gte>*yy&T*kky
znF!WP{&OhTC45?j5uDN+AO3V*!Zn}d3(PwhfZnjLd#M#2NPl0D3<zArAC$+Yd`s7d
znK829O8N$7QgT<#&3^&^yF%KOnAU^g!ggvcbp?A?m)(|eW*#q)<j{6A(SxsF)-B}s
zEnxox0096043~E}m0ujdaqW5SnLV#@@3r^)H4=r4%5IUeDkS+SGD0ddQYw2EkyWDi
zl_EmJOh)z&*|VR2&vTyhJZC)T^ZCS9?a2o^FQaAnushZ%8c<Z(>}plDh}_=a|HtOC
zg#L;Dv5>T^4n+KxT37K5BHbxOsq^~}+8$Y>IcTE}+X=?qKBvc#5CW}zzUl({r@L5S
z;f)%+?=SUE@f${BuC$*lsh>mb%%q#5B-FsMz&|?KycfAnQoW-cI*UdhmevSJQiVn#
zu0(ptZ%AAIJ5T@M88rXR^trn<st~^USxWpxBf|O9eoM1r8ZD&?Jp1^j3dH=|NU@|Y
zM@&|7ZY4-hql#xJUxjWcL)v_PT3ve-8cw%-XR~VxeK=<jDsWvHZV2!C>%FW*9UZhO
zO6sRjJ3lt*W1D2KA9W2$y7U2kSvKf9I6Q@Vb*tvA-6DgHW8jYq9W5xn^?Glw_B8rK
z>5l;g9U1<+li2v_)HifI=I$jz$25A`F88=?G70RJXWoiD>_iXqg(<#&JcFKavYhM_
zCjpPu`0vKj9`utT6@LENEZVQdo3Q0cgvj}gdwrEZ(LEX6jt9TyP>Sv!$@ZyAknKNk
z@qEPqS|t99lKI2}n(Yyp_Oe+K*2`3VZdMPYMqL)#o(zj<SDbxl&%Ofu5Sp-SavMRz
zV+a4qhAyEux>vkvbrgW5u9*Mb&L|rCX1InmeHleOD)*5Pd02~Rpmxg}N25pSalZY3
zQCyC1p-mG33Jf~w*4!u2M%0P=J+g|nWC;n3auVPHn`dv%;c1ka((Gn?`x-hSGSE5d
zE(aVs?2&aQvuK{VYtdBn2I|@p-)D)+!nGFkX4RE>ROgBPpElnul)_Z>zVsnk(B~(s
z7&ZMtmGi5u-pB8t>Bmby`rej->6*G$wZbJde2ua{YH|;)%*y67n30AM?fp;YjDOK<
zQg`P+=uu!Sk4FPu*-1mfF(;e8`zt7ye#w?|F(sy|if14HA_e0g8KM$Y)=)mL0$+Ds
z9QL2f_xD^TQgA1|edQL_25Q9U&=tQyjV0-qw#76_g4|alChGl76z+IloExUatm9Pt
zpIS(Qt+H~?9AO8&$$Cz7Ws4reic9`|{3QWaUi_&(aeHW?*1wepN13o^$2R&>d?ldT
zJvUpJmjZ*kVU%3GEZB>&lQB(f5|EWL?P3-~iGA+K@F}#xV^m*fSG8)yA!@-6Cm@W&
z?hWqyHw?04ANOr&=sd(B?$oDb{Q+uhowTnfpTLPV*?t%bmllVuA0uP0n`kjK`T8Xv
zA8yQNzJ1GlSqzAN9B9J`J(j7>pr#STi-}NegUc5&h<oD{g;Qq2>hj+A9<SlY(iij3
za@B~z8jY={LmdmYyAt0XA}@rU>M=ZJc`)uFW~H-ih{rs4R?|Fw3S-y5)(QuH6@zT@
zj@^0-J62m;(M}!}#dy8k`Lb~0@JRJu%zOYRW_q%ME;UdbTdp!te`+rdMdwDvgUz_H
z+3VwVt%{NuJspEDbC)=HxACh<9pS|Uyb>$vX{53EQ<Y;kZ%TkXGtOVqmmhoGXqx+A
zR|e}(@XPdakOZnme7Q!8ASR&MF|E%*z<83lf=&Go?w6C~b>2!Cqqw~7t7)i!b-l=H
zI^8J^`*LN`77?OY$9WTavnVAjIixr+BSIDg1+JN>tchWf4I`mto+PYn?`gJv904Zc
zks{Jf3C!&3HRI4kGG@5>ESGyv0UivCUUcS`!iHKcYEHgV#%f8FRqy(UP=#8BS=LEo
zfA1RvcE44@<XRviFPRJ$vlpobJY_M#x)7?cTve<mW3AXDKn13^;sby45ioj+Q~k8(
z)G&Ji-p!_XHLy2fT9l}h$8=wRTUi)Z!?ga2eV`oFfE*LWlUGa?v4-gGm}+))EVnh@
z{GE+9aNYTHdgPT7_M6?b`^vN$#=-ljJ$ytLrr3`*B#sfWg6FS2a~;&M#|e4VxBvw9
zl>)mB5B7P@{`HF8Syjxuc9$Hs4e-c2>y3Xc38M<XU|zbfjIGOAN##lyf@4SWgI5D2
zjQa3tQj<OzD~xHc7m+gpN%HM=`F0Y<qiq@d!%YcOpLAqg|7QgCM>vOqV@X(me1r1j
zs2nCf5V~fOX$+VlF1D4Mge^Qs7PeKA!nB_MjCZ6x4EM%UWfCWpu(r3`LWe>`vEk;0
zhNsGhAxPvwY`Uc)R;_cy?gAYjR%k5B87Oxcx}|T=MFz-YtT$db1wLlO4t4F(Y5g^Z
zNt-)CKRx9zNA*qTARHxD<I^iLkzx#DFRbo`ATk&;(JAc+=O}s%w};<4WDIY~oi`$I
zQdn`~6^;&<DWobTW9xFV5hU)MoiX?%j=8gB{r0ojMJ_5^QgH4YLc&L4cz1#*W?*#G
zg)@^Hx-EQJh;D{37~){vG%SP-_++Pz-(Ub|?XR@AS`9$E@DZziCm(iH(k(A+jTwH@
zJGYps8i139(#ahfZcMT(P`m6D8!&f2sd<qDkXZEc-_9*|tR${EOVJw-8pXvC-}nLQ
zl0Usz4`#;BtEYTu>czwOWJK9TB?SB$j#sPQr^SRgbL{%5*+FkOKD$OkA9PY#$9H8Z
zu^F~Mt}e9fkjgM5Lw{Tkwx35{Kk;Z26-duy?U=)Z5~u8~TmHImJ^M-2nbJk{+XJoX
zrww>0cl^(SH&+Mfg!&b0)`wAwjq%KkL_9cqs%Cs0)&^4jYrWjEQj~vB_Tz0=JUn@I
zj<Qrr8zQSu=LR@;BUV2jO-bqDVe<8g#gA)R@OS$Q*U-)c@@M_}O$G@(kbel22eoO!
z=eYe*R<0$)IjgHInhy`VtCy)L6f|K#OrBU-vWk>wHBgC&;^BtRr-h*;4Ipkj&E6i|
zL~_ONz0K3XLr*DT{RM>vyt%zD)KtBT*tmWz3^+J9=UoB~Pk=hSFW{kfmZX4@6P!=u
zEAU`U8r>LOR0Go&3wvqbDIwnPQgIDCJDjj8_F1^925+yP$|8B<AnDV`=zG!ZVEN5>
zPkd7qT<T*>3RkIN<EmGEGB*cIjLM9J-%*9n*wQvdAT3a+e~Y%N;{e4wOd^N)RUt=R
zC=FewgMbk2CBvJXki&dUhND6S3P+ww>>a!h#aaF2zbCn1lX7k%$yNpWyAqnNQZa$P
zc+&YLGj3o|@z)&LRtEaBOGkqrF~c=Fm4qI99$2^(+-Oy#4Axf``$@X2@cG_W`QZp&
zh;Fy#F+HOU&ik(^&#kgSf!#9ea0?#@elh1TJfsY@G#kbpBX}5!N}khE6oBn7k0ZX0
zk%0=|?fJBa9Vobb;zvpZVbbz=Pg(^TNYqB+vi%&eZY@<nHa`Sm>s_s99+2VVF_9<3
z3!GqNAenrMUIe@w+;EhBWPpzK2dtdjaOZ;NLvCMDurE>82slp$7D9S@-%%dup0BEk
z^A-b<IQ8c5XUJfE<R~vWl^2{^UM|sG7l-8AV$P;sWN6BH#r18C56&sv$ceiz0ijwf
zhoqv&@CmPZPSR5VRJv6?T1q7$e0^!9wVVuRRnv40R|Mfn=Gf2Heku6o!m3@eNQPLN
z!gn1Bhag&cxrl;Q21aJ|*-Q+S;j*pq+LVC^7?0`&@*I|h2TW0k^o7b`w|q?HPPiz1
z*a$Kk2$qAh=TnK6QYyfJFHqg~5`$x|)Wzfy0@T}!2I$wSfUE3I(nlw8NY6G`+WH|6
zS9Gl?%P*?J<0t>(`j1P%g}@ZxpHzUsGP+3yB{c|R7kT{R@PRK>$QH*BDZ=|6nLF$(
z>hJ>`=J~XxKp^P!!)FyrFrpVE(TdZ6%bOp4ugOV+`Aj=CyE75O&pvN9!E1s^u9!s(
zn+yc@jg6Fc5P{%V;S)pDg6niUjzv>4uykA};xr`*Oc)9}FS=+$?YHwDJuhY9hVJRF
z`AbAFEqhy^^iT&DI6kkAJIDc!N71}2i3l~ruG~2tx^R&*qO^8K4#N3=^yW<{fzE%g
zOixhj!!Vg&I??XH`-UQ?ug)lf9IHuLuOb3Vad89s83Y)7*sB_pr2sVB8k1RK0O{`a
zTA}p>pbMS4SjQy~vQ=jsW1j=){r%EJE+fFt#_Qbi7IJX;ykoT;qXDQNcNe~Uod5xS
zeF3x%GGIES^U~|Q0qE|Xx*)+$fFzFzUj73=OX4h^qRKM>l}WKG`fxe;Y9^nVC@BHy
zly<wvz8e5b!k%_~n=Dj#SzlYniGlF^j}`YR10e3V>d3CiKx~$A0q4XacqzgB!*bdH
z@B#n!1Sw_Uv^b3HZ}LOZ(}<SxZUZRj^EA<2mjW)Qo@;+k@qjTU_s;ur1CVWCcTee;
z1Q)yZrVM6IXge$+zZ_x!p$uLNl9dvG(fwipaXeVm1^gXA4B-CBINS6XafmUAQdCiA
zf=ZEIUb+o{RGZ8<@-AX<CVN;gWu6wM@A=&Sln+1<vFY?w7ll&}eG(pLaM1nve5kxN
zK>K1#;|-E9=$^2h>k6ZQPHE@0{Y3=ESLEWJFbM&*jhDGx%r0{84-e5_3xVSKkQYRp
z0L)eQul$nRLexD(SlPn#!RgJY&aeO<cy8Mbm3&%9dW~CS3P0;Xnr_Jj$&);=l-&G1
zTWbx`UhUG$Vb_Do=}^Cb3NH9_M@ECjeHGCW_!&g)q6-QxPj|f4IpLhg5xj)bDiX_I
zZ4>oE2XeEnNB<pU2bVwT>t#1qk*v;_SmB;F1O>LWoGrqG1RpvvLtI1J5`|STTWv@_
zD)q&R$Ohv6&FP^A>j=L3Pc&tz7L44TBM(}#fbc|St=IDnWVkUW?jExibPMJg9xr7A
z?zK&wQtd57!_w02@)b=`tTpd*ILZjuKjb7*vFsr0<+Zr-9t|)mC@6a_!T|l<IYLRS
zdq`m(i~C7K4X{7l)b@oy57RkoVTIcNkcpI_7^m0j5FBn3{rVCe<edpUtKLijb$srb
zjne9Hh7%Bn9$J{Y{L9ITnhI)r=4#_J)Ih~==rX-8Ef}_2E>@htfx6wJ&5uHAa7o5+
z(^j1p&IKt|FutXRm1l$Zyq~MWz>Pg8F-ck&U1@uBTbUNRjb<M`lvD)~%A6Z7G-(em
zI?ns`2Rhi4y+LdJN(H_VNsf_z2lJkYJ3jMb03HTz_d0zQFlRHloAQkos_x!&NhUHu
zm4nI9<_~4Cc$1_eVnYW5<HzcW>?|;`sBKL4Rt7aCb>Hd(9`#TKXIOBufm<wU|AbK)
zM(4D94BykkImzG8LZ9N{Y5qs`Yo%n^;nDEgDP(~E2AdN;d|-#7i#eN2_GIWb4B>LE
zVFa64c~9|u4oFx4P(ZK0SA1N5(7Ab(5l+UlOyGZ_ef6{z7brN%a;?{sU`aeH=%pbG
zFdG&+>A&NKeCzUNwO|rlZ`$>lXkZ1(Z^`c?ffpM2_qjNM1X&laU#d~X1Kn1h+sp_b
zbQtq#>#>l4Uym*HzeDV>{ieH%K1%>>WO_>Xn}{GD9K|3Z!~tau!qm2*LO}mmk1INw
z2%}ZK_-ryK6b{jrt=<xbC#|p`f0_u2BCPW>r@7!{wg0t2OHp8RkLEjWL4<;DL1)Ht
zxj~LSb}aCU7?kH&T*$N|0=t4O<5_B6;Hgk3dXy;+T*fQoBDaZf#Bx8KA%qXeyHnGT
zM<k&9q8#I)Rw6vSi!-(05P<9p{&D7HDah}&zMCdQ0-R#gwqb)H{JI_W<jVtTz;F0_
zKE6Z(<*}nn@v(=1tQ+;gaa9J2K00>czmQ;W$l#u_j|iZt)<e4I<e;6#?;@268QApq
zdiyIxVWwr}?Y*xAh%{<9KmCggkt-x9dM5@t#S7+KS_*KXhU_+SUl~%fig|R~#6iPx
zpI$Fj5n=-(q~@Je4&DdNNr^EDcrJases53-lqu7>tjtt_@#`c}Z%+~)U)^Tiq9Vb_
z-p@s@lWJg5rlwKIBMnw(UVEB`kznd&dxmC+I{b`IRd`R30d4J6mCs`&fWcF?S3YQf
zn*Zt*K~-7c4t^qe5DCCfr9M1&NDIdL?hjTg$iY5+!MQKGWDr~38P&e04H7Mm2n#C#
z8uddTo|Gknsd8?jE>0JQs~x|c`%VDaXk81*gY|PWzaBTer3ct2^-7Mb@?g{9-0AE^
z0=jq1pTidQL0Rt4`0kiIXs<qy9uFr%?wus*G8ur$Uw3az$tb{>y3~=@Z;D`5*houi
z0a)>k=A6?|fKxg5m>ztQhfN2nV;AfUK=Iv;j?e50uq<}hVCaA|mtCa=^g9fob+Rr(
zvPvFY-p!F_7-Zm<!R-ql35FmuyP5e|LLP!<<ypG|B!L1B$=iAvf^o!8EdMM4&bsdo
z;0MHD{P+6n{CGp~`+UpI&sPo#WL*-1vV`Gh$Gx7WG(-54+4uIUvn;&y;)r|D$`5DE
z@n+v+3_+YyRDE4m22{MCMA0AThOGRVpQYyw;ZBy5`o|$DxWww;6KTi}bg60On4BTV
zj+OSN-#PG&#rNgJb4*}%U*c}!hyk$T7d?I-@G?M7-Aqo02GqlbUnM^<0Cer4!tus~
zj$h+zy~{=cj=DR~mPiKRY3y*S!(9}9)SDc0&e=d-NIu;4>;O>CP5zK8D-7i}Myx7>
zOUP%vaTV)J01>_A>?Ik3aBN>hOI&{nd2^Atc9Q~N>B(s2XH9;%Kbsbj@_PvJrqjPt
zLqdRLt+jt_lLrh-#w%QhIuSv(?5@po`ViO9aby2C7j#t?Nl*p0Aldn!OY~FqpfAfU
z-*%M)uE#NHe1F`4JiO)2d;h>&<W&N!^OV^k`$tLlsp)zog3){;f=L(3y!%so)!E<z
zsZJ8Ti6Ld(&S;p04qUn(8!+a`3~CcE{{6E4gmhSJRFyu|2H0^wM%}>xiB80yku_~d
zEP3$?`-m2l?%lH!y-x>4DPMS189Nc?AsL@1%35HCxOSH%(11Ln8k<yLA2KD>vafJg
z6Wk2_K5zEmpg1G2NYsA_d1lk}G;dr3j)z4KlN_mFE+Kf_z-JUGJaJfc$XEle2Ht#A
z#7zkuP87FCS|$)PD$%vFB6YB#%^IAbrhtk3#f^EB83d*SnYTIAf#VMI6Ne-FNOQ{T
zN7shuk#OGb?6lizph!@UAr0&zFW*e>W2Q^Ut;Vo3SN^Jk^(<$PR>Ka`&5PsvqVyLj
zDu~T;yQB(R=@S*gOWTNb)!#Z{iB+U8lq>Q4s0tv&#SC-TZ6xZ#<MdxL>j-zek(k|C
z70|yulE22ijTl$e)b%2p2rcO-r|PIOl*M%xvQTd$ndpdm<mGLIY3K*d;zea37)L!n
zOxQ+lJY;;=SF?-ow7aE+EtBC7i(@fO)Hd?jFpu)E=s!f5s8Bc)LWa@T{HgBTJILAH
zg-5nM6rgwXY_S}k47x+S+VZ_SNYuk%B?&SW{KRv~n&ln*L)w0X+SXm9FyB<;QVtI6
zO<c~L)F**QZ2uhZ(jKC=bjd`KL<5O_Q9>W9i7+xp{yB2wA98XlthT(L7JPFq{^Z(H
zf=Z=tler!gu*Byb=#@_okN*bOj2kJzD+3!dhNG15SaZCC{t+WgfBu~v|40#LrzS#7
zOsF7ZP*cvYj2Yg)`^I^9RRJ!qrna^oc-zeRJAYc&S%H2wnDwla0@%sN>6xWbgKg2=
zJ<S?C+<i0J-Pk4%lUzADZ<c9bJ?O@%Jr)k2-6UVSYbFm8X9Nf~m+2sqrcRtMoD;a&
zcz%`tAixc}-mCF=1`u&8s-)!Mh7+r9FMT}-@V6`Fxy&y{m<^jRL)v&C{Dmfu78?Oh
zdPS}<erJYeb9V=af`c9$2=}W0BnK3?63NbMtdLF16VY6B(1U$=UtIh_4^W9jROB7-
zw@TP&s9Ojc*B0-2`pAK)?3%jS96P-BQ6GGzC<0NYM+4rt%0YD3xk+gYPH-;a{O<cx
z6!=l6X~_UN(3DO|-)Z9l#eHA0p^7+c3fOtM<;lUUpmDsjHxG;^9ELNw5`ZRkj+AZ6
z!Kc)&7o`e(;J@?T?}&mFc*j#ycK8zxc-NiDz$O5`>|bfhTBIQjb)=vZl80)o1b0p@
zA!t7T2|4<oEadHf-xu4Ehhn-Dq)r`SNZ9ki-PR_6s$F@yF_R)hMp`A-8;Zj0irPmx
z8U^rJrm_BbS_#&Uv$;PE6ob{8`y|6oMeq(C@f+A6!r-FY`;J<1XkNIC%Sb1Js@0L7
zVt+``>X@3n$sh?;&x(jHMI;avIVNaHuM9X+-eC4QDflXK)X*}33<CAdT0_TFz=ryj
z8PrR|9&`QtO*v)Io>{h^eWMEfh2xdXyt3eXBfYb|P8pJ(o6w^c>cCzo_MG~X9AI6~
zjy^o-&-lV)-4|#z;fcTlhV=phv<(ju6&+QeOtxUwU_cAX?Kgs7x61?d_afu3)+%6a
zqHy!)CmpC+4B@);RRJ;*1;0knsDL18_0Uwc9;iBa>r3P)LP^%qIC)=XIN|E0*qVvJ
zNYRIMe?$o~UkI7GKO{p|^H@mP+k;LS;0~33sss<skr8=+61028ofeBXfbocg0Lp`2
zRbHdL+9j_91p}q)0%nGALZ>I<{B0#r<Y4+O$RQ8tTYb5cBZh$2dBpz`rv!`+=BukU
zGNAbii4U?h0)f?6P9BIN+|}-6BqEX!f1PbB{FxEV?@lX99C*yFNj8y-Eu!$$31``X
z8o~8bN6yV}65!2{k|Nuz0Ne@aJv&%u1d&e%(3%)I$X?c=*{b3Kr{8fjgK0*fo!=pz
zv?2p<4MG!R)L20gt<+<5FoNNSqI18Dr2)flpXhU@2DVCG11_8qq$$RJNsE?*09P)3
z+|&m0-@va2$xjV|xOH`J{F69*A-{3$>Ka3$#pX}v9&q3LE1zvDy%^kBD4=d~tVYWn
z=Bf%0I?>=l>{)!NFvv9znFS?|ql66_6D2hR=w1BqneVb7;6zsITp5>9vCBB#r5b?k
zjIxR)2R@*U+}n@YUPF1Fw_KXl0mxS{QN0()4Y8&3-gy_d(505un@f=hTtqa)f?GLY
z{iQ4C-jf|vec{^BRGL0?%wH8faRLv<vech^dv?)fXU>e5m3rWK^l}O>ff+nhq_4)>
z?xF9Ke$D6f>4J$+yjKwqJ?y&o-nKT{L+8(&Q0k=C1vWRQ!eI|;P*l|7uJ71I7p|PB
zr_#~^wN`1ti9?jo`ghRHop%?l&3}~HdrceOipz-8*zY19Lv<bQnmg#I)34fz8ZBru
zpYGY=-#{Aus225)Y@^h@fmC&rS`gDHmE7w07uitRO|L$&h0>mu)SS201ci+uHi?3H
z<lT?}-%FoObX6kXnXOO*+`EnRQ=BFckA&(^?dcn6Y=q}zGfo3y68;kv=omy6DkS@L
zC)d%sM4_7>+|&V+skS(E`UmpC(m0skW*znac=%IQs~XJl^!=ss!H{E{gUwr`YiNmM
zMa?-iHCP&+rxKZrMV<RhyDie!P${b01#!8m5X8?CIz7{Xo<ZOIetmNdl_X0YVdhf>
zLz=1+fo9)OFg(Aa5wnK&D!5gY#j8NX2vZH)W)JEsn;?|>ehsakc>TnVNd>M65U;O@
z4x&%tmDXv|b#!RvNAyUnGPwP@QStuj2>Q175r=T;I?DW9-A08~87el*nso@{=!*2X
zbI7F)RJ41$LM??1K{u_>tF}y{3bYNhPF9<!JFW-UEkcH&wO`Mc?PpLz&(Kzn`xYvr
zzJ{kPC4p|RjONVP99m*p>F8aujppWU3YQ=xp!EpK8T0>x<{x(u*_PTx(>WR`GmD7u
zmc79Te|HIe&-t$6>yJHDa>Fq1bH5T?b>N$<A6rI?zqskwRR2Sd%~0ij=TL&rx3>jM
zELYI|u;81avlN)akau~5wIZBnU5y@VTSdQ{d2V8SRM>E-%UaPR1&9r=t?h7KM|Zy=
zD)yIf*!MU6j|;}-K|tjhzXk6mI;dE<{N)!l_K5XZ)r6)zoZKSd(77$tg$)<77C?)|
zd&OmBJS2dM0h>k1#15LVlx0e-O^@X%`ZY=%aO8Oei&ziCKAJ)f;t!K&#4uMU%H9J`
zJ^Z(s@>Gce>sDBdwX$T!+J~>b)9jN4s*}gU68$K#h&C>_%6wMLR8_iQ>ZB~-NrRu#
zJE<`GK_nyZDIN<EZ3{0LlmVPnSVH{?YHW|*wl|7~10$CazhAs61H^5aZG|lw>`oHJ
za!vv#X6bjn{urAK=mcooJN1zc^S&4%+YH<oRkf#S#XD)ZQcMsTddq+bbvg`m^YLQ0
z^(Y1p2TB9~{BXjvK_;w%{v>UqAU}4r&B$@zNE#Tu8{IQiSTWkfueHJEf|%g9SBaXE
z(!l2WypH889vgJw9{5sn2qPU9<-i1_!Dopt`&A=5w&L``O-M`>8)zIK8zxA@li{i7
zBPN`fqtMHWsXJmAe{6S*pS?7MK6l~%ILC!447uqo(@0>Idqm;o0%@4JkQZuK$%Bd7
zNisQQNn-y4009606qk2A)&CdA?LDu(xyCgvci0)9bFG9>p~z}TlR_y(rIZm3q=b-J
z*;1nWMyRhcB9y&KC7Id${Qf<U^LUTP>v3Ms^Gf4^ZxONt7+wjk@y-%Q<Y?(LG5b|e
z$LTop#X17iD8J6NsFFm~-v_n6tEi&#=Y>alQ&b`Nk<7ub^U|oBqoMjHk2-qnWi;ei
zs0MD6S}!#Y$f2VBcjkwfiKwl7-HmBe9WMU6!SQ%j9-TWn@MbTY7AhN`m2F8Sf+(Z4
zyzMSLDif?9_hluc+YPUV-D9<2V(g9;Z>b{EsvHulW}+b1`V%glC&=Kx*}77ttc<o=
zdsMUMDacOZ@fDU@3he)KzU^z43aZZga{|{!MgO{L%?m&qo-TKCCE!)je%!%~$QW(J
zu-4pbwV(r5%?vF*X==#s&w<_pk~+v+?)Q$qE<I2Ra7FH18c1?W$UH1S2VE_5K1Ay`
zfVz+hUk)!KI_;g6;&@XB8Tj$Jy=5?h^iP_}KNB>O#oWo&AND%PDq7NNP{#xW1XNSj
z?r5Q!2|N7JdToRwDq6nx#h{g8qb}Hmghm^RD{P0TD0hj6fNKD7!DrT>FC;|G9F<SV
zr=aPe>zyBJX&@_cv`mwkj1rP_y%$x;h$OZA-u96heA2#swPTcoB$p;=Ass}d(Y%|>
z-q9R5ALcIaKS4rfa+_ft3~Fdm-R17+S92JQ<!6(4tc9-Dh_fPAWt7&WR?n|v0k`gt
z*5j^fBJc8>CE;8O=(+vR!8K0{u&KQ`5U)T)gpj`@TPGz^%CFD3JP!*9kq9odjaEmu
zBN&9e?S#<Pf~3bbx)#8QKPD8~sESSr%l~ry$ca|0*B{@QGKXj4R>^P2RL~y5D6T!W
z8+1ji!0396IpEpdU1_sQsAl$#Y{I}ey)<R#1xrzL$Z9aFWL?E0$xFxjgiX3I>lXv5
z!pUY}&C*%r$Dx2`u9)oTJ~4|0&ncxF@teW!0rw&{8(B1S;mf0}#Z^p%Tp#`81`T@m
z#4^2mE{Ql&3yb8q7@@<#*qFKja5Cg2uEb0Xv382jN+vPG?aeZRc`$&ae|3&LP8i)9
zUN_;lV+Bp8FSU!mFz6^bmiJgz5NXEUt0o;}1COcx379nnHWPP?iqAagpmeN##7{OD
zAFNamWio}Bv4mac#@NxVwkGRfadwc$-zCS$n1GG-S+2vUn9-?ONf&h%c2G7*FLf|C
zhHpwYlltCo(hI`ct4bQ!V9js&`EY;{7zha|Xv8nkCpezTzdpeRkvVa)kDu)TeHq@}
z3nH`h*X6iDWmY!GsNFaGb;=M({XuOKY2WF$g*t8XGFjoG@B_0YT|+n(6TZQn(o3hk
z?bfulW`%vj`YxVP27uT<;DQTY(JME4r`NYwAdx#ZE_y&8Y*=;3j(P7ehK;>f7C*6o
zKC|Nti;+HTGSu&Vqxcnj9G*><ddUL3(-Gg#r0ansYp?zcZ49$3xt_E44GT1D>B<MN
z>p>sscs=j_pP1{#vY7fI7Kk01BDbE`g_O_QZ#1T+vGaeIGPsplA&1XU*zTte?7#i-
zjtuV{)^vHM@j@Ic+*+e`)E&|RKM7pFT-XA3NTKMKq!=3<yHevKFr*C+#pY*Tefo!`
zS?ma3X=H<E%K~ZmL)zdJ*56Uiy@KuWO3spe#10WQA;N!tP$6GHfk^>d!(0zX6+KSm
zfOxM!?=yi^V10kx(eLaAR@&fT)cBGU#t+qc6*5ynW7qqM@VqVTg4^0b9wu(UZ?;BM
zq)@=MHT~kqA_M$#p%IlY@<8z7s#`9V0xJF^1_V44Bu@IjV3y(o`_SynoDMQX^&fU!
zI>-!seCHL0r}$x<&gVFOo(z???6{0v7T^hRUX)rEfR7CM+F5dBkQ&%6eQ;aXd+!4#
zCWLT+-V8>0q?16YA|}KulpPYnq>^{r3V}pZQARf>37$$6j}LHj!f79~g+Cd>Fy1dN
zoqA0RTyrGSxT?7zzcFU~f{-Z0sl_oha%zFTY^Il7G!K~1HMu^`6NB8lg^}4$G{I3Y
zjNLtq55m5!i&8x$pnI6bu-;k|W}F)JuGtE}3_r7Vi-8pQFzs2HVczZ+828uo6NEtL
zD}NUZWZ=6{2%lZowx7rD)N9GZ!S_kFjae@_=)0SC!J>u;FANqqeys>WSnSh2haP#z
zGHlJudrO2GHu%PHOa#26nxdZK@DLC`$(=h$g!GBKE#7}bp=sA@S=Av$5dZfa*CVG1
zeT=<9_`Bk;CeYo}(4Yhf5)n3rQJRoR>|W#DD+$KS>fz4%Dv&oeeTpcm1rl|oyDpQZ
z;lT;IuS_)ooNF424tHrms_#mtK2a7P#H^mKwN`_TSE?#ajU<?VE<3D<mxukYON8$Y
zs)Me794RlD469e`4jwg9fSUgC+hOO4(6yv3JEBg3c43az1KxO8sS){F#;OJNUQw#0
zn-o~+<9`1sUJ*{&7+p)hL4wfrbMZ9`RM;EluhqEyZW|W&>%W4?poI=yp5)bm80#T<
z&oyP(nq{m^#Ze$p+OLDtMi-imJo4X>3GkxIFF!kx0$AW=bbOv3+<w|f(ehM<Kn9->
zuXzf{XKiJuDH?!sPr=d2Fg57j!&GKSphAE8d#3m*Ll}`hoELFJ9o%voy)ZQ@9A4HL
zxAriC3f^1_<5>;(>!NhFefykr_M0C+a+!dlRau^^4iN~iHN9OUDd1_Rf4-)|6xzRZ
z4uAZQ2>GthSJ%49F!9{ynkfMQlaVwGCu%}+kaHOSC<(4z%m}$L0RRlLMQi&sL8G!k
z!@5WlF0K9P*^H;bonHTtY7<Q;V2JM~D`|l0oz8AsSu=>}>U0R4B*L^3Q=O-qDmXb#
z+PNo~0Xqxsii0x|d|$X-ia)6g7SlB2cSB~7QC`G9bW;P2PH$QH`r{#2S0sLj&m7X~
z?T+_u|M!lki~J=PIoRb8o=%rBhx5yA49{HD;PV$^{H_2Act%}N`?=kp8gEm%z_fi|
za#sB=TVW6?C6vuhn1N?ok<-+D72v9!940#Q!?$^kqx^YhVD{qm)MuPB<Xg(Tuh(RU
z-;TvGFI>#PkMVB6rCW;NSlRk?&VT`SydzBGR%o#Qi3#J_x&q`}e?H&Wvw+d?5A+o7
z(co2qbO>9pJP_oc6kq%D9YZqP)2mDaMa^Gd4z9?+oOD)u;=4BNXkDA&zY2h*fggT@
zN>X6_K=-?6;v4$NR&>%Ma{%Sr!scg##UZBfLgM$#9=hLr@ZRG&7%Wx)gSJHxz%^=g
zC1j7#6>1~#ADT?Tg!D;sFiQwZW(u{#+$ZQImCnk2Qzqd4A&6l*LJ-sf!Z>A){Gi8o
zsfgVcHv!|Y|19_=`C%p{mLnWDNhc_cT6ozQgI-3&z9aXz;S6PTV&c^g`myTT2a(r|
zAdq8(?&-q;xWzNYJ5s*WEf$_|FQFYE_CPVhKb{o^CR(Jwe;=oFa5nHJvF?CzizxwX
z4rWjx`h;(`kJ1@A8=ojU8baTSyc6*g1H9M%_bukqF#TjpjG6Bf0|;zdPWCL?z|<)R
znr|=l(M4M8Zi@WV2ai1li%qbK^#$a<e%9MfU+xsL_~WP#H&e@<wk(%0__LGgWkm<Q
z`Q*Y(QHdTL?o37VWeZrBPf0}!?E{^NKQbgIq6Yy79t7%Kp2Hq12<iDge@hp6xR}lr
zt_#*KSx5L%XE5?cK<n;rx%Ar?TYi}S)`8o_DbJ|v(^%q^amH%-V=VHXkm+4_9q{y=
zdKl{Q8%wbDL01)DW2XPf2Yu_%2C`$#gA?jMF%D7Pp+s6EmPcO3FWG2=&y=Ms+o2y=
zbXx57;*w9;lfnr?b2AluEdNnP7bh^K!H=ZKf1k0@HWEqGnhF-zU3W7LjbkC2d~OlU
zJ(&OPw+?(CDIlG5WUyIi95eWgHhnqzuy5JlUhUaOfwKlp6<_1VFlpT`bx!^vOguLI
z-0%Pya52&TJQicv$L9=(`|pfkNAFFl=A0sfrD;K>t<D&>-m{pOku!$5ekxKGUm*b*
z=h}ANbqxE#YWCt-%LJwjA78U7kRabshwFaH7$&BXm%G6}iTR!TN1C<Q0(ZY-WG(%1
zEWcvx-|<7gu=!`ylsDHjfy3bp^!*;k$m$}Te+H&7<5v$EcWv`xT|^>c=+gwI)$&Y7
z;`(3ARJyhN%9;iQ=zN;i9r%tlO`E2j)SSh>H>h6T4cq>um_xiNIf*535hGt!%wdMC
zNHRS}9lrFayimOP6Z>m=-Kg*20`^oUy4L5L8ib@Z>}F8@jS+P9uWYLP!zR<XOCOWe
zfb(gOX63&rEZMUuGDC71yP6WBMvGB}zqB9}zBP?CZ}j`87_DNLd=ufoF9Ng|mPJ0v
zoWWL37332W*0I_LLF#`U2(W8CD9~zb7E_{JXcCdy!mP|6y^wyR0(0<-zHjF|R{2gj
z<^3E3{AKF-%|uiIg?Rni5A6$>p^mFmRR|NjTYeeWk);f3(Jn%Kk^eAiYqtrX8Vig*
z-RbdOP8s&Bx~t3{TE+@3j%p4tvVm3Adf1L^C3u~qXHt1?6?2Pz<bRiw13syJ(Y~jt
z1bE&9W};Q=7@EGZXTyREq~bo@bEYeT*~44E_ULb6nTriB9<O=eGsgf6(Nz($q~zDd
z))`<YE{w(fG(QY)JzF1N!$U!>q$KMVCfE^Xd7qOi2<M+Y{2P&vhr?&18h@&@z_3;6
zi|d^@n7u35rMu0=18b%4;u+Y0Xn|J}Nf(A5wi|BOmGB^t=60W#l>@H*Y0EvBBnrFB
zImL{Y6u@qLv#QOQ3*w`>=R|A8!DDpkeatrnNNm0>6#JY9c-i@u`6Z;FUoqsHXomuf
z1~-2<bmfQBEz<ex&t)J%rGl4pPywzeya`}a5`?MDIHHEBJQ#h-<R`G=VdN_*Rh^Cl
zx*eOiK%)Yfth}@OX@iFcJ1cuiuLuJ};_f87(~2M$6`Ovy0uNIsw>F5UMB(G2tN%$I
zWoQ=Ntq0bM;Pj~M>%tXr(226|my{vE@_JA{6R#2sTPGdcY><SF;*jYPB{eu~o6q!>
zOBq;JS<EtZWuWeE=kp?K4OmY)99m$b0w!svrgnGB!7q=i174AukUsV2hD0|3c$A#h
zQuZnUu4C?n!6y;~5>Fn4Dm8fj!L53{4G+nuf4<4(r9j{iX-R2W10udWDK7R_f^TZ>
z#4r*SwC$qCmov3sj{6dU#;5|;)tis1%(P)+<wrN;AQ^16oDGbh6QE~ru57!J4w#>j
z(UHla!jYjZr^9Y)(7yP@){Ivde7xCNn{#vk>kkY%#iRj}jysh2^L1fxT;LUFzaG@b
z82Pe1B*N=4tE#+pU65W}<9Ui1!p;TpLRLX7h>cF)?XX>cUZip2bb}G7glCM;9VEdc
z*8>m7AL+up*11>O&Zcmg$X4#7ONJrOS3ZO7I>6#(Vny`_P~Cn0<GlxDFedAm;M26>
zzAIB?T^0>)oE;K1Z6(8725Pw(8x?lOvnInUGw54%(n4Ki@MC?o@Jf;lU-bBVKV_T4
zVxkTI<9sp{8q9pI8q$DoAy5B^yITOqo`b5ryT~B8lCEu!5rBE-%Eudh7BE|3z$1Nu
z1nh!c3xTnCc$WaimGYM0b~xzZ0VXYIdK#P5JR=1a1ha4-ElYT^FC}8ik_aJ}m@9>k
z3W2#JgGdFJCER0IuzuyJ4j--XyPqCrhorCMrL|fMNc-fdAE&Jf+L>q6(l+KXt(lUC
z5B6BVPKC>UBb&+qytIPC{qN{odv)xaTFv2*#*^^wIz{*@xj290#{&Ix`SF;36LXL>
zqorJpR)E9z^5#X$7?Er(hg(aI8KkCq;5F-HA@=W$Qi1_H>YsizyU1+@9q~-Dx#^P7
zdehH^#flrL6`z}eAR2tQnzvwDB?<}Ncdm-b@S*yAyrabkK*sBsBad)G(8el8Kext@
z@)v)<jdKDxQxdrO^aMXRHV0SUh!a3OH<HKSq+y^SXs8CJoKUBghBNCFK<Z(H`2HuR
zVCCEWbL9y$EPwi382DWPv5r|=lgdoM-tf3sm-q&jOmr#c=n+7~BsTulc4N5r;d@y0
z>^$cC@79^hG657_(HLaAZUjOX%nzpp{J``wEgv1ZE`a0?st?L(8^K7BWZ3YT4s0>|
z%hhZr0rapo`Shir9bg|xM`xz$==<_{j6~H1(5)Z-ct5%!XohF>uG<gO_offu|HvtT
z6#7;5NJ55S&0(5x<nJ%KW#+D1)W7^_a0-oa`x`(u!gQ+5=IHz0QRQDu@gtprfS_}q
z_2J?kh8;?e|IvSBs<_B=2%zGm8<jte^<lJJ>VsqQD*f1Lj<1ng0?5i~uw1-I4_GKl
z5=YE7>2HmW<mH|eKpQi~JFAuTK;pls0oh&#w0r#LluxYyDw;Unl##6qC#~M^v<zlK
z%I8}4`4a@ux|cjp5kVK`?43zItSso5KVN`Tfgs{^vt8^f)d9k&!^?_WtSI)O?fr-5
zI24*Vy@z6^1AnDy7k{&{qv{3IDD)49E*_KH+tjNKE|W_G_BS|?<k#504h=#Gg7+V5
zIIj)GPKgKKa&Vzjp3fqB3WQO0lw<5632jKGCveh}xKV&)yY+0L2r`X-y!5Mq3h9^1
z<f6#D==5&Bz1t><LbQbCYtB=F$3Wl*;{YGh7#crzdP@vN?`dJP-1eutr}DkdItZY+
zbPB7KlLSh?`LmI0mI6za4!{007DO+jhDj5Rk|?}?)4bpf1%_v96EqEQs8eR^^Dbv;
z)KXTm(v?7gTOuWL;^sogaih-RF_SF9J@CkP_oINs=Ek>Qp2Fx*?cB@hPjV>nrEs_U
z0SXwVm~M{5iJ(H2)s)aadE|hFc3Ig|Kw+|chObo=T~7T^@Zz8XqQ85>`ehFVLd(ip
z>=ngPtn-wU;a@!RShQIaIZA;KaAn5iwggJJwYM^dM+w!A`^_JTqJTSGI<3khg+fN-
z7?pLE(YkDpxK=d<SU;a(T*{C}oD1x{QO8t}hrVIg3<DKBuBEhzTg#$v4S$)((g?_^
zSjI=)oeF&N+0zw_^609Dt#VY4D(VUinX~ys1yTub4ELlwTFNo7>)=yIeI|DMGMu%c
zeg5lF^hE)=$l$UxOf}HYv{S5l|Fl84E~Js~10JcCEPr0{BqFJ(U)pbrbzol7t)rN(
zh^+h+S#wWlqRQ(>Jq}&dg@Z@G?`walgc2LL4%a$sA?7Ye!oxFqz}2vo$o)(i2@iM-
zt4fkkg^Mhe<*YvZr%;-FCPf9!GUdI$@q)Cii=LtBO#{HD+*Bh%2uQ&!YSe+5jAnmV
z8P*jWLTae>x`&-AQaqrvah;EhDt^xUc8~9XZ#SoPMmf|_*ORW!)}JJFgTZSiP2Lz{
zE|#Qs6sn<ftwy&9$4Mww@5^CrcN1vZP~wu)R7bJHf!Zp`T1dVWjm;*Q0?AE*K#f&L
z4Y!hS7@pTeHV1eHy2~-RgNak9b=&oP8;f&XL?l`NdB>*Lc0BDLQL+1|j&^qp1fTU(
zN1mE9T?yR)3fddlQ-$iNEw*Wk<+3WeC+xa#X9o>#4lIg(cUMQxN?prN2C1NB$=Zw6
z(KMjS=Lm$4siDlN&{2CQCA9M6Dtl=?4ZM?%g?Q1_5Z`RzsR|+<DHG1U7M!5L1zr(>
zzz|h*DR@(NfJYv+T%6$cou$Dw6|MiW?h{ar-_homEYgVM`?3<}Pa1GcE!!mAQ$ax7
z;BF#|qf&Q`bALb4K#tcU7`v>DW|mBH+KYsdz|E6lq1$}K4Yo^sc2z=-HLTmay&x(p
z@=KwepuvGze=Y+pMRXwo&)a*47tx$L!UmLR@b`^|`P!BO8j;5omAg66*S6>F?|T3O
zH$YgVOCGI7R_-4eWI<NH%V*541AHugw=d5_4q1<OUebTUh$1R!duT*})SIz{RDulR
z8*V?fD!NJcOEGik%)($;zfG*3TMCVt$Ju1dt<t~XEW%ZOnL+{c(xZ!f5@`BnZ1A|=
z65Zq+^S(!9Q;<JidcT({hI&t&^}S}eNY|Eld9F3s1oq0Lr3{9MAj^2#I5XP<-E^>Z
z$1*YoyRLBF`#*$GYv-5Kg_q~)?!!0d{_z;Y%IJkD?Mpc1`i9G#>Bc;r{RG|Vn7a`q
zB>vuXCkdkDk6mZ*EDQ7%v2V>q#XG>2O^-`+n+L(!<R@j{7wDl*JI8VCJ3z<%t4b>u
zA3DYG^1=tHe{_!kJCEwahA^3Rw@B8K2NCOis!EfV=yun(Vyf#6V40Heh5aoT(kDbz
zW$s#`OOlnQr3nUbhT3`@AHa#kA9OLEA+6E9)6VjaC+I_@a=0?9CkOIT&L7sLZP4Am
z-(=_C*xs+=Z&AI%*^&3#z-#!>EqamE7xl+}dhp$CIgh8E4e1D<+=~6ffW}`<_QZ_q
z!Z86cRuxA!#4J8;U`l2}S9e-|@AuS&uITWS-0Q69a@H?LhA3t<HT1LU!GI2^QdJI~
z?%3u<oNB_Wzbxn?ZbPQgTL&DK9+%p+Zr8o=+Rc7!=tA)y)u2gjIOR?CVxMJ2yoz-d
zi!2;Sg+pffb&xiE>YxQW7_cGTM$g9M6`Y7=>0(M5t2WRCqdQ31Y-m+0CMhw38~xPf
z-MpGgg^7glNlpqo8d0t2p`PGHdW?p6XFV#6a9U>HA7Mv^ij`A_LHy`(akBl9ZVH^T
zD|*{i!GX4%_U``GA%LFfUrhZQN`c-bT$185P87ZGUfc5xL1aZ5&a)v<V3vLVA%#XR
zBz<L%rUE8}eloWtboG+KX0mpol9>kyNJjMYrwAi$R|Tc5J7iG5|ID82I4`<WWT9on
zC5lel`ujLKl0mCKPAGDo59MSFpTGS;3<(PHVLoDH$g0wW{(S;Swt<|OL6bo4g0cT5
zxA*k8Pl7di=7OkqB+x*dOA1*;qx$R!5?D0q&(&GuP?$#B(4jeLv}<~-dDM~wrpw+!
z!9GGr;xczl+L|m{KXvp>7oG$<hcdkF9|@zJOsF)wFOLkvuF1}elOW}fNUrvz2vYHP
ztIm3@fNI21Ag2Zi%DGLxE;)!HfsyvMycs+)cRwqn<4%GTvGw-YXL012H?4S2UkR-T
zw6F~qlb|4XW$l!|B#KD*&xG@~GTM)8oEZ@&gYb52jU-5;<`b(=m!?%v^;y-glgG$#
zM6iOBe^mzAjRdV7c2h+z;m>pV+sWYgR-|raLJoDW@>-a+s3AoGKgmOTDd3x>BUQd2
zk9-bzSUMYPpz{yjE4TioKwP`^a2>-okA8l;%9uw)^96f+xC^OpBDC~6Sws;zF#cgT
zV%9?YuAQDadQBTrHZ#GSq=cNZd~~kvB%!ofg9o=R>40(Ky{HviWi)lkBQi{fj8X<#
zWvml)fj#s?$j~-lgHB~W>3Km$C5Nhn_Sfsda}9r8%}@e*CE8JQgOh@iN*-L|5-<RX
zGcS4|QWe#gc(obRD2T$EpspBX2rSQu`+6^`A$+>>ekBJA3Xv3WE}Gl{FuT-d=B$pk
ziB;&TMM0-_Xzt}WW(-*wxZ*rP4Rpr#K+NSnGP2!Y(8V)m0{&-qnI6j1K(wy+y9}Ml
zNa>T`?+|AURzy{kd<2N7kV*8btsx1GQuCTDT>(UNRgYHeB%+g%qaB+kHBms!W<k#q
zzz|93Y3(i|()tndN5xJ9c^+L^EV@dAsmgns<-$btd;IslmOrYf(n4d`pE(+6Hd`ps
z^EJ@Hquy8LkE)<&mb^_rtj)lb@v{OO$F?3*$rDrW6p`f<vXIj?GqBwqcqu_o9bMqf
z&i|;afDGdg?6S`=1IG`qdDjfp(0jvu)#|!3sH65ouR*36+zRD$kdshF?<ST`$R8I+
z6qOd;@E9{lQa&4y+^2#Dce)xM*c3v({_}Uh(+s{GHqhG@t&AqPc6EAf`)k5-&MJ$%
z8Te8iM48o<&_u40+9hR9^yr{+mQUyZIW-V3-iSvxJp6s%7&4>XK6@oQLuo+2>Zqc0
zNC5?%yyDe*cb)#E_`TC{X&R^ok?s4K<&mghoNwvP1^UjnTvi=b0C{-nr*lVSkjtCn
zv*P=w=#v&n_h^pW@v320_@zNfM2ut==S>}@%gTC`Pq$)_tVU><2op!z-$2P^x|?3c
zH8UH#VG8@--uWhBE{e=+^PZY2{zvc2!yDUZnZm7>t)}zZ!YEnVax**i4Lz~_bn3Ok
zCUE$34KvOGheYLFBua=ybjJBd-D0W6z-fP=a5YH)VT6HogT{RN=z-rF_j`@N)>#1G
z#>a=sCp*>`FPGBaX%SP6rHsI@N4a3ooEsIzH+Q|StfAMc9=)P<WC!$ousVOdnFF;y
z6PPgB(?l=6T;F`O#1OJcVR9l#YzTL$1d%z~>G|YH+xJX{up^WXlzbMX){fO*zxRcH
zvE(tkzMBF34*&rF{|uLRG}eC<$L+m0*&ge8jAz*Ed##F;Lb6gyMkW0UA)+X&WT!|&
zD5F9`(f31yghVJM*`vsete=1Hd7pdEJ?Gy0e!r&r<%52%F`&nhgzpAf{rK3&)wZ~o
zx?optUbrWL9&xaL@+_hIiEEdb31^Dx!cUj~HeVi~LwT>1T-qH+@YRzSJPpEiK*HbC
zXIJ_r{wjRT&cAsak5%++*fXvTJDamURSmD>y^?42PaK%WFB_eREj*|V)b^s+j4^At
z43{I-@y`t2lapDb*Q^B}94aaZ!T<2a=okfQ`#C&md}*fNL<>mY7+w3Hui^s4jc=O<
z3;12$#@_I18iW;D@RpEP@pV@3NG|FUUcyFr#HmLE`KYE}!^11MPjRs<#qckFJW}5x
z=oJ<E1GyLzKCj??osyyx&a3#KaJxqtP=Pt=e2>q@3eHr0cLynD4PW%_46AxifxP&U
zpDRwQczB;C|A~nWJUY}<?y3_7Slj~2JjYgXLi}du3o;$@-eNZtpCW^f?F4`Lqks5D
zhiQP`WqQPu;usqmK?alKZ5id;eQ8(9q!K0=(0kt()E8o85WF?sBUHMMcbb&;6#FtE
z@5il@&rWH=(3IjabGl8Ofv+>ala&SKy4~jeSE2!3DvFusFK^)iv5cRNzhgyrIRs+k
zSJYuqq>H4LMTchTZ0%T{up>iNx0M%r)PZ|0-JmLo9x>6esNO2)MESg;x+4W@px1ca
zx9lMUnwBURpiFV2G|B4+?{cfb$((a%yFM|Z+mj#JGF13ba*?)TbT|p3^!;z~Dlns7
zy<Pl?LHx*hlRf(A3K856#dh6IXF(q#haY(T6hKRTMKOd3B0TEmJH4#NhCF@$`*HV_
z5K{e_ld~W|1V^G{%g1SU^s$=#*;`Q&bZ+b0D`JHzES^xFlljbvl*buo{U=0`PP$IA
zueT~JxnCFL{>6>zzNeXL4T>X^{Z&)hBvp`!VSN5qoDW%x1xm-#OQO>xxfymQRnRj_
z7m{`2M}ohDvr6_!qa)E73N8yOV80m5XIUnIdUo87d*>;O{CN`af^`)b$qbfIB?_St
zcl~$u)pE$+^-5rzf+`&CN+5*Q38Uo8OD(sQ6wp()=qHk=RpEYs=E%DcQFKA)h8SBB
z0ln|mu;S`hg`n#4VOs}rloD?=FS%0*MRf-aBnJ}VB=<0B^}r4!n;%I2y`+p@|9f=9
z&y)lLVx`B0&r6|$Y)*GwDpe6jF#hzTg&OQS_4W#_QU*QfO{6tlC84uJGmo{esRNgn
z*pah5a%lKwDc<O!j_e*B?v>`!gz)n0{O9}SQAbm~)dzJ=l-BwCkINY{95XW%qTE+N
z1NFV;t082>T2a&f@Dc^uT+VZJuM*JIe&>u)TMDu~^Dd~diVBkJC(=Efl~6*(W=jPh
z6&;NUXY!ZQg1<phl|I$V$b>v~+^w97{6girbBeU#cX^G4rl2YcbyUw|)1aZdLn?_X
zM|DBuj%!twI}x#rOAVC;(GVZ+M<Fw9ec+dAsrZ#bLJd<nr9)9P#1-IqSx4Rw^zJ&`
z8Oc*aUyoaG=kKMVOGEn;U3M6Q2=Up2<2Te%PDRqi2klhkbM@ST!vYwjhAq_wVH#+s
z6QPBlnTmF>@km8o1W@L=+(RzcKs`?tmai|65t|Sly{4NfgdC0b^8cxU?!2$;xM!w`
zkl!XvP{9nmb9XOZZ`442d6MZ<G&LkNX%Vg6Vg^R5h6baDHPD34UJ>apDk#Foa^{?s
zIlOO5cr940j@s3}hDA6iA`f%n;nn-*keuUnaqxv28f2YhmTQqiDbE@+13Sz?DC#B0
z_XrZY{;7Gw=$Rz?%HO3h+G7s3GL4e;B1AOy-w(}SIwGhvCA^RH+8i3Y2QC#vtDu7(
zLl0lr@gbvUh&AZ4IRud9BWa(N5ako4*2RDYRouNdovdjNpLFJn`UMqH?>RjWi-dpp
zNv=IvPOWB8(ehc{YL5civ-mIDL3SK}=A3A*?_vf~)yAAt(Q@byI^uqp@ex)LYTxpE
z&=kVl&3KO{%OEDzFS^=SM=%EIwzrPQO<~sj+}~M!Nfa6E5Uig&hy8U6W4SN_K!>Ri
z<+;VtP0z-3UZKC(mqge1(Ov*-GIeV&_(hPBrN8yi*gs5U?fgIP9t>C*gAKm#5k!Y;
zSPb6zY+#WO7WdAKnn29UY~Lrfe2Bil;b-)ZO-!qA-K}xM81`k3thTjtp^RC{ONV2(
zFrnf0pM28B@b8j$JyQ}J3RySxe|>8U6C+in4ed07NrpAC*RPmR<g;4K>-t;RucudY
zS%MAW&N>s1juk!H%Mcg0ki3a8zs0;|OAWx&PBZ<y?>fGaG{30!W&?B3xzPP)P9LgA
zr0)$*FXR4;J43=huVdz?umdOc^<jUW3TF_<Jl@IAVjwfMhD}kzua(5;LGEOB`MXoo
zxX}8htQ5x@cD+m^LE@V(Og;M+Yx!mvS8$s>E(ZTF|NOP9dv$a{;$w8({J<AH2^-v4
zN?pbLu1DYhovs64Bg%gl-fYD|Z`?6}bGsfpIaB;k8^X#m=jEjy<Hak_(hCb$us!U$
z_%2UvC>v}@a145dk?oTz&j+kv*9-^lMSao&n<K^)>!fy!C${E&)5#U=G>P$mhNTt^
z#zzO?gkEf*=V2l9%@r*9$8#iELxX);4UWZ51DGg-&=t+06|CO>Ac3e$gKWmOwyi5e
z7(@G6Rml^p*pg3|p6*L3bTF8P&*qI{=7Zd3_r(5T_7QK3RrRURUSjItojZZm6@0IH
zvhfcSGuE$|#<%}WYwm1h>@@aN-h$vMypFkaqSjN^6fiOsKJMr-gN1!`F}Cp7-iO8Z
z)a*Vo7?u@<r)U4cDobxfOAl{iZtN0c0Vl~2P!)R1ihCY26f+6EvyTqU9QYXqw={uD
z#0uMD7O=Dcfj4qi^k7m@SF?kv3FJR^{>ywzSYkM%Z{slr(D#x(QgBKG#%#PdgG-jN
z4@5~8zq^beEa=H{yI3729@@36d8}Y=t{M;btTBORbh)O`k{W!Lx2ad6{loawEnf^@
zVu3rACU5sxssSadt+-5a9h2J_$>bohK~nxmO7vY4__l^-Trk<h)K?d-PBU<T&1BYL
zu}vayP0Q#So6><px#(MV4lW=Q`A&y;6JbkWxijn{J)lYDE>jC02>&TOpz~D~tT!_q
zYCbZ+*koq>hzlR^o{oM?e@GQlPbP7UnlpjnqaAnBOZg$+&`qj*Km}eOYGmf>V}{)_
z<M2>L5WEStqju+1AjHvv9GJuko*AO7+4VwTZnmf=E2sh`GEcv!on?olg2aECS41Fg
z&v@OPdS&q6?drxG#tBA?%?lDI#en<p`pFwtl%eI4+_#FC+#qsU<ds;s1T02wct{*n
z2G!QXW0(LRNV=?te5jR#y*-Im%|^=Lc=}Q+?#T~PGc}LzYsdgOOx8YWyFPYg>d{2E
z0DRAGVQ-(1g|b9q<*!4^pyM)%BTpd+E)}a2a*zj+V_gr&Qj|ePem_lHL<Anc^o;lZ
zq5zTinbqazmEnnBv=PI!D5T4pnD_=O!ih!;%2=ohJm8cTOB)e~um8z33~MSwaYO~P
z6ipSXtMw-a7$u>gi?u##V|)Hzr-!ZNh(Hs)yid(a8Z5wXCH6ZJGEb!@`Pq;_(q!)I
zjI%84EOOcF_g)R)SWIHqYc&{NXo%#0AP3(z+e~9>G=N;2%YcG3;QZ}3w)QLXz&Nm>
z)8{~jhL$DSHB&NdakSEjA0|M}F73WcW)vuLxE>oDK!LL@O613_iZEzHv)v~{g<+Ao
z``z7C$O@P%TQ^Y#3xW#%_a_w^+10d_k86Q&e_Ze5=PE!e74&3?qye++J@4mII^YL=
zIW1yD_*G{_Z$3i<z1Odkm$r1F-}C+n@iQb~f(1&ZoECg$<=W%OU;y)h+P0*8HDHVI
ziJ0Qmg170K&s)TefF+D5(p#Ypcgqcz-AifkeZA4_udWHO9xL1IN!Ea;mKCzM=xLBI
zKbSS52yp7`(bObOO}O^tFK-ha6_91fVKX^X=yT)$y>wL*4%@~Wc)TEkn!Y=4F_RgH
z5f-rHiJFj}(%OLS(*T>kTQ@VB%-{xNc!Q&*ChWHQHIVa>2su4w&-IR*gBHU?_fVk*
z90;R%bO<TK!#4%xCSB&R_)~z|P_GU$jAs+w%oITBM(~J=hy|Q7+TSUXrUow_C0I^v
zO2YvW(q0R73rKJ+Xsu8o!TsU>qd&fig6O_4$U@Qr221-ZJ+7<5Q+!&r%!VI4&r3*W
zPnbhmd@#euR%P%@xL&9|%L0Su{mvDc=Ah25S=O+i2)+Y4$u3o^*gGZ0EIpbz3_RsG
z-p@yX?rfC+zk5HiUsi-;=iivY__7uosL8{*qgXK0bQg}3oGa%rGZ1`MW8Ju47W&Rk
z{wQmk#aG^R-rHSc3Iu^&u2~#XFqv9ZGrMaA?@x?OVb?W<M7cZ>wtM0bYx>7kF?16r
z41|3BR0be8RMOV(B?1SgLJr9K(IbyXnH^^-01@}IeYL#>0WN-?5gKGbB`MxZoIV&V
zTiDfAKI8+(t;`1<wT$S@L-pfcK_;;Km=X6HjSI8_oh<jMGNDf^wR{&6jp4MW(Ex8I
zD?Ix%-x>-`XppAwYVq6%v|d*4v-D$x7Iv4nu98fMR;iF0)o%#J{LIfMUAD0OBhF5j
zIvLTaWYt%%c?}_dsmU(m;R@zZ{@F0>EF(%~dnn{?V*ozkj~&Av%wrx-?Oky!j7Y(R
zJ+~)GALzqu{GQyH!Zx~VOX+eLkb|ddc*Zw9kkOOEPBQ+)-ggFN{V-ub4}<nJh->OW
z2@gIt#oUQGlS9^xX6cbAvv}-Oj4m{%F^Jx|dKb&KG5=6lPLJlr|CBu#(*c%?%uSo&
zP57nMXJ*%L(xY-yhuSe~9RL=bIe)bmZzrmHxnHG6dR5a^XI^N7ce3Zf+-pDai)-DT
ziy8EYF=~l#O<o(C1ZQr2N*}{tQ9_Bujr8c#y`3gb8CtN&@?O~4bQ<qVUwWP@z<@N9
z+S1&3v><al#rts1EWT-8yX)p92K45jDU8R{z?LF2MjV{O&#J}CoabOfA1=;^{@|p+
zKM(tfTi+IN<2Q{G5|xa|=01^8E13#`HZP`YKP=%9`e~moTxCMKY118FC8)r=v}^y~
zs=s*rNDNa!5Hrfzy^E>yF$E-OPfG*ySMf()1>8#sET~atx9ko>3P?3nm9O7j!<X!R
zm#4P*@yy!lnZ`~sxbE;$amd@i*EF@yJE*dwz<wwjIZcKWJ#l8w>bLL*2AGs(1qb?%
zDUs(E7a7JI8*Df?=@57vW|j2gLWin212~RpLRk6OiCPi^5{RgIe$}1_VO@JBnqFwY
z1N?T=F+WC>UvfeGjW!>;;Z&G8&94CiD%Zjm8<~*bBf01DZu}@ur8Zn5R2|NcdfbBa
zSde&ogj!{e0QxjJdsKQx4ax<VgV&o_QIeA3qQ{mXO15pgKYd0G`aVktKfAz=Ztfa6
ztPm-TRO60+EZ87HZr#Gj2Ww9B^`){Dw}L3Tf5^a~G>Zgz0o{^C7ThRUqfSp}N(`yL
zbg(S2CP9d$aa)-WFPg6&O)l(}K-2zuh3C0Qknl?Pl=^o*)IvPe?(ka@y_z^~<1oDK
z?@e!85~T%@H@;-_Q%wdv*M8<T+DQb;lZ{lZP(j2QjyOKF%A!P%_A8`*BIvoNCN<0n
zA(rpzk3>Y}(Vd7%pKOM0-(l*XdwWd;^}<U!vtR`j>Z{YCxa~)&iupoO24bkC+?cOy
zhJYpnvw6rh+j@=$Cq^C#)HHELoi9WQ5w6ii+&QEM3Wl~yJ=;8d@lu4Nh_DLU98Wp&
zR6!lwf7aPA3QHs1jF(#WxGLhAKYWZyNdw}X1FGK<WYHzgt+|PFB$Oo{OLOwn1Y;eS
z6z{!qC?~wX*;-W{RWW}#C4Y_#l+=_ayC`{dy{uw*>x%~Jm0IyVcaQ=MdN=D08x+uy
zvaE6gV={_#_YqTdrvhoUKX8sq5uI=-NnPF~BZr&fNmp*rVE$$S8Mb-z6(s!rP)I=q
z=VF86hqWL>G-#<mR~fNebf9oOD*B>6AzSXgos+qHBb>)nkhT1;s-5?!=y;F)09Qb$
zzdOG*UD)3v_SZ<9h~x!Sp7``oQ2{QN-c_y-Yxy<`idrP}MD1GT*UwZGJQQXS5Mc-r
zj>5aeG}O=`f#yQlTU2z!EHUJ$y)kTxbPyId)R3tDr4DrwDr!6)6B#X!fv}Si^Tr)@
zl&7W_O0}b)Kcc7UHT(hOyKDYNZm1*YqHAHKePp!fre^=Tp(&I|mfQ}P(LgE>`7TPx
zYaluYy4SgXOksc8&hyl5{nggGpTpK96io<iQ;9JHc^}0Kap~%ajW5V3jiQ1C%WLRp
zYi5w?^J>U^N)2s(ZOeC9B%r|&y8vHnbCADsX>@37n=9W526mLnA!C<ayeR?Z!28I4
zW#4xq;%>J!+T@Z#&#vgZp1x=f7Bei5_9UpHgHLv_Z3&4Ytt%#U4#&*loYmV;9|Tnp
zq2~qTf&2XEKYfj3NZlOj4i*zEFDs#W6^G&-iR_4W!{g|yAv0kAJZHi%KtO3X|1O*%
z(xb3Kab5RoX22(Zl9*3ZKy-sABo0#+@oTsFuwW@O=(M{3urXc^X^504POJaK9liNm
z%!*CHf;Cyl`Lhf<t0MJgAubQ&%)TmOp<@cwQ4^7IWs->PfLm_Ru^*UNo^IXFHvmgT
zDXx^4;>d9z=hk)KDNOzo&zR><fc(wi*Ii>GDE6Ji^ANT<j5p)qs?mK6q8HERKHe>a
zygsse8fGqF*ZhB|O;(wJWm!D>^PL|xlm^!H$uD6WA+vNGea3KmcXP(=eY{8~+^3Cq
za0xqY8_%?B(+J+PW=|^Y=0sK-lX}8*%b1&fLdF2e2-u=WLp1VOkzkUGc4^TP_NV@i
zb@Nd}=-?nQEF5J*5pq36ub7rFX`H0fk!=7>QLhII1L@J1&$`U-loql0__JzxKlGta
zU;gj+>J40=-<NYrc>&v?Olkg6(T93h6H5-+Rb0t?`E-o<JZ7+7eAGTz52_~<&Gh+}
z@K@3-t1Rqu*oT`r*8|#g;V252TM3)P<ql{r#nAo1`b(o6x0H1O5eF>N%YNZ|iiVb!
zd1f%B;Kqvl7#+YZGG+59<9Oip_cBg9e_;#^TONwPw1F*jZuR$(A$<6>znJIKDa^$`
zJKgx8HoX3_Gqu_F8@`*;ZC|`+5_2L9oU5wWg6zb`JKodXcngVhsY!MM^A@2qIia<E
zzt`nF*S~$h_fEH3f72MpF0c#U5G$ksZnw93@7X$Bcs4wTD`*URk3=pPDbRqgX7Qle
z!4f=2duhCTX%y2)pBGrWPX(3vy0u@o;;|7`|5Ce>Q7p%kF=Skh3g4Pj54Z-GW7h;5
z6eF@mv9n^9`S$q~$flp>=;E%!Mq))~-0)E>zW3ixf(8ZL)2$v0Ha20&bB+{Au`z5R
zH#g9%nhZw@N@Vkx+OZ>t5~_9b#<1aUxo6UMk-^LFv(ordC)Poq`0uLMIQFALWr(j#
z6D)KNo%pY{8=HSq65!xAfvxflQhEC|;G7#ce7o6;MLH&xpNg5pw56~0&~a#h5vhHM
z)AlPyQ0rNinViB3zx~O0YoZR>(&dNvg}!6LQS&EUqJClYT5mb@Le!vnz2Lsv<PXd|
z@^Ab@rx{H0km3u|Y7*%3;ckJae`2o>arX)8{J|b+9nxyr=1S&$Cu{VUhcM%0kNu-Z
z=dev%>+~`!B0yZ(&4!E-EW|@rQs~({#(4I8(cEoS2wPTSo3b0jx+9|F?GzR<%@~o?
zpjj12)|g97(VW13G3|A&MN8Nfy3oCP)+%uQv(V{Jlqt+0?4tB={9jBaqBe?Fs0>z?
zX9#QVzc8J#zri1_u441~H-k>`D#M4eJ@q9uGg!oTFBj&QYuL^6H44)qO0Y0|H9P3>
zA53;SOu0aI6N?<rEPgks2x9_iF=G7ln2ks9MCl1SFgjJuA$3F%Xht{mYqA!w@172W
zy9ekYI8jGI;wu3rE;3GQ*eqd17Yp^X!x^F0NX%x{g#eWw1#hG){l$!`NwtZ)n4wAF
zs4Lr$0x<1;rgA}Z6&uRo#C?Djlv^IS7Wpeco19*7)2TJ=GrNq#z-e|klR;qhU{Zh>
zr{KGDgButnw4+Vv6DOE!i<6u0%fmAF#*zQ5=|J4#%5Z)l55T6AS-zz_Xqs}$aWv6`
zNazKZuBUu(PMMv5c0ms852eJt_hp1j+Ipt@b_>8>x;o|dVmWAKovDn~VTM<&xw{dE
z5U{0reJ%Y@4!T#fxKC49f%({oaPO)x@P1Rbb+V9y`N;Tz-|p-X;olnRB`yZ}r~Rr1
zl;ptC)@E<-TTZBd_4<jUp9I+a^&9!LLk{#FoRBp<!2@!#FBRifC4p9AP29DufBa?l
zhSnoKa0$M7psY>?JU$<cp0JXG(PpLd{`vw?-rb#=>?sG*PYJdn336cd{#py)k|4a6
z4ZDr8D*%IQ?d^Xva==A97~b|p7);)Me_Px^fZT(;iVrTz!!tE!J+&!OkSxo(^QBS=
zjwX+=bLc6+#_@7pHx&tRn;rdLh*TiU#@2_XMu2Zu{QqsFOTw;id$X>L6M>wr5-8}Q
z2&N}{Gx}*VkWMx7X;4;&w>@0dA%jZL$0wuTL?;L5xvK_uhH3%}r6Q&Eg$g`kF-nfT
zBoET3UgWz?k%8ShDE`I-5quYfNizHdxSNpKa#e^5p?ZR)Pp+y%NvmI)Y=t6BP@7GI
zsWgBDq7&7c4DOXeHjyWkp{OLoy+cn6)VZDBuX9l$iQO%H&kj}i*Zj?pPC^?Xmr>?F
zPAx#$jwdg)5y5yfd1vE0ZSb(Nm<=$~f!B^Q_FZSy;EBQ-<BEn3JfWN!%`Mb}W$T@W
zlofRdtL;jj*w%T-GAX6%8iI4Iz+|t3CNv+fp%Is~LFr^{eL}A>gtVmfJu)OieSKAW
zfsr<d%$}Us(g*PJ;h)raOoo1M`pX3(T44RScOf9e6pE!Es_mI1!`q#Flh(0Rc$zNM
znviV<Wy{IQZ&%6i=6Bi@$2~F>Cop`zk+JRXEU_o!ddNVOtbG6BhZ@KoyUjy6Yyon0
z_cUZ9$e`+^oESk=0l8a$3%*ZUK<vla#?Wa^AZJHBPCujoVUYup#|<pO!v2&4>5>NQ
zDB9w0G?D_gKr!B>{gz;GP`bMAtr|Ga?@dZ|6N0Y)bYFzhECHz|gu8wqg1U4^pLG!%
zgj_D}^q#VS;&&dsR!>wQ<+-Zl*ZoUa%H(9lsR#?m+`8#rdP)ga-aL9HlUt9AkJ^Lr
zx;bQ>V?209fdKBrYyC2hmhjRkgSIkXbHMrPci0Wcfk^(ZUd8|h<gB&CsM}!%I{E7F
z18il0bNbBt`@7jtFmaBQN;QMWmkWm``F23eZ-Sn33Kvq7zB|2o%M{`tm?>3pi$aw#
zNv|)B7s*~$Dc5H(h4%VCOB(wG!7#n>;?HJ2R4M4ANq-)|=g65GZ%TN9pWk3#zXv~J
zb^PLH(}Mx$3jKjQcI*)9YGF0~lpj@By)$b4Yy#+xVxm?YBb3by3KcZ+qxVC2K6%6#
zY(CQ656fJ~x~zWVUn}`hT}1D$N;+fE-QU(;y`2xZB7z#HQu)!@^3uw~L?gg&F1m5J
zjAE}p?XR{v!H?{g9a?y{bI9X}^@*C>&DcltTI`P&KMG8bJ@fkhHg{*(5%LDwZ~<&C
zrH!2*wY(8yIytQmQ_j0J=8K2%wWDlPq)9&HXtZo-g6YF@X9<UU-VFXhgpS7A%ZJXo
zcPoWu=>b8D$oSZD5&uu!%fYdS4;_(zr60Sc3zx&fs^i|S;0{Ncxp!~(kxL~!96hNE
z22n>SmOs|<oK~-i0DgY7oE6YP`>q308=}dk2k8*A*PTk%{ru=K*N-NWqYh}=++FFA
zU_f@-JiG&W{K$N_bKc$0+OXEr6ZfTw5xrEzrXC0iARbK2|BUPQeWbilw>{2`q^1g!
zzTXx=QZXgI8RJ^;{y%B0<OLRV<Yq<+hrS>Rw)#0H6RHKx2fi^}yu^lBID2no&k3Ss
zAL%qDK`roWg+u=A94I=RXv)?ggan$Lptp<$()@YHJa2O%s;jYW({o{D9mUCe)|m!z
zo$kb0DmRj;9-4Kk5<%({>zt;nGzhWYD%|^(2YFCFlwkd$NSSVozodo=QGGr6l~#Nx
z?p!Z<U0fUy`c)T+p;TZmGRWN^^P?|(pI4XyCC~xe?!KL{{eO}$gF=D;;*4MT^y=3R
zl&zUwl*>y6J#%yQy-I>8<JQMo=gU&aRQYSd`UC~uHGDf_uPcORxv%~hrOKeZm)yKc
zZ4^lGx`!B@g^|o*Z=v`|S@h%iyaI161;V|qaD-kLLH`2)0RR6Kmv=bV-y6p5m1OVi
zJwNvLeynInNm7WiMG~Qbk`$tptU?Kq$|zLi^C0n+vPY3k_KHH}=lAb(o$EU1T<1Rb
z>%K2?CW$3q5JggLolW&S6)2wGy*smw2c=?)>Q{rs@C}y+hx11j$l$(GAf&*DJG)da
zy@?V>A&bhVQvE8Be@v3`L@GZjcy3UgdMtsLHnXK%8C2mp7tS5y7sTBKpQv`#N}?sw
zOI<Kk1p@&K<>FVnF`WO14rxXTbBMsrclTAn&e1;l(otcIfBUC9j8_H)$QmBee^kNv
zqY`aWln4fP_P30i$Ra;c87bti29C3z{A#^Kams$7H^55{BPT5TuTiSQ)vAF@AFRc2
zqLQZ8{JK0c&bmnX=BtB%`%U$mgg6@H%^pdQQNS0?xg2s{8W8SFuFO`Hz+CTF6Meyo
zXknJ??F*V<d*_HI7r!LFTip>;Z>)sM4VktiB`p|H9xt$_l){ru1<RGgN_a&0hDR((
z8!BFkF`XEY!gcTWQ$kkC*!|kQDcMv9f@i*|d?=L0%EBE~t>MZjxR=k{!Ce=`c!%=Q
zR|ePZCT}<UD&v9qf#IgRdLZO19Cw3L7VBl1E7~}e@z=Q?p}`OOaM$z9FT+e(<m&gl
zIeS(Kwaxn2YQ_!VUT}xwIYv2D`exb65w3`T3<^M$hJgS2Qu;_%au{?wGvD7_0n;Ps
zxcAWmtUr}u_4Sp*1B~WHSHH?3>wpQ(&2WHSp|+Z$r{$1q@j+wrZdrVArHZBCCjfWD
z%C$%ZIb1E?$h%@BjXSlI!*vXd;Fhc-N#u(xK6~Y8bH-c}uN|O%9~x!^o%A<3n$2X9
z0p<@KF%-uS`L3!@o*O~dep{`aR2d`}D@>xgC~7J+-FQ)L1lD?*)-_GiX!4&L*qjr>
zf#1o`0zVpo2Hm(0=cp7ebv;&c$>T?zVk?1=H%3snKVOn{OcIA)UD$m{f(J{oQ)Ei+
z8$tI*#gtd)_B%2-2R~ipz|+_7J@9rlf=r3Xg68+)cr1oU?%-uZvDSqz^s+`^^<~Ge
zS7~DSaIaVQ8NHp@8GNqu=Lo<dyKx)3OQL8QXl%cif)QyWS;LHz0XT*q{AcPYg8D~4
zCYD{KMe>cF+gxS<MS*smK6izXq?1#a_=pOBBAtYKKLPsb62j}31+mcAF7(q03e1da
zE{#wmfUj51Trz?mqZIw3g!XQdD^rg%`&}}GwP#dMa&md`$Me7Sj_vE@HI7Sn+dmn=
zIM3uUju~!*SBFvp)Yr%zzZ6_{a~eRbn0h&r4Hxd58lG`ExJvfbp|C#bq7VIzwe;2l
z9LTb-(!7Iqm7JUQ$LVCL9;g=-1#ZQ$W9X&s=*!02^Y4k(1x$KSrtB-7?!<=mZ~EU_
z&99OZpU}U}bI}FYs^YWzj<8~V%{P|F^)>R2jHKPkr~?`AkH?iXv!E`gNS6E2zvNM8
zskcu=bznHBZ?#!#CtmHOZ;)NyAjhIZ+(?u*NdA1$JKMVht4zAwv%dTzFG{!F@LkY?
z;)y7wmA6dTQ5m;<)t3TQO*@MAoz#NpTalMLJ~QHEn3_RDEF})y{BhxWizfV9yDXE;
z#)#+Dy$@<275a{|uL_%MLSxv+@Zg&a$hP;^swfi;3K!oQldaK!R{>`XX5<)f<>)Q;
z6fatQ-1uSWrI7|`zdd7LvPO?j6I11N2Iz3-Z?~e#I(48naQ@W3NRJZ6YNus=7;xd+
zUqhdR>TpqJ;!Xh@1M+g_h;FhmVcT7Xr#-!Dz_g(*G;xdpS={SA^V@cy#XEOl$+K$E
z(#KH~Tg!m+OQVuOMLUuHE308Btr}!Xwb0ERVZ<uWY0;&ZyRcQnl94-06*M+F)(RPz
zkcH&1^lO|IIV@{^l>hIOqJQsw8Dhe)+KCJKjO_S;OTCV3Mg^wTz8;Pm*nz(fiyJ%#
z4pguB{!~0o1!})v+2umD6E8U!r{0g_#M6(`8)^@#z-occg3^8#%&#}LU|8Zp_u$4O
z0Zc0JicMng;`?2=ZAt0R{CLp&Lyf}6FC?fM3l$8=XGLQk-fL70d^krkNODRgL2qeO
zlWq(f)=6GVimT+u7lAv58P1Ym{<-w@{j2O~MQ_n@CteV#f37J!K0t!OBRtFp;yBRp
z`_mHUa3Q>yp7l>clLY&{tKwCPIq{(Mi&z_T5j3FSN_i_!f@PKHzYMcns6A-NQg>1m
z@4KqxW-5`OXSVlexDgNXS5EsU-4MgH?6C!7Ai>LruO|fyc`>(u-dCVP9J@6J!<0^w
z;Nz1QQVN><_{YkNNBExv24-IlV@V=`?%X@>ye<J8<@t4??tm1Aj92jI{~&?Bf}N_+
z-QD=c&4kG-TN*{8-s*Pfsz3{;NZ6fI!uY;>UwaUxELtq5GPxJ3K<cG8Pja(GkglLa
zV!x9ddV0PS7dB9ZeaSkWURk2ZnQ8c&{jEIenbVoajj6(~q|Y-4^Tg28XR@M<MiFlw
zmtP&rR|8%$1ue}Raa5+gd9+hs2?y;`*Lz~rVTsP~{k<9q6n+yp*=4JY)RB{I_O~>k
z)ri)^wnY+0j`=aON{}$7A)3kmi6*!&KPvsxBZa?T#}<@DknpaZ(%<=ZEeH#EHyF?@
zjhT_xT3%L@aBHkm%tlZLHa0rLR6og}e*c2kon8`N@m1S;bU_ym-zVKt*yam^QMpXv
zXA)}L)x=tS(}T)4q+Uq}IlRvq5qm$Lgi`L|BmRT|JV>CnTKz4DK3leXe8fm-fACr=
zf2JXX7$-;1cx`jnnyq+}MHySIu2*Hw5y1Y~u7a;f9vj!A)=ynk#Gp&UQ?mB}M0;wn
zrcNF|tID^JXUXH7bA?&5fDu@f>Ala%lSc-Rt8WfO%Ho||E}5!3MzD33D_+e`9zFQl
z5(+h>vB199=KZu0P=s94f7U67ZN&ws&?te6uK7MKipKE#Yk<g_xEu-%lA67bis8_U
zr*qei8iR~~-_b&IS)BfJXU3vK80)*ogs-|7172@BnXpF&BQ#mOT2%zlPF;59+Hqre
zVLAKWLRuQHusaHR^>d@LW~eKzt}%=#J^8q{Ac>usrUP@c>}XW)P)W~V3~nBlZwH=B
zU?_+0i_LE=NNIM(w(64+$ni72UbYv<oFjsLGc^pDJDwwb{Gt)OZoBALz$Atpj*##p
zi5ibj#d@}j8A0Q#Rhti$A{c%_bfh!&ANk%-I{l71fMJ#pE511)%yM*D+*k02OnYqq
z-V9fOl1FzBs%&%T`R}J(W4cS^!GgudJ17BkbB(T2Nb{rX_pnV%-5GK&qql^l4gqXG
zLimJ#^B{Rmri^C)IQb#Bp6TOrhCpGthdF<m3&RcQ!1wSld13Ff7jn-HV7gN?+>enH
zN2|L6->eOgPf)4(PL1n>P0v$X#Y61KXVh%<g`uB3^B_SZTUsAdd3^*b$gF6+@{Fn9
zs-NsX&^yuQqX$-br!IuQV!<K(TT0fXL2_tRqF+VXwhn*&RCp)HjKb%cU#ZOxku^go
zimuS=!rp93)4T;n6ySLj=W94hw)rr$B5+&>)F%ycj&9Inui$d3&DJ<Mc;cgJe6cn>
zk9os?V=o=jq^dYi@J*2m&W4JTS+pT;_`uvyI}PUYaUP|(GD|i~aC3NYP74Abzi<#s
zrp6`O<xg;Xfm~=`a_o1PCa9+Tr4_$Jg@wWJ?{L5pIsP-fYJ-s`bRTDo{aa3ny+7Xv
z=bT$6*VBZ`{wmS{W;fN4oh+1CYMP^>bNx5Dnyn(_w1fuinfAEF5>J5~HPa963RcNi
z<`xEM9;rjwvtp%P8WiX|e7n?RYMmUdbmCtVk2++BCTWIIP+)x3e*xvjn`G{jD@n!4
zYEWXP?_krnMc$ddKjC!w7P<FaVEan}HE<rucZyiuBC8p*Oz=ukBB`C`e)UsT*t*9a
zZ6!;A!!DnW*G5obnQ7nGMP*fp)Te)95J-Vl<gh-;Woo>dDJHlVRbYg#-p{g+0xKRg
z#Vuc<#m%nkhkI;P;C0-MYMxV+nCU%}DkMUW&HM_s<+CK<l9%$2rlP`h2Xf8lK?aNs
zToR^>CBf^zZKZ?ToId|7tnNe&6J8wY8lP1lL8AEl-RF;}u_R$c#JPbPIm$(4&7LWP
zH1E1SCeh%7&i5tRzgh5CrQCeOKP8yRSM@Y2qD9d{@Bb3=Sn*B0*masyN}%n2;(qoN
z9Y#Aj>Qm3L;RP?t*JWQ7VN6^$C(fJ!zgyGIG+T1u$$jixbry<HqeiQ>)WC={#K<>N
zBPXsb%19fxD1gY9<TgtG9mpkiZ`H$%8)**gGYNE803YAg?-Is4@x=EV$I3)`ald$?
z^ABbP2+?>@wqm#o4X$#XIY`NmN;Gq+CUx?_@+|a|Kq)JZX{<RI(FtOjgMsb)1bNUY
zcO7yaVZ+&>Yr^iTLTF=Z+)@xI4=;k6l0VCH;9$72`y&$(tl{8~A3i6)oo7x>lkae1
zy6KE<PlPDSCZzD*i<XC=)SBLOR&K0{4o|1;7Q=7v9?dw`$OHNN@!M&IJUG~LOSz7a
zz`{IhlB2K!gz;opyzu42Cmhu$*efM*BdSK0FGm3s@)ocA>=!`H)QacWCyj|yO-<MB
z6v4W<oc@=^ZZsF>l^GqE!Ow+XHir$Bz&hWCobM)#?1Hl;cJXqk8r^*Eg`+a)C;g0M
zZV^F~<FrYrtAGr-Y1LAWBv=$-d(yQoimA76o_{{7h)ccw(z6OGKzGfqNKa*(cN#7_
zuOpQ4NnOISm53_nIP4M)IwyfvG>cD5BT1-ADcJN`TW$Nl*NAkykwkEGWhl~6K?_%#
z6a7Kz;ODn5H*-x2XVPQtzid*${7x#X+;18nRx!uOt|Nmwa{T`V7^z}*7QN}!?L66*
zecJ!Hk1U3tO@Ifns<?6KvdK#d9l+SbiDj{JsMnd9!1z=Z7a`~*=Q~}Hb>sJV8!wNM
zIxGuQS5>j+mQjmZm_A(WQAtbjQ9yc1Go8I6s_5q_fBmSbA&k-$c$Et(BD0>H%AYV5
ze4bl<kMkb^ymTu2m6H|m9CPDAr3@1Oz4X^R?JK~i_EY)iI~B1xd*y09tum^d%K7^v
zdfVq&zrPr4Q^XJ-q5RWl6!6>d{j@|mV_5Jtn$(L^MCAkLcgAmX@KVRMnlA;$5H-cS
zGQXWC%(#_0Mt!7^Qc~&RaV8Te;!MlsGf==jpU~B6BXP|3ZH}ZiGXa|phD0kpd0aH`
zO?@gXg30Hy-QpZf;4A|hs~Wu=3Uj+8mk|8OqmjJ(+z}IS;;#4lo-czwWiJb!zU0Iq
zXk9y}XabyH=gMUjrBPhkXzufYUE4YF-XXDhWB9I-x=;C`Bp#C6LpvHohf(KeBiz!B
zp*6svEpbyE`R`t3tNpS`&aZy@YD?c3@)JnxBu6n!e8F36Nm?YsMUSC<ZAP#-L~<^#
z7D1^)bIMg8d&wuy-qEBxWdzf+K^Ih9gmCak0fq0$65`gwv0|ec06!BanjbC#NElu6
zZa?~i(Cc{|>l6gwDZ(hs9mk87Z~p$gTl<sXzt3GIzRkgxcF6)Vqg?o>KuIQAaE|E8
zDNRihAV4j)(f*(h2et=_xTx?i5>G$Ho;aXu2$k;zXy~NbaCLtDW{2St@k>mk#M#LJ
za?YO5MHv>fX+Qqr#;YZQQhSW$P^>=GyU6!Fc4tC~GyD026PF0HN7<H8r3asf8`wvv
z>G9g*5BF9$mx!Bru4B7bbzxv%MeohO)Oda5@z%WMA`$t-f3jFx7jDzk4Wl_Fp50@6
zIs4cG5tQ<9zBpV5`YpSMVm@w?^)vR4mB!2w^2%vUpPRJ7>|80eLi8FrPkwx-{(%|7
z<yFkzJYj8Mm5(n!)v`jKxFs;t$}~j?v81Q02Wx?RCU00k+!A@e7PW9}_fO*2OIw}5
zPEBai{W*TZbDk{Ze_yVsYK##6c;Iu3mL{Aucizo<eu_Nioa$EGFhWdSh+%BY*yi1I
z<Ch4radHT)=Y!wtL&QSBgc2}mfXzhdTBqAES-paojk6mhG)iAPPhM1q28m|R_ec84
zaz#HvF4z4aGFon|Kb}<sT~b+vN@Wi@ioN0Xs%kHBJ4CkA&`k}VSx5FA`q@rCtd;JT
z^{0o}eUqG=F{lcrV87B8*i06evClPU?Ix^FaSCKQse%YoaqwBa2C}1Y_SvP7PJ(LQ
zW>|Ds1@b88A4{!PljCzAUEZtML8L{V%4hOaf!|qNJQ_RRkzMKaHowcX6Nd*5(i4j$
zpuacFE4QPNEO3F(<fum*5p$tgEH{({EUpGW)E_(||ITM_FB)wn%q^EM$n4ziJN7{}
z7An@n>pg+L52m*g-ZYmDoCsxj(fjpE$ft+IquM^}UGc3%gr7~|0dFM`j8zJJyOvKF
zU42-7@=YtDlo4}hK1~t&>k^tS#g!1Rn0#h{WqaRE3K`K>1(-is+8A0>PE<!~ZrG-^
z5ptiX4pnUPsAgH3>rQzkK})ZrI&!R?2sh2RoN6f#vETXV>uZp(<>;#Wyr+Y37!W&`
za$gQAGg{T7MQe$w>)Mp*9-YMD!3R1?{j#7HefE`qL><8{UU@UNqKg<%v5`ElBnwNw
zA8D)3*Aw6QqK$%0dkB9jpK9joGLS;|BYWdqBaz<0e0-kfJ5m4f`k;BAG{l)5`&PvI
zg*aG5ldVP3N1XiXkwvE~4I-<SdGy`Q#JX)`t(9&+A!nI#P4STw#9h5~$I-o&SYL4v
z{%1c(l#cqlXHiK(%)X*v+s!s&b05!7Px25E;?;}?d?jJU`amOXX$Qd;9drB1z7gWV
zg@gHAeG+gwA=6FoUKior`s<b*<rooKRkmZ|pajrk*g9KU58?T>mWTXvoKQIG)mKy}
z4wX``u28mpCyux&INqb0B&^vr?VUgzeikn9EfGHm&fGzDnPbyL(9liyu_`gh4tVv?
zYHEN;$xUepot`BQ&BY9B8Hs_1ff*00&k&J)D4kxyWr46Q_)puaUKAMaowtu=7$E|c
z#N@C4StJtT8&;$bi$ZeoRp|aYN`yJtUEWdti%>r07hBse0(Aq|BcIfc6D!SHavr%W
zM7w7u$et4cx*}R(?wJW<%kP+IL*pMp(w4CEpcR4anGp9m%W0zHm&W{x>^k9?UA8J?
zAPk8*i_zESXNe0d@{10Q8-)0oM{8NZLcl&CVK9AWf$;luyh!Nv7NPG~GLiItH{73J
zE3l_uBDkC53)q4v!KuWf>k8d&Fia`bcKP~?5T@Qm$4yYf_(=(=MSDTGK)LAAShqsZ
z?{S|yuR{xkuQsk!RtSKUj<nE^r9Z?Q)7oQU-t;h778deDN&pz`WKDwY*NNv<3+3EB
zj36P?9iN!N4+XKl-E4H5#LTD1;sv*uL2^?&_Phi??CVZaXj$7LzSq7^HoCqGvfJVn
zyx;QygK3oOo=i$`R^Sx+;K2s{3v=OPr}?1iAZ^z9v(zwkq<`&`E(aVw%$hYI!Uy^l
ze|L!a(ZXWB_p%tl1t}dVnbfPiVDdgREFhO2F1=X@3B1Sy$rqXwTW5H|X}n^5o{tG`
zSvy(8&G7-tmzLpr8b07ki+UK<%nYaJ@BFrYDhN&bp3bRz_(0l$zxw)@U2v%WPkGWK
zVW{Ao3pu@g&X*tLgo!vdXn51_>gy*8Wh`ftro8xJ2W2f~`biE5qzY)*(iDd}76IR%
z&H`X!=cj9Mk_!@(ET4NyNy6ZA#!jP`f<Q>``Qdbj2lTo8)wK+zA*Q_gvXzq%h_;d}
zmzViqcp~6VRj4e`Ew7xQHWPuonA2pt1VMPR_V8okuslpg&d6PTA_{q*uAZcE7ls(B
zc-CJYN-&utYbJSE98TT3EOA>$6z(|dS!_g*z<}xUyIE&RsQQuS=-n#@u-{wfOpgj|
zjGnzk^h<+utD*44BncSf9=h^ZUJaBk2X@eR$-%}>y23?wDYz4H_GRXIbr|`6<hkn+
zC2&2CXK2l3pvSKKoz*rc{2GQ-#+6iH?CVLFFeN!iQOhtF$k2o>?KEop%WB~ACr2)r
zT>)&a>sA(T=QcYr=ghzznxM?yZ)ZHF2x&<>#bQ2dfnGw}?ukxq`0r^$Kt_@>Q1a}(
z@v%h<&a-;C7B}jFivckw6GMW9!}z7#Q42Dhzp}q?GX#dzu&zu=71+Bv#XsVq363=(
z@|F_-QM`Q8A&DxWEjV+xbXI*^f1Z~d4jY3_yYiJcUsa$@h9bvrRTVsDGpL>Jo51y&
z8(LA@^Mh-ls~(R?pdhs2GMixvQVUcpTnQ>LTFSWgcupQ}8hh-x=4l4iwD-O*a;rel
z-e##o$ECpL%SaaWlo_-~oXF>OB|+}HzxEn6BJe>bQ_5R>4|s3v+1%RhJ-21({Ik2c
z!FliJhkE>bpu|<_<)cvrxSvzBpFy4pG$eAeHG0gzsxoS<I!+EQnY9G*u`Us@oQyG-
zyv$%VFQPYRmkfmL%qP9;7$e_$ZQ_mJO~H@ezr!X>5+btBTkPCJiHoPyGWxVkA+X1$
zK4Mx7_<Q_@PTpfe`G+=sT`?xGBY)TY4>u85V$Ui6(#(oiFDJeZ?=^-z`keu}ivlpf
zb)tdh6bIhDAh~rx*%)B2w%Fn0Jg^WQ?fO!N3;8S0q`AcyL8<PQv`0HR;8}RNZR8<t
z?6bJ|*Lx0tcJe`unk)<az5DCt`X)C{Fj6U8bO1P4(`Ys`NC&qm#tVqUJeY95tp7|t
z0jDF5F1!T_;7uI17k1;p>QIfc=$D3I%2Ju}H*%Ty&%yoL39Ie(4<ZSQj|R}>6#0iL
zaD=GNDu^%?<-vbiy@^KC`ap4Zs-)q!3$ezmy!Y?~H(p=(%Kuta9~w53+qTSy$bEuY
zjO(wsQRac{<F9Ud@I6O^ciwA(tgmW#nm?2qFDg0osh8=3cf)V@g;RgXw^9Zg@7Zx9
zPirDo8JjMo@2?I@$k`+p_B*E*n{i{;iSrvrf_32M@K?TqTuO`~PP4|FbK{VF*8q%b
z!xG6|TSJ=$S+<<}4m)$>1yx=5UPo<6U>n)cxkrbYd5I|j3EU`3F1!2uhZfWfeRQp=
zV!+xfQ%$42+?W^=tajW@3$iLJPyP9{-M7n+Mri;Ku09{^C|=ft>|Y@rmam!7@coKa
zVHFSB_T=(BjMao$>)Q$Lu`K9xzh}eq7%xh%UH-@^rwP@58SdQjta!%H$IXU`4=X<M
zp4Vv6fZq72);VT2)aXcE-_y;9DIts>WWqE+;bKA`<8}|{HIDzj`GFtj)Ss*>s%t<)
zS;Vf%7Is{HY4dY;l>lCuj5bJKQitiN&$FM(IncY$Tc6Y|h{G@clr_9lhi)c=+O%v=
zY-?XKd&nS!3{;nywPVzwsKa89Kq?njY)$2-92UmUV>@ckxT*t#u|hvNi5nO4t+^8I
zMDSo&&6#xzb@&|m!W}bsP`=)$bBkRR_enqXkJeU)5Q%bYjuKux5OBv-zgrYl8-E}E
ztfmfeED^lkt$bKz<7I7-ErwikXK6z9)S;^N#Si&Se$;y^^r<9793`hMtxq3Phf$S(
zUS~A~u|sfr--fjW+O*y3h5&WAy#S%J7kA^$0GIIHDw3F#)a~&tTOEWrIBO^xg^>Pi
z>E{wwDNI}NPZ}6ghh10dPFk>w;JxDgG!t`DIRCXoVO~=M@~Z=LXg`XeIvuOz`37lZ
zIDYOzc!~x@zD?0kxG0LHt3zdRsWM3S;MbWBCQT4Zf1~9|62q((*?j7gvUqrGns+Wv
z6AVljPxDWRp;u>cq$Zmje*5;IEJ#!f+}aKV+h&NPSG3nhomX;L`1RI<qK{hezIrul
z^pFIazuc%_R+h(l){9bZLE3O+|Ffb!n-WOc;km;)K_2yE+g7^NbwK>F=;!Lkl9*L-
zQ0LMYdAz~X{Pyjp4hY-y`1@*0Assg_58t3X-rVJ0DF0O#8rvI3&8wxbvi?n2UY$HL
z4NnHwXX!y{N?^N{wlqGfeEh!RvOGTHahiM)tPkyPN3Le2N#n%Z7xbo-@_5<ACMny(
z0JMHgk3AZb#+KRL5}$14u-!j$j|H0{_!pVJ+vJu(&Rw*u7sF(+b)AsW_+ki`Ze;yO
zt0;r7pFA!#zaoS7Q`F1GAp|_WzSwtPN(NhBFmjh1mB#0H9!5FR1L%eGc<NBgU|v*j
zP&}Iydh;-`*6jf>x$@_iS*<kQO`kL^ESJC_!M;efivYdPnfvNJq;a^*K{)7;IL;X<
zTw6&85GIa`M=WjM_t_$a)2JxgbQqs)dIP}Izp2~fCWV7VSBX29MR1RC<*UgL05TeG
ziNzl!aYfLda$Hvk2MQ_Nhu;DG*y(fk7`r6?$DC*|{8#`d-)+53&j(2P`>piQw*Gj1
zg*pP%_^@8kvzv$qSYsUBrGHBtNfLH{Pp@;MkW-^Hrx!ryzf)R;<zi^YOnYd2ofH2D
z0096043~E_6@D1T?LDr&x%R#8weGd&OCqC;29hYGL=qK}kzbTuMnzUqM$tfo?wf{;
zNK2Gxk(t#%^7HR|-gCa^J?Hs8pXX`GYrGn13h-SM<|Mx=qQaPp<4Z#kG~&N7-^Bqi
z@}TKbB|#BGeE8D8-4?<#cSUs`T(ksJ*@e$mK*SF@QB$h>3FvCt=J8hA5=4r=RrF5C
zqwu+AmgHLks6jNX63erIJ40`{68+_HHcdu*ew7c;#y4mm;<Er9mvf=yIT@U!a56o+
z#f$Vdquc3m=CHl3Z8#@e8Yh=8I2I!hJ_%zf8JRVMj#9p^iOo{DP@G&ls=|XV<0Hiv
z_Lzag&Sd6#MM?a4_Fj_B8*bdr+>}=H(iC)V`YkRBO5lypv5rF>+_=Y(BE4v13J+h`
z%@|6F<M-POrHL!t=ycO6NT|sKnttA(SDTBWt-SoxH-0?mCmF1BPTK_R*i($PPl{sI
zwncfTRURz&7g8CmFovB&_m3aw7s1t#-Vn1#y!dD7dBtH>W5|9N82;K(1Vh^Mi(cR6
zLv_=Es>E_5=-jS5{Cq$dHzv$C3O?mWh2pB#{bVEHu5fL;5-*Im%nr_6TNS{hvX*SW
z+lCOldinMxOJUpuEGqF70<L}#nW!^21Y7fT`iht^o^p(3%lJ+}J^L({!X5+QYZnWX
zWEDn!j$*`mA<P}x_|)6q02aviJX|=0@%XQOAH}kTF?>+)n%SB@I7sdE6j2by5>bjm
zbG!(q{QT<pU$H(MsPFFo<|K?3-Dif`;zaTAzF11qMt#s{l{mR4Qy7!-|LpP45X0|v
zZ~hj{=|Qvq%cJ_E!dTH2Kj>X6j?L#ksFAPg!SCv(yQ;1t$YJ!DHTJUvhD)Z&UiQ`l
zSw%%t?icIt>BuZ^AxYuTtNzMRc|G{3ZV}tQR}_ur;t5U((zp`JN~Vs{LF9BGZsQii
zjgID<Ur)<miJ?UH{zf`5ONvC?d?bd7#mXi!hvZN}CEmU3JRL&b-HLm0P8{nc4&IYs
zQ9ze{GQ&K_>9EgA$)zz|0_9bmHa2b}qGjx8?sNbhYWr0#yB&~3N!<sgcXbu9E8fk?
z-j@zJUz3`T9g)I8rAOo55=t0<gtvh?kPd~6lE}dfX-s%C`o5b@8M($zAo~eAEaeV4
zvOkc){O**Jra#I^GEYA2SV#vi*F|RQHCarLPag=MQ^7BnN@hBG=<uZG{aA*pJlfv8
z5&UvW6%ATt1HuS;u>04=*0j3{*k&}@r}|wDU-OQ768-c*&3VI-hI2#={bVvs9Z|<D
zEndsKc0Cw8*vJTVR>XJzCB5VCBVo&wlC+<NKBP=@ZcGqTLP`JXAKM$qxW*g0`*piM
z9L?7&BfnL`z`%|g=2Q)wNKy|O_A>x=X|5sH0%iOeIX0SQPr-dQ<z+m=hH%$CSUGjK
z3RaZMq?4v7s6o*S-qB|W8m|Ig5ad)b>febikAtbGuBYWoDlq~X+T7jVSE~4u-!3fj
z2^C{pa-~gUj6tj8@ZIn@HLS(x&bC=99*L8Dn7h{mwuB8Ih>=xClc^2#vGMi&tk2#V
z&Ze-k$$iG-x;pk~kj-6hQc*3ev30=040vYO$SJZU?7gnPb>4`IO)bl(t0?B6rG4L~
zGm?ZjKAm?ije?)8R4)w^EWqnL{fR--`hKF58B3K0W^4}cupGC5%E?Im==UUyq!J<w
za>?kPeDT7AT1zP6XB5s2k+7||(T=o@gpb8OjC|4tSR`l5bTUYoGpheSZ)W|Dd@ZSa
z(E#3(8aqW2NEr8h`Sj%wRTLQ!2>R9lAkpAc_gIO9TV?y^)ZZ)Pgk;&-m@fcl{#@3s
zyQYrYAGKGlYjWL}dWvP4tl+b7Cx5)4I<h<4dgxXW@mMsKXP(ar4#hLnLVVTm{`aHx
zLgw-qTkrYh8jlrhX_av`FI2^9(GCM&CmED8C$>5*100s|ZD8(H!TsBmAHU3y#9Obg
zH&_h;?CrX}Fg2l!WuB@|xB11fs_dkZX#Kj+f2W3#)^+@sXk#SUD}sV^?@ab50vzwK
zO|6wu!myERU%B53VRxFG>4-hRG099CO<NJwZhd0aR3@Nhe3v3G55TY5L$}xLh?uqG
z!l8Eu_;FdMjioll5{y&bCg-2aW6^F2D_a6D9!h3@C9!M)x69njrRC%>vf$tkqAoWs
z7!FaB{Vm|P@|yR7g!O+OD8)F_#)*GgXyQX%=5R7pS>^Yt6kaf!u~=#1z@<2GT7|AT
zh|=fm1ac)Y_>kM7?|d9M!BhTG^MV;@4}@}U*d&3+GZizGZ?j|K<Eqc$tEN!*&&(xN
zQXIvomzC*-?5J<~{H#NODcsFWsB-5J!&gSf_)b4#$E`sjfjfFlV5zJbtA#{S-U4S*
zDIEBV7PV2z%mg}PCL;AsM36I6TA_=<fd|~?n3k)J!GXVDc5j?8VoYt?n>bF~lJ(lk
zQNb9bb`0r-jR@f{r`Yrjfn2yWu}jJ|&j@@sh%NlLO9*ocHeA1Qgd2yIzh2oWWCX8=
zQgm+36L2Z|XzQM09`u#>?cSAT2p>vAC0MQykbm#dkmgBVe4H{7(k@~Mc@LS(GY=4u
zcW!>Lcn3cUKMs6bUtj=!?{^!V*hIiadoxDSumJjQdiKMUWB@xYe0D6G6HwjGLi)f4
z0(O)(N{%<_LtXVg=AHHg%nhU(2B-<)+t|z9g)aJVq;WZuIf#I16$VsuDPhc6=+|tT
z(gQ8Q&La`U1k}xbdgQ#U2qv)&CH$A62jBA@zqpMP@PN#{ovON`$d_YS<z}D<(lxis
zJne)~^K?;Hm%A7)k9L(Ne5J!?mmkBvO+xs@$gL`H-M>@KVwhtt(Sdc!z-Z?>2Xmd{
z(ms5YKuas#)cf1l{om#F!sd0Jnxz(avRO$XS^jkW6Dc|zuWoR4PZmMtl)a%>8l|y>
zk3lsYr9oueh0n$IqWE_Y3~aNN#S9Ap!{%lhoUN+v^(2a6VRDaJ;)EP}*w%g$Dxd*l
z>C*Q`UU8i1;W+G2u7LksvtA0GronJbwbKNz1S&6Q6X?xElzKOsUKCA()r7iOp7k6e
z|7=%DN{u4kt(%{1j-i1Z`_4O3j_bO`JdS_WO4t~yk{y{wgYCX=RA<gg<D<_kJPCJ{
zQCY9+=3*5MOe@0!Rfc5n-u&0Ad8mRrDSc9212o|AIUmDsBZqYxWiFe)R>ir(ux|sB
zbQtsb$6C-TkE_qG@(fL=VgDAs)eAv%xW?+$r=mi{M{`crG-eWp`8^K2-b;tmPtTIs
z=ZI($H1xwtgp6s-CvGon(gVAc<4?sNE23SzAD^?V1|A!6bfNa^L2D}MU1@<5)-`jq
z42n}wSv!+j9jy=Nwi!8R9#uy7ahF@S{!(yrsLwBVx&b65DMooXtE}re<vD9R6}ek0
zuAXHw1dG+oVQw{5oT5m_6dlsUu8?Av?<0nw>|(=W`%4u=o7C1wQ=0g}RO*b|OCy-L
zC?Dt2qK4h2T=XO(EtJlovUc_vLzcpszlss+*!Q}gY_nMlc}|vS2ER9fXxE_P(^4d?
zEED&WR@K6HLltAu6Q*$Z1>uin1qoT2Ke!%j(Zr5(i!4z~X22LOAzR3j(dF&s4b4KD
zm~oSjvWvw6zG@wB=?o*|yU623d}>tW@(Lim`ey<0`<1L7my=Odl5kIGRRa^r6H=GI
zujgK-#mN`-Wc>B_`ILGg8UG78dtz=Ez`~W9Z)Z!$m|D=TCoV|BSkVBP-gPb<{gD@V
zDS(X1Z<71Zd8?sQ@BxP(YXI-Y9lo`*lQH>nfM#xv3f3LT<6<+kf<ir!y}wS8@PYi5
zGX<!Gc5Wwc9`mvS*MS9lj`bW66s;LCFik`;4z;p?5G#1+(YE6@Q5}!?UQi-9%Omsg
z4A1QKd9<-x`*wRZbQsG0SUn?+vkQ-J*n3-n!hS!Umffn@T>64ds8a%E*J_OoEUbWI
z6QAdY02Q2nHGS;LlqiOOtq8RdwgUIZH&@F2l<}hK(4R7IVT^kzQy%pmU~;rVv2T|W
zs?U3`W)KOOINjj!wgBMHGoOQv+ZEBOz@W$AARpfJTsvg39l$4fif-XX#D?)wu4j7O
zxS1lhxStz9OgrdWWVJjhs!zl#=W<};eed3z;g&F8QPa8nL>7M&!G0y44ddE$zZdsf
zz;kPx#S?#|@s#(^>exvZw1X6fc9I3errO^Lw3Wj47~RVo+nLd8d6Vz^cykc%|0_km
zBY_Rn24*f!W^{Hh;W8R9gXzFZ%_wtmTzpXUK)Hwsca<;MPSVWaFKfw=)VL^aydCu4
z?|3HsS}4f+D8m$9Q2tBwtQSGCO6e7;awfbnXz|5!+62mZGVIq%h4IAwBNGwK%(zr%
z(4gdO0@Q-Hp<y*bc<^iWNyiLkEXj?c9jP;hfo7KOo&f>|_er<vZe+pn?Q7i0a>l?~
zR!3uB=c|`=jL9;Q6(0)xI+B%Q1ZO)>hIR-EV#^kjH-&O+xS%QMd3VJSs+6|f_YoDq
zp%DL5L?d?G>Gv#5Aj}Yc&pULwI`X4rl(p{BLma5&)fCb?VF05)&xsq?@!@jNQIow4
zPPC(##=PHe0Mhxy&##^MP~3P30yVg?SL&zp=}CPMyA5IzB7EqzR?b>p%Yz;H5nY2v
z^x?CdO|>RFAD-!+aBX+yL$|j6qfBdhAk&^~dRCDSmyX^Po#Pe2fUi1z#4J5{PPr-i
zX&)cfn8g`XeG^3g+pn&LsOf>NXVez`*L>(bc{C~T2LV5ZYj`TQ(P1HxPq}wLKTfu!
z1mIsGeBUr)8}CPlLxxYgEL8+>?{5hM-gWMH^^DmK^3WkjJBoWZhamRQupw!SD3(~i
zu}^EHfurya{ZdW>UVO2oJ0@2QZCv>USVCwJ!QZA<y3Q|o+2BOud2#GpZslqu(O^vK
zVOxZw5bkyFXkgkWiQ9VOz09X{*L%}l(<okHwA@tjnt5IdJ!<7Y={M?v|G#p&{D?44
zi2u;FzaWENmuHQ3rR%~Gb+6vx4iUVr$+M+qhaBenXx~c=)&;LZ`ID9%qNp6L=>I@R
z0Zlk7Me=v(f{(X=X7fiejMJ{(+IOCaSK@6-E1Y!U#g~!VHXaG=x03IQ&sW6CX^E$=
zopoXF?XJnH&622~emr`*MhOi|61V&8(FKphmAs<sQh3pSyMlJFGCs4?-gf1bF7V2V
zYNtuc;I?gFzYQ&^Aa|w3dA@pGIQ`sViBKYodrrGP{X<nl>tV|f>1AEGwhdQ&*K=pI
z;^eu`0Ckkw)&A3AD-DPbePpRW6mV+Nht^v{!hzDnYC;<ga<MG}2Z%_#w(MUpKt?~C
z_kyi<bSP)~#n%5w5!J&5)H``7IJxjIZr?XL%;^33B~+(`so8tj7d5GPwrO7DS%Dt#
zKRJ{}tx(2EOPd4rrka?g>|H2(P#@I&Z;I|LRKfe*$1ikHw2<+hW6PqO0X&&_(_xvV
zieb-w@WM|m^yi@W@wgd6d2V*^&loi<vDn}9B10P+#h2UV_ZdOIQGAn-k2=o$X&rU_
zp^byl?Sd~;jbZpHOJ|EN38z?gF{^RvpfPPz@5Kiu5HPzjy#EIY{SUl&bnUA)20rq0
ze(=W>PW8+l)5sy?eAdME-67g&{$ykEX}USI3rKFgDy4xRJ@lP)u4&<7T1wP`KnqAv
zo-8Xqp@G~Z+(pDJO`K!pZi-H`1a++?Va)~&{Qk}jI<%>ne(6o^!OiP=-Y>u1^Qi`Y
zv60%cJzWDGbBz5iJOOxFRd*(6z0X`L^yyWpBcZf#%-vFo6+G;YF=5-QfjZGYm1XXz
z;qG+t9O_9c*mKiV-)x4AO%IQ|Rp+T7sdIM%Hd;Y>lH5qTD;e`LJ`Q7;5@x$avVRz|
z0`ud|kqwz7<nVbMRk`ld7v9fYpPaISyN&U-CvK{vT2jUP4H>d{`1{#G>e%|+;pd9)
zEj2VtBY%Z@NzD5ccs8NO3dX|K?RFKZqE)G9@+*oM`bzlao0eO_1D!1qi6>PsHR=@G
zmsKGwzn*tzY@Jg(+<70hZ&k)^HqBMjege3nchXsI{Vo;3Xt8EBB@F*;hqtr2kx_S+
z<}nQL5SN4fSBO}()q?4B5<A*Nr;dI|1K2h{V{dmu0nt$egXt{D{6YgN^Z_iI{>!sH
zDu=$z9m+xCYYe6F$9*pvEFmdv`?nkJGRV2lqat`^nc)#^R=&K>{mfHOam`%{SFPe*
z9?t(}I2HSy`@7Ks>N>qT<Dw)m^M2+H=YgLL&h}aU)9L0Q4O#D<9*E&xhxap?>5B}9
z#fMIB-<rV}Te*k~_4OVxNfA3gyTItz3f(lQWCmx8wwe~!3!{1_lSlsO0>gKU&0+l`
zrf|hD+?29k2w&8S{R?tmWUPK-A-F#=0YmF2HU}&SnA-8=rmNOZhLBRFRI;oIBzb!Y
zyB-q2ErtPWJUf3eUVO0JI(OU{_|DD!{ZYz?Por6OrFQ>j^zNTktm!ubtH-}TMT_#{
z$HSpjjnPXCO7Stf4pSrW>6aSHY2!v-!3iU|T`P=@K1)AruNs2y=JR(3E4WbHuDbhD
z&?>{R?BqdpAwy_&-zWI*5hwn5%h@h{WsNaz`ReO|QwBiFb8H(VaN=0V@%>~bW@MB$
zcnSQ`2gcu$?xZvh^ym7bYhlfT{W6<nB-S}{LgN{6w;l&7n5yhPcYzhBS|SI}&gy}x
z-&7wD2L}e8nw4H+V#hM(@XEvCdT_Cs%|B(09S=%Hy=jl*K$VT(+6R~E;KuUom5u@j
z=BW%wHH&fK-X`0~p(Hx|?rD2l>BoWh&ptPte$0&#BcUTX5_EX<vaID#7Y7FW$Iv=5
zc`;7DmsRy94JsBhY>vBgVw;j@1XC10K8n%)bl;8!!o#a&uh_Y;Dl@JwAyE+PK5uGC
zAJc`=hmPO*`?=7%QrysJo#&bzg#3{-U5FjDcoxycji=uB$Yrnz09in$zvI5E^*>pS
z)_s`YZLIVQ4>B3CRi4-=f)DQU-*q3?f%{H(B99XJ5akC;pA?E>dUlKJ=29K7yyq+<
zl*o^o%<Refg5oG2DzG=mR|j4?#@^}U6U6Qfzbmr}B#>o5%-B&~2fiFSwov9nz$Y2D
zEonAVIM4m9(Q#TEa(u=POKcHBkJJ`{hrBXqoU%zXzepQ|n?}8Exd|h&wXHIHUKZ8J
zoAd(xwLv~OYTECR2)4brzD03a9-A9ZihTraD0RvTP`e_Eod0FiW}YJ=Yx1={M-8-r
zQ))P4ct#A{-Ai5HHz=ZV9EoYcP8(u6^h0)Sm%t>-*}qj&N~pm(x)>6v4H6MKY36Sw
zk$uHU(t@UfwiC?7PF>n?uE#U*Q<yY*zK;qpOH#$zowvs2m2@DxsAazcNfz_?kMo`%
zRl~}?3xT=eI?(9PXTY>1hh&uvnwwlmc<=k@3&9UM5X|&WYwEKCDriHC7lVvO^TXG&
zy>%g%*4!pJPedob!mwN|3f`igjN)78T^Bp&D$}YWo_TS`Gw=cxQ<kWW<hwL@(I1y<
zL{P>f5v+1==QJ^MqwPOh3LSI{M7veUD%k!pf&G}CHeL&|`S~(V4{nXyOorR2BJ=0U
zi`E)C*tk>0b1+*Ul9SKR6Lza%4W;Omc$p5;QhILxdu#x8S}xPXFm?QV@7s9PKOMYB
zv3s9SFoG<NkJJ2-B>asfLNo(iRF;#WMjtT-mbMcyWx-^$SAC}*VWW$cfz4Z+zM8;n
z+Feh}O&Z8PV$~X`qKi!9m$^E8%plwFd8Py#1r?&!0`I)k!E>M7T?z-yK`7_XeD);@
zzGHTPmCZV+ZOHXZ(9sgMB<#9c&qBo<;mWV2TG}{y*!6?)Rshy}dFhEJRMZex`qkvG
ziTU?`hm+<2<e4Z-q2^SqXMV8xx&sBzy1o*=7;ObN-rMb{;-+Hjy)^;-ITAkUQf1Uk
zT0x%D>M7S^3Z5?z`{EI-hAKBREgxE0!*N)=AIn5RLSR^2QJ*p@`9Ic;KVc2bH87;6
ztASZ;2Q$MA6j9KXule6aYakMjkG(M<qrBr}0I#<krqDjtW*1n)zQZx^HcOK5uXuu-
zYOW+Mzyjm)X=~{34@(dmQp3nfuSy<mQPdlGbV+-sHT0Mp=dq=$qW`>dpRXAKdGu+9
zPi3uPiiPXpJ8cz=Rg(Eplg^Ecra5otURZ(5EZy}(w-U0Ehfb<rVMVeVPloLJy)G1a
zhq53={P*F&5|i&LL*@55BX1ciNPJecG%P^GWNL`HpzBY@Z-*1z-uD1fKW}=KA0vkb
zoFCNo4^1;Xb~s;hbpc?Tirwq6B#paspLnE+d}Zi-FERMhYY9DTowxHZN#f42*cpLG
z1B_SMR#)uTEWk1+bYk-!aXfE7o;#A)%lIJ8{H<Ka0<PLcst&n{;?j$?3^&3f#_Xrs
zfIR``U{rGPba1FJ7IJ<{^R{hb43K5$enn<r_wstX$UOpHIXTv6u(^Q|wf#q;(Faqg
z`Nus&aT7qntZp7&y=I1RM!{#Qf+@_35&cPLc=1rU>czt<j~Mron_ImDO<-5lw`UQ2
z+^A%$>#8i=#Ry{=E9zM9JK=2h>Rp2zm>p`7b9?_whA$drdvO}W?iT-=<QX<>K2~<o
z=XXD2)&Eq;!fqpo+-ubJ!I~Ad@;1Aaa(!g{-nAp;VDoz4(Pg^u_a!sdbINJmG5^dc
z_~~48S=JEFm&ME&<ujqmQ)_$G%ikCdl+`%jbskMgT$eQ@tub0+{TB$5<BXOo!W`LC
z`p^oa96usg8N03(bK2gVVvuOtPl$NwL*)Gs`w98K3<aS#=k+yb8TtMv>K{MXgQ-jG
zJLn=S3`YyYK}*6sL%`voW4etVWJlT6=Q%GkV%WCQO_&!MLRaQ5yEEu8?WHSst!Ig`
zrvLHkL6%<(!q<sTAqzV23rOF%m%7CGl#yQgO#BaHu=&{in@EHA!FnN|Pc1Px|Ja2N
zSS>RuyDup!u5(AEAWMAd))J$XpFq2w{Fm{fn6)~fPZvV`@*gIOEHix1*p$~y{bOA6
z$)rd5=)$UtzClyPGJ_i3(mQ#d37N^Ys=McOAiidkd1UAcqwf{f&PbF6A1rzOl1bKq
z%nW5$tH8euztaKP;-^{B>#%n_gQx=&!!O5lvQ`-bfgI1W3GArlQMvDaj5bi@j>arc
z{9}AP&`~wl#DU_0SI)_!7N`zR(~p=jp+|gFUB!P~*pQldbb(h3KH1%|{w&9gmH)9D
z2SxDUd+W%89A8baE}VG!PnrdH{i=6RO6S9?r!R^feLw{nkJVTUeO7d7oE!Y}QUJM^
zHzz8qQDLLb=Bv97v0+R~Gm^^JIXh_5x#c1SRuk_2b$`Z=BcXE_zOD#i?`&;;mly?<
z)1O=q+sKLeGO-bohehz?)SI{Y#TuYS<M*I^=fds8Hi|Wy7z$i@FgI(U0e85sXW884
z!3@VMLDToekt7?r!(xaGq;coH4V8STr*$s1B2N+xxIKrAa>y{6TmSDyj{xd!zjbBt
z(mJm~2W>{Z$siRHqQ*E+z@i^H{@U%b=yo^s%yly|+`N3$r01OwcH3;QJ4#f*zt36Q
zZRlk9&61K~Wh#OM+U1p&S45-?YG^OnkU`P6cC@Ei6zx-<##U)5p;z*VaO_bsu<!i!
zT6mW@9=~&#L@ZUtUmN23L^{Z@g8Pl4<s|WVLE`2z4OM)!J*OtgMgz8_@|vkKOXDjJ
zle!-rYM3b3HA$V;fHLvfnl?^Zl-}QL+!8}Vqd)1ngU={H`jt?<S63dBkI1APv(&(C
z`9VjX4pG5X{J~VQ1reRS+U9@rQL(U~Ic+CR3lu#viWw1#xHsLS$nc{kY8gvNO>}F6
z_2J2Z@Fpc}7CUx_xk?)^vHdhC8_<C|hr|!|JSy0*QXJrOM+f!o#D0qZ)P;!u&II@Q
zsiNlm-5JezUDVIqx5wUu4mYTk+oK+;p=I5@K)L}9d5j}kcUS7c%!ResqjDr<8olIh
z+C{@<*56~*U;xuX3bXZx$;f*~J}+9Ij->&6PMG~Q1O;<%-QRaK(4aQ2iE@yR-vkWb
z1-~(d>(r0-i-Qz&yEN^v*N={}?%5u<+f2dRv@r=kQqh(0E|F7$jt@+3g<rd84mL);
zl@4{9c;QKs$=3uLZfG*Pkx*_4r8d8m+1#{H;5A=pdYLXxy&Sas-3kyi6n3hpRtxX%
zRy1Rd*Fm0Tz8bY$D+uzOrgS{j!f;K6j5JFvJl|S==%R}?bX0aGyw29bO?hK4zsXZ@
z;IUTJk8x{|%s%x>L43X6+TNIfR&{*f%$M?P*9KT3X1Q3nXyQY|In6I-D(F1Ux?Se_
z25|XWY0zayMTdsHa{~+_R_safcI?;y{{sL3|Njh^cR1E>6vl0`x7XhDHDB9{?=dT@
zWQ+KvL_>&Z8Y#1+A%v)iND(2`_sQOyO39X4$j<or_qopXT<3buxu5&~Ovf0u{iPwI
zi%$*ierpmyB2tSY({(0LB%S2eoFtFRyiT4<isMEe>9_4QvrXXjGv;4cH)K&E>pO*_
zRu<%3|MzdCrwR0}ze<eXFM~o|8Be=UQX|iRt9HrzOrX)~3=MCz6cXL!`oQ#S6+g}2
zDJJmL7*u^KwGLHFpmyCfGxEm~eDr~GiH?df{J0_3DNH4f!aLsP=2g{T90$9b+{=vM
zz;Tn9&c`B%!fY{tuVNCDGhY26q+<l40XL(Vodi)wP9YPQ&=OYTFn?bCJwRwBZ*+zs
z0XetnFs3rBVc!ckx-$#_PT7w#TyW+=)+wQHm;yGjaF^E`r=u|t5AOBh%i}~ElS^6w
zPqr{F=d<^pry0V&`n*S+D(omO^RpP%zm0jYkdO4189>LHlSJwO6ME9U<KuH^2fKGL
z?Yhf1eVFmHAMCECN7vRYZkg!sU|VMLOX{@xAXYKOrp-x%;tt?{H|n;r!R))7vbtnQ
zD=HN0t)@VINgV9vtlQZ8Y1iDIAU$x666t#V_#ZBOkeKA4x`hq>^`dVs*M+!h3ag(^
ztM~_J+25r`|FBe#qC?4)x*(ZKmm*%Uh`(zOsv_BKV#^bjI}Nrv@Ku3+{wMP+-k+J|
zR~)c`xkr9-UVWhrStpIfwBC*3IcDWMqq*yt4R3KmHMKT8TFy)|KRbYLno-iuZ>(Vg
z=5L+9p3nm8)t9M!jcqu$c*Nw&`88}=y{&D&SraI3vy>!9m*6~Z8`<g1YnbHl*xhPP
zO_)@eP0ST9!DjTbJlwliF|QyrB9fy4&I#cps`w`C`mN{e6V<Dji1qA)Zh{6Zux5{j
z==WleMaaI6L#r6;hgreWyXx?$HJ8B1@g2JuwB#8nw}yFCx)nTOR)@lOqLwqo!<g=D
znl|r~HLShN>ej^s5*U=R23hBiVN!TV6Ea!H{<A+9Ai_?9GP|XsgI6c9pZ0!@hxs<J
z;fz-6h(~IGxZevM)t<&01j+hs0-M+^{qS!I5^8YtMCK6P<SaH7@bPl&p?}!cDaQw-
zVpaG<En81@|2O6-+VNPkd<)Am`CWg?L=_Ax`013NFJNyBSB>WEcCcLjbVth)75JIQ
zcD9{<33C%5YKn4GfE5F^U(dKQL`KAkt%v@_bgnZ_X9`ln)9E(0vm(miW+!k$Vrv<*
zkxf@NF{T2FCH6T<4<*q0*Pr$7;VQOKHFZKVjv9u*Ii2T)B1|3@5)`vo$IKK%&OTqE
z0jflsAm3FY6xYU%4+w8!vMXOMU5%!LM-vP0ovewlKQ*2wl4lEZNfAqaXUqVRh3DOf
zg$m&BA#OFOxr22jujiI2Fv5tVh@2Uh0$jNjT(W9J0f$#?KWdpUL+^3LV$mD&P|x>B
z;c6r$Y*%<6JaU&6&Qz+;*=@<eO0~__!67OL-QCw`5YG;YU1hnMVRFzb8dm3Ylm`Cc
zo=Vs}2W(xXU7uu;1MLs4#cdn3P+1x{QsvJD;|W@=W_hv@Zaytf|A`(d42KoH2|V!Z
zM@$~;VOelw@L#@Punz`n&TBFK;suA7%QfHVWZ`GkX$9?iCWtf3RK7JtfV{}X8;R{Q
zVBa5bWQ>CqQX4CpUeO4`TJ2HS;Cva#w0>^ua*!Q9?o@f`xd=m>@1+rPnha2w3kaUe
z<p4borSzvmqL9*~G{W*+1_T2%Z7e0Ypo^YTV%16<o(@K3JZYAJ0g0?NdYl{VoLhv;
zYb9Xqj^A+uPFZmJB_ES|ofm3+)!e{I3b;8A<bMg11vC4$@=wS2`YTQ_XQq(>reO<T
zMt(U6&}CNpaaI6=U3jnMG|7UHVX3gtxE$nJzP;L+Aq0{ii=EtZ<YCtIUF)A;@?fHQ
zzy8CD2rNB8i3|6L@Z-DE(io8lm6$&ot`q~)sP%Vh2}<A`{;DmxToGte<xhQKlmOGN
zr#9&^D!{H|bUXT<G7K@E;pjUf2{&J%$?Km~q4tmFVBLSJkg1(|Ve*?4m^^;e{^-@7
z9zxn^_T{O;j4Dm$$YB}K>^t7D8$$x@!alhaVRdlK66Gbg$U=NNC4aHGI+*-nj5n&*
zfO78byeT7jpa>i?i~g<-UIC|FF5TAxcc0TDZhL!|AUR#zLDqm6tI>|n@j7t#sI_!9
zg(8fbcj`;KX@EJ^-5Z)u^?*yBojG4!37jH>))Gk?aPMKzlvA@l?7!X3*`liq!Bfo^
zJ>}{kCz+aJyKD%jw6*F(=~aL+qj9xziUgmZo;4b{1yJID#8mK}3Q(R=E){Q318%LH
zM(+qCFzU^^MAfANDI$V~5w5DR+u1ju?r98cqFEVcpH$!&b5DZzo({_xhM0#1OyEk!
zgp<FM3dop;c22*RhbQGhJ#qym@b%d={v$&fxN_*D&$UZ~m{iT!Z5C57D7iBIB3TKl
zfB1y)kBh_W-OKDrMy7DmcRbg~LJ@vwa#%$w3js6!iV%Cy6i(gA=PsyG0M`SEz{}19
z>8quEd<v%UCYgIMicKDlOk~P<>axITF@E1u(<a~~kX67*mW2}Q^Mg9$l+fmBH{g87
z1o{KzxE$=Hp`iHQl`laHSm24l-9}Lp7^=yqustCOdx9BWN=e6}>wP7tpBn>aoc|;-
zR2(i#1dXKqoWeCSZSVVv8N&n7-t({2L?LM4h~mQ4Rs8KY8kNJTMsR^s>5pWJAiSmA
zPRQci!F8wWGPXI4;B&WeSdB6PuAM0R)!9ginv-8l)+GS2@;67{+TsS~;@Fk&LTXgr
z6+s{|0i>As5bw}(f+Q0$>HIJaA~zQN=Ol!IPyXjGnvYn4?cp=QU-7i4GquRZQqd4t
zv+Nl5W$Xh%+hb^|lNLSI$6kb)8vtc)v)d7VS~wJ~d_bj@7DfK89IrpE4{F68t54`C
zp;0aDN7O@Fv`^C#FHRvtR6~W(Qq?AQ-_S(M3~13bY2#T@haMQsIns41FJoDw|E3nd
z)1bdmy^f-6dXWEGaq3zA9JcJ8$=w)4gADwSZ+biG!W}bf8w%Y~jC_povo$vj>eV=V
zb?Lbd*ty&<@9pZsLbqK;yFOE+!!O=&7;I{Te@()E@}GN{(Mk`?U?ep<YH7mS?Vt^>
zxT$k3&bQzrY*z2@9i>La?~1vt%e7$mpbmY6=y$w=<>n0aA!>v#e?8<Pq6HTj3u5K6
z$MC6=e@}uusL_&mm-?GHO<3HC@f%Z^#&ab-o<F=pjTBS72!t&SV0G2}*JAb?@5}z7
zTRKRMsz+Eyjt6Rh0PPm?iCV<tRBsYTtZ5KSqDR-+d3E5J{IDHY`xifcP2d6h-du#u
zbTS3csYAKaOD@Lw6})n`AXa_vJx8}+*SIf|Kq6q!dxCBq&-CznYvo6Wa*nQxD_kZ)
z#py}^V1Z4Xjea>d{470kn-d=iqu={K*xS8ssBGbprF1nCNeoDQxh%~)RSiz76_t8g
z@8BEs69jy49}*OEZ~U#I21^x_v|$DmsMLtJQ{0{jr5L{pA+@MN9Y;@ExCbQ?JzQ<&
zw#tl}-_)Bro>2v1>&=n5L@LBH^pM<G&x(3tdotqKRbiW8!93GNjZzmnFq#wWh*2vk
zU*Mt&Xh`i?Jd~qFP4qWrZd~U;y4rnoPW^j+jgC4nKB7ZIUvTfsrJU#>`Rd(hV`cbp
zj_$Ru7z64*KVX?b&yA)p@z*9*DZ!<dso=qeeJJHd@!0!IJjga?!adel2_nmK&!yjG
zLN{BO8A_P>5KY%NiSn<Cz%{BqHFJ#xE!;oY;$2NZ;i)BoSz(HxXvfCJf1eGVO-kT=
zn=XKU_f6hm(^Z7PX1%pf)9grQypQilh7jV6=sYV#uLybStp?iSoG8)yMM_<r2$I>(
zYtWn{f?-HX=c52FltK)AmKraHaAWf|`B@@xJeJ}O_`!`%^WV5A)Fh6SuMM;-@7+Vu
z`8rG8ix&xqzv^`rltjvxea`<fQG^5QLbJm31eEyou4hez6bjIqjPcG<1esT%jZ#hg
zDEZK8h~PhIH0S?&LqSyu9A*_N`tk*lII-yOp_{U(KKY>__p}mFUGzIg$`?kNcbXD0
zVR;mOJi^(cPZ^xOrbKSmi=qyO&4Tbx3TSTpCKF*(1w{D&4e(NkqnlYD%B8&&5zmV|
z0!~G$@Xl}eM5(+4I_LIZ|4nLTloffxb}C#AR*KBb_Z^c&&wH7eIFnV-THHF-+lwS9
z5m&`E(xlL*&`<K&(W;1nQqFE=FK1TgI{KU$kVXS<o38h&s-eS7O|s)18le4v`M*(q
zS@f7IOI8F|Lu3azE*p{-RIhJ+sy`x!4r+hg4pbl^xjQ3?24&jtgK@%U|8;pJaxe3F
z@o5q&T$ze~VW$g^T)02Hd!T^y$KwLYp(HeQ{D+G+9T{W-Z&S3~CL*I5hn^xU5^9zy
z9I&j>hZEhFs#~6lXtwf5Tk)70a;1v3)DAO*8ZQxb3OXh9=jNnNF<A{=-Z6Xb%?rRl
zykLAZSP7j?2{{<(sEQ(^_J@cJ0R)ME=UvNFLR`Ltx)*`UNZv5tiu1k^aL?G0iqe&k
z^pj@|Rs%$&S$<~RUC|g;=V>j=ZIqCCYFV1}KRKjx{E9_jt}*c5jmjLt6%n(j1#Y|`
zjbiiOH(lN_h7-4)`eXkRk?wJwO2&Q(<h2tRouF<4SueET`TtQs;Wnv!5s9LR{b((B
znz;$&%G&2>Rmmfv8PTur-}58>)rCq`Jrf}PimUGSkVA!8y+=6gxlx_@#sxM`6F6*~
zH}q#x1}#qfd}=(;ifSob8w<OQ;q@;y9$QywbQ(MDeCY%odga<dfx?a9X;5;QWsM}_
z?Vuq{tL@+)xlE1??)jJAOyH+u3KGcv*W?U4;}RZ{@(5QdH-c+EO0WMUiy`Z1scW?^
z!+80rqBAD@jlicVJAc2(9&c*z*w&h+;@TRaFBy6PEUSmOi&X^C@sO>oQI&oySMIl1
zwFkgeQx;keUjn*EeE#`V=N^BAub<HWib1lR(nq^a9^~jgMcNvk#)`RxOOp5U$<yqW
zibtookmB~wm-aRD*gy5co8r8N@O_^5dW<RuGRg^y51jae^&97Nv>F(|@^JdaLyoK{
z)TGgN*KPp|5$ih4epVl@e%onjDP%+!nR7+|DlcIB9h66SvdIu_lliCFlODYeNzVRa
z^#{vV+l_1cp$BZzC2gnA(V!c-$1j={&12Kkmzd~8^*}@=Y=fqa5)FT!%X#x=7V|z=
zD}LpaE^s`39lE=;gE#NHz0GuKkCWKB{|%MtK*q(IS>bP+`0wMF-wR3o!bmwmtdsk6
z;4yK|vJG3q&rCsJeZx3b6JX?M<fRRtX6m%71(xyVmv6dtf<`ghzn@>e{Hz7c4>GT5
z9$Um;XwxwN(-_8D947jQrL=(V<peFy&O9#shkPJU@&_hFA`IjuXu|p-*83e3)A+Jx
zJd>p8SM1Q&fR}CS8j#~6G#cYMi8IUFK6Lx97wb<lEEe_E0NsB*P6KXZ_?vn6oDZ{|
z*vgAHazTUYa79)>n6_mYZ=O@Aq`cgMjTO3Gc<!JM8(Dto?Ye{b%cgX%*=Kdwd>#MQ
z+g&6W);s#NIsO~I`1ZRUw-v(ptahZ?Y)SCl-{W9Ga6i7~%0I%^@eb?x@v4KVR}CDp
zYulT~dhl5mi=oE60!-M>W9F2r8mOcX`LEP=;a2ui3EJdjOqbW|*}idAkX89h(r4_%
z*EJe<O23EWjGJPaU;R}<f3v0A*SZbAe&9v~Z_HEN<AwHzj})qarhSe-5^2G$cGVFN
z%^SRxvTxK(Rt2^y!qg>$oABL&`nY{T@9<~k!N!wEl%Yz<a#z%-5$AjP_d#O82R!Ue
z27^YF5~QnQpRnKtyfve<vfA@Ap2#dO$55pR?qQV|;^-Q1f1B$X^xn02qj%Y={u&W}
z8-Cyyo~y?nyyq8i@o&JhUEcE)=@7y1^5IJhA`Q47Wr(UtTr-|4wEdq>m;!{HcFKH_
z+JN7GklU{EsSS6NCr?#2%fsU6$r~q~8*yH8rLA#%C!Qn(KRE>D!CyopHs84kpSLGp
z8Mf)h?X)MKi22LGqcssrQff1v*gU^uqtc5%Zu|VYVULrpZCpG#$=`}c1=ht9Nd0(t
zQb5(TtSq#$MKx7_Z^L7%@BO5A|B7E)seX1kP6nj@6E|xg?!cExjct1G2Jj12EU_w!
z(qQo4_!<Lm7yi`ulCGBNAkM_(@k7K-8WI+`L|Qz%@!u1_o^R6)<M^7{MX?qsFqkSc
zAocX%1GbVBiMK~^c3t~YVM8f+Nw?`}?%#)h;q!R&TXzgMAQxv+mPtZg?ytH><S%%)
zR#JH;`ve|p8p2npA_;n}^d9EA-|*^$N6(UYf8nWKJ3Q(|5-=kGd5nJF@m`O)R$bd^
z{4DXqf~Tqkh`g%QF&Y}gYl0&eQtM}N@w(j#t#{%;5UrKFdT<yQ<&Zh#bnQ2u{XV&{
z027C|M{>q?8%FS7x^%errv?0TtaJ7IRx#+`ih8x}H->*R)n~lty@a2g!JWL^#XzcP
zr@P8{0{8oRQ}r!*8Q;;cV6`6;1)X-WVTuF4aP5q-+;-zt+#s{xL!C<$TtBu<ibYN1
zy-UGO!4d2Dq_1LVtc3^|UKF-r-k!xjVy|WTw>NRC<k!b<#|ncYkpes`f8%lV(c4X*
zw(%;h9D{^TA(%N6;-x>lfEQ@-EH0m<Kwebl8}p(<;MvAtZ+v?R_kEyJ+QCbO4jlcg
zL=F{%!ibS;);`NPo5n|r^i^sku|LgRYCr(AjNQq;7gupbQOa-E80pXni*}nha{*|r
z5EWJWxQ@5q<UcFy%z&J2Ju6~A@xwxu-)@ufKb#57q~A_3qRSbo@zEyyP^5bGBp>Sz
zp5M32!}^{Dg@x!}Hu^$<UgN)EhwoD$@;%B)D?fIW(24>_t`H!bEK}oRL4`c-AK-YS
zz=_JszF6^S5J1emO|Vpz27UU;^(K;+8?E<vIufY~(0;3a$kCDxHL}R9xNGsElVv|I
zYs~Y(rsld&?h^*|5EESBNhBb`m}0%+8Xrj9pyIfo&V<O3PJPd%1(6fTjwr|yfcWqv
z_LrFz9bRy_%D5|x-rvz1OpYP|cjh&fqp9p@_ixk;%Uv;4!`991L*R#jiLSYN2Trt`
zCm51xF0q%FwSW7}^8;V~8AT0jFTY+q=D#Z?g?OmZ`)lliF!I?ASX_8fke<|lm7)v^
zd?J2z`mPXcm3gN{=Ms<s%lYDTH#rnnnukY+i-57%XW6p~f+)O}D=My30R=o@>s!4f
z212DFlP#0NNa2V_;B!?aBy>fiTA5M;#L31MHhyC0R<*ieMY9TuCuDY)k4l22_WEKv
ztpw7@*&K<`S3`ej&T>jC%0Mc`=a=K<k|>}%SNCNy38k<^5`<>u;0>XMWE3fl$^-AR
z^3ABD+xdhsEk#9GNxki}=pl<}l=*LRC}^URTXc_3Zm59IZSkEy2jvkO`%Y>%*Fyg}
zE}a@9l0e09C?Hjfh(bQJu9qljqn|#$$D*EUK$s>Fg87xu5%<4^ip|=H_xOUvL04_a
zq4v=?7*j^M=bJdm^g2kS=&j);b3Mp-Iqo81q>3KA7w`PorH$w&J6WXd3}9tG#65pe
z6_s4SMe8D{jbhqw3*?djsvqr3xPD0u#rj)XMh<GC536E7<%*18u}E#PtV0b2`yW=I
z71BVq>=6}#j3&_CDRWPDUJX4_T-#NjR71sSXJ&6}nZjUe4avDpZEqg4sfP=dQH*Kw
znJZFeFcF&ZR`k3Yx>)ReXjD)h;lAak<yy?(?8BQY6TPbFG>4L>m$xL6V|&bYU)CHh
zZVf4U)2Jd<)(V%tJV7LN=n~$mZw}~cq(2k0GNK6P(tTjgfj%pD>4|WeL)^rf)`kWm
zqDydX+4#4M?>tETxKm~Z=OWXNy|9%>6gN~J>!e=9S17w<FObY2h`ev)>n9l`NHw=;
zcw`gPjb9_GJv4>(4X?p02`ThkQ2XX$DLpvXKa4*!Z35%K8gb^fIP$Z(WJ%S_1~R|q
ze<|yjKt+jecojheC1keoj?Z#Jk`1cVj4_7z{p&VqNB9x>l*#lwGY<%QY{>KcGy=)P
zZ>6^TxKZ}ygP8gyURbL$b5GGXf`dY`I|2plC?(=#m#7OLSQ5Qyi8%nQ*)um23-+Pb
zFZmT)9ejKBhno!v0Df#iQ}u;Zh=PfS@A^MJa5D|yGbUni2h>jWyj;imNSBkA|MJ0P
zZ<Fj5T|=mfZ8cK~p25E}HCOky@<IJQQGrYs12~{ghSA3j_!VaX*7FbffM1eAfFe#G
zEPm6Lb~Am$BAS|{@9gz6+=&@eG?5|SfAYUawDXvk4kLq_1Rq#2_b7<*kYS`nhcbC`
z1=FuCddj)V3omYY+Owb2gJ73$#&=@2Fcap}t1<(;U>Iojth7THhTYe3S|dt$U(1m}
z(aj6b6>n@y>g$49z2ot_E7ZWGz_~3k%nRE}&qz7NI?(vq^snkUI_P$qn=ql{15-Dv
z%$F)UkaqMZ`|%P6h}(K)6lTT;-*nym+x9ppoF*Z*shtsS-TX}s%jAPq=USO26K$B;
z-euEkVFqGr>QEX70km&aMumLSf}vv_9hI+HAt0T;eJ+y#lmu(Jwu@RoWu!z`Z^RDt
z9C>bD=KL@fw_VdOs0I9TPKuc_95DNDNVtVw0Maw$7T+~$f}hi<gu^~g7?{16(K{*t
z+^sCPo?p|1;kzFW$IWqqUj}iS=ZheOUZ%63*3*Pn+a(Q2-CVG0c)^}wTnH>^OO;0`
zG~v(ixuDRG+@QO-zk_O@2xw~z@o(($AfIZu7X51;FbbV!QZo~UF~!=@qC5@Q@m6|M
zo5u_OH?;a{EXAPq2_5g9cnw$&p?I-Uzy}X+1h>2Hih<pqBVS0DG@!V`;mhMn0`O_N
zM8tj&hxEG68IwQ_I9=Z%bD^6b-a0*-GLMu1<;A1gfgu`TL@rdCUljlbF7io>Lz1v)
zTF?^|s{t*ZVIo9XAsE-~_&^~c1p{OHW;FR4;L{%_w|ZO{&S@SKi&&R}o{1;>d;2xO
z-#;h*UA_n~Pctq=c1lC8ZN^AEmnLX7CRg}wio(ZjIikZ087R1QF0IN#6Tb80P_*WY
z0k1|!<=0EH&|Vr<(N(1hHx*V7<hY0fiJy7%x~Uwr3f@X#meYbm1XkM!CJDG8wnVg{
zmWTB8O^-9rwIDU$GwRz%3DERh@tZG}2hOQu4>MG?;e*O%<4-?Hcu+j>yV6ntSmQOW
zF12U_gom_W7LtO8x>)>VivslNNd+DZ)&UFO;wJlADVPy0$;wqC!Xf!zlQcwKc)I-8
zallI&>eF7Qd7ULfNz~77%2{2QH@nDby)F$01oJcg-5|mcy<f@05<M7j3sda7E(0lN
z%6Dl4h|q9g;P->;WLUcF(37$(1Mv=8PY7y65Y}>4^s>|kcB`4XFOIU{(^m1GzD5CF
z-gS~;<uQQYBaJQlp2@=Rp)-8^vI;={?V1_*#Q>aag$#E3W#K?Fn~S7}JTPK0w|wsy
z!o2RB?dF0k_+P6ixbG(iiE^O6sfj^q!1uR3e`KNfp4tINS6OIituejbj6vbalRs&C
zWTDifq$pcX2BwY=mE4vB_!-cHRi??p6!Q;a-mnxDJxWT<cLEq-maOjBFAIa)r(SBs
zNrL)~2g_ft0VD>!KGgGF2K3J{TUaPbz&oVO+mH;PPQ^Ag?JNW5Gknxvbcw;&TM?5n
zPxsER_10B=mIm+Y<*nr{5eTJf_Pn1B(Ej~XlRdvQ-1m+i77h}EbMLb~3m*W;I9#it
z@{)p^esV8JTmsPMn@02X>YlGfO6#jXm4yD_I}PMfKDZNks><{zKy2S*NxK0FC@is#
z8kppPB963aZ8d-~a5pPql>j<Iu*YdBZWwhjaoE_!z&wVj?ToQFT<|*m7fa`a>vqA1
z3X(7&z2}d#4;2I2>-tAFtvTR#KY4zf9|NrgrKf`@MZwg8qw|M0JCJ4=HapV{fqJYu
zzHv$zgd881+7_|GS1&|)Y>&HFN^U%$za|8wFV4D-9cBSjg}bHXI|krd(V7`8EeQWn
zYz(y=Vg|M^S%-d58^B?@siiyP{6K&Co2S4tCNLJZ>kbXo2a2U<Us|dNkaB$~e9@Q*
z>{U+8@y?Us=v;UI$wEGm((WX5$ua@Yoy&EJ$H_2jrRB(8&I^u=elE=xOkk(<X*Kzq
z9-Pd%86f<F2b4^|rDo?aK|Wiw$>$?_u>9wb>0Ln{I5jP&GD2boWR}t#*RH#lH|n^Q
zgSmk{yenpSo*B-)RY-8N)`d3zQ!}@xxFE5D^+I(w3w*{r^^!VtAm*}RluR%e{0{&C
z|Nj)1cRUr|AI9xHuf4hUzSgzf=PG4ol)Wh<Sy2*F$}EM-NF}6vqlAi7(oiZA$*d3+
zMTp8ue)sqPd40|~uXA3{^L{@ke3*|I;X!o51FwUwMp$L6@$(WFz_tZ*7YkNCaCc?D
z^cywAtf=2g>Hq<QgxNbKb$lo(-f|~1(hvtZ8(n_Y5HPcN@$lVneh9~Rsv6T7!lV1{
z3+^HUa3eTwiva-{g94V#MPzi>hq@RP6Y%=?!h3Z-0eCSf2|4SN@jEdoW2}~diO{1$
zht~vf&b~6*q2B-!Brci4VFL1PkFO;y2|{(PI+QuZ09OXq)8}aC+(a2yO=J?r@XMul
zJ?aK%=@`>E7cGFw!NS>bq6iizNw-AD^zqN3ZN_;}0IVLa_my^t;%)y_w9R>a@Tb=7
z{^lZx&`&bM^#x*Rj1Q9=_0`9zXiAFt7eQRAZ<8JSE)KQ<lhQyHeH5xX*O0S?u&Ml+
z=iGKlH0QU5hOFtq>ypforx1pBVz=o0YbhKaN!pP=pa)L#obPWrMKF7P{myM~8HgqO
z4xDY#!=Y9NuWjE&&=@o-F?vWAL3YLObZYf*f;HzN*9TGP*J`Doag#%&o%1bnwH_Q9
zDIssi#NZua*k)x&L|3s{(V+%CNS)F5F<%x(^2>)?mZjx!_mj__Z|!<WkZpPRKu!{-
zg*WV6xD?P8<DM8et%r-3(n^l{NFj8?UHihi0#b;An>wWQak0_={=O<{Y<IF%E}d6I
z7psynLx4UuSKQowicS`PeC(qB8&^U_0iWvY27OHJ@XzkJC5zO3JB^NXD?@jBfxAc8
z0OHYGhNuy8_~lh7=i8_P-`;uq)EooY9L^R_QXzu=5R24wt}0ry2$|f1WCRj-f4cpZ
z2zHa_@~$3gIA$f2x$OoS)f$s$KUB)Y<HqE7FAjBdxBWD~?rw;0BEDNs1t_4}WvwEv
zOdUcjrzrviBLpY#kBf*Xg88zxz=og(?q#_(4-Ok)dg7Qv>N7=Dx(4f{2Wfz#gxjg%
zrZG0X8a`DLri7*JxN?Rx4UByqF1>lu1k2}`Ecw=zFi>0NZ?Rtkn|{u-QTCcbW%zq;
z#$jcQI>a0$>S>@#h%8ERGXwp9Q?Ht5l%WxDc9{2pI`rQWE2WIgVYL0J^<}CG^0{X^
zh<xfe9Vea0M6kf-_Hfm*Bo!2$*~s?SQA7Ttr2zg>3*1T05iKfK!H^`2XN$ZlrZ&y`
z7L-t6`GBKItVjhq(W93+e<&l+<a?`{ERgl_eo#uh3Y;2v9P7?1LFUQcEjvR1t69;4
zIkE~oRwm~*$t&Vu1btR%DWG!fHB<DEGTgH&qlGHu(J1&5EH41-<C!ZR{>n&^EEKO0
zC&F)a+|*_qST$QMJK0H_J1!i_S15}UCTXpOKY+dm#rt}RO6W)xXxVQpjRWOUi+SGx
zPBp>}tq?_IdK^E0ZI1+k@5ja&4Fip{x+V!F3NUTncg3$u6fFwvpL$zp=gH{3b@iz{
zcI`GIT7(NjK%&aIzYs_y>Dg6%Awnrm%7D&F5RO)<Qth;RoxPsPWyVCr#kpaX%0L1%
zQVke2wSm*SgT9Ut<)HnV(DCXK9|(gw)@$PweC2*Acz3fblx+r$te^0}>rrK{ydMP-
z{;B`14N61EXKViR!(7k`+UsKW)&j%rZ^D_4rEul7y^C)H2MnJJL<UeT5dO|Z&i#f2
zB6oC`usgFOf+hRD_YHHX%{h%s8;Qez<YbS+b~fBB4sp3DVh-C9_1KM%qWElNuy?M8
z6&rog8O5n)I9}@{Lo5}6*o#=EH5XO{|7_hOHe-qtk(3sPL}5H-FZGY#%!<~k&~<tb
zQ(6v(x6sE4;V#*V91zP2_m!&o<!2_?xBc#zW0oL3N*LEy4zR+B9^a0UO)zrw!{fDP
z0o3YIa@C^PaOyz&6P{{gI84S?WU~t3udUWhFNqzTuAAQflr_dgy@jH43;{ekmOAkg
z9Ek0S-F4u+5n8T4>dIN<$1(aA&Q3K>I4%jl9ThV|`8=0(XdXWjPcT*O^x?u!KGU?|
z3x?3m8$H0Xg&$%no&(2gxv|xz{0&9k5KV9W3eF1f<FAf>h>0vOK0X~yzfw!ay<1rU
zTbKFJd2yohhzB2Z#ePV<u^_|OIR9qwA|Iw&G^7(q{LnC-%wFy_0EbW4VLK*%_=t}F
zv=k*^`d9pFP?Q07lCAGVsPV(Iaq-bMT8|Vg-}iRoF@PrTfm*j<e()tlt*eL$f)wvQ
zO1!O)!wb(|)!pXDsO7sohxLR&yz)1eNXxgE3#V31X>&VYoC@U%5Ju~z*W`NyedP3X
zhV<kTpqO`~JpYmiI`-x)cz5by%wg6bKtcf8Ljf$E3!*So=gY`ENz2<q*5Tjp34ks%
zA|ljF91)R*_ML8e$o1-aeI!Z{{}IG$=KCcu6dN1(N<|M!=0^SIWFdrI8oT){ObS^~
zs+;tf^kA@?F_=OS#xb`MEk-^Wupc}+*!fKtP0TvD#2^CGG1HfZA+l&uj@F1A)<r$1
zwq!V~D4KXq@2z)`!{br5{D1wrK=CYhfvgy0K8if)0}-)K#%oDqx^Nb;rTp9`4i>4a
zKblPC5z-UXJG-O{a!|lasay$sNjh+q#X<oBB>S3hX+7vMKd3%1A&I}At~IV&DZ-GW
z^b?D#9)dlu&am1_qiHo}ua&bBtR*BK^<B`z^65Hq%wrjR-gjP_&Q}?3k2)#`|LCFF
zcT#csvMfyGvX(Cft3bc6b#Q(st$$y{T?~zsL#i#?;CP5CekGqB?fk5d5QntJE2c#7
zJ6_fJ<gJD~%*{@34;p|w^TXLET=H<5Sh8cFs3Z2tsoPBQWE_`#(sgh|9$nYm+$A|Q
z@KfY$)b~*`=%|4a#99UPnk2s}Zqxw%P+QdAn}!e#@_kyDpokqu9oTBkHDP<JRi!`I
z2!79Y6+ARig1Mh;+x22iD0=_m$V)NC`M2WrCG$!+lqxdj|5y`gO#Vh&6HIWzRee67
zP#MYf%N~ghnowI)3K>W+#aji%r{XFq*lgJp&KahO^@Lq!JCn??5O)34WVs4PN7H+L
zjA~$a;KsJZM01pEFwm>hslwQ0PlJNE2AX;IS2)L5pg6uY;2}j7OVb|8qGIZ3OQsXy
za;M;7i`9EsKUGAZIN*HclPcy9zfR5&1ZH<tZK?27#pg3cyH*obF#RAe<Z291KA72a
zOh*-x<b5B_XO-|tNg??EIb8JeQXj`x6{MGx_OfnK#GX{U-^W*h&<2s9V+kq<$WYyP
z|D-%_Z}}tjLy?Nuw+vr(rj;SCSDMw^Er$+bqs?Oq72bua?gmt4<Tb_nlf`MgkTx6;
zX-$Q^q~o+tiW2JQ{Pt~`l*H5ROvF#1Lcw_T#_y|&cwF@NSk5ak?A;fqa8Qj3R`!Ff
zXImAZu5z<*;kz)VS=cUpWTE0o3iHr-r##33A0`5w1@WO~&+^y+FtK4e7tu>Zy8IWa
zEF%F9uGHwjOSGPn)w-EHAcqT@Rz5lme3(05BSP{AvJLe;RzJwXTYRpz`8*eNdMH-^
zM1ftFz7=&{GMKX1lXLtzI}ECC&Qx5Wz<0g<J@29v4sIA<|Chvy={0MeRXPf8aVEvg
zs7oTUATr9No*6r3LS-!jEih;OX0P-iah%L3e7DVu2~QH~j=8s*W5=#E<a`rFabdXi
zayTQLeqZW)AZd<Y^q(@QaU!t)M_RQQU_jW^NcNRPGt{dPh{q*_p&PN=e&`GXKAC!(
zG7Os{H>RV7XF?EXk}?<$7BaxkD)@GesVP|EzJ~sMDS$_{6&=6&7~nn2$liO&1bdpU
zeVBSfKu2g+qqi+1uB_(oqOzLcv<9Wg^A|1W`Il0cW*A}ZyFXYh));#g9oQqu{K#FZ
zd2e}_3C-^2++AZv5E0ogt5CoPH?raNfhuM&eo6}V-(iIL?WVE2dHL|!{Lp2OyDT_A
zM_^@tWk};K>oexoypUM>yxU`v6%-e0<NRhrn6>SB<6Oyu&2=qm&|}ApO4VkQHZm$r
zbFTd)@gPd^=tc5*4(xfS@|E41#)rQ8c1kncSdLJ)WRu~7Rq#WZjBW#@cel=}z2im?
zgM|ivD>tI1R$_*H4ZtRU;_1FgZkQXk#;GLp!toPluim^q*m@&KcNKWRd{DCJc?}<)
znO!7yX6oZ=PjmnDaUOIRD!YVV<Hy}}Li#5KeN-H^ylNxH3+xQMKhs3Om+e>j9?-Zt
zeDX5I;SDdgW>-eI(tN^IfLp#HMh~+b7NOp5d<gw1KGni0gnsp3mPA=Soc0R4`*4sC
zM;V!ltak{b>;AXoWLiEC8tV#wkKzYcx7D<8od^o2@@#Qd7jL{5wRpt{uuhVfw~!aZ
zI{{gx4NqN^`^1~=qxsh>i6p&yH^jm16z%1wqKoGi?mwcc1+eip*xAoX61P{QABocG
zLVEhJmfvYXEbhH}@(HIj1Y!@_(~axkxbpk*id-RZX_YQ&j>*8-N8ECwO9vS<D;Wh9
z!pO-b?RfZA7MuB)`$b>qVBE#~-JuQ<<a=qiANeMS7O~l1VYKy;fqmx3IK(jE$8f!V
ziHM!9ce;raI{3#DF;(g>j^JN@VJ3VEV3E1edXkmaNAU&4*{>w<kXz_XnvNn8=<bYf
znCYT-yF9hZRtjg#ZO;dJDq)k6z+zvTE>3reGtQ4l<6wCc^KzOpmgE1+38nRyg|YU5
zX-ipX$y<$A)T!W^Q?lKXlO8UVSr!&a%fVS@|GTLHRqS_G)hea=m*o0wFE)B2#9!+4
zhySMWcKg_j&VGIL+`c8_KShMlq}8<v1`T{G8w*lWGk|<|chJ_i@{r!|n{Tk9fyKNl
z-Qj->U~o@!VD`QOc)nyA<aBEyC}-&M<{>h+=Zjrns8B>$Hc7tdh!$k)yiTe07~<1L
z*o9k1l#o*LnQM$r8+!*1PG5d+gpl%MqHQ~rL3Cr@WNxF41XJ@Io!`btYvboA6IMY^
zcKmOj?b;aPep7EHW{Lw3zqzHhso>Aau$KYC+DP?J9CNZX14)xucF98(hYn7TC*^D5
z52bi<a<@4$j>^pM?ox&P;B@biCz?pF9i=j7Ti`;^?~dnkYJg1CF54OnJXG;{6I4tA
z^3u{>9o2AqtE=&}lRCcNJ#j3~8W?@=pIq&thVpFJ&Vu`@Sg=DeS0nKLv~T%gk{Xyt
zL(2^RC_`q4$I?~;6+;&*tb4~*Q8jffr;A$&P9Byo6uqgK<z6EGj8H|F>*eO-wEsX~
z+aRBiONEl_df(0-6+9XZDjDP=;z^lq(M&BBpGw}Bb_=NB`6=0)y?nBW)sFp-{vH*E
zJN2X=8!1DI=bo9gqa*_OZ*ff5Q*rrwqgSAn63nh9o~^zs3f{PwGrNna*m^v7+=!xx
zo65xhRwIPKR{KisVl)-H52y`a)D`egaHZ!+JOLrc7PI?}skmoU??1vP50<F!GUIo6
zvAMi7GHM0bl6TCNvM7i79gEj14LL!YFx086qxDNdGU3XAEWD&jB2%JRq0)XoG9wUJ
z))L&UoF;?lyBA7hoSCrhuG9FLo90;#b;W&qq@Z=#*M7X09#U2QbEl&ynEZDP?KEF1
zpCemHcWqEc&bPV$YOz3~Pmh^)mKbD1pP!5S^OsU%IX1b(X@Ll}9)Gbm5vaP_v>MT`
zQAm%18x6e7(PAl5dR$Hz^F=GWb-Gt5N0|OqeZFRfg1~2LSIPx3d9*<xaO(<%r8)J<
z^qMI$=hkXpZx+DF9m~aw+g2#HO^)#kPNpzkV9k8PK>%CSSo2Wl3MJ8Hg%Ews1e2b&
zCI1%q(4oYqXV9=p;oQm0cZ=Bs2{K7zHOst+Jf(GY=EoX^!(N8?JJ=ZY8v{y;c073g
z)Zw^#+&ZNz)_#lUD<hokh_opf=0c>Zg+q_w2F35&Aj^`j5egX<_t95!Vk+4;Mx=xe
z{=bv9j$AUtWRYopXe9?Y|I5-1tfxoapHpAN`3+(6sbXYcke$XaguvBN2GnGojBUyw
zgTdz;L$(Dw^8b5O_d|gR5Gb>1r6c2v@9UkDZ`t79fAsFgVP@FMKN7}a19)5rI9PUu
z4LlK7FBbe{!TlL`dpiaL=!plus!n0UA78ib(nK~K$-FPIl&z1}b93r;r`hnZp{piU
zk^@^Uo)-8E>!W5X?<<klY#{uZxW+NW3A+&Dt*R<L(Dl`Xt!T32N1kx2Zv!`mD{n@x
zn(Lu(gvU_*Hai@qn*6_2^Wq100$t9KE@Jeg5{>;iU=SDLaATYge=x3jK2aC#@!4h@
zTAUbs&G_D$fdEG({-IboU4&RW%3PM`!pUFH4LS@2P;sKSeh)35!{(Wt&X{w9+!0an
zEJYAsLZf77Q+4oQp{U@<As$3j2JCw?B7_JziCz25bP(<2;NbC@7Y}ESTOM*3LDs~x
ziJX5V6t_RgFKy<-@wY^Nx9_6ZX1;#y!wV92akcTb7Vx8-UEuYzVsRXmKmAYc0tu=j
z;UBCr2?#pv709(q5=@cFtcC|kcz1C`@%JeKa67nNRM{qt+>|5-!9WsD<vG^n-4MjE
zyCbK+nk>eG`<CCjknk;`BDHry2m&shMTzEe2-@7XyVjM2Ze=aaow_1eOiHz=_9sH?
z*3u8AU=lW|vN%0DCkp=j$%8g|^2j~>e%39Ggsq;{U3%i;xD_R}U8hR{3N!Vro9~dI
z-SRT#?kx%YIQ^AWBBF%Y7b{xnD<qIe#DcM4DYRAk^seq!#_MPUx{2*N*w^y(N0YV;
zP8hzr{^c=^i{BaxDnHf1H4T^N-I=nOW!}E@Ra^~ox&rpB_PTf|sFi*$RSxGp4)=#d
ztAo&Uh>K%R7i)aga+$}7Sgt-{bM~$ViYJEe1>Mkti0BqpzZ3Fk3St!UpVh?7yUj7r
zX?(&T{Ho5XPyt&_cQR$MYD3`!>$q`>0cwn_A3i8kgm!yj`kNJPJoqgBcQ}^}=I3;~
z&R$hQ8O<OReQEcPQp>HrXNZHwR)K#il%eIek72%)gn@vsr+n6oFyS$CBOy-(>IFU2
zzYj<_;^J>>xXlD{F`JH1cdO!oi}}eb4J5oe>#fOIZHnzWzc|d5)sWIJnZGlc1pYJi
zruH1>*kwOux2sJJmm)~d%|uCfeyL-6N3aF9jZ-i1o2tX7sQsD~mo`E=%>Q-PQ?UNo
z<(W?gt#7JdbDYo9#PY+^DY-a+Pwe=M{T1q1+ZWzXe6Egp(R&}i{snfh$NXE&Q3v;r
z2cEsns!$Y8KIa)r#YMUaXI?9Hl#L0ceoInDi>74m(QYdKlzBzp?@&Xk{U57m(u!EA
zsW^X3$P&eqGAGOA)lk<zxhd@q5mG@^jyhPvJ}umA!ATW|2YX_Qw#$O|px%eH?UvAG
zI=xrbQw0x4L&Dg(CE?a17L;ah31OG}=c+B0v3~9id9g(VXqM{yOR|K9-(+l%pc1ka
zRYcP}1z?+SxBn@FC8&;Pv8zu3j*|Abwr$}<9P5jopKVkS$XE4G=g8y8>EsvTyEvdb
zl;l~NNX55D&!pXG-u`}%Y~DR0GyZF;5$IB)VoItyIP#Ayy4?C3Gau2Rhhr^Ys1vxc
zw?ZaAR0gJNCZ%istCT5Tvz{jr0Gr8S`ITi!R6nurE^7Hj+0!@0)yx4HSH7r8uM)?!
zg{p~r%sj<AO#1Ai0|lI?*oW8>L}AC5!^&IooziZ#(BqwDfy2M;nuj8VQ9|uiKC%5P
zMSy92a_3WXbh_%zFq{wsV~_2`u6q-dn5|z~w$hv9rBkf_{%!(t!@@6fW{*>}tY61{
zpmEE`=6<4y1wU*w@8=<9oYKfW{IxdA6z4h$c3M~QLgWBrK%Bqx&`?s)1ciy&HI}c}
z1h0A<ZGKC0gI_mKwv*)xMT@28z8cX4Vb=a9F~)(B;1A_~n<pvVOMK0o@x~a<EDPQ}
z$p&$D;orS$-zax`Z~NcuGJ=FF<Dmc&D<X8*ZYK%;pbXEQf5xI=gm=H3YkoH}gKPOz
zYn%BzB`decbp50uJg(h2`8S>kr+Df6s`wWu4|3uLlYWsQT{bGRJAx6h=^ka9=zme@
ze%XE8<4*=9a)}yD^R$dI=h1iUe<&B6C9Lmu8DJ?(Xf|Mq9#5lonro{qQ#J>e4LDdD
zVAE-3E~zkjOuW+)PYGJ3=wRcP>^*%L5y;;fc<Hev%ZZ=&_Fu|vfz)v#SsyX%8HvRo
z=%B)~y<AalgW|q)rp%#H50@v%9u=K*;A#%a-P2EpTcf-0m7CB!B~opJafA*lXHpms
zXfmLKZfRQjsV*Xd=m#BW^Iu$u`1q}e5&wPEcJFf3#gRL5yJP(6!R`8@mm<oH{Ju$%
zhhsXZa8hEbdrc3?kA|@Z^(@$6rTk@x*TLqyW$M>G89)wfzxp(o4dX)-q0PKH;Ede&
z!JUy2WvZ=tlExg+=5`EYsU^X|ZnAIb6(gdy3i4gk;zERK0G*gK33oJ{XJqP`z}sJ%
z!(z(=k@J4L+!wU*MzUaM9qnDXTT---ZskMY)s_of+qA(bS4rvpz=C%srJ~(O_%V~u
zDo1xq3+}eryH^z0aP)JZHC-<OpmUUEQq+R3r)K;>9y=0CTSCYXL`Ia2xL~Cw#{amy
z2qbbMdhLF4*()JDzFckOt)mIm{TX%b@3|0U=N2BdPXuEYHW8*>8gN*>O^9sef%74y
z-_IywFwXsK<(jO49~8Fr`A|L(qBD*)Xh~qZ=k=I8a}5wKc-)-M<i`nfJ3rn{QrOm}
zTB0DR0k;b&5^RrY9>-&-x+g^jGwoj^Dro+paGgAMRZtL@+<bC=&dZ|u#&zz$oEo?j
z75z~>O$hc6wyCU=iD)s-wan4efX<OK`Ne!9s13L>BbzS|$?8;2i9;GNYc~BZdtVgG
zS!$D4|0&>Wg!S6T84a*M{&y=RO&nzXjRS-fC0ri~=Z?+Pg#E11*o_EDoGoJr`p2b$
z!?sJjoz7aYNwsCDjFZNY=_9_0Dpl05rEp6+YlGUzIwoo_i=n|=b{}li5s@hR($R{9
z#Y4gE#0WXC?f)GZP1{er(3W(Qp7wth>(cFui8x&I+QK7K3(2E|man5a;AYb3GVYQ`
z`)G@|9vca!-wpb!Kj|VPgFmW?LlKWRILQxMNbqZPc{#$W4~4W}56W$nkn!jU!O>R-
zuNfHMm~S^g`S0>qz3Iw0QTfctf;P8WQ@LsVAsGcH7kU+%RdB&XJU+=(_y2q-yWiFb
za~wK?i62z)3;}C`;ku~$&UdAE))<S9l<I{^HP|{BGz{<5MU<`=`@hSkxU97Eq)x9o
zlBBl@OUvtmIg4Ca?r)BD!y@(P1sZUo@;*3NsRJQix_zgFDBx2~@VKe0iKIWd?^7p9
zP+B<mN81NbV&wCfP1VG%?0(Pq5p8gLoGUbtqQWlgzN7dhO}Kww%8g0W1cS=bN@P0~
z5zHlD$C5O`nf`av*>`I2%$0b)$JG*omvhDfL^SdE{4?I{NoDk<xa=@}Y6+><m-igw
zG!PuZ%k*(j0ar~j?C$Vv!r77QrW0q>affoc;&huF)^F7DoHN{n!6}1=)Wd2RyY%qm
zv1}<EalcX+LD_^Y=0&eJTd1NtJ^h9As0gy_%c9j)H{r2%vPs~OGC0<sKJC6v0B_gm
zNdK}WB=?#*W_l^1>nFc3Gl2_McPL?h8!RzAI4JDcp#ZDO`ux8ejJTAbebLIt5~i`z
z>Mi>6Fk8%eLv&uHDF0+MlU||X>q>v)WT_k&za@AHvdmH@)gGORKS@PLz)yn~ng=$_
zaph!PAE2;!TF#bBQbGLm)BK%`6wY41#?8IZ&`QXtEwsM|q^dWK-=vCTaqOb-Db3;5
zhu%kIju`+x=N#oyPKscQwk&0%?{h2n)+aBr(kU?T-8P@iDukFX{I9IVzqgKhWX9=K
zT0p#uF~qWgfG5=8p$d;5tyylv?k+FPVRAGzF8dT8v|mP^f4ef<`Z>>TYvTf~*Sak1
z7>u~lE~zo3;W^hz{TjA$OWq8kbC(;gHn0Pm7&Oz{W?M~e6qACyP2o0rPH7^G1*Hcb
ztPLmsXk`y7j=Flz1V8=D7K-jLLYz7O@4lw#R*~;!FKtGQVPooZ`JXO5bVsWW=wABP
zO4$2Zm_^kX%b7(R-+r%C^rjtdPP<OF+C1lA%ROiWPIo)vUY=D-yVK&w7r#HZzI<EE
zQvAjcGb^S>s+a#z3TJQHq@Esc{T~1T0RR6Kn0GYS{};#Yz4sm;>tkemd_FesE6FOO
z$ZBXIl9p2136-x1Wi(J$p`<9v=h}NEGbys7q@rv;zkgrnb<XRad(M44?(<b{FH+v4
zVF)Zg4l#4){2@#;XGhMOe4(ctJG#bs(*QUexcZU=e-W|4(z3UHex%pD$-FW1lLqCN
zf2ok4{2=mD*n8K~d+1_GWy;$<Y0wMt0ZZ-Qhzyr3&87HGI{8?G)mkkT7LR>fa=SK0
z+-G58`V`kjZzS$stuvy6NPO+C=;E)0-$TCz_AB*t^@Fx7R}1vvtoQ`mUAH0Pbmjr4
zsXrC;yG=jpc*y$jEnKjW{mCFv%I-iKEH9x;xp7HbWm3TJ?EHl)mybl?xrE%=@f`Y|
zd>KA=RSG;#yQl5)UoRoi7~~r|d4V3Nc#z5Li5|$<==?CZ?<N*)%2zuI9ulqOD!V#8
zJ-GJ%xW|Ri55(>HqqG5oLPGl?t@qYjU3jzOOp_5;C$XC)m|cLslvtAc#&W@47aEjv
z1LOX55Qg=N&$rrE5V@U-g@226V2b9w7^=}haC%5+)dkiN-TcKZBZJydv{_pEVpcn0
zr5Asz<zfTDXd<-lK94pmg`PZ@<I_$Qdl`?g-)<qwrWh3#hz(#ryI;<3dpj}wGd^vh
zr=2(&Ic57kR12J#k2ejUX(u-8lLycIc~6A4YbCLiXhQMD)_3e3?Zo*oilzani#QNC
zN()-lfU|tLJ1lo}5G(ZxX43&Z#J5%c!pV&qaEJV~Vv+ql@k<_;FMa4E1a(aqcEzeg
z$ozlq!K3eqJ1^dzTRS*FTosRv${Z#`u&H3|z3EP(U_?K<LiICoYx@?>Y-2K%&da+R
zDt8etxxdYs^A8bV``2@Gq8d~?k6(Qp*-cctO|s@a877Rvbt#ADR3Y`u!Rxb9y#%x;
zykrX)A!rk{jDMc0aO~!4*U*<f;>5Ip>#EBbQJiu8?#D_MI4KgP`+ndfG2$ranB_M?
z+&1bkX4F-I^Lw+fUucjxrC(kW{(O>fmfS&gPgjQca0cJ6R$mCO;Vh{~lpn;QDhI(f
zF=g<MtB8$F8zNjiF2twJ{v?F9l|0!Ms|0C_8q#T`uSB<!ddcvGUqp5ByH`uRO3+!8
zeep@l2r=WFqtB!HhuD>5bR_E*30Nt=9m+Gu2%*R0{U*$FM1)u4As<l^w4FTb8}Mv`
z_-X!^(Us>PVf=P$D&?Ufv@JBfZ}>S$xQDToR5&aU)<x&yHf&IY=$<a7xWhk)vZ|pi
zm+O{@ZgKI|0J;KbpCj+(6PqFa78TD>B320}yNX2q9SX4J<L><xDZdCV-!$38ItFlR
zeEm9QSRU%~4$QjP{vqDH(`z9@m|%n8)2U{XJZ!I$VN_6>Bbeu=)Z?64VAT7I?%p6d
z7!a2(VAcIc>{NNWGh{a#@IRS~pj63%0x76s-^m3+Pt)w5+hY!3@#n2~Q;~%i*_BD;
zze_}8MW8x~%nglE%M{f_83=Xm3mPk1B@XSCzvni?3#P=AELRa3xW->o9WcfKZW?13
zRxb;H;qM5s#mCYRSCb!jJc$X0b3dH)rU^mJ{O6W@J84Me`FL$_C<_dqTh4YD69NA%
z1FC7P(vXs_Ec53E8wAU3I&7yd26rk5pV9#-;QI3~#iok`h#jhdWyd8T_ii<<x>E|m
zEpK^z-N_Ap=#u8~PYSZLY4lq&QZPqa4$4vEgO66<cea$tg2lk!_nIcs;48Q7*T{VV
zXuTR-wq>6J^#01uka;5w**4-;{Z2v<d~j;tI2Q?Q9xd-rJ}m?7@jemrTI=;u)E2$^
zlz=g2>!Ie$vJg<>#C^g@3=VQU-;&#^0%D)12L#6Cpk%&n#34iiT>erIex6i=vz1GH
z@m>lrrQO~kJ0=C%>XB+swKPDo`K5yDWksM(yXyBu%L4a6e@s`b7Kn04Jx={a0_8nZ
zCv<2Ez?x8WG)+(kK5S4=`&^<7hfjOy3D6Z`EAZ`S?bL;%zG?-DUsPe_f^lB?J|&p8
zyxMw2fdbxG<a9bz9a_694dP{0AX-?)&)r`i%0?J&yWU)X2esRDr&QsD!l#e@52zr`
zaVN<|P#3OW@42B`Lx#JviL}^PG}yLw{6T{v1;VeIOs8gO0BhQp)SamYkn#4-BkxmG
z2ywe8CcVz5Y2Jut6LUjw6IoL%<un9Fw=_zep*Dp2vw6fsuKR}j!@l-*WB8qa!!fO0
z2hv;LKT`5Hgx*oo?ED)uP)NU0lb56m!^*c<=<Nm&Ynauslt+L@MepmEN_ucUvUPdr
z4GlW=+&jfKTY}f@E!7W~^x)@4u@s656}Ff$h6SZ=1XHCCi!(WTkZ8zS_+E|zY8`AD
zhia`rL*Bw<^Ibj2Y-%7Wp4EW>*8@ewn@wQ-u(XWZUJslU#C$@`G~ly|jJ#8THB`yn
zudJ@rg)dh(Fm^R4!>*<Urd?guu)Ajbk0P5cFl@$WKCN<KuSd8HELlTJ04;jnKpW0Q
zHl15a7lB~<nRe3=Yv3K7N#&N%f(JuKW-oNHf#%o3wlhiAaIfO2?yD+wP);wJF_)Mk
z%D$cV@>8~k3{qQ}p`#ikwcW^gIygz!zn?k6lCTMCe(;?PXjBFU^8Ete97bIG0^clu
zTLDv|)oh6^36=#ZMh3=Q_~yC%RWn;FAjiC|R?C-%=oE=4P7eVT8oU%Ve{Un)oRBif
zTb6=f4P09G&xDY$sPYY-vjpa2-l-TP2IXnXM^+p}P>-F}wa3*G;zzsVzaAEXQ&|-b
zu5P0EY<$gY?JdAeGV#U6h!=K;f0DPD7RA3xDV_z|0BT#9mRC*LpmjRKJBKQUZ!Wwn
z`@Wrk;Q^L|-PLQvPd4@b<CbFh>1;{o&z%<Vc;sazi~TGi?W1v|g)D}nZ~qODPn(1K
zkG`KzzI`Qryw|=_zbJ|<Z%t7t-3*@dkDt>R%p`W}I{luj5=B2H!H5HWrf@H@jOKJ{
zkbZ=g@Rub<6dxC8*@nxRLRF+8O-yN;u2xz4&dEm<(?TRDmcb^VyX5?@p?r=WrSLt>
zZG9TDa(`A`Ycz&2z15A^af#0Ulq9A|5ycN2y;lQtjG@+XsL1p#1Ad6^h`VnjiWyf|
zeW~}2AWw`m70S<yymwX4^so2l^24NX7hxlap7^)%$aYqAF`0_ocvBR+oAagJ;tb)Y
z+V5|5huQIHP;Pr|pD5;Kyo&uJW(XZp5srZeIPt$tGaDH;is6F#h04`O22lKwr#EaP
zH@dzK)U>M>!&t%Yv3*7c;9TD7y`PU4N6}}Y%|{&TKD=j8{y+m4*P@z%Rz55SE$7GL
z5;(VH^3(e?4d&0a46bbwKn|HT9r}a>X4t-GH73#E2WJmCizJ9}>q{%!2T8mXr7gSi
zfeNna#y|U+gwWu=c${OO6n0;=XIQyKg&Ru3cHQGbC>xg@w0&M0qYUe%)3#H=&V=jA
z?M`9TAY^7<>dIpF$3iC`1u6vWI91$QCxR&bV0QAd94haBj}3qIL0O86PoP#58Jw22
zji%(0Gk@vw*&cn!dPY8!-X?}JR`xZ`uM{x8?Ao|ul|Fp88}^DD6-W7TCiA{aikS3e
z#pz<HKI~QYbuQqL#76!S%11X6j#y_Z`;_a$@Jp8VOU6<dLx|RA>nkC3M^@9lHht*z
zbg#1tmBvYOBYUNUGOp%-Hy8P-4=31){`6PN;AK;nuUnW^a3!4iN2V+le!qKlvrbM9
zAKZ-eUzt(C2ao8F)pt_CSMS6r>1*=nFI}{O@3ShF&T_~cd`g8W50*Mwm;&;<KD41V
zs^KB$!KGDh8uTAM@WIDO5!u&<Pd_Li<5VHdHuwS!vJSZx*Uc;9O={4csYrFqmf?5)
z!DImYGA+|ON=f+GOC{9YMFWrgAm8&&Hh}!XD;HzWDWPF#Sf&lDCXV-Hms2ba;gdQ^
z15K6jckb}w(FdBiA=u#H;RQp8G)g?&FsF<Kwh!}|#I^9cFVEehXarAOOI8}PRdC0b
zE;ipoTG-6`IGjDf7#hnqn`Jnv;z78R92~2K_8YHdY&&KGKGlEiILB2{BSLlW%SbKs
zXs~T>b2Ww1WW(g_AT_Mq%qjcTK?`T^aF6+$m_dJ`pu6E`HDoUJYmxk@iMsL2B5|_j
z;P^S!Dc6XM6-OE0Y@lhP!NEA8qYLH`<EAXV<un=N8NSSa^wvPnqmmku4Hlqz(C69j
zBr-<+`htDi)NxZepKD_z0T<{TOyc**SbSw7xm=!%!}X~HcO(E@>kRkLT_odWTOXpX
zK^604PhV*A0npj&pL2f`8TrN*B|<z^(4ED-Ln;+uv^14GKdFY#J|wvd_bTDq>A{Ps
zwE!IFN9*66R6|C}(gkfN654S^kS2!#9!{2(?H^G^lA~)2PrU*@Za14znE~k56dhVN
zQ^jV(La%^3a#(dyL2_goplFb{Ncf5hJ{7V0CWq1(o3S=7{RQB&x2nOV5@j@>-C1rc
zDT(too+tQf01{URkC_iCp^K~M;>r^-^az}7(Rv6Ff8RF2l358I@*c=}g^6H`W3u~N
zFaY^?yRNq)3GI6_!V3QrLaBu_S^~xZUK+}}qJ$!r<H-2LumC=rweBwZM}U54kw(TI
z1-$%zBE04gA96L`iaB+HfbXdpTOV-C<G#=Tu8%+DK^<9+D}&<}Fg^N}SoD*{FrA<e
zxs_Zfx-qm%$lU_UtJ_{fuQV3pSd-{>PAna1>YJ=IhtMN8TB7zyVYH9y)$=wS=pU2R
z@=MDcl%M)ct1?L9`MG`3+;`ZqQna8b=#CkPY#;K#GI6vDs*2U4u_M#W=YBs1Gice{
zPuUwUhUInteCMUv@r#rnb8(<4gvV`s5g#dv><?2bXdBt_eU;^I<~|eX+ma@HI!Oed
zyzy7gOJm0f!`N@Vwk9CEFmSr7Mi>u&+FvfI$ANa@O{0&?jG;>7Jf9K2Fs9Zn?J=3=
zz|_D0>?-t(f$sQDXW@hp&Te7Q!cI=4N-~(7d1?fbuYZ}i{t?84Yh#PngIxGP%O!zV
z-3YvvyYx;(3!=-&yJ~Z89?WQuef9c@A<S+XC7rbp#Dk@m-w$~3BF=tDDAY9s>uI}d
zu^fVUK(Or}TP+{@xZL#8E?dvtan>&;z6qehxrbdc>H_$a=XRX0y#X9bse4*8B!H%I
zGUa8f0(gs8iZ5}H1|-IeJr{op;9+}xeyI^b)bhNLzOc@D8|%pUYeIq;Rm6NPtxpL3
zjLY)-#b_|=mYlZNUJ%Wf3@kr=7RCd2+Os0csF1Pklw8RjLCma{c0c=11et%SM!We^
z;i_4GqSZe^%w2n}N>vm?|M;0bPsFJ({yfC~Q=kx<(36R_UE+A%)bYXWI#<K9t4YUZ
zg^+`<Ae6U20>5XTFD$&J4{jbsPuF6F@vExHP`Z#5cDZlzKH{zq$E$v7C0mN%(D7}m
zO3~6tr+2f~tLeiXbEQ%bHc{Nc;>)otC5tY{c8>=!>cb`@XO-QbMbRoG^`s|V4uAW<
z=vN%2!26#?&uW{+Q0~OopBrWh*p{AB^SYA)wTjnW9=D2PJD1C7yOJWR4z7AgwNjwi
z`s<NDBNEtJ7Poa)goMvWo4yfU6nH`Z)e*xlg<I@DhDh=&VbF_wA<85Lw#CRcDLP6c
ziFHRElb|wkE^;6XpFXe%4f#o=$)L|_nb(?x3Rd~OHR-U_hnGt6&Hu5;;aX6>ZlAI$
zvMw=|=SS$nnQviZMrY-*C7y#+t*3?tHK$cFKIy}R%+23VFDl?EGff^RGcsm?fm5;#
z6%ry+Q(9~l5uL7sC#d6zP?6t`HB{h!eDx-WI0+B?->Bg;*1-EetS5}!X(0JH{mJzS
z5_W~`37l5Y#OB0NmlG>AC|)awmML5J-$T2lfnS;kq+91wOANr(D)Nz9v@)JKA5>_Y
zsfCSmJsRcVhLAr{z?bi#g4?fLirYiofXV??sYd&afazO#n2W3`ie;^|dnRqb#Tyqx
z9y=R@e227eK)34p{S$#bjT`XHGQU%koe9Xro92mJQp4oJ5YDZ&8*p0wO>>sLDKsXu
zbZi$R<K8Io+0cj$7#>nQbkxxdq^Qw*jT6b}_EqIz7sm#Sy?j2s*2x^o7n19Q7RXrk
zpX<ot7A^dJ(VuV7)&eSclsZx@)bZ$9iNFz8O?=&c;7POox)*q&{%Gu1$Ee)6GaM=!
zD2xrQhgkutr2e*#A5h1(q2(hM)nvSM%HqSJ0{}dW+dW1$s^h%b%yN*a8WxoEynX%>
zfZbB>tl<h7Q>q_(@Fl9?*`oVL(r4GX8lPFrxLzk)R*Kb?0VV9zd49uO$rAR*M%>=Z
zL&osEn~(07CE?ba`4u`~2`e64tM0yP_)f6tYsWqXbd>(2P~%_;>LZ6EA7-gyv`6*x
zmqD^v$hUi?Z#~ykEc8a6?NGsIb@DHnH%Vd3-@dwc6ie8*tS5VZN*OnlPJ1r9i6d_r
z*RY_VB}}ZaKXYGD!aw2<^bPYx@K0}Ga`smM-|fvjS!*PmirCqn=p=-%JksiY@&Iyl
zcFNW=kq{bBe7{EsAh%RhqG%96!t34rC2WdlU;k%rdVvQu#})5fQUl2F_^8CruYk2P
z)a%k*TsZnDLwkSex<~#+F<da0!_vdXREunO9He<p@W>Ouq1@%&cvJ?N5A5^FsAa{g
z309w7E?NL%^(CH#GAV59jAQoN$$}4G)!tY5WDbc<#`2ORNwlzQOW@kcj0M#UGh8O-
zkf4y@=$R>w39mBRZoXl{iLI%OE_cl!^_0>pl8qRugl)I?KE#A8#m94g%$Y)YT+cNc
z$ND~Pn;tmn!-VM;mohSTm;z(f>3=m7!YDm?-lydb6KW;vE;E;!K-vDQd`S~Rc%OW=
zs)LCclgDzjuPB(n*!GG&lI%iQ>-$xT`2jNq#W6G-zhMkKncFNwtpsr~z~W@aJ{EM`
zSe_|9Zv@{OlGR?{6Tp_&l1D_hu;T8mk&TZJ8NtQ`ONA;y0qn@N=4;=<hQpiX<gGs&
zLfDV9tiLw$W6d4oAEuYsvA6Joww$LSSe*CZKAy;jls`?84{AA3D>O)XdyfH#KJWhi
zMS>6Sd;9-cBXc3og?bvhmjS#SugWuN;>B)f%~GLkZoCsEaBt5L4T3v8H|0O!#l0u)
z+Q?e+;)`*|&DVlx@JNM|J?#}QYM+{88~w+JIV30VtW_$c&IP-?ndHUvOR+IqeFgA*
zRP>{N2~_xD`|{h6Eg!yZR<}6lBZ$=FTfV>2r9yd3^TEw+e7HLG{gl$W2bjBMkEy-a
z2Qsfk-;VSA7}mShHYQRS2Ywm2-9MubZ?1Bj+qdqs@$G#{^kNY#BNtLa);Yhg+w1^l
z3t&aPyzjt*D7N`&R!R*}K+0ZVw$E4)UpvU^b8i#J%4hM(oJkZg$&GpP>9ZiVQa!1M
zPy#cBeV1FkDKKgBp^-mD2w!mIyj!uBLUj-A7u;kDwA?qiQsXa-7YWP2r(dPfN?N8P
zWJM1)3E3>{-XeloCEB5KDYEEY9KE-HKo34!*vNskDEbENDJ(f8k1?0!U&__#L4-uZ
zblr9_49=pxGtO1OO7kw7<vTstS+H%*I#e7Rzv&r_<tn1<Xy!RjTt6rLmw&vFz*{8O
zhg*tCSeEyja<@YdxZk)A*E36DsJ`64<1OnvRv$b@{MLgZ3FV?k0n#XJGG{sRLm9sq
zxiaS{QGlGs8nrYggOe|Qm?n#=B4efaPaQuBe2@FXFn(GN#hyoP{$i<y_5DAxsO1!J
z+&z@N%Bz5dOzr%egUR^gd4v+PhCZ0yNH4iRvCf_2M@W~G)v@%PxO??eeHhHmu{znP
zh#cKrUi-^5FmPxk=D;Q@#Br!ayelN3&}DhSu2xN4n5w0R%u?Y<oWCF3Q^M&ki;IKJ
zS{QJRdmHat8u*FaKDIeh8ISa}xm4$GK=U?{p$91ja8POZ^xa?;JQem%-t3Sze!sEz
zSa*yeNF`jD3v*FLJ^P*hZ~tl|pX2POkUK`OdH652o~(xS6g}T>TXpdJds%;z0%ORu
z_7eF$qqe?JSb56$>0lu}MYFxb1Vr}QBvUfUXfxK!y=tn1ZxYl!`<6`MjKJinqIF-&
z^nH4-R<Dg=BdEluY7QaK=d|j|)o~$4-QW$UHXe7}wRYOh0va^FW|O5gaN(;GrG;?=
z{{34@soPD!ZC2YD^KBZK7m+Aa`cf0Gis(Mvtpku>`jXpiuLg#<q-JnyXyA$HDQ=f^
z0FSv&mx0Y180GL*ROc`mC#Ithc{5pp#NhMuSC}*~i(QDZJ5m*`7WUkBaJB@s6VpmI
ziR!p{z|>CurZV!FIs2Diw}gnj4K~LZ)zRpq)c3S-657W4m}?hULdk9Gv%&UcbZ#kf
zICez=Cqe|uzrVADH)^h>kJodG!0*+KsU%s<U1<*FDzyX^ACpgN*HrQ1!_l&d(~|hs
z$9#wGV@sI%Sm%H4vI_E2&oo>V6~ipy-KNJcSV9lq{u+m1Wz-BF=4E3SMhTk@JLT6s
z<;?%CK-pCZ<=g#|EVc{at3|rUT^>t#Te75TO(S7{j<%=F0yk<;43(;`=a(uks`D}N
z^?C4|bqZqUz^+@n7QUYXSehtFdA1^t*FOYtxxHh-${rSpW~KFh(yeP*2W4?W-G5iP
z6cbKfqUBel5YV0LVVc_|ja@_h`4YSg$aip`AM>QeI<L4ci+__u`y)1NMw}~jmhETL
zuNhi^%O3~F2htK46XMpBFuX|T;xVgQ2sel09DLPhgT?To4HJ1!<O2QhT~2t~X$E@&
zV|J{JieQuQ=~s>Y^Ys7Tju^!$n?du)<z3G%3Zwfs{ueEk^K|y<a)&*krt3K|j6Kv$
z2*2EyIUGt}pfhx8W+t?mfL)olJY8B4wS^o-h2|INg;IRuQ5q&7R(UfgT1Ei<{w9}j
zD=yJ@SN&`~b=?^DQzBCA!uU|^#<F`);xc`q@mhKKcOy6+**QWi@!;7zFH8#@R_W%R
z(SA+ajiC4GFV@vp-1yqh*h)>70li<0PI%D`p^d@bJ2Zz2<rsJJeB8i@vpwTaEp!aw
z6%R}M^EOW0oiw)dryCQ}vWM(1Ju-m*u9j;xlR1&+jI9Wfz>Lig5>Q>n0Om{ULr8@j
z=(}m8>EHwlvR+*iwMnMIknss|2VV{>7aGdS+{T7I9Zhe>rD#CwsJ*SSnF9?<Dc0?s
z>}c~5AIYav;d=HD`_GOX$kanFrUY@~Jfqwm4lODK1~RVwy|A7Gx4cvcSK!9LZ7&5X
z%hq#&wV|&?7YFtqt}pBU$%BUXN25+U>qFqdK*xS(PArs~OTF=l4@FyKjySLH;nZCo
zk(R$WQGB{`MB$VG`X0G|J@z^U8VfJAnG|y&<MjJW0k;HkHpb5)Oq&8s#xuix54q9n
zbf&TLTOo9(i|HQd(}O5+`;xE%9?bEl_J3XxM#Vq%vIRHv;H`7*$BJQIEL&LSG}<AG
zojK#bn>XqKo(dX_Hs?oO$;;&W+V#ETTNRHj)4DI@I&pE20FG(5JCa-^a5Qf8+1mzP
zIR3fUB!ec1?-WFPEB{I&u}IDMlB^3nseTeC6@<{P^jtZ^8)+1@C-;P((1qw@mikmh
zVHCHoW?M{>#TP7Ofh2cb;0u3c`P4`R-}wd{47)3j#g;jn)NOP@G*rjzzMm*QVQp48
z)~~S6Kb_l$taPDbzWnOD0x=YFuv9!ZuZRaet$OEg)dlUq70)z23EUd0^>M$75|ZrN
zln(ppLI>Y-!`w(oypsKzM)gs~YavmWEpF?=`!1h5bCS}i7ZH4O-~a!I-f@NYwdn!_
z^UfZt8W~J6@0HA-SH;EJ1~WF29^7l?lkbj_L)#i*^Lb}7(kELEB(C@KJQ4XQM^6FG
z>X&zF=BcB8@}S!mZVJrU30iDXSHu9Vsz?D=O|&0*J<^o9p0kSFd^*)hSg+T@X6mMe
zap^+V!QT2H#B^Jas;7ibfw%J(6E@&ma`+r+0~K~QhhUSLGR~cG`?s%58`&C88&Rcc
zP-ZVZ<z%OVBc?}%j+E<QP@fm8w2A@5IP6WU+op=jyv~E^cDi^o=7IV~J3|;gmhdpz
zRSnaoe_OfT)y0<oT!K2ojUe-OIg^(i83*)y#5*f>(eUqyoLim7@Ile)Mu4U|cG^Z&
z$k*xO(tNGuTOCvQ>M8UfXI34ZEfv?OX}b7@E3-@Iwi&qZ3ecW;pn<)2@8*O$=%Q(L
z9&5yJbEwF3l=4y5#7fWB1m{>C)EnDFy<kH?vCTy5tBaaQLH7zL9c>H>i%_eu0$2pD
zr6+lsxctyM*E&oKnF_@AWPVuZ>a%JMha63u{I4%!?4kx*9MuThylve(XCTGk*t)mu
z*ls6nA)~0_xqFUpEa86u0096043~E})o&Qa?Uivjj&W=b$KLZ8=RroHNn|vPWR;YX
z1|cP)K}sZ{lI;BKzORv$Jt8X-LS%-BpMUS`z255`&-J<QTUPSiRwJ_lx^ZVD&t+K}
zwS<*V1~Qw#SBEDSqUYpM$^F~!0`Ewnt`NKEOnnnL*WqKb@<tAA6(=-J3rV2TsB7ha
z?Mz@#tyq+Axh&$r`lG!gL{Q*I%i?$TCLk^%zy4n~8L7|y<MiPXL=4NJ{%s~EaE8lb
zD>qCAz4xLYSzqTxZ=)YR6eF6zBRYeg%jVJues0|7v*bo!zcmLIj2Z)jzeNObTMAu0
zEUlW$&5m6AGM?r=Glr{Crf-e&C6R_}vyH)ZCe*RxI6$^E2Bt4F+AFRS=;@gcr!Rb_
zMJaJ}{p0fh>fI4XFA9mH<$%mg&&f?}e{kp1!w&#F?XAD>s}w;rC8v*A)vaPf(eUD`
zGC-av+qS5S5UMZ#&XmTyh%G!QnAuLCf}|I{Y@MheVsUGuAl6yTFnzt`NShImjBLl*
z82QnGye$(8iAjurx$^ci8v!Au8Rx-6Ku1~>&Kl8=V>$svE(@lH@P$9#i{BEDJZo%O
zn%u@Phr`@$ap49~)+i_C_nI3eeBzkW-WkPo<t}I(YtV-q=GnQ^iZ~=bROa;}X$)ia
z{$iEEr4L*0Ta@QMaG;0WI$9&U`ycw6>YC$BfkVy+6L8vttc8#A=y6YAEl#19w{!JC
zyEeNv+maOxd((X_dO3wP_yjU5FzSJM=PTRftIUYh{&en0;tVF%{J!VGDP3Te%2g?x
zW<&yx)fU#HbC|aXds7<Hf$|%@F1hgx=%y1%K=i)_OzWHXsF}15cu<B<dtatU)sY6@
z)SoV4Q=(#d?y=fne`tVb;T|1wGJL5__jm<klQ<whwW$RmC)h2b+h~!1GxLr9j6aw>
zIkBbGPYc)<uv1?QX^~fERi9t$I;Ixbb+B<<6OzJLi)(sm(9_VSPwzQ4vE1Sy8I}{8
zkhj8-m-3hf_5Kxo8|L{Bb9LP4J~yNR=Se4>@PRbwyFqqK>F^GQ>rSPtozQ?cw^v0}
zf@skF()i37Jz5l0Z}a=*ggQj83~e|*r$Nt*Z#&W^(jn3K;TQh?>d<QV;FrrV4PyDO
z(teYL0mU(K$NKN6fyYEs?(yAo^2^qR(?4WH(p?Jr1&`EV-^(_!#&TMu$fJ4OPlFj5
z*anjK%d0^*pYr`6J36%E5vJ3##Df0GJ#TZYSA~Kfk?S!W^k~a!w&+e58^Wasb?xy~
zg_*h6epklnQ4r;$7RMKMM89$H<O6n9sNkCPUF%~&2iJ=^MQOPZuKIHB!E-9WZf$y!
z{}&@l2<Zsy%EqAvsjv`gn=(AyTKg*}!HgnAZmtf^bECzqeeCb`l;PBArSlCzEXd}4
zk!hP19=S`cYhEc(f(4&&q2?7<6i_It)LX}khA-Rq=4vZ}cfir`{fT=}VdzqgtTP|V
z42cbU+^h&+YIS&%TzBU%$R&FlFM!T=b8^2trwCPRk0=Jmxlj$kIrqlAAiABC(fg33
z2$~z0V&^~N(21vpm$K)CP$O?+$c1?YD4?rOd^OFDx*u=r+u}u$wAxkc<TeGk{3h}U
zNg0nW>0Njbs49+jOnXSJ4GQp0SHH3UJ}>$!T9}vbBZ2$^?6yh63J}J*^q!lI4|$tC
z2)<e&iGDrw4OQb&gf7;H|Nf@)qZZlX@QY$3WNGy6&Vsih5RHyyhdT?R3Z`QoX-}ll
z*w2Whwpm4ZaLe)<XbPc9mRIsRVq}yk+wn2wnG&$qblF-eh#=1Fa)vYi$)YCq`QTf-
z;P@|FHIUU<45{v?&6ISIN30IK_?8DM(4g2{vZq`e5eK=5)7uJYGXANJdw?ojFik$R
zF)D#(Ide$i=}PFcu~e3}p&I1Y%UtllOQB42=hyuPDkxQQKzT!69j=VQ*_Q`MNWiMg
zf99kr@{4rykT%qSV-o}S2yxQLiBc|K!lj0Ee5_L7k|wm{Zxv~D$e_x=p=AHpYA7M&
z@{^EuE$A#DzCXn-ix&R%dh!XYBO$k2jc2TNU}+A!@y|dGJ?QY3@;|GNDnpF)FHY)0
zM^yjMTaNN5{qR6xO1L^owEpTk^n?PQ@!5VKoE4BzM&PlQGwR6Cqy0*ltpQ}RS546B
zE26@umd|N9)DdTLwudmU5zv+L-&_8rh-fdwHh#aTh8QHYMhhFM;J11tr_x&qovIL2
zu}@Y-^N%JDYZU@mkI*@E=O`hgTNGR^K?QwM^*{~2#!&E~X5?0Z64Ix9?vRO7M0vt^
z;wXm+MBN-ya=EC4RGSw<g)8Kc+k)0e<O36^m@?JBzpRMrFC2cQ`#}bo`9!`sw`c<U
zW;OT+H5HLhd*MIEL@8u@)+JG0#T3kWY7gBqP(bx+eX1cL;z)5Hr>DbyQ#djy9{Y(~
z9-TGTpo``ZLRA~G8v<sgkZt>**t<#=HNM}{=?WvDV|8w~|4Ev{%}sI(*FG{j<+@jJ
z>^cs8y(}Pd=BEizMva*se3V93r~5A56=p%j`WINZl1yN@9>*F;CZVg7YEW^51_@7;
znZ7nKfe(c)36U|9=pHUx*j{@DWBiwV`C5-LG|(LkzrHGt;?G;%t$93-o%fedwDB+o
z>wO{YnVq6Yd>|v-Nv9NR^t#xgu>_FLq*x!&Cxm>iWFD9H?xt!o=dV4#0gzKA7iPpD
zh(=#s`IAN(r~c+zD7R+?I92p4_<;)_qBqH8Ec-l7mFYjc-(86cnhf@nW0QE4Nsbz#
zkmsp?o%WXFY>ePG;Zp2u8aIjwTapT}U7)VfHi^{*7=opGuHr8dF7#Ni_xAIF1!|ZK
zYdvSG0bCv#QL}N}gIpAUI{S1kP$d@nx@5ZaL7+AM#obkAG<wqGz<HMis(6KIDI>c+
zR8qZ#W@i{sc|(s^r`~TWnRF)OrZok!{xjp5(xgLqP9bJPhvul)QnSAwc&rC^J#1Zj
zl6J5qqlPto@+@`7Wx_^oR2ND_rO)qm-o&^&ul-9O{7Gds=9;Tg*M-)#$}*3%HSFiX
zj-<!8C#iBrwm*ElrvqDrf#fQe6^t@pJa}LG2i1kC(&+n?HVCuCMq1ro#6F6wI;w1r
zQ3<K(d=vY$!JE^ca7J(*i{>i%1Et@nkN4gazn8BCui9=$=XOnF3V->PnyUt>ELx9!
zl7zH?I3^|7D>;evO!{r`bM#Ytl#dnvxTgtEHSVlWuYJdO4ii(u-u6)Oq9zRn+Zqr~
zxTEyecodT`6l9N$>!g|wHa7(aY5-I0$N8S`gP4g}R*F+dEA?;DYD(~eI{1DfPO7c+
zVf*cZAJ%y_Qft1OnG2m)hqCIAZ=_!KV2KgrA6`ARRP7ulH={*0@aK82A==f6Jq+n=
zbvuhu9|<(oG+b7LRewu1g@rckqRt!E?!P5egOl7$DLblwKiGZp9>ZtMS!Lj~n`Hr&
zu~pYLGg=i&>-D}Yermve+Vz~(z4)5CBtjBvBC0}4Fjr)*@F$EoE$aPs<O%hCN8{x9
zaTUnw&v|@er3TZjP<9ke_Mp<TF=X;aD1&{Oa>ir*Y78f)`nYZ=4qI-XlHV*+g4U8(
zOn>V!?ESs<gQ4$UVosP;_W5Z=*twB?MFXqCxcwA*7k|9P9w+D&TkZNzg~MN?iT#z>
z;ESHK58U&y;f1q;-tG!;u+N%M>QI42`q*@R)&GFy9qI3Soh1)S7afIe4wPdx@BNKC
zm`gGC(IbCGmgV4<k(oqyT{(9A(HgB$Uj-)ky*p#UL=IBfrk0yHE3kVtDrTOg7^WpU
zPgC(k7AB(xN-_&7uug;Jgy%!mnAe{BGNQl9pl<Wi>BZYhZ1{wcPRVjD=0}@N+O#5r
z<ZU1AyoD-E@|tRjmux*YF7a_)BS!}ESN<-XyNhAc^lKaiw;C}TVr6tTj|^lkzuj6Z
zLD*lrtR0N$GiEW8n{Req8cHOOyV~|tV>NRzANjCW?EL5~X=<7Td~uGM1;kn`AjWR#
z!0`^uIh61y(1`@wSA&xT@7H0jZkF?-E1eh{qx7S`4k^fe(W$7XT#v1teml_cUpJQV
zyt{a1pA-~&eoj11+laMV+qX=o_hRN;J@<?2B|&IE^;Qg9GZy?rG&Q-p56eq9S3++g
z2`OHmzPlc1!Td|QPnHk{FjAw|TvM|Id{bwtGVf}`EYv$iGG7m26}QWTR}M?SB-^7_
zm9`G-dX~<~tJl6^8iuxE=ZC~$Gplj4=Xe)JQkO8GKQM;fe|E7&-dh|7xt!V=a6Q;a
zaR}ozmT}B@QR;!>A2DE7bAPU~+Kat@zr3}$_yc>MyQOL=Dh7Ag9>pEv?8mBIA~`>D
zO<}c<CI3FK76o=%^`*^I16ZN8^PN`DX^cyZcxWY51SZArTAp7X!tQw7)GVX<h22$f
zu=A)8hV`+pPtseyVe|Nwv;AZ981033e}*@Opf65ySv7bJ+lW|>$!1-|4ohk2o-z@F
zi3DTG9KCT2*Dx+YZePNPD>_|ku|zl&JY4!hZUW<BusC(Teg!))<*HgaCJ50R#Z|rs
zr?9(L(I?2Of3Qn&b2D8OLEwFHvr4#N8pAk?SK?1^U=6ffUjmW@0CyzW(cSJB_O*mU
zDdgG0_D1u6o}v)|{Oq$gm8QS3r_p2XfZM_FiV?>W&+$XUWBLMplSS+T^Xqj#HCjY>
zN+Xo%2Op%XsB`$>mNAPcg+&%NdPMdqnjbyQ2ZlM%(;srLVy^<UM=1P^=<jgF2ij=@
z)cD>@IAgVjdAptO89c#^X0pR%Zw3<}N?B0exNZacv*a-EJjIF>-A8qb_z6&~Hk3&Y
z-@>Fm)&A)$VMpz$^fh)hyzok5#&sla2YbEeCig}k7xJn!O^m$G3-{$O9J+Ru7LiI=
zLd4#3qm-MJ{uxVNn64*_&pXm1;X=usk$611VY)Y>NuC$R-<YKOUtmOcD6fwYO9&|M
zRkDDJ3@<20N~gc7VMY(L4tuWe=2dFiNofJ#1(nJ#H=f(Fp-nuct0$j`-euWjrQhTQ
zzN^`z6G|LtY+QIr{ILjn!V_3;GtCRvN9<3R%j1xdD5oRwlsM`+`)61^iU5<-e`G9n
zbL^+iw5JiGlBnQmt*WCJAJBcs@wfegM|A0vzh{_8XyM?wIL1VN*b()QOj;$N2g1Zp
zwL}^8O4v}6R#Fho12@N;{Q{^ch#VB|D2rYlmy4Pa7J`eiK3N(4M0B~kNL%ugJYrnP
z5;~nC0*6^?LpffFpj@knM<Mn~i0fHg6T=B{IMpsVCSfa%;!2LZ>|j(y6w`0hlKUlr
z8t(J!_NoM$O8@z2%0~^|W8F}%NF%|TC+Xc%krXQH+WPqUi#lp(+biFAkql4gL-W#N
zq*0G~^sJYGCQ_P_Ec0lSht#z@%e}#5bh7(Km0z3|Vr#G}6sS^$tPU4n&nt3BOiKO`
zFQ$#G!-<3X>1x1d73t;}q<~!St{8fj=%61$TkC0>nsD}+)U_mkCB$C*#)8jP7rATn
zhCgH1fv@$?a2p3z5N@>2QtYiRO3waoYh8o_XZ{pQG~H4~bOF`+$1dq2iNaR<q@#uq
zuqt%KNnZ^Gyj(6z|4#>HJkg8SvINj``F%^hSq<H3zy0Zkr#7PZ6$-x5Zwwz_r-!DJ
z)KPAT^~JV(nrPWvTF=?S6yB6jJBLiv5&N{2$#FGx<X-Wu$1-d$B;6!F#fz&W>l;@l
z8-6Pzt7jAH9KmKFbIFuMs8B<9$60T#GRvXt&5@vgBy$)OHd}wrr-ob~K92bEPZCKq
z$j?zi&0&XrHk?jx_x#2!(j`DdP5<%u=f;`CJVS~SjlDAR-v3f;w2l+iI3MC@b2f)J
zBc~$OmK4wtA6g;TwLe(fYi;l6D`qgzEQ?=qltZMwpSg3|#;N0k554C-%pe*kT|N3n
z2C<%M_qltH4!&P~9?oC27ji81L+t0Ikap(rSB3-*=;84Fdz*PLOpWVn2N_5pUkNjt
ztVAB@uzMP+cEA+qPT39KHxofExelLWV+cU2zTLN;XaZ_(zA^5$0?7N)uc7oLexO>q
zUUZ)}23pn)x8_1Ta_cL;6tE}&;!$zu2xi7GVU4q=>EuLRT^Ss`6}w!EHZG;U2lzU9
z*Wtz@6DmpdTFw+D0@J}!W1<+q7oih+3o$!bjLQ?A5M3fHmvu&5rcmM4fYWXJ_$6$g
zLY<zFBoXcm5Iicaj9`BDtn<ZZgV-(p)fndAf<XUkqgmeH5QP1VbbB*esQe{meEzwD
zklPzL-kWIviobIHEzV6-tEMP^KYav&98Q{?p3#R>SFgDRIj>S%2j<?1s|teR<?xtl
zLw)EeOMk*Lwncp(w4E4AD+oQu@Qw?~6v#JCzE9Ud3vV0VIKTZN028sHl4i^lxVlv3
z(fgGF>Ms21?H>{VOJc!#!!<n+D5c>#nZyk70^!K~mjGar_4&mcx)60_mPJ8?4Z8AM
zMVxsB0fugz2oBW+t=u54F<*A5F*918u@i)}VTHVGu3i0zaD(w<PN+;E<82EBp@?(z
z1^pWxFfLxeC0OI&c0DU8Lxu?00oz6=a~<$o`<q~6$_--8L+{=e@9JZ99$9nR@b2{u
zJy$gzNMw6{ecMF{b_AxkH<GnM|7>z6GZ7DISF_&}#e@N;l9umps|{1Z@=|;>yzoaq
zuKmFJuK(Q{STyC;hQeQcXE-K#;WV?qUeiwzxO;`}L&cC57*{@&5NacUnFmAF!{4HC
z>Xt*fO0E_NdlleB%lV+2uPD2kQ5?((r)Zg?v_L1#@bBAfemJBe9-o#X4vI(TI12o<
zz)gM9h#^A&>^P&Ml8huEG4%RIj<Xi%JGSyGX9xn$!CI$eN&*h&mvMz1(}G_&>n?wN
zPXw;*%9QRzNkHWE_7W#8$p0_mzRyP?(C!;EOt6uHXd_9<L0>J9oG8Gp_X`8vH@u!3
zGYMq=7(BalPYb$9A}0;DL_i5zew?T!0Vl;Sj=oq66glp;J|l~PIDsY5B}5uB4eOcK
zerbU+v963+NgPTJ_ePBC%7DUo(92ZUh9=v~n}SW^&^fK)B{e4llAc<_#*x}U|NG%4
zzo!I<5e6N0o|0i_s@I}>w_iN<%KtsYC<znSeum@pWFhsuTBVG=4kUS8V_?gW1l%us
zl@Cp_5I(5kQ`fBn2}nwi8Kl5$DD0z{g&b`6*Nu%k>%!?ApB%=1DcHy9Vst%64zdie
zq0@`Iy}rreHj_6A*!pCzv2MtL^7M(E(l|XBoWWoCzDxoSw(Or4GV;*3e>iAMivn-h
zsG-L$O2ab{C?TuM!;yW)FNVe_aOlI`_xMR^cyR5G7lkMf88jZJvmfX~T2NzY=RO%w
za^JBWACiN48-ZuOR0BA^l#uD3ECXgM-w%dem4kg^J(06B1|Y?EuA+NT2KY1H^~Ep9
zLiay=N?)8IOlzoh`7@EB<4{>rgQ+Y8%(AflkT-&vR3pQAA{m_2iWB|>k^x&f-1)oI
z2(At2XI&5=gZ}J~KLXJ*;IUOnlF^}pP>s&PSKBhczIo=X;9Y4bU2{{ENT&kFwHk$j
zRvF+UU9?IG*!_3wCngM=R7fwBaCMB7f!MEKqp?F$p!BJ9rd||a19$%ZH#r&DAJnbz
zNmdeiqhw>bv;ds%vYgp0lZL~ok$bynB%pt<%{yn<?bmswW$n7saJ}doW>qByh83fQ
z>$`gII#r?lEeQ^me)?D&D*~my9OHgE0AXJ97c<yN;I9$%q3)&-1hYJgy-EVu>tVYj
z;3)+elRBkV@q#e(LR@*91z<SvqRLjeB*@O{GQ{-o14o?4x0%mWcyiRDf@6;)w0*~o
zZkg~wMBvrZ`XDN(`SG8gIW7STb1|wn$9TatwDk28A{Cs3?^*rJ5{DlnA+<62cyKPR
zjXzLi1Podt&u9LM!B{!#-H<#U5E5=0tl4V>LX{S7*WZf*lZH=G!w@%QGrr(@*<lE}
zJyiEi9}!@d3EHEg%?)JNk=ip3hOllKAWJq7hHwXkIb0bI>MwW4cn=%EsLWP^u9y&<
z^FOp4?TQ0|sF4fZrwkx6RfKt#j|kktm4?|WIIwTTxYNe<VIt`#%UzNn*sFchx+8*v
z(u?k0xo7m@(HlbXilqSDkD9PJA%_FaJ(MS<GZa{wEdGQ=@Wa5s=$Y4ta4>Z#{Lx8&
z3aI-p<*4-YLFKuhrv)D3VC^3*t;)I{WQ1)f9WvzuV#Rl%|9;{C&D!328Kwt39~ZZ`
zKM^45yHR$F9XC|pTH_JN>A|AKu<hDO0+bbITP=U#hD_GMRIW5#ARjU28p09aqzBtH
zvkwmpj(-zu*3yNBnthSb&kGg!s0lf4JX9UPG+wvqKuzS$#k^u(P};J5TGWV#=i+MB
z>pnVg^vV14MQ?ebZA^Al{UI;Z#<G6q<J{%^W9g4y@_8XTPMhVlHvwK&JGt2xYeQK~
zetvc<FU0GaOAu}O;6&(%DZy16V%=r0w`}vm=M#D(M-S}gPECqY{w}u%?)m>1G9|#P
z@pJR|;{tG-rZz0LRSTH&vYqZF6JXjsq}Jn-Ak0-qe-yc|1>O%=g`-(^`$2A5#=)0F
zFi@-J=sBtdK5J!`$#?i5K4E6Ien<$GNZsYCl3KvoevctUkROCx^!BF9iNK3_-j9{*
zn&5HtM)FD(KR7>H{q!JG6y|?R|6=Rcgj+s5X=RrLfH{%WMYAjhbUm3BB}fxug4s7i
z3<W{s?NmE^i8v5G$3~nj(ga4S_4z4&BIJjrm>jt#0cLFb2+jGLV5(!!5kxNpJliq}
zH_RkKXFC33Y?&s|A6LZ3?+C%TZZ1tQuM`~5xSZtGrU}}JyE$Nw2wW}XIXpEf1^ts}
z=s6ZN!9b3K1ur8CzwC|&;VMXQ%`CA=LQD%bH;0*24~W54PbmOaK&iil@mOgXU7gW4
z-t{9D*QXzd#^T_c!QwJ~a+g1$k=X2;U0*vxTP!##4xTBFS!N1kNS&VEyg{c8oAwUB
zr^6(`d`)e#XpRii=U@7ge6``rrbdA5E?-XYTsMtNmjyw4oy^uB+93O5QCz1@65NZc
zPk*zNgMu0VE+JnXko(Q=pnp*ceoQvy_<fawtN%zg$7pq-;0Udv7=Z+=Jn?Jehvea1
z1;N!hT^FSH8BZq^kRUVdc<RbKc~D~BQ<-!~4_3HLd`afg(5qwA5<M;tmwy`ZGVbOX
zN<VX@Qin8HYdNkkugQZnE^CBPM*-*C$G8}5WT2}eC*$&Wc^L2tyww|_54Fdb8Me!I
z?;m|$q%&O}n%r@e88ZVo_~M3B94{FLPvlZGDDvQ<pe$HGZwTA%COCITGT8Pl-eY<#
z2luyJ!cUeP0++>K@#|4!nA3msR%lulM(}S!70wtz#f@Q{`Aag0eu=~7Fv-HXVhNTY
zdMdDm-die8A;TT7tp-baGFWZqKc<bN0u#-@$z!+3@L=-j+{+)*z~1@Zm!2MgtZRPE
z&Wa2p>JL55ci$uE>~^1~20(!SrP|Of8Q40K^5LleF8`ah16}O_X6;fY_CAq;V?X-8
za>+@;_&L5z%6R~@V!FFYL>ZV=T(x}kT^#b<O{1EF0TOC(!Hdz-;59YMHEJ#fCx1Ki
z1@7v6HT(Sub0lE)A_Omf7lv&asp08!0Ll*W95`bVm`55WaHSJLOd!jj<2XRXC9)%1
zv=mq`GJNfg-R0cEkGS7@03v%Xl&S2_gWc9dba^%(kheOI{l^24Cvt`@o<kD8Z1q%=
z|M9{Jk|ss0i3-}+#e_wzC1ALH=4WmM9;lj@29~FHeSvB$a3w|@B8xgP8xtNlA=jlV
zv|t2xPI_}~r-^|!y+2c>CO71-L=#_L+4Y6T8>eD)L?KK|E4utR4qD`rMYA^y;U+!P
zZNjiHNDN<Fsc`0kjl470zFskes|?QimlA}4DxP>O{RAg$t&%GqE*roHNsjJmS0Z%$
z8_5+f<N#xL;cBLH24Fs>5+H9O2=S}~t5SzJpueT}uE9@zm}3@W_ch(k(=j17BWfJ5
z+*8!Y;ieDO(BFF5fgilv9qd<k*K6C^n5%!IKo*XJ_P<CzxEv?il=+4O1|xPf_PS8u
zQ(AAT<!&xD&kV=)t8zkYO}b0{upTrv39xXh5a8hP6D@K-IiZ74_FML}9{d%i^{w6I
zu=R)LjQJ)maOZEQZ=2GE?oGbhB?>QGFd#c7c;R5C$u){2Ko|C=mx~Bb;KA+Nj%*zb
zH`MpEWa!f9LQ#Xw(frqVuw)3c%go}2k8j_`CqL4GUb_8w;SfChd*vyX>c#`bLRVC8
z%jtkwTbECpA0En^OlWMC@t{4dji-Ln2F4iNh+zO8exICadB(~MX?on@f@iehdua{v
zS2P~T-lV(!tGtjJok}{(zUvFG+C$Hl<Kce*009606q$ECmG2+M$=)1$?>!I4cASe4
z86nxDjG`f;6tW^CDU}c*6{(1%@C`*NnJFd74s99P^*g_RpFi&Be(u-jzOMKC^?d%%
z`RB@Se#le_rX<(vV*2@Tq|+uZdT*sw?*AtM{&3z?z58|XuBG*ciwhru{eP&jN(f=>
zPjmi#SzXZmj<V2b;X}NfZG*UjFudN=a$cJx!E*w3<z#-uePWy(KPQ4Gs|71UcSxXP
zU2eG0%a2ge8*gGKMRBQ~PxeMM34aFnzV3(=K-t+<-#Ke>7>bpa4?2_3n|{t&QC$!j
z(e}BlPb6^uQWM#OM8X!<u)M?-LFC=O?5QFrg&>))`~#9Ce7jt7{`xy1%m%KCB+N-+
zGuu&;Nq~fx%=EDqFNAT{_moh`GigXKr>8#<B%#N|>EPcE5&ZY?L@Hyk419bW?QYAH
zaInBIdh3WN+RJYwtHsOW?!)2e29Tif{9Th1oj9br>G)j(<gnXGRp@>Q34xall@tsl
zuu9O4$hVQlNNlIR_cank6}qBBV<a(tqUPvTO$9_nzLq>ZOM>du?%hp6Qt-O_Ng|t|
zh}QX#ZKo-^2u{=t6XcZ!=h;^^3cnN~p7>pYuUr?8XDl+Jsr&vD$^HG}QzcZZskS&v
z>fuAsx~9i*8F1_^GR#j=#>$bupR{l3f%9~f!l;@o-oE4O$ktOqvXN<{jhQ|oJ2l&W
zjmknSU=UfoDzNLA=WqF<kA_7`oZ>k-{7WtNi?LNj><e<MNr?dh<|l59>&v5U{>Zw^
zO;r$k(#yvE4e_X<`-k~^c~}~<oC_RO#aMsxF(XYQJi0}Wve{4lP7llRv@unz-R<=;
z-(rk2e4kt=ekh=C{pyjVMpYCAEmRyDGzPD`m><2LA{t(tN;VBtg=nDpyOv55m>i`Q
z?`>4Xx0lTl!k<)d?SPHlkCSBRxJK^1`&SVGqZdAKD5&6ZX3CRP3sdk;r|2G0Qi7T1
zN_(%FGB`93#A<JvVofVtGD%MfkLN=>T1iTHf8X}N&~*wl9zVS>si=g5yN^t~p;tte
zBdy0V5#Z<8Npsf?MP!vd5YTRrhup4<(rvB)WAxJ&&j*UwVkgz~!$S_d@}dtrQ-Hvf
zN=+>%MQknWxsdux1{)7}N7l=Lp2$gs7jG4y;Xz=ENs@-R(0*r9BXGuMu<y2+0`)y6
zk-Z{P$WLW#Y-<6Qmt3MJuE?X2FR&{zUL2R`DzCfO1C*)+{hmoVXkKrTfACWTmNggC
ze%=5ggSQpZO36X=`^#y8vqGpDvox$f4QM-xc}eb+#qKX|iI4UOz$Yk}iPaC7&)Ke4
zpCALdH<pTW;e6O`9#Lee3EawHeynj<8hZ}Pe#&hkK;T9G`|RHos1Fa8T^p3bJ0EFn
z`)xd6N>HzSdV+!jhxkT5GE1Q$;?wOBc5aZb*?)^)HANSFW%T7Z3H)Ig64)ikiP*pv
z+W8}<Sc*RGySgrhp56$Nzyx;W++dqrnIU7$t8>HftSC-}>Ee?e8*HLPw-P<c$jnZ^
zxkeJfjI?JkDUubPUJW73uS^hAIQ)>bB!skwN9X!~u%PKV+m1uVCWyGA9<jYw5JKT>
zZDBPmxF<UPEAg%|;uR;`M4kyCb%Sus<q-?&s#lm+C5%CCr7h-v%a1Vy@wt;LEXXDG
z6dk!}1g0!0g5y6v#2QTnwuG|cL4F>~5mqC_{5Wr%Ysm*;ZHd5_d~A5TKU6C)*$|zp
zF^>|<c;V8t?4>ZxhVs!A`kS<dm_dm_yfiO%>#awUN7*5waY!{e$pE#{)~eHW1Qco?
zQ!v@&K!L&CIcp{ZFs}ac`R7l7Z-cWRn<*DcB2Qe_J+BXMvRVt55&=h3mv>4ya^r%;
zpj3vqKDPLJ*zcw%fD&-8FouT*(=P=dp1!AtW0lvuES7m-8>`|rKfwb>-O$QIR(d!y
zdcj$OhJc_=pSM}h2=I~<+LJP&i#U%PJOL5}Xha^cJoAtj>a9fs!pXXDxcP*)(20OA
z%CCg18u-waI=nSbRTsy<Jc|g<Ctx}Lk&!_+KbpC>o#XsKf~-x(OzaW?54ZEMeVZ2m
zad@aw>nsUw!oyEWgLolftk(TQMF>RYnk}x@Bs^;(Y}9?>1-HM0?W?20AS+!h-(V#n
z_AJr6G?5QVe+>Or-iRP@ZMm>|KnJn4w=(_I`Qe@_!ro^o2DkB-ee4xFuwBnG{QjLE
z|Nh7hoahusT~or$e<?b+&{@Z9{X_uiaRW4;0wt;U-tX4&gF5K3n|D80E{N5M%GT#;
zQuxI|p62k?!M!xm+gnS8kW>4wepj$Gy!`v`@AA?CU-tR)#nr<2%{(*{>L`QkpWBP|
zgQ)A+e-%~l7r|`1z-1oD!gNXf>CIRj%<VXEeIKJ3a)<d;Ms?-z;yFbruT%%K_6?iq
zcH;PSuttzgOCC}CgZ48H>VVNa(<<(|1Y(j`CG6A`@G)t0c0`<dKJsdmX?iIPWKaL@
zQB=gz2hQmAND^50UfTMsSqja9V~whkN~kNBGUOd0A(^2`Rw_;!Os4$%c5^BtPPk)l
zg@-QktV~jmn#q81pXA!>Ic4g3JWE@h(S;$O?BEYZSycCyN4Y&!!3XXcm+>?`1jY$p
z_Ue*F_#;;ur)X8EJ#Y!@FxE%J7RSE^)Lt-7$%^XcSHo(FM^V;4eY9?LXxy=rN5`?V
z7EjKqL7u#tbEw|{xqCdOGiVjS!o?W8ZCDLK<{en9F~n<YuYri$3K*%kRHWHZ!%M5-
zlj~QEU_F<``*EuxzE(Zw**mKSAHs>ayXnSwt(#e|_DT^^d(IuwEmDK30f+Ua6DE)^
zKGgZkPziCDj0;|fsv&Z$zo|Wl42pyHz|V6^ATZMI@!g|}j!>`H+%~32^xBB>?@)sA
z9hDj9a24bozh$E@K|$)2aFxiE5<(=cHzgdE(M0pnfjmZmq@L*a(h((iG&=Da(<@<0
zPnpTp5|H@Hc+96>36DAgJNj}I@MeA2*DsksN8#lU7s8bgI!0dE#wm}5XD>_Qp93Gp
z)Jh}Rl;9*bH_#9z3xP6nu+2}viJ3IOmZpg34dpvMhNZ#aY}LieWQH$37u}S<D&V;@
ztLnI=6zIC1RPb<{!RI@k>gy^%w@5rsEm|DGo_YTAtY+Yg{2|GINFH|g1;_g@h+w_p
z!9wUCfHY)NFqtEVRQJ}#=y5@8`e~4S-T~8>Ci*_s%HqK*PTCux{LqRbB&OW~jw;Wo
z$aczL=gVHl5(+PJ7e8Lkivo7G2VA~2Dvid;!{(n{d7wGTlc8Y(>=2#!$Gjv38{b~W
zYr$Ob95v}LU!vgXscz0#PAUAn|1$0C9d@kJ6~~Q)P>^ovQ<&`|ft?Qbp5%wILixu|
zshIbsaB)z4nN%%?ppuj1>PlwR(C=C+hABRQ-YQ*K6c%P&j`SW(*zY8yCtOa({+e;q
zv;tvx%Sx#)>|=zAvD1=2I~nIq_s?H35Q0QV?Cu}E3^-2VV!I!10{)#ZoK>lLBvQE5
zbM!O=Cam|*Z@xFiaxY^AYX?8n>Q0MCpJIT8mhdtwjM0_ie<!1f4>~!Ls(YFkuti>W
zIO4Vu&gj()<n;1lV!Gg;xjG~05)&@p7c|1*yN|Wn{}Mnbu~HlFVg&7+@>j()LrkP_
z&_!=20LFz;?72)3klsEfy<vdQ58ld7*YKd~TY6nyDl_V<TouP73}7C7@4Y;U2YIE8
zHns&USbWwRd-az-LQnL=x{n*?TA$9f_p(C8>XlXcVSU_A8%^>`;fDMnp3w+dc8vFm
zpMJZb2Me3<mq(qsQC*r%I+VkKF9-N7@5Sn2^`xWUV?AzgxsSN-ljp+4M7A<pRy}wn
ztw@Iuxk1bmKF|}wjcmEwm7|5a$UR3B&|}7pA19L*yd8P4J9uHNjHHX3qR8;r$Bn0!
z)7Pi02=FW0?3jE_!d8}_nU}6{V^(9|J8lPFSUwsLAE)M(eTSmI!W=iAWu`u^*vp5_
zFX}^!)O`EAqcXGKnFlu=2Sm<f^P`N86dTvAgVN5}j;IbEtk~|%z0xayRol~j-%jbE
z^F#U<4i^Ia<Ik8iNedx@y>htTOb749_1~1v6Yzb0WUez!7?;<`Pr{jW;J)uhk?T!f
zh{epXpJound96Cqg8^-fw#7YkJ;(=fyMy*gd1BCf=l@-+QX9=z2qW*e@gwgS{ic|?
z1aAEkesDKS8?jG3mN*Rr(6P6+j7Td5=D#gkv@zOHIJMngi7bdyazF2${4Rx-6kP`K
z2yHlQZ}TL(2_Yt%)jD}X8uU9{CFqW8<7-^_W$V+z7$3;fIXxkRnSW0GFEh09>-LC`
z;42YS9PRJi^Gz0+>N^f!xT_7*wT?%IGGe%yPB2PXmqS%`-?OtL+8D88UH)}e970hX
zJx{q6p!p+F;j6R`EVkA83b0G!y>(FXekDbCU*z@gj?%$*<Coc~_ELC3pKriTQ9|I+
zWEIPC9c<*dH|`RXM%I}4#Y}4M-RP&!C;5?}bNPrJ>u+i3Sv&eKxvAjMNn$a1o`kdr
zg`FQeWS~CQeywPSDvoiP-YUDIizc6AhjVYpqPWUnRGFv-k|l>O*<BC5Bzx(SI5`~q
znenu2NevoC_t*4P^sy8YerMK29+fI(e_!ONBa5N-3on-eL|YcL)@2oN;$~lu2CD}C
z1#yNZ(;Fhq*`knPRslDf)tb9(HBjx|P3z8Ngek_w>|ce7@cb&7@9v_3R^gxd$9au$
zP??=C+EfWGTlVbemCyk5(|Ge`Srde;J7xsGRDwx&%cZ4qb<FHoR#Vp@!>jD^-5Nb*
zENK+vb^cU?ul<&wc_UNY@^_D@qk7cXg_N*~MO9FOB*JD%6b$wp{u*&#8Atc9KRMN`
z0yk36U<e1$#d33^rBNBrC*E3@I4fhaoA%1d2taIjSUvcvGL;`BRT8Nlqwlyy+WZyZ
zP#<v3*;5(c{1-Dp?a8W?a-UHyGx&N}ho;Ocp`O<;Oi)J-G_Ch{s%<rci1~}%;=xMz
zENh{d<1K^Zf_oDi0?c6Bwfu(ItO%A-Y4Tt?l^32JC3S|I;j)WfK*fpzrd-can$L*i
z^hdh{%TP1iZe{#TC#C?=N0j4qRK6A{n+redX$IcctBR89^6=5t;WZW&#Gqn<R-gfO
z{XqYZ>snOr$i8&zt1Ta_wEaIkVKD<MO@ebO)hjdZr0K_X@!*Mavvy@4u(vQi=a8HX
zet+j2bfs|Nn@PN+(m84$?eb_}qRyLEYS=}l3^v&Be&Wux4M-Q*Nc<u!g+{~i!^RQJ
z2q*78B)v$1L*~n~9ApW+RVY55@S6eGYqm98?4%%JOc{SX#UMi%QD<1CgR%V*nYPLl
zl>@;~yRt>FX!A(4GIk4Osw#f_F`9zFQl!#8C4{JV*GcoCwAkYBuuSJm#)HlGPvu<&
zu@M~IncYf*-COQ$*MDe&u6<4Zo-_Oy5+l;F9H7DZZ-lxPE)!UI9$OdB=Yy?_ipz{Q
z4ZaKfNMku@4DrMCVmSwRF;(F*{`V{m^ri}I*IpUH-(pn$kS_tc>IdwimuTSWdE}k0
zx)J<lPARN}@jyRx@4t~Vv^bVx{*3jaAzW%sbX%5k<9ey`TUy&KAbxMqsipSC$G-j(
zM<%#X+_q(GUY!nh+e;a|_8R~~?VkD#oM7j;#yh1&59gqQZn<H7n0NBAy0>%S?AV2a
z98L@{q4`*??yOJcL887J69-%>HY?6&G9o9a>)`n=J&Zp-{<-f2J4h$1`h6ytz{R}W
zu+LTxI$BA)Gep@@%yz?5*qH@)FNYiS_2|OvX0=1yS2i4-WN@J$W<_=KZMLtjy11lu
zA@cJS8!}@gyQiss=MrURF*HfStJI}R6Bc$jNx!w&FyjQ7>xfp@Q4;L_R-d<aWru2<
z^ja7<H>^HemCdu0aOtq3h+ro>=uIOn+qifT;}hhXPUZY5w<{0+?d8DDAK8aFqzFjZ
zc3JzKtqyA1-gaG6=7eZKTwJ0#FF5|u%&9DDW8ll8=mdca8=<lh0mu2^79ezcx>Orx
z>IBaS9&S)d6{Kj}_|eFtdMnCZ8;Z3*rkE?avFx77QXwmdOTnxbKK$CKJT{hf(whgh
zSHt>?3xr^%`|X?Z5D{J%i@)kn_rbyTyP8)`1V=t`lTylw__^L@QnEror$zBjj(4Ik
z9!>tN9!JFZFDXCsX<pd*5%PVmh$DrZ@nhYW2w%r^`=T#=&}Zd{Og$lq%hRF^6WfV+
zMT!*Ep%cLVsf%~}8>H}Cmw)i5IS~;)MPCl<2txeh&}+G8(ijijw%gvCNacrjpUR?z
zP;s2xruI<=GJzF57T!cOrVmgy2Zb@^w@CcGDGML>6i@90BCcn|{Bw5@MeV|!pNlH;
zI4PDga;A=m7oI$lwnJhl^v~@S+pU1y>*e)*n?yXf+RL{bBLU6y*qxWIDB|DR@%2Pc
zZTO@#R;&w2L4nPG>Ha$<(4_w;=IN&PY_MIY<fat5&E)x}xKt3zcu%g|mFi8&f7bub
zN~5~A!7B%<h`FNT*1DpDD-Qc@nulcYO7>5aroS3IR3_AlYDs8aXyB#mlSO=nn6K0!
zb<i`JS)NYSrS_|M>g;nloa`(!S$5ZexzN=+KO^+OBCEE2tzI6HcxiV{OcRo=yp5qz
z`uJ8WSg&_e0j4#+-mO)d7}+CpEdQJV4sJO_5IwC3N>l<xh)xT;GM}iA)*FJsPVx1B
zuGAdnYLwr`p@oe)KiT-7MyT?981t1!86zQ{Uh7kuU{9_#JFjAb>yoirA=F-I+Z-6^
z+^vb>4$B(~d&%GrxooVWqXNSh?zO~B4aD*3{>sZYg}G}jbKW@>%nt;YHwUXDZ<a_q
z^_YT{lRK+M+f?xOhAeB@x+*>l6|(RK0=J6vp6Ye0K<?$r>>Ya*h%((fK^UU)d_`ai
z-)$B6JyD5h*slavZ?TK}$YwCVd(OhmQw7#{1jEJmC}5}{#Qn_~GiX&9Ty-2(1}kYy
zEDLgIzhu0R?wJ{)E4v>(G*(96S(BIS!ZL8Nc=YP(XEWsOdpr^op@e0_+Dj!1lF+R6
z5!d}~2D&6iWS>!l^{;XJ>M>EQNhzx+&6;81>*7X1I@MFM!uk@qgkbLbUNNG}43jLb
zl{X^fF;oA^?A3Wb96NTKJG#US`fLyNI(EoG(k)@?!eJhq7E%s)v)2qR^XGRh%gW+4
zM^UCk00&$-s>Ow6%rLwdMtZO$jd<sxq=I|QIQ(BzQQKSKK*pfzLWdND#uujaTIliq
zLGut-BDH_hX$qHZB#~b!d-(ThTBM5RC(bDW+I)N4|Kk&fW<k3k$J{2x!L56SyO4sc
zyW7MjRz=``B!7dOZjG{3z<kwx(iE>emwFmEg<zv>#StXCO!4F7jDD?birM^}78hz>
z@M)F`eNbPbRQxqy5ez58w%BT=^dLVn9~X18(k@c2pL}EM)o6mH1pjw8hj^ivud&TF
zZh_Jel{*;CXo7^jHC>ku5ujbKZL&XOff62nz?;j}7@Ajmk{RWBFeKedisM+MoO^Yq
zF22GDK9f>k`DwV3T1_A3xv)riLYw8!L2Cr{_K>rT>m1PE&SXPU{X+?vv2q#pHiSed
zMZQ#@9a}c!dXJPZQ`#e216Z33P+X}pRDYipD`Gc>f_zpf6%2{bbEOSnx+83SBA5lg
ztiBa3TdY&KJ>oy4XXqp2`knAcuFP<iKVjqRzDb!f=cpZB)`L@G8STt*CfwflVb|-6
z|0oAFh!wdZR1SP&dvyoZi_W{-1edPSpgH)NPR*z;g89sd><)~0<CXo9-*gK^ZauTp
z@YKb+f8VwEbp{;S`1QNw5*>c?yh!BxKtkbi@L}(M2D~Xsex&h_9&PPc-yiZO;qXbW
zoQggMB-QRtmyKsc+_J?Ln<*V|J-ns+e31dZi$h^{0?b&@SW{~X(}7%iU``O35rIEf
zj9$01fO+SWFH^KSFdU11o>#$$w}v-*l`gVjJj+z<bFMZXT39)^889KXH3VF79Jrm8
zBmGTV8-)6DjiRqixT<5c9-G01J9=t$8gGc`N${s5wJ?KMDg(WrxN)%0E_~rQ5lbU6
zOP?OHV6-J^C5V*(M*gt$3^^ilei=?u`dLxb&Dq~#$BTy*8?7$yv`|aDMrT1_N0>`*
z+|4pRET=!Y_bf{boz2ZH{Kq-arJrOtB`knfp)#s_9JEmINGMg5feSo>v2QJI3BrHr
zjNnUtEgZhR=SGwdH}3o7s3hzZ##&U#E&onU47eGdzirQhW4Cq@wZuj7k=d<b@}wrD
zzsL><Qa!7|t-tRvqd3OwwZ3gyXyVVcvRn1xyy(mQo4J)o5<j*&B~8d^LUG+<I=P$=
z2jo7)J}#2NoPWszr-&w&i3NxE{ox1C@S9^#pG)Hy>+G7Nx+X}UAKupV6U1w~X>!n}
z46Nz;y<hriLMEc*Li~gf4hGspPguyoMWvMU^8;$W{^!?ImmmTfn;maHT#?7;=Tn?o
zLR#?QRCRu1C<c!`PGRbs3UDj!x*>2t3u3!wNZuS0IGpdjI!NW^=A_f1!~rclN`G-j
zXH61*K~INYd{73<9fgz(cOr;!Y8{6Eq!4Q4{r>KDRiwUeSmRzMV)qxKO$nO}gn2z}
zMjxobiCcI1=zVS6oc(ajK}r^jLv?p8xHTYZGO0k5se}5tmaHNpIXo_=@o?CwiTQ5p
zl3mFp47z!Q6W!$TG=fx|VW@>jiJ}Q|fi430{~nqMS3pATqnVx>EqqabcHOU657kkN
z|DL5NLXy$-f&x1cbB>1p(MT9zMqui+)>$QF6xX?Ir*c5wk72{tNrpIR&G7b9qB5ET
zA9#c~5RuTdm#ur*2qWXe!NNW&$hq=Sp-PpAG;fzs95q3zr-vPzkSYS-w<vZ|=gi%0
zuh`meGC22?2NUk9LcgzzKAAdCZc{?OH31aR(dD+O^QvKmGS5L!qRzoLvR1Dj@KFAf
z!G3Es6w3QN4scb+>_T*M;U-Wibn?74_4&h{w`e;^s@UCcWte>04BpG==HyXB{te}x
z(6>tPm~N1+{bPoYGi~&%rK(sqp4BX|QNU-*z_~NF=J2@`z-UgRit)mO`AWBCp|>$q
z-+#&+MQ5$w(W<N9#-Z}*TsCR^Sz_N_Q*4fs3}dTl4P|^kly>6(|K)=By4B^BnB!hn
zmrXCb68hUp?f)7Ifg#$Tb0N(f1(Ta2UOfsh=}WF|dCLncuKvb3FLNku%Vs_rBM<ww
zuipzhxG=nW=n=oTIcnogiYG+n;3#8%{P{F9Wd6vyuJ=-V%K2OP{6iUxbx#|(GSETp
zufH+ZaWhQJa$4!_ltzi-8Ida{8<ZHK0f}HCGsr8(+0}lR#P{yNv{M#~l%{97GL^N!
zS=vcc(e2`>vO8MJ^!pp-iHs2^haJF_|L8JDy9h>~Ygd>!O;F_5)mD<)Dd5}k;1pr6
z5cr}yBU#S8qwKd0snl6A#qXqA{ta~jutvxy+E;Z@X0B~x<X12SM?Kj|Oo|U@#kWU=
z8~jI^Wnk!!_9Wwo>mkVmG694p)a^B^qFj^v`hM$06PP%h^ies@jleUrqleQgC}CRZ
zL4W#;!Jf1yH+P-`qHN-lyX5avmffoM4N|>Z#Om+;Zz^mM`BFE>f3b;D6k|28#oGv}
zH3?~1HOy%A-o94)ww+?{)mk4`VF;%1UVphHMmX@klkRfrqlig6>}RF=&Rmmj?{Y3Z
z7@o5V$xRGUl*iV}Dt8)y@X}gc{pS{tOg^wi{rX6mR1nnEsn$o{Yvv2z;%Tuucbc|P
zZJbi(*^_*PM;|GjW*)KDG>8jKnl(wDq7<%M*;z#C;g{l6#`DvEDR<kJ40M)fC^t<k
z>rRd9;xcpd-w%Tu6c74=QxS>ZD6Z!}n{qko;%PdITYUUFWirpfq*?kGMeI`#Pe&^W
z)!pP>jS*{<qLKcx?1R546ID;dat%qi{!{Fi^SxEd(4MJM`&|o^pCzXV0S|Og>C!s&
zPHmO)ET)Ia(|(Ea-|>835gi>Q{0=#nH?u<FnckmS?zT+nu;Y=es?&zk)$eR~KCVzw
zXJ7Ar6tzkTt0$=QnrP$upVq2jhE>Y#&4QG)nsth$UY3!0I}vM-uP0OotWv%bUvy`%
z{H4S$6|)$)5FxgO;_0@qO1W5f#l_Z~210b^PnSMx;g4oHp`vz;@;GZPV(}s^{s#a6
z|Nj)1cRbbq7su@p;o3Xbx?Jvc@3rSWTttK<nQ17I8DAk9sHiBEQZgbk8WgGUd8aa3
zlrpli%P4z~pWmPF^LYR9dY^ON=XIW$FNzMIKTUy6<8=|){8jqEl4{rWH5S-cGj@1H
zm;&XI$~jH%*62>f7@xvfHmE16{`B|OfPttV$VqgAUbF1^s9%-?!bV=^2^W&#={0GC
zm5fcggtg@p{XR~xOPburF+&21E`R2mhfF{?H{H|nmK##9H=Mj>u@!fg_PL+U3^Tc7
zG6^j_AZ>YvPwT!q+)YW~=6}Wl!pnRjG2DER*s}leVJ>wjnq+o(J;Vxb?%(V$=nFva
z5&O2r2sKc#z+KPMVF#Pnf6E6GaFEm5e2_9ngkQNGwKK&W;PkGp3+4qu{$SJdq|-zQ
z^E%6`Y0d?@d_JG0&I`k+w$Chw01<}UZ1W`8w}EWW-A*<QQE;#+)>tc7h4njUw`WfA
zz}^|Jf;47vuyJaCC2&j?cpV(>4{zzSIiywTvMK=qOpE8W)l^|YR`fQ3C;$^>B&8-<
zX()U@cJMiyDo{HzLyLTIAaurxQz1|m&VE=X8qKS~>8h#+#_t8eJ+#{*|35i6;2u3Q
zv8e)A9XC22m<U6^TG2qmM?ADUKK*z^MHO5+E}LC%7Xj-%0^W7{3h-uQXV<%vs(=;m
z&y7tHgY&k<gS#<BNI4fd{bo=VM7rk}YXc;p-gwuI<L=5(SLUOC_Z$(1*o|A{0;HfU
z07sDGRe_w9$or!9YVhV|{qN~(GBA}@SE>C)6;8N!7WnQ{hr$@oz=|I`U}wT+HQPNk
zsN4OFTi^}}&WL%w43ou!Nz-gG^GOm+gxKv)RM3D^a(fHC4#~shdBLg+<{IF8X;yi4
ztKXUwWNscSQvkIY(vx@b6ky}R-?U1m!cy(~<O4iPfamUL!d$6f=zj)x<^v6uxb$<G
zPAJ0(yHolU2^vU@?7XQ()q-O6-s+DZ2+-rts=NM@20nyF5yv;$ps(;HX<k7UgnYOP
z9B7&#+28-;@+n<7s=xT+WFQd+&6Rd5M`(h%Q}Cmy-TDwCnMm4^s|H=JmCuD^HDN|u
z`Sn9XL&zA_{l2|i9Yjto3R_xf!r{cE$w4h+$QSmjWw}LyuhI^=3GZpprop?YrACJf
zTvO%3mSiySIl^hTw57k>bwc$LK*jbBbH7S5)Qk<r`3zFvicA!GaLg1;B#Hz!evx5w
z2Zu<8v<6sr{aIgDGXr0d&qwXwkb%|wIz5eB9oWuB7@4-1K}BNRp22-&@Yv5HqExB^
zJe10(VRj5qco3>{Hirb(FRzS0QdR;s)8tPBc?{5x{<j}jpblYl`*3n59)wfp&74~p
z5V5}3c2}Sp6pbf3i?~TcPQgx<KR+1Y-+fVTiG>I()$@wozeS+b;!#{`6$6|<$?Y=^
zQh~#ADap>;1)#Oi|9fH#17<&Hzd*Ihz~M4F_p**1%zdJra)=DLPFj5MZ%q-bm)#}V
z-Y(NIlg#5K@6F&@DtDo`mIAQgwzFw<4byXJVt;T>W}x||f$4N09$ZdM<S?z5VfdJg
z{@9<UV9t*6cO2UR<$)7AM=Xc2Z+pG=w|baDqx`neHUVjHK>LSBeoterj<4iadjN(E
zJ~gC_hy#~=2@+#0Vp0Q99m)p*dKCv`CMQLJB5RuM!n%qnIjiDInzrh7+bMXHC<I32
z&!b1e*Rhik=e6cLP2fRCNM&ud0C@1d4M^+Xz&dYKj~dSygX61fgH5-2AwBo@+b8EY
zv1duTIctK(U{12RobAO03t8pbPcLu9zXWZV7#TsjHuYEOH8xN?Vp}Y#vWflL=UDS4
zz!2&PssSnr%rFu7ET|x61C#r(F}=Ic03>TB=k6%4(Ye|OGIu^)$2jgEk+%7*53lM8
z9&u$0^kyp}=Thw&rka`j%#NZDBh^PJAKRzt?(gy<D_d8wdA@IG@QfZj8=4og5gw;I
z2Mefp&aGfvlJi5Et-9bXbw)-dbda9uZTa`8+6vaa$KaPJSr-oT{Q8oApp&jo<U5~!
zZW)_ZO89R%Ne6U89zQLt_&_f#AMCxcyo5P!Ua(r6(T3ZR`!%?Y9?<<eNEeUZS;8Xd
z<|>~(v|%OiZuy?l*O;HrP|A;^OBmj5Q^@qA7Ub`*|HvcQj4AaFiMM(#VIh_|>Ua|^
z_~=kH+ve7e-7SAeu8dp4k|Yhw%_=m(-}#P6&V^nqXY@gRbjK1l$bERnd5R{8?kjwp
ze{%qn&cKpZJ(e-j0XR|fga)=(LP*CehOv<t_S@`&D_HK;f&Y4FTmQ1{Ys{{vzp=E$
ze~DL@R<P&X{aGJhQsKq0F#o=^am?{FJbr~+!}>3aT?jX)LPd^kRhr*l%sIeOhs$dn
z%jwUaZ23lk*IrzeSvgbK%)x+i+kp-2vE$X2uig~6Am+90ufPnZJ$(M_h#eEk(NGup
zGp7M`=DivES7x!+DdqsBUCc->dfewEK?6L#Yn^ozp2y}><g((uSx`kqs^P9fWH>fn
zzBu-D0sGeWTKR7_EAna&nZ9_R1PWH8wuM`H^s6;Ic58zTZCC2pV>_-6aV??KB;6Iv
zlQWCX9>;-P@f8`L4b|bc27kQ{aSh{nMNZ?Va3S9#xHbD5YS2#lb18$dfkikgQir&<
zp$FZMACl&YFlDj%m}Jg`%t?j<+&ErzNW{~>^8gWg4?la+bA}m7FbH9uwtPrtriNwk
zt137pq>{3~v!F=Xig#DN1kg7oWvw+kRk(7LUDd;i4Ly>y85yp`p-#(N-5YHx5MW#O
zlGwwJ9L&2*ipWBU=>YS}te*-TU;jF7pU#Q2>)mGknuHNSPrC2_{*x?rE6DT|H?q4k
z$l8%8iefD#@)utd;I)3uV167Ax>1;0`}m|diU`pj-WyE-7_%L-#kQl9u6cze7bOus
z+2xCqJpr^ArPU<F1W*w3LEV#$(&*v0Hs?590<c+CAJ_83A(hRfB!7b)h)mk&-L(}T
z8QlAvqe~F!G~SbQ_$P<D26C)_?j>x^ORxLsCxp?(p(~vR?(&FI9$tC%8UgH_myN#4
zh@ysj3vs&r3P?MYP<ZDb0c<F#Mki;*w$7*LhR-RX=PzW)_K_+OCzbbXXi@?lHBGML
z(I+4$96M(QO%>!a`D!Kkq|p=gkz#vJRWzS<^6e&`2xC95{B(1YMStlbnSVx!Xj_`R
zc!Hf81aQ2XXF4c{rdd$5^$&GqmdO-<4pWD$m*h{Gg?RMrr+v`N1~NL=({q*_O@`iS
zaURD_d6d{HM~ro&pzMPU+lwtI@MBh!cFtQ7xy4H<iCIxmv~&J7M&wri4=F?)YgIy(
z)QZp|MH<@i*<82eCk=EW$8?u138=xh*QS4jhHh*9X_E8Pf`)rmPIXl(NI&<Aq)EIc
z3J7cc)2O5a&!=N%e#jBgU5ktRu1#yAf}37L65M)QbGf{J_&+riP<qa<TtN%j?TFMn
z#A^U1-kbq3kJM2zCqC$gfEKctYL<yrGy+9y8RwvC5?U?_96S0{6HWdTj}Ty(z&jVu
z{?J=wL@d=+?%JRse(R3elWG7xqXS~Ini?qP=8(1N+Sa?KKO|-;n?gbdA#o%@1HH_-
z+(CFuK_{*z8Rc@D0ZaDl50%$6kc&v?$|n;tTKMcEH22XA@|J^d%$RGSoQcuM`dT9D
z92Z(?JH~*S?Bib8Lo%uqQ0%v7CZH~Ap)zY51O991tDLMQA*voDmW`}{YFG7pIK|BY
zQwUuuNmfVL(6Wqln=E=avxn7`Y!1SI^v(?7)sUl`aNz!DVyITaL@!9%9GY)wHyn;v
zMc-^)c3&mn5LdtJ+wH#@AU}Cx??4>^b-P`^V^qR{d>J7kNw*kq_&xh=l`$psfe_Br
zX|jxoKdutHMP&e)xBCKvLlOOr^&Y+a;TIMxmb@*Z+6+XrELm6a@~Hg%3R9!&4?6eN
z>Vhg`Gq|X))E!|dhb+xz6Y905=&ywa<Nv%g1-BPoW#$Xg$i$DC7MHk0kENV(yQO6c
z%I*JM)x08sdUZn@n9DZk1U=_5_oo1iItP}QdqvT*Z;B~zJTo*rzLl~`-ty&78G6G`
zLdYcgUBRAN7LdF8Q=V~z4zab7RJ#-bbm)kk4E_r%Xo&b7Kp`ezK!~p76yil$LEa_a
zx@>SOhf{qy(HJHzf4i+maH6okH*=<J*<ecAh&Ekf1WkF8qZ|&bD22sUtdhV6>2f)f
z?(K%a3qw^S3Y%E)gYO#TZdTBd>(Ik^3?b~BUTkyV5+?O}TlTLgR&cqO`{at10i;IP
zIur%ZV43!PDl-DCVB7kDg_NWZO<L}Ow$w4~b%+`M$wL-Mm-?nH+^GjMy$0P+N`7Jf
zbLDP4yI8>UpIUT{njS>k_7?dZXu%fFEBgwsGDGvrB>rddx<CoEP%%A~h8Zug?b(Nz
zp~b34AbC&+;!AsWkt!PLKGif9^?S^4a)Co<VW$po+<DWjlhQ$#o@9A~yTJ_E;<&Fl
zW!fODF*?BcwV&Q~(Zj2~fEn)eH6+{1X+tdMwz7b}5&GE8F5QkcW_WC6L2ORbf{48G
zUFh;S{e1N5pu7?baJ!8dEbwRnHHhy!{`WsR)35A^yQwVjzKMgDpP&gW@mD-z*=Ohv
zobIuR$+1GSs#O}|)`a^h8K{V5j^3_e))KN+uc9N*P8eLHfw;yWgD<o5^iS_MymGVH
zU@|70i)(97=YO%BmHlgxuD<KUtGX0+SXK<3P%fl`q~M|RyIYp&yE;O<l!`bYe%o!<
zOnoZUY;Lk=HLcPgc{n|C9^r(?Z!?9$S}5@BsTLbs>pJ~+b>E_b4L1lGw)?$1K>@Cy
zb6U@5Ht7Whk1pnSZiCRhJDW>*C}3f>aMMGK8H#wl9va->g}c2IhYJsCK)1K{a;zl_
zDBLsQOpoD%>)Z(rgU`sY&)Dbu+eB8#KH%KtYAXO)k+Kn~I5K20{A<OB*udcEvQS_c
z4peI*a2`=4sCHk*C%A9`!s9KPs{}!H-X(_jpE_LpdT~Etj1z?F%R;=RgrU$<Pvma!
zmS3;<667+u;dX4qA}LD*f}dEmQJB=B?(k}Ac?b`%T0VJe#1I3jdF(%pY&DP$H>uGI
z+zuNjidYJGB_O#)fnv19Wf%Bs1O;yLgP?S{{mC^+I99^RFc(w<57(bDJ#zve=Kqj-
zNmvHN`G*s(j1hr0aZ9pYR}f5i9L^*<?*KYawbApRMCdtu!h?8IXp2LS#&q?|!JCVk
z&P~HaFpK32iQ*H1XX_KM+{p64<hS9llV1&j4cPOn9*9Dum33|Lbp^;=EzOX3-_nz8
zgZkXWf#wz*rNE^Gb#-N3O`p}EXM0_eK1C8<c<-Qir76R~yvRnpzdEcgmwEIkNdr3n
z+>D)~0_XUTQ%)I@fbC1nYNeqp>?-)amh@8<@Yvy~Bc^1q*gW2NQcn(4X3P&TC#!+C
z*r|_MaT=g^SlH^#Aw00@32;|1NRW-M_w0$IKxmoM8s)Y;B>bGh3Cxm#p~$xTpf44~
zca2&2bSl96(OpNLSW%#KsH|px7!7I<+d3=AE5Y|EdA<QIDm=6}d~M>vR-YR<UzQ70
z29vef?$UB9M7py764=<{O<l7B<|+cLwfE&V8q=VlC(c0Zv<~zN*{ItrZ~1)W276d8
z4Yr-VS!W}m2gRwLA47>mNPjZkw)&k0g=fE?$^NDfuPHzBa11r*$lC}BZlOWC@u|qD
zEJJX$3UN?1PzMe2agLZI8l1aJ*Zvq{3<r|vz1bXFd5Um6YR$EEf8%NPF*+TJ-@l=K
z%q9U&```!zs8H0U*my7+Ktf3OlE?-Ld|2<iF4m)fn5eVZnVqK4{N7poz7!cSY8T_c
zGzmW0M&#gDOu;{;`(O7Q2^|0UmFS47!P6qAG^1oQP@LOyr!Rp7U519&msSX%>9TgV
zVbct-MW!1Wo$7EP?XE<7jUsT$+uVt<Wq|8)SjzKpH7L)|*LI1)gM^+{y=52!2!i9g
z^y-Q5`-)|~bBQ!ONobAVh}cq0D->P}QH3w3>}&*TMB$n3e2>rp28f^ia%**o0KHXb
zqn_-=!Q8cW87>tD<i@;bD>$kQ_~_+bQ@q@;=+19G++_w0W$eyIb&3$xd124dH%#!G
zPwMfTGiE?u@iN#gt^ie?{Eys|X6aQtqw-!NW*`)(!RH)|hs`HGhfW*(qCdp1&5z}o
z0>^8eaG|^%KsnVYoy7SRGc!9o+Cwsh4@Os5L*t}Dt>bym3-Mo=XTsv|`3islvR7Z(
zWeI3W`*17j&KPzo?Si<O2>_A2@tlZ>!h&(Tef+j*EF$a3$jR$;U~LVyoK+MCpFMW+
z^n_W=R&JJ3T4Vx`lQumlwK(Weca(X;Hji1pm54snWDI$&a!sA0{IK7x;oWBCJXX1!
zXQ4S|1Z@ohDP3YbAQ?htw11h$$}hcjc9%5*u91Jl_0ybCd{KQkGHf2xm^_{IWv?Mr
zg^ynLHDLq)?;|NzO>>xVKYO0@bp!aMs`qb?D>D!qOTGmEp2ggAJXZ2s^?_sCkCEF~
z*Xj35=fcZIXRuH6ZZ%#q`tYd!yDO|O(LK2&Eb$%F*zU?#SBU|7AWbj7!Mr#}H<%`t
zj@M6Nc8$k|O6qi>ob&9rQ~uL*4F?(g>gj)2tS6Jwbs1d{o!58w&7GiMPG(R|5+|`T
zi4mqNF<X1%>TTm5@+kfGt&zxCY#jS?t)YAWfHtJ2=ZBm44bZz6KV*m!#;{4<2UlO(
zXaidvX?0I@H(j;w+d00szp+WRSCx@3wO~f{Z$}^L2VL2>N!=lR6#Fw#x&64B7Bt0O
zhz+^?nf~KjF%0L9U^=m*=UsC(;ZlZUcpRgSp0{g|`g3>~a}*{=6QneuVqbTx!tJMY
z)AujZZyg%OBGg$)Pj1sdK;1y#x70~&!g!%mRe0<E@qe=|TYgu(mReBBUWP@)U$Bf?
z8^Z9Lp1*>!sBk8EZe{H_h6%4ob4N=IW6~YzyF!$y;M?CyShA_dmY0@7?fr%^0^5Vw
z>M{y+ZF`rUbm9~CZv9HE=igz>F!EZe0Z`z@%Z?Yk5?`^<(F=P69*kh*p(6RxJPr6^
z!8uXa(~4D+I{7NDjbeG#ja&<#$WWW<^fc#s8}>qeGIaFOZ|wEi<9A7GBuJjfI_GTM
ziSaqNNzj?cuqbDxT@)$_kjBlSH-EdZv!kQ*ge&8iWza?4-V^Fjd#hDe_DL^RP*FXq
zYCnmMUs~8JS*iw)y>*tv-~GZOOx(Yb?f+r&{a3Gkm?pvx?>k;KrUTfoy01Zn4O7_Z
z@>0GIBO+|Wx7QGV3}TAT7c<wmXE6WQ5%)EcRKXf|q)jkx7^8HuH*18<Vq-=!JL(2h
zVDP)sMPr9iY<GbERa2&UjDh1@k2h8UNryq)UDH1pH~ElC?yCi?C?}04^d14+7;DPT
z9^+WFqg$I+{t|Xv)88S9g#ZrOgr?yKlh|E1p5nuAR<N&g6B6D2%J9wZUkSh96ecq<
zlqM;*j_C)i?+)%(g4f$v0`mi>F=v6GJ^jU-m_KI<%h5es{uUe6FETNM@klJl1)4IW
z*VA)>{T~&9>wdbRaPl11cjnl}-)}5PTOiy@%2pA=zeMiKcUi#PIK``8Cb6OKd+y}8
zep7&!<D&^`4og_E#HaM7|2PmOCERQ2fC6wP3FbsZu3)1N3N_$57s_l(jr5<92VS8<
z_vX$u?4n(h<IVnUC_mqd!#YVGu8sI|%!Y4br7iT~kf80T>Rjj{3yM7OtjC_Zt;UQF
zneomI?hruhot}y2-FO%!n@Cn57F0yv+j_1PhYSy<{_{-5Lzu)4rQ|bP{NB*gx^Ykl
z4VhFdj_$=nZIgbfrY{HTx}F0prXpxZtmmP4c|7dD(3Qt^feUSXyvF73Acl5Ier+Q&
z;XzuJW8zKQHsouk=rf-xfi~K9H1GZ=2WQtknhqV=j=acor|Nj6k!G`N=ldBscu4=O
zCMGU`(#v?4Z@!U5KV&TR`T6kBL{Giskc&e`p53ESKjqM4&H0es7I<jm<qKDK5JDPS
zPS?l7<k6Uf{(#RtJm5YE;yef<=v{gshdfmg^&+8uytF*%;<B1jRmG4>t@6&3{L1K<
zU>l~<C=Y8V4!l!zl|VWJU59D>D(GP`rO>=c0Z!AhtY=<GA>(&@dtJ#y<QD1YCe)}1
z4jldIJ9f&VFRu!J^Z2Tx^gGfQ^~uVR;+0`_FisAgk~Fs4{*sLBUYMNOHbQ`77A|&G
zD|pl~KuEcHnSx}O2U65lRDn<E<j(O+3TQ}-UT0TDMKAmAsm_F{gJM|oPaYK|WH}s_
zXxu|X8{G*~VO|<gS9!KIr%f4Ml=Cfk{8tmbVo8kMagYiU`TyPVNK!%SOhW&a^=Tm=
zzdZXc+pRekLrfcB5K&!06?P<78+}YVttJ+x4W;Euyv6_25N|KFAzwiURc5jKFE#5z
z{GGOTTs#RK3wO;lch*7wUTXH%?=yhmlCSbrGh{UO%2c|HsDpO$t_6k78-c<N-`9eo
z6f~IHewry=8!eByRea2#!_GVhC7<gQRFmz*$)Bc$<U+nKV8W)*@^p@m+)qLMJnM;c
zMNL#WKCmmp+zjw<6Vk7;P*G(8p5M!fiq1HchvDrRP-FHXIB$xAI{O4(B>9ukHZ%Kw
z%PQuuEem_WUra%Pi$ab@^{R+F-f;*1gE<&_)zFnG6oljPVqX2Lh^lh}{QAij@OQI<
z{9?NXI(z?xzKEP03T*$%zum<GWG_giygW`qsrg(j@)BZboMkxZ+%5}fJI)VX=hP6h
zcGJPRknJc9Uo#=XX94w+GqKJ-s;Jp7@%Uw@b?jrc4QXGgIcU6Xz4U-YKv$F36>ToG
zU_TH4cblkT4o;-tYt}=GsJTcD`&c+d?;-gw_hmDnnqF=BJ3}5-FNDO+Wi!E$roUPU
z2Ll`kH(TDj$)VydH_mKMPRO;ZR5J241Ggxp0EI)+DAlE|qvj(IGzZe8Rz8`+!7jY;
zZ*y^kdC6z&q4I;!x>CjOEgpCIep&a5pYRr^X9(2R2!Q|4_d%XK0Ch#tW2jvKxhIFe
z9SX&PNAW|qaB+b3${5!^86H$QMR!qd!+}tqPO+pK9WJ*Y+xc+^JL>Un43AsI!H?m9
zr*T>)&<kCkzaHAeT%Jof;1+S<VDen&w5>5Loai>#NSnvr(T-a?cHp3-F2I)Sq!DBh
z9=V^t^atbg(0X4~f`fV~<r<-ULtqNY<JJsm#aIihPq#(k06WfXda>UCnA8{eAHID<
ze=BTr%4atY?7|;3yQvxgU2}e!PrjdSIM`RIq>6*Lk8G14M(KlXZMg37OB3|2MWRr!
zAP$i5HL1eydQjvLwkdLKmToWh$|8{$2X5DLY@g`p!Ctbu&qv-Rx&Uo{p+f=(0vi55
z^>cI~Wsfnxh0PlM%XbmL8{t4smcr2^pbG)%xz=qGOwemzrCPkjeOJH54_YVaK&V#V
z_P}vwaJ?g+<^2u^AFe!mZq1<suZ#0tsrOmoR#l}8hq@rh&UM~?eOVirmlfYyS+K*6
zG>^TqrGk)l`%7u6h&FWPk}mD+;sE8d(f<)Fgy37&ddc?!E$DZ*8PM_L0{?_()YL^G
zs5xaJm|>y?u|YC=_ZPY0#KODE&u@jnuJTzGSC1y-nvofK2|OUC;bm=GECLdY)d9~~
zO@L#$C6oB=5EXp0G`>U>rZ|aZLu5@THrO81*}w-m%p(`38pO8t@ROsf12i~4@{mP`
zE&we@2i|isNq}j{%Bn~<4H{duU7jf7pp3!HqVFULC4c(%zdAyL5w-i(I8i}BZpx{>
z@1&qE==Af8R2t~AnK5RCg}_^8l|*rrf$G%8Qxt9*-23y>tX^IiDDgZMlr>qnmf|^f
zVVnxajS3IjKm_IvzwNg<BnKDPI7NdxsW9DeLjXxYw!gz7SQH`*Y(3l^@sMs%wf%1^
z6)3`UmQ3YhVERcitkgjs2zp<3%XU-YhMd34D-H>e@uLOXyDLDnKtMBXmI^Z+RI8pq
zNst$Jj~NSAgd5uo_nwrbK_nfw5j7?SYY7HR_pd2|-qPS6>RuZ3lW$HNM9Ki?GH(!j
zg)$uYwfk>l77e5mVtUObcYyfS(W{d^1ZevtWOR9h279FKFA5)%1MjDIYlApcq4}n!
z)}v5OsQe~>`iLbS#+ZX-8&tRW@A!PH!KNlKQtp1pP?v{_D{8DZW@=DI{Z5?8)q*k1
z@@|W$0$4alI|o~<gSkDrrQ)Ftwg$CNAFwDw<Y1p)mo5pg=&z&#k`7#nc3{_@RD|Qc
zed?Fk$?zy;iF8gx7nr)Vr^H&7;2P!c6nill!fA~~b2vSS;Ts!1@l+Xpee62bE3E-}
z%`6!<a{BN;00030{|r}mIM#m@wfEk8@7H+k?R#EirD23hQK?iaQc`3^$tXpl#jnyL
zG>DA%t5TxOGLo`InGIV%|DNYQ&wW1U-h0mHtTp-F&>y1?=kt6YS-kYnu4n%2rIiJ4
zXh|IYN@yVYNx}8~>-F&4^U3(RotCH<-O+yKy9RX6U%YpnK@V?q+F9F^t?=nIWy~#1
z6Xnw<mHqbVVoqv}D(@3(%(HKCzC5UjDPf@;qeLBOTgIN`YqUYgQ?A`1dRnON<9+wS
zPaCYcf$uJM64;P9v8T#I3nFgs8{YlVLU~U}-rC)OmfW8m?i;l5{iX07XAeyjeFztu
zXapuA|542pwJ^V4P`cu@I+9Gce7L1X!wswP0Qx&kgy{-cL}jQ#@T!US)%`TA%wH*p
zchLk>FuD0hx-y)1<t%^BrlDj-aKQJj2KcUBh}oK^h&zSMT#nCZIJfTi0HseI9eV}*
zPwC3z$IUJ5DKBWSNE-k6@Shskyc+kH1WLnL@&#B5X(-I@uvcMM!>xkP^@;uBxaKf$
zASI24cb%U_be2^BKbHGO4@F?GX<^ngfQHhlkR1OJWw=!r#4pwfqRZ-D$ukNK%$(8I
zstrnzAJ89MIKzjk|7QFdM}a+gl=#R;iV(VLqg!mmh4>pE>w|9sCW;I-y_XcwocV3x
z%Vjor8-2)TUJqn9nc4cS$YDNJ|4w)=GoC8k@|c++a49J(mi9viXSIZ<tQ{Gl?RDQF
z)1E-*(%E$>(^81Nc=3Sb-xb2A@YL6B={692lw7SLDv2jHx3)|AED`?9>9!_)){rTE
z^!1yMID)8$rlc<~5U1;B+-~Yw<L@qMwa98wu%@Qbye`ZW?5Vng&!es2Ia91M;UI$W
zI{AftlzGC<HfPDF)e`M7@1KOs2w}aRj@{tKd16m!$}?#VOFTX8OMgrXqKrMkFnnyD
z5IoPI9~5hW!T)TIjTQ@F<3{~iw&4Zh$%VXK8DGtjWFRob9M6wZsVHiK(GtOvS9qhA
zFvqD9Zo1D9FAO{vS?b>{6Z)NvY6^K~$Z7giHyOu++HbVoZrA@2G2S)u<$Pw~1yNVG
znH!9*w_PJ!84w@*VC80{DJm8tSO)fR;f>W(=53RV;E5HS{xV^L@egw`o9=N!SAF=E
zu`)A8hfDUJ+HC@p;hE1nBsj5yspbI=vY@9pj4h?t7@l`MGvl6fAYZP@>%a$AsODYQ
z5cfC6u`=OH$Kp7kA85P9#-1Iv{hA8;gGTsPNO!e6&H<`>@13`;9QZI+wSGFt2*o1h
z=j}2$P`u|&%h{7$sQdCs@7RJNVgipW$aiwUwCD8C9o9UcT6XT~OEHAClKc2a8Yk$~
zE%vFhe7Ko!`E93)A^hYS*d8}?!f(fpfY*Ei$XooyNv$!!#rne+JmR^qR&c6-T|p4#
z-UCS5WdQNup@j#&-0*+QWyoePgrtYO-gIsQR9o(g`nj10iQf<MIz<ZOjNZX5lo$Fq
zZR63I9m$JS>Nf2i^&+^|XqsekSRY!^vC2nk`JmpzM2_l-p&`FM_5ej6Cuqw~Wl{n#
z_by;NR=B!f8bcXwlT@s~6+GNGEP%A4-k%AMl6Y(}<awoniljs48~fi1;;xfVd(4s)
zCLL?_7%x(x*qwu8)k2utP}`Q>D1&Az4uRlcD*QQb6>e`3#xs%3@ak$gJm7BZ7}!F^
z6~lcTJ10d@#h!0fwMPL=YxQDIxlxh0Tg=atB8CyAM7aZ}6p_}na3N;XDozoVjEWY=
z%VvK!@!Lu`b2B{FBan(?RnadBeoElmU`07ohcbqLd`^u@rXt5bVbk&vDR|ZoQ-{P=
zVb-!!?><Sz%efglFCiIdZ@7K2ahDo?wR)dE&#8};trp|D^|E-{e_4vPOdX%c&s|vB
ztB)_wyt9L|<>9z6dB0yk6FS#jJYV$aBRus*rzTwibMI@`Jl&^-_oZBEVL=A)l<(1z
ztx$vvdATI3k^+wt;WiIM4KaGvj=#2A32yebGT}@*_!T!t9QtgC1oeQ7S8tV})jh2<
zXP}ECie(#oDvYpg!6!nhO$Cj!Ly1@H^<dbmmTp~UjA4_LSqeR>U`ZLw4H2W_+L3K}
z49zAe4!`6P-KPd+*6jWJS9yQV8#BL!!3=Wo#|~O{tHbEruf<0XsgRb4Nhw-mjtp;W
zo%gRbVDF&R&bi9VsnGw5Cazk*`DN}7yDUwN36<IN7EnPL_*~AIx5ReiU4~~@ec{d3
z#PFyCRNOvQ5Ye#N8j1b;Gp-M6!R|P%D05y9M&b@e&!5<U^_aK&iW>#rujG`}le)OE
z^QZCH0)d&IKBM!OD3Hipr#GR$%0o8yv8W8-pUjCmjyn`IcwAdo??pjJ*fRzhDH^6U
zEaRk4Q}DHv=B{R~37Os+>dmB8+^po+dp!!S<*505`=f?=37&&a1FQJk*@<KMTKLpX
zT)dyIf|DC+9AlJhv3|owVYzut)WtUk<Y+1(#dr7iua35O6He}2E31i-+fEnWr^}<k
zVIoJ~(-wo1td*s*8n~JMt8$D(8ioPuO&6VPvF%M~;RJ&^DpMY*C%hL!`vK0>Aq`u+
zZ|_U~^+6R0*5i)3(?SRm)~u`lOT*D&aCaoDAZ-4wYB&c!@+w6e>Pu+wxFz#xFHITZ
z{p9RpVNU$XJiBitkcP}fpA8eg714FHdRHe43w$O1JLDov!{VqH=W@ORPR5*PGQInc
zuxyzcp*;tlJW6JK&@Kn3wWe?1eVro?FA5fmc>@aRF4W?KG6;}2cCtzRMZ9|A>rNRZ
zpjThas-!FhE0&3xT)s&nsfm5eONl^>W~RvTMR9CYH#%{|Zj_kj18>h(8}vyA1(wc>
zBE_|eWg=jRI2Vy!=Y7Q*hyB^o^5jLp#Iw=)naThW5(et%Co3%6ug_XMD1;lsLq3z1
z{lvev;&D$2D^RBn1*H!Pz}CiX&zhiq!u#6cA7Xx%=&szk)`XQG?bDClrD6sMV}q!J
zVGk{EsMq4vsZ<`cEsFPfxeO7f8MmIgykL&)?DT8bw{u}TQ)YQz-Uy+;k}@8-!5j<D
z$tTK>a-c=H>C=y+V?-ZiF;Mk^85ox4>Yg{S!QUgMQX_YqD04n39K~*ii>&88cKNZw
zpFiRSWAYU7a7UI+$bM5ij{h)miNXS}HzoJS17?WDhbQijw3vXFJGaYDn;Bw-N{{bt
z{!MJ|$h}{0ZGs>bzi0W|m=LJ@Os#RxUqV{^>NVCvV^F%@wydpW#8!GB|Jmd@LQjAE
z{TU@=u%ws2|7*{PCf93Hc6AHHdigYdTr)yN^HsmD-we>>Ewf3ITPE~)iZs+EjNm5I
zoO|jW1J<5>v92ZUA9107O3ftO5Z=$M&b=oYAgx&4N)cp4_n3V70Xaj2ig5Jtb}?W?
z>N)F~15DWQ{Kv(Hdj{Cku)sAUz=-G0kv$b%%%~ii>fdf`fZ4Fa{G0bOBDlfH%X>R3
z9$%ULYxGthXAV~zRChC?pCg-3X^9PP<x(@dw&_D|j(y|XgG?A3chgfW<$%l*OEu>l
z6%L1(6;8-9!>dIj;?e~!XiFT_Sa*ersQK*Enm<<iX=XByCG#Lp+{MDrl8T*5BHfW4
zEYM-BoNFrN!_@EXH|Fc~;I;10u3ZDH2z0o<%oinq;?Vtly{dW`OuUyUCcqBM@(;P=
z6@sWZtt6m%UKb5#)Rsm4IB+L%bf>hiFf0!}f1b~z3(lLABPy+{KC8-YPfrlRuFdj;
zLGe1s6QpF=9pHu*OTi9KF){RRy`KA@hz|aGjr}Ur=7o2UT9@V<aimdwte-#AMx;u^
zmQND=*pr$kYo8^F!(Uw2Z{4Gfzkdz?s%Hy;|6uRSZRe$7{W@VyJVhH~0mT|Wsss_C
z`zX!vp)B%L9S@yk(*}pDR+RXX5C*qaBt(zPqeP*0sCS+Mm6=Fm-c2G%(NtDR&{o8W
zSgk)*9NPG9?ZPEfFNz(WnkN5+DM2){dmz?C8+mSpuS0yr@%@lCL*qwf?54;3<~pkl
zu6>h&EWDC%kJ^4t$3Yb|LF1Y`E7}N+b7?vHMGB;Hx{cgBH8{3NWH8*)L5{!|{;7Hy
z_(l9I=Gdx%cd0jumBVylvAIEkxl;~4re;m*bDG%0u)EVSMh`1Ya_%OvtNP=cFSq_0
z1@Scv!yk82p&u>3GILuIb2pdv7Fg?`Z`Y2;xvKieI<VXw+NuP9rp~6^c3nh=6BmlO
z48Sv#HgC+Og1kRrO7C^3a8v#hlPPS7_e;ZXx*Sz;Whc*7_FgKSwCPElG$Yj99V_BG
zs|JU-qW!%m^$`&i|19p3G2W~T2o8R!j==TYaY=vm5gpv1Iml`Xd7G(@qF)-I*`_Z4
zbTPmQ!=q5RVupqoQZ`mt3!c8g%j&@fVElXR;a|c6d9qfneUcPt4QNdheg=@wF5KTW
zYl(C2AMAFnP{18-(9|bn0R2j8D$ldkoE4EKn_Z?23ul`k%|v|^8^pQu2NLioh>gjE
z4th^l9Ce{nF>}@9spe@w+)OL=%>^Blm8_kdKCXvr49jn>frbovUd7K`omJjGZy)B;
z!5yjR^CH7ET+Mb8HV)B24dbCkGgmDr`}s2m9I}N3IrP(lK?h7tS|@xrsbl+HHooCc
zw$N8EIBBp^8zxf&&1SYLXejx1vq{Phf#Lk`-|VJff79t-#kz{1ye_z7X>AAfby|~j
zM=fZqos+m7D1#-qyka2iz|K>a8?~Z=Gur<}Ei{WkARy<YkFp({Uh*dSr>i4s53T5G
zsUYs_*zP(oVT;L?pPq^WYA6g%)vWjBLgEFX%8om>=nLsFbcs?y!mB;Kzv7v&bvb8?
z{aRbxQ#fv3Ijn@xZC?Ig8)pfIrM>0ctM9#_tWmVpO%Vg3A)`G#qr_`b&j#ibG_2pX
zo9D$jd2n6suyC7dChAK@y?3zFAm1|d(l1p8TC`MO7p2$qjFo=_kJEw7mAt1crII+A
zC9U$x<tx33WA@sRJRn>rc`Kh&92{fe_ZR$!>0W%PcWbv0c>jfG+B!u98GBpp&YAt7
z>$Z8OS)R1PRNQax4nhe37W{=I<tOO&-%{`I$g#$3Yv`Pas=%rarA3KHOwtFgH`or<
zTOlGfjp20|52P$IJ^k}0>8BDeIteXX;zew^V<ZzNM$$#Xw~S8EZKGy?OdDGwVo0TZ
z_B$(T4|urLB#hG!T3Y(-JZ1s9O%2;m6=ux#b<Z?C`azG6(=^toFo(&4na%NH2CS$A
zoXAcZrPJ8k_!imBK?)u%Z{b=dW@An%?YA1C+elcKrTUoRPDHHiZ;N@NwngKq^p`=p
z#+1?B^deLA2<~s48T>;$ac?Nz5ZO=9_GXiK&AsY()9x4Amu3jguVEVJw0h~ky0pu?
zgG?YIIi5{BK1BqiC7*Td?WPYdDiAkXjgi(^^hYNBCxN^*I&OD6=yQ{QcePj<gUhJC
z_jTKMBBM={U@dH;|NMF;&LQ6j)g?@4f^H5GtrC}%y?-~+1OF3ZZkAoW>o4Dr6!rHL
zEn*_x6C&^EfjolG*JP~bskbRo4HtU}>Z_IBTV*flyW9SmoaQrxbl{(SS?eBR)Lt;*
z&!cksnXVz%y(tEGwLW1vWuc3xKi?<tCgTxZtf?Tljn@G2W?!7`96JazFVh(IvP*Q=
z>S^!%OZup7DIU=m{6v%{OlKOfr4t$JKV*HB(noK>(0ra#8<C)OqD_y;Cmbt(ZZo+{
zg)4t{o=|TK;gG3vm(E^F%-v|xEH|QJdq@k>)6h(m-rbp&C|XUNo~N%%P0_=KO9uk9
znVN~i=eO7M&b%ZnZy#n!FVV%4W1Q}>KaIq7U*CA)w{M8nt4=q!4C+84_1mq@+Zu@~
zmNVPNGwTV9&G7@35<1X-@zUorwUJ=<Z%m6k)JP;cK9|dI*G8h%-eBRqjYQJr40{`$
z7UCS!Z??*d6uh_C*snX^Ncg-Am;GSaMns5`j|JPcp#N{;fI)u~Vc5;S(aG%-F(O%!
z94fB`X<GK>{TG@Ed%eE}Dk&WV7lW;L%|T5(>K?Z*^lBkqOYGRq@S}^+3o4<0AvN&$
zXeJlw&`Px4X}(^1^b4`SVtdwI2@PC6VKAlX-$sN*74AMt{YJF@v58|jrjF5yqscON
zJ`x_*5|>7V`iS%sJA%4Dsli!&pUHlacH%;OfZ?ISeq!Uk8<9emY7ndP6-jv7L8yA2
zf1rAJkhuSs<KCq^s<@~^zKxFWBEEABjnX#{6K}d+e{~R2g-7YD*8<7i1cR0FH}BBz
z#O8zM9y0MN`20`UD664|xXewFjI9|X#C-NvGA$^B<;gy3hH5Y2>c~>*<1$WAGcK0@
z3{}QXIog)Gvwg(xEmwc6<(eX#P1iXzPb(onX-{4W{{Zpy`1QQD^l8FW?vKm8P$e+8
z&1Z_$3=+BaXP$mu^NaYHe|LTGydvIcIzEue9VYgR@jMw;`9sVoZ*tc=t%!dDqNWj#
zzY~9`|AovM&k_@y=3gfS6fs`eJrKGuMnszNzRHf8CuW!CTx)JA;H=xHw85BhA}i2z
z^G}u~LRa(H&X;Bin4J3&majTRNEn{0DsNgL90d198Qhfz&+y02#Nuh9tK_qi?Jov&
zI@l-u8IS`RbcHUu`xkMc+49Ky`%GZ$c*MJzB8RQwGUZK<e+U70)Cr`rV5;aiUEq`~
zZp6#vJl-}-eAb@+E}h4Q546;$jGtv-&2Q~P6s+pW1a)`BUk+&KF-fkolY!u+TE$D|
zON6$FP|upP+{haWao_er8rv;4%J1g+M`*uNtyA32hZp<|{eK`0TbbEG0Wn6f?_&L?
zQX>E-_5YqZbV*^X-l^?aGZRMGjs(6rC4?jCZ}%~ukwSmaQ^QZ?EZ7oS6|J&Q1l7&~
zw$Uz9h%3LB!_mQpht%<e!n0yHlJIJ8qm~rj|FG}csKbf4g+CnZUnOwrZ8vqCB8A)K
zVYMDFx#8ok#555s4R?u8BjX-Yc>N*JPxLw;99f%u<k!eyQgIME52diP$gbvSuK-T^
z-F=%@q=4gQo^q+C(nz7vdLCU9f~kkw^XMH)P*nVdXKXSE4oQ2#a#{pGzSQgeGFQP%
zFQ(}YDzb3>@5J)6Y%!$WkY{Z%S3_b%goAsI91?T$?dbgyIM22F{9pgo{4K~Xd&yn_
z+|4m#kNu@_`P!r0w~w@t+|f7u^`s(pYd-AWE-DAxmx;pv$>^;5ScOd8vJ!4FH@R2E
zD4_7$yqfMkJ+QrgE1TY>g2=k0K>;BpOpfR7Z&lRCS}#FqinKba-X$DUtWw6m_=3cR
z5CgPwb(<Y*(uBszP`<e+RjgC5h>Lw;h%wi#xdKc&@LwBozsX%46ruONT$4uFKGb=e
zdpi|XUlRjM^fj@S`q<T*!32(_&bNAF48X)7#B3@=fnwE4-Q_PPh`J*X#{Jz0yAJ1f
z8h+PC(#8;3gJ4r|%C^a?q?+QK>h8L+JGw9~>-y_)&lK&wi&ye@S)kw$lTNWT6(Yi!
zPq<d=U7Kt&e0{7@sS<iE`wbOWsj3u)Dicu1+TcPBfau_loN?C2M`xk?&WXl2^Lp!t
z)+;pZSh^QMyP=QlcP`b>J{e-dWP8iE@3y${VnbwAxjy(D9aB4>>O&@HxTB8S9=A)`
zUDdAX!z*c6vU>F&ELkJa@AS(aJ&q^S{GgA_yEhu!Bs9S)IUoBZa}8Ri9uN=nsrdRa
zeMsQ4G92z1`7r)kgXpVole=H*p=cvC^ZjLzQF5Stl*<7s0#|d*x^(bMQ1tO>m(@ML
zC{Zvqv<4HEExh;dQQ*4kX+vQI6W(qgt?WF%27j}XliKW8=c8)0u=Z;^5!TL?&?&eE
zChv?4_-fU#Ph-J+=i1+NmYcO-R!-VutKUY-w1o=VUmWHBk;OtvrvEt4@yQPD?~aBX
zDOE&(FqL8JQy%i5<IcS=H0<Cx&m20GD2JPBVJs^Cg5*OU`PrgKTR45o(%#aunj_eR
zc^1wIlRwodn@)YA;d*3@SjTZubd9(QYcPtE)j5V4|BPt}ziQY~=Pw9no+ZokKSjyO
zGoRO0=Kz{q_YU1P<3{h*ES7zT#K^N%_hVdyf%yj3?%iH2=prhLYHy2?Lse0>3W@{@
zec5kX=q?dil(4_qcf?3FH_2ITT^pP~KdAI<c#3Ef_Z>Eg7bAoF++6)!t&wSGR$0T*
zP2_NOKOS@wBNLZDR~ekN!uP9+Pi{YZNpIQ3+I&`0jNE1-R-saAiN0~UOPC*|AN_p%
zy!D_csq|n*w{gV+FVr2bUw=1Ezxz`5*hrZu$#mX_b=utm%SXF5v3k$Z7anX&ymeia
zY>@FSIrZ2ad;j`g&#+#h^BTGTr<E>Bt{W$t(k0DtBtkXia6KbQ9dya1<cN~~%_p8j
zCz)Y{=RswXIScv1`Dtt1OHtBz$M4osW;1-dJu4g%#zyiO#myX95hc6gE6%sYn}Sh$
zcJNUW2dU5|IQ8B`jGWu@LF6K@DK?F<ZDWq+BJ<zz2J*iWBR$D`<!^78fII(MK=4)`
zviZyjk0@7hGRH%tXP>bN3a(VWH&^E)YyEokji$uOGyY3Ku^)|LJe%bC=Q}?sEa~z<
zr%-}CNm~5Vi7-a&$Lb=NHUYAxr*_-MGm@ldR$s_%O=Da+m}mCli6Cj}rgQONxD=_T
zEV`)CYlPZbi7vg%LZnXQjo*luCNKRvmnxBCgt)l-Q%#Y=B&USy?*k8H$Yq~%p<nkH
z!RM5>RLlVpa!=6Wqk|)|q=vKFzd2JQ{9csUHo8-k6z8#je8pOx<l;T3H78^Qxf!vE
z@BlF~EXl7qdXoYv&9!$qa?TLZHP3zhLd41Zw~vQS#1%=0<)`P&Mh(%}L}fppBtb50
zb2_Oqphzx-ZL}X7G6eHbYxR?2Nz%|s^%+s7MBbR)618p85C-;-&g&0Kk^6tY<~6;n
zOg^Vcl<sCT!i}P>_heLM$kWm9wRVN8kUKAghIUbmU?!7)PAgQF98X%zD)&<*W2K+_
zC;J;A)m`Yp!w+)g%v_u!>7+)kT^RGA<ryKRg?hA7Qh^+MC)W~3RVPm+rE@)4Fv6H~
zwOx3N0y#J9$CfOtK?X+dJL<B-7_=(kg2@y`a*uq>@vq|=q{IbU=J76LH17LCsd7;w
zTdof?GFNDlA>rm5Eq0mUV#)4gEly=pfqo{5CrpcMe8iiN6%#yBQE1YAqfAbGIk{LO
zNg?gOc~#dvFoo#xn_CV?tB?(>6~<?CDWv$7iOSRfGmIGx+N?29B{%W7w{x&+la|g}
zdS%+?kT@uL<88Mpxg*wT2dk|%dG@kGZQDO{_#WeI=?+&T7lMOwKDld?@!jLzA3j^4
z>{W8<S~hj^{-(0tr-s_3LI!bmvD^}QZR{<5G3um<d-4PRehQf?aN@OLwiO0T)Pj<R
z)XA4wUQu1X6mtFV-?2YKt?_H`9<FeG4N{@3I-%;07RiuXT6|!Q4MN*$s+@LekbZ2H
zT=tck<l@KnkrfUCha~DxYKCc$C->JhHQ&=9wPS5Qn7tst*ezu7`+x>%xn3db)IoJ}
zoYwd+Qwxw+^ZvfZPJ_I7r1NXDh#J{=@m<!Y1Hfn)@#@@?Iyo)2_lnnD6;j-j%~kK_
zs*dFZk#kw<WN;I&h$=;y6kWWp82%Daug~mCky0n~GWx!5DNrQa5;?9hcLHUfiu^`T
ztF7L{z{o8F1+wYCfF{{*fV1?+ix!=#<mly@yO)z?Nz<_CQ<1CnVjX_R`K49KES>zi
zkxnVn_|OF}ty<taWAb|ajVk1cZ-J+3y(P$d9fL-P?*e0AT5BRAlu7o6Ys=mIVr1zF
z{gLOVfG2OPua@O1kxB_e8Uk!0<Y}LSjnS?E--zSSm{*FVQK#ohrIip_@VRKnS_BB%
z@MBzMM1ic&OI+c5CP3PWTvI71AfUs$;p<gC1@dTyd1cQ>KC*9<&VZ~2frnM}_|b4V
zGQlnT`nPf(Qe_(+iQlk+i>^Ri*^msGDWOms%+F2kbF?nV;I%>jMq8-wl_pPE2C0(o
zImvzAh1zQ(tnuo(`Po1JBuU|#N`=Vp9OTNvKF#zID;$cwt*rY*g5+UfeY|lq2e~AE
z(e;6c6|`%q!4}ctWckmZ%MM~3<g=+pg9y?R-@i=s&h8Z>W!#nmIK?^0fCWL0MqNt?
z?LMN>7$i!b6AfA9_v9dxJ5#<O#{xN<G6!F$ijdAXtcJ_qaF8vx9oBmaS)e`Mf<LQX
znCwh%t@7T-Nz&sNJVFx9vAE&mlX@j#(mmezwU#Lt*>AsFa+1*;-VJ`)&sTNNck;EO
zuQoT?bEE&ac(fVRo+Y;DC<&3pLt!r`*6@(k2H7b(3}(pmAJTqaCrJJe0096043~E}
z)o&QaWpC%$dmsC7hP}><N>M7xFAXGQk0zlsQMQbzkX2N+jP!jdGbCGPDJxk~g#7&b
zT<`T>&-J|TbARsp&b;E_%Ntw}`Uu<Sbw>vYcm<tR55t2;=#L1IQEs?@^)rQ=M+fm)
z8@w_&jRzGyE*E7Y4sI9zbUgT28(GiV*vMGmfxEXNo?!zA)(=`(T}j$VrX{<Iau5$*
zBk|6!2JmoEzs)A4Sqlwrxo`});Nkc&>mc7oUQlGwVNr3_Li_GnJ%~-f!+Wtjm-6>~
z@ZsSC&W%kA>AW7={MCzxW#3vHcMm@_?zLomR-%cTvb;k|)Oew!q)R|zRRBafPet!{
z(nNKRisBEFd7+M*EiX<<2$XzSzrPmNL<y~0bXNrVz}YqMlbEkCSjd)Xc=l1z(e(J?
z1JC(j`eGzFwupe&g}W0oX;h>Z)Zi&}m>&k>*z$hrh(QT!1WT(s6<x7!`#Hfb0H^8d
ze=608!-BrMRSBXZNAak*hCu-^ibys$v5^GZ%(5RRWT+^o#Op=J8$oc>@>JrYlZMCt
zN$!f~q@rrYsK=~jLSQJLtCKb^4cRh5mlPSOC|)2-#{(0Focn=aJ6dHxGOhD3A2Ssh
zbB0H?jfy}=XPoGlT3ImX4cxF2q#~iyhK!?lG4TD==vY)K2Q9s$!eg3Lq@O&O%6D8G
z;v#lmD5{bNhtI~JJDsRVU_sPBrAPvZ&iCU6-xA<zMWKvFCKdG-bW|9KN`Y&3y-7-g
z0zAF?b#rZzikc|*OJ41lhOB3$vu|4!LE7Q+d48Ln`FpaEesaoyXq5tIP^%KO#>lW6
zH)|q8%fg`GUKw!U%|CG%l%YInlwtL-7FrXcMHghs!jV^B&Wq=%fK_VGUFV-#=;fFD
ztUkVSz^W%DqY$VHDa=J-7CZln^Wpr^e}?kFTGXp+KvIJlO2*p}2OY$%+C%@Ci2%#P
zZ8ygn)F5j^q@s+fi)=ls(*&Cd5X_UQ6HO&T<H7SqMS^;Wp+7dyDpUa&zJ(WaT_6HF
z{<dm?Ngpi>v%4jzC<0H=u8^*4L<sY~8P>9;k0$z92YBBp!t5dT2~TSxY&@4s{Jd^}
zoF=_jxArK()RxQ8;;b6bcQ0^BuNopht<ltyLM7lZ=XiC-Tn$`<g|851jZg^P$b*?p
zB^Z1(rM~2*3fy_0>P@?iQT|mz+IJOYXtIq~P_|Kly}pI*lle3xs<1AauA>b8<Ezo*
z9LnIy6h8J#3!y(z#E@wjWhhqiF4#_01XdQypy_agBssU|@6IT}c<!g~{Ok%~rK;Q=
z--b}Ik5ai|j1t_Mt?_(+Rvzr%R7f>%BNTOWE9o7-61@L!T1U2276_}hFE(XNkXX=q
z&Ff%A7;iqS!^R*3W52n?O{pg6ZCaMlrB(%qx1RmTP$LQagMydzG)>Ut+la~8T?*hY
z7FHIWBnCscsT&&v6QovtA>Lh)0H@~@Tc>h`f!~Ewbc4+VE&llu;!BeU`G=n;i+&3L
zy}32{`xk_S6zUoRtmJ^EB}w-uk`F{(>WMcC5i;yvCiEVch3c*as=qfLQW^|2(k>z-
z*3O8(>m&n={l#NLWFENF)-m~wf{?y;{Vc&(8k(P&D3*(HLWcOV%9nl`YG+p~En<)Y
zO3T=vyf`*Ex+pxo$CQS0J|{Nc(U*X~T3k-f_gElyZQa8$&lrvChml0W#9)@qv4CTP
z31Wq(_;uNg5weWC)Ho*sn|r)u83!04>+PrY0Cyu4Kk|Wr%|{sY{6fT^3NV5~>N+8$
z#Sm$JG8#?b6oU7o9^|}d44}9F`>X#{cIus%DPAoCFqQv$IPES2xScgL7>_hS{!Vkl
zj5+*pg7U_gEtdhlj|d6BUD8M0VP@`j>3lGJ%Z>c-9|P#z<ghw#r;jZ5l!dWW@<QBM
z%PiRlM!=l9d>!BGAsjkp<vNdt!j|>WJQ@=mWn#zmQS?xKsPlBH2_B@b#-{C)U<SFf
zw4b;fUBpEcj>#{=K~c~L5vn8$s4Cn1F%#28!ms&1Md;%o{qVN>JsK-a4?jMUmZ*d7
zSYQd(Z+JjA(N*lwbvD>Ti^6F9I_QI=_1d;352$wAjO`m{hk*VQKaMABqi71VpyCKO
zXfFJXnmfh`XnlExM@k#%3LlZ(D&dBG%8o62=eWRU``$!sffh2ON<Et`;|7sg^Q_5q
z9{3jXsG8GA3!O3?6N>-B4e89JrEiru`1&_AqPklX{rCOyWVa3vWT-zj$|=S}E8{Qx
zpsyw>JGmLtS-}I>+jd`IuHl8|E63D|@S3PsG{td69S2H*hQ5D#`M}sN55-qe(Y}<C
zAE%RWaBua)+EoSt*yuX(apW8o-8|Fm5s$|Mz0b9bC%XmV$>liCZE-4U`SxupH3JVr
z|K_{>QiUMJ+APw4kb*vC2T!J$@dD+}f$CKz5r{y#>vfMQ$cVu_u>LPE)SS~lD;h2e
zD*wbk#CT9pdL?o_-N*-bT2`8KWW*tZ>+f_lq9D;a7iv{5KkO1%l2+`NfRvHz;t|pm
zq^#O9ulPs+1XX^ojz5xuYrhgT95^Vb?rvD{YOWxdM;4eL$D~1^8yCt(PeE%r<{GD)
zgkZ{|Dt)a+1|~?fhGZrRBCme*4%rfhidpHxm+xdDx8hKdh7bk4P<*Jmf4?Y1yyy(^
z?UjSN=VF^|x)k)(vYY8jz8Jhrf8$uYAP-4p6fbXg3aY<!<fpf^1X$#6a)#p+U|XbD
zDenaZ4cZgDH1Z|kjf<^`n3f`BFpxiQ(^JugUF(#ToHS6bKE1_yLJ2aS(M`SZrlPVe
zEw{bv(s1BMnSemh4llMgkJSF8qB@1>G37oP2u651^#m0#-cvih>$WEPDNAx-tds?h
zT-`R8N2;)&KXzb|q=jN%o=C}fBnL;B=Vj?))u8?v?&zJB9ba*9H;?rVd3eAf(i-DR
z1T_<=7w^zU4r2+wmz)TY5HUbf6;_9R`<Pd3-sm6^dA``MMhcLiKNVg5NF7A;cg;+_
z(M6;Yx@A#rMWAcswR4<P2kFe_jwfw;X!v|(o8d=AXi$1!yS}XsQ+Pc;<0*ZVOA8>D
z2P=WDPl4jgPwHT%>*1QnVu%{Eo3y9#$`JEOL;Tihb+GjdvPx4lLPt-rpL4yZ40Fr&
zt+Sa#h|?Yy%16fN)~+rerLW3xUrC-!$WQ~^p4$o^Eon%t*qNhUKm{~A&ZGvNQiX^3
z@jxLNghs0CRl8+Xzzus{tu?9)!U-{RmC*<hyRwL_EGkgJb??bO4JAnVIW;aghtR1O
z|EuTUD?=+<PN+Yr05|QjTBLML(8o%B^Hw`$DCx@8V(^!Tz@(;Aw|z{|*Ovl!7<YJI
zKlReNKUfyZqw+J~$C)4oJJUK3VI}w!Pa`KrN<(^flBr6j339&DWKP_#2(A&IXR?n=
z0PXECeaT}JH0_hrrEo?8{uxLHCbo%yTpl4|I(&yO6K4feT?jCtS=+gNTM(wF!;XNn
z37XG+a&6(HJh&EfFseuKK_}*(@3O-w=FY~jfc<hHUwiUh&kr16#gVIme-Iixw^nFK
zl?9`<p<Z5dF3?<jOJXQNC_%NutV==$#(Pp02VB{p+j#FGvMWNapOZ_>xTJwp<!Lsc
z!3=X#Yqov@2wDBR60?ha$Is=fp5#epfS^}QJx^}ZP{-Q(tuh{Qh`uKOkSS&tbfiD^
z)$KDz)%7hA93)YgeG@#j#YzYK6mR7=MPqd1nA!TF9bQOeu{00<*up5y41%nIM(90J
zs;i+*5Eh#7f1RT@v3i-r72OYpNLL^c-+n*<)~ti(bVoO^neSihPe>V}n%etQj0=2F
z9}#ilV*LijaK6V=;j#f*PQg9)DdmOqJ-0dq2%Fdo)|W$ao%#s(^+8tjLp&UK=xQbP
zYZH@4yHAu5^^w4!`lovtI5>_~b;XMR!&2L~Uh~K3q4;^fkbBWQKs!KXGJmj*g&RF3
z1+M5KC*ljaDPeBl?Ab8<mPZHYw4;7+pVmcZ9qKN)jBvvCbwRkDwF?Tm+V{c-9i(8)
zpRPX00k5aZWd*D0L4GLnV4IN+DzVamOKco4OCaTE%rHQwXo{p}nKn{bOIV5YWQTW(
z%n?jvCTKSNxxu2Ljo#^szgpd7gPD%@$*(cY@b6%T)QMMGD8TIPyjKky-27dcc$JwI
zSnm~SAc__`?oQxe$!3Go*F<8{64{_L0=w2zt%<yDiMIB=W`l6>6p1$GfS;-dsXF^K
z(Vn7Lxv!Sl;G4IyH9f;l4tlW5Bjz&|$%T}UIv-_+fzwW}>ArJAyz+M^&hu1cRW{&B
z+2LG+V3MfM1snu5wlz$0Q&Azk+4PeL4k%~UPl&&R2L^g47N=qgdb3(?b?p=<cz@2a
zw#w&)CkhR#?RFI8vN>4!^C%b8ENE8oP4L05x?BF?tP~`E{=W2~3*6v7*w*Dh768!(
z(y{GYGWzL|$hW(a2b3;qOO+%Eg2Tt(_e!pkk#BnGLz{RUWPG=7zR52P?7V4~+B7mU
zT5gxAKZOV3lq;p$FGL_;KsrQ=lZ+tNK##?c7ufa|wc;GaVBdpX(igvykbBLFb}NYw
z$W<||QtA>AxCa$|swbg9(<5V*2K-<(9M+?_lMg0!0<A4ykx(r~(dF7{0l<|TguaWD
zh8BwBgRLAA!n}l>D|h+}VwMwT&yj)AgHh)R1te5p8t6YWB?KI7mhXZZW#Q32O9N?)
zgocytM%|8xK=5`h&UjT0_*Ipf+$TurSwe!vp>9!lW$N(Yrv?Gg!lTnEB4o70+fd`+
zEe?;G{#^~dr~t)JX9A9$B_l!cGTcu|NvN4=<x~VkAWrNJv92d0m(bdonn@|Rt~FVs
z%A*Vxynmf_cev(f;R=3Vq@g!Te^2iz6)>P{b&G4HpwFiy4Gs^;z*UQkNUJPWI5#0a
zRNzBJdvbBlWcy?xt9M2G;gA|^xQ6y$BJbp&0`J_L19I>+I@Tk0iwMJ21cEh>7Fs?<
zpX5I*4|_Im3^LMbK<&S&<|!6!^eHRV;?O7otf|~Zs{<NPeq?+1f`|^Xzjvg4a8Lm}
zR%i@s#w6HO`E!KcOc%WvaTM3x$z6v1XI3rFlb{K!e0}k{9-=MB=JDn$!HvgnHgax|
zfMPM}ZrrMm>T=re)?84A%<)@R^zI}G@O>V?EpCWn+Eun(WmLc=MwT^_K!T}>F$D!b
zBXn#cs_Fbo6>!+}>f-UzfDUQgRlOQx^zm~kv65F6I9gRtnro|r>PIGe%T*fkB?akx
zJ)jEAk860$3e~{e@!j$Idk76xx17X|tAc(0F+$F`3Iu%qk2<mA|M&NM3E$CFg_i6i
z=gRw);K4s3`}B(@$oAull+7^}Q1;w2cQac7uIan3UTii&Pv3L>i`#h*$H)?=s^jvY
z(Os;v%wUSHWoJA$d#MZ_(KR2BFw25+`=Ppe1ydwEm}zmLPYFDz9(^gnQn2+rX)}Xt
zic(B9?mih&1RayKyZTaMupL{@tG;u-kuhzSr9}ZkbcdC@c6@r7fm?qSvngUv^T3@*
zCqV6U+<(UZ@xi=D$tr!H3G!P|Fta)*4`jWQeuHc{U{l<cxt3&tV%cNW>=otU0(Sez
zqzyaRSDI$sK45}I8VHVezRQ4cOGv7{FB9Bm<^FbN9ig1CV?X%wq@loP55K1UE)e-n
z!ss#(nrrHJBY%+u9}2@Q=^fp+IAVA(z!ae)%)5df-WLb0m*)s^tG}^;0KFQ<1{z|+
zF}*jo5e0_fe)37?U)cEFln4LlX=wJ9N9<KYVJO<CAi1Hwh-E(_<ZkWwhc@f7a&rqo
z7$|<qG!Zk0(MblYCWjiK*oi=P-)sC3*reif<M=Grpf#E_UvG$B(5=i?4D!NPcQ;D;
z#Tjfeb%VE^)ey~ZtoZZp=*e#le_s9PGg!$<@8}9^1H@>>Ce*=*gU3}q=T_=xv9!@I
zk2f;(5q;g?8-6)lK<m_>`j9k-G5x;6)BH;hz3mVexEIa=3M;ZXdb<{|R+6Wax}_fC
zDNR|hD`bP(uKNK!%Zpg7+_yWVJYD43uyBq`kQHn%^{9PGTE;38Vvjbm?CeG8aqG%T
zW+;lJOFr(rf~}@5n11!rL5*eqnlC3X0cY)7J)L8}F$><sf{T6HsO~?7_^_vpFk5{>
zDAHvOJIACa?6X@N(Z3ERIeuk;Q(4Iu)Dr$;p4WyyK!p}MTVRw~bBF;Pi&G!^jcj5u
z$FKCAA!?z6A8f0#r|4m^g0W|P_cms)veCW&nI?MQ{_byZ9z8_yS>(WXI(S{X9ePPo
z6V3AM%A|{;2cv=Q2mN~V0Nl3>C-bQ&h9M(-UlKjg#q7%o&R~EXivGQ)6e?1s?h0<L
zqla97Zk_jHOi-^`oK^9bf*!X$w>{3y0P^{}WALw-VaiQRPU{c_&18MIlMG@2+l{;=
z?h~wVl@!^j^No!9)X%SFurPvZVYh3JEISaNay=XmAtQaw49n_LMyRJ9me^qDgp$2p
z6(_{W=wF(nb@Fv4z;irz^%UfWEWZ=n!#nzX=12xxxhFFe<R|l+%HyCbJo00%+m8MV
zy*M=zu#+1@-rIy)@B9m6FB=Xa651mZI3)Ls6+B`ezxtBQ3+|zzi9Jagh+4M6`}Hpy
zcz4bYyZ+{bRC41bA5IN)UHi)6((@c}{(kH!Q9l9bu;NVr9ixtJJ}2Gs#dAS$sb2ys
zix7+t%QF_ss-t8T-+uW)ZeWfK$7|IJ!|&=If@mWVJ<Dl-&*F*$Uy7x8<O5M)qc4k}
z4<e%5GrZ5tFXMrtZ5{S8S{$Aver}@dB_jSe2R=kT;f41X9#)3Dl!U^+D+B{YBGSF9
z*TFZw!{d1F)`0+NxaY-jvs8wN<Wud7cnk&LBG0S!&6hIZN<I2GN0*3rigUTrN(CW9
z(=M0qw=Cp6{1_VIOGGQ5yZm#^g~7yvM>XuQJj5#hIL6*eL?Q{%?89p!(6pHDDfNZ`
zUD^Y~fd|x)1@Q}WRFfFo9{y<4udN8>mf=DNHq;T9xf}1DQV9@T+|U2ARteajA0`<N
zX&^o_cgAFm6ci7YH2WM-frsY<;-UgbsN|aQ!;l4OIJ6L-eRo6^_69eR+oZ`T(EDTa
zHm5AuYKjzna3_LWxSIdfX)>z9_XJ+nlmnT8xJ&la>hR7{qu1&a1vOhVTgaT1hdGx|
zO$QZ8aMWlt-*%XabbWa4cq9@a`z@ooa5D*5#RF~?uxX)(XPiuW8x=r~(Y&JY5E+J)
zFP)J&u8poQ3a0*EQiLEDrJcPZgQj7{_m%fLXzxOf_;s8zwEYk>oLnWt+3}P|w|8{F
zywWMxPD}+te3dS1FjJuQdeNrbcYP#25!E)qt_r+;LoV;Wkiq|2!ZqOtL-cg4Jl3RN
z6})2`uf*LZ!<Rh~^B>iWQ6V1h*czY)W82F;>vJSP#p^zH?`bIK@^WnWv>F^Z&n<RX
zoCLQ;F{#*0gw8T}C1cV=AnzW|*H%{t^2YlnFDnytZpMADy95zZ8}<LJx2VF{0lGuG
zCrpq+X%yYVVKwMC-#FqUtqj~!`j%BEO;Lyn%d2vGHQ4?X>sP&B0ph)iIewOzqNT&v
zi$il&L3~ZaDaAn!yjA=Bi+`FT#|)LJsY(^lD;;>E6eJDXa3eE}*$m}!(L|m<Qie3v
ze7nCcVsOAjAl7G>8R`iXp!C=&!DzB!wkcH*W*YnaqQ01-G<P2pqjd#%RH;;XClC)e
z+P$eC@=Xz+E&1`nEdt~kKdawNV27V6)L!Q^rl>Ag`DPKlJcMsuDx5mb0Cc*a$79({
zQT6TUzSIy|D0wPdl5q1ccK3SDcilV_6m~1;;=smEPN#Lp*@P})f96L=KNy)HJ$m1)
zC1xpDT9`LDygiP67@r<f>_ljjt5NnHMI78jlI3HL)?;r=aJP~i5xTpm6Pb5Y1WG_?
z&!vufT72mc%gZk`B%XRmfo@X}0)BT*S!eap3iKBao?xV*`TxeQ?t97)2Yu4iSG>k(
z$1^_j{8lkWJilHkpS;2gbl2$Bk6C=B1>pzwKeaVN_w`7ptAcP~*f8!a?J+?+5pw1z
zYq%l$(^A%!ewquk^ZWb5T_<Q6JvNJhm;uUsVwdGD$qstD{E|YqztYxkii>k@>7$A}
zxo+KBEbuIMLvd(hoOb!h+o=Mik9_vsUtf5_2zt9Ip<`<!w9O%>b>cleR8%kd;KWgS
zU~c$ga>#a&_Kn2*%x+K@$*h{+bUsW62Q<hT5f(i(<424si$q<-sS)OqD!PR^*$kDZ
zFm}-Xk$VeE!*=#US!1+^{V%54NY)N9dPiHfd??{Msf~&nhPxwO|6uJ~#;jQ*MKr<Z
z9@`!Jwb4B}YNm(WDn?h{XwPO6kNrC9AX8neg+`)6J~iq5!la;YqUw1SMuu9#nuOMl
zsTZTvr7mG~oEg6qG@7vQ*AE@FkJdyvN+S|z_aYYLFOIuZ(24zu*wAmJ*F=6rhsFNd
z&11F>no35`d$CV`1qNI}RD>T-KKS?192S!>aw;k5GuGIxC&K@Sf{rRroD<&r1KW3z
z-cKTE42verN4>pFK|p@%;$}IE;okLKT-W%DaqU-KT3#okFJa0ZuGuqKzJ-8jS>88n
zE30?@VJI0f95Zy7*gu0k5Lse$QklXgM+J^NVJD+gZYyp-v}Ujd%cwnEZ)dPBCaK}M
zWD;7g)2=Q%JA<96w3!xlpTl11>KR;ABBA?7>slf{&R|kYM)G?p3)r2ptj+xa8t9p0
zP}1wmv)Bo?ft<s*C9I=a>Ci-uI&unmni%rm4@}HHqN)AyGNvuH6!&<Lh~CHBOmF+m
zVJ*qCE_e2<U_qy^IlJ-^(bP=XhQYg^Sh#QZ*+(3|v4-p+N0N;iDyfgl-nLr6!cMCd
z1g`wS7W#ziex<0Qnw4CKrF)B5=NJ3XkBon@rRamC!fz@_UaKWrCTa;YUL2jtG1<i0
z@qO)X+A8RE)WV<4!evaKfrHVt=pTmHw)fPCRz@cBH-lYQeqpagShy|}(1FiEKb-iS
z5|Rm3f75h&6=S@xORYwN9-KN}blMzNLP?$ZHh1QKV`QAh;^h(sFy>BXWUo;~?)P}o
zTb{3B)h}QEJL$~?{bJl}H`Nr;KyaR=`i>tOw!d`O&zc3)GQ|l(ISS~$V&aRsSDTnh
zJkMdgD;td3H3;Ys6c8Wdn=H;<+n9}M6x*K{9FVqB&*AryfJP?Ad?TCafMaXvpuQS6
znAw)b`5P0^)VJ_R0}XnJ$mSZ(zlejCrAP_>L3w2KBhc$<H3L{L`9$!p;^BG=>!RZ|
zd35qyd!q18e-W5H)i0F~26#9e(lq2z=>FtVngt8+lsi6QbrXP8cw1>XFNfCuGrGuN
z%LXMbW-GKaLJ)FUblUQb92&RzEtmX&0~ol2=<i2}z@Lzf-@R#aC{h8j`muAv=cPmw
zyKiE!r?$cWL5v*Y)qRyJVUL3`+mchO7bQWcBmZt$svHXNefP+<9}hLVZA#VBrC~6_
z<H|b7A$&D^!|e-vaDfo}B2Y#a&YqWu>SUHjE^UWm#xw;$CVGBNrCttdD|`vg{_<$}
z-;byo2_cBjYX0PQg8;BmpHjd~K()%JR)k3+U?$rAEWln7zE&y4Uu-9!5FP77Vcuep
zl=|eU=YPtOl~%dz*sg$R@%2aM`XnI19e3i5n<{Kbb=~UXRzk#o#WNDx(s1&!^X70Q
z5hnfZUeu&2qf5%t-*}Q_AVO7vsk%l3Hr1>gEv~8}m2ggCGn*VZ7KM38tdhX_4VT85
z3L@$+T(m8WmIvyEWQA!)3b=ck9CcSEp{0lnvtelk_z-YkQGk&O|Mu;1C@3PMc;zjo
zfoes_p?{>CHbn)iiPM}CUQ~2{p*GR$m@?2moBq}OR1=bPd&E3XX`zbh47YnzDj-Jr
zL1|ai0!DxNvW;LJB)Tm5!p2n%h*hMebT=*7>b-kQw?Pjz@-yE()j))sXF50!9oK?4
z(YY@rlnjwPmtK$BA9e85lm3}HrwLC_j})3dFh=(zo#|NTHDI9ekx!A-PW|em%X_aP
zv=7tN3bZ1@yEw79!X*mid5)xfN-;stqQmRFgGunYiJ<euoeW_G+3U=yrpTt6SLEwX
zeSdxf>sJ*G_;WDR{`3Vil<Dw7b>JWgq>94ow(+XqP}X(2LVP#kxpGQcYfJ-_qa#cH
zz22Eq_~XA8al6qmKWCP^E$YyZ!a}R9WWo1Hf~9chZp8Zi<M)lTM3~omFQmjS4u6V$
z2VM{D-1E1zS*=DD&g!chj56{A{R{WP@~Yj)`q+UR*oZPnjvVT=k70u;!v>89{=3oc
zbn#N+kRlkTWuH7gu#P3Bir7?f>_+77C##wD1lae-e2ww@C+vR!0096043}p-)@>Mu
z&FsDRo{#O}v7Zx>P)3VX#v6&qj--@SC`zJ2r8Eg8k@f#;NF^akNM?wvBtpG?y+2*Q
z`@HYtxX%0b#}?zx+QP#%<fy=PCDO*LAa+*l8@*{fU3)j1Ex7OVKfao*K)!x>=yb&5
zZ@N)AUFUs_4VtBNw_KQ#CExXj$8daP!pW}NHjP8p*m&;n>7rFhQtn9C!|Zo!u<&+f
zWZcafBN?F*FKop~pC*^o`D+}AxtXF%J_GjuVaVRtBt$-oUsL`ni3>IR$~r%q0lii?
zSb{V7Nyh`J`ejAjXp$YX=L)0aMV*qeh!GcA@#6X1xE&9aOgnn?4_G16b4+ikjg{OZ
z-%`sG$Ahz18sGD#S>kN(75dl=13AQAQ6uWl13q?^53)rT2r3=7|0c3TcsU7qxhelU
z|M1@B`Ui6WP(ZK0R9*V-x~1+cG0vaLUHgU`Yu58UBe~6yZrA8hY&1;l>^&j06wD2s
z?jg==&StnW<H5wF+CtdQbd)d&a>FLH^J>HeQ%v3zUh0ahryD6B@%#9a3rE#tqK<qu
zLGgUdr2l*m-DcyblL8mGAm-~DuR=FLi_-jENBL1YE9a#ndyjA-Zt2ke-YYb)zbbrl
z*?*co!oKsmQW_U5!kvB@veLkEnEO&#%n!N(!$5y<4Hq_Q2rRaR8^c{A)Y*Arfj$n=
zjRpVa$v2|qh7B8`)~1f@fc$TIZEk7P`AlxSo8;KpyTb@!hRi#@Dy`C8LUZ3%Sny!Y
zIbV;tZYnyW+RdyO89-S&PG2j?i+dSH6IXUo;ov>_h-Wt=o+p+T`wR0SL0_(+chnHI
zeeb(I6HM55kVjiVksmoKW$PZr7-E}Ull@Z(799GJ&6C!~kF%K}Y35vp__g8BfruDZ
z?60u)k-a2<H=mm0vTquISHpc_OZOTKJ+t_j7bgg2?xLh$b_V#*VEJ3ddUog!cgB5=
z6vCN<*}2yy^`SNK_zp)C2c~xn{e5#v7-^bzX~UQFF@5=GU%V$57`#Gf{hx@SS<ft2
zeWN}qcmJmv!^neDWd^^BHDbu)jy&;|Lm%9xnpwM_@j|*Mobgq-IA}?y9+bS*gWY8K
zq4jS37<QVGxw|X@?hA)5YF^gE>G0qOqHY3cUMUh@e^Ux)i4kwPFg;K<l{~uQCy1w}
z?dPKQ%Rv8n?!GWrJruEVeR4Y~1b4QC(aP;|@R6?is9>Ro0=MGhCrDv96K0+T<?<Mz
z^c>qx)k9^UvU)h5D7pfQ8T?)=;PIy2asFm{C=Od=A`vZy$XeM#xmiWn+L-A)bkV~(
z&DS-KbK*F0FTZ_KRT=f%&zRmv>%mmoi~aaXNx1D}t#Aoa!GlLbUU4OQ5M=7y@P#T3
zvM|b7;fX4)b}f2`F6-fPPtS{AOEQSq#lRQDuZ|{C#Qo$heV8VdXTI)~14EL{S<8JI
zxNLfGch)C;L<%bnuOE`fhQGB_IWIM#@TIHAA=ChoZ|yxgh7}NGzmL;eS_=mi>r<p;
z4RNy3{KB2@iWrW#&QRm04X<N^B68mhVb<+^%xzf-MJoM$HkmpgT32?qw^L!$Z(sI+
zQw2XP`L0e})5R99_c7l-8evbq^Zg|;Rcvsp8vSmqhmDVOFGwsJL!9i9y)CPT)7leR
z-8p(t<bGq<rDp=i$IqC~N~q(m?wrVlW<8M3(kDy~o5Dx?r{gM<1}@pyvh;WBf%xi2
zYwk9KY*?Dk#|{mM5Pqqi^?F$Eth#)MZUN5|o5zPvX+nP5l;LNj9wr-qg=7|5f^JQk
zh)GZovN`j1_q;9?M;aGg80e6^p)vLS2n99GWBnF4b?~`SCL>!Ju-Ljh{<eyO=2D5h
zd;V&{;c(uqx79#_d``3vNx^FOP7ZTk3SQ)(J>1F~mb@ard$K6-47|PTY`;28A2f7~
z6<H%A_a}#;F$HUHtno59rHbY1!@sXE*dSTjwOrwrCcaOfIhZW2j33jHtOn*bu-%oL
zFFK}yKM#2GxNa(d{cCn@yq68s`4;kjGibm>W6$#+M`V#D{%*}7KO5YcwPNpEPy@>+
z2?x133GCF!msWSTLDOYfvFuh=y!q+3H}~KFitLu$tgdYXt!0h3TP~<Tsn}|_!I%I}
z-DOVASg;1C`MDZrXJwo`|Kc&b01tF{SxvGZSff_c=l-S@MO1HV<lb$`1}@r$TpwR+
z#7YMX78fb}<Hf37k2@1;^+(6wvs)utaCGFow><v*JsSG`^a|ar>~%o=y?^(XKOfm`
zCJR!m?O_Y=0$n~~!?Sn?;M8DhUP!AH7}RU8UuBx57pFVcD7~VCR+sIrd_n>|?8@$s
zW53bq*3nZ2|MGIlXdO`X5yRJr589jMM(DnuY5(b)SiwU2(O(^35qy*wI?Go$Kv(t2
z3(SqM#BB7V#OhQb<o=B+FAw`de{-x}C9cc@@dq>J>7NC_v*|)~8l{h3%l~M9?3_93
zJNR3DJ@~PHt}y%bY9HNv`!`o+Q*%@>_I)y6;6deJ^^TYI{q)luVRi1u&9G)yw))IT
zE@(a<3F*8$NM90+JCx92ip1R<zbySY;FT)I&LBNPZ;EBOo}^)lP}Mpkv7>A_C!3m@
zy*Nr=Zu}*=Ey)Cu?%Rxv`&n`5*QoVYjS2d_PyC+-258V&la;Y9o&|wt9lb8)PtivM
ztd%+KXs8M+r*Um$#$-j0XOr?QU7?xfR7J5d9>gg2hiqoTa8R!4OTiy>EvK6L*W$)d
z+bA`Vo5~1}kpMgt{Yk%;*gkHMVuZ}5lQq2G8Q`%TGCQIBi(X!HW>fbn73Oyym}SQ@
zKt9VOP}qBkp8Z5?tSp9#w?wk!E=>jm`H35Tytzy--^h9D-VZ~F2m8+t{QXN8*~@GE
zbj=?+ZDGcdh%!WKm2g_b)L*(P!-Pks4FfWi7hg;)8Gz06<BddK21rS!KRKAmh*WD&
zAN?c)BtP`_4PDECho`zOdjDiX)rkNyo8JJhE<M+0y~u#h-$_ERLRgR<`(~T^b$$5z
zwPammXT-+2XY+^tuwr4ouE-KiAB4zr;kgTppmGYh#NT5>P0&1)+VwD#)_eR9oe7O!
zmmF52IB<3CZ0f6jUdU!L-6qAx4Ac0j8=<~ji1Z3~5f|3Os`Nvl$q8l@ZElZ`iR8gC
zo*rs?tS(xem?ylaSs=uo^I)Qc58F%?2B`0Kpzb}psZ?+cz9=o1PH+jJyJc<j8xtKg
z&zPO_+{OlJCzW?JPeJq;uN9ZMrwy8A<&*-!jw`-rJWe$TVUI(9jFh@IIO?e3+|HaR
zaSm{nSSJD{UxAddaxK)I$-Lspzzx2cxldY?qF_;7;qBe1g`j+o@x(qJ)c$81&QLB6
z!PU<rX}>9WK>bG180W*AmyXx#@+HAl8PU-3k87pxJS;N=1Q7SN{FZ--Gz!>eqKDEb
zaCyRRbbXy5?$BOYKmIC<u$=xRs~8H-o5purUlhWl{Zl5)h4NS_wB7ygAO$f(1%J9&
zL@-%YUU+(30m%y{Z@=YHFkjFl@+4gpg?ab$=4_Qv+co-XYd-}yEw>J_(!^2tF<$ES
zLuF`GJz(3gUJJtFCyCrY66l_0d>u$tMUj4&%7I=jJdBOGI6WeTce~jN1YW8^vQ<QF
z@QOB$P|i$`PRd|#oAltWJsMD9J`gl=K?j@vzS7&qA&*B}c3MB;|2Lno#qeUIE_|N|
zPSk2DpsU%p|8uPtsy~!YSLf>C`gJaC4NpZ(2P!Lk{7(nl)-Sfp#^__;uI$5snM$~y
z=-_^JSr<vci6#Y62I#Oi`M&?XGAwiot%Ym#P^iUI6?@ST56doiLR=NM@|q_r{q^yh
z{YNS}K*h22siZb9HKb)H*o@8TV{_N(T2U8cFiC4Ba9&i$k#P&c)yn{aKlc@zeWu}e
zUGBHHFEpU;BOacWZ2*lUapKh{O!4e&`~msTn$V*rSkL7d0Fqtn2wQV}ux<Aa?W91y
zNS%o*&;aK%5Ald_T0&?|L;LJaEet>H&aU{OkEZTc)yTJ2@N2j^Z)~rP=JK`7&#d&J
zSZ{fk7XVMbr^KTYZ3KPf3_atd2g8sXSz{d5__K4vwSZ6B_?&LMcL#JJ7A<8NQ)i8q
zjSl;Lo@zrcTj164(-d5zSku}!+u*>?pVIn)+F%fHT8hY02W{bQ_L(;}Xb;?bP@?(Y
z`|Z+taUx0u+syZz7m%}sijy`w!yE-~{KeY&9TgF*bo)o+MqB(_>ulBfH9;+?=RD~v
z3rhYA*FRpiNZY=Dw(N=qrc9<x#E*(&S8vb3g7vmInySReNK?mP(XF+n;zGF9)Z|G@
z+2V+oO0h_}Dh~L2k8&U7M#X7KUjC0ZAQZI!j7h7&?LDQHfu9AZxs-#$6KxRKxs`1q
zK?xRY&uC$<mgqrz$|Gl_ZE#siF(JQC0YWVaUV>c{bQAY%-^@~L>~uIp+hi|~<K_De
zS)$wMBT_GX*e$K0IUl~L5F>-dSlb&dqfNx~AHnjkUINJ*w)Y4nNuou0^!WLd0pcpN
z!UD59z@%Dg>RT;_#aSI5_PTMxm+9{Lf@(VSZsuea$&27Qx9-@a$25^*l`DI$(+XF2
z>_44fC5V)URu<)bvxJ_yxtrC3CCs1RbF)n1$M3R>Mh`d75fZfizymUt80fs-63@T`
z@0QEE%(LeRjVvMOTqg^#e4)f%*uep{Wo_05&pBdDE|{}6(Hx;Mi(=WLYjEiNSVVHe
zEK$5?u<}W*8K$%XJ7^lrXpUs_Dj1(3xC|IVw*ECmz3$(<qv;H2cXBojX`3drLf)pV
zbudNQ=j7vBi7WKtn-kGn3%(PP>LEdTIVL#5?zHb~=pwy7a(ia|t_i~7BKxhz2^y|6
zp8aOsJ5Sfxe~`aecAQWYkZ!8{=R0SWfE^_@v-F7gpqRXwuY_nAqkVOuG1#xC+}O@E
zMXz=V+kN)SFrh)Z*{87^V|yU0{DjRoy;M)p@W<RBk$gn>?o^l&>eqcy7Em6c-<R~^
z^wAw46yp9~E%{7Edi~AU2Qvrg%~~FH={jGCQ<A1Uxf`h{T4|&3EcMc#u*n9_Z0#kQ
zSbUpLJu}3)uPPm}g&*lxHxxkO<0rx|RA9x`!Vo6@f~@hJ@9EMn1U@||{z!aCN!i?5
zWq=_6^2#d37W(hi!4>h2PGW`r^4wPw14JQdGGy&bx?)^%r|S9+V)!!kM|7<|3>^({
z(5-=<V^(`=7u$PcH6g9l&sHBBwmumD<y1xg%AVe1#@SB1l-0F4|E~xA;gkO0no>eH
z;B0>DyP=I3^u5qMwOtR+q9;NwZONyzzHZ5S-P}rKlAgV_A9RtZ&TM&f^Co()Yk7Cq
z@mAvCue6q&RUIUX6%2~~&LJdUsg>`KXeCrwQrE53)IrK$_A{+}ZWDcD%&vbjTM60K
zfQm~yv?0tMP_HsyM#Nq*Q9U)>N?6~d@`q<>f&bmu8KSp>5V8sXde^^=;O4EVDQu%)
z*Y9<Ve@|8uuQuxj=ZUlvEE&{reqjon?(V5M!b1=zgp5xb&$knHkJEI|d1<1xPPTMw
zLjz&9>0$U3V+Rpl!mQ7FM*~~qeMT>@J|m2KE(Z3{I|<g5^bw~eb;t={EUH@DNIZP5
z%~DnRfe3!)H*4pjjz_UGzkRMY5pES{u8wT#B6@;u>UQ2$gPLny)=!Z)1fxTOdbn;k
zQCVyLq?cU{hjlogKPY=k%y#tWO4#=jc@UVvK2=y{4|<N7w-UFC-Ge>y`iRK&o*AR>
zRp9uV{b$#cHo`N?gYj{0Kk@KEMnffC1yW-ao5Ne*6a8D>x<2F`B+k~;EiacUqj)N4
z*hjRJc-1Y^cj?{`A@_QCZ=8}c7NrH>x%~M+Jh)QA<sCUfumonNTjwfai^c2eaG_7c
z-8bKZV?#y>?yv;z0Z}CwJ#~}V=G8+yKl`X}GJl*HxW{<MAzKj-->tsk?)^+0v~%9=
z%Q;B|7w#GgmQcir$iNw~js1jRnslT3lPMxIKz+aUH3dv4PCFlM8zAa)Z|2_XnjzX5
zwpBd)=gXwJfTPxjh6tRWXA4M}BeF)AlV_{sp~OWkZg3wVewt%Y+hv}3814AA#Zew(
zyC-Z0Jx7W8!;#Y8+!u&k<r%AHQVwq<c@sEt#)<xx)6e+R7m2~ag74>k$l~boFsC8^
zB+<knUifIuGT~PppP;NGi}0LfBgW<_LRno#=fbm9BHrfK!FORYI5B7PbaZTnuv6}S
zE*8K*KHl5Jwp1exC)@k6Ls@e~7~|-UKw&159$kA?jb9qg5_SD?q4UI*1(|i5XPHUa
zBq249P$?)e6i1gFTp)~p7apEsTtjv_1m?tlkVI`+Wh^hTNNg@2Drj+HC&jHj@^c&|
zv6I*8XPxyjVZ1E)U80kd>{A`fta~GYbURsvWR5?CBlofC)IuKeT*hbjn_d!VY;XNM
zmCiseHpU#O@!=<T8Xb=gUlB*tkjK;!TPE@cv7dQNLXdO`XUc6X69?Vk=7R-Q7E(?p
z)sLS^m}H!y$BxE}!=fZQ*wShZ`T9{<04XC%-n%8^|G`%rKGoiw_tM!(wmrYS>chp!
zOqmU;346qGCp6A#Rfdb~IGNM6z$8Upoes_D$rQ)0eU|k*=6J|JiL{j+A7n`N@FaK3
z32|K29@?Ok!cQuCHk{ZQD^K#%gI>nON#Lg6(GW`;LDD28N03HQB+2NpWHkp#JdWS{
zZbD6%G>W=slEkV^mX`9XGVGQ@;d<F?=PX6ZhPB1Ye(b8`Ko!5-nqFy)jD=f!pAaYi
zJ|C)_H&iFfu6EJiHprqqxOhd1Rf-JlE9?GtLX-3}KXj)#OCCCFEc|+FWXNs&QJ;RS
zYLQO|11B{^6p_l5RoJ>ko*a=h^W;0POFk`I9>|+gLQ9wb%=d8x(lPndl8>xDDaxi+
ze?~_YdS14X-!3YV{{_7;&WkZ1*`p)s69?7NQmkyc;;ll8rKEXRH5roopHj0K#k4S8
zvaaKVnHm|>`aQ>i-H2Sd6!}izA1BWiI@?z$XpoVP_UfG~#-xL03il~N19Uz=Bqq;I
zA@_JoX-e|ZNCRdscj2Q{Y`sx<JL|g^`Du1psjZYo?i=tHe4$4}h`-ry@k$-Cb<<x>
ztsgYfI_>A%AQ3YRmh?^(QuN4c0nS={jWqIo&V*gPlqF)OTja7o>ybWH$HN9CXk=zZ
z!Q&^wKvCGo;<`QhWWo>KTNg%+NZZZIeGVDc(3tVqqSv5Lrl|3GXc$n*7yFWZWhQMP
zKOFI=Y*3%nmC`@;i_L(H;}fO2Nv?(d@f$psUh0#QML}O^EV|@qW&qPOE<4QL^}Tj1
zRG%zwnSD`^q(O$?CJlKj?Qo=FRrJg!J#wM#d&=G}CG!5#)s{MOdx$DUQ#5(?$lseN
zZyPU2lbd8Ca`ze9qsuWrc|~1^tf{!qSE(;ZQlp6PA9?NZm9zZL)Fg%E{qO0tJHbe*
zZK<xNJ+{N`IzlTeL4!<8v$)e)^_rl$sdsNNwgV~n#h7(Ql}!7RL8<orMGx3vvf7!u
z7UpjvW;3=aliL$Md2sAmgY@GZTNY+*v18-<XARF4$UXmjv89w3y$(^;eb%<H>MYLh
zOOYjcduguW`vjqtHRKqQX#=~1Ee9N)OOUKekG8Gk3u6U4TfD}sk!!H^Vx_$Zxp9+^
zwv4za{7uehX4_k1a=)`-lY{_yFy-k<8)h-QIGOmqumq3}DBQC#iIYq?YTq_=ObqRn
z0eL(MKswhiroRcy<j0cV8owWjVS8ilyq7s0)W>>z-RZxHhLF|_rH5kZlGN2&T4#l_
zz8lO8$G#JJj|-iY(#0_5IOZD@U<voAg2jQdHeyt6p(NEq4B5;X&iWTDU^70MZMWk+
zJthB`$zB;TL~M;tKhtiG*Iq0lPIlkuS?{(F&W?y8ciXxYUKw-r=nwrjcy^v1DXt~L
z^F$O|cOS3a9chN9m(AQ`=F9Y^>s41faz$acQ1LyY!xT)xfi6d{FhJ>Rp5yOxq7Z4D
zw%ABFMS8J4lhRgZ+;^*0mAWE|nLT;i&C5;DQ+K3Kt(6tyK_g~NPeoCBo5ky%t_e)$
zcAgUyW5*l05&h49L{aeIx|G2q8t(08c0W($gbAS#;J-x-QEsts(?G)$8>Jto^trKe
zKF0a)3o)#7r2b6rFox#wM;vUTyeQ8WA8K<IhnrwGt4^3PO!_m|d;jaXp=4Fm$DiW3
z+39*EQpgzmyYIV*e&R=FtXJjOBMDIYihL65jd0Szd%tdt0Pfg76?k?=5^_@hE-B$g
z@XWH{xsfjjiH~j9I1{DNv|~^92Q4Fn3pqu%923G-r|wXPG--r<sVsOpLq#&PcyiM|
zVVE1M>W!4hK<sps&yzYTLgK!R?cOPZ#JJ5*<-f_|Zcs}GEsKg8&lF+ft)htZPI6(E
zl}GZJ=+{?KRNS>Ud3WYtuF-1>D@)ttA>^Dt%jHAGwb6%qhy2AsvAzA<B|`zP(|^U?
z+DgR$Rcxs_K?3$0|GfFOMG;@+%Ct6kQbFwWGiJUniBtC15*?J4;P&pFM@=9V3LZVC
zo7$zolkHYJx~PN(Y46z5WGcj*hUPBw%HXiw>aW>0WoUo0w;L&=!jvVq&tt1BlyiTc
z*1N9)8<%AX-U%uM@{WBjxFZME!QB+*Q>wV|^+DiEsu42c)){dflZUOL>yU@H8s24O
zsb{1c;r(W=*<eEj)V+z*xUZ{@E}jyz$BRaotd8=bk18Pi*3E;QKh;sOZSl8jq%mev
z3KKc<6wxnrz)!eH1M3_v#i;%<#;*aEWoB0;j6T_aQ*whQ5^LE+uU@3#Z;bgRSw>|D
zsn2uLK4{{Cc+Et)wF%h2778%mSH@A#(`7N%6ugM%x9I<60;jmjpVDqB*dcwWmp7FH
ztIb>*VoyxbKmK9Qt#2xL_T%|%ZV?3!*51ED95egJt1U}UVpO3vcO!YvbqW@Y-<_*+
zGe>NP!`;1es#xu?>nIDRpw?sG+C7REkP^{~?%u8jp4Lf|Syl@CqoxyEXDpB$tl;|J
zeKqX-FVjpUToVkLI{CF#mgrJ#tGYj`2HbEvcfCXd`MW-q4o6#I?VVQzoowp(?&^~E
zyg?mB%O56Gl<7!Nvk*AJt&YAZ^}}YRYItok*8Z5F!;-JKoA0L@OqdKD)Dl#YcEKU1
zSP>XGbw?|<K@9^+)o-2~sDQQKqQ}}3aA7Lmo)Do1u{){)OkGMC*T_sIjseSCD$LGt
zsNu|iBe^2civPSGK|HwvbpC5zum0st-TZ8bS5N`{ZVt?b_kr9BipR@270AX+NDu9k
zgHonb<oSO*<W}bBx#*~Ztlfn=jcw9+V3pE!=>|YBuJgz~uZ-tSuKWW#B{8*{TIX;E
z@Z96^&8kfa%_HvZy%OSxUfNdQwhtKe<2WqJrUY8y()l4SQMlb=);MYloWb(3lO~Gr
zUJZ_~qX~n@KRdTb5Rf`6`RG-k0#2N%HsHM~2&;rE36_;~u+{}Nv|N^l*)NT_+tva|
zT^qKALZ{>LbQXWmbvdj%u0J;-!w(-jWfnie3V}g20*TVHusL{xBJ0PC^KmA_!=_e<
zGHK{3x-E^(gL1v@)7<#sds{H3%o4BW`!bl;Nuk{Rq5Fj%F7&6=AIed-L^01_!O0Z~
z#9q>Jd??F><dq+c895dxq0ScRzY)i5U35}n87Go9m>=E8X#wqJjZ1vxVhEjD;?PUs
zM7lxj7yiTM2<lPMb*K=<N#irujumjC+sEA1=!Y4C56x_&wTmFFis#<U948Ex;TI8P
z2L7C`%n=R|j5(0f^#`~Rt%;-d!=~^vIrm;-hcJX*8h>Y^aD#7M@^dL)Qygn#__()8
z2;5qSneVal;AT?#s`G#es$DC~95xDpRGZwkmxmX&=L@(s{Y?=1{C14ccR{R7zS~w|
z%m=Zc`qRskGz@whaY`2oLZfv!&%>G@5slO-);JnWbB*{OMhJr1uU^l)$dAhl0urY=
zXlQpoqowH~2+m7Wj}!?3*uR}9ZM$L&rQ4q?hc*c!*0xeKCR-5uGAub{OpS4TN7S^l
zzaZi=uYZv~EClUn*SV@LBP5>n9Ue&&gj*%^=S?xfP|ja)Tu3m26BrC_UJAn4q--_j
zhzR}~MkQ-&7~y9m&kYVSA=u1J2K>4tiV*g%0%SK8;}$Yce;pLUjgzG^ZjEBN%8M$A
z^HhjSTORM86T+-u1sema1S0a1zdUfKqIZ-wopD$g21OZvBDYH7S@J>+w<Hy2OsC#5
z$%=qiI_VB`jTG*P1bEbr8zOM;$S&135p+8yH+?pc!4&;spzl*dB+rlioXHVI3C-Zi
zVx25PMl{|O6&m7y00030{}h*ZJk{?T#*NJEy|Tw~tm7Q};9NpOOUbO1m9L^u5h}^7
z$V#O|itGlJ5{?<7NQ5**$W{m`e&_e^^Lk#-=eh6C{an}e?s+ihYab|%WVf-=H7$9#
zSc#{*BvWuONWhtTNCM+_nN&G;1sF5=UZ-B9;N7jtfm3dhP(b79h7kpL3~uaJPoSXY
z#YMRnr=*bCoqt@gT@h{d;ri<{DL8YmiQ`I!G_nZAi|?wG@TMy@y{(c0ufeD~t8N*n
z{CDxC-(zLS{Va9aKTbjQobvr)Sy@;HwTpesQvr4Jsh4-v^uRgexGH~I4hN6XC*w0!
zaVk=p>GUZ*+@8O~k#$@icQSjP2c)Rsxl!`O^)5Y3DfInar>=nF1-FpFa00s1W5QFc
z^|5U-qI`&P@7`Blf%o0j@n`1&;fiK`yx3M{l9Z>2{ENqgm-UH|e<i8R?`nW^C-cX6
zeUuQCIOBI~o`_lf#C#%~ArfSCS$Ncyac5h9?5`UdF!YVkCsY~Yrt69Ek?+bVBVOOB
zw?PvN3+G#tql}<AmEiFpT?I0mE)U-e(}bt&_eZ;&jZrSpm#%B23Z^)dz)ue}p{_nC
zpJil%ebvqlg5Ok;Kh^!8TB#<M{_J`oBu9nat=NQqUp2gWzBt+&p^0eH7pp8zQ+zqn
z^g;Ez8eHS~tqY|!;b`Gm_-xh`;$E-PUs@8NK6rwYD_jGm)&A}Qoo2B6uGsz}jsSu4
zOx?Rmh`6`ad%hvx94{qahSfeIz%tYP>em8w#ILg+u0KYDjbPh3@d^Uy&)@tJ3?(2@
z_haiUKTsODbff+r0j8&J53#7IVW~-@Kyp9e8uK7L$BzI(ow}2hG8I@mxfa{q1a8F~
zEDV+);Br@TFu%4kGE_tt(^>$QO~)JG=c*y?Ma~_!EJZw-TjF;c19WeFR}+&^1Do?`
zO{0JUnB`7|RV@SFMml`ffvV`eFfOu7Ob(l~1$UBG0B6UyA!Fq#$k8l%U8X4m?Hw&u
zdDFl|KN;UAl|jf({+SUV3G3>w(eB+q_N$6z3sGfsB>SokOpBq65J~BN1d#r6X$$Hr
zVcEZ##k5ESaa$khCS3q_<QVyy*(yT7dgxPhp%8o}`dbOx0b0p`Ou!KZxa;`$txX9a
z_d-jODx*IMBS+>|W8^V><(Np~7$1gW$`4MY)3ChNm2iKz98RXWZM=P&2erobA(gx|
z=v?q={E)K&RW*F9IT75L<!DG*3p0mau+zVy^)j&DGf<GQ!iiF;3vAgVX4qc065?}F
z3KPj}q<~Kxm@@cTZ??+}A1I&7<K!ig^Twh|Ly80QnU@K~a#OsLYKdy=6vy-kms?LE
zI~oS|JPwsJ#jHi-Imc`<5ZuqEC`7Zv;z&~%??o!)V%vM`<3*8JbEh!+4m+IWDhpHR
zP4N4swFos$1e{xs8Tc=-gPm%janqeKx7V|a;wyx~Zql;0>nsPZHDA1({N5Ng`Hp;+
ze}$0p?U{8tnG=@3KQ(l1Hpc2JfeX)^h43jNVXaz#3-|ZLEkB?eVSTB|iw&KEut`&Q
zR1x6@)1Ft<LsTPlyE2PpcnX3mWvY+gWIc$_4xd$cX^6~wSs6P71o7GIsb#`>9t`n1
zwW-kz;c<QGn{Af>u9TdhxsUL|i9?$yugL%f#E#Ez9}3{K<`T#J5q?NVZ}{_muL0Kb
z&r2}h6~JKJk(ZLO0yrW3?dr&gKGOE+m>Lucpegy7yVZY!I3(<LK>D0Ms9r&vx|;;>
zq-L4<5TlOb8C$|rDSf;)*1B-;j{sbs&WfzK2;-B<$*ZfCdbmiF_6@KQL{y)fcD<hn
zB&}AWwt4BHM*7U{x(q?MbH&GnrHG<+e*3LI!g|oK&VQ@SBZSui0|s*~VwkH5EemR)
z!26x?N<^X%HZ7_b{1K5rVe?jZqZkU3^1Jf-RE2S2=$Vq!NlE<pF?p=XhJvFt7hu*Y
z3=Piqrivd@=ydvNS}9J!&5ne#t;r%dyEa{06et7E^XekCQ)C#~>OLv-5{2x%s_t1K
zS#(B2GxZG_I}UcwGVc@v^#=1ngJwDSEwwwcJ|`p3>p<zOjW{@LG=i#I<WYD?S?+fU
z8Q~vXq@wprp#MOFQ`HLvRDN*g^>{?a==L98k1j}}B`Z<(P?;h|9Zn4GsUd^!l4YE6
zl@wz09R*UJD#5VS$^O$9GS0+_zbRqNzdyTeM|-t00!y2RWqB#kvpN#K%Wnf?9#rN;
z-l$+ZYwHo}b_!w#EuOJ_lSSF5&5bReRUs7CLf?9ug2$QaJ2S}ga9mPKFP&0@jlBnX
z8?zpU|C|_|T#?76FSFr;O9T*DzVDU{(Sy0Lo0mkZ0*+-Cd@lQ=4sFxoRa-WFG#J?o
zAIVh2-ZEN8%M=j`O-H7U@9X22<DccXCzOy@{itz6n+BX5-JFZ|8DP$9T%>u6GCaOd
zK9Nb(L}FyW=8Uo-PB7Oh1W2hs`M_(g9vv<46dfAPWirBOzrefm!wmoXOx$Rlr-i@!
zgvB3B8bOTd4V(RaRoGG%_he6Nq5Q48mhgx%918@mvpcKdj@?n!&NVFzv!pe1jF}+f
zdKQ1ovKp$dck>N(YeBgyEof$zig3Y8sEs7xa}e|1vwm8*|1wA<Y{?XDKffOCm?Pjt
zN_n$Gqb9ZlQ8fFO%^-P~?nBt54quy)$e1r0$nKYyU!FEcvotmCZLm6W{qnXyt|Vge
zy5i8McQn+l@l3?UsN+V$$!wOx>L_jzVhY&_47T-BI0Dr1<??f*sX;YNmSo{cE>PlN
z6~1bq4wJ;m?@!HCG3}PxP(2B(klr29?<0WKwPEUggfgmvN!Ct^7Erho;&aZKfQzHw
z9~r$=M8NO&0n^qNh^ervy;GqE{}X{zsSEO`JVpO>)6oJ35=BX5CWb#g-4$mSEDOi$
zwF<&c7U-AX*yXLQ3YVpnu4`J-2t7kGyRyXs!8h_8`?sp#tpeA=vWx_N$PAP35iKw*
zmUh>{Q5lrTyDzTUib6*J!ATV+3)B=k_}$*8g#YwMByP70AvCLuiM17&(fccdeTq2J
zEPgcWwg6IU$92>a!1&Hec(98CjxMphk`Lm=28Yt09$Oguy+U4cACSkkkfgll+qf~;
z{E@xkFAbL}V#3e0$s%lmOH1Sl2jZABqjcP8aBmg8dhe$UetrJ;D?f(~%_D}S%QfcU
zIcxcAic!z<zNhCr1=k_B-q3$a#vGLffid+_l87y!wOpBE!HX+B54ld8A!SdhVaAd;
z<kE}H&uFqBXTaNw`rZ^zZC20ATo%Jo-%2OJI%ZTJ|684+V+zHrJ9T6;QB=>oRNHWm
z8A(SuE`Cd(!sknZi9Wvw=rTPwlN*`AB6x9s)3gb86unklV-iN8m`Cm%c@_}b_QzH3
zF~KBD*64a6A*lKWk2MstKr8=qkaUGHZ10(MBr<fe!aJ|*r3WjNNBv_7D#q~itEo@8
zB7m{ZO8!$=hvs)HrzEZ#!RanRp=*X8Mb2d}|CzI)WX|raD2EZ`lKHR9FYzHMJMz8P
zes*k1d+K9(&Jdb@<$1~meBf0{+kF2T2coK1I_j1U5Glv6E1S!UzSE1BVkS93Ov}4l
z7Q)DZzM5C6EP26KXzvkufE$#IPgKKIeZ1>#PvH~b#s1&BUCYPTLw9R~a$u}Jth`CT
z>^XT+UA#-7F_{<tib>ZJL>c+B@=&|D1}_vhgvQr9@Z+uU&VlFodibRl_C-3F7glo5
zt3(-d5+6R(NVL#{zNy-&;}g7i?eg4nC{qyOmJ$7mUny7%Uheja<%3^okU+;{A(U-u
zpC7+Kfx7b6>1#Ipc$R8>VflkF=A8Ez^lDO2l>K?{F)0DyzIRyyzbFPS)y?hvOoo#M
z_bIh|0(f5^$XT~v4AHe3Q}nB3yofu^mqimqU)b{57P>g&o$=j$U`NIlts!->SwVQ2
zg*vtvOX3Jq*3u&>GL|1)b{Kpjg!hVit*xz6_(Qh46)>&~=u3M3cSRVPANI*S3X*}j
zt48PJdR>T8o99H&ir{6Ue}Xtw7D7VK8r$-8@$l$)zH@{qZU|l3n#UuL<A=61k*?_?
zC4aU&{gxP}W&A$f;8ehCswIzqvM&By?TaV0iK8IBVSrsw5gnyNfux(d;POkP8463H
z>GaWqW-3bPDfVM8eXNTkAN!IT{iPtjB}PorN||w9yR=Q8F5+6rMv330vCrSmcJ`<W
z7FTQv4hWH9&cSu~H^X0Cdp%V{Z!)-pE|}`%N=9+|rOOlR<rtj9viE758cI&yres%>
zvEadX(8pCCJ6z-scB~T65$WX<t4BeQ*1u;IngWz5MtP!|M3~$eOVX~TApDR}SG%er
ztp4b<eA%f1@8Bh|Kt>)Ia=&+Ai?9-e?$+d{9@0e8L&25?1${I|%Z+NVC?iK#hpWO_
z3y1#^8`l5UN496w$EaCltXR(*NRzeUOc);s`euOcJks9}A63v9{8nz=H*Gw!6?*DC
zXb9Kyo==slRPpBY>l615=pge-N-EcHBX~%3Z(U_@6nP<`EjmjFhGokNuOv(m(|V>N
z!;t_n*DDPgjP<n$YD=j#6|~zfR$T1r_|U9p`N%;BHEeCXqd^Sa(D)&<J6#=Hm>u1Z
z*J&e=CEwv@t{KEcoLuU8h`7J)uy^`5E&NnsEB1YD4j-O)0sZ|%Y)jx=zWGcO%XFK<
zmd`XO|Fxd9jv}HXxFpPavj$90Y+2U!1s;<RduLuCLPcLsxFACvF2>jWTKa$oi2}j$
z4n(Lb_2g#MsX^S@_&$@q1-z#RF0ET*_=|G7@4r_nI7=k&7zwk$8B@E?FXz;8hu2!7
z^0^YSJTBkxEwMn;T5ieZUIJP!E)zf8SHQE)uQvI%Sim!zeuzzg0NZ27Hoq{JLvpxK
zNLq&lywa$XYD6_Wwmi&gb3huuv->7?Hdx@N#oKp2nyOfv-CgBhC5}3$=N=dDTj0OE
z2>oOk74YAkBMTlAK~Qp)<dqN$q_RD<@nup5Nw7Gy<Fp{|5!|BR(k$@N{!dcMXGM7K
zx<(pq;6+&9w&N8H-g)p-;w+hwt8(P;HgP#};Y=N`b=E`RS$n?r)OC62`Ovm|-DQKJ
zr}wku13=i(YQys@vf$fg`_3kV1x3lVqHY|(G2-Q--~BQu`qP$HX21l?Hvb`&12mZ1
z1x7}FkV3A@`{&;Ee`#sHW-ToYPHgaW$|cN5fV;VWy_4i0ns1A>WbT|9`urU7o)N^+
z>%O$tYv&Se!8@UXN;8A>s{pM(QKI;w`}pc<%SGD9yOu8=#hXIe?|IPYbs`A#$TbuG
z^qW=`KAzP3iHb(|2)m?wAw2v1uj1|MZ`ymYn15SIRO~plC${9cAmq273%#1QNPB1%
zo9i2Ef`K0E%?F$XFnl{^IXhvA)^L*dVDz9dnyidfe>C&qG249;pPpq}T&TEgjfF8f
z8|_u4<#@48gY%io;T4*)|9_2!xkhkIiW=Eex*j@QaTRw-|7cDAmg;|b7<p{oupQyt
znE1yX^G$n=c3PAvT`a^99j`9feZ9biE<d-lpCwFK@n}K9m;qW}kK7ch;KX=H<}R&|
z%=kxUE%tI{aEG>c!J+~u$cB0Ac1yEDuzDc(evdxB#2$D*QqF;dEoUDfU>%qZZWKD(
z>mzzwC+%Da2fm7Remwh$4J=lEg7H0iNXgLFDDdQfcFvA`L01mgU*+ewb=AXD-Dj~m
z!HggJ&AdNkkrQS0h51!u6r|f~MlwI<084T2qZ@_X2yFH*oC~4gOIwWleSS`8pRi)i
z3*iA<q}C$|ehLIFZ28`%a6(T(M~C3ehZhmH+x8cbQEy&+mED938FtczGbW6FQ!edV
z+Cs+Eq3<2qY}{}&v50oxD~Q1jc00(^x@gttwL3A-4T+HO<Z}^1NcGgjfplGHp4xNO
zhLZ=PU%G3D>xJ<;z3XJZjV>aU>Ye>9cyUZKBHwa@DENDx709#dqGn5l`M@1M*iHN@
zvrZI4B~8`mNgW9iG_{MP!U7mNV;P++ErAec(R95_BwU>Q?eT6x0M}z&s-D+NLeS97
zz{!P#Rlbkb^Sy$&nC2I!eo-3U(*5ecD2)9?1*-BVA-E5XNlG*H{=-jWsd;e{M&%vk
zsK13_9<$%*l)oHgB}x1N93(`kL5!auiUbvz#a;&QjO(i0&tfHEzUIO6!+~OmG2Uys
ze?kG4nWf?Vyd-d*+;(ofTO7L*itL?al;A@2^UGBu!JVV~hmf5lRy@lUNB1eC-Q{g<
z_8t<{PBH%x8ka)Q;a<s0`6@87Il7#hL_(|6h2-j+GB6hUYR$>Wv#ct{%??8(#9b;4
z^YxSk)mH!B)`JAlvrqfAZ`VcDNj1fBMR}ZQiLKPFQ->!DQM~`HF7D)K5>Lu1puc$F
z(itTUJfSTq=pQA6n?I%5K}iwJcN<vmp3%h5JBN+!l_+qV(=fZJql9A`+PhyhYGFg+
zwXar76fmtB#Ck#*T>;~I)eG8)Yw~UP9oIuZY}c36Jt{cfsv#x8OhOvTR%HLOKD=ZP
zr>=Kbh4Nv^{Hfz4_$iOyj8`&b<VfmWt|N@5(jRS!t|j5i(_Cwf!$x?bCY`F}ML^?~
z&8K8$Nr?DO`8H8$j4+Gc{hmA25t=%#7x0^eS?7%#<`k$9tkq>bFGB>^<}_Ps2MLR|
z?-jo#m?HZ>j|rhRB4&m&-WP_FU~j4ZkZs8fTO-d8uGnj!_gb_|`Iru#25r);bD-gg
z*f>wc6AdgHysvjSuZ^+Ed#USffxBnDqdJB(@cYQys>&KoxY&`02*W^NBljMK0S#Ox
zFgx;>6Olx*uW~<Zfp(vf8ohiCbX>iu;(CIBomz#vO&NZ1-S7m9hp7hKdVBVSajN21
zhpeu>{6^G?Ek5kaB;w(rZ(*^Ql%VnQNXZrZjTpTeQx*1J9S`Q%ws`R}{79Ej#pk~f
z<hODCSzihGH8%3=#-<JULkq7_2-pbH!>-P!EovB5e{kErTml*Hn@KGDHe&ouhWeKq
zsyIKpcJy<U2;!$Bz9o@1BD6wlGJNm<`T6U;D7pY{U*HMgTCl)i&bieQR%LK2o_tp@
zzzsVgsn3-~7Vu}AkNs7`;NNuyzw0P$$dk#}?qhIPb8A;okCOsSYj?>{1u~&`<=-ib
zzW`bDQtC37Jd7qk&>t!+({iKlXa?N^T*<X}3omcLNp8326$`&;4Ka0{mkj~)cV2w|
z<fQRRf@r1UH%V(5iym{zp&_TDadGzt30(UuFyG}nOnXh&;j-v6hcI*B@t{&M<o1v(
zn-T|T%n}w^<^1M&*1FgF%`*{1<Q+Sq%G6J*qrK&k*lGrsv9JD7--R$o{w(VFrH3}~
z;h@yc7*kxiDZZ(dDu@B$Q^zB;duV;~Ws5USR6GpyzsYl&A1YSd?uo&@w3%%W&h6!+
zBIENy%D*Na+zWIRZ`;#P<88g~mFsMRyl+tjlAhe?Y0Uih^T=1)p@&8BQw7G@6W3@R
zyoD28o`vRz%m!(1B#nEO){OA0eBF4vKRY;HAOBRSGE8gz-K0)&Ho~@5Q{~d$b)a?}
z*hY2!LF=M9aWg$P#N}p%gn}?uu*vn^@^7A?RZ9dV`brx@!~EeoS9=zSN(??d@ZSvW
zvA5x@OQZp)JhR?KZp?80F3`l4{*yMl-=Fw!Mjs!|%;!oom~b_FX)jaq9BsqyIab?4
z`bb^ed3=<G2^$|)o0r{Mpxs&jBwMXp5A)-)jzq;Z8pSMz_1B9<T4%wFuSz@hK#HN+
zy@^|;wLLN*UYc5_MaL}18MIQ66G=Y%MsJm7!>6AiXZ)8IO*D<R-%i2GOkFm!;wmlT
z#H0f6omHAi)m@&jcVv927z<t7zDm2)5x}gP%7l^iA0~2L$Z)AlEfz0ZrO7?bA0ho<
zM)K_BK;Nh?db^SfZ1=3uo<;1;FWAir9=qM*@*%p|8MiU^kq8rf<TGb>bgqNV)cWRF
zK3$ZjT%7K@#i&b)<&Ur*qu-YbSk>}L;PK`SxM9wW?LIzQ>MESzYtku_-bBLO!{mw`
z|Cn(hLhbC&e_Y6HaWa*Brvp))lbu(4S>W0tr_Qmm9_H}}w>rq_K&<KYu+uwM2>8++
zOyv2nC;Ex8Pp~$w=}hUr{jm;yI}a^4841AgTi1^teOjQ_UE%YWXNTSqoAj&@L71IM
zn2z791uveG>#Gdk=buSG^`T1$j?h{n*J|R4*_lme7`|T8Q#SN?y9iF0ludu%tcfD8
zO&P>n+%OJil871-MOmKC;@3|a$f;auiT36}-Pb3^_il-UyUX1!BSM4mu6Rq$5AxwT
z_tmof!IJo+yjSLfp#~g_vUa6!6u|EI-UmacrBQiswelLX2L8-VPwN~LL`JQyzwzA-
z=ovY&VE&B=dyi15i83LEZ$A|0Tad$q-x=2AJ|Z@IO|$M66@j-tE7x{o1<e2Qwyl^V
zV(`U?V{fV`JUo0Tj}jD-ZawpGp915aHR6;HByp&jePfSURKmuu-ECJ+YoOv&`@-QV
z2{?R(<J2h?EIl^p99h)Bdo5Sy-LIuU5nvm(=TL*O@Ygb*98GAh9|;<0lEIeMX;ZNR
z0vtj;%Fab<;U%`><*+OcNk}hka%AYMUhDjuo7$+=>AB>PERWAEnk!*EnlQY{w3TO8
z2l*COzxAsXFrG1YA+lBrL04WfJ2sGD>{CW6T2w^%f&C>~emcl4r1Mli(M5?}Q@%J=
z8H7N;cHs*o5IEBG*R_(N<(SPp9i@VIx5dNHnCgP$=~2tXsfWi^Yd+UHRN=;*R4(;}
z;nR0iCiIW$<7`!E(g6tqru4P;gfcj@1B1TazYOrUf%N>Oy*hkI-iJG$knvnP$ILL@
z2>yEO7rD+8Q6B!vF}atFpZ4l1ADv7PVK%#ZE>Q!g{@dKBTStcL#nZLRYNiN%B@tW~
zs)?b)kMmi5$tbL97ytOj4E0xilUj|muq8IKTjaein#k9#zOSd@QWL>Vmr?&aQ|gzo
zMH0%7wMq(C0N1yc-tXXH@Z|P#^}Z?{IMy~1<Ih>(ue0|#UomZjgp~R9$ZH|PXudRy
z!0@TwsI!!QEry<aWH%rY(P%@F94OrgS^bb-!uzzqdZpxnF{c__`MwnANm{~*wB>xq
z4NcrUmh@j>lM+1MEET!!v&8w#iI|Rb4G3t>@cp_h5A&);o}|;3_^)%_zA`T&j>^B<
z8TCyHNk7%Xl1^B{_hz+pIh#6C!>l{z#6@92&=DcoTB3RFK^hk$#D!{myt)63A9I1F
zdsKui@l{J(Rcb;7tDPpF&z)n(rkyR<;%Yad{KUt?H7jN45&pZ&q4SSc^)z(c_0UE{
zJ8WKAy{U-i9hKLfF3-?xWh8Po&Rbx6*b7U;1$nsV%)1+Nchl}_we8Z1us~u$`RvFO
zS?sO4I@4C!LN8gPO&sL5fS$o@jo}?>+zcuHw!>$L-Wea)>7D}6jk0ATo=8C6s_nGE
z(j@(S($rN^X~36QZ+T=<6w6Tu+mCnsq>m8$xe~Y0FvPmt;^!+28IGsN_A|}X^^E&#
z?jJVCp2llr9Z^B#@s~TZn=a5dq}chMj5C8`?wIVoAzl<|HxOJa7wE}6fk{D+O<}2A
zypqDg4SuVA3vVAR&<RB;9qr$!5KU*d+!@IZ{s!{V2;&9%meijc4@*)(sN6qYe25iU
zch*xT!{+HdE!-R{jwZ;Yf0Zn{%7nZ#-W%f+=jhLCg)OPKje!^E2P1X=($f9^1r){o
zq8}G5>umjDgtu>$y$`f4(wg|fzAFd+q&u&!4BDC)!9LuHZZ|nclPLIle1rEaJvM$@
zVqmf%c+}P+6ryHnUNP(?_Vv^BAD{CMeVsBuiv%Zuk8gsuMVf7A`^QOoY*f<09lHz=
z!#c|T<J~Zg+%V5Ex?zIeRWV2neX7sk+ikWR&A!p%xm%Cbri{_oPiKq~<@LcCZQU9g
z^pO@dlR;20`$6w4(U>PD>cKo`@{~uwd)i9$hEXQDQTp!m_Ofj(dbkwM$z7cEnkFi2
zx=+Y>gg)sPao&T$S^f!fJWa>wwA;aZJ5??Z)5~0T|JpuJ#`b~zIg!Env?#&lxw9g}
z^sv!z!;wHTq8g6}352B56PI1ugu1@dU2eoi3M}ZtMKz@b)F<?Ws_?(Bn!nR?hD@$M
z4AsSUNqebQv08c{|B<xhpWo?Xp>Br?7~JHdQfwR_-bD8+mFvvhF--qgef+_2A_-eH
zU;f7#@`nCD00030{}h*bG}T`h#?55DhLG`^XZK$7_<abGkRQz{4Jv6+A&D}iB2k$t
zq)1T_iA;6B6{TdTBtwSCOok-N@Ou9`YwdN;Ugxay?B}z0zy|N@KHvJ7yk|=1oaJfA
z<S+G%yYi7K=XZE_LwY~cU6T=TbB`X9>UL-OIyNz#QgnXHUmIYmj}N3}#OXrO;6Sba
zuV&_nYn4Kp<%3NBO@SZJGj*WM`0LJlvz0k=s8z^bVwlOi5G|`aqm4D93XHdFzA<N>
zsPEYMaD<uCZEhaO&_?-=ppyk$UCc6hC%1*5G3H;oc#)027PyR02+=3Hnd@wYrPf7`
zGiTKE1%oRz5qteouFTOMrf1KhnCQR+b6+t-fs02I+`^mJyx{o3OqMdS7t)(ze%d|l
z)wD$eDMl<yWN{z!*!W4BecCT(MYqkt<^pw8T$Wrje13q*^@aCmE&Vt1fM8cFn}9lQ
zXrAKJ4jp1zJXm*9`PU5dYxk{Kk0WZZQCvD#l0L$uW$x>C`Z3EqUa<B;eUmCozqfMp
z{v2bPNpHB!T=9>&?(iX@V5s7EfoBMZ*#t9fJi+VYfd!_0ZgrGTp$b%JcD$Ualgvl0
zj^m2#Eaa?B@QX4v6-2CWO9_zu#T4DYSt{M1l@tqk&6=2{j4Sblwj$Nj%umBwL0bIm
z<Z+$Vr)et6cz0m;uAfOW%m-bD8rgLmr2RyfZtEi@lvc|=Ka)7i)ZSOT&i*+UIrljv
zZp=&xDlVg@cdP$0MSq?RE$QMRRi6K7>~B!S-87-gCAtetj(5)=3YzheDMDZMJP#?t
z!)4uk+?OThk=~B?9UleAp;RSPL5d<aD*Ntp^kO9|UwKw1Z4@R0y}S4RctORbjy<P#
z{9_}}GB0pg3{l8CEQi%uPEuj_Jx}*DlY@-suZq}qSCs6xGkx{Sj0*Sro93$vxyUzJ
zoNk$y#K}w2$^Y8;sEDC^UCa5xLz*gYiXP0AAj61{QXZoU=*T!9Xhq{AuYF%TApcW}
z9A50yyx*ySsI7eMDQ^VG$c%-4vtu%(RaVrC`aT7W*ET1yy9$#@-LVNgG<h;`^V5;-
zoK$2)R6pSEq>yL4#VT1OsO00f)p`lmRP35KF0Y&*O0qW!6|y{2B%?n*G&r3>MaZO+
zob)kqvROg(_;ipm+2y?H-J-H0M7HKRUksKYS2{D#3VW)OA71tm^DT-X6A72HLMif8
z`Geb`yVXfwqhsIyd#wb*p0hPbQiimPAE}x?uStqEB&&TNRmR@0d^PVL%aL|T`iXXL
zw8@}3%Sqpzs<?Q|ul8+)0_j+}oA;fR9=YSU=c+v_>W~tD>`gINB%=(8nVt$7DUtq2
zGr&<3>-Xr_4!%_)FRy6s@EM|$R*55&o-f*XQevZ^?yEw+dPz6Q<<}<%U(Q?){j7(z
zGh10GGHT@X7&R|;l>zCUF;%K{mk!a++98f6buyu&o%)8;kW5_}lEs;-09Qb$zmL)I
zJ;ly3nxt>C#cMUDAsOBgoG@5xh@}YEvs?z+q?eEVdmkesk`gDjX*JCR_gictOsaH9
zm(g~SquY!~(XF@03zcRFm!DZpXzP)ovIfbV3PvPtb6fqJot9{M)!7GK8tFdr&~yHj
zA^D^&=IjzHkTrRHjLf8wmz*pkExirMg@8?MxofP^{5ExW$|#KtqyEbc>|>C5yRSW!
zIbnmNv^!5VxaeddpUhz6^4kCVbA{f?)v!DLK4fZSIgi@b{l(=vWPHe$lu-v;c)AD&
z&85-E>As;lRW1$k_&EEfv2I&vweL8_CQTz_ioREV)=(xLoFaP|7Ivs<w8(F0(j|)@
z+3zKu%aQ*3i_>kk+kw8q<)5pP4jE^<H#y{yIJqayZ~bL^J4Cc*>IKoY$gu2^KBsnG
zGJwa)#f{w#t+utMg~A%7kSn9C^zAJ3MNRV=+caCuRR&ca`lL#tOL66*;1%Z6*Z%k2
zq;1hylaTc1yz=sUj*dun{UY{lx?P+ey&8EPo=37R6v<*$ZI8fFR!F2OsE+)!!N*4L
z$il^C-K*}?ED_+rWN4?!CN~=pcX>pf6-bkb-A~1mlKA1m&??(rY>naqi-Dmu39`E3
z!n1Afgg`2|v$4xrV}l|u#pQ!2slLSG-~3w`&685@ikE?SXJLJITVe9p{+`w=X%sXp
z;OrxIz?bY&ndIXorLTOn|L+$C=eI>DcCi!SEB(A=ti(Zz-F*2bTv!AP7nN?^6taQ`
zU8%bJ>H>4!ySJH{Tq39}D^2>KVTqr+K0llu{>9|q+Q;|w2L**WwmHY$EO045VLCdr
zpZPm*-`o2o6s)Ft*d32D$0y1Uy}*~XOt!z<I=)3wz~XIH`n1XnHjf^?NSv)Dbf;9#
zCTyYL!(!Z^v7i|yZ1S??Pxlhu7b3oS7*kMR9IYp@%M^AkR40+5pTxqrCbzQ^1vk#0
z7>=tn0T1!RI_$tSarfnlKgkLdM5(t`&C8oW>}MTid~ueTo!Ri>G@XKH$9k1JV~o){
zu*y}Mwm@X~%6Q+~M1gPjj>5WmBkWfX5@5N&f*{V+KhB917`NO_2n#TRNZmW0yB=)t
z3gb54G)RH|)a};S(}w82ot>A<!-1VASGXPZ5J8S?Dm^&Z5HpMzL8S+r@astQQfL*y
zy0i+Jn_PxyJz&C!Be-$Z{j$dQKv8)0jb&=zFhGHYRz`O{4^~bGnJMUsLG^j`g>?)A
ztcku9pWw-h{6W_ZPD^4qpp*Vb<&!>UinRm_CipPm_}l06usCj(vfZBv(#MdQ=gziR
z0o({n^wF7I3Fi^QRZvYIPd+cvwi^jS*X)FNqlhFH>BqwxzA+HL@=08BkT8}K4%O+d
zm%``4^W_CM8IT(9hzaqcK;ST8UzocJIkkVYEq5_MXIWCYw*1b+H*U_{mzM##u{ltZ
z&OoTyTB&^-MbTn-dfMWNEX+fNP5$vRU}1Ir>hAqw2-!L_>a|NA61z^1mX6brTJuu+
z{Y7!OxcnL2lB@vfh|slG-E{bs*d2OOu@a4S<MB_UsZiR}*?6^sj_Yw7UeB{gf+umv
zS2RWuVz1k~J`K`Qtg%qwv_%T<cR}7SSqV_(KWxm-z$#5Gu9>P;5JE)VhCF5Ld2sR*
zw=M%lZyY|&td@b#FDZ-nA5`G@PfYpxK?ZaddJeaJkwrwue81t8D%NlMZ=Y2;1N|<<
zo19bfNT1T*v2K+*`nJ0LwUyJy`a7~u`<L&Xw=~~90}V{u%HC;7(Fec1uEf$ZSL>c$
z9a+6g6Uo`Nw<pyMVBp9#e`SXvI0aUk?F`UD*@0C<#tjBI&@xb*=AeY596n*mf!c81
z<(1ZR*$^^ee5UvGl`+v(mUz@t2c~j9Dv5iHusCSj^;kv)MGBnnny9+aYn)>>bTvlt
z&p@g<iz+U?JmR&jLKoCafeDQ+Cdjxj>f+X>3O@M(<$F{;4CZ<G2kkV)>h)_>lkchF
zp>4*`o^^T{h|ebVL(Sl6Ec?{kOC5J}|AcxP>47D|cNI&PIX2|DPb{!$K=PT_TbWi}
z<PBO~A9`;AA$eQNqG%1ApZt><%+SSZQLbMWKP|y#U~I25p@E=J-`F#4bf9#HD%-?K
z;NQVPmK=sAZoAHQck*jvN4I^31t*}>Sud;aqKT6ks(<rRG*NVyul8XuKwWI~9D*k9
zaP|BSA619m$`V%NZeVQ#{~jq`O(eSQ6S0y|!}a)-%fb5As2%wDZtDXL@NXI_Ij*7t
zr$WA>FUPIniQmz&N*V}p^nH0;MG3Z2!!u{nt&tXP;#V1@4$1O}h8-$YyqMc_;9QY4
zL?_|(H%|>*E2GOV?v(?ZRPSu*vJVGu4)v3%QN_ud;!~gUSHWk8dd0PDYt)}Vu{U^G
zPY&dIm0WWP44zzDymZbQM=zRs-6xe{D7MX3Q&J2*_sq^1Z(QC#Q?{u0KnaW!Hd<HK
zQ6TEeW*IMS4Kh0;YFC^hX4N?c^vVPvQxl}+@fA2&dR$HRI2BiD#@9AnSpir7@TvSu
zK;kKrkkTy*cr3;$uwIf2M!6ypSIhvuKf(oHuF7Fwl3=p0Jv+Y7*88~D5~%FzSB{O6
z!5ZA#$RohIT%YczDrE==boY22OIU@!tof_j$`*-{)`F>GUn{U&zU!>Zl*Ii{orj;U
zn<ti@6jlk9TjIM*{vUTf30#ep?s-=9m$+X&_(6Y#B{FYB-VQw_4w|Un_=}HogiX{M
zPW`PG*ztnJJAhXVagIKT8nJW4Tk|K|oAb=^StEXN^9vCa-&1N>S35^Y?AE8|bC|<2
zKCZoT*?&JAc=Y{F@L%HUkxM@EJI&DjdBuSbvBJ<cF#G-H;y=QCkjLfdb5jVhS60@o
z6+%><RNKyhc|yN>7wZRkQ=F|Ef9zK-0BQ0<W>3r_@q9^>#pApQ0*8x@Z+Y`0NtETh
zwjm3|)ox};Pa31_tncHkj(lKr7~F{?Sn;Z)!-4K)4Aus!^yA&UkTY{|aN5lV^M+>+
zZhtm{+NvpeGJgf6`c6j7r?NxQWlk}`$q1_llv}$rS72LH!X(Ei2Rxkbrc}H&L?_P$
zhtwt><i;Hv_5Y6x{UaC0A{`77^r1++DwhXxA7`?r8o0sbDq`JJX8^rJt;ES39^BeG
zPh@+qK(wLy;`k;5{ED4+qc-s1!nqwKisF2byqY!kp<f^3pEf3j$*jPpaEGOx-TVk~
zdh2*QSRYmP*KTLWuYl8KVMf+FL4+hb4%`r3<^|p0{*)RoEZ3|HukaBDqvcHKuR;d4
z^=-c+)yIpOIA(-v7zK~lcZpAJV1T2~DnaTkAH?U1xw#&QfOnpnJFrB@eKvC3tezh`
z&UXLVKPZZgss=v|3g|dik|@ddPXHWx?O(Yq#X+r+@^soy$JImK-5XtmAf8oIcq(@#
ze2#zL`&fkz?Ig9yt9ym9vvI-FQBM*Thk6_Sj?nOHzF618hyo^sqj0Q23P<OcoVv<s
zcsKGqQ$bb)RSx^Z%VVX%xH!O}kw8N;jF+BBiQ-RojQ59qvgj3>*MAv6!?aac+6Qeh
z;Ocn!<PLclR=Aul*h52{T8zBbCUJ0El#_4D74YD4OTEGl8uX+*euvyxi48n^1<k%t
z!SO0HWyd}mh!`#t_h|{(govhiEh=K?rLv5cP#WqS^W%gMNI~Uio}jy-G92O`>dW1u
z;R}1>t)}T!m~}QOydI>2^P2W#TQ?0R1({`gZpz?%V9pcnH>!}#G~ut;qa$Fl^A_)B
zIn38x4ai#N&gjKyUNVu6Z8sbZh?NRB>sjU!d|U%^T_pV|g@Gh{$?M;EsbH&qloeH@
ziCf8bM9_T(7L9({9^_F(N6di}S5|6+J<liAXtO?)C*^x5`IT_YXmf?e1|1mHJR46_
zHo&$BvEzf{%5c&>d^Y#AE~+<lAK?-(gr=XTtb&3HlK5G4*N5pLdV6~m8^s8zO6QiC
zYN`;mb&;^urr~){=^i;fWBAj9zuKy+;p1i(o}3UGKGlrX6z(;__wd}_%QEVCKlj0S
z@F5LW(mQUH<e5TuDZg=cQ5}!Ay*(ySOoRKY50+1teZY?r_$uz528^VSK4ec^{?|hv
z*VXK{fJ4sUSDQdhoVZ^-Dqv4TgGzdM6Vnn|&rWM&NfRo(=l1PR)PuCr5u;`i0$YyB
zU$oh&1-sJO65iFiFg1Bt%FqC^owAgsu4=(WgJ-<tmNrIv?o8*D1Cd*@8%+|m;OhD4
z;MOOaU~@MQxMymO5A1K`&hOQNQH#gOomh2fZ*Ci|%CrXU-iYZOn-**Y5~n7tR3TiG
z%a!rV8b&H&RtJx1Vtd_F9kFjpFc|$?IHPHUHRt8!+=?_Xs~a`i97qMlY~WC(gAJ1B
z>L{1%)KL?;bKf>=Ian}R&1ao$;H&<xT=b0^Dmu5i+kBJ)f3a%e4GSA&KRi5nHA@vG
zqkVrgi^VZhe#FK^!Ul>bPyFFItOELe`Iesx6vX#QDc5&fBdPOj^Dzx&6xa8Cm-ZDv
zWBiEh$uw)^{P)S}NS7jxh*``%Vsb+&AV|Q>*&6XWS|xl*RFLr{!Ob&lSfBRav+m!3
z^1qugH(V94QPgg26W=0nR<1C<^EyyC)bc}FO%4+&deR%q{t#;y9!%Ss0JmM-RkYqo
zV~>U5;8gt-G2d`q?c75GvX*P@T4SUzQlupvZ~K$T7k!)J(r1OLhfgAm{3I~(=kQG%
z$`Dc5E+;c6Zv{VUq~G9aal9|td{6XA9}y>*kW{_h65d{JrF$NW;#!)2q<woYajz%=
zqiGh9xmi^x$0q{Pkv=)-&`UTTmb2mgZjRB|`x&p|gdw5uQYenuOZ*czl#A6cNA$BR
zgHMhNqTokw$wB@;qO*2yN`9aj-0n$Lj*0MN&QRnIC+7embN$V~*cwwD$bBwY`ga9{
z*Q5#GJwHU8litSAUgnOt8alO9dC--6{p{6%QKCWq18Zck3E0~YQgyC!VOOn=%jU{)
z;@PoCv9LB{1iSgfTr=iGnohYzX!ax_wh<<R#ByI(-d<%V&VgI`z5=T*{UTP?J#&!A
zF~U4G#AUlG`*NOlRr@aeCYC<sD4rKL!a}|ekLG?htW}?v2)p}-5PKLfyyk)-Tz;&-
z;?l&5A%lsuKVRmEgJ!q8*DV;}%BgExUL0fv<*3*E4TX8a&vV1X#ghhT+V8%nMvWEm
zokEdT=NE}`*XNSczx83`^43Xe1uH&@P#!j%W5J`)(VCd$xntl=-QG%mR-{Gn7R!8P
zg~A(>a9Lu&w?x-nn$C(I-?6(=7VNm>|KGfA3<F$G|K-g4v*Ovn);8r54!l>3ayTu;
zz{KQuQ~3YSQ`BR-*Ki@-d0QWQ9v$jy?H(y_X2bjH&_JDOZZwTN=$f^q<0#qr^69cJ
z6(cvytG-x)B0v9xknc3uS-yVcQN)f+-Yj#4Tt4WO>Ha8>prJoWcKyjX4#aa0$KELw
zK!4rif?;(Uem-tf>$u2?*bk}g-V;JNyXB&2Mvfky>P}z2n#F~Lf@?RlG%29pF7!Uh
ztA}T~E#C&ZxH0e9_ubZC1n1(c2bF_#p}iDh6GW`Q$mKJ**&+&lKINFCDIGjxdBP!6
z#S5!#Rch{A#PPDsIQK`e4z{#k{XTe<A7u&c)~T~A(ambqyGuj|!4ijLwd@38!01m-
zDV4<P_pX`O%e4{N|D#1$Nf;>`P_!v^6-LT5+%^YjBR}8ZkB~V9KW0iRUS`VRLgyad
z=eF9oG?dYn;46Z(!9`k7qug@e@-V<eOB-U7EALB`h@zqU)qMLk1w6IT_qe$n-%J^8
z_$e*E92ZJT{zyeeeB!)>qc+$oEK1yOt%P6#?d%R^B|H!Rm+y8#8%_s?I6SN*aoL5Z
z_D+m4UM_T)c?@f#muvIiXY*1x?=54Y$gT<#p~?QlKppt)mHyJ(Dh<zIYTKJjYS0f5
z`uT&Vi;$f;rB9aUFOPB8!2MJW#OD}TY?0GL*gxakwd3+glxrAGU}{1ua>|OLNW=I$
zfgXPmDq_#SzO>a#8y;onZsvTZp+p2N&8CX*H*z-<o!3GB+if3lkB%H|FXlsECA^Sh
z%QKGF!warS<&snedTb4cxwDngVLvvbafXHfE-NmbVtur=D(6V{s9?0JEmcsN4%Vpa
zN0?Ivm>hchNLWq{p0&=~y7K9;7V}@Ex*H+9sJ~UgT^$wvI>(DwGVpwZm$Tz%V{}RH
zca03zK#qcES-Lv|+ToJ+GDl3I=YJ;UR;(rl4b!{zb}+!|6~4<>#vJRHY$EK!wII85
z*w~K7fM>MLHQgo)aPAK~Cca)9$0LttKd+|a^<B>q=NKzUjuHnZCbUshyT9I8mX7+1
zzN}v)f%F#JTQS>pkR%fzooYfu+V)&*>jXq1O&%}A>fl6loO-sIF19N#hSB1e{ol^S
z!S##|1X6~It#h;>Sn*H)hKdcYUXWkWqN{`HkZo0hAJuXGmkPAfZBV1ds~Mc3jffJX
zvdjh*cqH5H*ZpOKTj43Dw>~d(Gv-`cJyQ`sObc>rR99pFT+yZ9jhc{n)6#S_NFJ{>
zdaqBItj68K+&z358n_z}=o3>a1&1o95H0Q1xLhTxRBW$~Zffkfqqi8AR3=+hIacH6
zq@hv3M^!{TGV!ux2w^GueT{Xs4R$5+RQ5Wkpy_?6<M<mc6yEf&lk&HLfkHu_R*4c0
z{nzxErnW?Unrc?l6t_XB%8k|csfs9lVo&o|`9*X@9nOz>WQ~a<QXV&#>mkQ&mzKu+
z9%9hsV&fxAYwR2v$)L)~;Xr-*IZtW@0a50qkXk@XZR2dNu{7$({y8#VH8SH)*Po+p
z22`S72K)(<#CDJOz9+fAGZhN>;(Ol{P@%+BEcA<G%qH}-n!o^awb{8xErV8Y|E*ig
zJSU2AGLfxlXqee}Bzv)r&kB+J;bUp;6zFG9cZ;qVV`?-RR6jMa#JkhCL@n+MV#~t=
z3ij{Em=Zr%mh$ekfYWVLpHOZ-NX1<W=r}XRoc>VBJAcC*YiV;fJF2)5V$S~{(07z+
zXw0$wOtTrv%ehshTRCu}C$=@eW|--^y+F=e$_!WLA{%tT1`hcHn|D<WGA|?t9`f65
z3O3@kk=ei!;pX}I3`=A`b06$BY$`MXug+1O;I@ARzj$lusKO7X%IP14^_(W?Im5Z)
zmGdm|#P@)AY0-D)3Y$u=%R7x>8MQuw&G0v2aB<g%^yE&a?8SixE-#GGv-VnZ-nl6v
zYyU~g@4i-MhjstH&r~Cfx+E|<=@SI)O>6#@y<eCwcSSk&L>uDbuxIPHy`zM>^u$P#
z^hc(SY<0<+83XuE-h3hScaT_j;{1t!a_^bZ)iX|C_8DNpQTn#4NI&7wYY^!a@rrr;
zT)5+|_GNzMNOxJ>>LqqHYj1j4Ucz)K?4GW6*T;zL-?buFz7t2!^4Wa2lga$HJ&yHz
z0|Wj|`;AqfbrA)#`SD^WVu(Rn6;FaI19`Y7J2di*IC`ukL+eyN;Zk@`l=+DcUiF{d
z(GS~*zl++wqe<n2SXF}Y+AVY>Q<6tA`&x)L>D*cE%2z~9-adQjUK*rAN~R@ZzY>kq
zD{co_YX~U{VpsXm5Xj2Y+H<X$;E+?icSy62h|1ocPG_OP+2_Mt&-fQ2N1XBdg3?Fg
z>}s7I$*OvotXVhy_~sX4hPu5zz34N+kk*>X{!bUKMmFMpv0sRVf;}#N&do&2Sp5dy
zb2_MMI*cOb7h;=tZ71to3o)^3chbuWZ6sJzUc1qni9@1~*ZRC@CssKQL`KbOVej?m
zx32BY#IX=H=kDxIqA%-ER+5<(u9^Rxs(SI2Q0y109&Ya@7K+^TK80%{>;8;>O=}BL
zcC6@W*qI)}R?S3Pwq64&TGQ8eYPS)?fz%2s;s>$uYFqeLc@2oom2vq$YbVMV)^Uw1
z_7hJ^qU8Mo)Y0NQcdsU-gE-@ACv#tSkTBX9pl#o%hK~Nmq2Fh^2)oivKbrRs6OSEx
z?B43BA@(kFzNovKkXGC9d2`b!ardHDU3Y>i#&#6g(3E?KqJR9(k-_7{Mj=DT$axiT
zJo`Nm8rw^3U5L+3r%e(Yi~2h=eN>P-rFkk%rjKY}_1J}@W{Sw({-DpeT^TPLitn?v
z^b;%7yVH^`OcOo)<LQK(GR7O9+{}J8NF*J4a-j9Z4ADYJQl8f;A#UMUE9>`R;`CmQ
z=Gv>XME}gFQu$gX3|~6+RmEhCcyO})<#7LBV(qP4{SNhtc-!GG^P+B?*n4f?O50Nl
z#1{W?y{L_f$bUE)NAZ{>+$_$7y;5VrSmszlaxWD@MHSl(2Brv>W43eWN?9RSVDkP+
z02NMQrym&KohIJC@xJxvI6H>@##0ppsQ5USzUFlN3{ezQy>w+8Cvwg@1e!lkfY|TQ
zf|k5lf-~uQpvg&Y+**jNI_azckww|EJdS@vf6ch0OYI5-6_)uo{*=d=9{<dN8w<o{
z+%7Nl<X_fD>Y0mf@=$uUU!B{G1-mZqBx($Va4+;f@2)C2)RGG~)#_LwX|c45sYSuy
z;QlK-PI9>XW^2ys7<SOVCaPuii@@~VoeO3Cvaqt5d7K@<36Ik)9Xt(UpfrDeVVf!o
z(GJ54GYQ=2{A@BHKeQ4Dy>6^4J0y!^eglP;!z<up8kYxCDe$n#i|}~KLb%sNyfc&^
zxj#CSzPy&k$jb})x~FBK^<ZPlWe*`NTC%<}xh#j1uXbA>sFuZg?rrsoW)#F7K7^Ma
z6kxq^(R<GtIVhU3wk1xA;Dlh<Cu*P~Cdjp4PV>owXWfsmg3n^etKec0wN*x<;A6+X
zf(k(Cl<?8sm3Ye+z%VjaMST-JGx?1I1~#OqUQ}A<U(4%w6<2lq4*&rF{|uLRIMsg~
z#qGWK-kZyHuf6X33JFD7QC3PNR8mnwq0mr?$jGJ=g-S}_w}z3D_79<~q-+^kKmVTR
z^T+3T-p@I&b9B!F!%(dv9E0z@<{8o;^jt@QGerv&+rQcP4=BNH$;3czOF1~w_#jhg
zPzV05ak1v?Q~|Efgp2M41rQslnCkP;gSKC9zX<54L1p<D?|5M)SnX4)-~ERSx1AD-
zYkf4}^JfFfK(#V>%d6cI)}=s0@!@926)pH6d8>5GURC&(Z#1xNFBJ|+J=63P)dk<C
zYm7oV>M&eCeKF{Q0mxU+unm48!>6P7&L8}z0k7+&@)j={0=e49{pTPB#>1G3wzq0Q
zjrNE}sIL)x37?N#pcsP8R-?I%7j=Mo@*r#Bh!GSFeH3r1HwImuE5BV$bRj-$m&SH!
zW9V1Z#{GxPz~RO}%9VOONUcldP#-n|p@k2DpXrt${x_RF<TM$4t#uELSQvrUX-}a<
zZU6>`kJ}d3$dJ0j!P`{I5FADD!M*)-FpTv5%DGh^vSSIpgws^GrKQrfcE=h@ukk#y
z57P(RsjSeyvHEZ@xyd&B#RlL#$tZQ#RUekVeG6~#)P*-jpT!l5Z6KyyXpM(KAEKt!
zQ{`+m;j?Zrjc#iT+k-Xd-HwvsO7C}jHBJ>Ue7WIBQ;{v)4_3JF_>dl4W>4H0)hr9i
z7s}J_G};0?hmOGWd=i9r#>$#Vh=AcreQRKeEj;_uGIH{QHV9c>gM(FU5J{C-j@@nx
zS=E~!DsR*TA<eB<9={!<+27+oBr$9QKLWy!b`GdP`w;WP2LVF_2U~8EyO#}2Wd~AR
zB2+-tU*Syfu{9#%zib`%ryHQ^vG(H;b|vr$Cxz|(&W>#)?*sAT8-URx$MukhJml7u
zI!to%VWIt_)t!f}A&dLbr;qQX;CjG{zqqv^hR%ANh-;@qc9K(LOR^Z;jQV~rx?Kq8
z-380W_302M8=RthQ3z%R{^@kK3*&d+#ueXOfc)$g)~E(v5R5&~x)>;ec}Ilo(ggvw
zcbDJGUt@!bb4>>Pw?)vMVEW=MON0Aeyqtl(4B*myo>WpNf?aEuYVK=T!E19x_*Xhd
z8+San?{}dHnn%T#NZMFJ!IRzU%bvez<AU~dvq%v<zv0tWyD$rIBb}8ht$9o9*Ko5h
zvJpYo-+gy~l$e9mk9{^gHtz|Z>RyRBK@seY$|j0`nSrgT6PqvVPvT?xZ=4+x##-K!
zXZM?!!M?Vqk^OU1M3r^Ig@9&Z9Q1UZBVRFv&Tl1`cE6e@7~Ca-UOW~?volFF)fp3L
z<S<uaV_hM<;<KBXQ5aP<UF$M^Ou)cx*VD=&2J9;<VmA9GjJYXpa?BmZAWZY|a~5Mp
zyJ*#)ef%P5tD&yBy2%(KVM6?sEGwp1wB#@C5W%zZ(_GeVMo`f|!SjHH9m&f-il9*h
zovkmM7rGh&q3OcO_mKlf41?EQDT?81!UWfVAw-BC`XX?d3%B&e7;$up;)!?lOQ)g?
zfn=og&D)v>4|(I9#04>wvNu;07B_@d@7m6(30~~<j;c@e5=T2lTZz9<450nCNwaev
zKbFXtriIcaFwZJ<G+>_reD>t!GrlE&G7T3chBipzn&zELw`B}KvPWTTZ;~MPPa5^j
z_)B4A(sgEPCl!KH`$k`e31J9@@A{=oX=D|Ck{g~!1!WP502N<hWN8xWx;QF>W&hm^
znGK<WFf(bh)^-t$8KM*yc*x<~6tQ$qTPg&n&&JsMisGM>fBop+<Wcx;?=fc$D#T>D
z2sa!S!{7s|rcMnC7+&jjut<yw;%8QQQ`5vz;;Tolai$`Y?&~d+1gWrzoG_a7QUZe)
zz=<P92~o6Tp-X}aWe<^ApH&JgT-0SULX}ao+OnuvmkKGn)1MLU(wJ4WQ)b5=72NFn
zi6hmO3X)GBM+!fb!I?`vS9b-fV#q3SxFCrNi!v=c3RUIMDeCCB@g6lyGY<CYX{W-R
za)Ezvkvxi=c=YMZUUeM)u)U0;ZUBF)0$3+A6tLJLu0MCL2Htw;7<cHZ0eBWX_6!S9
z#1z{}Jv)C*v?|vUqzW1Wy&?E%lb#Yb(SjBFowQJ6kJ!N5B12%Rec(%BP{x0RdeE@C
zHrg{ST%tM{f%xIIuje|HQ7(FQBmCCJhKLpHW;TYNCdDArJQYkh;JJ44vJRHAw%Ocz
zXAIe!*4}#tsbagWIDJKcgiF<Y=RVvq0oMjC?`%~yY_f{J;t)i_d>_@4cj>0^xFi4d
zk^j{2PhnTb{uC14ygqqjYl<1j2(~9GoK(kN$FyskB1yRQWRjj;qB&gS)6DJQ)Ijbd
zF}L+}Na(Krpzil+3;1rh$KZ9G#=0+x6qJf}@Z(p3q`4E8F!pkF=k;$I$XWbZ*y_7B
z3I$buXb!dl!MT44hEkfi_0M0`iGD4djGy$VaiqaQN8sHJ#+vxtb!p%7Jxwe$OVCp1
z0nmvvl+vbXqM}XcSm0I-v>IO#|Go!c11y?bacN?}s!uG-TQyA0HT}bSAAs3v#Qrs*
zffX6?o-(?sSR7?mtMUh+&{e=u(rx`tKUk%2$0}oec4^jbF*+<+$tvz{RmUSO!?TTV
z6meu*$M#ElbhsMM{_=s6I?9ZCefuS^fQpd?Pnb;T@E}5@@p+&c-ez>>lVO#`g`?U3
zO38G<F6sHY%c>a8GJA}=D2W{VM@?F#=rAAPslZdIf>v$H0}&eHNaB4l%dh}o{vSu;
z22@6kU!h;KvPCeVj)B7e8X$6L@YI_&B|LPd<VKID5XQ{>I@Nd;;EF@nu1}v7(HyQW
zc=`#T(5K5|ovr{mpT>4*_bH$S=~vkNE?#t*=T}?d1JH8(Hs-(XH-XUKX^z*qaJa%;
zeDir4RK6MExyUJp!v{A^db@Jq=F%ffHq%y6UgNi~z(EE#ax|@cyugNk8OINbxLd)>
zv~F#1krevNGcj&9Va3LC_RZHGSVES~IJHeo5*rrVJ~BG6;B&LMJvO425UNg(=qMFO
zG$vI9J!Hm(m+7(|M=c=dNyhXWH!*BZoa($9&Wtg9F2s{B<}k0EoN`1_6kFsH?<GYr
zqlTGavc8!)+)Nc(n&uI~Y1{5b{~BhbnW?qg=bM3LM5Kd&xG={5D7fyc&VpjPcS8<y
zn!#}<ULzV!2-8*D(q>y(u$!v$oAH<_DDTtKt4k0>o{jfEKS^iBXMBw`t6>wE{&cha
z{ICF`@^{(YXW7tq`oT^gZxe8fzENHsD1d1_AK&I>vLjOmN5#bt#_&%mA=q?|A2U@3
zyxCuKV4-V4`NEcU{n+5;W1jrTApfSHOOgv2IWN3;_09;|6qDG+e(~Xr>jY~@0yk!J
z4G}W#Mi8TOw%PC&A4=MPsF&yEMZ=1Y+v<IW@XuH`P&tDSkNAZ|J6H2z7XxpqNSGl^
z%53ZntmMN{Nr@vFW&*fl=j@6YlOZg6T>M!#$%lTkPHsoF1@ZR%3upFc8$g-Y!w%)0
z{K(a8VRueP2-RiM`JBxRz?PTk%J2j~TCxlA-?I|NE{ad6NFNn+)P5#5x(ndkU`E65
zT_X5=&;FN!DOAXQk?p^;SpeU7{rBGXhA7&-uvV)urvh(x_$hP}#PBVGZ{7`w;Zr^i
z6VF)+T;L3U%rY#93b)7WGwdXA-bG?Kqm}~qEaxjd(uDAMx3A~*21)!ls36aHiUP-G
z1wH57gpn5GM!DxGjaG`+&(gN6>x>~~WNi@?lCnR1Wl9DGrJC6VH7VfyAdJ~dOcX2o
z8m``|lEYQory7oY6u2CFc1xp}7+QP1+`+y<0Sk)OCc0MjLH)B`&^;Y-)H%z$s&A%<
zvS&>cUoGi_;<<q)kL?nO-J9%sER?X|xN5vA8wGT1N@W_eBvEvCyOyzoGX5?|daEN(
z0b0t+`Ibp3WRbJ7Tk}^z1G^h7GWHahianCT;3Knsui-t1V^uL>?U1nb845_uk3eCM
zEEcly$m$iTp>iwV{AfD`Qva^z9X%|MYaiZR(Ol1)h2*;>-g;DE^gd*_^Sr`(53}ET
zaZCe+4-L4~6;r`w{&M`8J&IT+WKvPht+mdd7p04O2Jk_=y*Arc2~UOj^oYu7Ba@iU
zm6rDg;7@e<-O*G=_ba1g-f}vqE75v!cZwn0D`;r}eigi?B-tFmO2XUoVdZgNMj+i0
ztaNxr1zYxajfAz4F!&GykAjskEPUDQ_Vt4*wp2-94B4lP%kz)*BaBP{YM;=uZ>eF%
z-^nd@pLEf+9Nr_%6f#$%UCta)M~Pz-7kt_EkU@Z+?ciYs3=<lUxO6m-&&8xhVo4W+
z!iq^AN6n$~%(wrpv}+(d-A07n)<r+2D07SJ7O?#0?50EyO}w4GD<ob>7g;}mW5#;U
z@X84(<`A0bAbGc1j!MF2l2vX(s}+R0{OuND)52vo<^=|R9en9@WQp?)4P+k0rA(`7
z;b)WI8B2GxuxF{4(R>F0PlmoeRY42)UeCV!LP!&hY#c)NHv$Zg>l-ajYU0ixA#YD@
zQAft}RVga#To`Kn_@FRL6Ss}L-pLc9ifILznGZeba6U~UsZClF1!ImpHHcEiZC%Z}
zMu~J7j~{R|J)wa+N5B7j5U+?%p_`_Y^XPCR^J{xeojTT(JACXS%j1c$xCO6bI*jx$
zCBE%e!-tWDJR1_F@$PdU{^{#<813A!xoAWc&#rzoV;7e|kIipaB~Q{}F?Z;G=Aa5z
z?|H7%Gb4hx?%H1e<xB^2^T1^B&&rr$?)I2a5yHq;>6KgwI;5Xi^YbK>kazs)x488@
zc)~omJK`&Vd-<s`y>dmI6uZ@Fs>F>jw$gFo5&--6X{LoV1+0t@kDpCv$3oxeXP;>R
zH@)>ce(=bn#tdhTXC({%8{AaK&_#nbmS4;#*7+x&VHG#v%Y?0bU0e&gG}t)k_a7l9
zjUsl|x%4asJj!j9GahFJ_7vvl=WQghxbm#-qnuUZVe9!vt?w;CpIz#D{uOcL6}NT?
z>Rl$<%HwBPlr6#SXM|?knkaq`^uM&$wM0Cs?%w!(og=UMT*X)~iy&4%Owx~BB6@pG
z%)4HjLw@<Bb*8m2HgNWd2InmiQ+K!)MwQIriD9NTU0euzmJ?nGn=TV#c{zD|V$9&&
zO}VBmyn-0i@%}`i(F!s2H#Ie@#}sB2SBwc|0sM2MbM92qDj{}!xUvCEA&+^Ct$IC|
zOYQO&f(02+j(fayzRUzP^1Ag-d-39<)qgn#s|=_TXzIU9*aRHX#9Ks6d9YD>pS?0W
z6OIQYiwnjZLsVqM*0e3$xL`EK*QCjeZFj8{Mdpp5mqDz-WS!H4r(E}6+s%Tn@11#n
z;-C?*Js;rPFTjP7Zhie74_WbZQ~FK!KZam2m6H1G5ht?c4|s$ru%nhhV8f$OLpV**
zF&8<{iMz;Ai}M8>xNW)SK;4W1xb+wDTukD`&aD}0(H30jrEo_hBE|q}7`D`8R&wIS
z=A{==Q{0%j<M}&YJ_ESswW>3>#EE)0y8GTe=f$T(J`GicRLE~{Ew4Sug(>7R>8fge
z%+dJEe9?jm2Zz2hQaQQN-f*{W(+>fZ)hTG`@1{Vk#c>|F7H*7v{8EH#Sr7}l9nLJq
zQNX$)uQRlQ2kjeTnNl@{k*(|?hq?|0?kBA=?s~|JYfVG(?+%Dy+*|$GcRl*RTWmTV
zJ<Nwkqke>LekqDBL!UnH&(MeHK?#0BP5?!AR0$;;h@=10823{i`q2Ge<0z?D03(F2
z7R@!R`)J$k#Bw=(*qCC^C|$k&kH9IFsQ@WdE3b4em>`3Hz%f6qY#}sg@!fP=Q3mBd
zL=73gCPPs2953e$VQh7+j1*gy#cf&f5?)ng$f@)5-diPt98x`&pXTK;H_>^oKt37T
zb?7PM-J)n6(64olT@j7j$77Ro$<S#p)M20?j(?ebKiyGO!XKU+dj)QhVR>IwX=Sto
zvYz7KhMSbJ=B|T)@Jli{8`P6>rzA0P+ufe(7!_oWvFDVUBm*n0Mtd<v8mq#0-tT^<
zicQ5oTAOwC;hJe{gty8%cYZx`?`2m<zp=xyZ%^xk$ASAL-QVS~q_`+F*+T<GG6Ix(
zN7wc0f5xZ06!1dC&E<!snkafA<8t-^3WWLkUNdu2#2-7;waGJDxcR4@(J59cymqub
zD!fq%_c(jL$~4r$FY&9nRgc$qnd3NhdZRK1^EHm{UEdcyuPfgENiu-CC<(f*lM3c0
zJh?d=t&4{`e_L)jVhFvVBLQ(P>%IJY@v+>4dN^deoG2A(1eIT=f>&JB(9ij?I;RvF
z1BY4TucjM={1Nn(+N6&DH(Sg5{m3ZYI9mLo#RN{Q5I>$$HLz8H4Au!`T>S6m#~@xa
zxI0#q?9Hu-Yp(IPv(J#RRI&2>Cm(aLEy{`4c&&*QseY?oo@5l~BRv(Xv4C-A{jEEK
zwXnML>1{^_GP2khtjV!jfv8>}Ys9b?RxtELG5^!WON0CKmDhJl=i>6KbW?47I5H}$
znn%JP48r~VRsi&|-+kSF+W7KK!--w9+L-L}bo@axz%%lsWSNIHGRktBD{yFGxbKy#
zl~#1<O5&*fPevPgeLKHPjHqLwO+xtZn{=q3&u5sa)<UH_^EMtOs`zvQe0Tn$!}rS)
zWm3{wxL|u@%lKAhbP=*x<&m<6kbttU^V>D?Zh9<p)tUls#iVdmiZwiZG^%{^um*m3
z93cJflq`OIwR^|AbzQT7>UA+#9e=mS?E7gZiGef18(8J6VRi>;q{cxFj|Z0B0w+;C
z)FEi(K1T<-V91*q301t}W$W+_1rf47a^ydw!_ybf?wNNhW5Kthc16~_7{A@(LQfPO
zcAwnTke#W7N}}h=7r(RPZpDo7-&%B_v`W-n@=(P1Cq6fqwlgEY+uvvVKLMmgipGda
zDWDf$tmq!v8u6h&Y^^vF;Od8%nC5m_G}B{T@^n}v@;KksT#y7<tI1${6fccE#~(?|
zR?HF~D}p0~4%6UZi{llI?UE>AzsOW?HAR@~-FRMJX$5XlHa(x5#qsB==rM!JF=AT_
zYa;Q-5*i=LKT{7CMH4&bh5Wox!c9(PhLdCoVaFujh20m%F#VZXbM{|E<u%Lt*h3cZ
zlhGoHQ&tFbb|DjE`3O-gP+i~r$Q<_Mcz?cLC4fb2yR^AB{UW?1e{?!Bn}cx0?@JCH
zd^od-`md;dl&Ce`a(a`i8Q}Gnb2n3X5Ivbi);|3q+De)~^_H2!&C`=UA5yr`?A%_j
z;^Py<=lKoeB8;Yx!O6O!{+0uc<2Tm@+DsAmiuR=b^fiH`;L6VrHnXGeQI7%Jf78S*
znW{#IMq?NrO}0(qV8cBJxqhj9nI&{@fB8>W!x&bj6xVQ(1uInRo5w%Q5%T`lmhovu
zkW*qCTPe$eU8(c$PLC}R;^C%lCd@|gAX+4+=MXbC{kS$6sIo-(C_jD;#|^<|<9ltj
zNhS<lvfLPde4U$npG97sFn}jfq7^lnOlUuBGqCn^jUcL4Sk*%eV17=&j%yzis&IBF
zu9-999sQE9<v&z7kx<0Mvy%zi4v3FIIukC1y^0YHr$UxzUGU#<CR9{Bx3i3q1r;Ci
zyPsI1fQ{1p-GDnxc<Ve{!@hV{JZN%Y(IlAyJkhH%8(El<TeXbBCd-cgBr(AtX$sJ@
zvr7I(Gvig8&%rkDIdFz>u9K}^&&iJLgCe3V*sE3eOSOm#OEt5S5;p6@QP~s5H{Y<}
z4d#yh!|6PD^Q-BHmN7DHouI}I6tUvzm3m^Xf)7vY7xSy6k)i*5c*&`3Hq>Oevvv8X
z0G@IQ&iZCahU4@tP42bqC>s8^bLSmF)Sc?KPW`3_n?g4n%9-H6#p<c!84E(_8c(0k
z*rW$+4g-BnTevWJQMc!wp9o$q3_0@hg)ZE3TFFfL$c=XHZdFhEMRD%uF*8#qT_E@7
zGyWILi#D1PKVQX*W3rDaIt-HF?!$*yKDzUx@`Y*c59>W^ewTGl@<kGu`8`e?z9WDq
zMqBqasY~OHy>G2sH<6&1mc}miQV_Lvr0Z?hl|>7l0X_|B65N?h&3-v6gla3dc1(K7
z<IM|Jw&E-#;JkIoPn9NumO}M$FFz}w<CY_5cd?VeD8#-cv{)3Sn(98Hpb|PsbqyM7
zkbqiRSAAbq9LXg?rM3RbsQicblwvRmj$MD~@bQHN-f8QI?rl`TZ@iu?lJ7}yHu)8I
zaI6$MPVbd|OI1Ue3p@}SpbKg({JO>4W$;F6To0vI9lf&LTc677!L$L(lA^O520T+1
ztfgrp>!UBnLpaDlI*=MNL{`8@rWyOI-)rHX(^e^ObI4$r_tj|2Mnz<5l{1put%I*w
z-CSLr_2EZz<2keaO6YtoQ;|GD!rak7X)YxS9DV7t8hT9`H`zAVNAK4|r!K~l(_&O$
zu)I+@^hyO=g?!%i29hx+_CZWC$pAKbsWUb%s$#@1e$}(9WSkHyZ|M&*gkXzDp%iU(
z9AR^<&pM@#UoV*W{y`(q596MQcGJKb%@guPo%)#4oAh_9i3uo9c%5fHsEGu#`BfS>
z1$EzVD1Y5-3Z-F&42O=a?-}>+9rxGu+(o&BxxMDly>Co+)=L{RIi`+X{H%{2_n&+^
zz;6jn)~P&YQab1?7ZM!2M<3G)OC6bNtiZXmzG(68y54E@<!n6}PlVhJ*H;E`P!GLj
z&P&3sz9!O<N<F-jbL7Q=UV!GP5<8{!-4*-A>7f1@67~~<{>tlnXGV}U2xLg8qRSh7
zhEW?g-ivUP6|x34-W*@QW*w{`k6T7tYoN@N0<Jx$ts%{P<nOKZ-XMJT&N$6i73T?^
zGkG1>(Ds;Hu`pO0=eBpB?g&%DM?G85XslU7xwV}`{{b!hlXHXrouoYK+!c7h#kT=M
zjZVwefF_<dok%mukwksN<;4f<?_VTSm=dSdG5OhsManr5r0;&WqvWeKcvJ{1`<_$7
zWy+2Du_1osAB*`mm1PZox{~KzxmEE(i@Kb7H#?3@ln0JFSc9?ay(I3l%IMv>wSc<7
zfGeXG_n(f_!OL!sLC~5a2K|z@-g<D3aBxnh870%<^@=_>#3-P3WbMZQl~KZ0VSam_
zEFCr%aBa#Lki%>9b&gQ<g>YxM8e3WkP*IU}fNmp=4EEiQ1_>Utfch;=A?y7ij3wFH
zAWs6ve4?k`e(Io&Y(NgKTpG9?^|m)s7DJ8@qo-2|-)I>DewWnI3Ou*8H0Xa3M%Mex
zaYoGjv>Pf9T<U&W0$ZB&mxQ|YU8B&UDJL{Yqi5U|zAs`4(ybKjv}^pBwMX_c(K1N0
z(6(C2+-Ly<+rBayi1J|d$-9OSF-X(26ZlacXAX(j@;!S!uV!=G1*+T!Xp;OBo`ZxL
zH15CWx=Wr7{ojv%|F7@|?L|rWYaLcI*t;xzYu8O?q$Y`!yyEMl&HO$Z@9bg<w)Jvz
z?7@s!9GBG0;?zaE6~6B>e}M^zg)YAknOP-5p0<aCQ9sj+`T6$g%o{_2V|SL-<t5^P
z_baBa-S24fyGK=nwi$!D*gpk}`~{-yMM?A^<rQu5b}f5cwGnI_;@35jm?N%f75mp~
zKcH=^wSPz#H-d9d&iDNtn<3&fSi7`4ooT%44bP9q8A9~Y%?&H!(?mmldg}<SmiU@<
zuy|(70J7T(j%Hq*B&_?&Z+udINmR=p2s`g*028T&%*4fUqRM|;{)Mr(#LH6<Ao-aJ
zjV$B#$D{rbUu{Z4e4c+K7-h~JKDmVok8^LlY<xdTd~o|u^u>w)h?$d}@2|E|Acg5x
z)}`~mhzOQF&ac&bh=ej)@&+dg$b5}IupxJZXudSu;r#16ksV$r8PTB+5*34PrK>-Q
z^rQo6&#VWCo2Rat@NU<Kcb7xko6CO^x~$b(>q~|RUIvaEi~VF^YgJ7Dlm3(V;8ZQF
zCNV<T{z`bGdYBAO4sw2xjX#M9{u)uk{87U7RHkYi6B%sY+st>Wj}R}m&pGY286$XZ
zK0Y}`(u4fIU8Ja{5rVq=Q`sxlNrFGQXr9SO7ij;e!=>532=e5L@2;3BA~K@gTjnYW
z4##mur<RTqiI>96+W2RPLKevY&9^#WWtV<I@8@sg?)0Ul`G#3SWz^qOicbdwIpyh&
zzGDQ}OV&4X7v~6@xHDCQZrUIcW-h#scY=6zP%E+F^a4@5*z+X5Kns*47UFlGoFtqM
zKVvS=|3@VMIhMINqX{t^FW-K6X^MEYwq@_y_%e}p?#w0^CrzNmDBVkXK1~z{E64?f
zuMtvT4J5N~Yk(Rxl0i~(mf$t-*&Hsxh?2nru)wDQr}x^=aisqxE(U4XC$9IG+E?U1
zSEJP7#96U)f75xQ#`=cAvIPtB{GBZ;8C8S-0RRC1{|uLRJk@U$$Fuj|d+&AKYi4{8
zmt;gDvy@0wMzSg+BmGDcDP>E9gp?KC$1YT|D%r`%EGzrx-}A?LJ+J4S^ZC3#V>Y#_
zDRi5pT5~&(DmrTP_B+*yuyfMTY3s2NL$^(u+5P)vhMX2@R*vU|j!Qva!l~gTy<O7z
z$IlrhmFSV>xi}wDPbqNvb-m<X@jhv<B-Y9CE+g`23wlSnAqi$rE~qWZlOf@Vbj=Z2
z7Id1)dG2?jB%IfBPJ5L{jtm{!-&c{dq0YFTafFiu3hvxHpD;?4KGN|y`2jnsJ2#4o
zh9!WvwBD|RiW*5gYzTm3oao#DiJbP41Wdn?;JEgW2Kmd`n@i%jQ3OVPCeB3y=98*t
z{|V5eKuw$GcfgChE;!v)(~y8bo{hY+07j(bTYlq76hC4sh};hmm4HFbWiKKP3;NHM
z`xt&x5Ph1|iid-GsdBQk$vi8%r1dDUt55_@EC?ZTZ3(E<nzw2VVn-<~;lodliXk+&
z@AKV90ytbv{ydT5M2F|a&d&W1N4ZU>@TqMQ;K93CK-lI&0}I+uPb5mBMEfbbZevM!
zIiqRRxygfoS?PSm8EK@*6K1yiR}vHht&B}1_|d)DCho76vgqEl%Z<zZQt&r{s7QHD
z5DD*E<f=Hzqc=psFT^!z=vOd%`e0iaMYxoW+g(>gTi`W(##t6RyslVj^@}3bes`YC
z5@p0!eyW0#O&&5DkAC}LAdb#G*)wmvf<s4TKR7mtD8e<z>h@cW5=ir_)cy2$Rb=hf
zu7FEYhPF_BUp;Fn^iu79A#WNUT`UhlUtZ&Y?Alvfi+O2OclWRC-aP{HZLB?H=YR*X
zi1O>F6J*g9KciVy4>eRAfsgOUtHF_yzdax)k7}=%|Kws)M|htTQI8BX;16Bs=aCu(
zRMzzU6BeY7Ts^a`<ioY#=Ib(kClw|1<vxY#;}msNUaK`j8a@o}Zt=}N5z0vASNqDi
zgF4cwW0d-RTn}1`1m}3uRS-2c(dgfxhMIp`UtDa)U}$uR-{3F~eVF<pxZOZN;zF4d
z^DG8HA<^5O9Dzekp`7MJr}1bjNjytQ+7KS-c)yHJ!=Y~1y|(&79I|s0YvSi4f--#u
zel`+^mQ$<4xSf>H0_*gVKO;o=!g6`O=b-=Svk&g?Y2^^{xZTxdKO@kSF1U3uP6a97
z^_*8dn7hJ)ry^&U5j<C``ka1585xIXjFbq9qSstst{whk1PMJd!*^>G(aJtX{;!b-
zX^)M*eKlzWeP1kmY!~DaeeEXahfNk##U#GuRB8lF9i}W{tFp+})!||bfgIUf+#<x<
z7{M~HiAVRaG`ehs@iyL_CDo6)md=h6;jrLb7_mkY^_jTkYWe-Zm}37rG&m8#wA<}9
z?!Gt*tzq+iUAm5?dW>kxbQ(gwXnWkqRZ*13sulb^iVWmNJrn<E7((p#^R`cV1QFvv
zM1`&#H9UG^=Nq190Q8^rJA;>b(Q?YAPPW^0aMtPw@fWKB2o;*YC^q9lRHFvIGhZ2i
zpL=9UItGBm!r(AD#fAd?Yff9(Fo9LYvEbe<46a|xAAfj{38{yB*q6#PgZ%Kv*7IBX
z;OP2oP2mR(YQ4G<nf)I#Y~0iuz|rUf)lsTq)lzcwyp>;YEQuK^Ke6cai0Z))6@hQO
z``e_o_p$K#EHhY=4S1v;(S`bQT<^IDE2O?hu})H~%s^2))|3^j1I62@+m2<1v@BX7
z{H}rt)=D><X)6yy%dXjU2S-1tR3N3y)s_jU6H3k3H?-lO%MllIh9b=Ewkk&i1ryvk
z$7qsitPM}(J}go7e#7S6zLWK|GlCb9VZ}UM3qn6Q$KI8l!c+?`9{XF!2)CRL=Ux1#
z2|8)EAGB8&vBS;RZ+?8v2>R!A&)qns31`i{1^q)-FqiR(Ta2F=!8h(f2yeRv)ac73
z+lX#pw0EeUUf^efJcnGDznU8G!=!CKH*yQBtEv;7yT=4ghBt~nzEp=ujts<JvWw-j
zaSSTsn8C5iR5VgS9fEEe6$za@1Y9R<i=%d!!TNiH^lGUZ+-jYj?`|c7pzW`h+16P=
zHT^=OkcJxM6lI2aDN(>@jjf&CL{<o3Ywjm+AwU&f$AIpAN-)#Te_C~z4c6Xn^i|sv
zfP#0QUU!`et~Q$=?b~Am=g)b4E`RV4`qGl`kSh(`(>CFy8)ApeVRt&Y`*_ef8(rSt
zPYbX4DmwUjIlx23-p5`O50gDTo9zzt(EBsPV0e-fx*{$9=}fAEpwn5_;spk{bmR0V
zZFX+pYrq6_(p14?aqqKm8WYSlvHue}#RL8VY)?MgsKUk2*ZEn_ED*%%9UIlm3m$LO
z9!Bw~0+TacL_;Pku-#M+G&ki3ilDdMWRp1fC&Luso5==Y07^i$zY&rS#})-ZSpEqO
za~%#!R>lK8Ub4gKx||GLr4SSla*p4Af&<U{*b+kz2c-8z?>nc7z+i6p5${+Wq(y#+
zd_l(rzg9NT+$T|Z5;52@7LJ4CO{aeO+Hr$>*6jxm#>Jp?fR<kB77i54L<B8sd0=CQ
zJ|vYw0*-FDS!W;g4|f|fBO~y^;F<Uj^8`tVUU!l0M>t@tH~6{I%nzH3Nz%+$q#*F@
zz{Z7590ayqACSK+2)%4SRGMp~fm`g(d8Q+(!1FuprGkPml==zE($mU9{*fZj=;x|%
z{PMAik$n-^ah{i6b&>-`-AvjDaXfVW=h~^UDheJGI*)F>kcS3?;CBz+;Nf)m&?d_t
zF`zp}y_m7C0Goef^7-5dz!d3~nZ7Cx(_zI!ld4LfyQRdntDpv1pBNu{>`1_Mp?7z_
zom7TA;t!d0R&|J1KWBN0N(#_-Py2BP6>u~vt%zgQ0BhEaj&}^wAfEK6+l&_n@1(D@
zxyfrnP_3l341)}u^6-vj@xp<rVa$GtvlhH&E9pqylY!(@P8sJP<3Kd$WC|fi8?pm!
zYeL6lL7uVM?p!_&yk*#Q7yljxKZ%eQ`Vu)fGAXvcdhqW*^&*BCkLiM>=GYli2YD#A
zdp=~Zg9EL{`E%I?da!z->v8aeJSdcSnykdCfJ=zouby>%$a<Ync-lw-;N+M1bbV!T
z3l`HS@B?sCI(;j+rU2iHjjd*%Dnip*vbAIhfLCiomU@H&#HglTJ>4h|6BGslLh=T%
z+F6=(!A1chOGFzLp2-4%7=5KG#Q?OQS`cAf9+tmn#~GcK29H`Ym&jiRaC4FSd4QKZ
zcu!e<VyBXXZ29oB%EE>~=o9U>EtdlgJHxO11!CZ&KQ;DH&k&mRyfPntmW6t^%BMC(
z!cZlx*Zthc5Ee%)g=s&^fDbv@<tU6F1U6^>(^fYGipt+SgfeNUo7tjxBh3xXPU6Y$
z*$hE$l2>ylR0`}mbCLx7*dbkr-c)zk09YP0#hU0HydzG1)!Kp?YFfr~bDtQ%!~DG`
zMeE}5hwX}w-4j}P?7`Z%W?=wVe6wlf%fz7i*6r#4-c!KP#`T)rbpWQJzG2?WqF}-E
zuGjp@KE}9f_D&%kAj%_|d%;Z@{4Vj{4N~32R%^3mQ*;0<)vrDNN-GFG0<qm0xK(V3
zIdZ+T5(Dj&`Q3~zJ}9Kmf9vS8jGcexMYFc351gS>C1)ymz>~60{CwmbR!-y)DUsKQ
zLQ##2<0LLf&FW}!*qg@OB!(NjJ@sJleSh_<6%OeC8{_XmJB3{sDWtV1(uHfM3tio<
z*g;${WM{(p7ZxL;vcI#S12;%p+%-L{@E_0Muy4aJ%$NRL_o{{te2c%Ck-mALvo*)x
z%Wh3!k5<#(2E`nPA&N%Z$7zf}^nKOpIz5AZ6($Bg9nc0`TmLnt2zvP5XxbrsZVr2<
z9cv$>qz%-)D%;9Mw9q?Ro9AY^i1{j|cXPyP0RhHMw%BRFGA-x0cIPrCNTZfWoYjQi
zApvntHB?}=Y1KrT`WKUYc6t1er6y<yt+|<{QbN)B376jRRqSqX@(0ao4G7*$wO)8e
z0S2Orxr;IDSX9&?dB3Cv44uVZ<xP>p^KnU;)6f24QH>|v+aIdKNp#~0hb=h_{_~a1
z9^JwsCRyGeVp50Et~`6)IWnjUSI-Gh+r<<=sTBv^R)Y%Jy%_%@GMIJ0{`AGOee9G}
zagI2(8aPKcUGYpH15><q?jAoGq@FBjCXXY)#>~nM<zzCrQ!x{NC4d~}J}U9?vl0N$
zk7n_;WN^J}y@fbV0bP0ptXI<U@b#m}D>y_B*1B=Q18!7M_aTCpTLBMz&Xb8@9^??N
za;oU_9yM^3t)CPose;JTo6HMy<nR_>cAxVNE%YRPyH#MX3K5+3O+ASepy+wavNet#
zdg$93`&Mxv!hLS>*Ktbt`i%0r_Dx0*-1OEPc!-0FrK|S5cq#~e`<-n!of#roU4BgK
z;Xv13p+uQL4GF>acRc)9VW^m{Ik!&*^r-lxv`*5%?J<XR(;_yAnRzGuMN0+TwZi@G
zJf?+)hh4*ETkJ5J^^l}eqzsH~%i_&s^q|98;#uy&2@;u;8a2|&uxSYiwf7jn!mF10
z(h?V>)V@=C@Jb0je;d9TZOjDuSmD+Ehdj{uI$lh|QV9&cc@=p{vB1wjdy~jBe1K<<
z+9TUmgaPKa<4b9*P!-*lGi@dSN5hth9B&n&M{oIVeH9zf4jm8Pa1sKJ#+2yWNs6#a
zl~8ecfgSV$6s=_Li-5`fw$Wc<iqM69zi?ci6W%qw4$#{Wg%dh88yvBUuwNjhP*ltX
z^%5+##oFS)<ZE~F)C)xr4GJ@TOyGgcH_^^H_aq=P{8GLD>OsALdYO5U7s{?>aoPTp
zgtwF>TmI*ifNMpKsyK@uMk-69iT=`HK3ei?a7zjNs<U`9A_d`nW7!<#whRmpXbfI!
zQU<TC^4`cOVJM{Bu4ca{2g1qJ47Tr7Ky5C0ivPGMoJpdcNRd;38+Q`#)m_8EkcU{5
z<z+EAq}*pF)uIT!C(3E<399hVs$XC8fjAg_OEfCBQ-&`TA;v<?cwl#5G7D{$fVt=I
zjg-EsK-l{WInNjf@Q-?2dv!+=`Xz*kiy1g*%MEC&Q&a<&wOZ=C8q!cm72}Ymr3#0K
zt_D$GQHMKAndQ3P2Rck<d|0|#70Uj|*3=AW0Nr)#%Kay@&|5J_`Gpk^>71=}1Sc(U
z$qVC|tC53LVprW?Jv^KY7$LN-X+!i-ke@wC9vHlH5}zLM(~}xfOG2&=SmZYO$`&ZV
zqmX8XEB{nMKfISa&PET!&gMj@o>v6^`mM79VXDAwBa`@dUmq?Fq$*V&%%S<(kB7Rg
zIH;xDe!5@*;Qc)N)$}nX*l1S)|3Ve08ggc$qc?yXzh_$RT~Y$Yt#{ltr<EW={=F}6
zg#kR)OHB7RQvzwZSt~vy4|@#N0pD~D!CLAHL&mHk&}F;&=}yT&A**xw<sw6{Ju7gp
z(o7M~9Ln;|{w)cWkDYDHRt>>7W%PX26$O~r&qzNqBL<&sd!#LdiO~9jp1;jq9`d^A
z_g9vMpy9vgdigR$sP-v3Q>q{bD8S=Ow<|B~_>!2TIf$TT_e;;}vkbI;$bH&x!~sr(
zvp3%SG6b{Cpe$xbX(&){5Lj_#0%PS{IS=y;L2#hy4b~$Gl$0@^UgxR6g(Ac;-_j7m
zPAHg^6D8n9wt3r+1AV)cd6Zpt(EtVyH3(V05rgs;@xNb||6p8KA8u~O7(kc7iOdBh
zQ6LSv5lza*u?rO^TU@ve;QcC5@RWxTgi5)6i8FYMZF>>qcJcw%bBr_=lKDY6uCRKo
z@*}C*ZCqyr4{(pK?<K<w4}`d{Gw-I4kk)N|Sy-Ymz}3rI2wda>^~&)U!kbCbcH)`}
zQ@%c2_@Zs{LVyFv!sOEvIA=(TKXv-}I`qJb=<={_mlbkE3e@iQ%#wURx*wri*M$Lb
zr4>(6X1IQHDr@EFZ&Ij18J~%)E=;7wI3zu#hb*rT!BH)<B#(W8(6zHVP<3dhL@kmA
zj92#_Cfu4K`4KPoP~{v3d0BOxo3AP1hhPWIDw-nsQcvrd|I&tAhB20ZG|3^#HE6&s
zcarpS*mLJLP8-aXo>u2m9ReS}zXO>^CrCH{zAp@l)PkUr4|U=yJDB&gkW;a_qa-vL
zY1aMqAU81#(tCgYhk1E?{lJ<&NGc^23m+$FLNL#YZ`jxxW*e~-_xMRaX)WmJvo|Rk
zAm)8a7;nFV;W>P##b0-mXfM6XZ2hMW;@)SBx#a#}YWF<n^=I2j$#??M?3_9zw4Ae^
zN?XKSXkMKRzuQ0>Hu#T^qx-<8I!8>q{N}Kh<TQdL|8vsFV}-C)12qUBm4ABkVFq*9
z8mr=HNyaX|rsr+1CcxsYv3Q}>Da=;8)+es^H8w_b)%t=e0Uq78Pv>Zx#JCOLXQ!|>
zVd~Ajt*>9=K}&Lgq+tCMQ%t&u$47p^;$ND6ysv@>l`Brw7ZfM3(46A|<Y&6E_b-2Q
z{H#<3*T`!DB39#=L&l!v&Rj2c)as<sJsnku$)E_CsTjj1f>WpB{JvtH_ntL}x8cCW
zr^!0Zatza7*$L%ZAH?`h5yR4LaqzG{oVq|{3=3AQ;c|=}!Su}UU(4-Ofjj=pQ(|Ic
zSa{E+lp?NijE0aS%e|@$mnJOmDOO`xPg-_D-o^wrUK5n=C$0?7hAF;Yem;ijJoq+u
zYH<=9$}j3nv{Qon90`sSa^sl2Au-Bye+rW+6c@8T@R8{^WSoON<Jj*@nZr!DSuDI<
zBjL$s1rTG^Y8ua*z|!g4$&+H|FmI+S6~{RhK%Q0PwA7QI*vYgLcuKlOtlpSb_LPe}
zsJE!;c-Bs0$)CcoJ(p$d_gYui^HMpG%8>9nL_UQbJMxTHZ{QDRC2yf9O)dvv&y*GW
z0;e(NZ`a8V`K(|^#7Ah}JIjLJm(^@Xo>|PbbK$3r{2FGCUE7MSlL1r8G1s)&-xyQR
zU{X5E26mS1BGFY?26WUu=qWAFWBtcXKc|atVnzJ--#OowhQ7}5ZYz}~Otwj=`?lvc
z)}0d15xph_zf`N~7y6g6>ENI%%+tGAFprMRf~OQzBys$HuKpL>`&q}YcH$6>)Vvw4
z8<&JO8v5nU+7(PRhX41gUNWe^dRmYFtR(Pf%-=cdv4+LR9?K@(pn$UcR2tJs3HX_J
zH>OR01CuQI=W)f73K)Jkjz02{0A=!@G`CGQvC9cR1q_eVfPq65zt6rnd~A8{7<_9R
z+qdjE$rVcnMz`%<Egy-)r+aoQOS`+6oncz0{u%>hT~&f14RKI1v7Ei=d<d%Z&d9|+
zWrqD>7@HUogL)UyPU|0JaLhtKFSU~u9&`TXJe?#4<e6d1T2T~m(vda&$|ZL2wIFVX
zTZn;&$2+lo8!EWysTn(~#tDpBmo7ANiUA{Tz2~bf4cy$CU~g35hBCvo(@Vca!IJ8%
zyLlWP_%MC89Jk?xMtaB3>R&{m^^5NfwRHyY-O5@rt~ki=xlpg(Aqvu!Zn)YUX3$g#
zH5xZL;Fd#H?Y!Sb5BB5(UZkBB*iGz4YneoWopW)okW36Lf-c{aJI4<HzNzLGJraZ9
z2p2Q=qhb(!BlpfxNls{_BlR&K=>6k{RO{?lVzBtjF<Fz98=B->QlGO*0aN47kK`lb
z(2~BIbyJoXs$UueojW80Q8nK^uQEu0o9U0d<G%dRyzR%l$0`R7vVVB4(MiHE$JuPX
zDM7F@A(a<m3cxTf_VKH!6bO@@XxzRl0-^eHHG#L4K<?A>w~PU4C~A|>*vE^3@vi@N
z-<S%-`3<L>uagC`Z`lKsRpKyde1{=WR26prT6`Yemj{oHHRw4e3AAsOqi<N?p?rtB
zo1#Jq0!PL#wyjISr0(g2rHcf(um1Yg&P5zh{EpbYTOtE_wTyckzG}epb}6)58xOlN
z-BzRSazJ6b5O)8VIy~M!?>%Xx2B>vo+>B2FhPhR5(5|Y(e<>y!Y5!?}ZDeXNzCjV5
zu{oPepU?pF4@sM!cC_Fx>-6}Rp)xRSP||xiX#ipulGJ{n18P}ECgRgoV8t!@q1CQB
z^c&Xais|aZ_pbD>NzOP(Tm3yFO;Cr*gvR(tAAt8GQ@YTMgQdB=d8I7^)IE0SqkU-r
z)@3P0(t9|#_Gp%?+u=Y@W7a=@`(y}w?T^WUMip#qe+I3e#)1D!wRqzeB0L`ehmSvS
zFx{cMvw<msbi*GP+ZZE=mJ^_<xq$;!&D*%#02vVW*cSOmYYgo={{NZxs(@%b`EJkw
z4@!KzeZTCuF{r)h5b`^z3@;kS&b=!Y0CxOhn7fNH7+YRxrAbhP{G4K;(mr<hqFIrZ
zrDY5OLKg0|x8;G@V=_f(rUIQro9jnsjG#sO)wr~iEHK;L?l7KS!bXG6FxdqgfndmD
zNFt{+oPC`(-&r(7x`-lUQkIBNx0oAW-6jFX9T!=&<~K>H(yY4ejzpk|_-LvdE(UTz
zj9sHAD3Rii;xs~oAqaN_zHm+uhVKHe9+ghhA;A!fHg6F_sFxx8O>M~!nYI*)Q~#Jy
z=7O)X{{goQIg)s89^;0qHg+6i=UGvZB)ie@B0&3s$6^0uc9>8lb9sH74P9ukwjrDa
zXjGoMUv0n)N&A=6L<iYW-G1}_@mCmdHvBNWy+Q-gv~nNq1=tab+1fW$sSiOf6;HlD
z;DNxTWbFt!cBIwzv5VNE2mkE`<TJ5tVIrG1y_dMy(O9ZK>`dr_ZGBEmcil3kD|8I9
z7uisO+G@ggW?h(%NGjVo@H_3&T#KxCY$#2dVYcCj4)E@VdXegjG5(*OD~XA0sC}B+
z;bGiixEsb8wUY9cbS*tkjpsZYTJgCY=y{O454n<8L<~)nUW(|t8=0`7l5w1|qoOv1
zUCPbfb^b$Y(e-#Urp1Pe2))5&@mjEj!!ZUD*GYl>W~^^@+0a5b!+g)OCS)qd%XHLi
zkpl3P;S;uOC_!$g%*;g-7`&3dj(^%C$xe7x3`DV^&$`1-bv+v3uJ@Dl+?)*E`FdEh
ztep+X45yln9@7BY!MG2~Y!pc9P<GW}Np^Is>M391=Yu<=Hog=|qD1B$?KgNHv!jNx
z^&92(>R>VI9~ym{8adscvT2j%Krgy)rxB;rAep&yD)tWzdU0$ZspcaGIvi8`%kG96
zY#kGha)_iuAukGs9TPcGz(uZG3_NOZrd8S6f}H_bR?@k1dvT$*mH)UN)Di$Us&U!0
zh!L$F70f*C!j1N16_?fA2=GxTi?ZL08D+QLp~~~&K|@gmjYgaVs2-xG5Zq=#|FP(N
zJo$td^(<faQ~HR9xTF&oc1Kvzo&!zT<TxK<_#&(Cors5)zCT`(ooq;1%*MaSSOAsZ
zz0H(%aK}mKHp<_%u%p&|!+#U4f+%O=R;7a?9=_4h)~R=KpyJz+mAU7HQN$)4&YvC+
zU3ZkW;U_1G*(;(PWD-T}#OHZv<skRG51?UV;6@GHNe_<v6GaWg<wosURRB80kOCtf
z6#cWliep&}O_Nb1%+IO9M*iv3ACh>HrbX|%->NuTJEPvWzoQCnRQTQ9B|cQ-6jZ86
zDT(e*o!2cB!UMHxK~>N>0Yu&Z#Xd_&3N`zaa~!e4gCz^kD*22cDpvdGbx&U!y-IVq
z!IOdq8oPFb?FeCH>eTgE!d(VApV8O8`Wp|9;YycNIYp5ehXSD~UKU~OjMpF95g<OO
zJNw77D0<CUQB3|)4$&7A7}LHHpp17dF}ha_UGJ3+%ziJAru>7-tgfiRX^PI-zB+N_
z9rt9~zfS=@aDH)DOH3UKG-=p#^CeKBBh9_24n;H`{3y<9MjfWUE?m+{ltghcSL=nI
zDxuH}`nknc4TzcZ^bHD-LP071Z#e9f(U;7vy`maTxKS|eS7;-RguOZ&DSs%V*UFpT
zitn@_@VkLfrHl+p%vt>XNlpc&<XK6G_iDr9yP;E(^D-#Hqd1jAM+Mz6$aGLzISigM
zhQ*c{vgp|4rsF4C74+$<kkc}+E}Z)9)OUj*hccx(4lgGvBRTx_TPpf`AozXvr9`P5
zqEa<2Sm;zjwO4bCm`>@#mCLNR<f-J*AI0i*`9?)luhHb>dI^KDB8E^gEqV0&72O@e
zRRwg^hoSyp-JpulFcd|UM{{V(@5QVf3Mpdpcg+R3pfphbQ%WAGBm~IqD9fU+?RmHh
z`v83OHf&s@a_FkXK<o=EX_Qs)=0v=i0W_}reNyq0Lt(qe)E_xYqEF{9n%s;ufb?`b
zmG~dBh;1+^cHK!FWf#c&?0;$ij0-sek0fQ0K|qLlh^r_{&zPW@ImpZAA>%fcRx*g6
z)7^CFuOQ-LYVGfMVF0M|2m6$(H0r3Cxa#i2hXf-<C?y{nzyjFxq@R^SB4LFL_vyIN
zZq(L^JzoQ0o3-k4wU$J-Rz6)f8931RRSvEUT?6o!eB52AErI?A009603|D77)eRK3
z_q_JrdtKMH$30eLH$+kzW{RRg5xtQTl_CixWQ0^gB>$6!9g2pGvZBn4r11Lse0t6~
zzw?avU>Wlae?APMJKp2G29OXu6_O+^kDXSV_6V48VYlDZ8MkVHRP$^1E1Bf*U9d(0
z<1RL|JxMKi5(Mz$lw!=`uQGUjpt<#*3Nr>|Dsi}q02oWZ_F`(5!qm?_%&KV&=%~7O
zX8$=FRAgzFwlzuM+~3+_msC2e|JGN#rP~5>D=rHujfkN%Lw&b`<{F`4up{fdf&~=Z
zE{d~}7R8b7vt6%*{t+<~=4{1b=74Wb*Lp?@<MG?1%|{zoh%0f<7HbV=@cM9qL-CRz
zisrDMP*YkVR)RIVBZbT$&O=JA?uGz9F}GID7Fr=%qEC&rA2fx<$39t+J4smhr@12b
zzZK%fZibx5mnM*$x0lDof*)`4rmGZt{v{Z;o_^3HV*=&INpJ0K_^{<LgB;z3e?)n+
z$W`fBW6(5lj0@@J!P;p05^u&e;^24h-l!2H=!n#O6tSBdy9ziTJK{R=c3Jr;r?U~<
zWJxV*lI6m3&#Qj}zR)38zQ{y>jUlMoH^4y&PCPr!l6hs89^JU!CDUsd0z<z8%Si_g
z<PuiZe<;O>Kgf$L=W-0dZ)S#Hql6u=-cakW+Q)>-RA$9caRX>SzMp&1gdGJPAHQ&}
zW5%1ea(cRN>O(TEQs%$kY^Y=$oz<YlioPe_C%uu-2RYBU!*2%I@Wu%-$=ND4R9o&2
z+?7X#y`k=n3^QyP{Uu33eJ2P0@N{y1s6&Oxs%)+%Wp<?BaU@Msm<v5vgBQn958j@-
z^kg}X9S?5mu;!ZO#ssS@0bLJ0kU7ZpsfmpP)7%yl)Fyb*JdHK+`7a81h_Ns}f5d?v
z*Ny-1Gw|bQ)`PFxuT#M3>)F-97*4FJeQWexj)Y3-DVAj>6fls<E-DP;!UFNZtQ2<v
z{M+%;tn#}q)HacqWG`{!J>BhFGj9uGORY(^OQtStzREFG+suQnHWiRk*MyK!b1VCT
zyDoI?nRh4^;X|Vf`&HOZieM~bx(-!T7otAwZ@n<Uhf2q8`X6T(L)`*>!zV*z@a#2D
z6RhRO6F=PJ&8x*xC#TMVQbmTR-yX-&mynRQTZ}X9tRyCIXenQ~P6odq`9Y4y0{Eu%
zi)=`cG(NB)$CsTZLyW%Y$Yh5gmNIwgmmA9Bmsm@S+E6k$$u0zXF$?1fj}s}xW;ygq
znQi!fgbd?Wa$>VvMeu#F|F*n?@~9tqIWHxa40c}m(~32sIPMb@UzVYOmuHTpQFF)u
zpI9Rdjl^-!5y#30J&G9Tb-*LIiwrE!?k0<LN+3)-ntYU0#&&vY@wkvKNXL~KIK@h#
z>l!xQIHZE-ipv8Ihw4I#*g|EGoebV*3Mf7GLKTl-*Nd7#T@bHZWjTLM7G=^ornp4Z
z(csjh;}L-rs0fe=c%CSS<}VVlIzR*W&K;Ij;M9ZTHryZj6Xo%KPvh#NQcb*edNadd
zlO7cB6jv_3s(`naHr-k2*TVVgL*`p^si5-xpZlf^MSL1Eb@AXYZLB4X?u4c5!&K^-
zT?TiR@cKIrkC8zg<T;dg+O5z4wqN?^;Fhn97Ht;yx}C|G?J~Ubt-}x;HHH=%vsJJ+
z-$nIMG8qq+?Y8XUHim1@C>&N7RPpVU(8Ei`WE|Q!#Zhk)_}f9XTi&gPVvN1M53|Ym
zg{3SgrP35~R-b*H7F9<|d)<RD{|&sWOQ(+C92UGjA2q2^$1X?hf<<~Vn(^E22@13T
zH$i^BZ7Ld=-o2QR_*ENcj&VId_>cy@J#1bfM>Oz5v*oyAfENB>7?(0X0-(4@q5or|
z2EO1OeIJ#hftz3PKb-yzaAP?d&5vo|OG=*4&WsISzYcDT54Hqh)v)gG8XCxU*x0OQ
zp9<FV+*y@uvINtST?So`)iKtkecOFbCG5H(d481B3fAd4LvlFP@#RjlO;g44sGuMm
zXl!5wdjc<CK4YSW4jpR>X)dzJdRy*Anw=HYIENm8XQPUL0|u+|1tc*^viZgdODm|Z
zWqv(QRzdyqU?lcV1piVqyQGz^Ks5II>NRF%6qWKjS~n?xHNOL&yDwY92;cO-#%4t{
z`*JRO=m;Nbu3VT^cxDMI0vsVOaSAxH`X(D&IPkK1RzdnvODI3%DSXmY9{X5qOJCn$
zMsCN3iZp3U2)fWQJh32)6YPb2Vl;X@5F;vI^9tZ}f}9{%unevl9PGGx=r7@!A^i{h
z0W8ZrCkhy(u&OG-fvsneI4F2ufP)!8c_*7G^TyvUwWddnUY;Y=^#zj^Y-w=xolyRC
zk|@4WlksaEoFvLaZhNf8Sir*bPxF-t!kE)p6E>GMPVD7<^3$`<97sNA3;l})QF?^w
z;4I4+p&6Glc=WFsyx`#UT>3>q4qwOVBOgYHihuj9<t)r#p0#+_315Ef_|PtE*tUV!
zZw_CGGljrF(ckeayyzA?_a^DlC^0VKk_Me7Q2*UkeRl*mj&s{;s(5}UXw$?6imVBU
z9`HZwO5?=yzdl)4WlRu!-&Br$Ic5x8Ki8a}II?5KD7PVaOcH$310E)Cjo`-R2KCeo
zRy;DW>UtnzhG@RYr(msV1mXL)(>^G&pun(|rTy_aVxC*Ob@;L&)Uhok`A#sQBWF{f
zlG{ANy4~js>yiQFIM%q^4>O{#WlyfL{UTBIAo$y@eFkua+o+b{VZ^AX3^VV%eiMR0
zTR0QD^r7lEL#}fm11j^YHFux?LyXp6Fnn#R4-1>sXJ1Xyqa=>~ifsE!3~LnJr`1#8
zh^W`3YX&`9$Bhs&T5CjDSkTp36DrUZd6gXtrbiKaMWtkSIvh8)_I>|M5ANir>x=B8
z$D~p5eNFlFSm^Q6eH`>a$b$Z3WCT6_lWjXmW?{s8j04rw77B#S%<nXNNRR1c@d&0U
zCZr2cKL65#0*Rgmj$W(`=;eD&qLqyWU&r2KE11xQSgtHWHJSm#TS^0+%2{#u?78fP
z7+v_N=Fzl`pAq~1oLWu_W5=xRJmnqYy1?Y7`{K(>MqKie*wf<9iS^&Z`}Wq7;ll9#
z6jB-!zPO*Q8sW{2gNm)Y`u324Yn(KGGoBguHZo3|CGw)DkV)2mY-D(}LosC64Hm4k
zHS{?-$A`J&oqKFTb>R4@(Z?%IthlwAMbS>5go4jLF;G8iL(DvP$s;LtOnEi><IXh!
zT*~~?TJ5S0@e^IiXVN)vbZuu^4yO>>fB3OJ@LmgoyVjr18FJwZ()+l>xx(ledz<H{
zzZUQ)|1`It=RtP<nrP*nqF7kS+P#BA3#c{~mm3#(k>yh6+fTaUSaI*=e*=Uj6u-#n
z=H%kXnp0SPNLvy!v6bh-MNK%<O2-|v!EgSP%}A1)G%6{Fye|pT1fCO3N47)=V0^r{
z%S$I&j6U{;VRgSIyi>o#E%-qY<8=bF`QkTnrA!hzB|;PSDVJXS;VO(v&hw@EUGm6N
zcJa?>nI`zBnU{`@iQw>WMXh?WBIYapw{Mt53l`)ZMZaW<VbaK^>#4a)`0BuE`p*ek
z(Ea>JxJ9T0hQx>d>QPj|2(I6W;riM@W_aVowoeNG%6)6N^F$S6OEk|F3hKc2rfP?T
zBQm(MZA9R+vpTZHy5T0F4WFIgyi4@0EE)&2ORxOUz+CCQqeAs$2s^cfyK+_z!}qpR
zKgMYx<<H|R!315XE^!Q1kygN!tq;$iAn9PJeeMz^Y$Lbiapl!+Q^fw<V^^YW$fz$-
zq*WKI2SZ}R{C&wvSkdUi|9Ogx7hg%ZuvJijwXJP0OOrAd&=m4i&*<X%R&tRdn*j{Z
zf7)98PX&$2rmojc>0+(xtox~GLm0c#YIH(L4Y?)%I8{<9xKB99`wWjU_<w%*c-BN6
zeFoI4a~&yo<2%!zQ%_7_r{78jMPCC~yrmi?H7Q6PYf_K%Hv``WrNqCSns`@W<Wf?X
zE+&U^H5Q3kKv7}iMRK(!9^y{DIc%(pds0SvgI~}<A9Q36=xAZ1&y#TShCjZ38k=HW
z1Q6X_cYa@p76xtBit4S@#*s`x$pvpq==2iMBSN+C)7{-V{WML~lWXD}-SCU^s=19;
zx>{JiI2qO%qlQ`1lgIa-v;w^w9&xG_nz&s{=DNZaWn?{-o@?7<1&t?*TeX%oaQFR=
z3&Ix_P<KVt!;0S;j9wT0+0U$jEtpd1eL)s;Wh+VD8rCpmHZ0ciO$}H6Ca=$JmO$?(
z_H2SG*6`Soy}dI{6@Lv`Znqv4!e@S#AH7(tL17(vpQ@{%W`@X-qIEtTol4{FXtx4(
ziQe!3ij|Q3d0HuQ2Rr`Wx5w_+Su4m_J@BqeQW2L~9V-?F>9M&b9nDm%Ai2pVuHuqB
z?z34-QPuxVaBvEGcD=9!?FX8K)S4`=T;fb>8k``;fOX2r-4ZOyw)PVX(&+MPc7~DZ
zJz><WV^ux^pj67cOM+7pi=OI6r;66lf=jlTdWHd%IH$bguoJ^8J*gRX;-6{v_p2BR
z&;e-oYiV&m5XSCj>-<!cVcOYvs*bxf4Tc})n&w*zV&`}TolNd`+V6*jJ66F0#QkdZ
zZ?lt7u}wrIk@ADqEb>UfILI8_^lR+))A3=9@7v_(PCscw@pUW(>1Hr3=bahu!i6vQ
zY<W0r^OMG(**=ocW(s*84v&=ouwls}ldJjuA2hO-$%#=`Qy@q6?LGaE8R>Qp#LW(l
z)9ebZg>P>*fdlNLyQte3k))*7qcuH7v-48=7@1-W4cR~WlYi4;g?(bm>537WM=9$d
zb<hZ689o-RyjdmE)i{G#U504Gd+JCD6eG}{yyo05w?g=QeZBC$c#u|{FZ4(C(nfF6
zPEu)^Um{HI{?5DmxR+LL#*p=4+yI`OY3(%8T_E;F|Is9M^w5Nji<!1K8bC~Grm=0u
z9N`mvd!>uFi+1E@Rm+~o`q2NcQu|243~?HbWcIH$(Y{M=;cb)Bhy5P1_dGZzi4dml
z&M6zDwSGP$e=wN}iWJIsLE#DFf^@~~?8kE28;6cn9(pPa`~LBg%N!$O!$h35PnywM
z3e6v;M(BZ7ASv_ur4i!fD{1fM@iKyJ8{772o&tLWTDbVW3=#iy*3<-dKPRS&Vuqh>
z=!u?da`KZi--xKa-VKpiuZePpa$dPbU8t)zkfuNUl~}Zr>k8i1MwDOcx;Ax67sivA
zh0mA{5)Z@;73spd2vS>fJR6fPxG`Q2?GP9se0Q8U@S(h$&|?<Q@VZKd`_+wuA|Cz3
zmX_O_EG9n^ZpEe}?J{J@JZVxF@wboQ;$u8~ocx8L$PS&$^wj~jd;#n4%YB4XRFD5e
z`~Yz|ximESiZ*DGN3)nV_Y<Z=yNo3NekH<fqdS~X3-a>f#8<}p3E7&p2U)L&h{V|Q
z0@X{J5NB^QwzFe^cs{6B8CN($m`b1TE1_rt<!X`)1Kn4G?~CFo-hwfL^UNp@_c0CV
z(}}vxR`-=SDCtjr_-35Aw0Cx)zE&L?M1>LtGrtioTt{7Gcz+W9JUvH>Sk$3Fd~P!(
zXNWj|sXa6(eu|KTL0W}}8l0Z`CPQr*CYX$#_pOV}5>th$TiVK0fln~}Vz$I65gWqL
zJCZm@?3n7NjIgP~(k_F}k{e^haZz6<Ntt<~Y<W0iCQt?9f?}fNEyfA;;R((MpB4xs
zpL+K3c4gRGW%k5H=m$|bY~c3q*%A?${rzs6p)yQLRzz~iP7>`u{W3e+mx+{Luf*~S
zl)%>ec0>FAY2rWiuOSBn{t`D=^%f$;l_16W#=|W~XNkhBZ%yIXR*4a=t|i~=im-NU
z`AgorIpRyzt%vti=`cWV*Zc*3MaX08NKf;eCy3w}yPy(!jPNR35J*!1mv9yG3zkJ<
z+``?%)twR75APhYkye0)+joDee_J9_4fTg&)tPa{U8&)4nLJz(nl0WuxlC9KO8iOE
zVMS`=xl6yT<l&)Fvn-$1Um`WpjdUc49gDRJmi!0hK+3Kraj9sPAbRpH-s<N>9`&#4
z`_IXNcznGTgB~6JcZa@sF@*=;58f=O){z5+?rfjKmGsC@%xZ+c;lsgeDHr`mWkKe&
z=E80tMr3?qD^+liguT_8u|@Y}VW>P+poPketvfo}%#8(6a^U#Y)uXcD9(rYc&6pJn
z$W=c@3^w%dwFrlalPuJcwq@N7XU811>F36NqUfNwwflyFEC}(}Oq7gqVr%=+<+>Je
z<fvz|d8H={vE8?H{crN%!hrwW<AYKdJXCykeUmKk9~cnPYUINmb`8g)6=iY%xAP9_
z$7DfwocE7(00|R@kJX=hB8R^6UyqFtvhYcaxoJXM5V=gZOE>x}U~(rNQ^Cf(<|3s$
zyXAz@CD($N$4m*Uc4j^L*enOe?$LEZmZF%!@KMi(s)FXuHRs3D<iUl;G3j<y93SwP
zsmQvhp-swyhjW&~#-6n+%K4-)s_mP1#rX|CFV8AY8dHSj!taU`4Kld7A})ORlNQE0
zc0Xo`QHF?&{k+s|awz4uJQyHN#yr{EYLAboLKzFKFQ`u*nfiya(zfYhgNsYs^*8FU
ztDvL(#VJMPlIncq97n;Udqek4C2E1@okJaA>dLs?(wQTxKo9i|s?M+<AVbj$E3Vm5
z6*NosXjgwgMTzLi`=J&T_?XjbmU~YP`w#z{2uRXL`?lfjfgV)o3p7cq_R+vkliSH0
zx(3*A@yz2t#Rd?Ox=l}tO$%8c?f=Dp$p9nnD;0%l8AH)laa#3NZS;#sPu!YlfS*Oa
z7CwG&3Z?(p`+rR6VB?}f{V_QMJYAwcLwC^vPH3}AHJl}5$o%#LhW7e6-G4cG_bq@4
z=EE9)#>n_CM0GuWRS!c0La(0dw*;3<sa^e2y4do#cxAwzf-XHO&d=AaV8X|t^R%2U
zcByx7Ni-oNcf~dq?FDOyZTOaLJ442*%+FI#x;4<5!@YC*p$)u&k*e?nGHxn(^Hkx7
zGLGa6y>TGh!t-4XB$-|v%%^XP>zk9q?NY72E=O%aQc|eS$x$13_Qc-`wHL?B<3Z&~
zCvAbhV0(YSQBAyA(em5IhaX31<aMfpEyUQ8f4<tSjyy$~Vz;^(aGU<u1mc$sY$Chn
z#>=Z>K96O<o`?}5l<QSQ{AnB5ZDyCQ-=&1=rYX9zMiaCXb356SrmbP7HIS_~QUU2%
zCJxmyt<zpv1|KNdZVjGG2cG1q$>F9*!|5XrSm3{j<A&muR*=p4bfWg76!Lk?sFabo
z;G$3VVOJq5D8CWK=#(OcwXNTXLrc7H?#niN*+@&^_cj%cz9fYDV|5>W-1x!u#6%F?
zFu-ur%EhDY{CJS6RywRk0=qCqaM=#<n||$>V<i{5mF?Llc8>)0JAQYWWYXZsxG>}P
z02Xw6$#PoZ3khzeckY<Zwt%*mEj4$`=<s#S+P=lFByewE9+P-z4s1i@VHw8XguheB
z)BHvfjOsX5G<KSSBI_N6#=xIMtk$5<U=|4yJVx)du9<>zewLS5P!AzDS^4i!FbO*Q
z)OY_iGKE|G*6FI;FKF=rVmxK0B;Z!|d}?yW1pKo%Y5pkvM*F;!-pMXVf?=z5-o$oe
zD0xYD*}H0r_A5xQ%=-^NFl*6?a48$ZKrcDgeA5C=i*h*EdWIi<tva}{CK!Qh->yhW
ztv@uTtwynd%ly#X>aj2~V+gX_xl2XzS80l&mf_EYNg&nLl%u`Z5IS7PCWQy-Ab`8{
zQm!Kj+;$XuUHWJMT-s(w&%R-RteRc@GB-((9rm`Q&fNg6Wqk8Ja+L{q+&`Ai{3Aj4
z&ZxD_UVTv1b@$t6!vbv+#$$I*34oRoEkx8`A1Gj#rZ>R~q0TEKclib35n4*=FH<39
zD|;#>o*l9mzWI1G2*S3uEIzgrDs&Ch9+Q{mgm$-=QWD8RaHm`^xrR)I$uBcs9Ba7X
zs!s5fZJ02ea=bio?xP;09_qZ7u!{%cdJpK6!$d$Jl;=%FydIR^lRJ~o#0MfWJ<jB0
zQLq|(c&o@%4{YY|oY*$Z2e0ias?%PI!L<qJgq}YX_{pqe`lyv3+}xv8?+Qu4Y>$&$
z15)7O*5?_=2@-r-4&NMkP7=O^??23yLV+AxF>f*oz(teGixS+@FuFvr2L@9>f_;;R
zeTN`$obr3(_*e$!`tsUx+$g|0EtkDKB?JlQ{cf1m$ij_LGlN@}6p%5we$!D(1Q_h6
z)V3GM0c(n+t1FEHsUExf1@?%7UxR0M(H(h6j5YS`a-e|OQe5QFLot}&W#u59uK*rT
zJVb2$DBvZMe|KercZ+s7Rr|3bOdXoAAGksRPR5`2tdb?6@bt&U&PFAWPl_u4)JlQ5
zS0tbaOT&mxrEt)YGAxnYv_i!7K*!f8y1rZno<De}_+U*1a(@_aZ;sM~x+7uV<w|AY
zFN5*XTcT>9V@3C4eqIj(hosZ1&&$EJMk>o54Rx@o{=)SlmI_rS;=Ka?@<92mFYKkO
z0scGqem_>whxYF+4(9d>u<KF%GgZZn99DOJsIN~S7+QuI->54>bK!Zz%72>R7eHs-
zP+|a=B7gEWaVUYSCPzhJg%${|N`~uSF@)_7lGnbEC_&WZ;o=a`24Ve=^G5MTu>HXB
zQSVA+=zlkELdw#H2|I4D?}^6HQ759n9H9dK%onODgf<A$A_@O26Y%4ZymwAj6=KUH
zDx34PA;<sy)5#~MP$)}X@@-Is2$jsp2wQDnHNB(o@vRwzxVkcIwN!&%xmHD<TrJo=
zv*y(|Yz`_jr8#zY)xh-EUGc>lO(^nazp!=60=6bzuI?I8ga5A7-#va+1LBM&B@#zy
z;1js>fX#0;*j$-aUB9un%Kq-2jC}x?gZ(|H#?>HVwWP2#RTb>FOi_kk05}-Uj2c#`
zK~>ZrH<u5}FiJk)J;i4U$L3>Xh#hJmVf}LlbyX35boqWWaJGcR9WD8eJ*rTuD|6ts
zumTYOC0%4VVF^8V+2`wYRpC|3otZlux#8_j_f(HdmhjuzxcF<R3eZo-F_slcL)=d`
z>$zl05Scq*XqKuB^Xmik$<h*#2&-$dF_u7O;H!L_rvwosmf`*`5xASUm#%29C3LM@
z{p`$BggR-yJ8~O;pftJMn@qI??`x4<kr@hbGyd?3pEL=!wU~Zb{s*wbQ*HN~i}DcD
zle(mxzza?+Cy=uaU}q(BoJXV_+)9e>Q9Z*6if14Dw}t~mNsHfiIwT8o@1_RoCE1`?
z#Be{CGQfOCR>Z+JX{ghYcB<UT3~}_V|8*77;Aqx>9bdO3l$Q)rf2lG;)fc8)5p*;-
zHul$V^MW|I&TOi$jG~8S`?V@ZcMCY$`ue{oWHCsW%ZSh1L<fN{d$~o6&B2gZSQ)=0
z0!%IY?!TH{quEiq8|_xjpi1AuF^yFi6jyTJuCT4qj9R0`=C+zajBAu<PQD=U9(=1i
zS+`1)8msjgy>AMi1Eq`{4+y}Ys_*p9ORKaGEceL-vnkk}nt#2;ngo`#e!h~sYc#i@
zM@`cQOn`CQ?;$oDeh8_b?2LG@PCI7Eoc`*yG1Qj7EsON!gGsTyZczzzFmOWZXQYNP
z=;STG__c`_#&4c_!0t^Crsmgv7^WEk4!U1Dz0M8AOYOT-+!%mxy2>HNXauA2oR9iu
zxZv!oAKktC7{N|d(ADy|AuPJlJ@pmhg5>90UKA%Y!Owd$S8IM6z#L6sbHrgz*j%^G
zE$1CGe4c&Je9PYeO05;f@)kKDuzGf{0+|(j_vV`~kLttKt|;H)k`3JH?q4Wi1MQe$
zVlqe{*dGUUT}<YH*mbq78TuUXet_{%>Mts=Yh2lul)(W>X=-K;gPd?BbH`Ku4Lv#Z
zOy;uHTMl4874oMqpBq#@`-~=&s4y*Ww3w*Q35i#3e$~Ig3lU>y4NUIq!4?b4(3CPx
zsA?!_Xn4&Bx9@Y9Z?V&Z?7rt0-|paoERHRH*`N5~xWhS`=no3y?Ue{;R^|q>IbY7o
zDhZy11;6@wjRO5Q89#so5BLuGCz=`x!j+bPHXK$I;PJbj{nmgNd_VC`w8RTRyl6i=
z)3PowYnnS`oAH5>JY%%rPhnuD29sSYH~R9Y8~u56e86&D<mIVAQ3zJldLO&dqazy+
zaxc{KLn&8Js>8Y%aHaV;*x2iW)Wm~*Vi_cm4S2v=`cMKkT{a2ZEu#yY+wxzRBnd#s
z`$H>NqNU(1-Ob+nbh_}^g^$ht#)iKNEN#m0-_Y-#f-03MGE`jqTz<Yv2s9Has_3d@
z!Ph=}>(nS2lsCn7%uWe|Tj$mn&)&$vQ}Zy?n<PW8rvK?*W}<MJ)$ZoM5qaoM+p%p6
zy)IPC-;Qs|69XCJ#maZQitr(Sr|(l`U2ro0q<&If0>qk)lV8~?!T$gN0RR6Kmv=PR
z-yg^AO*Yx%<70h3eC+N0G9#H;Au=i<iIQYQ6iQKqigrmxGRmm;m4?k%NcJdE_RQ?(
z_wPODo^xOK-1~SupUc0is}~Qe!09djko#{%prfU7e^~+%=!E+^bMjT-{oJs~`J-Y$
zU3P4zwow)ga$Xaxm{ei!b;Fu&9tp_1lh`N5B@b8BZp388s6yWGTtU{31RSv#+biU(
z07AKInbT})aE{%(^Y(%yM9lnE9=@pv_G{*{5#?&|^Fjsl+;1s(<e|-)fJl(}i7%Kg
zTpf}b=^fQ4rQyTV2_x2TWKh9g#kSdNzz3QqgU2QakhV%+5#Oo=G~o&IuKP6MV`|^2
z=}{R-TZtjU9cB1>q3Ni$lNPW91}&xc5MhCGE9${s3h>6*$;?G)gW`@^brvoQ9*^#q
zxa^|<_uOF5hhiPTbCl_uv*aM*16k>lJq7N2syUP_=t83A$5X|J<iVYPs8CIV0+g6q
zo?tzF@V_aPSo%*MCO@SF>JKSH7?oXkUV;J4YO2(qO;CVW`d93Qx0S&1l}IqxCqr-|
zk=8`U6=2}K_*c|G28}3XJ*{O7a*WI`-w{xR6`uCE0do>8ELlJNngEcbY8&!TOcAv1
zU%s<>Q2~zocF^_h0Az^9li#i>fMMR)6^;Zs@VDs++43_2<|fkN@`nm={RPrb_aZ`A
zXYcStxe-`KR@?~{Q-GvdL+?`r0^Ix&>Sr-y1db~<Ub7+ca5?8qN#nRAFui-eJjiYg
z0=L=5Pv^?PxAKC2*WATHyEL`eN5B{=>rULWe<2IyKg+KXC51tk<w#Wkt1;N-38m!R
zAp+AkiDDmR0VpzCk0(tV!END*u!?gs(5-rjMKy~D^k2`FnAaM?V9%)!BKrt%9v}YZ
z>B|Y9k99~T#u!1U)OZWi9%*pnsjB&>!U`E44V}drMvxtWbL)0XLR>EYdU^;06ihZV
zdi?;fiN5aAmL~x(FDTXtU7&%!p|!(*t^w#BHR!h)5d-CmlYQ#RJJ_{LrC*#>00u<7
zyX$g9pt@JBuQ6gBYxX=toBj-gkJtx=C#QsfOHkdf@cs%$k`2IBCk-L{$5R^BV}el5
zC~M>MZ4rwq3oLsqZwN2d2b*0k@<X*@c(TpLJjQRvY#0_~07d3;N&`4A+<o5L3{7)b
zge%)jeW^aYf2PfrD#HU2!*Z(U=4P>5EWuIU8+x!a^3Nxzlnc;y*1`$JIcz-o)3Yvf
zJy^r+2KszBA-t~RYYcH7`+GQm|4f!Hd@4#Zi$2W(!}^&~9()TJN4keq=(G+92eU_7
z`LY4ihkj>@{UX-l9GW+2rUR2+Z8l%BSm2<QLV#M!5@uM|^LF^LHaxreFx-)q8UB2x
z<UYKxf|=8L{&r%}hH9IB7yW8Ra5Aw>@Nrqg==yn^O-^b-qxvtZ_6H20U&tq3erO#t
z*kZVLzgH9Jw&$6nYv{p&Cw#6iW)mCx-D&M*p$X5tb3Oks&;#Zlef0asZH#CC%a4(@
z8jyJ0_XqVwIylNY+?2&f1=c<^zSHU&P{G_Xx*|;nasS!X+8?3@c`0A5*QM&<**dpu
zH%|*~r-rMOifN$A)c1aysyZ0`8M9d#qXiEiC+A1}bTFx_I%V-z4et3K>=56eh1>t^
zMFMZpL%isZRkE=fTv>aN;;&8zYSmL_%(9H|CS`6RtwR-xHitMrq|w369`==muS`H$
z5D>cNs|q0vO*7{>=%H@MGiKx-3mkje|JG<z1@f1^#gK~VAw(chqdkEQoPlICn56>i
z8GT23f*3$@HbH*jItLsZKl3O<M+I_p4U^tkGlJ($A7N)NPLQmK>3%UnfoZK0wg@{W
zD79VkYP`w?1&4iK1f@~{(Tn9xoMnb6fyZ*iZQQVSOu0uNC@^3Ud6|N<fZztV{H#1L
z#JfK!6I@b;qfZ(baWWf}?b9BQyw3+8`m9VphAD$h(~}OZdUlXCSiWGUA^-=R(;2I2
zm7zwCA|D>N2O@q<cd3mE!Wc4KIQc{g+VhK)jVd_7YwC<Rcc~B*yj@gHcToZYIsT*x
z;)1p<s;$^ZB7oIyhVK<ug3^-?oTFphkYr=Kx3^LZ4#!>Lv)CpBe`<KBt{5*Qf6~cJ
zIwt{4jh!v8mdRj!Q#0#m7$0<5Iz=}>m4xWP`U4n~66`l@EAblV2WdA6P4)>XpnmF?
ztE;C3aaEqn8^MBbJ|(&Mr4|8RXvDIar7J-oicoCe7lOZ$jlYlQ$iRqW(5N$qGHfzj
zGu`YHhRW{)PKL~~aGEafZfT`5yqA5GvcE<Y+Lmv`>+W*Wi8VUTZ<qJC{+8%8REk4_
z9xt5*g92c6W1%-%DbS?ZeyIPa1k5|wxY4F4!pOUDUd9j=sK4JSQ@AM!uQ$IG++ZTZ
z!wns(I*KZ^;fmHnLekKEM3z6|yb|0vwHRl`r3MWG*$!WT00pPcynWiK3@^o2zun|k
zhi7k&c`cuifp0x{iEaV~0<{{F?(M$+VP+{mp_@d=cc4$+Vo-tRh1^*Ea81Yy%fHT9
zE(>qE-nqREPywR{=uuOb7Sz8Rtoz<52Y<N|%P#JEnzQWj?3k4fxM*z`*0sn3)%ZqJ
zca;i=h71cEbn8OUJ}QOu3I*_&P*l;)Q2|%-uy=vKK2#190{WvAp`)Terps6bI{nvc
z%(o0+=!~PJk1z>rm&9!tD=5GbST8z}fWdHs<l~eS5;#WMmGq4&gQ!Ptq~`^Ily3(j
zzkeiw*hK{@*%dPAXO=t{mNo*HQ7rM;XA&@SjD7yER1wO1WZOe`eUuYfr>C1rf}65=
zS6(W}!!@b=2TF>@Kvl(l;PPG)h_DwgGldf&g)o_PCczk*_iH-5I;jYRb=SG6m(nok
znVh`(-WW>m4C#=rE5Jt8-K*Q<5^%Hog4bG~F>v%AvQ><ehl>hhW%rMZ!12dX`BJ;<
z4RfoGiZ*gEk^B8qotpp*wjJy=#*N_uXHw~zZ6eU*Ti4vG<p%xL(?#Q{#xQ-8)jums
z2Aac`$pZ%LP_xF6ykKbz{Xsbn%ex+(Rm&ep=3{`($Gti}YetZe7|-QVBn3ag^kgv&
z6@0&%P&c1r1Rh^coo~>Rgs;xOg9X-Bu+SkxnK^YM2rp?R_+*HKSLNOb)5<?s?X~Pu
zax*~eWTo_crwBwQ4v5~Q8^W9)8VM|W0yyS7zV1;K0tXY_gXY<vur&`)-aS7scx?9W
zR(_QL=%0?rUF^=s#p#3qKtR90nL}AIkTty6Diz2FX#@vNJB~*DyJZa5oQ5HAm0oQQ
zu;hV@pKsQ#KquZFdm-bqp8*7n%*NR{aY3HuFvrwp7hYt<9e`)+!&bm1uej(QNNf)1
zIO)`lS6IdPns@3!%J|4Pfk{??u!H(o*H=91q^5TgmmWy=pH=2!Vus(A)RHz+9e4q}
zn7{0-3sgLWz@i8S2to_CU&k8pKT3@YvJZ8jHB(k>bC=IlH7Y0X1tWZ}`T(8Lf;JG?
zs5&dPXu$bg_S@Ft=Q#aHeCmC3ZFo8Lr7rdY6-0W8*prl=V)iW$L^vL5!PtReC7RW3
zOn!%PhjtlZiGid(7b-1yy8rtHDW6TuF%kbGI@E&66N}RJ`)PuFmi5bYm36F%Ecr?E
zY!~L)dgJ|@77ZX<&Bw^NuVFl^{{8-!`Y`i69)`0z8n7&VR_tWY3U+vFQ2gKi5iB~%
zQ^%t~9e77%#opar#%{c`PVIFb#{{~{l&r+n;iE%bzWS3TtaC6f(EIoV<}x@EDV?nb
z!b%k}@1_<p?hvDGnTu1H>9r!6CSEmYd+}PI>G&e1&UV?i_vtitW~9YWHd7T|#E-CD
z7FfiN4oj^F4b5R*0}Xz}y{b_1C<s5Ywt$s)e^oEcTEITk5C|0yRA9^)V+y5R#0IwL
zrVrXJVeNM}d_F3wfQ=S+w64w~mb!WG$e_pyCO%-Fzpt7Cd)>5~dT%dcCvN<0IzhdL
z?agNO)Hpza!{qDdsD+oXlA#Ml-ZbkN^Gpd7N4+wXnhVCReO$sMGXCU+6E-ovRgtaG
zWhI#A)*esHSjOt~{w6;U+Qy7an&<A2c6sjS>a&r&f~{L@&6<z=!!+*{_1y?0L#Sb$
ztK_p)EZdKKB+i%`)LwnfJz7eFPq*ZHjDN3Tr=PLahQFeLgR?2QdOM1+llpB;!gU=x
zQCUG_YCs1`*1Tng4vJtRC-`f1VFPQWTH-x6O%FDL9}`~|DZn!yOR>o6Eo^4P^7!34
zM%eJMIQ$={0$3NNFZY%2U<bBKh9?m-B>2<E^F_%+=&|o<zM)jmeEcL!-YhGO3wD^S
z&B?)v&Wxnyb81*ukyCcH-OXRO3qSCllmlIXWJiNd8W77RbW@+<gh$aH*_35jP|W-=
z!*iMr?vJv0%?xot<rG7L_GMWxzbmSe&B_28T2GHt0(pR*9Ik6k*yVffvF$&tjL>9v
z)}>IG4-oslsOEMeC?|-#469)V5uX5lw<UgH&=0%roI(W0Wl^@T-&i4SoW;dpMG&mV
z3W-0Qh~QGe^X?as1G1{!mhB0`K<Zv<XjCV{ivi_fFK14$FYL)aeMuBD`;UY+%M)So
z*txh*m0S?sGlFNaNWgc!huVtTM3_<zl&#m~fmv7Lz}J(KaJA#9W|c1y3N5-yf_r%(
zMg3%i__P${cIOn1y&}T-p0>XzmmjP?pZoGWkpPWbVma@3=i;cn?H`#W2!SOA!6Q0E
zSSE1k@_mwpYtN3%?BobR@Zd(XG2^b62Rd6kv*lpjf~HsYs|d`@*Y2bGBM<dwW^a~1
zl?R3gl)WtK;xORdWsyIk2wYtk9~CVtz^|Xr=DrO|fKUT#^~X^%ysNl*OMKTW`|Vun
z$JC@?Nfvy<ekw!V*A}+w@ZCJ~_I{P<9cegeosdC0PXVvCXntJ}3Y^&XKOe#_1FR=w
z4ZKHHz|Hf3_t;Anc)VwIGB%kAYdJrIM&GG|zWei%{}k0AZo1hgo=FZKUK#o+dO;0L
z7ndgs`_<vdhr|)7OY(56a#ALpT^;DleYx}AYJ!)M!*KMx0wh?RTva`xzMD&vB;VF*
zg9wG{r^#;LW9n*U^o>`Cs~DqC+>kD`F%uKm&XYmzrt1|UTXm4U&Nke{X#j*Mj<X|C
zN?`uiLDaHA4O#;K4R0D_aQ<Sj!Md3;T&;fIrtn7<-uk$gtiA$3@2f7qXjFzgN`jw5
zwF+pmrmz(j8bSQ4p?=4IySYTUx=O;30wXFN@4u%QL$V-q?ZI8I6J7@N{@TqscQ(h?
z#Y{{fTQ8_R_oOmhHlL}a#pL0t?JMcy?ItjI&(lcgnG&=S5>r_$WFXVhFyjiz6drpn
zpH568!$_8I6~RUl!j)95L)}b)SMYYsoCXP2KPDwC&k4cuGwIMZcT>nN$x8aY+gnGL
zC#pU-@xT#D*#ioirZE0@?fkV-Ik@c4)YDSI0=mIg7U^>)aO_sap+Fj0K&~&7pU&-I
z;of55);COGlbo7Y!6gIQ9h>8`b-yr*%jr;05fgZ-U2{K5SQ-+xCKeaZx8X_xjn#s=
z#;`ScF;rJU68g>@aB(~|kDD`vUhU#HhAz89a?+_{5Wwkt#*lLZ4>`PXpgq+HUWHgM
zN6rcX_A`rQRX~L{>85Da=#Ai<L}0jWyZ}r#zY8%jqeY=P2cKxf0$5hr1Sr_@0$R7+
z@L;A#-Y-$>l?@ESqNBZ$D;JpZiTzxYVnC7Qa&sP37<h>LG7kVdSSz@DxmGbC?HqFW
zb529p3jVt2XT=09cQcEOW*JbUSxVStMFWsHZKZ*=(t<(MK8$OK0Yx~MT`IHF2h&x#
zuk#oGVV|d7Z^}GiK#S`SMT%neAiK}9%3bd-Mix8o8@!JJdFsr4>UyIKW1?EIa#agh
zyhCv`-8en^qsW+k>8}oGW=1+*|L+%e-v16mLkv9%a?BSOFw%ibIf4RCqkY)E{kY()
zG(8Gr8pYPrw4tHZIPu#ngo)n2z#9LZ4o%MwetP^%3sUCxWPgi5_?wmtfu1LH$ly8q
z^g~lEI9li+xGeS!H!``jIi5_1jGvE@(w=KVU}r7$Q}Z!g|NXajc~|LBS-**iFsCMv
zr-aTl9GS!~xmogQ71E*JmBlYR(HbzHA<O;e?+or5x-RNCLx<MOEvjf2)S)YN>;YrO
z0zPu<_=b@kJtBD7i2n0ehX>r(^PbQw<9Wlx5rH0h)b2#n*YQ&g3PcE;^A4*xi-W>s
zPb>pc9x?CqIj#l=jUFl1T>p!I+4|BJZ^MWz)@!WuXH?-<qrQzWzJcGol>1o2gb8_;
zix%ZZsKP(#&4Re;Ej-Hhm7%g1GqMY~5n#cj3TZwxwqM2m;a0X?#L>qrsKx4q-<x|X
zkaDT!1S+ONHDyjG*SOh`XK88}t)>cGpyJPM`$mlpxSa3zEM`Y8BL^((x+vgQV)=QU
zofge?Ha)Y5*n<LU#Ijq@Q6N(qLQ@^-P~Ibjfy^pS)E=jM`>g~8dLmDme=Md)J+ZB2
zqa9pm<emP-nmlD_nO$0J7iUCEW><?6X?f7^bH}JPnUvwppmEP|0Ta4gGe<9SkQZ?r
zGC%w=MhOb*D+P!LS<vI5msw7Ae26lt(|L|o2@WVco9z>3Lm4$CmlkXV(9Cb==b2e#
z_y^OK2231?KEd~SDb-%|Jbs^Bo<14UKUWtvvU4Kp)(~#1ZXxt|+$qRunFOs~#c$F`
zT<Gavp*Z_?5j1^#{6QlkfqAOcD{dcdbYq&YOk`dRc`W*P9)3cCap~~=<0U-kbnJKH
z!Fv)&di+Rv+d~p);vsf%0(_{}IO1eUmn5P-RBLHiOM+>I9X`uD{78$ipuHs_jUL%%
zN~y1rfJ4M2!$(IDMKIY8-n>Xa_pdS3KX4`kAHP#b!OC8wSm&xiT$DjC-KAgm4v`^Z
zX0Li?yD(Y=a%N_jEUG!x+k7QM3Hm<EOR{|tMJo<lBGuIL$iJ;qEhkDDEacu=oAisL
zewJHgO11*J*A^?lWJ7`X`j7HV=_S!v3dL4Jg@n8|9{irzq=3}w=}0DdDHJ?#XqN30
z84=S3dc~Vm;7rf~_W@^Vq*}`~Sh!yq6?n)JBdb-xQl~m?@+twz9#MH7>`p;erT5RU
zw5h@EL3-7*A7v08nr-T_LqTU559N;2X@J<;ix=NEi751g>h|1a6{JnGJ&7OIgh<K(
z(IAo>63u&AeQ8DoF}x1VEa=t(NtrdX2e$IaEhO{oQ3X|GRR64_;<ye>j$bk0^He}~
zH@Nm4*HlF|YaBZ*Y<ggL6lD(BDk6&mj^U}SstEjlZ<N>Q19RwO|4tDS@@p?OYI>@I
zoRt^C_Mb2Wxw6mGT<=JThDSxVm{tX8vOk==L<ev!!*wW1o{R#+2uEj#6l56CnK1bo
z;8nwuw-z2`bfQ><UQ1pHeaMZ7I)8ST&s1)e7wySNIf#eIR-lNA4Ia<lWibZ!>;(G&
zMlu>^61izNA&36VoC;cuGY0R`)acq65(@XLjlH@igC1~6h1K*L19fO1!-Hx?bhJhw
z`rcnD^s}_i{U5st+~xc!9)T1PGw1!9Q?wGO(5TYmij)a7PF<F~kR^|l9RId19~MHl
zo-KJk5;TEaibbe`g&az5)73~8=0kFIa}}SKjN#YwW=d^85j{ya<TZEWM29Y}SBktf
z2Bl*T4N2}YC?z73^Nb@ClATZZw>Q8TXt!PXuXaeIj%lAy=cTF9?9$+tAcrv=Ey_H-
zWh{lpl`7L!^jGm#i!lbld?Of-;5@)tErAvuee~P-ZxVm{AVWD-&j<>bN@wn!6GM%^
z*aMovI&qIuBaMT*eRDz3{MDX2!bs$w{e^uJmDto17Uvg-0D_tgWAHISbnayeUG=_i
z*swh|5Zi$Pd?(s|app&oE!BMkBcqrr+)l`zH-zT<DmPr#c~BA_*_J-{6VtHsr8VR;
z1j=%B;=g7tw3BriM06)HPf7ZwGnfH%3ti%w&)tJoy52k5iA`ZOvV$Tmr}Uv;H069Z
z4I3JDz|M-#Ok#gmUZuu9(}SasbMI(96RO)=5Iz3;7iLP>^D%u~7swfBZz%TDBZiz0
z7c}iAuyY|QTO&kW_&q#T`pc9Skyg~-3RwNXbmql*G(&X2dFWF9@CFrX`1Uzog=!3&
zEV(6Si)%x=;Ng!3v)g!*$`Kn=!C`EE+wAHDk2d@*v(0rlzJb?TcPj)k_hC&gq7UDk
z)B?d<&y`G_*6_s)r4W|oE-WT0Pd2Va6B2_9-8%}G@r87BZhWvEBXHb&&p^=x!KI_!
zj=qby3d!`&J?_s~6jzcvSGERRnh3f#6+Dl-ZVorUqEuo2x}%1tcK<0?ETib?wHZ8L
zO3}Hd<}TKTci&k$qYm@`EwyUb|HgZn3pTg)pW>tkM!exuYEZUEE@JHTBwlPeX89?u
z24^Vd)#~(C1I^`n_ls92aQ6RdZFVL;;XU@IvlD}=&}s0{9i#h+%dlKeIoH;T#~vp$
z-9D@egWOwm_5Y3I$3oReF7=)GrfX$${fG*@`jS1$@n;Mtt9La8r1ju04KwdMA6Eee
z!-n`^i!nS({`{U=mp)v0%CBB?fdYntgd>N?NAbJb{NK5xhj5`+)_ZMYc6((4@;X&H
ziXZQEXgshpg7cp$+_}O*0scwKQ{8u?xW+A!2SICNxawQ*dt{;vu|dHCCd;Gv$=g4K
zooRmJ-QTsZDu*b+pF^Wlzg)*~^~+BWJ|X<V&tCqfdHWF=6!q8-9h@4&t3`2DqTdw$
zv3{-ZO&<xw9Na5|o{ZzJPm5-Leg1<l-f(^wAxMI=A}sAK$v<$9+x2YN!C5?KJd1?f
z72%!6p_1~PpZMZ!R=4RZ^Ei*+c1y$)1#o*^Uc=Bmfir2SEdQWh#KTwiY^N>m_LTw=
zK4XJP+%sLh)9&sPUTAy8Y12#|&JSnlUF@2|b>ar?3|&|7=WW9lC3$l2VL55!Ozt0?
z@SlP=yTKYRE_G<~#g;7W+<V@4>h27F2rL;d*sS9XR2ki~Ub65)_Ac4Ga}IADug)z>
z-^6n&-k(TrAcE?L?5n4w7jQFK#x5ha9sF^=x#)FGBKZ5|GYiBn;zl)pNhBXCG<4{=
zfk=T2ghjmck@>fTbCo~la2TORY){_(^OBZ<G_zy98_!noYO&Af^b=^2w7eZ-<|6`x
z(O$7X61j$JlSy(j_Vnn*9{W&cIRcz&Hu~>+^g5n-<LKr`Yer<{ZhTF$TpC=O)Ng84
zY~uHyd45QVVn!*tB4!@@q@l2A^!7F44(_A<%>48?E4tp8e9LuA3i5~6DxU;WAt7De
z5#b~bgy;ok`xB*LFxhZoaDp0{?Oi=;_m&fNw@<M3sY(H<%JkjQBw7@yjd6Xn=SFF6
z*$OegC4n<+Du~LF9-a0ku8i^UBJFPX9gSj1sN_&h{Qvn@)lBa>)9@odHN_Y2V<kcL
z#!&^~NM=+qoY*rhA&9b12{);EOTxBHK;pYWR&+^xVJI<72=$l#9+YsBgyuATz2ayN
zL{(+`V0~KzU1@qfo8c)5y{eWkZ<lbQ2xeuqg?e!`<H+cv9VZESM>4EBO}Npio-Z-3
zev-&Hw#Ut{P7?fk&wn!A;Xxv%?rFyvr4iei_jhy&QlK*vBA7GEhdMTb?@Trm(8_%?
zn%a`x`?)S8bYNZpDT((lbe9s*<Ac0~eF4&NC)kAN5=jUJC<P?#c`JvE-V?Yk9VUR2
zmFIt5St96~w2#_KzXB?9$j-}5lL6+ECpk1~;;4d={?fD{8M#D!D*eJP3sXwNe(gIF
z$jrXQsq45h8d<(&cw|@(%1fMf+9RcqH~&Js<}d}JCEDe>J&KUDudy|Rm4JL#o3p$b
zRnb+dp3`OdWGHQ@7PBgnK`uP&{%+E0D4=z+S@94Bt`J?S+}veRN9Q8BPgWgSm;538
z5>$ocXoHSw4tccntT!o&Q3HjNrh4mm)ZwMoo#3<Y70|Dp3ybn)8t9@Pcj8lXO_<3d
z{yghNLZvxjM`ndI(L`oBn^A!_#8iA$EB!%6oiRg-R?3>_V2nnBt*Rc#Rp$8L#*|TE
zyLtZRm<D=V>OFC=)d2Lv3DPGh6eMT!mWzt4fvN?*cPFX>B%SD^eSMFDwB)j~a#+-n
z15I-L_$ecJAr?2hI!HkkBjXD77gbT|1Z(5LbYpN$<5^^xqo7cwLG0D;zE8gns2iu4
zKsoo4@JI^<-C%w6j&6d4woJtQBkWAU>F1Na`EUyQ6Z>WUgq|Fd(aC-0HE0T6`feL_
zL&~U_y0Tm=R2m8Bl1nR;%wUX4=4Z}XB}7eiU*9cW6umig#6Q*C49wG#B_H7=q#LIp
zS6s}C_FT@af1+RpWs0v3*R?31GacNtxks3hO;WG0*|;h6#Q9AL6w9IfGR2HPZL4^}
z2WsoT=S|^%00030{}h*ZT#fG=$D3NJ)6m{~>YUS_&*wDIMo}oF@HL{4inLI+2w7<(
z8Oh4(d6be$qCKdDwubidJHLOg*Zq3k*K^<ZbG<)r>8ZT6SqHQz>T1Vf=AT@`&TIOj
z@00^p@TeWvpleV;>ObE6Qyn7=?K>#l?GA`pLrwbqQKe3tycJEp;KY|*V_u&=+2hO|
zAp_?yWr}&&rq?W)58PXxwh1!r@w0jE>=kQys>r@I`rJ<;q<97HmbuD8@Us%HZ8p*r
zuk4u+=8y<9Ir|zbxL7FQJb6|rR)Xr9R8Xysq#^ZTTUgV6py{Z1>`oyXwbX2VkfM|r
zQggZQ+BOkjT90bfk^<DR@nx>_Tg8ynHa=g{Xb0mL<NW#4+>{*Sf%0Uu7<Tj)HFN&9
z#hw>Ti<{B&WM*w<Roy-@?6o{GW6fm?e#r{+1+g)*&GNj$KTk2-j4khr(6>RZqqSnF
zX*ZeiK<C!5su)yMhfd{gwua^iF>q6~h8!0<dp~c42F>)7wk7FS*s`SbnWRG*krD3v
zP`8YRAIqLZeeScwzZIHcsZ=N7kfijaD4T}xNQFgXww9>%sp$59GC;h!GV^xt1se8b
zODG(?W`P^oIlh;i{}R5Wc%Aim8tMjiy?8Zej#TZBG{N_igw?OvTHkaUBwh069k-h!
zs=(-Rf9ovq?4Di3R`$M)2eP}KG?~F-;=!w$%zuPpP2%hYE-`!zbiPEcG{aMx<>b*z
zoS5-@RYa{3!?91#r_DZ_!frN7^0OT`ej3f{q*G$}UcU3zyq769{b<NBYve&o&GE`2
z2XSnW?cfw_H^GCQ!)7u;i*VMWIs1CMIQTOk?+gkt!I=@CbMF0ouqre(zJEyqKXkaw
zwD?W1dNXsxVxIs8Xx-m}10`|b)o^O$ZDUCPYhV3kUJ&O6@5^j<TY@zWM+UFC8Y6ha
zgXRYp7vr^iSghbmDcp5Pm#Uj&BK^3MCCyX>;T|u<XZA=V)i@<JF^>r;!F!>DJ)-!$
zYJ2RPTp2iV^HgeYXJYW?#Il(t8gzaP#x-%sA?frv30r+8#<rFo{`ir7E^i_yiVw)+
z@}cKx+ol-MdU|~RP`NnlbK~P`cokv$#JOq1X9i+2UmQQyAb~{B^~=<sDq;U&kJ`a}
z1~#=^(y|zr1f-?(D+m?v{=N{(e~W=^M$CRvQwk1L2(!vq6+>%e{}iM!&|_)7LUM;R
zcy4cfcHUGC+x}a2PBe`H598pz2~q~v&ECYBJF27aLaEUDXAHdGe|uS{o*V*JQ?-XT
zYG4b)&hlp~11ox(q$hLbkro;9;9|Tc7A(YEXp&6K*gyI?YNLoAsU=BL54G@QAwzV<
zCMH783igY3DPfWP!=iz2+MotSLx+o)5No-Y7vZjgD;z>~1|qts3;G)5YhsLtjZP&F
z3|0KOUq~#r(u2@UZ%rm;j5Y16oDa#XA*ZN8@yiB%?4Gxsy%%JHW6B44ECtmO^N**f
zX14(r%J?33shHxrOCw!zRvii+lAY084Iyl@eTXq`iYu2&KiKqZ;O>3-*^9PIv4;1g
zerbmp-1f|_)@am3%l#_16$4Ar5M0(j)M<`%>7MAeS6X;x887zcKO=m2`1>U9gatx6
zIZ~!CXk$xe@1mXejIixmM2x+x6)r3)eEQr+2iynTG)i)fuv717R_QWp{Lx}vR^-#g
zSW*^Qx7i5y1}=r9N7&$49bQ}A&_#g$^zPxxr3jJ#(9Lz%7U2&PDmIAf;eJWV0MTcN
zLEFa}$3EFX(f@&(_a;5K?q#ShEiyp0@FnLHodo<Vs;A#2>OtY*#`5#-`iL*l?eN_L
z{Ak{{$UQ+1%NJLB9Ldndg{-a4j5gqlUecMyb$X~9`z6v+stx`x{^eK9S>RZ&f9(dB
z9;W5EQZANjB4_h)xogoZv<tefr^oAp`(TQ}-9mLdmn`|Do6o}0Y$E(%s}7=dDuQ)#
zRFNtpYpGVnLb;00@nCUw{rJP~APZ%bTGtqu)Ut54olKb2*M@oH!R_we@{oA4;%9jo
z3v&1GxLh#Qf=*cfxL$!YGU+E3>+Z79+uWher>F@TdK_QRW=UjoEum)~W+5|{Az{d&
zfn0P3>+TeT#;Ox%@32@9RZP5=)~1G#{96at=LjPz<mj!n^T2B|eB*@|s`xcr7&mAt
z0Gsc7Cl>Mny3=X$_GK09(u+Ce9LtN^DB7>*8v*AIS8j4#2`i;eMBk3&g3ESBs|P>e
z9skr#u3iCkE*+PDNN~XTt+v+njRcn7l8C!gEeEar7ZOH}%n?;_KYG6B+JXDf{Ee-@
zWndZl^2*k_Y2tj1uT$WdEt0k{muo9a<IUM;1=@mB#Hq{5W%meML^NbaJU_Gq`&HsE
zad1o$=Np<D8_(EaeY2<K?6d?_iJ?57YZFB8nRcV1Hfwl~Q&noI;xPFlv#8+B1Tj_q
zy5O&oHGH!itxE&hT=|fAq1S7YND;0vXiu<0<6!F$pF0ilkNeis-KGex1Jmj6J1ybQ
zIk_tGkq8btC0Gq#o+gC#{#bv8C4yZZR!{K=V_w!z^peIbvHGHowrsWq{FEf_Mx_XW
z|KdWt<DWT##{2K|V<8JLa>K6H2MU5RwYrtozd$6q@W^L`n?tbRdU5?W0bCO=Q7t^p
z0hcz{-Gkj`xYY8;Z$~OWmIdU5nXvi(UgKHx4L>ua>uqVw<>5!d@{Y#PNiLLBJ-Gb1
z-W0O-`7Q(3_@G;ovdP<x2e!%k?pXYv7k!;$mFxMC&AGM8|2Z!T<`~Cp>rJ2`{W6T<
z#D^E#-bJOD@gZm7O8u7&CTM!7x5LMW59u4u#m7|hW65nfQQ>Z5M3i-OSDohr*2PCn
z#R#IPwJSh4+!%f;2Ad8J@?pE#gZI|%i_yI2UGbEVF<#$@mOs0fA7$FV_kFSu!L8AI
z!V5V}6!A7xq%IM_AD`$ig=#dEoapsj>%^Y_k_WXD+66F)Mk6t6F)%+nV_6>qS&yrJ
zhkg=7$FrU9xVDQUcb8Sa@?{3Zj3mYy+J(@6>vb3Xt_1RUjZ++#F)*uC-5Vk;j1F~a
zS!a$Vh}hHGrL{nZ0gH9lI*i?iXymTh5H`O~RH?harNe*VbItA<Q8fM38XlgNhUA0!
z0k30pBs;F@H?5=Ll*`;lGE)}6zC<+)d(okIr&}?I&10kQNu#aX<T13_ef78j9gZW)
zudft~!^dd*+)-ymSmhs1Tt%bfy2+M5xvdh|q9QeT*Hsxen&Y^aE*K$#tL@Lh#Y^CE
z-A=XVxe5ff=#Pw#8DW^b<yF2$3Ryc>-kfYy#qF}-hDL5WR#zD1x)w?!_)Ij?_|@@E
zb^pl+3Uo;F7gxrZ$l_ia?-17t4fI+DbEYq&V@ZSN*|Z8d7~kGn{^*h>M2|m|*ngCc
zcrIU@IHZ8lwfl7r4QS!Q&u=wc^>lRY`8s&RK?w?e)Hh!@9VqUTHZr$mKyPg6El+V3
zWNuiuo5<His;Bhlk+%%AMaq?Z6jsI9_F(rJaeXLvab%DAGQofPsqqJKHLOTTIx4ou
z0ACM~;gqN`?uVbzSfQ+rTaVNBzIbT}wXa<zJG+drQFFTYAzcF^-YJ_a*?dX&;;`9O
zX9A~nhkG75XhJdm$g!z8BRt^K`?%$YDTV~)E0=p~K}OP!c4RLd<PO6d?Ly}8d#Ypq
z+Fu*_d*eJ3O6Yi9o?@%vVF6>$BVAeRb>R3o`p$<jI=H@Q%}!@qLSMcpR@g}ww*quo
zee-m%bWnIz&>8{}&YriW^q}#hOXXAx9sRUN+>gR-knFm32iHeEJbz&M{aGR%b?**b
zOzyJ9U%vw<hS%uhmiO@GARhL)e`AT~I1*U7gg>X{g+6@5c6?9GS_-*a77Dvo0P^qD
z=5_n@(b}l~f!=KZ$MvJhhV8)PU7nd)z4}OoN_kkj9zItY`7pPzpzgh_|M63OJRgb*
z-F#CA8v8H(>;A;Tx_+COBv*Ybri!vDx)vrXll+^M?V)+j!^k^d4_q7@L#p%D(Iopu
zt!Aw~dj0maRQ=Wk-Czmdb-F4X^JN;l_Ss|UjwA`EF&+GqO8P=St_a>XemSo&dq|wG
z9Mx{u#(b~c_o)FH9CrP{vud+FHV1nLUS;Q)vekzo|K>{~aP*V+8#8;%$))_^-KmLn
zXOdG#J88%^`z%vC%fi)tyRtsYXu$77zG;oP5JDycGzSV;*pp%2_w}6`qEnBK?DXbE
z@~5-mwwqW83604AZ<i|SH71@uJIVodaxcddZWa{(u9M}ES3ziut2SMGnur?lr!`~(
z?T#-qJnkvN(k|S1`o}0?o{_bz#12>!6yMEdEsvXWRgB|G1H{_<9|C*|2n4jQ3Q8N4
zfdaL3%h>EsLR>p>?A32ONUl4$kFQJ$X=htlrCc4vryH52847k_kUXi6$|P|`y5;BI
z!e+w6H|AsT8e52W<+{}li^D-kvY{ljfw(5s93Xnp1|A3A2j)47VX>t{kX3d)(eN>&
zNV(P;m6GKQr=z0Sa_yYg()tEMvtwoSq>MFYj*svQeOiojo}sJbZ#EOYs}C~Y1zMr=
zR7K2sHZRtW8~7GveIwj{sE#B)vBbF2Wrr2^{E$&Ua>`_NCvnC~X{$ZICCq+kSf1Rv
z2qLfjl6D!hziU<YpOyd%Bx_Y@=9Kf`*TWUbvzxk!Uqe@Sno{OyGU!;Yyqz186wmPB
zhdv@8>z|&nx;ZwVcA;Id;liVWuYVVB{zKfmM8Ep%lo>K!cv`nQaw6ESx#u!%govzY
zX-k_h#oH#k7~Uujc<yOgRLuRC`2In$uW_3xG;+WHoPP6<;3|wiBq=aX#D9J&vb@y<
zm3w0S7JXeHN-wT-TA?~g$Qh5jwRo|8WPOr;2xEb;l3(X4<1tM<TJSs{Ut<hD9}ZEA
zhIzt>N)eI1I7_S&Z~0=f${44vj612knJ0=pQ*NIdo+q|t-&@&N&xBlo-KKl(^F(*;
z>6s^H92g%rE=%9YL^$6ABMG|&VoTpn;WG)G5U#rOZhb!kmg#Z#-0K&J@wB=d&V5`6
z;med)iDDqFGS6T>>mTvV?MP`x5DysN{yVooW3YX6wDyHJ2j2Rs3dB$GLTtG1px`|^
zvV~90SB`SvXo~(%kz78c9A}nnT29A}mC@eE?sH;vvcW4WQUD)9xeS(lHNtyqvH0+K
zE(9dxzpn`v!eDXivPH^9NYEeKmKes3tG*c9cv2YUzw*)!ge^rthlq500uNZqdn{dR
zM4_S7W2V|*h!fco-NP?<p*2yzB2b;3_v~nIUb75wrdT=ffFK{%nAA31jSvS<HP?HY
zmj+PiHy;m-<;Ny3FKMAZ2~@Y|mYdrefcbLq(6qcDgwLDQ2(xpR_q;E+%V&LDA7CWk
zXLHtE-0A+To-`6~G4)=B=%eoHk5rv%VazQ1dqnS_42F$1iI}SEV|XDq&$&+&ag{aW
zEmLw>Gi${6q(=|$x@awl@?x0DJs+zkr--3ymD#uwJ=|I)v9f#vyT5|I#!o@Y=sTM6
z$n&`#ib`g;?Rz1C0B1FK#X%KZG>ZCc{9X^cX5G#$qA!8uiFX3YwrWUv@wvQkSPy>0
zmc2df|2O-q&%GB}>QK2VY4wB9$3V-X(G^Ezu=7~y-d{?Zpg)LJG<vQNo#)Nog5Gj?
z`_^a8lLuOO)husy+1CKhezMzBT@{d({a1r@*Fo*7&|CWq3}GcaAl(?Kgd^YY{1-B-
z3;%U(GNI;6p=dQZ_MPo(?VDrvJb%pg3#*eq*TxvZeNckB6QPQZnf~<B9fq(rRl3{G
z&J_v=-WI3jtAS@ztVOGw5y-njdac0>c(bDY*8NpSzZ_>1zds$_Mx}YzqL|Rwq85F`
zRufxGP7CTOGQhm6#<VOjhERxN_k&Yf5HW1~h%yEebRH>R6){Cor}Wd1dTltf#^m}u
znK)-y-PCv93<EwsxAdjieOquW@_5X|Mx8DrZ>9yjKZNm{tzh$JjlkafolLxGxaoRf
z$Pz*wG8z1v^|3x-YK?R=6Hy;ZU8{?%QU6Ul^!yqFB<6it<8grr|2m1-SC?$Ti7fLp
zWkaa$&HtOZh>3!h0o$QK0`V?irA|IGgu2x!nPLkDhI%i5Z8`_+estg}CAt)o$@iQr
z_304&tgU)<9Sb9AQ*m)ROX1vkqD#Hf5Iiq?*3Ajp<G&oo&W&@1m<avM)ACCXUe3k0
z_ov$9!A|Xe*{2M#`)K<!`(kYzFmDq3wAca4Wnmsi>J9MWQ3^E`t%2mD$=jyaI^e%=
zf{ag{`q;4YpH+dCDvZ~^GZ%_-fa7r`{W|u$v&gl*q_3`k&Nu@Wf3yRl{7%2V>aUCH
zG1?xMnG|{#9)}#;?0`tI>rIv&+9=v^Kj7^b8jh&=xhd*6pw^%H#Ku_*i{2&g=au0{
zm*m-zKh5?q)%a!8pQ!=$9oC<#-u@#L4lzV!4%_3;OYWR66Ka^@pFRC?c!UT_I}x{@
zW{*b46Zrw|s$eSb-W-3Yg^>6barav)o0~^c6C*Y#qba$Bn{#t9IjMBx0!^D;|9B|e
z(pmw-OFh$nZ~Z}rY81T9c?kT{+P$>MUKTMyp^xKo2FU)CHd*OrK(?FuT4sb4T$EC`
zulzeg9(72pY>6dsH?rC`rd<MtyF|nqeaFc2I(k0S*X;0U<hXCfAu&8~d+ZhcZk&wc
zoWD}^(iZ3btzXM=Nd#^C5AI_GO^`SD+&x^>VFNe!#<pYE1R+{IdWZ;_AP?m{*U}ZW
zfzGUorYRR6#2@88JS{vyYV<x@HsELt8^v4x5+Auy{p94Vr2jbiTSaGkRh$)eJ`3MV
z@8N*5U}jfd<QQ4}*}yZr)Di|3zU|@#bHr5GnbKDgf5|j{zc)#umasa;(#_GGBJ9^?
zxr^)?C0AVRe)npV1)?}lhXv}65j<b=XvzK~r26fSf$PuAF*h{2t3GR(pj#UFa;+aG
z$8u*BzR}F_VaO?GLAsx4@Qmb`to}p#?au#X5^4sUPyc!q^L`OWTH`*7OAV3_cX|2y
zH<&_s^DOsBZwFCkTEWsy>L*L?UM!S_DUz7??#V?r6VDHZ8l7PEkyBGskBuLiASCUb
z<59z}#JQPgS~m=O$&)n(riWEbAl2K=bdUN#45mz$hpg@)bBkOKlwL7LKjHH--nNkF
z_Bd0a{iK`xuii^_fM$%k4UL%w)=5OtUZa)EJ-SJ!9+S6K=a{&7HYEARY#!Mwv%8O1
zy_+;U9K^AL#)MYsGUkWnMWl`02i16bH`%A3=g(sMRFt4gY3Ri=GW32MeJHG(q&vS#
zy~Un4{pvzJvZ0?y<G(Rxg`?f%5X0fZ@?1LRcG}vl82LhmKCEfIal41?U`;e=TF~L6
z6Z=e_yPjN3i&iVX&`VxTs@v*($p}1~pR917Yb4|2zg2&F+DBf@Jl+>jv=k=J%4UCi
zTS)phy}Nz10rH<B)fW1PJuhGEvoL7-MqYoYl+t`>kn9_;{O+q^2=~Ub4thH}$RqBl
zF|&t<NHhJ8`_r2YaGtaC*Nu@*@@DI?GQ;v=(u$VuW|hIt-~Jhz>8HBLIM-9}{l-Sf
zFB3<+dDuMi-LkV{mE|w;cff>Sh2vlHa&*6&lZhSzWIvxS<LV}5J?k3e-;9wQyjzzJ
z9oI$F*sY`L13hHp0k6z0{uAUQw+xQyHXSIh`ZAwC(?{k`S*NNSOpyf%r_(oC>fjc+
zvTe|KkQCG{G~8q`L$)eeKGnLRjaf_ElFZa0vM?lyb$!bmsnc9rzm7{AURsf9GfE@m
zl`Ra@p4tU6`FlKv$X+e<wsW0$dv=tpy4?P0rkH~&6sT|u?9{}iR@u(mN@L_cyEng2
z5?oZ9#>2&l>olSB?5g+q`f>8ZiRCBNy11!wW4jH{8#S<QbI{$K=ac00#G0h+$Gp^G
z`ivRNPXn6_uNg*`O|##nKI#34k9wm&VSlb$9Wfu9e0T)s$YLemD?d5}D5GPiJe3cr
zBev?B--`rxf48;P2fHq&v}!-rT#-~qW=Pv=Rt5)EL$%~3j)_oak?DJiUZ|n!HEZLr
zDi<}WxguC$ghs(wq~lx=yZ*-L=1@5|wNpQK^O3XS)K$;>%Pkeuuz%y3Y4Pj4R8i9z
zkLJ~ql*YLv7iNblUg$QL9=XOxu~t3`{NgA@&Gt9Q5(TOVyBIi_St&r(=zeACZkM6H
z-{(s|c1aZz3U^rcri&?BM}XGTw{lcQi_z%Sld3rLa_CAxs|aONY&c`#rbvyv5$8@}
zua9h*6;AJ@QKLGK3^j#RsEx&@{w6O~(ZyNVuM#Ovb!py=O+2qk(Vt&*ZJJeuiCC#u
zkC`N8ZNVdU*hHOT6^}SS2~fkm$kDecic(bYFM*KU84c=7esD?Muo~i+-hHV?GSu$u
zsmBAIT9oSQ|7NY(erBrpF?{h}IZ8#bnl;y>LuJ1>^k4fO4cyp*>P_DiD5scl@kPS=
zlzmz%nbn~Qj@=WjW`~ujc)8Wh#?FS+bP9izWso*(zvny8sjE_=JKuCFT`{6GX~iP-
zHo9nE?V|7`U5z@kXD?Uk7@cBz|GV_$fIcp*lKgg-p+VWIaM`HHF{wcN`ANSeOVRrD
z%t6jtO)7SWv`_%kn3}M%S8`3JBWmT1fzB9hs=HwD`4q#1nw_JyM6YE+s?Ih~m7z<C
zIUh_76*8q<@-#0Pc$?ttf7J8rZ+g_eQKRZtk4&i{cR{M<gc(wuR<5)-WI%nXTj|a(
zYDQf<nW|DXV1d6q>Xq-N4XNr!v?>ERGpc&`){52ptx;DKT=~r1i27K;p&Rhtl$yP&
zpp`0Uhc<PSnGj<-_1Wr!m<z8dC3W1>RmlU0*|#Ri{sx`0{rGF+&lY1U%IUJyibNLv
z=A1n6xsgsyDPG?A(}hVr{&HR~G0Pq&>(e4Nf6}STb;qwP38YguTXt<vzT$wAO*sbP
zZ|Rhep8-dAhynY4*N)v->j;*0*6L{Xx{99@#}-v+Q?DIQB}IO7M5>?JC*8+Jl>L6O
z{TTx4RQ=WT#8tXZSiDu;WzK#nwR(elTv>$zwY*^I=>!`maPRqiz3!v|wKG`5cXWv)
zHUCUZnpe>Yg;rA?*Dvc)Nro#+(n9$u$>G()YPF7Nh(2)DGhBy~@d%}PhmDg~ULCYG
z|2g94m?vi;p+%*SB-_u`ydpfD7v75fc0l$?j^!Q;>QuyzD-EU>#t4t?*^GW~2P7)W
z;RK~hRp03@B`8j42pt@uy|G8z(~K3pYRXg`PsSh4Fh0mmo;skYYL8&6S$~JWa#Rd|
zkbK%5Ayfr^Y*anL!rIA7%>xTk6xXNoe0kSJpw;?Zy74dYG@?rRq?-g4R(GN1<1!j@
z))d=xYz1y#SR+zjB1(Oo^fhm8qv0@dB0#Z-z>;kDY0+2#>bf>_L%5C@UX=Nl5u_bz
zj!|dkD!Hlqtn!?fc4CkfI^xt(ZHs2P3!aZ1=gB?y_J;E@#PGeaBH3ZU2Az-E7FA9B
zB^9mW)<p=5VVi(o(0(Z!Jm?fr9yjYI^Xq4Wo!V*mwm&0etD7|@O%E<E46h-t=F|q+
zKBD1?>*#gKvsTDf73vgy`<@6es!m`Wqv4{@%ck><mM}3D{}^D_NgU%5X88otV0|rN
zic{YbzFM^vg**eqL||O%&6PBqs6P1MX@Ui=TYnl^=o}?v7Ok%s@}ME3=5QXZ&m4mS
zuWAR}CkYkNiTp#GY4CpCD}U4596={}Osjln3Bx_BrfL&tcppCDJXLCjx;11Kr{q6k
zk<(ziRtXK#*BoWrZP`A4^mlB-a!w5C<hXcAiJ>~|Yr4uCwvWe0-1Zsd!bJ5KUA{Om
zcm#+lWw3L|zEX$R{&74gwlZ@2$}NtwXEfLQRGMJ9q4%7L;3Dw6UA)~iO&r-*)K0tl
znLx8>&fxA@K2(_1@jmd90OzKc`B(lL0|8<`7K;fWb63vKLRCo^AaC223&v2DaDCy)
z&U;m3!BQOpOHk}wuik5Fj7f%9>p#84*sw>$v|zCmj#%lo9%Oq4N7aY0brr%8d}8^k
zl<k!{Z<0oLTw>zsFXu>)!=jLz_%H5BkPOl*mEuj<9>X~O@NHQ-4NL^C6@4v>B>$b2
z{^CqXJ}#DWND_mK^J`!KrSgb6-B)+?I|JGdHHpv8iep?x>nAs<04i8d)c+|1RZ0RA
zDc2?NI>PCiWv~+7S!s8^yu`q7rs-<?LP^jP&YTKYP{A*;+`;3q44BTl{rc6t1gDcW
zjWp9#;Xiq}t~`Q)vV+RD3GBXU0oPSrCDc%O<D2sBXa;gmtqUEBl|i8HiJ}EHbxcjH
zo7#}fKy<y)k=%Y+G;4b8C+#$lzGIsT3K`IFi8|P`Qy%{V009606qt8B*54b(t?a$`
z-VYv+nfbXMWK}9fOUMjS$%s;vlu{bL2`xk^5m6{Tp9U!^q=+)gN|e3n=lAb<-LLby
z&V9~(z3=;+m3ck(#ZL`3-#Bho{h?tj^mJm(vMhKUr_?4dsiV;3=N_xo2Jp#P&MnN7
z$Kd{&8-leOaGi^^Uwy>@fttdvuTvF~D6aC`eO?o;cDY8J+=kc^AE}xys)XaG5AWlp
zXv608&$OO2L&%s^CwVa`!(L)q;kYXWap&S*l$jbqWD|>x!k98PiiyPv2J675`ZGV@
zgb_IBc-!N8RZ#8{)T0ut3*k|r`Jq~4Fs=q6qg53{MmPFBo%OI3<*_EK)C9MVyg$hD
zMh!PQ#R^)Pskr*lmGyj?DMGF-zj#rk4k<-P;fPaIkmqA&Xzx}d?uF{4-x&>jkoeZ%
z-%Le@$Hd~-zh+=qKiw+jrisftuJ3!<PQ~`!gA1jK7Rc(;Y-r}vLXIkVO)ry*gLP(u
zjqa9M_Gd0VmaBy#9@qa;c&S)=_o;X5Su3n=tm|-))5f0Lk!v&b^$>L?<;knZ)~GvH
zncEz$jn1h<T;80zuv*`~ZEX{Q$hVmR=Wl7F=T81)Xa)trRadhLgMi6<7o5g(wb7!W
zHeWWZg#g7%!>c-gZFwQ@OAl)!>uq_tB)=v)<Lqy=n$b~bw<hI>hBkO^-Y<E;qmKRw
zg*^g^bPOuaUYRe@!Uk53HgZx0{r)vO6DsHsNQfP&W7ER0)YSFbHYLR7UGf_JLdO<Q
z*CBgLO;GkI<QAkTAjtFAPNr@;+&5Jm^>EXGdd%HZDQPnJ!p?R~>@yvKsgDiQ-P9p;
zYpu0qrv$j&_%5lh?7yelu;QDI8cq)dR_}=s#iti{jwPR^gXTxytf-=jH@g*&ZrU#d
zQ-<SbauXd^K|fWL7L}o||K=So@L{@TCUpbf%K8Ca8RJh%XdiE>(_`hrD=*WSD<sfC
zf0U&BKoS4y*QT}^uEJr~jgHSk0Sgu5t%9-&@a+sg=qJH~P|6FwTjBsqlZIyAxGb!9
z7u@Q${zvHiNYB3;L*QD);-f=9rSZkX=N&bAfjD-!{Vx5LHFC$Lo;?_sM5=LvLQwfE
zK_B#X6ymkUXF1j9G!+T>9L{#kYn>);1}+rjxmh9m?%2kjC^2|ld!_QSdWv|L!)>XV
zZ3*VYbpyqJM6lJM;F^>36p_eT^J)KI3)E@X@HL(h#@_dSEz>?z#P;HAgaq9JQ&p>Z
z+nt3FYxXg4baaZi@FDlV<5$d)qhNjZudX0|D$+d~x~B=p!ySuLEARHw--o@A{rQpC
z_<Sr(d6ua6{rfL-y&1HoBAj<V<b`@wlW_ChIihgvW`1(<YN&6r(9c`V1M2R=kBp!N
z;>@$Of)8S=5q+VvW&Hvd1nC>%PVHJEJg8fx_s5&Ub<030{}d-!uB5ywJ^GKx+NAJ#
z|6dc3{u?^0lsRE6q{!RV%Y+$@8=RkfOz^I0s>C&c1Ca;*`Gv@{pf=t{G_&0p%m1cx
zg!wt(cGRfzV+bpvW%9@B-Hkzf{KR&&mK_&=^4&W6o(*fA7G1+zjj-=URdm2zb_74u
znK@|34xycz=~*5|FkjNk8!cgno30p-N;3y^x-$!R_8a1k%#F4yJ?u#EkvZvqhzotC
z#B@W1A%fx}hO|sLu&vFhGSrL*#a-TXAx=YFugv-0Si}ME$nfSW2|nCk&~0<QWq=9k
zJ24z<IkC6&M+CpP06gcMt7@za@VZk@{2DhGPJZ}(qa;fZU(U(07If2K)Dl%uIKqV-
z<%p*T7(x(iF-UYwra`ZN?}gk+Zv5x7Hv8|4Fv6F9UtKn(fjaQH-awIerEYvGy6r`A
zzw(EP$%sCr*L3D>IKYRQpVREjMPgt#xM>+$ppWF2cJVsD`0?$T;74w%1OhDw7EMC+
z;cg_=b=6J~%G1&P_v<B*e=3TJFw@83?y6(4T0(f=WFc|rq%<aW*^I5_*GD)Tv!aBm
zFvb?-8LhiyacXXfc5=n%xZJ#y+>AwF8M*2Gn43Hr7UgbkDx%_w$)-A4Pf?`&X%%xc
zRfOW@_l_G^{BH~M{jBvj#jx@9&4%U8N~jJ#H=>YD#g2g`O39o!VsCY`{)tzH*|81k
z4{E4b^KAIVP^ctK&${o5sa8RmUC*1VtMozXwc78yC<XH5SWgV68pL$mSErln<H7ZM
zL4!OQ{HyComGxE!dv0^m!xQ?jrLs3I2g)J)u!BeS3k}@etz_N$LmxU$4mv+<6>yR%
zo}bjxLTgf|CCd&PZVs+`doxQB!_#4YL6^0WUi!vW{5K6eZ5M1m+*Cr}mjuUWvlKYR
zcYk@4Zh$r&fj?D+$~e){731xyi>D<g+z#$GL_)6D2X0aY;i1OQGSc;6t}v`K;%J16
zyL;b1{-TPgT@xDHo>L+CqEgAp#Tak@&WtP#tKn{Z*~#)<`gpcXE4#Me1Yd}xBCln2
z1h$3T+4n*pi{|%;7Y|H96|df&vq}^CQo0=uY&0}SG9u+z%rN^Oh6filk<xX9IYN;J
zr7J$N@q5g%E3fuJ$9FBPN#ywWOOS@`+)O(p+AR=dtt`-&t&P&Gg`OWx`p7Q`_DglK
z!iVE#GYK{n{4f#y?YUcj#TUQB`<XS0UeCp5S5lzNeJfSz7!~3Q<DB`t!1M3tPx7+p
z;NIKVPTNjhaFD{DCmsMQwg0BxN$B8dVxwy05Cs=GhWHjN=!guL=8s*;qog|jspL{E
zd<l>ioqI$_$Ri^9bS?$5TUGadb=1H?@1#Q!!Zxtkvbonqnu00jYolLZs3JVQ=~BL%
z4Sp_8NichB<IM%BqGJZiko92qQi!ub<J5fHp%^V}H~yKlVV45_c>5`rC)<GSM{i5d
z-j%!&^rvyD(m2!A<G5udzUS#%?@e?KB)%J%&yo<w?M1Wb${jY4;xB*fzPxfT<=c-h
zatWi3w^vzN%?8?rA8x1KSH<}Wu~+8(ym;A{9Qv<|j?jh<jkOz9a4u^?DB~eJu3o4z
zD?3kze0KdLF`<Oyna`!?4=^KGXF1E)h>r4G@ZFxN2%9`VMGwn)qSVz-py?A(I`6vP
z=s$U=cfIaucA6l1Bhn@|?gKWS?QvEWl*Pl8Uy6sx-^3OT59L};pl~xNZ|+MWZ76Wn
z$gQ75|7*@mn`{Z>R=x1b-z$Mii?m?f`yGU(z+jbHlr`es>IpO4#Nc`UO7*2xEkte(
z=jI#tt?>Pa(ZPy6BKSH#)zatkk@#>*J*27E67#3$0%Y@rV06)t-E*v-@N^ip4_CIt
zVTJnI^L&C(uVg=wHrPNY=zIAL`B`8*$$uZSB_Gb1QzCEPZ6p@i#VKKh=2)F0La)Bh
z4cW?Vwbx8qh{}H%k$iJzINottbAJFQ>?>qd0~*_iq4?8cq_Y`ZEl+8^3S>v1SJ`5o
zX(zGksgCZx?A7Rv|J0*+pAAL&UB|lQeh?>wuC**In&RX8rl=njR`l!?yujqqM^GQi
zKeXLtiY{u=V0a%hC|PlJ3w49UrrY1<RbHAvL++?V@FynJCh(g4**Q$SP!NtdOfkWg
z*M}16KmQR$w4>r5I7W%ws*of~hB5wbC=ZG|v`jFqKQBByI!5eJts9o)F^1vo%(&BD
zOGNv<t%~u#CWuzPz3e&(M)2iUYE`(jNZ8kW&8{1tB6w_nFK=8h#DwpW`!Bf{iPc&$
z+5P;pMBnaxKciy|(H2sY`RMfm;St%uRfT!t=uW*SX$uB0{H5GB{d9qNd%5UI&Dlj_
z$3C~qHxmqCS+riyWn_WiRW|XJo?IsGF-F_dcnq-qq;H|2`y#<OC-X>!!Gx+w=H$o>
z8v4s0W`CMoB(f}&&F`-CIeR=yt~*d@5d5{tpS^C0xE}MhbaN6b7FV+ui?8@iS+A_4
z^T%c4Q-yW5DE}%vd7YO%xkDezWlOW3tC)}|cCMShbcL(;HRYzpsF>!kC^%Qmgegx;
z(`%8O2+`a3<gy7BC%Z#3zg}R5(nOp4dJk^gvAZfGlc)#IQT|G!cow|;@a)S_5HI5O
z#h%Qx>*7bqw&u1JR-BJNd@nMG9}ZseVh=5J5&erMW?#Vu07gK$zmvs>gvd!jsLXQM
z{L0q>ZNr(%bT)RJdZ&4(yjcjzQkQx|<aBU%X!6{ra1Ml-?o&BnDT1mPU8?pi3i@`2
z)7P+b;Y78}@w=}@kt&p1WUo&_(V+fUxfk5fxT3tPK2#iqS$lb9KWbxXuQZSRiqVzJ
zN`6~wE(r)Hy;*Zq8}+S9HD(q3_}a8a{(_D)9`~oU7ZBR;RIN#Kh!aFiZJS7^y(}K9
z$?BaD)5f}QHz#!}gz)dR`39VoU#ZuV7x%Jg!&M+`Xg~joKD%n(k~l?h2!y`~;nGIN
zfX=Ow1W|~b{}HC&paemSktYkf+VFcj_bysQ9P2Xm_Bqm2aM>eNUMxZzFL^i0D%VKh
z&CN&Y8HK8V@ew1#Zf&TK9Bg@)E(INRvpha4b!4a=|Lht~L9uJn9`zI%oWEILoZYPf
zpSH-jL2Df}{_U~bkt2s-ncrNRX<Bey$Z&dVsS8KGzPWc_6|k{-E`oJ41x?9GLM+jG
zXxzckx?fTW$BYeDcZuubSjTPl^a(0rf;Kezxhlh5U3F)0s~!Z7ISPn;(+5wG`QqiP
zDmcGxs8e8#K4kcNiy!sUV0~<p;I9Eyocw7PASy(Ifv~8votPnBjxN{QS*k<3Po6NT
zqv7_`d(MVoM!4F0+u!$s26S`oCH~!Q0H^d1qwar<k>BCCx$(OugtG>%L_Ql}KKzL3
z;Y+6IygP3HS5_NaW_F(4Bx#76cj-P$Tg+fOdbwJ84F!i91OEO|HpFo8x}RrsEl^${
zyC}9^2ftdf8}ddB5bI=|Br9ZvqH8;L>QZ#!%qlH??VtgSuUhc08Mns!`HihoUv#0y
zle6UXhz7om#EnsJpzEPP_{lYTD6BiPtXixOhSw`ak=1n6z903g4c9}+Z{L<T9eTL+
zukp(KG#yIW?@uLc*TY^eHusoG3a<F?<55nxf!6IeOe(XwI9$-wr1M%6>8qYgJruFU
z>s9t?k{fk#D%$kOrC>D#Y+<zb2ic-H$te1zzYYS`ipmL2Wn3uQzs4oQ7RG;>Rb)ZI
zr`G;A5z%sZ%;Z&hIoB2jYcuDy2el9qc-}(LS^~1CuH<W_*y7TV#9F64ni#uPYpb0i
z1mmb&kLO!$k$Ji_D6n1~nKj*Y*0Y?r(A>bt<FUm7`#0Nn$f}|4J7aHx2@`Bs-#58D
zutDtia4{!;6_|uIT~#j{Bc7yL34Wp5Aoycy7QI*rw>g@o>%6}Zt%<R+&)(C~>oFBP
z!>ovx{BJDl)EgPbJzAZNEp)`4bRTqiBMbK@uSdLR`WXS`fg_*40xt}ICmNMXL3LvN
zi~!ddqhzxi!^jJmRY)C(t`|oy`+rkoOOuSBckON38wj{g)Q_H!5XBkq>c-ie8AfA8
z2Cra`HL~{HEH1t(gyth^3TftZj5kTUcQ`FtVdiGn7So&jFm#gFy!vmBVPiuT)>N><
zZR*kU64Bg9m{6>#QJrTroCy8e<z$I_t@+L2<?OiLU+`$6WsX7AT<6<)!~)gFihh~6
zvEtE7yZ%hWImUX)yl?K0%^`hj?I-(<Oh{@x@H>6iETi#3L_ze78TJeb2{DKTLeVDe
z8FTOqV=g(9vXwAH-e_b=Q_M7x(LcGLIb@n4C+1yt?%Zlj#na@1FizaOp&EZ9Y>E-;
zc&Fn@k12TNf}|?BM+lQWej|sDO)^UL_TG%KFh#(?p}ljF{lrW6cTr(^6O4(f+Be5C
zP0%(Kd;j#^Zo*7SiO}vJXFLjz(T!g=Mgg~H*>{mvVoP}E$D3=$8IN@m-OK`4=Ca=7
zy7_z!M4y?O=)u}ChHp<y$$=Ilh~Bu6S^w_|!LM@6X+!WBqjj*Oa(aysQg}{T@J3u>
zn9Dp})-xDm2nIT_U3+SX(^?;dQyiW%%+GG8rpu2pw4bB|nHwA8DzA{l6UIA6F8}-B
zH`Fo4dUKk6aj609PXta&6*V)SiqAH5`;RfqPaCy&7#hIY`{~!VE3J%BH!iPLFUA;q
zcR#4RT|vY2PX(Di+Bb&d$qB~;^l?W0bA!iYSn;1=`Ev)IyBUn`F#gnmaR%+zH`WIY
z`lw~`8u%RagV8@fJ-|^m!KhbAy8UXWKHiJAIGDuuGCViwDmC4iWc<tU6LtPZh0mU@
zE!<c78GXZdZA@QJF?g=XZAs#wf@#iK+2+w8BjR(+g8}XthSZdYj+&VsZmu2D-P1M1
zc+YKbFc&w=P+{%eE_Of{%>p-mGL%Lbw~LR7PAbeZ;u1bouPxTW8NskhpM<{*@&NtQ
z*NFwj`iuEeuO}#AVH#vAVi{vR(lA-nSz2NYBr7o=x27PliuQi@j&TNWgzvRQ1txNc
zeVFr7sy6hrjyHzXPcVjrKDUK>Gn0BMdX_u`TIlvSE<Ce+iZNo^I&ktO3z-@|+AFw5
z3#ps7KfKF1!)RF*tZLxIM$S5Je%w-^3FALO#RK1F8PaDw)gRBSB7I}?gEPc5u_>-A
zwXl7jkrR0W51Tkh&$zy!^3xi4z*dodk9~<DCFxio*TF>|EgX={VAa5@N)zut{{I+j
zE!`$}N%E3nf_d9NB&kC&qF8-$nTb68%E8O{JU_YIAjixqqK<ufztt>)S;$k-L{9%L
zK{CWHyoR?x4VG4CET(5zNvk_wdbi06lYRlbK4VU5sHFJ|oWH+{>@N$c^M58niYH(E
z@9(rKjtf~B7oO%Ivy966wGzchyM?gZ$t9|gBfr*JT;?K`UO(N?9VJ0>-r10N@vtgP
z3$J7ce&ive1tX7qN|z!p+V;FL*{X^NH-GAXbbd0Zzs12}NQRV=;&m2xP{q{C0Ds+R
zLGs~!^7-}y^5k*ljIgyXsu=YdpD-N}BAM>g@eHRcl3Y)!Q;zRf#RgvQ4Cj*~WRyS6
zg+)}EWPcV?##5?_7nRS2D(PaRkNDx?+YeO8v-|Qxhb7b?X_<4jR8@lf#p06m+fR)w
zJNU=;&mA?)9~mQ*^rc9@Eh005W*Ve!{pi>HJ?hxHw!Y|?zYG~L`F4$(rWQF{;oBau
zTLXL@7gDop<j7#>;^|^N3b`kUBOoMG6FjQf9;TX#B&Bz@+txvsd=mGzLS==cN!hv4
z4#$;9fsb+JoWWEw>fp1n;J*}1T$bH);;%Ak8lZ7PsaBsX_3USmvU+It<2LXMRV8Z}
z?wnH}X{6?TZ@v$1`nc=BmnlEHqI>MWwIy#2$Qj94vnP!-9G!k;AAClGy!Y;?H{-4$
zNzwjOYY=aU@FP`vo8`2~ko6DeC%uixn-}<3E%_K@#Kk95@vb&$keZSu+Gj*=jo%pc
zIKmW~(=!oXiaKP}DuL&BG>l2t-u_>v56lotb8wQ6)g|xjukbaIH74C2Kjl<svP5cb
z$*q99dgQtr93t;3j7V87iNq-nYjm%zT{nB3N*ePnIG>*}Bqd)BuCCn*ybTGss-U4y
zwrxqQw`(&XAO6SJT)&@=ukUUom~7Q2tD?^Z8ttZ$=DtUt(Zg)8ZF>ci(@uRdxrI7(
z+?q=M3;gBzdyOrkq|Zg!()7v7z;bhLXA0Tpm!tpkuPvB&@?ShsN+rMTBBy@~X^@qB
z?UKI**nw>(R$S!19+|E4Hu+bLGC4<WHtR01!>Pj$^2WF5lKEjd*@NnG<j(pN+`p^r
zP-<^uG5eH4X1ad3m|-JEx^68GUcO<6%o}$%%l*+J8}D66JZ!*AW-6*hN$#?Px}5WM
zr+E!BEoikoH}Q|*#MkRWTe5|?hM|Y~Up2D*U2fL%vY(9grrmQcr)<F~?b>#uU4^{L
zdaPB{po_2+Uz%!Uu|>aE>aLhNB~mbFX;^S%ig<Q9)SM~G2975;K0A9-fn?@YaNoY4
z3H`Cd4qbh8__l~>ROQH!)B6vZ$0W01+uP<LiaQ;Gmo_BvOiGXz_n(_a#c}|#vr-9f
z0Y#H<XPgp5$uXqbS;caJU-sF|X*%$Z^3HnEMTn%hdXer=xj~yf-r|3h0DD#D)L1ny
zx%=0Ha|eTYV6W(H-f+?yc{k2_cJAgNkFZT{AAZ0C?sZcG+cK;$`Dw?QPbXQ(D?1`j
zbmj42lx43;L4_rf$J*4G9TpjzeDjnF_wvA8oGL2u(*ijM?>DshPcm}s*xj=vc%UH}
zVftOd0$dRnFWVIkG5*>~k6nGjji}nDJydsdDC&}FmBQZ`<*~L`2Dft~{@$(EPS?$F
zOJ&jSXlFU&zjR~1_nh3|7C8|WGrSsl%q0u6Denm{3t=|71};3dJUXXnyBfpVZx5!%
zbQ6cgrAJ>Ca6#d_L|El5Q}Cp`oTA?!Bsj8s?oso(z!~JB+stN)os4tgmVBcGOAY((
z!q;5T?0UXOV4n%Nj(@Jda&Us!x#md6Lk@1tRHgcAb{S*o&dK`J^l2j8p+HIQ05=r9
zgtPm$7$ZF8!k3YxIpS>l<e^X&9vEHgv{q;|0$W&NdyvZ_u~3qH=;t#YeDV>?db-gF
z*Q}QWU(78N#SK|c^Rs#JzLnx$^u-Ws&Apua-ZEiV#_=PaC4BI_wBzy2ZbST>U7g_|
z!U9E(Va=L9{HS}0(A(n%_@n(^v}6}628FYIJ9Gq5qIs?Q{b>W#mQVjV@_-Gs%w>Uc
z^MdH#$+euJYJmOe_dmU2XUFqFi*dGYA%ywXM_Sd=py@x%6&T8aWv}#>Q(eN)C}F?2
z5K4pYF8AZoeVpKP5!g{SCxXq*2Em%LG;IDQaV~V_{61ASW<^vny!P?V*KX3sE`?2_
zO=7$lot$(iI4+LCxnH;9&gnykS|ODEnGZ9)9yfX>Bydiwx%<&3eGFagZI>?-Kt$Q4
zCl?Z>u=H}|eT=+5PHjq?v1}K_otFxWoyIaa^|eQv_KS*3p<X+BhlTL)30Rvr<<OjT
z!eP9Cit^fpbqOLO@Yt15NnMsl&YyD<E(ugTm$`l*c7rHJzw_7_pH+l;<N=%f161(l
zNlQuPh++GvvT5aAB|N_MxbI#Z6<T6Zf8uy0P(a&VZQrU4;Sw7^kGoWSd^o^+DOD0X
z<*Z5t#Z_@RW@{(c6czS6oLMF*(hzo7{i4cug*T*xZ=Rt()ZKE{b@#~NS2`(c@?0HB
zy@5@K67=z(!9G^85;=HEG``AI)<m(I$=CTleJKAOzy9#50_4JXjVz~VL7YCfN7I)E
zkDwaKq<TecTg=_OVOATHGMTXh^E8~#8WDWkqJ;22HOV@jI_T`(@7Z5u0JiNRDNg;$
z=+Ce<`Se&9xmn+84y^FPb2diy{E`Yj_~m^NpVNa0CFcTtzY!u;1_FXs_?f0~V%maF
zAI;0LPppm_qtJ#sZG@^0KF8B64^Qdi_ny9V>jD!*#faDMvC#nA)cKN{72T1(<t`uo
zm?AU7=xUggCQdmFU)`)kL&OmFPdJ-ld2{!_F>5Udn!2Q3G@_yF>-P$Q3UjE*P-q8N
z`1!kGNBk9O8rmh-MRe*}!d#KUYtx|(o7qZ6_s5m~(kI0GdcGB+TGz3*L{Pw7M$c+<
z)d$xl&tCyz1f1oPVl;nJknX~J>3|~@{=EHfJy!$k<ewTCD(PUGVwhv<d0l)}WJy$L
z1(vmUo}p88P!;{5=GF-c%1UO-jeY1i^??7&`hOJUZCm42V5)_Y-LbllKGX42*x1GR
zIt6KE&(F?Ot78*$?V5LbHsEyXH>_i);9I3jKn_I}^|HI)Er-}3I<A3ILTJOG!(jaT
ze@a-lJE((p&Ia?B!fH&`Yr%M<dt#lUJWlVBE;@bL263KSPj(q=;?>qz-7VXsAT#e+
zY?NSw!7!JtY|I)s<ntkF)rct894Iu>+-`$_k*s~5kJZq;*<StVm>}wQ9KQTo-UhB|
z<lbw$RKfY`+nwodZkWe}(ax>tmrAGH=2%t+lbhC8#|}2wu6ffn5Ko6*^p-EyH<Td5
zo-Cl0^^Z6aJW=yUg^thpQhzz@6fxP%xS;AbL)bjh4cqbpNOt|AvTyMJ{~=2{BF{&O
zbFrzdTXzChtiosA{bf*Ss}=BI;{YKXqBNO2Kp;>~6Svu<AlcKzReY|CNZHGtv>-ts
z@s5xCv3KGaFWV34#TG)(NxV_O*&0*qHu`5OMG>E-&$c1BfjAIXyv6L86%H6|=au;+
z43^%K?<q<(#8&R<+5IcrF=zIA87U!zvfjwwP2(?#Ql^W^uG1E19sT9U&MN?;fSthy
z+FujZY%)5=W)>*bCEPeIc#%t7j~`liOX&DZx)TZJcxfQO8&|=Fb#~FB;~yId-ZP4k
zQ6J1;TYHw@F`fhIa+k_duYM-}2LJ&7{|uLRIF)Z0$8E>nBYV%|oa3BhkM}-CX^2Fr
zP^oN%P$<cYk|-oaMk$pNvMTRuhwN2EW=4LpW##A3=Xvhyxt{B}zW4q8eneBQ)-}oK
z0b60_#Kc`@u+184^OG1raBhZc(pPmsYu)Eo)(=L=_`ZqjP8mj${hIb3?bZRs)8bsH
zD+9c-4lbMS9z*=Kj4}}|9Z<qQ+<Kx$4>LXeY>43`g4sJ;V`<vJdFFjciwqrTOg2^3
z*UlhHDi!&KOxjSAoOtO-+&?5)>}1Tc`y4{>7Uf#=(}Jr_pS+7Swh@Ah#}fge1w^#_
zFwJ*@3XL;<)-6(7$n(BF4k5-RgsDER8|OfUf_Rpro+mbu6XDcP7wA?H{*W<=yj}{#
zmhXKb`E3Kam47?flxGcLPCjf(v!g)kS%xUxlnq4B-ZMFqyp9w`?6<7#BSVv${>hGe
z8_1(4Z~fRVZX!~QeH2wEGN_%m=BudMK&<!VeM_j@MojQQJf2gUK(J(_gs5&J(`<j&
zho$J?9xci#Hc%7H?+1lh)@>qFuZ<ryd((p>x2i`BP7_+CuU!{N+Coqxh}Z9AfO-ST
zR^JQ~Y>~=Mk0x&;6QR;1K`SOWbzDQ)PL~8U-mD*_#(&6`bGq{7NoH7mp4OlEh6sVn
zc{x;3I>;^^j((BB3P-yWwtMFZutpP;RQ^Q=<&-z}x>wmCpO;ks#fShM;WsVMw$a0h
zZj$lD6%G(?kw|NPpaB*!<Bj4y4DiHg<oSy%E|@VlZ*o||gJ{MB_MX3t@a57xU(q@b
zSPflj7IwtLwQnTE+K?HThGWL{O!z?1iC?9pLmdh)zGY0xVu7Ajx(DVt{D5{`r%BtW
zLleojXi5zSH*?I*&dUjcYr>P2^FP(#ObicWZ$BH%PCxG9t`>qm9utH1U^QTE%ef?7
z%mEF*>D=ohMS$Eah)pT()=TVLsx0RM)&}3ptloP-$s;2=bW{~wzS3I^&hdcw*=I>Q
z*TrFUPx{5;LRF}229I;<d~ma^y*aK_5<2yH{Wu<}g7=>Vfs4WX@a^FVja6<L@a2mo
zUrbenK_#<e#=iuhCeo_-r@bs(rEU-mi&dekp=Q(HM+okGf1Wc~E(c!@c04&cuL=js
zgl7}PL;$<+Ii*EY0WA9p&WavU1D}`lvAq+ba3#v6bR1QL=St(azyURgwc0c%b%}vt
z%vaA4XJrsj^=SB>qz)v3@2;$467Xflj;mc*6;?-G%Vi?)aDl#!Lr_Q>bO<{itG=nh
zuyew_fHxWtefuFJf3Xa_=KCWPos9>}qeUE|B1A|%cr<KwRu*E<?hiigMF5A!5{bz3
zB)A>=xs*te2bQdnZVh1)%!^+6-f&J6D${Lne31%3YuLUm_?rZ|KFhH-cgQeS6Sjm7
zD8j*95n61%CIrV@^b7u=z?*k>miKBYgLLthg}5CVTK1{zjkMDOuY4z`tG87kX-eZ#
z%r`O^{%0K`zoHFDPEY$>*Y3a8t;SOb6vz<Upz@dKLi@b4uPU25R5cv6>NrG!Q`gDC
z<q7(5NB$ntEQ5#Nn%aZrcnSy)#&_oj8^Tih_8L8(2K;#V?P69v874;fPK~%2gG(j*
z8-aEW;BdUsE4GIW*%t>6O2`Ayh5YGZw<EynTvhRaf+qCl)vlW`(SSa|FTy9402d9g
z!5>3Jun!~#%(l|NgY%2+b`k;PpVkZ?X4Zhv+4!A}5EBqOGQ6Q=K>!z8dBSp^D$FP9
z;s=>c;UiB#fM1~oG&_IPN(oc~-@N@eA$L<?ip=N^>BGZxP>lRH26^aOIcpg5%oKiI
zdiJN_vpSRpP3NiTOM|)2f+wZi6dslg(KUIi0m9ifr&A*eEs^Dq>|dEe8}DMV(4q<i
zzEreJXyJz!$3m9^ubG1I9PhazJ7wUKjpI_7X9u=4zUDtvQ<zxBQ+sk0f!z(;$ap~y
ztyO;$&wV$6h4FGkYEm9>TilzZlqKYSsP9?rOD5p+2<NY&DhF84i|-2I{YVH5#OZC)
zKxb!aTFXxc1f>ofF%)e@19`1ahuoxrZ>!lgq5G1cYisJg{caNN{`@>qhnWT}ES$6L
z7sTLe@|R@h-wP<G@PVeEF#xK$27zX-A`rQqn*Qg&D!ON^nVG^3;7hc468=~aM91QO
z)tIiMew01xWq1VEJmqhkXXb}h9#hvO@lEtb-j6XkGh^^9m{0CL$O8<lCj{zwx6m3!
zZ|@7|jNqsH$r<uGJ3KE<bay+kg$CG^SJvD%1VZv*+6x|5sQ-p9HJ9H)c?vjmh!qAv
zZ8Cbh_ckMhybZhTlC+816=`A@7W5%ZKw@>nnGUWVo&MX^yn&`oF2&<W`f&aA#IHfc
zO(a*b_i^CpI?7@BV&`>$9^mA@4m2ySA|-OInQOoQqAsHQ1xBlM;q1L74Z6|=WWQid
zTk6^xD$tto8w7RX@TbVP70JI5{pqEib>21f)JCeOi<b`Q%>CVQ%N<Ah`CrX7z$$87
zsx!Xcs0~d~yoIxDgUBJb^zCDJSI{%OL)YKnwSl+0S*M)XiFnM%4=ZdgqgK_*L%K;?
zz$7WsO_8iZ=1K*gTHIYmt#g*nIn!wY-Fa?N|1~W%akTt)oB1+2-1kds*@p_~GqZg4
z?n>04WnUz_(lR=4_;)`xL4mzs`=9!O78J32b-#tMj1qd4u4gz=z*>_l-FdAW-9AG6
zmUCuzf8TP0=KvXaf=#PlH}#|P#~#<Oe_Tcb!X1*?9LOM-di}7!<S@FI`iO?mR#2~3
zUyU4xHNo#iPGEDvC`x}zOoMS@1*LB^d2Z#V3ER^AD5LrWdZ%W*nC<H-`U?Mc<LeR$
z#<aO(dr~IRP5h3RQ`Z{mu;`sq8%~0X8^sdDf758h(R4V6TSudE#a2~>ND$Ize*c8W
zEb1DQ`R|9<1{%Zg{pC+PB6z&4y(lq0hxS)}B>rRALUl~q%N1e>a7R&K@=y6Z8uHDe
z+NWh3rI<~viB)NUwXH+UFWyD8hvK~9)V700%k!nx(rLh9HGB58;3c$}6t`u>LXSOl
zOg^fy4-av52{DRW%jg}^<80Ap44Cbf?kCUPdEQmknG%t@irQX8Vpg9qV(xb)Idi7e
zKz@yW-N^PY%3sJ&v{GZnuJE`RGn=VFo$|+yJjw>z#eXI2Ssx2#Pl`?J$yJ3qx70&N
z47Sjl6V%vq1vrfNcX^j5pDLWzxP|Uq`iHui&=l;-*s<16LKQlZD!@ROoa*99hqcR~
z-kD3B7_mnpuWm;f3dCpcB~{R4`cDF;nq7FX#*f#&)<h~paiN5gp9&*3MNhJG;^4#l
z2OAu5g31sl%$+Pz#)Qov3AQI9`LR~E!#k;Om0)UlU1!>h1$!107$hSrh%t3++ZWj>
zf%|}GgzEtu*3+gglQ}MgWlL=B>0?&{v#KlVXKmTBYxH^3KRQG(*Kg^;9c_w$@2hR>
zi|52ft8Ey@fA7K6&9)9U<tjp^K!oJZHa8}sa5J@7O9DH+|3i$;eMNZ56YjXDix=Da
z6dNE@D20)|T}b}Pia^mL^(~t7V_r|VGuq$FVCroKtJOt{fZ7?0)qNMh_NGj}<x!Hu
zg#A0Gy%rRK;9{OtnjnPTce?fIXo);l-ey{||ELn2%(uP&#Y+Tp+f25Ka#qBSUsAC7
zHKYW7h&)IBr9D`pDI!{=s*K6YpW28`Q-+Qk2g+ZhiDTDiCOy8esbVj<);LIaRp1<a
z<*}WU#I6kaGHdUsVa@#8Ek2d10H01ACu_-I$t6CI<C!$DPp)HWN3_*JY%o#!RkSQ7
zq0$*6&QHYLU0TmBZQ;RBDefiHj2zZZ=dMy7Pr_pOtMY}!h;ZMhZn@M!0qZx=&5w)I
z#1x*g#F3jw5YrlZh;={_qx}&qRtY9!e>3)d*r!W|OM|YD+D|KEK^cLT36>Ph{_A=i
z&o>G*k1%PRA6LQhJ3qZSvq{0Oy4vG~UuuD5<z;o>Giq2u?4v&iuTU|m!#V5>&vf9q
za$5&~lRB32_Py|UF%{Fg!5p?-qX+*LoRj7d*1*Kh{HiH^NyQ{AzUG|TG5|tjLK{_=
zfcZaDk9oJBiaj!C+?Qiy3^Wf-9+CnP1KH|x;rA&RHK^|2eSLs~Pmi>kv=Xrn-GBzV
z2r`DH=KT`eM}x{>M;*K{2@93Jku)WviOqPcaIff@K(g5mN0>MX^LA?S{QHN1G3#|W
zq_dd<sf{C%Hbca+)toghk=3!ntP0WFZ%rW}Wr|mBFA=*L@+<5dSsCN?>b$xwZw8kS
zo^`1_Ou%Mibhbvs<uN+e@mqdwW?<hV_+g1d1KY7EW4TP0!fLPjk0e|-1DDjdlDRSJ
z*fK)5XEj|IyDJjZRN!g`_^<V*^&P6%u`L_i%6T44ByK8%U&9R2sV1w&E6P|qSNzOt
zRYvU1LGRYJZd1rv>{nl;Q^HWm^Y2(37Es44v29;nOkveJA##*n0i$F3cvYGjfXwx|
z=!Q<406A{qPb#AvhH;2EDIT9i<c8W!IL?^>IGiOl^2lIvV(x<`)OEzsKvD6?HyVii
zGU#(~kiaU-J*@{C=%C3&ZiLB_24?b7uF8#~*qWV!-$*ATC~st){#vu^*A9zAE8arb
z+Qr1$YjeyXnoEgwGX`iG{%7*qiXT&5Fi4F!zzP>lsfJA<2wZ+}w_a$38w)mN>#gO(
z0md+td^gG%IClp7{Il4wLkm&tPVP9U?EaVLl4b-N845yI2AMEsp7y2!9~}Jskg*|O
zVF<l<^ZMT1qr*6Ewv#JpxZOPEVzYnT0EX?dJXg-HqhgZYdQTTv;o3r^F-6n>df5{7
zmHie`oQlEk!-=fGlD42iveSo?EETe**QQW`hU1G$1Xd_;opwq{(}NfLYeKnO`%z}8
zRnB{zEU-);RQhgG7sBjLr!D^bh&J*LyoicsfvW<P;tc~`Sk0{bc-g-WF&Z#)61Qdn
z-aM@*^C>#;=B`iZ*Ju667cU#5K?)1hM(lep|5qF4-zdcwgpDKo{U6#1S}YLIIcuqV
zS{wAN+|1vx{6_rai|-^KV*xkE;~`_sT995Uc=<-yJko|Ywpn|`0&~61j?+e3;4din
zncsW~ao`UhZJ}cYp?cvW@efq+Sbc13Gq{3$=&r=9<5*!@^kB5TCKcQbwe{j`|02I%
zW{N*F!a<5hje2Y$1v<-eOo<;h5XOC%{uBza0b{;+e3mW+rk}Rm9l>oQvnMjI*9)=3
zdy9eAr!{0aGjh%@)qV#F3!eHXh;Tr*TZn$#Q8HX#4=399(t+m%0Slf7oKR$OGCpXR
zbFYrOazwB&z_GT7{~QFk!K8KXy{K?aXyR^mj|N7FoJ}+zt>S^(T*C9;Wi=uE(5usn
zx0qmlQ3yTT&I{rtSWJFB35FloU(*?8hJ?aM7xH&LxY`)=)7+N?&#Y~0-yLFw8h6>o
zqAh-y&N<1lE=z(t&1TNI?Kn_=wT81X6oi>5-}KXkL?{!l>vFur4$(9DsrMcU0aeEP
zbvuCwV+PuX1o513&`qysTSx>Byc%frtsp?rN%J*kc5aAfEgR7+5{3AppB}l#2=G8F
z;<z>oFC1Hv{8{QJ24}n;yy9Ud0Mnedm9aP<v?_k2-?5W`VBvxB2MrqFuIZ8V)|?+s
zJ<L}#agu`BbX{4OObvJ?asD~?EddbV4!T3#D+7({n^s)+HQ-cKF?0+If}uyrw2zN0
zNZk0B=<!qo_S1#lv#=EgR^>;x%JSuaZ)ft^=VlG)I|lA4qaslM@Dl&EZFyK5(<9`H
z5di-tnmsjc52X5<F{e5yLY<Y4rcA;vxA=NJ{%Ru*iqXfz@oh?AA?kH4h(v_r%;YUC
zElH4aYvl1cqyn!aonA@NksxS2Ifg=!20{iyMrfxh%suUYz_y#OzD*nqeEnPozID~!
zQg%=W?fajc_R462Vcp@$N1tV(_4(<Q%27OA(c;&c|Dg#Y>W<7QKjk36P@A~!NC5j|
zqvrMHWSEJQuajg`fD?8{TEEp0L6Q8)bD@+1CoIRv<JyYAY5y_QF_HxS56(<h_EDkb
z=)u{_^Gd*;6Jp%JqY0f4)dh}<YJ=LZIzswgWf)mIza(>A6He4!_C9$<2l!bEj@*5%
z0x5qiZS?APITn%6tDe_|kKLbgdrDQ|OsPT~aYPfkM)AL5LiOQC_UeYhYc&WL|L*}?
z^X@$^0jJ)G8p45~4*J3C>QMB0uKZM}Cd@`!THAgw0uH15g#jvf_`4Wf``=#@XuW6O
zr0ho^NOR0$IR_7QTAj|O1|&Fh?-{Sic>wm{pZ%UQc!+G%=<iD;fSEz;wy*#VG=2Ab
z1+C%Xl6bu)(-Ax{*(nuszo7xik<0$|7d$XH(Aj0ytHOl^+=_>q37qR@AFOr6!_<v`
zmkimIL4=0KE!{SO_k4pxon`8<T`tugp{W2LFWfh0{%Qhh@ujU?Lu$~)emz^oUKT8`
zx(Ph{&jf5{J+k9=xtrdcN$-cUB(RH+ypJxJfPC-A)~-wyNDY;@AkB*abIw2R_FYb-
zyIWIbbyyiv;=<(nl>{JSLpI>uD-#g$3yW(WSA@u%oH9F<3#cvJ#p|vnFcf_B+M<^N
z_)*p5WDl@_diwM2W+4+`-D_}Ua!w9TRY%Wljqe}@HiM&FWi<His@k#YD+^y^Hk1#X
zUO~KCYI=-pXz;k!@^i~yX_(09e2#sZMjlO+WZ6yvoQ^TSfGSBsj-5v`t@az@lGJ?U
zQxL$2`VFU^05N!GUlbXz@gDKf7rJc60r11Qxr|{}1WZZdsRu)9(S1Gehur`H=gDm6
z!*_)sRTZb4WZjLLy`S=Y;A{+w;SH<&4gw&i^6BWx?S8bKwNv+Dyb<Joak4T!!3R%U
z{0INM97GrR@?K4%hG6kpx6gr%2fp+8UyimKLM?u1s;#aXfFqkCM`#5H<Tzx=NplXO
z?^>(*<|zhn{j~IX_i7xBR(I*U*!82$<ilm%f%+iadXVk41Pde|sq107+lwC57r;lO
zdJtfFe3Mwq2$s0ak$U=0)Yj~TYY&$mTr-Llzf(jH6i>R`p0P&s&A!dS+h=t_c}7U>
zMAHuP-CO!Zkya&2C)TUuRiOjIIhp6gUTh(vD4!Tl#8b4oC2Ro^-R+k&#fXf>b%bi8
zTrQoNj~uoYz19}24Tl4VT=TQnkS<(q^uy+AWNz8nc4|Zm5~B8hFUns*zFdq<AS<>a
zJxz{Y4whQLZ4>JHoqZYc+tVHH`Jo$Gwy#xX_)LYSz4S|*g^P&KPgjK!%YG!RC0?bN
zM1`t|kX5!P3kcQ1usV3?C$dC1Gh+Rc0(WvnPT5z_Bf0u(pX*CT5tphOiwb!Ph#Iro
zSxC<#HVbNtH*QWKukUL3_hgeHrv3v{->E-Hd}!{&W42RBTY<@;+lpj(TauP6+C7I1
z7_)~jP=6yL<kQwQuQfsQ=Y>ZWnR5t<DbP7lbq=v~kn#4`(uC;ot^b}?%pq9+p^58H
z=8=5LtzTEFNzh;;@+e#C4-$~Kc|}KS5h?Jlw(GVb!BAPN!@!q6NRiR#`PR`TB<q8D
zz<*zfFw#r&3q3WDjHJ2YkL9f(aZ!vWuQv!Fp>DbQV`&~SFJa@9xx0oasg!@{CJ^AW
z#E&kg`~}2b=Z+J0e;xU!wI|EjT?2R`ed?@Z7LjC0zb``QCbDRJtJC%s9xi7MH2Fm>
zArc4Qj~o&Chjh2SkStnI2c59ZyDQI^5%TQf?VHwg@S!O>D;`mY;~_(gLBCg!vW>Nm
zJn!itBRu>#W0D#SX|wOn+BKw`(kUB5Vubd(Cu@3tRH2vQl{;bXFT%7j_|vJA31$x_
z(mal+!nL%HkL?8;$OE?@36^OraMxYt^I(O_ZcbzMJCU=67=9|*wvWRBZ;>PGlDZ0T
z=CWOV(fAL!^=5Q`?;CaqYz?lLeXa~&w)l>6B+-F`_e=FlbX?$U>v(oYNf|7NX)@I#
z^iUsiHCrK$2bh<opO_UY!MtS1+dOMV&{irhd7;J!`*L`VyZ0%<<_W~AY>WwR8K-5p
z7VyLE6#c2{DMhIKfZD5NumG)?Ru_3n5VGS{%+93j`e6W@d3Xd4SkLEupVSbBYPX4Z
zG#f>rh24|A^^hH|B|XhhQx}Dr2GhvHQi|}xB{&L(IH4h$UMcdJ7<>qmXK3A0024P?
z&OfJkfbo=IzDSV-unykt4V+hiO#f`AFm^sLWaqB#G?j*ee&Xtl-Fgm;(`7rFAKVo_
zggs@Jg^wOz_Z2EAf^67uNui=3)NT-^vZLg{g5`m7u(u*e3ujxmO$osl%lHaUIR(I{
zm1?dHD1w1yL!)h{2n@wLU2WW5pKj`!W(`z=H^&$Zm&f)%fPUt}qXK16cr0IHX`&2c
z4+42cq$Gej>`?ag3{{v;oG?(ZP=SJ!vk?y?q#!H5qw8vxI!J4s3yZp^3Qp1YtD0hD
z;Esq2Yi!Z3{;;o?I%U)$F{R`|_?Rq=J$y!_?CQJA(S9<3Ndx?6SjO?z@&J$MgW2av
zpfVL-cHD#riS2~z3(X4Pw3YYWY+e)SKTpWt***7@c%b*zMhP@zIi^1kk|C{h=tr0z
z84@0un$-*`L*!c2fvS886x~R%yr@ita?%UiSvOS(J$Qgo&vrNO3N<_Gb7_OZw7xZY
zN)3qf1Bp;eg$aA+`gAE>pys_yW3a))VMLXVXMqa$2QMba+vvlq|4L<o(lnqsD5_Db
zjS6(@zt~qE8v@Pu?Tuf>1h8iM?I&@J3WFYxlKQ5N;qQr=rw@{d;4`nq8GVxiGou|3
z`H}z<sC-KU!X$V?d~VxoLxzSjT|#^&4TM4@-OP6V-i=tnQ`13$OBxZOZ||AF!rgoC
zq^KkiwM_{-DN2Apbj@TAdsDENUs(FSLxicbv#h*oYQV_ToshC<3L|$a=`)OpFtEZQ
z{)0&gIv0YtPM<P^{^ME?w^Rvm!KgwYv{x4HF$C)mCYnKtWNVmoGahdFb4jk=7YEXj
z6c;Sj41UC#RB;g0fy^M#aDzb*u3y=9wG1$W<%@z&@n=*)Myo$+$B7-@zB6qNCYV8t
z5C2a|UuD?3`L(-YVhc$<Uq86rYzp5VbKUIQ)uTdhlNZ5d1o7&OvGunz1sth1sqmaU
zMCSK|WTgK@`JSC&ukSE{JU79r702E8xgLD)uegF%O&T}X?=^wgnHb^zW+}MntDSV?
z%npist4ZZAr@>qAkj8vwaq!h=KN=s#h@D-&U?qU3L19Hn^YUd8F!ZSr{He!+jdB_0
zC}#tBjvV+_ASnnV61)yxyf|z{%Kdbk1i*>M=WKgf_@KCCsh*k2hMBN?QZPLP7P9iJ
zUY+HHmOHjbx?0&V#Lf@rYHkdo@md;&+N==gIv+mI#Exyq9>`30FoJNKIw8GV4A3oJ
zKu%g_!<uHR!x(QE!l4quzVIhoh`sVf>g^IXtPxM2zxmn#g1QN{qbw^3qr+Z8j}sfl
z4##|3Mt6ODkCD%pE3?SSWFo)gHV)g*=Wx72P9Hu~IfvgL8AcMq!lE8!;4pFSrxP5W
zdf?1gyCc|Jhp^vu;3FQwVZ{y1f#M%^fvNk&<{`E!)c0=MY%muNJE!_@+m2rseBQk4
zO<MkrMofLz=bU22RMRS`Mm{?5%$(Pg)H9BD)l?nl7-q$sRqN$kyS3rTE75~vOTSU+
zKlLvX{<30E$4vUJ8EZqD@bR4c`U~iV>p69^6dcBou2rr3Rtu6p%WgO5FQW&%{w<F^
zz+ocabXYFPYk_?KzU)@kH59iw_iAVl8+L_fYUz7A6<EUk|NhKhM-!V=I(Qq{u#~RH
z&DSKUuy}I&gQ@Nos^9;R`sfKe_9Zc^%Q%|?Eg=;S7vBFvHH{2Urak7scy{u?NZ=_@
zc&L6RAdwCeTw=p4>o_r@hhCo4M>13qd3UCo=&>JR?hgFo+}PyA;r`=RWVrllUpm6Z
zh$S~>ZU<)YU}nk%Ig`5_ddw*;_mVXe_WPFN^~{&NSkL8f`i)zfaNm*M+wd7PCiS0a
zMQIuzmc$a+^aZa8?V<5F8jcm~TakL2p39F7-4|0!?<4K{W^u&&4IH-bX@6F1ivY%V
z;pU}|7!qv73}-cQvttUYWpPcsLYP#80I3T|uvzH$kF|^gs~r+a!hD4>;={e46?b{6
zk~df9ZzvZgJ$0eIdqD)V>fhJd7*B-CXxqkK7ar^mqkNM0{XJOb)Bj`>cKI~zrSk*#
za$YR>h5o{jtvJTsC;I8Y2mywM<IPyQ_^><K`1E7?l2|Vb&2;7^0ZtDKPt?*2U{HFS
zR&6ScmEAKpeRYcfC5&X6@IFE8fbs3*zA_n%&b>`TB#Z#@{{<md&x9}?f~6GSs4P}=
z`3-|WG658>QcRzSiD17)!|qTd<*`c2x#xY21o$5S0RR6Cmv=PPZyd+%z4u<%yqD_^
zd)<#~RispADn%uJN-Cic5urhaB9fV`%4+a^BD0LFXemOHy=OoFzW;g7dCupY*Xxx$
zxS2asD1qVybK8ARDWlekfY?PvZTL8VubOp~LgXRcYU>6Sbi&(s$}USAP-gs_uhKGT
zuRDz0A*vy>CiljFDkLb`Yo2^^Ll&w2xY$T~td5xHSC<KQNU)e;Hj}m_kLGFCCx1xe
zk;FiFyMq)NhEINa?!=;qW>Q?-<&p^~*R{tttcDEP^s)XCaV2!buFPwNQwvR;o=CqE
zMuE)uj;K{C4$W;$JYP6XL^5}#vR@vig2;i3OoNWfXup$3A@6H#q!W~pIDA+KMrVwe
z<wI1^`>~6iC(e?P;(Nw{_Ap&=^W${$Pgh0X*jndX|B}!ru_XcN8a?1xJp~n2YUpma
z;XU4+WaM_d{l%=90oV)OzQNw8j#}}4DL2E(=yUcx^dZI&f-e|J_9G3HIl-i<8AnD^
z`Ri4VoW>A1ryii3g-1<iKM8kvlF^sj@{vAwOrWQFV5I&C0c}cYX$x_Z(dh0!qysW$
z@WMLoUdti@1qBLbJ`W<H-rpt1_3qO^RIJ-!(OnZMue=|ncxxjv7Lel>4)Eew+h6tD
znn+lXWVR8eg`QkmavM@GhmHH63VPx-QK;kGo(u~DGREwAEQ`$HizokSJ9|yEnLNmM
zqgfrTx)_8c%F+SXe^_tz69E}YjmY@nR8d%cYr19t9qRf8@(&XTXfT8?bdN6%#Sfhs
zm@A-z?NlMm+u>2hc{iT!N(Gd6<<3siIy%U5Mf!KrHBcV+9N&nJ4B`o%a<0bc@M7!d
z6)O>Sbj+ux-rrsv{TY8{DU(A7k6i)z2U}DTqr=hC*=`}!o7o!Ov;A&`^je#%j|#fW
zeon}(h!_3$Hl-{_n-1y>k&y@f;ZVrMTMt%Vv7yqie>msw<}j>zvZU*l5|Xp}PkOMI
z0afZ&?+%SLhp9J@JmZxVQA1;_jnUXL_O~>q#8TcIQchiP4hfM*mp#ubbg|4}Z05wS
zBUJ!Dn=jWGw8)^K>WUrri-xgON!6i$b^w#(^_c|*Qs{84mcaMS9&EHHxum?F1_w5-
zPiVG_BlXO)@0xAjU~-q9CjK{N2Ghy$CC6`wqM+&YiGZ(<Xpa2?%<Ix-(0!R~=Nlx9
z%;N_pO^a)3teFuD>AOwA>k2~>?`=WUY}4O2nfQ)Y6St5n6=ec<nnu6j3i#3WvlBeu
z#2aWlyIlQ8Fk`SC@!#>~8V{n{cK6Lqyru1!dk{rpGzMQ;3;Bg=PGmBF{n>m+6-`&k
zD3N7{5gbv@b+j~MM;<NNpH8hjq;W{KVD@(nLGVzUgb*7mGW&kh!eT8Sll{Bn<-~{q
z9P#sX-!IOLJcRZ#?i)ndyM4w1r6vY2$E?ft)0+{=#QY;0Cw#!>%@YHCQuRUoV=mcj
z;vbfzA+i;EtOxVdQgfbM(Sz(_j%RvjH!(?BUI${yXRILkO)b}9Jx~<<-eBXlj*;b!
zX_hyBU@K|oQ&XFC;b71g{gQ{Pn6ICtaZSfC<`Rxl{dINW1Y@M9J9P!?eqbV`DLaPc
z3OalF=j*`VqH9mtM3yn`j&-Rsfq$@SozC!JSsi$jpJ=XOxP+y(m$#F?PhuyR4yv3@
zp@RFm`2@$qMeN(;de6?H87w5pK?FppkR-lSxy)!0`x{gI_u_>)Y=qzAWLGi;!Us3e
zIPW6%guC0YbN2%F_427;aTy9oJiWAKD7=VGJ?|2lHdw+A?ce&wm`et3Bi-6Qn?=lr
z7FX6~w1OpuJ@AhqlfgFsd}QX6MND(ge)VqWHB4UX^X06!B#0GR%MjIH!tgd>5gB(k
zuy?_!jJq94aN@Jr!hz`}OiM^i*I;Q2OFwF)BsQQ8iyC18yj{zflw-}CO~im2_X<3&
z<I{$ithb4wgDaTnv-w{ga!e?>V#uh%mI#xFXkC61YnbSCVPa+qGg`_%l+S-#3u<Hb
z9ncC}$85e9zbqlLqPgz8yNq8op^Tp;;+D`R_9Eh?OVAh_x^y#StyNnSaQlzG`15HC
ztKkriDR1CFKOgr_)W#EFmkH}oyf*_1j%BfSZ{tF-5IJu>g9neia^;s-7|{}y@qQ5#
zFFNs}TWIVM9x^9x=KWX6gtV_Kol^JVM+3z2OY~k1aG@p&^mDVI$E2&)b}WMEm3p$G
zqO%74`1j=OnX9bGjr+^3sIx-IkJr~M@RvHUCDD1u<=Ii&+ppJ;{u4&Kc4EIzhN%Om
ziMON4FAn6qGjZ>uGEt;A9n$Npst&(RBa$+^xzKuU({bKdafE03=Q8<C4LJGd?_Hhc
zK?dJ?hXP|IQLVj6i9)^_IKIlrPcY|4WsAe*spZn><F|=(Hc@JzS54}!9~MCSchiWB
z{Br24g{G!bkQ$u5lEhJLA%xzHhEFfrDWE7-sRMta)u8nH>9PxT!f3<!yISm1Mbz@T
z%f;iF8u0xw7-l*qiexVmR?2WV)IZl`+P|d+)Tg7&V#?ykYc*E)NQE-u3|`f=IHwLr
z)OZ$1T#{%o{mqy9BdSPaUG@-FL<53%_G<))N~4k0uN%UO>Zt1Ro9ezX4anN<WOLG5
z7715A^`I?jAg8v9h~Wi1uso{Z=uMYL3xgG#>7NNmF(Po(pRNg~sPE@raw{UCkoA(=
zO<Kt39G_G9CoKs6s5ai|s)Y7Pv2~Klwb3&XLRH#pZMc<tBQ&}ahZY_-{dcLAgotI=
z;^fvy@bRynWWJmVGO1yI*HBDGY8|7l+!hoFbqKcXx}l2d8qfM2yF@_(zXe8by`;iE
z*K=#OTWW}@)-f<hgNmpn3?&2Zy6~cwG3c+i2FjTdShg&tA_?R$Q=y>`89hH}xCT5r
zG)7aYSf`?YuTH<=mNJAxvth+@oSJAxD=E~HO9xdYupSOmHU=^Mc~%9y7LwCF-Xz*d
zMY4+*zPp;3f_eIM0fQ_NeV)CQO|YRNOGg%?KMpiFo_{QCq>qT$eNR)8{3xi}>xSNw
zCjhyQuI0k^+9*o>*h^DuGTM)Ni)WI}p)4@^a7TzX8rA7Zu79qLvMYPzex9TQtC?$s
zvWqrKO#JJt<*kW&SqpxTidew$G|jIezlf+%jtfg@S4YylKGE^17Lc%~(y&*Nhz{&3
zd&bM7f;gDYSu@O70Qc9~g$hwEB+4kf<!qyf<ZfyPTS{9(Y^7vTZZiS-sI-53VIz$)
zvRt1}$XG(vUi$2LD?G|n(BpU+DuVoFDqHTXS^(R{g+ZrOb!4&AzCx^u2OZweGOSr;
z0WXgCd|GN#MNS^UFV8J8qVj3B$A<0}(Ei|LO5WV|{c*1C<b61c4ZLmJr#4Lo4r9qZ
z)q*(mV>i^F%d5xQG8gxKyg&y*;I!h^RYaF0Omz~1hH3ewQ(3x;=I|fmlv!De9BTQU
z-Z4*`r!CjB@j0C}hwQKWhQ;<sqr>)RtWy2fXv6(MNyd`^_ibCIx|t;qWnuT!$fJKW
zU(1dzeqR9T^mDy#QzA&YVJs{2J|n~`&6i*8r$OsgPNVZeLP(-kiRtBQCJ<|X-+pk|
z42CS?jSdg<AytN;q>_Wo;FrbP9=&V|;uN2yEO9QBSQTk~<vug`y1a?A5;X-?YvWs&
zYFW|0U+-AVZ!-fg>!-CK6BA(FU-mJ-ixEXV$nW)XVg_dsJ0|p>F-#gRU;Oi61B-p$
zEn~371lcw5NAKqv!RMQy!twS?*lqo37Vl&x$dMg?5jbiHiFRob6QwiQqCB-H0nY@#
zni4`=h=x#%yEa(kK87{2rYIEGGeXyw8ZquL0|+DG6R0C!F|nauT!l9yJlDRth`RMb
zy!-8SH<ngxuXVKE4>?9?og+qvY3oBl=;pEP{v;aZ!#je=9|l-9kvTJRTMz2;Iy$6V
z-qQv`Rm`;87(g&%Yb|G47yQ$o7Sy{A&~S>qZ+5mafGGF-<si@P{S8l#)Q_Ju&*$W?
ze}@=g(cpB5dXElV$0}OmvPWtEJP(P21S43`eIG~d)By|X<jHBC3EIJ^r~X7=Mqrh;
zh&WkKg^h!6uh@{LY42qpu0?%igxs(DbY7TKL05k6*7~hkT1VQo2yQ<nxL0+-z~LPQ
z293n`1_jR3Foze(sj|%AxYD>vwxz)J)lFCb{fo4Uxrsu>X=Yg9bjh^qBg3Plm~UFd
zWm*g8jg6)u79hGc31%MO-m%1#Xx>#?DNTHGXq9!FLmkG%RT5Nsuq#Y1uhFdS2)Z14
z>|l+rjbckALG{%4klXVcv<71H9-;dj@GxyX+C+;48ERI=C)obcy2fjrRaCejjdFYA
zOPV&&DMojc(imW&sO{YIuiP*ulh1o?ln7=IoW_IRF@k4faa(X5FFgN-$qyP4;ZvUT
zCrKt|SZ#8dj2qww<N7UUpZi+il5nwi#)$<|j~d*|5)uTq7rVV$nY5s#=yAt#11n_2
zQ@`dM5Q2SeqT!7fH6i(9>1C6B?9kWgZ~v}b7?N#sE%&YxU<~K)@@tC&0>`2|1$0H>
z*3(FzxL5+1Ex67SJGek{fuE`LlNcCn3VL;_65v_1l0sl34_G7i()Sq>u;+ZvQf)6D
z0;?-C2*3GYnJV`^K0yk69v>_<O~J#b6{fuLGyz!aJhx-{u?(b7KN7j_hllPjjt?(?
z6$Di&r`9jSau5@?U}Jg^4<l@BhKc&Zz<A)Gz<~k<7*ji#;^B!0gVVLwzLbbS-Ha}m
z+@d0g)bvyQuH#{Y<G%2mg%}j=s^)QW!2uU-rpM(Y9%igsej2Wb!^-@E>7|d#ARBnN
zAeBadW%m<aA3jLJ6H8IM14mThbyzB&`~U%*!e_5K)k(u##F5&U|J2~v>Ph9j*_z-%
z(rKCQmxZe1LcuPj8j#z_%rTy=1-1b_@eAw<Kq^x*KYfY-)nRu8dw&o?sZ%bbg`x;|
z*ZUcw)U-g-<?{OgMnJj0MQsw?l;=?m^Hl=Aw-q$apG0s}pnL5QCPR77Z^6D&9K_2X
z?-{cq0f$y<@`G(Z9F^s?FWyjw5<bzQUA$zd`u+2-%Wf)Mth$No->nLDkGk+C7#WUo
zyjH8r)q%A;#|OAF)L^E5VcmW|1z2**^h1>OfN-znZ^x)Q_*mg2uOJGTrglcjH0lF$
zkTw5Z1w8EeJsbLFlLGob?C*SwG6bXZ(Iy>q0yK#`WT!AuL5J_CvxAE<d@fwi-)pG}
z7iXns)tf2sJ=<CDw5}<LurlS8N^3zy%S7(#P6`<6rq~Yg(cnx`!1y;z3l`E28veLO
zhN)KV$YCD<8z-i~PIV&8#0$D*M37*_EJ@zk)Evg!7Pz(c5<yl+%a9aF1pnkc<`<XE
zA%n2wFhVARYN@4>;3EPI8#Pz`OWN+lE4HumKWIU5^fceGAayWM-SNYb+XAu-awmk8
zwBUKlqL?9G1xyUST$(v#0qmv2SeBk92q;O^x%Mi8yUEk)OK}!pd?wFfpCAD)$XC?8
zCdvXmjuc#xWC4>9JR|yA1Kw-NXg3Rq!zsZ4Q{E5@@FB`bE10Q6eRJ3c#ZW;IW=YnU
zv$BAeS4ZetxvHQs*&;H*%LzksUliq5=^*?~_|c~|W%%&?L(Su01}MM9?Cp|9ho>$D
zW?VaQp!{m;-oA)A+H|;IR0D|)VpH4&4^kC@_+rwqvfwi<!Sa=JLyb9fGba*6hveb%
z4JE!+QX}^1R95i1l{pZKmk)j^lYvU+sofWqe_`ZY;b5B&0O{&Mas7FcP~Kq9WXL{^
z{n0r#*trkjUUZ~HWvdw6wR`1y*=rsP`6T?_w2}s{Qi-FOf(USGk9#~_U&PW0OFljy
zwtJJYJ;C^?AY40eI(q*4GG?Q7e){ORDfCENTVLzt1B)R7|LYwqm=gV2WFxOBm`sU<
z8P;$?twc=I%~LBF9T)el-OvPnd`|cv!o?0(8mc9Ch^=6<FRYk+{ER_9x9^-n6*EKz
z3|ibdyNq#3zCGhsU<Aj6OXNIi8DK?0=D#N?OPFHblZl;w3?clrbF>d-gH~QH&!~{O
zh_w$tG5<s{1pG|#VfTn-TH^7U%P;RQU}3)>?#qlY0QMK|bukC$X-zTtp@e($n1Rnw
z0liNjC|PMGxD(Sfhc&D0?zA~<7v_@WP0|O_AepSa_?y<Hy<+83F^e^^IL4t{dT`)I
z)c)7IhG}0bMNjCA&0r-T#S)knbU`P7S-R%oR~lauSE{z|4AvW&`etg|Kb?*o<i`5C
zX-OaZhpt&nWASO?FYQ`&ps+?tnMb>smTlx({=<C=6DHwn{}}5)-;*M>y?@GSKcDEv
zuvbrFU0R;a>CdR(!g!V}W0Qc*>X}^0cAUhx`Zel|2~?o>=5N|ve2M*a9V>6roy39y
ztXpylD8R*&U~{^l5tF`6X*PA4#P*jJ->%l6fE~Vf@IXxmb|gplM%|l9Y+B~Tpj!zU
znmb%}Gm7+J9}nsJ>3L3JnQiuj06j94;U^CL;^@cP)v)Dy+iC1%%kAA`+r7DYQJ_t%
z^9%OsQL{_9@eD?kH?hy%OM*O;?3Gs`gP7*b{Nm=^40g)u!gWf6Hu#%#`R+>ii8V3J
z-=((AVyPDnC3{U1!Sw=LhqC)HR(ve4Was-i?D?-Ywt9IYlyO;++o>a1*sKzJ!_+*M
z-00(~<D><|CgUI7l4IDGdg7A=!$nLd%jsTrk|umf(YK2e8OKaJ$DYg-FJaO@hhH)D
z62MWwSzHZ2fw5)MR?6&Gu-~NfZsxKCV5t(>9PpUL8Z~tzSmf8RlnDW+qrP|;J`?)(
zSM4;`_3U-iBc%;Yxq_j`6Vrg(mdl#1Dzlh!iIP~|p)E|yG|K0Iqy}WzxuC%4IqcU+
zDE@&D1DZI+dTU3pIz0Bw^|xhSz{)-^(}_)t=(z0}$D@O4ph5AAyzzJuW0H+Kk!8b-
za__6(YO_^?xf^}FIwzMgV^rv8Kh1*feBS5&p;i?_m=gvf99OZ|!b^I8-?AaAd)KVW
z3{-(+7px%=u#Q#vM^`1)bD$_$+m)f0D&Xwadv@UMCKj5|5`(R9Az#ylcjI&waA|lr
zs;I(%82^|Dx}M-gaqDzO-yUTcdK(gUFP0ItO8zw+;1EFgXG0ft&L{&Wlh$^gj~U5H
zjHFsz5kzNJNP-q3%1|BD5Jq~%g3k5_?GBX@MqFp+f4zT)gAZ>rV#05+AuZ!{r^X*5
z=%nKH5$i}C9NI0O<dMXI7CJA~M|Fy!d(So<F4^Ot@sWj&WD^&n+r-=HPfH;Gm!U#8
z2{^F4|B07E;YH#bmAIoIje4~e_=IF|@bH9i>gj%d#P_?P@xLZn<nhnMOA3dBB|Yzi
zBS!?$K$A}FTMGsB=Gn5Iy(JE&2lx(&E(#$5Yg)>aw~8o)#_zOw6$hmX;@O`{MbI0v
z{X5UYI7BeJ6t6RegPYf8UvnmjAs-Hh`wmhn=y~|9@Q!oJ;InEd-}6ucu~Tx37#CHM
zr;m(4G)V<Mym;WV)+2?6j2U<S_^XbbinhYXl~qBxML$2sKo*^k3aabd!XvjwZ}>f2
z)j)bhvs|)89%;{&3=F7fAro~?|M@<3z|Y;vDW@x<J;&dM__%4K=bNt%aOLBng7w#f
z$O<Kty3p#y(LzE>dEPH4x-_9`NVzZ9NEw+#^zr)-l99vhUpO{TZ4lZ6<5$~N5Q~CY
z(Ty<*s@o)YFB8ddvf$m}RbMsqn$_>%jXo;U7Rzb4F-(E0Gx1qUJQ|3eU)0l{se|^v
zq{tPt>p(zC2diNo9*JmSUI%q`5mnUuN!VXKnDkD^lC(9^5rV?fn^;|xd}*!QN!JkG
zO<An>rfH$dy`wH>3A$*_AZGt^x-n3hLR|d55mD59;n+1DU3B(}wB8LNGk8odQL-A<
zM$}yqd0rtpD0)#4O9KG8VHV*N2T17A!(io$?o{;hdCp{!w>bz|e^*XSAR#a8SFH07
zG8#x<c<r>^iLxP2xztifXx;X|jc-CE)ZgCs`s6_i5PI$rkbRbfI(f>9?(u1&J+ifZ
ze+4a}cHv}8r!)yg$CqQT3f0iXkqRl(JC-09Mf7>Ct&N)9RQ9=P;Sg_jpXl{(mLSTQ
zdDW#y3vrzsG&a8_i@Gk`dv(rPLaD=vx+bzFs&i<*cHKr4ZP<>T-qCLf=QSGGE1mGj
za?n?y`x-YYx+?JH=sim~lD$kA*{6;o>NB0%iZ?J1Vkau3Si*dQ6>UXV6|JlcOvuR&
zV0K1WSW~qHNV+oc1@kE*Ia1nZrhUI@FMO}CJ<;CwkksN0^>Ia%u2Cu9`+be(cT}vM
zKZ6drg^PDhv*b|~e}jw9cJEl6(r9twq{9?>jAH*l8b!EF{|Rzo2hdFs54>OwaiYJS
zN?XLyuz-8a!9!f2Pdal_V+3GF)HBOieGxSKv9-Pb1P}bQt({hL19(?rC>8fx0L{O$
zv}!2i1y^g&O;kt&{$E~0qBY#ee*VwHNEbfn(jU<~R$>O~<zunN6gHH+-_Gw^Dj)po
zeL6zGOu@OT?zE96BN9IR=W<*EADk9E7nc6j1h|uR_!D=mVloX<R&sm!pp|}k&orwE
z%w4Yi`2jbJP2kdkPpt9+r(XCJ-N+bj&E%)?lni5Ec11*w-{%FV-@A*R2N{9H4Z#!b
zXIio44}~_4G+ww}RkY&-GK8i1w<7P3yrXe_lz2*A-~q|{Z>0|e3}F|iFL^?9kVZ3|
zFS(9*AW6+@E7#iqI-l@QQrO40IWEcUQOE;EjYeTBP5N+mujh}ArWslp=Vb@IN*>Us
z4G%~Y^?~;bd@(Itpxx+kH}V|gf!l*@$DTdV16Q}v?|jB9w7-2i?w-I4CnW4v&+zKO
zwcn`>i`Um_3rpc|B<p!W(Jq`t>6$KlZ^(IIm%Bx~^X)|y^I1OV5DQJoX3+(+BXb18
zc5jnwp1B{h<p;W1^X89O9r$Hzu$5!P1o}&w-o+XMFey$h?iJF3mydi-R6b$`_G5uD
z><t3IBi^4E|CkE+p`6*fEUXYCdy~&4NDvG`%1YXR3a7FP6GVO4AnMKzQ!7g$xPlW5
zc-l<?Z?DX%>V9?*{I;j!nuah~@Jg5mT%f>(s{^c+4xC_p`by=fx(H}E9v-QXrNFx1
zix{@gT=39o7qhvAD99+-{A>F_2JcUO4SpARp!0*JM|iLpglpy+s$3<5Z9?J76*WE}
zYzju-`5+G7f;))D=44>{`2|-r&kvCn&ibcKCE=aWfopl}WH7zD?)G3x07O0lVg7>@
z<i1?B68}Vk&SROG>GOhsE2~l;za#_42z3P4G7_9}Rru+|B@E4uv!6$H$w6n6BBRq?
z5?t3yVZ-Ze`|UK<UP@L0gf#P?ibs)v`fTrO=KxXg#TmT&qO1s?z4TtUTp_`)nz_fT
z4Pwx5>@0NDL<#Qq)=0jJCqX|=J7Q5=0_KG}6PAwQ0QQD@y5x~yf)qP9StbdVqeDl|
zrYM7nMVlS9iv&aSv4^yGN`u7V%9BF<DxiFi({Wya4Ar`azoo9o!0er3!U?5qPOyjm
zbnqg>zgLZ75w&t)ZQ@D5ol^(o;atPrPKIN%m(t$bDFDCYlPesJ8qlo3KHav50`v3D
z-ajl9q4ROfA54@0<654h(i0TGpXOd)qbtFu6H6&g2Q@*0z`vWAMFmmO{2sm?IM~1C
ze)QCBEnuw3b7&3F0Y(k(<-onlkbD8>*jPw}@sq!)LLR!1Cq?WWcTs_Y=gpL@N7`U{
zB$n*ptq0HNaaHFIslw>3Tv1aU5_pU3c;0wjANq{wn<3lWoA(RUC0!!H?$WxOfo~1K
zXyjmFr;R#jOa!t@J|e-N3?T{|w-Lx2Cf@8+(f|(Yr#?0rB)D`s>_MrAF}zi9Gf(=Z
z0UD9@+?)X<FuebQy8pEaJlb#FkB`Aa(-p5{l9D8d^9+wJ-R6t!{tG1=ECl#Dknhi_
zstv>?lS6M0(Lhw_c00f8_P^*V^?$C@f<pyS`*U^zG%!9|_X#J!X!d=}9Rix55azRw
z+6#~waXroR0s&kq0&E4P@WAG4RGhWj99neSu6;HnK=0c%7td)mFsLbC`&eoYbG$rG
zhuZMa*6&l;l%)c!nHriUtLE^byh22cf`<p)$*;RCwmVPcXO<P74))QcXa9UP;Og|%
z2lZnLU~>4(uMg&Qxc=)aZYx|J+Q|EAqfKNXI<BMq%J#0OWh1J4UJXurrMh<hkpNsp
zReu114(1uQYzOwJLSc@-x6zCUG%Mleb~4d{^KOijjf4t3HLIU!I4B6>jY^JN&D(vQ
z!%O<ni-SdMqO#hT2Wt7Ne9|M$K}5^=cic@S_?GI@BFe-LKlRT<2vN+TLZs}n_zp!l
zCw`157sv#Yw{L&p`3w-k`CRlKy8;AFdhX^A+N2G<;}`pJd3(=cOAC7}3;zQE0RR6C
zmv=nXZxqMvy{^5tYhB#y+Ut9aN+D7*lE`WyMW~EqlNE}{PT^Nk3aR@LMMzemYzi4E
zvi0-lbN+aq*Ez4xb3X5nFKXwIj9J58L{fwzL;<vwGv!uoM1U9?+rhi^8*8Kg8bck3
z!M&V6Ikgf(pg-%!YRtWay_ZRK(R*qHL#M*auW$>1Yw@Scx^{DzG4qL<=y^kUHhYnf
zsLTfq4m<*F_CK(azL{4B%7##0Z<Iv5zykssv2lFe)0nHW@O~Q~187_`KUCF+19i*h
zUEYXkY{kz^$@Q5&IL(Sz-|^rAiRx!ma)j^LpSkVut{pwN7Ha?QnI;EhF<{G_r9ZIL
z<cBW(mU@slrB0-oX9e@29qX#5S&YZhgp^RA3))M1=kClfgAS=h)5T*RTadR~UtZUN
zLyDpb8S+eUlysF(_2LpHtK<2b_P7pcbaLg*moUH#AI*fw*=3CU2B-A&r8eLm%uOdd
z)5AyRW8@jbKUgcV)ooHt8_HUiY;GK)11aI$sB@%MjBLB!5+A1p3#JOW8|P?2{Jb1}
zB&=a9UHq?8*EC^S%n0+XrvajiZp8Dm8(3EOevz4Tnm|%tZz<BG0jgrworTIRti-o#
zDRM#sRvzstJRPKlt0(KfA7tId+~3>sIk;#*XXn#3<`QbSbld&jB~vQknCC7&JwgUI
z&JpGt>C|95+;P!4jT$;|F?L0#$xwN->6lqDHN;rtbQ><y0Pk79U6G&aupai%W2}!F
z(vRnh?(?LBR&qSkP>?$8;|-fK#M8j2CwJW35<Q%#qZ3?UQU{&rikSQ?8pxd%BhTJu
zgrD-kT^H_?;KPAS$@y}$Ky{<xx9%}!2>iNA3DzOOpCf&Em0nudu_(0X)L;dh{x=D_
zUx?7iEK(ewPX~XM?s)cSvBTCCe*KB7MCd5zui2MK5B9M~&r7&+LiwwIBULg)h(3~<
zX>^AHINt}Vj1O`_{`5fmT(KJ5u1sdV*UShiai9MV2y?@b%lKU$HZ?G&wp4B9WrlKL
z4_CTC9`G2%v|mT4!X~v-MPNJ&Tsb#U8#>1euI@}XmuXbNeeB`BG+8!qmPs}D4CRNM
zv9pOkZ>vDLw}z7O3_Cd8rMme=O%RThHdl#jsz5tteDB+5PVkTVd2f_f7{WZKe2r!Z
zz<tYA(SL&rdNe-V@Z1uCH*<<P`=1ctEV=4upaeI3AyNtO3yMRqL&~q4Nd!o~FMs}{
z3lD@kwG)a|B%!KI+AlYf05ANmKYLfp3rW9k(v6>%f<P9(p{xu7r1e&;XQ}eTcnmN8
zONBIq7j%V<wGg1{P*CxaMga)0Z4VM<l7$a$E#20_D)7EYpt{3f2<E;f-LAYM2Q$)b
zlG0f!kWurwEE+`M!h^V)SF3pF+xb4TY^Vy?b$&aCtBAp|maqBIkqYp6=3-wFzZ#rb
z4$~9TkpOLScb9;W65!77pUCGX0&fR-(eH^QwBacqgq|ydT(hX3`%5AejD}2AbV-4e
zgpt-=OBHxWU(vL5jRdEdxpv1lrGZwUW@K<s6%2}4&gq|42j2qH>p)dmFg<T>QKCSE
zVD^va3(k{4hEDJLvX>mVRalxE_7dSr_Zha-yBcu+Ov2=^d_07<`JS%vBtgUpdM3je
zO}OCK{D`kl9tP^<uLli~ASo%A&D22~>gNXp*>)7b^v0LduVmCAyrc8f@hKfJ*7}dN
zlt&2ymneCxpboExuNSk#=t0L=oD~a~GI$YrKh5LS!S<MyeUpX(1g&uKbImEkqmSt(
z*}WuCux@u5m^OrXx2VFRYyw!Te0W=DN`k3v_c_j67^GIxjUE(GfdP^D{GA{on8kb!
zc#sUBc)9Ptm(D7{zI7&KVrFmdT&mX1X2vi%HWOmwsRA0P>(p`t0Yt1#IQ~o+1AV9y
zx~HlF`-=izyzNkg5vC34QywPJW9xn-v6cWfjXr;rr}5Cldi&a|784i^PqDj2PXNKy
zvo|=VW#Dp;1UZ7<6wGNK?)MZ{2IpNS5w;(aP`fD{^;^aiG!1bk-8+h){U?e1oIw<>
z$>_VSNt=Rray0{Utpd=<Uu#gy<%jRYj~5&E?%9;JeXd|D4-=buy!n+lsC&g(dGM17
z@H9Rk=Jd-!x`{{jgDe*K7CB|a8EXQJCcF-}EM(#9NxAV^8d|tDxt}3I)db+0ifBTE
zG-QWb5Jn9*Fp`lG-`fwyP$pHhE=81rmVo6Z-rxnSz3x6C;*>Fn5;D0X9VNi^^N=;S
z^&rM_(WJ3u3E*{*Y_XP~D2%N%9d9X!r_fUE_S1#|bgs)Ec6%fQF%euN{wMk<W|!46
z_}BoNZzydyvI_t;KF&^Cd7Kj0t$MCZ3j^(Xu;nk{1u<m<>W`nNDTA}Am3EFs@E|#j
z<Me56cxT(_TYi6rQp!2);&H<eo?C20>)CPb>AYlceQK6s;5IZG@x%ZGxYKeZez8FV
zCC_brcb4+*O`-1Aq&{Q@Ps@&_Gei8b2|6y#SqfgXQ)E(HA2#_K0%DRGU~E{hE%xmX
zO4nB%3vpLHxcc62YipPm!s%Q$^1n_~_67SM3MtctyMHA)v#(J@60rI8l}u6|YXxdO
zThW2bNgo~inszb0JG3H7M&lHY8f+-~fDQ=uTIF?eZ((5#->N6VhA9rM7E|T<+R%TX
zb)WXvHH=;azcv;yK)G{PgJE=A3utU#(qwS0VmpmA3S&XNl)JAe_a|MnVCd6>_uFN^
zu~qhvt2yeO6e-Ha+3*%kVDHIh!S4LRvQBN(a<sms7~lJm9!AuJOlK{>kw*(ymBIVO
zi7Pb}^Hl9K)%hAQXLY!7^64CgF6e#r3Qwin3YZ%E#jOE5mfwoE$TL{F&1dVlzYnp2
zTW2_U6UY$bB>9Xa_Z?#uQX4;ht^o^b{F}T%M+W{uzME3PQy7cku8j6X3r4Ov%@TQ2
z9eM+}y(gt6F%^8K{U6&-?CY!;C6!(sB<)P8{|ZiEzJK{jUt9EG$9AlwSQANbTzgU$
zZ#RxTEi?T7V5}dz{bn_BfM@T2fA==L(lv(t%};n2=s$?1WU<pu<P#z3iM0$v<QR5K
z;<Q#f<1og`GE2v;Mua~Fzgf1u$1qbtU;6grW7voK6Fm<j)gVWjpV=>T43i@rr9^8@
zVE)9UJB0sKfrW4?@+f5t3(V=gd`w{qds?wgmo%&bN1F;7&MJ>%<e0M&_etNeTi$g#
z4|r5y<vM${DjLTQ-sgU^Wj}*eEJB~NH31ANEHt~WPhc_Ua0^C-b690`ltf0VGEl1F
zteD#*=6K?PTO`i{R$k|0ME;@#hTr64<9wztH>1>Yt(qn5!utbPWo4AWuGn>kzjzv>
zP85vD-oK0~TOTR33s8iKC)xW?)BeC7;jTS)@BWR2rdEg7eo%ni!Zn$!)EO+Zs*rys
zYz5=|g}-8oSAZpDTC0mzbC@@$-FwfYf3bk=QS$E?dHC{&-rLl09@Dp~XAeHQjvW?E
z&3QMEhxD<;ur2pR%=0d;Ksss@+pr||x7p*NvIpD8?fwhnz1kT+GPjL|57Ae$x5@#%
zm(+!j=gU~&n}=OxxBg+T&(umkHk5<>y0%An#Xp!UJA8}QrG}zc)E9eeWx=PTq~k*K
z3Kmgr&>_-I1Cc_{-Ja{pLPBfU2wlQo%=E(e@0)3K5P2uVG#kl46Tfs9U)Vb4SK*Y;
z8qNULG$Zb#Rx<D>z@@{WbQAM$d+h6Vp9wtGHSBiArJ=9+pkx-^4#p>8`0e=$3-p;E
z<B1EE28XYv&hHBUVXknbAU<}FBYc`Pb)}>srDgEV4P$EfYyKwriYgZ<=XSaM?UaJg
zxuWgKUueLLWI6ZvHExerSja<BQgDUgj>6k4IylpltN%TK2P*RK_8T3L0;&Tm+R8T>
zAmF{<V5>bJ5YdyA5ByS~!s$$<P{;&ZX%Dkh&Iy1^`_Ic^tCH}gM7+mml?B{h-&19H
zDg=+)g3i64mW0pC50CtdVu!TZqk#uhMByCHrZjC%5>9Gny-ZW$f?erjvG1nEA*jXD
z(}i*G-R1$6@){h-mu8`xi;{42CBN(hNWs+Q!SHl19w4X<Hf|?K!^_nJ1J`q;AVb@4
zmJRrz<1KBp)j?Tke!25AT|^r8y|mA-H4^}Xl&d$8A|75<1!=i`kOoP-M)=PwLQpt)
zAS_Q=0oLg650yWbfx<eKim(9@sQCGy_PwPNgwmfw>fN%ya)aSy;yH2P)|qPEA5Vay
zo6*Uo`gl-~cdARsk_4J>BgbA1sX{|otIO$id6-gXpgqDV4G)7c?}>XvX!y{mz{{-!
zjz8MChVx{g`hFf`bsGtC+plf0-X?&#%aK#6m>is$_TAQAR0r+8hu1Bm)Ijs;U&iN)
zcsSa)dh7l!8I;cdn-RN00<noiKe`7Ba8-Vhzjr|c7KTk7!o0}9=M$G!?5qTQUC-`*
zuGEAlG+#ta(lkL+ENAEk;~vKi8>$5<YeA0Otvs7w+AypCrkCrU3eX38PsTWEflcez
z+Ol9hu*h0fDrQuJ!k<lTDGGaeW7l+ZR>%-WqlN9*B#7W_Ppdw8OB1+-w_ESL!5})-
z(DCveA~e@$vb>Di%MVsZZ)V|*!54QSetMb+VU<-oBb;O){4vxQwle`iHqFRfIufuP
zh-oR*+v9kquJY8Arf@~+Bjxkb9*0T2o=7380^8i(u~!;q!0ASvZTEl()2#^=8BvO0
zw<!Fgv&RfZcDlSX6p1jBI6>c4E(;C;eSL>D_QB_?cF2B971BBD#^-A#pw{a@4I8I@
zP-e;P(s@J$<h_ecZ13_z<IcO{$%Fe~oBrNkT`y$_uUwC{ie>|ijpZ#S)_u^nVf6jy
zK}8^>+-fR+vW2P3nQu9jnZeQX{_HLs@(>|N2(f<Lf;H_2XjL!+W4W~~nr2y;;5h8i
zGPq13J}3N3xoZjm1uuC#L!@DwRqc7Z7&UrXeX#Q0t_dtBRoOq%lLWd8wRzk=j7V$i
zcoEsn1crL`CF`U`LBQ1Got!8e`qHQSdaKzO+_jHWu`&ySfbNP1=^`icQgNk-s~E%K
z9^cT{BwldSx;HKQnG3!8&McpH55TVSDuYcC7l=n1K1DG&w5;`D$PowdMoLQaUmXkh
zHs-t;p2DG+{P%hlVi*X0tJhs<qJyDl+D*oc+(=s2IA&Dd2zHG`bf4GkVk!D9WuK_H
zQS@hx^;|FnU!&IUj+GTmB7<RbbPR{0GH*0~_c8#*YRXA@w;9YTadNui84hW_S!627
z)&~V!k0@`OZtU8#k6*hZacDC%&*}9SJy3YWui)~ch4R~R(xSx<hwgPhIj<_I2WOA6
z%-OI{Q1*KssMk@)Aw>=4V$Mst5T0(jn&7@b`BdRe6C#R3T~E5CayoQCM^>ciW#=D?
z=y&DndI22bUv@gCpr!+oeY;9Le(RL#UW;HSJPw7b<;QAdYr|^Dmbd<+ZOSlB2_N?%
z9O{{mi8#)p4L78`o8=BrA^sa$&N5LrbgH7U5hAsqheh2qR)7Zm3N@>~+K)pn`&VXO
zQ)$5+Y+W?6lNN=RDtLV`;zp%>ZLW`_HKG2zXN>kmdc<=eWHBFcBPEh+ECWsxoJ0z0
z$PA1~KfR19-~<m+b9S@qEYbkQpH7EEGMP~N%AD>CPG0o#l0b}zz6R9riznZbVL=ry
zUj6JF=0);xY<eO?Wcd8kI54V)6)8vBTrqyfhqhX3n3*ET;OBkWlFf!4l~ry9`M2?-
z5Za(?YAR${H4~!>UgJPYRZeT)eh46|(6o=s<Lbchm2Gj-o(nyw{x4-iN(jY!+-G@v
zUma4~m&6>5aLBIAHbFgD7&(4(27-q=Shpumek5|E47aKm!*e1?ImTkDLtPzuax2b!
zCGsF$t=U(Et72$4&PdLgRUOW9hrgW1cu|&>NQy9C0`b%M3YIUDphd%E`p_vpbjm8l
zK`BTQ2_F9yS1?S1^EpWp+^PJ?=-jmh&a+ZzQ2e)|=^zQ#9e7VF_X?mx!j(To&Pb!P
z`g((pCrEJTeR_b2q7c%{CL7pYmO;t$jEMqUB<Ok{=uww0jKq`U{vMB)MeYW~)6IMN
ztjW*2>@KG$QW>nz(|st1?A|_gV|Gyo)r%pi*Ym|tmAfPHS|=VcZXV+?s!#_<w$Pz)
zV+oY*?|AUXsyyP};thJrMg|}BW)XK)5)FMTB;F8HM1*boySHzW;nA@-`S+Zp(Ahrb
z;7gbivWxSznB~#{E-rn&5s*f|Hzrc3k1HeTC)N{QH5wp5owqZiB!hG_@i#J@2#9`W
zK;F(@6V7!B1Y7gVB6_QfG0po_(9QEk|6MTC0_J|DJQ*rE6c;IaB$iVZod~?{`&306
znoG9QR;T1plo&zq(i2rw-Nd(fP+4cs*K75@B0O5<VCfVTQ$vwD23ODP>4H$<uizUg
z@`%=jqczS(4Lx!w+%mA&1CGY;cg!sn&?K>BVbDYkS<ilI8oI6z_Dfe{F8o$N*6)XS
zI~G+@NmL{2xl#l8crc8t6RL>%`Od4l9Z^M_cEh6wJ{STMP#TSA6wzEi+;%;ug6QM6
zAK6YB0skI#SEwnWkz3}M9vcu)UiWogi+K#*Bn3Hn*eIbxs<%FPd{jc0bqYm_d;lot
z<NRFBmC*3JQeu&UBD$E<dMB|Tz}4TNsF`00UEhu6Ww)0{(x+tUy_Aii@Z%YW-B*gp
zw)L7bzqcGxT0Vgf^f87CT>MzGt|BsRXU5~aWzYiqnq_Z}F{l@OE2F)wfSga>OEd74
zLKfYxRRf+G1K%%((kJcmXdj-c@zt<6dS6!R&Rc5?MfuX5Ni%rF6RqyWEFprf`&<wa
zDmMns=nSg4MLERVJ6X(ID1eMqjWRtGjUlqL+1_bN7CFd{>6Q5NqKY`UM{qHQMByBn
zOCMzr&*iFv$=NtWw|Khgt*kNhN*}tDR4t7@a$o9I(c?g+yOr(N#{ts16b|KON}>3}
zj(GVEW<>R2u`V_X;E7wqFOKVyD2_f*)B79)QhIRo;>bSO8~Rs$mtJwi)z7Y9a+4Mb
zU;3GKX##@<yB2?ow|n~UNLUQkrbcrLkD~ZBFgWqC&3wK?7%8Ng`G+s;QaV~^&oJIJ
z0&$|uJ<b(Dw7zos!%6pTN<6O`vqHBaoN^;Jdg}|ICW%&duc}Q-_S1LOixP&=V3dzl
zmhhnwL$*qR`VGqNKJdA6(Ewy}dOY3`c@YO`rPBNK2E~eviZ=DFKJfnwH2FBnje=(`
zx$CBHP>va9S9c5PL+_ldVptUpB~TlAXJ~9vXnxK8D7mZ$hf~%r(3Wzct826EkF>Wa
z*2A=Kk96z8)jETa*h`!!Bv`8PWzsgqFf2caiL46;`qeHC53-~BlM{_!<aa4&7M5#g
z?&?7P0*aRpWkbIYA1grr{!zM^Gea0@b>K(;L9a88tZ34`uCS4T8l5t+wYu!D4eKb{
zu;e@oN|&R%B!j0x-Mm>ZwWqXTyvitQ{V6kgL&ojibf!gy8+RU^I-v!LF5Rad<Czhk
zH_NihBRcdm`tsSe&zeBgy_RkMfeBTtw{wWGF`&GCE;tT*O<>|KYP*%qg#P<JF+Uy6
zh)Q_}J6?R%fL^^Ix0G}y<ltiYUx5HKT4btOX7<zom3T({<7Z5$FRk*%=Oz}^sHV(@
z|3ilHiK?93EhZ$Pek{*Fo(*vtvHv2*kb&o&(c4pJnNdfgpzIT$Jzf1^A9fHY!)6R$
z>fvo>)EGfBXV&FHV;iiE{jby^cOsv}^_&G=IA63~X^BJMeoq(7?d{2{Dq~l(Q(2LS
zTkiqg%iJhO?1btMMs)}n^z%|oXG8S{I18=EJm@evD@E}o2~Kn!XfUf|N4h3tD(!!~
zNHJ;9Nz!L;|BFU8K4suUg86u_Zf|~6ZNu`;Qi%lN&E=<G7;+)uX9KjEvjXU3vKYg@
zJuduM&@5xehC^*B{)+#ig^=MIx&K825l+x5JRV=dA?H&|W*3Y^P|TABj&rw(@Z9{@
zd4XAOq!1UCM9(XRez-)Nn+ELFPkkDwUFSi!Wb{epj1q{L+GDWal?aj)g{v_VeCU}x
zDx6J{L`Ra!dhR$7VdkYo1KEWiSq=BT(kYcfQ{yLn!d-}PI6u$au|@zzy~<}k-64&d
zrH+btUnauDWZ)SOIU#g=w#6)iS{6|_ig<_a5+O#7iT37WVMMh&?&5DMhrR`7evbG=
zgvU6wi9{Pw^mUBGaw!Fm+|Kq>35$~8bznFBB#St@ujYGPYf2uC4p^@GhLWH!tcJ(w
zn*<uNGPoCJpol2vhh$9ul3;ZIR(Z_0B+A%kKC*OM38~C;&Ktz3LqqTlyu^qU`oPXs
zb#qD?WsF}@ey>4>5jL+b{t0PRF~*NJ@ha#KxBB+nHW}iqLejS8WKimXtn>j}RU{%T
zyeKuU0lA?bf9h6cQQ1(<vj`V8^y1Kpmh`wLOol1lzP&4l7CBP7Y9)xse3EmsY)cE=
zF)w~`YI!uDpTu`8kcc!xlv+Sl2Q<f{TddaQk*e>K%bju}ij|8Blnm5`Ts7sd$s-Er
zxE{O5`FbLnwe7vY)UF45+DY%0{!>KV{z|3s1w=$5|9x~w(EzeWq6AL5Dk0&EFV=rK
z5|Q!c8sp_yLs+w4jb2z%LKTl0Pn3O7L!XbC9pD@>g0Syx^}6=T=u^zn{I?iYl=wP9
zRcw!k7cUK!)TSw;!HXFL-$eof8+VKJQh;z%z7hUhWwc<;_oAFt8C_VpW+kIw3?9+=
zM_~cVX!6;s1vIaKvT0j{OfrqZLOW&rov<=GS#Q|dR)j~(%v)oQbH<SO<Iu{DR3(&Z
zZ}uh<WRc2dl+mV~2}qvXBF_ydA_doHF%tt)=r~7b^W*^&Ffk~r|8HFZ6;)+vU)d5z
zDM^<CR&7imYa%nGV2?j?Vg4N<R2YTp*KGVVF@c#toSe&NJeulER~xkEN3&OsUy7A9
z0T!{!uJ46%2!HEJ-i_!zZtrOk3!68FYOi*4I3<hPME(1MY&lS>s^~-NJ^wmbS0W|L
zCxdnlKW2#zXF>-Vmrh7K8$;i(I7>>K6mlZ1b&RLdqLVsHCu`}Ap`Y#i;pj+7)bWX}
zqGMy1Qs!XIZ2kzq`(NQAAx<1EgybzQd#_U{HF|^<a{x={{$d|lQRGu8<de4V55-J+
z>+jzV4Ejq)sY*xpxU(eaGWxVg@eeT+y3T-sY-ZA!z#9P+FrgCId}x+Z8+t811&qMO
zhqzPF#D@r`5Jz}0O+nrh_Vw2dAwH#b|M(&g$}_s-JD531iSE_Eifb@{qR;0ZUNYrI
za`>4SHhmM6vfAv?!~gW*fKlR*5aL3X&sCGNWG5+|4tEoN?AM3%;*%@0?>W##dvQM(
z+bK%MVyJ-lZ9T}?-@|Hgf(>aOD5q^DeW!eTpIwBT(uLE8wu*CFEXd4C=XKBh8H#XP
zu49|-p6|$yY0n;KLLN^ujy}BplTt^~S2fJg0S$qsX~IheBr*ENr~mn0zZrF^&VRJw
z$o$TH%u#xDl12eQWSQbPyhDex*9Okb$l@>Zbg0Q7{7K*DZ;Fks0Ovl677PphT9zl$
zBA=l4U;3*nlo9e@|B1bP-&6m-yWtECA}$_`KFqX6F%irP=+D&ztA#W#xsTL{--wIZ
zgS<hRVk~fF=hg&!WsxUlC#lis_~lB0pe@P(;~0Nvq6W;$GFI91P$SWSND_bl4kfaD
zDMW->1I7f5r`8v!kV6uU^QJr%A{nW*P9~6n^Y5`(sh@jig6HelKx$N_pu5)3MFwi2
zjB|?2)JSV1{+)I|4a)q$BEFWR4*y)AKWN!cjU2txtxp`JL(CDaYey8-A;Kp+m!X&%
zy&E3;5!*+PreDp+ti2*ZKfQ9Sofr)&<gPML4`D<<?j?`@vn7Ef{z$)n4Gq%Pcy}y8
zpBW`cZHOl>65;l79)I8Sw5Z#}0ADM{if+~RWHludL8_dF`3XjcI0vX7WXrIl$D^L=
zLu4Z4y3?JWR;Nc-{&<Lw*>Ixt2ZDOC4Qg;HxaJ|peg^dQnsDZeJ}z{@*Yvc%h#Dlb
z94)_il@S@-ijXT4<VIVk*?k>jRN+icSw~hk6B=*sQaEvi2MKvL|E27xfM&2-!eJ{G
z^m{tJb7P4Yt&12(KaW&_(07&6#Y?QnS^4<-(^!5q7=2wYgkJ>&H0K2d>e-QnhQDP6
zCWxlq80sX{6QDk!Y1yrc6Xj<N`q2mrBj@0d`qGO8kcxIVvN*?u5~n`hs1y`M*O+S?
z`t%4utp9l`oR1sb#|fsm8;T>sXx5L*A_UMK$v)WZ$b;^XNZn0lk|=SF{kQ=i0qA#k
zm-y>=k@Bq2-_<ZF^eAvF%0ig{I(eB94I2DNl79TfiB4&BsP_2<MK=PBRunAtbPAx7
z+XwsN)MU~B00030{|uLRIF?@=hi%E;d%yO4?fri6OOuGCWTc3wq=+=Alq6I(4H>0q
z7nMAZB70;+5!sPsWRssi&$-TZ&UMcDUZ4B^_8<3mt9`2up$A=Y#!;fAZUUcRV2%Q*
z;rYGrx|s&vIi~(O?kY|S-;A-;S5+d<oH$x+{!0T~dqQ_zvX>+^k3^9R@0H21N!`C)
zwVFu0RJW~mzchL6+=h)guBv2t&^DLcel6TDwioNImLX5J@h9Z1sF9(szIgUzXd_Z=
zvHRD!Ea_?1Fa9Z0gUtPAf8mr56{r6>EeS}=llLqC-TtGcMaEU~UA^z91F~=KZSF1#
zxsK@W;C9v~|J`hOT7Ezmma5E=%t;F5<YsSKLk23DLR-i;N!NpITgc<=W<~Oxk+Fhe
z5|tGDu`^C?S|3*Pwl~JsE0go<8xrYRbx8L|tJ_8b48febOK-cO3OTj>;vKnNhs;^*
zzp%_;3{aewciXFy@^x>tN)GCfp9=Mx5+0i%VSa4uw5=NXvn<QRW0MZa@iNjY(Z>u+
z!lf^tDyfqOH+Wfok5Ng1X9bHr(iYJAw&cFGO`Uu#7<LnmRB|EvMfvl38bot-YE-vt
zkaQ_*zkN<?lmDICC}RE$@FObC7UDF>w{&}M^?lVOe>%`#^!K$yHTSn8+6fxuo{tx$
zs&=cBQVDnDJXx%;{?g5%7<&!!*P#HnBXKHZ!`+y{t(UCeW+!XEsY#tI_Nbc~x~@pB
zX9|^~AGAW{rBfWneClLGtdG1{ggn`wB}&zlwMNOeH!^YJYGmcrqyOzZAww3PO=fmC
zwMNB6{^1kTD&!B7fU_E0;$)cj$hI<lYm5b(E5+PXChcQy=QN}Wl5K+yI~w?{k#=Z-
z-bzP_Y`7{m+MdfpZdsMLtNm&Pfno8wjRgv%!ru79)p6^{FvW{ayJD@7yi!mxD@q}a
zRIASKUr$dGDz_?`wXLu-dH?CL3v#5P)Ct4Y&>2EOB9@t>+7e7%R(&OtGGx@XuS3($
zLqzS}E6#$hmf)e8n#Q$AkxikFp65F%i5nH}-6|u%HF=g++dgs9ByOYb>#Q2up<!$(
z3<myNFaIM{Sd>h?Wz^Wt{DW4|CB4m`0Z?>cn!Ow<L{4pbeT_AHh{lNA5Eoe*vSY)C
z$JYsvB?aT%nv0{fXrH34G%E`TO{J>))$o$7RrOCkocc|>_G|OY0zY#UC+ciXIK@rc
z3aY7iUmmBK(0mAm6f>Mxe>N0e#!d?TcF!{o9;YSc_{E^s6xWL1Z?pDUN6P0DFEwI+
z(+2rBYA-XJ;<Ud3#rXg;8E^9@{u}EUjjG7Khq}=OL-b)DTVFGf!-KgFZ$(CFNx663
z@5LEI=EBEdeP=rIBb!cU#NaS3Bjr&dOP3L{x4+J)3tuMgGPPBN#17Idd{~BfwT#e^
z{z7?k!#wd!)2OtP(oc&hkw^}^Y=}*k@vRS1W{538HYcAFKWG`IV$5>`2H589@Jh9A
zis+uFO-QwL(Jm?!aBtpdfbqi;ZI3-Ch%ZEdP|nT{S}I@vMZL%RF#EOZS$5JGk$BG`
z_Z)94&309t{i3Ko9K2(67wJccSSyt;wj52g&y311Sg+{8>Eoub&cB0%YM|k-!uTp$
zo`0)X;<7HXS8}TT-1~{&S@k>TqRMFJopbaUPw3)5h0I)U?Owt;eVo5#<Q2`mMWR#t
zj}F!c9=u{)(oIkVMU1_-X45t|So5tM*1<p7Y@Y|kodn&DtP;BOXNW^9lJZ+7s4)EL
z^T*xlD-l;U?(FB3PpGBtIkg;2#ZA-pAoWe{gwNN6O@m{viINjX92Wm+qbTx>l<vDW
zVtF-LvcjDt?kFAbRlBMU)l-d`FXCDWyK9-=vl0~qeSmpGsF*ek*)wLo6}1pT|G1oH
ziE84cps#=0ZY`V<e-nRGqlGY?_tU-a+(5i8y8VE1Q4?7<nZvt(HWN%!C>}lenP@Iz
zPxODOfxzb;j)Hy7#L}j7x>EHmMD+I_=}n{R$iJmRHzU|WJeId_+@kY^U~wS7CMl@n
zPj#}cLqrSVDeR=x@wkIHw}YXZ>Z1nL11{wWQmsVZ!O7)~TRMqR<<geLN2(xydlvHj
zX(fgS?3*@nbQ20YnJ1fORWN?pJxP4BjZl0fS?qQ82f;J4!jf#Gf?VH7=}JmFQJ@rf
zoq?~9Sg7Jp*2qvs<hz?+mt#7JQIh<-x1yg|_oQp|^j{^gSlQn4Rrp41GHa^mzBNef
z&Uy2n{|+Stu(w!*%ytsZ64Vg(+rxyl(<|1#mx}Q0={aam-%T9!IsY!JeuO~AouxW)
zMfglKTTN1a5NEC}{Y#>b5l0sm(#0+-z)jV;^T?rIf^oL}ie}R|k<s|~M9C}#o?*|N
zf3)-wEK3F%@*NWdvv^G2{X-PYvVXEXc3^-g;?t^n9xz38o+&=s)+dj2qZW|TLxh-L
z^u}S8zr@(o`d`)_@=(7#cx;&MCsE`f#j;&smWV#i@MpG14r8jeJ1;4X5|_>nuuW*s
z6V%B9xrGCAV8125q5jMmp}Cup*EwpDSn#N_cN>=l{l_CwF?@fBOLH}9S;8yC#VAKs
zoR&pEVfHDB*$JZg!GkSH<EuoXS8!rAmn{4$rghd`nIfXOemb>9)01|$Hw0_v$-ptN
zzlPoBFA;ruHYEN(MpD|)aeIlC41Srp^kz_J39CmXI~cW?N&S7K!p&-F+-{|Qdtg6L
zEIpstqh-rV-tRirk|8P$zm1iQ4<9TN5}EU7<8s)@K|C{g7a|2)gMN*C+6oc7RqDF5
zDF+#GpJscYPZDv(clDIG=*ZSeYX*N|Zu0gxr}Y7MNzBfSlQZ||$&=@vOj*hBk_INf
z8fL~MpgAzI+1iVdbgW_bTGzuzwz1aebtFiDtElnNF?(iGs?S<hq)vdOyK(%-AzKN2
zF>hA24q_$$S*He+{t_am=UOBh6xZf0j)i=$V<VHKi&lfIM9HV)_fE6PNx=6-DMPt8
z2N_d4u~613PHH%1?l#&WfwQlEuQpk6lT4f$zm@Mxkr%=~hm@p9;BZ_`37<YM=@VYS
zKGiKlR=<hR3z3sVdS^yG>m(nUH~QYqF;0#o4kwh-O-Q0#u=C!r4goScKiW=WKZQI_
z4PpMnA&o_8FLTdvA@Z<_d(FI?BB>$FKTH3g48Dt$3T5ewk{{w72cym^lh;h!cW4^R
zLVTR}#^tBtWZ+@{vc3<h<S`kZa^k2Q+zTohvOT3p`GENvMI{Z=w|3`;TT}Ar`nWAv
zD_e%_FB#qcK1Yk(H&c~*yIuhbw|x9IXv>igZ*cx;6QPp-4%F`!=Tt_uoWX^GHhGfe
zCco9NhYq=g<wUp9dsR63?2epHP#`PH|Hkm$)+H@&CjMypseur#MVZ9CN@P&+c{8<2
zJ@Rd5K<G@ZHat_rjB2PV<cTYjdv?_6llSg<Z|)t^fzI^zBRZ^VWc~AJaoaKt$hp#&
z!$#KnxWJa=+_mN#*YpX+JrqN7zfxik?VBMo_jp-*Mre{<VWpP~9Sq5ZO2166J0|d?
zrSs)7Xp=1__I&604avdBN?f_;%(16Z-E1~bo18d(ecb~$15!U#W&W==(CWV5XFG*T
z?#sUGBBQ2HPHwG~(n_=h@kVxAeh`&BD-@rr9idCoOHZf8t@*}_d#ZD}SE-~#Zf)u&
ze<~?nt0Frvx#lyALrc5Y#=T6*ou}4ml20?vj=ygD51PdbOJ8}Y<ZMyG?DZC9vR(IO
z>-gafxcYF|F5s*-xp?$=R(QBP*+Ap}UGr%JOjdHFa)PwT(ibmERWC@8f7^^2M!s)=
z{NT$s-ZwPJ#FFkso_Bm?mX<^B;kO&$MqRj@bVQBhR2;2}?qwvEC7-^!<g)?BeRnRh
zimQ-0Tfbj)DCi@+#U_0}{r(SI?GJpyBSlhm;n<ETo(Wp7`2_tv*Z<&L5~`+5rI2xR
zhr>SFFu+oKXwv1aHCkGyM3qWpNhXz*n@X1J;pw$K%9+m^i3AaR;+YhguH_RXE6oFU
z)!x^uepWczUV6PmMvRn>q?G-#;luV>W{$=ROE^u28=PqoB=fwFh|UuHxDcDR>6Wr3
zI_@7%7i#7uiQkf$u}=iB)PFu~=_VjxGVm?Rl7l?8+kt#zAP5_e`iEE70XeF9Q|%GV
z<b<!%izmkfF&5A>pTR+cgi6eG_4|K>a$cH5(@8;$mVK5l5w*bbh17xL`O`#}UR?s$
zUO}YH^rl%Fnj^ou<Cp#ZenKQpvHXmNAau#ZyH)$m5OGAh<uc;~;v9ebr=N2I;4s$U
zAH8J?0lq{R8s~Rf>$go2KIH-sR{X-WbHD_~hc73M^o`N#4sQ(WP7}a27RR?;`X+cf
z_PtoJ|1Yg#BK~Ul83DK&3O1a*Zj7r(o4;&*x=3rRt1{#`E&z4v4vzz~Mv%C*Iw(7_
zN^=#O`{%H>zA?&i?~naPXsin|Qr*h{K2zyWmbV4)^<?ypfUkzQdb@62N*oi;Esppb
zwhO?zQ0RG%vmsvZd1hOZ%7RQefkY`4LClcRA{#ml5FBFn(&EB8MBM*$=tiO-Vz-}|
zqZ~9q^|~nWb<XQyn(5IoBPs;%XHU!Y7WL7PwiIG7!hu2=k6lr3gkZvH@i;tD9~+w4
zUOi~yMD^%t_x;C(vFZDJE+GSboS!s~WQpR2v_zEX-Hjrc?Cw+7>(PT^_RP}3TRdQ(
zQkKmOM3GoHl_8p-2R;`|o8#fUi0BKtu1*s}9p%KZ#AZD#u-&xkaOZ>JH%hggmpDqD
z1f%Y+*F#$`VV$s<A2Q_!hW+kH;9<t=G5t1O#FrBL+{^{=a-v63W>yjdlt-_2<?F(G
zu=ruEsUTFUHM#n{rNRC~@#d4ux(Je3U#4v%gaKj7+wl+?Y-BWGoDS5*&!3&|^4)|H
zmisRKgpDkYG5Um$c(3iBTtgAQAc99sPVKK{<nW>5LF=J|x`0T^U!fvV+#Q^h%w>{?
zR(wd|-Vj|>9<x5ZydZ|ZM#*Ab6Y?O2s*gOrsSCT~cZ@%6mB3%oZ0Y2F3bN-0QyfWM
zxU;)G<t>oJjsdN^8Q&BT^vPqwbVU~#o3o-g#iVg~XiJb@iz0R?Gh1)os)q{g0Y&{S
zGT{I5L|wc_2^6k<j#iKKu(gQEJ(oikosPF$PrOqGzrsq-2T6S}1k{U&waDVR4d1ic
zdn(8{l=W6QTOUliiIH@fa_DQFE)We@MRE6u9cN7quv_@KfWNmq3ip)xwpyscu3^XN
z{X+&w+IB{dTZ4kvt?xy+eyYJ|m)GZ+dxnUN#~qsq3M_O7ZL<T_v1{c|>f576$dr|x
z6D&}`V)>arVa@7bYe}z*-C_)Wz4#zwH$}WTrJ&KossSgPQS%$xCQ#a!bHRvC3770>
zuBq%Am`a%8HI*{Osz6~y#C0V+`#Cbx`BfcL*E7!9aht)|{7?1eH7<$gH`qz8oqOJO
zu#;ug4EMdf!>0n3k@-H|s<2)S-L18!%zv7r;AcuVQLGFJo%#bK)2iS+^x<1hg$05v
z7=%vrDWkD<>%^`h74+8*S#aK<A$MopB5h0=j5ozTrae@~N7B91nF8o@9SoFhQ-;(n
zmsqV$N@x@-=6V$bR5z9`&1WjZYPs1<uu1{9gAC;_KL?IoToSzTpEBHbCUaTnQIMWu
zUj42QFisxhy;ZM-<%Nx6%gJ)6F{3kRWw6AHrxb<^6D5qP?bGsGl)>joCh0ytOW2Gt
zC%=zV#AK{pc2T1gWV!cuo#MB|$1lEOrEA>Yamr(IqCp%EOMw7PK(oJ#S<IH03(Gn8
zWQl^$QqHuxRS|TaX50686wr1p_idD*;Gc)^6NdmH?4WdnXp{qYPK5RE)|ZEgrr2wm
zxB$ko?VT&va(HP|ZI;(&Ib^I$YqR9x!$oGPAVpUowW~Mr)m~WyHSG0p*v13uopGrF
zap1Vo$!a1<2A72|4!LD=BA1v}nt4n^Z4V<Sy`(hGY)DtCQDBEmLDG>>DH?tm%djwc
zOJe^M!}>UNHthT;%6BK)0y#<S)MsVlcu^g+P@Bh!AFVj)_QxEas~zTc24eWQ|Bq46
z6&9p*g$z47nPVF-scBasg0sQyd<?bBI5oK~{7bPJe(uR2d;*1Gb+2yug9kJ6z8ba9
zN}7Rgsi@$Akq|thUDoflV20Pjh{(8$rs&Yw!IdT@h>Rdb%9tB7!tPGZZ2E12;!m6X
zw#W(KI%|-1>T70jTMhg!a4~@y-$3XIYko-ioSR9rWWhX#Y$B!77@to{v&Tg8VefyK
zrY*4GuAX%)ld&=M9mnJ9I(ZSz+uJ?R!HR@K>TTB_8^NgMor;?SFI4FrgL}Hx!IZTp
zi$&Q8k20Jbw)XO%Yv#zOBMj^DVRptgIoA;Xc2_cF#qhu_Qr;tHBRiTTw<QNE86tJo
zfecvt59Y$g54MjuKwS1SFE2DeX}&~EwE_>El~TmJ)w#g$*+MHbGJxnw8rz^C57u31
zf9O)j4gcx<qVy_#v}%sXGfD8^cSnV|R0R)QVn(k-yXhl+ph)AAArJaEoJ)&d@ZxS+
z;Z)U}9<)u|dxsA4U{md)UdnSm=zQU(zn8L>^Oe?{i2@#Yh#s2^|G<xwlC{b;*Ta?@
zhhA1N^TI>m?ML&0H4Yv%w(uFz#j0a(ZCwyAx|a8ae-shI%aC=;yqUTXxSH2eHq8s(
ze3!|2Phlv}*Cu@1sf%AF8$=#P^Fg|GNv!<62+FN}pIZy-!o{UJ;trJ`O<&aC&ufXH
zDVvVJ?}rZZPp#_Ijq^id&n~+y#p396u<G3VLI)ZT-)nl40x&z{aNTs5BnYm$`6KZ<
zSUxCKlAR}ry~$lc?3~j0ap$7+&tM&-n5#v;&k{nnY@AzTfD9(rb2t<p)WLJfR?g06
z!ti}mA+GB#3mJ)9Pl~;DAha#}AxFCi!d)3|%IsO=NMDnK$T1!CCjK-s=M_U$eehJ_
zS|9i(eCNAgF*-OQY`rY!DGr9N$n2=Y6i7a2z2@;!2UDcBk>*DU*th1rYK~Mu7ghC7
z-nb6vw3{9U8%sg?OGm4Ex+18%WHqNubaCNrl|ojTG=wTnF-5&lTFVD@2CsBoq-|?<
z9x0GP^iX@hK#ekXMKrL_aq5BTc2aERIa!F@U;e)1s|tKJDH)$h)`PoEV}8pnIpnt7
z-Z<W=3Y#N^g2(mrF(zlq&8I7mQ<hQlUuxBmVPJaZ_pm+!W{2#=xhc@rk27_;r;g-R
z!RFAXYrfGQY$Y;6flu3odQBG%+;vO7zYuE(g*mUQAKxorcKgNFi9rpRnEH_M;YQG@
zH=+bxQAEE=DVzC!n#kh`Ry-GGjIMvY5tOz3y(ZUx$233_lNo0k<u90^i}8z9){GJ|
z1{uBxyJ*5Gs^RG0o2Dqxoo`LMrVQuLZT~JZYGT8ch|8&YX3)>BUTSAo!MX9la`ONU
z$gOB73%oLi)E1?!K>;dYz2%gC_=Y+@uU746dt-qQrjdh;1u96;exE%Zs)lzO`m7uU
zG)&LMed()IL2NAJk3faB_c37JNB1A#JLp!py;KD^vc)(=?<#|NGI_o<8@MFz#hVtV
z0;LFf8JlTEd}pV5@J_Gg@E;aBEn^k@&3gN?T~z^isMZ&tz2?bcbt2h>GB|HJtPgaQ
zM^)Xwv#Wb7VR9)nC5fVpWxMj4+%Q>K_#M0aJjfDxc@4i4{FM+iGQKTphcsI2`~xLJ
zEwR(%_0RTHMWlJ>uiyAp9L?Hx*Zl)5@wk&CMeW&IJw56UOh^@hSCo#Lv4bTNEOnCO
z-cVrWJ9kR^mLOhc`9BF*^LFu-<MixB@+f_M$@S$QK4`V6j`92j!o<7{&pnodLei@b
z4-<KC)$#cU-Pb@FTc!1h99jH68Wq1$j1!d;^o6y7K)A`|#??$2$g%XQJ$TFpeePHD
zIcwK8JhQXk)leGQPGNtdyIIh*!Z}^A_RdCak5v|JBw-h)5;u3736=VM9%1Wf7#A6S
z{p7GXDiq@=n*9t&q!0W(?P-CY&n`ZuPej4PWgBwi7CnS_#GL(GWR8ZXW?Fl=L=c@@
z6MK%NLs#D5_em~uC`$_b>x&hF)~mXZP76BZmoz1FA2h?;gXjAO)dcZ2$F}|~2OTa;
zhiR&pnc|2>ze(LMe(2agxD+f!hwSiA+2fL?C^`02I<$@tUd_3Jvi@}F*kK;qe8vR(
zln#E|SI-NDoH1AHQ96u&J`kbPYm8sddG9~}&4a4o8is{LdK~nn)!1(`#`+~z*S+dI
zFdX%}|G=98Is3GaxxX+%v<&B6R~~M#h5E_<+QkUIIJ>q8IU_7ilQvbWoDjDDDjn#{
zgs<;D3Vum4M6B@5sbdsQoNs3g?oDKdQ`h&ip`3<zxm}98E1Ux#F5G<bsgnhsyLKBz
zUNOLB2VcJeMh<-ECOHn7twV$NGw=254bUIor~l>+J62d~+=$m~U=F_BryZ{k^Opxh
z`7_zU#QBF}yOkZ>AACy%MfK5gd~z>WK08iI8T=Mr;(-3nk?TG8^>Af?h3>x|c0AgW
z@g%;I3&(p*KD{&5!?IEef2uhLUL1D~qwVHF#jxr3o>pC$ahbg_`p5wnHR<#fcV1)+
zuT;ex*F_-r@h`WIaw4*E2b)?5AIuMacV!XL#n(NVe3z}b;9jP(mGv$^PI)qQJouo4
zPf2-c^QPPwSty$P@m&DiriS;v9M?f+afXw)CJ*XqEY_S<A@o{37hzJ@!KB^3v7XO7
z`0}ozxI0}KWna{<7X6~)y>I5yy(_#>tLyGalMsdQci(MSUr;el+mqG2lMnhD*E$Xs
ziNW&3%|@+@R9t#D-ZEyuk3Gcn5t{%Bcp2xuJM2!yeG~eoPz?cyWGzwuno7aW$E8)t
znu>tBVBuBcwLW$q{h<JU8Ki8?j@heAMU-{J>(#wNXj416{e+M#mUjovC~8yjhi&!T
zP_i&m^!V+|6y-4BW!_zCLdAZ1#i8Y45j?$Ao0wxQj}DcSCr&z1@u@3cdAGe7()Duf
z7yT(9Yty7k&QcK*f8|O|qd3GJ&L!~NRzUGR+Q;?ps5q69?DJvG({36th{U!l!bf_t
zdUU-Gj>d$ToA63w_+$C$ZGy^(8O@~saa0E{{GCI#`pUp1Fv{1#Q3Zm&lW8u$bkHbZ
zI9F~j3p4h|_1Uqi@OL~KmUMQl4-#}63xyo6XI}qi^G*%5x2Mm?s_H>1<ra_onwO?t
zGCHl_p^kdjxxVs0dZ3$p8#bs;!I2}cgo8RYP!YjutJ$EBCS$98lky5^ytnJDW{D;o
zj23ie$_>y!KSJLuqzJaf;2hp#TF5_l+-Fy_A>=bP|81dH0&T<T-rEye=x{zPd3M?e
zl(41J>~1A=9B{hcBchEK_0KQ%Q%um5p<7p;uZ*M*cV6fUX=D4O%g#CvQz&j@r|x%C
zL5#`7VTW&85S_FLce!JRq%)f$jQ^_OgZtH-mxfwMH%LG5y3-tC#%F}L`Kh8UM35Y|
z)`Y)<k;Y#R8cdd)`Sprb;r+6>wTWH>_0B@^Cj|kYu5E`7eOJX|)G|NE8h6TWdq)3C
z2GWu^cV7LX3f(&wcD;G3g1eV)SGuxV;)<akeat;oNNHJJ|6RP+r`WUPF799B#iY}x
zdP`Nf9p0SXdPf1LwI1whe`tyB+1d=f*D9F&;I{pCusj}Jf2y|d%@Tz_C)gGlRA9CA
zh_YvkEEdyT{Jj2J;`)H%!6<cQ^e3@dH0_qc%Ft-V(wrqE`m-DrjFj;Gee_*ZC$Tkr
zW&a8ow#4}0M+Z_(5eJHWs(e$0z_BtVK2mOp>PXX`^PCE6{&04TU4Jb{-vyS;-LS-s
zlqXp?`sES2VVp%-mj}-+o7-tlme^wU{8-%!If!Yn3P@|PW9nbRdslW#_$oy-C0vk2
z>7(X~{qI@euRWet^cL{A`ceGuE*TguX~sx$Gh#OT%=7RAz)rEAKkU9z$fI{p+$%_j
z_cB|yM6L%sY2OVgMiO}bU_x0WVu_ZUE4T0NUK-qY7IhU-#K2LjyLozXj;4OcR&T>S
z3*?=*cgUoQ;OZrNh@YIHW$GDCejPT4X8iQSqx*#LAm7B__wzK3^}OtxMon|9OM3d8
zd?kQ=jLv~8Kc{G2KA%79g_<GSiF7d5;)m;x09)R>Q#5`d+ecO9rs(>r9$&S_3!9hk
z`Sx^8(c}*}wr~oXVmpJcc1;2g!es1RwJ%T84i&W9?DjLkX;1UGo#R{}{Z&szT>DEa
zE>ULeDKo|aX(b-+RgN_eX^TkjnW4qM;-V{&GRD><!uzH@I}%(~kBtY;(W0Zw`d7{w
zq3NrxS$Gc{jwn_~mKrY5_Fmjy|6tG%(-#7EZ+);1>qfgH8`PI*ax04W-fcI;{{R30
z|Nj)1cRbbq7sszXviBzQUamXs^*Qb>QPMCft0<dFXi!w7r81&I8c0MWE6L|WR_2$K
z5sHLRb~Zo1f6wE*AMf`$=Y7t3Jr%k|<rA{FAoGE^n)se|ByQA0m0qa_V#bQ+*?T!5
zB|~-RnR}ZEq56OhA5{-*{gN2bCY+FJH~m+44F@N$-#WGPr7l?RtohHpnFEe`*Y90s
zutM&@N6#NBx?tUZ`%!K*2ebt#NIXbogZ90QxS@0%APup-y6eLMGVP-`@Vp!l*sCS)
zfY$+~mIDc#K^&0o=vZiYhZ7v!plJ6SI<yvIdu~7DfOtau;5!X&(1{wi_-aN6%a;AA
zlXDypO8Q*=_Zttm2wa#DZ>PbY*Aj;g`f$R?tXQf~?lxe}_39&e(}1cmS7gM(1+B>o
zN*gKsko(`Ww0-O}kl+g8KL4Hz+WS*1%ku;w4zoS<CX))%*pE@|hujdq*l2!gRtQqq
zMh`u*rov@cp}v*}Jn*A#yv<ix1co{P{Bm5Tz~zX%yQ1%Tp~ywDG0|HTw#gMUkK|Io
z>R`4jj*Sm~)$<an>cl{|qH&GKlLDpPM%rIb^TUtdK`m8g5>VcZoLf|<0Pl@(MPW`s
zur)7p@am9+J9yT+*T0itI?ZB@>@Eb+ioOP?Bc&m9=TOL@t7P~xba!`)gD?d3-M0v}
zm4((fztzPI$nb`jveN4&0!7rIFMpZxz<z4yonlrp2(7c<af}j$!dDkg{kB&G=ht=C
z7l%oZzQkPFjf#P))d)9VtrAp3f3aEoPJ;eX?(9@i2@qHa`(rh|9dwWNc5y9{z`kR^
zNBOEGG;v@_hlwiiP2`L6Pcj*jIIRZ4w@JhAm44>&^Qz!HM%5C!O$IZo=t}+q83<LK
z8Jq7=15Gz%KA)2U+Gn*Q8cxYU{Yr{!hoJ^^SiJjv(uD%y5B9RE?^Xc&33uW4Y&=92
z8;E>sq5!LQ<%<;sCCKoskk3`ngpcHob6j>*c=0o;|B>o;2p<a&`4+DQlr*2@u|+D_
z+?1a<rK1c9x8ikAZ4$vs@Ma$Q9SyEn&tLbjR)MR3TzNN~NRaaJ(SNd!=%CjpF;L>8
z3Kd-R_s`PEa6|v~4fBUOurJ<X```^Vka)THk<XO^Vn@!o>@LxT=2V`gq)c_Fvj6GM
z+erZ#SHqHm89gX?UJ;L$Yru)qlhxgtR0wFtw}tOA0G2c5X;Ia9P#df0mv*MY#U|xY
znYV_Z)KR;3ri1{^Z<U0W-L~HC>6}R*83Sc?aHHU!Cj3m!OfA-@f(P3*m(&6iFrN5Z
zyL*=w>?=92O{bRvjx9wBqZBh}HxMMof7Jr%g@gK$mK1Q~xW*oofxvH{n?1MniEu}W
zBjO_WR$QLq-b$ANLUssv9Q7bVL(GR<UlnbLZTNn@Th1H|!rtb6a3;bIPmS!9DNTrN
z>im$KZVvq_1LI^lB5=nXSJaBYLuu6T&0!%1AaQwLnHgGOSazaAV^j??FaM$lxHBMd
z$-Cjsq9)W6iidxgs=(gVgABDK2AnzYr8GijtA2-0R4Y7Ef+uyFUa@%$h!%MnFC$6-
z0^K)7R9X(qD(*@wXEPw#&){a%m<EtdbA?CuOF}_)Zz$(o26%1{9Ey9c4h#Cvznaa8
zfSRoV%I(5{gQpkeY^>BEDYf;sp^N|wR$4?pmtnw>pmki_unJ%qe|yFbazT#zuja5u
zbKuHa%E<~-26o$jCnIB7pf>o$JC4)lP-n4lQ(SyIaOzhU|43Lye%_L9J|JKY>Xn=O
zzxgY|^LLq%T75H!<w;Y%wJZR+<;OLV4RT-?gOGnGk0NSb&7G<Uz_DK+r7d^Jz#&E$
zHrCaLod5lmI+=rP{ljbjynjhT8JEe0G_f|McH&Cg(QY#!iyAbZ$rp!#URKw6sdD78
zn3i%Nw;8af?Rb1PLlm%=oN^8tafn^^4-Y33Q^*c&e``@I4C4vM19`7LKx267tH**(
zAi;_hS|}_8X1RLh`)iWXm*n*7yM@LuwlmS?k}yADHoX$*@dz3cb9Y<xf)Uh?eE*Yw
zfEO&<{b<EUULr4T6!!F+8bKx}-@o<mT%f9&*fY~rfkfKTORwKHg!${M8Q)4d;NqE6
zF?UZiAOivdbzTDo5L1#k7tqNDjAs8o!wv1ojNe?lgWi^1I4ZM(!U{cO?p|qaT}bxR
zNqfx%eZY}~b9(A=;Q3MY#bJ#Bgg*4gxpZC+R?nWly+PPSHlmiwNG?Ojd?9~&r=uQ(
zciic=)>ubM9@Z}SeE5Z=Wcs%{)#}2|-^Pe`#47Sm-72G)@*C-T{hnV_M;BniP;8K}
zf*99iC&-peB1i$<K`BcIyc4iCZ>43V?Bj*flN!^AuVad@ih>R#{dd*nmh%$wrur)@
z_vQ?udn>Tv|MTH$JXd5#_aYK!V9BdCJcsO)XSuf^Nr&5y7T(6kE+XMU6U4%v1w@wh
zLcr5x8c5SGpYDrTM1D5*c&PqdM7kCeo(gWKL0y)wcv$)(lAz#v#*2LgX~^~EFnUD=
z_IRGI$)!c)aEe=OyZIVoB6MJ<j3E`2n<mdYg)brD$MqLwpKc)acN^vN8!2EcH%LvS
zEh9HSCOjp_;{f+PuzvL@1;+Y#1v$l65NY+9Xr6Hvkm{dX7n&sl>jkP%q1r04aDGwx
zh9esYiphG{X_4XWc4=jb#~R{wec@E&2s`joy=ozV1i`s7JTE%e5n<Xf7PWXzs1@ro
zEGyB5Z`tyuwIQ1bIat3~^%yr)u&pMY<<<rzw8!>DCJua0v;K~=<Aqc7O{ZRWBCy_9
zjyHV80`W0t_=AG@Kp!31<yfZ$qQY~#xLR3Z{(P*nK$QTz315i6N!Nnsq<gW&g6z;D
z_=9`lsSup&eKsohYHJSmkZez#;Q+z)1e(XXFbpX8>P%~Ef}O^;#Ai#KAS7~&=x|;X
z#&;b)&HsS_Zd3h)l?-lJ>tc$!iitz(xRP(t5dutk1lfCp^1>Bvo+0H<3FzlYC_2tT
zfVn5h?K~IxKn+W6wJDc^Gc09gLsfX#R{SH1ktYD$W7L?4Pck64AUkXwhlg+PFGM!p
z5Q5q|@l6uDJUl-*-7J3=4_^Kj69>KugOsXTTEf<xc(sZyn+D+_MMOW4-&_>_s1_L*
zvu=kpjp}!TF?gsy=i%DeC<f=kjuOK?m0_3oqC!{=9_~6GGB*y9fPg$J0m@Gmn14T=
zyQoBfb!d_OVJ-!JMJfR;=hWcanaZrV7X*-#yMJ$#Dg(Gdvd@~b22|<QN{=~ef@}VI
z1DAyy6zUZ9S`XpjS66<P;tnk^GJV2f6RrR}ho+kTzR?7w-g)g>ZzAkY)?1nJR|3&r
z2DjZ}h+w41C6wHz4J+{u!5*)+LjW;LUCEaO7{kJe89@eNf(&2%k}|~hWqr+7qCm6l
z760){3e>uty>jlLD$JWA+|8_1aN>KiLwbw~n_~Jy4Ml43azE71ex|~t&C2d{6FQg$
z*3)`qG(akM;fdpI8cce17~iPSfpWES-1%@k3`y_AnJUtu<YS6PtA`%cJnG?6>?VM#
zlUp?7+Sd8zqI;Wk1IS2WSLIUFf|5PT#<aI|NNo!rs8Te76Av#1xLXmyt=-P!+Y>r;
zGs>?$RWJcP+nm}eYi)RPGcTC1gAQ5QQ)Dd_Gsy7T_ThyB3ADn^;~|v>&1x}=r~trC
z+o1}hViHKJAj~r_sUUypLx9=_fcVcVb23}|RY?S&(-A;{*z1|I;$7zO$B?n6C`^Wu
zspZm(liHBTMG1Zt$AFr7&)aM*B-kka;u82o6a1K2R*4!+=uRqRZ!jhSDS&^wi-ZQ)
z%Ep_#yU&CT<&XDUk7<Ko;wP;qAu2%SPw%+Z#e~k=jEhMOBHUmvy`xg42zH$n2|P1Q
zkV~1FBadsswQ8}YhDj+1Jt}g=Z<q-q-HA&V+z9{$yEO`)h`_(kIbF9(m|#hf7qTkV
z0Ls12P0uABSSztx&<|k3M8jI%{dqNDkt)*f(!@cuwCnOc0VdRDoqbrXrV2K`^Ruqe
zQ;2M&O!Dcc3{Xp>*(=y9Lj!WzAXd5xX*neIR~*lP`m2>PS8gl816`?lt;>U`dvs0n
z&unve@?V6F%~N@3qFgU`pv<6W1G3}o2<GrCvWa4UKnB|Nf**=rSwt0g|1xIF22k=9
zuc6Z<L7PT28sb_*(_Sbt>ofuKd`C^dQVhm#`j)LqY@+&iUfjqyiU4*fEiWKxYd;>7
z9v;7l!y<V#v)%`qfmZtz!_Qa%PL{Lezgos&-^}cLqhd^<rS`_H^>QBQP2=H8Rbasq
zg_JrdTe|C=TLbUEtS#QTd^KB?odtVXdnYNm&lvt(bU8A=#sb^;gFot3;xIk~y0ee4
zF_d<?enLIhk+G=mSDr37tfP5z9&cj=O`8JICD#{`^qYrL!}~YU`2EMy9ODh)VT%%{
z`QBONp?+CBVR-|!Ih{KZ(Qg2+Z@JP`_e~&dQ%5^K%Wt4>&8CiQCmVpBxl@Xuz)xg7
zEo)clp><UBo6wi`Xnn}(;d}f$unVcZ^jjKNu!c&q7?CN%da!wixBEd;4dRnOuNA1h
zhBC>cyGJeb;B@j49`DHn^m1#)<>}5<R8@NC)x6ib5McVUC(NZDJ#YwlzMj2`I(%z=
z#gx?rzJc#&4@iGOcT4_>63bsj8H;_ZK`}aT;`MnuuAF}K{tzKx^VceR!*KtE5UUQn
zi3+gvuNgv(bEvyz_OGECmORGuVRR@Kys%p*U<4iQo~XU~cMW~r+N`v(ywzt>_IR})
zztKcHTT$=ob+q3PpDuQh29+1@Nn{cKpnKUKTK;a{K*IxS)l^t%py_jn5ki?pv+{!d
zD!6c%>G5DSnHVZW6ce3zYG+XE&{Gv-wK(ia`UT}FX)4$?RqIk5=g|D#T`t_uS+KsE
zy3*8F6zIUMP2?@iqk818*N#7C#d=Gk29(Vy@Ybfea3l2}%JpLH&eeBp*tx8x3V~uW
zq|xVteeIXfE7d!1(U;h<BS$%Va;Hcjan$9ur0NP<{XUN8o)ag=>hWjMf<^*9(yl9V
z0&D2<6I5{R7Z(=l-f~myk~VmSYIVg*ZJ=#^Cl1h)c`y#2J3`0)BSNB{x08)34m(%>
zG}%0C8@6g;LAgaF!hcO!)gKSAVDa2fwQt7oWA2=JPW)TkQ~1m_+5G`4#vM3bUDYm#
z8Oe=Mud--C+vsf(mL)a}(^hi`(-6k4kH5{#2-Ae(DXFZavmBVnr$8O^C=u+QdH|Or
zize8Nc&lu|F=i85>k`Q#hV4;T*jAQ6fV(bE){I_mEI&7fz2KQRcKh}FK|UP<oNB-|
z@z(KTrgpwMR$h`=MG5QKv7dNIGGMfm`uVVDClaV#cG4L2-lKN)OgtQ^60P@C5yXCT
zEct)&m&Fe9Cnv97z=MU^TYhG%5aw)vU3vIM9@~i9abe>G9^Avjx9O{kVA9_w3lc??
zu*QzN>;^t~F!~;*dMQN|<KJIb6MJGicCP3{4Cxjgq-W~<X3651xK`_!cAGL5;_F*7
z)3mjJ^H~n>|0RL#R(O`{dQcVn-accaLMK3t$)gO>4^r5&hJ>isA2p0QF)y%MLx40l
zTBTE&47So)(4CQ{f$dP(FVDEH2~P`;UaIPn!<5|AgRPGfutAyE(u~VmaBhvMq$;b3
z<-{O0a{5}Bq|y%i=OtSlMVOl_#+0z2L;bt>#I&)+Yv;ZasU#rSN$uUvu8ch&+qkzd
zL&8G!UTqKlM}}wIA3hD*t6;NC6+`vo6bzX^5J}*q!l1NXlIUAijO)KoiVNmc?Bw%5
zpPm}iVA`vkr%X~E>uy-0T;-=>H6a`hXeu4HjYYe}hihO>jhEsJD`;5K?x_M^f-YDO
z<Qx|s#ACtQlR}qw(y^oUeb!_BdT`%Sy30mi6Z^(Vk-qqtj=inUpH?U_fC^sA4DIt;
zn8mp8o!D|ZrbhH`IG1e%Si4{5lSf2M>XJgyQUV=2qd=%i%{76c%)uqeIBl%S`#+M4
z3LSgmC5Rk+V+LvBUncN&Buu53_-fLFhRr8Z`QvN>F4*>bVfK(PGe5-F)P;)ezj&$K
z)XW^{*7X(FrN~%hdA~d+NWp|;%$20Jcr##iqbib*jD@$ZI#Y$Uv17c($L>}!Kq_{K
z&{jyo`kz$>rsNT@k(jSR-PTO#|H0?u%tyj3MtH-Tw(_)RJ=pQaYbKoP5Y#*;uZ>wZ
z&MzMcR>qt+vEEO=m=L97;Nbs93oD3fjcRL>$4cmao4e+j@Qb-Gd;FRvCh)@1V856o
z*5d0W`>~%1)9Ak;-B~=Axl7HhWl9K}S+KJ^lf?x6_>`bMW*XR&LJ_a#B~C1wbGYQ-
zAtvzHEE$TQRl{Dip6L6ex{A_%&v8f2F@QUi!wbz&!OYe=PUEUa(7|ZW{;DesD3CVj
zH|gAtja7LlpUo&mn#;I7B)J$c`1pj{8lMuzzU`TCx9uqMIqDQ^&UJJ6@=xC(_LUr_
znajTVCTtG*RWtdcnA03`xL(aY@RG*PRvllj-LZ@WEvl`hMgzR{yI<{UFM(x=w3((k
zt|O^r2@?(;0M<x_nQIqBF>?NUe_<{hoDldKvLugyd+c9rudhPbZo}B~?wvUJaIrE=
zmu3dTcir9ByZNx;>~M#hx-5YIv}e(3pD8@VzpHo}!i{~&$Sx#Wut3>k+;z(k6A1p;
z=NBE$j{OnrT?><EfuP@+PRr@W5EeiQ8~lUA)ZJCRV_I<#ac<<&Qm+y8Ja+9*yReEb
zbYxVwdE=n<=$u-!v=Kb9ceB4$zkn*#2wu>b*+lAW5-aA88iF~`-hsyAX>`Z_mhg3f
zO@udd)q5t_00hRH-35Hc&@1VDz-_dFG>DtL+=nxOd6f-G2k#%KN>CH|(WQ0dfm)|Z
z#u0ruW&3d7`=kz(>)xT?Dno0?ITwMF*fKphc7I$uGPe}vEwYEcfHfqHq_X#;oE|iX
zv(8_9QjDBV7kz4?wuWTvThv^*rVHB4w?}gDZAf5LCF{9uYsl4&_^#h`IzYpF2qrdk
zBme1Fa(`Cd@+akN1bFH|r;NnE^anqXMZG)kR{gi`T~~B+=%<4R(_FRb+%Pg|^35KZ
z_&>KL*MuLYLv@R%RiVTf(qHoO)W@`SWS6I(&!;XL+-j8SZi$*e0@Iur`8PI@C$rNA
z3Qja|%e$Ij(*74w*}sF^CTA0Q^;bN?cZdoNJ2bv6vCkmnz%H-Et2lVH`*;4+04m&n
z=Jt2$@hoyiJ|re#FAFfNzqpmHQDBxUbRf=f9=ZHG_N9eBE95;m6!Q8W1%jBzHk0}n
z5V}(#hmbiN!0APwYw8q;9FrUfxwnY47(KL0@Mni_lXca%uae<9BP;K$-7-@0zGUV7
zdk$DKSkBx)N$_F&;rd$YDl!t|9$7`<f-D2s(KrqgnCVDrUn8y~&xzM}X|-~LmgG$C
zHCt`)woTaVv)V*X+h*_loWu*35B<_eIYiKQ&+xlej{}}k4eqf!d@%G^R)3j?2yJ0M
z=1Os_aFxCO(4P_kc$qMY1q5k<^J%M}HnwbV?ZEl${#!yY`~5hN?x-f*TP$dyRI_jK
zpkt0{moNkb&?n?QHDP~?#2e53oFF({JoO(#6pVIWt5KODz^|K{?usnj@NGEWbhb?l
zbOrNfLv9kl|7qmOH(fkXQok%BenkRCy%IeyQwR|Jtq7OWwGDh-sFvl2rQpcWl=H$U
z9<rt15F^+HAVV^6;ph<=Q08XpcE7<x+sv`Qf>a@h;ynO<*W}=N0b+GC77r3PM)L`w
z!jS%A&7JqV0&qSM4)2J@g8{{p82ViV8lTEs;4D&tD?U*I^AGTVC~q)+xr;$n&u77I
zA!S&+^02I+9uMlGZaZ{2C4kHw!5~GeK;zma_QNs+u&;>P$<ZVU_ZLd9WQ(eS<?i*$
z=KBONxvTpoqfi>uPTbh5Ql<_(>BQwI6HPd{{OjB72U$2n>R}BG+~Q{;`-uoiEwB{F
z0;zxGf%G`>v)q<n92b*adrRja4LN}$ib|04ps`Rwln5v1)*Z~QXv1-F&prH(+hKdB
z|6aE#Z3z2RT7FcX41BpC2BOoIVPEw?Ky^JC;`~FpJt8S!CUviHc3A}|w<GE14HWos
z?+3s0Gb*r--0_$^q6UM*RW~yqQ{mFDgM)j<X^@=yRPa}&I^f9$qmQ@xq`X12?2)Su
zM154R<xs%`o5jhSnM*X-U`=-ayrv69aVB%h5d_eERy-T+O9w}uysyM6eF&?Ux&NtA
z6If?{ajd?egK-O4Lom}2*n`5XPOWLd$?mVSkr{M&qImsMXPPne+7W}Ad9<Of?Y-MM
zCpygjo3(0tW(uZvQcK;(wBaB1-hfO!4fuo2VoK8xc<ekbqji@A9}ls`W{zydv+IPi
zMKyrb?!gBxvm~H#qF<&zP@t^0eBbm_a~R0JYi=yCl_v%ATdP+j(ECuNWN@4TY`o6W
zmHi}m{8ptdGDHh>6Cdn%Wo1H073(YEV<h-t?3XIMssRI+EcX>%V1iols$b;;ZP=gV
zZ~gVCDqLv49m!SC1hRZeP53P$tZV9$<Li|`eT~ncWSj{dfme_k(1OEqhn@8^WuSZS
z5#5ucOql=KZ_H9l0Gl5Xm)`4%!Lh^;?w3_exGTyx^;sDYN+V70vOn_ytFg=4dN>ox
zt;PB%p6XDs{B<TfhZXdzhS@HwF#(^uGMkyK3YQsz2F+aai0FY~AI0|!*k`T&v93`W
zoDbDTH8*`l)*j@oneSx4p2x=58#a|78Mkg-;@X8e-#IvSxxpOHTuHNfbX5UvTUi=j
zD*uBPxzPUJwKRv&11#a0nzC@#Qhib~e*t|s;3;a-03fKZlN*PV0<ODL`%XSzLH`C=
zs@|~zxFwUUag<ja&ilKw9^&0V-<ZwrdY6I#x=7=^zefb@G$f|yq;c4%bEQh_ugu`o
zK}m&Ow*^77VP_X-Ar3pagH^w##uVzJXD_~*=7ovF*P3l7aF|@~`8<~q6Htln*|4eM
zgq`u1bKpA;!@awjUnXP%qjtw6frSmk+iYDYpKsY$X6tV-jiI5rvfYcZiD=vh&xgBk
z*g>t?&|~37;N<=0+lJvX5*_;UlSRoUdU5{X=Z}~n%y*(bvpsXjC-&F={Oud)snZo1
zI=qHpA+>$4l-gh9zvLTykEhqs<B}vfBS!-e%-1_;^YRzs!?QO*P<b6q2$owsQJ@cE
zH^>!|W_`#5TdK&8Q){RN_t7&4`1E1sa3Jw)K?^b*lE`)Q`zm_=1s|3bpa*;+A(H`S
zS;)|n&*r4_t7vbNK#FXqF7O`LQ@bdOqB=|F);QBuRQb(@n;)VJq5nP*>yNjiUQv?`
z`IJ@ExYY=EG+zhQ318=Evc2fZ#abf``&Cpe^La;|iVmdSNuB=9JBViPm?&z0wThMn
z*`<eW>Ex#2k%wUw!{}wB6Xl({YpB`7OHGHR>7ZlZSazH~hI(FKKaR|=p*K<wU)`BZ
z1M7RAH}^zLpxB<BS(LGL)Oq8%lcpjKoV{K`%Im*qTI~nde<GWx=ZMk5LKYQ-+>BcH
zjZULPV+~VLV;ol09Nv+lLj_uxLquQ5EV_UTs_Efj!5$mV9~Y~oK=g`SOcnP$dbzWp
zdE*}o_I75Ek;@SZ)C?R^jmTU;Eeb-ErrFrAbn6$NW{1cyLcMUy>A)gN{ZvjrN@K^4
zUDaLwDMJR9X9NF2gqP7iLV$)v6bFW@TK|yeNP_&$*x2sz71Z)|qQK-TC#KMNLO<fU
zHaM){PTd?@Lsu+bUmZ)~#^QPx^&ia=fh4S$oV>n)wm2TSsP4s!_14#k9oRzz#bM&5
z)TcNsY2nQ7kz;(A_fg;y%hLk$-RVLuJuFz8@1$F0i~yDkG(A5lE#T))a_`h)!)|rt
z@7;S&2rKt6yM()|3Bd!_y`#zO*p8Lq=gzglSWJrwUxt7tlw?|kJR@*o!R3NaI%uMp
z!U4IZgDC{KlFF|_|Hg%VesN}1yjlz+>)h%#(<MOP>x`78LLSVYC5|mCL;|Zel8*Y?
zj|Wp>W8-s0+c4xj(NJu^6edP`z0#J1hur>a7EV9;F@uNN)NxxGY{T;1dAd6u1e451
z%C-w(89zFZ$B}XvqvK(c7XuGO*9SuT{DrXuiKixhg9=!>>UENt5gu%uIlr9vEP}<2
z<>x#qRl@F^uDs5&7Y~;HYdRx`#jw?J^;RWGWsLvBy{XILcrbJb)OoQXj*;t4hp*jJ
z!AkBn2g-iNgV|F2kY$}D*6{b`-jhmd7*F4)s=9py5DXl<r2a-4d-$NCr?^2KGfowM
zAh<$+L=jVebxao9Jt+&6Xgn5W^PxttTN7w(W*xC}@|fn4DxYKanpmGhE6sjd3wrur
z%=oG)VgCaF0RR6Kmv=nX@B7CcTV`g+o@Y45vDf?Jh>Ro^5sAtyvQw1She8^JLL#ZG
zLX^_`wns);`BD*OMP!fg^ZWPp*ZsKe`@UY!XLr$)LrUrtB!5BjL#d?-jOfc8RPc~N
zGgtOi`twtfrFx^t`Xm*sPa3iM7s;XojGg7nj4Dzh`c#^oQ3LNy$&26E<WYjEylLfk
zHI&Mm;@f{q9UPPCdQ5%_sD^Mm!l7Ipksb|xVfv~8_bbwO8h0t8B3akB3Sk;3ST}c!
zcvus*daQqD=qsa!_Pypof;7aecWbh1MGLC1bFsZ?M09v__Q~h}XsA^VOOmeD0kbYW
zkA34L#1cAswW)@NXo?P92MYC|=*P^o)ou#fFst<{_&`I>pVjPR3Jri!zW%NwSp~%(
zx<30lh=v9q9$aoHH-ZV5i#iQEsHpoBPk=(d1`<3eq#E!RgVMvjeqJxBD8n@MkJW-Y
zT1yUp!q*9K_oGjcgMca$`kSV%SFeUTw*qVvN=(3#`-Nc>MHM+6FOvD5Pem8I(ncpk
zO~LNmV919RDl)9=I8p3HMzNzQiB3Xv5E~@7M2AsP@ho$$)u0mcPUhUL5>JQeqE(58
zXDaCTo?-rzI`Zho-wRxO`{-b@??~OXWC~K+H|2XgNg5rGiW#A-(P6c9pMKyTGGgd^
z_Hso<44uBRv!Q%pJ6D|l4YfpMCh%=Iu2cZ!rQVrIXr%-DumDeom@*35Ayo3^11D+`
zKbv?ih7NaJO7EH;QADxJUp`hO5|CLe&#4z=I%NLcYPF4#M}59wVme)aao)PQBUIcJ
z;;yfWJ}Qw#>{XHUG}~4@d_nMTgoP;#<@8Mkk4U4bjFcYs%0cWAvt$9e*#tgZ>W=(w
zDv3Iq4onYzo5gh6)W0oRn1BbN1mpiDhU_$MX|tv-V=<v5xu*>PexdII&B{fPeYtH8
zQ^-Gz3)x-Nw%DFO*+1*hdqFgvDtXPcVGE0LU?k2bV?b`-mzlG+6QQO)pJRU*V03(j
zCp6a>cJc2&w(*k(-J}cjg<K>+P<X>zRAmH7`_RHpiydhBd`m_6D+28O@tR#^&=4+}
zonX@6#ftpC&NTF85x~acjP6kmL--nG@44q7BT{e+)hTr+Kx}ruijJWHbSGH<@fg{_
zFV6@28?X@IMz3hUR=7SKOnh+GtZy0r9zCyToW=kgA>x;M-s(YbMeV7W&^cTsFQDwP
zG6U%Rh|0akqzBOhGxQ@4zwz>FDjg5s!sb%{cWU9FF4$)kIA(MX<6FmOJ0?mtv8z`l
zJpOy312{)(&D7;yJZJ6BgIKOj?7~9z<)5rNkl$;u$AY&8w<y!J?Tg#Mcx!vHa&K*T
zKXLWP66Z6_27gGA(%!%>wjk-^4lQuO1t%gNe#F!lf0irrZeR?1rYjN*v|z82pG{iA
z7ffVeH&>zP24=J*a8;~86Zm}H%%`=7Fn%#S^{L|qc8}k*QBg({viW2rd#!(BL85^V
zQ(HDLjbYB4aSv!Pdu7Yrch@);asEViQ}8C%=C1Wxc^3`DFV*pF6#mA}w-lWBKeUAj
zrF;AROw#}vK|P^!yJs++f0sy8+6-WJWjXPMlm^tq7KqXH{$i{fuUhJd7@)`*yL|e&
zI;eY=D-M32!>rR-{EMCuz(w1cSw=@4m`-cCcwJw>%$I`9YZ4j3>(001bxmr}$H~Rn
zt+9liq;OR@rZ9m-hG@Z&V`?Bd6YbwMwTyjevnR4vGsA<`me|%ARcIG+dGYPdD)y+U
z@l`$#D=_RX`?o?;1rFZ4ev9;VOi?DaEbs~&_@=(#Ipt4<{N$IC4(S`1ZEsTcCrJ)q
z6?bGlP^khB1TEujK5Sv}Jh82JM|VK=r?sY?yeeS76?6e-BEXJk`>DNOx!~)%x1Qh`
z3f!W<swg&Q1pG_<92W~OR4wWY{^%w{UMAa%`nyc<mbFR#;wwJ5bGkT3#)1rUZdaXu
zGqM0XX-~Av#!mQ@8>pLGM*^w7ynfPMR^V0ejj{6<08M+51TR|>tbICL{))~H6QtGa
z&lUs$FRf5c{Y8Y<_w-MlVmsiEWP?b{6JhvN72cU0M}$s+Filo*E*RbPNKm}63sTz)
zB=t;*@Jn;Tdenjk-hYUDNIEYD%^<+z%1MM`h4HQ=dp<BOqpvDG*$v~&|7Dz>P==V3
z6fK*FJ0X;7(?Vxm62$7u{;3QqL(}L%_RTGRIP@TZ9E+skWa;&>ff;3JAq;b0yCMkR
z>&q?t#ARV<M%+qWiU=$*$-mO&g#m3vruf~G1NuJQpFx2{NaEh*+dC!#=gsLC#6=Y#
zC@g?2^fwViEUHfiwuwSYFL$ANr6TMr)@*ukmjq1vPx~14io=3BlVEv(GTf7v<NkP>
z3<i!?HGYheFs~t}HK|2{z;4a&4$%~d_J}-Cpezl$yOyNe*(mT&<G{X;T`C}ZxXL*9
zxC}%e-_PRpT?N|atp0m;MimlHT+mL+lZE#hEAL}oszOFzb=mrJH5d)=P!U>}gNzuM
zw0x@u(JeVVU+dL@QkJ_|>!<+3O-17Baq3_<xOP#1iw1SoZQ>$t6(J>`OYy}X4Pfak
zzA+uC3B;@s7Bf+0@L_oT$YoFi-o_dz{u0)P@lL#nwmlD9^CcZCTN?1*Z|7I+)qy<L
z{4;mnkbqZm=$KzD4LokX>Xa_igYoo2yR~0r2<hIkync-a%Mw0D)_Dey^~%@WafSk4
z9=t507|_78{qucNjuA9u$`&1OQGr!pS?kNwfES-%7ob!OT7UG0?ma_=oQ#qkUz^n-
zl^PaO_6}eptlBcNg9;-R)2y7iY9LQ~Zq1Wo0&bVjKK0q=iwwWrZEaVnfc^Y%G|Isg
za@fTP%9T_&Rk-K!erGax{uHnAn>U5QJV%3RBPy)>ZT2}&D}jvY%;p{+I+R^mw$VAK
z0-iJ4;;U}*5Zu-rKm2+-KRFYe?N5OtwsPgdJ<`xQ?0NkD|LE|{%Y_(3Btz_Ya9ClV
z7<ea9ESGxez=ssPhDwMKvUQ4RaY+zvbGlkNme9c?A!E{3SQ!>9{p93gxFN`%nn(_$
z!=VeN(cx~25T4T25_OIV!Y;q<J1R<tqR+XNrD^hz&iDG!R?{M;R+6;0;-x8M=Gls!
z?vRD}g8@x9)xTp^g`wYK4NYNr;n3;V95OIuanCC|rUP#+By2cTn?PJ=K(uz2BsABK
zRXL1I;LZ}si%q5`(Cw+UEOS5{h-V8^Uf0dzBC<};p4S4*CR`n4P~8Q#b>|a_RV(<4
zUx@C;9)S0{j-UH5A@I8gDUOtXxK7XwJ(K$w_%`nIGK%2`f}}wHl<Ov5bL<qgFV7f;
z6_X2Jv+}`;;k(r8<Skq<D}Exc+6Xc`PCA)Ja)QU>0ZJ$v1KRt<T5!itL-_AA%W29H
zHefLi3Cv#K!n0!Zx|VqiVN*1>#4nu*DxcPB)?eSklcZd-R7?#(n@#fPm?;DFuNJK)
zb!_5Uy)}h<qV!>?O5NAy#u`>5aNF(a!UitQQt#b@>w)L%_Z5dU7crrA&G@bz8@O-!
zY^y1U9(+$|9l0JpiygnIMp2aehd=h%DWLD93yq<r{=6~cn1Jo`mqk|Vcp9~f)2vtr
zifvhH>-m3RT3XmKv$!=pps`tfYljXLCFTt-Pj+K&ruUaAQ>%Dw%c!x?X>BlwJUl|R
ztHGSgXUhwMR&h<C?0)@DEf~Tpb(4=J<6jA!4$-o!cq{++W~z}E{JQ@|C@8WX*F&uy
z^vxCAfg@_{&311(x23bW8g}7QA7w4;*;es;iyi{cr8S{XRHxf&r61>>CI{_@Ra|5=
zm)4s~1HU%SH`bg#a8zOb`unq0eD$H5ql6F*o=)!@b9VWOAIUOMv^QPDBlgEKx+iPE
zS(ml)M;FKN<+M)0JKXCy#2n0x71e;U__0`-=t<mjbx;3u&VTsff{(`0kJW)K>GhtE
zXQuH5GTuLFw1MC0pb~Xe)FGm|;ZO^47XRv>IlYv-i7zf6=E;4p2D@bxlMZM8#q-=B
zi2Rn_zW1<ijA*|aaP)njY89QwA^QhABOd_?T5Bb8x2Zz!+(CBT#|wDWR$D=pI3v>J
zW;wY+P=&(NaT>vTOL&2{p4pHE6XFhUK7YWN3eOK*+hH=cj2l<v-VD9Zj579y+}6IL
z0%aVfjz^1E@q)XfUA-Kv=mDcYb9WmB%HD=BUcJALe>h!SQuKrkb?fKKddX1WzqV#d
z;^S=|6Lb*$=fi=<b$EV56d5j$)ttD{vxQp<skRBaa-vi{YoF#HB=FlZI$bGFKv``s
z$DUs1Mw>w=ORnxGfoOp%1bZ@~05RQ-Hv_y#EG_IYe<Kl&ywY2&Zev2<X)~m5ot>!P
zz0u#;k_bz|dAiRJv7jW~FdhEK{3z_BmGOG7GQ6#&s~y>7MI+IgE&>!m)S;1Hb2d;J
z+85gkDedg2?A`s8paCH?R{V;GNlY1h11FM88+V`~hc(v0S0bpoCGojSrxN7T|NeOT
zhYR&wI!fX$5k&`RjS~^+O3?PpH*DOT7hRm!A!UCTM@~KGVqTwD0(<`fPs2$*^va&?
zq=>#GD)`+^?F~?Zm!o2$W&8M1a;UDL)d^{2|5+q=_a!BG7XK$=s6znR?$Lkrtwsht
zsFp+r3Y4JNncuN2NC*k99(t!~D2IB!cmC^K-`>0JyejKDBB;h!(MY{R9yy$F8-5t1
z4CMMS8zUJ}Bza9RZQ;BkvYZyXZ7EEIV;J|FhpOUeBz9yv%Sah*Wz#wYr-|@k#NRdh
zgan#vlzq=5NJ3Ge^!BO^63ABbUgfQlLR#ZJapzXaNL=R6$rJl2z~Li2X(1tlZX8VK
zkRDS(idb=q@q`LomXZHZaatDD^5YlhyHrtj#)n}2PE}aEva0vEMGkS9Y5ynHuZE1Y
z*ZkGk)xlkL%(jlEfPCCfSXRAPM^!>mZ#WNWfIX{C&x;&Ibe5mxg2D|A#QMMB>-XDe
zAP~oU;+mi`>X+_k^U<QA{ZXsjKZ3PDHTR+d|0N>wcyaAhSvd`9x<|gdL)U=`Ytf{F
zeiEv`y*4{T&_pj@K9D}Htp~na5w2$>C}`zXwM{0MCR)2Au2#9d4`o;$AOFu#1<kiS
z*V<^Kp^l?LRj-d4fxqz?mKF*X*%`inVFWZ3rz=_RABaKB-#ZEJBUE(skMGR_cMTMg
z_K`II2B1Aat0l)l6>01DjmBxIqj2N4ud2BwP>towE?iVa8yyjWHL<E_Zs>+`T!<<B
znB8M^(@_<*9#2=4(xITkTEDxmOVMFQ;1QKDNJa1W{P7M>RYnOPQiNNx=#Z2fU2#uj
z`#f}ZN#!niG$wTIUd7_JCyLW|tg@;gW-L~0j9Ugd<y`I!lr#gPd!zB#YchJ4_D!$*
z%eLp`{4cyr!VH9tNlx3Tk`R9uPou7&Ao9NEj_a?`q1wr@CF+tgx;wXQ^L~*N?U&6s
z%T`7QxxcU6q)QdiS6|(7WJy5vkv=m|9O*Ey)=_!AR~~&CsdkPEn8n|IC2(AtFa^0d
z`CW4hvZyJ^nz4&qfgkZm`t2QH3iW#}FKg_QL8l691)q?9VFGt^LJ$2h0XFArqqVms
zQ4c|hXJCFF3pvd4QOnl^uDLHhFB1_*E<5z=83^l`5z~W<?4tm++V$)S?INh<uvND!
z7Xx^>8>>y807z}S*qHQA5XB!4OQ5t6z@*jk?WGnB2-7+i{=+-bX+D2n@(3eL6o{q1
z>oJD9t~arKH+aw_`HbDpNG8a?*!k6I(g^s+?hJ_6a-b-SBk`GKOwi3^(UQz=1RGrJ
zOX&eD=%}Pmb8a3JwD0Y@Y@uej?W6v}>Ng0;w{*n*m>(0sxl(mbcLQkLd){4&{~zw?
z^6mb&olKze;$(>H1AWkRb(a+CSj4>^#bstaX9Ti=#s7*1^x%giBkzRnEdKYK>SN(;
z{}_K?eE+Px9(*ags?rcOif@Sougdii!0yu<wcR1Q(Aj5`lV&o2-{weOOx^bDPFA72
zIxRXdNMuX5oov7<vuQ;Sv<bkixU0rNQ3vG5+~!@4axrD1bj8ND_mCg@?%Exz4b71j
zsa2Wn*t-KN$L~!rz{`gcw{>Q;0M+D~mA~o7qPQYje7E!YRoNG(j%oorp@C`>H;mDF
zf0Ed?y?f{M4WfUmCft%YcIB`c!#uBa6~!A7z=Gv+pRB1SNOONO!ODJP{|jF^`s*G6
zCLb*Y9(zxN(78nIZ(nAxjfaAyL3T!<Mt}Rjw9UEEy2n=1fBwael5~R2GPdWSwmSW<
zN&~jq3?nmJ=dq_jCrf7zFu}v`2bB%Bd7MeGC9FPw5xe;z`pke5GsKAO@+kkL4jB>!
z(M~s(v8a!iCaBUZP%Zb?^UQH|$O^a6qn=*HUNeWe?KNZtSB*p|&jmH$)niS1>%5LV
z3}R)jk79#p#y^5Z@oMlVlH^W2x`73o+uOv9vV&R_1NkUX4Q#Ic=n4<s!uG#%di?I(
z4%jhpSYI?*6}ZX4zIZnSI1IKv9MI;1IoqgneM3~>`JKIfjlc*po_A2O91qMb-J5jN
zrb3}IL(se_6P(&<)T|`K2PKORb~^V}AcvOAy!Mb88o!iu@>=f%o^SgKSP3eSYUrAK
zpO+QJ{IOKeJNzJA^}*v|I0YsETtK70^m!-)S!_@}?oX3j5`ci?f|NgNWUyyu-1XO<
z1A^>c+B#kkf;op>lf-y3u-{Qm5+`y3N4Y_yqMQgEMk79@l<mHDRJN;7<OZEHIH7W8
z7etF_^J{!3fp0!NQ)fRfT$=C}RvQrmGyT7()3QkroqC^#uZs_wcYSiazO@^Ey6!$s
zizGqXK0C%J5q=N}nA!+4mjct`#M&2UNRSz2y!JRu0K9e%a~FM;2Gh@MO+x2Mu;|4S
zsxl`CV%e`)&QoL|xM=q9)|2i05Sx2poG`@GOWBg{%E9GV_oV&jNMLrm$Kbr#F0hb@
zC%W+{K*k{7<1tS%?Clm7PL~ja+M5x<7c&(BZd6`Az3q!{qK2<L6WI+OtS-b%PzIB#
zB0azVQNV`R=3%OaB-ls(yQ%e;2<994_>*B3=nhn|`lu}po1gO~==o$AJ(F~HQ&|<L
zYr$9DPso5wpv@yTZxzU23?GtkQiB<dYq1d-vQYQsYeIvhDugweYqpuFgYb_MhS$S#
zppbRqkhO;zJapy@d1|Kth!XswSycfZ<)1yQtf&qjZvGRR_>TrxoD;M>q7~upJ+m!`
zE_Gn_(v(j5sR=07K$5*f35G9yOE~PV0oRm;m)X3vp@wS4E+Iq&`x`R9r5ZJ$rOU1&
zl3N$T_jb-sT9M#=Lsi`Sbq(lVcUx>|*8@DI)}hmj4DpV9eJe{E&?humAd+JMOb2Dt
zA9_$A!728FWr+s3iTWt>Trz^da@K_@brmpY($g#_YCtwe0VaMJgJ-VxIzz20VD%e5
z7PzRx)1ZxmGI87MZ|!?k0htO7;>Y2(tr{rkw3E`DOd#a;{{rmyQlTSYW9$t#73Mhj
z6`FZW;gVHXD^-dL5|V<l@iJsskm4CFd}0c2Mb#N6i&Y?&%Hi~KVVlF2yq<0f)4}oI
zM_1-`3Iuwq-*$N_56yu;>u#Rd_Q9nb*J)M?JUM9PO>mHb)bq59_BZLk->><_ub%|{
z?E|4ZOm@TcjI51Q0v!lKtOs%~5}_&7p+Uh=7&_nCn_y?@@SgYS?7)T+@bty>MpyH}
zu`A8ZZ*;bMmMhfwqlY3qGkFvf{)r8|=Rj<0+!VNa)ZR>2$iv^Rm7f7qo7hc#^~(J>
zOu;LBL6Ct>4(jIqobjEQ#iXq(Z{3hEg;O3)mmeLG0rph4l*FMP%;NPx-_&yx821ml
zCF?B(D_QSq{+n*aEA>7a|5G;sc{|=>XXD-AW5F?aMduf8Wa)DH+%|6z&MEOX8;SyX
zaN;Rf$_y@hT|?9#0|@1J{!!*54D}tY#_?hEI92nQUdC+<8f`U7gqsDRKQSRFc6br@
z>rn|4eP#@H^F0Q$E<1rGl8a^Db{RMFe;g6iU<A7_#Qe6g<^krojC-Hvm+^p8%~pC-
zh7dDicDC4T2k1L_`#BI+aG9$3n`xqkV6-P^@?bVAC`Uc8lg?Vk>uvg8U9dF(&GXrk
zl5R{eRX&D3{9VGSWAD~8Z|cJ<!nyq$Aq;SenKT}}a|wU@rANM?O%F7u9Lw%ku47(R
zLkWyRi@2B&udAuZwr@UA#nok(u_-?Hvyt2j_<^Iv_?D+Guu4Vff99XZp1Y>cF|*I(
z?;{+e{(G+jK{@Lpfg67?!3{Rz6`nc#xZ<0lOCmZD&mo_D=+!t@XDCytr~DVsd~xbd
zdbl>QcD=w!$|G29>^riP^DHh>#E9;H)q>tI>7d4>uUIt8p_OjC8QjCExLws;3o6d{
zc+;7?G5y&owKK#&xahU#Nor-9u=x2DoqxIsQ?4vjRyCQ%oy&_3dMj!|P%UXhO}qk2
zC3Djw(x&jP=iLMO=`<Lc_@>69<%u7YO%18ln8Jshr>eSzX;6Cid%_czay-QC?~7Hg
zDctkVR5D81{;yQ?dkT4V_&@_aw@zsa_kV30XeX=zRty}a+Tm@uu%HaR?#dKCXWo6l
z`=L5`myEEscXZ<1X9&wx64Uq$?a0SJa_Zo~a3R?KNiVM0_^GsdWg0J%J6PFTtOo8I
z(Nlre{kZ%{ri+E(4BmJziEr9i4aO_7ga>-Q;g*7ndO82kDUXW%BC=J%IDk1b@c9tV
zFw|4?g#9o6<Ydaip*AYm&Ja#`cn{;p=7{Fl`d@s=<`m6#Qw7Ei4>+Eo{=`*RE)@;$
zoX6F(s?)8sRDgKLD0GT2if8%!jyz_&fG=tAj?;oDu!Hx?3d6)0e)-x0jF&9pyYu@)
zSIWrH)BmTlU}6HF3VA}5HQj!<1t0$xx9u+xLF9jv98<V}*yBl=treWX%rt(?ngqkF
z%xw+(|KLY0v}Mmtui><MpJvW1BBbQx*}OeIi_86b<)*uH16O>0FqdIX87@!fd@CyX
zi(lk!9v}p4;ikWfj(u@b2CoN1X$6^i{D9X~5Hl+QT|Ke7o{uZRDzQ%ORq+CT?P%Qv
zzHmlV*Oq6JM^=I;|Jnsbk0qRFb31p0n;DgR*6|azduf8lsXfPV1#hR%^$WMNpyy>v
zc1$9Q&?Mb|Fpa*3JNNG|$$rO%I4wI4ai=H%t8@rM--Um;O}{|s&wdV+a5r8&RZ;<F
z>k0K~lbiUiB2k}gH7<muncEl?$-@g)cZG%)1~i#c-O5wLgT{XzF(@^c2WIM|?HLnB
z<k@O;{A3FslKc8ZWPDr>e#xkgKlsXoUa|;qoN?qwH*W3=TuPRMu_^WS=|?Q6{YZq#
z5l%t$!)(M_Z@(NEUXt8ro5+TKBpDr!oe)9{55%Sq3(G;{;*NJyMI30ku%8gUD1xFR
zzudK)mIY(SrxU=$h3+q<pZ}~OhMcD;l!#tg*y^gIG2P)oCo~t1v*hkZrFp`FwcWD7
zc88(jb`c-CeJWi#e7_VLeRt^L-QTis3OnN9pv{k1luByvh{+(YilV^<NjY$NYWMxv
zumI9bm>bt9kVO&arWXr?<=|>=%p1kmLWor;*Kfb8Ji6ttRcSLL2Zsb!o^8GqLDWRv
zt|1jgwEWEVk$$Q?NGZU<(J!J%B(3tw&~9Z^8XtPOHdFybDvaJZlXs)6r!z{^N+h&b
z(W8m?wjzWK6rB|=kVHvlBG%unD5&~(wIIi=5)58B_-&{_8ZpOv^jch^B1OjX(^8L!
zFs0`GY_F&+s$rITw(6>eqO1E_ho6$6^hNzK-!wVo^WcQO%6WApoBLtp1RoV@4Of2{
zkQC5iyN&bW@fyfa=I&@-;5L7n+xcRRifC<i>w5ML8dA9N;iDVB2H;e2nz^qs`anIf
z@1>_E%5zkDJUB^%XYU%>OgTv?^tSb{WFakdD)kZV^NJS4@ee<yWsy;!9-JwU(L%5z
z<`P+37raIaRLvz+(EEmo8(BqKC^dho^h&BeaJgLDsT@j0-J@jd#3(IPj`CYd`HaB2
zCquj-O%)Y3vA@;$t%-ivkI@w3FyQ;9C*f?YhWuH?I-}-kXdO;Wom>GJF0i-Dk5xk}
z1^O4n(lk(CU1HZcK~rcr#A<cxsT#_f8Cnq=RYT#TOY`5k=@59!KPov%4Gl=sKB|9F
zL79L01pWHy&`@Gun0P=9xipp<Iz<!F4;3kVBFGG$-OITgQl*O86%Wcyt;r)}yCXJJ
zU1o4WdPw2O_I+d(kutr`OQYr{QK!ufGuV=#9ax#CAjynWKThXe==G-|4s6j3BI8q5
zeTigL!?@2yD}WC<{A#})jm%(t?exwQszkKQ;@+*~Hb%s+ysww&Z3cP6X_ezbN@$jF
z#4hpMBz~ac=alHSr;Goo8^)&OQLJ4iYiM;p_J05X0RR6Cmv=nXUl_;jjBD>bu6>Pr
z?frdRTanCP8X_4<c9}(@h{(uDN<$f?p-8w#AxSb*h=}Y>i1_*Uyk6&=*Llw8c|Pw?
z6lNz?A7BFGlP28!ND48lVduJM{$RzlE)PP6$-wgEp#Z~e2~;V^_fz;YHRP~u{nD}~
z1FgF6OqqZv>JcA5jJwGI`kU80Gb@cDN8@E8gQ6gka5&to%Ek;?SC*zIlE%Om;h))c
zo);0dOPHgBaZqU2Cexh>P<q?Xotcpf4Y$3wso!FS+43G7H4Y&0!Gu2hTULZI-<!=I
zWP_KQlOg527<8=tx@Ww!5Al?+e|iAykmkb6(kEdAu56B<!z*Y|msS`h^#D7(8Y*NI
z*EIy6uqig{;Vnu`FV5hs7(2AouC#tSW&oCC7Va|+E0ha@2YGYa*`S5puzo95A3AiB
zl?@I}P?(<4IvovUgTj`UNAFtnAW`-2*Qbiz6#ty;o4>f&U`#Ef!+=!}%3F(sdSAZ6
zk{*xv{c2zZZB-xPd{<pysAvf-JU@V0o|jFqNo0jfMjw;#&vYOovsl>h{si_r-}&8$
z7b}?i@CzBT>cFJ<slfrOMNGMAuA|h46+VwK2c8PjhWPw|Dz3w;SV{hxwpSV}I0wg@
zYYb`u>4x_74UP@Ws(p>r|AQ5#mJMA0v(bX~p`D`hv0K;?zqd`o&U^2A?QN9Zs0nJ1
zl#jot+QINa(cT|6*`U|$<cS7jO;9afc}+h`1ycL(E2^}zgX{D=_r^vIke+B{6gf--
zb1E7|2A&*XtGYIjZKDBg4tZhg&9oqO(EZ-%Uk>=Zc`eIeP#xTx{w(ei=^=Q1K>1b)
zC!~}NNVW&6!=`FNj8*{yBxH2S(gtzCYQ^WRvn=W$r|~4pn3WM8RFqw6KEw^HYzxcw
z<!V5k{Q7A4RVK*nou#>VfCq4hc3-`N8sz>nx0~l=f%R<L7!MC#aGw8@O;4i+|E@4z
zk9vXwu4MivBbj`leb!{)MimM2XG2CCkF&ve+Y3LcQGR$V?eTgzlmz?ILo@F3aKPw-
zGiRZVAc#`WmtE2$!9npDVKGKds6WwOl+q^zEL>3>a!e$6dTu1$kA(}&PyMlpixmN}
zgN$ZbBSfI7%JHL-;D$Lxu^K8XF_^kCF#5ES2(zuP6O1i*fJQ$_{l0(%gnjKUj(kak
z1RGIP?@PQeGX2jgQ$!L1G?n{>D~LeqNs&qF;)6F_soSfnQn2OnWw@`J2rE-3T(9Z~
z05zEu$Z3y<CDt=RJY7WS!N)Puz7hnXpdYX6;-taA<?OoSHW7U1LZ*x@g~9gKsn<qz
zGSJgjXQHV~0ve%4CaGl+xXh&FsYoLSY?<=CCz44JR8)KC?{hKe>nn-2u#pGDV#cQl
zOC%7!UUC~Vk$~f;V;}qHD?rXLSG{qd8caU#j{Tw~2~JAUG`?esa0Ius%*3b;*Miw3
zNorEStXn2IF0BM|gK8GcHR>>Ug4M`V9S>Bzo48Ys%FskVP_dJ^ryte&`5tX)aP|(p
zZF^b;xW;x$=mRw2ZlIO4oq-G-@IDsJaZDBVCq@LE4bs}HLrdt6fh;JA_jhS<62VW>
zH6}4d8v@+FGy7=DLBRfnFEcJgXpXd7@vGB;9Nwwo%M$WXMIRh-GlmGK+!O?7cXffr
zZ$!6$Lmp=M=i49dt^4yDT|H;354#c_cgm_2fZJ!YE6R}w^c=0h%J&SQ)R)#?+f@-F
zK`rRXt}195U3x0GVhF{9mW8z66rt~cn&XKb72qbv$tUPw(D2sIQC*n;G47r_)Q^>c
z+09tHRs$f8Amu&aL;xz5oa|S$O7Jt#CH!$cz#W@RN4tXraLPD*Jzqo-8dEwlRJDxZ
z_o?qa?g9iLE>-+gq?U*7qPZdcTw}O<Ql&cjxgsRh{p8kvCj+@RuV+0UHHJSa(?d`8
z_H&hH^3(?5VLL+oSt<`1`jS4lCLB`$^UNro(~^=PufHibsZ53|Ic^F+!sQ{Tx7(ZW
zUKH-~Kf2SeN`_st2gS*uav+jo;p7@C2-_|-)`vvMfa{p$rE`%5L=JV;P3Hw`?e5I>
zHDjnTxFt>}Cj$yr*_Q-pxWKhRd{L2N462+YI*l1T6owite5hjuv(yXHhog)k-|P?L
zuM#QfXReaYc3_0G9_Mcw%Eq97v}v;4M-t3L44?YHqXjDFg3#lA0QGr7Av;PEkY1?x
z``PX;wmCTUQaT!-8le`~HBl&IUK_r)v5942A3P#O0b<TRQMg_z3};HNmP=Z%VM~q<
zF*6YuL?~?4f4?9I9M$QGj%`cW<a1xqCsjs}+-becbdDeXZtnkD@MIoi_^fbM;?JI6
zeCKw(oxuz1e3CjJ6K1f&>a2k>EkpR$UHEOemm2~W0t;V$pTbNDrXLPO8o&wT(}yE~
z3${nw%5;3EFpaBMbSoP4A<mZyhB`UGYx9DE;r0}EaTzl(X4Qvk>t%%?E_P5jpj!XQ
zV+Q-q<eXx1Om9ypA2Z!raZpEL>}U&}!!l}}=f6JJg(Ix|T>34{V41yZh!_{KC$n_P
z3@o}ZE3q)^$jAiIS@e>p)0VIX?9-bsK04519wXP5xDSM^qg0$sSFm*Ii%oK$v_T1_
z+g4%>Q1xt^z#*}QHD4xg?UJ<N+fySG4OMzTHcNZ~qU+fC`qUK5+gd;oZDuJvL<euP
znVWTWH?g`GCJD<pEs!ykdlh@17Vs2PkzYYun30C1)KaV__`A1|UrEx!chl~ZRv-Rh
zCKosB^foo%Nlj#y_eUBagyoK5qEt{H&J+DHOar3W>A6I5X&|xI-K4{d8gLF`J-7a-
zLm9)}ju+Qxpl*}(YIg$-a5TGezKT+ZGy!6p&pjF#TsZhbo=68d{?6Y;>D9rsBB8Rc
zp9a3lW`3rvq=z7_PfcSPYVbjYrD|237J{qioW>6BgCVhx!s0S&Fj1wK!}f$0j%16!
zO=VyLK}++;Q*TMo@od)NlNlZK&9TN%5A4;O!|0>0%icU}?Yu0rLkGt$Y5y15frI-V
z0;TQiL@2iyNb>zk4|Q}^i{8_0a7=#Vjs0yR@PCZXR{O#L&))K>YTo34^s`wWhL%LA
zy~LR8J+%+M<|c*8e&&SaKmXxcmsBD6+kqR}vP>|sFE4jjm>U>bqOv{QRDsmuX~K7f
z8O)o-r<*SGK)8isfPTLUOwd0RtzyMNg!NaHz{Ce9c5>|^PO1R8b8BT^Eh~75q~%+c
z^FxV`jY8PAGN46^IfX2C7|3d8Vha$2=s~>g`(kB~aA-8rXybqa=a1>n9fZM$>W+-Q
zr!tg3jO)8O&Iu0-WRDLY5e4a$b>UqtWhlJ&BRGP8&+k5#y<NE~4w}0>@s}l)fwgcd
zjqfB6sI3eK%+5(b(_BVJzN|82=PxwnedGoI03&yQMJc$-Xy6-Ur3~US)LHBY_~A%<
z<Du#ZJp4#*>B>)4h8UYbszWmZ;3Aoq{jXmd1U~<%W?5GTufdac(~pFpHO<E6?EzVk
z_QSp8PF8^@4nI}4<3vENedld@n;gVY2IXz`tHQ<)$q#%HV!*e2Y5?b=05nP2SxB4+
zkr#KJ_nAw8XRwNE<b)zLo9wpKy&?kJp)oqIqmp22UC~*7UI|8jhK!8+l7Mi=?*a1#
zDd-x1CD6O842RTC>S`OQ!GjOtn`MvjAdK#_pE{=s6PLxwsv7E0JAbWT_q#OM$qD{u
z@FBwAmY25@4`_h?o&4cu7Fl?9_gKpE?w)_&v=aQ4s0k)2S;R<vIgn$1w>lg}f>D2s
zZ<j~3U@hYE(d!=aARJ6+@#-PLl?FPM_5XC>)bSgU9+3(VV;nVWu*W?iE!Eqd6S`pX
z+bH&4lp+w5UhTH*kf7p?!{7WweTaCRtekwD0B33rO|~_Xz`obts*hj@FEecEOoWwS
zU4Jl-?+^+6=4Z!U+l-*dXC&cpsS@z5rU!}MC&FZ`+R~gdz|GTUD?qOdK~ES*1|wBL
zwDD-&$Zr65Dq-$#d;h#~(fLKrer1q7BW}-g%^24Iz3?7lQ3jUh+L1p#DnjqLfsZdQ
z8D@R8nXO(b!B=sOfNmCfu>LV-#de7d*KJQ!`id!m>Gi?+3yLzZe}zS~rJW46C*0{q
z><BQv@4n?-ObY(ya$0e1ks)PW^WZT%MTqymAA<iN22abii<uZrK;L%ph^n*#tcsdY
zZ8!@;XWnNs!Uh?f6o0BW_Q*l=#qc?GJ03{lb3MMccYdam;B8(%S-3S3nUuWOA74X)
z9ir38kXuAwBe^IIwJNXMjUMiU>vuAq&>52f^-IN_JA(&3J)W?L0V?n*{dDx{m@#Z+
zJb3tRLK1jC=xj}T{K4vNrIGeUV<@II3}N(@0AFpzx3>>ZV-giMXTNhBLx$mdTJsrE
zC~<q}n|PxSQ+Z1JPWvIiz|q0qTGGOBqSn13!7>Z`MRf*uN)sU5Aj%>&UH~SYINuhS
zv{MS%ta5)`!{Cc4qre0!A8foUm=sFsr#Q9pz8<MC0`-T29(>K*P%za#5;60W!qO68
z;q=WA)I5#8c|YNVJ4#Gr2IHfYdAsQ&atwyRzc|*=eT5ya+r2)Je(e|K!-=u)1G)x~
z=bc{d#)*S&727wb6n{}Z9gI^f4bg{fDIqbjRYr){<It_A9;NJ<7e38?sRzxLVy%w|
z3=lK-;=u*;pOk+}<7Z+wb%D=Y^uW*yT1Zu;d&F)rNSRA*Z_+W-g}?%~60OVBpmU`l
zsyD2UVmI_!F#e_vJQKx{X4H2va-Q5DecLWd#loDq#GE#iVoDF{2Dh-^-6uuT7e7)Y
z{sw>QwA6-$4tetz>l@fw#qamcruCHYr?u)wOSIs^3kfE!$Um4~?mHFy=_1Oxwfdu1
z*|dOjCa9=+FHe=~HnmNwmtbs~whQ=hO=xe>lnO~*#*E&R9*s94%u=qyjrz9+Y)w{q
zUBWG4SJaOlI?D11JNv-;(YlKU;P!d)94TDD4(+lmZlrZ#vX)f+BcIhlDY4|)M!_7G
z<F+!!kl2UaZ83aVXrT_J=e`tOVw}Y;D36IBIy;D^ifu@9G^xQaaT`gQuhUphd!1SG
z<Db~Edv{iZ%+=s$sibGz9yidRceGy@{)OGuJ?&B4N&;(RNxHm{DU62`V`#lOjuk0W
zmTuXTfT8lNU$w>*MrmV-XcwErbY3m0PW&K3%Q-h&cfBdh<{y5ZR5OiT7k+sw><kgK
zO3imQW2dl+-p4Z$0drXRVGdRQZB+<-+N$=OW*SSP9UMkdix{`pSihF6Dkw+%x+{vN
zu_n&u7xhI;m_P}kNyS+O)DvdgLSN5dziV^CVs%!qVO-BEEJYa{<fo-Q$7iv?t)>q8
znN@7~*nZ)|ElSYhxs<7EGmq_<J~F;m_Xo?LiOLCJRszDDOBTn%0yZX+{UoDu1N*P@
zZ)J=<0c<NzyL<g!#Bv!P;^%t)VrRXWS})&K1oBdR*tOLqY#-mmy(auW3`hTo<NB%s
z>^um>p5j+9!gICy^5R|0?K|U6nXLkZIcdF^3|qxs94(0KB2hy?qtNKqQ+aUJOWl1l
zw}$1%v$W<sqXAnn;n7FD@^JT(ObOHVb!?z$b6&||kAs-byG~t_gRTdmR|&40m`URi
z!Be6PP%nZ}Sk`5s)sg4fn9~;aGic?67dIm;BNwi~U|AT^<faNr_=g>({LQV<WrkqV
z2bLRaGH`~CLpNz|7xQ?XrXiY*1BKNV9>zEsurVySUui`RDQ-)pvx@A{+S#d>$twd|
zCi~U=>S-YL6W^!fRGbi4vS1=oDGiU_m0588M+eb6E6CzH7u@W!=WIA84eg@BheU-K
z;BtvX{4p{Q++93;;Rm-gQ04crTQf55@yZfmS)31ce99*IzTx3Qgjn?*S!S@?e=;~&
zQ2>7QM<@E0<H0Wucg`;Y2e~qFfsUty;KkMUJKC9e=zDjAtV_=h=gV}wcDh9%<E~4Q
zYZ@Mqx>?7`2@ViRzx?lBggCITr+?ObfCm%J1-(fBJx)%Hr@g8q37aPURIR;unAlQr
zv*YK12bph~wQ8h*mFjK6M|o-ZrVt}<I>8H4-#r5ZyrkhTVaB5Lo-~Y3Sg9op^Fu&j
z0}BU97HV=9(Mu~CXw7MeU7!|%^;}_WRX`p(UJgB{laYnjxih!=4~hV9tOcP+SP^(P
z4vSnfkOPun?Z5tyVlW@EYCfo;1bGYZw|?i!gCJ<L*HlTscU`YQjpHitUBy{Z#Y7SA
z^?s8-CN2fLJbff%i@n@_{wq_WsS=3q>#kVN!vlSd0srfxB(Uh~eVX`C1$ZuZwfRZQ
zzymGw;EUdBP&0n(z|+@6cw=8(ZdW4<_OVl!>W-<yH@$`{hwRkg=oF{s6(@O!VL6yv
ztF8f&sA=+_xCShIOM4+dudtUpnNC>^Y5=qNH6ug37Nkltz6psW0N){R^`lmrK#1qI
zVshN$|Aoi#Q}ap?&*niT@2?3G9l>`L9_xXw`J3X0Mk=t+^Ef$4UlUZk7U`!s4B@SS
zhR)w3s&Jiu%<om12Dofv<l|8oMD2JvKNcav;-#&u**EH-`R~2@)5*P@b-^xL;uH}+
z(bb#x_^5$+5QF8df5y-qkvHjfi3pcoZfpp>Bf`TYwfh*B$e`+IcSksg2+`T1&o#@H
z!KmQ%2gNrgaQ~(11c68dk0I9&ouLZQgnP7)@1Q9JzRi0U9;XWIkx_$8>@t9RY}R?I
z!W6>$+5LhJsDP^Lf8zS(65wFqMSZc~6vRb%_*OnC!IJYM-hm|nu=imqB=(rX$<UAG
zv8)70Hl~mpNSt7()~Pyn&lGsTds9<F0VX~vyX9rlL4QKw`VCuC_&m1kl*TOwE?!c%
zY8{ub!^*sTmBS{$SH5xJ$e%r~8_3&IxYI~siY{#OI&K13$cWNHuN26Bth5<=wM==m
zrX=3pxyKK`sNWXXNkBE@jnWS%b}3bo^i_=*8EWN=&O7*v0`tg~2*ZnX=;(LI`%rES
z9tw0#-D!fb8AVM^Ps4~xaXp@_BF2!MGjjUIEH7L=Yv^tt!i-WZ+}2*D0W>V0b1qBb
z0{1tD1JcYm6gIPZiIxe#F`!iYcn=$>1jLzsS;wKngwRGAP7JoAwcZ{VWrDHpqzz7Q
zRz%)brWX=50`ni7-1lc_L7^$wojRHo1tnD;E7UZEfQ~d;V#p50%zm=g*O3)fR!J9d
zyBa_a&%F=kyKC4Of%{q*BP()zByI2{NgteimzbTqXECo2tlMYHa7fMUa7WsEJs^Kk
z`u93&2-EQVFCzW`4h>|>q>VA?0gf!~(Dt+%({t;#j9O<wXB;dh#_V;W+H3KZj>Z>C
z@$xO_<F8oI+Td#Z&te^rN>Cbh&lsVk)?Rx{o63TMgbIo<8XdS8{ee;L#5ASNGf+My
zo(0W%#0bWFYD01cgQK4E5{2hYadk@p3mP~4iZ}VJ1vS(kKjw9=QogKLnWYb~ptG^v
z7nKdPfG%j8K&`w%X}1W8q9@}}W~*i>?Q>1oA15~>XuCy8$z1ID(uqT2{;G>P1WhQI
z^`r!ncPOpew&$!;SW!XC-?h(seRG@G`i*>z3h~6n-n<{oh63GcJab4I(4Kej#NsqH
z>d*I{qDf>&s#uZYYOOlFGfsY(Wk!qG?|T=tp5#EcI5vMS*{DMx^{9vVT{`6dSo6A_
z2q!vkQ1Yd0Obu!a+dj(g(xa<-kI0sDoJguo!f}6`8f=;26aRVbLoSHsKvW+WayQy3
zW|UTga52(q$p9nj^43ae8Q@0u9<^-|K9gYWFS{C@J2TpRr1wT@iw8ZD7XHH)LxN`v
z>2E9lvY@!vI(aEteCU%)?pZMn5_rZ&fMGc+y7QOvjw_8H{TFN+H@HlMv8GYCf8p%N
zqbn)x9lappPHN~MeM5w&t+Am(FE~&}*>30UTSDlZW0U515)s-{Pv*r{b0TG*PD=72
z5hO*&yZrJb5yG7{FOxdCkd2g<4<;{$@WN^LjrQ^~JI7h88~?b``w50EZVm}_tLlr-
zO&uZ}_3gEoG2%rllRM$}MI@21J-%r{lL&%es2DwO@}ZMQ#NDpwN}(xwj=T4b_vX$r
z+u9tR0HQMf*)8aWN8?Lwb1KJ(@G`zQPWPH1vI`Fp(l3%mis<$cVlol@^<5o{6oe7^
z=FpPblnmOOSTj7?N`$8MUKOsNA}A|s?!|R|Ig}~KTz6BP1oiAZA@fhfPzj@=%fBpn
z<eM+3efJs(zBqB#{jrol=G9+92}=s7k@e9-3l23f4rhI}Wh#kY)Onn^XH7t1llpT?
z6>8uhkraH<N(#-W3(-~ND<Q^|UF@N+I*b-2dHFly5#I`9l=F9G#O@bqn+_UqQ7-y5
z=SgW4pXoE?_D=<QroZ2k(a?l<Gy;t*!7@l}(j_ZuTNSzTY1h`9Xu;Jjx(gODvItX@
z#<!dzBAi4^S-!tEC`viiQN_xk;gqW1c@;#&dm$tL$x|J`NYm^+q4G#2DNa)1D-m6J
zt`HDTqX#>|HDkk03P?6J-RWWv5ivzIS8aOe1O4akv+E*?=#$syfr?@xl3hx6ptKmk
zm?eMa^m|1VUtW}HXH7&0qrTBd5{&k8WM@OKDFLY!7Ug}6QAMNlUhBoN7)-ujlt{=Y
zpf^)+zz(N^><ccF+S~vpuVKQSh=62X*{s-EDxu<5nO^&ay?J=TjdQh<fEuMnl`M=D
z5#94zsn4g4K?F-5XbmGE9FNgYn;kjiv)wws({2oJd6zD%(-P2hvaRh}z6^S{aL2V-
zkPM#~o;~{Mu86p!yoSEY;ZcqG&00NcGI+6=d!%M6Ap4pdv_jPqNJF7CwDbfSNMRj!
z-3#SWa?HT2L5&DHF0}ML;y4-n%8zL^UX??e{~DENtObyV&5QJDGcp{R3N(FlSQZ(j
zj)W%Y@Svb4+oipG_ujYqY9B2igZjgjXIL^g&{HR3#K|AVpjmU}8NLmV)ch)i*eT3t
z*S=P#HPaYKC5M(BqNI>yPEb#y89k!C(o-i0#&D>$LuH?mBx2mJNGth*3Z3rW*UmQ%
zFiSOQ+Sx3QtOxJmo#r+vEfy?)WD)?lx%G___lqK~k~2PQ)T@+F6_kf2QUEwfy7N1;
zLg>_;@x|*4^AyqCKW}l-7~n}#(np>Npyjka#rLL@l)ly<;s;+EK~s9qOSL>cRK34V
zW~A&F<-d51V-mB5;5A3Zj!Jk?gol_UzUwDtLqJ09vz#G>^4Xo|`^ANtPdgm@+c!kX
zHW>}k@iu@Asi>b$W}K)?@@q=-nIXz`$IPmgQho4Sc1LgSup=IPkWc*lFol*^#LIC-
z4-B_sYiDWpd~4;-nrF-ir8fV+)ytp<#cUglbkCU)Q%2$}&D~#=nMNM}j0{~UTCNaK
zDP}~0B96aVjDAzhi)L!hP3ge6t@Rvvhylsn-gxI`I7PYlkX2v8Oa~OOV477&dUW}e
zJMUJ~EJgJ4Yw7b3wc(bN$+Km8I^;WCQ<ufONYObnYUa+Y4f*?v<=N(FP=qgQt;h5d
zCG5nH_{I<|_-k{;$eMu$MLSiJ%|=!zo*fR6S4T7<J?yOLq75~=RKU|(H@8MPj6V~b
z<FLnZ-@9q^5f!5CpERss-=KUQDX<>?r~$NT!|QrSsP=sK@raD&UrN}<&Y?r58gTi*
zCp)|_6-v!*sFTmzri8S1iv4=04!iw+_vp8GDbJ3bpk&hTQtldFxpv)59e9T)mL{pG
zP^6{j=jawHG}(BQ-M&o?gcKi+n8@tu##&duS)2yBrHG1>T-3lcQoMM`iwae~IHksL
zjTQ;bXXI)8Ccz9pP32G%73xknbmRw)9$h)1AMO`H0$=<=XfUQmoYLj_@{bwNMkN+K
z!$AV6fSXbO^;4the0#!<8zTz)BP-ukPK45t?7o&X8Wb=`UstBhj9}>1Pcs`LFa?VH
zCVJ4K#(;CeuhekJ*)=9}eoPfsPph1^cc4Q<vDDwX9NEy~D89u^R~2lf?7MVM(xav$
zb;J!j4rC)(J1LW^0`+`H=Tb8nP;X^^08bhxy6~U(ITIQc*iS#wGBdspHCV3DjQr+8
zWI==r4_Ai3&@N2%C=<$mXZZJqD-SwWA!6RLr38^)0WP5%%xH@LafH__FS<MubLMoa
z5||DvByrZ^kUYE4w>yRW2$hR$eO6I|I3=ct8|7@sBP&`eEJP3$G=xpwA0YtuS9kqh
zPY%?>*t<jRFN_YKeR6x^5dql3++*{uaiU_3{*7v?D9UKgIXM}>$M=^h3QTQWD1t?v
zGpAP^&E9qzvkxbLUCY1uY&jm(dFS}8a=avx5e$~qyGj79GJ1)7cX*Ljfu;EQASv`X
zD289WiU3{7m!twT`H^7x`ty};Jc?i^I<7G)!T$gN0RR6CS9dtoeH6Ef?0xNVjeCtN
z<J#kQkdcfeX^0esk`i7k387RZBMPORQdvoHPYD?zWoD!l8AX!p*T3gE-{(2c=X}p+
z6z?AwWFHg5m&Lo=ob8k_vBzbnLaaK3k`CXItCqlF@2>+3?aHVjw*5vVg$6H~+x}a6
zDup5ZV>}**sklktbGF(F4W9O&5;v}uL9;!VRLc2OagSK`k!xHV;buxqhijx9eluil
zZ>m(oKOY0HUsu%xmYJr<8w%v{wDpJF3LhF)rSb4nrZgd-p!50MM>781_0PVTeIqgk
zjneOTYeAhz?&cf;MWlk7`X4(@%+Tb!+V@Qx#ImM$CT&;3<ay`k$gG7kbKj_`Vs!A(
zW_RC{t&DOU*}22lwNP(oWyQ8*x=^yn^*67Vg6=);H=N|O@#nS?N8WKgD42@B)Fz;U
z_d8XYuKuTuBO7kdK8QB})BHzXA^NH)FG%)I&(p?IsjtuL^o-!I&%M|7mTGvUsa|OM
zf;QeyPMyj8XAIxM5<3di)ln=ce!CQCW78pfYj%byC~>se*Nmy7%CV`x9K~AbF;Cv5
ze3F3P<>K~)5E_mR1jG-2)x?WsiVZ<&0D7C_M1R%N@TKGPdG3;pIQC2=fPcF=R4I7%
zGdgK_;>I)nzjPY<%tiQ&E}4UekGm<;Z5oCy$e!AGKo!k5zaZx(TEN<i6(>y^s_*xS
zgPjz7R^lQSJY@mT_Aw>1M5?3N)hR)3Ek%699~yH**Aj*dE=<p#RYR6S>7L)5^0>nE
zC}4-1CA92nQn&F|#hN6I+Ll#G)TR36Us|h&w%*as6I4Nqh?-CA_M%wz;NAqo&=M$7
z4JyTX6#P{|w{?;f!1;+A66P$HkmZ<Rmm;W)W({Gtc-L*f$9YX%BV`sKb~I;<Eld&L
z2?X)ii85n=&*+cDT^2yOLOZVBO~ytkQ;Kr;ABL<%;;p=Ca|l;c+$m%%kEdAkxI25k
zGWK`6$V$YTL%-g@B)^j^QZ?@GD7;z1SYmV>G38yur*%w4z*-8Ae0?QbG}l2?eB?5^
zb_D<uZEF$_h@-dX)dlj(FhRYq|5{lAKy*3dsQ)8T3@yHsOOu!&qz0H%qCE&$m$`R2
zi6V>_m|o;w_MIX)dbV@jjWmPe^<$R(9|TbG-j=Ma=4s;bnP2-R@=U=<EX(nQ4<BwE
zb|6Ov{3dw6t*A`AHGvMT7h_ivxiB>$vM4O<H&Oetf7jP}V@RMYGMG3y(2XVF)jOfz
z#K&h>uf5YUhS`JsuC}9WNHVx~TGMlyaJazidh(bNaC^nS>5*c=@W`cyCxWMl#KH%(
zM`ea^jkD{Mgykwj)0FQ~RNGG??B2yg+{}g$Gs%2?cyNK?TX*D9a>fL)dv^=3%{But
z;fcxTVVz?bX6I_IY#k$hmzc|P-PZ^CKxd}6`7;dHuKeAxBBO-D#ciQn>-0hG(#JoQ
z_oo;NDOpz^PJJWNqRP#g59-0xgx`pV>I9?DpybD&@vlT2|K4K{n{>hJBp2(Rq7lZA
zLTS}ho-YLT6l>xKU0rY&?AR{R^p&wuJX({w>oehOwJK$Kiw>v7qn|AXd}eHzd^kIH
zy`T7GaCzf9Q94vO_goa`{=^vTyQLE~(o1B`UiY)TpaZ$y(UZ&Uos6`5PmV>zcN5g=
zvg0Z2I*^|6`MOH!dxo&<R>{fWPC{bV+BW8lHfYRtJ*G@GG4vldoS!cJNGJy;RxYmB
zhG@@e<AKOpMv@7?g93aYj5t1y4JT^>r`u(>mkkVtdN1FT34wMZNVjBCPFM@xRR(C&
z1<M)clM>=@l-?7*Jg(uH`I>M=?WnPzY9S-Nr9F4oe{DpPvfyo+h9=C<85p{SU18Wd
z=@?e9v=LiM%8ulp+6ent0(6zs_Ytg{6B8<vT8YYrL(}i>X~3?bp_`=oY(hy=_Iqkj
zD{<1q&a|qF26Q3ThLlHliKiaRx!l#Qge|$i#fqB-r$#=N475HWC{uGe<vMMI)w8Il
zgta=13nkwF5mrXXQcSt{%i9Pa11IgoGinf=DQ^2}>^Y&Mbi-=D&wGNT{c&-wK^63O
z6a~F7t|lDMUt`ZQZzr0o8v_G{RH4T*x=a9G5&J4pT4&1#VsJQ*-0Y<Sg4bnzU3_YY
zohcihxy5}XzV*6xPL@(3zMntHJ+qdm9!`yWGu}bm_T3j=#!ZEMR*|QnpXv$W4ElU;
zLKnfYfv&R7j{@4I0}^*k8VQM`3miAydWbsKHwM_C4E+I5AGE$|CRpRI#=rOaL^wsM
z7&mDsLrzT*)4&=o8%KT}ZoA)4RQat6a$iw`=G4Q=zt!Fo<@1FPyd^#peTkav{_B*$
zBiDiF`pb6WP#Z~LSNsrh?izjIU8o{3ojhgTANY}2w^dzCL-Z@Loy^Kio=||K+h?1$
z+jSBS?X}W1ABKq$aksnMd=$X8`*I(Lb2m{Q#FQ5H>N`P;vF3C9LWcXf+q}Kc_7Z02
zdw&=Yj}m7OKYY!0fD8jClN220`-t6bokWKDIPttXYSM2+9!3e#?|OF!iAyFfHRXeo
z#I?Zow<iMS;cs>ivy{US;mj1tUB7>d2zeYJE43&GMHXJq_$I#)EJZkSczK$*nH@O2
z@0=VA1@hU|JsT$U4zVXlyqO`AwZqM<q~#!c#qTa#@pr=BS+D-ai&>&uVrKc~AzApl
zUr1bNXq0$vkuL21V~%Kco-5M0CId58+GWjl<AfNwc+k{kfvDQ^pR#+mG|bcm8a$bu
zBvjRseZH+O5&wj<CW54-;m^T!+Tm-wv%7>^Son99_~`BZx7}9?dT&t{Y(;+)E4wai
z`IOHLhl}q}7po+p!C~oI`S1+!toqQubwR9fLTHzCs+1%wYw+KHI6O=E?n()64_ybD
z&Tc2X&q%=Zh}`j9$$!NC?MuyA!VV5Ojw`YA;t<L`z?+(~Kx7Q*we@RoLh*rOQ{xD6
z*gc}uNwZld_J=!JH~r*>sGoA_nj6HyanrirBZ^E=%(_>#Zh;S2%AYqMxhDom9`6<E
zTA5*|K*GE2j|AX8O)oWcw-_`ua<bgG#|pLme!D}Hh2TMG@5v)%F({1b^mi^@2lqZd
zJ7RxL1eAk|?kTZ}LB*}XEUAC&kaDX$CTExgweB&7JJ;&Dg1?nZ!#Say>ilM_p9HjM
z4-eK+#lV*bi?s+I@ZYLV58NmX!5*7pLc+x0VEy)$GZcQ<X2`xWv9>=A6LsNli(*hI
z`8}GsTL9+0CD&hQkOvV-g-@<k;$R}t_vBQm5YR|AO{cFZK*6zwES?4lhzu?L?-+_e
z$mXnL(rfonocG=@mnH?#h0SEiRT6BhZ#h{1k^*nf@5z!~l7{N@>n|TZApujLcsNow
zs6r##T!f~g9BlfzsrI4l+I(}=3wI*bA@-B`!{h1lVEg6H)=U;TP$?+Zc+9gA*mWv(
zoc1WdP7T)lFPG#&^_Rrelb<v}@AGmjEkOwyrl_g6OcY>o@Z)b+U2V8;y^dB*rovV7
ziU0hVlz>w`hwx9<0lN>4L(FDs(3?D{z1pn|=6g>q55A{E{mt`BtzR@CT-<m&_nHfw
z$nbd3Fs}>ooG<Ff*7&)Bv%mGpLsf8S6q9zC)`O#}c=X&)9VjZszZRF(L9%bU(EgS_
z*l^qHB&X|vquV8IOCJp|G1_ilwX6@{mOUCJP8fnz;2F<$4oy&c8s<{{Lmy(={15C3
zGXc3BC9XBEH9@gC%3}9Ueb_d8AyX@v0QaSilVv-!fRyI-F$45~pOsC6Zfy>Qq4#Bu
zz0d+>=dgF`H|fB#J1#Tjp#{W04Ib40u{Q5(Ydf9u+VF5Z{iXAWCFr~B4PdVply+4K
zj0tMOtF9|cp(C5%ee2-U@e5ioZX}}iuSgZj*wh~R6<EOsFLo<3n-=)(W4HRftOz>r
z<fXrmHRK3-2$@=FLiK@*g&ogjU<WIMK51+XewC9x<M|r!`pVOsVR2z74ysV-CR@YM
zbAb%*qw3%wY2mZ9%mxE_6``~3RuKLyk7~!J3hLvmzoQI>h@?K&qIJ8hKz6;^3(+tN
zM5cVYAL}&35S6i;n|iegYR{Z4+0m~E`%ZFKdW^GSY=^*YU-3=w*Fe9~-iizk>lL<!
zJ?6o;fm08~{49YzUPVSIN)|c`@?3o61aW1^eQ9rn1(an|C(>?7z+OX6yLXYo=&<u&
zfd{t*_*e3KS_z55+2@ycCWwlnl3Tdb9$#~qX#Fi&|6TwnUsN5HB}h2bW7SS-0g&GM
zwOYE73*zN1=8hJUup!G?$<hoUK)tf4>KYsLOY8}}_Jf2gmt`k!9w$KU>#D#N%_V{m
zPOm-olZ2y+RMQI)W?;J~caO;7DT1@p%jQ7~34`hq-!^BMLi-<T8@O~4{BOU7Jjfy8
zk$_WwUcNE`_gFE<B&T-_$6Kt+R8JCK%X=zbv1AOHFY2u8T}K)36{>#rE0HkYv(#JH
z$`}gOY!*+yond_2c*0oxuPBbvqI9~mjbJ}RlZl$Uz(^l8|6|!9ilz4FLqg{bVPr*J
z)X<9wA4tljY^fJTI#d4<@dJjC<XPeFOJ&8X&S~}e7E$z_yr{j{VE~y62P1DhUWWpk
zS(EjDisGf&iriRd12|yl8F+=61K%$Ha<x+?Va9F4D`p+~Q1p{4l1Al3?Nh(D&;Lil
z=+>X{L;LhWu!UJ5K%E<VVv3TUekEZc&s{;&KYGwMy~8L&loz{wh39kq#IW3!|E^hz
z9@yU8ep==yA3BgtGoEh{$CGnI0TWt!Fs=5;|7#yVK927;`BWp0Hno&>2l{j&uk6Z|
z7KQ+}>?vw|nI(aHxcf>zT+{{g8jHk)0zv%n-SN$Gyd*|*vkAm))&+RkdOSE$2&=M7
zRLIFvDBrBOT+giw{LNX3&yNXXzib8L!hLC6Irg%dvxg4a`a`?4_lcnE#y#RugEAQN
z;=faGis)d)_KzprO%$6rJ~u9i$l*z~xW1DY>CnkCuJYZDgkqK+uRqtxVZ>Gk+m<jo
zSgfdgO4%=lhfjEQJUA_ncGdO@yN}W#t?_2QO_(_T)k~@HvLfRhb8=K$;93slRkq5^
zmcV4s`0V%m3aB9C+B<TR4#Asv&CBZ~kx^W(eCmq={?|MFWmh&Gm`WT&&aX=0+ky4R
zu2m@F?%d;<{jcfpxUV}k-%<vddV8!^QkBpr=;gTVA{{FAf9~Q<lSSgR?jJ!vWlUJq
zxm;<X3%rw+4_^n%;r7wpA)ibs7;v8J4K+s>SP$gbNGQsqeU4`6C>Ir-&Dex1ne|}M
zL7M$*hdkC*oUU?jrQ-4ztK_(FJ&@sOaVSh8V_nnjdw=6pupxfrpcAt`_@4dJR$-)o
zZn<TL$x5m?nYGFB{1ttuG<>$mF{Xg8-(;Q<EmB2~Pp70z%?!YI)6vB3>53Tks?}jp
zTn)9_4H#on25`>EbpuIX3H2rYa;3f1F!6}{N_LSUczA_~Uu{*wC5otvT9O({{=K1H
zA8Z71GCDzAdz3MzD&c!*tQvk$BmM9LV_>VTW<T4hj21hXFPUyt!$a>zC0Te);JoOG
z3@d_y`5DIR$9}2ebhX9o;~o?6vh_Q6BaMP#-=go@d#R$*W_Oky`KEA5F7@t~77DiW
z3=h7#t%7A-H2*id&7gqysocIP3dTCN83Iy~B4)9DjGX|wQ|_zyISPLNe&@sHG78qR
z#|Le=Nv!!R|J2nl6ikTb{l_?`i~*0!0!|16nB0vht}UkEoii)WS8bH=0GUvV*aBcK
zy>%hx5C!kn4|ZIfQNaC;Ty^Ck08b4JeUe!ySi*JKIWLopPabT^D@g;`88X%O`HV8^
zE4lHP7|5g6qWRB*1pvB1|5P~sDB(ZLZI#Dg%c2akznI!>0D&N?^j{|>tbac7J&Pud
z7ZtePJ-G@n^n<@+{F)-Zo~_=xSS5jwASE%G0N}vO6tsOn0qg5GM0rPv;n?EFxOKh&
zeg~SXZju!6WpDHjjX+U+%~zvhvKFIVx=m>Y_GBbi@6g+uBaG*a9G>*^1Eh8QxNm++
z9@WpD&+A+jM9TAqr32*z++G@5d{iQbZ?gw_i}D4q%{zbfGZ3&#?t_9}w=8~s{A%QM
z7(WiHzMKuLF#}pUe|xU03|1woSmg5Y;mDPRU?DIAH{J8UeZNZKa!}ZvoOB-ieQ>jA
zN`)y1M%zAozQz|jZ?;H8gmEM9yOo|p8m7RziI>i9vUZOTB5mwSxKOa*ec4EX2@p@l
z{MER`aT`zDypSmuCN9USD3DCx(Kg>}CuT?(+Gf9^%FBi0lkZ1YlZ`=bD)CqGtSBzZ
zRfPJ=a-p_W=a4arF`SI`_i_~!#ahYq8fSkly#6v+Iyk}z=E}Z%2W=L?p%-BXH~!#4
zjjtOhYO{t=C2DzkU=1(Y1!+xE7B|Mv>~3iZG6c)uo*3ix!uUPCqk1Bc2P>+1bgE_y
zK<$j~<oaYG{K=B~ZTB%=JU`<gwK>cH%$*#b-=PX&c)79E+YCO`q8u!&Vlsf{e=)+r
z1A<uhp}t)qkRP4?<wSd3(1)tOb|>Bx3gXj?F|L~w1@OfVVfSzueYhiQ`h6-z5Nn@Q
zihcPZfbwx(QFf(z;OXKvu;-j0miPLYbT9<5VUBuE%1IA$1w>;)as;u(Ifj#ZM+kv8
z)6e*qE~r1Ky<NT5$B{gDm?u{l)xMwW{Fkl^B}%7@8s`O3?%*+_u3I9wrLJN45$J+j
z_i=5o6++v+&08m`L@_C1v){|#bnuoKFY10EgrYJ_>eZtp960~nDYcLePXcW9JmrNk
zi}%!zDkX8e^02n|`e8aqN_kL=3WYH}wRFqY5D9czeDn6W4jmGjsndmP_^X%6=3$p4
zW*%a5PG_aVmNysQSTBm;`=RSx+78m#)qZ*8Zl4Zp@c3jCh@x0icSk3sLk16A+Elcg
zp##JAH-!bWNvLC#*Jo@Xhw7KDkNZ8;fs9*u%Y0|V@W2bM_ZhtMC?%D~mVaxlZhd8$
z9xsjq?xv<jlk&LksQtV4dph8lI`e{-DS=!^9ki@Jknxxw+2H&0wf;?AIgyo;m}n~b
z>@-6GODZTIv0DfB(+_StG$n<fJ1+BVd!mR*@btCadOBn=d(eOD$>7FTSDuGAmGH<8
zvZ{|I9mtDsT<gxuBJ=IaT=pzwWHV{=_?$|IiV4$oLSb^KaCLL2Ya#`IYJWTv_=^ty
zR(THtHp-(<sp^}5$Eaw@?2?)7sSBsOqg92+<#F!bshf39Dp-2vOZ(j+T?mTnX>z|$
z#?4v7H+W=K@ug>*d|HSec<(`7M_&c}+Ea1$ZjUP3NYVtxB=ljc7LQ4;k|Nfb7E6mo
zsA2g9<JQ_Xec0}mbh2nb5&u<o{is+_L*_`uk%t)ua5hq;`P!P!eGv{fm~~ah`KwC;
zXAc>|3qG{7GEl}VqL-@E64cR8x~d`9(g@N#oWJdASH}5(C;zQWQpew1hrG`!8$)tr
zs#C-s3f4XL>3zFH9Rq7B06sv$zi8XIO<*T?wWv!Q1rJ8v|5!eyhL!=Z$fu`FAZ35!
z*;h0wcDs0Oba7R~%mk54yB1RjIuUVrVGWn^^RZi*6I9Xj*>?S!>t=9?Y4FaIEGpvI
zVMECT6&%;{T9Q6MfJ3LkD}(D)Bz9b|{kofqdX3pFp&S6-wMlnxpQWOCEJvIp7X_<Y
zY*V#d05-2){_x3#inpgE-5=yD;oj{{d(Be;>|e#DU0J1I#4D<lvb-WrGqYsgss@lc
zyXWYUixl+#FH+Jzn~Y7rrrHPk0h+AzNcY$DBJpywWVnDlx@6H4<|Y9`+RIOE@>E8z
zKPN*Oin4f5c5eRYFMtYxm7gVdl`#D1&OU1!DcpEr;HKJF0ENoABd-S)F?x<WPccgz
z_4O1Y_csEhBu@z*<WfYZozyZW84`v>8(E&b15i44J~B%~0Vgkt=f{5$Mk6=-)6C%j
z?SuX!GzT(bc7k@os2~=1%9}=50>rLTI$!zAW8eKV=XPlcAZgTX+=m_3a<$uR<~ce1
zd;RD_NEjdL+l1?EJ5NC4Ezea6Pgy+oxb$QK4-b0j=wIhzAz+fcO<1==8lOc!X)2ZA
zLI*D|bB!P~kk_W&Ij<;%V-X(?SY~ZNm##6h>jS2cT)5EZaaRJ*@KFr&!a1<pQyLd+
zO#u%r>M2-?qj8Ky$J8@++!BA-CbifEM7{Zp^X5r7c|4T;sx3S2|JA+}EM)?^Q61`Y
zO``bu#_+KOGCP`N|E@_)GzR~9d6Cvik+uIS-Lub>9nTfK*%JB32!8R1x4P8{V}#=4
z5ymBUH1d6Lao~UvNGGW%`2Q3_m4<!e+Tt9zxt%pcvC|OV37)jc(H25ZMf$RJ3kTLw
zqQf6-F$Axua~^hSf_VK~v+?PN8?edZszdb~1Gp9Qkx|LLhOcs`?zShKc;Zz@YJs@{
z3}*Q+lWqv$u}fyNY+YQa#QW}9+UvDkD@`g*a1_9|F0_O~86JFSe8#HIMjwJ>sn#@M
z0TkLU;mn!9i%o(u;V0hff$EfFq46|7a*qXGF<;M*pBu$e-+Su8+>@sG>0y3MI<(J^
zsfQmQEG0gdn9&7;teo2gKl#!4i1)VRF9gtwmD+wGdCh-Th8tJ%2;gP4kB|O562t<}
zzNJ7FU6^Gr#Fyp*nB`meN8qUt9?!X}%=?ZGciA3y*`5=?+<m*Z9IX{bm5XyR)uD8t
z{7zOSjjZ+O&yT(y7r~!@R{sqt)4?pX+hg8M5LFjBgg+>fP%`mp(YJmbC{tZj?(P%B
zFmYvXuj69)#Wlch(={FVULbz#Nr(_CHe3HxXctG}3;C=``*lE~&-7*rSs3GoZRg8v
zBvIS>9@=T?z=w-xMlOC8MvvN|4;R{{(0J>WaDxpx;F7|#<z0mc-ZQ)GJrpE^L$j;#
zeB;`1t6Tf2Z-FRoiZa{aC@hCuBo+FNE^Rp1;o%u_orJZkUv}S^mqWVn(bD&=+Mrq9
zy)siQh6HVc#^k6x5=)|@Ss%4w)^qE4ZI3u^xh)>(GepMq4!6|izH5V_-m8cC!jkAh
z<+K?bQots$!f&h`Iv^9wb8ddW6!so^+{qYK#EBWc*Bu5r5aBpzv{ECDw|&h*$7Yn!
zEnTZGE<y(`#lHFWpPno_pRfpd%tS$xU9PI)EjlnUJ@$RCyBrpb*}i?bmKQeOycLr`
zr$Yp(<&oW5jxY=>O%oJQ!KZO3aA_@1E#wW<T$z@~wtdVjD_p9`5q{0H%0w52+QYaL
zUX#%;82qH?R52j-#kk&}F6{A4c9=?6z{3fly~mo>P>FmntSmzhqW(ygY(1!m|8)k2
zMVwJbU-d2*FHe0?pqiGv&{0D7x8L=TOVY5Nc3`x^$N((#hO58NE8!pi-|2~oG|X*R
zNsCZ21m)hdB;7J)yfbt5wN(ub#T#e#W=a{s<@DAM&0Z9YC+7J6yrtns2e|?@DPy29
zy-O}#q~PZ$jjz1vG^`KFm&=qj0oLfv4)f7e{4KztT`5mPqj*-&3-YG$LN@B)rx7Z~
z#VV&!j;o_B!-309$_&bU4*IWZt6)^v)a}o4YPd}LUB<~tfclY|s{FkwXlOisYjm$F
z3T8bv{W44dW!2B9(nkdYMDS4IIu%SvU}>md(**|wcXM4k6?_%v7*`&*#_OkV+Sjk~
z?Slzv-hZ4bXwe&e8@?#vx9`F2r9S|6Em+yj+@oR)*GKkb^)>!pkdO|RG>20S$ys8`
zRJ2uNDbhGfMuF!&CoUPA!x5gIYV$J`)L|ul_!Y~c%Rv`kQ#*4gXS%`9*|?^&)wk?e
z*=6wYe;gggw&t)BKQWd2PYI!;F)aC`1V(*Ll5Eg3hZh~<PG>}v&^I%0Q|u=aCT=)Z
z5Kc0OpUSQs0c*NXl@|)$s4Rjb=8j030N8M^i)~(gO)nJgNlCs~<Fg>S%D8fXfV*i&
zE@_f6QOu}oZ!SM(7xhP92?H26{XA()mq#lO?j6QCJebOUC|{HgFtZ+7(O3?H-v*dj
zrE;R(ag|QB4gzxaT`kc|m%-56mt%*7IgqY06un?XKneW~%S4S7W}Q^7D3M-|N2r^n
zSFf7EzMvahIyfcKceiHSVjdg%-Qas=xL^u?T5&n*N5t{W8&B%t^Q`#d>|H5)H&bA}
zsup20M#7pF?*mOeEcjTFZWv!`0``}>mY*bu;?@v<ukc6~RGnzb9ThZzT3)KIwS@?t
z44|HUevk$G>ddZgI$;d8(*d$B(!v-LylZIu5(^f|FAnH*8iB#J*^(lX5H2*@mfZQn
zg73on->I7z0e9Bl^&OgPK3vIVzABLw86Ad!XKx$A&~n%G${_*t$#}BC)QSyX4%&RV
zC};@#RF6;Tz2rx^ZI%CaP}d>vzia=Uh%<l#R8Hx`>iqaW00030{|uLRJk@^`#_c_`
z_nw#QUVGnTM#^55qCr9`A|)v+DQPK5NLJF2QBi#liX>4&nIRJChh&eRe?PD1^?98?
z&Uv2aZSj81*hP~CADt_^wQs=yIR2`>SP13CnK}oZU>8<A$C6o<c+>!n4WzZCKj%T|
zy1iL%uCk%^-Rrwn|LDV;YcJlP(cwYiPJRXJDRvy<N+c$a=tFpea`)ptZp?1E#vXf+
z6E#XlYNF@$AVDu)&90Igzm7?4&0FKb@jHQcTI2MfxoM!Q@HsasUEUqO>j@8jEO)pk
zET9KQrE6jbM!B(L%X0ir8XpGOJqk@I)`d`p$~Av89+YFy(Kj;S$H*>ffV-70JWk;y
zy?M!ly<4k&S!tWlf9GeZ=3yPMxi8T^vX2-4s}E3e^A^BIS9x0uQgk5s{N~GsVtiOs
z)AUz6K@ign*S`JJ*MYQ?<f}^8`OxGorK71{2&F#kI~6*v4V=w`51Zuq@iV6<o4Ke6
z(w^Bzi5F<YwRiUYj&J$#cCgUFM{%NP^+0hV{(v^PZhC(0U-TyQ`z=mYW)jCAo_=z6
z+S;&sx{HZ#vj8$nabLW2M*_oBgZ7EBXv5EtmZK}mg199oDeR7u6y|6*<>D|E>Q0QP
zNlOah@w?F`wc;{(vv2H+^am<jyv!ldp)8Dt7r&DdVr5a>3IA#$6(j~ZAB1lfL6Psg
zyBSW)VbIDq3Hn+pJe<66L;JKS25_u6dnC&v>(J+C^{rHhFxzugzF7=?N4hN2?<ipT
z%wC0OlT^s`tT`q@mcT#T<-PX3R74Z5E@!f&Hqcaly)G`4M5jlP_IXGN%{mu5l6<tm
zV$df3uZ}cERc&u`;!(j%3>{U{Pqg7qkNLOzUu1CEan3u%L=_Xx<<V?Kb)eNlff80P
zi<B(8%H08K=)!03sCh#Nv_7}&X3m$xmky!qjpx;||0dpQR@a5Gjy!9h6nVTuSLpL4
zhlDfw3Ip|>x{$E@lAr4_1su8H?^JnL0}XC|46)4A1BX&Jo6Ww8=<?P>y7inUwx4iw
z`+7_t6r2;bi`gk5MgAL3+LJN&*~K&ue*?(-(m$_EQpWmuZHBY~GU{(BsVq2X2=#;2
z^Il9U$m!j<a|>wUK~asa^3z6OlJz)++Ny##PCxkRwqFZ>xE5^QnQIJfQLC^1C8^?V
zOIZOy8!bF~*GVn7$pq9Gh=q^JYG@d{V*9R-jPn(mziR)QLXcg?K9&+S3=~;9E1^Ng
z?V6;zcu{k(bZa<b$)%2QC%>ELQ8Y2$DQrHNLIY!`;l+3M>Ud35`k3N>Bz$7T%^@xh
z&~rj+{<ZIho;5@+KU5v>WvkA`UjjHF7boPqRUMfR+D{6<P{r}myy{ak08=7mRkFP5
z*rUC>>`S*Yt~rRzJ+-oc>!0lH-xsT4QKz7G)1V@9IGG;LIb#7n_jha#kx;`y#mIuQ
zz4B-((9U(U*a8f?1cYpYRFQMxzewG0vUvJzKwo2x1^gCZ8@_x?1r_fs{;X?~!dX_H
z7KM#>Me9fG4v&<v@>`F%jgUCDFMFAqZv3M=6<hf8p%Ml-{hNp^6h_f59|@sE3%Hr0
zc!Vok5tGCsb2`rpprNR6$v-y>2+q~&cT7+~xo@s-{x<NT(XGJ4rXm(#Q}J78#a|xt
zpSpbbP|Jlyyka|zKLM0`WXb>8EQbM;U5}U_v7u*f3P~gZpnh_CB7`i9Dwg(w9uCat
z)^`3BK?P_fr~WiGmPQFHRG?jAKoQ&1#?PM7Kp|$#nVu|(mGeJNqy^I9cdaG9+pIL`
z3D`~UHWf!bWg{l1^i|^HgJQWr4|5Q{(NSa@B#LBx?H(cfWukl4`|VJk8RT|aPCb4u
zjD1VR18yyg#Ee_Z#eiv35PcP#a#2kP^9H83^fN6InY5{{c?(krP!uRld?kPj_0@&C
z9SeksFt)p=n*d|8pikDZO_+K)^UM$BMIv^7yqoE_G0-?Tv$s0(BeTI#`Nt!Rgp}mi
zbAMZ7Sj=C~cxcau;|+!%<LH)&<eY;KtMZLN^lXf^WHS#k<Lxz%gDb@KbB$Z%SdE~w
zS!hJuf*W5ddrD0St`QX?5g~ZU5YkC0l72IsSWy1Jt$1mjh~xNkrQoXpyl%-?AL`-2
zw8{LPd>r(+Ye;{xce4QuoAq7KU1G;9VLHLHWCl#rl{kE)MjvWe_<XA!*zpMY;n!UU
z8BuTNiA_N|`XH%QrXBl%4O=HKrYTf2p-4~uosP$P5ZtSycj_b?Dq7udS(IhLir5C0
zI*J~2*MeoD8ykN0AJ}|5n-w#v*Rw6FbisEoy=ILE8!GLOv$xP?#{skLvPVD{4!yc?
zGcA@4{|lP@ePx&fk0sD54z}t5gU#r-hE_HdZz-y{{D=!zw*)eJ?$dz*A9bH78+I&t
z9m{>?CJ$1L&3yK+XoIoU`7-YB?6`I9t4O*tAC?e&OD&n&pfR3Z3OO9eGOsiwbbud|
zv`7(M=Gx%(DfO~wJSSf6)pcpQya^W`_U-vRMumxmqC=w>xUk_9UzmBT0KQJ0l9#zf
zg{+e7dr-}dPj<AJ@hA%67mwU&vNIKWmF5nu^6=sl&MPJDmxb}0)K&2$9xBY&l`Gz`
z;lq{ceT#A;qL}DzAN=|Y1x{>gnPm~>$FNh)`BBfs@Z~f8hV%C*uoAaSPF&~5AC7N8
zH&OzB*!MJ7L{ordr5^ElWfSHKMV*g!kwTf<3^8iEDIgJ&f4YiK5Z4|^e^hah!TwRY
z(rE_@kOyxx{WB55#Ioc+?Paof_{%OjBU=i@-&d2ijTJ`U04~SS7CD?zzi;U1NP*Y6
z^T(h^1YcOpZkeB##{+4<4e$9=AX6ddqm#23J{9m{x<paLO{9G;&8ZaF!QhgX)h~{f
zEe5ZM2qm0dU|~4^jsl`AJxsHSk~s1)zU9DMWqi4x*DFMX3Z^aLqYrGPQAjsgD^*ez
zl~e6IPoAQ}VZZKa;E~0!3-^L)$JLO7Ii>&LA{D0Hy@pJf<Z$$v_LGP<b#&vi@%^5r
z4LmARS)PpY8@|y^nw8VQx`Q|9Z7g&k`kh~P7P|t@+&xY<+pmd{MMLg4cyysJ<^Wr~
zpd$8&t1Vo=M8?QpqJbt0x)7~a-2Y8h2}K(V<z#Pa;RR){Gapy=pxwdSs9s$e15yjU
zuNqNMY;DMUM9Kh;@LoGwuBn3IcG)h~7bvKI??F(nham)qn%s<0RK;rPlZA0FDM*Ra
z`dWI|2sD`!jSjP`A%9nN#@7Z4S|^>b>RdL4X*0&cm`*iZ=U48$SV%#hD~0X>yG%j7
zctAKYQ5~CR9&5b!reG_>9%tp(W?=dzV&Enp361sF7+GIv;n;MX^<P06u$$)*-eDwk
zJI3st=1<0}2mRw^Gyo|2`}4dDNq9!D{=fED8n{=`nCwjeJP~W?J#?Rh$wK>Qetb~J
zHASnCF`5PBjJBC9ogiVh6s0xqt|~HqUTO3$v4Fjn63)V+B;-8tu%l|5GWyi_?=)E1
z(6^UI+}@beLm<t<{D%VmQ>)!f)3t<$=hkj;G^nA@y(k8+C^?L=+;h^;)e?GU3kzNQ
zRZ(3gh=@0k#&eF58pU3g;9LJj<MbC5)YLs{m0BZ)-+C(>cx^4g-|vsO>tkgU$Synn
z=eiKKeo4tNk+lT=Q-1%(HukIyvZkuO@S}CRGKcOj3uyMNa&y;G#5cjy?`PP#@l((J
zpYr(@klR=8ymd$(Q%bpQXIxoP{=w-Q33m$+tWG~VeO(R(g~TfkpJhO&sy8Du%K(?b
z<zn7eS$ygtt@=`Ml~9|S6I9Fwa6a}swpl_N*($ulm8<87lBWX+4W=9U)za2l|6Bs+
z`{aMDzMm%c#-&?}meWAIo<aS6gc!!$9=geA_?y@~^X}T^33H%hv3xh?xzPiCO8@0B
z{v`bVW0sv$G=~6rlg#?vLdZkACJ<CGOt|niO26_m19`4|(f5}GP+cQoBE4;pP~Mu|
zHI`!vGD40WK|lHNdh6}c%`iy#J{fwZIBWv?TDF&L0{O60Zr@k$=Ys^%m8IFOZUQP{
zY1ZYkJa|5e^>;AyFaeL&KUf|&hWl{9+4m(Uh7UjedvoOnansQBedIeM$ZeX{TFzld
z=i(g)TTcEYR`+j{jgmG3CEHznDUGbSZFV2O=>BoSTa#tj_=F*Z*&Y(;BeS5{=~ufy
z=S>os&!1X9*vOqr9?gywpO~;I;zwu5wJAc|d!Vh%)Bt84Giv;Nz=+%ChLZxqW{CZ7
zTpjfb^uaaih24o44A}UeCgoAkEFlJdMRJ?;;qkEZhlg|YDB2(D?{RXD_)vq2zVUhx
zBN$XF=tqy;2`O)eau<k*sd>G=jl1SsJ9_`x3?0hJ4;~X4SR!<U>;9&O>B7sdxZ&Uj
zbZGu0LI1V>DlseI5p!Tl2TE@zzc)>$!wSylwD^*BBFoXtZhx2#Wbq90GM}Tv`5kTa
z<I?mvf9YR%{DL-+*b)`x3+d3pJb7;KNe1kAQJ~orx4{=4uPPmXZ0PNX^Yr74_}bk?
zlg6(NS00tb=K?)0e=l0tb%Yu1{(W})caI7)0%2bhtLahQwfL$dA1h`Jt{-MFp~7RI
z$S-v+45;8hQ~I%yw+Hg)DT$pFV6XNp4`pFQwI!kB2kvvA^R-%sf=CKbo-s&Ie`Ul>
zy`3&z_qp)#wc76M5)_CqxRJKr#Dw=4nNkDVcn}8FRunF1!PArWZ!)`?G1*G~t?3m$
z+!^*E`O_~lcm_;~b8)d^(gkVir%(L2-BR@3xEmR6Q*PD{`Lf}~Cf+!1jg5WWPtMr(
zUK4nat%px_v13=Li-L5XAbQR$sxUfg!jmq$(>9Tu7$tRQkD<OW7U+D=vi+_Buc^Y>
zBr|TTC@N&TGA@Ge@8-u|jMD&uMHghWc=6J115c+~F`P<Y9!b&H0PYhtCi{x`FuB{z
zEc&GcmYVAsSgw&E{MUh_VXgdlvNYq(NS_q)EvGoM^pe0teM^H9zX0C-xr;YZKo+wn
z{>wS{nFRg6{XY&K62xbJ3+KbO%HgcWm8(5JNWi?d#cFX>2rYY`UK+k7k5dW#`{IQ)
z;Bu_F(Cruz3{_A4n6#{b!?zly4+m>NgL-yejkXvTYg<kqKB9!=KGx@SV;b<^z#G#A
z7765-=qeeTQ^xu8JEN8_Yl6n`bDd*LlDNtCL6O--Rs8ZG{lJM}GIUe9zdquU!AEul
z7ZNqp@yd;DoDHY6pgvMgMJ-zvGo7z1_<ts0R#a`J&_@1N##Il+)XSlb>hCihk(ww}
zyqN5!L4|Km-uuMP%HwB)*KU9Lv~W7Xb<#pu8|*BohS$i7Xf!iAHMNC;&!gt$gB5ik
z^G|VzS*Q}epifOYutLFlJ3GZtFJ0hSd!Wd+;kPE=hs3U@Q!!HNQpCMSdeG=M`!8Zb
z1!-KxyvaP;7#nGcuT%_x<{9e6B&CLl@gukReYNq5>HYkpuMOcjsqTuksXF?%yPe-0
ztBroeOD}Xoj6oo;^AVo~3Fj-FlZ^wlG22h%x3a1!#2Px64ajR?iPOm6SAyDD&x?nR
zewx9^JC8uaZyKmzZp%Z7qoT89%jLUSH2Ac?rOwnx6aVwL^<1`$f*FB*JGR{ca4K**
zW>KJt7iPFd{T;NBM{ekB<@OD(Nw<#kd#s7unoT0~TQ%@lxVN$Gss$vN80XC#*Ti||
z@yFhb>iGS9hy2etOSrQ&;70G728s$@Qu{}*f{XXYSEYYiLP0N=<2_pq+|m%S8u(KI
zQ|i;>y;QAWlHD@S(w&5b;nt(It+JSPnvyYMYXxsT)k>Pl>iFYY+xhNd36!qsiR!Yp
zf_3#jT|FB)C=%43H7F>I<lIx^=}K16+2%@HIi!OAhmRkB#lVmGye7FJla>(PoA-x)
zR0*qWb+f2k?0D|P(E#4Nmax=tMfS9_B3d~`RX%s3$LT<YZ<;oiFud7jZcCLs&V8I2
zqU8J|==vlpWcw|ErV}D%EF*`p?{4krogE>#!$)pc9JYY$b2lp9E6CuH9i0y43~vYq
z8tpjWD!`Fr@{>j?l4xGJ`0gUPjm90PJ6@Iyuzg{owP&LTp2|G^EwXcvCiQWEazYSb
zepkk;qZ@qKYwb1Niet2W))gP3t!N<iF_kDH31aqIMnj|9B(1KBbMfO|bI6Q5ueW!I
z9~0|Wx3SSr(R!4A`Ee$j0n1IPUWpsLnA5QGpd@38W<!7bP)oTf{K>Ua>Tcr1W#Qe_
z>Z~c+rw=s@?xQBqo!8e@?Zbw5+`~<LwWnyTBTsK<%a}le**^!3EzCF@N!Qvn^@o;7
z$@WR`HHLbe>wJEZ0SD4E8UFH4(x?t>>u(B-fGm<XyGxo5*ZSEmYLAc8=6B9i3eFgU
zMt7rG!Sn`?J@r%O%^9Qh7-uRdS{uT^@F8*xX@PJ%BgFa0c9fRkG{39hwgKp?SnD_S
z%@Xmy4pSxm4%1Yf4s<v!=tKAp4~F=aX#xks`}dR$(s+Es-u7<S2UV;+o4oLcc(bRk
zgi&aK*2Q?}F+b`7mQ4L<$R8(uHaL&Qv-Qv_`qE6R)HgUwBtMaTe3ZxuTKxLPs*5&z
z{8CfKEnV>Ai{r4W8Yc4p>N)LeYNw?n9e#I_OBW6pl?m}LekUeUm40#GYNOTXqzeVb
z>%h3;yW;(u`-u0~uhif2Yo>KsrMPgdX+xV#+w?D&Z^V@j#bs;Z23mWDnZ4^NZP>mz
zs0d3P#HGuX3j+4Fw7gcWqf%>BSod%UDJQiP9A?fD2YX)7W*CZ&xx`a}9MC`~@}-T~
z*?6_mcB+iFSS<Oqos$YLLqY<@8(Ro=txtl1M+#^M3HpZ@Zc-paSn5J<#(RPxEcgs(
z@MT)uRFeB1WePM^sh?Y7dPf|S{*Q-YJ(loSXU#r!L<=aIS8D6$-x51*pI_;#$tF_W
zB1z(zWY|hvxOv<64Z(C`QM-??ggCOmuynLZ6J%9>*SBic6NSe74-UyaB_79ZGWJ>1
zfG=I<4LqK8#LTvw*E~GW2$uG-*r$dXpyczyRsLfw@pSM^X53&6;Tp+W>=Z=;jZ?-s
zWvR6U>u>%s5icaPgBj|0U#WvtRJA$hrCOqZ%r*JDu8uHG45n*iQ3vjB9p$;ES_0YS
z*nXP6CC=G>EDiNggZdlk2hW?;5xWG!j-|9T5|+2urJIXY;l5miF~?{fF=xnc>K5~!
znDMiC_Lfc+C^d5Bt+n+;W6bWlHuo07?e6bx+AbBi#x$`?YI{TQch2bVA-549zs3HQ
zc&!YQp-+$O;BO!}FS=BSw|*khrUj3fDJVld=N4L6QX^p$`1Xy<m3D&3+`lRLq7t~o
zEQjr)HW6-&#qZcpb`bZd`N_kJig4e1>rlI3Gr`+78hz(d7xA+q%SAU>5okr*rnl?1
z5RPo?&23-45s~liP3`@z0BgqDQ<m3TiGQjQ&BLy}MBS3~A@A)9Aj$P8rbqG<!NYob
zzL0l-(0zJYZoNYub}&6t-ktuLxMs8^(T;tP_}I0*+tO1WRJLBBlQ;N6e38?0oG2S2
z&aalN@O8@pT6QW+v2+rI=jCyWq#p!D<K#2%J#sKml%d|j@|DmqJVV=hVU!5kTnC)L
zWudf>_+n|^O}zVca^JOvG2+SDZaK-5vcR7AtVio<FH!u#`;4*q1Toyd>&975Ss<Ox
zE13%%AoB0s*vG#(NzmWzVhjQqD0;F;?$;e8KB${SxW`TrlQCjU2aZU?F?F{z^Zp@X
zGHSV|f;2;@@g~`<7D_>mHcKLZ<qx7PrL@h1WtNCBc@k~>LlX9mEKWGR9wlU>74IAr
zoFi^jlu8+?O2XX9suv0CV}uxs&(W%#3xxDw53fSF1n?<@_Vu2gAY{d;!bL+%#I`df
zle%xk!SLX#4~ABMh|iw;HGQ6}66U)0qIJ^ZKzDu5FPV}lVr1-Hpl<*jl7gN-Gdd#%
z(RD5v#=B++JDwYATVxr~z{!6^V_X#ei*Gt#M4KfJd(0hZ;$T9Z<2KfwyF`JKR(ik4
zbB?fzj}|u}v7qGZZC>}fMIf<K^A}I?0^!uV8k2I44cjaBEz<UhK&uZ)%++|Ac<r{S
z#YmYGcgbW1=Pw8Yy8=ZsU2u)?Vy;LH;^9FWd0RqZmM|!G`w>1lboe+q>CyB(KD2u{
zopZ@W7)qkHyr}eJz^dr*&g4UzP(1Z22UT1cLVUCxMBJG0!GUY}ae;!ECDiqRYe@(c
zrrW~HqgimT)?fFsTf%7CGv9RhpAf|UQK%q)XG0lFd3r?_F>H3GdwP#w80el{t;$Z~
z#My%1?|I85@GOJ;l#GWk6i~}j<0E+R;?-cT(gJDJcm8?kZKE)_3dmgR{l<raVdf#H
zr)BZ@(Fj$!a1khw{jZ;#zX|KZJbu<alSf95DZ$FUqVPfV-fj0gg4j(r{U@|Y5&g+x
z%U1bfAU%6&z3ZJYh6*oarq(LsYf~+2aXSe(&zup(tS*MRlP|uqu&5zpZ^|9}JyNh&
zvc=$0y#%fdPO!>^lW<qZEDkfs!t*?i`7bx6F^zSfK?f5V9m-4NNJVlW%^qQ$+b)YQ
z&ptTEyMux@Z!YiVd7uE{%oDVzD0#Fur(R{Oq2j_O`pmDA%1|Ut)_7s4h(0@pM0QK*
z;OWg%rLQ^E;9{%F1Q)+D`b9sq_lnfTh8C9m>t{8<qN~7MU_}K(v{gpup6Q{w)W~wQ
z4Fzr)a0LFFR>KC7{1dF7^pURKVLdEe8*DqoIk?717%s2O67$dir5SS0A0q2P>?^IH
zCvBSOlW4|%*1!-=wMe7@HbeN_7#-++TMPN_7kSukH^kSZ&0h9`Ch*IV)^sV8f`5Ve
zZS}eV8a}yu%*n(Ym@}L&3|mu?U2moSmXrZ9JoZegehhFk$a+s{9TlZHtGQo3(!;aQ
zug*OqTf%|uU&|Odwb3;swc=2<4*p8&O%+MDf`51IL0Lo_dCD02DehFv<NG04Q(_Ii
zrTy+Zhp9O2$sd-ktBIf0PQG_NZv*e5?rcgvOvM2I)eMjQDyWolDh4ENq2l597xn}N
zL&i!QyOQMa+J5#2QG0EHKF{&8RJj)V9It<s{$2!UuPj<>?6HOU4$dbR(=^f2b*Gfh
zI0te@3-<cU+d|VmcgA8h5=ND8jng_dO{mW2+3}Ryz(kwD$EBO9C_H-f%hTd<8i(69
zpCMTra4nlITmDZ8B`+RLzpl>+9BX~4jZxM>Zx%dJVXc6@De<|c0^CsZ;^_0Lw^ndQ
zW!tmm0$F?|(I@fUdK28eUFbvOvx3@$CwrYh5`S-1dttLA2pLC&FU0S*1i1vu3!YIT
zXfOWVi}{-{Y-Q*&J5yl+-B!X@9qXIWN-I>Di$@e%9$gJQA!q?rhd++JujWPtHFf4o
zwW7fDR8=@67C`iDaNwvi3#z+h-&_<DgZad9{*9UiYXb#e-zBUOSLYI$yHqx4KTA)^
z?zcH`UG{s@&pkt^-p@9m@`yohgJV(zy*Z2vyG==W^$@n(jeRV7MB%LAE8#L#Ghm9^
ze(>zqCK_*lhqKllQOK6de4^!N3VxgiTl{0jXx)>FULSUg!Y!5?)wDtrxc;nY&DMFA
zmULGAy|Jn&Slqf+?6YVL&vW~%*)A;8zTFRNiCGtcXpz$o4ZMxPe#yGFk%=B&SQO_@
zjfp^&Cg1fJwMMY}Qyg2#3?sA$#b*@#6am$7->Y<bMo{B#WTknV1scze-hZ_!0tPOe
zEIwt1@bT$|CvoiT(4M&U<`oT5;J;qHW3#>?#5V8QzrL9h#6(VB`FBhdnAL86-(PP4
zDIe$5#r?P;`K@7<TbC#>{OM#m;cWoS(_4!V@8E^C_vJxNZekGh%0({VpFSum-L>-1
z;RA#1BI+jNVqiBvHLsef5A|Z~j3O!gP<PIlV{fK7?0tN<y~9=?7D&|%M~-ZQ2EoXw
z_I(miJigoX#<CvlC$}n^dkDbe8y*I%wvr$&C#X>LTo2Zc4=&9c3&P>fX>V7M0?LZD
zzt?F!pafl%Xi^Y@i551#F&Ak#MK(=j*`^0aSF#zeZuoBX(*7-NCuCr2{K^ppB|V4?
z{JwvJSp-=78zm3#lm)OZ&?2$wK~spbp9+I0#Oc2r`NSv(2|uN`6#dnOLdRe?7gjM?
zkg*G;R>}cWX(f^-bm62!3rRy*92~D*wLTpx4^zPB<Nik%EE?qvwX`I_A$0ZXVX^|W
zNpDrEUDXBV*Y3$@T_xeMY5j*2e-*%~eWI0LTn}!<=`8+@l>$$1Qu5mxMTncE9~!XI
zgX6Y*N=sGJFx8$#Qb|;TI&?quELsng-}I*C&B*{7Jp|Eh$^gx(Mm%+T;Bj2YrZHO<
zz8}1Dq?}I$41G0SjYRapE*1>`S<6AI{J|X+A5>scrcHQHv_2f!E|gmSTMi-@wxpkm
zQHB2j009606qk22)&C#IC3{~N*XDBFdu{H$uI)Zml8TC=B9y2|Mnh#pL{f>Yq-YRY
zRI-JJq!KDLDBp~RLiWh-{{H=(*ZG|Hd5`Dw@hG|xyY#?sHuCa}YqHZcu+BczLQPE@
zSqsN%<bzFdabjB&ucaoE^}5Ut+}4KYoDnH+(G){Xa(w(fnwXH?wvR>8!QI!5hSL|#
zaDVPqXLL9PjQfAPRgdXlVRr8GmF4CTRS=rhBxqsLH#C=8rGpN_1L@*%bEF)1y?H1{
z3-!`AmW6FPh}yfcrtp>pgb#io{8FSs{e+UmwMHHMDm{Py*=|c*(?Hr}A{E~B*`4F3
zbYQ8G+0mk9g-@?{=Bf=+F+9+3o20D+GcVt2lP^}NPLOON8`0q86HHIPtc~fVoo`&z
ztl?I2y=SQp4LOW=7Fj>(X#eCO5n*Ek+EC#KMidPZ1q%sBh;;OLO%q8UZLsQF|7=z?
z4d*<MhXg3nuxZ&*x$k})gx~*o=k6XFNPZa$kNK%k_T2njr<a3X4g2;}<}^IJ^)0vd
zBLxeORLkD01KABtGapB&V2w1@(ynP@jv+d9cqPEQwa#n!92Gm<p4v$GXn?GBr$E6Q
z;EP|^oTfy@T#L^^Zw)e*Tj)*Q3j`iGq(rEl*TPNfk@q&OYB=p97@8IYSgjtOHJhbi
z!`3$;tPmB*++!8G`2lvt+frV;P;gs8z4Qo63B^*=)@{y!l6=>X(W{#1(~fvNpss+`
z%3J(-*nq~h$2V(!Xn<6pWU<VO1edbzga4!ezf*^wvJEsa`}E@P4X0#LIsb~(+suLU
z)NCb!$xyyfuOTQd1KIS=IX`_lxOm{d_~ZB0akrPXqV|b24!TQkb(*$8&$l;2b>nLA
zS~L9fcnJZrRB=bKSR35tIcD?uj4IR;{hs>1mcl%vKYCWs2146I&;2n`!PDUR+-fB$
z<n?FNRi3oQ1(*JlgMXAzDdpkPtRo3C!_T}A1*{=K3%#yZr-+2G<Uyfe32f0iQcsVy
z!oBqGbib<#h*FM>+|DBb)1387RTeG5yK;zM^s+n*tZgWI@5GT8!n}1L+!9Bp{dfH-
zCBboWZ;95BI0j30(|%7|z>LRhD!oSzb#MAD)0h&-9WBz)Icxzt_u(Z>iX1kG>z($z
zCxHwFPyNyv?mhRA{#Jcl7WKjeL3wXU*n92@oQ^aHA@<*vi5VIEoa60^QI-PjuvmZ}
zzd5Sr*X)T-ltFXug1*otDcIY0bh@51!_vRQ4gE$k$UL1ewabWrY{U3P6*V&${^Oj?
z{X+!pi|m=QcLdb5+Et3)GsTVviAm(AL|C|}xI3Jd#)*k5qk#^l2)dCu)muWuxXkLO
z<t{`dy07R>?Pr6z^+CqQdql+SWX3+%mBBXt<gpj=Y`CY{)bKVFp($`KCs0Nf<CP9)
z{q@<%>d_fFGET&yq#;6;xExmgjY@0jHo@l3D<N(y8GPU+>2#4u;8|wc>U7!!s?V*j
ztvo4%;&7F<iwt?Zy*FjH&CUddk%jwsMr5#Gy_mDdO99e`&nbKOO&~*_yx|Zai|EgN
z*H>Or#DP*i+dnT^$l*D>e`H1$<@u9=_kJni>MSQ9EQf{TaVu{=zbJ=CC+0M+JF38A
zeAq7i01LyGT~;^NlVGP<UH#>eDk7FUA067nf|G&9eh+zhe0}aXc7Uu7xh3|elx<mX
zkT|1udrTf;^v)L(Kh*Jk^>6VZHVZyVwrQ(-70?>+V6mf`j2Xj3V^K2}E~mWlZT_r?
zi5T4lqw^XNoZx|@9SbksvBolnl|W64GWst_6J4wMd5(Cou(IT8#jv;vu2;3k`md*8
zqt^0#w*(fx9^qVlZmo*S|16mO3@waqACoJtWg#pe{P4SQHRQiEdc-eF#qGa3F6v87
zu=GsVL8gy7ym#K?6&<G{PKD>0(`FNNON?&2FHQ#MP)J4fOBy6yBNMLFnn1TN#*b1%
z#<?iTIlqf^7=~@nb!4&;L~4-Z3Dm$JJ95NNcWv-^N!>&x8$Nr|i^5ekQ8-{?)g-Kg
zuYbR%NUk$Qn=m~t{<S8sYWptZJRO|kA93#gYYN)>y!Mu(6#Q0xe3GN63$K|Y9{UT-
zu>EheLWQ~(x`bnn%I(+1L|2n_|4wu4<<Sm}t<?hGLf=Yifi6DQTzJ;4XMwUuO`~w4
z!f9vT^?i4BvFrE0N}o9kFy-UD{<cz)uJmHEDM=SIU+n%7Us)orukvdFhlXPzI~H}!
zb#a)$xFB)a3j6o8-#eR4L*|?NiX#top!j#wa~*$c=y9GoYW2`CFU!B;AHNQg65Sap
z`ZnmxlKHb%h>p1)R#6{a8xxsnrA2)<h`%b)8%Uz#(7dNtizXd=`jR@j;yLhs_2PZ9
z2pyUijhlDOQ$f@XkdYGw0wr|$_kN`zWW9jcnMy5Gm93Q-;O2awo8R+;IW+W#iuQ~7
zP~dWHAmrUaK)BdStlNr){W%Q@@=G*fStrf6Hj|tGPQEMmJ)wd^QMUSik&Jx@Y*uRA
z1lnEK$mg3-u}U)c<$6nXIQ6+(UMvNschAS};`YM%1;IZxFI7;lZ<^%BogcF2!Sojj
z1X<a&td&Zzx*%G!`~r7=i`?{UG6nZ<3iChwC6D35BaN{UK#j>}!-HEi@yEjK{+=c|
z#CYCP^K=D{%ydipC27FAvnGW1qYPds1n#8M0aADM_*fMg<E3tKf3%6v$@wlEIKTnz
zHz`8@r#e)&Y;r4lK!9ob4!?^b9Q@5oAL&$8hr#GQAF-oSAnwT&VvpP4ul<9mhb5{|
z75~x~{6_-cFB!PH2irhkt;O{OrV1#(r8~MdiX)M4L&ngcHGC|DzeY7HVQv-A)qBcf
zsQg2UJK|vtkKBA7`-6(Ol5pl+yNxJ_tyjVVTCEUETKn#snF0dy)6>T8iJ;LT;Cr8~
z73AB8L!Zma<DYV1rf7%=tk@L0_6L@zsI6J-6(d1-U2<{;_xry?53QDHTjE33d&irq
za;Ugel3j6I1ewnmf-<=lNMj1vu3ICEt2w@f+tfs1F%+(wO0qyg^;-MFR2i5YlCZUF
z5XGUEH+jEO%^^e}`?+)TbJ{klm@ioj=|r+&EWsQd&D)dvgNV?z+h?`pggCwgT1gh2
zH^ZgItE3`6BFX|cnEU2Q;Q9uh?m`7KR7Xdxm?@P;Vt(vWLa!ty_8ofHbj=hk8Ki%j
zVbXZV?h$^PD}~d^vaeS$OhG#5S#!ii8mXU@Hy`jO;A_~?(0xzYxQ?xFTvl@Dy&uN!
zFqXzxr~KZ?ZEPIY?b1_NCygpuQ{_}?BC7dzv+8C|U|@W;%{GwxAEA~o1|K)S=fdiu
zE}0;s^4QGgJZYpfF$^*UWO2=Ejz?yt2@1WlsQ(6~v9|Y(mA0ZB_8xh?=i@jFZnGU4
z{mY3+2yYnl<B(v({*Pl-%)<B?o~7^Z6EW7EAkunB9+LqI<Ar`KRJ~xc3QT3NCv<hz
zhk6CPCw%e9(_!Jpsw3w)tuk=Q{=xG{MG3rXOgipNGV$XP<7DblSs4CW&|QC486Ok#
z$U!YkG(Ou#%rKXOvi_?oDQQ)l)ND6MDq^Clk^KnVb8ogvS;bSN2ED*!yP6axGI#%V
zjTs|BWZJZRO_4fsJ@&T0h+|@Dz?U^_?)y>a$d!%6lQFou*!N5<6Tixi+|is-KtZQh
zdFfsa1Z;d>GjNuPi(0)m2IZBoV#$q>Xzn|+IbV3X@dgu&1AKdjS1UsyzeRLx4F!J=
zj#f*xGU3RYFY!F90_)u&uXLAbp_F~BypErRF_VgS#6Ir2yZUWDm{alni%Qa+wJh-7
zHjcN|P)CYaOr!>ve;*kW_ustE?W5v5iJjf*@blFyyg;U-Z0zBEcL@{ZI4+?kWstFM
zEAbgbwBh8ty~Oa83I35L3));YAZs$!ozSn1^PwN3oaEU!8Gh5`jl3pg82P8S-qC^2
zSIP6y6>Pj&I6md}K@++I86VBObitF#%2e<-#qGi7<o+xQlv_=EwvFkc*T_QZKV38Y
z*m_$re}fj@@y~vn*sg~W*Qo{Jc{3O_gx?BZLPfk=`g@;3JtX-AlBK)MA>iwzPs*p_
zV6tk%`FcI**?;J4tFgewQKkStm$zer2_~)udWh?G@;*{viQ%3fQLU9UY*%zVTI;HZ
zOOFJe-#BLlvx!GT>J&OI|L1Xd{~KMLPVzZ@_K-FDnwEC{I6%iTiF2I`L|v@jDY9DA
z#Rht2bFa@9(XqA0lxILw2dZ~T^&VsnZ1SCq`0MGoI47N2!>5h^F4lP*`ozH$zv|O}
z59x>>ldt|;LxbDWhQA5`lsC_xSvW&SHqTwYl#Nu(Kl&q{90#mcqzmk@qr=!WwY%mm
z1>8GcvAGHuNliBk;P%u(CyIcjy(Yx5a<t|PFm4{`tL;uh#f#F?4`pPW6=0>Go&tsy
zS^{_0QIRJ$EH|vp<r%G0T}q3<y1FGXhefG~_<M6Q&rJninkOC@PXpi0WOnJT)WY3S
zQys<$Ma0IceIEG_NM4t#aUzt0Dn5Is%0Ut?Z(gys_A%E}hUB8N(=-tvtnY4{Ad4BF
zkB7<J9`SCi$qFjbfLfAO`>WkVh_#j7EAs{Dz6ud-&1A6aG{0XxOF;F9uOXtkz^+N#
zmDb<X;s1{EWy`1}yg!~4v3$otc1@=6YhHD{xICix$3Yz5zPVmHwT1(Sz5WMwu2;qO
zt7H4tsf*&xejcYi)i#hUUw&%cZDm|ZSx@^MAdJ>u>zxOwHdymC!gEed39SwRg`YKq
zAZPn{tTEXduFqY^m^T$r*s~;D!%`5-tsh$Lo3es~S*aZV26^bIZ1{Y(SO6~s?yyN-
zR)}(&CcTj+!M{Q%GJKZ+R-SykqO{2p{A}K>KBKb8?2MG1-z|W6%ae`&j4eSEsM;Yt
zEQ3$ps`o^12%u?3Ry+H$1>DcbGhgw`;J}*eDc2PR@u@1t<Da+%boR7S*p@^nJF>Sw
zuN8!U-P@5f(dJkfh<aJZ<@Hul&~!wS5Mr(cdt8__!wtiZ?9(#@#4i>Q8jcBLc8x!E
zXE4_b<V7fb(FD8<Wjqhh6hZ&N5`FF8rihf2m2D>zz!)py+4DveHfJLBRJmSnI#u)c
z&_^kZmEUpX(-sFKK;+V)Nj8Q$ZQqXFl7hGPiQW6T{UUa#P{S{V%YiE^Ob(?>!Qy61
zm>Ji<COA(rGze_m$Wk@4OOwKgTw?#l2`Lb~JKpx^n_$k~Vq0~g6h53%yjk8$0JSg7
z{SU_kXE!|MacY-><n3EZVjraO`%%K%6TK|32Nds|ks{z{qI`!{KM}mlRVmYPEL3|h
zhERP7I7xH&6y%i!r;?xViV>IF%W7?Un+bUP<wK#lu^eQcldZn>F_FX=4a!;}jq48$
zzuwqS!l75keOWn7=u~NiI&?_mWu;Ig`Gq`ADL30oZ{yB?HA-AKNJOa2rrDh)ideyS
zq(*|ugp}Lgf>u2lki28Z2@jPJ*s3c2a*BaX?dvW3r(~cTeoXzsS`|25o7GrsXW+=t
z<mX+TvJlbeXw;rjMc;$_yMrqja40=-GqObvn>RdBdA&^?Wz16Md?5pBUO75=%k@g1
z9XD?|kg=`uS7d5F16kuMlS)VBK{irR%;ji6RXU;A<SqjP!L70-nu?go;_R-o(ZqM>
z+ly1r7`PlcQ!uzk2|E1l&ui=`Xj!-vJT=VV=3u^d!((Msy_eY3;jD$`{QebgT1-s6
zzo@j{NEOU|${}}ssA!JeNjBZb#J(Fp+-&Zs!Tv||toK10+PjCQ3!0f+o_xFR<0W;B
z_jydLj-!L`f>C%T*LONnL|thCWW;r8ew9D1jmulsH$1CmVdvX@3x};Wu({d)Xmx@P
zc8b+n7rAgb0dbLo(wd0V^`Qob=t7cn+GiaP8;)BxdQrY>;+E{&g!jwzu;D?pq(cK6
zkmu<StEIr1eI=VTp@)$9x}zu4O;LBrD6H|c7TlDkC)H#0L1oXm*oT{8dagb@&V`C2
zYEL##^y<T)Rw7_D$Q;JDUM;`HY0#vR$pldYgnwa9$_HD3=VhDGY&i`-$$sm4=Jipc
zdg}V&FiR*c)Q6mMq@zgfOu1pHKB65Jj0Iz?@cr=aADJ)cF#0u^SFWWGqcx4MR1>VR
zCGN1hx2`sxnJ>BqY}JFzNN`j|tPKQ}0|&DAYNPR%!|^8@ba8HueYPT)gRDOjiZ_$A
z5%B7;LWh(NF8j4gX;OfY27UJHcx?!_(ep{UblAkj<fI-4bejSzthZ@n-;Xu_Q3Plx
zuPHhj*9JU{d~Lm4QX8o+Z5*Vy{aHQsL(X5)7N^Fq@>*V|qfe{oYJHL>?slgw^R~2w
zNiHEQPK=H<+nekS8_78SyW|IRlPwCL`EK8_jRrZftxZ0QYFHjosJMBXEe;Hb|9F)~
z#jV+i6ZJXDa8gQ%ZQW>#-D8`Ww&hw#`=RyKK2QNlJYDwU*0$JR^7UF&GX=+%ZxA1e
zltaMD&CzWnTjU#xz1s3d6P_+s=_Q>+RNmBl$v+5eyly#v;*AF0Iyo1Y9wT7CIX&>w
zEx;{N#3}GK8Jbb6z6NpmUnEJ)F5DjwbuN5Hc&!d&d$Dr?k)mk!J^0j91JL8|4I9l@
z!yihBUiVcYOo(2{zk8E|a#~U=r(OjgBv-Q(Tm`V{m}Gv87zY=`lWt7>Q3CBgq3ui(
z9~u)RJi_<b;Kf<-kzq4ML{4oul*V2PH+h545l^gf@Xwbk!k6WdTYYTCX*Dkd2x2Zm
zYS#FAxHEMXnFRe~;j65wmY}wwa;?)*E9}iZqB!ta7W!=Wx$8%lK&E@7!=lp?pURrq
zVevBXUPv<Ri(UeO+9j0ZY)kAJjtmsqLxhcIM$d`IOW<A{?{F*20&Az7=@tRf*q0K0
zKfr<)*>^(Ls{Jzuqhq*g>uCb+tvH%r(Zh>>-a<{ZUFH}c(z_VhB88cY30GbhFU86&
z`==H=%-}6e$WEq7;dQ9hakFebv@e?seYe645=B9lZ)_wXJQI|iQpAsp+sp2}sx$@N
zDfHhR9|@FfqF4vK7eIOJ;}l`0Db{$MOZ2T4M?~T6Nn<r35bmZr6_&8!FS&8La=AE^
zZbW7gV}-H6fAU&0gN=(q<8wK)Vo=EGdOEN~6h<xV>f}lj=p1;^$m$V;|My;3nH(`#
z41Ri|ZfAnB;(gD){SrgBdBC;f&JxI+{pwTrjs-$o>#VbuI39+jI@l7WaK7e)=#~H$
z%AyF5{o}<k@^OyXD@K4rnD*8{0d8M>apUuplz?n>wWth<>oNX}quN}qZhA<`xc*22
zae_{h6AU68Bu`xW<jBN|REo`Ph9rDGxCr0fE(7U);@Q4gZr&En+_=433Jvu(i3hLC
zV)mT#w){KXd{$XMd+f6mK3S2okI&0tH0Zct?j8nA{2lmo;|Q2`h-eiIkVn@aOH~g&
z2CAH69?aWFW5?^~a~h)x_+2tZi<mNot*o8JCJ7?Utj8a;CM&_1@3c}`i!qw$p6n}Q
zL`;Q7%)GN#L6K#X@7p3{ytisCbp9m+;gcyIWeRG@{UMlBpK1(PJ9u`@$>QxYX~MJP
z>R5F<^4!q`V|-}R&pOY&pFKgRzDArNV{P~Hn<|OMaE(#PZ`me~J1^H+M5Srq;`%y+
z-YjE0T)AF7w?qNj^Igxr-O)sa)9i$3g)utziDZl^C_&}P#}n&2D98)Q(BK;~hT1Oy
zFOLh#h)%eY_<B(b>uq<CSUL<GI3impZlH?yJ10^e8Pl+}>4~sNG`H{0CwEl5S3}Ox
z>ft(HIv$<R*gN=x0Y0ao4^_|AamDH8i=<3$E*h4_iSK2?tmeU*_S<A=QMJaV8g#IG
zi*P|49}AX)ubPLlG*BAN?(Xf;MQU{Y_`(Ag-kd#Y{3<~c4|YANH5$~z`e(b<N+L}_
z{~6Z)GK|ZyBu81^4t+2g9y^UZ*?8-^D)+Xp7IqXqPH4JdfX^YNn^tc!Mc1^U=v_yy
zN4@i?%w-s2MEkJn2X8Zo4n2K+UYCZQg9m;zq!}XK`Lp|-NORELUtNAUOGB}<S-nt&
zA-Zl`<%Qj_z~A$$SLt&3Uu}(E$oX_btZiH(__E6q@A?hXer?tU&uB$%Fx?RKWrZOt
zM6IDwz3i2257!@*#}8tk0h+(Rd-l-O1}pF83{q@$K$>mHE8nFLRRLDVX;%(H+xoX7
zN(YC6daQoQ>*3ykvULhZK-~pZ|D&lo_~P>4*DZ-UkknQYZZ6=8N42?-NQ4evo}V2^
zeN4xTB{h93#ca`RyUK6Bg$~?8uf<$>OGVW{dx423w-*usJ3z$0QhF}D)<*YU;zxQ5
z1*!qr>m@JR!mhhOrqV(iSH1>#ZGWhN`?NtHcB3tXzYvn`j?<y)H@lyZua1}em8(WO
zY++nP-(68eL!)Bbu$_Yn=q_!U8`^9U-!`kV_8}FP>DO95M=L<;jjfqjjV&G|#C$5f
zt%di?ghsM?<#6X&-M3X4wpd|y_wKWF3QU!+Hg<El@$?(T(V!i+5W8U@u<n2+>>s;x
zUP(zoUUCO@Uc(k{u>*#+P8tX*c-BO466JdG@S}|%fDV~!k^DMj@a(|xGiHLYQ&mnX
zJq5Vz|5O_-qK+e7f(qxlmV(85#a;OS7@}ZszG6@XqV2&xd&o;*+w*b{v4#UGpLe=$
zyAo#B@^8!*{Kt7xCzPfu#KE4c@%MSU6>wio=E$a=S<c0+V!`RoHV|9<*_*dWLT#c$
z&yoCTj_GOAy!a(+$QdnM+q_B+6dPvH4XY{6Up0M&!67SD_&@B4d?16ZacbvkPfT(W
z!XmsBO|8(=`hk(Tf(Q|hb+QS*lboH0dKR~yw8X<XiTdNy1QeB!))Ajfa<&Jqt<w5z
zfiCKrnCw<5q`NF(ww<2hSOvr#er;j_A%4e<;uJ|#@5t$ix--quQeSg4Db*b1_qIQ2
zdMXY@&s%QuinE-6&R3REf6buIdvW2snHciIBvi$l<~T|`$(~i4&A@QjS3EEvg0ALh
zLqhQa$2?);`|3thxIN8zn)pf>^;Q1))wPS9|03GW*hZ#M+?`&w>AMhu59~bK|BnX)
zmZp8tSJ}9;*llEQDukd-8&?0v<c02<_^*ZvY>X}sSWJE(h^^%>sos%G5g=yCUY%wF
zljZq4uXze0q^YGO`6C~;@lMh|5KYjsKjgO!QxMdr*A&dw3E=Lw@-4qJSxE7Ub_q5T
z1R<DKcBxwsmse@u&sJvvsTaqyHVT3i<G4R0LKx;I2RF~$W<pgpB`WB$AW|C1BMs)F
zIM-rwSr<%v+f_{D5f_4FrsI|0L~#_U>{D{@WT4#toa4=0AvErPpOqsn2_0g?r>gx7
zL}#eEP+WyE<g2dvp6f}ES7|q%lx4tEVT8WVNCX!AOP^<!5m2G>Ra~;x7#o-Ht?M!n
zg<;XNXLo-{BgmynyTIQVTWVhv&2HfC{}q)}&rM`-$vM8@p{g-{zZT6a$ri`S_IH`*
zvt*&ON<6H(+X$ZvyKRXgl9=9l&Za?zgs@`*zAJK!P*6UrSh-#bHWKSpCvVE*do!tO
z+Rq5}9<GU6##~R7|J_^brHF6GW2Le!jKFsz+EtAvje1F|Ek})&@%@_tTTtEz1D)Xm
zF-#)NH+-~n(olujW?LQ(j}cTlg4gQ0$zXiL;-(k{b@cbNR6ZRt#J!T;lcTA!=yHzz
zH)c%6^2F4#ke`O&umAihb5IV93#9_iTQ%_D!+gUnej~)0*Hl$)lE*d54jIu@O$Zkx
zmA7gcLABH1P5oyD91Cv?;_sq>eDzArJ2xW)H_lc!98*HK+f?6i9V+4~BlXW+GD1e+
zCFuZ574Xvx>GSb4INwh;{Wfic!{>R=eUVgyU-mR}?mHd3>MqOI1Q_G007?91q&h5(
z!*eH`ba3u(`M@Z*ua8OX)mDfi!|#wmjZTR!w69&g&&Xw9#lo^|dIFbYTO+of63~b9
zQ3HeS9Zbl2M`x91XrhK0`m@-<08{@CCp}uu!se=Yi_b+ATv&2RsWZqB`z-Y?2`@9j
z{N2-e^EF!7SY$P-VrqnlGbvf$J=jRo{a9buLdEUSdv9~O=cjfyRDWlxDT;m?Y$3JL
z@cy0Yfw(>+WDd5CDE69x=fJHCo15r3zij7M#ihpRF%jHOwXpz^)ttJyP#ZtnM3#BY
zaQADkrnyLwCH@Bh0RR6Cmv=msZy3gHA{={V?_(Xu%zCe5G*zOM3Kdx`m68%IQ5upW
z3K1bGp(wmBN><?)X-Slo$Q}tl|2}`*pXa&m`?<dN<uE{(&e=}~XO2{0NCg91KMP%Z
zCuNNT656qSG#&VSh={awV<6vu>b%1l8wCG1L5N+}!GyN_{IW9!&~1P5D*Ow9E2aX9
zBcF8eS@*QT;W0gY4^W*pz6uO<X%!!t)IsC7#3LP|y3p>qC}=Cs0xfNHwP1%1+=WI`
z90s*v$my~A-7OYo%=)^AVs(%;)-op*rwOiq(U~PvEc~fGzE@pL2gWZrZVJk&gV%84
zilmJ#v`z=!iP=p@2>VN^_**KF-Pl!b>u-y~;n1<d2yH}O<PdO{Rl?Po>dvnrwxHjB
zwEVzXEo{`>9O-#b4l|dUqY@9<A}M#U^RlNVS{r7Vqcf72_gskJb+N^4m!npIng+`9
zTKgmVMRDlh8Ep$?TLg+K=Y)M!L+OcLt<~{D7@~sPBRg1#EBGzIeNGkAM=6P*b$pm;
zb+)j(&H}TtROm5X1>aW<3L8vv!1Q0L#>M3<q;#+332aq@PrzZv5!xK_lGQk&@CDH7
z3bHPtDdOqm-;x)76NKl7k*hn81Hu($9+uaZp{A(#!ql2!;<uttgQXa7*Pl(fTUQnq
z=~o4E#rudp2ZQN=Z3G;GI{HoxN#TCpbK}zCPGY&ozRtd@Hn_zj*N8R=Bq#d(u21<w
zDEIzZp7PonbM+rAY5ihwmkO7bEd4<I>s<MxWWfqs7xb%h)kML#T75JixrOj9>>io7
zwnF%_2ET!eG-PRxKV($25b3pnDZQsHktj>AYBCVQ3AbYp)AK(NF0D}}MKu=aZO<SA
z5(RMI?;86`;m<^%#Jf*tBrNbPbhd}hX$kgxao$mQ=^ODn$MEtx-{la`xp4WABQLUC
z3vY9eb`oq}q3yio=5QI_B)u`38$72DbtaAfBwC1<6Sri{@gXxOUzU#x5;aGE%3Aah
zir4kSzJ{1#otdrkrg9GC%E@mkC>$Vixc810e=~*qcCLk-Y<3t->BMnu|3mnS_`eZc
zWs1Wh%x>OlHV8D+5}w@{A-WS|E6R&ZaAPg)a*8k;Scetzi=)Sg530T8Pc=<&=~$@u
zH1`7W^Ka^ZNjE2mlV^>zTkaa8L##7}&tjf%3=E-Pc{)X0&^c-<B5e%ijT;UA70nSF
zGh2K!f6fqVpB0GixMhTsHP=0rkIoTEA%7KW_5TqkOD^#|ls3YTb+zXrkIWI*uR3s?
zjhiPj*M593oy^3(8){XvkLCz5U5(>2m)Y=ahopkNHWL%u&HcDk=7~)PIR`pB+3`8i
z=gjrzhH#2G<@V+6Jn=AO!R6vwPV87a;`VE`A^zIVTlzg&Ahgs9W?nRK!LvNY-s3w1
z>U-X7xa-Y^l^;*W1^e-!!q%da^CScD=5rRdOW6@KwD4n6nGdI8x0}w$Fp#H8p1Rb?
z4q6zG*n@vdP+j=Kyy1iacAowzM1RbIrd4xabpHv!(J^Fnx=tU?K};RRTuxlHdUe=K
zO$ZiTC2A9D`UpMe5%A;<7b?l5=0{dE#QaD7aJ#4no|?+90h~PedVf<{Zny}R*nc_K
zIjxHl-*!%=UA(wqFxBSUE(-hBbF}?Iy3lKm@cGfj2ZhLGeL7pkaWm)LP5wC@_-d@%
z&l}B;mB-`foku0GOQ>u0zZ*J8(QT2H*|8KG<1g>D%#%XT+POQFg$|t31tmXk6~c?(
z{BagnWdMzKZMiWzBy1dXm)X)lhCB<3j+29}y2L&Ol8*LCvrYE`Mc{AKJa1AZ56)q5
zn%<+sdBP^(a)~IOR(7XN2`XW=xv0G19XdX?y)fUaAPyRT!obu9WrRA^?Q|@lW6g)J
z>tCiypn%`arQ?ALLdOd{Eq>8q)O9DijU|Q73oaXiCDf1})h?^;po3EDx}D!SWbmXr
z@K#T}Iyj|elPYU;up&F*zq>zWA(S<}`?Q`W_!IQH)lcZ6Z})fmZN1AN)w!-N`n?vq
z*Yv+>@z6u}!?A5e{E8S7EOp|#KnL=L8L^@Ius$`m{&}Vn6g9n0xDvY1wAubo=aT`p
zY*c5&eNaZ$y=`9d(|TwsRSc6TV<5##*j`jj6|R*@{{5K-u<7t$#(Zjs3w2T(!rj#1
znJV>4FqHwWfe~imTPDW;%iLw0sgBP{3+|)a43XSfJm*I<hP3>zp^$M6oLkBD!}^~g
z$fu9(N<&P*n|o0-*hUNYGkcb=KgmR6p`C>zuNlVw48CTb(nfD7zX_v}iFaqhQ_dHf
zBVyu=U0xO)M+Jtot^P3KV{$aY<%9(S<=n&+i*<17F1P5n_e^N1IXDPyutKxd`8>xo
zT@)qFID`Z<kx`?#;;x1b_FZx35n0r!cuVh=wQYt75>q;`FiJrB-QNGkyYx_&a@kdL
zoB`u`_OQ7BfYi4KJwIvd<6xWhkMaxyL}gFwNX4_j%9;;L($h!7k;ffDi*xL>Cq;iP
zY~dfW$1Y(&4>x`bsMb$wLq2YzsIkTtj(?|@&U@)WrYv@QdzA)~@~?3!>e+$yBK^>p
z+q#g|){p#hTopb+dsn>QYlpZ@LHE8zo?bmMx8J~23GUyWzGg(&f!(w!Ph<-n`3q$H
zS3OxY9e3!_J!OXnV>|sm{n3I+6}!REE^(MW>~{5YwL@;%P<@)OCi>Wn-j!|;!jU9O
z)=bh4ubnvGvDd2O8>@KPA+<$6PEU4zTVadX*BmWM3Tm*8U!{08<u6fN?k!Dt*uwAH
zi8rePRq#RhWQdvJ01>c<zm-1Bf>MH-VayvP)bNHWD|*!sp;oGO5hqy?7*qV}xmf}C
z+f=JIFSL+OtVH!lP8N=gl@0%~mIDtSbUsk&CEI_vhUZ*b)OmSoXo-_Fmi$||zr=8u
zB!9jus1OCtPKF<#-;ltp<n4-BpD}XMDWOE(f`D9K=%ENcF`Tb(Zs-V_AnV-=Gb=VN
z_V<Hc`|_tW*xj1@ZksSk20t>I-EqtshQsLxf|UeuXnf+%CGIJ5uuJBKdx{nOEt~Rk
zZI^&uMP>MN|0HSfKK|RsMoZ*ZP0#<X=0<$-!6WQ@C&_&O^7<TJORQ@t{?_t<1HZ2J
zyNYH_ko4&0_RA|Quv4!*#-n_J;C72~)_yTg>Yqz^sBw8YTC<7Ii4A`V_h)xHOp3-x
zbw;AB%tv!X$8Z0Zuy2xR3@Z|>${Hn8;+`gO)6G$q&WgGfGfLDO+^Nq`9U(JrkNd@*
zF#~g3k-Vep5TUHScldk8Fu8Rw=;yvg4wBZK4UHasgzq-F<7ZF(A?N1F9cy5UeXG0_
zy;Xh?5^BxaIUR#!MgzZcU#1Bz^asAUC*Dr5e3J95kN+k$dv|dNh??NHvn`i8XDhKu
z{J81(ngOy_gSZuT#uz!*`EQ+jUr%f?8PIHX`$gssF?Wei7-3a|fdy`s6HSdZM+-9g
zNh#F}oay_F;4=^qzxQz}!7X*{U7UVD*&F%j7<V5Nq1*lz-d*y5e8}3G#WmhXHV;ni
zmi1ly$6d7ha(-nbE2Zh1>qH-^{zNXOs^1W=j;XJ!Z>uIZ&x@9QHS8xN?E?b44;mtI
z_JVfCmUrZg#?YKlc0W07`{R|*3<G^1^qtCb|0D0K3QXi}`$e+z6>MQ#U?AYmu;1&2
zR#HTAUG4W31LQ~c=sI0V26770kDN6AM3yX!?!tlJWWw@^-!aYxNDX}yrs(#S>}%QX
zKiWJ<N=g?#>k8AyRIcx(uO~Xl+R%?NPmlZ|+vSTb^z-$QzFaDh&83qRI&8-`oHI;H
z)_qWP?bk)1YJRrNSQnYvu9EnwY=lgxl}Uo8F2t6see0b5lZ^hfbED<>DA|>-^P(+4
z2Q4qxa;f<Dki(uEk0m*cle99_Eh(hq)RL9qBdhyJ&cRE2Z?;a5t8`+%)pF3WZsxVM
z$=Y9J-p?G5)fcA7ZCmS3(6(sfuIMM3(}#bP`x-MItoNBAHO>b5etn{aOOI67CA=OY
z->h5z=Viz&x#eo&b0eA-Dy$lt9Tw-QzhHsRcs)m+A5C1MepC|^G5f1KIY-IzxLmU#
z4L0h?DkY)X4h=MTo=94Hc8uJ(@$HH?m)WV}w0SRkCk^;^NDl<5PLNHTujzY8aZ)E=
zke_O+)ls=6B0=K!BzdXmK-tPVF6#Ey3)*+>)N!tVzZJeulixP{7k50Hhng9tR!Y86
z!|~-V`46~eNr!L4{cB42sE6H2yD~PaLDJ;f!vK#t(%+~5<+*u&3YDUd+J2~F&@9hH
zVQhh{{<JXX8YW1+bFMLT4^zcb6}`T_-s}`(>Kwa?B8^Ip)_E?hqKeM-m;L3&I4H*2
z(~16RB9!Q`&yv|j6{MLD+L&f@QSrHnJ^YShRKU-zbv_qWkf%~Pm3oPXN=RPS7p*8k
zeV7#F?%JS&k<%xRTuI`imKWb(k5ZDNe*fuu=A^EIHnP7b<U2n_@?Y^Sbe5qe&CVa2
z6;MILso?Xv9)graxWlr#5;<z(&cy0_JSxz^SM%1TG%7sx>DV4O1!~rSxDhR_0{5YM
z4e`q&RM3;LSNju{s7Kp;o~1jepyJL+o)7~uYQLG^)03JilrOjZ<BPE>5O`bmBz;Dl
z+L*JdzqLh`3ich+&f!wU_+O`F@j*#ychR$&<}`K6<9=oB#xzwpZ5q?(Un)a2bA5{Y
z9HU9aCdK?KIjn|fs;*kjTjePKBXk>?yV_Jk@w5nkm^!RJ+srS0FHh}PWli(F(xECI
zXwV(rY9RP=^?HVl5~Ua(>O8ZcN8OIvp)MDo1?}|XS1)HPQ;NY9Crgb%y&!ql#dy%6
zwZinK99@;VnQf>%v&xWK37d@lg}V40_1D>~OpOw3{d(5Nhe>IFD1E;-$N=1a-BWKp
zG$<cG-c`>J8&T5^)f|z|hIoE9PEKKo7PXy&Im))%m^zi!{`97r5ne=x>4g<)Q#;Iq
zZlBaJp<Xs6Z<jMLLE9+XPpd6D)ODldJEihXs6Sy<rKbDMa7nr7_QP&ns-n!|_UTa*
z>hrgG=R2*-@kE{dgtxOkWx2-NCH|`k_3o(g6Y*_U5XjJ{eYt8tWvF>?vGX>e&b~~x
zjO?|6O~m9Xg%u3SZt2GXzjMY^ul_`icLAU){i0`0GJ|SUzoVRDVMN7xH8V68^XBf^
z!}n-)4C=#$)Mk@dL&{1gnYHSdEx5J+jjVXhpiXlx_&OOIP$kQoIM3AD;au>_2OL)!
zl>fBM&*Wx0wf+0SUv5G6DCEmI`)yHQ&Ls__6ATTCPv{hvevds=Bb-A=Welj{x3BZ-
zqLe9NQJV2J1qb*w_C0or*Q3Ht^CxCY%2K*k5*BRA4p<YycD}t)hjI!^DA`*jLTP0W
zaVn16<5pXaO!|9msx?qn?b3ZNs=Y|(*~wIUI7E%S*ifKJRSrJ(Kd$<ROghE;X}5tr
zJ{>xCY(7k#g4D9m;L<iiuX^}lOST<cH=Vw{%0ZQKP|FQ{>NZ8(_!gU3CuN5(rTZ0f
zMU^R)=JCLZ(;TR{-1n+E+!i~vE@?z`$y1kZt@>>Fh!<U=<EcYEEO_1Xb2-v1Lm9@k
z)D<2Qz|KEWHwv9tc=*v@ZsMN=CEv@>og*X!wOV!mlO%B1W5cd5dqpWv+1PUjC}DIR
zcZo_hUd-J;f^Heu2~k{s<2b`TXfS_g^#1BD0vbcRMBZ5QQF?1uq@21<L*(W&7u5W0
z(8rx#QT&R7l9hNzHQcAcwcEZgCDa<X76b!vf0k@5C|GkTh6aNm?mFvaE3B*2YN>xY
zN=~HB3Y7TMpn4{5+0q6}cs=Et;Xct#wne`6du%~NycX9-0d7kub=_23al3&$bLGHb
zga8eV?V_hwtg--pc-jq=R1@CfcC!Co2}3m2G~;vJa>za(iu5z+B&Z?(t`||lc=1A*
z&hg6}Zxmj~T)!|t*sCQ)g!l`iGA=kse5E-wzfIel9vCI~|B+E~`-Gv^P_K01p&6F9
zJ80!ToFsJ59ggI<C5+v>hg^Fl%^>`V49&grmxyoZ@p;@QjGiqW=Q^WIQHevWIkkCW
zgZYT9mk|wT(p4vo*-i1J{`RjM6dN*&qKv1aXvmPJ=R6BH!L*a!YSvZ`Wckhtlupo4
z?Pqj&J(mgCt~!<}edol)-mToWCq%H`f&bdXRb$A^XqPy6aO3FCG+ALOQB((iqKXua
zp>Q~td-X>iTpQ;z%We=w!<0;8)-xk0Y(A{A*@X|ipL0d-CW+zsx`{K>E=K6IZal$k
zSpq-Bv%F`|iz7%|io0WqiTv^%z0RHjusVKRXEss-Tr0A29;7kh=BCT{b$TgkT_rM#
zG9?i;ZN&9t6BB-dyJ=7E3t_X(%ProWQi%Qi)xlqgiJH_=CyT}RD>=S<Tx>1_!QPQ>
zw<bd@3F>%QuOtF3j|tbUk7O~hN7+{~$q>84iG~NuMBycye5{dJ249InlfcD&W<1m}
zb-k7tZdEDCgb&LjPoybWe!U@BikdCT4&t~o@Ixz-R7Bi)hYWFZLrk!4Tki~#fbGz$
z%FQ2?(6ibhcc;D~B=sV@6`o7tl|f9~?JvqOw6NVwXBy(jR>n?3NE$Ca)LgoTRB)4>
z@62<1LsZTl((pPVv#6(IpscVOw%4M<&v&uTk3$c?%*rBP$bZ8l3w3O;OU)}>y#LL{
zmkYOIm*Hy3<97iEH85Os(@yD!A@0}N{N=MzfS9@j@7^3u+>?E}*N9+(%x+N-nN!3c
zP4T6py;|7Gyg1~S&%|hW-oQ|g653kRce<+5@h>}bK-$s>1$s&Ry^A^2)tUe5psNnX
zi@crP+l?S3dN(?|VUeH2&dr>mx`;V_M0YsB7>Ruj`+mJvMSW&h|MyFJXk3?X&vn2A
zw`Qa4-;rt<Vsj#XozRD^g;KH14pUsOlS=>jOdTSg-MiXs4X{$MaAWf>Gel>-pVWS!
z0Y~nP+d_+ZI9UCQOjW2kZcV+uEOuFQF)xYd(_|SCQ8(c6$X<@YC2M~@*r^4cS7&|}
zsxz>!fb&CJmjx7!$AvQ#wK3w6^Ql9CfzSh{{>G|S@bYx+Ev(YUAewKQ#u?yV&z|xC
zFKgWSBIcO4l8)-7&+^`u>tp4fxL-L*HVBxKnEaMW$4LA0{OJTe{LC_}uc{&t9`I`S
z)^<8%>>YS}7x&2hCq2j}f52UNFT=cVk*gfvZX6AwBhcD*VW1OG(R-W!<24-|L)p73
zFKNM{c>KKhN*3DfTyzbN(cw1pEX^-O1M@MBc{8_I=yy?ByZ5g)#$A$!PB^LIruVbY
z)=eyg&2Eiy-K>oj3o^Uil~k}zd6fIyC=2{b%ecoE>#D9w4|E(+1P8~BT90`a1dr>#
zbWGJmjQWN;r+0EV@=9>le1Zk#JAV6Bk~H8JshodqND9e{QI2w-Sjeenw%j?Rj*Elw
zUq*L}qvWUjtB_n4J|R?R#!U@vGlFrgri=dIbuD}L5DRNsq-$;Is_3d$xbUuHDJG`9
zX4mMlV0OpKTxMDsvE`gsY!vt)a^#5lP&+W!InQ;WMhR)A#oU&vT==-aJE?aOFemu4
zUJ;5|^142I{SP)Qzv11;%>Ztu1w6XRDUXvcwfVi1{}Ho!zkXR~5m+JW8Ax==qWbW2
zr=FZ?B6uW6<o=)y%HvD-$$ghbdD^m(ls6N^^yA9x?MxdeyH8tKvPogWlB?@f(->iB
zaU+)fxHZhB#MfQ3m%!#-j;pq$j}jqr5j<~5D_HN>-6)bL2Fu?E)P5+95(_=s0xs}d
z!S7ML&>t&N^sJBLwbvUZ%tVB?f7oh?U?cC71;aEbFEDxSo{SPTVNaN{4=oTfRH*VP
zMi@8LWFnkyjuFwJcPg&2TfnILx>RC>AY9%Vq`TLT6Otkaown^*jxDk0yl<2W;0$-W
z{ayP>V&PV)Vf0IL5GB{PdNcXKeKD=gY;uZdwwz{ZDVk%sk+*jA4?f@}IX}}jL$vHa
zSHg%i!@cnJ8!j~PLe3`g1?SIMLS5DOaq5^UmL3co9qQ+SdTIaDlalj9+gYL1Bi^R)
z_uTDr#heEhx`X%KH)TW2aZa1ePbLW7BPHcm#EoZB>ni(?up{rK=W8<;6F6*Yb82+w
zM*rLu3*RaZ43;O&)0>S^GewDb8*oE*#kM+54KDnmGsPlZj4>y9L0?{r8`2uTIhF2m
zL;Zp4`mLXhu#@xO`_(JB@h(5xKZ4GS=&zaWPxctWF!o<SY!o-#h2A7@ZQ{eZHokk=
z6HJ`wd2BpA$PKEabw=<yKh9^yNO)ah!Z${6^!-sDI7_RIc^+JfhsyuFdDNK5mS5TO
zUXd5sMv@&X4hZ1^_4ZzM<)Uw2EA5yb;Ki^?SMKpuG!)eFnRWRXqH(IG?Z#(5cnLjq
z_t-Cjz`xbk@6!yy=qi53`n?2utk3Sh^*|J1Q-b_{6a$WI5^2540+_0LqcJiqhD>8E
z;e=xhTuHuYmKVAdzea+kS9(bRHM6%1j2PHE96mEUCy2!ELDNHhlAxCH)};&^K+bnh
z^nnM$IGVx}Z*xf+4=Xp<nO-tL2N#X*Uq*vKXgZ(o8d)4PJ2G5hvgljCPq8g66Tw1w
zeMty?8RQQQ_)1Rb!`|2`E&aVHOro#<sn$`zUMnx(4R!jErE<B=IK<(RU-9#vrV<`I
z(mh+A>!Vj{OX};@5)d35I8m@h8S_omN*<IxJWHpRT0E45q3Ye#`7jj_X-C!n_UPkB
zYTX_;O=%>ZS#j}il`1%Eb?f*I3_z0@Da$LDK^&K$LX5OJcCWuVZF|Q66+5PN4j+<3
z>yKdR$rBpLs*1e7PKJRv-uTe~LLRZI2H&FkG_j|0pS<Ep25cjOt~6*WLQX6;B*k4D
z9bcL}3MUv?V!*v8GENCjxu<n@w$c&xG>umw+7QMg_do1RRYt@O*Q*Jub@5QCl$)?-
z;!gI1osWxDaKfTNIOVAx(!NH2N)t3f5i`?X@IO_sxqF>);5EQs*29~t=Zx@VMX{p$
z=whyY-miT`fq}1An$HC+HG%8bxHl!D8rW7Sf2Tfuv9FV*4h#!ZhznSf2lO>jxzV)V
zLC_GJ+z-7!a^4J+y<@&}gce@t7;N0K$q@6uYVL>inlI{Ru4BZ~M&D=6^Dhq@qUidZ
zY=^rAWLp|cHtEoD{j-$M<ZeU!*=51C<GUqRb}5zZn4&`^aoeXJB}2ruXjO{&EOM&$
znE2LY9i*x2=55Jgpz6+dgQlN0aH#0Atd-G4ndo%l*t`LFcC$aJ(E{QMd2cWC*2PNe
zzzWY5`e+a0NK0=5wqN$7NrmVlRq)j=eN$Zwltje8_hx}9@UGg}RTt|vC^|=c)5a5~
zY8YE53-NYhj=%ouVDGv!x|>}zG5zsh>kP{lY9|fV%KdbZu)o#fb&eVe=vA(x5w^%m
zq%=&^>7dqSx%<p2BV%FizZ<!>_}0!{pZHiCx3=^|{U}tx;VR$v{m&N9dy$n8r-c<f
z;??&HWiV+SDz5#&77+*CY8u=$!BJ$zw^~dB!Dsc#Jx|*rMKw)w4X*~$f=z0Uchit_
zYU7n<D{Rpi#LiI9P(!lhDXB*X_`&3*Da-z2p<+8%6U|Z;>%Gf0Qf0XyI(=DfI)jCg
z+VG_!P0D!gW%#=E<{V-F!u}%fBA0&$v_!28P{LA)j@m0f#)*cQp&EJ@5M;ud$&**W
z{E+*RO}__-&mTuQYeE2@SJ}Hu&&h##R8S(^qLZk~^bxHU2CU}}PfjkC!Bd?<rH^s{
z5m0(yyk;!{Hiuv1b!C#+9hh@gD5s1#U+|I9aoh$Cg6DI2Zj0k|wQ^2{lRr`L)|&Y~
zd$I4m6QpFSD5N|;oXFJ6Bc-=d57axX@bsNejoo`1{?Swkmt%!w)RWTS!!lN=j#OCq
z>?MSZ*q4&?C-X`5d(5PzZkFiIG37dYQ~)_QM8h>kQpi_L^eVAr3n=sqXEnF+;nm}Q
zFMq*ABFZGjDxz;WPP=beweJECdh<)C-n=d*(vQAOU1h!;N?$G|UkK$wPWC8Gr?;BW
zdU=#*`4w}p27>jKia5aRZY^h+HWR-mdG_k`nxV<lnaR*$hf-{@v+Jfd;&Jfd*--~G
z{FxJ;i78khvIDZ2eg*A>``GEXUfHIoef8p~=kYn>>q7DUVx=ykoYX(HNyHRClQKB^
zlV*t-2b-3UA>D+V>GmZlr%doC%d}}+;xBP}Q$}}QS0B-7EMu%ZWQ?pU`x>}9rU|b7
z?w3|>|4p2?I+jqn+ZgA@wtVpzo+9SOvc&Sc{}4y{#u8k=7~#(5Q5Ty16yfNytF*Cl
zgxGlglg-C1M%XK1Z9UjBNqkY!2op&iBfNT|W%WNYaZOS+>T>cV@jn0n0RR6KnRh(Z
z-yg^A?CdS$8uwoA#Wk}&Z=+O%s5DeYg-G^{uaKmKP|_gDNGKYVd`?1<-LT6}$lmkk
z_y2jk&*Pl)e!pL@=lhVSXVc%tFJN6}CMx^vX<+2lwBPvQA~tf~g?cPu3Hy3?dRlZy
z4G7-wMWksF8+uT6VKHw7qf>lvEd7!itUvg&^@X~GRp3*1mw&Bc+<ta^)tjmyc5p+s
z^urQnb)YOzR%;X6Q)~S>HAxj(wY&q{gO@RZ`)Bg%j?;lh@#7diqAGB(H~nmOTES8$
zJA$2y=piGrDkC~t1-v4>nCpX9v8;*C_y%!C=yC~(IftmwxUzRWvSJPUedOtW`KL?}
z5tXqt#YlyexMwsIl?}}AfMfNigDk*X#G!H0iUMUU=EL1>n^+@q*V7hdg&#_X*r&6U
zAtj3|yX`O?s989Knscy2u<qXujx8m)(*Ft>o}>qEQezhfkrV9IMG10em4MIng5=q7
z2DrV*V^!nJ4X4ffo9f%h@JC7(v=Jjbe(D_+70d%?gx|=Onv>xiBh%g~S!S4#a&xi%
z!3*t?Hw)f2lR)(N%74uHEI?b(AU0d^LqNafdfyom5R?bJHIA@C1yOtB(YOF~J~)(f
zaf1j+pC5hpC$q!dI|(e_1ww$IP2Sy|PlO}8GfFp=IN{Ow>8bT35!lc1;mY)RA`FPS
zGwPn=2Ac4rpy|hA@QFTj{EHS5(o>bAemn3$fq|2EN3R4Ja;MJpi4%d{@t{Cf5ieZp
zp|hdiCk3nbo|_Ovx8o1nPuGa@!#kI@B83@gIQBwOWKoR>Vve!W^4S6~I66MFc~lnM
z5<XO#T_D2ckLXT>l@L@<=U;vEg8(O@>)Gzr5+Nn?m#?d&2!vS>zIJ)Y!|Twp5Jn3U
z+-hG}m)t1^gT+(>g1913qN7Z8=*TcsxaI9CF9Dacdhe<JB0`8Bv#Q@;G90Mc<o0mb
z1vBTWe;JjK!FPyruQRtY7^Uj@l%A1>QXgM~{v>6f?yKJX=TCtJu{1C3Oc_{6zK`Pl
zsgP)Qp>tG01yVzU+Ign8-z?zz+AESOd=^qnXiipzY0F^0TnjnSA$~X*zEcgHE+N-@
zm1=;putw_=c}U;6@jh<59(X?4zjP5)hv&AJ1xXT$AmCm%u$VyunyTRQ<7pZ|bgu7P
zj3UCcv<IPCTOE=br#lk%XaUz>zbTmk60G*|jbC}J4s``+GFwCk<X3#2)>4$<nfH0t
zq&9VkxjY?a$gT_F2MvO!?3IC!NApa?M|Bu^k?7yHQy-k@4aC>ZQoyZBtYGH6I@~=z
zf8wLKAuz-qd8(>Mg_1*`&A(RC;61_R*AzEwpObea<OdZfxznrKb!tEt@v}>x!3b=y
zdu+N&DqwuoFlo;XRZ!}S>hJqy1UYkTgS=WQ&}S`b&?iZS>v3G%_yc2@n!@St%u*qY
z8QE-Blc8Ya=y5wu6L>w-qxr^x3L-fq%_~$z@M#lq^UO8@+m<D+_9zMrE;vl){YQW}
zry32nQ4`o-Qx=@)qzq3_R333Cmjc?}MQsZPQ_#C6MV4gQuCrKoPX4bV(A#m>$$7y9
zT;H*_-VP>#eek1;+%A0Z<IMiXXSF7v%+h(8p-vHOOYM|jJFtOJympw_WfMqtaqG*V
zQvmTQYZ~qECT1dW#CS>E1ia_=f7zid2dlq>xJnOAV1scRO2*HPA?F2y)~h43;9zc+
zaZfoN^JsJaU`sQGgxQ9?tQcvCIgy&{xoa3-$kuVsE-`{M=C>|3Hzi>r|M|x`_BniR
z|M}|oszz{I)l+>)T?`I<evo^@VFh<nPkpUd44~zB(O8jF82n^Rl_dXc;N@k0{p%_K
zKGX&dKQRHgrsb=X8BB+2EkFC7bH#xERm7*)j=WID7Zuv!N{?ufrW!KAhHx>D@~yCj
z3j#7s+YJWkkvx9SrTw-6G)?OCAJ%1q_qX+4inA~v@q?R}ieKx)N0Eu5yOPYX!gN4X
zVvHWW<ZChv?bm~VM*>MBZuGF@`hRC1J)uW!B4KYk1@&Oqx_oL@bsc;4x5$rTLXURi
z?ygogx^OC$$?dwyBF3(`?>GHVI+SAd*4ysRZV+tOc747!joC;Qx<{R-L%%+(U-0bL
z0SAG75rMZyF(pEu;nkHb{9G9}Afm1V2WK4Y5_S48J>xlpMuRQ9uynP0Bu*PNC&<5J
zQ(G~$wwyoWPd4$u__cDsQ7zyUYW8G3^%8S>rfqMkx`|r_t*LmJYk@1<ctQ_TC9ZG!
z2QwVoz<*SG7Dkq8f=vdowp_6dPrcYu^zi!zp5O0S6(p?*kwxEBjy81TOLN!FmS#3^
zWd)lak=q)8mRdf(I5>b)_!OsTrrY~Eh{$QNYJfuIE!C#eBe+^-V{3E6CjRD#eON)H
zI!yLW6ly7t;kRwHro`j7@H@P-r6=gsp*%YyMBwv3d?d3XOVxx9nK(xEC`Hp?^`z9T
zw2W!o(=Jkrxt9*fyz2PN$w338r@)nXXcjLxzAn+1LXRf>c>-oq)!_DK>S;~7d0g7%
zN-uI}KthV%m2Glr@V3^xulMBw?&#v!)$PQHCR9JS6u(u4?}vAZU-ekRf6E>;$_iyd
z8sfrZ@s_GU7aVb|UvmZ5X_=4x@|GEG3L5O3ZBqeL3-*8@{x$s56~PbYqB{_G5c_d9
zUKP0HyR`a(eFM+(=|%ootf*ml54vYZh3Bz-pN6HkaBaymseMP-k<#&u?~^$c_+XXM
z_pWd|UmJ^4gS0r2m{N59g)L>U)$gwU`<ou+y<-jyGvh{sa%;ZV9hD*PMs0o_i4p0@
zrH{j29>lX`-ag!@1Ziw0d3v{)kY(UU(^t{F=u@HUqQM>|C^rt{G2mfA%?D#}m3}^?
z)^+Mk@E0<?X}b|TUa|w-ysPdueo6oZ-c24aK1PO}S?}zx1+yV@+UE7$8-hrdRU=bv
zi3ImJJlp+TIMBU>#MH|lg^}-Jm8^uPBslS1oJ%)?3mqb}kBbzFqL?T)ot$$d5b}5x
z9P)W5${aQ#J64IK`E;G?+}$LQ-h4<3l;%aI8+b-2<1S<{ll31_js)7LA}*1G_|WGw
zp%GHMrO`7lN*tNE-KQihs4ph?QPH&}ErwVb<Wcb`gS4Lnwt1=34gU!uNzY&UZzg3C
z>z4CL`5Pp7>$CH|q`EM&A2=Preo+oFYh_-_n<c>*&41tK4pG$DRhGJoK><0to5s{f
zlOZa;Y20l~3}ppxOej59M8JFHImt{3H2RkAw~9)lN$t1YrmiH!^6ZIfJEjaV65)@>
zj!L0Vd)L@GX-df0O7<shTOSKY)-RTKNu#i};)L^z6qJ&X=TP*I3RHAw)n8N=dA~gN
zh5DU}QaIBh%k5O5_TFqp?l}VTx4d4qY@v#pRxX{JIim)yF?E7xD&)}2`I__n1T~a=
zDStI6i3ZIv&ll506;SsJAvLK#YAE=+SGe*&b(p!qB1;TXM12Y|C4=!av|;)y*49T8
z%xCS6B(xHd;?s>QiQMXFzQ1sRuuB^fvQl_Nc9D@=$?r0qGwO&_CMv{oTn9K4C7k{q
zRzgAbL;fcN)Y0J`4KE5>b)mI6M&8;(85Jr$yW3)}jt0+sU6-rXhhz(hG3p5la*@j}
zZtJ9>dUc*7^Y08{<Y-<~ssI)7$`n=8@1mhY9S$uD)&LBwJ01nyrlQ>4&k$8i4XrzH
z2bI%|AlIDm-K&9$F6>~956M?S%9-mj+#5zP+izg$^MQ(<OjdY}zfeZaetTHx^NiuM
z!p`BN&Q!GTf~`cL3keBrXD5Mb0;Rtfdx<y&Rg`ew2%D5gilq5<qnjqs^m=Af@`o~7
zXfaN&bd^OcJ<5C1KAHgkam&BP&y~=s$LJhoQW70vKnxYlCNS!k;yHAXjDlOV1R~vq
zk-+;;-rDa>fXjSfy{VdrTC4vAt@-gH#Ympg#j7UZU%MP1A)$x_P91ipTCt+;Y~J7}
zIwoKh*K*0lK^_@ZS{4@V+r<6w@J)^mW8nNk@G-hiK#_O+`9GHb!{5JQ7sz)r27UWr
zxtyOe=vCA5t?KEI_)xgGp2e&Y3?_S>tQ3<*sy4CG?kc~rCzW5Y1%D$r)hV04zefU%
z8jx*b`KPc|b=8P3O8{OX!r9FQqKG(cW6Wi-%_AKJM<hZ3tUl&2?=28QMRIG$CY@KX
z-wg+WxPgH=M^U!bZ+>Kzc!%@-u64}Gv(GS+6NBAskKIll;6<)xFK%sBZD6=zl+ZPT
zAxtX1#(BE9klJ{o0&Bu1HnX6}(`sx0WYUcej(9diUG&*=v1}9LWvtGNxu6e9-&HGr
z<};(SO*exqJT|eg%KH(K>3YB$>-U#ci2)(!;X8kuH?TSDlFQz0x^P$Q^|YD5Cf=zj
zs1ZZIfwfN=2afXULI-1L&f0&=_#w)JlLtlDF_DLZlD@}wgVnJM)8x20+}~)|Ujy<Q
z)^kzj_QR(-P-T$qWotHxn}ofnVli38@~sP0SC_S6$k9rMJ#+;Bd(^_N$#Vts4vKgp
zXQK`FdKS^j^1pHBPh%AWua_}?A2Y(I7g`XzRpCE7)P^(Vrs&)3TE^0hEpNvNXu<Ta
zxgG~bgvXz>iN5%J3CsRhHckrD1TPC84Fik&*fqt!zM9TUSOLq`lip(*5Ro-EJ@}&<
ztIDvie`C6Yk&m9&CfRGiq{6Pwy8Uff%mGXGqc%&J_@QTOa@)RjtZ&5Yb3iAi(r){c
zD}D*%(tGP*XrT_$Z5y5f?0wiptMJ~(3rkp)>A&Q|^)&bw(Qq<NdJwx&&1LxI<}#M|
z&NI#2f(C{*12Q^XBUnyY7q_|X3bt&W*}~DL1|R**xHx)8v3UEQIKqKdjHhEy@s*R?
z{l~S}O6tKlCOK@QnCP>HMZP|N>*1&>SZ?js&N?!Q)h}2UDm1NQ5`kLJY=c$7$r*Jp
z#!X|Mz1${)r#CV73(bZPxKzR75cOEv^bE$$Wu21FPX~HWdK3Q~P=Vb$%lY;>&tZSR
zB@HkM(t}v#c;lNZR47QZ(#;*2$2PLXFn3J`cq)9bu>_|8!~IXWn*S|gQg<{uS^^lM
z;$`K)91{gPLdct*YRj1Z#n<6iyO}_I*IZ}DA!UdYqi5}+U&RC#_C=7+v%p!A8qtZT
zO7P&-okPM4Yna)>3hCuGx1MSy7)UcHfqvP?t;wC6ShwXutIG--{7F>TxObimo(h>0
zMM`vlPDN8@Svf(b&z-UH8wo}_re9mT(nIrdewvj9H&ph2+HG}!1fy2dNskc&$kTU^
zOgQs^iX*G;&w3&pC^2J8(q@7ZCUJ@k;)Mo<5r3njM8L@05e6;H5R#qlwby_jj(zrd
zm-$Z-=o7spmg0B7VEXR>hF=13B7|6|e_IiT55+1P`LV&p#7jLwPlaG7VoS-~qX-`s
z!W>&;IN;k8pV7mqBA}PU8uFA)5iYT}q~5IKf_IGS^fzCM!OIi7io^R9;JwvC6(-FC
zq<$tT?{x|IqB(c<bAtl({<j(aH;@+=Ld^}sf}|kuQ5eJRRs|TCA8hFP#|K58&DwqZ
zGVtpL*B}2`1?Yabvy>by06Z@E*>6{6A^B*%VurdR{JX!ITBk1rnaodi9p#gQm>ahY
zyY4B1Y{IbHWl<4Wxway=StbvUc|}AYkcqH~WAr8BVsJCFJ|HYe5wygAIWbHSA?udn
z@(EK3;QIC<|AZw8;_=9LpNB|ru6*|UtK?m<`R#4ULoFrvcyNqGK|%>^ge#v#M@vH)
zE1}C<i2~n3=Fm2PK>BX>pQ^1g5R__^Un{2q(oaO@bI(%2MLPF_FqHs24o#nzw|Q+P
zZBC!ZSQVly$5i~&<lruU$(hnnHOSuDU+^tl4LFLZTqijdpw@u7-{Lq8EbrC`9vh><
z_k!5?$Y@0fz3EBi6<3G7t|Mk|qcz~j-oYg5DiK&}szhYps6&HW^1jw>zg>A{qF3e|
z8D5RCj;-#}fG+mRH?MScfd8Vx^*8U8AZvfpW&Hyh;MREc17W`|TvxoZEIp?ThrSW`
zaLV@j#M45@-1T86!$AA+76lB%?z{fj=2<q^Xa%L)hHyW<eK_hT6^>f}I)9fz9dZW0
zGxr?<_z@-)w$DQa^aw4w%hPJ0ApPdOy^Rq(Au{OcmZ?DUGjXf4+uVLL;@aS>hA|kk
z5;s;$RiJ|47k+A-0uo~(Yyu0$@UyzwC(K?2=Dr@3@vtU?e$JnKxow@DYTA=?v4je8
z4zn@OFDroa!qx_P(FF24ML%l4qkv?bT~~XWEJRt`MM%?3!7k)CJPTEZ_>Q0>(sw0c
zL(=(Bhmk3yui00b&?~{Y-xv3{x(mU2^)rJQk|`)A-RL`DM}iKg=MyKYcY=t(t4AzT
zCXgXZhkuV#gxI}aBswi7xJr_;<+*19Li&ruo;-P|eVoLimNt(WJk?DP*!BrOL?*c+
zKM){Kc!Hm1)`Fepw7;72+8BJF+&UQjO$K&vU3z*pV*t0E3a*(@H->#BoaZ|KNP$g0
zzg_URIebg5qi3zq2wuzl!w1bJAiYD}+_Y^C=L+IPG({uOeay77*((Bb^rmJ#KejpL
zaq<Xf7C`1>Hp9}Vf}j<B-O&6u1Nv`{*IiQ@;H5%fPi8J3ocJ?bT&Ko_POmUdIPJke
zM6`Hv{Oe92Buq`v7MPGHUqUJ0VM7R6J7V(nBRlX=7>)HUm=S}4;l54}1K<}Q&QzhY
zz%k>c^fQN<k^cP-Vn%{K9H0CgE5^wHxlfjTWfYi^amK}5#tJ>K<)ktE$X~}qOLbDO
z|6oEbwG>+Tj4q@-(&=uaU&Kz^Rr{9sFri8(jw}8ux{%SZ?@Rd3X^dxI1H&nHCbW`R
z+F|Lx8-8NBEb39im~vl|aCi<Q8jUw~39QnAjn0n-0pcAP6G1W=w`4>mJ8pZr3F*M7
zvah?zNCnnnYTPo*%82r6+3pm1X@iCb>n^P;IG)&8-{ITIfDB8uF7&l%0UulZ<sX-R
z;Cm~o*uy_DAiRk3C09!eM4V+Pq3wP6eYcv6zI6=9psT9<{bNl?4!pMh!)*jFzA>aF
z@{a+<y2Xq4@oK`0h)%tYYvZ`L4jpr~3M2YMeza#OMg#tPd|xC=ZW`ZoFtd!i&4>oa
zh@Fq=G@#MA+(*oD7C-+=^4LisCUopSq1v_ZZ9e7JR!NMS$LmW6Cw5gZA+4jiNxk&{
zpG$o=nM_&4t>+@T>!O*FgLq)S?sXcpx(JmeKU~H+-kQr_@@7FeS;l;)APr{UkFr=i
zUB#tJM$!&O?Lf!>rMjGcss;ghc+&aOb^LX^uwU1ER>X8hkEEfi28^2}j~bgc@$L>{
zRGkDnQe(&co_<q>X~A0t-2c%b+njJ-{yYvep;o@p;=QfEcVKtd6MA&@$6WW)87_2&
zRN&SppbBsN!jwik7|;hZ0xzT4PSh};5yBs$0<{tuRC5_7^w>X2miYw_@|s_#$^M`M
z3QlJhh+sy%&S$O*w)3LezWn>CdQ^yeuz%5RnFU#pD%YIE_>qtLy9B)=3e*Q2J*pMY
zis&TVdf$Z#pt-M{^_)}+l)Nsy(PPApvO3E2>9@I({pj0c>J`c`%au%t73D-Dfy4yG
zOkw2B?=r}HLK!r!b9KcCb0d?zd-|nZL=m}D`hz)}GMFD*xpz;B2XQQ^UHfV)j-Z?&
zukouA<XG)cUfR!#z)_w!<RXbW*Ix>?KT!h8>WqKfO}=e@zVo#=TMB(+ZckuLQ37d{
zdU9!$AKhshQR!orL4|@ZGi@`J;6R>d)mH~WbXw(lY^bFyVhA^g(5TzyXq(StmllMO
z?b6Hu+j9acN=lKwDyR%B>7o6+c_QenX!w&VNqJQGWNqS3tTK33b*bD47DE9S1`?&R
z6c9h%y$(f13hd0!UdAp+pj%R<MfqApq|s^o(q@qYEN2gQF9z>IW=`+^;q4^k^^bne
zdyNYA-8b{U+e)LM16Iq&Ba~1f+ul>llB!U0ht5AINCy3kzz=>UQ4j-x?{?%bRbU%M
z7GLva(YN)$3-Mp6=mYnsj@*xG5cUL5>K!7W)kps4;wh>~_O!$iY8?&E6_wviQ;<hq
z3JMc*!>Z^UEi9LDQ5`CrpErECpn!%V?Y~rCQ$x-t7hC(yG~xXBM_G*9oJ?M?_u}H9
zp#f=bhkq4Xz&SsY$~Qzr55_8g2D;GDJ^>XQyF)rqXwzVn#z98s&M|c~rO?oN?}|L%
z)^3nyN`C4uri7M0gd8ilK|@4Y6P>~jdhnp`y#N=hGAfSQ6J)rThWZLtJ1#^Tz_5Rv
z<%_S%h)JgRvg}7SB))bQe+(EH<z%jqPEnB0CrjX4S4GJ?IM3?%1H8C=ILPib1zC_^
zs#eddpbz3g>c4c1p!h=3{;DPl+NF2yrdkXI6%IUdFB~!g#uU3~xf}}8)TB!yeI%n3
zJaNLZzQ*8P_{y|emx9dpm`z0BiYV{sh3@@*#&CXkJonBmWn`Ll|NHNUawtBd>4p&5
z1SI09w+T5)=$wIAJT+Jb4a%@Q_p>&Eu<YgqN-P;Aa!Fn=?2terH9cW+M@&Fo)aVbz
zfP_x?bBwu(38P;bIo}-gOdxKzwb+X$MI@*tE6vf(i)!Q&FT3n8fm=$tv=@675Zy|z
zvalmN`ebytbLE3E2)^ZRr7M<0`L5Ta<t!LbhLk1kud^{6?Xw<j;vt~I_qtLN^NaYk
zmJ@C7xA{78{PI3CKN++nQo*Dd{09&0xo+o`U<BTsgzictwSCX`yOD4$er@kwI4xlW
zg5u$lmtRXD*VnPqEZ<u&<5u=mYA(Rr81Ax=W>J**=bl4<_W+h)f!7YJ0Zi^SXxb7G
zMzSSJ9b-qwFtfW!ty7^GaJr4q6XFEW>Wwjr8v7~Ckl;%Elx7I-9c3jFYJ5m@(L>FK
zHiO+hbS5|Qy#a`s$FJOF=Rs*HJsGwWGZ=5Y4E?VmeK;iez==tj6A6E%?C@Zp#eT6n
z`AG@t!&yEC<Gd%V2;CCVeOfw$UEyxzwy@BH3y;f8p9V4`%8>><kaY$tUunLkAEyhR
ztR|f|vKWv^iSCpOVHzv!v`;N=+6`SAp(0kh=n$B-o%K_n#CpPPdXI|kh6T+*k6m?Z
zxToE_B)jEtEM7FA;J2F&bV`X{%<Emk*NG_~_Z9!ew(QOXE#ul?6vN)+e{ml7QjLF8
z>i!4wwTU7e7T1Q@acyU1j~P5a(rL6tZx}m(F{T!TYQb42^DeOm|L}Fv&cI8gL5!jJ
z^r6Z=O(+hpm>}`|#RHaHkAYr4)-RiN*5-gFF!A)!i%JjU4=E~rW@Epw+I#H()XOwr
zUZpugvAiGGOS7b|zwE{?wTK63kTpOjK&LJyr5B&$zCCojsRPTD*fb$$s>9+22++j<
zNkF#0cHoS%hRh=dKQV^F^sFgSb)bwaCbOx1$E&<!0`F~n!=@~4O`Pu1K)FnIWIUh+
zFS(_B%8jiJb5ZjxauT6|ai4Fq>$Q5E&)iMA#J&Z);oea9?SUE;72E4A@2J7)+!pNx
zh8wXyg<9WqIW^D=jy`_kAi~Wx*nH@3e#LqNXH*{+t3qFC?WnA88D8N-yPlR^hmCo>
z`TNO06&(IF(cYbXiNE?~8QCHK1+$rza-Vvr0(AxzzjdQ>@FDKZpAkDgV|!ozcG^=*
z1;5hT8w%I%;)?l4;#7@mv1&*2$}{s6;Is|$D3tfX>sLhy!Ob-o=fH@t5Rn4hM>W*8
zI%2T{(f1oh^J_38pQK<TM`Z}8?XG67xsUmumc+OlYp}<7n?c34UI?&F)|O9ZW3mJ3
zVL_U;n9X;#Wye7>aE?FVT#qWij>5dqtG-&Sb7IADr!pBDCVc+b55B;3RcZ{(8b4zh
zv$qar{r^8kS|_h&ycE0S&{|cv`UN99(xtC_B|?i-*qepFZ?Ntc2dj^`)ni)9Wl9UO
zL^$?UF8k7WIYzT?c=J%K0ecd2XT(2T5sr;`wbZUxVEb5o_kZVU!Vc6Od3NfT0_>4|
zzGGGZVbi6qdmk#cV4-OX)(OT65Us|oBa45;E(SUsW4hRiJy=#Ro_r<`@&Qfv??ryX
zJS~%3bi3QIc_W>>4#M)lm;9EU?pzJ_>HhmZ2mkNbMD~l``fGB)>{qu})Z;Uz`=3dq
zEcO#i{D&L`)(Ifwsa4hcunrrneQSyIJ1`LiV-a~j0(6BijNYbe!0I_n_lWs+VN=e_
zVk1+su*T|mcrd*QGj4FqtoYM|1v(^F7+sQuvJ;l2YvnCiOia(fWae*7x!666Fe?M+
zYWWX*-rt6~cQIxU*z{v9tC7P&K{7CHT0X-`{~fC`);KG+HGp+h%<HK#$Uv-L!K(Yv
z4=mqmbv~tY2<zXWL(xr;23M34xw71j&Aq;3ap=zo=K0#m_PUfbT&`Kjwl?j;UQX=E
z9j5%ngxEQc%b%Bm3=cAYc0&(lu~IvfP&$tN4*&rF{|uLTIF#QT#zV3*%nW1ShOuUu
z#cm!#5k)FXR46K?l1M4?l{HZzp+pNRk-ZX6zmO#<C8_KRMN!C-{N~?tz1Q`e>pkb(
zpU*w8rD`SnvI2CUtaW^o+0QNs80%gi`Gfs{Tv>JSg*-?ZUF<P+A7txXO#86^<rF)^
zs&{8Pmpq&^(fGtII?Og*AiEuo`Nd}ErYXu>%YkE7gU+#EBWx9cEwTv*XV^FIsn|#+
z$O64Gx3EEQl+7dhs*#d7$6o6ok$B_149vFwx7_G8&KA8uCCUxYv)}d#FMZdN0kMHS
z)e}Fyv)8^+4YWA3#AZjA2Aju9L;8o>>44@R?6}dvmtTDUu?rQq%ukL{U@>F0f7bjI
zJ2PcFcj3!bK(W3df6|o#Klq&8Wgh)vM{O{R+LX=>qv8wK&NNBEKJECL{JS&k$>voj
zLsC~m_ZY-AT1$bHa`ENj&N;T%*%y0DpRa+4*&Q~UTO{GW?BIJRqXqV9rpzU6rT|>G
zviiMqha@!XbKkY-Ut(XJJMrq?cOm%6`Vy0{NQRx~ugFin`N!Vh>$@lWhbZI}UNmbi
zB*VPMP0wZ_E~toVmEcnq2chQs^pt&M(Ax7L`O0T*h+r#^?_QRGL8H(|W9DSo(kgRm
z`@m}WP!UimBt!;U**3_~BtwDMtFi-feDG8=R*1_*3RZlUx{c^$sQvIT;X#G~ypLLw
zeC(Yxtm`5DJh_Vu+@EfT2W=CEQ+z!;E3)JuCHNwbOC=fHQWkga-X#VG45E}^ks|2U
z`Gu~vkOZHdxiih);$X5l@{dWhGO(G~emQeVf%{ngj@!mWn0FoBQsk}*9RdUAghVMo
zBK+_9k9A~l*-wiJ^H77)$cp`>U};dglC{m?KPf2vrsaL$91R@8d7<4>7K9#(Io@56
zhEV>c#HCM~u(H>%H9TG(_VDbK<GCvb4Q~r9+B|ijYnrq{ldc5*4m(C?(iOojeP8X*
zziUDCNv*cdf-?9#i|ZTRsSK~ywX2Hv>I1i0a-<KH3h>cRXIe}Z49KF}$E*$E%)^0K
zhn}kgyU3}3;1d;=4ldXc3+Uilyr&~(L=&=9c`6^*se@W@u<O-j228!`-#mF)7u>3%
za~;Ywpzg$77Xu>}41RGr_-8^N&dkW~c~q<gF=rlb+iGP5&z__Vk-g~Pdq~L9?6wXF
zTWc+JuQ7&gJAYFhh%A5vy3TCET8L+Kf3-Sl4B@&Pcdz9)f$62P>vC%P@Y{n7zYZ8f
zH9Om_OT!!v1Sz%2kL!bFch-L5kP*-upEMrZ!G;YXeNlz624G>NH89i00%6Vhz<X>f
zsQ)gq)cxB43b)@rsHVXLitllm$JN%rvT|&-)-Z&rBO=Lx+;niR+SqB%V*_!)?+ker
z3}L9`{cu~bKKLHZyYyMymUHjwBr-Y;z)ROMH<YCff39DRo#?iO2|Xch=6VC5E?WC%
z+NlAF*L5$yvmF$-YWsIZ>BF~V&(=+C3b2(W>za7V4k~547KvhdaL4)FW#4ilD87_U
zXz;NE>6^Y3^)?-do!PZ;eisi+l7cNZirRs|c}t!+M=gLI9~qgNui0ktN87qC*upcB
zwR=X2Xh43e_g8FWzP?t}N(iQHfLFEcfW<r&3TM)4LJ0i$S9sT$fVB-cdWW|@wpW2p
zZ_h>jI0DXnarQWov<~zms_D9(iqI!GR9M<i#E`{~dHXJFC^~JdxZo)RVKufF?W`oR
z*s^`(J=Gf43ndFh-6lh!*4@A7KS|-u6??v*(^l}cMbId5ojCNQom9T`k%D~*QrB7r
z0J^KKesP5eLhGx8;R}1D@ol2D_u0(=69oYoUx_>rNnN_=o-K{<t~BuXTw+5jGvlyK
z(>z=6n8hv6OlhP#1zzsWwgmPz!WT3DadyL{^=F)qO5@0~sgX~O1t^7}dwlv+_L7(3
zl^-l=tp9AXF6pZ|$gp*u@SN?hH`h0qmYAa;Sz5d*k;++5nDo7tHdRldg}0rqq2TF{
z!E)tC%%DXiiLzzae7(4@Oxm$?6imy#;hfZB3UkD|Kjk}C>emam``Y?aFwuGNPp7Ua
z_+&V9%XV^OO_0YdZlR#)0A+J@jtLx|@p<;IkQe`KT6v%7LBU4H$%ZD92{0VQBQ{&|
z<J-ONBYRI!@Wgge;eYAI@Kbf6`)`gQmI%=714}75XYjqERM8l8Jzv+7I)u@ixBM}a
zTN))+l}(+0XasVSk%Wd`QB;y`Vsi&cqbzmuozF%iFfM=Q^I#tV>vJ*!ntw~<Hq&Wa
z*+~}g?90h4aTmv&p!P!>FUw%!z|w`f3>Ns6Fm72}OW+mh`cO4TS<E}0lO3>u1uxtT
zr~w*8^f>*vtzBLY549vdw&P|2`PLEfMiCNr9y{Ec#V3zkt^3-pH!y+y=+E%O84{*y
zQzejJ0lCALDxRk>;TG@eFN}UNdR^G=Wv`@&n<pCnQT8xF{@jZY!463rsrjgzpss{R
zCLa0|teJqdgOodsQh2s_ZlSkH3Ex)P*lTDpL2o{rL2sbo)qBw?n~x}?sg8Q-xEvE6
ze2Q^PYm-JF=b-66WfgpueeA;*878dc2Fdz-mchW9>HQubRq(yckCiei6Sh1vyE-%{
zi^HESzHH7^#V$$e`Y}@`oOcXM7L}DpKbI6&QBNxJCJ%;Db}|9JoZfMEg97$2{^Vbl
zSHp6BnV7Z<OmJ3iHx4_ah)febfusR7B>k^9JG7k%hr-m34|yvgbNf`(`Wxy<$ti6O
zmSI8F+%}heD@rJv#2f!V4;rqMZK3@-&H|rAsoutXWi(p)<d`d<fde0FTYvYn;6lhR
zLbaU=DxPI0((h~F_~DzQEO#S_kxF%XJg$OLhl{MQSZLw{>hXuVeMazTarHs*L{)rP
zZn~}ZktPn!)elb{F$PaFhG(N16$b@v!!O8b;rjSmNv4<y)cFW^-hWKRh{Rpdvc6il
ztEj<fU9|~hhpXj=+Nq)Mz`)o4#cJXIP9L~F>(9C8cf>2Jo78Y1&Edd-I4$(tma6ka
z)(n>XtO?7;>ewWZo>$?cg$jyY1$mujaI;P4-$0f+I%b8<GDuqJVB5JA5N{4zJH!5|
zd{akzVl!XPbxovi40X>mv4HH;3Ea=9Gz{!i((mTd#O1?BnMFeuP_6PUm|#!CtK*{1
z3ZQ}Xf9vd3qb#AR*^=6|jfU5wL$W5kXh@g*lh-232B9QZ_pJ^zEYeI~9`aJhDPx}F
zn8XHKB_EQnIt_yh7X8z0)$pZrfkep+8?@#_PX}=J6X3J8*iN2`vpi#i6RH6GB##)M
zE9z+T^bqOlHx*3nj=D;*1~_`rvcG$+Iubhm)R<N%BR4x)_TE;2O6&jl+RN0?$-X}{
zJxU2D-4>)<b^x@u-%c%5Q$vsc7UU)FDPT@=NaK(j!1pJ;*X0wb=y2T4YX1>AJbvq+
zU4cD7V&JiGv0+sdv&bpA<spN9LJ{+`1^_p%k=KUORq>rv%!`eODA*JiGxSOv;A=ns
zip?1noZQ`)I$t7*dkcsaaqrkb^vaoaZBoXP>K*GssAP=XCwJ-n2{w%Ot42DBDr1sE
zmHBuZ5xIZGXWx}zgZEwQ*c<Lj7+iccPUVgS>RMMUthr?gbwSnCADa}h$h5rR%|mf~
zY*-uHwAK=wzyG(vcR?O&8ojQ(n;_t-n^~^u6&8@^_${lcTn^X1hy7t&3HW#8fc6iT
z1q^6Ceo`7Gixcu%(%x-iC=tlVkgYa{^$_t>%U1?(^Zlcxnu_6t-K1y6EOUrIkoKhB
zLmJD5I_K1<L~&*Oc&<sM8QgC-ej2xrf}fSY9$xiT6i+tKDNiuWpxf?Kv2ltNYV$v8
z3Xl}TsXFTuE0w08n6Lea@k$coMcvE{BgC-xVd^x$2`A69*PpzqCW)--Q=a<-2>43M
zVk*AQ1h#3|scuRqW4YVC7VSU+W;`Yy`e|nZ8Y|z!3G!t8-C1{}evp7hn_~awb{a!t
zqU7<YS`v1pckOu<D2^NN6>XdKF^1QDM!U6+k+A)x^miwI34B-<<!3X?$>*#~r&EB0
zdEy1KVO0{y6d9ZBJ8uNXn$PO$Qc1XpedkpDaU$-Y-8oLyG=lGAeMQmoBz)ASH}Kk)
zgbjR65oWC{km1_5pR7YdjhP=WqtwY5wDWfBts^X`TvY}kn@K3X`AonIDM>t&CzWtd
zjs-c&!P`vYNZ4!E#9bvVg_^_uM@n8Xq1k!IoZwp$-X~4b59v@)OX+KjR2&ly6aMba
zHY8)H_?fK|&eGUqTx#xW$Apb32lESVlktpyp+iHA47$iZJpD<S39{RB*UoB7;(2Y~
z11YVts9anWNdLru^Evvxn;IptH1&n$Ze@9FGcTMUd&qz*;Ubw)N2QS9zbG;ruYg`1
zcc|$X8Q}k<N^Xlj1veZRnfG6%gz`%_J3pOdz)VG3eiWB9E)3LHi!>-<)pUtOU=RZ&
z%dh)Zk4U3=MN~`I1!YuPwtuv6kO8A7@6N>b$e`ra@K4`%so*U_B-u8M0WF_95_a^<
z;xoQg_YGO9=(QCtid<m8=0tz~;8{6bCeJxo6R7C2HJV4Fi~%Q;QgmL*DB!usv0~Q=
zDtbAeI3+N`0Acp;VO7q%P}&}_!Ms@wEj~VV$>#7yqB=tHr=1d>s?<x{o2QPy#kf4T
zg)pHz`>VyucP0E6R#ny<Lc_GEWQ`kdnPB$$_LOkCGIHs?Ncv%^furn#a}TXqAe9(;
z?+&QoZ^P&Fvr8IyBYS%1>1QlpdaL}DnN-2$F`w+b0!^$bIN5%Cvk@e}?avG4@GObu
zG7w~;g(azfWCACQ;5T=OWh_u}OPkH+>KZK^8Y>gJmSGIanfg~g4pDJr;BVGvk~Wrn
zU*u15<oL;k#`kX`)KGBx+UGM)+L%9jmS0@h6jD9}ncfys$EOi8B2RW|V`$90%Hd8^
zFnzSG{M31M99`zM3bNJ4#B#B`@EkJ$rmX(izv?LaS2_E{iWZ90S~h3+n*&6Tw{UUz
zN1SQSUr5qI`O=i0J{=3#ePUx|TrLeus)BhUziT4vd`*hgcMAv;>ApVSPD4FaD=tMP
zO{|FUpp;*;1kzl0PQ?%n=aW-h!*w;VBYdB^H?To+_3+^R&zzi}9=nuHp`n51ox`s?
z*pQT)Z5j52hS&Q2AGVCD;lb$iHJO|m#JHiQ>>f!&6-lv}wfR&WzjgAK);55Kj#{5}
znl#irPE0+uSrwZ<x!?bF0>Hib=$^Na)v<Z5CG_kcW$g2+K6*a|VB<L3)`+E!;gap*
zZFx#4XSK%p<W&wAlF7N!*VT|{lRg)JR{^#9`}Tj#0JybfMmc(xioeU5jBk2!I2l6T
zdnF#gkG4Cqf=$I!uXo?e>y^eHXBMUEFo15>1%_CZDylZ_?YDj+g~`8H^nINGZu(t4
zGVw?SKL?2&7JfxWRsZ;#pHu*Zv(md`r<C#1&WRXdX%hPV`;+u?hz$?qQ#KB(E90(@
zmHxZ0Nnqv6hF>Q_*zlqw&jEKS;ekYAO^l~F?)WhrA-HS_+xsb<WHUvqlKMJ$e-i=Y
zXGdJJ&saiH7<)}wgFGe|=BLwth;rsP-4|T40H;FYOvf%cyrXer>$@8wc<@Jd-QqC|
z$l1Z`WGN<#`Tm<9J}VYRb?r~Co!`vCD<&GWx}@>G<y5|<h%gTH5Q)!rn*-k^uGMSH
zDHujml`5<jLPF*<=f?MDur7o7#^<gSHnD!EKE5r4Y2AnJlsTD!y}J-8=!qnbHuN!{
zzZSwFnSoN{CR6w_+4TI{S289nMf%hm3ZriG?Zj~~g_*N^RHn4axG&9W`B0NE#_m{n
z#^&U|o7<c1nn@(w786mrElvdQwcIGWX=wrqPkrJBc}O^Q<nEpS9Ti3Q>ba%E|1*Y5
zzuc`Zr4w<7H=jjav>49N<hp0=jUjS#86}@h#7#dc&A7Y>Si*Rz64hk{E(&MQ25}LQ
z)%MhFmQNgCc<~<JzSju&(e1bEM+v-PbaMT}265bQm3+Q_fdvW2jvlFKkwBeg1^#ar
zC9vMS<QUIo7Mu}Xx$yUu1X5NSPbD5EqWu={eTNKKpysinS}-nw`_J$%7kQI#TrfGo
zsf!5}mF~rCX(B%OY19_&MMj0em;Q@qm{6F^NcZz5;<E$l=KBsx;-sVC(ayC@NDDvZ
z_rFRa7L8=4)Fw+I>saDei!Tg#zsGz+PKAU|cP<%zMG9_}6E!c+XTXP7YX7avCt<!&
ztclGU89Y5XHlG{70B)1rOd^YnrK{Q+m3PWwkZa+Z8w>`V>i1h6+)GAzcR7W^W;s+H
z6W(Df$N*DMx}-y<B=Y@qQ}3`<z%3>RCYa-N2*_UB`k%iPx`>Rfa_myX)zw3<)jH|m
z<Sl&t-+BrjO;dPh`9uk?D(rjxzL5@3>{;#c=F+GbvY|>lO&Ki*B~7I`>+he|XLPNT
zLDr~j<*g8oHwE=PuYXO4EjLQ!g1u!iXW!eKmv^Y5@O1&hQqJ7Rs;@uQ#LJ;$s>WpO
zdMchLJDzSOFhGyjx#KzK{_}X5c;8~FVR)#B=7b#s9G1tAcoP)y<8_O|9CdZ19gB?o
za-IPvd?9R}p@e*X$#{cAL(6IDkf31(c>drMe>$p!<$-yAp35{GF^S-l-pGVZMOk69
zTxHy+tdu?eSp)O+Hqos(J<IsF%C&DED#&7dFdBcLi7&p$-C5kk;lhJ1%XzXYsw9ht
zMg(c0*QJ%8f4{MypB$TK^+pu~uyi6oQX5~`9@k5`VgwO;j}C83pkmGY7jZ^;+88aw
zY722ShFmxza?*_B|Cu&tg9UVOW=LXPubc^7&1tJI8&N~|x(ok4+v{Nbo0NEuX%o0!
zG}`p`tU4|nN-%8n*1?IjfoFT#O+j7Xcq(0thM|N-bhFaIo5x%XDjt}@tKu~iWr;Lg
zsJk#WGp&vOtK$#XrkF$OL6X~=DH=NW+##O{(#G<bz~8<HEnp$L%c{&=12rTUj$W$P
z!nHQRzem`XV0TITl}(TaMry^_J?zlL`KoVEVtCnL{UZANr)Uk_q3<(n`a}bJE@!@d
zQNxCp&r1HR3)jF+E5BHdQ8cuv$UFQ|3*enYE?v|`1CK_A_Z{b)*Wk{B2hSY@a6L7j
zkt3*q(WMUITdSzpmqdTbyaCXi#gn33KtugE4gMq(RZNh%lWN)soPCysUe=&t%%Skn
z$!d;YpR6tS`vg#M$#yvHqB?f?^w<=bDPeIm>G0AJ0N;oK&(<$$7_p~~wk1;@H$CaM
zul@{R@>W}N4^0hoKZoXd4#?p5!F@(ITLA7Kl<-R1LB%PL>1bI`3VL6@`k%l(fUCjf
zPhOl;#W+W@zn_RCW)bCWJfi`$!@hp$C{n>I7X^9sR)~0UDE2DJ1)!X@_|K_L8J}<U
znjbab_@^NHmQw)W^d;V`NhKV4sw4XBHUW36iA^=HWW#NW)1HS!CEV-!U#(4<DC*Rd
zmRRbufuZE}#XU*^pDDk$HM}H@ElVj)k2rl{f6#(g$TvCMYSHZ$Gc1UoC;wY2CRxIP
z{TH@d@0Ud>Fudq;O#suR7t=b<TEK;(0Ih@-X{`TFy{cQqk5^5Pq$N$7!;6#^2lo;R
zPPlzgDx&gZUTR9GsE0Ycyl1>3dr}GoBe#Ak>*vEwfggQ0HJX9B7Ez;ow<OLFaEE>F
z<HG>!3Ks(13`+Ih+&t$;Mz7-a6>&2B`0v^^%1pi~>=YC<&Wa}Cp#cHGRp<HfN;|{v
zB-s=OUG&ZGJtbnbD3|g%T>%`~wm2n}WC8*!SE5ZwM3nXT^w)k-0GA^M|6AcPfy;La
znb*!q;F;Oo<byv1@p1F;@bxHTP-yN+Ac;$$pVBDLmo>up=D=Q2Z7yT5&P=s=T`7)g
z1nfLvC4zNk*(Lqwj9}N7Jl%i6oc_SS=XidODBfp;ubC4yg5y<v7v8KFN5&UYUA+(i
zuRW{VQjo)fjt|}w33PFcseAXa_X7bx=Di(XtH%Pv`}ry-nBo}g?wVT1nbRL?EA+C7
z3GdP_NOC)gV_w>Mjlz5hRQni|@Z66HSz!#t+u`Dv*&LiLc!P)rjEL<%Ynb3xGQIK7
zV{xo*wBQYWK*9@^4P1*4IC&*a&o3ZIpi6=4s*4=o;5uZhJK@cMVChi*(<dd+DX90B
zD3=tvM)dy6BQjupTlJ~!^PKMwbPnINqo5N{?D<QaysbPv_=%cG#K3FB@ugg8TvPPT
zVqH2NR@D(zzw42(sLx8{o`@`dDln(m`_kd|w2@-XI0>sx&6g>qa(wB;r6GG`I;>bb
zI^|V!_?}=Lnod)|7)@`1Whpwmf<E=ytCGmCbA)^0ts-XBn<(gT)8WEYt(;`46n58b
ze{rZ)32ViZn#%qdf<gE%%DpTKZa(T9eV5bg+j+<PPA?e3x{v7V`A8ZwJRD+Y3OGJa
zm`qCGr$bbZMPtu*8Dzg2*J9k{@WMiDxL1u1CIq9ecMRn4QANn7(OXpf%%9(qu!Ro0
zD{sD;OOVHnih?S{dusUa^62&K6gm_qT^zXiTLG<x^TgMdtE0`hfsIrj9eQugY9_Ok
z@Y^o7r{rTAM$6SGj$1Nd;Bk$D%Ayj!{iWH;Q>%e<`6``VoSw32*rC((xiV^=7d{<b
z!Qn#X{zQLMCgiZ+$?B%6V95`WpySuI5UM{gJ2^f;a8^_Oy;Bu!Xy=2eA=)@nZN(mm
zVZrYMWf|(aRLoBMecxSA2NgW`X$;vJf&2BBA6NcRF_n8nF|kDlpO4xu9hEVLB!hwk
z&ssI~KUTIz$y^sTeqM5jSvH2R>jYCUR2`qaYwmd-rHju>#iVT~O`urP<a>lF4f%YF
z0vayr;t#`OH>t0tpy2=VZdDx(E4H_||93za%@=mZT^}}sX$AYi%QhPLP0g1+!l#QF
z`!AaJ44A_K=H63&4>`SvaEbPCpAO#I^!9<%2Maiw>2#-!OA`e@xO<N!YvX3Rq{;dQ
zOX#RC=NzXdE~_8=F>+E1RR`VvD&?|4^9*6U-C7d|#f7eUFg4Nm?0?y91_1P>FgB0A
zCf<0!cazdcL&tvZ@T6FPy-sJZtY6f?M=5u|-lePKzC8osTrUAAcMEej<ZGaFLk|^`
zIR9^KdGyyRE67<mysJc01J6($^5Q<IphU|^aU<0VxPrt<!k202s(Z|CwVE<s@jOx#
zX=DX=sztOa2GvpS3_-hZP65wn$Q*cNVg<4(^Don-)$!Ef>iM7+S^T*(y(d=33Z9Jh
z1@f}h@a&yPDYw@YT<m(Y$3xr-<P(RR6Sh-vLgf+f6-i0V-raSje;nX_J>!3O_oyP@
zITe%hH;Fi*akBMGH2|SBRi){W3f?b%E~k4+9LuF63r$Z0d<{}BoH(wG5mEDX-^|6Z
z<@LQyS2^|W<pr93bCeQ#^e#_*mJ-Iko{!G-aW<SfdOlc6RS`k`U_wlk0ABMnt8{W@
z15ZnI&%15%IBdT3`O+aiv<q_RpRKlpY1Mak^{&g}curl4)H_~`p8f7(A#Dj((`QRE
zIb1lq-(tz5a5b(ya^?Jo6Be+#t>R-&1O?M?Q^n)@craihWUIypbFj{D6JC~-!q%sm
zIgCIabZ8j+Vq<I$Btm{)a|aoFmd~v`UB`oCty_u(vdkdfz5B$;0urv)<~54i$%8k=
z$}cPZGlleZ{Bz>hi73t8cVelG2M@Gfa1h>W3d#!AY`t;`Yz)hc8ZcRnO!0?~1|24_
zW_M4e=2vkH5J~(aI=LFReEfN)*W3i!+Y&6*SmGGOgxG`^ym&3~VC1F;#_(n9oeXL|
z0srWD8~HV^!OzoYnyOTdA#AhEC`FTi0TOY43y1ko&^xfn>Y5QGuD%!9dsz&rv!46y
zl?2d@cGW~m)(C8Cwz(PbiD6=vm(1UAK?IZem)_S{;IL7Ip?6mlH#pWl)tnN-9zyA6
z3n~k0E#jYYpAy9@{@R<mqD3&A5S27g!i1m{7g3=TqS!eahOvfXX!Xu{I24#LVW)a}
zFjo{E?)YAojUr(4hQ1Ewdj^=@3!3zv7DX+|5s}<bajenX?&Nut<L%ok|78Y>q4tGg
z!j01ssPSX-1}zB&B-}OBpIbw~fykREnnA>og*eh&4IPRCj?~Qu60kIHBxwps=uMNI
zk@ly<gY{dS>PI+mTq9uQwn9dgcCWG(X*vug=&@anisRSqKegPpNTEPVw2M-gA-I$E
ztvfiJo%5sR{C!NpJB!~Nc{2@xv@bj1aFYZooC+ebO=WOKaZiP#pCNds?2!piA!4WM
zO5d;7oIc{cpnS*35I`}G&+-rnpXtQEsg9J#fuN|R4`f65KL7v#|Njh^hdb4O6vt)n
zy*JmoxZI0tbI+yB5=BT!3zZ0EL@Gk5$Sf))g_IvjM#=XeijYb}Y1v9tR%So{!25Ha
z&+~rH>%2yvFha%sByi~0v#~)tC9FzOb!}du0oRj<A})cF$fYBxWSXgrcDH2&e5PpN
zz`a9GFG&hLIimNCrK+IyVC&zqX&Ok+)sR2cNhANxuN>3as#rj)y7ZOJ0KVSf;r3yZ
z#p9QEdhaPF;pK$=xjL!_@F>PpHh7mDMyU!ebT_J@k$IWfJ68ixIq2ea;jKKDTl!yL
zJD`pdG8&pj=?2hrXg;>rR}nq_`UGk6Xkz{K@4D%O2Eg4>-7zw+gu9sA2ehbK*#6~=
zC}q7N6nxvpJ@85y4W%~T({(4~aN+}bwKhWtqISF-Emy%})`UNnhqN)NcJoWGZAK7T
z@hI3eLlx7Wa-=23>7Znn&Y~wL9bOEGYt2TIP<yuU{kAAw?6~$M()1}E4nFg!xAs*-
z=~%C&?OQ0w`%gnPD&H9X6W$~%W}}XuZ4}FLh4t`D(P!=VDJD?+?A7*uB@G-_NDTR!
zuZJQTyVqN$n1ZZI>*Ad$4Sb`0^quCs9_E<-=a-&q22r8bZ^h~~QKLb+j$2wEvp1#{
zVU;<^erMl#@_-hSCB(mOoYBJuWf{E(Z!Ms&rkUG`lZ+P*tG~@Yr-%M=-eOVnmO!yK
ztsXi>#=Lg_#LkZtd=ej~<u7RsZvSrH)gB-tf7-F_)dRXXEyy?=r@;Ud?TkI=6tq#y
zOlY5Ci4Mk(Jlwxa1mIX!VYMes8*^++_Ydl8<ABPk8P9lt?<+3c!}8iVsE|n9JEes-
z$^nAT0|1xo9>z3&A>&ciwLZa>8aVdBSe4U&3A>J_#6CDm#(19h=VDvckj9nSBYuzx
zZ)zK?+9tISzj5As-KB~&Ukl%!OeScjem<gRqlLZZYgHwCl`%{0P4l55Cd|mpdVV{i
ziEre;l*bMzpaA#YZQZw+a4)0cM|YYA)(!C~Pua<0-KbMZ=xPr0hr6O_wmPPLA;lm4
zDT%@PQXI@sCWMFN37tEuhMhA@4~+)I(7U@+C5XucUk3vZ!zdEkd^4K9pf7^9wV7K@
zIhkN0C2-Q!PZhhgpK*oX5x_`#V#Sw6fSlL!$1XXj;5l7!kH}IUe6;24_J|08uv6lt
zbh<M7EGTAN^x(uVt(>8~>HsPt69K`S6>-_2BUSbW8#)Z;`Z*UeK<-1}S;<ZEs5E_t
zbSZufve!vR@1M1XQQh!awga;G=J|U4u<n0^eQwEtwf5FfI{RjztUwx51#e#uPhKW2
z+b3A$UbKP$k9DPSe<e|t@$b%d{w2cu-|%ens3jcAe;_k+NCGnoeD^EcE)vmRMh4F<
zETJ%eLE;&oILh?Oh-!&05?n6wGNI`fAR-l^#M>r{ZZ~>dns+S{9E6Ib&3AK%pBB<^
zE)l^thrzuYRF;U5W9QEo*qK9O#Lw)S5@C!sVN~i`Eff1q%o2Kv%z*TvohvXy2#;EZ
zx!x~XAtZahTJiFkL4Igc_;+DJ<Q%_vJVKWRr)i1`yTeVPc4xc;xt$-^E_bcJr@96o
zv+o<3`C<Yg!8`J79`PZiSFL#5kQFB{`SiYaHG%bOrhI(9@nXKQ`2@Ew8`cTGdBoRh
z45!kRw>~iA#dX^mTUxHM<3YV)>$?nNcs_aD5gU2Xi`CPr@Gl3(2IzIQJf;Izp21~}
zNFH>Q9X0O=<ihC9vphjShqsCuPu_a+pknwe@8U0RJb3jPSItu+nA9a_^X%fmoL9Ei
z0U5k#v}gLrlg&mD&SOuq%i_VU9a_QnUHI|C4d0sDK||o3$EMvsdGJFrYt|=CL8MtT
zxbdhVL?p}XNeSXbNB5aTX<=cEufAO?BxwkmEFW*uMEJ0wQShU@f(Wk7c$G9#Z2;@^
zYo927<iq%njn927MNwxtPdRhD0Tf?j$=|v9Z~3puB*zdj%-Vx55AYg*#LeYW*DnH?
zIW1APw?-T<Zt2|l;V})y3JUm7$qJ$6wAOJGNlCm(w@~$tqQU;<g4zIUVH_#e>w)u9
zNa}q+jxeV|@1|F7SJ_0+WaHcK(+V;;Csk4PhMfldb4Sc#KZ#(k^Go~EHd%~l9=~Gr
zo(deJ{Vio3qNtm%Q+g&{9)0&zbnkyah1!k^zrmMcXffXWJ1RmEPq4cd9lS~foq`_{
zuYZc8UY+~J6PC&d=XiSE(y1WN^4*A}B8gEyRL@*ouY!vzZ%5W=P(i&{{CYr;6q-)a
zPa7XlMajjwBM%Cw5Y3*sTcBGS-`7@q-ML7@f8WM*SsSTvf!e9-xLy{o+Z7&d>Q=)8
zW_1azzp22sKfr0tH#v0XT~sL**FYo7maBK^G|<RnEZ#q_fQ$p(w_o{b;>VUFI}fDN
z;FFCW?^ZV@6#f$Xx$~YD9?$rOHOn+mI^N1b%2vk5dIx><*|hP;=MXA2(E!fnc${WA
ztAdZY#oa<T>Y#mf?jELwA&>^e$eE{C=Pvl|*q^40`7;Mw+4>E^s=Gq+`dJdbtZ#Tx
zP)|V>#q@h3bw*$mt1{-Eu7)@JsDqUqdMMp?BHi;29n{5`Tvj>i=vB-4P^VfS2Sg%w
ze62Btu+&;->l_W-yKd*>wI)>Ty;b_`MxP0sEIB@O?VKiR8E@Q}bA*a7bnT5iB+Z~U
zk9UvaVJ%GQGg(==K*co%TDh)%=5WO2?*<`zGS0Gp5|K-!BAHK`^K6v`G~_q>Xa6Ik
z{Ctkq6&ETVw%4<%<g<dJ9VH(IFKXioGqrZ#JAG7-n+^!tZVg|5<nw0n>R?*eUeZXd
z9`b5?<`UN#Kz`l3@@JC{ZgZZ#^miQvo%f~R+Tahc+~%&k^Pmo%pLUnhOxD4q)^mCm
z;{Zofu70}cse{{TB=N!1WW4^uHYL)R35zao8omhYpm}cSnkQQ|(N@VMMdu+C4$n1l
zXy<8T+n`2?pP)M09D5mic6pUYM1mR5EEzYw>#E|eR>g;3W$J!v+CYNQ9f1@rGM>m2
zuHC;|8F{Mc7n;p%pz~*u#&2US%;!<@f4P2jPgk7{i!`!<sGyB3{+gQj%VOf{L1}3W
zk?eLck+p#v<xeKFSTwNm@Os&DD{<T+l8{*SlL=*ho3uBzsp09+z$@cz!dTH=H_?BO
z39%BaYIdhds4VL@<8+!2S#&*!hJ8$My`d<0+g24l6!!eS?8AxohUK;^N;5&MG<Kix
z8WkjeERrF(SW&4_hnYbD*f|O*=cg#)OL2k6|Nboz{)R27n|1-bz4pkdLrVcA+5WRQ
z<UdD5+3xl>Wd*Q4=d^))Ko;fQqnA#|O%bxsqLPm@8PFx>mZ8ufjhR^nzeL6-iRhkv
z?8<T0P;za$Eby@;hCjbc@5%c?to<8cD^PC*Klc70u?>hL-AjxXKRZg8U3$TNddU)c
z&a`+>>5Jj>I4i5^+7UuU>aJY~SVG0&%$037MQ}7qMgDc+2+_cEc-NNG79eU*IF>Vn
zF?@|wli<lwLSoM`&r3b#5cBDCYyKKR^jQDtUbpIZ;<aW(Xn?voxJsr8$9C}Hj!mTV
zlDo$Vd9k_1-lJw9Gb1N<sE-G~)lcL}ktT^ZnDF199#d!|_xTo5xY6a&ozwQ}zlkJg
zLZH;p6yie+Q)KHoaqg*4UEIJQg7ZU)%kLZ$NH+Z#^C5u)8GmytB3h;iu5vE9niXRh
zbJG6Fev%#ga{`A8T4#xoBf%fW_8UWxa-H!+IUB0qXySDp{7dY2$=DtJkq$2}tb|hp
z*wCg}%OF5uk@%Epr{d*GhXYRg=8Lmgal<j;P>rx<qCr#UV@#V7u>F`~$+cs}m$&&V
zeh>U3RM=u2KHC{Va%TRP90gW<`&3LK(|ipUJ}62#_RJ7m;yzSnNVB5N<iWt0ELObu
zcd=lbiy^%5G2Zf-&We3H?7hWn*in$pVItwZ0aO%j^wT)ZikDi4AM7~AfxkO^Th;^^
zzybQ@wc)Q=vGM_buYnR5M);_cf6UXMX;iXQ!<7x+*M<D~)5DG7H*#)nOQ*pzFZ;>A
z<80V;WQW&(CA@fDAZJSqg$8D&P0_O@?6}tH@S8hV`7v@oi5AgCg{8*xBeARR8G3dN
z`qu~|%f1WY$%m=XtIX6gJ;8~5^RZuBVuewyF4limi3(m}55kqMa-sF-Zs+;?t9{Ap
zK!Y3l;CaiEEv%0lcb*M9zn)DDzx8JuR0!+CFR2*6`wU*BcVcr#kT{0KwcXlwP7nC5
zi0~9Y<3m)O<w*M@fzmvr%I%VR;CHo3$T?a7*Kl1eEY6X_WYJ$$0u>bC^xNS0a<dRl
z>0j1S^pU|q;)W)h4+WC$Y`1VO6UNgAG&g->%3+|2z;S6A3PksoZ{vF=f&mukx2~>N
zKwka1ZHLEoVd3DEWyqo^&XTr$Xp2?C8dLSU^mn>2JK?_Lk%KteZTPRWY)l!O8X1S}
zKj}hT(}!>B_asns;a2k&Emic^;!o&ep@2`LB%_rsg&~JF`jC#2Q0&M|a?3gjsMyk;
zpLi#Y92D<lr_X8_ETCdTU7dfQ8k6!fM;3dQ4&L6lSp&&!+z$?|)q{z-`y`XY@|bCP
zx3%Z3ChnB)@-*SnhhjT^!TDfCoa}Gy3D`@<TW-%d1D5sSX2vWhx2-ZdPhHm7u%L~B
zUngRwv#GErXr0&t9~CrjI^F5C$}gWlZ@+418l28ocs+7l6|dA^pExS7ha21!gSc0{
z@0I-yBabo?YFUQoQ7-A@&d{>_C|N^bc5q~ld{skt4athIm{m^oxmb45jbM6BPfW3-
z2A=AjWNnb3p-D|bWnDNOp0y8@+;!AM6Q{_ohD;hxUCfa_{>m7nmq#q+SNV1GwijjK
zCk>+(D(r8%n1X_#UaeUg8T<Sj{#3~upqNqo@$!B%Xm)abnwF`JvbaX!kc<I}^uMU%
zOtyf>kq)s&(K>jN@AkRM&ou1UNPEm;U<GF@3r~<ub#a#K(OH9iG}IoBQ#5{W4V>{=
z2YR0AqE|%ug`Krj^l2Yocg`3f+1kS>NsWS596sr_SM^c<*+HG5-vCz}<J;KmC>SO|
zJt?`Df_8fqQ-m)uVYr%-yF#X5?n>U@=J(ntJyGHDo@4{!J2zfE@In_87Ymakg|slM
zxF>LHx(&pY-Crs-(Z!E{%_Cl`s^jhRB@ewm+raxEno_jC4k|Qm9j8!Ku_+_3$&=R>
zzM2)(mhRL>dzS8uhEzp7sISqQENKg7YOiiSrjn8ESOVj%fDF1dTKJvdu!Ub{FM?e9
zG?Biyx$M}y81CONn)&I24QPDXUUTZ829A~<E<gNA5cztADKGPE;N|$j&E%hI825gM
z;oTlij8@;+SLbL0yUdlux%QH<s^!=4&>9vT=MK2v@q-B*wB@jGA5}0Xe8^;^Xqr$-
zwTpRoiU}pGYvM+|l=19#hit3Q!^B*9ZK?b!?*_NmlaiVhFvR{8&tge8p-`~v{<;!?
zecWRUT{E)yeyQ5#p;9&DM?jy2zX^cG73PBLMrjnh9-zOY{S9L*<kxHQR0arN?f!hV
zM*>ed?n|CZ`pOWPmKDjVu!ab`_ftnsi=ocHfAw)PgN!_(eEz5JtYGB8iCW<x5$wNb
z<?qQl%xD?t(obc#f}x~Lz2_@}80WUWsU>fiAv-Dk-rvL$bR|6ozsB?7(z*YBN9YeT
z%G5iLpEzUz(GPC?`s~MzJ%jLJgk^|Pouq#FUAZ|ZxbyKDWO1Oof6+dtwF8XLPeb$U
zXUu?Q{>y<3snxwY>;CtS+Be2hIj3?Sm;vY4V<Rp@ESMg+rE}luPmGalZ~nA&Q|O-)
zI3+r{OpKp4ck4R(o{?2VEgTpzfqG+;#`X&fL~~J&_(g};jQ4V50b6WMfU^7qw%(j0
zw#+IW5LN78B!!0t-!3$Uh(I>|H;OYvP(>mye@i37|IhfzLT+QoD0tpIJ@bdyW%<~&
z@Z^6CJ)ePO;V?QFx@WrREB_`gwRFVMc`^v;82$r|UyPt?ciM#%@+2|%XFSWjs)p$8
zNoqRlW(3bSn*T|?I8J=8&zJGnZ6S)j8F@QCHH5#~&6T>b-wF4lXEs?dx`>Viue<NS
z5c~~^s)y~P#Fh3<{*<)W#1n-RAyN$nK;As1AQ?46%pJTbzhnFzQJ<EnFm7!CMh#g-
zsYi#2Z6@Qh6O2Bh^F~*mMKcXvj5=NEZW|){MJAJ49lsJ^F1C#RbfQ6s(z#!qzC#3;
zncKV9QT@bzZrb?xn^ljvq3u&_I7FD<%kD3%93-Z5B5c+6P(gz-<dtJPMA*7e4OW(h
ziPs#S-mE|LVUB(H()*Ml;&csf$k_HVg6z~XH7KSJwCwxLtDM8crv%EayB~iLu`lb@
zU)t!w@LaL`bk#7yX}|KNCw78(wa$_2P9z0JGs)XAYlLW=zf4!U`HOg0|5|@*r7k?D
zxFnX|8YPx<g|aWG{vnR0UFK^4qXT_Nl9L%7BSKHCd7k!ois<h7M*nWA1Dbt_$y(cg
z5M`p#T)NRS#GVd5{qj@VAW>>rQN;O^;62c%SnoYY-1Kl85q(RBhn>z3g-0d`k1QAM
zvEB1Tg&SLi1ceOw6ppmE6Tb-e9#__fR~8A&3I%)Oj25($1y(r9eiOb|eUD$`Ss}RE
z8dR0XHR0E`i5JNWe+Z6$*Q&sa1%pm(WZ&$r34Dt?&&?f}Cf*m47Kfg%!33$QZ*ff;
zkeeDG;Kx2oyezhRXT6&Z=PtgY_Zn+}t)X)i{plQGB9>SutIB~7UZ{7L+*60F;K^ps
z+Iix7<$3k%{9NezXhFl#P#uod>aWQ6EfR+u7ECv5@?Z<$eOj+x4a~lTz1m{3LhxTo
z4wH-I!=F*X{omKCf%CI@i?RR~+`Wlv<gj{I2Ho+#Z#YZ>*~%mZ_BU&=>Qz%=+g@QL
zJqQvQJ57SP^<XpR&xX5-xQ&D-L@+qhV@AQ41m>6BKYdf?z>Uum81+}gaMyv)PO6it
zP&2Vhu#uAsr7RBZVH}abf7;YTsSi|vTknBUi98P;rtELgi;+Ut{{}w0o>hg!ccf43
z0eqN1o4#RKDTAXqft`=TR6$!Q$Lj2N0j%({Hk($E#|ho0pVxy`;ow%Bkk}%O0<Y}-
z{xmA$-J_`D7Ox6cxixMl-;1E+?e@U`x|Q*PLupORJyi(kxqnjexEOlpo-7I2p^9#I
zdtL9YA%X60Bdeq9CGg3$sJklyYB)Bf@#9z|3ASuIKDA^ch1@ljmIZz4cs=T6)&&_g
z7#Pd^(7HzkPbq(HJJYU-S0n<sR43J-)TmPT#C<u8P$~*7dPBzYU3;oLSTta{Gs#$v
zs)!KDahS58gV9~1HHup_fqf{M-}ay~#>a6xC>!Wu_``3{`4+Sw!znNH)_WD~+BPq-
z)0~P777vlJ8Esg9X1{!z7YRFa*86h$&@f?}C71SQ3Y_Yfex(0h4cFfBJTDt=fXm5z
zR$Ky9Xkj+iIGoWy*FH{(@+d>Rdh7UY%MuzK*u}biTwe=`pF)>k>@dQHkQ1C%v4-%P
z^~+Pow`8nq+r9ItEFFzX-d)^~OozvpNA_oi>ENmD)>e&qbmVV-CLr>}1bAN@YZji@
z#WT)fsy*FwoSy}WRxNW#HQL}Dv`r6pX)I<RE2m=^yKhWyktNVMYFeC9^-=TIPOlJM
zIy%MdV&T?dK-|EC5-Ff!bZReKn2izcS#Or4@?zC<%jHE~GpKlEMLB)>j{%BDEeljn
zF+nt|_^k2jox%R(h_9?Y4a>8R2oB8J0Nrx}rpu^kxxCrUFJBM0dMPD;>9mF48G2`a
zhEg$w*U5ottBs1jjS9_&*23=TPp?@xsObNML$Rhp9U*;ME%@VFU|xvQp6}7a3U)__
zb~zR7qfeQA5LgG{*REvdZKR;v=Vx0V?vueU!%tqf@~wl3z+cP5tA74|srHJKod~L3
zVCVn3nj<;%+_mOB8UIqwR2<=E$H!ft&s|Ph3!J>U%>kjB*q!c}T`fF8{O0NH5|mgA
z9|EfB|JkUc>%WC=jp%obhK~5?=`>pi6u<wVR)~ZgANNU?wazkdF3@Xb#RjAweczWq
zsEppi?(PMwtZ+gpw<jvl1{A-)BU$7qtoG`@@>LElcxbjR$?zo;4h4Mc*3Xu~Z@2r*
zXG?iOkn-It&yoq!8Hbn=-4ZCb#aG6ICIC0vK3IOg3lM2OI-Bewiq&8C?%n-b5WI$;
zx*j3{EM<kc7^@4S(KaEU^cEq=+2Y-jw(851iPK$Y%(?MNWLHt9tT3DiO^H@<vR>^c
zPO5%jMW2mZ{>rKegT~pD^2UBva3Z})gtD|quxzg0%PAxbm+F2W6-lrJgT4-lYRf5N
z;=CSt_Jt6fsr-}Me$N8vul93`whj}w>ry}<ObEP4y;4Cx%%Oh5@5IafFNv6IBP(L!
zLJ<G+ZymS3IaFb}Q=KHiXtZ>0HER-tSJhm8Ph-rW@|2><viD~O@3{rbjzmEqE3mMS
zb(_K-nN5j7o5mRb)_X{G?-c|QW4E4miYXW=u3ZkX`pr1vEFTdcAP8SZkBkqco4`c0
z+;2Aj8OH8&+dH153WBfG*@n&~WAJtz*;HUO&#*NZdv@frAlz`b8Kndp1D>yRYOGsg
zI0)*#s`C;8i7vMBr$clQWJwL)%*p~Ll^)Ube?o9?X^V8|ZaVaIKi^%Iz6KN?i?ZhL
z69&)O$fv?1Mj-wvgLG1a4Js6-C+5Ek!*InrzH5h!pmg9lr7D>nI5y{*nw=5>gPHMe
z5{nT8@_Rk+p639OJDXfb>7pRR(ic*lZ3qodM-NX1aRGIQWWW^`G0+U7+&@M$gs>~W
zrQ3(Nq2rKh+T5TRe6_o4Q}NmWS{~{>ej3ON$F5&CC>;=o@7IrqWXBo+U!Ma%*8(3L
z4qu)NU6z0*mVVD9T?0^-NDB(MDgYn$1_((SN`X-N3$Mum8oWB<Z*yUb5Kzi)w)!PX
zLw%)OlUpGTtggDV#AFFWdyb5{<ctigd=zY0cYp>%_v_py&WgY$J6ZZjyd1b~2=|J$
zq(S<_=b1X0q7aqRkhD`@0djuXoN1JzLFA3R#)3Oy(D#$P`@@1F#P#i#Us<NY1{N`=
zg16#u#&Y6ZX_zuN&xJ9~eo>(*?|PMogd{{MogJk`s=$qym6+T~Do9nvU#kz4f?(4H
z?UO00KtvzT-m{vcVqDgk`%)TSx^3L>;0_7eH>OIi$kIT`DKkI7RTehAsfY;eRa@np
zZ25pA4HP4u-CjE+2eaiG>zYM0VB7VHS4C%O;KjD7wl7Tq4&}OVaBR{9?RBjW`oGa2
z=&4$d%SI&_j;}Q(a<pLKOkq96#Q?r=y8YxzR|bKu&b+f9$#BdyHkRYns#p3x+dUMo
z0@t*KdzNH%!1((1lU2cn(6+8w>UxYSSZ+ztO>@zOJ^k*7XzE6=Bj4(>STqT)C06`b
z987_aeV^{n%@{!jgZs*vC^h(EuOnO%rUx2Azu$cLN(c8yW3_t`>TtX`oI}w~A1ID6
z|8~$AsEX^FuY_oT*d6XU9u_JD1XvvF|7QZm9Nu2-zMAm!I@6)qoC=|o?9^60GYCj3
zQ8Hm@LBXe6PyTJDLbZ_bSB`_`;CJqZL_8lER72f(i|whv{rG8eZ<PfkM^|1}Xdpv0
ztAb^TC>2uX<n}xNvjpGH;-oY;ZFp{$(o*ZM52Y`@JA|*bhSWue<MpTwtg4P*?`_tD
z`o4VXyBG#&5a*4|xO5;^ynfLBmo9AeloCAR0-*j+tUXsn2a-kFg<{s~fVwg%uWOY%
z#_7I~s|9pm;0CRJ!iNl=%~GDx)=cnx6mjQsyEfRH)SsuX(}eP*5ijB*6AXs3NfX}M
zP~+Wi*eR?I>Be5H{k=@cO?Up__?Qe<Q$<7HU#P-*^XD)0*==A)*HYr6zgplYX!(Yj
zsSL$s|J?pbuI}yP%&T+}E%1+G1iybR4}67gH`2vyz>CmxOyt*uuj@QbD2>vfTr}g~
zzsQ8>Z$oj5ztkaqhx5jjH4-qvODa3~iV3^&f;}W#)F6o~;aGN|2&n%}P@B$O^~#_+
zTZ1$bunWx9Wo;FJ)@!du*LpDFVvl8~gNG`7JbJ8fj}15Y?W!#m;bKA=OGO4DuL9eG
z{0YqkHW+%22VdL+pl3&RUg%MR$9Ct;M<ZBZH)*M>&=cTR$KhQ!5){B?N1tfKrbULn
zkX*pSX$Gu&b~=)EgB;wPxw=zpWtPENu;=x#F#uUWroRIcBr3n1q|1PIU<WCyeTrfD
zCyp#1Wevsr8ax>w1zST-%biUB%@7`moR)uR1=lqD6M_y&z~$#=!6)>7F>a9`#?e<S
zAw)>TlhG;$QEP*9L|7&nW1l|l+_cUT#6^Paw%Uk7fN0Y?lkN$IrbFgVi3=7GKdY6u
zbx;`o2LJ&7{|uLhBb99&hH>n9?7cUKbB?{=pOq~uvLX=`q9pm!kcOy`A`)3yNo6bV
zQ%Qqlgs2cgMP_FB{0sN*dG71F3us3JB<{>&hn_ymnjA8Kqv9F158SyRlt1ROK*k*A
z7_eBztYHAfHfkahsvJP~oArrU%{*2qKK>;uQ6H#xZ#01=8^{c7zq%l}h<O>7W>x&q
zgJ|1{268S7u<eyT?Dk{{^HfXA!*=OGXU?T8S{-JHGnmi_KD~^cR{m(<Sgs3tBNlYq
z3{1e**Yl0z=qe`sH%9m)pDy$!z4pJ%#t6DTeEsO+I`+5wJY9Xf4m`AP7F9H7fbQJ0
z0X@(EVRGGJwcAVD;1{N)SyD<5)aigWvcNXhQ88$ldqf*N!@k){7}0~e{v`YLH#8vL
z@5OR+LJRV0D(C*J5a3jR<2?dD9ZVcA+W#d;3qBULjr0u?;K~bQ(MM4PI3D=XC+?>v
zsOmqQnI0v;$%uE3T2u7!@fnx<g-A^}+QBVSz)260PuJhyie!Y>Qbu{3n;P&n{kvzY
z4?WoUD5)y*GQ-xSzZKzz26RSI_Qti-gE0MS*0ql;;G}B5_(V<v&d(5%cKI?udF+Zv
zVJREr_**V&;#80;JpAr2CnF5(t6sWN$N?BZH@0pc75v@LUwr(X5&ju4zPa{_3uw3L
zd147vkXq|%nC)ePa&L`S!VKKt;2moJ`XL2wsH9##Hq8t-Z{GjLZNdX75}tMQz7%j2
zVT-g-V1<a2vO?+CdBNLtQ1}oZ1uV6rn5z@mfHl&CJ7tv*4rAZfoeRid!&lJf$ie}A
zOmAja;{>4d!a7S5i44E)J1Kmr;e=J9U`vyf5RmCr#0OrhLzbSutkNzbj2wB2KN%H<
zYS$F??g({wyEWi@(25%fLhk$1UyDM4@_#uFWOWd*;r`s>#{<qhKQq3)7YE_q^yni5
zb!bl;3J*%*1wYlK=QWFxKq*N(l|8El??-4i0tflv->sRfASr3k(BQHvSXP63(zgvd
zOa#C(wyKfWQwCCos)qAL)xqlMgll56AauHpmz*w;g}?v#+6n}y!-?Bf_EuiP@OdKh
zK-rcY=)Cps>i(b(b~9o<Av~h+#6$AmVu%9dGDLQ629QDj_TIMP2{8yM?hxr2Rs{aD
zXRS7QD6myVvS#a-fb6|L8*2QNfw?i8zxWyj&PXS(wMIz6a@4Ei9b+nx{oFyeT9yjF
zj;x3)UK$P#cREc5ksw$5Y>Ht&6-4h@xjoF0flj2dVl<=%0X1u?+oc*%+PqD&d?5?w
zw8?u8o0DN&JoT7CjwZ}`C(AtlDF<hYNmq0&De%nhYK#A4Ef~jiy_9$rAY=2rMR*Sd
zWW{R_efpsdUS8Y}p6Mw99j=G6EO*`+*|#xEPZutJ^BVo+rUX)}4^~^!sX)q*ViqXY
zgGlMQb^86v5P9$MW#vXH+&Lp5-=$;#5BF#;n!BrjqsKx?%OfgSUG;o+xWN$imOC9*
zS5pPrTTEByBB;<J3Immn#&F%kE@uCbDp+)mXESV2Al;K0{rqMEFJDU3{R|+%Q8Q)A
z4+jc#Ne0d~sR0xn?HhbvO@gnYv-uA`tHXP8L;LG*0I~&dNqQeiP?28~BUn!Y+Yj*<
zuAVZ5uNn4jXCIM31$|Llv{eD7^_CF#f2P3p!}V3S8wmvBu7}tZD?;7e5YM9kGYD|Y
zK2n5KA=vv(K-qUWn5^UU$S5;|ilzFn)MXWT;?Sf+;g^BP*Gx$dddxs`BH2ygpE8gp
zrxv9iNx*?XnU5<&W<X=<a$f7R63~-|ls038!J5>yJlbIf%M|XAxim${*NOTg^?(nk
z8_mX#ip{_|>foObS_-h0=YH+jZX!6I^L#@(YzE_bwU1m{<>1Sy?DwXd%<x8u?d@K1
zGf4Vgcs^^lEEEUSE{GhXgL@=-AhwvoLbfV1!)IyO&E%oZG{1(W2E1VYyx$a#j-JTh
z3X%fWf9-bhbn_UUs-sNP+D>i{M(?z4ibKRL*^ac&W0<(lT9wgtfTw>>*v&eKLVW@|
zhs;zLb_{+fdrAYiwzf%5ycB{6$MR$s-W*Jgw<$>W5C(&lmoKUA7XSfy!_dN^m$*mO
z*53706A0xKR!UaogJq-7<n@wHTs_IBw6@t821c)t0%UpM$jS1jgPEUjRZN(D_nZ;D
z`(k#e-<k-}%bmD)q8I-<=A`PXXat5n38U6J9FUw?`;AAY7uQSqOJWW*1oePCu5>CZ
zFi<N$xU_cTHDUY8&K4U$+R%W_<+DuiB~*7~D53+$m+B9d{?P~fUrVGQQ3j}f-Et-7
z)@xjMqw1o+kv{arq(39j5CDzu+TXKYi?5yL?2fvj2Wgou>5NLWaBjd8ZMH|^a=ZW9
zKAzNtEz0bGu-G;h*Ijbwac>PatJPyQVxbG>2b5XLJpW-^EefX_YFja*)14e0#X2w;
z6uDlpwT3CbNvyi%(S=>gC^50+(18caw}Q)PSFtJmg(D98`mxG+js&F`Z6M3<{r<&s
z8H+n`GQIH7H*7YO28T&4kgDD1WwgD7T~|J{YX0mywjJmDC)`U5JmgboQhqIB%_X<}
zzqgKKtzm|9X<eESaz)MHApauvVkr3Zz5YqePV9$vioGTr9|&|7j9tKDDS6se3%@Y;
zmc~;KZ5qIKGm9VRUBIN%uQNJ{|H1019_OkZG~nd+t2phUd5l=vtp28Q4oi>U|LbuN
z6>Ru<WEuPBv6|!Qy+XbV*x9*%!rH!6_(8a061+N(aaK%=JBcr0l0yM%lwTB}ck!;I
zm@i<&eS7X4TKtP8Hl}iA#!|pD?nFpW^#ZoJqMubVwt|%%8qE#lq<|rpf048OBBsig
zg)$b_Fv}FZF=;z8@LamIrpvN~rI1OQ?DGGxBso`G-E%v=U15Db<M$GFD@2%G_1qTr
z@nl*f=QA}pAjzvkyYv_1!^N!X6KH_Cx=~!aMS`fQZ_)9xE7*<G*8V<Yv|y^gEop5{
z0tv0%E&2bgVzXA4ugLik;JUcht*J~^U^;i}LBP%(4@^iphHcP8uBG>K+nfrR&+t7l
ztlYq&dVSryn;3!EIB2fxqyl@Jj>Jk|-^4z;2E=F<GJ`-heg1_yW#~Unj<|4t8ylv(
z8qiSB3i(vTAfu=ZkFU{}DlXH2vw+BfflYQ`dzPA>o2vvB7i4H+_30q&$gvL|F<fwA
z-MzO=S_vX8E+}f`5Fo_JU%pU)8%je~x`ZngA=L3fCA%C0cx1f0&5+6iI(07g^OlNm
zuE~FrrHc`S+=uLB)%hUhD4lZHF9k>}k53GHzzoNtRTih`_#tF;h|HR!05dD!yPlP?
z0=e|+lfbWnVE3)dAk|L+*rQE@8;95-acOes#-cEo6}<i`yVGC3x0FQvthiwNe(I{f
zz8GjhdxWjH0xWj^R101r?)Z+&LS~f&NJ-J{B}gd1*%Ky5^AGSqg|&E9$3rQQjH#IJ
z)>i<R8O#2&i@eYnt+ZcCLI(D)MY{AvDZu8L)@t@*e$X5f8h=(Q3n3%dT3+@jfXY8&
zf?Av)ME~)SzThMe5qo)UIDHf$rXw=@Osp_0?!M>oAGab{H{WaQ<y8W8{+J7@xuU>C
zo5GXwYlm;GyT-?9m0?wzCaCGRI2<$mtYq+61<pP?wUw==0!>uodsAd7Fc&r3E!|53
z&Nl;l&^=XXnY?>@_Ovwc+?7kK8Bhmnr-)>duNoBUM!r4xMFx`m!r6a>QGi48s;)-_
z8H_FOXt!I-fzR}>E0V!fFo_bca-F3>tRCmds2B2ZjA{9Pu#*OK|F}J9?XCg$e>eGi
zfg;SmPqyKd(uCj2ujJ8;CXhur->o()L2O;*3`d(LjOMC(+f-|V{nMW+dfF=Rk=nEG
zoTU~#QB}<@E7Aq$Gbf(>cSjYR&&$^NU(kX=cM`XAqdqufQ?3q-kRUYPzA)>Q7PuLv
z|5}?cgxX(2?=Ekvfw~OMs=K5X+!1Pj(IjR9PPft>&;L{hnk$O!`;KZtj0-{fy&M27
zfjHrPlMHEV!L@r2X#m|L!oq8kDTLGxP8ltdp~G>|B7=tt(mJ(VR53GXSGmzXK|_JY
zq1`ND)9T<kq=#C6n!yUqok*4@GHgg@D!jE;g@-O5%fzmm!==<~4_`=-VQ!VDv~j;8
z1o~Tsh0|LA=Z2-^Gm1K-3#RF|?w5t$y0<lKb`~&|($*QYN&?ZteEP!U5?~M^B<ps-
z0$jekG%B1^1;@;pl%Y^Tm@rf0w|2IG@aGkMQJ<7Sig5gJ)h!}i*wx$lLBs;4!}lHd
zK&J#o@g0=|ObqZ}!o);ht2vC_nf}%wqyWumxN|_|FUH)Wx<AFo96WM@f;MI3;7VRl
zOk~LiEXjpc>)Ggz4@AaZStrRrJWZai$jmsto=MO#^D~1k;;`l(kb-+N`-L=e|Ki`j
zYuT*!nF7OK7LD8Q#K6`3lais-7S5(V^C82*6k1k_x57aff_2L$>ecDcLeH)6?$-c}
zA={2eX86H1+U<*`FFi`UQJEQI3NS7v<5S+t1L5z+w7lOlpp8#OHVzjsXqDR*2wCBR
z^|or&J$a01%<QB6=rt2)yJOEWfU|<*YwyYt0uzets1*|`Fow5X@<^GE5$KPwFzN6y
zp~SlG^Sv*PV8CuX-oJqs23m8t9ey(+y@8zO$J2)3ugRBu?)e7R>c7tJbB_^8E;>yL
zNg2X=rt2Q`X$d=#f8*Uz6Gk*HCQJ$PF@U~aE}aa=87vjCva$>?pkTI$o3nZPpg17*
zHGS78R({Y<=xGcC+BOhl5Sh_~R)&!?yT5c|p2K@JuE{eXfqp}-J)j49abkwlp3Atp
zj+Ic$4|=q&mg6Rqr3*rLDi<gTop{nqTf>d#^ho~rVL|?N9Vk}j60fcq!kz8^ITSyp
zM~}izrFZ%1K$XZs&8s&*@Ds7!x7}XRqpYfHEo^Ptpb$rMW4rJ-&T7G3JiA1X2Csb>
zzi6lpv{<>O`=vSjdsVB@tQ7+yx}2fs+VSnep+To;wnhBwY{I|z=M1P}-uL-=RV`>M
zQIet!`-@9(JvXa$XGEd2rmC;XG=YQl6r(}S3T}J-{^hGXIlo(;CcRYO`Ddyd?ssR_
z@CSRR%{f<@P|xG{^U-x0AR!QNb3x)Ceo}kGEu4-8iLO?E8nxKr^^rXx;m%w52XW)O
z1Z`GCyY?xbxU(akwk5jw@1j9+YoiXnsceYNAU2FIoC;jFuJ%Hqv`EjmVV|`y2dZ1V
zdx?XU3U({LWX~Kr#FJ_4`Kf~wu@;V4E0j~9StaLN+&2OeKiKqD#fyl_ACNh2J5%6W
z?vac(G6VXX?mnt<kQ-%1dInf-kl}s5drWKwBf^9oyJwSm&~8o^c}qVsER2@dKNDm|
zCG&%7Gaq@;@AI!)H$SQai%wQt%TpF4eL^JWBZVJnF*($QI_~VmjQ^J2gtMWP(EZEy
zj|C7n8(Zp*+VA*z*a3n)2l_o~a#_|@2#uL2&HJ5FgWGuii+V>cWcl{uCsrX5WS91J
zWll*Acx)*O0?&zPAn@theOfVeWmwH&|1=36Z+X>pOmU+}&fZBL+!AQ&?z=;OUXx&3
zaxy`j#EbUUBY$~0DOA!R*QB<yGu(f1>m^>{L&`^$G}2t9QQkqI<7*{>ws&F0f7|>h
z@6SGl#oIE--D;V3V}S(qy@RwGX@aP~{JKK_j4T?xd4pPLrUoyUB!?fE3Zvaj)uDPG
z^2m*3`dFty4OT`NAdXWME%Th*bm~$-B0)c>I^OEQSs^Lew<?AP{(O)>;;Dq}DGXCb
z)yUxVHu;7ojU+N25lgQ4t&9q8(lUjK?C_@{TB0CT3jOVs@*Iv=MILKM8K_MZ*q@dk
z`|Xi5@|HjH!B|KQ?OVyub@`79v)_dxX$NG`z%@gnRe?GR#nUdm_0a&r!x`gita7M2
zD8j3Uoq{?y6y%otHQ}J~Yl4cYJmNUEc|E6&f?jD8i#)Dq0qps1dOJn|S=UO2$=Okn
zy7x^lvu<rTb476TPPrmFu;pH~gj3M~F3@qxNEcj$;(oJyQbOx9_X+--8i-lf_3O`<
zdZ4&Er#Jjd867+{d4E$~1KnQWkUQ*W08F<l+e4;Q(6vRgY&%g6B*CZHTgqYtzlP$L
zGh0+qf0Xo}pbjdE^??bOI%A04Qk)DwNkXpO72MA)sc2vRSD#293}mOLu0*eqkb!i!
z$)ocW6fYD1n-~pn@kP-eR|_@d$)b4p9UB>SO9#3&?{Mw0obs5hs~R#=JTF=DgoNUb
zWHdUr?-Z{7T3(gxPL5)4-oIc|L4mJ`-amGm0nsupPp5{2LdoCHXpt3Bf!gI&mTEJ2
zHIXDr$4WxB7VtSpR}Qsu{wiWwF$0$Vxx6F=RWx8NI^19)jd-3p-uWwJ4jdDw+3dJg
zP%*KxXP{9GP3*~2IV)-ojBDl!M%_y2Hcw?W+AW9<N=ro+)0%^3b&#9GF-6pV6D9?`
zc~F3ie8=vOW?;1U=!f^~@<@*D7=Oel8{+N#nbmW}49>3SKJ1H<Lmg?g(XD#)sFQf`
zbf$(Glx%ketxd@w<8cc^tC$TOlghGr)oBXF!chsG`=n9F3wu`bt2x|Wwm_IRcqgB8
zr3V`tB$1+t=y5vd5uEtauIlhAfck30Xn&^|s$Mae9+#}cB?FkYPG1Jt^?>H4Hk$~d
znPbllo@mEHG&H_Q2>=)tH2-K17eoyKd)clqe#06!11w|gFgPVXK6Z1P4@pS$#fU|W
zVF~eJ(bvOGAb65D@FmWJ7VZm6TZT_yG2Pt#t+$P#-(k>9tcr;A?6D>1kx4ASCdOj8
z#R!PjlYfuraUh?oH^@}6Da?-7>#Nq9A&|4pMl+0A(b39Rxe`Yvv4p2m{@*nX!7*p3
zsX~(pl@90cvS6LSDiS1QyQ2)iE93N+cX9Mc@@Z!|QXR*R&<s)sn)G3#LXjp^fDSR8
zDwiH!`HuBotjTX+)`v8ft*(=^+j!D<WB=!3!<Z*;4m-tL4=M~7x07}M;eEvTf&E;A
z*cZ1xj@2i+z!OnX;<UDkvm7Gq+co_O%TmuO|H!2a*Q(^ge3X}Q_Qm14^6Zb;_otF-
zry_Nrp5%3G;MpR6Z&J<ECiyjXRK{?wsb3p(`(B6VmCoY?X`fYv_&V&@t;$=0X4(+f
zQtp%8K8yRX+d7t#)376Q<8Li?_|>>}j+*gl8Xr&8GD*Btj`MR7x;5mqz{n=Fv)ua^
zZX|f(UsEKGZ$8Q7X35rsaunMB$8`#4)rp_kuzHKHd`>-8#IFg@LbijM9#7yB_m#x2
zI&|U%9g18(Z)(8d#^MICkRN#HzK27p{-5y4vp@c;<JW-d*)xIY=s5mpGE=1_=riuC
zw6|(Giwd=&jQ{oHWBB_Jz6JGzU-5DO?#%15REX5M`8M8p3||&sXW`Wu!B3w(J{Izb
z0;5`%$C)I@@aVd@2Mng8I8&WqUxWz-Q2R<*z3do%gOOGx&~qHmc0LrOaGwmj=Y*$5
zy~pqa*<<E?2@|+MUYhgiHg$Ly)XCq_GKN28{Hm+>ZVK1=^`PkGh8p<ye;G6P8OL=t
zW7G0TzwxbPt21AyYB2SIJ;+u12R<HLVsfZv249NFV5$fsf!dpW9LISl@aA*R>&3O_
z@EEqAO=6E!;hY?kz=*~qu7Ce9J=e~CvTf2Eg_l);`PisM{JAOokM9PvxxpgtcRp4B
zrkM)3GWK##ZvMp6F3jXrPcPx4bN}(5Nmquk5_uNv;cuKfEJCcbWf><6{7U%rTL})W
z4Q2bL&fwL9g9c5ltN1xM{`a=E5+Gi^iN=SsxXuyVxrvo^e2mLW<U^Sv%;@Eh8WQGl
zm+t7_w|qD88pm3l%RGwEBE-B*by~prE;YARY;NNod89|fXBA*{n0qrGE#hq<X(#QE
z(xN2o{`r3k^5DPq=$VVhU)(fH-t!TGfSRqDT6sg|K~X)|MOA18FPZtX*n`s}iX)5g
z;oovVaWnf#U|Pe!Bs~%Q`G665he_`Dij;#q;<SXd(gyyDLwL^_#EkA+oT~QNl7&wv
z3s;8EZQ}EZ7AjXc+0gTP+PZ}_Ss0YL$tA`{gGAKLw!$+wkO;-*@-SHzB<-B}<WJI~
zky%fXvlJp)iE{h=uU7{C1v`_vnFvT`B$)iHo*T`+ARY0!Bm)TrDx`WukA$ldvs!|A
z5!<~12?sM7(7c|t-c-bhmWrg`N|^GaB)+tcgKRR8$j{)<+r*6YB9+g_SPP=4`P~|s
zW72Sg?PIJt0~;Ej7G29YFN_ZEar&k6K^mI!4Bv|;a-g2g7-7pfQG~ucd(GV@4Nthg
zX!pqzQS$ujQ%ac<D5!B;>Eehqj5m*d6Dj3J>bJUs9h;@l#Me*cRBjoVY4f|t<jjj`
ztczlFon%mP*{zzn02w%LyblK{e)J^e$M08ka%eod`4xFk24pWNw%G^^qP>qzUmN$y
zqZCTXTyvZ(OjkuF`<n<OOZ(2@jdzMjZhy+ywwoNZw<UNxq>3V+267+cS7l^#(Kx~~
zL>?BMgeh{o5=dc}u5}qR33&^SUB!_CTzWPey1riuN&HR-TC`C|mrIhntwWTcq{Yfp
zt4kVP_MCo{Vn;#$qCYP&AKKa3X~m<(dt{Lr$AC1;F)EtCe8Rr9li*3<MgGKTIrLu@
z%SFEw4dkj8?G}5N3<lm;-Lq2_P-dH!^0B*`D5`BJQtT)d)`ZVYjG8E+d&k}d(OlKq
z@mN%1W2*_4G`)W!r<IWmI`wnLRvU?B#7&d;X@hOjiKDhDs;DT^BVzocHj*opW<0&K
zmuuJcZiY#yA^sNT!C)30v?tH7!9l<PbPV|JC?~3;>RA>~zn|Ku^zOlP&G(Jq!kPEk
z)i21%i@NK_YM?gq9CsSs)Wm?h_K9|~4+T}`T%swC)<RQD%aJ*Q02#ku6g{q@pxA^v
z)DM!HNdHlAQ9XkhsB?-wJ=0G?UB>DjO^2xHxIOQK)12mTV-H`*YC8pK3k4QWyjMpW
zcTD}7ewstjK4NXu4GPjo0Ff{^74$84b-&FG3y{1(w*4weK{fROOEX3C=#!P={rPnZ
zNHh%}G$D}DCvR`dkYy>9{pN+zTaqO>oezs{j#5LrQtrO2n-xMM2k0g{lq_LV!M3PA
zUlsXNt|iJ85z%PchXRge3po5Eb3Hjn8MV@_EH5O|p)|tF=e{`>@Qu;PP#{_njUF6w
zF%O%>FX+d6P?ap;R<{lz+DIOStL#fV@@^Cx4}5y}dagONKNJmB+m=BF86~ehg4eM-
zZkH^5+04PMiQ!`Mdnp8TB7JMU1X$JQ^JG0{23lfehsT}7QQExd+u={lpsn4+7WLT_
zcxU8SGC>$=KGt%07|9Om@77N<nVG`8wYp+bI6q3(6N(_uaKh*fU*`2H0QQgv)`H);
zQGMeH!2weuw6r|fo2&q!+2!GwqQikw%a!d8)exbwJ+|WZE)1-G3ixdsFrmN7VTLYK
zMBpNa^`<zQz;J53yiz+YGMG=-{W?R0<gTkq*8+_pEfM8}yjjELKfF}!=_Nv^h1Q+=
z%SKS3tu!98Fo&-{e>Oi|L4@<^Yes@~hETZX6%oreijRZSAA>j|kUYMo7tR|1-%~%{
z!j@*7jws!C$B_tf&OcrS>lnZYr+{C1a~GDG$8||akq9SB6S&VN=)=n!25tAO#xe7Y
z)$d){h`^+C{e=7%JvfCTW3OHPgQa#%<eu5&0w*tub+x`8TsR=t>o&EBadvx{%oB(p
z;n<y<pQ{VMord2lO08n+m*dJi#E5X+S26MeyDs>cO8GTxZD5jhQHIZLi4cFtSe0;2
z2b5`xOJAmMW1=R@POaC8P`fLC*N-)A*nZhiG897#dK2{=)jx^Q6LF4<E>;_|6<-*y
za1+3{yxLI7hZ~kpdUadSXoJ&i62<5)J=n?wvR6)UgOlJ~Tv@UfEbEqV)QdAhCc!o0
zO(G9$7Z%|lsRfEj>HX{3OtAc2{{FHhFZj-FWXRWR0<#i1P(h3Ze!XIMZ4u>zIUY~{
z%O08l3N_*D`K%!IW@h*$8$WDf()vZ48sNcmtbbUG9S)+coa+JtP%z%p`>{*|Sg%~l
zS?J|}rJB=GZAOA%*;Su?*iQp|r+ZXbuW~^eIiNuDtPlw3tuoArYQXAL(i^`rA_$!F
zzpXkX3<D)3Y<z?YL!pKR^>?|!+{WYF881=Lr6GP@s-(i0Fe`U{4iAv{I07#(i9vjp
z!`-i!s9-d@b~L4u7veNKMB*zX;GKyHN7NxIgwYSJ^>y+ApFzMMvZ)jhLk7P+@}NSj
z>}G5}g8)3%?K{|OAPwe+1q$xFP{CD}cyr!C5MmGACqCKXmdk;$x|7~ixOf`Vx>_a#
zff6IOe>`O2e*gdg|Njh^XCRer9LBS^?3qo+ImdCFW0vt;hbU2rB27`Lj7oV`LZl(0
zK`PRsG7_bf^*qv$QASaelm>-lkMQ>O{&0V||M&m;{VrSDhPv>*9OUgWQ|(n(!=mk*
zvK<cSLyo6#d2Tuf%)L$%#C3JBqqlc-Wg6i4tJmyXEgTf&J>B47tAQz_u@@WO&Brrs
zoi<XR3$8xN;Ph(Z^l)oKw2UFlG!8g6ALrs?sbyNTr#37bR8K5+relp>L8c?0DeU)1
zzkf>TfbW*NQE>zV%-EL!%g>sEk2~`&gsqF_L$^EHZZW}ixv1N2Z3frySpT1TdI(!L
z$|<9a@Oj;Vpuib3{N#jt+*8ws!f%22y%Y=UR6lb1-<zXh@<#U)83VL<*BY(JFvdOB
z>o*DY7AWjIv-}AEd>qcmc2Hi)Mm}+)_hhRjat%J2y#6&G!L~-{LSD0RXKCPqc_UWv
zD6f|msit9Y(ox<*)C9|NS4+C;E`(|7*7>ZnhA_U^Qz0&Ff}?34q({B2ad3RAu#6)e
zd7DcQEi7Y0-Ry<NyA&I=sakK2X{TfMw9*Sj4K}`*##udiWs92)c`cXS7>IsaU((Mq
z#%+UKgYSRsa6Vpqh2&KRy5F@H9sgqlKEv1=9ZBE=yCQkza|Zb4X6|zgW@6{PEz{=`
zfRl~7XQe6`IR4=1+&TGlI9#YVTKg9`C6%y)ox}iJ_~f#K<unM5IVt9?;URrb;Zr#d
z18PFAbmDUj;NeAjUAV%-K)?&yk=t~1%48SGozTOHx}YYl1|FjKE!dJdZU}z+R|y||
zb>JhgVf%ugJg~<KUOh1|MCpSM4Q45t=%bvvD*Ac2|KRaw8FL!e>gDzeTu?)I&>Hi_
zpLi(xDe}$RXg)He1b4=LQ9^V#t#P=Vhvwy-m4&hfP}0dri$5Zd@{OBs5vO>NEz;XV
z|D}f!i5)!aSQ(U(p}CbS{++){CQnu9;`*<AP0vONRC{Mni;MD5@!R09=@}i|EYV3b
z+$;jSsI6BHKLX?}J0{-xYh&x<V)dg10*L!qALir-IH~50O(bZ7ccw&B^8Oq=INn}k
zDh~L#7Gw|k%)?4|MVnRk{t{D`_Q$SnAkeLBl<?Y34T70B+s*YRh*$Zvllhr;;1;^n
z1^cK#pjPn`FJ+X7V-BZ9{<1}_OWlu%vq~`T=3DvU+b|Jn;P>O0sV!&)_b;S%E1<0B
zaQ>O$A;N}{tkxc3gVO2>j~G9BoOje;({*Eru=<@KfLd!Xn$43q0&+;p4Of5seu(&G
zT*9-RXAM2)p$>%?GT3+7Atx?snD7qt-)ppIA(m$5tz5BwE(Y2=kGjQ-5XVMpA34@6
zfZY+JczUoDKDO*q_H7y^wtG(IXVVry?ZuAt8<Yh0I~=oR`i&Ehmxi-;#93j_&^pIJ
zH*vf<7fpO;OcIkeWxDadEwO7bvr%153_B<3j;^|YiB$tReKKn;!Kf{x+|@)O@OIW@
z$)Xv8yG$`*qS^vuKV|+jE)zlal=7Tbr#X<$Wc+lnv4G|78uqC|Va#ZIEIJg)hXsQ#
z&ko!-M__b=*kgNPEIrj>C-RaXcCUwq_)W~=o9&+WW=06Kk3EM(XoC2aSGFmpzznI<
zdy@*fgkU@skaPB;5cW^?bRRS~!%`V~Qpj&1$f(AC;^>N?XT7B9Oob_wD|%;AwS{3}
z%^7HXB8udTi<jsxGsQ%J6Kgb780UryT^>e=<0M~WjASPli@ehwJnk39+f{=<gH}u8
zEYl*TBaDj|z0bP0oD{*~-6fSTU8V6eDY&FofeWFfmWS(?h@x53RcfcH44T<X6=jM!
z*x=}0s>%?<*QF!sTRdc;;P}XKcq0e<V?2k-jKz^lJ*pHuA%{J;)-QN1$-$^k*X6xl
z5|H^OKuI>s!*wLzTC~yxHfz&v*kwt=kXc{jXrYLH1C=GJhfL5j7509Esx(;Kyq1Ia
zm5|MQeff-?3H0KfJe?oR#oSvN=E1Hi@cgcRMn%j7iEhm6tIB1teN$Xx9lsjVE@^3f
ze#C~ar%PMb16i!s{PI}iojOMQ=A0M~VI%%USYP~8ISk%b*1l7(0j;5Jp}XwaaJg?j
zGxJj(K`*mk?D?vNGs<Z>8FV&&p7@#ehpvdEF9!xfrFC$IU?t6CvT^qbsk$ge2|rf{
z=|@`Yf_qXq<c%{MWm(~kMZ?P2p(~#Ge!m_z9=s|f5XZ)81M%l|(W(&AF42g8rVp$8
zPjk7wY}|O?r&&!`$8GmknSQPLxLN+Y>w>ij9*r1C9qgTl2+>P3r;pO${q5kMIjJV-
z{Vw%^`BD@8=l<N695O^w{}Hiu;v77-7s<5Vqz(Tc^&M?~4E!u_3(8LApyEXNM(M3O
zc*)<spWVcS?GoqjPr*g$fZN`HeY!ZedcdO1f(19<y>G2VOyQUHbV?~+4=?_^H^(y0
z7}E#4)8u+hv6s8rf_76MEc+c?3zCh^Yd-J3{o4%Jc9w94D-A&Fy1Tq;n+ZIGw<dVY
zS|E1)e=>91<|8KR(WQ}Q6J)GPTI{;Q64!HYlq~9@fg!%d;EOf~n|ec!b8cGU;+8_b
zf*wPN>NaQjFXrH&mtByu>_T8b{Yl3gI*#9*9F(x<Ksh_wz$?xg-z~f>B{LcDxGrjZ
z^xr=_J=)NiEo_TYp7O@sZcJpokYDPUX@amlZUaG4b{L7!7rfTY#FZ8FEyMpfnAmXt
zsdf*6kW-esr)frLcr0@L_yJ?Yl#Q4jNe7IoleN{HjnFRhBvB&H2#a3J?%vPkp)^jk
zU(3u0^UpDUPb_CZ#dgOP;d?xE<&8g=?Ph|n+OzEWM;aQeo73u)?NMzfmf63RiQ@{F
z#RHZa;8kp?%e~F^kQQ*4$thr9ujcjohdKW^P&XbRlw=RW_H)5h9UVrsEsHM8Ya=_b
zO=Z_rdq^E#V<%Z@h?|W%|LtX~quL=t>v^g@)RHevizm~-If3TT1SObuF~q9F?6GsX
zgwW$<^YOB{>%Y`ha#(gt>H9MWdla^WxsHwKBWFToM+Z|1rv!F9UOD@ZoBisVzR7yH
zyD>E2%^hJJ+5Ga}=p7!s8@ONQnCQa%`-;d9#(bzr7G2Hn!9$J2T3@Nx+6dpzr71X1
z5IrJ+2|j;-(uNi1GW#@9$d_@=Yw`~ve55!eE*^Ni$}7^wYaW!;{411Cb`!$YS_dQa
zfV1vRR!N^#p}bf6jmYOu#G!%bO{t*-oX($0-+x9KS5AG%t~}99T%LNifylB$q@T@F
z)18WVH+4bx)cNN`Pg8nuMyoB@7earW4w8q9346Un+hc-o8qIt!Wee})$DGX5WuX~T
zd9*#dkZ|+bs+_mP1`c8;vakM{iz|vHEcd{B#P*<V`Y|W0k*M=q`}UwDDhyi|YT1_%
z3ZzATQvE`t6<lt1UMh|b0b}pZx+>!0j@io3$_pX)A~*ebzX%c&N<V*3t|P`b-%t$n
zUx2^td!b!zLJ*$b5D|8;nOIwYZ&I$z3R|{o7+(?>gz_3|(GvUjM8@c!kb8<&xMHeT
z(zKr+H>Mj*e}#V{HVb-*>+Q3|BQ@boRoZ-@?YUx9DA+~(vM>?0ZMDDx^EYPcQ?o>t
zUbAy~z;|LzY@AP<oduL-j@vPnXNV!6j4tWE9>O@yt-m$L94CbeHmD^0CGy|?r%xU2
zBVIS37*|v`$3nBKeUt7}M3FY3SaoTDsC&kY+@EBIxB!JQ!>yCV*Gm<7no)y<!e=+f
zA0lSheoOazS=j^;nIdNOY|k(;aWT7PS*$6>Ql8#CziNU=$!F0PhmI1?pPE9`1WmD~
zB0AXHaDo_`^fY*zFir$5>ej6~!3AyJOZb~j5Tg2Z5%jW2Lfq@-ol+StG&=@F+e0Ua
zi2S`}VItGS4b**#`sec+wI{}-e@+l{ZZXm~@0}$+DE@gOZNvflfZM${rzZ)Ola;3X
z`S~y^yiO>PG{F@st?U8+DIzSRe9lWBems|0AAQx+1mSmYPM_KJml$cP2~24HrzXMH
zEumd(9R9vpO8WLRp)S-f@o9$;UUf~nU(;bDa=F**<#Mxx)`0$PIdu^fTdI=N{>J#I
z-*n`M*Bs~t&|?ewMUh|ld~NGP7A8EzGF^Cl@NkLB3hx%j?x!n#lB8KM6F=8**@++i
zb2-H!l2RD>){%T=ml5pmg!KgO5P)3kJO0Lvb75b&CNiUqiIZ1U+T(KtK@AlT2oK6Y
zs7HDAqJO#O;6j$m%oT=r)P>)HZgObr?5f_~$iRG+s~H~WMKJ08VVPvTJd9_v3OJh>
z&|8|2-s>QSl)_@=fPZ_V$;fzIGf79HzHd)~ngsgfQx~f<l`$sMpkI+iN1cVVZoY;T
z)M_8c<jbnUzHB<BWiuTKHnB_e+~$J+{DFI!+Uk(0-SU;gp+iB--mbJw1_RbB#aFG>
zz&Uu6u1a*+==&O-Gn7OB!Gfx4N(*7H6KbUu=;)GMT)+05JO+K1JJ&OGAnm1^-om0I
zPI6Aki+PF=s?mDYmY|Dm=6Z>-{&Z|EsdU@(TnR~4P0LRT>%%r6L*~dcIu<9Ho_cgf
z1=|&!#LQC-Q0z(C*0?g@AKEUM9i@f_{`YIw+0r0+nb*<I&xBy%@=uMY=OKCZ?Cx!&
zhPbR|{r7$!6HNhUY80Po;?mpKwwo&$a29%_pDoWqZuV^Uqf^>Y=C59mn`DG*XOF~M
zgd5|k{_&pnY8?m|9^lXMHO6Sfs^V3OCJ?HRVCu{1A$?O1qf*HP5??z-TI4yH-=;s(
zu}vQx?+VTj{xLy9@WhH$)?8RjT|e$tWdQAkmZs6A9Gs_JR^mTpieT-;CuekNnBt|_
zweRHO!HZ`;X`<$+d7K!0Akq+mDbc=1N4a=fes^_ut_5~@Dpg*1O~)BKozTQprjWAN
ztX&jhh4gZ3(nE>~A>Z*}n{ZQ9Ec`ReTeT1$6x5P5jE%5ky0)`_vnd+(KXi&%Y=as7
zYN-wy3q#7x`v&}`_@q0O{KC!-{V%UPI6T0@;Z&Us@oTuqQ}_Gftq7b*a_4158l&ar
z@xV7*Ip}?L(!_ZhFg+wzwz<X_^_|O<d2AD;i`Eu?eZ_-9%%s>%y)o3J<a3!3EEK2o
zs@;vTN8bAdil>el!$s+Gc)vXZSv9Xh9?3Z%>4{UT^Dqmw&8hmq4fElbUt7xwcfd<s
z?$}K=7NV8udPkS&;jr7srzIs0=xS*lmYidRi|&!Dx-M#A{E|oAx+VuiEsgS8d53|8
zr_ZO>jjBL8`+GO{nFH=$wvw1Oq9c>OQs{Gw9F|6F4RxnF;BAqfT;xd_*ms;m@*jvJ
z&oj47%FO{84N6KrjRugjAo)7zd?+#NpdA>p$G$TD=xdVtII?u3WIKJ35LA)8{^Gbj
z{G6^Ta-DQhw04Vr`Ics4^<uBWX<2)me{+O;<(M|gI^@s0FKQ)O4R!NYo##Q0!7h87
zt%0L{iVthddr4s^3eZ$|c=skdSu#isYa4C`wtEbd`K`CF&0GY6_Dx#UZ&b$3p<c1Z
z`f+l`YFzlX2Jmak_{G(+3SeB4?#*ePBHzfgrROa9$J6Y{Ybl+wkTqFBikD22DMz;+
zjND*{FoRYWtw$R6>ovC=e=tKzuE@G~;-D?ownZLIj}k}N4cpiJ{Ig_UX=ab`RU5p_
z$qzG*7Dn%~9R12yGvpE<>DkZq*0`78IQz7lAF)5S*^b%IkS!OA&c70{hEm{<IzyjX
z;(+=?$xD&bWd0S$XIpp+@p8qALuywih`h4x9OtyZWJPmkxXG~vu%3~j0%L}W#pPbE
zHg~4TU$-(=lr>r*rZ~a1{`YU<UHgaq`cEgxK3Nl`3wl=YSwrjm{^bV|8+}z|^4A18
zBe>(}`fy7$^=wP{Omz}Y?MJ2WvnELK`oN~VcNW-k)<-s_{SEQ(;)VHNlE%rk144q9
z))t^{^A%~@RuOXV%vRbdkCRH?aZ&fLo8z#8WD@J@0dj+Z(nrM?W2BdnGwZ9gIW#VH
zG<!aILLPcs5tn~$jJ)t}Fyvg683qyt1AN09$smhdhm_l6<o>YZ%yYx0D4BgwoZ9}5
zv_7lw?9+!avM4*Xs5HnFhkg%p1~Na9%sDzdUt*kO-%QZ>^^*&;R)K-asV^kw`aJ3O
zhH*0QePyIzAQw}oiy}P6zma2eo=Yj6ognjG4<GnFz(Mu5e?j`ToBZ$Q`}Jb6ljP&P
z#a*cfIQTALb8Gy{FY>Rd;+5W8Q>4UWjWc~h9I*BrQ2OB8PloLom2jQ?OXgJyt^Ar|
z0=tJVZiOcgkbh(cxhe@WBvIx&XCK`Jtp+3FCNqD?puVPS-iC9iT?>j%bE4U(N-1|*
zw|9uVJD5Yv(D*1;tIgEShsG$`7m}ViK1?Pa6=&RW;-}JMNS9SZEW9`Plb?2WlvGT&
zBR3xtpgeL1Tvl4Lu)XEQ_iD#+l7D^U1HT?YYE9k6g;g;|SS9{fyj*FLyqE7dzBELb
z66d9Ncf4i7N?uG>Tl_Ei;r1C_0ew;Gz+WAgUnWe1WL(xI^=HVc`?@i&_{6Ec>*^_s
zk{Ni#Ecj7pK8NbvMc=e!t|T@6WN+W5ISgbdN;1aw@KIkncUo+7lcsho&uDucN(WA=
z`(J;_PqposEG*q3LzRayqnt+!(R92&p^OluT)dnXpCM%__e(pT<wO}`p<hM#=2js}
zS0H$ZZ7ol|zUy_7PstE}b*Pb#=R_!Lmm7yI+Z3o6&lM|@AJeceG+(T6zZf;F9pvqI
zMTsJ>oL%`VfChV`?vVI63Ci{FbV%eW70NB!-{6BW4LW5j?Obc5s9?56_sUypl#A1!
z=P80Td=t(1en?A((z!l#E8+J%YWc|;+x*}2!N}4RX%Cg9g852ueY+MV|ND|AXJ|f}
z=&9D8Kjo<DYCX#p;yRQ_`uO&IIT}uU^P8B8RG|Fn78^nj>QW6mHS3qS(~wf2>`Iy|
zQM(s;XYdK>Q)#Pt?<*hDu-q$qrH_mX<vseFjL$ZpIQ(}Sqa6)#CG2LOi;Nm2=`tH$
zvyDatY&^q%L68nn>2j+Oi+R+K>ldE6E~HZ~vL}r1{_~K~I;o{{M>MIId1}ElZ6<Z(
zwW|MsF%$0}FJY7))TXv9&fRoTjz#H>_&C(xHp0_<slJcTbSRasj@Vo=HudClgLn2W
zW2E+KpJeFhQ7<$uRPT&1q4I1y-B^w$7)%}r=!w&(_z#Mzt_$Q)v@H?sHc=dukL|i<
z_1A#n%{Jy7aOP5VMINE#4=$E1d0YG?ghuUN5pdF2!ju|}?C^dUX$G5gzP-c`L(2MS
zYvH4trqn|<`FRKJEx_5J`<1?uL7fX){$IX~86`^Hk8faEVLSPyROuFzD(X_%{>;{l
zazDCG^|{qT99S&4X?2GYWhwi~=98WoRdHiW^m8v8Twp!3Jo1Z0-3foAxTMsSIy)GR
zu5dfd*;nGitum&Lo%MY%J<Fx!w|{?H>I|eBM}(BDWm7{dx$mD2aww&-1od1;9s(nJ
zjCHcv)NMNGH5W~&0yphv7KZjv^{`Q%yv3%T%WczR@flMuXUodoblZcr=H~f%tJsvG
zuhYfwU<P$#-$+B}VF&c5c4bKC8&g|Eyo?`Sn@{am53_ddb-*<HfaBZ}7Nr|Q+r6+#
zm+CS<yl9ZV2&aSFUzJB0Q4?p*G))g`Q1y-$UPr7KVOO{0hCneU^}H%i-KtiJqFw~6
z$QmqyThhG_Yd<=*a4W~^7f*(&PMn*t_TT-3sgi`jB^sr#;ku)5K#;n6H?CsN1qXat
z8J{FuYCxs@HN3-_9wBeM%Rcea*Z~Kn)@iFX=}}nEwX8exmV8om&R@LP9wS~=ozp!!
z)YcCEZC#vBg7f5Isgs305)LQ&ypqtSJomngxcy*|aLv+}m{Z6@YICQ<<%oIIp(?lp
z)J+mD596QbGkEaydUJbFMwOC{qi6lvFb4t`EZ??d0X63n-5lR5QtK-Y%@f|kk7tsd
zSDE^N#FEqht!|g2=oe!8ifaYHULAdB?=k{`r#3n6Qk9_u?zpHnr3iwhwarI+y&bln
z+1*=7lc0R+I(_8_1#w7=Xn(%X7C+holi!>brc8N}3nXR)v4EBK$Sc(bW5(=4?Bb^u
z?YQ#UyGaneXFB}$S6QRzi|<vbplLFQv38!p5kbURuX~g^z7U7&G?P@HjFRpiF%6m8
zf+#VqiFLAA2!B1lSl#*ovdCx?<3X_iw%a?XKMP*~9@i^CZSp&LCof#g&s_jdzlHQC
zR$C!9)AUy*e>?e0>2OitI6rQ7uzzdLvqHw2@Xn75o|2>KD-DY7^26eNh|p}PB?=OZ
z%f!d;6GhQ!Zr2a-BiwggUiDiG9QN5!cq+b$FiZV074FNA#MME2^#AcU&)xLmf6qFI
zR+Doc*?#=^@HOXSb(T3UO@EoK8Td+=PJDmxCz>A)QYv}}6wN_<R#e(8`jhbA9c6i^
z;-7a2zo-^CX@*;oJ8!B#=_gv=UiIu#6F|1omHj*cGc5hDr>E}1A0q$aM)QnR0eJ6-
z;a7+@g;UY|w$KMd#H6`U;x%(YY&^avW2=BE(7YyJoEjlE9ZL%SIwFXzPELCaPjYc^
z<HO9))EM#T#DCXzzZb&u{Q;{y6}hl$xv`~;oFLAv>5M)2Ss0Duxt|6yInX9=to~Fr
zMLZ4k>I;}FidaiV5#It1L`J2~7`~Y%M5huGd$))|rNT`#t<eNqFI^X%KQ>F4bltP>
z?h?mm4>I&!unA6*x1Cc|`5;(4xb0k`B&46;km!^#L8PKcgUMoksB1_11o=z<%lB&c
z7rWS)KDRYz_i+JqSv#a(wUU9m;p1hF)y5F-n+e|VQ4lA;Z5BW4C5s(zb+5HDjWPT_
zYn7m@Fmml(&sv?8L(t!<2qKMzBj$su5iKInF!nOt{8Ju@>#u40E3@FKJ$a}<N(|FC
zt&0aYE5a`Ahs5@4Mv&dxJa*be0%G}_j((d|f>Xm<^Ro+$(07Zq@ve;&Zr#l`wklRZ
zuHVKld%rT_vpJwG({nC#Ey&tW7t}DCvSZtqt4!25(3%2X$sqVmro#Pe^Uz<++#?Xe
z#DWrw1}`x=)IYTDTHdS)$z^5vo@<%V4ca<XwLu<N6x>%FNYzI2?8=4YdL|maefaBI
zuYj2~Iw9F@I`AR-v=a_75w5Rwb+@+?>|6`in3(E8r})L2$Z{rfzWbazD4>FEEj|yT
zuj=EgU+`qTo)Mxh`YQz1sUk49mglQ8A72>pe!4|QFj5Q^_*kTlsIEZchxchP$vM0}
zelH7|VhT-f%QWy>ZS?VyRdfu8g%xe{|M&hhwYqCvTF{f?yOTJ>z|7TsW>zU|Xk{_K
z)yeB%dgn4r|2!iI-P!-iJlX_qf~8u+_PQut^h5gdYGW*ag4`Kz4!mxM?b46XL;Gpz
zyOMv{h$+-f<MZM|`PRE(KT;oM_r8q{Ju*Rm_i5XN1Ey&5?|oP$G#@b%lgtJG`r7rw
z50l<jnxW=he73U-4Se(8RYr_(u;s&d*EC}bxTyzHKjIAGymmcp<7O^GdGjt+lv#o|
zo|ky6gpR{ig64i#xwyB~W?uic1!&<+jL_dQP**aMn3cnYYmkuoZUbvnW>w0WH!?BN
zS+P0!02iLgPs?=rZ6GkQF8p<t5eEN+c-Dz>Vf^*PnTjGiv?;kvZC}d5z|YGCot_+w
zws`(1HwRP}hdppFW<f+)+y2kie|u7GV?N2pL#A=M-Nx@MOpm!FHiZ4_k;z_L3?K2p
zHRqlVZf3#PtLS_DQzmF}@y<MVd-S~23;%ZLUw^zX*!-i$5K9>EM+<80@%2B0YwcY|
z_@ZHQZTl?)c)z{ztxU%O>I)|+6-gufd7d|ZCrlSrD+&wldN`n`HYvSsiUHl7^F;67
z)kMXOWl2wc9q=t&hLA6%V`StlFP&0>+H@|jZKVUYWf@s|c^KkJ%aO|PCGzk%dinmW
zz5~{~hm_oUH6Jq82}`1@Bq1=A82qQx9^u#O*C|^XAXhBekZvJ}AhkcIE}yi=ltzJp
z>3Kc8vldQ@{W3u)?OHriKHnZ%=Gm*#hIOF&R&dwJf?q_-k*~$4AM;QVe{eVDt&Q$x
zf0MJP8i<&)fA-#W;vq^;xHvXd1EX%AKb769C6|07R`WFii_=zZXw6VV(kHz+^j%*_
z|HAXV)LLNNV=y(gK^b2}tmDa=pQLwAzO_azfg85{x~?2WJQ47^)@naM=Jd<lm;3f_
zjydjw{Z(>cwcmGfmmVblc|v`opdBojx`$)pWH9g1*GuKIgJg1Pu``Ql3#V#1_Avn|
zFbDEudlnCohfl@m9$RCB&)teMl&2VMjz#tVCo@ET8IY*!Pq4=S00030{|uLRIMr_$
z#zR)fvG?ANeU4*0w`8Q{CoLtr%t(p`86}ZXQdEjcic~~KalVyGl3gSuJ3CpG@$>Kd
z$Me3|^*+yYe?A`<KbN27V1sYV%>td%(~Q=iH*&3OjB)H(;D50KEMS-U=5{Cd7h`6^
zJ9OJRV~qSzUU_|F4Gufxdw+U3#dy|KKl9wd2&Ro69J7rU>9nfh;X1WRMnvPyO7(0*
zgr7F`G?84Or*n?(m7Ex3h<-IFb(}Ro)nM(GjS(~S>dM3K{*;U`eBN_+^=&i2%iabF
z&K<w#(qA^5H@-B?(1<NWVgU_$<72E%lH+vK1h0A3gh9qzrM6aXJ{nvFXn)2w4buf9
zNJL<MKci1BH$>@#K6dh+^i>q?rwgX0NcYb5GHx#xg=Gy;aZCQihTfw+^fw<gWfX&c
zFjO8;`L^z&qPNh$FZOB&o$KeQ2~D(z!4qy4zfwy<$IUajGLoO^PJ4DVHFR|`r1cV0
zQY<OB)|>ZZ$G%4T5lM@A@4;`3O>;bFI~jTiKGEa*<7f?i`7O(T5;h%-tsC9DU(@w)
za&+Vz+2R#FOHOh@W3ip_?D_L2N^f)##3a`@^0S1VH*{{|4pTeht?^0SpPO{iV>~sS
z_ArNDlJkNRx1)`*{yjC|cZ&{4jn-vj5<ztChrLw_6JHpnvOKe7Hyup-*nPgNaGT+j
zll57){tLr;-<w_Yz1o->RVG=Ue!}1YNI<v0xAQH2H1&nS{_Lk_2B$V^^LesWxk?$%
z8$PjLT&;i2vo~6RrUj8$UO&b5N`~#uYunUk+ZgQhN>g)hO^k1;IC)a>HG?oX(|fPA
zoso^XU(>fW@X}BG=Y;uN#>hahNXxIUj2li74cuL1P`C?70(LcwFKgMewru^z7_79t
z;4MSOHorGbJ9m6!h;Gl<3LNfakgp2w=s&2A9ZWrQ)I;@*8WuHa&$rzS2DPlm<(V3$
zLkEb;nnuPu`BIP6qdg42f4%`P*Q%jO;!{E8;bz9?7j10s9{ga$B)ivkI;rAzyJfN*
zxs_r1_xXpMwSA0l784;kB`P4bB<=NP`NG)6%@ocW-_Hmx;VD@ZRDpEz+)LS|Hiqt|
zQ-r?hAS2cH@!Q%kWt46@uz!to2P2QVtjZ%Z%*dTL;rQF51buy%Gk^U$86=i{J-=up
z4C%UjtI(}VC~K~|wrjkbLAcBR=#Lv?SlPc?(XCR%Cl~H8kJcVW_O|VlN#c`?nm2Qw
zB`J!S_G}zwIP@|im_<uf{!B5rMD3Wh9w}fwBfLI$wvWMQbUx#L!Zd?VN#nPRngVLx
zNVe{KHNZ$|GcT{Uong$xvT+vW$-{(mI5MVUh@mi^c;qj2j$wGo>WrF>JSP6u+nNmi
zWbF32m}a?if$=c?R(x~094>{YK31?BV<czpanN}3m$B9~tn8JI98`-9VvdYWFtX~3
zOupMLF%ol@GKD&1F%wQIT=_Z0aElEwxh}Yd=*_({ybvUdN%Kj%&e>^3#)+}tJ^4&T
zS`r5Cam!+}#jM}o)%R_&)fGN|n1u-7<J0@#B!iz5?fX_t=NM(exg3kGtOWb-0s-Az
zX*3rG*6jCMV35zbEGNdX6N{4TUmRbNLS)q3WZC<_3@4X!8*4^5iDv(~`Fc+&h|QcI
z*yg*$@JsSbZ%E`O-nEG}zi5|4-m>V4CABp~ii~0Tt}tGrpVe7K%2^V-?cdlbykjED
zT?679_wW(jR}K&xXCz?wGrg)jk%jO{6^tZg1&B*JmyWN`mVordJJ@iJm1y0TpQj=!
zMC^Bbz_)Zz0;HIV-0VVjV!gFnjlZP`Q764OdcU0n#^xf9$%?Kcq^2t@<#NS{0QF7l
zeeEUin9IcUP!%`f`F7HF*hZ4rOP*_pJ|ls;28UzE@_32sA*!bTsml;)K4bBFzDq#(
zMu3Iw5k7+LmqL!cnj8_-0%eU8lIT5VHl0cnAX0YLyIS_j6X_%7Yq<AF;aG5s_fAzI
zqUN9E!0uOy#7qr;68{Bhuyq!j<ZKclbkaL7OTSkp41!K1HSoyd@6b@ff0<&$X-Zt$
z+TW_gmP`2u86-KJyBbt@M@f><o^TlM+CV1ehyc%1yX9fT9UZ{kFHL-rd7rkUNRz1V
zp$cssS3n|Du$bqVEYUKY>@6XsLu`MmqjjiT2^^!AYsgXZ#KDuH$G#uZCDu)~9P~F(
z#mULmiX&QzMAp8rBRz$B#AL5?M9x|=H1wuD>!*~6D~mzvm!~Mi-R_Z@Mtd#L)FgTr
zUaJs$yUpYsMfHhuMt{#$@##WITx%&PQ;iUj-nqd-ltzTlWNtc6ryxkRI>q2PnTVlX
zGH>ao5!FWJHqDRq!PdP;<|#CZ9<MnHvB!XrFuoKsx7!dF%|SWU<5~p$?1^Z$qXvXa
zTWw^oh6#{Ny01smAx3}gXws50Ab!}-5sRYc7|*@ZWc*o&xIF25e_=C?D6BC_dmjn-
z2$X~hY}O?rP8oPC{i715AEinw`z%mU9WdXNtV>WM2TXD(6yly^?tNh;OI&u|tl^uf
zOGpQuld5LXB@)yQJS^4Uh!1L81Ve&!iAK%<{qNkGL^M7BRS~BZX7^~ZKjP3OxX(_L
z$Ym<TiKgjW-!rVBdiX~Yua6F~e|=L_%{F<0H?#5MgMKU6Gsh-KX=@W3e{W;@q99KA
zCemiR#;uSQ#wGO5P?I?QuVr_~VG?2Vs%tK%(h35%$LgJ#$%J<?S4$pwg;Ct5UpIKb
z3Rcb>hZM6^3DSiWq1xOs#$r+DQgYWu{E+qZeyXHQFe`_*YAnprIr&G*6|6RbMKx^m
z(|ZcUx=K^C5NlS{zxgNn?6xI*P2#BX8gj%vf163}7H;Hevv%*E-GGe1hyAn3Qbgvm
zTTK;>4`<few25rlfWP+s7Mq#Hh!DPl*7Z~Y{JEHUi1fe$p&u3mB3}p+1?=;=-!2G3
zf)SEb!)1XKW^e1?uStaD83ietvk+#o?y@F_0cB6xuQ3^}BPvGET}`PMLitE#$Nerk
z5)VJkC|;fStgjFD?fD~wCl<+ZeVyhA*A@S)&-#ynyOc4h86ogW+TH6IH^VxGDYr_g
zDTeR`*C4JYA@~bC^fll$L%Q}tSk8v848Ct?t4`k%f>1*J)LFVIZocU{%3b@09x0Jx
zo_R<JDYk?9j^QR4`LB60wy>W*K?*Zjqza*vdL-ZBy)njLeC-oC^ozdt2<u)Fj}V?p
z7Y*%{G{$F<VKHjuJiXyTZAb2mAZ-3c>$sjW!uiv-zs-*>(S_bcsaQ`6VwPl-p4DfF
zx4cIt#O;|7m=$Rqv?2(mQ#lzyj)u_r#=NKF5et&KHztoL3qjtYAkzMm0mQfkCP%-r
z;#W`Z`=1Aepedekyl<-kR<yL(GJ4oCRX18@L<m7KZg=tMXBuYr-urau11E%kCjW7w
z2*do{c10U68qWU;=#;z31r90t{tQAGnoieJ$NuTVT3h#3mkSTXj*pNfy+tq`zB&A7
zhCZJDH*363f)}C7$EAL$i9+wk25(ooK0e5ntf}-N;fO=y1AaC!aDF`T{`?pfH)}TC
zGO*#pvB&GS`Ywtg=USxA!)z*&9*X{RQ00f|#2v{7ZV7CgITtABLPccGg-|VC0c?1s
z)v(4u5@RkgCtQ?PdCz%9<MEOJf=|6Zefy*o;@qk&24*N2yCTLOJ}Zdm5*H!aHfg}D
zL(Qh1g3NkvAD)HPzPT1%->oEz$Vd5a$wd_SKUUCBXA=R5^WpVpqq11|bxwYBHU-uj
z2G)toi{kxW*K<2x$|0TgcVNIx3fx_o9&Xz#27$|t8Vy(FQJB40<9&~UEF%qvyl8Qp
z7%~m{aY6z8A9PxzDkwPL_nh`$jRYpwa5>L<D55y^bWd<M1#%omr?@4hpv`+IglC5m
zZbVd?Y~`oo%{^HlTpCVfo}$u?%6O;~XB)T5u_GVky}pjfz_o#=V+~CON)DB(Bl%Q3
z!ls7oLRs)sJnr;WP{n~qiA6#J`Y@RKvqK|T4$1-BxrRB^@N&`n(TR)t&{`+@@S(mu
zDkdE5yMCzQfmcebnJ5jR@g}?7|H`9;TeDg7p*j|*H<UG=(=h+7|ATdv0w(NB{2lg^
zA);`<A=AqM#=HJlO-3j}moH!J%orIlysa<Xl?+jKp@p1fq=ctqq>Q%x8p!?D6#w+M
zA>2O=U*0jQgm7B=u4nf&Aiq{eNvPfkcH9+`A5xTY%pg5yqDljYA4Dx4DKth_t5o<+
zWfcs(DHpcN)qsTizi{U3CJ1#*yX*c?1#h;}RUbQPpxEQUQeccJn$@+7>V#CWc=^9w
z&)Ucs*8FHP<821F!+QlAyj5}dIJ0JnG#MTnwlKw8nWJ)pfo|<>RU|dNV;0g=$LY!t
znwlUTySKAkC@fP&Y}eCPV_`M$tDNfKY^38+&s?!)kt)9GntBH}sen(ZwECzqaBlQ@
zS4n~@UXo?TZu==Ckt@#l_8CBct)nB;N)<u-6n;02E8^|Ukr=b*z_fd-g~$&ToMx|l
z{K8EEOGWgMgf1Y4w9KXCs)9B1!+A<ga>#MZceI}cp0)E&MZZ<Xygxzrw30>i+YN$k
zOTekX$(CqAW$;Fu=e|yq!k1!!z1{P`;LP?refCPY(wAEnTP}{}hZ&<${i}8U9X7~W
z{jVDrUIhn;iQ>{5)dbnMK+E#Sf1TM1P`2?>e^w#{^&4t>7B_%WRteLjDtU0RX1%(Y
zDgYY}4X2adK%9D5L|nTZ?uyIC`Iqp4=gBrcXD#4!x2O8n-?DhhoZ@&$f`oiml@}j6
z>BwFhSXktf#ha(+zdN4ifoRxE`>#9b(7jVspK(|kv#(loM|N_p&U4Qr`)YFtBqb9p
zA0;6n6HF1g&WT~-%$<!o<~TSxFyCh?flY@8t{K~LfYigGAC_T;H~hA`g73vJ8FN{H
zx}P0Ydm>icn9NY`mm*o<CyM*=A@iee*`TF+%Yf=*iZgf8UPx$&AftH8R9QG1!m7LG
z2AWJzMSN~B<P=84O|dh%C)vPi7V^Q=)C9Yxd>dU^gix^2`Acpw8}z^1eg6Ew7++6F
zZb%RpgkHfSDOZslT-%$qwM30!wx{5Z>ox)SD1SbgUd;|BuXEaY@kTh+cHMp3Eq)xi
zEhm07nFE4xF^_JnF~Z0V_Iv4^{J7j$yQCb&iRrr%W;Q1c;dPbou1_)_t`v<cBwk$y
z!zk|f;duizr`OeWYw_XS4>o1TPh7BO@#-o$VE_}us4RgY5<ZYitwt4iaDw`h)VD&z
z>->9X)k{gp5$sv;&sdLktG=bX@ifeJ$`Lzmk)YF3{H0o$gdN<4m$bxb*swLTw)qAL
z9K{@IMpGp0xh#J3<tlfbS^rFt`3VW!?1{TQzw%+=szgYltv(_vzVz>GBSFGMyZ2Qy
zKa{0*M-2^8anI0J##xXL5fWElOm_-^^X`0^SRxgr<-)eFy;jeQy;}+w1i>euDH3i-
zg@s>dj@?H-bX`6+RjVwFZ0j`f<0BN5jI;N(ZsdoSyVrHnYVOoMd%EHHT?(T29(=uP
z^*;X0<0}7Eio)R9O5&0S1wT7or@tN*fQf>6qMeF3empjwyrDsX!ZXURP&Gj?o2|Wg
z^S%TwdMxElFX>^kOYErQZ$VI^Ni}6AQkXx~dcLGx4^{<Nk7um%!6kCFXXBtWF6cce
z%&*i#w4&r1ziMHSkK8}-eTOU_k$x#ZEzm<b>1R#vM-dcNz6)6}mxD)BX;|SyJuDn2
zo3RXwVzFLkN|7p$*08vYr$u`BLXSC<FDec`ruf@YdJ2%p`r}pgK@Vi=*R>a%S3SeN
zEdH&bB9@{z$IMUaA!o=_hyA%E#@D}it!<@*IYUMH2xSU9SdK25%1J||?oC_BPGtn1
zo>M<^n1X>*+lSjTWw86Qnoz+(6~tBeI`!005G<R}$eJdL=J#Ydt7EG8%z3E)C5;N-
zTb#n>ZgLp*-k|>bv>IMV+U<K+M#V1Kp#zZ=d7SX+c6t`3j!KcR?xWlFF`V{lB9ub`
z-G8sVuXiUSu*zro>tB61g<W3Q)vbW?N9FcYR1Jg<OzcUjpdqmJ*bl!VMHC#q*lahf
z0c-hzy!b=|s4ov3&5Tk)Uaa2cmSdWbX($-t3pT{N+?JSNTV=Gp_fSmvqKT$DTFG@U
zBREHVag}3Hfih%|EwX6gk6fPZ8&6~8P*g|{3RKWN($#-*K@+>z#Wp$kncyTnHDlaT
z6&JTUksF_ALP{`LZA*wLm~xUUMqjDIS8OCHLq!w*rvtPFPnsdHnose&f*NWMT@fjC
z(SY;hBJ-o;<`}u+uYT&F8qRM0<Qn8ehNi{VphXWlj8eD1kUX!3>V>DZ)spJC7=Pq|
z@G5pJe-?Q+AEO2(<@^Nh$Eu)IbgL|%2F&%`%#HV}LBwG9ju#>-@cDc;CB6<|gn!PI
zC8^=6ZBF7RPbFAixDlni%EQdmGiHCXRM9lbCnmPKr!Pv?Obi-WV7UB1lMtUO825MG
zOkUl`+iZ+Cq&Qf>@NtaqBM%j@SjRfX3Ckjn(IJ_*&jQZ7TrBc$Dr4=xUk#gTCDFj9
zbH06t1;XQRw#5)i2>IQ3wkksm8fQ+KeK)m$=Wtijbc-U=wyFdrJrKrMzp}{vq87Mu
zIXLtEHwAo@oqN^2B7n2rLoaE=fZq~xSV^Zmy3;-ev*z$YbK-WA%VQv(d-D~QZ*nN}
zqZjm1coAY}7FX^MM6%r!QTQf{HT=!ap)a^_mibuwS|uQXy(!&;kU<msqtMt64h+;P
zR^}Aa;mi{rQ_vxWhLvKM?DK4>e00Big`W<pqiLq_I!W+bnf=&Ox)wn$eiY9jbL{JE
zdwR}693gWN8cX|G5EaO)T>8-rU1Ha)hMtRpc6HP19zSLbb>C(_qilxp$Y5@3BM}6C
z|DbTHjR~JTIK-x+OtCuK^q~$Rv}DF@5xBwxrRavrKiwu!SKfcq`{t^*G(}r3US&d~
z;m5xY<|f!JUry@|7eLx;w}GlJOptyxs~4MPjNjDkriqBveHD6fki3~0`KA54{;?Xv
zIwtJ*_$@wY%}edxKhBKHQadlK2{gifPfp73P7=nXIREC9vVeufnBMfw5EO*OPZ*H!
zWwNRCe9l^g3{I}Oxy2CuHw5+_b>>CQn(e19J!3_ewAM=OD+7?ee&g60xgLcdVn;W9
zX9G!>T=dM?0IHL$EW%%S@SlNym4FHd{1?ubT9na{{_YYvZ9flg{M%V45YLH(vMA~Q
zjA_UoH4=Hj#{=~vCD%kbxKLE%yLs&^eN^!HNEiI(M%b2|J2BbZ*dlu8O4Js8Y*uXE
z{%H*lJXW}Ksk_&s`CnJ@OeYon!|s&~10L*c%(FESB0)ZHN;M^ziYuy569TUBKp@ZQ
z@A36~pt9P<C-G2`rW!8BCbJ%chwj>J6y-;&uKjPyV+zdGe4~~>t;dDXjgOvF1h8dx
zU1)<N1${v|cX{ve;`ARO^EtOwZ<^g+^pc4J4%g$}8TKR)vahWS?g_z1Y4-`Q61`PD
ze3V$<OTznfBksa~!Z>!6JKHiy5B#r{Z*|7;VdCsI-&7w_kgJWp_v-24A-QIT*ODJH
za$j!zoe;x4<Nc+*OS-t^I->QSZ`E(tTGjPjlt8eJj>kfiE-Yt0xdqG$K+<IM2kwnh
zaD7V8oO+@QH*cBsM<)dFJg;`clAsK@*PmA{OxK0;oxUqpOG0S>%E>f*Mi$~O>b*vZ
zx~RHl@N=WQ2u2z|+44urL8GlrG$%<HOaqbnrOu-GqLa38Iz=A*d)gb7Z|P!LbV9x2
zi5P<JeM+~?Q$V`gp0n#Jb)m$eU7;%~fx!pwZnD=aBEUc3%i}R!g!MdSFTN@X2b*Q<
z_CHGSGPbxDp{0joi47^i>e8@%f6_;ctb%IO4$r|DJ^1}`e<Ir~1Ci6g0lo)R!Q`B;
zVLhRT_}dXnqi<zlTi{rooU8`<b1C1uR`W>xPr-}uJUP_Hc2&5QtD{1yudSGE)%zyf
z&-0|o!(n(nq53l!*Y^g0I`y22V$IyQ{xJ&Jwsoh+<1P(!2VAf9iCE>0`<s4`1}j1-
z&*lO?Xo5txJ|c90h6CDO9geO_$ll^HypXJg0@K{ZEsh2lZ`W`gwNb_`6)&|lYT9sr
zFj_Wszz{b+ep3%sQUP^vcfi#IZJ1?kpKm>B1fS8r3VUW$Ffn;(ZRQhgXz>4xExc<C
zW5e=IxldHlt|@bzmZXhNk#pQittM#O*Fy1hP=jb9)7Bt)ZCpGkQrpC8hL!n6jmK?j
zIGCg5*YBf+-lqH7*L2NM727+)YNC#Kw&N8hUYaOra_Sx0PKQK|ELZAkzVi4jA3Y_i
z0V98})EgQ=R``dBgNf=ef9_|xE<qjFca^jn-35~Fk5!k1s$);Ztdz%lRTLZheI+<7
z5GHCcuuN0O_qTB$!a9_(SJU)Lvy%l}HJ&QU)TtqMNO8EmSrKOcW)lXlS%Agtw!58?
z8V=J}-18XnX!_X_wvS<fOx>vBu_#q6A5)0TeIg4s2`-+aO&0j~T&?(co(k6OJ<Q|n
zDg~Y_vDZco7Vw`L>=Q3jhH=k@v;VE;NbsQWF_#JpaLr5y$2?U+|JgHl-%1GM%68pd
z>}eLzdp}lvK0^^?87Ei08Ga0v|Cmp6v%tRhmU6>k3J8>VLH(gd!lCX!`xto((C0-B
z1s&y4w{_ct#Rx9UYFNLZb^zlnQ>rW4a-eNC=qo$Kj_ofZS$@O=wo-wOOsn4EqcBFx
zWnGKkC&|wuXn-~2G$n0T3J=WV{pnknAR&<~7g|Zj*pY~JMLiNY_~TIfqdm*?!fE%R
zIZirGS%&bl4vT?%pbDev|L7L3j3;G|<}f>;cztobDB|Czlztgspj(~#8gS~i8B~%s
ze;U~>jC66!lj>3Pbh(^oYf?u|;r550Os*EhdOPjVws&*%1|g5(zec7AkXoqP<R}0S
zg<ylCyK{8GBO`*|39EfIW>})e!H-#^XH}n8=IFl13S0K{7^7e``HtFm5_WETzCHcj
zJbmCcr?<S3G1#Mf$K#&zLL*zjwr+5NuEf=Bw3uduy%xE0&iy<%SdcSk>F}36P~1as
z%o~FLyIEY<E^ZjKb*+85^p9SjOb^+=fAw6Uw|Q_a7djTTr4oCV=uQ$od@Sz_5Fe1}
zYctA;DPgT8_n8&C+pdi%EK~#7s@A!DW8*{`SJKs!;!H3q9Om=5PlIw<#KAj`9B6jc
z;^^JZjPsACcvPfl_!FS_xUq>HBQ|xD;~6YyOKqClm9CG+X7O&{PO-znd5>bl!df)x
zG)FIq=tEY0Auh_E9sE%o{+j~Wu%33iQtc)cce{B0Hf?3c=i1x9ZY{9m;^gt=NkuCD
zx#$jQ1+(Lc^y#M&H#w2?IHKLRh=S8Qc@nq3WCv&QyWm+TE)?t?5_-9j0w<AFPmnp_
zma+GzD~)HB-`Z<=I`!~;)JfgFiUSW$Ognn&^1{B{D?T+$4?92A%^f<%iPMgCf`Pdt
zm@L-6O%T_^Etk?nNBec?*x$rFS;GgXk&^uuuXXX=?Z*7^?Ogcyc2w@uGCzdAg?R7;
z>B5AR?SAkmH)eVDG>hy6q3kKCuvbwRvr!S$rI$SLKGmDF^|26Md-*tKeb>R^GC{c=
zn!FGd+&8&}EQ0GY!>LE_=)lq2jp>^^30{V7*Z+I7nga@R9H#<w;D0mbVxuJ=#9y6V
z-xn$lamh}-6Bat)vly1xYs?S-_giP2?IhtOF7a-wj1Io~tRZi+5x~(?tvTH$(ippN
zI&^_u2Lq9Z4kq{s!lXJ{J5^a0Lw7V-4E|{2+l43Q{kcNu5eyPEqst*<;1%uPqBaU$
zeHVq7gfaLrczfj`c|_C&{$0nb1Mjq!j+d)G{+j>W*ooT;NS&BzZ`Ia;c4E&X+Kd?N
zr0p&{3@GBk6TgNecOB&4tGu3eRRSd<pIsvjlo7k>s1oNx9f-<rxpT%r3TK_^;lZgY
z82)I<r^2d>T)N3iUKJT!__mVzU{)2QX5D2CVY+CYHvYBef-DlbE%Orhs^e#2e`!0b
z9_kinyTdQYVPwp;aaTDR+~yU`KUY2O^2ScW;<7wA9gS*7cr@{AZI;81U<#}+ek<R%
z%HP@9`}cj_rUiw_-P1!msIWOZGt~J^5z6~x{__pihEIIXk17X!G$MFe{+$vwUmv+X
zNYlY!NXpP+01YobSl()GQO2QiX;S%h9k7;<S*71Kz)Hr?vCcLX&|LxtYPxlBXVgYk
zamo;vjq0XT>r~M(A;5ifNe5To2zKRfGlrv0^Yg}hHMp<Yyz$*H9mLi3Dm*MR!JS^k
z#~Oj^_#XfO|Nj)2cR1GH8^@8Ey=UUF_hURZpZ6naD5Dff34KK+t0bjDN@P?r8cIs3
zM7xmBN2DQTWXql*q9hqVzkkoUulu^MbFS;W-mgQb?iXQwNyqfa{YrUND=3z8wQdyB
z!eL#vP5}ox+V@sVbR}A2VE^DW^Q;z}Y)xwV_UIu)E-adJfPjnvUt9NAEp*=Uo)>M_
z0nOPbcg+PLr-~DX<65}B=7+Y~v=(xrU(50+FfmS?Kl!>r3yhD_yX<Q;peEI=W0k=~
zy<Q7<<ryu+rvBx4b65?jc`07?f0!tGfA{)6PA%-oUzM|(MFkHoUC|n|w812A*|MuH
znlSBLSEhEH22${X{cm3zWHBa6`oc7zD^a(pm0bZG`gYo>VKx|_XtY)dRR{O$f>={~
zS<vn5tzrXg@OJ-he{Cl<c>Vo6%JEGCJChEYZ*^GeUli`RQCt;e8{d5ytQWz%O`khu
z<!oTX{9ZHtK^ac;Y!Uqk0k{d)Z&qt%B79F}fa@V8^uK**lWfI}r`D|Ww+T#iOkIf+
zm8Ze!m5ZL`BpW#Lr4o6Kn9!|F85H`cfQNcaQ3?5ZA}Et(@MQx~ckb`Chja3nj%yd2
z;hH8U-%8feLV=#%BaK|g<)B;rCOqWG1o0+=`AA;?h`;}rJwsjwwu_~*P4Pp-wtm-_
zRZavBJ{=qr@0G;Kzy0M0j`k283OjedjkU&qE^p5ld=|&tu-OaC#&)7=t1|Jo#0m#w
znU}13Me!-Td~}?znOMEM`%&^AOFWd>Uv)%L1Wx5P9G>irMEf4|>l=(M@zgGU8RM)F
zG|Sr`YMV9^UtMN+?jEs#Zi@V@h@k+=i`6S18aERwo4ZST%FJ=GNU2TeCNFI6X|3_P
z(MCik?&y>dGza?~+wAh~JTTv%Lw6VLB6RYd-`jebVgLKPnS35xDBQ!xB;NKA@&icq
zcxeiCyRuiOvpCRr$9S7kbw9B&;g#5GF;k2P9pC&^o*hxLDHm2t4HKW62kvzpG{J{<
z`*ljqY*3!bxyGM4O1$1|ku20|42gKtxwuMJOs!HQm6axl#`xf==c|li852iu>Sw_y
z7TO5@Nuraxc<akY3~Y3elCU>mf&NYFg8Mwbh#MDeo#vDnsP3>48FyMFq7QYmBuGsY
zF*mm_J8;<u-!smzr^hc46$PP|(iSsB998Q*CuRiIr?+La_!fwt*`X&RLuU#7<cyt{
zFB)RU%kBl9+Id1Dd+om5iaEl|_ND+KVTjxBjtXvWm?vgREc0{>7KwOO-=Y4i28gKq
z&FB?hAR5{&Xo_7d;B-mkPF6EORArp4Q_2F-y7Ar4PiAajcWX;0p6estZ{m2b%_8yL
zpRrJIcNs3maXYiE(}%cO)xbIl7G(bMlD?+LftzAaw1+zB2s~vqcOsVsJ3bPAS8F*T
zxtL_ibCixZ4wqAnHnAco(rfG3d2ZCt_+5{cp~L*P*l43P8|bWxWgG{WBTXf$hCfmd
zIxm{jX$x#vAErKZ{wN>5{--e*{aF`_4yX66U}4AZ-}3wi9|+*B_VdV54PE5)bsQI0
z<N(La>NKxdA;j$~85>U4LHJe|gX`X$a7oJ*++8h<CWXKXOI989Y-(h^SjmOXydJe<
zbWv>SP<H=(TpQ7s_VzA!<N*(3^NHy~F|;-;SU%^`hE+gc%g%-6*tO~Th^DgyVr82n
zm^oTV=!;pe(8PzwPG@h2h)O}-bi?P_4O)0zb~skFT>$ot!+T_ArIB{x%B?5dTDZ`y
z=PMc~gb7pjU5;FGFgm5sp4hC36YH%0859d+=Y7r#99HsBv+McGK`yPoSyA(gTNKCU
zehKY!P=HSJ``z=Uns|9}mqS;G7`$0(JBBYR!Y=3P&+;}+sE4wM`p=5v@Q>5CG{$M@
z@!4IlQd$cwPbJT`-H^mbS;3?Ap2}!;-@ecJs1{V@hQ)37NTXeTy<&f#3g+HEuM*|b
z20Kelhogfm8gjb1PaIRjy`CA33uW3!X*|DLb?XWQc`Sc@Pe}tlZ24z57wX_xNbw=_
z<10~o&s#*cQ4=zEBdo+*biwl~Hz2-80lU}htQk(!21Uz}c&|W*?R<2`axofe&Whi3
zS*44tvPWg-|Ip$8c3V=qvl3pOJ;F#F)q{-DB^mmZK2+8|O4^j64BwaIY*nRn)N`H*
zGZQyNQncewpQX8dJQR%74(g-(Y|t;`okrN6AsNt3U*bVgPmH^O0p3SP1X)!x@FR8|
zNgY;)kL|k)#itBV^4@!SjHd}?YTHkLd!zv^YiZMf&jygW@`b)AXa>c`(f!g*now1e
zDQ4?6z&lx6FZCvKL`U^xUG309Yg_ok4aEkyovo)haL*DF{X>t;NNrRXUpKSdWB}{A
zqb;9~Tf@Tcv&dAS4(2_7?kl~mkIS|@dAHGky__DYnL|2g(>tu=_kxaJ*K1#Vng*)#
zjyyU@(*>LAKlW5<JrrmfyM;bu;z~%{xlSovOx$JT&)lhvb(CanqpJ<hEW2^1{DTfA
zVj6BrxN2a4f4Kfvvkj8pXs`Un&_S=?)B58Is_>OO-}{)c3Lif@@|Nt<#<>WUi|<=#
zP%Cn|Bp$E|Tk^Z}qnxyGbAO%VTINb@wb|HYaB>y0r2`9m_%#vyeoKP9yflh8-)`y;
zUWF|0^Qqj~>S*#E*n&_|l#f+zaJ5^7$waQEui|Q`@H^R8Qp5*dLAmcCY)kcnJ*q^Q
z3dW9yL~dzWhWEd(eD}I<gDVx^y{$eiaZs?-Cq83_c=B~RSkBG{b}Q~we^sDCEb5Qm
zDxD!>v^H<KY!ef_5Bf)Hjw)d8%yH{Uev0tC{v}bvn+X{%^8~ARD{#Q)K*)*sCQ`9E
zncww0;OqB-kys>yNxi|{MlT1+*dG@I{{;hAPQ0F(X_iE)v{nA1!30^v|G4ndZvy<Y
zWzHwn#Bp<Uq4Ji_6#0mZ;p^gE;^Tk=3vZqXBy)RCy7B)e_Y>~loYbu`#OZQ|+9`xO
z+FGAHzG*V#dVlC^dn*K0WbJsJ!UwMl(N}VJPLqk>Gh$=HED?767ftK~H>{GoZq?{c
zlL|wJ$%l6>@Um~>y_Poz)YA&@Mr8jcHFh`r67MmGQe;<H%vLt6jeOO$|LZTZ;Q7aQ
zK{RvNe)o!gN-PqlbCK-1ol|6My&m@-e>1esbjWfB&Jx_ac;=KFC&{~UYo)F{H-+!&
zTk{)rrU|cFiE|Gsf06+lriq0-rnvlfjnvQmlSIk7wXefVCdf@ZIigP9CP+9W!t`bS
zAb46`UzeX4Cvm|gK!Y+yj31u193CQS9YegD^2f-Vr{lDK(Tw5gm?!P^UoUamWV|Jc
zca-FcC$j?M8R(I;xPEf*8{tteddD>DJNZ3UWRv%_5grS-g?Gs{66tK_HBA3u@?=)|
zhD={0Tz<xpdM^GmA#}9)sNI1fGS+=J23rkL-d<5Ye(Vi#zT-+*RsJBkS3#>-X|o|*
zTs<R7?F$HHgY>Nz)dop}ickAAzZl?T^VJtg&*I4=qlUR-tpnunltW~zg8}*$R>gSi
zdP*wM3Js<!2S^4vz$a0s54I|1_LHG9QZj$c_TBdZGUb5#t1>rzIA@t24xE2a?yD;^
z&R#u88hia+SJ6X<bYSkWnhRe@|L2ycd71{vydAlFIfLjJ-Mf2Jb6*`9(0<UWH*1J=
z6WtLJ!a_%qcjCx!X9FqivYr`zZJ4ZJKBym3)5H9OtaSSOW^&x@ReMqWck=eoZKo+0
zUA*>p<<Yv=M%F)icK3(PD4BXq+q~zD4m5Wc1syrxLE7IOD3cr;BjYoax1~|qIC4wU
zEv}-A%v1;xum3tuF2nQlQwv&%Kbhh9Y-0~8w4;;pY+-`r**PTBZKH*<$cox+!@VRG
zpSdHDF-h`zYkXdJP805-hvy@%_LG^c<C%X`rpQD0q|VE=X<)pi@0{ZPLDGGbdZC=y
zZ?Zg?>)QrB4LsMGstDLIOd5`dY!ZAkO-5D>`_;#(qg9{3?cSjgGUY|zy~wN?(m%fO
z-@`#Q1Qruq-bG_1qvzt=^ZB#nKJ71o{q|~jzgnUAxzq&NaXO-JZfcG^GwAi>)H7A2
z<)++@4f;uT$A`RTJ-kS^=k|r%R#wGZPOpHO!AVk`t>q&j&q@uhI)7ttrV2(6UQjHE
z{zY<xl?t4=%|<o&y_@F{Q-P)ClzFD@H2Is|ZnWKno$?Si%zKrp45=&Hos0T2<dfX4
zU2b$vD)af(>^50ttO@Gcp5i!57T#2MbG78AWCluKx8y0Ils&rA_vRe=xO>v~LF963
zL;STcYeET@hi$G%(HF^hf#&m9{_;`$z5WlLx6@ENwkgSTk%f9A{wwI)GeK%g@av0G
zF*HaP@x-5uXQM`@Qo0;HgsBGyLl*WK((ph&^9jEdJ2fBgD8OVFrH)n9oBaBr2pb=d
zZ&Nay6nm)L1-nKuYVQF1LyH$n{2#r^8KlllrIoB55^9v7WaoTtC?+Z5K)lbOz~1H5
z6QRGq4sc0RG*^Q4`yoYKzaL|s*T+X~5LM|kJs?Z{TM)hF7_5k+{L>-ZuL)9?S8bN-
z3&>OJ`K|9|#3({zF(A2kgD{n@u*kmukOEa}k^1dHp(1uyRDWZPi%`{D%39Nx(Wtf5
z6KkD$MR?zJ7p;3KMj7U7?SA@LiPF(g+MjTM2DZ%|X_^lts8V_UDf1W=%CM9Bnmn%(
zM(Xy)U9FO$PK8daCl9JoJI*F$8?-8cbGv4Sw6rW0YifQYEmnilF}QS-w@(?<1Et<0
zmsU`mI^vOgA8S!^G&AiceN|Y#%==-Ws6gF%{HFQEZyid!=FZ8J)oS?XA`nrYq)4^g
z`YLo?iB64wsZ88nrh$=W>0qXa5@j^NSMg+{J|%N<eO0=oHtNP?9<0n$rcQMAOz#Lb
zpcru)efyU3jNYEe8ZSpxO6`2B+3Qn=RK*qzp+B7ZsN3i=>awUtZ80zUN*y(#R34h@
z*tZ*C|E`q%n;vOUx`Ofv9%~s?`g^xK#Un;gKJ#<`mF-%T2FGBsbQ^=hotby{=_VLk
z;r?gGq&D?SRW3wE*_hguGvzg#ZHB&kuay7n(WN{yEH-6|8B?87^1*@nmT+lvl8esQ
zqjn_}I#%6aP$4$gvR+hK<Bu@S``b1;b^Yk=(_>{u6xZRJjh7w(oxa->#Glit6DMm8
zrNa%W_Kp=CrJYPXr-jzp^wX)2)jn5!tMsWCEKbW6CT-yHF+^pdhfamw$kiN3*Q0pF
zJGT95T7{X$))QL!bjmOFhqAV!7Il{Y)4=99TWrh_by#Ohr%ZzDSJ(KdQbCNUl(h@C
zI3aCs*tb=WDu1&kPy3D{6*(4@Zf&+21uO~t@-;eC-OjRRQbC5&JTkGq%yKmZ2QG15
zV$-HhXZ+Xank7sbsdNTq39g1yD^F|5f(Es>XKeU27dw@_K>JxxWQ*C50laEZqXrfd
ziwm+w$U}<WX=!V0(f2c)RXRh3Dv4p`lr-xi+&*#j=a8##D#Bgmn~M^)=2yj-MB`sV
z^NHLx39VId$Y!IrNGVds&j)YxX<ddn$1leUQf%;inXu-U_7&8}n18}Ol01-`kl;`M
z&BP9=krQu=q$y#+yr_<TJ_P*m%{{n-iGiw#@N13Y)GdR=`ts9)$Y+f{efJ~K?Zp!c
z6A>yX-@@MGst|fl9WYC=#!@~Gw6LZ4sj{_&C7IH~FnK?@HZ_!hTX-6+Er*NRF}}ie
zVUsWlBg;&?!>u9yY<;Ms1RHhA^})*X9>NIpJR*MaoE19kn+4}+vt&=ka9XLIFt%Cd
z_k7K_1S4EoUQFgEd0nejjFK0|HA8cgTWuC-dYaLmJl9RG`1#ybXj};K=S;p%iCN&F
zYUcI+TgBwu4XNo4QV1$xhW=%4<_L0?Z}VPRPYCmS{ftN#g7nN`VOp*k?#(+I?Xc`8
zhKa19!U!ScJ?#xzJ7<c+JC?=&S29lMcmyxV1_(i+XypEBcT*Icm^cu3^%wCz=h(P^
zun<I!iF9nFOwhw{3M?6&Atw07VlSQ*!iN7+7}`1}Xh@@^mAmH%_ZveE%U=j#<v>Nm
z#~a2d5{XFKvzi5=JVJ$CvqEscBos3&V~kzFMr8RMD|*sOGJCcNBh%Wo-SY|qm%h1o
zj9puXJ2_%OkKYR;LvX51lEy%3OYX1qC666k&zs-8Sp=cuW-0;&Mld>FoHqP|6S;Sf
zOV#}m0lQInzLSj+a+;!>6D+wAUi~yy`k5$RWmlRnv>9SwrrC{WZ+K8q`(8r#oEVB%
zcx<&hW(XKW6__~kqT8lzds?J8PSAYs`YRdYQ5JXOnE^gnu8oTBIx7L=!NEsGwFWrA
za=YQ<IRU&_Ja+H;BT4i$ls09ZF~HshIlCV;Aw-{>+UomT3N!O8g~_W8P*YN~aBsOV
ze)uXjz1|{&iPEkUa(o6jQ9ZJ6?V>PTzK8FTsh7pd$)x&`Hht{fny}1;O%xRj=Ci7R
z6>v0rA@cf}K4=_oLe0g+U^S|{V_0P+;-2Mw_rI(U>r#mgwr1i8$q<jY7O8-(wb$GS
z<Mpv&?(M;pKnZA0pHE8+Q^ejfcX_)weJC>C>+rpjgm`94k7gtdWNO#S#~1Y>v)s<f
zPeK|T0erkCQ<R{-t~4s>p+0Wkc1Y!olficSjHPOUGCnEaFKTPi$AI5>KC6Hn{A$ee
zw3}2QnD$3;hok}2-R~O>-dTY?ySvgBIMnd=^ez)0KLcD|@$+b%%Svb-4%)WPR2`O6
zP5qmfe6FURW$5Zz1r+XV*6j1wz_q&t+!5;y@p0tc?7kpHTsh@PmR!=r_Poj)W8VyM
zDENow+8s1J9825u>6sSfPGlSjJ8OiH7mp5UIw;|KP-eAsxi;9$T;u&WGH}Qs(kl+i
z;JIe9=JPWhD2!^;qcx0?Jilr4Mtv3hTgSV~D^?etYu_GvC1--R0%NgOIaM^RT;<ZO
zu7_jaUJc8unBrf*{YSn<RTNiyHf~SXL*i_1*9*c7{o5nYZLVMP+4d|JpZ9vuUTdwm
z&(9p*S)L|Usp>GkweRVJr+P5_p&hxHX@Mus`Sg9(8VIe~5K+2S5Ba-AoDDx);&jGY
zXR9g=?E1S~<<fm!gtRJ8P0U*%wKU27y0IoQu$t50i4GbX=dayRB(PKN;I6aBG+}=^
zKy^Au8!bXn%^#$I^3~Bl>M}Lq+#@RgVnh=>ZZ8*!i@>&o;A??P`LTuK(~Z*6fXUOO
zcMEfXactSoE1NY@9$>VebCnw2#3hFu-OPlg2P5y-_|kn?Ur&E;u7X?PzFrHdOyqcI
ziXZaPK)AZ=YDr}!Xv)-yzoM8}xoE%M<B>W(9_jL0CZGto4@|#pWWvq!vG&|IH5_%_
zZd1=Ek3hly#6_E#_|JiLdH4@i*iR-;?KF@<N<{Wf%St9BI_~mD45^@(-Q4QTbqNTb
zee+~{4ij~)bos$rWr%OBQmgh7Ma*Q$P(v^istbvt8HG!8e39?<j}pS^{N^rABPQ4-
zzpq#kPs8l1oWay(d~oyiTT?v>{4G>@ndGC0o;|XsvnseyWGA+nJqtM2>ns+)R6sdx
z+IgEbJIsD_NHwnmniAwVWgX?wmzQ9awVM@u;sU<~`Ur$*uO`$D<lwKWwD8<%foN0Y
z9pR-Dc$xE|<_BE{nTaL$XMfHTm0bg>3rDP>!MGbB;V6Z3o_1&C5@v{(^%0`Q<yMd<
z?mH_cOF;MG@69X!O%sMQ$_MTWSYgwZy+!9I#n6^D=BlVPO~|)I?EJFb5*ucRt_Vkn
zF5Q!8yzJm_g6uid@Z-J(BGY#*WU7duOKuOjR(G0k|C=m(ZqXba4z*?(zl1Qfn0|46
z?~-3~=CQN7nqxy?Uh~RNf?x@sT)FbsAEKbo_x_p3X2|q@Ash0OAF?VuCV!m&61*-~
z>sE=F;fyDDjp0^4e67(q_;+HK2$pR$TpwnNs%7O1W`C9gWz22=-pvv3qDBOBJ4~>x
z(ci_cmIn<tc~+RzED)S_Q*Jx#P2jLrew%VPHwq8_a*v8;!KRO|D?>|+krUN_f>Pqf
z*z%#cw~ts+<oi@^Oy3w~MmgPPX<X=%mAbP2HybKndAEPQ&%o0|siETxF8J?B5mMU7
zjt-AosfwBmtlV?r=vfvn{A}1?JM)SIwcVamKOY#O?;^*~#VJl`NjuH{vE)L`<y9}7
zjf@cHwD4b+02eCP>@F*5;)eH_euf)mh|&v^e>ohvQ1YNh)b`wR#HG}ls5l#<^^+B;
z^OOr7e_0QAc<{kSu12k6zyQ9vJhNU_+~_b2xTCy50MT4YLQkR$U|u!6-R3(tl2Y{_
zhv^Do3wJ9^hoS-4_K(JrMLY=P&gfBGCyX^wpT};!(}(`<*Nu_|%klDi{F8@=MPQ>7
z>$g2rAF)3ilIq{_V(apf#&^Y{2%|a^cdIPr+qg9hii00t+!HS=N{XZWQ-uMegAUq1
zYubpv0KOJ(wGK&;!17mTHf+tJ<IKy8U6+3gqG6SVlb?(fh;qmCdwl5#R`<T3)F6bD
z^Op}~y_Lpz_I*2=2_3Sd=0Wc&gdv)Dv@jt_7P~zIwLOICc-HGYed(hJq#i|f2ZpVH
z(v7fcu~9w5ZMjn$JSd8ToKpAx|L+(w5Pm4`lO9r5q0UTB95dbiZpQTr5MZe(im%i|
zjY+^%iN6Gbb(lTje-!ag;>=`6yB_$q4kX>Lkwor>ZCOXOlpuHJYT$YvI<9^THjj0d
zMoVWutMdV6tX}kg9L=D^;^g+P(W5f39kx|CR;sde?so_K4$^U6+1K@0wj4O0xjlO&
ztp<DN_~tDi=r~M%G5;7Sk1m1#0{V`rWBkauQ*Vv*ae4cciLjOezI7dN{nV=gb-K8?
z+$((?nusYk)lh`#t&A*@by{$_e<XONn*pAlE6Z%A)4=NdSdK4O8{>bX_Bn|f;uZfT
zwaz8)+@$3GuW(WaL)lN*$q_?zu->f6*sKhr)-UvI6+N^pd(Ld^HUiP;Id|Pp1wzl<
z_9)5Fk^gDi5yjsO)F03*sgF=aw0Xvj<g;`%RVeZbDx1LejbD^otQy{J-g`#6jgIM{
z%~j9$nPT#d_l4YOb+E)eYV73J$JxX29S`1_p`!BlmAw5L@EREviR0HtqN+s3h`t3b
znil6xS!zO`e@A<9A00<-@88vV(-Pznq2^^{OI+Z8>UKYYjwvJG`fI}0;P!lBn-!*o
z`lN?s3@aU@gB8ge4if0&bPdw`ss&Gd8~by~y0~!Ma+~`uKu)QJ$ADEEz57lKHdbh3
zDniBg=rnL7D*1E5tQH=u%}`4z&_w<t7lukW6M;Teml{g7@Sm5^Ro7kWF#IsMy{VfC
z@jusWPdO~rfAZLu_+173ZiD5f`Zm~m@V4pbeNAMa@R9!Ft%Nw{AsNg6Y``6n#UbCO
zfr21|ww>P;Fx7n6N8z{)B6qD{xY4Z+zBAj->}-)kRHIkCW26mM4;0)Ht5gFl*LR=7
z5=aH}uF;nIoX-pyt4LNw)%CAOC%DAW>@)T+&C~`b|4DAKvQxocg;>dKLI^uYXTw<j
zF|jNqy`q0Y2|0l#P8+*;5a#Kh^QM4_!;h})Eli_<Z-sobpb0yKc$2iH+?jCw+gaOg
zwdDOD9&Y2DT_7sHPFjpCahdC8QgwFIN=(&Os9#+3hk$bvReBlN)$qiZZ~Y3;T>oCo
z*853JvwYIXWdL*c+1Z6!W#D%^<Ym<IVS>5px<E=6fpPl_ALh<ULE*sFI~@i+gk;1b
z^`+Jt^E|gqPWejUkc6<{jX$l#&~NXaK~8Jzm2!_C@e{-2e&1PVxdvj`J^i#gVTEsN
zf7aPt62Zj8sY@b^I)b)MuQcSSC2|fa`CJ_l!qyk3lO3Mb625B)_RS?0NYad)iEb3Y
z?A65NlS=i3f3?wLNj3|38I3=zP~pS(pa`p8sYc=~XS-?d26K2t&M%89<AHL~>^)Dk
z6187`Y%98I2H7Ml&)nNf?|%&!$MP+mL|yp7uB4x)5DF7!R8?~zH2j)~QA!UHl=eDk
zjlC%x9162N8SJ1{@juv7(ocLaKE?Ak&jbQZF2BDvv0;`cXZ5j_!vu@dx3U2~6O>0?
zJy24}iY!N-&w~#~30_4$i*pB!F*tY4ucMd+^qY670sRRgME#FydKUv`yIu#ReP1Mk
zc5a$=UolAtlnv{SIx&#?Litwp;{_rz)vrEW`WKOqHW3>7)(F*VD$lz<%o8gl6mAQv
zO%s;s%j%`9jSx7-_k>S#p3sv#tTDc3hA``Q<o#4+2>$NSKTe<Lh#0Q^+55+5iRsVt
zZ6_@Z!E?uH{=nloA|X58A$4j0rJa+y9<`LWx6&^R*3A(H{-y(o7K_CH00030{|uLR
zIMsg?$L*0lv$?MAUao7;@7t=B6m2c3R7y%|N}7l$8l)0Qv_w=YzTZlsWMmWKC)ryz
zKmVTRJm)#j=bX=Zz28UHoMBWhV?(R(==y(*S%UlTITh|d9B7w&_06x^2t7$ltRwSh
ziH@SLvjGGbviI}+<MA=VEjO8~E|=$sEmL7W1sU9k`lW%CDHawrMvfi7Fi$Ks@Y?dr
zf)|=+Go!Y~vS6|#){AR12fQCJWNMoDz$q*_>%wB8{qN-xTQN?IUF7NEN*2IwA^TRD
zhlWVs64uVq!ili|#!I`y7GbW`=KHOF15mlO0=nP1V7N}S$n};m6cheToOd*Ug7WF(
zzpA+L?d_Hsl~Pem8#yF;B{QKv!-@%;<$;50Zq1TA;&9PBVqPW0MBar&+V3TN;Jv6}
zHPa!1%pvj1k3txjP*K=XpT&=albwf-t&&1s?{U8`oD4jw(TRNOD2RjUX75F7q~TE!
zad+)CeYEeAx&D265%%V8uh2as3-aY>t*1<V{GhZB|7{Y6)xY99%%yU;o!}$5qfrlI
zA^opgdPN~q@%Vm#nF3Dz_d8}of*yXh(9~OQisRV%xoN|dN_g#lCj7I%9&}0@zf_e<
z;8dr4kk?fe7|ghRH{YxWgJ#z&UFuTM9<7g96{Loc<dnV)FFh2w>5XT^N@IN)@0FRa
zH0&7DQn+(L5Blr}c`53$xOAwtrCyhg{D;?hTfXWcX+Ud-Ld9a#7h4XWOVYqsnQ_k!
zBYoJaAJS5NAdf<)+b<fJTKK45xaMY|J{)U?owr<5#J8F&{H-P0IMh9V*eQa6?@2<(
z`;wHAy#4;A1E+OiU3dRv+9f7_2rV~YRjJ}%s>#(}6MZ~S-8hu~-T=bfYF1w)X;@n2
z)u2AYK!NqE&KP+X9*-Q5yy>Ej@ANZnt<McW7t0(enqa|sI>={xBpsxi0eqP(R5%oB
zQnN;obm!KQuhYQ!lx=$1|5#YO0u}SR#+W-DclMQz7PQ^+%J)At!gx`odEXfmgdVJ1
z&vjB8awjcKZ5`R5;`NVhpD;z6W@F6DPdZT1kD6oWu#v5pv(D(2Ioc+~Y+UAaQBuu+
z(QJZ^mY~VKzuhfiDENMO3tb;7RhnZIw=wGL^K9Jc*2ug5B&%45fxRp#nVfPq)UF*m
z^?u$4yPHNswRxE+K5P~4>dA(zV6&=JgB{vsW7luUV50JAo$&a5BYcoNol@)$q;zfh
ztgC8((e(S)oJlM=ls!MXSIZtFRi;8B3vbXe=8&8D!vH6K{aJGMKYPgbcCnwD8$dc*
zJUeMjAAjqZ&r;4iKs-+DwpRlaNB1rA&8yPElgch_!FdPNF%`>?nKKd8n7^eWToVy-
zDUpBHIpQS#)XA-3z`sek^r?wDSXT<fA76IF*2>L3oD1{A?x~_P9m+5{(!8TG#u1ta
z1}p~Kbm6n=>#`I1i!nxj9Q@*pBb2k^K2Gn`fq(vb`3X5m2xWihdb7e2DJJ)S)>djE
zEI{1Ip0)_b+9jUJb2*~1vr|P!UlYr|v|oJX!-=oSv8!pR4$zMDKR9rbj%_yEMx(_>
ziMy{?W>wlaK!!@H*C?i;`S-Z@woffYq5t<C55L*txP`siVKp@@^VR&6BKd)oPi*jZ
z07yW$zgc6Cc+*l>ny@lttsD0%N41gWo6=L?)dLb$`H88s^7wVL&QQFnkE~>cnX$b9
zq$zmrQd*3{-op_-qr>EM(csVMassiD7d<-;NaMpyabV!{F;X`$^san|9mKvk?MfSx
zK-0xo|JUos$w}Uh$E&&QFq~|7r**v;n&%By@6wwfg?Ap;>Cm(V%eh?G-B<`am;)0X
zo)cuqj#)QFcN?&lteoBu$d8m|8sEDmCrFFLn7Ka}tYIh9Tcjb!gR_UNRhk3G$&@yg
zKf?J|2(b3~QzgTR7uCtFsSo~<{Fi3<ZRRaub^2p%R@n>@Ea(_;=*bxA9Pmp;YN;ir
zWF*d96P+LgxN@EaJsKsqhR@0y-n78sIe8EBh7m%>!_%)PafIwm%M@XCnM3-;m&`93
zgM_w8{hq@q!=%iIm*F2A%<-mFVCLq>E@GWap2YOKAyT}~f^i|q3_E^jn~iX_6HR|g
zzgcw+l2u8$qSm}-SQ)oGNTsKVm|Q3RN8Nak{BvL8>_b0Oco-c0z{gij+_>S-amQ?c
z{Oc>V{z8KZrj8R2<2=6+UZD=!NlW@kt=x24+6ohl+z&XrvG*+z86NK{6W2%fl>0mX
zp^U+yWw11*#)W9UwbDCNzmI%9_e4v|${6`Bx_K=_Ib@RBKE>;tePr(#x4-BcHue`r
zX=YCqkk(V0p26~cWXFcZ``?(eaf<C{8LCoBYUl4*Wq72I^feH<JoMfOGq*;VjxLqt
z;k7R%Pl)!DvlsPSlO2t4-_$DD7`5c7rULbVo_^9Pg5b?AWx+V1W)~-aBUxuhjjiMz
zB)e~Idn&e-g`(!%+k-Ef$$7U(iIcAf$wDg|Q|Bf_+`dt&JV0+Hb5vrSxvmV6O)gPJ
zZ}<!mmvM6|2HQyAwb5DJ=Z4A3QG@#RW(KIeu-Dz=b31v`yK~df-4T+EiEI@-z=WS7
zr}e9c9pvFp-{c>(jFQpcz5L%jW+1Fgtu*^~C&^dXv&(hGKa$7oYRHBzeTYryxL<zM
zP2Q&$awoNolMOc*r>j}|kh{P3+RDma^2M7LrTnx>vaDLR!ys4>>gUh>w9_6SQ;38t
zBu$f<%HLM+uF!>gNiIi2<si91=;`a_<+G&sso;R~db&s$dy|mF946OJ+qXF@b5M+2
z`z!I`I(Wc{IOLl$LI%B-c6b!PNu6D}TDZ7h8{Z?%N`G08kr%`HJ<NN!sLZKrPi;K4
z5qEmWRLl53GF6)=$@vNo6`{tcFf7r+^15ceN53Y>tH1Thqigu6T8+222c5J~s`c%D
zX8#nq`Ju_4;^hKVj;qhk{|Yp5b*du2n>|bZy71ca`O!s`{fTjtP*+Vz&>mPPzL+Q7
zUk@h?R|`|D=)U?>3z}y4`71+3#+(#`epjvbh#2L=ZBDxosDVwP`A0ajxG4P_E2=p4
zBq-}}NyNx$z<<(Pbjvy(s$pYov{Sw$6};!vt@1)T(l5xrI7j27!Ztl)^q!Qa-i}Xk
zKR!o?aYd!rP6YwV_2R~eO<uB;OlQgTx8-zf{2>!+;k1YnFwU+J43wiBeS3mkHRw<_
zzuX%9P?$3Qu)OiYdj(1~Uq~WVoQ~}i`<w@D#Hhl^aHg%fGF5r&>D^LEIvU*+irz1h
zpv1L3i;wiEQm?x+xK|p`;V$H-EgCOL$*nk38stZ#*iMO`UH8zj-X}6}c!f0eo1AR<
z$4#f~DkiUIeWHVTH$tRFQ<ggW<IuH?Tn*~Sog0e{muTQ+?{&Tr9XaZlMKzyqlos`R
zZ(XPBga&@9PbTSXP@o3CT+*x$(V-lf6@h`jHL>eU!H%z)O4NrN8#g;d=~4C^)m<HY
z+88S(lie&;sl@DZO|dKnrLi>cSIkizWcOa>xcX0xqNfO!t@>j?ef%zXp^>czZ)w4v
z;N9xfkfV>hVl<2Ly3DIjU%`O;)e>IczjR7x((lK&$41n4_c0Y(p#iun4^+*a(4?*g
z)kfQ8v#F1{hrLf!v(Q{JEqGW)n@al6x10BgG4*!Xqq94hjlQs+Fx%HU6rX$Am&za$
zDw?*{dE0gq^p`n(=3JvkIZL}NYf~|$l<$`X6&*2yE6uGipjDqT+D~20K4(fT`TTO7
zdyWM-T4yycu47U?A5YfW-!`RuZn1V}%UR=*SLUA|Nd}aota9hMHKvq}byTxJlr5C4
zCEi%QHKdx8T(6tFFrgZwMs#910H;l>9D|)%lw6Pd(A^YcYJ1ywx)0MHyuuAP8ZNUa
z{%ui2nH8HFF89n`Zts90>%xy45*G67+8voeEXwU*$-f+yBi8t*Xv~~tQ5#o(SB)QI
zP)W|$EtG~A;!l)zN|>-H4gIm9kOUoyCbjXi=vgOh7JR_C9$-lAzxm2rNm+wBW)`O1
zUF8IEsivET+6Gh%*LNw4O{!GrXhTTvs1tG`2KZlGXHZ8KR)yO4%2H*1)%Rcj=LDOL
zl@8k}J*r@vZx`<&QR;nvdCB%PC%C@y5E}fXLmezOOO~kOpln4VMmMf-g6wy0FTHdv
z%HXc)zvQp&q}}F%C!4DsvAe!Yz4zQgACg%sKYwl|*ekOCyXNMIW4~5v?eSEnYH}w0
z20bT;Qy~dExbqzlba%)p!&Z$dKR)hGH{yb^fydh|x(<l9Pl{IBr$p)ANu4IM7kmIS
zkJWs`9%9j#PbfvmQOZMeZkl6)I2TV#KF4hjrO_q%?%mRqQ$~#J6jK;edro;89tRw*
zC0&q<l%UEQy1wncC4$14vF_1U0!?S~mOl6+Of8xel5^cIisPK8OtahU5Px=YNVg3?
zRqC{Zo|+|!^`cAYIfJ(7{M)$MOM#0z)^g+e?N_4EPb$a?6SBqI?c-@n2d2n`^G*Xp
z!J=q?z%>@Yw!z5=k!xdd!(@I*s=$E0C?>@Jq~F+OjeqHZFS~6!NUAFH!EA{LgvGXN
z@F!WJDq5oHLUsjt*i~-dl|v#3yB%E6*I|j0$aMKy$y}nu$i+IBCW7def&R0mmU!EG
z^T^!CMj|Q6QBSZ-7~}nF%_5N&5ZYTUn;QO?5YV>dX)6(iN@<=FSGPHCuk+dCN*g3>
zE?dh8{}hJrr0?u+H*@sS<OKQUMv0|4bJEf?!niS$Keyza89L}p@2T8z!lwArje9Fa
zFrb$Cp+nycDa0$aLD^}7e=gP~wMYaZSu1KUKQzT%mB6CQwsS;7!SVwi4vJ#;T($@Y
z%@pIV8z0}l#{mIpmZF}$7*6b|d1;+uf@VeM6Aq$Wczb{^H$qJu12^)6*-R5OxE#5(
z{}?x_ous$?d?Stx-toOX?~Re#P=3p&kq0KHKD5pGNFZ)QT=SXL#yF%^H?QQtheqRD
z`L7Hl!CzQVEZoD!5i4}6W$;7cgy8%`F)6f}np%}aun~Rc-N;)lL9Ds*@869@(vUrL
z^UXY)jmOJ2{MY?#5%xc`yR=nJ2L9I`anAfULYlfl%|&Nn+|tUOXmgjvWdG}XI=75q
z_%!XO#;6FURb=-|Jy?v;^?A=Y*BHSjW1oZF2Qf_T>s;L=Bo9Nmk~w)fBcyMAbvCM8
z9K1TEE%aLonA^T&t#Sto>z|l>8U87OkV4n83_=OfhZn#8na2V<<M4P<ha~8ON-c_l
zDmWmsszBud3ng~Xb_R+_!`#8_<cDEZY}G9*;f-R!Y4fq)w##Jj#WJ@Eb7~ObO5FE6
zjD?*m1Ox5kWRWlHcdtuQ9lf8uS8ct{g81|qUcb4;(CWH&GRusP5O2l0;B*$QtrJQ<
za9SRbrg~B5_i8}lz~Y=cKNo!4;49U5F-6GQzKG6D)dYL*Hqo`BMriZ?@}~8j68sUq
zuCreY>azw$UfYcDdr8yn%peu4wDSy~x79(l<%aT;1xASNDEro_tA-OxFM2jd>q39a
z=VCVpHZ+$@ucfQf5c#xNaZ8IHmY+Equ&17lmj~9dZ!4+e-l}!oI$8{@Gz@;s7hw#I
zzqdcHR9oPod1A$<Ele~`ZQ0GW(FB4IyFb6v*1#VtSB2nH2Dnpm`r=KPLM6K9afYEL
zTKaa_r3D(o;9Xt_!^sRg?doLKnP_1>Bld6yjfE!y5iP78=I9K3euQbHjh6RKYbE?x
zun+QjS9ik#zn&ktL#OG$^n8Jc#BCOih3PhNHd<m);7Px<IUUT3q{q+_STMYqzLaKQ
zjpC^&xz^9R*wZ-N=o`2&@4RE;t3z$@sajIF!&eV&y><@|(HA)P;^<6Jvn>o)R|Jap
z>!BrEw!MFuA*wD#=oRV_sO_|}c3-9s>r0uA_ePi~+UGA6WCU<<aW#Yo>LdAw(yo@3
z3>aGe?U5n@=P1>jrT~4s+uNE^=B)?c8`^pLR`w_uMeUHCKH?txJ4o2;K;k71geKZU
z!zU<MvOy1KhLa^FlbQ?n+TwUuuRVUCs@!6U9*D-RTlOW=;XBc%YD#l}U(6S;fy=sx
z%1NzfI?>S4Q~D`j!T0qD`hJy5(n0vU8yx?Jlo9%KGy4tUfYE+3GVzW!1d2mFBje=J
zYtvaW!f?Q$)mO#kPiY}J{#ehi7#S?j&^LX{=KzyO3Prn@Xktv=b*N)d0y&0{t`C&i
zqr{tAbR(Yzt`&3alRhDWvYQP`$r1K2-x?IKmr{q6c+CZ`0e<-P-gEnCV-G8@+QieR
zXo%%H_~(ujHy*c5v~YF+rW^Lr-dn0cL(|DsqhXHdJJGFG5DuLB&%}&_R|VgepBIhI
zoFMom)d)d7K;de}*qxV(5LdT3rQ9__c*L?3+piHwU|1DBTlg<h>7<MQhCw2Ea_Q%*
zC3dh}KU}WhyBJlT5pg4rdWf<aM*EzA9b$_*^8<oq;1c6e`*Tkx(R{_A`r%Sr*!4<o
zQFteXgF#Eq{dv+sa2wVn2Zh@}@cH!D5M@co4n)uy%nqU`EyTdI%o<0!7Oinh6UVoI
z?puemJBVp|M}?)lHJ;D=chMI3WUV-s)Fs|YoO#NQDcWO&k}l(oMcakZ{l!%2*WzyC
z*0OJZ=iXVO;dSdt?KO*Fu(&BkC9Rk6FOc$Wm$XE}Ga0XdZ~;tNT#0W^9Uv&JpFacq
zEwJA3M_k$*AFN~4Bs0$r5w<_aYZA)Mp^LGmycfKPX)HWLcOM~4oC8;`G&2W3-{teU
zH+j&rXg#^xVT|}unJs$sff?>ycFZcx;Kn9TV<V~6<HVxPP93wNW>5&uj5|2V1xL5N
zW+zTe5{#73%?;;F@v`V{;5vUUFg;?^R==MnbVc0M<|a(w)#w);yTB2mhyFEMevbHV
zCKb8us0n0Jjq78oI5A)w78kdi15HtXO~yxz(ZA>+p90B=7`-mJ@HkH7z1JxDdfXVx
zM(UoeEa8OMP^81Y2`)Iq4N6tdv%zo=AI+HJgs$t+@~sDW@VhT|r*0%0$+R&SRTnOl
zx7ruh{NqKu*o~#tN^E2)zxJwn&4qfIb@Z@1{P@K3cOJ|%Liu^cAKM+dQAJp7-Q~H!
zpPApq@hgmwq(OK;?&n5A{!x`UOCh{FW3p_jiv?+!?*ae4<$>>}wI45Ai{RA`{p(Iw
zS>Vpl=enEBixX#T#tL_eA^C>+-Z!Q!NGQm)KYGT8LuSgy#Tv!I#Tt8W_tg;lYdznp
z*71XOzbTtgltf)TM}MY)A(&Km;=u(Dwg#{^2OpKftG@xuQ<Dww#b!FtDt-|Zs&DLU
z>y*aXd0t};4FkyS?|0b87RE_#?VDkzWDy@=`+HY56C>L8q4EnHR7m-c3fGrIt^G^C
z`n62BMF0JL=eHO()H?3(o0Z4Zk&19OKNE6hU(MLF;&2VF?7Tgq2o87cM|*!TAa=b-
zibq`%YcGp_V~eWbVA!VZ1?dcI;J4G2@RCCI{iB+p+G_Cro?F;)pMn17@qwhb(m0{*
z#yqo`hQ6YhFXb5wNL#*l>S4%230bX+9;%~#w_ZtS3j-I9S>2h*Ta3(X6@lVeI>Pb=
zcFnSxSkjwtHT{4*E<3bG=lE)3aq<2Zhv!UiCy6N@v{c0Kbj`d#rxrZM1&UqP7(ga#
zbD^t-GKzbf`*@G&VDC_`Qje}7wm$mol*&+rNbtMb&-{95wP$XZQe<IwlCJxuG&St6
z_E<deKp%W<^71G07x>$9c<K4CG}Qf^zy8sjiR`<YB?0G*@X+Rs)1e`C476Em1%Ecc
zOEV$z-|mHdbB_+qrE8#+Pvv{P5(`})IeWJF8Dnxqj`xtKCJd7OnZjRL;5+r^i(H%u
zHn|_K&5zN-*#PNHyEhrZW7EIboqtT>BdfQ(;)^!sZfa<Gml)w-GQF$a!yIek_vW<s
z>44%G?^`a%M*W;E@6KNqIJj1Mrh!`zmoIEqdSl9l){@ol!%tg5?Rky)z`PztGxYh{
zDr^j=r?cy|ZLs>7z$e}YeN5_za*r<5U-3mF=0}Y!#!Pi3<*qQWm;T8wo-o3#*2L}=
zK?L&N(eA$%V8Y_VW1e@%Snzz3wDajDAT3$#?9Ek7ER&2=I@fCe`O>l_XRYmlUlOxY
zo=m(yP#9OfP_N^>tX6KlJ(x$^%bsa6ab<%p_v2r>`2F~C=Ecnp$eN#%u*+gVf2FL)
z#VIX>Jz%o0<~hJxLbXMSi-8rrdw2!s>9DqXpl3Vh0N1+{v4isZ2!B6Y`Iv`>F`nyM
zMaqtF%`wXM<XGUKh3y}%rAm0;;s0WOAwK`&`PLJ8I%qon;dVfaEEw`@?#*#JV$ZHr
z?p2=JXu5Qg(Z0a1)u&a`Km2gO>FeIg<_kVsp~H-$Pgw|mtI7iJU2=faxA>N|8#R!2
z^6B5Lm$}hCz3!rrfdizq)6Mn1s{>;1gf3c65dp0J^Sa;d7ktm6drLusD#Lx#?zIEN
zhM7CG`(E~V+0Nx}5u^&cHnG7cKYkH=eRFVf2uNkfm=we+A?(Nxfm`n$68S@8{mc-+
zd~v9ULzz5e-`q}p<W@ln+Mcja5Csy1Jozt~Ea*d5=AXksEhI}g#LdQrz=e`viLGCy
z@!UIFpB>Upp4gQB#BIABZd;X3{tlO1xUalk;+y}H7I8r*ABNgu$9!4En;>!Q=?~HT
z^|F(^ddB}+e~t}6T>0_YP6R$O1w>s<C+R-2%llHdHL4SBK8*hs#KAj6XP8VU*_{~6
z6QpSk8U9b_M;rOT5a@C8PVXR%c*}F&`&c2alIE7H#{<Lkw$$3s?PRv`i9D$nmMC2{
z+WPV<C;Y_bq~asnNH=1{(Rtbe=cCtq_ivgfRP$%+eyRT^uSNQ12)S8c=Ai(CmOf2P
zc?E{p**22X;!$n1RCCy~Q<`-SPY|E~+D_b}*N{i{hM#ceHpeTEfx-CHF=EoCTQo|t
zf;72ZdfsBU87!N&;jY~XL0^^Wf5g0q9O3%B?9+EsoO|3jBWO58oE;&19Ch-@>0Kea
zGt5jeazXP5Z&N?fuATi=OW_fzk@)^n#Um3K>%Cgj-PuE!Fj9Di58op$u=bD4$(bNU
z=kIREfG*;&59bNRgtvr=<VF$6YsQGsJhjAd|6gL5&uls^v4BWk8J5?%$QVX9wyA9W
z`iF4ls49$jSwb{~MosPvXCtC5QE}>YJF(5JiaNdYC(%h9_1GiC25Xa4Qo`B)2(c(m
zi6+e&LSV&(TXolrpel9gz4o^@LbCsCe9TNeF*2@nDN)`C8}ye+=B;fbIIrbgUSHir
z_zR@PK6=E$va%&af_xjHClR?rujx0jQ&#a)wFwI@+=h0-(rv`lD}furjcr7IxZ<=$
zlp$U=A3MAXZG_`&ZB#*5J8{2(QYm|DfWdU>o0k*Xh_sQswIiZ`i5rej3|+gJ`1|o-
zT?+j_LMh!Q)o*ndks|m+>$)lv;T(1LUbX)b8@!fgIc4_{FD{B#o!iX7!H^dRG+(z9
zQcAX=73e3zmu5=w-qVLq)Q?mV>JQPw8aT8gc#vqVZjj||*8>;Ng?+VS9mJE4>9AYl
zL&Wor4Tb(JJ$ULCXtZwZBsy$<{{9g?LWDiOOPHV6Mbo_bYOS6w;>STEUvkA5p-t{N
z>`|`+SyjDkyNn(}!?xF-VvZBCb$gofOm%QZYOZm6S|72ac{1~=%_K4OqyJLSZEbW-
zWj*w27$8OiI&0&CrU`GgL*nssS}3~IzqdtWh;Za}&pJ9XOYC+D)z;px1-Zq`HdLM&
zCRRMUDxR>00~Z|=be)?Pc%c5wVQy-KF#lk#WM9S!`@(<5D(f_{ZcqK}tHd$ls+IK~
zw?o`G#<BNa?@tW`no?0O{l^Ku9<8|dR=i;Cu^FFPuK{mqwNtA8lSG6<#L5;nKbEi0
z&&X`0!){YR&cozs;?sqak)vA$!L`=vSm+Tt%<tPsdWp>uYCdJ(lSv`;E*`w3AVSBI
zuZ*FyTRA}gW*R-WO%x8AJlxC-b?~k!`Os3$iFo_+;ja(GF}Ig}=Y^*_K5XpcwK~d;
z2fe1nf6XLu@rp?N7jbpeRaz;y*zm&qpvS=KF)6eT&AqArNyDB}eL4As{&+WkP<zxO
zg9DSh${r-spfLE#R$xJI2}>7LJegb!U$eVUndfQv5dZ0N!CN5=hiq@RUaEkj9{C!a
zM``%ozR2HsjVR6~rswFFC}C{de2DUC8d#A+T3)xsQ6oE@L5ozyGk29y#RM9@Idms3
z*OA0vg`Yp$nFhCh>aAlP4L*UCqI`=Kb~vol_|~otJI$K+N#^SC;CZ|2Xub@(YRY0B
zKGJ~ozan8(QXN(yqgU#S7UQ0JY{}P9Ep(6V(vJ<K<9`4E0RR6Cmv=ap4HU-B$llp|
zy|3{Odp_s2Dj6w7Mrmk}$S7^2K~^+KDj_L_e5H~+hlUbKDqEp}tnBUU|8rgEI_p07
z&#5E#;z2f9kg&_#pm$yyj*F|+*6&b<9Jfoq+jq-D#mjXm?)Ru*-oG_3HAMsTzW*5O
zTTp}>w`9dW_UgjM2HBj$+*+{deeYJ4Ze_UbkbkJ0MuWWn$c~~9+Q9akP>%Le1<7BZ
z=_1v1=-Zr{pD;-U3G)oet9@#4q0DjUaX$l?pCo<0#_ECW%Ib8LI1O+;Wch8J+W>Yy
zYFPLQbcit+KWJsB1sk`#t*hiWgt50nD!b+w;QQmlW#eDkU^d9lHauhq+o~EB8iozv
zN5B^ur^{4`@ExhSe%%P}d5F~c$Qi>L|6eJ$jCJ9o-NSA3e8xcO(@j-5VhYL28vZ+8
z=s_tp+WEYuG2DoD__<-h94>9Txn4((21W9c%N;#Nuqx2qVdkP0+~Mi{zC)P~+&NCY
z>BdHoWd2M?QxYIKeVtim3LVC-#CHWL8bU*U$-d<cEGRs_fG0oGf#R~VG4BQw#BOqV
z=^wIzLq$$)ulnhbc)B6J@Fg9tj%xi84YdWMXUPP;jt<636N()+dZ4*^zRkwc4j4V5
zyE%^0VV@d0VU9LLSemS8ueSrrJS)z2lm?mo-*eTzslk6zG9$+7_K+J)ANZc458}P;
z&+qsu!mR$g(<@l^kP)S%_NZGI1Rrd^)Dt5KrJQS>N-6eGygU)J_1}D`W&=W@Lwq32
z8LQ&(%MP9>i<h*uYXeuLV#S`Dvji<ZYZEof4)8+#2gQ6%_`c(9`PyIQ#LkpEm;SQZ
z!L6+0yB2q<gZNL6SEDn3Nhp&t-G9&)Ql0(sywy};>Pw5q_xEfluK8t3qSXd;*RE?m
z^-T$!<ytAb>Q>;D=CPfhtZabQ*RZrDPY#}owhYKy^P}{pwLEjVENFTz^X5R#D$pKa
zMhNT@!i`t^nJ0u;P(5sQEV@S=!dycAy$KO4`v5DbrvUym^{r3YCjtwrEmMMjh~N?C
z!p80)0_M5v56p)0fnY@-ecD_US9PBFU_WRLVx0ke$8))$&`mM7%2O1XpH(kxn6-is
z+ifFN<Pxzu@Y<IyS5c%Hj&*uUSb;?5^ROeVNrLPcX`ay+#q!gSUhlTFgmYqMKX!%n
z6Gl~aKCjqCQA{#W_+W?yu#_*yFkC+qEza)WBN|1}UVmr&fnsx*c-k|Uy{&@G47u``
zep>`>&nrakoiT%+Lxy=Z`QOOTj7s1AF(Rm8vDPov(G1St82xJ3HbB1N_i$JnB!b%e
z@e#*uQ*fGbD);dpBWHgoh;{B2!4w<PbuEu6@CFoL3HvogTAcf+7JOI)eMas|w1k*I
zJwA1F<(wxEdSn(AW{TjG@{9M@bsK}=$@lxx>zBxl$-y%9O(LjCKR>j^(-^AD1x&wE
z*-^Lp=lU0FqS!hIM;g8uf%_F4*!+b9%TMUC=n0~z`qb}i(iS72q~GJW3*y4@C-+Z3
z<rBkW2f0k+dJQ3C&9nvAEH@5GXlOR)h#@0E)&F&vA#{XGvK>9igRkqKQFz?N@!RjG
zUEX|#P#bK$D9pJME7z{x`&v-~$E()ph21d#nTeHVuM_xC`YNGznNt!?qFz+kt}}q5
ztF&rU1p)lyK6i<oQwr&gV}YxtnBe}fpY`auApYJZb1O?>6^1SU7v@;N1mT+z+(v=I
z7$qcrZ*HSB1|L0^?zDpm2Mjn8pQVeS>&v0A!h9JdZ0k~T)R{1&zmjYGj3{y_b9K|C
z<nWjlCG+<P1IBl(j_i#VL-uGstHB(36i^(HXn4f{<;?m*o+NQxx+YO3<*bM-lSMAg
zJO)&MD>5oCkU)=9uWHxxDI<d`*7I{R15(3t1!-R;@ubDaofj6AQMU5cz0NZXh}=3@
zwO?u#Iv)1b{IZ~e&+V5iwx4IfhONuOwgJ+3&3WRkC!ZP$2u?lAxXu8|UfJu`pJeds
zXgvF{nmVo#5!(6%8PL}DBK@k19P%I9!5CPrfwVWX?~hJ0Ks(Y-jq*(%vpke)_`)@D
zl*r<mwq!!}b|PbStRi0B9+c&MTMO;7pB9&8Fd^PbbF5Qd87q470~K1dv3cq2f&`xd
zT$twfbY)Y)58e|w#XM9@>rfANNHYKq7O%<80TsOBEB!i3Uk6o^g><c%hESsH!^_d8
zipk#vQ&&3Z;=!@Bs-yu!xb!$RSg%eEN$$$AW(Pfd(GjQ!&y9c;wAszIQXRwK2BlbA
zA01p|ydUNogKSc+Fy8|Wyp}w;uDVAbdpc&AyK_uHE9QV&<RwkKG9NQ5u%Ct$r|Y|a
zKQaY}-K4u&h!(E>e$Ds&a~jHq6X)}r&A_*fIFn$Zjo$(qcMH|ha4Vle&KS1^{JAn>
z8}e5h56&xH-g$wBN}OYp9Ojm=p+H09TOtK_Xm8Dm=A+^1%7HZsK~`XM%u$zfB^AS$
zs<M9?>tk)ZT2E`bH53UJ=bqY5MbDtPyK7hJAxFga?ATHQI(JEQm8DU!DJJ|uXNeBJ
z*(7`GjTeApXz46}CKb2Mz-FcZ6~9gG5aX=}u=PD<BYlX9(cQhg4TjoSRjqeNRgVSR
zl$8?dHK~~7FGD$Ms)-LiY6VP0vS3f@!rQ0^6s(jwI=Wg@9Rre>Vphd0Sff*_)h<B6
z#yk<7WI<K*ZqQFIXkfvs8ZOEI)@Y-0h#OSSD&cdV=EE=BSTLLMrM}T$3s(=CjcnqO
zM;2;^b~LhJx5N#F`};IeLrBNb(oq_>dp%NaDPsXAyU4htmj-rND||`rmO$-=Rri+?
zSdikYDnDbXj&@6rrg@q~G2z4V<#!wZ>A98%MMzo=_u9BwTw5cAJ6FuxKM`R;&W(<w
zl2H}py&AiX`d}r>a|~5#y#~;yT<3W3UKtZ?Z+`syfg8t;*L2&40kGF9KKAlb!nk*<
zyPxNBpurQH;bD1zxSV}T9t;H>JFoX6SAh+AD8lK{=Ll%>Tx{=Fk;4$)mxR@p1=8b*
zk)qHiYxwE5`mqIF22bi|cOO4BOU`&MSX`E~2G^hyJA${ZLe;Ga>wFTY$==5IQ^o#P
z@afn>OZY=cWY6<_Rkv-5G!f|uPkm?!ksGJ{Jhdcng`;e}Q^zD35aKZ?!)6K7pZUUe
zREeQ)ME|Wrzb8q0TpXj%%>rVo(~Yf9iDL9mE~ZVu6xsKDNN(R9b7+m_U?}*BV9$dV
zX<@f%vgPmD@E>gEkW|!twdl1F%J-=(o=cb^{grCN&TTb=O_#102nq;d1$(SRkiZ<N
zxH)4*5SoJfkNp{Nfgd|AmNdD&n<p7z$EbOlrl9lnW|@F1AGR21#JZI)k~cC`pBbi_
zzy+45u%Z1*l-aO`zovDWe6Ux2MwQJ3vTSyHrUdh%`kI+t9AfO)>#^1>G|U)Eiq@#B
zzURS;Xum!2>o`#TnRlJ$A0u!JP1K@p;z4#5%_6g_oTzBrdU*97Bhd7q@1pYapv#+w
z`iJMau*y;?x9hhd6cj`Zj}5Fq(aXU-jIb5B{L6pi{C-0SFRA%^du#<h7H>EC#LkOb
z%^W04rwkx{t}V7)nFj+J%7eA<u0-SbOTQG(7=VY*)fbClJh=4R`RLX_e%$Bym9|~l
z00M)%kEZ?M!T5u<U;j7?;%6tv*8CDCY>F}y7(L62)(cYo=N*Mnk}7dV&4meNKZ8ZS
z|La4UbkF7VG7)sE+B_xomjN!{Zl)j8=ELJRV`>-MMDf=B>xK1K8DKO#n59MI$K%au
zX7Uo^*jJJ9FlP+|q~_&6UhopYjc3fKb9YK$2LFYJ>`QcD6HC9CUnq#TcLb?8y_dw~
zPt}(D%IR>c=F#FMHDP=w)w=$j(<*d6SG*zUBpodG7u0rb7r{=`?CR=%X&jTjBv<Z8
zhxac%44WN9vFc8I{Ht796!a*4C-u+2`m9NePGE`Qt_A9n-tm8bO7NjX;}Q+Ttq!?&
zZV<=a!TBk2;fgrk$oo2=i3SS725H5|Byg{MXN-n}GWPJDi*ZI8oY0UdXs?h&X5ZzT
z$9JfpIx~4v>Mae9-!3;(U$qJk{a#_)k*tb0di`S`4$(lYy!5Ghf;4ih^V)v1Rt?2n
zl`l|a>5z7bvD->U79(q4T)Qlxfj>O*Yo5E(L2x&&Jys=$b4pBso&ZfeMNd`<xJri|
zf+aP_Vik~ox%k1?S}jbBsBBZ2r9(*ZlZtg)l`!N$U}HU<f<DPAJ)c4t@OAtxQ>8!|
z?+0v<=gOdB_S$IH77ivDc>fo%zfc9+0-HMy&FLU3PwwK@VkT4-U6h9>s@TtWO|EXe
z9_|#4D`g%r0K2fJ9*cKs80X>`x-Ly0Lt5{pUGp=9oXqho_bzo5$>!1=eMG~zYr{RR
z`y0V+nv!(Q*uQ#=e7ZkurenKMON!MwW9YU1&JyR)LcQ$YL&Q@$x(q(J?eNkB#P29s
zaPnxQe#(xp`WZT^eq|REmokHG0aBAy^V%4&nR{D}7z3x9@2CVEHHU45oa?ySC|I<v
z<Q$8gf$rybc^~PwfY{MG9*1jGY}xGd^fJ=XG)Iba(#r}e*YkDCnEm^^?m;6xE_B=@
zaC>(5Yik(l=cdIy(7|>d{*fV18eZFT>GWn{fWuprOe4m1kgEOrsQgnsH1PLJaxDUA
zzv!sO#iRRgUO}A?U+Z9m`eWN)<}BF9`o;Y7QwMjkR4XGdP_SMyL|XnK3tDFv;~u2w
z;HDFl*nFxM3flV5%nRDU@zME_huk`7u_I>h;R1DJcd-m<aJ7M&v-yvi>!>*S!I&dM
zQ5E$&%?~jCag*%H0cT!+3QB%UOwwa1p@UzS#$xopc>eF?rY+idXQm`d>y#`~ygWn{
zBW%F6qNzZIriJ{?Y&Lhrq;Sqq>8Ilc8`z-{V$e6FfdapzIIjtdp;4Yy`V)B@IC(&!
zh;dyV=i}eL*~uk{JfY?<-!-!!!_{}n*zVuHQcE4QzO6uQ2Yri{vn(jGY&?IpUj?-n
z%}@Mzz>fMgdbxADEXdZ{oyoYUj0*<`_2S>pkr|<B!2@*wQfn<odJ+_IQJ}T3dtjU_
ztbAKHz87H9<ap{6etDePxADko#UV1T-_~`U13*B2o3H4788n*AW#o$gB<0l>e4m*T
zP!~{^7I<(K`W@GNomAXKeiU3apS0f^-X1@AqI|0)I&=?9rYbj+lYyJxPUTp^n?1+o
zvLnQCOOwAgZ__8T^ITsPZ>J?hec^R0C=*4sW0w=#>5XLmjCSZDIZH59$h><<MFh7+
zzuob^tdV^7o>!o7s|ARjlJ({c5JWD6^sYM-P2?|Wd7>lV9JpKCD-VC;LspsByNij<
zWQ=e|k=%qC93Fel6?u~v<(2i06f-)=<9zcnI~~k`@7$~36}MNQgn)&!S<`oN8{<*(
z_3Ne((D40W)eslnqL*(E>+B_ylb07C%>MIlZ+--igmPk<e$~2Ajo;+3>)Q8WUM9f&
z@aRA_odXAVyG9w_7$C<!*?y@fjbWR7|Jfc@cC?<PrSK5Lq=V-N|163z)E+!xW@^ud
zOLYz#g4q9(L2oO!R;L@mF8f<@lUmDUbI65HP2*#vOmq294L&0n6kj87aMco7@hp7p
z?9>GLTJ02;L>Yq6O3kVl8y3mJh6!$(z%-e^F8s{;c>^e$@tKJDyg=?tiO#%hG)q!$
z3zbj((+%M-BNEf;3#4DXf2!}HdD7v{o6(E~Cd}swWN*8=K<Y5EI(r)zNlGBkI6amL
zJAIQp6TU2vdhZX#GBw#S-s;tIg&-3uw!~-)IWCgUVY>zFBiM1}FLe#bV!*jbc^Cc3
zMe@k$TL#ZsIIzYxw7goM0c>pS>$|=zkr_78d7C$KA?J?yr46s?u*$_#;>n+7(vQ4&
zSgwy7C0Z+cxc%rr`*>3K$Tc>ssNr~Jk;#K$4t5J8i!^Ytyw<|>VaLB!dj?g4RwAYP
z^oi?sG#Dz#<s(fwaKHMLN$@UyR8}g?4!fieWLV6C0+SQR!%D0dVg)hlr`*N<Aw77@
zeylfrEf=nLd2^$sK^R+GpRY@E(*vU_Bb(<@+z0{3?yGBxV#+;#9Tn6C>kv;h@75J~
za*JVH&q*;<GL+jIY_1FZ!8UA3n|Se5kiyMF6XJM&&4O@Dl@1sVG;-!ouSE5;<{7Mb
zNwlYmpH1DY19uXPStix|$Pjr}T1c$Ij6=ohqVrU6H?QBq`&1BzyNgL_Ss4toD&PLJ
zgbL9SUH!rx!sxdmbz`&aKR?*DoSb-s3bukG5s#$*aqq)(JuB@L(5jZx>5m5$jI8|F
zb9}{cFIW+A=}MUO>5tuI7b-k+kFVWVDUMZFDV^T@DmbDtf9I(m6$CnbV=^oy@xbLx
zb2{5qac6M*p1D*i!0GTeS*=niz@=rVQm=+b8hrj9|3!t>hAloNSER92s4O7KMFYRE
zO9%Gs(1G(-PQ>$YS$sDxpEupBiAF98y{iRufz>*9h!!r7IToJPz2~)&r#N8Qs81Kp
zbR8S-xTJ{Fo_RHC1QoZWdG^OF=)vQ+=fb-Jlu<SJ2v6mL4mKY7Z<n$w4LU_Tk9cLO
zpwPX*&u-84uspxSp)ZsUg_p`7P?}XS!ZT2x7D~gGonbSbI~Z^@o#(|%MRnA-zwmDP
zJROf8th*R`gbC|yn<^dzY5e0&*3u;>2Hprecemn+0ciSn-1jCmG5+z1s>MkLmWYP0
zi&ij#s!W!UypT5Xd8}?qILX8by9nOb1;+4mpQxL}Mha%Fdd{!X$;A2Vf}j01nL>Yh
z;-yVzsp#AA-{@;z1Ed{@X}vFR4swz`)gm`_a522rIe3<draI|^9+MUz6;#$Xd{Gw*
zc3VyTC}1MRnfp>~lNC5O<aQ-_>tVu_?5iSiCW;wt7c;#}z`L;5@$y4@=sPa$(QU@S
zyKW+#*Zu?0q8OauVd<m9dCQkKl<3$pK^qb~#exIkzuR)%^zn?&p@VBP^-$ILNyP}w
z1`g{U+)m2r<NW82{`@Q|T8Z(!-HSHxIbnHm>4qNK7N^<l-Km8a&DoB}>Doen!A6z&
zPF<Y47j9@Tq>hZpP1aGNwh&=!-znaugDLUU69pB@=xg%S`B9oJWD7c4bKariO}-D#
zBa(91c3Zt6I>i=h$M!1`HWU=}-+pmfSrQ*VeBAkAzbzaV5mL7)*TT$4FIt3;2xCjY
zc-RS=Eo5|g1%8(K$N%OcIUnb^@y2xArS=XR&{gWWx;IcA74ioLOdigYlEG1$nn!J*
znJU<m`BW8q+rvtOtp>?_Es?!C0yeOB1B;_&r3wyOix)K4yd@QhZG9r?EQq+(B<oS9
zh^1P^+}eA;5^9D63ucNe=zP%~>6b5umX)-kn5aG?)b07T)p-B~6-;-dd(!CY(DqY9
z{V!n@9cxC>0dW4ITynot5}Oikp72hYAaLXKkD$E-I5Lfy-ge@6Cn|bYpk|7oe=z!f
zJ<1viFRGA(-~Msa=d1CrR?ZM&Pg+`fZ(6~w*HXMoeuB7h!r8+=d4}Nbz47ho8%t=<
z;+r4Zw-R*(M6AbRX9%^+0TCwu_9uQAMz4M4#>J3Fb#0<E#28PNzom`^WYhBhE4amh
zr}Jd`(><pN-NAbQQ+v%}^YU-?JMqh8D5q&*Naz$1VdC&4@4gwh%t-m)51k{M{zN@;
z3ZEo23_K0iPMgBX>b3sfqm!iWwGOV>0~5q65l#`lHKy=fX8XnbiN7Q%(d&LKXq@oh
zOgR&O!vwOG7)zPGgXG5mhx&!1V}whTIUJlbhB-}TEyKsZ$kCE$>A35Ei5!)hZDHQV
z5PV;%P{O{OjPYEB@@=C;e(GG5W0etnviekZce;f%d--O7&v2CJ@cPVpreg%FMfWSj
zpZiG8T$}a$<uyW_b~8O5pJ@oTL(7qMYSpCYwtMBeDZ>QK_VMlnK|@FkTi{Ac%O%gm
zw9n|T7$&U3*q&TEZ2+089sTcA7ZRxh+*&(vh*)vd<?E?sCK!fu?p4mHBBGqnb-j5p
zL^#Dfqv@Pv!kZ@<+MH|N6EjZ(9%w8L5x3lHu0^sjA;U7-tx)<Ck?I_H(k*(JI7$)j
zcRI^}Q2|3;WB5wY4T`S0t{x$Nig`q(2s407<O$nT{Wc<rXK<ah_9&q!^InCTMTh9r
zviC=(Itj-+R}w#e7$qhXzCPvEr2|X)zgdOP--+h>Ct1=Ne+ks;jANdp!P!Ycp^Cdb
zL}L2uNuD!f#P&3ky!3neaD=TuWPR)p!skl=hv_Th#E-W=k{X?Qa3SOm_k%sZ2(wt>
z<gA7XVwUYd_De}U*yOkCoR4oGA*(q3QiL%@aCGRj`?>4Fa<pZ~vw#7jpevHE<Ha<w
zIPCv$Btr)T>y;b$uM86T9g%!<k+a0YyMto;dZ}=R-#qC0&tc+3O?Owf|2)yNR;a$t
zfC_Gb%#nfOQNl%~VlF9ekr*u>%vL>5fme4qU)|vzBQnPg@1Fj-OvrSpq#XOD4V=W1
z`{Bdm#M^d>^ig1k-52;H#@A@W8_5+P=XocI4@Zh#6g}jCJqk_Br4O~hTbnCFta6G7
zJgB9szlIB_*$-BZDQiLIuwGnO<_s|~ee~Nb&k9)l;~Oz|MHAR;+6+JE&Jj;e4WF5x
z;DM%qb=f)+nvh#{!Q*A;0>R8f(<pI1$Ua?uZYe_p)PHS~>TzBsUM4&UvD_;F1^!UY
zr>OxFm-7<;EU-a_0%yL<j1YtmScM5xr~_OcOzaNh0N?K3KR17ffbO}%9e=#l;b!~t
zeRW|j=*t~F92Fu4857JsFIT9;^~+Ywb)UE)G;yrquc`!OWS-qH{6Y<Q@4l2{R`I~H
zwQjJ(vLsyimX$0Vs|FADWw|eYTM0G|B~Bx}(s0bY=%R|J8kEWT8A%!lz+g;XWq_?L
z^l%ZbX9zX;)bi3!nG}Nh+*^BeO66g?V)J2fOEs{q-`;=hl?d!x6ulqrsRZwZ3og>!
z)SzRrzp>U)3}o#K>o3WxK(%*=Nk@zt82tjng$Z#OEpA<JU#JQzUw;T~_@V|uQvtFk
zUrWN@iRr#!Pj$F>L*VThS9M@(o~lc&Tm=qIow+A9G~wHyWO27Cb-4S*r&6;=1_XEB
zywfYJ4W1v5?cdg@0Yk0JrFR+fFra)jwoH-=T#1>XkNPxWnInPY%>zYH^{RJoVCq7S
z{)I3>du`A#dzQ*ys0@8IU-Rnx^daimpL_Wu6tIjJe78$N6}-gw{no6bL-z3S(3ihD
zP%>9KD4D7TKPQ4uec#D|i|Tn22i*0cywT&njG_jNzsc6p3uQu|!@hUHDRj7CKjE@e
zrU}$k)gFue1`u&4w4O(Y2_hL?f%i6PgR-~rYf}e9Nd3(IEqu`c{Mf43)5j>VKi1+F
zju}E!qW+K{moZc^rITL7=)mf6&*up{jUd^#`CgluDQthl^eda!1%o{i=BLgZ!A!U2
zbm2wwf4=v0n812{xCvt%s@_K6WiZ*t%V`DaGKU|wAEbfFWaReEb%t<H_j2-w@PGVe
zXTouZLI<|?Kz^Av19&@f+{d~f;7Qn(uJ$lGTrpqd9XQK`+605vId&VU-Iy1@JB<#q
z@)d`Ub<m+wO<r$!#s=m~d-rxn(;?BNvF_nlJ-Fv)uOjox78=?64vMqr&=zUF(3?g9
zTdn5ro<4SPx0K;ypF;z>$$F2YN*ZwG*^eKzN;|mPHXP0ws1JNsuh=yfDT5rx(-%wq
zcA%e}W^Vjj7asqneSO>^4cP?(tMYs8pz(*3&SiBS&<p<AEz2zmkNdqIJ$z^faS9F9
zN0=1&bo^BI6EQAGAHA()|1a;@X0^9B|J}EkS7Wo1#3*s-uBAQCpe;PD4Ji{@QU_^|
zVe8X^AIT5%UZmwdTR37FA>iJk3W4n(&$io7klnS7eAIRuFj`#tI9RR>l&$tNH)7cE
zHG}BJ)i$8Y{&BC>Rs|?;k^M8jnHzf}dx{eOV}Vb&_w&}nGC=+Hx4yoe7pY_%<-H0E
zmQEh8kExS{m1~ZMzjflrqBA$YUcUrjUR_q|wL=UlSXP3~-2#|x$}wXn2++uV{Z2!q
z5X=aclPl^4@!nCdtWs$L`c8M!eam>^Oq@hRo|zD;YE*|Vs#!yT;>eBIqnxmP_fr{N
zCn2=il6YFy(h4?Yr)BY<S|m!<#ga-?g>Xd6q1eyQ5;{(!isk$S;pqIMA@PeKe%h&i
zZ7#(E?#oGTds8$(oG}{hq(lm$qhFjKcda?3g2J1HrB-5yIFVT+BZz|Wq*9)sIefn%
zv!F4PPVDQyvcdF?0Jb_DIL+^62KJ97lPW?#lTn^_2jb2O;O6|Cd*_Nw!QDB@rBD0^
z`D9K`^ul%ltaAS2dXmo+`tG@{@|+qZOKNJC4)_RQeU)*=fglq&9P-FMJ!Xvj9{>RV
z{|uLRJk@U$$L;KO?Y%G8#T~Y|$Eu8m$Vg@xiO7nO6p_&o(G*cK8dfO2k5XhMD>Hlk
z$}CjM&%fvOygtu4ujicS{W&<T%u_$kaiTV5ve$B-HpCjIy>}w7W3R@%mw#ZKh<>tq
z>%|^z$T9fi5s>u@v(+2fxUR;9xKv-c1i#S&o>R2^+;>}8>KmDnfcIRep|j!vtF9I>
z8t6F|yxYd^rjOQ6CUGPCDvc1w8ch&y?uz0#OpkC;Zuzp2JSgpL!SWH%ggb`S?bg){
z=wJ)o*L*8p<g`(QF}72|Oh43WU6ctK@ye;1uJWRk-qo65H!8$;7sxO~Gb7>K)hV1W
z`B2=J;cCMM1uD1OT=^zh5V^z3wJeDrIkoJUmA*xRSo5-}v$m{AccqBoS0oPU9&!zC
z(x<=%!)K4ZpV?3>i~8SJ2?8k5ChRHe3>h|=dBvUFIZ&)&(Z??(f`}OxbKfMJ40hof
z68217=)PQm$^K;_WOY=2d(MUog=Thfb%+~XZV@@bZzF<aEFF#~;K&f<1GG?UUX&$%
z1t-xdiWDR+$JdOI;Bhe581p_pB&OIJX?<E8ok;6`V*HW>6P$+qckKAleDV)h527TB
z_Znm0xJrVJmWj0d5FBcmt{WR+mqt}z(<ohMNx&#(-WvH>0NH+x@!E)&LF!uF6W{zv
zaLjjK)WJnTWU;JwDnCOO>3T;7UkW6F+m+Qcb!%Z1Gj@odu0js!*e>w@ys)EhzBgwE
ziJ*{!rpCkxc_g*15&t%i1g-{If48i~P}Z}3q$Wv4G_bEQDY=gXC?fuK*0MMvj9MhO
zolrs+S(@gIQe@Cncyaecu_XGGU%M4jfk#peF}Ie^kwI?0b2KVi8l4V_tmI}>L9^<*
zmOM*j7>a%IQu?I~y1qI~n{go^itk}%wrC0{oPHfCUMh=Lyy@L#N>$Orw$$PM@>F0s
zJ<t^PLJqY**)v(PL_{7;ew4LoDqI&C5}c@(M}8JjZ%ifCQK1}jYht4&Tx7h`9`a5B
z?IZr^KS$I+#7=VhSiKfZ+F0vmv?-#QLH@=VHWKRFyYhabTN_4ank?x$l~C~2BEuz5
z5;{EIeBdCxF5Jx?3;*1VM@M|rTt)Ab&_~Wk+P6&gK;uNy&5W1IXh_X3;Y%3_#T{h)
zT$`y65hgbc&%~>skTKKgw>cyvSz^w3c*Ovy?FogR20L};jJOuKlhBXT8TOA37(#FD
ztA-1m1oZsaFzTGuK=ntmVpj8wK(afi@raQss=gtO8!cByMT^bXR~BfHQu;bw?}91{
z6}8a3M^Hm9Y+i9iDF8~re%RA=RaAKCJth5!D(cD1wyxtfhD(2S=rcl8k=$7Sq@jrl
zqG&#_-W6vIfos8gugIyQm9)SSHF`X<ZSGrZ9WaKLH;X)74+&^{(yOK=UjcCj3{y^t
zngB*Pb=!Sqr>>tlxvMleG^%k{EQDqPUNYK;^F&n8_JPS$)Q{3A<VE(ybZZmPA9wQ7
zmQY5!FE<Grn2RHSLQZLri3yP6F5O6Hz@ydM*~x=k!pQ%V;jUnL6Nu0@`tM<vB8oWJ
z>#VAcLkq@#q(WDXVIQ~qYxkQ9s7%ZxtTuxOd5V>nB$w^v|Hh;;-AW!gKE`nzf5?Wi
z4_@8>-rE>Na*~(A=;cuAjQdpEH6~<fdhZ?szcKKv#qnm>${?P~v-sCX=@3!<g>F|B
zKxCpn|CtRbl-cF+7^Z(=;;r9%PB;K4ys~~7c|!tS&#rl1cjX6`73J8>^B)b0&Tj;G
zS%{(AdM9*)BA2oG1ANK0iZnPMcgv(kUIazr%dA~+|6%y+|H?nO8G+7LT~)HY5b_9W
z?HiPx#SjOfkM*7*Sji9cKeH4-n}1Kl<#kSB(OL4j#zVV-xybhTx7+-vT{bf9z`!IH
z^y!hXzSM5uTB(Ru<KshJat803|4w2O_m-JLybNG=>jAj9@t{L(q5Zd5r?HS|j=wrD
z^?_7*(CP3TC$f%`;Vf>O!S<_XH9n))2kX+Y2P-w~XqhVYb4p<zt5g$nnY7mfev1pz
zXFFMu@Q-4Z6Knrre6K7NKEKd~N#m1*0sJoH4Dtuw%Pe94I(iaM^5_B`7m@47Yi8t;
zdBv`D{|a_FSEeI7SO*HmVt<t+F(C^Hy^mU|YgjP{&DUa38$!pA61kEY(e|RoI8ykD
zUBom<-aCA0>7NO;f5U(pgVm{1IvZI0DT%3}DlO>NG1TCfU_g2#UT5t1FHA?DPU?=T
z792LAl!-s4N7dAq@>t;?Ox%dHc{5)VhCfFNK5?K&Eq}8${aF8DDq4#dk*p?I`x}ay
ztJ9-#6VLs3P3X|y;ABPdM^pe9ADY6`qjkmTV(JZgBsJ>v?~yVUD(lZKb(_$m%r%vZ
zn=1@R(=+X$dl>};aO->OV(1aunYx1%A0|{D<HP6-6wqt`?)>BnJu*JjRuj0!jE-`#
z9xCV}LzAdq|H?rIw01`BcI@q4Nbp8ooWn^n*Z^8UrN1Zm{5?FwfcVbK-S<DnhH8%(
ztlnTE1Kr`-Z#{Py5t}A~<s6LzoqoYcJ)cj4^Haf#T>(re@#505%pNX8@0W4rkOc{1
zPhF~9cVkA+2FvoeLV1wtc9L%Tj0RY*N#<z<v!K7S1o5jgyhyuP<3WJA2E5_+pK34I
zg|1z1`t_8+kC<7Sq*tD+L)+76XVWcK)U9n{7?gxVzwtf|ba-_be?0fY`7Ap!yw*Cw
z$RLPRBP@@V6stkUE_NevQBL%|BX~CLwh*fQ(xRtLQv*4jfAw!Bxe(PlSBtvCLHXgm
zeqxhEs4V8ZTQb0do}}OW#G)#Owr!G|gl-cdMB~U@{XbrGJzkK!p)7$6D|@1;$BD3#
z5dL^knID;(Emu}rOCf2cm`|;yL@-{@3PAoiG?yu4*J>q$ip!I#ZW$6Gow?8}sZ{`}
z2ERAZOprzY9#y12vn7JIjC@SO9wEg3nt$)ZE;&@9y~dJtg$Vru4Wk`jh0z(wc>DvZ
z0&3Y4o<!TpGhj{i=I%^U#5vG=L+ptnGU>{CP3NTs`%4&3Tl$G3$~MD2swy4@tTc<I
z<J7@H-=OM;izIRrXPafNQ${z}o?}1O)PX_Z)oNOxG%D$E;SO^oAf?{k#wW}q;5J^`
z{LmqT#z=4MS2tAAIm(dsvF9YX(J67FbX69)H+MhWlc9zVw$VF>M3O<e_*2hiS$Pz6
zwp7bUK?CK9r8-V~QD9y6V8UHT1vHJvem*}yLLD`lcbLMd@cVdprEP{HqUB0%YW&*a
zi?6Z2dXXmV<D4hU?Qo4zEkh?dnT)D+3>1UuwLz$sb1ITW8R3U-aCZDAqbc)veeFmc
zIM2!^-$PPC)7`5<S|$|a8K$!_!>I=kDj1)%?<F9X^%;95Ckh&zH+)`SsSn;OA9&nM
zRng;ghfjDt3NlFU9jx)&4evYx6R6@ulrL!}ertq`mZvkDn`Mk(Qh~ZE-b6%p{w%xP
z%*cp#$YjB?l?F#<4lrcX)R1<K;jQe`B$Rd`#@z22!0vdx6Tauw(78VrT)7SEDDXcW
z36T@Vu>MF$N;Fmt5#0<<{xByZ)A>QadO8ybxrhH0w4-BrWBAfotO{aFIa&B1)&!o~
z{YWmyh{!!ObVTKf5|W)Aki9ix0&(92dP^CIsO8#&O3xU1<a6(dzk{eL#NX3lPT*2S
z>D>xy@n>bwX3NJ{epFKs2@{&IomD}<cI}Etlom(mLlWbrnkn>3N6P1AE2D<UN0(>H
z1<_^o!sou6rf_KA$>om(JhCjy;Us?KMRxk%Cf2%4U{v<NbJv|dvv+p?Q#QehGNYqb
zR4$vq#mDO80$~Ld(Kk_h(w82|F8^7*N-%){Ibsh!eury;I{sHo*D-(f3iAVv#&GDP
zruC^GGDz>;cs^l!7K>GQ#mnws3@INknI?`%p`QN1^o4>B>~KawcH=a_#AbPI@{WHS
z_WWICgx=B01qa2y1_SU;&3?YEB8rq4*_=vl57W*)zwlXx4&XdC>8yHH2!&?*h3S5q
zqGfi|IEo}`z`ry!Rw*lh*e)}sNba4dN$)FPeL*vV`W~yH-_v|3$S9Do*!mxBOfucz
zl#e0Y)03QdQpJN7Og9<N4S%B*otq<^$=nSij@QP2(Q_ib!NPZ@?cZqF&EzHe76T}$
zb$R-%h!x4zdh0Yy|3|xGt|u$QYyeonB^9d@W<=sQC1`pq&_;I$XFu7a4+nmYI!Dnn
zqRU6;TfPL&(IOt)h;q5A2jSrzjNbWlXm7869z}PCme&}S`e#TNnChx?#w7n@sh1Cs
z1NtXvttmc8M?)7_7|cay!hT_McQkEp`;626%;fTXOw<9K=bNk#X6smEOqWRg_Yqp4
zhJl&iv^L1R3~V1ezlO0A?<Vsr4$xL>>b-{cYC~E@s0~GQ1*3-Yg^efl(6VA9^e3Ka
zfoGnI)GYrZ77}lpog&srYhtd|wiMHX>q)=-4y7(&=d)M_zjZdzNOZ*_Q&%+Mw|B1X
z{<K-l@$0LuM~xVbYDaWV_)7(KJqJB9%QSXT=$&bQ+Y4ILk&}0Kg;C-8K(xU3xd|-#
zR(PYWTLSIb{09BLWeV(mqNKB}JdUM^-92~2y8zP+_*tzKNP#+x=J_Uk6f-*}dYsko
z73O;JR><WQGIR-Ag*FgJus>S<7wcOZurXo;tMyqj$Y<0V?mIq&NvFhy=oK|#c^a}(
zu5@Gw-!v?q;uysICdV&i9&g921LWuOQ%Mj`OVO|q8^FeWzqFTL`iwESjIXjukigx-
z(8MUdA1k-e;vv}fU<nib8%xJDAcA3?ThVwY&Liwuqx=QS7AF@~CaQzn<Dl=7mi?G*
zlji4n&Oz)amu0R|wHgpk=Fz>r-H&C-4zGB!j$ryKNBz7PiJ+QwRee@<026Ks^V{Sb
z!)EN-gV+f~nEY1|_wnxl#$)p6okhhs=1?v`$9_r`ayG5Lmv9YX;W$0@kAaiei4rNB
zJueAxv+TCpx1+<@yuxQa3yW#Yo#^{0Z%YN#o#f~zr$;b;u>kgd^I5FIUc-}VzY2)?
zY@Hu_K8p2sPT95l&10vW=j?6slpzJ}y?=dV3?poOxHC}qANI$-Vj*%14`!=&QeMmx
znEN&^U&wqBiz?p}>E(=vk2x>ALv1Fp(<5a$sh5_q{&w$b7EB2$%s#g2H%?*K54aF7
zGOuEvmPK_B<CUN@-#@R^eFn3uld3;ZvWAVhT&6S5P=vO%3noCA!z51lpC(8D#3oC7
zZ9g+BLIdyUn+1ghtV?L_+~>#*Oxfkr-CfZNpg+rRLOJpcW5^(Ww=DXF?aRtdU0Rn1
zpRj}aRJ4d0Rpm(S#%*B*U%is<hs%S==k&zB%4KYyNrzxh?LTbEHQ0vqM-FVf|90)t
zSjA>f=YCo4rbByDlO?+2<zR0&m#O)uHEfX1qh=+D0r@Rv3L~5xD28@+T)p!X+t>4I
zF-4aNRrS@ym=?-Hr1bLpBbgf*eP!b09t{>$Z1L6}Gm(Yc>B)JQ8+YbZH;^cHlok2&
zGcmuIl!4oU=Z@c0+rml?pPde^XGi<5;oDxO$N=7TMf-f;KP)b!Zrs$93u%jy;}Q*I
zARN2JyE;LK9-BQ|{H@4~_J2**HJ_7)7<T#eOK}WH&39y<Q3D^+dlA{^6d(;VPvh?W
zXUT++yT$eV%Q&=`vTCc$CJn%la6Q_T1yu)0ew8^Vh;nkTU)R8-Ko<FpOa-zc{GaNP
zz8qoHy|83fc2f#OJ<90Rd)X1;Tag<3mMFSZt<XB0A_X}U`VU@3aG`AT$O5LD5@>T)
zCvv$|3Z6c@8!trSMIAWKqszY1XwvhEdnmm$sB6DYs%hp!%sd<AojbP;1jc3hU6Y1W
zzTJ7|S8(XiH&YwMWjVC<J%_=JECZ*%RPTIEf+)xby-3;Fk3;Vg?pD5&fjh(Y)`Mxn
z$k)PV)8@4jdT7i)?{!%g)Vj1D>VFYMyMOxrdEBRrc6kq$wZ+K+*NrQMpAJi)X4a}p
zsyJ1&%6#%>3?>gJcNHep(@Ueg_FMQ<{%Xkg_qZFkr6SOxrSAS&kwKqU8d!{mG?10=
zNz_NgLtE9J_g|yr(4SAq-%|->v|1G99}%Jg$KdRInuG$1+yB<*g%<^xiI^XeR3XA?
z!K5>}or;M4XV>QOOe*puuplP~4Y>I4Xwz~!9`SxJtT<n)i7q~UYifIu3}%#LohHXr
zP-FGCY0n%jH0;A=XK<SeJZDCzeDbR3%bl%DCy#2QA;Q4O#qV0s;l-YIW{8NK3hH%R
z+q99=zR0#4XLX^t`lhnMS#=ci@cp{@v^LVm4F&2D4B)=)A@|rB4U`^OlYTfu8x2ay
zlv=GC0^cs|F*%ilzW%_O5<0ceP|x9kbZ3A>*V@m-e<Xwr$P`6nYNA^Uo<I4X8N=w+
z`|MrDWOUA-e`;Z#g8tsNO3EKM0jUh9)leHU@=q%%${Hpi|NLH-LvyAea4LoGlL{F{
zpMSK;!LEi3sttuFtIXhps9#xl3kg~M?MOL7uZ)y#F+cIyV-Cr^($D{Ck&tF<L`>mV
zIaIj}wX+%KaMjK~Ghk93F-_i<)~ypqgXZU=91F~0%f>;Ix}yu!<3ldK{OEqRx?<gV
zb6DBkC&{@=Ktg%X^sM=rkngts!zO|`{L*{F(o?F8nm5B)y^qacZBFSywiRZ;@6nyV
zeNYLtaQ)!sWm%xza+kH?QZj=G-w{v$d3hw$;20#ohYmiflT^-KF@;6H-$B_)vdFM^
zDQsYR7c`60b)1?pfu6D(S{H()5U&2iChsFI;J>-*&}U)-k4osJ?z4)a%Eof#y;Ho9
z#2oWxA<q~J_kXe!7!yRRQ}#N~4)Mbf!yR2GHe=vm{YU*s$BzmK=FTm8IJlo8uleXK
z0Dn}%zQ7SqbgsYxYpBNoCD9AlKTLy0vg-ZNBP@vAK)!DJ8wZIw+so&Nj384p(e{cr
z9jcVH>_}n|fWmr5#f$|*xb=cXMoeHG>tb?!^mHBv`?uW~cCi@(KA*0&bZ8DMuYxY|
z9sPY?kp<aWyW!#YW~pj?2NrT6kj*Fs2XDB_E-?lgfKn;_dDicrXy>^LB1fHYaB-Zc
z6IY=RW7{7BZ%$6r7@p4Xzb4_Jua<?Ul2IS_?B|?2q_IL17Ni@W5WoS`T957KF+Di(
z`9R#M_H|mGR>P(kI}RihV%h~UUC6p^*JnHNhh|I(TUWs0V67=T?UafxJS@9bmtaf>
zvG(Wd{*rOv^Co`y++7`*f7Zu;&w~Nt$WsnHzBu@{x%_8JKnJ3a_y;8)WrEWR9LTW>
z2gmE2rhPKCfwxJRyGD}*+Gl-L(<BApc*g~YAqj0Ld-qm+Y-1Os<{#1^J`ezRx<jt&
z#aa+h9iPBk%m(je_Yd9F6@<1^CEi}31ro>iey+FU0K=S%#a!P7f$mAfX!h{VUf<&J
ztK&B({9`U=`0`o^w5RZHKVmiEm{_*k!#r+y7~}Fxu|OCMoC0W71Wh>WYIiMFnHT!M
z_ID~j6#?ghKle07s6aR+#Ouh+2jc&A`?55Pg4eE`$BkK3aB;j)Q#;QGUn-Jr^wNvN
z$43?l-;YvZfA=%()Gz$Nljs_iX)giR@6^S$@Kgwn4b2Mc#KC0REUWAXN#NVi4K(~q
z0gs90w3S`~2tlvEOC6Gi^5^N!Z$>C!(|Uc~a$XSTobquSkum^V_BUfbQb4yoHu5%y
zFkEUDblB@C3pex2Iz1XF5M50t{KilOuG3c#Oikoq_wY=L%LfV+JiQQRb3qiYndEGZ
zY0JaKLnaB~0~C<N-Rmmt7K4Th8|5{c3Q%X{SdaaofMJADa)*uti114Wtm`Slr#l{J
zY}Ki-<aWl?szefY-IgskG*g0Dxw=%#U@AN!MsJysq@hWz!8-R49)>EYx-Xllkl|-r
zsp266CMpLASDlsNsb|H;S&Al5U)H_SCCS2+DMvDLSAlN17jhmiG$HVs$m9=3IpDjO
z^V7(g05y_>PZmtHz|tePK5tMCK08F}x|yrOSjl#z=7JU|a)Y9DnLL=BoPFIdLIl?*
z<m*!f+Ax)y@n9%X0SwwsJelnvf`jmLVfHW`C_KhvKkBFm4!g$^FS)D1!<8m8276uL
zuslKPkX3>Y8kMs}A9noW82`4%9zC#{`gwfgs}i&i$#TB?tp-|y>6UXQ`rwZb&+$*i
z16#ie6YGW=1h&0MkJ)Pg9b(>iIVEMdB^+^=`IQ=2R0%#bJ-8bZk5_mL7b?U1D+DEO
zT{TFLF6*tfGXy4+%6*r)RUk^oY;SHP5tO6tOqXno!2h@9Ss{BB=#vtzDUVSFamz*9
zUZBDDKzj^tv<jqOGEQ#UM}Wk`mY(mq0Q~s>38$XlInUCRHa4ydY?&{oj-3YJ`YYC#
zaZCl$c)G6Q4&x!0G0OBO22l45zJibnJQ?calFnCzK@OGBNjhV=tcopEl_<lVtH0ID
zCgs6cTh>aRWDN0b<MDEG%3w3GYE&U12OVqC!fyMGf#<5!^{hxd+>81gly+1G9Q*{X
z&p8@{Mel~pT$K{oCzxI0IVcG}KKY~hw#Gn_4*D1LRS`79g=<Si#DHl!-FV5!7(Qf#
zeHs6u0M|sqAK#Z2hFjt5=ffq8LFMNINtSJS&<t%e%m@$w?ykGJqKg2-H|Srd)62t~
z1NYwqv+@Jed`^5*B>??MWceRDIk@wIE7N+K2mXXlwjU1z$U5L2YD+H*m(|KkJsmh9
zOw}r<OdUW(ckfY678xjfJF<SmgAE$l`@C*_ph2ks`;3pG6l~4jKR5TA1vXODF3PIV
zz~ad1dv%8;ATukoi6+7f(o$!nJra%JN9xlX;n`vky>Q>ku#^!5dU~Jlo!oifnWwuS
z{SpBu;pY4Dr3~ODupZ!RWC*7ZBx(jm2t$#dNJ$6>1I$vdi89{V4f?pO|8@%rfvA_1
zp~o9~aI47c;N38QxBAbW-*pQB=cZx3OeH;h{LlH-A$tSZz1-NO`Vt4s60cnaztIET
z=j&~@)%qY4<EO9wj345o?ZRgq8Q_yEzjmUeKG;~B4ym^AL6X;e=EWZj@avkAtl?!n
zcoBKx<{l<K5Y}0HDOke@mg;`|6|1^1L=A2TbLIt!l@FckxlG_%`@KivxGs1tbk1tr
z=K=KMMDg`vW>{>L)5-aw0}WQklNoEcfmifx=iY7>X!WvcbvdL1R+@M*0ak8U&S{f&
z7iNWgXO6Lmc5T4B<81IrT+l1W)-w^#2D5Qe<Gcs8A&Ps_kf6f_H?|JXC9JT+HQrT=
zeZ5+6&}Pq<-8e1?JT|12naBy=%lQ4~?pjdqRpMGJ#s&0sUjs(;xItO%;eP6}CTPT0
zbJDE2AmT=gUmFuIY^hAp%n~%A^!3p*#gDmQkK-exzQqgk&hMDZq%~pD&UsW(g&Q7p
z)!MNz@dN$0na>zTg(`&)c(HD75O;U7_K?IuqZ-})*Irbh55C!}lg|Tl79XsRTL{3v
zFW%+bd{k)9uDz&pfEO0pmH7>?2m)6Wxc+FQKumY|^3M@osB<}OFaK2tHtT*q;ftlf
zLj`Y#q&Pmfc)&N*%t8dT>M!Vw0|kg_O9UM~emMBmHQ-IFC>Y<_(52&`Kx*cVR2OC(
z%oc5wU-lM<{#bES*{@`%I-Qqud<F+GHLc_TF-h<)C(ClbCPTqJwcJ<30${pyZE0;*
z3f}f7xIE1xL$y<V()&3<;6G^T_0UHKWJ`6OmomvPXFj?3ja?Yt?x8wv`^dtDa^br5
zo%lg}rIk=q5xCLA_V<3M9AqvEzFT@khN;%gmY8%=U>i64nwu&QSw(bYxdt-y*d3Ty
z+7N>ZfqQZ_&lF&Gz+HEKkqm!5nnip=B%tctyAKQlig1!8s;NYs0_bdstt^uiEEGpS
z{K<-k_GA31U*agB!r|sQR45Iie1{VD8YsiN--PAnc?!G>SsWgHE(6hF3lIBFslYew
z{hn`qsIc8kA1ZfK7J^=U>(9z0fLD#Y*QYHi{EB}rbR}92KAhqBmsX|<mrDNW7CzMk
z9hvh*t0(0lEm6y*<24banKt6Coz?=<z08h!M+K<074FG;ss>w^++>JW+Ay4a>p_#b
zB22usx)~Ru4!3i?FMAm2z}<P}9uGAoh*7#W`kq$<9Pm-%ggv^zJYIg*ivtgLVip97
zBQ&7i>im@mH$8BEZA>s8!h^BtSQ*<R4d4qC98kQh509TaUJ=b!hX0;<I?pF*zzp-?
zlhq0XSouI!|G8TQ9EPd$%8DA`dg-@l?(}XrdF8R)k46=Eo<b3j2~&r^KPi%`d`9r8
zPS)>+DgnkCpKK^ZszISd3cnzU2Avc1Q`7zg$QX_N@>P=vjbr+%{*nL*kI&)1ClG-7
z+Vr2p&k68900030{|uLBIF@f5hV8xg_S&1*YtQGh%8H_YB1(l)q*5wUNu?AeN(gO9
zB_a_$PeKuzq)>@uhsfsd>+i#T+{b-f_wT$;wk=y^^e+L9nh$q9-=~cUa8z6y*F<bb
za<ADuu=OJE>nG;gkjf*Tg!5|P>yCC(X0;t+Klc?Ueb9pWo!$Z=E;aN-RZ!;V?I5T$
zvu2H>7PxpP1JkCIai!k;X4_Lc9KMy~;F_X|Vn^Ar;yxNY3#~d-n(VNq#ml{+N&~E0
ziakHRmxrs^wo5|GbG?IW;|816(PE+U{RpQFl+89TT2<Hqz6ZruHmJd$pY=uN2?@CB
z$2dQ`Y=^~}Je7h{RT$-@n98gZ#j91B0s}#IuxZsCZ@H|3u)U3LjqyS-o&PLitzn0g
zD}zs2MJi*<HAEFD@qxAT)LDriz|ir??QNb)_}dnGW@efbOBH_Bk5d3|)}?bIhBVxp
z?CNPe$%dx7=30JR;00s)lBbCRDyRpks+G*x$dSCOq=~?lzXyF*E6PDrJWwM*W{J>x
z*kaEiOMuJ8>e63T8H_n*TwVKqj&R)no#7W^i=DUTF1>P*!q%H>QWj%oh?!c~pqL^X
z9G0CEv%Vk!B2Jk{Zgz_BURxFOdchi;nY*}O&4}TwY_CDQ-V~wYBd@-~-5T3Q9-ZV(
z5QXPX!MxA2|A@fpnZ8HaR`|I?&6vqt1WAiG#)n;|h-+nm`bp!K$SA&0CdwxaTAg_7
z2>UegqQsWh#LW`9CDW~|ScKqp)l_Pg{0x!VQ+mBS&jL4l%Ab8<2;j-<(x$6%v&7G`
z8^m)i3%pp6m{`c=!+E94eCsvliTl|phug!=;UyvH^2eDM4Skh=GuRi2+|r%-&Y#UN
zuE25axHb>gZR<22<YB^MF>5cslNo+JoC->}<Hp_V1sU~P%n0(R(KakIMf|4SGWut^
zpz@;MMPwt(a<0Y_pX!++KWV<?5E~b|ea<SF=dr?k?fbrhyC&d&K5=&F9w*!c##J}4
zvtvt^v8#lp31V_qU9~&R38vwZWcncvsO+#F=eTbSX|>W<$D=s0HD_D<Fe?}GLRkYY
z8XLohRp&O}6;8zZf1WhW<Ay|yuhGXBMyPCB*nHtTCmybQHy{wqi*x?>R}Oj`A^N}_
zSuuAmc%B-lXdw9UQ!FH(ZIFTMc_VD&9b9NVJyyeRDToUZZeP3-7-)|TNNr8whLy&t
zD{cis$Q(7-5YuAdW-DK3)eau4;Xcsr&?t=lA!ek$GX&#8n&s#=UK~-m6d%tlifz8P
zM>UTa!szNc-NiF}$Osc*f8;KPdvAP|Z5f6Laj6P__MRX9Lt9SmFBC@uZ-tP@Fdd^O
zqj@bLi0M<6p+|HiQIlu&w6Bnkiw#Ngn|2Ce;lR1a+pDE8Z=MlV8cm0{?_A?1H(|JO
z^51;AUj_lkcf8y0K}XI&slfn5z*ZJn`D%q6LY$;maOu*KxMka+Pwt{PtehTEXsQ5(
z<Z<zxVsvP}-6A&?A%-8rtX7gLG;m(q`t&&$9WFW3+ms8$F?E$=>7}I-q~7E-t>mHO
zYaP==;Ux*=1f~4c+oFv5{dB3_GIRv?W=CxZlfwCaCG%%jR3JymE!JAn;rx$Ux$&<w
zda4+|+&fjlS04OxCX5b`KFbSQX|nLX#F?(3ua0CL%h<MJI-*QYY}w)=kCD3OdpA#O
zz$K<o&rZM)HxoL$RFo7EoU~7NOTQ+PXV%I|#u=jA&Gv2hNg9mqMvzTz+Gw_8{L|rQ
zK=to2uapx?NQ^Pwq;XFNw9HNNDkTi~76)y1J*NzB+V49-3%XdZxATbm0V6zeO0rs;
zsRGIJ2d6b`^fBH!|1-+R7{g0!8MOtfP<PMcZQ5jjfscVD6>Cjk(f(}<Yn2*yH(F|V
z=+W_IN$VN0%M=@FS%S~%)nTYM%O{vZhs@vVXqFph*eJL`vaeAC60&Tk*R;?v=Wi*0
zZO9z9IX~uqQ<{*m?fQIpf{uu|VL^tACC)H^Zp+Qpg3cGwp*#I_=-P)gI22jo99?Un
zWQ#VcLlr*>711%+zi(hj&IT;pQ=)CGI#6c+k#fVCj@Soj5|Z(@@Ova_tQf0<or2DB
z`GE$w{Q6+p*cSqU36r|p>veFH<49TmCp~<3c<EVp7C08`xVyYZ2bz~yE{9C%Af_|?
z>k4T*EdAQ*ak)_k`ahOV{%p}g#dxNDWQrXuK3&;rbxa41pFH$);xxe5d&R+W%nlEY
z!nap2>EKAG=$L?j8h#c(Klaqr9*&&MA4gYfqodVY!~eW8xH4WIS-sgF$Hi+|{q}1?
zjJ9e0S1B5dUH=oiw#OcMN^5^tM{2_U&kE(p1G32bm%;B7YL8(Kx1W7p8n{Mmkdfz;
zgu<cUPp4e%aaA$lg`kW&oE|1crm=}4ZBpvaIca<R-us_o<~voef2%unutNZMqwT9V
zw%H+0t|0S4tO|<ndd!dHaG~e0%%hS-JGAX-Q|Q-FM%mpU`l>aoP&K;Le9g!Xy&In>
z(pzXS*sd#jyJdl>vwZO7dketx{ODnEaYdvjh8?ah`$wFNwX=K`3B0{tztZrE9ImX(
zN*|_;5khMm+?T&O>;!!r)GcMeV^p+9y}qB2&tx&r^d_+Bp~KqJB}rVczPh<1znj>Y
z!*8#C#ug_lv@0ct#9<oH?8GVYonZ9mFnyqGkeU)uW5_H9ZH-O!Dn?%k{k~0%hB<3Q
zkNB0pCPYvWpk?_-tc_qlHB;VdX$|oi!L?8Ggz$E7%^nxCHsV99yhh}aWgZ>(|LU?^
z0QWDaH)LpjB~n~U)^^uf;<#GL^EKaj5%Aig%=1hq@#7pTv!j?L*jw{1PG8}M_&xsK
z0QN2-zo)YxJ;VYp>sto&GB~jloZ7Wdx`|r;A***)=9m#Mre(CVqs}{*mxt;lK8M9D
zwn&>JeQ~GWs|{>8obLN(t-t`$w{t$_T(lYH?u&_einD^<hDUEYb(pYFvA1shZVHjo
zdrQNtEMPax(`dUnO6)(pN&2#jDKyUpY`Ut#3?Z|9wX-SX#JR=c=%O+c{P^`<DSI~)
z4yNDV$4H$ZLih7k3Td05<iaO+p|?v!hT*hAZr(paRr+RC?loiVdHc8MI?oa@I8hoM
z^KP0TPPfuMWR3B*vGjUs@*?4F#wIW-I7j$<j5i2o8bSJgxwreeMWQ$5Vb93+1>yj&
zQdEbW5tug(g^UL*5{7}F7A3wf5p$iF&ON%xz|hF$q0k$P1m`rv#?y)!vQ2#&N%{=*
z*WMrXR9YgA-C`n?GFdS5arErLDnm34=crD$EfKs;zh|-q*l?SN_3@F_hM0|L6W0x5
zLSuii_|+_StliMZRQ#Kc^r+$S^HWSvKlql=cH~6Dt1n8r@pL@TnVf65!;F^0s|1sI
zmwEogLRL_Pj+NPyUsmsBL6x7uDThfOs0g)a@}D<As{Z!UE<aZ6RvsytXXA&?qi<Cg
zyYyind5ZV+W;Rsn$xdIh6-3pVJ7-O8^`ZRiY3Ahwc61j=WvYD?!h7XK-<;cepuK3e
zzthYC7wcvn6`BYXj<AZRO6g%HwDNYUITr#)Z`_DKEecyh+5wI$x^OR*aX9>n8<7uA
zol6lA$5Z8so6>5!2p)b^ToKEQOg%oEYb6pGjL42seW3%!Qcprx06%_z_+`i(D}|Ya
z>gK9&9gMvroJ)2HLg>HemXo0}h?=~ZRimo|AC+ev$;<bX-@<NrB~}i-XB$#Om-iHJ
zOs=OeuL!JIBo*q)6`;5`*u`Q{8=^+hzqbX5Le??j`P_LLj=8qWsgG(SKAm4xxKRwR
zP58MI+m!J2=rh+85gkll5AKOvF9ClcD*LLb3anf^M%Jv;!J|FG!f#lmp#QLXS9!iF
z4DTmycuML(ofIhJeJhPTqrik>x;nyT_a&V5*2P(W+Rd5@S!CIDs7KaoU{-nI>VkwG
zLXJu2|ErUSlzT#Q?QSg)Uer*kpguxcH2HpwD?*<$%vn@f2Lk6CY8LDb@L~TnTZDoV
ztR}?|sC?E%S1eEJjtz9Yo=LP=T)o`4uQ;MJK_5F_epXjDH^iwwC*8-BRp8;3RLd()
z2Q7<zw$_3HVQ1a|w5X!;Tw&OYHahf5Jyw)#Hp2ct^W|NN>Nq*bTl_7-5LcqVUe|qO
zjBek^XO*EESS#z-vqpx2maKe(eic&)AF)u+x~~Z(`_}0L%YAErzw6(Vax=IRmj{iz
zv_L!hY;{H*17oY@wdKMr;B@Z1!n!4GtQ<%q(%v#q)i1+IGqOUhZT1DVMICtEe3ElN
zi-Gmlch0!7*}zNpv0d^fU8I>x(ZbXjIGQwRH2T37=CYdUuMg?rGqR3E?lJ^NctFn%
zXTT}6y>RB29@2jw=N6Az?l%Q1z0xG@kQROMP@9N8=<Y54D$DQFSk3VH`qmEq0<WDN
z=JlYH5Ls5SoIlNyfewkC_9zfIlU#UB520d~MsG?rp_VmnR?uS)D#M*;GqWB(u@@Hn
zIHm@3mV<1477jQ%muIn2Sr<}~=8183%bW>+J7&7W0pd4VN0fPV5cr=I{%R^<mF|Ql
z^8p8(ZFC!xd!Yq1Z(XmgCWQlvWA+=iI)IZgbd6(;CK}g^uQ$pOL1lkuVWN=(qBg9{
zF|APt%j)g4?f$$d)EyCv9kRzg&MQo_s%p66;=8c6js-^f`6kY(_Sh0EB+b3dK>?}f
z=l3#C5l;(8H&yG}<DI+ISH%`3*xm?}A7bq#o*W6DwXCwkeDI=1r7;aOEA~QlwkL$u
z?cxpI&UR3*dTzStAdj+xcbfm5Xd{iIfBqYP2UyQ2u&;BF!Lcsy*xB>HNu`PDSWjO-
zR_m8t_%2CUuA;XedGd$+=2=9s)DbvfB$?e&F9v&?0It`$<78op`+wHoZ1I||Zey`t
z1h&7^GR6O!AioxKvfiDyf#eEVlbtd`Fsj(2(PlJBK2@z=!=Y@0jhepZY&1Toa^3ms
z6+TH?vppNj^H}yZN2W6z5nS-tyl#7-&LnBZd0~CZaVzLQ?Ni(+zsxD+cby#<Cdj5@
zC0wquMBIG9<AZ7}P?Jl2?pE=a)a|Vv4_~sti4F984VEP$@3ekg`txy8n3c?ZvC;x*
zy0v;T-m^sO!@k(hg=6HZpc@M&m(6iM_d&Kj{U0GAX_q8$b(9?F2->=5zzi{R88pjt
z;{+pjXtGrH56SYj)LYTf3`swOV^~T?h!BNOo|-blWZk1shw&Sx$hO*YKUk)p5MKD`
zlW#jn4s3jHe2c>rAzrPD?#4YtLvQ+(pBMT`xk$;3f4fYe9>unnr|mnTP1;XA6YnEE
z>?>XswHsrN6Foq4LmTn3`<58{yI%6>$}Ia^?#9R;UGEvv^qyGE@_5et;uooXXtDqL
zvS%F_c;uua`<ig|H`VOy>mgGeg-qiujqv3fcnbeLBigU3#&NFfA(<*><5bHS_@Vpt
z6eWI(5YUfd#C`21lS!jp!DbA!<z|2ADoZE1R;x8h+~_7*Ki}M-`OFZ?XMK`RyOxkq
z7P?*+u6C2C`?0vj-Vi+>bGGZ<r%2*v2cz|MH+io%lDoc<j`1Q7#qfu9WYmr~;sWYD
zWH57f?|wfzsK)6U4Yx+pK-NI5=y4C}t^P;&WUB#GWHUCJynRRBF6`f)z2_IXH{CGF
zcu^m(gGP3}3;al0ir<M;3G5~1_pgZmsH2a|#scO{y)C3uUuKl>vESsUhR`ybO?u!A
z<8V6^+D5LhO21M0p^tp5Asw=2nO|vX$7C%hzmg77XD)O54Uj#>JJ<Ya)q%pDy3nT=
zJISlv>M{GIhREkj)8A%gbg*AqcjBbl4{|SLS4#_zkSXd9R{8~LL*6*t@@#4s8PH-E
z_DyA!thibG^<S|T>c8z&X_4$EJxtoMGjNPd{wBVzibD&6kJ4;EKj|T*L)%|9QRAeW
z?X7h=n>4X<@3f`T{$5h%S5Ys!^90$|QSmFeN&^>$OZ0d9^pW~Y&ND}6Cdr5|k2TKF
zH1NZRsgT?<K<*dV{a5bG6j|^=)hOw-IwV@<hWxG$k%w$Kk5~=PkX#nGq;5>A;f`A@
z^9c7Ja@5{iqS|<##9BwS&)d{+kCOiQrfrlwa9Tu9``IG-A0-p!^j#HPG}ht;_i?hk
z=9cV=Y9?y!&3Ctj{Z(Q8vD-rX*I%-xZNE#a8w<7D$M@i_Zz>339LRUPJxO})`hAjZ
zk(FXk&a%!8Q2~4067RK?DN@|#na|%2cB(~3*?(?A8F4RPKAU+sL%!#|QDHF5NyS^Y
z29KXn#?H;UnkQK1N&ElSoG3Hmp+eVtEDEVBW7N|7=~&7lxqaXE_Qg^@iu>v6R*nWG
za8NBZWDyg^?b^gYaY&GolRVb;AW8{+vC5y8Y+0yhrr)+PIS5ljHU70Cddu@s8L2%J
ztdtnI>f=X6sPj%t(MLyUcpE3<q|nMvU9C(@)vFhyo~@stB~;Qda<TV)NFOJ4O`$;R
z^E(M@LO}PdSOyL6*_0X=4R|QyB3_}xywcQ@f6l$pr)WqG|K&Sa#7D*D_iR^<m8HI!
znU9`MSoWkwp%c-Of>eIKs#L9(0(H}4BsV9Q2DuXkmNGWNl&H%t*)xeWN_?<uvgQK~
z%3<qzx_*gJFE*BcQB+c<hQH>Ty;4&`+)(0t-xD#)?H&J>mM<z)>04a`_Z%gBavb9s
zD3+iaXDwbBm#R^phB|qN?Uk|NYRRL`9a5CvZmIFMVhzf@piXgxtO}m_IeTn0k)<9s
zy4@3cuSKo5^lhCpP+i`)0+t}<sjz)7Z9@5UDUE-tz7-^@VIODlfRPQ2sw2xS)Hdl;
z+e1PhktP~wt{s2!yI6_RzWL?y>OeYWMPn@#vDU(?b31jM2^A{aygYpUMMJ7OaJYKI
zT^+=|IrZe;cU8*0Cb~Voib36FjDK@Ep$}iT@-IKmt5ah2WPb2xBkENoDRFa<jtedC
zB!^rysg?UaeYW{%Oewj?SciRJpgiU$QN^xJ-Qi_iG`?X%*;O~>Z=5s+SZB8jl<QC{
z{f!l8jZCR;jbcgRo@Q`o+w^6Jj~*4(nX<m;fGM?O$3#j=s|8GkhIbwMpikNOuRnWX
zqbc=rM_po9j5SRDd~#mJPp6u<WQ2{jn^4I9P-Lx5U}sa7%;<SK#p5G?J+|MNQjb+U
z<J<!zs1DoT>!(u-9Wugdr;Vsvo%4K&^7b%|4Zm(GW=KWOD((+{VMrBwr|gng=6<7L
z#12bdLyFTQf_I~b0kw2^Z0fU=BgUMwOFlNzDXoV^t#@x}Q-@4*q9<w{5wq_5mL6X^
z)e)B^d6ZP663RMOd^d3dyWFO=LSY7!F?D2Y@(Ycs58}O6w%rN0&erb^Z`PxF4Yey*
zdP`AvkG~)8-r|J%6P>cI13HvYYNhV;U_t7_eMh>Wt`qjDrgw5L=iox|u|v}`Ow{)c
z%KJVvIb!_d&Xj~S4Qlt3-8P-dZRE_r-Nzfe9C3Svd*y2<HELSJqiTcWAEMAFF=x$7
z2Sg~n)8w2`rVh53L?;|!g7@_wePUV;C=P!UC3Bxf?VT!n)o;p)pULfmn-lF3Secf$
zcT|qLbI|hMc`H8n2^Toq4cXzWs>`7zQi>WcZcdr~Ac!BLUq9=4*<pY<-Q@gUjGEwl
zxJye(7=v5=zN~u={J8kc@S?UbC6U7`k>4YX&DGw&1`L63qrure*}T-0(XVsDt3}|i
zWcs(tkARu^`JmM??385SuKV6GB3QrbGw-_1wlMWLwqKxiiIlOQQ1OZufxPq3*1u6U
zxRT{9{kdV1{8@L~-XcH*qFNV^r)OGYY_D`gz{!5ns-wkok}iT-_u3q#H&*b_Js^Dj
z#s`wt8N^YvBn;xfh*|`v6)p&$^SR$xLnIAfRP}r>jMvq3X%QZlNLwsgs5kjZoOL!2
zX)6%Mi(XeRgIo(RXB=GhyL*_(<&|-6PZdVz{)&Sg)8;59$KKQ#PY}ZG`fgR{md}5l
z_vV$KIoi7X2e(a66LKb@cNeb+qdR*cY-^1f%8%WTf3$jmX!>$-WKV@KuKV{yz{CtY
zpPZPHxXXm#Pm&s;<H88BZDQejV2Y^H1EsttSn!=Ki0`YN2sTwS-8rXYiXRy}E@(Qk
zq0=Y2C^}yRlmB!c=RPt)WCdeK<sWwVaJ{PgtR;#Vkt@Dt)+RXSeZ}c;5+{DCi0lh~
zDGFtuUGl!o#whdhj!RbI#=DW@$!DX)z-eaKF1O7XRY#+SE|>9OG-R&kfrB{oOP)F3
z=P<_p?e2Zm9())qyKPL@k-+F^MxXryBYeE){pZs#KaRd{Ek39x3CW>foAoysp^s(v
zgnot~?kBcQ4Y^8zf99L+TOlJ@^mAVbzbAz8rY&W|@zMzT=6yV)nSp|T7Pc-Ig~82!
zG`+b^20uC$4@z8O;QWvH)E_5B@HVfkv%y6Ue@2tceg!cQm^ah>@{}k(y!v(NU#mQH
zGhWD6+A?4iad4ymWiebO&i~dqrigDcTOWq1Fwi6N-+X_mI26v+sz%?SA*SXay+xD(
zmz46N*j@=JKmC5&^r8~_xqlvA6k;HrgEf9!Qwrwsi$Q70%3w{8W?GPCfMv7f`R-V0
zjIMBVK5<zEPnc3w7EBm;ne}*I?k^eaF%Ta}ysL^<2QyLYKn7mxt?Q8rltY;2bkV(P
zHSEg1|Ci}11FI5aLOu=2<C%eo{HmYoXnvchm^#3Kr|g{z9}^XE>B!4?T{cbpG~Gk$
zt}?=!SK1Q9RT>&gYgRy23zzP!)a$P?Ld5wfnc722U}+CverThOBA(HzhhE0GI#tiH
z*IyZXpR~%pbk)K9W7BV<Q^t6reRhw#y$ZBOU0=>R>Z0Hf^IxLa1TE}Cy+1Wo@xgNQ
z6EQVC_}_k@Q6F!L*cD5=SMsZYb>^g_UAG>TZjCsl>@Wk5uX4Z8kQ$_w9JxXc=%c#;
zuWkjI!*$>I%+?p`xS4u@JNAn{m}`!1rA1i4&r|CH`xy=F$=cS($6~PTF##sZr!3L`
z3v&l-HL)@C$mx;+ef)lt_VLXvE8P6>TwbM96ZHjSAIM~Vbn%ue_|;k?>AYXVsX#5H
zkCucz8PtP5M`YE1T{gHlmDshfMhip!|K7b{_DFSuSm%y0TO1v2*79W6M$?Df=#`&z
z(Dg`a#o`|VzPB6V9cbFvQQ%*&E>s(i_8zloJC^bF@|xc<QEdz<g)@X2G_kPdPUV{>
zz{B0%Yr{7!%sCmJY-85InLTgv*DBf}C{ElrI8F=mH77C)<<)Rk@x|KA06Qd~30M`n
zsEM7XI%VEEDqtiI$$v_)L+7zoEdQ<71nNJo^fOn2#qX6f965G4aqqaiV5$ZZJy+98
zZzw?d{i~3PYj&8cnLA?pSRGsn@h^|F$fD&?xcpp-9oBE1bK-ukhRr-(tIMxT;@hjb
zYa@H@uxmQ+`}?P=IP_!6XJwKY&Sa$~3_97NVR(3K>aGfC&s|d@nuNjnbw`mNza8#}
z_2gYoRYt>fGml%N01lq{;y2U)7zlRQT!>YIM5EM?HHAF5_<pmWZ5(hs|2-4)P8wSN
z?hQX_%ZZ#723DL5;O<{$VG~jT3o%Ev#dfnnxwg&wOBDf4nb+^@E9G$X-8Rz3j0J`v
zze{h65Kul8HhSr!3_clXsAimGf}hCjw#pz|P{WaYPMp&4>J}n!Ws%7GS+X!%YJ+>#
zxu5p>Nh0Q~8{6E}Jh8d$4)KW72J4;T`QJ2)<9Jr*q=UdbQ5vmgCbYpCc10;$b%Vv=
zkSk~G@nVipEL}(Y@yH5UgU7Pp$cy6o{whb&**T&^@tS5Cw-vfr4@LYpEsUF)Hif5e
z%@c{VAA!svmIzUgsO6s!f>8Nx$GpM?LSNYN9#5SGVqQnL3<?T?Wn!PT7ylAr==|mu
zr?v%>Mryo*FA1QwvAbT(mkA@unoV*S&Cx`Y(BNCak4>fL&F{K0<7bsBZ_uI{{;1{z
zPwVp`yWEUhay<*o?tGmZ-DQS}=fz1rt9WrH{q&H;QC92=U|0IoZ3_ABX^)5;9;EWI
z*5WxE6gGcJkPk4$9etNQg^E0g@V9RLE5?C5OYxL%Urmr#b19T;=7#gk!vw2%PKdvI
zb5SS21dmEOSDeo0M*C68p)zi6u;zED$oCjy_Sex=tB2h1P1R>Ulh1=2*E3z-M;K#O
z`kxY?c5WCSdb!IwXqf}fV;Nyg#<&rmOx!cz!9%mb9aUBWnAG09Rrc~S7pm9iuD-{E
zh3a$-6=@;Ns@nC57#hKRnhY#+<;C!c?0Z^j!mwq|D!cfef%d5m&nrTFkS-e=adi-Z
zuUv#q?*Rs)8-&hJ&GBJ(^!wL;_ld%3?x%2wDg*xm0096043~F2)o&cd?Y(#QUf1Pb
zdw)OonnkiHDM^YVq(O-ap|Urbl~GDYk$&!jB1$Ss0~y&Pdu9Cm{rq#D*Xwi6c^_e2
z+;a(b4*14SdmyiY4=zZ>Muzqh;R5>CnQO`kZZerG?Lq?ZNmFYsH;D+>8cp?b?6_dv
z-8XUZo*=~ZSs5O2AcDy25s_s+ZYX_ll{!jvAH;<t4JR=ooJ%Y`JTt=$U%Xl$e10no
z$H%YyvYaPC>%Z%&3O{*3K040xUz{j>7p5L%=_J6go9n7=KQBCU`}=YDoH*<|Q8|CF
zh5+xASKkY)@xi0+T5|?%Nie@R6*^Kv0DYkrlBl8p$iHI~A(=|S$u$oZqf!FY4{vqP
z1qcGp$Rg&OhcpadDN&t$L4e7(n$K203xOxn<LAF41D095%%{E*;LAViGhSB0&@=h&
z+xsS2pt^S9j5<9LTIny@i1dqqwadSCJgq$B3V!0+upq*TGCTRqXfe3--%@Y2wF2;G
znF#vi6TwfA-=xP}0>-*sb~dvW;pXz34}o1B1TdwiJn@onV7*SaWKsz(UR@~}OIC-I
z9F7;+Z%To#N5r;;1`Zg1Z22q_H9*CR%A_Jp8gA8j6`BXCK<D;{^QWgZK&tU<d*gK(
zsQM_xHIjpeA16gx`ze|*!oAuYa#I#u9|U)pm8*i4XVoJ4nHF%fe~-QtB?pxBb&sdX
zYG8?}r<K%cgLU)J)AC#L@RNPumZuy6{F?)c*njGPa=6Qj^H&rg^UB{|W-kJqu)7LI
zTzZi6NA!I9F-5pFx8&y#L4YD;vQpx#59cos@?!}~(0w9@Vd5eIOk}#>d6pPJO)33U
z#Do&C6D51YNCc?Hi^XC84B?SQ_`#M4WjG~5V2Ny2gB&ql8rB2Gkao3zdv!?}R<<xJ
zuRZ<W6O9fn#9@Hv>-7yX!hv!VugDW)JX9ME7T!1lpll-Elyw*foN*1InYVGE`ft`^
z;y1ukMqzaca~#yq^@Nd<lwgVWJBh}g1hRAyv_>>Icqp89s^3=uY(&fj)+<P0Z&aW9
zF<u$!Ty_(m$jL!fLgoDG0tu2LE1M3?DZz(J=hvQhOT(kjpSdl?$Y4njUdoeIg3^Vs
z39o2L$Zs_8wjz+BhyS+6Uu{J&(};24$`OT&^0oiDsE}cBjLXXurvP49L4MLXA)q}#
zvbfDl2IVNaJE~0bAmmqrJD<h}0W<}UArmC{5;iP!wnr9<+D6%pWVpdHL%EFSDG6R&
z<kwG1mjT^S)}m~EHYj_0kj?Zo38sC8UvxT3L-EF@_%I72+&?L7&?i8Gfe0M2l1~a4
zWlDT@p3^|u;7rJA3c!MU9w+|`2{2LPr2S&CgBiUSOBX!}5W(G9*W@Awj2fB>iUsSK
zZlZ4JS6ToLKNYVoJ`qTGa$KOod>Qiy64#e9$Dk`Oym8;65Ip>x+p)v5fEDu%bkE;1
zhUcZ$1g<3kNOkX&Q+zdx&A(*W*Vk+W-x@5;2lw#<OW&B;==KyAz22;Vqcei=Q<S6!
zr+GmKi@ucpcoGY)Jh;$eX$VF<FU(W>xFI)uY*r&`5_8Om(T5}hI8sKtK)AvMKMs1G
z`Rq7_DU1%}Q4Q#W&4vQkP!I=H#PinV&P-#6c)iRF)$~CxZn^8N5gP=U`5(P0KZj*_
zcAQ|3(gSxciF*$YvcO+Kv%=26d2F`{dP9Hf!pD~#<p1)Rpj=BSsgZsW^Aqg$4>#6@
z@e5P!ig-qdqK~phZ<jDLzAPcmA|1%gXgs&QOb<^cBOlW}Ucr8!E-Vpd(Sf+#nAc|)
z=^$t5s@+WG8kQJ;%{TdyHk75C*7iuz!2!OUh?hMZ*wvI@3#Z4m;Ml(XIzPi{VOnFe
z4&&d#l$RpS6OL+uL5x(FFEcGjd&|VW3fjS>X^uASe$@n*Ais+C1{zQ?RI4Fhrh@UA
z-N!W!dpU5bKRqRt2CDA4vxdE;hDle{TJco_tkq*env!VXgFubvLpfR?Whk`&b<==3
z+CcrXz5A$rxsp<qMF)WbKW8Gx)M0UHLvwqP258fU{+pFy0MW9__^^xW5PdB3V}~Ox
zFnhl=oor=<pD}0t&NHdQ;J15cuY9A093!93kSJzY@~juxDImg~*7)t_%XCm={-UDN
zlNAC_ex~U(B7(g7Px}U4dN|eCZq|E(9lnl^G$s5dKqhWMzhxf-4Dr%F^Nr?&uj4+r
z$Y=uaiXDxL6Jdmw!liiDDK4njdXc!IPJnn(!bet&37F!#Bo8a_fYX7R(y$IS*vzfi
zjM>xS?0#TkUl=d6B_^k58K^<z#uKgE^DOWx&#J^}mJjICT82rlRH0k_k9@}sHejOG
zT@?xyfM{xk@lp#_P>nBVvN7O*>$;|CXXS)oOg~XXXA}=sk+*pYIJw}3x|*ZO!alhB
zF5paZDjtLns3dO+a>L9k_rjpxBA{AoH1p5}52-jF{W%>Th?)0&oU|YYDQ^f%WduB&
zF8#9fGJqF)jF|lc_$1-(LF;;)G#-}o<V+J<_~80j!DDU{DPZ{su6$~EprQ${$|MSa
z8NP_KE>ar&j3zcKj^KfBaW}H3K@hZOU9Gmh%Rq6#7v4vuc(|OcEX;gzAN=lLsU9+x
zg8+l?!z^N|u==W8xl};}($hsK6*cnElFPzPeys}Qweb#5nZ@9BVAX8Bjv`En{mNd6
zQv*2;-H2;U65w4ievb4;30iKv`?X<CfM;rdGo6wop+uaG3h#siS6*NG-9H47?)@e^
zQ!WK{ChNC{MpQuIP7blTkO+6nLPB)Aq#>cVx=QejDikQ%{*?(=hmPaxhyME~1Km}2
zBX4`vK&h+KKj^v!gmwrHsNv<H?b@N)loSHEaT4!I7ifZdzo+BL<MP0j-}3T`ED`+u
zRmZ|dwBQ9(&|9N>3a}{je(-1p5ma0KX^xod01DQ<-cYFs-hu&dd;SpNk#W+6x;MJe
zte?-v(4qvjoQPOQuMRDv^v8-_^}$7o++O@z8EP3bieE1gLBEdwD%Yj~*!>Y)YD&X_
z@Yj@hnQ|fovpFZw<r~33Lgql0xe9QyO$MKlCj$GTIksYe!8<<>#_2W{P(!G&`wRhe
zua@F;JOSz={>4V{;=$ji)URYx74CG{xUKV(;GLTZxmp$vH>t-Jn2S_ER*u#&q?!bx
zZLNj9>nd>WfVcM(c4fHYSpRcQiwv6uJM^~`RN#_k%*Hbl1^5u{UN)aahOY?>d394b
z=xSQM6yYul=?}Al8v4o5{uu3h$bkdB2J7FCgZKJDwMLXgZ366(&s(ohD}(x>`v;3i
zVvri?{+fZo1mgOf9DjExLL9^5-@ns>;QnVT`Ntd?tOTe1LM|x4@{ho58b)4_)a=;x
zrI5knoK4d~I(d-)U>v?_!w#498iPi!075{$zmlQN&{NPXS{6d{*P1R@(nE0dh;E$X
zUT?nc|M{9)28{33UY7FT!R+4PW<1+TVBX=cp?zHnR6;CLjH{Qh=9fCBSUpKl|IuJg
znnn_+oz^qi_{Ok7MVg6}6#!M*OVc@WVi1Y~T=TX+VVCu5-(QXf7!%EURDDJm6xr`n
zoqzv?a(k&puUG&e2}xZk>=uNzfcxGKcfL?&-3Dgq4q@;_!z1mwFFy>(X?#tj^ik-k
z&4zHn#sIt%L66mV;WR}w4@D1AYLnkibL1HT{pi|)fGjrz-tv{ZATmOE&Hi7+wN68z
ze|h#ea{>prtaOCd1dULBQ+q5A(ip<x%F5aML{?Dmd0HX-b(rGf#N>C<*Z}U*-*^cs
zOmO?v{o7&TLzL3gwP#!5`Y;*!BhNmR9-^xl7F#TSQ|^@<KN8cX2cNaa)RF{f;b=PV
zq~6z`6oTPvkI#I1aBjKp?eTw9z*An9$2<O&a<uMNQ}$_H$UpN{WY=s53tSs84SD*B
zBKwKY>LEo3{s=cHUgrFVJpyN~*n(Ed&Oo3}wWtmx2_07Evs}kc3DCF@b6-;YYxWz(
zUDt*NpXJE?qbnF;si!C;FM^^WZIH73M+-FXSl~7KmoS1^u>%XP8Y?giG-*1d1@mk}
z#*gI}vC^wf60hmrVEvbOdEYc@LaQ4aqjUW{_HkqGi#X{cc0+qv<10}Uwsn<`92EJB
zi6*puxv9{D)!n$(`KeR`-0XxhUhB<br?hU`iHrWge65%Fa7Y7=^0`rQG*4qEt90~E
z(+^-r*ORQ7i}v!w(9P?6*%a0u%ln${(h!DXT5fX4s)NRd0vYLvNo=6ZZh3oV1k>h!
zEEiu!1p8kynDxa;OvD;jD(*LiJ$y3m6r@fBYx}eHTL&gF(4rM}*qXrbD(QM9jRZL2
z^4f&iYZ9X)xXFwaOk?DM;SpgQ0?3<KFL}P6#QY7~r9)55VO86m*`ZBp(5`kThSqKh
z6CnK+iY%JPoVqU8Q_ZRZ=Uhp7pTsnFg^pG=NNExK#UirvOk5S%FOM8<SD3*F4HpDX
zwl87HDbt0)&UgsPYHPl6W)^GX;_&y4Ucnr>XrE)LDsXisB{pez4)fRaHvi?dhAF)J
zRLuB&kDF~HtxB!tu@|vRf_6R|SZYm(bh{J|(z2q|&zmk_jyB$3>ofmhG%xJeZwD&F
zi8pnFobHR*wG7&IkM(UV)-V9GZBqgo-~CsQXDnfNmb;#An^VD;RL74xGD^_9|DIIF
z$}+}&>EGCoXVl=CE4q9<N)fu>?2w#8SFzSpUYjENd;DUjoxC=y01TA;m4}M!m_bTX
zo984QctqDdG;&vfSMBNhw`n&qjzhuqIZX`UdVS0(vRfW*2*|pab8TTNeiNHaZA>81
zX;!FdCl9)X`nw}`JJ^E7IGx1~3!HTwZT<314wMQv82h}b;3dB}kKH+TNb#MzM|(;R
zBroSRr@o;E^@+l15-S(*2hJrWZ^^=$xe-HtGg{bZ%++mkgB$oa8yiFNWWj<eFeh)C
z4h&sr&bo{6LRjpQ;*^yvwB%jwYG`19UAOp)kNWt)Uf(CsnL!qgoXuPz)iZ%c^l!tc
zcLES~*>>Q1mkeC+&3bAx!2(&{wkf{DLU5Pv=7I1s8R*aa6lZdf9g3CB)Z6hQP(Ocr
zZD5b@uWs-i{%?j8{O^rBZd8ate)*tsQML>SAC8=CKE(~kQu8k`X-EPqjkc+KoebRX
z=lEs3#seO;g0ap|q@c}VJkN4j27<#V{>Bx2&{VPbtjA<;H>4{tJ37dMmi?s~o;U%>
zwWyOG+>iyzYDuroFIlLSyr9>eAOyq<uE&@@%EQel<AjK0IXEJ8il~Kz;cJ0sOmm|m
zlx6>|PmGX<%+&%XXHhZO>?+6D+V^_nL<=RkLIHmBj9m|TAOY?Px&}MrD&QHQon<er
z1mqTD^aCdaQ{lzKc6@4JKawxIGOi2`wq<KAS<)a{jH{b3B)|nt{X;hx@nA{`ZEe^m
zyO+-*q|6#3JZEj(P>ofCkFvHU<Wf1vkMzuqtyhPDBA@9xy}kEtwvX<h0Jp5ytM)(A
zfMcqa=>vcE_O%hd+~e1tZu88k`~I46hKnQ|^;Q#Nb%(q<0+iwFPqE*dbXuS;>gOTx
zT^rgMuKAd*;-I=~!|9Nl7JTxhm2l?QgNsdU0iTcKAwl_hw}#gqXPkI(GAz&l*rK;T
z>KCZO=%g1Vh;J|Nw1XIf`-~u9jC8xDObuAG#J4G4d%0#GyUi&DFk7)26t6=7<rtS5
z7Y7X}^uDm$ZAOCa0Uv+UAOgf`7u(2>5~00bJhsY~3^z}_TfVusx4qIRXT;<Qa4M{g
zs!ZDi1~oQrmLDfTXuEals;vsd9On>in==6k`^_vzP6B-Q-Lc|kP=s>te^WXaOrd<^
zepH{d+TLCXf2DR`1`_#?(td9;g@<D6V`4pca2<{PEp$&DI9S^$dVQwQ;VhUcZ>$3R
zF-=zLt^$x?$$MJ7%@hdNtPI7@D??-eY2;iTJ1h)-`gAwe6kMvB(p@hpLXn^=Yfki@
z|4tNjP;jP@eakh6cv2o5D}PGAV;{x3qys}_Uzh+qT25d#l?8!kkAz<94pIg|S2~ek
z0ya-;%roSq_qaWEONDEVQklCL)L2Lcu3v7Suk%R4YVW{~iVHOg$F<J$bCTiQ6}tV-
z@}iJ*M)JUyDtfeG_l5hxH4;2ueUn=2wzp65wsu=znNYJ2Ny>N@!2b7LtGrG=aC5D-
zvfX4srC!FSwR=3)P;{$Ae9!+*GUFmFPHafox<Fd;H3sKu7%se@XM>s18#d1T?1=xO
z(4QL=V`%kgj(_IO2(OZdq3$F*3i%M>T-Id-Z%pm(s(R3Xv&8XaNl$i^K!5nN>Wm>g
zq51xMsp20tH%J$7R)rm@4^MNR;4_4|w|-U2QA=3UD!GN{2OF{!ovt`%VE_jzs3yOh
zoxp^=Q>GR|*ibD`efgzGeaH^VTk|RXhMg>$5n~WzLyr^2xhgvJAY!wdFxeeL33|!1
zPqLF0RnHT`ZTIQH^qX%tU%mZGIr1N=_eL@+>V0R~S$AF+a<5sxkFfhgVLX3o(fa}`
zx}U#x)45Xz4*Tmb-S3&97;hK5TnT1Hg5)bFtB5+#?#tc%&SH_WJot$RpT&v-xR(B&
z&E4}0`Q$aq=M@T@ZiBn<A6B#-6dJ0-t_@dW(@paPHz>s?4y$Upu%YwuSt@<EwBXjQ
z%iI+TTa-&_)JGYY*^q+ul#x1>7CiH{*%9H~r8HZ5=>KeBM>v<(Yf?8gq4}2hU6xrY
z<Weec@%<SGs*WAkD`3_Hw~K+ylly7V;C!2@!e>ro?k9P_DqRCgRVE~k6w{(lU4nCA
ziCoD1jm}A5B@M_%HZN3n=+OQLRG%GexzXcq->Ao%)ZyLdK+8YJ7*J*NGp^5yJSY&a
zi+A==2kEn!HI?m*sQ1^q@>XG9^hs^|)iRwrd<mA9yhmn654kvpg%$V^_t~6&&PpPX
z9F_C2P8MY3b4#erh970LKB{K$Bm%=#(?ciy*pR5)s&jX;0Lr=SEoUu4goQA^G=F&x
z)EI;}JG3l_WD`}GefkKH^z@$W%YU3GC$T}tGI$?)S>$?a=OF=3t~=N1t#hGaPQ#xK
zydvoNux`@3D+CZWvb^0#%YzbzxqnA@i=xo>>kkW@2taobH5o|rqJSPo+Cw$sh<In6
z5Me}sii8vAUpn$3wd}Ai4L3<-^55jpO(Fq2j!4%e=JKQ9t<J69b5h7cW87w9Z(r|=
z#(ns`DS%9;KU&qsOCw*^!AE>11n?I;Pl*l?LPe_yp$td{%_+7IB%CCG+}a@z$(?=Z
zB7N%1Tf4HzG@<<|P5K@$eW}!(E*3%Y3{Qv1R`N)DW+9re_g~MPDTc}uV(7kEZgXmZ
z0<vy@9XhK+gzk_az6aV8DAs(abnu@d8rdqP;e1SlmiFef;zUVwrPZq;!c`evU@|!4
ztfLNXQO_;&6Qqz!kW_Y2B@WROci%e<s6)h?%Q6}1(&(aR{z2ll3OaQ{o1Ijs0c9s7
zv-cOvpf=lFhAu5t^eWjRwkJXpVzx9FKUK-1Z(AQj#%$G)?(@5E*}}9yTIacIMw1*;
z`z|jxCq+R2-g8x~rE0_TozqY4-^-)iSK7py8wBKS`-&^HRR@eGwY^#2D<GxdU<Zz7
z0ur^DcNFK)gSWL8-V+-X5&cR>>)n0=!qqw$FL~>OH%|EMn=~av;<N7#?joSO*K5`z
zI}G5*e*^zw9F@`gxVdh<R05K0a9Z6U7{L(-{w3!HWmJ!2wq8~uAnd4;-;pF^NDMwJ
z7T}FT<<rCCccj#iqOM*&?Jx$4dJnG+KE<H`h1F6*Ivx#_Oyn2b1z1a?+xgXsLw?;<
zrq&HO)DSpHwIe`+>Sq<goKJ8_xF+$}-8>~kTfP&mb(aLeN`k1@9fz(g1aYp~DxhYn
zt}&-c68QEVG&<I=jK0)A4!l1qi|Y5sJW5j`1LwutLUDLy#MQKrqaGlQY&R7%&Nz`l
zwNC9rx4jawoU{>$p_N3xT=IE>y~yz4SJ2@Ndqs5WjkICDhX~SiTKIm-jSM>nt*!Dk
z6;P=s2X>4}5It#a<a%L9hL>#5uTSpCp^l^{DG@xpNM$_3@;ECQZi@t$3DnCX^Th-G
z!-Aa1A(T%lqk{yh5l#sTzA`AWeTe753KR0ad6+dZj099i*FI+mNh7|kmyJV>v?!UH
z*J!^22{>Sg8`mL;M2~3NGkn{jP-XTN_;&ylbp<8mGD;vt$*`EjuWOWGyZY}IJ^+0a
z?m+@6qUec=@rxr)ixi9E%<5`-fWN|{#{5RY=rmpHM4!V9MdEVF<-=qQ{s~FFBC`mg
zSDyM!hYpTWzV8p?F9|UQ=|jCM?c4k)Ui3(|0Sr^D!^r&WRYs8ExLOvoj}Oho*xVC%
z`I|!i@tEfFUqd)Es`TFE7!Rt9BMWvt?xzSe-yfM)GX%9Fx%<D~bD?V8wza_ieo8}3
z)W7av1L$!dKfck-f!;=3Pw4OaO<_75`|)C<KJZpM`DGfgp|^o!wWg1TC=8Wq77J|p
z@cqXAUa=i!l;2uB`Qq;g#eSUK%-TZ_K3JIFO=Vz0k-15ut&hhjb6VdyuGQ&+xKEo6
zvSmP4Odc0;&65-+)gsMv{JNlI_v`I}?{uhK_qIWp<SfOk@6kEh%Q|2wN^duwNsB1A
z4>r{vou`NkOpM9*Ys0OEryc(BG)RtkLyL;MNZG)Bk9cjN4d2Ex&n(waqc3Hlir0*m
zDObJJRG+-if^wzRz8)rOH016}Cup-uVaPu9V^B#892NxMplB*Y)3w9M5xh=ec}1AB
zEYt)w`3##D92K&wYMrU8+@zG?&8okNYC;hFT)H#0OJQ3z{o~HCP2o{-h>ytCfc{ua
zP_}uOGHa8;!f|Dn(*NtO8A(zDqRw6EEcm%giRt?J<P9A)8mkDi7AjSTC~9847$GXe
zRwtj7dYlG{lJ(?SG}R$evvV}}1Qj|j9LF^AkroxVM*Wd|Lxg9IabfS<s8C{zo%eYs
zdPFOIsN<X~5lV$6s7nt}BiHm8ae-9^BugzRNWVaUd$-22g{P=dTHrBDsv0IVGUG<g
z98Z9H55n}(M>Obu-vP$hWEOOs&vCRsjR2({e=e?t)1tzv26s{#8^YE;9p8Pd2CARB
zh?L88Xy29BLvs`k#FwBb)J~%Y2mB7JbjQ=9qo>~Xo8I9<;kAt~^t@DIpoL97yOjZ@
zJYdhy{m6|*V+Cm0KjXoT=ED|6k_oYm`^YM&@FEtclY(*w@W6bj?vZ*vGji4PG7x*j
zhhlQ|gA+fgK)EF0oVY0~Qqe97ZZZ}?OeZ!*5>Kgsx<te31UEZc)4=6AuM47wmO_ML
z78PKAno^<6%8Aknggkk^?n76D-0t6Q!a+v)>`(hFF2ts2C&St+g8mjWb6VZS!9gF6
z;oP^}$iQDLQG!Yw)ft{hw)MlomHTGDCs}z>(toPQrWGZTV8HCyk<&PExMaKY*pCl2
z5vQ)@cuOH(S*0UsVK}JFWgZ~U@S~dAl_AS|X+*mJd_B7w2QyV8LX$Cq=;!|W+l7*{
zNa(LzStz>-EIqY&ool)e{YUmb_&i4rUCh$cf03X9-<ab&s3k>^WviWOwW0ztaCp+D
zhv7lhd2q!@L=5$OzBBRbjUr0p-ITPHQiU_s#{WKONuaI=>B(Z}l+i`IGFevxHPGja
zZIFK{iEKt;ds0XRvClK=o!?IY^HS1jnV~)1yO;i~wBQlnjS+`%0V42@WUns^$e`7^
zzBmRiH5C5&>NY2%Iy`>=1~=g(i$Zm)_Dx+PpeIZ{C!ULH08iOB_v6`eC>Q+Z8I_5s
zRQw44mWw7_7h!3t|1FO~j-N~X*g{0SITtSw>$Je*cI^W*Nk!yuq7=?#sEz~zvv+&-
zbwKR&aduNDC3F^hI!cODNA88^MLmA$LY7Pmp6;?Ta#molb$_IevMm;jhLiQd-t1?H
zXxLs)-9D{+C{`WW;!WsST@7KYNi^lnF%?AD^QUMYua26NQ~mZ!7{j?D&n+8XJW@^J
zxY(6ML|=>O(hvT^pvCrBX+ts|**vK{+*?aP^o^#(*+u}xdyko&zu^%bqfW~)BQ>O<
zNuT1kw-=62)lXXez$0RB;o-w&D#-NtTz97g8J_vjb}D4y(YNRR<=L%DXq)Ah??y2h
zikhfHL<I1Nm+azxuTmb#B>Zztr#FFG@vLNa2Ne`lu2zs5DT9V=nwL#YOyJVp4z|-y
zI28HeZPeN0lIRf1@hNaOfoDw2-6gWhXz}c1V|=YJBGegJ(YlyG$fKvLU)mK>xuBef
zk{~~ldiv*xgoX(;s|w$1vr#}1)BWk2)Lf|C>fW{Mt7KTGKYu^xKRI;QzNTlGixE{%
z-|?Y+L<VgB$WxZRyR7TIbYA$~4&`~lCB|#!WcYdDf;(-vH2NO^0RR6Cmv=bUT^Ps9
z-rHmEy*-aTf47lQ8KKgaL`5YDscZ=;iew~}WQ7Wmc<$^%LdbZnC`7iVy#74rk8`eb
zUHAEXzTY59+h_TeMe6n2b)ybLX7IZzwZ(N@5_@M>Mnc$!srEbj%j~?(AflCFQ0;*@
zx|Pi<_ANajjQ$SUq^to5_f=h;xhI0TvvDe+&O?M5ZH8TH7{Co$z5F+If_Uw{0i`DV
zE5Z51Sw@x>;APGMPc?oLCb#!RlyZD08Y4vW=`{%8Un9jN-sQ#Tbairaii^a9cs@Ro
zohiJ!k}q`4o*V10z1>GXv_wd&+rPSe&IAgZC5~P`!-0x3kJ!WdmxuwD#IBl5W0<-g
zQ1APQ1?lYMN2gkrh@+nxx6ySN!LXixqKQ5u8Y=RvIXW&8Z%3l85llu<!jk)OS%D6#
zI1^1ZZY&Z;E6rp>8$)1xL=}ARvlWj`(Kzd8ED&$SME4ckFaX^fm6L2+|51M)e$Y-K
z%@d*l5_86b`oKybw5nV6i^{>bp64+zOK|c$Q@p3958D)?MA%kWsdm0UtmD#W2+I@;
zrHj#eK(k+Lss70l^-ET0n#zeOVp3WBQq;IE>}t01RF9jdvfXxSn|Js^IK&<?zi6oo
zhPy?sbVkfjOI`+)+}=My{QO}SB3P&cE<1nKP-VVQEo>hLy-pY>>I@>@D3Nr)eDp`*
zoa;E1k!~qHe|D7k@3{H>;Am~=|1zt*RdSfR^!wRt(&8{te6n`!zn@xAWKge_>idc6
z{6VSasK*eYmhxO*#a9bT{NvW5qPwXRwUUDjngc}m!Tl8`-zXrGo7b5f^PYO;lt}yK
zU7rZ~^QUN5PEw%yveSR*^37DXwbH$-4ZXyi{$($XSu$icCy$!fAa&k7<EPQp9^xuG
z`gflrgYUfIn8uC@>Sa%XTAHMfL@NKy%*NlEK(C{mYxy&e`tegmk?2@A(Nk6XZT6}r
z$f{-Xl_lMv^451d=lgXNH$KcZlS!J8ezRpHL+2*(`MG0(ws|+9X*&|}$58`@z=2M*
z>M^nKtG>H^XE%{EJ24P&NgWs)FUL*mJtHE5g=qv5yNUM|5x0s8)c{LV>7I+eBt%7c
zZ5>%Y5;iNAwim`!VW!<9_P>JHgua8q*Tb(q62H8wWeP=A!RP_=p{pB6oL{Uo>$=}V
z2x-)nDIHRQh4Mo+H`3~fZl=oAudjNErplAw+aD@}i1JvNt40&ie$Uw?f$bBa@#}z4
zz?>3%QEQ-dx3&;td+xG&-svZH&eL{nHBo{jVcDQ<7h4I3XRJ5d_YV?+g@UY3Ns6FM
zKKwS!>^<S;w%hB!gZ~jO7ee@LXB2?;i+(v%>IY)4)ts(>_6UKJHBaAJD*)pgx_lkk
zE+R9#$3TLAj40Sh=6szm4-_NaJuL0rg#Wp;lF`s{g8AY#E;=rGczo~IF0VU1MEU!#
zT4lTw#QpLJ^Y~ynnEI*_cR0F_pv=3cZvQw*REJAS8c)l@bd|uQ)%|{=Kkl<$f8$p|
z=0m(C?Lk@K*N<H7m>wiZbagaxbJN7R-TR((bjiS>_zPSl?_t6@X`k#(hgqUzo3Gq$
zI~kBs?1&jm9wib+oT6lwzY|6hHP_7Bq#<r9hTfkvPE-Vjrn<~85Ka$vo$Ixi2Fc_u
zC9B%cgdLB7=fL$P;+F7}<{dp!a97vmPj2EQ@#pb{2Z#5p5Yk~xNjXQP;AJQW^TAtR
z2|rgm=QPJPLcOwKYHCgr;!M--=eJA~O1nksTEl)4@{&}FVwfbP%x5UO8_W{$Slj;n
z>~F%BvNt)HBngvpEMsdk-wEK#iIm7#C$cPAW9Z!_fSjiM&2njhD5?%u3bx$>UP;2C
zqxZ#O)NV`NmeeI8rL{Ou_WM@oGI`8T_f-sHWA@K*oLC{Y44rlVO{Imhz!5q=eKBbI
z&w97@sWpOf)#c_;Jv}@=$viuDTNJKFu8+|_`bqqGe?M1cgAv4^>~ISFBLcUcvybTt
z{vlR=_RxI@WPt%&>k%nm5xDq(ZTZ-Tb%N#I$Z0ceb`X1HZW6I941rl`0d6O^fTZv{
zvnDYvNPBxmB`Zc4Y@BGNGI?oW<bCdif_L0t$!5H7O<frN1)LNx`bG=k95x!$IlQ22
z-TfkaRtU(X^7fxA^iZm3BKEnIAByW=fAVS&g6)3k$v<_NAgs_%T5DMVeA0IwUU(%0
zPA(p*jW1Z>&xt?cnZCksEMq8kqDKhM=FqI{@MnkLaMoZ}O$?+$-QLTK3WJAZ*Z7nv
z7pP9J&rJzP!n^TDt1NefL8g{I=<GLcFw0wOv#*hY%((4zDRv^TC_}x-S<ef1$T{Jw
z*JNPBBqpiaUKAt~WB(I)%MW9N*^l@x%YpV@Bfb15Vj#%$B=qSPLD<S;*1CR20Z6y5
z<*%NQ0Di}kiZmZ#;1vuEEc>Jcdn_EBCc7jdK{P{#ky8vjM4g#VnW{pJ&YR1N2GU?G
z$nr&TS^`=pZY&Shsl$N>t~QTXWq_QWv(Mv-6cigj=V&d~gz)oepN4tl;k)ca+mNIT
zcpY&2%e9pPQHKZHYqJ!A+o_8F?vO0B7nKgAJ7@tz)!nM{$11?7+V2rjBo99CRld>O
z)P}?3fv?3W8X#Iy%Mui)2%f<Q<$sjwz?{cT8@0z|I8JW3KXY0c!nafM59R2>x4g<u
zgCANDS2x}8V23IcNu`@F@74n)%NC#4ak_vri64vk)q(f7x>5WyJy5?=9vHOS02-g?
zikDVvz}(^Ule9T{K;jTR8g69_6Nih^Yg07AxJBv2fS4XE7A$J8TM<yRYkojhi43bg
z`R%MEU3h6b^;}ED47N4v9umGu2Fba2mS@+sA%MSfkN72XVD0}s!j5FHIp(-0^Ew46
zOJ+*k&n@8cskq3p3Nkck_gOfqXhO3=FRj-zO9=ho!d>S}hJY_GCKx$XAfPkWJpRl!
z5Ib}BfbF~{1iN{K%tgyVvX-vtk%?_k@quo+NLLeBNrldD=p}*SRYOufuN9mNaC&W-
zsSZW%`aV0-`N5t3io#_YE7-4nG_2{0DokBE@aD_r{K9>~oYq&{fNNey`mDV2=G@d7
z?ehLkTn{MSm1DCFSQN;atc42T8|{2wBW9YKv@2QqOr<55dkyvoNXUTz^S;a>>Q?Ny
ze~k4Oza=zv<nDcPTN)@r)^5oKEGRt7r<Zfm0=^GVWWL+v%Hv6ECWSICTqLSJ*<YK(
z7J2o%=qUoBLo`%9d0u4qX0zt!F$aO5ZL>b(B%o&HsJr#@;dhJQI*Mn_fPCdl_Ui&3
zupEl~sW!)tdF)Jw^m+iE&IBoV#IeJ2&BNxw8zfYso4GBr4dAVT<EV-k17yBl_X{2%
zq3y<=+JP$sbUALsS$A&`slpaxL(?RzleD(F8)XV>IX45|l2(XQL{HahCkgK`C3`B|
zGXaV7NA^0feI^dh`0qdch=dI(E*5l6#<0clF)jbo<3z}wNs5g(3Axe#?t^tBsC+G+
z())FkS}|(W5vN5$s~0H=G3G{aC-F>EALjzK=bmz38!ZX5y(`{&+%|;1kgC>-@ipqL
zchuy{F@8*Z9d1OLH-I?Z<^2`(>(ts`2F({b`LX(+=4zgc0c5v`bX>C8ifew4cWv$E
z$F%L0*IeuM;pP30fe+hh5mIV-{1^GL!A#?3yrDkS${0s3i!$JS4~?TnawI%w%H`it
zr3WW|w&mFX6Mk4`4&CNQLI($St&gAw+w;e7lmH99SbV`E+fPC*OV86MI&`6#$-wZ8
zJR7clw-=M&FMt-tqs#%vbzx+_!j<(GJ4OsT`FpPlAX$&jZ-Yh`=)x~{xl%cCEuE!$
zu|N?096C;k<>^3WS$rv#%7wok?S7XTEQGZsmxI?`bbz7dmO%7<ZVYH-4L9@<#+i!=
zjibyu@b2x2fuL|6bjwOBitrLa^IunOM4Gihd3V&EE-zl(uD`N}H%b&+Eu$QH6SSc)
zdV)RHg%3Sec9)&35<^bEd)#IRwP7wt?v;xzKW3=<eClJ6Ky&64U3DF8klgLJQEE-X
zDSN}bY8^?mNNR)&g4#gsjPD(E6u^MG!6R(Tl9=yS6N?PmP(W+f)_q(MM;CuO-+d*8
zQpAa8EnBofpWEHUB}NDxxivf8;-!(A=4b50s15m=U#T7C!dS~wU?S}ygN-v6B$P$8
z!HRRF`oy9L{<Qb<v$l{$&*<VgNfT`_UnsMgG7v*0ftasD@^W~D(d-D_8Ex>D;)r~4
zLmWLHyz-A?lgBpIiOD;~+Hfa3y^Q)@0`GTO7M)s@$Fyu?p6HFu_kPfrH7}Axmq;mD
zqDujH5*#_MM|GglB1ZC$hZHvL)NvpeDx&c~g!RdfI?(;as$5r68WU|5+Li;A&}SpV
zq}5e-(+f?Hb`MD-!;jB;En3PLM0E)@{;ms-Ra}l<sWKS2+;c6ZUl|`dw>oks>p`DL
zubhg5EdJs<m&4+rf=039Po-@2Av8USmw&4qZpiy6zi(H;i+v}~R<RnuMk1+YPk|gp
zzp}Qj=2pcC>j$S2`VBy&@%YK_*76vsc(YDPMHQR3_HC^!F@%E0jq=sK@@Nsm7h^(F
zMF!XUC~BM$(Dt8;O?6hl%Kq&i^ggH{tCc^I=V=Uv#s?dMsuhs2CT(}!UKRZIicx}>
zFadkD#P}puMNHI>Dp7f=jIZhod`@thLXbqGb%2>7_Lr2HT<=ms+OyO%Y~7}?CH>(H
zaX=AyQhoNewJM_byaP*mGyysa(T585Dq=lf>aCb81r)J~;kd~S&{ENqrlPBejf)3_
z+IPug!ripD@-6_@JGp;v`JsS`-)@w=nUh7SwGRfau>gjD%XP^a3OM7Guub)n40ezw
za}SpS@KFnMB4ib?`UcI{pES}~uDqbX*aD!|VHxY0B98_E6aBRblDI!z#oe?Uz)4Tm
zcW^-t*H5r|7Fvm;K|j69NCyDT)ef*Vl*3E9W>4r+L{R6pi(3N~pz+#MgZ&p|F=INR
zHk?}s-+wnzkjw!vm5y5Mek_A5OMmtDHIVRDnD}-35P$?BJF)W}(&#o+sm<_$58r8c
zJ5n70{;plqYFm{;+d8Ko!J|BgLz;QxLI6Up?dB9wDYPW4>iq1uQNXFbOY1cOwE;J7
z=4_M1`T8e0g^Qf1#+k#l&xnBi7X@3Rr^Pq#`?ALx*^#+P!aL%HDa0>J@g?pRLpHUs
z`mzmHe7Uzpsa)O^NKB#KJpCfrRLJ`x@5v^&{vODCddCE;?MJ_^`U;~$O}Qnxgc)Cc
z7<@TSX9B-E8^nC1gmAbt^0_`cGamGu#CShr7`dEfK|d>iw9{$EGnGu(@muIj-l!1>
zj6Qo@x9J0FgM9X%d?w_T5%|XBXaq}w5+SPH{ODbNu6+0t6Nbzxu<Utb2(ex{`d$ls
zm}1xJG-Aq(t(;dz1$7KTv^M^wwGtmvJcq86dzo?hWp4VLLIb$90<4}_c(J@tm479T
z1=$_W`aYF2fF*MqEA?3(j6L~fMd>OluH6x?QhB5gTo*1|%=`18dS$djaVi_~&>bX4
z$m#>#+pyhVNt>L!x@IHW#*W|HEfN;;^}wt)ea^m<8wWabb0?%YF=O`c`4?Jxz!tJ+
z@6kuxSYR-%u)2c_eczkXGS+S8sT+(X$F6gueaWoe2#Fh$Y!%lOck4oZNWXDGJU6!N
zbKmoPar3-aoiY38bYLxX<xpleH!f82cRm{8LGQ9@x$!t1xXEEC{qh|*a`J|@^L*k(
zWQ(R{SJwfnE<wD(%!4^?Aw?k*n|_}WzpL4&4I>e;zuq6@!NVcDw_l+lq4r!BPtjFv
zu!pbFh7CNp>*~I-Qi=e&exYxeHr5869Y?O`6TFx>mtb3SK@d+-R>ItVYk`!(SqftZ
zFXsNIv(30o2=f?@t|U{nK+q!9z}}A!&zS#-DAg6gPlLNY2`6a5u^PMkQA+&iWcc-0
zK)EP})XdP_Ii>{{|5Yegtng!T%|(j}8*x;1xuITdp#@LM#M<Y&N$9~GpS5E_0>ww0
z_B*O;!G%PNa<ygw%$o}-80e8igI0?)Raq_A{lRqk_<KPd))7`)e=UWx`vN%h<h5X-
zY&8Dlv=GLIB;IN+l13fpr=uP^THp?(u`vM=9Q!s+FPbBR11kOX<xX0lAEECK`$REM
zAZpzIfh;~0A8Sw#)dKl9j5msl#BgUrQQF6ca=7o^-}$a;E#SW%==YaP0=1r7NLD<S
z$E(c-r_-3V;Y;E%T5EGjyk=>kypgMb;zVJU+evNc{U!VF5seh`4vEaHK2*eQL;5&8
zs11AH(_A!dkwUo>Tp`9ON*FMZ*OIX55j=E6`Am{DUgx99`WU2)k7RyD-ubNqN6a+r
zC<kTmgJ|&)bsH5FIy^V`GIw*Xa{v0P$;;yQhx(J2>niv(b7Y75aXpyRH?ny=D~lYV
zTnAc{R56eHy<Ud4K7_a_9*ZfG!w=;1dEOhUIPPP*YmvtQxI^Sp{N3g8z>O<cNuY*L
zhGSoQt{XsUrPQfz76tr)e_h<|)lm1+zp--*hA`j87C7@j0b@S;%Pq^P;fn!|XWd_o
zAfWKGB8{vfhCNXU_*}1wVqI5;pA8$s$rhh)*Ao<xvDi6LT0s@9!hZ17b(jGCvU!m6
zpd#{D3(LQD-1G?f;ZRh$DU|SEQhdmwgc9v>F6$P`xIeMD;(8nb0`G=>&I>7_%Zn2~
zPctat@9%=Kld=E|$FA(Sy}1rs*=3x5UjZGI4I57f0-SG~<gDyeM5F1G6~%&^TwibV
zmaYa^F(S4lTv9|a2W7E^OR{Kr#`$OWcYsS<w_PrwSH#o)??l8tN@L0B3iB+t8Mr&|
z<4*HaK;fr`Bdsb@IAkW*=Ob$d9ZwTJhBwON%aW>|d?5*3?vv`CkT(MlhEv_zH1g=E
z@H+Ixh6vh@4R*N-n}M-U`TkK=Ih?N04H^>=!Yd?RTE#79z$;UGWx`e#r?h-zmwiY$
zxixhETtC3t{y#i9hh#80#(BFY10RmeH%}kU2Poa1Zgap#8cCVnm04f8@u>CLLUUgL
zPS*R=>ldX^BFJOACl41^_jFz|(gav6e(owBCy8B_<MIz!*l}^9zrCb~fGby-9=;+Z
z@L;8ceQq!do{oy$wQNp+T#<cv{UtFB6Ju>v^I^htyWYKd1*UL(##^DJO$5ziT9PL}
zGT>*S0QyfHrZCuA%sr(ejEqq#hx7C4v8sbNl5)-jJ|rva{jCy2y&fW5WrPk7Or?4V
zbQ^<pV!^H#n|W84toZE0DLO1(wq(lIF@|}^L_$%Bgq9uFe=W`EaED-RT0xo-JSuv4
z`|~OvGVQWCWVN3T1NRZF6B~x0>LEI~y1<KrCrZi;p3-5BP(o?X2}7uF=1AaT;YIq;
z-Q!!d=rK5&^URlz1~B|pbtw~gF!Sz;O!g!_?r=Z%@T8>y2yjnieYnkyXP!SJX(I!w
z!u0J2FZIFYr<XI8W|QZFcPB<`8L{@SHPNW94-xP3h*Q_OFyYwMgEhlU_*XUf99@AP
zJi^^gZ5mw2-5;`1EyjZP+pY@4E9rqwlx%-{A15xIcL}&1%!<@oz4MVzb>WNG$%FBs
zoLF~W)APv+8?KX{)(h+E0@Fm+1kY|xl=7(3U5e*G=Kl2UA@w@ov8qzhvxgH?GL{*F
zB)M=<K>Op^ZXHm0AL@8Hk`n`?K1FV0;l{KREFB?p+Th*ss%oa66R)S7Bk1Thy+@`e
z?!;+B7W?F`2dZ4?6`UM*iGvqS4!3Fgscq)oeu>_5VO;np@mu5#Wj=J`U)J*K)dJ?7
z154UdT$p(^T1so*X5P=kv7TrxP%e}{)^lvLrB!q^p2#5Kp4==yRbwrvza44jy3CCX
zq$gX{mjv+lduF$(UzE)PsrjY<4i7dTKh1ODun>m7<72x^rGP{1y~$X6UbGwwt|5&H
zW6;Z2M~4z95MGwTpDWCVZ>?X>)CG%Tj5q84Q^zS#P7b)>|A!B0oU|T(R}n{VRx?{R
zYYMbl__iBu_Ov|@YX)jpBv2=~to5N51<uCBb{hWO{8w`seStHQc-u!=Oiq;oFHhSf
z-V+r>s65s=I4Onid>K-*$rNxKmtFC762h885}w`Pq;bW0cwToK1+=F=%Ou|u#sK#?
z2D3jh7;ruAkMIc!MBGWrc(N{n{#|qa2|RM>yZoO*d<F%!8*?xIIwywl_YCjd(vU}^
z@}x6wM=4-&cJ_$hFL5ln;d$h$g936qkzMCB(1P#@`d7xbl4zW=ec;O(MGQaL#2xWi
z3!42#Ont?qP$;0%^Hi)7=3P-v6I9R!!E49-CVog^{7H(;TADHr-{5kMtJQ|}pL;Jh
z^-AMlTzE!Sx(Y_A`*vyg=)mN4KFQvfGWgs4Y+6N>Di#Fpul}r|3$_aR7Dw*NV&-`T
z=LJVKv|GC!J;tO5J-oJ@`WNKTG<dKo`G*>o{4vVOS=EDW4Oe;^x65OIkjLR}Uv=c$
zb(p7ZSsyNXY&U1&S3t2$PX?88b?ln?m(8%n5Y~c+onCb)V0hoN)UP$_c+eq<o1J6?
zW%6%(j|3<pNpr36X|y`V*B<RF)-;AD-xR%QIwiDR9g1RPR>uoXIohkXCcsEP{%!h#
z5+-TVXneL(L(S7Wr4Ju41^v#*i?5rMa5`Eoa~@Ptu0>x-?Jxm$rq@DymX%OC;zV%s
zA7!-o_SWQ!96;=wizeTHE8+6FEt>y@C}FnxuPeeg0URDMQriZU&}#UIx6H@Q-l66F
zTyYBE@ENbuZnu@to}s-fkWn5(>`zK6YM8;)kw&{#xlMmZMxGv#lSLP^L5VqcGq}Mv
ze|Ar@BGT9StrZ$e<Hg%zhP;txu(48_;WVy*6_VE1a$F_RQs7kX>P<5k?l8@t;#I&e
z5B|j@vxp%ntx)f7oEc=FK3qDiCXb=Ii!FEV3L(A3;Fl<WGiWHQ;dRxK!`wmI&V#2&
zC?nBi_Q=5uELn=3?`X*4dhmrD?>Juc<5_0s6gLB9?UW*_lng4=PE%+8aiOkhcjD3*
zfQ#xgkrFOxH2b(+Kr5LYxxY0;d))&Fb4h9I*dm3FG-Ri#9%dBPZZL6k0+@K~FvT=0
zfiGk-a|fy!P<f=8A&my$!>^4#t*>I3y0<OP!H5nyg=tr$ju2oN-6|FHQv_H1&leHa
zG*}ugewlmI@3i&$3#PKdSW4MA8PvH2dChAzS(#0Nwc*)#*l9sr(yW+cOx>WS&)>UL
ze9#0mJQ_a)_L9(o#iqH`{vY-2!*prWXU1?#a&hIn8$V_l(8WJ4S*KpJF3l=oGzODB
zW$)P7`0#U5aw*%xb?U#j>N8btMo{U^mTcb7gEhC*az1eVqb9f?`ab^J5MK2L^Jg`4
z<LX4=gE!Ovs6tO-<l;pQ!Rb6^*!6Ou=*~fx7LF}=LU6y!k5B^$ves`grQ<>kkuCrF
zIyU!Xlzd&k>O-VK-Pp-&4t#w%<RbTrt$5UUV4~AWAGVt7>r|d&M}tt7qYuky(EN;F
za7djV?7VyP!n2EP_}0RwrLmJ1`77nb{B`xfe$<#Hznm2%#p1>vGtuL>mLE+`#kxRI
z4N&KnVa2wV-~UWq8L;ZWMqQkWF4$lHR2)ZT!E6hzY)fRs)u*!;dy8}+{pv>f!Zj95
zuO4S)He<%nA<p@FiVnCYmTo(Gg#}4j$DO<eS@3e1FS}ojHc$pLX3R5KFpL=gTaw6z
zVrvWk(c5W5fwH{3%@_+tPDtNQb>~1l^slOLObhxnl2(1~S@EpHe8O!dE);NIj=g(H
z3uFj}w=CnVNS~fCzK6n%-aXaAtRkCz;o3iik_<L%$*jKDzmo^~uX^6LLki?&1*w=_
zVn>=c`dcpq^J2?T1=mY&3bY+RG&UW^fs-yAF^RAFP_V-A)Kf7Eu%}z3@;>FnVTPE`
zX?!F!AjeBR=_SL#p0wZOO@EzxolyTLa<kX`?Fv#$B}34ofI|Z&+-P}tFY>Snp({6g
z{_qhpglZI?rsv|pQxBMzB#MQR|DlGmFPRJvNTl{{KX}jqbS~?Aiz0(D?~hV8GW306
z%hX%p#kwn(-N}~Xcqq57Fn&oBI#R|RgBbadg~KnPUQ`mz&L6O6n$Uzup1qh!CSmox
zu=Drjq%e)77G^iD35QHd)@9ENATXOJxNq`7H}`u@_IFJfpGhw}-6n`he>q#-++>iR
z^1|>q3mFVuc0I^45yk@vzg_$jWzldduuf2q4Bi>=DWypSEmj+@jlYxI<l&12y8tp|
z&pH=&c#5HW;?Fiyb_KKz+cN#|Eg5zs+pFymlR#7ZRJWZjipV2oSnz^E0V~eHP91+q
z9O$W0AInfe8izhE#upT@xhLB7&0PwwWmr9F8&<~u0RRC1{|uLRJe7SIhwZ&NW;Vw-
z(>eBfZs!QSmC}+*6b)LMD3p?ls1#C>5z&xY5j{UL%FL={L{>&t_I&+&|9yYH*L96J
zT`rj3$b?l&O)AMn1Kp9eDyonrBgR64P1p((y7HZ?T6bt7p_CUJj$2aD#{|x)J=KPg
zX%{%ZX}cEMxQD5^#h!|u6&E$R<`}`D#syJZCvCL;pZ<9@Dh=(j`Ds#+V+=|muTK8{
zkBG#|9;Pk!(~$lbkq-~5Oduk5A}8NM2bCz<tPC;fs54w}acssEbjmxZl`6VOG4cR@
zYdak^p6)RSWtv0b>u>QNMs-nh_2U_3M>-<3I6bYnXaO#A$7Q+F^pFwe_ws-m9Vt@}
zoER*(1c@T0N=Zx~Io5nKX}n8A;=2R#iK5mJEhkl-o2QS$+B5Pe!>K5(HpM~G0fQ#3
z!ujo7Bs9m48NO~rL6?83-WM<dDBn5d;iN@Eqs8s20}n_jIDPS^{|5k<p5Jxr<w@vF
z!$B%JUk@!SP=Y^FY~X&wm7^9N`ly-2+8O*z2dR=dXXe9fz+I#3^p~^x=z~w}6z!}w
z`gJ~^7aDB9@yg;I=}tW~qGarLilK@44j-t_TD5_$Z|vPKRrOHYeY8jSpBfUQ*mU~J
zvS6uAA=lYT7m=k?(lTx-BR_kNt2t};5?boQXG<NlXTsLT!b<^3IV{PsxLA-CJNb&G
zMMMHwqs-_y0!q4>+7s1g1FF}&+Sv<Q=*USgnzWu2`njjD+AY-v{(DaJHZIpheL@mO
zq9BH%Q^`*+9<%{G*JVyWTmz+l&F{_R5=4oOa+(PQ8#ubXX7QPmI?`T$`Dj-R50dD$
zy0fVS;PGVjps%tT@=bdC<-sHe(rqd!Ej$8HknN`8)u)W+GyPuliZ0>m?lEN*LI83!
z-9(2BC8RCLt9LYH7MIPN+BfQq!PeRxRSDq=sQK|fw!g*{?tbxjCTE;AtS-5V%HEYj
zNAFHwPb!(fU(jYRC;qeor#&5e6$%I_s`b{)oaH!fw^Zz_r(y+``WiwU0y3zg8qdq=
z9mNYy>`jaHv;?0rMV3XN6uKj@G^`&wiu;W8H^gRI0C~uA!&P}nq;-CzB2jk?U+<Gd
zeY|82kEB!rXS2o8@AIU3u`T2Hj@rx81CHj<aWdjq`9)FGIlRa(?>>QF$@NZ8N;QMB
z^bAMGo5F~^yUXkSyGgt#&b+>jW9?oPOq2dDh(c^$T|Bd43g<Iqzj)|w3V)C<%hN*u
z&CF1J(uHU6_dY~wQ<(__$90?v)#FD+u3LL-XJ_%_HMV+JDJF33Rk=}vHXo95I<I?#
ze*qW2Hm>^kkulsWa&0f)!HZ7i?hutVTf%R+aXZS07{fD%&$DW|JSe>GUcf@w3huV|
zoOpk*5fCi-bOx+=km;uP+wKK%pq(6<J;F<dAiNzLIWftN5^XlL9RAFS^0x#suU|BT
ztRX{>19jZ!@7$pRRV{8*YgatGbD0S%6p!G_dTzAj+%>=XJ`dWewA1-U2opw~drxyt
zbE7(;;(NVvd?@45rOmn$Oh^_C53RQ3L2AVvPNY13wD4B{kYgeP;&-^IS*G!z*Y{my
z^1TI7vfspgStAAv=k~Uh(0NgWKdN-L7Dg4`QI=_S2A~veZKmGNi^QkDm1{FZQL{{=
zJNbkG1Z30uPN(ys<FjA7j%*M|VQ1NbJrV}+IH@3CDTW_)iA|PPf096T4Oa&x3h6*V
zI(wT^1(2mCzXo|u5~cQy*a>^lq4#${Ud#_c^je~3<{euawO=&WF;$_1qqb^FI!zeK
z*n67nPnSWbcM@XM^JwrFyRCiul?bvwv4tqDD~lRD*8g=dr$L^gyZ6dgF=YJ4!lANE
z4m~^UBx>@N3c1T;1-{}EsEs7%y!VO%x=<$d;Jhyto{%OzEJY*{XI#0<-F-^P^jnsC
zodFf-Y4T-%RHaZ!ZR5b?9%WQrXp`>5Nrik(otUQ^rO|A0P7n%EMW)&pqul;bAp5QB
z+?BgB=(6>Twu9YjXcteC$*VyMe63ZQjvpf+ixMaCN3t5oJhQlYy#N&o2s_LFc*&t`
zRVDU2S55RoM*m-oJr(jkc<88eD4>vg^FDp~T1f0BR_ghZ3aYYQT17dEXn%&@^JmIL
zv@2}=g-R0|u=jT4R0OX>tQQQ=#3&u)Z+I9KCus1jN3N{&xC(M%_tXSS>LKxVsim<K
zbTIAq*oT>^A!hQ8Mm$;{l@~3?Zd##3`GjS|SqF8L@hhm!M}dq~Wp?S8y)=L)i^PUw
z2Q^Sp-;{@DGzB>fYM-S0F(ALm+H)dA6Z!9pv@TzzB9r2g_AyT;gs5-Uk$$a(RKJ{g
z<)lML8RexlX=e;U%=uxv_;+n|Q1sTfib6X2pt|+$Y@!iF*8CT@VTFiZeGdK{%``y0
zktt5bqsFjx)NjsKSr@gO&plBdW`HWsvSZYoO(EGYN1=eChmZ@N=38KZOcKj-Q@)u&
z$>P@5JY9VhX*js`)Y@HJ`HCt!WC2%6?CtG*BqUWdzxUO319W8N7Cc<Egm3((^l`Mt
zm-qwfVoC<+L$co7+X!orKD~a6?G`ffXq4aB=SN4e2Ty+9AONsAFe*ax6&V%v_=o1R
zXvl|KlB81v(5w?W;ND0^660gHw3!qn!TZg$YTw#!C%1GKek3E=3th6ajrvH{^f9M>
zpA9&Sx_K;}BBNIiG$+H1b&>uwdwZ)B3yz6|ebpWyAzn$EtIm0CbiJZ!n4ZXj56%kH
zhjd6NNGnf?@3{tg$KmIAzn%q8+oXJYjP%ie28#*rDpU~&T~w*>VnMr1&4R0f9?~nA
z*=!f6hzM%gL%iQupk`5Ap4X~_wEOoStB4|?pe5nh-8n2Em;BB?aG8jha;_@`RY{~u
z7q<xYXTbxz3$N#-v{8(jkdxm5AtXo}AG%Fr!MdQ<Q}3Q=q9a-&!+RfdBekh>&bxou
zK<s8ucZ!w<dUE7w65hCo@817c>AJ5C*j>nKSb3v{66(#hgaan=knr1)<`Oor*~&NN
zdbkQwyZzj@K%yW2yl+ulAr(NJQo|f?QbPK*R_*?hE%>Jur8rYlfKB^MF35ud;@B5`
z_p00*yqe|9e<%h60rMBPe>KaZCi4B#FLw~8l~bSR@zEL{vqbd{Mav)^qbhDg)>q8_
z_kl8zAuD)W*=p%<O$s#)bPA@{He-QjR-H~MT0w1c@!i1$2_&jgbv!)g8|EN1*+|}M
z35VK8zBt#5qQCy?0cRQCFcVqthL~^**v)>D;`&|)DF$Zl+pgA(HT^p#Ras*W`0HJz
zywm)M$Bh(N_2nye=IVLZ9BFeX-Ek}8)s?mV+<U5gQSb})U@j`u*xd}U36UVfUEHXH
z|JIG=Js+`k$9->T<(R_I?yvl8A5OHQArx(umV~iy#QNC_nnK<4IKJOetN1n*AsPOX
zm$(OYtDe^(6If)Mv%20d;adOw5@S6p#gAsA`5hI;(DLv2(q@MRJjc)1ef4G?&iA>=
zzm;SR54BH~gqh6Y>GjppqO2A?D&-LKOSBOLd~p|h7C3`zgybiGVz=RQf8Gx-a2tWJ
zaQ>6SQq#C9i?F3Wr3)95v%kOL!kVvkirhOg`VSx3;!kgQ-h;;mx(YoQVS+xF&sl!q
zf4E&&YU9nUe!L{=SaZ=~CIoCA2=h5OiRW$gIMP=#i0@1-t;*<Sz^^c?iF;!c_)KAd
zPH)!;UdFSom3^22;)f(I$Y)OA4%W%P-UyE4Au&T=E({yM(47a2!;dC#>*`-eXWmTU
zZbC@g;G6+SKd=tIl|6y0&eu0~9sY;MP<(YfISgQ*j$0pdVge_OcBgD-Oyg2D;uYL?
z>F{%c%Q4$|5;xJF+2$`hi*IqAY39?U!`mwxdAfQg@v`VlQmNcLe%NHAZ`~Ohq}N(r
z){Fj!^PVwW>^EP;->j3nZJS1gfpcxP0mr8BRzW$T(U4`FS{to;ri%h<4|68$j!ffO
z$^T{y7FThxPf>~o)hV#eD*NoYTQm4X@)Cc(6DRuKK5|^oiwx@bL@s$X&En~*CIhV{
zT!@mGl=bHw2^K?&6}j!_@sw_2xT6yfD$(d5)`^nfu4U-0nEnOa)%TBAEH@vDP1>d+
ze@q{EL_CKl@|N&s$sznwJ3qSjPNPNcs~$9x#W?rpuiy{6cLWG^38GgG4a0_3df@nO
ztNqvW9Eg0=@nV9M2=csWc6B007u2No#IL^QM2{S=M|AtG`D#tI;+TOhJe{BbQ$Vc0
zZAju>^No4!?*4EI6qlUoF;%Dor>9#E?7Pf^lJ5Dh?p%;W1cyBSDMuZM+$Q}|NrewF
zp3D2+2$M!~Rl8rvj1eKDB8VW?$B!Ny;X3Py5m14|Q+nYOB0QJ=-u!IM-+I4@Z~Lnx
zhi-?vp1tcrgpU2sIquC1qnh5FFtVlsf~DDGu{uO3JbGnov7;FJSNdeT=58f)anR>G
zU62Ur2kcCfPe>qYMWsh(u`*hH^j4R~Nd&p<cE0QeN%YWXn>C%JhLUI+$NQv+u%Tiw
zAakcQ`kL`tNH<CyDY!j5X2K$Z%^O?2yhRygWiWr+TSgNF?fE#IexC^JH_u{<%4Jc4
zSMGa-94*uw_>$o*q66oTKA#NDmq#)VrXjK3L}Z%Xr|*`d1KWN`jGnGhM64oV7q+D?
z+8I*jq<mW!N{(bQHwi1F5nyc7*V0F#$A8+kCF+5JbN-V28CBG&iA%jyCZqA!-DVr-
z^kMk(kKUeDwY8nhbdk`YqFnhejNOmOP~G)Db!@i=dSn)NLq>*<hKAM^6h*H2&&gfM
zVx^iW)qkLDO40yzQtG*kPSPR9M|zmwR2w<kD2dB(GteHPyj}as44~A~j=cLV5vePP
z^VxSYP&ng!5q+&^^>d8bd?vbRYpCba--k@}CxQ{B$z=qbHwisAa`aGRTI~-f9YZ7>
z=@u!|Zw%1Td#FT}g!EPnME?skM7ldFFXxY&g562Q0rELAGEhA+VsOV0JvB9bCNFOR
zA6P@@n9nGPRV#5$Yr7#@DgQye=V%2%fu_elrchDzYf)48QYPAL+GQ(x4TFfm`O_<h
zY3Tc`QA7Ms2HNlHvdGy0Ao9j2%cX~gBBkxPrJfp~Z+hYzE>+ur@l!VwrT`uNao!%(
zBu__VhdwXba~AN;UdX8ZLqkJWoXnmz&gV8+eeK-KhPsQ%tE1jD#G;>F=hdQ%ws1{f
z%I#qT|52F_#5gL78z>s_YSBVly@!e4ENo%aU3w<XpMvUAgfcgLS3`G3G_OAJv<1Tx
z%-TT$8SO<<jCL+XH0zmgjBvmfnl^r}Yw_1d_PWJWV*OI+aMWJ0Tw`0vFN^<EkfV!|
zq7NAH2@0Y^52Ma$jj+KoXLzGS9TDwdHI!`lwTO$Xq(rCOWP{4b5vA-_EmRo09BOU*
z8`o0(KE#w}gW}-R+KDa=6g4#<SUB_pi%7BQQI29k{+2V^2S(M<l~O-TuXB^wtdmV@
ziVzDbJ{{&Cl2JjdX6~pH-HTYh7o&CHiVY~}WIXioRYbq~9K2~~IH97#*K&RqK;L8Y
z$<Ly4s4TuehBUzqjY20gr%nU#e`02-bxNaO??mk+5_sVqY@9jRg+U%Ig{Na!0{zM$
zI|`)oK}_n3OlQ9}JR_DZ==zADyyPH{c``pJ#ySWt&su??*zK3{A^hkTS1r}hnIA4v
z2d-C3TS1)UAG<B$+(-(%#1b%mxVgwmn>MqA;7<zj8geUmle}D;`Z6En2oKMWds)E!
z{@Wrqe$U|XX3CG)$$YShKR-et#T=$`3|4zjjpL)#ZI-wdA7JbHu9o+%ad}6TQs16F
z{Oy6;wVG|b&_fdgC#o52ra9h;*ZPK=HJ2?Nyv7SysN!|v<uyU^W)~+AGjZ8Y6{eFF
zFGRMKwc_7Qpen<ID)0IQb7J%<5yW`mA-_^;hM@^0PIU`x^=-ovwLtjBJP&YMw|x(O
zXbj@93J=P>da-?A9URQX3m0UZzRqwOL#LhVro^Bj%u>kqpcaW29<Q(aQ|@B~luDO#
z4~51tjWpS4k@LJ@sYqNX=rsh*1lc{zlu7KtPr>xyZeHjZwp-0`HH7L%cU+TYrm+=|
ze@l-}^TDqNS^s?7m{8K!pBL;ki)A&-H@Fh{A;_n1UVJ|j`dluH#lM`#4sO@m(83`A
zavx0VkMuFXx<>RYU+*F|vS)XIHkTkI@XAI8on`=fW=W$etzhLfJdTe@LXdZ2tau+6
z1D@=a@(Uz$0JDzqAty)}3J2rf$UHOvmBi||KHE6qUbUvY-m(b1YCod=iD3Y%W!vs9
zU*!Vf?=AP{(#0T8VxRrpMmi*B->-`(;f6yis^WB(1lY$4^kw<d;YZ+Yg)@@85K`56
zV!}ZZ@=RO!k804ta^w~oI?o54SH)U2yrsaTI6Ox(jRp$R1V`E=KbRNZ8nJyY4IM>$
zN++agAfkLV``j%-;E^9{ncyVA%i?p^hwe~emBL#*VJ!^S_1go#U6O^l??&AB6sXX>
zB%9Vv5QU>VLc7vs<w5$r>dCLU6yS)srWztC4o+oGql(Q6;C@BwMUfi?`iN}Xh({7Y
zr)=T-lCK0?_cvcPRHeY1H^<AzOC+IFU6`O*tPDiB8sa%chGNDI$~6vYaJLUq+%l{R
zPqzf~)_0Sk;;GEGYG)b1DW87_tEofR2Hxx2hsb~zk1iX2AwbaPOPypl4T!h?8*C^^
zfpaaJt2lSbLFv&g${VsZ;df6`l;R!=v?#tgXtXL1mT%R@{}8m{ftL<J`U?fT2&{mB
zaz&6{_IY|FoCryqWF2lEq{4sV^R1#8>);RddzHDkE)e4G3D8M2xSdJu56Mu0JFy>@
zKgR39aIxdqj5HnO`FwkS9#n%5{=rS03=)XYW$YU>>2Son2QLm(2dSVu6j4qFa`)0x
z|Dy(Q;ZRjRO3{EBZsU5ZtyEA@3Gw{PVnE8t>hSB0n$UIU1w-RA4IF=K20g==kj$UG
z>ldFkqz5G=pf#Thp6lDa-pvrwd8SxJmPCl~J4OuFF#yAIi~1c&M(}v+MUwm}9k_qR
z{HQ>Z0n`f`zUbmM0iRu~3d^y&Fc;91Tr$1Zy)4X-cFhzH+|DG&X6Zp#_?52pDh$})
zSN&hGf;j}b5Ifzo_2E_K6@wXR2Aqy=cAEWY0Z9bQaqlP+bn@>of8AgJ-0w%nGQ6zd
zh8>X~Z6rgY)=J>H9R}cWCuW&j41+*{tCxPYkfCdLIk(0WIxq^)I%RJGpl`Q&vtFM9
zVULPaf}Clfo&ewc1#G}RchAv(Yzl;)XG>a2Q$WVF^``4f8xSyctNFe5N7fTwb<#ol
zFc*BLc{7s*x^rVKyNk(?a{8H};Ts)z-T(C1lP4^=`^a3HPlXJH$p7mpqy^8c$o}j5
zSipbfOv3nj5}1yw33An_L$^6ej9-)uez~MMJqvx1|HSEB-K-25Z7Gv%0vqI`GsE`s
z>cI;|^(QI^<YDJ$%>#uTY>4z5r<lLi0oFA>=MYzESlo%fQE6g9RRVK#(t-%Tr{n_c
zkthW1lgWE^mj$E>>_t+c7OYSs@AD1ug2fQ?E3#rixv_s+hk+)HWX2e`1gu~qpLbjj
z>9m2Xe+lP3Gt?m<-u=Nw?|&HMx4CKF1sf1)sCwL`qXyg4o*D1>+lx&aSvdv?+CX8@
ztM;Tr%5a#Yod3evYHYsr^}KH!KzqwyHNkjAn5&(1*?#{cZlZUCl&lNjs{K=Y$C4a4
z47MB;F#3*<E_UWj_+WrCtKKx<Ab@9<#1GfWF1)*)AtC<28h)#OkCtIc!$5egz)y!>
zywJt|=E?^vNDW_pszR0ou0oBh9?pJz!^_hPF@u(%d_XcaB3ulFu(Dyv^Zoc-^~p2`
zWlJdC7_g;XNf?@~3RJxQ_Te9&DqXN}wg9F>WML4m0I<^y>waYP;=3YsyAH>igZ;)r
zpGr0_OqN)Bkvf0lyEJ5{Q##Dxq&}U`t$_>FiOQx1d0lu}_n>c~o*A^(6i_14IiPa&
zj3noyc6{4~!FjJsrqGn|!mmGc84Jidf8R6YJN{#0u;)~x2?%}N7kSon0kaGt{*rTS
z#Os)+&BCcBVBYa)!{I%%*pJC!vKg@oA9b`T4!UCuq2H#p2D_)QUB~Is<i|KpwvJzr
zoHhdc8w6H;*(4T~^v*H<Wg3pS=rNLRM!?O}T>fHy9P{BCcAIEO#7+=SQn%C^f)<4k
zpEEX!<-D&^c7ON*8?Y^1PQ(l$wOZt|<f##i?roOcs8WfYJ95aqJD&*$v+Hgi_ZY&K
z@0DCLQ~Zj3a7o@iN?YsA`DDv&=ns|}o~V^}yBXWKn!cF+ngM#@y9HY=4q(xLofkYt
ze_+jV`X<v<23#AHaqzv>kLeoq1-LqNU@zY)*cRj(0DO~ECG_@TjdI$KMvYxqURdyj
z4hsXQydW1-d#w+1+41gsBwr6!FDAmdsge$|p&aeQ2m3IkATIF+yFN@vUZ-w+CmljQ
z-VJI9=))3^iT`PSIDk#nNHv_Pr@_SY2DRU{eb^C)y=QW{hA^Yb;U2wtDl}y{$(-Ka
zk4gAg)>Vd$V0>Zqj(>Ei;P@|2K3jMI+q$^RBj02U!&5KxM(w8nkFV#kwCMq?GP$tX
zRA2%tJ^e{UYOM=4(#>s@BnPoXYE6J{<Rliq&3oOpHWED4VQ0ncAHq81x|hQYrZCfM
zx>alq5|qv9ithR~j7c)izX_h1#>PKMmA9YNhgKw->k$1HJ2m>N*0*~W>r4LSBVVEi
zLVSPq#jcHEB3;rBl-YUAC;oojoV*@P))qM}wv1!8y;h#3mP=Sk=F7Mn7jz+Y?_3j?
z&?L6Yp;f!=-3s<j>SxOLRvpmsZn(1O_7Br<pM1UU9S8UszPZH5)`1Wk;<x0VQ<%%S
zCyKk7T+ru9K4G0hgtKzPZi<03nEV}e0<oDJCK@)4zF+IX;g}kkzyHl)i=71vUh%xp
zn;{!flA;aoNf1nMSis(Ne~xpz&kwA~&wd3&ZE)0dNZ|2b!br>hx04D5!D=0|OetFn
ze%QR#%=o>6)yeneQ{_cq=?N|5Dq9P_b-UlPDCYpPtY2GCW{ZKght=e(PEFt%uZS?Q
z;DYw0pkDb32{6;ML!s9+fjbDxjQYk6xesNYyEschi9&fDov8^t&7y~T9`QopuS-8G
z#brSExP-s(m<D7!5Ol<D^TS&cVrTm#0Zb^BFG}BQz!-@|UY{ulefYQ{gGV0rsR<76
zjnaUQaF<wKJ`oUF`O$yMUJ;gVKEG%eqyg6U<sA|a#o&tj7ga;F4zTggkQ0|R!0aAJ
zKvtdvjGZ!V{d-y!HUw>?ZHm)?(B`BMVVD#&T(dpVLQ{v5bv!)WUo`+$)gwt`(qLEk
z^x9y#2GpbA+!MN*a0UngausX7G4A)M|B@CEyi(7aq_1(BhftbUAqQ8U_--t7B7(x%
z4VJ?@wLt&W@~6&81=x4rj`yscF0?hp;ESf(@Ko1P1>3X^P8mI`3v$*6?c2SK;<er<
zWIFI)X;OjIpSlT8uaM!jh<>v}iO!mTgmSBusewbEkg?eZDin*T7h(QuoE~5;Z!y$>
z;_^U;KS6ZxUDok(4<~`VyMXkO_nJ@{9eJ-L-T;(exHxumP@#RFmkevOHu$;m?XJpZ
zfYc3#@e&_8VE@@Gz$g)J)h2kvWijEa<KgpU1qR5^v~u!9>%!x5oA=cbhH!i4ElYWU
z32~XE%JpXYpu|7h>1tsF%eq$ef|AByuWF%H`jrHMMHkaOUl>7b)VfU%oK3-CpTbR-
zEfm-q;ALxAV+2BB<JLb*&7oLZv*P4)Dv)n9s!rTDf`hvhYqZ!_u&(h;>D?+C5bsb6
zkIWf@wV<e!aTx{_UeSjpYr7JD^yJ6hX(oi#+_*}Yvw`*G;3=MXI&8Cu5zV;608P$S
zy15|>xVx)<TzW?bW4;x+$ggzRd8_ud7KIJEBvFM8Np!fR_4NZGngW02&S#g;vcX2c
zM)jx*9a3&EWu^7?Ao+Z&l1zjx)V^v9Nh+m*?Knd-;ei%x6dU6i9kc~2x4WTl{izUf
z?t#>_fEuK}rK#D7uLtqd6EPoq$go$B7BlHB2kx&!Z{Fuz4|+M6pN%*Prp9h7o?2M*
z{7J1g>Cd)scC6X^KM_56`QH1H<3A2Ku+3M@=a?-FpPjg=G)#p3Ma`cte(Aw(X8$wH
zn_`3h1E~O+4_aV3aeUoR&R)DHOU3uVaW*_O7*+1Or2!n;rYAQq&g0}h)uYX=EYRuw
zB_!pc2IqQn4hAu~(P`q(f&~@}G$k)HL!YjL;`LPa#ddzg@Aezp@X7`%Pg>lFeJu|g
z7lsdqng}De6lqe2ybYwA?r?rPF9XkQO7nfLiXyl1k5+kM0RIC30RR6Cmv=bTe-y{<
z9oOdC>)PCF@9%Mu2&F+P^+S<8N}@!lh)5wNLMakOW!LwEP_imgk!;y}B;)7b^T&Cf
z^Sqz;dB0yd-w1<O<G8^zJ?{Fc6;4zj7_T!$2cT&GE=~;RfFj0~5!Oa7bmTX_cZ(i_
zX-9d_cdJZ5*OYDP#YsRxJqj)}Tqf{-U#go)B`qxHWw6}jA|QvTD{<<I#?Xy;=dITN
zV%O^Qd>>43p%b?!C)VtY;I+B!gy8vkj8aBtVt1DdHBz9!Inof$<sOgPoi~KVkWXeR
z>T#i?Zh<0RH3q<A!{qGrvk8k*+q_8E%ZXUDKQrpk8GwrZdc#YFk9fgL<}u4ePV{KT
zYG!7?KK#<=vgETIz_+l!uZkTxQLQQ$+pnj3pcLH_&aXI$w`N9Q?@c&SKcjQ;DJDH&
z8q--WWnaLj2V9K3_HZJtZSiM}KDsa({#W*<$O=C7?e-hv3!F$h?|8J+cO8&oV|f_T
z^%p<>v#(^bV`qN=hbi}79T;UV^0{xdi6`3FNS!~#g#svEs*Cm7KvfQ&IA=zKUL1m4
zZ8`!Hn-lu-ovID#`-GYAwbCN4EsbuLKmz(~t8$>INej|W2W6#L(W9l1kJc8e1jPDP
zQPbyu7FdSNS5V(Fp!U!A7lKo{5zcRVUvfwjm>*_(vZ*m4u5#mhiZ(n*aG1C;9I6RJ
z1y+WW+01BuNZjzR2rm*iwW2>Hpa~XQu_xk)tVqeCDJ7nf50$yI$Q`cI0KBo0sQ-`+
zb>w{HNn_<l>LU98T|K1%GBm1!tePCCI3q;6M?nCk8x-B`;Maif`h~<#KXxJP@89F3
zQ-X+B`ZUASHVWK+|811GqicSZMVEPv5USP}BPS+N;MV3l4@x-!J;`Y5{YN1p8Mlpb
zX(tMFzuD;YE8#|03neW6HHe^r+EoV;6$(J#=I7>W9;BMDtJQKr4B2U<(O9ukptbEr
z?Tc<+)OGP?NVT;DqB`xXygyF{L6zygGfezQ_NU94-<gt#S|2MeK1v40ygwcyRsv{l
z*k%8-JSlWAsnCb!4;ii{*Koeg7DUXA{MBkT(#Ym^iD}{*8QNFmotZg>5f2~#y^wwx
zw2AoID8dvd`E;<{BbkV7nS>Vz+;XTZ=Xj^zUJ4|HoWduSM3J<wP~zlX5(+AmE$_KS
z0iWr%O~s#L=uq8wsY#+d^3P<d6quwyR^jF}DN6zkTX}_eb}FD!a#v*8F%3v1R-MbJ
zl0;SCCz!tpE1~aZJnLG+8W2^nx$IXgg&xbqn+_gPMxhJtonNnNg8xLBS9iWNdMDjT
z`Eo-A`KL--hM8(X{ruFvw5Kwtw!eh*<*6#V@mJp~K~Ni{gE~XLKb1w#l<dE7K2<|6
zPUT&E%d7+WTT@DEPvlUetuSTcvN~dET>bEypbI~J55KyRMM8DkiJ=8NWMp;2HM5MY
z2R$z>`0Wzpk?N>RyW}1+nt2sr+u^1ULsDmxj(I7dwlQTv)njC|dGzy;f1UxnS{Cjy
z(Nsj|?Os`SS&|WiCB!7o8iGyRR?&Y0iYU$8&E1fljNX*oZu)0n3{>BTjaL3jNYrmt
zdBaj2^)d-3=0uo4kn4inT(=UsDE&>9OHK{xXi1SKUt>^Osegb~P#H124hjw_RY7kL
z6uy-81PIZnBs(c8qakf#+x(gml31eg7#aiU&h0B+;!sADse-C442tNWb+CZ#K~vzz
z5-a^{m5{ry$AH8L3AJ$i$oiab3fBgO1m-N2P{S3PoA@(X6guwD(LZVmCEhQ2r5`Dx
z%fmmzH{7LBJXODZm4gaw&3<BpZUq#p8ei(GB#D9xq)%pvP{HpOx6t4pd3535fOsvl
zD7sybPMYvhfs;?=ctRfu)$*4JN^c7y+fdJ!i)*G(yg3sY@=gxfO9dYdu;oKD5faq>
zEvCSB_{f4{k}Rqn@;KJNML^BoG=`GNrl4~DH(Ga)LCinY8L#g6wcqBzw3f9g)L;3B
ze-V*JMR#IcZkRA5lY9IV2I~NO@x;)rK}pmReQjV^h#sZCAD(~k2q1+e&{f)10x>kc
zO`-SQ#^W_)kDlEFVBecLUCb+nSRS0RbK_jcxgUHXY;<C<<a+i@Q9luRf5W_o=a%sq
zA<H2f0Ss!kEgg$mh0yv1&)TNx1w5ns^zbf66R7V<svP<yfX?NI__y@U;b(`-%_q{0
zA=#%&;}9=Dl2*=kyo$}@YT{vciNB1Xc(7Ms%a0cojf;v&O3dJ=(#l*e${N8xlQT1{
z^W2CU^80I))C`_k=~$HGZwPu{BIuXX3COBwZ6uy|78g>y-aPfr0B)58v;}?QM2p_`
z0aK^uaJ|6Ne<?f$kSn|(JXFYm2KB<nb#Be$l*%aiaxZ-_3Uo4_X=g)!{=|&(Z7$$?
zrzwNZO?q%zvYc;SlNCkIG@BE$m+**Bf_kwEdhqH7JHfh>8EvoX8V3ig;L8>g`D%%}
zU?FjRO{$0q9i=i}{^zlV^QOIhvwKYkWK2(;9H?SM@dGDi&qb}{Z@ekK4emO?Xx8vb
zXq^Ea*=qQ9`RxX76p}8N^FtfPZ}9$2_h3LCcV}fSg|=~OU&h-n`?aCKI+!Jbh5;4s
zYP87vNQ2nc#iATqwBV*umWE*+Jt9h^h4Ko~p-48#Ar%`f2n{XUN_|F;g7ocEDlX8Y
z(kyYFV;!3CO*^=tw45HDa}lz(nr1+B?Pgh%M>N59OmBwk4?X%!Uy=VUgbCSwt`(ad
z(EuH%C-K(}7*I0P>W?}i3)0LKo4XXE0cQ6T`)rCCP(;`)vEn-`8u;~1`t>di5Xs2;
zK0#$fPbe%dIj`B#$%IppHTe{<{}2~ry2gmuQtibbm+V3xpFizr+Czab;S!zbHYW6X
zzWFBcD;L_Odc~f1h74xL_92u;W~BZ3;{0w-Zj?zF_Z?3sLwrkgj&MH<lC7Nh(!GZV
zO+LR|`N)b4BK78y_F`=4ZQa{93K_iUTzr#u5e*qiV^bt35$s65u3%GznIDa8G<;+Y
zR|no+j<fd6yU@E<o>M)E0;oA>;_ww_bzuCfcs#0{6OFxa)R)x~LaPpAE0Vcta5l;8
zzrj5ObmUL_nc+2IM8`(G9c`xucAV#>ByG4+&YG%oXP*eVGi_pXjZ+OqD{k+}aOXi{
zlODB!V`6Cj{J_}0VO2P3vj0ZtJzmru5*<FzDv3lhKJ+_&QH2=gHKv{sJ~aDgA=y(y
z3jOqI$@A$^g)4Vdwp(lj(2pCYxzfJUXxd6hsDe%n2tvW!`t5?~IemFoait8p6(}fH
zyH^bub!ePAe1*}i|JHUB1m#dpv~9teDm7S0$3M&~h#(2a^uF8CBy_Il38nvlI^;k5
zq!mvihP(&-<Z?FTQGE4M$R`dmNWZ&Kva~3UhJOw3OTDa!JRhrv+>9f`B+GS$p-4$|
z;{|a!mO&ZK9qcz=mZCsmTvt%%9VwL7UmPhPyYrvNNr!~LQ{b~*QUP~~G=i!m|2SGT
z#Fan0U0tLBPfBL*YkreKipJT`B|X%U#<9Kpe2+DO?!}(F1R6OseY45B-+_#}U}fY+
zwH74X>IM}kkx=iL!Eg6rG7=mA#1*ut4Xs;mtR(E^5qIjZPx}v35R3iYnldY0Xr;_N
zFY{GEF<ybqsksysD9>h+QKbh~^VG$uP(@Uh=K0LCfr3nK<`_qV0k|?^n~(gIcJ%ub
z-CRyV4=uRp2fiA@Rsr9bySXxQdzW4&6-+@=$HE*BcpHP<D%G@UQ5k{1arwwP8Kovv
zF|YkIfyA((BW=Mds9h_4x2zQztzW^PFd75Q1y09@zE?qQOP!*x8`O}OYeHn_6aX_T
zo~G5Kf`oN;Nzgn{L4{I38vCxBf=tH;KWe!OVmV%*A5Bt1@84V;zQ9U_4$%jBj7L;Z
zrl3f1RhT?-Qx;#<_oG60?B!umTp1nznqL?9QWkAm`TaD0O$D)^w+`9ODWPl1D{=b$
zQt1Au*-?WYDg@s0I%Ynvhz9Gj6Sz#p(cje7+0(;RSlA@U$bD2miRni_3b6^JbI1A)
z>3*Stf6`40-bi_rbpBuGUIRXq?K<+DJ)a5`(MJ_e#YyN;;PbtITe;8~B$r<ANd*GQ
zqV8;wEc)pf6&0k%f@TJ@x!ia1an|RlY?_t~>ekatim#?c78%=bzamrE(*DNmRV{@E
zEppCZ%w5APUY|3$<-C)3#Wm^ndn6G>IqUD8yjlF|bHyJyO8{*@N8Ge)#gO~pS<{QJ
z2k^J+t%EVK0Cpa|?27~ul&d(~Br4j1GkT}+tBC-_R4CahToXb8YxEY@C+=ejm8T!6
z9>?IaBGVyFIRUi$$?EAriH}%vzhG!)j0w>2#`vQ-UNmavyucgz6(i6hU-1%SSTXo^
zm}7z)5f=T*wKco3qLX5m9t;|R{&mG35;p;v{&Eo(-~Sy8e-wT@OV|h`^%~tyHFF>h
zSUh&qy&Eewrk!<lFa&13+ZlQvS&?7j*PE@gomfhMTlaFh0TfWIoO6lHC_>%lyW0NG
z*tF|3yV-y~h@S5{{;84y(U(kxag=_<D(T0bNvrEa%n|SH;2b(MVVu{Vtc+tK;+jWX
zqx3+a(X>IQg$BjwrB0>2%f&L7`YwF>sS6)P-H2wMTR3Ow`G<QtpW)gze+}jJbYZK0
zCh_~TfB5&P3mnrfb@;)eU+kv$b-?%N%n9y;e{tB_AKFG~!-sgohsJ1hpovr`;d^8i
zAGmtVaE7T1k0^~Ao$=O&ORRdM5~a)d>h%B@zvZ8}a)E7>YL6BK>qjg}9$CUe+*UT<
z1@`003SCwac3QAobbmL+Y!SaY`Yn3Xa|o|HK>wn?K@$pmWZ(bxS->6T3Lc(zAH{9g
z!(aXaO$ZCj!6Vz}@u^v_^HSd9xMh0SjaRq^a43CfS9PDqox~Vg9m1#ZFrR?4YSf)S
zGy2iAT4f%WGTLBR&z;5Dv+_I*K2SjYW_<SxiJkdj)~^nM^SHbVg|E?`0%>h`VhoMu
zammxatiMSu;v3h>D(d>k@V2_%NG)<6F9PqvzR@LoYcg`TtUnnBZH4t_$LI0==VJrY
z-ml=zx)~t@bYw7(5m-KVVF9158lUsP*KjEa<o=_n4hh%=H527UoI|2AjiGlP*B36}
zDLtbGgDR6_d+C<&GAD-<UJ{%5<v+#=(vMZ)_`$rVqFYP2k@7nCWa2iy+GmqvHmU-b
zNReat5-a$UdQ>=3h!)*la@?<|t^(eCMeqJQvx*aK_Z%*cp+je??YI{&D+7x~NsZFa
zHC*?_Z*-QxfJ{m*x3qRCfoOu+s9VT7-o_SWGx?4YC5#s9uV^ZPi?>QmKXn6lZ{=wI
zeuo*Ub{AJx-&2Iet~jMxYzrqJcJ<kFhZQ-ekKobFityIV|DK9I4Z3)LTK7&ZJJNYE
zJlq<t0G&abtXlrG$YodVAy*krq-k*No!+KAs23h>Kl`2z@kcuz_<n+bhSUQyuV0gg
zQ>#mPDTWMaDk)@qxS1P0eVclqfG7{P{LiS--Hhm1uJK6j5nhy}mA3;?B)IQ-t27{k
z8Krn-+}~#7N1U&VH<ZqhK;(~e*ykIph|jg=KJADAYR@=sbW4^5w(pa_9xY%;-a~&F
zYsQ6;j9*H__`Dn_E@^9TuJ1yPC1-ybii)6>ZA<+27dc?PK9w+SN<cR^Wg~qf#L)Xg
z<v9)?<-m~?cv$Q)H)3RZ$hyHMi3&CC_FefQ2k$ib?Da^zs2+dH&lD(ydXia^W|>IP
zM4u$@(#(f`_#fS$ydaI-E(W!TJCH!RtwS>FwgCEaDMh$*r|(k~$<78XB<OGNa(Wvn
zgl<m$w6oenLTid$MKb>KP^ed6NKPZ77nM=senbWIFo7jK&_V$Y^aft<{VIye?(nz;
z(JLVqL!WvV2Su=#i|`rHmq2o~%3{4+%BX08^VFLHC6FlX`uKE667AZ3b5fE?4ZX2F
zAs%R{0#*6%X(x=N5mFym6k{PHr7Wp8=XKTKyv?DC!Y48aig_OAu~3kngk@X^kRc<N
z$p1-94*B^E*2`>CP+|q&{dXx82>2F^^=6V#Wpr8O`Cbh)s%bMILezv0(8IYQselUF
z#ozqP&_o-d*TeKWv>=2<pS$#-BFb7&@BgE&h1B0fe5AbAfkKse-f4m|vb0mpo{HB(
zP6tKDR&hPx&eFI=@=`%9$GJf2vDQvr*)w;J8$jwoKkJHzsz@&1_}?BsEyVNRzP~22
z#?ba+<F8kq8ghAO!=pQ-iT2x_iXorCz@X{tJ|lm1^q)^|HJL^eJ@UR`O;-nSK3cKE
zZb2QX+i(B3)kHz;9)WOaC#SCd6N_Bh;bb=b$rx8NGGgg!QccXJLaj*UBXv458ty)L
zE`nAS&1zQqmpPfiqM-6O6t9kqyx0EK%PFEuiKnlAA2EaV0mov}J2ixbY(7&FmqXse
zQ!c%x<`A|W&X$s+iXx;h9qr<mLfxzadB1$kVb{sBXFiw;+L}9V&wqx9=nTWIjQE(t
z^;PPldykY*FEg&wOW{SKlMf7bo14QoCK|J-9tA{fdoL*L$BGK|zwp(qo57QP&+pJK
zlhBQ>;O7C>8~8YJS@8K?Gw6I>n-#Vxi>7$SsL}z0I8An-hk~>j%=Gf4OVP@py11=@
z3l%@Gph6+K+?{)Mx--h6*rZU+mA6yP!wcAW2r{}TM1{2`|7Wr0;wUEDP@^Gg1M{qL
z`a6Hq6kZ*$bJorxqC1O~)#F{XpkNZOti)gnnG?J3AZ0=1I~%fS>Baz@o3Ts#!U2xl
z>y$`X<V6~!HUAPK6I`=+wLfkd1NCf^N{PP&bnCZH3{jC8zCP4q$yhf5Ic4$2gBLl_
zwP{;d$uedbFh2a@5}OGy)ctDu8_A5Ex#N6Z4KV{nnCM_AXAC2bv}Uy1bjZ)oDgkR_
z21Gh3a>d#R%>NS?bnM&2!;KkL#BVaggyw5k6lw^!rHo`B-&w)aYlgy9G?_s+`m2R~
zsR1M(F4gSin8WMbbIpC*nINF;#`~*_`XHbG>jNQR7=NA4Wct*X34-2)x|bR0LvG2_
zGv(}^IOpnv%c}xRz_o^jS>4ow>_0sN)WJ0T=%ad?LthwSB6j#;*|08@4)7?nUuwgQ
zgRXjSK4ygEz2$$dQ*}X`o^?IJs1N&ZHd(#@HY42UNQ-cKq65L3>x(HPBiP@${_xQ(
zMyOBHz51O?2l}1jim&oaVRIj{o*I2(1nK8XDYciicYHCIquoD;WxRNl7bnaFab7vb
zzZbON7)NpK?wCdFb7yvtSUeN-#|%AS@zH{q4^^KfX;-l5#wc7siWzJ~V{|1aG$BSt
z?dmm`onzYUoUimUgQ%;%D6g+3OfOza_IR<5O`REy^?Szx@522YzAtIO%bc`|)x`~r
z)#I7~%Li6ScqUgGa76>A$#g#(b+@q=hC<ti>uivEkF#TxM*}EtEYp2zX+W0Qomk<>
z0czV9V)qqLAX8R4?&J(DxCY^z+ylEn;HUM2W^)RJ2X=NHCecI1u@^D<>0EHxQ}T86
z2pQy*zQ{EAFu+#g;pmfy05emA#joPYAYgr9fTe*EW=~KrO}27F>a;2~SC<USuZu>!
zG?*dkQ&!%Q6&~;-@&4ZTRUN`~GaHpESYVzz*;B@l4=QRT9{p#o4$u0c^P`>E;J{tC
z_P$JhXg=<GEwo+@vU2#%UJ7$SOSM?JiliU}rbySd*{gxyp@Q0}f4kt|?R@T6^+Ism
zrKq-LP8CD~?=n}@65x?2_1LZ(L;xot4~bk=Sa-NWQ!mU7nQhhQD$j{RSM6kVrH3lK
z-aYp{&yok4E}6D%#fXDx?Bj-CW~z`XJeDz=zzYOA;*l|DNr<{C&LOL>3OaNSJ%W>b
zAnV|#*p?s#ekL2FC~H-)%+Wa%>?Q!Kp}FP!?b2}k5dHCe7geFDBRf`gRS=|FZCI6L
zWr3mf!<t3AD&+I7W=lL31{H@~pI<lRV9?DoGs0R8o;VT5Kb{o<#Rl<m6Iyv7CEb(v
znpcD3<^U%}XEC_<SXaX<MgeFS-=8S`pblrP%6{B-m4NQM0k0egO0f5CO2jQMGB`Jj
zsF~GD!q)Hdnw*EquyM3n=hZF>_%n(hF!?0~VXSqICzVx!=qgzDr=0@3gqJ@Yp_hT0
z$Ul#ko~eQRUajSoQVqCqO+$E<EDJY3a9Pu{k%6Wy+MTgN6Y7P0n+jd!AadU>XY(R5
zT-<lU?a*&6Xghg6MK*;50V)`}q(=c+v0L}1<aOW{wfLVDk_S=!4qu<g6maf4t7V&{
z3%toite5*0;Lw$W(Iw*)u!u}Gl;PHgiudu=mNSYlALaRQ53L4lp0-jDdTIbA#tV9@
z14?k|D49=rgaQQqwQo&(jDX`v0sq@q%CP_1YSZQ|3TU0U3e%Iu5Nk%nCXcDWWYAv2
zYB~yZe7<+NBL;)_j!9{OUsXU>)ThJ9kPOOKC=nN<0ger6Vs3n@FdRFz%^t1>HiP|D
z44S4Ox=$$~n5YT?wbxqC%Bui6b~euIlPLt15Hmc6RN#Tl(JGfXMQCj;be7sf1>q%Q
zHZy+}D6#MJ_1WoLy9htUIG<3V-L9F>8!1DW<hcm$P8n!a=9R{WsPN?yN6+~lB{+99
z+&z9)5<DBVrh;hAKv{8Ssi#p9?goiwKDHEveu2jfGc;z9`Y$0h_=W;3Im`1%un0m{
zk^eKL5h}2~I@GnMCJ!A~C&G^z^MHK{@9%{YDm1?Pe!=6d97tZ43DRC-hsCcS@16Ii
zf{?bL@GTQrxDG7hqDc(EW=#~D=BI+fv;CY;s-&T`InFWj{stx{q`hSQ#uPTZ3T#&N
zq~Ohy`Ft141uRa-y^COL3jC|uE@vYope0PwAYye0JGjrajMBfun+=>%^!cLDmMhQI
zL~OydCa-661Ol+{6KxG%6b6Roqzi8E-r!zwk*Ckm0?;&MR$cNCgmueg>G$Wp;%AAm
z-4Sva?0?LR_cHT?6YnK!^U+@X^%G_Kw|h;XhmQa8i*GzokVUkP-aCMYGtbrhIByKR
z{V!q*I|)!3dGzFb&LEz_{P0NfQzMu!VU6mb<AiguDT?nu4B`$_#NX6DLwMcaV272n
zLF?YJSu)cgeg!Eb4iQ6WFH-!{TE`6L<zL!=r}X3fX`z<}oejX3koX6eWQ6XIFOur5
ze&L<g;(s1I(ckgUvEL1!=->?V-!Da#-|?JSongjhJz!8xF^6|FVB@Uxa(CHRe3bkn
zw11Btm~ya9Ob%~icRmF-1^2e#&8Lo&XL58wL+!W7rG|B^V|8|aHcK5&3fDWju&o0e
zA3~N*c-Jsd&uc^C@z3!WoWJK@x$1yjYIACP{W6vv9>OJ?nThGHaG&4$xWknJr>lZn
z7cmBxLY6-*H5g&+x@NAnHZ&&giqn^0!2Y$ev5QZAz(zW_gwN$^!N8L<Ml&Dgu)XC0
zYt1>IG3oS`)3(A|K;kq@^LCiUY$u=wD!*aJD@qO7lQls(w)_58;xyJqXjmGo?ZMWI
z*i{obG(qS#6NR2Ug&mpb+MDjukHsqO@2ZT~0Ih52y1V)$=EIV$CN(sO>FnMNKgX#7
zyDc@OqGBen>u27mRe6nIN0NKGp6v8tNgug+CWQ$s;L*``-mNk0oI^sDp*RI<H1uiy
z@J?Wtw{vFpKAOPz51!_eEF?p?Q_vL)vz<9bUVh-eY3%b&n)lQlfA7(}%i&Zyfz5Sj
zJpCp<hXwY(HdV}2hs}kd2)7fHSXLaq5R^TSwR$OVb2qC&l9TPo1B)rFb+>38L4OfD
zZC18P+Ej&15xaXNk7?{o-Dt(jsU@s_b)&{fXNNbX@E_ZCGnmBU0oNpa1yhrMtDhOH
z0yBaS&TOg7VY1(kgKF6tCeKbXo2*iX5yAjZzrZ|}S4NaR(zT9BNA!A{GbzJ~19zg2
zNiJZFvE*cJ=}k<jwt>6EQ3?3{eZRBsUBu4(dZ=WVyNwaq?$lCWC_>$qI%z(A2@`%0
z+S8&+3w=MJnt#_0SJH2A1aYijQP)-fSUjVHS~r+H5U2oKHti=)<ga3MPQ5+^YX$&n
zpNU4VJg~-a)-Cw|#qPSPU0fzGfrV{F@TRRiNWY+H{&N3^6>{U&T=Xo^bfw}dZxadB
zWRx*#@+KxZ*R<It%Le8|&Y~$x5?p#YTUWQZjqSRa8%}$X1Gsv}?Ik|TfqJO?GP0tD
z5r?ILFKk@Uvq|ba?Is5yAtl%OtLfle%7M>gQv?`%q!yaDEep4Xg~I>sX8`E}Cad}L
zJg~RrRp!bQSs43tW4xP_38eVAWuB7w;Ce;i(c+`Bu=y>_-)W5*9z7A_+rP~Zj5)qd
zo}#jF1NL}?aI-<8zM!`)gAg!}Qs_ixWZ<LPuPDD09Po0H=*gx}1c|slcA+maAaZl{
zcjXW#{0{&C|NjhEcQn<17`C_UP1ZH8i+f#reqZw!MOtPh6e<*jA|xeJ85s?sQc4Pm
zO5?s64J3(3_AE)ZWc2gzdp_qq=XpQRdB*7Zk=DU{Sr`k@kDxRt1JAehS*)K0!B(T(
zmz|J@W8HTj-sw_?yQ+8B3GWbwyB?vea=eP5zahvejE4k~$r}?w{)&JNzHQ!-p#*g|
z%dgSgNkA(pV~MO2gFQ!Yh`%)@!E&rclui=~7Q*EcT%Srn^zlqCcV<;^X?*XMdq@Sw
za@A*tTcx11BJ|_(pc=$(dLA5NqYCPVl4WtSvLHJDbBAj`8Md%%Cx&cS1JR2q^Ytm~
zp?{>{gXbIt>WgCjiQiR+e}-XVTG<M4^<_hSyOcI?)fzW!-Jk)F$~kHDB}EWn>oZ<b
zqCu*+2T9996J$T1-mM<03>`n&+Xf7DfJf)@Eo!<pY{^@vq_{|ejk`CNj{+Se8-<zP
z-KIgS3%#r<Srtw<2v9=|b)l`6C+nOc9r7yb*f)~YfkTmlNkTvmIy_Gpbg$|{r(foa
z@hUPL6vz>psL})O1YWoFMSXDV9Y1DZM*+#&O<&Zt^g+D{hj^5X;3J>uz28-uFt;t{
zxulyuB#4x_qz9XT>&4M+VSL&k3LXI$sro?DJkrhg$qY!%`3D`fs33Z`kP=;_2g46v
zMNte15Sd_GUge~L^?lN|!dhK8x9Rs}VI9DU&%KZNx6>fP>rmKgEFF5fwT;EUSpx5T
zLe|qT8sO4CUH4%c9M>^6jcv99N#^<X^ZRMQd$%Igk4qbFIlm9*$gzf(UKRNo+BD#!
zUsZTHKn7ijw%f-HY@qG(hwF2RRETjI-&2sJ0<O%QqT)F=(C_Q`+RjTGw$eHGGHWY>
z&!GFSFO4>Ee1_T;@k0|LlTHt^FG_*c#KLX)wfWY#w8nfr3TR{w&8h1OL+)ZfKU2O9
zaMbVwr)?%fuV?I#<_QkS8i}Z*Iop8Li)5V~do|b<7Fur9JxfGC?pEU-wg$HEdAHB#
zs6f6^_T_oe0^%*F)4Lo$Yj7($eyUtl86KGmk{^`)W?W^7mXztTf(_eAl-sKcAZ8UR
zIM%VuX#O+vCVZn6R9Nn)_MMUgF_CrK@A$Byb<>i_#%Gpb{zm*Flc+Rkd^kC^fr}IW
zi%PBkrEUo+C%Y1y4vB-sDFN!PY;KIaT5$ea4nXbOe!EZHBH&E6V6C&`MG@5!wGuIa
zwk<#6`#%W4Q(qQ4&JBE+(^(Mwh)jSi`*V;H-~mgc4(|<b_^{CCSo$qJ3kYFOWs+-S
zgHnrns^kbC_BK&GSvHwNXM@-Fm(oly{P9LzZ5<yzv+EeNIAjJ{**z8q%NB@18dZKi
znh!UMl$2y$HwCSIgQ>-QlZ2C@+2;L9eCT}s$X>lKCJ;M#P;Ga>0P!qq=3i+wFAnZ3
z3AT|m0gI=dZ|~;6BV;pzMaK{DVn44%2(zy-h$hI;_|0n=IZHxM4v=_JIFS8URfQ4k
zoz39e@6gS-Rgl<eG0%gB0Yy9=0!C1fx9{=!*ipvywo8AX4D+D2;E%cX!-lZi`OVpF
zr+zcmpY8T*SbHD4^rywS!vOx{mRx?~Kf{m-y)Af9lNYauWw1@y8bEpEo>uFcdB!^H
zWbO}%ylA%}&@}j&K7=0dWr`kHWPEqO+<Kdz4`)n7uic>Q!?nn_Ul&@I8JqGQPPo3{
z!&7|fiUDPMP}ue3fZ2_I4CRhyWr-|)G-llNE7jM7hGRev(qzV-Gki%rIqNV&n)OXM
zLl^W^wyuLyEO_OJ^n=|W1yJ+F{P$X?wYiVwdG2;rr0UH%7GD-b{$GEemkrW^w}kiD
zUMf4r>BJ|NdJExbYiO-^3>{*3g*N1+aA5w~7mPF3!dQJ>p^a0X4t6cF3iV5zc*y<d
zK0ZPOTO0n#j@0P@$6W)d7ZKbzE93FqWQQn@r`<Te`G^kenwJV!<m5#rbMjm1vtnpJ
zGkW2knhwY~ZI3(ofDiM3Ty&{v6USefgIvLbG}s{Pl}rS$!^dHddbe0fqGFxVL#;v@
z^qD2`ZdVmV+M8ETdp=0v8^w)L=|^Z#m{?ahqauV?^cx$4kIUers^9y3>}k+rVsht<
zp)hVXGnweKmBT}iJ4H^BX>eaO*FI*a2p&InO!tefJRW><{pf-y4LGV|GL5rDap%ix
zw)Hm@@Uhbp%QznmcBRR{%&-{VJ2&SVQl*GDSDt%36sAGRMc(}9n<Ow~>3~P@pb~x!
zIr8X{8V%m?xGL{&kVN*@MyEa*64saBC`fap0ng4yy=Q!+vA<y?*xg436_}0Au_e%e
zxkTZck+3YzL{AjGe5{HzbU)G4LW6w)vCSHta!B6UYO!8W9clND{$N`30i%+CNBy43
zBY9wkIpZ)HixSQxJCx}_{bxBB>2?KV)u~mH`J{n^`lk|O?dX8-xxW7GRK(h3r{JR$
zO}tpc`jEUphY_;_Nhd~>aJL-kn9wmT)UY>HJG`dHsvbf`lm%tnznrEe@=zQ7tz^HA
zJk$f0+UWA{+$z{`7aDzPsCenh&F?Oi`p~P|lGiP*igb+*)d&|F@;D8|#D6t_!I&zx
z6Dn%>pO-#!VhIg<m$$}GiW$Mql8*SZBz2V2AlO7kX&BL?)cnZb7~V&?%ut2NcuHo~
zq<DdbgSJB-w!Jrjaw6k{`FApgg$6oQchS()LY?cgt{G(H`!#RL*Fev!0yktY(NN1z
z#r9*aIaFFN7#iqNP~0|9dz%yuThVH&i-~}kPrPGhxfFc#MPA9HPa7%QimtJ#1N`US
zQ+e|%1@la)*Y4<R;VYHM?eH3)_!o=AuK^0S&@{}`%-8m*v46SspCw3lR%|qSO2Msa
zz7GgaGCm?M7=}NwglKMc1%G!6mR?NV`?Ek5JHx$5eCw>>*@x*m-FF&zpW-GPtwF-a
z@dtG0?5%(<oF*d4rGX{f69O#7iny<7B%br274&a?ydtumj2Vrm?fs6e$L06o`|Lxl
zAWwuX$Zd@WNBJXVV!udXWANqrSKe0O+t(D>Kdg#gt-ppAlEqM#Y!gi~vx3sX!7Sc8
zYyZ{yzMJ*F5E3W(3k%q+AkOz$KGltcJ|qsi-V=Pdefg(F$}3CA5#;sW#Hx&Ak*t#U
zGB{97FjZ=OkR@D+v2v?@pom)ny<Q%?%8cRuvNan-EMa9k%SqZU1yq@n$~9(RVkiY(
znYddHFwfch^P=W@lpPvgjf$9MtW>PN3vvc{@Bi>r@iQ4r&|Q2uT0Oy_Dj!m={6awB
z>8Gm~{H3r#v#TwbGRhdLiD<~@C15qjUeMP>0@+^ojBokS&-l&uyRpd90<^`QJ`L%K
zVb^D#tjwETjF0p?T+Wf^fW>*lIX4kJA9ORV{zC^tH{R_>W~CYM{1c6Qbz2DK3ZIiU
zoNs4@FlH207fiwE#i8wDvVtgem-P1Vo(_ij8_l78W~QJNv5oW3QGV3&jXI#v+sRPp
zHWf@tFoE@?IqmnWJoxtwS!U#64<lOeZSajYV=#Gd;@SR*3!5x|2D#VtGvI2pdlA_f
zr276`o&3Rp6xX5@`K%#^kAL>Av{OcKsiMWZ*oqz1bTjico{cixv$_M#`V1jOYhoyK
zO`loEV^mXRelpIAYmhHm8G=yQzx|E{EEp(%JkGvsf^k9bb#1^s1E{xZuf9>hj4LU1
zC1%D`j6)eeyGle2pk(MK<yI>bMzapF`)bWFLYl(!>`&_hd&H}fQW_K1yUf+>)th6y
z+pTb1{*NB)?<SkG9Q?<~^6X7&a9UtA+=i(2hxMTJOvQpTt}@~VsZkm+i;VfJ(N_(}
zb-~9eH&}n?D#Pc8cj#>G5@SlHsK+Z%7t(A$mAjd&GM;f>Nb^u#WwaT0XQWQjA%bi8
zh_dS{LrA1bN@^Pu8hmR=d3%fw*SP{bt4dZGTP1(z9bUs>qaqc{$xer0`F`U?%YTf>
zG>iE{ZdSAkx7+KMsRPb7JueJ6nDARQE#}Y}HVjezs_~Aj1FfPxRQ0n=cu#z}p;Vd!
zQ%O?+2dil?=Dbpd%4>X8R-HKC$ca{`9y{*#qCxrNqCn_k#>XKwd7io4_#-g9rjCgQ
zy75<H^vhVVFI{D_=n^j)bwymh;Yfv{b?i@%-(p3M>Z*Q=QhxNeRD+|pw4uB1Qw;4f
z8%moshYJ1?z%#1MlnhpF;18+B+97r{JYZLO+fWGA#cw|=3)X@t$-ssY15RX0d?KxK
zK^T()=d^DQYr=Ytzs*U-T=-n3Y}eaW5hVQ_F5I_Y6P|W#|Iqgz4?b7fSoH0p7#6m~
zk7+GYK)`O+--DMAv-`B9pAZt5@_0tXFNXqZ%6VI_E%Kv!c5UBX5h<Ky=TLg?M1gaE
z`z@dI2qIZ|XYUU_8LXzuS*wUrp!I03<rGZ_YfIGp613#7bG7#Q)Px3ny2P@7?yxY{
z3A>a)ggh2Lpm2Za*8m;+JO!sl5!4%OGN_nSz!v{Y4;z1Lz}CK_2f}Q`F!5YKv%9Sl
z-W{ZTh>)egdy&+Jx1HixJby7Tyhs^4&h?soI7or~$g~Z?sgkHb4$j?0Qo*f`FL&4u
zP=ImY{gjoTG;Z82oRM3mig!6%XBtmyLhprSj^drN=$y-0@Nu&`X5s$WN;fSKovsuJ
zKe8U@K5v`cvP8zil=440zS{6Yy5LUJb_FbZ?d2s{Lcxxd-OhUVsqnPYYw=u+BIXV3
z)wkHIg};2W=1*RwL7-S&v2BGCQf6hh$qG|3qbAyH`IHXm9hhXjIIoP?Hjg|TUGuf9
zH{OpHQ|Yj!bTyinP{9)edrLILbdYcG;rqloUAUCT_Hoa-H61>hDZJx_4r=4l_u~rs
z@b-+2spMxhY<Bs)B4I;Eo;9d*c?N(H_1E*({H{R!jaJ1iIui57pC!NuRK3zgJuNj*
z_w~cS=UV7!Jk8RQ^Vb+W{Ekhux=^rr=l;CLcXV6~Ts-~kjVbuBEXN8sXky0v<1~+x
zbUZNswTgDd9H#d+W-kh9p@_Ux>CHJER1b+tui8sMs))vEraM~Lwy~SKPhAI>DF4EI
zE&vQ@KYd-ks)e-XxtIE~G<-DK)^6!y35@4=_yfe((7fmXL_oX0OjR$_!r4o*ccnP2
zKqmFagPI>&sJPQ4PH-)61lCNGso7Rw(_taAel1UA*t745FIPjgGy&TPc567hqc!Vh
zjVAUlIWE5lC*ewopY6DlHFUjmsMr2PL8jzlPC;Wu%)RNra`T8aNMHQHKV7JSk?Z*%
zT-20BK`)Uv*<sc|75=lS%bAQPHwsE<ZWPBPuQrYyZq}f!KQA-griS-JQbmg<1#z`M
zNzGru8s05kCttTzMH4*%)kA(<`1%psct?vB<WyA4^XHOKRLL=JrwJ3z%{nJNJ!%E(
zAM_7b&MIN;$$(8d&!-u&JKD>i@mPVp?-jvCM@8I9tyt5z9>z?&V#S}!mN3+o|Ej@T
z9#8r{&5eFkNj%bsd)}pF2^Xc2cbA<kt~=Fx_P?urghAhJH<9}QGJ;d>TeeDJN6j<W
z+_o`d@zeat>$(7>J&k9Zlf|)T#UWpdcZ#_8*2LvQ6af^ZJglA<!AGC8_m+js5Slze
zWX!aHh`T3s$eBWzTrnj&^lg@~tIzvkSZNN!mZh8{P3!RKm;S#xC+CP$*@n`M-DWV!
z86KPel?VHRy|@!E%n>nx6HiL{%wWklt#ZkZ6X%&<M8s0&2)oc^<8~`kNIe%gDIm;-
zLYr2+`yywFK7ZbOoF`3Sr^iM|HhpGv7xcB*mNi4L8*~m&*BFDgiKlV<))fZa2y{@n
zG);`_PwXJp8N;ET(k{7Ae;AWtJ8Jk(O%V@Hy4t1fHUj34Q?E9+&oZhmX7ztRG)WXv
zOC(Ys8-fh;=VB?hDTcY9gj8MQ1o6mHMd^otA=oaZhTC2kXT$`#%FBKoCk72Wc(xoi
z0AY^dl2ENt#uKIT(AIT7iPL4*#ZR~C!>su8mcHWyj0*R8((R)^h+P{w`fLe(_#VG!
z^;K0D<K>?B<X7vy6C(FsKiTs@5A;qHMUN%6F@j$hK|t>a;dx%Tw?JMGj{08|3=eB!
z*fCX$C5;Xf#g<R1Ml*GRYx&gBFRvQL(pZIyfZ8z8+PhPbRZthQ@8|faYL_#1ZWz~c
zxIRRD^|p0uy+DUO16y97`Fw)G?@JG++7A&a<%F7<038;6R=)Vf-6yK|M>t&~4-qzY
z`DJn$I)GoemeM~yCj<@-IBqu|B0}!`-nUy;2iQ2t6B~Ba5_(>=_~`f{!i9tT`tVvm
z8ucTsBstU*@w9wL@1-GvyO?)ZjsXpLMQevThCdSIl_v3r1;Yf(e~Rv%sZ{V(;JM~-
zqlKuen9qob9U+3}UXGrv(uSzTnWHUcZG?`Ob*<m|QNmd8WUI`W7C6nNM@=@j6U^D0
zb7C656U;-xvPa~#pe{4&fq6hDk?p+fdC+o<C^l`~6y%`^+S$o|C4AjP?{+)IfL}j}
zzU;p_<5wv#@@d(=_H8fGmE7a&^!XQ&Uac?krB4HjcLmwHZs{kqcZ7e;o&QZlE#*`T
zX=*@o)2jvZ&jUnUV|Hkr))e6#eMctw1Q{YF2mZ<h4-p2e?On0)(?oG>`*xicb@=)%
z&@x?hggDd4!|VQUh6th$PAq7uLkN*q=fV7)`26#@bXLI}v9Uwcz5Toz)bBng5X?G8
z9M|f&H4(l*Os3IZe3()NX^(F=c<AE<N8ZNJ%*aLJpVx_*UQbns`9hC<mp(yoxYQe3
zJzgS|w+6kGZcu^Xe1WL8%t_*m)NaCzyh`MVT%u+WD&TwED)<WXG~v4^guDC@6AT{d
zi3)l~g2TdW4~<f1h<EX6D+LqGU~1<o*=9rnvje&17i{N<@~v00L^4?c8b9yiex(eT
zt(m8qR2B$#5tE1i{Mdmv#ii2IUKyI2FPmJ^UnF)>(-d0*I6?A8z%jjVO3*MJ5dQc0
z67e~4mhj2r1{Ec-bcv%%up@}`(1|}QM3(1^!%G5u5LnHoStP0iNjK-;WqUFK^Tfp<
zZ(IkjDi0oc_EHgeL-O-IdYIvD&$z_?Z-UVGp^#y9SP>40pS(s&WQFs7ZrUu-!ceQ)
z=NPS}2>d-q@`iS@!)p&4yVMP$FcOm5JUp)e)V=o<y7zFxNu5`@UoFL<&81avQ<DN<
zDfL>xWp41Mby(L2N&+{><Bov}1>j%p<5lM71OF>q2ljlBhTnSro3@rJfRYD~V)B!9
zFeRiSpYAUQY++j~8&LsnT01?v(<%t@s$y$_TLJ8eI~P=bDu9Hs<vZq3Vfgm=(*B3{
z6~UurN^VS75e{uR&41TG6vz!*<3rq)VHaCdZe+e9j8t;zxv7YQ<CbHI>0}ic-fmN*
zXs84;?~Gnv2T9Ng?mRyuqXuQ!0jT;<34*WAJuEmUz2;;0cl<{sgM|0NPhXfw;2*X6
za+OUEitJ<#73`rvLiSv0l&uOFO^2DgmdXRi`ou>p_q8C#>d`&Jc2&6b@9JA_J4F!P
zY5jLAD-Co$IkG-Sb->xyQ@`t#;1SEM-xhj0kRHNR&ETUzK!VEaw7n$I-;oeiw}%b`
zEI~;`ofhO)8nT%PsDj1b$a<YvUD%uY+mU>n1}~eot4G$UK^@+Mlks}sW}M06zKIUS
z`OYHWW68ktx4Gbymp+`b<1(4?)Po)=X7%5C6e#KWSmVWN05>uk$CV1!dVS#Wr1u?~
zAo_LKGHJH~RQzr}cUsmMbngd;SM1UTPI6$1p0@!6@P@a9J~0K}rZDN_kEsw}Q*Xav
zRUg>;ds@DETR@S<@uPWuG-zmOQ9rAt4+Zy{Jg4FShNb97eHv*{=E6tL`lSoBzvVB@
zUR%P?WaWi^HXVoyf8?{<mJU^eakpmrtYCkr<GePn4s0vtb8)tz0SkY5!I4&Li2Qm~
zsHlquZw`l#oo3O5i94Nlhth1onbH*JyLJzUo`$`vR5kchP?39B#1`Jqj*0JhM+K+m
z*RQ8GDgiUgiN+3BTi9>p@-D?j8&q2Ns_vJO0hfP@MfN_nP+$0meIQH|8XaGlR@w=J
z^c9OM@y51LJ1%)xAxHyaoZpzfd&&kUE?*bBGGYU>jq&d6X6mpVLcTD|j1wQYZfIXR
zVgoNXclmstQ30OuD&qE&e#YXHPA01{Ysk7*GHF|&3~b+}#Z&y37;X=Kj`(b|hTD!;
zuJw8-f^}1nUg<m=Hb3ieQmeFrfA#e`s<!Ll^ah8Rl_NZuClvorK++0gL^U*mIHe&-
z^%!5(;dQv-LF_DBv?Yjd+m-9aB@QRp7810t2x9&D1c%g7fW(zQ&aRt<;X$o~1ADX(
zZmv!hS91pt+fZG)5Bb5%W3T%>lQ35OS+E`~AV6uRm?t@c6CCw!cJf&W<L|HR_rwY<
z;7Y42%f{EtknkrW%+g*MFO7a{@Ox?wIh|poDeXnVKg?z~>I&n4Fd;qFZU(>8KN}mq
z`Ayt?wW8_DySB$KO(BoX4BXZ?*Njnm2=-%h4U?Th$o7Rh&Dq=(n0(v)<4X?{d1sqe
z1?~&sgKE*3skMCa<}zGPPwHeG6JyqdQ$qOn>6Pnen~dT0FyGB~`yY&5iIY!`?GwVw
z{C_HqRE*)gdGZ)1|1=}}{1&cIHz5?QJ9BH(X(O<yeXO|nd!FI?C%b-pmk=gx7A(;G
zX$TV<wCP^&B}VS9eILgogmBhh;6HD7L$LYw!R%_-KSof-9^M~?LU?X9vOJ~902KFU
z3V7r)V|{sm!}Np@UW)(P8}48L<K2Sg<-V-=G0}hZlcO-6XyxGi)u<1@nv|=y3bSLK
z%OM}7I$`v3w>#UtLm$SP7nDWIIPjNQ{KB3cBIs`Yi}-I?4>s^!Ub431LZs?Zm)H8E
z=$kvCrcrt@k$xWTwR5BW&*8D1)uJe$r$p+O(1Ru)JNfhjylC0y>NuV!hMVmwruRJ8
z1qqG3x4o?Vn6Tr5f%s){>^2H?;rG*p*`a@qLU-3;Qgln+hWipoJuGKtDya*L5=YP9
z(GtXdo}a&df0e}0e950KEp*UMpVfOTD1_PK*7U<9X?(4auhgGGhs4DBjq|HQI4&D!
zER!sQ1Z#%d;WgdbUCQ~M@2@awOAcx)uaiT?QS+5DeL9E;f6fbK6-Dpy?@37y*5m1^
zi2Q?MbokFB?oO1f7}}3l{yD9ufT^tF^-)Z8@Tm!maJCc2Wo?l?ObUv4Ip4&gb3q3x
zwgd`&kCVXry3I%KNGf5X083@|vJSY-$uF&bl*F>^OUYSs%2?nqQ}%5wk4?({E$7vd
z#`H6N<nvl2e9zyQ)la9x>Xi8=+HDyup>=J3Z>NH_(;L1|`_X~&BTRy<DThY=XCwdl
zsp4qc1y-*IbZAku$u_E6kH7RrJ&lspa5Un|o<p3vK$b3vPBc_N>Pq7bqeLBfJg>iT
z4PU$G#fx*@B8vFJ-o{h7nT&=9ZGS5+>B7{l!CshG#Om{=Zp|Ya_%3E>TSk^1n1&2b
zeeY7jfGa&0U;UyWX*6?_sJ%Yii{o&~u2V+Qqg*dPcWdH3RY9lI!UkZ@XZ1Pd0SW({
zpx^Q+(L(ZW$!Ym%18}5f&t;{lU@wcoM~a6wwy#VlxQ!S>z3h37g&<XYx{g_n<%>4P
zwJ<m<$Bp0`<Hw7O7HZfYmZm!<O+`{vvfpcF6S%~oZ})vw4Rv%!kG)r<qISxG2P+Du
z@HRy%e0PyLCTx7GIXk3{kw;dy&DofNN{Zv8gBcl9%sq|k_GqK;`@bVz{^pR~z<k!C
zl#CHoU%snkXkiJp?wWU;1u*oTf(aH4jM(%waO$Kc9!PysJ&;Vmp0QU)xu_Z_Wyb%X
zq9z5aawy)*1c2Uyd78DJ27c&!-S_x98J)Xa<nOQbuTG)1no2<pERGDix4BOZ3%z$g
z@Zhk7qdJ>U?W-kYkrC6r3?^0VJJx9{;baMg+pk{AT<e>MpUi}8<|84q)sr1h<1ArM
zVvaz~6Ls7`y2El#NC{o^`s#k<Tf+B2_Qew`YUog56?IEa0c#V))+-fT!mW{MCLL8Z
z%<^D$kvJ}kMvva|Bo<i02cP!Np9ZQpursv4XHpU`yuZfZm~09B$}`VJ^;Hl#?+)xN
z6~lh{%Vx{Ime6YA8K9v`!U$%i7~dLU^dWY4x>7A6K_OK7tbj7w?!CrhOclh+tG2Of
zlWV>H@RND%HU9WTr&!7U<VAAJuJN3^0BSndmWp~5Fj%>(FO<xM<W%1u&piN6zvMsD
ze?=Z=b$jJmh1jw2NTK*9E`UtyZBE6Ba@f`MO!G}93vN$6u6}zT0rZx8wDl=6sGx6h
z{LDQj%-%P9OZkZf7+=5f&96)fm)*w*zQ|QZf`)#e45tN@dL5U_oR&b}Z$>&}amx&=
zprm$^t2w0e^yXA-7e`-45vQi(661dW0096043~F2)omEY?Y)n^IrcisUgthmOGYJ$
z(olIdL<mJHD@CYK*?U!HWc{9mN`)fXG9t+yA@ut9`s;q~&;4B2_c|Sae%3$V7)q?1
zyH|Py(Ub9}TYhK*ds%;#k73gYZg}T%zPo`#*UO_?W#4RIf(2WZ=MNYGIRi3T_6VTA
zUc<+4QvYIZ9$`0$#fHGL;YJbC=0}f=g%p|bn;3zpYMIM!2)Q*Pcebf~$Od1xOZNB{
zMo{9KWj${ID}mXv(%*Q{&)XlG6vwx*w|xNtK^^)K%->+}&4U~LnUm~~aG*o|Y-=QW
zLwz7R390PS=R%@xA7;`V=+WD-!$Iu%dLX)8diky~Cn6iMPNaG=AVCp)n3=d9gd}Bt
zZ1&+m?-=uFwHb`4Ze4S$FIE>m3&<K;46&n@`t8ntznG9ukc9aNr!Lf5m$-)ev7@)G
zPnQY%SWwX+ceb;4bzsf0X=SewJG!+0b>#C#R^+9_`67r{2fk~_3?-_uqofS!g>whk
zQOL0(e_E0@M7dT6V`l8A!s&il!(R@h`YAZ0Lvcs1ZX7v%iyehusJI)5xX|fl`#}3@
z3Ou}M$Ljx+9a$v#M8C@9L8Fnqv5U48AlO7>)Sda;2Z_#J2l!B`74PEoZ!&1Ul(n@{
z+<EWq9}OSf_>m@E*8PzCWT>~obA<loM6^=-uAVyrsIu)y`#(K0_z`5cIR0><2z4t*
z{x>+(rO&qK?F0$3B(ri4i1MI_pFVS&{6dI;6;@g#li+yi{pTDfc+scfznY5v!l+w>
zpLgvD3BIuJH;6gMhh&`C7P<b2AhA*I0beN+h*pyy+Ee(^V=b0+g;+5(Xi<{(-!CFm
z^UO&v-~>>1f_zx5g#?Nb-aMLwh_H6M^o=A34ppa?zL*h`Lf76jvy7z^VQ8-N$X#JU
z6i@l$7tJJt#E51?yYCSp0JmJQU?7B+&+l2h9Vv^*3$?VV+eFyQy>jJ`k1!f#*htAp
zkwYVbykksvh;YNYX-4&(2>RWI^EY}ek0N|CzHB8EL9l7`$}~j`Mdae_f*0|qBQ$%=
z;WZI>YU~$WtHn{F6`6~hsE96YJgzDHLj>PM`!WXyN%X=@Dq{4i60$zIS^k_xf)e)Y
z-fA4u2={4Oh4fY#=}E=Ckjfx|SN6TC;;%AD;*xzQO<Wamug6sti;$s1>(uIIpDdbX
z%`Q50K@EMHoDN#b-O;IYGMZg-sCd3MAfiegiEnFl+t^W{f60G4x=S8`^;BxhvIf$<
zV^m)&s0|Y)k&)HCc;xAozt|?Bg$jxKrbWxz@RNC(Qt({?Jt1qf?!psLaL?WRjyWCp
zQMbJO@`oat_xj`zOh-h)sZOFZOnQ)0E$<dTu7p<ZK8TZcAfls=^^_EnK1e;`7PIS7
zMoR~WRVYzJ)N*cNiQsJj3rjS~o3$z^Iqb7@>k}gSOMmBA%xgoaU6PJ-j#NeW)IQYL
z+#;g&MhcE5W(+fPzb%*b)sQYdWki5VL?ESa9P4EQchY{8N4!--Q7?maSW*ax`v>a(
z`q~r<yeb{qwA2x6?gZWG(^?2~&p2|G4&WVOGR(n49Tn@YuD5q<pb$>4`iXde&nJDR
zJN?vA!o(0shF%>Nvb`PR5u`!smxU0|1M2AIQlH4goC<pT+L+fXga&d~0@tQD)zE(d
zY$i$NN=QYRm;U-!8XUag)L3&>4Q&~RxE?sJfGW!c9=_x^1E&P~g{fv$6!oI`$PEU0
z<YF*i_et9f&gWieTbfoujPLIq<vuNgoLiEsLaAl|`p0#A=aiA?JA=>@E8=K<=~~-e
ziW#(>Q^GpCmC(Vr-04+a!pI|Iw$&162IZ+TyhHhlNFa2d7a4~`SzE`t!$xRuxT=2M
z^MV2r2xoZX=g*5)^P+`pGib0~A<Q7Jf=45CTD<~=>`0WY6`$fj1D+A(N%m1W#ANa1
zDz26ZCC{^F8PL-}<`G#fI!zWCKTen5&ZI-VRdZVDxd2T3ZX5SnrP0y0q~;g78(6-1
zeAV180I%}6)YXfUXvN+XrCnLU{>0yY_30B8&Pp7%F(HVfEq<F6O6UUCHSp|l2RjuK
zHuKAB1w@g4KzBmQu^Fu6bJ|5VD^utQ{F8l7LKqDhhUL;FOkwBWC}yyQnm~1^paI=J
zLDaz%@r&{7BzE5ZlEgxjF-%|XDm2X$Kw%Y5L%Z%wU@3gNZ-%oQLo$<BD~lXIsxhBv
ziFz}EHAFYH?b^wmfAKu3s?oei#?gW>_k9xcKECuMB+U@4nP<57;knVj`rmRNE2l8p
zWtX3h3kDE+vwhlto)bl+*-DY5e`9Z}ChPlm89?0YgZr)U?C7Ub-%pdRSuEG$?IL@Y
zK3tXXO$!cVMg13<$H~$QSg?R!K{tawbWPGf>&3GmX^BGyjz1Q$yo067#B+M^D!MG<
z$OaSorK#Sx@o5>G_*x*u(xD3)YO}Ml%uL9fo@OZDwTguhpv>Gv7g9<Z_rw7sQk2y5
zeY~=UJz-3@>wT^RGShlg+X4pE=`Gmxg7g<V%B$e;N<jy7d{xKojTz7>ot}Zs$Sv%%
zr+R5`sy3{Q<hcA?rAK_MIq_Os|FE^xt~1(F+HgC}r@X$K9%(?H?B(6`=v&H}<+o`R
zaD3Ad)7MLn1gYC0by*B(;H-Ijq7nr-?0Rf+w&@XGZah3vfC<%EoarqtC4<awOZE|S
z1|)qT@QPL<GYZAGZ41%Jz{{qD73DLaBObq>*=Vz(n{=MDKf6d^9cV6iU4s!#IcJu>
z|ILPC=u<Y$E|P#Rdb&=!oe@!WU!ARe!+|`cUuo~<AVFXgdvkd#6Iyy%bL?sz7pi*_
zovu|(1Q99zH$`5|D6`YeHLQ;Z1<!MSR6j_B^8v*5CT|vmFI4Pni{(R^DG8!N{|NAt
z_pl?|BUa?n>2LU@l^+Rnd&yayCcyL8<J6X3Hgq|ga?f50hY}uZMKyG40Wp+eINpo{
zX;7sLU84k18Gagf&0Y&)PuX|SK64_<_JEj(pfEbh4l#Lyn!x0-Q1v~68##}AbHvq&
zptOB|U*rU6f~~KVQ;9n-IySudw<k;t@yXs#6jauPl$Ets?pi(+<?AFj;3a`BB}{eo
zOlm;nGwTkAUVc=m|NivBTT-aBE$WRzg9fCLwW!zmaEND#@-DYp2373y`WjNK0iy~_
z?yV;U(b;S0zi|#Z)N(Yzu(MJF;$Khp1+)pFv*&z_nfA-0D%^Yavx6E?BmFTe%TWX!
zUJe($kcmfzUCHIYlr+I#IEJjgEsCDnm|n2pP(*+J&<h15XafG}Y0m6Mab(ofPTstw
zgdXh^Ta6%UK?t92Iw?mI;YS80#W++@O>wyDz`7PJs)W5ekt2=ra#vrlCaWSE+q<70
ze+WR#b8y-^A&WfVXypJ!9dV!8_f9C02v7GP8gsuchje4Aeky;^KwJ*vM?LIGAR+r}
z!6Hi@k@tSR+UTT()Y`(YAq_Iz`u6oGp%ahn!U9*zz7mkuIm!HFH43;-<?UHzQ$!5z
z23Hdv6VX5SORviIX@hsbCGt&BLU?&m=VN3NDs1+NdvIR|kQDx5qmMFrd(eoj;~5Fr
zWnEfzSk{G%?k9CsX)0)~yLAPa$jIA`qGjQy52D}XRj=2mqH{WhSsGeoRQ&tj##3HH
z5Y0c5=UcCaoKs1EzbcT?wPn$lUe!k6Ti}qAoW7G&bj)iTqa@U6cYosTSrcH<@5uV@
ztbu+^6g5VlAtBXKC79x&!YTU;|FS1FkX!04yTipq)avp@hxq`2TStl7J`+v!K#A_^
zD<1;N$0~;(anYdZ=~7vpqbABoU5fapu8F7tR;~P{G??;#o;ga<M8|mgb@#`qp|80b
zhKCK!z$DQ2$6AL5x?KDbWa^X=yVdiVoNP0=IGu$nA!?w$qVYf3EeeSH`7g1R88cuI
zH9jrksEz{FKBoqJkVA~3k>T{h=8$J>dCGpT8WKnreKg!6g}QvkJGG_Fq5j$a5NQEb
z^m5m=4`I7RQDA~?z7xAS>`zgbu&Gi;;uTD}pA2xQ-!Xx#-ERiH;S%*K=1M4jiB>A-
z&W$)8^jh;LnL(@Z>!9%l1r*pb^RzaU8I3bNOFU*_26H8OLPQE4an*T#EKl9S_7;T{
z+KtmdOYmS}f8Guk8TGtR3SPtx;<ZG|uF)XxPds-9UKTOB7Q41FjbT-Owhq<YG^p6y
zD<*J63fav@xj!g=gB`J*Y~D%+XkAaP{TwBZc(}|zR!hC5_Nm*8hpPjGS0w0<{SZMs
z^GfWurTVFjw()k!zEqHSxbIcsMIqGm;X&7tu~F)4#yGmhL{o^l_eI7>0f##Ime<ef
zOi)?GrqMuy2}~4l%U$E-N1G}ywZ^9=sZU2&N3dyQa82kloU!0RT>;6`22MYzwzS8k
z-=vK}@8JA@{v8}h>wv8?d;28ym07sb?juHUU#&jyYb7hPH8=kBDr$m?<GS{bDajB{
zdtPFq&NCsZH!k)(8mD$k&diSu8i0R28_6n=0o@Q@8`5|(N)@|2+FGD$0CM9>G)Wse
zlx%GvL^JqKWyslnh`Xi_84R@KCm%L3mc3gZ&6oPAs{Nj^1E2Mv=j#o|0l#(ZHQj$z
zW47JYjfIrC*P41zVLz&VJ$@A{>XJRrP5w+R5zUzijnReREREJ%xMi&Oj`j06`*+kf
zJ+Id3B^@xm;o_b-w}657+Td}9dg|M8DsSU49mq~{^{|ne$9B^+B32l(sm$Nro$mRd
z4gAJp<}u1Mm;in}_DoSaMqLR|Vlv&)rzyvb6MkWIN89*SSZlE9m<LnR6%<faCKEmU
ze_|*-NVh4r8Ebr5{fk+P0=u{84|u+wz{b_@GQJ)BgvlT1k9%B120fMaR;9B)u;o;-
zs+*f%unf1L?YbSG>GsRe>T?;#;-4(b#;<o{3|X$Z4y7beiQ;~ymNJH=IeN*P&GlhE
z`)yhF8Ia(I((0~tnKA62zn{&i$sw%6;6JzUCL$DgH=5WEk798fl~3gSMlfcJkj%vc
zM0n8g=G3n4QH<|M$vL~wG0gD%F4MJl1VDExme=UUFey5z?T=YMFcea`OKwpMw9f3`
z>*g|sy_3qJbLyMKSp0?>Oy#uTG_!O1$%!%S+f_Q{8O>jqVHMps(qT=gcl@XkpE8bx
zVge6eXaB}TYM5(=Vm072cTn`fn?JBIyK*5X%Q=j^8HZ_nRtLXdBTp*hCa|xZV&1zr
z7qD?lyIK|zb&zp4Nbzo;#Nq<>?&-Y0hz%#?yE&gygKsQJ15-v*SOh=uua@>Q*1k`@
zU#eUcD7URcBzu2h{$sYDA)6~$;x!FxD|S^FURZlkT<{y)7MU`o&iujLzzzH2rUJj(
zD<+3ZX0faHL-m1k154Py$p5Zc83OFLs%!%0u_yDN@?JY{Vz1VJsZcbOf#*-fa>J_y
zEG8)BkpK8LmMfWmRxL>h+(Ir~bdy}dPTVMuZ~IDzT-hTpx3eq3zS@WcTJ|z#;?|Y9
z<;;L87}6c=Zz@94-i5llL#x;$ru()x*q9J!u(8_QwgQM;O$y5;tznnxEHqCJGoxtB
zal+qQ3gGm8L!Cz5z;2IgUFZG5ieB<><P32uz>{Hfm)*BEvAYYoFPx=!{%at!n{+xJ
zIx-#o*8go|A++Vqo3UJ|Q=ZN3gdraG>>pm^9;QQsBF1)_G+yMN_s!jVP#&&4Jl_y{
zk^y-On7SED@FTORZwvNO@^IoxMRp$t6FQ+Q-|SZ_fI7cSm+F|w16nc|=^0{1YlAj<
z^`U|&MP~MO5{o?W4|%pf9$`h^5An?vfx?Jm@OJaAUOBKf=<$ve;Xu9NM>S<KM9~>>
zHPYoeIY?)Z+;$1$LWTo#%^&`Xqgs|bpGwQ*!0h&*j1Z9*eKel9;U6P~2z<4d$(S76
z+j>N~!o!cA9Usa#q$P_aM*0fMf5^cp)t`<J^99h_dfC;g3OUr8@ua3eO&(T+bAF5e
zCy2U+!<nO<@#vbDao&Lk@?f~6iBb*-qmt7mG9GwElqsUJ|AQhPdU#xp2b~i|+T~}`
zxw({4+~@#RW(p6C4Sc!P1>)#BN1zgypemYqXCG(tLji>Na7pFjQYbl`bHBU3I^yH+
zN-@JLLG(b@%uJ08;>o%1AmXEmEPr6P^NW>%H**1XTF9YlopbuW7y+din>gp(RfQ}w
zj!FGSd2}yyg1?8AgtA84gb%l>!{BPuKgWX#=mKu?qLexr)tiuYxxBStGvT*)*s>zB
zH4G^t00nhEK6y;4nFwz}tIEC7mC;b;WsAE;+9=A?Q8wZ(8TM>NWc{*LMRk8pJt^eX
zLG=4@yn}bOVN~}7Z`ryU0-wr~o6mHRR>G#4O`|Tn7m@!R5U+vkLN=$*GV3Dwwf>EI
zB?D;A9{VE7t%WkzUlm?q(?uK49tX)48$s&*Y-?6$0varvw6-bKL3D0xdM;oJV(%2s
zCh8K=Cs}8C^)YRP9k=*<{w%<=)$FUccKW%h2KRPhDFum5dkp`3N&~C!E%=!)L{#!j
zm!cp^Mo!m-ecqRw!2yD;glInzUBw~SNg@%Q+n!Bo%rFNt<f3t@gosF1*DeHeXdq6#
zF$ZrK3&?$#XZHO75p9(!9`-$}jF#N){N*3AfZ{a#<+(cq^g__A%Kn)=iaa8pCaY)(
z^`9<IQ$)1T+`y^GJY`7~!qDtyrELkKFX(Lrc6f=6F-+>uJsjfCG=HANZwYVYgF=1J
zsG*qShAZ|-tVq$U$oy)v1vGn^b6M=#>GKJzp4>aWw6)19z0b)4tfA#Qj$aAszj6O#
zF5N^eZn1fAuG<`VWIh?=zu=Km@UFT7wiT+J>UO5Cr8#KdpLEYlltZ|oOg+_3de~bo
zd#1kF47S>DSA6f0Mw7vMGlpkbp@+HYv!{R=OicecnO7=~W?ZiJ{t4m)=H8Rm)Ib_M
z&392rY8FP6vDpT57as5-EjE0d0BC%!XnI8whhpM<wZF;mL6^1XkwPZ`0gV;(!G{;s
zWZbnrRKf=`QP)FF@~D9E*&Ozuu_LK@3p438KG?3SZEGwrg<Isv*2ZK;l<>Rd^CTxf
zgdASlNUSjdR{gT#5r!>{kk>Q+W|I$&x1Lg<?=^;!@jui1+LthUT(nAP4<Dpj>lkt{
z8N<?1=X>8pCb0*L0W&IveDHSmWL>eL5zHr@TG5Z~zzXu1XATDPfz@Eu+T=AuIH5e*
zK%Rd?<qRp_TW-q-Q4#lC+gl94TKxT?UEjY`jrWFLIZ5CHPPZF#apDHh;IZx>aDSTm
z%}0k%Uy2WGj;rwn?Qpekx<+~M<3;Ko$8R7k$p`gAL60|k_23eEzs|e9O2sn-%S&kS
zLHNL|#bXOSh>(!|FtxTpm8UH)e?7zp`R*epRx5QO?%s<z%ffBy!cvsg#W+5AHxh8L
zT~ikXXSv#<dFX+FbM|W(=Y#p(o8~J;I*>TkmWL~0fFpZ(chHa@hG(NB_Y-v>(vXQ5
z1WZ6kc8^v1!Vmabv#n1x+Hj-wTN7&wGfY*zFSWZU0H)iMsv$f5qKkT#<YmPQ*`1*c
zK5{sK#ZO+>M=8)D&-#z?EgOix5l#@E!$H`VA=mF46d*lSc%Eg=0l5}6evRFN@ZW>{
z?`#SbC{1Ly>gnf%BRG3Ko?aoir&vgoZYM)(=;7Br{@hTTwpE$9Dhz$6M3e5^B!l^5
z!RZIeyrA^qZXg{|bZ7s`hwF^U&^X+c)$hv(^b>8DCc?y^ret@g@iqzUdU2gjZu~p`
zk$<IkO&pFHGw#ZNPXhI9^MK(K0`RGMU&#JDl5iz9*QX+t1k(Lw7p5-Y;J+O9@kl*s
z$l12pPYNc1Na}-;&O3r&WF;W}mR=SVV#f}0{6~Vd&~qJMtA(Ik#lA9RRTeJM(TDCj
zL4xPX*SFR;gh8};&)DsCIdEEUy2yQo1cTzPjzadLQ2XWuA3p~ko}PIim+Zg8QT`il
zHML^UrBd2Mr>p=QeV!MslS#0luNR?eBmosicYi6eQG|r^H@-xDCV|0X)09cOBv_bt
zICKOnfxx$>8|`9b2(=JZal9%G)H@Wjs};)dqT29YydN22+bmaQ#AKo3BKczPv<fsl
zLODiLWQgH<EzJH;7Ovh8)Y~nq2G>gO1an=X05x?%i2Ju3giC7`Nm{FeNXy9}W+82e
zppZ6QhUB5}Ud!!LcMa%#c08x4T^rK)&N1Y7;vp=(!13ZGO&Gg&@0e?r4(#`6;ShMQ
z0Oh<438RO!fM=-@>EG9dj+eg<5o#5|Hg>$714jTStHjga;`Cru1=qlus|2#?nw}YH
z1ZaA=XSN|<A407hr}1IRFm7n7o3=oJqZZ1$4|W&;`_hnS?m-oh%#FhSqa(t6lPB{>
zMkClFNm9MJR3Rom=45;e0j_&64w#x4Lm=Mg%JD)~P=089!QGSqBZK(N7GD#1@LRjY
zS49mB0%DsR&T7G{*?-sG=a@nrY3iuSEj4(O{X*K2rU|=a^n6^Jsqpl?((mnZHIT0I
zPK)SNhp9f+lH)u1^7`L(X|7te9S-`isGy_<6P%&P&-Vdfj3nynBQ<akSI)#)szC4Y
zfp<ejG-$~Z$}6={gNlxD*+^3*V0(Yd@?Injf(6RF)8DCrg6nA>PI(2W&ngflVKj(3
z*qU)mK^5wcRbnUq$$?{2`b6+B4J4>Fu-`=m44>8;ZMVw6tE5s+-d{BMx?lSIjE^#G
zP9AYHdLsczur6ixod%2ID!SWOl;A{}&w1@F5n$8L$>DFJL22HH+X1eMFl7EahP-p{
z^`YNS_b1YTPdvl*yomz5bk6ks?ZpqdMWH5|$7!(VWVGmW93IrzS54{yxZypA;+aG-
z8VnCa(aI;~z?9|O>fBd07#Fa&i2MkU``q`jbAv1pMYvP97nwjjjr%$!0N`D~++eMq
z3>;>-wf?u69&V7n$J~|!XbG#?bCp#JV!KX1Ne$Vi%G!M)tHw}4fp=K*=7Kn=Bv&-t
z%iN&mhkffk-)#!cVT=AE8={ah?DHLK`$OGef0g)M$`sgxUE7QlM8HgRY9W4fh3c1{
z6DM`n1TrsuxYgq&1XhYw&8qdw)OaPGGxjCMAW}50J~f5|%aOn1uCPpH5>V+qyk!Kn
z*@g94fdcTFam(d^{W3M-lFNF_ej~UrtHP14!w*W1y)wx?%hdNLnFiQ04Pk10Kz9?z
z2M#q+aI|rS%G3Sm!|@FRh(0J$xS_%WY>s;-*|%4z>KNzv{9ywKI#GJV@jMq?e>q6B
z30|W<a_KwuwMri<Cc`duPjkSlhJGwxe}npK;3S=hls;Igcz%}3V}}C`*Sj?oH>qB<
zpD$j8>wyhxzE|gCHt@Lp@dDX&o2uX5E#0uJ3-_By=U*aL7!taCkp<`gz2z`dIHwCL
z7xk#+qO5T43}g0bAA0b=(MOpX)Pa7_r}K-cEI>7OV_L3dfJi%;$C6Gvef9|T?+-f`
z=zkYeEG5DOLnj=oU-f81)ZUo!eHtuq(vSc7mvCl4myWu1xM%}u)`CZ$zyfJS)mMYK
zSfTRUp)Ri<6o`c*#{`eC0I_VtZoYsG0#CfSUg=GN1MW8nnK>-*aV0vy@gxUeTMTQj
zm?&`N3nSx(Fe^N~JnyNg!vz%11<u^3WO&cwBOO)53byX^UBsQe1{S(^7U+?oV5IJ{
z;Au86-Q+2HCd~)L3J|92B|)Uc_fJJ8>=0y$f_@wELwi+c*W3*fsP$GRl^Ah=`Wemm
z8#{StDNN>W(;&f@aqsSr$2b9d@Jm~+5(kgjjT-(96M^Ad&cnHEF4(l*q&*T80<&37
z_07jb7`b`Wcb5PUn3x_-$cPq(`$PGzw$4PD8mp8x&f^7h!CDU{c~R)EkeE+aAOfO<
zi<Ou00V&aL`dp_NOmVdJTFwx_uVw9-Ssp)hw;$bgAWH&7S~sQxvI*eXviZxPOaLx;
zxE|$yAO$|#nwf2v2@va}c=m1=4(8(TZ=`3*fN^g}{_R5qptGBGQsfnavM-%J&A((}
z$~Lu0;Q#@Sf3<h{aY`8G<+I9N1?54RBCZ*IfdD~8eiC;&M4&#x8<B1Bz<Dgn@@Fmq
zj8Z)lpB@ndx{I=A_K6C>z%#As$Up?<Uk-<k{}tcKGftYutRiH;yx#Z8f(VxGqC(HB
zB|+PS<aEhS8A2JjezYeOp<+00aP+=39P=t$?5t4%v5WE2C%H)QaFa9lD^(T<mu&7a
zsP6dXX4$!*M<kFcd^odUCI<>Bz8<F@se|Y6XxF9z8I~F8iz;p9;XuW?xPNOJ5b5w_
z_|ji8?A`PE)Zf#1C{H;1(tn>8To%Mh{_djyapaNO@^uB69Q=BZ={5nXHSJc0cJ5Z@
zo-n&eq9PbDS>4&Umk43*FQb~5b>M#h0096043~E}mVXq+?U}u^xA(PPUVA;qOZ|w@
zG8;%lk=39Qp+X4B%+3fAN*O&*8Ifcqd&?+$kMQ&Fxz2Tc&-c2{x$n=d{2<$n=ZzE?
z+ooFZRuN!Vi+y8BP93fb)7VedNCWobqEiWj5~SRX?lB6`0GYM07hh^+pkYD9a9dRg
zRt@7b1tvA2-0(+&?Q0zLczdk-s3}2{ZaEvXwKh~<c~wYx4-b1uWyT+9mEdpWpG=WX
z9k>tuVbpT6;57O7I%OUKhD@KwY#Ql-nd$4z&2m}r`KBaS#z6pP?Z&p_We6-?;^>xT
zmV?p9#2rGq0?=z*zVtB&fOw^^j7v=p<c3Q0NuT7PJcR3t44*!<tMQi?%gBLc#`_oM
zv3SsU*w?s~tPcT}39KI`Wg)e&x073524++W#|kM);CwW+{I8oV-0C2x(Pm3RwGa#+
zSdifO7sj}yT0C?mUDeE_7l#Bg2R*ijBv4_T^Hv?lfva1SWYbL%pt&?mXPH2PH1(R$
ztRWd7i$3EYy2cOH2wT|ASQ32X{iRE+lm_o!n;F%UJYZt?Ifwcd3ADs+NQK;z0*Q#1
zLi0yBV5jJYuGTRUbS=IvbP$(>R1*%Gf>36dVP|)YJDhWtbTrGcK^!KRLJ2?TXyMPy
z!I$S1`oLH-wjO_347z_1)p$-(z)lrH8)>HxUX2?f|51s;!*0`-lV^4jKZ_T!H+BK$
zJGf4k+XzF;YOOip`zjLK^=t)w0T58tn(kdE0DiCjeQ>M)izJSf>_sR7oOT!LdT)9Z
z>TSIVq?U1n;oS+Zu_y#|#KAUchX-n!%Azdddy&hte?&}CJ*XF(Hi&NL0+IH`e!Zt{
z$fI9G4uKV2Ad~8gO>gG_FIm?u-T8WCU0k*#Ohy-Ue;zyia+eLfW_q}9F=B}7l*lRj
z%R11Zx5nvkiWM|SQDKAx6w#3^JIj}?4Rr0{Gkcj#AUN!ztEW|mh#%y>Uzyf|=CzrG
zg=Gdnavm3a3~xsCuL`S>D{H~q+nukzMA5;z=Cvcb3>}DBXgcTxX#&OlW3PpLX~0j6
z?q;|2FC@-N!X>s_1G*iHf^1$=0oBhY*-tYA$Y6L$?Vy4N{Lq-+E~2J{jZx+xKK3!B
z)vK0i>!~`pY<)F4pHB`)KapEYUYtaf7@0|*7S-VN^XnNMfn?B$zvP4aF^vr5l*KYw
zsX?kfxz|;$14N^GBc#agFR~|3Xs`OB3XS9yqD#Sh2&agZmKWtBqM_}?TdJ%I^?#!j
zJC6NBObt(x-E>?=dc-&6+HzHZ|B0Lb#k0FeUSUY~n8hkGs@on%CaeM%>FUah3wDrR
zvzB9@&DN0=LA^9W3K4j@yX});2k{!^;!C}_iCq5a<z~)Lgntf(7f{X}#6lIN$qe2`
z9DnxBS)?n&t^ME2_r!LP!G}VmsL#8I;Tc;7d1+-BlEd52I`1IOKk{%H0{e(EMMd*S
z+2P%<zm9JkIjnzIulr(32G&6h8LlKHu=O;2o)@u;WIsJ8S(HW&Ar=W^ZQTS2y-3=Q
zcKwIE{#tzSorV&QE7O_?x)Y$cW@_m_zdghzbTW$X2^F~U8hm!7BfwQ3>TkH}eZ)&A
z!n8_~1}=zBU-2|ogv2dJaSmQG;1a9yV49!>(Uva`cV8&Lg$*~G(K#|`A8PxYUq=td
zUVravPRYaPuF5{@A#$+aHuJG-VT9Xknynm&Jd`a~Sa;1*K(XO<OT~RAh(7Ks9hoTy
zW-;?!L!4BQER`CrLSTi&jM1mZ5A{eDmm9Kwi5e{L`kXSj%LZ~0H;kzs$->H<PX4J@
z8mPbR8ToRY9Vl{C7Ru>mp?q1VN97V7q+EyzD!<AJ3AHcOe3J37LUt|6ke2}(zd!7x
zX61&RH!FV<H1Tk%@|3srE+Z^RaWC)>@IZ%q?6(gyIH*w>sJPF_42lAtvbVnTL7F0y
zUu6Lfx{Prio06>1Ys2W`KgADpWwmEp0&s9#^UfZnJsW(PwoA2<6@vJ+(Cw#gI6xbI
za;Lmw2hwxP3%ATfV9!N?jKcG<e<$^xrwk|jb1JbhNE3yc<URfTSR8Z%+ni(-7c6^;
zHlL>!2Zl=p!4H1nU@IVxO8q(y1R{y5kAfv2BkkTK3*e#S+_d%x!UsY7*SOkwq(CKQ
z_p{qiJlyH2so7HHhnUPYdIwAz8iRS~#gb&9h0a*G%S;e%j}h6`{BfXh!dgJ%xg3=A
znTnBz3xk>ta%2Ex!PCtua;ZfgB0Jc^m{&zWa+tM6h*=)o?(A(OA6JBS>rf36K@8T8
z&DS;cDL_tX#tFVq0+^>}cs}wMhv;1Ats+wb_#d<ETZ~i!-n_R813x4n@Ljm`s<0C9
zy9wmvqsm}Swq8rXNkJj2p)K=>5}4ytuWcPwfnWI(-Nqr(;E-o2ZWyEtwl%G>|I$=p
zwKKt@uulfAw4S)jx2Fs<fub)y8>zzz9)CGg6c6WWoO6E~5rK+Np!z4fCcF*Q%yT>=
z3nC9!Ua8v=q35}d|K^$&r0^%QSYJ8Zum3m)T;+&BJw|QJGN}U<;)qY=NqIQ=RylU}
zy)v8+T)1_uQxBdR+ubyxP=Gck8jX=HB@i>+XV$a^=)gU%uJ%^|I`aT6+!_Ho;thxT
z)bt@=mg8uBi2~fUsayPh@$h~yx^SsIeYnL&SbmYJ0OZT`H(T7~U^+U%jhI7%-^p=*
zjw1^2vI766TLuTlYQZecQU>sAz*UnjNgjH{^LH9QO2V;?iPX^`16b3#cTW0^95g;V
zp^=Y>!8w}X<zE#Bke1JsQ5Gr-iB9|-%<lw2O9g+={Idbj+UWh7l);1dXs>I52@gad
z$kmS525>iqbl{RD1DUz_x?}EaU~<2}Mg5imG!?#dc)BMANmH5k-d&@E@XljYtT+Q`
zrdj>*^q3^*S8Vn<|JX+|u+|d#W)fgC4YMmD;=pIHCRTrJ5qa!ObNap=309Jwd?g!1
z!Co5)w#J$ftxp_9!oT%F-&8V1j9CPBcw%zizv@TB%WQgjUG+hJ%~7cSy8zrdn^68U
zW)5x4eWYGJ2T<d#=Jw_lAAD<3{Vcb>in0vZ7qEH)#KpF>bH3q*bts9c+S^1gx~9CC
z{e!@8V?toi9}f7?*CTfF%?{embH03bR}UQHG>=<eU;_s74qFP-e`xNz(8x=idLWRa
z+IF6q8P=;d1LipPP||uv;*^RmK);rY-w%2?@<L=GO=}OuGo^gazn}v~c~Lf`O={pB
zd?0^$?jPzJ9cL68r47ZykH=ktDPY=2bG+;1KXjKqKuF=M7TmJ3uxIbvN0R5kr1;)0
z`lr8;Q<qi?oRjicHLbRhTY0%+WzTldviG~!NoJbB*g7K{>b-{89+#|)PTfWy25_JH
zk)i?K&x$;l1(p!uOT_mTZ?;g&ze`VUEvkcRL`a}<_zcoQr^d$Fxry%iPDb<{-i1~K
zm6HNGhU_%|J<-9uiCSOiYfjHogY}+}wz%6ph%HCTc(>aID!+H3^Dd(r+)mAJnn-R&
z_B~+R;?FwzBAdSh=c@|$sLifMhrUKEx9J(hpRJ>o;up(2##DeVSBTlZpaNCpvHYuk
zaUGq#A0fqaMg=Oa`^i2_Xhy^KnT~awTSrf9@#bwb5#efB{IuzZF7)WX!nV5G>*$XI
z!<Z@3VZFigxgA?S8fG48P*A^)?r!TiG+@f`d)03K#`*|)!Wx~S)7?N*opJ29NXl?K
z_OT8g8%O`h-n)8dYy<WGIGa84RS6O;ez{d%`Hh<5URu5{+eDwYooSe}Py*QK-Jsc=
zMg@AWRibaV(58#znGr(-P>GRc8w~h^F3)==j*V=ir`t-u6(9Pe8QzUqhjt#F=S|H2
zs<(?CbiX$-A}7EZ%A@b%k`_@`X7%_d?f=lpXOB|y2#O%wm6hNwyo}E9Z?={u?4#5H
z_DxAw6hP!PJq$irL1%7V=FK%B!)Py?{JEMb4+ook+7>ITXdDGg;B8lOjK-HCTx3!X
z8txjf@A|K!#rd=<m+~mE&WCB{J@Rr;y438)DYS{ooOL{3LraCt`Y=|P2FL<&F|>4M
zWD8A~ZF!>?NsV=28_38nJP?&kk*WF}^wWn|T7R@?u@xKIpSfyyIJs}aU)b>vWqC<C
zd6bhLi~6cSX`hAzapa>U8{+{wai;XlV*y4?qwq$?U1l5vjxX*ARFh$iCs(NqteLRm
za_aJrAIm^mq~@gQ5ejU=^TFDu78dNDW+SIEgA9nTD;1L6qr@)s`io8KvSD3wqJw7=
zq(PqV#nCfN)EM7l+t%mz>{!7*t?R0yG$h?rPJLcSgBcDG6^LgzvBIW|hvwZ<aNM1p
z@njYqHu3IpEIT(hrq$YCIP*jbe$I)$(k^Dex=#Gbu%O_@kVl0#o|;NQ@{ijdXJ?LJ
z44?PyCypM)nCLWQ9L1#IOl7ZVl@$vn(Ls5y#8CjF7xYxzJ|YG3Y>(^u4p^}o$bWcs
zPzY<MozSsnkpexd2D_8q>{$FJ@2+x#2v&Y=)SF3O3b-!Z({rTe#6FfC6;@Rj!(261
zwe{Sj;OQ6ZuL{*%7>!DsLQ%aq*1r}J{jNm{z7Fh!yo~3;9$aw@cXOA-yiZo$TCkJ`
zmZIpGlP~zNsN_cZs|0DRtM5n&54#NHTXVR%e&WZ9*TRDR8F3hH?=kZcDjZP$%zER^
zEQC>K%n}cF@YsD;!#+(FJXD?L!N?3mFvF`Wsdu;Kuz2CLQm@ytVDD|?RUIRWQ7)|c
zsU9d`BSTK^&pqTJMSuQU$FdmKGAdI!6-dA=6JnloKT(7`jg&#9_7d2<3~_YLPYF|K
z*zwQbC&1o?w1LEaNvt{Xq(rczGS-=jp{B0N@Lgr9?z*is#>!q>`Gr8l;@i8=#ZjpM
z`Qi$5M4t@S+O!oM(?`TUT^1Cc`k@N#qz~es%<)*7M%J%23l*&C+w-@*b?T6K>Y<5A
zxhz(@ntm`Eu7Ww^XuXpMG$A2(7^iUfpSD=Rn`ZY^FejVb<ZK2VFtqv*8OEi6QGWQl
zA1<JR-MXpvu|Z!CEKL7hv-qcgEo=@vNpmJ*^zvwsgE~N;6H+RirHK90qY4hSRmR><
z67PP}(}x42Xdcx)MXWCue{6G)fKA(B{M~XS5V)t&qC`o+zU>z_&VNwAbVhyTJhn)%
zcjfxQ@JB_A>>(1*%Os1PSis%UOE!Rej#jo+Jc^jsqTT~n5oxR_qBi9XlObH23F<x&
zSHPV2jtis+ievS6=n_b$456E`;pq7(IgIL=c&NXf5QgV;+>CTKgx+kMs%x&YSVw#C
zO3e&6X8eb$u=cQjlhK9t+eaK`I{vZ0gO3&K#{Ib5%WDWh>p$Pn{XTq;eC6DrBo$^C
zwJACN#Q^$#7ka<jlEkP_7+Pv3uA-`zGsa9-20%@Djw7600s~4b)|R3#s5a7(z&%I;
za$1e_ZU!-oGQ#PbtI;%4ShiHrXGMZ<3Tk{}LL!(F--WQ^v<)QBy|h@MO&`z}-g_dC
z1Tg=wq7Ts<`^dKfMd>HU^x?RWEJw{gFLskm;R@~v1vrH-vwf-spmXnF=YGS5F~=<X
z|H`9+#q}Z0!#D^o1?hhUlGw4~6N@Jg=x6}jaYY+^5a_!UA#*N-1?ybZrH<*QfwFBC
zw&4IhP;ZW3qdLQYNf!rEQ!3NKe??6-xzBYW#6zJqI)xge!YSU@*QJH>V&~?)3LWS)
z<QHnQCdat^=2&)EY2kirRi*EUHiTSuV`!q?MfC=^?+JaO0nOJr{JtF8z|XPekc?YH
z2bZ5V1US$@ZpbC$vldz~{CSl!fN>5zVrBK8%Rg#hx^exkd%PyNFqXfK;T%ILGxiMC
zUsA(=(}Fpo;~G$-agffBZ$$&<e16WFP($>_pSm$s4aj$L&%Av;4`E+(sfc2x27~Qt
zEy6Q(_@1Pv06;*$zi*b>iM)<}SyVPl1@AS@6f&38;2WA|Qhad~5k8S+_F<F?meI<N
zK1($ao+)JxXqZCiRhojuHmIPVc9=i<Fwc^y6Nk#u=8$%}C()g<)Zl;4-6Vvl3YDy}
z{&Ez{$aP*yW$j>UV35Az8&;qK8x5zv!sAs$G*%@be2*H)L&dfIB~*YInBY+|yN+o7
z((7nRp@Ex%Y3({WMDXhkSg#;%A$t>ka+H^7VWv`4^Ro;QIMmWPzk2K-XZ40?42<aD
z^5gDNvNB~*rFtb)l>HBJ7!nAmwWf#NNUngx^a?MYMX|*7?<0X{>0fokFaXvR0*#$Y
zu)fGy7avImSN?Me=2~ZjH2+2u54Xdd`}c3y#rNc(O-Dw&5W)nX-IMO~&?<pT_N(_o
ze<@%g-tGdb&jO8h8i5P>hkBJC6sfF81s(Rp<dy_hczjt{R^EaDb!LjVu~2I8?Rfe}
zKc5Z0GW57<>?lGDw^O^*3JrL|MYpmpc9`Jwzl*n5gwqt$R4cdXKq_9Qu7IBts&olf
z3|$KFoy?h|mX850HX2KP58?tE-%tHRXB6Ps>W!hjentoyzWk__mIw4oBc+EX<YC{V
zIe7UK6Hu=!e|0Y51^pWvQGOxvkns)+=xbturP49c|NM_a++w}p6?J)Ve7xVhyT=Mw
zL`K`m+yvkntfwXK%Yij>*UlGtcCd9;|Fif&2<l!a{<tzI2P_V9R_AVVfDgX{N908j
zXq1on?^>4}*yYUSEC1qztly@5lrf@kKRxVm$&?&qetbAmb&4B&4Gd!qd&D3)srn#=
zPagU?Crkxrd4S9b?CS{<P%^AOPUa~OeK$|g7`)_zf|9{D>r_eDT-5u<wjdAb?`X=)
zJ^0~Al6U|suQWs`Ef3fxDnLj>yu9xPK~NY}j3>{O0k5-#=L>xl;R+j7^6*t*aOU|w
z%t^$943)KjABg~M16`C=UqyfceUjAHBnyug1&)Wz5MXFkQvK|-DDcj!%!=5_!*h0!
zCcaSuVU-)c=h(zSwbe*OYfJ%N@6GL9j6dW<efYv{AOVyXyHmO{hkH=ew5^v;godX>
zQ@nnXfX??)l70}N%hLawz;_k+fc<^F^hOF!T$QDLZ>I!?kA||z_|;&rz3IK~h%|_;
zT0IkORs#E<v$b|%>fl;5;`Ejh2NxKV?Pi#j!8E(}bj@L|j1<u!ljXw01y3t{yQDJE
z^4u9qD%FDD+XegcjIt1$bDA!fRv9$U`hGoOs{=g-x<P9rvcPQ3O}<{D1O^Uy0Yqv&
zVD#zBJ0B(oRh!Z7l>$n@eMvQ1>lFh0cZRM1kjaC~$6=%2W(3I83f#qB0Gye;)*l1%
zU~n}<EGS+90=q(ui;VQ4iPqC(*FYX#RitxADIVs+G0Mp7aeZjl+Yq0plLyJ{8M%N!
z9C-K%htt`U;G_5Q-N<M;a7daT@5qn>YIe&iw3Y<s?P9_=`eotXi^|^d*W%!FlwZzu
zhXh8>6*pZL@G!F!w4U)n1mrht%$&Flz&~F|fY^xxh7V1&RCWB2AVJZb!C?R|wNc-V
zNErxx%T7J$#SMZ@?V3jGB-nC)(_V;|hPE|-hn!?Km~-V!JdKi|fZzLE%v(tqdBIB;
zn9cyIT08qZw@5IU!@K!PRs!l@N}u&3QbK*wWAjBp5<G3H-$pXUAb*=jk8WZcVdbql
zJ5i+%<BQ^ppZP?=Bth1}nYf5l`9{wKS?Ghi1ZC8qnlMb2O$qJY9YS1Q{Yt1C0|=vP
zW-PK401JUzo?f?0kke{IQnX$GX8Pp5Rmpr1%UsN>?eqhUV$K%iCj*#TS2j+g<AIf5
zI<?ma2GQEks}AWR2&mTiHf&{c!d_UM{pH<p)aupgO5S67a5DSXqZ$u(So>~yC%X7I
zx*unf*5aWHp6;h{w_RC*TlZuY+2j=ZI<Z;CDNP3qSgM7Uq?v$m$IbTl@)XLiLYG4P
zsSW)+AvCT%^dN37$TuxGg--I>Tr*|Wh7V70DSjg~aCBn8ZzyXLok+3UN;s_rs7;lW
zvlbP^MbO&}l#Zi9)gmQR$(oRsMBA4$P7VQtiF6l_Q8dWYH+FYM1D2{u6ZJU<2y=1$
z*TB^QwEWH2qtA6TAj8o5^9|a6NMkV{PWtCBw4q?c!aZIcF3I`n=8bJ3ru5RC`k5W*
zKSs-m<Ev_L$tRITNoE7#j`4l7Gu4Fp=RE3|Jf{XMmfxma+E<a#hw2YD-D}ZXE)wFb
zwW`3PrKWGwzKo1IjOm``&qkB~?ocJjsKSW&Gpt8w2~n85X~`FmjWFUN+%!=I&e}#y
z(z(nd;zUw?if;|l#G|A~cSHrWe(joOG5tjve;%xGnSDhh6MtvD3MPUtsZn)Td=}wZ
zHW`s)Z$~OmgqBbqC__rP;;3laG!oJ9s7B_>Pvi!Jzcp2WG7R=;sb_jkA?8RA9d&*$
z(jp}({gg}@T-b&auEqaG3`DxG_fHHW-ZkeYf*vVBHDd@xJ^61$HG?(9IA#?2d9}gp
z2a6Is+cTe(DxE}*AL};1R5^~=E3_@!r5@^D1bUH}GKmy3%$=^9okW%vgtoZl2rwPx
z_A&m`B=Sz8qE%dB8p(alqS1d}5x&Q8`LA;SMwE+l;xfW#kr@h9FQq^M$}NNa`Z9kb
zI#Qe$eW~XV$MfP@rw0!8GJQq9=)x2tf3|Q}=G6icaF$Q+H@iG|4(6RqHl9Y3Fke^G
z4@*d{uz{<#g&fH7unfdpnL$?34S@jl737lNqKST-EZln0nXX<oi<Ap`Wd7?~MQqPL
zJTpCjhiBV09AkvPNH}4xuRmrTk$pGcAcn_-$+?HQ&nD&&{GArRn>RO+z?h@{3-@v0
z)zfxq?fU}q`y9jQ{orjxMj)lyq(=r~iwrIk?<^s%P9GbnKkp*G7m6JW)MP;D3G=~L
z{xafw?PhTVaUVI78Z17YEDgA_+rjwV738WZ)j_Z)8Pw_0sGXsfh7O)Lp`l)DNH02f
zc5j*-mWd<!r8f`t{i2FFo@E26pgNUO6HEzfjQMq{bCRHL72uTFvx$6)ul7p&j~cQv
z;{VFIO2RidGcfjJ8xi^<d%Rbj7DC(ixz^?+Kqo7}-g<i%IluT}WdD$77%#uvp|~Rf
z@v-jcg55r1(pn*Oq?8e!Q`o#)WRQT%S`5GF1IVCnTh!$;i5dJ!S?#{L;=mlnraiVu
z4sii7JG0@eP;MR>aK}U(MA}w48y-=D+3Qmbro8NM+}u@}YgY`M{B^60k5hw6R_<Kh
zcaB57dES=&UJMMWRg_L2a<GFVeDW{kg2K-hSzjNB0sdP5MOJfqh?>#A?eu{M4hiA(
zJ!>&|b|tusB9jp=Y@V**+2n)k5j_i%24W!dokDFvjv3N*e7y9p3BcxwKf>80F*uqt
z(mZ>Y6?n5+`JH)%VU=;s*uho|y2tENJt)~B-A}^4mrNAI>&#TWqr@OSpIRWRgaahz
zUuyO~7lTf_RKu(ZF_`fA704OP1zRegDi4e#z-Fm6De}^xf0xoIDg^St{(Afa7eOgt
zNskJ9OD6%rq4^|+0zR;5?aaZk$$+$zsl%-)320F&?lnB%2TkFNA=F}cxNTqeNtRp+
zzEhUJs|pr^k%v=XmQ3W}{JcfvqJuPiC#CWVq=<l=yYb44Cx`wh|MARCb{zP0I<iGD
zh=KcUw7}Vg03SM3)iVWTAy9KB(=kdMs4lzmQ-&$QocB`YOqe|Q|7a|GB`yi40<@R^
zW+(&Gv7#+iB?3@+=SmGVNP+uft-St2K7P3|>^;)01a(vxYmbKv_~5P91D~kCTgSxo
zvT`DPGu*fF<;DX-mNDF`s|tTZOP0f%R3Qgnrx#Zy3r5GYgS+0T0=JsO)4R+XFiI)i
zD1FF-SHAjZ+#XW}=a<!|+3#w>(|bx5aW51g?dCNZkMhI*bxF(3eH~!Bo>KbX7e(;l
zsf->HRfW#eo~@FP5U`b!{4sFukbAP&a?NE_V6QiU{LViBqmlj5FIfZ#gZJaQ&C1~6
z$z!r0M1oZDS9Vvw5FkA@m8qLq2__!7e&Z7|0RB?PewDWbptN)6Cvqvk1|Gq?EgHaM
z>oar1?gYSB=X2-f;h?5TlFA{%5YA}_tCLn0fiWk<c86XPuHRq*w*^B8n@y8CQK|q0
z@#}rpy+pu~EsBDh?-<ysSKl=gk_QDH>isZ&UZ5CzSzOF=48pb0wq_Gq=xDpSx=zmu
zEW+_7Mtz3R&TBF_VuS<i!!X_VI&$!-t0zwjFocpos|Y$NY1k=t-Tt!n8}TPu3J%j5
zLTcg_!rY1ke0fUIy45+3+QilxRR<aXDo9ozQ7Z-oDdbI>9owjFu-xyj^CTc!oWW{h
zL|~MOXZ?sNCAOQWO_H!A!8qCWyYXcKIN#fwfbr2`KCNVuo}ct#g3Rr#{~9l(e|3#>
zjbX%;Po^vW!Rf;hmkI){Di{0@0096043~E})qfPn?Y+0`&AqOBuf6Xv(?k-{A{7#%
zL`j5F5gExUw4)s*>U#(k5~<KHGdnXQWc>Vlp3n0+=Xsy!ykF0I)xYuK;1oYzclfMz
zFB>2+f!*bFnK0<&Z_B@OTo7H2{PJ3b0Vdo{(}9~Geq3mcmDUu(#*Z__e-#*@MbCP+
znZgNu7w%A0-Gp$XFy~8qk|l6B-B`NuA2S?ZG|)NcA%yKb4>ze<TR_$L<hd6ziwqm_
zUf*adA&e+4J^bOIIcPuIdfVW{6eDkW{Z0=lA*?-F_}DVj3{nFx?&=Kq#dvT6nQt@;
zqSln?$ID+#q4yleQnzX?gOO2JJ9|tJe^g6l*GZbfHv0_TuetSv)?K~6P<284FF!_P
z-9ZyDQx_N<7w9F%j-Bu4oDjg5XRG|N!Wbmd;!o|D93@ipI5+!$6TnP;N|~IDF?e1T
z?ov+wL+ns)-<I1cfRm(g*GJJt5HG3UkotU%xPGR~*;zmkcYV<i<sLJHI8U-@&Z$M>
zxxCPJyF-FF!p*zzbFU%zXUym3EG-ke96Q2ee+%OFpr*O;HUp?ENwVoIWWoZ+W7dva
zg)ph)YlEb_0bD+^@*+}~1;=`@WBiQ}?svcMYTcm^Or_Tov!1i!Y<_4T)lL}Y`I*4q
zS05toe?w($c2x5V%+Br;#tfSY%bW#0aIcZ-NiN_(&ass0vRo0o@S*O}WQrc_2tOY+
zF2#j{xr$s$fub1C*?BKRM-R4i>Te&v%8eiAYz_tQ6vHYduc(?Yx)AiZ<Kd_RFRs4+
z!t1(M9L@NcQyWg}!k!0F*H>Qhp+J>Q==o>~+{_$#j+>?n$>gw`3*G{_a{S9=?Hft_
zL&UutAEtvCrG#W5B7|8v!@IvoN~6?``U%!zI@~!BuzzM%2rpz5zu29;4pVfgn})*Z
z(C*kPX0arUX`jCuu&K$S!$%FB?VIS3qgQl0lS>qB3r^oOY?s5|hSRz-BswJOI6Xh4
zE{5(yK3r<W3b^C9T@OW!4!u$b_D$>%$Ib5<Z<-qwF-)#@Hk*eIe4<Gv4mlFYvq$l6
z+;=6UF%OO;3(%ojUTp8q8A*JkR<9mEs*E4fU+!{OqC-dDVt$>sG#-yV(_1a5ie9{%
zYdme~pk(yIW@ca=@-I}jJhxQCS=)(8sR%j@mV7p@kCsJ&>U2-l6YAJnDSKGHk`8;-
z2Ht$6%41%D%_mB!1_lIr^R3G1LSaE!+Sfk{cujPtpy0eFwlF8xSY6SDbxZ1x1^N^*
z;Mk2%qQ)fjrr0%alGOu=P^*HNwYj-3NmQH(Cgbvr`Fpmg2UA*^xX`GKyqfg*xNL2t
znRc9;KCKV^htW~JUIp9kF|j#3qM%XQy_u`722e44^P|cKRoraZD$RUT2i>yer(fC|
zLa9sN?c-HyNaUY7L=U3kh6``+{Btw{Hvyd{&Qf(WmNScqW}{(InX&MEpfQ}QS`9P3
zu7SdS$>w|YXgEojFAC?IK!u7^*5YwZoM@Q~Kn4ws+lRakcbY=p->9V_BP}dox^{U=
zjfUilPMRYs=J2ooU{`Xd7JiOcTK-T=#Q@#T<GcMVpq#Vj$88@H9;w<MC^4>s=2qKI
z*W9s$*rkbe9yKHk6_4?<d`Cf*z03X;Eex1W{?&eSiG=TkKfFoWq>cZT_&!()1?Xkc
zvq<73<FV6=PI4(EJRTIcJTV49YTC_ww2y=w8cNr^@-$IXMz1S=yA=rC`pmDAM#9NK
z2l2gU)p14gM2OdID{$H=Ww|0o!i|lt^lV2}+;6;dPO-}hD&nX3z6EGuLhcghfVeVh
z9^j1hXSRkD4RSAPuWO=X7l+C5It3JUs~YX(vxb(NE)&a-HE`TvRxc=11|Ns${F-C2
z1_yfyRj)hhIO)h4`t!adUI?xgY3jFv6U7+~<_T(OALTu<BqD~dFC|7!zqEqF7T>%{
zPgTV3OZhyVLKu)zaY#1O3Vxh3w7sLDf@H{=G*RNi6HeC;au`^_9rj@ti76#aBqw{c
z?%>348NTc7`vHy~wu#^UMiJL{Slvk6!HTHP*h5VQ7;LS+QLUta9}vGAh%uqTo2jeS
z`T$C|l2TJUWzqcPid)6%A`x^gr|aNj251CJp8Z|A4vY9-1oR2~C6wC4J{1441Yu?l
zca6tVn34PXuoZ2FIJr+EI^4h#_CzO5JJw0yoULqjgXJH>)ScPIC&FUQfA+;~;1S2V
zJqzE{C8vlcUz$xGVGiAf*LJT2iQ-!`k+P@RlZ3a+r_6aS^EF>;;J)-v7&q={ep6R8
zNknmkhH>sN1It&2p1#FGNM6ow*{nN7yrs#!*SKp6d`&T|s;q)2dw+N80qH-4UGbDg
z>XHeJP&<m9r}?lpc{#AvahkABA`2YYVFIEKO@d15yy*My4qxf}8DgL!-}~VUV<<1N
zcNf0Kjm*EanIyvIi1uEI)c{Fj2#sX<eb$Z(gLvZAUTvEv(wk_<Z$ueEQy=S(HWDW)
zsj5qqx-Alad(>hqMht;lpV*jY%Yk;Oer|d(ON38|SQNv<5OjDaEB7a}<C~*$-r}ED
zh@hTWl^cx)5F+%#)|`tSV}E+pd*v~q&F{xG?&}SpfP;(XQOt(BLhN3j=x0W;^5=E|
zYYX#il}y_b!G;Z)4?~|ZSkWL{{cDGvKBU<5S1t#z;fo9V#g9H@!!3uM@=NRWz{P}G
zS`^QQYL^RaPSH4U@<{P{_8n_=%hN4?D%tSg8PE9XI!;V8E&AHkrwh!%mb*SEvSSZt
zjq>I*+<3RvP0Bl57s}PH@SH4QNA^!W%$82Pc%a-;^Qn+7Xj?5V7TIv%Sl{9d0zaAs
zCOQ0jNQZ05(lR?ZIWdu~wx4agAlA)CT!?U@gS6sH{mM~JoO&j6y`)wMTbqyUIXX{+
z12~uyJHv$!l4b`P^TN1<oyQFC&|o+B#bc)xc<}j0+!_v|sI~9kXKfD}M7!7pe+}ft
z)~gpDSrv$(>pTmkUW^83(t4W5fAOK2b<#qttON>W|J-l(kO~`|3IdKq3!v?tXSOOY
zByqW(_2U(wg4c@{c@Y&M+ywJ8(|*!;tp8)RbiWR`2F|7=$OvQ9^b?CBh75XUd1PG4
z)d7*RjU4w#BKV8v22;JE93~|zo?7zNfjzH;na(+j;?$ie)&wU7)R37=yuVooAU$Ko
z;EEV_ZZ9qRTC0d}1vxrQHtIn8Su^sR5phi68S16}RYGsZX6kJp9e7VWdYpByB-#qI
zi1C=HAZ5F)k@*cBsNJKhiQ`hJc%E+{<B}@+=OoSES=IsPLQ0u;_Bt$^+-K`GriM{B
zGrc-usUYHYCS=Y_7M1^!V<@{cF!!}P51$MTmbqWGGug@Ga#Q@-cV9Je{e4bZ&qNwr
zqw#rCloXLP)iY7Ejf4}5ON~5Iba?A0F2bU%gbLkqWpPbpl>6*CqK$N@crhJ%(n=X+
zVN$Hso`Tl*xF08<(*@a|5!a9JRl($3VHMVgI%rn*`A%Yh9>iW+-76ofirRd_5f$@P
zwAf9wHH7Fx_^VsnTJNc0<pH)0%E>fr`X#-YEz1Dff7lD?G^k^`+YQ%UTy$J&CF$Jn
zFa(G2(5&`B4b+}kN!sK^M?MYLv4<AMpcc0$|HG^%Ze)Jk25EE*Xcv9w@WKR)<^Mdh
znb1O35e7-_8XZSw>z;ozHG`V7>(bRfk#KjB%%gsPIyO>72D?9)19Qu%4fF&u{<vS}
zw|A{?*K;|&1KTaZeEq6wptLqJJ8ksI3!>qQ#joGCUl=fNe*F9GliJAV_q3_WmWojk
zc~y})02kQnqrTtK#+Ho=Uz#>jF#U7S!4fkokd(Rk^~M_4AG~AETV5q$U&-wK;c6?;
zU1+Pw*shIj+ikz(oY2Gw)fp=XJ!=q3SRD`eMn)mGGpW<>)i7&gU%{R@Yv79FG+9(2
zBj0Fv-bpSMe6YV#f$`EBuH7%KU^OA((gKxl+))u(iX)~^Hdw>1zM1F|buAQ;a=LDR
zKnD4|Mbf8htRd7r$kKR911%Ry$SG$f&{sfH?eZOKD64KVQ_NS#(pSBfyM#n=?-{OJ
ztw*h)p3Jq%Y_5jp9an!Rn)9Ll1?Q4`WNRSt6>u#!sNk<K=a9vN>}Ya*7wflHt2N&<
zA`(25arezzEB_d)M033A$*~A4=sq28@A6v_@8+%)KYcYz%$qNDNs3#6PsCO0C2j>|
zdzy83m&z#7*=ZEAShU8eB-KC*cUc^w{{HG=&`n5Egz8@cz=4s@*r*TEC@<H;Vl>-8
zVBcW%=zRv<z3t-Ey>>_QOD*9yrm_ge*=;7BEta6$kjh@IB#xl}WLMFD<&0Opx@Id(
zmSFnaAc;#z6ps?ex4-BAz>pdiHaMnh0ok{YeBMYF#^Ukl*n;o|#+3I`<(#iML?;C{
zI1C72?$IdzPdghJVq2t*hHsgHNb}PR^$on3_k+{3>B$F1?2yky=zuB2C0Sagb8usZ
zMPi!0OBEyXNrHbS#T2HxTyh<fIdJ}_-NXIe&l%<^g4L!cO<<w8TA$mS4VmQ56z*TO
zVHm{)Sr|4LLu|;An8y(;xb5sawctA?g!O6F0uL2q5Gff<Uu|N-*Jr-x#2l?9&M5~O
zhn+Ekj>gruc{M9UK1-JO729TlY5C}kTel&6n)H#i*}g=CE0et9PP7sy4E(k>+Zn=E
zpMIuj+eISfrWL*ET?Y{?x6l6NV*|M6e?0h7(mbITVt9l@xR=<Kmf6@VX8@zcbv!#X
z{t{&(Bz|^>exmR}<4;<OKFkEq@@MeO5ss<dy1&m45x$>)Z#c`L57t$$M{8-bM8x@8
z+lZFmL~;7NobqTrcwlltLN9%WSiPoy{kzTtF%j)nU%jFWgUn?c2dFbd`c9vd_Z+7P
z(F72^5UmS|KMK=|SEq@7IlfC7;?qQW-tkX!?7A?@wX=zvX@+=y`)_c?=nRpv@3qhB
zWje^%IL6a;W{BA2g^jH3bA)S`<E~5@IwWmMi(5HALre|%x8LfVCnC8X29*}k;EOT-
z9O0cMqMkfo)Moidd>Z*w@5Z2ke^t8|SJ^CaX?ZL@++mqG+E@L4rkD!t?sL40m*<G*
zxi5deEL|nCjQ6~^?$v?a`nKE0ll~Ib1L-`bTFhvl92kFJUI%_r%I{^D&J&mKF2&TP
zu;8AO@Oc|=3Y1U>n2dQAiK->8PJMAUyv-KWYw}PVI(h1^L|^<z*oD+ZwUx0W+as^p
z%2hJ#OR-FQWU@?%bbF{fpXJ1kZwGu;J;<QLzPfa3-74YvbHV*o2sd{1DGI)=AVHp-
z_eJ4rOz1mq%Lu>Bi$(dzxY;yG5TkUeo=PwyGV^CY`N5Bu**jGda<w2M#YyTF8!J+?
zg=BwIgmA_0AM46GEts#0nc+RmhV#{see{wrY8_=|Sl!ZuIQmlL=NWc<@I;^E(pt{D
zdR!-Bmx(4w(5Y+p!HJI?`X9{P6+^G=?ZsFA(}30^Jl~?DxKZuFjjFQ&61ej*$CLeu
z8W7%GvS%rd7k64b_Y&VJg;KBF#R|4)K=9?W-2ck?@t9GZT0-zTv}SK}3|7*B{*yw!
zcSMEol~am%PKhjzIjgDd=FtGf&)5`lKp3YrU(|geDIov;jQNAS8sL#fxF7f?f(<L{
zKdKKa;%t2DB|%LMXp^oKiaa2O#iMw<W`{C5%C9%@^U;7g<KiRNB_(k7MUTmqP8EE&
zD^y9PMg!`_9tp&cNn${r<wLz_HROxD8+OG}6EbrPX0wK*apZPu$4OHSoSR^^d&I2;
zEB_rV`^+tiZ@Dg##CWyv(doV1f{R*^{nue@ptC&26h$VOjg#<Q1)u3h4Kf^=_96T4
zRmAe#8e^|cZ4}UtU9rs82HwG^t`hf@kVC%YRb7h?mP)nBH@NFSp)l7aK4ujx-S_mn
zj5iGf$;=^Y1~eGjXLRSmAyxD?Y4hCdOvj5c_XhO+>Cma2C#>D3h8Gqth=fsfQIxCM
z<<KWxxWw7+9koRRx9+>8NtxC~D{+TI?0fZrWu;13sZtYfy$O5RdPNV@{8E^V<qW~y
zb^5$CnS@eDmmD>i^fA}8J~@Qd7+PP;8*!W^qj72E{&rn`d|fePJjZPcTRr}md6sJ<
zuloK!<qG;ZA<266vYI(;INj{rR8PUktpE52-s+)?{Xf&<^_Jl8ocw|Lo(_(Th0&II
z_3)lc{-e{>H2{Q3beP*wvAn6|_f}3_EQP=%D{U)y|8}6rC!307uEW&Rr8IPUY;Ag7
z$Qpi5E4=-ZPeoM)N*Ct_9h6p;csAE!4NnUDFA2F)(b-)n^lv2z$39B2Mh4ly*2;Ao
zHoVlqF2miL&dch!K2l7qx6=l?ugrhny*6jW_AOUcR8$aB7x~^O+CqeKSboMeZJgTB
zK0Etd9tF=d6@?kv!V~4^xS&bKM}eLH%FaomaCKP0FBMzJC#ByDOVC2styA`o{|MnV
zhr0q-$8ErCd8lykod&uD$8;tbaNswc|6YmZ*?^G$14W%7HRLfi{xM)PPgo3;f0s41
zfnuUCDUewerIcL%3MO<A4R!lsxX~J@vYW(W)+uB3pv}Iq;C4o{Avxp-Si@pl!h<Yx
zMZBClQ`Brc#VB;CZR{+!g20^6N49Hu@GAHHqmu~>jQB1o%h9#GS$LH_<W!I}at9l|
zP<yb-nAvI7rt=iwYlP0`27L)!+7Fu)mzg1@rsj6Q+Foqpyi3gWMDf)%hnz8AR;cSA
z^NQWifY@#eb=M<8Sf_gJLo%>|U!K;nD@QHCY-^|@<vlOT+ZAaj-em)Fiv8cH3l<>2
zQ6ltJixbc8849@anhkpOs<v(@GKX)H!#O-FEJ)WBxj2x<2Dy2Om#%*|gJ^!obdFOi
zL{DU9PQiLMkon2R&ctg5oaBnaE0uqVEtM&OTLxI+KgT^UeylfzX!^gBL&Ov@NYq;i
zoMwfOyRL_3CYnI-UAZp`?}vy+wwk{b30B~E^;+q6n=$Zz7l`>D+DSAib6Mn-u>hm)
z;r=MHG1TRze!cR&j%X-Ly?yWq3luuP*k2rH1jakMH%wLLGMJPPPl_0_z?FRkx$l1&
z0`GU4R7+PQLrmMcZ$*Ly-X7pTal*k6g5K{cm@E5_aXI7IubUz)(B1OD=IAp6aHmyx
zC<XswoHja9_?5&0tYx#4VM+$D#9Ku<a&d@}xP=xyv5y6OtmVsGGxWhLTU=qmdW=C?
ze{+Vjlm+?@dXDw+>%;SBJ<jJ^CmAxADg(L5tZ?Sf-D$Q<dO%bD?4&UDhw;IWv-K0Q
z!k>i0G1vL@!1?X|>8*cf7&QL!T8nTtc($G<S(vH|#t-R_0{_f0Bv&hTyKiHMzUTaJ
zIpuU=;MgjU)yO<UUY$GA-iZU$7UtML7tz7lDqx6fV383jaEs|cC?{l!Oxmnk(&0X7
z>QMgZ5<@dJBWcSUE-(*k6}<PI21nbzC?~V6GBRy8P&=qR(7Qd0r8k5Iz1f*Xg4s-v
zbSF;L<P$HXpXYx0S(FB~wd)37Av2uJH0*88<OfwIGiA$ADy*K<R(4om0gkNPjXtS@
z;74~a5dWwH=by?65cX{F{gc+Qr7j_06ILI6rKJP!+S4zq6tjc9s-fScun2U_ude>g
zpuokeY=7gmIYFCt?0f4zQ8;*_QFM<01yDHj4|_cqm=(TQz1AoOIi41`?9#P?yD+`!
z+eIGO#@H4>-7NvRj}Px`*3<?`i}s&pL407N9RIvPKnmvKYCfF&M21tc4ePI*5&-JO
z0{`hgY4~l^!o?IvhQ4A3+l`$<up!urB+@GbKGi$t1GbW(WVc>KTcR**+eG!N;FO1&
z)4TquQpup1vhJK#y9h`xReL-kE5hSTlkY|~$*|cz>x?Og!Ai-2FAKg(P@GDOnzkgv
zjgLoeWWN&!me21!I?9y+Sz^3?93ump)6e^ld?Z2gy__z)sw(iIze!mm8NQynX_u`k
z4ew9*E}hI*gHvf=M&z8eq5R2j1r;_KI1<mP5Kh&A*mMCWHf9R^=ImfkVwHnkN^7b&
zYC^1=D(Aaj6!>Q3u{}^(0nWNk4=09`z-+e^|L}?qsPg2kfBRSwJe_if|E=luMxgH*
zt2PbTj9#^C{!{|K>7OL!HVS;-5HLzxq(S`4IOeNjD&X?T*6dLv71R<`w5>+zptkb9
z&2@(=Sht9W=fu<C$|gVK@2q;za@=I~W1brP?6*!*Fr&k#*Xuj4S?PmLm&?ee0d=qq
z`oU+^N{7@{Ly6W~24FWd<Sb9pgsW2i7tTBDf@E6hbvd#TeA;599PF(HDpNc;AqBb+
zVn@np|7;9lXScpNah?Pkg{Afn-|9kpsAr>SqA764TgDcrkm0?`qoUQd_fod!5<GU8
z!<<Nggz|B17%m9&k+Wa>=jnZ$31v$t?<5~$(_Yh0f;05gJvt<IhbXV_W5D<Zj~L2B
z3TWIv@4Whv2G;jkFHP0}_!r)fct1sf#KjsZ+(U&oJJPM5##;f)^S6}284C2rx{~y&
zwBbTi<M3~iH85?ho#uYAwucM%XFq(?f+a>&W9SoWm>L*W^`=sQ`-ocC$r5$w5^ulQ
zBVq#@oqM_Z{j@=Yi~pAO85K}xbh&?ZvH_p8FhatQ40^gcO9!14A?u5ez#o4b@C+y)
z&e12q7?t(4?74LyRCUbd{(c)!Nl5G}_@)V#Q}@sJwTVGoc3pRkr48g66&%vrp#d3g
zp$->=1mRQ1WbPP~4LE$eHJXfS;C=navX4Ip%-oe4m3wRr+?~S)newW@;-^vk-fNlh
zH|4);W?R=d9=P4oH9{GJf4x32aC(x#+I4uD=(U2r1+L*|ZHn-N_}QE(+QzuJ*Tw!^
zuoe6%<Ppp`ClA$^9j0bjstE7q@6SpW0m@o950pmAfS$8hWQ0Z!LD^g9Ruu~nUd%py
zH%AIQS`SUp!bS)`X39_`Kfo=cUWu+Daj33(9encCB*Cdma&y&XfaHT(kLQO(!8bBT
zipcmwbUvv|0Y^*lDK;fNlNN?MgQ2N8)zgIE3?=+!hz0BjGq^Ue%nxNZx31nZn;}$R
z{;4+1GY4C~oKwx(Jn(yNVUeUULu`2AqTAbO2GDmSXiEhLB=2TJ=i+JNKj}+P3OUWd
z{Y`bM?Oj%|@r=!?9sWbCxE)rtSmWL2muxl-gG`XhyI8Sjeu}VV^fh`XnE*SlN6_E#
zB}RAGxj+B?o+J+Coyn?bH-=of(gWT%<{5juc)WJpognOQh@SYf#ye^L)Xe0T8OHk5
zGkd8g#)woOa?j&fBhb{+nK~0S#TZ$wZ2sZ?n~3B4wDHbb-i(dWZ3@*GWB7_rJQLnI
zOn9?BrC+u-gmIxSt-l0@7#q6^uiT9uBsu~vZ`QbP01l_OusY=ZV(4bM;NEZjM8UOs
zy0Mr69Nc%~*ty6qM)dJLyagV8L|Wr;Nm8sn2&`Bh-1)YR;g*wrh*#tnalH5)d2vn;
z5)aI-lkEJ$&^y9wGX1ZI7!_74*dC|{q`&IRiYMzC{dHYfBiTc+3)^Uf59<Q&u!522
znJUJKbECW-KHbEUmmJl`R~Nq0rb~PDOBkkEi^Ja7MFf!lEL|O;L)gf|ZMnr<#xK6I
z#qFY9gns6zu3Io293-fxtLxK=;LEu`oZfa4$JWIi^;@8UP%LZOi33jv$zYqe``7B_
zu2kNVHGk?o;61w`^EKg}T)R$4xQqDE`0<0XI1M(l<H*!%C2_0h)Ku_`F5(`SWw?nW
z6~60TH9qQFOBhf_%pbUP69NW>=CUVsVEt>^l_NQIME%|_gL^aGgp&5o;MxZi*vCuD
z6?@o7#I4W=ec$vDk1NV=i}Ywi?TK5?LvGCkUqRn^`lDXrSst;sLslD1uL|&N^JpQy
zy+8C|^T%Jr-oz&Y?0d+N^0r2=;=nh;L8~y6BG^xi*>p<z-y%VEg3`i^m{#JD3Ui;^
z*#UytXlZ<WLJP|5mo(3pv=f)qNeRc)h6vTtMD1|Ug5*tF&YoO93CS&PjEaB5#OZIF
zYDP0Of#qwSqFYQS(ZjbcZ<TA5xWG@bGMv<a>h4G79ckUf{=1ncpE!>bZW5Z@R*o8w
z>g-e#&D=}SRriF29hoEq_kDW5^h_PPm3LO2O8Q0QGxq(p`!+?yh#&3QC8G`>SA<WE
zoAncdYUidi_D>VlOC?-86V$+|Hm#W<JV?ZO-$_%Foh4A)e|Bs^6_nidytPG!iQS7%
zR?@70i7;IrJNaN$;5sJ#@SDwVBE%zwgCe&;>~tJXnjTSs@u<{}=Atp;q;fvTwV;2*
zCY_bXXZ%$ly={OZuQ^GWDzE3GFs%^#ddq`5$Cbe<((cx;oGF6%R4w?-p9%YUtV4{#
zm4RDfX?Z|@n%J}8epde<Gge;A&q5AmNYxJ5r2lt@c>kGdoKeDx{{sL3|NjhEcR1Bw
z9G1P;wfA=Iab27HULzxwP*f^K*@;3%QBigal^+#JOCdxl_Zuavs5F!jT1F8nvVQm9
z_j%5FKIgpWyhG4+Wq~MA#!~%mPkj5scwrd#!sH?cK@{0V<eDf$!Nqy^49`46Z1t+4
z&-b~APKMj3iXJ7Ha_60`30Po!7}4K6DZopF?6f~umY@WSI5yqrr6tDDnl){5m-&eU
zY5ErowUzL7eJyEwI15pKTUY#kj1XayYTXdfq=?xM`Dfp+VkP8`@>ICGi4f@~=XJB}
z6~Q&YVN4>}2=%t~p`)B6Lc&O}Ap3&?E_Eh*yO(niSx5YiO#Bcdc4!2mAwvPw-fVUK
z4lZIHrR~lYPDx@qc(`4~M*;C9>4Rm;yu`DL@xn1LX(Dc6a;VBl0mmcLH}ci;6Zv0`
z9u)1DCHQqXJ^gkl;OO~c`{fKFqGORh=5s}XC}%m)x}!`1-ZxfTS9*yMDoN31AKxeu
zlNxT}?&^wQ`Et5gj*mpR&1#2rCaMrq3w8Ymzbb;a@Zi;F<6;E&<6HVoPHIGtuC?My
zyb`*%W>}t|mmo^a&4OLcG>AKo(lYprl<}DQ?2eI{G?9J1NqNGROso@|Ryi-P0_Etc
z)s1Dc#Ol5^8yl0g3Cf;=k_8u4WN5xUdEG^Um^(M`@wG>n*svU%_#dH$Y@t3wrBh18
z!K|9!OE4fP@vQQ7SsJ*m>Q_=Krb0Zu+wNT5Z%Dkg>=k5rKt^(X=%@NhRU)){&qh~S
zV}kX`rq~Hj9W?s|QMT?>Cl*Ii&Qjee#J|67VpRe9cx6KO>r>VwrhBFBzU(t0PPJS#
z8k;wSYq29s_BffKDt;Dnh@cYY8ncPItQ7bd1f|B+Y7?v4*KFjnG9|VIo!jo}LPh4g
zFMn4b&?RD1|B1yknG(u*zN`PXnnB{n`|GP^^a=Oy<GI9)DRD;P#_a>qmIzwUHuUbC
z0U<)B{upaCCCKyt?c=hsfm{1nzSv$v!myR|s+yE3@yxtJUy2=|C~iHiKW<3qm6Etj
z{+SSgWWIYb+vwPJ{W3Y(%81bT$h#CCL?Lb|dRJ!sXNR$p>nksPjELijj|Hwo7!l9^
zI$wQXVUIgbx6<`!M#SMy3$rq7^a-z9ysqXs4oJ0)j|}`_NLcI3>AS7fB18;4H4f=J
zqJ)(##(TFRam#<WBt~70u-DakwL9ApNnrc2!`pzkGtzoZNlk%>f7f}AD0hU#(_fPR
za`cG8?XJD$XT*rMl8Z6-&p1L?wN}0Js18wm&P@N*OD<w`d|~TJXGa`&UEFZnQH!9i
z*?+q}=ocecO7;g|uLDML_sE_x4I)G{XLY5-C)%!r^T`tH9WZiCv?=hY8nMyum{LyD
zB8_^=C-q{DJ*ve5Zhw|jA@102>RNMx6Gx>fakC=!5ZU=itU61P=;jROl&s@NUG3wd
z^l&?<ZTDup7M3Mi7h{eF6$#_<%C29F9dvwX?-66|ksua_S)!Z_L{Zq#ZR>4Fhe94>
z*?drx`22}S$b?FQ*Q$blTMGeI+Kv2Mdj*MuH6=IGyGT$ExNFrX3}l%V*f%wB5l!T%
z8WR~Y1V-oIT_s0Dviswog;!P)=~B@n=XAxOTjqH~K+_hV+{}v$FvpnN*ctX(S_~fQ
z#fLu7Z4m6_mfli2!D!;;^|Ad$LTHXHuWqO{tmSVG@m+euIO%AuHr+@<=j(Os^~F|L
zEK>g!RP}@=-@O0q#w-$arxL5^pDn@a#h-uX@Ca?0xVpK}kA%XJgNz$SmKe3Gd6}s*
zMceSRL(hy(Le$-izrWKgz_uv8D{}fbt;tkdi(*Uyk59=h&rx$oaV@81YcJ5WeAz70
zO__LH;jDy*Ibu9IS{z1KXeKA;u*02%_ap=J`X)0>RnB&AP-eyI*efrskB~rq!27G)
z(hMG3g4?gEvE%SWnH#m8ghejGN9uto4m%cen{#o(Pcv4Lhj~BSc3$=HgDFNDJ>w_4
zx!^A9oJ_kWh74WNjx*1xu#wF6<xb~8YNczhg|#@G9kvu#?4*Jt?pU3IDIcWV*1x8Y
zi(~xSe@Y#TCfFu^NYrwGAJ(&f8_v{7pr2&LB5=tByDs{L_Z}C7WjX(w?dK)o-E22d
z;cS8jV<y{^WP~w%^xCiPd?_Se?^Is(kAn3y-;%;V!YEbODB-P?M)h)s;m&Fbwt1Z(
zzv~r2LQt8o;%6Du^7jwfM^kV)XYYtmizsw$R_F0j<d8%h5HbP<waa>va}P;q;hdW(
zE0jmiD+j%&ViXimoJK?lF~qK`(I`|>#IXzU52|L2aiyh6siIpPR6?dzV}}yn-ShE(
z)NhR7I+1{%lM?7{mwUL=QW=+Tg%&iwHbzN$=WMNl6eOdZ{hgInu;Jq7-PLc6@$|{*
zGv(W)!Smnw><^-<a1~GG%l>8zsZgQs2DfDp6H@T%k$@VW<p-|b&PBm#cg2g&0&>{p
z-p|kxR>z=!=y7W^3O1`2$`&4yho8Fifk8<P-0>ZGV||c<_rGZxzDo)S<{m3&Q_)0E
zQ`T@$2L)+cC_x2|N;tFnN~4Mn8J#8CO_fF_82VIDQz)toRgt89G6q^;@151?y=4M!
z#p6WKXJvdH{tpsb+Su{lVs^JB70EZ^2+#W}$QIrzbe5z8d*O#ij`UMe$f3G>?MYSe
zxC|bR_^yMG7U?^Oa!p~?nK|;&Uk#_9N=EV*>!RwFwdTzoW=K3R<}GKUjw>d7(#fWJ
z_@%KW#>?6q%ZtPFt&8eN33}DgU#y408Q!3LvIP{AKObBDKm&JG2$|D;Ong|BWuvks
zd_F6Dx*w#8tiG2i?Vt2;YmZNTv5FP=)$Gn|u#@4>&Ub6}h92@XXTCnuv_^_w<+Z#t
zGI-Xxeb=Ju!CZFWewdC8`V;q>*-w+<p{&*N-w|DeYr9@<V(NpF?BVm>Hd=5qnl&0Y
zrGr1me{OyuK|}U>*}9k@Ex0eV_i_hnBeC_xm-=ZMG@cD7n(Whpx80$cQeG`M_i61U
zZ3TRmN&d5*S{VATV^u(kCcX_mO>?{h9Ac>aDJ5w^^Hddg>3}+XU1CE`e*rU3=jilG
zGSV$qM?6<kgT3^PxpoygGQ2y6o-z3=%3SxXaF+^}1vcWW9UZK{bE1^fH9<Z*5)pny
z2?rVV51zWyapl=Vf%y&%s2Cg=H5!peTgaR9dh6&o*0l9=#+*7dckrtHz9oYN?e%ma
zYdZ1=lir4t)bX><&xuwc2`f&02`)K0_}VUy`YNkIzxuu9+P`A>z^C@?>m)FjTJniq
zQx)YIk0wrLh~ip--RIo<fcK6*&0ew!!tX`zVF?pP^n~&DU-7_@z+R4NZDo*XS!{GO
z0c@y#vX`I&)&JO@&KfGAsmL!!U7wf9!@?=^cQnY~V<_?^D&Xz{MSO1!7y6slDSfb_
zVR(yA+p!yR$aUX2lEC1A!QKl-o&VWFQKB#)<);k9x!h*G?AZ|~wP+zYZv(4QmtOih
zY4q-JT!^EvfjfzJJ2u+jqLb|`Z-*qzBn4fvkFlb<uR7^Yl{EyqthxO6NI<pB-T1jC
zE6ViN-u4x;#;PYn9~6|u(d*e57%0vPCBCi_QiK(<<-m1xfrLvd1HW$Bv0~tC?UAsT
zmMHg`a@qP@6iq$5Zfjg)#fc#?`;VrU$a;5eL_ts#xx0>+T(x3@eWYbY-6ab|d8h;~
zJBUDW;9;%NKQ>hF9DL`%ZviQLw>wMcg>h5qC}p{y9cj%xMs<niQ1dMqX6F&c-{iQ*
z9wQuR?>QN5@yiV1A+4JSHHEOw`sI!&E-oDK_>?gfYzDoychQtcLD;Nn4Lst^jk;0B
zx#h2>c<Iw#@p4=M_BW2a553BR>}}5vr3RT|&%e(48+iio;@I=7Q=SjA7uyD}|D?jo
z^l{9`FabOcIT7@(iXQ?$)!(0tqk`{JYCj`F0BSEL-_v&q;<^X>p*=iQgdK5RHCZTt
zb6-lIOGybM@2!Z-j*BLc4)W==pAkS**{-L#f+BFs%}b~;H-Yy_!K!}doK>Z3qY}kM
z(f_&j(2e&L^vL!XDM<-|d;h8EH+m#2|J3r%I!u9^t-<c<FG4snML0J2h~d4Bj76O`
z1#uIxTW!OI5yhE%YtuP#{N_KSa)znfRPn7_)-MR7$)B9sGbVwxRL6_C=ZxWMx+}xH
zNCbQXpZ&IaNg;UDGS6wVF^JxXUTaTLNd2*mUg?p>bRnVZq-qSUz#ZjP@+8nQUqsY|
z%i`RV=t~ZNj4-v$-C}-`gzF9}+185k;9Pn=$MxC>;l2FV6Ml)I_uk*#Vq*#rdHeok
z<O3tz)zW5MTo7mGkrVs$0+o>4G%u8J+X(!Ut$hu$k~sXN!T-Z<WpHY(>M~>EY&pWe
zNgh(5SsFdh+oysf_q%0!nEU);+;o3@Q5u69cbbkJS4DSWHR<d-Bh&|Wbe64>#c}lj
zFOM=cJn)b@)y~eG|HPAhzVUL{;@<0^@<JWd=NS=w_QuGUmtH5$t$<S3y32bPG+?vs
zWTkGtF}~mV-cxWx5h6z>vSzi(80jj?BP|&tE_H?{^^OweWaHKq`Dh_|b-YnW90fs|
zIm44Dl~Gt$x+OeG8~Z2I`n?61d7wDcIUrUADcAN%C0@{haD_!wXuSzGkyJXK?ovhO
z1(lY$OS-s!t*gvFfeOu?Z42@1)o|x6^)NkC5B<899Vr`4@j`ZKf1ss0xI$NaL_GD;
z?tWU9wAu_tQTDPEiW;aa_|x6?Qy)E^37S7$&G9$P>iHz|JT9dNvwJrhz;N#iPSQ>b
zfd1TPx=j<L1In9d$p*~z4@5&#EU`t)Z;ehW8S;5K)~bO9h!q;PcwS+Ji-Ip%Ysp%0
zm2!)V=P&@@tJxir{nmJNG+wf~f~oT(pH@nJ^bw+c$=08PnKQGBqlUz_ar;v0t4TjS
zeAE8jw@I0XmcDDbX5QNPaI-=0tFkU`>c3NL5d-#I9pz}>rwyglgumNMw2`k_``@ul
zph<eaShb%vj_EnJSWS>Y=g3ok%k+!)@iKaD8rmqA3-kEEr-{DiClg+dbf^uP9k6TC
zg6c=pF-IYF9LryLv@3;<0I7wGXHB&rc6a6&okJBx>u<Et@6aKf!{FI}oQyR+R?#kt
zN|0$#IUw3hM?qK}pUgc?oaB6_<io~%7co^w8<{vO*Wrb<b`6YJY&E}1m%*{!J|jI<
zbbM-vY@@ZQBRoFFB=@NVie<kk`<|qu#iPjkcbyu>&U!Kw3rU!|;45CTosJXbh2K02
zRpC}7eaq~*F!*DMOhKmK)vyN#G7?nqn0>f3tezj~g4>msJ_1IWX-VX*%Bb<Q?AAHW
zjniMB9>1IeoP1Fc{KHlWc9EORGUPcBJ|a>*X$5TEQ6YV5BeR!3`(U)PffZVOmg~(s
zX!x2HoPE+>4uL#Rx^$ITFch<%swhK)t>4{kH{4|Kly6dS-_#;)o3)+Hz#d!FM{Vof
ze?SWQ3);dBXaCV$|MoZ7Roh_Ay4kYeM-p(ZY!yl6ou{>3mJF?6u|ZGO=3@d{;$WG&
z_fODlj%K%~K|s&l8l`#n?S<<}c)CwS-fj6W&FSJuW@3pIo(gX+i3t(K*}u;_T%6}<
z537tWXv|r{SM#j&Bbo?$59KdyVwtC1{`1u%eS;-BB`hoFOob808pX3L_K&uicOiS^
zjs=!|kC}Wg62$S(vC)IE3$!&JcPF<ATcGt_?a*m{0sLDxa5YYTiME#2SV%O+9B$1a
zq_KN^7){aG^mTEW7I)&tPoYm{@R=%be1Cx#ck0E-?I&2!l$t5OYn>VL53K~c-Q|JF
z_jBXP*H__@xLvpKV^f?m63*JV#Er*QOWrnvtoSK))lkjc6#w$u_D~LT<IS;v$Kg8c
zC@bn!EUTu%J??a<zY;fYXt6iwWpm)|p{M7rP^h@y;bw7jh6`CTx=Q*STo{_@?$%@K
z!#iosRWegth-|!TdpVaIz4H~$Tj?gaa+W(@LW~=VX`_RxHoRySh#{Q2D0uOEpnubL
zZj7c4ch#}*Bic*bUS<~s;Xm(se|^r42VsB0%7+A?kqEoRd1I`!U7)D$;z7&Hmb!Dp
zLLfOMyi#NOg0&-=|B(zY+><BN)!9Vwv^z)SjfF90UMR@j{mTol-AZo5nxg2rF3_-L
z*a&4jp)G6X`4DD%=!N)B66{yveu<nmLTT8_1{oy*xD}q)+g>RKYmpG!z|}^0a*LyB
zGE5NFT%)PmB_)vd+_=4$)d&WL<f7hBLfAlFK2dv45^3JztxGM2%zyr|BCAmtE#_L(
zX=7<L<+BJSoi)U!;`yTNVi9=c3e=>I$)GHky<0Wd5RCm(KGXtHoQaZ8tYR?3O7Fym
zE@wmBYH>96xIu!r)CKm)Y6T=vJhM_LhKMx2u=Q@27!EBK@)`Im;r#=y&>(F?9EIwT
zl%NE}iVXKVB`Pz0R3fZd-w^jcNQN8kmc*NXSF`VxGXJaIHhoq*LvY&ry^4P$g`vzn
zSDHSmqVdbYfSTQgkl$5oYqLWJZ{*zVHI>xyDkSV+`hSL?hyOSo#43kge&2}S5gM?f
z1hcw+F~os<ufju(@~{;8@oitLCY)qA1fDw>;Z10tW%wCI$mTCeO{i;O&M|@QdxH^v
zD%X2kHY(wbVzutoW7^ntf?LVQ%^31N*G?`xRL0+vkGZdZ)Irj?v1jRDV?5N5pS{_v
zf~zslA|7byVQkB{l|PLXlvoy9ed$s~?xBN=J^)cbuD`zeFn*nQb+W_+GcA($O9s@y
z+GPH<Gs*yhLn)2nSExu0O_0}}P=|hSOmdZhA=36|G<!2lvCl!`faI(O9!IQwzB|(p
zc8YBq{AbOe*qmDL{!0^t-UxROlUI_#r>ZZu7Rb^QU1u~vMpyH6e@UMq?6YjgYcE*B
zs_n<<^%^aB`6o=-wi@DFNI{zRvK82b{W;?HY9o9pIm+v}Ap#;E?Y0iE0kvkl<Oqij
z3Udy{IEXWO&8sQxX|lzW$T1h$13I`6uOq@Ut`BG5lbovDz#GZme6h7UsJs$%uG~`(
z=UEeFql<y`=PSMcp6Wn+?{DQ(dv%bOWZ*DLreo$^nAXWFI*9&}Tl2$33uz@!Y#R#b
zh^$$A^z~XD#3{VW)%vS}-3wb}RA=dMIJ01G+@g&?=W9Y!($&zDxbH$L#SUZjB0sx?
zv=LG!d+M^73VKRcT2g%MaM<-jo)5E^T9280SKOqCmSXAClm2$NeRw>tl9@kp%AZu2
zJ&-|rkO_aDw;ejte5TKGYa;O3$1g7<B(TQmuphgr9m=?Be&}~IbAl!7cL8Qki5s2T
z?7(V=Glpe-57N|78!OaVpe2a;@Q0k)3_9da&sS?&Fni4@u9+NdZZu}>^W}?V;$F7R
z@4hKRU;J6Klmr_F^Tdx<OVcs8zhN+<KnVewr_8yZF45jzAd9I!1eD8D<YR9sz>P;^
zzHH?WEol57`OFr8CZbU0Xe9>^g@Ad(nqM^KDz?JQKWJe1N%{JYN#nMvxkpp@IIUPw
z$UIk#28TNoIqgT12zXFGxbfZ>T1tkqIoa11-0%LVm)#Rb%QmAUToXeygdk}u&jwMc
zPt}jUC!sZEe{A)kL7FUI55e`?8bhH01KU+a;bgLJFyVPWtxaynu$GuLny38-R`P{$
zLf3E8Pv-$za+Z)u$7U;7MVMCq4G@I##6_bH`X^e3^u&NpsU@bi_lI<U=R?%a=N6VC
z!?Xt<g%Sg2ETADZuDM*xgPn~@ZXw~HY4$ql>PMU`FyU>yJE@fmqWp>)LFV6R`46@w
zg<UqsyzrL`qH>&gD|CA4&6Y7*TF7rlv1Kz%4*vMKvz#3=ZjlpG%|B>GpH7W!_cOyl
z)U!zSXg0ilt25zrcZ!xz-dSh#%oM)g?j+krvEph_9X0&FX_}O9=unigDQ+*W=IFSz
z3bWl^9Ty5_X|IAKKJb=M(H3ZJYVwZ-H*JfOr|$frNl7%Rd=aN2q_@$>{4fjbNC_n$
z-_OzR?f2-I$~HmeO{?iCG7Ee|){%Op7ih6!F&#?0CgAAIa4DZ$q3xkZ=B+=lL@T(Y
z>kyVffk@qlj-;0>G?Ci1!C~VoG}ae3%`XHg$T}S5)G@O{Tg84wC565U^F7{Yotge3
zksbN6Pm2ZR)P0-UF0q2(=~NkH_KN_=w8s2c7CbKZ@Lok?N5J|GX+<?gXq#<g-#*L&
zhb`5-UyC^4LRr?yb1}kITie#x!K)zXY9th9&xOOLCIth-hFEs9o1PG0h1Ksf{sbov
znzbE{7bF|vSD)n3$rr4Uc=Pqs>TzBOsVuV2s2E~z{g>s4+iYl%W8t|l%a2og-c4HM
z8ldLpKA!bA*^we|aw$ba2x8W^YpW;pF|H-Be6NKAw!1s)QksNO%<(v6X1zY%j<lvp
zvvc9?*1l)jyrPi4m9_k!Q4c#eyj{`_;KqhWw=eGqBjHQZ!J9J{dU#_gVmkVr2iG%;
z?r$3x!=p=YG-{f3ar>lJ!LeLE)S4%~3`~~*Yp8Ce(-vKLm^J?h4i-T1wM|`(&QdtL
zh1^eN)kWX87i+CTgz)$C;`OsSGAOlKHeK^j2a)H;eFi&)afsMxHcOF1j?1Trk_;VC
zFR$SXT@u0EaOLePe+BT22~OXR(1G6O^QETFBv{?@C{*08gdV?_9(1Pu34cw`thytH
z2Ib+C_Lr2A8qG6vAzcTjSXJ*+jU{kRy~=0HZxy_I^{#O@Q#V;877on5mIRUW;l|t!
zHPn6N&umfG#iOswANq5pA@jw*j%Pp}v06V?)>r5vai5a&(P&w0U6Jy<6t0PuDktxy
zJ$g7-dtziFS|0ySiOM(dX`##MeVnWZ^PWHIG{od7LX?-^U9?6UDCO}|jWIwb?_Lv^
zQ6*+iy6fHLr;BJ+mXEYBLrk91JLW8|0v|M9*~F`lNY^(k@-!p3m+Z8ta#Mu>7r`re
z%>eH|+P-~4HO5Get^3U^HRv`@->T0u#M<T7O(h#BD4RU`E%c>2vJSL;8)o`3^+jcv
z^jQ-m`A&0_B{Xp(zSP6F*9g5ENMwz9D&~GS9bWMwqc}WVV$jtXy0k80KG_UM2Fgi1
zC$zBkRo9KBQ^pu8_RK0#w}8i5*+-G3+R%``kkNR>7;`<554r~};pnU&)ljMfk%CK2
zzKO>0a;F{YylRaT7czTgl5|0tyRs-NVT{Wgo*7hy+M>A3({x^24>P1MbEF6(EG+I&
zW73UVwR(2PFY6&^cbG+2nj!vh%zQTd1e|%X@w<1g9u_lPjvKtxhnk=#d(s6u$cC4d
zm%8=9$(wonmcA}V&D<%E%<Q1}Z?$P;svagC%5#3uwQy}@^R(POroX&$+VA^U7a}a&
z|9UkvAP_Bb_`HZcHYK!nNNDSVQ&foY;hzd}HU^86UF@N({&^-uRR@kU-`&${6tQ%*
zhEcc89{1t}gjC11kRY1)Lgt|~{2uDdjcl+-dU(3mz6>&0MmxKGO~ml$PvN%{TK13%
zbJehC_CQVdtZ<F}f^dB1TJAV%hljRA>h)N4OprUu_ttZue}YuZl5dCD+V@E|y{hP8
zm#ue6TcpX&+}wB2#12O^SHEg9R{>QbNg`WmiWYiqMPRX&4(F$|l%66bw2vm7tXlh?
zR&zQx*xH+pCD*o#C*&1S`F*43mykz{eD?BK%VB13C02XMDa*o?@663B34@G#ADabT
z!+?o$LCrU7rC@nzLr3)4?~K0oEgu|y(h$EfUcB?VI7V!bWLMPuWISQ_7$4`NVc_TR
zBM~YI@9tS8UtIr-F?l6+tCXfKx`Qi^t;`6cONhq4X4f?1Fvr4%S~nYT-jhxzbujhe
z+rx|UPo^1BYv0XM<E-&7ZPrCbgctcD2X0henr6)ZkgmO7ZiR?fg?!|DocLX$+(}4H
zGwcWdyd{6L1o!8L1oc`rWH-C#+;{uM@chIx>_WCg=yX?>3HK@l+hx`Vcup}+#~KK}
zjIe-hL+Ti(#}dtX;ibizq@N7F8-4vDkId0H>ew!?GEeJk4U+Q51mne@H=NDF=5TJ!
ze|2;JZ`!f&d)wn!#u%=n{a4b0&5$dZrM_q}O>-OcGt=w-#^99voUo7ScLw?2s$ahR
zNozk+zbCli3&V4GVu`A4imuncihhoc(sn**v-D~oVem%O2mN=N3blULb7N&+Xh~*v
z9&)V1jPk`d`-7KEpwvif<oP{B(~qNYT;2VNVdWKHyEohfL$9Wdj;8d}Bz0QTbSC;4
zzsI5{4i8Z<rMfxBfAJkHHuF#Kr9B@R74f`IQJX3F9{>RV{|uLRJXL=j#_c_>z1KCa
zJ+HkUMX9I|717X85~U=HiWHHblvFfSl4OLk>KsCpQC5_!?3px>_}zcc>%3m)J3i<A
zyq_wTi2vyHR$H6Gw+m@zT?BWuK(R`@Av~RiGdYx-Z2h!EtA>0&5u&p7PA9e)B6lK*
zdSap0wluFjBdWcf2nyI)<M7D<L524Zv{aI|&U|;@sHV0NUY<Q1VcrJFdOV;mll#Ip
zdevQ<Lm91vPm5dApJ9CruQlHOYInBn*@*S=V&7YcIH^aznZf#4s!PaLUYBf}8D5!b
zd8UQ9EOy1`2&+C?^1j*|vR)u|Th@(uuW2D79b&&9)7At0UsS$&oI%uF?bAN%*g|}M
zKG8I|RTt4p#fw6{xrDIOc3;zTEre35eJppZ4y=Fk*V%{{6N3-3?Fy$`2wh{p@lrw?
zAv?M=|LiX#GNwx&R429)RWh@tAO32AZ(>Ah-x-3~`TAvfzi%6{|LS)cb!#oCJe6U#
zGp{1vwjHKu__q^hR@Yv?6Qzmkhu%Dn%dIAC`u&9WW_A!Fm0Ytz%^EmPIe1T0<1G>9
z>NCMD(MeboRafp-(7<Q$^|lqy>xtp$CEnFU7ooW|f9S|@bu?xP8;)&hAmUxq2dD0T
zAsm#f<7Ap>a9431E0=60CRmE8kE*^B3i>6c8?<TIb~WWx8tX?wQMSDIn{XfDzGb?9
z;EEdFs)o*&Tx%h=lzS!F`SlZ*+yz$ZeyQT4=hgil_HBf2LdyHV!2zNtv+2>$E>-ZZ
zdNgJ)(Lro0ntV7CH%N?`>J?Exs34a1JL8&gC(#_#$Z>DyFtI1#Kc>U0RUrBB^Mx$S
z&xGR}3jxUkqeQpi`Wty=$~ee>AbMSDH!<ME$?cmtPGr@DaP}B0qao&sSD9`v!Mra+
z*F<@WhznU?HC{wTCU1=LFiSsSzc!6N|80g)IVzLXU`oZocRP=TT^%4=0;dDVPR<ev
z>x^g-ua)3cz4@)-`axn{>Z|R(v^j$KThPAjs025~F|(_>!$f4O^N~KbU&P@I%Y$y8
z6k+Tk+m>uUO0X;(E8i~mhj{#R%HrZdMeJ)4b}CI8C(iYJm*3{IK+K$vX7XB5z*+6#
zNom<B!fAa@7t8Qp!nM@)LyeIFk~;*aL&s-`boaKcdWFlxb5*L&-5`1FyDlS7J3mX%
zQ~&an4l|LRJhkd>FXS-3#J2B;*&K0(t$BUw9TxIHfy&K5b~((QYc4jH|3!GUJ{ah_
zz(&$IDgvJR$in{HSPF;fA0nk^?o|4H4pM(2E_<d*24uA#6MO6e@nH8Z?u&o8$g~Vc
z-#tb$Fxh+G$WMBS_;&Z+y0;0uq=yd|^>~3as^8hS^8Q#R>~1`INc9&Wo!|ADe7BLt
z0hW`8Uh^`O>nr|i3VTl>m)g9}QF^3cwpibJzMh3FBMoleiWeq%ifcWtCrLqPx${)_
z3pTR$N%<}M8By|wuB7R}4k@%u^B=9~<REt$7z{Ms7box9+H)z|OW}mZ$5m(O++=N4
zp0LV_Bso>^@xneQDNwWBn);e~$!)7TmiTVTkaq*34-bb+A^qN@1b2Y|nLB(&%;%&$
z`N2ghMdPy+BJY0apwCc9q2GC{J~t|oQboJc9fG96Vy@}EHBXql@p<57$^|O9ji|dt
zT_=Ng51y>7PZK4>{5J)h-K#=Uia5T#Ix35_i`FMROU21!&l7RlUya<)T%&VnK@NVd
zQFB+hrAU9FB!2H(>SS!QM=#3{1=RDuT#8GSA+Z#B@W_lN`BHs|hs8_@tM_Szi8;%Y
zOP)C&`}gaR%o|+|%xkD<AKCEW$bCg}BfCJk+@c=YIeX-U#WNK&Su`#GFr|_?V;-TW
zHW`q8KZk~_|EXcr+hu>~s505WEqHCu14DB4b|QXHl?Ha-uI~Mor%I|xzqad}HX?Ui
znAf|+rGwVX&B|7>H1a{l(=*Dd#$<nxt(V7PeK@>Yj$9j{L1z6Ja6M#VLN0o=PWaw7
z#G~j;UvpP2GW?sv8+VE+DWNr_a7WM>Z!Yq=T+q@XDKj_UHr+8L&w8s{300Y5*6qRJ
zA7i?tk&ppbTB9l1y4&*aiANTYXU~=9u+b+C?ME)>#F>)z;LeD9WR1zM&e~BU`ea3`
zVB<)g2}!;x_Rn<#Dhl-Z`1}mWq47Blp(tb0sHQ(UpvDd?8o4zxFAd1c5oyapuZ>9K
z+si=%;;S+DyyV-zMg!7F<L=tYSOe0@<=4%2Q+xEf>=SsBWk42X$Clk-)+HxShwN6A
zaX{+_#WeRd2ISRXwx`aQ)Jfl)t!1Z696;$ddYAJ=pX~ed#CqyGmAsQ}@HLu$4KklD
zPH`6Kkxfoz=1MFwq>rF>)kC>8a5kLXvG0WrS)xKVPY+SZnfY8-%B%zKWNJ#goYW$x
zlk*-mMy(LU8uuFUWC!rca|?ar(jb{8R|OwBb)Wc5s~%oQaX|auhOkGGYGe(y|DwIv
zf^E#E9q;>(+aro|Ym(`-GHDtv5b&^;10fxIdvCp8jU(}o_XqA(A{SN_8t^<3Kq#~G
zPg%Lu5Kd$t82u_oUM=?Pjesz$w|><46u1hd+xa_B=t_~1Ov+zUTt!j;NZwVu&JNV2
zr+HCtMadQcg2T614ATE<Q{JiDVXSRjU^<^dCI;n+&L)bZC%j^Tk_;SbVv@`5<|f&s
z6sfz}B%q@@UL42?sQfTK!@<N#9{01W4%L%D+s~1RU|w4oQ2G~Et}GB@MZ=;W)g{nc
z%YL#>+6Lo49Ia?MlLUNH&TnItz=o)@LkBIbk*Rs=iaGN~;+#)K)t^Rj#HhXrtn{~n
z{ITJ0IvTCE+nPB?EU$@!EhUG=KHCygY|1_fwPUtQ(_S*ae8f>G?Oz)G%L2Dpqn<uh
z`Dq&*%o$om7e|wfj?Zc*3k3B~b<wjHZEu)z<X@5&M+!AFAn2Jn-dU_X+O?Vq)YHw*
zZ6e|bT*W=2Eolztu=^YSPOxD73sa(ovN#q;o}GSs*$l!eQ^Bm;*)h~<xz~QZIJPwe
zUo7D?1MkUaD)rYm@hfUxcte~xeA!OlO}}gkq0WY%jal6Im!(kr>zg<zoqP8fOPJ!h
zu4#R3IxqI0O%Ko6DuI97*A#eVn?P%k+?Nr~kE}RfyE{XSbN+MhB8P(sb`<rqC$AGk
zp{-xehXhI7R!}^)dc+uB{$}-j7b#E+F>Ke|EQM1o)whk4jFEh>CHv9=A*^OeHwxF5
zM&tuyAJNsuFe3{desvUv$lBJOr>HW>o?^1n{71*(*$9=rIwI)XIxkplAPdo|a#|Zf
z$Mlc(I(-RI^i}1gec3JtN$vN4&R(YDFPU&zf=dj!4q=eGC69^5fN%M`=wLFg%y`Bu
zj;w3P%^u7u;9`Dx|4&;w3d62Utz(zKyMFPXxp|7Xs($wMlm;DEBa-#3qLK)@CnYu&
zqy!B)j>7c{bgWdy80PCrVXNS|3->Ik2o68E{;eV%zdO5BzPd{zE}<^#j({?*kshw<
zdUP!0tLVLtmBBUF)RLp4%GmP7E!lJf9k&Dbx$b)>3-k0_2b|ujU@!q(uTRjCvog8K
zR6-tY-j_T6WvRkwbCdJwJjT8_tPA%9DxiCtS=Dfy8m@h2;Z<6oBRXIrrru8x62_Y(
zXAjb#)LW@$?PiQ!k^x)`a!Sbf=;(iWl{zY&&JxD2jd7sez*L|^3D<Trv1C&;u=R#0
zKi$FvKV#Up#V1m+=lO=fW`@scI_<kH^40{G*4UP2IVz*4MKDu7ToawT2On?RYYK~l
z`dinpD8o8(W^E|H7G&4$Zuw3z!$4ll1Ydy)N{!d;dU#F?sk%3tPro-qwXD0Nqn9cq
z6y@qJwP+zdKUsV{$sFgG!U);FsxUr#o7bP=qlKX#hi~q-K)+~&$b|$oEFU);v6$Ba
zRn2_H)6^2@7ROnS2+~lMu<cA=jTUGU>?t9FR&ZS#@TcVr4Nn~Q#b4Z`g{#>EGVg}0
zP;ibnt*4y^`NV>h-bPInYMg#JQEUy5ru0mHF?Hy<s>V8UYhumirL67YHjqypwsSF8
zM|}9wmO%*(?3X=LRA69>tgBnRbnVn}@Q~=*OUpC_S*N#+wb`O9?bbwxmO2blDG~8+
z)X;9!di#w&5EA|-$6|qozRX&K(??YCN6K7n{~>_+hSEO%Y#IhGOp?zyRnXsZjX0bF
z2!t(vue7D%ssd9>!wo9*5_%u`6ai!Qe%@gfY9M<}6Zg=RAky&7-n<&<E?<hCrmEp<
z|Macq(+aqEP>XV)7HGYt7qcNm6%>n%n)bJ{*!FYuVO}}V88!AtpiBh?9MARdT1vxZ
zF*s295x~*wJJL6+jINKT&us0NfE8b)GkY{Zdnq0msH6<)$@!=VLJYtB)<hI-2e^)Z
z)8FVs#r41c!Z<&RV5m9#RVodbD=&2VazY7w8wQ@<HWWs=>4!w+9$TzAP?)cIUlH&3
zmGk_pqu@|&M1A`nTip2jaAfAb0(QA>3=cOE#6905D-U~Z5I?U>S_#VIz@?+q6(@d}
z-_M`O_OJmyRrP6Kk%cq+<cHZtURb}bnk=igh94j2?HMH*L{<+JjOX(p_O<M3Ukhv8
ze71D%UxO4JC3gN$nc_yQx%2psCswdrvNTgqk_7$ry@=^k+>p6)MkYea3W)<NTb>0<
zpu%j<`0qw;3>^7tH5zM)>g78f>ko<}&p;;T?p|)BK3<nQ{?`H`|DKGvMTmjruCLbb
zLT>Pn|GX(1WP!M3eeRlEQLtS*!12q32PtnKj4lkDV~20hqQ{~L^!rcN9UtYv=mYwp
zv0dg^c^opExJv|iOtOu-)x7v*J4Rd8V+QjYfzg&eVPt)unk}s512y8=*ruIkD6*jp
z9S#$QH<h>0XNn&)Wj?H12Tjpw_tpNMwlMUUc5Ph6I8VXu!RQ+SrZ|<OAfEeM2v3hL
z%JOZdpx5Zi*rvZGkfumJ{rX7=5qy;g#l?icTf?!3NH9TRN%DpB&5ZYj^`}(Fh2T0D
z_mQS*0$pZm4bxX4FtLh8dNeaQy<=B$bEPqO3q!0wtOzl3;pn>W)gp*5&yr%@YYgSk
zagPX7VbnWXs`<PZg%A;cOq|ac-t`CCbEAYIw~5}P{7noC$#*LDm(j6Gded#0L1FBe
z&K7UulK`K)YNA&l9kpM5LXx+MU{B-2T=sR6c<}Fmho2T5J0fb9{`84J@==_fW2zLA
z;|%We&lsU@$LUauGony<aN>-_Uuh(A3~v5hW`y4@TA#M+h{1O3)b9p{H`mSiJv^Lf
zgp&Rf32w7u2+Vt_@ZXXg)=lLv9}6%-ZVtbPLA^MpGd4=v-&R0?oXW-=cO#HFJo!^a
z5-?f&C#p145f@L3jE^`PVZ__=-|-?z@Yl}<%ET(+gQeVaHpX-PiAklKZ>4bkpeP}D
zoQgw+JM?DUjBurtKY@K(8b5QxO)l?OMyR>9{~gA6n_^GiHlWGE=TXH0#hog6+9aSV
zm|_HqVv@JZF*!8G7~?yGqaDN`r*)GNw!6m<**D1}PI$xeEl)M<IbwZIN`j6N0W-5V
zvWiHp-(O_7jls)7rh&+#bY!#QFK?G3l9<nr>AR?7^UU|lYCUv3wFo?2a!U!4Pu6ca
zYNvs-tz0q*-o{86^XoR*Ma8iA4q>_qga6;YSB}gWqltg9;2upG8$A11G=FNMo-hdE
zx^9Bei^hpBrj_x!{^qZQr&`b`<mOxJWD2C~2=zW!!JD2<+|Ksei1PUU_n@d5qS+_1
zHIFj-dR=3gZHYFr|BY&2oiIa9F^ikGni>p6Kjj27>p+h8+EeXjb6n(_;#g@?gD6kA
zXtcBr>ecREnku&d?emLg!3Su#$k{5sw5*LE8qe52J+p+D%>bk)X*iYt<Z}5_ZFtog
zUEg%i3PnO}&d0W^L&1(sZHt07+Pe})*Iu#4R*S=<4ms*5&RRa?=Bb6EMUmY>$81os
zr*2bwzd9cKS#ccMsR<3){E4u&w%{lI)0pPfp<-C96J?}<RYGIS25f-)-ozaLDRnpr
z2XX~}rJ-}uyuo`LAk<M9nOe!nmrd+n>h`I@;zzoE@EzcINIv_o<LbD3^Pw<0RN(ii
zIFHs2FttBO`^=?|@8zZ+_05%WE?8i9)nDM_tSfh9Bn?cb$`yX5Dlz^a$8dRJJNWL5
zbM5@1hK(OI?Cvisfc*s9mJCTdq*=GG4^dKsiopAUr7>B^-n{!nn_>q|o#^xKTU7B(
zcQw~d7HM?;xvctkfw4|~>5{xq6$DEecy_u;fWs;3Lc%A&qjYOl<5gumb9UNUJtPXI
zLoyYYvVo#yddSyIDz>@H`RTtB#@O#SMA~siUeJ%tHJ2zMy)gPIe>Vjo<;=ZD7~|j~
ze234bK@k;1eBY}m0o+)%%px*o3*X8dmuGbfaAlQY4e8`Xl0t4rhNmsI6`mJ)!YL0w
zJB`J=x!e$X;I^<*V*`zw61#qHmqqDj|G2UxPJGz9S8TP84Yq2pnKyhRjik_>yDUpM
zkRIZcqI1<6Z&aFHmDWh%mcqYE>kf9@t5M6)|7`{TEtBaLgA!1%2#n`(VuvTS=wyhe
z71G}g2W-A44pDX2U*Ur6Nc)%HG)Y)u-h!@p^^_PcjrIR$C&7-gcm<11G)pYS^7@qp
ziK2FQ5i5@uJB(8w59%jbAV+kuKmCFTy7T+L-e_fqkngv(?91k;=GZg(=A|&Y);ko{
zhH;=F#r*~Ch&lM4MC*lf2;;{>L~ry4PK5GI75Dd>L99=2aw13wA7uQ_*Vu7khn$#Q
z&~`Jhd^vD}_M3uNkHlXDcyc4gGf{}E-4vh74j(nXPJvW^6sK)65B5ga$#rcp#hOz|
zh4Ri6+~;-aBFA~L<3Q$7p)M1|A9=m>OO^uNt{oK`yZGUAY5r30ZWC-Nqj&VMQgE!_
z>d?A50caQ5Iv;0nV9{*)wJ<XUD*Kqen!8dU-M+t-?YuEcFRAwrics*tM8eI)LJ0N~
zL*L&^86&C4^K7*x1%2(|4>TE`P%S)D#`}_v@Ae-ZZ9*w9{5oIJV8O`A;O2h<o^+IE
zb7m|tyn#Jmab$XnC?rG@Uud$@!DIJF=B<tp^v%xR2stMPg&&jGi04Mg=e6TFmnj5E
zo`rVTO2)m}_g%C+XoPF^5hgSvVayD^Y&$9@iN=f=R~ecSEZ#URG_(qX##!fH93h2O
zEwR+eNke2m?pH{?B!VLxc7a3xq;aUlM8>(?5NRQ&gezP`aVBu9+5Kb&rvr9Ye!psn
z0q@e<U_CKh3o0LWf;{F%-L&o;H$>CAxu8WQaU8xM8@$Y{h!3M-jRw07@lfzId0s;T
zi`5p@x-*Kn&mxkSzTFUoRkFd_Yb3Grj?&2uBTCS#3w<-{V~DnfK;HS2Qs9?pzn(Hi
zMdvC@5uIa(xR!S(yyUesZq@dCP5)HJ?>$x<uU#|5(WRLOEYh;5mkXXO<z(=6vVNoM
zTSH7=nNF9EmBZsN?-kn>)R6Dq&za6^1dVjXUp+huc(}L}eA<GB4_}$w?(Z?eo%07p
zyEZC9Yqm1UVhh8UpYlo{Z#2TOKgLM~3QCyd$j$8X)4+?2dnZ?%=y2z==!*NTgdDm3
zbgy7ds2=|OaH5}%);438l#f(g%Iv9I2+)F-fAdUKyfH5Ro-e(ftBi3+<wIt!+K|!{
zj!ktkf#BLiv$;4G9MBZWV3pEA&ad(kA0<<Chj)ua`>H}%d?9V5Ob0(V9+-3CHiPGt
z`nGzy8n^=;FM8|iLJl#OQY_{$Puk_zzo>@FJ9DD?$8=HUpeJ~O%L1QDq>}Fz(D1iK
zv}^8^E=FI7-LR0fgzK2*o&v@`=f6gB$FI^w*hWg~E^RC94_<Mu?Nvv=xD981oepL`
zaK<ayT4QtA-7{4iHNZu22-?G|gP?>{O7!(MaEz!h{GG0Wf!jg_j(pm9Tq3kdl93l|
zp=-rF-f3X7xg&3DvnB@ZYTlPh0QL{1)$%@S;NAAFT^imRm~{ECw={ym+l5zMAD(M~
zBh)pn^A!zu&N-hD?*P<&d;+opG(exfvD4w7DsonLw$91ep+@QQ+&WebeBpUIHAhnc
zX{HyaxycTFqh$8b33co>OZ6*RPX&8vc(hBP9exP=CuY~t(3@x%J$_UX*1J=qU!JzZ
zrket8H&@iKJvJw6uZtY`Yj1sa4z&Ycm}Hz2V{RN@wH{@fl|qHnH~mY#cCb&kdQq;e
zin`vE<YOPjG2`apY63g_M>DTk)>gsKgGaX;{u9A(#REe-7`b!m5w%fVRT;Jm!MZVF
zLa^Ph=qAM2*O2klc|wW`yEHf5?i&J_8vj%0mCWcV>}&lu2r405=tS$Oeuh7DC$uT9
z2d>PY^S;cj2wRVvf3Cdegn0v*t~zgvahF#q=NLUYW;=_ECWGhRms|6;xZ7fP@SAZ%
z16lZ%NX4>mWyN(vMb&k=Hu$e;;KIJW(qQ2)Z%OZA#)n~HV_tR}Y;=G3(1GD~OGlG<
zB-)wqQvUG?OD}7fQ=B?@lqGOZHL_t;n+eZq^z0R%TVeO?Wq<MKV(5(=c~$s)#Ww9l
zj!6-Z74FxbY!TTbicQJeL^IM?Y$cOpOpEqe;uGIYhoq4Rs6R!Hva&LvHQV86&KnD`
z^T&Hus|e$4<DeH;02Ao#uTxo7El_k;{i>&l5Jm+euWe^%MwNeJ5L=u%3a)F~_UxzN
zwqT5VZ4EP+F9atK{V+p}wwRmqAwg_bXHNHi!h(i7zw?_JJwnAjx?s>&0EQQc>ux!$
zIMRJBWZ;7-<31aAPi^2w@VljtgYVgJI`yQl*&0*CrXBU|y37ZI_nE8BIXDnl5?M7y
zm>}1#%)#UzFUn%(%^f{Cp%)1zK^qgCm~;GFk<JUY^J3bs-*TaE@@HHX$;gGE9d+LR
zy!a(u@?vl!4^$_f?4dduqoqK7z;Q1xN?raNi~r7xw29<Umo_@qxUOFNGlmx&yxsMG
zpYh|nna=OfeRTX+mb_M>g%?yIiQ3Lff~ftlH?saO!}DqF@@@8f;M7+5a;1`jp)FMr
zr*9ZxN9V!s2YUEG`PKF_iqUVHhHGNl&5SU1JjUnL9e(tWD|STB2qU$#_=9qvA%10b
z_D@9%VE*E^_g|@^I5J??^CrO%^z*f|Q%QnQ=W`7nJ|qT*>lRR2Wr+1WqDwP-C=8F_
zW?85chmfMn`I3JIFby17%%=!ptix5o&qfmS3k}9nl?F)Lw72zMix6g6gSw6}dTI}|
zhwx~;0fP2_3p9Tsj0dmM#7vIMz$1lOrhm5q*4Ts$FkctJrH?zhZ<)wpyL0NZE*Rit
zla$fL6j7|Q>Fj{00`6^m?Ovs603GIuTW+~xDBbu){dtTcB>7x)vlI>R<K~yI-@3)I
zfhw5X`=1hwY~(K$D;r>w-(0{gsw9X)9d^SkD&BZboiH#qKz0l(OMavjWG5c7zk9EY
zcPH83obfOKhM#U$`YDaIrj|Nu7gaDmFJB=XYk&<A6@@n=Wx;Fk;odU?HN<5<6bo%K
zz=Kr3G*2aYoZwkpS{F!zxAZq93w1*rKJK@q(5Zk6Z+FqJ=cyy4A?D2I8;01&nMq;(
zsEAza_I&AS4U`tM`<BZap?;?DpXO^N_}n<L?5nDU?(@8C?5~Z0sqW(10xG87pK+hw
zsEz+lvOSFsp@Zm8Uy6UC424A}cRgPnIC*{%h+)i|cart>><kq&l>V8^-L8wRl?|3z
zMkZJqJ?C6{Qx!*p#tN)7^sq0f@m0QwDI9aYuOs8spmC2~-l0wprCGh!yEmDErj{ye
zbCibBrCoB5#Pv~pdw!#Pm^o(8d9Bzus^j(Ml7!bZeXQ{m+d1>x0%}WY-_G)AAf~S)
zr9?y@%=8tl9dni#=#FZB#Nd3qKycCLJUt9i1C0ym)|hy7z$w^L6VJo79aj(QqT%c(
zUb8?OL~+&o%iPn%)JxU>ZoSvR;^x~c<+p6{vEfulY_}$2P7HKk+N+HV8uB~|TLI0k
z_|Ruln)tN-qT`WLO?Z2)ezdCv=$;BpeDP5e{h#JuvUaE=wCdu)I~I0~o_O5N?vf_9
z3Z;(UuTx{J$BVfw!4B%r{Cy4xYa(yFENs<%6>M-mJRR}Q4!ucRc#4l{pd`%K!7GT0
z;<4I#+3$8pcrRPR`b-^cd7o>_927y>lYNi6Vuw_-nlS5H8dCkAFNy4wMe6A#-JW?n
z6g>RwBvh>irHicH^1+h0=*Ppfw$~1WuIdi=a#XS7@|qpzyF_7fWsT+AB0Kb4*O$_c
zQ9-SO|1GCGLQojmIK;}xuO7R$o<<L4{0{&C|Njh^hd<SA7>CVc@4ff2j&mHxUccLF
z7#S&<c_T@QiXt;*C6t+zl}aKj5^;W%XdtplMp@Z=d;JIZ=lR~xeO=#EtGuTd6ItN;
zV&`h1h5@jPY>#S5OG0bs(iW+d9wys4-OOeHtmX!olUKwcAo6%%@*^4$u}GlQN(1;B
zpnvyCk{I}@6({NIQ$mFL`=KB`0L;_LZ^vvzz`&O;H(PoSVI8c)CVxc0(thuu1WpJ7
z+^;n3W3~{^@8^q|84y_UowP5P7J!?T0;yaFYsk2R-jOs5eXz_gkkCT-z#Ok*7dy3r
zsPUEW|4PyWa+2ev?;$+kRedG;Th20a>iD$-$pKv`Ieq3@<R}+ZnQDwP(=Q{2NPdc`
zv@Y<NSn0m@;soNmNB$#}%ZQmE`SHqC9T*v`lp5mafFf~mlTiO<BrhiaYV=2K$f%!8
z^z31Sij0}YuNEuFdfqpwV*=VxxF50j8)X5Uh>ovn;41P%_SJXC>sr7X+ULYI&jkAG
zR-~KLYl!&MjPULbO}LTB#rM*I5yqa(^I0cvAkEEYTpv_5A!-26DnQKu`__w;#4B6K
zFL7xJwkH}8(6V7UK28VaTS<C<ukRo`-j%gq=`<kutE6Z876x9}NdL6R*+WW;t5|1l
zs>2nY!n75@K;Mwy0r%1YBHWU0a&cA-gsrj7%T=`Ss+r~9I~7Xk9&w&Ma$XGxyHnV{
zGqj+(7Amn6N(Hxmh;82;Qw6Z=me!D_g~iD@VWwefh+*9<kat&w&b!wVH+gBna9S$)
zlr=4AC)TRN3<)}$a=e`hw2<Q*Qy({gfhY;NXZ?O8Af!w1Qe38mZ+kDlHU-hcT)1Tr
z3k?bW^Gja-`HdDHr1pq<YcPUrRY?7Ix(djp&>Ksiz`)U4<{2vN%wWswJ<+190yOLV
z3Q5ZtFik!|z%a0aq~yNft2QFgUJ?`Fd`|~M&Xq;cob2$Ooc^fyDiOwRFZNC4(nCcF
z`_E1i2b^q)wR|c_1Wm+^v!Iv(203_Lq!06_^QLXI{-O+;0h=xgzZhXYG&0QW9T((e
zsmeHqDuXx`)Fcp@!HM_tnz#rLJX<@{qOGkA5&9Kkq#_nTB<B;tp7MfmT=?CMZ33iK
z(J;I@!3G;nk#5@B{4hYB*_iy00F<HsNN(}$FgIAt$-X841Dsw3-C6|j{}0ou8p{Dy
z+)+x8+l7GFPkkwB4G%SDrB3acobZHNU|i#y2;|U`T&q6g!D5cpNar&b6g1!YvpgjR
zr%kT%)R*94eK8<1h=B+A`bR6?a7%z)ALHJ!3OxK6E#3+D;Ds8o4nEZ*lCXBE<KF2m
zJPiMCIW9QN2bE&kZRs&ma5RUxK!=wAw<nKtjQ9#b=+%yd-viRnF-zf;9ZY~{c74sl
zVnQ%yS>SzM2MeJ+Q!lD%m4N}_dtWjo4ARS8rll`sp(0g&@{*e}oJjThH}hQ-+-{d2
z921s@tl;i5vHi*rFj>8;c3vEEWH?h2QWT(3GJ0RuiwG=~ToB+R0kXC3vhj>K$ZQg=
z(cn{o0%^XM<U5k^Mq=t<=!Ozh-uY=^Kc)h0F0&^MvZWwKYfj<e4?LXu?+ZiGcM{Cp
ztYeBKOG7hqIy@Vr3|^{?%@2E2A;69x_H;xBdfy5?PI;gV?{p(`FCD0XC3U6w<{lQH
zU-sem17*<u{N}W+i3ZTi*L!Mm%7MOvr2jh$BGgwZ@{Htb!md*w-h@vcHX}1T)~*ww
zImgIrmR}p9wMMYlF$!SFdQGJ7^5LG{52uZPtONPsb5sp|3cyx;(7r$-!i&fgL`exf
z;F|?dj8+5@>ARouJ}U#y$q%g0^7J8&b?ho96Ato6-TPikD+8$<p0Y6lIIg9|7P;V{
z{G<ZaSPmYxh8gBHD**)c6}$aIa4=j=>{iLbflWK#&3hIGP-juVo8pdxDhd9cA}a;R
zaikg!ZZm)o5nB;aE*x-7JPWG-CJQ=8uc$v$HH3n#L~6Zzim(u2%<3#70~@U$^yfkh
zA&jxWL!wmy?7g^awEZMOx&ryw_{tC-?vI4Ej>rRLkxcMrrWjD}b*rpZ8v>4H(6{!R
z92{pZb~zg-2&wHyZSEHv!aO(+UP_gPeoqyB&u$)QV|T;{-ZO-TvQmbBCRnhN?U=QE
zzyT*Vj{EAJGz2K<wR89@4Pui7ZjWRpP}f|lPhm2IznTXvF+oxw{4na{T~=Bce$-W@
z@Xi1_JAT#WvPl9eEcB8?`~bNS(xKyKZvZi2LV2q%#o_K)_-}8%btG4xKT~53VEYo%
z^D0>s9`tt#KB=BVD(Sb+$;1P25+h!Tt_Z=o-|jE}3mrq^f@P9%QULOl_f~%U2|&$j
zrT9xKUC2yD;pdX82>h*-;(aB;2Q$7>)@_j}f|=<&pO&Q$<|ZuH?k{pf4pqSJ+IAo!
zkuYlYs!b25KE9MEEO0^#Df<0I+fuR}K8JaiN)HmWF0j!Fa)7w@Z5n##cjRjHn6Z|w
zE{Gcj9#a}+1==^ZdPmAD$=^RxoT|U21H)>`o5#kPAj)<3+O$t0nPu(nXj#2B@UFJ9
z_p37i5Sq@Xq@6|7?u^~%q1T2-LmNnHF9w_wZLV}<%MtJJNY|gIwP5*r`t1)W4T!$6
z@#=T_h-k%8B{mmo!mY27A1vpnz$<y)KlW`KGVf_^(M+ugVYVFwaE20O@_hu1Jh~CT
zTxy@^|7iei^FbYM>j2qkD!#~CHHhf)nmMR_QU{0XJvz?Udx%g-ADfuaD8if>*=nw+
z4m$FrO~tw$Br<r=_KNo(gl6e|_op<qLys_?6O!FVHVFg4tnHJ?w?tL_TNpKHxzkIl
zJGzOSR!d*YLH;4{$Hd-P+){-MjEDcLKO4wgO|9GjI**87%*l{iCINXnuJf4U2J*;2
zVS-(83BglXiU08?0SA@VWK+pHqVqvhLW*hysXlvd=GL4F#FSnzec-*0`1>4j&zV|9
zgr>{bdVN)ZKsolK+jSkmUDL+WjIAR_N5<IxZ4g18+p{DnY90A@{kX5@^5I<R+9O2~
zL>Tv!+vOcvM=T95Y~K^vK?ZwmIe9sVkm`Dw@9)_Sq&Qgp=L^q0q%}sLSNfSUloT<z
zePZ84C_eCZKI}U{M6o`P`!tooFRv#>X?_!FKI)WoT8k2R^_Thm@(G|=Z_ux_xrKy2
z(8D=pQ9;$S*`R`9JXrtqnf#BigWQ_xl)fZN1I8&j?$^ZeAhF8Kx16$zL?7X)`0{}k
z!Xg++G+s&&$mS7{sIZUtt_`1F52l0QiDcT`S{%3)1dm)@K0q3IggjoKV*rtQ*9X}=
zIH(S7IsbZt0$eXtA0NBQbm#%j(cS@yFh90`9XP3=Wh-^N`wa`6SoAAM{-Xd%BHPqM
zrqqxyCn8A2#tzOW*TZWZ6yOMd?t}biG~j*Vz8&v54tO3QN?$rC5BBUS%T!_*5S8I-
z#Qx-jhIm<pE1rjUw*5n4E}0IZCD+?p-MJy2;em@Jl|0}!+mBp|VSuSxjfoloUihf|
z&Q-lo4idXlouh-9;2xv&nSxb5kUu{y;BZb3!n$UHPGz&e=YhPZ=9>aQYiwATfRh88
z>90!XSJ|NRHWFeYD-3L^wtFf}a^QTTl&KQo0BmiU>&_ifF!)6jVW*UX(wHNjJb9cT
zi=Vov7b6bZIy>$cIOO2bZ^U0!iW}(5&i)ghlz@<pY5V~q2eXF#f+L@JATT6b^T0(4
za<9c%;2$2&<BUet#qfcS;o$Pq1!?f!em_6XAP@iE|46|d@>hGLf@?n=3%^SL*t{x{
zhr*N;IjLYFc!L|F5j`yjuf*8iX2dAKRpUmLgCY_5S^ETAhE;&6j}<9qnToJ~t6f=^
zQXC}x@h947aG<bEAO3v)kPkPTVomfUfOTk*J!4u4zO`o?r^n)9Zo2UCg;+_*uGgfT
z`$hojXC{(ow3LBEMWhlLmx9U_b|TXcWym+368vm;$m_7lg21CPV9FT~)%BVPJWp5E
z81hu0nmaJ;VHp+@>cyIy4*!pao5Q<L{Hic&HSwujNDhjZ=+)$SNWe^0PSsSS2D%Fz
zM+-vb!Q$_YuAl@G<U6)7`QOz53^jY{-wp+MJ?pB-+j;1bc#j`$K3Y)o*rV|6As;RJ
z%R4E0NO0OF{@&W5w`cb6--wq`f~;+259TBiSYmu~UBeEGN7ImL7CjzVI!76HC`eG;
zE!4*qgMi2}J)@8+Jls;2JC-7$0)|7zXUysVN?gVSHzWwKB)9y_b3++$N^R3u@(kem
z@5d73Mg%}U>6?lkdeUy*PU(i1A(T)5H67+7z+dU7ot{4xp{eCT#5Xo0m>K%)+x7$x
zx-0SfG{@vXN0M1*F3t#+1S-mTx|QI`ro$+8hBVxKW?8vBWCY>A-s@cYi~|xbeeTXb
zaX1~cDJ4#A4Ei!`re^~c;gyZ~Gv7u*n8<IAlBF~TQ3BC6ds80F?8$jI6}e%3YV2Y5
zpb@Z+ehlZgk^@zbHVZyKW_V?yU2F5m2tw~RUgE!x1ut~TPlK5Xl4^oiV)cx`sbo<i
zx>_0*?y&efxGf_y;@4MvIt-y%cYV!lL=uEU7*1g(TM<1Pkjt_+1Q$=kdw-ZEz-$XO
zxW_v}j+|<m?;S9J$1Owl_V-1BkZ2LHr@KVHfr~r4aK->+>I3g(OAEnIf%)-IxJ`0<
zz{2}4J%>K?(mlN5A0MPIPW|3g*&_$ntxE=+1~5Du!(TJW4N*<mo2@n!Xr(^0Rb@E>
z#TNy;jtO&umG_S?@?MnaveAoyI8+~keV?g5=V1ePHXj86YATfed7hd@uO2*H#YSK~
z7(r=g>aCY96)Hn%`w7|51;+LC@Chsithhw)s47#TLb)18kBRGow)n|DvJDlC{N?#4
zvPy|wj8=HaW}^eQhGM52KJOth4k|W3GAL1Hu8Dn-``Tbfs^Cb--9TO<87~6}l<4i@
zncMTNTHrag9cU`MjI{PRu$Z9~=&Zk+$PTX-I9Wvtpb0ZbgwFsQ#VHE(%=^K}Pac|Z
zZoD+lb9@vDOuqI!e(HeyEhxdF=Ys|up>#O!;n0Pge0l7q?U4iW<qNYlE&LjgApNti
z-nRxZj9t9j@pYff<kll@a7!J&@(xD$l~<8FUD$R)gZ9Z0GKIEFBWm#CMA*E1<qvXm
z*UFBK(>}TK#@{z-=4v2n5mDFwW`KNl;nRJ2-+l5xBHQoH52|q1?s(Ai@lo>37Ptw&
z-zQU3Dm6?IRY9|Z=BEz#1X+vDQ|_DQ0oj`Kf)(<b1SzuYU;KBc$<H&2lG7Fs$f>{f
zn}*~_KyhK^1I?Q`^2f?;!zo`1l&UrL-^)T35RTeNNPDtKu0PulxrCua<^Iq=i$Cml
zw{J501)N?cf9)M#)2O9HFDqp{3$GzUmqtzfQ>In2Jqh?L6R6NSLD@@z$A~~KV(5=*
zTq8^ThKs2Y)acj|`*Sx2l;MM)U54%L4KfG*dILP7L2dsSkb-@c0Xu@8`em_2Ze*R1
z`>%r*75=GtGL2Cg@W;PMG$`$mmEHfHog&bop3xL{ORNb{MQ~*g!S0clm!^+%SJ9)*
zC)22_)9|o!Wyd*0?|?jeTi^Ve2P0~`@#yh`KT06gw4loOfdb`9El(RYVn%&J7-Syn
zD8Z4!SR!Vg5?z{kpqOIKiV9U6_*p)|0sFdR;~5QVl!d(<7k!)^r7dPpJWhv$_I?h#
zrN=ZV3!4ZZXA}oom0De39HI!TA)1(0Aq@Kc!J6=`5l-~Q^O=2_0|m%@$5usGM~CKc
z2ste{aHH|xEgw@QD8LwU?8oqJ22}b#>{jgt51OU<fJ;_U0o;0hMasRI&~o&ftoD08
zbYE}joOqu+Bwb@Mrn<|59(QTu{G2O*E=AS8Z%UH~8ixb@%Pnl^K0d&wutEs!=Bhbi
zbWtAMi==N_iE*II)FmdEB@y($GV2K$8+rKB%G#so&xw|Nt>^1j5=V=4eiwV#%7e6h
z{?VtCTxhI`c#Quo33L~ouf1_y9?oR#yPOZ;K|Svz(!U*+L|IiY${eqd2N65Yn<Daj
z=)!li4p#?h^ik>{w*$Wd%skZJ7Tw`TSzC%fWY5Z=&4y7gOJ6ELS1A8Ow*^6TTfU65
zJXsb^F=&YB^H7Az6mbb>j0j5ZX%=~BE{_VcDM_|F;-KRCqv}tH7^)F)qs*O45lvYU
z9sPY@38M0!?GswXQTKxGyqZxQIu%zq?nyy_4AC>q!wizBLh_fPsuDcv++ls(z~zt+
z5mVf2C#6uW>5RNsEoJnvL*kTy8xj5)1>hbQNTc;%MsLQm5z#^ulPJPN73e=1n)s0#
zi_+#LnA>&|QRq-HnVlj*J>#D&A6Hovn{=I8B~S%5Fj@KBc2NzE+;61Us+L1<#EAqH
zZmXc~&#4Kr92$_cmo*+qt$?0aW8+;gC!rrC3OHN)HDS}<Vd|-tBHF?vcRIy`gsLBv
zzx2IU8v?#s!Mqg?Eql>C8-S2d>Tzcy^CDf)D^?}kK$K9Ezm0`oJ5<m=g4J)nJk<xB
zMl8{BM+vPH{XvNlQbDD8n5LZoz|+acEi(v@c1T>l*dR<qJ(}t7n@So$c=*Eo@6~wJ
ztCa33wuXQ%%+Rhro;3hV%USF8Vm#V7-<sL?9f#i1+Tg-JGKAZrUMC#S;L(N|CbhD7
zdDN+@F!r995im!45zXH#q0*@d*jpl4^s%U_-MKI$z^v6B%k9FUGG6UTF<FvmE@->9
zR~bROqNM}AOcA}rR8z^|CW=aLC0y5UHiGJ}x560DD4=Pk-}27<<wMuPvimvS8i7=p
zDzWRQ9Lhd<v1fdN11)>zKfxJc1opUdCngB8sHZ1O*ArkstB0N6|4=uAmesS`k8aAK
zg7rsGZ)OTKB$L^VzRwU^G*p_OR7#;Q*cP2$BrlS`4KRl(Trz}T%Y=h_D-!7CF#XZQ
zx;AojBpIb!Gl0IG@w>@d;%F5kY2dG6Kcao1BrHGB0E+Bmv+9IJ(8W@pjMX!<$kC#}
z1>7!xfa0u;z`Ou@F6fMZ2IDFsCBx7{5e8tvDBGMq&x@YB%UE<#XA@aW&Y*0i2KbcO
zIY=eNjc#@J2-Y#}Anv+x`F4B=n4ZfYnvdr|@BBNeG}Ew)Y&EiF+{5dGW6H4zZC6$_
zcR~HD?vp))ZiN2WfQ261u-q`J=3qom?HsiF{MbXRTrR%5>8}fxx<wSVI1D=bm@=d{
zZV!o;psg}_t^?cVW!ZE^RA`7Ud23^37ZIYFvDp~XhEv(=zHyuf<knSPwNtXYh*<mE
z85v=1I9)$8({*c$TvobNV6VS}99>Irc0H#B7uZv73P-GxL%j6j^~|>shexryswJAh
z8WTR|BCtp{>5V=%dUgxh;8%E{L8S>?<?3U}Zd2sp8)YmhcQ=vF>Y^t!jvDZ7>e_Fn
zTchNljP|!58#j=_Wv?%W@73XRJLmnp${w<@x!So@@eQQ;Y8l@%VRd*}neSgx+Dv9L
zDrWS|TSsg?E}b8_s|G(_Urp0LmrIs2d|hm4wvGhtQ6<$csY2-uv*FwS-XkLl4+E4%
z))8HfrBDVpRhYVPA5V_^j!+qm3&#trBgAA|_LM#n;KYZdDIB_ykn>YXMh5Fhc?i9c
zh7AcSHFj;x`v;M`Iw?++sq4u0m29_;b`@AT!N7E3X#^p>c#d=B*+A?#NtaBlRe;OO
zrS{U7al}PQAdl|j2J&%`^UkdvB1pb{)BN)G1kxa*oYIoDi5MxEzHvNDgi4#b77FY%
zV%FuYRq<*I(M=al@BOC$NkF#03@^y4%l-}jkaJi;6ZyZ}NTc`t(2*cz2yo4#IO;Nw
z3`K<fo3+_R+@u4{FS99w)oX1AmOG2cg-5EXN^5(_cCUHZv^fD*e3m)cN0*RL8=AjK
zZ3l>xwPNtXZ9J3}GBZE1SV8hz7mi6SQGnP0Rl-7@5~w;~WT9_eMQSBCYxV`G;OlrC
z=N5$$DAkJm%yT<@mm(q~g*!DQ<7JIy&2Z2YRI}Z{bC_%LSI3MF8Yl~m=6v=<5nd35
z5`Ro?A;W(vlM~KkpiDx^{rQ>#^i!UmbQ<14d`I`EHYMr7gz0QY;AsVDC{gZ{+22Fj
zvMw>2vM_>oN!sjfvOFY^3(~l-6cBwu@4*Q<W~g$lC1?@lA;in9pwojAC?46_5dv7j
z*lnRet4I!f*1I-^K2bq)&8sKX;q1`xwfC+8Q4YTRaw?w&8Ys?dQ4ajW0e;nA)3h37
z!H2V3#&d)g>~3PkmM?O_0eu{Wp0h0IWL><u`J4{$`PZCBxOiaJoFtfskp+*?<afkW
zhC{#CixmFL3kXKDiiV7ZsxsNW-(^g|G-y2$Kf(|CSB5*SW3aGp=T~=dzyeEVzQ6ex
zgg{LL_pZww3#wU3)q@7?z*H1cANHRJ#64iKH?hNlN%rpJ{2UITJ86J9J}U-8KIQLv
z&tbu!Zfhk>lnW$V6<QikNq`i#GsY|q3q62wjIHAa$5>8lvmcVMZa*rw(}e}b55e>G
zVZ1=%-25|lUK+MTyrrg$WkJ`AvTMSF9|R4naadj~ggx5rZ5)w>Kt^-B%YK4DWu12+
z__r*ywg{I`zmWrePf2dlD`7~gJ?XA>n1?>;yM$wvJUp-}t9GFkgEJTC%~{J7VHfMq
zlCrM=DA52<_emUhXOkAo-zdS)wkMdAi8y%N%2E)?CkYxqms7$^2!KTr12uf{aGz<&
zTRlh${zE6n8M>5VZX|P8z*ZT4HSBr{&Pv0Dz@yVtO+>imIepY4iwH6lZIbKfu|N<B
zzB!Yt0>?kbx+n6JfTQ^tHFjJU9%RKFzwb(d@A4fy&W)<T>sbFb-05&%Zhn$_xJCj6
zqpAsfhC29lsR`PAQGgKA05A6`RcK7#p#Lvj6B4G@5^ss&KqIQc=I(V>aMJnP)>WYm
z1?t)Qbtjb|V+U<+J)#PKKP~b!j_QIsU$v*P10K8?ONC0BN${_(Rc(_Uf&a!6Mjd1c
zKmoX2<`osNUF?oJl@9QjdV2OmDFK=vCcmTjMugC&zG%;61JH4gN%NQ`KxdY}ucMtZ
zT<6*3+`eWA2KS$3f9yW&xtI&i?WRgF(^E*1p=1Q-tHm#IcoCpa{=HFoygU%NX>950
zj3DsfYR*t09_UX5Rtx0Fz{)`W<zFJka936`IO3@i4Db6%biI~<#@52gCQD;z_0scu
zZ;FF65)6xqB|<=Y^t$-?DPzcCyNYkAQvj1cZ>BY)xuI=?+FhSy45j69BJtFR`MXSd
z`inBd#)3fo?t&2r-n#=K^0JWAw=SF5LIEf2%)IX<89{9PT1l<03_K26lMhUqMS7_=
zDSk;9!4VO|IoIP-(C3>WRb^O1ZZlQxHP1H$nXWrlyY><g(GbB7J+tJd{r*%$%n(kz
z2>JbVUKCocbe`~b+$1mTcbL(p8-NEheV&h%5D?E>R6PB8Kz?!(<2b}>0QiR6baCT{
zy|wgdno}kfIzcF~VvPkjbu`zy;SD!PiwDt#UZX)z%CsT^bO2G*j3|8-2Q*g(*+0po
zMdLbRVyn3j*f;FySXg6$<Bvw)D(Pd;x379#BBb;Wef~>L=r%p%@l#sr2V+pJs4J&X
zJw32Fadwz=g9a2FHvL1dVbJ@T4fi$A=>qkn>ZXeu1$+|e!sKdV&@uNQ>1z*kAPW=t
zA<usc5t|#`A0MSf-@9$vbTw<k<yr}Y_NirL;ia$cs}Ne07%-kyOQ#JlB2+&75}85x
zqzJNX{IqCBtpA;8OD(9nM{6l-{~PHJy*v?CLxb*L?2O9G(ga*fWUZ3d7i2Iq>4wT>
z8dRmH{7TfS2IO2<eEs@m3EAC~>2IbA4QeAKHCkt-0rr&@I}ay1$^3=VAAWGqpu`?(
zuRrDLaCBO@coaWEM(jRj^)l0-CfBsmp9`u(jjL*<wdn*I(~gaum!UzMG)A7+MytUi
z-1_D0k$>dPCJEb5E;Q)m20zFAmMTb{dGB{2a*=F6<<DJEO@m$u{jJJ=RTYE<;)Hh=
zmdQ5r4BaKFv}g+V4M~bQ63pxEg}l*TBa6lM)AaqMMfpGTRz3G7fyT&-A#0xvGJ}X*
zvv4{FCG9M%E-kA7fe^sBnYKlqU|W_?2%|%_C<7~pgH_<VOh6Y)%?`PfEm7DtfgaU=
zTmSG1lL~15WdCz@WRIM3htRkFi2>~|ikB=tyfd4cmTI5rDNw^>UyK)}nNazvs)!PG
zB4h^7Fpv}|(c6ii>lI3wQOBTM!PKA1z@_rx->@AO`o{5o&=*fu^u?Fwl`;Ox5Hjgr
z$eK!xMu-2h&Xi+EpPFrqHwY_(udI3H+8-M9zftEH4s{MRsZrN~C7A$<DcWc2O);pU
zsLneB7f$p;Pd34E6AweP{PPdK(4j@1`f^QqT<HG*009606qk26)$bd}?Y+mbIgWXb
zgL95O&wY%Bq%ul0w2TT3BpH!VLS&?}8or`JNJc&nrHm9MGb75DosszY{rg<cbzk>$
zKkw^)z28}f0wm$I7Rcn1EYeSMqj6c>&OPknXusBdQsuZNM9GPM;Zfj4=8u2e%8kY$
zad9=y)k~VNnfvJpVVw_^^J;k9(~v|);r>5P;xs`tT75`$Qvm6)mSio>OQF4VvQh4P
zGFTlRD=1D8LZ_MLgwGDhpp%2`Dlcx5VL9UpO}I`NQCD56Bj)AMnS7ByH7Ch1A>;Jl
zUJg-Iv;61uYaAYl)fHFy9U#N#%B#rD6Jn@!k!TjYLlMn;S*Wy}B15)7p={E3aTKh0
zwDev)0lhL~uhhIlhI>zJukAZ8fiAVjY8Q<up+^IINgl&wkckY=*`_3g!bKKm>zq{3
zHu0dz5*JPI7r0oUupo_k#9z)zw5y^z4f%J4|1@EcFMPY;4_SnFDDYrDrj9=3%G+AE
zX+a=!;K<`Cd1Si$Xh+@(5xLz9dKcHD4d;r7r1#v!qjKv!)2}HSsPJ`r+MWaoeD=`6
zA1qKrC&Mx_3#pnYVQ-2dVILKy1ZmR+odlHlu+Ht#TP<|Ls%)@Dmj;ZH7nFKFWmK3R
z*m4(7L3_8$J^N^)11mYnJv+9mAnSuY<jqeM#OBxgu-si2aDr6hi3n8`Eh=fq<W5DH
z`4OGjQaw<Ym>4)xsfJACvy4{ys3<GqW3IKb0c<;3(&#p-j=p5%W-)2g(9HN5&72}b
z5H%;hu4f^kTB%d97x&T7$b60K2M1#y^|JpgV$(psD{Oj_%xNgI`R6jQn}UI324m=_
z21@>?EwgQoimbOQ$cI##!I@pR`Uv;QXmu=s*uB-y;<CUIV-GqM*GhIYC}^TJi+>^+
zSrioB(`F+V25{Y_uX+1fO|*x_qTr6XHrhXW`jCtf0~&9e6}-8kiLMQ;HF5Qjk)_I^
z=T~|euy_9Sy5}xUB)Yonx~M`ztw$znbdOnp&|dwfKU??8>{Pt8P1KO3y%2ZpdketP
zdZg}?$tbaj*JDyw869}vf9xcWC0LA0iq2SRpuD~to_n<vkzY`LrxDo_f`H2>okT)8
zIqj5)tFq{RgS!cjmL<&V|CRalOC9kn>*r85ap+L)K=>aKOF(<Uy*x|}mB^~hsICYj
zr}+^Ft^o^Bzjtu4msu6vrAG6#Z}OnQ6T`f3QZ2we9``uOUl~QLHMhw#Sdl^S+mjE>
zEg;c7MCSG|0Xd(u`<s7u6^pz_#gFtbK*p?4CfPv|k&ipCw(XwA-o)Iax%x6dOYFyW
zpSudED=l_%hiDfTp__10aTDN|bm3IN6Is+yS-6z8EtlT*skFNK7QlZ+a&J^RxAcEV
z+g*8~gT8A*G+0s^;Pe?Um2Wf&<Q!4HC{Z><_kNiosI!j__SZHaJ+2l*?9YC5YbB1-
zxo+|>PG2ww%9(TIiU1MxPv7mTZ|DR)@o2_Dp>#9o&kmccIVOY-=dAJC|CpppDtn#p
zt~Z4Q?AegV8Xt1WzI%}@JVpN?d!t)&)dXfRd$LOcHwygvCCJQqk{)cmM{a;-0(l86
z@~WX6D8jAe*NMe(dI4_xHsOoL;2QPn)$>|bl<(x&WGFdC|LdWr8dPBfW6|k+CXUPq
zXJS?BJoSryMQ$RmgWU)!Q=g8-AKkzR@#+7)zCBErP~|Y}KVS$uSUw?-2W!}&TkMfD
zazE&Xfqu$63Ju_h&_L#x{W4|~;NQ|}+ehD5Rr2!_uK|3W(LC&SX%Um#e9AoO(?t)B
z&H6<3)(7>RV78KtIc)Il#jn>&ztW`>@GW{@_24gu3j2KZ47P3TYio@CCpw{h?%WeI
zJ=n&1FI-uA3X|9Gq2d0kr+dqUWbb{Z3w$={#8K99%w4MF{hp3WI<6v7oKHa)N<`Wv
z3p__KLN|8m%*9;#XjjdLq7)t2U-d$&$mA!M95Iv3n|BMlWEQqxMo0(V1~B6Ce21{J
z>ksYr<`-iiY7wdtPlM)@qA|9sgILt0!1Hek7)C7^$apJAgGiGdZT=YpShW4(0Z;Dt
z*vr{4yM|;cbYYr}=u;o&7&6%ry6+?Qm)g#cm!m=%(%r1O^c{QszG38?X&aV4a$xmk
z9tB?A8htqs+ly_twPg0%(T+*0)!jX9Kmk3gJ?!~Ry_jyHpm(5CCw5Z8?aYZJZ5Z}D
zlYhRY2Wzu!|C@Za2Rmx(8ZuU;1wOMHcBYd(*!zQ)*E&=Cu!1^HPxHww?o^Yd(;a&;
zB37P=d<L<NG7e(~UK3gbS?-0gf5)U(Zti4N8N#fzD!4zpkU=XqM^fkScWlq?=M<rZ
zVT?G{xBlUt2E=h12a<IAv1?~5Ud;6U!h)Y>9u^oR!NpVge(Qw;*l3^RwxNkp?3u3d
zn<x?qY$|XvdF6xH&d<h*J_-|<x{b1mWDpTdmhn8}6+bZR-3(!$@F{Hfl#=taPwKGu
zNu~~Na0nB3+&ir(F@u>rDN&)QtAk~hyfO><Cl(#SP|IGJ#fTdvU+zSyfs7bk_+Qp9
zEL=~gGctG{GyUgrzj<7B>)X0FI?PA0$K$R+TBJp6mpbOqx=$6z#X{x7yyKXdkAK|=
z(;qBEN`stTqXJDNYCIF~B-VF<=yRBT1q(4ReMqOMK$?Qr^nIAdco=-6rKW3GXB_sl
zGFKU%kH62ZDW1Vf-j)|7JX^=uNc=*o1Z6moeB}Z!Z4UEQD}E&Jx{1xK{V~XSs017{
zwP`Gc^O$!{$XuElGZH*MtL3b&1b53f9Gn~$v2B+obQKy{kY0MLQB(;59;R7kuM_@Y
z3vp6^;SL+J<4*e>Xhi`2=hgomC#+z`zncQX;yBP^CuQ|cuOcw(bC{mpzlObk{p4p;
z6&G^bVe`W2vLXzy&NoK9TgPq*AHNWz#EY6{y;2UzD?(sB*PYA@Tm4a`Iqx>{Bc*6-
zX`g01{D+(H%F|&+oNepl1+GG<dR6&BXgD53E7}T1+F8)ogxG`jTl=}%^RZ+V0}uR-
zQO8%a+0gsjhP@LtqDY{bQku+<hpTG_4(bm$P=#;rDd!S#WaZ4)_@G4rYL<J)#G1L#
z{-VRJ`P~wzW{3V?sVoIZB%0;FrtzZCl;P|A`qF4F<othMlNI1z`iqxGyZBL1cRb(o
zkFv;LkX1;iOaV3n((69C384U10^H6~Ky0^OA9==#hoEo%oN{ZzTklscpd3;}s)lmP
z2W;?ge%+Xpr%DvPskt>T#G{0i^nJw#O7P%ydFpvkt~ip}qoH=ZR~a33m^&T2O%WED
z{vIV^638O>Dbc=F6_x5M{(8zy0M3^_3RgL$k^F&Z#?%)7ooy?*AFwL{Pns`}Q@AWz
zSPr~jprC=c>=!P#TPg!rf{MXYO$Fo}J?i@Bf+lKs{x7)llL~0P+Knf0D58Z6%B<IV
zw2|%0{zCU+HJG|>G?x`eK*{n|A)P8zbdaIlsJ={u>sdN!<{HY##jY@R!gb46ka}X@
z<&&Z6$?$>5UKOMetv%O&T?Ykkmz8(=rVWHNe49zS8Zz?We3h4`i<V7vtlev<a8&xF
zmil2L^1L){Fc_hS_A#Bq^R($e`|}?iALTSqeRYN%%|IXZK6=|2pr8+0%9e(%pUFtj
zysyIMkv=jE3pJU{F@yl9_x^rD3*F|JI<@PSK9b0n=b-K~0n23Bw1Q@BWES<Q{lhVR
zWbJOCWXoj^k8j#bs9m9;owm%A!VmP&1Al%L;s#(ZUB})&PC?&PGpGEH>!N0}%U;>f
z7_iCLAzDG&@<XoIP)8*Vy}<-~mb)#0XzcBC%#ez_uMQUJl~T}LOmW#-k0r#kem(F~
zkcwt`ESMad$>>C2Imf_bE9iP#@8?=XLAM>9lZHFh(8-u!;Wdgiq!zai&C61dO>A|_
zpJoEOtWpsj7-9`!-J@n_%Cr!dAyo#wlR<;($F^;Yvxc>2iS+p&WMr@4f8Qis1o7<1
zh&S-C2B)b_t&Ua_YNo7=+f}il^Hr9muf(h&uHl|(RI)k>IC`?0F*=UrhVnYtWn01R
zhG#MSbX8>GVwcSE@fW?NEW!MUm=#<}oei8CR6>cw>t)BO8}vTEE;o%JOR$o&J-9zc
z5zXxKn(}$f0k!ALgPphL5G|j?pA#;Rh`pR$?)&+m`Pb*DDgz5RmQoaHr7Dfeo{LB)
zng{{cVVw{D=?u8NG5vU*2Ztnt3PL;n6NZ(=j%pe+1LQ7bqbvgvRQz@SQPU(5IO`C8
zKHwZczaPKDQ8#{cKDCNsDJ2R^^cnw-&vYmd>N%l1$${1lFaDN4APW2MnSa>z*&KNL
zk4k;#V@BmaM@@^5iNZV5GogxpGYB2OzH=gE8C!q%dUvOdD9lalX;k=U3b9uL)=Gya
zG4G+IBR}w>u-0%=e;?5lRy=taBf;OWS&m*U$r%yYJ8d2*e%u6-7~K|c0_*78zNswG
zYeYaz`-qfPt}(D-dbR7vhUim9WO1Ps5f~F1wryK90-ZzCtf=ZY-SdDS--AFAaHXjI
zXty<josV$5$y1B;2&LrsXJ<t~>UB{^>~lk?eApPqvam`YY{89l`-wnh(UVIDaE9=B
z@T}dh>l<`;R(FAl+ahp`6F*TIWdI?5g?9Fbm|-d6E>82E2>9H!Q+M9bhvP13MUU)Q
zVVk)1n2(?+NYrDKQ^ES+ZC>kbL|}&pdI`5pFN#9-{qli5Ecy_e{o_DoKL^CxFW*(1
z6$Mw;BinuA^&o|XjgJ(|1^A?UzBi)8U~KyW$wpBRx&*#eEokxpudFrts4otU!Qz6e
zmAcSAoW%R*BQJ!#%spewi~|AvBifH#b%D{prkLQ(51HANOxY0}(2Pg4ud(VvRmc=I
zPfQSoq~woP{*nO6E!#EnQU~k|+~<#;5CVes_C6;jDTs|Z??^ta157uMC$3rwgTI53
zr<%Sr{1v}%+(^^`ekR=^W-Sqryp-+i6fFZPFJE$6&(k36c8Qyok|^}Kv__9D$O7J}
zm~8fr2EqGUD!5g|Ahq_W<C`n;kjq5TKb1{`J+Xi5=5@tku`>ITp&%Y&yfPi5qqokv
z_3ubI;vfKLbL7c19<aFHvynkG@S9b?5p+!gX#VY=Z+9tzV;0rNVe4Gthzx({TS;h9
zUQLnzOn}3K4)-^=>V$@(;R11Kh?Fi3lxkH1*ERhUPaf0YB6_o^d|3t#=?a?-b}Iva
z*^-lY8x1tiu!ITxmId_I@YcQw6)>}2DTx%+f!TYvyWd`v2kTSWh2<NnP-jmR5Ovc5
zm*e(4@oaeTSh^BbCaMlQ4?Vj;ey0Q30Y<k-9eBWPyYQdB3K62XE>~ctx?nXsBOmr$
z5v=k{>8G?vP(kE+eYHs!9DV<e&BYL4jL+tK9#I44BipWg^45dP&N<bg?n-cxLVaH>
zL<Ttnc1o(MKBUejtQ2i==4_I6bMkjG#C+7`&|TCAkusk<IdUpc`O9Nt?Ybs#$0ayA
zelvjUDa56<Sry>XD*Wxit_3zWp1fTj41tB?3Z1P|6`m!X=}&dg0;=eGFlsP@m(lHB
zWqxYF{;NH1%1aC8%i>tn+Ks`-TZiYHtUBB^C_T1pp#^Gc;cV8wOyJ>x{C5g3)WNf)
zB4VLO6Ta3riQN8U3UZA(T7k+$Q0O%NVnxw}dR5lpNoI2pyGl%x4JJZ^i2Sw=OEUC_
zo-&_fqQi}8ht~dLBCPI_ykIA#0q&7QSFNY%pm5HE@8DY^h}rph@s$(dsqE(Y|8wN<
zdf8d&LL&72ihnhtq7DKKkIYL|04#@Vbl>|C!R)=*pBLv;At3S7bUZr)OyZgA6vc_K
zp~Jj*{gE<+Wf3&I%@}~U9kdlpQiq>I=e~(H6Tk{Tekb5K1GKN5!Tf)#!P8gqT-6I(
zI$Zqy@q-@&G+(%BOKPcs=lOe`4g2JQEmq~3vOfc;B{ZjFPO4CT_>6J=m^3W;OyYY_
zGT?B_w^Qm~Dv)<^V^yzO0?PeXzhqi7VArp|Lw-KWaEkwi^wUl;7*M+Gaa@W44?BEa
zww+djn#84|APW(&$na>R4FNDc^c+5Mi~w&AT|2A6Bm_b$ZPOAD0enjzSL!({!g^KL
zoi0T_ShDfovF-xkzY#nC)E*BuZ}aeRKe?d0{`8#(0suwTzh}1R$wO$x0g)6s2Vi+m
zbJv6E&|0@Eb+Sel+GLWPywuoWz~Y;Bcc(cdSlqf<H!Tg+J7I_a#j`-`-p$l`ZF8{4
z8A{R(rQoCXa?lG;X3%x-qq9bv!IE$I>+Wm`I93()^<OR%q{w%rc=nsZ<+X2YT0|T$
zy(h6snlV8-bw+?{U<yXWqgK*i#NhCwj8_x|Cb-FDYd}gefkd_TGXwWU!H8$iT7?A@
zn4BMInw~L+mP;T0(xXJ+Ax=^;ERzYI`m61m-fIjN0gcZd+!hAbf%wRL5;N3cM3&&P
ztvvg3*-D^N2rg6-U8)C}q47`nVuzd&d_1+WEtpvdyp$4(E>*FB-+u3MjhkCO$9t*G
ztyuuBM-<*@e8mc_rF!uhYX&eg;@Q*E#1A()m^q(+W`jqFdSj=r0jRz%QF*<=2kF%=
z?*-U6Aad_;`OYzYSZMNWdVZ1*?*AbU7TI$`jDB@~`6+#v@b>gMvBnEQal3tms<@y!
zg4yrIs2=>>dsw&j4KENB_zAnscwpko!#%b>dO+j4pg;AD7h(uzY@$89aGDw?Qo5=O
z&Mzz_cfaR_DEGdAs3d;)>JoZI;HEAtjm8m^x%i;UX`3v~QxKZ%+Aha#<zjioy;rL)
zZ1v-KRqM(NA-EKz7<8gi2U=>)4s){cgK^{?j*tprNHuPI*X5!EG1?81?A820YWUr{
zyF&ziKd@LfWY&T1^EP!c_XNPEaafJYAqK`@b29p$(}0I_`ufu>K}bwGPP$|x4lfVW
zW@*Q0kfL|+Z2u`CaPz8fzW5jieVHFi3T0?u;BHUK6BLGHG>uL_aY?ul&M^AXx0RP?
z@9`zJ2*Xo}BE?skQt<i?<AP@%6{3x5U-4#(fU(z=gANQCAT*co{<}g2uMcmY+>I6m
zbDp@b`Wvz!^69Rh??Ec?FB#IXNHL&Izba<ykcXI3+2{ETD%^i2$j^RP93E^Q`+oH#
z9)zwn<d^ADVcX4P6T`JQh-GVe5OhWn?B~w%mFiO=kb9Zy4T~fQY*+sf5k`QapIUXl
ztf`Q2Nx`DYMGAKB&bjy@O9?dDU3H(Fq=I0coFiY8G;}eoTdp-JL(ng;11FNH!16ec
zq`y}dq*aM&`kN|{Ty3+N-9d$ccQrgIQ*y8#r=c)nqy}G;`wD)NX&~l-)huNw!0NCM
z{mCVD=$bJ7TX2^KtXg&Hmc@A3NK83GEG2>~OV82)867x()AUu}eMPWi_qQZZkRbF-
zaH8ld9oXl>P!o$IKyApubT?5lT$}JGlzQpHw*VG;S%eb28gDK3Q`dwwtdT!iUk{Qy
zql-9#lp!2vxR0o)1+D&{mpx_mf%8EUuEtjd7Q}S@BNnxw<7LW_gtP%1s`z8e<faM(
zuU~6Oq-(>R>#S0&rXjeLq>7#1rUvTN(*?CG6i9HnmXY9K1Z9<f_AAS)15VC|6e39h
z`}D4UEZP_%zJF<AA5w=ox6l7pxhWu6Ky!<HX98mco2<H9M3@duele1#4K<!`9kp4_
zK)s+<lPE<3$D^WEYg1Zq)z#P9(9|4erL%KABS_Hy`m#;tpeC%lg=eRE&|$MMI`Ysv
z5{PEY3lBz<VNR#^My5HycC~NszV(v8a-n)QXlrgl_1@!6l>k27@T>bh38w!s`$mZp
zA-w$If7~hzC}`fC{2WPwwG%?!EkbI5i$RB4gBUQ|7wVpZBf-x@&n*Y$l!4$8ee+5s
z16X&RA_ayL!87IJmD%?M@TJvQ93N)Dc$%xOI8uk{-NvgmS$LRdBL=iBF+et#Eeb!l
zHMgCm;qu~gaQ|iq)7(4*<TqRXll`d*|3bKqx2j4(HFNrK+II%T=#0#Be^CMM-3Kr0
zMvDVq)lUhDG6vK#8TE=6DZ~Efr|uFhMc}iTT_#J|R(<)mJN88?0si~lK<0M>;3ux;
zxM|9Oki;2@i;e^c;CV1c{m2d02gFv>=K%IzXuI=NMG-#Xor?qRv%`o@S~M{W;8Jq0
z(ejD{G!Z-<l+;<a=6iOfdON_2weOqfD&(NIul?<*h7J0}w?dL?4;_ZH&%7N=l7Vpk
zgt)&UYjlAkX)j$xI`};|(v-U?1q2gyv}gA+{q02k%7nW)B-URv4}B;B2OC3bLPVD6
zneDe%c%E<N3wAUAef{EahrfnNqF{k;x}co#bI}yagvH<Wn2Q1bv5N*~%k%Upwu~QV
z=%$c8A}|-V<=0&l^KiC3^YolMLF2pPOyKlc@^>*`Vdx%``lMm9KtDRHDZSEf3}Sb&
z^(r$Vs5$d_*9o>o`hOi7k(Ii}@cf*DQsxl>z>$uyY$z?!{dYE}V(~^m4(8!5i{t|m
z|7l^T*gy0h@2mS2rVU|YE%-z51P_=<JOBNlwL+JwWjXtEk0H#hni6AfaRViQwbPq@
zjb77v-CMZa0J4}LD7blWfh;@Ks-A0|j&oi@j|m2#K5HqReTfqqo!T8dbT{ZGt&L~z
zC+R~)=aeE}CC8SoqL~J__?QqBjbGr<huY8B{TvMr*u!VnITFGQJukY73c~b2s`h5$
zqega!EO@Ns*USQ6D%bQI)^)*HxNzsAM0Oxc1helTvw=%^#>$>hT^P_a_<22?9Skl%
z`IeKz4wr=Tboa370_SD!`_XCaP}L_HtEI^avZSbq&UhX0Dr0DvePIW7Em^^}RxV)s
z7V(TlUI&uOEjsQ{IN<%Q9b6|8c;IE!zZ)~fH26>Ax_xUg2Taq?-xWH;2TkV-Wj@%@
zAfEHp?^{ls;4a-CI_@q25fc|GtH!9XFuGH`T!srSlcQNUEQMgCtYMVr78M?o{@L7O
z;|5#aot(p`gu#2n>-UB(6`o{VE=(2T0X>6|o$oV5ASreinjNNq?}vX2dB6(|;Ue9E
zQ=;Irv=e8OPJyPW>HoS@_y8{~WAf2K9I9!fU!$EUAk`_98zL+K^p!*DN#Ahb9a8hc
zREh#OZ|vW%SSAR(b(Ig3FG@oEKLL_@lQz_a`)Nb15S-59caPMThDL(T?fi?{Ae!+x
z=gk{oaDPeLKgA;p<*OW8Efj5-r5+}+w~2u5jAX17r#wi<t7_%2Y6C;AJr%bu3b`jF
z<gbe0L4g1JzKGvi5a`)IH$fMN3*#2Ww`htG@kVA{W@{e{Zt!39$iP9@p?u>9CkSA;
ztLyAp32n%TnKIeE#n)l&R1NYIC5ZaIgTLNY8&Xo8_NnAaf$HB>U+q82a4=xf{{1^`
zNSEx}roLYW{+`RcHtDDet%<b-Bn=9v9?#NHRFH$l#NbnHHEJMdnsC<YCIzz7nnQN6
zD1b3P<%t7@2qX=@EA`A&s6R5HgbTw%oVngo)ngLq>1=m<b%zSZrjv0xF^XV9-@(F$
zBSX7KsP`g+2HoC{Mh*7}P{+)ND-YI$wvI%9ZUG$-{^rPjwNweL(tBryKWo8iP{xhb
z6&;8!?tkF$MH!YJ{ANww;)^{YA)1p_4=4{k90IrU&V9LjTi+N8)VuDIyQrZL<c#km
zXC5`E68Y3>zCeKm|FS)L=M3P7#eLRPX>|~N@o9ImDHZ<Q{&w<hiy>UgSilivi10CT
zJm2gH72d?m)eo5)!-;q2b{%IY0c*$|!?*TSpmyn)-m5kNy`wA_&V3;PaUJ(^Nt_B{
z++_{6=4PO|VlnG|MFWnc9f=QqLIE%z-oaUE4w-)UCdXDaAT`inXb<z2o@R!c!bP_H
zynCwlt{r6H{Ic1}@2mx)CyuCUZt-X*-Z_2yaWcdU>)C#CBExZq;;u0}2B_T&YB01W
z1KwJD*Ir%{xV!2F9r(zA=Fm~Wld~G2dM9b3Csqw?^0Q9rX<I<Xajh`iDGexUqYLs)
zD}%D!-0@U@3$Sl_$d;B%g1|28(^A$1;7js${Fi9~uAk#LXDW!$quS7}VXpx0hC0E!
zo>@RsfymPBC+d(JVOhVhUm8v(e5|;YWdYF-8VknGsX^x2*Ad-U;;?6~y`bQV1-v|1
z|6o{26@rF?Xxpy~!&2dAFBvNf_!kpb7xG>iT8~7Jm_FnM7w@nA*VY-Z+TY!L*i8uv
z6OJ;onzKWaQgMDz9s}I@V>Y5z6k#gD%S*a^lYTY30&ll#D}VLIo={4`gQo52cC)@e
zbb)ctmf=x=j$cd5O#$*S>*!G8bbE&WICi=^?<&BCP1WdnzYMq;>zXDc{iJ(ystqPc
z0CW=~<aT;V!IhJv9v@$K(LF!hNY*_>hyMWp0RR6Kmv=nX{};!voxOMVy7zLgdtG~d
zj*(F`j8sZ?ij+bn5|yNHWh6=ok&zUoQ2D%#P#IY%m6gaQvd7Qw&-Xv)an5<X&g=Dl
zz96LpZI=><erkh&zT!u$t7`4y$2e1%%Re!_Iwt~u#S5vS#iiIqm4~?@Z%trarDgZx
zvJm`uTCvULasrmvdD4E{Ut{2RR5)3vAqd&$)w+`Hqj2(Tzsdm(V;C&@hxCN`0oWHC
zW3mnK=OKA>PXdfUo1ikKq`(9B9({OyKPVIXLwXeQq1X^Y_1VAVL~=rW$cpK`npapr
zl+q<^)c^#=7E0sD9I$S3g!QOrEygQJms{Ck0H5Y#qscOCAb&3OzvQ3I*xg3e8{aeZ
zp_S8CH`9Ry4*fmrdR4Cz6Sg|RT)wOa!$!()R^Kzh!1<`FaX#O%-peBzNB8T&kT9xr
zKScol-pKM7lYLm-@dL8eZ*{@8so<5x<8^Ehu8v?<gP7k5ccJ^rx}Z~AHd<1@iluA_
zZEbiljLor8{oCSo0KX7N8HN>1aoY*fYwa=2AcCN7$)p2c?^*Sq;9ABaSpOSXX_&->
zjY?%YLbQP?yh<=#W(l*>6nL=1U<M<*$ancoGC)qVW-K;%5sT-4pY~8{77Mb7eK>xM
z0mBD#TX?w^u`iK%+qk&@VFbOShwaC-;K}$qtm)eVwh{Gw`%B&htnqGZa`*`?*jvh7
zqSCj3#rKBv+NdsJj&;cW!~z`-y8Mx%NG)Q8M%to7`&O`-?-%aNUZTT3QJ3!gD~nh_
zTw{<>!5TLH_o~cQAv(Nf9FON#Si(}D-Z<;ZPk>7YMYa^=(BLT>vx)cE687NdUuQly
zCXmh9Zgaz!1|Oft%z6wiWAf@yHebUG$z$q=&K7CHmpg$@wmhpCU+Q58X-ig^4=VDD
zAEN@kLL8a)TEh-0(S~33vjMxk!H*;w6)tEVJ^pTd9s7H$mCq=H17uD2deufyAo$&j
z$X!kZcs<pi;&_P@*rsbIL)$eVMs)HPhdmSQcyf$&_$D{RdgN`0X=%XMV!J{PPiEkH
zZNno|&kKL6J#Ufksl)RjJ5`b7O`Ytzbde$<08wR41$%ka;Sb;bK<z)Qz!Ir?G3$sR
zls-A|&HEY|2L4MsQ*wwMT+4cU4|WKFY0;&lwnAhuycLxtxyS)Z4&N^Pb{B!wD5*E(
zJQA!VWi)D6aKhx#F0ZfrV&GcqegCK(2_!SmZQ;)429PwK>i#7Tj#Q!g0s;v_&jcOp
zuHuEW5@E47dL`jRa`*ZEIwJfryV1kJApp9kXHK1A+X^X(qROtBM96vOlKH?|5EfG}
zP{v$j!G1;f?WaT{#FJQxBD00y+?L1XCj;c6jd~^VKspgtQj_0>%ZY$M^oa9dtpf1h
z!S5B-6M;L6Rd-K?C?u+m(jMt3fxB(A;*t;vp2rbo5<|s7k@dD}aHTTz4I$#%WfG*u
zs6S3{mIR|n?!z8#s-XMpbBBNu8BB6}q>cAU!*Fq3WP~sg!aq!9iO!NC<WKU#*aaC7
zdp<sv-c16(IjJVk6?Irp>|tnskb^e$&Pzhi)Zyw0(Zl!6DKNNTVEkE10o2+HPus>(
zp!wox=*bo;)O9!fEOl3eM;srX#d>K%iRkEWNhca$$E<3_Un;@kRu`|f6dGvlvCB|D
zN{6Ri_Vflp6<Brb!UIljzU$WAzvXGc@PW`nXF^n=Qfal_kD&!}lHLC8!rHL(_dH7a
zrUrR;(-Y5kX~7<0-T?l59q^5w4L8suL3pFhaDoE^6k^SOS^DTfwvBv=K@1tRrkK_|
z?=hfQHPiHrxdD9mXwzo?P909O?5{S>VZcOB@bY6lBe+?ga-ZI|sYg3?QGWl;dwybc
zyI$V}dY-oIyjekksy#HdQ$t$7{<+>sOb>&>CG9S)04i+P)7?`mss%2Vewj1z07Rp@
z8QvZ$RLAc=Ft|d4m;bd#44yUvzw<6@6I(Q)-eSpq1vFtUP4bwOu{osbls(b=Lj@bt
zM|3|q4Txnswh=vG4!hnwxAYIALek5@<$WbYIO)@2vF2d`+G!^W+^Z;XLE>tzvWyB?
zPq(nPy|#d_FHB^q)f#Xv{dnE$OA63yH#gS(%L3N9I=J6mR)@M@H7JO0D=^F!WgY%l
z0B0LVnyfGxnu;r9N@7G|aeSnC{|5`Od+mGv%~>K$7k&8rN{b)HwV$```_BTzz0Rvg
zRH?%9d(np}h!qI6SdP7(1sIvuF}RnMA@j`l1HaQ2u&UM*Hrk)f!F#SOlS)>Cn81!7
z4nF<Z?9`*J2?x#L%^87{-fjwDTv~9HU*r>>OuVpFt=|lu1-H$a7|8*PZ+nZyhY|c@
zvFDX99%exQC?xIiLmD3Y-@7xaIESb0Wj~PC58(MDW8_J`1jN+d+_4<Agg2SrFw67=
z=rbRIqI^-fU-fR#Ph}0iA@0Xi*NB00=X~YSJ|U<OuY4DEeFJ~b<<gq=-4qV7_Ened
z5`eD0gx%gD1f*E)q1y1*1O_BN<pxY~gTQ!CcK{+FNrQyNmqI3xDU?uy6>$KEs#~^9
z6#<295QDvpjG=6=;hp_mEZ|YsK=rvnK-%LYUWuD|+I-{KofqB&nDCeRhv^Xz5LfSa
z=NN+5wXl|l>C4!H294AG-Ui-VwZK_3w3(-YeJYsTKkNpllW}nAI-cDARJ56D0EQ9s
z=N}tQV<VqqE8n%Q;p@S3;?WWMa9QcIk9Wf`X6bR<OmuA(Z_zwW3T)GZgzH!B)P?&n
z4S{5?S+i9<?-@^o21O4}PMIwR1-D`A(%EA&c`LZDq@|SC4PB6LDs=VXEyrH*I6pDd
zS;3{$-`%bGyLn%8mTps*OYmg%vIl_^%Xo8nt~1vm9dPv+@9b!A#B<ztm0fOM#t&N9
zyRLoGhMtk(?t2zp_&2ij!~aH>af(U9E`LlLf=7jPQ(b!TK=)7uCi)64t9Zee{F(ud
zei!6>eSYE9?|ja2KUu-Ef2D<qGZ@grdu`6Oe+Yl-^giI_zE!;Ig0Pe53oQuocif{)
z9mNM5opgDO*6>pa+R{9Fn?6D1HEBLDf&aS4JFwkx9sgA{zx=0?4l>*GhkXsF@!1IJ
zTccSUxM6qU^n>km@X$`cch%0|kDk>Y?MWse=@*Ih3f(kl9ct!T+C7W6zHm}mKf{EA
z#D%ew$7w)b2pAatJ%@)^<R($hF(ZOXoNF8_4f0M*w0XwP<NOZI6&z_SsJ!BP?S!c&
z1T3Y`UN%|8cUYU%1@^L{hpR?gV#28)d(3Hd7uV(<6GWopZP-!g9mzoUY6^@9ojCJu
zb_Fj}v!;xG<v_t=<B56v6qps_Txwol!`YsuXY5GgMCSIb?&Urj(B(nM-zl-#cVx%Y
zZ(-bMF#MnX{aSUHwYJ^Mux3IUQh^ctNxZ1ON&IcIhB}N3e=Tpi$&8v^J8o9?@}v42
zZ8j6>WcUSNM&@Q%&_%wj$6~Yu(Hol=Hf7Re_-{47_R(oJ#H6ArQI;fxyhjRrrLsw2
zg!whBig6&%uh*#Uq9VvO&Gv()0SW%Pp15V#y9GV}owVfmMidnf-}T%1V>2IXi>`2e
z=0ZgG(a?`E;wVwFGoJqz5v1h;?YqW#kk{F#HjQDD$a+5E&H+avT(FsyIBUR<&b4mi
z?!POIZjR(VIjK&BR>v;3;U5BM;mGk*M}}mOjkiG7k|Yt5UGfYE^@Y%pCVGZGT^_xi
ziqsWUB*GmfDgC?>Ve~h$Vf@2Y1$0C^mF{FsgtaC~J~2B{G_-wBnDc@nx-5Fya{LAn
zT4KG6#@NLX^Hinx`$%Qv?q%>Vb(siQ<fresgAypovM^_tyejG;axq>cZsu&jE_c5n
zDHO|Jv&*PU4b3Q77!ePW!LK;Y0_TxIDf72=(lSY?W1!UY$f3>s#{^GAxX7XKJSE<Z
zFm<$aP>f{qVAHRU_%~M!$fNA7K$bm3LC*BHvD=DNpvUplijfu3>>A%l6sCz<L-tKd
z&S^sW@1G_OkxFRvsM6y7>ojyLUDxL;Hyu`gZm@jnQ$}OjR<E4=>8Qd^*Koi_3tl*F
zs4dv2q99L+A4pdVS$BVPW0WwUpl|X1&k{9MH*b;~HK>K$-n*KrTI)b~^^eXHaS{qQ
zVtuyj7y}*c4Q&3wst5YC<41O%AS2nyg7vHK7zj+JEYWX$m>Vy2b$PCiat&+=i|q{b
z;Abt1a=#%Y`!edzf7U=zk5ZTWvl-|d)7BdDm@$OPo(o#9rJ(rJhmsY^48*wJP{H%h
z6h0PQZ*jOpMXHB_MR$5=A=ioDT%(}?kDMiphL|)_%9n+hn|5?mUf+1EVKWzg(!;A~
z^)=D0cb-+kLz?JL#+B2-TIS&ObbY~ENfXUQ>zMAS(m-v>c9TB+<`6ReJ-@S(itPT&
zEYaUiLana^#WwsbU|e99z{E>MV?up1EIBHOUGP}Fc%20-2VK!f6r!LezJ~tEc?Hzr
z;bO*Ev;dK!loz|Z)KS2QwcFMATahJ|hp?Z?5{~HeTJQ5ABMIpeofd8}6nXG!MEY+F
zK-|S*77awySa;EM`WrtQ+a2Z~SzrOZb@%Vt@~9zRwFhc%x!6!9YjdmGUJGb;zj8j<
zL<RM_Ai4Lk3pkU6$j+8Yb6~wNvoPnYgyP+IlwFbO!+-L*{4)qMhw>Vuxu=N=D4Je!
zOMa~tQ|vSA_FXdrqt-3jKNIATAzpRWpl%#v&v5>7G~5hA9mG!+%Wp-FDPnnq$$ywv
zfM@%WWdQT>k5g^mB~ab>XVso(R<Hwm>&_LN1Mp9l{>b<!iqa3gubXq;z`o~B#YQb)
zkR>2>PkLGi{rlQ~_SysimT7fvHY^w*Q$DW5T>|JqrlKKt9us_sOe!xIHwE@NlUK>D
z+(>jGyZpv76UbFR9y8Z5frSTGuZf3npl+LTVIKlB*n3^C8gSj@*1pc`{8v~IaXPHa
z^D`3^#i*J&TsH!V9`CT%^BZ`=H`fm12qviE68ofBV+hBL&&xl_T*4*q4OwxCF+u2y
ze8+ZXLue?d5I?svi(CBqG+6hT03lbJ<9lok;B!<&GwII+{zE6FuvMP`pDZf7Yf|*V
z-%r`FWquIfN~gc7dAxzG{N*&}8P@}?hG;@1dp909!r#!du#S-^9s_n(dT`s?#Z$hr
z9_RUSdGFTa>)5NlJKxkE>%!-hH{1?xv6$EGjiR$W>sVg}<?Rk`U5E~A8%!cMU^Sz!
zJZ-zzFwZ$?I~Ae>`Wx4o4Yq&5embQm6@FX8Zd}iv_88O#@3zOXCh@&k<#ChX-<x$F
zbTaIRU9{oTp@cpm&Oxl^g-cRi$U3&@Rp9rng#omsMD?tdVa!t{(er@l29`&)k{7dM
zz?n10FMlZ>!@lwVM>U_=zydECPDeFrfn%lWF*D;SEcmK2+8;>(&-Z(eaqQ88$%KU*
zA?F$F<6g?=6cr}0<RbRp`9_ENQ?ve`S!c1qSu<A{WdeJ0gq5l<9lkOf`%S!<!{`UP
z2aYr|!z+G*aq&D2z7gNPyW=;Hwf)hva&2dUOg05)gX=Wdz4rHF9&r)d>%E;XcbOGD
z)|2AulxVPUSVN_HX$iBpr})TNu>;NbOI6E7P2fq0THoKlf;G!bPj$cM0I8UVaemcQ
z*dg8fre$yqn`mjw-R{5%+fUcqrtnaqTZ*~Al68}Z>%~in65Nm!)^Y9mVG0!PR?hP#
zGXdw>8QNtYUZB1ytCN4L0UxX8@+5qj;YxFP0>1h0t%zcBIH{-s^|91%Pb*kJ8=rh;
zT`vIr%te#dN$S9(%NH)7&IY@7pWCw{C<Lin*^EN@)nTgEe0X~WI|wET$!DAw22&Qj
zjejX*V13!ibj^PYh~3hW4`UaFsJ&dF|0rZgYPKdynRCI@0sFRJFU26?Bq^h(jRfdc
z6-$sA4_sR-jxoO`0n$_3^W9@fAb8{HJNe^$pqnhnK7U0DzEl|O4ckqE1t$|<e{TV>
zHS^Rrf4UXY4!zlTg+c=Uz$hBAP!M|8`Y3cJIWV$(WNNNR0=G5=xg36BNY)f>FRhY?
z&S~PAK{^R`e&R<j<3(U5aAh%CN)h%1vZctllYnOQvW}N71|=8woRYh)1Ojn!iK@jU
z*c0V^N9V6N<U1YNE-tJBxOO$)dlDHMR9!IdPDyZKc^*SAR)w67diCusWC)LX+u;6P
z8uovu5OlnVkYO8Xc{NuZbOzGOoLFUHUFsYuTZIgSjWXGnWg0-2W8?p%CJzp4YdJx)
z>cHeI%W1|*1-t1xgqMdDpe`z?t@u3!lEpl-Z$8w7cU3u(`?C}wQd=})cakRbSO|ty
zBN}WgZ;IbPs{|y!yKMe>G<fE*hsNAZhtT_ZyZ70vfNQqnq{>-3+?Nbh6qjLu;`y^}
zT~Ab@fcdsy0Zj`E17;K~<FuidQ$|vblL$fTypnYdTA*YtWx^t_3-Iu}jHVk2oCTC$
z=jt-RH7{*XT(=(7zrCr@nneZ&ucqbTlMFEIH|6krVF32n58JvXb=c)w?I?4c0d9H6
z_7F3T;JJ?tL9SB+l22OBI;$|CRo*E2UWy46Cu=CYEuui<ix=#VZ)-uSXz%Tfs~AKl
zP?i7frouIW_R@V7bWjX>p0@EEAo|glLFX4#m@iv6q<D`8gP$YP0^`iUWr{n*ZIjpA
zl-j>1ouz`qlvmVw8*_+VA+eG(si6KqLF@DZb=Wp{<zx1sIlK+H+1{^4h1@~=#hFDl
z_*1j4bLfBtG(PlB9`>QYQE4CKAF2$$7dg(K%C&&U=1J#^+&AxusqU`+KY4g0bof7|
zMhmF3xm{=@uMVWnj(kOuG>E4N5B&aU0UTF&KfWm<L7N+4*X|!8u&0l?Yjm^Dfr?Ty
zJ#iugmkwvKI`Y9lMbWjW&Ai^r!dYbFqYAIj;<Wv{SfRRDjT9_o0kS#MdaBvVU^Meb
z^!LRD%=)OHP}mc5$n2nv$@VA$vGb3DRNMge(vgL)S>GIH+Y}e|wkp7nE1-&ItMFfr
zdEOJ1W}s?n1mmA%;Y9heHR1LU-r##(G2F}yIP$jz-HVn6dEV`d;pD%#fMlM5RSf`X
zw-)mO9|>qIkSO({FW~W3glCRc09{E1Y?fi75RToos4ZH?orhOH@}^=it@;XMeJ=z%
z;zl{WCRXt~!MsM{1*Q;W&97^0EdbolzK)!ut>cr-Y2w4RCXnG@`KytM2Q*8#rOQgz
zaiQSwo|0i>7|lN+cBG#JQ2y&ba*x+>xvO;50U={Rw14RpL{><jKj(BxdmS(Ca@}iS
zWdzv7%i<rc1lW1<!^&9X8h$swOk{tQA?RA%G+cPHf|)*Jb|Yr5;%!+1W1njbAZyF(
z8<DQ_*l>H882{@P+zG<!)p-rzWn0Qs+M^jvty&<w{KGOnu6w(C;h;Wn3$$PUGCYbM
zj}v%rHL`@C=#!WIRH6q8L)BZpMEt^nuAKjSS8fT9?lHWvjZY6U@{h9ce*K2Ir*m=>
zf){aZb^ULGCv>4@@RFE~TO(%Rr>}yKE#L~i(X`(kI?yN;taLu42rH8q>ADrSfd8$W
zzIXxCfxJ{Dr(eCL_!sdMEf&WGJi}vmL{5=5oVk^sTKe!4p7?a~R+rTRF72Ouo1~}>
zXCEA41i5$OS=E=4Oph$!bSs60zPk)4=Ekpd+5f;7dCy)JD_y`7A4yl_iZUSmzQ|DY
z!G2u9Q<_tfzK9297RVn?)`Dn0<%8VrgE%LzpD@#pMLf&7ig!Xn3mOH@IJaZNxN+Fs
z)cjXV_~OF@=|&lJkUbu*{fm7R4?FtyoNDzl&LetvR9~GA2Y8-;kFFla#||EE{kpM&
ztBsG2eJQ5_HNB*mHDU@U9DY<78MKC*bfw2|+tEO*MK#S{eg?0YiQu%7+~nD@tpS-e
znlL*U{yyybU;NHw{*mEu0*d>)_{w&k3foS&4HvU+a%-truH1DdRFl-~Ax5J@S-sp`
zc>F)y#&Y*Q<#J}!;rg&vB8URh59|)^V=UlZZ=9VZI9ZWN=B=#2at+X+sP$COEaH_}
z#gzdOY^caiK){ky1B#B{PO$sDjNi$JcY_ifNHZ$#eW$xRs1(Q1bJ|yNAwB-4)SfLU
zUQl)FG$I2ZbvQkruz{cZIT5?m%7v~D#@x6<Btt|LhqZnY0qMpY-D{oaL3dw2z3|^%
z609!f%B#;ap;5<?qgH$Pkv-dCTe1iV?gcyCWN~FdI$6FK#{LSR{2JQ^mAgc+5WM11
zyUE*z=Rl(Hpb)w<pwSUT+T>7NK0D(oJKF85lN0(!7~P4e;L)j5gI|R2f7YD0puOhY
zZ`M*p(ebW<pKT}Az^tUPKX@k>;+lQO;0_W;rG^V%|B=-oV5~m7C71{8O|cjYIxUHK
z7efQm=2fAzC8vY6i4PSEw4Ghbl18VC=u`4vRKZ9p&pG9(03vMBmNsXWMJLNnwCrhA
zg^aa}c9nucNb}2zON*^MGHKW!8TvyNj2E{~@FfeQl;hfBL4^uP^g*eQ7nd4PG9O<~
zFc3vOb02=*Bq^bel>F?N18VU2CV@z15=Ub<9gS40lu>hm&d}dhH89fHS{*(ifuhpw
zhk{S3qO99rW4uF&An3a#y<tNNvFtgkUS>o@wkPX+Om>o>H#>g1Twez9B>+}HslRQZ
z^+}SEmJaj5Q|@G7-*#G@mMVuH8=sNX-=cxcem5<6y;KK`^6mF|J_VHSI~>AJprR7~
zo6Yz3Z0hINqxZ(1ipZgy^OeS;CQ?vGBW{=`Fb3qMG~X+s_9L&d{QlCA-R)Un!D<?~
z8GoXPYpbC3vgyvm?{qYv`)<%xNDD}^@!DYps^|>Af#LHaEp)v>F1Rp(0q>E*aHt{?
zSzeQvyyUUTrw3j0u}vS?k$G6L=r##CzdW$s`G<k5mtH$}iT~ecyr;G;l970A?jI2Y
zZIsKHA0UewK%iBggph>>ata<X18Z$G_e0nvnqma)4Q*><M=6_q{QD!srH$-mB$P57
zO(2Q44VijSQDf@iOS{f9(9FIjlFS(lGHHSzYh^Uig-BMxwNxz>eYcG%w;Eu}QR6DV
zWKDEm<XWhMFCEF%GG)4ynn8`f_X`@*ME<QbRk^R4Ncn@n#{M{SxD(Y;B6wF5@$R5`
zQBG>04~g&Cz8YA7t9gNctgI#y&EG+dDkCE6r={U$l@`#NdP%I?fr=K-1WBoXQ${ke
zNiAPQEWrs5%1s+l(6#o2vh&OG=t(eNVUvj^P;z>P+6UCpk|+!?qNPxWT0;nru_YA#
zyphrGKt{2pELn@2x)b}z#+JBQN6lO1Oh+maonlhF{_GVO65&d;de&qC>gl6LK3A!t
zjhw!r)uIi&vM~F%QJ@7lwQ_~Ub}OTdw3}0Imqu}azncNWtL6~!e#RhqQW2FEzKc5k
zq!M!u54Wj^GzYWJl}MH?3TTvz@;hH@9IJUo&iJ%q22Px#A`CZKWbG?^Tr+e5^FfGR
zHN*_ax%qFBI;7Brnh4P?(d*cYg%<OcNr0`<vPJRX;%FyRUwv=`6PzXFiVPhC(0#~a
z<9|>DX)hORRYkIZ=un1iawi6hqf+mlo)JVDmu?d;B(Q>jOn_QKk16c4*m`)|Ltdny
zu<yB#5*v7&&e6RvV*(Z}`xS22Z$WpzZf~D+W&@<aPP@cs0tZ<pT4TLg(V$>zK(r+r
zaFx&nd~}TAzGZ2v$4LTu!o8fD&c+5+8sluwe2m}%MW}POehJq$(JN1R!U`2PDLO6b
zh7i1bATc>`79VUa_2S*e3U@zN*pd4TU|?`W$m!}BuAplf68)0}Vn2-w5lIFxX>G$&
z<KK@jFukt*9l-(*2I86x&*{TXH*<N1&!6!g!MCQol+Ahd%O!uc=mA__rZhFh;4&AJ
z2Nb56!LG^IsaQh~EMg~yv;99|;&hgms~?#mg5r38+bvxvJ-y%I_VaG6g3UKI1Th28
z8u!%B1s!lvlBMt){KED#PDkamF+;k*+o5aTIzTFX+Ub_^2fJ&#@3;&L3kX_lxZ+>5
zLG>sh(C_*Lw*S0Cm9QfVupAJSuCdpKd!B`UZ$)RYf2wx=*J@axzS^Vy)Q8QSeOb)R
zYc-1%+yfCmXI2<(Z&`V1%K*lQA`uz)e;7nS%soyvuuJHEdbU{$ZXZ^QeiE>N?Frj$
zCg0BnetprMFI}`?XR0&zm(xpF-iIV%nV;-Hd~kBV-)}lhYCAU2B33Y4?l!OA>l|Q{
zy4&>L89H3p{qgM2TWeU!Z?|#|8%~fs`a$9VA01NmpP*%xY+yQz_9KoJTo96fq#EVZ
zAmuYDdgC7f*3U9g`&@W{KU&vu#+C+(eT{kw3d|7jEo(cE5+CsDI@M|SXoBMCU-9Nc
zEFeuk>1xI=0L?}Xnp0YuumG<p;?G#&!?#=QX{v&N1@dv`CQ@O0&4do01Uvi>00960
z6qk88)NdEY6CwLHW9-`)yKFPYI=4i!rG-$DviyWXC`F+K$x@L*B}Ju0BBAvCMrBJ;
z*-J?)k)l$Ociw-`b*|@n&h?z<zVA<B*p|m8K2nghHhv)e&j79Q^dIeo0+96^3TwI~
zjgE(GcbPZ?RKGCMj<s2gWFcCSrYr?~&uRp3{nf{pn@?J776`*3d)eM)WmGtMt<7WQ
z=tCvWbH&z=BDj8ku0`6LhO_E_qA5&$Ob4=8y8je|%`OqEWJ7s4%;fn=ebGb9p-OG~
zNeT4)qbLOEDT0+|z1Hfs9v1(;e`UjCN$h_8Ds8QYGP)n$8=pR@hZuwP(|hEkv2>B7
z+}f3@i0t*a&YP=;RX+};C@0Hc%Ej$-ZiX6^+sZO>ujt{}=-y8c_^7z7OZo5jOLerg
z)mGS#=%L5>s99sFEM$tQy3+P^=+ndIRXF;Xy*oqG43Yz9-CS$uT}`CCI23ZZNguBE
z<G%{*6|ka=+3)V81=*uVU7KSKpj{Ur?rNums@j0x=iX`~NQ?cT%GVG=4Jp<)Hmcym
z>CyDUR9$43I%W3mT!O*gpX%4!RS~g&<L3-xee9$r$gc=B!i?^A<99#Qut$q0UZCFq
z>yDlunl?AaHSdaVX?hwsUj(0;m?bFK`RuKjt_d8rd?a6m(jnhk$9Fox2;W1bq{Qq@
zaeddndG<9;urnxU3-yiBIC0)FJkbnKc|39^CK=eFsbtsIXbhoj!GPsMOawk!Mc6OV
z#^0N})#h0y*!7_xaDJ0Hc8wnCiV4txm2y$`P?8A-wFfnZ7Fa-Uc;wWxeYy}o=_?g=
z(gfX7z2*HimQdc9mp7NJhi|X8UmJ=uL51JNqX*-y(Nt_2Y3HwxUw^ATII<=v(3HOG
zXk&|w^<vTD;s!Wn^1V1{r!iU-W+!^4IdHY0r{<&^V8;!2@#K?67&AC@QKS`EXQ;W{
zuEhZB=T1()`)3F~ov|1B`|WU}uHX6KBLmp(NNEiZ)ki@ow0bp`qDez_N-@O%{Jw|g
zZ>H*Cc;M0g*B6$eDEQIat=#=Rzk!-57|XyCPDDl$uRWr6l>Scm|DIku)3o1R1MVZw
zo%h+=Bf$T_+8(AJf@CO1!;DmMsWhtam>0L-r^<05pDz5O`XqWn<e_!9W{sx1J!S=c
z?<}~ijkXBqn)?GX(6=1FHLh)sf7!PtiVd}}f!wgQ=bAY3g0cs<k1a*)Y@W~SGnyz_
z{(R-DL4Ir#8Wv41Sc>DL&G**v(vj^G*k4)jkE1imWWKUo3Jo&Ys3%Yz+9tv54YS`k
zRh9AVzD_$7=c{cM=I&KVrTQtu4?`Tg{`o$GO?D{I+1LGOmogTt4rB2?I!UCy5f&OB
z0}{?u@=xtiK;*PT$lJgHB8X;iZdV+zNvkW=@gfb8`pE@j-X93#PI>neJV2E9sw&C?
zDkyPIC%lO-M5g}DM?y**=suzCyO=HwLtBe)_oF6>szZtmM%K1aXP1f}bdbcGgO5{d
z3%?PlZ-^=kut8kE{qy_~F|2D&mcJ|hoj7aLFwvfAjg0ws%%5dKh!dk#zn}R=#5shk
zd?BrHV1<lAw1WU@>SIOY_Ix9<1D}kK{jo$h^>dY~Egz^RA+z4MCW-h-0jGQ`OI)2=
z=joWigL8Ld&CVo#B|^??$dsj6;AGsnubyuII0BJLXI#9-iP_3J>*l9yOm6OOy(9gH
zGZ4wjeknCZ{5}2l$3=BEUT?1W{$j&Vj`v6M)0(zV1Vtd6HM83sUCa2T7AQ_}99^<_
zpJsj_)|Q+yi|AwF*{b3`C5K7Q1<yUgMWOGARomaDHCnQ;I4CJR`qUWbX2igZUhrEY
zTCh8^{u~qE0<E-`dVJ*YXEhucPJ2TfV-y@#5@kYh%_wcWV1#q;G&OYJ<yVAE65&{%
zV1`^OBRVkT4M(eA|G%Gk1H}HxWQ)K_Q!L_(y?5AokV6TZd@<6~OPq^q44Mit#WdrT
z;>nC24o7&}o3^!^aPv?<YCmFvw9A4n`*uF#40KhdP+XrA=Uk#Mn{GA%|A7+G;PDR5
zwiOqA(sy+c-Xh($rSFX4m~VWt>{Bzx<EhE1jonX)Hq9BSgssN-_WHoJ4|f_lrZQ?9
zmsoWW13VIUPfr<vKYWu~LgrmgtwQ$Q7Fs*O8x`pDZJ!Ya=Cs@o_E&RW(d}0B2euL`
z+dq5xiyL7{fBKE!wO2XsXV#X~QCo=I#P;1K_DjH`E_1WGRLn^nyRiH?qnQXbJ1@6o
zn;|TDcqp0~>6{BYy;kndd_?rbjoS2{F+g9;Nj27FERiG^oSxwDh!FP>QR{u755-$c
za^HN+BZzF}KbKZKB7TUp`dLfpBbehmpA=O>sPxJ#mOAl>pdP>0KkT80@}KR?b+=q5
zj3=^OA8R!eWYNRY^CxtX&^Oj$K3PFn{uJLiHrq@z$Ss-i8`eR|F`u#?r7Ggf<KKmQ
zWm*ZrCmHhJjdZZojWT}7q=wk-c>UgyZEXba&b$EYgW6C{dvPRnSsl@@ur5qW<S`Na
zX*EN6NDJbpRt6{q+$BWLo&CDtYX@N#Ty%ez6}K+2I+DyKh_6ZZ-72D;#C*=fbi>mO
z+|K#2ydw5KVV=|Yx!0+S*!L#rnK~~6q8B~AUD-`UMtb1^xogjeM~l5DEFv`V$t+}I
zPWB-o?C~IO!1@J|dyiq}Gf2k(IkU4+zL~h5_*J0jZ#S{H#cENA8y$5by7LUjR-&7w
zXR>3wm!NK1-sjw;fis^<^ga}~6YZSj2U4;F#9aCA<>S^G&_BIl;U42BgjJhgc5mWK
zBEfpS2D@GzH;Z!r+q<um;4S`3_GrB(QlDvOP_5L_UuWKzCislV$<TBEB|1!e-5??o
zOQ=CIlQ)I0_BnB?%=Xon8*d5q>0>Q+%ei&^x0QR2brU{*wFlLc-w`&VYs<r*sbXNm
z0o~D}USd(YaA?f_4@A7PO!3D}s_2ScuG;akpNPD+dfV!TPlV^t!5+8wDj0~gO*iv?
zNmPu-sdk!;5p<I~3+%;J@b)0{Z#U&N@jKvDOwHst(H+E|E8!@kEMn#59I;{Iz_+wc
zmxM{8#Pn=hXq*!Kvl=V(?z|=H8yNY~y59-M;N@<GRf?#&*A=!Z?;UaJ4wZR8V4B#w
zPP}~iF9kfQRr)Ab@_|6tt;&0}pM;Uw;Jd?i3NR4${B8J=t1pJ19cH%75QnozhI5X|
zgSEY4^yStu!gr2(xZ>*{!j;;%_vEM?!f2~+)6FJ`9m^gpP->bZ;xusk*9tit$js*d
zuXK|5YrWx@`i=!;<gfjWs+BZU6^Umwt^ZE=dYv~AG+sz1OPmV0q)I~*?+>AAyJ_M_
zVdQT;RX%e1Zv6$fQ?gJwO%L(d_>+id-Mhl$$WJaV*t3UMQ5IwCRT>{u%@CdOwA>??
z1j(B&BC)fVsSqklz4FH8FTt6L=?QfgCKX>N>C`QwB5kuu<$L{qL=8=)wa-?JbRy~p
z<R&P1pWiyYwPFGJH%oED8&ZOFldSu`;}Qi?SBpmxyO7L?Y_RChmLgr^I~1<QQ4n^#
zc2!$AA1N~SxawPu4CxaU+32}}f@KvmgnJ=BnH1)gC*DdWrN;UP`ZiMV=ZgQobpFL;
z3a#dxr;QxBuq~wFOcDieJ_*E@R|}Kvv;abQN`c(IKkJcWI|ci*zx`TqRgBcgyKyo8
zt1`)Qz9ll^Kt+nThxL*_668+nABDXNYUHv=wJz&FRJ^$Bdr`biiX6-PO_BekPD;3b
zp{q>G;^fN*TOwLz$hg0h$1X#3^8D20H5csU@bSkP+rht7GJJKtP}n?!w7e;OYu}VS
zPF|wExEv@)3i4cC>FA<EmTYP<wop<+mht1O7x@**7M|;xzX&~&8vE+Tif$Fm$DZtL
z8&M{IseHO(>0?MPIq|+_Ux6At*KfJt|4)@<B$j49Pc<Ux8#~#2S2f@o`Y=-Ok~&$a
zJ@s~Y%$R)gpYi580|wS?a|#NNpp%-<FP={KFePmVKL^ej=)ljE&@6CfkhO(t@8p-8
zkz#?A*`sy(7<S;Rld#k#KgcPsIWfj0+bF|4-@=VhUhFhiVya7?3RZa6%wtX(dut>!
zT1{YbRH)KUU!U}~=Bzs1XHGs4ELd@28x!`b)v;X^LsChbzN6oVP427d^t!N?4fRLW
zjvlX<kRxNtUWc}`$<d&#1#)3l;47~yxK(dN3d^jd)bg{*epflRa)B*Q>`pn=5nxQJ
zmR}I-kuoRazLzjp3<Gk0FGb%C7?b|dFDAQkm}JeR<R*<xOL4eqWfMcmgrw9sbjPHd
zlCSpq+<sYO50d`im5{m#xmGIS^G8Wz^8FsMjIA%0LFB-q&&D5&N$*#uH;x_GCygJs
zzkGki0YX0n7EOg3lbVjBgzF6kdB%0``i(3{L>*)f1yvf6NkziPlv-6uQO`4eCw4gE
z<@%4hJ*i8`YL$P6{_a%rglW(BtWZasx^zgf(93`fDTwFPiwlx9-uBru>W*kKs3~6m
zUYBI=UFdsh^(P|Pm$FU!ngf>lIjIghYm*;0%gHFqedkzCbagJKI^am1a$aVUCi&;d
zkL|`Di}0fQxo5)GW$2rf+wC^4P97-z&*0-bG2C50$6R^K9)8Sq+UH$W$+QhKuR}$o
z(YdRmy8GW!Sc|!eQZp4uQY~cR!3z}BpY7-U=DHNV>5MSbW-6KKdi`4FR#~JypLic|
z-VP?5SbEKBDN=6aSLN;u8Xo_2I&Hychx7*q&&<O_$dMP;qGn6vaNXoko?9gFc~jS#
zf)PIQgS1h^^__C4h@j6}KIP!Zd*^Mgv{_>M?ER__Npe_Nl0|oZZj18giQD(>{7S_6
z@3^xeK#t29|C)`*Y>=`??0|XfGa@LF{ij7&4nvuNzG@U37$zJ|wutEFJYI49-0&z3
zg{PK~4lAwkuwz#p>*yB_T}0w4^(qY=8|R`&^R3YF<i#Oj$Df?b`^^5Z<7g0<lr+g0
zw}c@x<T>y5IZphIh2erLX|N);Z5?#Cgip}a5z1E{OqTC5zidgvvMtU_n(Hm_>=+C2
zJ$%sen18m=nueEelJ-OzSs*ulXX}M{0sOWx$rSda;Y6mzaoq|wigtX;t{Yj5k<+(+
z@TStR`_9f=F)TJ>x64ZYRu;kEw#4xZ&uF;U=iW2@&>Xr&+G9;-VyKhZ)x4A~2dUA5
zmgtS<_^G-%@F`US(et$EkGJLUk6kP9VwQ#fUZtg<7L-I|<qqqhRq~Kncgv7=fdyjK
zowt~h#8tPs=q-E-Xyv~n<F$r`e?wE5Py3}nB<yVs>Qunz4L<R8LM)7ngo+6e(y(l}
zxbkVWB1T#58p&-;EM3xGxT;hJ{j5VN!#9+`jDECc?iiEn`$E^-vM4wkX)}JiNg0U^
z>Hb-POc<z1rY}vTB0+$+247TAC7bGfp2NiMf}T@|mc_z{S!SnlRdL4Xc4jS|iGb}M
zDSX?x@9`t{@;+-dd@+zDJ!P0!JVtLg7$b*-80XC+U(}$z^8J9YI1`)Fes@Iemq*Jn
zq4gyf)X}ubZ9a;^M2mOd0-YiSq(9Cx+_YH(d&VqosA)6tzNfmq?w%r+-kGyYq|=e8
zJ@}<^ITI<{F8>}FRl@8RAuqAdbd>Eb7OIS4!o6L1_??OhG&i5q@8<G!$=ki!rz@Bk
zn&B)AGE{|(qrZYxBm*yApP&!UFfr)a-zCtg3ciikbKDKIpl(q^x$41!(9<h1BRkZv
zWm`+lgJCVK&Gm{<yUoJ4H;0>>XzGYk&f2-)ur{6_&ZkJ|n`1UKFM-vdj-z)f)Kt}V
zAj52=@m83_DZoE2!(RhwQ>!0ImFeKQf@6sxhYgFbMTdLmH1PY#+Ql`Jx+oHT5)nAa
zhPF_~(m#20s9wFXe|D2De$KD{Da7R<o(JP{7d16;>r>0DLXIv<m1|zpj4k1DAn90i
zxh4djQLo)E)P<CEuN?J*B^FKnG#pW5;OzD0j1|eccxOB>LO)}LaJ5b1hte6a2xX^C
z+v;M$U`?f{mo>Z{&hO=a&4AZ7i3HjU9jtk^ui0P72Fnh%dn{Mg!h-I!56kRy;7nx1
zr`@(e<>IXw2`*ajU>NQ9O4G*QPi^F^k1cYFat_)1Yk|%_nICsm3z7$$UT>PPMPC3t
z|F*9ddb@}y-kS_ia$8Q{h~hv}anbf<8*W}6o4mc5%hNQf^~o*692}_3s(me>g%x|n
zFOfUx@QLn{f2hReUthI_m+Bc<>*wEbf0+h?vjprSIo!I%t^1sHT%U|m@--CUa`sl$
zn_E4B<&U@j%zUkhEH-ug%nMaGOis@=`U9)@ZWes-)WnHJZi0bMDhTg(*6sBJEaHm_
zzuo2L>ww6rvkR19DJ9eIv<7I^OkI;LOUKJ=e-AAfl*jz~H`Nn1K$&@5*4_U!pmF`l
z@ry$=&^PeZJWv7J7VAvztWpOr>BxUiLKbQ_6NBrfIM5`S7Uh4`(0L(TB_oD{9Vh-i
zDK6lErmq(#Wv2$8Q+w1(gk@k&@P>!6I1pe*Tw$ei|J(fx4b>hgRCsD=>$TdVN+iqv
zX1NNU?Y^b({h1_=X?m<|Uu%oUGwl}d+?8R}Y<Wa+fh25g2Rj7^xjLM>k$?R{C3IHD
zH_iJ>z-{nX+qR81c+qHmwYOOTM(a|dbnlC!E9L$kuUFQ1nfvf)#yNR-3qF%{QV_?L
zS)1#h*K_y8|Is0hqjJdb?8)zK5W_iBiw?$s70#Fz`*!EkAU7D%l2IZC9g)Ky-+Nmj
zFh=R!wi;RZTgLDwG>PF+aXD?M&l3J!Nm)VTRJ>gEe!_u!ez=kU*K%J=%rKVSd~Z!f
z<etNS)k?)7<a8>lYsdmRJDZmbbA4`V_(*4*p#;8W{Mqy{$O5N#;ESRr1xdF%^G}?W
z04I6a^~+Z_666A=ts7)e6qZ-FpDu}Yz0BZ}L^e7D_2^H-W#GK^ji2&eN#tyxYubo&
z>u*Y&)|$#7bMUEGW{?!LHR=t;O3gtzV?!*LkikP6yFQkxG$g+b-3#KF!|nCIVohEd
zG!-97tR0iaTC@13+#wbMh>0WHx$pOl_sFfGW*MySw7Wf#!orHyMcOyCW#F!Tw6(CB
zf@?ARo!a$TxTzHMU!t!JwoG>>{i~#6udh&d>Psd#G6_U{u?!0H9(!q%vbb)qa6gT!
z+Z#0%OxOP5_Ma2bvwuy4Q2XvHmMfWPfAKD|IfMdsN%gWgad{MJZ%&YwW}@z4;@kXB
z6ij+eCk%KfK&a=U)A1oQsB2a?<s?v%?4sfqab6McSGmnCyJ^OqbB>jyAq(ZZ|M+<Y
zl);}nd;eaR84~@Dd6>MC#htQGWvo3aaR1ft=Uj{#l(t_L4ZBQ3=c1_ktNT>ZKDwc;
zAkYjSN)PD2PL;!)i?pcG3N@U)S^w3~-wfUz=LYq5$>YEzpJ#}iI$X^pyRHP8!PD`e
zbw|7cO4d8quKKEuy+m5F{Vp>s8;~WXk0|2)>YX{ots0mt+n@F+-wa(oF*|72mC(%A
zJ$to`4ij~0BkzZ1P?Hl5yD_AUbw;N1VFxs!-KL;n&%;DMqxJC;F;%3#8MzX=iGe@u
zW`@gLnb=m!cu;y%6}buuw+VACY~Cs@++D`R0&=NK{(3cJ-x)eU5zxlHP{2--1qahm
z_c8%>-23)l{`od-JhENmk)OdrMw;>><}I$DePkcE-KztIFr}K46myLH$=b4o>u3H;
z)MUeybP*)lkZ}3BIYNR~>xhfek+U$lVb6J81at?VAwAis{lfO>y~&-&q)(t;SP!?9
z`)~Lzwm|Upug5f2X=1-|qhP@*J(Qbrsv?^$Q1t7-8Kd`_ppRDh{)*JYXM2}FF`1T_
zd@^gJ7S6!RpA{kA!Ftd+5U1(Q{f~dom2H(7Vc^_H{Xo+t-2Ui^vV6KVc2C?d=PcJk
zaHjN_VVf?pM1PliO<3dR+mJkw6Iy84dyBo!To+%fMQO>EHjs}ozHi>41xIh$3GC8=
z(T!n=U!k@zIQ)EcVpI$3t5aR2bF>k5){_68GzW<nO9#iswQ%%!^WwPuTIg$f3)3qc
zY^GZkrgv+hTdHW`W^V>Qe_ok$nhGer{nycTP761>&8mATnwTvg)~a>^UUrzYCauxJ
z?N-BATv9+#Pry#$7-0X43y<c<xO4rv<meWvj>uYSu5~t0FqnPDGlGF#gR?*8#nh0H
z5Mbea8VITr+$cVv3BOC&ShZ6HnfB|wPM!gxSndzinVPsmQLWARqKL_FmquS52SgmU
zId&w|0k<qSr&M|LKlm*#y%%`?xo$p+dyh_Ax0p2^G*mbj<!<Eq$c~~o+xR(k%my_^
zR=ZI#>$lNtjtR)8z6&!oRmVr^XEQqcW$=#iY`-NxaOi#YV=_byyN_F6+wxrsaswh(
zH;Or^WmG)>cUl$sNfo^-3nf9=^e+(C<6!5LzVM$nRB-PGld~g10>1?-9yMOGMcwSo
z&ps1n+^*O^c7P#{=BAjvjk>ll_M2|@d#H$$&vned)QaMbi;hzBc^kNnd?0ed6yW4F
zm3ifo2zCptb9a@uK|@0As!lC=aC$VOC&q=r`uL2Vn{5pxqe8p)e`(;QU*x<^5=LhF
zlN(q0tZ_DO%WARDvKY3yn9u7gjCJ~Za^rSe;gj&aWa&vNjGUMM@r)LRa!kg@E8i^9
zS2=OZTat?N1!YBPO~PpHNS*kw)e?J8GZ#*}Qs92_)nj2N5v-qB>wW2i1*%8Cj+B?k
zAY|!nCHcQ1xGc7#Zv$8VO^4*fb){sWxBKt1+CEXlrn1F1e`Moy#Yo0jfi(W*{MNhv
zN(@I!^O}Sr*y!GSN^qUEG|Kb4&ouB#;N5QL#FC#}J&&JV-||BW3pg5&G|DBggO!vU
zdB7ay)4Lr`K9T}&7cD6?KoT`(V;%KWb8J6SzhC3J6e9Z5tBiG|(0iU$(0q-B6VrqK
zomZsL*#7;8H;*)i#-l{vtYG2k&`^gIA%!``UX?GOrIE6hUA$_H2{&r0-S&@C*c0y3
zs5~NrNbd(N+qpVl`t|La1iCa>d@CdE#wm#6TNRhb&EdR)wH_m}(zxfc{qAi+SuFaf
z8_Sq7Lvo{5ga4p3%;Vzkjx%Z8{7}@8bIlB$w=CZ_td&7&^rn8-SUH?&^}ph_ovV|Q
zBL02DGHA{oyR@WP9%;)t)DgBB^do$T+!P9IYmcVC&{IU_#3If+Av09Fo)>w|qM~$i
z@V5JTC0HE_PW=Af6w<<$&KLesp~sRw6>Fe^LY8%ILz^j_#wA<Y`(;tQ+>hsTpeo+G
z>8JD7o5D=Jmbs*b2L6Q$u0OC+!^P5_&$Fvdp*O|wKiVpXr7wJ3&&#XByYu@Mi#w)h
zv%Qdf{FOXHol}c*7HD85$=P=Ji76U?T{pVStBA&b(Mfh+G?4AWvm<QM6ru_5p9@(j
zVdLNxSN@lDY-u~odso#Ai!1iMDN9ktNE7X0Lx(1;EE?0VZ8C$h6P+T}uL2L#P{Y=H
z3^<%HwiBo{!ylRd@~zIO;_vHclDym;8|FCa6e-2TPx-b$drvhOe12k4e^eWqZV_uX
z9c1EZ$W~J`33aSJzGC=hm=4xYDSZ{?a+ztj&!ks}I_#xm9F3T|=*dnV_ATb}+GmBx
z(!&}Uy%_yQ@Ut#fWSH$FmYYK*T2HpsfsUU%;?~W{dJw*qrNx>zhqzDscBNT5-erG%
z+xJ@!i`dN(IuF?x_qlWVHaGt#1hgJ+chSd8UZYWPz6Dy8M+bMfGoWUs7?mHbk9U_C
z0hAq<5V-jCsNg#W;x2~Ne-G8i0zSETVyzW^S#7LT{Z9)l*KY62hWg04IIg;ZZ4H;4
z^U8aAwUF|ccgy5GJ($=WUbS7$28D&<4Pr~QQ9dqVc~xEyKLfVCF`cr3MYzueqi}89
za-K{-Yp)BT;I3m`q%Cx!wX5omXhZ9RcI9pxu0M7j`CO35!QQ=(p`EP_vZ|5ik*GF8
zbA$5BqyWu}&&%thwGkN0EHAyoKtSD$7Q+`{Kacvd&s-Z@Q)wo9R%*ig-u^|STz!^#
zIlgkkkQPQ7v%DjoX~2i);vo?NsN;Ah@q}vOKWT}kw{Gf4wc+*B8w9Ebata3e8Ca!$
zK4q>=71QfU+rUpiB>x-b2~!4CJC|--aX}f{t7=|5eFUa>^a^TsYl13bpXt`EfU3zk
zkM=$;ckl!U^K$)qaY68hX)`$}F<xzB+ynRy$A7JVrGfqLW(4gXQ_&meapA#9uFn7L
z$!O-$K&}CM+46HT*kE(NNoy;Ra`}|Yn3_6XhwID-+?GPWU-g^krU327dbctz7aZZc
z+Hg=@68{4L0RR6Kmv=nX?;FPLz4so+I`%ooo}bIeUM+-5yHuz&6pEs(L}n@9(jc;u
zhLsWxg$9zyp4lrZzw`U|d3~Peb3ga%ey;a*1?B$tJZzFcR&C9C(ryK`jKxKJuIGnI
zO7FV!2MOHP3=?&hkjH%Sr;X<scroBwRj<)&iC=g5)Fe*HVt%LZsF?~k^frxWrLDKb
znwW*f<#B0TZfSO@tKfvBvd(HojRi!5zXsJEm%@*r3Z82P93U<q4XjkR!1DLuE>=lN
zm^sh8Dy*<Ww@A@@U8*_M=G`)w+QsqI#4unglO3EJ+$@PTGmP6kv~DaBgL$&eeZ8~n
za4V`PJ$uj$eZBn+efLChW^nyV&mDFYS13zA`eq9LTTDMgpNT;5*@Ev!CJso(Bv0>h
zGR2Ik&|SX~VX!#d*J@7Tz{*`sUZxroJpK4EKuS*-Z({DhDRAe6w>Y=psJ;od+?dK0
z&Ju#V(M*TD0T<j($i3TBY>Z*ah}2j~Aw2kx$F+&z#`N>vXV0~b(eHQZUBM$kXiN+^
zsUGHmPo%+Dr4l1p?(PWA-75&fNxyYhB`>0c6LY>98X+X&c2+i35Eq{nI`32Ghq3YX
zm%=X%v1wJS@Pn`*=At*B-0UlWl_NAO?hS^J8#t&G&LaqEu1>9V`o5wfcmF>_21xNs
zd(SE@2#3M}zd~^#n1`(Rks}SDxO5}`o24M~!dD;v;T6WLtQljwf&q%zHkX}0DM;_P
zL#TkL2+sP5sCqZ(gQ}<&oL4Uhd;PWfcx_QAUNh5TJ*to8cU?uSszT6Bw0^DZErw_L
z<RjL~`WO-PHa~J*2o8so(lXM-arfibx^qADaJBt*eVei{9EAVz-WZZV!M(*s%bR*I
z=YH3q|56x-cJI6P!&wRfomL09_UU2ocVuK96T#uLeAoM5OXJJ2?OajDdT`^H^OH0Y
z#n84}dEA?2QQ7}3XS1*#s%<_Ew+e~jy?fx<qrc_Ac)mH%ewl_pKf^q}F^D6~&RI5i
zivr3n4{p*Lp+Wyqw5%z!1Re`myLdwpzix={8t<opp*y#Km_CR0Kko{4QAoHIbSpM&
zf(FY^do>=}O5uY`q^_`r5|G5eI>e-hi#4aunw^)%E4}&bG7V)|`0?r(ll8Fn?)1Z+
zFEYT`fxuOY3K~PV+g#kL2kDdb<U(UPv<?KH&o@<tZdg)fU#=b+>lCN#AIjr#k{!9<
zRt*xaIc1K2^iXo~2RS%X0S|_gD4H&0{8ia5mc36Oo<mm*<NOt28a0vW<)V&Z-88>T
zL;4th9rH9;n}mJOx0xqF1DnR?TaJes;Ok=4ZHK=ke7JBhZM~8v6kTE_4=Na9a{{ft
z?Sm4=`@TJmpVWkSV9Cp+PD4z}m_G>1R>lIy(JR&0wXiD3&LWs+gc;v9W7EAV@LEX8
zrz&eBzB1E}F~%5%j^X}~)l~7`UMSijQX5QL*MdBbnt;ali|qJA6|9#WRND%*vDK$r
z^!Wi(O!x>)$(&b1M|a?p#9P{Mbc|2a-ERiZcQk%mQ8GqM`(GaO)dp|8iN)A{b2!W1
zaUV<~gUM3U&ZR>O%ee)2llEGmfWqdye~OH1|KgY>aV^x}4)@;gYl(|m@0RaU)G>4V
z{7|usCIs$O6ZfnLl&NeFl~}KiWuxIjnQ?XO%jB%@<OIq!QO@eFj;ZDith6{X8awU9
z9rglzruR1dr>>3=E4}$HCN*SzR*GgV2h_w<U8H--aBQwgjNGmQ$^mjt><pk}pP%^f
z1R2}5aW!}sDB+}7{GKscD>MvhuU?p--*>N!+>04SkeyS6`;D#O>O9ByV4WJyyJyNI
zStx)?tM_TLwnD7@w%N95RebEfV9ZICMQhet_a$>HxO8Y*+Lfw6YH`V~OjHUlcm@p*
zs9AxZJ5(^DNg49|KPP`1h~t8ab`UqK6|NhP^2>B7VY}`1Ip*ska7uFHFl`6U1S}}t
z8z5nF-`*xKCm}R>$<=<y0ff}TUhEuG#F;yCzs>9f;D7a1K&n3wG+?*GbVdPZP8^yK
zl;K4`o2itgG%(b@an|;?JlryVvN;o6@EurZaO*Y!Q+H2OC3!h01SG_!O|aw6d9nYj
zI0!_F67EahGRTv5qP>u0LyeSX(X9iPIANRhDer+4R0PKViB_^8G3s`3?i&lJeN4Tn
zBQ6P*Sgs4_>X{Mbeq`mNss-xgea7zmCyu`_W}_4|n9+GG+;VHQITT4;N&6hcP|+#>
zrRpaWX#N9Cwu5H4ciTW)hhG#+&00dd-AuS8_`KH2-VBb*jYr7~!Z>cU5;!Em43=D%
z{E-4vq}MB(Nv;Ut-`OG6^|8#*`TXZhp0FvHMP?ob$qGUG2<1!ynFZ$>hI-l}Oki<k
zuw&~sK~xoI*s;y9K%p&iZ^bWT{7L^WdZJPQi@q}+PTj01|8bTG^EXDpR!f4%Kmbbl
z4mlGOY`FV5v1L=c5i0wbE$x%}QS#eV_lOh++D9k-_iZqO#hZE=!*M>i)rEJ__Hcqb
zC4lo=t08nYD~2>3=fnQ4tQ@B%E<6vC7H!^ah&WQ~q?j%r?xbk;opk3x^aHV#;BEs5
zZwjp1Aj*fG4I<85Q@q$e-@r9?&;VIGS{^K@^5L9;oBW3Yeh4iLt_1wkhw8_m^hZ1S
z;JtT>@ANAH7>rzX)lApN_h(P8MmF+6yyWCtmO4SWZe3R$pr?=1-g$}{oA{w#)o>%Q
zSqMd1d=HMc>7kgTu(g6k0FT#iseCpijF1cb85w8wKvPsu={YKZ%t@N?3P}`er8ZTj
zx_Y1rrP$QY3*b{`_d1sVF=Qy)6}=y%A<N@L<l#6$3~=Y<y>Af5v#U=e-{sOkB@4z#
z=nG*j*Kj(<L=t39Qheh98qT^OCNs|pVW5S9_1G&Z>^`^C@PIK5JD9~covjx}>B`^J
zzI$ZwZ;G0KK!Aom4XzKv1@w0kd!5umpWm2c|D3MPQeh?B@?U12C<=A>)%fS+!SFuh
z+&~W%9ri_BL(jz^d-Qnr@hJtE@m)4``bNd3HvV|QesTCUn-zJ|-+LEx-2FlN_dTI8
z)8>kjNaZsX4E;yK`&6yG;dv@v*t3iJ(tXiek8#~PQDsms6{V$0(%>L%A}`k?jgV86
z<*NoNI2X|N(bAoUfyo`z{;jg0)rJ44^;N}p=dvKn3>um%7qhNU%Rxx9AbwA@8U_f5
zguz)F4hFoL_~xVlGHd))ZxI=yeXdTyyY!%Y>PA|aiXsjhrA=0TR>yaj-u2U?dblrj
z)4P_9gez(XrZOirka{!2Mem|Mew&B?shc2y%JW;w{I@3dd39#qF*Cpxk?wTeuSysx
zH~XGCp#^S5n>7t~Lj?bd{AXCLjJ+}?UcE20k=a)w%`$2THVf8Wmu{)xI7hYB=wTiF
zk{PuAug3^Rn;ltwB2<yL>BNtX<2pF>b+I#Q#2Af9(<~?4)v)DNZH6RO7xf;wnpzB|
z5Rt6x-5@|l<xGACudyy}pUHO>BAMZt)QdEuDl#e-_&=Ul(E;z;_oqb;=9oA1XFuqs
z4i$~xbq_*x;KNSj-#Ki7{RMV>hhM6L`+e!RjJw+4zS#bcG0qaxw3-wH5e-b$G$d&x
zX(9jc_S2c^1hiG^%0uXU9Wy;lJ8h^5@6Wpr=-UChe+3#o*lIv^@|<CDt~!j<M<U|N
z0A)Mh6gCA7I4QKAy4kCSM4F@GJzgv5=}%~?d{RgH4xvK|e^oHcCw(({vlaLr_?VsY
zQ^&T2uNj6c%CP3$qNo~ch0U8ic3!F@!!?>)Rf?5_hrX98MDnbV^^Hwwo`nosX~ux{
zybAdCvcKkgnH6e}PHr{TR6|1fI`iiBGIT$re5v4p6<YN(H;0<2;=_Ci>*H4vXt3X~
zXqjw<eLGoJ$@DpMj9`wrd{z|9JDOaJ_FLh_J~5_tC1uPqn79@s2_d{ilHFR*3c3<A
z(qmjonCjlOYsVZv=9}6>oaO+>%3nOeQ;JYg2z2s@;KpsGU!H3ZfGg7NG0R^S@L6wl
z;A9m$NUmIu_WRM-&x*>fT#$$6pq(7|T^1bm*KhKmbJ^<J>)!leSvb9^-|$eA3C|j{
zg~Rp|5V?7Hc5jF@niqDz?zCdSp{pV)Llu?~zZZDOFI5r;l}O=QC4UKBJ&rR&td=l6
z%qgDoSsbP}tX2!ESBadQTsz^-7DzFyTjtgmgHBuAuHBbc2)U)U*4uZ@QD8FD@vA}v
zoZe!jr)(>PY8>yWuw^rdwb~El_z6S2;pyN9-W6gX$T`=+%?z%ma`wzB3&F;Y?^<W#
z3gM!1iRJ8lQ`nK}Gzoq|n0;|dG6<pn_uu~Fqbzj39Eh&HC?x=C-G)bYrGJRmK41C$
z_L$%!zvzN|JRcejpMLf={zn|Uob%KFoiUzKLu*E5c`?@+I~TaNMu^{u-F;2Z7=?Gd
z($9`@qrC6Koug|Ect~2(lDcJtcK=gR6Ti4Htn^j-o&*yDYSusdC1ivLE?O3@DqPsj
zX1f^g$PAOnK|RG-Lj<lb(-}zQ#NiGPM!jSf6#4XAtYbFB^*PsavI-}9EaRW-oMHv>
z-hin)$^eU`@I#+QIPmMsd(Eib><H2QayOQZzAiRG?QP?L`_k=Skuw~a58&O{by*(+
zQwe^ze{taTk)+Bu8C=je*!_J@S|8SomQ9Z|IdQT@>Je!R5A<%zi!MCWLyn202J010
z?ET7=T4uxtPSWeYJnQrzetQ0CyCfGjOp}~v>HTy0V6b$gmj+EYELFYXLhv|6fvPEp
zdlr|;d(P9K68D@)&E`g!QLGEIn-D0}I!=8}8op3>MqW(gfp^!se<K%!(RgxD&Xlg(
zH||>qv6s`i7?QdxuvG*xT^vJwiBz2X>Kk9b%!mKxMi-R~#L%cvvQ*$mMN_z!jVDb2
zyWctxX{F*=61nE7#!E$ckNdfxKXiWmo(#5dkc2RMz|h|g3dn-F%p1Q8;)qy+L+FYW
zrpOE{GY=`K;AB^ROy}iu%CG&$-^yS$r}JlT0tFrCtU@<*3L{j>_LxM49O^5`ZtqS|
zur=Vc>hP)vyxl!nLi`o5a6fX_n?n?oi#?QArq`FWAT~D_qKKtemBP}&6l9mCGTn|5
zN5^st)g+UIDy^cEN>LQdxY5K~rzLPs>)P0bw@OHyEWW(!4h4rpAF~Y|lfq-24xeOp
z6%d&YFHY0zpL+O$=@q{WHm9+q9`jJe(^45Xc?BvGTpAdDypn}ZU0l)WTWavg^QaRJ
zr{egdH67U`d2Aof9_3vk!(`BQo%jqDH0uo~d!8s@*G?X#1Q!jM{x0rr4yQrg_4}=~
zQboK<TQ;X;YeIkaP|8DPJupuUJsd3~!H?~s-&(g8u4uJRy&lp-xCw(_%rkm^`Q&Tg
z$fE<@<IJjg_4??P6?P7NsSFQKPGfx;U07T07}BUQz&UA=eDXULya|o`9mPn&k-Wuj
z!%v3b8hQQHqe&GqA>X47eE;8<n(&l=MtB)}&6THK4JU-OeO{$e;B(+$#bd$*GN+!}
zju()j{NBVtppXKIe3o@ZS4?sD9GjP9ggO%3Zyv17qF~4MnwPTUX5g6kLZs_!z_a$G
zd@}v~FbFF7*jr$mQI<r+TMgLn-DEM_qYK3_Hj9dEODvXfDQq*+1Ve{i{H-D#I8J;i
zo9!ha>rl5oDO3}xGp>$SWNqwun?M<f0kU=mv?nHLB0|RWqot=Nf=TbDI=QW&^8Syq
zO`s;47CA00tWyUAX}n%N%nDww&vTi`X~MxrCa{%V4O06DV#L2%fxC30f6)yMXjQkY
zN);(%aJqhxLDU+p7d*OSr_|xC_?jo(nS_YN=nsKr)>wFcYLAwLIxg?FG;th|2jMg$
z#OY{_I)U~uvMd=b6EzPFcS&PpL^vggu*Q?|$6O;UYG|oZ{Psy(9K6N$yVn$~!8sVv
z?9`@$HIdZkc3#5Rdirxp(zF#mBq-F`XDXv@xAu-_?fj6jycnlbY6T_tzY$sMm2kf;
zf;QF1iDcW2+#`FeP%qTze1?NQ-{0CZ=2}?b{$H$Rrl1uVzJ&9JzEr@x+3eAlEV@p9
zVov=~0W@X0h2G(i2lw&k9!IvV5U2T7QlEMOu>+4XzURu|gpBU{_`manN1|N3+XR7^
z{ijBr_({QIIFaGQ@HCNP;-w>`M&OOVduzRs1Y9S(uHG6PCt@`-&Q0&Ignf&osJyWl
zoVQ=<2^$+GPFEXG#^1Dn=M>E&ce@C7i~LonyfR267j^#T>o!MVM?<xIu@D?|P8=bn
z3=n2k$L!ZBnnO+7@=>&^AZCy5aw;zwAQlrx|CZA8vb(dv6G|LE;HILqRxwC~TsmEQ
zyWA8me-yoRgn2O&C=xz*a+pxF%@QJ5P4RL2<oSjHE_jItdhGu=O87HIhot(Lpg=#r
z&vKOm(bt6%g0m-xLfwkUoN{A)5M+@_-@uL-`y#h%@1_V*^>2?h2pfZ`>P~6#5GyX+
zZHi6Jogw=EJ<z{?!U$Vh<`_>tV!@``6QqKuIYRHqc9Y%RbRQ@uab=~P83J;$dF~Ml
z#PI#ij#*BII5Tj%@Z2yHb}CM13#Bd*3z^Sfs8t%^5I^-wx;+yTO3SMFU;QSY@Lm77
zrfUG#v(ckcpBN!^?X^KE_aEZX`!zYye0?;x+0@uxU___XQO~fTe?&riz~=3$`dBMF
ze(1h0Bh2}qUpRJ(0c{}xM?3H9;r$Vb6Z)QvNdM=0|JqwdJibzHbWvLmm-#9AW=9!u
zS**2JN1GYel1y0#pU@CkXeJX-#E4;y-=x!Yf1<YD#rEnt8n{YdZGXeb1i#bD-*^nz
za6PczQJ{m0mbf^|)ALMtuw|j|NjE!gE+vhv22!E5xwvmeni*%ZiUcp+<piamCiNs2
z6<dCuD~$Za40E4@l`j*x@kYNxsOSL&CE-EC_4ipY;zj$~m%$6^59teE+$kXGuDR~Z
zW<}LmTc-4P{IJXo3HO`V#TH>}9sg1`B%<ZCpNJr|{9W=yHt8aL?b@lSVRo!ny=|cG
zD+D+4p9`tAI^egt6?x5y6C&qAr(RbIL-^5;f_ftzJZdp9BfsE+ifmZKMq^R<YqZNe
zuhxc<X42K{Jv=BoQ0KJtNeo2KxBjXP+DIgxB+>NwVDU}jV@sk0<p1d$cVE_m@Y4gX
z8sY-zY5!s}9v}q<=7b`{5-r5~Z>KoYIV~DTm}nf50VO16V^o+HE(-XUz4a1;Q3F>t
z<*FRg`3_d5ZP&tmxvzyxH|e>tA?bBaumWbDB^y)xw7}DJG}d}e1SF<=dtwR{VN-iD
zD&)8pCabjlUWAFEDc#-HeuV_nFV`d{i?l#1`rUI$TmsAqDYv)!DPwfhQ~fHBHvSS5
z@q1e&!8U6Ya<fGRpE~}q)TL-cc%=UKtNYT(wb%CL-mHcs3zI~OoenGxHqKqVA&ZtT
zx%YF1$e<nZ4(!p?#V%&6`mqvuc;!6)ClRTEuq)MC$CW8?tT6~8O)H=&Xy{9goEB_e
zad2t0Qc%M~?mZ|%!js?Q|FoZKqc7`Uj?Yah)_!SRb+l1J<IX$^#a0&*?eE`@B+{VD
zYRL2}R2lX^4hw#zb3|DEVHw9QJw&a{CfzGnfr0(=fi@;8MxMvFPq*vir<eV{)=5=V
zvD9|-BvH}H|6h6})ey{M_m|$0$mqS`$f>(ZMak`^*6{~MXf*G8zUrus<Oac|QF9tv
zYhC(w(s>tU;Ks7#rvZUppXx$a8oZ2FI!1?0anE}yvSK5hH@a;bP1R_)AvxgccHJDN
z$MvG;RJ0(0YG#YqR7Auz*Y0q$#M3Y@=Ir-ckZyVM>aPkFp~bJA!{!N0CXNjGT4+On
za0#7tqCn1J_pH(jx(+LvR%##D#^aX>Jgi4`aA5rKryWPF5V8Ht&fY+6c>B1|wN7i|
z@#l)Oy4=<%F1autP3PkIH~*Zy$?DkXyZH-4j5XetKTyASTMPE=Hy;JjRPpxw_vX<a
zYpi@+?sWO7iB6vb%_lXKQ0T`L+A3~??uD%B<{=F{<KX64)lh)@!7S<_9UF+0cI-V+
zt&T#TH6yJIDa=}O6*H>Zz|$w~;=@B^FqE-&cUg+UHG!vqhsg#-Wro{k{;Gm`c@fX{
z3t;Yq>Bq(fYq+@Yw=F-dg6<cGkEuCxprp|;sPdFGM%Ajjr6-i|rfAhUVwnLkW>e9=
zGS=u{Q#+X8LqdskzuxP@1)^7$T3z$l3is}QKfdFG0@8U_B?LAN6SoG_B#t;(A#ZPx
zc|w{Te!4iEP_6ku$W1ZkZEpvDkRtc2FO~+Ajc?T~`BiN@OXx`ZZlG1AVdKRq2`nDt
zyn3Pddu{R33cLCs0fL#Ca?n={)<e4-dkhC^$3!nta+wLREI4J@E(*icN&MrrZ6me!
zWkaeORV`sxbvd%6P7uoerVqANj@90g=^4A}ZUL3;%lhBX@FSs9`498M@mgfLzkC{D
z4w^!zn$s6<)I7IsFp3$kmEYK!>|Sn$kM7>Dw#0H^zwz6>ZxY68S^pHr?3y;k*p28b
z=hInH9=_0Wer2R~F8uP#W|}EfT|NgLS!6=;uUCS5{teX*6`gC@a>fLKwufxobLshT
zuA9<dJx~h^p2(`V#?W#(a#>R6FR}O3#oyMReYKZX+bG4d#)!P08BfaiO-!D+cfPc;
zr<SqYbH^B+YsBVDf(^$P37NIPnQiYnYr~$}?$-Ef2)j?8-(0GhBm8VF3+1Q3)`qy;
zETb43;-;^t!<D@=L{VYErY7^&+I#%|yXtccU^kKb{!HT};UmsOkqdcSTiq`#UdC;J
z>Wh<)!?uhQ4O-7W?fCYhc16%S_5B%rJRUf-N%80iu^M-8ca>*pEq}>Hi{U9f3^-C>
z@-Ph%BV+`(H-^=g**`nevri8)UaCFetNlcJn0a*7ay}7kuc4LFPs5g~N9@FgJ|f}p
zU}k|-C9z`*pUlslH1u6fR!Ls{N&Ml6PMFzLPux(~NGlwq;^XJwLA9<P!phG6lmEaw
z;yEYB->!pHIBHA1+G5j9T>mecQSe?1p{Oh$<GnzEH?Q=S?{YtgFEKCTDnEWE)RPa-
zu+#I!-`$>0%R9RW@$>I!A`5NAlXrKveHEmjIQz5N9BUUbF!eZ@Lh2;eF*0oMcBJcE
zpn^@;+IK?pTFYjS?LP>Ervf);LUgcB#C~m`Qx_3%C&F~f=O+;qm)E%do;Jq%c+8uA
zb`jUjI`gW;`-q`+PJ*64w6NF6sO7)fA4Jw?D<_8We!@$`w(Eza7OXC_GQ1w>CUU42
zy`R4g606H8&))fJB0piY_>S67;<&5j!I;ruLZ?kCmLXRIJR5k0ir0P;7i@bq^X10~
ziMiJMd+0v6x}l(#wAxD~x^_FtMNJTAzUk`pLmeKXf`cm3{e(r(bRSuKijZNQ$DRx_
zP8r<&xqZg~5jE+$u6A~sX!KS+`F&OmmlB(qSDFWjTgQ_mwNK9y^5!yIOg5^aV0EMQ
ze+Pz%{9tC=H!AZ)j-J=w6Hiq!c8@#h0(F$wxqeUor{4=i09`<$zdhOEZ8Av}+d3#y
zyEMm%FAi6eXIGYpI=3TR6O&ai9e-|nqVF%FB}$^#TxW&IWD~6jVO4?OhmX-?4O7IX
z?1KBYS$~LgTl3?6Bb4Fy<d;aa$qbRtNERSluMv-IDj59#D8W;CqmkI7S%RH-P}(fc
zh+7&D9u}Te!d~}E|GbU!MBys0UQ9U?_NV5^o#9YI)GMV5lKdi3Fg3%u?hFfbqr|_9
zWzhADJ=(KNa+weiUDk>SW`paxZ6dvzB!vGqyK>iIg_vhwyThNw0l(^Enaz!gpegre
zwU+!LvbA}_omRN8=&9e#8=#1t>vK}!y+&|YTAW(W;)S{V3GpToMNmAw>&i)tNTwO}
z>JkD7vAF*s;*A21l^yzCTFZntDt#{$+XazwEJ(>EMghuZk{6d^SkN2(us<kM7>{^X
zdb8aX;FBZ4P#wkwqBlKYDn=Bgt9(`JstSm*rAejS<v{heD`#)t6UV-l>vLQ@3YgvU
zWppbWHzJaEH{4&9#5U8d(eIcQ5Z^|mZ@I$@`}cG63UM-E-IP6ZN`Rh2cJg;eSqmUn
z$^8nir#zaiSz_u9=>8x%OqqvXAH&XA=6I?i(%L>&2%S=Z;C^2Ik`!S?-{oAV*hzwX
zR7&EtE(P>>WyiUm5=C0VqD0eOWpuFi?uj@+@0-P#%#Ap4Y`a^g`#x0_m$NA>eJUgr
zHEG{sZ<0jH+)W|-dt_`VDnGI;sf7Ol0096043}p-)o&QaIrhjp_TJ-|$FbMBt&$L_
zRML<n(x1wzL=i<uB&3wkl<blE-9knxN|co-lrqYmfA62?xvv-Z=X$>1>JIEWZXpTj
z?2!f|T@-LL;pii6RfI^1Lp|RIrNKcpTf{|46KeiUaT&f>f|LuhqxXAdfmI>8F*#Nn
zHuW@jMdqnMBGUPm_sc^$M)8;}>OkS<S{iSk8aSB?S4J)<z&-r~nX_8DFz{-R<IPA7
zaC1JU^)pWi^0)TZ7VV<JDQ*$r-5J`zQRygXazF(poQxT3{q*4UsE>MG8Wm#VGRwo|
z)F739=CsTnec=33d&e=G1~y$a>~RAWFixKo=pY+_W}d~rn?w2_-+4vqSF#3#M`e6z
zi8TPm+guefdyT+>x6y_{RSOiN1s@pZ8Gwje8YykX1Qg79l7dp!=O1DGeb&PORvm5z
z-z_zV<fD0kBu^bUx;qGu=Ig`F`nDJ1`T(a^jGwl3=zv<|3Eh)t_29$n{@^p`Eg@N;
zf^SNk3jgMhczb`>1<tNvW7Z-o;N13Y@|6}9f?H~<IDhLv{yEZsV!1UiblHCy=B9$P
zjhft}ZJJ;~>f?ER(FQIF2PKx3>Hwc&%0-6&Rj5Bu`nW;V7AVUdXS`L{?+*+6O#3Uq
z==?TX)iGNrIDG9%#TPC3t}4~N!Yu`*adN3sQMTaq!Y0UEKoedUEVm|pCWG*JIl~Jt
zTll5L4GvuD;Bob+%6T#yT-%WlsI>n6rh9K&gu7Hh(X7$a*>sBjd+mhS`3E*IbYeUt
zGgcYu>9^?}J9~+W5V0i%SsQQ(J9jBSQxUR1mgi0MED}tidf<J@8uWGMYZ<!aprK@?
z;hr7~+8(vE=KpC0ULWI2D6%p@5;P)=CAo0EVqB79X9Y6J3w#&q#No9&H%pNpFD~`^
zrZYaWgb;6$I8vT4{8C+|zSQT(DwVz|e|}52J}c?N{Z;_J{YhZu*Ac)2pX?t9M*_5;
zKC!45$peYrvSZ100_gW)pIy`+I>?h^-ZHGQf%ctB(g#j5&RXB;(;l+`p1D0gECfkV
zz|7h$E=fj>si*_b=gndG-#%TLQw#K>>u-o>9AtEI&%a_UWDZw`W_!5qOwcC}n5S3|
z3SdI8<&_w^84NTq*)?bP(&J5geg_l@;8{V6N<gqFTvE4c=(WE`JecmDwT%?Ov3RkU
z?<-AUhr&^rQNw=X=um}c#SQ_K;@<=rEGEEdYc%DbI!2r<O4Q;q6u?R`?)X7>W0+jq
zmECdpAJOE>Awp9Xz`Hr0zWk^*g6vg=<*ML$!mmTuQB*?!w>Y&KGRhl)#^+qq$NVdV
z!%>|tUu*=hO)ti|^r|6TU08GA&tpI%@8vyfCj~I#w^iINRzo;<KwMoWgM?<g!@BNP
z3n0C*iXkM*04i@wOYZk)My7j9qF2PoSYVx8O=dHIEphv#W7JsjQen%qYcd&s?1|js
zk*p7CWk&w_9c(xq`7+U8UJ%d7<u16$>jSZ7%4!nCf#+gF&KbWI#4RDoeoWPRaA3RH
ze_H%p_>ER~iRYRSj+>ZuU*Dw%v!moslLg$!$ou6aJy00Q`X$flt2Efg^ze0<GY^hr
zHtmq|6TufVqMtWErh#v_&!pQ5FBY?sGiD=1Q6j9Xg7*Lo7D{U$?(OBnJEaL91)hoF
zsWWfg7^G;>;9Y2GT*r?xt(5;BFNtHvPWKJjgSv1tQ2QlgnE+m32<Q6dDTz$|ijmPp
zy5Qij{gXop8C|Q3eG7g_Vg9GojQw%z=f4o{v4kKdxQZ3FN6FyCS8J<Te_hy?#QtTf
zTL{-=KW{&9TNY2Zb39k_&;^B_G;$WJ2;R2xKL09K4zDREZyVgD3wuvC@7rfBie($j
zueyZG<CxYrRRd35NFmxzw<U|AV##2@Qn&&-DRAGlIIRn<Ker5+{}sp0mXdEbUQ)!1
zqh`FSIl3Ts!07M|FG-Xd<G*Q<sf15bW@J@*bm92b0z1!9DSUrqH?K#LGJfLw75JYr
z4en<B9n3u|gLk|dH9}fcFymSFOXZ6+;9Yz6Vl+t>Tb7n<9(_~AS<`0y?ejEvEX>IF
z`G_3S%0s1H{;FZW&BtqRBK2S~MaetYMjjJw1y>ekDd;8LGEbJ#hZi^IJ|9t3z}(|-
zJMgDE$_YoU*niXqvpFi$8)ij(x?8%g^OXkLhx}Y+zGVOx4KK(t4k_aNE;r8lGn)8W
zxv5m+j3MyNUrTI$u7sWqZqrHJT3D`?Gy2`n2pR+{d_&`vF*BdEoa?WJ&zGX80mqDC
zX0zb{o0AH@K2aPtc|!}`y$(AngqZ;UCXvmwH5IIvAe;_e)Ize1-MDvxDTMMThGu1|
zBJiCiouO)B^7l{HZ||8wj28LuqJ$cXkyWuFLlgb^?<|;?o5P?m3)|KRH9W}Oa@F~z
z2J$`huQPgS0S_Kmw8_@0p+?yG1LJqqk#m_QuU<xngwHX*iu={jh)=rF&Yps`a{IN9
z+5_yX)4XrcsfLlA(#MJjRZJ*3^X~m)00$FN>14hde%vXPRKl%-9KV<3E-wRI*hC9=
zbXlMK`G@R(=1N$!<zdOHi6sQ&`Z5o8s^Z?Y$?Es}6j0Y-y57y(5-!y7SMD-VMTys)
zAr;|rNS0!Rv*#>fV)&}9Lxc)0_FS*>caXv8uQqyY(UveEwBw}UBW2XhNm_c>Ac3~}
zM2&i=CEUCt<{L*SVUv)5&qSyw_US2fUfpX6-ux4GE%l11wNW6o?}QMx2->=;(JaBq
z&gInHO9i}qXy}<ujQ}RQW;AoJ0(`D2Tx2Ve$Ef{-k1KZbAu2tv*g*i?^1C;kktc_z
z&nYYVq;sR^P{<@x7y$cPmQ_clEJ`$=3%H@cfg4N><i|Ate9GGn=V{2`C;Q`mr4Fq4
zE;z#RP!%0Q1$8uy4Ww}7m#UNxJ2PJK*h)D-rh{yTqobXh1Wrvg3dC$Cp?=BZ9n!uQ
zppxf*Gb2R|6VJ@l@RJx(mZ=~mj4+1=-?FCPe?(AKua3;E$bcIns~mm_nga-5)fVv)
z#(~qHC?Ym%#QQde=@dURu;P9-slX(JmnB<wZvMJTd_G!O>soILyRdBO6tVt)1Q|7L
zXIdjhQb<|vWK1EAs$@2lC4f`M+n!`+tr4#R(k_OdGlAHw17*FL{CGdld70|SfQM4F
zZ7T<i;oz`rOGG6fUf=Najq@A>=2};oz1(OFx~ln^-amOU(6mHq<uxPr)&?cMcxD9N
zS_)@_vv@E`E~t*EAYs14&xX&^M!+}f9i1Ax0qw$M`ORN5p{cdGwR*B4g!TC<%Rb=7
zL;Tiskx6F!5$N)umCX=Vo{ZVWEpcHPqo;K{jTQZhm@j<1U;wY%W%G|ja3N_ZS-s>c
z8$ui7K{t{CEXI`#ouhK0nFnLqGgb~f=I5AjB1RwH5Brin@^ay{`I{J*G)~+Svm9d0
zs}H|d`YIoZa^V~ON4IVPH)ifT#WtR$2Qh!t&92*Xq2ozB%fZHjUz4tPWNGWc@#lYs
zkL7aViJWiT-ebII-(l%{p^*mSCJ)7TDRJY2D&HHUb9^`?mz&z{MS~Eb4>?V(+-Spd
z;DIZb0B#m_X&Gaq!Ju<`Ygpz6tfzSAno!Buk{MFYzTWdiV!qD)i9C2)$Y5aFR}kYp
zaz~R7=z?cExA4dVUVN?TT0B@KgtyCT9?uEuf^mf65G{xgYvV7U@sbh2+P*+iO$Qa)
zvythe8b3yT6qRku62%(@GIggisnE7rP`K_dKhA8*IpjqX$AO@|jc<LZ&>R}ic&SYQ
z#b!I>jlWAElh>p~Jgjr?Mty2g9T|O(-ny&xObS`nM#=H=RM<S^FxTEHh=Jr6cRt*Z
z!EE0^!6sfRIQ|^93H>dE*%A3CbKlD17LODCyE&-v>f5NNoWlA(Us6;M?2|()6&KcE
zJ}T76m%3^Mieiwxg!H2Yc?@~Fhx(r~6?!ffUu^Ca!+TG*3;W0`qFgvbYOw<q0#8lF
zj<`x7xAfD1*E^K(s@Js*b<tE9&`Z56IVy>(|4tU9Co5w>;C)$Y8x>9zt)^YMCXHL<
zFk<q93ZAdBn@rTvg;RT~4iBr!;v<e02S#Bv+|}cKaQ}T>5N2*>ALN(A_la3gSa(uz
z%%wMZO`isR<-%JUNb(p;V@{wZs3Tv6J%3yu4FWj>2XfbQ|1~LodZ$zax0<|pQF2=k
zhB929@J=gWtdFR+Z@ng_2bhlJgy}=hxcoDw2}RVuebc9=L<`$2<W9WuH-LS*yDpCo
zE1|-Qhpl9oHae%9i>HPe!apZL=4)Nbn18&x-;+fLn`93q#bg>mfTfnZV~q-)HvB4?
zuC0Ttf1j0pYBh#m$0`Gsl2lRQ(|FGp1058JT0V4^%M@G+xx$Pc)lg2r?pltB4t82!
zF`_%00c-m)_4IKy9D7~FZJe!*e`P9SJ5$WT+@K`$>v0My^Cnx*JlDbtTT{bL-dTV%
z_@}xzQ&7|DwRv!?CSHDP;Ke&f2dj=0DrJ#^ju$-Z64*3QkMfmUC<<V8X=85mDh1Cu
zj-6_>rC`c0k09PffQxBY8WuVz7<urk{BI{!eA?w3<>g@sf0bXhUJIw-i-7JK4P9kC
zv)P{1yUyXZK0LF%3u<`M+(wC)K@p88a~vk$EP;5p!KKqd4J94^?KW$cL$yE1W5-|x
zK}XKC5~o#>cBU+jFp)u)6#Lip>{f8~#1+o&ODf22_)`3cpaeFsvi4alTSB_@f5U>|
z%1Bh_iapgA!QE}_0pEHpp|<~iNVSI&wpb<)PCO-JW8{+vlLAYSUpdh#MODNhdUR}R
z93Kh^ZR2MOu!OYH`T^G!dHm2Yn!|K+y+2Yj#>Q1Fp<qFhW2sRNNr&30EfcJ`=Y!Sp
z*e-xa-skfL(qwU9|KQ18+)TLTMSY&Yd4Se6md_1c(#RpF?XJ|cMr^K0>bj^5klOK$
zVK_q)-Ks;bX1rY_BH2$XGNsT#pmWPxp-^#@{~CXzpLvdG)3v?&u+suIs$7Xa8!U=L
z(f5?E+f5VSBRCe=#Vz2gZQ#bm8^Ty7!+Tld)L&vY^kd!QedZu*YFF&szur64ikVG^
zr-;(6nsLQ>>wA)MHOa}Ij8B-d@84aXBqF}*+x(m`1)lPkN0xf{F`^>bK1O<qFjv^-
z-ED3P^o?)E@ERX_^{JjDl}r(jbv$jqCawF$$(pNjJv<o9|BCpW_m|ks@i9en*cj|L
zY}(G<$&F>?G*j2%e}ww@e-eXW3@OfY+gZq5IOqH!X4QL!a0xYM;kaW2O`FahNJ!+s
z+?}!4cT3F?Z?Y5wbD505zkD+fmn}PvGCh8Io^gRtSh#Oo=w}GwqNn7?blLEv)fJC{
z4NJraBKW()X9M`=q0e2tofRK2#vbmoSRpt=*4&ru3}EGMS)k#47K~OnF_?aBjVNl}
zeq86JJ~;B2m3gVKpuweZ?VZewD8SWu9}V>(y|lnN=>s!{`?Q-ZI+M`SniUGl^k7e_
z%X_zcW{gp7qEMePVNPIM?~<V&NCtBYm)~JVWv<0tz6vb3#rcqJ#Y-Bf3SLiMBAC&Y
z{qWN>Pgt=wJXd6LGYw8ImNtJRvEYkt_Z_K@?D(6%Jn_XBU5FZ|)mr<oV1Ez!Bb9>_
z!vp#cTO8MgUi&X6A55^|Ny-RGWRMFNOGw``*mPmxCwpOOIxAM5`{`xVvjJJQ$C4QH
zsi0n5<A3}R8}{g?s!YxC;*X3gGliR}P*s%wR^6E$2Y*&7yprO_U|MhS#9tlon<~DO
zw4Vc|Cv;<9Zx_I(i^jtuIXdt#(mVd*HBRI>aYLXlhm3{opGA}1bfE5$QiAy}E<EV6
zsx-nOgdX}vid|$KU~bE<R`%I|%p2czG{p;JiHt<=+*56EUG47~-N1{}gJ`^;B8pkh
zCqHiAs10%FB&?qv=R<Q=*_S6r#L&K#ztD9;3z*9UZon~q<iFA#{<vNOOO71e{_3$7
z{JX-usdC+Wy(=a@2G&Vo!p^$6(r_(ct3B$ZQb0!eS3+yO-(~P&NK5gRBU)fG=AM@M
zR}j-gul6+v%3;=!3Vp>-3*xvZ$s4u_<IU#M?Jw-)aqq<n5`Ur=gwS{8xV4HPMH1+v
z2@1IJEQb@NT?^dbMXyMDis7xqB?;$spQwx8>%?HJ4F+~DwnbzK+|zwF!+Dc3UTx25
zxZbP{zl|MYmj@)#eW_;oc*T0JAN_MJ#aaid!V}lrnx!$k*Nb0EM-88Pv)*BSt^<=&
zvl~hd%VMSo<JiCx3jWeaDz|f_!mj6U$4{J)!$X1H29YWnxWZz<y=$2Y^HsN^EicPs
z{ew-#vFVzaARnJF)T|5Frl9-7eFY?jJ&z8}YGLZZeLF-dXi#SQI#vFSA|`bAQkNuj
zu-q+%Wq-XM{JLw@eQ-hveH`b04&K+nP@lh{vQzpXy;8C953dS(zr45nP?U;2uGc=E
zG&KYaIIpo)MHR1nH}1|jLd8zAmgRwLBbYdDnz~I}4W|b<4K)&}*jDr}O;gMS<{VgN
zC~_2J=6H4_F@}nkZ%2#l?wCT+)}yi|GZfr&n_tt=fr@+X?|yJl!yM%PG|=nv)X`6H
zbopGb4nE(0q(HC40vf)?OJ!0tkfpc(ouZ)*UevbuuSpP~y{@Ol<(vl2unBH)e4&NM
z9`Q7@zXG_emOS8^rGb;jqnQeyY2X*b=744Qb&vSwW<;FVz}uD2P3(73uw#)mg{|Kb
z&hLw2EYj3KX8RWw5=|=DT4VmZ*v1MRw`^QJyzX5W^^>C>2`i!VhtJj%305#(FQ}n4
zK*6}jv1YpN^0-s4(p{&@3jV!+vOt?qLo;pLU-51-_=w~gvA59*3_X0hq(7-*SWKTt
zq@g&Da>+=hRa?PYD!t=Yh6=`i7X7;=NC;)av~|X=TR~r<wA@b{WwhlCdQMg0#|96-
z0}Fetz?|p5OuMh^p3C~PfLg|ha8#!^m23riMrGlT0u-=!JTyFCjTuM&I<}mBVF^sh
z$+j*G@;IL}C12;VLIg_HSSjqYglnw3_uovF#W2~en%lQb6Xn^tc5(9n4<6huYdkEC
zSIoA0UDo<VTo8U!M@s^zc|$)x^-=->_sZ|*?<cC1OHa!x0(2%l9kDSLL%zb%#G2nN
zMES&lw&FlKm@y3c9RDhe53+qbeIsrXa)&ReuVz_5MPPQov8RGKd_Sxv>U{-$#7=9v
z{Eay{ulUKleJFtMk2^o)O{k|IwoRxQSv7;f+OuE&wDVzL_7*M0mPY!lrn{@Ip&8iL
zz99uV@SyBu1pCVuuj%yM_PMcBrtru$E4*Tz^XH56OG4dW(V6|v&(kVRU>F^rFJ!Xg
zwF`ao>b>Q3fsJ`LSr|>gZRO#C1|wGF-ZsSis4JCz%Wv0d+pWf6`IUD{SB4pl3K*VU
zI`Wj5#3{`;IqSX?M+uW%_dO?{of3)7uZYu6R=IqZ3_-1V|JDOV3>eIqSYw+1j_8?8
z%Ng5c2m(pbmDPExM5k?I-jg$*h_2(D3Chn6AmPG|Psd!AiMwIvDdaajM3c=<$=`AY
zaOnNg$i2ObM3ab$;$!h|L_K>fjhvtlk7g3jcD<Y@p4UDvwA=HYxPExco#16XxTo}s
z%QRq)P@Gpg^5@<N5nE-WIP;$#@Vt3_rt#=3p~q=5r@ruucqAjfJ#d5uhWC!#v&fqv
z9D}~fSa^&RQ7iF>+dXNZ*_Y};k(wbGQfwRDe@zl`-!)cNzv;qt=JtTkt<!{N(az4?
z;=e@1**&ZyUb-NDEXIBNvuVO<*hTnF+%$2^i8(85j0)Q+_Wk?orwLIuQ^nZeS%T%c
zCF`RgDj3eZobqLzA<QZUe8<D)iGlAM-ydh9!tnOo!uV4&gr3%D?Xiq?{t3G`Rhy~<
z&f{0pf;Y?(y@A@_YriZLok#D<-Br_p6HF_oLfU2twLA$S608xI3|5awMr*_Mr4Fj!
zi#cNEm{eiwC<Fdk-nLn$Mhkc|SFTrg%oAOytNyC?B=i<<y5PB_31gOel$|1r1b>2D
zE2WVM1)LHWIIJ{*<8+Z$Nz4+_pB85<dx!=7YIVPEx~c)zm-+IV6<3ID(_@>H<k(P_
z-9%>pusQ@C-?@uCy-NJEkRCBx_tS4Z4R-l9>ag0~Fwk&@0jqzJm34%;FjaF8d;DVx
z(Dv{<?8;!oqw0pPW!pC3@4QaCGzkh++a?^Y?I7Vy;FiMub-b7$mnsx^T@6BcqU)`7
znDN#_u5@Mte%uqZxcirw8VHI@1$aGWK`l<Ml92}jX!6W8YvrLT{I-uP_~pWeGdDle
zSj`1-%O{Wa?v1Jt`XghwUy1{J4=JfC%?RPiJkp_wDHT|=d!l%0J)ig4h!-LqB52dX
z6+Zby1q5t6gN~SOz!iIqYtMSc&`{7RcQ{N1E^_;M>ZI}Fj?S$OPxvLVlksS@iMtAX
zKNMTIkIaubQ);VeLDH!3<3iOdR~6W>S2%DjQ~+07M-`ke%3|}gO4$$IDnJ<+shV0L
zqZ`>l!QiJH?y$7}Zkw(GWziY#61hTHZ8ks}@m9buE#7O%zg58ekxrb6zX;|^{Q%=t
zMU2cl@6zI<3QCK71x<Uz(EpOXis@5j<dm(C$P-Y5Az{|q4u1)hU>C9edrB3vg4()*
zCe`50zl}dX=1ZZp+uH!%trT2*&_f|}sDs)L<Jc0CEG{K{oJu#;z|?b@4uyv_pjBG;
z0;kP-K8?#q5>>P?@(L%Bz@`O?#pi!4Uzf*1Wg*T+P94ngyBw3Yqz!(4>Gup~6|j1$
zyQ*$c2RrKHj`XklbxQpn1J{E}Xe3pAVq-5A?PW}li3jPzl#_d2(FbLmtvkKopRbFq
zo!R#0Gc=g19kFw<QN`KwydsiYY1sYO)=)f0A6yyR%ZaCI*r3#zu;&d8Z<+JXu!I_d
z#&qm&ISzHa)3gvk;?u)?Pw!i<0mk4XF{yfJvj$$!`>6UrKo9GqGRxN@O(CQ?nDd&K
zCQd{qt`aRY)QjkKe3E4jp>(I4|83R6m!<Ziy}C4XdcIqZr-Tll%lhA_uW6xaqEAWt
zW?hVbIGZ{C86eUt`XKmfV`W6QWh|MB>HX(_$ktiH#d8ZkoG)vm>aI&$_UmdR{m#1)
z`y?wE>-ohn;kJH0(&|)3yE-1^Z#5S;u!dr>&*Ji*v{3$&wcYeOUo_1N4o4PSL*M!8
zo^&QH%=TY8zIU%8dYt{!s7bPcO>I0QVLvsHe*+^%U6;k_yNiEwlx$#n`Jq`)k~;3!
z;AA`bTMV6x*jj(e*no#@TizTa1?P5*aXRahk#_$3^`#kWICJQZqP2r6?%i>=!qlA;
z^Vry~k)E#S>H3-)c}5wlwZkS!#cPDu#huKVPS&tFnw&X(QxUc5g>xL=jS;m&E$-_5
zR`BBOvAd0x^60!-bW>mYeY$tvrc+^_R<Qie{{F2VSuCwgl+6A%N{`=Dm*O#C3FdK*
zNv}kuao%WSGdXI89)Bu%zHpsS3L@)|p3D))j123q9*)a&>ouEd=XI}i<SiDr^bo-u
z4LL4_GzKWHop@!l1K^lj(5UEEL1f+iR^Xf&364h(WmXo@fj6k+p5qyQ?0%EJyV!~e
z+DlaI%Bw7(wbm4bUT;975k~>Gw@hHSb^lq@_vR41zxj477YAmQ^1HlPWP&K$9T9=!
zW{~YQres{ljJNGo&L|Hv!OstWWEDlsU_-%DbJPd}h89fmuH`a8-Ybvn5xaFybZWiQ
zJ-A4$R$H?Dv10;x!H6MRlnDgmK($@*G_j~XpT;#nf=DNlSV)60B>lQ>ow9qJh;Aah
zgM&zLNWdXij@KCK)B1bKQQrv%%Tk$EeiCTBzG7Ce-w1@gL)s!Ex`^zl2J77CjBxly
zL-w6=L$C{F7#2BA5PabQ4YMJP!1=D7DVb~t&W)2_H~Ci5O`bnI5M<8?U(Ozsk`Fe3
zN4%rOV)-BF1sv3?UHXjRblzweOTRwE{pbBOYq5{sYSMaG+>8-6KDqID-d-P~_jS+@
zDt)K#DW54R+s6pE>^8eJ)aZf9yh87j!BILrIdH!5HY4mQJQZ(2(*uJY49sZ%hwgo9
z!P8`g5qwqoQs5~K>~XxKqH>a+_S#dg|1=4r8?$Q)HECdzcfjsk>0f$}a&S_#C=<+<
zZ2b~aqzgNq<uys)ou+F#pMA#P#ROC0!kzKPx{!5FO3yoHmL5u;+k2&g8Q8kK(|<Hj
zVJ;}MHp6e8e#WKVgz}sPW*ZNQ#O$Pkn3s8bg4-f}?=z`eyN6i8yt(aJ(3lQzk2)LI
zI4{$a_SqUVQ`sRcfup)US_d|5w|%kOW0h_g{%pnn0S5^0zvOg9UI%iLP8pS1G5~w;
zku$NIxu8--;AQ`1Z7{WE^Yis$g#Q5m0RR6Kn0GYS?;FN#A~Tz0kB^V>vG@BjLlVj;
z6e*)3UqvcAN?Ix*k`$Q@QDpRaOVSc86dJO3WS4$^|K8_0&$-Y2+~>Mp*E71+`1DN?
zZWLu#a2a%}<8EYi<KwGLa1v37%o5^7N_o9QmZmx``X=7E)W?kbewH+cTYMNfBmX4x
zvKo$3|0IoXWCeBIb$N~sekgVal?^efL9b9x=KXUvjB)Z;_9(4`@JQ+h|0pV=y`M69
z?cqRaYrwJQ3_(1J9=@`kg^GhIwJr5>oOr0fEYYDXjHK5mgdMU}@i}ZL#)4xlj<iYI
zsrHEA$LT4P5U8TzScHp%5D(1LH;(>zB!(&muWaiD3Qk;(aaC60L*}yLM%HQxaHV%k
z{A{G)Mfx4lKu>-!Np}y1^{z*=35Ric0R^xB{3oVREPz3!AkQ8NX%r}b4~)4%L1sZ3
ztB`;oK9#3f9rKdG<fE|RlT{S3GbLYX&k({-50?$r6|#6SXRjYULBSrm7|!p;A`rK3
z+qkqr9u0bY5f|)Kp+B|DIPjk+s9D;fm3a!VUn4pd(4vZiFL;gYeu`u6Z_3$PJtYLs
zC=V#aQXzGkudr)S5;pCTJ)63f5q89bx@nIZtk{nHeYti6>N@F`Zs#eOk5@L$N>GR3
zIpRfdku<mxpWQOqNX2G3-`a2AG_a|TySuAX2FE8a?Z5C(4fcu!Z0|@-q*xyec_$=?
zqZ|!RAMa=YMv~&&AJHIi{K?*HUh<I399_`7wR*0!)Nk{9Ed*Z*`I}a(fSE1v-|l(S
z(8aF#E<#8LCAanYnHCfwP-kWlvqFPAaV63?Ru{hpqKY^ylyS3a(tAEi3-<M~$F;ci
zab%6&$vbf>xI6mRTB%J7o3o$0(`yV6<IVMFvXp{Pf1`y0C$-RiCPK40&ImktGZ8Gc
zs<=^KmO}ZU1sS|Jm+oo;eZAt_5AvzlAz?87Ia~{OJ_qUZsF~r=zb(hwcd4N_?MU8}
zk2I8-?)a*-NT6okw*JpgHP~{UzEVA<iSr^GdG>z-B-uje*HYB+X#Z}$Ejb!+wK>3%
zdDR?e4JD<=sOrez4!&4FLB%!-=cuoR1xn{0wlIvS;b2pF4P`<FO*^;82EVevrq<br
z6TWK5=n#vquU3RJwPe~@-4Y7xi$l()ul9MtFRn0H4yo^dy$v~FiHZ>>neOwd;5gX#
z*j`l{$sbBLKTop6VbXVHuL}i5C&t-#h>7Ec+h&EYQI=?Y@r}4Yq72Wxw~AU@1o160
zT(ZX160?qh6B~9bVL)fyXrww1W=(T=jfE`n?~2kX+eQWOFwKlsu(QI6FWK!1X@Nhf
zU!+|`<&l?tieKm865(-p<4~8E1)PeK858!&;)nJgBi7y#!h4WQv2?;5_794Qkp^kh
zDWvjz_irY6uVjCkJ!+1Wb&21i?WMqzQ^@qd=M&vW<?_WTMsp-~R%EAZOJG2DarTGJ
zAl=o~Hd*jAke)$QuGokoI+FUL-*k%Zf9P!#jUN#Ia8_F~MF{CT)uJU1&d@_mw%*{?
zC%_<C!J^8r4zD=Iw@w_Lr3>3nvcGaRgZ!A{WLgOyc6Y8z%gCCePlZ;mL?1E*Pt7s$
z%L3d`;Bbh4%{osnzd<ZyTr+{&yPst;dTVgYDN8$TXpX)!jXXqcF~&XGuzE=?D^BH%
zsTBs!(feauUkbAtgVMdy*p$PBK2zgGrh-{|!hsZJJ}V>8*2UaDR`!orcp2k$|Iu%H
zl|c*>dD;*Z>2cPlbxQ>2wcA<e%V+2>e;n3r{$v23O_Z?gopXfIHZysNf@!)q$19^|
zB?D}}?3-boI87)UC*M}h`9-(6acaMRtUiRbBMOQzL8zVC{O-!lDSF3^WMh|ZJ@kov
zs{OcWi10T}kUM!~l1_`a5`~!_>f9f<lKel3U3x-UK3~S^O0CWN$MbcOY3??Bc)puB
zndjj5@X#22;^mzU8~AiFd6;iw^6*C@H8>|lZ{sLEUP=AijaVHRlo;I%x&4~>smQ7{
z;5I@}S}ZfSn$d>Gywaw0>nFsUSNFRv-x{VXiY3i|+oz4&_kHDiWNr}VW6frkYQuD8
zwPyA$16qh`Nx85kxsZORvb88?W{AF=ZJ`*tR|_TvuIjFN_4N10X0KnJ9isak4V70I
zqG6hAeb2<N=X86KU6uV>!}JjmhG>@%8n|n%zO)~FOYgP|59}@(rf*O&Uidn%iM>~o
z4aBS8)7$@L>B4)2emMAze?_7uY}b9x$l+|Kvo`;Gq-Q@$ci-+FS|g~57T>#?jKpU;
ztE$6E@31j?SpokbxkUpsn$L8cUpJl3LTGojkJI<Q4;WR9Qb(hz;|Z&zZ*<GIbFslk
zC+Tdga^@%Rsv&vl*z-*uKj`-k%1;>Goucb+yqwiAKt&j%-q8ySz4U(~+anVie$lD1
zOonuMDiVZ7F0dB&(T#3YPlqi`(>?v8^n(IbA*2$}BX@9sUawuXxXtx9UDaQF`c63o
zw)^r<ZgU!<OX`n%eEBj<w|5#l8^=I_4O2ohm&*v<)^WUE{_H&cVCls5&)Zb+gKGGv
z`{)?`qYbBc%Yj9DL)`*f^<8CL?|&kHp=E;p=WE*Q(YR&$K!nb;439Dde|w(EES{np
zEO}g$Y57a%r)I2IJfwt89VX4`9Mkl3f6u*kQe_}Hb};Si=}|=BdYJ-^Q#167Tk1aK
zTx29$s)^_Wj*2J|u__i&nWcwU6;4-3GLt81Ownvj3OMT--e^2MM?V*EkD}7XLPj|z
zZkse$fc*3R+P?z}^sKV%Ju~;%NI_;t^VlYNoS6MUU%Pgh-pjaGBZTB2J3q_3P;`=q
zPDtEhvj1PYXk_!uE;cT*;X7mUp<X$ZYPN8#`SXwdE}TVt<s>(GobM!?aI_qfi?l^u
zf*8r0dAwEga(pEFb%~op(sJM~y!I-3fr<3;aU3Wp<R{C=A9u~al?C%YQyrOmEM$TA
zzW&$F>&Oe_Hnp?KvbY_-<)_R=Hu5`Duw##c5Sef_;g;?eSv=W?ss}eY$Oz|Ozr&S8
z$mzU*;Lq~181j4F?J~qk_Fdj#wP}YK`D{mjN&}ZHHf~`Hdg;$i20GZR7k(;1G6#Jq
zzRM<y4(9-=^Zb0Iw|Z4&*lsEE(Qm5Qn5Zm%Z;~;@MSe2;O?KJ#Txs%pTkWB}HnOna
zr@K~0cO5zIHAQ(xl_j75nbE7iEDN({KmE3Ug5()ls(Hp2Ir20?bnIr6gZWp_%$6Bp
zQu0|<(@K#7=`FiFSCB7<ouTv)w{>EqoA%w1gBeQXXTJ?njp6dJxyOHB&qsoMo5$kG
zov%WMcP?D-i&sEJ`v=LhUF*pQ_R&F`U#pUa%T;=O?-ju>^DVH>LYicy6^b5VS0@wI
zhfdEQR7Q}|)gIrwGGzI-Cb6~3n&e`%fqL#<3Y_{Z_h@U#k*+LUd^HX<GQp{e`nHY=
z-W$4iPCk_<tGRzVFznMJ9qer<^kX!TvwXF|YL6nBX1{riHA0)z@4dpV>On)gREOzp
z9%ZuC=|k1$JvyYfq3ZqxiZ+ft7+PL>tU@Y&Eb+XntV`b7-XW;1r;97B!;>jqs^qrb
z8tQ)!bjhFLQ+vh^>%)H5LOpMUN)m=%t*z6#WX0Yj%F7-@xFr-WzIRh6tC(^$%DZ$)
z=}kBN;&+>1Hv6~x#Y-CGu>zV8=Wbnc!7)H*e9{aqe(%(iHfoaRyVA`*#Ojc8r&jjw
zuL3S}iccuzYLaHTCv<CdwMkJH5Asv5IarIoce}jOB)i-rjHzd7WNT2qNaVN$QrQyL
z_dU}jS=yrCg(+%~+wFF|<9%a^MO(q7g|nI@wMk+$>nVktDYdvwi?G5kewJ<8a+;*$
z5kB5H8Aa0R%;ilsgI3VX7d{dpq(Po?^O?DHRE8{4G>sgWvc{S_`6oIrs*w!U&yNo+
zijhfD>hB&(TVr78Sbp|PRr0{2<I<MJ{N!;llS=CuD_r>`<MQ^63fY<FT9gsNLJmhb
z-lpYRA$j26Td6W7QdTWX%l*^@J<cMv;klX>Yy~MP`9~B;gPyK-uli0RPi$i!Q;{V!
zb-RkDP31_Dg`@QEXXgpm!B}*ya!7?o!MRv28S>so;fVWbOz^+IGSv}nfs3N5fsa3~
zC%>{L1`XD-<Hv!9{R@5OSig30cGoj8l9$n=Tq%kR|Lr?*<F%tXIQu(CA5967Wr}!N
zvC8{Q8mbiq^}yRWk+}pP0dgnnK;xTdy!h`NgXs?~VDUV=r@J~2`SxaNTInu6Xb6-B
z5IYI1TzQ`NjKV=y<5lp)RX*J7Jv+j@*9@6QzFJ3DFp*ms!m{e}`JfXxD_VBc6k(rQ
zY?YIi=`nhfyeg@y+)**{{ZO_EIK92kcH~aegWWdrsRi*NGRveh@TD<IYJR1B-`G#*
zoIc(!Y{UnN!=AHen2gcZi{dl=uj#YKxA!b?@?lhLXllUP2yLEh`mCPK1V8Pfu*7Qr
znM_~rWL`3a;W_oi%UgdCYAIQpG?IB?bJZ)PYtR7wLPRm8aFl4i#PHoch!^I&l$O}6
z4Uifw+PxGtO=R|;;T=1`i};L|O{vAJT=CFjlj7q!Vrk%g<kxgwNOoNAWf#)Nft3DY
zp{yms=v3A^(GgxK3H?1La!L<dm}a_DG*<|+E=<^0hYup$0j073bWwdrGKcj!14M_?
zW{|=My_h}aLNU5{R?(At*qaHHT@%$?=lRfRz>wX*qzf!r7gPF~A(>RaUnPnk{_mH+
zN1f9_6VaAn=*Nmhi?+FqVglH0sB_d=N(WwceBlN?Y*7BO=&ai+fI~I>KHDE^<0hM2
zk&_1pWaRu@Vy>^lm%eS6pSWn_V;IHV?(-V--03@3b4n1lWx5fyb6TsS{lxL|9xk{T
zC^4TqBLuPJGgq?nv@lnjX|Z)>Ev^eVtKBLQ##@KFhPtg<X#3=Od0z<+V!Flq?)8fx
zZcAHODz_G1*kth&dVG*<kc`=5Dh9)x2Z1@QtNBQ4eE(lLen^xW2KYY^$42cp;qh5C
zH05NKb4d$e=g=QFb8AWDme_mEtn$p=6odbURoB6toh9FOZarMxXL6oxrr~pL_~^W?
zAgTvTw4XL@fSpN)z)yV|x@`{}36B)QF&##F{%2`qp5|S<L!E{!>a7zIwZbU=E_Ye<
zn+#0vMOC_J(ID~eQ(u>WC>X3B{X91<i&SmGew{T9v2M-sHnCzz+I4E*gn&GfDw^*9
z383MmLDgASMhP5olMTIPrT~^h)=!eI(XjVPe;r$<Bus~Ea*iERgjayl8SOqA7#B@n
z)mlnnd)EAs(|47S=j1(e4q8YM4&shyl!idCs~rEBGAg};LU}8+@YnJEYo-xtT$>3W
z+@nOnE*Z%LUQ=x_uRK=Z|006`!6QG~cc`MZql>@rn>H@`oe}=oDvLYI8NT;cbFWUd
zWbyfI9k3;uy`{XA!`y4Gy*lUBu<LOm`+TS_hR?5A=4_NlnyQUKbF@0XeGD)0-lYdV
zgO5i1H3~>v^wE{F)__Y_s;bXkef(OKmo+F+M0#uY_S`QTD0SJ~cPY*Q)x)oL&74<4
z;_mp)5OGbg5%-#X?ifNZ*Td4*PZ`!(XHRD<Xd)+LNBr`D5tz8sHGa#eAfb5ZofVfR
ztcK(j{gg~#)7hh&*QA0wH@=<tbx{LRTPv@f2{46Y-ms;T9R)s(*$*OXSMzyo4)d*C
zGZbx2lWi}gU}43ZBR5SAS83kQjx-Z+&}r~`+CzcN!<NH0WU08T^S0ple!x#SI+}Zk
zf;%Nnm-mKHuymcv!|Nvy*lE3Arip@WZI{*yCn}@=SCYQDtvR~gZ@PCJroc4d;^5XW
zMR<n>=X7V7<NIVxd*Xr$QetI}=-A1F-}1c9$F|k_x1^CV7Zudy*)EBT$>MVWgH6k{
zISxNMbVfK?8K2y{g0+6G?&mMg0G}0eG-TUmbLS|n?ib&SSyBRt+6LY8zgP9S^xnfO
z8Hz~L`u9ntR|K!_z7ovsG{@$xo$ejc3NZfr{lyD+L9m#&h`cT}hdfVz0<W7q4vuGh
zn4|I|e4sl<?mu&M*zG@Rt0;%9oY-FXb}ghOCplbH%~3P(XRY*a8LXR3E^X!IK-?zI
zl<scedai12&NFE!>DuZ#i?ARr=4%mWG7y=q+Noi%0S64t+3P+tp!?yyU+wBZQFy4U
z%O6RII&@D&U-&}|8lPeLP(Yw~o3hc)E^(wiJ@NW^?gBB($~C1uY6kV&?~{r?i-N_w
zf9?%^mZ*zv3K`Qd14q%^YqKR`P(GzRi+?>s1Ur3f&j>fgqbUbw9zqC}iaYN<yD?2L
ze%UPTUvGklq>zcV#p~dh-X7sDJxye9ymMcZ!vw$F<mUVh1n`8Nw>VIJns7WP?R(D6
z7;c)2x&>o=$WdJ`Y<VzE_;_0^eJwJA=`*|2MW=Z&S7h12bajR}uRi^A_di1vj-)@|
z6w3`?$M!;&w%-J&d%l#(4nyz=9|)7I;=;KnD&BndbA;)=^DW088{pYO745MaC!|>;
zAG`mVClr-k?<=i0faS71*Ntx+sO;Z<>)zKz;*p)wlv$EK^q-rSZh6U$6b@lGVsx2U
znJd3u|4R>X7cy&n2idUc(}gG6QY*w)4*{dx-Fk@Kc2qZ4j}30zMp<=63{YarIsUyv
z7ld?ZA#WusSh$6@n?*9>iaujWoU<<e=9Ve5c(dYPS;dj1W+u$qI%Frb>Oh%L`YENs
z3NBC8+|Lvi*d{BS9(P`?uTgGuS7yblhJ{Yko2&?434GVmsSVBX!#4kHSTU8jW9*j(
zJKV-*AL;JV#_P1LpP!s&MW^(=42gCQ*iE<7%zkS@y_NDSbCMNxr92eP3{KdbPy51t
zS_>y`+Jz1tVT1npA9Ew&Yti<=XsK3K3kSl@^R~;fqa-P2opm@5)NO>D&o$6+L{2O7
z*91H6*v|jZbKt|i8I@19dua#?6kgBxl>=$4!bg1n<40h}1@a;<4Kbvwtm4!fTq-zs
zps!Q_<yNX9`{<g8T_gR-Mv)6qfd{lw|E`0V|8Ua%a82}oYjQjrzZRY$Klhpj3W51C
zvqPVjCi+Ug(RMQPpsZ14^x3#D_<SA@>P~84kvdqm;|?z>M>prrUJ!-0f!$TM(;6_Y
zyXH|y@*%$C)xb$7ar6gPXuZ?XKxSk>;T4h}+sz-Fv(qFoa>0t+|63hqUk!AkIt1{|
zJ!rZ~OA7RM)`Qb8)j_v;Fz(AHhzlZNuAZvW(7Z5S-BP8FM{9P8**FS8Poj2Rp`#2K
z1hP+6k?Ii6y*4RuUl_Bm?mMZTkcGcnQP`6~bwsUe89qxD#ih7|SG-@yVXwi$gtevy
z0$)|CnLQJO_|VgP^6M4Q|46Ez@wx`CDiX=wM<fvB;8tH5s|bgaWOw+gexKB~OS*5p
z9{-92mi@<-aBpE;Gb2h9-6}Tw1JyS`|IVGN^Sf1$8LI7jVqOzlZ|Tea&5%aa2I|P>
zFBFKlpDeLIM?*E$!E5oB4D#2H1qC}&QN8?5vX#(+(-*~3zsLXg*MKy$Dm9GU(yGhi
z(?&qxXSR=@<nUc-O7T3G2C_yQca}2fAi-%lfifqL$|vG89@48mQrfMn%cl#)^YIq3
z!ispJ!aw9)pb7D9W8Zh0>4BK^;FHi&!Wz5KybvB5W<N9@{*$Z^@_N(LC`)BrV2dAN
zaHWB|VAAS5W&puImIVi`RM5q^`Rltd8pOYFZyVfggdH_UqxIA&xOK}(Drh$if2l2#
z(f!6auy01PWs!o+1I{v~8)ztCknU68Z;Cw^HrEh0R8gbvA-1n*b)PoZ2av;N@Qr_P
zcbx<k<0BGI^hFJ5d~Zw<RRw;^95Z^nhl<lK(kCYgbvzZ>%Juj?Fg73;vlL0i?U*f^
z<?2+#g);BI?r)Ab`opp9u2cvgH{>#GS3ynQkGVsu`KWts*ow=dD%ShW_s82S;l7h{
zDz~KtE~J~O9P(F%2}|{!syuo0Xxp{lJZS-iKGss38x;75GF%UwmVvK6TXb)k1(p|f
zZIvif!MH@g_w%=;5Yrsu*Zs%>?-ea?=cOuxue~eNKVJ-q`#kQvxNU)Nsxk~mU6r8N
zoXQc-B7`e+fu^ch3rLmzWPQlA>X(P5wpn+s>Ml=hjG?s!LUi)32i=fIXTH*{I`>t5
zaA!Tmv1|_G=d%SH_2fX2>#0#?XMtVOj^@UEbG-R};+WHG8A!ith&>bjmze4F>8r6e
z2fq_f(#^fnxK)rSk@NC5;mOR~@b)|KV8}?QR!|BS9wlrIjibb+eY6jLk$`fQRjb}{
z38*vPneUbOLBwpV_1w(^T#?fV{>35&+ofZZt%2`}xB*|)I9mc-JN<S#KN80I@D~c4
zI`zcEROWQ42s7l^()%`C5(NC?n`AS5h`i)hY3V{!{Lm2zXu2wZTuDQbTl?<P6Sv&0
zN$57g?pN-7r&{=+9BF>YCA^Yu9#EtDL)Zkb*Q9iw*v<om=vG;c-R1Pj+rzp4_o?xn
zHB^fOT##qvyDM*+OK;fm)VMI)2x~QtI%T(VAYw4Egua|blzp0?q6`?~i1@2!jaW83
z^KEf7UHh1@IQd(KLC+A*NeuSd5iE%Bo$T=8X(mWn=NF7;4B#%9w~~L42?7-fzl}D%
zBVs!5e`4v^2T$I4yC_9Qc)s}H5wNd=pdajx=(f~H-mH{ZM(IC-N>BIEf7L@I8T!8P
zD%8W(iQ?SK|5o24<(hpUwU-clJ{ju8s|Qn#>fq4yWy0i?*tus({Y0c2Yt+Nzx>z&K
zBbLU$M0~mSpyk8F5J7pcRBb(`gS3l68}hpr2&bbxx+MW)gs8c2+k}q}R0CbuhsWoM
ztxfL@yrw6K^+DyD>7TWc_O+@t%wnF%<JS&xe))^&c8Q*nchg4O#~15GKh6>Vg6kb#
z-ku?twZ=+MwQGUvvQ=o<^*JJE`%Q=Pv{^!MULox64lU$;aNpLMGe__xSP18(&l5L2
zXpLukY2ZJac+jnNjtH47C35aB67shS^Tk$kNBJjLmLko0qWQnKp4@}WM1dMh+m^qY
z@ZQdUNQ0aw#z!;`JThA$UIa@0RZG>xT&Ah$WYhw|7npF|YbOI-vH~|%DQe<Yh-+Jd
z{~}TO`!=Ut1tZ@0{kb|AuYp8`XlL>0CE~KYKrpWiGwi-x2<fd?$ByLs$iofG#H#|!
zCv7DxIOqHI_$fwpn4GrG=+gO1j4?ZQ{M^b0@6st_p3Q0)Ce!O=Kd%tMQE`o(8&<jQ
zyB<luLB)SpN@krs7~s8dLODu+6ZVN$9xnb-h3^HoGaGg>VsCGm*%ytq@NfxRrtMZm
zZQRZ;WeH3OA@YA9iU(_@*Y_>8QQ+1(;W+t>85M4Z0@5*j=-K40&tXr&ImgCPsa1YR
zG<0y=_Jtqfm+tZFzE#0HXQBRwciFJ;aBY~S>pB!2va3zmxmxf3aqXZd2kPr52haWz
z#M9rwskVQV(XHTo*@ni6fC~alz2(BIy#1Vayhs^;e}+E^)m{sIr&oKHGDShFPZWc{
zGImy)UfI5v2P)|zNhgZML9|`<*r}(C-<-*Z9rp6!i`$!%YX&5-#cKFLlY}z*4wP4g
zRq!L9srFHa(+1Qp-TrU4m@>R}XuV<Buntk*D$NIHrLkvj+ofw-tM`Xw#J3d-qP_Tt
zjj)$2+>|`F?b)vkdxmWrZ@LNtJW=BEU2-VvvdA!bp^VdFhF+}lq9_y@x{w{FfTb75
zXW*!UEfHzo41~pDqj94_Q$`6rHA~mznJLKF&l=96CJ70dw<2+U%7``|6j2<f;96XQ
z?WsU1G*-sSHC9uQbDJ@DT7Zi0*9tbT_(@~xx@t^xCKUn)%jUz5t6^^KnXfhZG6)$B
z4*mcC`}xv>v}0--ILv+4zUj9tu6p+V7^P~W`A}kiQHCb!y~FzBo#nA5ve)mF01dl%
zxYIZrY3SNmscccD07_)UgzexehgmE?JtVG;+DFQb>sR|u@_ajNds7R&vMD)#b99hj
zw;a>HnrlKz50$4HYJ>CN(rt3nsy>uu>~0-Ufw%YXyXS6d!z?JZXY&RFJgs@3Bdw*1
z)Ht!!#`oIT+S}Yq@EhS{{qD2xe5m;5NUg6WwGm|Nb(m4a1lQL)#}R>Q2xARPlG&?`
zkwH1;VOcZqnjAdyz*HTvJ$>~<wOTOR&otmG0IaN>FcRxfhtKxUi4ILPsCUW61hbmM
za}VA3i>e0PqMtb&IH`%i{fytsf0*N-X{+olT@Aby;dL(-P{)Z6g|Wi97KrB9;4JV<
z9S=%If+|<%pH}yLyR5z?%$<*p$n8`|{hG#+{MC7!KEOM4v%nH59iiK8<J3@I$m~`h
zCWrq40096043~#H)@>Mu?X9v`_Fk{O$8+<djI4&J$jGQ9R7OQgN=p>kGoxscjPQF>
zR903pA}T(6@A>r?+}Cm3*Kr-^Nxd@gkZz0&QB|cQqRtB7)+CjBJX08MX%5CZQJKK4
zW1O-J6!OqYL3}PM;f4OoHG^}DWazv*S=kjR3-Ou$+I;{`K(fDf>~KEN&7irC42~~%
zU;R}p4Tty}FZ<~+f_nP%wvkXW*qLs~z`7)ax|ckUezuJY`AH5p_{k6_mU}2pQUbo*
z>ij`FI)PNUHF&b08-w<H1$|2!F`%GWtXXA>L94IUKO`y}L%q<4a<^+D@KjTVjmLGE
zNFwvx`1#rhLa0-I+FcU_{yUR|xWod{D#e;PM=}D(=kaBcGW?)0FcO^_utqdd4l)M4
z0LV}Fp}0oL1C3F(by*8rgq&~xfH4UGAE#P~+rtUG)psc4u2NuwxlvKpQwUTB4QR5C
zvcbK><N9l-De<8XA&dWAGz9;Bb$|AjvO@d5?5NE@lsLsBI<O|j0A_o4XW7d$f~$_=
zgDzSsY{`53;k#me*wB{PV&6jxiYbR5ijGm@4sB_NtN}fEa644t>j_FIb9#H1lue0q
z-&@NIa_GTtHT_!$1vU|7YJT%&BTD@Fl8XCF8(rW#Ibvz8yo_@H-j&wsq`+gDn_R7r
zbRc2m)Zf(cS)_AL!HMvoz#;n{&TJ28!<(cdmklqBqAyzOYr4xjgsWLZHleHyulqg?
zwg?U)ZL*~Mu<i~qy?A_o_H8ZL+eSkY^=w1tERQd~$=oKA>AFhEBbu=Iydd}O+t=vW
zrKq9Pq-{dr%G}KZ=9-XDII7l}Ttje4_dTT^+aliIrSiV`Mgv@Y`e&`p+X?&2Y;T!6
zw}{1ib$hM|X~6BlP2ZgHKEg!y#z)TiEn-GjYL~)8br5G@-FNlaZ$gPux`W1an{ZEv
z$URD@4tHBZOd`*W5dOz5>^Qb;6ANO69Y3$BK~eFf4yX1w;Zry{>>9H}h$gOtChw?1
zfY?E0`}Qe<ZpqW3#DoIpSEhanxvmOf8e2Cgb7zUz$))<S0Seq1{OX-Iqbh{AgbVf^
znI|l58Kq^PP+}K$=543PDj+aj+7e8=NXVQN$?!i%g@21SkDH6Dz)W**6sc^9;Iz4B
zvwDgeUwY`6uKrFL>im<RE&Hz!dX#kfO5rp(q_Ft3$N^<Y7XH;5rME`-y*I0Cd{2un
zh425O+NuP$Gt|ZId>h0wzTdNrg7mns-NwdqmlEtN&!Ju1vqh9HBou_^Ghm9so)V73
zB+%=1c8rtWAvh>QwgQeZ;b88KFHuhwA*}LIuk{-W{MhRH$!vWV{A7V|R&+}NYD{*n
zeEQeRug#v>=GMFL`H7)&R~H31xu$q#QIQ%8^_Zw{oA1HiQ~Q;N8s&j5O>`HIqrnbL
z1_!>~X2UPby%wFx@^GB5hFg-04vY6`-Fr36jz2LjiGQq@0~IgzXrpp^thV^w^M@NJ
z_8xqQq#Wd6eVqQ_k#I(QBPb>?iHaM~J!#(Evm^@*w{+;f_%dUgx`)<BKl5PA<bo96
zr?PN%E=^VN7ArP8d)Xqmgby3)QIS4)$inMvsTXT4yYXca+G5ME0yv&?+n!!W7I139
z+#Lxv+{{5Cu*xKaTi(Pz{w^*H$l%R`#4GIBT%#mH)<6V{(*)dAl92_!gB{Pp<~Xpb
z&8aTOd!qPW|Kr#=b6Hq)e{+%YCKqNp8Mbk3K@8vMJ+ZTMR~GUk%yg=?dGLk5*Oxc_
zCGd}<vxjLGW#QPiJ~!(wK3unMvg$}Lg};wYGgU;%f$_`VvE#G?xa-uh-Ot`g<LOe0
zj%ssxU|=5q_(?<%U)LE7TJ@F1#w!Chl4J#F6lO8Cb{58;g}aDhEqUxe?@47Fq6qnB
zUX_^xB3L!a^_LB!B2Hvx4SzLHf=iWRU+xQvVJf#E38r2W_HBM%QR<`&F=@Gmqdwxe
zIAW%%$wnE|Z+<oLcUOV$^Jmklu>?NsuD%&5rGiOus`(M|s^A!Nqm@BO3fI|D<_3+a
z;8mvNA2oAoV8BxRI_`=z4!tbM&=I4Gw@tU>PX}p0ViQ%zukSLrQCsWn@@_T!;9-q@
ziMSTLx+G1giOJ#0)~1pr7d1S!mzLUSP8(QZMyB|vJdWyWuCu$OhFi_wy#M_}7kn*G
zzsdDez>$pWIinV8_$_k38Qi1~9WQzg&mLFA{}rZ7ZvRll4bGh>)jt@5qPoV%9BvXm
zT6Q_lP(T%{*ZN0_9R%>QeO+Dlh=fCS4+KPWtKgk)wB;8yjG(BEB-_+P!e{HW>9aGH
zaQCKbk^hbnyngn`qrZxTUvr%k>B{?ef1+l7`I#{c)EjAib0uN!V3W=0<FeQ(VZ1I)
zi3~c2)(^g`QpB%W?c1dPNaF2AuWs%8WGI~q@@Q{Uz`q4Im(HE|_lNROeb!ns#2U?=
z*DjF9>8UGn?%jg;LHsSlvTtN~7kcBGp1B;RYiawg<iLZg!$i{SE6AXEj3_81WU!{>
z$@WAyHhg2EU{mfU8LC(fHt2bzan;U+;BFEF{=%mg5u-&0ADB<9c9O(CpW4a}v27DB
zR~xu%yNuyhnCbCb@#46l$k-z2#1wHGjm_$K8$;V^zk=0PQT+2jMLA_1CL+tHWb0>*
zz}3(0iUyYm<{$3u=*j(sVl0X~+%FhG$@b6P`E7f#Zqt*Ci!g(P-MW(0mjOPaw8!OH
zeE6;MwAb(BOGw7&fakqn04nCW-sUWBoJYE8`rB^}^>>)^@U0_Y|M`>YdKU-w=x`%f
zNo^uE89JM2Mg-Enq<aR&Y}n%&qtD;ZTS)$`?wNcML#P#aZl&JHil@~4Ki!SpMwiZ2
zO*4Z53};H4M*Z6jfrISoN)_9PHK9@Tr<Xol_IY<XDUB8vJ{IC`KeLURbDs>(J<)@>
z;q#1?B2>7h(C2(+%NFX9HqKc4rVF~o+_pg!+r&;*VQ>A;Cd!j*p}f6Y7bH?jh4jv?
z629)b4$eHA=#kWTp3D&)z@76u=AjG3N(zcQBC~-Qowh5ya<pMvk>%Bl+%)l_&-SmK
z(K^DZeXo8jYk|6C%e`FJ5h8Od>dsl;HAJiV+K$s!3z9V(_ZF@U5KKjNA(L-ck*;RW
z+Q*lg;KVrcfVrxjxY(VZ)g!oywAH7cKVjE|LATITw1EWCT`AEUUbKQH&YcdoxU2yM
zox;<yr_xZx8MDBj?kgzi)9;$hQFU;q?7Q#CQHQ3!?Jrt0T|rAPs(yGnsY5C&9i6IY
zJ9^`F-beS)3Zh8bbNqa(8tj-;tR0N)K^}dNyc1(qP{8{;JWnjtpvyNdHivr<saqPe
z{8(K<R7PL+SAJ0i{yEE%Y=u9_s<$({=;112(95N&u~3B`ru)*9yd&rvw`I>Chc(om
zMt*mvRRu0D*bY7#9Yt|p-*#TISx4<Dg@0L`R3JYsRyQ|)0?G5T>gEP-AiHIyW%d7*
zp>ZQg&C+!m-DfP(r~AH%7N$BhR)UlvC8>UCBW4y!e)PzA;<=56&)%4^WKo7dsle-X
z%X6rL+CgKOhXRhtWx2ZSSAxXbuGa5;7LfIU@9Xt^lt8tx;kYlH1ltS;kNZz8BF(+*
z{YAP|z;HJE-tlTh5I<7#z$<DQ^-GZ@Q?5`$T*X9q8I>ZqF+Bgmr?ZOG7J6EK57EH5
zj+$<mjRI(kPwn5$w2o@2Z=RI&rGt_j!gC}?9)b%SjK;P$5cAQ^vqwc4V8E|nR_h-h
zZ}8c?IM26@mg}^VzfdxPW+q6rddLBr+Q73mWeVUmOIZ+LXMsiMpP`cNvJg~|u>8xH
z656h>${#$k3j+0aQ8ewBg*THr$p!UP5Grsp&%<XAq+3N4hkliT>*>=S0){l;k{9xj
zx1J3IRVgdj4$FY;=#8&Of6&5utWEJ}G6#gkhm>YbN<*CCd+*or^pN3aZOl8&2{(to
zn_Y;NhE=JbIPVH03>s03Hx+RM--)ALT&B`c!?^pvd<-*e$fV}HP2&Y>amx=U8Kt3!
zG4673$3MP3tI?NP$q(J%xCf#KrQqoP2y%|(9uWFtwqZgi2#A&1kkl*%*Q!k_Yp=3_
z4)#sty&(*C)BFRj?NYGRUD&U-$PVUGu^%7viGth{o06IZDM;&gIZ1z)6JD5F?3=wS
z2KAHkJb@b0pr0bUu4=*!FPhJV^zuqTZe%B$b*eNNoG!W&EXoVfG)tqygd|Mux+eWu
zQ3lLA)pkrI_(3W$@)!=623@|#5!*8|aG>FKR@8yLz%M|vG=5kX4!6+!c|9fz4qHay
zL1{wp$Xzkr(@-8}K7Y^S6O)G`)|Z|yqeb9lzu58-HAUE;bo9~tOa*v)r*1K|OB4(;
z2ida}lwd~ufiZ(G=^t1BHmy<<hd}cub)RFDAzyZ`ecDVJx(YUHOwuLb)3VEP({L5o
zJ7;R?6R83<+Xf_Kb}8s`_EWujTovMYJBa*QRT$x-4Dh}q4TV1+Q@#^agNRShSgY=;
zgT^a2|HT~{;JC`cwyRtX#Jib>E+5o{L@plwoYQhJ`SNP_j<7nANtO0v#@hclZRp%r
zEDtT75_(D&>L9|^pImOI3sW8?<ir&P@QGJActt@S%<P>!xi08~1N9}QN7N+XjM7^*
zBh(=OYGZp-vLPfL7C5QfLxQ6X^o$kTs$gPG+qLNkuvC)GJLIbbdxL!V`X*F>hFM5S
z=!g*r8hqYJC|81vB&S8C`^xZP>#>2lwlQpUHd-;2D1kBYW5S?c5iYh+(Uh$igI!6o
zgT9jzTnRUGk~flrbDEr`oDaw#UFdy#^d$+tu|CzAIV%Ock#}@lR>;uaU;8k+R1uof
z8rmRQ41$WinNn3v;7i(P;q{9OFy7}B=o%sj4a-8)1x6-NtQGR)!@3;k>CJPWw&jLe
zU#Y4OGA7WSsp=_jD+^M;ct*k>?S{KIUZ;GXB12oriHrj`q+#1wE3t{01|ob$C<335
zL8>PwQzT0g*tgCe4zpWCk<+(!Cn%6%y(hpKmx=>#P@SyE#}@Pmo$t9_Vhk6Osrddj
zih?{p&#&~g-$YT!98H6YF;pkzdhG2H20m32@7$#YqWI--d0U|oRGr$B*=Mj9c9IhQ
z(oAd+u0||%ERsfmqxm_%wemvMmt(zF|2(Dfz9h{;27q*0;NgHIF8FAE{?+ZjRG9uY
z%2W^n*w-sO@07|8g8KI(!qsVT!e$0#h!Fx->**`U%XWiweh^++qQUH%`9=1&hM+IS
zRiXTf38*R=KR>jj#oU%|;$$BKSoMvf4i=<?6nWQuuk2}Y&?|;3D);oEk&VYjVT%&1
z7Z*)FiPK^+)n>h_ay^jw^qJE-W)mHc7_qBwr@^muBm$hKb%8_7na+892`xDn@qF;3
z!Q7lX9|9C~K`{HfLE+L2x=t;~=R;3}x1`mhPY37#gE=GnxbraTJauohAcq>0ZLMTq
z5!!HAJ5zkH?+5a0a^e!RqQ+i)dnDd-XoJb*mQy}`72@_tbj+Zm#`aHwJb2G(K~1XI
z5`!2f!Wk|;4EjNZO#;fxPqt{n_v+MJcay&pqxC7Gzdul6jic{$4b(NE{Jd_r$@m~~
zU#m*Y@Cy}=JUl9QDnkR95>M4%2pu89#tdE_n54p&5=9eIcWZ#(^LLWp5+;aSDRrx!
zO4K+qymY%bQXNjGSH~&K&k{C=8q!kZs4-K^q}=swHTX^IoT=tDPYg}`yga~7gFR(q
z<)^Nwfrr`suiDXzgr0ZkLC$I#eBnc4&aZ#oYT;NsYL>iA#NW(QQ;VX-(=#fE4&3_Z
zvyRpKDzjG!Z2{{<>p(jEoba4d;ZTK}^;J~IpRW^=VL_|8H|cS0zNc7hjtZPh&kG4D
z-z0wLR-AZM!+^D(#!&=mtH9>Ri<TQ5+eDx%{bgYhCOjaZ8NJ%348xK8E2|?Y@C)v(
z_?bdxoR+{Aqkdi)#xGlmyvU=(4}FLLR}WUqvtibIh(j4hUR)g+?W4lz2(LAz)o#on
zxL;8?NC~p;l4ov6&|of(qr>gRdobyhkhpz22@V+s{C#kP78jee*J<{$VUfRiDHGZx
zc<-6YD!fUDv+tjw?ib|1@{bq(t0+{2r@f)w2V)s<7_EW-qi{}a<0N7EPF@jw1w}iZ
z%$RWP5&95AN^X2j>*0CkN(E5x_}=I*#Dc>PPPKe{%7fRfmf!9@ssP<brXG*%-Gy0G
zX%ckK^5Oa`>$(r<75?pYJ>?y-J(#oR5Y-7s0X&Njzd6t#4>8|GpDP|<!(#T7_6xp(
zID&yWAthTLBqa0_SRS(DT<h$QeucugAUrIY^N~F0a?{2(OmbjP$_v-dGK%68D>aWR
z)8#?_v_5&sgA02m%E(#Si(zxtFrm#a|NQ!{YWU(BH$Eq=87}l%9KX2EkY2&10P|I0
z*-J&dIIo?7k55bzzocScHjP$*Y9}hSwlIFo^^Vh{Bu@%|EY%A;DWeE4XI)3e{PyBY
zYNy--^<=QMdX$Fb>OY=wtnsC}CWN{7o<8vQrz~EcTK1mVBEjPzxdCPe5ll|}W#w~I
z9?#HuX~YXFLwxBkHs&j$SmJST#vn-%YdpHzadS`^+H#TI(HCNvH7Bb3ek%!2uw3ot
z{iFg>Twcj{N5yfIb$86Xk}|fQ_>sllqzW6mM*UC7N#Z|dcZ}sml`(byK4#}NHQ3CM
zx4U;v3ZKzd%r1>q!4H)pNpCDQ;As7tQR6FV+;-s3N(PH6b}GuaEdN0hM96n;6938I
zi9{-`IB!*4^m3?T<*+u)mHa8^*e!>9GoP(G#H(UiY9&WX8eOoa5f94~l*hhz#u)G4
zRmDFed5^W$>VcWvi*Mab3Yc&G*|e9bD(?L1FQ0kK0D2GUhio=0;1Q+p`a6UQmN1*A
ztu;lU7UJ@&-&ql7$Xv3nTvNvO?|1(w2m&~HRe$ruJ4JlTioK(7S_!{=boU3Jo)J*Q
z#uhPuQ^fBY9uy9QDdOzE5nGufMqrwy-It%Mh;1udH2cftu+K#3c=ZKi;8{88aZN`N
z^O`YzjeaMM*Mk`KZVVa2{?modarYGPz2gT29zB-8?w&yrqjF>jzxPMNH%A`pW;N^^
z^b^I-X_L%@wq*FUX|U82DTjmW5^^-__hPn;IuoVCWVp8}bMLT@EY3?`=eoeigBd5<
zDY*2=P$_@@lwX519=xUBc%zXGYqe<Qx6zTIx{iI9gs~J}`=lG~WXgmc<_l}3tBt`m
zA;R1AxdaxqYEGU}qrz(A_|~YKF=R=X9NcCW$F`Xl<!T$23Cp@GhDn=7|NO2gBlurF
zv9Mz-TWbFi0l~fFnh%ViGyd5Xt1@BSox$Q5qFzTF8a*P%BVYvdy<hDP745|mKXy~c
zDYc;|wtEDJaslq;MAetp^WpV!e<MzcKj_@4OMXw30V+)+WM8rH;NSpqH*MfJvYOa&
zbPPej5%-qf{yHZ<>78h(8Zd)QF>=yQFoX|%Povvp*>SdEYNdnj92$^v+oG#5fY*E}
z7dxr<U>8$mWBvI#^yA8@D}lfD;r&fbmuO)YjJQlw%XiJA;|D9~KC|n?Q$N!z<wOP?
z_}|_4AK%TPE-KDhS_?fmoqX=JgfA_Q+WK<k6Vn`0_C6fMa9bC0zP~s=pGbv+23w7l
zBxliHGA+~nCLQ?RwNZ1Iivm06+l*Y$oJNV?lB7*}bU-rY-4)@A4I;JTc_e9L0y%p4
zunc%<!@v=WY36S$gcoaXfLZYvDy6YkrmN9{r<Ey>xlb+<_QMwodHnuEqP@+b=lQhY
zu)e(Th|3%iQuczr77Zi8pp3!qA(}ASA7~ePbBX|hszZ+S2hnZUEiMgcK(Sm$hw8>C
zQB{_o(gQ=NV$VWb!hQ{SU!fRvk7bxB+98d2t_+~M_oSzh@6@3{BkgTN-VpKH0$VA4
z=tG@CXQ^Xl)FGcl5nSWnPn<mFnOgg+8=dMbGmJ}DgYtMG-&)UZVqNs9X|`P#I&SY!
z=*FuCBHniE%X>PBu&a?(bsU}Oa%d*iV7w|MX-)|jI<yi){aHa`V(o}SIk97$TNQfs
z+?)THHxR6^6wA1STTy{`Eu&|O3S6IZKHuK(iLkJ!WDOQ=L6eMbw>8C8z?hLGX?r&&
zB=A6<WlJNnf2!AQ{8Aad3J7xlUM?fboFBXqp8AT+%+Cx5=qp1v|2~bM!><Yc*Ngjh
zE_^{ZzTb*>Nl^kj<Lh#=VY$T3r5i0}CqARS$vL*4Ka${%j>4q;>3Bl8Ber)XqaM8$
zFQ;9YQ-p3U4qm51H=>hWO2JK|9u=jE9Ilj9glYLdb5TL}(UIJTzn}2dBgenF*2~Tc
z@J=SueM~JKdA+R&(>JY0x8xS=Bhuu-<6F7}(#}Jy-V>jf%IZ=0>cocTkQ}_*>2g^b
zDnjSRXbgSMeMWziU6~eT<>1zkOWF6dH|XX03um>xz96Zm)JGG7WZ`{lO$2+%Ta?uN
zOLi;kD^fo8wrTU9KN{Yo7QaoDp=0%H31-5L=-%IgBlMy&p!=b3qpP(N?f+02@no<G
z@m!nzn{Y)M&fD*L{&t}n$v(1p<vH4d-ptE*-2W*BC(hbl=S{{a`mkr^p0rj}7i&@7
z3{rqR_T;Qv*CNhQ(@@^2Hgq5@p-b<XB)pyXFhD||P(z@R1f^F8BImazRB=hdwm^vB
zbJlvK8@N2hu<JWoj%A$Ch?0P8hnOQm;$KiM6Yy;fccHzjuHPQ4iv!1GtV@|k1KLP8
zCXpAq(X_MGu~z}&AQh2WJ=EQVg!GW&U)?^$W4P0HZCVUEzc)S)jQWNG?IM3B)%K&n
z@};sVUoqfl*=BRsZ9~uhdMWztA4KLN3DZNfqA>m-%>BRb?Z}5Khb_Eo2zh>R{9zF!
z3R357F9;@gqP+43r-Yb4XjWMA8V{u?G!A@}tiRiZo&>tES_coK`r46R?FS+-aQ4Bh
z!0T?by*IYDG5$Y96Tn8DEhGXDkKMoahouiKG3phxPK_a)ZYC4!Aq>HycRyY&=to{N
z6h|7OCXsaQQ8|k^A<(z<YTq&$M8(A%8N*&P$j9N#rf0n%v{;sQC;c2kr*wNh#ahjw
z_&AaG|4|5nHh0<F*^EEvMfFdMa<&De5WBU%%V;m$zq2rA6*r97m`3zn7?x0QbI1Pu
z(E{Lo&aok>@;_u@zM#KHa|PvPPQ|$X;D?wXmx=>I<A`cCN_#1D4Ou;#ly^|zhq~b7
ze!D(RBG+zYHD<GkG7{bi1>WWZzinnGD49Vrsa898EOyX^;f!_ONnVJL|60o$I)|<g
ze;mlSqJ-P*SK}HTc;OCtOMYnI0(#v^O==RO2C?DXO|>Q-&}JywrMQ0yDQTXQ`lCP#
z&ikV@<SckVoYp!o?%E3a({nAT;5<E~MqAbp?c88_jyca}WexS(UT5)LWQ6d{7kO4*
z+(74=lV?@3iFC9I_K6TIFrArwGn|ndUd|7Fm9N@Ctf#&rhwj}FEbO;&{yi6X>|TzN
zzfTE&o3XvjQ#QDG>g&1p;aremtoSMF3^gF3?vk~;9MIxz)AYoV3%r?!Rkgxs!Cdrr
zxmy7j<bE&`rZ~U_&R-bmaRWWXyms|Jv&{ns-2(f&ow;CSzBP{5feG;G2R_!1_+cdS
zd7)@L7yQSVBUT{G3Vk<z+;ciB2y4~*#7HY#u&?X<tu%=}a7N-{s@pyh=u34;9=XpA
z&awyDf(F=tQ@Av=WJeV2u)D+_4<4XM<S?VF=YVu~!)e7KaZpyK+?N!^3l$sz<x>M(
zurjZlho&T9-%#O)5gL9l-Jchhr@#xk1J5#!OUQs<mg6GNoB$X|J$Y|l%n#F65|5&9
z%7M|iqO-<HA(%B)?KKS$1e>bu)H+s0h|C!=<1ZC~LQh5iElm-)WVtWHwoC~UBV<N;
z9*cnj)wzz;c2N+t)|2tpSAmI$p{(qF2}p|Gd$aA1IA~Ml(JE!DLeH5)x0%zWfo`X7
zZQ-~ih;Kdv3u<*xxb=@v|HwhY(lMK06KS|Nc{ApZy#}a1I<OvENrLAjn)g?AWkIQ0
zU9|n0Ce&;T!v4o9kQI8`&s#$tcv%I*nnSc8Adt814YxXoC||mr`j3}6UQ!il$Y?`k
zAB9TKfF{su{9O*B`IlSrSX25%ZJ2U9Vdgog1Hz=S*dxc3;S=BWduj)?;d~tLiZ#6f
zl(M#U+~-mOJ#{Ce#&j*n<5mtD6#($%iRnqoQvv>^A39_=P0)0fvlz=a0#B+3>SHvj
z(8jRte<E2OUTA{NEGHRMJ6dF3$*2N3H)#xxsDi&}scW6B2|RYt>;A){3bz;giCR}B
z$Z!ihtYBpd{AS~CDPF69VUfV5a;hwpxn#s}Z<&Jq%QJRXoGS3s{lw1SLUB0qWlea+
z#SGrW>zv9$%HZ!Sr>tBp09E1TDT6^~z@(qw9eR-jMbv*J_f77BrYlsT7Y>-g{{R30
z|Njh^c{G%L7={ZW`!dGZ2V;h@FN3knJoYt}Y!#(KiA36D$&w`zN`$0EichFW5*|t<
z31w+VsYnZzto6-b?>WzT&wI{qd9VAv#3?S9<H%a@Yc551qr@_Mn)b7n=c^s4$DL%7
z@-?8wYtyC!TD>hDFCxE22G~K{%=YR0?^JjwQPW-T|F31=lO<t~R$HK)jIOd_QNV4!
zb^X~a0R-WS)ErS;aQ~eZ;+?Au77PD6HTH>P#)AXiEj~8jpm#xA`JV!iDD}mPNd)Zc
z?|L$I*&41mux!>7WMHS;>O*N2L`;mWX?gM63Sxp9zZxGTz_cXONmrVLa|g{Teb-w7
z&)R32`r2af!8(6s%}){vjeq7It_L_W8FE142tPc~qzwNJkip&j<Kfpd0OnuaP9Jw!
z3HQNhnk$_%|JrTDwT2C+&d0U)p83r_5}V}vCRzq>my0+DZe~Fcq4Q>N!+W-l>8R9k
zHyQLLj|Jb0v4reN^WqIQS6bSi{992hE`w=<vKhM77SKDJMTyh<&>}mi_C}<Sgo62u
zoqv9qgM;&}=#jLU7HO?5UE^m+SS&_eJOJh(DAGkcF1^qa<LJ9`Ac%yes;?uh&zV80
z{O_9by({pt%MSA<M-o0JdA-x(HiM?jh9S*ZZk+EK^&qlISgoHtYq6gRxAN`c%77O|
z-yG+)btU0}#7vW_Z>BI?{B`Zsc7BX_nle5dK|-6t&hE(wQ=lxHnY|+lqUN*Y>aH3R
z4ljo2q%51jnaw^|6j;Jo(nvp6xLO87y<e<0%`t&Hg)@)cZAG!e@}YTTj0|RG4c#8n
zGJ%pyp1U5O6+?@-zVqzWvgj7)?CsNQ3@`3~dRdSnj=r6y?;EOR@p?tjrS@oJ*yU2a
zeK<@4SDX?{Ij~m_eR<PdtaOcmf8RCAUJpss%Cy<|!9gAuo{mkf_`(1Ko(CI$FbVj^
z^iYVmsRHKI#W}iGGoWIS$EH|W3Xf-~x-793(KC4W$LJUaWD9sPcMB77Vk|;%$WIA>
z7Uh@zac96#I<a)+KO%NKDXZ~yB;yA5NiT*W1K3R#RqcPI@o`puZqXMquGxK$T(7`@
zlx_LNy>le|wK><bJ6{=h<Rpf#mSjND6RXCbT(Y<|{b|CuiwXu0?%Rr-dA=6mQ7usp
zm4?y^ukxxQ&q2bv{bUAsA9y3;Y$T7)J@=e)AF85b%B`FxCIhUsYvs>uR=~q0R(Hpb
zQ}FEciI+P54A`W2{h)k?BHp-XQkmkWhK`yEd)#sva7;7n2v55b{-Ou37LuUi-W#Fa
znS%`Ydf?AoQX&}#jlCyo`lz^3V(bf>W(?ap7x$a0DWjh}OVKNxh6;7Oi<v3LFmzkj
z`S>GcTw~Cjlwzumsu8-2yMGyj^y>O7l`s`_$PnC+FszP}J1^&_gqy%;PdnFr;;OiN
z%H}_pAPsacPMTsbn1J1R8}5o5s+e`9iP`l=1Jf@3)h)<21-AnJKW(lQ^cUCP_uh<-
zUqv78(>7oNCJt35k5I5}Zb6_TijJzz7e_SSFkz1*UFpnjHN4AWMxD%~qseXGm9AN4
zkiDn+S?p&uv^KcUedZ(`AI}~M{Agzmf1f{V?DVGM!#U088C&TndL{7H)Ur8*P4ESX
z-=^Y<2itbo@Y9j}BlIqRtp(IsH>WDDq+!Z~nLkx&8i>ZrJaqw<u&*%Z)}k>DOEYhe
z3XG{^H2&4zCd7gj^=s@Tyl8mxT=44=qB=&1nyx#0l?6vvG<;zD(U2wc^3)QYhG$j7
zdo&E$kiuYOeRiSY8Ay+DRHb5J(V3pLm2B9a@aY7X3Jq^)bpJTBigS*7Qj0tJ0h~fy
z2y!D-966!;+GAK1_bDq}Ij#%PetM3)A(e`>Lrz&%msHT}yhn<R3xL+Q@?;MgD$bRS
zT8iyfMuoZFH%prU*57)@g0pH!>dEa?Fec+0*8#uKtpH}E6CwG$YN)1YQ|Cic#NcvU
z=A;jRY0s@^<ed~WnQGwOHYSJhav9A=jsV*4W>-GBr;5%GBOJH)%V6;49zhcwfaALF
z-WLj}qHpe%xc%RxQD<Y;_IW`7H6dnE+y)igv22*yYDUCcU7wy&+Szbp#O=OIp)xiZ
zZe(6-AYksv*lMF7Hl&`t`up-I8QYIb!p{&%?3Ou4w_0XF)yDks2~9Gxp4GR=t(U+I
zIU7C43>H+c(-qh^tBBQ(XD(##6vx*mB5%k`v7q_8bamS$1x#1!y}48=hA+n)ncE61
zVdiCL`;)Em7)vYNpQ<Q^!b<rYQe-W`Hl0c1*OSBE6Ynm_?GwdHxyP>`7g)fhKa1!q
zC5uGLvA>sQL{M$Wcats20vt3FRxvpo&ypaVw!9;PIT5e&UgVhrxtHKxL?Iz*F2=n7
zo(M_>za3pqGzVM3V0)Ey(m2^`GSs{vf?m33qdoJ@!0wl)g?ug%X?J+u&V-6$P1~X2
zNLe!|U;CAv_d^N~5_eLM@`>T)mq*gnFEF9}&uhZ&Kq=foCzYNE6T>L}LuK#OnXt<#
zWyyJllZ%l(&O(!7SVrw=pRYBA&zLOQmq)+^Z=o$shsBZmrS`U`wx(e3-zt^lPQc$!
zn=hBjNFc9#z`(6x6Chj?eEF6_KyPw<g+R9iP6>AW{=@mN54?E7<u6RY-2=SJky(-$
zCO7UpC2Rt#o_~x_79?Q4+F)Al4g&gXNejHMHU`?#%klw50`9U%4qxjig~Hoop6PoV
z!|#w?lB4zn?3n9zykbej3^QIULmp%3as)eDPOdLkRQ6ZdNTcJtpqpbo1FE7b+^;<&
z;8YeD;nXG)8k<=by$EN(hv#*{Z6;C}`?Kukp+p%hTlMs$k3Iu76r;a;wG;+sZpt{?
zD2sV%TU=q@2!=oM*poT;Z-zdwxptL277pr06CWADiP*mHb3;TN%|6Kd>#u+n)8gGB
z7mXl{b|JMqO&S+=1wE2{qKHW=Ea|TkjiA)@G4Fy43Dust&eu}NI7I&yEfQt~w!_a0
z%9Ler@yq<GoJle&OjY*Y+F=AHLJjY{IXS1d#>Y0gUKuZ5XFW>}FoIL_v40D=<S_sA
z7y9XR6_j6dZLMvD5tQhupX?Ws$JK>|^6KrXSbLD1cO%^h@;{{RV$c-u?o5P}2aAFo
z^vemEH;mvh>c!t#r-&W9!dlDZ)UYeI?(@lyMj%g&SmI4n!gzxCe}QvqSfu*eZZn+$
z_Q!etHUyF}WglV3D2M-!DIfR8#4-Rb1U@_{q>LF!p|*3SG+e%YHr8W=0X`1mYvyh%
zql$q-t#p_=T9qiA6y3n#KW|h}%MKN6^kEj*XlUTJzx@fh1IBPcucAYc!~X*pzl^K(
zYhb{QfTI07O<<3N=i`?gZmhNqxK0b8W2?@k@K=1MVCLA#oCu&`=V<x!+?RCx@5bI8
z@pYzf?)~2WI~*>x+_tUg($mDHwEI3qVNBS+HPW)ML=B@o(sRSNYog}%n8LSuW^mhR
z%}}Ej6%8i!3h#ty;!~avuMf?e!6|ONNX!4I$m1FQ^|F&D4&`T2W!uf6f8V!zjwBkE
zJ+c?KU!dbsrDvyjwgsGzI^(S!K|@z*;e~%ObkrQ%b9K9yB@{oFwLW@_h8xP+e3hJa
zS=DKbf0tyzrfltG#v2+6B!=qOE~{g4Y+i1~0~R<YKY8+SiZi!~4Hf26$DDr8iTeR;
zD0=<skku#+dG|QaNsUwSKi)n5Z-21i;^&FGzISQZTkqB5eO(QwZ|A1T8v;yIv$PWq
z({P-p^pD|o3KB2g+p=pLKxp>2q7Hc)dMxcIj}uhIz6k&84T%7k+O(9vU8CY7F}dGT
zH<Zzm|GW8E9)PouY^bdg6+cw#LF^_nW;PcG%A5z-suTJxJ5deyd^oHqte}V)1a{1i
zvj7XK%P!Lc6dd~=bedcyhugmJ9kxybILGL}bVr_oek9R<bsJ^ylOJoDya&MI(<4K-
zO{!?b(3Sbll1BN4f;Qyj1tVeQIgwK;X!hh|Lf$4R<oOUUzf&HdCeG7Aze5=}Rgtf_
zR7>K4_dEXF>Ssftg(vOS5*e$GE)8~AN+9S_T+6nxL1+1$k^_T`LVb5t4OWR`-sMg2
zzJ6lCvb}-k*^i32rc!6mVQw*;$dSE#ZYK+b_Wg6pj!;0;V6h6<5E1OlbpM<>W(kA!
zVwt@n9R6F3*aYhdqxK~!Q-@8KAkMhK!`CW{x7$Y^7r6-`*V*g!#=REsQFZLR6{q(v
zAN%-GxLFXp&boh(wzGh#@}HT@AtbDGULj6AB#4b7hkgq-nu7@M%~z&7r7>!(oG)sh
zAX+#yGH&XdL&{UNug7ADNTEOC$uAeg^`p-~y21?NHojRVRZ3yPq!~{dQ3xaTFW7WY
z%;4ym-7nt%Cg9hqI$wIN5dLUTm@>J<ggPs0_j4NwD6oCv9yLxFi|>tGe4@ex#-1!n
z@1P{+U*u*@g^S=X^#{TuWv0+{B~WHMR1*IaYIt0BTohYMCKj4>OySh`xXu1@l4w2Z
zGep`UhN4l?muv2tz{EO#?!%)JSfTg6J4r$uB|Bn|{&hBi_0`$mPBlxQ<r6%2wx83}
zlWtXheP;|8t6P^PZc5;<wGR%<T$aF|y$-7$Mj1m$UHXf_MhW!#u!XpsB#GQ!>*xAO
z#;~X0svrML2}~MY!3aD+KrSn8qrfHx94GDWOcR#G&DZz*%RMB8bViZ(^PLPx=9=h8
z^_0Z>26yy6r4z9(W=+;n5(Bo!az)*_A&DxL+Xn7eOXK@%R@uEzjiA->XW%<!0@l_L
z_MiDk!unVK#^xuDK%{#AiQX#&{CqcIYm=@l8m7<2usw`mWZX9()KUt^I+UhTPROCn
z>?_aRDn{@wdHz??XDLkgJ8dPiAdgon#`k;88$zn7)+3jzM0BOOChUw>#FXaXp2`=7
zpz5vnEHFwMA1;d~X7Q1+wC8m><$)oL6h}#QZ6V>}5~9;fGQRDvBPTT&g2-z5mG<5;
zC|OyW>QSeR%pWGh1$Pah_{FvT>Dy%yvlRv2=BuFV{D-@?orX{?U*SfMmqUfM-EH^d
zRgq~fx+mzpAxsSI%H3Qoj|nsKBFSMC9CEm-_g=^d4&S5Ltog2h_p3yD7+X2~Z{V3I
zurmVpZ4xVMSxV?sm-9Jd9TlsSp3Q9H>`!^kB=77RGTt_mY;$MR@cN|0sn?&3K$Gfp
zY%iBG{_(QX-leXNiPM{&S91JF#9&bWNTV`NFISb^=F>otr;WeJPdOemcky|`Ar<Tz
z#kPCH8c5+%$+h+~h8kP`l~;^ZakSW@IFZxaLz#UC8<&hBI{AR_%^#}xb2>J<)?5?i
zfB&7tN)zxKbNAFJr{F5OlJny>P24R}9=jsc6r}C=*RwaPVFLLF(}t>rFOTh4&NgL2
z;H$IdliXAsI%_L4;;)4l1Ekk}5H$lcm1i2$B~;W%IPi06j~1$pbv^C*W(Fbr&EDKv
zG^B-FyNx+%q46z7Ra&1pw2!Sf9pL0&YtU^4`58@Ax%fc-(Jc!wHduGcnok|+0_^IC
zftqOGul{W!+Y(CBf4+)br;hOjjia4c=$I>6n@0*@fg)d`Gf$j4E^e5Oo~hM9KGyS&
zY;`tNT5pI~JE@M}LO&J$$ydh#>Ee&CUa-NwIXJ87s5<5=_)Ob*((ps)pHe<EfL*#3
zRx$1zzp`b9)csOJp^x)ED~|x+=Vga+UUh7yuYV<bl!DIN%Hr?+2k_5Ea+TY88s@$(
zx!AF+f~A$aB8qwd%GPVn_Q-Pl;>&y|_Yq}0yx#P7;uwH~(otdhQ7WE}<ryH)D<R|d
z)|TE+0HipXuxmYPSl(zK9wV!O_VN=cYu*8;w_mEA5mLkU%Ge<Yl*Q)1^+kj(0G^QD
zmY*y+UTQzz*z#T)6RjMAV#)#fbW^TH1gc`rpq}gIVkxx3J6o6I0K6Q^)&-?<yx^d*
z<)u7HjGB%-EawW4x|*wW$5mw%2`qYdrcWHZHz}HKkO0`PD{$y;CmA<p(c1;x#L(|z
zFcQnyP`rc1YJ9DPfAe+8W&{x|XTRP;RAPhDO!smPLlGHCWgB%@31NzY#lwjl7A)Sr
z6_I~I9xp2x`t$_}phekuYU&CWaOZ6P@rEpiZnIm(e(A2pYO`y71)-K;mnH40-5`VS
zSJ=0%^ybIe^^LcahAcobPW$O$4*zpEKYVnspAVZKU2fZD&B=v53XKv>X*5?=_G1<B
zVXR$ZDWl39w&!x6Y*XR%OvMdHeqQ3k8I4rYayfG#eo*@FmAVvu&BOx&pZV}KVUMxz
z2{TyL*0Xto3juxAhKoOK<Hw}D_~fo-CM=w2+cR)n5(Uar96kxG#-~vy!h9l`u=&4|
z*}?Y`=qNEOw)yR9oSC<=*f?bh?N!=~Wj+$vSE8PIbXWjme8T4?gH7S7+xgL$PvU5G
zUu!aSRuE|`=*b-uCQvHxReLN;9F?yYXYd#cqqOGVpVz}oV5xP|ZDOrBPJj25dUHku
zg;JSY|NSwBg}V5n*EDf_Ypyt%Cm@EGvJI?%B^$%k&?@2cL~&egX+?eWLJaSawG%ry
z{6D%Q?ATE`aV*kn7khU{9Pdi|G4Iqc;33iV$!CT*e)PNAHg#13W%zYA3c4}iO-0v>
zje+7w*WAc=^r|GX_0Jj#Pa6S$hsa1sxj3$?NPek(hk(7!LVqL*jiC7Ht;oKW5_rp!
z^04fs6fP?GQDU4pz5SGIm1md)iUl~0ToRQ=_kaB>YyTO7kx|{=m)|5X<qb*xwKoY1
zNcIATO@?68-_YpE$*r3Qbn;i$%3xlooO^ttA!r|aL+#Ndp#9<HV-*xRbUG9@Xt2%@
zw$9R>ygn1~-hZtg4iy}~XxdOZLp6lm{5*1e4N|BbIe%TuP7!ww&E1RQGlYyDFU9#{
zB5M5<9RK-C3A=x~<>t;9z^)HhbuIFxag*~p*XGw`q+EG8uRLJ@3bVCCPfAI+rdsmS
zn@(jcdF`bqF=YUJNnU?4AIc#2ftA|`%_=A)_xnr0k^v+<I(c1xNf!0@*2UR0s^Sl;
zXRp=d3}KD`u0SI@c~l-9Xnfa9!QQJ~J9au5LTBfoSjPngj8+>A9C@gQuh+A=%+n0v
z(b2JnCSfHU32!@A)l0>Fg`&i(!-jAm%l*Bj9T^9-<(^2rpy6&tV@!d$5fpjGcJ38W
z#&ahc)tRr=@iTLBV36Y}qID4z=>cWb>0PF04rt)kv^yI<nlr$7vqnq&WfhE4^D=wY
zLPr}h4ZnpK47e=@qUR!2arkw_@pWf3v9F%pI(WhuT2%>Iv(^;MKHvSfXss4r-tb|t
zZk-8SExoAUD58d2M!V`2K5OBLfG@>5G*dVj;NVsNObs2+eQ(k5(MIOoid%}pOsIeQ
zBR%LO6-|`=oBay3vB@s`WYIq+9Ct{k@tV^xFkiKew@e%BlQTNMEto<5;C{y&12i;9
zyg|!}(#FoPNb!pc<`DVu-iKqG)G-d-So31qI83`6pEqv-uf7c2?P^!YYk7jndLdd^
zQ1EBH<%}iNdz4qJ6ErZdMD|_qaZN1ZI)3}fTNZ@(614lQHE_Lgc`JJ_9koi_O7a@m
zP_9^RU$a&N=j3-~RH$&Ci;lk6SR8JvW>a#Q8u%&o%W&I&G+g_Fc%c3iN8|E@PMfUI
zz~7zYt?mRWid(8>>JI@Z>2;RuE>%bJv}Zc(q+mMBBjJ;P71UfZYX3%4$G^W1alNlr
z!7GZ_AFR=~0!r%wPk1H`7w;UVZ<r_JC9zL_M_5*1Nqj)vGEBubgSminMV#LK?}-JG
zZ3W?XOxv4<sQ6u}`CM4296s>#DzMeFf(xvG%6T0%ToxleOO7O=z)Y&_F-a?snAvAk
zYD2-*kG4_IHA*2<S+*y062N~;$D_4tRdG`5{!o*PB*st1onq7j@a@R@u*FLSm%d&8
zk-_0j0#E%7w`hQnuzhJ`zRGya`9|~35)o9Bez`8s6rfb>k!eB@8NJvZD&xllF)i?U
zhT|w3j8}G^?wL}=tZ?3kJLmZEI#FNdffE~2Xy1a5Dk|VF>ZL-nAH1lLU^^y!ods!m
ziiW#_<T(8*GD~sWDr8H2uhkRg%-#K)KXl08kE>hURoFZ@i>bpeLM*}HU1WEt9SI}C
ziWAqwaU<I<XKZ^HCl}(+)KrcTv9~IygDlC7zdjk;ztOOO9X@<b7Ye0tcF}nK_Zcp1
zmv^vJJYfzyt0t0fL=y04zr&z3fg3gJZhCiddP{BZe8STZNql^yJ4rQ+8~Z0^Vz+vl
zK^KF_m6<4kV;c(v`{ub(Yk<yRwJ>4DbG>0ky*Qq}e$`z31`qm8H;CTQVuEevxcdiw
zapZm)Q8s^a6-G;J{4`T+3fv+~p{EauVNbj6Tul})_E!{58A_T$(p-6@?_W_2>e<!k
zUBid(f=M@uGfd#7*7coC8&Nc2Pn`PxjUONBEpPV{FaeQAZ2NN!BG|dt%-z~q06YBl
z?o7%shSg%W^@&?W@S2$YyGN~p7`tsL#zoQ?A~ru#CmM?2$Dx@W1)joq%`E)*@OcI#
zxW3S>GY~;PxXbUzD~hQR{(2jA8PI;dQhdQz1P^QvDGb{!hD#ra&Rp$A@G&a-O>>P1
zE@m~0ZQUl0A=_iui1{1A&9V3}C2di(Hk~)@*(HIsotBNAD~#aE_r#*8K2dCVQF#1j
zf+W^G@ym_AY6#z#evQ>}dd3H@BYo1>38>EZZ|s<dA+*)l|J>CnhM5H+bmEj0$|!E~
zapN}xmZ(6^h^IJGANC#YWJ{xjoY}v1_YHtcPW~(W5yzaFy_c-YNvN0pY?+v10L%uq
z$b(7=yqWQm7Ox?TCo}f>TCO($ITuBRx`UFqbdp}UwN(yP*mqkFs2M=gk&730dlGOV
zd~-l5$7_AuE-s~VbH0DRG=}XYg{flpeqLruC|G=Q+lDE9cx&z+lkQGL?L&cX<C$c<
zl98YIbVMJ#x;yB(5z^@7awhv`x-xP#RoM%T>BE*Fm4@^(623D(5zTX21#8vMkLXS7
z!&OTA&B$pP46A(mW%3HgJ7f}^qC^dVWF+V;=Prj`A$`vOS}E9K9C1&dWdJK~{*+tU
zDUU?gRjO{|YWSnK>3nsZ0bCKe5^C+Ph~cFdrrE-rep<If-=W_CE_i!MC4N`Jz=G6*
zL}PWdGpY)-G&6*k_gp<c^^mdu_}k>)z8V<e<pOo}hH$;_-nh+mWjy({&8aAwj^W|-
zptCNVe6i2wQ^`?5zV50Gxfz;xZ2eT{ky#^H|9zy-_pmC)ZHix{9@oO7X&dLF?l6G=
z>IrQxe+vFqNho*`tc}Oqj|a=-7=saC3(VN5p_uA|-esx|at|NkQ#@({UO68%3e>3B
z{U_JbxLyaZjVGsu#+yRp=}aE0MJm<|y2$L5)I}G=PjcULm;iSL{w1{0u!$8UQE8})
z(hR?u)M_(Oo&8*2cTgRp{+n#A5!XdvbSe^`o5LQ;n39U525t;L&ozBb2ity3+|S|U
zh`-R?CY{q7_{d{$rOO{})EU(QYZ(?$q?<D?&S+po*2J0p%UW2Heqm5piw%ExG<e==
z(~&ikc$?j#iR=L_;k{A-tKuVLXx4PR<9e{P*oKZJ`bGR{sQ^)GYhoXB-Y02HD*NQB
zqkG!9o`?y6lG?l7>waip!PNW3#3m}vd^ezdGqr*x#pef;(mChxR_V>HZVHN9e2Pli
z&*Ax`q+9r3j*n>Wp^|!4@J7J46PZO;V2&(3r?u*6#&>@-d4P<XVhKfNRaT(O+(b4`
zpyAp5Lqbl^6fl^q9(3@!6)1bGjv^IM@xs#=f75hivEt`~T1TN3n3>*hus^4UgvCz_
z<4=g_@IKj1<**f)hD;YYWOI5<1J$6gNfOUH77DaDSb-KR$nw+?RkULHsF7BQW7LWA
zhhGG(V1Jb67jJ(R?7Y+6KIbNk5^io;lMey5XWSdxXs?X!)49!&j;oRUugYnV<5{UD
z9Y)=HWE3LupKkxY3SU*ZYUgMGn6K(LO1D?U$sL)}6HIQb@;~N#sGJSs_j<CztmM({
zUZt9b%u1ZyEsz(m$O8SKf9{iBvUup?cxKnq-<E78y{BXs7R-^~<Q_;TA?s<#SDo6W
z7Tf5>m!XB0aO9Ll?BTaW%#MycWn{M4^7g-79+xLA;G8$fXOD*zR*Ao_4&JxW;-*)1
z^pS-H^d0yz!1GlSR~L*^Cao7*0!+iJN^;Dh)nhZo`I-clztIkPkh{>bEP0ArGhqf!
zv7*fOWN}=j^tfBuW3ffx?p^_3J2UVv*}^J3CWf8gF0@#OFSP`eRm*=YWkQ^vg`|sv
zDE<!s0RR6Cmv=bTZ5V(#_U70#n`54HI5y`wRv{EELK!7O8Oi7~LJ>s~4Xa2pqGYA~
zUZs-Ch_WR@GD0Hz^Y42-*Y&*D`^SCX@9@FwP}hM??2&EExky%hICy`mLFqLY5}x#H
z_qno-?bh&gH#n;YHW`K6v*DabV@>Bu;Bz`u%60yU?w~FtaP!<KKgEHVo-_@cw$dXh
z+1o7__v%7j=LBz53Olk(cYAqh5r>+Hsb$JdI$-pDne*l-8*=|}QhlAoh|*&1oplU!
zz}ST#diWF@`tuBTTqcnT4g2=qcwS2ZgipKeCC-LEixFbv{xYMXJwAKi=~KYs7aM)S
zDl39JW9MInvm&CS=5!F!h6<H3aWi^0bSts;y0S1kI>Sll+GnE;zfx1?n~7|wZclF&
zTRR7O>vK<Ca!?DVUH+?Fy~KvJ<vhFH3%C%cqg~;tKrLVkea^?oz>ezsgEe9@dC;+S
z-<3HIEl?NS@Hkw^j!yiP{~Gay7b!`G<<FLq!B<Wyx!RWl9sX+^(!9WjOdoIel<y~l
z@XusHwL_dJfcXjgO&NalfUHQpv`K>B?Jo}TdUK(oKtEjYNdXl4De(DV1qnb6m$#O~
zjesg%KiwpVs`>|`lzm80^q-RpTIWH*0t~HJD8gu~ki&k7Kmz9a)`%L!i@dYX`M19k
zK~aC$M@JTkklxatC~=DqJ+>RR-*s9HeJ$@g`LLM?$_^hFv3NX^nLDIeqbY$>KOEqZ
z$S1<~cMC?R%lzn1f=JYLJ}GoU+3F(k5)tm~+jaMTz5vRjkaJ5}rIGFFafapdL?GQ9
zQ`pxjh~yVsbM6Yupj!)de0iZnuzSMhLN6waqM8G7o)lR`>U9&0i6g>Sf~JL5qzKAR
z?mBzQT@Lv+XIF9W>}6m&C9m;U6!{+`9k_W%9+g{kiGBM-gtFrOlfN&EBmAD6VZCn(
z2&t@J&E+P+kwbA^cr8h!w;v<@R8vB=cG>3aUL;6+rEskBuM}c;yFcv`ql}gbLwCNn
zlVChNLSNcj8s)PL5)OPJ08v1$zo7DG=VCuQlA&wtzX=0Z8Pp!`t{SMQilmq3$j27Q
z(CdFZFy*K$QsZEuQ}$Ow3MK{ry?CSruHj=Z7LLiGDk~%IntSTVuch-+@qgNoQ?Vgj
z=`D{+ZXWQ_Y|ubHi7X=q{uDTwdQ8sei~_3k`jT5*p^0#fDTK=NI)JV<B?ty9B2VR?
za;64E)bc3alyX-WQZzEd*aDPL0WEkiB$|jgHPTq>y7d67_)23ws*IY#hPbuv6Op>k
z#n?By3_xt8O#i4h0VU-2hxX+VQAOSKov2Vlm~g%`AiP9C@i-Ip)&L@kNm{in>okG}
z2H!-x3>B0(*I7D<CnBTqX2CUO6KHm|kv+kqik|D(TSoJ1BH^nwb4P-ya80oEyZ>=j
zWXaLreZE8;J#ZDYf9(ih;`omo6Q_#E7q36Nv8ambLPo0&4FlM($i8C<RYeu5@rgYv
z1ax7K%E$PFG<b5mVt89e6+PWm+g$!$38_1rHm26lAbddXD*l}cYQgR$His*qN7>r3
z7q@887VuOuOIZckP%`ow#pF<H2tQYlx+z#S2%DZcMnJ;7yUIEnr4dd3{Q5yNQ>eER
zb$oYL84b+Tsq@ZCAZyPVvkSDH^LI}lG<hf?^S$bIS$QJp^wDD^Mio;iy6h+*Y@~=L
zA&?`#L;#t7l1a|lrhx}63e++vpnU7+^>q?_NTb-@!{QAMYzFBq&LTN9v;Icr<vIsK
zvO0^bQ8YL>dGFK1Fj;h=`<7#LJ~QguETMI)(I6}}Q&5g9gXWC=1#ZjY5QP#UZ{H2@
zT(NkgWo#GnwK5dEGrfW7J{wDJ2?c1VI&o7gOcJGZ?++8guV8E<xyBko09$i`qhw`q
zG#ch@_$O@<JD!*&BXNofZN2#mU;l}qi{mcOE?k(ycC%~g85Wp8K}_WEvsoc@j*IT;
zqme0$5cWbM`I|9x42ss_*#yyb$`;XUdjgwKXI*oVGKSGMV;zyb{D|H@_L6SeI3{v?
zRO9Y(BY19iWH((cA8OO8Y|U^O$Bg2Vl17RQ;ib`5(H<*a6#g)Jzbp3y*6h~ln6h91
zua^!SXkg$*2OWO>_bq)A3(Jk}{|p8&e~vNaVj~BVuIx}g*D!_I;(sN#X6OUw8C^*y
zY=_TtCb2)gW-w>VRQAwWJ#dH!v2(()B3jq<;PcSmShsyb`3Gw~(8}7K6dcEl)c0@2
zR0b?yj^%c9&&zaSK7p+y!-NTa(m5tTv-pFp2%az`^6NsOS$_FzO-95Md0R-v;4fC3
z6PYC(r2{dVeNlRj4CvRG(UPt83bvd0?5Nu;1%eXoNBkb__{l<5*gIquQ;50gzI2=d
z$LjxuD$C)}=DxRL0d?!x7p=ATAA5H^(o^_7@jX3~Fonx$!dqA{O*(1#fHr7l6g+0m
zq(```w&t5wbVzt_>KFMhTCiWN=EwO<^eCC9WbVi<dX&1HmYV0Z!xIJ0dfwagXp<7e
z`QjfA9bFKA;y6kMiBqzR9v|tEm8N`wlRqPRduhGX<_sB#GG51AcHxl3JmbIee@y5h
z*uK9-M~056>$T?BacCpOyXAZi3o4%I40gyQfwu~$M1u?i`e>i8Q{~2nTK+XYxJ4uZ
zQ^&GjRR;sQp&T`Jlgfeaz<+ib?L^qW+bt<Lml3^~uKAj5#)W9j1KnZ4L~vEhzLb{C
zgqGw)m9ztR&{}@{(*%hf&SyXBpT5P6E^#WgKK{;&9C$95@@8tnK8pT{%6BXXrzrI%
zMh=gj&;{Ikv84gOB`V1FqHKtKT{}BBiXTl&s@4Av)&L2cyr#%hb`<J%`lH-m0Tj=;
z;8(q@4kpYwQA%o@Xhqm9pOhqo;JD5c>qK=phVb|c3tZ?;U4zxQkq9#URw1dNq7KjN
zy0^Q&^Pq1c&kk7Q#n4^1pciXHYVaZMLuBtZFDhSk4Bf*aft0TJJGVYigHw-r5_=T!
zD5x|zC7B?F%s07(e#EIk$AQ8veQ$pBtSsJytSgPiRQMVfBGf=)f%(SXR|3d{PrhlN
zzYMake{gu~sv7)JKYDMsz7PuAVkc|V$|8ftw(dxz1_aM6N#jq#$bd8KuA6{7a$s%G
zwGdJVU59)1^wFZIPTSG4H%<Xj%G$(p)79ZFx|YXlFOJ%iTAW)Ll+Zv_RI|LX2AEj9
z*f?b@iTsN1oO8dfjC>jku_j?nnAcNS^s?H8w)*XEJ=o!8+lBE;ng9_(u;4$<b<!y8
zcFi7*W>rM@Tdhg^IT1qp)59P2$smVxvEmgMb=2^A)sicQ1cwr2Gb5Sgka|uPM){?I
zY735sVBTa1qR+aLr7w>nG6k6Ph(uI-KmS60kQM~9DXK&VDIlvAJ*M~lL?r7L)+BmQ
z8@vPGMl_cyB9Rl^wJCli#5<yK!(ovE;(-kvTi=wBV%jcy+hGz){73cc@zjM=?R-=1
ztOR5#FX?KcOh%DS3ty}j^x#8i{qrp;6~x!wM42`vqmu!4i%J;=5SaIBq)bc|m6kZZ
z`=&%js(GBrFU^dg$B=CH=#MJ;FeuG`;xh?_+s%Eo|7#3)(*t{l@2MfzigzLgKtda7
znuN4$Drj~NSoBG%qbp_)i&TP$=#9Wcfodi|hZ1kTqq{na5j(^8u2%!CZZuQcY-n(i
zZf+WRtD{<C0=3Ie4c!o$NVb@wfv{zIXM=`1n%k4Wzpt8rG8nDTzVk7KK>hokdu!BC
zS*Z@A(FaB3(Zu5{&}s_e!(-%sbZST~WbAADdpTr6bBcJzY6helqWW!qRdjIZD#LoK
zG&(R8Sh=ZS27`?U8R`ELkb%T$oNBu`a$gA{|By3-?sG+Tq2<cx`{QBU>ytw0)X&RI
z_nFL~t-mNy+ENJ#IU1Q<h~Pt!m$lLEc2juJsZH{4Q9#PM(aRYI>?rBtl96?SDF`VP
zC8rq6ql`EEr~Xyo(2s|=FG#AHLb`KnH14r13RRLM4wd}FZnQZ}PrRdnr0;(*PBJn`
z7gxH-e|`qbjkbJY?Lvd6YzyvFhPx0hdjIKXH+rx$H(6U9W&q#~kHyA*2_$ki;X&-a
z`&5hR4td`QfF$-cd{2rfdgJx9@@oDUYTx&4b#GPx*}iR>;-V1J6QfkrRDY-b4mfh(
zNRtY4nR@qbCJ3N6do9YOY$vEgRlC_2_M1RoLcXe~6&_XHp~QqUPEkFbUh@h>7=y)$
z-a0*FUZmTw&hyat7nKt?5MWnq1W^|~_dR{ZiIj13R#$C*Q3t%_%4Y@*q1SIid)u20
z$&+VkIv1v>4aJ!=>%xX0VBS?HdXgE9j0+{EGX10)r~H;b?qmS6$8C~FY8g=M#ezKv
zViQ!6pw7G>`T9T{IH+EDm>xa!P<^v|bd0+4oS|a(oE|JNSNZfrZDB4Pt3$UVzf-j(
zuIHQ5^q}Zj-H}6|*DzjoLoKC^A?g}G!{D{sx)62zCF;*v!46%ke|2lQm)dA^=l9QL
z9Vj1~o*DnLgsn+XPJP<$qLv14tKpq=Ae`c*di~5IR`dCZ{>=V1YNNoseJ4hN+}y&r
z(&O`3P0UR~(rPoc!#6f*QH26?`cDG0sI!=LM(jH_hB_*~<T`Qp9c}pJ>#6^A&o3;D
z*>jlA`!4lo_j9ucT-s2bVO%NpX%ef<m==hTD!{(U{OFsA*8;DH%`@K{$1%&l^Y_2(
zuE#dYlG3NPce<K--L;tS2ZqU6U@=<Fn2n#L@U^HNf8joxUwJ-?z2(5~3yJ@LH9W1(
zson7xYxf)nTjh6*`_4+gi(@DD_3E$dHkU{sbSZ6lacTs!3$Zxa_N5!E349GC9uhqI
zNbs_DAHhx&9<fzA^kO_8WA5(1yYr7wTuxBu9l;DP7idLw4PeC#>8x2QM0mx(=p8lo
z4P%SY7~XXMhB21^iR%y71lPrjhxu?L80T_lj9C14jH#wC>SCb=D6a<Y;WHV*s?K%t
z=$snEWI1OJ;=ZVZVnvi`Xu$~f@os&=U5{~0dWpVKk3$^-(KDH+#P3+^aChOWut{wD
z<>h|n-D*%9d)W8KkM9`Y1PhmQ<rJ0~m*uiAQ56J)&);juMllzMp0)!#Gg#-~^Q!eW
z6^Lai{@u|uhRu(2sQtS;ht(Qi*}o{J0=DA_*FXIOb2jZ5KlgYZi<vUO$@mfA`Mx1(
zf9eEQI%rk*Ky4ADe<k7?_DUIwD;eGHHcn#w3F*?VAOB#cvUB@pC6&QHQDuVBZwi}<
z=K9!h{V$fO7uOjcr341T`|Jj+r?D6R)mIqAu3&<)Rb`St6rpg>*vPosEXI<$v{sw9
zij9uRrGB$h1e3O#{g=yrV-Z<CZE=h1n1x1yX<MTLB!7Hp=_Rp%<qLQ{@sHlZy!yRK
zIBf;!l-Yj#IDQe+s?Ip-Q$&ZF$_`TV9?Qew&>QcZ@k<z+p}oXcA`Xc%eq-*@kcTt5
zDx(bV|6==Oj)k|6GN1=i(>JD{$-$NOn6%2W6>Kv`VpjrULW&39l#yw2aGieXSAWwg
zW_}<$G`WohrBA94iFV5ZgX552IM)XD=O$13C?7le!Xsg>8XyY?Dz0j?-rT|z$g1)i
zshr4J_5E3XURemCuxMIU(4l`Pd|zR9JjfxX!>9PU47h4;Tz1vNAxC}8(NcvE8Gknx
zUks3eusnq>k0}OJSe5!#yc>_)o?JPhtsw*a^LvEs-ZG&G@VO9MEP$5vk~r2^rQu`*
zF~O&c1;M$Z&$~;7&|WM47fRjIz}mT`aX^qA?Qx=R9v=}wVINjc<1lGhS}^=?D~%J?
z&PQ2)v=K+zd$OeWzLbVn`OC`pZFo>d#M`6i7bKC{4wnvmmWJ8>t~n<KKJ;%Wl`Y9v
z8ntPQx%1#;Ak%hTa^gK6aozR4{c}SG4GK%hkoL<!Ec@_7(@X*Mr4t{-^+XPR`Bc4R
z_C^NOtbP6DuL>chl+mxrmlaT72Re?tWTEiPSUl4c5p-UZgNZLj30>LG^;S|>4(JUh
zot7EIkwukB7Rzk{s(vda*lR8ixn^25$1Y2vZcUbZitVb1H2V3LN0tIaU%i#tCn=5C
z%M+5PB{Y!KO(pM5Jtc^0ar?%QCWGukPRr376A?*Tn{Zs40ADUVW#|-<Lp=k&84ms=
z<m{4uT_r;m#y-CP`>a|Xowv^<#AT5YzEh0C?x6t|Xk+D(hawsw5x$*yqJ`MM`0F%(
zCc<SJr^C3YGLqDmp)Yx?jaW|pTs3||hOgC~7MWcH#L(CEy(ET$hOCsn-Ta^p@%1Vz
zFB4P|cmJJ$Q^GpvXz-nbijukzTuGcH%d4Z^k2_;MJ#>%_8^2{nwm$6Qur>OTuYnXF
zA57JA&_P`{A7zpZjUdx#nKxiY6B!6jY-IOS&~U80<=-DBFzDK*5*JBCCl_?TB`s+q
z=a4tP4-mkV-}`{UULvY?asQ~2uZ6rnB)srnqd|%_`Ti6O2?YuHCG$*>&~tNUTM4`w
zaFOjb6&ZJWOTaeI`LQPYkywdcTsH%|Rky3bABd=gbs%y<NEJoq@w&y7n*;IjlN?_+
zA~No`oQyG1ME>F=9Vs~rI4V+ttB%n`mZuKVWgnA4ocGdhZy&XQzgA3iKWEiZTtU`;
z`QxI9e>q+b?_vR^SP|g_zZ&|wg}pbZ<wf^usyK60EFjqFk}(aZf_&LaCtVnD$b&WM
z%-;@k81TAJ)%>W0Dmmpl+u6pj*D*@<N>1ir`ImNwcu@g0ze?IW%{oO*9DZTY^U)0a
z`z5lowB%61m!RBz)Gg{|29D$Bwaq{>ZwyY&N~6?E$`Tb!%%Gb*ZT=(E6dXIR70ZN3
zA}wJCi)<|pc*bQOXtPR#lCV$9ou;D5f+tU*Z;l(<t;U%59;3lo3!jA7`vuWLbAFOw
zBQNxoygo<y0DwCfJ74&a4;hv9y?=U@4=#CVckeR+h#ac^w|j>dFP-0WU&Y~}a5BQi
zK8OnaW?y^FyqJ+^mVCpYHXgQxWk1KBHvuK#o|WoWI<)Jwqji@a9w4YVvLM+QdS7VZ
z$Iq`|lQx9GUs8Cud^A1!b-58J$%iz=zL>!VDka_>Ug86z;dY1jJAH!t{dJYAqZfNP
z=TaO0nhzo?J)dRn^vROSb<>tlPpI#g=7N$l_#j>Nbc2Me0nB-{eB~<}rdAezTfOhk
z2f}vhx4p~s;V^f}JcHOYRmr_$DcX?_)cy>z7c%O@k;5w2T6-6%PfrMs6<P5?W6U2+
z`h*_58auM>S+GJ4vE^>Bbl`&%G0o1lpLD^_d8@CCZi9N-J?B^4Sw4tQOC;7A=|b2|
zhu&OzI$)k6KZq^lgE0m56pkt#uzZ&ur!h<q$*Z<arN8;$R#)L~cA^frd!<Ly<uZT<
zKmGeA2RtnDh~%VIQQ$M(q?i95CMfDi;yKcW2X04=)MR4{3|`rHSo;Sv)XJJ0PI>Ud
z$)j!yo1e5{wIG7)(s@?s`86jy#w!4oynDnqytDzIquk5O$__Uzda^5e1z_x3J6jn}
z8@|so^l;wg09_e{n)>I0@Y(#Ijm1MP(B0&$+)d$vT}SE)&eRHlbMnhWe2!W`^CTE*
z4sgTUaNTTLyD->NkC6PBwV<NG-_d^$FSH$~D$T)(LPxl}&zmMPJXFc-VpZn@C-;z$
zpZmq&SW&s*y#z8y(dzFjOX9)VFT5t`r8s!quIs<;Kn5i~j-``g{Gc}c_V{TFN!W9+
zy!tqS43}Iv`1KV9;2`_e;ZIXi5LCK+2V*CLy((>Oh9(G(w0L>NgVNAGAA0Hb3JLn|
zstyze2mzD$K!%u^3|RZT9Qrj+g3(P;=Y8eEFnoq$sbV4voB2&2T6X5a*3h(IO9Ui6
z(-luy$U!cHy7MtEGQ4@@^B<e17<_F#I~#pi9(=OtJ7>vcIJ73JdaGX?`tMxh%@0z5
zk1jqP$cGFoCX}{yFG;9%5xd}#p$JkOYnKRBWLR4JT;oZ<3+kATX;;@P!Ck)r*Fat^
zc#&RlnQ~YfG$!?On}?O5^OSky`-@sIw|YRCjv@m-LmVShTLd^4ua!;V(1!bUe^iS^
zWFh_g>WzE>Rd{IY&Jk3i4XXVQ&)L$+L5Ckx!(~x5@C~n<?><g}fe6jif+@M3E?Z9y
zVpfM?Huf=94IPM1sy)=xDG$^TYSGm$b%+j|zm~<P3vBc9>si$bFw}WsDmzRAkcPS2
zDK<S=Uw;PT*A-z&Kkv+eSq<>~UZ6$CuMb%{?aOM%mEb5VTii#2CKv>G**2;efJ8{O
zf|ZmqC{Ojfaw=&8j9X8y*%(4L<!M#ZTV<dW3EjN^O#>Y5TbM-xjew3dlK1xk0zCD5
zI$^X=1DGs%HcQftA#!nb#;2J8c+7HMEleH$_^0kiWhQX1HSUl#p9-Mhp3pZ=YB2D%
zWI(5y3iviV25&tT;JV{@|GzaAkjvXH6?6o6&o`TOO;-gjQO(0Xc@Usvb@|D&7XShc
zt})NJRDijIClci-L4g*R;V%Iico-i4!qGqg!sWo9mURk{I_&>w$cY9Iv?d>N(g^Ty
z@F$xSk^@nlv}*}hXrTIdu*l=SGOQU6m9aF-fbb0?md8aj;0bS;dONBFr7>}V8uxaA
zAjA0j^kdr2y)J6JXWn@?Z&k+VF>z45HftPHNQ1_gd1=@972$SxjIf1=2#`MHW@;wU
zz=5gBFNIqH4oKwhWmFRc{2sqn!5wZ3<cKy|Y|6n?r;H*mYdl1j+w2Wjra@*NfxtU1
z3tTR-T5It<(7!D}D4Yavq;r@YYn1`f`_U0?DjYDIBggnA7vRG5@*}+}Y0%>djb4jo
z0qL8AmVNdBg|qE;!)ChxOA1Qf8_NhFtrZBXRJfv6{3k_Q60Vl1{n3%YK{Yr2f~qYQ
znl!$=sWBD@dLg$P8s>B`RV2+ckz)d3Uydfbd5Qx4we#xPU7J*Y)pfs<v&MiMxohlG
zEDWFiwV<H&b?Uf|TQJ4g80tD~XI^p(!3UM5+m}bzs82)!YNM_h0b#IA)h9~;u=n>b
zHu<kneWAr)X4DXRqD$PHO!-0D*tfVnevNw8fxw9L459r^<3<uM9-d#3N%zCAQ<q6-
z_0tUl2=d$n0XjY)H9oEIXWXF5{oT&JJFgG__Am^)@bZGsxcJA%Hk;J(V`=rr9P}Ya
zLA%o?h8yy5QuGr8TU0#q)S=etK@usEDki}NvK)K^&koYTCE3@ij<R~7b>Tm4;{^_o
zY@z-;??ev)dq15kPtyf0$qC(-4R&C?gE1F{;^0@(n2rmBE-at6{4{FF4qIlAG_y(>
zpj>u6$}d6(^sk+69w=o40X+Bb;1xz-tEhII`AdOEXNQ(_t=WK3-kC1y%nW-C{j6rr
zQDAawx5!HYHdxs${D{7r1%BLD?v7d0hF^ZjC!CE9yj_&6)K0R&<-X7}uj91gUtLO0
ziy|9b&?z8r;W@xW-=w;WPa9lXiz^SEW`k&>*Ibc(oG?oX2<<J@0zL1^Rq3y65HR|i
zc(0KgIu7vvpflD2^ZNCUb0^ush~9^P)twivEGu>=^pk<C;mH0+oCA&o=YHY}<pb3_
z{VJvZkzso9N?_bF2LuKGmfy_AgI3j2K$9XFYD147KDx{a>b?VYmc9J&=6>^4rLQEI
z+s~o3B+d<FruShX1VL~vnd;b^LIP%$JQ~X>9^lE-OT*s~g6sq<rYb8EY&P&-c<s*%
z5<N<#5BNnu(Yd;9o|^<meHr3D81jLi`|Nsdg($4!yriBD5@Gj;UdyJP{&0*Qbh7mp
zhrO*V4b4?Vm|1?rb3~XQ;zTnWTMZ@QC8G|;e3J;ww_QT4c6?+-XmT1?-vt~#?&B9?
ziEz6rR)6naL4d!aHS~GXP!h!BZ5=^`kuqfwwktw#;+4yFx*8d1YfF)O7DI%ee@7U(
zMuefj+GZ?nKo-28wna&25<&3vqvSd}QDCw-Kl_+l9;(Jty9Hkm;g`)szv@>pFj<)s
z5wTMMdT+yBI!i>5I~}j087cv<JPO=OvJ~N6RcVPXkf3Bd(otAL3fktR!{dJ{K~Lw|
zz`lDV@O6oKT(q$Z`1wn(^cWFfLZHv!vltm}Ib1vX_qQ~B`j9&GE>#5%MbrH2%gDg%
zMQTd^C9~s|!<mi)s=%F8^YZ5rE!cx}{Yf*j;OF@}&Rj$typH}mbVynoxKlJo&MwM9
zh6#PVmWc*D(EQlv%|L;S6QB8Y*5u(@%IC2{GffDlo^8SCb)dFt;OCod1&}n$cqq$5
z1gcPC604Xln4g<rYur+V=8A>hB6lLBX8Vi1veE;QT?<F07nR`9*RBfI3?jtJ$zBw_
zst=CzuLk|PmEqVM95~-2!fA8&ho6THp!M}Fx{rAT2>&~t6O%xM$CS7#TRkIiWVtG0
zZKnd0x`7W1jfwC-00030{|uLhKh<9x#_b)hot0~Eci8LuxmKhQQVOB6Q<Q!csR)S@
zNh!OGs3e<mk3CwVVPt1z?^XQ#2hTaLbKdXgIlDcvUKnox%LB8#l0AxWd9S64PP`f@
z`h<+A4;z9jqnSRhp%M%|zUdHRr3z%H<sn;cfHE2J&Z;0K&}By+JeA6jc)*)xJriK=
zr2p}WYf5mEP}`)}s|Zd_Vavbq6!^$35j1SC1WLvW*Ouz!LHA-~R9-9v`uc9EKG;-*
zp^t9jJ2zyZaPoLp;{XMwqKy<Eo>zqT4HS<eIcbnglHlswYXr`sq+|Q46yOhj<?WqT
zJd{@+zh9<n1Txe!fnR&&!T+(=!7p>-@IxTQfnaO|`)<<KdG^Xd!D$xbj&NZZbO<!$
z(J+FbLp@O^sj_g(e}&n@QvlBMRhN9_F@nP>tQV8+$v{Lk>6q|K9ynuWRcW=G=YiXS
zu32kom=*N8b*qvSUi6k-dXP#1WN}BDhD{2*QCd99Ul#DcvwS+$h5|EDzx=xD@ZilD
ziKU1$!1Gv*KjbZdtgk7*+OJDM8BYjW5~P6_Y+oWir2`yMtdO3(BMwCjIoT6M8yHn}
z^hg*0M6bG>m{S!6qJG0pW$H2}fY0gYslk9=zU$+qg}qSnmT6P7Z5~S(TUrg?Fa%?r
z<ALQr1R>YjdvRTO8fzD=Jz}e22%TiJ`p6-Es2w0g;6f*`HMS%+u?q&E%%_qO$;$^r
z!PcLS299A3FJ!MT6zjva%~KT)XL*2kEaCa5;!!N`seg6Mx*klHj*2$Ua)VE!Y1><-
zG0fM8(tC=c2g$g=s5KQXNRwN=TCFvX8L_?Ji|*;do@`o*T`LE)FHF*X7n#ILrRm-4
z2X)|(toeaMFWG=0nC)?9+!XdoTK~mmEgdjWa$cA2WP$kX(9yO_vsfXQ_08S{ZCE_l
zXYosi8J_gG@5$_&$LvR5x%V$>fro8;y4x>CIQ1{<g<;MjmbG3Xf9|Ljs5qRQdsD^$
zUM@%7T;i6o;S+b&t|Co1BF-2&(?AdC>j0zL!&U6&9?^hl6-_uNt9LGlo*v2_tur!8
z*RjfpqM4F(4KV#Y8#m`q2RFtG!zAW6F-@}<PaF9)K!8r&`v?OaxHxLBxtRXL2H*!f
z-+gsha;$RQK(t_?StTc4zJn>BDEghusSY}NUDkK9XhBVnp@l)378>b{4jqXnL-Fxj
z+kCmS@b?HVq3s$Sh-z^jw-6%3?>Jh1hEKGxr%O9+;SW8y)r3cfJ|n?u25D8CmktKM
zPsw$iWrXlK_T%(q61ZzM_C;N$1MTC{R6Hv){MR!>JJUpj%yZ9fSN^2~{7uU%MN}5(
zU){Doc9IC4UBsui(&@pziTPG`A{$&#&8_zNOMprGE8`q)3}7zKn`IZn0WF$u^X<|I
z(C@~Q-9%x8hkkEXO>;Tn0AI?|AyWcK7-gnhFk*tF=}%1}m$-q>=7E{<h#G9It?Ede
zW`^RW%r)jh9Mm2T7CyLN4fG#-oRP?5fyt(^5Puq8z^XKk-!4}L`dGBW&dmm*mu6Yd
z`0c(&D6LskR|Uz+qnD~u*+H*1v7L2=AIf^I|CAsVD4DMrGqBqO(;WFFS5pMxAUSTo
zs*?&dG^y<LlDMFv_nuno>Amo3!6k8vMFm<H#@>ddbAzS<)5@f^2ryVM|J!a+hP<*d
zPMP;OxFa|T=_keDAPdcXuQX-2aV%Codx;06Uk%4NJ=_OvS7%?<#3(}+!<PDC6F#V+
zEtSA+NWlB;w%?-<l;J~zeU{f7et0{8+m_Rlggxx#E^<}M@TxW<hFwPxFnWop()&_S
z&aP3UPNxEg{1+N!2819t#q`7Mx-@9Mm-mo6uL7?rS#|c$grPV<Ey^lT7Csm6;k?SC
z3L*3ncbX$aA>wu9j`yY<7~|}?*T1Mjtu*}sp-6F9iAt}lx~l*+z5hBgKB&Rf_D894
zhb4f~Evw#BP6?_n98xg2K>&SWpO+`k;=xS+9yeF5GK}h^MCIxb!Tm|Z-k*t*;2Wvc
zl4Pq2@wZo66!=JR&Gcz=N~08<JT-@LcBsLHmB6@TI5K>p=01t~D-G&m+|l2Y2{0>i
zcWRTU4lI|mUq))k!UNwB_H}h47>MRxD-Y6u8K0-33BGdB#^7^@sh9|@oX?ft^=Lx3
z*6+739?Jt?@xg5h2MLfB<D|E<HWWu+;TSJffJ55l<UKkh;1I14;aS%KZJsNS@~Ra<
z$dcd_O(KEU-SO-nS$fcN4*l!ORDyvF>*#|^MCcd^AlBF!fa|#)4?9<7xclj+nb>6_
zc)y=H%D!U=p$Qa6*EwYvKUPXgMg&;5F+MqK36M=5jHj5ZfCo);o_V?&l)4vPk7A(!
z4TBp`%^4NQvnXg_J*ooXZvv~N3n}nsAlEO&L<Jr%aVnB_b0zp(yLEflM_Mlf>^4S}
zK|3Yks`ZE*Sii51?#VF%sgQnWKT~D6_#%(Keo`882L=aL7mT2iK3{v;PYD)nT%|8g
z;-SrK_2+F7W4JBS75~yz5&Ylv<0aR`fOq5W(yX*GgqB999FtdowKCQ3UcN%$Whxsy
z&ut7j*DPr|Kgz+q;)8hm!@N-VLr3Sxh!N!1>8f5jDhq!yEUVM5?*Utg_#2pE1bd%P
z2HyKB4F$E4Ub&Hs&}F1oSa;9}^xTN$!^TozbgJ*dxsZRD%9o;h(bE**?XxgCQHF=}
zuJVzkdW+bjwcxmva0;v$jGS&!lYrYtvm@%whcRZE8976K3RGiX1Md2YL0;xBuV@a0
z1?`P4=6McKEL^z!U$QXdGqDSHn}49v&^l(zkN}c5TZ%r;3BtW*oAX0nebg;whKa?S
z7@!wbR`Y@U5HVzXC`jx#6+fRlrSr@X8kI&wgJgJNAycZmJ#?H(e1ku6tJMJLhWqI}
zSa6Waby1?qaFVKR_P8;3MIV}(w9nzSI3e}ci^C;llhl@W5k8!}KGc3Z<(X8?2D2wr
zA|1$+)E6}?)Dc%bP&#&X<kS;p_!!hp`L;YxU3(nw!jqv35!wFlt3NY9!h`Ur4Ye^U
z=R41R0i!zbTAwjY%8m}E6MCiHxqee+E50by6Lf$^q<EwTPXp)f__#Ng3{kCpi~8zs
zYQuQ3PJn>-U+mST-m)tf`>8d2!BfgzT9EE*7$(BLfyEGi`_FoGQx6|HCRjz*g2M*?
z_RWZ`VwjNEVv6%OYV32`BT9*yU}jR=bRlU86A!z_ztQ!X>h<<!z3GMqtZoqWjC~fc
z6j!R~7&KD9$=#jpbk_jeMa~GfeREimk4HEoeFfD{cr`7%T^*+Uzum9dn!*y})zJz1
zWa=r~8)xH;)S*B$C@{)#61&kp&ro_V8#`I#rR!5c2K$em8)k~**x0!C^;*el?6u9c
zbRH5JoUe}Ain)zqSuMDW`!6(N-_}2Qdlix(<H@h<uNOzKcBhDwivpjpD_)CuD*_1)
zT<~4t_&$tDUq4OcHtWC&r{}WsN{BF5TEv&NGla=c+2eQ@zhlXbN4~r06T#|iLJPm|
z5cd9Wr5t+PjkWx!w{mPIK-y%dg(hwY(;Bl#ZZPh{Qrg`N!j2H&cAQV^;PfCiz(3TJ
z5ITrWTdH{9`J@KD0zR=*8-tjhjg{(C&tYt<u9+adstP~1O?z<~L)g&vsHCO)Z)~NE
zOEN`T6$08c8Hb+^VM+ICD?~4jVbrKP+{iH%@Dp}Uf2BN(nN|tQRcB3LO_IMoza=OG
z_UABP$k;H}L>u&pWBCvEx;lYk-=PF&aH26gEhE^rtiUzQe+K&`gUhiHRD!zwv{JF(
zeq;S<)W9kBd2A=(aC@4YB5W0e2IJVqFzJ@1v;DyfSod{}I7*QMK#@d<fbTfw{Ji<~
z3$`VUo4JxI#iRgz4-Z(CZ%kmZ?peYn@0PLbR+~{hS9y5;CI4!6#UD(`p;BZeaTVJ!
zW*&>6?sB;xUR1GQ8hcwk$>f^6j%D;)F3?NM0iBtcxZ?L&Ot0C)?EdFXtj(JD3H7cl
zjPD%LPD-7}+PephnRNeQ>CL}XKm3(}IjQ5q#DxW{e36;CacBo)mAdX^93TU)HkI6t
zc`adbJkN9p9<(sLbwcUzlr&tCrA01GD;V~PnI@8k9`2Zb^j7wjhD%y;W&b{}V!dCn
zu5a}WP(VKZM0`OCG83MNIXA6iZ%<tO&##0D2p`_uh`c5R?W1!pA`6=sk~VOs`^f@_
zh6T?4;+BH^2a{?J_W!Ul4MF<~0y`|>>V3-#Bq29^C!u&{2RrW7;el`71A}Us;hk2J
z(3;?Prt~Z==q3d`m9*i8wu5z~y<2$b_|WVw%R~>XtADnvhj8HVYr-?92oFtU(Sp%t
z2FPj(XN-Ho3#v6IWV$cl!RtV~{7xAY$h!(9-M-Eb760W4IvL|ZO2Ia#V>jQtrG_nM
zq99BuC0J`n;-Q&0MVd#A9k{BPAF%z}?JaJH5B=o9!<#zC$al4Sz<g0))ANKVaMkZS
zt1g5G{l<x?=mXqvoRc^_!@mz^?c^VR)4;>=BmE=BKXLGdK5=gpGal|JeJGhehlfCG
zPtmW@ypSb~RNJ3R!hg?9<o^4BhwLXj6;r4A!89e`r0&$N2lz9sEO+mLZ!PPMyssb>
zD1CUBXd(+PwBPcHJCblc=VL;9+Fo$r_|@{CnLKz}J=UBbm4bO&a%cgqD6k}Y;7Ojl
zJ96{kpgFq?xHvF6zfTm0%y^%c7g@^SRjnR7bXgX}!)BJ(3M8P<K19}WQ5DvMj+wLR
z$U{Q{fABYHNm#Ny%6=k;0IQMQ4R#KSpw`ilEL$uEww@R7S#}ViIyb>;tVbD!C*3b~
z+sVNBsiy>oWfF{~Tt9H<iy9<dzj4EiP7Zn|!^e_n)j_eaWJf8L2-}|Wsk7zsz@n$f
zyE?57J&xQCx9^c*Hp#Ep$WIaM_i-AB=4!x__?OM6mAjk_(0&lZrwlpUwj;v$UCvge
zOyY#Jp(<>_lHs`uXs=Jo?-B=O%kv3^X}X|;zsaG?p$1M9yoavyYQpEVR?8`U15m|1
zcsU?W02vo`+HV&$Ai+X)P`wX>?opD!lSBdx95!OS<e?7dJPLkukSSoL{cgs5kN^iP
z4zxU*C4tymQCWhE5tPJdE?eyO^wTlP#C1U;m@<8^nsYY>p;W<mx={kW?5X<MKBWS=
zNq1K)HBDgsUpK*Vx1Yrfoz-nORsi8AiFEJUO`y{I-N$iZ0+^q(X4*b44T6;wIgDzi
zkb)CdF7H)^Gr~C)FOTknn%YiFPg_&a68CcDBC3GB>jy5Gg90EXr2c>nOhJcjJO8Gs
z5<Hx1WgimafZv-e91A-p5Ze~{fTE}X`0St}2IVcRve|g_`BM{c-Wrq2oR@{iy(x#n
zX&NvF&L*REQ4`3!U}QO*Ck>10<xDR>EKuEE+$m?dYYai%|1G$<Ny5WiL<rfWK^tA<
zxU?lBST)*m<B*jA=4%VX;$&v@Fiw~->R<$Hm#gom(TIYXuUKS7J3C@0ZAN)lQ=m;z
zD@%A*5S|3wUu_iRLh=IE^`_Dk5J?d*`69*#RzLOSjI+5BbusYfsRsbGK40_%A96!z
z)e`@ETO3jtk@c--1#t9|c2V8kt=~WOBzL^VA>FGnv!PrVaFjd^{ec+ZXRG%-V>=F=
zeK5@%A#4a~Us}!inzu30l<<<jEjaY~tit<ovH_HkId{J9UBS-Kcwgzs!=dD6fzDUQ
z_2FQQX;bUx2`tLdz_KJ5hyF$LkJsJRgRTwro)O;;ER;Pkp4AeEH24h}`9A7GLSO^^
zclLVf;jh7awZw6#@}9L&CZ8@0UX4{MH6Nk|I{(e@-{eLI;x8LUdgy?+wdZhL)HHSI
zVHyi%lp8JiTUYHMZP>Kov{5^<M5XtwFuOCzjY5}S-0+dohPa}b^Z%yTs4s6c_~GWb
zk+&32r_o(4m`K|*abEl{Ri)6mHI@g5f{Ndd;I}m)F`r#8Y-@*#C94PPAH<=nYTgRf
zL7K1@pXlb_MvGG2)zdgqacDk#qOE&L16F*6XBR@~(f7?qr`|B~Ae?)Fi_2vVcs-)x
z=qk#Hl;Ve!$|HHudl@Y;19}a>9BPMk3z?AT*O2HG30~x}P?r#rs19P%v!hq_SkR+B
zx6#f{UKE9oYgboRhfvYmY-vrb=(ax`Y0uz8RM~dHxHdARW^M$%J;II(3W7LTZ}TIS
zYuIw*IWoMAKH=;>!+}C0I$v!@3!v`9dQ~!_WH1~Yy|5k6i3%oeK9k86M90209N*JU
zg4TvM*Lo>##JQdp&N?WB=00{^n~NdA^6}#8E*2a*U7YJHrXh^djmF#UY)Bw^Zt3OP
z1`cU{yCT_`BZ3%&m@agQk>Km?jF)BWJZQ_buhK|E3>DsVawo44!SIO5#b_ozbWyOx
z;rXCA%AP52B>yDB^&$i78fktsCmho6U@w8f^u7+&H4vfDQtt2-djZ6lYn$$3hDWLx
zG5B{45e`f76JI3>qWXEs!SAM$h()5_uB?d&xLis!ZdwRkcyHa^c~}Znvzfa1_Yr}0
z<S<3xh%j2lDL-cPmPW_z1{9AnkYM)x!g}Xd5fn=*TuF+SK^7O(Hd^&baL8Em%!Zp7
zqRE_+5iXKN&Q3usGPg-^$LM)&DZ@TgpO?Dl+%GxARQbBNZkz-!hXR~!oFtHTn5)uD
zW(9OmlXhm%i3}YLwFlb`@Tf<S^%=XWB05?i_Az0C4AZ|}uY1Z!B5gn3F9Q}z=#Br)
z{LC12SW3HboP?7?n+jU75A2l@PvPnMvt}A_&RZqz)3y}aaV+DhHd8^?S9%%Sgf!v7
zpKoA4C5@7;He7XuR8fjRIr>hk1y07Ml_xr7Q0;os%Lt^3?(fq!__?D6uCb<#n{Q>2
zulUI8ZA~?l6)u=2!mR_{4F7p_N64Xf^qFt`FQ}med#iIps=BbebCGm#zdY){dVK1!
zzZ$xN@+R$$>OtzWw#MK^d34IC?nbYq8rrVPPD=^b2M&to@S`vVRP|b=>`SaF>Z_0}
z;d*5N`Qx`m`IZz=$<(FC-wRZb*{c)3FMKqFUX-cu2UA4MuBXXCValj*%hcvn4+eQN
zb=a>niii(KA97Pb35n;c*7SP<+&14g@Wx#cEqmUHpF6LBVrrjRaCHKpQZp?#4Mk*f
zujKN{R5@hbqEs!bOo7~JCVTaM1w>`+VRU^VgZi_)1uX(7V9Ivis@_EbvFFP8gg=u)
z1~mbB7c(jFr?@y_v{D`w-SujBdxA%rG_>+j?<nwZh}AA?Ne=lq+|{wu+J`K~ON&(N
zDd5k2Xx5)w4*92B=NEa1Ag}1^vDPvQ(57&GT;rETQ<+%q=^uiK`$X0+{bUME@34Gt
zWtBmnO|{NUC-R}Dv!k}PeiXQD?xvWyAcchA&^VP8>~i=9Jyh&^)2__-RC|Xcnjc)c
z-($#$zH;q3b8{ZRxHh9H{w*HWwOj7E4Y49~8QS+JvH_M#6u8_UN}y93_`PX5OsGqr
ztJ&Hf;F)%%!_jSVboJV&ZVLl?G+b2ZVz!Mz^x7U9*D+C~o&C=FXFm<He@d#)v%+Ax
zl{FYQA&j~QBYED6ZBsjp{k64I3_(#)&CHp3FWT>0!f1bWi+WAvrs&v&0ffdpeumpG
zh{#;YlG()@)H^|wx5=6Yz~?Bbx0%O}tb~Znjs@$~q<4vI#u553Z9x6VsLF@lbUN#1
zn66XbM%lujA9}#bXu|FHg9qJkjC_*oy-roiE)=g*(t|%gGbB1PaVXc7hr5GzgSx}w
zqpWdD7m5Q?<^AHgQO%f@33Y3O+V`#XznDQC=&?|e(9-8Z;;x38YUW$ihWi>;%b)`}
zGcTX<B=13|jc=X&(({+vaJ%o%-E3{h&ll;tOyWRtp*#4k7u(d5`2i1KPHk|$o_oNN
zksVp+KC#g|N`vN9-s>d?Yk_#0$)#tUY-r_VNkn1*Eqa&Alp`^t2~szM9Zy=aB2oj}
zcfTw;ME)qL%63W<UOGxRp$ZlhLy{X^pP)yDr|J_<_Gy4aflvwAo(0kINga|jWkgN0
z;$|vN8t_yoa@a?N1?9Uo75kSnq3;sL+2I4~5R;a+>CVA|BFeb<{{RcpId+!ivZp#U
z;lCd6mSI6p&NQ#`j<6yNy}$;UWiosicbgJB!-B%~wAH_)vm?vVk7|VxWME-@ntrj3
z1+^O}F4$e!gWSH<R~qhm!CR`>wZxtk^~qZir2@Io%!gTVmI@LmDDHFy(X*iqDSLFS
zi5ta9vou&Zl0Y?Lu`A;T8``TA%HTPMLl$OihE_Br*xY<)=KYx+jc;$gb`<7Cm-Y;D
z_`f28o<jMr15+G`GeGmn+^JoE;kaXQZba}qGG)i0%89ry6mYdR@FSDv3&O=BL~wNd
z&nNy77t(aPA$QAA5Q+AGzckcGfUKnR-{TXx5!e0q{BJvikd<BA0i!$uNEudq<Osx}
z<we_?)-Yj&MDu?n1{1(kn0<QVG!F_6ZTlu*BZ@+@U+0w^+wGC#CcRSryok%ctn#^@
zIEpD=(@y~c<UT!Ra`YY_vc}Ph@kmLa6&f0QPjv#6R=m4;tcf4pqW8}m)xsmW@a}SZ
z4Fa59b07I3Ac#oHES!Q)l4wHc%bsQv0(j9M6mq^HgnYaQ)mY-BkkaeRM3d75IF+Hi
z-;iDy-RQN<d-O#b*?FHkANY^}3RQp4UQZW69BEsdw4$=;dO*xKo}S(Fa+OrSvlm0f
zk5r4P0dh$C3v1XKnFxv-6`$B7cX?#JUgP#j9{s*>nRDei5u#)*S^tDdAi2l%X8wwb
zXgb?7?~^JCesf00bcf=RqN$$`C0q&p>$Tb8>m<Rg=JXVqa7py+>~za&yE5A8e6Gy#
zfD9GfIehVVrO?De9g91=Dl%hu6drU=9q=*x`wX8-qnp#@z2XXLNF%6N-_1({>Kd4x
zv-4z-cr;Y>aS_nJ649$GA)0Ut4Om6*di3Ld?MG~Z1a!Xrv7lyw7D&GGK1^REheFv`
z-Mvc*sA%ulbjO@F#1`;`KFE|u|GaIU#(X0nIdL`;qnR!!cK`Ru^qK<Nn|ijVppAgK
zo<%H2<mv(Ect_)efg-x+twWGWBp^ZhSp8fM18~Kq^&II_L}9%N6O*b0R2;c)I?2xv
zc*z-(Ek~3P>xPwHhlU!$JogYky~iN<N7g^xEG2X$h_)rOL<L>^8xvv^4B)4$f48|t
z3ArD+#iKi-gc^B^jW(Gm@YVUd@oJtD^1~NB`ubS`8A_|%UA#tt@aYqi8z+^Jg89BY
z=G$_pazNt|sgDA8t;C*w_^pV%7tS;n;APOblQqkCNh7F>R-#DhDxy3sOZS6?lBhEv
zEJW4H2wZFaEgn3rfcAIwZy;j{WZEH*Z#-!P42c${gI@ATiIg+bFd%}?@C0TnIvVZr
zjns6;N)Ba)eLGDE7epJ0wvkBR2u`q29!-nLqP54*Hl9TCqJxU9HUWE#01LbBpWh{o
zWOF7=4d=K}D>3MX_h$<D*w(eC$4H@e(#~V9DpvHlY4lN77zH|B)RbB4?e>=1`+h;^
z7*NEA14C353goC|OU2AcptUC_&wXX4K`Gg}bM0RNPI>#h%&^*r{Hch^d~%&iO6Ao#
z5dc6ayQgubTNM4cpj|g?x<p-(wK;0W3Gm~|)a>5fe|v}-*JHghL%rm-X{Th5LF`2P
zar;9;D0#kc|D&>T>cwAnyuV`%;qy*(%Vk3W^x}FCwtjhpYCcQrc(&011Zp@RMIPlt
z&GGmU)u};hShg5$o7Mnk9@T5OCi5UV4)&sn$N_3d|LSQkBYjBv7f-)Kk3)kO132_<
z4p9G`q~sB!^guI3q1If53l)`ct)I^yq_XE+OV4T7h3S)b5;!tAkiMF3N66t}s^+BA
z;*_{9w8<uE&p5H6gne1R9^Cs)6?}h)i9JvU6uP=^u)4A!UvJ7sA)|4s;9_LyR;xB7
z1{{wiXEUMIcNv33yFb(`$+!FpWVPXP=#6@Dc}5f&_RD1L^$c~i=&lysZ7om?4-CEa
zn;t2{J>s`#^VHxP0fVt!?+Ao0M8OX_L__}6wHCcd)pj_|Wq3>zNa@A79vigCG^ON$
zXw)+GzdSnS#U>3nW$xx+dw>@0zv7h4`DB&)tdMqQMn?nw-1?eZ)JTJD-n!|}*R50A
z{a){rC{hPS$w{YJFB<d+tNlt(zeP1mRq+ho-6KshEA#saG$@R{U_R98A9cBUG;+0o
z4F1N&$6g52pafF4nn%YDHD|sdFIJ5V=H1^ozRS>{W0y3vwAE?R{Wa<<gK`q^{&!~J
zkPQv$?#Ca!98ZTFnQ0zy8k1m7A&7qIF%5bZE?4hP&w!L-N|#tWi4b|P`SHJP8k8rH
z@H8iu5qUcZz6MVs{0{&C|Njh^cQ{sW7{@bO_ImBTUVFc0oI5i@Leh{#DM>~~@+(A2
zQlgB8N<<kYBZc=Sva&a!tg=Uvh<^S$*Y&-g>s-${&pDs_^OaVf{<9uNgM|Yp-zlkV
z#}r+^H}(HiAS12mPmdTaGV}bJ7GBta`9hLwH4jxlI^wTl^&l<AJA0_LwK3q&m+`eO
z1}Y#_Yj3}&gbp>Lzv%S#Frg&x($1thWuU99>CnihN9Vcz{*`U4X!_o1>6WN6oERF~
z|Dt{?CZ|}A#lL35(mmZthT%%^VnJPjo_;(2xPfP?f3f46BX)N$%qhalb1R>hoOhsW
z*G@031Dv>+#V@||j3NjQ_g{4Tx)a}~>NSeAa^dRzC^L?E1+bTJb`FVR#G~7*CQ8q8
zV~T#w^Ug>Gxa!Y(>hVElG%Jm0+e_xfzhc&^9r6mG`0IiBF*{ZqNDjTRx|JU*eVek|
zM&!Zb?S^=1IU9Oum>uriDTp{r|9Uu29<+aH8l9MC$J%0t^&AahOv>!z^}H(&RUiJy
za%ynmr5!2J>qesJYE<f?87mLlFNS~DP2|G;fe$nehKr$l^(zgZ40&Lak~pQx!;QVR
ze%zs*;>g7aln;aQP!JjRm|Vz%SKYq!a_dW?@Q1uxQhExYlPFTi>dS{m-dqzSy_3Q=
zR&G#31-NtNgV+^o0o+UPTJ*%2j3OT5N%g*pu+H#<JK91BuXJ#9bq>j(dB3NtoTC!t
zyt(`+@uUde;{3@H6Df!C9%G{){FNcUK9<bWEQ%&s3om(96mVv|apnAJ6_DXSr#i4A
zhAqoUy_`LYn7E-{ZLOsWl4jEZWF-k)f8%{u=7KWzXANCUkyV4E8N{5LrzD=9NKpDO
zL<JT4t_anGI%pR(%i88i;n<P!mx&6hsB!DH+rj@dp!^-%>&``KY_t3p)?KNJ!Sny9
z&Vv-lPC7IAPelehM9`K~OASwdf9hxGq6IZCUb->3%Hpeygps*WH5@ZPX1a$)2Si$X
z`i#QlkkjG#$$%s^e5UaH&&gt4`0#1qo5fXmy#Mrje{+BuTHbUhRt(++^jH1foH?$5
zo-;4fNjz$Jbn)#ft$_hNYc9FV#-@nB4wzdC2CCu{*4#sne-Tjm$#20uS`lZ&GGa(c
zDrn+iCFD~FP_0dOdb(B-9Tz`7u3J~ai}y98SFY}c+V0ydv^9#joa1f6aasX~j}c``
zl7`@vb4%GHToJdi>{}JTCW|i92Yuzz4dKu2>uJ~56tG6FNzukn8i$kSzkHxG0_t(W
z3{Q#z{yomEpKmFFW;YKjWf>SjQnhwY3Pm2joJonhqa=zknB?`+!3a)N^y;V5$)Q=6
zP^_FAKmOi*_=dc-5nR@ASG|-egUrL!DV=UEyhbW{IwE5P^n*W-Z77m)_Dxn4<pnFo
zZS(UwIAsWO@$^@v9!sG|ErZaf&TVKuG<y4JiXk+Fys(R*mBilzW737UH>jsHnzrTX
z8bWmH!}twXapZJ*{xxNBf%?`U=IOJR-Jr6v^Rhy{C|2&Y<6rwYNSz35|GwzF8-B#}
zj?e}Q;}c_-#r`KL#NQUpu-qwt7R~JvD!~FM&8na2f4PrP_J6ma6#$@ejeIydofij>
zEfkEqjuS&Wj;7et0JQz)ns(bDA?JHu#+uq`!t>8wmMB328fT}7t=BnG)TjScyZ=1#
zQj@flqh|niyKYDQG-5~Un_(uS)CGbqx;~KKMIT=L3oK1?V?i11Lx1}@7Kz1#%Z^sJ
zcEPQ;4Z?!Y88GY0h<(A@0x^-IY3_}BpiI5dRBE^#>zfwpcV1o~9y(JP{Z@71U~?wj
zZ9RH)5qz?zx_F+bRaEpA)6<2kLUi_B*J+Uc+{`KS@HxVznRl;xxDI^gdu(5@XM?Jt
zaFPH*K)t_X{O}C%&hSj|!Dek3&adyXWnHB%@&~=U%rixVM6b%}iEG3A)|TUs9ha#s
zv+J)ontu?S9Oe6BgSFs*L#5d-o}bi*H(uG7-W?}IO%4cc>(PX2QXaeZ?s;kki8;K+
zYm{(sSd~Afs|ndddWIu$Q&hiEPRF#f!$j@5mJ-LO6bLyh{`uRU@6?uK@|tgAzY=x@
zw5Q6MD4_95ODs2jgnBH5dUm{UfZ%i9_sl6o117`6Gj)!CrIxq%FX*QA5kl7T^bGUr
zoBV9OW3;QE>flvyN?@#;XdZle`+>VUj2?EVGx@KJdU%<X<#@4^s5#=!I6JHc7D~S!
z>^Rd#U3I#-!~bYI;W%w_>Z^+y91&AoT5oQo#*x-Pi$u2)l|8#v?MGF?!E3cMuD*s^
zevU&+eyy2!$=<D`=%EUAL30d0A68OtHbwV#xHb}c#jC$;eyTw1i8aE<s+3w**?K(O
zxPeft$jQjKq5|(6Iv>v7FQ8I&s_ZA?>j(wwhdJD=DiHoqJ;kE#6*X{aUG$83EzvC*
zCqpt)20{1G=Qi9=sNBIKb81dCg!=jMqTX{#Kp#l{FF`VjI>=P$?pphako+F>VgF-A
z*md{5@Hp)yVx!t;j6L!bA;cT+bD%>3vi9<9Y=K0=w>Xu~G4>NdTwo6@XH|guBVm_M
z$)pjfs;*;pUq2B7%oDHOZREkWFTQ~!{gQ|)Y!V^|)es9VQxwJfa!~9;<E3-_HDQn0
z<v;Ce2}=VngXyob&<Dv)*0<gg>nVyKdwlCQubn(sRb+whdP#)f%Ob*3pHe^DQBTy?
z7z?yU$iPmemj_v^ONcjDyM|0IeI{luEoT%Bkl`U`tYzp_DZyD^F+J+uMEGBt;v?yi
z!8a;#V}lC`Ew;R;W7aJMxv!?R>7g_XWighUeX1a2eia=EzSBwsP4vpu&`QJJxBC`@
zZhs^O`jdoJ*4l`&f|KFHo>DMYYS(c(pqeN*@{nb|+d&N8_R`zdF9}6-CN^8bY6yST
z`XA37yNK$DgP(Y<Bw@<t#iV^<9r5Pg@kmj-9wJt*^A*iU37C2|zf!^XnXq`YU(ftn
zAK@0(`XFnU1gLNrr_vNQ5f{iiYZHEdA)@M8!d6SfA#pf<i$qNep*KaaYUB(N^cpu)
zhIGY2dRX&%mO~ryCCiYV<KQ=<O!WH$6RH^Kw{FX~WbPnl-VDx&(u@$EU!1!5&BWkz
zhcaZ%brSil2SrtSM+vn(;JL3&6l#`2|7)i0A+FdC|56zpC$5b;#C0AQ1-9*0es-39
z1UZ6j@FjVIi0d;dG8z+sq|24T$J)LS!4Wah4Ovsf2?-<fgRCO((}c^l^1%>sgJbJ@
zkk2e(b>s+FKOqd1M|0}i9lsGBL*1QfALog3@u{t!1B9UK=PUkp#u4K8N2+gp&?3=x
zPTWAHKoCYa`X0{Aj1uQ|@-$~SEfM>`ag29G04faj7)H>2Cm!cpj$q(2G3fim=eeN(
zRNqW_?`S(gsDCsjw|rh9yjbq~(<Jai8l%UD)~{2<BVn5PbFOOypN$-^?=&9-_C$p<
z7tIm|kErB%!wupe6P=TdB_BM}@?}_?o+m=oWy$3wTi}i0lqY8aFNBQSr@wl+NN5=S
zXkflV3-=!-@;ONIf?l_V!&=f3@%=&8ta|`GxK(@|8GOV8>!0SXJCrRGi}~C>_UYST
zpU{r}EHNJFUs#_+p+7_jo#MS|_MLG4_qMX7*WADtv^{+U*Eav7mybs)8R6T3mUb&E
zZixH5F)5I{LHGn`bi`9xAc_9GSjGwo9Fp^ktCqJwo4H!g-|g&B9zq-8UPyu?LC?3c
zRMCQ))`*ewAO|$wU%Yes8VSY|FEloPq=&{gw_n}=&IR8-_N+9YCxL`*+P)KO+rXX4
zxG+wJ2gseRR)zi~C{tK$iu2wHX%anUK^c6Y6WF=h@rVRpF9>Kolx2b>Rd4x(Q-Z)#
z`G%Qpjs&?MEE;7LS)t{SbF!qD2+T*Qv)%FG2Dh^nnF71nLAHx-jMGI7IDPfb$13wc
z)5DD0G`yT3xU#YmrY->@Gt?|03NOf<j+vMgCPApBT=@<aDQG)H2`s+D2Pgeb54#-V
z0V9d6JO4XK27NlWr9e9Ya513ENw4Pvd4>W{pDbC}=@MvrAWjI*zT17t-Cq#g+c(JB
z5(+RU;CwelMHG%USQFkyMBrnXM^JEu5>z*_N1d1zgS{M2T<#f&!BSU#zIT}lFbT@*
z|6!E`dMV)pQPbjJkhyZaS4<7|)|qNgq)CI#h4m``LP?l;xgcd3sSd&iJcV4|$wDo?
zg>=k4Y1s2^wOHVb1{Ak!^{G0f2$_+mpVnQI0qx9s20I>2_)}r2WM8WSM!B9T_d@01
z4hvrhN@_t+RB!xaWp%(_Qy0%b1^63Z7kG6}3(k4cyGajGV7_-LjCxcF`pz31w06;k
zq8jrPe2v;r`y#>S-sT*LD(Kx3;-(GSVij$>e&|8WShGiLrwV8cHl3Xw*8-Pmfw-$Y
z1e`bM(A^rK3KP}}@9YOO!9!@M-dAWhl=^jav3*wsm%DogkC{?nTmH|L(ffw5FFW*=
zyr>$qoVgiNs-O<3%tj9`jv0Z$>wi!51=QelisZ4wFH|73hhgm1iZR$4wIup?s)B0m
z1<TvH@=&As^Uv8T6ZoieGzj;pLc2O`pGb`qD9h6?H5!`2K!1D+HC6@q3%w8YHjBW?
zY|Dh?3#QN*WPRzfhB6dfHEXz##|1mYf{Pv>H-&;V*L}$=3LxyIlPRUK6)K*^uW@jg
z!ko8Ej{fHRteudN@v<2pmPrQ2m+qT@$=<O}=3z24UCEEi+qz5*us&k^a?Kd*rb3y-
z)urI26JuFY_cpBUVx-r!HilkyHQ&xiaabwP%W$A)!$YRKm12^N;Lc2goJpGqgtSQb
zKK0|oweAr42g8OSJlCne)WQ$jjQ`U~|3N~DbcZJss)lf=^k2mY4>zzps&V{smj}1_
z*)-4I*bUJ+nwEBN*ukS+-6iZXFPd<j;)|RH_#)G9FJZz6Qo}z-V%7NYT4)mc(Zc`>
zQa!0#`sl#1<y|wKHy_>`$z>_dAVB(gf*#kdRYKMzj{Ua}ADYoDw2b5!fJWML@p0*C
zLX1yHPuQ9d!^#Rq9@Of?>;85=bJ;qgsj-1Mio}Oi;wAG;zjndVLgVfIkNT+4E<SLi
zlNZxotqYu1-30-(@7)ahW~q^eT-P2Z@?zK+>D-nOJxDlMe$&$IH&t1L=1zqxFYac{
z%{<($3r#ka4~_P3P%l2$*D@t|ad>Fymb#`cESpx^QEh3l(rAEzUx^ostYbw&({vzy
z{&7;W(pEezV)OW~8ZS2OFS_BuuLDV6N;<aHZpRUpSg%j}c=5y0v(8p2+F;_eOJ%DZ
z19mds;CvRziykE&=DC}m87_D%KmQmL`jv-;Yj5uVkdRud_FFBmU--G->O2eX51|yd
z8So*MUoX96uNKTz@R<p!v0=&IxtG3`eE5!<8_GYe2~F+X##hBReH&zj#+><)6rhC1
z5;TFfPBCIP69<;uzwFe=Er2$X;>k~pH9_S@Op5a&2To5uqs<=Q%$;Vxu&h(ywvKdo
zY&R#`XwMjZYZAmjAuqY9G79_?675hZ=R(z6Wnr(HgmBBy(An!z6qqrsQQ4bG!ea&L
z9^zxd_;_nxi1}d({7Sv`BrlO0?YF1jOxz)gpSG&Dq-s*&ke&#3-{QfA)z~7;6veNj
zJLh)_QQ*@+@clnGdGTtpPt0yxG5l+6oWagQ0b%C-|7hd+aI~F~kfayKOEia{n=??L
z!)`e>F^wNB&b;3NW#ahbZ@<3<$L4;NCC@UK3!tlZwUbJS1ZvTA+{~5U^zEwJTK8c=
zOy9%CXh}$-(D4gO%zG$s%;{*%el}t3y8EQ@A-xo`T0E3q3ZTG*!L<#N*=8v&YvS&y
zlfo6X$v;DHH~n1XRNiMpQFL5AJ#Z*S8hbOMpR4_&z{mBHw=!d!{i{U%y0|$RISv$e
z${f-JQ`b_X)Ei<bJN;0i_b(a4F23w(tk8tEOMe}IDv4vJb)Rf|nhY)&ghtG2Z=U<|
zyOUY%;wbvUO;|!#7SrE5)G?N8L7MuL+3f)mnC5(+CGUeQmbjG^SlMWU*~5S|elAJ0
zkG6WgPf`xquZA-P&1wUi$>W%JuOyKvF0}pkc{z+pzu*7uz7EjLg*4pKl|n~~nAvEG
z99o8X`uLdXf{@oWec5s;OkI^vY<Vh&7i+ETAFu0zZ^9`?77b|>awH2Xhs)u*viteq
zB0b3eB-mP;ER8oVKW25-mBX<+S=JxDcERCcv()V~(pb^V+uUC#i%yNM;cMdh;M~ZN
z{#KrhYqv?CoK<CUzq^;?&1QXwTwk4LuqWf;Wbyf5zA{)we}VMf+W@qW4%obNBO_mD
zF?l(Tj2>}EeiYLYz#3Ej`ukBbo=@foo4hNHqK~vC=_3i)_u<DQ`(0#AIpQ9E?2;5t
z|GU6!w@83DrJvE3j*O2k7nDBOFNu%lj=PUa0$jeltX!Wjjpb*wQV$7AAV-VUUjY+<
zos=wZO-pH{Uy`159~Q%bBf@v%4*^)e-JrYEDuu@3IVne8ilV#2A*Yik03Ms{j?y)e
z!nSPB-_c9LIOX_9aMc+gz=+0SGD{N64~f>y<qG0#TE*+Xwg8Oe^DnM%_WJ)MA9R$(
z@Z-wGO!D4c03yreU>;iud~V7{)04o93GO%g#{~gQn5ZI&55)0(H_49tnH$M@pV{iC
z2>4WA&^!B046lz;XbLGLeDvw%dc_?AmM^eG^peG}BzG{Zzl{@xVr!hf$r0dT)7R2<
zUKD#LcU-=f#({g^ST|^u8o-IJMSH^_5v(EU(gtU+<BzTj5!t2&P$!kVv`<JF52x8(
zPU&UCfk<WR-wpb}=^C9b&?bo1GfQt(blFg8nkV{^l|Fp+Psp)L7Qo3#u_u<%tmwNP
z?k|4c1@}S@+wu7G<NmIS3g1~4{F#y+!@v2!3(VeUY2En{@9$={OkqK{l^d}vb$ZZI
zlx?Z!&5IB7R!nb2vEc4gsgqC5^niI;lOsHi2RjS&Z#cYWLC{RNA626Ze*aR9p@AF!
zzKCM6V`at9yIhhFn(M;+vt-RAA#RjvDwO}6%8GT*^~nj1I$--^Z=BzC5_)~R#oVjJ
zhP!<`EOPC2K!%oDc!!aMX(^XZH9ccP+AB6p3`5#rzNYpeHiHWpLaPqD%CVz_g%gSP
zoHkfh9GUs;$b}cftR99{v7@!wy}rqfO;6dsQeh#^g{u~M>yF+W7*@sQNV=y5r0>u7
z($I3@3$LvVj*6V9^p)GERapzFnlyD1e{<rF;19zRYn=GIGJ@8-SraB!l>=fo*Qa+q
zPPyI7g*6u@ii|I4!dh-)xbNou``)<8#n+PXUw`w97s8rwxaM(kp92@Fud2`+)^g(y
zzVOcFCJH>b$zJ4<%7s^w1$8QVcu<z}S#V+`1*YD{-)vvwLO!qWT>7iLm~5@7|J#rP
zfp_JCTF;WOe71bYpaMT$+kaE{)^-Y5bL<Y1n<L>*$wNh@-U1ks_H?|jT>};e)CFHf
za^u0TGe0`21+nmJQNCxU2DGhNToPC2!S9XH7Qf|%u`ICUbYG+f>{qN4aGK&l+_mzu
z<e3Nx@$gI3cxphe7i+cfdtM}Qmki`5h+>*lXvJ424R~**tRnD$4+~4D1^t}GFl9CI
z?cgB|xKSQ>YvvX|s$Pt;?^O}U)s*q6D=r$KoFCE8a#sM0C*Li8*)D-n@T)q?UjrV6
z8t^n^2;w(oHBRXf2^65Q%qY390k~V+iP9j12|Rx@X)7erh2Z6Duhsz5lk$oJ8^Tx~
zY8!Yob(8<~^x6@06i{FAxw9rLinZw-?_Xb%Mw50O`BOF&u(C+4^{Em?fn=BG40dGv
zZV{I^mrVgV&-_VKFELDy^xH}+E`zCgZ}Z&wG@)vXNGM4_92sY)kUA=ZcA_4tUH3F$
zM;_B7tvYdJYBb2%nJ9~A%N7Nf#I&IMs9<E(Cja~M+#(KY$l>nNAI1D-TJUbMaci8I
zB!2GAP+lySLzT5U28~nNaL@0bg?f!7=1tp(2n)$0P4CmH9047WBA1OaoRq?Rvg=73
zXL-DGF7}dlzYY`}jlN~IB8AZ-l`EdX^61+TY&Gyq7sy|{S9mW=<JN+YiwtMwarKKr
zL%WwAe1CQ{^2SeT{GKoTvqVWARqZshEA)1OYk)1K^8gvmMYY@wtK?9acZjBJt3C`W
zY)w1!jEonvs^fa)<?!>J6QP-#UT3@iwHjkL8Cw>5G!5Nl@#J%Q;p3qO5K`2j`E!Ac
zZK~T=+b_!CqSM96NtsRV<?XyaxtV{A=x;rFnv4&7wTE-c35Xfu6gbvJMk51zEdd>A
zbWK0wYb63e={bAlY$_Q|d2`P2{FKCV_nusnw*$a?bHgK6oAV-IGEV5R1Tx$cGLj1h
zIMSakY%(H^&l`uh$%f*XQds$ZHXgvCr`0CQMH-#LXRfb~i{i^qhs&a#02ICX<e%Fh
zg%=vCwx^Iqa9qUVuG?n*Crw+%QBn%OTHouOdL)Q^3_~)e39$J+1OKd-B${=(4f^Tv
z<6cYgB8C3|2#y;Qy}1(DJ^Y^U*bZKdO_LumItrlpj_K{S@8ZZ(76aZ4+(=qTv29iZ
zsGbPgZ!9Q|ZFhZt$e3_p_TR;;e6#>3G|Ur~ZN$(uG4Sr+5)M3Y`@iV=`vk~IvQk8^
ziDK4a<1gu_+3}y9%X+m40dz<GI<><@@Xvg1-sOFpoPQ!#YWvgxuK%b$@|;c>3*;4-
z-*&U0L<-gCgpdL3HT|k9mnevr-%~8}E->SJ_3KKR_w+$r^Hnz*2;f&?KL;l-CKNU-
zice<L2UWw5uZ#ckp`VE2>8?^ntT9Oc;v2dPZYc0)SGVyZHHK;ij*PhdDDisNFFo*E
zrIX>W<UxxBHAOxhM)cQ->}m7R1J*eP|MQ!ir;ocQaBg$GU-}Sb>YFa4S*Jb~+T>En
zxoxE@d5pN%<wB6)5nb3D;`C8Lk%Z6B1#|1`GGT;8xWj0d4)A*DN}r14Lf-i96H$vy
zs8YkhpL0M51~_rub(6!>iLbloI+*chl~{0Fw>G4o&pwtK&WSur4m0})S<v3Qy(-;F
z8*a=_xraz|;zc%AM$v6-c)wuT!{@seWFMPIwjbue0Jlr}!MSXBdF3{3h`$yHPZXcM
zQpka`9|RUt-P!S2<<D-09a`{uWJT*xDhJYYa5w3xa^ReqrKDTxrng7dKH0OG51L7x
zQf1^s@p6TY7ClYSZH>NJS-^o?QpW4!e{tfTkz!Knz@`r~a&=e^aUh#g>B@t7E>xa0
zwGiLr{N-O_?N@|3(Xrn}AoVW^pRJ}z6sb|*Gnuh@oA2fvdJ=J!o_~|apGP#P;~H=x
z#LGRkmlHjg42AW~d2wG(wnz3;4LIL0y_NR>7Yd9EtLH}Zp~)_J!xdKzp!J`2uo~sU
zt*ZAWO9uJzZSCw=StSivYj^u39Yw-COrK0P5yZ*&x?8%oXh6$6$8wxLH%_zHth-Q!
z@b0bt#MCe9aK}1F@W1Um7=Nhc+}K_bJd?|(s9mWJdxZ3LT1I*B)EcpD=P!z^UuK><
z=c_}`1vk2rn|*1A&U%Ndl^A|t(m6PiqYm8<mc!P2_>ea#m)1{F9LKiRdOR#theU!=
zQ)iAJ_skNKQCt%EpEym6XT3VK7c;eA=MlvE0Qw*+8cCd-IsQj?MjiBSwcirmFN9;G
z9jeTWlIW8u@Nr6518$21kS9`v(a&jtNEwyF5#qD;;o}+*v%75l{7(_QQlRT^-X)D~
zJN93<%GZGBI@;D}vqjPCUdq|;AIZ4qcdO`G5(OxgJjO0=V#pm+(C{`(1|3iLEs~=t
zVAioDMiv!Eg}vi{PF$76h|<jULN-n4zLV^|F(8ih{L?37EH}MfQs?4)rY6+0iVpNV
zkU+19+U$l6IlRQQecseo3$}ex7dUuO63vaOn(FV#Bk96qT_&S8+~RI;ZeW(eHP6D+
z(TobnoO4^-uU#ANQX|8SN~Q2-c}-NpVFmOOotk!ip#z!OE@$sLOXGiiX$MFDQ$QZN
z6MNz#bipev{^{u@X>{gm6w&ihK+ijVB|+|bP&RZk+cS`iUxvbygH#nzCW9Qdw&{Dl
zzxOpB86)F-T1w<>sXV6Dwn@h+>H}Zrr5GhW8SKlk{*}%tkL(2Z$urvxKrzwSnh21=
zsn1K7VzlHiR>vwVy~6+k+T!WF6J#*llk_!IK^B{JR+$qwz4zFtZT8;HTz1#_HJueQ
zy5G^#4HW>0J$%ts)L#ZCQ?mYUdnS#x2N(~@Y<hdFe2pxtmJD)KfA>D8CWXN(Eu#}D
z08KT4ajgAhTre*_nwu|y%2&%RC#nGUH8W<9pCF^{UQabbK^)WAB?6j<08Spcy~5rq
zjsKi*z<9IIvfFArtDXXwDeBmtDI<;l0{{U3{}h*ZJk|df$L+nYz4xBib?tEvl~6`T
zC`v}DNJWK8Qbrj?lZqlEBeOK{IYwlBWkkxzOsNnhME(5!e?Q*i@jmDII!_*(w~l6e
zr19>D73;t+07{)NJM@B;ka2t<koT$thI7WySH1`E(^vQvpRI@|omNT24^fPmxg7Ah
z7T`ox?cl8r1q|EyY@9zy7@fLV62or+gw9O;b(oV!D_N8EaeqNP(ercS^8tW28h!pD
zJo0$J>(G+@Iet{#)@@0U0nR@z3OK1Hhb@j5y+}iRc;Mk4uklYb2)=o?Bf(J?b!4yZ
z`L@V|_JuNQrM@({zkhdl$E-Bkq?-mN6my}arPYY@I|~S`(+p{LkiuIwKePQlaG;z0
zv!Kt`7GOX3A-lUl0$X|iCZ&b3WAEmgeY8q*SQ>s^{li`yL)rvXqmHqmoN;B<pp-dm
zy}jIXXh9Tfc60WJw6Nk>s&V*wycr0@h;j6li(vDC_vvdvtazaJmeZpJQ;5DS<v~dn
z#yN(H^Uj{E81nE{c=;Yvc*R5?#~dq!H+=p&2VG>vr;+50x(*Y_Q#9=jOc%u2<YYeb
zG%J2nS^4K~ZURRG3!@a;1Ta^*bnMJ&HXH!EshKikup>q@YJ~-G{RYb^O*3{}>yT>c
zQZa@f)+hQ>qxi8UBR!N;i33HnZq>SG8^NtYf3{&dev~LOs%fWiqV(w2g=$$N;5W&?
z(tekOSM)#5E%<U_9%IiA{TxGR`cQb{;tmq-F$j6tT*-}ZnqFiusT)G}HjQ+OGznez
zJhU)U<i+^-{u!?)24EkAzd0F5C@H>_KkdnflONb;PHr)P8z%JI-PibVOz0)&HeC|N
ze=sUZ`JfL|)Eup&TqJyQ)GH%KlppP~J|36~(}#nenIo+m>-N4`p)T_ZVCL-ZzYT)=
z-~qEU^M^O~w`S`!78OL^6L;cHy`X}tRq^x07bJ}FSNJ@qD}<(9<><Aa3jfxEm3K+;
zW4-d)K(Dtjeq60idM8SS2A>1E)a(41U6-7YdshSv8b$Vc_UOUHRgMl;83APamg6Zq
zCyH!QZ%X%F(*wiBmAbxK0i>zi`8ew)j#mG%dY$vqgOa2j_ezcmVov_$zjwPOaDCP6
z>ke%_2qq1b6&MQPC7~C*3BFRe<>b!?m)Z5;a?;m^34UR`?8A}Q!6t)SJB>GepQXTx
zdUVz)1`#y1$!!<)mBp>LHSSIyDZneusd1ELqpvzY(6iaeq4kpUtGj~~xVNKuyk1%i
z_sp3|-Zhm+OCQOwj!6pq;A(wfzD*oilegD@(N{qCq2<!)KNJWy>`#eFlt6Op;gSc2
zifCUn_lZtk4_<sh)!7kA99|dn|7W3uRxcGiwLSFU^u-GoFK?E{zBJ-lwXHIS26)??
z&(ed=oPB>*U&vtQAp?ict}3|nO~Gh&Sr4>@Zj9;Om&J2+iTByPRncvG>{vtq6|TFQ
z-K8FsL-}vQWmDd2I4=4)_wf`J?t945uNuhXLygZ<H=NZ`jWO`b-w1v14lnM`VO7Ad
zH(K-)^)=9BHG20Ec>}1get`1>3Yc~1<I@~EO&sUXO^zEefB@}`K+^(6JiMQ^-l;?r
z%OJ?wsKgLVe|+ITb6g37+t$b5P_<B}m)E%|$q2sgjIVT}D&vvfkn5+eYT+$ye2^b$
z45@!vJh*0*F*`rsM)-vmh91T*S3^ypz-4x_^NI@g4fUt&E!M(!8J{iuLQO&bL#=DB
zoGOY(FU9Zm)53~le|T+Am_be|)|cN=#hN?*)nA4*@ps9;)c2w0;QFfhpy#S83Pjev
z|0Sx4VjMQPP6sVuZmQww2@^Hsxc<6tNK6B>v{V!O9cl1x^pf{QPc@93I$eHnQVp#%
zjxT=Z17J8`!rSAfhE0`9b5GBy;*TYJcIn^^eoD{79c?wV7favs?x!;T%D!ZD>IFdR
zy_fnjldAY6p+RDYgA&rdUug^Z4IoN4IFo&9<369RTnfLXfQf;x&MGQc!jY5|s^3=?
z)cff2t9DQh!;Mo*J<Kg(Hs!qEDJvC}7zq(zP?kl8ZH@1Otu2AynR+TeS{cO~Du-F<
zq>!@HW3wa85}Ie0#7zp7@Q;w#vxx~Y<So?<byKs1;P=a9qEQhQBYmEDF^M2$cbT{n
zizRp+`xG<St$=q6-Wwe`B#8eO9LAF00W2QAa!l;KJch10kA+I`<G!V5{6Sd&uGC+C
z^}}-bO4Y6|UW^a<PG7lxWiLQ!v`5s-30d6pYhM}nYc6aU95;L<25{(Q4$sn%4Eo+=
zV|JKl$B=I~S<YtCp#Hhj_bGa56wh9LDxSlNzkc%PTQkz&ULiNHlBp!VoX;Al=wrrp
z{&&&yeirb8+;`_{k~q43&0RA&!-RIFqx_x?=5SyCdw}4IC?2g{4?BOE5mz3cDP@v1
zhbM}q8TBzDI9@n=;Kok|Ebs`rqZ(xf4B2#{U(`2vWbVXGEoHz!r$LSCVN-BYOUX4}
z5X9f1j%B1W2DDo{S$mjf3bEE@BLf2hC|hR!muZ#(^Q6RE`*KX+_UOK~^CSEi@V7u&
zVjm-V)R~w0a+*N0Mug!#27WweJo7SxfeD4DzliTYX$;O^CSL5^OhT8}vHMp$nD9vo
z$2Zw2BOnP>1XpD9p-P8u;+vPuxN!RT*JgJk(3P3`bXSrO^#(g6p0%^!Q&N)ig-$~l
zq^q`F+{cTh+n+93uCk)IYjW@zTSKrpX?@JQmItj~X<h5y!jADp@-h9d4d5*K>}D@p
z9%P$smb_HLfl`7yRiAD*fD9~$RYo36Qv2|XtjmS-dQZ))`t;$cw{TGCS8inPj&+vp
z=El|CiAlM>`f%Is@HX?m+*qy>#-fqJi#9c1ck=zB!oa8NdR(SF*j-D<-dx3pk^214
zo+nYEdPv)||2_|@Tz_)zPz4EV>~HdpsZl{#@$BqdZC-TS;qNkw{CG2cCHPH;9<U5b
zCtsN4#eF+Z(%i=cP~ng@|N9eqaQMk}jyFDhm|QmgrbbW*i&j?F_9*E=et$|L&jcSv
zIDFen^Ag5?zsJ(MHu!8()a5T4LBih;(scel6G2Jo`%xw76lhhuYAU6`kFFMhQe2v1
zSQgb|5WklKc_Uk-e8>1vuqZd)_o+BWMzWF^wJCraulAc(3E;x|+<)C3l1L3R9T;S$
zz+50>BFo*4{QE38Ju4uMbN+f>6VtlTe|;fNK3xd!O{JY(pO!(1e61|TK3xbFz1s4r
zNEpLbqgfBn$fDb5{ZU${E|jkCw!HmT1czdGcTaqi!%!0w&5F0WAZq7((n~-L>vSo>
zFIMGo_s;!hDPMGfjrvzZJy0CStV0d@`4zG4ed)Xy4+T0p{4=Y2B#`z|p*2%a38$yq
zL<=`jV82<Y*nVdzTn^7|o!q62%mr<)(-SE$FCN9F@ktt4mXx-)#j4;?Mcf^WX$pi$
z*c~vnmc_NB64AwFs^}M{(lOw!2YsBJ?8$O+NH4r?mG7Mz3LC!8h#Jv@Y8icp8;tTO
z-{#twzNn6U&E1a~&QRgzq85hDY|NQL91=_$dGWMM?sgwpA2w;7JKEo?fX+Xu7Yu%B
zqEbYF(ZrfQ1icO+f38tPKFRhe-*zqBZ?f1J{Lugke13m-&sM_p3ze3Zk=n@qgkJGW
zzaeantTXi3;NJYy{HK5wZ9J1S{q)1A5yXF{OqDpRAo;P_<4Vv$hQEc;4J*bV&>o-o
zT2K{ZFBcbmveCimtIhEOQl>DR|MKytdR1IahDmKM9gMisy9`^*V1iP0V#@~SCwuhO
z{)^Mb3~A{DlZVZLvHrH~t~NDPnGAiDRjq{rhks1}y<`D;^R2H)QtDWmeADgHeNE(T
z&s}l8O@pEIT0?$2b!;ma*?Heu1Dnds-9K*yI4;xQ{>wofM`)Wss6q|T*&ZxmdIG?!
zY2bfaT^(;0EGcw;SHao=x?7!mmJoI9%)rATH8kO&`P8r|V^L1Eqn)QEoO-~NOYB#}
ze~*?s{&6TGMG1awPqu`Eck6w3wyWZ!G$q#sHhH{P7Sa`4Yza29BB!``R8b>;$j5|7
z7Du@0TSKcY!G1(kBv4NU9jl*L|Ff6G;N{3CwxyO}8Q%WjDk$R(yNt7?FGP{ouOYGd
zh9$5xlQh{(mGIa^O#a7XLimQ{b(=NV60RA<_3u|z#J)u_*Tu8^*cUlfx69BHZXGk;
zE5)OL6+`uBv|4%5xIyQ>&_)gpUpQW2^+OJK2@FG)11H`XwEZvaF~DsdiGxS_WwCfR
znl&PU70o?U{Vs0g%Wi`8H(ZcG65qq)?ZHe~&dc?M#05Z2yW(&tND3RXb?%WC=#j5r
zGGO~*8pN+n1~dmt;AZEHn0qXAC^6us#QD+!jwqkVznCb7dtZ7eq#CXhU31zkf$SE*
zQk?Pb@oN!`)H-JLYSSM=u3#x*&D|Ux#C_$qRT0K=`{AVqfmK4gJmAGzz8OTNS>HKP
zAc(Pg)t=>vD})d0$5^LTQ+RVBo-1R!09yTH_<b>Lg^-v@i_da2g=V)ch8F}j_@k~H
zVavZta2xoY^eHfb5E1Hh+{S#KH#78wy1Yubrf=Ck#bg4*KKhQ?EPNQUbL;qZ>KdWx
zGVc%&U<@Dg+wZCE<3W;eQ+4)>bwWWcm!G-K2>c^8hrj>e!gq(9I&Gr=5%wiZ&xa^R
zaPWhp$DJBZ<dnI(W4?|K^AA}PYgvZybVqL~wT=VNQ&uB?_tRtcC${UyNQUsJskx|g
zksUE*)5uX4MwDxx+HD<g06QvvZhE+j9e2F27eBb231_9f|HaW8z#Zk3S*3Zljrz#Z
z%PU~UoWb$emeKm~#%Oq!se%nxdzL&>Bv?_*p|UE0Q6D1NFF2ZJvSIJtno?388z#io
zUOS#hg}20EIZ`DX7Bxk$-L&Pv_eVR$B{zIQmYMOQ%pBW>_de;LVdcV0ClY=XJko<(
z?02Si>|n=za?<PM32r>`%BgEJ=)vuJO5fA~JO1{O-1csm7l$k9o+}PffTw}>=wK`d
zuH20r*}Tq&ZGveo31=x#YrmxSVkal&i4BAZNN?nJ-`I(liWIQuDfIZaoeL*DCH}m3
z7Qo@;>OqknUHBX!=2;NPjnmgg8CCBI;!#08e%3f$$Z&HC+F!_ny4<1>X@7;V?X2-F
zCQDuT^Z4Q6YwUbzU6Ec_7%qZI*96t?GwOoRt?f0;J$$Iyn(=UvOAPM|)NYCHB!jJ&
z=McG+goEYl`Movb*u44iQ~zu-Y>kPlY=6Lyzbo!HUbrNQb;&IHYSCnPur3*Ovrqv0
zqrS7RhDu{(q5sF0Kr+<L&>WrH1aV8<j`RZ-vKXkH>ATyT3~r<4H=oiAV^fU3BCoR?
zek1RWmEB8*t4pse{db69%v*+`$6@j~6K+*?GK36yev@qd&qZ<Op~sEexeDlbIEC}$
z6*7beX`it-6-Vk!BU8qNBGx=~GFYi6!(rLcBQ<>z=y<w2ZbVZV>F|{6S=NpBK4gh5
zOpwAsdv2x9D3y&|&|K8@)rHRNL)F4AGU(b=VDz<56?gh{vkdp@g6{Y3#=>-2v<djK
zT&AUtF+G8u+IuKK-sZ`C@|qm(6t@dH8Lfe~qd#(U8T5eqZ-QR`hCGs5>JxXhY|Qz>
z@=Avq^q}3@I4S$C0%nGewbNF$@Y(siRE10`+{y9u9m-Qg%RalH5ndhKC*NB0>V`f%
zI<#rPy-W#xFD*s>TGzq<r2IbZDlmZSr&Bmas+93xS<Lq?FEScMbSifC8bS<XTw_|P
z3LfZEmY%;uM)I!4Pc?$Z5Z!-UkA1^O@)x|6q^im2c;1`dW4{S#FHA5WJf?;k_Z-za
z9+5F}xUbo}!4$HFUUBAXs-r0N-r%*PWb}I(Bx@jN4szFuiyE5M(SE71B$J(tv3;(K
z29XxPmd1TU+e8CTpV&VkFr$s>UGa;gCK?b+dp$&BH1I6DmE)#ES}0w&GG7r1aL~Py
zt|LPO8Ls+ld3#p_Yp-cOu3)f)q&Hmq{+-uA=N%6fMpD#JYdI~1cG42I^i{F58*1Qx
zZWXKLPAVv!bY;t_9!oIK_hMUlp^nD`<sLlxsfZ1}KBP1uE4b4<8FGbB9SeKXt~4gg
zWBi)`w%-<3aIm!GAjwP(nHT8v&9!CmxXtu_s-qQ@pR_Py*rbYQZj7%!?T|nb&sgnu
zTdkl)^sz{*h6;*JO}^rY7eOP2t7Cc^RxrAy@qxp-63#t)&l;O0fFtiiwB*(-L6pp>
zc(+awp<hwOM1c=2ymk1iYAqpsaP&g#Nd>%Y6{)>Pmji>-V_O+REn&p{NSvRBJZg;(
z?K(xzjEx?7jjPg@V35zeeQaD7j~+Ik_AaHvTW@$C88iV%ha_x%u}KD}U1SBtcC8Y&
z?5Ap${QvKLNA5ovki?QoHD!mcpG59NjIA&uz~*d)47NmZ+}o+-Fn?>Fc*|qWD+@F@
zqFP>jXs;;xxon|ma(yK(s+6SjZ2V*Ne_4H!p2E1jHo87y>=SXoYj1JE6LUxnMP1QI
zL40DKC^g|TNpvYTi7EUv14A}h8))RmOdpG5RaO(kU_`=WCj&DGYi!zjgG$0u0a?F`
zTPKJ}#ahbqGp6wLZR_Ti3|?%lns}CKG)eUBWmzt6F#(oKW$h!P+$eQ?UtZ?)6mf|u
zx5-t+1gboq%~MA?Fg5p#&nfNCME2V!PIZTkf$0HTKgV}AEZ~XwXFWSZ#H@AJPc<1q
z+j7|tH&a&B+x5riEzc~WEjpW5BX0x-8I`2(&CFQ8iT=V+-8|v*Wb1G3SVI6ICa>Z|
zCY1Ovw$OQVfw1WoN>u)40BhUB{ZeBYaZ=+!f5YXUgeU8Puw-`wV7^d)ylcb9ic0P~
z3Eo~J-aK?mbZpu1lm&UENp=Q&b)kZ_qIQ{>uss;E+f*NTgl;?CPNqjmHLZ6ee^!YC
z?+9{EB^B0Y?KMco^q8L&thny7PE?#JZjvNZ;qFeh$T#ftSbfpg!0+`x!o6GlKtq`x
zaP=JvuUMzU!n-UZ658}=5*NRirmqKu`x^O{`RNhv_O}&YV!$kwpzUdO6p+$6JYs4?
zkGaZOKgCxV(Ms8VpmiGs+$qoYp14bo8m>!?b5YD_-*Q3Hc32mL?B#QR@i5@Ho~he+
zDOR)?dv#VhR2Qye;B)^h2D~n8$}ISv4G&fB(2VBRh5eDL-|FlcG0r(l>s}=X*6MIr
zoh>E<8@P!&i!&jY)qly$Wn3u8y)NqLM23ct^7$9c%qa9_xwrK#5BAF*Xb4!)fn<ln
z_Tzjk_~6_`-|<vFOi)!{{p6qnZ9;GMubQ!9b&z*=-Ww9$dsgKB?x{A&guWd(oydmW
zI~zEJR0MEQ!jGS%p$%u%!;R(tvg3&>0qLXZg6MbqX!q@6E%>q!`+NE(C(cY>`c2*N
z?6k)vau3b4U@>-5hTel4OQKVo%sz<VeZh}K_lGpW)uli2?IvFIRMGz<SS*G=dNgIs
zQZ%9Kj#6;MV?GS^Ny>crKmxs?s4U1u6X>>u8!`8i(9dp5)pCs#y6hAG8KJESf$I<3
zzw!y-onUzb_$PyxzcW8#me+*fdtX}O4+<iYbDnrbmBXW-u8j!jYJwhpW4Zi@5ccK=
z>=2BS$Ast27f5?Gq2Tk6(1{QcyzID1m^P?@Eo`>J1ErcU<Pxd(Ohyb1tM}9I+ops%
z35ySlRkVQGB>K=~Rvay=Gy}UklyT;YbF*Q)77U#ml1dqrM6lRmwBV(RqO^gtp;_9H
zAE@xzU|JgeoYn`If2*M<xi%p2kq(>?+i&+PUKX|9C+(`bt$|i2qQc!yk%3b8d8PP~
z94hIxYr7d~q3pJR>JP@ca585_<WIjm((m$pZQiMk4sv;aj!9EMPFkI77q=q*YV&@*
zphCv@nWQs0%6j0!mT7*_RtYoe__Bfr$oMh3O<dT83Oxm-ZhdjeD52)l7<o(=X_Gur
zhB^8$+j`i>4plHDId#J4t1e#CAE^5%Xb3<24>X3&sp8|yu7tD&1tkI_UH{}5!R5lQ
zjAGpCn4&8oJim{EDK}HR?d(ioP~i88%_I%{6g4OQ+mV9Ixx3=G{xb#tz<0;*EovYO
z|8oC20|lk05@c+jnS)TYZ%bE^Ch}yFCyl~&Q7mc8nVCQu)OwjFh)}f9O)28Sw^A~8
zh;S~Bo(H(dY51-6oEFYB9zT<_TL-B=&*X~DEn!Hutzq_x7GCH3rfasKiO&|N!gIzf
zp$ZFas`hH(pYNHk&5YDBHQmGTQJ@t>2;BKa%xdCg`QP4etyNItt=mPlH&)==`hI9D
zO%s#y3j=N$E8^s<fTVo_o4{Ss>dL&E2D<LpmQB)>+o&J*u3-I5@GEpmKFnAhXBU#h
z){jVHQP9Xc8N*HRNT}zY%z`Rj-8mS%HYSX3Mh9#1BsRhAwZTKimsC*n<}Jmgu8qD6
zsrQtcwt{cDA~pVO$|zt*b|gRGK;ct0GyIuW(3|~GULZmdqadl{Yaau~1^BhfY_WoV
z4fivAlk!N>3w!eK!ZP9WK&&Zs)DoP|3_0rTkVB@RO_C#iUx}LYN%_<;OW+bqIii^&
zgVCE+{=SlXO9&L5?$l?rgwD^OKf2wN#Cb8LzW?N3($ZLCN2IO-6il1tsyB+^=csQV
zwl964P5KSle~<)_<?wXM7Z*XgyB;xFRg*LayVB14ZZtSsj>c8@1@VkxS7Bn(7n+El
zh02!`7LXt;%yrbAA9oc_x^;woqs@MkGjF<M4(dk|TF%n=@M%@#h2fs>v;#`Mn&T~I
zklAiLcYlLxvA6Pwp}*g0DJ;F5X&as;7ZUt_4A^m3W{6$prtdTzJ|~+|JyU2%KQwt#
zg9RN_qau!c{7MUI(2;%|Y69Gb$9>ceGos@|*S-48GqfhY+4Y9!#z0ZOaZ+QI4o?pr
z5`H~AO<Vuq^=W|F7&5sE_Yn`*iOQB$yUmxTXp?!AR}bBdpz&CQh{E6s0ZpX*y|NQD
z=dPmu!N-QsHMKZxnYcvw2HlX!d@@So3h(SU;53BRRzveGj}{4wvP!Y;;vt$HCzON+
z830YnNMly*2N9@dAHX0wK<hmaBDAwdA6(hkivpQvi8M1&=8|W<G!ox>cD|WDWW}1;
zmAlLkQX|Lu-l@N#X@*toH!PyUq~nQqLz>fs^cC6WxP2`&Bgc2X@1>}4`7E9Hi|9!r
z+JDl8EQqwL7OCF@uIs^H=Ea%kFivRj2_74dsGx;S+X_DC(F2yhjxNJ{M+xV1^dHBs
z-K4FDf8(e~qQJqn8kViO!^EV<k!juPbmBwh_F@VT1^7N{{u-4UBwBuJ@TtBpC#Dl(
zxMi;Cf~Y^+)F+YmM7zfQxL?m}h{eQ71#bym=;*mWB6{&1@!$!&mBy_`f{{_~%-cLN
zjM_5U`n&ZL*By$KlM7!H!mGh_NA$_?a?Jl}d2}B!@XscqB=0{$Y|81DN{S9t2g^Qs
zvi6o}b`d<EYTr$KaV_QXt=5Jcd8FS>^>2w=N>_y%+Ixwbv6NiDPg)=pWJ@V&-LOlM
zic?QE&MBNa?#Cjb1(#OOIi&LT5heOmR;$GUqH1`JLD@|ce1817*><ImXjr(N=TbaK
zM5Sp@XI<9-!<#B||84CjPHNR%`jaq1BsN?XcX_W4?_WN)7BYB8%x`l~sDC|5P)^-*
zmsL=QKrVF|?p*`KZFRX!I519F4?Bp@98-g~h0;IFRqu&#@*krJ#Yw`TMd#)9SE``f
zv~pE#%OGK7J4R7s{zUNGH(zIwRt3&`<djg}VIoe)jK_=TGqHZ4jH-HC1!`_fe<%_9
zNC;Bc*&?^h5JA^mGA4(Vf#{#$e^xR|jP(4p@hJO7q&!NGRokQthczd>Qy0bv#Rrvk
zc5ZXTB5i75x<m;IUH6zXcuf#JOq$jiQa=dmvj+TvQc4idtGX=qeUeDIzU<jmwLpj`
zhK%N2RfNK{q}Se$J`rpmGBOW_{Unl--+Z{orU-K)@(EqnKNHXP{XO`@XNlm|lJ#A?
zr~qqW$L9W2&JYrLH(msuTP8O3*H?8gD*$PmRmdOC?*xm5U6o7UDxn$wAIK%j17*|v
zqlD}^;#A)*uGfL<M639!rLd4Z9NEFu%0&A?MBgQ8TgcL(t>etg-W)lIX8_Tzo&|#2
zp+N3iIX$)|2u)ovl!Jr4WR}dUKZ*TugEwM=8Bsv@iFjI<EC}Bczt(?diQrhPEIa4U
zj9M-trwu}6L1<}E*X!;wVekrLdc#<8xGU0jK|mIMuNbG_{JBcRN?qdr+{TXk7CbIj
zM9IJyYbsq-;yO{#+7?!@mkZ-s-`d(tN<+R42d!6+4wXa9_2P_q@ljsW$kAQWkQ8l}
zr1Y8|M;*8QsnsFjv-!DkzX>S_zecxI6vv2nMjPqkzVYM#00030{|uLRIM!_#hV8w*
z_Fk_&Uwi#7ij1sM3WXBBN(e<#DI}Y0Dv64Q5|xBsDwGPPLPUcivN96&`S&@VKc3@w
z?)$v1v$>R0e;`f@{JN)!`fz4)zVtUF-&07PH-fx06Dj<?7<cO5Syu97$Nq%+Ibkwz
zzEI@^w-kJ<b{))|U?<g{@9J*06(cn|9y&BLN?}#nlCJ+G7uh!;;Bl!(f}BgUfBQ#H
z3PvgQKhJsdk^;ru&)P0Zljg3>iYG&)kjpH@Gehu`N*nD2l>1~!I-y2u;dv?CUEvMc
z_gjEei)dy17B5e3xb%68R--g7yj7cjKS&`1n7V_GY*8fXt7OwPdt^|OH-Fz?T9^zC
z`#TWlNG10uaZ{YiWkIbtD`-U%BTLP04rB+YkndiMbeHAILFk)4t3{;*dEuMwx{h)+
za%ZIC*!4DfJm*z>P_<c_3=eT)b7asYGb?vAN!Tdj=+DBhk%hA4X3nhOoG5M5`Ba#3
zq8JtVI}>6?<>g7iE#>t;{_2p1feDTOTvcH7LDb>s69rP4?$dE`Ydx}bcU1D8MK$DI
zJAF?zMu|-Oap!u{Q5u=r{NCL~L<@FXn?0%4%47v^rGj&rJ}J(|J7_<k1E=xn@&W->
z(o*Tp$Is;k<ok;Z4BAtAh^=wH?fgZJY<XtFaxmPGd=dY+FVfloI<{=)g;zDmiP;Cz
zReuc06;aPk`JG14vXL|Kb=M+)26HqksT+~abzQN($)*VB_1<yjoi?d@dzVJYj3Mb#
zog%;6*8&k+EVDkP>yTlIvHv2i4asHqzK2DUK<Km~qc@i>+5GJ;orstLIVF5TVI;;1
z@(Cv>9bUTRH+JJ{rDz%{Zd$h`rpX%aF0qdX59yLAzr>cdhU${M9k$!U->$<_|LF3C
z?Yg9=-?WITx)#Y|NERKeU61QgSFBkXb;+y$ozz>;tx9gIuo`#SY=az4o?_)l9Wu!v
zWN5KnfqbjD^8#134Z<O`gJrKa89l7|cFtUijL&HE9D8O1)?#tx)w7x;r=S2iaz>Cm
zQoR00NtF$rTT1I{9Z@Iun3Psp<uQ{VN8g7}d)h$3;s`ynjw<QDICovLaIAS-;{3Aw
z=z6G&7N<3|Q_0bl=mH~`F+%QWVSlK{dIX2}WN~g)B<*~1&edI{L$Kt#{6F{C;h&Kd
zi_<qb^3)qzvchdP+@NQrQx;r@ZVCBH1_2rJR!~FI)u%jAuRWaPyWbj*f4LNepAje7
zHU*S<=kddY?eP`;XI8M=8R>AsT9^!Tj<xg`7sNyzRWn<|3a_v6Xm;8NkmokkO*9Bn
z&^6^AFIxbJR4F?@)#fJaD+>~}FHykg?WdH-1-##|PxDPU3ptl};LhMz3ancM<k%?$
zZWLW0ShvuT%!S;~bfzgtPki-RP1X`4(y!mu7tS~HaeRGZ&`Uw<)E=%da|<MFow(Oz
z_pP~&ZM~!1bqfAoqY5Pjnqz-X_l1*XPn*x%Z{G9eFa>!552GoiX2^73%yTe)OZ?gS
zEbHES3M7a{r<Y$%ac=mZZ1lo+;`6Zn#VcYIm|yf}OVKw4y}w9h>5p0B&BDo;)jxtL
zZ%y9hoNj_5!A>@bdrQRJ(?bTArUW4u7v5|&V+>Kh_|>Fet3;|p!r6n1f^g5`K6>BV
z81ij18y|bqLqdA>ZKMzdX`w@V)w_(axoe}3Vj3ehvi0^$I8wkW$9vwu(Fk8_+|62Z
zn343{Ajz+gg6ZDr_RN=txO>oS#^ER{cI@Oco~0AQg)gxT0v?9gNyp7`&XFCF&j$){
zQV2gRDXdq%8Q`q4sOS<qC%n#1=oLx{qxj21PWR&mNYAehpKIhogU-Qt?Ki?8Eu$6m
zqzy3CnzNi1%mb6CxDe_k5tQ*dXdHN=53^TqXC!&~@VinvF(*wFH@2(O><;RKMQnC9
ze4Gz@{B`;9*<!GxH#HSh(MRUf)H7@y{3z8ACTDMpW1GL3y}>9AvHJX>Lp1_me;Fp#
z`a=S@ho0R~zCpvS7=wfDmjtm|u}im&kit9j#*K$#X?XuKX3pmV1qT(IX0vZdBUd=)
z(-RLGDlV@7!E;3jmnQU0ZNz1<`TiFAr{*-A`4XtY{!kbTPvcXE#$@rNt@{?CNkfXr
z)7$n#B3O#~cxCd59HP#icji^2;qSjV=`?;ZaCRuKoT`$?k-J5y()u*~xO?K6{bq4w
zeLCP5Sg3&TTUrWxHqvn9DZ}fEatRDb928y6P(%Uy%FyR<8vLL3&Fp2Cg2tyH71LBD
z#7-w)Ex1O*4y&Y1OA*pg<SCuaPN71Y62W@>7Yz&J1NZf2W#D^5ls1v9jE-$@KS#Uh
z<1yRf%lbxH9C(l-n31T08|e~)_Ko_GZ2in+ep(KxL2~=$kEr6=-`M6zO9PZU3T;$z
zmxuXVnTOYW)i9*Wc+32a0glW3VW^T<z^mAXx*~mbs4C8BABr)Au6>td%CrJnwfG!A
zPpM-d==znThDOL6*k-5Sporxl@m{%94RDxwH3%{qBS7b)R`qcuoC<ucG|Zrhl@|y0
zZyGX2dWGMS8dEBgVlpCooiw2&@o3xGb`uQ9h_A2tPDOHBaGXb=CRD{3&mL$n#izQb
zdwwS<<Acv+;w1-7EK0eaBJY^tmz#>ma~>54h}(Dt{?b6vh6j1%b#q8;c>N~vxC)d@
z{yY)dt$}!#2qo2v7SNyk>^#t;g3Vs(=KyCwn7@qk)loDVJQk8-iQjjg8P0O5;{6Xc
zhYM%bAbD7JkTZb5ezMLyPhJ(QyQ=o?+M$Z4QLRCrgn*$~(*wIiRKYVdi+g{Rv8~!C
z;m<xGDPmfpZ%hSAO>fK39;QNm<+|dbI{@|YLHF<?71$ISI;(w9#GuHk*xzyB^LQ7f
zR80jrVKl-?R{_uMqIvrHtspvBKwn#;jOl?ZLv8VLc;0Amc|zF={byrMJLahPFN}*d
zu~`NY4D3!-npQaSI?$t(MumR=VXcHbNfbK@JYZ6^f^*NtLT_Is%q%P>WSkQNF0<`%
z;j)5n#>+c<jw!D7BcE8~VPV{6Y`-e|9k_9G#7#3>0To)+PALHtG;Uj#r_}?pGkfZp
zOXX3WYOr8nAb=DtLmh`WfThNMZ1tKP=n}omzd7;2>QLog32T7$WlDH!{o4Lej<Xf|
zaAQ0^Ozh|~0iM*erIv*<5T1+HHoL_E&L@XM5k%l#r>Q~7D=9R^{@LS_z=kJ$q4bPh
zmJrYUU}PjJiG4xw<wZR#u%FTj|3b5bsP*AvH>1U2-M8Vv_iSc(^Tu^o<XXVDw(e8o
zyeL998C+?uWrAYrshkH3=D5?8&gh;l0=Xln^T)K9ATS_5XSdB9mu(F%U0W{<w`=RG
zdKVaRT)C0ow80GS)n6h4#DviOhP*n)zywFzKdkFz&9F0l<M<UW3KH)5UPy6Z!uG>n
zBEL?XqTxbMo0ha7hK@E7n_8K$bf5SBy;&2Oz~S+JCjp!fR0v)QVTNzJt>;%?6C7uZ
zx?fz#4}ps>(mbqLklYq9-1yoUbbePYy6E|l7<k6d!-N&rm_2{S*cqcG_FD#f0v~i1
zcsBOAv7t*S$k4gP2wtJ(KP~0?;J~@l=HeN4^h=+f_JI+Y=k6%Iy~PXNE2RvULmViW
z*?qOY#Sl_4Qgez<yojxh3Yc-@!szb0<nQ)|D0tL&^t=c!k`1<gEd0ccTXRlZ?!Gm^
z=z@P@84oWmt6KakN#}*NYb$GHfB{lnq8_yC@WNwvLH*cuK5V+880@v84^bVu=&wiD
z?nReyn3eJ49qWgzEBX3Zbju21o#h2qla`pT3ZU`RlzyqPJ|_R$C--OrAJ%m;?$Br!
zM2rOwkvBv`g4T(quqr+@1pLUa_)fv^rC{69R2nY5Tn=59<wwiUu)s(qVJHnhmR|-9
z%QmXTUf1|BpMH<6?2rg*D}pl}R`j4l@|oPU7l6ga^Tw)!q6lG*AM|b3L(&y4dD#^K
zyv+A1o7*mql5HG$y~%p`5zOH=)glNRx+=6zN}$HGR?5#u53F4a9{%Sk$W?!)qgyBi
zAy-GKW(z&ETyLlENEgDW(3i*<Zy6-~G`aASss}aQbIyBngt14ou<&WIEJ|BGS00nl
zgQs#N?MSr<Xu=DBzUIgwP;^Q7gQOk|jmv69hDDJp^eBX(P#(cOrd#MW*51QWIbcW?
z2g4;l8^tRM$Qlj1Des_%12YfyWyeWCf&6e|pivS2?ML&EMd?9cBa3q3j3n-+^G4}^
zP=a4=(J`<4dgypn{(4)aG}iI4y5z1<kyYY-VugbS<*0)xcbH{C(a{>Hl~zILexChj
z!)OR0rVf1Vl|_I`-OG~}su28>mZLSfmOCOh(k5!;K))d*T+&?)Cz6#V%Z}-Tb6cj7
zXtq3T-?VOj=B*Adqsx!?Qw`u2CjWXvgaW2Y1->%5X<&SzsI%a!0aSP&z5TXT5jT@V
zjS5vY!NYdOqv*aNZrt#anKV>Fm2p&N=SNK_>nX0+yl8~IkNkY!^HH(MPFu1*NDHOa
zms|`>jFB9%>v+R36&^~LcV#teK~jCY_qEF=5dFa&?@^|VBYLj##sgYtZ4gsWdT5Hc
zH*}J^ZYoe=%-!(tz7{AChjMy)&9K~@{l4kD3ib><pPF#h0$=t*0Xc7uM`}{@MgFRI
z<1)_hsZ0}}*Qb{Ba;<SmNte5kR7K&xNx|LK8hFjrtmGy_pfxf+`0j62l*hf6)jpyQ
z&2-xqJ=Qhs21Y*k!KDVj?aUr?>}u#d^B{US64-gX<-^k@RaARl23L>@KHN^(HrE5B
z<c%fuJX|}sP`~x}0u?tZX&ScjR@hY+!vAr*Dok`4c0X)V#II*N!-Bo7aBZ|-q`zAQ
zTT?sLpLNUQUTvRD+es@h>v5lcudIS4$9*ndqp}b(5ps;mwF0+(!r3k#Wt`bDG$zk4
zje)W=Q`^_hsbYDhVaKTGacgS4oFER~^7U7HPgx<E`wM4Zk`g`-e{tzC6+wFQ-V-l&
zS>bnUDbLn;MNrF_d@h?)@b+iO0cU+HoIg6Msc}dF)($^=GPC(n?e4lWa~Wu@<=W}9
zTOQs&A7Ab`&V!ZQ0?&qfz?UD!J}ItiIkz!3VKj*YOP2&+ybT7luY0a*vyw$LtC`{v
zQ&u?sHg~L%26(>;MyjsOvnzwvXjC#2T;KHFd67>*BcZPJPK+d6#IABH?Pq|{6EUZZ
zNlPfCw1l=6i^J)F#)@q>9Ud2b^%{UB7<wmE`+G%^OxyHo^VWaFe=mI1!_QhEpgAeP
z*FXfz*F0Z7c(+Q3jj&$4HENE=zeh&C)Cl2SpP=grwpGIZ#e;$KX66W7@7bibiGn}r
z-PLzruMi{baYamL&5+{Vd3T$jAgqMBthHrU3DpIgt>KfVuw3L9<6Gc|PtabG%Kla2
zZ^gQ*&5owfPxk$t@tY6V10Q<z{Q65|KAXHhb=?GR;g=mdCHY{%O&OBVp@WI+(v27a
z6KEHRvZyxl;LgB$H+pt@*gt1TkUVOPp+x3=f-&4U_rOehoQ?t4#jk9c95aGvU-9dr
zP%dm<rEF}bFd}$!<$sLcM%cidS3+0JiS~$<q}|p`_+)$9C+xK$T#4_2rHdS38+tdC
zo5YO3-(Pd=oebe%S4O3e=Rl&QSH#;<7T9U_a+ba@z&Y<Y*3T9ka0^J1x7)!6_d2)v
z6juX;JGb|(Q{aGIn{v&i33l{#wlJvn>EjTKSX_u62S!g8m5AkWLhTV(Q9*z{Mxwh{
ze*eb-x?QZwHeTEqVgEtL_?rgvSH1^Z+d1%}C-9(zB`;*!oH7eCY4|6loXg_OiByfU
z_yeVUI8VQIC3~&6*Xg_7Hu=qoSJi1+On3MZlwI<`uxpLa?5k(go^wH=CCQH3D*!|B
z-n5=IezG+&QYT1myvf`(X~9ncO(w;xLs<_&4<fSO4)VakzI98Jj}T<OzYIPzs0&SQ
zFY6{gKG@PScSt@JhTk;}GNVWrOA!JA9<6*}Pc@8sVl9fg`Q+JyKDtm(vlTbU<i{;X
zoZ{(U^PTi;qmLT8csX0?K6XF=H{*W1)k>8>_Ro*0xs1BdA3ez>xLXkR3VS~)cuL`W
zsRe!1R~;05a(=Znm;#*{YW9WoGB{1|Nyc^QV6B{8+On2M@7x=H&sWHzoX)H2WxLK=
zPmlO@u~itCXBbz%-jhR`O}9$kD;-S5-sP+j7R5wP5VhjHJURukdiB5P!2hFfXXi07
z?ETl$?82mo!)F;!%ChMqR%X<f`JXsif2FKMm@A>OFzEhwOI-;47wEx~FNtjKt6KkJ
zsqi^&<Dqp%7g_V$qJ(Uv@hRqjCZ$ywt(Cu*^1tiiQc!VH_*(9ao+ok^_*9X#-Rt0^
zoq9+JTreYNWPuATfn(d%K=E_=PiayQb5AFSlSk!HdvmBotXLh7BKNz{<<g+X6womD
zNgnPk%Hd~UYT%^ihbRpXeT3NW3CsGVfL(E3{<dS9=;2;{x=1qs<6(I>|Ido3-*x7$
z!iW|wDSZq3rDg~gOZwGU!)tk&<6*k}o;LX3Sn;)+8sQu3MwR?tDpn-oqk7eJfZov)
ztG>qQ%`Z2cd7_NOZ+;gzy>!r=QS38ZXo4DBdiTOo72Nfgd{!2ygOf*Jb^bSO3TwN4
zJ%9GBal3xR<jF=I2()H?v(++3%}^tPdDS4ag_EwGRR?;n<huXGSYW?#%z@B+H3Zd)
zyX$Fd!?@>V=DJ6gxGEl$$?{tbEY;3=49l7@N%7S8m?yC3n@a<OjygEDJMXv<sezwt
z|9Nzs2KeT)BDR^RW8W#;R~N6T;f&1BbQvZq<etxw@D@~uitVuhg-R9dSoD72yx$5l
zk#ubnjcSlOyd!92?H`$9q)X--tuSK3n-^!Q1|I66Y*jNwc-e1QtzEQ2zC)j!XsRj}
zZH=BDoL%b$Il<?x#jJ64E_jOho(dj4%F)jblEGbP+pg^j*03zED6S!uQPFnCaF4VE
zto=F~b40A+C}^m*u9^zwf|CNXQX<IK+Vs|7$qG4s+ZTv4O1NV<L7yEZh;FMq%kefV
zG_CX*S#D9p(E}=FP9|&p)0DqA?Ti&{rsa?$rU2bn?fRFWbHFM7*M>#H3X<*}0#XBV
z*rQ&#wdgl9Ub`J(>6!#0;*EB5m&wARr%md^B0a)PMk}Iofx~S2@pp#Sy!*81G-v24
zQFHTZ!arj`hHlJmTec*6I^DwO-IfTiKOF^1wFIIwT4p=^#KGFGIBgX2izr#RKPvId
z5*w+Vn>;p&;#b9A-{8_2Vl_~I_wt&*%sXBFIuRg@gFBB%S{|DsynT8mHbq*%gQIn1
z^F<2$f2Haka-JlPt{8jT)tkd$$EN7541)M1BtO0yGC^qACQ&Qs%#nKfLBZ4+ez3_d
z4t%>hK}<D%d^P20hL&id%tJ<eNTeIoqqR*EX*QzTM~h97?`?0CCdh-PDnFqcrBj56
z=D*tLDH9|bFFbqvmlI6%V%qE2XNajN!~DM+Oz=uU#Yjez1M+Fbayw7V5(-|X`}r!2
zaqS~Z)OZmaZfCsos#E(#6lASrR<RgkqR05s*7dB&470K4qFW&DKWyu4*>8k{=9`HU
zB^DS~f1}1PFA~C=Uf<mK-VhCO!#jn{n349SQrtm!nW%5CY&NqsL}zGsl3N@T{1$Ki
z+32=H<W>GOPN+9Ppv=P{#d${TNC~e0Q}vga8tkXY=^CKklTr89Sw>I>Q#Z0?)1hZ?
z|0j+cYu-VspWN@si0a^qlhh%4DE~?ewAR!IVQ!SAwt*3E1K-~;w`9bK&^MD8w`myv
z_*z3`8zTf0)qZo|W<tS_<4!fEGzhBQQf^3Lgah+yqk0n-IP|3!GqvkssK+#Kd6*H~
zl!h&@_pcSb%-G?+?Rt2k?QA6I!2}a#(S5~v?ARD(dCYZM7d^)>IuuPZ;jg#MizA_&
zuyB2RCL=``bV^!GN6MK&%c2HF?c+v-LJvo~x-O)c<LiIMut3t%jbSmF7wLR05r*A5
z$UeNc=TrnMVxuqnt{>xrH!W(X;!z!F+-Z;J%V0wWYuSlk@&ag95Iixip@Z+kY~r;q
z*ukLCXmuoFZI4vg7f0H(5$wISuUm@~e|bt1JBKJJOPu+Bc%3%dlvDV*?r}kV-mQ9e
zZBBI^uguoI)I#LWDq+h&9$Zigkr?C@1>2U*hyDa=A-KxV^MNcMh7J{n9_kW<oBcb{
z5kW1mvTv}RRp7_sSEom(?n*%IYox048%?mR?0I{@QUFi(a;0T8OTkM+!f?k`O~f$o
zdAuV`5UC*}Vecnouvu^-C^=UXcIHin-y12=y>o+_EF%YVdjYY_=QMF8n7u@4%>$2V
z;*pM*JUV*i>INTc;+;zdGv`$i_|}b!{=KRId+~km8#%Qw%rdfT>jp8Lt(ka8&!&Wh
zp3CFf(OTfWuQ3wAC;^vl<@>pZsEAydu@B?ZhV*{f-@6Cad}`LUO>b5ii+P8v=-+9>
zQ;0h}wObn5{Yi&$SQQSZ+xA+m@xIvh&s;~SES4T~r+=YS$Mvp;{Tu%2;6%euf7t{%
zWNbQC|0+oXO6t`AOzLzowjAxpTP_dl(w7AitXjD1&d@Wl=AlMGm5e4G3J`wG6r+Do
z8@(R`Hr$M(VW-a9*{DTD@HBmTy5C0!2hOCH{4LZ6E%1cLYegysFK+%poz{Wm3ipN$
zZwzoydm+r<Ss78)UAw*gb+I*Q@IZ>X5qw3OPVYaU0<$aKreA7xVXyrCp7aG{gg#W3
z_dKQw#;!}ppZ2fK-|ZBs11hFyKQ+R;d`Jz`nL8u9J9VMK)ctI%*$g?)m1ZBfsw05%
zOx`j>7mGQMxMaL7VE?dz%E_dGzYYgfHVNy(bziV4&#Wb+&lHj!XEczuSUWxEuY-N%
zqh@RI2)EvZ<jxNo@X~cp;#tu``3&ce<TXCG@27Tbo7X`1qlmG;uQXsazHYl$${Noz
zRAv(1Xn<+(>o)B*59R9p@ck68H6BLGWt>~fzoeoF$$*Q>FboPQjy+_Jlpg+bnuF@N
zpB{C2`jsL~1l+TonyfLknz4O}TOB;_HW=j1%i+_LCn+VP*6=)8wRDSH4OC8~Yi*Z?
zP2!7f=clbvUg3K!>x&BZI@67?@vZfvsOjvkkJgA#T6e22Um3$b@sfl#1^wI%)#q!i
z!FuQ=$9ftSA*<IMg9>?}n_%y}5@`+LpFz5bYyNgl=yPz+7%RS3esN@0w#MwcDc8?d
z3W&Xx8`HLx9y>HRZr$v#g7T8<+?ywIsL{~#Z?0P;%;sE-(gUr~I+-Qa=Ohc_osMlx
z?j$i9kxQvx1@7+<_rLx`3Y(I7=U5j%5;=0>D|a)2JdX22vfL8j>#6uJqosvtwX7_Q
zmj^b!{(34rMig9ay?(Bf_08ia4Tta_0k4je<9rlhcwP%)c01ACTv2<;$0XAdxx2S4
zUh5Ntbjm)z+i|_kdz|_00vjx#HXCs+?j=9UOfOCM69dhPgU{aA{V+%FRUR(WAztw3
zBohh#gUz9_gH@Gs=1}}{fTnYd3n9POhkuA0X#S`v(-ynK47=X+E?$dZhjq^#K1sp;
zW|h1@Z%i+kg1PKk`2Hpq@M#y1P>;Q9E^k%&+CIAGN5l8>Pi$pE&VbMRG@;kc-yW!C
ztk6u58aZs3VZ?wQNsfwogXhhO)z=M66OD1}l>?36n-26{ZeazC&CRyzrOrn_8X@77
zYx>`#tHgJ4;R^*J7n}Y2X@PELMyO(aNExqLCZ>%UFShevCrlr(75pqQ#9vR2>Rgv4
z;^Jwa67}d7g3R^pkY+T*&mqFZ)qa6^Ked58J^qpib{BHE6KsH}q!N0W{9nWZ`wu^Z
z%RR($Wld+?fIbu-AG3U+Ge=BTXLWNr_Y-@hj&1jM(Z_Xeqy9;rSwi`XO@s2(5b^tx
z+Z*Fn8djft4<1#UA!;^`haPPEOz^R})enOPqXN;TPsgT-k#gn_$BIS>QSs%6Xx2lZ
zWky~n^E7c>crZCB@;l*wlX?hNdYHcbsHEo56cHn6*d@R72hn7CL-Bd5E<U{98(L>H
zMSPI7(>mq(leon+5dYjo7ewQ1_)WVhBA(@nQQiG%Vq)LbdpZL;;Ihjp8!n$B=F;W^
zIJe9aV`J@>KliQii7|PTx8gKG&y)B`n&lT!6I3Ghb5$EN&mN5q7EBX`_SVuYUGu~%
zJ^sz7)U;79mmO=aJwy0=Zxt23w@BPSGXE}phZZ!iR=>CSHbV%p?ArRR`8T1@ADO|P
zuZg=WjE`g=%@SfF?490Ie~8`Qk0a*ZY2beV009606jygV)&Cc^SN7i9y<8Xf+9N*4
zOh)!7QlYFALL@08yCi*;(V{3Sl&tc36DbiT6e*iTwh;RD`}dsl$9c}{obx=-ldVyv
z8!wl!<wJkm%B^;=JRy;5&JtuWXC*xD7+S%IJ-12Ef@okm8uu^?RE7}wj-!rpYgjJQ
zptg3>0=?c|na-Cah=_C~Q?q_!k&Sm<@qP4geIkR0BuoN**2h94gbl2rWaP8Z5(Ahd
zRYqn;E5RPxB}LnrO)U2F+s%{)Ca7a6i!mNmgc^?s_P(Jl%qK0RSm+50gnj%TbI(x`
z&h~T{xG?_3g4ewxgg>xBZL0kS^&Jtit8YeKsiFZI#+)Gy0tX!8J?a{3Lxk_Ip1SU$
zrGqxf{73#zxu9bf3peg3KugxH>un+QAUWfy#)R>}ZEE*^@8bm6uDiln&%g+^%-gKv
zt-R2FRh?~(od9NI-Fw9m6TCO&jJFKs2mQ^1mA3T?z;#C=C-^=KBwBM?*_sK0<b5@3
znn(o@Jusvj+Q0_s!atU!OoSohd+zX>u>v&d)>)J2IiURznRzi-6jbY`kDifMfP38{
zb3GTh;NS({>x1p$@LXwxXv(huF?&uNnvvjvj?@XlD-S6cP1Q<D{Z~JYk1qD+@q)e@
zmYmHa1A=Y7{z7{dpp$f~aYm0HmNr(Y!B=D<r)(v8f3^b5IG*Bn+!laFVB0^YA`cN9
z7JVmZ3E*mXz?^AH2!z%{mTM*zpwE1&Qlo$XMkYlqPu4|%V?=_nv7QLu$VPk31BlQ*
z8TRqChB)Z_oYhV(Q399ei@VoPDuUS4$<_C{l0YkVfz16t8F~x-rVMJ8z$dM6Av;?d
zj@*;0FsW04)!f3>BUZ{#m!T@$F)IT%ZSv%Abg6*>8&fh;Re{mBx3*i{<$zBrqRnZ6
z0v=?o2>D<&phIc>g+2118Qh*Q`ilxz#Fw2InW*6Jw^*pMp8$;tf0;uD)Io0Cf3!1M
z9R>^QC|zSj(AdTE%dS)dGHoKQbarb(s5n=R!Eq&c@{+eb#zqsy6cuH8Wwhbwl4N%5
z4-$MZkBcMLYr>oFT&(m|T`(4$VPJJ21L?JGZrQjdFa#fXx#+DAYcG7fm~&NNdt9Wi
z8EL|5O31F}2fM-YS<cg;$Esk*D|(jBLKALUpD0aOF@l$nPFzS=gO!tK4;%>50LR4>
z88>qQ=6#X9H4g=dy_JGa#_DjYisY(#*BE{^(GKNkQsB&$@(Z<y0yX)pY5Omm0G+dk
z$ptb6R7&^+2G>;}QXw>~-^CO{Vu`0r=G7o&$|3wNCkY0#w0mlPnZhIPhBJmLY9Q_S
zNcqt(1?Zk*;gNAQgKtm$O+tiKp?y&($Nsepm~09)=cSuLz~7pyboFG=uNijO9VZ5Q
z%KRTbUonFw7TUpC31xVr!!ND!hYxBE+=fL@m_a_fm;0215^z84SatDZ1CLk(+=^%h
z^%kROpDz)1i))onNp53y<x2_dt)?I|ec+zFj{>m8I5)Y7k75-}IVXPZGX?8u-Yjzu
zIWRjZ#AeengnxGEWomq90{a{c%!b`$;D&4EHYINbCx~21+iPqBeuVk&`&%S|t}5r`
z_tqW!ChyTRlFy7GG3~TtHJupb+SWIYs?ekSM^`j&6O94b?g?2(2*II|LDwf^jHvZN
zRu1tdfI;8XD^59n;L~M$C|1ji0w~?*)I|VP`&s4ZxOgDz7z5Ll0T#rVVm+g*fx)*&
zx57)#u!HMJ^0|?4R%9<&e8L?wf`T!-TLCW2plo=XckCf6qDc?-`0Z*4ow{B|H05+)
z(N!>eEsquTS?sqci{1^s`>rZe7PhdnB-PP;Pgdl~yd5xb-vBfl1~_YdR<T1j^4Izq
zSka!ZmhxRg`rvHmaERYz4omr(cwe-L1u>trXzY~uw};qxJym%GtFFQW+D%!IWQLuf
z>@hvCNasIC34e<ff2y&MTVO_|gl{K_&vhZ?>`v~@;Cg&x<wII#1vC0}pU%jJLl>I(
z*|*b{`tfjPt<u<3X7rIe*Pbs(2ZGku#EjpJ;j)5HWlzO1qeqJ+$N9RnA=<4w)_!mX
ze;aRG5PyvsHH_S1ThrBsY%Rlw@uds+HF4fM8=cI^<7;|tM5z{(`iV$R-d)DE<S3mt
zNGvER2*Nxiw7}!2Ue#v68cqrkmwj8#f-Y=F%Eaet0?z3bGs(Jvs~34H*SWAF>!YsT
z?*uhLu}{?Wd*&a!!+YiMMFJZlU&8Yg^EE*4W9=wLvxB?5sGxC>-i7W;^9Np&*8t+O
z_^6#04T`SH@v%2!N1QI6VZu+<p(DHN@oFF~>Klx?J93o+)vt#|zp_vVHUaB{M)&BD
z`r}*VY;G>}WYBc@>31ram^YV;Ow*%jRDXoeiyNItyKsW<92FerdA-eb7*VmFewLjL
z4@w!N2@{c}LZ9yOO1J-*kja-mvY0b3az~9+_6`b&+`N(YhJ^(Y-r24^iR444tYxcB
z&QhS>_D1H$6;@P3-8p}_njfX>&<+zcD4=F+=D%BO7uw(s8_4DnL~9?0TThOvK~P_d
zQ~xSEx)Sj|u{J{pnLm`@6gi;=q~>G$nfp1B`y-xoQ$-Q<bEJX0l1&Y`GdI`&26H1;
zF89IQ2~l+O6D6syP8I6rn_ny^@Svxaam4jjabz255P33I6}YWG|CoBri^!=>?!oPn
zXorP#uFOppCV7q+x-9Ua9T)Peo@i<Gw$Frbm$fQ<``MV1zgGZN<%Hh<d0PfO$xm<f
zJ@7BCI`(|EK@c4qmej-sWRd?09x$Dv3g>6-w*oAMk;3?MTQLQBbTdzLMsh$EY(nPq
zs^>+JP3#e6o%0Il;7}0fgo7H`y?s`uQ6+{BqV%H79|ZKy-%H@oiW(&CIv3Y?Spqe*
zoD)#@Qbb8^`KF8B6j*fS4oFXyLOq&A>9PY#=z(Oy&439CaNaAwPSYWc_B3hDiMT7H
zXihoJ+5{?GUv=U!|1N`;?|Z#G_JNExqpw=FVd}v6=5K4|A6fME+RKp+LseAyGeSvH
zOamCi)fS#h%A>MnFOHb2YDn(!!sF6^`^h>j#YJnbfCw46q{}`O<o#etIzn9w_K7qe
z4+tb6zqjvku1N~AJKMD!6s!$?*N+4&q!Q6Z!QALHD=K0zG`Y{*ssoCxVyv$V6_EyA
z>>=GWDk2zg=m~1+f!FUcoujvuP&WOw!s?q;bn0x-^{g6w5GZ8d-<nK9+_pR$m*c7E
zUwY)4*>0$5JJC{Pr;KQqm4Zg8R5USi=3MSaLkK<sC1dl-DBm$_Y~~>a?b^)BZgj<<
z@qPB&og-vKpJ5=!Fr<c#R>}spdIQ{x*A9ujO-3z#=bUP3RFPUrXh#>TF<e}pCis_-
z(VcfZLED|mNQh~H);Zr8G@n0vRvb=7o?is7x4J4Ju8WSkB77#G-?I9Q!b1M{mxqL}
zRS=MXte6+&gbAD;I(mxYtBfL|?d#Bz9O5Ce1uK@BzytRR#;yz!ikl^=C1}c^OygWh
zp>`8^9PZV;oUDX)Z!BsY6O=#&B>R@g4ioScdlB64sfeupq<yU55k^cLVUr`zOklk#
z;XpDU5v{#Ent%D<-6f6foU6ZR0`vQnOO8HMK$Cadr?j7NB5y8k;SO^X_!*x!^K_3q
z;@`0T=pD<9Ok;Rh)>e(-3~_yq+AE7xBPavRp0wytt}2?$GY0b?hwt|K$e<7(-|B#i
z>v(#+qt>jBF?834z0hBlLS}y(S_e!QaGqg3#V=g|&YIujR<tG12|mX|kTiyyTWl$B
z`2x5c4Ad#i6GfU`54<w;dvF7S^_x9Q7|c&uG5?kmMv<#ZF$NM(@w)ST8E#@2Fxv+*
zF7^qai=t=h{-!>|oZg71itaH2om$1P(P}=#Qp1t3ll2;7d!L&z9%%@w_xNA8H}RnF
zD?EDL^&MD_5p!;4*=`sJzdt9t%7tpfh*IlYomeeaDspAQ08HC-{v<TAqfJRw_t!_?
zVQfkJcoh{4psFU7C-EyQq8_{)Q~9|S6E}tL2Lts1&k?^#Yt4*?zi_(VmVJS_9b?mw
zuGWK~XzeH?Mn>cn+5Muw;4Wr4+t_c#s0YQH&YrSN^oSy0q_VfB1V83z%2IJa7lK?X
zaziX>k&~9tP_jc4o*eZ@O0rr921iKg<C%Z)+#cpN64r@7-PvXB!><FI{Ent78(a9;
z>9o}G=1=&y-t88<C~auJ@oP-r?Is>?9rp7y-5@T0{hVOUuokF{znS}QWgXX%R#^;t
zIE<HkjV=wb)q>ZlXAT}b^&9`&-RDdm9K+q~EN0yrH36;sQ2K1Rh8K`Hi<<eS@ZbIC
zENnD1;S&wzg^}$lzRxe$)ZcXmm%-S-Qpz=e9hnMc=da*mY~!8p@6X}PFOywo6*XYz
zfxA?m+zNiFUCV1BaRL8Cjeq3-KpoO@snp@&W!ymbW<jgT5}u!+xSg${4oieXw546k
zxC=>Y){1)t7jm;d=}}FEDf95Oso7;bbk$DAba550`aGvs4OIAH>Re)^y@JQQlVWW9
z@f#1f`1<U>E(*-jTK4>Uu!2*?t|r6I2EM=%o3e4_AHPI=2<ov|#qIXrP6^Q1!o5AO
z%vJx>ku<$AH3!(&@cN|m8@88r@Ibcu3sJIaVDiCxIBs(dUv~8rAg0lvZT$>43r|(}
z8pA{Lnr9ui?YiKUGeL_Uhnw1K6{<kbw{O;(P8;}#xo327p7iKZ*;Nz22{M!)GWT^t
zoA{fW`;SzX7?2)g%knNQGWdtHG%9;+;VqM&qGcX3A;RyeXrByanAZyDHYe=h+Kc`b
zqA4s$UM*0#=_d(fS9_hDcxliLV(5~178@#3P$;|PL;`Z}gw`yX7OCuVd>Zze9eIcP
z)Y!Ku!DoA_>XI)VioYuo{X~rm-Ns3VWkyOc%f~KI{(>H5jy{xhpXNpk9p8@ny;1}U
zH)d3%&4}RKpL82HUexa>t#-yq5hOE(ONx4#5LKD+vfmURx|l6YWnUnI`@XBT4FxPH
z&i~lO$b13hbcVMuK92~SCF2y`%WO!dY(CmOQV8w!YE4UZCc^7IWY^*fcJ#sJfYrho
z5fr-BUMM9^1m72HTa64{$hz97gS-46?^VOv-M<9jSFhfzZR1AmEh?->*d>tw(Zb;S
zDghD>>W&^J@uGXy3?^cB(umj3##Nk&2!@e)Q6A-dC<9f-RaVL%CW%ow6-^?fhh!Vw
zvJ*gEA5_motI8oMkH8;i6N&IZW+&&bfDn>*vHyO&RUUEA_Pi9?A_66(DVUp91hJTe
zI<-U)P-jYwVcl&-*rwylq2(1r^nKF~HHM0arkk_(X_OM=*o+B;?3F-?+pk0^q9oMy
zC7@(6jRaRCzGaY0q|m-A;_t$l$VhnhPjmA(WvG7jx^0tR2Jv5{<#_u?1w~kVV9k$F
zfwAIGwpaaR(ZT)Y23(73Xr=-?`@mlfs@$kZ^{pIQ*5fnNpQ9k+aldGpJ_`8wN}b5m
zRzMq(0ks96sK{<W>PV)7I#e_nd{r+apwiYJ#{PTi=yVT#X>pMTq_qy3Vls*-g?H8i
zchx`>Dwc$6c3PksS4Y@?MF|BJw-@Pr)j<5snI-}R9mp)bq*J*>LSAu7dGAS@NSYv;
z*e|UI5p<W6l?}*9g(kMKR7VqS{-}JQsBHjml$8Q&4ymBd2|2@(4GomSl_C1o-4G^8
zmNNs+sz|<XwD?J&23r0-xaUC>1|dFwicfH<p|P|lt)nUG=+~P%{*)$wb$(IO*(5bI
zQNLUj|9|YIVT?zrjNwAa!jQrfHI)6y`s?LJHRQ=s$y}Xe0yms@kxnP8A?6=fnwLGu
zh<zb#uua1he0l|BHrfBp5ndRiKU74l^OF)1HKw5Hr+;V7SQUjm&;GFSK^`srsG`zv
zn88zC)~B{)735xL;3}~xjru>OJ}%KRgHf$r|E+yeM&1|akNIB`MMWYVX^R?Wpw~@N
z(%eHrpN4o<Uq9kQIZG+ho$O|?@R8fB__87ryen9+vB8F{+#F|4zcvMm$84uf0|9Z*
zGcw;G(IA5DLHlaIe|~l=x3Z;A9!2%gC^Y{4iAyOG?PY(Pz#&_bWyYK=>b5jzJyu(Z
zsr}a`QhUY(DB5+Zg{(4Y;Ml`$rDHRg&h3z__}|9RvPp3~bW9SxIph|8_u3kkMzHyj
z82XQ|J0wmV7!gHL`o341Z*F6y<iSbw6TtVUK22Jt5UPnKX+C$Q1*-Gpkdr?^Bj?pM
zawtDyuZZ1S$w?2-vaqb(A228u_xA6;%!3p@>RKktFo2jEx9s465jZnATc-DNpa78{
zEG5qvAaKR_vH34U_?4HKtW3{})`T^?ou?V#sM=C@$u2{Xm3Z0PU(A4BpG{eQ+0Ou$
zVxpvX>bpU=;;zKRGaAG&q9NdNg8}B+9ThPj10Zumwx_yp;(!0xV9po=m~?$FiYU;B
zh<6{DIhj`QcwVBH?Pq#euH!z|H>3yE)=UiyuV!&Ca}9_3lk}kdqP6B7K@Vue-yVp4
zI*MP|Gr*qs4_8O_$4_q~b-^RJUy$~64^B15<IgtGLF$8posOM4&>hwgMZH~yPq5yr
zc^g9q!9o|A*Ohc&rCfy5wz(BcCU3EsIMKo9i|OVEGPL2pDx;rTE&bTI!@leFW^`~I
z`g;^tw4l5#!ax4`2(~0#$GX>%4!#K4*hwGJf|DNJj~kh%uwx<Uz?oP&pzmF<W$n>~
zll9%#yXSsl`{sn$&bQHlpx%Drn!TFfLHF_0aclwen+}q7q0&PLW#bZ4s|Jkzjw;Ic
zTf+K^Cl7yZ_&0~<cYBA-G~f?G$nA5~3g(!2DR1460U)bxUGc3tWHqg7cgCz?S2OuM
zZfi5bU~3N3cL#M4i@Ee8A!;4d+&g$>PLT=zL|L5M`bLFN|EVKqBR8?%Jr&zZzzn^$
za@30<RETo$=WIE<h1v0+9{(K60+F`3L@E;%IxUWbv1jjKwVFEdjbp4pGmt7Ic83Cd
z^(Xufd(i;yZ4o_jY8TiCOjLLP1!8bJhs+DKU>l(tbeF;bk~~?xGjG%&-{X&MUNs$@
zjEZZ#Ce8)2SJpg@#MB`6;xfafZF*psY^-r9<OaU-+p4>xRN=7cdHE1eMhIPfWXImd
z1CL@f373aeV2UP{(Y}`nLJY^%l{xqzA?ZXDvx^EWzP-w56~qEhDypt$g!02rEt9D`
zePpP7FYTT#!v>K0W<+L90QCN&NlZURhWDi3n@)drK@e-1*-U{DNTo{tRc0cC*xypG
zwLcu-Hud7$gr5kwaV;m1Yn0(JVi67G<A&AoAT@^lVlXUS%5Wh@8OmdgK9ylSQ2sIU
zJ$sl07!5ML3UyJ2s~NU};fcJE#p1Dk{+Sez1LNrK?NJ6xx*Pq+$M|3ukDW?Aw+yiC
z9=BEeS1+r`6i4zB00H@9Pak>8!WAXI;HV4A@T8A0A+{z6G3AyulP~4qkd1Ql#cpMA
zxS3`jQ7#PaqW8}gXehwe)}n5`1sUS5c%}-(ivnXUbB);x0_ZNk@cl7OhO_^jC;6Th
zhwR52lU^>0pc`P5XZ1n_I3Db~pqL>E<jW=zdViGQ)E+^C>uXiW>lk+_KO_w?sl^3V
zrOJ>eyv%IPL;)Aoq5C1pGSD`ExM;&w1+MMCWTw_mftQJQZar;~g<W5`oZYrnq5k>>
zU9Czg>>OU$MZYNrOJ;^E36>OSdVb+B`K3DC_}p#4f+;{f%lys_Ix6IHgnBa0YXDu$
z^+(4q5`c(mlQQm6q0i&O_$do5Xn9+x_NJW(y*^dv^_0}1f$QN=YLhmcxe$E$CZiHO
zRX%7XmZT0<!iO)pdg=n%e=YHp8VTlQTP;3Ts6$aYqR->j2gQzOf`2e&P+u-Q^SM|Z
zk{Xg;-tIMk2l97n0#(TnYC44+J=EctUUQ4*Z9{nZwJiDPA{my$FU?JL|LZ4)-mcT<
zpMP0W%utM1frCM0zO#%}=&iEp8cG46H)f^G^{YUWW!)Xe4K>(o{#HF=YYYa)>0Zrq
zDnRb|aJA&0KFGJ+^V@9G7*aa6*TRtsbO;3BNh=}2mzgi3F)1d{8~grKh@A?^M4j_^
zkV}NZoGkAA6%)v%aU2~kAj6D~rSkCrd8pU8`>0~KDOmfIe#v~K42fmS&NlioU^+bD
z(RJ7q3M6Mt&!>=}BJjK0Z7XrG(mato;cW_R64Juq+DgzXXTB*JF9-zH_j?Xnn8KHW
zngaDEBBZ@dxV*lb2c+T?4&UN31@dq7cv_tRpA!CkAsJSf9kyo6dSwEuo2MRTT$2am
za#H0QH!U2OlnWE_Gl8Tfv%^Q0WTEr;op6S%6)d{Ts<nH^7?$4ss4j4j0Vl;GC!euV
zEEsQpS%1kGJ~q-!_=ZbC*8Rdm`-|>k#y4D~R7H)UC{85yoR2tE-AvtC=lOzbh*ihE
zF9O)`46PH57J;+DkFI;-llVx&bAjtB0Byew@4Gb!LPgcI4I}+8JTO#=`DZ8wTQ7Gz
z$g1*#DC@wfmY_wP7#8#VX{HhQ>K4r<_wWF_l*oyqfhD|lc{aKFi6Lyd#5MD|bAh>(
z!?l=%Wjyg+M|9Tb-4Jyt%x)-n7ck3HQUh|9@m$fms0%E+;a<nyB%ujraK`ItgEW`%
z>)jQ%<1qtpV|fwCQO5w@KR$)^B`o2y6{8bAvHB1`<X$Q~P7AkxxTnw+F5;s)OHxBk
zdJyTbqp*qZU^Q3$c4)6H;3|oI5A)ddAj(Z|%GYKSbGXcN`qla`{78^>m-#_m(0^C-
zdH3NptSU`}{{=paH{7_&koHsuZdG4Uy6|fW>&X^A$&)>UV}6VCLR>oFo2*f4-8+xj
z+SDJakDbOR4>tAPKdBAZ1%H~xUzx%7W>#k>WK81M2ubX#pR_=`x@OGr&je=HqL((;
zGLCQ1%QdwbX@Rg>=U4Wf5zO5G$;D~X7@p1EA2Cy|35vls?~ZT`VHpNTu7{!#{LWrK
zOI0aN_}zB-#RzjhW>qQg%YShg_t#L-2)L#J52@$IEIU46GR-a457)lowXFx8Be*mm
zM~QE|?`%8fHLzI3ZZw38rd_k3WU7OM2k#@9v}WvTwdst=_d#5!UFz}~PIX{>&d)MO
zsKM6fCahKZ2JixxMOmGzRA~3^?(=wc4|5kD7f6;Gz}vJ;X|2VmK%@C2x%etQF4O1g
zm|61$FQ9)gQgELF#~62O)TR{Sb1L3%w(`E<btOE@{8|*ad}x1kPkt5NR6}#0qwNbW
zx}ff;m#GGy*J#H)>g)0JyYC7v=?&ngS~5w7&sD*P{63F~(1e$%54Eo^4B%;hHFMY}
zRA5G7bXes@3w~Jd>alaPgLn}`aK?EN72y08zT;1QgL@~8ycZx3;keV8j#Ex#$lyI8
z`|a90JetjFe|*I^oN&3WwmDlFxTXgyeb(RO3LY=E9vKefpDJ$dx9%swK6meGUyTpA
z#`KI!`koQ|OhL`TIcX9+?8WFfe}BYz_Qg|^PLJX>u@3TSCzar9z@DAZ&QCavdg`vm
zt}(po{6IIuKmYilZ$ZA|MIYXJ{+!__#|b=Q>yn>|m?BsX{vP<&{uw9NW%*9iPvP2>
z(<@3*L^xyM^Il<R03UeD%5ZOT8egc<ZY=&n0B&Qkz<$pmTrr7qdC%V&{P6SV7jI$&
z*d5*5kUIArFOpfKEpwd1f4#K*%J@(LMp}z=ay>@y+O1z?=gE1TrM2N)hp+;)-D)n$
z9UjF$MxFYJ9bUvKeez$Y(&ZscE=(Pzj^jCf5`iKsOL%poMwtV>JXnT(tUK&6i4W*E
z3g53<!3hRUr7UrB5ZA&xOgb=)|8DnhwYj~9&uMm_=lLrOZ@x+NLi!AT{=e!EYfbBT
zRc+Yp=>%D@Qzbq$Tbaf4v~-HZCH~;D&uqEv*<~T?r|3if{CS+ry{OewvyG4UGLmX<
z$iUVE!9ZlXi0>Z{ITCC`g9@8B3kQ^CVALYGjcs@d?<!JL?H{8>10KO=7Mi6&KJ-IZ
z!~GS!*v~}4>OMWv3B8_b_K$b1uqRc41#9?~R%d^=>x?LbKY~YxRvIiCsJ9efuj4B0
zVnIweGy3mF@4G}tDTp;QJ(Z#K2Y)_d*7sG44IMnfvqV!N2^@2bwT&Iycu>;OfC<Eo
z@``tKeZ(cf{Ay6Qi3bgeq&9F>mvSL<bJs(uHzeR~<^fy9-?ZrS#7?62Ngm|6CHALD
zNdl_9CA?)C>Cv;c75lH6d}tq=8)>{t9Nv8T_PFpFBdT7=Rq$34K!&WbeL<JSVbZYe
zWbk)p)E&@XCg321;_qn@^N)+eC*&8}WXgul8fEAluMj~L#l%N<{>2^XAE^<i*b#f!
z&9NWW;>fAN>gL;P;y}mL6c*RTg+%r3thb0#sER$GyKG(@<m2gXL|))Q{{sL3|Nj)2
zcRZEvAI633z4xBSJm+w1&vlHXL{X_wND<$%Dj5~2NXd*!D3YY9VMLCGl$D)|22xg(
z72$V&|30t#b>H_NpXYkNue<rS<St(|WyYTB_5{Cpc{n`H9{Xe~%J^DA-Shpu3d3W=
z_*}P#0<Kxe=8IFr8Kc!_qgu<<7%w%lYQCOQ#CD&>t*S1P4EB{B8}iCD7zgz|teg^+
zux=u`t|nKSLAADSc+{iCaI(IU_2{%RX3j5#N-D`QL_NCv1{8G|&WuZcg&R~Ls2=`3
zwMT(5_FH7+<7qucO-jIfe|I(PG}uu|`liHqk#|`46{{hm*w?5o8ybk^%l;G`rospd
zvsk{pmdv<Ads8)%qJ@6ZKTpeK)EMu&a-*t}DU4M!A<a&kbnrv>uts)|I-~!6xi?<}
zm661`-CrX`9|4AiSAP|1GDhwU&x(y2G0a9DXZdQ8;r2zpYwr<l#?8ZrC9Vw{Gc1nC
zog_I?;p1r*Y_VR4VWMUC6t`&%+LEQJ?R{fxb<=E75z=E!u~l{(YnU*clyaYoZZL(F
z^m|fJg+7DM&<kX>HDM&g`uRzSTOf(Dx~odskg?O8Qj+$Y#yIo-y562?E4atn-EJy3
zWK{lcv2D<%F*I3D8)gLnQ$~+Zmg|ujiy2a70z*cOh+#@jK|LK#A2Mi9!pRJudjjU>
zBr2o9NIEB$-4@hS0|HI)WX9SA&lCzbnPFMOVX;rt4zX<C{yVjU%;+B&=V~?9WAxOx
zdZiBAVXc7Z_J}z{#>VN-qlQbG42wp~>PM0G_~teA%-hS5v3hM4>07A^BgjQEY3j8-
z9=dZ~ZcsH~tbN>(dXP<)@j|x2{aTkj&W4H}=rGe`BuVI*@dXGo+}vL5_rGNiz3#t3
zDS|qTqyP!TU0=o6mu(S$ccVQ59^N@yTcO3^y2^LZbD+DnO+T}Mt<w%k_hy=|uGL^{
zPO)XZ+Vh)GuU8zsLD=EQWZA>p?^GG({GL4x4s5trVi=i_Ym1)iY!1!4lo?6=$<Euy
zcwid(F0y>a29E|*$`{xa7|Y`$#V<DsVNQ7bx`VR~Hl<UQ<6@;553)J7#(IdL?!Y2v
zP$?Z;O^<~h(8U?_#t$AJYDA$L>D~NXkdB^r4$BrU!VG^IP3o2_V(_!eWUq(;p5$*5
zDca7<c-miOFDogIFIu@rt`89~_I-Y0;xRkpuEojxct>$aE$m2S8?=VG-K+N1yOwId
z#k~5XwN4zQbe)Vxf2?q8znGuwvEQ|+Z6)olI^s|f>9UFuwZe;L^#=|?Uuz>qqU=sC
zis8%9n~U>wOR(q`e%de?Lda>m`HR+zVO`MD#)hL7=$dS@yz=BT@l`XruQG#q&s_sf
z1+UEU{?*CC*5Bhq|K%Yui6G|s;lPc)Qs%gwvAd|oX@)Sr6mUjnlNhoDSe*q9nSo)S
zq@S>|Km<$XtPXM%gNH9kvFC#+e#$rruMuNG)mmTolC5GeJ2sXj;b@B86%jnw4zR*+
zF!1=pDCYM|VKz>+CJ4Rj$=`jE9R?3xAL)7`hHYi{A4^-Api<zGq2?71Tv$_+JjpAL
zVWV$j*3W5(*d-?^6~_hHu!m!pqQtS`VzyAWGYvO27~|nCJop^9G)!ibz+g+nbMbG+
zXmHtibE^O!9Ajx5Ger{Ucw@5iGR7F+xn7BzzU0SvyHX?PZb>}*vnKt8f-#o*v+vIx
z7KESzW%Q`I6nOS6@!K^RVP$^3+Vlk>EXKdy@1-k^KwmrKbCE{K9e%NAJX{!w(|Iy^
zrZOnJ@vC;4VuXKu?r$^PMbKe6yI*~mERJ`wdjFiJLT=-^FCT0~QJS=cTAMG2gw3-f
zKWeFPq9yRgnuy_&ZGW4{f;@sw2%kQcNd=KbPv$id2glLLH5c|PqHk;AJ-=`&_zeQ*
zTWut;IcML%(-<W<U0F46?L~!U#7O_Jha~o8-imc}Rz`~F9iz{#RNQs_oJEe8!u(j>
z`C^g^y!XwID{Y~IV}f^XZKX8A<0sr+3aNtgQ)czJ9~C=IHq0GcmO)UnbA;K7D$K-l
z=w|U$w0Iw)wz|q8jCS1Ba#{^*jvU>wc%O<+;S2jZ9?K)Ai6(M>Tpe-SbM&-+QSl)-
zj`CPT5vnH^ul@H!1M7Q@?-f}a;a8(ARnS!l*^eI9p8BeZE2r6<t*;s(MwTyBOhOq|
zl=PMHPA&XQn95ESGse`^T6fKUWpo!S&d5L0#un2vUlwzWL9Dqocju-GtXlU7&u5b$
zmOAK=M5950Ux`!}u8P5h&e>j19h_@CI`e*jhU4ln5}z&AFt*0%$5Ren)Lv^JSt&39
zZMR;{iB;-QVE6`kr|5#y-{N3&m?^SD_mpQoQ%8f`A*l<Kx^OQ&&?mjo3>GAc(~A%d
zxa9P`idWOa!$+=3lcwfK{*Zb*K}-|N3YwpUH1x3ZUSpkywgp;kd9KrMXrfoTu?bVU
zxF01$;*+;TUYwHi4izm-wS4N$iPr^nM3h@i&<YCvff4_m(n8qrHQJ{>>0mtyp8G9W
zp-oWOJ)}ts-m1p5$R!e5WVA*Cd#w?9VQ<jzv=)?1h3;vMXhY_~myYQh1Uyz<xy8Pu
zh2ARbIsco?{oau7OBeuxw>w0e2eh!G`D?)>p^29Z4+<iW0{yMCQhFs?perI}zEU0B
z65j)OY5-$v19ui@Ef6%V=$lGvs45M=UOfhU9eI9&r&AO4>GY4W$5gQUYyBN*J~|G~
zb_jm6(ge@?>Xn*4CG_O4ud$M)BRZh9tmV80UKb`VXQwED+-Ae~R)!9~LVdpcx9ZUI
za9w@xj4WiU?L1p}={RF0crtQE4Z~|j8aT?O5G%%EaOW3r=G2?8+oEcy-yQrYNm&99
zZ0q!wUju3X`P;^6t0HYtCZxGl6i+O5Mnbay(XZ}-;ub1co|;>4|4JC~L#J#iJpnH>
zb508<Wvuau*j&acgm<ZR^PzG;@UQJ`zTQe$veY|i%FmCFWv?s9cL_A=Dwv4QDByY7
zoyPk)Jm5G`TgNI#z}zvB9BwWTkwO|Fagz%HUk#oXp0q|~!&_<g3$jSmDY|E>#fgiJ
z)6*OyR)}$J3}WGufsOPx7b9T~?D{r%<jn>vtQ;`0Z@D0axIV{b!ELLd@c8aQiwBm_
zT`bNQha@(>KfT)MH#<aI?raYfw?tNagKaOT1bz~6tLnPgvAsJtN+;R^g!ufe)NwJ`
zIT*UX`pXXAn-mv~0dvH4HHOirM6pm6eco&9Y9#n3zwg^%j&`={z-$pw3{p<bFa}pc
zdQ;!Gil=5McfERfVWSAP>rU1np95$4hXuLy%&>nv_Ip98FqUKVW31vh!R}T0Sg61h
zPjY6pOO%Cif<@6?B7qB<$MWuR%9^6;`OzlvG9gSwe>g05mm7OZbJr?fWafPJ%*dFB
z5PmkfT--d(gMHqa`%X!lfMwC!)>J_V7KhB_?r-CRQ21f0e?ATLXc>yaq#(wB+zPw#
zfghu9|0Dg;ra|!KQl@E}AX<Mq?{$b0#6|aPVUJ2<9O-&dVBaqY8v8IIctr@pujbOa
zHW;HKIQI(+uMmpz4%DV32}6-OTbDm<gl4rpEe|Y&P`<zZqvIJ76zf^#EuS_*K}FPL
zORNx<6ik=dE{VcV!z&iLM&K2<OceYegsAg$m)t5bEC5nKt-l?-ne(iNiWAdQ?G6sY
zsA^I<!v0Gf=jVD(_Mf3buf@sHzd;x(lE>fanMgwSHpeSbTPos?*a{x@5`p}cZP{Fz
zQn)9je()<B6-k0m&ZcpQVooHtDU5^3mtQ??ADbv>F$ov{@j?{&^PHwSDYDqDw7<C|
zkAlY;6_*}f5W@kLK(#u3d8{*P+rtq>!4VZVNotHZ#AY40#0@E+ps1How~GQl!RvJe
z5fZ53Oa6LqyAm|p<D2U?QV>x3_97)w5+Om;eG}`IaWwZ0jn$cg?Z+te#XC~?;j~q3
zcC88;Jfl4`wowpKw(I-k4{6-h{cnEIMHN^2ZqH<gQjmU{veaQJ3*{~c|KMF}*wg%R
z9G595d{W-1m@5azYMF;`4yof^ipElX2L;t})=y`}6cA=0Ba)e_0gg=B5FbS<thXJ!
z$(OGP*39(l^|v+gQ>{PE>=+fLGjg4;uP9--MXn>iUJFIS{^mQTsNmlBgo`Uw8Mg)9
z{Ih$tk(R-#lf&e7@NN6kkJhOme9QWM+rN;&THvIgC}|9V!Y$=pnySdT!|&77se`J|
z7ya!TnVul!cA0}i4fnmdW;O2XVw11lP+%qv0Ta&FA>Y)%`{P8rRFEEW?b3EmgqmRJ
z!?uFA%-r0X{%4YVSr1(X<fR24Q#g2=-SJD*fa9~8_D~;vY_y(W>Gv_i(k<3jqjj1v
zsxt_&Kd+CgA#AO4`_1uOP9gZuf+p5lvvNip(?_CtqIpf61vZ=%h$phN@T2b3wPSkv
zcst;{u_>GBd-g`jO_JKE`|Q8acTo?vS`LAdx2%9&ZA017+W1uFY?s2&#X_uWwMLmW
z-hA|VuFT|U<O8>u4aGWW*GtgaUqYaK#^0#ulQw2`U|j4<!s5Yw45n@)vB@FNu}d2f
zw@TvM-)bT1ez0QE4M3RjS#52xHXL{Fr_*IL5j<GWHaN%hUi)_`EN<EuDJJeMJE?<J
zF}Z7oM#uS$@vj$pwSdT*JAVYL;)PO5_@XZzJPe_Ioz_gQoq3`7Aw?OHcfwwFMbi;H
z8?Z_4lqNF#bGe#A6_Na|>Vwn?I&L*5h$}tNKu*c)0MAibh~4ZCnL13zsdm0+_g||+
z`1Yx1{kc-`*A6pW<w?itx1TQ#Hml)5WnXiAmN>R;-u{zDrK5Z&Yud*KRZKiFlUM8)
zf&FQxwBlvJWXI_Kq#6|{behNoMhc-!Z}w9V1IThWA4|EfjHbpva{L{9xR%=8b217j
zxHYUGenSc2?Pc%QZ|BC!(%#SpeW3jVmrt0jBI>`oUy44;0gp88Go>{IM$FW71UJYt
z=fG)bzY#k+VvflvNfC%x+)JL=FN@0zN~~xoE7B{+o>&E2<K=apho4KN;p*~)6tBJt
zPjnA623}fW+gx$ZZ8j;akWJbfY*}zzV!h~j87qA4e)gAgR07uqEF+g=RtTpZQ`jA9
ziH#T6d_BeNA;HbN1P+R<5G*caOWU^=C_WXtNuWa%HwW`BrjS>N?nW=`E_Dn1;@Rz1
zdQSwt7axa})UOb2RwVPxljfj%QpMig7RF7ZtX+q^S@4x@<XrD}GYCP@B>#;NR)^&z
zDRHktX@k$#Aty7aZP+-=x>^YTisT>V_N>Con4La9o|s}J()~yLQvv)4G>rc5H7i^_
z4+pZVn?g1BQnqptKf2XlhiG-N;bA>5`_^m|Y^%{F(O>d`x>o6G&@wyzzKq#2!*2re
z%_jO52|jE|y%P0+&H)Y9zgzz%(vT9{9rfoTFI1g|Of2#^!TWC4WF!|2f9xnF-yC_7
zkaE~zR+JmW+N1|*=ZvxMQB;7sCNJii<fZo%@}RUT+hLcuF~s`Mr>`>LMTf~TByHdW
zd&S#EjzS|0f67x_?ad40{G$3UQ33Sl#<4y$Ho~<|)h}F?ybxoLaTl8xMB}lKIa$qA
zEWmg_*^CcPml)#)%R<<Ym=r%ANQL1rU-rajKHTvA9F-_6f-tT{$7Oyh{_QV4`S&(I
zYJ?kiZ!-}^nw!vF*>VcPrn3q*T@}EnmW=95h#1(i|E<5VmjV__=04LZK{zTn>eSSV
zV|8Cgn1DP5za&EDFB}yDbx!2FfVw1#Sw$4PKalbMLZ{dySr~0h`LZsMg6xlZ(TuBP
zILBq%=PU?=f1Ooy0<+hg7yidNb%2Z)k{pxL??o_g`lOTPr!0Q`?tk}i4H;^i=Dz=Z
zD~j*)cb=VoB#%FjbiykC|4y=Bpt-3-4E7C<*+n^uxMf^8uqaMOZ`44e!XI%&rxvpj
ztx9+jdv|lXAQ|T;o@@xxmV}LNx3DYI_m$%9avw;L!9PCbBN!ot;#-bBF$*fp|3~0p
zsV<qBzXpfQK1rjEr{uq9Dr#_@@){a-C8L@~2zGCi#hMlFODS8_A=A4hU^<BmdT^I_
z<d_^hMkW}~nS5Ewj%;`9CPVJD^acAY1w8oe9kH)X6V2>~ZkK5kyln{=^d~7{c~Z5y
zTvQw7Pm3<Dy+eWY-W=zDBFcDe;8;1r%t;l$(oK~X%zl&ws{?E**y#O9lXgZ2YYk3E
zvky?Q!(J`9?XL<hP-gjS?&-oQXN&hI=KQ4kC0%*^M-}sF?~dm@)5E6v#Sy<_#t8K-
zi<h2I!|BV4*EsL!!|b#h4`&z+k*bCF_YSF}v-sMdlu!el+6^1qqbA5d@-8jBO9NKs
zWzANr3=v+at(2H+ienri1F4moQ2zEzNmIuV$$N_0L|V=8c(44o!gE?+E!%5CqZmSW
z(2o3-&jPvn1O3j9+DPO+=|3uBh_7w_Ppdat!te5L+W&inf_?R+(F+Dx-`RcKFT)C>
zec63W`$%{Yq4G`Qp+0Co*Ui6gvW94@qMPzd5;|CVUTr<D2We%mSFfiDOvWYFKAt9F
zAR>K7B#SPt_&ME6hyyZyuUa=hPXd4CA>LIWA)wnePGcTuc6f`ZRubZ>jZfTMr-hRf
zX;;Y}bQ~5HKWl%4gggUhkrV?B<cqg?h2NxO=%X3!`?NMf#v+V0n7wt+Ym3SI{dBl!
zG<mqM)kag~zY(^#${5}~dgS2}9VAWHu&%>eIPWR6J)Tg6iQ5BSQw|#ltg24TVRDC~
zE&PgvoGjvI^6tL<OUH%oi}o2&8Zf?3HXS1*F_p1G&G<maTy5nZ7Eg7|2Zin3{8SX(
z??}ROrF86We>iAhsD}QV5n+!m3Zc`AwO8f<9eI<5>&Qzgu+V>Yb&Q!4gWPK^ph1VG
zaN?%C24!SDm36r$#EGgIK@QPwVCR9;<zd-MpwPqGqxIRKF?DNQ&v7QFC`MvGJ}N-q
zsYl~K4i=cwpAW~X1Ct-y54z;bK|&^fNn31@XcE>I+m%MZrQ$_*$uSvp)%~qbT|Y<s
zBi-}f-DQmm)9oaMV^WxNVX(8LOcP=MT8~LdTO+S_Vtevc3H;tG{7<;*H}R<;UYL8Q
z6#}2cmsSmnA@|g#s^nW!#M&o?^sPmfIDhasDPl9zOQ*M9T}PiH?A|ojH~q4}!3h`M
z=I_E-bnDx5+joj^&L@q{Sy|v_TGXIc9+MYxJ-%(TQ^bE;j0VW5=3qH;xOVxs07QLn
zq@MZtn@Af@HGaV4%SN4EhrS6ujK{vM*CI_5o(JNOWYEpf>vhiSi7qd;uJ<mnDV-rY
z6K2zfu9`yXa?>WE5^ij6GZXjlog>z@xBf0+HwD`W&*)ZfE|jM%Fw!0V67M(v(e3-s
z1V*k(j74WoY@Xb(b<37TqHj^eF0z+~GZ&X1rG#>z?2N=7zQiTsPP;tck##gA-0Mi}
zez_W|R;7BqeJjLhH}ykjtubZ__j-5Pug1TWWd$9bRhV!&Qk!gMjFp#%wfd&m@#d~~
zreP#2+HMF&UN1L7n7m$gT0J{{^ZyW<?PY^V*>Repxe=;YBx1(v*b$`nH+s~0H6mQ|
zT)69~cs+W4#_k(CY8`%U9q#3Te}ULixDyo@2UU62Xsm|L9-9E^qg?p>W<fdP6Epw)
zH2CMwt%g*tQ^Sfm546ccWD3*IH~!qLSS8MZ&KR#ZUQB+@nP0YS=Al5!yONX6;K2E7
zthz=b0yx&YMl-5}48zvH=Q7W6qPbpytxrk_Y*VT-hc}SXo$Bt#7tIA(@63-ROJP(~
zyR>-c3=#Kzq{8VOH>^FwvfmyQ!OWbrMfwdx^c`<Cx2fZSsPuKO^p~PI@q3^7Ax}eG
z&htu_m*qoIea~YbJ#h>%A`-~bhLF|ETHcVukFm*3|D+#CKwr8y_;Hm1Mn@N0qHG1B
ze90{$bCVQIx;V)eZU(Ub+fiJT#O(9_0d5zBWMJA<)qZ+OAEuQ8n{J#DM!C|$-Kt-*
zsIWCU5%^Rezt4*WpU4-%VaCtey_52Iq#r%D%=GcHLfQ_WW>IvxTwm4Btpq{K9Tg=}
z`VcX#*z6=Gj(ff@NvrgfG2U4vtQx0}8j@$Q*&zv7r+xYH*hd8)c4>!37U|>3W@(kh
zNoHPH>suTtRz=WIN|eZ`KAN)GS9B7k@l?0+m+g`oG7o&%U%bTtXN#Oh#4ThY@nba3
z&qo94W{Nb6p9UD{u-cKyEsu+P`42iVIb}-ce9yMU5I4n-x=;O9z{xEud-gH&Th}VM
z)S!i#-<;gH`lFPvTdm4*j+w{F+HuP8CF6410h_i2WfV|&GP<pF5h&YJK@z1v^L6pn
z%Xuo;RZ=e=bXyNO!OteszEO~BMCSTdt%~dm6`Rg-8ensGv_)DQmFb<Nstcdha8kYF
zmz|0scALHzIR3>5JU=g{_OfbVrsyYIS*am9MMBDp1!y3p)&5#i*2GhFEvr;%GA`+)
zsdMZwK{=neW4wtLlD2>HqV6H1X!_d(Ypp5PY<!%hZ>5ccdIECViDXDTW_f65YK~10
zQg2XnN!ZA#;#?C$21z?iBLA5M?B#lnhAfdl8b9WkVok=CE9+zR9Iaq{!RJ6ri4J(?
zJ}7E68e;XHiA#me*2v$vwdEQ~7eALc3Zt3#-@x7G8l(gW^{1<-M(JYz8G+3a%sCKI
zyX;Wi2snS6dH*Ft7d)Z)bFD{p5x!>Ks>t1RC>%c%qjE?W`dl9`%c+teAO1U1aexlS
zU*fF3ye|4*b@@f4YhvgQyXIC08>|-DtQ(N5gCH%<4sT|UOkT4^NB6u9-spy95N}90
z(dOYetgV8UiI!2ravO~M{w<qj_AmXgf2T{A6tKO<tIPX^4Zgm3>tj=;g`<k=YTcRr
zd*P!OZTyi9{w!C#>^!OoiL#CwS&BG9BGXBu%>84;L@PdPX~3tTs`>b&5M(-+H_UHl
zp1U9>l>0&r@6~meGrW1w`9qm+fX4>CB|b-nw=g+6{oVKS7#qZQvi5mDqT>~BQrgIO
zW!U{QHD6|3BEDrE5P83uj%BgK<zq2QSQjC>-&}Q?IG4-6+xiy}8&Oy9Yp#He$&;!1
z$|J=4b^!sN)6D*;o_O+WHq+Cj{M>m1`-zQ;OKD_T;B-jmn_4MpY?HDMlJjaJQaqZg
z1HB1c^$_+vQzwC!`#*-={8K~>nz+a9JZBBApZvlq7sSA65jcFVqO8{K&0U9vr&e%2
zD&fm^K?DMDoVj+TuD0-%T6pO%OLz@M$3)i&;dsK2E6rzK*0yqG$rfo@;`sd4(hjNs
zsx8-!Ia<G{)nNN~n$w@@MeeI3$IW<Aq2M%j*R7`Zy4Bg^lef%qe_{{&nKWk3KG5)>
zx!kS2A*WouW7-TC@)-N5G!A4M4W+-4I87u)HcpUi&0v1Q;wzUbJ6iVaUR@qgPFyQ-
zF*3_GMaI5lzX?}XwAf5>uVHyj^nC~^be}ZAZq4qDS_TW=JzV^FA*PKuv-{Yst<EM0
zl?lllY*{9B9Uh%n^{9u)I41Ot^8pPnk_W4OPyQpqyewEsMf(Xyl_D2HiiVH-UMzjS
zxIj#>X+IQR`;ADHW}WPeH-?Nw-QRJxzr<bhG{=>+A>wKFr|sAO7-8OAF7!jq9C35Q
zTGO4wKZyEwtSZU=Mi7%o52>h~C0=~0%A9l@BU%DvOT#`>@!rb1a5vj5aa3l8Rj%e2
z(Jh}fXW>DGjsLs#$Kz)R`2ebTYrzze?add{@qvO@^rKo~7Bj?mm7RZX9{fXm4m$Wx
zV<!cF>VB>B)|?^Y?GjGJxz7;u&-0=*hsgM8oL;4BH$x<ItJ`Y2%n?V+S<T-BlW}M6
z+*!Mn8Djm7ov-V6{U!bl9skI-YzQ^)ZNDZtW{Cpsv^#^zi-ZEVT1I<{A#xZZ*Jny*
ziCdnP-X8r+gcxNh(n#G9mBmK<<q>m))h3-qJslSGc-8*f9%F#c@M&$Gka>d9#Qvt@
z=qlKT`iv$%)`wMle^O`0U!q$--{-|oR^;)!77NenLGn4*wr2wi1jluT&fze2gm)@S
z$y@6|{@`R_q|ZMhSpR*pp)3ayX1A;xNY+K`(u+_T!DZsaxsS`|hB+aUTf%;KNC#zm
z1K7=etq>_Xnsa_1xiJ@(|M{c64p=wkJ&#~rg`T|{zMTuaaAY%`9=OZQ!Gwgyacx$N
zw+72vt`op>k0i4l$|M|q_4R;Y2pi-ivqF{qg`jOwP&%EfjUi*X4uc+cB<&O87<na(
z%|g7}($uwKE2j}T=)-|+EY~CW?L_fE00030{}h*ZJk|df$GLX)$R_(5_j2zwGx{8(
zqC_$(m7<W+_@be#kQGIwlq89ky%M@dl2u43%8E9!lHJemzxU&D9*_4q@Au<8UeDJ{
z+u7`xS*1G6iI-=vi*m!F>bXCrBVw>T|LL%qt2*eOF-XWA<AF~(1$kx<#ews&NRap%
zb=V%fXr=gv7Xprc-qd$Z5}v*|rkmDGhG_NuElU&u=na$+A9^AUr>_XRjol{0#;v{A
z18s$1{fp*^@d;U|QTicrCyESv=lTRrWC+6^^4^*wht|Qg%Y}<iqRH_1htQ@S0-_+H
zty!JRt_aN$za>+$$*`Maen>Dw3=SUHCKq^82?7g(pSur{fn>bL@w~k_JbAIXxbKfL
zsOtEUpIN9wN#jNj0~JY_jp~>4Oi_i8rZTsO-l)T@_fG31IcYfJ^{K6P3mNDq9v!KQ
z(SRNNj6d$CvcO@hu=b+32FMv~dsGvs3C~!M>%I+>2b;8zZSB*V&={S_-I=Qeh8uX@
z1x_h|*OkWb<xdo#C&_kdN>ky`nh{xYl_JEi^zXH5)`m47U7q*8*M{aQhv{h{Wk@po
zN-o|-gV#12UY7gQKqRr;v)*3?m{!`q3oYnSI>eGDolA$;!HJV^22>&4h70s%7!VW?
zA6dzz3!K97jCp%9jJJ&oEPY^rdrM2k!)to*!OAbRwMHERBMVg@{HF^Fv}?g%?F?YZ
zCVtjiQ4{8Sidsy2bs_N11hr1v2#VTwP-Fhnf`|)G?tJ9Z12=>9uBWNSF!D!d|A%`N
zINwmUrEWqO;!a4a4-%$uIR2@OOCA+uUjHo#O3;O;t+#p}@7w^zVdDXl;o1<+#!eCL
zWx$MILg)+~U~+?aiKDa*ur<xiioB<T;^`i3Q4Mnlf)k|bBRU|+OI0(Dqk-hV7+B%5
z0B+gGlHJF2Kxy_;YV8sgWG|noIP%H@Zid8m`Y7mtw3CPQrHh)-b!`9Hj(wI8pE#&c
zzuGs3_l(V!cWTf&%NHcyYzdJ8EV(T=sE}#aIMmFi3|u|$q?UQCAm0A$Laq-5&L#@o
zznd=)wMm{HUGi2SV0itg);~>nsH+_pnj-<i>j#_n^I3t=-je9Qhcw{Xs3AwPt}wJ5
z6aVq=y(RDuKl^?)mkc$^yg{dabAqJxLJoV3CHOjZoR58{3d*XEIXWT>MDf#OX;Vs;
z@c0t(xNt@p<PA?rRQ&u*gzP=EIGJw&Un52oZ?9E?PQDe<*L&NU_BgfOmu>+khsBR?
zBNQOva)E{P{V}G%;=qlbd~;a2-F=&9N)~iZotM8O@RzCdG<Bp@(;Td<b1$VOO2O5K
zs*%;I%gk9K{b77AK$>#NQxy+!NJ~hM@Tg?Li-e_?G8tfxkh8|aqoPp#A}{otDhXS8
z@+UQ&2@vAw3@I-Vf^yHdE$9A`@WRiNPuM*-z^j218PE6eLBy*7KCi=UxcKHL%{9af
zV(vEF-O|nlwsj9-IhYN1e!ETR-!%oV?-82i#cU8ZFR}g2E;cm1y=C=a0@l<PuHof>
zL~woEO%gvFYW2P$3`r(H8wuGLzh|DHkBEN#`G|y$H*3zh6UHEun9G0d_%yK;8JHDH
zkkHB|rI(0Y5AA9ayZ+dY5^m>&Iz~HL(J<`6_s#7_km|9ZL;v!b=*}ux<o9RAS4pm+
z^GZfw%U$1Vxu%P7uPx*3U&o3+IJonM&Kts0y1Gn|&r^c`PClt;fCaaHxOo3ouK`5O
z$Iu>f)G)CnOLcoW3+8*ygtu=nfUPI}mvhbEF{P|HmkRH*;OG74-3%V+gP7A&iL6XN
zGqB8Es<wayBOZ0iT@lxZ8~SyOo&ScJ$K|9-+PYYfG%Uu*jn#u2l2wj1@!y#-OnPj;
zBrDEle)V-?)dQYL$E@(?QD%id$C0`~R-9l9WIYwE3-d;Cd-^>mm@iMngjmkA;&k&^
z)%Y?4TB?73T;4v#WH?wH(YQgv_g44)^TQeN-QZr#Gwm7Xo`-Veojchur%<;tmzM$2
z_6f2#IA@tQzr+r98nUB`1C7~vgAU2Vb38W({xYrJ^K<kXbKv<;FM<p->2NOFZ(%pi
zGi5&fbo=PeiER51@N_Y0a8@;;Qm$Z;c_^_UAR(U%7sl5!a5oLM#fn&t7A-UNx=Hs&
zm3YwWU0|xhgbrxC$uRG>{$t{=yKkX(4T`?y4{6ocfq;}`g$o?4IDRXcP>AP44*OH}
z!;#uhEa;cyX+T0F)48sbQ3810+f@Bs9~DY_7rlpq*pN?ga-?Lp5Ed4lcBGh7LGpK}
z*YHPn>}C;5wY(&Zd;!7dGYcqi=zIRhqb{6yNMroS>mCtQ_Q|W{(xiZWy194KZ!V-Y
zUz^^sSq$^(idNo5T43ZIXB+v52N(W%ewpc7i;3l-m*+NVK`(_lb|sD%TXNSG4n#{}
zGE3xM`lu$@yX&(^C-bANTC26?ektS|-&prLOB2GrM}5j@5Ja0qGYN2$!BDxaY+b&Z
zaAp4)k*>AEXt3c%MQfBChILAF=i6#R!lCFxp6(*(0l(NXd)MK&p6A*M8#O^D(Ca2N
zilWBl^KF4tMeN+qEce*02}S>wWJPV)VkD_8iXN$i9(`%QR1!3y<=UQzL*wGuEyz}A
zKdFr70=ii#Bbsn}{-x4|LP=~A=XxU;po*r{bs`52X#sD|JI20bY0OzXzHML)8NF4i
z_ZA9Mz?W2i>Ev};Ec<U(Po+d1X>ZS&OHEPWa2$yqS1pfLWs%-Xhc)pxZ*pcJuQpsT
zWXpULrhpZ%{N?A=D0tSaHMilQ4s0(@Yc?%b#PGH$yUs6EJZ@Ne$vun)$e-8#W<m)Q
zq@dk2T?dbcS5aR2)8X4aNxSdsRj}j7@WA#vG@K!nU0E(OAa26NVmVe76EaMiuJ5O#
zebws+679O+SJoix^GOZwesr)~;bfqwyuW+ldVSb-^{)H@Ep^o5i<HKA20k2`Ex6xk
z0K@W%eWNEd@GaRhviKVVyF%8?q@Oi{_2)PL=FHN>&$q944G8EW%i8<3#TLe}k`!;z
z{8S6Ms_cv%78uxn{CJ*=oGDy8aphIVBMRDa{qvf;$3XRRr?F#8X3)?XTwi^hif5l+
zc$3b}z~?R%_uJkQV0Zo2fx5-j_jBM#wmKaXBnM6lH2^%BjMYD}MH?q%ls&F+(~yr}
zHjFjN9FohLE`hT)s!ZlMj=58@*tp?q1z`c&3;o@uQrhUEmSrrlR}+(nti<Ry7Qpi>
zw9q=0iUu4Ri;8k&42|}b%r>xu+;2v(p^bta`N_45FO|`!VC>TIKud5nI3Qltq=jKp
zhNJBM3dlA0k@tM6B@8btv*smeqJehX!I~&(TvPp*<dA3yXXJ!d3RE;uGBeAeHBAhE
z?b<#wd*uI|edgqxM#jSTk79kp1ki9`$myV#C2;Jmj`E#V#eQY0Z(%YVI43yUKH6;o
zZN{M#k4-ArIn!oxLVbZLGO{w->SqB)ih}*MSCud<B&u@j^&d>HUE9^#*erlN{r=40
zumaNN-*mTKVKV(L?s&s-*&H-qrb+F&Adhx)kEChTUc&9)eeMP^b5L5F(rdd<2E|4`
zD{T<^No=x8zn6UzfTPN2rv9KLGUQJ#9c-K=8fw@L!W04K&N7V--&~8S_tvvA*Zv_s
zNN-!-y2`=Zl??ebc2PXrl2<3J|CcB}p3d8KYy((O_EJ9G6GHM&*YuNz=7@<a8{{u1
zn1Sl@qTQYeKI9)WJ;msqBknGg(Z7_M!m)Ah$O0A~tfIMiG`yT6>UNcX9UV4-j<21h
zkN^(MPE^(t+B!$1M`;!ZNt?h`6_z;bO(g6dDNABa_)C1LJUw8&%NVYlWRE{Nu)?%w
z*4z1J&l0M7O?lJl>p>?>oj&nyo~c^qLVtVz4?$e={w?|42vBb+ac<8aW^ljIpw8VH
z;)aW2kn?&YsFIZ`@b{Ty>L)iwHDpZ_)&qiRTN4eTJU`o?==;Ug@!aI~vSf-lcQXU-
zj~YOjgH&Zo^%v$MBPs4f?<CQ~x0_|{s-IMH6mOl}Imi_K^9`A@lSEjIz_fFzK5RE?
zS7E2UXYQ7_SS$#dAeb3;hFa_N;m3<0iO1=0n9LeSJTd>97<;i+W&dS8_#_kgFfP7^
zIguvMC1d)VxI=V#y;$X-k$%+DN2^%os~xv9GhU1ne?6|LY6a?ot5wZO*VCoMlIT7i
zzl3qZ>1&`~zzhSFG6#%DhhGv-`=%Hf>Epy~q`6m+KLbL3em^mPtChGqUAUWdVx0IM
z<-edhO9$&u+x;b)-x0sgmh!|z|0Xnz*)?2(=#cp6-X-^?_e9_MD7Po{38FeAziEbp
z4t_ztSANZXB&IsTs}^e~h=mt-#73{uKqcR>p0#6uu)pG}LO(T0$QkmSQ&*;e^QEiq
zMz4nmyiB$cvz;Ow4FAZ|SAFe^QLdN6dBa5U#1jMN=4pasWkk&NrZyOd8SmM8?F(TL
z`{QYj&kW(DdE{x)8!GhPdExC6`;C}23IBPw<PVX_=YCy@iwc*&lAh-#{vdkJH0_=w
z|0VW3`{|y(i2^Hb_joFcei3WqlqEMc%@MWjD#2p$T99S3wR2`_jL@8mnQgqeKzvgl
zuZw!G3H6N?HQv+-Vw;GyqEhA(!PogRa8_LtlypvH{XR2EM9Qx-yU@2nY%O?p=0unV
z7%gxO1%8?$-dC0LzI)69rQEr<x%$<?B(P*>s@n{aX8&|%hKB^@{#q%6=IRjhNyUVl
zG)tto%*Ct3vqAs#mvN0JWQdWzX!y4IFY)p2r`&RV4w%=nuT_>K!-2;)&YITD6LQv_
zb$ixufrjJuYQ<}65W^9W`lD}=7$PX2R0Mb+=lj+1%VKKK#QWIgJ$;2Z;L7(TdLu6^
zIu2}{x}^$rT+@Pv`&nR~W%`GE89%W6JU%n6r3#8QU#DKaWQESK3rB+KLJ%8sXXs$P
z3T*jXl~!xZ1_}-7lB|z}p^hBwVD6&=bB@~&-&$aYb+58;<7QDvFRq@flT-nVt-<#=
zIyiwZ^~3Z9zO|sfAa%~GOBs%?E6bYi=7zehnzlmA;@}i|l5aXw88*4v)t2$|!Xu-X
ziSDve&{ZGcpA@VNr(Qd#R-WSrC2vly@5f}|kA3Ra_s5i>R=gp3pRf?zl6g`&KO+aP
zw!|&;1SmuIttVb~7lpxI;M;jeR|N=Wb(ghBUA^Cbo7O`aQ6T-$>%;eopd&}h+uyAW
zDP48+p>8o4*y_an&|ewKD0(?&#ww6(I^MapQXJF-==XMOtHRlfoGZl*DlqL+-@#HZ
z2`ff91zWhtV9-JPaO|QgoKk!*SGXt*eg=aV+m_Vf$-43_Gw0M`r>r3NQ8zgl6}Orw
z=hcEW-%@N+3dxXQ>(%Twwhro;sVlwORH)oLX=<#a0o1Xy5T>Idgr4z}$#&BLiHXW$
zWfm<sw&C?R!FnaoBJnj_Hqv0vjG&MQg$lk!;wxaS0(o=(4C{|{u=M?~MzLB4)O3fY
zAN8n$Q=)li<NyP%Wf+ycbEU)OZ>&-Z0c7x6+uEw%tP6$5LVj}z=z>deyXaFP4LFq(
z>(sldJ6o?bRehe-gQwGB*#$Y8@PWj4Id4^`^d7`h{e%tSp+(Q>qgoV@%O~9rIj#>i
zs@v`RoYw=(f1(w6SE+D;uGckwOdra7OOppHOkilP_b+doHaM8GoaGeNhxJA8lB?7<
zK!)tyg~uH_uvcoZaoR->GO~G23~d5<b=9Lu!I}n%HQTCkjC6rfKiAcBWR?3{WSeC|
zXb@1eRr*H_9Uga{An*6L0KZP2it#8KTq=!=*Z!shVoQ6hBb+UPrph$dJ3xbyR~vT4
z^k~5@P80VOZYww`W^VkNhX(vV1TR0lKn50#W>@)WD+ql+lJDcyfx{0wOxlE%;q&P_
zvR|7Od=biNoGPM%^nVZAOakO!pXrS|*N3e@oKoAvEkXhJR}NnaHm`;C&%RzOYqWxJ
z8%pj?V@+tk`swYxr@YXU?_Db!Wd-W?pZcgK>L90<LUed76YUChF?1CxxHK$ftEQ|5
zhZj2@S4s8}S2r^c`aZUVmaw6kw=62q`m@;W^0zO{G0R%9RAo!}<a=XF&7dL-j#Pe1
zy)e&w{q~HWU9trvRm+hc-&_aU4K~4J2T0hE*&F-*pE-PpI<0r*whU1Jymk{$=0ulx
z{v*=I%%SS%R}=Ma32?n#>oIth2W>tCwl?(v?4BP@iL@1izv0>iq?^2WF5LZ2nj=8_
zMy_95IE0~fV_ou*K0X}KyF;DIARs4G=E*&FKDci>M0<XT9|`;Wzmo24fVt|fT|QBq
z;B#ZTa_}`jCO&m96e%-<b|o2~ic74(u`kJ6?gc*vKC6GU*kKBa=0##HG7H3A>fMCm
zD1IEsj;KytG6CP4CGQzLQ$)qNvhQ&;etexSZa+se0eQ;nw#>9Igi`sj6!y1#*q>Ax
z=ybvuo`gTVnZM;Np%@~hTYQQS!+Ysz9p&qRBHMY3npVNI_%r&MSA!1?BQ6S-a;^uS
z$~kVU!d~W}V*h#GX<k%VKIpo`%?Kz7(>E&$zcNQ`d&Nt7c=2+Sou)#KAxJ4oCR!-{
zW`?|s=?od-Mdl{Cq6bQbFjynR$#Hm^IkS1Hsg9oyCzcIaFJCr*>zjXR#E#7}U)#3q
zSUJFl<70aTqgf0fsr`mH7kz>GcVHv0$m)MSk#{QHcUB*`A*rbZmYGZG*|EV9{7633
z_jUA-9{7}NZ|fFgK~?V^#SzW|IM2<xZC#)q)D+(wWDjCRtJ_=5Y@G!0%-);2<EuWQ
z<)Zzjb00}~`e^6=5D-GE%IS#%iMn9-KKadlBX%r4boRdIxDd+DXBEY(=)%w5^PfYn
zbKt;%)@K(>g)w!B^-0Qe23(|1IP6&F#M3glj9bYfxa~%0*&{aw#BeQ+avkSJlMmgp
zXW~T>f1;ic2Lrau?x9>8<H1xh>(G@uVmNaA{85QwI=Ch63#|&}#W2CVSaRE1jF7!7
zqUuG5?rj%lgw*-*K{lt`jI;z+zAG^=R-{94k==KWp8^<pt6B4Cq$K*W)}+~eS=GM-
z$8-V?31QPng#INyX`I#+$<8XGLC5o1`>BJ%Xjr!3vY}K4U3S$u`bE=Vntz8K>nRb;
z=qTH^DM${FI8Dag@uq>=t<XlnG*P5qi`7;2T!)*JXy+)7G<a_CG~>UwVp#e4l15mC
z0{&|0y=}IY28FIx|8}ku$FY(i+vl$p(ckbOr;Gy)4qP~Y{#AqoPLYG>n<kZTivl%>
z=0$_;n@X!9|4HJAcJQ?#RTZ3&*B;}Ir@_5@qP~2qxzaB_S#Hit6;EaNAKm?u272?8
z{QetcQSb`oM?i@hx+VMce-xs_*WSEPdscZ||GDKCjawame<SU3U(JIz-g?^KTFt{3
z6vvb;-8InTRMm3P7#%VzZ);kQD4;X@&!72~n)uK5((bbt7?Amnz0-U|5vd80a@M>Q
zTy8d^DA9D`18>vF{$EO1u=M#tmK_zHZWuu2f-ba*ar@E!DkEifhmq)cZJb1fgwi2B
zNZdUUcZ*#WdC$~|zmC$u-F+hK>qhh;#E3c9Be*&@i+^mqE)C0%9IHqn8A8E+&W8bF
zWQ<68zVBcR4L6*g-Eq&z2$-F%g4_AkksM(E+O?X76im9t9kCwLQx<Q%no-AJX3jfp
zn`y|l=0WwLPsZTn)E(aWQUiILGYWp@(U517E;wwqsvFUh3C?FU(WhM~-{=qxJ13GW
z4&E^X@d|DeM^3HPoT#Hc^<D?>t#eRm|GNR^`{i%B`D!7@=$S{n@!F{4P;&IOJV5B~
z11HC`wJ@9Id(gs93RalOe0*2};O1M!taze@EeWkvC;n-ohvi)seFJkaV4s$my`Y68
z_B?|0K^=#mZ+bkCWeyHMXhUf#TF9NE8?F<jhFM%St+Id3!8{}?%sEvPd*2N$tdUc}
z`(V)+N4J0z2OoPz_iErf>(tZD1&XMDL`h-A!2%-RC9|>3s-tR!NcyWxc^u?V&G6lA
z0koq`VH_u;Xo+j-YguWGqdsAKZesyANzb{@wWy&<JpW6-(Y2VJdO!J+ss+5tO`YA6
ztcvT6)H3`OMevz#pL)-4b9hvn)W3C`3hwV5J~9{2kI7^6x8FWC2gTH$a0?b?Trj<u
zSIFeTPhRQo685h0V)^t@_hLm<s!e}4^nrvwV#2rmWH*O7LzQV69|dGFX=kXWFEd9s
zm)Q8`0<cUv8OiLB$Ig}u<=^H0G6QNS`t(-$F8Z|3edL!6ezvhVv{7)1Y5vC{Wu=|~
zW&9oEa$gD`C0<^TjvHkr^-TNNt!#kfyQpt6!X@zDQg^F4`5W_;a+9~W;RYCx&eRW$
zT8lf6x@}U-8fLn1^Gh}PnE`uAkxf{!D3(%+TgCH+m@i|Ou7wtvLae-ZjS80tHk$>D
z`jCd0T%S5dOlM4>i3seKi4;QnJ^uBAo<q!>k82nwOibX!xI*vXb^%n#KJ}wB^E0z4
zbdQr`v@yW_YYm=Xc+scD)087_gz2%}<~G}h^&sCv;xT=}gLesU-rl9J%<Wl+w?t6a
zL$XpD)pwW+b*Gp1RDb%x^h+g+HAEXhS5xh&dMi#O&3}foqGL>-iXo4xuZF-+ax3Ke
z%#K5aLo7zt6HF@C<~-{yhH&7|uAS@^Y#2~EcxzO7iuvdTSAa{g0sOH1EBus6!s|I7
z=GdiXm}}|1CU4{opm}rqi+yvf_)+D4w6E$cv!uTL-SsQ_ppar>6ts^O%L-41$6C)Z
zQ&VD9ve{RC++pXC-@jO}BCx}cHDZCeUuvvuI9LxP@NL<6CJP2O-`N}8y~GswXvA;3
zs0)>k!u18uv7jZzzO8uUKW3?C`(k&HF5I}7cxU4&7W@`K1pofQg4O%~n+PZA!oI((
zXTKz};BL5dIL3m6#?;uIj`0lW7yMOtr-cP0*QR7n=Ch$*m717?Gy|?o<-~@mu%fnA
zmt{4b1EV*tNM3qE2iw7Jp0S&(_^VN@tKtnOK3EzgOIXsO=je93Ol=bG`J<IIevuoi
zV{>Xm`e|_N+|D--21w`<cl~qLzBRZ-|28c<m<Ec2ybnBA`>pG?_TRRP4+970xt0`Z
z;Hk4yDDoCNjyHHX-3k;y=@%(#d8s<kvfy03l*@t2mI)nY9zy6gH*$4xS{oMkCprjs
zapILcTh6a{gt2W-Zaj6bHq=W#$g)x4Mo;e4jKEnDoK9ws+4+_V+?VrXPG0B1+V+{v
z>4#VOXk@Gnj#Th}vW-8H#*4}QtSu39Ytdz@xiWH?0vQK_B1R|qux{?!I`0P(NDr&^
zOp2gDl0uWvN}m9xT5kID-#IDVo_+3%h&~1I@pkso^Fo-zy}PL7qzuacNRj_HuLY9&
zryrfpT$K*)mnGZ@a+tA+YM0Te1@Gg=gA4mbkmGQ`#ijOjSRWr~l+vIDSHjM`Z8Q|a
zrFPlUxAKbkBbLAEdzTg*b`Euu$Xkoay!!7-eU#8ZkZdN%MgjWF)I<j%f&Q(1;lCP{
zG1~EH{LdW};8O{5TAYx?gkudMSthFZS8B!TO%ny04f`IL)k<TTv!=f#sv*VA>9n6O
z6?ocKws#cDBE`Ah$ihh-BTKc?MhR^=-bf#GWXfYy=G9Fj(;E2M|6ECwjSi6dl)V~G
zDIlfV=MDQ!EtFi>T5PkK2BO((wC<-V;tqA<OAkTCIlY(%B5UZ78f+vS)ue>~4!b|E
z{iKchq3d_M{HBB6n#O0NBo$oqF7B()D!)bscfP2aW5DO)jc0-_RFP9GGNSk!4U1WS
zZ(c*z1MUB^|BOVaA^mRKVX=#J^q8Xgv<2!zxLf(v##%Dc>UpD_*cfQ(ab;#@+yEx~
z=Y?PWQAg>a6E{p<8EDMC9Cahy2qs(2xMC$WQTcI1PU8gz*5u4LxN92&YFp+lDr%wg
z!8x-|KL+-F?%Lb<!vqF7c}G%tD0nAlo4{u>11Wt&TK^uJ!4cO9=eMsYnCm(;{`EE;
z4?j-c?d3s$n7Y^L2M$y$^%vSW*GWUKjFZ`S!&m*hpYg2WJu1FxzZ~a(R|mNl+YR?y
zn8U`Bir04KRP5hjEYnR}ttT5^<oIb0uR1E<j73vXx}LL%>zF1QTxA>E6kq`?H5w<<
zC8)S*AvwC?1Q{hW&wo4IX92}G{`p??rr<zg4wr|s3OabcY`L<UU-FO1-*FDoLb3Y9
z6)j^$jOy$=+qTIP-W4`Q4DHoK_jdVU%agLW;Pk$T#l{j)g(`bTSOXd6Y7PR;;^=+4
z@|PFY5+?T8T;R$kqk@FXqtGm23~l*rY&^Hh!Qj4y8M)PcBJcgLP;L#z%Bt#V<y!!c
zi)WEwtO`CP*{e1%NEk0Wa$wrg0?KU?3Y^E4Q0cbyuO;5UOwR<e`^uO({0{&C|Nj)1
zc{o&mABH88eI3i#4P(tZW9;(~m6Re<BwI*DD2bHHQW9k;TJTfZQ)m@Ar;y50q|hRg
zwIr2Fly}~LKi4_e^*!hMeDC{tRu-mbHo2>k7la#)&9uh|9!ly7!^5^XuXvB*bW)jQ
z@Uu-_5}y+Eua?9UVOwlIQ=s!TMS--KFE@VJ-^$JnwDR&f2bhdp@0_?QM`n37O07~K
zWWU+f8#kg3G*VlWoaUrSo{>{|dqT$8iz=Teoep3lWUUOHJ4TAc_Q-wA6_e~o8HJAD
zj@V$*NmyK0OM>L~Y%k7{`O20j>isl}t+A=9H_L}#jBKC;CW}4#%9b+E33&b73TY$x
ziF{^4<bRipE8^aKWz!3;^1E?cf$}%=tNi_?q{x7N>-@p5Y*uJG*Le#|Jl<yfGc}Kw
zT>Ec^b^QDkyJI-uOLB|_oVorRoO!`bdY!Bq-1caa?Rl?L_ickYP`N0|*OQB^`8hSR
zwCoc*Sn&8NX907tgIdM;+~)~it{h&mfN^%Z_l=k|FEivWdv%FB?l%$hYx(a?;Ze4#
z@!px$H7wYM{XML%I78I8wao?9ePo~glTEP_VL?Z>Nytg>8}XQ^`C=LSf!)G)e@cG0
zDfpAN2M$<H5tAYV-_LFsU=v;5V-?*@bZ5L1INdQpyqWy4&h5fmw&V~0OE+woc-yWu
zT{J&J*!|O5D%0D`-hER!gR7DOcb~xLZ8wI9SFRm5FZjM>NAK$J3RGrbx-!_`YiNL2
zy>rC(AES%CUUG*~?HLoOM?U*^_V-&NKb@h)F79B<e6LgP5j8<}XWDVs552^Wm}&3q
zuqW&dhC2K6(u~m{w={Eh=SyPC0nf!@wM}dl;T0<<MT}um8Trcha2FwFpT$3VfMib&
zrwx>48A0=<|IrDd=LC;VDCMDBEn7C??!mkAM&POluere8Ms$Vo%zcljVV6YJPAwE0
zV$^6yUqk+5V&Q!5*5uu#?5uEopY2RT{HN;?b^B#AaX7+BuE^><+l_kC<aU|?NJE-c
zKxQLxSD+v^Qe_{T7E<1wcv~NvVwqd7KYTzuit=*aqmfD^+Dd<y7+!`R3))*#50a>{
z+~yY+P(W-U7wt5YTZZtG&FND~4Md4u5#s>0l*q5ze6Yh+4{oyOzDoV9CmMDAJz^xQ
z2!~wBn(G<55L?)x)%dxNSZ}hikuiUR*x<Q9-g&75#-{I7npYj+D6nyc)pLjVCv_#h
zQAr2p!_^0Dn017n@ZLLFH|mI|-25-9c4?!q!e@DTL>(b!pfT85KoCXz*;lp_T9Ejg
zz1Nz*o(R2Ep~3y~0TFY>zwfHF7MxUUST8u|QF^}SiOknVqHJ%qQ(UAbZddAVkzq9u
zH8QR_%36<zz0tytu65C&8ghC2md6A!x%a)BPU2(YN|!d5CW{Wr@*sWdmn2bk?(lq!
zU@Jk{xjyf4fd)!`cQtrUJs^@-uFts8+)hX}9njk^q=CCbezvbn8j0QAUkBj*oLG65
zts{R>9rr5jo)=$fBKjYCI<BAXB<i#4d2**|s9UMP6=MI0&^#ZalT`PDc<%W_^;HNB
zkDt*?eWV`~&y95zT1sCMdp}H$-5*v1e{xz*w9-?e&-K8LU5|Q*$pVWGvp_ZE4>@Z%
z`?V3j1Z0z)sILhjO6E4BF;yIAr)F7v>>wuW#rxXJ-x8ad!I4>Es%T60)Tn&*oY-6T
z)|@B)J>hjIQ+Um96^M^9{yp>SBF4U-%ip?gkkIbh-Qbv{g5I8}kC8InM48i%m(Kh{
z#GE4SY8*ucp_Jkki{@VvEi;F2D1Q4$yb!W3t#nbw)q(2{5mLRx;?$l*MbS~>&K!S1
z?ja>y%Wit%67-rFUf%0$7Bo(L+vKpJq*@W{YA-!_{p&69Bd77*qJN)=aGU9~Z4(Oc
zt>zy3_v}4k{$FEl>$@++q-_p2w~hh?uku>qz#w5f)0*>c$uz+qdKr$p<*_M=!N+4U
zL^v#q?FeuEM)c{(lvduOVzHCwQf2L7f*j(@sd(^%U{BhZuMnalV$oFo_qC(M&5xl}
zy{Vr>#EWQ2vu$$F>F85EdTpGLmrcHC>^V!E>fd{~_Mt3NZSB2cT|N_@O3TM;_~(gq
zdx5(YEm?e;%5QhJnIdAAUXu^zT_Do=(~nhW%i!GHtxs2MrU{D^Tl%MU7Ll9(o);JA
zmx0ZwjbE4GcY>+y61kCkG3orUVWdAv8WxgqTb~Qg5QY~QOVLGm$*SH9%|8UC!Lyv!
zwch?0Vd8qh&BTq5Oy@n}7j%(=RifpLqPkh)P=ks2_-lT$DsHea-Hd{|sT;2C`{#*S
zhyD+4WkO`w+vY*#4^p`AWWG5$VS!k+M%;2)izq26`t2F(f)v1O*r6A>h*US|DcqSa
zPSzYfR2&^7g<UrcHQikolLqe+PS&JIl3$yTq^Pcxg7rDec;8@Nvf^6l{uSjE@|tYg
zXG>ctjt6Bgj^E}Z{e$lruI7~`{|am#s@p7ul)Q7%+$#l0DaM&l%70XHdR$Zg&RHoW
zjy$w6R1zj9qK>&pA66tYy!*2A7o-r^ZfR1bDn_14Ik?fqU4{JM)>n8qkAkV{k5l9Q
z;^ehN-qOtyYUBzf3~o3ejh!F7Y!5w^Bz<ny%Gu7+$ihaZ#foAXm^F(&r;Sm_pws+Y
zj|kGq%WCw)Li%zj@;_P`Y$;2Yss3DY#!-u`;%>O0tsxKXqS(Z!7Ao1ftZ2uf8XZz{
z!PH*4P!acMyE>nyE0VPDstJ0_mywZ5VY|$|Rq(GzM}NDc3c2D_flA$s0Vy@Bf6HWr
z8crX3biaIDmAtq8n&~QEBQlt|J683)ItpHtYRnYVNNMxSwCbnEBv-!P?2lkgbZH#D
zee#e7X_is_Qqhn>1`e`2p5E6%@Oo*Trk$FkeBup3j|3)Je!L~uv_v0wLQ+m03)Uvz
zd?+rdy<tj9oKJtf|BMmv(q`B9U|rJXowY|;C5yZra;15m#(@1do(2)$Wn^@X&#<+p
z8JQ%*I-oymii2Wo+ZMI~8S&$Zr151lGB(auSb3=hzS=CLX~!Cpf4()fQ1+OSeGbFT
zpDnE+xN%fCm0?8oR0J%otYwkMhJ{>*Edl1=W$RL#j7W(DxBa@iP03YZaevTe%gGyG
zzV1^oCbJgmGn8`}WbAlE{&UOaNYm?P9)K|^5R<U)qpdOdW9EwM(*5?><0iVdLfM$S
zt1#w!PsV^;miJfWe1roS`=&nE*Bg=2lhmYKhBo<b+JU!9X$2~U<I<d{M&!tguGO`A
zH1bu-Gh<fV3X~V07|pgZBwzO$3Rve;$*NXzawu&Dgj!1OL<H)SE!r2}ZjKfurOBhW
zxV%?jtLw>XkHvcAX@A}E4eZ~<w2D!9<WC2%e5QlxVcMkcnL%C2V}tDOO6lRG?GCUb
z%bpypr<3KCsW0TdE&}tT?(L-y?6GC`d|nf`I$28JQ2eb-2zSIZj?D_%Bac0~!pK#X
z?3+F0|6+#(MkbTn`(2k~P0HgbB3zN&z1XulESQ2T|0s2(7wzz+DOs}WkSrNmo+3Ga
zKnAv{(;ufMZ6Rr4t90j$B)P!#$9hSxEPPM94EsCUB7Fab!8m16vaqP`$Dv|5?7fjA
zk1F8aJ@pV<D?ZX~wNhXJhj%8O4|yM{0lB8#8@38_k@Z(Ed+pVt;%~kGXJuP91|+Lm
z!>Qj1y^gWRnUYkv@5?r-b+N%|`{D<*?03XlLG^;LK{-@iJtcoQ${KAiloH%VAG2}0
z#n!b@4(cuK@h8fya3+1>QkdX4`&&-!mx--%*ix|f7tfR>NKf_ZCDT9H-9>zJf7RrW
z<~#So(bf`C5pxM->^wVg<kUf)AF>$H6ed0uSRnq}qh#fRMW~4@$+`N9^Sv@_4&3Fp
zK!5Moz`=4JEF|#w*mcO_kaPC$+Xu~&eTP;q7|I7Uf6iF^P8QrkCZE;j%#iqQ`x*Ud
zeh7GNjq>A>g9TTFSMU)t(0`Of{IV5-@B_)eCJu72ophd)6*B{IpEa!)B7)=BFHH^<
z$YFP5`RLbT7Kp@ZgFcoRHfi28h>@a#wb<-?ivtVQksFIz^u=*)?k%<B5*44zDoZjy
zo8m;P`R92B2~?fZRXV&{9++W#_r72X5k;<L)x45;|2yd&pP&M$16JW{Tuq^#DxOSy
zl0>by+r@iB3Ru#drJF5oicr4F?21k)JS=&T_w<D#cGmi}#Pu-|v8Q%JaV-Tg^9~Ek
zUn`;g)6rMn<xIG(R1(W9lE$pahnOWll_6Jk*)cDXi5*q)cDy+<xG?I==+9Kap7E>A
zmD`y}5RBJab4nJ|4m<CTnyA8JC9_t@g9%saxJbw;IrJj%?6P;NC?0&ugY`^!&vi2-
zbE#k+P|!J*riN8BYnQ%oV`7_J$EKTQ@^G6!9eZmz4N@_EBd&o=L_YSN+t#Fj)o0sm
z1^>~o?=|tl@hB5K_uCJTjw&M8y>jcVd+NB}MQ58|W#aLqarh-kWeD@%aXA^S0j~7b
z4>E_CFs{p{tfi^oMM_?(j4>U5w@cSt*D}RGe)pPNgbJEs@?%m*=`h^2BBJGhDPm3;
z+)~-9ije3)uhwi$oI5F#@bRrF08v1$zgC6TyxR3w6+XNnT;Zl#5I^hxtk;Q!#E4ye
zRu|R4$E;84eyoLwa<fFE$1F_Ujh6dkMnlR8%OyIiv{6Bk@z8ZK!=d=d@mHNR_-ZV9
zlUb#W4emDbrNd@$^Lewhdz(78zxF%g@J|~J^i{p|M00#RV1_4C>Ui=d^T6$8I%se@
zaE;KhfFO5CSVXu6o@CW$wOHz);NGr2^&Shzx8=*le$?Q2e#iS+4IMaF`~EIVwggQh
z)b^|+9cGztKjcqnW3<aA(ACrmD$}9^S$TArDrW8ENzq1T!27n54^~*KIYQafPlsdU
z1@E(qv{Cz%J6b%&8aYzNl?Meh;q5IjIqj~6`<+J5;x%kAC@0|Qt)hv&Tqm!M9M=Sw
z`_@lOZrPy8;@3ZYWlgAP>`MvAr=u>2U;8nGjnzUd*Ni2a*!I-w_PPrim@AK{aJ|IF
z-x=@Ym9Oa7H!8KlHAx*qr}c^(=Gb5zZB;ctO^1J-@w1cuH1I{~{CTeol$+en3}?`x
zWoP2Q&Rh-gJws+ara<r>cXh#L4Mg_P&b5iEqQ^Dw?E^a?OZwYVZF>#S=+u<b9%VQk
z+Lt!E9Jp|xTH5-iI&5xQC^3o@VWqz1`Ev_E$n^ZkcNuk9)4#5h$&d%vcAs??T0nJg
zrWQ4l1}EX7>D`y)@bl=*<0Znt<bw0Ngl08RwR>mM`eksbOZSssHycshTJLA1)F4iY
z+{EQ5jq8E~GjT`Q;L7{`Kq5dD%^TD$Ylk>_Xg4J!gvQ2kk9DO^H7a1}1hed}OM-Sw
z>6mi84O(B8tbEC%g3lSXe`d=iP!K&RwtuY+Oz(bJu&q@>=B{WF_m|=r2>A1Y)@KdL
zf0}ML_9<dpO30{!o;b4UYwSyWtr2_a>9Q7k4o4R6tSh@JhUiyJ|INczm>YR#-@wT=
zXRnG+Nx6x^&plivaJv;MuFphy%2Tn@d{#6-Sqw#=E0WtLEHP2E{MZCt4#uP6#zlf+
zFx}}px+~NYT?0X9JRD`ABKt>OLRt*{w%-aCPg}sl@u8hbf(%aSH*Au%62n57$Gq`A
z3q*A?rklH^;ZRi)8*)Gl`v$sxCjT`@L&|?K3O3SMb1(fpSC<%WUiwxXbIcs`<$Uu}
z1O;zCENRxT5r=ak@2Y4ibI`mi6L)w}@G&UVV@HEHu&$tE@QNAQH%o3MmQWCsQnRwu
zMFK`UHj7G`o8kS#Kl4RxQcxEdKQs4J0^A?=#&7Fn;plC4LTRZKV%u`X>MJEN=d$I3
zW*7_UamItr=cS-ePaKJgl7c|k60RCi7D9!H%d|o%sI6OkVsI@5D<-m*d)_vMh8O>l
zJM~hK+gc&;##9;x&UbTS{Y|khrT5n5&r%S^<?oveWiat)%sNua6piiu_Nj&x<d0u2
z_qUKmmYhykaT}Af*URYg$0-m|owZuxE{CY(`p~3Q4kvB)M(}^9Amh!exV49=*fjJ#
zKf#3w|LBku$p~rKgR<JVULJZ(ih+tU6a4mvR?jVxfxDe`f5uWpoYYxfKJ<fu?8Hfn
zgd!Of{@pR76sUyZZ5p}0FBnMQsBkC5OBNLeKi_oiR0eAc-Pxp$0qrIJk^wY1FglZz
z^@~+7VlrjDsFH!>MC4V8zj8RdWY@uCJ5(X(wew<h83PW>5<YN`QNdny<n1U!4IUv!
zSdP^U7_7gx=;Dw(3?t@}!9&B`k9a5DW(ICm>S$1>6maoudL65WhJcxQjm}{P9!>8t
zIm)jDeTJ=!@>O;0uKpb`BFV&7(F(1zM#{(|t$$7&*1&OxRr!1z?-V-u9QkOhf*VFh
z3UoKn@sY1Rp!Pfyt>uo}<hoRFVMDtEKZje_&YDDf|6t<s!;VtBC{?sKu;uMPYQl59
z-gdgTDc+ytc3mW|h7c{+H|7_$VAb>O8UIUDNGx6R``!aJbnyIV^=-K}WMeySS9`H=
zeDf89++Z49Cm$4=^k_r(ZQpe0R~G(VS2&a;ppM)yG0{R79mEta&!uOY!Q;g6Nmi*k
zyfVYO2e0YC>w5g$dbT;N8^!cZY&6jRP&c}3LI=`6G#`)6n4{!yVOif34Tx_|vcA7a
z7c2WO3husPfynWUBQdM!@OoY1m-AHzKgssmuX`<#e@6aLz#TfG3aw7t+|mJ8sOcz$
zWrdoFt6LXKX`;%mTd&$#2j*f<rWQY~Ft#&QaL!8;e^Pz*E$?fCHlp!2?V2@ywNlG$
z(ll{5Lo+FZTN^`CWk+qc*dQ!GAkCmy6aCGPMSD~^9z0c)c4^KAHk#QVZxm^wW#=1%
z;~Wokw_nc=PGMtOY}Lf7R84H$DENBKB04r4E3EQf1Po=24G4Q^f}9LcyxFb}g{9I0
zcZ>nwBZ`+E@oVBr;lsu6Q)!UZXI|jh1mv9Cwdv&*I{F<yw5lyv14UwV=yUl0z3}Cg
zt_~eL=&yEE{82$fQAo(XgFtkFYdiCz1|mF1udR(##=*QT-3y%gce{tT?*COsYYoq0
zE`CKU*pDll>;cpzHSTn{sDrU=u*s{D3OioOq#18uu<GfPGZ$!R3-K*9ER#jhdipna
zHX!!=kEMOT8g{u--8rod1wF?b4#)zvTEw~;1vR)2Uw_#oNP$M!+|;s{Z1f)bpq1;X
ziWiKMUrlL}h`Qz-RvgO4M&So{`p>E0NU)JJYlQ^N1)?X;&)YzH<+2L__mpunH!5h*
zL>zCvf1Hp@v_Ybsu$9|d&b{CdXgk5-HjnT=v46Za$d$h0B>z<bt~`x$nX5&y%{gQ5
zM1nO=s%$<|SR{|4z|zcP4k8F(uIX95V1=S7X-7sl73<Nn_FbkhKD%!?wK2vD1y%Y#
zGF;>^sVs9QTvr$`XwMxe-z{<J!-E^YSIc68vWelnR2clf-c@bm@E?ZBiY#v#3{Gr!
zGo}e+{ht3S|BYEduhWKk|F|@SCDg2>_X)$?$$wRRkOdlJQw%EGDKPTv?|d^Sj6X7;
zx9=D+hl+p8rcb&Q9Lp%WE>tCgkVDb4h9TxyeADEf-eoB?7T5Vsq>JL`(&2r~DKmrz
z2HEhKNMY5Iyo8&pIeyvpV*J^DGmQTZXMTAtiAKZYmof*$5U41=!DWdV7+rr2JkLvF
zOSfIP?s0L%aeuq8B$ovV5hwE-;gUGx)?Y9H378J#Dq8BZVAGU#G{{>L%s7gji-069
zo!{7H@x&DF=hx?s`A9<f*@L0=A35)(UAJ=!F-5&#ja6;5Bto@Qefm43&~46b{aVBn
zI|cf=g04t{`xIpt^(h4cc4q=K?lG~!WbduiVM%B{R)1stinBjj=I74rWWwj$rsh``
zQjjiO8G7ow3?x#U)@RX}uxT(!;l3gT6K->{&76KTS#gLs{egio*5ZpjDimB&rMkWK
zr=rbic2a=DVf?0=XjfC9s7`(7a7!KnLalixq8XqXe2MCGlZO7~wCn;oMLan5<;N9g
z24<~`+pY@AfG4YK>w{BDcz8#>Z%&_qMHX7J*)L`AN{&zBKS32#XPoS}mSbRrOn9Sv
zjV%0}f|4qGR51O9xS}D#05Q~>SIOynU#tpu@2OD5(>~v*{hYZWb#J)kWh%z2N{8i>
z)lhn>;LBop1`g}_JMO>DsibyK`V)g_cr<n;?mUBY&h*fu<*ya+>EuHS!$}>FPP_Vu
zY+=CFUHrdZ5hd7<u2Oa~)<Er9)89Io4D?+yLY<2;KAwn=jgzC}pVki5t33>?bDpv6
zS+4@_`l%xBe{_89-?qhM854JF^m1MPsi0?SPx|?{nn+WZZM4W@qI0)b@zN?)OirGi
zIa;lS{F%T`UIA15TBzxY+NOqmYL|<S?$?IA`A@IY8K#&XbIod%qal1_tKTm@9dwNQ
zZHd!n!8Y@s^Y?Zd#5?Ewr=D<lo+4bZ@SFvosgkJlL+YpxE`Q{_S{J-!%=WHiGbA+x
zmCb2s;IhkuV~fgkvETIQ9h###jQqAg@O`R*%=gE9%m;NLr1XiBMzMfIypP2_A39S0
zC9k>lMHdvBvxxM#1$IWhar!z;2XUe2oJfZ*M4X=%Sdx}#wd(Yk-mHlTiySZBgSzN8
zWJUAlSb?)JPoCf9<a~*ntxbP)5P7q<lpbP@d7-mU#uhYDCqy@vS)~K3E7ktm#x^Jo
ztIU|!(?WY7fB2DLZAA0sNnD<^fkTBr$tD{ud>#ythPM{BI1fzh%3;GR;Jo@5V=WX<
zHOtTpG-0}X_0vfTu;tli-yi|b^IAn_j+`FzUmPFf_XfcB)6!18W{#&`$JCIC>d^hQ
zKaNNQ;^ogRgl^LWck%`!Y0m$SwHP^3SOQL;KE6wEg41jEgcQFkQ$-;8wj#0~P!$!8
zO4>w+WqJA#*qj{g;pGzD2q?7PWWTG?fTj1Wxb*`?WF$O3zVSX#6CWEGF|Uror7n+;
zXmN6iTCWaY1;;x9JRZGf>NvTn%fYWf7OCN0diT-*<KGzpbvtP&{h>O&;)FETUbr67
z6a?JNnSFgTR}C{~ggy8&q;S1slkN!?V11ca)ud4sKX3aqO23rAmx&`rp&SoB?Yj8P
z?~4kIPPYoZ*(i>sH~st%rE&!0+v6&ysDkqMN}fU#F<cAY)3IBSjTy4Fxa_hL)CLX&
zFsLFZdTz3%pW_9+Q@2XI6cypyxtUKcS_tOPW6N*OTH}kgyG?DmJgyzn`g6-n5W*|m
zRC9M)<3rmyp%`Z>lDHzDgl!anyrgo*=Qmc^F>|J~NPu&Hiv<(2TKF+b)wg-=WQCa{
zclE0VWYC|UCVfAFA3g^cS-aO;V$rS1_@kZD*ryVtB*vKsIR@Kn=vzX6S6{@LcNARY
zKVK2jzz=pc={Z?w0q-2~bv(Qj_|T}&VhjY}FPlGSENg)c4%;05TPcM*GoDS)o(tgi
z@T>T38RjUw@J5ZhND@zeKV9}FPY{0fw{G+co1?|4&icH9BqxW|_zY(X;lS9-yy-ME
z#5oEEG*n7}z0OUKw^A6&@2Zb|6gPvpgJbh84+-dyc1ofXBG6h><U4zgh4JFi*@tox
z5R!iO#8zDlJ=GdHyXh==PxPwleHVwkEYINmAu)*RH6|qAF~w)T#eTL!;%IbSr{#1*
z9DFVw@$qX-Aziey)o)xJZ)t)v)0q;W{ylWBV2p`~HCw*?<B@=;botEqQAzOVmyH>v
zFtKNSrfdOI0t>g9r%xwH!SvaD+c5(syqgo^`(q^_oxe`c=L`kwG}t%h-Y{^jZ|COS
z-4bBb3Rw-_m4>2o!|UmE23YQS^Rjl5xYsZCr0k0f+;V<(_pM?eKx;_ocB3SoPyJ)B
zV#%RFK<1@^00Y-mAKx+BECmJsbGlYpRJ?t-ZtUO-6Z}3({!ZYg;7*)T>L|AYg8B^k
zy^BmBt#ISjRZjmp+^-rIpR9=Ju@$pXhfPo$T$Xh0v@~u>BpmspsElV9w=^9IG(jg9
zpKEfI45SL>uN>N@g0}(NTO8d@aJANvr5+}WTf@G?e#=$SwXIs9WW5PK1k5b<i<N_L
z*rW%Kt{QstOm7_CWCBM4)34voQSp@J`)x0khTAWWEq@Yf0^)hfS>HB!?5ZET5-6sQ
z`;EGrV>3*^)8?}7o0uXVrhQOR5Y#|h1tT@R$po>Yg@TuYIDJ{Us@Z=j9WBT92+r~`
zP->w4oxe>PD)+kUVtF;u91&lAp5vFwQ9I?b0u^lY*i$aX;h&g`rVgW#fvmB-BvBt#
z{0{&C|Nj)1cR1DW8^_IK@4dpYj_sUdug{wXr6`fUEh;0@kg_V3kVs3iqEMkB36XS2
zB1$DxL|Mtmmd)?{{(SE1xjxVHT-WD*zwVd&{_UMc;}nFywbXI7G{WeB-7N;0jF$h>
zl{~&`VwZ}0lYN~L_-uH7jQk-(Ehn%3*dr}WXP4br@ixYl6}$M8PgL+9=g8|Xe%jcd
zd9QUw$^_LPqhAaLs)9G`#n;RHI=Cvd<+6I438oWsg8k@f=sY5Xi*Y(=?Go1RerO7M
zNMO$QK{ad}9C=&QrGxg8Gsl`@&9KLP*0%MgI)rx)5~V!4c$$-U>`$OM1dp9*Y@%zR
zXL|7P-DMqITrw!xyWav8s}!W^uQcF(Grpd+LI)(0$MNqjmiSDzPC7!PK>wkAPn)d{
zO4QmteOFsyU_r3mDxQKs*62M7SGD0#;HcfEX^q2?yQ0b)D5(C@!T#~S7VPr&k-OLk
z{CjydB6)}c>wu?U72-7EQ=72h{f@xx#EnIk%(`Rn_AhHzQ?Phw!S#S8Akx=n+xL!w
zjvHKxYrd*OV(v>=W;Ado?LW7Y3lw<Nz3&OwtcESe=)uEPz!&v235FU4q8kb_MoLxC
zr*S%G|6gFPbd$>HJq<7{LU{S*$Z!p82rS~Z!GO;1>}6gJm>(?P^!%(6c*P=mWyEc8
zzWyu8VY@n>#m(Ly>Qg|>uI9fRg>B%nhg;^+H8q?~l^kc8ltl~o4*o;SKs9-0>)LWv
z{LyGwAsI>I>NC?*y+48ey9ai;eOE!vsp-?)#S(~V^73{l0k(bel$RJIBhF=i(B}{_
z@XqEBZafb>U7yHvhMf%l7fJqx=S7g9w^sS8J@BCVvgSG|WjJb_x$q}f2sR0Ww)eS!
z?K_wKpX(_hsbcfD^DX>Hj2OGQc%Hxov~1avvI;7py2{~Eyx`bqdAfYu8anFLB^v$m
zP)YhQIQ4`ZjK%)T<vXll)pc1Se}f$Mq($*nY~Vs|wDh5`l~&k#dieeHTNxa-x8Rg_
zAYo(H?$RVRD{$*|WE$_0MrM+f;?Db=$hMq)Xc23Pw22dj6CzUhQ{0hf<jjek7mHM?
zM=kK_KB<zwM*{W!f1K6Va)KvDYHW6!1s)7|o%;P*95osN*~vkikafTQ{8XhmA_U*L
zAMX@{mP?mB$4^dh491Q%=$K=6M9agCTMR6;bj5$cBxG5Sl&`;KhMWf*?v6W(LdMmF
zDrCupBK*F-R>%xWESp?IpNinKo?Y0CIya1NdAG7eo1!=|ZIWAG1a@~T;x`%bfOI^|
z{TYiX?n@svdi+)x54OH;zvjsc>r6w_D`!lQF8wn8Xs|HU-fW5$e#VF3j>N2LHWNH!
z6}{*QVQezk^S54602Ia4lryo$kYfxP<tYi{bt!!IJ`jYD*2{rONn@zbPkcNkC5#h7
zgTiMtg>j}zfz3772+uZH^$Ms8qj=%Amy&=8YEt-a{;)Q}!o?xQ?zO@wCHdV=WMRHf
zX_(y5W{B5w>QjNIgrQw0m~eqZ3=U%BzP_gnG2&26^Qsj_%A>x53K?;{JMs7rkE$Uk
z<5d;M)kV;|?}31XjRan=DR$#+qGOGi+pg0oBDnqH`<tMXl3+6kp|wQQA>@3qJWxp#
zcA@PxAKpo!YJP`Zk1ZXl9mT2p%SDm)J1%-bM+Sn+?i(sdbZq|?CFSoYhJLm~h7I>*
z(fv=^eW{6tmE2B_a$V*<*pkP)4doFeq!P0^mj;RTFZC{PN}!<m!~McG1qh^&yMiy!
zz_EPElV?H#ssRJj?n#PZdAx9DeE<zlN^i>_pOi$_Hm3l$VkNBhvS}#rrr`!haQFa^
zH2&>MIx?B3jEon~T=@rRSSNG$&JiOSSob9Hw&gPWX{SlOO9*qn_f&oN30X9~bvV!V
zR0SD=%TskXX?V9YI;F2(4*5bpkrS1wAbavun$^&7=tK5oBV7T)4SQW5w5s8sl+Ax_
z9CU>J+Wt53$ttk_aUHrks*X#Mo^fBd(Xm-oWNh~;CCsK=H`~k2%%>Y`2G_r&qqfmM
zH+5JEm)?9Xl2y<|c43K>s<9zbwnlH%tWrkq*m&9uMGM8h%m?Ia3}M~z=%-668Dgf!
z#{TNsFuQR1N}{h3Qn#~|vIeQ(durx0nvf0-3JLn0QZdE_xxl*nTU6mn=Z*LIp@ZpU
zyZ5>i#u#loOn1;ygU-Fcv9f4gT>W)h$F<o6M!XVr7Z;hlI8G}qB<bPgLHDrFwWbhl
zJk5LSjXIwCI35vo)x%BIMpEWGGgNp`G!KVsfUsLTxcZ<TE;S`Pe{V5Im2OY*OJ?2{
zF(frRR_j4uG-J<`ehci^=#;c9p`hi;Ba&*nE;!5iwQkH=!trn0i8^gfT-&M}5~Ht+
z=A(qJ52rPLkIURli_k<F|HM~zCSU0PIeo0)An-IkI6LyWCWf|=W;RM{gLa1DWid`5
zzb=_Wp-vM{W7TTSg__v6&0->C9}qg}Qai<5->f&{Ij2NHiHEtbM+FdeStsdfuqI}!
zQl<?3)Un4d>-ttM8w~X-c*sj>B4u6VSA|=u@IEx#yKHTPJdtO)atRb<haWxl_ca-`
z{b~L0_S@i2D{Ve?L<6x`UQO{2DdDgT?ML$o8`MPQj_%dfz{s_`p0&g(u$KKW?Pu06
zDE+tj=T>zbxBq@5wpA81l9Ro&7qc$8C;P9r8baM2vy>l5;gO8hwfAdnkiXZe`Q|}Y
zEJ*#A&;M2&7UA)88)R%i9NgN~?yZ7LSKIiKsG@k@@tgNY7x4F7p?l<RG8i{Hd^~;$
z;X(I8VoWB`%GRSlyHy!?rLy*ov-3lt=~JA=4j?i+)LGS03AFfL_0~FWW;m5ydny2o
zEs^zFGFE{zoPJ1BorJd=y^?>15pZubVKFY2hcn9tM=4<rC^h{$aIVD~eu29^276?&
zHY{#uMJOArX8c(X>RMy#Zx$90JsC6yACB4S%8I;%lj~h0t?*!`qmDO83g?zB&-o{^
zprTvS^j5nic8%ShJEtg#aEA}cGP*3N0?WWgLrWaH*Y@dloj7b0-xeeavmjbCxR8Fu
z0vmZfZ)aW?L;VG|-&>7XaQ4%Z?ZB`(q9_Ih>rRWJ`IGXH@^u#UIty8KZZd~!FxSlR
z1rdl`y6LK`$cpEcdu6-|%@CRp-Sgn7Fq#`nq~=>#(YsQ!`Gu?*+I_gh-%kkP@2?(H
zr>AU?Tz_bs_kt+`x9F*UC>KQOiH#KskJ%v_8`}~(V*+tXEZ@g+0kClIdE)t&12G*x
zpR4$rfFW?=sQnl}-n@127GL1R5@T#Hxz8Af8yqCxZsW&+gAaly)^j0Q?6}sIea0|&
z^1W(dm=AT`^5$m>x#2r=dNQ)t2rZp2Bt94L!GV5vTZbVp<a2aBDIYY#`L^aIzdL*w
z^&uyff98YB?ajwx{ux5bQpk|@f{&T+v_8ZNpfHjntSj0OsXsoueO=_kE1vVjyt@!`
zvNFnd$s6LE)6%kw4?lcM5>&k&2qSFheH`sM9Z&a2iH*(jBT`0g$-h_x+YNpy+;gL&
zqVs#HG4qEx?-)3?rb!gDk~~YS%QTG0M-MGs5yZXQUH7PL;&^o-^nUgO8a|!z`?Wh!
z2*o<5oFdmr;IF^A-Q;c>Iv$TEw|WS}t}k-s+8s#<-iS;0lcqt+|Ml()UJ;~|#|rX9
zq+xp~XfCmhif@e{mtNP2fL-1ooI6bhO7XT^CGS!3=3!L(jx<rUPL2mQSjoZ5q1q=q
zgbM2dVm0Z!7y{=v@9mtI$8>*AmB2PCn#}JX-gH(RSu*>Ve>bf{q1DMaSW`iiDYHFK
zV9sZM41Y=NSAs6dVaAq5#VY3mr4<#DSeI7QY3`?t*7(c+OzBi`_@xh2FH6C1aOz4>
zI2k85-}}AKmI}(r;uH=y8PpH%8=uKg!P2n*OS!#NT$;{joO>$^Qqt1NfO=JE^N1?6
zT&2QxM^wz{MtKx@y4kHPt0DPpWwG!VDpH-j!)^^IK=2MJmd{)RR<8s2wrSFk^Kbi&
zZE1?2rat{a3!&g|XxxZOA`Q2PDSy=ql;CUM;HOor3IBeXnjcbhykCk-nNL;5>G+G9
z4~MkC7Hr1#xR4I+>gu?FOJwXgYDM>!&_Q#wTlPV3LsYHn)7TNAf&>Mwy<FP55WVf2
zcARd6S4HlB=0a6bKm23bK~)d=D+eUb$QUDlc=(y~s2c8`>DWS_)dP<xmvaEqU;1xG
zlx2FT<Ic6k502^j=s5T0n6b7g#D#)?9I(^CLl>bhGMol@lBjn&ZHpPKUdYHsC{pmS
zqhyvOXMk_M-s{by&7pPb$*rm$3bqa;2;}e^fY;nEA+*{8`zGm$-!5z722pl<f4)A1
zwH2S|vRPq9u1ny$oEBn;cUl1xdT@AZ=xSkU4eD6eTbU>=MDl2F>gv<QA!@3S+5rO6
zSB?7ZYPGP-KK)bGB^?Agy311tfF&X`WUx~UJX|*`K8|R?<yXDk^>Sve&N}6C)N5g&
zF65gAlN+)7G_1JPZD4c0g|v7<3-wBI`_siVP<HBS)ci>sILt&pd@Q4dxcP}ab(5;-
zJ^szIw%i8E5j`vi&S|1(Rv~1dmJI4G|CZ`r8yNikp78E91wl@0|J2=9g8OqZKdTuV
zu>4Z3kLlKchTi^1zG4b+UFY>|*OUzovQKGg|5itXyJ2IniVP$Yx5~_S{Qum3@1iei
z*fAd@bs$0l@$ZYB4wTqHL6qv@`cxIGGS4R{T8V=DVJ6+`ER$c~GuD%%R8T#hpx<3A
zi0Itp07WJTeVjMXHM@{;;9Y!E;7cAjAMx@{p8);~6k3y^#+<j-`>#D6%L%p1^#MY6
zfRFd?X$a0LB0F>Qm9>&=I4g&QD5k%d&Ly0ve6E0BF+(fIvX=?xuc^<&+X*O?3pbp;
zDu-}u_4{kL&l71!<kz^7324oXEpc9uft+k|ik`*{@%*HGZo7{)KEBmD`7T2Woaqx`
z`omL1FO_2U;jtBtz2&$f&?W(`-j^!Xk(0#E*g)k|)0POo7Jo*<TpaaQQ(Uv3CWyGt
z;%Yw#OL#f4@o!>?;`H(IQJJC%BF8sRJUQM18T=+61AIlmWyPbzAu&m0249*a|1?Ly
zm`8J&i7;|*^@Y(pCyCsQf4*-G&9ShJw`h2aAX==*UJsY12+30|;rW-%aBajP#xs~7
zBNGxUuRQ+|a=te|PYjzP-9-b*KX?&gKV|ifYnHIO#Q!ke$rOEZ!mp&ld61GN)ZEcA
zM;KgHw0l}&0`J!}J>TuzD086v2>G=@{LV@*(I%Uqok8+cJHUm92GfyLzGcERO7aQM
zbz`jJ$(|8-K!UDWvQ8P3r>}qVT(>6~BRt^<&nh_*%$1Hg$RA*Z%HrAn{%|9Vy%D&0
zvy>B8tLjt!7O~-Yboa@@1w(kL%-567a)QwAuOAlYKry@CI=9n?@Gfg2J0IbMa+mR!
z?H4)Gvr39?&Ta_y)@-F`kxbtUE_CP=;{w;py}`Tjbdc;aXI{SI1WCB6Hl~CdmpA>q
z^F*GGz;V6PJLO4G_s+Rj63B}tIbu1qfQEFxIO(QaBy`I@Z4q?j2gAW!OJ_X|w8{Ct
zGJ*@!y`4NE_JT-uGi90mO@-T3pT!CXHx7pS?ck;hBlqx{AlX<dgxp^~>Kx{V0x2h1
z%vA*B@b?xS%sf}{Fplq<;Xz{K(j)0hqR^#wCnk3pAV1b-^1C`8#-oz=c6}E^_*;k5
z#WxMm-OMT28OD$N{4iHQ0)gVwECtR6NPoX8%XV4-j>ZP|JXK6Sd`TLXku*SQ(>jkE
zNkSk7)#SODew-W|vB#oXA4}hkwAM1`4e7z9?<3N(xXxoR!sf4!m*cw(;vS3OaJfmZ
z<D?u)O*}eWDEg4$)IBUxDT+$2)ki`{6i{}j^B*y<hYuF&Z950WaAul6y@*o@&e21O
z3cY%8jLnPn(v^S*r~L~jW?xn?$nS6d(Zj}ajsVG6Nem2?b}hP+artM%>l|KvxKORl
z=&aIsRWI{`NK!$-uNI3toAj}Ny}9rD1R2~<=gAWNql!BwUge6#`pEj|PEUdydPRsI
z)$7!uT$fZ4MK-`z+npCjxD{|h_rHk70u7wK;x$rn)&MV-#0(OKR)I}I^>hJQ6BU0h
zxH-)j;JVYN*^7Zn$bGBZ#7NSDw58{hwJ}tv>b-h@<&-j-KR#Yz<JH0b$G;WM8`0ph
zV>VU$3K>O`=4~R!bTQjhWtYrCN5Fu#lyII3!n4&kkZSc{av@~X^+7uHv^Mct)vBT(
zrcyF`Ssxm?1!0UyL)<@S_F<$?4P-rc(U52Z=oqO`56Ky$a8$20kwpXQ`CVo069z~~
zd%<zn-2~Y^E92iqC}>NO9G$bGqM_x>r-7HI7z{1AlrN?UE^DC&iA=5+e2#Gx*E2_(
zt9W|oiYBN|ob~G4sgN%Ik!bqJ0)E}qep?!~;M#4x^MC>sqL<f>R_j@TS~!~O6siqg
zBO~@d`349&%5kXnp*0k2C)EGVX`@VXd+#|W?{c2C<y-Ot8M#3*85?xKXn)eWKR^$w
z%|~P=ivVhN<8;5b4ldfS;@cRYgFmNcTYhe^L8P9RkJLsTc>b*)=V5wf7x((lN$+f6
z`}vZ^F6Q@NPd@H%&eg#6i8oJbb#1Y;zg2ehh&D>znhrSfs6pZf#USv6E#7?F(#ZKt
z3zkwXm*2RP5&!T}yx<*My#6Dln_jDl6~Su{J0cXJ9mKunNWLx7B=`F&6;Z%5%#k^C
zP8Jnv4fK>OTMT>lq|TkuK<;jfztzl~juJ5u3_N3tbLUkL%Fxx(9m{8^oGpT6r}M9m
z*xO=DW`XAU7F9f`?R%2?i4SAP&nud<+F~zxq^19`3g8hhlH<+^%93b}|6?0G*U4_$
zMk2#;gEaq8_X-j8yiRY|W*ek7kIj*?l;D@c$mE^+M|1^pdQS}ldH>j24qsjcXUYyk
z%al>VXqY!IHws90+$FbRN)AE10x=4wdWjvEO?(67foGm~)s#=kz=E}r-`njQ@#v{|
zUal8`-B~6V?r2GY_0x$Hf4ScgB5S4#dK0W+&9}3riA@4Rg++=%6NQAINa=Nh8Y|qO
z<@fF&iQ!Y&k!WwpK;moC+{N4TmPiR{QGIG8g1^RL#}nV*WVja;Ug=<Z(Ads@b>&Jz
zpn3f2Y2SK<VaZiuzu~wAp4`q+^w8o*-|vTndiiz2&G3PWP?<Sg`a{gxBY6<@tsr|a
zwvec89IrHBH^+;N%|GY0xj;I@U*S%BO}tn*N5183hCFJiiG&;{bQW)XlfCtx_|$yP
z(ICeZ+tR<}*luD6ZPljtDT2+!%U5C2H7ut1w27U5se%<*>lS2A7`72g&Sj<g%zoK9
z>G4#^hXqCBDYTv~zX;JoKVPqXZ48O+uPz(ME)y-;8GQA3dk8OyOB0=%#%R95%Xa?$
zA|WlDazkC9pD^dYs@<As1m$<>&l_bIh!T!H_O>yDME!W;6c5P=?pO1gQ-978=6vo|
zBN8LTYvFBoc7++@QP&Te*2pX|A)W2P^J9$2(L1@JXo8Mzn(lNIW(oCs{$lE76U5bp
zsjB(Ibm;t?$vgddhL|Yr+S+t?irDZ~^q9gZ4OtF#R(EgB5bItw#%pK&BUZ$|x(Wo+
z@UQh}-G+=AV*F}J+UKHKf?a-g@zp#PyLYY<3i~ocMB9D)(fVtiaI=Zb(Tb)bSa)gn
zkl8F@aN$ByvDOlis#J1vqXZR?jzl@Kewrl?3FUrTpR_`ljgEX%%{74Mn*L9fH|7YJ
zi*|nf60F!hR99bWZGe=uoelLD=84}moIgi{*r2}3oKP#&$EMQj5!><>h_zMFsu*X-
z{znR%qDJ&!{>tH}&io>=QDOb3b4)I?Rjf6vr0GFLit^;{$z@`7sbRx?8!kwDaGn%D
zql?la#lDYHEO;xrl-Q`i14WKhpD$mS`SJVQ#Wnn_NDj9W`lif>$idZyo>U!h2~ZRA
z<k{fgaHHne76D{sw*Rn8)`sk)dsX=ccI@s;q^v6x!cv~sEd?HJs2)!q3`^!f21o3v
zCKVAl@6x5`Mrz@P2+nG9lVCBmLHuBxC>o<hg_`-aK(r?0INaib<I5jH$3?~Q(cbRJ
ztJ|8e4O@x5=f;EaH=LI*mP=rf^L0vvjV1)Hojz!4#Rv7;`0%Y4nI4w^oa#48f!&d3
zU#&I^K-t#aI3!#KZ>BCk%`2gxbu@a7(hVW3J$uvVV!9l%+cl=k;wiB1Ug9z(iQvzc
z<e`B-3XqB4d)w+H1p|h=JAC(uf_Kk2;YwA)XjA!weFO!%YqLi~n#Hg=Ht3#iv@(2x
z2mB7-ry%zf>orY33H0n%?DCl;qquj=(z_uF^k+pm6qKb9sM>Ef5TXi3Xvu#(ZkpJk
zGpql6UK%g`!)QGc>X>mn^#1T)O*C)2(y=%ri-o`#YHFPZoE)BqHxy~XFv59_uZ#ko
zjyZCYncm}N)?4HMOdF|thr7!5D581obx)Cf+VFYGFEKN!gM(kIc(?Z`!KHWaC4FmM
zq^0jur!cvZ6}RW8rv@3T`;6JhvifNMdb054Dgz{5Zg&X^Re|^_exvIr46yq6c}_=N
zDoEA^=i*yc;q!%dZFmdQZ!hNBczM%caW1*&lDRtOC$Ac)$kOomQ}msgdO8XcpA|^m
z(LnIq+E%_A8Y;^&(p`2Kp)q_&<_wD_hN^tMGVJN7<RuT?5i!9P<$IN{w`wsx`1rxo
zsdNx0hOu+V6r#cnna{3j!}z9pPk8|ylPg3VJ97^2D7{r>^;id0>m4S)MbIHx@<5rb
z%M$!t#z#9dbg?JRfUTXE4lH?Y9PYM;CGDuv+MRkh)2VW8-#Qu~tF5Zw2WWhXSttHo
z55`9flFyn@5#;;t_wy|_I5sHmmM^Ri`Hxz%hV}ZG?b?{ssA!7=AMT`1F6x2Uqx{Cb
zSO;OO;`dlT*ur?D6UUb{J%lYfYqB_LqCfe>MBUcaSX{L&`o@SZl;Y3-GJK(i+0N=m
z3k9oDoXO$QIH!XEF0X?d<;XDhtSKY)uEsCcEG|-wHiQpUS7cHYFfrW6SwF(u9}?%s
zze5Y{0*+sHL`q`Cy3JIxWi`Hjwih>eL%}^FqATZwFs#($6A#{6jq+yhult2Gpdv{`
zOVCK*>55`p+OQf{77`^V?9_1D{}6d*Y>t?3bdI~#XNv`^E8>2^D)8I2g~x)ekKo!m
z&utrMi&(~sP|iGMn2y|E-*~)|VNg~q<2P%A%`Gou`QIr*wvjz+cDA3fHA3L4VyF$|
zoXSl^_sS!OyOO8m<|Lyilgfym1uk1uIIL2Y0dHB6m;!B%p<Vu1X*dK3I*_r(R7Mi3
z_b+0b$`YeyKHaHdhCt3P-_e>iV#u}Wa5j3e!pJz!)ic0B!0i1?`b4fU>=*hzgx_YV
zye+~l;VNs5jBBeMbuRH^O<5@U;w($$O{-3|SW_#!SJSy-X3UN5?7ChTcGgPCO?;9!
z-7Vo6(NS3Dz=8F5=`U`yvQ$dPhx1xru|WBb<<JjrSwJ=}J~|%BQn{S>e6K>SIXpTp
zS4!F}5Uo4UHk?&psf_Dr6)Y#2V^L7-=a;N$BE*I6b7A`mLpZyPC3%w>WL3TkP_oB}
zOX;&cwkMVuyVqV@ZJK6^lMdC2Ii7zA?K+xT(d{LMj+N$S%BTrWc`vfQIrocTzZ<UH
z*1gDZH6|CY*qb1*HX!oVN)rKX+5F$@78wr>+*tSJ8iN+0-+4~r1;H&j9rgY50^`<8
z_0(m4V+i*WMhy{#jMlJ`W%if_hWO_8e^-Kxz%CT|tlRDbqq_D<QLz64W0d?Sp{>^t
zek~z)qzk_?s?<du?mM@@Xfzx7^3cr?MiP(nG5wPvsa$_xXWath7o&OfTO%Eh?i&1I
zukT@aJrMQ1ZM(>rk6qxl-oWH+j?J6??fncTK3?H<<BJTTO{zW>?`YU<`Qlc@^FhYq
z^(HaDmL<k{o8~_2O*E{m8s#mU`pfX-t`T+^TV`bXXIy*IOa<?<`YV+yV+_aJhxQdI
zvs7|zHagDgL4~v0Bkv%k3C4ByqiGxeuvE?!y^7Z!H9*N4m#rI$CK<*L>-+^iuvTuK
zUOlfFVE`d{`!H;tW~c}?yxH=Zt<pkj+ICsm0KZC_*~{ksG2*_M#FhMGuk=c`D0TPI
z2al&)?C;`PhHiV!up+@(8DU4dn{rnV?>D|b_Uqz2<JcRq?-h?ol|N=5Y;GCQ#at_#
ziozBd#aDA`g>1Pi{|5j7|Nj)1cRbbq7st))z4zwci|caj^*LOnr9#QBtYl_KN<+zv
zh8g)%D22!<@p)GwqL3s+h@_A$^Vjd+^LU)|IFH9UugB~4)ce>qdO%Md2BJc+@Z>Gr
zIXwyepl3(irPG#n$!hTa(6nrcJ00@Sj!W>H<v?bsQGqtURiWFKf$}z;9(`_feI?G#
zjRJO*D!n<Z3g>@owDpfNphyl+lTivUdhfJx|6mIVDCLUT4SSgoB4_zoM(`o^xZ_*3
z79@~(bKEkhiy1jrSVn{o@}n~<L(a1uMA*%HR#_^F1?4Rr_I&3ih^h}To)GgO!r4Ev
zQGC1E&^{8pXy6n^>vTKgZm|+!R;J){izx?kBdv+{4vHWeb^HZm0|A~rzbZ9yf(u<L
zKsI+jiJ`}OvQiG03DDH|-9)yU2bsSV>Pq`7f$W|3y&Q2N!0Ef&ArxsoRBUx5WM!{3
zx~uGX%H|*e2B$p(n$Gc~tw}k~F;7`kyk|DC$B_Wc@v-^_>jLP)i8NYmqa3O=j^`GL
zC4jw=n*Pa5Ar#iSH~#=d0rh2^JhSry0ZLsf3O4OT(6!LcBVo@KQE!97ke(S4wj|9j
zpVSvac;pooV`pW=?e~<yYM2Pj8_TmLCKBkfb?WOE0tEE^yM$3hISE>>bW^D(rBI7-
zSpUbbL=;&qpQKQy3RVWU|CBwILAEt+R^8RAsLf2mj*m_qj&d1|x$w&&D!cp~;kG)m
zeyBRZlR^eQQp*loM|pII=g2vs5DnzjP~mB%O@V0K=LCC&0-6^8P_AA;L2K(_)Z)FG
za4RK|(~(yR8ParllFn(O?vp(SM3c0js98*8K3o|&41VJ9plKnRdZhEozf>sSPmMDg
zQbBbk(HeWFv{0;-rf_bW4tOvB7rhH3q8XooTlC&kv?2M3bk152CU!px>`Wsel{bB!
zJe5?$J(fh~q#8g%1X}TJS4FOGxGyC&Qqkv(;5=h>Bgk?x=j;BihHOVN7F4fL(Y}|0
z`6E;l$eB!SKHjO04F3y=ai*gp?`ytQO!^pT<1rddv1H^c@&1-0Sqt?pc01eO0w}Yq
z%xYLAqfvfCh7CSVH2MBnmq?Tur0xvTT~O3OJsZ6}o1Pkoqc?h@!@?Z?JGW6*%A|pm
z-T(6W8L6SCI%gGjPMbs0&o|yj)5&N@R#1~@69I(>&@i(A8mM2+?sz|-j=p)R<S;5K
zp(`2TdpDbCaOrxlfI+_+8rn>F(i|g)$lIWBc#Z~w23I@svQ&|!(lg=R^AZT>z1Wnp
zM1#)Z^$UiIBqV!vvm@SK2>p7UVL$na2BRBd8HHB}sIsr}lu{ix>Qt7}p2(oVs{)?(
z`Br5#ko5B2raBYicy(U4$czSThMyePHx$uD+syWMn`Qj<yQj<W#T@8jBr{8i3h0IA
zyl<!ZSG?2F3~W5iL9T+cKi5GH1*-*=|2X&&>y}PCT=v5Z?#-k#R1sy+g>4s_?Tg>o
z^Zcz!IB5pVPCDYzuO-k%jv{#>ZwX6Gu?Xat0Qj<d(OoJ*6eV3(JYV*E4ZD>(qG#*{
za6KsJHX&9BSzXlr>VIboOUYrN&+f+H`(kK&W;H)@q7jPw&eMU+s`b{PZ>BI~DokfA
z%ZuFo)&y5n>0xQ(_WA5(6R6_vTQ<1HfwDDz2i1qt1ON51@;)IGSbKdxz5`=H#zw||
zr6KfCb;?<o+0+=)FL$&>xiO-z<?+eiP3b|s$T#eBfDv@(vMmvMwsGEjyAv)?(!u!?
zp^>A-hEVW9$ZaO?FFxp1JuDML2UkM&^%qYXfZ^?#$KQk&agSIG+s{o04tJei-KQA9
z`;G=~6Pp?QRS*3=Mbm8zrR5Tj#ppxe6su`++BjbLpjM~#^cJ=<&y{w(M-M7I2;)|_
z2k_;yj-ssiCe{{jYi_Qg2O29?p=0OY;WV98>nD^=jP=FVT*-A^=tML+-PCmaa%`o-
z*>@Y*o2N=AcP{C`rLTC=+|Jk7_}uiwrJEaA{L0VlkH>W2MIPC$<@QI+4(n!nmbigg
zl^@6z`=AY@&o9T#-WkL^M?^XdYc?>ai2Xqm=Gwqu65~h;8pR@R#+cs`+{DuGm@VFV
zDn!h-+@S87!1nVEO)HjcVhQ<y#0Whqq^6}G)*Aka4W0<3&<Af}N5h|rZ`Nvo>)B8#
zoBh*Rh6}HcPslcA<GNUzWUK{`+zZ(Z5B$NJ72NSLJ35Hse|bRYjV82C#C>}-Gl%6&
zHf6c<(Zi)dsndzpnqaX<MR78D0o#%3{N8Yi9zNCXUY{JHKtFT;jcLs#%)8@eSJ5Z~
zFb({&QxB(rxiZ^Qz_(?r?w#;6g$+h{CiSJyg_{CPc0neid8=6JM+g02eP%d%z_Xt7
zhz97FkXmmAuVJ$73psbPc0k(OyUL-r$*@1@Y;nW!4XhHmkFUwGLhXIGMZ%Cecqg}g
zP6^n;vP~p-b$i%=A+*ghOhX;=qI_!#4$*<|;DrC)Dh?>WlkfX1UJZKk`Z38EdMJ4O
zdg|IME|}K27aTaP3X8c;r$XK^!1iWo@H+-x$US2or{Saur0b)R7nPadbpJ0NUEqWC
z#d`Yck0kj0aJ|j+J~NOLu5cCS@IxH~m&^B~B#8Yh{k7SG1uTR_R^3Ge!EsNceD@>~
z9E9T7omkmmKAPeA`)VN|o)jHxizC9vTdkq)3+!;t?>U=uqzI_Azu4`pO9cC}PsRRh
zTreI+t-azQ29B9$_8wa%fT3?Bjc|Ym8gFylsg0C?4_psUF}4w4pSGmu<56BHVBjm&
zsh5J6CC2ais|dj5X>06fzz?SG%f-<`vM?lF_jaO&0BUr6Zn}>JV9WJ2gSn?1bUorY
zbg!2H={mtv!<Y~lJ2rXQbjXA4#qZ1_B1DkBka1CTK^S=Mj&o*MDME*DdPY|?5rp67
zCfmFf1r7h+Kl{g(V6Cn7?<yw=R(N>m3XwRxT@H}!xS;|~*pV=-g9M*<3KnG!N<z+%
z>yCZ4MEG*n`^3lBs?alZYl%%#28P%!GbG5X!U<9RBgQLg&~>TJ<9DMh(03~rB(15z
zU@Uf5Hh>I|1&7pnx8<P3?^q%2BN;AuzLg3Wp}?*8f0MfoC_q?c@0h$b1?qOKc|VZR
zgljp!mFONQLL-Bg=|Oc(sQs|T-(#%>AFR%_`?D*<NQsZ2`?4l54#XU0DW}4T(EX=p
z{8b>T)Gx)qPzyLXeipyf)q$4yOO31@1fXMP|CmLhf>R8mr{9Dwq$J~0OEM%7Z@(#1
zevt|U(h=^FI(@i0lTn1bs6yI#*Xs5>DjZPXmBv+M2+aovLt>-VKx_2%oKqwfcqN<p
zdJ2p|Q_0BuN02(?TyK<D<e-AA+if!KKT|03jJAD1C4<;=H$A6+dk^T{o66k{@ce|S
zuxA|^&QEacyJ)2e!bjzJn<!@BIs85P=qefT;<~IZW(t@wQmz-#nM1xPeY4aI8N}04
zOHA0+VRy*LW_N`-Jh6Tfzc+&nA@A@&k*7rXnYUJuW<-ODd)3Bui|Wuk$5`Z}stmT(
zH&{b*X)xH7d@TN7zkc(&I`=Jk@b;eAoBGcOO^4W7KMkwGcrc&4kgPO3YO9hB9j8I!
z3oak7^CU2FTXH%1@6UDFuK3n;(m-cO(8}Ns0nnN<r`riWa4WGNalb=@22!@6w7CjU
z>f7a0f3tvujzXl(0U8MWEH#OUQ33{I9+}(Ho7i!d)4wkKHizHrzFYgN6o9*X{<PQ2
zDNKuHC^kLX9A<B(KZyDv2d7m9>+Oy5u|D=3hGa%_NamE2a#NIr{TXK78-Zi^^vpS?
z*ehmm-}WtA`iLaxi}oe(XU^feXWmcNFq=Ws)<>1rLNTDrnCA=%TEX=%T=|=D6`=7z
zsSZjPhR8d$G7}l=cvQ>8P$?Tg!4(r{U0eVp>~o$-Ic?z?R=NadSqwCpITQ<J_+Ta5
zv-A@^9rD#HVt3au1-;yTWQ!m!u$no{)9g)$jJ`+Z(%YIq^AFzrkNDX@Y-X?hz&Scp
zBE<U1F47nV*iR0{$uI-)k6R1bo(}EVO>NRHF#^}H>l1K;9(E2$e(hkVLma1DYq4QN
zm~j+rv3k3KozFksdvxzME@yQAB9pWsEQfn?)k>^jBrmNR!;@Qh#phS0EFK2n^h^DL
z4bMFGd2Ao4FlG~vG5u!pp+X;|4$BKjsQki^>UnBH!3M5Oo=KQw)Q82H#5{SeF^oxn
zo6CA&9k=kgsQ1fR4`wnF4{BTVVRgSObHcUO@ze!Juc&%m5L6*#8~C<hzXIb_waeCU
z{!<t0Eo5}zkBr%XWxxf@Ablq<qwN|Vx~l(_@tO`yj0~L*XL*f_dfXM`Qe4A*dKw-^
zEono_lKJ|B<ZisUzUx$i!Ww==e!Vg5q&7rcxvvu1)Q>AFiwN@kn{%>sqvh>aDoovH
z4{%Z$!S9{R{nl2shIe(2xE-*k!q>Ac#pA`_aU*Az6Aio8amTk3q#wOn5L*4jY{%jc
z{J@#*J>NJt@TR}PVv!D7&_XYF>W26)oF{&?eGkhfKFfPgW_DN;J{pP6YY=B}*_TZr
zyY;qkN80s4eIHE_n+VRr(*NLDx8A>t%-hB*`y3PYu2LXm_>`x-=se!heDZ9-T{<+*
zC(A39Kmpf)w>GVJ7jUQSD?5Uc>Cx@x5R)<)3it*#jYeoK;oo{5T&d4yK!&HRT^WKk
zfJZ`VC-!L>w+}rP$kxh;Si-v-OdgS8QIJx|o4ktmXBnM6CeDns`K(^5&#1#rv9YV~
zUDxo^`CaWiX*<x4tA+RI^wmNB=21JBgBv*SGwy2*8m#F2)u$}W|9q1G<zFk^xA5hk
z*WMlb%Z7pt*BefJSB0vm5&z&rbZF$$N-u4W1NlA>rj%Q%g712<sl-)!<ke(D;+Eh>
zY^0kWo=-_&_`A^h#wP~E`k_+5#e^5FeN%j^s!9UJ^J6Y`W=zQJCTrKe1U_Ws_vXWg
zM?{En-TV7i2QzXEU1%v-=0}I*oKp805+P1RzsVt*1+i7~x%I>fqMK)yygGUaa3OJV
z%)^=uJx-1-3D6Tpe7W+i=o|r9a)MLg5C^i~nSY#@PZZ4wcJA-fC4j-{6C?T2T&O-Z
z_q2ncI9gY?m=t9oz?s(HTQ2=Pi2Sll_7hDKUCbD>o)}R94v5-Ot;>g|dt9Oi|C2@{
z4k5t%MFq<0UN?NZ!;g*-LQd#q$|4(%S-x*mD$qF)EbvfH5Dlg<ygI)shwL9~uq#Ut
z;Gkt;*?hAQ;{25PT`*Vy5m~y&ECL81{m^6A=@bzplli=(mPrX=f5{yNKMC;bqCI<R
zq!?;+v1xQIS4KIu$>MowL{J`&Xt9o$KxS7w<kkZT=w@`?VxB(<h7WRG6l;`1PqLhF
zGL3{Xb9Ch<E~`RZd9F!4hb;OjL2h4FP(#-XSlayu)L^8~zGQZf9J08Z@zRBZj2d0<
z=;)s%!z%7RrkN>^Btu19`2J|1-BX5N=l=0&PvW^#s*4K9GWGsGkueI|`&Yy;!A=vH
zlDo&F9F-9A8a@_>Ya)VLa`Vx9TJWYO@mfN&GGZ&ORVj_tLPx6JNH0li!=6)P+JRaG
zWOXQXt%N{D52|uGCEw_P!+KRgUpf)Rvoz@q=Tp%$y2Mq{n|ctYsK6=ti-c;eRnNwa
zQjt&1l;;3dK&rpNO9s%}J7nsvq=qE^G8ANwQBmO3#b3X!8Nr!{vP`T->WFcjKJaG_
z6|E>R9{ZkU0*o-nEh9%pj|Yyo?At*_=$ki-$9)Xy&J+67JIH9!DX_IhP7BSP@-pae
z2dH9onBLIQKwY{;3tMv(G~Ji;(yG!7Nb*%a0f#lv`!wDTNjeRrUO}>qjWP!*(saGS
zKW-KDRWRzSR7G8ztn4SHY2cOHVCR32j6M{+tsqGgkj;8&I7b!@JP(@s<b7607J>0`
zB_|b8oiqPK<w+W-iQM;o@mdXCxo%&GKb1uW?^=ZwIW3@({xNnvNEOBC7X<|!5Jwpq
z3+lrx7NC4*R&Dtg5h)xtFp;VjKqAksHwk{D!PAP}raLeKI%grDh{toFr+hi=W!W^y
zK5+CGAwn6QKgJ^bj!2J;Z7hgvrZmW^a(!|nUlFZqFYhJQ{K3^Wrrn)8%^^===Vrtk
zdG!13z>8hSU*h$a_x4yEH3yp714Gt7vWRZS{(u|nquAlZs;vv3%^>)Tu*su?(#Y+G
zw~bxeJjQR3we#y?Gbm7&q5C^7jt&>=pL^)>7t>vdpVICI2s2e_n=BPUo1B-rRIRtL
zy^#yt*R271wiI0>iv<x&^PaKiy>wu4Tr4=Y1cS%BT&%<g`H<nkiKe>m^njmPHPopw
z1vdSeN4n|UNUivwy<|88D7(w#ueX~(k5X)<<|G?pp>cN=K45^7N1qG%r~h#%&*=gD
zAv4-VU$3wyivh&HNa@-M8-w({yB5iP^vFSpwLQ&|0n`jQQoVN@fiR1n#Nek5+?7AL
zk8ztG-ovL|9hVHjlqZ|^^yxBg(m6nWc<UcGEn&;+O$I>H$==R4nZt*_^3P@|(}VMm
zYHvSo19%&sc>e~P#772i{dc;74tB>6{>gRK2Un|Cf4+-;!-<ayKQ|wv1EO$>t3<UP
ze0%yi<w$EMKBdDRa+{wHj_F=5jpoyXKe)lVg;NRMnKxE1UbT%qIZV<y8KMi!N$0A$
zF1^Bz-9e}+U>kG2T_Kg+uLGT<Z_4egdobfY`}_r+x3P69FZO7c4$QUYISL;g!d5G8
zMUI}^#*R3USCVSA;hInQt{rF$`^Xa_yuWuF^Ln=Nmrh+9*iHu!)z^Pufi^BS=csgW
zL1(YUXb~0cu=W;*Kff@G@lry0CLPosEHdF&qQa?2Rw>&jvsg+TaX3JN9zr^%cp{6n
zzz0@a4U6Y6ezUy?&%dAtkr$r2%w#P{eN!nC=(~Vby*?P)5X}IWZ7nQH>oh?FTEq9L
zEnzVW_ZakC7{RrJW5m-^6V&x2@=yF(#$2Cdr;&~^L65)qnod6jzKGV1j5n-eCoWSz
z2*xsl=JpyvA&3Hd%CGHj%3j0PvzWzeI(EQq>a~N$oD{gh5x)5}X#>l~#9oP*vV#5N
z8-0|c8W3Hi<9IM@3#*;65l;Qg2GyL4N6Pca0Fj)0-0pM`oO#Le%^eQ-w(p$(o>_Ic
z&TviKHi;hK$_0+{R4(w77klWpM;)$^cdl5xV}QP(n78RQJm5RyQCRR;4SN6c3VA8d
z1Yz}$7unhPfTTi7ye+8)tFJPq>u)o|@qJGwuG#WK;QaSkp$t{X4{z5rS7CuAzd+0W
z7Xpy^SY}XKS`~~^%r;{BS>d%_O*_R>2x>Zl)J7^vKslK70adbtTKlAP_o6UxWHnxE
zu_M7jLP2R@6(_9MM*rpf$8*asj@-Y<L4q32pFD!!xZ#wl=(^HtaR|8gc!ldD5w3cA
zzgEiQ1tG`yL$par*ri!j*i=r0i}T;yhR69JgV9jK%0LE)M_eY{?h!$L$TpL8j{yAO
z>Y$7b$U>ps!(icmoUyCcuGphh5agJrZ|>KUha#n)V{xNIFnls&oarqLD|Th@>#hQ@
zmK<6grIO&Gt^Je$K@{NOg>fxKCCGB4f7<_u1X@vaTC1$$kn*?bYFC3Y_}=UOSY)FL
z{EsX7=Q$*yTmJCFFrR<<p!t}@3P}xuF11PUXi5W9Y>GsZG6}B5?HBDcQU|+OYn>(|
zSzt1%II{9v6@E7<bHyf-L2#0J|EmBw@EZyI)KsGmQNJtLxOgdWg5dpSvRoc$W=+{Y
zqBJ1Q==7`XZ3;YVU}oyrPyj|U!&&+a3S6D-4yzE>0$qneS56xxP_m|7CY{iP#u>k3
zPwc4B<hGMXwNx2m?=`4Q324FPqgmrs_&<Hwl^r?zFOSIBOmXci(gNevy(1ilbb*m!
z<f@Q05zxt}9If0`a6Yp6=hMF&{<*CtdNPFsg4YrxCTUcNP<v*Q-eUkhS2K@HRjPtm
z(z@TaF%`bE*p@RqGlC-iBX)sRYM>l#F|4|v1$xIW5AokOft3Cszmlu!FhM;#f51%(
zhS_#o`z2s7l0Knrp+JUhor1Bscum;6u&Xos5rEfVp1smVG7MOTp7`od0U2x~r|^Oq
z@H*ziiDi@FoPX1$P&G32{&3)HH!z3)cKz~?@FByO+UM`h|NZMOp7!O>UFHxz#%Gl<
zrw$(CN5YLisKCHA9n$~{8d$wz6spryhmS9xnO;Ax2+NCv-ZR%}AfoYz;7CyehUYFC
z4hym%>fC0fUqyqSj`S-BmPjD)`TMocJ_(S@V^rg)q`}W7ElJx1BJ6f%m7J6n0tFWq
z!ry;$UNG0^S*)o56Q@}vuLuulT6HW++R)$*y>5ilA!RshAMwD8#tg$6HtB3z<}ls$
z>gu@+MM$2`^s=n_i`~&@6Q^aF!-Jn1pQ^sdLxF5`x3<#{Z1;9I^$Woqx-Zqww8_Z9
zH!~eW_NO<ow>!m;5}ufW#Fox$!%=C_c3Si}w|@i&{c^EJ9Wzi`(LKvtECDY*`WVD4
z&)^ZYr78~308%ekKdVj`g}g9U<;?SocwK9L?z#zp+G>HLL#+^8eRC$Rcyk56gvKkl
z|J^G+_{Wa_I0c|hfOl{X*6{IMncekyrm&K>$bx0^LL+HAU?hGWuNTyOu>RZxQU~5Y
zNPfx*7ey}?zu?=znS~6aVAvRfD1{2#g{(09n13*oZ3F+-+uxJPVGL32_=Be_Oz>)#
z)gAimbv$yygZ>j{1pP@j=e|6m2T4JfS+4Old{uksaQ<0CpvhT;4Ml8Xmu@*e?_mDN
zA1^y^-)uC1!HEvbdZSfr>1~ANFyCLiASX1yjMV^aICQTUrY~T|VOB0G;;Z=Q_W@3(
z_WGbGStQW6FoXH$mUQH*uHZwQ>o!VddeD2rel?=(2PXT@Fqrw!G9HXgDP*(hL7PR>
zOuE?!=3C0ynVhnOHwZXd@Ac7zJ-e)L=qP{2c)n_6y8d3oYt!Fv{QjT=x$BF;dr56r
zb$PQZxBntO>FKb`+)xL4Wd@_KBvfEgJLSW72rT01Yfn${KhTE5L{j5&Um5Ol^`%Jf
z@B;4d^SD_}QX4KOICM1&HsjBRyEr0x7I40mh&ivD|MbcyOOQzE!tbRRO<tM%SO2hg
zAm^Wshobu#1+IR^trE`m1?ny0fiAWZrO8_0W*J|p$MY3GWxcB+qi7MwTQ?lf@M=Mg
zv)IoWxe@%?EBh}Y*b>fQ95OzYt_c#Qe=2w6jp4+kwX;PG%lKvgxAxPrnxG$Gq4Q(M
z1ism+E5J9mjNkfkE8M?~0x#~W1U~ng#6KmZ1b^pP#j6Ck_?<Bdbfw)(T56ucJ@^eJ
z$`1d<?*+4JI~Hqzty<4;G-VnOT%XN$?^weR)oMkT_mUyAJS(KRbQWKr*(Cd&*}$*=
zba#EsNrnii?X+{Ub2!CMroPmE3$J<je)Z7*ebC8Gh9i0&zaFhS@LHb^F(sHv<tM2@
zBF;U0@%IA$=Eu=Hk?!=!HpeCDVXrELZb;o33R}Vxh&OAVmocEu1@rTXDylF$^r}-!
zas`)skSHN0#e`guN~~`T3C>ASww{cw;_IcuT9Hqf(W^G5?n^^NNKd>S+t|5=hbI2)
z77AoR8%MY4C3g}*=7#j<(vJ<iwD`}j%MNU)S#I7dqly5`Q4^dd<ZYbG>R5htC<prU
zXl+Lzi2(aVE%$r&(4l<8ZI6v6E;Rn2*wN^r3T#U?2xXBOP(%pb`&boT^u%uMPaRbS
zEZH^g*OV}#TvOJt<wQQj^Xj6+hZbeH%j;b*x04w?J0A339KQg%MD1wFIH?R_J`rKH
zY%HkSExc5)Q4qz494_@1RECwW^Tib_tcdX1vMVc181)!hjeY%~1nYda4Uqr`I+4LW
zqns*=o(!hRPUI*-OxOiAIyWvPXyp>v@j@K^q?CDfMkztVe;>7<Pw=3uow?7hic6tG
zzXVO40+nE^E3s1DmJg{kcp~0MGH9DKOW{ql64+k1im&MAM_;5w_=gSTQ1{i@sINsz
zFk~MRBONM;mSVG<a-PW}PSz(fLi0+{(zin~!$26dK6nvz<A@?UJHOeN<gN^tJikls
zP!dIoIY)!NxRlWcRxVu`dKEDH`QPBSo;XSzwaRK5Rzc!Hp4x6*Do}gv@YKx^NtBDL
zS_!ui(b0~avYY_|kd3^B1p1^=PZ5Px@vSPl##6KUp9%@qWV1;gm9oex%huxYM|Jdj
z&D1x)K@}b^9bNC@kVnetaT{x68YuRx#{Qc7>fnEyh3FryfNTtZysTfQp!JjU%3eP-
zz=xrI%y?E2@ddb@D*K~}+$X+gdRb^fMWj^4c91ga`$?L9+pC4V=Y~=~G;2ZN-%H%<
zt19Sma2)vNQBgkcEZuUHHuTNDQU4N6M7Y9Po+n1y2qJ$)xw-1X{{R30|Njh^cR1B;
z7{~2n?`*Oi9B0`3cRNO<sHkKlp+Zqe5hXLCA|pa&B}7R>(ffOBDH)NBLPXgktD@Jx
z_doY@UHA8TzMs#nd4_NIeyJf=fyaZKdD`gSh8WwqQ~FSRP9?wXAPEKC9)7CUsEtII
z(|!6f41q1{Tjj%44OF~NYQgSkBhOpc!VmQsL%`R4*IEk5$o$w!{|Rwz#Ec2wVUWVW
z=lEXtz7PtUOfmT)iD@B|5xE=j4***CI;>c+P?4bpPogJ}CbBxi(p*t$1|QS{Yr7Pv
zXn2O%@pvK?X@lLOS_&Qf9X>Jni&0VGl1h!$*8Wee=i8VMm;-UubbCWB1+}*aQqfaY
zM4bEPTsUD4Jk3d#lYhuaERxIA>z)!4l_CC&vbKPKuEmL)V;ZP}$%Z>BRt|M4ld@dH
zEWj!K3{@wVgkamqM!lRQ%HXAYv0Sl$7>P@&fm3RTvrkAa2??R5V|Ln=P8PtH#9u>~
zS4Hm?mEHepbD}YyPNI>J1$d;(kdeL$O5JhRb3$taZ&w^|7pX9ZtRuUm@{N_yYekY2
z5+B9UDcdLajm)9+*yp-1Lj{y7q%&jg-H)YFe@|V0MTg#?#cUlDIb>Vz$T=Rig!yY0
zOzx)Ap+b-~F*!>H-MPkpOEq8vV`&{M4=OMN2e4K=IWB=1gJ!}z&oDuj)-95ixEZ`!
z6E_q)E{ZI4ZD**WtZ=Gc24hVI(5H?EyUPfp^&4!T>qpoCUEBLknFpY&v|Nl|L;wXI
z_qqRRg8;jV7Y?p$-7)x@HrLu6ZWOV;F-1>hhmH)-voF<5p~m;AoKhSCMTWK}@wTu-
zi;{lbeRC5Kz%H@gm}5e`#=Rj)FWBMr<gIe2lg1E~;E?(wZ3DmA?8Gy6fgQqRx-QwJ
z83E~7-JF@y3NBxfdp>GAJD6k%_4d6tgj#<2kcQP+d^U;q&TI_<!l|S&BOXIIWLf-C
zm~RwMx|LUK>q3C(=#jgv2Mu6)$zk}#rw&|W@n{$ifdKoe?9YuC>H~XQ2I*ZyE=GI(
zE83-j4c2<>nV2^8K%DbGg+7yy*lv@H)RIg#2ry!{&Uey-k@Oqh!n;SX9dJ#NErAWZ
zvvxap{HF^62fmD#8UMh%NO)yX78~dmH4DtB=)!d1rgVMsEH>e$2Zn8IFlJm_@h4pe
zI_{Nzlhs<pj&QF#a>*0mP>USVkxK_cEk}A8Cx2l=gUtu5vIr2^r}AhpS{n@eM^6NX
ztYXzhzLUa+>~JpZ;#F^EZE(EAz!N;Zjx~MJ*_-%}9U77ZG-qSAz}#ST#L(t1R`;`b
zx^bEVXnGB`9(-ExKuqVea^WUsKr?MzWa5GnF?igTtqC56A0xvrGXSp2alpr%8~)Uo
z%^6TMA*}mfY-l+n%-;yT{`@fyP;~-aYny10n%j2y_&5`|Z#NA|-^B+<=c_KqdC(wl
zyqIxHl?A*leGbRQ^TQ$a7cq#H25p0%T2jJT!S6nPR{g2~#8^tdd00k;BF_<%cUw7Y
zEeX88c2^LztwMB@oT<Qh*`w=+3p+e|EAF_nO9<*Vp}Uul3RwG{AG!-1a3Cj2;JW-a
z2yHoK|1*sO60Lq*Yq?yo-a&t1oh$+z$5!3HOHiPmF<jXvfCv1_Vvh01ioq^_x5smj
z$<Uv7*SYyP9~kO>uXgDW2j}_WoEwM8Agt`Tk&E-gbbY8<X}%<^x-^+y<0r!r*C!Dy
zBLa|L<rxlH(jf3dvv6rh1GfFzG)xl{0vlqHzI4@g*u~*2Nov*r!PTi<?@tPYRl<zi
z=?z)fUAq6lREq{|e;yyr+OZ8jHKzu=qRE3f3lopk4-MEynLQO?CkjG%M|E<r0<<K1
zTa*#WK(TfEMwl0aM=XD<IXe}hquKetx$9(*I1#~cvRDG5`%^7%8Yn}rcYZEaiUPB{
z_5`ELQXt0I7W?e63do8SobBzUfY$5*xu<7j;3{vi6c<$$7GK8-zILZVW?#|Xn<lc5
zmu|al_PHAD-#w|>`ilyKId40{_sYSkDTf4mBNDh@P@<U^(4hKn4ng9yJltAm3o5A6
zfC*+{1?E6aF#lX(qnxY&ZJYT~`HB?qJ?U)d<E{mxjptm-sujVYM=(d%kP0<5d^aQl
zwc(Wl>KvU=0_~H|86VoHAfY)>UtXXC?`w-9qy<!f!%a5a&WZ+@@w2eg%er7V)FjzP
zBLY!p@x|k88WeCoe)0R5J`6lGV@oqvg%*z5r;BfCU~kOZpz_@S#@dV)d@;4Hyo?%m
zG}B=0K)Yhw1tTaOvC|uuR)=OPZPFr{25{lK=`g<u@LCF;x!9`?C)DzH8Y<A>G^uBA
zO`$1B!Pg4r<0Ob=As&{vL<I|*=o<&O0emsGPtZanpiZ@@ou*UZvd?Jz$F~4>6*FXk
zF%l%PM%;R*ssVTWUeWV>%wWlGvD~YT1ey-czJ*8)jQ><mb}pJhRFzSIR455NJwKo7
zlq7;wQ~URPS30PCGQVpxs}2Ed!_EKfl;A)b?}bmLbU3o+6T44M9VCXDFH~QahhKeT
z&l>vZ;G!Q?d`?>pZVUu||9E;kq?}6Qa`;Jy*J@v`<_f7oNPVOYQCb4L{~i4Jc90Hq
zS4Hvub`{X`-+%QeWgAqzYHK<4k`4tDVo#s@E5je<8F}VvevpW(d(|06hdnxo{VSsq
z<eY2L+MUe-I;j;RJ84^els}q$H%<Y*$gidN4>Ccoam(JvpUuF1HF+SBM;=Z~73usw
z{u}%3rg8t_c{3nBtZm<OTNeI{*6CqXSisbNU+!||H3Q0>J5@u6WT2IABFQ#x6yurt
zTzMi7K%^uk_fxhcoV>bNzRSJ?TRp#CGpG&VD}A%cj35qfS5^{*awG7iruEzTH!zU6
zVafdCjtE%Wv(P<9TJVZ*zZ^b2H-#?gAKV|DgyBI~Vo4mS8^2vBWiUQ$0(D;!BZ7Ad
zLQl|{`{Gfb@fCgphtFGi$hmavEX9)_NUI};JaYZ`+R4p}mR82V*{>mS*@*|1+C|5|
zX7%CE_Y90*h%kcFcdk?(x8MZ1Dzh9~Krg=2R_0VxogsK<{45lTB)|)AMILpYZv2+P
zUiQNrhG42|LTut?1!78+%iHL7+@m@DUHeu~DQsp6T774NZmDE3i${&Psx<Gbsv>>h
znPJ(dz`zLCHyRHeTzQT^2sFqX*wlmiiPea=m75skapeD*cg6lC_WCe5>j9NzW`|S%
zA1p@dAlt&#mzZefF{y=WU9kKzLND`P$Nbh9mMr|5G1*Vo`9tM&!HcV(kLU0z7IG+O
z^Hg#tCfq3V@l1jaNSEg949Z@{Jgyi@|MKp|_T6{cRk*GViN$WKdE{T%l>o^Pxak+n
zGSxM8`II*N@W5E42}_vRiypnvxDo9BcD&W}n-(0U=11smU&JiT>^}&d8^h8se$8`t
z(SnKfi8I{(3z&m^d~}271cnCQNn7=6!ugxC)>l^Nv4+6)%6CU6F?X?S<4$Ky*q?au
zJhglt3)rsovCC%$YyDc)I6F*(k;yY&XOic!7je52#I5GBFeZX@qBjjn*k{cQ@6Ka(
z)sIvBzAs?PXLPBV%TzeRa_AVPYaYwGQ7Nr-dkHflv|nJ4p+a_J`=J>11<X*z^P1t&
zWvn3Hg{NJV3XXmf*O-bIurs@bI;YK6G0meH<!_xS(DyUDb$Qn!cJ^kj@Eh}W>{%o0
z?f4sHQ2)3&PvKp{R6;sp&w2mB?k<<7_HXsVAm4$~&E+MG>pO#%desKz68WB3OV9v<
zyjuj3X&GzU{G;|zf&nPG25+owNpN&!O?Xmk1)G1~x9S+k2p9U_3Ea$5hjatKJHHZF
zvE;Mr_jdkdf?YG5zbod{AimB0k}uynMwAI1e;>{QS4%d7zgw$;a2M0|xi`NtMp}W>
z6+<>SfIrxMx=a=J`K#Z$mh~6={CQ71U3!bts(P2RMODG`oglTfbQ7yo-W7n6I3X}E
z*Xw&c5l#?ty`4fB;J;jdfrV4t5L@`$rJaQcz{^(c^_mgv0;C0%MtH&LDnkToyb9b3
z>hMjIWCqK=V!g{P{BTn`Fw;>~1)gYhpD4b^0##YEv*$n%rgz+`e)mKfG<!#gPj|5a
zf41)Y!2u!Iw>PHY)*)peZ%i{YZN2YV=H*J+>}{YK^n|9&sSF#VwjE??PB?Ia<}no`
z3XdG6FYIblg1m{TC|+A`IAL(uxjRc7Xx1M_#qyM(=M3TXlS*DtCzvqI3`@eTD??mj
z2}<xM{1lT~F+W7xzFw3(ECck{^>Jof^Jn)&TGT`ZVX4nm{C9*b2rLNZi9S$*ws`M*
z+z*7nN3B2wTattH7axS54=F)x>JG+V4%;Am`(8@$6$Mz4^D7=SR)%Bl-9y7<QE+|k
zdhemC5}3c0y2)Cv48n5OT{lVMKu-|;$~dbGB1f7+js>g0O)Iw6{dSTNde-k!);l6J
zh`*+P_8`LAw#}^1_oYF{CHkH;t_EW%vbIZ!s!-_@?*E5N76OW|BG-Bn6qx58toWk_
z)nE3IRh{J^Sm|T;S_c`LQkN?Ysz|UFeKaAuMji^v2_v(9RQNGxee8HE87?s}jTLGr
z!u46((_wxz_;puA;ac_<kL9pAt(Pc4T<7J*HCIibG*O^{MHAdVVS5uODsW|$dpccL
z3%G~UnWFD%f&GZI#@A;=khm5XCOWAFT6Hy{?A|)C@vYzMqox|Xyjr$k<f{!yU!P*w
z78|GY1a(*5Q-=(Z$ne-oZP;j>u5Sr5fD|#qagTWt*k@KhwW-jC$(4f5fXXc|czyHy
z2Qe}X8yG7HAK9|OMwdD5WfL%A@jZ8qn*vtU2)WHCTCgXx3i?C=T-_X2pW_tZ*9j0+
zd87$XzB8VnsF(o~9OM2iL<LgHj@Wp68gvaPON-0UA;cy~{G|*P(A&X1?w%Al)GA>!
zyhw*yl0fB?KNJW!-(4<Np$<%gUM(d#<{&zAgktPY0iz>zf^VOz05(0~a7f$&?n}3S
zEjvesHKy%_7w>NM<TtrpzdS79PyLCFAVUo}sJ`}+leB#+Ke+Gv%N9@)nA%4CPaXa|
zakm+X5{2^AZH_a(7Enlj6&}y62EjA^IXvO~kg5YFK6(}~bhdczf))`*<<G1&#IwM&
z#+Ted-^^jaDrV15P=-va&mvwAmat%Jp`6I`=HTKkaFLU)2>bM+Gor~gSn?(RpP9eu
zFm*5SW)58*wwX%?Ghh6P+pKEHeLY8q_X{8Ir|*#k5`U_lqrw{gg|u<pe$osgR+_(z
zwo5^kC%&F|k^yZi*!JwBs~ND*mSmsN5r@S#P4$%&W+d%T=T+(fxcl^wjak<=81;Q&
zp3usQ78YQi{9b_l3OO+urGoHV?VBfVL_it#!$Un;7#xo5+91U7!7=`yf-*wvD7c*D
zp-^B7NnBZNEqa`=Tqxffcb*-o$P%IxUYbB$tF~3U2P<&@TJMsIWk;ds-EaQr+3IWY
z<4<PT7$L?&aW%q)9hr*d`!sACfwg~AnVt4;tk3IITL2$Ba`#|0yG%2JO9Lf-Wok>9
z#D{hU*Czy2loFZg>1znCCQ}72|NX@Ly`o=p*$~iYw;s2q3Ij0ESCZ}97{oL+Q<e<p
z+0YNEBc>Z0`p_+F($>~ei}4dLAE4&3p-2@;^}zl5AoZIxbdyqt^SKT4XnV7v#D4$J
z1*Lj$!@rS5#kddmJuv97xr+@2>Iw<UbL&BHK6}Z5@1wXD-6B?KCmTB4eq<>zKo{f#
z9{CqunZ%cTU5x}zup#4gz1WPeI*>28(RJQx9`7pL9X4CYh6s&x3SplPSUe8%x-7Va
zpN|(iMdctMXQemF#ZB5UJWQdtJz2(cn+I*SB@+;LVv~Y1T^q=xpOc-WH9Vu>&e4~q
z?C8|zLR;2)Es$$3UJ*<FjkBply(9{8pt*(Ws5?8gz#?RT;xX|TFR8L|kLTk=%<`U-
zq8~LuKIVzr8~uN{rkQ`Hm<|`p94{J*cGrY{Eo<lZO$^B7@TVTL7;Ypb<fgT>LW5<-
zg^LR-jL2Vp(Dnf%FS5fOUxX*opmc4|+zl!-g1foa3Xk{@ed3*%J%t9{E+O{~FR-A`
zhj!HX)bpc+#<Sx2AGbVl<yo=!2Uhgafw6+SRRA4!&t!YH#qT3GBm+VW2q;qh(+P_y
zK~&(sJEdQP3i-Oc;V-MV@)4SR^deChUAt<@`nQDwr3ubWCl7NXw_t}lji_x%<KEms
z9SaI{3GOy}E69!F=D#q{{1rhL;Qsyi4`k?L%r_I8<v~lF)(>~z7DG8}mH7_dWS}}<
z$i6YdhazTI{k!cYP{$k-7>SVK-v>rDDyIPY{Z~+RRZ9v5kGX#k?$rQsMac{Onu6#?
zpftmRz6??rW60t!*MKgLZZX>cA#|lH+_0A>i-sx;rOI<OAlH;oxA|5Wg%dMh**VFf
zA(jTqriU8vc-rIS)*_VhYt!IknmoD~qA8Trr2$E*=lk@UMN!rvz1N+i3aH9&CwHC<
z8FHR0k2Lv-qn6wq%R1&tNG@qYY%YlmJO}5D0yQPkGriyj@>69byI=KEjRpnooDG}a
zAt;Sp=f{q)l8GpKPIKRlbqa(y$s|7E*^aVl!u8WnRZ(HYhuo+zDkv-5b0|udMF%Mo
zOYKJL=%A^sjEfizb_jWL9DgW>R3o_+6zWI_k$U9(x@cf5a5vlbtvrhCKXLd!6Eb3X
z@4k9@>;I-nw?Ca<P(a_8c1pJvP>^ula#&rF7W6i@neuH{LfRMA9*hN1QPa7N_vsDV
z@HBr{#;rZdNTq#`**FsorG0XFqsOERt&I;_E(NI|-rHXXd;@6c{^n`Lv#xq@<dSIL
zVhRzR5I*^N?;9G@EIe;#*P{=&H*Sep=c=NXNHOiAK^poXawV1Jm?3cNR4RaUHKZK$
z*V?<4hAc844m?>m0+s~VLO7+440Kl(xgu$3iy#9Zq?y3+x}RxvVkG2qNU>Ipk%p4$
zE&r=h#h@=eBfai635|Qk^$P5yB3+ALt+NLJMh7#f@Qs9&9@*Vid`3pYZ=7ZrSj|8=
zG`srs5((M7qEzvRl2Ec#-lNO+%s?{euh*ToBy>1ZWsYZ66)o^PDb{VL!-tTkMdv+8
zC`PV3-qBPA)s!Ar3XY@$bEJ71xn3RRR`<C2dn+Oq4!m`!kq#Qcjl&<N)lkLM_MObh
za%h#|JY`_ZE59f_KCyFL6}76<4*a|=jZ}HH?sUx2!BM4if$=2~#it+Jm+CBrdQ5jD
zc=pp_+rCok11D8bgOEeKae@#^?;xC&EThB2={K5;49dvo)N%Em^Sr2ZHf((96dh{b
zYUw_US47RR*Lg3^vLTZ?rwn#UIy49m?aSa+K%Y5I{1uF1K=touBrN_j1F^@KqS=$=
z(5A<9=^e)vTs7DqsXLm1#R-)`7YSMPr7UGy$ZHChI_m6II}2ba{_SG^F=@p5-ei?4
zZ2(v3<YWkm0Ju+E+R6D?0@c*K;<IqC#v8_mtBr*KBpc>?*%ic46DL7LD-B_~+~4mm
zTVs%YmF;S4?KX72d=t-j)`i`g`>K34z!YA45^1g1g;0J<f61n9ANIg1(O~CY6X-t4
zXe$yYfDG2O_Nd()#Ox$u1`f9ygUhbvbk$>gC|y3vEy?2x#vk;&Q-aMH)?QtH9mCCy
zxc0Q!N|_I0LBTa&5ZwqKMQ}2I;pISJuu#8N*oRdpMXB4y7(!fRq*<p28+y1m*iUD!
z2OF3QK3UXe0A~v-HeK0R&}L7h)2Lr3*7GumeoxW>=F2)_6c!lK)A3b4)Y5{{;&tJl
zpFZTm6r{;8Ac0i7u1iccSfb(gg6qwCVEk9=<59s4JoVTY(V&=gZ0&HCv4D~uJmDd_
zlN^5I<mR(FBE$-u<we<T`>VQ8B`wKxkZ}!vWGixnz|nxa&5G;F&*}i5Rr5<Atl)PK
zMf>g!ZpTA|1^(GO>cA}TLL{HtFZ^bXiE`?x9{j3w&(0?;+AyWMr=W;=3Ey!gCzDBV
z0O$79%#}6PhGOT1@aoA0eC>Vhs=VVc9xPdO;c}(cmS=fPzU5uOjk+2nxKu~+qPFh;
zO37MqobuFN!e<`GcbBAB|NV|DoNT*wy-X8KROjYT&&}btBh_`~`hMUK&ZtgvQ8gi4
zW>;<9i8-A3TH9cvehL?9RP_{iL4%9ii2~AEb9gU}$IPLA7LU^y;Yz@0;NVk{_Skj~
zAB!;?lAD{ydAemByxvnGGP^cz;@KSj#UuUR#`Q&ffodU{<wAwytG|j#w0WGbTqr}1
z{tJJ3#n^%}Oo7_JoZlTv=JCvtwzH4;R`9HUx_QMs6woTVS7K|qfY0rz{r2bgD*k=s
z#JdbLGJH63wS0nc5#Jkb$M%%{H+~aeNLmTi0MpIK>;c1zxXlBGz#5ak_|9_G#rhf&
zSicT(s2EwoKRqA&>T+)rSG#|U#K}SeI?o5W0k&nlY3RVk%uEI}?MCGu+^-Jgs=w#b
z_OIaW&R-Mr|1qKi%{O8l9;g8iU88cPeiaY+H#)-^!;J2F1e6sqs=>F()reTPb(~)|
zrO!r#6@8tUU?+I00!^wPVQPPHaeF;y>R&e0Pr7odu8j!Fd|D?{6gP03Ixtkb%#KnL
zrVkloMDX?wkvVPu51--|A-l_PAziUv&V?!!c$phP$^62Ax*jFkH(umH;+}V%Lyc6x
zADJKXqB0@Iu&DLl1b!59+dkk<voaifHz7D!z>Ma?HquJ`1rT*T<Bq<oGJIO`i(4>Z
zMf!eM;&*QdA}1>)%RmNYI2_i|JGIG%q=sZDU&@5hla<=z1&_D<@sPxG`zdxbX4&{(
zSgZ*0?3UQ)>#GDuZWf$bX5&JY8%$n~*TfLh?EsB>BPB2?{km`PAP?I2?m%Q-jRY#I
zl^5EOQi6|in|rMX`4Ibp=$fyrG@1$AnKvq=1kG{U#}4ilK$vz?Zfezb<Xj~^UaO!4
zrl)1p@eV;08x%T@%;nG#EBnvq_bI{Yh!*L4=Y-LlmZBpe&GIPT#3?-Xt`Y<(Fs+K4
zh@c~)Vp!)%MPyfJyFwIFh6}&{*~pQ^&_Byq^D~Odi08qd_XnOSLxo4T`(ASibpH6;
zJq&+UkmUZ8Y_)MJP?8aDToomSyfxHW$EQ?LK#EgB-)$nK{YgAhJ|lxZnD)8$&Z#3C
zX$hlyKUKl@)rBErB#XQ)J$!-~$!H~yk>^ybI_z=Wdyqj|9+l3Yqt9?r(VG-kyKCn)
z;H%`Dep-S8V%#hZyDdaRu1Xel#kCY*W!>l8LQp~>f8)=p@oS>DT|2Fr^=L3pZY2BM
zP)4Jx96s)An&=G8VCf022@^TR=ZwUO=t1^PifgSFswghg`g&0tUUaf?SKn7fMZ*4#
z3$EIz{r2-;tH*U=S;*kyD@k?KX63VL*`STi+{&pXhU$Z99gAN`I0@}a7>WBZrj0h{
zI(6Eg7y>S3A@&c~*vjRLhUDkkXfS)k-D2Gs^o?@xybdx-o1gY6Bx|F!a*Ht;a}2m{
z+AjBPamhI$oBWbJT8Mk+1r5$O0EutKzGjF~(fD-&&xU{|^056oh&7nO6-|3SvMv<`
zQ{Ow9U!@|&Z1JUMkLZATGlXs<Qqh-5O&6>48t6@LnURODIdo)g$lCN%kap(xzdVtu
zh%x@){+fU0prPdTxtN=Ry1s26#$1)qHF?TEM>h+wXDTeVn$bY7juI4E_2tmJpJvH=
zH!Yx!|8ZP(3<*&tpRhUmOCWRpsI=2t^Izk6XKlZ!AqwiQlV;iCO})_6D<>>KI>hMK
zSAJDAlEE@mSiz1S$zRBdmb8HD9h^n2+f@)H%gWz^@*B_Xv|LwwVGao!#AB;cN=P=`
zH}Alie*FHryZ@kxIfSa!uJUYCKwXcm*Dm*d!*-p`fA98+4!5#o4*wODL)~BZ>(;BR
zU|D74EL$=ii2nW!UYHEJoT$qFa_JxDR(bCVcdi)(^7~!Hq9ss<)xJe?HZwGjzdYV6
zYzC~&u~p|bMNo`yI~GS}gEKprvL+G$IwqK-5}pa6EY%8Y?MVXoUdb}gB>?PG*iaBG
z;YUt6LzO>P+2Mq|=+Q(0479wKp4%fXWM}1NSsKX!PCdH2t+t!O`Zscd&?7dq$2N2|
zs*D5v35A|LrEdZcFdO=mAQOtIxn@|A#sSUts4d0C7$oXScvA-d;O#Neo67baVBYvl
zMK-|*mP5#l$4>vk`C|#zv~_l{n%$T>TyF?|@AliXU7f-QqJ?{8Z?l6S`O@o17DM=j
zVkM544B^;gO`S!3cF5~eQkt?cfTsc{O;;!C@r^*T^TY%JbeK;L%-z+8`wdk&60|xj
z;_dW9zET3jo!drWTGfMdSEZ@e)PAhs&>VVml>kP%!a79<^}t)`AgsO{!~O>V0RR6C
zmv=bTZ5YSxz4y*u=inU2%;9%iNoGruT||k{5G6!IwusCokzPq;<UB@586jI{Mk1M+
zz5c!bxUc)Vp6mPlJRf=yg@(CsMtFQ6yD_Lz3j%y&KT0;wVNr_%H{&xI;hk@KrnH<E
zyl#m4b&3BE7Iy8C%V<9%80UFja!b(!3)=6W_cN_vqjsFMiF!<sOt))9&8i6rK8;D9
zpVlzex8?e~bxd$u;BWO{lm;MA-=EuOHZb4APeqRVGlNfRfm|=W2GED!oZy?<!tQm5
zSiCV~f%~im0Y9Qi5b)5Uc;0Rodv9<=UDJ#eRs+*N((;pl)`N(@<w^x=RpBvW{%nx$
z_Q-VqGj;F@Ws=HBrG~VBZ8usP*+FVm;9#bXI^Y+Id&j@hK(e{s^Dc8v7<McBcCeEO
zCe-(<j0ET)M)jC2O(+-SpAro}?@xr*G^e)#XX#<EhdH;zj~mSFUM1=a5TUT!?JV6V
z2B^1G&=U*cfp!Lg2*z3h{B>M+^D$roqV5;}>yLRsDNm|PI)DJYRmL66pP9kpcv*+y
zBp)1|v?XmT5#ZlD?<e>GRyh2x!TFwv0Gvt|SjBa!K}3id64qvi8KX6Gt_DFMtE$cO
zyQ;yTvify4aZcbqx^qqSj4;pyD^tt-Qw7Uc$3!xdxqu<(xr2$kDEtejO5Z6~g$Q7&
zc6r4O5hsta#<7Zn$v?xA2Uk@gGB!NWet-u`afLg~{QIEr9pOLe<EkK+GRLzm!3Xnl
zbV08kOF~S2b~?#Y7218;m|ukOgIJ{vm&Io(s3~)lFK|(X?BK$==syB*|G20PFQW`}
zeWnYoOHu_N(-&;{;X)96gU=H?CJPm(Zd~D>RfPv1GqPUeMPS^RrQP?99Joqf4-NHH
z1OM*W>e(exh>LUo6)L6xM(GB$8H@zT;t%8A*DVh28*!Iik`#gKt?KvYKmr6T$@h4-
z?}OwR;`vDqWvEWcYTVc$z~c3C>$`s>;f|qkPFf5O-lkp>J(x*^dETo5I0k9(?-@@>
zp;H0*(s`X^M|FtvDJ8#<kpbqe2-mZ|s&FVW<Cra(1Pi4eG&W|kP$J%1M~~FNrCK-M
zmaGBJVRSw3F35pc{yn?3D+J)aSc7gjYJyC|q+)84JRD}~RVrR30H4K`*2D}gSSnQf
z(pjtk0)a{Q0*@0xR|H3HU(<&7=F{C_b&4>qFH02`PXrq^)0GBqT`<a>ZlbSMf}<)7
zh0$3=C}`AcRa)2&k1|jCT0U0>yAPo!Y=Vh!F<)kKID`zZ2@c8JUO1pWdiXA0nh3e4
zr7a|w4ItnUJUc*xhp%58?vy1H;1z3Y)>1SE9%|?LBQM~gqmg~#aIP8*2+t<X1_Ou`
zFY1Lq!^8E;R!4HV3ZzUmAJgAw2>&ILI3l0oK{fZ9?eaAoEY1^(Jc<nAk|!T~r57IF
zRM?d7Y$`&pk*>&5DI>U+?X7!Z1qTNN+_dy;<>6-jFL(1GBiL{~5W;4T1O5lKAB7TS
zp!ybvIL8|!_^Z@*k^a0gG?hhozvz|(jN+j+_t^+8Ufw9b<f;Vf_6;GgUBuw57XP_B
zEk-b2f3l{Wpa^th&E+;;f)Kpot(yIx5rlB?JXx5K2glIy#EfAcDEqnK^gPrEB;REd
zZbZm|e37<v&trB7y|3Err)LC_V?)yq`DB5Cyp^<=!T{p&^d9}QhH%rldFRJtX=rJk
z=wf(81xET)7o%bg;Y3zCwLVb_+MM)XUoc<C)LvfddZT0rjh0I=pRf-!Jqt|56Be-E
z-_3&iY5{b$l@zM`#GqNz$c&k09GeLH5XWo>U~e@w;$|oUSxxU`=XX1>&FPkHr)~`P
zeNU)z>=1;-lscEc4KJ}HV)VZ6cMRaw`Os>Yd;G9lBy#gw#CwYPAt}WjB?BNld(<80
z%L@$}r?1lFHc_PI(uRB-^x>9;pduxV8>)zdkKePjQsn;5vVDywLzkWVoX<^8Ag{9*
zR=jJaoI9oe=uwLvXq?Du{&I{B4t~h?Hh9@W(Tif1*<#Uy+rFI1#-Yp*aQ3h0Ze0U~
z(SS*6!*)MtgxKw*tTTXS^pohv0Tq;(+CK8lOkGfG{wTFpMF$NkH+nYzrcqoJOk&Q?
z>j0@{UdE)62I8i>?_F|vjmg~9jJRd21HVby1S4*05GV=P8t19UqNBn3ake(x->HZU
zR{Mwj%HNWZ<7&s22r5V7ceQ|yI?vbs<u>*QlL<{N{)RR7XlP5E)`EMRyLPd+H?gJ0
z54J7KgV^IEEu7L{G~rXieF^27zt}nxMKDfw45LkG>I=}-1l1yg%WG!qSk(fv+grOy
zEO=@)^;dxgh(6CWxgoZO9no;JUr(6Et{pf@_LI~AOJd0}9?ey3<MqA4#&16{nmYNw
z@989{F>dMYyuX6&@O0YHDlK5y!Pf3lf+T1^bKm%h=n6I?5$Q0}w1{OKate}8Q-_Mw
z8#%J0%UE&xZ$x`{2}{v?XwojG4jZ%Oy5--Nv2P3{9yj|HEbsL{ccJG*h!c&D@Y-0$
zhI;M_HIdga>igoMe+Wb<|GD$x_rVp+3$I3T(EW=IT(I#vj0ixU@^N`qw}PF1K;52r
zWD|?wRkv0@N`PDYFC4n+v5J+hvMQ^`ZevpA;f%6fYLH}z@y!v|Fsm=Tb4M3;F*cnS
zLz4_@a8B$;Du>)UHY0xTcgY7TsPTIyR%)mUB~KkVf{gxR(#^s1!s0Z0IUTfrc}oSR
zchr3iqc<=P;{d&@X|!M)f5>^}3m&Y^&-BypZepoqhaq7SJ=mnW=|2_6Lj>~$;%Lq`
z#zMs{6tl<xD|hWbh+V-!gs=OHa{;?p{zTH&!)_)h6v?wJ>`{gl`M@L>G8LE}ZMtGH
z!2&V%M{ZSP$`D|rtwTOV4f(a&|7}UKL$276b^jYB5PPB9)&GzNI@B-Fm?d#STgBt?
z0u?2&zhN<RcZC+5tEg|YNN@uokU5&FR1x-F556-LNDpyaq?u2NJn)d|c1Vw@BDB0P
za48UC1h&RImxUDgAT}Z3v(uyk5ME|aGfy$WT@TOajidY!ZM*V_K2ZTIg>Fe68DRmX
zdmC+~wSquXTmLZ1N&y^y+}Gx3Vh0Jfkvk1vgn=NC*)=Pw0GDNOy258Tfl7h9xSmc7
zW-Qvra(3lG&MwE{#TFNs)q2_6_(;IXsXUsfzw!|DAJ_JPI}ZeOI4bo-NJ4@#{p<>x
z0{GyLCl}4~f+kI#ulcMLoZfk5(}yX5pe{L$D~TWCUOY5g^_BsbmkB~8DGI=H?C`^O
zCqY<ZSZ%1FlLM)|G{%>_iZD4i`rhAK817UZ;V*hG5ByitE$>ql;nyx9kJm#K_=D7Q
z`fn*h^3%5)O*u*smeK2`{X`u41itDnx+?>_xitA?l`<Ttsq|=|k%YQI{<+__c);(j
zcccmL@q=7||9n6Sl1}S0H62g|b~~NTwOSQ$mRr)KWJp6(?(;{%;slTpdX;v+N)1}?
z8h<nYCj*td=d821h(O6A_K_Kg&?l``w!6pQXUo0Tq*WqFKcLb{*yFfB#Nb)gz5btg
zz$vd*r@qH;!qwO@5}+0G`&xTN7_i`4(7Qkar*~9>><=^{(OV~3zDWsQUt)HUo!iTE
zhQQC07qvm4>{pMy91cVcdZR)K8ZaTD&-&6&7Zl%(Y;k+z;fY<2M2@-!ga>p6*51*B
z_O|@nig#3CiuR9J(+mmNqs`sc3-m#DIcT5EB~{RBwfT0ziUjpsIJ&H63@+hJ3N~fc
zAaPOfvyY29aG;}|J5vB@AL?7S;?;nebnIcz9>*K%hQ_A4455nycciFD4Ma=?!d;Ej
z_WCpi$MnPq+#>j2r(aV8a|gRieP40V9b5R{qPa07pM165x1<VJ-8Uaw2`NI!g@m!Y
zjm97(+L>V}rV9S@;%Wu@vcR6<@hFDh1d^s6<!Ef<L7<Oy_lmb9tjKa^WNVwi!)8xE
zj!YapI2(%73>Aj%pOTN))J&i((BSAXMrAnJ`Ls=-j0av*yAkVXP2dU9*Q553B3QQB
zb!nI~1AYA#=3HS6?p@yx*agbNsK_<yG4CC$sV_Aw@x<PpVONgbjg^I@TFajxKaDx~
zF&v+oG=hPH)TAfRq@g-73Hy1onX+}afUJ4e2+lfi(Kyygf@Bo&vG}EV%5~=TcJ~QG
zFf%E&v>g_Q{l*blSF6`4+c<0cLr#Xks3&;*go_Bgo&PM^7`RK(t(W8d)C;ilPQ;;z
zR}c)_?Xui+sF7^kZLi^D09_-SEz(qcP{JYpRhCSPdOk;nWEW!4b~$Q#T7etJ+b0ec
z>(ZgqVrqPE%M9QT$z_&ah#g-3Dyc83rbE*ivw69n^?@yK^IX&kCOBiR{v~aa4$TjB
zxP<>CL$EGeu@ws)1j+afjDDs=4+6TS`FP1-8g)tgiZT_vWw2PXyi12jcT*F`P4wXK
z?Q^#h+%~ZL>{ayPI64$BYbxb<b3eTJbf-5+c^R{;bYqCGr$s{?Ay;N<bzyh1TP0Y3
z4vXLsT8%nIiv)ut_?B69fyGk5@4UkpCa`l<X?=?Z84dTTEjj8yY)k>ZhW9I0Op&AU
zEu=wuXNDEdm1;vixmdEsB?a4jzWcV%mj<as)=?I?wLwGuaJTO5Pn3=D5chF&8sug{
zy(@iL3xvORTE7hFr}#a&9*JQzDCYW-$@^hVIH|yOZ}sXp#kzQKY2KCwEe)%1U$D@G
zk$Z4XsC=68uqRpiTo?^%jmdbzTB8BvY`y$|xL=fQDL00}HX8Ka7OK27HDKVGdH=$_
zMN01-)h$hZT10!~RgC)^5*)<`=T#LgQFe|5Q8|90MQ>85$3}=G5a4p~oUB@*C<M-(
zAl{%uiJSYP+RN0T=L6nsqk4_<tXVj`*p?ohNjkBr0P1k>o8{84_kSr)m2s{cW(;WF
zh|_Yql?Y=2PkV9Yo0K0@UiwaF7!l(cJAYnRBB&sH%eOV#6ifLIaj!fkG!)(yUAabp
zQH~ip#hzV?U}4?NG!F|hX^MZfoJfFYwxcbp;Z!I;LMrJ`J}YY6x%Op*NPvAUR;PsW
zs1YBA0w>S2qe}AZ`tiM-4?R$3yfaLLK1K$0o_FR%(kiF>M5)z))6Ol=Opy*<qkJV%
zYPpbP3c8)M=U?mrV+8kTdL-(%zfI*gH>%krCntPTfs!C?m1zb>WWf4&!$_AG&C~46
zHef2?<F7KYlFNi*z5gr^J?29{`WVU$>hX~FjXYm@iUo<(Op7ln3m~(Q1WD3yJj_??
zO@-`dLo$+91~+;H(XCPGLGE=NSe%Kih}mneUOyFv$QQzBaFQuLwg3kvKBvO-b+}L;
zef8jCrYMRkv|N7XkAvVvu~A_!ZuD(<yCkwo9C`k}>ha1N2bmTR%B_ldP;07i!vM7;
zntH^Pal&NJGY&`T{Nmw5-W!zPMtV}n{~T{y-Ekb8Q@KjIoyd>ANZf8zjFv{$vO$-F
zZ{xuD$8bobiXeLRi-X>5K?Y4$bE}38;6P5jMxJLz2wiURIA7x_hi?4#Upi!m2mc$#
zYpLo)5QG2Qu<1YYsLhQmf_CvxZ91L*yh;oSxO`w1k5xnzs)iA%eiir^d~W!^ZV8k^
zgEtS;P(}jc!{>khRE1}1{}{KTB$16n*rSSZ9J*CAIngIZfIqzwZ?gZBLh9U~IV%%X
zP|*eZv-Up-;LU8Re&dHU8ptZS5~ZnzZp_hkntmn17xBv#jB>IlrtR}P#?u7!wyky2
zeq0@<I)~aD&&i>K_APapB1B}<C!XmntO33G46|5?JkmM*>kV}!5d{RP7xZ7&gd0ME
z%0E^WP;OY9#6KN%RPI!*nYF3~yGcGz_|=rqA02T&=6H3~@VF)R!UG+!43B-HVW*5v
zHw;8|yj4e`8&{*tE%rmHbI;N5?l@$bdFA5Y9CdWK74Ze~kU`SPz)jy0kE)Gv7V}o>
zsQo#m!*p05a{FAahcm07tzUH#6?^vx9j@kE%f?{c*QWAfk_xh-=IDDrML?;;W#Q@1
z02Y5UXfuwgAekK<3*J|1sQ6M*OQ)wHELdqj<(XGOYz~qqM5R<vLt#ro3a1fli8o=T
zWh&_8?aX@%M#|`7#ckE7bR%#o8v0R6RzdGRPr5YV6_DLZ3jI2jF=&1tPs$9(qZay?
zBU;-s$SWrdBbyilo%6k0ccXErvD0jSYMUeq8$Z!pc-k0D=iZKdbXG=nK^ckT*F}-#
zLd?tsH)Du@<9G=emCzLJbxHSnew3AKaZS+B7`P7<J{gErK>7K8U7HD9DAFD7D>E8{
z?ws4*hHW{t|76O+=4D1i=wEA3es2W9d=op9PO_-v@6bIi4k}c0(RV@H!3e@eb5>j{
zrBUwR9creLCCaTXqu9(vLpb1JuzWy73d!9}FL^0BN~!6pW`1*Xk82;q{!}yVLxhfD
z{O^cdEZ%_TVJV9t{Iz3vqp~fEytzm>hl7T&v$}%yqz3>Wy#^b^1%;7)TQ-T808&7$
zzhMSDl>d%dKmy<u*__$YMF7dAsD9{OSiqJSV>!K#Vz7PsqeDU;FDm5VpGd6!gS~5}
zj+*f^0Pa(w1+kIbNGzxQ(g6E1HsO8O7$xaLLP-;~WfKQd6_>Snm$Qt?S{zFbt0u$H
zzcaq8vn*(BAYQ_HZ$1^D?t5xp58~w>7DiuSL<%GQ%~k5l*z-R*mBw;<;I;qMYgH>c
z^m1plH|*LH_QQ)rO@C%TDBnBeA$f}$C5ITD(T@FteTkwjIrdT);=Z4IrNFaGd6RYB
z!#ZLSb7sLye_zpouMTgVmWwwiuTytX+}8zcDd7IKLkDyqW%A5<-*2lFp7fuJ-RZwD
z-XY0HrdirxL#O2bIADq5sYX5D;rA0uvRfSq+t|yCWU{sN-vtW85yPHQ*BOlc>T$19
z2QB#Co~+pQd6x3JiO&A`l__jMJK#(X(gb|7;3VnL56VJI#Ex~@B=&mLwwDp72_M>u
zTAQ86D3w;M`!35)V2>0<Xe!e+ATB16K5>4KqDiGgjISHRJa5$%-eJ>#s+FR75={?<
z#s8u{ZQ>|aX;A5Ec8dhE<1TUWLmd<%>JSQ+7{QD-Dyq76)Is>D1^TbHnc{Sqv63ce
z7#kb;gjlYt!<T$p-;=)(C0e=nx+`u76VUarZrve5X-L|3xNs@O$3wPgNn;RuZgk@L
zZp5B%I;+rC4(3p}lDWm069=%g3KoV)Rw5i*yl_r7|27tY{!5i64`5$fIo(Vi65zuF
z9<f%gml#`!x}F$m0MjT0Aw_utu-z!VW$N$_E4%n>{8-=sX2(8~LA<C2?xj5e@gW~D
z-XNP(O`8K))a!_wG>=pv?r*05^8Gq2hw!sPym=7IFtf9Jw8yWdpJ5aYTq9Or)LBLu
z7{V?cZVv3+>*qslnr0eBpD-GY<mbcc-!YX7YqL?hc(7PC_{uEZib*-Vb-MO-1j`*!
z3`x9(1BFfZ`=*v1SlmxlKJB4V%#8P7N>`0Ch)~@!J;d3GiIwJCkXOerv*{>1JhL+J
zTD!Tu812H|*TskBXii{s!W)ln*egL|`AW*0#&4Kpmw8T6&LrlV;=x<^N)f2Ezj-}x
z>cxzE7Wqk9Q&<G$hsPs&McDR{Uw=Q_kEvGpypGtO#!OkBog|%BfQi0>+j^uS?Ebg&
zB{$Y)u|LO8aJqh!hq{Yzu-66OF~?lv$SlQQm_y{pgY0;D;9gHI_bnX7x?fCn?LJ(<
zX6!WUlpo5$(+H8?>-)yBpY>vgw4X0xk6eNu7c$6!Y`@WS`*#yqah|O=S!N02q{sie
z9V`n&=%0+7{}1d;BujJkr)BKz_N(~!OESP|Hj?jrVj6ou-#XZvxr*&Nt_2wS$$*?r
z@Y;;eEaqw(A*=Lw9b33rL{eIm2E!~`35oJKEG_faMAzU3R_3z$FZ8lBRGvC)^<8fP
zGsLy8#vj?n`h=<#PyLgEt(@Uw9bt=@<iCYa<*fg(C>-bdXsi_Ymg~K&V_d?92&Z4;
z7^y){&fzCWNx=mzU+dDcWh_u9i$&rM4O}Yszfx5p3E4Y$nzs^HF~`*OESkG?(CNtF
z^z4KrIGjG#=AONd1@TPSJW5~y13iN~t!w*WZ1C_a;@AeJD`RkeUk4NTwW^-tv)Bid
zg-o1!uG`pky%#K2maM>_7s2gcBmp6hDmJI3{$UGjX__9a9B^?zp5gvJ33&Ojx#h6{
zHPjw!cNB@{f_Gzc?Y>XNK}gC}g7zZ~DF0EcX4d8bx<mNXr+VTrCAt`AlS>C&w^d5~
zxcFeZsPvJ^oESv*zsnUbVt~T#%<-!t0-$Sf`@z04G0?H{C7)Sj0{!13b)hGPfM@m7
z#lBoI$mbU1y5`3UVmt;?yI)0sI%3~%o;PA3|JK)sg}?!#30C@kcg3MMAm04Rycmd!
zbT~0*azXZV$+>utgvj=Vv>In|;0qCp9y`DTc@11P>myRo^3A5*fI|X4&F=ISi}Ha3
zS-|4oQyJLePW{}?xDP6^$I>z40$@7n+?Nq62L;RlVNdarz{~SH*3L!<o*j(0?aNdE
zqXS{0w#-tHy%m_9@Kyxe{wTHtbSMFX`Rb&sj5IjAdie@iio?(k;YepWJdm)M*Eb_&
zpytP!{z*1T@VH*qk4ser-1QjAIvqK1#r?M8iIV~<!5)2lECE=3j=$QmP=NdyV;ToV
z8L0C-n9$rw1f#)=$f-pM7*|^a_4{Svq0i=22rmhg7M$bsD0oO{vE|6kln13J{EcQN
z8t`1C;Krmd0c?$Ro&9|j!Fg2s!p#$!@Yr5x_L+b>kkzorlb{UO9~LOAlC{9$yM$ff
zaSd>vihmi!j)(If*XGj3wcw)X*=tX~YC&Beht1PQ6^IHzjxRN};q>nx1M=az5G1fm
zCGV&PzVek<qhz(=M15^~{ZTS>2waZ8;!FU#;-zKA$9r5EIy$qZjzKmmRw|eyK*UdN
zW67tQaM?-1_6D^fe8qUwk601G{a}}dJWc~v4E_r|dBg~Wy64qgt`i|vRYTp>SRIrF
zx5}cg8^iU!paY|UL{KWRZyVfIgJln1WxoIuaOBRME+7)YSx$0PcwHHs%Y<-3%BFC%
zBIEMgG6G2CKty=49Ne4hu#L|)g=Fey$<&Ml5SFn*;TI&qXJ9|4QHLpL_IGVY98ra_
z{W%O7T>_xEbn<d|gDFHD{YA%TiH9?PYX9Cj%nG(Y9iJbFGzHq*xpN!r%CKnhyX@`h
zHB3MypE+H`6joF6+`9`EV5auksBw1}1!4-%Zzh?*dw+Tf<-PYmb)Na$JBKZboi*!U
znZL#W;9BZfFAY?z8a!k77?4ZHoSXJhV<5G&db6LBgds>vHM3?%vZfv%+zXAMgXSjf
z7hW+4(64AbD8r3p9h|bi(;ERedWN0)PY`sKIzsivc#xe$-<;guKl4h}s*+?fFEF1-
z&m=SQA*(9;VDmNr(bDPswR@b9J5WG7UCxI>O#*GrvAs1cX5A;^nBZn!ya<__ADxY?
z)%y~F!4+GzI8AjL*zBu)?~CV0?>!fIJ_Q*-(<Y<(q0zsXQ=q@0v;;rG`OW2o$LoVp
z^t{TC-Cx-GizN@I*7#7phs^i9cVx((ab1)y?Z)`(4z_--=R+=Am-G5(_28MWa$~9g
zCrT+x=JHw`AL_vKrXXcKSZF%Abm{mH%Hb;A4xB3=qAR8N$zI(LfqJ@jM7KYbA{+iy
zQ++;!JH_F+(y9yZa+jVCd#_WfSH&80l=;w$M4oMPRb9A#P%u+sXq)0xpDyQx<3j;<
z%@bY^b>MYq_9E9b71BsbiJCFwL#-m-Ow~*}AjbIJ+(DTZaW1n3eDLE#3k=3)o#EP0
zHLu5>YDkY<*K~7e%l5povA@EBMjM7R7*vZj8TY)x@kj_iKN4~P6RBt|pxC}A_H!^J
zg8YH9r*Ztq|6Y9>tFRW32V~#JcC#SQaxKqxDFI}}#Qa&{KTUWoHuNMnmJK;IYUq&K
z1<(oh+N;McHKE=kGVQ>ghwl8_;9pGL^HUrCYYU4SP|z<oF15soI^6@pg{}!93A_D5
zVp$sSCEj>ezMBgb1m<a#Toy+7iIzOvVGVd8)o{D?EjQ}dCFqpKh#<KoTfZCZ8t}vX
zAy<1k57MYUbcwn~6iIOev_^K4AhPK9=CQlH$aLs|pewUDN)GxQ(40$xSb>|}zr*-Y
zRcvVd1z!o|bb~W_JctC{Hpk2PqWBTj#z9j2uYJg~pJp=b6bX*joZ_TS6+l8MZVi65
zlIT~0{r)rNBw*bo$JCYzBB#}hJZx!FNO?*0zKbyl_IFeY3y%vS#o;z7@-=Bh{r(xd
z-60aV30Bv}N{AqqC{JSdX&K~yHBVK?g#?lng<i+ciK61$Y*kivvWU8gdviB}1obWU
z-j*N5(9fj4ljYWO=zjnJ0RR6Cmv=Z7d=$s+z4u<1Yma-~YjclXDD7k?l8lU~6lG>p
zN)$y#8L1?t^xl)G5K+l!k}{K!5%K!>`~3bm&+mE8`FuZ7k_-jq4f-(I{6&9EM-E-H
zN1DqVh<F>6Vii{OVe7<QbF~V2ytebqw7k742AtnKw0%1TR#SRLnlC8ex?133A*f+j
zR~c=kkpfGuan)gNikL9{y?mCej$KIvdNq{_yNSgi|EVb9&5kS%S4j<gd@3xjx`hfZ
zMF!eGe=A|zpkw#3X$>S(qE|-_8bI=e4_m)IAs|~Oi&c1yCOWxYDD99ognEUacEq#F
zxNhpZOKgi4MjrL_wi({Y4gBtYc2Gfg=Y}`D?OMnkI%<>s&<Jb|wkr>@5>dpsf1N0+
zjkRT=B8G*=p!=!z`IGvM{9KV*4QM0prg9I?G!u|@Y4GUVsfq`^AI?74)y7+*Jh@V_
zrr>|y^hewmRZMTZV>9+c3oYEL7y2X2K;l)~s_HH^Z18^fO~Y3UE7L31bq|`uQoD<1
zWUU&`=fp9T-_S%uuTb_TXAAhjv!yFxQVkayDsl_&X<$nK&HLP%H29snXON9k9gnJ>
zCtt`=$2V67wI*h1pn0X}WH_rj`bs;ks2i){_`Sf$-P-}yp0E^4d{sl|Uvlg(pAyl1
z^2sH`D*)r09UV*x)bP{_Q?Qnv3Vz7YI#JsT@ako#Iu}_DD^KwMdY47OiE|d|U)KS;
z?{P>M*QlbrbiifLF-0t&3AvLYX$iY?rkg%<tD;Q7nWYIk1-u<RDa1^$goPK~^;>ol
zktk{%M)j9PS*5_^!m^fdq$c{{RI&;d6zyBs5hR6zXWahGaaaPatY9l+wK4{^--+H|
zDUN0j@{<T-0IV%hQWMVzD3bVAS6NjQ4~r!8IyC`^=vOTM>Q%z7utNtpCWY`z$IFMr
zvjE2xj#emrSHxJFfJx+{0P4<;xA{5%JfrBgoBmP29)&oz*nB>e3zV8GVh2bdrOc#p
zDxlbKPmfC%Hy)eqA51wz1OCcg<8L?1Vf&ZeL#rvASgIm>+icPTZu0r&h2_fN++P8$
zum7<lQT^C_@^%Xl(IWT#Hz$RA&V}VT`LW^eKvJvOeRDY6;rZ@nup}B4U*9Gf#)`JW
zJSktq&B2&(sc8$d1csOBdz<yKpw{Gjzlvxxa6jHqDbgT@H@^wrqh_+;XgBLz%4bv1
zS~p03kt~X;*QR;)rLy3T7wLaC+n54V)VkxXND-8>CVpLMX2F!>1(|U*Cg8iv_dsd9
zFb;>0FJ+KfQJ1W^r$XEWcK?`ipxzQfN>|?2D?O}e>3wC3XtFVM9}r=xn-@gM5{ZiL
z%WN1qxFt?v$q4+7fBd#^5ya2hn}@%pvZHU;diGSX5ri}@Sd6_FK*L#rQ1TTH3_bBf
zwRO}GN+x>G*B%kTWYzmQPMw^XF|<<I?PmyDj3V*p6$Mb`E^VwpmK#lDt7J{b44`Ug
zOM+=1KW4n_yPllRgX3q{3-yi|K)_Dp_ICyRNbXQ-Z5QLiQfCg2FMp{(T)2bVQu(n|
zv&rQqoga0tHiVu?r^4QDV=n75etar*Iydl{0IC`9@G?-O0uKD~JU-5k3twGcJZum|
zi5pSZcQsMq`vd#VRZRihb!1jD?2!-_ePxxF_Mm`%agJ~DF#%-Ln-B_kEsTP7jwyr8
z6evF;L6Pbcz~=H(r_vWh@GAcej$e25L6Q)EI?q86^P`ewy7k2Hf{4+Lr@s2o>n@!=
z-y?{|O)+%RX>oiN#J12TuMf%^?nAc0LU`|}mtN_x1a7xZx}7~th5-?~_&YMfc+<SJ
zmdRZTTl0SHs<}mm#}V`4hrbG=#x03J?kQ<3tlatVRU8?5qLi5GABv#q<A7|NTv>eV
z@!h4)iwxR+2|v5bMN#7N;?AGj<?->S<zUJtGVDy1kYTtfh8A}i`e$=D_B6U66wJuL
zG$7IxMi<Alio@48rzxU;{gaV_jeIzvFvE080=4chsq9Zz!uI`^LXwVT@SjVObJUSS
z?--{|mU#r!Zya_|J46P~OBF-Alce$Z=**EbmC9I^K44F~NQNoS+_C2~GRSqCKBx0c
z1!e6&N))~&!-0EqN2-p<;cK?nvdv$K*x1!0d_q|t<OwVFjtmOO_P9rqVO<sb*@CI-
zDf)1$)cjRP_r{(Ui9DH>RL9UCf1@Z&6cCHA&0)W(i1s@Q=r6Q1P;u;2=l2}S#yyWb
zvm;RnJ5wSn|By7X^sM)nj19i@95q+Dbbx>sU$<|PC1|1G_dQFb87dSh#CbSdD`QO8
zaJ%8M77C4B%XUNqaLg6yJ)@w4rulY<pVnyO`9PjCMP-K2xl{50eNhGN$<n#&R2>XM
zS)%k6BhZ67Zo^h0{%~*2@ygV};ndf0-NnYhV)9Ifo~VlNR010(t95Wz@vmCnT@(1e
zO>%URq=vU09OZk`b&zzP_qSV{DO}iA`#9{S8Va^}J5Q?V;G%g@MB|VdWIpE1{A{g`
zx<2v8?BldifI9N1a^4)GV<n6>7pr4)-i`Fki&|K6Upgsk#R6y#yXTz;)lu8`<y-Rr
zP2}Jn8tV8(gRZB1PVT=p{xSG>ay^p<J{{OulII6-HzITD%_ntiaT<O%c~}iCZpHAc
zv;ZVpT^ys9t7D)29kI0<B4!UCXFnon35OVmgs67v7(Sf89MP+cmr@1_Sez{3RNbmt
zRkIpK$@eivY;c>!OCrW7!V*p_MU9@3Rl_zu&GPTOipU#znoItyC47($$<1_C#g1oX
z1wp}bc<-C*uTv?Ou-{Gm^qyEEdYl{id0<KkLq2T#d-J#@G?5>ez0XuZYp3(&78|_i
z5^nqMx6cx!zt4o3Who=Awc0`EjtDxoxCS+9S;8dMwYV;kfCn>JHSco>q3f3+|JHc`
z-L;y3YEeq~m+@oXp<sSgX>CoYxVOPOucm2je?{zj*YxJXQEqJemY3!l2yoT;J*me{
z0T(t`RQ{*Pf$q9j$7*E(8fd#_m2b=8m4(#V3xTY-UeenboKFLeM-gZ1AIV@-Gq)v^
z9WyFs{-NZ|Siq-W-+UK7OQEs+VSmq3MvO?S&t9^%fNKXM8YAQ-@lI;+oq$LNtf{}4
z9eCLsZZ3;>*TsrsTR`1KIrnvXckb_Yr(b3e^4N{Cb4?Tnr*x}FPOs7BS66aw*_r|8
zc1I!oYa*D;lQEEQzDBomSbgbs)fCdkILtHl3nR&QM$T#DeWqjD(_hObAeDDMS<F@l
zvwfF~he_-7pVJCn{VpcpT;3_GvRM%I_FPWSQer@bqtRi0kB#BY(^IZbg9NZA<idle
zy$qP(#G>D=Xbd^?MInhE{3sWeP$PSb5pxdeNm*qWL2_2jdz9uwo!$H51In22wYh=e
z;9o;XOwEhW668f|8M<`BLuNE_+T(RM*bs`H#$Vf*@nG`sIX=r#7Hm1=?)PcL0ERwr
z^6x0%#^@L|zumfQm~~-qL4>yfoFg!Nb|P}4-1%x1at=F2?y7v6_LT}39yhx(4sqdZ
z*#m_cPEK^s-1NZAj|z#G>t98`;KGRYNJFC{E=+i0@Z!ca1-2Y=-OJU_g+2s+UR_5X
zTu!#0|8<H2gU-taj)L6Szr$m~N0bjw>_4Of0u;EW7BH_I&W*3Pq#u9$j~`E7vCrwa
zsSov!XT~~~xv|}iFNDf0h@74Ax4Z20p)Q872XF9TGnZG-F9{+1_1{s>a}yhPmE|$K
zI?0O%lKn#6EQL{dSSI)21v2bg_EKYr;=?aVv%~LWMDXaz!=ZO=$lzi~E~(Aq$Dnr+
zQ!ihO;(^b!ci&b>pe}FhrN6=7!`iYZE*XjAK#?qa{38+w$PDK$5C!oV&)8yNqXbs{
zV9ZjEBf-w9l}^byK@2QCbVhoY6xO?w{i3&#Kzt;@PW7D-+W!8ftj#Hdv&#J@j_M@%
zeB%+NzFio_ng?6%49McN_j1|^9uhnb>|@{8CxTHSde!9T@@Og48_Kex2U(f6<2U|_
z;z;jx!l6+GOwaL|;aJdvn(QHxB2^q8H0kN4FDv2$vb|sPnjSc<Iv!IwD}iwgm#<Ap
z5K!>MkE&EL5=<W>^o`6&V)vyV2NP_Rv0meC#2X6|3>moUIfhGPEnARRW3&q9u%A{X
zo*;qTVxsUkmn`b%mGU|_5^+!Fmssf+Bv^5~<2BGIhb+f*Wi9@x;#%}+Mh6WtT&%Sp
z>9J72J=UcGg;pCr65o5usEiDJMzxWA8j9#M?!P5IQ3D0eF_+mI=!5lISgw++5=NX_
zWn5~~#Ix#hc4<Q!eDAjv6cHn!9DZDx9?`<6GGx17K>_IrgYRBK%7`nk)wj%Rqjl4d
zZC{h9U|C&k{EJToZzxOT2n_2Wqd<wbZ>#~VsE)Y_aS$=Ow>k1$nJ!W<sy(=wWe694
z#3>{$6Y+_A)99Rp9+q$u{w&`!f|9xKKF2?+B6IokDihE{5!zhU;R$01tV^DLa90gu
zUrld%X|0FCbj7F7wKjSq(^->_V0DbVf7y_rpof_+$`wkEnnC2r#c%q&8mKAB;i6EX
zi;<4+@5Mbb2a(9Kwz@P8Buw3Od;dTOFKYT6Fj%mF?$pBFc|#h=_n(hh&oOPxEKD=I
z&JR$gA7jVGr-?_0+j0MtCN>J>c09}j5KB#O@aEM-e5$$avb+Y~5O8X*;<1E(d;9M@
ze%3&zvv+M<<<!uW(ZVAv#1aZ7g}<$z(ZK0dNzR026}+7oi(`$JuyyO}b(2MPOlZj*
ztwI7mDuk^wKP^F>wM$mpMjg#|dKZf%DdM8VRCy?u6%@s%F4+aC;kkkL4x=@4XveFx
zcawk>?AWRwKX+6Wr+5sBuM?&4!B#>(fzb+7Cbv!7_!9BJubPs&8)6u<Bpht_#S#n~
zUz=S86?C~+f5ufs7)@)O>bKvrgzYWwlJ*NIqr-Oh%c<-F*m+~md#;W7pI37SRt_lP
zS;?ud|H`;<<nx0sn#z`t?I2z)cwG^v-iY2P;ATVT55{)1HvqR^X&=f7QNWRoJGA>I
zOt}7dQa>dcKt?NICp}pX)6AJi?`>YAH+spqEXZwm(AgQ!340kt;Wf>G@MU_WfQ6Y|
zJPka<Bp-1TrLgpRz^#z>KlGS=7mif7Sisb<ODsV}0=H6H;yX3x=xj|4i(>2+a9f?R
zXwqH`$vKZqOT&KCcV<USvpAYVce(B;V~z+WCSR>Sc4CIE<g;Rudd>_keY3tSvL=LW
z#D-Eq<r%u*DZ@$M52g^_AQ8oPUJ#YWHP*iGo}tH{vDq!DZVGvNFSdfC0J^K3`D?N`
zL%&mQx^F4k1ga@V%Xqi*;i<2DF=F$->3danSCM**p{~oax^Ei~9!rwX<}{n5`ycPz
z@=4Pet{qzXmUNyA<(Q&(j6R*GUyq^OWKK5%S6(B&1R+kmpfLL*?BoLdkC{b$>9iq`
zJ|%or?qtV}dQ{7@e~CWK8yV8D#}Lf^tG?0k9~;UX7n_FQzw~Rjb!POR8Njul1fG>|
zte60I|I!Or>F3`zHwaS<pecWGF36Y_OANyvzWTXFUu_8_Iag94KG;4~zKI2sE!b`d
z-C@Ag>-*}4m8eik3Ao@Hz=F~T5(|9(GUAceU5;JF6bL_lf34ku1(TMkl^^yn<7|yl
zq8Nb!YZaH8Jxo~8W{=wY#pf)@m~n-<wNf9HyxbfPyRsmy>`C86CpLVrdB${{q7NA(
zd9_!ISkSh@fIKzMj@5C3nguOnklc4^oQatg?^ZcIh%Mp7RjQ2PtP2^)ucQnYQ(5u9
zL(Ws8QQXL|FP<bdOM?BUr$3O$Y^a@a=jDULyciO(eim{_a6LL9rfG!@MLT;9O5*vE
zt!Q7>HGLB7+B_`x`v*Jj$q633_EiAwZ|tp({ip{Wy(-V6<~i_3urx_jR0tEQ-YV&*
z>p?}Z&0}*FF5K~9cYlVrFxsnd?;&io<o3{a<|m`MaZ|$6L(?rHct3c2=eb2)$V+EE
zS@wqq-8LN@SFsVpR#WX}-xyu^$#x;?(1y3iYKIp{eHF+3R_3;X!n(lXY7D!`0vIln
z@Z|bsNz8W$OOk)212U0^T@7^vk$>vb<%mdWT<camw)dzG1bvF0odF@t3<;^`3718J
zH|^*PYaI}>^b)!fD2)CyiHn8j<k6zYU9m$$2jYsV)0}RLV8)}n_d_QX&|4!YS5Qj_
zMjyq7^6-jb!9>N$e;XVqkY<`LanOOw92K6;N#bbF`leQP!!y`y6Aye!)q#u8Vh5F^
zBvGojYhv!9GH&rsQi%Df1J4hiGr!a>g_8yW1xvC-%*ysOO*^3rajaaI6fVhNnl?!E
zWUJy=-{w-Hq#k(nl&err%b|Wr*oqRjIy&U#yGds00qsJk?kiBhuo;~+zjO_3>OOj;
zTb2ax|LC%aZ&kz>nMG{(xwP=a!*e>G?Ia)${_7s`Q^NXn8TDHm9#NqBj4NZq*V_5w
zwyz}-@W_bQ?j55#_@|KV{EajEKo=b?iKte_8xxuNsT<r8-(lZmlR<&u%*0zMZ&Yxb
zTkm{Sr5?6L>NPGtpaReHf5w#y8~h5^Ju)m$!YmH^c`hbHIOfzoa7aiE#n||q7LJlI
z+5L>1vA+>KioEZWE3b}a^Q6BkB_xz!`D+n1Yz*o9B#1l2HLy1>!}d!t32jDJZF+-D
zfwH-?<It=II`TCfejY@^=G&^e`TxvdaI=wWTBRng9V$F`n~8*L6+T{3X%_H7Q1sDL
zsupU0QmFd3Uk?{rlGONF0B~B>c_K#(Jvk*v4U)Qen%+Dbbsr$(c?>hLK?`sFvZ<*T
z&_*+t;<uwaEg{KAXYc0gT6m~l=x*vm4gBQ!aPPT6OR#DwO4iu5;f)7r@3mCa&>Anj
ze`ae1IvxapwpW@MnBpt#AFP7k8CXJ0a;<>Bqp`-0UlZ30T{C~(R6_qZ^3P10t>CX&
zEq9%Q22wn}ePjA0k2Ytoeb0Pr1ufd`H>%jxkwfyMn}3-Up3c%|uxhh{a~!FD6CJ9^
zVEeW(^Q9<qS?^9fP+<k0@y*69kwkP>8`fmoFNjNi1Duybtf0Smxuk+u1wA&){z+fr
z!qa`EwpS`v&~x6m=hhVh{)@lH_7qr<^5lp4+t-#L86-p5qN;?C#vHx`lm5{qi3w%K
zp_X86P#7-!Kmp6t3i_y{bM&46W~tI#mS7^PS|v~-hZgrds2cNQ^xLVpS)h1>`=4av
ztY)N9HsVZL_18gqxOnAmEy{*Bo!)Mg?IVe`3Bgrw+@8^yW`h3k=FlKIbzP)?RSd_%
z&J+yVm(d*8TZxw%Ex_e^=W*+15tMxxKu9FE(jLe<$zJ+l4yT-@UY@KM!cA5Bw06%f
z+O}BT&x#V}&`P=(G4pn#4+l$Iny~lK#?qz}KW{YypTUR{b>PF6lHK+GwcWJ0_eTyY
zr<+2R)6Q9aU2cpuV0|!e(@DE3P}wKcX#zX8Id8HF<G{|QIz6%c=QQP4x{akGCXk;$
zcWZ!=4L$vOzVR|O(Vj*>4QkwP3@gh6?-oBWqs<34-$cb?8rPM?QMLLF4?1-;@4yBR
zoRXqriwmpi5i?`=klP5HBjUB+?q$G3|CzU+Kh;ccJ>^}n<&Yt~cy6*u_47ZvuwQp-
z$*C@SeitdVsLcS_UXhp_qE_hccCyo|UcGddV888gx(3it)o`#VWSM?VfIQQm`++{~
z=MddlKm`Zu*QRd&Ez*<1lI*%CzS4{Lb6<Alpu(`eCtI|~0=*}yCB;{8gx(aOvYYiJ
z1u|I~yBci%&`--tt`Ay_(%oI{$hE)qVeNHFZGP}P-7Y<vi7#q`9z%QLW*nps15(g=
z<jox2JfvZh-s7Kix7S5pSsPx{baXSz_K-PxweEG+7pXJ!DpmL8OF?9y3pVfLH=m>L
z*_2UUYc)&nzU(n+y}=_VQ40dabdD}}ye++xd!GJhpY>GyNfH=M98Fp9o1<^)`?|C|
z_J_WBRk3Ol2MHqj_<oZg&(X!%G&)^BFVef2#lNTL>%pCow=aE+=jo9%f(LzPmg)Ol
zv##4|>4EGn>xm0r=ILGMY}@+@t8|z<{AVgz7jhRx#t+{5L%;BE;#_;o8a<aD!(!5;
z14Prb1MAlp=owsYEIn}ynD3HRab`&yS~*t3IG--k1uWlip8v#%JH)qy_nB(LrLaF1
zcR7~nZd{&J^WDs-aYK}2f3g<Tl@&iPIr*2~wfnZ4+!PCLA$%0s+OG+n{YiJ3Wmf5h
zRaOE|%GppkyOREeqzNoOs2?-+kN!J~$!jQy1K;Hz$~~N`0YZMiI>|HZ^r2g))$((=
zkZ<kN^1grSV7*@G<txgF_3ZZ_8?^JFe(s<bB~%^6n(QLT+n6xen^nuhkRN4b-pLkE
zse#b?Esy>xW{h(h_c%E%fHnqitpXy{AoSVqqd!$yu|cQ?rM-pFzAbBi3ac8V$>{%c
zY-hue`aTiIIbmFo`+i!ZOck6y-YpWi$brKpY}Bt+qUgk)Y4>QGDg;ruBlFX_&}BfK
z(2^>S850I66FjOQJa~l=bC(Bs|J@z`c3u+8IfONu2Z<2#@!D)A7eC%rUI3XkY0SHs
z<z3lCgzsNd<9s>=u*0C3D61=nhD<kkkKZRkW=3DGw7w9Q?N})&IiP^&b*{fld`Sem
z;_vRU4~5aefXZLjriep{FBI#SiE!*0Lv4zeC?5WB<cX~VVS_L6lSx}tp?cO$PDDc-
zS%0;=?D(#XlkJ}z6xviFHqVH&QBo3{MaQnNUnb&i!Bx#&;c8IMzcPALR~k*@-v?(N
zR6}u{Hx~KM>L5pEPl*kZMVTr3^ZWK1ICkPD^B;c=7zo#S$J8y4d3F3rrAAt4o)mHL
zL$fB-e5O7L*HXmm3DnmCWF1UYv=aL4uMHn=ef~~~SHjV`!<TzS^>B6O@OK+eUGVg7
zU1J#~U{E7vhY}A76I}90#_#oDZ+1;r+Fljxm*G`OpWoo-@0wR>nq+9$BiEz;nuy0w
z+a6?mPDU|nn*fnJ`jF6ZC34VS4L$akSSm*8<MZ7nJ>Pt&z~o@JMdXn>21Z%5URc)0
zUAR0P4Td0QC))g0MiaAF<{vfLP|$d@yT7HCG1M;F<~;Y)Lg&^Tg;FO927T3!SN1do
zYX4%&%~Wj+Rk$ah#X-S3-oI~BlFh-8Fh%V>rGq}pnveX#^l_igQgmGv4fdyhh~}c`
zVr!Kd$FpQIR+QN~e*6I7**>qirCb+l+%!+DIg(INwkl`+l_l&sGO5w~QWt|gyOv*E
z(8VR@@RMh+S;5Jikj&2oy67t1rdg|?g#)El|IpDI#4cJHnu+ToF}lNF)msg7L$#0X
zd}R$&X&i(cYaP^hd!_U4No6eD`{(^LIU69PU$&4{(Z*Qu@R5ou3iw-{(=^-K2DsST
zWldT)dPQTx&bpV9cugTX?W4I36zbM0#pr5axqO`CrXNBmU6NP#QOE`q?cS4GL)9?k
z*@^we5u6xRxh<HXZDXGImB*~}h*+J_Y$<>EA6=)u^o^FkH9SA-VqI3Fj8@McxL!>D
zK^N9`u;!n)f>*@?9|Gt~$P&R9$|KQ9JGq+m{CcDn{J6($d8S_h<;hiL!)(83uRdH#
zo|v(Oz&-sMd<=5<YV<VC>&_BQWlwn4V1Olr5{4FYj!R+8Jh%G$v+FeN+Tm=UZvgKc
z&--5|h~rNd%^R9jCZHy3q-A;mv^4EdHDeb+#r@e6MuW_-JNCBB9y$%)|I0d8Nfg9h
zYqux<pIBf=PvywmOAD~8yXeKh#)}n`#d6}ltWdk{QOnhj=8yzRO6rCjDE~37$Rmpt
z<^(MYj{M!|X{>&|Z6BHOt(M+@8pl{crfJuJqLLX%wA`=kA6ln-&Bw6bqOii3&2{A_
zJ58aOweeJH{}SEfKjWIgeipbopH!lpX##=TA;t$XXX!(Bd=_lsEa3iG;HA}TV+i^5
ziSg{`aeCqQqg-L!Ea0Q0>$@sp498qFw~OEVLf_Hkc;xLZW;j{u!_^XC1o7j4QrgQq
z=vGc4vVC66&||PJBmLA6)Rc^<J4huo<Esa`<B7~rdsmM$SI!VtCpmxIIo3@xZOCyx
z&&muJ|Mtps#u<Pl^ZhTi9-n9f&OSdo)|o)GHu%Dc2`ZHQ%{P=!8KFIq{>E$~&I}Jq
z2Da>Rp~AlO!S*LZ<1|f&+zH<;%wT(6#9zCE0(ozxy4&7P(_Yt`KZ`A82I`lY`L|XS
z;PY%cVfN@Z?Vw}G)LAJOpw#c3RHN&|l8DMKg{e7O^n^fR&^;DdAlll9fId7_7+hH6
zSfI&1XKt1`!V2pzh=IwiWQY~H^&m%biRL0_sc~&98#uGGOdoS5gMFaM^0dldnk%2g
zZH1leaAotyi1AM(_#XfO|Njh^c{tQv6vq)|4b5OM_8G>$kKOOsOUP1+2yKdr-m+G<
zkey`Tm&h)WQkZKi6)CAK5kf*lQ6XOcp65RI-gECc-}Cv}onLCMRNusAZ^=v21u?@|
zj?(Wh-pa7cmSb)9&=!UtiA(tSh6Q-O$QuVRD+4a>-<?N#bZ~pdYckA|4Z?>uo^;+-
z0_K0Nfo?AJ@LF;F6={tf1V3{eTQE_AGMkAqViE(i{am$|?%fNb`8U{%2Nj`i{tg$@
zyIt_-BhSHN4=&IvtMW5fR0O{1qkc-VOi=W4FtjC#8=7tHrlW5wKvgGK$HVO15GtdU
z7v8=P%9iZMJGSLP&i^W7y%aNa=!EJ&=EuX`E6#J1f%0HgE5FCKp9M-2)gqOWctC22
zyMT^S9$XBi1YhN`!M^R3miJP8z`Dn}=0c7f+^-9(Ka<1(QC$V4DU$@y5&e?fU?K;s
z%yEvs6`WA(zEWb<E&w&m3_MlzaxhhAQ7QL_3w)ucs<WF2cdvaq;M*??huwHG8&vi|
zYgJX=wco-(%!&Sx@I)34?9%1&kHo<N`%@=+?umki%=g9qW?ASrbE;rj#e=hzkN)ti
z7#wqLw}}2E3m%GyZ6uf%Qs1ZUd#f)2`jH>D+=b*|#VAfqhC+Z_M}+No%1L0yV|p#^
zrW}m;%i+H*@&jJ1p~p#562AA#_Lbx0!K1!$HE%!=%tqF@gBqlu-b6z<qhB6AMoBLj
z4hezq;{H%AYiY=BW?jzjQh--d(LeTXiU7-g_1b^GWMHr>T2^F55!^MNzAO<E14*%-
z){33?+V!nHuA)W>(q%VBS<S^^Y4O8NM@#`I{^_wyk;?F>zl@hFR08f48pu-LDT0TD
zu`E}p3Oqf|R{w-X0`ALY6)L4lkcY?hZ4{`2hu+wT2!kY)s;#snTPeeKJtOP%v>Kdg
z5vN)kNr6jeg#gEhGFaO9m|V4@0%nHuw!T4uC$aQ&SBzBP^89R8&_@jjOby#jE|-Q|
zS(o?42CIPWLEV&wYg(`_lI8uoRR%&=20HKGQUM*?m`-n19S9<hg*i0Jg5N8(k10n~
zpd%y0_{lF_i2um)rYuqpvJLCW?9<Bd{`3uj_<DWVU;ctEQA!?ob@z4ksVTz=v*1fw
z$^gQHudk)umWO?&=et?Wlt8=AT&UsiPW<+_u#Q%FC_hiVMK)3Z`nyEE8&w8?`{(jg
zq*5Nn{yQXdCR-LRQp;{VH8O<LN=+{%j>rS{Bn`(@OM&?Ix9(d{48gwr<bk;sIhdp$
zWNXhPgH2yudOoKStY4XWCH+knin#IB=lsRtyP?Cg1u%j+BB5*XlMHm<YGEns5eB2l
zM?*MkBj^udRw5NjLmE^5g^V=<ERO#Y9m0$NUl^#hp-+LF!T|@t6dXjBF!xaKM)17V
zUeF9lf_`qnq*D+FSiSH_%Y17H+?48{;|gR*3z(;S&CUe)6T#N2*A2lhdFr)ziUhQV
zw(QD(yn(en@^$+lU<fH{dgEb##K7~!Ad_{<5*EYq@}FC+0sQ=+_`v3rD425B+JDR#
z#P|*cY>4O^07q%+L6wI>&@8#&GE~<{yZz6{Zs7$$Vs!h6{4)XQG*vh<UiOK0+%IQp
z<1m1k@tK5lIs%9#nhF>;%+Lxp<)la2Fi1?(1m*KQkali3%g=v-_WtYZ$c|BcNR5s?
z^_&3*c@jS!Ug7vb6RCXrTXI_uf`kWSLtk@&pT6OvbjD?xOrhodaY;R(&B;DLoxuTm
zHO7P4Hp?{HEVbA1h%U4O{4ic+fi(@ef7gYUX$eP8KfNEL18shvPL<Z~hMH>UiiDUS
zw5AWdGB2NLgYam~jmz!3fWQ;@d#}e5jhK8|*Na6PoZVN>yqBVfxudxPj_%)SX`I^3
zM{Tv>%-?8P#rl8PLgykgUU{BoAG&f&xlj}CmQUE07X8I?%9{iXzRc2A=F_-qRy82y
zsnV1k_Zrsz^X^gcJ2SNP7rX|+hcsYcifvl|$_iF(VkURWdWz;j3gUIHp~9ZkhT{ix
zeqgb8{%e$woTNo@F^@6rqeAzYf5${<^Vmw%*;Ahd$7xK*$87Wi)gj^Tws%y;SB!G1
zl<U-mPc$oR+~n<y8n9|jHPn%(Fvs~~$JNC_+GNi*KJlm;d<|IklM|W1Oddarc!%E8
z9zLgAwdhfWO^?Har}vIxatSx}hsOJ90Y_@gri@h~WO?ekLjEB3>HTXVUW+$03+a_L
z<u(=gD4vw>{&4_%bi3HJb@LUi;qbjl9s?EFKiYLOtKcoRkd@^THvOEYQQUg+zfNUv
zl1(`_)7y)g2ptNnH|wO`c~Chjdr%qd|2+D_uJQtVHJH$%N@%0S>7-w#yjKF-JfDBc
zhq|yXulP6P>CLp&6@i*VCzZf0CeN*pwH?#a5h}O2|A^MsDf}2etq2{<rF}25Td|P5
zP;dP+^)#Le#-eaGMF>BktRT(u1j`d#NgFe*rR5u#W^`&OK;}`tpRqcPSo!>bEBQeg
zjez%kSb1I^Y*m^}i+JiWg<98RY4b(2e`_)k`wHct!1E#hsi6Cq9q~hbV?{P?FrIC)
ze^eHnl_PF3v{hl#{PNfP%aUmZE5C-Hi^xK7Z`iLfyK?L_mja)oK?JQgGa<M4tPI>N
zGc1@&E5)pV$M3p|C#^Sn^K{z-X|T@HN)PhBi!sWb<}bW-9{WS8@eJK14S!dE;;mm5
zVe1zU<~#`s!{B<v=Y?YwxNGFsTaa3a(OpgMUHTM{`CRPy_~n5V1U*y}8$|_J#J=^<
z_Qz7No5##8%($iC7W$(}F(|;EJv$^)nVyODE>Cm(y&?&#0THAv_5y5)vu%v0D-Ux{
zbfS$6lOaxJQfrD>fE5kiUU|7uh?VpR_w}2QVXD+fK+>}S!(RHg`W4;9=3e+-Zf_vL
z_K#QJa(@<J#gB#_?Qy$@xs-@yCrXhZr0KO+WPKq<Va<KfU{HZgO&V{C<Vk>!KiWJ}
zUW7dt*d8dis>Zy&H*Po(Bw%Fz4WV$L7_&Ya=fZd3J{F{$_JEWo4rX-QVvN)hEU=>U
z^?9}j*!r~mtUI4LyjP$X$MuzB?JrE8_x`NMqLIvA_8c)-v&b?!R8)pJUbr!fV{XJ$
zdP#cg5@HbiWzkctz5<)!T^hM;^%#>Vi&Q4oio#NnRr(N9HRhxFi6gW331*x>y5C7p
z6cXQ#)IG?r#R_Y^0$#_pU|wrR+vd3<(2_ste9@>53(N`rL2r&QO$px5&$@)+pu>?w
zY~lgt<NMP6?`j*i%*B<<_)7?E_>9vpRX1RwZCYQ5eH~c5;oncAQagHzY5!MQ)rfVl
z%x||0cVV-s{nzB(h>%LXvTic<7`rz7Td-ZY8{=hgxzm>~2&*p?p6WP0#dhUOUVB*h
z5_8pd2`T&{00CJBN(XpaF^>DPm&QGMvD3MPg-|&GAa@P*1tlP?D&g8mMT0k3;=$=5
z>p*@um|ZzJtJ{wGlyrX2`STVVA8Tq_>LEbTzw<8&1UfOgT*sdF@psr`tLGsGBm(pf
zPn7+Vdxo*zNpgYh_gKO7y%#bed@z5f0p104V*?wfZa6s(V&FRd@Afz^RO^U)j_rAc
zEs{i%`2P-Ly6uZGE+)KC+|=<kc&ry2%Z}i*_%e!psj4Ce)$H(~`5_0on{Tkoold<&
zN#hvqM}WwPAP=xEU(a}J)Q=qx4+&v&nZ)ks2E9ESkB8d4zlP(~0ZggL>v^5q6c(}V
zD#5c04~gD%4}ZCRz?8#Ox4!1hVEx_FYGc=NU|A&Y6Y**gQ@6W*KUC-&=37%FPg~yy
zL>6b-tH2Q~@N(Hf(dl_C$g;%Z>Ggd;p_%#*`;B2=YlRICZY^SaVh+lVGVFsBf}GPM
z)8p8weJ<xsw3e~5EqQ0ncy1`oCl2YNN$i&P)d@q%pI9UQ?d5qvZm2v`J@w$t6lUdf
zfRo!|6)O|4^cAn=f_hUH^BAG8SlVgjvcq-1vEkXnJOXB1Acq_d_f&tw>OZmc`8ls+
z&V9H3n09l5hD+)C;phcS?|@=F?btsoiK^{k%fSg#;e+*akC!lI>qFO-?dhPK{;HeD
ziM_z%cGz65cp0ncGg-1xW`M#3_mm&a98j-f;AWEd6AP=fw!Uh_2%XM8+V^BQfKggL
z<HNgEjM1g&_<Zti`22QBtGk>XBA+<wmYV;;Y#0*)8zoub(l@RNF+FxjPX4Z~%esMi
zj(+A%*v$@>u}&V^vuse}@cs8sfi0~4bD_YZHYa55v3hZ>mJKq=mAE|}bnrVQHZkEW
zH?YWv-8i4Y2H%L*bK?~ZVEynnF8ve^j#{p{PnNU6jJAAD$xB8kHA`CA%;W*X%NIX;
zFR+1$8*kS&${tAiG+7wINq|=imIo?5*n#A)B7uL!0@6=oXu2;2V8XH_<eoAIgt48<
zxYxuEr!9oP+Px8i<Y0!LFq^%wQCpd~u)zuDb|+c>+!2Mj8`^@~qnr>j&^Sxi%MDFN
zQGJ&@#ep&X1tIG<7d$(o_mT7(2Zjgwxw$WsKx4^sQp#o@G)Jp;r8DuusDMiG{ZdKj
zzxQBBjsp)dliRz``4M1w*N<<zIHVymB}Vcp@Ir!avc8^_Aczw(AMh2+!hcGPsW!X#
zA-0}{fsP;yQ9oE0)6OVBc|0rr{$(PVxgMj|m52hR+C^(+htFe+4xTu5L=@yi{1yvc
z#i4HUhHW@S1voSvvP5RZA*5w_+ee24?7ExZv07DFm&|@`yu<N+e#M{ms!D=`kh6Ta
zqB^va*j$+#q=B7ea+JxC0<8jqmj*Ja;Jw^0d6QKEy31+R!mcvFQhTZM?yv@ARMo1V
z+wl>s<w8quLgk=%_sUAuuqMo_b86{1sX=@xp?Ec20bZ(@|J)Oz1x#xmD$j#7Ai+uc
z{<j_e);W({j^EdU75gNos8MZre6;f9due4bU11X7J*)+9x%j00PUu5gzMjVF4&Ntf
zp0E#f)P$IkL~F$*fGbi}veDiufICSXUu>bm0J)x!m1zjG!~=+nrUHytw6^9W)u4lU
z(ZP^l40k``JTqUYK>x|3Y5RMXp{Aqjbc4MKJa%XJZ!%T|#?B8U*<O$bLTzT#aT8N;
zde^4Py;}vM`E9GNj!D9g?CT|8M@->G&pp*=y2=oHN_IijS`=<cDg81RFaw#7mz-lY
zm4G$$NnD=-9>lh!8u*yafOj!@Ac#c)dL}b|whYmO-Ak2wVGm3}Lx^k}>?8{zc6O9*
z#h0|Q#$JY}(x%{IEXk!1PJt=s3K93W^ax+<fAesV2}}lCj`U}cfq~_t_so;MC^*kS
z(UN8i*B@kNdew?U%732~Hm&h!E-g}Z=8qBdDCx&+)rmmKSF!(OR{4-jEwL2TjDUIQ
z!&tVl0I<i_CxnIxpayj5?=8O_UlWg111LPO_qj(Ar!o-*7Eg40J~IHPey6jy&T+y0
z^-=*|H6b)lyIJ*6+yJb^)RXn`%+RLEAvX6&2+_k<*ian6@d<@Ie<B^!S+B#12_YnZ
zG>OHF5n$#k?=R1n%a~Zt&nf=bLg??|(jsAQ403`t^!sJrVOMV8*gaB(P+c3}Hw7hq
zIJ_yC@i$<Erl`@iTmOI%@>I3ORh-g;V_6<4{FckK50c#d;=hR~`|)oTqjFu4QhYu7
zK5w1I7izvnE+?Xw-bcTD+0p^sqD#U{{`AOiqJK2)ED@PKV2gWlQU^ps=pHR7Ga*a2
z{L~UPBH}94QrCZ{4chJn*#%L|NMYv8mkC}Xx)t$NM(&U{EW5vU42)qz&Y4f-@;Qm<
zIghJ#*n2Jbn)t_N!)PzszIS!TK$M7%N{i9^pV5Nv?^G9UUAa)}R?kS_0U~np55DWW
zr3uEzp8dWS!HuvhUTarkiD>aTYxceZO&Czu?4hRZLkEpG!j`9rNITbdh|ydVF82Jj
z?M%ZVii6mGk7GjUN429Bc~b+z)he65$Ka8#V6zipQV5A~o8!(lYQU?4g<@7;9wf?o
zmYp$77|m=nS@rpAK+>Dp+k1}lBJQu>Sy?qi(9-py%4<eDzN3N4bwQU8*>x8@AKex~
zd^z*_sk|BxaJ9zGl}JGNs(S12i=rsx=2C<03Kg`+%RL`#5)ijdkHwWQqG<P;OTn)X
zRIu3Fh=#`akz<!*%o|rRlo6!g)!s=3u0vNF*E<BzyUHN`lqoUvP9s^DrI`xSZP&tP
zs{~Q0tNFdui{dCrNz0mNr;np>m(NLN5z%9Jo1Cb1ag-AJVOhDG3R+xr`(|T>kkg|O
z??2HJNT_PCp?H)E4^*yda_{8%w<;yoM1X{FGZ(e*{-XkEy7;5obrEFrP4;YYISEC*
ziQD5$(EyWWNB)<(qUdq+%{zQlG71q+d@<py0YkgZ7!sRBQB}w9lxr<ybnrx>kW8Ki
zyvYHHN4jE&weD1Yh@K=WE6iYE`=$XU%9n1sH;bWry356l^^(YRTV7R3UlX<>zn;(4
z7Drl#-?ya+Nugcb1R77SCeRtq7b-Q1qvYooF5mW-LRQyy*)lL`!Rh}tIX}uvpqVch
zeMQ@)P?02WHG_{92sH-3l`fD#n}VMlKK+(LUW55FGxJ&ysqMp6#YRH;Kd$tq@KI2q
zlGh%?bJ}1|-<$L95(yEPYnD7jDCm+$=<N%$+Axvbpo{A!A!pd$nCGCNU4w&8F&;YL
zw)aNR3=bKN@@b^XOiH1~xrALQ3p%hhB~UeHPevpE#bgd-OQEwFJbkAw=z=QK?<4o4
z$td{FSvMmcDKwV|9bI2_!G3}B8B~*z$CGaX;cb%0Sc%FK<D>^YKQ@vdATs*mI())G
zNfPDsa+hax>%qf2=R>_a$SAMv_IddjGTO7^V#p+;5A@cv-_;+Ik(H_i3qwB%-J&tr
ziv{b$^=fr~d>R?)QrOIGck=E@sH4R`(}zFdY|~fHl2Nwj{lq0L3FP)}LsfTMA9R0v
zzr{(B5kvAh{$V$9^mKXPXEX(anRy30h9MHtc%^AXxFv?1d|Qso8)BexL1QZA#?E;H
zZ^9C*MG^i-`DI-T3`Va;pLOCTp*<DLX&rSUs5!51kAxWpQa(MUd?gZy=TrH|B7!gq
zc!ocnu8P6;=z|~b%1WTPaf#CosYJ9pnISoD9|q@F8b?<ucj|#}IRB=cAToLrmm)E(
z4^<3ewm+rB5d*!%`G*tysC7{)Gp9-)9>0Ft5ML;U3~txV1wSI7-L6lC4|wdXuNDhT
z5!mUUlP<GiwS4G9$8blmh(3&pFiAD1h@w7~fNPO2d68p)jcjtS9yD997N>BFBE}E4
zlq_am)PLzQxywfnR-){ES;!)&@6kDb>Ukc-+`djY$gc+gQ$Vc07ndWBCn^i0hYyt=
zo|wlYR=Fp>(4-5I$BmhX%!QD2(4B869*=Zx<NlW0>w;yJ^?3DvL=@`U_o?3skGfY^
zt*@@=fZ>EoOIU><Y9uUZ&&%OapjYV9)p#9%qpst@KLyZd++?i1Bp&%YG-P^GbRZ{I
zm>6XxfL2)Sm)y1R$gy55gt1c_1cSXAp_w1)SDN)joW`TkdiKI$S8WKiHcsN#<3|??
z+a^^?@hC<}ZGYgl7KGk2)jIN)fW$AVFXH~;(XOGy*i!{s@OP7Pk1K$H7F<3)Tyf_?
zl|E55?8aIU$W!8Iu0}viE33(^(>%z5;_W;&rwOkH(q7Fn5KutoQCzGKFG?8HXtGPy
zgv*(}3}}iEoj>|*BaW93`Rd$LL`IrmimyDBHpGX*U#I`!>E=Tm`nyEp*EFE+<Q#!A
z!G~sTa#a(f38>i8+C->E1IBM%eIm2Lhm`mK+y2jyA01W?+j!@p0soS#Z&*nY(8V;q
zMiXrTv`a!>msef`B!?!;urmY{ZqfN6o+60Ou6(+3aFq(rVyM-n4Fu#<T^ss}L_{Xz
z27F^3RG?#$@t5M^NB>NSW?l+H=$_r~zdAb{M;5uT=n~0~#5bj#-WUs`!qi~<4?a||
zY<iPAy+;5gd~ehdcNamL6UB*Qj#T(;&FN#9DS#0D{Yf=*Q53y6cP+(~3WS(o<z+2F
z#585G`FL6sB?KuRyr)Bj?qf?n$G!<7`|TM$*9bAx6rcY2trivj9yEW@RZ2w8$MOYD
zDB|c}&*8Xe11h|#zG?1$SqN!u<)|I*6-QnSs$_jTDp0PuA2!`DjP~A#6J}Q=kVMj!
zg}oOQTIR+$K}G~QcC<tl5=e-H5V0zgwxjdsmdm$UMbWhK{<+GhB;=5_mz`l}Ufhm*
zCbSVQidGy1SFSpeQ8J^412dBb%>9|ulw;WGFMFBPw<}~ctDI47Zm9u(uE?3ihKeEf
zFLjA-VUoyV?O%9Jfd)u)<HNtxi=%|HTDA1uQs~RAD_(P38nC|Gp`0;H9L>BBu<5ui
zg*XJw^Ml+qfyiw<?m{Pln2uk)N#4=byADKh&5$NE*A}0=bWH+X(sv`$t5Hx{on=74
z4(HOBE$j_nmOz(N(vLKHQIL{pI&=01E!c{;5gT_Up&5%sq0h+_^dInqM4r%wy9?%0
zjn7G_g=2aDrECg160sKLIj0Tmv{<4RiHvf5<8~|}1x0k|2J8CkfXhqq%Vk%|=>7d~
zFBp$fP<GY{uO=p4Se@Mye&P`s1#%_+Xk(_JY0Ep7!AZKn<oS8_^Bfu7aA)xf%9TQl
zPIcb}c=bRsj$AayA&F3suXYHp6xwg!*C(8^qvx9?4&fq_D7KoZeb`45!MX4Y+RXY8
zsz05!dnaC!yCi$Em5f5;Upm`(>qDwz9s`A45+$A&`JDWdgfbJ4<tM$=ho6Vme$am<
zqxC@5mP`C3<kSM{Av_p3p|Tq8`#b;lfg{RRO#)3@7`@}P#vmJK<feX(jMQ=?Y0viW
z)K%R~W^Momg<ifTce%(&QYo_f&~Y&|5O^|e?KTEaZ51v~SCG(U&)x&zEsCzbPO-Mh
z+}S6xex^l}grup{hLU_DDCpjlzEKheH|!G5lA0w@?A~m(bT=W?HuKu$fgc9P_79y@
z(2zhnE6lxZU4qDED&M<v=RPWO_EFnAI$vjCFm-0X0Gf-qtKUn+AoE<~yC$MI`eeXl
z%l(~zuDe8g=#A<_S5c*hSF9L<CJ2>l<U@TNB6Z1k^kFPV@iFhZDDrksh`^QbB3^GL
ze{%zUDEb)06Y3#~?%MVbYCPdV!;rh@<JX-z`|PAtS+fXwFBr>Ywu(nC5qF}~qx8VM
zi7tz^Mi@2T(Enw71dpaWf@}LpdT`0IkEyOw2${)#RQo%KLo~*<n)()9@FYxm(H;>|
zp5RyOTR}La$2F&X;IJ;dX$yGs_nja*P<3ZQz!-;ApIG)reA9t5Gd=V#=>^f)uhyr{
zQaCit+?rw#qyvYZ;(W{u1yF}-<CgDEeD(oc)Wzw*f4|muLmEF~zF{PL)&Pg9ey6?>
zE!PG+e9<X`EdqLEmvy)63J$4PUg?MgZD=7)gcSu65JmZc@SkQJYE>3^yEdc+8@H{;
z;@Ai%C8stvP7sftT76zv*x{v(=YIT5b$p1_d5Rwr@W^stjy!_bf?k#S*%c2yBp&M9
z^$*8`=J(r(%RSNrg9<x5MT-w@8G3GwRPvx>jl#|*&YBQR<+*uQkPj`mx;7Aw@FKfI
zoKn$yG-3CGpTQY!KE#=Il!E8vLytmsT{yPG+h$kx-5e0$L%AH056ySxK&1yK;CJ-=
zl^}D0s|FwHs!VIOtS6vt?i#9yga(LOzr!`0<wJ)z(}ter@FPj9QxRhmRA?7q2=_1J
zLmuUy_iLsKpyGJx<tL?7*c;dR-hPu0#WONKbITD#J?Xb^iv33g^~(Fl*4zk4hG#ps
zyN-z59W&^|jj2#xafp3mkbwSGycL`p5JJ`I41x~ARFG#l#I(zeA2m&}8|+~c+2N}~
z6CxcIa7Q-QivIE=@b)`jAu5Uvdb+7u&Z&c5;KdoYB7q&gdE)NSDT*wGZ-2Nnstyb?
zOq>mlf=JQg(&MoUVyIBAubXLD9ZGKh*tIG~M4Q)`>74n+k=2a~;k0pe;LP9^bKCK0
z=P1O5&Ter;V`la&SXPJI7MT0qVIdU72)Mog2}EHxUCia6LS~4{!c?~~>ha4?T9Y9m
zszv|6hT4wrX#B;O-Y$aT>Bjr74wF!Gji*1)IV#X%M7MfQ?#!X1CdybO8P)4&6v^MC
z0zOrNhjUgG?Y)+?yjxBZ3CGQhpWX2<8@A+jMsG0`fD^l}`$7_x3T@(^9?*bdmx4n9
zf5lKrA}*BoxD;ABpclGQr2*P%HOibf#ZmO_BVD;;QfRW6{au!zCQKh5w*fW@#QfYw
zy48Az!^J1Ewo)|V;TFG!Ymx-Q43ntNH561K-?UelpaoNV)K3<0kx;qrT>;-;6qN5j
zGhAM*1;^ISr1)Y;$l`eI1#MAjRBqtCLPynxQL>@@i**wE9{>RV{|uLTSd3j5hg;CT
zO*7N9&oq0xnwj?Iscb2PiiAiMO7$rbS}183k`P*K(PB+XJ!NU7q>?skmb4I})i?h>
z*SXGn-uF81?|0wB84vdeOt?rgG<Pz4W)1)4NF2YriHVagOXVYUxfl~Vr6lQZ19nz6
z`#zR4aeKtERmGzmY<9E=niR7Iqbrli5p!5*;S{jN{Q?KGp6vY<dfFD0J^Qa$*t76L
zpJWUgbI{@5cKhr4b};hF=&iLs3j<2V?ps`7<G=fK>eoAVAYEtW`Rssby^Gt4kues&
z53bZo=Gg;pPOkOUC>DN;yXQ1*$U=Sc4n^)2dpNu$!)|*Z3m;`(+Amzm#6_W9Z8v0v
zK$i%7q`ioRlZ|rA1%3?lyiREM-ynpfk9mZJ@+>T(4CyrQpyT2Q;sw3)LP#*G6FjSC
zqRzI#>$DwuDC^Mg#%vaXOHf6vtS=Lv9CK)0?N7s3B#xiuXCd6ke=c+57X!x`hc7Jj
zr{cP&SNP{gg>WY5W$o2{44hng_Qr=^9b}tnyUhC}1b>3&B9otVRC^poOBL5f$(xCz
z`<sLyd%FGRu`P5Qd=>p%-ANNC=3bjwnJa{slnM)@XL@MT@O)qSWp!+`OuDDAT?k?G
zgGx7>>ES?};X?~k3T9=wFJHwFLdA*^_lQgyjvoo#uJE3WS~K!d&)e;x&GencslQb8
zq3R{aJS5@$-o{D81NPAKyQ<~E1}au_W-Ol967i|}+y&BF_As8V>a-zM7muVkBzgT%
z#Vf?>*YEDyK|_E{lhh6!yhG4?(X&_;vkcx})N-){r<j%!w!1cN{8Ikv_+tXjJ<=mP
z*=q}1)Qoawmucaf<}>m;w-WGVyzznTKwJ1uwR80K(nO)%Un2&GfRF#Y@}HQrfjsBP
z{znlSX!FA0Rj@1p*Ya-XOdPd=dn<KrSrw||Nt5$EGNO6sDg*D0YBq4nmVPYp2L<>2
z+J%h_0zRErQ~UC=HB2w77&c!{!TUZh2kxvTAbGki?1zOlG%Ru*j6yZ+@$OTZ$tPf5
z*>Z|~lNBfoF~7zvQNy#jx73v8s$%&QgWG1Ct-zcW7pnh>jH~Bcu1Jqm#pjx?Xg6sI
zhV{RwE3(OWi`NqEB}qj0yi=1;PFcddvnlCCo5@&6&uut(o`^B8=l2>~Si-m6QN(e3
zGH%vS{b%DsLjNpoM{AD-Y)c;TYc(a~W$EpWGty){q$Dd;injpb<ub*$0y4T9hj*@c
zMaFx-(^VIlTR@9Jb4Q&U8QW#z1l@Plkh}Q(&W=w4(AEu`F^D3gjM^vC+5!qToHS{s
zUKBva<hF#{Rb=eA`?EGJPaQ|DS=k-)5y066^#7y@YPh4sQh7nC25QVknPo5qAf>Qn
zwlhKvpL))f;62ksn$i}_tT8@389yoBJgSC<-|EZfPH3Tl_dH*%IzA9Hot%&FqhO0g
z(lMdA4%Sph?#RvOL%~dqN()gPEqCAdwBE0aqXU(Di;nW4y!&y6c8xkJmuvUQ1W++;
zZA9p^J$(4$x+q5`N&^{3(#KX%Xec4E=;85Qe7LDl<0s>yiC(W3K+!WAKK;3TTSf>U
zu3l8}-ow_y<r?F63=;IPeY;Z7hJ$=KnNjB+Pte94iL}OSCpsGL7%)r7<U=rLu9&@?
z4zAt3-}kUM16MyFcAqNe!w=h<kD<!CctX-D)u5VzV?*Dg=MD0~an7o2FJ&seoXD(8
zh-Bj1>Sm!0TL7u~J$=j^DmI9B?zNlG!pASlXAXo4AdVmBdd7%`wLY8U^4_vAwsDE_
zaJ>K?N4X>?APx7q7JsOTXXCgzSNwpH1;{6Uc#-a|haL0Y+Hck7U}4PFC;jIw;N6w@
zR^}Hy9DjCT8>4`OzgH8*;<PNmKmBxM>OMN2NF;gfCv#DYut72Dk|mJ;su;YP$H27q
zHQJv;xM(9K(R0tz3RG<mrz)f|&^Y@MTc(tYO{9jT|JtqK2I2X+5qTyGG{zRTwsO%>
z_R##Nd#u4S%cE~`EE87-B^q85&3ghzF8gTPK!agNMc)@Du1PC+n^nZc<H0Mv&OWgL
zjWt2V@eVAU%Bl%W+Q!Aczi{lN=)aDY5Zi2>$in)67oNLMad71Pw@Di%JGl1B`n_ot
z3keRU6Mcakj1EyL-d$)1a*T=S;eHmHKF@GsJ!E6G#NBaY8+#aKFgrX4S@^OB?!hPv
zv#a@4C#vk>ZT+seCvRA2M0Q+cEycp5(y(R?Ga-nPBpj5gMd#`7{5LAY#EyfvC^t?B
zA-Zasl5&)V8lUfIyqcz?gi`RuJMV;0_H-<eWXHl`N$Il{19~WZLH~QU0)XoDfz;VP
zCceBdY`VXZh7TgiQ*U$uw8c!1N(C`-Nz1HjZ7CH$?mT3VY=9bDUqhE61{y^DF3h#j
z#b4vMP9I|eSbtG2;%;Q1bb-&tOhau90FwF}bpV~=+u`${&@m+cu$z&sCYJC#h}-4@
zoUux3kYdpBR^?5d>=1QK=A5mbeIbOwX33mY2la5{2UoW(&(-kO6!Dx%vJldHblVDE
z(r|h>=hLCJWc)6%Drd2!5N2FmuLf~xIC$&QRJ1Y)2Rn{t8}!&infd6;Z!uKS_bOg=
zX<QY-IKrkV+#ZaxYwj<(uZ!Qdeaf<wRmJ=VPiQeR_MlT=WBOp94#rA;WZiWpAos4r
zwApDp_!jr*HP2ZagIaA0C2y->@b{;>hIBiC#P7L6t`=I?NBR^wsi2f_=F`>dws6iw
zi#VXEiPdWQ&e9XgNYs`yt~RrUgA2;&m3kVe`+?l;-Kva|1KEz7%56Yx?F;y6ua4Sz
zO|vskmGM_=?EUp%0~zFXb?ZYZXhRG86VR=Um!h7R1k_u@V)I=R2Og;5_NsG_mP)H&
z*ptV6>MCofzbeK!uAzntCncrRm#d(pf<nApzZFy+)hsK_AY-c8e?ETKRWLVd_rJVA
zD@f~<;$P7v;}ElT%1)br?{zGmt(vujz@i6-oF9`=BQwOWEsubhhZ<2QEa8+`g1KEZ
z3BRO2`ln{2iZ1@^#$ydF;qUFOF}iLfoc>z<TR5PKk5BZpmo-?xbl%zT@d6UI|C8@3
zxkyA~pHELCc3OaKQ$@L?83_d=iawKpB>Yt&wOxZ?0qHxhzBh6dJ-26h$SY?uuA@4h
zo_r{PXr*5k=eLnCpHP~tX`zNo9^=@aU;)Uc@2CDgPr~}7v}?sY3i6hI=Kf>}Kx<Wp
zPxl}Ry*FFO9dcC1@vv_8>yLb>VLy5?E!sDzNoaF)lLpGg6Qs^u<HPoy*H|i*WNe+y
z6<kWw#L~GLoyFmNNUzAc)B<W4#`t1zrCAG2@_$mZo%wLKPxJTpS88ZyrNOq)(7~j2
z?d%UsKBT=|_mvw<!N?UGqnq~Vq6@9ET33z_9OcFCEL(N#-L%`IIfRO<;v;T<o!~)t
zX-oSdX$^eg*L465X?QSP>Dc=*9`K573!V&UV8r<QqSz4{Za3U`w{)BbK?!TNdA`&{
z@6_Mb#JhTUL$mhK^jtoyXk8^6-l~OnZn8dEN7K=CTR~VLO_cLf5nU#|+IVzi(PV%N
z13!ACNL>`2U#ilnckOQ-OmL37P_4$q$a4)=+-N>rUuzg?r$EIM2jBdd^PY(?pOqe0
z%ZH4CS9?DfP;ok*b@}2IQO<2oNKqmRK<B^2!qY&*K7X0Qvs>BtR<h&a%x(dE9IL%4
z|AvPA!LINE3J0g$R>ru#7r;&_H|vHdJ)A?ovqJqL2Xm&i|J~ha0pY*?IcVw7@%sM7
z#p)}#$bG&`q2P-JJaU_tsZ~M8WU>2&7aF-Z8h+y$J=zkc#U7{@t!AL6l>TI{fj&yS
z>-X%TTEYG(7uUlB3~W_8YHGhrAM5R!swA4NfWS*>pTCQVr0EapgK7H6VRlISMp;8g
z*~K%0Z%p)`&FZ+8q>m$htN;(b4NM4%$O`LNc=x%z@nRo+Ozlvf=o+?xz!L9IPWM@;
zJvHxKyqrG1sy>)>uD}+CRgMpzlw{+d89~XibS^%am|U#uX$PgNx(a8l*!V#EL{j57
z4*vCvpta4~!8*4hLZ25KeY7}F!sr~#P@HVBKWh)v)nN)^zHF45I+7}7&BoH%yOE|G
zA?z@6DtWk)jZKcvbbNR$v}wo<>&_Fx$)5>(XE|&nk~Z-jDNLjl%sx0U2f$3%WV7QJ
zQO>(X)@cmUG0;?#xW^EnX~$lb^T$}|y?D&K;GQ0)mu}tqb_u|`ZmVsjbQY>D)=AEa
zqG7|g4bf-40Ct4lB4^|?F=KGjW!+LLZg@FO?AZwLDR=2`If04KUhdx%A=JUc7o}CT
zMeChXOM-@WGjPox&3n;OT1be|4AgQ4s1=VHAvMxbf2)@N%rAAEuy^=SV*;>YU4$l&
zLPw>lNofN`3g(Y2+dxzV*wl9Wn9XKAL?h)RtJje6SbwOxd!rCuz5CWBewBuGUgW}`
zZA3gW{Cr3dD1_jYkz9jODvnJyjf}>sqSuYhoj)XnuxsB?ysi}$_biAz*|~*)mLUV%
z;!oJat214XCY5w?m*KVNtOyl6?fa*!PQ?FW`L&PDE3{E8HApwBTp5RUlkRWKwSzv%
zf1y)*w6Lp5FT;}~%IAugYpV3@py0!BUduvF^eeikni8XgU9$-#+&o+O>o}U9&(*;9
z4pDh-(~3C9H^b&0)fPAxBK8c?)lub@=jUS&6>&?CZh+eb8z^Y@(kS6mFrBE~XH=z#
zSEj5RQO5>uiM4j6`>3J3B8__RuOdpz+9cn+U=5X%v6b&~$*77-Tm1Z$@S{e5>1{o0
z(7YIa;_fsFC2AXw@+6fpai~&m!Bs1WTcJGnOE3wS7*0S>fHL;l{3&iRwSt^l;~?WH
zB3`?AEJ*Q#GQKX3`czhF2@l?~mg$K&e$KmjPVpfsSh1Z^?BQw&j$990m$gI;8aM9%
zWdh3E?Y}+!#sY5d;=8lCL~Qjs8ya6jz>$i!?=uk=peFa2YNkv??|12QULICORa40y
z*NCE=fA*O<C{M(j$$=fco<vmG>)f>Jo`}yWt%@BwM7%$wSRZ3e!k+A+kIOa)ptjW`
z=g>kTE+M;FRvD9#to<VPw~PS(?HBG!ixJHY$-y_w)i5CArD<U$A0m{u6<ll~;;gIx
zg%D>7>X-N`wTtpRb?N1!L89L2d$G~gT*Mm>RY}7i_<Sh#sAAu_N<wMlkrCom4ZOU%
zW1;&D51x)_jM<ox@pY`q4cZS)94hjZD{SULDm`QUi|1tQWGM_fxoG43B~~Wk1w5#$
zj6UEHrH1{Awx{^_bTDJVnb&UdJjlJi@{~JJ&`^moRYsxW0;<dW55YWO%-eOMPUH*m
z<FbF{`>A*!e&|H69}fmcX5AM|sbk>5rvZ_LH1v5hL>w2*#as6EuKlTj7wE(9=psHU
z+!U-j8p4ASugIlA)0!B(A(}hjPDlF5`8N|2c|hD1T63SIjlC-S)-5(=;A}+a_xKVX
z^xjli#<$lIdAfGs9t9@aJ6buO{lJ5dCpXES2-8LPrX`&ggG_AZJa7(S@nOufGa}QQ
ziXIUqOFleeVffX^s$+Xa{*qtw=C3#nH|I`W+nB}1S7oZ6o4fh2cQR#+e}jf?3&o!6
zY~~=N!K6>cRRBWSz|$|*>S6xy-UG(kTy%aO+mZTA04+C1UMS6@V@ZsCkX@aKx8uHA
z2a0+j%zMUt>?R$9GD6GmuhYk&`UL@RW-K6elt{H+$H30z#IE5seN^=3hh8qUgt^nV
zY6GVkc<dX*SQ;4M6Zbvm#J5<%+xVlB{h3TOYU#XV?PGvjW0rim&aj5leGcoYM7g&u
zhuf*O(*V=h%Ex<#tU=GV$;UXKg=az)W?r}$ps}p-R+sxW;OW^k;HkpK0PF4*-v9K`
zL`Gg_`C(f)BhlUyx08+1d!-*s#_QvnzxVUMIorWoX-?+i5;orXa?m)nkBbHphlZu4
z?LoiWB{IF6jeb>sMi<L*@ka8dn9Oo}s0=o4Y5c~<UDrt3$^;H-npM4dxK0SgYMm;x
z@7QR(ueQ+W4+|e1$a|{wMF=H{i!XFkvhjwq%Lz&i6H{$v_v{ws>hI<JhT;QkT+d00
zXGSpa&t8|UM?|?DTDsOHOOK6=7pX0JG*RE~r6gR50T}(UP0Xp3g;Aeutwx{Huw=L2
z-`q@q&(R4bf7vYLjz-KOiMXXcJF@F?4nS`T<x)fn6YFoMhJIY6gB;~qImc{(^k6H$
zuD1+q&(|Xjiaa_^XRpc9M1W=a)>1n;3}nWh;lGVi$J@1eRnK+-sJOen&fG@FYP)tz
z#m#D{?sfUVzoh^!6!A^>&g<d&c$4*8_L1<l;lwAp$VaMYq>s#Nr{TSnKPeX*RZ+b!
zl_2q22zhEA(??`z*qAa-J?BBdmL46+`~V?XROq^nI#7|A88UEET?P4E%Q<^S?cwFN
z7|q51bTE^;Mmm|Oj7tLwwjT?&hXm=^+>MFa7_YZ>k8y$`ivRgy)--4b40*w1B2x>m
zF7OwGFH*p+nzQF?eC?q6-0l3>P7UmgJR!HlM;;$d$9uo*vITSHA66UAtE1hurKj5(
z<Z!~f--x^17V=EPujWNjP_<x)9}p#n;u8;~DjwNDdBUgjYxb%k<8M~^({MT5-Wy-<
zX>9|sda2UH6f)9@?tKfc$)Qol5rr$atRa2VokZdT5}p*xjU6S(<H&`<Vk;wSSh}Qr
zp{oQ5W$Sk;XBWxiAFXRe@r72v_~E-F+>eL@M;4L$!xYd~$8yhieJiL-rt4GRsv>Jd
zwt==)5x06J{MS}&33txUpQ;X1#pfC?YvcAS;p5|3zaj;eP^qv=s*I+JgthzLe_N-F
zKe~&P&1)^7zQF3G&nE)%+PZ!%lu^N5MvJ-~S6RT#jA9c~Edgy7jTX4otDsg<spRM<
z0kDdGq+8x0;LeBMTN<+ncx;zbU3829u2uGZ6jTzB=$2Y~IYJdVD#G=kD*)RCC0Z%3
z33y|1;iWkNMD(HV(}{h=hm})Hw?2_m#iE3+wao1#TyR>Qk{!ecGnp4l53N$gBfRE$
zzWd2oO70E$tj!0jbzh%`6{#Y<PPvD6K@CGb7}d46^B~`RbonMNBJOBdNpESV;2#fz
z-R;MD(3<S^MePC+2OXZ4G-+wzzrOn7t!sJk-JsEFKc9q_&BL005t=ysk(W(m@jxqe
zTi1VYNO+|`qpaqm7PiGD&)q+54$HGXjt!n8qx}5?4c&e^SXo1#g<f;8>^*e(S&$n3
zqSJ>r{m~V1(C<F2r{=J;Gb3qgB?TFKe2Y7uQE^LkPgmOmb9j7P*4W8e9a-yBlRQKm
z^ugs@jd_JRJm~mgxMsBmCVm(X^GVV}!UC5Lje2u9-fG%i8?1@n_w|l;{zpfvyps+)
z-kU?yqN0O+Ia;`TxWdw569Zo_TF#s&$Afnp*4R{vd_gf>_S=0oCSL0gzWK~i<Q*Cj
zoq7hkc+0Ud_?-g_=|7to$CG%lpi=c!xf2zA)xA7>P1%_9XXR!&QID7>*4MWDp<=7>
zuZ*Jx2YuzX|7mdLLw;h<@1#;1{*qWztUJj;d$A)oS@nFFkT_oI9jJ$1hARcrO<YWl
za~d)65Ws;LqWe}Z9Sa(>Mn8%8{L<;|yEA_ZU})#_$o&I!EITH1J!8HBHqMXgJdtMs
zs?wVx^v*NT+oVId_kjU!@OY>8Zj&VpRQ6e&6ur;>vMN_H)euvwa#GG2TEYD}Sw|Zu
zm}tDTs!D%@As$H_KD|KF8d5#e9MVs*FxyG4X<m>a67OXV-g##YZ$eytAE&c%i-v#K
z2Ny$h>yN%;^4JE_mNsW6=CDydF7vq69|Ih0Q>@#4*%m&uYHe^8=U~Zn{2{qr2B=v0
zS@8C-9qcGR*D>qDLAy$YB*smBTu6ADU$Dj=+{Fi!`1?6HeA{uJ#Um~%#|AH-(h|b5
z2}+<^s_1)_8*cBu%E6=^US0t$LU7#RAQ2nG!H?>>k9`B!m@x5;a)1x;bkUN1Bo7X{
zUk^<_A;ZFgd`lObJph;ej}ExVaqx5Ru@B~%42%ihuF-rIpxk9-Wl#YdH9HU6rW5H1
zXR-u|%>el~+uj`!^+heqIC=D#h(k)Ej<0wJuqr;c$?Yf$(|)e~r=v>6Z@*P9?)ePx
zRkkce{xuW5)y%>s7i#0@v6EZz4S;fU_1+C4Kk-fZG_xs90}}?hZB9)96uTD$-K7lt
zL7jRwEJH!xd*^8G*8vQ~kA~Zd?yI8a=0Ia4VG~g(7Z3{&Y)Uzrd{Pgq!U8J0@2aBb
zbfLK93V?GnrBg+BXm~Tkqk}T6g0x5Slspo^gGa0Q6CG6a{^#S^w^hXL4LfSr6$#<4
zgThqfxGs8A#{F*FDxwqp>6;#w5Gw2%+@x3N;7r=^_Fk4e>iY66mCx8ioSgEzKlin;
zzPU|}b4V7C2x1?OiF&+C{O)(6r6xw`$!^=bPzKS=<jwqWJFs^M%usDn$K&gD#O(Z~
zaqO0NF7K@^$Tuul`6HTwH*$2pfA5pRcL`zyJr`TBIv12A<En;nRB8Er7p3sR&aa=o
z-m?Lzao-FBo`~~HKZb6*EQPYqO4l!Ai0<3!2(O!#BoqrdxQ6yc3MD<R-~W8V8p?>Y
zm`pDss*E4GBjzKGSM|gc1@o-o+W6sr38z%Cw8W3HdaewfcvMS1zuyWrl-`mTA0^;V
zZ|~UkoidoTVvrd2%Mvax9qV1`OTZM?z7W^vve;j0`t)CjC3xI)wzxg2g2Ee>?Z$(0
z7}<O7aLf-2$VxZuTzN_bzb^4^ea%)tK{4ls=^hJszkcTCS`QUe34r$3@rt;u4EHbj
zCxFn`C%h&MRPd9Ge`>L~GDe<E+$EMOfZVYI@&Ac>dNA{Hrc$diQu*e~PKff~#Acr=
zNm~V9H<xYFFIGXleUvF-86S?gh-WPpi1x`orr~;yfQ3CN8ZPd9i1eGeeAG_`pEJKP
zznxLV?_%q-#QyN0cDJ-#$Q2cwAxCEC6cTYpTS&iqfd>nTTRs%esvx&|#YLrN5;`sz
zxL&uM2M=Q^`xSQ(&_uoR;KV;NR_Dw<%bUXk*}#2AL%tI5IHlqXaWMt`ws<b6sxb#C
zito+(1FG1$`eT4fo;qHeGFo==h&fPpbbr%g5OIa-YtIA~O>FRqnCxF|4iYi~`RF%9
z%yiMw{+g+UwD4c+X!_=`;95zhR0#>+<^_5DXQG3Fyp6t8S#vOL4gdZ8I2q?$Xx~EY
z*TpLL6+u^inSs7VjsHNB8m^DMqFdTZMbDgkvy+2n;Oq6#$2p6F^{X~y3o2<C<hki{
z$B-G!>W{kimZ_tW<o8AWrFuvf2D<K?HiK?j#2Jqv4g9L(=#W}ON98jXD||G}!9{LO
zw>eJ>Nu4=ct4bN@D;D+o(PDF;hnj2NNYlp7r8{*)?lVz6Va&HM-W*nkeL0>rse>}V
zKc%bIve5oxWQTf(IT)rHO_|tG@r853)`N{~3=Z49QQU$D8%!Rh{{BZrdQFFM_cIPQ
zR=R&+-{3*xtB##cjWlEl!o#nMykNI>!yJmp*H)!iSnfQnhpe0tzlvM>DC@LgRJx51
zmsqv8HV4qLu8ObfoM?b6J^z$GJ|qC&d87~J77VP63{R3;Xo%OvK5tE3WC3%miEagw
zObnb*clLf`h|(soSW?RpZl`U``&rM#zNbsypI&K%+eo&)isDwl5+q4*;#k<`@+!wG
z(+D3N&D_#5W(Dy}k2)Tj&&ED(s{h*pBRq6*zRlTTYiP4p-=zDDjacYzk+|OoJ2%$z
z=MLMzsXek>t<@ZSk`h&CMK;0?3%S*k-)uqh;M>OPY7RF4uFI_3ZHP%7inAjh?O;XX
zy@^64E^3DTm$NX_042x8#<kn*p|+seSsJ)_`j1|PVU#{zKHM1EF3LBZICe_;axS`C
z*4=gIi9G9s(Jo&rfGYx((u3Aq6wGVzEw5(dh8M;S25A6oo{?g5l3YxkmWWo=XW{4T
zQ>J@gioD=aXQswA4&Ix00Su!UD8H=UNm<$fnohZH-D1o^Zr8|NzdAiU`1VSfkAVY>
zm5-apXR^_J@YJdfWg7Zz%pru?iPkp>lLy|h@OR|t^7IBBT=U!U@`$|y+&Zhe=#Ux<
zFQ&zJ`<>Rr)MGz(4w*VY-imh9Dr+XLm<X)Ha}<1^E*|!o=m2NZxc-K24BVK!e{T9a
z659P&JDNEJP;svB>c;hS+#P&BLw=VkZtn|<ZY&4zSds9%e2X3)xiMfXy+{RX^$(}7
zjRM#lw>N9`4jQhVlcsUGT@n8W0096043~F2)n6FL?Y*vb?LDt`U9Qc2tkO^<MM^~}
zg|bpaMH*H^OQ}?3lo^Vj`aY=?g%TMdA$zZ~fBrq^yq?$doYy&@_vhnh;Cph#9Kb5P
zETuVE0RyMiT<#R{;-*q3rso3;sJq*2G07p1d@47XM&!8hyKC>_O=kvVMD}0$YAlQ2
zm)P?8ggDWAeZm#p5-TW*`;d|wC5=6yI=uDa?C3uD>2j=?6>zyr3{7-OqLjKx<wh4a
zT(}Y6xjDoVSVVRX$a+Yif0Fv_#Y9&8wB@E#cY_7Ec7Jjmo)O18w5(8OIaZV^Tpig(
zvw-=%u2(&C#n3|YxE|923!dhE`!6Zk9OlF}eeORmioZh|UpJB0>cp4tRsCxQTP~e?
z6&WFd0;HEumI7Gua@1zg2YbvQUvluq%d5g@ydiX(%0E`5yeOCO_-G2HJe1MicO<-R
z-FiYdmkkx=S`@MjP2tPVl5!<c5;}TbmQ%XSjuWWeff**yXaBv_|Ev(&AK$u1;t~gP
zv2=_6kTQXzN~?o~oI=PIzLlYx$%)xl6kd~V7=!hfd82%1LELxNlFaDkLR+?UtGgs)
z2xgVbz4t)?`wrNqs9NzLe|{JFX0j3JkI!6G^%cMik!~+G6!YTYX$y8uDI>VuFii_F
z6F?eMUS8=sek>7RYB-ZY2Z2(TH$BDzDCax>V`)|ZQ|kifKGNy%Kt3dacb@<b@uz%G
z+AoC0q5d33pACUqFC(t9aP1u9Lq^3;62?uJsdD%jg3fq_qoTGTj(KQb^Yj$PuxC;M
zksO8)E%V$hx=s*Bs%5-=Pl%v&znRbQa|6iz#IX-H3*q^3yG#9PqA11izWmJH09@V-
zq%XV|!sm<j^odR}6xeLktHy7z*3T68DQ6PO;!4wfeKNNB^?zvkNCTfLk=>n>B$UrM
zvy=6%1m5IYK5HFEgA1;ChrFK(<JpFcCV5FId{yS5&*4e~WzWg2+m4B#h3XZpuldsG
zYn*+eQG*84|Ms;oIf`OS-@DG&p0YSE`j9)Ag9cHatija`F_eC8+qO|n9)%>$xNuA#
z9`&+xusDe0z~S*Six>rrb_)4e*sTvujRfD^K{6Vi;8Hn!MiK9C*Bac>qYwP2@~90d
z5*QepTqko;2@R&$y_zQVVfyvwGY@(su|aTH?pTU4l1o%L4hzyi$|op8(^eXzHe425
zDON#G!BE*<mNckzqdc8^DTA)3-~DWFRz;2-f__YqG<Ze7YpHH6hoLVvbwsSHVQ;xC
zUw%Ce1gcLCdw0lVy70z@YZ@9T)aVub%*X)pbT>-w|Db>dX<xFqwrV2J?s@^K7X}cS
zd}U$#6Gc=Kd%tPapMow6B>sMTL+E^xp4V|f3B?-cLXV!&!Yj7hHsp*O!nTx)c|ZM?
zk+qKM+<00Wd30?XFBH(Bm7G{n>Z*bqd#t{{^whyOOLO}<FBw7Yqj5=hb5%^*S?VY%
ztBWRuRz33}#_-UpWST0ihR%E3W*_G3;w^``QpZpeAgzutnN6x;`NPa99RWS;=sLgj
zFV+<DT;`-nW$I|(vSOv9uZOaejL@OSW^m@3m6%9?23C$Qlg)+oFjX}1JpV^?_%Ybe
zb&*#Sza;o%zkaTZexBXt2S+Tx<nWT}_XJJsDhy0Jv7&=o1Z|TwpA{fk-LPy_6L;k8
z`#aC6gJHuEks!~2{y6sVTNDb`muP&O`J#m%Ka`2x5d?@J**QD{3XX2<t}xiXwtw1j
z**Y44H}814tS$xry>9l{o2h|}nc&RMUI6hK{j)Jsnz)<%T{W;l4HpYXLNw^spnIOZ
z@k){=o^FcyZ?szl>;IeVO%1e$0(~`BYc@?xr>96R^(o=-6J^b$6l)0EmRR`T4h`Iw
z%zN#`hyp6>-cnV}wFa$rqt7yN>gaRN>7ELc9EzVCFgIOWUtJfl#qx<7&RunM@pYF%
zInI(^*L&8$?{oWLK&C4GF`l@}H7CCIuOGZVbjli{%z7dWQ&sT7oX<c|w+MPobdaBH
zu!cfsx&h}!Wen2&(Y95Mgj&P>?ydsXV0-^fu9UwLCfw(I*?gHFKW|(w@U|MD-NEIj
zp^GA>n6xLpkKjhBjEPq)Q2_e_H&kA+RKPy%9Mc+U4!pR1Vt7Rxphvjq-qpQwIH26z
zOWMnd+l@zZ3kw)9H-2nefx8Um_HOvjX2OiqE`M(SVqw4~Hf>}504Xd`e)v#LZ<Ubh
zx2}1&%?iBuJst0)NuZjQo>F-G5)pOuKD)|eO9(95809`Kjyl`V@f5o+65F1+=<S`d
zfL`m6!1+UBcv<d*qjTH>;m=>I7G-Av78iHF&|ek7T}SPUw{Kq{)TOTK+NGF7O5deg
z(K2Bye8?n`pSD1_Z-H*hNi#USGx#y}CJ7loYUPf2EE1kq%?#=`ukmGIa4z?{5YoSE
z9eWzQMBEhKWn=o>6zpSz$*ubYv7pBMLd4Hy;?-_<O0J+Oz@u1x<2HUgo%t~I{l!(H
zEIE17A<P7xPF1+4Ch_6^0%n29mrQ8!BV<Ui#~6+Z1=FP>c=5N(*2Ib`W(-sMQoG*8
z80=|H37=AVP{68tiaf@GWq)@5`1sKXss^9gwNG&4RA<+~OKmnRzc(q94@PizZ$;Fr
z5N@PY(EY`t+0iFW^C;gNI=J%PxwWXujTW_AV_n8L@N3oif=R|2NB;bby~M(eyZhUF
z)q}WDHt2(8Xq6${YrMB5k&7Gec9tEl65v7KTPoc}&V~>)vi0u;BW{#^5xl4V120BB
zHfE~*Z2(Iq50h-;*VaF_U1p^4qYdtVHhRJUvgBHCceC@LJL$*+uXsVU*gw#=o@4-~
zyAEhIX7He<1H-_(UI+(bn<^v<X^>i?#N2#@7vDeU@FowF&`K|in!SStLF`qrv)lPl
zQ@^FwPD%uw6-)xQvd}=pLYFi806#7{&-Whp6vcAx;I8Av`tW5#`xxo20OoApWUo;s
zh9@Tv>7Mu3hXYrZhr{Ls5#p@4=d{S!yJQn4qN@+wHnM)6uZ7UH;ee6*D+!#9`LFcN
z92GX5iH_yHLBe8NudJ7Qr7&RK%XL<ts4$df^K<-+Fq(&qd~#Hl!SN4shYvoXg7#2j
zf8{w5bo@T+BE=?$_43DFsa&Rli}A@BtGlAe-JY52#jJo*J)PSU!l}SF;-pTl5kvX0
z=nfQAM8U`DVYMfzAZazeWtc?9mGge`Gulcx+2IW4u~e818D}yLlE7l_;mLz;%6K~W
z+5Cn_RCvq3lD1)35;cu>hqGQ&!IRPU=Mw6u!1AniTqaT)-|{p)RcKPhOQ*d0@&xqZ
z&d;fzTh(RpQeaP*o6?#dyR#qm_tuBGMW(Z>19F&IyFcS-s0K2hO8s)7P9F{(ZnWFJ
zPXU|Vv$ExDG|_r%3v0GB4K!~*>}1}dh}+{{I4eqP;ko5c<eg(Q;Cg#7Y{Eqe>)<SX
ze7`pKM5UL1%rF4YCp=EfYkgNc_%?pKrGxnn?M@XZ4Z)&BqC9G^3VPLZ*bNluVw-V+
zgYzLeJYT%gC3r{`#Xp4!IX~6I_R-PN>f=VR{A9Poiz8~NJ*2tC+=z-|ufOJaBpXA$
zu7tq5gX-8jDMq(BO~qb^+VqvrCcp@Aon?2?z}vg%ds)+{SX7x7yGh&(Mk;28>a{iT
z!bZ7Y&8bxMqxVG|^D~D$r$;dcYaB^9y?9FM7!|X>P90!;w15=}EiJnw3T|ifPrfZm
zMa_m^OULD`Ag0#H)`v$6U7mez=#<pM;*_%&mJT!E_i}n>=58&N6LBAV@j?gZZ$0$?
zwguozN@0}5IV}wO$9pk+MGNhtFQ`<t0&p?ENstQFLLZS_3kePi7APu=pK!K@^Wq|6
z_l>nM$8w^wxm6v<?`}U@Ut|piJgI*zswt@T>~5V)yee+)t1)`NXbrax&q&y5Q*d5h
zn@d$k8NG)*hmUF5fSd8_l#2&6k^U>U<lHv}WCfm=BpVw@+(~BA4Aa18n%jMrNwR2R
zWDz_LHjviFX=-ys9j!dG?5OV~@Tg{Cl_JFk&PEiUy<n$?=~q9QQ@@C!(9ds$E=)FX
zQEkViZa!7yO7s^X%t^TIj84dzDr<1nO0HF@QO2aq_xr>Q`S8_^RlCA7*5H}6>rQdB
z5{_-mUTkaNz|X0bkDGL@VeOGqJS-HkIi5Z@zl8<+QYfQ0e*k1RuJ2|1lgFp=b(QTV
z%Y@R?kS(^S02ofy?S2WexbEP5_~Y$=i2}(aa-9SK+4P9woVhgqlh#}Jp?ZqY+@<Z8
z=+A(F*L%+W<(0&ArF8L*_A%nVrGZyXmKE3)@+*^=$hhC_`!NpM5TUd@^-<%GB{apq
z5>1v8!w!2!#Dr}>Vdp&=xvXpn+G)}axw}PhYh1WEN6jB%A?Wr5-NynB^t{I>RU|a_
zz4JCc<`1E3II!o~b90!!lUws|rx1q9H23M5^bz7@(;1$%{36TD9bqBA=JPYE=XhWB
z6Af_dnAJKn*tfjpok0sP+P;~qwf{Lt=$?AGMe(jFEO~r>wzZiX&EjI?Pn;VeK1|=A
zFP$<0tE{-~c@kWh+R&ajb#<J`)GOIOx77q>vV;EF+~L6A)E-UNh)JU0sGmiBp)pt;
zxy`oZ%#PQGlz&J$PZJ_Kf4y}jjG;y_hy2@`4a2=p^jF%?5+#(R<<)2-P!n)wp&Vev
z`*kcYhh6^?`<)_V^rz?`e?_HZYY7Vmb+l(`o}DLzniTqr4$`5g_oj&?jRjka#??dL
zFA_FKk9mZ37y^6MX_v>%%qYx!Lv2QRg<!Y4+7s$-2$32*6t5?1{F5nk^l@UsFUqIi
zWw#nYQPzO4PBJqd;So+<eZY(Xo%aWXJq<twhtAV8m{CiWRFS^Qf`UC!yGr|LVBPpC
zmbZl&zfW6nUkqWxRF)&egWxs2vYphtM`1w@3*n=ROdQz2O<!qeqd^PF>J%lF1-b5v
zp3=|YMEkDSY?trqgZ$k1%nof<tk62)TI9oxk3W7Zt2ESy(CLs-;h(Jda3uA=mi4@N
zfOA6O#dj)P|Dsg+IExJ*6nrTc+{}+V$j3_)!>GU;*eHJYCOeL+AB>+pA&A+uA3WC;
zs9^fqY_a7r2TG=ijcfG@p<gmONI%en-Ns$xm%edgnnGR}Swk4>SzmfoaOlD4JE3$*
zWo}ed|7y1>Mg;2y-c0pJ=z{dVy>!bI9?X3zxcYlu6szs;zRF(FfsBZ>^d34N3aBqk
zEhdViyw*sa)m0tv5|fmnFY=>|cY#ugwFKs^3eU*Ubb$B8!wYf4f|w@aQb;CCVYGw%
zmW4msa9llfxR8y63%X~rxrJnK{a|THQ?51?|2~(Rt0jzbEOWDlx^h?*aL{r!UK<*J
z%F6TjiJ&1y%Z8XL;N;lS1%()GF!^zFTKJ<V#<rzh2|K2UG|pyAyIb0DV$xo5)lwX9
zy!dTHEmK0*)Q~qnKWW2)<`DVUH!}8rR?ne|t02>3>Xo;0I<VBWyCXJ65>@{B?edRR
z#dy^JW|X=%uiHSSpNljW@9--pv8&^u@qVjTdtEqVAvb%~S{7;Mv-w-DYv9-~)BGd_
zJ&5Kv4&CS|k9_ITFH|%sxSxH(s!)OoS!I7Llgbrv$LOSj_IoW9Eu8hqdP4=l=6frQ
zpNeQPLcg+aw+=e5>#UAEuMZcpxAQk~DC3=|dwz2Ry10h`CS^Yw#5%}#XPK$sLtVw-
z$9h!Mx#{mVwC0NfWCfZnf>n_v_x+K>tyBy=F{EymVF(!`g=0$3)$nn_*wc4M^zpT;
z+6SXKIs}S5k(mCajzv?`n$qq1*t^F=`p6+;I4GnS;>4wimv_Gm%2cJ{{FSp~!80aM
znYzV>O^$-<PYYkqGidl?r0~zTTW0Wfqv(DE$u%B*6O2q(p`jzOhx41g1>`>E8ZDUA
zLhH0i%fEH{NZ<Rnv24x~cow_b{2pqfQIW;BQVV@tziFqq?R^GhtR`>%C#8c5E?o96
z0;o9S`|q^ct+l*x;K3h}wcNNdGW4NQgD$@DZNQ_Otbx8cxyJZ_4ra#tRR8hO#@F`8
z%i{;EVd!6JJ&TqO`mVblV^g4s<jrp{;b9wyf5TdTrbrttB<UVjAJwo;PfWS)lMOuZ
zkqV+OYoS}ju3I0fl#xa9>9Q54EiAn=Us@8>!isN&MZVPv_;p33##hA_9H#eu&zRIi
znM9Vi;dRpJQ20s1M#&b6&w6<T=V+jRs<p<x!{R9OrP`B;%@#NV|8u!$tB&vPt*h0F
zBBAGpb74ibHjuHj`O2m$RV?Dq&bny7=Et|_?XQWkfiRaK=3#Rc+->HR-u;>d8IqiO
zWovw#|9Y1D&vPaG@q&uJpZ^ggiLj@S);P$QqPBKvirD|SWb6PjLhL$`QKjl(4NFHw
zh*#$FSn)DvQ@2hF!JHdd?l=tK80U7aa+?e~iPqdBox01|dvn-3W{r10{Azn*lO)mS
zB-5^q^NkFVk8cm9asr5yk5h7I#4(fGkUMkVZ$@QtTzabx15Wcfx%6BTMUCPwn>YRa
z!<dN6TPSz30$RS=ZW%{m><$Al$GicCi{<<Y_EVM+Q?;$3%UTEnS`wUh_75_)Ypkbx
zWm>=%`v*64YWa{y+;&3c?;yj1$;?`=-5juJxaV>(H&)$AsK2i|$S@W;yJ<by99&3$
zi|z$+V9xc(!W()0jJR#2pKsmPd{>)Ako^Z%Y>i2u?W+94ASG-?_cT)|&8!dmd5{^u
zoO<#8@#P-I$cFi<+EEjr=e*qdEp>%xdz%<^Rq;22@V%SW3?^{dedT=h<N_f?lN3H~
z*TJAN*J$de7{f}wfMdm*zl6m1t^1wLS{N*{z8bgZjDQ*~_)-7g3=x0m_u)m$?+k^U
z9@EcmM&J}aUAZB7idby8cSQN^7slQ*87?;nIyj!sIo%pNL2!5fH4k)u$GA;UTHa9T
z(6lah>tezvvG>?QYu>|RMg~QFgUnq+xa*YrU|q@(Ve<0JQdDppqvaR(=V*RI2uoUa
z7f~D__|#g|RIcO@8~f*OeK~Ic>avM(k>Y*C13uQ~1lnstsLsj1d6foJCwInD{d<Y8
zCEXPRc2&f?3+5u{qi9gV^d{a#s)z9MZvHY?TuUSix^|T?(O@50%05`Mo2ZZC*i?VI
zfe_u5<hkvFKJ0C~cgNS|H^C|-`k#^T55n!D;1USxgI;2yxc%2IV&~6+*}qR(35nsQ
z+9UU<&>+a)OpWa#zH;0YEHm#QszOhCl~btTdnoqg9{(;Pvd6fyG_Z>}#j+8M!}Z`#
z$NbCT^Ie47Jsr8MZQVqxke>J7bY0NIvALE{T}02xwBkwoUgD=@^W3#29cX$q+&gOY
zn}DBvsw+-?#N<11lRjP@NIBJUG{5#YA#ROxhffU<PP=Rdo7QVXTzu`Qb3!-qLP5lk
z`@;}XUMqFN{<0Q?rg{Cy3+f@_H<X#In2r*rvfC*#Un%g=_<Xp<xn5#JuH4Z#o#Vu#
z8M)JTG89;z@HOWu`$Jr|p!^ouGf8BKari&?*8~ysykAAq{ls;V{`pUXQ$(n{FWb8J
z8X)|EMfBLS0V3+8iA-S143U;N)6c1(0qpAT>?}uz2=k#+PEN<?h+F$}$YW>KVV3}v
zvue+p4@=)1!5RFINXxy@xX`BtVv&St{>3q3%DwJ-+S3I>@7jTK<85l-^1w_u`@{rs
zHx6&y6Iv$f?$nT9R;ofCbF9o<^(3)Csxeq9T_whTU%h(ML>0bC^-H{jX@a|XL`2((
z8Tn#Gq?cZ(Kx5gMj9upp(akQnIyK0GG}d27l;|oDaBFvu$J03?OF)ZU^_&fbw<i2@
zu22S&RpJ?~`~L`s;A{N<QaNz4;<xbN24$Gyi>TP~ae-*@G&i>)xNtvZgWA4MB`8p_
zUuB{!6VshC%AX~85hjgh9mAF25Ir{NN6jiB7i?RmmCug~HKJ|-a!L^D(R!W7jTukn
zPP>}g31Om<M|SpSMc6L4{C(pD3)(V&bGqI{!jB4i?`2~Y;iB>bv%x|(JTqauDt$!+
zs|n3l8tW8+p2WzQOXEOyrD28G5HU=iK5#5lToERwm9DnD<wDjjhSAf@WaPi4a+YUK
z0nSo0<JU{_;?3wEv4IVeXrwc?!=qmTN=Nr`ZG6s;=E^(XwXNxBt>E_09-|7NLjAHR
z3PN~fUEJjt0`f@y{E+z;uOb{u8%)=)CE@#~h3ge;iujh-SIcItpMBS^d)u8AK>-(@
zSDa6j@WT2Pv%QZMf$3ENufT3GlvSkwNI<v0H0pb+V2*OsuNqY)n0hjqK=CHy0q5*L
zC+*ennBq;o9nDI>7NNR0cv}*46fW-&*`R^tsdnGLy-^0vMY%mPOVU^u5XV$|l!E`w
z?RFFRqXN5|;*x5w%As}k>9M42ZG6A&mGwIpHFzc_zxQvB0`i*wk@&u-i_v#jDLce8
zphW1{+^mWc%DhZyJpY`EY7?@v#|<fP^6Ad6w~Cd~m!*egrBxsMZjB4O{ih9Clsd@|
zJ5-VBRZj7vWg1o<Ubk_wNDrjkhc7jAsH3Eo*RF6rLrlAEwC&YZedtv8Npg6jfje1r
z|LvSN#A{yOS9YxF7}K=WP-F-NDfN9VswH$R%Hvd!Dx!mSYG!S|oHq8m*ImfbGs0Z%
zn48%mCh#VGet@Mw2g__D%Raanp~@xRU$5?)!P$7BF9U1&+4oe{O^T8cPH8cmA2KZA
zex{)N5j84y$_3U0o};7La)f<q4+9DpLJXg*<#x4<I#<IWL!7$4lfrCb4G9JLD+vQs
zta;nFT>h7a8eXv_&koo?Ph`x2a5jCEa(xl<PF5e&xg+`R9kGSqrJHp=kF4eV|Dbbj
zTnE3U4W^V^*}-a|ZG%tRTK!9A|4i3ZEiol`F|^eVvQjr{jw?{nw5cn3@}LTe7PvOu
zGPZ~6m<%neKe{OA_$iKND31%K?deB%*~4Qlxw2AY9W->At&fux$4}AilE&-p!J&=l
zAaBsZz(|sCRt_)z&E)t>=CFt8EG^w~iY97<nT@o`0-^OaTctS74&I5D)(eiQp;I(x
z&HLV$gtUU?*sOvbY*T$*9Q;HDTW{z3Z2msQ=<nDe!gtjc1U5aGadKC}U1s+Ob)uNz
zW3y30^{fpnae1Xal~%x<))nGLF((|{bRgB!%?9i?<zFl7m&Tb?ZPlzTe9*?~mf==m
z4H<^90r_h_+_Q~s@yazps1s`Us8_Lu|8h1RJhUQ$?f0sbIJ$(O+Hue!D;Xe1@u!V$
zun-DeBrBedC&7Bo{kwm01Bi|qap@o6K|8sCb=7}JP%y1lnk>kGR0q#FuTVA&i070$
z$1V)!Zqt>iQdSV3_T;uNWrdjfRZloCli;|L<f4M1CFC<=M7ExsAu?4WjrX^c;K1o8
z7K$Dg;J)&EIy|PI=zi9!_b!hFeLX8q=abAqCS55eBC(!e`*{B7bR-F!yu9xl)S7{V
zW~P1E@lTAP{<lLLoJk-jdSs8bxEbg$+~WkYx*0!eC(OKcNk9&~Rd?yIDVRM1=b4dF
z#=e7(hQlRE@L-+(Qp`IOXgkYJjPcAcYE=T&UWt)FZ$pz#xS9!kNp@u!$oR)-@DvU3
zS0%wl^RmPJSB)V;{yNLcwk3u_?&iOnH<I8{pdQmf7Gtp7vO*N@VFIP9Db?gy5>!3<
z+x9fv2z)yP)3#}|fZnY8V~rLP7_HmUcygW&3KWBynJ!kSQJ8RgZ6gfT2V6rcqUd10
z`D;l*G&>Yu{$SVfK^VkN`N$sPp~I2{$2lGePOxw~eS^tM1fGtxm7h&DgzB1Ke#=j}
zU`O(7%`LJhba*LGDA5g};U)-h(RqMb;$5^rzbN#6;;lT{XaKF-Y=TTa^1}Gmnj5WO
z#o$!){`@!L2EY-0<+iaGKb*Igk`HJShmf!4+O`@7pgm^&(uGG56gTN!vYREtIuGx_
zLmf1r7SluC?-v5oF}L##R7o&<7;q)+E)AYV9BX~&K!Pk<6GzM?De#KaEIPT52F`u=
zZ?u~W1OLCEv79AoVAhB~eN~SJ;)6ayX%-?-UCyl$o+t~e$A$K$anYc-C?p|bvnVti
zD4iHElLw9C5pPe8=!2Q<Hr*0GF);Y4>F*S+01K54wVdtxAoQYm(&vFVWS5SoPJ}3e
z$HzUlx3=g5yK=8dST`B^_g3u94^e_EYO$`zy7hs_QxKC(B_Yb2N$kp5W#~VdW1PCE
z52Uxx-teYNK|<d;J=NPPkh(9<M^2RnQo}<cQ;ISm$G*-jrc@Qe{f3h_uFbW>voXA-
zNERslc|r2+YGBbOA9ga22A9PgXBu4Pp+8WV_>WBkgjT7SXN3%4`2+K@-17<`AF+Yg
zSz8nSK6vCgeaQgA*?d3UJ*Wr^{{<v3J5r!?B1}1uYzY4Y0096043~F2*WVw-?Y**B
zwvWxn-rmOw8KD#v(zmjHNuiQd3KbQKN~J|9N{B@Gyd_1;%nFIf-pb6+zxQz;_uj`n
zkJmZpX|nA@sD_gqyfj@nR{m4NBUwFenF>8LU*@d{F_6a<D<1l6e{~ov?iI5>p%2M>
zhg(Nw6_Bu^aqzO62I>_zY9+cDfNs-k)_hJyFm<$xW{7Fx%<u8yX(K~Kce-@iOex~k
zcodI+i6%r;_<B+ejo{5e;Vt__L0NADaYjxHEKx^TZ`m0`DXeu*NxBjuT)8i=x@&<~
zUiO8=eiK|6c@&%Op^UUR%_(LpEfgFrdZnCb3X$=Zm0L^7$bRR$C3Hj+50##8?|f;7
zzb(^itg$NCA~3A$?VyRZFdwJbc5^g%&hbT!t6=n?`h(X#8b~!eSh+TBfwweAO(|Vf
zFl>KGm!zQ%pY}g$+=~SM)6|(9aZ^QxS8TOhxhmAH&Zh4T1MD+jvG&`kLgm$czY+lz
z7<7s8#CHOBL$BwX2&#gTnY+pdB~Up|(?@GrVo}>7^-zflYIOgJ7r7{+yfk7ZHPjMK
zJlU)cx++*nUwpajEDw=`!y_|yEb%bDLar)78D@9>eUo#Ng^KBuxzr*{grvzCbW|yU
zWoB}X_Dl+-+ATrL*Ou_yvXJD{O+hWo$Fn=8#KF~YQ)=H+OWd<k=6c+xh(n$mHpEAW
z;L=J!<KRV0MECi4*|sTQk8@tYHwQtCt>hT5?XraYx1**Fq&y1knkIfkY`{c|q6Cwi
zB{rSRe111e4syrY2>)enET@h?-P8k^xgKA+dtMe?oe!d?-m;^TznypfDsbcIHCg=-
z83a0<-G0Q31tuctr&z3jhuw*Ac`b!+0ajl^ycu!+NBrJBodjAJ_OYrym4vgf_*EZK
zdKCSws;*We@LFfn@Z3vrC<MuD5-9&i*yqOQB%QFp@Xs{;LtUbvnpus(e1(XtZ!>vN
zYYv)^sDOo{2#T{}9#Ybli2s#c>IoDvM^|3!A?{=$+&JA_?fH0-aQ_z?M;BlQF42c&
zMH>aNdif03h{qzqz1W(q^Trf6j%ao5`pS>nC_USoxJV3+P7GYzV2YcwtatA|*nktk
z)WiVYC1S|5^GRZ`3Cg_*=jYe?@Y3`MYrDxZ@to~L(w;hF^aiCjG<))5PUz72<ZCO$
z=FiVxS*jU>iM>vcv6>q)-`P?=YyTs}vsXD?QjFl~eovAqkPENnPo+^==&-cy-D>)>
zA^zTZM`^d?#E(jU9djOfjBL{TtQ%wqg*lI1=XP`8l4w9(t|kMTise63x(#r8ifW*c
z#SX#3W-aCej4(T<*%iIb01{0<-!MzEqbx6FOU6qkSU$3`wQbNxKTX8=c@-OmFYKN@
zCc=WZhQ9ijT=gMtzr*U+)%EpfDVfx(taz2txVZnD9tJW}(`lF4pkr+mJD|W0v*8lq
zQ6D`-j}Ikg=Cfgu<XBW_<bcBHad(q(U2s$c+iY55gZ<5jqVAhqxVWJ5A@Yna0`7%H
z<p;9kn$_7#*Hb(&;CaH@E~<-#h<D9q|JYGFapx$56(6iPwg0>PN(WaD)X82i;ee}*
z&28`P8=y2cyrtVq2T32Ms*BP%!63eHvmlxuELm?EL>YD991||}ef_?qu08SRO9dcq
z4C6b6+W1UkGD@l922=G8o-j@!L^&oIb_8f6+#%KX9v?3X?YojWB7~8^d}hg&vc7-#
zed{@EK73+5m)iYT1U1h#rQaH*;yBYc?lt}maGi^p3`i40hFaQ}eWg@PL`er9`nv&~
zo(U_gTO<&tX_s<5nTp;V3FVY&eyqq$OZF*lgo#eot2c+K;LlL8QDP8;UwD6Mv$!;*
zXA-yS`cNV2J0CcsA_OPC;XleZWKi7R{+4+M6~bE+iXR0EBZOC$K_Ooj1$k8yQQlN2
z3dc>hSBaqH*fQ7OHaT>0*Bqe_qvDZU=$F4bVz{PmuKSr=0d41;+2qry*cx2^Nuxp>
z?w{<^2v<ckrSM%yXrzMf-=Lk#9!aEM-?Ktwtow9sZ06sM+L(IzDf_jA6mniyY#5(b
z0()tzhu#@&)Y{$8Fq)9YWI%jl_+}L(QV-2BE@>ldkvu&;B7-}ErN3q#s6yjLSRLnO
z9fUToNG<%9#R}`!I*%DOsQUkOEi%!?e+wguj$?9|U62ypqNf4LSd#|~OnUfV#loH=
z^YWO#U~$32R}=nObX$Xl^)Ua7{@PYLMI5VS3nv4$aGUMa;q(!G42RBZs<2bARVm2#
ztO6AwLv`7fEQWAl>VFi&sf4Uu4oh5-R1EjcclR3`K}J09>}CdK)CfPyVSY}<55th8
zM={25>QD9>`K=7Mm+j}g-mL4_)!by%ZUPnEU1abp6%>`!O?|va#f3}nb9xQTu!T!{
zuGC)@@{>Nt4y@~BIrWp{R+>4Q6ZgfA&#Pi+zv6grl@`4He@BFjT3{w#=Tg=#HSGVN
z{(Qs<O$;sDryUakxcmMo`lhO3yxDE@qaJlM_3KFl<N_^`ED5c5)WEGW+%mGDiuV+q
z3l18VD1066WfP``<tR?x+il8V8|K@cmTrmnx9LtLi>QIF(c{KQA_dX;x`X7nB{Ft(
zwD=^d!f9m1{*kf*a?_nX{gthd@u@;_sZj-IXDN$Sq%1ZWg^PMPSmBoAu{x<KWn>u%
zOmTdcg5r@7ws1Eq{7~wy%N<pMURKJh>Mi0>(T;A&u(CqE_j@aw^?W~jBU9W@Q5a_%
zQuw^3t#D^5wR<#85i@!_;~)9(!yvD+FMGri=_Xc(p13POE!$GCmWv1OLq+Zx*_K%9
z=|4whlLzHWaFo6k8*aJZTXyoYgh`}uUT(Q8O0IW$4D4cro4{=SB?e18a$JsxkC4G+
z@I*)Ty?=!KMG2OkM?g07jl{wbDFl6G<Sdq4Ae4)QzWLe$<3W@W8mA<lJ->gggmspP
z-^zIFRt<r{_7Tg~4`SG0B>t!Te-lKLh`$!gng!ZEBp<n-ErMHuWuDH<LxfsqmAs&_
z1)?UrDvv%FLfNfX5rzQ+L{VDjfA$gP_`=QVEA(9eKHE--CLic0%FINHUly5RNAdPO
zT-yAwpNMafDd;0yTJ%e~7EG~eYAQhV1s|gM=ktv@`w2h#(y<!C6w#DS|A$X_;Qz97
z@H>7HjjV^bWG<OtW^n)e#}-^T<*W7l2xX86n%Dns)NKsj!{Iz1B{{H^XsT~>bBJJB
zIiDu1YYeNG4Et3GHjD;;&Mk`^CGKsHO~}7&gvR)V^v4fa5O@Ez?wz6uLNW2U@BEk{
z7IGJb`N0g0DWPT=$!UUdZ@{T~S3|J3%S$^6Gr^^@LMM1-hPcZxE~{K>fV2GjPy5I)
z!qLH%w)O8EF;{upXIRkyWYeyOq@4^nF;Vd9EyrJi#VGdJ+I4-fGqvwNTtyFEr=P=;
z28%>fg=v`=mp+6tL!S=0(c_cFyUT1RmWjkzC%(}*J?u<4bxNO|9?LFTmrdJOiGvD^
z0Xd9%sORJ{p8rJ$mtbD^rz&)KFYL#CElw8>W1Sod{d6c4uh8*4Mvuu=S>{Kax|msW
zdL_v~kD<?1ceL9WAnV?DbRbO!|Jga1+yFgRxqd&t;K+n~qMB4+1s&{cCO<yTphxC_
z>*QQ3GgRVr?d40fp>s~lr$m$i<;p?bPA6IMORQ|f!9^QB`SHw&1q>+5KC<}0f*pQu
zQ(R|<si<9dVZ#7Md`;*ZFqh>-eBSF(`vfX#nw*&A%$ZOl3HJL+-0<xF_~n!q6_?%}
zyS_$c2J872<tPtc9Ev@AFXyEe0$DV@>TOt1dC^_dtBnu55v@!H0$S^NE4jHNk`*hi
zC${ED@MEodZ;$sWP5fPMpU7!s!@>-M#-~UDZ2t0e56d47JUO_dNx+2z?Kz(x_s<HV
zJZbkAB1!{RCFT0E)0}V!``{^eNf_^}re&OYHE^x6I#INO8wM(`;|gs=(K_|+Ozul{
zFmKg14lUwEZ0~#5Jn3~GC^p|I9;A+ot``>j#`xg7DPM+5S`tSNtZ`@Qse}El?VlkL
zegrK^FU8qNA=kLA@3D|NdY7r=IlBdrqV7>rZZCuR>K*mnyzA#*_i{T|E(og{IcMK<
zvIuHE9~?kYN0!j&ixMMYxJGw4nKa44vgjFm<8F1FY}+7qph*P#3`19Y^%M{`S)0IH
zqK;dVE%y#4h+&+|Z_PSK5#Kj&UyC=^z<D`V88<%({FweD6-!mZqs`tImxnZ9r*=9;
zV8=!*n|-dSe5Z`?e<hC5A2q?J(0Y(NSQ<Q0qA}n0s^ZV^-z1xUEy!Qfy4w9k1}1G%
zH*}fRv7~o7*!&I^FBmMJTg}Qs!Qxx#^(+mz7Ytb(_1DJ3z^VVem6ykBj+t|PhFa)(
z68?0HhYr5l#MVFDt$_B0>LR9{RD3h%)}i?8qH~+JncXc#m=)gi;9}9nnVSNEz8QL8
zFZVbq-cG@G7s|mmH?^T5aXXIpuRa9k4i}u`Q-=I%r<M+f4odcGKfiN$oy&y1?~IwL
z;NYb#KlZun;F#1%eK4CbhK4EwdOTDy-!boy8>oYagJO2sMJ8Z;l-zH!RSlg@J<CTN
zbTG`(BA|273|k!qiBxrUylA+*%rveIQ|Da+9TW>(uT9+WutOcz-v5Se-L>IfQsLCn
zLZEUwJpHq~21Z$3YPX!ABH5jd>0Qyf57#|BU6rB%fxSCr<C`_%Fei{-7i<aHqZtWw
zS2Zy4v4bJNO&yWDiUy9cTVc1oSgzALf4)!mjB#J*JZ-AdF2;*i*!wXzZ?aw;1;dKl
zL*gmeCMxY@^V<rH`^e#UeCzsqeV8l=lZQow?V%|-Yd9|nE3t{GVK8#*>kxk#Pz{(P
zZ<$%c>-h1B$w?KMCRsL{%!#8gzV^@w18a!-%Mx;Tl_9qLEa=E-AsAiw_=Zc+8lKXl
zn?*E~P?&S8;K^k^3|=|Tbf?1#jYRQy^kYTrYvEA3>&J$0lkwvp6Rp72cUrYjKmnxj
zSlx6l9b~S0EU9W)frsyZzOK=7&|#N;#Hu+@T<mh4oBd#kH?zSF!|OfD@V}7S&V~WP
zDKw(v>v|4qS;YK$StEsV1IP9&D>a1IN#}v8-#~5u(uvR(34BejEtJ^wnRcBr|4=g=
z_-MZRiDVZ;Kz~sDwY|Nx!@G^Ld*}c+YtNU0!NRD0^Y1j@{2(ooEP6?mA|Rvtud8iY
z0Cuh(D+bo1w5O%)9}f~15OYZgsjS$5mMvFgL(0c#;d8?!=MI=-W%gtPWiKxbC{i-!
z)f2ReJDa$fQ_WDN{+pdOhZEJO)x;h>o1pdATz#xoYYM0PFUYrB*f3}IBr=2?r!7s5
z@1AEcg=X}|khd<(s1iv#$!#)5YukEt%GkyP&%96i-FUzNi-OzRIvhr5rx(5ozDYF3
z%>cFPEmm|0IB=WsfbbCQUDkNMR)-NzR-H}>_gEncmeiDfRt(Un7KipbsvE&|@1Hz_
zrwc@T&`~j;9sM*%h3$6Lv4-d<sAkCxn<rK_9o^0{*Gn5<sK4dfX8=c!uSGmhXNZQt
zybo^Zrgdz8tX^nifCp}4cVRI_h{fMN=~CNH^Iv&b{VZ1>T#biHO5MhY13Rg9F$pcS
zqt4qII7RgFpZBUpdgTy7k?LxSy3|0c)vo({CteTQmy2i93kC@EnDH~-ucOU-*jzMR
zTAz2x>tQ|O{lt0O%x8nyZ)v=Z#~WTA)<qihG?m7B3EQ?VQL}BYX*<VKPECyIAVqvT
z^EvGvLMxHuo>ll0+UkBs=MTX;SZmX<=~w+u<bSO0%E3VzouScLnF(!JXq}OLncq%a
zZuR;8?ths?y@_31PuO~XU0U_7C}<^+(%33d{gROV`sU*A6)OBcD|c*^{zk+T*#?qc
z6@>Xvo1OecD)PP-u5pbu6VY44g1R?X6E|geYEFn!@#{~~sps6y#IH+#R#ZQIAR=fS
zZuuTss7YZI>psy$WO)?s;xqe9%t_F6ozG~3%sW73S8pP?mowd&wl@&&suQkR`5O4Z
z`p%10qKRlO*|WPWwTWP_Qw~cSRL4;LZOV*Q6XBIw*t+d!3-SFz>%y?CI?iR7XmH$b
zBK-KQD;cfZh#H~!n&iD|_;LHP<!!BIBJt@yY0jz+Vs2@t#oi~X2wM9<4oo%^&*gUS
zYuVdH6ls;(S<I>+;_s1K&fXT{P}1f>dg>2?QpdKH#aacp|4yBOu9XN}Z8WnI{YkL8
zojjOvLm7(+()4kzZG=;FgumCTKH_ft5wD>sCH&HhKF{0SPLNTN&ILz*5y28$^1rw!
zq0BDcx9wsl5pKHjf!=43=oU=iF({y5P&~8w<FPK{d~u?z&*32=h_1qsOO%4e(x1v#
z@AnX|xb0GHUX2jE&zDK_bBd@u+dttD+e^5*r%vSQj1%dtd+(RcC}7^MWgxoqC$VIv
zbV^}-lCYMF@jH4z0X%YDSNlBri4Yg@!UIRAiM*d1?E-q_v42M7S^wfMLMt`>O||4K
zvDbH!@zPFtEGT#n?fp1NNblqe{x?2H6iSN4^>xaDOE=25>eCS6Y^9~tGx3Kwce!Ka
zh_4*R+T}w>7)FUpeP`RADl8I$w+l)ghh)*qMHuXf7$+9HX1EN}mWiX(+pe(@vdEth
z{hB2>MGWRtDbH>CM{HGi`qF|`78>`9SgWp16MeJsCNcNv@ZmgJ@iapQ=gO-OelwaS
z)ERTn-?e3c<VVp4Mq?Q$^#%(_bIubMOJ|CeM3}(ypk3eWr8MF<c~`pe{3W)n*t7JD
zv4G1Z3sq}Un2u}ed1$vtux3up@or@Ub=F1uuBQ}4LP~|dl`j)J(CcuhmIHZD4u9Q9
z+lZK|ZNfI;{|Ix_jq?s?xbg3BWp0<=Mlgmpm>e&o!+x=pfim!+TVwz8&Nq@sT-trk
z_CJR8oIf9yJG=pL_3o79?UI-!O%BtHm{8AOvpQZW0R4b+4OTWuygIQl`6R&t7vt=V
z(sx3Tx%sw!u~`Bdiq^hIPqIPi(h<)SYwLU;K2<VbDS=<??p|#39H{61`@1r1o#S`i
z?}+;<fy%(7=OcOCsGF?XB}v%`nYz(kd)Xzy-_htV;K>JV^TM?lZW(-$w7U8Dm?Vtv
z#umq{ZGh{Z(9_nrvgleB*5Z=ih=Z$}H_bE%U|^(2oIXSzV~=acl|`h`!zR9Rxn2kX
zL6bG#wkx76u-ZP?PZ~@uwI1&OMBrn>^k!wh5**#y<n1oXVD{6EPd|Odu`N35Y{)GY
z+|An7CV5vDTtDXbTmO+nrK%>|zG*cuDcAH=F3RC^$~eoFx6;^oRluNfzb2~VTH~K)
zD<Eg_hNQ(_S;TGX=gm1rg)aZi=h8(K+%A8)d3Hq((%uuRB30Vp3+vr_M{Rw6U+9<e
zzfiz%r)Jb3i!LI<l7EhisbkbB{Pv4*3WWVt8%!+pfTyQ5e_zl-B<t>9zwMN9Q|MAp
zq?bM%>&1>a)3l-Z`A>e5j4EUvBoznR8^G#JeogACE_(O#`OVL&!CgRUSM`FyI!}8Y
zSBx@1Lbld&OOXcJLIqPjcNpT#@&D~Rs%eaOWq#$UTeYxOnW)_BW(dXn+nY;S&5-k3
z#rCi-71ZgpjO`r;IM7#p=JAvTk}ex(`OZ*LT>5uM?k|009`aPp9s~q-dT1<oX(Qs{
zg(rq#de~t&zfXX$g5lD&#~oL+vG4lz(>t!{Kv4B%&i%vIIL|M3voui~VX7ZO&O1=C
z*l;^WG}LDO-BK(f>%1bZtYdgMMhz@hYT3hDw(wg%@bGRc6}SEhRST$6pnU2m{l#2c
z*yLqJDXUO%>Nzc6tx*Qd4|WFp>9fUBjPj#9H#N~7^}5(FPz1BJIR_oT+rq@s<muiN
zb(l09?sO66Lg2UBlQ9{#=y_XkP|Z~pMdIJN>{b2}r}OEizv$UQElEmoWk?CJ-|pX1
zIo(VvWQcZKeP)B!U#+tZA&U5ViZSi?_hs7k{`(iDHrQa3z@LSf89C&?{aRSb%1S=;
zquqNHwBE=1Pbh9YD}!49ME>DrZnClaSSU-C6*j9K<#cnC#LrBps;R^cWM0isXP(%4
zAG_%x5!fYyWw}I|2ipb6)Q_9bSsb^7$sMN&+k64=NOZN>#0iqpnS4*WdH{8=`a#NL
zUd)!QJlSt5M9$3%r>439{}O`ZqOY)liF3d4w;Mv_*oPe%+mZ;RuDxwZUgyLJ-Mx2@
z6bX@*%53|pu311*deoNn)B>?|BfvK3u@L$FXIh}oQ*%6EdTM%nV3cTWnk0))36V*k
zGVL0_n&Hy93p}MmjfCNqpD{(7g~+?pUd1^KX1FT9@4;KH23oXOdu5HF5ZS@*T5#Ul
z6tp>)MJKc0v`@)DUbX%bB!3<0exi_U0xIK#cg3L@+P>Sv*ME?LWZkE_g#*8hp|nhQ
z|61|_ZN;ND&iT0@>H3&d*kf-D`@k#aexm<qOPj(ncdoBr4zM<JE;K^YpKTADuh5f9
zEdH$?)q<p5QXC~!!3f{@8Y^g>jAYEJ$<3}Q!Syy-ze2lfh=vkzxwnhVq?XI4K{i7n
z((iMNR<w*EF31{D2Ig2v$;A)0Y1f5FCY{SeX-^H%>$NE?tc9Jlu`4{Xz$;9$p4s+u
z!q@<mM|X~`-Qy$&CLYM0$P^|w1l2aiHtIuT#5Lxi4>vhz8`ov&CPLEbavuo_)rZ_?
z4TCiyUh-{~+xtCYqT~yiEUpj2`Zy*oQ=oN#kBoah#M-tjO4b}3xcu#%9(um~%-U|f
zfwVk!-6U;6j7()RUG6`jhqmLgfz=B9<nbH2h9`I>$g~?@jkX%=A-VB;<OMDP(r@t0
zQD;b!YB65)H|X?mDyMAu)QSL^>EbT^Dq$lTTIV#S->3@<+rdlre+0?cY3?tY6H??}
z2f-6{xw`m$1~;}W3z589Qf$k5GGuPd{wJ%+y2xYrx=_O<LJF%IwMPGwA$esD1CwKP
zp;Ic{^*~LOth({eeV|E})QB=Sa6P4q|1#+x-1HP9cTLSvj0)t)>!oWAVi$Cw8}*J9
zNfjse7cF^HZ_1OSU(#z@?&+f8Q`=+H9tkp8w(_}pyaFja5a1p1UKcAn?<Ku6*hp47
z40y{%Dw0NDoF6r<=;H2JcLsZg6gl}UF7sjtg%qdnQtP+YgG9Ty)jX>VdHj-n#?Jqg
z$gZh-l;Ash$oyNZ-uqsLJXJ3oy|`7GEE@Iyz{jeO7M@!sN(r*$=;;fM24*TG_p`mP
ztz*}FvJa2-PFFedq=TE8n}{lDv9o?fS<nE}4-OU=h{%)unOCG3dR571oBy=NzA}Ks
z868i~9(mF?Zm{}#vKpBm6w;I#WQd>LJ3~h9E0ANq!;D1b)yaY=lPnu8BM3E{1)TI&
zB-2lah@VSQCu?M7RpJ<ou{0HKl*vaSb8MsRcw5y;_SSQb-+me+m7b=>QbHj^dvnd=
zM%Br;e9OHvbtcFQ7wJ@SRwA$OUO98;i#plY%^N=b$`mr+BTKK;E0HJKg+A|!R3~k6
z{WrU2nc;A&_{298Wiqc^+UfAP8hMEOa*6b1bL5c3{BWW&$>GMse_U0KWHG(8toJ_)
zFp5jnDwE1&P{w4Jw5}>C^4~Nq(2T%=X1YI#-;~L!pI7f{a;cD9v8xh&3k1e3J~Dp#
zs7&%3<}2<fS0X!aoz{4|?n?r#t>?q<DU*JbPwfMa6q09PUyRf>pm?A}Yk6G{W&=mx
z&F>UQQrVd+r55;+%ga?ftVD`(?Y2zNTL0IW+d9q@Kt%7-!soq8WcHTC54ksF$+J;=
zL^YW#5uB)WTInr?Ea&lKQelxHSBt*0q;Xh6GjX=foRdNdD^Gr!X4y#ok<w4w!C;AO
z$zS(oEEUQ9YrMjt8sa2fS)OP17@z_b@qIxGWNUn9?P!7s`QVC@*Po9--ZEPW?SeeX
z+-NW2s3b%>Rn-3P`(40b`SX<613A*?@2u)BRsr(HzDVB1KwyKuS%FiDEa^^$iAig0
zAf-BkB8M~p4nN{V_g5LRTt$T=iponKzh9QOwVlA0&Bcyw-=xVc{HgRym$*pl`pGl8
zP6UoH&pmUJlp=$?{XU!v;2_UQruVg$TA(IVb?4OxNm8Jyb3bbt8@YB+ch*_n0uCF0
zNtq9blZ*C|75>Lq$pzlAkJ}Q=A>!?@n=3?&yw2$zs(77+{2|@m<uzr7)<P$?)eWK~
zeYfj;KPL-0eqXUNe!Cgce3Cu)GzpU{<lFI2Uzy32!}hCn6{bj$N}|ra5F*dq7X9({
z8#9^I`;7M|#T0T`D~-!Jf@Jf%_T7!5EaaXIXY&27uJiH(zQP^V0_5T0kF8`f3%NVx
zz3W>#6GVQcytuu<PyQbO0RR6CmxnvmeHe%BJ<hRLHpjs+&au~dP*PcihKh_LtE5B`
zNk&E?l@&rmLn;z-o>CcQl$G%&rHoR@4!!<^=lXqr*L{C(d1sGr*@m3>d5IA0dCVA=
zD2|#+TZJ(9D0RCx7Z=uc9%)G)H3FH7R-KAZiTIk@wMXF}7aqP(y>|A15fqS9$Ddjd
zks|k*<CO#tejW*ZcIrPvm>l%mG&e-R)`u1)Le9K6XX#>G=57dv^bXcv*#xA;+0JL(
z<HM2e3>C`}0}$LeL8%WQ;C{=!2C>Ql=;6`z^JuUEBo8m1O?M%nS3SqMq8dT$(i-**
zTGfa4Rq?Fb&ID{GU|PXb0$!_kiw;iLhw0+7n0<Z(JfoNLCaH*s5vy@5kJR;Hiqn0I
zLIwdx@3g<UmMesZ#(957HtT^&>zryr2LX%AzPyOIDUA7fw%i+n^<XUC;GKyQ5ouXm
ziL)<7@Cn1$X+lB|?zG-`&31u^ZoWeszD$cEf8vKI+ZGzw@RY7JvI!yE#qthCJ#lO<
zRZhMgO9PJr5AWzqA+$}l2+q79fq7y{rWdSe5Fb9&U}7MQVb(uPndc>u#RdwacxZ6&
z@84pnNn!N6+y^ozr7>6ZUy||w6^_4UR^3)Df}gfEh4>0=Kw4VJds-zGZV%soy?Rv?
z6XGw}sn*Hjnu_A?<JnXw5j@rGnIeWIl;&C`kVm{He61mo3P%?cOmeftaqRFVc2$Z3
zUaZ`gEF4FLg0T{6^<xS2`AaIzQdY!?)ABbDr%+*cumARv?~>RZpz4#YqJ)7PdQ%2(
zP+{}T0bMCAX}mCexMW&O8NUeg%3o@t0>}INZ!(f(kS~!r{hNgf`iO-2makEv;^U$F
z)Wr>G<H7n$+gTNTNIe7IHZ+(T6wIy+m%~_U_n9AlB($cUOl>Zt!RjGL^?PyhI9BZ=
z92cpEvc$uWhXnLMuWA?1u(JaC3(z0lP9o#G3VW9m>3X2na7OW@nj)UK(B`%|Ssl;Z
z;aek;^`R_f%s7Qf3EKzH1Z14nKz)k;WPi6lj3sqJPoEMN44CPOxM<?cCY$Rgt{T9*
zvBkmb70Os-+!oNqPeIRFo#^pEL*R(0oNS0w!D%<{?HNTBTooDgJm+ErVXNfp^^U6e
z@8lU)Q7$b^R1jCF-)0Q;T-2yX0wmmg<GOmfi55P#;=ZZpXacHb2Oph(PQv@woNMH0
zT3DA~U0dX43W{sOPg!=Wp$%z}VLnMgt;m|HX+JZld2oK2rC$wy%q7#e9HL<ERo^>)
z$IW4@0Z(2bos6e6Ty%csYoeEcVeWrn7BE3=5Dq*~MwbJ{=?AZ9puwppx?KKrNT?eK
zFS<=emL9U>4HtFf>ShU<R062Eb9U$MTV#xLyc#9*Sq)FzX!SjM9-vGn``7IlGRo1-
znWL>p_?M)$Z)-0=&yr!>OFc4n=JscaB&eX>$+sGv;+C*^yrA*-D>b~LTbD|#Q9{SO
zBLhM<mf&|*At{ljhO1=3sMb*hZ2s*2q0!S4y4s%#eK<!#buFV+RvCG;X5Mmje}E<M
zJbxAc{+TM8A#bzSOBsZMf2KX&mT)JFmq)Z;1#_;F7WHBzvBTNcxy;TI<X!coBgU1{
zs7mo4U$ht|=mc#jAz1>ue3;GepGtV?;9#?BlQ2?Li(+c#0e&TFBy1g5#K^i>!#GbO
zt`gr}{9Ow`EY$W9`Ko|QTV9iRvITI9)h%WH2!PBor{KU(@@VB;e&;5E7p*t^dA?f*
zAi=z9W#qXW`V>n(qARWQP$koK@--cp(j`U0+BcwBubleS8+J@DvkDqjro(0N=K<H|
zrE&Wc@zuKDtmxB0lV6Osfc?zNJ=TU&7~jiTpM8l1HOn;?dHc*kk2A+M__72#T{Aml
zlE;jB@zFE)b<LsDqr^*vAdXC~tkaL!nQ^vje6L8d83^w$VZV1*6nSU!c8nqu&Qy4v
z(fV!*Fk&B??JI(pGtUonzhuIxJ?Wzr)~2w~<*2!6z0N!Lg`LREjN60{#;cZ?Ky@Uy
zi8lzL7Rz-D^ApTyOVcx-<}`uM6@4CseMH<DmG{R$j0GLe9BA2h#2A#sojpyj5YT%5
zeZi+sESP_!O{}Qj2x1yOda4ZwV$$~>?W--UcxJnh$oLi`_+nCj^VbUj?EhoiHqgz6
zjkKi$yPg|DKj}`%j!*p9SGUnyd5s;PMg;!i);EMCzv=JaDg4+x=RVkM$%)0hltGya
z16UrODs_9nhaD1c{C*U0p~`J-#ywpFxOw41dE$OPd@IZB?z-+Hvl-XOk5&4xblyHY
z)|d}V_w11MzsrlvJJ<(af<Ew?&o*5HKK#+QPlVr%A9L?`{mg9FgTEZ@?>$2Jux%ex
z@kJFu6ssq?pYqm&!RtpZKW^c}$4)at?Fj^oIPKDMZ-oY-H^xp?Z{x>E&I_Z`sYHB4
z*AouNr9n&9viQIseylFZ&2KCg!Z5Rr5C7=v+}kR+x9z0>3N^7`Wp5S6bhekHFD9rU
zxu6o3SS^SJuX^0Xc|=j~^=SpMJSueCPFfWB6Y$f^)z=&Mi6Kiq@Q1iiLAc#yZ#f?k
z?=d1AKD-h~xjW}R?-rrLDU<t^uU-=Iv{Lh}xs8%2iRIzGgSuc`BgwZhRS13f@0d6J
zCxtWFs$O>Ybs>Y}+}5H%Vf0VB`pe*w3_e)V>}X5Sh2Ko7Q@cGy@R`cWp<nxCk*+l7
z(;lb`qgT^8#sWm~60z#Jf}%W1i=WTkvR@Z?c$0lzu6u{`tH*I(B?W9U@VV^brVA6k
zw|?8K-#7DRZKY2~5l`}^O)DPMg&e1^DHTGJn5`N6wQH*qKIFCE$sDZ<mzYbA^Mp&`
z6@H%N_9M!uI;_v`d`B1F4G!EBnw7=_fA&2iTvx&VrkKCU-*jOxaWs(<zX40DJ{>md
zRK;{b;(L-l6}}zbN#9J7!yALVvMPLP$dYp`D{tM8#4S@N2SeqNW%X@l|3)(QlafYk
zMQCvBtV3|t9t8|8l`akpSH}-OsHyvI(jZWEtB|RUB6f$%FHRR~pj_HeaIKRbaIVo-
z8w{23ykn!&xu=>~`JYC0zpy?`P6(xxXeeVxv0SO$6AFsYL`7!*)(2=i75zq51x2cb
z$12mbaLl*pzSvg-sBP}N5znuRi*GfeZ<}kQ-SwcsgrA1s(rWUd=8r1c-8k4h`&1ia
z_HN7+<u-=8$IN$Lz9V7Dd*K(ov)UN_Akecx&jhl@@li>p8X6Bsf6e`=jr=1rUjF{3
zAV<~VGqxrpar4W7t=Zc6Ea*nnyJ9n_662gY&_l*Ug5{U@E@<Iyp({7vtn=qo$V#iN
ztvXiFm>eBBv{3(u>yztjbU1V8WaPuk>R6H_{aUnH6XO#fW*G?p3>R9N(yG<*yxf$V
zu8jtM+q9<Gn*yNO@s}_0p*kuVspg+cAmjW8yZpB0b>2QOeg7y@9jC6J?0K0@LgAgl
z1BYEL!DBk7PHuxb8t!5_U6QPVqvuTDHsx3XDagX4G;{r(^tW_&2Pz>?%$(73vnAXc
zUN{%<RSj$2IrNR#Dd0QxqbJwCSi-@>6Zh%}YFM(#@qWZ{S?o^WZGQaS5?+RgHoTN4
zVg6P9{5!Ey_@DWQcMp3kq0_7|##B-jHHeo+HhmPs{|?Kf3Rhaf=keA!GLs5Q<{Q1K
zIwy=5l&Vwh;w+&^^vc!?14<aAQD8itO2C?l^4Op2z8n1X+*hnZ5oZ#g1*XpNV%+5R
zyoi4Ql`+p^1>+TP{!v%nuS`xfQ7cq;d<f7qSi56`hdd@puk6ZL_X5RL#6EE^Kq&iK
z$gvn%6fOTGXtu(HZ4Tb;vn&92!{^W1?~%cCo5D`Xx~?+F^2BGFPIS0hFmE<#FNOWr
z-4BR#E-@-!DCBOwW&!yPe^`~gB(PRiDl*V<fx)Fa{Z{_7Ib;}y1zx%)hJ>E{UWwat
zjJ|?sOLek2yt%yXTI-AmUgCEMQGY(m_$&U$^2Bj7P)i!)%Loxh!CExW3z=oOsIq3g
zerXEBJ3c!7CnAKOr?%{Vad(!{MPTc>Az}(oHC%l+3=;6?mob|l*EvSS?(iMH{wAPd
zqBT~WB8c0+Z9O)zcb+k2d)m?Nl`))cJN$fS2|vD-6ZC5@Utn-=B=&|X8bf4SdeF8N
zUOdoC8)0l*Vi3K?U8mxVV0&<Gvqd@&@~1iPQzHIlG;UDyZuwydBKFKJy&l{s+U(8s
zk$;u3lPD#?zRM7vqkG$HA1-83%GDj!|HnwpH{vXMV*uecb*Db&abirk$Zy#OCL|S$
z{Jw5t0B^c71%=o-QPZ2dr*e%M-<~<b&HPv&46fISROWEtg@*D2PwZLo`SAPrciQ^U
z(HpJcu$Ke-=UWmg9<rfDoplONg&s6MX%4U1$bsT4*?XGRIIy6(Q@q(g4|b8ZNol%r
z;Nb1B&<ju3z1DNAPx{5WFAi#c&`9P$oq*DV-`%;f-%dqngA)xlI@LYP{>Fj5k5^Ka
z6?pM0F(TpDS1Q=tn2EdR&54`BD@J>m_>q`Mzfu!Pg^BoYUw*T3;mUz-%MK<%j3l25
zs+6Jv`Es<PRWlc!Y{5eQ^&TqC{}C=*uM0BPMMm!*a-(nc+RMc%A}%;yVz%<tg@MB&
zy5e;_D6u0!vTsTVD?B8)PmAe-*OM>*x_|IuX6C+x080^MlHv2wf2RYq%_f(HEcsE)
zFQF*3OcVuc^hBl-b%2HW;-bKF0SpiRxcf0h97+GZ8>ZXqz|@p&PLU1)sk`nte10c^
zCJ~;L50W}i>kc+$;zZoT<}Y_8NeTt7$`1^E(uNJwYYykv|F;z3?_C=Y%HU{6NF4KZ
zZSa`9_DNn%7<Eg;bEG_F(RugF8R<}MXf!7N2y_;~shY5XKNj+M`vQC6g#+5~aaa9m
zr}b`H7#|s1-LHT`1Rtw;KW%7!rEi-zD~5+RO);WU6|sWLReRS(ZCJdYt+5;+fl8<O
z@Ate@!XH{U3TJz?AuXqT<m0L&s>rm64oRsX=X;)q<qA4*Ny($sxl9@lxlNeXpHM|9
zHjg!Gpbjv4sY0S58*ur%(~dX&BorLBQDJJ;fd>0csruX3_vGrhlbsD2-&B;hireTy
z$u#Z!g%Ww>5jx5h^H?3V%ao)1`qn)=)K(yIR{>k@kGk2)Xd)L^{gLwZzRRpS@*}cF
z5j8F3RLKz()O9xB=;TU+t|E(jJ35q5NNkpB@<I!nB8d)4pa<LaeErU^@8?hK7J^0-
z+L$?TvA}eTKCEqHv{|vN^H87NZr^boG#AS%zjed_*l%7T%!!ilMW3FD%|{))qgB+c
zTVV*-tOjDX$f@Dp!`$p;Qo6_;?HQrQV+;c<efFCr$jBI)3@Xvr#o?Z(=0+z>;Nz6{
znTTaFa-FDrEvc-FXL}<DynmR2_Q{oI3PT;kc3HhK|DuDmK;MtbKIUMV2KyR4G*IF%
z?YBg*4)z8ZPS$l>z<`CtCWRgi)O^6b`0JuJZhR{DWKas=nBUxs#r5y<C$EOS=NkoG
z?1Vfz>Ht2|29CSvXrg;5ompp81Gya4HV<yIglF;@{|5Lq(MjI8uCauS?))Yi-x@5z
zLdS4UxKabp9g4JD)ghriU&N;o1uJkWJ0Nm`q=9@HhnE?J%J^ttqm6=(6?{Cu^wiBy
z9gp%6qI|j6ch1B&R{8}i(2&jZZ;2%1)Y0u$YHPA6vrE8BE6WOw+EvNR1gPQm_;02q
zs#5sG`{~+3ycHZ6&Q4D=Az|cEp=!t5qG*_Xu{qSs3O=mO*L2OO;Fs6dZ!NA8F~&iH
zw4iPUEe|QLZs#iF#(+s};y+%zqqAnlF=7d8X^G82W=eSG^is{zTXt*|?e-<6TS8j$
z!pZLg3K+xjap-0S6F!c%`)I9i3B?M$RV*>`xQL6VUD6gAqu(@Rd^!PQ!xD%Idu8!>
zs~5MzgK5T8RDXJ75WtMw#3i2((s)@iwW+UsjB$t~lw{8Vz)bpQ(&jITi*`R%pI3cm
z6mn!~elVlMBd)*WdSr1t#<=+<NUn!bxZ>z_AlL%RGM2he5k#@4D#gs`WGjOj#o5<>
z!yIl}D_z!56vmy^`C*}y*9^M{!v{16%s|CWnZ3%Lh-*rPhqr0JWLPjxe36qdgW<1t
zCv1}iG2_9n%=VB5hRtMg0q=TWD;bWg6yD{-OFyhXMH8DCV{b0~l_@fT%<b-}iqbqd
z?;S69-l?5ot9o~M|D-Xj`tN6J?B>Kp0@wH9EnSRHV)pbG7RIpk0P7C1UUp<ZcK*=a
z@;*i|$&{j*Wdz%5R}Z*LvEg=tpj^P6A%<}++mXmAL(r=A&mGEPK|{W)<N)rk44VyU
zUsIe6fo;v|^>1fpJjI_YJ?{6NQD&GHWK?MYe7uckMJ$={0{8g-kcn}|(f7Yz?v*tF
zwzGOSDRpa%hp)Udza~yH{v;Kj>PglI@{X2V1&39}-dOH)#G)xihjx8#@~R#T-77Si
z)LCH!XF7k~l03s0Nmdy04Ap~l?bQ-P_rHvNH20>RakC7!)t!yjlQdYl{kkHcW0?_h
zFT-hj+C0PMLC7t+02*NOxl7ft%Zwcbu_k=?78&DzWy?l?u6xAr*M7l}WyYy<29(9m
z%M1z0^CRiUsIdAs?3V1cWkzC;&{qN7Rff;@uaOcfy3mQ$ckSku83Lp#^H+uc7@IC#
zpNL4(h0G(ue;>yGW%St|)jT7`jK#wwmuFJCVC7sn&%bSj@%J@lI5vU>O*9@043+D^
zff}on7RyyePmSC8ZBwlH=gB+kC0iY!qy!%Q>A%M4Y_$s;J<E<&2Gy~~@3g_M+=4~8
z@gJk@LYQi<E+^hl>7RKkpbaX;ekY#YWx{LEqwWl|aHB|)%F)?9TJY-%*=#(G8LzYo
z9tvLK!PESADMAk@5O?~lqjee!ey*%JttH8iYktvzdAt-jF<fP0be9#)O&51>IV6b2
zQGRKvp_-s+J#{>4lnq~3*G*rXA>hFeCja?-(*U<Wf5?2BIMAadwp!U<2yf9?H&DGb
zAj(4fk=z?j)TtnJ*t`}-ox3$_S(EBeY!c^73*yGk&$p%n_lu&Z;^X*t=hdO7hcob>
z87~SPRVbE_5J!gKLZ|~p9Wr6CFVu)1zxL|cwJb<rQ&eYJ|2Hx`pcg%;@Djwa@Q(dc
zYf@+s?UxZ#L56MZE_N|P1e8crq;zO+z=Ov7jqYZUp(y*?wgYNHm}nP0d?-Z@#qt}z
zXr_>XZ{@A<-Be+8H9xmSo>u`cQx_t(7Lj52Vbo(zqA2$1XueSJRYVVA(toeJ$&jPI
zWWe-93>9}g%`@m%!n(@M_21U-oPX2kHE~h`n`fmO7~U#a^+=g3;(<D}<=Bok@0Y@p
zgV~?$SxD=B(M9Oorva7u=`-qwWUwbSbN=9CHN3PqwoqrG33ZozwPr8LqNc`Ju6d|B
ze#tP&+2uw7Mw9=$tHJVUW9Pah#7q+h`4S7qDz#v%K$X_P5(Qj5$$sb=rxtQw^s;}W
zp#%RojL)i$DPr%e{c`DBZTx!7S<XjM7v5ZHI<whO85h2|g&NfB;BHVMEdv$yHo9i&
zr>S7rSI(fx^ST(rpPl?7kp@dy+_e^Cs_2n=E91Ey6?MMHY|U8GgX1rGhfdMe(3!qq
z7XN~Z2b*nc1Jc*KuTPk@F@=nxw9oXriZt}79nE2~GlH|59FFuis^e`h#)nD=8pczE
zOx+YsK*zHtBWm4SvoSA!sF~AHZ}@8cT^=)FlRUC8I;@E~?(H0>MyV(^U*CUZ(Hwl0
zR|YrTr{Kfm-t~m7RIGohkoJ9$4rrvo=K)%Hc@tmtdWYj!-K^*8I_J$YbT&C<YGL-R
zq;ykr9c(ubb$C%?3B8q$7M6ut7+-WLJhh5~gr)B$ZhNetb(1L5s<#&2a<UrXxu%Ys
zKYXZfe^|jydS;RHCkmdJ^YQy*PQrr++hl}yTf?K*?hk1~6b!?CnM2J=7!zwJeKyY;
z7W<#(onY6*XVD+Ox9*e2YOS*JnrGJV{`h4hPgF-$UfrK()TGdfmYo&$$Qro0w#+iw
zlX0hrLB0|}1P>;>VEcE$8pc{?1@>2wP=Mc5-cE%dC)lj^UbVG`F4M&A&p1`lK-<<~
zV<Ib3v!!^xOj$v^H#5(VZOWK^)bHK>@_EKgA9uk1Br9OwsVLH&qKG%n6w*%`d|~YK
zPus~RZUxSb&m9Ci<uSbX-duj_bNW-;)U%@3Ey3JBqwL5wSxjotRM6@lp)U@cby-zd
z-wz{NyV^yh@wmE1CCB6x-BnG0c2DWLPtDDW<9H;{x_;w8?X5Yw0WHdqpbo$@ZTn4&
zD!RV&ravE=SfmqK__IEE(ZTKN=Ee;dg|IL-v*zu}GX1rAaM;0c3)t1Y98;l4KzGl~
zO(3^Ickdi4c$Q@jX2-s?9PeA_gGDHFN74%Y+1C6fa;+I$?~?gl+{=jryIcp=16Sz3
z`U2W2$4tTgVsE&MDH}TP*-94u^_R|NQnsKZYYJqgfa>BkCS*VEx+<^pm+n~2enxVy
z33U7w$at*3!kFjrFG#Xmre7;9>0M7@cs}ecpG;g}xDtlh#CI>z)iXkEe~uf$q+@Cx
zPwWiiQ^M12OJ0lg=D7&f-zG+odSdv?;?z%u=jTPu%!mcL6@kFsk!}d#sWT;Ft=||=
zRPRY>m(J7cPwanA`(*$=*MuTxmOe2~54^jd|8tIB=zf&Y>}UXrF$shFT00rX2!{yu
zE^~CxdX*sCDt%}v)ueYfHZTsdZz`VtJWD@i8EG1-pbyxRQy9yW&IqD>SC7h^rT@7R
z^IIrg4=U~iZzk`mrPpnvr}YKR(&M~t3M{heLBlauw}Oec^tekMe)C6X=@E6MmP?T|
z;QOoN7jd+Up4+<`cQk*NE-4doc4m<ZwL6GCFAnw7i^ysk^?zpR=8mR^UWHTPuR!-?
z`|J>%-_VlT`S={YHoG;)dEJlKHg$#_$oWE-w{&28E;mp2_)`;_cup7CZmWix$bF-0
zP8iJA&d<}QHdNep5YUC$&NY@_nWOZs!8dzdmKW%gTFsQKJRJzawB#a|3A(NSecF)5
z5`B7hM%_V62W<bC3AZ2rNk8UOzaW;nOn(~XA^#~}8+vN}T>Sq0qC20uGps1TLYFVF
z098P$zfBo_ss*7^J1Zg^rs(>yM+XW=SLtf4%nJp-DWLCSH$EagL#Mq>$$#+uAN|Ti
zj)Jrn1>}YH>#fEAp>u~zsznf(;bU^vR`+!e{<|wt(Ze-Ix5{{PV!J&H<Y^bAM>8~F
zDnzt8Vf|hCZl5%@y~hfq<g)T2Aq`+prl7UwB0X85QAA9K9TbA|2=jsJu+rb~*c+DV
z!J+!3rU4Fc{@UcuXd^=w-?!S(%`5bO1mDhvM_j;a{xZ|WhzvgWry}X6*XWwE%0HW{
zdB9%eWT|qQ8jPR0-WPn730gislUbVPgMH78CTf(`Kyu>W`Ty#ffs`}B+U_L?-t67m
zU)?6bWxB<`_ZqD5U$*FdVJ;%r&8TFF8j?Ufxu)b$4IAum*&~-1Ed>4iUD1y^RN>x-
zOPeQyIG|Ug(fqZP2plP>4(|z51^KsY<moM3Ao5^FB5Y6;LKVaV*3?yD=R&)-;SL_K
zzLGwBzfm0Ky_Yp+f2n}Lrku>$3w&_d$fol6kR%*AjeY~KR6zdr3-fym0x%nwmhnne
z21cc?3PHIFWQDkID{mt}MXw7-K%p#LVB1Votxy5m6G0E;KnQOAEU`LrOCESuPBu!m
zsQ`yml=J=%!r<C9$j>UJ2)s?KnZTn8x#uUwQxZgBj4!?W<ZUG|e)M9(*IyN0N!9Kx
z^Arc}*3vuGJ5*pabn7Z%Ru!xl8zT;TNkSW^ibtO~3C?kxd3xeL3BHWh5c!j(!L-48
zvUN@kwv`h5V)NBt@7Rk5>fi=g=o&Q?8CM6-5F>c;mJFn{I`L+8c>q44XWM^j!m=p$
zvMOkRw_DV{-ct&2LHe=X_<|OEX7$%?WTC+EC2#%uK}85U|EResMh8x3Ol{pItqmvN
zHEmwCSB4YjySP@PbU||PjW9Inz{eoF!I2gfSd81qw>5wYnjx{@PSL1f*tRjr+kphR
zvu7t;EoczDQP^Ljg9g)C$Cv(luLecD29GS)_wjA^`#6=S4?{x4K`DE6(D8n<demPJ
zY}$u<)3OXf(P4qhu}TA^vzI%W%JksCa_gSmkBlL}ztM8%`n@@qM|~3t^*~6|ll)=S
z6!??7qZL)Op!|pK<&lkgFuUkkP@`%ADW5`)92C-qq;D|tD4hn|Jq$GLwE(VEjRXeO
zYlGJAiLvx}DqI<OHV|%N2@Wfg2I+!2U_X*_Y*kGcUKmc^Jw>qs<#KP|vtl|B6%oqv
zkxLuepB^K=U$uf#tLB`=uiD_wJf<(>tO5T60096043}p-mR}gh$(D@lz4v+^d*7GG
z9u-AOA`;3-B@vYdrBwD#R?^={gh<_o$Ou^}WR|`6$oPAEUYzr}&bhAd`F(xAI3F9&
zG5|jbl@CJ(ia<>{BkX@#5+1)8XPV$KgtwFVq&HRy;P>==VycNK_@4jpRo>YULM~wL
zdo1!`5S?}{;JE+@9jFP{4lsoLAUUCwXjw>I_4S(F=75RJ+mXhuhF~@#*KRr}4Km?5
z?V8NYpv}-Qenr+00`pH??xB)`Xm_Wiihc@s|0=y=s>=Y>2G3$bY!c8Rus*6$xP&p!
z{};yMVE~&nq$FNWF$gKOKE9_=j5)chzxh5*f-C~nw^KYK5FqXuWFRnw&v<hhO1hCi
z<l>xtyrd8)g->n~l{fIjtjiJGefp5w5tF3zln>HHg9pTH$dH>+Y}_GheehLmGEUm!
zg06J#TX~l#&^DE0A6)~$Un32Ni!a&X{&(kR>XB5a_5`y0NCIH?u{`!J<S?{(#LI-Q
zP$M?IC{E7@7^EGwWXsWK0(Ryz#eOw3i2b2<IL$LXKxLul1<2^3d2TvUL68=OD%)pf
zWa`4E^aSOOCKWi-9+}mUp+#DmC106pbYN~&sq)_>8D#S2X_W5JAm(OAslI7#=(v_&
zDsy-X%Z%z^m@TA1k$b=OT?Ms)@XhJ6uD~+pHE8~K@hA<-NY<d;KBEN#B9z~#S|%}z
zOgmecrbf>eL~K{mH6bT2>eZl2KlW#+Y0Ul^HCiO1_BXQ{AQdn-m&x`88{j{E>m*R4
zf0Mly;rbfDar$Y$wGYBstHjrAX{b?#M&vq6syejTQw^Sy_=O9+TPj!?r$U;Sv+y6=
zYH;tR;f_A(5AHIaG?qR}g>GIhyB=^}4K9T^y56dv#2GZCqs9+Vqgr~GYlYucA*p5a
z^fi1Q|6V<=QKC<cW?qCaXzQy&88bc0@ysRs<MCJD?qpG;;8QP{=F3&!#-@w;SM^nV
zO5*I`18ExcW~L_KwXzBr_DGPs<gMc?3g@SPcF~~sYo{++zE_4NPjCMynk}6As(sbN
z99m@UV|KkwQyIeI?26ZIw{g73L96&B9a@oeRwmRc!PVm``e843aptk5i*eQTh`n}F
z`RWNJ@X=zgG504!sqc@RPd&tdGP$WVUyl>P<3X~=?M!mi_UXoVkI+NtZ%<<FR0t6+
zpJ)8b_Uizu7c{WykzqpHv#@erkO=P$Clph7D3P(JQy6s!GYTR0<{N(@fZ#F4jN9H+
zXe41lz4$&0vYIsG{NY6aNl7w#jxK8SD9A1t&p3=$ch`KK`3N99m5}wunilQxC;d(C
zV@0_W9v9NH6~V)O>R#X^9lGk|uG*-?j`rAcg;WI;K_Xeuz9#J;I&^3(WGI&dos6l-
z%*;`M^e1*o$nOx^k%DWtF)q|nKD~!w3UD+cue{KQ2|bUJlG5JbM)ipWP3e>JU_;t7
z|5MM54j0}oPw3)Bw=P;fNPR62MMZs?DYGnSPy5L2@gMxCNL<qNWRN@<8l~$q%CI8e
z=?4dtcLb4PLgP_GcX_a_JxVIS&4wm_2PTG#3!}AzZY63y@^G?AU}klO9R(T{bXGfw
zpq>TCOoteGu;iiW-MP+*j+F?z|Hv0buV=0x<6e2_yyyAu3lBHyk?Fqh?VvdN8tA7m
zYODY>XWTyj?c+fK9R&aNn-XZq1DNjgE5L=WFa3`y_)zol6t<RiNi<ECF`b^N2({fk
zNA*eskZU~eqr%(LD9p<K!kr@oU_~46#?K2Og^1Ci3VK<zD-ofQHA;ZLsRZlro5CpP
zsmpFcoE#c)ls-J4LIk5$iVJ-yB8WceL(vIN1(aH#>1KRY3F>K|ehRA-MV?+Kuj+>>
zq7%=}eo<ahhUCuIu3jr*D3r72*j-NoD(px*Re4_p!pYs2BgG`pl|;j9r*;XbA~g2U
zz-LvURuc$jww6RAJe2oe`VmodRMP!h-0DCStNJDACxx6@?sqfP6VXaLQD*VE2FTKu
z+!A^yjkJ#pXNS!ZQT(75p2?>LO)%s8?Vb!;L?Ta0{}PdA!Nrx8a%~v8ZFR=qNfsUZ
zT^pI7O+-zUTw7;O>B6IDV{fjq%OU%jXp2}`B5KpAFfCcq1Ix&woA+MGp$q>K)387S
zvhEm+xugrwF}|c`zbJ=tm!|IW2rHsub8B6-C4g_;9hSlj@@PP}C}v|$4%wvHd|r*x
z2eWa$y5T7~)Jc=d)aWgPC=#vdzi^UZ^>IT+cZ3`=I(w8Rw?q<6_H$WKhLC{gO=v{K
zvMh>o9B{Pg5km?=ZP6tSBq&d&oo*G8MM;gb-zL_Dk<C+?6E_w~AhUZX<h+m!`kd=I
zV0BagIbDD56aJ3`Zac@F(w3!=RC651$Ql>wn(RL1H%Wq1-L?At*^<aa#c${V9UF2R
zS?hZLnFQAr?>qj}kwB@HA5Fh%Fd<&9m`dwAB#0oc__frEp^^EgpC)e5AXP^6F;H>;
zT-k+x?+iuJ)3qBVjK9c`@`dnhrA~dYvJG<8sTD?{-7IH3UajFjg5L}Z`shR6p#Os%
zGa=+_x_8*-%ryS^Zc^_#3Vq15iT}`A#*Zu%x{jgqy|~r~SK@;>0LBW*&gYvvh;q1m
z)NZpFZ>syA_E-WSXjoP_&xH%=;f^^oMqjaIUE0SJmoZq3ljncF#*S#^Wt)P;yD=MA
z`^}s<J&27*<kRJ>DEf=;p1)8(R(xP)s0P;shA;Iy%dc6GZ7`Q(faef)`-#<t=)4Z7
zScPiYK4n4@y-|h^TSM4nR&B1im<~8<^H*s|FrXu^GXk5#hOmQOb@AR#+F%xcYe$!p
z4kbtb{C6;I0HY7wmWfK&f|sxSQ)nHiQJIjeWj{k7W;mquBxzg|46iq6N6b?oMn>I-
zM+&+zrMRdjI~7f6?z^jE+f0sP8);5ls&2=6qn1@-!ZcvRi%BW0XAe*Ga`tW8Xu#YF
z=cAbh)ZrPqtcQ2}Hg3SNDRYyx3KLqemWa|)2Wrs_wM(^|_-`(;ekJb&ESi?-&|r!h
zI9RwbQ=DGMCpx<#n=TgNFI{v4YRT0g;-eUwlldynmSY@{WAp{zaz7%+;-v}-oDpP>
z&zEt(&Cbka^;TS)ay2ZeR|U4!50P>NmvG^G)IDksy6|1GLVdL(DnMpEXpy(PfVbtk
zrA74j;AN(~thHa1f$QupcOm5h9#a?cdqQpy|B)+iEUKpri5+b}uO`jmoF}LEYIH_$
z4Hh$7^(rMWYmB2%dpe7=49#3uANz}|734*Y=_<jaTC=v&z8PF(X+noNaU8#~=F`Xh
zg$R^>BG%_`&ESVdaXFDwQ}|L6xmT415hS+`9^Uqx!S7tp`iSIa@gpj+B_DqhAU4de
z;(F!`PV3H)X~(#L->oq-qj4v|rgB#76yGfVNp5c?B4H7?RL<=aURDI{TCL27zh?0t
z4(eB$RF`qR!`YCu|L=To7<mxfIfsYDo_owZyMljxbn=Pwe!e_4aJkc;dI8_kk4s6e
zUc*oNyMOh1Bo7W|IgWlc3;2yEkL^awH}Kt$Y`=@Y$^mt1%!qv2B7T6ex23FW3$Lv1
zbWu7e2R=_sNDq^jaQZsdT1oyL+&^#Q#iFe&h$ze$fB&$I$5%a;DvaO5`CYs#_i|)_
zccP>3^VSN!%JoG#R+JpAP3Bnp?@Ggqb3=iFE^D|9=iT>y$p;Yk^D9`8gEWNxaV>tf
zw2nuc7~gbJrbLhA$9hQBQV<wD^<}$Y6TkWIJR9Q@6{0kqd2v`?3cMMj`BW1B;p-2B
zTl{)y&^8mdn_;>n=stJO<}Ka9eYsUl#un(%$*5aK=Dd=yBvjt|n34?Tm&pU27Q=p?
z*%U2FlK}B{XU}_<<Y@4E-`+qaBT`AJ(<R7Cz>|=vX{plvTtW8H-ld8eX_tP=OQ{xz
z1L1LXH}ok{w>jnP2c5&{s-PS{*?Do8wW@Y`yF!I}g9K#*hgp$+hVg6$vp9Ta9~-yp
zph1?}=I2`q*iqA|W1r}n#lX1r_C*+=LoaUkp4rOgM1)w5GUfy^NECpsAU+19U3HJ%
zs)-x<eytCkyCw#^8bQzOqZm<$R;v)JFdsTOWXEoHK@8^Z>o>ejXGXQ#o*HNK1(2c6
zTAh)P7^pLQ<|l9+MnfIfuLqP1A>)(FH7U_z&>ryq%*SF@WR@Ip^p2_sI^Ws%G^bk(
z*k!i@&tG9jb=QQXrrSgj;$XGCfr*3oH#M2!lbi@LM)a%0#gP^Ms&k}69I6!WHr#dP
zM#Wu`5@Jr0h(<Km@lk>VQ1Q;GYNqlcVhzW4%45>V@l4L?mRLz>IuP(JW|tr3whY?U
z+R7q<#+|sY9a5mT5s+PAB!mnNkG`(=mPgmMbb!WQ1}3cxT*K3aQOF7ZaPsGh=w}ii
zSSZT@xm<Ci8KWpt`=vzE`$<3@OJ~Lw-S%^o+xEvJ5n`zR=PS;w0U}zWX;u`xO@NU0
zGX6pi3G|hDVX^6l5_%$V<(BL=5olh{Hc{kCqCC0N&ne$2qpsFkxL2qQtra26I-1g`
z$e2m{nyU(Oo@0HI9-|6lFMChltCm4tQj(WOMpV#x8}87bqYfT<7aWeN$su!JaorsO
zRaChibn45XCa^wZ&B}fvk23JI!p97%sCfgwR6x{${}Qex$G%rUQ!&if7Bf^3Lz@uC
z&nJ5OIq+h|dX^%3<?%MYvqu>nTM<j7@&@o~olku)K|uC_)=D?tE1}$D_LmOa*N3^T
zPZtzV5Rl)avsGCdM09y|OsYJXw9hxw6KVVFp^k4%EXNfPKP^u!pOpdFUy*C(-QTDA
ztj@c<1sN0(XIXr8)d21d`v>>NDWbmb|0TLsN+9QJCUv|XhH&A<9edVr1yu4;cccHB
z2pU{oGp2fN2$=Cm*%t+Qbl@vdv>=8LC09FM2z_q|sbeY86VbAW<7f7-BeiVEy8p-v
z6lVyb2fgj?evw8WX8h*aTo0nT)he@UYeVRjE4b$RT@q=3m`~Is+r@eQTD0F-Fo4Lo
zDsj0waWt_~8^1j@jQ_cDm!T`r0RFQ6ICr{O6fF?Oz1BVtVO6&kfOC}uIW*XzkD0<K
zfGg>vkH#AI)&2R;iykDXA2Tjd20`?Yg}3w94KlD>ZGHFlmp(A9$;j)u@}j@r2ZxUb
zP{M&>2CoP+eRy+o>~>ofC%X5~ozP%Q0}EdqkA!^!s3{O*_O)h1qlerK!;R_S%CNeT
zh8jTr781QI!Gdyv$IE<z=^-zF24}p80hw+^*6K|Ll<2kLa#QpmSZCE#=3dc*K?~8-
zmU1-cU8Z@Zi}OL)OdUCG5vB_jd-+#79S$JnH|3wpY!AY%B|}nFjt)o+uYWOT*v1!s
ze&#sCa}X}bh52>0YlB2rozOkl=evZ)vQjNQoVO})v!>Ao^8m__M~|lPwO>}t-RJ2+
zoPqnkp0O6VrXTYB#_}7-2htWzsOiD|72QDZQ%ztqTkcWqDZ^<cDF$Ln=|K8zMZAB%
z2Bc5aw`#m-#y-)4lt&;Pl!X`%`>SX`z;<czqUaDNeMb3Fq#YgPUtGZKqSZl`lIdHl
z-UK#3IQ7lNh7Q)ganQe6Q-kn#_!2|XJeKPH&Vc(G9b7hvp+D@b2C>2K-rtvA##l@!
z>iEm(00PQBnYXJ#?9Q{ZJBDl61ku>iM35djW(LCeOjIGPcJN|?+$P35^-PMPh#rJG
zPqUt@QGwf09v`P>{$X?PeLVlWcn}H)dug{xD&Xege>fp(7kf(b;x|3Q0IDHrjDH)H
zq48t>+5BiSh|X9DW^gzJEyotsxNMZ+P*V$$xrZDkGPh4CCosZlY(iu9UnLkgzB(Nz
zL;-Qh6RC&DnBjyjop<I<C752QJo((45=N>{6iGHSgO*=*o*IV|Bwi1tI#f#qxBspb
zd@W*uAVIE<*m5EqEXehnl%xTVQHF>=g@-|`u1;*vkqG%=<-DD#wBT*h`XI8N6^cd-
zE;TR^A?!_@ysgB3KiO^)*8Z^pLkv%&ZS}q%$xv4h)E|UlN9@YcBOH*%HN7fyivT1_
zRgQ)Shd@U~sOxtXCp1t{6;uKNqOPcA+MZ*Ai+}8?|5|W^<INzS76t;?r(V_hUC0bV
z7Tg~b{_#Lv4S65bD#F)czGf=K0<On?*wMG}fdWIfit2qu7-DnAB}NZJQvQ!f_G$r0
ziD)K0Ii(0TbLs{E39>=`#QFmPFCjQi;<LywRs{B=m3M}H*`f2f0J%}PFg&|f@LkMG
z5vI0(oL%YRfWTF{r*F$eAZDJai!DGA-fAUN{5-=20VeY08Ec~Od5?J>RV%{%8d@6F
zb#A!xx#4(+p*RRJS+zNH5x`M&CCWaZ7gCR;@R_Dd0Dp-zS&%CMzHbC-a0T%LR+dnx
zL@fp7GX`4n^#s`c{HQI%MGzVuPUu%(l?L+NlJQ$4BKX`mXa2rO2)Y@U`ZkATz&Xc|
z%IOyo#P59l7*Ht;I%+J-vF397-sMOA{IL?m9FZ*UY8HW$<N8Pb?0a}*yPM5rdu8|`
z+b4Q<R21wYZsgU?D?rob0+V)A6?i<66}Chs4u^6@$_5V-z{)+jvC>u*q9PA*m+(r!
zDe`$%&c_7s<1r`{4^abs{tt_*1W8C+3+S+$AwZY)cO$$`9a<Fw(Q$1lu=!+R;V4Ih
zqvfr3MIxH8bTdP;Qbii338}|*42jURA}${gr3HHfQr#IGGGJhl5&ctv2x#=ye`EAI
zP{aCd$f#Ear2a}s`c3TL%Q43W*yoRE;BVq?fGj*|OmWw~OaN+bI_88;J*eJpx|ua2
z3*l4-Pi!74LfZh1kEA?+&%+ZQ{}kn*d9;}<t6d&CdwAQYS^><nE9-?YIj~2Qm+~59
zA$sD)d)2f0P}Zc3dO77_LeRI)GFTdFG8CIu_Pwk!Ds{KJLKZAeXFna>lYj}|4j~l+
z3GV&PocSan3l%<QlEofkknpNf%Ep%jS3%U0-$e!nZV%nFZ59R}!xRnfSQ6Y^K36Jx
zMH+U7grb&j2>|!M(Z<+R66_9L<nXqa0<#o{t5VtAP}Q81IQN7EcK$2UhT@XIPxiKI
zQi2_tv@(8jT_C}uId$#ZJ>pQ@d?n~THw#oXY-I$?k|591>*nZfF{t75PMKgj2q{SF
z^M51yV68lB_=isv8cbThCr(p>xgPd_`<XrvN{cBp_WS3$#+;8`=pMFE(jB`((1+SO
z%O_0^LXgvV_JIlWI#%wtM%ZfsxHO=Mcv%I&O_i?ulJx?1M(m30Lw5jc4VlX;k9dJm
z(;?`Z>KL{;Wt!i(ivfej6($*BZqQMG8n-k38&ipVn@6L7L6VmAU78^dFcI+x_NDB=
zT!%-9BaV9T+r0F+c>^0*no>3-EY)E#9i;9b(YjzgCCuQ^cNk>V)g=vrtFVws_1)nn
z9Y}PW8;jVlU)}dl^~|+$jD<r(K8HpJg5TXrOQd81&08to)hjBo-zhf~gUqzy?^~sJ
z6;cfFPuugopJ5F~b?#!p!$>V4T2>TOrqaPqsBc46X(P6EE!L{-w<a{;GUg}jX@I%C
z<<*BL?O0Er--dyLCfto_Z(((!0)kQ6ZufdOwkheJRr^2#>c^X>@4TV_?q#b73-iA*
zs{i;)<%iVayI+ZOgVX__r3x@L${ofu85Gq|fjZD@E-<VAB?F~g9wz~^QA{ezCz=11
z8eGfFN{GtY!}wbzuQJ`3z$&f@xSwWJ17RI@hmb!z*m%4(w=(Sv#-3%TG!>)@zpv5-
zT)44~)xUY5oAhoT+f?D_DV|jU@ldjFB4_?#bb|8FM=BPvV=LMl@#j@QJE!iO{i7``
zEI{@}dhRl&oaf+kuU{F04kx_#+uX$dWs;IaU$0_ARPe|7j4~|moeocZvx)T^#W(7F
zSjRqX1>BYBSAw;_pQTakCN{f}@b2W`CYD-~PO5WJ0<YoJOOMMpu>+a$rRRjUv9IZu
z8P#Wqu;~;)ewJwqE2I_5KzDYrdE>REfIuSDDQ%3HC2wKP+RCwFcgf)N1m(>LdLlS|
z36Es3`-gqW<}pd`CI?}1H^G3H1n|w;en(-njrombonSGb03M~HX%h_sgpcRz$hz)e
zYOQbZh(=1#>0G|d_n#sN7O))WEZxOIO?g%gys6<C9TV0#tpHW3Vyid!$l&F1?^oGG
zT4-(Ov*=Y-050a5S7jSyAhXLiVZ%cYKmWwZz25gw^;NpGOAF-SIbb8BD$4-RKfbq1
z`zr_MsJvabDJcLJ+O9i$Fv30Oc`~zo9+xSKDsgL2f<<J=XD&}>s0@4j?pUQPc;{ZA
zEPg@-!44G;DOD^$8OoA%M^zShcKWVwk<$QfS~<Wg%L>Oke{Hl?$w1Ps1)KW|T2L<v
zXk)El1F0c}S#N6@pqc3Y{@*!zsP$@QW4OoxPJzA@A6KNI?PnWh$x#L%8Li!n*5!iL
z_>(5*a-|`N)BASDB}QnQJzXoK$pe(*m!ePjNW)?}Rp;;-X83jH^EXXLK2U$wSpLUU
z8pN$R7iv;jU`*h)_GF;|D3}IX)oMw@ca3{<MVtHcNX54k5-$W3<lFyon@B?;PC+>D
z#|E0u^iuj~gyFGFHp_#3-Yq>k=orMv0Y2jP6QArwp^o;dg7jx;7`VQ=d%2MloJ1p*
z>juSOYP6)Lf+z!@lm6BE=5T|PjMK5+n-XwZP=|1(T?T5hS}q&p@WT9$smL*DDd1;}
zx_U567TOLTRpe^qhld~9E0QOrq5t|PnSy*d=!(AYBts*#|Bk~TTq+CSZz;HbSdoXa
z$FY>MTEdY1bK^;Ss5~$di<chWRRn&k$Y{1;5zwCH{crTRBE+|7J`T+%fLBH@!^<X7
zh)Pl3PJ2Xv#Vx~SenbTI`%(8IM8v^*kb64)G!a(L#H^_8D1n{*frJNlBw$4|C@_Fc
z3Ha2*!n9pg;8TYGrHwvG*il;^<}XqL8<DfDgUhPGw|ZxlohS{zJ*waQ7Ey+r5QF&4
zTy<!XVB_udmw`JuH`GR5l;MRpL(IisO<+G;+R2qI3#kq<OYH8-;OL|$r0%8-F2fPx
z>~G~D)X~&_QBoOHzSg`@u-ApmG5M!uPvs%;xmDQfbS3EheOhtR41;^=K69383J}{p
zz<;of2s?R6Y$eeE6}VZiLAnCy#EF_i1p$&v|6E(~)`!U4LvM#`6@b$J7ynGX0-S&!
zF9#GzAb!)|X7Qy0Y%f~eXa67zTXLI=jjbe@wwZgXO;7+w?bk-i&QkF7W}erqsR3*<
z`dqBMArA)<^1{SM#elo>g<MOr0f^7sdK4Ta2MIdU|K#0-VTAQ^rG2dd6iR;(*D;U<
zz3I8^A{svMkzsVNtv3LkzPPc<U(#^cliYKxh#jgVjwKv;V*s56w(8r)Qjkoi?4UEi
z1U)u3oO<2{AlKDydNWA^bao;hP?k|abRtn$fyV&&JE|pp`oy5l^h>no?k2|QtFG{<
zlmuN_0Ug?$qQGv!Y9;t*43oLk$Q^A+0*xb&ZRt-6!;pXX{Q71B-hOQ3-tTYvpd@r%
zni&%Wr}d^Yd2WC3qVc6#kz@L>-o%oWx6BJCH#D<)I~Q=yZ0}Oj_I+HKF_a5-azXLd
z=3S=4Yxq`j+CwiJfQg=$dOd&GLF&{H-{7ZB{5`*63e9^AD)P6+TBTV*wN1RuO=KIN
zv>Tq^sM7<be|94yIn3}W&+^>E`#X5t%!TQSL0#xsRq=gN#sEJP>EGadyZFz(9<yq4
zU7*+Maew`U7IGPgne#%sIOT9au7I2l+(^#sX>Xte-Od@F;>sP|%<KM<myX(yITN{a
z!h;-2UUWw?9@@b_?hQswCTaoUV#Hy}`fbePxv1+&m2KS9<CjxpuO@J{87b(xtz(Dz
z>3o<>{^6PG%`QTsnoyasLVn`q64s&nSiR@u7S5{O?<I9r1J0cpEW7%320NyEfSGh<
z6TiRK@2pp^4k;rktrv_(F{5|Bd12`r_`C73GI9}hu)IX^)6}pZOI|6ws5P^WdlP=y
z@!eAc^H;HN<8QTNj`|c2ew|*&sg@F+lEziR=I*yMQruP8<5r(YY<3M7#MMqHS?|wX
zaJEO${Y?BtN{cJ^n>E~n;mCzzTm?GKAIa69ufxr?8`6o-*YFs+?>bRRDscHGGee$H
z2Oj2|Bl9VJ4YyPL%9{N~86s^Cg|ZQP@UYa-w%CC++<)K%)mJfP@JsY)(TN_!86)l4
zE|{(3w%<yve`YCxU&HZgxw;Yj&iM1SuHkjuV>r68N<s;;wCMN9lSgqEx08;qayM{>
z<)U*=1w=SSXSiTsGl5$N|9RY$wuzU;WsT*j6Cpi+>T=TF6uwQkUmsGph5z6Q{S#eB
zfS62wrjDFh{2`0A&sl+OoY8(ep4M*Pr=Ai6sAU%L`hg!jXY+ROR~N?#^uHA0e*gdg
z|Nj)(cQn`E9|v%I@4ff@_*kFM#~$yOl@=P5LZR##l9AFkdzNG*86hD>Wya@bre&v+
zGBP4FWaj7h|2_A-?z#6oAJ21c@d+!EU)(Zz^mA0lqVFF0>VMg4jEt&Kymwwi_s<I1
zE$2)%Weo*#FZveEZlnSyPF9M1^Iau3G{35&>!(B?`~y=JB9&n_k-w>KZ;d?vg<&F|
zgBrQZ2C{i|;KA{&%e;EoU-D&!Ljhm?X%N*hpRZfocqqHU$y*z+NshmLWioS}7ReXo
zZZdf&fn+JpyWe4(oIn=4|FVc44R4;ukGA9Bd~?AAJ^x*D%7rAZYu6ajn<S5a{Wu&f
zetcg2wQ`Sa%_)2RZY(o;BAXRxo23X{)_8V5c1qMA&K$Pg%8Dv@;yiZP6hTI$Az;**
z3f;;+noTRhftHr6-}<L2z|Iom>#_lAB)I3)svpFOR;KPfO%YOn$9tcJr`>2#os27!
z!aNu1ZV${jS0xWo{hCE%;`Auz9FZv?o(JXW{BD!5k%!LeC^=yYMznhE%=3vOe5i4X
z?%yeTd3cfYaqu7uGy2$M{M%Mb0A;CdXLWbU!F>S%kK+ef5!Zh*)Xyx1P+#eBis}b)
zuv6w<d!UXTEzalKRHuue;#j%=lH%lmP59R-Wi?J@S296bWfn(0bf9`6K@RXQZ28;@
zxlm$))qwS|1ls&yV@iG`2iBLy_vT1E$n8sfspb(W6p}ok)%;Tqa%vpL&@Wyzy?sSx
zdr%r(5!T)nJ0K6ul(#ruweTb9t$SJy;j-wr4U_eeUU_gkT;J~US`b~_!&&L;$|J&h
z1NGS?1?ZsRmg}ApMp6`7LpB_WXlkJU1?@FONH|FN?;KGK5nLHRFK^;d4bHbF?FkNe
z#sWT?pOiqjry1v?m+`0%`;~HE3J((rKU+`cNh0RPJCat5DoE+fCS~hSWniMD3su>X
zLQ+22so_CtDCybZCgp8aC}?U}&~uYPT+vrr^4!%?@NhxkqJ}!?x{=P-ev?IBJOhvB
zj}Xx7TQ3OixdgzKCZ3HxEsvbjcKTX)h)5u2^QIq(1pHE=a-6*i=u5g{hJGCp9hJ~?
zJG7|*{z)H?8XDoyn;f;JY8(l*|2V-PFs%hgivqB)2TJH!e~e~?BMIG^PaPBZs{>VX
z-@a^&;F0xu9s`9H2}S4Imkx^PgJ$i#jm)YtqU7s%x-w5h*TM7>`H&%)7atih9#lak
zuKeyVw2A1%P{2hhO@ON}IwcPWt0GLLcmA>}0sVNQC(5L41a2CvX&*kQqM44myyYP^
zq}C-tEhT9TtlYo4X9iSJ^VZI<Utuapki90?X~q~-n-(T0<5ZE@Cc_i$Q5-t7mf1&+
zF@bvJse3T3f~<`KBns)|5oh}AqMpAdKxV$2@^D=l4er?OrSVInFs15VIbBom)$6f%
z(u7CJY}Y8CT^2*(QneZ8R;F;7^V)Fj0VQ;#8dXfl@}o1)oBVY2OhHsc$DQSYBGOCQ
zvk<<_ffgFxY`&*9g^kGavY$Qjh$oS6C4rR|d276qeEZY{#B5rELx0O6V$B<_wdysp
z!;r!w#RDc#^&r<pXIC1D6l6p?W%rTuAN8wW`Ctsz1L0<xY*OfC$EU%)^W)gw+^u)+
zM~vab%jb^o6(o>maG!%P-zw(YpZL41%?SQhgm-V3iXc@Vsr#}nJDABoKHnjIBUnuz
zyR)b)i1cpzHHu@DuxlR3lTZU-)Kp>XHp7dgPyWggaiWH6oB4IoM1V*9_vTNHaG|u`
zsab{&8u->FYESmSz%zh?8OP3n#wX;9$1`ZbL!JJXb+92Qtn%nw-C;r{cIRrn|I&g<
zqj@(e*#Kw`z0WK=L5CjFt8K8;(LwK1o$RBP`oMKxg??L@3N6GWA<=KNp!b;Ti|!Xa
z(4HBiEqb^^{xU6PbSQ-uB#P*N2eRrx&z3RE=;t+Z#3{>49c5bh5*x^K_OLEcz9bzj
zOkO14>AyE3xj*OIa_R>bsX8ECez5Of?N9P#l6?K~3p9ZGH9yo0Yr{D_%199YM2>#>
z)vA$&20Q|NoS9X%At}u4ZvDmQ<nWH6x9)GKp}c5FxHnD<7PTuPQV8vsO@m3z_&sV!
z6#I1O!Hg#GX`h#S8TJ_)t-WFz8%qt;sz(h4Ej1y*H>z9k<~T;sHR$iZMGb}j_@w{V
zX+YT8&akh}3^t|XXHZy24Q97n?rte)fPVdLp~=vB?3%e>svQLl(6uz1uH=#cw=&Aa
zq_T`zF)tTNdeFcn#Vggd{3J+Q#yO6J{lSI@GH93o(7?%Ki3F7lB2=7m8oBgj4Li_z
z!1YxDEqrpNQ8E@Jg2~(#qVN8T*>x7>{1-?E9$xCXGx-Eyt9iq$KC_9XouXED^rQy?
zmV|XNWdcMwGD!TQ*ug}Cj)~{SGJyB*#|m>z>Ts~E<x+*jKTNw`rl9scBTTaR)7zg^
zhqw7^Bj)lHaJjRe*;|hp1_L<f<LA}j+UrS)@`IGn6P}RJFvtQKtP;hUNoo+U)f3Qq
zg$kU&;?8U?8+0g7=08_cgO`cSZ^^aPaHJ?g_`nekkcmrLCcIFEjZ1uCt<1E*c7QWY
z&xsShN(fz-=TZeR8tIMsU^+PN9us{bjSG%3oH)A^t^&$g=`Kz?^q{<L<mWlc4MTb)
zi(4zoz*rqzYM#dk+%LTZ`7C(h<&j3K#b9Mvs(bl%(3u(D+>jkH_{s;gwVN_$n3Un~
zc)p3nVOB7mmhB?P3&5dL`{sj{c#w)b`C`kK9juFMeq3@80;6JX>#G;>u<hwc7U<%D
z;v;9g*-nc<5?-3+p9&tPDurJa>~KOJISPbA#K8aB@-I9G9-7`vPu3sg25UQ>S7VM6
z;QC}Ct(^%ElU%_Y%auHkZhI%+?w%w#GUaK`O5(wd6!hYi8XxSen#BdrNP!8{e7eFJ
zJh&^~baCkBhxXz-6V-=hAn4ies;e*X(5Opk+M6f{Di_PU7s#>@|F#q?wUwdJVS1|C
zRTv_>nhmt~{d@2FP~G*HGFUCxaPd2eg7f3D=B%#@06&D~zr0rgJ=%6(=PTkc$zK!r
zEd&Q8m0k<u)2guNl*E@bC;`@mc(v2Qc(6M+X+4yu2Ks&@YR7jZ!REB$pNa-$XpA}b
z=%%+i;OGr#m{p{qrc5oa*g_Tj#lw8o?Ff(>JSDR2CIcnMey}HAR0CR1=c6%xL>L+K
zV7pc#3!^2%NB^>`gNDo!G4&A%n4)@X*7iMbXgtK-RG<!0#V=3uQ)>eG?!7O~q6$D2
z5#+thNdSH)kP5i21r=VK>sp5up>89+?S?G@IDFI&%=7C&{_$?lAI>-kx<cXC?n8iM
ze@tz%+I3;#!2D?Pc_lC(n18H(ga9k`1>-u`^+9%<uee(a4{Vn1$r8WSA^!w}ZIq57
z^k}R}*-hY~(C(?hZA*2SD7sUWF^z$HEuU-dS!FO?YXTIg2HihCrT=UKxWHtUXqBl9
zj_1m`=8y^``gPs53o?S?aveMByUK7c6W)B)!GkoX%eFeFF^Cf3%$?)P(3v4@S>&z=
z|7;nD9;F&XBWFnQ#SeIx%XOPBc9R1V0Y6y$+Ze9ilriyR#zR4eh0~uC($Jvpp}Qt$
z0<HXpmzg+~z`m-8bIeQvJRMno>0>4!xySP~YElu@+)vpSRSCgcx*_XMEfesbf0&wa
zTLF-i-YWve3qcdd$l^REa4Mdov`tJN1XB1T6pwR&Hun~1&SzsN`M2`1HA5D>t7Z(i
zSLngG(qVfv-WWKa1}ZL5$v`6$ed$^_1+<ntz8{S@hWET27stG$fR5#*;qTB@jM}&N
zSkt~=uDdxA5?>_XE)7@4%{xD_fJZkCl}{N#bE{U>PJtK**j~<cDSeG84Dd;OngIAD
zm*~z~B@C~2=1cxi_mI0J2lKf70V2JNA8}0!Kw^pMTqj|SY<cjP&B;v+q8gabyBy+!
zi(dk&A3UBW$6VM`f6j|RMdB{eewZ8Rc-w}ajLwm_$2M=TY8pZ*WBK!}2b`eYQYtBB
zzCf<NXjUwK&HxUE9vUf^V+U_H(ODd}NS0Y2O?;iG4}mXSp1WRRhJm<>9%s=-az61n
z0|(NBiy6E3mjxNXI*IeCyy61+W9Z?(wA;E6a(6+rNSGGZSx!St?r-u`)u-(ceO<Um
zx0XzGi3-NUB-$>Q&60=s<j*Qb>A-cH?>9MlD1ePw%8nE~L*AgvVEoXl4YrPhv+BFs
zSj4o+R*~2g`A5MlFTbodNNJhoRatLfc7gtHavCPcxGWdLR}oqutJJ^ZB(;XEX!|I$
z*^QCoxO8$Z4{O3un7?zx*%eH+o<i6};5%7EG;5mDP!oJ}x!u|(7BS7cS<NaHU&vJR
zIy17x8c^6#a{275IqYnxnz-uKK{9twr&$Gu2FSVQUrtk+!9HE9nyX3fB^#Sp3AjX(
zV7Tf+!>srurf_aoV!7=d+4KFhmFy}J)?OrijE^73EO@Tb7Ob?9qggarJG_V>U*IxA
zJUfc1D2~~)>Nk-m<1OiBrU{T<?7$enG=in!##m2>SCJVu9Ja(<2_QOI+1>Q-3no@<
zuVA8fk9^jNS1Ef&9o)UYw5LQ2VHJ~K9*Wr~V}vHI-C$pJU@HkLDZf03UA35wxRzXo
z`E|7BJou{y@;a3Y3ZMJ2k9uXoT~0Mv`QpO!zc<z3i`GMSwX8m@<!ALWlOP!zoU73D
z;#Pw@zOyj{Wxd$Df#uVlZLJvnmV9!@5mk5`GWYNsT`y*9^s6v^suPo!-0Qp>tO9f9
zd)e7VJy?}RLe?O~d(7L-gjwW~GVJzTS#6H!!Dek3Gu=6Qu-uZWFN6_1h*lTu8YcH(
zH){E=(c=2BadT<CmjZamDUdp&)ZK%f>ZOX^Jvo5gTudy#entuUK98Yn=*2E@9Sr5U
z`w8n38shZN!@&(M-nOJ4z1V5Hn%}akpRt=>Eln=7iV)0w``l<*ANI;;(pM{F7)yJh
z=WV2`2#UmaI=Y4Z`}0``Cn<c#vf6PcCQ}q(%6->uw|xN9KA*qi5HpHZ(akDr%*aE*
zzzZ)U{!ds>s`mQ}eB+q6B9kNEzB8OlRL<`+hcIS+D#E=t6Ie)_EsKAt97K-%!*Lw`
zg4J&uK29r`#Atb<OqJN>ASkml0H;2TaoLr>(JPt80)=D@iD9x3T;dTmeQX5#jdQ-V
zH2e$O*7VP~{7VM<zvd2gKKX&wy&*}*9sG?Q{}fR&ZZ88QUmC?IxiPH0i;(TUvVa*4
zWzP8wNJA)t=z~-D#xa|plO9Kxmawvmd~s~Yq@hrEb)!?`CswgpH0+tYf@MX?j+48k
zU~0STN$t)gHjBGS7_eT&o*5{({dZCd-dEHW-uN?(8PnX-!H%qBIW=?P_QR6kV!dU<
zC_anPW&3lCU*5oK+3FtJx$V1n!#AlT>i7Qp7qpE0x`iFHOrE{_R{|*5-`wrTEn;OQ
z!75?bcd@C0y9G)~5>VXxC+i>cGPcFm<G7$f0gQo?k%wd@pw3>0efIGRMoe9dtna6U
zACq&}PQ{2rQ2CIoW8i+C>iB;2%B2RLXG2*A@5LaZ<;)<H&pMVGADGmdNej<Pd(Ux*
ziUBQWmJaXz4J`WZ;M7JZJv^aydH6n56a<|qk89CwV;P;EmpX_{pvk^)ziL7RD7gPf
zw^Z$7ZbGW*{$nhV*^6hfv=@Q-NJ+|1Cn!L9&X@Jw5IZ!a{B*fJDGc;%JIWtdDS@N6
z`-x~OCzSC-rH<YZhS=N|*lwW)g{%|}yK~$iP(b>qLK23`8z*I#U(*7Cj;?6fffv>s
z6K@Ms2m|fG(A?5>da!%9H^H064--K{uX$&Mz<Z7)aNU&&1dER(KHd|Ab?mE5^j{&E
zTv`qx@Uy~g%4|o|auE;`HP_fu5r+0-k8gO<bHLY1#r&{rad5KVb-0)%3~WKH(c_Of
zp;#%f?ZEy$InvmDurLsTS^tefgJ5ph5P5o%RbCpJAA64qDT)GtB5=OWj~61u>~l}C
z$^v&T&w)c8VlX4;o8+C%4>u!Bx$X+d1MTn)fdM)R$YJx}6I&OAlTl@Q^p=WHk*atV
z<B^0K4y%5;I1y;C#kc7fD}mO5KJG(qQqcN!S32aFIN<MWs9qOVfk-Mb-VkOP$oWZ+
zHOWhYG^<Kos<j%BMaM4^S>+%zCc(MzwG>?4eDd`4elOB!zVBiXssOXgVwv56GO(2D
z{89Kf0k*XLn!eg8!Lf;JKQeXY;LBj&tO<?;a@WiXQphTh{Z8HH9ESo_(q1^{Zm9vu
z{iga)ZPekM;p|8Kc|{;zn=ih2P!kxW4K0t|BEosu{;Q}%3CgHJe27*Hr1X4v3|KVb
zgiFX?U#c?DCkkI81!_TqlA+5}qz#xA!;M*ORft^tClIsm5WTaJWy%9R_+1|%X<@4d
zZsBJq-tcI_X9<r#ytfSDuIzH_p%pc7^x$ACQ_%$N&XsiZ3cx(3%QfCf9eOxPVlrJM
zs3bpF3llYlTX)A!9etn<tCh4Lt@h6gj9mqv&X~X%n(o%2LUoX)3~xncYVbAi^4nEs
zQ}}s&$xUOwpQbDo3JU@rmhOZ+yrOIdqtw@TO19J>=!SYQaaayKS2J1Yo}0miKuXH$
z<7)8jp3~J=-jeWL{~iD8iW$_uaJRm`r~>Iv7$Ous1z-pFR^a!t8Eo&ZCcm4-gZ=M8
z$L4%i;OV)))?8->SA}Ku|CQoEj4k?Umc=GU*Z6Fs{)8Efgp!&g3>Bd6U4u*f+<Wq{
zV#SH2cc!p&>aJyH^L~#Xl@*q7-X?$NP`}WlY6>5%Dm+0?8h$!p$1BC@kw#@q1|iM_
zN<*^SB3mRtPBvdN$CeFc<)8U8`OO&cn06dD5`l+-s@lARoT#Ublv+qMhUypP93|QU
zAZn&jKJuI!Wj@{6HN0g6eU&v^Vq4s>7A;b~vBZNCjuv~+uL00IW~53na{&DW#Ra-5
zUeu`jK}_@lK)PdG#P~M`2ujVo^qHFvHEY<v$$g1|ZbMsKq&XFEkB9E!NPI{_i+-oA
z))1J4V>#CgHn7maNX9XFK6ExSCi~ty0~q9z;cjT1!vw=37-J~-(2wUoZ5tN#Vc}GD
z@cF48?Dcic_1Sm4=-&F2bE%X*1S?-lb#CY-H?U54wWsr<J-V;qtIm30Ujg&c=V!=I
z{8s2pF7TqwaA_CIr@FAipuJ`;{fCU1IDSYl;6=uHr<iZi>B1`}|4?b?O|ls$$3L6`
zFFMg-&+^($2UvPqle}s6$iF|{<qneLMfGl<RQUR|As^2jAIU+5IG%9Kw&?Pr7Y{Do
zUoh1Mazc;GV^<n<By8IHl`Aj0?ybe&L)HRLm57Ft6gq@`KjCt<oEK>ZwJtduYr(oi
z<ikg|84#W08<$2#KIE-ptLyt-6Sm2@=KLW{=+>46%--Nb3G8gX0}h(-{oQqrqC+g`
zWWs8VIS)UY_a;2KwXOkwdkGH@v9ck94|&Oph#xh|_h!Aw&;WZ!elz<nc4S(3G5Tk$
z0Fs>+Z*(=(01N$ktGBN?(Cav}0bUP5B-uCPH#Sd#O9RbO$@!cpGgTqe@uCpITKh=>
z#UxOp?;ALHlMDG+<!2;^3M2p4;RB&ABuIag;>+gEjk?+vvyPOCAd&MpKMxfWq=fgr
zd|}Uno*xalD7PevE-lM`@1!7sYe*m4=Tp3>sf;xy?3g$@?ulPi8X-c!byfVZ9Ul_G
z{rE$;D1q*IPd+wmBLa(*QSGERKRPk2TXa@Q5|x@0y6bC*kkp8&jU@;m+Aa~h=^aT#
zJ6fsb`jQCud|%B4)(E1hmY7HHholfOW*!7z6G7kGM{H|R2zl`KI8`-BBcbBG-Dh8k
z`+f;*UeyvonTn^Mk3Ez@$8mF?*{De{)*iL+C`lAOjqKTj+p=g_Jl2Xsj|7)z`_8>u
z5JQPCYf|+i<q&RSAT;_W31XE57>rdUkc=f6k9_1&b`T4n><9^zle-fnXC=`0%O~_y
zPAMQVW$B-YgBqYLmq#=BSQ1I4uxUDIC?fKzYv*LU22lPTnEL4@g~A4>8t>ELkZE9W
zgNuzO#H6vPM5{=nda9K8wl*BHt&DXqUe^Tbt2x?t7NybnldgO#PbEZ=bSZSOR0}j{
zk~uRgWKiY&C!gqLC3F)1AR)(78`Rg%8Fo3#qO&J;d#bGQ=*N91q}0`c3rD6I#MtFf
zE~RORR|*~tNEr2a@#uo0G&9xdN;$MK@P%tC8;?F#T7Sq`*M-2Z!fe6@^2k{9n#Ykq
zJj&iYLoEEJ2iLnrpYhbmBaH<kLmmM<qLz#zDYWRroE$|guZRNjF!pUY9jk=m&4z<6
z6dC|ed55rps{(rNm2!-}1&8G8wC0^c48cZV=8QzT0($)XObF{cMN~{zOE$tV$XqB4
zTX?8|T=J#X%^xWsCpVRU0V^25dck_?{`%Qj?K5W`<WX0wG{w#V0KUQN$6vW9pgd2Z
z@Uv^O$ap}s#xfS5{f&bqjer8W6IUvJE<^@}dFXuStOuwO9KpIP<k8}*wj*ncQYh#4
zv#GM-{eAAnM;(!qM@Q2RM&-FkBFc&cGulM}HRbaBld*E>J`XcFy-ghDu!dO2{{eV^
zz%l7?zbtwl$msNLSOjhV{BM?N7C<1xIB|tl7JdJ~b6QDE2nl``x2W#l-+%qSw6UHH
z+P*Dj!J5I3xDtf@$EyGiPuxn=Jui)v<eZsW5A!0XLT6j?7y#|Q6aTeDNFlb@ZIN}r
zjTACx=GTt{+*7%*9&=9;O&1x5kwZDr6V2mY^Lzm8wXd#E)JdQZW_Qoe&$6RKP<VZ;
z0)u?Q((1!nakOTr+!%g=72!3tBQm5hSo$XMt%X?(g?+o2X>*Dhl^y&;Z<=lhFJu36
za}5wdqz@InzZ)2l&ETtF;}nKqRzDN7wIGDnm75FdVi}PCgAzMYF9SFki$*1)1kr<=
zK0o@a>CvkzBNNsG`rsZN-qS)9K)Bx0<Dmq4WaN|YRc4?M(?<AixjjDAspItP{4O1$
z8SpzrU#bTN@iPC>PxB&LC@$P$qDPt0d^K`BdJr2#%~U?egJRi^6y~3#M;xOZ)DQmC
zg|EkX;x<`$(AJ5QmW4g^DB;%L-p@Ze5KtE`nRb{P32~q9x4O!Je(dV!*}Ln2OAC?Z
z`$H}inUcG^dYlpIiLFdnk7~oUT_1Nz0WQQoZB+8Xf(cQlX?^6h*M?;pi@x|0P9)fP
z>*$&{GwMGS>DxW51)=tLUg}zMB5U5pp_5Nokk6sR#_i{|;JZz0<Y_ieq<?~KHEutr
zT@?j)6=pQy(xA*3^Ara%B1$t4C9$LTEWO{=E^ESP!%fY!0S>fwI7u(|E(eM`z4n5a
zUK6N@)&bgII1o$uhl2nA-%<N-<ncVvfG)0qm<xY6Q1GpSHxtfW=wP{FmA|eA{QJ<E
zcUy`R5snNR{&V6+6JrzsLElJle|lca&Xp6<7AzGh2k@X7x7BljQ6#|5`l$srbD~~y
zq7rW3(>Z~wj_(L0SaA2<D#mf4!TP|4x;K2tu!z=VYMKbOv*eMXGA{JiPdFf-Ljcja
zj;rVu5#d6v>p3cn8_6#DtK@kLBK|Zfp=0huD2h5)uQtt%t~a(kwjU8f=Fb8Y8%ad4
z4fk{pf5?Nn&SreJyC8xLTih3<nTYU{fsjrW#Ea5veRya8iK6V8Ru9u(1km^!Zar<w
zhh);jYMGyjqZ>K7mB0E3z_MtWWpaWaxx3MPCp1c+nhvv#Kb-`iWfe)1a1=mFK?{;;
zrIN_6IP$Me*M2WHr?d9@PY{)l`po#|Nuetx{;b@e32>D^d~Lc;2vIUd*4ICfMvl&&
z!uo3jNU*9oEk!MYikOUb{}#z0wY;XtSxF)U^{m=DIEte3yS5f8&ty@8c;bNec_PeY
ze-?=B7DG`_md}4`l0z^3^Cq<`i9nThdNNX80(E_jA#}c#M+GhOx2FI_K)S!!N$~B4
z^hwVJ2{fYnd`_uf0nwaUmf(*jf&Y1*0EI?L)TN2N5ARb%lmFrOF0$=ABD|Q&ktBu8
zZXR?9Z^faGLU$H{3JtJI`8hAJpBwZ8VaE^UE1}CnCGyPYG(mS<8tYfzch2H~SC}&%
ztw%pJxh1UyemA-ly(nc-v-2MZb82POhFfK|+17&OVml~%D~tXn20!>1u8gW9(svI}
zXhV-!<Y%e`Ipp*8iiKypGSal}IG*uY2kbk{eiiD;qbMKdcK)x*$nE^q_1Ga@@O?|2
zlR7MqMkM)}=3XeH&*5e&CBu5KupRB$wV%)Lj`0pgolr)&8{IseKlI_0IH~^1Ck14k
z^r!t=6&`sqJohmCZU9{o8^MA&MHIWH8A<L_Lhq=h9*OoELh{Qv-&zMnRHYbMS6Yul
z`~u{N|Ee*_O)>b!?Wc(T2LJ&7{|uLRIMr_$#_hfL-usAijy=E6L8a_OvXv51N+e04
zXh@;Luc1;R5uzkIk1Y+A2+1mhvdUI|{(Z0adaido&;7Y?>g!WRBB7eNFT6Y|$`ZhI
zxbE6VZ%s^J^*SmwtBzk>O_^J-0yNot^17;~iI$HC*Y3HgVe<RZ#vNY)K9jvVIo@hu
zLFiI?=N%PH-uCxZr!WnAd;8J`Tr}{E=Kl7bLrSPEd}|@km<FkyOl)<})RAja;MGGV
zMQpxsA^5!=4K6Q{yA_z!@zjSSPW?S{XnOsg{hY&k9T`?Z0RuIRE0@~&EmImzef#E(
zfd(q(!F@b#syNwlGA;gs1o{RoODL$&Kp>!PvU#rxKHNSL%v~#rUE1M}2UY+Sv@$Da
z4k#nBhi&yAA&kEy8>d)W0QeX#+3+4#!sQ(Wsatpi@%~b!V$%hH*-~!0-4R9HuzOS5
zF$X?u#$7WfYyoWBMtct(Q$X9{drdTHZrnDa>3naE0P&zlqN$wn=-}hTcqfJfBaYHl
z5A7u&J#1D?nktJ%#ZTC81+Zaz$;Xo6W=pVm-m;11kTiDv3Ez3Efd#wX#@WfLS;8bk
zO;G(SNfgcvOtZ~oM)sXNpFSj5K%18fF=8o!`|96v8NX%1aEnLdd-~16w7cP#`bRMw
z>sU2R^kl-dy?;1n%+29Y{0rjZX;F+<=m?P1XTmz(FedvOW{|W{Jr?gSg8BvDw*GTk
z-=D7ZN9La?<Q9i1&TSUPM2cld$bBX}Gql1xw96E>$4;C);vuwt&rJcH+RV6@>CWVG
zs|mc?{_KQJvLMD!^13YaGo$06aYBiq39KF0(~N2tz#qz-UrL^{-~*&Yo8=ipS^KNG
zB{KnJZr+i}@RSu_Z*7TwC20)uUK(D0C;9P^z|`>Y2R0nj-eMo0W(1e`Q+AG4@nLDd
zrHL&!2TI&(R8QhH0&YPWaMj>LhhgLGU;Q~zh)KwK`Jy3sZg?SZzL6KXrlJoCeB{DM
zJ*k$A!iJ#v^J03=WnR3^aAt7amj@fRjfK|UFaW=Osa$=@y!cnA&gUOHAMT6D8QDWJ
z0Ji@w@w_eI#eD~R_+8%d<F>mR&*ka*kQ=f3(O`}jcQ2Ht-tQJbXRE#L>K^*A@zlK-
z)nGovrT&s_y@L3%?dW37ydHdJu?zdf!jB?X)55i<g)k&UR!H}{9z5cep(?fTqnd9F
zb+ecVW~gpy|FBUH0*g-Xw%;j$rDIudnw&&&I7+gKYk>-}Ca-KMLjtHV5E0pNQw*s_
zW2YS+Q=z(I=k&KYL0oX7=4UfX;L~u?B)NlBIB&P(@NHcoT#m6w(u$Qt-B_JD5hE(-
zZ<UOC`bP+3k8$ZI@JVCY2eAvi>{KY%yYW8poiI*OH{TC?E`xHu_Z*FeD4;b{I2TqU
zg1%oqZaQ{C4tMM~lU-|~fNPonYtQ;zm5;w)4&9)DiZe3r)SgkGSM<BSa<3Tfcyzrl
zUqcZ$IUamc^@IYg-=A&2#3O-mDelYcWF=fvu+ki;p@6bFn+nZU64|tQtedQqQF+1g
zZF?sL%39~mG)koK)|NEdV?PzFZrnLEyhedO*%7ZvB^fLmW7@%fMir%b9@-x<r9!m0
zJ?qdzS^U0IP!v(3h6*yuaf8WJ$hR|2?As)dAL+X|hWgZTYB~3A@)#9%?K2q2icvtR
z=9P_yc{DMXq0s+<zaH%0SLJ~_6|wX`8%m(Q7G{+j<+)7i!GE^SZ`=qaEK~l(!|OuA
zi#NTj?KAYD$d;GcQ&SmxhD{{8y|i)LZu|5ZCj(#{AI@+URl&~1&m%q#8}MbUg(i=R
zAv`P_`MjAy6*I!A$qBMLI6PmNTEb@p1;Vtf=Od~}x{%ddTd#vc3W^dEe8x~2TYKqo
zgBr3&lX}h>>7v?bxo5n*2`GK}Ro`$`9iyC9H$My4MX7>Y_oWF_NWHRZZ{wzceIuP-
zn)`II+*9~G^FA}EEtcKl@=pVc_qGY_me9qZb9ut<SIl8=MP`UpiYD3@2<B+T>ENEb
zMrFP=7LXFTJR-KNiSLF?xP`Mfpvoe&4ScZ#p=?FEt&J9zZ!cl&*{_ZI2P8U<{UCsA
zHv4&8kQRn!GKD6sYN3#Z=vU4I0Dpge_P-RMg;%3m=1jM1qSo@&)eT($!u0n<5=9Fu
zGUIkv#i?UzhLy1dnFi_Z_i}4KYhse%4NCqwRjj=?^J^)B20ll-HxIgLVtCg5GuIQ9
zk<+U#p#Lrn?m7EwcNc45s9S}+(s4!HugjPFq?!hs?xywL8d1jt;n3LoD{>f?9T7mT
zqrv#oRZgaLz9g27Fp20&<J?S>bxk=9j!OCq>}FHL&v}05nsdc5j`QR}n`<<9%Kbhu
zWJv`*g>Sh{1&Lt)vj;Djf@#1!^?PT-fHIP0ehEH2Er^r@a~F5&(!h9jsQX*35;~JD
zSX)<lk$FqnpS%eGE55?~_B)Em-WfQ;TF8kheixsp-3Evd#~|S|3MeddXT_C|4I?6X
zNM9WR$YU>$vi8ei<lW(ShBD0f!kLR-{5Ju*XJ`#2E$j1nr#E-4i2=WhbsgVfO@P5*
zZNjEEQuuB7!^WV0f9VBJp0$0yYzf7Vx<+}wBrxR~Y1S`zg?_%;LaN}a1uO*`iC@$e
z$KHSzL6OHx^xQVEl_y!ipU<;Vl^LQ~f68U6f9WDUr8urXFvc8?i|sVxmKH&S@`hh|
z+ZX8`k?H5`-k3pqn$P7YjY4?Ia-m}DsYQBES+G&Cq8UuS?{RX<5X2XCGfcyBOLWP<
zoW^P~rr`egial?l0PZL;(%CAvOuzkCljBvV35169<y}+f$5X8(nfni}(0!tmMo$`<
zz;k}@X#cakC~S0kLYeI^U2WoN(7qeSAa*m(?6fKmme15_FLeE*&!*&WzRGG09l_<<
zGb>zpb>vL#-f#xIm-x0%D8dN3y7>FEIk+&ZZM4fhg%O7*#3RPP8^VVr3+A)7oTx~q
zS=78-=iS-rrz&2CpyqSP^LHf&8Y}c3>0x8R6Gs9HUw0UQyhPm-haDW)dQRT?ZXhe(
zIQ3HM=XL||?%#CVL6HLwTu8Ub?P9}#h(oWhb?F0>_t%SaA{;oN>V(s~IWT1|=JKGw
zK7`ZS?6b%mSYNcQO<?_8d?a4GAHVeA<qhV9FNZlWUQNAWqKO;ha+asxp40=6(>{kP
zd)C*xD}!F%<;BFNmHRbfdSG{ZKJs`FC!Ws@%;vqtk9%%T%ubY1;XjJ+zB&mm%)8og
z;_cUU-gea~XKkkf--cz`m`N_oXuZd<VNDQ=-1XXdS1G`w|401G4{lsij&mu~7sd^*
z*$eUtD8Qk9Z1)}xUX&6fq8CnzV9C}qj&FP@AReWZ^<~`;@%$*?dSgfwLtfm^UY4MM
zU264f^D2J)&wk;)g|9gJ?5X%!`-Kb=oHI9l9|)jh&Fs05KN2Wxt6%>rj|{uR1|Rw+
z3F7r<-ws^Mlfvl3n|<43$iUXI$E`m`2+dUeB{-sF@VLgnv1$)8Y`?jxRCq=hyNx)-
z8+OZ~q12|)cp4d6TO__-d?11c9`E5ZF;>8{{$kxULo%!}zZ2d%D2mO8i<RUY74d+n
zd8UOi8N6qUbW`-iu{vhB&NV`5y&pCj_Sll)XSRDz&n*c&Vg7d;^?@>;WlDaN6HEr*
zdY_^MWhs=~gmo!DRIq%&{g~kmGDL76$c(R*Mh4}Iq_lN^YO+5v*nfx&Dc;pLgQI1!
ziO1tg{snckw!83U%7Ow<-y1AjZI;Kmn{BmDqZ;^I?J!4W2?bPHex268rhowt19}&%
zweXF9V9QZ+Dp=nBW?q)Ah;H)se}}J=@Vj34SoIJUc=E;>cV#Led&N;+xgXm2aU?r|
zeoqgYZ>vhL+*$XxlNE#B3Oe}OLCDM?alPMUZ%k!8R>3zi<2N<UbTRVm?<=x#22kC}
z@%w7EDrUJI_Fxt#W2~?7mvdJPAusow+4FVoRB+Qohoi_S*Inwkr@;u^sAas|_3G%l
z<HoMEXJj-GJLzx3WdhtJ&3vXZ4ZLo6U*di{8HKyAH(3Xm!jUhB*YYlCVw3%op9h-A
zxOhpyhq2xaJ_d`|H*L|vlHzkrK`CTB4Lh7F)h$3N=;|PCL<=umV0&>-nT&N`LM)P#
zEFs4=c;4TOgxlK+hZEQNRduxf$zTToDZKnF`u9jE5OhaLFKq+P4GHWLP69abr^s-s
zdi}ksh0o_!kuXH>y|TIh4T|;b#!YicNRc6NY`d$8qBWgQ?9R~OAItT_q3$HC`d%@_
zyHg#zgYS%98d~Sh+p`C9K5JoDZ^zrJne~4cXFsB*W(8uO{ZAEYY9ZzMWz)WsN~q)3
z{qwk!6)^Ni+b%e3B3I(7nzon%+AxYPll-h;DD$bGj;jX7jahy=e_k3FEbT+O-K`)b
z)uHm6p*l8c>U(Azh~uHqNBd`ttsqvAIfcZmhO}&xlopyW-r~7^HITy!YPa<~F`}!W
zYpRQwV>Ca;l##dkx6q(^CemT;kTNEBe4OQU=fuk5Q||?0X>jOQ^6dphCHxojp!}6A
z3#xV7Z#$$$gMxK&8T_PxmXYICm8om=<IJ8}q*ee@=&xxfd3n6H#;RYRyhyjQ^(#*b
z2FOyhy8QT&3`(+gUT|UfO^=h&5!l5BFv>}qH};T1?}*8{iT{4lZx0jH2pa;5nw83K
zsY#&oRm%9}nNj+my`N+KVlAQ0?$?^Av=}lt?%f={{~NvVSkHj|Qwx}M+7*y&B!aH;
zc8o*I1N0hW^##S>=I|>+@@`$M5UO5bSTX7Br|Zq@U7OW2hb=DCab@EI*dsLE7PZh%
zFOph4tbWW4K5bcjD#gf;_3w2|iMav#cyhleSG_41KCt-06vKnfkHSBU<PXtj(n{B=
z1x<mY;;rN}b1rNor75XRf2WUTyMpZ=6Y%YcZ*ktpffIY2IHn6n>B;?$b9ZZuLFY!f
z!|h9Kc)l_ydaQn&&dzbhv`Wetrm_w@dy2E7_J1EwXQ@uob9Y}7jfypb>81P%vo2<=
zNUn>1J2*}6tC9R%J!A+g3agh@-!Y-rXXSU1t+Vtilarp24u+tZ=VCyeW5lqc1rOQQ
zKlI~I%a5O}HUL_R$C-vLjJU?-p<mQLPnRejS{>9i07}@-)bthxeA+Z??9aVKKa!O!
zd+32ar0VN<KRUpGoLpi>7adpVTeG~DG?ewhkM#8ONfQQC(6BH)QTUgBV6T5WL#`gU
zA4}WaqsD+TEc@@@5n{ka%iBJG)b!wmUB$Z}`V4q6w)MbAKSpHs7vW)9&mFq|jHL{B
zF`(lI_3=}5Ce+aT6Kh~bh5pu&qXk6_ct_yaE+u^yd_21GU&iZoefv}JAyJGGm#wZ8
z?nhP>LTw|8KLuo8){6PuV8jfsyK)Xe?3kqUWm$EJ3@!};F^U8e-nE>Zm?Cka?tV7A
zjB8{Vy!V{Wx5k7;KhA9~7vx6vcl?)g*YzApEw@X1nUT?3Y+6@_7qh5#(h_uCIA7}F
z^sS2pqxL*c)OO;>Gj}2lWyN(tY~VO!^B-3HnBSkU?Xv(1Bt|(e9Mb_MG5*kI3OkBF
zRh;sd7ecK=CK|y%Ho)^eFaKtwao|7Zbc?ZgVRRjb2JhV)z+gV(KUuN$oSAW{Ns&<$
z!=Hb=H8!CQ9hFT9>9yS0TCwJ0n<IvDEZjL>iP}(AYB=w4jTa+A^gm_#N+A7#NS`T5
z8)6c8IXE);@%q?hvMEgpRiu?Pw-1w`ZpLLv=bHffO({?4Z;`>#TZB~I6B4*O>^he%
zEQGc0XXBls<<OoOI5nR|0^c_$X!^dw7@qKcX)#Cv`_Ja))@PEyYD-S)z6KFIU;2A8
zHeV6rpIPMwuGcxW$ob;jW-&bL_{y~IuM#>w%AZV}B0-;(=Jnbi>w2^(IO-Opf*0$z
zY_fFLhG~-;p2d7gwA!*DD*as*se?*{LXS2SaeoOZKP!zKe6*v|ht*L;zdcnteFL;U
zU8F81%i`XxBMdHlnn;?rDi1%Q13A~sJcaV)F=;I5WJtLdZhoLPboP!eY}q`KUoowK
z>d0o4>Z^^xiju8g<H=yu^KRpPX(e3RQ^2Rds)NNR=QB@ir@%(mz{b}u%J_DkFC*iY
zE_S;H94y;P1#+g7yu)P`%nVy7e0YhB2W|TPbnVdtiC<rA{M%Jgz`IrRmpKJR)+z!w
z<>`Zrt;v03F?B3U`8svDje@EPU!}&l455mnzHMcj2EMia?8Qw`Q7!(f|LA2S_!Mn?
z=v9Iyj{bK!W_KbLj~TCA*`j9xd<_}wy*IVc{P<k<?JHDF-BC!Z9XEx<G_$kK>->IY
zwE2QuC>4G5S_1AAnZwVv!u?$l+8Fd-st>SI@s0^=k5u@&PDV&DrO9r<BL@<SjeIG{
zFcer4C<G8buFGMu&bjBqVSG8!WXz2m=W6K#csO;RxY)7*`2#i|NqVA#|K2#Y>|D<;
z-d2fA>hujba{B0}H4$xO;+QUD)3buCy~o~2Mr^<$mNrGF4VviQA9Gx!#0nHkQn!l?
zYa`{aq#?J28fJ$(illH^gQ)MFPX{HmG5nOciuJ4##-}iC4x?E^m9$*cq!0=J#Mo^5
z`dA(bg9@g5Zq`t=GDg|jtBL=tD`9uNB#J+do@v-(4ITrAakoxrV0FZqE2lS!pmL`C
zvpb5`@S(TAqmDrx-ADIjct7OBoloz!w+>pt$ljaT4-cwh-xHp6?=@ERP@5?hxnu=J
zO`fSe?aEkmJgrz&_b>gH*MJ&X#|oUvko}*561M(IIqcsvO?NcwNcXF!!N#i&Avre{
zaL7hiHGTgVdO}(m&(>`;;AFJxV^NaB$}b0Rn)#Oy5k=+a#=Zh@bR44^YDwe9cQyAn
zEA<jl`T-Fa_W{&AIY=0INuZR7olV8S2r+q9C%j{n0I{oUWnxvL*gO3z@7&r?;;nH5
z`(CE?T)Z*n+xQk?3}oJyw02~g@Xhr*?X6@9DjY(Md_02a@POl+{@EE~v{Z`7v$cTJ
zUxTEV8P@L~8Tj+@_zV#n6zlRl(j20@XY~y1xsciO)A!=08KNq&Ii#|{3{C}QJI&9r
zVMm(y`3J-dQ6_1_ap}7$(5wd6OqQ5&BA7j`?eH`)mj0-mP0bW8_*sM-Iy0hVpitE1
zsYyaqo87B3%mjoM6K;Er{iP56sY-iP_miMJZR&jV!Wi6!44wUPiGDoU&qOzNoT%f9
z?ls~!hU6+mwwn_3^qYy?v0l_4#8#dlipD-8h>JSEoG?5~*EvN9l+Fzk0>|1{^qLIe
z1i^TaOM04KMQ>vL_u(6{=D5@%u4xF@@5))0c}>u-F8l}fZG%L9$%~iQE*n6IL5yaF
z+9+Ktd+4mka6b`fKIss%st*qu>Tdm)_>CS&7G}T`y~G_oi`!|T`VjbMYh0@T0A0jB
z<Kc(kZo-9S?nlXh9xwzoHNErvLeIJob$KzrljtcwSX$zt2Mw`)FDcJD>DOi!0ve4!
z5p04bx?!KF;CA9{pGEaYdRTLUagyjqB5?oH;zn00l(Byp&$$1NzSr9+>80s=;*#bC
z?i-yH7+I!Y$$!&A-;$Hn$Fcb>ap0Ba=1<-fNMC*vm-ecj-al~A{qogTVr%Lb()JND
z{Mrz0CbjgEp7AT>x6qCj!d9k{nK^<C)7M7(Z)7~9e`C?u_&2_Zc(p~@_Z1TvE`2ol
zDn~7)_nF(z`tddr>E_336-m0#)12d-xBUTK_2h#_k(qkpRq^RfXWez6@%ydTLZ9pO
zvRA(+J5=ilw`e=no5>r1@6rx!nb)W3+NBB;TkqEqw<AI;j9+R4U%l<Sy61-pYmt^w
z-jF(?NZqwSf0+dNg<~#0L^^Tev)j+YgLTB8+_BmHW+d?3T&l`+_ZE>}@*w9<SsmfG
ziBen@uLYc=S~|N0?h~@<I~3f>^+X4T3jBMc35}Um*NfsF5^tNm#Y9KziQ>{OPZ3#7
z`2KQgS@!v3LieB4caF{m;%2Dc``$wu;Ar&PnlY@52w`<AF!<X@$UQy($mq2?;Fxe<
z!D=~iD){%ENS|inVBL%yo2ELb-P@{?bL|<yAQWSFbg_kqQ6IL^x}XLrhi|@d+E_*W
zEctP-=6x&it&vbqo>2vjmtT@!2-OhBBJAJX9eYDe^i@|fc&oxv?UPtn79=9s1E@Zm
z+X(Vzsm|lAD&VN<v9>3xmQbD6c%8WLo|xUoY};q90-v79UrXFtPpsKzt-3{gBzFB_
zZsvQU400Y#k80%`3Agv9z4=m~h;6LhjC0z`(6GCW<*;ls@#et$)5$X(gnMFo-m!;D
zFcq0qWwhlL(RFdtztq*w#C9gJgGnSMP`o{VOs3#9QFE`lY#DlpXRK8ewh~2{>MOR)
zvwla=SUM)k8hVK!@xJ-*MvAb~GW>V`(t9FFX6k}ZYCoaceqBVMUI8XXw%2`8`baqW
zyw0rLHc0p#opFhBQGh$wUY~31YbR#SA4I8gej|$d4b%jh<RQChanHV%4nnAX{HXHO
zcVa;%OzGg19PA!AV88JFGf`plPHd8MlrT_vK+MX?L4m};UVYOZA~WB%-p6l@;L&qt
zPu?yICrH*y3GaG|a<eMCrMU^>!sJl3!etrIzn3SvlHX6<Yl^kw?3g61x+j94e~^Zw
zOuCQg`v!@gZ0TWlrWrzvJ6p?DQW{>xu|$Swd?Qrc<YZQwW(mhSj@G5UQZVXU!R#k7
zOf*ipE}f|PLo|6R)HYN}f}Hq{d~VB8!oA{t)yau@;_gX>$K4{50Gs9oVspj_m;J3I
zn;lDpUSrn2gOL(&LB&gIzx7Wd>42nQ1N$mb-NlF>dc~o%*l(9RWr~QmIkiM*StIhU
z`|0hq6Nhp0>h4#@GsF+?pSmF=Mo<q>C@-xQ1DmI#q;j_3gp|3-k!EIQpzCdH^#d`u
za->x=jeU+#nE0VvC%_7y3K(|TwTQxpfv#tgv<1SzVMm0X2RkrF=jNXC6on=S_sP8H
zOT?u+o=+|ga6;_hn(fg=5g<NYW}-!}5@&luPmGlCfE_q2wd9I`mg`h_@#!@p2L`qO
zz2^t!!Z`aJUlHg(v~aLCf)Nf(C&=BsCkXM)mAW}35g-T592Ik8hJ*`0751kIgWso$
z<NSOgP$qtS<kWsvh)Y`D^Wupp>|)o;S>+UgI6mgkyVdOL`oU>dEg%7J%sZ`jtB61Y
zdM90R<btF0os4gaq@W@9D}C2)5g4hAKJ;Ck7o7FTUVfKl;gNLWkE8EI;8`t+uR&b^
z9{ISh{_s@*F<U=3JRk~j->lLDM+D)r{O9YJWtD&$xU9d?Nemtv8_iyB7lu>qX?Zqm
zD$wHj-O}!aIFMwUUoig`1zJ<GV4Rd16eetZcb7vFtjenu9c(3_r|0+36Hg70I`lel
zidh<j%#UXM*C_?*w@W_{G-^RXlaN=}X<6vbbhZh;Eeo+h!X+af8z7eF`YE<;3b4yz
zh<eFY0jy6;!w4H0k~H;#<1CdRBiua?<`m&n@B{v^FbW(#@+>punhF$reZ0h3t_<b-
zRp@WKsNk7<G~FOr9lBFTj;mf&g$IZGoo6le;nTQy-0cP}@SeUP*m+zXW<s2!<I@em
z<jrE6Pq_}nC|o=+8?6Z|^-Cosb%qeZ`o||ZhXVHvVD)$m2`<^V|BZWL1WDx9z8Z=?
z9B#Bex-((}yo!{3k-FCy6!m!8inxqmcl>@nH&<OCRZPUcdt?m153^=z%9=vx>DgzP
zNQTmHBo^jl#!&T|S(tIV1!z1}T1>N`z;ha>JI8wc@hhR(99saSZt@przM(+Zp{pwn
z`wijd+nc##-88r^KE)!dP6fS-g%NmBA8HqjVjb6gUAu0YoX18gG=Sigt{xRCUDn+0
zp0<I^%V8Y{m8h`dxMn>)tplrKFLvj}ZiJ%a#%~R3D3GdT+#k=T3ArVY6bjWh!I;tO
zvq2IRsPc*5{$oiAOxw;(w<m0Z_eFZefu>}rly$}=eJRlIX!;?Lz6ruwE?9MX=s+J+
z5YLtSd?0nM;Np<)CYTwmeb4=y1aYu9*IGPJ<o~UlbDQ4?#J<qsHcw5s;Vkt#I`lhT
z>gUGxcY8NN)IP0$uk+O4%Fd4QluRbfE=UPfd}#yUA|^@$CX``hgGN}UB`?a@ecr!`
z!v=)1#qK;aQG~6um0-a~Lg*P5+4j`Y8dz%Fryf|!g3|MuTcNi_(RgCxh)b3gIG6pJ
z+G;NWDT)!;UL=k&?V3At#%Qn@d+xu&0%7?5?M~Ggvm|!uwpCbeq=8CnLO)LpAI$5!
zj%2@;#8D46zFm(1PHtXQk?Umxbz|rEExJ-@_hRjcr96Oc?=$6YzcnI0u(?EZixlP`
zi|l=GO2EI0*;<!9v&7FEr%4u6DI68#Skbe$gv$2pqklVlh^Xy3i?9Dl;{N~u0RR6C
zmw7mpT^PpgTlT>i>x>yQV-PW8XC4wQlw`}2vbLy1Da&W6EGaEYDWz2^Yb2ra*do#*
zAw@_+C@GZEH~*gNyyslk{XXY+-*-`RMp{d_HH>aApgXgl*Y>Q@_MLb{!nk42XIE}o
z!HqjhTm{|6Yn`5ngc-z=&~ZpE<?|Oy==dJkz3b%9+O6pZ5q4Y>as$F#XKgHjHubr%
zRq=1F+7nribXgKU%MTs&&$WOX2`7ynj`QP(^K*M{%qU}lVpG_6F$?hNoDJ^#A%tJ*
ziF41tC}YXb&*v-tGY7kv7QdnjQH*&br)ssJjJv9pravv1!A#UQ^(r$7oX{xUzky0Z
zt?NrSd_8Ce`^RV3-cFN5Iq_3C97Mw7xu={$<;@^ucl3fyi8RLUn@L!UB%H<QM$tQ_
z@Mg>_slZzn#cnX<ayTmJP%`RxXO$_KmwC<|STBdEy`<c%MioqF2#VNGn*gOkWZ7k|
zJgT@29_|TKMdz~S=%Fhn;Bh&?*Of`YOB?oDcIm5O|L>ThTV5tGsm%!5Car*z?|hH+
ziKyd&PL+jc$|m4_p?`1S4+YHsc&wH*r;Zb$;>>e{94L0n>kNCZh?Aj#kthCYpnD9p
za#J}6=8UqR2ec?*L^WCQs3aMOPwrlQ<TwZJ-#>e>tBQ!@{{#vcH^?}f+506ek^`+_
z(fg&#l#zQ#C$Zh0f|?T#<$D7-FmCD9D^f<n<dUQn$&(bcdAihs-;V>{$F&2(t5xv$
zHe)`WOImn0y|Xu!w_mL0-TR_8RU9oaa`bhj;@7tU7v_2A(_K1aUw%@<$dbJ=hnLXM
zw>0B$?<o#2_0Nc%7Sli{r{cYJPiXk``$g@7ha4a<wU@gYYod0)gZJkoZQS4TGqn2$
z2NwKG1JjJicxB%krx*)5#wHtRms^+sx%*`7(&uF4rn^lQPSVkiuq|TuaT73=JJwXP
zgMz!xWIqhZW?;d?w=ZPAnZT@-Ps@n77J8+$_?ntBQC}c4W0Sur<i&Mv+MBP1?&1O?
zN1rg!vDJEf;GHS#E5Dq9c2s<+xk4t#P6xZwuiS16GK1%~H;?{(OT{<#OWM!m>)=ZK
zMfx>w1{`}%y#5XvCdh2@ubb9EU45CmgJ;d*<gZdU-5)f((@m5sP-o%MTKTkWD+~A)
zNfN7!&_>a_g@2rwEL>P+@aNfQ3t;UQb4(uA#@sW<bnInVXkaURtRu@3{?6pDbakYo
zO87nhe=l{=@KoTflI2#=6Msp2E}M>5gVQ|5!gNqm$MT%<lobRe2Hj8WrsKb7E3(r*
zGSO_pph-T{8uA2`t~l^BFedjRo-|=%RBD!ln4S&zg{u7KQ)FP8yI0lVRtCOMU3zK$
zfelQ~|LpITW1#qqo<(Fl9W`6&FNh{wxG5Xunm9+t#^;M;dU4vwzePS;^ePux(`1e5
zPw428dIpO^X*e}Hs`P!13oBKkf{*gPFKjAv7ImZ|_w$U}b2Wf9$>;cID0B=9PMVJ(
zYoW;FFW)PS0Lbc($BAXyDBx1mC;FR=6Yb~Q%B%tWxkay3mT4o@hwFVU(?s&Ug>e}h
z-nvHsA?zv*Z{FxzEJ{_!oz`d1da?l$Jce22!Za+|>RdJvql)q7U*a7o0HPa`V=FdO
zu_<nmcIGq*iR*l)9ti{R$G%sxsnEjMp!c!OT|~571A<{qT<8-@eJd)Wg$-jP&fguC
zFqqypz9oVSK?-iYcibs>=79lma#R5qldfiLR^WnvSukeYB;)114&-Ik1PnVYpygF$
z16?jHA@_f3VvBkxRk21M`6-b{NnD=(*&Z3Qw=~eBc>0OtxEx;M>t3<8%^J*SNy3!v
z>gZ74U_N3mhXHP_mU}l?!<pjMQr|4q(5KtytiV%QT(}d|{=UZwa_g3PWs_Br`D*l6
zN+fT6Xo_3xYX$B3t%@Ba74(txa!a<A#a97&Z$~~@0wJy|XP8MsudQY;)C^@Y$tFj5
zOQ0o4TPI#GU#pD$V@9@_Ry_V4y1mfNo6o7$^VaQ0iP#=qkhCR87AYPsM<#Y!fTM$3
z`~Cr*E}k!QSLVs0p=IlRomq2GxW6U3)=3HDw}}a@{VR({|FcpTPcnxBUDwA4Un*kr
zlIYC(?Q$p<Oz)nRHix4c&tLzyLlNh?Gc#dA4zHh<7IeR229H0UY;sdqM901r%Woyh
z<CWUuz406~c-82td-0P3F1VK7RACU%RGJvl_S_WQ@BEA#Xiz{&mXz2`KLJ5wy5~fg
zDO_CVAyHVVfOE}`S+)5Jm?1fTl_Fybi>otl97P4}{57!BJV_BdN7}4<?wf$6X1%z4
zzXE!pilgNYB|Ih;(=Huk0>oX-v|brS3~?>4sR}0Izc#+(+C&p*&P!aD=B|h{QL)Ak
z!j+LJG9!2BC68k<e6ODtD`JetL4WQs67FjGvN`J{2Ogbi({@)?LccLVn(G4<)bLCh
z?(pP5?g@#`kqb&#ruFB=;15-dbE0e2&^e$^iPz`q6Y=AGiASBSI&#kNvAh4WVe$D2
zTa6APO3Xxrp3BuhdD_9RRefyOt#bQ^%@Jj68IrycD$ILFH+Nk9_k<0cUl(N8yOL0^
zh-KVZPsV`4ep}~iHqZm?;k%v+3J92Z)TdBz&6#a~);?f^)3X(edCIDo6Hoq>?xKZn
z1=bE#)bSpe<nDdX6x2|0GHy&rlZr8>iP`LKHvBp77o1I2$L&f*pWD7su`<x+Wy~)&
zG%r5X6SCAmZk^qEdLs?fK8kxA=y2e3SAo%!08Ol1dh*fYS#8Xw%HJLh;lPQ2=ZCb`
zkg++vq^CE8j*3d-cc?tSyUjn_*EB}P=orzdUPA^xZTvT7CT#*ywR%T2k5TaLxKU))
zGy{LJKU=vR;PL+v&92o@3q#+GzI~O)#0!~eW3D{EmL=~U(eBd1&&z6+mafvlM@NoE
z_Z{HPkG`j`M+_B3PquBn*sX(|VH>wDlQx5>a~%uzsx%x;lXH6R#KKOI3NvP@888jI
z9P{qeaQpM|!NeOZWGx@F)bTTi1e@nEe^+VaM0NMF;$9Zsvff-uC0Ib59D7}Phc?o_
zRz^2{VPQ$@rjg?>EFkcJvbOqKIv$c1-u=0gg>zP^U-z7_g!{!qE6!E%_`igoPwNZ|
z{nn;WMy|7h9W1NU7v&i^o$M@sljkFu;n5p^F0qFEfgj<69t?cDxZij>QwK#CpI%*7
z$K!^1sr~N543s!_H2hO16MKCA^9$W!1Hxq!8IR91@a{hM>Q<g^zL!2*3W;(-{z=)M
z_ACbGpYHH5ouZ?+!cD$cC%GW$DOGHEfPp6cc<aLpZOpl#TO%n5u;Njhqq;2vt@k_U
zx?G}R#oue@Av~UEpROO=HciKrPn$b0_)*byYwV5|ci#9o3hYfyr(?**Pa(5JEesxb
z)iV+X&^Nt$YL7G>?~4Xdw!S7~Ytzj;9s2?HmYNeTBxqxi@yfsfJx$~s7jXU_1(1?B
z8P+;L!}Oikvre_E;Wg&o-9NSigo&NW5a-Zvho4{Ao=g=~8u=xGZUFc8RQALs@bZeJ
z8+Z1gGR_`;ZV<=;;HnwFcWBVU9sT>Jqi!hShg>Z)0cn7e@i%Yx3u@u&ZTY?SzZLMz
zSz(t`wOm+5p<J7?qhOoTv6CN?31}Bl%c}C^LPMm#xAS2#e)eupH+PiBy|=nW?u^)g
zy-99P?`cgu&e^OcY%Pc0>q4VKcJX{c`IO{cT@CayOw14nmc>T~*BT#vvj(3qQTr3G
z)zEq@r1tay8NB_YvT5aRYxv?X8su<X6~i1Z=#UbmaY#bNVfz;=7^NSnl-Z<$Ho?_n
z7rLbIn6{&WYY5L5qO|6+?MWEEZo*#mfD{Um*H!TkS^`O~kwsXpjG9#v>HWS^nDla~
znyarR^qR)~wDTt7Wo}^brFbcnR$CtZtH%NkkL_|fm9B(^q}j@w-BP%${<_^MPYVby
ztoW|lsfeq-J$x_|AdRhjoEtek=5Tq1T2G^iB1&EDQCX%YgZ=Dxhtqt`Au52D0%Z!w
zr^%|U{U?L`uFHN_eKZ5PVuwyG2L-JDdn?>CSr$ogWXZH$W>9x!jx;_^z+#DN;zo5j
z90(q?wEt@g@j1jAu?hmpSN)QbXqLm6Cm9A-Crx40S4wsAH~}3*b~?UJl1E{=!sQPc
zra-Uh6BA1y;5)Z)k&Vs-+-N9ODA#BL??;&rUmYf(byb=`gpLAg<yUwf3pRlt#ed@3
zFB8znuGLyYNf9^Ie7}+?X#(M#`!dH~5YV3Z_{4t%C6v0J*158Z1H<0C7YYdqm}Z#Y
z(?lVn+H2=?4q+TfNA9Ek9SSIY{8_D;tukI-$kiX#=D^rM*w4Oh1!O5#b|^=Xu)*W~
z^{f##R1S<~MS3dY&o7IwF5OeXCDVx=Z;RRBd-y6LVq6j1H8Z|{7E?o~+slnD6WFky
z<9_z;NhLf!SJE@ROC5`yzDK!uv7!3X3-u+diKxqzP)ZunK;tmGriT`6C_4xzT$PkD
z3qQoCo08F1<9eC_gAJFY_T;Slsf>SK-{>6^q+oTb!<9e{HvAGD+Ep<^!b!hX4b|Ng
zJhg3Wt2%{uFaHxVX<P;EO^L3=GA;bj)gj9=WW(yK&ix~cs@N4aJkoZGimE5de|tKy
z;i&<;-<_t8*EpY6t=UJz(q?bFeNk+1rmVK{*~s&SZTSY*y|vNfWpKMg2^+lXjFw!y
zsEJ0F>R<P8>1eyTs4!uU4I1oqI}M`982D8xp`Xk^4-xI(73(<AR!)3sL#5z7>IdaB
z3k;l<S32VUfCI@V$B25J6eMnbMrmkcqC}j)v6IV8KuOiPGbmLH*}&G*$<V>=ax1ge
z)|i0N(L9o@B^6KnoS33mvhbrrSfPr$Dg4SgzCvn}iX~sIKGwfv;mMUYXXO@6p^+Ik
z@$&)=Gt2uQ3arva>&mH~SNF`I;9%Aq)lM7FE~m*(=IUZj(4ElT`^{m%-~Hyp589Y@
zvt`*}yDr{|NYmcA+yb(VOQ$iMjulBY_uszK#T3h^*vE>N;Qwex81*}kpAprX5At=f
zf8x{6j&WX28_F>GxS4^f;SVB?JL}^8%W6hNkF7v4<;gErH3Lt{S+YLVvyd}Y;3S-3
z4HHgPRuMd1&iX0^w284$ugCM;zV$Z1a1(3F)nX#6O177wrGttiE1wnf_#d3vyOFw-
zi9Rm+k&y%@cF8YIDJkGWduXpZNu7yX;{VDQ4bf2-=ZF9B^85lx`M1kg25zxF`$^)Q
zHnw%eoE`84Xr}FC`{Xe&?oB7*ycrGIY3Kb@k^w4qds!R?20qK%wE5`^Exbw%%n!-~
zIBla||D>LdqDPX%{smDmrL5CAxDr6WJSpbhQaWB*bl9ZDN5<Sw_bB}}09fO{%`;US
z7dOW>9(7U2gBnLq9xMm2ph2nhOBx=$*=5!IL<Lis#<?z+0seBDuWys2VU9SrY)6<f
z#x|J6$0h=7A3XC*5U6<N(#;j_E0u8Y@n(XD7r=+W0H5GpTKK9}`C;EC1-!p%sR@?}
z5W9W7#K;8-dTlr>LM)R<@y%bUS|7Qv=}+L1^DSijIND~ZVJC+V8pY2tcW`0DW}11z
z4^1p|4Rec?;&Fb-KJBS-o-b??s)-8H!0WndD@Cc&NPn*1cp}IKIBI+cHF-VyS?aRZ
zU0ISSm11~d<gGP~Mb^62MXO@X?p@nh+m~Q{{EehECu>MQqNn+lrh@vv4L8(fOCYV^
z;%D0<D|i?6J1A>Z8FgO=tKC<Yz;S<ZgXc@F;QqD~a*|Joc<$^G`@TVO{NCQUGv<mV
z)E93ju^ubozn^()awf!)y(Ts56u}ZuaiU=3D@9CR*Z)k)NCL0V8Ry<jvw)Bf-v0{z
zDImR}!k=0wfqHg^QNDZ@piw#_Jh4&%lU}%u=D9Dyv~nrdVvIQylMT<76cX^w-w!t|
zSdw_bFb}@-dNhM7TNlD2;D-DIZQgV#47p(Jk``kIn>YP4*;Xfy0?Lb`j*im!-wu&}
zQ9d&ms2#23-y@Gz5rkWF=`z^xM)PX<5mPuM6ra1_Odf@n91ayeAdBVBC3eq<rf_gZ
z{kjrS9*t`5cJx@t;qtW&_cQO9z&)=+zu1!U_*J3p<Z~%`9AUbySZ!wl^9%J;ro8>`
zzOVg%ev?P(8#}!$K5$^u5gomArt)}=9C$Ttn1Jr93(2KP90(AkVt<%C&I~@T7~%E7
zWT!4QJ{AZ39QDOZ@5|%efLBJTi#+`_UuC5Bup#)xf$Ta30#evJTE1x$F-`r#yP^y>
zkbTNj`cnuv={=rR?5~U;wl#eDw2BRZy`9cOk_zZv*>}gjkc3fx^ny#I*zhixB3OM>
z0WWuj1yLncad>cB_qn&mu)Uy`=If@2eeEr7=M&VhfN5~wve+1mDtDALDJr32XZe-}
z5e=+olH?ta8AGK)NczmU62^E9Ka07li6o<UU-#`bhGhPw)OW9mSl5{lc_p8W;y!VT
zXF`oZB1gA$%S&ZUpE^%HlS;vBj`vjJLX2TBFK}`F0140g%r^Gz*20z?R=i?_G3X3T
zmb(b5qD$u4@o;}C9yur-wf?9vxL0-md2XhLVmlx74!F_qu2vG0UTzG^Zcc>@3F>H7
zv%6sZT5bF+R6LzJZVba8eSVj9Yhdm*_wH@0=;$^p?YG&84NXUzvQ0F}X!#>@$BN|)
z?5!Xr9X!egtEJy}D7__Ps7Zlqm>Co8TMd#g&a&adwQrdw*%b7tmcG+Y(?K^^PY3#5
z4t#rLG%x0(h3f=2h1LtQ(7AQm%~{9<64&P074dqGWg1^EiO2szucM#)Z<@gLE&JOO
zAE~I+asIT?VO@M;ec-*Jk151N`&gOh(eO|8k|~Oc9*%uViCRK7gQ=#J=DVA<QU21u
z6JL(%;f@q((%Bg^DEC<!tV^Jyw6E$&%WFMcCPZ&r_1YXvO0V9s<>h~&fQW<f6MDGD
zUny&%#sY@!{p{Phj>px8b#JO)>7iIg|Gn(nmcUjivD5BgV37C=(fx^f_{w=+tmB*&
z=(TpO{cFv{uhN+zE_1r55Tx97C&?OWyvA%gPw;w?i0Y;nCc4=2XwhbFiw#`MA?PnO
zGEuHmgnr7Fg+n%9&mA-7LN$!IZ+geXoi=VO)~M;=Y{BglsncAbUX*;E|B8uLg&k@)
z+8KE4zd+NcYXCHd^A$JdGm+E0mOSW3M~lXsX}MDXt~xvOdwiKV8_^WFr;FDIBl|9U
zHUk*>TyEbp!}G6#prFmRROI?(gbqvsXe*l~IqYO$^7UtKc#DDuFS<7;3E9G>xX>%?
zb~=u3t^c8_L`M5#hJo2jY~h}rtNL9fI%a-Mmi<Fj#~@nd?pZ-w-n+;ty6CKpqLig?
z3>{U_5sPEmrU00oDuaqqG@McH7uUQ>#ABbk-=wtzlnU5;JDs880qLMaugw*4$$Uyv
z(^UY8nr)6=g<9B^Q-oGZ1U!`7txDesF!El+N4cJYi~l@p4w%W|lD0VU70UqT{LiNm
zd2?8mRpovdWH8<>o3{D`7g~jVntqOIVi^BN_ujLTc>l=AiPampaPbCv&y>Cf62*#>
z+QKC8fk$HDEZV@gJ66g$$!a(q=(W?SN(_&5Y}5>7*}#^k{jL{gRB(;!p?d2GQC$Cv
zPsrtzHEe$VP4iw12|xS(G*HeEL7^jpmIiZHkkjY>WI|0D#m-1MNB$GWpp8lT`hHfh
ztK)QZ&O0SMr!9A2TdgpTzZfX6Xtabx@g=VhRx0B9#jvOE8-#K5gT^r>eM^{rxcmHA
zsRH^-9?-icB!b6=HcWYCTYzD2(Y>-}0*3epzdaWtf|Kb<N(V$N;B5$BO5}n(GFz$@
z3pGX2srGl=YhEtebC<+OTO*Iz9l3{krbLk-9ANuk!VEl&`qpY!%3<owq2r3fV)#*a
z21A0)K!VL~4(0VIo6VeOEB}b&p8A*pr6E&j>8nWC(kF|atvZp0oF%CAF+XD=z!bWM
zT{qFr%Hqk7aw*OklBlP5D|f}H2^?If{HHZU7P%A49<>Wf<9p{aHa)@w;*a_rOjs+6
zkK30I@5`3K-Xc={OFmv-X#drh=p>6;UXh2M<jJDx>zWsFXE>m0)D%nKEQ@dW<CYH}
zm%}Xo!t79e4t$-jdpMLPiyvKTlho4Wv5~y`_?tF1WJ=_&vVS6r9lO_!sAdw-M)<!D
zLO2`5JGTVS66LU4kjcGM#PiQz5AH^*uwi9Fk_Y}Lhi@fhG_Sr>ME*xxw6?by1FLr1
zk3(~EIJkZ7zd<!3Zo5NT<9^5(i22r=ER*H&F~cH#O@uOf_oz!%+Zn@v;QX7PbOP=Y
zjK5R#o`f?g&FKsYV*tC`cVE9J;J)z1?=`-vcz(sIi#EMR@Y2g=4S&7@UTMjn{QF%E
z6})z-mzNtsoCM`XX|f`!IYswBysUxbD~7X9=Zrw~b_mKxE1~J5d58VW$awd>M#X5d
z5u7S=5p_-?qMfw1zqAGg>lUsg?@u%WX3?NWc&;+WcpInE6t&Rn@G9%YR3rERAvHT*
zlF)2w{>q3V760xXVV%BY1QXTfI*UrGSpDihRW(f-UgofDz3Yv@{Ppdbygh2TDwsr7
zFwn-8L<2^`oDm!#Mj0IcppJf~J2;uk=~yr%SgdDb4BfH|OJn>sQT$ZDLCr=6E~K%U
zN#~3q{YG$I_kJ=qhNtcp+Qr1{wtw^zgxC<Ub<3r%4iqe(j@4tt>EO3c*}cD$*}!xr
zHl?a+A$bVis3fqkEZ?pwQH}TC6GJN+X0(tc;a*MJql-qbkMVI^IAB0>H1Kby;$|V`
zd*y5Nu&}<FIh<w!_EmrP-{$#6R6}LxcTs)Rzj8J9pr0uWG4{kJM{6UWMwW4Au0Eb?
z2ycn7Hv@vrrLEyB=(snP8n|9;DV|!dA8lo64n4*K4kv{fn9v#c-OXkx+ROGdr`TA)
zY6XwWZ50e0iM;hW*J3FaV%8DjYD*aMkf<MD&qVY4yF!l7>*HwMhFc%KtRRUiAW;8?
ziFQ8GC4T$#F@mK}V+UKqk`?y$fz~=`ZRMhSqErv(1uM7%TW#QyW@XieWF0)?7!hb*
zsEbGPT=!q_<3i)=!-wkb=%AT+nFn<z3loVY%kwk<6vy@(-z(5TqKwS){NGHp{!}%<
zN#f=9K%+lKsXF-b`rDlwH!<+HFztv@CqPd1G6i4Wy}@StH$`9P^(VVj{!v9+IGuWZ
z#r79W{2j6CkX08IDV;*UU02w`rkb5a`CKN(r_8vD3Toj!i9=jQfGq^iW{<5s#X#Y#
zy{3g6GJg6UwWc}D7XC;`{qt*~;}hqs+4N~Oe34hPd})X+oRbqM_aD>7Nrit2k#|UF
zl|N|ua-A)to%sF8@D~ktM|oy_x~_yNe~MS_)3t>u>rllff2g>~7*NglOhB0ezd(fr
zfI}Z7%jf5{&?6@K2{Bd<pZ)j8^)3QDewenn@jC@y<OG9loitW?2aP~Hz`?2aS@M%)
zj51QLPG7nN!wqemc$k3=k(B0hZ#8jzd}rH5Q!#WdJ%8=oOD+hD{d?*-rj7%vYut-E
zgpvO6&-N<@T)0`;o4r9=4cDfB4Q`te#I*uxcdn(|K)K?!6AezhUexeD`g4W=z9lku
zo%(1Es~@N=yO^(xRAoy4t<(Hy>A%I|ucbA3U+zhnBNH*yY~8%fJRfcljTt0oS;2py
z7B{r26;W!E^<u1;4@FAqxL?0o!U4U!zK4+t*!e8$q-qf#4yCX!lASGK-QU9YE@uMX
z?jI~~ALT>Mh7+G`iY$OdN$8MSDUS`^&voNB@?&!6ji6Fl3xFd!)Vo{c(A;XLJKsD%
zMivP)AkQy;d>#7JbY2#dBt`7Q9}A#p)a}SyLuSz2lN_|AUk0WB-JevyC5XABg87;2
z&EUONw`nv_-`?N(cO&l#;R}mKzH5!9fOcW(-n~+|cKuXyZ?`ZWe)enC4@*-Rw|Yi9
z&Fdk@Ha2d%OcF)gtN_ovN)y<#vIAaRmqf$i+)r=ziD8PTr^hQ(69};C**Uz9=ieuz
zH`?-glgsesg0l}f@H_t|@dHy5Wh)+sTm82LuZ$R{5gj-XbimkILSGWCFWt1dp(BM9
z6Y~1lPBuI&(6{^PEs3fY`^1{QOJf4(`SjONHgx~h&4{`yiOXsi!)ZHZ(QQKytALLU
z?R8%9MFvvH_2X0$_Q+wW{l+g}a*g5q<Jd0#H&VEMbgBKC6nS)&ldfIh@&DSR7CEh}
z(x_%&n)0`ZfPc3i@G_h<g1RYEFy9#&9Pm>*6*i`Tt?%fTlRV!34*&rF{|uLRIMsg?
z$I0G%kL>H>y7$`q9;?)^kP4Mip+XT&Qlv7XLRKlelvI+0=zB<oB+7~i6;cV=^XK35
zoIlRz`MjU!{d)b<%`+W#7DT5Q#;pNkadc`FioUZ`2ma1o{BdSh5I@$B`{rd!;EnTU
zgT10UkoF(djju=u=T$yQ{gRi$qhc~4+F$6<qbvD!^|&y;KivMM<C!$xTcvW^7SUnm
zU2Nc6ClPcVlbqUhKo(7&`F<X{L<jS%YNr8PQS1{e-b1F#qj}7klu2JYJh$4e*<>$<
zd*3=RoOl$_-qNUQ-!3{R@-Vztj)-G2lWCC~k0Khr_lnxIlMeRYGTGgE5_ozYKkk!M
zLa+1iwcCRZs@F5V<cv#V=t9G{61p<J+Um!<?-U(eO>~y`?~q10*T05TXBF%?Mvkz^
zro-7qjkCkeGFTixYOHxt0BAs$zZLfgs2UD;(}5-Aoyu)bIn4d4lIC2Yh9FS!vr}CM
z&Mv%o7sj?8yUJE}=1h`ML9E#>HckgJ6I{(tc`D$W2`?=rEixYdu<4u!t1gHY+k9-d
zQN$*@z7nQ=8kop`(DrJwE^y?%-Q!4C!qUE{;s@h2air^-KD)Ude3Fr!A68OEed+z*
z!t=GT%4K|)-HINZ39}TJl~BRy%xRlT`4pV&;+(PW(g(4Zc5wsTsz^(AJ~JGtjiP};
zzM72&aNalUde(v}2DIKIt{G5KtMBIN%^wXRu;;*(-k=)FM0Ds`mr>EN^?k{}A0t?l
zu`l4LCgJN$t8HrYRP@N*y2LAG0u#HEClsR8@yZi>U$<E*o)Ov1Q)O=ooFXwZ&PHSm
zT=JSMFQj6<3hU8VF=oJXxya{2GZ~{fj%Ef4P_Z$7uRIT$Ln+e+f!Ed=IQq4n?S+aq
z`jf}WUw&JF=btRe`s*6F)sLCW@Q)T=-e}}<hXp`VKQ)*Cg$9OA^6|(AYNGq8+~=P!
z0CY>r1?W82z|_ElCq+uhc;rm?VAel?>bpBXN<?d5z+5+LZaoRF*tV2X9WCMQzsdj}
zO%2rYEq?3wLKRoV`&zE2Swf}rd-pf_WLz#DidcV383z}d0$<l#0!5ZI>@us4A83Kg
zzM+bkE&GxG$u~>jd$K~BRa3{)%ARlP8{~0}?@ENqPfIxYGg`gYh=jY#UVeydk;Y{1
zmw|=dmN4}$;cbwP8fp(rJ`0kQz#XIc9lI(m;Y~<aB)7CGo@r2R2`5BwY%irf`?4jp
z6&IaKoL0uX>k(0cD2NxAqMixaTY{Lqm+QMmCG0B;5g**Zi+#e13_}h}D0cfa%bBH!
zXQ#WGD4#e``tIW`$I1b`g6{lWcS-@v6IJ{8<XQ3U3B||}FMxc9_;=9{<#DgV#_1Rt
zX4Lm_cMISFxRRlF8!pJ=^9swtSErW={!f0lW%e<^D3@jI=y7RG-I2du_v<{dxw^oI
z^S%ZA_)@*dc1aSq#Kt(-Z=5A61~(KYkDJ2<#)It@&&BZy#rfastJB0swP=4+V{^#!
zdB0-7FNPWWPI<VdOc53vTDZk7n!(=woq-!-MKC4O-usUE6d_x9@5yMZDMWpq*!xdi
z7>~)w%H<uIB8L9t3~f|41-rEPlG5LT$V&2f(a1kd)F0P+5_{SNUb5BwT3;Z5x4E}W
z3h~bn=j&dq|J7;?d?s61gUk7Fp(x{9&7N7JU_5T?HL5XiK3$I9&CQGBhir$9e$5eF
zHqzACL?gJ<@gzUx1~*PjFsL~t3&id_L+1u&4IzD36WiPUT*&%O`%GTp5|Q~(hm^73
z5Q3xii_`aWVwCar57Nym#HoAU;bpA`aK~}X`%?-B>c+b248=2{NZi6bU0VZCPIWsJ
zG|!Hy%a?kE-!P+9ZpMG2)%vi!cUMf&Wp<P-q7Os}vtVOD**7<1eaK<GO5xndj^Dkk
zN-Bd{v5D2BNvu*2GLjPLu3GHacGftnb(jr<pL|l<!q5XTL0P%iM(mhop~mvxF%E1L
zsm&B_(1q8{;k%pt*zv;no1=mfT)6&F!Qn_3T~J9CYu#MKj+tRgUi;g*u`nS?u4+^V
zq9S@X9x~;?Yep>dO~t&(`zW|{BvJ=Hj3sv7@8ZCn7H4JUi}-P2A9s(5f)2RK<YoOx
z=S17g@U7ZDf~fal+IGB_4pLQKy_R8Ir~*!<p3y=$u~EZ*yFVRriK(OX3*6}E)vD|C
zQW$a8=yjD89aK)^+rURW7_rO#Z!M1~vVXAROl_tC$wyppX@wUb5H+7q28m&eMCSHA
zmuc`TjCN7vBtOP(e)C9YLL6&$**Rx!rNLnzZmSe-L3E5;eo!1QiF+;%t#V4yAbsXE
z|Kyk;_M1eyUbmITbbIeb?52X?83I{;3gL(*+qE5XvKSjAnJ1V=1va4%hb!iVaovZ|
zA*z@>T2(l{;`XIN&~AHIHYHIk-Dip{5(-FTZ_HrcP6hMJ8Yv(5i{Y8^99cy@MV#|}
zcRtyL3Q<A<Y;#rO_{c9^zIC4x9+>%6SQ0`7`w3@jb-E<FW`?K6W+`L;6+zC7Dk`u@
zJow&ANa1Hc-us5XRj{P#V*f888tkc7O}F-y!K5rIll%rX3@Ae4#x5Fsaq=mXpva-=
z>+cGW3rYC+-XeMXa~d@Hc8kSvuSc1GBpn}dGS=z_waHNE@G80HE?<NKk|#vsZd}wr
zxkCmvKdb04NXR6VUQ)z-S&s_OznVC(?ZCT>hjgGrS!{DuvJ$G_k=p6&KtcUIb$h+(
zy0Gthey(1jGEOB*<9voTs&F|og-Ytd9)T&ZSFcp?wuDN`WFr+NKC}id$mzrLha%b`
zy{dT8)OpkSLp1a`UBM)8X#f_HB6eMqYG^2%V#Cx*!=;!S{r+%6$a^?tkhem@GEMQS
zDoHwO`~GTs-C+dDHZ@EW3+gza%QsqKOvmg;O2?mq34BRq4c;+8#)EP)jm6q@v?gWh
z^p}|exqW4`<O2=7wC&TUw0|`Gm!hpWPBVvhX$>E)ZPUc>*KBGuqG))vGUAWL9SdN2
z=sJ6<SraW1buy}(sEF0~vmdbnTu<WY*e9!nkv^GE_E5Bu`#}WN{XW3K0?d~&)IzJT
zntwJMY2o)vXI_+=T0(?J{b!!FeXYj|vF=M`e7u+5a{Rd^@E3E;2Q_M9gqu<S`gjrs
zKlpjWSIP=}B+vO>u-3#_&8R&8B^B&eQFv3}X$8Djcc1XQtbs?D{{_6<uY`e~6;b)I
zR`Ad0K}b&?83$&ZlvE1VqvG?wj-+%eXuestSvyr77o99Lztu=%9==?bx?%;pjSX5a
z9U@_fhO^{v9dRuEM+>&}w}PH++1$xWYM8>Q=XF*<7*F>TS-<qHAizO-e0`G&{?w@C
ziEQ9Sc{K}0*0?2PQG4z44=ZCv{fVwGN7+$r<F?L@OiK{gvtei9Q9>4Z?(wf8%=jxt
zCAZ1i5_Z=#>~naifb1<Y-eiY)B3h(s(sdBP=Sdpb<B2?av<4*^=uHwnuMZXsgaL4=
zTrtU1lEu+8Pm38le-g@R``lc_03J^(kXuWoQ1PW@f)MKf@kB`e<>}oF;Mgmok$YGI
zLt{*AdR04!#&8}9uQ&@RrFiJ8ZWY6P=bwq0SDT38Hox~gggLD4KTyN(DuU`Pe_w@$
zy(03*<t(qvm_eV#Ip(n|LU^jP{7-ZRK}31_&1LAAft7Q-|GO^&xK8t6z@|(jhNY`h
zvyYiVosZu4nsHt%-&gK^yR(kS=;m{IUtt3Oop@M$aR)b+uywsX{rVk2nJ5;fvY9~4
z+!L}iD<?W_Dn2sd^^pk8wzaI>X$%%8V%7;Pvf-fv4sTo^cM^f`ldkM|U<6-egbqE{
zW5ts1!>@lN^%7i0(gi(iM&SC5d0DS$9j<(qedsndKy10i^Ox*n2-bl~Q=@Lom|%(R
z#hZT+PIX)2q#6uh;lcadO;$|kIW`lo@M?qz+VA2NMK^%h5!(l1#Vf>&&!5vmuD^-g
zBi}~tGxfnT#L54t-ZC*Reg9uL%Q(?;V9I-^fIc+5?aTJ%ULr^n;<`)26NC`sTX^_I
zJ<vZdaPyMpBC*<^QF*=lAMqboT5Z{~E)?puIq@bf5P>2QH5R?o#4joSh>=iTU<<k#
z#%;Vn?6r?eEt#ApQod?+vn}a>b8?-dgX{v~cK2+Xjr;;Zi(6`DIj;l0A6WDb87&ak
z!{T$>y_Se@l?>M&E*+5mq`rFd@&d6x<mVdXtPqu1_wU4}(m~%ZF7>P6B4OWLbnjpR
z6HY(78z4xcLy46C_RkHA#MbZTCuLWe(LYt}@W~f6P<X_V+fuqjD9+~8G#z0<O(o}v
zx7%r;RX!^HuyvXE<WdtJI>U+%#sd4O{Zx2Cm$e;NSS6^AdKPZC*ikWh{jOC7DkL`^
ziSOFRgvz^b5`Al2@X6=#OB+9Jn6zF}YN9YBhf8SZ-L2fXwZ6^3wTc36D`!&!RM(-`
zPAjSFdwDUiDrNtD2?{i)j+Q8zu%H8XQ*TukKW3TFzN!t=g5FEITjGzf;<(TmwyJ1B
zY+ZG8vj43KHJf_WZ`82i%GdE@>fJ(k$u_)A`k*FkPh2fNVZ?#E{Y<Z3*d&6=!@lB5
zV;WFb;3JmM#)-R~xb|6fiDIC(xnM%124uO>;*!(3vC8(l&`69pe*W-;@13d!wCAMB
z`bP6&!mR@)i|&#*A4=*C`%H$F5z1jwK0g||dOV!jC5=6YsLQvq$guDHax+(mAdZRY
zx$1?>;=(ucyJtelpl5aO>BdSSth{)%xaEU9?tEW&@cm&jgt!l|U6c?(Arc<0y{mxp
zci(oFg^=OHfbmd3k|;*x9jvHaQbeE1;}<*g$#7Cd<5G^6INoZ>|2^-kj2ALIN1Z0g
zuqpn+m6%}(OnlbdB{8OgPqe?}v>(s_hLVeeU7Zy6EqI*z6|IIVe9IQe9GcLVsS<bN
zl?;k<{V3a}ua4=d4i}(X6Kd~ex8MFDhgHwspZ+yTM&U)7%j4g*ATBEKaJ#4io^|(#
zYkQ%I5BR+ECn?(St=opozEKgMeu|8DiKXDtHk1D77gX5v_<B!Yv=UCse7bqZiHbaS
zM`DQv8d(17TI6q6#w6NT8~e51Ny+lRxwDrJ7c9>UY|~Ul=cvst?K|jr^@`3mDQR6$
zyX2&?F-i?@<oh;F@ao{Yz-m7C2t9aWw1H=DKM9LBC67G3ql0$`TRmRz8^9-#!S;7L
zWXz0cjz21<i`Sk#Y|N}Ngfuaen3xk9IGf6lyXK^ergKA^x|57yT`aTn)htc?dTT67
zY=<tg-}LnK3o!+8*BJ+;0xcY0ciz52SQlYJ=uL>PIq0~B6l{y6;CM)cY+tMn8csy^
z*6d(F<kf7?M3Of8l5#{YmeWzI?%4eO6aWvq9GR0>weeMt(Y3!hG~62SHhh1;ng{Kx
zEDbEyMyVS;zU6EDU}s+E(X3?!&v*MZ2E=M(iE;F4(*#ZY+gZxu+h_&UXv3LZlG@mR
zTGn|FLml<4xOif%tfAj#<&U{11x1n@CayH9;OzG5$i^gV2yQ(%t?i|S619cg>Dv|Y
zumjr>trymCh#d9ttEMI<(JT2DCuPv$a}j*4wua9a>KLoFWYoT0o2OAEhL^L{96n`Q
z13pqEpU_puTWL9)EhYu<!s6I{MK5cxe(I-@5u=8sl)BN?Z)})Q_u2o5pfxzqLlk4)
ztKg4$wi@fG1tR*<_vg+<RxmPGZW7L`jLW6jZA>O31b>M80Rb~BSlz^BblF}J@w&JF
zZ0il;QD!i&M4ctrXBYCGGgyzIQdwzl9}O_DS+qjNZp}|ccV2d$kij=8O&g>>{$&iM
zPraIL1UOW-alW!c5|!s|B$VZ*8ObWsn_t-jH0-fwX8$9G+`LrN<F#{)S3jgx2JSQ9
z=_CFy6(bRxc<e4AqrAv4w{*_ys<MEM)v1T3D+E#N`1A#-$R);cZC9VrPIKt2sfu#`
z!HXgB<@tKj%Zyp)SU<*s8Dw0R(sQik#PWFM!Dn*IjI!0PL=#mr*l;haGn<_a6XjUr
zv22MEYZOv%=4uKxq?D06Ma*c?@b&Eq#}eb^<RiZEBookVoqBYA&oZH!e7iM-vdEyH
z9w-@YGlrt{`j<^?bHt9trPXlr1xCmq$+t?*7+x>x=&Ek|M~s;aE?(L+&ltJoo<4Kf
z2y`x>z*))|af^H5#GJ?4dk-#dq}Lik;rTct0URRMzsy;fi=Jh8l7{m5<P1S&#J+ri
z(ogVtCjDb+nqh<&d>l16YXBG8Ld|wpv=Jv0r&hyhGmO7iGd=bX>Vqyzox*HW9U&L`
ze%Y{MnsI{HJkNfMJ|wi>pwqTpC)j$=R@EGuW^~wPchs)=T6xH1gN}F=BgQl5+9#N1
zXy$q(U7_f~fhv<W!GR`5`F|eFaaPleNp`#G3;DXxr&KSHPi<#B`K|o!Zoo97IN0P(
z#Cly&n5S+H_3B|n_<s{Fdp*tY4E$a0m8k=ZA*@%wCigRFNg|aNb~6n1Ewi11iaKy8
zf|5{Y|BW##^T_qf%nXCj1<|7gbeO2xv+cvL9}Ml^L;vmiILoj$v7I|ir-Oxz)9}7i
zBaFN9&VsLc<`|-E8_v$Wq`}|RAYfe@Wt48ZI2kIs!1zw=Wm<KhLGC+cv&$F$Fhn0k
z&sv{bWZ08Zi{|R7aOQc{rdvGYjM(p~74|aAj04Qp3m@jR;Z3R~Wy*7cF?6l5)p~4&
zG2I>g`5aXnD&%C(i@us<{9X~uS3AoD!mhXYxsFgkeK_$j&3KA&)FH6sS`IUus%>!%
zd!hwbz1w+CzL{nOLHD(Yp>^Or(KR%&qzQa<(gwM}Sw`LKW;H*1R`~MUS2@8!6HH|a
zS56qtGdjXrU-N%qgN25Y;rRP&J^1>2!Sq`0$@8BFE+uh*1;2v|jYk7AvRh4UjF%ag
zK1hW#PH+KldxmJ|aWY7CTuiVFTV)*ip3TG&!vpKYnnmV@)S=z**1Xg_6VyfRXJY%n
z2WEOj+NAyJz;cu0=my7i;PywL-IF8;{I(hiGQ%WbuJhY;>kSK3TvH0-jS_-8H`k3m
zJ4u4?His@*da{9I$(bA#b`j`JR9oT@Cc)O9H%=wValqz2ft~(^qL7es$KAbB4I)+l
zvr%T_0?y@+F107bLB5mku5FMSjLvzw6H+{o;V}{@?=K1Lsyq0yjnu&DnDE8}o_tX6
zBEod?iZndyQHj1MtOk=-OiyjP1wh!H8hY=mEJOyYS+cKFgZyF{_Z=IBpgVpx+Rb}C
z2s~;w>)}#^%YtL=r%)L9$`9!L<W~f_%<&U#6g8L;uz2-sw<xfT6;^+WQUa6EJ(<SA
zYOqB6`CVR8970bIu-ZtgK<85O;6jfYj5%-|OInZsk=U}TAN8srU3p+%<xvvU44T}$
z#Uc$Ydc}rei6jVC(wcp5pbl<6YBK-n$%1`?-LAACGQ802D%H~`!`mO5&&|ZkgZ#B`
zxu!mva9lsAFXWg8{HcDtBRon0j6V8b2tPo9GgJTS&d#sp<lk!}^UsRFRBTOEK0<}1
za)oO$A1Kh6)_&`cnKF!YY~3fm=Fg#Dx^CqzuK7D3$MUO3DzI^nhDOsvI%s5c5Lc||
zK>s^OeW9TSrAsLwm81iOS1Mf#pX)#opG4$=2PB|fkKEq7OBb$|P1m}+>%rXb!rdRp
z<hA>@Dn6gr1v|lC*|BRJzA9|f;(J>ID(4GtUiHxfl31L*1l0%>D#Vqv)^dH=l@xI#
zQ4gN-1_uOhH32-#Qr2cdfzNEw!+F7a;4Sv?{e}oLxYtzIbzrMDI1hW~DKYCoc%z(o
z;d2WZq29OsN}|G9*-~<!kuDsh{Fml?6rlb|UA{O$g&emakvVA{uu-^h{OK`E==o4y
z)5}VOu#p4}pGP!^xiOuSx5o+&aJ-hzVWNT6m7MfDs}$(D9;fHH-Wr<x_t)g*Qel5w
z!MwMn1{64NJM;UwH53Mk5cOl)P_^Z%0`GrnP_bE2KSI$4b`8Oa%cB&y6+E35v{4B{
zH-DTl++zc&KkU8iGPR&?i-J#ewJa>eoY-V}&<0d0y;xMmG@<at=;zJ@V&FdAxy5qx
z+T3zuC65~!p0$!Sazptb!X_l{GPey>b-a925J7_2&Ww?%T4sprEk4Y6Yz=XK{x(Mw
zRH3Q+*`8Itzl<=Ip|V(pHQe64`e`st8Cn8zDLQwGi8vwgOU$)a@N4nr;rSdz7>bIX
zG_U?m@X~i*-@4Y<4b<Db<$>!VLe_G9L){!vu!YZPzQhtzf3Xb2*T}%++vFLNJrf#n
zW!oPoTY^*exlAn^N$9Eyc}`JfLEC3vA8Y5X_4Vof*G5)E;nVxf?g>dYJasN~xket~
z_#Iv^sTm=VyOP+u-Gv>GiPe}gfB`BA61pZX{Gcg#*-@X11Gm4|NjkmN0y=y)rropP
zf}T^8+sC%8@qWlQb$=goaQkY~r<KJD6*CUsw>fZN%D~Eh{n2J1*HFSsKgI;od8PGS
z(j3TfaCNtPsVRK0p=JvmoM-sYy`NEd!;XT22_rV6CJ^yY@Zh@QNk*`KUU0S-JK8-<
z3i_jN0?A^tj`p5E8FqE&I4G-Z$U4=>TpVZ&eXAa3a}K=>V77gfk;{gTUEyQn)ke@r
zyG2yF)-i;?6osGK$%YdtVSXwiM$lxh@#%Q|3xZZKZ+%LR4WEb&xV8isLYUX&?~C>w
zgdPs253aDHqWDkm_!a|*s7e(liw+X2ty#sxORVVFq$|&CWB@z<%xt;jK0*+A;#%LN
z*ih)}$BdzTedzOj;>f#xjEG5iQJvw!hU@qem)1$F%}*U<=v7P*nF0KaW6#+zKdWFt
z{i+@eOAsD+4W|g2o79`DChVwOS65=dtp_g^+6Nm_W{6OAIfdB)cHD_a9*f55!d|<7
zbx(Weh^X$_pCykt@X*&2@Jvt_%xgIM$|M(whu^Mk>&f9nJCl9|(F`4MH;9iv<FHJ$
zZgBA|s^Y>a^$tG+4IP+sRA`g9yh;S{ZVpRi;=$W2VO<(8=};50oGmiKghiIYgmxe=
zir#$W$n8RhqVut=L89yMr>&RIL2iE3kG?_7P0`?Y|JC3dTUpRBBjCZlHUVsVw!us-
zodzV0TO~hIS@AZ%wLsmlAex1TooxXc1Z167&iKcMmlQuL*sKcS!K^T=*gh&G796Pi
zcYp&$(*Ld}>4@MT&YYCmja0Zds5_!E#fieQACp(ki{jtGKl(Z^wZWfhV5fH`H?mT?
zB7(-naPes$*Dot==zrlK_v;WZ9(~N$tQ#(YZhS+lx}6m8SZ=7DbLK}=i;fEmR4KfC
z|AfM|FbecVre_W53*w@$_>@1Z45o12)UVN_z_~kFDm!)x;r=_{Mz~jGaglPa^D{FA
z0#}CkJmZA1yC~qXjQo1suX`iTbVv(caIgGM{w#vWs#JThL;>&cdz{Ey^EfHi>gvOm
zVtCA}oU(aT5sUv-cT$-saNKO2v2mR^4mFO|9@kgKoAqJaz0D{<y5!a-?j?zgc0=FG
z*HtjgX4zZgHU$zNy(w#xm&S^Y!VMG_HJt8hQ)yDuhCz#l$<A3By!?c+K{Jws+M7zN
zhkCVPFX!%%xj%AP;keac3m+LzaM&K-_Ld6gR;aa_ObSSK(K{xat%1^yJ>M@Jqk%=w
z#=bOhMVykHjeM@Bg&wJSHJg;^AV~#@79%A*YbGU`{)&RT97pz)kJBOeJ(*PLt&9n`
z1AI?dQ!ybke(y}b4t#De_CJ}Xg2Vgvn%~+%!*_3ESC;>+<<`{m_Qv<BsJ1w&#xq63
z2ccg_UX%4f)g`<5JTnQqSL>3;PSY{_<h#V*5e9HFU99Y)wmPN`3A5Mq&@uJXN}BhK
zA;>vQsWogR<FO*#z9_1Lj$fVxYhN;kSet_3b*>s%tUwRSlheUNXDI#JYNp_URBlgO
zO<boZy?ypC9ZzR9YwNa{K}Xk>$Gv=7_^K{1M>&R$Zp~&XI;Sn5W#yg2>-$<bJ1e>4
z&vzQ$EUrr*<phv_eky|`Ou@u!CGAvB8ny_mewVKY;Pbm7;BQGmljm-)mB%Q^SFYd|
zxz=k9SF2L$btxG5ZPSbA$28IVV2eO5n-%yA8OJ^t*24BHzQb*0>KL)P%V0yO6&!un
zBK5;v3tOerm(p8Qu{gb6rm5KqJWpOzF1(?MX2ybTyL*(-A;dn_ah)|tMIV{kz4m{U
z7Xn57{p)cmrE>cnF>BZrufZ=DLdI@as#xe2X&ianIV#3u4M{H2w|8o(qoi^!rpk%o
zH?xH(?jb7(uX~&?{z?s9j*QeQ1PJ0>7A@vxp%u8~+8s&Qpo$U!G7HWboY+_)NLF;W
zf;XLcRw;xs+B~PQ7hYsW-jnR&gUnWdFS7iM43zM?@J=}|@+`4T9sTn9mL)hY_I{3g
zqJaMc0096043~E}mJJlf?Y;NT-s2tCYdyz{(69-~R~cEUtW;J-*%28<NK;lyi+Uar
z$==CUR%Fkt&%gH{=eo|h&UOFpJ0UhC>gmEC)UVA!4Tm>`ukzg18~$Qgo<W1Z0&gG6
z{OxAY-x`2=k74gy*}@ohiT;sW%uOV`?`jso8bCl*@xk1T0Ct2sKk}+vCt}|7I>e?1
z0Z!Wb7Muqk=H+NmrV=rX)aI3y(Ec(2yOy>3P&OXS-6D0&mi!C(`dUOtl+ge}EFA`{
zrZ_RS<ZjN`m<i;;)D^>Ab$#fMb6c4iVaK#x<r$mYCy}{S))anEJs6|GJ}X<YVD)>(
zoe$L}5hnlpYu|Hqp<&xzTvLz{yYxcyEKy+s>D3!%`aGZm^HV*-FG+M*)yhPSdfYGM
zKIuR4u0uMo=Zj=|y`;w4Qx#Hvhm9dJ;*!*T-Xv(<O{DAeqQpGKTSLmNhLLM%nQy`e
zZE!LEw<Gam4_zDKH$QLLk2p#LV=0?9jFRYMl3lmah@MPRuXs125qE-e*GmfoUM5TW
zIBlXOPH~1?-&&B>s+KI$H%)*DnZHG!)=*a!vdQ5ywFph?;S2?3P0-|d{`hy)3L4YI
z`MBG%0_lnnY|c#AfL&E5J-6&7RDA5-qj}^iN-(}FWJjq1Hs;aV!8;46=K7C3B2y(A
z+d(5u3{Zz8z2un(7Jt!iY_r!ZmTJ+ll(~M^DIx^bTO2D8nnmC0`H8cOwV>RE-*&M7
zh%l8f+!bv*gVsx+Ot+c3P*<PKhsuKlaCfC6xBs0&g<jU2i4EvO<>?t;5nTvie1*Ry
zdSntEx7XCW+cto{pI<Mm8o|TFPjW7;_#`?UU8kPKJBn6zxAGQy;z7~(3@hdH33MPl
ztz*!196hxB_ul*>4*F^+8=Wpqph8CiMR=lrqhBHzL;WLg@Jt~km*esT`jwm0h_ZbW
zohkEsC%}#ajpd0PwaN)p1uZdpj-Nrlym`~{&O{Bot4FBb$xouOsr<?oWwWTfsD6-D
zpeih#)>BSwn?x_YW%(6uIgh>+xVk(1R0YOtVmo}EPoe$S-T#YCTttWS^wW-vDub}=
zT;Y$3X*B06i$X5rGP-@pOg`d}GF)F%bQWHiK@a!Sg*QD~L2s#vOnJF0LBHN04(~dP
z`pFl0iMgzyDgzIy_evE(=cHhN6XjpDLZbf66lnv^eer{iw66dX^d3#e2j|i7LZPqU
zU<<t)v~r%`UIFYlLN?t)7txkr5n@g7HhQZ&aX!CX9^Q0oH{K{%LIYlORca0IqPFj3
z4^42&gO*N<-sjn6luerV7!6Qhb&n{kcSGeMYMv(ZwbLs4%#Y5iv78cnfBVL5j!9Yg
zd-7WLnfW#J)=8=9abs$Xg_%Fa+DR7tf00vFOE%C_oz@zD3R+B4`OgAvmkiMN#pumv
zZ=uO;D$FsHbQtT+yJEL(WuT6J!fX2dHX0{38S{9D0b}`3bLsGaH2Bqc92#ZYL*K^<
z1=^T0V{0jHKHWaja4~l}CCQ2cV^*h7>uh4h{4f8G9HWv375Vv!Hy<gn+(NsH)219)
zZ1N1{k;hWt#3R7UXHJdHrCobm(aed7oj%_sY$XLFOMkwr?9*UX`yVP|E^}jMdrMFA
z>7^j_o^0{gQ95j`gN3i<C@+>~dN|O#SrV#5eqLEyV!&*^Gbacf=f`xC`rA(COTr~*
zE+q*qW^816P@gqY5M!NCcd3bygt7ZNuUFo%VmPnA0hSZOShPBofm5U;428R-Dr$3J
zZn_IvXK#vOG>qg7-xNt$sVh`fdB=%enh;{tFBQkGr)b3vS4+Zl=LA2WGdEU@e;=Ml
zlEkbh@9rOEl!E`-4_&_`#fzB-QI%K!mckldPGfx6q(EPI;MWUYe(b4RPHAVE4ED(?
z-ZM-<8a4?&LK6f*?Af{XO5%Mv>{#=7QU0_v#DD4e)e|O+m0yccTqsb$vf@Lk5?5s4
z?4P=@$W>A7RN=O?SFI9u=*^(9Fj)?MMaJG+JtmID*xtSQb5jND>>It;FeDF;ZQ5l<
zD<v?C+p$+>L~vN^Z1bXRyCQhyScC)-rLfq1zQ5M`cx<M;IFTf!0@6i-P5WP@u^}l2
zk5zjDrYV?5)ibOHS33%Vy-&+xIft$+3!Wlk9E?93A4TJVb9J(EkyainImKH_YpRYJ
z&e?@T+7LnHSBCY*O9hPOe)$H0P6Mkf;Gal7p#jc27RZE|5*F)VUp||lfyqWU26rcG
z!Jd2iCyfqejB)ynv3a8g_W1nm%hU@bX!^iB`dLdAOA?lDE-cr;^n%7#>3#H|K>n1P
zp}!jT=34u+6IvQr>d5Azz+VH%68pR$LBwIyUp9rGolwU>y7_2bIY5-9LzZA14(kgQ
z**VEY#1>}wR@M6sI5=>g-sUw9bJ>!bs=k27;(Cv|hYpcJ=BG?lLkSMkGwn)V+Ec~4
zyjBA4zc+#f+V`zbLJsEFKB-4b6|uM4Qa{d}Hij<9vPxpZVXGhUmg17K7=@3X<e7G3
z;QyVcE54+Pxp^#JWKEX9#AJLcgcwX<?uBn-OP~t&eDb?o+hHM$B~N&BlgR|GPRug>
zs8GUOse3H%@o-^#Z+&rYBgWvv{HS^MlLB_NWB#yCI4!1sffD~T$r!5VO+=lZ$YGkc
zp20&IODO-9X}#}a#z32OOl~4n2IF9IuF|~Jf;{P!uuFSj1OW>14P%F;u#~>E`MIT4
zWZdOTXA`p#FoYI$X9!DRs#f1p49S#mKS4BdG?)w=<J(7<DaEh~Nmn!Qp#!E4FZ$YH
zL+F$`-9+9M#FhnLN3*Fh0jE^@?w+|Jm@1W9j}iH>cCLt$<83T}^k(VLeE`^D$aQ{H
z%!N4$HFNxnVS~3KTt<J@02ba9m~i#7VRbGR#~5STA<Nkz&)Eq92g1~1=LiF)?!B8(
zM#%v@Is&bwrwyRl`D__w5H-ffS}1PM&H-^Y*K}?L>qBXOLEN_BE=u<{!?kUT9kl4;
z3sf@oVDtFo_N2)wI&C)?^{|v3Y`X=jusU7%6LOsC!h!!U*#B&OYRwLK<IvfoyE+iB
zR!Vrj*NxUcp5SCzVS~>2l<qM^2NF$ByML*Eg=}kB+_cDJgKH0&>7OT%V6w)NO^Gys
z9NCt!-u;ga(o65&8XD1tO<Mm|hW;spqJhiVT8|CZ*YkCUbhROfHYnCTei137oDDB0
zvB9YGwQ<orEr^Us|JwC&6`38abr5!81G1WH8jev5Vkn6w8Fw}j57S%UZa-xMOQ9!E
zK3~y<ZXKsyUBMlsdnR;QQJ5V9KOOVCy{G{{`Oqg~=k}4m_A@hYs@Q>q{S<UPuK__V
zntX4KC?RA}504phK!~jCrre@BxD*+`xL->JT<?-t2fuItb&43vK&U$8zWeaRkVFIS
zmnEA&IC6rjU#3Dhy*iZCh-7IM(Zb^L8TCmzF1Vb_7%7!Q1S5)DXL5z<L9c%$c)f)S
zoco-TmNkjsZ;ZyP-(>)Kv+}2jrQC4D^ktmb4+1E7nNj<4F#+1bo8k0=2ekJ1#pfak
zkk?W);E~S^M)xzgL{MI+y9jq)sS==%gk>@TD+oKd<>fB&!Ih93+&_NffqwsQ72O&e
zv@Y<66&nbEcl~0<&?7upc$?<<oZ*1~u62LmDiVYnenMFe-gt1WsegXjffKw04x7Xi
zh2b2bLw!*j4+-wFM^~H=_R-#XTRb2FOiKL*0bB=jvQ*z^T;zu5;!L?CkHp~5rlMxe
zIu6n<){hiq@jxH)wKCUO98x6iua8XP;ML2zAhT{>&{p2MuW2d)h5@g-7k}a4hy~_+
zSDGLEfASC;9VOxZdG<Dq1st%6q)1xD3xJPw2g~hHDY(%a>B`Q8hk1nsV4)KNOuUv^
z`H3{lMeAE_Y2aZhw&mSsrZ5OyIJ+=DC<D3ua%<5+c*vHwrSC^XA@ySB9XU}sXl4=W
zv~0k`zDLXX=^ZiHFVtp#epVjr-Of&}sSzN$`Gn`Nr#OUI?Xb$dPyj8|zF@D60CTS^
z!?_(LK>Fk9;WM*}aDlQauhxtRO{%Kvu~w2mHlvx?lT?N?f!?iF+eDbQPx8cDNWr{C
z`-M0&6)5|(*{}ai9X@{#$@aI9hJxGD$FJL}LK;==;`K5Oxbg8%F};NhsB@Z)MeC@+
zZeJsnak(atZq1d*n9G9c;_AN#D{3I+ebw~kH!YYy@8IjCD+id3&5*4Q4lG83lPcG=
z;qwH)R>>iGc+gzIy5od{i6bL^LPQ<7*JsjGw<r&w`)ni14hNpkd_9b==|awcUK7i~
zo)rA{-s!S9APr8uINhKJ!-I`?H_3{iklxxIo1+GHF%>rX>;~|$BXj@Q2Su38-y=TB
zP=&G5ou_d}5zwgjsklV11awukt-}T?P?B#>)FT0mIte3R6qMl6&WEAQ93==m9r2#;
zGeC0TDRQr<5@gt?(64?}fRBL<suegxkep||^KM)b9_?{25T46{si29HO0prewpxqs
zhbn@-9s9zYAQ{+E8c56THiQ&K(%J5D1$Ysn9ngrEf;-t+lKj+U*jE1axK&C4+Ea5D
zFD!~5%-d`46eNQURq|RD$b;1WFokcFD2$tgRL>pgslD>39U=!t^)<&Hxd_5B7Jr!|
zv}DkakQx0gBMa~M+Tvy7c_BX1y5i)4&$m|i#jpI6hJOBE(N6qafZCY99erj9RBw6c
zmg}Uz`_`j#T!L)yDnXOG%-s;&f-EdH;w0f}u;W9Seg>G1o1=;0Hw1+QwdDj$3Aiz|
zX#U8T2AVyY!=}C*_<v;*@wSjS6z?<lI@D7@g6f6itlj{zIKA%8AyKg1m1esAW*Z@J
z%-8fV1MH5E)%oQM!z_*^dRK7+x%g_7lybm}2wXwJwd;Z~e3SQCTH^|$#Q&j{aNhvz
z)xS-*M)QMJ7j8YvdkM+=^!cCffIduGFaBvO<^}vJK5eFH0eM~d-;-=HeTXf+E#38x
z8<-xXRaR)vBl!BkpOx-<;HPHkbNB)m*n3)puMYf0#JD7N{YrH~E^EeNh>;Vt@p0x~
zBj=GTq2HU7cXU8X!!$5BjUE1LvaVxVUqDVW%YV|f&;dz8SFzGbR`_vhs9S_(2`RQ?
zmi+vfba4Na(aLko@OZ6E$IopUAz6qG)$VJ<<62SL<Vr?Z_H-Y-u)2b<SZT;x{-+Jk
z_Z*9MfdQO`pEkr)t|6Xt3DVBBTHxMOmS{vr4=1goe%{O5K=8NlBR`e2;G#$9l~<H>
zp!}@h-lvi+B%m`up*~9!iiDRUYt?AMf2Qja)zCJgf5Re!lSvbn&Q$y2lW1VVZ$h0#
zc@Gg?=^lO)sR8UIf3Ixw(Ln6iQ;UJeDS$rDVXSCN9XcN<$p(I>hNe48554bEf)-}t
zwtQI~)JvcDz!PeiO|LLzSfGOCh`+Cs{}BOqRF~!4fgbE9y)t@|22LD{KOB3V2-F+q
zpN$%+K~B^oW@3o;fLBlL{<09EF)p5z!cGHZ!cu|DWqNqvlXb5%hX7I^^yyDurU72^
z$%Q^eM%WM~@!H`Dpf20UbBKZ#CPqlQ%G*qk?La1Ee8+=fw)x3BFK8h`NMPA#mIXqs
z3Y+S^@X(`Mu2dgL2TyJfoEY3=1B19ng<>pt7%1o`DEvnc1xnu+!*V!a<hIHF_!}J9
zs@Q7z`Z0i=z*~wpt(-t7B^P_n4F}qDkE3F97@_WKisc4BH=Odb4B-&K0WQ@3>z73)
zc>9XFMC&RKMCR<U6g^dg@0A^1IX*1#uYASCZ-W=KRPIMaE2)7|AX44Q%m#h}Q-9)8
z`Jp06n_&l4g_a@rL5E&;$Z<aFe))(X@U52(r+cVEHK&uk<Rk|?=GofYl@bQhjp^@P
zVyeJ;Z#HjsgA*unj-RMJBnq;e<ix016<~FI##kc34H=VXkIxt!0%wbDajkY0P_>v|
zk9X&R--L!>y&7@wd24y`cdH8Q?Ykb$so@1DH|{8hH3@L_<GPpfM+K%<*l7ny{E+I;
z{@{kL6lh!SzR#Ccg&bA7b&gg67-U;<+`TIe-_?EDdvB=%S3vM88X*Ks>J2|n{*!^t
zm3}5ub~R{r5}%?uCIW_cPCA~wAO}lo8(vm*YCzk4N-tPL4Avzdn)J>e@N1ksTi+fB
zi65%%wnfANeK*Z$5u^x0+v#}41I~&&-T3}ZNdkP0v??h7DS<s7r?+4-9)eE^6z7>p
zf@3FPvLI9i5(hsCtezl%*ok(FlU`Er#`50-y(v|o_`{W<LMFmID>RCvN&`c-^z$51
z90bpFosBuJ4unjl7aG+vaFjkyQ}5spZj8pCMz3gqM{)g_;Djt>mwuA$z~Ld0p>NaS
zt0oLv`JXsNClC0_1S`ixJcO85jjF3?1KDeNphi#uW~|Io2T?q9^0UVU6q8_Zvq#lg
zKoL@ZzhK?2!@~%^`VdJ^7d~s2*na(|2p99?tRpk<@LcmIYg3mVEMGXnbMu1|a421F
zq{rjo@BZSqIxhnl_i62NJ+2I-k~Eu~G#p6863ZSeAn<T5%5|np8D!5<nrKI<fsM>^
zu~I3(x-9?h+JG{QwYemAhNwW!$K~{o)`nm$BR$XDstn5VQSp&NO3>cf)#^8Nz%Qzc
z<<-&3ke3-E>K!Q$AEJXk+aD)`^+3&12Zb`oU=2sQ4(>#s8IbqyAsGk_DK1A%lpy$w
z^Ld3?Nl1&qsa@$H!#T6oHl-7aFsB_uwJRYG!<2?d<OCUL=6sn%^%WpA`+{rCoDht1
zlsfVs^fITL%oXc<a&U_r$H}qG3xzX<1`btZFg<iPQ~QZ5%=-^aMV#k^hCn^i)=e_Z
z;0lLtYs-MBI68KHkO^)s_A}7xl0hnRtX{W93Kn(o)J*HtFeuVU9q`)_Fu93yRHg?x
zXIyjD?${1O##-v<ZW@Bbe9d}(yErVy8-L@)mXT4<{0}7}hVX}ePv>ES7~}+a&3fxj
zB0^V*`5vzT`sCv!?U+P>%5tFXZ9_L=6JkoQYYb3#L53yxq98c#HcG5KdXA{o%`HDI
zK_Jq-`6S0aAE@a+kw~DcMURVn+B9?<z<<tmX}%wLAl+Ng=txfo>abR#AG5Cyw}0%C
zj0(8GZ^WeQ^3z^4f&P!;KUIA&4+|1td&dD8B9El?pZ-7z4hi9{Zh8<i&J`TC$_fEC
zx%Ry0f1np~-KiZP>H_xtefm}>6S%l5a6by`MTy}|-z$c7fIeU1$Y)vxaO4*39)&Kn
zN5|}Hx3msqNIu?`kEI2#lR~vj(yi!Z{A}O-izEp3%~lk!rv~+XX)E*db*KxOpx#@f
z4f)qzy^}vj3C}NAFZX1=MlpdG&#VNrAxc7BvF*}6BK}kGZX0?FNps@t>kQO_$z0TV
zF>VL(W5#)qw>}^P9X@|#yEVZMD~~<P@((%m#<Zj9<2S^BbVpx^qzMRCU+A{5fk+iT
z<FPX7L@v^#5F;LGK$Qed>afB(!k=<}*;DlgvZtDPO`byoS_O|wg}+`!C}j771o(y#
z{{%9{%5`<%Jv@fJie5onxfA2p_Qntk($N=H8$_TGcX{$LV;MO?%evvP_8Z~av|w_-
zM1+pi%Cq^umXOrzQMJ=cQwZ%lUXG6WgPtO2vWxRvLRvh=WdgSTAm@rG-~G8j0BB&s
zHU*cEV-&4>8JzP-^G09$gH=4-SE(!`Z7(7rFH9~v<u4)>`naKvFg$!U|7tr<w}jk(
zOaFf4@G{c2B)=ZUfQNOi;~vpEONeIrDS{-$Dq<5M+j%Dw2SxtpI*z6<A!n7CJLTHf
z5REd4fqexW<h))wv(B}Q{Om<}b*eTH$AYu(<0I8zw&<!^bLBF!PnBdh^>qtz3+PUK
z_evG!H)txe!&VTFp(RiHwQZ#2<#W;K1D{{|?w0oA+$tiRH)Hta_#VRHw_~}kpaRPY
zQ{gq2*AUXpTCQdv3Sd+_q9J-w876LW{1Gc%N5mZFZ)!ABLYwW>O|DN$FyL}3A(&+o
z5i&CkG&Z4zrDB$|I~+<7Cg(6ZpT32Z)sk&aj?+NDq(>^dpCX*P`nN~%$Tos`THg|V
zOb2W0lq`2!6@cZpkGrATE>eF4|2Zg`0i-W{mL1ks0P9)zy*kr<g!JrR)4eB5;Q!`^
zmFG)&aOU%B9dDul-?bk(H1jNwGU*!kK~^5vk?$OTIH^GOZBc!OA3LNju9U^Tl!Ny6
zkp3H?)bKiBbDPA?3En)_^~E}J(B1LK{2CQ4uv_?-#-(t9E#;P-YL6_~t3^ytRM3HR
z{m5w{JP%<1ZqQqV9q?e_)>XkI24KVS&d(h1{S#6CbuwNS4&UuHFH2{Fq<c4e8K?PS
zWpKC?TbF^$p-*KZTUel6dadLRjS!^1W=mpkl>t}6clj(`c9?#f@-V_m1V~p#aqJ&u
zz|^uc?*0-7w4EZaJ!=(%H1+38&7Wl8%=B$%dv`8)Qe7s7Vd5Zn*1~<{pf6^#Wg~K%
z++ZA%K^dqa3CxohMni;U;oNVQ2!%3UaO|=OoBb*UKL*2`{UT)Ho8PN9M-%wrdy^0y
zLx2oe9z7X<j9Cu$B1FoG$%2sbFE{7Awj4w*=;2+y$-$Qp=`8LK!eAAX;L0wb0Js-Q
ztf|!p_rJZ<7Q`Y3AqmdK8Z1iiAhRp(%7OwU4H)xo8;L_n%oqPp>?+WV7k<L*tpthp
zmfZHzCE(Su0j41#H3*wY=dr=7z%eQwiQ)}ONOFnxNleATvHn1sc}q3m33R*W?=1}x
z8!5+vlkh;n8*5Q9frF6tD}?Y#8NiIp&o+b-fPalDQqYb7p(<RnFTLep(==%*&YTD@
z?!l#=6(ZQvaGM*=$%CxkAC+^fM6eZ%^02MdIOzZ1_vbwn!7kidP2s#cd~u>93xC#v
zBevy#o12xO?3twgt!L^m`ngO&e~<*%?DgVa@Tx$Y`(2WL)<Hh53Xa(3)C2EBGm3%g
zszA_^*S@H!4i?S9jsunkAU*S1VM;^|e(76>afcHjdE1FM-w+_&U0457ts3NB%nZl*
z5#ZHBk*<!ThEO`=V8_Fb1HWg+CFP8GcxP`OudGJ~{+fNW2`(Ji)27(|_@WAX({!5F
zj7HElVK*1os|E!B__YcKB{+S;Eo|te5eyu?V0H(m2EI{KUx!%bKuxRYj@BV#$b8l^
z$EK|cA2YexH+CiAic{U>+8JY5EDAGSSXBnLB=M>^S}};-Tzk+KYz%fTG6C!XN|1Zq
zEFnFL4{GPco*w$o7~bp5rCC%fK+4n^>Z@k#Ff`s(Br0tTWR33DurWE1H2m;TN`V>*
zd0zMbYchf(xdbtn1sO=~qjQo@Tte(G5v|!=jevMaAfshj3LuRBs5O5o@}MJ<Uu}#G
z9Q?0^bT%YlwjlfR!0A~uzCJ(M?Bs#IMxrCpiNo`EODYQwH__xt#xS`KLx>`?_6%5v
zKnlN!*r`AYOhrM<H|Ve->_s2mldKVdI7X+bBbTYM(5>v}&7S}!kDhvm^W}x`fUl{0
zNwk>7Tm80KZGeEn9*<sYE}+jYGH;rs!z9BSyDBdsaG1X9{{4A2II)%0&Rk57o%dDF
z(+x9#JHM)Q{NFKxUu~V{H7W+|)sUA(WvV`8C3adXZ__{pt{YKgWWc^XE*V~Vr3a!p
z+vXSFP(TG2qf1XeJ*M(gWh;D87p~nO*f4&-g^2ql*ZIfMV+kbQ$k!aYz<2ryS+si@
zF?wQX{aKzKyF2-rdh)mq)L$8A3$UL-K2|^aNd1)#6V&1__evuHTb|&Li_Zp;5fM4I
z6fZi=K>kKs_NX?voNQ0=`&WY~k6p^J5~jmOdzq%D)U~17(5#kGvj+8I$=xvfMT<=`
zer)f$qXlMynH0qyKhSx;di$L^TFf)VbA5496V7(gHnds)La*juxn5sOi@lrfx%~Tt
zCX5di;D3LcLH9KKD`dxMv0LFHjc#=sK+imy8T4iWb^K<WyemP6*{0;l5;ZkoB|*6L
zT;?*$*Ak<IMblyL>z)Zpm#D+CO<$~p{2Kaa^-@&<Gd(8D?2hA6PzRO4f27>Z4V3en
zs6pjBdaU-U`p)bNBD4-l>=G8Y(4dzzNeuA}7#+o;>q9jnP}Q-e1nTafUWFnpA8s;Y
z4-d~O$bTfjpur$7+}K0+q5@PIo-$$g{BN?Qm=mBVT^fJMlLBi!rd)A)nHhW4{bP7?
z2oKzy{<rR?Qer>oE=Qm9VZ{PxqD9RvALRGDXPh<asW6@ao8x=z?3jShuYsSuc(^KG
zuscRigGt$ve-s9AU>@fAQ=K1hpu&4?lG2$Ld+d9M#x8^ti*U6y4>;(RTbV7*(<mKw
z>sDainRG5}=5PZaGdB)m&#5F1>M>w{qM2UlwsK>NR%Ke$ch#WsmE%3(Zbs~o{lgk>
z8D8vv00030{|uLTG}T`hhlym&JkMO$baC(Hn)z-NQoW@jGzcY05fvg7q6{Td5kHY3
zN@P}iPo@;gOodQn$~<Oz{kzvXYwfewKIi#7)tA%CQ`poXSxEc!P&ga9{RrqnlLe5H
z5#vv$I8`A2Zq9Z+%Yg>F+EZ1jLWs5d<Ar#VDulF|m(QQ%M2BKnD|Sr^qo8+X34Prv
zVD&3x!uCBEvK9HUaPOliT8LWwSQMuMw0pFVGeg{{;JC#%-cRD_3#CZV&_x9v&$u11
zkl;mq6$e|&W+hS5^K{1f<0>$vYU}&QlMkh>nUd~HN~6vj4*yHDQvr|n{Y;8O{OCWC
z3O!ys8C2QyWWR5q3LMXT=Dpul5XH0&S;b__qDj}aQ=APdkg<1RNP|-t8GooB-@8W+
zE#+$4SW#6WnrAcoNvjCD<0hx_`z8_bCN1(LG^#?(s{s62z8DJgC{nw>D36v6<pi9f
z)L_*WWq0OCpny`ru=D<kXlW_Q=bbSbxWvPT_Sj1yKDpkJL>6TP4rjV+zmuWujmI?K
zO=)zne=z<_JPG}^{MWN9h63D?(vFjfGU#>j#u%@#DjIH6opZQIh2_sP#+o&<sONl(
zWaWJ|<k2?$#Kc}5lu^D;?;HXB<}o~@dX<c%%ti^AuLhhinu_U`AtL*bw&2~nD5wS^
zu#RFHJl%J+_RvvzG~UM}bi$W{n9--pd|X;E-n?+?%5?=4_UztBeKQ3;*0D`F7p4ub
z>Lq;R!xfPb$(BK5iGretd*ccGx*#P~9q1jZgp>jcR<))m=&J6pTTP)JeBzptJm;j0
zjux;Fb-tn?T|*(t%i{*{N73q4ya);XCtRXP(4Zi7nxtgzj3HdA_!8ZcK|*xh?K)F;
z$SAV9SGG|fpzEsg`}|cB(lE_x+(T7E2A3{m_|609)AYiR^QoZF%8HfNEfP9YF5fR0
zYXmQ8!(NpOB*e5j-}Bc`30=5pxl|}@3^peW-ts4qP<QUhzcIKx0*jjaFYX#cet<&d
z)P^#md*UJ+KTJUMv714|O~#-Vpxw?wQbxYiu?VXzX_VIX&S3A7F@&#m=Ft?D(0$H=
z)dN-%$la`b{M@!Ns4Y=@KCdgFk}y9p=~W@LcPQe}#lOZd9A08VekG53KJ^S--OY!5
znR~va*BC>zTnF1B6Cz5ii7w-n=R{^nWie90#*or$e0}Q^0ja$TeZzEi4^m#>8Q@np
z22V*Xl|pk_bO|C)UMQnO%O#gM9(Egnjmqu;`j65mbwBVJ+b-kg1f4^)YewKU&?5NY
zpcML{=#+c<?F4@5{iSy#CL@U1<4_%1CIC=CufL9h>upP=)_U>GUY?LWPXMgboyNCT
zM3BN>ujh8$x%hZ<Zg-;sfY_RJ!NOS~WWCOHmB;!MHcg8v{_TaqOSG@MdzK&di7HT_
zqzAiHB4(@l)DWh>(p|DG;6<!8U$@qa2e8Jvz%xTN2JkEZxfi5zqtAcm#nrTiFz-?u
znUOht2>X%{U*gS)V)F88xjqhI_o{0RD~S4V@YX(u1`c+#DsjNs<-`!y$&MSvI_SZf
z&qs2#HkeWK<Kt(L_#j5yE9!JJT^CL^1khy~GNFLxm^Sa%eb{olX5#*F9dJHEyT107
z0r8nwC!IXji;X_X_}WU-0aYF8nDShD<ni*7`YpE(Z0NY&k%65(r!Cw%?D=>b--R;N
z)6X_z@66cd$Un6pk;kJm>);0Nc=&vpMeql#E6hheQcnxw(A9m+H`j13lRK@n&6n8B
zaKOpZXPWRR)l!gS&kA0BQ>=ehI2{kA`@nr`mnIZ^yC~MOxQHL@{oyY>S&b*V^F(I3
z(SV(7=OnDTfIIU!KUjp%c%o)s2ImhA_|ZN|dr&invl(S%hkCZ-3Kl8Pq7G|7Imy;4
z^zke{{c=gA_H7Ton<J=dqgEY=|J^9{H=Mzr#Z}}jj`ZPECBJ{`8>&N2USaBm`oDN?
zU_nj{%MebH;+3Mjr-D0A<}K4VQ~2p4tXRzRUwG-X*%91;3NgbIulW`x@m9u6H6a+q
z<J9fGf32ZF-3IfL-2F-1Q}pO|&%_u`uBh@pe2@bFlP5-rUY^7?SGuljWKZH-R0Aft
z9x_N@eQ~=bb`tj)%(E5?n8pRWM1A)=lR<xW`?KcuB!0wXMo_qN7H=}x_X?X+gF8bp
zM5o*-{819`jTZBH{NbK^5B?{n2G{3hL(j(k#mfYw`8Z}4@I;wbr}V?B(DhY#gjg|+
zm-;&R%oQx*p<fp_ltNWtzQk9jm17nkrkCMqf4qX<E&q_vUqb@*<<q<k{j>N!j|Q$o
zPuK89hfi50OeA<Ak>d$1bND;jP~^c+>-bd0EmU$;8CH+$KlbXM$5$Vebnq)|;RKVe
zlCd-;7z;KJUguoIlTF%>=ANNLNjltXjw_0A;FiIaKIbL8{Im*tOdUOPa_X_zcR~@8
z4-d@+|6aytPrgcKJ;Z=!2cfp2OacCv(VN~Bv5Lp{?l;d~VMPD(kSU#v0`M$JdTiML
z!&S~UT{UiELP9DR{VvAJ17p41O#Ar_{5(hGZRRFsWU8HHZN)ARdD-ztLQ=PIW5%17
z{_CtL#>v*+B8mtfF}dNPa5|Kz_ch4Rfdh>z+18H=5Fy&jljZjiJ&IYe^_QaOLXB3J
zug$)c12?;34}~)fh+HZg{q`C+`o!#_WoIS_A+cAIx;7aR?L1DrvYQt@ed%`M&@2H|
zLn|nDADK{j*%z88&WDET-k(>^BEYPBhT)YeW^_16;|*hm0J<%Vt-W<609*a{E9}2n
z(O9OKuz!&dI<LQX@;63+6P+W`-WUh6`EB%>vM7Sa?JoFeDiC14U0hM2lM|I8%gzff
z;^-u^8{cCh0gB#7eRnv{jSd#@L`AYlp%E{OXKscBkSVn~#xTHxqPwovyZK3@;>m>n
z^?L2pFSf26i{wKQgPwlXtg`4XcETyKi2z5MxK$sY6F}~#OZWdOBOr5nkt?Kwa*)yS
zMYQ>}5K6F#boaeWM15yp6^^XR!FQ&O;rzQINHR>xllPJWB0cFk^YaH0sw!KwZ9BwJ
zWXap|pDs#BGmi7e^13_-9Gkf%azqlzK6G4y+axsFWS*bxpa_L>&Eqluq>%IT%iXsB
zsiM;-+w2<omEne#K0~~N43Zyky!pwIjDp==^u(l9z)$Sx8~^XJXgKX#VeB;uy2Caw
zoFAbE=`DK%=^W*dP5%1XQ7<ZDe7#-2qCx?kc&!6&3q-{2<h1{jy*gUScMhogOof_j
zm%h1&E1<%QaS0C<HIM{1Z_ie;2KZbS^;{8BLTVN&aXNJxXgTy0S4^rVcu4uXDI_Z+
z{l9VCBpDhS-;?yVqe&ZzQxsXl8C1~tT?Jz^O&ap^5M`$q)`Pbq-z!e<S4GDcPs*KG
z(m?J<lbH8-8^E@U=T*z&YRKYxmw)C-4WyfHt~b_>!T-L>o+ELQ(S%D_W1gKlYS55o
zzQ|?-3N9%z_D9L+aPgVPa=WO=D0Regl;0Ry$9(@~ULd34v##V=8#3}*-Jiy{Wel9k
z{S`8Y$;j=oV9L3E68b|bbRVuXf#~|72tFn<sxftB{Z^!a_!Ks$1WorrCa3r11z9yD
zAv#cQc%Fa)D2Xj=&-Ou^b)Nj6F%`rqXFAv^E`_A&ryn?@ebD>ns&W4X61w+U_94bE
zgbHjLxZH~O0lsaPXPBdetoxM}ixRm|_b{`(ci=t{FFS>IRV$!@JzgG<1{shMol&u+
z;y&1AZF4lMoQO`D2i86PF^luYt6U@Q^!X#~ugzQr0X1&0W+zR3!1BKCVlC1!0r86)
zLbsx1kaek9+o8faj85m8OjW)yeDC=4nkPsK9V_0NJn(fBqiD9>Y?3erLYFb6lUW@7
zuWMT2P9Ou|6Jcisqm3Zf$&*9eSQydmyHVNO%LI{GM61kgfMblT;R+@EC~TLvD+`GQ
z9)}?-uNwd<ZA7EYi#$j)yW~aZYgX93_Qw0{5C)cI>1ui9d(jf7Hp{IjHn167OY8Y%
z2s{k*?=g86#5jd@k1epl&5Q2>Q|Ar9*q(MzS%?uWNh6tj26pINd7E&J!vO9O?x($F
z+s3U`=$~1CV*_i>O!0T>`j8pJTm7hQ8Na-FwT2^-4Nk|nCsv-<1Eq25TG!w-?rfa2
zX{E{rQKzHLpZ})|aJmT(&mF>DSJfZad|?Ha8lCVLzjPqKP)NPc=_CGt;pO=(A6EG5
zww=mM)`2AH%UY#VHQ3vkBiw}=tdOew-GdmS4P`l!wgn!2SlyKfW*-(-pkq!by0XLl
zrL%+MfwiMpkv#3=<T?x7*-cM(!AJ}I)K|R90;e&`lI(*@PF9Gs+Ip4qQWF$%ncY_#
z=CO$R%U9CPSb?=9PH0?E6G#kFjn|l#v3OjGt0a>Zs&0M#JQhKNrU|Q!Q1&&9m1<cR
zt;_~Wk~Jl_cGF<{sSUsV=sHF(|5rBnI~!Ero~Q^4(SUZvp9?Z+TiChd!Fi~N9jyLD
z1Wzz)K;J~>cyKx$Q2JWmxs`K3z`wyy#gEm&IYGR>WQHExTmLFljPHdcADQ_vX?1`i
zckY||3^4i8QTi5v3yzYS_)<!#FmUn1Nr++u7uC$&pC`G%aD>ru@hBDGYsWkD(cSR<
zNqA&x6F0mG937IJqd?AG4~MXWd*FG5Q2B5j4;=Nn5oMo90g=*_)*8eNjZb8Xp7!!W
z>-gI$hJ6&s4G7_UdVm$)`AKN^?cs-ggVTSnu8?70;U1;1aW)9`kw+cJ1>j{~U5nsb
zGPpU0exJ_ZfI`CzwW2CPn5h*^iMURN;8@2^VSi2-tI$Y%WhxARs&X4WFfvrWVkt?f
z<bq=_qXU1<hyb7Zc-ehkGGHAxr!_xu1A}gbz^O_x;EZOw=>AI${55MSCnkAdcJ!h5
z&nyWzNlpq}FHwUCyX<Cr89tyFQ%zX3lLC%Q6c?uFYEThf?w{$-58Vr8bX8u`u;70t
zSUFn_R6ni0vgj0mJy?m1Z;A|X*#~c)Xi|gv6w7wZQV7U7u|Kc&$U<se!-X@<WOyt4
z#8vf=Fg(pr-##TJ2Lg>(qpuo}A*q&{?3f@5tq-{sPuwIzMwhnc`+H>IO*k!9a8?{r
zwl+>BcgutPS;s)_Q8I``Y@IxYNdldp-jM(UMX(K$%ldYP0yT|&^yibM;N}M*E#)jF
z@DJoU6+A<MH*2e5R?nqDs6OaJG%E?H{01yz&!})F<bMZh-^c*p@y$wICl&CSzN6@H
zQ5~FUf8JQv$%0I%)7>-Ks-S+IE3o>A1~hq(JZJ4Az%nke*xsxLvRCLWIjm_=E1@eS
zu^<PUpLq$S^JECob@#RN)dV7O`QP5%@~~;pJHFIF2ElM|m+NI(5am#@k;bk7oeojA
z-Z1a<9VA#^%&r4;h1b;<85AM#*PDPS*_}EACHIGyE|k_vI_3XXgzwtv@4|T~pr>Z>
zeb1;Ks63MG)y`1@!`(@5hTF(Mmv^eF+s**U4a0Wa=E@)@u&+Mbo($p9%2h>;h7f<0
z?xj+-GK`)Qd7<T_27a9>vafgm4n^z<JF%Mt@&g6uRy$OH$=JY0w+MjueaLK@FbNU_
zXZzUtcg{_;9MLf{0?e&WwQ^M%YUhS6ucRx&?Y>Uer{zXa^ZJ*VM7lD(*O2Cj*OZ6H
zb~zrl0><FuS6xaIR0glSTV@>j1lV=R!Qs7)F*FEE4edLn1lMS_<L%-y;M#Dd?R20q
z6#K3dG`ti+D%En;UtJRZ+hTAMjW7m^+xP>$3kq=e7!|j57J*b3&u4#c8-t+Q)f``K
zd64=cBO)=&4{dBFkZ5NN)1L(*gBRuCZS{k};oscwU^yVdj$jPxWjwdm(g;8|T2S2i
zoE-xHzTnLp*x~Q!mqEq-vLIpM%M<6x1p152a#N8;aKrwHd*dHzc;#{KqL?l{3?FLG
z#;8VcEr<5vU9=Q1Iume*?`s%SmRq-T+s@o-eNWN_NI+NO2yidXW6d6+v?4cv&#rqD
z4cA1$^xpou3(Aw2(=(-LMkav5)%FFKcwsoQ`tsYb<S&eM|5xcW0}Pa$Is4YF1wqHp
zF@nGOJ7&b*wrJ~N2zM2VyvBeZ9+-ANv)R{yU83@Ne9Sa}h0Ft#rW3p%?&-eQdaDKV
ztI8?)H=qwMznw22#Bzg8|2?k<pFU%y1|tI*V*2pdY<^LCg%i3tbgqzwny__#lW9eJ
zJ<v>3PF)h_06&76&J{{4rs??QDxRea1O74Vk0V&YaA`{Hbz=wCbhp37b3q5Ju~r*y
zb7r8r<&(!<da(>~oo~APb)b{3;WzI=Ch$~D^rm+9V-0I1E8EH1KxS>0pnt>&KLsDx
z$o?I|1ew^Y(pR*Afr;v)#=`)sGVe~ES02G~!%IBqY_!0vY1@Ihg&r6R3IuBt$FNtY
zZm}=F*97iIZM?GY>43*qWYt%33X7&)mU1L&g0a&~PC@B5rt>k2c;Uwk=6Bg?K`xF4
zPbO#Q(++Q8m*&WXlCC+-<^E?GA`=bPv-;eGH8-(u8nZ_0%?p_9fXae}zXrq(n7e+v
zw1Fx8{JY-RxrD_NVs8X3t3!KR)-%Un>)3vNBTti=70kJ#KdJP(I(#KI(f*~ZV<F0U
zriUf}VG>?HOox`K;2)AXlNG;?J@b|N<?6D5&DpZMuliFVA&g~(^l=?i{O{`H*I%|U
zro&N(SDC1At$t4!GkF91>;6ysSRNhFE$QSB#Ze%$t)l1RmkmtC`>w*vUAsVf<fmOF
zkpc=FN&|%Fo0z<%d@HX91Bhu3=0?3I!;gvkx_I^$HnfrbHE@{`UV9YlUa=;F0`+>l
z_3$><b0l_)^C=T>gv6%(8dHNzj*d_5Ido90hPcH~F+<?1o?kvHYVh-tZh3$oJro45
zzt#j+Fn;sHZRVCLJmGjQChfWlh(-Ur35VFBG5+bRw{0pg9WMBB;RXYkh9qQ+-rWlv
z>9QQ=R287@4*7mFjS>EqKPa=i&IL;u7XLe*LV`}yY8&^--7wTw=C+NvL87WIC7G85
zuQXcyMr`(gjI(Ngfg&%==p_eoCn$sA=kIYclgwbLbuF>IfDeR6n3B5Wlwm$vk2n7X
zD_nn;720JZ04-F1FQ`)j3(Z=+1L5qTfEj*MAqatemVn}<rxH}L39O7g*$Z65pK|u`
zi-1<%C|`xT5-dKq_v?1!g7RIj_ncQ1gY(pb`-Yj7VDNTT+ISW>kg#UyXV)Yk`KXZJ
z)}kWp#DSpW8$2L3ez@a^hZK~qCLQ8hR|LA1>j}kI`QSdCSCd7xGz_r>KX@pi1h<A`
zE1zuh!?e>Q>WqvmxN5YGTys)_pSp}Sjs=2nN;XVwB!vLMGarS?Uz9-GvB8{rR~RmH
zR&`3M5@F1Y#j@T>8LD4%Kd!kU3IY0N*RtE>A?Ndr+)PCh*hi^{8byf1-}i$-r$QB>
zwdU*3Y&jLko^IVMQ6mZ8ou)s&-lq(amwZV5XH?-YH&dT8yEL#dZ*tqQsDQaB{ZGqY
zH8}sjVxj$}GSJS*T`tw63ZKMMoo!mkKuh{~J0wyTyf@<O8+P(XYu(%9!<`g(%fR|t
zXortIvXM?x>^pmTOBq}l)giA_J9m;ygmXO)dwuIEAXfXO>gs6?h|?4PSQ9D_tkXXE
z6X$l`1M@ZiZ$D@N6@`wJP6b%L@n_fGZYsQ3{pAuFs09|qhnb%9?QlJss(4>i9cFE%
z3)YQvVB+WI^P7gs01qd6q7>AD^?B2Q2@yT$-F4LRlsO45W#d=hEm6UY$zQ~ATOZVi
z4nNCNP=N>aE;alCRN(D?qP9I`2q$O%d9Ze?K&<YR{WMO2;?w@8zSshI9-_<QFjs{S
zLv+KjRb=o;e_BP}`TswyTaf0xRpEJ^?`PV&Ds=2MOSwO91Q&0c*?@y8Xu1!6G~y>g
zz~IUT#2G{PQ4?viU8->6+`1*>hyoljnxI|eF@YfwUJKjPJ98JGveJAY2jzSY<?^mO
z9(1C#8+no71J50=$8s{TYN~x?Imra3PRsXRI-(4$Oowh3<%vVGz`IS4EE8b;70-EW
zRS}LS#HYS>6$B24FDrD9OrSUT<Y0%70^~fBb&4+Fh65ZzNtUNg0JC`LJ-XxZoeVO?
z$H^?<n$U8vg3AQ{P&@}+NpcV=dax(#EFCZo&&R!fyW?4d&wUcF%YuEXjCSha9Jbl~
zU)OOnV+hfEs2Ncu4Y|V>=Aj?Dv9JqSmoz(!;QTqA=d7GkpsM9fj*)7`t8TqW6}K~j
zlsP+t`T;R;H8H)XEb<4}3^qE&^b=rQkgmF;K^O!R|Itk=&fzT0v<a2-0HK`E2g&^c
zKyWT#lviHD#f3boPjqAOsz<BVj>reCgJ&;&`L=?OK_fl)gdtpv7t$?z!438uK`wPZ
zYk1Ai9<xqHL$KDq!}zOkFKDi31X!5-!(Zrk=bFeHK;IE_=a(U@khK38%RRS$_=LA-
zc$}p^d_5RGs9((lLPt6NWl8?S^Gh7Y3xo9_05e;Qwq*eQ_<n1zpf$XboV{REr3-GP
zs=~WR>A<sVX@U9GD*imcH%?_s2R8k7pL(Iaj!8dc&?~7}!AYi9+Z%WIsL<K_99`b=
zqXXxNU*0X_MRB#Xnpka6N%d!$Q=Z2TK6>;!5G~=Sob4h@{%Apt^=Z;Z*A#XpfOsan
zeG#{=au77#@v?J|J{VeRj$&Vyjnn$q7I2<piYt<7n(+OC!H<%&gV=g~_Zvg~1)MKW
z`^GARCbUzfGo-I{W5Vn+x8J19<F`*1rbW5Y!0sVIYd!fh7Iav>W=Lut9}et~%KWAQ
zB&n5vT|LFvZw`^H$d7Y)i`ME@j)NL7@#l?3G*24-cjSvx$>TZPoi{A!2~vlGcUf*S
z>j-DL{AYaP?i^mHm%SvZs}8QYN(ESXGoBxZ-@N%`4zJi&%?>J~!eny%h}^pld?}K=
zc(-E?*I2gR^-P-z*AZczucQ}$<XHAvUt=Eckm%XDGX?0X7CUAf`tekO!KR7Id0hF)
zq1-3?Dc~}mH~(pJ5U&f8Y-ey;z@^?a+8)};#SzylZ`1St!j*4%Pz?1K@u#jdR{L{g
zAird(>!OX|{6#Omr)V$XXO3_4-5F7X{R-MnJ=TBl&5G2-z_ZKvp^ZKF8o1Pelh`7}
z6Eu#O9(d56{$>TA9UFb&W2_26wXw`96_a?r=s7E@>KcAF^~&9_TPiSMTJ+#P%QRl}
zS;4cp?;rl3(zPe!<s_I<L*``tS$s2Tb?QO&2Hwrx7xQdW8IEWW9o_HE;p0Lb6RbU3
zxU$ZaMb=J^w{Fm?l>9S~-!b}jUpJl()s?$*3nVFlmB?L-1&2la{aF{f+5vjRA*7_n
zG_MGCK?kPa|69T(^hf=hEErG<Ce@U3R1wlE<(~SNtl$jfnd`^<7*RR93x&5-0bGL_
zvC9c-xZ$ectHJ~(l=|^NT)vC~Y+E0@#+1H}Pl)~(^5ix%dOE^<rX@ih${$X>6z$){
zOU(rah2vQfb8H}Slt&(P*Iy-EBGRG%w)9kThuD#iK|^3vA`$duancz-depBbEG*-~
zi4rR`p8ClVf&NESl=JK^w9aeG`%{1$MbcX6W2@wVm>j`{hchC#H@=A+&v=l7(N@aX
zIXSTTCz3p1#)Pyu`ScP^`OpdGQu-DyIba#xx_O(zjF#{FHYW=Upq9QktDY|esE%SZ
zjyu4L7=5;PTL}rFpC_XK%snH({t=938^?}{yepsYHWfkdPF(bMxlMrbdbv6s0ZvrU
z{`SvcrWguJ9igsz62QMBB;(IG7pj(HxHP6Ki3a60i9<mIXtC-I9(CbCM@}n84KPR}
zstHH(YAykSB9@vxS^3br%X%0&Oa^7W5b}JtM1YKKeV_JLek7|O$2})cK!tHe!)Kl4
z;N<2yr$n_NdilV)>feYQlIu%Q>fc2K$@`+&;+?{%SMon)O(c(=_=P0>Ya>FjT`Zj_
zpBP%e?XwRQD<Y4U-0ucI<biko@$T#Z31l6)zg4SR8QD0ErF9Y&;lb&H0Xg@jP+*^)
z`dp6+y7%&c=;<mY5Dg4*lpm8u6QM_c_OGg;Kh2rtce6>5NB!)@W-E(6vDp?Bvr<rR
zva+hrUsagtZ=3M`MnHp1lN3u%DjJZq{KnNphEw+%$_*|M(T9Tr?-}UT5!-ayd8Xr3
z$Y~<`WiHDjo^#ji+d9=zW>1kg52pr*8}3duy{CwRmaL`^2WX&L#Z;2`CJmaoixO5?
zl~JDu`Lg<~2I|Vs%xV<WhV)1c;)pK^Ssgw6@Ps%GRreRRv{~uGyRc-3fd&;6$)y-R
zwx)r;bg9PGywnH2(Y$Lvf2*Q6`tnkN+ZrgpYOYCQ7Y3v$t9yM7YG~w2*HUD<I=WM%
z|5hXuU_Ga+`5c*yLMKO;+AdR(sxa??wh|-wKL7v#|Njh^cRbbKAII&zXZF6AdtLXs
z_WZmr@->oZ8=+-nkCdcRDl;OXP^gfMGK%#1km6^DC`DGtNJzNW&%ft!{y67-Ugz<A
zzNB)?5X(apjMeR2>c$8K3kjtZQVY!>XuYbd#Fm0##>g)w1r03srK*2+usQ6F%bt=H
zrC=2g_>vT*2^j0YxZEjT3&1xf(i2XSG0Uz<1EEnBOt$^&KHPZ=__bvrCTppICEvc3
zu#lsG1#6gBtruIsmOXhpbXXnJ;2t0(FiBw}N`y}iWfl<o-j<13pNN&))cI;06UMH!
zrE50awtzsP$lM)wHEh_Kd;a@R4s5%#u0Fxk0yKv+77;Hzc5x{%Q@(i}Wxd&!T>8Zv
zLhG+-kz7<TmX={&2c~{>r9&-s{e(Hl(+LtQ)=HRh>Y>Sg?MbBXO*7BMFT3~68#CE4
zR>0!-YhBv0SwsA+x66fX&0y_TjkfJ&S?pNRa(lBLBgDT`%JHeA!72TMaGMfIOyb^b
zS1_Fgp5I{qG@(v|u?Ix%AVG1g15Zmj`Gg(3B6x;AKL!ZZAE9Kt62^|D)^&3Ea{_vy
zNxVV|05wB3uBQuNn=Tg;gk!is>%V_Ymvs?%SMk|?@H{uh@~5U$LzEkek9xnqM>7Ss
z+#bBLIUDBFM5TN*;|6+C>{#wG6Yym#oH(4wh=sWtcWA3~!=Urlb^Ik`c=|d!;!HLj
zy_y`7W;eqHUD00iR|<__Uy4Zu>-G|Qr6%VBM+z5E+o{46KMWzs=)QOAp=s1tbnKNr
zg$pJm`;`;q4Pj&bKnk<*7gUMx?}Kq4C)5bM{Zi{~0Mm(P{*mJO=n5N?U+zs#V9u`Z
zZK~CWmYn|0j~btlah<b2p6urY^`>op5n+Ac`X$#@>@kX1{hqzns>ul=VUsUagY|&h
zjz=9m@C!LH*GN~^=7i6EUtKc>bfKg`PJG+!4^nXd`hkXHobZd@S;=Fr3%;TUCasc}
z5ww55(DY+YcsHn;L95gO{YO@Z>vR4guNEZYj|+0a!l3j?W}*)8hN$+vzqF3nOl^%^
zF64rZFt%f)XWFpO>(JSHtxY6j+ov<$iyNK`M)?$~Y6I^U(`m7uZ6xg3bMI%4JTMk4
z@8DCW1&JeF4yEM`5E%bmo9@XA;t8>AVMbcOBV+U7`3fW4KR+1$p@<J^ip~`Dw^KpJ
zx6miqm>I6-7Yx+!2!NfMYj)8oDtOmjyqgot0<2YUdM&>Tz^gVcM^OeU^z?Q&e;r|k
z%i>nOAx(mCCDM0$f1W11P|s}<v}A{vGgr=;d=!G}H_cmFHk#ns^6Tu}TMn3=;|s4F
z69#W4w^RGqDbSj6mjAaE7aTgVcUDSD6khvkO?H=3;2Pes{OUY6tjf=XWe1AE>ndiM
z+;bFwZhYn13tkZUS($KaLL7oSTv+WW6bLB0S#v*;A7&-p!sRYVKmh)2hTsMnY}N#=
zJ~j)$#tXi;nd(wdcgyvzQ6U*}qAi6kd=rFCnH$>d%rYQ;DMfa{n+($VI1@K!VW>lb
zmW?-MVQegA)Y^;;tbS3Ce}V{fT=HUZPLPMyk(P5+T4d<x4vRf@PZXXm*o)|uD8LQD
z9-mntLrF}e>JXzikjn!UoQ4#^C~^4JsxKK(E+K!9TYEsE3c=B3mErW5`+{yA88-9G
z%WvZ(A-H?uPhEft)aIX5EflAKHBqi6^@kJ$C|C&H>A-<gun#%yECozA_V$^-l!41x
zLFAh{s=(^&sC%ZJ0$u(r%dfNLAdh(8@kPEGM62j?D%om6KU-d;O1C_;6aF!d3K5|$
zzH|27geL6i=C3XLrU1Rox7~{))dAkbB1>6R$mn`rowJ|_R~;l=a9>HVgEHp|2WY{L
zsibZY=kB>5p$$8-WC)Pl?=$A14f0g6Yrj=gz^x&<yHSAxUUy$B*o5f7SuPn@2^tQ(
z`0faVW>cV{DrrhSPZx+*$~Njp@SwXAded=}0zTd4OjEOZpw&Okl<%erIV^X0MD;a6
zuGMY*&OQV9^hZ(U@KH5*_4Nt#@8(H4AcW@r&JdiR?c;l*O91Bhhpg#jO(^qTubee7
zhSb|H)SLbhAVV~y<HHyQ28X;?kZKcfz|9(Rrx4+hUdYGJlN7iq$K6L$L*SEr@?no1
zB81b2F0Q+ifw0G`Ue*F2+7pOH#_Eu}rq&RULjtD%eaN$)0I=2czN5NV9fZc_$!oDh
z;3Bifx(CwWuR!qGAu)B3sBK8)(N+Vk(a(~{CTL(F`~3H-3L;dvtvrY*$3eC&fydLt
z3{s9BU%Mwxgv<!mz+Mq$5Fb1)BN1T+fgWdM4(ua9HsLYntMdwAbV{w>Ez1mC230K%
z99Dy6Mp7)&Cj(dhEc%_#HG_Z<x{0NMDs)@4{ujz10kOZ-R-eV2fmzIvUoUrXP<!Kk
zZbO0y5Xi173@6P%(DKo~ka88+HeGIg7B2uC$NBtLRm>plPziSMpfXJT^)4s#b3tZI
zn1k{+8iZF%kt%odutw*`3fNh|NM>=7euD<@y9}ev5)^>#6Q!u*-xk8tHa?w$qd}Er
z=dX4Rc}O@D8c_Ut1z|lm^`*HHKzS_8|Ilk0V0b?qbK>}KB)$BMeYG<{nX9|E4@C+F
z1!ELT{+mFMJvv@KlL+W{urj@9+XGa-$jtJJuSgmBtnGiI2#8NF6Eu^=07<2FyeaBL
zs-N<Rv0IwLqtk2)*CRy0ZM}C#|8fKJAmdMuaD)j+WjxQBND+b=?Gw+h30EPB3_O#r
zFO30a^}DY034nFPcrTxM1#(;EgV@CdBj{i%_qM;z2bK>K90H@NkOqUxwpE%&uyO5$
z9e+7DR9@zr@ngl1u6~nT>P16{yx@c66FI@j*Hz;D+h(M**p_?og8^8azjvo~kqub>
zm#-c7tQ+yKRv>*BHvla2sov-o3y>bT%AZy0M^4?a`qb;M4-6NF@S?WN;A7je!m9io
zk@1O`uV~eS|FuTEOYUQYYi(R%+2*4Nt7FWQ{X{(&qqEjOxW@ou;{7=1tO-PHE#OCV
zvM%)9AJX;`-a(vB>fbTpn@0Y+`t+#Lbs*t<8YdjzLQcAn8qlm+#I60zgo2k2xCg~%
z{QbLuFtuMgg_tfNkBkyU?FO|$O6uF=&>wVU{+q$=cae*T4a*=t<$yNOa07jTLUcq~
z{}7Vtxs2#9<mV5xYJr=&i?Q47b)<Lys>!g&3i3{Dsf*WI3oNt-$|8){5d|^3{pb8w
z5g&c}3*|N{Jd?2tMG5Q3Ub9WpSIO&0Qk^W5paT^eRK74x+OH$7G@<{B+c%JgY3HD}
zK}~q%=v3=cw2rt({HOC8w~chaXMcUbOB0mF3-{1;=ty37dE<Zs1AOGF*?PRo7n!Ul
z%g2`J$TY8}#pwb@;4f*g{*Xig!@qyHc}6x6$NI(jE?#CZSmu-dh^Ii3!4drv+ndNa
z%<rvK3JWCu*WltCONLYI3l1}O+X(+&YG0%#8^jhmespQmfQlza{tk8RAev^b=_i)h
zA%ly#J6BW#d^v<UHyRn>x<mKk>49C}AT6lGdyzn<<Ee`28%9tm<cjm3;D+N}?riZ*
z>d>U#7NFS91c5gzjMHWKAWM`>21ihbxgO1HN4A(j^<!aOrnvy{rZw_1Wf9@ah)PcT
zepV<ARX#d*R}g#>W<E@d5P@_4TjiTZHn18~O2qF7LB|BXr1Jp*Lcev7q&jl|-MRWu
zbDRj&cC0sjB@=-6nv<Y_G#4B-{CxVDz8Fa7WDa}xsDaOB*%4WG9uTo$BKdRefxcV&
zI~8Ko;D?f-?t~m4BqWF*Ok<XW`S)eDi`Ht8Zs#vMs4W0ghNC`)IB5{8i$0>Lqy{Ob
zMZXwA1)<A~=U_&tEUcWQwYdwcfy+0HPqj-3ZXVfNWpP0s0$VBHTV>RMCgY{UYb658
zFLU%uI~1U)?ZIXGUN!K)z+>bzA_`4hstc`#N^nbeq?|ul4GOP{=_O~1!*zpZf&;1y
zUJE)?)eHo<c<iqET&M)xwC8$c<b;D0+MmMIvI%gkqIJk3L<(e8sKjK>UC!v3d{jP1
z1aaKG_rqy2F#k0Yk!e+fGf`{5djr+szY6g%{jYMM`)WCse4hv}&YgF8T1f(0i2~<Y
zIR$vocjJ_~4++#4>s)zF$iPvXr*zsw5%}{TJ$h|Oh97?q@$%lLK-`zNW*+5Az}L&0
z`oAa&NE~*Nxs<614eJjhwK!Fv;Rr4BxuYh`G|n()^-)1==JAJgPaNdYynML?sbHxa
zJ-T6_4X*a)cKjdlAiw9p+wbL6kk`|(h;Gq=I~oEFgS+z!!Y^~XscJ#PTH5ePq#mg9
zU20uBOMshcHcOBFw4nP7@vMe}0W9~VpE#I7gs=&7Lx*rJu>Sib^MSDucpvWi%Uh@p
z+F6Nq#U@%%>rcJzt7QV*#uGi;@gy*?PY#K#qrzz}Im!Ka1P)y1z}XvWz>Y+W;n@XE
z==*2G%X0&O?~|UTZm|YLSv*nX{Z4`3rq8fTCuzX!5%;gIPXoqf6H{9S$*`>X7nX2l
zpg8JD^Q_W<Ym6OHz^o29hieS?Tg{+Ta^B*djRw$IBm;7aRUy1~W!lHe9Qw*^&Rk6=
zLHYgyk2N(F7_-uysLwWsZj%k~JK5?G^3x%Oy+8qin})^?x0-{>?fDaNo<umN>Ju;%
zBn@XZGz87N&4Kap&}+iB8r(ke(=C==4795qjRRhpgGl9-YnOdh;pIukId4q?@R52I
zz<kjhUVpP7iN3>u*rLzXk3wu<Y0V=29%l}w6}4yWwv|EC%w{pkkB;z&yq*ki+~s?5
zM#@V)C18H0+O=ggg>3USmtJu&gN&Ft^j?Spz)g<jZ}tz+fOn}O*T2x9<A?k42O)AG
zEm*VQIW~?8_PzUj$e9MR#Jl6B3eqt9l`!CJu!y#Ni1(fO4#3)fV<TaG4;&R*ZIrqH
z4}Dm0ODV_=;HwjVzcRBJ<i@So2RhTyhS|&IJuL`0*s3Wgn+XHb%qf@Jvx#<f9C@Dn
z)f8re<Icst7J$gj&pkJ2+h{fW1s&>=3209JeoE=!0saAsUB|>Wy2*{3qY9hAZ`ZEr
zz;q7i54@zK|7ROz<C3r}Fg6BfZQtH|EiACQ8d^)dvyI9>LR=5}8^QkyXzkOkj6i5T
zwB+=23;h=_tnl-hAqaPyU-iq~M5v_r%qRR?sB|5R_sp~b9G9iYo+GUyg&(SjY$}^*
z-Cgzgd5Qt-+Yyy2I<kaRWbn^M=xw0l>dmZ|uINMb<vX`##ODzF{%aM(hv=wdW??F>
zPY;|tBT9NACy=zdknQKU*3rn)^2S6BJ!qUsF{qCEhA=YL*cJ|~p?ts7$B!lHg4pt-
zCnUixBxv>bXt>Q9Dm-;*$#7W*_Aonnb|$|<`kL-PlA2gWYx|mh{c+KO;N1i_g}+3P
zd5Cv7JzGWBM1HqJn>Kg{E>yc8Y(;;eQ-)IMtEhq*K4;BD8;+Yk$v-gFhhFgBR4T4m
zMdy+<PRv(ofnVu+z0!?usNqA6`BnNVDo+birIWQljUoA(p~Wald8;$o61;|rTgHX%
zlv3fZLvtDR$OM|O{%Pd9#5(Fy^YH4JCKYOuzO8oArqJrPj~4uk>!`R$+eE@^O}L-b
zlS>z#L1$H!1cTP;sQ<y>{c~oTaQD&$w+CP5P@|%^94E9l(eYJ#kEL!3{O_%O(fh0g
zl<lzZo}~OO^j_=Y+q7L@zSJ9?;zM0Tuf2cyRmpk><uF>d$yy-8XC!I);G-q<#m->Z
z_f!U~qxWpCmI4{pZU+|)Nc}~_MJ%1QA2VWX8HV{A$2FinS?zIB(F&S#%bCTmlL@03
zUJYT+BEfYc;}^#Lt0+@g>wLZp3+6?a%<~#mhv%0UTx)sP(eOOZN{bX$tYxZc&rymx
zcydMDIWSL0xp-QddDPjl)yDf?+_#9ZM=;@5#NsAOpXzwSx5$Cv>cY}L|0KYbh0-Po
zxgAuWVR5-~oC~|~b3R<!jsQ(OUhDbw3|Rm9D;e+Ed9hXP=o*iDH5jT!T`O3bFeUG8
z+2bDk7%AN&%TiAb2%}Zn@jlF0<Fa((dAa~LNeU@QsZ)i0zuRtUEwEtqx*Hl#PYGeh
z-Z2I`wyMxm{`tqZbT*8q{YhQRZ(;0V^{CU)DLnLl^SL*5ngg5icI8gU5yhm3U2~jL
z@F1w$aAwYh3+p&m@~JXR9CK8B9X4%)2R44c%JOI)jH6xrm_WD$<~Hu$y(x-^Mo-U|
zxIsP)$9T!e{fQJ7J5s{E{1*o`%@eOGUI}1JMOL1s%(7V8%uU9$861QVZxOA;g|PAX
z+IyF*<uT%i$WCQC4shuf{Ii+DSe&PM81cCRcD2DNJq(Wrt+_&hToX}Dr0>;UZM+i3
zZn7h>a2^j~O+$eeEaKStl>Y{j>y<Hg_kaW0^LUuZ=_OxU*n`FA7L7;x;jsH7a_-tG
zsvvM^t2v563X2z>TGZB2#k}l1|KssegLbLnomD*<EJ~=*pjeQAdEOw=_%0HF#~>&E
z{XIEMYM~{KxJ|^iWR9mLwh=*3_VdXjJPKG7@4>HZe@R$-r?MW4CkZgM+irYrikNAv
zwTIda8Iubyo+@_S?e*8S`hH+a*Z?6c^UMqdE6Y+n9^6WSGY;&rcQsTn$Je)*9`tBp
zv!hpJj3svc^N?3mMLrJ8P*!gJQ9#86uV~n|rE7uVxs}yZlB$?y%B2;~qgogXJ~zq5
zOa~U#Zg?GuSHsHdA20qJ(!w4;VwkJmqX%L5@ay&S1g!TLcMwrS8xt-+N6!{EfK08G
zkSINM%zeY}cAc>{c7INH*-y;~e)l@H$GDQP&(`|)gBY|iZJpFORyz}@N-{TeJfwjI
zA9f*%hiGB%4s_j+_eX&9<PdMU02x!NVhJd{OU0VQY9^)Y0W>Qv&)&aH#+X-Q7M)LO
zVwcDQ*VapEyWT6&AYMtv44qB<u6`zCJyf1|{@2amLg<l3<s>q8jxKXSHAEddKfe94
zjA{-Q#&Zr@qGXKeIIfblK^2n<94#l+m_x{a_E8sXH87VE=jiT9WvuCqMV%s_1(3-4
zF3q|mtn{TLTgvYH%qUGb*63M4cRD!mj}Woxrjv}3FC;P7iI*mrt_5t6`#Mq_37D`^
zW>@e>VXQfDMOIC~0uqVVVvAX-Sluu#YOgFe*7Y&7k+REi{WLj6<BvG(XzupXQ8Nb2
zeZ0Ru_nbL&-jin%8&$?SWdv!}lsWX^Q=R*g8)gs{I9AQGs))&#4}~X(Rv?n}$v=5f
zW}r4y_zW+kfSuHH9TT`ZgYX%h8QZr(gPxu1Ye&OmF^)fXq~4VOLkhxm`W3@ypnM{g
zPv*BI#%80kN9n^B^593@8TADK0X5+o{tR&}B1p>8%AXM&oUd8OpWEf~LvHl)MG>rx
zGdJz78Z-QKHx#!VK;RE|*U_DOg4mbLXRZCFEI^Mf6uCKK3i7L^Qs0JnF?E@rcV70g
zK%v>{a@Mj5xUEFgm#}kU{X$yuX&kH&Z@O(%Az%U=Dm+`APgt-^!rw(Z)>y!B0CMi?
z8H3dKS>ueC3|P#;q<g<>S%A}VNVwC}2nqsOJQwZgs7~wAPFoKa;D7tEs_&5@q!tjc
z^_6ARDq>D3p3V$}zghvjV+OF@^0>1<V-8*KoO!5wml*_3RuzsC3_!9<zf9%o7+UaN
z_k@KeGl)r;cQi%l!_j<M|LZ$Fs8g0gT=Fmzn2280(f_pTpL1PC$Gx7Rh*hq>buJUg
zMKF}Mlk{NtW78?t`Hx7heH_j<oC&PiUq>nK_SPc@{>Q-W`2~6XOFuHun+XVvhcl*E
zb>J^iGI2lO7&141ce!VGKPowO?AvJ_uqqV$RCHzvk=~&EU@BmO`I$uO`+jZc4!&bh
z<}iokz1yFvy}$%><eiftcG^(9+5Xxl^bgX`7M*p*i5bKnI}Wt8XhA^!gCMWmCB*DU
z>~_Q?Gvt2DvnjID0%i4Jq3l<Gku>A9=HqEBFpXz^%G5yxtMZdc58wPl&f%k8&`-0%
zGOj4U^)MCoibS5c_+||;{&=zb;&C=;Oa4{4J*Ej2iu^-$wRD8;*si7&!VY$W+iC@&
znvgVd^XkQ>O@udllNR}k142!IXSHx?g6yfmsB=TxNCG+NzU^*5GnM(C68(e%p~le&
z(@h3&SiicRUB(UTr$a6*Sy15e(4E_6&l#cqWVAwS056<4xR`#chYV8ehR1G=GC`1t
zk5aH3KWGTbQ(aZaaJZ~EZji_V!ByUm8ZZGk{ADL+DOv;GS{JlgCbB{$s-K)WCkW9A
zjvrTMNpM#duQtrV4lOk$YFpaEAh7uKiJ=DxdY!foqmMZtKdArdhX*2n7H%mtjH^RF
zzS>E`nG4L*^8&^c#b6{fr?f6q9R~1uCrJ7{kZA83YTqsnMFZh&>7wc&{OpbReq%mp
zj`#S=o+SZ`c`1&JEkwYr)Z+bh1mM)quz$;mQefd~ba5q-2<$iVMsrUI0<nKN{8Nz(
zv=RjE8oi0|I}m&8S1bf_?Wm#1f*j~L`Phn{Aj1EwUG$^4MSxPOi*q9@!1?;4;mrO-
zxSepP#QnA?B#hlINsm+nUeR(U!E7SvWX}GIR1^n036JUdVI|1;k*cG+K!m4xznZoN
z_rRMVIpw&+D&VDXy!MBeI+#AqD5-iW38jVOVr|1X@DEn*nc^eC$mz}S%_3<)ID%Ql
zE~rA-3JVf5NdnLE_f0XFEO6&|*JQ~Mpx5*CU*d`e9Gtc8y&oYDcX|KAL|Tb3Zv5{G
zNuB~<Qv|tx<|#mDa`v;t^CZx-x$RRlNde;kF$doPMYs`DK)_3qfi`&h!_jU{2#l(!
zE)-RU#CN_-n};YcG|VozG)x7y*Oa|vClyer{1knIM-$|n(-Likwc$!baYouB9FRr0
zB4{O=&=tq9zT~R|^cAAN%Qzk+bXyPct5e}&?nAfEU%F5dW=dO^QiB%OMum{;RG4<a
zdAyC$hbL3P8DnMysQlbzk1wXe#8-K9TSG(OxE#ROVowBPYQFZT3@U7gL@i`)8^NAI
zdFG!6>QM2Nq|jqc1>;cfyzpidC=H`bhOVi@vK9T7RIMf?UqqsNZXr;b#pY>todl8-
z$Au?;QK0G7Y5n>P0KB%M+umLhyc_BHt5Hh^R?&T@#CCfVrXF|0WSj(*alO2lE(y*N
zdyb!BF@yZR<r?jB63A|G)Cal|Aia@M!}5+948JUR)@MKhoh1ctaeF)v1bghZSIt0U
z+(qbGv^ta|)w;1ODFbs+u33w*ImASZSZUrN!Y!w+rE_cYpfFHUJ>qH(U%rbT<?|%K
z<1(ValU^xsoIi5m@a}rA8AJDkkQ#XRWC`Ao6a(Ic(fWK-bC{48`WE#N4`!WPEgF*o
zaADBrpCOw$cqaZ1+~mc936a05akp>%x-ww6@!AaHMGv|f2Ps4QjLD4BGX^j(c#+ZQ
zYzDaEyB#OH6ru2urt@X`GIFR4vl3mVf#(aMu<H~BD2N_nTE~we&xc7WKci`|oN4`b
zSXT~4{JdVtuw)^{2Uq>h^U=W8pe@*fC=FS1#iQTkzoI|seWEVAbM|A_ut~9$fE#li
zmHVP6QN2gTZZ{MGsF91l<w;_|mN+bYHfbK6-Y{*=c0r)QVpHS{y9jh;9{uehwTMpd
ziCNuu(G)~iKEytFDF_Tj(!Y2vE}<Q&2mk3jG=cOZzgaFS@IxlaOQ23<8Fj&=Wfwmf
z1M@uwJe|f3S9{*nVN%QJYO_XD^*<xfU!aKCzh?*UD!mJ5E0@s7Qwq<cG>m{Fp65yR
zBNjLl#T;^KdlALx)|=vfhEV2Jd-G-=BUs>!tYU;0(G<<R7Q>eYaQghs8P1ArWao-j
zsSn2=)F|r%Ep1C5zK5nydhDYkXGWUkt_;qjcR&9f=-jUl?vv5jir+tkyVAb<$HQ6l
zRW*<G{U>@b+jE@l2gfp!_|@!ty3a2ZzeT%}%cuv_t0uHEfj@|8{>P^p4pS&+T*X4}
zNnPmg=CjjZo<T(4bv8&k{X{R#$!;HQ(E*F+ziah_CJ`$E_nnmZan$smaC0J62ROd)
z{9Cv=hBS8j{;>Qtib@gE(|8|igQcnOJrna`<aFb`bjGj|bh+A{ShV}ECw21fopb+!
zkn1kEnw}U&do@J)^y0Jtm8~PDTJ|C*zvWz8B7H{}#&}y&ShT?2)HP!3RR`jqC20_H
zWDwoE=w^LCnhLyUwW_<BKO!Q=f#U{!Ur<_*=`mFnD%^gMI?VR?9U}b0`^NtK0rYmv
z-94(YyZn-ExH<OoB|?xrM#x0_QUA??!b^ghaIfJOd#}P{Bz0YdAg|JoUU*;8&6!Ps
z@>21$_|vCQ&VrIZy4|1A(#QRcwL}WINDoRsFMN#t9{>RV{}h*ZG}Zqf$I0IFTGw9p
z+T45Xai5fs1`;ZgjA$VZSq-x?QwfQdA}imbB=;jqN}@!v3aO+eQRdI@ulG6c^L(H4
zKJW8BkH_<+aph=X(Ze^aJ7rm&KcWnv@Qc|Vzov?{uR_|OWc&>)V8g%>&ujW{7gSB>
zqSms=JC6C8Zt7;m{!ZH*|5^_oi?LS6&OBsQ_#O`Jo$F@J?IXC>^6DXfAJ>hxH;t_8
z^3S>22YOiTrQga=+v(!ph^|cg(`MFb{CUqm_m;&o?ZmBkLI;XW7Z1Lw7M4uiei=LW
zcdQ2UGK=?5v~lg-M=$DyXRP%C+W*GJ`&bcPqo1opwQ>1?)aKdL7py3{o(8>ffW=e)
zP9@A&3oE-{MfR-iU{w~IrR%;MVqN-V9==pfMd0A+u%yvWR@ZS;|8DsYtfNJZUu^}b
z*m3n&)~hqGS$>*vJjVNnS#;@!Rr0|UjJVXKv-`YZ^^88ZVgEV8nrn&tdZ1MkDv8JJ
z_B!^kC}Xuv3ArCx4syLl3<FK<W<N2SyQP;E<(e*^y8jc4`JpRzRjvj$3vGMuoZH9Z
zmQ6GWJNku{{kb*y437r7H=dU%;2&gdVDAi7dHj`C<Gb^wP?S0j75cqAx#c};&AZo4
z45#lb-_k?oH-D;OjE|?Z@8t(pk${Ejzm%V>FY7J|dF@uiDEHP5$&e8i_r6=RG>J)8
zt(YOF^tdYaz8(I$P5UED`pd>O<}JTjattPGWREJ|L{qYzWInO>h;P~uQSyiN@8iw*
zN555YZ8~4&t?3um!uj>>tqn7*iyIHEZHQCB0dL*x%=E7;3p4ts{{&}Q2D9=C<3cJp
z*109&wCZ<O!QE;Z``me!wd8+AJ1#3D+n=q@F7_wulelk))$S$MDQ!oJi@7qc-e0Kr
zD?G`1e!+VKzdbuqFP5kK>Xs6CoNsJPdiI-TRLLymUs^#-`F211@?8;c>noz8?)+g1
z8dh$kedZ)C3Xi51S}EfD&jgX7&KXuR4{vNL7Y{-2aJLvdrvQPO#&CP;EQ?QwA#&ZD
zkJ!`s{o{){c~nWLl)ZX5&yt<@-ktedfS8?SGCqXLgI@EQdu{F#%Tw%5&aVz(!m;*9
z)W_dsgfkRM#r)WbgAzwa7Z*ec;dj=MIz`3}_i}w(We&n--TqJ34dO)B(I^(fn2cee
zP=``sF5+g9fBCj@Ny2C)!FTPi9E=Z5b!Zy#5aU;hDq3Dj5gi`gv8Ue3VZGBL@h6p!
zFeUB$AgnD*WWAEo`PVB4$KIOwdlW(9u+xr?VS-HD8@P5}mV*rUl69)Pc|?fy?|xN&
zx}ZojY3y0@+e(H_w`07vtQhe~ErMd#r%dRL_7}eVN=DDoNaAphIN_1&-P@L~O3YWS
z571!AV|2FOXsA(=koZsIWJa($QOj!msxz#BKb6OMPxna?g?lwZ*M(>j>uPq=zxgYn
z$wQ+&fFesU<<=d%mq{gde%;~wt5g~NQiZGgZ;*-pkX@on{o2Heme-P;V=73JakVJe
zrbra~>#NwT(IYO-Uhm$vPYwMO(mYbd%EbLR`Tx2*4G1f8u!Vt(29{pO@49QMO4R4M
z>UJ}X2-&NhX7mdb)b;!49UoRBZY4fSDLYOhPI<O^EV^l<LSxHz@2eVwjf3ou+Q)Q4
z;F<&R?zA36_q7;%9HbD=nl~z=rx?WfZ=7Cv*9{Tz*4N$DRg0KOdudd*XiWG%ermP)
z84X@PU2^Z}=@2hxdDN0#nGjkg=R-JX#vmE57`I#0B~CqZZ!7mUC9<jt8o$3WMU<6Y
ztKl7e;=i4@l<%H2CCKz{C&>~E3{;W>os<lTYhz<-&W@&pp8oH-H#yd*&gsdx_}Gx>
z*VpVCJ8eQlZT=ceUIlbN;9pu;X+#|O;b3@TgE0}qmq;ovx5bx3W0FQ^jEJ8DoZ`(n
zbmGzipM&OKJ3KkzDOOWrM6fo;y#5qnL}c4ZmVcC3h1oK@(!3-i;&xZUqo#j)1jZ&c
z^`=(gg<r@JKh=m3KJ8E2ah*!cehGHz%e2RMjsLY{nTEu<HSKYC4AqE<EWy<QpX~9_
zYjcCZX#-+Ew{zNuhh(BdeO={?S$ll2@;t9|Nsq|eN{uM!6eEb2H%IDU*(2<G+qI*6
zb%>3t*Uh;PvJ(JUK&QWq{8q0|N9?g(!Q$OMAuXaS$Nj>qy<IG3dUn{x`Bjh%RMMTy
z(j>AECUudvPBC2qKV57KTm`*5T`QSF>O??uKU--aCjt{)Qd)?WaC4g<9Zy#w?6d6@
zPPqtz`|azmPe?0qx-{bQ!fHh#S5orR4tX)$@!|?L+---n8@o>Q-IOIhHvd*GHj_Z~
zahiSDV_V#jy;*w3g+xqNF<UK)CDA1^DepwF#o*6>;nu6gh-R*1eYDdgNHa*v^fSOW
z!*$%5WC5aX;#H+EpA@oEILz*G10P+yALni0B-HM`FSf9fLT{TVR}vo+42oDvy3;(%
ztMihs*7Clgm#%7^v<<dL>P#9_ez6Ybst-4jrQpc(JLbNLHQd5O_I=3gXXSI0cW{i8
zz$TXWmM_o>GB0<{$p$}Urshn0ov9|_MBY;)`ejRqr*zmQG>tGB-Y*EhI1(%_X$8Lh
zVu2hTjz8a}elcDCu8=WyC!zJ_1FL3h3)F9B@>*xiFfH_x3M9=*$R2KO`JQi%VqxPE
zCI1EHg@Ul23PTc}hx84{a+rg7{6l}rogH<)XN7NClfXscTznK^hOk|=V@>rO_~{w9
z@0}kB!oO^jO(#r|!F(EM`kM>W;_WggFOiUN{MGx&J*FsVpc@nHyy&Goa7>vZVKK}%
zeASc*^d&6?_<!*sMb+BNJ7D>JWUnh6h&RE}>C$IxtpZ3Z(x<w9m%^I9Yp!#$CLpn{
zHuh!;VNrmka{7!kaOT3b(OP4CAqC!7+#rIQU*3<!U1iXDTTa}?#~4>`8^7yM5QT;5
z%@ciEve>!4{a!e~F>d(<nzQ+fLGztk;1l^}&I;e=&0;aYbget)yGk53ZiaJ3T4bbM
zaB|>{Wx!&kuaB~h1nR0>Yn5H(!It!B?W&awBweh}*O8TkflkT%y9@;^cr|Zs7H6R0
zwZ5N$=<@sO6n!@TtcX3fA3w-W(4nQ#IbA3wg?ef2X%k&#kTrr-KEI^H@tWRTjiNMq
zo1dyw{7}Zmu*CHv4Rp+y=XZyh$snuiCGGJ;6(|;S7`(hsM}T_xrW9XU47~Pnk3Xjh
zX|3_jm_|CLj8AO}J1d6@u3FqUsD^!V3+gT1biBE6G2Xd{3=wI!<XmrclxH@P(r4*-
z_@c;Sn4*Big{2eQ95rxru;fdn9s_*GzuY~as0bQgbZd%<Cj1(equ9b3crSJ0hvyF^
zkllK;_0%blA*~X$dCb7G>Vp2(+serJR9Dd}L`C?PhHMTUV}#PWLnXshP+*<!ne~H;
zeV>Q7+`D277FUOvo{=gZH+*VtZ`Q()W!jopT@#Sc{`Y*xZ&kdgHD%9C(FW&}jzF2G
zCfG8%)LVW>4GHN^Pxl(@Ak#?s=+FUEO!yZC+}^K_FWh-n#A6-od;hocs?qZQtV|-a
zv^6k&I0LWfx)@d5aJ6vW4BO?Oe|_Jpf&LRU+ti|TVVgE(vir3;Og_Y?eU8yYZIHE3
zO|~w0qOO?FR9isfTv1}8C<VSghQ7fux`^hro6gR$MCBoec)u(PHdb;-tufMta>%7B
z&R8q-^0_<N%~N2;W433qN(X0uuU5Id%^LnQoe2i(sZegc{)Cv*#<ob_pafGJWRZO}
z@)D>p|5MD#C8>?8kNdtoS;55V_`_N!3YPOj>om9)sp#psJK6Ani927?V{>w-_{+{V
z*~g-QGQ{4fYyd>-Xx?<&PX*bcX3)@26Zb&Au`dGXc;}nFLZ6D$)Uj*r<LYpT$p}s;
z0cJa<TVFh<p!xT?PpUy`&}uurrLY62^_XreUPnQ|tB{~O{VGrkFZp!hGjO%c?-Zj(
z6Z^NWwz%Y}jBuX6+xGtgjy<(7z0IqMV;>Y8EE*JWcL&!Gl?kATt*GMB@_%xT*diD{
zC5Na3UD}s>0Xe;d!41p3)ukfDLB>Z0n(F?uwhw><j^=kgE~_Ct$@P06n-na1lKbM8
zc{`w%kodS!6)z<i&V?fq$hMFCI=mfdUYRPnWk>~U+$ZwA_{8D7{=cJtD1hf?YH{*{
zGIAqL&US^1;?%169QRjD?BtS33{YC`BU_~T#!ZCLJbk62%$W(Z4{e3k8Hz|)JYDC@
zEeM0GN8j8UY+&FyfAPmpdAP1U6t&>QkNLiAV^3Wh_&@kB@#Ic2Jbvx@p756!MS=Pz
zQOh15v!(KU{v!)U&ESY0FE4a=1l!Wst)ck9*H`<J3>IEWY|#znfyl9skE(ZB;ck;z
z>k~g|Jlvc8fuzoZG}#EzKV6oXc^@Zo*;Wd?mqb#v6nS8Dx$S%-ED_?q`H6}R2{I4k
zTjMtI;9T6#JNGIqVA}hWd!45wJe!O@D>d<8h%VK)MacrKLL~z|sS+r*NGBxyc(L8~
zca2E4Ib`XnBbI~WXwg2F@2Aa&$uFipy8Pxah!LuJx<(v)mO_sf<oLlRQG4WXf*FK~
z&3gZJieX*TrPyWz0o?4Iy;RL%hU4XaZmRpmP-c}<wIfIn4Ws36vXe|vyk@7ag^m~`
z-&+;gJru&WrtI`rLZ-N;&Y!A2FA4`XQL)2x5fnL;%3RMi!Mbfe>@uUG__LL6x-mc$
zUtj#Vzf#)-es9I~e1=6Ky<w3aZ6k)@Zc5@f%NPxe#C*4DQDpgm6hjq9@XzQKeOs3M
znALvwP$e;N-ZnV%OjQEwC%4x7%rQ{BuxZsQA2AfW%L^~+Ng`CK;$hQe1_szE1u>Ok
z806fi(6WYvm<(h7;Pnh#<<eX=KoSR0==0>`5h-M}Op|W2Gq9-tZu81aaV&IRqbb!(
z<GYcvm3TcJu{U<VzpN;Mlvi;vG;vw@?({MeilgIOeR}jFApwHvXVw-Y2dXG<Fx`=k
zjh8oA?L90B+dnQIk@I8(t()?okm*?3k+DO-j)b22`;%E&3K01^f2v@HhBtRsPybbx
zf>I{iZ9^+1M7KTj_Zg(&cC)FZtE4o76;!YA#VJG2>Zprt2Mu<E!H<>YW$>cXCTwM}
z3OF0)+)dhPP*g89^){15$!^{{4R2M1n)sfv=%wL_1FzAmU^#@VKHpL2wd@P=qj6g%
zX<!fCctxR{jM5YJ2d*vq!tL$don>-#{2=SNoa0o$5^rCeaF7Q6Ek<=aZKT8QJ$H%u
zK1GnSyaq4q*Mz8vgxBf<I;6)o2wwiIgroX7s!m5Kkg|Pld-We34}O%M_;qi2&fA>A
zh)JO$f<0OkAq=?r$=qm+SHb5v_ppJJTDTy5gx)g2K%(f_XZ?+;FpP5x2#nK)eCp)Z
zoCITBqve&Z(NIHMOsAXwb{&l0Z|W&AG{H&Zy8TTvYS_#6?9o{*T{KWDBo6;HLAOba
z<8X^QWO#~b>tE}Fd!8ZP_sA5Hdo&c%&S>C%G`C@`haO_r=A50sZU)CCld=u&nuzKz
zPnIj!!@Q8=h<T1V&a$*c_V7_K>3pHzu|p4qC+8k2Wm`bF{ae@Xate$F8{hFh&_k{=
zy>jn4OB|_By8p$RiVL;%_ftdk5V>G_Oefb0*$XVS-FK;&suzm=(5s7bRig`?7p(D4
zx@*^vs1|GwiL0#<)Wz1BJdT8P8$50feW<lg3+dsR1(6&&7*=^A>T`ezEX1ev?$pAt
z@!R4H%RW7Hc6Z};Rp7W=&49bF7O3AZhiZ6I5jXT}c1tV}#c%y-hNgw>Lsi<Rnl)jQ
zdTpH43hcE`_0=4q;(AQRwsX=N7_hDMQslHn*a1uO+HflJwETX(*s2EKqr3-;^=y~V
zKPzt=qF_#a(}9N<RWRJzE_u@47IG2tg(F53Y*KQHPI;yTowi+?%(b?7v%NAta<?Yr
zXNqFQ<K!`{`tDq-oh_0DqC&oAYCu%xl8}0UEbhGyH_z6##XZx6BZI~2nD(pvB6?B^
zf|o7-t>?1EWOH6Hd$k%O49p*H{v(0A+4;uZT|j$$NbGQpDy$lx()!EA&~~G<gg+k`
zU1|BO<-Q6e@+l_|1&bgyHE8_dX26-MJ)6~_3{G~t&@N#?$UAx;DijBPH*Otr%~AqW
zDmN(Akq=HUf{S;gGm-8tFF$fu0kb}<w|NWlAmeW5*Mwg-*fQ1Hcm4+%JRV2=$s4$!
z=B!ZC=VAk~Gp%p6?Bq}#nIL|HlM`Og&efP#SfesJVR&bi3`7`UTvg_P$Mp~u83AiJ
zoC|JPX(f%<zEM{Na#mpfzKmy=gRNjJ>RdKCMnZbx%bgd!S3qRD_j6W@B}7g-c=O$s
zgz3yPE~%X>;P<XASwqVb*EfXUypSh>(gn@NfbtdiTCjrHnq~o!&%1{luZlw;c}4JT
z3I~+dY+U_p${a@O)!qA_i6QRJ?lXQbIk1@)U`6<vW22|2tBHsh*h4xz1q(URckse+
zRJ$2ApK47`3lqhGnt=G7XSgs_9i*URYlfnn-z5*;iNMigIMA?|8_Xrs_y1~5@%Pag
zYXLqH+-<meR{SjwSmpe;1?Z-Dm{=G3GDH~4Q>y0antTxP^f(k>ZGuHs<Co8~LMXh`
z!ZVb~kH+;=4-!mFFnh4?kYAk;MrI6?Mx_K%cDDYU@v;|g4!+4hR4jy~S<c@A_l2Ns
zuLEMOF#?><QZ6rh$nN#Ppk<^8&U<gobsu8j+v8!qyhR~Y{6@+9Qc?6>uu9fC%z&Ia
zN4rn3FkVEE$%Q3i$jUU{8Yjs>Z;Gy@?yN9Ay(n6}_P#hgN7phh)-H3q<GWGHe<Ha5
zW#{75I|+=lx!mp9PDlIBdO7kMQA8!$#MO$B;6AXRdq$LwM4svra=R$>5ABJr^O6GJ
zOii_A3k~9%mbMQEieV-B@G7-hX{>*3f5$zM2H(@7Dc8irv3ATkhF@0}krIVnq0Thy
z3b7lz)hUi3le}O1?#aRB#`#9N91Yt14==eEOCTU1oKMq79*aJFGv1R%7`iJnK9eB{
zUD{Q>RyjqSeYeY%)nx<`lgcA2GDvtfc)g<VmlF7kbL<@+8A0KJkmHN1QXpL4IzIZT
zj84_TgxLp1%bfa{eYss4YZLgsk4&kcC&cQ}%yM4lQzdazL>8CyU#2B;s=>UK%lzP5
zBbaMb`ul_Au<+l?f>cFythHSq_i(`ow_+ckoqkP*rG})0kF5sm{`rV#Gib0sWRdLU
zu{=lJieNSF(nP^)ojJK!8Zupbf6q)PVrJCXvMYyzCEu{W<IDaEkYmeHaaM-NiBEE4
z%~a6RPgxB)(_tTe$ee?^>^}w8i@o2p@aEje3GpsEWSnFvHw9D?v?9@ORzL?OtJ0>n
zL@+S6KwQ<CQpJGtR|ZW^7xZEwF&%AV+?dEMG8$5Y{h!rNA4K&)k~0q4_tzMI%KJJ7
zTh%eQNrx)`Sq~>acy;;@m_SJ~l&!l;1C;_kAER^hq4_|M64_%4xAFQqt4vK8o4oKm
zBxL}R2OG9(jGDn*@!^_Qe+u|I6Mwz(Hb76>Tc5rqa}*{~p7d!_A$u<QjG4ayDpTXn
z{ME2Tic1;kY8Mqkyff*~)eJDS7+=`qVui(tq`Gy%THvdy&wr7pk1Iigi_=G}ajWoC
z?5Y7REV6yMsN1544dg|Bt2`T|?aK|_ZJ>=*RsNCjQe7+~)MY~{6O7Dr-~6{~!{1Dz
zc&)Pz^yYToOmqbXCBo6VO&h`^Id=6`TIejBS@W*}crFmb<7cLggzfTa+s7zaDWsYB
zQqC5U!jXr~KWpLik=`eJ{%L@IXP1nyzb)7^u5P#;ss+cJ<Qvw1)i7`SQ#JFvEz(G1
za>1QcFfLD~`u<YEl_Zra;k&kItIl?p5u;-K&`o8Fk4iACKFv>J+2XB90O3ogz(9V<
zF+fxveP2J`8ClNHA0E(;vDO4VBCa_!QU*J1+Z`P8ZLvA6`7VdC23kK_9loYZg4E;M
zQz7BD(0V}<FH}-T?fvx%R;J?6e!u6-6$@J!tSP8^zCsPVXIsoYEJZL+`Ks&s4;WJt
zAeW4&fL7wh750c9hc+J0si_1^Dr9fGexeMa@LPSym$*TqekvRG1ypz2>E~`&0)wgM
zulj`pY|+U<*8~8cZJ*Q!Rx9B6X7*O!{p>hHwG!Y9VPaLsb;(|PGHAm&LcTIf%z~S(
z-l?@Vh{=qIz3nFpoq^?^v~HfcN$N>;52p=W2mHzY1=1K7{Uws_Kg$fe?o=7;W(~cb
zptmElBm}4qY7bfcV@B4d|Es)gh3V6I(GJm)$TzAJQF{27Nu|Ad>hjwX5=CCCKQ8y!
zqS%Ha`R9L`o916TaX4C{)5Iq%=A#(g6G)@&F8`P^`qgBMA`2XQmaXKm%(1I;rHlZ}
zS?2M&gzS~`=3wVJ!T+>M1i3eu6FSjzOfkif=8fLwQ0Zt3t>F|#b=X+(PL2hp?2U6r
zQVBB@jwkt_KPL$8khzt@&lZ_yy*>wXXqjQ1zYJx^b^)a9dM45A&xXfpjBiiQnPO?o
zXFzxdKNM5<^BPC9<L771^B=gEJ@R*I;Cc=pntX*ta!Xb~^U%RA?-&zsGq#`fTI5A_
zdtwpicMeD%)?TukHikj$-5nX(yl|ToW!O7%;e1o-Xwd;<tZfU^`Qy%ungO=SmV4Z&
z8e1)rJi`FL8o4qKyx2RiIx&8EEmE5p;y=m&jr(|S=yINMtD|r9Js<vlexL0iz(BB-
zX2G@$Ui9CSiEqdkz?JvB>wGWL;ZV~g%lOHQo#GD|77;?2E3wmxq0#X#qug8f5FacW
zN5tDgMBvcB=V0dx8hT@cmb#SraXK*jxJ08UEMj%J3ii>kM(NmV{-6BNS$Od1!jKro
z_)BZ3BpQVE<ZGr!1hCrHOKU+)0(B^(v^5%`WvV)pZ$S{Jg!j+C*(?bK*NnpN2aGWM
z^zGppOJNA@aCKtcBSFs7+JMi%2x&B0)9uS5m_EL0?M6ds6k98DmHafse=iGuRpy9d
z$VK{%(jyrpdBlAWuQP;%ZI6pigcwT8SSxZv<xo6&`JZx{A-bQlRdEN1Bklp$C0+}8
zRQE2bW`r0bQs_t!?`{dGC?q)^QB_1?iuS~RE{2ea2{rwfA_@48ZETlR#)O*Mts5&1
z!MDLmEw6zDl3>u=Hxv~JPyBSgzP#_NYu1+|xO~598#U!Mst7bbt}ftah*Kd=LD3O1
z_?X7`SRz^t)gv#rYzZ?&^*jIMoZqsT&9-(re_tIHcHw4>B14=L@HjA;N(M#J@9Q@X
zO)w^PF1e2wBEl-^vJO)LC%)^V$ddv~-J~limPU9iD;(v+r-ZWI9MT(ZQ(=+Jwz{a)
z2(C(l*B1^b!=t*Fbxu$lcgQ>Bw$Nxek+w_JBUA<Yy9W5i{dHiqB-P>2MZ>>aZgXP$
zRk7{0e0gG(F7BRm952nHqd%_h)nb$yQj#R?w~gx|P-b7G({2Xl3~a*JCaYs<=a@5{
z*8mCX!}l%yj3Kx_J@Qz#26{5Lp>D|lA>Y>u+}&@2WXAd4uzXE)c2l<h-C>BiklDbt
z0#jINCq8k^qo6?0LiNQBL!6hFd%tGL3>B5DHs+tALS8av$DgN$D9cz?ltQyWRp8U)
zq#!M@o^-jDH5$Ur=)t^SmL+`pRYN~hw6W=1@Qsz}h9LfJa9lrSg|*xvW!Il-V~_Sn
zQm(Ec;!XzdEOfI$a@(V@MZ5od_kGihnE@*L1>GmEFws4tcKd6V4m28U7#~=A;0${3
zq+>4-#9P@CeOm{f3`M!5X&rF*7OTHm=5V7~;F4OQ4qlO$WbS{_0=wjpNX9bH8PRW&
z<~J|r9RJYkODM>Fawg+jr!9<L9IzW4*2dWdVJUGZ4Ww#>-I<lKgY(n9gpZXrLL}3J
zB>Pm6UvqTvkG&maeV*;Tx=RaNNE3gL?^lLf_T%mAH`}3)qgzBXf{M0&HR?XdW37E=
zMVz}GLJ~tayLeN8E6%xlN2T#CI9#yH+zyo^Ls9a2nz+5UrHU~ofs6WO)l@+{+%spL
zs+v&8KxF>jmm5Wqz%iFx&~A(7iRKB;D{467>)6B*!jD_GzS(R|u*FEnLE-%6`S)8?
z%I$R$T$pJe%-C*diwOUhRSrBVn6RN{R2H&<D11KT`v#D7SzM`_poAX93$s;hvrGY9
zo#9&tfeEXWwM<b3SPWeqFSVayzOD6{Fq8nCOr__J+?PWow_4Ykr$3lwFfRPDjfvBO
zE1xzb$l$syk(}!Hh50`K0096043~F2)o&EXZ5i3up7*-f-g|zJEg~W-l}JXEBpHRW
z%FfCN$w;K4Y`G5^`6Ug?mYtF^BT7I2p1;oPIp@4T?}tw7`j-=T^r3X`=|ae5ZpfM3
ztJI~K#~S|XSNOlzgFAjXuI<TOK)&3US!Oqb<!8~DpJLI2vv#R^>HQq=JF&ilo?{yO
z*x?{{@Q5yWhYR6$G}uAS?)gvFohgivV&zGlsRL7Ya&P6Pv%*m1p=}tL#uoT8E@w_?
z!{&OI#yzToKscUeGw45yMMy}8f0fY&XUo*!?p8*~-z%Ji`}0`WaI7C|q!yUOs!hU+
z1CVrC<v_B{BGx21zd|vj2@`2oMc4n)!4>p-J?_*JHY~&Qpjt%}?#e007e>*7VGYCL
zX3GyuFU8jJU#14U;>JtT>(Ic@;N{1QGOHK^ooUj<jylxP{9R^~p$1>JfWZ!~b*$_9
zpT7#8>cAn(QS|XJ72F{X*_7cnv7g*|#Hj%_C|7<;S$CHb?0?26naOQoL+Ag~A2n42
z&8(MFZakFmGP%sC`S@?lRn}qYV4Er|^Zb~aYN7zkrK$U>_jj=de~x?SwN&9+y3^l+
z>lC2RR-Q3SwTC6j_HL~=s(`>B`I9I7D4=oXi;o9Tz-JjUMV_t-I7o#`8i!E8JF5Jq
z-c(9R>8s5+-Kh+R&p+t=SV94V<pTx%t5gtPuSmABQ3j)7cG|UN3J9W69h&i`0qW0j
zM=nh%!A8KBo)5<;AyDo2+lDP#5K<Be8w*l`6ZfL*7{(~!=h}bzI>q#GsK>eX{y`;p
z_vCzD_%$l%YCbKV>CFJ`^;6Z~Diy)=TW-v0J!-IZbABLd%LG@CJujR*tO&o^K3EzG
z(7?zfpJmX=gD}VKZ0GYu0R)XkmsWXbA*R@T{a7X|EV~35oWc~KjF5LHMU@V8$6Icl
z++_o;{v+&$_vPVA8#{MIAUzBjw^b|{b3kWB^xP*ldDt`89q}DF0H@uLe*RLy3C7kv
zu8c`?u-tJW1)Le7Qoi>{rW6kHi*>tyamm5r6{!yrbj(20?`$C6%MJL{WyYmPvS6Ik
zaVKj0AWYCzr@g+#3t5po{(;A2VYe=@VRVue7?*kls{HvO#=rTOE1N8oyAN+~(zAnB
z<u#5M!Gdteu>JC@&oaRG5oczg#R1o=AI~+H3xg|{OtVzC446pR_B6$CLhGJr^|eS*
zV3iKcKek_&Oj0gvU*ZDB!{UVmBnH`@0tar*%7BJj|Iv~Q+)zBT6=aJez=5<uh6`e{
zFnoAKD}tRD9O=(g#72n2D>Hv}Ld<@j)Vj~*KJWoacIbBc4iSO~D<Sf1a?qvx+()`r
z0Em&WcRpSMeykgWhW{rAn?*aFXKI9?AY|Bp0xtyzM|ah+MtRU0>eAzVD+2ti-y%MD
zNrUz8{I2(t3b1l37QLnsgOd-FLWKNfVfl2cT~o0lyuIkAz@UJKcCLE~jQjI=&^%8H
zyQ~Bg6F%={&JZA{x?X{)Oaa=wG&9Qllp%0!+R3t59BOYm+Zv`R0^{!-pU9gk;L#v*
zF=K`Z6^GqfL$sA(px=rUdR0Nxyf{>zAOSLQ?MdmqN+9!r!>(RV9lFNfm+PL8gf5#^
z!OLpOp!BuVV6j#MZnF>{Pu!A%pbHJS@0XR~gnmg4veN=e;fpeM#nKS5fqP^Ytqjzr
zq`=VwIzaY+RtNbqaBjoDpVv_ta-14Wuf5WRUy(Q4m@de|cJ^`Sz3)mO#UA=;GEN^x
z$ErJ>_V?({MrP|-BPEDTN_2M?0H|JKNhpYx1IKU^9Klr)G+WbIXyyTWSvz)`>gC|F
z^J!b#P<f!6@w@&s*8r$LY0Snvl!FJS{>k=_$$+@oMWX-}LugTHm(g^QgTr#S1D&=c
zVTy^I{-oLve3@pYt9oUj#;v*M@E0PuoxjDLPiqA3OgA6e?8<<4CM~VwD?EJTx=e9I
z+X#LusH|^oNQ0Mw$*bveA|Rm5+TVNF2n;!W54*HULH+3QLjN>A(9Eko@c=Ud^+kcP
zST{*HDZ@U~D$WIYQEL44+(wYl`RtkYJP9h#MA>)8v%ryoqV2FxhEQv+wqxZ$gx2O8
z6g<1MFyxi))f8<A5^uFT@h=FVPP5f*;rbV&K7H^53&9XPS})od;_-k{Zd{8{Tg85)
zj}a>y4PaY$XO%ly6gF~4_`3oouqkGxMNxAD@Mx~wN~ISD3KOzJbVx3_)=$mx<RE}?
zA~N;h761{7_oHMOAx90Yd6b_5NEs*$nX}@BzO#(=^%nDFx_1KhmO~g!(@N1YKf}S@
z<(Z*ut0nUH`kX|zb$uu|G3@+g&Iyx@F;xD9pX7cMxBEmceZU`gYRqC|hYyzL{+=#a
zA(z}8Z3xoQgOVZs!Ei1X7(LsSX1%jQ&bHd(yX2z_w@4?ry?hu!`NXA1%pX?BO%!A1
z#)Uc{-lEJcAV?42GMm0fnyrwpvc)BS9MJ~F1l#NPBxvCM!&vqIe*7S}!u$F)0d4TM
zn5fo^qXdEHgL@mR-^o_z3T2O-(Sq+wE>5W)dzg`DaH02$Z)Em!acYliH30<o1iH<3
zu+piKcN6}L<RllW-fB8c=xm5h@O$(NTe)BEF3Yz-HX<lLr*qSQwIC-Qk=S*NYs+Cb
z?CmVMUH$cJK$|-Fm<VK2cCTRnx$JCO-km02iOch?6jO(UrBwf(p6{5Vbe`uMme1sc
z69o-dZmB`xsmDTf6^j_BUgaY_nKAO3eXDiJrYhj{U$o^4%wq}mV?x{ML*%#8Q+j_r
zRUySZI`b#X4EBat!IEe;Nd9+rFvw+81y0&Wr9YdW#PY(3^^0cj$(i^=yqQN;fYfbi
zDjztC*{l9JW`KV~wk8=)#`P;h%MS~=@rR$VDWw31MZH(#yFbr`b66|Gx0O??lEDMm
zDq#?14ZkFZtvZPFy;lOB<AUl^FW+ItZG?ZS{bcf`_k;LIM<tLB3?1#<>%$!K?bS<L
z8p-xwgd(J;6@eri(j%_Xi`}>>IL7K;OOE)L_l)YiBB<V=RaoKb#<q$&wEo&ZBx}Cy
z-<{f304)*E1-<Jpv7qJ8jN-cm<VgL)M_R-bAY|jRhl_VRmY_+i^xQg*Og;MJt&f#F
z@Yh~S910|3#v_kAMPfp*y>XM|ml1OC(u~Jcr>_-z;7D{MOJ-wP>($J~b+Qn&GJf-6
zXEP>k^gU)G?>=@Y&qiW=RR)rlZbp4HYr>c#L`rHqA7b_LQ9qBU$iU@K!DnWS8!<=a
zQa59#r&!M{${!Au27KQw&+Y04tTR-x>E4THn5Ly-uw9oFSihLj`f{ZKqi&d{5)*B}
zWHqeb7UHC!<lax~kGTz4Re5{tOj0veb-{f-*H;o)uKq0DVQ$3APb)UvVQa%w;~DY9
zP6_C6>~uNX*NFLw-`*J+L)f<fzj!gc1V~2W{=6A%!no-y)+~EEFr|B|>K9{3Kt~`x
z_Y`lz+#gpR`uwgFYrkwOvGt7zUxM@VQFALcSs#|Rxz~+7bevPTbBqXnHd+3SIc=E9
zbN5mir(Vo6!<b&ZQyjKR5VgD;!Vb$A#b2C#jeYeyX4IrE4m%q0Jb`)b7!$qeAAChW
zmew@tLSIdQ==yYC$G;sI>rz%0+t54gpUz|jy#xWo$ONjw#7<0g$F28Q#0TtkyK3P5
zQatqazZ$x0-i>9-a9VrV3}Q3il9mw>4-P!P7mPGtVT)dFTpl)`Fsw7#+Nx3v&e8@X
z6HonzEy={{Uym8aaA&Irm6gRHF5z};R7W2s+GPEEcx@CL)Vw`;;)N)beoXE>?EMxC
zr1Dvlygz}po%%!7YAFg=CkRnxGVihD3_`~?4o_jKbHb-Xnnl1#wJ;*_^#@GrsKJ`T
z>NNJB%wSc)tT1@#1$qhR3}W&dJmA(bi#a^hlkDRVh8M3(izKr@VQm#WH;TLFF;_*j
zyJRK=PEXJG)4d+Xq`w&OmryKX6q=~->kUC5JpYs5pgV^3H!{#Pg?_^vcqQT+UJ5{T
z@8^rls}q=dhN%2cjb+R-_pOZ;qX2{%FsZYLPGMD#o?lEA+vmqgsisN?e&DTBaU8<W
zVC5euwW&X>Vyik_%EJ|WAoG*CYGr2@8~UR4K&f^e8^M{+E>iFTec(H>6uJe>Nxt1B
zzGo97sWdMCImrvHx&N+)S}tO~w<Pbf@NQ$l+WuO`FL{8G?yEQH-8bx@%KIBpl{;9l
zM)VI#c^=qvh&a)ezl<GSj7@cn`-{0}CAFs&aRY@5pQ7yX73^31slioe3Lwu77<=<_
zgIF~hKf|?#T@UxGR1l_u8%4t5gj^haIP8D)#@;$+h|k@m!qGr&(AMTnJPz1i#ct7y
z{K8U8#>8;ObWpSDKayF;1<lfta=5G8Sh6u~MtRKv;2{ku#oBQ}L_xY<kl-$Ma{^>?
z&oBXb?Xu9<znrk)y3+WNeh;(b&9ewS!ve!!$sW(@Iic#s#bwHUZ$EZPj-g|m4XDG9
z%GpM7LZ0WtBKrU;peQoQv#;j>d}D7#*9lG-_Bs6PLjVn=e!8;W@sbOIB7`GeALRtK
z{7Z#959#3A&d7UdMjjZjmE8N|!3nPg$}L}tF~AXL39fG`d@%L1eS`WACp7dqFcnNP
zL3C1|NvxwFtVh<3zF*^nZ@&sNyuYwOovM0Kq>l((<$u{e70Ctl+#ctjiLrxhnrQ~B
zrx>)3TV-E0$ASA&s|L$o4p2?m<Y2-G@R%P*$LY)s@lCE{w;6C?FF^NSj4=^R%@63u
zAs)!n?U&iG;DPm~<HnbRC7?i=^<4PAk5JBvaoq3ZgV6B4uZe?F@XSYoGj~D&Gz)7k
zgoO%%jk9EYp{p$XGkceEpDYa9vNUl4`+mbw;8wcMpa9Gyp`c1hF;L@AjJ|0l1|u${
za+Pn2FhhA)<)<S7{tbBj4x}c)JtO|G#(m!-b%#iN{zHWMHs6D;AI0HMwOd+BrwX{e
zjPdd&Nx=Yhn5HwC1T6UyHL2oi@ViB3pmbUmh_pHk+AWfBVw#j8=&cS{OYFXl<tu`+
zu~PsJNrRbRi~;GY2C$aeip1emAVto=cconxRx-*;URr2E8us%x%cvTxX=*&luaV#P
z*P@bJt(xE<sVOM%SrdBPr<j8E6~UuSF5*?QCWO9F7{A1!3ydWml8y9A5Yv*?T%@cC
zNpWS@vz;+G)bP1*{Gk%?k1IeDuLhLQ(J<K`G62b&arAfimBHPpny2NQ8mwm~eolUE
z2mxG=FkxF|sQzowEU&2oD=&*E{)iYu=ar%Zre?|j-htBt*@|#2==imGH50H5DCRl6
zqXgH_>YP(>kb#ycH;=u4Ca|%TdbR$X66BqryH=`81cyG>m^Y!O!2X%-zjOB#L4J)=
z{+PEg)Cp1Ex>{-q8Ygq3-Wn*t1%dG{6(&vyvD?9h;!S~ho2{($r!4r(1c&(*QNqES
z=^Z?Zrmzx4mpyn|8YoJYJ3O&)vOxzQuC&So<}7AXK0J|t(2jtm7gzq0{TQ4x*AAFK
zN0&w__EQ{w@Y%T}g)*Xw`z;OI_Qv2~Ga22ijEB@hWi7@Ib`<O2dde)%2r2~UHq$sn
zAm`WF76LyGb!&afcsXSVWiBUpFaP0#BRNSTTfsc2)q9!gt(+meo|P6HR>px6-r0$o
zkq<FdxgC5GV*qnns_EWjHn{hR<|~<kABEfzvS;`LFsyPTy1|M8K4y;<_TJz}X<`de
zuEzk>9}mC#Ge8MFOVML?HT;O4tdh}Jh(Sh?zd$qpFRa_|ufO{Pesslsu5`XaADlAC
z#M@o7*yFL#ME@{;RL$bRC)=Y3X_TUP{<AgYkze|FMIC+=;fd!h+tLLq+h2wuALq$`
znDkacfAJw7swvttnz|spac+^iex0nMZ2xhkjt>QdZdH`W>%dNTi{`b=U2>SLR9s^e
zAHt1l)6LFm!=IBcMd)oQk?`)9!oA~sh~+^4?rTeJc>fAF{q`yidR~`R<!8x<ii&$N
zn>H=@)2aE@*@YfCi4rWMZTV2aRTJ}UZ7rBn=XsL8$$(t^cXy^Q@S&^Wp*_FI`+I(t
zl`7hq8Qrgm{}%Cp52;Ol?D=J-2`wkK7tGUGkj)c?p7+~)D8*8g)^JV(nmLcACE2o}
z4~Mi?*FE?V-e`2N?1l#PxwI_dt=Q4CCIPm_MShgEbCS#~r2%;t164}(Igo)RmeCw1
zfI9q-^@R=Xd+%9m&$CjT=yHJRF+V*)l)C90$e5xIYPTiHC)v1A_QF9sUS=T_PB+Bz
z?XWr=nUn~U_{D|T#^aRdSA~$1<xHnDmpV+&2KCcS;83EOrToCMFsjQ+D111l1_hE?
zp<lbXQQOXg&-HsE$nNn@uST01aQO{&gx2vOi8haloZF)4sgmn|=Zn?g#Q>^0Sjme-
zV(v|RkQGA=VYo{#Q`ErdZ)!tL86PsaX7`x;oft|`=)O@Krv`c&V?LyZ{76PCXW2Lm
zk6c1xYG3U8xo;pbZ1TAPdcAqVn@O60jQEERdgrJCYc}J%-B*IB(ps)yVuFCQW0HN8
zo~c1`tkHSPc_BnIHZ!@LA&y$se-EVXbLo7;#!X-lLFsbGLM1GSsOnPe^fHS&SX^I8
z+2RvLyQJ|{={+J!{+HgJW1|i|GjRsgwW7#^hbP6NnuJ*1l^eGgsYAs;J}g*@A^K=x
z;WT>*MCG-U?Dt0<<Qwk{CoPDfMDfRE<P{0j6rJJidsYK@J|FsB6@^DWocbo75t8V{
z_!_;%ga-I(I&HS|5|I4yW%)0^B@yQoyZI3}P2d;pHsq@&AiDhHlZB_GP`U7mq|Xmc
z;C&`l_eMt?Z5;H*epgAMtr?me={PNj?dQuG><~v{2@9lxF)7p?U0>Tx)P|jcx@CGG
zqOFJTA7w8|p(JmyC+x4ap-l4hlxhtTc{;}&j2)3ekqS$f;xFldZO6Q#92W^`Z`yq9
zDUm`%fy_)NL0#D6J;pP3mV}J0$X*W)Nuede&g``gU7!uMt8;ijLeHEl3WHutBDWe*
z{0DbE*ohGSvO7RR_(nbdd}&Ga>IxRGxT6P8X$7bwmq@6$>o`{CBY`sTYl_*i`Y;hg
zx4ZY9guW^+DoZ7iP>7Mrv=J2s2NDjraSoGESv(Lbvx#VqWUoBokHJy4A^MMxNN7r1
zIPpx1IO>Q$6?~%`gL}a;p;PBbNbVd?nk|%oqFswaF46)>mrK2|<t8DmHw(Rau6Sf>
zn)3@Uv>yk*M9iD3iHPBKo63y77`i&=$73Q5@b=TmP&QQ}diFKJ;1W?3m7Kq%z#<25
z#Qc=_-70bP_cQ@lE-j40Hsv<ghyV>{9TA_o#nFsm>Cq~pAky`+hkP7>L7$O#WC#H@
z+r20}V8oAp%%3l={EdM?i?E#R03IdNc&HL@@}g|qbOC!41~$FSQb|&HWW{vf?BzB$
za*Msgf9xCvg;{T{q$0$SHSLd^f_HG}8zU~)g98KUMZB{6fG7&sjag(l!-c-Cf7%v)
zst*t9=2lP2h$24MyY_acI8jIP-6Ka#_2CCo%@a;G5!8hDebE@tfsm6hW!@(}NDSe}
z@q7|O-HQB=PL8o7U!PkQSNG?bdgew}X4U?EJsV$Ma%4wReUvJeOS*6{9|aDj3!uA=
z0rcb@HuQr?6Ra4h3o=7yq?%-Y^vcp#ji;RrU9%}pRovErwCIqE=mI{J<5_h_t%41m
z9&@}X8=(Wvp;d8KFL@C+`{%CUYBr=ecawdAMh9f0&wZ=^$Ad=AHv>KU*%04a@B~e=
zHe}1%j|<!Jpw90n{&gQ<M+3b+czzyj;I&y&t$4wW7|+!Fyzjz}@~-9Rm6d40uvhs9
z6O0>arv1}0-Oop1?ap8x6)os04({t3!XcS6M02Bkjt-i<2^s3rg!QZ+fn#wvw3r?c
zaN!LH`Y3khtg)*mEPOMdmpqI^KQA}MOrGaNtnS;XjlVQNR@p(sPy&Yx@}qx^i*X@u
zm$iY!EDew|IN#L5gF`XNlRp;cxzI-L&@-Ht2Gq;gF-QpE(BArDeq}QbZG0J&d@`*L
z!*5oZ`89Azl`3m|sfZg{MD@b+RCSm#9@|p%#G&4UeJ4`0c+k6BwF$9C>X5UV6vO%e
zhepp>NXO^%qQ|r$4!8cQfq2dt&C`EyNasr6z5i<X5P_lnmFzyB{}sxV4xiyh7X}vU
zEr<D00?Q-vT&x<LoGp1EH^q%=HU$HhSOn2s40m1rm>P7-d}-!C&x6jgKlSxLCWHz|
z!K5_Vea<sV>N&IUqB{MDroL6e$Y8;(E{9nSw0^I2-9@~}X`TC~=mAl*U8vaqc~cb#
z8uLNPF??vkxS}SyT@+mznI5G1stO4^v%2lh{3wXo)=>Al7^*6953F8Lg@KdX($6sg
zr1+fp-$heA`WF^%7X4EdESh7UlGOx}1xI%gGaCWD<MJw3q)`KdN0+JDb%c<`@#*eI
z;{;T(Y)En?s)5?M$%aB}Vf5olm}7CJI4ZqCKY!m&4bc7XeL@#R5TkK8_4E}Yk_mLQ
zyPc{AqVCLw;Z~x^d|@w+#*l<Yz3`XvM$}+_$+b;zQ52m(%Kwb$B#?B_^v#3H>M$MQ
zFlG@ahSu)(TZObspi|b%Zj8C=P=JXMD@b_6EaLQ9EI<-@wQ7X~v1q{1ESpzR4<5On
z4N1PtB8AS4Ti%|(tpRb%H80)02<Z8Gj7MOO6mq$}9(50|3F6;<EtaXp(df<-`#lC}
zbhJ9aICkGFu44|x^!eiGA7#WR=2Ozh$h)(a-b)KS!`Do0q>0GJM_%AfhBOi&4w^~t
z-$nlPgKo1YM6@w4-aT0=jh?10-i~;q4g8N>cHAUL=-3vmNJ6SKy4}lIEW7VZvh2(P
zxHJ;V7R;*JvXw@OV!0Qn40M65Q+|7AfrMtMK-_&lN3L)urzP(D*tsM}ohhmPcUc(G
z*K?IZGt~2miVyT4qPIb1)<FWn{AK#X<&tPUz0=C|us)=O)Y>QdNucXdzUlY-B+wz9
zEw-{*eTa%$JU_Xg2ReeR4QcziaiOxsXVV7*DwPowU@d_xA3moJMnok0@?c}lI0o4U
z6*lMjCHD7wdgywtIC}e)Q*%iW;8@B1<h%VObO}4h>gh>9+e}JwbO3<o@cnM*M?$4I
zjetMWcvP!?;--@$z_eBA+QrTNyk9r!*<BGutzCa=zq$j^USA$D_9LR+!wF{%!$pwE
zru-QW4}eGJ^WlL5;^?tu_@QN4A;h;d^gX}{ATo*l*0`KF`l3=iZ$Tk|UUAgrjv4{X
zUYQh#i6EfYX`3s}e|V8*Fs|E@1R$*KoqYZk9xWi!Xn_O|qAFt+9;N_jRbAsvX2Bz>
zO|7@yF*qb_oSdxr5QC>VrCt?wVraJDQ0E6OE_A+oIM%}i1F5*c5}Q0xR9YZq!7;*t
zzB}vETMp~PT={BvX|D*%>~F9Zf5(o@i>yLsJoMp^UGAlmzQX9|tnoJ2HXGtme0KZC
zS3RibJ^oLVUkH_Mdf1y-v!U-(iaC^idazmIu1h;EfO;By{p^ca(Yn)bf$)9)->Nf+
zpsM9ZRBJyD(X6o`0oHKq1Rq^6WIC<=b)WO)2{XG?DJ<yoZ(9!KFFLR`Vpp<#j~AJ{
z>%92tw_mS&%V_PX1FnuOZ)jV2(5vnYp}LzaD6;iFZ_b=Hv?;CoCjR6`?DV;mi(@Qk
zBbIWc+EW|;8FV-|>2M>$T(ed2X;#!WV>N~Qss(m@CK1v1_TQ_H?bHAx8}j0Ik2AiY
z1#9o)uRYo4EmPa>J(Vyvq)!r3y0@(fP9GzMrfaznU%36H@V{&*?m;tOY^)}jo}!T`
zJH>^12D@mYGuTmO`R@#KZcRwubbk>>;6j~Rymx$cI8Y0t^qfwW2Hfc0k{|oaiJn9(
z8)R&7pk=SW&mJ3Vfcx&_!|;O>Jv)8zdv+Tq`kvyZzB;20>TDNXr8YRxJ3Q8k<#M5y
zLFXA9;?$w|DBlZVRxY$d9Uu_7KX>(E^H~)Ib=cetJNjIo3(1~lb~_WrjSTZ2bAFlF
z=WXV|n}i!&=<&T|CeCCY)Oe+3>O;C3M0)tm9vS6AOS>Mo8uz_Bm^QH8-C7N5^)f<V
znBb7ZAxpFCBYcSWUP2HPyBeg^uMFMk#GwfFd%u(T1or(QaM^N96=)x>3|BgEBis*>
zk!fE+G$3`7`Ej)>w8;PE>)z!?6c*wSPQDRBa}OV|_1sj2k1p@<jn8;cT1bLL6^Ni5
zndHYB{;HtSq7rHz!HaU1npZj9MUe;cudF)0U%$zprMUm^>S+lT_m>evuijl49JW^l
zqcayPIW72+NoXTw^{yE5TcXjt=Bx_YbyJ3yEd)@#kNJ&>_xpFl_1@CeR~2gC9jbbK
zToA3ib$HYAh=9Cmw-&Yc`}rRL0RR6Kn0Gi8{ujrs>~URt?{zQYx?I~a<ExCKM5WR&
ziiV7gq9mlGY+1>QtSGH}P>PU}RFqMQNMw|i-~Ijjc|Om1KIeJPdB5K8Pv?K?_Fp1p
z(Dtx8ttwF&6{BRkKh#q}HT?MUT%|0YR@n9FuAd4PzKsl?{z(O?N|{f`f5@R5&!&3+
zO{y6CJ(yjRrVopYM-RTpl1F~-VZwsE8d{XPdVap54{Vn!RrstG@ZJEA82g+W`c=H0
zOZlr0K29b>HNO<Ftd}+TbCWveFnuxKeB1!coyh?*d5Y-ot*O7`xCZuSZ3!7#G60*o
zlDFZTmGJ%t8<%-u62`tvTYh|%2AZj##>@XI;hXJ>uFM4_?7nAU^owQ)U6fHF*8*h>
zHqs|F@saW7GJi4Cq#-a>DmZ)q75sT#>txtYGNvgkC9aeiL7DruwCH{nRE$<#UXCW?
z5J_TSZ;&z6eV)GOy-yW6Dw<vMPLpx`vM*|yn1HL)FkTx_#eG+#L(3e<n7(?x=L@GP
zz*P7~8*4Ruy;bIT;tvw;Sh-za@zxZ4r8^=z($w&t=$2IR-6Sl%U8ColZ3ctqTz0?e
zQA2)P>*bmv4ZL-4b<>QyIpp4aUFi2)4cp#XPdPkMM?Z^gF8Zt%a9Q=AsPU2-h7U*;
z`P@~*{Rsh~5qTD1x0{DK_Ny8?bR6~?OjN~%^_2TIL;y;#-&bA6z5W^{@p5|=TpzsB
z@9O|i=Qqaj%U2Ea%38U@7nG1f>6>_d5@02G+dMy;8vb}Fb8B;!BG#~*Jey1b7$!Y4
zNQhU(tLBb{+@=aRE;TyZUhx0=rbWXGD)=_JEWx-#4wH_yls&u&u%u!v#=cbr-?-iz
z0s|SG{b^ToEF0is6Yq9fzB1bS%SCT~E{UJ*bAJuS0T9Y>#}5uG;a4H=P>l=XxOwFL
zH|4_sPoH?K9+FhTkiT*7Y2l)Hr{+a}f(1aDKT%iDSrN}@*{j7C3!__#Zru(7z}T)&
z=|QmyX!?Ce@jRChE<7k{yxm{{ANCl`bKaB3HlNrN73G51GtAo`0v6!m9&c$hB!`vH
z{N?Oo2`IOGWPMAkIo#=Xc{sdF7CHXw7tc}@z$!zDCOt3*7Ns*jpMOYWn7u&BVhJC9
zI=lJ#<b5-s?o*p{yCj7+m66PviM&|D>Jho3Z3evSAr~H5OCl-JS;P4$53Yr;8&%yj
zg-g*6ax+8;q-|rr9k_)DIVztli-?<o?UawB`HC32ResGMmEpl32fBVsC7Zz7mE4$!
zHBof7|D_$T&4aQf<5!|sP2l6Pc3u%lQM7oucI!(R4~CRDy1$PwhR<oc^OamhFlbpm
z$?^{mUVM=b)r&^3&JjKlStN{EC%qOMi+Pdc<D7Ub*a*^(-EMB>6GqSFmj-H4d}z!$
zSaW*85C{UNZiJ)?Vf1o_r)d;FZsXY2BY)ZuzSZ9{THPpw13NZ9@G26(Qo{oGJ1mBv
z?cI0e&KMCl&n{&-o+4n>xQwFz6&gHlkJR~6M?{<ZsbnXTAl^K^iIyc#gN~X%f9KMP
zs1ubzdHqWeSI+%mj%hT2QD@@_>#IZz>*gQ4{fvkfFRDHLTn*s6s}HkPArZO#SdV?b
zErfT+g0|$%>O*hb<-lWYL~JRPeBQw5FZhet{o@(>;Ix?{u%Af?$u`Wnhbu&IsV26=
z)LI`79!_w2>?DNo|GKjGw~Au+kGP<H3sg8`ob6*$D}>dPddy<eVmRI2SLk?$3Vi42
z%%y6=cxxXeeV!zNe?zz5J`qTT2D^)bA8UoN@!!M7J*Oox-Z;kI(|`&RP#*NaSp<I%
zywlDfl)~#x?8VpEso>8#QKru<id<)JU+;I7!DA<`ia#0B1Bb#_H%;0^vFahu=a~<(
zSjp+0AK#(}ZPjy1_w&T?g@0tYjj=p_`}(oHvRV&93(5tO62(#Y*LkiWf&!BDZKeN~
z>Os3;#NIOr5;*Q%!#p^xfG0n1xdxSbuwZIh0XdTB7;!MI^sOS!hAE33eyj%<CG@nM
z=~AdH_K776m2foUZ|c@TJ)nq?Lx0apV`1g!fN-rc#vNnX|AUJP*?|t#BokS*lDHNj
zP^^MZ|Dut96BU;Fo_7?a$YIzOhZLp^Rs4SM(ER1=R2Z8+!t*j*9@j(@7T#Y_!#L-&
zzoqA>V0h%ep$Q!Ybl(0Tcr{2J58N_4XzrsA{c*FoTc#9nXiDA7(n$j?+1EFkjOl~L
zeA=<i6^f{1C@ub1nuPD2yx(z!8vtSTulP@2B{aEes=M}%gbJ}7X~wcN@GNlZ{Hmgi
z8r5!f{UKz$QA`gW?WKXwu7#1z&&qiDsz=?}A{n3V`J#F;(-3+LSnX6&RB-O$*x3wM
zP5kN@x+Lsx1Yi9M@_cCw-Am?<xgVp6c9#z&ciI|5-p%%>qOVo4+v{y*OROdelszLj
zsha@1Ny($vJJm3<f43ivQKvJL7Fft<3NF#{jrQGYxGThjfAI$ym6go}w$7RYt4jEw
z7g-(iy4%|?IFm8&P14DXZZmjnZ9i-ksE!d^#>Sn`lF(i0gh*n6In?gWIA4EV9WBS~
zj#r-5K&y&C$$k4R;6i-e5ZeuP6m9G%`Q)yS#-#j~4;%m!yPvE$UQowdEH+#E*wyf`
z{4bi<R>t{`#NI#`b$qEzEE>pB!Sf?bU4~ZxeB9nfkyq7ldxH{LLRJ|Y8saQYJO<e9
z*?W<gq=w&C$+3hCMeNM2;l4Boke5XJ7QC*CE{#97iZbS~rQB^fc?uxCx=mu!E>$e8
z_8+NGlEYVF4|V?j1gH+P^Iv7mO{ApK{kNN>@zRFY#F`NR^JVW-yFW4f2W5KJI7<Rs
zRbLBCz5qC1TXK6h7lRj6Y3?WmF`T1ic@k~`?0RWF`CC&7{}mnMvG^{GQSCP>i$ejJ
zJBvGJ9TgF8JvVflCgSo)RlBYg!06p3ml;0=JgV4{PB0Wi=eU(cDm$Z2#`finiSigA
zpZ4rPya0M86$L0IT0roksI#oM9L7xC^SCX;hnh#|9z-S!P)rc}%+kcz+XtMLU1T22
zVNO3DaLgS3oKpKJr7DfS%hX=6axPpF{?jG&$qcTH*!2~cOX7I>i;VRoP8>|W^Y-Q@
z1}_2tR6wi0-n$9gNuWk25*~DLU{L?>q@%T_K(CYu(q0q8d*^dztGzgIEZw{Ryp$<e
zHMRIk_K2d{#T^50^f~bP9hTS^7fisc>upImT?Bg~{jc@AaNz#G_STbg#z3hmDT#h5
zjJ6LG8g|~|K&dMe`jI}ya9SsS1M9pHa=Dqs{?z2e=~eZU(|txTo;NX*V<?1GpX-Rq
zqnzkPxm26)XatM<deSO0iFmD(w;~R?FgnR$?9)?2nA&r1Plyl^uM(nYaZkCicuVg5
zq@^L8N)Y{}S|*4yGqqtslRPNXuXtlaD-BF;i%)%V7sT$9V`)3|_>f&(q;kJK4J>3M
zYu`!<B7gW&GD{9WLhqT|MsEy2WO-1Uv_!y9d_h_h1OjTb9#wAHYXEv@x92JUB%tWb
zLe={(1bot~mufJt4{AF;JQn{$z$#lKl{0OE$Ts^#_T43YxPRcC<q1(i^!xU5uW1tz
ze`(s9d?V>Y<c9&-#{UHIh~p87j7LH^_kD-*-EJ!625GvUyC#U5J03^sy%t7eHOXD+
zVO03fqP{70Mi56`{jRkC5kc2PGlgk&D%3XZ6=>W?#7yR&ic-2_$aBDWOnq1n5?sxH
z_I)Gbjn^6c6HyGE=6^<S&eMaj=JeI+GeXFdddBtpX9?WEoABQ1pdKJ^i7vmEFovqd
zKdg3>!Y7-2AJ|d#7=9p!bMv$?PSpNwtQ(R>N<>;@IIkZ38!9VnYZbvd56(`Nv$Dwj
z<od0wX$m-Mw7<-*62;an-1I+^@+g#KRTMTrf%K#IYzA(NA$#dQ34105bdubizuZd!
z-_HJ}3s1zc#jE`9Iffr!J@(>)$Oj4xOl{MO8k0a4$+5`6?}{k+*}b=Wk^&_WEwe%L
zQh2jXlCCtag#0slLo_};;A(l$^fpi$2g~KM9!@J`tQ5D6uely%e$wXdeI>*2&Be>-
zmQ*m}bl=BQXZ66dNj_TFN)9i~Yj?D7P{Z@<9pip)^}tm(4CVLBqt1!UW*R{qFSYXv
z>6tKiipd6J8VZ;j>tpazSOZONp6I>Sz~HsC*rnw~1?1beWc`Yt;j7nsefVtj;j>ds
ze(rNcZ1Rk;9r;Vb%cUJBo`2H^%M7+XrCCZC^IYZwa~ByUaZ~828wMcM8x)Z0uZ%w{
z&*wLs*ThT-C3%y>H2AQZMm<hb!Lq!;{e}`+IC=27OsbV3kTRWm{;sNE?2#ymr{}cr
z3CHVAR4pUOxX#3pd`}hK=9&#AA8X+*on6SMYz(FziRayY)R0-)dzPg|3*E7D-B`&4
zLjTs5cro<0&sMA}J&95O+e(0_swrfzQDSPM)lof4(qTYM3){YyN_wc7!L_UQ`B~r8
zG2raGSHwe_*v|DV+FrpN$c3xJ%{m%rmeKX}T__p9#JifX@moMT^fmi?YG5*vmQHge
z;eVB6-_GwApz&}rD{G$y_D4SstoW;rwp9WPRc-*TmQ6;cwi@^$Xx^bYL=7W$ZrUkb
z3b4)@K!*()DE{hHXKkMfE~uWYi<kgtoiwh$QKXJl)BCy_<&|+fdq>e-NlR$6-m}p`
zP8~zrs%`i9D5686Qqc}$OV}0~(j^zIhWTFSnckPlqx9d$k(u_E@VQ%m>T!!I%13F^
zYZhgYi??0T%+3<Db*c8wvntpysdL1Xkr(oJ4~)c8Ex}G<y=W)D3NkI!m)pM<L&N({
zD{I1*V51mh63^gPPg=qllbi^$Tn?m%GTuq+@U%Ros)VwJ8Cvfei71k*+}>ReU@a4P
zIDw>yh3Q|JdU6OjNC{dRI0evf>{?WhwgN8idhbQd<-=+wdiic$fGwPUUEd7kF;I%N
zK0cirNB9C~-n_DakNYlu=}nTwIsrq^4RV}}c~A|0p>F}U1-dTZ9!Vq7?X<ccnH}|m
zsyF^iH;3>-&F#7yq%ip0-NT;MY?!%WK==3pgZql+v*U*)aN9L&C8K;+bZho$!L1CA
zT+e>D`@0yL7dOV0PO~s_Sv;RnjVX}){soD}iDIM8)>6S#7L*8iU^2vS3VjpZ`ZJay
zIN~h3(h<#qdm<7mqJm7|mYh>8MOGLqs#soI-e$qgth`66-x!0cjZo-a35HLeJenmT
zz=~{?vsZo?8Uv?>!1}Bn5uM!{<S92<G4;xs)r&<&U_{PwS3V+$8^%AX7VcxiU9Q#x
zuLO)>(7@x__GSWBoL+faWV-?H<kN31oHYaq7Ft3Wg@A28YUR&6vZL{+`#;r18vL{<
zY3Yv?z+L|Pg_4eO;O#fFrHMf_;9&{kS9!sYN6$so4AyaCP50|0o1X@7W0*C(+J+xv
zU4&MB1iA5dVS{B@kO8nI1{^sy!-s9%8_SxKcyPAxmW1P?J|yqrbxmpK!}4F+&U}h|
zc+J@Q{a6fx7k9V&26gjcs8-Q-LLWcAaq)!^qCRAL#E;xw<HJ+=dkto{67VoVH%6z7
z3O>?VDJt9f(W?Dk-8zFC=d6>nU973F<Gp6y`a6Csc(ulpv5km?DcLruuX-SM-#@tE
zi~#o8pBTP(R0x$=c218Z>VaNeKJR-q0y35Ql!aysGdQr>c%8=Z+f<2!#G3>x$}C&`
z^HBuvSBTYqV(4vcP{-6CiXc9C`%-+jju>t}sWHD;LIKYy<|F^T6GU%sCQ@sTILbQd
z@VxV*fKRFX-j-wrkIe4O=*miBe}WoKLZ1S5hqaSxcM4%1tD4T``%*Y(rv30F7X?}s
zwH;3x3!|lr!QP7jGFbLlHKzKzE)1%8BnRn;psc8X;6<7oRxc}^y3?ZzXIYNg|1%NA
zy=CDK9WKkG<-e5!0nc=S_kf-G@!ewR5%0NGB3S{$%<jrBx9LJ->N2ifXXN=?m4s4;
zZ#>QP>->dxx-jizWmGdNf$w8DeAud#P$l^)%hm;52>)-9>SZT|vqvbo9WRx!5QpTd
zl_{|GN7wsvbZN|-R$FBKt%4`-b?jU|NC9>`&AX0UWU(nVtWiit4aJvsKDzRN0{#NK
zwLGTfurFbFIL|>HXL7aU9x3TTpU{5xT|M%+d5t?I^rQwucVFpM7U{vF+bHkX8U>sZ
zt9qN9M#9GDML8~pRIsU`EAlel-S**O=R`RpM~GkfZZk%OiDv%h^0P{~VAHjyzFZSG
z*pw10%k|-a<i|wO0A-ZB)pBZcvKCH{$dY;E4B!rII7Z&4g068@;jx>w@mpM6vw8>(
zJX*oVN?#SvOqf6Y_*on69b+Yi8Tr~)B&OejPYvaZmv60@Y{USMgwFygM(}dS3BR&;
z3|*dI5YpMT5v@A5u3xA%h5+dskLj1xk^HdHd);s&#!kFW;QnX=9{D;#4I~Y0c(r||
zvr8MT-QQh4!D<FVR>AK++}6N|q=Mc+ac%r4>^V20Y7WvFfttfSB&?U|xLCsAo$npW
zO>r{|cs0NGvGgVqCT>0`e7KK{=_{9Wj>-W{4}E+1%#(yu$^B0KTS=IiH{n#D3ZUg9
z5UOrVLf;~pG>%+GzPt4H@bLuzk3ABSuQrfS_{*QeyC18f+6KCSkF6zqxn*(Z>J1HS
zqF$r7K2^r8bY6D;7)!7Sbm+gruYnxD4VLbsB6771TlSV(LTQ)F9id(7xagBx??IPG
z*)4BivdI#Xw&3dCL^Y&Jy{!M2ErU{q5!KH3E#Xl9m{&-iD&Eho?lGH^KsO`h&h%nS
zI5Cy}ukD5kUTv`>+&U+Un+#0Pw4JpCp}5PO^U2ECmKy1Bn6bad_q{%@;%o`OUOos;
z3RXg;6ZfdSH3U4KGkQgUXbA#W3s!ozD<Y8+JeFO^i=RFQb-sQH5ck_V^_r0a-ZWJS
z;?Cm4Q!}k9SE2!U!gJgS3i9ZiOq;z38*sQc&vc_EfO5%n>{A6<bRxb8Id_Q#e`g7*
z+^)2M&eqQxm&K&f{>aX+&4El9xh*e+zG@Cqb*IzzYe?cyd9%{K>NR?_d+g}z|IA@y
z;2ZU$JH=7)X;fBE;0oRRu;8YGOfyLT;wv0dA&LcFSHmY(m+00-UPoiTn}W{#!BZ15
z4Bep*`aUsTqH{QBF@+eKLgMBP8NPRguw6PrpI>;1UU(=g(&&;2_?wr$ojyv$g2E89
z;(#T3cZtqE*DuEK)#Og}yn`T?=2osnY+R-%b-!?sG&hE-`N77^n+O=)MdoU9TA`nK
z$JX&C*9eZ9KRh7zk{{JUsV3&(DxFxKL@r)8gk|coyQnQ6M*793J@@}dCsug=SANJ4
zGBY)WRhN12%!7&@tRyCU{iJGO?lldbJg?ti`JEf>PiOd_HDpGs@qwc$mNYm=%;*o`
z;zl0kf4q<Pupl)x*gv7c02-a5{9f+n!Y<MGJ0o*gad*3b*Myb<gpyx1G>mZKP&+TT
z?KB%+77!|ZRG|;N$5l=}N#(=?-R(@9cCcgOkFrIgralZQ4{XFh#`#F!taU#JHu|aW
zVXC7t0;jR}=t)kznD4?C5yXY8F^Na>OsUZK;v)G*0Vfh_j%#Kp@ZgKR-bQ?#df@Tt
zruoA;#(kM*AM$_kVyf8a(crxdU8)!3^E|?ZgL2fE$pL<Jq>F{KEmJ_pyJcjY(bp;V
zk%tMv1hl*(_U=z61<qxSj;eNYqeRIl%wH13lLrpOTsNZt&&v}O`Fb8~)U>@@f1il>
zdV8+cxGwBF_Q!xk=S3YoLI3SbLg>ocWUZ2=3zDIH8-^G>1^b5QCtXA^;M1v`X%}56
zI8fUu<{*IK_ek=^bWz+N@5xUf=z>qdd7hI82>8Hn^+|}mIP&&=dZf~?16afV>=`3(
zyS-{Se~__vI<1C;uO&KgvpVBDO_7L6(!YG3RZ5|%zM;3|Ssh5@A`2uc2w`tR>`Gmt
z3_du&Kfb|72ZW8XCu3;BSSt|_v3x-eG5oSq%T^t*`A_P>@BtAN;)!2dW$3#4MWR!X
zlMc)un7^=tG3PnclJ}qdR6yF$6#~D94um{YZV%%W$B@jAFC8S5@Z-R(pTy%jaOnHg
zw~{jwc*6bE-Kwq1_*lAwM<_=JD!J)~>jDfO?I;sHn5lyCal!3$Mqi4r-sxL5Nn^4`
zb&CGDDw2QvE%~gj3nR*&g|(+;G2(~dPCg5D96$7^)HFpGh)Et(ks9)-M{<cD&SdCW
zMk!ye00q7jIsRalSHR*H(%i)v5}r*{@yaQqKvkm}hrgU6UZ2z$t+dd@h(rIHukX@>
z373hIS`{T6?Os!@i`GK!XzkKdnpCLE>c4BIql_Y_&8wdlYh%|9$7h$t^+AzRo7!cf
zf}V-_et%0h;xO)S-y?4T`)UNtPui%Ws3O_uxw#I$D^}<7vZ6s)TH({{wraT9Hfl*X
zSqJCbgxDTM7((HQsKc_6I^H-(e%jWggS=9)C*5BdL1;Kz;-r)Y9^vy@N~Y^z0sWfM
zIYko?oW3%;XG{ar=;}6SvUTvDT3<KyoGDD_HUBe8AtAp@<;Fjobny7LQVqFLGlpNv
z<tP&U|395-q|N1x7<_1qS;D{qXm&-)+fS0wOF73dlcJ4%1tLMOi~+oh1-*HT$fz0a
z6~M;GYp$8?Mh_Tz`}5|b@wR+2o@PncT}dXPd3Zs2nS&*;ylA3|1&}dwz)`8tTOEG|
z{rnBJmf&1+v)Go6j87li{d~-=iail=Hz-V2aEVj!*^Z+m3}jM0cc4fKe|vevdg@!j
z(g3+=u3Q8CXq|Pj3|&{N?Ik^Tv4S+|6BSByb=+1m@<*gq276<T;`6py!J89bJ6P(~
zP`ZOoeZEx!H7kVVCM~RBf73L-*Ckaf>kX3(FcQInszp0baVt31xLRwuRRwFeEi2o_
z3nE|l^!J4!OR%~rwEF>%GNv9Nw*@Bg;sUpr`j;$A2$Q3B`O+0J{*`6;@Go{O%K36p
zlhN;n5J#f>Nd<)Tk&nEFEXXJ2)tx;9aP`#Ql2%Q5Jkxg2x2|TD&gyiVaD&0?j5^L3
z7?wfbfSx;fXBO$~W-Ny0jJ!k4@AR9EkwWihTg<QCouyy%lKSb8YXL$=Nxhsl66jw$
zcJ90V6g}B!=%0R{IoPf4yWmF>!{I=_6c79Fbdmcei#h`4kXrujKsrqXpVf_Dq=<Z_
zul?AbUF2v6do-IZz8(=mso2;{k9<byDV}W~&L^3I_xvPpRfixZ1#OMBof)C0eCG3u
zd}RWXhMxX0E(FwivHyPinNd19QcP}I%mnVty>G8v=0hd1h$m}9U+5GGC?Xs*hV>S)
zx?TA^Si-6qHv4UizAf7#Y`M`06izq24ol*~!s+(?Cr^yi-Jc2dRq`3ZZPS!_wuc<Z
z(LDd%_3$K}hda4c%FhsF|D&$-YOtfots0h;nrV88w!ObzI}JW9sC=yMWy6-INqt-7
zX6f?xEDS$s(cq%bewpyQtZ44~tYj1G9Q{z5=XK@`0|-bP7q)o8f)nQIUz(W~=#CfC
zAd$@gNX#BDU3plrtEc<zvdAC$CgJ8lpAdcMLDhbz)67T<kMha4TB4ilah;ExqJpk=
z-aic@GfMYlbYG2Mp;y*;WWPAX@TH{AL`n}6I->l$rf+NXHZ}Jl^D#XbZj9#?tz*J^
z_Wrg&T_&tqT>1X-upT@o>r0L_FyXLi-4dQ*#)82!TsNjE5aBC3`tJi1DqS5X`3<w+
zHH)~`#Bd6@{0IrA$uOfz>;C6$?rgZx^RrDgCk6N(+$pb$W=8KRCceng4QPE?oG6{E
z3xyBE(gxR<(Jg?+>6gHPXY<V7PUz{vujZ1s*Rxr0EoCQX*%mI`qdn|y)T0CRnmxTs
zZmigNr;Im=!h^n5ckWUd`fOWGmpP-whK^01C0QnXD8QoKO%T(8_xY|*#*{Z;k(ONZ
z<s$+}b_x3=bABTfd;G~WGG)iOn~@(Xz7mjEzWe&xS8dR5nt9zF%z<SEs?#iFB3j$0
zU5;_p2E}=SO!FR2%xR@E1ttmM#<^6>s~uVppY-9Ij|(@>TaroQoFXWtd%PE1wV>FJ
zOM1s29=xF}!cM&@iiXi*qy67B!T*8qN#Eyu=yq*1WM+>z&Ji{eK3viS>x{*E@m2vm
zcJb&{e=|vJ8%(j`w$+4x6_WSk7YVrKSWbF2NTaWzQ%IDcCj6*xSYuZv;^CPW&Bp$+
z_%*TUN!C0W<{$kL2nt~M(W+n2yIUS(Tg6S4XUP!9!%`#DEsSrkz1s9XTLJIbJSEz5
zYr@^?vRcnAqR5*Su1K3w#MJhxv$@uqaBCrv#rB67{to~E|Njh^cQ}@97{*cdUa!69
zYwyi_nkBR;6`Hau3Q<NwC4EGQLdw>l(m*|r5k*#{L_#UqWQKhHy^j01kMq8d>$-mD
zd76&dHGG>qxiwuOK`C1e|MX8kD9;rk%QQ{oW8W!|>p1v)_A064!L3*((<m`={_2Lk
zC$}q+d+240*}K)jy1LG;`m_XD9qjbS^0zV>oWvNot4afh?-hw;UY8=vD`#)LxS~Q{
z(~CB`@J$nk#~M;4zDtvLzxbv~Yp9Veg12H1W@tfHYuP%OO_tR6;NazKQ73CQ4X@7l
zY9lix#^#fm94TZII;43>lk`jbRB_r(2l^QYo}UbnCtLiQ7qgFPks9osAvQs}cwZdh
zcKewEnd;rx&MBr%c0@koEP9{^IiHf2tXW0UDyEn*@V+*w^7(sI4!Z&LS&X(dXeg5o
z@*Z^`#dJs;=O~*~v4$`%tTOQ0OC`^-J4uTl&>^{!HY#jaFvegt76*e=$ef#*BdI5K
z$WfE(E9xIjAT~Hl$8lVh96o!^zIuxe`QV|c<AVe<EGDX?xo%J+mp4*k){SeEE@7$u
z2OTZouu!Rec1n#rQQ9PZ(n*_Kn0LG7v_u0}LTku?r#fl4b@R@XYwyZPzGm>b9^fi^
zI<PTYorH68$9Sm*+0}UeFlU4%cF(Y6ZoREeDjeYSZ<SXgy|cZ8?M1CHWpHcwx3fB_
zKKCraWHXig9+$r9W2zPE&dqI4ZdN13erx-5Y*ZwVTaNxM_+y2Eh>zjktZL-@jcwNk
zwB$(HAg}gpHEV3^9LViqS0$Uf(xRGVq{)R1`otM)YZz&Gd~*FtCB=>zyzDzFN=Ak*
zTu3vqM#Daq#L^gLlBuTg`_ilcNj5Q5CJS04KYB$nj8}==JZw0=fsKdch{{&$_-qA_
zdtWyNT~Z)<BxY(0e3{AESq^u`D^~bdn31<KB}XpiJc@8xStVvo=+9TFSV1@PcG4qP
zSu(WZwQ^+AAEKIfn$x`65}Wo8nRC=hlNsWnuKy+m2!E%9ouWG|!E@Ss@mZK8=_OqK
zh9~$ru`|Cnz_|~YuF?@QyCO!;9U4n`^5_GNIfpC8#t(4yWxuLP2$L(L)Aqxj1GLiA
z-YSPF8U$XXxP6eJkb&tFm5$^PE&Ngfk1r<;4gpR6hoAD3if$oikM@qz#Iz3Xx~gG;
z44UV$z))WDNcqLR?phPHn%YYP_npmA?)7razK4sv$8zm0g=3QTJ^n_3%Xu?wFI->~
zqOy~0tG#h@!xOZ~7yBw-JU7Lquffb!?aU<8N0VyXv2j{ea%E@3v<WEpEljU`T2E^4
zzaC+`Z;Zz9>sOqIo(WQK_3#g9Fp$^A_SIB*j?ntgdJF2GF-GsTnDO)ZtHhO6o8)|*
z-?ZJ@ul}sQGlF!xcX4Cn5`l+{#))5l()`+ubpj=fplZDm!1iUHuyzlAE*$ZL)~Wll
zpB8Kg0rLmpe+p*^v(<RBfARygeW^KlG93munh_-U;`<blvhc<~y7C*X;cfEdM*{<}
zE`=m{EQ}M*56vf74tLX5thVlu$<#;gTZMl=+J=cc0xSP2HhrR9b~>}GnN=SP1@^wp
z_(eR6YrVB_s-4zW{CM^LX+4;fj87-&{ve7)5*xoXx6oQ7l2sDNbfJ8EaDz*FKQUcN
zyTEAnj;7nfI_h#n7bXg1WnNP+;q#MyL{q(nHd<mj_Nh+?{M-Dr3WU1}wal2~-Z~XD
zU!B(O84n$_9Z^qKS^Y%(3}q^t`dvb+A{a*F2edKoQ#ZQT|05wUCi+M;JA)=uxHsUM
zmo}>B)a{41wG(f1*qc`xf{8;COCjx3S{Q$}o1rG7jVRaUoV542N2I@xy=5Pv1!I>j
zTvOJqM9$V9A9sb966u`(m3-#ZLb=7GUB!XT#NYe($MuI_5Yv}poIXMmgnj>^^}pW}
zGu^&aK6aA0kn+2(!&d{J9hijqyBi6oU$^P>;%W$L=`*KGx7Bg9`2B%Lrj5iee)`Sr
z>+6YNExO4!AJkwtG3_r(*GN<hL~*Y~H4rK~rK-MMYB2HH!S!0IkqEC)E55?fOnm-f
z+_im+DqNcP>dquJ5}Z+r(`j9;#LX8P5_^(Wu;Xr|X6LT=M4WS;!XEMi@#Jouhesb3
zR;fB({9aAOZ%VZEak7Ij?>}#ErA0-^`GZ_7)y+h8=6~~p-#Ur1k=)wv7nIR3%4u4y
z+e(Dm?eLkG?;;GZJFQdfRl@D>k{zL{ZNwH^-F*rv-NfaksMt|cC3wu34V}0DKuE|w
zj@V?<OK>ztT8U>W!n=@?emuUN_;!_+xjU|pIK55m+O749_&ahz-+i@%pv;U!CyNgd
z;}q^g+m9*0aZqLJzgwL|%ayEa0w2B;BHsC@ReI&|u}su8)$21s^=7{1TRKPt(e?*&
zZ<B`s<=qul?=Qrkx+m*y6TgV6;$+H1y&Ue=n&@<9_YgFV8V*^8VWQ*TK=w;3Is9$^
zaeylPjo1^?m(CbDO00+nNFJ<`h4d`z()3Ut5zEK1Yt(Flh%A@-)N3t^>eMc-FFpfA
zJtODy6qzaF-OuMgs0}g*zkO8iir^1|m+4~cpZC)Q*O?F9mOEvTs<lGsjSUhDb|EWl
zxidrsx$~aNfHWq~n{K~8_ls~A&-48BaE?$C3pz6%B#mg}g8%vqhKZWaJ##%13&arn
zjSX3>(lCtOvv>8$D3Lo_Q)(2jMBL~kl}hZSFen#Waq8p*aaNNzzC`OEQR?0#5OGct
zJgncSwX`WBZjpKW!7Ms5s=GgtyIuk+&f2ZH<I}|7)a`foZ)G4&Za5~63P|9$a(TeM
z#u;Kl`{vM)=6Z53Lw!rFpE$e^vuzmoGDqlt&KYF2W+Jz*%w7y_5yNBptL7E5i^QNn
zc-_u;7Bc-p4!4|z81im<2GAES5iTblbq<QMlQ-+A-<8Tm(eTz+B=F=vqISUOlkX@e
z8L)ikfR(K%p1#huG_Rv0mrma}n{ttdOdYFbPU{!J*O5-~yJr~4r=QIDF3|W$nYQ6O
z9oI!*KvqwGJFuSg*=KKLq%1(XWXh<Sxr(4vfag_b7!$eegq(qv4TWsnAEw%Ax>mRI
zWp91YLfUtU6ieR}Cg03_;!3a(!Ok>>yt8iXWLz_UYoD?hX*p@@;CEC6{5M3m{L$ee
zvy1;z+q5J>I_5AOdH!lm52tm_`$8V_P)7Oo^|8|A`pWA$)|*5@B=}phAL1iZSgv;!
znaYw+ww^UD5)wnXe|ztZjRNH2yCgM70eN!X#8)6*M;wRGRlF>BqmT_skCdkb6iF4&
zT#bQ332Y8p(Yl!{OjeyRX2>>ICbwUS7#EC}Le_BF*&bOjGUfR5z{xlja)fyxL~=<Q
z)wk~%Mt_nZAD*Ls611vDZep!{u@WYWZ?sDjdIzP+M9DuAeDRuOxu=cE%^mW%YW6$k
z<cthS`||39l!!LDIk5PLaH1k=>Pp)LvgJtcM|Dis{dLH7TAj+zt*HoqvD#vBM1d5}
zy^wmiLYF-8VVvXMNj3Bg*o!-vDUlVn)m_$edgS&I?c1h8T3{Ghc<CiYC7Ew&JM?oI
zkc?aZ8VZ=|;LtzOVjV_RGQ}iu*5r=?d1K(sd{vGf=(C+y{_9sG|0Z88ITCM3x-5Ni
zGTUs3$L^!O#km^fUE$arj4g(w?QxgBEvhEiqa$6XC9OqX=BV*KlVwO6O~USrvN<^E
zd%UAtw8*@^kLeGl4M;8RB!(agaQj4-{El7PWaU9-uU}RAq)$U<6MdW|9u?}p8Gfiu
z&MX)xIrHd|ZHC!43_q+O7|P>s*rH9g*?36lk7|=Y8S|pYIBl>f#$^2Ti8d+Dcv>^G
zM}u@J3>%tXvcYEY6RjM3waJ36`rrTjsiaxl*u8}uTWrvK)$d-fMUEHgSw8wGN3xJU
zyRI|Zp=R~G6Zf(vSr_}8vE->Z$@O6IkAt)wYV9U|b8~5sueTP_xKHqrIW3uPPnT`s
z6W*?D^;wmaWqf%2eGmhwp?@OgRjw^w+I9|=9HWv?i;Lnd96E@W*WYNrlx&f5plnF&
zw<4)9v;Jwg?=0=pO*7-fcpDr%;x`ntOP<tXk?q{+$_Rr~1@ra4tg*2n@0DGn49Wc3
z;K{R8PS^)1gvJ?LqhS1g68}9(l85=x$+2Eu@GkzBTX@w9CO_XaTpbc2C6$VQuj3T}
z#~0bOwgF36550ZaeNvE24}P^l_?jT-4254#Sz6+Tt?b3STY1U*u}e}@VHBLJ^eRg&
z0-FBLGMUn`ldO6xMpsuTNZl#)a)$&k!gAJAnq@s{qae|HRYwRu%Ll?l^k^u4PG#`*
zSt58i=ezc<)s^<jPF;irG{P&9vpPYT-e+dH!y|+;O@rWQcXI>?Tqrm`*-6wrkUi4f
zL%}5z|6QSRW*8!`9(q;XNJ}J#=S1#NF!Ih(_sd&TSf4VF?)Cpgi}0bECi+oee^z!u
zm(LUvWPRdekv}xK*HMS{K*7QM{a4M8n&3cV27O5RBJIs~`U~=M6x=SnXZ@|t7%wW1
z8QDKxrR~;TT9y)_AR{ftQAf)d`R|RDF2pgQNcpK&t2_n4PkzWn+%<xNB&&N810#AR
z|MYQeq+p-DMzP+Se`9#{a-_zV8S9=8H1k}bpt(Y#YAnkTTeEvqUwW`Ya`4%=yIm9n
zJg{FlsA33W>&VnbS9Z*#8&~Mt3qh1e=#_7!0Vr07L!(VNA=%d!x%xo}PMgzs|2i9>
zKOr#fF&j6Yt1o?I3lRnrYsPP(d3{{+k@7S1;(_73si&2`2o|56k{Zm?N0i;2%Re^q
z;&KGt=@3p)l=+^XNZzUsE35436)GQQK1R75UKNFWTVel+H6Q3l9p@S4<j4EDp^hRp
zaePW2UEkiIhn>p{bxm{pSk4GL)S@8)J8AZP3dwqKPFiV-`YC{+poMo@zLF4lcg6Lm
zmmX>)552$FD~RgA?AqnmQurxUY@K7LhtCIeR#W;Ycz&{=CE<oNY)l=US2XmH^Fnf4
z_?QrScC~~{u5nj5tiUHzRu6>a{c24n5is^>PFhRIqLs0T!E&w6Q&-R9q$&!nwx<XB
z#$_S7|D8+0+C5Fex;LcU#K6?Q`0mP@Z#a7El5NIDJzT%f?wNH<9Ct=8rAFn-gYM7E
z`k~``*eqc%?)g&!p9*-B@5LzKz$?{4#{xZUV-b`oFq1;#ocWK#UW&MsZeSBOp@(-H
zmi-epOT)YEfJW5@C3JXDc$qioBfhmdnt7cJ4BWCqOk|Xyd^L8#{gFO~rkU<0mdhaf
zSD@YJNoCw0w7c?D*#Pqsv_>*W7Gk@m)@wedqPB5M(8OZ{a7b2%w5!Qsbl5ZD_<j`x
zzF%CI?qmpw!zMkizOVV6#w_B}oC@w;J^rS7-VkBS#=c4^@~FAALj}iFksW`bL#f0F
z<$)#9ftCswnaD~Fd!vfmEdIYrPa5OU-adx60}A-{wo}o6Mir{&`SycWCWt$A!cRFw
z5z~Dy5=Q4$k)oe1oiAhx+WLbr=av+q`{dum%lE3dryIrOJYfol*V-Ff{FFe7n`Jd0
zSH*_B?Yny3m|^d0r=Qwym2htBEr-nSDkwY1<^MIs9Iw;^97Nfb;X8G{*-lXfjW2J<
zb-7tUc#mt&QC($xRS)6IGo`|vtNfl9g@(xQl}49o%Gf)+bY!ctG7?x^LINvkIC1Uz
z!z2x5bUQe*9+_4Ick$m*9YtVQ{aq0^I%T|`bXv8_RzS-_t;Ev<z*$DszOXVS9JC}t
z<jv(V5q;mfG9IvTOFLz~MF~TdUyF;HWl?;Sd4PNbl-Y6c5-p1O=Si;jbe943W()np
zDnL}eD=*$y5p$zzqwj~L;F6tZ-unh%E&H{vEnWfjJ$?HsHP`y+$jArwS3ppyywluA
zdAy+VNLOTt!ai<GuUP?L>sOw6hg%-vtqr2P%!E;()^GUWGO#n&zwIpK&@a`P9K=Tf
z$Cj>*FFXKuj{0;3KUt)cb*%^F1u*=Ft+7@E7^cp!{7aUBvDo#mk|+5vyWivb(Qz82
zjx~Q*sFKFE=yHQ1dS0BFl#$FoNyE(&CY8oMDOm3)9d1kE#&qEAqYtJnuwLhLmZPI2
zN-x+KQZhJkzb^7+hK~j6s_rCxeJhSqs?5PIE)JNmzdY*PYmSa+OO<!7Vi0vK$Zz}3
zhRKITcl@@PW9PAa?Ys1%P}>x7b^|{f%#P%}Fd@uvZTmZHuNH<>jF)=M4OVm;Rp0H=
zFvHub1x>XKA>3?f-KD#>7X|Kw$CzcABDB}fnJ$TfFjKkZIA2zLpJmMv;Wb5>J{Poe
z1aUG|RU+{*D{`DKE^uEo!On-83-zr6NIUd!OhkhX>ltk9vzCl;t>%ruC1C-Ssu*ql
z`k4*JO_^TWr;M?%|D@J(7(evRh%f{{WJj)fMy}Mf5p-OP!sF-p;Jf2eq)Raeii}nK
zp9dPjCHINL^=o`MobURy@;xWIMjW&(*5=M<gViHjGd_H)Y){JO;YQlwz`~hGLkLwK
zW*=wZ!?qKHhuckfkYOv4A;M{hq2Ub^t$n<h%XwWBy~2Y8v%T7*nFe6<C^NxFUhH}3
zdETg%7f%x8W*_JqAZx0nD&re3PPcHxu|MI1nicPZoHl*z-CdvLzRHUd>soKKJbuum
zB<96}^l>y}9W$pMA1p0-inWRauv|9q!BbQpza|Ir?a%UIqeH%e7a<5azCNM;dOdt7
zjg@Zv!iVsE-cx};DUb`F?VSwQ1Mlr&Wj9BDXbtl9{FD-g=X-%ZW<x#Px?md9+s2O%
z0nVH|{X`(Ua*)hf)P(|*wTOkU00QEk#TvaAMfJjm4LfUf;UQcz9V{#e*WGTm(=>7X
zrJ5dloT>|%NH+JYU4pQ>`*zQxwLD|;u1CxFq%JxRt!s>UNCBf+xBk9EQfOxsTrt_J
z3(>TR@Xe`0xZ1#!yWxs7{`-5dc-&DJ-+bsl4<!kMH*-bY*hdCaBhqCDH|ZiZN5@7k
zM+AGge6>1u$YPF63Xk5Yi|4DsUJvU<A$o;3RK!*ey*HOO!%r8%<}M#t{)r*2j!Y~x
zlZVl?Ykzv8F0L>MEgrLzzz5;+H)Tc&=wr;Sk9(_&p9~UjTCyb3QC2rNX`l#BmZd@#
zZarM$;SAcnUK%D>W;3Jplu*mD+%W2?2m8OX=1GJ!Tr2(V&a1EGaHX3$Gp%c!s*W9Z
zi;{ueQTaQzQdF3K=sK70qz}eTx=q@)vasx`J5;?+1#c-s8*RSo<L8TnOg#=c$nFp<
z)$LS)t$FHLQKSJ1DiWG>+vPCub0%RhK^3DaEfqF;hH&b;HFq~v9+%UaLR;0<a5_W!
z@93f-E+u!-XSpcgbpOgkOP(46c*D$lnvL*lVr+JfLlK><)w926)zBCpX_{7I45fya
z2-D|^$YBaRoGYk~`~P&Drf-=*mMgpZ<2EIHzT3CzL$406|E8K5u9-qou=Bh^mlEy?
zh;j{=siC{(#)@5}8H%gVRpr_%L+16Lx53(KVA-TY5dP-aW!FWa+)>89KJ5*=PO3ue
zU;T{24htNUE>OwqQpQwoj`N==6{JvVN>o&6s8Sd!mzq(AmfckH*S%D<1-tDb#%NI4
z@9xPyt_)d%U8`h`Gi?WJ10Fd7+hlD0-q$IEGiWEntDB10)AEL~;09o(s9;?Zp^O8<
zOtGmP3UFm=ZuV<h^RXJ|_$MjKxWnOb?7|5-n9EZBYRv)1-%*P0T~~s?;kBUNHW^gM
z+dr@1vc%;)Grs&OMQmPXON%y?#^FuBiTy&B5YOiiK4qeaAKcbzsV)+5N_80+=dr|9
zy0`ty#}x2jkoXtsEs8+as6DC6K)?O7`G7T!hr8Q2hdmJjtA@;;wr=3hpi4C0V>zT7
zM<i3s1+fs~BVt|xSkAa<h}6rXOC>n)8aqD>#7<jW2?v7bdPl;$WN?(ppj%6Z7jkYP
z*Z0wY-=i|d-$tczn$G=p;Sv|_W_7W|{-xn#Q04E)wZ1Jsuxfe7f&+!V`_At6r{N7h
z`^*+QNsRhc*R8H&!?S_H6L-5TaPeh|pmT~iF0W{8xoE|LA7}Mt<18&;$?@q*<FY7j
zIBMK{H^GGMv!lubdFIeL!gn?Cj0k4&Gk%7S3CY6ZGg9p4aQ90MA%uhx!av}!$(Iq|
z<Quy}kC~x?p`N*{g@Tfeu3ky<jQFY%<~q<}3c8u@P_tY?==)U*9Fb#0g1vjBq?suO
zwYKtS-4p;d>W%1T4@UG@Q=h%bHNhlR{OjvNe%Q*U?;CGrggn1~))qb!#QtE<Q~%6|
zbn&LKl@m<Z;38Npdd?UrXJke!<@gZSV_>t<oEa>FtsFtKMi|wObfm`ef?uV?G)sd8
z=Z)J9Q~ivP6?!IWft?rUZY~bIwPHnlgQMoFUxp~QH*9^8&w~h#^*en+*syEUbfMr;
zLsW5lB4{5E78d2rryAJ7*{n`!88$%0v%(Z(Di7?(n#|9dapGm1?t0-M1F*Vj1*&uM
zK>k!?^SeeaP%SMqW#|mxmiz6|MP?pEO8LaanXU0fL&aJuQ6JV^gIf}Xc<`!e>u9_z
zFANec20K#qF%|V6C$V;pi7F;>T9^;6jt(5dZ}jlG<y`xXU>?vL(U&bq@*}q9Z=>a!
zZ+|9yQlq?<2M;tJRP-1K;DT>TSU!&)B;&I`O)K(3QDW{K^8rDGO-bzyBi8n3i`h}h
z3|@Tu?}xBwCIt~Q`Y#nv>7vxtMBhM(50|O@i-QwFh_$vnqokt?{ip*+Hof7)>#M^z
zy<J40b^B8#^SlnMN1pRWgz&@nHOGO9529%QWxw@stq#KI+s`mq2q2cuAuHmDI6U(9
z8;+&x;EVHdHC_=x7<j5JN^ncU;>hz3&u|_5n{}`K!9s!gw!GiZTBNY^Ms979rw)F4
z_Xn163ZcIelTq!`kiIo5SKy|D*m#4AWF=uNhg7?YHOOG_?b~&S4(K4Q8a_AI^xd-Y
z$eL@A1;d2#i|Ifelm{urB&3TX?n1WON{1Y3!+bI#l626@@{A(-M-0Q0TR-Lel*jr+
z%dbXj`d8|NE6;gIApB`&+m{subhFNtx-hNrMX5uxtXC2okuPpe2q_^g`d&KY8t-UL
zf1|Ij?U97|Cp#}_E5j%tWMyBCE_7s@?zk|^Ku@0WX}BE~o{}p~4p_@yZXZtBeU-ss
z=GPOG+f)##lFW4OgC5ddn@?mumqlcwv9-}=RXF6@$+?8-qi=ieE!`V(81^$yAJtQX
z_sg-}`GyAIl?m7LJ1!3nwj=Ibt7=$yzPkE~)et70XM4@<6>ui>?Jt8|b&S#Nxu!N@
z2*srv6WU^mXpl4eJs_n41&NEEPX~=qcK-VH69bAk_e++$<ERGQrNf`=3>)LS>J)2t
zx)N}m_9G@(1Dbc+rqUKn5ThDBA`N9Y#WRaPv(vy;-Az%;>}I$iv4QbVlQN7WugUgx
zsN-B~u<3nCb8MzRm#+ybK37`Hl2YoZJr}KXT*U$wOA<k%NmRT~d33K(Sq<-IR5@Fe
zY1o`Nlz5|tit)+pxMzP<@L1*Y%2QS#!e}1bTBulkkf~R3iHchtUsW^%0h76nlJsR%
zuy9SfFO4aIpY6HJ_C~<GkJ<IuNh;XR<%;HLD}t+^KR}D$65jS_C*ruMsM(S+BIF^D
zkFPvS;x<~MhOyAY>!LD7Hz_j7o|lE{?Z+j*d@P}ma>b9YM+q-?x~!uXNuwwxhztv}
z1oO6I{ecuEOlut-n|v*SeyxaI@}ZVsX$+m?UCSMdn;$tGbrr?IvvGp<M=a5@82+n!
zqXNEkW~9&S2w`v{g8I<f66G0B_x#u-kAQz&rKv6g7$0dD+b(DcpG=`}4I4RZk-ekC
z(#Q*OfoDz|dw|JDPkhcAul09VGIM|;H`w35vr10~eD2H|X==)Vso?70JU4bUO}=o~
z+7585{uGy^N<%f>Ds4`m1qzDB$E()^-S+Vu&d!pk7quV!n9GRQrVVd1kJ9j}hAxKL
zUmS694v99|>%gyLQLSIK#u2rM`4?-sD9ht@(N9qZ7<jc`aTm4#ed%qBr^CXyR9Bod
zww@kp8;{An2{6Z=9liCAE<&jH_{`C`jSe2iHVwX9%bR}c#-Ypof^d7=&wKdyDy{j<
zvu`v>Gth<UH=h4b0K(OByFb^g(l*+C9Th!o3a^p|9=3h_U@yoYW#^_tU-amko=y|A
zmjBpfwuui{#9|!Q1<@hDb2)g@&;%Xtx{JMc^Md<ml&c~WJye*2_;PL=LuR>5I^!Y_
z;whtrQq}aB&u1*sVl>8SYq||bv$?^X^z&|aHUsiMJ}V<n7=e4x;8yQ(E|^YNoC#R_
zhyMWp0RR6Cmv=msZy3hyy;t^L=ioTUvDbSUiPDtSBI-vfN{Whz2#L%}p@Bq2k&1L)
z4I>pz(v-?7Gkg8~`~2~I?)UTF&-J~&C!aW~9sFU23tJv%i-Ze<^SkY{$vQ3w#Xqsx
z<!Od8Z~fQ1ZVTbpckf;C<J>q>zVhweHd7>gOO}jO62kLV-TX->UL+-rB_3E~isu76
zFVEZ;#F4+k(Z6r=!F~6{>xXS7=<>DBZ96Uqg^r-tNu~n0;qW)1+|vZt+nUF94hf>T
z`?AE<_kxg~A6gmQZH)BMon;|eg2>^Xs@-))7`jHU-m8TfWBgLlQJ+tODDh~EJRB$r
zRSgTX8Gd7&%d@VZb`gT-8(r?Maxt9z&QzxtF=3H4bpF&gAt=imaalhU2fz0oR~{!O
z+Fa|dmR%4=|7|_%xK0T)?40d;{>KPHgGmR?j)~y5RUSK=kQ6fbXsbS+H^PF$xnFBf
zilRB_ZaMD;X%wxKEx54S2t18p!lj$VFxM72H+oYBlFtrwrtlfz-`m8Jy}aUh`XP8+
zQcV`ItTm4;TNv<L<T~TgC=QpXuS%si<nSQB|KExn2BZ_?*gs#8!0UZK<=?GWzy()t
z<KQ3$G+NEOV&f&D9AV~qOk4>Y%tBVjI5TkJHsjid6H*{Kvr1O~QO1gypX_@W3}h@;
zlD@gph+x|*=dfQDk+V^It+W}~8tovP-ynlMCIZG2ht<I0?NBSN%Yb>N)4oxDSy;C;
zXSAiMqkk`@+18u^xyL1z=Xb~<=ww*e>}?HbeUP%3_F^FGu5^Cp2YK9ixy(-En<hT(
zUwvLAi2+rmpxv21il`r&67-hVM#AdDCKWFj7}j{u`(r@~PRXj%GwXHW6r0NyuW5wh
zO$BFMDplZcB|$7FT^EN|TE&ZG7$JAnPNncVRSexRDtpmN!RMQz%@s0C$k(2IdEvSm
z5<Vo~wByyouOcU$t7Jm&Th)4xi|Tk#aLxEMLmyK-XEM(3GDdD?O49C34SXouHAt*5
zz(39IQ-T&IcvAfHmUN0H(tZjG%@Q=kMP7@$sAdYEi&bNDv06Agtn%rKgdqmIj2g7m
z&CqswLCY*m8{zF&bZ_4^#PM<`!Q<xUI3e-)%eu`v$U9u3^j?&X1-+8go!c!iWAHiM
zkEx5ZZkIDYYS3|Ezsx1KbCx(DNN!|K>Z13<9Sb!{I^6fkE@rn|p~ZFR^{&elBs*>1
z^JVG&ZTg`ZKC(8r@|<J;bA2jotTH@aj?v&*uX%yr%@&2HR05;3sL*HJ53KxdfTsn@
z8$zQAth`y^vGW}jfpry9T`~ILOgK)fT?xoUbkN-UsHpuN{&w4ED!z36`Sh>>*l}pg
z(f>6Sxv`}U*$cW*>_5#DLAL|)u2u-9P|;RqJeNPNjjrDz*1O{E;AmAmzFeM)kU{O{
zm9I6yY!cF&eqx6rBkNz0$0%6aUwv-zvN{evlAB5$u*2@p%5J+K>LT*&s7+3|Dmwl5
zze$?2Lw(58=B^GM^r<;o+$I$fxNB5dbIK02H|ljGKWZaN(vRa<n=G<ocXBv=x5H6c
z{)DwpwXm~7=*I+I8j(L7``6sFgCEDI!gB?h*nR)U(UL)NT-~Sg?Mt*BTn9HxgzndX
zYlqsru$l-CRX<iOu(pH1^q2k|LLJHtFWGb${Gjny?a&wo1ZoAQjYZWUwC>KSWBl9@
zxgJpY_##lRydylXSp`y|F}q(CutPz1|A%Bpz<Epa4zENd4AQ6rS}pU$j5_6h$QuIX
z<i4;9Uj^`eI=>K?IZgE4$@>*3OCa|8_9JUO<*-0ljs=HJ5cRv7eTc2L2o}21m=>}O
zA3nCbUUvCMFv#PQH?G*g{=mImm&>GK-*>qtba<3V(LZr$vd<be+w+Dim-2{xMJ0c~
z^C-c4Mm}D|*cx?zH+ZRKO5loyfRm5uC~?hX<BFW)RydfScIm9GI9etd#~TYqi8>z)
z&%Ln(KY1*e5D`OW*So~}kTK$iZ>dG1t|fBkbffFoMR4`HwNrT3KO!mM!=i7j1yUZY
z+BZlMLWZZyDgVWB!pq^qri<Ur@yoJkh?On?tCIfpd_|MQ`YPTt_73LY7fQ6LHsJ?X
zj<9il<TP<c)q~hrYKBcV%<?r7eArBtvVIahODJ55(0?UuhQ?st%L<yjc%LPpWKcR!
z3_i1+DT_Bn7e&{wGk^!`ch|UWpI#)2w@s<`Pn+O`NM>GaCpX%|{FYmqvLob5?&g!B
zCWw3gcJ;=?+=yS*HPCyU11^Vt*TfGQV{XAy<f|PwBJ2{ro%qfP)?TByfqhGSIqi6u
z(})|ZIy~Gqx^bh5^Ud&+2`1iJwXv}|bL0417N@{x9wg3gm{K{;M9j-+T3{?UUisHN
ztB&MD++3~1GBGB&FMdv-eCI}s-+|0JGXdOsu~EJ0su5beynK>;c~D{<mC-CJglMk$
z!<(#)z;VoHTAh;@lpPK6&v-?^`Y%9q@goB&H%AwLHu7RyM-+dMxEOA|3i&n?$$;fS
zw-k|bJ`59+@|s5CDDwG}d{m2p9G8K+dJp*F_o^ZLRe%ImR;Mt=-qO)x<a|ZEM*x+~
z&N$O5N$k>Dl}0Agk?j3x{G){s9+g=n7|BV)%zcB;Hb*-4%VYnSJHpVp_hr+Cb25;<
zb(w1`FCA|*bobqK69w1vJXL#RSy*lPukU%GA$<P|jB%%l;V!9B*!@=y!|Fv<5w3=~
zQCo9kI7u8`Uar5EH7Y=zeX=&0*AU(EWh&>ExJD4>z1H<gAlRk)ggR*8<G&xt@k|m5
zV`D9wzo;N<DwfxSq%CpQp@q&Xjcu~6CpksbFnU&yD*S|oq{RfPgue{VXB`PYXRD4g
z+2g(j-85K#Wc@zyaT$)^-5op^tpTDV?K+R9Avh{Oz5E*_hjZHJ?wKv+RoJroS1pqa
zair!1^Z7CbT=TiKzJ#ug>hiR6-hy;2F0ZBbeN)8C=&7>K3p(Jwf6?1HkdEAm#T)sL
zmC+P1MfDM-pqek{Lc$k1hQdF8TkfL@3)hP`@)M}o>uB~;cP|4~qCU9~0@ZM%w6Xm5
ztR6(B{(V)HGs3}|1NXQi)p74IEs6**K&1KX4UTRjY^&e-wkJmeQV-u3?pgYNLuRnS
zObZiIjhyyD)tZo7WyAAh&JYbJ5@!S68N;UOY2}*_S`aAR6Ml5*zm`3r72cUOf!(9H
zqH|-~Sa3XbkZX#Llj$6B^Mo0S_I)l6;MGN}K~&EPCkC=FPJiyrGl%}>JNFnu6cpXP
zUw(CIZXWd<)^;&V>`r%$cb}yox{I@_GJt`dkwWIFXRM&zsovZ9l8U$~#Uckf1DATD
zuKkd<LH~crNzWqnz!$ddK*du!{*$e+3(B#Dg=3S>5q5p_`+dD$q)EpaTYFsP1XMUv
z=V%`K&>gFE>n)^V(|ftU<+lJoZxyXAhx8%FitBJI)`zWi<WYqccKGSK?Yy#&K9Z(Q
zyK1&j@!Z>EU~7{d1`~7)Vnp>3+rI6+*C!pkeew1*x1l|H3hN%8Pt=3$3T4+RGc644
z<a#t6VUJ&f;<ZUj^HW3x^9_>Jv8U;Z^VuSMu-^WDPjpkzvoVxMc`5HbEo;56-nGZ)
zCxy>6+jQ|he9udd8hI>^Z#^ehW{<!(($vzW{dj5bu=tHj2K@GcYrZGiBf)!XX4`6Q
zg#Ikwrp*$^A##7lz76&`Hn_#>_Mj$S?%FcQIVgxtTEfCHg7(O)Ii$ZVK?Cx+j2+K*
zaD&F%`J;M?Ywt3$qxBV*I2yTwi}rYtn65VJ3EyOg-jU50?W<HV^S%4Wx?2-O64#M0
z4<`UmmB{JsH<fY7>;9Q*t%Jl5XGcBmG$2l<zbaE$5kFKUm5xSt6KgMKd$?%<hKdF5
ztTZ`z6xe=vBlv-6U0>e0>kt7Ohl-+`=F9L*Xa9)V&=X>cQNHH#Ra@Af((yPZC=Gb8
zqg-h&APP(?iU!}>;IWG$y_;VWIR%`p%Rd*g%1oT)g7|Fkbv&$atFbs7pIzIU+<Kek
zQj_KR*v=X;mtIlFr9`o=>D2kupbA!4N|uOMj1|6?zIBz95klRw6{!l&08T)$zn56I
z*MB^{@u?*YHz$eZ1@c4w6kq6xhuK8ytMr^&VM}lu9HV;j@nT*2>dtqZ_lUC9As-{Q
zSYXRT%BEApToADq);iqujIdqP*tV;}9GOS=ta4D~1fi-p*`D4;a7<0y+QDxQyHoy8
z!V}o>J)%JI<dqMEQ0i+Tn*cMIKGZp6LS@5vyLV01^k>4|t>I5Yvng^p?howeULX!g
z7v*%<cM;e0i&Hx2rkKoeUBR<#j_??n^<6Ljiy&p%cdoi<0vXSHzhA}75EjGp@rH4|
z#DwtK!Z|?`sIA<&gK9NR{C@I#SY~d3XkMMS>SeSsPSE`xSP)ahmB&8&?<Wiqo7V|Z
zuS_zL%E#9JGhvdr8TrlEHgkkH7x$;m{{Ry~F-7+}g(it|cGXu3`^E@~;3lbsQ6rqL
zi8oArF+upM*S{X$GEQ(|;I8i>BNzntouWUUAQ(=gN7iheB<2LJ<sF-6p!#Cy=hFTO
zf?J-ODSL35$XEzovnG*&<WqLpIS!M=?iX>7N=s%5uO8XiW|^h_-*;2Ov}KZrxa8OJ
zaBiOPr;WZCDp}%1!qflu#!M0E-K;{o728t2EO&lvyVQU0(CTXarU}<eA%k(J*)f%t
zQ<z?1h<1zSWRuVt;>dh)H!;P5R6D=>ssl8n9MLU}E}tcoRi(U+9pl17`l%2v0~+qJ
z-wSI|m?y0KJG@ghc<@T`uW4|&0V)-gI^N!2AZk1rX_NiD@H@cuprlzJ&Ed*7_Byg*
zbEIK*R0lt@r8HapH1!cqRSj`p!H&857xU`Fg0MVX#v!_t7vUTKq&NM?fpcFBBJ@l}
z(D_%j%4(d7mVd7-Zx?dngr$H>s;3xY@0?^iw}*;qhbS{^PHqgH?lSmVE)H`(_2}tA
z3jR}ne!k-b5BQFKi%rm$go}IZs9zKX_x^U)o9gqS&iJj4`XecPsY~S%lB0lM(|wQA
z96z+1^sa3?EQ8alYUn{vbWvO!V9lIb@@T#e_mNGq$hJs$WO+;%^u2+SJ{lq*sz*<p
z+$j$aA$F0}Rl4})w)4gfh+*ir+Qy0tiqHu*d;Qix7fK0^B7Mo?Xiwj}^U<O*l1)^l
zdUbShP^0;a!>9zb->}_oZB_;Q98a{WjV{JAh}$_4Qc%vbJmRLWjt#plC%yLT!gAEu
zrcgx&LoHu77G2YTf6$iY3r)Ic-O#v=y>A&}#Yn0Dth8_@t?j9l3k6|Mw^>ZSmqSHF
zPIJI-ZQNO7xY~S@f}nM`<+t`IAS1qOdvLKX685#lr+=hkp(cMYP)QkA_BTrX4yR(=
zFRY?=LJ#F@gv)EJRI$b5NL0GJJ}QK@-e$QQp!}JB#n&Z|z4+L*foV=d`OiB0kvSUj
z0!n31HmW17s(*{h64xDj{$0;LOh>0wl!b-5CVE;9o@^SSqiMuG{%Jk~C-%nl?M=|a
zK`tfhvL*&RdshY33>ks1^54j=A#JoiUC%3a(g@beZmn(Dv(zUm)IC)_by358ElNj&
z35C=q=ao{X$a$2WuU$>S?9CTO2Q!x5=UO`h;~!?Y<oYS<DW@J(4XfWqJZHki`PTR3
zRtvO&cb%^3(msZ57R;_^B6{`ri~4V@P>}UAw9(!GPJ$g@we~S_uWa9^FQ08NAn`iy
zk1`E<RO80t*G6DRuj|uq1crCY_yjNYhFAIQp7(z-5Y%LP<mOMnca^KdF=a!1?0jea
zqJoa@-4BHOmwYX9#qeCXks(47T$N8o(BS`Wg4Z|R9-GecSY%AmP+k0W*AqQGu<dyC
zZj-tLLIY(3-1gCsKC?mIBu@td4UwXrISydFjCoLX(E!`Re#N{S(SYNlwE2K<4rtAY
zDjtZ_#|72}P3|?S(6uTSv0re&?vv*ef6$iR+27)pghDwKEUJ(F8Fv8n?9PQlB};qJ
z{>O0(LlPtY24>6_2e^Jzyl`<&2Vd1CoZr0?z?qxZYKP+-VA?b`9BZbHm4^EyEAFwO
zM9IqEPul_7pK@h8c4&e-@{-V6k6~g!VE%mieR~8Inr$^pQ-{=8sj}%}J)u%R?%hw=
zL-ku|bu&v9JJz^va}@i*lH@XpSs<7E_g96S-kcI_*UhAzX&GS+4CUR}N7&(|+-1%`
z1@a&sx-2a7nPSZ-WgecZ14PzG*!mn;2JRV!UTyh#7I(cKSGp|_de|w69w~*v#;vZY
zx@@Flg>q=`2?EL4`dpcH;&}W%^;MfLJNd3p|88rREiTV|rEc0U0+Ds^eZ4E#$yk%$
znP+d>AVGTi1!pHeEQ5}n`}dihY<5vOd8pMI3;rTKg}1rUx%^;zOXJe{##5QjGgkN@
zYSZ^?lpU8ZsL0)oXD1t;UjKf_zzRW$x2~+F%@bQ^AD=1GVJDAPw;Z+EWeNY_M`3>r
zmh!x+-PNd;jpW*1DYNs21$I;HeR|%F5It@V8RDzh$nZ<oGm9t8A?rms;;!9Kus=9T
zqp}uRqY2!L@hi-6KP$pM=XMuyI>v(AXkmdxWwx)$$Tvd=cV*s6?{|c9?O*m6TNYRi
zDVmf2&6=XR@aENu)>`7VslrjAAM>o&+QmvYwwj`FgvjocsA9S8c6_OjInSE*abJ{v
zW`cTQ>!1@!tt^S!^Q9FB=2<hAR)75&Citit_x5b$N0z!34TlouStCik8a`KyQC@bR
z8LZ#MB14&NzAxulMPQbETxJaC%=Ry<?S8Rjr|g}^TozbWSN7ZAOlQJZ$CN>e_OWhL
zFUm#CFR=2u>WXSanW$1M>J_^FhjlWzIoq&rk##w0OLK3!5&DAo{v?YGv&J$iZd;yY
zBl%M24{FL9VPsE79_mI|_(VMvV#ZD;<gVxOy}|%*>*d_gfHBs81LgA+9uCsaB;Px8
zsYknLhL#_e9A^a#oZXiGkApN>r#)Hwm=30b)4TPJ6Re+x@&bHZTx8nF{Pr(iOFnX~
zX6jbr6f1Gm@R*S)H#zZ>-<tEcAvTqi&x>uHVX>Cu*<1<_+49n%?SQ%=qVt1lKDf-W
z5?)>y&KKY#SHCP-Nd(Yv<NmVowHp^$tgfAxFWu%RbNLb#%Bl>YEHkgz12&S|B<kF!
z6N04jaV`@HL4zeOQ*AnTvy;;z(z;P6g~?G$cw}#oKCE6&U4ML&gKT-6Oz_l+lJ_OY
ze?EGr2hZo<`@;FT$g`FI+6tw_N$$-V&dx4+NFDby|9hO9j2~=x%M6qt3AF>ue444K
zo7NaIk>@23O%!_hf085}-!zR0dQfq$W&Uj9dp=TyKRhRHpEP;x$Cb6GhbeI48Fs-v
z0kSTd<I@yn8TrxZnSyUF1^T+aA3i-6B2SLb*3tyzNV9c~r(E1AcyRfy`pm2dxm=nD
z36csVQ_QGqy9NbXzvO}`m15-K(`PbmoR!G0et*SPc`2x;SJ=GgkRUBa`LoxSs*t0b
zdPjD0Qn1CdN$Y#CB&iTFomZ%&M%q*CSEMLVU=h;4Uw&GO<nEtY$A3(nq`$Rzzt@d|
zQI`X`%&Riwf#u7~Hcn`e78@)EL&_=eJz&jqHCUFky7c?|&v-2|Jt6f-g7K0^4t9S_
z+9FTxIubT$uct#2`fsx6y;LN$8-GaIt4M}iezoyuw=UVUeR=<`Ha%2@Mm{aPtW0*K
z(?+|?sALlJHCM`*KK`^Eem#0rm1K52_pgf5Cqo#*WpZ9iIj*^ONa>y$xlJqbW7~Qf
zX&3Tf(3FFY<0sN<&ai2a`}eKzv=pV2-PbM)XfD#B_D7ZHn!6_1Vy|vkIY1}B*gQHQ
zt7U}tGrirFceKc2@5gCl)eN%O-LZGmK_=?uxBdPqp+o+?zTQ1J(1;AY?)8uyGREwM
z6CpzTbV=hI@&3gVM&vyE#5=<bQ~b?}{?zf9LT=9+o+|KUl0wK!*7Pz*YTZGrat=LG
zz$G{1)Nv-6x<5T}ouws2c6@B-)Yd0|o?LXfwwp;-ov9DrOS4Abhx=0Z)eT7IT(ORm
zD3kPW_>thFV~ZSTF13<D15)%Mo7R`5dFb3y+1~^Jr@$i)n`3As$7JE>o(Kl{I=ag-
z@E^d;&TnpLrIEL8o>$rLNGB~RueJX++95f4^qF8gjU;XRL$yl{$RXjs2RfqcF+tf>
zAel)c=|<A+Rr{!<LQr9ff|vt(es>v;aMH-TvCPMM^V(!`sNkuFBM!JJbT#~+z5!XX
zD$y<_RD=8$-l4MTp#zFP*{JN1(kCBsSI#{8r9!T3<Ewo3-T@K+Ro_y6LM2mn+m3~q
z%aOeQT54pTJ0PLiV@J9Jh0NCZJVzClBoFo<eKDBlfZRKRf6OoIkpIc-_IN5FNTw=E
zE`0THz$@#@U*$boWLvPzDuF<DQeJ9>RO5_2UOW-n!LP1KUg|#Gopf}Rb-lbeeQlaO
zVvGDfyKYh^Lq*J_N+sU0n5XacCCk}ktSU)N^}H&{v0;__UHNuG>T@>9%Cm#R!Jahp
z7A11e_9H&$y#5dY@$*$4Dt4&JzH5+{EKe5SeRGC0@*m;uu=l`^OF&FHXV3bGWu$EB
z)6E)u)5NPf3qy0wrQVW|UG?d_6nQI0Vz;*H9C1Nn`Iw43f$!HGW{pP0NfC3+j<v!I
zgojVphSj@lai_{!;R}~28MR#F?>n(Yf<>#oR1<Fl?;K}gMwS2>lBnuU^<N}}OnO{O
zO0BUNbL@*m8V|Y6C8=G;c#*K<RNKJTVFd;2=GFU$IY{43KPt)=h=U>#0pY?{=r}A?
z&beceb?@%?=QF+Ygh?*<Y~e~veE9Wo(Et22>jB;QtqJcuv1KrNRx-^3M<mS(xI+K2
zdTmDNLGp8if3C&*)t%;0x;fKrRyV}Dy17sNn9(f3|D=!JrDqP|`;Ju{mwH%-2x25_
z^9=DiRrJQrI5WJE+4Xul_&ZD2v(>FJf0}44J02JH-4s$)%X()N-m!`=O}=}=F-_=*
zejIpjZ;J59s#nXB>siN~bhW)wrU=*VKMS-=P0-;-(eqEpCiFJE$1mF{;&!(l7emGb
z!Y;p4PQH6eVB~BLsW?UW<g2Q%5{wc2#s1OT+&6^DmNgY8bf$=)l&I7zvrOoh+)?fn
z>m*2*$kT4VQ$)>g(TvJ4CbndHEdLe$ov3;+F(}kDMTBhRwP+hL!jymOTCN-2M8Ij~
zgd;xF#9i%Y_dbOhAt1}<#<|Mh#Q3L&EeCXFh!p8pJ#~`|+_F0S)%ao`acG6O;H>H_
zVWOx%;upg}iDD<0SLh$&V=V9V#?^C#?xReFS|J98^4#)s?1l(+mA~@}x8@1^qo<zL
zT%_aM>%D&41xAS7*$tF+%NGe%H@BEgbUJL#ux|1n9VJBmvs!m2nGM@ZS6!l|8RCj-
z*ihl*7-2jVnqG8<9Yv)a8o!^?pfs||ec;46@%o;fJW<Vo9fzI>^t01oX(-qlr87xH
zf1Oc?pXbCXp*5oJP6lYKKbtzyJw<qU6n}mm$PF2*+}^br`sgL@R8KvcA!zlIN2_Ld
z&>=~Ull-j*bCEuCqHd08-kY%8vYHR&ch27&u+zhe)cUWb-3vs)8X~$ZUjS(<=hs^n
zQ^D<=eE-@7HpHdhaId&01o^$+)*Y3k;`|Qp5!P3Br1U&0T*)nphwPm)F3A*3T<^N}
z$A%MSI=f@~pNSzQFq_X$kb?ZQ9gf-$xu7lIP`IcgfvF~e?ptSd(P?n)YsMBH-2Kn(
zr+=9w#4ECBE9trj^F90_QJoKo9DYsrHb}!?tE?;WgATY-K0Zqm7l4_CuW6O)GB|B4
zU&)oCgEQ8Nwmt?zP>a~Ds3a?gNzHcGq76Dw2(dWZc~}G+?q3hTWu<_p&ZfN;`Z`#a
zygcYclo+xU^LRK?mC#2j{(P^fgCFWHwQ-%|NIXtyz00SH9KN-%($;}wSLTLUcS%UH
z2EP3CS3`sIx`tF&9sGQ_KX`CN3YQ*gywLcl4%Gmm5{WDwl%4)DOjO9A+&8x`Ay5;!
zVNc^q*mbd~)7|J?hAiT2%=UzcYa_Pc<<|CGUFgb}J+aS~hyJQ>UTfayz$;^=dh<>S
z3?2>M<Y-dFF`mAwo0oj$mFOW6t6fy&XB_+WNkIiVz40sU)AW{n*F|{q4L#U2E~W%N
zS4Hopbrw%!3}Er6;zhEl0rGXfO|O(yN2F}o#O5$V=-#ObVG}jPw0S_;g@YRC{u@R=
zP)<h!&&55;`E<+;eQw$IO%uBYO0<m5Gq5@^u)3s+fky`#egv%7M$?A91OI}JK$+to
zJnY6q`UOfZqd^CD2H}1K+Dx=x?agM686!3#Zr>BrrM?rmsn)WZiCHdDX`M%=_#XfO
z|NjhEcR1C56t?%g_U2xDU#>mA=Ncucq)-Y;Qbr|(X!xl#G*CwNETd>hirhmA?UG%x
zLu5pm`T6%epXWU1yytV?_q^;@VY20En(%WYx9e458ZhSM%wCn5Lf~1Nzy638#MHAK
z9Mz#g{hv$m#x>^PP&VpzLR1GbPO$80Vx|FmbSSH4mnF!gJgCwa)dfDbdpF!-4S`ho
z>xIICH5^yDFsbxa7l!WN9xtmhfX8Cgn>Wq^L^4HpllJPtMUl4r)-)>YSqc`p89|47
zzw~RxnR?*X#9Tn7=|gMxr#p@=Ht@YwJKE-w9_$mIa=cB}fsZQ1RRvtOaM9>#@=dZH
z1SIC_PoLL-ZMrfenMt-#;Sr<D9;gdY+@RD~r2>OOmu<S{Y~ha0daZQ-wfZZgBy0wh
zK*{CMlRkAj_>kPopQxw}4Qe?bHf)!Lx0S^<v-)=6R(9`Ac8(@|)N+2ed#4z<vVA)e
zOR|H?B-3KPS#=myeZ0J#O8}TviH{drY#}D{UplI(L4&8Ce!~C@P-NwZ^hjIqc{tVV
z=b!>^FMnrVdOkz6+a4S66|e>6MFEpa9||0KuPvDx(MYT=mP)PMw1MX*Y7AFTDS?IU
z>4)^Z0S5b2MPQ+b4QzZ8bm#F#1!z~R3Q>Cdo1xYaAbjf@9YUGk{?tbq5Fg-H-s7>v
z@a(n873QYHiC3BQ8@`f2de^<JFNg`xhcjHg&I2_1&)a^m6a#tT4GCu3Sdeu#*O8lj
z4X*4x%L2|M5angEmyTn_v#O!t%p?M~Un~yTVl4<V{$=w0=4|MGF5<ySiZv)7dUsl8
zI}aqQ{`l5=mJN@K47Yu@wt})lvF*`4?BG>UY33ZmhSPH>G~{auHYdNfZ0lf#VRxhG
z>`iP~zsvT<)<g>^Ngn*vaD17#8umPPe4Z8E8x#`~o6X_r!!vPzm*<FO7j4P-8>}eu
zp{z`V+Z>qgTpxaBG)2U6c&xjp!HT2z^aa4#4F3L|=pf4v6E)<hS5F&QaHiF)=W>=Q
zTuxuFFVove{FVci#XuI^YX6$`*l!cKb|%0xoaqITw7fBIQkezYC7URhH=Dq^bj{Zh
zaTSa)J7VXP-^@t(53L528-uH^_Jo)HXGZ5E)_`5z%=qzVR(rjeF?cwP#ynQ&VOZU}
z?jg~`j2(mP9X9@F1bf}c+_ca^hSaGL<%AVxye4e=uX&mVtNWsPc>G2g*Iu1G$YsHT
zf_t_F3i{K)&8HxxacP2aX@<xAR0<19zE{he>oo-OyTb#Vs?&_L%bHI=h_Is3aP59?
zZ$n7D{#7-E_M6cxMQ`l9&x&%NEl-*B8^D75L~=iMj=@nZS$Xy_8ww_p%#Iv10Lp^T
z^9a?y467pL!7tA2*fi1T#5zZX)-3lrlv-f4T6WJfxp83kHt){qb5sb9_rCCfw8Uso
zJG1j>G$(%539qq}q5>A>?b#u@!r*i9cl!K^3xC*B<oF-z!}lHeKkM~Z85!fcih@o&
z=sQql>bFH7yp>WW6&^4l@3{+cd!~7@BRPDqzh4jZHhi)<)X9v-yiayGHt-|iPTl%K
zUk^s9rXG%>YyVGjbz^3uAbx8(|8VG{E+}$!pL?*64MP*dIV@I%*7D42_5aj?IZ^4<
zJMY+$S;Mkj)|iAF?5j#bJ#^rP3G29}3n$(-4ai=9Sp;o-7#mNuYQwxe>vG~87v8c;
zdsVU`ikWn+Bq1+tcr4T4`~4XY7QSTRbW9Y-+dX*Y*qj!8wz$?2RLF-F&v>d093|0d
z=b?K#nOg9CktOd|l>k<#8Yu^>Nn>ir^KuS%E!b&yGGa7J2q$uGC5>pwV&86eR%sP2
z2oW<>UiU~C-F0ecK0D>nd||1wn_COQC&E`G*+lS?)w<!V9f~+Eyt13Zr3IWiml}AE
zh+@OtGpp1zC43MjXKF;zf)lN|X2tVjSgC7%HhP+jJ30U5HG65n<x`rI+p{Hb$VNSn
z?4^vZy|uc+3@vDO+Lxo@Cxw&($0V-rDww=_)8~<cHYij?lY1Ryu%7RL--e@VNYAs|
z^pZ&jBJz(*7dy+LR>;_nF;NYCmo;#tVq6Diw>5rWJ+6TEQQaqU>NRn>k({DL(t|NE
zYSpu^ib(!*Y}@tY+Bjcey?>j9J}6UPh?(<|k<T@KH;<|=D!NWSs1u|@F|&}$ne`M5
zd8U5W=d~UdPt|nX<T3!QGcA6P<CO6-U#idEQhijt*d^|!W(e2+wEBy*s^I$alcYOd
zR2(LkeLf#V12rDUg*tgPto4#wRQgNBiB)l9lXfEr92W`wuvZ<6dk$W92{J%m#kTCC
zeI{@<?`xe=ng%*}w`9gXHo%qxtD(b!W-t_F$g^0ZiI1O0`9;1q!0`gP&dZ<7Vc-d+
zDzIJ)&9a}~Qz$UNlOeY9_p>eGl8Ee|^SRpCqPaL2X=Q*JQ)A_thpZtx@i`-8s}3$Y
zils-~q~hdN#?~tm0M-XoLlj@@Ak)XP6G<id*x$)W9~cFAnwvE@$)<~8-yC!H^623s
zrsy9Nx9Pw)9JRx4MF;Idna96*Xk+f&7;Te-4X7kF2QfX+!Js%da~*FD{84N+&C_fH
z%Eh*W&5An6_960*C`}bd_Uh^KsM<ng!hgwp&f0i6)gW-<FBzXINE{`+Y{6eN->ceA
z3nQ-{I?{4o0Xf<qH54ATg@$#n6*@RHksj|VbvQ~24Mx6v{o`i~^K$C+)@*gmnW`R0
z>lVSm$pdPpmbM^2kZ$!uN(~*^d_0IWew+=|JWgA*fee=!lig=jkh+t7mv|i;e)1^3
zv`}CJi@uNgc)BRqT02;EA$XB-o$ncMAl(LD-I=f-Fd*Z3Mj|iwr=N_BM?+S#Ep!Md
zd#75Mpop>wIW8kE?-_|#{nb47&>>@;AM3FNIn?($_n;@^BO&j>LMvIrQ|Pg<lgErS
z(%)EU|MDIrc5JiVVSN<fek8BKaWP5s&HA{>O=p5QEEQvw^_PHnxl@&0{$dzi5TFsA
zGfkW|{MR5QNC1Cr>&lgJ5|a965+<+yCh|YlYKCcB1Ao-P!Vd*Pm}ut0|2K7(__TZ3
z{id@ONb@FaT2SQ2)4p{hj<d6b{TBV}U!yF+^8+pJ&TeijI`D(n?9D83*_-LEZ<z&b
z<5Z`gooC0>Le`1@=(EJ0*a8c#5p$T{8BR8zWWgl*`I~#feiNn=4YZ5u=D^xOF@J2%
zguj-AMfXR~5PuFHjf_8R1_CN-4?ByN7>izC{>g++6NBILf*Wg0p~)%sqFdl!#<y>K
z?{4>;BHq<ruWk`Eh4#v$A<^Z(8T=_s7b<T4A`Tu958iXY1SCb9M>ijsVsNL)5DMqV
ziP+G)+zPLZVUXu&QUd8GLpoWWe>r80D6xEhq)FWvW`wuqZQ~zi__nzEXSa?JdYXOx
zvhhYx+@YBEyQGidGVna~i0u#JNEc81z!D9<hz8I5lyx(b-ri419ULN<1Hwi|18LA8
zEsQLyUl{ib<@YB&8zkO!ky}~T^zO5F#iWYUd&Zfwa~bzv4iNrD7pK{G7{aMyeQ5)p
z2F4;={wp8$0Ybuu?aTWX1NgDWx9~PgCBt%)LuW=rKk-n0F3@tD0UYBvF3H52%HX1W
z=o6CfC(LJ-!}Z&!ko?MI^NGY9LdwNFeCKQ*!LuMCdVMz)L`6?Ie$jYLyqB`yqq5jX
zU^>IodRQNrPY5?9gd%Yx&nb4hZa)#Qn4_f{st>&h6w`_CFA4tpk2nP5`-!c0Y}@o$
z_2HPGd8)*p*Te~(tf@Bn0b;&!o%|JTJ?OmDNb>#gfk0|JQ*ze;k^V^OV(|`LsN>es
z@}++!uJW%BD|#_V*xgW-PQ0uGO<7Xqxrtwh2HBpOp{^k!QfqJ>xn3I{=FyrdLv6&U
zL6%Cf(huV6!<jnMRV^5b{r!r?rjtkrG9GWcHA0-fI(D^^t_4e!g7bq9x{2lTr9(sZ
zW5nm0i&AGUX+m!I=sU7i5AkvNLdk&oI6*#rE-0c+17`eL%;t~x5?pgEFaKNji|}~8
z+b>RC0}g1hIa&|&5pL6?)>pSq5x>24c?!;`L&NuM>&pQH1iR?qa!>9waiS(_@<F#6
zm^z{<S!jsxeRWM(LE<;@Zy2kJEY%=c-(@zcW0)}c_r@=)VwNaWV?2q@Qw5(rGH;xk
zMu<DlR=VU){~>}pOYfWTtAfSh?oYP{#|Rml6I<KE=ZRCzL$5!bQ~~if>#Um$CWwj@
z<EIyHFA}HwZandrRtABR9(q~TByp(KNH<b&g~*LAl==~%3=GdB;9@;Z)J?}r-mF?B
z!m2f_l1C|UMu400wtj}N5jZbL-Odd44@Y!w22()(Q;Gfc;8`N@o}-<}Zx)zODRq$j
zO9ltdL(?y8{t(hGzlh&8Y*5qj-0@^A8Q#8O%354EPxzM^eX*?MfNwh%6eMNIa8K~(
zBjYoRg!{|&@81k?ftZNO;X_qQu*al6eqm~vus><PZ^n@qmJgmM%kN(EC4IMUZOU6E
zx}Mazou1~0`EDVx2~H*GY*RQt;=~Lw6Ps4Q9TEb`h%lLtHHxr~`x)z=Nfy{#<0fRm
zOM=D7gN3tEics$|pL=?(zATIC$cRrO(6l|s^zAxDI3-@HaHWa^Vk>PahhK_;YWhzO
zX$3_%@uRn2ZG;Ps?N}YA{FH$7XD0nDoQfcM+B9grGcQC&P6<@5lLkw#<|hiwiZEQP
zUa$X$AM&FN((S&=0&gF2H&I9tZhwA}{N%6@j6_O0HI^$tj+N|vc{4@m(*7#g%S8h2
ztsh<l?o|Tu`Tc_QGm0SMRaqO^ECLb9=kyH(DM0&A=hwy&MG#)8AK6zS29wA4%Bp@>
zhMAL3-kgb4f@{&v!du@;fYc?<v4GF2aH=J9LeYv0V|U8*GDM^y_}CR6<`H#hbFuC}
zYf6DVQ(C)4ugF4>b;h!XoEALR`N7W<rVOMF_MBzL3a~V_Y}gj81Id-7P&Ou2@H@qn
zkjSkB0Z+FUseIOh5KEDFhx^pPc=(-b!*w!j_87eMMPco3o?TUsRMCX=3W@v<EoCTV
z-@kugjd#vxRvf`LZ7>=cOW)R|0>pz4ugjwhVT6f@H~gmug3?S(%*kpX#xt@+kE6kw
zX?XtbBNb@+r7w!zHQ?dBYKrqQBe=lff466i4+~~8^}dO%-J$+Brpi=}p{reZT1nd&
z3I-y^zBgz?<WI9^^8{ny&}|%OD=`J7q!h<CH(hY$`@C;szA-pcUU776u>hTiDx0lq
z^q^^LXj#!_V`vZHir>s-4Nt{_1$>X{Ls0SE8}Ba}!Ko(pJ}EDN>tE{Zt$X$1=l*UU
zc^4Y=Z+w4o><%4tFC>KLDpH|GA$R%sJp*_M=V>}EHej9B+peZd1w+RJ8}60p!~0Wv
zPe*^Yg^a^_Qw(-0-2d@@LbpyECN@!}%+l>3P{Pnm`i?$i54LYIYFC3YMe<m+sy)20
zU2ba-)ra8=glWPTGQ8lSmKcWGLq+GG9bI>HL2x3>V{ljop1+-1IC0h<@<*3$-D%f`
zz;iMtwap}u=p?M{z3icvOVCsPwI-bYH@|P%fE`%lx2AsOvxn5w%-zum>cCS|Vj#~s
zPUtqDwJN%02hkJ9821TPh*gkQV2T-F81Hz|H6~yO?YHk}2n|snsHj<1fO&;cQV{Z{
z<+v?$INje>eO(D|IP+fe=i$J1AG+~;s|`50T==^!SsuRF+>JMV&WoaE+y~T*Y#>df
ze2Y0qLm9dHz?EJ>Jl?;4%YP|!FdHfAzosD$uk{~Xaq$wyG1AklN2>s}ukVQIdys%!
z`-S<QBMA?9cBQR544@Pjk?3)kAB;YBv}U!Cu;YY=U&}iJV!GG2aa(bMm1`}JiHHb_
z$GX-Azq5u5w?){?eVHL&`9cUNh@hlwp~&a2R`6_R=Tk}AJdqpg(G<rmf+wY;jCqzU
zVIaCW_NC_pu^97Dcwa9G>woBY{Zh4rw|4~A-M!L5@J>!93zw5np_Q`U$=d>Im<RKB
zxmPhZ+E;S#I!!`b!!3oYdFF6&o9agYhF-?b7w?#tx0A4(ytZD`W-zX$fQh0L4Bb)Z
zB|cLUuFGRP<nLex6<^z)9Tc5qh_VZ;?$RRR0}G*j$BIm0ljqGuPw@qYP4I`ZN-7EW
zr78+u5;6ss1F5$g3RW2Y{Cc`-n@A}1dUjkr+611#Kv~2n6W;6&$xt~%LdkmgKKI8M
zg5K{73F>4)&fBA}8BHYo@FZUS-Z5iXSl%mtse}#BtGPd@(iFjOE>d@u7mUCqc>~Xp
zeH{4W8}T!zPz33r)GUW{Mi7?n+^HzQg=W$n&ZB0c*xz;asg$@8WL%gwV=LoEo}uxJ
zQ$Iw}^n}JrX&DVzmYM7RZs0}QjUM2;FNP4lJg%~t24jar**$*n;iC@UE7#WiCM9%y
z1I`+PMvWR>JWc@TW#$_juS=lR+hyvjJVUT?;s|Y*6+&*2pGNFOlGt@IFePd2F8W!q
zvN3;22sx5(9=g&kg%W4wma@eSVSbU6*fJoDo1T+%ZfMFN-})EZ0>2r+`WI}>l=ij$
zcU#36C&^-{Z4bwdwLSh>S-eDU7eOvv@Av*P^5`1>@^jM#1Ms^N{LFkv6qCwSn7`L3
z;Krz%(XBxS(7F6Dr+`Hqo#KW`|J5ks=2vvhTb>5sqB$RPP+tNw^WInc-BCgw_udws
zT?R03$Wy%Yuq09rZ}f4^B4f@yKTebV2H?N9cQ-3aVXw*ZR%#9fJA%iAtfCE|Sk$%u
zHdzKQHH(u%N|kXU<*dJBi2>Mz4L7N!$l~5pM_c%7RWP`Jxc0`7!5S}xl`P4w`D(pu
zA;GPx_{QO>;YLG4=v{v_L;R5froW=Y=3i>~!H<>w#!W+Ldr>(#R;q|s*EhyJX4Alx
zCyU-eJTy4&wWa&mIVBus5_B36(M08Y-==btXz)HJq(9q-j8XE6w9VpLNcX&HRc34i
z+xxi3!s!$=@gDqA%C3!fr?WR@O&EdOZ2t3PC1so}`mdd<TN|H#T=_ix)EM^IZ~36O
zy5`USMXJqR)4^TUJ%f>HCQz;UAfd5M1q}~MvouQSB8z;AD_k{&bo&71mI77Gb!Zj%
z6RL})?w>ODUpE8w{fE10erkBa-1*g&WL;c;B723BX$~dB9e49Z)KTl@xr~x1T~yKR
zeBAKB0vPMkpVgPDqo3F@PJRVlyth5l{Y9fC1m+>jRt*i*Eh^lVa9Rh8`rE7ic36Sh
zY(%&B#Wh?~2XnL1v@w2VTJvj<HFQ4e554kI11k#n6!(W|p|{Ts)uGP>MCAVVGwIPl
z{mwCsaS2WI$ua#G;tsIRvhr2MM-ALmN|O3?K^@EcE(krY1lV5`xA}0!TAbszY4=A}
zd^xR}FT_rVusa2Ii*ya_TrP8VTEnTlP&$=^PKV{-l?uTZ>d3vNlv!Mng6yP}`1XTz
z2=?##7)e$~<2l=1?4X3P&wt!Ldxj3~k|K;LUp4$RG$XUpDv$B{zm}iH&|%olR^e-$
zD!#j=N~?C0L50T*>$+oWc}!2BVzvri>@DgfiAbW3-1a&LcRE~pvCrpQo-&T-p3pog
zA%?Wj!~jQaIwX6<z0uF0V3xkLmRJx8z3Z42zRv+{C1}Sv;>qZ?^x?s@s1ROy`*e%^
zTEF{ZTy{^yDB-<1p&Ta_KFnX|^^tXr&(H0bbXts1#N5pe(?4EvVU){-hn{2r_vE_+
z0YBx@S-RoSA`1srY?l4+Y(4>wM_G3(&&%R<u1xRYkF3aa<=+5l#Tr<mQ^$H_WpMxW
zMpsWV3tnRrE-&0>4cuI$+g6@Zc&78VnAaLFp8iMa<u0~@<{T#L-f9V~m7ecilwiWM
zIhWY({<DN*XAf_VHW$b1ECM%L>8p&R@%5F3u9om+_Cl#}mna%$7S47|{$unP{Ac@i
z&Cf<IU2_{q6G6|~h7mU9RYqlR_ug6_3%DI+8^Ab8!hX>V3G$m&#<l9EgHs31fw5TC
z&UHo@bwB<7=oi3*YK>eEE8m)dWhp<j<p|-?fnO};Qp{-nES9#}&<uKV#V8{6f+&0c
zNyx|qGgkS&i5SQ<1v@E|{HBuvn6aLnv%a4NUG<8EQu$1wHXz%bdYB&@&r#)B=UDOn
z5AyfeGbX?lsl8B^%!esIjV6Q0>==B?;$Y*NE_l}y@MMY?e+LJpW*+1~CM~;wBS($F
z(97}eP$Vy|8#1n+ZRSLW`Oa^*W{hAy{Ja#mAup!gUpWwI%Z*L0kBhy+jX+tex?V?u
z7i)=298GOJ7^e7$yNAgLbPefHpu&s#oA-*%p5w!wk7=Ej*J%)@mdeKA$&0yL44<9Z
zB7lE#oIc+s(}0;xv%#c>7qt(+l%uTi{k8+tH(RO=LDe~2DZqvgZ$A<kt5g)mB}ymX
z@tuZXKjhReImw6nCc2C78k11e@_4P+iUD}CKK{m4&yUw{UHRkWErJp*?8klX7=VM~
z&gXX30(k0ljOA3iD2}kYj(m4FfOmPLDU#iS_&%wx{Lh3KR!c3tcM>#!%Zj@-ITD2M
zYFnZr!%YIe?c({a{hkUP+X8kTauCMLwkuj0?UMMbq<CC1i3%lm8+MtAl8|zv*s?K1
z8qH_FN#VXVf9-lXb$phDr=8`WIjhRz_>n1=F)J#Nvs0!eeu`l4){6|jKXN#bb*w2u
zi3+DHxPNW>D~bt)+Qm_Q3fO%j=yiY)6|Ap)(2<rF$1lSzLvFK*Sn;r{t(%t$XEZK<
zp4%pYLSnJs;@Qb4eXKo#U5pBC<J9wJg_4+mcyQ-?3I)?fCYG#psNgMkw2n_e8bcRz
z&i>n^j5YerX>+br$nYMQcDW{lodO&YXJb^b_5_3aAf5_!MO4Rl6*-L6tB4e5s3L#%
z!hPoNRFJ&gy4?O*9#5%@@Ru^FWAtG3v2Ys$VCq_O-R7u>SzYyYF18wYu1-8ZzQzD(
z4n>K+G$l;RsJy5gqlvdDSKj1qHiT)#ThWrLWc)|*w$OT_g+^M9=2Z)ZkggpUc}$Li
zueWF0?^)B4(poZGSS<}oo*V6(kx<4Sjm@T2!#X(WViz-#VFaZ21skJCDww0Jk+}Y&
zE{cDNG2M037`k<6Gd|p^D44OM>iji5{2Id>teI~D9n%$!`{z|r-p`ci<kiQ5C7~l}
zuS}t&)OhSwml}pVsJf>|)khxxI*w<HX3(1^>a}A{N9=i2H2Dnmal-0Bu)DbhWIp72
zTd_|A{dN?y2n*<A!roKvf@dtjbLCLVQD#ld`|sqOd9)s8{UqOys<Q&#7$t>(lbYyU
zdRM|BK^Gl|Xp!d@tikE^$qJTFn%K}UEBk4y4jKw)E&B@sY`Ax@JbFnJ)AN1|88m5O
z;rGcq1vde{#SUC_TF^w<T@^ZE|1^-^JQ3H<MF*=3xz{wCH8J}Td(2B_bqwqgnC4y6
zi>{1yy}JT6@%8VAD_8qe&_W_tTjvoSGPfj8<@c@4iI%+EuZ)88T(TA_!*o#pA+nXK
zr-6-aac8<Bl+f*xrBpw&4V?0O>=(2{9Ua3sobKny<AJw?hYhC<q=ePYJlLy-72skY
zaZVbIS&6WTzjW}I3C>~Ou8O)0Io{BR;^=W<j!U794!1;<EQ$?O@P0+^dKq&OjGNeF
z99%#LenwKoESoa^>L^cVQxU?QSKn16_|YN5*IsJ$BN?-T{ohso;=y~RvqBcKbcoqs
z>?V+*gp`Fc??XNusBF;cJo*~oZ^}W}4S|X%-rByToyLNh*Q6TTLIITfg!<#o%cEV8
z;g)j}tBl8k4Eb@%wfE;dd%taz#cq#a%iS9n8K$)+3Q^$%u$33w?bnq?HhSC0@zOtx
zr|0;i<f^TKzLVk*Zy<?*_v4Pll4conU9;lH|JLT)AQ+y$Qyg2>xoI1B&oJiaE*3tw
zwStg`eRDa5qKLw(tzG-48Lu4oc00sbuHE@l23sXWaIxj;Xt>BUL+|-PZmBj4Fk<?f
zon9u4nfp^`R@Y545<lB6+*h`M<=l*<_5dNgTOB_lI5y4bGxQJL7j6z_ZUQ_lNdkC9
zJk5J{WQM`Pt+mDPy&3Qw(@Skk<3py?B1E|1EMrr^`0IBXX0VzhKWN{_gYWo`ET-1X
zG15Zp{wum<3Mp?3>R<bD<5QD|*+k@D2EX6Xo<9>N(0sh??Q>-=lsmE@IIwSlv3nwn
z|B;&sgg<F}6fez*Jil4oEy9-=9s_$gJ6;$AtFS?PyDbM^P3m7idvAr|#B=+nmyt2V
zZQsT1naPgastXbotW4OF)FWV9Y6PqC6(KsxYw=H<)(_~+xTSouC`QEyc>6N<=C`t;
zlXC<dPhdfF&Gpp^1vHR-us9M_&W3NlSqSsavSNI|^-qdwG+6l;Tz7pfzW*iX;B){x
z`o86SoKR*6;Rkru2YzA0{{a91|Njh^XFSz?7{+nP-YeP1JjQX3z0Zx5B9#%!-YP}N
zNJV8vDI;6TXpr?p=Kq&6B55F!8B$i+D<1E!&-LP7*ZsZdn|_{keIKfS-y(TSTLnzF
ze)YW)qC<xycjwY`7*N*R-iI8W%HZWT$Z|V|4q11kWeYhnA-Wo}rH!*Pbhe(9G2_{X
z&YRhEy6du_q~cqmk(*?=9l`XzzIh*7=1H~+(_usOAHBy=1{r8l)h%c5)1&yX*-yum
zI8ch&)`*op8Hg|0N+?kb$mVX!_e?8JM3=oA9y?8f!3)BJZkddzmljjIaF+`)KM|3t
zPA363{eQdWUzkvj!SRHLW85fgpe^diaS|Mwv#Qf3v!Lm|9B=MpyvP*AGdHu4fU5oN
ztK65Y$Y*9E@aY#mROY^Q^4w!37}z<+E9c6NPB$@I>jv-NQ;)nU)>8tuz^FS8*&Imy
zIqiwNS_ja#BeG(je-UBir*hb{98Ofma(_WjNC^4uCS|;NN`#@>N=?RUE_4SA&M6cV
zL1HmW_1V{nAmdO{9zVs6RBu?PPDqHM14!UUr!NuYG0h@P5-$?h=e@&sL>xWL(XQeO
zCPEMUNh^jFKGfCtw5#_z9tmB0TOF561nMmLr|-D-qt)~?QF(0=D3a4|>ETZz{G7cQ
z&s8dbtVz43E}~K>Z2$F1!Ba}WU~ZTo<tB)9PP(~UMM)z;vHJ0S^GfiE&g<b9Rbhng
z+Q#*)${^E+3DuwMNT7@}ykaXZikj-x(^dQk$mEU9v4UO_$jx;8Oiva=<g~fWgjqRs
zMU+ZA^E?@1E7RFF^2Jf}!#eFu4+WGk5dE-FOc|Qb*x4}D;n5Aac`NOUB67%)Cc7*t
zgK#Fk&3-@vab0WJkXKYf)jcn#zfGzD=J&Vv<F+KS)Ty6EDkSvT)QHx4T@_4h3u7*c
zNu$~kK`)JZ60!)&rlpcohYH;tgDVsn^tstE^nx@Q-SSp9stVD71eV6<R#viT=`dGq
z)dey#IGOXbWK<KxNx0n?wgjXyaDzTGk&KFudo#J&YXfimujCSAIb=X&O^CQkMk&vh
zB0?r~U}AN&L6S!v*+fyd612%k*LZt%;G!O+dSURdK^_gxyB3~&O+rsY8$5ZJ^<iRc
zWGhum0a41OaSGfd6h0q(cUc*rW;lyc|CRzOeRMJ1!-I$-jx0@54*`_699Jt!S3pON
zI(-~W70|q9&x=2o3_$C+o3CM@0%9sG{xvjBKs46tk1hWgKwHMipaebzRA1^n;9((y
z>c$o+3nvYMHZe0uI8q*cJp9|CJXaF6Yy8Y#O*I7DUo;;xYUB{f>5tRb3322{y|O9N
zU<i&}!~}ngfZ7`_x-kTapx_}diP#oHXq$a6dM!^Dc^dq_J>o8abW)6|BL6c4e|D@R
z-bn^k;~%|itmZ-1`YsgJ1Vh+9fOGGomqx0k<X-FR9LU;o_^8<lL!i^mIGX)X5|z_-
z9#l<bL}Bw)V%fBYFn5r7;RRU&tqE1f>uKT8gqY(_Ux@)+F}<rG*DQ{j?CM|4cWz-}
z4ifD4W(IJGwjzXLD~7~=K8Q*aSi)i~ZGP}g0T}eq9Z*{oMuFcOJ9u2DF-`Js!%N`+
zL^<ctmnQ`gZz+pCXXGFz%FIBr;{<@zHfx>U{pio(P|wPHZP@!SAOGGkqrhAJ=KGS7
zd`QfggH}N-4htUJJscdO4;@<F;fl6ANc#3Bl^<U%C5BnJmGOxlsIZkYl%C;29?uGi
zk>t0OOR~QM$lrD0=qHnqp4%J<f7m~R@VJ$7vW$Hsl2;eZ);A))cC#YZE=DfiwYQX%
zldFn{taPA#<f1d@5ECj=%^ch-GsWR2E8T;1ZCK6n6uqv)fJhgUzOH9gQ0C-c-#9m}
z1@HFhM`TRVp@^SW!xuMQu>y`SbA@CrI2)%sd0_yDvM**{J$ddWCZFisBNVL(54o(n
z2ia)Q!27mQ8rD|q&UEqV{1FZ45^{W56G?@Ny5cNYXg^_9THT&FeGT9ob+%Zr+reV)
z34ZU@{EB(m2kP?VtHYIk^?OPD+gM<OzTw#YA*@N<d8e2`9ae5oeFl|HEVe#Yp%gcc
zNk`%?r3I=1pDHmgt6&}LrEpT7m`q~#{Ed&)PpE>gzT=Tiw>3;>vvK)k`ZQJ(ttGi?
zs|qjd%&fxCu41RxZ3dH;XE1+>TfTCiR6yK4P>HE>1#=w95Sw&fzyw<92$W+gkWbz7
z%2I6w3$Ua!WB31yJ-clBR-{WA&J8|j>s(mICj5MhI4Mim)2Eq>)hCo;n)tUle`py~
z{`*>UTzCc3>?+Az|4N3N78`tZTgw=`X;#m1&NZx|aA4r8D;aDb5r{>HS1@E;bS_GG
z1M7J%Eo%0c1Wsc(|7>gpdse#TO?!9?ix7}=K5>%-5iH&>{9IQt&mU8-AKm|liLO-o
z{Mb)|Dq|Y8M5Q$>-AS9Jm4*sEEf&b(aNo<3nDZZJrPncMp|H|N7S!nQm)7~j93s>{
zHSXX&vVpPkf0G}mr$JL$XUgn`6+w`#eV6yaCiWoK-Q|t}E&60b&d8EhgmY2X*&?{M
zF*b!-UXh=4C}&>PHvX~#41au`=+pQQGj%;AFIrBI3fi6cFMN=P4Zmc)vzfbCwCs;^
zuZN6C+x^tt$3%H3aOtHn@1sJk3shG)8kmug)5f#B2Xc@=|DdgFiyEB~-1!tt&xZ2!
zpARfC%E8n*>GZc09MVrcYmslnfu6g!6D*?%@Jd>1;#L7IVm@`~jp9R2<fFTMIGvRM
zf=67VA1mxb-<y(*)&#jxH*PfI{X<!}lX%H|?HfJP{oQU?Udw~rIaSA%3}oTftGF8v
zDjCt~@Ads+;e5z>hB?{rj|?OY;otRFGoxd?XRrgF`_V41azJ;P3{d%hZ8<!{iXP9G
z%=v^JKv&%_?yg13K&A~DJ`y;Pf_02kW4#d4Z?SSP@R5NUPNP?&p`2)>oFgP!K@?@M
z>lr`tmVxU5jn40Xav`aqs{!6W#gJyr2<6^Q8F;pTa9>mq4>}Sjd5YEokD4n_nR7MC
zz*WX>y-7(vG*bPr%&t!Yy>!mF+bkpt_t~>O)7SV>cu#RMQ=k;Wd%S-;QXmUbQ~Wkt
z^8(16@1yZ3K?XGntCgGB6TtKbMSYoB2yuk0)yAyIqW0U|<V#27;9yClHZm7M8-Mw>
z48O=BQ>E@k(}2A`#uiAQIU|Ows_xvl*QkI*1=urK#uPxe|E%opLvb|huBqKqLPSnM
zSwiC(M9B4`+LyPAM+9|^!7x)2icOe*pkuL@?-nXfd3KWM^7Tx<`x<0q_)Cvp<|Y}0
zHb*l}TBT5K|Da|+mof^B_hb$lQ-)XDOv~9CGAM9Wz>Bv>8CCd+p7Zckg{pt{URuSn
z=)|eZTyuUZXat!JN=d0h+m|msM_J|2*{w7qt6>!+$@z`PfL0Se6^FdYb(Tj-w<Z!y
zIaSfR!0vHroHpe8Qt^$aDWIk2xn~D=RnXh|Skg3~E}To6)MF@AM7v5Ew1$sV5J9T<
zy){`M3^<mpr>_%Hm@N9CxU7su3toh^hye(!Jl>%ZRzeQV^d8+SWE6efXD#x80WkVg
z9dZs(LY8y>OgBnMXx*wS;QqD&_@4g9a5h{C#j##vC^aS`?`u-(H<}D#@yEsBd{rf6
z<47)Q?v_I>`xhM3?2N$gO_mHtHWA&5pKquZltF7+z3kWD83FM-$F^g&B3fOgb;vv+
zfl7Ma?!RO?2=R*<gv59Sl=bqi%z0T+ByL@weOdA#lr1MmTH@sq+f;I@3j2PPxct-C
ziRU1^Jz<(@9!EgZ0*Q4_ah#~bys^7|%m{{9@~SxB%b*%X*Ye|m^eCnN+he+9BWPv3
zqHDA!g&Os$_%=RnV&~!(GoBKS;PeqeyYGCG2!E>CMrim4)~~?VyjW)lMB^k}rWzhC
zOL8s$?)^aNU>>4((=!BuZASTHdoff+|2>~Kb&jG{5hM{`X8`a2C8)Ma3!}BOG6p2&
zHHx4(4ez>|0aSFmy`ski(7s^*`Wxr}QNHtXoi(cjcvRc%EgH{<6scSK^L|r7kN9)n
zQ)GahSM)YoiQMRXmfG?g7aF+oj&3Hzn*uz>yGIy0IZ)+hPJ^)#4wkN`G#?7qhrC%@
zE5BG4gx6dSS*pOnsOs3!g1dTfCTLu+W`Q2X(O4E`bmE}ixUE08LKn{Cg8OsYaA;bM
zzL5A72jBd1U;h2B15;E%LBdQ_i1PE^b4@24(A}~5B+ID-FCJ@*?l^5=egi|7PVCUY
zjSqz`wa2u9h!Z|p?7D;<8c10xNv45SXWq+P_qD*$M2<s)e-_grYOt3OXdt?*=~D5K
zCeR%IaX~d@9LsMzb>d_@HT(^X6kAo&1Qtnco@DhNOy8w0q$Y?OLT;n7xL6H{SDGU=
zyZ?tNc$Iets8hqkd`jKclsYJ|8^sLtBZ}<VmcSWSYS_npm}&W_I%vPT?C74{L$Uph
zDzkQ|;40VcDw+S(fJ4?MneN^Q1>ay&c#4S{C`++JHh48?z7)#m)Hy-vBHzsmQl^G5
zhpMY5QdL3h`Toy*KEEhaa!idhA=JQJJ0bIvMHRlMIwn7@o}(Pfo16PKNDT(Vc;?Mm
z6<Bv0e^T}14+YK`SG;qi0j<h)sf&y%kk+p9>~`NG<&mKE?L2B6{MWdzM&*t&#LqlP
z<ZM``d{QP$9BjeC9NVkkI{eDOzuZ(lmbFTulPm3h`-~RoKb&s4Q9uTj!q_RktLqf=
zDsye;DmpN8j4@$SC&O;TA3+z-O$u+|Ozz#$eb8ia^vhr;2{gidJp>)MDbt>X>};wG
zFz_|4k-?J$3i0A{E@yWrvELK+4VN)Ok<TRQIV}migcJ|lGogYH!O<6woni*2z;`!3
z99IHkyZnX&=c%ExOGj;;zzTLatBn3UBCy&3Q$Vc0`>VfvL<5ZU6<Y5U*&*%jb(6Ub
zMK~Vz*3N7J2Xgj#P2rUsP^sd||JYFx-Yx2F^;ywD?@mWl^e;}hUQdv!`k(-rw9akz
zefwbKj#B)T9yc@$O&0AORe<6@DIYd3GXRYQqhekK4}1xILP_nBhcT1Uh$$^5xD`l!
z;oTuVsIHi!G@O@*_9Rl>1w0GjuAL~3-{l8Vdg-TCp1u3eDd4)P!UnI$Cy(wM768Gi
z<BaUxa`5z$;|{eJ2SlEFc<bndAWWPuY!c0pgTJqI${74Op$$KER-H!#ssm{L=0?gv
zz!Nq2g1Df;>mF~3h8VmWYdh+FT@E(3t%U^?c_6=M;y>pr;y~>Z&DWM82iFR=UWQil
z!h>@i%U->Bh|_e+xz-~GEsseT&N}kLb%xl(fyR;`XdZB(TSXpnb6;(XNDF}Ty{LqH
z9a2D`d2~6rK^_>+i|CwV6NG0$FFO`pWk5sY7vHl01!yh&cO{2k7?QpnU8!LvK=rkQ
zY1?~sURwB8b;3XtR2lD3mm)c6*!*<a@D>rO_EicB?j3x;85d)^a0Q^UcZs(8r36&9
zM?cQ2iG$z1GhzGHiI6<^J9qdU3F6++*bp=%phoM!C}C0wf=*<&<KL2@IF{CdF+vhV
z$4>P;Y9ayiJO4bTNo9CMb{}c|AO%^aF~{*CWGHb6>8Msz1)<@MkI^DBkX6=ok#=vs
z%ffFlY-X#0{inn-6CYW45#w<4=6z+@R-!y}AZdWJ)$Ofc#RM4sVBVCvm!t8WFSc+$
zG{O6~>a5XcIWTbYY)jfwhQqVGv$smM;rsk(htG&S{9VL(toJL!O7#TuK$I@<hestb
zw<>_E%%!)UfyyADv9I`!lRoU<coVo4t_YWc^Z5Nb$q-Ca9;3hq&~m-V@57cNG`VOv
z*o}}t_Zpu5+B|@`!^ovr9U_RGsmfY7s{}TEE-#_N0EWlEF;g^%P&qr;NPM9HS8na3
zw%Ztjf<y49%vnX4&!b_l$tS@5x|oq~-wi>N^Q8vfUJ-s@&Oc@8CJppM9fAZsBM28)
zGJ`k;cr@$Sf0s)F!n@mg?*tpcRGAAmU6?#LS0trWWQoGg0cU-NL?gJ_5@PmLT@DVj
zddp8c3Bb*@wG6KaBk1_sFge{W3x9SkxV^Hu!Bm(^`@6Lfd|nigGt-d)=gNB~#9<Z)
zC^op^&SeDoE;;PM=~7T~#KKSLGY%?p1Xhgd4I$hsS@_;>2}mkAxNJ#Tr%1S;=1a0R
zg!r?DGM}{Z@J!%mpYiq-h3Rx6X?W5ABrGY_q<dnJULBm+WnD#)NRNBQ?Pma8wO+LG
z)52hD_S#y-We^*Bvz=(Q2Jj*S|Lel%13*(E!VvW17dD!ZTgz|_K<xL{)bpSG@R?<Z
zQ11K}`%!J3vOotAx?o7~ROAK!!@EzZeU~x3gQ47IF$yF+)=bMS;)17Qr1`UUtJt3-
zg6HgX^udDvsQhg!4)AHV(tGQ&hPlQ1-EwizgJCku^sp}r$ej}J)2Um-0!+0PW}|gs
zT!(pXD4hWyD9X(E?i%*C<mU#>D;*eqm|<QjMF%;fcP{*+Tf;&gX<Q5aqYcN}zNx-q
zqXD~b!)l*&SFzk}s$?8V8}7I(2p!4Vp`3B%&OB(gg7qf|$s1qRg2I^0?2|Pcls6aE
zu-Au|F_Fa8f8U!mp=?t(A<u1va>38G-9>*1dwxga#5rC~xKk6CZg>ALMZL1@dy&o}
z#!>w7cdD-jh|mX1F`b{K1c&z%B~1Qe0_=xGm^#&A_6Ai**v%<Q@Ee*3%xC{#c4fIC
zR~6MkDQl^u++vJUe4`V0-gE)uGm9uKO;LmQ4K$YPQ3I4bCa)33?K!MFJb>PrN)5E9
zW4Jr6eWFZD{CDl<uUU*X%p%X(PZb&oO1<dwTZ&$e;l*y=S<I$LH8OHS1yqcTI?ChA
zDc(14CccTB!R%R?zGm2~0E>r^DYL}`jIQ0jE>v*_J3JOE9ksWY)UNbuLNm2k=N*63
z{QWbSTq^Zbysa{1L`c^Aa<pRGzofj7;SA=9sbW@xWI%pSUmy8=z+47xq`aTcV7@&0
z5mbA;c|#6+SIYYZd(@t_>R>U8g|^zev(A!0*cLZF)Yym3&-Fw!Xv|^j?{}#@LP=28
zITcl@{|%eh!hd14pT}q|MaC8xNl=iP9{#U*2y^z;Pjp5Ln6|HOkBN>FoV@KEEPHDd
z6P(|8u2A&{^KiE-{^U)BSIp(JIqKtBN?6oyu_u2qrcoOQ*K9?I6n<9y`tJ{{Y1(xs
z9xY<UnDFXouL4MmiPV(TPh!~&p{GrDmN3=2@C*%J1z55>JAOFxCl;KMAers9f-T=p
zr?NgR5Bvm&cK768m`7?|q1w_aR^RiPTCq?L=GPxH^_I+F2Hd-n8s+O)iDkA??Fs=t
z6Ev41X6G=`;7}{Q+)b=fKwN0klmIMzSIYDi{$S_J^L@QuZ)0mzv4v~JvT$s1@Ilg*
zznHt#CuV1nUF?DR6^=KIvLLdvtDX3B5&H(pZYo1m=uGDtg!s!qFg>a1b-*&#%bK89
zdW;5rT-kj?8IcC^!t(DeiB*goXv;PJ1BcXa^edgTl!mSx!)B}PHEf&p^{(GzI+V*Y
zk6Z1Mg58o(VIAsC?6#!+F}oysbn{w>c;ay>aD1F$c}-&*E9!gpc=rV(>a4ZjywfiU
zrKO?oYzuZUs!KKr%Cs!V$1FGfzK<j@evKDxETTf{fl(!jsca~Yqp{EuCkf(jMcZSA
zXizHe*|4rE4s^4?B)7Im0_64tzpHV`dWPMx9k|e!YO?F7l>~4x^8JVkr9)z~G-WNz
z+=zL6+X~Mv0a9*({|<T6BhxFj6w()7)Y@_xB){U}kJ$?)j~GUj>M7TpGQy9F6!N5h
zyud@V?&p4|L1uI}N{;59@Bt*E`$_C=Iv((^o2u5m*^mZ(B3FHq5Mq7ZcdY0E9;CnI
zdZ%P^plM9%>s4J*<a_>Q-s+xD_UV(RF?cSd*kV1j#3_!_?*VhmI3AYcuBrd}z>UOh
z^@gho@MtdL4*uI-9!KWz=TaW=qJCnKy0(oZYJ5ZX@2rx5EA>JdlezpT_Ffo$0zn$h
zo<6$F>>vrJ3!Gi1S_M$G2<?Lx2V_z1$FTBcZ7Fzk?)r;P!9C7jyR&90D~D?5Se{|l
z(y-ImmG6)%f(}-b&KjF5Aa`kdPv2@8(0;}zK`0hO%&Y!HwP+%ea5(oa-je_)?2VgO
zc<{)3^Lo`KHxjDtnB3~PC=VrdGu+K-66i{H?BI_`G74?@*X1>+2$>Pl^)Un~RFQeU
z5z>^=t1U^YTw4+_UHta+UAr_QN;#TYr>P)gYRA#TTV!~6e8<)Lf-Jfv_T~9fkSeOE
zyKQ=`Pi60)jo!!2C5QTH7w;XCQA5NMaPa=A1_zz587w}PNAeQ||3ze}p_^KNjniZ`
z;ri+6ue5TC$fL!1W&MpBTIrC|b-k+%#v;mwUvCl7&WF^}@?<rX<9YN+0*f9LoA3&A
zmnb2NhW%!e)M}_=(ID|i0tMc@V>PQbAtCC(ZB7XWRkR}782xAqz)ZA>W-6J4LWuQl
zX3v$8+CaLD-T^~6lefclq>_YQT9?PQEt63E{XowFUL(+cS59<$NJ4^@&MB=kipXr-
zHdJ!L2$;{U;J58b=wVCD3AWn=WN)-j`{UJvP~jB%s_3&4D*AZe!Ffv(T{=^l=QeT>
zp!n({&wV2DpeeRq^b<p^iZ?a=8I9qdxA=z?oFeLb=R;Oe+mCnxzW!3AG6s)L7d;;}
zd6e{~#!x|r1G(9FI^OO$2+_9LaX}gclv`OE;=i}=xI(eV-2Mk4`K7n=9|0Lex~lK4
zmNt!rO@1b|Z5u&pluC^8tR%9Pyud<THbSY{|3_QtvJsdC%7`3nz@x!STC_}R>y)qM
ze$kB+hEOMJ_%bt93@w8PQ&S)fD9Ft`zhZ6(c7v&M1~_3<wdwO^M2{W<r{9fj)fj-P
z;%$>kHUT706*_U^KPFgOdGq|TqybzzVa{z}!;5m6^9nxlvciY75JBoR0Kr>9Q={XY
zNG(o9p(Be8ZtfF^?qmg^`SaMI(VG>$UglS|2xSNTuIuyl`zf&R$>=IoIz7_1OS|mw
zjUA{4NK6?L`q0PuzDex_4Z13IM6C4(I~aw<#y9KeLEYkA6?48VY<yHz>3tPDP_Lcu
z3wG88ydw9ALF6LV#zjxv<H`>9D+lsEChc+b2rS;up2UU<;@@l2?&<wgl?OYuVKgQL
zQVw@xS0)V-WQ*A#u{r8~8HYBg8U@Im6KSS=<;U%wv|)p&58uv)IcmYX(Th*stBg=|
z#-fW0gxR3AH_89Tf12QUGTm)1@fT%mC0=-tiVdDfmq^HQX+oZg;aZ6CU&>{Z(9lgf
zHaM--WWI1&1Df(5<+Gnzp^W}V{#Hj~gU>2;K0f2>P<vUqOh#aX66zy+W#}dwNDM8U
zJ8Y#65u7hyZQR|aXdV1Ic!`=FKANuHKlWY?Qi`c8Z-3aOcuf5<<9^N#<@scL%cE+r
zuzGUU-k%zVKEMW@0SAmF`}G@qP=(eJf8nB88b}Wa*g<bNfK}||c`jR3IGyLPfODdS
zVLPn#kRvBt{f*&1{8WKi*|Lg>E;_KbJXkBu$pvQm&uS8`sz6`v+uP>)^gwoYII;Pi
z3pURRj0Fj(z!br^b>=??I3GsG;M2?vE>4`us9qUD(+ZvV)R~|(G`)h*%mWuVssjFV
zR|by!faviSX5f)8HKZQm1>>&R*=Ib;;KC7}E91=yb(N<47&kxU82oy|@tzD)xbBNF
zV(g&WoqR*xYd_qr4Y%>SO@_`HiDa!%4zN&TJFnI+0A(_T4-Z?CA-B9{IBky~e=?0{
z1$zmCe2lrin<N=3pZL6-4CVqS99}<-R~RNwEDFTzl0fOBa7$VeH&CVcvoDQ{Kxs+y
z(VR&V^xoH{{Hy1I=QggU-Cknw{f!Iu;wuR}r#u5qws_&%AttYEUvbD*DKnkuBLU-d
zc1zfCe&Cy5>+`sQhlz;)>Z2$2e0YZLIn?e4amsw&@j?l>@T0)*A2k_@NE;pgS_i<D
zV4j8Rm4rwip}7tc8RT7sX1;d|!lXy(iBxuJxcKO5O7tZ%l&%y@ScD6Maz;$Ln}rM<
z$u4aE+)jqD5}BSgJy8(k0=JC}SqR?bH#1jL1~Z&mUqPH0eAJ`)vM@#fe0yn7M6EJp
zofDJa4i|@~1JAzqNXo;HVcwLcQ!0Qjzs~I*jECeWO<f1<72v$-RzDM)Dlos+O@4J*
z0xo7T8uCRb!XJs>ezPO0aH>nR#~?%!t|boa<BTPO@U6E@hI{k5X*kmNEM$*EE4<%@
z?D5+1FIwuHpVgt@xH;EufHXYWIX?b?jRZA>&(BXSXu$Irw)YhtGVt~2%~#Z>BoMT@
zYBMCJ1ttrN6BQ=1U>_=dr@(^*W;zoI60X|tLel+E0zUy<XjlY}ohHHm00030{|wh>
zJk@O&z;S!;z4x&W$2lA$>wh^kRFpC*vLZ5`6j4f4l!&ZELsrO$A}jjeWK&59S&5di
zvK5cF*PHwExnEqr@6}vG%d{^sf`@C@mmYShf%bj}?e_#Sw6f1X^xH57KD!AfJ9l+>
zEtSLm^OhDk_nwV#voHlm%1!IA59;9X*?ctOJPFQvHjku*V=#HV&OKR@2&79A4!#1K
z@aZYxyw)KAe)7^!VSOT0>qaD1yAvTGs3Fa?58z4X_pmNSB3v`}Eu@@NgGJZGIPaZi
z&~v1pWn)|&qP)^%a*n7#!WQ^`e`E%(RuhGxr`4g(;5*|7X#$u&x*NPSVFvq8)*PyM
zuLdWQcWv(MSAZ(|wT?k<8eCxM6%6B4gZ*j06aOX2!H<1IUccpNKqUvY4#=y*j$eAo
z<t<V$+PJk6B29z-&yF^Q5-JcoMv}N(AO;8zN(*PEfk0Yk&#}J*AaqqdR2mb4q9=63
zxKCyv+ICR%${QtMEml7&d7dBq^1E42XPZHhQ?z<wiXuE&433Rn;sX96_jB~e&7d$s
z_+`3-0u)+=wOjVE0{+f>h@Qs`5~S;F1f=A_|B{+V!xct&lKt?<Ocj8Hc;EcFH?qJg
zKp4=Q-@=-GR-Y|70YnRD%7}$X!>*UJUM$w@nAW|<mmmINpeqrU>}4bg-MzN!3`<K`
ztSpa8oGAvqhd&e<%Zh`+%9TWJd;#;O91rlhYziNebhkK^MZsxjT(xf09F{v)qN|0Q
zz{!MSCXPeG;N&7wGGH--ZPW}4s4$p7b)=%Ld#)g)T?>|={rH8|Xx6tH?=gn6_wz>_
zr3GNVXMMS=_7|3`+Zw~0WCZ4!<H0d?eDK~Ok1Z(jH|E8Vp2$3I2zTv@IcMm3q1*Y*
zM}F~HOuT0-*iqXM<^#0uME7vP$vhLc=qGa+ZLmL%d~*kM<<6Bn{Kf%lEtwJX><gGu
z_O*b7Ndq{Rc;6<$gdGH0Vilie{lPG=a_vwH1Nil*-{f95E11n*ei`nygbge)7EKlC
z!@-j$?B*V@0I#@yQl9M!mbUVrNh`lTd|A8dH<rN+FSQ;e#(At^XND!N3xw-|!r<lb
zi5@11(fP|8ma>8UwH(r^o6`lm%li(M>oUQM9-iNJU;bfJVJ8l~JgE!2gY13mn;5~d
zR;I2{l@2nwo%A?9Q(^a$2d0Xb7=cuk!Z?4L9_*`bQ1V@<aOF(ATl+CaxV~vMQQF1;
zdEDQKcP4b;;jpvyVP{6zs`0yWoyr7Gb*B2mr*uH0Ec28~6eIX|oxgwf1v4y|ifG0x
zX@i{Y$zs;GjIhMb(cfgn3SyspPLxM!10w%E%4fg?KlP_VMCsTeozik8P(mB*$80z%
z8<}9#Gi`a-I}X^*{r>VyIR#42x4~<FX1Evhz1#N{7YKOXd1G^k0{P!XpV{qTfoC%J
z6#Ke)V0eYp(6>Z}M{~xzJ`q@<%=T0XeH0(~&G~EM8Dto)%KgbhWrOTuPPO-y{BX>u
zY_FRY8J;J<rCah~hk+tX-i9p!xB)LFWEsd{tyk^+v4#VZlsdax+=L+Ow|VN9P%Sw0
zENKX+T#)_v-tW;-VQ^gk=GwYNg7j*N<w_qnJfUp3GhGk`_P;4^dMPAeJ<>k4n8^#X
z`}LIx+Tx%WsC}hk2MH`a)U!%E`Cygsy;p!s62wYxr!p^SLRAj;YW)a5@Osr`{>LT_
zy5-Z;R9q8&%c}qEW)%dgO6;-Qs<PnX`>FgvjwUoca8nfACj_JzM(wgnIq+HT`1vbK
z6B28(1G5W+K{TjT_QA9~u%swXk?S>~Te<c^guE!2tQFur+KS-#VL7yCRTISTp7#u|
z6oWF|k2lg{mEidwPnYx~B)H)GR7u@i0%Vwib7K|>AZl7tmpe{^uHoH|`Fc`tv6+kS
zoUaNHx5SE^?r4Ef^m0k6ybP>dyf32kTNQ4$EblEgAw!h?S&2nKIdFD<O42!}4r1*^
z_wIL+fzNkU|D&Qjj9hVx8U9Cvw^uIjdmc=IXI^cyOQs62%T}o1ZMY`%oN2u@1=^r<
z<r8R~P=xbsVLrSIBzQGipi)WH0Y#UqXY=Bepz_p|)rJxoXwB->1$`=1oWbNuY6+0R
zp)>lpo(yh73T3{Yx}fjB<y$eO47tVW)0V~*7*ZUGD}1g8>^XbiShA}ER|&h@n{*0f
zm43UEDP;f>29dr>vTDFC{$h{pI|`)dx7GV(>;R)8``X=d>aclqGNZna0yV~x>?Dd2
zd?3+(Fl8n}Lr-4w;Q|VTI#%tJ?J|Z@&e5ndEkwv~CfmB3Qy|)pw%X`n3f5+`t_e;W
zkf}3ubMP@4F1>z|<2Q?eL7k)>UxNlXRNG02<Y<BZUt#for2u+6Yb6V3G~ls-!iTa{
zP2j0gy?5Ns3>Gmzy|<q=z=n}SRaB1%GzIba^6ehcx@HpprD=dNSBhrg9aS*%Ea}@k
zOarx{L4!4+?RR}la@M=HdqO>OzA}#np4inbbc6_(iINLliweN3Q`|K-NQ2FrJK|kW
zsl#Hcl_fVp4n8-n1Uk;p;G0DGM52`%?5k~(WBw`ue6g>rS-;W%GdTGljawBgJmc8c
z#)Kg=Ofp2Mi3Ziu@w}YRl!4?FUZiKk4`-%sBv{{~f&Wg?ABAQF@M2JYTbINEF1P$^
z+i5iTE4`qc)T#)Ch{9;w3`Q`x>izH5v>9}l9H2z)Re-;BTc0g%Y+#Bhd|fs%W)P+L
zW5w~k9FUDYE7pI`V{~8bCXOkX!Ba`&;+oeoaO>s9`=ZcE%x|w~p=%|;v?-gV3%wMS
z=a4TIslLYudPP0)djN{BPR+Esiv#TKTFJS24bMNt-68n`1H-$E+8n<{Aebj9Y5YP5
zKD|h8R{3NK%(=CW{y9Rh?$otvoYaT&-VyJfWio}6OQbVJHv}N-yT4=5i6NXrdTk<B
z#{_1zKi<;4#|INZ6{S4x!}wXn_{l6UW02%XPoJ*fhFij%%<8Jc_~3=r$B|h^uvpzW
zBO1>EX8zf{&kcrfv$|vaR-X;wU1^ImOC2k0vGzOU(tX6A*@fW0l?`EyfnAZ#kQr<V
zC;wX;=)vtuGt$k@?f{LQqTz2D7~#aBQiodpF1%c?(@EsD0j$s$Cav+&!&$la0n4`=
zaMlCH13KacK&@tsS*+j0f+Y)L-!T{B=k(5$x(4aPWYhz^;q3;Nl3(kQ=AVOwLYt*$
zuO4KoVC!Ej*D&~!_-ODL!t7&QE^zPAgN&B1HNk`x>_I{MtLX7gjA^>pTrFD{R(O-N
zERHN;Y#qCr4m|yUEks91#qsLGo9?F7{=q-k^Qo4-l^%mw0#8ai{}n1o1RuL_Eqeib
z#b7&8Dl~?9wMs~(EbBn2E!O5!G>>&;u^v0>Hh~E~D!Q|HS_hVU6#LH4%waC}XTMAu
zPGR4InYcxNYeUgyEy3mF9M<+Z=*<nu@0dh1tJ8$PHoReqwv6MM!xl)T%Q<Y**tr2#
zX;`2@oOI#G11+=I-^5Ajy=*g>cc4$GR44@!COSek8)mUDoGeYZ6Xr0_rD^_?%oKQ>
zN;8ULp2K*QyB{lSE@1!7ZA^2gkRj_quxpd`_FP?S^ySDOY&6W_2CFg|A_vCC?O)De
z%Z0VJ&Us7Nc?P?M#9%GRK7fxn@14h3^S=~0#;#!anHG!Gd=jMH49*DOn8*Cn(&8-=
z*D$5H`DMW|P5Aum*q@JY7qGRBE#*IT8<;wa={&o%CZx2Fb^mMngS}v*`<EoRiPe|{
z352_8K(BqM+Q#T2Hr5bLw6mgv2y(gKwPGTCif?DyFSCqUaJ%mnD5i&f7U~_8O?B9_
z(a<>(xq=bAKIM_r7{N`dBI=pFI*iP2)$$6jVUDS`bHZ&*5b;a4#h_9Rx|RO(ta!hU
zF|g_147tSuZmx@(ywYkA^#;_0Uj4=Bi=-6xhq8e;p;0I?RuxQcGo79r*~Gq%9Pb&r
z!vP6<irjS=R3Sbg{?+SyblZE;YghdjE;wTyt{#0w1vU%h_jgUwLwIk|g$Zw72vWJC
zV8NjR8R#2Z#Q{bja!hCK7UqY}=$*1VA1Z?;>9V`qC==WtBu!}E6@bTCH!9POlp*_r
zi6&hN3&b9{MHMj-0*9|5<e0AnU<x@`Lm$Kj4A=F81UN*%iYs9{`w;<Jc7NO>d6ff9
zE9Ijs>BZoOt=9qMO#qf@FGX4-7szk7{To37%zGjnr7Q^0{cgr4*MJw0?kRQVi&DVH
zcIWkRDgoAIBAnkY@<EMm%KMv)vhd*1)bRpi0t{Ag#dZ4$K=Ztx=;pW_c((hwKXoMl
zjYqOSnMDXvjkdNFofKfV?T^HUTmtB&jOv*+34{Gxk?yKLieMtu-7>+g3|CAfPxR-D
zLZ`UpXmUOQzSaomzR6OCplW(^rgCxEZRb{B9IOIA^tKrPom7F&xb6dt-y}gY`?pn-
zvl<j83ZBmKPz8k}$^1?hGC=s%lf&aggs_Xmy@}asAYX5wV&f?XpLqX8c6e)oSE+3!
zof;8}GqPp)>*T?d#^>F0NelX$#WGCjG{I2$fH6{1gvb}Rb$46Hu(iZmAxqYR_oqY0
z^B*XIxj`UlteFCvt^@ITV`NAiqF#G1s|-2m0U?*mwc(x7w65GyZIH;6arsc70=h4w
z2Y91&fHAh;or9SQgB)VZ1!Oh2CpDhbPNKr}xnoySKI_8IL2rlbr|O_=dE^*NE)`U`
zSXW1X=!13^^>4741{m1A`6fR=1^@aNmpp|H;q>%hft&7{5U%8{`vj*#*C6$Nv4b(h
zOALK>k060~ft-E24HfVlE(VuOQ`q1fz7gQ51rb+LjNabV0pf$-@^t?JBwxQ4w7l&~
zevgP9zTVo9bfQr_JJbwzJ$>!GL?pw1q<QM4MKaL&blQaa(jd9_vNTbh407_SXBN+q
zz<u{n8^69e=r&93Z(h*?zO$*o_COtSWgmtq^qYhJflnE;wC(>56ev}_t_%!&lEvLD
zEMTC3efWhT2?l90_NUwwfHLWrH4tF|_Sg7+RD9Eb$ns(DxH2i|)Mlb<i?aYpNt34Y
zc0>@k(vs~jEezr5KT`PuEWmW1WN=`j8sv>p?p?af1zkH@;*XOoAk^BF_T`BR?0K(g
zdG|CO`0ni}*6lWjb0aGI-xU);PO-0$qx3tr<7AqE(s6Sjuio<3%U6W1e-X|e7kh9U
zGyX=QVHzlP8e9*{m4_1w^d%hz3wQ^6W$5go?fJr#yRnljRDX33EbsV>Ut!FB;MZaX
zhih7G#P3Rid&%hNZzl#c?Q~#M#Lx`hOK+eACNc0)dy;v^fEi)PW74M#p!Z!vFMqKR
zbep9%w-8y;9rJVbj6{H$xuu&+iTuFs6UWkVk_~Mb5+m>1VL-ccaD^>^8_1-5>bxL3
znvHB&^>#G{vAzhlWg|9-V4N&$cVI_&V}Qt=U=tY1p{KA!GQ!WwMSD&gcElA^R@rmc
z7#6bm6~ZDnG2`^yP$qG9G<j#gOwwy32rM;zCp5Z@ovicuq}{}Zvi3G=D6Sboh3r9}
z48}RkH}izoZ+A8%P%IwVrEdsHJpVbyG=IUKr;odHF|eW3dj_<j%R9h8_KgiO=RLL=
z+sk#mh!uJ0ez=?W#sJ8dim%QZJ;E<=YJOfn$%<sr1DOm(1DKvI(wDvZ0srI|@L9`{
z6{#1#JYg205BmbccnkAB<Gp$LS|MtzsN6NBR_Ti#?Ar>a3+w!jAFPbq#b&^YdgH{T
zX7}mA&kWt&yR2vNoxiBDmfoyrUu1aNky>3y%$Jva|9Anfs1Fq2u46^qTc4h*l62vU
z8Fq*5^b&sX_GgbqDjRD0R6k73r$XH9p?fU6t9Z$=oT-ctY-qo!D#e9B1;1bKxI_}y
z@lqfBz^in2w2BFb-zm_6vINH?xm$nnpl0b9<7f`lM}MlYo2&z4f6MP3@z}!46{W{4
zGda=GCtp2;UTFi{+WB?iNjhZzgeB1M3m0l;P%%AyP#gZu%W^h|Ga!-MA9529@u0`S
zjcgm=C~zu7GgHoi5tZ#D^|R0MqL$rq$s>^zV9p-Dv-pS!h2=E|b&c|&=R`uer3wWS
z!wwR9SD4Wyse_%>qx{HWeKI%V9T`$L%P#7>v!aDFS&ejS0_a4tcKwGiG6>Gt^F~at
zq2aWir6rOOq9)0m$<rpo>MuNa>mmoTO!_H7cU2f2r0?_mJgfy-a$;eBDO||AjY^mL
zM+EIZKDzVT2`!LMYLl;I<w2K~+^ck=#E_`#8`-FJ5`4?Td9>;HP$PkMz{)@Zxg78c
z3CbZsATdb)9xp$VtW0t+;gLd*q#tF=xst%YSEevqM*wkz{<R>n$)JeLw*D;b?Ypn9
zC-jZKAaYs0-+Nh54#n`YEx1UNK%d!q?glP|NRNr!w{+!^vth1}m?8;GQsW9_)kRSD
zp%>Q5J_^XYNj`337YRfk*$7rV6-A;N<Iq{Ah$`IL#>lrwP#k%-K+#$pB_{I*{>Mf@
zx7fc*zg;H59Q7z|kxdevN|6{jd|Da#?6zwE5TgZcX896&V^Zk$sz}V#gbKR$@$Aoi
z+g|D-`$)KT%b>FnCAm>9YN(^6-)MIx8EQOyccuEvA*OyYn#;I4lG7Imir1yU#`yfN
zvdi-5<hn}l4i^oisxLII@tp#-#n-3$(iM<nla8oeuO>?G>{TDG(T18k*^$rd6p`>i
zahRQ+7Q$QFhTj(Hz$9z=CUsH?Wlq~aAefNR)J<3GfLBzYyzO7Uz@>~<->2cT?PRoQ
zxmh4JuM7PlZf6_GD(D&M_tc;v1zEMRTlAah!%V<bR`5Pml&&9Wuo+E3A?M$W(UllL
zI6H@$p}iW4sPg13DWRa`zXSdxO+z?W=FKFsR~^07+by@8O+lAVUbE+XX#`Ins^6)V
zB_fxYSzike3OW@jXnEes1a9v69zXbwh~CgWnA(^jqX(~D{DucjL8N1=Ao;Kc`lqTK
zOK(m_zM`L-j;aGNu3k@`&(%N=|M9+4X(6G}7g6D=g8;$2Uuzt34V20<+gI~M1BFz#
z&V3FvgM6!3>-3o#XjWN5!o^G-&7WuH8Cx=gS85H<m3C>M5AEl8rm|EJ*m|awIMP5u
zn^>z;PDIR=&MGMrN+{*Np3>nQ8e~;-4A%ctN4ZrBt{|y^ZW+cKcy`g?K2i$RUQk1c
zVV*rrO){ulWO?7>M;Zt@T-bZLTNT}!Ym(kd6-Q{<gyCQt4G6D;k0->bpnYLK0~ET1
z5MdsopJmd3lI-dEk)n*+n(qm0UEo7h39X7x9yCyQ>WOM@RzmM&Zr7$AV@Ho^zLB^X
z4R*K|FL~N1qOrExKO%h$=r+FeN(-57_uW^Qb66hv?BnF?sb9x=s0F@HoXucaw^BpQ
zPY%hR)^d&Lna7F#J?h#k0OXemt<Bsr=#jecqW^^{{L^^Ug5@oMe0JrX$J``Qsfxz^
zM#VndG0UcJS{5LcD@D?2Pz*`^GUJkCt-#YRR*X=*FgSIawEsY;2qImz%m|>=VBcb2
z)AuBpLX_+TJL_&C#O@Cn7gRg3l}r228on|Cn(1TquONW#SvT(WOMH(FY`(VfoHK@L
zw&xSF-h9aKb#{>2&mOG5qiSSI#TeM7jaFwuxY5OH7iNt~J=nFGU(c94jex0Si(~E_
z2fBgcJIkKF!=|oDruF9=f=z3TrF9D{>ax^7@iC<htD4m#S<mf&t*XR27Y}A+`Hf5#
zJBeeet5WQiraRyzQ&~3GK1RfGqEhyyRvu<sX)K+dXaG-wA6#KSM~_zd+DSaW9^<wY
zR(;N&`XF0UX3bH%g$tw+txbg+@UZ0TJA8NRgUaR#Ep6j3ezl?Pi8<#RoU4;ufBlIb
z>}`J-(2~23A7dk_q}=bt6%KdDkofe#FOS$qEndaL)kv<5Xb4}Il{%z<aod5?F$p^C
zE4U|%E$fSrar{TK_LmDksbCcY?LFm7IAJ)i+dBCRt`JF+`EZ;Hw!22hf95XY!qe9!
ziz~k3;y1+V75j9+QazwkrvDG#Z|#3=bo2-QbY}+7!Gk)`U}YsZWcCM7yZQy0iu}g+
z@^zPE@3etX`QY8YFAMm%&h$|+@*JKu+vPQ4qYVp*H`81y7w}%nV}XmG=W(vPPX|N>
zC~&3Q`rwPI1zf_vQ=~Qf4<7s4HD%b10_PdKeA6Zu@F=0;vUed%c<+UMoC>pKaHkew
zD~5mY;Xpk8g~tk>a*?TUB%BPd<5H@Q)%?M4W}n9<{nzlvy(*mSLS#@m+}JqkyokTl
z9~u`(+rWRPMMu#bwBXK@sv;tB33oGa4&MF!AFlf8MT~VE2|^s@!UJTMao-tT>I{Vr
z34He-f(}inm(jlKykiA#F0&mqkETbVpC6l(cr<~~7-g#*wu;{neE62K&VY1yRQBs1
z)qv{#kqqai*YLu9trHtDOvv_7k#bBC5v2Zke+s<5fxpjic`k3tg5-8v@_RB9;e7cM
z;kJYSaHSNkizh_4oj}*5Dek2Xu^Rq^$yQtVH{)Y3TO>G8!}Y-L-0#&uN3wOr2+^Vb
zQi9aI{amQPp`N+fTn!dnikCW;>Cump>ze1E@u0c(gJ;HYRS>SvH)-F`hyo8p5tZ`!
z(6fJ5zZG_=!u>;1HJwdNsJe3{MMg*f4Xal*M10)7H;G0U3*A`I!%42IUfF_(-@z$P
z`kV@+`K`xBD6=8Io%Y=Ww!+9;`K`k-ITc9$kNH%g2nQN%R6FTL5=AHD%{NDfltEpo
zKD|+w3z_bO^%aUZikH8^o|m_M=g9Cy-oL?v!b0>0Zn#S#i7!1<?AxyISb1J65zU8e
zjUEs5HA<rp)$&6hE-J%y(aq+MKlqVgN@7`wx*Xy<{<UyVtnzl(zWx&P6-51q3j8_Z
z<<a7W(}zu}l_BZ2obxwsVN@71;wZ<Zhzva@HRM=TVBx5JghsCjqGm7sVt%ZI4CFF_
zHB1F^Uk<UR;$nz=w}K>eL>V1e&*7|;RR#T;m78bYOQ7@9RnmEis^~%aSjD|1RXDq=
zj_xvtG$L3c&rT+FRQD%ctDadM?yB~VJoAx7gYJgDv&%&E+<s{=-GK;)gRMP7SLKjx
z*fI+Fqlt9q1zX1!G(h$@fBH!)1=QHf`N(x%Yug<cSJ=l$kSDvVjQ+VI8YxnDJhMPX
z(W!@mJrl`LLSMZ{R*`@NkK7tbAETgA+F|kR&lEr!FTUD5P)0X{4tE+?X(L<hoKul*
zIxuc+<KG~vil*27=2=ebpg<<o#~1i?!HJ7N;Ez{BK4-<d(l&I^nOr-rz-c|WP-*$y
zWmz2sJc<-hwxObkiq*phe;I(*0esbeyLZY~YJILARAg_d-Eo%P2);9xzFs)1iLwWt
z*5(tbD0A{(eul0ITsY!zTs44%;)=ht9?R5032$@I0apyBm;0S#w6)M4!d`79q>V=Z
zGd*qf65xuY<I~zwEi_Wye0m{{f{1=s$E}{5foQev$FpNvsQntFu!{g0ozuQ4ofk_3
z{szhGE_K^pakD>~Q>lS2GJH%n#mqrsDb}vRLJJMl{0=EvQbnmF0v{|}%^}T^Tw4)J
zLhSUq2k&tZ(2+iAfdM%S_~N*8mES`X>2-<cJeHA1OJY474Ersh)A@7F5B6;jIQy4%
zKb1fq){>j@_E|tSv$5@q5Ou`h|6?F9Ul1`o=Sq36WC230ZB@r>RS^f*u5T{+9B5Od
zb#!LL9B#im-C#PVjLfVaU&+<q!jEAhzUyJ;P|le%zUz+?3f)zC|L5j++-Ea&ZwIG2
z$g{5h-OZqgl)frI_uAizrQS*U6B9>+o1SMWS4HH}bMyJY8^JS}{YS0!Gi)?)(imoa
z6Ci`84(?+#Y+c396xexWMVP@O`^<9w5eej}n`JBcYYW>SH}9*p1`zpeIMC;!D5|a7
znZ6#y0LD>65<7zch(X|Ba7YLVdmPzWMq>hP0twyzih<Cyrk1EDKU%v=Z=d173^)Ci
z$~k6Cq06_azto2tIa@SH?U-hUgP{fKRa+(yEwE?jT;#U@*EmqB3=6O>*REAdnt)8l
z?o+bDOz5oQa%?m=3yc_4&%7}+hBk$a95-P))O-6!z~)<K&>NK5b@7Z59Q{r7n*6(p
z@2DaqB%EW0jD=Uzs)dGdA&9JdFk!n3YdVP{e9REMgMLzXdI!wd6qbkQ|G>l3Mlwta
znc$Ay5EnCb2ZZruclh^@;u39j0YX+xK+m0Uk15gsG_F2t$X9H~-^tu3+}vV>+xH89
zJ{!^p@<T?Balxn96OZMfk1dSwc*J@7p1wXrNIWd1c=cdEguPw9<uSrt!H0~__w=Cp
z$k)T3>0{ViUls3%*^J=5Ca&~^K@Z;I@uCXtQ`nb$n=a`(Mkq^u5M&Ub3;zQE0RR6K
zS9dto4;Qyb_8!@n>*5;s+Vgv?h>DD&lp>>&C}|QYX(+3o2q{z=LSz*8q@rY%Sww@Z
zLN*z%_uuoJ=RD{6Jm-9dcNfRpN$XK!s>RWXZH5&LZm18p{m_Fq<u^X5s!tFjbE%q1
zTiAe0hBW4~Ll3IXZnUFZnj|n-@^R~XHmGaO-jLX#3)8|AcC`1?#73tLDb)e&klcAn
z<HUAdxcz6bV_<5Q;55Jg#zBn(J{%+$&G*njYIrkUTX=zZB`eW-L4Xr{qsigC0d&~1
zZ<y{z{YOMiyt;9BJr}4QyOdTsLxTsK2Ly#2mI=9AzQFFp4Vl09&acGLporCMxZubt
zF&Mf(bJL@BU={dZ(UJlUyl>js#CI@(q__854>~V|9uJ&osL}zE`OCb^tIQCV(4Xk^
ziw~p~d{=LJ>p)3cYSA|%R?u8$^)u_e04$4C-}{e42biPDRG;%~P}cLxHF8`K;`*3M
zMf|lvu=7!K&Hy{?@ln?;78QnG2mRCW^;)p~l67F6Hz#x%=}&TP69LY3>Z<{!T0rTe
zuT0Hw!Q?p$S+i16DBdlocdJ4ZzQjtcdamuADw|;;ttSpeAD4bOZP0{88Lm_MF}$F2
zf7LIdO#-w=DJ8#tP$B-k7i&`#KP2frP_eiv1vfJ|XI2xaFz9l%yTVlvrs_MSm7>?f
zoJPz_j0+W{oh7%KMF_#~Z%l)45@aEkR?hlZjS5w)WlYJ{!oV``<#g(uJj9ctM%GDD
zL1F#xYIiA7u;Zn3ridy+%$D0XZ;+?}E<ZQ0T^EBBfrkB;J(ZyTYGz0NCMwj`-MBTY
zAOWj8gB!YvNl+=B9w&U03MMDxs_a`Nq5PWHRF1p~7+U+paIVvY?yl~)m?;e^JGuL|
zWs%{$j&%|Fz9z)EN<1#OBm;M!ef}3rrNFr#B`LmPT5v7GO8ITF97w$#Ot-C7gU6XG
z*M`Hjp=STS!ehG>;OBwDr|te4K=@ttnf25G6V@5w^O1^B&%qmUj#CrlsQa?%k~H`k
z(Eq{rkrJ?6deks*TMGhO_{kpgG*}$0vw!-X1o0il|8)xMz>4M0l66aTsFdF-N|93m
zzbp3JoNIO9j+uXggt8ux*$+!(d68kohn>^Qmj*&`-9s)!A6D&xM*C7#;qWt4afcr?
zu-HDPsn=@&$_+mnD&A8-WT8Y!*pv?G#~3@V958~J>1k8$Q8m~WLE&lhqeEuOAyF*>
z6PP+~_I+eZ9cFS18zOenVYtlqNbhS?7_WPCf}=+R)Z87vT@k0l>;<i8tw?iN_I2c5
zNT)&t*pxIS)4<$$yr7RpfXQR)CtVaxh@RJ+6K~alML)Jzb%6kmn7F$xQWGAD``B%I
zsttjTJh5%6mf-bVrt5sFCiqLnmc}`20!@3S4x26Ed2Wr@@57ofTD(u9HB%id{c}ak
zc3Oc|SZ}1`8onPkj=Y+GstP&cU-H9ht-vQDIx5DS3XLJpJfrR^gYj(UI)4FcD2~;h
z7(1f@@Aq%hF-cT}$GqB_<NDU{EAVVTzrQ-{@MdJRX~@DdHDJEL)EZK|g0*-_YEa);
zv8myz1oXGYYZZ~K;fNvYN4Y9hxK~!*&F~k7xz%o&mA_Wd)vVe*Zcc{X(Mm(FZu7t-
z$8Q0pM^+#k+MB@nR2dwETk@#)Ss_LyhneAO1x4GEy4|Emut}*}{dn^Np=ag)PjA8!
z`tr_>w4GOkfxQcAgPwngqBCOm{m)xM)gJyU<rDItJYB?S{nJ4hoq8LUCSnOYiA}eb
zCS^c0L1M>+ug@6lm(I!@$_DtVeNS_}lr-q>8ag$*@R_lXV^#U*+8dSkz8BxMUjjH=
zm}f?=^)s{>jLkp82nhFfnI0V!g=}|`q~?NQ#wl-^FufEDc&G7}Dw8S<IV@WbA8q-~
z`1@Q=l&!)XB+1PiUmO<%@^_~Q@10|e{BBlH!G1G%B@nG%A<PHImf5%}^2Zn_UtVl1
z5;Frs?`$Es!3{AhLfvLuV~q3W^=}t9n?l(8q2eD$IH2Q8j_l;~-;62e@9&zgnn1><
zvz}+}v4ReKO0ydoVVLpWd%5t@7zBfZ8aAji!z%Ai@qG<Lj2e%m9=fbCi0o%ou%B2a
zmOc+Uosay*7^#;}&<-|&BQ6K)i$oR)GdsKLEz<pri6KY%+&6|Ge<r%+Xz?uJ$DO1i
z@a#K7Jl0#zUcnIZ{nnjJ$0_1C-_|2}PkI?kZW7QHWdM&PCNICG|0OD}S;)VU`@#s$
zw-=N6r4Ji(tK<`x{t&0U!zO99?Tr62ZR8rA^ua5+_h2M_gdl<pCQToGWHe?!Joc_?
z?SENU&uh*6A|~1VXcKonFfOUB*!F1aLC{@O1F~K}F;BbfaWVJ}Lxg@>{ac<cG*tS@
z$A9}yOzon`ItIUB{EPCx{#0HU{1k8VTYTvw>Yn8|RW>|fgbzo`s%6q4cA8^FE2D=f
z@p+zj=fow(&By)*T5@!VTCdZfJNcRL`5kcgn9XfsZ<WmXyLV~udeG{-R(&U7&@0<L
ztY1vzXl}c8P@M+Vtad*FMLP%_x$a;o^O7J>T0adbUE`sr&ZRqFw-JtYsWzQ0HN^0t
z3b%A?9VqJQ*md?pD>0_+uyZD~j&Lvimz$ff4aXO#MN*_zB79ILXA4sUkzne&!0|~7
ze3-T-2-SQdn7c@$PPQ$?ve`DeE|V6t`38#A-uXlf)ZW=scl{ILwo;tRqNfSv!<W7f
zzg+7-I@0>(R~zxF_J)x2Au0$c+0^?8v=T21cXxJg?IiNZKP2WKX~2V#qqj8wYb8=!
ze-m0=pNW|r*B*9_s{<>ZU%$brjX03mJ?IhLL)hLncKK+e4(|<)u_YU~6N^?e1Cs82
z#J-?wl-IFp5Xyb6z1^*Y@FhPy@<Q`F@zpVODB&{&R3eT!W!>o{ip#|f4mbTEv^xVh
z<Y^T6JWoGtsrZ?wJ8KxZKCz#W;^+V58m|i5ud`xn`xk=C*E{a)sb564ao-(@F*0bR
z4}T-q^bitk3l~bR4-r&bK^}KkGI%t}E7lM95?qn-3g#Un#My{fstYewz=6Gq|Kfvh
z1oz-&lDOL+q7Dv@O{uGZ_UDWT7goL#61F1x{hSj-?S4|0QKmAO3~hbae)1==Ty#~+
zBJM9SX<%eiEusvn&$W!ZWe13!(2f-j?I~h!#KS#N*GLfXe$_2x>=zLQxtEfdW{5_?
z?S*IgNRS-zjy66%M3{b_9Lr;#BNj|FR9+`2LG@lm4>Q$Kg2Lz&zF@dOa5QC$drB&S
z(iLUi*0euFI#>B!rU(BBGBbObN3J4_57?#+lP3r}UuX3To-0I+cVo{_Jw@0wRu#mR
z_m{X)u72f4J`;G;;^}Jj3Xl<1`%KtziikTHRpYyb1vqPk`~CMRKwru!eM{LHg2l$H
zJyM<xe%~AT`G-{jnDP%US}DvCpTG9$Jy7I;j0S9VbdiUh1-%;fo(n{m%JDj>9bDjC
zw3MTqF9#Iv+9<xJf5iT%kAv||>)_uecacIqIZ%svvNCvng)kLUQQvTZ51c2GV=hI@
zLe$fR9f37W@Ok7NbDWhRxCsf{Kjn~xho%#YWd~RQX`#G1BSKKtppct-TLyCOS!X5_
zY@of_0e)4BfQ9b-+(suE2=d?Ud)1Z$&XI3?I`>)(_NTB`pOKP*q$8c>H=?=VkaC7g
z?~(+B?@^p7XORJN;;b{<!a8W$$A2#BurwsJ=A4WXT<aHA>W(Yo1NDnh5_9sh;Bc@w
z;p#>i__Z<0G08&^=7bi;-MJOOez5oGK&cEQa9TfEw<-kLNo{-E@)W_r^XWGeZ&|3n
zS@CyAvk3HDZW2`rAi>9Lmk$VUl>_%vbH?`@#K8H`#nkOvRKS)sWCur@Jk$r)`VK8f
zfY6pS?Wa3cA>POD!kHWen981d`O;GwTy>V8D_v6qW!^;B^yiB3o7^Zt8Iyrr?h_xz
ze`tV~_11&Bf+S#mv+FfcE)TmCidvZ5wLo*u^LpV6Wl$!*-s#)9b{9E6eB^?4AWOF|
zg?LMb%B3w6mNQC_HN(Z@`<w<mr%nZJFjfQOcVE8F<tf96bGd}<KRT?=Hhzv;^Nj_h
zxh|OlWFYBZO^c)H!H&^smC|@^(4m!UbemG3PBLtSyh$G(cp4Im)igNqpo~>gL><Ci
z7opF@0GgCF{S6m&A?7o@F&xl<eNMf9<3|lZ>T{)MbeI7wvAWL)=4pcdE16~$M??6k
zb8=URvN5dheCMlbtqoc^Y?|SAhA=%G?c={_3i?tOr%Bs&;C@ww?fH)e5O|T*+vA%B
zl+#6XY)5pUcGHPu+Bba|`ZoPy(^r6j)YBgRE;I-cd^2BgL=Wzh6uigvtl(f#=vURX
z{2^1VR4blDhvGQS0KEWfcu~ezVj4?>76-nNq^&woHW(2y?q>r_<-x0>4m9}1Z*O!w
zO#`k_6Y}E7w&1Wot#)&p4$LcWVSR5;2J`Lq)ZIC@@QiD5@g7A7Oc%Dl9+*~ugF-u~
zn|o|waO2Qx>swlou6D$Lt4snW`<XY|b=bnq{=FX(Q>mciQ9pI9j2GS+i+++%w}pU)
zLepEG>R=>!n6K%;JR!nj>iLIm3pl7O<2a)V^Ina$?6!>z7G8sQ0gr89wqpa&^#~P+
z)c(2}P`b#__$t|yEMx<lx4cm_WhKFmxLAj4ksNq1%j(z9gVs<p-JiBMMFGxy{cgWK
zf)B4S)S_Bytl+<S_w_0#WZ=a@S!l~vAza;J9^bs)3Sv}OD>~UE;VRGJUSmZORCp65
zd-;?l)a<#W`tq{~gq?m~xa=y5n}k0-*ZB@WdY6rcivsYS`yERPpBQfI#-R>p0K>UN
zh1DNiu$kkDOk<E3{wq_^yPixy(VnZ>Oov#2RvW{dcts372VCX;OSOP)o1eJ}lNX4s
zPQp*5&x)akre9vgV{`bsPU(?=?jJ(;?WZSU9%5KlC1scQ(F`s(WTR4K8}Z?1!Uq8r
zF{Iv#ZT!P#1}NaR>bqFa$P-N|**PwX{!(#2>9(ezl&Jq)e{O)$DeIl-#t=o3u#^AM
z6HV4~8~LP5(_hAw*}K11(?u~SOIW^j&=|Ij(dt*m=NNxuU#WJ)ilXm}aVN69G3;wn
zsB}27%$Pd0=)8WduK$Ibw7<v*RMWg8IxUz{w%PkB`Iab3;Atghk`XxAyLx3`W<?_&
z&xMRSQQZ7+w&O&GAuL##d2h;RM<*YFm@Hl~yjfnpcv{vF?1p>nf8}uEzF_Z|(F0<5
z%kuiq);t6FvrAID@*Fqf?ICWapJM3ONb}jJZvY5^@4Ytj;G`aXnQ}}VT|*1#Y7P4E
zR@E`QbR8eY{cX}sR+PZ@)L2%%1NvZF%=(!76+ebmgr0RDlECEnaGpm3`cQC|>d$5>
zh>S?f&EfAQvGVw1*>^AXU_1Hf>w^+Pcx_LW%bzz=XcJ6V?F!X{A7A(I^UVuk-VTqn
zJ71)6e@Fk4$(m0~3&}gR(kqNx)C6Vrt&>5&Z(DZz&gep^*YWeRO(Ix(D@kb3RTfnO
zcky?=(FL{LO<x4paQW7rI9l{v4u8E3?$yfDg}}dzM*9z9SkXJr#x13QJprfBiJ#Mj
zAfacXE8XHq&$SXf|3d+{h*T^)hU&u4!<BEe7A5e{OoXOXnIdk!Vji3oqzgQL@$PA4
zDXjR;Rr2|U5++B>PLGD^LVDESjMBZ*_`Idm_eul_Uvi81%U#ih%FSP%KYFwtcd5OI
zN()j(4Sw}A<U(CY4mSS)SU{)0WzQyy*FIVvV&AKRadumUXZm%)`SD=d<N-PKOT2n*
zy9XI(U-pxZsO!Pw!s^k~UU_tBcDR%1q>5ddM(Ux_dT`-Mjp)Y$1yt5M#;R;h!I9TF
zx9^VVfo$TrtjQya=$rfa$Do!P-WFj>Ip?nr*)wOa*_$Y#skP*71%7obDd#$GGoud@
zA<F~8tR&3c8#x!-t&XnL0FJ8v48X<m+z<T^B=mcD_4b}b4Ggk3^>%PD1i_T+(Z&hN
zXlc=(bWe?n&hJZaSMeKxTeW+{W+xS-k*+;5&7vY-aclC1A4ZVX`{tJmI~nu&7BY2*
zsVIGGz`?J^7?f*RxBf05V_v(`Nea6rZam`V)&Ix@1a9@n-LO~1ocPDq>3^trruOMd
zZ@MWA^i&NpnpCkcCOvWMZ7O!SBphwOYz8bJjb#6sQ_#BfbNCBMD!$)8DgH6s9QY*N
zwWO0NXm4-+KzD}*&a!qUrFvRG?$F*ddp=O`q0`Akn!h?WZ`6t&(Ig;9-KG3tKLxY4
znus}Bs^K1<LorQb1VryG_?q;Uf);&0a!8Y^7{VoYZrBmv?KwW#E2R`{*7fb1iX!8s
z9QPCXNdQy+|B8PHQE+J4fnqkNj7GGtajx|MzQ?s&=h-MIoB3u;(VK(?0n?gFlK@>>
z-cBFRs-oiY1*`5FMbzUrzVn^i5|r8P^xzvAuWVP4kfkc17-uDANXQaePSwvhsgbc;
zM<>hNP8QS7dp&03v4nWeoh`ffs9@lU4>qUQ?lI5NZM*+0K;h>SX~{Tc6cyUad%0Kw
zZC~EI5!DW0<68UHAdiHxEc3HvR$@3Vo>@4S4>13(rRUoVC0rF=4pWg3!MzhfuRV_e
z{40~oU~N%Ebv4!!VY(1X2<!dvF$OsJ)6vIhKmjX~J?`Hk3t;l<m6Iyt1k7rBxA-p0
zBmbR>DW6bY<ass0n&GpCv;MzY9}77w^Y2M_G+&2*j1MW_Znl7RQ63)bNit~8a-@?U
z&4sI_+@70^EP%6&ecRGMX>9!$?$Al+#E5|FD+jX7AzXMdRPL-4wkvZQU9#iA>-N_7
zkFc7<kH8*_)3TEIY9#Y_NeMeD#xPcs1I?i9{ixWHE^!nLh;!H&!j7cI+@6{yQ(zG?
z7_2W8!&(-H{FSx(EG6Xt8kmA#+&bUpd!iV!zEC%&U~SH`kdMlDOkm>OZ5Q845p2~a
zDJCg$U~X!Ae*nJ;xOjZsx_(p`oomLL7hiLrPt4J0Ly^W1l<B&EtC29~ZE8`;NZ>@3
zd%MP_CXL|4-eMcWJ3_c}hN*XZ3>V5iNjG_azzDwCxK9iy3*mg?wZ}|p+*rJj6@UAe
zAv9{Hs2!{k#J+}{VB6+(c(UN}iwFLOU^IBkx9x-=X5@WhzopEJ7w_`#5nc05LG+%d
zhIWE@n#!}Ja+41Q;~Q***L>6&y&H^5svvTk&*tW;31EV?+rc(w1Gv(ARR1PL5HIvR
z=YJ9;h%@(|d`d{shos$or%5J)D0L~4wCpN`fiK?)$58d*NqvFShdqMWxU$~O(NP%9
zSMT-xd9Mc@)pnHi8G=ZuXPUQl6+sh?hv#Gt=|PRVdDe^3wK;Zv-DN?dNH(Lo?Gx97
zFM%CHp-w`0zxLX4<V`Ugx^l&oT&oMS^pa?~Iw5>M8q#~NQyecSwHvma(S^erJEkjL
zgz?t<_skE~B~fU3WUSXj7l`LC+P6&#<0Y<()=f!LxDYF6*2km^g=U@|BKJg)E9*kS
zQ^ED<8|qthxS0;!y1ZQq!J_zRS7<_it_;?RkmfA!(?R)d;ovg|G3;<R{P5064!@=?
z{aJsB4mBF>lPqT9=-X%g`x%!4-pCO<*maB!EP|>$rdASohW|@?@w5U43wP}Z2&Tih
z${F_XU6M!&)iVznRmAsaB{&<8(jk&|)T$s}3japl9#Q|Tgvwm=RE3Ll@V)yWtniaG
zw$;U)tC}I9DC_Bn*nB!j+P&GpLzTe?AC6aC<xoL;A5IbN9y*xF)4nd<ltp~@&;6(j
z8Aq~@dO9fRg80Q_+jmRK<8!t4I|X{GxFu}U_myy6i1>21bAy`#8r~gDZg8aF#G-Nb
zj_<lq!>YCQ5lIm(reD`*?ovZPMIHk7=z&E1m7YKIinue@T|moE9c_l*xj0Yj!3pum
zQ}9U%`@}9huJzKu5cA$wO_};&xZo>u=m`m5OI>qaF{h%ngoNq^F9V3q=4NiWsEp&w
zPTRjQYhtDN=9(OBL*Qz2sou6*1;sm^uCU$FMB~510Xbqu(EY+V?Sdv5pPdhFkPy|v
z==%j9G<c2SuTE~&`M+e``#E=&#Z3#3$2V_c5i|i?t@8g2?x~_$#v8@6JG3w_E2)iL
z))WM_lLxokQBZH^vUsAB7OJXkkT=sZ19yRwPWdeqG#Y=>z>}|uOK&S5O_`g6B|S1<
z!9orB2c6ql*L26JAneFLTMLjEc)3IVsv559cF&V0G;m+}t4m`90VY-FcjcF<p~CBQ
z^Va9;=qnwfS0@bcYty!=)ao_ez15_vXs?DE@f+?Wo&Z>?=)PBTTMfOBAHN><L=~f6
zANn@h1aOOIZ>Q8wHGGt_O_O<21+|L1&$5VGLf}}*{-=K_SWwcMDWar|L(h006mPJE
zFT34{$9@z%GhwV?=b(fm=RC%f{Vm}rkKbP1N>$u;*I>FTTmju)dvH!3wS-E8)k*y+
zGJfkdZR_7Bi|l)Og~|_Gf~W8FO*1hvicuZ~`0`0(x^{@e)}5BnXTaU2p`wEN8G5^u
zXT)*alz(fCktOWP%&g|3DC5V%@=fikqIhib%r1xj>y&_7SB(-0-%47MgC7dvjA(6N
zVKcxspNNed(n?r<ale1}DnI%&-=mhr17uG}r%DPd;)BVJda+JC*f1E`Z(<7oY2JRw
zuYlil&o(!ibK$>>r<p&k=}2k+^r^#SIqd!K#kj~Tc1$nVi3{37fQ&V_zLSj%&Rmi;
z+SAC2)PIzW$_ExueMx`R{j@YTDK-C#aA(2F;7vuZm@Htg<-OU0CP|Eoj56(XWX3x^
z&wLa;%whiMjByG`;Iix>t6~ll-ZPu?Qz$fp*WNa52S177t8a%)JGL+(pOVjwN^UbK
zEH!T$JTHnb9rbhKteKFcs#8|rX9^yM*{@YRMDUC><FmkVCKPWZQ?9%*fsT;Q^^I%%
zSo|VMJnI`1MlU4HmXl53l>Cct>fS;)oZOT0>I5@hCw1ChxM~dcitYCu5(P24%QDf!
zm<5%C%-Gdtjo@s;a<*iR0Qwhurk#;x#n}osrDk6vU^_ZXI+V_j8*5V90~Oiuxk7nx
zTDu`soeP-b&F4eU3?bItR_u7+i{)7ET5kTJ)^2lRlovP3I&#IX<-334n#b4G8o=V?
z4;MCi^P;2PQczbLC&pM6)(_YiK!TFKvn>lRep<?kWU}SP#@{Inmv{OwEv#be|A_~s
zZ<bv8zaFIo$ryz?ulY%XnUaA<9=z#!a>KDOUJRGGD&YTh&BvM*MOaSppo@p$o)&$6
z415|E=yg~R{%&}fN?7t@u9VDyGwTF#e_q^7EQcPD(v}LxpYvkjOX`maZXs;(Ds@!M
z(FLLV4CP0zd>AewDZfWr7`rR4*@xQd!VBPv6_Mb_$uq;+D`q12Aa5q+-5)xXI7|Ex
zU=~2t=Dp%VM@3PsY|=h9V~vM*uiMwpC5Y7{miLFM#Bk!q^I}OCI?OXOE`H1vM9Dh&
zBkgh$h+#&=DnA|WC>_qua1%m@FAwzPQYEpLloi>~N&{IpT3NoNFqVdoZl6+>#wXQW
z#*{lWxV)h}E%>i6HVABM^!~ISR|%o$kH=|nX5T<nP@f1ESF1J|q{^auY5x6e4;pZj
zJet&guHBVE;j`s%c|1xj7>cu@fk@3nI(b<PZ=0WdJXEfL9QB2%X=XIIeeR=to2CR-
z>3i$vyjH~0I}*_=mNa;f;pH5AOcGC({F71YR>FH$`(;+$X}~&d>9(&;3hf)eOb4xy
z@bpJD;iZ!_cs0o}=I*c_4^j7!IH@Z5BY)rN15atd^gh4qPlpVy?DD$XzL$*qDmqmf
z=4fj<UsHJNNjbD&zJHlDQxy|0<qGGz(c!h%fm}XG1>AQ37w_O_3cei|*zI3OhXbGW
z&t@+vp!x4C`(Y7ve30|E*=MURR4CjvnIBTbTiMJ3VYV8m{qVz;{3%`NzUXz`cx`Wz
zOZML10aV-=-}h#?Ko6KNJYwbkNW#2R&Tq?(YGO(WFP~$KK6v_tY>cW?#;=sMfVf8s
zMP?`+Rv`xP!Z*8>@<Iid44tK3D{JFpm3glHVTO=PEUhfxC!?V5NLyr?HY%JA7j%v{
zg6k!>ElyriMUA&D-=A>mU~&_`x__B5H1y@3c({XtPn2u}=7n@{kL$;dUw=$s!*@%T
z-QsHKUU@^tbxa$Z|HJT~>Si!;wA$BsO&7%OWpy|0*GB2{Dx-k`=3t$dWD{(pj&g=}
zuM$(VFz(eR+qbtYKy=Q(R_2B}n(91U)C|$YnQ=*h-wXm`d4pokzgNc*t>{NR%v3a$
zFOgpG1Mo_F)zbM%9l5PqW`bPQ@rZm_ibD^8-8Dalt54N2MdVF>=OGFnSXUO@OIX6?
z6S;e%yw&l400030{}h*ZJk^gE#;-lHHz9jnuIn0E`5c6Vh?Fvlk{KyqB1xi9G^jLD
zNhFn&M14*g+A=FLLS$xh&7a@@=a1){^E&7KJWnpic*gsw;WDP>9n7$V!D0Jyt{zQX
z+Nl{x1r<C~=T0ksX9=BG-cx@On&_z^errNP3H_qm$DRLLf?HpJ`c#w#PK7Lut{Yl|
z?n%Yh>nAKBOk(q}eTF&~UhR*KY+j8UKAJ7%4p_pr5Hsx)r_^v8Bl}tts}u%KANuwD
zt0hQ2nB}gBR7I@^zlP)!#n3#vaPZ_!OQ;jtc9PRY1=|aDzTdu67*C|>8QcuCgaO%(
zYF}k#Jg_{awHNqNC~Q~l9c4=x?sM6^Wl|Au44m-uJjIQV4tm}cY6hT`%nmfxC}8fB
zqlH3O*imt0<b-@8fUDAzksa&T-~?0cRDdrF$_8zWexnHxT=~PKonH=R)W&$3w-?C<
z8zXJU>jX&MkKySVlfkh&|0$<EW0GlM3wP)}79e%=t5MaY6vngWH^2QkP5znwQs%5>
z0YPW)=toLRB7f261eZUPWWjTzp!E^!Alh5+%Yv^s9(!|k=dFqfve~kg4W65Wn)&xj
zZndJ=;AZbdF`gh_&fcfXbDBff`KG_cz9RVa9jn07`U&zxRdimoyBRF~+o5tzN*KSL
z|KR!N{RCOjJ7`jR*A$4f*`|nIK~z~Q|3vV?BxydOo+>~wh5sTy<Ro<Rqv_Sr_56KP
zqzRWsUa6-EM1~$cxLcMFtIY$-<af`IrBuu)tu%&F@!l_AFY@9a9p#j>QcQ9W?*A;I
zU<{YL_|LjK@*vw!OBsjdIZ{6+Ug&qqTKFk$FOX)!jnm7IULF@-Bu#B+>IA2apxJQ9
zNy?K8A3oYp9^tS|-W6?Z$_+3AqHTkF%Y9A^Q_;DU)I`BUL@{?}n<3!0AK`s8P82z`
z=TW;PD@tVK{p#Ch2<bik<~gk#m~8#oSaly8YNsV{yWMO6d)vJ>JbJ`|R@xk{*3Img
ze%g7WZo2_Y5BvO4e87QTRJDNXTR73<-Bj?=-}>N?mig7Oo&&8z9-g2KaA8?N(#co*
z^r2cOVRf%GC&HS%q^xWn<nS$7c)Y}b^LE^Q%p^{fmi71j=C=y3Pd(ceo5g_n$9(ex
zB3$@a=tJ0k2Yyt3>1%JP%K&1Et!n>kE-Vt}$=&BJi18NBE)cbP5EK6BaMnd`<W(In
zoqHvOnHTE@%Omx`^}!k2lG8lsdS-1IeOMT~a@OykTcZb;zo={b-r+^AnlPFqO%%ib
zxL571qeC8jbmU^sDkN#^G7g;(Ltj2eiLg{UFweA3#BSin$WOM%RA$9d-q>jP!Uj6*
zj2zLAY!JZIGza6pBuO0b6S^2HNC#7Iv*8SDA<W@ED;`giMz(Cz6SrUJLhw%$p&W)V
z&em?{N}ZNLJ?F<xong8#w)#?N+gcI)vF6O<=yqAmh`Qi<#y}UcEzc*~Y!St7&eaJK
zee(FQ+C{KKNEcSI3%k^(h+&Bj+q2cF3b^BN$9j8CU5F2R*>Rv*95?x@?LPWI5gRK5
z?6M_wVQ;{_h52=o`07AQd0wv)CcHP`>$lT|!izyiBv1<LBTJsV*HOWekiPQ5E4px5
zuqj*9TLu@-O@!V&u8KR@hmt?=(BbmcGjBj#7R@e3o>Ayk!)pa$Tbw-Uz&?}sYN$^R
zZ*JMN!^Kqt<H)0}!>{QO@#PM=rg07KKcAIGf1`<|QsLPZHhOTzgN$JvQowJX>#b9a
zsQ6!p^5HvOdXN@y*ClvX5l_YUZ+U%F8yP*hDdE=`(85aEy74RHKi_<n777iU%)QCL
zNPXxUJUXkSp@LiOW;Qw5>0<Va7xwlc25`1Frz+V-6@}tsw&xhqQPv!f3?~>uMO03)
zudf=K3yjNee@I6G@j_#<GNYCH(A^DD>iF=;mENQLdZ^B$TP4S83?7=hjvFUv;J$}1
zW?$IqVfN9)<;J}xklCp}?hvhseTRQIQ@84&OyK9wn|_(X{(tqKx4LWLHp{zV^+tO5
zaPYG1;0|+`Y{;iZi&F7YF^3HChmL-G_jMirxejjfB=^o0Q88uhHfN4qbmXY~Dg4ce
zfb{x|p7-L~Sit7t;O?S}VK)wr#%%>K{gqQwyGa{U41QCdCF)@P<;*PFG{E+kM;rIK
zYU5<+U+x#XsTkCeV4;1?63TC;e0?LYjSko241?J<k+SPQ!L${Quzg;x8GcN~xhxBL
zwiq=OkI|r?-Dm|Z{H-t9#i-c0O=~vfyE5u8e_z|5WCbI~BeQv|wb0kdDn7_i5!r+*
z>4i6~K<WiO=!&f-UU59fvg{;>TydeIw0tYLSM~hhSyc_BZ22$TAyx{j;)>&bXIR1g
z#J-BteQG#UXAm^NBZjeq6N7zzRxrm|`r%lXD&GI-d#FS}2#tp>DtuD0f&_t=jkX3V
zXunl=#|;%8yy)~GnEJyKJRQSY&A%$)M-ivACp0!(mzyk*kYEWH6nNk81}UO~49lB!
z!3(7FC6|)}3YO5J-Fh^FR{^Wo&DMl&o+N#9N{VEw0KATbPKSocVPMg>>izYDq<YN~
zpYs-g^{12KEqi6~+eGg!ZniFRw4UmJvY7yQy5$jfq7)7UEnF<lX(A5|el5>qCxBv9
zAoIXR0;4=puyAV)S(2C=)M;P=7ff|NU)2}Gr|L()*i}3sS>ir%<^-;TxF^?d3_6P7
z26^(^hv__$^;ksdt6Xz<PN{lRd`<}W4oxoEhh~#Wa}u=rHZ!R447yKa6~L^M&t$GE
z-yz4}7Wqpln8Ak5dx^*NSE0<gpt)4dr=<G3PK%NNQ`jml!hZfSHx7Ib8|j>{CX;B)
z$&4}+xcJ8SCTlz=?mwts?S1bv`DUMX=1oo$*f*K-SSo`Z{qFE&#e8odcWGZRd*^Ko
z!-K8AM%!7Dd*gqM<mR8`mEyp@x{9?hN3XnlH-rUiA3L(4R3}+h<zaqJW-Z9>EGmlE
zrC?m$q<=_YH~GeGaBktK5y)f(sx&z)k=6tMZON?fC1oAh_J8d+ge#{LIlM0{kmKbS
z1V>#5$ef?kW+N*+>gvyIe5*fCUaL#b;Qu>J7G4=IUiZ-eR=vC5F~4Sx<P8o!x%a~;
zDc+p%GY<^FHLj<<#EnUYYx$Zl6^)Z;(p;{xRqBKA-`wIYA7)9NbpQ91tCM8Y<-hUH
zCi;+6ETN<kH%mHy*t^%^+BEq}sO8yzl?<5U^CwgTXUSSdR)a(7EQxuh8o`zfFrSt>
z$Cfrrx;!?e4|mRy>()`iR6gm!pMCKcbUS9rjc3p2rD-pck@vRC<$CDBSrKaGYkwvg
z(Q&k{_wq8y^gGMl)=!6N;l8kAvU8+M6z!#`BnzI{k$=A<o(?b1^`HI7I#1T7bf^VK
zv*O1A!FP`&>9GA*?3t@l3*-+6DV?EFHf)V&%)brP1$F<Mn@;#Fl8bMf-d3OBz;i`T
zMWRJC_@-DqdcSFj3{oGs=V;D_<qCOWsS`S2`ZW!I6BPX9&dRMQ&V$eIWS@$%(E;CM
z1J91>vY@Gp5r>HQD*Uv1rk2RnUeOcOBW=ctMwFm#+KLa%sPf#fn_U}ZzBKIKyoU|1
z1*x*Vy&{Nq@ZwtB0V+sT1$K(uXUCaH>g@+&!nmHzi@tGC3r_pX|2!qhiA9-)Nxp|f
z@b2d~vX8^HfWPZ}I`s}0di+a&H904WthdA!zEZRxC8}6E&yxplT4cJ+-4MsIe{Grl
zIhqh~;adF<(^a^d`}G5X07<->;CeV~lO~9_6R)Oi`Egz4o{7)y(s(u+?%fs8gxdV$
z;x5MpadhkY;HrJA5e6<Y-Mcj4{?I3mhfE<XY&@`i?ISsyKFMcA`>X*Qvbwf-If<Z;
zP4qDpVFkSF_WhS$tp=DX=RS^lDT<z3cSeA(BDOjTwYQFFz}rnEf8{1|oMm<ed3{hq
zU->Fw9bHWj?y{79vn+uo&EqZp_9_^jQms^$r3r5Jhq%Y<rSJreOXqs0D&7dWSbSDR
z3!0tZblQKA!P|;0X+G)dsBTaw7uKT%V|um^9J^&vFf`<Qr=uo{jU3s0poI!yUve04
z71p5VqmqU}87e9`Ydn+T*MXV>ve^a|aMHkLOUjrw&NFWJvmB?vVdq4C1&R{7_tz^u
zd{4vN-rg8%MLJYG%QstcQbzitv0yd_I$D?~vfkCugU~6RV3q<EJW&nhTh#QBvRFG`
zx19lN{Iq`>aj9XPTJOWm5j|W?*0ucdL?6_pB#feh)R9?I+}(DCf!WI_EpBcIJQ2fZ
z9cwf&?0d}qa7BH*K6qPJbifF(@~iWLloq~!>guF)NFU>R(|_bYH->YZBcfN`sd#FK
zPO-)XeVh=BB;MtlLbc+>9QT9TxNumxZ6RDA)7Ev02d@0d%S~n3?EyN-Ir1s|0INO*
z<&FP)bj<<=d#|qH(xf3f#a!`?Jp+k@jA|DffS1DqltcGv=)KE+?LIp_jH{JxKcj64
zlvIXA%rFgiUzbg}%tFUqkGZy#&szd7-qI`SrlIXAjm;dKIw+L)huC$`3f|rhk1kB7
z;T7?Raa+qYakSuV(N9BbsQk$<Mhxj7Yn@St3|$R(lw1;fa>*LnCl;y6Y&z(rc+Rcw
zni48SXd>q~Yw&PA_~%#)6$j%#Sjw5mV@HNam2;;xTsXhbkQu9mibAK<6S5_7%)3o{
z^=E51OuumC{)h&qnw{@fO%_HQo$9H8Y-<R8KNNV(N*(2IwMpJJ<;LGFho+V`TEp`g
zk&Vxfsbc@jw1wvCMbcU{<a<NE6<E$QXWhzIxPB?+;}PK@l5I!NrQ}#EaL$m-R~S}A
zp#$Ex1@lWuL+j)OZdNOJz!YqWqbeY?)Fw+wxr^wV33Q1`vIN7f?~Y#MviR2`<<7>b
zQR0oCN2UmeCA2^J9s2&MG%{NIj_Wl{6Q$Chj7?7fXspjk%D*Rp+f`g7;+N)#%gP^O
zuk)<%x3h-!v`G{V|Ja9wyjvt*6y#vO0s+TggfGOd6~?y?K8MW?E)&bUUkfk|E#QUS
zqa?;He*C7QS+iY<0vYXu$5*#?P<+&iJZ#H@@4R%kH5gNX^DZ-FL##Q-WNPS+Y~euL
zsu53VF$z$g=9QWkn!#da;xfkv7PN8?ITx6*Oh|haTe^0dLh`d)&9=siWUt>XlKOgy
z81^vHmRe&9QqOnX8cClaXQT4zY8{KjcKd^`#r#dcqNTI=@$qpoW=}D*VrqeqbV&)V
zePj$ZCqH@{i4BqNk~_J3#21JQwk7e+?8Y!X@w)N7at~>D{@-dIhk0Us)?1Hi@3nCJ
z$0;s5y%y5t)~@|U*XM|x)qPits*K>#{+j9L9iPZPzHOYWVspej6G?-vHAcYw+1@wJ
z<TlyWbhzVWDU;Bc_pgpmF$9ZgqATj-3&MUb+1f9TN$eTBbFFsD0KTSN>PX%9jmT_%
z5&rrhlX&8&MCJw<fL`d$nwZQVgjjil{Msu_;#Pw_`L<0Tq}a2iLpeGL<(JRbb&WEK
zZ}P#dQXcxipQ|gm_i#7CnUy^C^w1pPxa6o8+suHDW2J2`D|-nSgG&oH81uv?!e61*
zg8|=+%*^$g`iX{T3xBV#Ss-*u{eG}?to)fK@tt-}LxkDEE{<VXB%WN>6lDq0gOd(d
z?33RABfhX)nibAoB9`qEXUS<g7!Q2Rv-KV$HZEN&I3!8|fzV}5qZB&4`rc)u**Z=v
zf07&@nV~?1(1z)qa&$ONWrnWaJxLV&s~o7GV}S(6zJMd4y3ix*{a9vhiZE4sS^rgz
z4JHbnrj_Q?pfbx#oh^Tc2ogNVZ1iJ?)@uE;F}*tAbF2G$ZXlCzYb)ne`OE?QcV7LS
zqv=3*i<v5EKTi}#|5v@yiwlzN&+QIBstubqP|uq>EfVggyslIU9ys8UQ>XNU3Ku<h
zDexa!CQfT}d|q7O1-tLJ^rKCv;5BsWR7oEN9L?N%H;eJZEzPo%e{X5Q{<S?t>$O>-
zwN~3#aF-yY=y-1umeK;9{;!T#PP0K6_a8UYaUt+Ez5M&ZMNMc?bi7=!iUW2k9Ejp^
z6M=iz8Y+qvG~t~~fX|s?PLO`wxu?5P6q@3bUMQApfbg@Pn|TMg;ZL_1-_}@h_?Of6
z#LrU$KCenT;pNK<Zf=hsaM((M50~U3r=SLWAdYtj$MM11s!`7zQ)wvAR0*GKPzTSM
z=-Hea0q{8;O}^c+8k!r_&V>}K!|omF7ou+oLDk9mkJESMAggG&TI{MiEH+kc*IgEd
z8NrVNWugkeAG>X}z%6y~sVn=*JR}PDjJu`>Llhz9c!v$MMjh%mPfdOl5r-Z6|N0Bs
zl;FDm6DMu~4WPYt+!y&(0&4EYdkhAu04cTfkSkULC`G)pr|wGuM`3Cb7rz=%Y8u^l
z3u{8m!nT9<k7OW)GqP>xd-WCW%5f^UXhP@RwcVaAvMXHD)>h8egg+ZhCVsYP0r~YE
zdzr=>XcdzVn~SD`631ZTaT#r>_0w<9`=S6FYQ1e9`s%=JWOR&et`3AJm#_aRsRUD(
zAB{9S>cVNYf8Qhy>VolR4tMqlW#|!04>h|)hkiBxotHk-!FkWqeOk>b(7MeoJ2*}c
zW(q8ei&rtAcTu@b(^?Jo^N*A~c4EMJYTY#FA$?%flzcr`st))3kCdNa(FgB{@RxeR
zh9G=}I-4q|3G40}KiQV955t!#gbp<tfop<;Pu*cHkaSh-(dyL)Cv#qPuPS4Ru&fMd
ze@zAZu??nsSPbBpMHlFyDV&UMOVAwDhP5h3+8dhmL2WR_ZMMN2l(#ScDOkCKa0NE{
zUoU<5c_8mh?q3Vwv#E6Z?;Z_a{CoSaC6fU*Pk+AgjRHu_`r4SMs|zoSqhxYd`kFU7
zA~d?!68_uvC`2G+<^C>{x3|mF!Azp5aKYRPYW@tinR@8LfqMmV*1S5fCpXpk!Kf9a
zjOf1Vo}|J3g0G6kiJI_e(|DU&oHcxw77o~AMFXn`tDpY*pbD?~Px1-;vIawYS5L1M
zKl^P@zFZ}j65LY>dD<+v9$Fctlzt9v_|*SPtdf+4n5*kKGNso;lo5N;mJBVpA;f<)
z;<q@+@3G2>U9<+Tv%Aiu3~0df@S5$P)(b+y<J-JuudHD*M%7hRT^;srByQd%*ddX)
z)N34K4L9nydb+x(!gMp<uf8@#3@x2B>}IhB`-yE?uUGb7oUtaP>*RNWUsF1scFGDm
zH`-{VT~LJH?*V$2fvx1WIHo4>SwXjwr2VFpHQ*DKx?kznDCumqJ=!kS5(M|(h$p#a
zK{|Lb`tzY#Qbgd*`PdcCvIj05$#^OS-xAn27V$2TZHt-g+Q$Kk4)5o9oh=T%r4a{j
zO;J#sMbcxK4M0>jP5<s=5eQiGam-*XE9&J)p9vKvVDG&<r_FeTAfnZeTKbO_6OWH6
zh^ttDwywaGiT*0+K6gU-AHjyQ6kafbb+D>1fin7z6RPaRC!4L=kRiD*sM_Bgj0>!H
zzJAXN#s{^c?}@PC!o;Bmd$Y{oZqnSz{5?yA^kE*uNRkzKDtDbN{A3DF`r3)%vopkE
zqDy<?c2<o4`Y4sM$`oj|+p*VtoT$FKE^T3m1^pU!?P=d^0_MyGc>(JIBHpwq%lkMB
zDvuu#sLC;hE$IfI&r*LADp$KMjVrTYOx?m6xyiL~XYtRS1=V`Opv#_ZeIo_G^#^Us
z+O!s)UDx;JxP70HWj?7qm`y<e`H)(&#0Xlzy6pV^YSP(_n@B%MK~)nRauhRy`?T8r
z^6!o0J#Kfu4*?Wh{7Iot#T&vJ2br_Z-W}vXrsMLvC<-do3WpsTF@WHp*ROoyddSiY
z?%9ew3MQYvnN{Xz0QCvlxy*sTWYzOa!{_=bXu`LgcA!-s4j-XO-4_@pe+4HDNjtM(
z_q?&?r4`QRIeg*eJTgj_QW6;=4J^2t7B<b(!hoR*A~ljb$4T9QGy$6^R@4&RRq<>m
z1IAlazVA1jBoz-tR9rG)!w{uR<?MbvkfwZe_ve}>%gxGrB<0z0dE=zht!O=%Z9d2R
z+B!p;%;a3-ROP_o{>jBw9z9rh%X*h`1(STVDQ%(CnG=0<NM46rI{dmG^dvQZo(yFU
zO9bR{A=~AR^As~WWPVpZ`0vgldH(WI_dF>cG#OcbsZ*v4UlhLa$-Z7D%YVH&)bpGd
z*#d38`OMQmt4^Wh_c8@puPqaeseJf5;&}3?0}WEW?6*4TvErFy*YftH2;i^L9|_y;
z=)k7y=VXfxvEl9FiF-p{LMY(9|Ay)+9eBnz`rp8hmAt9NU-J8`Fj^?s<Om$r2DZ|8
z9zJ(YjPuC+wfI{E^G}gChNr0@MLFTFHp+#(BVz}gT*c7tW{Ll&qg1dot#1jr&x0Rx
zn%+-!i=*pXm7+fqRET+Bet>#*6~?|l@{)R45>GvpvMGO|1$N>#TWhcKW7-9(qgtdi
zx}12vgC$A}=$~ATe>MoB&64zLzUb9hmEY^rWT^!Ty9eBc<%BWz-EdvYEje7<%l;}y
zSqq%xM!m~IL@@Af@KM`^HTdeNd^<y43p!u({AFM9!}mgV7uLW^-i-9gt~1br@C&<!
z(mlm7){<7QdPND@CrqyzhiHL2ThXT<6iIaNn^qFxRl$7QZ*8~VY5~)@b{FHF6nb1e
znTKao@jJ!DyJ-Uz+IwtM(u-wqlU~r@^P1|obL)T;#~c-wmIUQ|%4D%%jO9UFqXv4a
zQmL)&+F-ux($$bQdDPle(|sph3yXb7jSY)Bz^k5_=#;5|n~$Y4eKu($5qP=U)l(Oa
z4`%58c&CV$MT>V`5u{;hbh!8KqyP7BCrXmIlyS+s*Seub7Y7^`FZxC4LE@LaRz<EV
zm^BVha-Ps}P3qO;>?{U24a=D1-&Vz^EOnxP{?o&^?l(r}Tl8VlmDc)fRt@tEG-_|k
zGSGb4B3|C!5N0pSg)D4X(Y@#U=tM39|Gn~1tNdjIw|{T7*^!}%oq;F6o@X+U&flK6
z@tiSSc&k)@7gust_xaEmIemQa31c7bG=;+Wd6%AMDki`A^y?wJK7O~#ZIQ7shvj71
z+4LH1?D(6IM-(#fV&q>JO$7^}*)inksXF-aVd52OZU!n55r-pY2=GuW^rVQ=u=slB
z{lAKOSnJj;#%KYEYO>=z=S{<qf5m>RGrCx!+U;C@%MyCdzfX(XO~Z}~o2h4JI;h6>
zXvTlD6<qhA363k$u;}G|79pw@(#<{G656bw_ptXSzRNoJzQx5{vs(=#7J5JUt+$3`
zf5%nbpS1Cz?r&Y6BxUrh`S01qBx|UDdvn|ssc4m|T4q60K)*$!gti;jP^QH^k`%9n
zvTcWKUoxe!Cbjwfzy)hK8ZI-oUPu!qj|~`9@{6Iov7OoAK5N+e`J4I11a-V|(5JvD
zf*;FIMe>eQt--sxGc)$5DlXHL5?{-(<1H?ysemRcFy!KR;h?61v4Y;=WgBP7vb=Q%
z&xTvU>QcWKw)>T^cJ7GQDXm`8h*Rboec2Lzn7ZC7BNY%0H`jiDaD|i~5b)ZOVhIYt
zhOvK)<gv4&-a_?L2XWfyN#iyFOIYmr75hziHI9xa4xhX<M6A~6qCd!7$(s_a=~_}!
zXcnCy!ap=ll-4mf8OZ<yRS=B5&f*w4mAv`A+%&=BwMg@}B_NkjRj+z3g4~<}jZ3Pt
zgkPH8=6608@W^AI`$<nByjq<g^T3Kp9H0L?nHIkeeypaQhuwTwF;~VnQOG1Bu1P%L
zyJHUdMX}cY(cHL!#pr!sDw8m&Ex5F$$qY8WIdD(p-^yHexPKAmVG_^WTzK{Q%s_w3
zu8Q0@EcmwnL=(5&EU{%r7h~H-QxI^M)1-ATl9P;*HXH95f}At0+IhwVVv^lY^R>^C
z+EZ6|&h4BgniLxZds~blPC-5GTF4~n#^Sd6x6c&8({w&2S=$&~Kk@_>u5d&mz9wPW
zf0EGOQNFq3_*y8C<)19$8z5J?=xlb2pCFnI=ftmf8bPw<Mbn?7-Q-K<+sxpSapH`t
zkZOdL5u6rr+O%7)jr4MUI`(&NjF5A@nk!Lg2>b)~!6nxlNZqqs`zH2|5p}0s8eGH-
zVMb}|vBa=<r05;O@ciT`VYt!ObKtlE&_y?_4G}3JFB!>|FWep_Zp!dlmCfkG(o{dU
zyLJI#!)N2xa%hzBs}hw>4%Y_>E#{9W)vt)SI^*G}{iDSG=gaGi2N@81Gq=O;#%E&m
zQ+4|AsZrvN&pCnn!3_9*jO(TF#s&hArF!G1QR2(iPtos&^`J#NW&sDj6Y=JM_3qNf
z2=5mUqJks!K);5s<b>TX;-rI1rPb3hq9v`i=GYP)PRv(q_cHAy`ZT@uPy3A%W73W#
zGpFb<6|%P~)~btGS9`C<#9)H3OlQ_t$kJhq%GF)AzK3}IRIkxldy@Dc00030{|uLB
zAk}>o$Bpd0_a2vP-D~gvaqSQ-Nis?zqmWf(l$23Dh|Ew%A}Xnj{=X!nl9i%JMzXWY
z=IP}*ug;tA_k2D>&;5eWd8mPYdovxg^#m4FQ#+z$`v?0FYn%D*rYf-4EBnwKnZ))L
z1fEQ}{TCCm@t^T+R)Ok${|SE#na0lcDp%(*uVI0UI?qjam0{TUyxxh5S!{AIQ|@Zz
zI@a+y3oJny{MyxjrBnaLimMlCs^T`WgU{b21tll}l%-IKzFNSBBu~dUC2wQ;R>$qz
zKM_G@p!#$c*AiB9q2Ur&=PqVVKO*a-Km=Cz_A?!qma&JvH=Uaa)NqZJeOD_^5e_%L
zTs_6~2eXWrNV<HT2E2s^mf}YhVE=)h-`KOi*k`_+v<8kn(9O$nBEnh$1n0V*1zlak
zh7$U88XD=~$HDEa1J4PN6UBM`SnLMY^Wn>RVkQHeYhKwrtxSNHVa@Wg@-3{HkM9S2
z0TYDr9&0B&kcTSPmpYydyI3fv*r`v0ED$_Rcr2<a4;>xc_R$}yfa#C;u+0H>5HZ|=
z<$5^~PPw2~p-Tfjq7H$d<2d0X4aGg?pd3_r8+o64OAE@kx+ko6xS$|MWVh{)EU;4v
zmI{Q^!G?I^QdB+<%v#0BvD}x1vNNu%L5CQ?#ouBf%Zm?|>_4Tnxyi!DN9}npS0>mR
zwLJ0jr~nkQRxb7sWnqGd42an*aC7m5+{=qXAjvZz?aUwxBW#cVQ)Xp{P|iOOd^$xy
zCRt{Ab5#azM>33GbKwLdwP%|ICvj*ieAL{xD+8V+uBTl+TyXVj{#oB-N!Sr8J(ejg
z3lGE@qL29UK+;@?`y`Vz^nFN?&+wFmWGSxAiwb;z1tmG#70W>Cra-~)J6X`JPx=wT
zDgZusxhis%gNHjM`Bul|fSjHZXDuWIREzpfiCP4x5WZ&<Dk=}2(WHs<4kD0ka+B*F
zK@m=WU1lHTBfy~-^v8cZ5rY6@ro%kyN+34WvQcWU0FA1H-V{km(0;PnPHnFOjLhbC
zw|f*J$Mvf%Tci{mGrU`ghpK^K=z|y8rApv9KnZi6k%m$a8zb{h5|E3f2ED(iK)eQ>
zewnW<xXkJvkRBw%cY4>(&zdB7!+h<K%DNo*{HUVlA5aJGra*b-CuE4}bqmYCL4Z_h
z<+o?*HGue#%o*#c0WEx)<J+=|aDF9P;eDtkG$qyfvfF5Zn#`VuF;9u$Ii0@#dRr3&
zRBz9@dguVFis*ltYRW*<6x5JG(SiqoyQY?R^<XAhJf4`M0{A2U*hF0|7+1ajXaAZ3
z+<7VA$&IUm;tj*oC;K#EkDNckj~T;IsODDxb2V7#UFH|$(S)16LP6=y0K%Wv^Nwhd
zAmxJR6Z=JV(3~y!IumLFqdgK2th`7-h1+f)4JAYBHFGtuFbZ^6R|z~hLxLi|=A)Ue
zYQPyNl90CF6k_#V1%iPD=OwIXWL%Y?SNAua`L-!EhgQ6!bgIFVSld_$Ap-n)=(F!a
zh#6eDa*Imott#Z7RgTv{(r`l5%kj$#Gl*RzX88K5fVv@Lhz+e6a7dq-NNP6&hx;rz
z??)vdoxJ|0mWdCt@$8Jc3N!GG>Z3lksR;5eGLv`mSfG(^aW~P&3~c8)Xiv~6z}shV
zk!N@ti$7|@DamLCECap5;!AQ+c5Q1Xp!5gUwztNl<d!M;y{~HV>z4tr*^$%fAH}O2
zp+1M%6yilj%7R}@0f*=COQY;nJoH*Ct6L-m(yV{KNePgEn3je?H*0Ftl(YBg?z9Q?
zkrb`7FN?sHj4H`59(0J7D1Fex*#uJGUNI}~5CFM6dmR-AMkFkBIT-%{z|?<XGvp92
zO!-&UXxlO)cWiZ^lo>!u1=rPUqFhkJ^!vHmbrxj4w)nj$4ugoMP9Cslg$Rx2MLSJa
z6x<e2eB!z>q*7)NR7}%D#xz@&<#|@59Qclsm}>;dD%PEb3^btDR+bmx!-^QVhtE~i
z8$$X%DdsW5O)MjB_S6|wR-|`XvPWpb05*iL)>}F(V@zd=6%qX`NT4S8Af1Q-oIi1A
zCfRQivl=k+$PZ^hS%&XIa*ygmot1_`y#E)>E4jNzLX-tf{T>hIFVq9cq6<8oL-AN~
zW9}l>!HfiMSbc6-(1pDh3F9Xo_u@236t$i-X7uC)`}N<Jy70YP@9^yID6V7iuBS1C
z8I@<cGRv3fK&sQT=0?g4zRrC+(Jzb{DOPHIn`hR6o(`wQZjVJ=)o*J>K9?D3NJi1l
zhiHR9Wmx9<?iE}>saxA)f*Hl89n$_bp#{A}m6^S}tN8r4CA5Bo1zpQiU5q}i1zgoe
z8wTqexSWW(ncor%;yBRx;n{#Dh=>#Q#6N7~`!8zeZq%|Ok5L+lQ^z#nk=dQE<0e$d
z(uHK$QNo5&<7Kukk7~fZwVB<F+tlbrm!%Ku8+LR$d?=6atOj@=m=e~Sph4?X6J-(f
zoQTd{RgFlk0e`;{XM=S2pxDz})ALQ7i1yUV#`inwV8upyS#ygHjb)^CmSu9G;+p~M
zuG;F*>=q*|vP_ROTDC%B<GIm||L9+i4UnNbP<l4yBqMr%Fs<-R3J-Fuq`F&snGD~Y
zUvstmWI{^wG_-!zyy*G9=16r-GEgDe=EG4eXlteH;N9PRsE2+!<n7GAJX;BgR;jQd
zX+}B*qOAZDYkEXpE+@g*-H`-^4R$1WGhJ7+RS+FEK52g>hy>eKj9$AzoT&fTw#%T0
zFgp0cgR_i6g2zr>9K;J;h?2Y}Mi3K44-4F+Uy72TI_lRvUphCUU-c@VUKc}q<obLr
zQIlYFuv>uK#Dm<&o|o6GNgxiIay_weH83UnT<E0ZLkhaTw?45-p-_6OPkV>eU^7G|
zMarEY^_Mynsi{h%{dY@ptXI|k{rQpxLXQBNmp=UKlba0Ep1jU;TYv-wd+P{AE<%VV
zX?W>rfh>AhsyZxfP6FGxFFISh!iYWZ^>xYLawwgw>@9qi1b;7Z)M+$`qK=f4m#VA?
z$k!qLr|TdIm}Dkx>u-spMp@eo&T<75Hd;hAWKD(#5}7i}#*!$1o4oLgoroODbC|=r
z$lzDv?Q+Rj3e`7l6UzgY(B}R9^;3cB5WlzEuhUW*^@K7q#=KWXS4BLd%G5Mqq;!{u
z(Mbli<_rDQ;Z;TD<gVdrW=){SmOFj@WKqlquQgkW8mej&YB@}+1<pAs!`EZwP)L|q
z@l`nzDknV;*(0P4!EB!uwbJC#)YSE-!T*tvrZ=&SVXqF%$x2?onoB@TftRC}zmw3C
zcB_hgnl4=2PLi3+R6r_c^9sp~WORd-n$3Jc4^#)g@;O8+qBt<PHOD|kCUK2Tb<PH$
zW8srzYD+{E)vssQ21v-MA|Y=5ogwr*-S4n}jfjkfRDEkNl2A)txb}{YF?f}8vmJ<1
zLYSPmw(Ni!;`?uFYdjN!!JRRN?mi_{suFf6*F_a^U8@m*a{v#WBxM4(m5^x!hnabz
zGCJ~%eUg5U32Y^QuCQEGLe<`mNc}7kWnMk^Ya`AC1YJh-q^gw=mzdqwK2ZhqIDL##
zKV<?Bc+Wj3(N{vpzkbaUDV9S>aio}An*xFToc=CpL=^VM!b?e92HE5|e-t=Pf!#Rj
zl#8zvQDpt|)#MyW^wPT0l^8{VYe|LP4_+%E@17E_SFWPyQ;5{rj}a7*JIGL)d5?f@
zs&jgVbqgTBde@x*HwyfC@q=>5R~~K74Dk_4co5%9wQ_DU1t=m~tz;=VR7~J!oBzUr
zro?@d*q2NoXJ6G$<9iu&$jZ7R^e_`@2tpjMi%sC+O#@6gNE$U-WqfLBrA5s`)dt7x
zO`vG0eA7=@3iSti-d*0egUj<SQP(d5P}iBM(xgkEk11nxrtkmav=`HL9B%@+KD!}$
zhFJ`GQk0Tk4KCm#^WRf7hyd?S%1Qmn7e=YiLxa;RCh=0X8mqws4D@oC*xot{B33H;
zYkb_JxbNE%qv(2Li20Q#cv6cW-K&y1drI^huKqkNRCLh@)-TR9E*bJ7i|ijAmu~mr
z{687vR~3!mMM=&(?*MMpcK8LpvDAZ`{*o4%^fCljDlXrq_J6%$=@yey-h*3&pWX~E
zGXTNIm*azS*^!w%<7G+nPk67P`Q-S#KDfmsT=}`eg3g$={vAF31uu!0@Nm}G2kT^$
z)Pq?}h`@Eo?nU7@e49?}+?PZ>pxLBLxF64e{v4FtsPX!Ni%G69+5OOk$}ZKn{?F)8
z^KNAK_Te$yGt2o-p}sDNviUubmfeE}HU}4i6DRP=1Y}X0r33LMY`g{?H0WN}b2sfj
zQ@DHm@$56(+ED%`#%g~BHS$uythSQoa01___WV=Y;LMQZrQ1k_biNOLR=dA|NBUe>
z*Xq#%vs9wD(AqAppA)8VH*E=@=aJRoG1UV9WR1$GcRP4dZCHe0`U<|Jd%s%hg(m3i
z=h)Pm*~YVej<6<|{KZd@M$GKUn!r@5@ha=kHhu=|{l0%#!^tew5mz5+0If|^Y7_M~
z{%-&B=xe4;yy%F-@aunl5=qqjoHW0McT#z9-ErT>H6^07*J{+^6-DF4O@VFvyOjMM
z=e}K>sX(J#-dG(t|MHYcU)aV=Rpfq~X;Y(V;fvDt@5xX#)7ELnyMwPvTSVWwO@nS<
z8GIJ*LI&>PF}e2f9lYj>-L?hG9+YtQf^qdC3Apb+j`}mbi`yFUJ#fsXL#tQv1elUY
zVCA*vtZy0>+RN?2H*U^=J`hG3^A$*tU&m3BU`vf=6HNs7axo!O-xuw&x79%Ch6{(k
z6b;&*_fr(6VnKq-=#BiSDx{_J&Cv4DB1<~4T2X#B)caA<=c%qL?2P?YjgsDj;!mfI
zI~?Ia-=36CIcBMVQb^5fhy8SjyFmE%pD|9<bKSL~VUG%kDN{c%D5OVU6wYrcXmcY+
zQp&}ei^^c_XuV{_%ZS7_6FZac^PtfmT~WHbO3<@+AIqHzCM0;;Su&i=hqCTPvz@=C
z1huk^imiSu$Y(L%V*fBdVz|c_@t&jv9T7LMm?LaRm#wBLyjl<mx8188A0a|opVMsF
zSq}6m{AZzYsW56edAq*4m<ScMTrKj0oai~NKjFh$Q8dYOgf;XM5zcj=cw;ThjRs<O
zC=Bcp$lsrO{c8Xbns4+T=ndvUb(hUkYmp>U`@E#T5J7}XkwFX&)4a(4?iPI@r!=zE
zKYl|09uZpHYYWw*`O$U|yN-US4C+nf5_maJgy>GK`>!+vQF6-nXV(^G5rv_}ecD|K
z{E`)^<`{)hKec*2Z>&73e3F^ex}yZTE^FVccSTU_l(Bk|v;uk?_dfJRhcdvC$=mPv
z#ZjBnU!^xaiio;t$TXr?1v*=b>+J}VC{akaGCf%drKm04oa0l2GhxTlgAPa`-p7@_
z5!Nbby*P5l-;M<Ff(eo4Nz#b&jFWkgN)0(izVCahL57cFg=RsWGU(yiM!oHWB-Hy7
z%%wmbMrgBM)r-iX%VN6bGlFEa!__kNF<1jEMrbt#|Mjq&q1~&}Rx)a_<Zhh!s0o+a
zK3)o_BcSIc9P{`QbrdPjeRRlP8${8D$pn=mN?T}R(M9SgYgU(0a9IbstWTcF*C8Ta
zC+88~HFYG;`HLa-i5?hN6HMtGmC#@qttQ{9I-&}=5m^>*09!|MgJupWqtyEkm~Pdo
zqXysWJ+dA~@Zd9D{Hm-9@;_;7?5?hk{tQ2%Wb0t?x3Z{R?~MwY?VoFV=|e_$3-aPQ
zqX4YpN`(64RFPDu9@Q&161q#}VP9iw0!LF`63Q)9k?c3iU^^XE6tdH15l2e_p)U+}
z^HQp)d0^k|AqOR-`H)KLL=FW)^X<=N)T*EcnAZGFP(V-5Ue283Fa>ely+xPlRZ#x{
zBK-GF78U0HEbn$T1(l<ZkT<_F@-i^xHAs>|Eaz_Y&Lo&Zttj11zd0gW9Y8^hWuoZb
z^<%}7DW-se{dY6c6_G&yo!?!#{KzBS;rLphDWo2k_$|S&fLdbNR*?`F`eD~c5i~Fb
zrieX#&m-kgOpKjPqCX>g$Js0PbdCZHXAjZ+=#fP(dKAq|+q?Mc82wd-n-uUhh#&Nj
zmO%lJ{>#YeUc`Akzie#CP@wsD;mz4#DJ0t>H)K4~kMEzUdG)2*1UNT~W^3{!kjqWn
zDP+49ORA1tQPMMkgro^+jUZ7puB&@ZR(~90ec$=!4GvKCcg)K@KnRscJ&C{3Igh38
zTsu)~0Wes;lko5kKO&jG;B{AA#)R}6u&sOy+<Mj|Nq=}y>F_U}&eA`apBwWYVy!WV
z*Zg|Qc9jc#v`K52mR`ly<Ba;GKN$g+2ffebOm>tTfuEJ{UB%)hvNogF4WT|d;M-;*
zGkQcdkwlzY#eNc4e+9`K!nRkm-~1>&qF;>Aqq(t)=?sw;fBoaGJr>c=4`tILY2E|h
z?vMS&Y)vvyL54mwnea-gJfuQT9X&2q)BVM&=l7nq9MFT_|2Pe6#kTOj>*lX@nEzn3
zN%5T*rS-stuA6EqauwH(oOilKvw~&ud&&$3>cXcTa?IwbWqe-ug$4iC687tAX9#nv
z4iu0szjn>|09rt$zm4}-ug?upEn)ULUN@?wbO5<M^|)+2g@^kvavTs`#2&SDnMKBG
z!zt!efAxoBc<|JaPNU@lX0YYms`$^pTn>@uZ(Se4%er1nUXuHb;lG?9!d?qXyP{g}
zPk+MKcXJX?uFhfEHa}!E8Z}|RPu8k;(K~#c_tnKEhB+*%uK1|DnkINgM4QNX)ZxX5
zJ|WX-7Q@DoJE2$u&K++k*w=O$&)Ljt>zbOuiYO+r91<EpDAo$Ln|p#aeEX@LSU-bt
zJ(J~Y$W;f6+Gf(K#2f5*ou1F>jv0(mb7_`MTpi>mf5oydzQ^uf+$`A<pT+EJ?sZKT
zk%91T%j76a50=x}zravEi+v!Zh-fI0;k2RZ$A^P`*bn9X?r|}57{iyXbA7cWNdLAJ
z*>`CGi~Tk?*?nsstND*Dq3)k|WDiSDB-0FGrxq&>zl{9GvRpEm^Q+Wgm@{f6-QWk7
zyJ_?wwr&BN684*>`Kk)!ONY6F{)}L!%7vyhN*1w+Ft@8$m{p-}{IF`mvoY-M`!{tb
zo-JV(mlg6EOjID0VLFTu_Y<4j+jRHC)H0Ufc|$NHN*RL3r3%h?{KC514;H1H|G|bT
z6HeCQN>Kgbw6(?2DJ(_oT!+>BznDov+uwEuC74bVvnn||gN@Iz{F#he!_xm2Z{-{&
z0`Zyq%;oYq%)^grd(M3WONeZfS9_oczwhzF4#NUADBptb58uLyGsmA@r%?n2U#>!p
zgNvBC=wexB+YY9oR@7MMp#atXw?nk*mas(Kls&!=sX$(gr}|q90e;C9UcC-0SagLE
zt2-|Zgt6Q==2j=bxV&TK($pVpG#8mU714qot$ShWJ$Z;}Rk?7nZWWv1EYbVwL<doi
z>YR#1<l&^b*H}#LI+nkBUF^L90~o0Pip|NEgXs4D<%ZEsOtE2SGuWO9?1Y)VE=bBj
zn?i@@ezP4cjJMSK>KzuSS2g%gy-F6wGbXmY&rw0=9#cCBQFiEPcI4r;kcA@FN)^H|
zHI%QceHuT@3A?G*i$N1Iu+r=pUl~XXZ`OhF)e0AUR}>L;`%ebM>s<YlmFS@LX!Kb7
zT^`tPTYg*CN(KbB<vH>=8Q@RxaFOSEKG?ryz3j*;11THZS~PM@;OC=d#~vyGifa$D
zz7I=-ZBFJ(d4CoN@D#H=Rwe|u6W$6kzLf^2Haq_pb8O&+jynypi$cC*K>Y1j(l8KV
zA<=o56QqS`9@A8cL!K9JU3aH6m<i2}E%$N3mtPx8%T1EtAiu;}yd@2@Y$v(DM({vF
zW<oyeK52*^wrVW5mVtNJ^gVhrK0u_hD|gpqVE#t5xp{*OB%gS0^i^8`>gyb}`<vt-
zJX)f*%2^g(te)fwI3xsDrw&gpKO{hYqvTHpWjV01NmD+RF9JdtS?SY{72(*YcM-O_
z@<7(sUasO32d{_Ry!72l(7^uK$MPBhB+NJmC5}r%y4B(#Z(3EjMAz<kOimF*Q&(;s
zdMgD|0t$~Pk|g-7@5-zoqy&2zDq6mp$iPo0zdSo*GKl1eeO~iZfq7UEU+$EJl{~$1
z(L?GmX#JQzoR<XUk4uEZedS@ZxUF;Jhz9f@t~wI@fDB@TYq#>*6~JM&OF-LL6aFUW
zdc=fkz~f=ux#{2C3jgiIo?O=iQ}k$n_JS5X8OjN_wNZjgnzciJ|IMRWHYdM6(g7NG
zhxVpUWw_AxS;V|X3q*I!h}kUq;FuNmlS^F{B16047c;fskl&k9nK(n}e;q9-?x_Z2
z8>WGkB3khM)T!t7yT(AQj4JF@BEgEEYaxfeCSV6UiWh1D!s+A==0}sDlyV_fVMQGd
z3^+`z514>}bL8uvr6lO+Xm;~CKnBZ49yu+86sXzLmH4`V1UB<h7R>Fckn*EWJh#Ra
zrbC#O!oB}-dTVz7-WVcKwogP|I%)=V)Q-{-yK3-$LE@awwj5}`q0JU<H3JS8I<^D7
zs=)u*$Za=R3b=GslO(pyAavvJ^n{}d<c?gbc2E?Ciy7x7*LMExy(?{dGnIfp$UuRG
zjT^+sHtM@QW^g*$mMOPb5ejxVq|7tuApKQ`)#+F>$Y`uDalb_X5ecc?Gwe$k(^G+7
zejYQBe;9D|>1jD|7+zx%o@vDs8Ok#s-7<yP7pqmz^khK8vmp(5S8#g?@6CQ{Q(!Lg
zJsQs~1&0aBl?6>yNK4>b+oT@_PPEQ*Os|T8t5)Jl&38J)bIY)x;j;;_eb|X&*c5^+
zuYjyuIZUY0OD(sTVgl&s)HiB9ei)6r&pfZqigvX5N-jMG$OyMLzVm_`W?3!`tWL9`
z3mKXrV*mX5IO0!E*kFfn>c^D}Gwg__V5z%y9|kyq?S3T(6V!h^6+t}Bfu3)a^uKd7
zhP>P7BM6UZ;jy#J&5<|`<nz<wtCF7)EEoqL>?qjAyeu}Y?zwWH#lhh%<r{{;&nlYc
zI<$g$LdN0_4+m;2vvgRfH-K02pXCqjPGR9H1$Bp>v!g=UZl-H1`f%kL6GPg^FPNZX
zj&i9JJ4&;)>u1r?2da;^Bp63B@Tc^~Np5@C(bh~uRB@ah@Ks!8pJeXG&k-Kq+kV4_
zZa9+;W`5R%er8|uHRTDs(W)!3I-d>YxU;qztLuXM70XjBhkxTWoFzZLWU-<4m&aXs
zZ|lI;i*x#E-OG4>prL!<OE#oDJLgcoqYbay`u0KIDy~9%rYw+(9j!jLj4lt*hBHhi
z3~OSWICJ-i6nh{$x;F3t`!ucvAJ)C%mQU>9T{n96t+8^Td)qGd8}3?gL_FY#)Iaau
zO1@*4(#L_)j?wZ_k7>g2D6MROE)BY4H(s=TiW9XDm+u`qqY3#Y<<>_Z(4sxB=%lOG
zI1$IqJi)Xz4X_I5IDd+d4yg%9{5W%u3(dCF7HTE`^XS1v-G{OCs1?^7ZTI3vS0Bf3
zPsnKi|9o)B&m{(=XfC7`Y|4Yas~*nof2$7Ys;g|2KNBh*G~*H1=S8$cptAK-2V?bJ
z<McnwXg#(0=6^PP=*Z`_xilelczo`mCC5!xbjJQmOJO)a>Kf5*<@-p6IQ9^kJR^2w
zKb03oY!W~@$_H$063M`*cHz7$4JYChQtqHv6hiMJ#uJ+Nk>TPU|DqquoJce#m5Tn6
zFd}Y_{8bbsLyAj8{NxH3a&g@87~C(4o&}Cn8!wY!iNavKM9+in*aR7K@`<BQl8;hH
zKmGG@D@zwQC0@jPy>`#&sswr<!=u34M1s3&u_ppg@*(<(vRHv_Nz`B;Cc0Elf`!LB
zbtcvPh_5P*vy@F5>4*+|tA9g+?$1|RYPkgwXZcU2Wn~%U6w|xh^_2vo0;IB#Bq79G
zFdOjws4OyAqAq?!Lx!>G+{i9r5md_h(;ubEq4U4Tm!=KLKvj7Abu|)2nUmI<7Jc$)
zOfub7If)FVF;>G-k>W`3NsPonaRu~=zTZXcHyOTJzoUzhmqf4Cm?TGh6cL(fNpe1;
z4lFhSe3F7v$nuAS$oLZ?+Kz6mcivG4-E95kCtT7fYNXp(b6E-LGSi7URA@lvUh4I|
zTrwy!EIs&&j0y_zo^huM`NyT@7LR>+Wl=z&9mUr`6-^n|2NgMK!D;)~+sguSs6`r7
z<H>3$zUR{2EJtl<nh+)^3(BL<QYqfgH`UP7w&^=Z{B?lc$E>i1lYl;qrip#9B%w2b
z;WuTobs<2I-Y0*HfW)<PGou4Zi0Pa1shxg3kch2FjQ^~FtVf=_atS4&TO~(~uFD$0
z_0XEI#yg5AdybpB;s6OzpVIjx5^4zVN`D!q7!eVxl2t$T9uj(*?GQfy)(A>QvLYgI
zBI-1c<2U9}Ly;{uy=Pf4_#XfO|Nj)1cR1Gn7sl<qXIA!ltmm<1e9rSA*~*BJhLi?P
zQ7NPdMe19U5g8Q~3K{vl71?`dr;t6e*U#_YbDclVb*^)t`*pjxg`ImYq=YgwvTc29
zRFJjZ!;pc!06Mm*)5B&;h;uZRUxuWND5LECLhk@J>ILqG?bc;NN}ER=2q=i*hFX|3
z8S?ieFewNsp_!jbs_!WZC^<k(Y9ovc1)2TzYXt;!?O`q7D2p7TNvjXl?;ykLXEpK7
z3IxRM;&9Fsmqx0CMlO;p6o@om*P*|th(ZeY8eG35iPYKk+mhrcFp~971s*G)!q2O8
zjVJdac`4hLw@MV~o-)3s8Y_>Sq-T!a6%$5z2b~8vMJRBoFN;$#Kn{g`2_JbTCxG;a
z<;V3`$RK~h@<5N3EGlJ?v6hbJL3j2=Pc45VL(x#-?O(hysP0KvbyYbBN<WsntrSd#
zY8OGnxOORYCFZ(jEXIsxH$7_dHOXM9sa#U=R1%%i`~0x>KRU!EeSJ)K2;jwXymhdP
z1WJ^W9b_n>Lb}Rrb*%RROuy<YfX!a?+fqT6fxLl7f09@wC;((xiust+h@!rWhc+$F
zEaT3K;c7lH7)+>Wc*V90p>JnoJH09va7RV+L;o6$;0hgiN}xs%z2TfLJ*YB=yU0DK
z`NeJof2Zk!f`9QNrmT*Jw$&+|?!|KJdmBR_y7SsQOYxy+roZcBMJDlEheqsA#u`9T
ziC3WV10KZ0bb3NDWCCAwQLQWL(Fb<xFP7B;+{oMJ&&ThJ6L>)R-vbJ=`oJ;aqmuuW
z6Pf8f4^PCV@J4CdN6T0D0lF_+sc*`T&K0JRn+#@fsW_`5iyA$+#!qj%q|b_;I|@_A
zJm>JXh=cz$r1apX{e-&tHD**$_4(_cKlAwdt2>YL?&!kT(I*72X+{(~{di^T*&^P)
z!^==MtOEy@-wK_5#ej0xzqMbwxP&`9+v%Dg(1Cp$bB)0f^vLy~{$|Vh75x31l>4Ti
zw4tit{3q%+bSUm`jY@X-8g8Pye=to-8xF5u^7UV$MM)~Mz2t8j_&`sfn(H$y5MPT6
zDfOjATGd5GW<uMzb-KX`4-PG$)HW3^@zSFGl1i$F&8W~&wxdvXgeJ74Uf%zDkOsy4
z_Ab_orAF-5m&m}X2?n$Dhm)IW(8VXAkzZ$MP^wu+oOp}|*ann_N&KNfygp(4UyjnD
zuf~o0?1eNSVby1`NQ4$0(r$e0_?sTdcM2L#WT*pC`>pJeE3{~X*Jp<#gb`_Qzw}<$
zRfokwRXg)ZTGVywrdjGfW~9_TFPhRsf?Lx~)be-fkd0!|4l6e+YCK1OknS7_1o=H9
z$M(@9E3QEZVPZ!*s&PN<SxG=VH=@$Q!+<8I&TaY1aH9J2u0ypsMBoky6bWEuM1Aew
zMRh-OAsrd%*j!g4toA-PL9$FJ=ZB%5%oI1We48rg!A1nTf2Q3{Cz#PzKFXid=S9VS
z2A2N!)xeL=&6>Z01??317bm6jA%W67h6rjk5ayuIH?(9!b(_zlw3Gx;c}j`6aHJ}n
z4rik#uCt?W;#F6Q8U+#k1^UZ(WmLiEib5lO8z(B;cjUZytPt|N=1X*IQUOzin>^H0
zTxhVWxZL2n2uibY^$&cg0v?Jd%fHd{pio9UEccEW+W%!*iuJe(eEGaa*wNud`O&?V
z_1WU6a}B?C(@F)hj0^oI?((5*o#oKaI}&K9Mp-K9kP3vG+W&ns!H=j4uh0+aOCc(g
zV|a?63W&)P{f#aNBAH@ZmiP#1bU%CXsX(a;aCqQ{Z?Fj=p_H3KjFU3xs%(YCw45qT
zv^<RLuNFqrKP_D1T;<Rn4rdde5>>$a%Xe<3ilW@=WUav-c_ihjbCYme4P5DS-gU+8
zMd?2^?zx>%L|j{G0W*3;_^8p+bi`2t-Rh%0V?9Se4vvO5lbeaa&nr^Bd{z?O$Vfy1
zfyzi=fV^??9tq|Zq#wmcN+Ad7CVdtfRg{=55U6xS9TMJ7R{r}ejsE87oBCW;Lp_8?
zUys{q0H=om&&-Gn`ZSk(^n)i6VY6w9S!Xn%mu&X*37;HtW?kL0y+%Y9F6LjKr)ojo
z?~yWQiaeS?jPv4GNGRy4Z_L3>ZO}|VX&L3EfR=mIJ-=0x(7Ip9sO@E4;Jm<cE9j;o
z%5R<JD_$g_Gh^`}vZDua|J8UW1rSi{c_p7G(<F4M=EHZ=OMUPOyK`UDMF|;a?4j1r
zC80VRrU4N{L+BJUd3cXU8S!!)$b6?yLcN1wY-K%0Fd}OC*C0t5J>&S!77|5793oC3
ze(C^a)@)zqmXy)Ir_>_7R%)m!CA4$zUjP^Hxy{#nDri&-nu7PLAX!t8-Hsqbaie&F
z?us(18meqNn@m9PpXMwd@2>AS8u*tdD5FoTzIUJhkw-JBP7>LH6fj~+dzH?hjMmaf
zJ=M&z=)DcU#H(rwtQ!AKd#tO3R5LE~oRpP9<S+QgTZ<Inx)33)rAt70uBpzsul6Es
z*;M4ULje}0B*|_zMHI27px$L9gmO~C40>lM(AzY5xwA|jxj#y~uwu%GA{afS4pvgY
zA?@`&p2Koz@xf7n;TN2UFZ1jD=KB<A>qtuU9gsl=myhXWmNO!mFml5q9SVdzqttu2
zOQZE5!p~Y(YLwHSPnXb3h8tdbi&4Fj=v!v{sg~c%c=Uzor<s0auxGiZoa`Zij!=R4
z(I=Dm?0p{5epWJ+xmJ%G4u~Q0<;NeEU4G)12T6B369Ha-qWjn{DuU)>HVB-$x%lub
z(}5&a04id??T6q!$R_8L-OHvbjJGFi%l{4rs-_Qh47deQL1SJ}iE0-%uD1nG(v0A{
zg2WS>MqU)PXfr`NHh>kTS)?*F8iF;oNQZJUH@eHNedepgFcv11OkKWd01P1`E;VmC
z(Xxu;GjlYINmXSQ>?aw3_=_`7_UN-AdC9?JX)ePUPt4Zq=5zWG0`~Z(3^Ow7YQ8bA
zG=yC}vRBtLdmmW8A=`<aWI*+A9}AUt_F>jR_p1La=m9z#K6`$S7EPr~HQf&F#%lVg
zIpi=sNXTu0D^=8}uQ^xNF0BoFYU%i9GDa87X%2qls@%b4e6Cu5Yp=)1_U9k0jp@L#
zriDX{{+swM_fN9K&2nryh{(xnq657KgzB<{HT+Pem!-jQ7N)_Pd1*UM8-y`YiwuPo
zoT@N2tHR(Ft`OPGbe}~Vcnyw~)N?Q4^+3$lqbb7$p9VDgU)|MXFrVR?%_3gS!un&i
zsRo}ppM2`wFHLa6qf?5y=5bxjj=4*}6&Fl@)4SlH35<;NjNWN;I9t_Dc0*tnZV{wp
zrdp=~%w-vy$J}OdC-0XbL3w@nB=*tOz*GaoXz&b%foVKCMEs)f+z?KQ-ln4Zt_}<e
zWf8>hQ~1eKK5FgZBe+~k$nsGWb@&!Ud%K)w3a@ONroAseimOI(hmmVYpl@5yy!CVv
z7Ys>zN^Bj+twvdFV-J$R!m|68-<3%m6YXAHe>91Mx(2^dKM{C_SkL{7o5VGbx^eq^
z&fvV^TlpI2iLjD?`?)9e6t1?><kOTrhkx~oBUf*#fq5YR`^vYw-1GLk&+mN;IIsNc
zhERDmczykQh+xb#p8L;=+jVFWe|lBBFw9vMlvKPbtv=1*G6IIbEmD?nv)AvVQM3y1
zJ>j~O%shwFa@UG8hpgZliL@Rv4az|5bPqq&J%?YH3HBm}t>H`OejfS2r3}GT-Fxr<
zn8!&>hC^@jH}JaV7Y)abD1oy`TAO#r0<PA`9Z<-#jTfp7Y3_eVfCZ12^8YdX!^K1j
z!*>o+p&6HZuP##&;Kt3brHpP%xMk&D?Ycs0bdr$oPVcS=m&^jQ3Ej*1y603gqY*9Q
z_R!xXAO)D2xiHrnxQfpNZH-gL=}=879WK5Llp4S3D^2XyaZ@UxeurWPR4XePrT$VL
z?sNN(>ez4M-N`w<USF8d{SN)B)x7eM$0-@u7qN}YMn2!aI?94JE?k*D_EZki3oKzS
zkP7YPVrL$)U`ItfpN8Yb<lvF-;nd;|Y9uB~V|Mf}CkicW|GY0p7Vee$d%m-!MS|EF
z%bk<l$hP^#S(3FZa7^A8ADN*;W}I@)F3UW~-$_d_eMtsflDzLX7cihV&QD|dKky+}
z{=CZdcQOzV{4P^2iwW7icY53qBY;w^TsDV&WWX%n&wQwf1r4@@u?HpZL09dmw~rgk
zfJyQBd;1jGQU2R5JDUMvln{8feViZzEINn6vP(G8D*v6k0d`_2?eRwrHw76;j2+*Z
zGUY}mtw%NK*Tm5Q_w;cBCIhK*Wd>Li59$=J;HO-WM5%q-`p2)xz>G{%y8JCZ)Zs3@
z?!6&}bftIp7T3r?723!hw-G=l7fW9q&y+!K^@hiD%w)lQqqjZUd=KL0bq{H}D2Jkc
zJ`;~vl!cNT93o8@gb}mtj{^st6p*E^&T-dvInX9D8`YJHB4fpJ4H-uQ+HCp2zdkPy
zXXtP4@6#4Xj4#_6%FZaGk)U5Qy$*^{Mi5F*o|ZtQmzG4A2vrn%Z7!{yUI_|`4&HtC
zQphHB+{@6Jh_>IczJAND0tPFDOul+)l$w3m4?9gl%}ZI?zE{<t=}YA_tGz6GSru_r
z{H!`+5aYY-AVC5;kC;`l-*U*}*LTW_lLpd>^-bq2QHQHH#b%iU6p$;^S5tzNCK}Ft
z5KP|XVLb^kg+^uq5~gletSHk&-{hMM7b3Lbc;e>ilqe<iaAIjdSzHTE?QauFDbNLD
zc46Y4Wo0B>%kV{CTMJ2XsuktX=!3dCdUaP%6<O~OX-`?zL=nFZ*y|lLgfVo@Al6(B
zT}qVidvH_}ou)0aKVFJK0(rzej*W;ehSR@NIi-ODKjhu`OhpC)$AY)D4G|gUVG*oc
z>gX{&cdrH;1&(mulrlO+M4M}OKb-I;qOORafmKTsh#rfvyt&&yY@Pb-Jgo|<uv))r
z@!1&ki|qYWnTbg9xvh3`p8_fw2zcQ|Hi7ezul<8m)DU&U@|)R*GU(f<v0=k_6PTw5
z|65BcNXxXluVB9f`t#%3OcZVcCwT84-?dZ}|8jxz%8A{(AmF!5^GzW1fdb`r5dqcq
z2EPy;;6jUHgas6A0<Xpz7+<s~pi!GUPHS#-Xd$*C1y?qKt?_$#9`$l)W5I}<CU+ih
zcUgaVuFM#gZe%fteUU+S2YdqOzI?%EbAP=LH!_Bf@+F?M6e-kZmt&tNF^|1nwr(2z
zL;+U(E8*u82^8@|&#}{O3!7}+>D?nkfw8h48+tV{blvJ2`*C|(m|H!k@A-rb+oN$a
zx4ndrR!A&OX(0oAYj~;KO-BavXa3C>y7*B{NW#@IUS_DQ>8-eV10e0_oz~<q9`s%)
zYpy<l1zMH8JQ*i3c=PdE!mmXRB>W*>^H(q{G_cK8a84V+S&C{&u{$$j9P>{;IK>KI
zT}+rfHw?jZ+{ca8f)0&LB!&OlW(A?1Hnl2#L-<CE<-PaX!3PA!?;h@Ch0QO(o}q65
zNrTH%E;1`PFD@|18o>&ESE^5v&+EgF#y_nN*Jtrnd|o(9nH6}7x*KaV_Q9q7Uy9u{
ze&P9S0&5fXERek5bmsbm9z11sZM1Z%!B;P96z%h40eab%-x1n+(3xmD;x1c`jWnqI
zJVs)H&eQZ~+#_^B&v34xB)Jz;?W9c8(X)W4=yIp~A02q>aGr|(<S4eJE*UJl%nUY5
z(`(#jIzT79<2ffggZ1A#c;hA$3pg+r9OM6}4QD;*16vaou$qXt%6cP~U7bgM6cp12
z^_uu@zkwxe&e!=C@g)nWmfZaIGe!%hr}wF-jILr1xb@xr;;caMt(hdUXn|OtbhASF
z2G-9$d)u>~6{b)6T-ylO1S@G9+qj$C*r_!Myy!I>ta$#rp~$WY+_h6<ZZT9~lihy*
zTn0M~M|H~-KGOiV%uLaMerlLgtnPZ(!2#JmAI#p%Y5;q9#jgcLS}+nZcRnG+1qqY)
zPDvK4!<U1}=MLPUgB;c$Mb8Gg0B4Hi&~{LVZm-QfIj!{IVOq3dT*eKt43UW<|43l$
zmpdt~!w4mkWBVNnctGs&A#3h<64(^H{C6&k39>_FS!=6#p)G=x=Cz*$0T;?|%WJTJ
zrYA$t*JVCPu$@#7TqA;0OvAhO7FNjcpP4&M766^L=-0KMh*05EtJWF84y{Ask@ar{
zVId3W>Agk-=MDEszvG<nk1y_k4M_+*KI^`-2O@k<3HP~{%>|TRk<&Ci!Vt&*=E4#$
z5!%JwBjk#?Avf?t%S?(Ws16Jn!-yJCTbk2Y_wv9u$N9{WsJ-y@8k^(0&$~JI{jDE|
zxcT5~@VEPF))H`MGv4NEk{Wp56yCn)&JWx*&lI&zNrG~N2)p)cHJJZ*;W0<K0L)SI
z*XcZxf-&c4N@t}S*wxva4jJr$?TcGccdMi!;|)!F1sxH-yfL17(;@^XRxWJybIQW;
zg*&~Yx<nWpr`9jNBLXA1kAdeYIau2AeW)5tga^l;P0s8W1BTv%(Wffqq0zUa<KZ9?
zA{lRSN6LxA=G*<>^_3N&BVVL=!;u7$s)losk0d}MgTGe#KLT_fk>@%(N`ish7rkOn
zCE-$;jlJ-?5?HnODW8i~2X`Mb-GNjo@Ze%BE4NpH-+>}&A+8!=aOv$xNr5z!vtfSD
zFI2&IBmM6!$}WF~8jA)t%0N{950`4B2I-ID+b)}FffDgjLE9f$I8#7xciw{tYxNFa
z?|5s&UyA<q{i|{yanLoR@;edKN|r3{X6S$<(@~}rDg|f_|L5SuxO*RdK`s;Py0FKW
zIhT1&0S*LFZ(7KZpk;@i?!obWu!iQ#6nhn6k8_6LBYqO3PDS!RZqtXniw(wSUlBmH
z>sEkO7ZF@_2%R4f7(!0Uwc{ofB`E1?(e*z~gzsghOs<7S(4xgcOet0Z(&L5R3sGt?
z!G;~nWC37cP-`I5DMNzb$h_5*3X~0W-4o6R`0=_;NLEA{tRyPd>Q|M(C6d-vL!S&R
zk>8dFHkClMh#rcNB4~%&?eF|VhO?h-RXW}%!L2*DtIj&fgGx}6?*b16qAtCda+Xkn
z;Fozx$9DI}C=k<C<V1nt*Nq`@UIZ9hKB<>tC<VHL4QC5(Q$XZ^)AzGMits2QnT2vu
z9B#jwRVj|7Kw9-Y+r||ISU1*OsZSDyFIcwI$2$~g&KLi6?0`JzHB(mPr3HXF&d=(Q
zI|clU1CScM98{kg^=Reh0cNp=xnX$<++H1^u;$5t#SLGs{uwrK2=%3J{Y3_$e-9<h
zour}WpK(KV9s{s3SE2C7yME!kUn+A|65j7|Iz!__4SU~))+p<cf%W#sM}o-`;Ojm%
zYOl18osqKVxYr4w|Jan#EO9SbrM)XWPF%!R_H5Gqy#&CzaY>|HKom5)y(2U3Ok!SL
zpTvw<cXO!U8PmxeAxPVl^elB4!H&NZmfkYM;L7*+Pn|9bf^SW@Z8TLcwzLpe9C^bC
zj%6C|&^z<Pal_&|KdUw@zq)=msT;ymmEz7cZ(ca@Q-<klWdpWtTo|1*ZU9AAjBoLD
zZs?D>UA*8}i&YXYS@FmjfWTSLk_}casBL}v%EhP-i{x|pZgWN-2<x7j|7o)W@#XjB
znD{2F&oAn1{KtK8q3CxwF>Ti;eisUSb8N#t-pcw*x2Xr?>yDA5ZcL!yJk;eh(S=E<
z8T`0stq0zzTNHOU2B_r{Id{aWAL}%1DW^}<1vTM~%#B1kxa)V>?n?SFcF}=9^3;wF
z#Q(WlB_Ku%n||6-VMD*M--EZ0gm~=MTf!;)9n|o_|JiLmi*ZcYID$&ALL2tJL02Nm
zseq+JG)Ssv5+g_kwx3qfh6k}v*#9ft!J6w7Zk!08#mH?Fy|eLJP~67mGjFqvZMwBF
z)V-U>(#zlY<g;mk|DT=|NsTQmZpMT9{;NeSb29qDs}M~{8TvQWb7B*-P+f3*k+Fo0
zJBR*D*wg^;(8lbT?hTCk!%tRmd<FB#igb*>p#gn|EkuH%H?WcQ!)$X?YZzaB2PJA#
z9o!gBti8Uwfpzv=W(n8W#NHcIA3GbO4!N33mHD|F*Z}Icn0vO3=>~~M6WP?E|8Sgx
zyx=DGkjSmr{g4WTbW`*PUywjC%kHaa-X`{C`@xUnBh+yBJY&U8B@&1z=k4(d-og&~
zmPFLp&;t3`CkF0vA}EuTP6vc;V=Ie?kFB-RL1YjJ<QySFf$fJs=Sy}lqh|KQTvr&t
zGH{n`=G5TIC~W#ap@MR5^Zh5)ncz87Va2$n8q5feA64+AhMy<Be+TlhK>vTWC#r%~
zK@yrI^XzCK$>sTov=|%M{Yrc?)};cbFR#9~JVLwsN7|nswBvv^hyKudo!xx;**g7V
z2pt3tCDw|$aKYfES8jr-%DWs@)<0ZJ53TlltTJA6!^$9|ag?AktS=h7z1Cuct!SD{
zTr9j0yr*m5o)=0G^0PZ&y@CmD&t+5LkN80D&7Hn3c_rwyr&&LHlLcahPYp<E3cy+Q
zWg78H0`MPtHJazj2GXa<#<`n<5YG^FDflu0*mDlWRGi@eFVP0PV?qdi*FHYiM<T!w
zyTr!8AuiB0xYsg3B?{~LR+7i*2_X8n(qSfo8=lnS@guMoOdfXUB+n|s(UueUv<G+~
z^`PE;J0}T950A5mT~vgghS+i!8$LK>%V3p}DhXv`jCdv=0UFSI_OU*G;A$;YeorqA
z4i^r();kg4EIqZw{zyT{b4qj+zO$RtUXc8K%Lw3PdL$s}$p8PtWX?Rh9CYN71Mb=>
z!I#`nQof}Klxmc<+vUi^PS_pwYdp#@7Fw+R<ER)AR$On8PVV}nX6p|D78Q^ky&in%
zi8zF|u1v^CDM3VspK^eqDnzsg>n<)zz&oo0?^wr_;ctaQ&4)ZS=qNBBpH!BDo>Eh@
zrnjn)!|*WcOCb@ALd|<`UzP@@56!K-L?TF3@Gl)IB>}!6wD(iF44gUfC!%zFx9@!x
z-@v#!h`pM%3Kx)r2ZdWUK1C!rh&u=@8EV3JA-R`7&&fkJG4b4|!|E^>N@~w2)&fI+
zOv<4|0pwo^&>nAAhl?q4Q8aEk@Y6wN<?@yyRII-F$}g+|dN*$T{3xmi!sZekS&B+f
zN3c0ErKAB3@{T7m|Lp^R_VV?Q+RAWCL;U5DZFN|;`7I~gV*sD0-$nHZt3degDi(z(
zb>OcX4xcJDg0Q`>D5dqgd#ZG~e58#858X2w{0;!*Wzp9*8>_-g>(;r+4kDOvYQ(2Y
zk>P<#K!jp|Djem%;i|u@6Tvali;jQDpb+F4Aaq6*lKx!Fj&x84J0`ZY<_8q`W|m&?
zi9;14FT~vxS5Sm@%L?-y7Gu!f+iA_=qXMd+BpTi*3;bSdD+8yDq2^-bWBmwaxY#xL
z-?KAP5WnS4U+}^hQZ5v7uX`&&{S@b79$_!+TMuT~$TSA!=X4$N0tBG?ryndgC<s}r
zvqNi7j3I+Ax|`#L0+{6}TQKh7fdm(ZJgXDN(B?^Bp0*_iv1`BHCj4Rs<-KLTCVO`0
z@t*GOu#tt^O(6qk7O8;OoXq7~LV>FI=)2R;q(L|_HPN7D0rN|ZJyUK+fyhLfE!jay
z_%@<{+4*A+_Ga*_6?Z=w)SvU|oKTa1a1zm#GE#@94ZRqV_9Vl-bf-oUQ894xz458W
zaTFJC)^=j}3lK10^h=LQ7_RpG5t^Nt!@t{?xzYImc-eH=8}kUl9Djg;A@dUMt#*$y
z=r0D%GXi%;ocJK}YOSVg(+a-o6Tp?cX#{h0=~?N`+;G`RKcOyY4Hvl5?^7sX1hcbT
z&FNH}K+$=`6XddvS7w*1`Rf|Oifo2Ld@T#4neb&>JzU45`_>PLoiG3jzd}>R1_St>
zvs9x$u#U%way0+<L?5#DIrXbV)5437tzNVr)^L@8Qqh$9eGptFOZah{3M7|iGDrJX
zalLywbidj50bBTvO=8#vMy_CWIXAU}7ui%Mtk~;;&z3az;SbAL%=wo+CbP?Ux^>d}
z<rH1WAKuQfIJtmL_i7hREiU1wuNx8P|LFh^)$32*#A)oo)I7s6`Xzi{w@NynjSdhM
z#qUSm9>usL|5Q~e{lmMNPb7qAYeRQW($nl`Lzvqgn*i1ei+FpR?IUU~Z76jX)8j;)
zn76B4vrWSSo)|mYVBoI>Vf)oIF^)Ry&4Lt<o9zOQy{)U;`K<|>r*;;)J@PR<>K1{m
zfAhG9>Sr}UCryZ>8S}0(OU9L%Q@Kp>dA$4Fok_<!4Y<g1parKb$CtVesx*9<#}6eO
zc7JN30p?WKB8-RYaoQ7ujHBP@@u>5*Q6J0IAttD6i8#=Pdl04z@$GqhxGgF)oT3gt
zsGsD*pKjb`j6*EKV*$6)lxe4}BEh4j77|xdKmI=e0096043~F2)o&EX?Y;NjT<*oa
z_Vzt4rGy5Rtdb~&P-HYD@hfCBh>T>1R7R-2Pe?{Y%ghLsS@!1V|MSQ5oYy(${dqG7
zPkp`fYYr!WyhmW&uL1lY&+0pJ594r+D7pLIJU$@%h5kk_1+MM4V|Z>dg0I+gRi5@*
zz_oJY(_FnMz?EM(<>)?!56{|HuXrxvRI*K&@G==}Mn{@9|ND&}8%>oudS?m0iB49o
z%95ee-=+Cg<v8B>Sm}lN@G{P`@p+G}ojNe2oL{t9n8Z8sn`b86R`Hkb@nFUnHQ1#y
zPZ8KVgEwbenN0Jo<BF97EJDqyp!sR+oSy4H+=Xpr+H-jWcM7{nca>8Wa$<TIn~G-f
z*8#E`D}38{msip&a|aR}%s=Wq#5s@mr^jaeDyKmV-?-T?6%v7aV3A}Hvw#;)`ncH9
z&>^PF9~U)giO`Db!=5TF;l9`EP5gc7(ckIUL7B%@;N>}yNR!cJJd)-DnM%iqsvh_E
z%{M4R*?E6E^`=!kCF)?RG|q$)xI<$?G?XFYLrf%X*E+s@XEOb50Sn6Lb90H$CBTbc
ziE+0DxA0J+cdu4G8+t&|%q)>5fJo(;jxY-vH2k{TWr>dyS#J}5p3PH&>ro!7K54Y*
z?|T82;YZwPyB3vS*H(hAey;dOeDsJxa{q2oEnalvxxR1LM@3jro_%Cq!hrnwwACzX
z_)y^YeC<d-MVO)CiTvTqgbsf6YMJyDKnvS;r~73T!Dcf4g@O|cTBwqpR5unvy6m?1
z!Uh$<=`f2Ie-Il|E_37CWg>#atph|3mMQ@G)c2;LdJa@GJuT(qBZj8gZGubV72wyT
zr1IJxZbZ*MZTt0;1bXzO>EzKU1*i{mD_LjYMXzr^wY_j!8m(9LNZ!4#085%mvJE%+
zP%ut`^Ww57&nvRi^qm68dbKyGst6#{q3eS5S#s!lsdf1vry>N=F>VCS3ZjwDOs`op
z1r&~yLSBaN{I`xiw|qz#3FP|yVW3q)vUEIGUP~)MNnB!7&Wb2f6r(rh?<b&HIwq#Z
zStSTg4eGmLD1nszB|a|dP(jTq4qi@M1n?<Xk@=D*g*qFEXUcj>C`mYh{M1GTp3lwO
zMP<k!qbIq(bMtEG<O#U|n?FRDFL##B+muBMGPfRevr^FKkTb#~-&LW&M<imwS03GP
zGk+!|tbs7|g^`Gz`DgWsvx)etfcCwaT~iR#M550VZ3BN(p!v`B&+K7JXp8p#bSbMA
zN@}u+t@76d!&s~0dUj<La;t2#s8<W!Jo5NU7g-x#v<rEVQdQ8G%YXOhhijuc)*I0Y
z(z;OjJ$sB%l7!Ndc<Mc8w9()7R9+h+eW<v4KiU75D!TC~aPqs54*Dy%d@m`)5FA?`
zA-ykZC|&lH$?=`~=$e1-RUeJv(eK!J$7yvGTNG8|?X8V$L+T|&<uOPzoX`E)LPihF
ztc&R5v=IIyux$M$!1?i43xCNJr0U~yg7uIln%cL~bG6P4zL~XYnjNGdjgDf$>3Rxc
z;L%Z0e?f)d-qt+c-4t}hwYa7GryA;kx3&o(<}i?2<j2BEL2f=Z_bdBV&}@0&R0*#I
ztcHvXE!vO~>lfcX@)Je0d8BBtGspt)2Y&vIYU;@Kb<KjXhb$T`nssg~umB5^{&nqo
zRU|RDxjC6ChRVbvIx31R;C<r9bMM7SNFh1G(|Vf^QAN?LR)hsOdg?!UK~+J&G<&b@
zwP!(WYBW4|buHkD?)>%oy#(|%*L7=sbOo<`9(kbglR4NFB-UD*Dxy&(8+D5R7yPl>
zVVi`*=HN+XH?&rhM?&XJ?x=G9#x!bGxqi1(q0zLcRX|P_mABXKvWQy2x*7w=Qq8D9
zw?r#iwoeM(o8Hgc1+?H9;;E|t!VD^s3q(DxiJ_F*$4xbJ4A7szZzZ5$2HCQyEH}r6
z(4%AeU2X}?kg(Lv82Aw2w-ER9ngo7S*$ic0Y*}H0O319|2M{?|-<}i9g9d$w*5Jwp
zksAV+BM2C{PuxD%Xu*!|Gj0$4{KE!+#Ay4xwM^mDvt9p;#hB0mvUz<KA3N+ZE5UU3
znLwF<r!|ugEwY!coqV;*2GU4|(bLx$GK9MqO1;-`pAv&c&q_A9n`9q$=#ddb(yY<^
z>YKw)bLDwobY=sOWooVNS3|glN1qxd{=t*0G<z<uvqI?jqY`UDLpVfmP{<SM#u;8_
z*gwx?g$qLB>)oyf@G7u((D}#{Tw8~~HTV!KEVmEnYnJK5d*(F*C7MnwV8h|kh8Qbk
z=S-6tSoFb0o>qp|U>Li@P^I;Fiv>PgJIC^z(SrxCFZv~ljAQQ5bJUlX6~xYBwxw;l
zpc52RxhVY)tI=!!?5@NL15QT?dkl2J;e6)|<LP-!K_EHw-Fa4!y}jO=TBHM3#pjg<
z&M#q<*PeIG23esDMQL1+)d9X@&HPW6tJq4!KFd8pY(P|SW-Lk9hF}GT8O8N=ESc;l
z!=}p)oJny38q(TuudzSQ;Qkht!hgWBNSXtZ4Kk=pxmxgQJyhE~fd)d)<)1yI%?T}6
zOI<cKw7{KQ_0#POEd-U#{;~+<0?wvih4%HDz$`rX-&GNMm|FW!bYg@XDvjqXg&Z~E
zYNV|0H+KeTeet<!3h}_pr(G&uOB%qEnIL$onh~hlV|&jR@WP$R7TSmu4LHQg=dmQg
z43Vhg;*~-^7=Eb`odX&G!kI_ZlUSg3#kEM|JwIr!N%AQEr2yj@-n2LgHpq&8#PViC
z06y1!zj`)@0x97g2QTC75czet(8+^BaOIiawSOllz^fy|XM2?s><2HdcsB?`dfgI_
zl_CWqwmB;;oVh^;Jt|T@DhlMUV}*N0$<V#7j_oPsfv?TkSsiTRQ0}BDc{hO!B3$0l
zO7D2#L{g8))gcK;CYFWoIY@>qd9K4IfB3-fv7iM{j}!##e;*vFOokU_!J(@P0^qD8
ztsEUH1EE^hL!}~Q=#YP<QyeS^+=RVEvs76y6-*|FE07^^fu;4@s1VToTjcj_l>=V#
zN*n!tGB`I#Uq0g{0#AF7Kh@z>0M?Rbk>oTo&?P)L!pkBCQPzdy$6XacEIPY!mWcv=
z3p1__NE|qGQoDv;D}k}r70z*c3NYVmd1G@|5;opT<aaA7!+o`ijGAf+WP6K$?YSxq
zkJGLsyWLlT#48qeFX(B&mW4g_H<E!kJ3~iLCK7mr)W&mkXu!mi@&g?oWkKMm2<b|I
zD)?KkyxDVehZm9Sxpu>HAn@2XsjX8DFuo{-7zZtw<0z0?S(k@|d4_xzaWb5#$}-Eg
z(uOsi#GF`BMTqKtmi<<C=Y6yOsxeMFaO*Q3B&Mqb%$@4yg_#r(EO~N?d|MYzYreZP
zWK94Dn?Sl%8V$JZ%zIz{s~%X(Fq51elz}KwN4Cc_Ai!PN!dJ%tD*11RoIIog8|kq;
zZ|yYzdwPraRDmIQH*hA}Y7^m#!c@12u?D=-n6`MLXbjsAG!=F&6M@;bI{4)*1+xAY
z*BIrPfW1fi-Pn61C`t79{(OM~g;g0wY+@KZyfYNMz^DqRqJ9JzN0C8CCa6{36rl7%
z%ZB-GRk;2&G`sG-8i=O`&&dn{AP;Hm$w5`9Jomeh=>-XX8I-OH`kFzR`@Xw#imLG8
zKwn{ilM3t^R}YvUF#}d#IcxfQ62$0)%ME=~g7kA7wO>rBaQO1sJ%vOPkj{jvGU+LR
zGy6L~^($1c{K>lb_yiHslX70v-jfA2Sv$$G3@W%z54PEzRe^W$&fXbJQqb0D_D?yN
z3ZJwZ_|MxaLraHypp&vFI1zdsA&Cks<9(FN0tDEYn&jRr6acRRCRcqgDrkQ_e9@yp
z5vIM?vG5EYNRFlvidUn;vxBxbSUeRVV?gbuk1QLwI~{sC^3x1%dqPt;jXW@n<U8(W
zVSsNRWfIF{%|M?lWSNpC3roWFexf~_*p~Ei8(G~9?u?xZR5q3Yf$J`b=ffAV-LX$b
zg<1eE{;fDM(k=;7Kco#KUQc7u7w;{+I0^7~Ftx9iDh_uBO~t*UMz8~KcXvFU#~>o|
zc2+}=2<Qtw7QDUCg}pwY6W1h*!E&^drBaFzXbAg+xqfcJ7)*CHe>i9g^H(mMz8o$9
zkxjw|VbwL5#F4&Xk((ya<XvpZbB_-?QWV|$@dC_1$v)!QYh%dFyLUz43lC&DjNA2k
zWnqyE&sAhsjbM0x#$as-7kILEweZ;%V9BB5c5e-hz-1zSjhw{}Z!6op5&|nR?z#&T
zdDjggB4k^BOpp~8N&a`3zSm)O5{ufsZ3f^dUUK^GcP1#NTB!`$e8h}jZ+xLj8vqL!
zs>l6cfM)*XLWcWau&{ADe>_kh9<!uji;DE%>=oxy9o2)Kx~|x%+^GiwQ^GCdMYND}
zG-uAFXAqO7+x~M{Ll1&lsvC1p(?De;H`jo{2v)w87cBKa7ZS$a8*4w?!n$srx;dQv
z3oG#tNO#`Wfe*KW+qS1RFwy4@TeET#SpD&_(rIrUAO#;AZw_C_PO-!+VXvmK0%^Vc
z7X#YRp?bXjwEG%nBfMAX`SX9+!I6O73HI9X_h9aZ-<?(LwEx!Wz`JwU{CW!S`F1Tx
zHaWv*zOjO_8@BpI-&nwgR=!vmS!;o6k=;9*f)(u3;LGi@$R$in-mYo1O%uuk{)@X4
zw}R~x>tQ>Px`HVbNNXOq(*%|uf@k6iSFoWPqj%J%H4Hz~+V{9$13uloY-qo_g1K(a
zd-w2dV*VvHJOy4mcZ_{$=}+h?HdW4XpzZ25))QIm;J-$JC?Rses_GgRz5eiPItwk}
z@%6*B@f4t1LH{?db<F6EKKJL-bWpt!#OY4h;foKs_>9a3roLV|wJ=Bzl#!}Ed!l#l
zoQwT!t&^MB<-j}kq>GF&a)bL^<p*^*U{*Q3_uCfsi&q2xL|}$a)l6G!9(6FNUYN-<
zp@9ouZ#7@s$q%@D9*u*W8d$F<6zGy@;f=KWo8Rkf&{noRY+S1f9g3ThW!iMWJQka!
zslW*nBda!-q*Ngp*~Pzfq6Z_+Y|Hd8Zty&6J&_edg38eYKNYeWz(1_d;|M)3+(`4R
z3Zy5&$hSj(h-^&IbY01Y$Ab@22d}R7L=i#qN5^jU2h4!w9O4Zc;|Gk(k8fCr2;KVK
zg<X4CA&&0cKf!20D3kf%_N`n6e$5!Qb11R{tNSm}+t$KBjodOYJE;Oek7hb1)i}W=
zhmGD_UlhK?ZBDPqsDRj<4QqoZH>9stdQ)x0;cwm2nBu%L{FtPzyE)DS6AV5XXW}H`
z0?|6=P@gj3nGu@=BR-(Sa`R5FNyF?^+tZ+aWnd2aFvnBG4-ZrO-@Mo-3)y2^&*;~b
z;UVeb>bjmFG_4D6_CA+`YxjyX|LUoLsot&2k-vnXi?k<jl&k<3PdNCzNmYSo&uq9k
zt3<%d_sA2m_ljV+)O$FbK!l)mIp548F*w$o|L4zn0`&HM+}AZigyfS4j2qrbK;zQ6
zW2tH?KwQ0fw*MOmsFwFGAKZ|FD2~W7o;4zve|_#k&!7g|&wr;R7t6p_#FAp*Csk1G
z=Xo)7Q5~Xb?X*}YW#NX?M%<rVb?}zTt@IM6fXHaQNQ$036lY8fr5jLy%|3qjdvOim
zO=6V~+VNeb?dqSdf*PR7KJce(uO{S(Srj$QC<0^P#A3>T1}s*WKe5Wzf-4reCj$-;
z;0pb!T12cS1n=tSQ&H3bKVj`)#ZqMm@^-p$R!|Fii4>8(Pr7iUjg7^Sh6qW*qf5Hy
zwP0$6AnTj159@4)dViRZAguO&pm2f~JQ8)d$Qxw{Iv<z94!WoUr8_4rV5i=KKsr8m
z)fjlLT<EZ~SA)AJ|L80*X+gTgu@;|DQ(%ZBL{^EYgNeoGU1>Xe>oQ5PKB5iab7Oa%
z=wo%5D>^2ed_)6A_YT${l`sQU=RbD~#?*ni`C8XoK?;1EW<A(9Wd<CdR4N9C)ZvGw
z=H)qEHTcdal7DuGcaQ(QF_lhG2R`As2TW5c(Aglctw%D4B83-6=@!&rzssBL1Kvuo
zc&S;UG~OJ<(o14Ic+@~rp<s~OCkMHSg`*WM=5X=+VHdF}60B@&v&U9QLBipn-FZLE
zfoy&Jf_=hHf6g0d<?@KYeMz(8U#;eFy;@ZJ53>q<pH@2YZIKt81^L;WQ_bP<g~#)k
zTnSKNd-iDw3oD=!T4!WyzLRSh{hnqj?#v6y7Sr0ssHd1d(EX)?@SA;aqrS@n*7yAE
z=7Sk*T|iT~F`Np6*VHPeIOHG!%gkS=ufvW!D3D-brNW4f+uHtpGH~bXhx<}iLwLHB
ztnplo8HjN<4M}Q9!mmHH)(6!8;i0X!GCp#c!M5H3^|5(Tn1+ePf2vFPNG!pG?aoea
zQA;d|+u4f_Z$62|3u}0~hI@}YFTg|gtZ7Cr0jP|V-K;pYi68r0E;~=gVD$*zx8ThS
z+Aej~O}yK<`mSo?goP;x?GLs97B0|HZ?<rs-Nr3*eJT&0G=cP4TF#7IRxoAEZa*tP
zgPxn^e6#=07?N7lj_)mHgle7$q1s>D_<i0pS?!fZAX!s&VnBipoFAQ*NISTVm%p(a
z^qMw=_Qs%!!f%_H_zkZA8vfhD7w!fORgnx~%PqvcUv>ps7+gMs<!<8H&2kFhZvY2g
z|1A;Yp2w&b0|swvHt@5q!_l|j=tJGRgEdp)(^y%-_qp)ybv*iOo4X>9J_w<pgfmiO
z*ae1vzvbB0agdp5E7<Y4Q4z^GXP$nn-IP7;fWsQDY@#$@)u;=q`^r_)7uvDi$A&PE
z=2d*m{GtIZQ5SMN;@>d|KgX^_+$Ybvt>P6qnZ+haI^f82Jl1cm64$WIK0s1j#SigU
zaZ$Flp;g_)e<ZvO*NJKQxL<G;zngRK!xKMk$mx7CQ$PM4e{NoMZANPqcMmV=KKDxt
zqDu~iin<Np_wLgNkRn#`v>@I|w-Z{xLjCl%JLe~^Bf%asPqX94X(~571~lQTDSO1o
z@E9IDW#vtHzJ@mzs~>kdp$R-G!zX>0{@|anPVKjM*YVfl=V;Y_X+V#U<tL_pllb!Y
zuCn364ZNVs!K3N?&R$Nwh$Q#T;JZ>k?qXcr#9Ii{KcqJ)@RuiOykYnso^mz()k@Gd
zzRT%~IPnezMifg$wvWx>X;h<u^%NQ;9ks{dryK<&EL6Ju`{r@(=#FTod$h<-!0u>b
z5E*)Qk(T(*E#j$(ZUcJH=n(Uy8Qc3(bqEcnyesEi#wDu@!Y)qIquZHYPl9ID;C3&=
zVd16~y!qB;U)aZpVhKW-EjntDW>Y1)nz4qzVty+l*2#oauNx8<BUORuM{-e0-oVAO
zJMqugSP+A9Z?17a2^JXQS^ulp!q2MXoQaNXsPMR7*@h7bq*c}{Qm)aU(H0ZWFQ+)r
zmUm<TVnCh0b72k<esRAJseDa~99NdJ{j#~xo07`BZ##VSx%z2vM1UUYmppsk8pDIw
z)ZOg0@2Wt1@x=ko7zXr~M?T79lo$1tvYBR!sQ_a+&GJ4uCd7<)wEDX6qYLt1j7U3o
z+0@dCH1dNPo%(Or^?+3Y)M?U=`1UJ9^V39k%Xh43qG8cPuvQ2atrwa7*djn0Ls6Yr
z2RrIJyQ`ixR|HjrX%9Q%1o#v7$%x3sg=$zQHaDxqP}SKxt}l}akoxJJ#Y>C_HH3Gc
zh}@7svXYzf7s3c|oS8vu>Mk$pooqCo^OZ*Jn;nFQmkBTuplADmksoR5jc}#1%A&;2
zX`Hza39!G1QJk7AfGT5^&8-6E&^OoSdpX|;z;>|csHv3@ik~Ufs$P>vl;ql8Q+;Jv
zf1Ee!B_o3Jqa7>*9x5Vk)+=VU^~ykSR9BD|7en>83%cYF5Rf3%e1ztj3RD-pKWA(t
zf%c>-3^_`upc5bTj^Fkpg6oYK)7fw-qy_IjXsr>^ct%Rho=g(#QB~ALfikEgF*}@Y
zR25|(p?CD*+u<*5xMSFBSw!>h-_}y6I?8xwXer#O4op4FKPUO*kzcLFr4eTeVt+AQ
zH{nMCzXrC?Zb1sDN;ud`$5I1*t0>Xk&e4E#?8W~$M-)-Tvn#u3WHgaOV(j~~JA6AG
z|ER9pj)0ur^uApAp@~lKDcGRi*M_zn3&CA=%1D6q{`aaNE%bIWI6i#8F1&j0$bVXi
zh?>(~jr9h#P+;f1Qa_45*yv^{tp$<L!^jVX@f_NyV{H-#iXjYcyot{&R7DRA!&Fxn
zw9r6KvtEO_F~qn)t@TSaBz>v%>uQ1)npigJeBf*f6~VV{C;n4MvSuVKy<Zcxhw9ww
z+u>}uRC}Me3>p0xKmGSgw+3npoqTvu)eN5g!*5CYk<qt$Bkq&8Dac7+oZ|vJ72F@V
zgr)_MQFp`JX74pMR8ime^k4IiCo%`uxhas*FWN|p^l%~y`R`Voxtlo%ZRtuh-c(2I
zgAp_<txCwGaO%d<HgovMoi<pRs)iPA3fIrl%OkA)<<by`1rS5_v!6SwiYQ5(ZP_VO
z$my)2$$nW2FzOtwM_WW>A0QN@c}EyIV2x|;To#Zs8=c_cu7YfYefExu@}ih&x1^XJ
zbNKnNl{Aq<K*tGcVVgBfXl+*8QR0?4jD+Z^|NNwg-h9(P^`USTukOxs%aS(-_SJDZ
z<$v<%`#F<O!qPu++=<i5{23KyUXwo_;*moF>Y>uSqn%ha?YxAa1{Lz&-Z|-JAcLq$
zzcUEOXRuk$qMsS1X3))4uTL72K-s##=i@w=G4ti~&-N0{ps`dBpNbGgpZBJs{NPQj
z^#lLO%{<u2b$6?K?Sv2mq0ZvQ5DlEv%=ZXY0x+b(-%UF6Bj%6c#APcwD9vc=ud>5n
z;9AH;eijefcE}EHk)wyxan}4--A$n>?#q@o#(@qC-r}&iO%F=Cvy!csP2h=x^smd$
znGq9lSov!PJ-APPq2^^8Lo(O1Fm#t5i4rZ}O$5_}*AH^ThgKuFB1d}Af^Xw=HqIxi
zRq5fci&SO}jS&b<$gv-lT*XH<esbMvp##p9iE|4khA^h~PR^V%kJoLl?y)^i2bsaf
zr^X@-;H#48^ya5YT!+Tx7-f+bE*V*d(0$Seo=86Niqk*w5Xb%pO!sI(rN>jIRaPHZ
zrpI||IKScrH(s4<GNT1Av`zdNst0_tO!?lv<@i-bG3~!}w9ww+_$;eO7bNbt@;gK!
z?1BBPMN2OYtV(j%&zk6h`H@}@bIY$-Q)07tV=E2BTj|9I=Ia0l-RHB{6$dfagWaqJ
zT{OV`n^}BDPzSbF$~pa_M=?V`rAB<423SU?Sd?#R!|weYdo4xAu?ACJYo1-SFutE~
zZk0wG66o%2@HkFmIaQnX{spw)#=O-4SG3^!-QTr~&;DW4Q8p<>L^`-Tp=v(5sR@k1
zyQizt=dgmG1H-pI(gB@FKe;nvC+AKng!^7yz<zyL8(z3W4~+^#+3W0@uzPQ;PWG`S
zOj2<FwdDW?U<&p3aeb%(HR4}Kope{QH(Cj{pF$X6*vSIci5h@|F0+yN8dmMUQofMG
z1Q|S6*!vI#j=fqhjN#hA{<2^aa!bq*Ps96=%ZUPKvrVo!32k91gD=95oo59X68i_&
zc`_`eU7g%5K?5r{Xd?gcv4cY)?Xh<TWYG88N4#W03qi_*+~-C(;1=tlvd6d7;lI!x
z@yGsj5UFVu@Nt9-a+Bf+K_hA)NL^(tuBC_0(H^HKF+5QJ@<YaFOEq|P?QQ*SDMm09
zeK_+B@xs46B_*FKRS@8q$}>x6g5-ic**QLbP+?s1m)BB-kEvNAlZGtd+4lE?Z=?Vm
zce<}a`<ev(L9FF9Yph^vZF!L@ECdTyRB21Q9iL5*y}C8X4r@Vl@yTt%@LVSM(uE!0
zvWR?wOU`fte^O3(N}(utxm>HYdP#(Dtet*V0z7bU*{a*QL>w5OJ*pnQMg)|Qih}m?
zLUFjGXh*Lk$PG|v3QiKC_ILgdhZH^t&cC$3NmK^3o9v?lT!|1xVt-vsCjhP46&@#@
zWkDPo$8H7@K}@VxTI9AMI2yU{4XBWVh4XuOGE0e&Z(%kkLJ@`n#gFAR3JUNoW?F5P
zjRZ*zk9lVnMPRV7!q=%#5p4BOUbIahLE!*RYDm8rcw;H9nPxlu=6Jii(_9t8OV%sJ
zM<t-_mGkAg31t{4!L~$6YLI8&Xnd1H8hXEn;$>Mx5T=ouV6avPueMwLP$UDHg0H@#
z9X~63c=}ja@lL+VRjcmrmxZi=yw>w#>M$>ULy)(S0*+F_5xNrc5Swq<uGmI~8*`_;
z7P2&8-?et;WDf-x&643{sh~i7PF_O|t_df&r5tT46d}X|M&kW7pfH*mtH-1bD>gO8
zNlXNYTv5=G5zvHXJ;lr4F6h8>k!SRm?3AHv`-sl;T}}8O0096043~F2m2VivIriQo
zndjKYIOo_S@9h}TutG?ZpHaw2$q0pz(4a`jXb6##o%f|s$taRhviBaLq@RDEKc46F
zxt{yF?(bDADEeBCQ40jOBEL?iDL}xZu{V8F6fp0-O^L47hELV_4~<QVkRmUs!^fls
zAv|60N@8@O+;bpBxQ7T_M;7g7W+*_@Xx`p>QXgm%hKiC<CCCveS$&>Jfs}7Pieb72
zFg?T&-V?42O=<d%@+Zmg)7!nXo&n(b%<uFQG%7%+IP{`&mjwL5aZjs<0icq-ZrMZy
z1U(V)(K1zNjKH=spBO@Zg8`fGK^4GXrTg>tml9CEy|24vMTMwtWlRI70<LsB6Z_^A
zfI}zog=#+)l069f(u0*jeI<(fMUgDjI4N0e>KnnOu1v1hr%DjXdFr;U9RW6(=)b0g
z89`lPVrba|A~eD_VU|S_(%sLy{=8!ZQ=X&ugPatBe0xqlyLBHZ(MGS|N-%<ZYkd3K
z7UZE?=5E5m3Ljh>$hg{Z$_O4F(a$z_m4i&=-ko><almyxnTiZCBWUF^{9RNp1I}qe
z(~4^J;MrBGgtSsYHf_I(7Kb!Eb00cp`DP2zFth5NIZcI{`T)^GC-9(^c=1Dj#1vwq
zvY}zLY6#-0rG9i}l0X^>3g+ReKt^=?=S(geLgwR+Bpq>aXt4;0L?;K)gHs763Ur3R
zveWtsqumdu{nf4<4VXm}99<ket^?pJd@KXFg~7IIu5aqy3aYC7$f1QBAZ#Qk^ns-S
zaI3mqDw$qKYlE46xHJ$rKJt6qvxyhV(#8B0r+%S=wd;RIEexP<QSl$%n;W(h#AeBV
zH_;zwr@W{A4?x@eG~3~1b`Z((+3Y*Dg<dn!(v8m0hlhiA&+9&Ch6i~b4*%(Ip;s>2
zDb>H%1D1qYxf)dl&@vG7DyZH>#p_bY-ZXmPqrz;j&V_?9%^$eDwO?qt#+OqFq6@L@
zeCziUcM)G<E4&-yFZ3^^78#1wfqwVAK9_sjh)A2+^LqLXbOU+QHP)pKlk%f(<!T#<
zBBks&es>KOh%!rF#A|~`+F)V2?FzDy?NV`acNGoaERD|((*n(e=J?6pIVAV@HF15;
zRWyjfIJ)?oCT#Eu3SQ`)K(ZD2R`Kd9Xjfz9i#Ix&@ag1FPwkt-NKsSpky{s*QRYUo
zg1fmI@T4(@*01Lq5|USn=Xtz@im+K!ZL(>=6{Ay^UYm6yQWK#w;|~{64aDbgS-3h#
z+nAnl>A(<HlLV&L!3DH<{@8Hxk{TGN4L@8=dx($}gB%+i_s&Bl5pORwko`=bKdV%V
z4s*$P@rx{=<tDzbB*rN4>BsN(%85pl^^#3Zq38n2%PZrW>_&l>@IPj?)@`Ut#)|>9
z(+jBZN4xU76J&T7Pp2O9?=u>ZmNR>KY5|R@44)PAC4;X9JauF5MXl-WEMm(R(I4A!
zogBYN(5Mik!8X>9)=pa0Jg!+nS-1o}En`Tq_8>X+$lV`kkzZ|{W6Uyoee%+$4n7hX
zJz!X_zdwvdTZ>pQ9$7&(HVe$wEmT2+;r9VM&rvkVT<Og>tyR>s<F0tjWfeH*qq!5V
zHI6cJm$yort)a2g{-G)_l%ZzAHu5{)Bs#pZwvZpWjvC%t=K49K1YPmJGQZPKqrQ44
z^v?a*Kz(sFmeC4IQ0Nyztzw!*(?1Ys*}OK<1qbh8R(~RpCr11466etuoPy24;@jxs
zI~^8*wTj?&Upu}qXc5i-dOKZ)=?|(-44kN7Q-riw<u37{Wwb}^)dr``Uli{3)_iwU
z0P?n#*8HA-in?l#zP|hqJ<J!qxrNGuZGCoK0c8z6rbE1!&O(ccN$X#bCdk9maHY-<
zbRB({+7lyu35S_V=RSx_k^_sQ9UQ&^ztFtVj<;;A^qAh*Y?IxNEb#sLvvAgI3#DV-
z&%E8tfQkJ*z1@Fa7Mg?O>J5+lMh`A*q_>nZVIlHi=K_{xAa~z{dF_=QRK)t6TElx5
z%&<~C=H^8iC{$oxqM6%872@9`w}sg;tw6r|Hk=F$UT2+kd{2W3nY<`JQNW2+bCEKB
zWJm+f&bDJi4~O}j`W<Fd#f@31_of$WOGCqkD^q?q9Y*)5YgPq#vGT^{6r(W$7%;IU
zuiRn4cGW9)e3$sJFKr^BxJ&}Dnmu{d5W$4GZyP*3{aye=YCCqXx)8ueN3wvJ!GcwD
zj2J|B2w~n$*S=Oz2(b42wR-L(8+JI5$I+HS1e?Yi3$6(hAmja0rFZ8zvBV!urgj0M
z7{}MdL^gf`Oy@D{=-%hXQqK*&{l+VSwV(-@y&M6iw!UM1qP$oivn=22rX<!L(CyP^
zPk>udv;ow2eAwZ&^p5UWJZ8k<D$VzF?;cKy+rn)Dj6Kl?|C1z*iI$ekWs6Beg7<=r
zY=RIrRvm`%?8sml_KQp9m^8?qetvqsa36MB$wx43LJqSlkwk;iW#D^an{wmEeyo0u
zaQ)k?0``Su7d-Mz7HCVj_xt#ZV-mPH9Wt{L=9ZikRzo8X3N0t*yAvg`V8#2>&RQy1
z#)(J)qsI#1&RWCjwI+q#`|R@QjTQ-GJ?n6AA(seu=F~5i`4h0A{%gl{ZOGWpzJZm>
z9c2g$D8V=HNMq3l-47Z6N5NPX-VhaCNl+$~F=T&F7Ax*^J;``l4LcOkM7g#_hVo1;
zzjK=MSQ^j4KnzjGShs13Qt#CuN_Wmt|EmI4xv$|Z@2WbcxqY*3{gVa^@gIN9ah8Zh
z_Ab!poz=jY-lh9`&}u_TWM`ejq!N~<ZQmoBp@C7TFTL-c&;>GeSC|h}FqO`qv6TTD
z*vfY!UZ!?^m^c<1XLd#v>mbx|_sytd@|VVRK2Z?}kg+)(Ay2|Y|K$Ie-&Mm-kVg+|
zcLQLy8BsaGB<#$>r*nhl6ihrZX}WjG5E2#K6gBUYuxSs;k&kR-OspzS<i9y8;J;A5
z6ep3eYL@84cRDIqOGT&0-8v&U+>(6ewj~J@n!h*GwxNJEb)_4xI~aol{y0;0vns}B
zd)D_|gbX(Hg&B%aV>o+ZowYPo1xv%rKX^_rg&B9hkomM^460&3rk?OAV}iSG!Q+AZ
zum_iO4lpbjgK4Pln8`6BrZ-?CVReNElmB*ix8;p7IG#04SU9bKom-jfeffnRb4K%?
zse2oP`S7i>FiSaXIQDzx3xyTb#1-ey^2Z1Uc>cu66J;=MzZik$s~?dVp?*Sfh!OZd
zWEHEy5iqgy0=J&ctRb68FBW2FsSvv)%rQSAi5bLk`h|wlz%PTdcT4T5VClL$c=?eS
zrulMxRneCLdJ9rGzcv~Ia#SMb)9Za$50<I1kA(%QOy(u6RSjW)>vrHWtswTZEy}1c
zi4EpNZ{Kjp1Gu175MgnX7o*Sj*Gp670MWCp2|D`#3h~`x(8P%)$2!NN(wrdRboC%n
z6#?%t4R*0*W=t~N${)$#gle|a;zS(-$Ru6SPIyd*<@6LMK^Z6bn{npIS{(q3Lm@(q
zHGk1)8jBZx37nw)&F}MtAbqgf-aOqWx`E~nnAhg(bAslwuz^9o9<=0ij=;NF)c7o&
zamh~(a6g=toi(Tne*12W3w`THJ9ZlhVplm}#3f&?Ok5WvpI@{X?YM>3ho%ZLD|3Ke
z1!MaYZykth7~b)f|B95yNuMvCX9sUvkEON-ZD@%SrVJ#FBd3QBpJ!-ghfysR%2km)
z9&WMuW|p{s4CSYJ*)+0)j#jj`QG^!YOzp->`&JQ$+5-RJpX|{6TjcoDNlnOeP_K5r
z^9yOGQ{S|e<^WrTnJh<pO?V;`C~t%NjYxjW^%TCt0n-`%uSNF!mA7{7VVu@q<fi*$
zeP2aRh>H2R^5&ohq_zw%OiIuIL&es^;zdq))b5li_dy+&ZF1PxQ)$8UsH7s}Fc*l(
zoPU1UN*x+X%mdo~;^49U7fMGIH@Ht5GARF01Lx%P<^yi@u;u*c{vkOY_*PrD_}yO(
z%-C<G%f4rT#E&=Q1gChQ@5&)!II|j5Ttt&jP?+Gjq2=UHloz=Ed*q<`lmf4B(_Q%b
zm>IO*ooV!Z$p;3T?bSz)P@wJ5Zdr*eD}-sS7)7A`pjf}(mSZnxBz(0lqSb70;%)U=
zhG_vX>QD0PFCxRC|4z=-oZ^5Z{_^B`B_T)~s5g`KAOjLeuojiz0*CSYqWGJ_@X^;3
zA0<Zyg|WyGi3o0BdSqB~i%SIRQ{n^SS4j|Sbue2Yj0YB*rcbh$?S}%2sM_Ba5}2Nz
zo+c&m!f&pMM^ryC5HSipTKAX)jA=oE`GtHya)?ncI4S`~`ZHB^H%U-4R4dr|ogebF
zc7NqPk%Th7TUPtxNbq{ygKb<!5M~CLoljLt!DN-f4tF96LYy_Chhv4H_Ozm1>{mSe
z5V%%Cn@xhsi=RXjehWi>KZ#e0P8x)%ADg@}5>URZy|IoLfu_1A^XLH?uqb~mF}*>8
z-L{JJHbhaNy=>lO8Y2s8C$l+;2pPhzDjkxZ6oYl*5nOMV96WJ9BDj=IhUocS%7;n`
zXcHEue~MRtN}rF9X80(;fWJp<ZkGhf<`3lgAVrwA^GJS`Pl4Mz4H2{NrNH!;V0~o+
z5nA+H!;25A!JzTFHCr1V>W(W6P5w~=^lRXB7neHtq{gSUe<px_gDAZ+K?OcPp6W|q
zQU^v+OMUGDX|OYMlO_;V;iaDBK;^6kq=oQ%6%ETkk~waviJk;$ip*-O|1^Q~S9<cm
zuq^1DFJ1rOxVMLfib*p{+OV48J2CuK4zzroS`Y8(j(gthHGfVADBrUNEo<fB!Irb@
zkz5k2Qp3C^-spnPhn;Tc1O<3%UY(wvK!To8Q(8wseTa24p4_La2#%ws7s)0hNY2hZ
zl(g47d@esFq8}7N#)bOe>N8ac(hfZQ88d*M;f?rzWFqul?LYJ0Uj^t#JI_SW0K}xZ
ziMja^;c-{<Oyj5$h@6}qx|9mQKv(UV9!><>qUTHo>_kwmIp8WMU<j!7g;n%85p=c-
zpMKkxhc0sR8e_B})HELUet;uF{CdR}XT2;4cVB3T`eq0`Yr%r|BNV|z+J%?TLmK$o
zZ@BRDQ^9AJg|W3w0pjj!*10q7%}=?DvcDD;%x>Q*%v+I%?ia1A^k*et;or+UHdHDI
z_ZBUFSeFBL!52-bn<9WnG(7j$q{6JDD_8NLER@HM>N<4`g20++Fj0^SM^9H+h&-2p
z`pJU=X`FmO<MCD1dE5{#2oi7p_LqhuI#K1}XStv%(BlsCBSSE<a}1kPB*1cUzm3X0
z7P$3AZBW(05YBSkHfI@^0_&6u0s9N+VeUu_`@_9n8T{~uBbqA-I@ijX-o(>@AThnT
zrx4)l!QpVHHgVWBZyaIr`HgHhU7%ex2axH^PS8Fl3QwJm$+4?%AdBnNalg+9Y>lrL
z&?}2TS;ufzmEj8Vb)L1IhXVnW?XZ&=moS|7t;+K2nMaBThaN4O89=~HQfru?AWT&_
z+IO(bATw_-Ke``x0Af6wN532M!|`7oU5~#_B99ebu25R_VK;TWbSIM+giq-cO|~bH
zJKz7XMzQHbM*q#pdSM<&YY;djOPNGOggs(*j_E;wME?D<FfL$LbAL&(m_lsrdtHC!
z>H?gcbLZjW0D)hMId`OH5Vuc%|J_;D0l#&zN!K}6=qfc!QB9ab5cl}npJqA`fFY-5
z*jQltc=dBuk45C+(Q|eE1==9duhH?!mkAm(u34d7%g7Lx9eIIH8+zPMC6%)<f>Y_2
zEQ5Qi$i3R1mvX$cAhJ=!dT59qsA_J1W-hNIPo<cwjk`2K(@W=>(=;8pjkU0$SAHS?
z6z9c{9nb^@+gHD%@N^*m>k3Wm!!2ZIba9}jR0H(N?WC5j<DmJ$zs~5s--sMLxOhuz
zKosYCR_1;jG|^YkSSbBPbT&S4IOV9rCXXShy@wVQ#3f#*Wc@=N+CMl(i>kx98`H0p
zU(rHdU_s%604=C?&nu4PsKHUuPt8~bEldUB*FO5;pjx2EGE_zlI@8leroYj`1$L?W
z=>a-m2p!+Dc|idYug~@#d+)N_)TZV*Gk|-_$dStk1+2y=L#-llP`>a}BJmd^2;D9e
zXYD3KZ{t1(F&a7$u>B=;y_gw#X5`w0eaPTAJ4d*iO9zO@o0k=ltnmG=v}rpN8M><c
zB6?2ILw?3j8kZn;kQ_C0wtq%~l(M>KW(ExK^ySwltjU~U*C0(^v?Rd--%@>vJ|pD(
zmM^XL;)W-ioHW&&s<7KbDPnYHg5V{eCf$cT;JJL^=)99ENNdoDJ<4W=Ip^GD?j>F@
zpZQE{{!s;%jxj9=(y@ZvWDT8#BR{-ip{lo-ssOEt=PW6O4Sol|9_Jbs0NmS&3yGhV
zp<@+!whJ8a&3{cW=$a6G@w<_=;-d^w?DzUHF)pZ68%Glk?}MysWoBtY%1}|c@+mNt
z8-mdp6;t*7z`AZXZP}{?)_R-qp=CTEF>QU#-%t!zGJ~Woi}v!Ys$au&oEH@Gx4ws8
zkO0M>FU)!GDS-`FgshAjKb(3P*{nS!36XE<WiMqZf%3_x#dg^Okl4o=^IZ-PTAOk4
zD7M$HSEfI15rp7SMPSrwI00OA?yKHqR0j9{f%KhLVIaG7X;qC%105q<7Rz~Mu*xC_
z;u1xmxL0bc+({Om{(TvBlSu{4GdjEwZ&8>%D{v@oL=MtxmKEpPRQC4jD?|G;;_#1F
zMg$8|fC(!3y5Kui0D?~7T|-G=jfkwv+RI`4#*03QVI;WkR#1Q3Sqg-lw+ee6D?!RZ
z{NFw@8PG?KF1^usD83}U-&acoR&;ZR_*p4%y=P<M?MnjeH(em7R;j|@i`!}g^lHG(
zKv<`rk%r2ktOr)fBuK#B^V-3y1M{k<W`@+>KDIGBlchk0>VwH*>h2owQ~r2K+;KU0
z{Ka<B`WYFnxaYXEwrGNQxaXOXSa}#7YTmA)r@)n|+eD3n+MtkQef~?n0`O+c+G?p&
zU<8xsSox^~)rl^mEzcAo)?IUHm_&izFo#s*>v}Mj7JBW)Z6Z)zrjBTCkm2N{b-shn
z0pP7SpYgX*0`K@d{lN$_82Fl(-yAmpI`M$sgX2ojm^W>Ud?dks(VZup2taGon_VAJ
z2J0-|!}wZNs5J}JKfkjlC$&^F>9jHgI`elmgeZgg<$ry!m;Z!H_aBzV%D{g=r@3fU
z5mNgf)~k@IaIVhiMd{R@zBK<n6S(9dYooRA=tC;J@2Gq!d{hZoiAU*92+P13rOo(L
z^Hdn}OrG@!A;SF+@~gysc+fo&_H0$i2=-+&7T@$&1a+H-b=7v_aP5@G<{^R+gil;)
zIiRZmUFvVzgIk0lDEREzeLP0M`CL;<dv87*Ol%I<JmCW||B{yi6I57~bdKpfCkqSx
z{9Qt#oN(&vntf6M6+&LCNm%avBgsSW2pb<GESBh-uUS#SMY#hP>rB||4>c=QLA%H)
z_V~5iD~4cq++WPCQwr`ReZRB8vxe-q-7jc#-4KfN7r8%}NrK_Ld1z<l7}EJhpTl~;
zA$X`K1-562K}lxunY7_|$f4h3(`SkRg0F=WJU)oP;u~KPaikS3HOYUPqYa>^!aK1k
zCJg_|hWB~Z4Wij6BN?_+5UA)*UT1kI09IwhgcP4Kv`d9!UiHNupWL>|HMiu0gFVp_
z`g4=$f6r{kta=Z?8!@5QepMc5`4;*!?CmuA?md1-2X_Fj4>+-FU*!Zg#vNvViy3rQ
zXd}@@T^|}wi`CB4utD=zy;+C;X|!YeXT_wi9yF!sB@+gjAn`_dInU!MRQ{!$-TPu)
zP?uy=mSSUoqRWZWG*c63jT@n(e_03AJ&zQI+`vJ~22aD`k7MZB-hk4ddOCo++t_Ar
zPXnnTdKY8^N6>Qo2=QK$HoPhBnz`JzgG4uLTFTD<K%c)}KT|cT1$UgTko>*25$zny
zUh+U68sFyP^zVQc@Z%f{CNBI!CJv>JReb11AFFo!QO?nXgEMy?v`nudCr(FhY38(}
z?iQvendvlPNUl62uX+VZiRn>3y7U&63iMib@YMi0{UYNVua^)7_PZf|#MkKTrDE5m
zes!3=NqwA?G>`PH-xj4@x{g+Ra}#q9tHV@D%Z$V146?quAJw3gAnY##g^e54VCgc2
zSF2(QQ7T%ki>+xu#zrN}t8~@C`{ZYvBQq1obA5-9`u|!H`v|kDfhr0#=^kY!hm9i+
zCqJa`SM5X&PMt5isZD_d(nQsQ^B97H{(V=kZse|SR9Ia-8GK$(c8n#ABAjPFvFum;
zh8%NxPitaKhF#0*i?4r;Ao(qo5n?j~h~47Hb^cBg@EhF?SI!+l_?!Zw3`&QPVy3x!
z0w+nZWHTr(e`N$YVJtV&Z#aUueRkFI_^t}sJnay1X9VFEzF9)2JBIL^^hvy=SA|?K
zJ3HS!f{+%!MzWbqAl7#$vlb~TkT;a`gOxgpENT(Elg~^cbr+|1w>_1CeNlK_ZEzG(
ze*Eg+iJ}>V*C^kpGFJ)QYFui=bH)%q{~WtG?s=p@q*R}Im<X4;={E~*j3eSLXR6NR
zEh4R@l#kz}iQq?H63bUGfhddaEBao(j5u<fBy#WhAGg@B+c`0b`1;5^J)*jbOiOWj
z<u)ilk~MQhsNFQ8_<iC|_op@FgC%r@^C<vxOz3Cx^%=yEU&QNr$_Dak;dN2wIe9R+
zG+xQuJcrc0>M83F*+e9CSbqKfBnQLZ>0Z>f1*9;!Sn1}iZRBWFkY^rQ4o0f(#0D`e
zBZcqjG=>NMAnydT(=s2(0@viRawp>zWRuv?8-8*ZQD1BD-(i)7^j8y4m>;hqnN?Wl
z;hQvoL;L<sMajVMt|EPs;yR+uar<{9FAgHoa}sX+mWHg+b~*dL4aBN!){C>A4)|Q9
zq-4US;oo~>KI+R&M070aAnPp#5Ob95W57wnVU{@dtom)li_D0O-C+VE*ZHe=ZxSFs
z^TH2>oj=IR?wWew2NrPEqq8_JO@N}mB3IRdcad0^XX@M9>>x^i$!-b5!+Ct~j!6a$
z3}4P~BTsQc+JQp`3Z8iQPcZV=Ct)1S<+?}X7r4PWQ%H+O01u`sNe!wP9blIU-d;((
z5XpQqq_9H@_M^uw;0^<rchjrP+46%J2b!3fCIyAj$9xE>Oi+~=xpwN1Amn4k@wsQD
zVEE1JTUM<su=-ZrJu^TUoVFxVCXPsfNCwYBiW)n7y#BN*vP}e>zVXK~8B2j$X9{KU
zJ15Yk;4Y23h(W|6t0vJ}3R<HWK01$c1NvO*ucnYBFf|OG;|-AlucB>FawIR5h7#AG
z=175=oL`CB8!6z7lrbtd;D<(c2LkRO0kWfQ`M${DVb!kW*fn`U7)zY}yTUC4CoiiO
z@KxjC#TxrDf`Kq(^Kuke?Z`q+^JW6?9={mBz8IB%RRpMUUCSLz3Lq|cvtT?}8qA-m
zx<;>y!ch^Q&?FKOOkxTx?^MXZ8(ag;>2wJwZz{lL1}Xzrc{^_HfE*mqI%L?XE(Ng~
zqg3y=s=!3E5dWW;0<4EUObD*PgVJ%6qgfne$T#*qcJL$-TmtK<US`se@w)W7t_B72
zCPO?;_P9tsG5Hj3K?Y*eN>b!3)!^djiR}BgNuW6zmiI494(bb;4mDY-LrPA0Rksrb
z;(Azjh}H@qx+5ofOhE%?t7t;SPpJc6vPGdj4H1^rdk11aX@J4GzZ>0|nh>(SME^cV
z34|X6rW{q!gzT+jsY?txU^<d}`I3YR@M<|R+LAP(xkfd|HB}GJ@X2q+1gU~O&q&t0
z9u1&QJRyB2832CX%jxZ2-`=i%yXD5I0h(jazE=GQK!)2ZM@mS*{p6lS#NZzHkI_s;
z<`@DZS|`*uNdm=5ystTx0*5wsjV<e_P?8h65VlN$m;0BtG_Ciz#ZId0<8vdph%t^u
zwUD6N^>5OMo)V;9_qA8_H3rLPoPjN8NWffn>YaL=95~N2Z}~49LoOloZP_bT*m|LP
z$*UF*=UBm>PR9h|!bnnf2UOtRt9vOFF;RHI+>?FJ%mlpCP$}fH5;$FT37v4|1Fx5b
zQ64fT@U-DoY2g(`;HJaB*I{IW^181s%zei2@!a<H&J*%r8pTK7Q@)DWx$r%b^EQSu
zoP>FfxGacLwA>0bKcmO5OD)?>7{P%Jrkd<N0xX&s<ANAA(Sp^FWwJI#&>tS}grrLW
zyRE6X#3&BSOSBDaucCq^H;(<^M{yX|>70HP$&9_M5>M{lPlck~1-blm5wO7q2d`wZ
zV@}OGAzIOf@QPO3KO$EU9)F4pQw!z7Jn5RQ<tza354JEnFYp3ldJsMKoExLeNZH*#
z1)y|bE&mfe7i<?fUnS}DV5d{xe)&?4!2bXM0RR6CS9d(sZxpuoytugb=33XqwSA9S
z(jbIFib7OE^;43OQE5jMQBq22pp5iAG(=LQrDRqV%3k5;-}m#p=kuQTbDr}&kABD@
z@xnSj7z(;eC?ts^MfJ>o@nyE4{Ck^&h$tsW@7W|Tb6y;GR!7NnJhg$0%{N(tE%U_Z
zku_eS$>R8%M|qcAuQjX{H`;JHWsE2loMq<-5XWyh4TtT7t>N?VhLjQiexh5jLvr3g
z9Q$W-o?ALv!TR%^Xj%H4*u9><lYL1HcSd9<E~Hq(#93Q@YWEv*h18$fm+fMBMfo6G
zR;vZrmQ9<O%=VGL^e^4tSs{idG`S9aO$*ps+m&|w=?MAwQh>nAYhviv^6!F3vN?o|
zZ&!(j3G$^Q&91yi3|)?%NWb#a3_^Fv1mC_rLt2hO#+qs|B)i$zcX^mW+%JnvuBw0J
zF0Vtyiv42vJSk{^`ho><Dq~}@R&1EhnZa^V7sv3Z0$Cq|1?<OYBJ1Yaapkb~ilT$!
zD7&;`oRc(#?kw4vs6tNsJf6Lx<Ci#6g(aNXolIeK4I}=EB{w>Sx~`9kqM(PVV6{uD
z2^c}$%D4s|Or%v;4p1b}By7Wjfglsu@abY<%sM_)9$Xn&-YkJJLHwn2|BRtZMd{`2
zM}9oRn(A9yAc^sJek$I{H3ot6HB;l;1hF7;G|lX!6b7+Rme@KN!@8`T=Ai{46kI2_
zV<L-+Es0a_mi{s!^kSlq>@^X59Gu=ES|g1<qsMwZt~24)Ep9L}5JQ;>9vz8!8T=P}
zN&7(%6ZE_vUN@BzM@6MzpLlN?{<NCfc0-2=Ietx>oA@ZmO&Xkh{8kR@D*e}doG}8;
z`W?Q91thTM7Uhp*hypr%ui{>8HG<<WD=X{eB=PC{)YJ<!C48pyJ#n<c2-+o_t2%9@
zFh%gu&!oM|Nagg6yIN!f&o-59{j-OP*&dNrU&2*z*e<eN{;CnAjaR?zuaw5I*v(wk
zyH#;XcXm4Uwh_3Rd}-PxA&VL&$;P?~Y8V$u4lBJdf>0ib$caQ6I$K}9^6HX0?mv`!
z$m*{Vr03C_lepyZ=v6Jf`>27ghi-IO=`kTZOwqOKq5^6WC!^hmG|@OmL^=H+6Sne(
z8I?IGp^Ev6#85eHZ2s8(Bfg6XVrtq>)A7ovC?&e0$3+LZ3{&lceU0HpvFn5EAQhCP
zc~{g&(Xl~u{KBeV#xS?!6kxVi70D7VUX9bbIPOn~O`SCXFVgY&2WvHa#(VCO@g+Uf
z&h{Ox_ArI=h>`jkJ#~z_y^Cd+p^rXyqlUfpSm5KN?V2N}fp-SZ9vj_gfNSk9r?$wM
zLA|p@rY^T8O4bL5BrF<Wui?`^Yh`nAH&*?0^}8m1%g^)C*ky<=ySnOXSr!oCUOtpu
zsfGP_bV4()7^0Q!FGtT!mQdW=$Hy6~jW61cPUfC5#MYkKKZEI3P-pT~z(7?8pZoYW
zzA#_LSC5<tuCj(ghHJj+T^+oxx3y&HoB<B>%BXz$ZUeS*7H`(b(Q$QqwW~^@J{H@q
zWWDDhz##le&b_U4^x?K`SQDm)9+$-pLInUS?Rs+6lIUm~sny0iynJuf^T(@?0919B
zx18Ni$DSQumFLZLP_D_4@p~BHr+52Gx;-7gziHNv*`S5S^r5^;M>~*|7~j6DR|j8e
zojY-Eg9ciu(<P@;?ZBN4o>^_w!OWz&K(7^QXhBzwY$&sX#YgAwl-}0H^!SF_<7O&&
z>|e)2lUH`IXKY>lM5h)qPKFe9gehX}exC2t7CZ2zzEu<%*TjUc|5;tnqT%`I^pz8}
zcEE_75=<G@z!znsCOi40F|?s5xh>ZYPQ59<pw^|1G{Mj-zn6Jk-uP#cYv=NNLg{#?
zP7V1pue`WBB!=hPp7$;=>>z!5Ze7vk<@t{Ir!V<Y2o*eMWHo;SjC4`6Xa`krkgO><
za+VJj)69Q7$pg5=hOFb8l<|OyQ$ZIOH;$L!z1OP%PSHm;=cOs4@iiy&d#W7h$!Srb
zIzYge>H%)WUGgaJN=naGFOfr&hYS}@3E&GCKa;hahTD&ZG<dK2M>fultUaD+3&wXZ
zM?F0ygU_mLYSy*Ql7gd~Mz1&9K#mvxX`5CmzN}bk-o>0DM>BqRK9R8jhH6dtWm741
z@)Fv`Ts=+3`+Dm2Z?}e!w$hK+YnS_XOf7HWoF@PKv>!SjS%Gr>$((Ir6r4`ZwakNQ
z(s+li3QNcet_#cP`k9MkvcD(0%kVVm!2dUEZLlSD>`w_T&=Er^fz_H#(=()3NYu}5
zXaQd=Ciy1!i(u@JGop6xbEG%L-}#!d1(Y@S&o6ut!osIYA+^KvWLt5irD}>fcqQao
zxWoyfV~4!e+|vc}q5WN#kzq5KRV(qh<0XKRysg~S*GnWDO~^`olNoeVK8Nyd<HvRL
zWRV63JF+>ycRth1f)9}~r`F%#L+916c5N``z(b?6dt&Ta;4W1>R3*!Ydr}IUqhmQy
zq=nzB{_!%ei9v_!RlFF;zjI|uI~S&(TZl`sGKHPbylWed@M7^z!wI?*4+@G~Wi&rA
zfyLj9)AF&r$h78=PjBW$eYvX^CC(<WCF!=#<au74k2^5Sh~URuzuS&h?~Fly=ic>G
zA9%4_&`D5EQxFeQLL&2mjp37H{1aJQJ~T?w$UF5<2wx;iotv9uLc-~Hes>!AaAI@%
zywaEmdd_Zqek6+tzOpGd+++DMgKf>`*GI(ge#ND#|IC<hce+(^dbI!s#N2wuRw$0<
zd?)Ocz8OJ1&4K5Oqae1NtZ*RSQ*cG&R*^TymiKVb(zfI+Lbz#QY`30*B%XE+xHw{C
z1X`*KHr0i~$Z=?MZgiX!vI4gTPE9j_;_CG@O-K}tY@)A`6IATsHM5DXVt|Qrb$RAm
zF{C|QD!!K{gK;K3{QSubIE&%;j_QizuUeMu8x{?VcY65k^<se3my5!K3KYDnaCFr{
zPI<IACb#LV5d*@Brfcb%5_r^6_w}a{1w1zSD%n?t0lM~TAHZ1>3o9Himd`37L*=va
z4*>@32=f20?~oKGaz4stQdCgZFt>F7^0}F6`)0!yD#o%M?{zm*MZ(PwqL%CIJ@uZu
z&P)a`pPcI~4Ohb)5vzp&76USV9)7=6EsOJdqGCj;I%cgOj~?8{fQ6Wr5?&uUWNuwJ
z>%E|XKc#gNJBk@FNNqDZDWZU@{&eg*w!Gig%zHbEvKv8#(du7MI~7q=KKgOuLv5^h
zZb=D`T-MVZmD4g?mC;V%Q+bCB9l0;5=|5f8Wlmn#2MwE5P+mEki|apKY|HPUJ-x()
zhqc}DZrfGyr(wUY`fEMR-E;WS%Z<jMyYcdxBhhM@WY_8}B4&V1qeA$IWdh8Le1T_=
zsAIuMt-u;HL%baM;=*%7Q;07Ycs-k`fkNf0y*1?-xa&vCIl_qr_r89}PAb$y)zS*3
z56KMF$?ueQ+iM1upD%2&E7rmv7B3^eH8YTZhk#b&V{<t3pNHDb%i35dSCf`K%E0FH
zuS^%HmS82^s92hygXk^hKR?94u=%wG_YPUX5f9ae^DF2`%`tAL)-dpGTNA}#&>Gf7
zC@fiz&@my!?!akZ29^X0_oTSlLTeXoI%cOX%J+JmQ8{ghe@-~*&fg@Uvb|I+5OwkL
z-Y-Yw#0@aE{IS66y#OuVUEkjK>f+}%)7g4ky=C9U{cM8U4t_iSs#a>##i1AfUfXNZ
zkyR;i+&$3_UhX-kWN|_lEiHCj-0?{Z>ui2sE$O#|u;|aRe<gKM&t9}{PpAgU^^`vz
z)3=8j`*{7na60ZD*er11mnvT8&u`f1XAd7n-lAug4#vkA8}UUcqf7oJs|}I%@Jr}L
z$d4RtB<e-}xv9wGk+0Sm8Ey}n<z{Ql4{71w90}QXH>Gh`;ifedH+u*SmoZ3Kp^5yH
z78laaNuXt><wsK$dw8Sn+NsQ@fni*Ydmn!m#m?Zq4~o5ZpdI2BzPeNmrJbL;Z#=+{
z`^6|T)GRwNFd8p@<fDq`RXOYlK`!i6bm*}FJNVEPv3V=E3Z_z}2cPmUk&@$E4!ZXN
z%$3Dz4Mr)U@a(nkbN8mn-q(3r^@#v9d&5TmF?nQe@rc&=K1!xn(fyAoEdR6C>)`jN
zXn63v@RjuwzsL(>-{ajP3D~IhbMtC98N9?!JCS{)pFAG0#gi<u1-r3mijf%=mB(#d
zFR65sXZvA|bf*pMdgPa!xy;`dBTtvQkq%O1zeIngv<+;?QB>J>n1Z>gBIX;TKaq#s
zJ!eEWSc6A<MbO0_G2CMQW7K2SCvu;A#Cw4pE9h*zF46Z%1PdOGO(ZRSCOa-y1h#ft
z!p4fJ5PcgVd{yG$@r}_*uJ2?LDf*T$DAzEUJH(GQ{Zqul7u{sQz&2yO!xkVXttn~L
z$BX`-wpjFs^^sfLe;8E1HwT>p&Wap)9z@<lHddiONFw+BO&KF|aBE7m*nXZ1*Of@0
zkS-l0H;bgT>Yg!!<SrjyU1v^w{^`|8dHrG1*Rxan!z2qhj(B?(=yPDIyVs@4oqtL3
zd#Yh`0W2s8O`I=xX2%Y$6s~mNG4g|}K+mCOQz%^%QFi478~&0iT#@B7K^`5%=#{pn
zU}NSY{C#1GtYY)C{<vd`G-NcLbt*T3($TCV@`g)ffMR`f;F%fn>44|{U;`5fw7l>)
z=H?>#q0joZb;}&-w6WMH`?fI%UEa0AGIWvTU)1llS6?9IT-owI85jenu#iG*$Rc_2
zT(9B3tR>Rbg(0C*!Gv3kBeU~`i)7jUg_}-N?D(w6g@_`U(DMVtSI8}qBR<hGEqgeS
zb-JUj^|cXvUlb5H_iBlxRrZXQ^l{?ue;>M51sZ|bp~J;}zHFGSeKWFjCpR{4%3%DN
zVnF8o14h+@Y<Op93ayjEi_Kex_kBFWfWKdOH9|7kaq63N!oClD_^Re>iTbiGTn#*0
z<KfSN2DUsm|I`TJ^@H(;Ic^!k4V%O4EPGD$`jz}({DlxUhQBs(nl}In^JkHW6BkbF
z^~wg#i{J@~i2BS820*(|(5o53jq;U4LN`mr(5Fg8ChM_2RIXX$FLH|q(}Ok2l4itl
z`l$Rh0Rw$_;&$XswkRLIoBYn&=P!ZDs}hF0O7uW-4Uh4c9Dba*5+&5!C5hVOcb6Du
zdeCaFEUWD*h*?_4w|q#XB5_gX{@PYusCtuKEublkQ4z*}e>lltx8<&ehJ(70AeUwU
z`l7hNbFBglX!z^km7zW6x<Fq|@_oE7hEs-_VO%!yxRo{U7R|2<VyDh`(tn8K4U5%&
z)EGrvurDuPJxYg*(R=o*m`Y#(LzNo8Lm8h8uiDx-MhDr@7Xg;bx%7HrsH@LC6+AWI
z7jR5m7xJi^j(2HO(LgAmp+Zm%Z_2SM_}z8k`JpE_-QP;%xOdDBgE)2cS?lU`wL%wa
zB~|{OydaAW*5&U?*fdc?PGYT)qaKVNZaiarSPuV0J4KmY(89!v0$CC4`p_1^HM2fV
z0nIj+n$=k^=dUs-vmMt5KGj6J%Uvb>R$CU=Jw!*wcatuCB||tPMbPW#l(E9UB<$=J
zJ=~C1u_3~V0U|<n*@e2Q*nb7`=GPnGl`Ui9wF*X1#SpPD4pqbVx1M*IP8(vjm-A8;
zjS2PI&yFSCQOD-?>vD2+417G5!}Zn17&Heuf83hZKn>-gQ^Qe4SRv@)c{I%gko}rP
zg`E}#`kqLl@iTEEOZ3X!DN_LP(zuf;+NeNdMhPEe;%*HK8NYNhSfQ4FPxP@4Zh6ni
z5JD!>75VHpn^^!=T*Xqkla8a&=Z3z#Vd6<kdcWvDOGw=2;yKf$i!G*e?=uRScy8m?
zY5QhtPzXt|Nv+Yt;hNtuzAPqsEbiZZ;*u>y1nz1c->#1@ztF4>rW&CX#U*(}AAl`d
zAjhFYA7e84LtbYx&|st`+;|C~p&(UbO2h!CEpFV`Z#TewE#&3!YCAYxGDloxGr-iP
z>SHysdgy$nCw7gmJ;=L<>g>3qkBWPzZ4XH4;I&*Yg6E?>6h0d@wxsG~a_-KTx&0dW
zG9yN>nBf3Na^fSNFY9YD|Gl->i&RnUPLY-0HV3HixY|bO>tcZ<<=f`pig-Ew-x0Tc
z4nSWjXzU);!CqF^ef6(0xRBV9v17XfaCOi2LcBIs&QxDI?j(VX+;3~&S~x&1N6*yF
z2~D&<UTP7UDulgT6judK+Qa##B;VcM8u*&w-m22bi88Ijd4`wmfph4^Lcl#W6#Q}`
z94co>yH6pqN*4B@W8=Epi%%6(lr$gKb_|eH97|tLHQ9lwv3u$Cc4aiF`Y~_8d`9v&
z1|2ltU<c9>Lrcm<3K+?$C`<2eC!%ZrGpBX|<f^J)q!!Td+a?*M8}uJUsZNwcbO=Dw
zY~U(^7t+}M#H8nB$q2z_Tx2}fLxAFq(9utFQh2HRZR`nRj7U7N@@)33EpV${kX?U`
zf})jgJl{|zh+|1~snyc9aHP$LdNNQ9dER}xAk05WTuibN{bpqY)%lN?QVN8yEa+Wb
zsOKahKz6E@gjhp<W?`~cKOZjIdikAKnk49EXFrk`t$=fOg8xn$H#X4!ZZ$hOK}<Wp
z<D6`_1W878>eUnuY)V@5@ObSwk@H`FKi9HP%l#3RdjIYc$v*bDMDF<*(e@xk_M*Q9
zWI0rM?fx@Iirja)oc3sxh$z|i+_%IW>RQKp79UTM+?n|~PKAGoo$bd3el41T^Ify3
zNr7=vQ~fLby5=83iv8&4NpCZde;@MXRQ4az{A<n5n@Yn(A&0?FgNH15;^o@7G%!e}
z=U-g!Wb>O?^ljO`R+a^{om~UupMKIPg0(+6ZII~j$XS$3GzD2M)A`Y?ZgRVOH+i0O
zfDkFT?Xqgv1X|{~PPU)_On!Ou)HA;P2SMFRQF-id0(o!GRE7L$Bhxc@>~CKBPP8Il
zt4*6RaJ0qdDVsNu?$2q_K2`k$H7&>e#wue_9^Ow3j*{fqm{I|sa6fU@JndBb3noOK
z>0o<ztAt!x?3q%V*+*#o?s|32nF)Vcjj3T4NyI%l?cK!sJ|bMnMslvv2%;$sW63r5
z2(yiuZLW5G#CcDxca?5N;756@zx2MA@NUBmHCy_KK%)oy8af!@b>hY0z>#Ofy@twd
z`49Std5>ngNGJmwj!Q>+q%{#~k>z5(#{EPPx0B28UqkrymqIADy&-O-ySCoy>nGTs
zy3T%-HU#Qe*jwG0Hp2echP^MIekWFETG1;U4d8aX+q0s-?ZnMzN7nkZ{~#ECCenfX
z^?@zo`d(JpN8)r4`<c_!0fJ3HKJ?*TJ&3f)`S<DPXJXeik0RZSLE=Hc1&i!qUC;_S
zCpokCD^a&HR_uV;Z-QDY!x~`dg7vkpE!py2M8MbGv7vIq1cwU)kH^xXLu)R`ZmgSV
zsa|WHZuN&)eO}2hyg>(Ym+X{{!+VJ$IgS{imcK-B{z;`MnhtF6?|_7bJ|gG9QY^p9
z7(px3`f@5t8_utx#pU1mPW%k)naar-C)&%uc078c1xdp^Rg8q6L{?+44v*C&@xZPk
zwAV-r+!uK#g%1o8S)XMKc=@M^-w~@rgmW}uY^S`sU%_ueGR$4DjdzwnwrkEd+?qh;
zFS5>^876$Ir^OYl=ZOPxj|}7YX}}pi%Gv<Ozr@uK8|j863j~dOebo0Mb$IJ?d0%G9
zDABn4#lskVHi)~a?Qkws9WF-d`9zzJ6ZH#1TEB|fK}XZ@OZlK0?AVk*G<}~SI=43^
zXSs5Mi@`;qv`96`vN<8ph*Jc2#uCQLa)Wa>b-V9^D)2k^XK=roAtJB6QTj*ag@&{H
z*w3C;h3rjF9n<*d3FixAUnf@b!ynk8{D7_sJDEy$ZHWuS%tcPEd*y;KuG&FvYF2^A
z&z;z3<=No2hcG$5Sp-}J(9LI`3S3k-V7Jd@2lpJV@`PeBcpKdIsz65t%yfkA2ikMO
ztlP}|sudL2^;mvW$WLY1pfs22Ai=%tM*=EGMJ3_JK;0+R`^s?ZTmDUb30@H2X}w^_
zLxo*O+qUMWD}!yH((^~o{2;x4JkrQO1}cS$Y?pQ`gS1QA?CS@DFw4jvdUc!z?w+2k
z-(kwoCjRm2O+OK+d~eqxt)>8HN(T-cja3FaE-31~CI)j=VtvEYN<bSt@wM=(G6YZ6
zx%CqiNbS9t+MTKbfj(-@wS&q~+d_Oc;gE#gpKaobjn!c1lQbR!PZdzm8~L3-A_bvR
zwPq@u8gNO@YlJnR0&Z%e^7XtjFtM`qp6jG0*z@`N)9$FkwuH-}o$F|DrD`mIjb8_(
z-*4bnFHrzkK&QV0@T**r|56@gRr2eStaRb=r+z5>tqym^K8C%IQUYtOw#SQU`cS;u
zKe6dQO(?Y5yp2~&1=OX)X=6VOVU6mGj1Yfqs0t41len!4=>`F<&oqr-)!+@jZP)0q
zd20uCi?cdxX60ukY+%CNKZh_bpXGW-lf}HpG@$saPq0|5F)+U$P6z}Bgekgf-?*g(
zGedb=hm%ZT(E1nGFL5Shl82|bLUmx6cj?QeU{mP!xwQA5vI$%{?)ZINSr_i*ecrf7
zlm)KWzeSpcvEZlqs)IF+dayMxZq_7<1+V3T&PDW@!-#1J^@67Xe161dUK6*Br)Zv-
zPqc!dc{?AI2Zj*5`g#6#6&Bpo;UpK0Y@w=^=c7{?1N2V6-{<FT3e|`CgkJ9ih<1&P
z=6%P2YUAx4dGaO@?YC#9{=Oafoy?*f6E%XF6Y*Ke`<c)w)Uo*TgFVDq!~|TIHG(5?
z%tiVA40tUb!1?oy1FUS!n@ApEK-brImsSMpf!9#%&+fC1ASb4^hwUT-I^D>_>PNMp
zbJE2+Ue*a7H6*7Tn>2(NjuUmc*{Tpf!F%0ss}tCS`sWJ87=W_2<mppca&RIfIecWd
z6J)DLFAWvxL9_R&43jGq=+f4@6XxOsyv#eB<#Xv!+7K3)tH%vB?cLYwrX3;X>gj}I
zq1y0_3Dqf6L&U2ffkCwtM|kVZIsZgn6NHqWe6uL;A-!yecAuGd00U274t%Kw2Ij|k
zh`M<)<kqO^e2@dQyxHFAb3g?`42#lpR&wJWK7+Bk=l1Z*$}Z<XtRk#V&GdZRD}W}+
z)b%Gc?SX35ST@d}fqHS-5-}-)tIFK=Y&~WN8MLl`mKGHhyu6AW`ovH<ugbD(9DpV6
z{Bksi0wJ%mvg4Y?ai){E@<=eiDfGH$^g$SUIXC7Fc~DSDf^_7lCLn^FbhSIk3#&vT
zGGxzDu*@V|t+(11w$QG&`;@c8FpKWCHJ^g_`PBooU)g}<-n@pZQ!_-RQDL&vF$#J<
zPm=yMXbm<k<wa47e~A0Z!lA8OD7en1T~v^24St-TIX?dPm8dlKKBj6!!K@~mrl7S}
zz&2Ub-;<Y13JKrh>tUndz+UYGpU+sro_9?4>p#AdJ63dmEc+;qEj1@g!n-VB6JgYm
zmivo5*Vkony;>ZV{^RJeWLdzq=y;(UFUH7Guc3YMcf`>eb*~=FGzV=@rM|V5(`3xm
z`*A#F;>e&5HsL=rIOOm7^}N|Xl68nuzv8txPVp)S28El!1%~VFb6qyvv}auS@q#!;
zD6V}b)x!d|KPLNUBstLHWps6n69ol1O+RM(v*7C6jZe;Zabn&%vjK}D3R(;~cvf|r
zg3^Vfe>Kl><3ri=y;l_^FzTsSUic1ENY#DuCzr*G!k((AeOCfc@Au)kJ!b+R#=9ik
z-}0g0yq}E8MoGM4aO--;853|@*epohE`Wc8*8ZodB!%vKV@iw+P2h9648OyIAU+n+
zqy{cZVW@4Ba_c)|u$bF&l)Na6ytexk>}RNGK1x$BJ8TR;HjT=NIEdo9_tLNQg=Mgw
zCp402Yz%@~ds^s+#E`32CNjZB7A-6DnYANKIPY2NX|h!u-&*Kx$T&*FsBdq?KRjT<
zIWDx>ww{7g<zd@Tj>@4#{N#G61SV)w>a%>-N#J+kSpR~(3fTGU;GB*(6YlWw_$Mv*
z!x6N8<qat%jP%HU-eJxJ`vDGy{$438I-R<BIaC?%$C|z3(PYAXHv74~1yqbl_*D4X
zLj{wZM^lTGm|)U**xRX78g*v2H&?l;;!C!0winCz5&gdj&U&(VKdf0Me4QE=rD@#F
zux7%gb%UqBoS<PvZiis9zdC;SIljCHn6Tt#$R^4mj|=Ikjao4pC>w2)`Zt>iS;0<z
zN$Cn`|FX7q__QYOn-DrJ(aVIgk9UGLDl1`=+-!H<JuN()+vxSq))=x}4<D2aR>pM;
zDfipoXk&%O`T)0k#y~mr{@pKI6>KUi;XJ;ad)PlpZi+KAfefuUF$X18Y}el{xOaw*
z2AdV?+1{JLHPTPkky8zQ-#UxAPw8S&kDH9jQB!cdq3}0<Kn?!~0096043~F2)omDu
zW$(TB-kgJDk8>YX2o({PqL(6+NVJq9QbsgTO0=v*WfXq5mXd@bvLkzwmGS!Xx&L}T
zpL<-_cWssFvQ&pA@-h|mq&XWv$5lF`ggQm6S+ZNO$kM_t_bSE+JwtHsW?A`?r-a><
zL+2_%8w=~UBnzn+!8XkoNm&<_aX_YF_D-QTMqheXQLSMNM2p|<1$z~I$^bq#gWAZo
zoAh_Y+ytiIcfI#vR>i6why8NB+89aCyKl|S6kcvNweikX#RO>$EtXVm)NxP>Iv-{R
z$<Db~LnvyvKXH23D62M_2Y3eSq?khhos)oTrW!s--}%B`PYXFMwO!mFS-=|YSHAs-
z8rDaL?}!)E#7mpch6p{O!d>5YrA|ERXxupYgtuB9|NM9_^V<esE_~#_U0mwu{&;Xy
zSXT{omx`)N3jvxRT>RtKxA7im`{op;f^_7BlG{u)*#9{#{LXbXG?z})w#-n%e;S-m
zD{N@cu<+?;qL>=qJAGhvZ;=8vNf~9RgwvqbwAQrooGQi@YA<P4%c19|zRpJ}G}xh_
zp1E4Bf*%fbsIL~wpp1Un=l6GL5Et>>Gjc>34?Q7C(l{iM`ro6-lIt{R`m50CwxWbJ
z|9L}QhA6&q`6s6tMgvyW1IO!E6p^Lh;(JB75Z<%BucYBf1GDVm5|e2KjQu@mdhHQE
zp0<9lt51{$_P_TJed&_Nj;Qv(PHMa;c=7T1D{TP5s$<W0*UDj(M1Ivnc1{#-a3YM8
z0nQ}Zup5`jVzq6r!uDgVcz3(C%WrD{Bk_gI6K*n?=T;yj9?paxqP~s?4p1Te5=~af
zSqdwJ53Xp6G2my<r|4=<g*c7G;&2}c<o9rTRb;&h1^R?l2a_ydrZ=BAHAM_tuZUQ-
z|6C_N$!p8=_L+m7qd}`{j|dhBt{9oqtr4B}N4wng%|Z8~RoMdvVYHyi2$&755H4Qf
zl!;g~AP?r5By|X)$VrcZ%wsD=TbSv|;x1FzXQ*)_CSCyDqC<LqM6D1DmSy|w4NW2K
z&BFD4p8PlxsaLGRw@Tb9wsWPVn82p&RF{xleCWN$_jVus8qr(!s-KuKh7M&{-VR@0
z6qP-eZ@z7vsFxa~({MG0?zf6LtwuaZoBO&=<QN_L9^L)qex(syCYma8+PN_Bb#JJ&
z`zAa)tMkcJ%?P~H?7kl^<-`NuoK$2z>G5i+P>)cWA!P06y<_v419y|i#@8bmuqDbf
z0=Nue;O%kO6mAZj(jUufc*BTHVb>Pxq79&4wvzp26g&PVd&IJHGo$Lvri)+c4dAnv
zm7bj%J2uAq$V-K@;34VO7S||!c*JxrTW^^S**b$5BbQlG-pAv9B)dL%=~fur_{)aR
z2LxjEZn2|<?!8?9n-pl2&;RvHj2*9yElgzFb7E9~u86S`1xmMWKl<K>9ZQX0<z~rn
zV@#m*1)<k^aCYYSuYIlTIJr+!FNc*EZ-toX>hIEnt?v)KSPSC7!X|xXE`C1DQOt;L
znbif>%V+NGByl3Q*Nap3TKu@{Z>N)0nl9WMw|=lyfD7e1i|>EgD}deu3n@+3y0F~s
zctlK!8^3WqHDA3ah|3Q2IwSKsa8}|>BF%vZ#ry&f?O7B;neo*ny5~BuzU7{?sS_`<
z6c)s|`-$N54E8UXK|0`+rpw&K$A?Ov4I=-W6-Dds@4ovQ>wt_**u|+oeE8+@8~cy9
z#j!5HW{!tL2lkhW&Fg;S$Fr@8*B<VcM5Y4_;)e&wkh*8{32MCn9-3jW>(!G+J1537
zd+W$hBG>V?vQH2jw!Xi9Nmv#S1W%k_tR#bN(5Vy$UST}EXS?uCxs5%Wza{2ZL54Va
zv;I@NL{K;Q%1Ez?Jo=^#s4RXWgHOfM<J{+>==yF^>%Er(`cpm6@cbdeeYuG`ekF12
z{J#1_{H7uf@kRck@aq8MbF%H7A_-(?i(J?Gu7vXRBRd(LbYPmpGpg1_3gyl}YflnW
zL6I#Lf0ZBWz&z)fEl+u6@XrwqCwd=Myq{+!znNDT9J-^(+k<3LHP#{4u}BRwGiR-4
zuj|4<hkrnxmmEH!MA%T4)G?i>%O+J*58R!E!|L|P<5rK1cqao*Y>!`2bLicuZympt
z;;w-7^QDgzytI(HYVg{t=M?Y~uW8z`R}mZY{El!Q*Txo4IlrcKePCiT(kR=vao^OP
zlP~Wh;jT4>p@w?~u;<X0lb!C$_}JXcrG%4=MOhtt+Flz%lQ}*!c2vP*oXP4Xj${n}
zD?QaWY6KY-NwF0aRjh5=RkQsV8Dp3FBGa`@;Qims>@gNKtccI;S2#jO_w<aW?Waw_
zH2h|^$Xhj}l{<2LGbLkPtJyBWFJ@5r;&aJ$4|TLYv@<08JqdptZH|}_u>cVsrMgYc
z>R1#Se53ibHZJ*f#T&U%f%a}h{gr|SK2R!pl;fd=g)cw9Nu&WN5A!z6Y}P<4y~hDX
zFEy}r+?-SL69D~i%bCr_8kqi5RMq{98kV!{CpgV$;3p$$^<qUGb7TalX3tfyB!M&*
zl1_uvRtiUZk~&V^tf0u9P(sq57Sa8^8@!l}3Y}e0!$<TDRh6m=*sC=rKh9$b`+hXF
z=IX0q(!b!Zf!(rrYw$JqZe>f*vGA51b5zBsk0;3dJEZWovRqiLk|kLFDQHWyRYB($
z&hv9JVrY0o<hli~C0N8Jl+kM{qxik{n!Q#+_~z7cN5df+<P>=;j&5-0;u?w+f8s;?
z?Y`xgpVJ`k8IMxSTLnCsL``xI;=)wQk^KSzH1PFv`7nJ+9t}+Xr8lUuqHyhLtsE&D
zsH$#pZQU$~hJN<^>m>|$$izAHXAJ=3+VRtYT(WpJh*09>rNgT?E-Q2d0A$O3uex0+
zg%1bfjSFm+iQ>P*Md{oC?7zfAE}oXa$H||*zIpqX*vFjfYve%%(`ucLTvstPVPAgt
z`p^tPcXKdM<E{lXjFgAGa1p^+TMkWOt|{VPz3;RBc5@I^bFE!EC4{<yZ;Iz-#)&2?
z)wN0~a|qmNEdKtz02a(Rhzq2R5=yPYXY&u5!Jces%^(AQ{Bo{FhIQ*Gv1^3&s%xGp
z)Yp2}WY+WI!BfFIx6F<b2_;81sVthnz{|qCZ=yUnIm;emer%lBwz)>d!`1}8N>w?w
zc5tFO!)8|g8<T`5!}$cU`^NAs?M<HG06VTq2ZeCRO%wJR`<Z-~j37Tb%)gh+hEl`v
zef-a72<w~6GF#n@U|(P;S712{R^_}`3Jshii~?$37rZfq;ev-(JI^qq;R)X`VW)Y*
zByM;zLBSBt)feg<J;8*Z{&8;?a9<>B|Gw?)NHhSoOONv}-)F>!+fJ(<Kfg?vU$RP$
zqcZ?aJJRmDB?go(_bmJQZiOiOywf8-R3Ew+rOLH0FksJzDn4iBb;6VMqpEX)0@qyp
zB&SFW=<}Sio971|=26T<!viQ#ky1yO$IO7)F0>OBO7wW{dMedpLJzEej!C-EGoU{A
zNipII172G=!=7?N59aw+B0-J;uL$$qWuj+7*NPpzitD=IHF(uS;vfT7drF5lB{Ac2
z?&HIX3A&)T<5%UxI|jVyU({M`#ER>IPFA^cx^VIt*AvMtjF`RPBp$ZHhIAd#>_5wO
z;JZ}e3y&d2{PlE@(Cp?w(NST~AFevU*)(~$Dwhc-jJmgp^>d+&NV#>(A{j=X#5vrJ
zXU4l?eZ_lNc+rxhI$JW63<XyG9a+~|a4>bf$ytXFxBWLJ_t%~b=fygdKb5j#Y}XCt
z?&JI@!dT{edYuGa4pXwWo7mCG{#op7tpKvQdb58%PJ$I><AaZmaUj>nZiZwFA>1W+
z$+>%48-y3L*wY!gaAscDvZ`JfpLH?qp1+_CT>7h_5^uS2HB{X0#5qx1X_u}(C#wyj
zw{kL-T{gTW?EC9<dvT0?+{Ulaqy?#l+)Nb*`0!}Q%iB}tl4z>Bi`sTu3qFXj2(Lx*
zqrs*6_`golSlBo9Ur&e@$ovy?l&uuNPE`iNXNxSR+a+pz_0@vJV~hTd{6hGpM1P&-
zq#U-r7^Nhh(t@CZ#=ZA03S(sgmF8L|k2Op!aiKX{pf1C8WQ|)C1>SsL{mQ9`UIXRb
zq!ld?u#(}HDHFr+wP%S=!AiJ9NvW$1)rN@4$;{mm8{T+xE}d~u88dqY8Xt<2Aapr1
zFxpEB!y-DZ1btPpqGiFxeUb!rWj3GtJ!R0$#IYc8S`F#@-I%wZB}18Uv~qBzEK0@q
zTq8$l;Em>7zE~+8sGSfyf2u_enX1eDv{<x|pV+?^+NlFKuZ5;QT9QYp;#voxC~f>J
znWy`+QWs#~mdE=Q6_Ik|p&T(n!X)whq<TUR&L#I`Q=OIY56e^W{M%&o<b*qS`zRpq
z<^6?WBOf()3Wsl(*TJkyZyI)}8bE%P0Cz;53L<r0Nh3iA`=qQZPhB;H*|gU4_dl!R
z&ril>tKW6dvy=GK$!ZM4CuZ?_vl?<qe=F@C)4>n+^}^fIO`z6|Gh?_$9k=vw<#aab
zV0cmG>#K%l5Vrjj%Ur4k)~0`ckQJ$ePot;xueX@P4o5R%Ntz}~DnPmP0vS`%6d!c@
zQ=!rzMAxTW6XQp`y}2o5yx&AH+zth}h%?e-|1`0oCn4rqxHd*C{i)Veq``?TnhZXS
zTIg4HD$Gqw6IV`aE+|#dV6urDA{#VuI_KTZ$7vh6?ddCx6(dXd!>OB3_SD3XZ-0(m
z{Gp5;hVfbnw=JRlMq_I6D-Eppb24~hUIAw<9e=sESVF07w^hgnXQP#~Y-_~iFsSMu
zCHk)=+`p@}^YsTcEV~+6lJ-OryRUiYmd;y3-cZ}Peu63zUmmcKf<%xSyn5nmhb0V?
zRMLYDRnY9}wW~I{{8(@<X6i(qCA^ToesM>w5)NH+y3E+biCa#1s@5E`1RnX@64Bcg
zvHP<~v~U0uhFPW_9O1VF)>|e=^uEbsV)*3cE8EtHH{w+9PcLY2XV`Xc<_<aR+M9k-
zcx0A19o-e(VZXughtXXuFJ+K+^}e8l_#kmUDsoV?7a(U?P;j_M64$;k`|_~-Al_>0
zOmzhVj6Jlr`9>1Q3nfK!&zO!8=iTYrnHT{^dll|QJr=<f^<WMrnL29!To?Bb4Jvri
zvDpvV2%)LeZOewYKdH@@D6z@e0wRKZ*GOUlxQ*fbiC_7hR8ki$;%9_8yq3-K)Dq>x
zpT4ivbF6!)49`2OB%hnXQ@6b{idVUDG3bf2W<(G5nq+2!(V!{F?|AU+AaGy@FWovN
zxtppsWAkjM;zr#po&ShEE1p)<GTnzARQ?QY0k6X*K-QgVd$e&Uz1v3kV6c^1e6+g9
z`nfTz_P_QSa$&&!Aoviy>j%}@wTI!$nh_lMRnk^yvkChtSuPk?PxW>+tSomjf<2Ba
zdgaS&#6hPqz3Rqy)PxR@Z_YCWZi>;l(vE*bMIY<VgxDf#X)|}yZ#F}C_?yKgL34@7
zjHDg$*qcHW%=$mc4KRS$bb8H8-SfmftAlsM4c`zJ7Zz-mzw1MN7f0>>@j2pkoJ_;J
z(oclPwzQEfsy>v2-a65}ZI%!**uiJh-blRPvNh&(Aq8$7CP^KhohHtSh<9J#_LI<_
zEp^?iK!L2>o$=2)rU+&KkHnY44q}T=v%kU}J$RQfL^0hoMcC=-Sa&h^68De%c6ceQ
z2bNcZhhCOU5MucUg>p*zh~Li>Q)h1K!r*O{3zWKX!ewVcu}HuGp(8z>^FdS>!XpF>
zE|`oH!#f1~b2Wzv(uucTBKLKmS%3TPh~+Wj*h1H2$l56JRJC;WyQ&U6ZP+Qck9nL}
z_-8P@J~%;qqfe<Denp1D-IkfB+{cN82k*ZsElv@}g5GhqTgb4Rze;ZR)HvZB;O=%H
zafaBRc89y}1qo(U^m8wLnjoxF$AWK}&k^Fccqe>&wIO$$vp>FPl2HA0T5W=Po(Rs9
zAh`=^!zowKq<?p&h@I6(mue;#h^WKTW7oH9fmrvL&yB;=giANMt9E6HC_lWC!kwfE
z-rK0!CC)QMmXvwNsO}1p`!%hxu|)%>;vW79_L?RBn>$n+c6*J;{@jo^pr8SFIHoLZ
zlII9%D@h)nR61l1og459Q->6*Cx>N*{t{C`yCGr|J+c|Wi~kzc;FJbOxr5IFVOw!K
z)a5DzQrMJB#B|l*qL$LPTbxUT!X+&_MPnw6ed&C@I!zV4FQ$5udY1{QgQNG~a<d?_
zfAqOLR#mXoM7HXI6{0-yzMVTS8$S8m5NB~-1;jiby*(<oPSn|3Z}Ya~Kqu;q#>%QP
zBposBAFHLqfVbbR%W}AoNsN>g9jy#KWoKMc6zNgWbJhH<5-)0AcA9-4tPIN2@obTq
z4ESj9qFv4{J}gy1?#;zYz#a0{y@|$z6>FzlBh>}4eWu+g)m;f@rREw(I9RYCtWVRc
zUl2D5a11bTE5WONFM&{cHl%htyF}CoW69(Tb<;*gc#`?<gQpq?8b4-nll>`*bAQgY
z+dNW)d^-EG&L}Q?7Eo9eFD!uqg4#a!t|<cj&VaZa&W-;KTs}1wD~0xt>1m2_icl?-
zmHsr84?p$_$ft_RqGQYJ;%yHUAx2|Xv1*+k*DI`*yJO`r?@POiT#F(Uzn!QtC=kRU
zZD}J_VFi4fvWsuOmJ*oMdT3c+5XMZU(p&FP5&g7Y><iCV0){Odo!zHJ@m9(Y5A#@M
z+<qwKO}@J_?DkVhcz917eb;LSh5S|VxLLx(byF4SIqA-GcT5s(PX=!CKctQ=a~BSi
z_Nu}riSNtn-ZD7j?{OeGR1@cKPWL7fY9ODzI1|bshdB$Qwok8XW7Ei=_>admU?O?=
zKRRD|<lnsX>Y5uFKfWw6-*;LIjK-edUhPys9-k?#^#645H}kQ(V!b3#sF^=3dr%2O
zn7a>;dg<a3w%P{%4L=MYu;eJ6R7N^qW}h5eJ#6KSi8(&03)RtY2E#9Gc*!=7_T4-b
z++6RQZ&yKqs+YV+eK^%oykGW?;bRK6TnaxMQf>gl=~tfN6%ACf<Mmvj(?_jHUL#tM
z5mf%&`r33{6Q3Nt8`Q<GkBeo#{EW(`;LNa+;-apN&lm4DuQgDxw2g79>x?-B4L3-v
z=#lVTvV7P-JqnsUQjJmnMg@Jh4%Z{ABs@hl1e`F|!+On{jWMHvf4S?2G;=bhPBycV
z{^+2{;a3aQ9F~xpX*H<jL`Io_zK@YKGFD%i4Lvhu37VB2O*zJ7+<(&VNJgb59zJQh
zbUW7yMk~|*<P4B-@X4odTn|<8E$Lbc6U7?zs5hVP*hE6Ee-`I|dn@8+l}j&#;;dm$
zkmF0AS}nBrkKbvtwk-A>Zc9iju!d^p`NkM~O|%vKu>XORC{D@S@tn=Fh93VLp{+MI
z`kh*R#%!Dy@on^`rK8sHN}hkUxkwe8?)>m$EM~+5*YfNhid)0c&c*`MVr68z9>2V$
zbcWD<Qxz3jU<Eo}BAy%%74ZVkO-g7*JoQB6k=yIqRv^L8Bi@oCk36pW=_TYzDtmRr
z{-H;fkh9P6yX`euT)Tf`Q)}Kos$Ee5U6zO?L<!Ipt!hZ&BgZSZ_yg%dbV`eLZ|sH-
zj0L1k9Tmenjo;lqd}4xwPHkm^{{U|I9!S1EB7|P)Ti+_kvVxM8zwo!?0IzttUZ*|e
zNA`E`TxK4#0mDA7Bd6P`Q1`~;cNLWf?~Qt96kTP9@`Ab@(_I#jtoo(?LpdADAJmns
znP-R9rDsn)Cd}c;o~yeby=269S~ncM*g3%SOyI|>Z02y8@mUjt1|81pv3P#_%?{lH
zy_Pd1Gq4z?2^(lE685^>H$`r<gM8^Yx!uzg?h8;_tA0)q(;TsKPmS3@COj?T!W|RP
zJnbDNn%qw~x0i%*w6TH7xsZL*-NsNx5j-1M*hpw~y{=2Xzy@L~el~0B#$Yt$`?$nA
zmpa(Ik^hX?;LyVF(X$aoFzh6<m?+UgO^uF{sAOdWiivYHXPY4uw+Y&7UFxH1Um9JU
zm}7;1JW4A1CWa8a&3aWpZItRQ5+Gx=i4A_&x0j_nFaQyW)oXOT(^O_5rjPDqHV|JN
z^JwKZ0NDv&6(y@VYV-Lehr>~9&=!2~+51R+U^suCj@@j5n*C_I_v#uOd||X;QeUP(
z=9@5!B9>*UX?)_#qYv2Ou1_B4P#6WwVq_0W7OznG>&|@`4B&v5zQ-~~m-XO1%gQ#-
zE$h@JeX|2s4|2k#lScovF6n`&-Co}PgLKf!#`_@l5*LVHxft}4R}b>0^P1h%>7jn%
z%PWmWZlI8*Y?HEe;j;QW{=^^#*imw5>Vz^caOU=@cAM(Lf!aG(YE_J|z%KBLvce0g
zikm9FwCTWhk+@w#BFqq^!`l6JL$ShQu2dzQ(}9HY<Q;tHSs>_7@|4OfKeX|@cMnq0
z0oIRMLob(DVNc+(lxSf=uz1kc{P`ytj338bKNZIg{N4>y{H{W9dCBn}OX5a8no*cV
z3Mah&#{EI~g)s2t``yZOAcG$H>7KTKT(C3N>RXq#D9HH?lx`O!g9A^|_x0aA&=r#?
z`Lb3Fs>Or)cGi$!RsUf{;XE&RRfxxbiID(b!O$aur%2$&FH^zH!w+w`EWYU+mV&NX
zQH^g@66}D0Bswzzps_xfDDsnm&ZYx*ils=9Jvx}pa9$ABq!z1w)yTqWM$L9JArj~Y
zOLMxl2|?he>imQ;If&nt_}E;H1XpBVX-n9Pz`;m2wkz@q5c1q$;O9OP+)Go=Ahn9Z
zFIap0$5#;y^2C$QZ+MQdKwXw<gg89-q(7=$r3A+_UJ0HOC4=b4hrBu#lHjB|bcR<}
z1=h8H4y6Q;!99L_X-q^KV&?46L|j#cS9*$CQmtgzS}#M=V3GyR>-W`6SJWUwSF2IR
zLkFCkD$;A&<bc&Wg`p)t1E|Y-q_|Zbs8+bJ>4>O2j0-!lMz&}|;MsGB*x%@apypx}
z8%Y6{`nEq@CTqj$S;6t1TYA9qJg$7rP7#d1j@-T$Oxo}R_r#p*6lgmR*MIve0a_k!
z7PKM5t5f7Vl6m?d`26sj=qP1SQ;{?ORYe9aX-CnzUIXyHlWjbissfwWrO0L?I?&?c
zl-#Fl1lNRF!7o!4n3TU)kJ;%!X?Sz>Y??7}j+vQe-cW;li-o_EyL2G8wEIajuPJ18
zf2wUcst#9MKEyF->%dVp<>;bBGmz$73?iv&fWXLll7BN9RHk!7C|nj0H^x`Y_F4l-
zc17Vvwq%Gc;)z|3phD;7fcyYyO<3ePw2-{fSB4VOU7<jL+5o@k&>fl}cq#Qi2Qw{b
zr|DKovC{y#Dr_t5HK9DF@$)wU4QSzPKHGhr26U3f3^{z7V5-=?KeIp;F0Lj--lVgH
zGjq}YsrNPDr|yHdj?&7&QKfsi#Mu(K@0r((E~-PT-p`);GYY`9qLwNhX9+bK+uXY4
z)S=)@d24yQEHrR@d&c|F5;(#}lxVVQF#2iuoqx6@RGw}L<IlDP`+z7(j(;j()Gk|c
zqC*5Y4kq^GUa^GcNrQV6<;uWv@L6BR83CAo+Dp&7*AkBP2l97&D}nI9u&I^;57aGo
zPdAENf<_aE+!F>xI3WMTR>F}LB*gJcd>sugOMGlk%8&>B)}v*<XXs&D;j^^oAvDO|
ze^g1ySPrCL7WH4)@{cNV^^dWG01eVHj+?nm24;&X8XEqy)N5_-LyXS=PRT#`m?k6z
z2J24Vt05y)L9%<y`euN|505TwPZo!W##b_RjJ;ItbAr_Faw?n+;)_Yr69qd)tJsCD
zKd9CYL0zUp79be*B7<*L2wqQ={*<ZsKz$_X{&QN?0(|cWsk2WDfX6{ATCl@Qs?$f+
z-*yh>kQ{20d5o7I{9T_b^fF~pf7^*hNnJLBa}ZNQ-pdP`xiNtn+8NZc*xM1q?@Yn$
zXo78fCKr5sWG12QmP=&`nl74THig(OH<ewT?4ZjT`p;&mj7mOJWwUv^3B(+V*PlDg
z3gWF&J1lbEQ*RcoNB+KR3|}Ls_ii_1h8yh0_kH5)sZKAliwY)<z)ns|<e>{A*!ygX
za_jg(t^J~+d}*r@D81v}#a&1bZ|OubgGPQ)!yGo>GkItTAuBeyg;ty3L?`ol+|wTF
zyJs$gxlD$zaO#J1JvSX};T=Cdx6(&F_$N~_-`@cG_x8lKimXw+{4$2D{0FHO9eb6<
zTJ)i|p7nTP;0pEfbZgPw$q}lr*i)GXYkgqxYb^^9`9~cpc1Y@rouG~;e4Q^Y-QZD*
z?qyN#W$MS?k`g(|Y3hC6TYH{pQy_eQ(rm=GCF-{2A9erH%~DIM>E7JR(F2qEd_&#Z
zMXD?geTbT!qh7kjWO7th56){{7QYg`NUe}D{};A6PwgzU&yvp5h35Fsw)9hr)K4Rm
zF;)Ca)c*kh0RR6Cmv=nXZxqMvJ+k+n7ngglJ?}BfE=p8LLPU~?G>{?<B7RE9h*U(;
zK=FObmc5giRYvw+KmVTB`Rh67JfHX5P>IPml}Lg`TWt^R7whC_4;v_sAKD_5zDNuV
zeIdg20Pjyzd+X$<X@-q2pX`uvxCzy9b0QF2G8;!?Hps!d!XlNl6kvL6oa*f_0!U}l
zG^|-}lI``j4<#O>1l8*GG(CR;47~IT%hBE<=i-B(bCys+x;x+d=S&39c~kjf$9|j4
zuUXKmt3d-rDYV<QM^vC><n^!I>>Y9~|B(R0Hd+v0_%Funu`+0Rjc4{t?U56tf(0Ku
zqz9En_wL<(Jh<^NGZ1|!fQ662y3~geI>9+ypMZzG<K|^1E|hS?xxYX6GBZfz(%AVv
zRDzBbQeBcC6)c|b>h;TEg~v9&v>c0ya8Zgnt2d1rmRV;N)o2cYZ)-(iy{jUKAD&g(
zo2G%vmaTG58xF{R$;ju_uK=-}SrkT2bYQ{E<y%(52{SJ@>OP%S03(qFHNgdX_(|0z
zk_X%np{b*`v4VpvgIHI1%LsvzmBqnRJaBJxtKs?+9Q=tYvwxky46|E7IbTcofNc3x
z|EC!arr8UZ!gE={uzf&-vp@i7S=t)cnQ_p=M{O@T!ww|&Hja%(A&`<9NEH~Bhq8w^
z)T2lofGc$`#P~!(F|oR3uvH#*{bhRp+~)+%7ItS9GjV8lYTR(_m4~%pjUEb0ZrHQ7
zkdaB10Ba@&Er}g@IBsxVBQl8x5{LIX1sSB^r($6JL1P@eRzEsJZ_NkPho@3TA4o&X
zmGV%(LL5-+{yG0kMgVe)7o^i<WkERqWqRi!1#mquUO6uz1R1Mt4ME*<@Sz=}QD;{K
zizr6hw}v86U+|0F?<o%KT0V-`uqi={-%it~J7U0o!21=0mm*Z|{mN#s!h?I2QDfh-
zIMmRdKD=pwhva18TWL+okmbLE=rkoEGG0A#h+73zhoftTtO$VZq$JlyNr9@>tK--F
z2=G^FxOeFk5iag<OLC1!L!^Ra|B5LQmP>@&X%k3rYnd^;+E5m>b3-1iF_Yki+TQl~
ziYheS%@n)!LJp=<()$96NKifYRUV5_2mM=ja#Hu?;rpGDuaAhTAf{B^{hx*=w6dlg
zl{>5eg$yTe;KEcP=EPELJF_;>Y72d5iBbf`GW~0*@v3mNf68@kLkHZ50fjDUO2BmO
z&*tYdszB@a4m?)$U`Dm6x#iye{`Q>aZ=WE+VYS}H<v9ZoyY=I;nV~YAofuwfksv{q
zR5xeg1%SC}6Z5xa%CN&C6gkgDgn5+)ULzYrSa%}d&HSef6Q8BeSw*XW0#S%5K+p*8
zq?xZ6^eTfQb7NT1btT}MBRv(YGJ=9!W_-pKWsnY`w&oJY0oNp6?zgEij6a*Nm8rwS
zZX|iT`-u#=`}&MkWf{Xx=V#jUok}pomM0THw?BuwRSkxn#-LbmpJgCZ5n6A1{7@7W
zfd|kwtU0*f@40EItfK%aJx=w_k9Z-@OGPE5${3CWjMj&|k_TJm&7P>I2Vilc)k@`|
zF?=yE>j_zxg^jrnJW3gKAh){mi>PZ1m#%;8`K~Sly5vJ|qu95|_gmF#e0q%Fa9bKk
z`A7k2y-O-Dcaq%ZQWAXjoDsMkl>1J|l7Qh1VXlwQvM{F!O8UteL)enM^@_em3=(kc
zFW8&Mu%=5>S#uW+fp=5<l(v^J{60))H}Y=*Q#NEtik}0h?lcf@R}+BY8#U9?VQU!8
zs81t@KS1W{i|p?tUdS3YvW)iL!fr+ySkO$7;n-HLxaT=8h->0VSK8abc$-#2Yu626
zeq_pay6pfQU<wWWb9)b)z)ar7vl~GEd*6E3X%-Mk(5t*IM1gR5IkXeX`Vf}q_0=_#
z0rF+q-*w1RAeZ96$G!G?FuM~YoBNFhd`fym-YoB7R4h6T>UVX)JI<5h+968la>Mu3
z+w9j}{dUqZ9l%VEzEwTC|KFB!ZZ?MPVokUq=j=UgXql3wwys(wXR=D4^-kWwL~aV{
z*B{b`mqUxMCOQ_#H!V(gYQ5XWoH`#$JxSC8oBSznk<lr#(Uvq@Z2J}_Dq}A9{EsHY
z@owH$7ak=?q}D{6GH+o<n_e%k8fn5<{oUMRpI&l9T<p(lXE!kk%=}PerUo1jwEV|y
zTSsoV>@mVRxPiS(t{XI`(}1{+x-qZ(1hP&$lZ95q2If8+T9@yq4&6$Q{ied-unet>
zSLSUuFp0%GL!|?1@Yty^i_4`Av%;cG4jtLRQm=|%GO$sDY}?5n7Op=r|M!(*1=lw)
zk4HC^*=tonP>D;)%6S-jJ*^sR(7S<IbY8cjH&O*+!md<(%_yck%X;m%$0o-1+vqd>
zHxh(rvyRMePhk1;EX)xyTbLOsAbi!B1kVTs2HI>>SZ3?j8Y%v5EPB*4prU~YSNqqw
zC>Un3fHiMFdh!l-D*t%b;p0U3#hjL%v^s}P!SnGiDZ7|eM8e^eQ34>3?8UE_7ckR4
z<wyMd6sS=zWh><h0p#zttbLhV#NwhQ?z!zzAaiNf9BXC*=y{u^`UEdyUHQ~1cv>pN
zrNCq0Zmt5OnO`L<*jBO8PVvWbiqvSP_-|I`ZDmNIk{^gFTf^o&OsuQ}Xix>?bkD_V
zJa8~wc6boBfl;zvEE^x9MLJuii7RY)pg5DBnQ(Rsqh0DKi4LGgH!o-jT{@!#-)|Uy
z3h~;(sOuuTC5Vh@ZL@7ku}l#Xh;*x(Nqd+Qx-qyY#Ed9-udY25Rs<fGLw48KDbP`&
zBf<Y^vZ9Bv4EH#q6+p%7BZ-Afg*e^^T;00Mj^d2}w%PCCAnF_Ev#d;Nbonyf$4?9#
zsF}X_l;}+yh#c=`){&w`vX7*+j4yB^9=7Gvb__UJkvFp3sG&p42EMku3tXrbk7@E{
z$b)cPZkt*h1G0Tv2;Y-=5P!&(f7n5JC^5~s>leX<7+3H9{pZDpzGSX4&uq%UcJY1H
zlbI~2!g+bj(p3P}0C#@$H#ul7NF1u4XG87b&V4r`h0ua-f9+t39C#f~$#g0^fIg1J
zUfJytL6<i~?`AxdgDwx{8&CN;k$qX$RybZ9S^hbuzLq2hmv%k3h5qA0-l3g$M586p
z!U-HMzCsQfex9xFBk~|=pMy!qw<QtR{7iTOy*xZ?M<282d67TmlU>pK(g=T6mqIak
zKW_{<9hp1$k-Jz%+gE}tYRB&W7r}`GEzy_f$bEvyt~dGp&3|&}thhFJ(-00as_kpW
z=tNL}<wRc~!l76z{N4O<1vqCJqS}8#44J-So|nr~M2^j+dh&`&P-a(M89phFRLi5&
z)no9;y{G?{?`J$nnPoljQ<X$(iiu~ouBsrRy>YXP@hWhim32`uRtnKZ_@0w|OF;Vm
zvJ!bi1knHD;r?=28U^2ap?*J}h`e5xNB)r{fdT_*BlD~*ioJ2K+}f3dnzS-*#U-f1
zZE&88ZI?p|4Y>*BoT}*i(nuIRQ5_yH5MKu9<B+2*Uygc;D!O_0_MY3i2GD+tel+_`
z0SQfS7#7Z{qSEAg{>f1-2>TlCZa1QczS^#KCDE!OtwP$y<S8APx}JbB(BaW_aqGH)
z4pnsfvz{7(LLaW5^gO(@gGU3gw%1kcR8iKux$t8=WXKSvDI`@WBeOT62Sx6XP$unm
zsoFz;9*!Ba89f!W<(yhccaDgD)A^HpuN#8U<f|pzWfkOq$+hklB>@e!edKXEVgwrA
z>NGD;s2~z=0HZ>U658XU^fRF_1{qCd%>AD-I^=KG9H@aq-#<BY`$ro?dw;ppo|-ah
zE6N>w93q3hQ!zW#ju}Iqr^KyzA|5$#@Oz1Wl0ZMA`pXx&P2ihBxT@uhA`17vlG7<B
zj9C1OAL<L4fY@LzTbZ8%YQ7&C-(k*!{ylI{VBR(c!HWxjCTrzU-E`KOM|d_AD7Ky?
zS8fa?hw8g8QOcq7-3<;32dUA}#e!*SkNtl2^Iiq=GAM%2py~bi5+-X+lh3|s1aBUY
zdRfe+5O1;fWB%+m>~_Ajg?fY$q*N8GBwUa{er!DQ?JC3M{#WDe_o(*sm&v)>R8tHI
zS~gU2jxCUd#PZy5VTM3?qouLDR0t6a!?#UrH^|cBWm_6s08Ne0B`<jMqlWTv+qAM>
zGTpdS;nGzAt{@64AsZg_IHrfDMUN7`ByHTRS|WqWUAE-Gi=2qdCtIiM5*1MB(~1r3
z7=VuPwIdAi?C4U64rjS2HFN}WV6q$rkeDH`#aPCKCjP91QF>AXvxYfo6|WCNoGIbI
zj?*D=Yi4zl2Q_eCoupK^(}M^i!-rrODr8hf{ZgAi4H?$P!S`?Lf^uBW@P~{Y3|H8l
z-O@(|f$khxAzyTWCZw{K(P#~e`IY=)FMtY!^z;mZwzOgFu}Wa;;|1))7Tb*?dMZe&
zpbuU&(uU9~mz^=1zt}yzC?_eM5=4y}PI|^`!KwS7H4w!x7SPs}nQ2G~cdkZ<pPbNy
z!D}8JzN0PJ(^uz$yp}1T%J4r$M?+0Gqxj)aKy@<qweaA7v0o_QL3_bRmMjhE6707g
zzFb3Y*1NaJ{EPzdLiw!13>skP`)Z}8rknh<#OpBgV+vTL)O~9lpbim>eaFJmhsg|;
z6?~F86z~%2oy<qoK)0ygy3T8y{4ulSYiK70bhy>8Z9Awz*oRtk(XPMbnS#A)HVI1L
zE)cWPY*U3hT*xqeeU|*+I&nAc0VRz6`Dpm_uqsIMI^f0^=gE`&Z8dY;R1ibyu-ni|
zg8%%Y*gLxy$-3<9$sOfXK;q9$+_EP@-;lKOR^c-Fvk*B}{Vp}68W<Iw86m=*HxifL
zM6Qyb*bv?*UZw$uiPiK~KO$KCiVrG1y-vROD(@CWI4#ty2n8c5BCz8!CejQy$yx88
zm*^JJf%N&RM|H^r!0TEv+)~>nH;h$%e8t27+~2;-OQ;ioOkfYP)88e7m{p_W14dX_
z|NNxkwF*od-|t=|P{7nAY4@WBGt}Id9t&7hhS`z<h4p>!UHh?n%9EWH9;7eyJvUK?
z)~SxzC-<qq`cO%~A3r-BKl<08CIb&5roQ_mOARhmW#mV14#4P$ApLE6Jp64xW@utS
z3pv&LoOj1KV49;qB|bz6WIeCEHUCBjqOJ8U?0Q^aO!e|a*P0^m&-i(cx-o#)Kq!M&
zF*mHVYMZ#-R)mlQ#c$>~CJ^cUsVZZ|3r~l0j3Px8;dGTqQY$wLuq?eXXJq7uE1PNY
zRkaGxuMtr?j$?!B)WU<@GXn6OiS^auZ3Q^3ZYN8paR3^Atz9~^CIoF2I9pY_eU2}5
z<M#IBfRQ^9?7d2&@LhTS1ih{TG*F(vO?>BsVp;X`jHcosaihu6VZYAz;6<_~i5s5%
zy_musD*=|et8}3!_IcpfnP_T^2ND)_rpl)!p#rZ`YLlb@y%%P0S9$XRYpe2+PcG8%
zRU>6hdP4!~zkf9^(hvXwo<N}aD+BqL>K?R4D#E)*YRy?vLJ+|x{iP*R4&3rt&SV-Y
zfx+S7#8ILMbUzhjl~cumvQp@Aa}pkm*OJqjT*Y8%ra9!x%)Ym$oboSqR)z~6Cme@*
z#Nke8F>^}368!f*pK-EY1^AzQZTrG138t|X9n;>*ARJxwTBm{l7sW)Rgl(iCLBDmr
zmyH0DvJ7%!<wP(HHIS1^m4;e&a|`=^0xWJ>(mRckVB~kk#Nw<BY#FG`y-gy5@kVc5
z3Q-M2G8G2mKn~W7Mk6!SN#Oq~?K(@YI;aOXmUqX<1FPAo7|nMiIOQ8@IR~0>(%F9|
zs2K<M_^M6ycSvATZM;m})Pf0C3uEEU{dYQwXPV?vg_R%F$7O%$0PoX}Z}aGt;PwHB
zD|s^{C}OadyYyNQMqDSw@@AFb7}39u7(s%3;sYayHh{Djboz~1cqkk&HP>k;!l5&^
z<v~gS0yN8e@uJE=zI6m0A0)uU(c28Gw1%KEx28#XN*Q{7|M3hzp#uJqT+Q_LhEV+L
zUiLv7W%ym-eCFB%C3uIkdbN7d2(l#y6;=1}uq0UP(&>i-uU~HxA1@jK=iquqj3*ux
zMTg&#q-DX5SDc(@V+>waMZ=6SO7MP1)}p#j66{!)9+>avro<<WWx60m$X6&m_-0)c
z4kgQcPJd<$4lIr)Oo|F%dB#U7pqL-NAKP{PeBT)Ev=sYreUgVqaVAG)W;mhB`1ACF
z)4o?mvZN17$N^Jf$Fa&VW{3^bt-8XypVz4i;kqF*pk^}96m*jc-rs+yn)THPcpaj@
zovD!mC1)G)xDPAjaA6LeR68T^*$X@t!zl@tT9xmkh`-5aHR(2Xej9@6uOYt=9^&8?
zi!H2Od54jIe~5YQV+f@lGlxGv6andfFD^**j$l^46}Dvy0Hvqhx0C_|!Qfm+PsP_+
z>{(^jt%tz?Zar+1q$obf@Ixi>xFt+uGrb~bhYZ`>OH(Bc+^|V+-S5M@ioMQolRw8n
z1{d94uLs7Qu)>%fCiiCz`}XAROpT%e$h=b+bRK1g8tpN?n!a@`-=#S`##$eYFI<%g
ze9a7#?+PAyNN!+)M(l0$!Fuqy#hBl=n;s(LaIwbI>sY|EAN{0Px^OMevC!Ou23+WR
z6;)5IW1mxB`1cO$fMV@lK&%ZVEW2-u9En-ORDN7x%n{dt=9g|k@=`nG<T-Zg`qWiS
z{3yGerl&SMYE>?7Gg>Ei$bJ>5NLj(mylkK1K4^iu_qFWlg(b2;WbQrc<Ynx5mEV{E
zy%xv?S>~RToF`icih2A_U&6d`$s2htn$XAmIa)L3FIh{G{01vo#9k-fS$R;d0T0;>
zE2&?Mk~bx-@P&UDu;MhOcNfJq;Af_EuJNyaau^lM+=9je<|Ax!n<H8s8f?`CPUUxy
z9nSlixxSdkZoR0^)?QYFXW9y|EmBLCRuQYKBg|uy?>UbYyQ@K_cjDiB{_n}|&-D{r
z(H!O?e5&8(rz+gYjXC-+C<BXY=1b9ZpTh*MNzMGVRRxb1rLj4d7`ExoP3><zhn?I`
zPe0X6g2yqOR7ju!Q;19m=e{wAWn`x<MjR$VyGuK-U{4!HgI~1dnxDhYX<(#7`*(Rw
z-K5CZyc;{0TasI0H;)asDJ0%MNrcsAjjSsneb_GRu;1~{d90`E^@!FO0jPNfS9-4v
zVi~6scvXTIFgd*+2lXx!fZM*gs7_@BlauF@o6}#!wxT~OL{Jleu{XV!Pk0nNYdKUA
zwZCr%MT4A|RaD^YA*w<)rg5wz`0<jy?lLxLR&hefMHzx{#Z|KulbD_`J;&F;6-*`L
z$eYAOJoGBZxTMqn#g2|x%dz*aVrx6^Dg;}VASj?~r9*ledn!|JQS7;nUE5uWeb1o;
zVgJ~Uinz>T5etc($+DZ69>vh%qbC*N?uDJZ4CQkeqtUG)!oGJ?Q0rLkyi|Z2OKkxu
zk_*_)`2i&#*u~fk)Aq_Xad0~69h+|0BKCZ&?BJL!1uB1*cOlIV2UotwcTcY^VJy8l
z?u9QXQGv$!vTq;c!R8+AhFjbUc3H{su|GdGlAvo)J1Qg(ls?GyvDF&pLp8>7s+a~P
z4rdfcN6UfKFOjL&gbgg{U1QEdFdg!e35s~XEeoZ8_Rc98ZedlT?eSvX3`i(7VOaU9
zEC~CbxxW&z&y5_Ob@*5&)M#3&esfC(?z6wWd2nkFvx^alZv4Z7LirtqweHG*O%@?y
z+<_8#pK|cw4r516qgCg`g=JvHzWIWE2NhbgV39CZ<UsKHote}ZX-N80J7u=-`OiGO
zTW*(eqEZ`y_Ol++FmPe+*)d%@B$p;{=X;48DO_>+OBR-f<J=h>M^zY*WJ~EwQyX3+
z@H~CqV?+u@-<(c!KgNXO^l6K(IP)V>LuQ@cPf|cH(ylX`$AU!ub2D;F5kz4ps+}p*
zr6BBEduFsgJNo>UvB{fN1a-+Bb+1a50<nw96u0O&Q1N@)2k$<Kp()-|cODf>!E=h>
z#`H&=h*!dLdd*4#as9R!_M4Of*=YBb$9mj|J&P?qrC$<p@0F;@=u3loUDe6Y?7WCS
z`-N`pz87~iJAG6wlLj8r4o-`iAFasCup2qZqUj-e=LL5e7!0la`-dQiMrDnPn?N3k
zQYYlzH<1O~TTk-1B81Tt`}>nkCJIQ9rki%-j2v{&3WaL#iK1Xerz8ERm5?y^7thh}
z^6)w}u6U$F9MK~VfBR@<B%R1E=Mta*azo#qx9LeD#a&0Q8Ak%@UODwM^12dGF!*AZ
zOQeuPTF`N~OGNa2HScG~s4~!r2JxgC%b@zMFpGc?5^_k94aoXQfNa%=*FXQ1MGRIS
z!UTO)k(WnTBX=+fSWjtt-3ydQ{(atD_sD8UNhz|;*+LB(gbklEuqdGQRh>uIN7ay%
zVVq}`jRpiP2htr&QbgZ2?a$9zsH1e(h<}T>wZLs?^i~V~zR#PMomcTvM-liGe#f6W
zaOw8oh5N^pQ9q0SpreX9ih9AWwrZ#kx#l?%Jw7T(`fc!W`lo6rx+%di=?xjqnYBN8
zCP6?!b42dh=c<UeK%+c(7a%)QckshG0xA=DWT0<KLNjJIEd>XRz_B;vjD0u(N&I~5
zgij%$Xhb%8zVE+Bn+#8%_939EsW0nH4tNyx>6dXyl`&k)eOlWgOF$ZaiCtR4IK(te
z=CQFifhp;ma^hYp$V!{gz41vJJ>@cKwJ9=zPuaCq)_7%v$-JSpJ0XtfuDbm`_tOLf
z2!rFouawY<Q1dLK6Z}Xxz|c3j#RQ7Zmi{A6D4?DM&w%hZ2heo8Zhc^i34H%f9ra;V
z9&H{wJL^zDjn>O#DtAmwz+XV?*nz*Ys5AWRE>z56yw9S>b32Ver1aA4$`5H2cVV5_
z{k4fqlM<?b{irb<PIrD0moJGf6diE77P~|)FS9fZuQmcU0wq6dk~p$ICz9x}wnq+X
z_pAv}HG)slKP_t|MbHU$^_s8(8VG&a-S;WO5EwspJubEoKxEw~+hjooz^Cd+c^xo>
zbafkZySF^(-EMd?A%qDAMlSm$-T}CrWUhYKh7$!w=1(+JvcTtM>Q_VCWU#96_qM#q
zhE|6?jC;pepw`r)P;lRi7Z1OwRI6k_jzRMHAS+f_ILBfl#$*8Xp)+lLsnkg0f>pHu
zS3s!0iW4ggq-fM<Na+K#O`Fq9?_jgX>TQk@_q`@nwrJZ-4=84`uz&YgFeY<c&+}0h
zi0`rd>=B|17a6;2SJ-B-x0mfADWh0`^N*Jq<p&+uc%vm<tu}y#Q?Kth%dx-}`+E1y
zHElStMEU7(*as~9nF0<vm?1FxRnbEeZSd}mY&!4XN^ZL@OBMc@88X^%M5bgdXgNsC
z@0=JRH;0+4wD>T?Vot-Ufn`mw7PdQMnlVLokd%KzbY}(|SzVrc4w_JIKlt~G$pZPs
zPkK7HeXg7MMdg``G=Pp?_LkPjGI>i}@{$5#h9!otsgo)i;L4QADyp$g)_nRiCtaQe
z=GA7bSaQ^1vrF>i2iq<3jl3Faw=xz8{a_dNS4<szllhn~8t#(qS&UN}f>;5kc2&$R
zLk$K8j3R$VQ^4SnhAmnbHsC93ZuXH?gL^+5iZ>@H;o{7gpiUq=EEUm-(G;n|H!3A>
zcc6x+-FTxPjt3yMI9XlCSQYfV@ufS-G!PT5<3i%$fcG5aZd@M;Ci}Fl9oA_flr_+t
zagqbfSY=zcgGdmS7w_}gg&x+0B>IHfIf2pnV*RuL3A{GCgk(AypfRy8%(90I%H^Hh
z$(2NqE*Vz1e3A(m-q*d4S>p!Re;-S21BkGGF#4165;G`laEts=<ppB1s8pN+5$qp5
zUF6SUg|ZSK2k#g@$acy;eDf~>lG;Ywj$CGk6Uh%MrD+8q_-}T6@jC)=QgtPB6&`?A
z>JSa#R6)3FBXwaioB)p9d|X2xIe=rluSxruFf4sol$kn301wys0s0nBm@yTz(ohry
zno4>1d@=!^sLx$k+2VpYY7JrF6bE|+d=wA}AXIWccTt}Qp2{(8#)wIPi)2Y;Kb`=7
zmz+OIC-H(P@A*&zeM#uqJipbaO@MM=<Lppcez2y$*O%ul1%FO&)|VY8z?(pwbMGGt
zfKiuY{>PWn5P0lGqwsA4T=Cx<<x>)ZheyifvgTyq0`JzBib?`>oUbZ=J}L}qd5o)D
zMsi>$@aX7e0V33WiuK7Y5(NvM*XzD%@*sC=DTzIb2r9zA2bL_w;ZkeN?(=;v*`f~=
zb!8@j#a?H4mYD=#-Uc}bjw?bskzau^j|7(zG<&+OCE@C;CJMTjO5nZYS#|oHDl}1T
zxrUsS0;}#T@>j?4Fp6@X85yVnyLGxtyO%UHSasvXnN$Gc*UV-}>cFNxXmI1I41CL3
za%-U>z^d*+(;{OH_#XfO|Njh^cR1E>6vpkHy|>riuf4su9idQKRzpZ4QK6-bii9Xh
zi)@OD$S>b-N-{!85|yGdvdO6U`S-cbxvulv&v`!QKFuqpV_tDe*yhY3>wkcXv@6c3
zod=CTfAtEjI8hm4b5_QJ)l`IZ#%$KFG)95%LzdsiRUlgA(zv0Y3bn*y>J}DL*d%R_
z+wP+ZFAmC9-j7r;4ovnd2AaWdzvIqZifV{Vt=N9Jl!~eFo12w7%n@d4RF=}FhUGw_
zh|86VVLBK0Te_BzP}^~p=AsVk2{DnjGurU&3Z-(Kr(xyZtX_1kI%GJFY?8UPP(^n%
ze$!syaZfo__?0@e`c%U&J7}Q5@{%3%9B?;h#eY+sIwXZevrn6<LFe9hN<yd=JUiz0
za>l5`{@L!C%L~ewHVHeB)nx_R!uS4ZR(0IF_d+Z-O%Wp*$qN$F))-v+8XCD*4Z>#D
z#;X$YNKv{lsOf5r>GV4Z#Tlx&eV9RZLy0VE%y3tJuQg8454~Nvp@M3W*IKu)OM<W+
zJ{7df8qF4d8;28=vC=Sb%vwzpH;+^>JFd6Jy}LXgBRrKbCA6woEi4GHpsiuK64vMu
zNU0tcP{bb2_7?-8yx^aGG?Vw)3bC=*Zuz~G$LDx0ZMPT>3`ABaoXfC+*OP<B@evd_
zyc(R%Wn{+W$Kb+Uu)-?^hC}WOa^Syx*Tf^74waop3V#m)+57v)e^klf{38Qbhr>&>
z^%vI7m&O5Iit9P|m`H(s%<1Xi#aY^l{rLkY<N*JdpMDSZiX-{ut97RYCTPkpZuHSb
z(=e`AKb4RpimeL%h0YN_X=5?b^Su?8XyqHu?1>YGG9&LvsUP2HUuvndn@22A<1tdq
zo+${P;<Sz5ga&BFTR)zyQ?S5089Q&4c7FJbI0(N8{X~1J%XoKuk2%D;)TTF3`7q|q
zH95ogiMBhL-zU1z43Ud$6;~s9U{_poPvYihnzt?G=c7qeJPmuy(EEW49D)x%O@0`l
z8KkhiZ!|Z>;bS*TcoI2qG%|2#;NLe|*E4ECO^OLxm0KD8j<aFq@pAV-&Uf17^M(uY
z-;FWCdu;QyM=aP_-M2JweV9f&xn5Ah${4niS9AQ;nQ`oequ1n*G1_GX-%Y-Ej4;}7
z{ywyy5sGQWlL4WVw7|HO8Y31XEcMB@$3ADkMxVTvYnjtDufM)Y=R*zgL^-N4yPqEa
zM2K##3$wKDZQ~tgpA7KV&YPJ|fgX7?p>mfm&(r)Jv^N`XG(h&8#L@Lv=)fo~{Fwj2
z0<B?*)$u^1KHevPG}%j~LxcZ9+_fJ|w2Cd6cVE%;(YIGZ*80mTtwDn2y_Viz+Kou3
zK<j!vY(IUrVO!oR%{e|it~`5%7R5RH<t_AZEH(6tQt>KHGBRt~J(UitVHLwin{;up
z>P>Ro_$p0+c_=Jzh#oh0wmIp$>*9e=cq_dT9c=r>|KvL}!b|(C7VlRb9Ek68j?AD#
zn?+B-Vha;I?reM@7NLXCyvgRP-1OK|>K7Whn+2+Vu|@uzIxs5hR5i(`hyI1Lk=nv+
zNONn9<t?PbuY==s%r*wF-1yJ>&<Hyuk6+qPbD(11?Y)OORTxpxVt1qN3nx5-n{8}9
zXd_@~&(q(+Ot6=n4|?%;9e!5$$qlJ%V_7$1a6z6K8lD#MrW9V#IW4%)oYz9YxuP~j
zHx`_3O?h?Ln-A_SWjfNcn&|4M-z<8Y6~@hX8FU`-qvK7{4f8-v6bl+3DdA_wOI!DS
zg%m-Y+28rrc~k@6FZ+M~UBZE7jn~Pdl|p!QC4lo(v<8ZuTS7d7xo~uMCS8lK2u^&{
z`)ww!fguHJs|}vqh^gweU!saZN!o8&qg5TxtR**WFye(-*@}Owk_0qOy>;v^se`hU
z@;z}UANYOVRvX$#!RT`BU`wDnsIKhR?$`KnK8NG__e2?RH*0I{+M$mAbWF?62;h3V
zhc(+DSuA!bn)3yy<BBkwrgwl4e!p7ZrsP0@2CJ5_d%8OO=+ZyBEeqq3_z^L+B6++j
zOE2dhP)D&}Bq>xTivHZ4ySGaz!ad9*BY(37iY{DQ7j{A%6YqaBndK|t!qQ;w(3}Q7
zOeJ|#ACv_3gz_6d3l+Te>1<tWT+=P{v~}JoX(+lJp3wZJiW;}Oyl$_x@Z-;)pXpm=
zk$b^9H!DRQZojmz8nIDP{`pvP#u{*(uS@FxGSft$sanyd7AmF_3sluBDA;5F?`7Io
zEri&{$ZWc=gM{mR?IXYBQLsybKhl(nEukF;SZj4*t);4WhN=kK-nTz<=cqU*#Ox9>
ztOo|Y4$tBvO8DoI@|rnI2Z!Dqo`Hn{KBR7QV}7Cxo6x%%mn3yD6&fs8P-Teg8Zmp-
z=2YO!iv6uox>zk<TzuhT3_1qa{&FcbaI)n$>@Cy<UG5f{6RRdrt{Ix&tfda|Gt&z_
zH*_&H)XIwnGaS3~Tx74527YtabzrM57WZ6@QBJaeAV0>rziD7<{NWGnP8}rc$aigX
zp<%kCE|w`m6QiQ4Q~qo^I5QcR?Q;V7A?(D-)usup-2O^eMk<8HR=v+yTj6+WzT}-D
zO~mRw>(x!w#FvElCkH02U>BF}9Q{NSMe<*~sv6XgIw17%!bxki-1t@c-B}Y@w#tpD
zQHIIrj`5)}YgEb|^cuUN0gL{K`<GJ`@F%+A$RPt8v^~C;sQo}4*MuKL?AtAezV;XI
z)OOlns#vV<YN{H-y_Nrdxgm*PSBB@l``93^#pC!hD^=9-Zh7#sTNs^@<kGy24Lax9
zoP9c!QDPi%pgDyPFpTuC<hFtTR%_-Y8znR~bnpb#v!g+A?)T(#Yus;P{Af_5faFS}
z3$OF&A<6VdCo|9*2XyaTxXmJurx%N~uil!c$^U#%qEBxPS?LgxIY16v*W_8a-wn|&
z7CrXsPO}0}l3Ce{+cLnLlys|r$F!qr%D>)9S>YXjW%1KgN!W4q(EJCxiFSQv!Ja~3
z_DNJpet{UyxW8;n+W4I~3C5Bkoi+Ve0u-x<g|R<*xn`p37qR--d`s`z96ae<RrPy^
zAar<aDQxeih*Ienk2<bc;_`Z$+Qn5qaPe2)rfi%co?L$w@wLVR6+ey-$lc??!-$vH
zYUyW*&ll!TRev>yBwOK*$Im#Cc}u5+Pkfdz$tq?@=QD?Af4FObAsgh<JL9$!GsKW(
z?m+l@GdRxmG;U^N#)5|IT?zgf;-Yd`jz)qhm`r;2=<2M^or*V)zG_SpPeQHlM75Z}
zB3hM4)pM0Lcb2bXTw#h3Q4g176EeZQPQ`=tUzTa#Zp$)F2u%>2kt$ct_#0!2e`Q1a
z<Zs#*O5KUNo-rbbgSI2H&Ilnn4&66nW@)Q;ojmh$M~HC?$1BsqM%ZL1GCLDFMRRD(
ziEoYjNmy~Ud~-c&hyi1_w66RyT0+;?TKRL|i48Aw8iM-`aHQS4h~)lByEL1=V)Jm2
z5NFVgS!Zv6#S1NsEc}DCDI(QRmE#)`89$V{`cNO6Z1?Z-G5JD!6MXPVSIPiEae1I2
zprjA$DyfK{roA+!_I$_Gv!4k*mOI+gIeOT){(X8N`#V}wQ;yhzZ9mcd{!#g|kRD7f
zUzAPb>!2;_SYLJX{YV5^hHE8U)`e>8p1EdP6D_D@qDHOb0|9~kvUdb^ae3QPT2&ZH
zvoO(Ryp-BQR4p%gYhBYpLxbm_#?m9&=y*l7->vsVlCN76znl&f+7A3$qRXe5nu|JS
zEp!tn9+pn(mr+rpRZ#IE{V>f^M*UAjW;dbUZQOT!jayTlvgeCkbBH!m>8{(6-Gq0h
z@s+}>+Mv4FYf5UC6ZWMCUpTGBFCEfWTTg0X`@cS~kmxERwYt;WWTu;lDLu*lU_uiw
zuXMc#{9Z@gt@$w1bKyNP{QTp&rxZ=Bh&NO{|4R}<&YE9oK0SmhNq^1OO9Rf4&rI)+
zJ|~{<DsrG5_&~gLNV-qCt_~?jB6v&7OM?2c-@&J<m*A<|S)>0&4c*6<G(wA-397+#
z^`L1VkrH;1d%KDn1e+e7>`ZMVen+J)_OA33rxQeuhaOP{>-r;1cT+luya$hS1ev}N
zVW+>)wl}NbPg^vbo97!MQ%2{OMBxCT+h{GmB&!0I^%e7XmfsRw6=p17roIx&7AO4l
zPAKC=$~uPV+IK|OnOJqE-GfB&QmM$qCnX$=@Ax5=^`5w#`SbCEe?!Fm%tTSXHI9Tk
z6wfbQ|3KVsTqls;^n;MRy450~Oc4=HdJoE5J`&rTy;9#kA11WS1aeHo6_Is1$l5^d
z6S1weLEU&^lu)r&>kvy;z<e>-$H*^)RjT%HrGRllH=k#dD1!oWc6og6a{5Z7Bo7yT
z;F=;<YkhyJ9+yW0pGDqS&o`n`cZvJmg=u1R-yS1}WeSe$bntzZG(@;qd^qN*GfOZY
zY}*%doPtoQ!1td0KZtqeFsnSKc_Nwq%gjv%3Vyt}-MtVsOeiyX7RRtJ5dVAzDu<Hg
zaJsroKCXV05V`BRUEOYpxXO5kccX+Hu0#ht+GjaVXl!~Sc;)FIg6FP()<U@~Jmr_9
z1nH)Tq^37l?4wo)^ZmPCGuX-E&Gp?zvGLPHU$B}jLC}#a#PW>oGZ_d*&bCGA%@VRt
zem#^wz(8KnYxzxOkijT*rYnehp4jLS!DnsHL|WKaghaSV!*58?)<9x`Xx*R_L+`;t
z1~P3-AIXyf)A7HfHoi*)6k?;BuCkGPqYSs+Ws$;Li}C+14*Vgu4Sk@T7Uv}Q)r5|&
z9Fas_+f+bd{tDqWRy1(;>pIeF>d{!yZwZXO_SyIIBOMvX_99j`nwLCwhNrJKQ37`t
zSb}1b8OV#h&7Mmd{G^gii)WLD1R}Mr3=Rh~k>z29%7@npl0kjVuUCh~A#XW#?bitw
z@=2Mt(03VOGLE{z-H8;(*WC9+Q4<^4^10KbFHn>W*(|Ah;ITL!{^P!#=gLV|9@*E(
zFfLAVN^SY5|4tnD=jpPaiE@+Y+agprE2YS`gh9IsDG8is+-D|vg_m?!^)~&_OO||e
z#;MXbM*@tNmumlW;3wt7T{v`@DWul#NBfWNkc80ecE>~oLGrSS++<RhJeg2)QblI3
z6e=#9Jp535tv>lWlde~a<d^1~aurR|xMj7=$o_yR>Bju-g4lOua<J0**qoCrb_rEp
z``j;1cI|l|FQBYOQh59Wm=DR}-sFB-*jXuZG?qgsJxPP?6E^+&V}Jsi`tAA=R9Vu#
zESqP5OPicvxcBc|fdWR)3a#^gB1h7+j|(%tp_1QTbLn1bS3-1U?trq7Jo#y?CVy30
zm)vQ3|HxZ^RUA>-{y|4fkxXbRVvGvVBlTk+-j_V40oIp3obo@F$Y$!yVDn9VGBt8l
z{S+$|>yE1>TzaNLUf#{o9a(KazHrpz9T3sQGb>ikyjyBykIAhfpBsjx{Y$y@a|iTM
z!lZX_G*W}St{xD71V-dp<)a3sbVfLCxL3r(P>ZagHuCW&8<Coff4C=_Opqt!(i+pL
zP3n|4n+=B;kzIk^!E6uAaa3r5)#w_P{MD^@D!0dwEbobJ@+hETQ)mYNcLg2Nock(&
z{xbuz`O?uFDK=J^{+#x;^o-70U!p5oQ=hcf-YDB~%^JG{*WCyx)gkrGoO*SXb;;d@
zs)t@Q+Tc1xNzO4_hfJ^yEtR{VO&%(V97(OU1*f0@*C`hrQu1t}#YZPK($Q}*DK^*+
zuadoP#=oSJuU<{rj&v)K_h;RvHuTtGY`#2;or6juo7epJfHYa^wP|JBirt!DYo>3q
z)FL<cS`DS&6C^9|lVXBD?eL9azbRElgFJO2p6~rP7LtSYeDKNZcKBIXaiOwBm86Dm
z6Z|eWMvN!gMuaKbVf2iwSM+9OGNm}2mFLeWt-H<g(%cnW?7mQ>(%GRv9#s97xbrbR
z&Oc&KVw$&s?@+3Ux(kJrFI_S8a^*nY#g9!*PBsYJCbd=Qkqjviyjnc9mlyHJH|}@5
zWep3i=-0RDCCJ3S$@KoG{P?TCaQ57S6~ZZ1F)eArB%i?it;(H(2$#C!SMO;B%`3L{
z5(oK7@rB$V!e0m}8zcYL)dMA2%VV32){&o<SyOmdh49%W<okLmK-Upm^23OQOm-mb
zi|y9@q=A|0geMI?r{vyGSFaL&Y#(mMxC<lYK{NepUrRXD1o|x*&Jjl<)&(@02xEQo
zmcq#>3xpPY^4<JokjO5XIDLmx7}wUFbQ;Jr$L$N(JkRdUCC=D6(Td**p_8)FR<7R+
z?rusZmMfoW8rSu#(ryYt#Y$4aNzM%EN0)rF11D&FIR|YYhY6wO4PCuRxG73Xe}_a4
z&C{IgLSN-<5(0}fOZef}CJ4Hn!_YSThxW^$g2~ld2yQ~V`Xh8r@GhHZh%2Lmki?73
z>h(gf(~vavyKRga(MMh_ii|MYSiA1Wnm%QEn}zd)jWMw4)?(Ry=C!=5g#C3PxR$m!
zc4ipCUhQjWe;g}L^SxhuH6nz}bAdD0#f{)T#k$4n1Ur7LQ^;Ui(}#B?prNPG5MIox
zrSx8$;AWznc7G>~keP=)q2`9@y=%GSyvjPrrLiS`2@}E84rk544+aRi>fDnt!VQL%
zai3acQH*tn<bRAYfZH>ly*J%?vF&h8`};*vZ2$cvXI{wwyCuVWPE+~7?r|hmVn_^&
zGh>U(z4~DHzp;0Wmmf3rUl+EHh(nHImqN?b$G=U3EkeKf;TaP6-HuHX>+C#Q)wb(H
zyy(BmrLO|WO0QRog%r{~qv8zL{2tejoz`343xYp)GU-H`G)`$<s-O6)hvp7z-?Fv$
z3#jPTi&~b!a_R0()1UN^^D^Ic{byn1x~%6gd@2hoC2P&`W<5xc@H{Y>6T#TgX6fZb
zIV@j4EPv;j9y*D~We^dA(aTe1x4bCOX`#L8ZPbI9cDVecgE)fHy1Exl<Pob?eBoe^
z9*o=vxuX&!kow#^J6>7=0V4|E%op@<{j2A%`nQt!kJWm{pG^^swTEIUYxP@MU5K>Q
zkcLwjuZHuyA{?X-uFmb%2lw4e<IL$YU}1H*81_vGtOvUTjy}={;VWn55i5%qcCF_V
z+mt~O6R~s=GQex;M4Eu59G14t)Bd}!0-3D%k<mm0@P~}3E&r2)+LKk2%0yK#oiTWL
zmdg;o>Su;S2nyJn1}e{QR737<O6Pp8A!a4HlTV$Nhgf}j?mv2Ua4t1^RXG_!<gH5i
zsHFm8pPjFYzNU_WzSHH88H}+<$FD$iQ32_BdyabWYM`)h$0xsLV^E4*AE*>7qR7Wx
z@}HjuuDB?!MCO>_`9rt%f38ZXJXCaeM}h`^JW;wK9A%2GVU`K^A4>Sy_WC04aSaSN
z8+wpC%}^^dp3)txjNyz(t1p%sNbRXA^MN@6ZVdC-_bVd;M=s8{sUvs0$jd;A1-d@D
z1?1?f;PF-m7h@%L%sMf~bN#bGwkpY_9j=1H(sJKJ&T5#v$Z^uY)e@;CBY!`ntH6q6
zxa(u1ib03(ck0g3FmcCKUouk#0h*@z*LhX2W5X!-Zc%`8N6yszm<qZJI%{^-t@+Lg
z*YOEoz~8!U$<<s1HX+-`)SVTfGM{kv&NYB!^>MTMri|8m;vU9r@^Fs(CzbgEDA?TD
z)4p~u<866U40aR*t|O*`1^~}*e~yRrDWU4PoeV+9!i?^8hSfMwX74wvrLP2G6-PVr
zyfpIMl-wSS0nJ9-ZP`(Z@PF6d9r;)SI=*Ud5Bq`a^7e;u_Z1+++Mb^xC<ex>e^13d
z1BTqwHhk-qhowu)SEdqST&Zqf%D4{5%IiMN`%A%o;_rvgCj^mBEzRA30LWYM)ku?|
zpzrL~?A@37p?G4VH`xHlP;}m-Z7PTQT5a=?F<$)S`#1k%iiTfX1NlmK%0im`2~#~g
z4+?gun#~`eVX5=v*Q?AjkRaJ~q@Qr%zY~9Zs=ivnCzrjoe~%RUo`>E(Ho$=nhHrBl
z+$`~ueO(LldkGXoKVJQDm>uHrt9O!~TA+VPbV%M;9KKU@9_{<t*8T}C<Daqxgx@6o
zO`sP;>^)=SkUCZbs@nbfo@S0;^e2?x)QiA#XSa)^7b`{$LyMgMnt{CNmcx}Lj317F
z4xF@Qg~dgk2P}bRNMX0BXt*c@!HwseXM<Vc8$Z-o-)#!1g}j^mw*~QbASolJl@%Sl
zFKYkUnPT@D3Dc%_0W7k<sr>522Hok;13I-P_z-z#e7~3g%5>FB#>LsOe`;S?m9`0N
zB+DwdpW;W8rqaQk^c>Ld3?A(&Hpc9{M@#1_ALvHwdR}vJqFk;kw_Vv7AJv2${$Arl
z|A{Q)r>0!k5H)ywpx6i_AO3D(aNz@|()o%#=htCR>kdXMsu66TZ%yVB<-_&Y(dUa6
zxS{s=#b2d5Lnx0@H*H+zh4)YI>Ue8jeD+tl-r{74OHUuC@yznV>$THD(^}qBb;sQS
zUkng`(TlN=o)5*+IbH8o*7$9-xz8fX0Ke#T{w64{ou94=7M$ltS(=YZrl<juMxUyg
z`tX5ze(sULUjckgdK&-VQ+=HAxo6~G%7;7sA}i5?Liks}_na$8AHGM2LSJ(6<5W$H
z1rtpemU92qj)?0cnUsy!Kf@2v!ivGL<07Cdv21wWrH2^Gjo=(k0St`a>pl5e6qa>S
zieedh*!F|leWgeMBNK7k`*p?PbTB9OsFxmG;|hy{b_gO{`lFtBxdfi_ToF8>sRsoO
zdHF>dAuuJXQF6?s;MG|2zL!-Gtqr2tO-n-XqsrGOe3b@uTHRsOFI^m%5GbDcDU2}Q
zTEA`=SzLd@{k*DA7t438za@@}Kst*j*U&%?svD(sX5Q=KiN~XZr`Gy#GQTO%Q;7oA
z*Q?J~KI>xPdG*{q4RO>*cvrf~%A-}c=J4R0E*i5l3+jR;aMbBs`!_iSOx|BvdLX6;
zkrjmyj(SOK_I@C+NmUW$w;XQAx$2>9bGgMmiZmt){AoMZcpymdJPcmbfu*AJ-R3MA
z+%&&crw(N_HauDl{-uYye};<JQe>gCGtJV;Q3bMsH#vg0>SK3Lg3OVva`;l+{vmmT
zD&9*vK9hQ{kFfHI0c%AHa*Au{#jMp(+#p>s6KH_eh~lS8zbQCa#F!VPtd7PXysAq)
zhDfj%<{oa6$7oN!-=2AO*p$$FylgQ<t`D_-_^JYSIBYeI%GZGC+1jS<Sw{F-r<|_5
zM-fZHo{NK2O?=vvsLFKI7`My0&N(P4VGBwQkEd!vNrL%<`(6_;?yAeVxwhYr$Mt8s
z5}L3ZEQ(?BHpPaCo_^<eWr$IBDCSgaB7j!p%;9YYj!-E!FEJGq{8>KzBwQ0I@*YXo
ze9dusu~+Hm8qd3mzffJLH4tTdEO?`@1<VeoZCk&fg12-G+az=~Fdc4Q5#VWwkpjOz
zj;5**%9``FH&RE#s>MY{8Vv^?%{gxMQic4@MaLj!H3Vm#t$)f6a6Q)@FWjjL=egq8
z$UGIOJ%1&>BLHwt-7ve$NEI7DTU_xISBA97o=U@NfVJt2?Y&7AFmTAs--%E}e97$t
z<Q(uW$b03#coi6iYA{}UDv#mXtewmhE70%d8?O1I4EOx|B1Lo*NLfwu)>&Ag>`b|G
z>1JgVsFXh#T`!C9a0eBm^;Qs-%9nS~P=dboyYVAyerfQiH?h;&3cJGspH0>)!X`se
zc1%hfJ3XbeV>GR>LB;-+K(7Llm_LiV7>S_GepSeb(+WwEE_?w$<-w)A<=uFuAU5*}
zJootoxO-eW8Z$wGs7~O$!!&+8nYt0wnGd85aqY{Sk%QrzTe}Snd6BbKCE9l%p#OcL
z;O&Ae*45fL#?5k}U+%r<Gg+XhMtJHRy)3eN51RFHb0B-RRgS)#hMhhyLy{DwvAnxG
zaIlIMZ8}}rzxZefI=Hx#%}WyBK9*wq6Eiec^RrUIEkTkMeK95C*cA2dw`2?x<}UGv
zc63_cqzpEH7Z3w`UbmrMEF*Yo_xqb_Ss?%I^QL{-B1rIkVy`m906o^wPaMhS;7fKm
z;Jd~nJx;#IIav&#?6l`M9y7y^jw-EljB7sLWLi}*g8@&c-8EvJ&7fitwUzg$04Drw
z>W{u=K>wlT=wlV82;d!MsvY4+qETm6tT`h*>W>Fr6fwnPr-+;h4t~7+*x()fkrC|~
zDgOk|nBdl%>9Q}5e7KrJ`d_-kgbWp%g-uh&sBApPke1JjYe%a;1zlvusi4CbBX=94
z`vd#Hgd{Ik*qoKlWV4|7(k|h9AB^x{M%`GoHxKeCUC!<=Sy8?9QLU_p5!xO4k|G~*
zV~5}QEKMGE+zoKqJN?EG{5dtd7tOfwKL7v#|Njh^cRbZ?7{=|Dz4zXZ9Ou~UcUeWD
zM5UBA@{)?Qmyt+HMWPfL6^V$f&X1Ootb`~+Mn*ETU;jRT+@I%up6kA^>zk-hdPXCd
z2M!T|+IE|b&>fNa%XXX({)+v%^OLLK-TIp#z8k`CVRhWqW<HPyRNl_S@qxDGO%|`8
zAx>=dm9^{TgZTYDr~1|lAY12EQTx0B5XrJED#wrJ&;?>CP7te3WSr~1VSp`vq;mh9
z<451YlTJNXh47&+h`vkD0K5x^-5lHkxV`<cQ%sUDu8hgvzSBU*a$t{IeW?Jp=55-y
z^il*LJXDVLo}?pOdc!c&IzjmGmY;L|EsD5p*XZ{(>7X5W^JDEtLAYl>4$9IKhg9E=
z)5bq&Ab%d^b@LK}?13UP<!A|roV_`%olJw#I;#v<4q-55-2KryCyB_R3_0%IG$hLN
zbw*YRgHkh<@-b8z6R)|rj_J~HwTCwEcvA#l3rs5Olx0z1T0+raqv1$lGj;leC<gxY
zghsZ@;oD<OkM`<gzlQg^ksvX=&UQ$#d8&X-hbSzC_4+tzR9qGnE)E&f%OjIDiujtH
z*c?)=kAtm)e?+q-AaC(r_HeBd1{38O8*BA3)}MQ&v|kdN{Nqdye^W*T%hu?lUHa&d
z2;6tlOd9Q!_`%<QRp2lC>xL354ORLV#)KZqAm=&bkcY4uGVhz`J~yI)pUYZvTu~16
zamPb<P1Vt#H|P?2hKAgoY@~dFJotP^wMO@AfH|biXt0?Ep|KueK8hl$H;$H9Ue`pb
zo(I3K9UW^A$oKVfC_!xObXws{E!dwiaQ3gJBjUrifTsgW@K(=AxX_{vrUe1Hh<yei
z9b+bM)+vMfgfIVJpAK~0Puk6h8Dd!8c5!2g3XYaG*ok#fP#8;ms_Zm`?^5D`!b4Sr
zY98MwQl^Us>+g(Nl17+w)Vy34r3TyHhjBT9t8pgOf^+VLF%-5OPTO-(9SSny^9QF^
zV=y<;B=MCA8WPg|J1sS^`M<U~5j#D|a51=xzM7)hDXi!bizb}wIGD}d_3$b<Ah>(h
z3>1%?uXE2eaj<b|yg@+^O=VtokCZJC={D)GYMmB(b<B%DrLD#{^)*}a*I6P)kS7qY
zwXntVP)%ODE}q9KeP{d63I^wUHI7JYW593qKbB7vEF^j=>^ei>(582G>Q35tM%mSN
z_Jj^>Pn>l9Yz|zx!<^Q#SsVF(x_&VaYC*z4lP-}BwD^k}${T6JxJRqRL{k$#1^#Qc
z<F>|;Jfrz9!&=C$lGpreqmKCCflwQFYs7vp-LHCD3vBCm+_GQ0@_q~^<C<t|d@11Z
z3F*;9_1y}gEL&x4*YRC<EXNua;dvX~wKTzb?&rjiy&`z--C=uDVvSXXq&dx10}3LR
zX$yt2*frUA>`H+(3M#}|SMOFwOWDVZ=Ov`Dxr05pHrX0$f0ZRxd#V8!%ujBAEry)Q
z+K$LzYc${L40+(F3dUdKm`ksPQKe8~%>`=|xh6Ew^i-hK?YEvTFNpu#kMliZvc^)g
zY-E;@GWu?@xTQT=h3`KMBA&bi?CkGOJf2d7oio9G?=vT~UCRtq{Q$jB$@G+03a}2(
zc-45H4K!`}${}$e{qp4y!E`z7mU-niFT{e~rXkB}7YU4V+Ug@!2DHzIew-6$!hPo;
z_1bzXaEt#TE|y9me}2c0o#u<g!?ipPz4BI&?&l0z9G5`5;-?p<_2vnVm(Sby11upv
zt1k1!NgVt<Cj*Cm&k|1RMQg8?TY$;(^moe-qPX))pWWYemJodt>gvL8frIlm`}2K8
zP@X&07wR}me0{p*)bd_)IFZM;@#qKxF5A|8DxW1jY#%R_DKmp`n7m)6fDmGIt@uO|
z=Lq-qh=Cb#Gib7}^^6h|M7F*SlXcBJv5UtHwIQbXRGuF(6vB@pAEhe>j*G<Qwl2TQ
zZziC%v-0pT@xe~_cKIdFWkQAPI`4>$2|V7-X@$IAg?Q`0EY<T&Xe`lsw)>eeHUwrJ
z)qTZ-{Dup9KW{Q4>8<d2O+{neu%WwHj&K8p#m%B53o1YA$ZUu=!jFi987<D-@F?l(
zFJxguHT(A$o%}{{eH)v*_d6H%a@zz4d9ovs(OlXeV~D+}S2DuyaAA+Bby~(p4kUcv
zu5v=a5V=9sGL#EkxJTEM({<$nSH!lY%mf2?X-=Mwzs7~H(FzCmk8wk5yFqlUvH?bH
zcRRYg<HA@n;|t%4PTD&TYi=r_<5Jo}jFAdA%H_K6+g;#;R&`ITj3XUiEi^t|$l%7S
zA;-4BV*(&TFOACe(y(^R@47rE9%x;VqRG4y#Nxq|zY@Y}IM~E@=#Jzn>|yn(D(Mlz
zQIXrrb=oxK#h*XCjhh$svSts&#6;lDCh4Qtq7S_zO=(*d_&|(5?0w}aioNNz)uU1R
z*sGiV&(f10*Di@hJC%q*X;eI*U`2uw3Sv(tDg+?ku(Q@pPXf~M=fmdM^fCMJF30+G
zL9A10yS0-c2@&DTN#38SV0A1WF+L}RreRz2Ha}^6XKObqctFLH)n<$10mA6ytl;9M
z%OW`PW^nNtD(u!-?D%+81YTRiZY)U3gG2vRobNs=ye3*O6)TEi$twvt{EBcKKcm;N
znTlX3KBvMeF?1;8IZ+gquwKuTXWh!VsQt+w&-f)U^jBB-Bb2c$_`8yKrH%?sT{R#`
z5_<1uoJRsxkj8Ido_c`_nP+0T=6|K&_GEtGY>p}f<fEq_KBMBr&fp-0%QEn4sy*{=
zQVre$25~iispzXcIaXvW2im02Ww$jND6oAT+UcMV?J79QEz9HCcyNFHJx$nLUSfYz
zq>udiO?&nqQp6Bfd}05z7S7!C5$Uy{L7I@~p!+DHAa{4If|Cw%+h_Mmf2YACeokzg
zuQGxT3?_d_pn#9@t|B^-4&K<^$DXX*`xLW;()4FtRIuDUGaG1tm+$Xo?>eQ59lH}R
zg%7O;gY}&7g?)yQnF-y?9ifJ;=@xY7Zar9BGM?CS)Cg53lOxer)Zu29%Vg?Kg;Un|
z<&-32ggYp*DMV>tSt&8W{|*(?18J|QZ6?TJ-~H|22~Auc-=g7HMupjP<2xs{%;4|$
z)hpRe3r8rW%ONkQcvd0z;BbUFOr+mSJ`~jk?fgUTfiNoka}-o_ep#U6nCjYNFSL>O
zgyA2rN=2smZk_wqR=DO?Vd_QI!6E0FxwEVFFfm!f%zT|dSJj5;ofmZQQM#J@!HS>m
zD7z^2bRUpxU3oJsRR<=a>o)%Srvv#RLAA|)fRCC|Tvl;9;2*ud)G)4vE9bs%<My$J
z2Wz`%qKnSTTn3nLDbc`W`HqLh@2yc~liji9n>Nz8VyCja)X@K%YkseQ4dU|kH%+hj
z7fa?C|IaC9T-<jp$I8-X#Xki7!+f<6<{9I5Gfoi`ey_S7yV_t+-Egx<uqG_)v-LP5
zWN|}HZG_Lo27%>y8Si#$;OK4h<O8~r*uXuUm1$sunrA<ApBbpbtSzqVmcA%neD8Q=
z#btwGIc9Z@8C4uEZj=9hUl0|ZG2Xvxtg%g7`?16`6{ItmW$rKY;CVplLUpJ$j$W4)
zoZG7mzw2pwMw#sJx}UnHNzWQQ|0K5FmsEmm=K&rMU1q54=qP{L3|v3^z(e+l0u*F-
zawiDP6Q0b`Ni`uWKDED!^OuPnOcc3t%-2p4s&aPGv!Xzd^zd1eUTNIB@lx_|>lhIw
z?o*k(kHC{l7m9@QB~iE{N_pxKk@rk|*W_I*Smp$pkEMx2#b>vZcyS*w6=3}QO^YSE
z?$?Pgl!?MHT!YDPs)smt#Io5<%o3~oDz$AEg|S`9(WWf5n>hFCxL4>F3p769nE&Z5
zgxry+h=EhxgkO)TV0W@Pri=gDo*NUu=6^r*!yI}DnIb*KkH5^&^H^n@=Wae+_uTuo
z^jj|xG|^V?V_=5c*S6Krq*r0hLg3b6?tbDy>!!$>NK;U~1NLl?=Elj}Z2t2v28qI(
zyl=-lO^|l(&_dP@PF&59cfa;_n7B{f6Io|rg6)4cx$%EzN9l5$TDtHUVW9ad&N;;x
zS^SYl+;6jil4pDSOwV7!Oi@XG3!5>HSEUI0MY5uh+i5DKeu79~y0pFVkP+M!n#PVk
zW<kndA~p5v6k-1DuE5h3PI;dc<<v6Ej1I92Vvi?h2*=7Tc}*J)ajH@N@P=c|XdNhg
zcw2jpsPW#%V_a>36O4)jLz2v3rBpE8Ke<2@{nma}V{3q{s^ZHM-Aq_|!C)EcSt3UJ
z&m~8{rlalHSW(JnCd7Qv*<)42gzx_1{|>LEBdm3%^hpO3@K`44(kd2692XO~SVx1I
zwPE0E9%lHJ8Y<5RvBEg>YjBk(4F{5fS!%a3<FiYAx!^b(ZhyR*WizagHLP3n*k3b)
zrE)Ir>}3x0?WlV#c2OS>AD*JHI<54}eEODw85dN&o%U^&*2lg5yGEXkv%u6UM1L<2
z4;F6?Wb3@7qLr5s<WS6tsF%SF2NzbMaYJN0xt)rD^y*}fBsLT(a;Nl&@FVb?N5BRa
zD%|J;(=YF`L*@Og1t)DmSo2q#TYBl?kamw;41)u!1GSfJ_6Wg@v*r@#>(!W$2xvEF
z<3h#LFtuNK!kDG9XnvxvMmML?(lLK-R0fLN+AJdq9VRdP(0pA~=kUgA&hg;**wp#T
zG%=(+k!IUysf)@2eeSc*co93IH|XIgft}&nH{x0;co&#x&=|{)Z0$TATOlbZFy9{T
z3a23EsqfS_XF+7R{}&s(APw;vp7ru}6vVH(Cpq9J1W)-WA6Y&*<h#(9Pe@WAeyhVH
zI8_)2`o3_4+bQ5u+lwP7*eFQaSNdkxxCnZE2TNue6d@It@|<lI1=~v3i!XbLAyI*;
zV_HlZI<^l!1?W*=*r0JDdO#coeS&Oqhg8t6bmZybV-!@-el~Jlm&9*gib`3VDm;vA
zmyLf?&~|3<v*8wLG^$;n`){i{ta9QRTaN1@$@MN{kGU)&A67K=^lD&%cY9fh#cF(5
zBigi%kVoj6P3ud~X(3uMDj>#44?lL?PCiamM24X;sERt!=5D&lVMv9B9jhf}gAzt(
z&s0oRQ6RhV5}*1g6{$j^In-0ixYfUzciL+;F6o9}8Cc=U0_}T*#me5RCbs^i{no>}
zgMZHnzo)^sBgla^q>7i`zHvKqsE7@9u)9A<$F#$<VNPvzgfYT5A8^q}xPYhLe^f*C
z&7QD+?yUjWD*?A|H0fjQF78WT?-;@EE}OV=vL<xz4C;2!X;|m=rOi*-1j9-q=iNvx
zocNGgv(|?O`?vQ?uD>w_H_c`&<g+$T)zOQiy=f@QG`{F_!W?NcOtK~wIv7$+6|L5x
zLE_Vy6OD9B)E$+$tFrR{Ge3ihJqq;E#VY@(=C>8Pdbh@F$moKxYiaxW1u6_C?;5f=
z06GzxC2FU2@wFs0qmP@4lAgt>J|1gOhBEylQ*<Hvh4_2@wJzcd={xQeTO(rXl0@Z2
zU8L^vkaCmJLFh=;#j6fBxS+3Pny;dZ>zf>>H_$cld7ZIsW{C}Gdv+GoL{RW>>yEZw
zbu}1YUsn^uWebOpur1s<I*2SBF;*5<#+hpY4fO`LXuOsYc<-(@HhEk-P%AGF2hYV-
zp9x#=Oiu)!*`<YGZla~iPZEjuq_*y&*dnAn)cftC2D(dF`cCMGK(*=-=aD5F9NTp|
zR{5ej*!UC+WXE~YIU{o=veX9Tm8eAegev$O$6D+w*>E83QI_)o8<^yk<O=Lm!Ecpv
zm4gZML~<O5fC;M&K2@1$^uJR=(cys0O#EX+92whhmuQVoi$%=ujTI3aX|*$erJdNu
zGLX=sVU1t40f%S&<S@2g!TPdBDnsj2Yhg|yz}53uQ8r2%iB$HsI<r<rUmE>aCjiUH
zfY+Jz5}=i)wysz1Wn{?T6P-&Y(5ol@Kx~Z|{D<D#XgwHY#9)*C>QXCgD(kq(IxGyE
zea()%d?SowG8bejzgyzq2d29ruLW^ka>wR{#!-f_n|w<c=L&y$8n$dt<U>f#o5oa^
zKa69PdC?AI3kY~u#ny52VD+eyoLt=~!|l`AE4_!zQ6D0@+ogpAS>x|r(-TG*zs|>H
zUdl1UbnuN+wezgl#)t|{Xdhze@~gbKI%W#FQO)U_N0@Q+zdidud>CXbXs>=+Xl4o{
z+sOvr14{(Ei^8VCuzrT@q*BVWXcM?pq>=9r&k@z#tlt_`e=*vcWLosQj4|dTZ}@w5
zno#fEa<-1_W~j?br2REB#+})oKf5L;h`VYf5mnw@40E@Mbx)Fv;A{O*B+dOVQPf&!
zN7!^QZcP$Qa?6HTG%MsQR2U^_?cI`hM_L$ss(CYlzJ{pu*m!=__%|`Bc=g(cmL^7f
zv#YXOvjIK_HU=H*>?0EDw^47h)ie62)QlHv3{d|{w<nmrmoSN|Vrm+wW^|^mH5DkQ
zgZ=7UQAN^E;;-8puAp^QjM7IXm(2|62;P5gAyB20=n)V1@^gC0xNwv!LF_pVFV>!u
zODS(B4AvY!_2%7UhKbV<{UU8;j?1}@6b!Wz;T8es##e<hHip?;-@TICUooFP#gy`u
z7*JWeR=h5S2>WT+m}sew3zx`Zo7Z0m#XTk;DU$ib1Woy)VD$<we3R}v<lIESZ9^qD
zS1A$c<dmPc!XsTT*1tJJZ6p%Lyrg?JR1&+jsH3kx>EU(>-w(sR4TPdON8+cmZwYI6
zWxD+2YCH|TyoU2zJy8*oQ<Incf%wjJgMY2kYIq4fifp-FPZX!;^tcq)5<$67g(Tc{
zF+Rh0x$8nb@kY<~s{EgNg1u2=k8cbGi<g9-T+OH_xTkGm7WkWpAG;@0#6Rkwj^~w>
z*L*#}Qooj5wr(cO=F>Ztcy(}6q)fl&d;@Xk<h`WH*cRd}vqk)}yEcR>w>8rA8;O|e
z{<L=sZA6nT`Sf3^7P?iooqM}dmrd&D-kUc%h)6Z-Gc^;M=yj6iKOy;rc<&#+im|nm
zctP9NynUS}{Gts${&Q(2ggZ`eXV?Bo2=U)mypo}T(a13}tKci4(tk+m>-%nE&NDXH
zhFt>z2MN6!4z0x8hBI#qqIwBki@Y-5gX;K`s?mN}@Eh@a!C!oHa33Lf^GHvBgBnbN
z`s^O_cM#KQS*yOp3=pO@B@#JSYVb7BOLkrRgIGIU8&}c#o8Z|f%a{I46>*!~3zBzr
z5os@)J(ayi2&uW{9hIu8IAdxSJX!IRn2i1u^+jlmFq6A8^Y5MtOw+?|cUkukk8_q;
zT@(KjN2n2bwlXSk$ge*(KiW&2?0iSWu9+axM<<3-?kb~UA)I&XhdyGy`SkB4#VI20
zS9%bivNG7nmv)z$2Z$8sH^f!S4AHwO>r7&{66zykN*_rM5vq%vagPqo5@x-h1~!^1
z;keRq;S-4?L>}W@i`&RN;oC=T*jS^8`bUMq*}7u{yWCF~!)HqbSGty8#U4e>FZL8t
z3;z<94Tr;<zB7R}S@7|VSp{s}QT&FnZ-Q{h&(+?4l?C|`Ndt#W72vE9cB~vz#JGZL
z=X*akOmT61DG!qe=j|eO_Kh>d@on!DMo)2|Hm2<1wl+Boa&1_>lrT$Byk%<bUvpvP
zyvDB`=5kn!fB*5G%mP8@$jl%eS3%y+SVk>d79qg`yH4~j5iq#%_=hMz+WGs$e6(dD
z!h3bS_W~1=rJjhk#tUMHeZ?h|$)F(I_UPKYl|1Sj9W=B~7-dNU2VHi{;H!&vrRfbe
z^fjo*le(fvKDwd%y{rrd-(4J<%j7`*X|AogHsaVP`o}J1QX0dXqHCT`aA7bhYu+kW
z5}po!ThfN5q2;_>)OvOm^f~(~WW;13&QI@s&LabjktLB`>-oXOlj}IrE{9HI((3nS
z8Ql5dENYf7i2Y`9$q7M<h`VC3)c#cl?>O8ntM&^cy6Ri~5jkZvUDQ*ozby-Xnv{B!
ztth-hm;=;CRG<~N6u_Dxhmu;p|HzHvXv;bz^teY24$)^{_VOygtD+@v|20YEIF>Ze
zGiky}Nh($4up%70`n0)NWDxZwo2kTB8_gRdzF6H+f*;S(pRrHm@OksseQ}Q{2;m5I
z&EQqRslr9c0Xs!_)jIEbq@{;%v}$tAS5>SD+w?fDP6?NZroN#cRCK2*s=r~;K(Q;&
zLVu777VdiFjIZRD0~dbGe@xLr)NC2(dTL<Pity_^O2=uH)_+1p6x^pv&{-GNA+=Qt
zf3pn0W;Vk$u1SSoYvz3YS51T|l#9lf8^WI5l#ysogR}4Y%$x#kNLTTa5AGX*kF$<T
z=7s@$coyxrFH_()_e_b`${2L9QwOKijp1?e+-A~#H8=`ChOG-XM)^S=i?5@mV0Y(o
z@#)Y*{jKM%8+IFm+c?g+y~P4ov;7x1?oqK<o8VV|V}#-#Zp(K*5SW>6urOBF$FOq0
zL-Hd-9H?e*QggG0%5jHYVuefY8JIqJFJOS;&sxV*Gi`7`*Xx{omOktwTFWUMG~C&|
zr_`#>79yK@#V9xRQQz}wYrUNwa@?2SdNS<5^*}GG(pDdqy;ih7c5UpER*H=cu*YTx
zgFhEbsYtr#_VU9mRs0cVQux|zkLknC?+*Xd!-L{ShARH@=zZgz**a^FUq2d~?kldw
zks6N^ChJA<L4X#c)nyMZS?w}*CJM5aIdym1a^Nc|eyHt+Jv`$YH?}^}g7$Sz?*-dI
z;zzZjNU5AX${K0^IT&hypV4|-*Ls-oI*3`05o3p??Tscv&sA|&SgG@8A2Z2%*+=5_
zZ(G=>s*Io3S4J3hIO)r79&+yKE2~eig^6;>lY)y1kRKZ0v)e03wiuN8y^puS_SBsd
zZ@x&w#rw$X>U?3cwq@Oiq)}_MQOj->`HADrrtf{h4x*$v@pRVT#TvKn@4V9LB#hil
zXHHvZF*4-zSv8hoK;eMKm=+TsQl#fnesznHiF+%4OKAaKw-1NiUB!X;F^^Dw4RKOc
z#84*Ok-&Jme?sNaWx`HdJj#bAPM!_o>DPC&0ws34dnWrNv9~aeX<SmAOckJfUkb29
zR$+gT&Z!<k_FMV$+rP!gqb&5;<B1kf%v5^evH1aUheuPkra+9O^=DNoHJBr1<CLi~
zS0_W`)yFr==fub;i<>Qp;^xSaGrM=seUz~`B{%xlMlo`TH{0)?j~P-#_KzN}n_>vo
zI{ysQ7bE{FsBM#dZHj-%b5A5b&NHg$t%-{&V&wNZ(JfR>Q*iEdO!||^M2h7p-!#+_
zBlj_7+bSlQpu;zQ^fEsy>EWRfYv?FODs4#Y_T)7|t;e7RHnNk|?n&<Z&x?_ITw~vk
zM;qhh2LB^3eK^S{HreO%K8uk{Pj8S~g2o_b*@@3PxygTpwz>Jn;-n6dcG&Ko5n`zY
zi+9adk@oZZ-c^>0lN-40XA1R=AW>0h6v@s<KIkgBEZ`wQ{;2BUzffxkR@eM()^GXA
z`m_3{vIQhbd+|;q@~|OVQ>+R`2|+UdKhNQ7KP5>s$KUShGKR?BH?;0QIU({ve_>gA
ztrVFxTUvAIvjLb~^W<U|g~-y~mimk)X)=s(_!AsufLW`j_pf#flMf5dZ%UbvA$_y?
zO68pm(6OQN%ihl-<QKi3x*m!g`AN$sy-&&j4P(?_HC3YIhsvHD?(_0wR=djSZDVxk
z3trpcTq#BhzKG3tA5<V!d(!#D8|au+nz^E1BTi;DjJ580p-5g2WJG*g$%ow&JLWF^
zlpq;7JG&MyD3Q6H6a&k`mE8E`$bt;J6d9SfRFSwvne^%YantA}9bICrswa)4$;ZRf
zy_|+B<QusH%Nrl)cwhYGXxlLvvXtt(@w2olDI3vwmb${5rI}_Kimzo!PUoH8{2XfJ
zk!I3pT*3fcu97u%a`L2k-V=c{lWOD%vA<<`TMQ8A8RPXYT!DOH@R)65k2?8pHM0jj
z(*U(PUG&?h6-l4%XVNX}G|1Ao6E@16hG5f~)VDNMB4u4AxdI9`$>r~uoIYuYBJH#}
zwK*m7o@lVg=~ykYkH>gwaLEwdnj;>?<;tYXvevUO4{dU7tz-6&cq6a?K|sF0jQ#Rt
zKCeQm<dlA+@#&D?l1mnySN5)sv)ZW&D^=2{k4a-7Q-|zd2shK8F-EvmLXzvODtW}2
z^>MEPg?zXmtoi4a32N%D@U~{Fk+P2Aeo;p$WRDZ`Gv}M8xG3<;UDr*WjP&(YeRzjL
za&JA|;djIgftrrqY{TlLe0-%4d7VP8(raWVH=Bd#4%p5dq(QpXM>0jbQ%L8~V~6xD
zEO1MxPxM=_23h{bI!v}lhh%dJ{i&m93De#MztdKlWOU=|7-tI|@_zsT0RR6Cmv=bT
zZ5YSx>};~P<5<VB=kGQmA(a&+p^#`v!xkYCl7`R_Disk$IJZPf)LT|aLRr}(L|*@X
z|9GC~x}WR1KcDZ4L9gzoRTIcpJ9U#1LBf+1Bd0zuG7bv_bdy_5f$pKL`1@QE?#XF>
za>-R0t2Z?q4o)UOdGdJ*-X&p3=H%EPSrXEn(Dqak1DL8iOWt{bgkfLG*@BuC(NFe{
zOS}(&+Jpsnk_`!?S{XIN+!U}RPSJBB2cVHWC+{|;glxJ}_rp8n(9_dLI`|#HLFO|&
zp=Xt_D?CM#(@qw1U&hIl{{$#?{PxgySP}Db4r_+jOCzsG<DRxzfY0aJ`1A-xY<(Ql
zSCu4*PWG>M`_BNZWd_@Y#VX)hv&m`WQZc-BAVBEI0D!$o+83Ue^0;*Tm`5ht7Q7YO
zd0qM~!1~PIkAM2*ux9#WZ0}7WyguJrvU&$VXV>`^GJ_n(oQ>91J}iJUmwL7)odEdp
zVzDw@N*1q7u~)qf<wI4gs2k3P0M)}+|AZRL;BDVjvnwBYaQnB})$(Nm(m%PKb>AnA
z8j;hcwI8@KPv*za{3!y~^60jGVU$8^gAuKXvz%BwygC2-h$(DO$RPwgCGbzEqAo`^
zJ8lCnzg$;Su+4M{KhP?MqfZQva;UMP-Q=fn)_N0|P`#<#>LiM>i>&6VvaG1W!youa
z)da%UomooeMKCXj8j)~f6ZXCOlirkR3<YgG+z*R|ks0Tgqj@*s(_7V|f$K(aOIxVn
zb-WOsJ+yvRXqg4gF23Un2rz=lj?|>MP(d`AcFGZy-h|bM)qVwb8iLx++t1i93E-Zz
z#dC&Hn=nph=et!aLuei-3>AOLk2M(y8Uzn3ig+E@O{g@0ZCc*Dfu0}jK1(otYhgv2
z#gOkI4Fkxg7yR3Dh!49?bPl~KV?#DKjt@T`=mYGw4EZ<2i}!!pC8XD~<7VZS9Aia&
z7;HLqcR7L=DJ?<S<>MT<BZWS<xKIx?0@k1W(BMUH@%(l_11^jceWZ0lO%JXHIGpNT
z=0UE|q1BWEZj|~KMfc)`F0>4b&5HK$;F0?&D~?-u@RjIIo|jg-u=Z$_`}=1e{FxP>
z_HB{}19nf*o_6bimtEbrsD2)Fx-+CD)y9jG6Z}El!8(w|T$B*V$cusr83D2H_>dg%
zl_Q2v2d22$S=5bqQQ)noW7bE0RJ!h1FkPVybaBirehIu7$0woBGc15&5BGIMduhYd
z9_z@?VP3TPOP$H%5kej6Gn1=)+Hl+dYnkIdK8$Uf{VZ-TjQ8%w|GW8K3-XnhM&Awb
z;pfK%{}DMN*q_5h-JGNaA1dEmFpA+vFU`WJdU{bD?EUK$y-N$ESaT*SH3hI?U{{QJ
zm>9k?waH16(E_Ce>)T$70?2;Qm0Oiv0*4um<-V;@p=|$(lG8^)^ez?_DSax5y{k=i
z27Od;c(9|Vq*@3$l~&!{wWaZ(#FqGw4^)_QW|m2=6~;SyoF?sJGWc)xU+CFJDkLhZ
zX#8vw!IPf@+RV9R(L+fm)wqQUmWd3kS?gQygy$#L=1p?Av+k5t^A9TAX`9V*GZjNh
z-CrJUc6q$a7T00GtObdaZGSS-#4+y2uAiUy6p-t#jAfp_7VIcp$n{^4KpD%<9mk{;
z(VN1`AswLwC6d$98AqfrPeVV~N=*sNY4*KUU$kIl+|Q)wtTa*vpC^y#lW_ihHmA3V
zHl$J9=d{dakm4L_uWPD|qI7dd+pDzUal|LF2_9L@<h-zdpFSB4c|>lc+37&OOX)r4
zL0M#`Y?AJhQNi<-*`v>9b)Zy&xpaGl96s%{j!BwVLDS6lcHbZCf)GdEL%BqG6!I^m
z>v^b(FSdDTlSB33dX4|{E6xgdzk2EJgrORGiYQqu?9qqK-nxNCVv4xuxtiL<9W@MX
z399b1GJto|y9bW9E24U#%%Fd}8nW?9M3;dfaCJGc+eIrObJOeLy3cB;Z!Vc})Z7TV
zw+;@!7bc;^uG`9Yuc~28*F@JgYh&2)pmOEUbrRC|bO;_1QNx{EE2DaBOrU$XdYi}^
z30Kc0m*#n>Vkc?zzO$t%RC3hne6vu-#hj~;wS85P$v1<&o<e}f-Ry1G4lAQbPLz3~
zE*T}fJ3NY+08T4E+`d0h8QtC3gpRk9Ft7UO@Tr3U9HCk~gsn0rY<+&F-Bt<1&5Qja
z%K>EgCO%oSC?j2Z={^1X3V29|!lAGTkgKZ#85=wb{$#eqF(!vciy`}<f*D9xczGKO
zkx)ckw|9*si=mB+_JihTklr~fX>nW$RmrQoR)Nx(bZv|6_zpAh5STmUQ=*6wTGHS6
z!zHjjYW%tDb~E@TU@I}$t$=qV1lyYJMe*LgNw>4QX7HIBU$%E%9_=So>bC6_#!zN4
zn`r?vsC}_nF^*myRaiNaET0NsF8#CMjA4Ldt}-{*S>({Tf0<lq$A`r?o=sYnZ1AG1
zEJ2G+7Vo~W95OWELGC$S*I&m0LgmiyRN|DuqQOYfrC*%L*WUG5Lj~ZbNJD85zcgB_
zo%{QKh7Ao^0_u;{ZOr+I(mf4JNi<AaPxeXLg!j1PCCd~D2;|5z_6iZl-;yyZtNF}m
z_kAof<$@^)YM%9ptQAF%5u4RCeI~4CNo1QCFadYg%<^p6E%>IoO0QUl5#I@gfiGbK
zQsci$r}BicR<ov7Fr5J>&gL5#WgCO(@t3y-Erjrlu?HiWV8CkTGyMK5M)3Nxl&2x1
zAm&X3_gm>O;PPAnQS5F6UOqo)qyc`keSbml_hANnmiR|3zs3*_jD2-E+0TbR1lZNv
z+Zb?HUb}RaoFQ~_o=S>c<3*Njsht0gGU6$k+C7UD1JKTNol4Z_#j4CtC$gwasHf2=
z7`vhmFW&aH#-?rXm9DOrNsJluGtR6R9nl9P8~=vAOgxx+cv$s;JPYz_t(A=Q>p`<;
zu5^#WW<;jIYrpI^Vdj}mp8f86VC#AGwEAgo6yNGoyPnR9ccx8lsdwoDv*6G6*gstO
zQEA!q&nz2`h5c&|ch`j*hqelQDdfV>47z*6k8xnEvzchn4;^SImp9mYfeVWZGwi->
z;zE_9l@FAHbRdtbX~Fn17m~M}vcqa_6ux??@#~s4BsIDo+*iki6<?QRs;qhNy<e*9
ziwteZufK3QQGy$NCa)c@0bU%LxTUkIt_=ddk%!0ba$|{+U8mD_KHT@v?#9GNEugC!
ziJ7wBjL~Ph+7k}(BRBU%a?fck7`}btb{-E8vh=6>p3D%ym(LpFWaYKs(DaVY(<wZ-
zuvfs%xLpvpS7oiLc2S|r!6srxk{3N!>jyTg3ggt;DdUigjhrw!-BHhrtm(P)+&4u~
zwBQsu!G#KWBmbHQ!}+j#bWgXHgedMSVpU|2rGgOi+{a_v`LTLhEBkJx7*?loc4sYW
zLgzV~@Lp8`w6mzX+ICa|bH)<K#oIN(#V5}_O<oYQSpOB;nn+>Kou{6GwVGgi{J)6_
zO(C3nu5X=qMH(AUyu1)!rU}2q#XW4Ch0)@3bWg_>8RX*fl|Emt3HH~L#d<G`Ad7K{
zHp^{UWEpNaeYrss97jg2D*CqI*uq&hrHy^O^=|yP=^;%hA<SZ*Sc>6PWn|)~4tb=L
z@TbxVQsKF(qpA&xqxh@1S=Mz0OyJUdBH>DfKk5g%i*`z)y5@wfnyL~Or*ODEdQ1gQ
z2gl=~^HTVu$>iEscM_5>H^waqX~9Llu$=xjX`~N&RrV!b8DF|@xu}0#3$9C*bNsH5
zLBF2Dp}&vFIORNb>cGbTY8bbt=jF;`$eL-sRh<g*vlpjuf76E8PF>#4i*mSR{v`O#
zYgPQ_yqDycrvvSd?k~GS<nhsGuXELfYS{SXmflpfE;xGgah~;5z{qCB`942&+<K_(
z-=R}_;AnW_0;7c@PPXpV%~(-K^G7b%?uKo6RD^!tZgC}iVm00C?W%$Nnz6FM83y3N
zDK*{mO9^MkX3e5cYv6uy!T1|53?cLtDfmkc3HjKP_jv8nz+V|csdWQJa9(k#*UeZN
z!?G%py$99trh4=1C)_4*F*;49tVS7+U1Is?Nmj>je$|(Uv`xX2mT*5_f{cPr(Zd=_
zYRJ@8bs*J_0HeZ}?`8Iok!(2edgPl59y^o5^;-$Rig|ed%K$RYt8VClGZ}X%e?M4$
z3m~PaBrVI4j6BINI1b$;;pp!o>(YM!O7(XJ-1#=<TlsiWuv`&G?YK&_H}-!*KlyE6
zp)&fF&9{oZkjIOkwKLW(nt{{XkkhV0%E)mc#*O?`7Gs@$FqxE?f!JC02stkj-X}KA
z#XpcnG4rCzoH{dLGiW`Lovehpyj}E;z7n`ET;iMp%?ygVqLVsu6j8i72&GH6;5)ZB
zre_|Rfp^_OMz<^ljLUS`^k}OPO79FK=U*^`s546kIuhj3TjN+eiyA-fZmKV)b2I~`
zuz$D5j>w_4ZRwobF&?DqvR#<m;Lc)o%-ca*SyW}G^Uagw#Fs;n%CB1h3NIH2TvwGr
z&+k0v8-!WW<srx1y(j?hM<v}``J}NxF09P(H51ld4jc$o1?U@kTp&O%iMfZD4>I#H
zVE^XlXL^eWSmnIi`*>aq&A&KVO3$p*iYk{KpRbrgmVy>cFp6SimS@^*^D1pvoitct
zZ3;nRb(Mxx5e#F?%htWRLfaQv_bB<Q3B0b6vHuw(gbzx*1MZWTX`ZRi)UyVRq4{dP
zqTRdz*3$2@V>`J-%Vwdpv{Q|NzS1<DF^L~D-ncxScUYorKd{=qc)<w1w%;6EHs`}_
zTjiVto-EPMJU{p=veyveS-+Rw+SpfS9e?PYLY8TTR@Q=Vbq(QbnD@t7F&?ZT%`g9V
zeT8OuvZ9?m(*Q0zJTHn5=EjS<a#+E#N;{|^|Lpi5efa)zX3Tnm6F>PlS^TY7qe-X|
zqP+X{VfwzfnZi8|e0*VyPVvq<O|ILe@NbhIu-I$qaip@N<TNdvp^pyt_$M<N>Fa^v
z1&gHF5;n{`YBZwF$bg4Q&Lf>gy5KZh_j`ef4X+$zE($hf#6Jg4+V;rlLKNdNdMC1?
z@X5$w+f*j}qOmBt^NtQ2Y?-~>pwEh}26j<%3(Pp7`Z&!}Mh9;1mK&etXT_sh4R1Ar
zH=&M_uyb>PHazSQI>9Bvil<L!8`!e4q1VOO_*IHF#C&*l;GzX9zRB(xnW|vNoz3A@
zi!?20b7FN>&t$~`dXkrF3@0`@$g}r5Zv5@u!Z=}0HjGZ?3fgy=8)GZXbccUaA)z|C
zxU`TB<qp2e-Mrx~<MIj<mY1kde`Za$){h;}<#VbiI`CrkOGiT!4JvfLd1-8A$ARKI
zb!|?a<wG@N6-Ak^ny_QRj{dGQC#GemnWa?lW0TJC#hn*5;bF{VU_cxf29$UfaC2<%
z=)RArF=#@6)9QoBuiQxYL^|ol86hMLEFb#)qrm16l@H5g9<(?#JX^mej6c77+z5O_
zf#1T#Cll9rFh0(4Qt0*;Ji|N`vU-IAhf4-z<bLv^V^x0U!oH0@5$RYm7(jv9X7=*b
z0X{UWy=#)HFM-;+C03mF6yS_+$jn;g#{;HwtBuqR9$mR(8*ND0@YVmKxMT&feT>hU
zqd*#4C62Bi(WU@Xc$wh+LqfQ_!S<ETYZ>$(p{hw4Q(%q3s$;EA7=5qwmPJg+;`Kc%
zZd{HO7_z(YFIjI39$nmagH1^upYQb7{18fkP9+$QX%t1z|E4vM1}Wfb(9__}<rJ8f
zo{cU&Dvnoc*!NwoRm7&D%~5w5HGx`H{~|&|68|Gp#m{bdJ%4=2VOM`mc);)P*Ul)7
zyaS2ja7r1O9J?;8Z}2Yb-Mee|R-{p3?)1{&M>5jyh|{tOqe6Tuc2}*)VC2d3A&T;<
zxcR{q=6qEx2+vq}t;QgSsiPTD35V72_*TWY;wxIv-6xS8%q@@AB>qhE>*|=$x}`#H
zNE>QB^@cpe6;N4-yC^VE1D~gITsttP1L}(B;<-s1J!L3PAj^z`%kR|JPI2hL)9CWn
z#SM-g`_vPdpGm>J_q6uBwbX}O1s=Bt6-b!sU)X5cM8UjZrCqL93}E)r^;aTX8~q~8
z;E_?=M&26DSTJb_9AyXFBYKtb<Tl^GyUQt<v^u~3YPT`G<YWB#EoEc>U-x~T=}$q^
zC!!ynD@-=H<1nQwrh+fd)Lo^0)xh4#iB=;X0=6&_fr3#gm>cTzbYHwWZnExJ^xE)n
zp>f^#x#ud_YPN9g+Ba2nDAVdOK!Eh*7`ZEzDyYwJA}4Z;j17N1F7Mgs9T{l_AK{V;
ze&#1Gaa5Bqnd0oF^VAF)zh*sUC##^?QT<q+gNi6WZl2{pZw`B()>qVBC*#iQp0vRQ
zIpm2EJmP9-4h&}(=zeu7<9X`f%3z!fx{?AP>bjXjTYr^E;1mfHo;U0#TS;PZe_PD*
zesd695qWudNC^u)CBm0zTk!d&cR#c3&4C?7?aOKukxAo8)2mcL<Z80C{GenG%M8cT
zL(VJUg>CyoTN`=t(jV*7H>b^jS8(sib_02oIMMNBppO&lA4SyY7n#AjnFe3(m@Hnq
zCup`Px(V&*_xyY7ZU#T)0+Z=)$>8}`qqKHY2DG$KrdMFt;97w@-_f1Ys8Yd{bTe|5
zww<~E@RvM*evRqD-;$De<o&apQK3Z|mb`woaV-dX*Sx*<LJTb(YD7mRW@w+8PqX?}
z6JWpYqZN023l81q_?qx>jJEtLDRyYi6wYjJ%WJY1Mpn~WvEH<wG>vly+C5ZFVHY8~
z$hlh(@80(>JF7B4tFO34Z{ueIdqS8O>mvCv_l|IG@~(cG>Gvl^5A%(od*Av4r#4=U
zIPq8HL+E#!(5J`Q<Pjq%uyNz|+RcNzDh|pkQ~PNaR!J*b8b)Bpt-a^<6c;`r5)%f)
ze$X5@m6WZ88bZaysQuG;4y+$p=A<4Qq{XqUlXII5AhFG%aPSZt?msD9d~f6@&Gea6
zw4jUuWXH3+yI$OctgC|jv&|#4iu8XA&Ko{v%5Blz^qUz?Hpgr>V*E|Bi{NM6-mM2F
zLpdSimza?6VdD{{$SE4*ssB>DO!R=wx?nQin-QmsXdg3g%+MSf&UX&y>%xK5!*OYW
z40tWw_Q~O-IT}CB!_JdW7qZn)q?#1aqjstCue2)*v_qq+A4st}!27E30}m%XQu%UR
zV@v+fZVS13X)b9))3$Zz!7MstZD9O8H?&Nf(Ko3%d_o(Pow!xU9O$sGV_5XI<|<9<
z@1Nwx$qnzF<rAtT(II)yXLs3~|7e~kb|W0ug3mYdqb=m<&~<4?Yfvg3-ZI(J*1kXm
zU-!}B9uqqBT*&_IH%O0nn7LIGqo}ZdwGOCf=&($_xTkqLBi1~+eZiB93U$_1HM?3j
z&S$y(fYii<Hs`J;9losz6VG1j<(kuDt%V1_?S2+aywQ5GN=FlVrmh_S?+ZODhx98L
z@~~pF>+0U4pD3`(J?^*^!+=90AE&i{uwlHra_GZj6gaQdXn)+E5jj_bW=h&P@YUt(
zc3J!sSgx?G8Pa9KxUAUhJ(FBGK8+_9&T0U|u6>bq1Tz|OKrPc29$efpKOxty4i_`L
zLWcb|-jU;&JF<%xA;C2u$XFfPBRZFjN;hGW$)02Ld3;#=K}<2PSPfn>%Z>9(vmt4>
z>`fP50Sq$HU8HHKf%}_2rE_KM__r~l$|hS7eb{~LCTmpTs_Z)Jv!k4t7_!fs(^?oE
zWTW4w?^T6JPYpj^CvGg)iu7*h--0(~kJoQ!SB3sB2b=b2@!)lBy}EiPF&vg$OK1F`
z0%3KzFHbx1qIq4W^gA&L44vAN`RASr%!O7*4PE9#cdiK{#a#;j%3AT)q^rP4&+gy6
zL;U!<HY-8?hcrGUGAwu8QUT4yd;7ed1@X*<^!8?DS+sDGl;N#c0ZB1yviOh?CisZG
zmq?JqJ8fdGdO1}=P@nO*WBNv4TROV)$dWv6llt%IO1LU~e%)*H(L)rEZaLm=6RwCi
zYcFR>i>QH%cfpGh8*$v0I<RtphlIw1gFk!*)!^z-<q2<RNyL=aHO*(r=ox0eO>9UV
zvPf8zO-N(#oYO+Ln+oO&())egOo8<mN_`dHGRRgnGWnHJ4Yx9Fnl5Xhz|8)3Kc6eI
zh?X(|9R=#h{blg#!V^vS?8NP3^Fa<3-}>%15vO1c|Cr6mQYuJ(b(YuWQb0R9UjdyC
z3QD#cMymE|L0~Sf{n@FAbSFCQXohN{=)CvR3Rwr7QX`*xUQt3@%Jp{+bW|LQJm931
zqYH*zl|iIt5)Nez{2~re(J{)#c(aB+Tx|Ut#y7vg@7hb{jp<ax<%2sqyA6Pwol}{M
zSq0sS%fT;&if`nZADZ7Vf~vOSZ!rrh$oQ30OU0gwEde*e>-U*}a`=H{TD2;+jCb&!
zYSBcmDyC2EVg%$Rqu}}7YRDRK?sqwtCN8OrQ9FD9SV}LFE)}cce=PTJFY-{3{;}&0
z0cA5_Cj06ex2oa(Xf?y{uhcMLx^srU(+mc!gB&G_)R57+TPJjljGr6KBIx|hA;r8h
z+IXuP`b^15=+cq!N)pfh<xX?p^kT1a&Q(Q`LT36a{qm?*XTer3Zvhcuo2Fk?so=e;
z*WY7b$)M_M$p?$}7O*tkI>~&OjBQ2Rt}MGsU~G3Ni@UQ0<YqCwyyT{gPepG$YD^bK
zmUs`ke<mCGLffUc6G{kzJWnoK^I;)FeGNCK1$bKJv6c8KVjyQ>&Q=)?v?-Ocw0dI>
z<3(%vlK;u$hu2nL^k*56H7L^k%n@^V*+h4Cr<NSD#<e{;$+<*J_{P7V!eS0<@wbK&
zugTzZ*Yxm2>rtAK;UB*68)oqBec;VbdTG?==WSISZKm;?Bu>y2%ph^KYR}q&IF`;|
zO&$_#A<i{k{8L&25LUGP*H2DS6umdPY`Xe`*yS7_;cEm?L-(8VeTOjOU{1Q@vr!@=
zjGrjGOn}qoXctu!z{6~o%(K5H34Ootak(N>`0J8hMfTyt`#;E!Zn4i0=H_MG0WBsl
z&yYBfr_Y1K{1e-XzRVDX@zT}AqA{GKn&cQpbE0uaw1LUm3~}|RblReVF;rZ?bIfv@
z72E!vY#)9)LujPjNxQMn2znR?zOvOYqu18QCIxIWgtl;H7JZf>Xq^<SRr|q!Z&G$i
zog_^Ya{To=v)>HhzD0A<Qx`harz+}9m`xJA#oNZkNd{2Se8J<8`YO#w{?14`>u<t)
zJlIa-tUg$3aGj3VU!vW97WGAkHcD*G<bB@Rq6Z1<SwV}n^EA?HTcDjACUPTt9yO8l
zAT4Cuf!*aZG&838Jv6JIM9nUXf~rJa7!bPJnJYC(^IIk6LMVd-Tfb;=;DiobeBKpX
z5kE=`Kjm=#naK}gXGq|l`z|_g#ftZq=cS)ChL!mk(Vu<9zr7E4s=d($JtTWniVn~o
zhwc)Qxz|JNtLmh6>1f03)#zL~>pt47p;^kIvM%Cx&Zms<A}t^@)qSc`{Yv}m+3#~%
zxP$1t_^WkRUJHyAZL;j%x6$gT!U7MPzYynF0*6HIZS<r0@>An1|Ir-E-cJ=b|3@$|
z<&!?jQh_ey$+urOnrVd-{SNf}pNQ)&_0CHLn&9qA-*Jz-ktUz)&*x;&LR_{!r*KYP
z6J*(BBhu~aXc@&3lFo166aI1JHN8p-(4@w_hy1H(gTGo-Y#W=1XHEW(#H}f?@Q=mj
zhHDvZi9LCiN$oB1D&Eaqx<msMSw)7}k3OOac02g7&ovM^7WJabo$8<@OJj`<yG;wh
zr^l;#8i@E{&ET8N>d>M2`1GX%7isPvuWt8`dPAi8^LBUXtHFp}k;m!vV+6-X^$)uY
z-VhtMtebX16?Sv=jy0}dA;u&P)n9DnwKvu4ZWgP6P<q6grOO?{bF;#+PvLKf#?*<i
zPqSng(VhOt{kVV_5WU3mVf_ukJ>j#R&xj0m<lE;0@*fiq&Pl_2Y#@9+pClV4Dg!U&
z?XrdDGlG3>+^(y(kw_kDKdjPCf&;Xz11faSiCbG9_l+;VC0N8}Zq-ppU=vUJd*ed|
z!Ily?`~BoQqWjayuD(l35bN$NRdKJ9pge804OVF;?ghm(9~@VNk{XxJ>6B_>gfoH3
zMzMt`IVK^f>!1jlGu(W7H)%v{&{W*G??>X;w9q!)7Ya}sTs3^%uZ~!2RpTFB`b2Pz
z4~^N#DL|?arC(2?p5Qdy+o$dOnGj976zY;84~BWW{M%>W5WoG!rPBU=Ax!eSj+t+g
zhiCDlbu$x<gi92uzp|m7=sVzMy$~q}!KGiK?F8Nt?#a0u_R>jg7r&J3x*`i~%y)LL
z9BC#zD+7PJ%zh<ysZWmVJ|_z?Y!@cN{<aW03*!0q-n|4b^@HB$zcTPY00030{|uLT
zI27I&hqGjf7|SqYHwJ^U&lm=CveUOsDN-tmieyWLpDd9*BBdggUD>l#>WCDj4W*K$
zLY5RF6n^vXz0Y&+J<q-Oeb2}C*hI_N!Po2)b|$A7QvGb@>ALGpk;)L1^YzyDpKsV<
zS6=_UxMq+Y(=A*rBBTsE|LyQsxzWjX+S>moz4{CLqzHFb(Iq8_a!^e85#G(Fg-n_z
zCwybiZL`@Bp{@kI`(|PuB)@0BlnYxMl`+g#=TWj3JD~`1f0J}6ogdgUM}sp3-+yNt
zJl>$`dqV*_D*5N^oO;>mT7JIn&g1NB4d1N!yX0Z<xZ)z8Y(Lv}{2YIb;w0NQ5Oh0*
z<-zHbbHV~~kex2VuPArr7yD&Oh}!Foa?s?YH*far3tLyzQ#xbIH2cX4EqQgCEF|Ro
z_heP^H#YOL|DzSd-|TaHR@!2EWgz3nhmuo`!|dhJ57|vy=GdZRf+>F5GGMOleLX;E
zlwEZ2TYXRdJlkmX`;ysMGVn07$KA8W*?nDsHdAJQ**D{a)18M&5R+vvdD3^1tv$2u
zQLy4NJHcX4+3){IK$7*^v8(MD+q5a?#`fY>pgGY~X>nf~ZtIw(2c4T{PiGWM?C|3T
z9q}v7em!X@Ilps%bntI>k#J2}#}Qr-yjVVTp;8JQg5Hr=uFkRNZ9}qmU*&^N$zHEL
zEGhV?tx@`KX`U_cK4qLHBnYyLX>DPziEzZ$R@C^`UpBdB*_#)IAnYhBDK>xzP7>F2
zXz9yr)pZL?ZcQSP%b!B^Qz60#eRnt4_$nY!eg2jRiGh3nwV0A2Nr+KsJ?wLj8;I!_
zLtTc%A)x*88Pf-n@LT(scl!fgaDI_F5HKwXcV3vbe=U)Ofu`!-*gt%5QY^D?!AKgc
z+`6us)=GlKz{~L{KS4NJtK+!tJ{bs||8D;JDhcs#Zsbd73q#~?TZJQ$a^MhkU1-vT
z2-D=G<OPN(eCzs|$e*eR-RJdQ7c>*0keYU1-Chi|LVZuK4OWJ%NrUcPaZ-@A{Yql3
ziUdSU<*pXlqyklQ%F9j{r9ode)VWui2;+fe-|9B2!l4zymc0uk&_3zMt>-HZ4TiCb
zgQ4oM|J3!Vk56P^`B7=X$~Q9n{g8Zt*rfrd??lkmMCF11v+oF3rW~Xm*e)vQv<|HP
z+~LohPz37(f4B2QD?)FS-{+wPZP>kh?VZ*GWjHA0rfs-W8KjCo^szqc!XW{-M86Rg
zSU9(@*g-%A+HA6I<gN7~Hm8y>5~~I~%aV6q>83*av(TdQQUh?NHa`7Rqyb-qvSM`a
zsR5m|I5Nvi2amZLE{)ymVXOSBRRiTTu&$Zxy0n1-kCm)P&%V)xDBX$l&O4eQWzp(A
zwb=+>T1@?VY+(S`Ws*!xiq^p<f!#Yxq?zzWD&p(#KRWEL?TFJz)dsQot1SXCOlU1}
zmb*U7gcJ1ZS`!+&(48RjMj?_3VnVl5mSjvp%zrDb_@^!`_If!#UN8c;wtz~~b~c2O
zt5-gy=z+`X0pjde1{CmJPYgHT0R0<7zC<qR!Ki#!m?)bLht{0L>kSt0ZFJikaRYt$
zl|=jgOv(UCWLrCg1gyZ}_)WW14SjIY(cWhptqTLx#Zn!zHO!}d@p0?ZgZ#3XRk@qA
z;P}<?-|GggA<iYy?yjRAa5JSXIviC&vufi?<Zc_lTIx(vqAs{ok}d{yD8RYq`3q-b
zZQzAbO0y_M2dt}n)b8X;K;8T;g)2Tb&?>)o>F>vNP}XWj_(<ddl_Zh*5RwfPrCiIt
z@2m+CChMfD2iw@COWs~<E?Yxdsm&#WDs_-&j=oCnTX=Nq(gp7=3s&%(ULTe5j|$Ev
zqFplC0+_xz-hR@KQ`f)H)jAFo5Okkva(+v|@(W#gHffeHIa>C<X1gNfbtfhrT`!3i
zOO{{MKU%;g;)(kun`B^LgUOAt^HRusEE+aVvjC=fYujQP5nd>qr2o|*VT&Ux;7`N`
zkTBs}4%8F_&(<}1BpMmVo#YoMzXJUJwR^{c(HfB1e!1MJl8jYZ$^Jf$0H;#QnhjrZ
z!}CVrdW~T+wgkDKh`!7QA3?sAi|gmv#-wq393-Pgd9Cb~8|Ltwn4Z}u^PT-FD&dDm
z0~r-|eLm*#&<r9b4jAM{SFyDp9~tZZ9~l#DH<c|-n8KDa&xmZs;3KkFTf_p3j1D6N
zgH$b3*ljCjvc-AoQB%@U%K0S{%5K_ee)tp%@_6~Ik~9|{t-e}d(9=f3Tjzsv_}`j<
zWJJF5W2sem!#=J_sepvpj$|%PBNIq57U&o@<H6hCY4*CAB>Y<Jo!(Ml3>ud{MmkCJ
z;h9ty=e%nql<eUR;8rq*XVH&>zm*AKL~h77=6w>nZ)09$-(<ooc2Q}Ps1W`*yeDdD
znuMNlZuUIunb1}>HS2D<7Rx2+Zn0Km+yz&=79SbG%qjBM%iBe<*5857UqQxzpz_?`
zyN%$&uND6dc?7)ic8{YkT?SvbD~a?jF@P!cb?|kD7|KL;uR75sgIn#3=k69U;7n=c
z&v)VCC^r^ZQj#Q#!FmO6vRxVQpxPv8+aU>5*4XzaWUm~aD*1SzS&9K%<^Baj4w9%l
z9Z;ZSBae2+Hg+8TNQdS5B=aFXA{tDGmrhzM;3OCI-#`H!%+J_8b(E7r!gw6-T~|dc
zZ;~RXgwY{l#_G#AA!&3APjXbZRKgpFuL}*h(qY4F>Mj9p5>9Ok8BzVBgnXVcj~%V)
z5dXobb6|yp^_B<8i}A`xvwBJKF{T4gbT8YEPX>=f{#3eVOu>%j^~V~RbeOg<x%Yx7
zi`)AWue|<A!LEBAW6v$=u!hZ~-O-jqbFa@PN~J3Jar#=BA!pxa1+~<!t@7w9zc2sQ
z5h_j}SYvbM3>{9Ku5#}RRX|P3;Gg#zsyMt-L(!_F!{c|~dHc!~@!65*%>&<6(P5sy
z{MIizyso~%;})cZyZr)pn&zqDWRdk>hB*VuzNd5yNhqW6tKwZF&g$qo^ha9g3InRx
z=g$1CQO5owd|#4yXt=*Q*GZh$2ntWn4mj_mpb1OgA~lzW3ft=5E{7U{t4QF_&^ZcL
z=eh;UuhT$JhxSD}7l(_}Cp?SNRq$!dLHi9iHPHQiKu^mBCd|Z3z8=@2VsfWOpx}xI
z5)*x$cj_2J1M$mEY9ke2YyJqmZLW#tU7KI5>o$h^9bTQn)~cB1?`~SZR}=a2!^D)L
zOu)m(Xsun7DuU0Or&cbSs4025{DuJw4wy!qIiaJ5n=H&u&~!9$bq4Y8(_t29cpAO5
zN>;<JR;4GjJ`J>vYk9i=vMG$`$!$;WQNsjHe^Bw%z@w^v{wHK@1_^m(L7t-OD4*=&
zqVbG|9eL$vT}I8IFyOzlY+ZHy9CvpvfscmEp$7$LBF#bM$i@A$#_F8^a;D}5RUPAQ
zr@1!@v4O_*P2!uDI`a3ljK-;}p?Kftrz_EHI2C@cXL_|d#vgb(ZYrsY{BgxR(cjr{
z$vt3a)-yG9A2mA4H>HBU%^vApvH<Zz)nT85)bMd?e9g`l3VsYPJa5JX_<Z#;!9iFJ
zX~#YKZ)PYXS7J_%lRZGCfL2Lgsw#5dC5%WPR>DG_o1r#a0EQ^ufs4GVSoUyOr7BJV
zA7~lZMLGcZJoegW=}pC<Qz9N$_Q;{Y6+BnN0(gGIuQ9Pz1vQsNG8VVXU|D`_dV>nU
zm=c4lo~(i=;?E1LIYGiSnQTe|4}g)6<K6-<3XY22{-)L<g|nh5v-|4V@X@f}k6f*c
zpJY2KrY(ucX3f_5?`4C5_t{Sc%Sw2`q^>V&Rsub0^8=md%|Z6yq<qPLN|>-|V^4OE
zINEPLHo=!@4pom{W}Y-xMD;|&rloN)<h{O4+g{onRLri%x%`sHtwFoZ($|Y&T-#9a
z!yGdh79ji)tdhf$dwTzxuMp6&f#=IRiWzLlzPDpdtSq+Y1ha1H5-?mthPNxv6jCn|
zGM#*7F!z&Zs8Nq74nB9!d9G>-v(22w&WDUzaT|iz8KPLOZ(d$nzyj{G#W(jxlF+Qt
zoqX!NDE`U3xPeV$f$y1w#J)Syc<X6F_rVrXtn9FfGAK2H=t%eHTc)M3)YiX%Pnv*#
zhv12vt_fH!^5g5xQrNoDn!<mOfWn%J7NK><&{18h_+K*-lL9YY-1?M&bqj|MKiXgn
zvRm6up4~!3=BSeDX0{lP5kE9;dc_3!Xh#>t8A&|j+g4rME{295jBTR!GofE-AG!RF
zB(7~sRf{_;j`MG3LaS$upphmje?MFjrAXd7TqFrB%6c_qc-{!Em{!%c9+E`!jTLLJ
z^hn@m-mG0N>y2RPSip^)?viM7(kbm<u_V5biX9Jn%>WCB`|D=|B{6K7H|=jC5pP;n
zW8WzT7zeB9)2~S4&7XV6;=`q|>_cJPv>F2@n<qP~yChL~Zb76nQX2UVc8!UBqC-qf
zw-H%|h+L@z!nunazJ85q%D+elZUI#qDTavU;Q?!@_sID5_=Jw)E;^jvvrzA|NW?Gg
z3STpS%3#Qjw4`}OI&4-foBR+Zg{K|}kN42!P*Y(@s`i&5NDRw)swqh0mDB!(m?V#*
z2V9Q~w;6K!O{+!e7t;7S`|A3c83kNYe4S3YZ3w?rdH4G!kx+l(1NkUj35TWXo7Y}8
z1XzOdUN<skr%mrRnODL$<vcDsQVgM=tLqJyr3@NNv?*hgGJcVmWS5*b1V8DAUHh1_
zc*5jKreqog$AfDQJiBHHpVGXQ9L?o0z}t;`%^?-cq#G?9t~CVhT(c7H9rAeA|KWLM
zQz`}ya%Eb4HUz~NY-_hu3i$4sV^$=G8=p6~XK{(sA>HDoqd<uwT8Zlz{}@+APc1`U
zaH2yj(?PZ{Pzkjv8$};JQbQw;6~E9zI?VgGC$E)O#)p(*pTQ(`^lWvs6BJ~CSmfq|
zbB)S4wylEsaSIJu8Q<&$Ll_Vte}FaQNx{L0JxXo78o0~$e&^0b2E@1JdnpoBFn>rc
zGOSPozv~t!o{l$yV_ZtQrFAM;|0C5q-ar$BQUniXsxiS%uzzlwD;0N!E9Lm+X`;}6
zS$p@_On7@%dnJFKisKFG*-f*WD9bV@kYbEsV4&AiIGMw-Ke610RJ2g841xkJOn~ZF
zSN)u*hDY`bK768~g)RE`e^jkz!Ec>iyo#x6_<)?3Ez75cU(!71Z#-u~VdklrO$%xm
z_)cN6uvQbP5dZ9Usww=o6yNw{vpV*u7p|Q!(L|+YlZ>UUX0SIcjmk_>$6q>zE^pE`
zaB$>!;7tK@kkDWz)ZbM{YbN{1gJv2A{_pSAhH7)*OV2yj)vS&?<aE@}z2xwJu_h~b
zGaHUXp35n%Q%8zc>+5|DYB;xSvV-!D4O@He<gKKtV@H$E`jiA!94fA@f5qYIa3#fu
zwN)J}j!H+X*i&&LT_rYiD?o9J=qLX<H9Wp$eeSh?9N*4Mdvy8%^u8&#-yWleuMg@8
zp1IB8>!8R1m$LvkqR}9;qKbTX^U4?ZDPfIq%$RE;K;!>Tc?Wr_VpOKPkRD3`t#x}w
zJz@bK-qjG;|B#ArmnRhFyJaz8k5MuNbJn+gRYzDu#S%V=(BLdGa({RqJL?KivQ8qc
z<3APDuhkjNN|MHgQvcE-j*pDGqujgVDQGWZxt&x)#QTSd7gE;(Tr6Agf)-`mIxm0X
zlDH&N4><O=*RkQet<u;mhyN_4m+=!t;&@{ER8z4%8&V1HjnYk(kT}v{b~IQFMGgiM
zrr(+aYwF?0j%5Wj<t?Eao+cpUv-6RBCv(U)HDbNHAdl_}+w7J1iejUHQEO7C8LWHY
zaxk7Lhx@t9&mLA2!OBfM3yjTX;2)pooir_j6l$a+pY2*)t`bOFY&C^79vcsjJtpI<
z)#q<1b;9V{xg@!0ZVGQNpLs?pC1I9B-cX&NFxDsf-qNUJ0d2Un%lNi5P8^92z3eTF
z2iEtPIO($BbYZQ2d#e=g@261S-4MpSZAawPIsDh=GB_>umxyNzG%cIfuEkK@`qA|?
z6JYia%gfjkk-WF-(!r9oC_%kv`K8bp7LIL&tO`ja8s67Q2o%A87L6}UH97s#hOs4W
zJxLTzK2%VDNEFEj4rdHiFyY>J7G-z41P)w{bt19}XjD1gK4`*(UA)(o;zA|xO(>7U
zfzJf2@m(bRcxD843w<sMRucHYcA{u0Neuf}S?h0eHG=8n)W%2^2^3N`{Or9+9Lal3
z;&)9m;Qb%RemSxP26pc`dRRdMCr*73+nB-tZeG1>2dNS``=-5Ra76-@1jX4QI-I<l
z%6se+XZ?lqtm(-qNjw~&a)bGf4w*iK5fUL1SYRLU>&b5-+BJOh8i=C9zopLF@@CHY
zW!}B06p+T$JA`MQbUF|NjN?6&B~eXN%1%I=gek5!Y{GvULUg?JpQ#Iyn0Wb8m%<@3
z22YKAcd9UiZ(%Y1S|lP~cXGRHUM7P|&bF4lrwn0fZ~Kd}3L<KoCM{hOl*7kDRM+eF
zhR|tHrY*Kt3JWI`bPP_)<K4zg2NM-T@P5iW86hW)My>9w!8rvKXuF#1#K+;hG-JE;
zPicHHLir$RrGy8ZUi1{q7y#dUdG-7*5^`rYN5~SDvEv78+plp0cpLm_Y3KzR<=Tzi
z2Yx7Hd$Q{9<(~#%{7yk9_`M7=bl+)&bWl+53*&d;DnmGZ%su$&j4T?L4|11Pso;UJ
z;Pw^;L)cdF!b(zE9^1+5et)@2#XVD}tJiPjj4#|C+UBN!8|FvSiRV<&>c;ris#rr<
z^<1w`nd60$UHQLW_^ToH7)zV*))20qm7d-osf0Q#=MQ2o>Ud_cYkqh=9S*2XE3N1&
z<74+T%SVi9`2E1;JtbG@aQuP2Oxky4bPlnr>=Dtx^ZO?Y(?|?h{an~RIG2Ljijk%x
zT^gvF5P37Ekdq@w2DBDu6}+Pm^QAUc6BF&Px~;V}f^N2Fo24if+06`B1w}1vS4m;9
z=8T~DXL5f~6BP^Y+ETkNYvGoI_n%y?X2Oe>>h^RWRs7}3wW?rJ3&WIeB-8$93{5<@
z!}8av;omQ&=?`Srp?lD!-5a)=04ZZuB>sjP8v8}Sch0!>*M5yM4Hjha{4^6)RY#Sl
z|81Kd*Fx_LE#%v)P2uVN=Ub&Os-u{e!nyHyE##&+XY&o1g5N-xb;YDQCMVX_9q0H+
zrhH7!ti}wkyS&|Jszbv=LGD+&Ir+kar$4Rwf97Dp({(vx2Mssvn|f+ts)6Gny;EaG
z9L`7Ut<u;_!$15xw&W<%@TD(T`GY<-Nbt@G$=cCyMfTSGz5$Mxv_)F&jQ}Xye^R#)
zX;|MM`_4R86(@`)zHbTu5Ds~FD)5Oqwlm^wTFF$boITwea2;UYPE`Fb=l--biQ>Jt
zDCk$P%9`~M;Csh?36X9!^s`j5v|6u>tvze5-FgY|anSvPudy1czTQi93sb}%Yo$)o
z8-T<wy4Efn4_QS&I9hvO4)2C){q$-D7*Kq*Z_jfoy50`BT|kw=uXSBhMdbi0b~J5+
zRa7huxmI@prBV6Xnj-ZSfap~|r0eTcP%?aHm0TtfbvpJv|IdTtuiL*|Y<5tvfm^N5
zx>y2l?lL$MuM1GW|38(>A<9^E{5`AYuNVf3CDkWRvVm_|b9>!Q&iho8dnKAoz^q3R
zQ^o#lD6Kp?@jgcps|m`h-_?p>Mybu{y9slU8|~c9;8Q>yf>PwJr^2XW8^49&ZVrP#
z7mviBk;4;f*u+nkLimaNckU*~3-Wa&(i#z2{QebL<tl6Nh~}f@3JWthMbUF))R1v^
zD8;UAuOPmysx7OiFa<X`iG72CB-AYrsAY@_pb0~3p+UhErb9P)+isRd`O$mh{*3~t
zum4HDBAEp{J-BlzR#IqR*_D$0Rsc60AC&rU*#yQXqNC7>h+}f;J|)V6_(Nzr7uDYc
z{6x+aNkvN{{cE&<PabDqQ4gD{VPnW0CXwDfmq4nFLi2T}HOOo^HsQL@7<{efhQf3t
zaPLQDp)p+{taSdw7yO9{jww0ahwg~upVZu_7y80DerjTigDVq+w+{?;TZv<e*=FBM
z&TH{q=58L@ej|8zMfD~BtQe}vyP7)ZieTf>gHmc<M)1)^<}AHY4C`->nRxIL&`QdF
zyl{pAhck9eT)!rUuUX#Qm!A=kNa(-z`78rW{_g6_xFCj??bR!*IP-mnxc~9VGT?Do
zQGQ^K7<Q%U{(T!Ej++GE>^NM@;rz8G^@>Mg*wov%*X9JLj={9G|8e^H(cFx;U7Yjm
zc6N#m50S(zUVql{E*nD4&mI2JAdb(|>oWM$h?wJR`)0hv5Qq%7<)G{0c&nh*HoQR!
zlS-asA9gc@<rKTfQ{obsHpljg`7MpNTYMBJNQO}TU3Qg!mIMYV>`l05K}LmC7uDI1
z2GAgGALVE$iD+(BSez$=vVCH_V)+JOb)jEY;j1JbS&C76BqN94om*;pPa1$+bLG$8
zd?NbY`ytEBmq#Jh$a|}I7=V<93gJqa6t1Dg{70}-#6Lx=%N<M%VDpD&C08$L%wL`K
zF*sBSyXQtWhiVx>J-A<z_9WrB$;mrs-IQ^}@8O%1Gy}NtX)L7d6sHea_+66VKtY?_
zi<@=y4In@^H|k@K4AKH^6;jPrFimdbz%_dV@ZOjgMeUKrxI?K7mN6AOkNE2~A2)!n
zeMzcaD)K1J<|i~URWbXHwnzb|uB@#Rg#HKxRQ*yr*lnVQxsSOnZJ02C9V-sC?|vv^
zQHGFrj;T88Uktw+Ze<AP+9N8D)+nLTKP~k<6B_<j{u4(nH-sO~k=b`oD&xm&V87JW
zzzq4=lGb%}P_i4<wqa9nMSs(+12USpGh@oTqLB`lnA4pgsDcg;*76BWYvPF8<fV=S
z4DfyGy5ifZf<xLJ7iTNAP{1;wF^$9lVo$w+8OL)oyt!+qwy(p46fEl>FoIzR&5Fjo
zs`zZn)%l_~>rifrCuXLe2`KYqp+Z^>cNH#O`9WQe3nEprjyc9~{%GK~i%-<hD>l4e
z*ls<thx=Wcl1(6I*QS<64|U`}VYa|vtVg2u!Q1~uvq0Bca@dc<{|Kv|<0IqiFln$e
z&N;*s<Qa3mBJMPN|I<Cj&TAbWPR+a8ddv*uYO)rL@6&LiW0^aqNDG5n==(LD%|XES
zxq`qS8X9in*7;YdiSh?9LdcK}_fx}mX-a6I>(ZLIO>r7naqxA&?mspd*`;R^Iex9B
zFD%maX;_%wmOSSK@V0?;O>u;V#f9Gu%<I)KFK?ex6^H+kr)|p4=g{!}AlVJ5s+cfy
z*>Ug#fU34vPA;8>1omRnn+O#&n6uba&a(j;&DLBAEK|ovc{5$PJ<2GmPkc5Yw*ihn
zX<7a)q>e(!pYnl|b7!_2?tP)U0d95rj@{j+hTb;orr4J9`13*74m-sSuz2T~<HKlG
z)Vi8#>S8N{|GbhurLNfk-><cQb1k6ag49)p@>ywAr+hTm90gc0-}82=Q3daN^Ojg}
z6R~z1t?cmwfO{FiOD|qhaIW*|ueDFbv7*X8O6nXyj-$B5O0O~|dA&<~-bKL1#uo7p
z_5gV=b-64ilrS%Np~PdS2woFP*Sf_AkZ~eC@Y#wYP8d)I-=7!4U+a@{UjB~_o{6k`
zA#?@QHMDqXy;%^$!!9Jf8!-ohiFxjha5?;Rq4d_@bNrZ4_f|D&lQ|SxN_<r4lR>9t
z;Q<wWK1?CadOxl(gSp|>hKIYz`1yUSYxsuMnDr{#b6(sGh{tU_9ezmTWgo{!ze;$~
zb5(7J`w3HsBAq8H=Srd3z{%EM9=v#q^6&jz4-53FKI^UaCt|pJ!0ZcmUR=4ipLD{U
z1w2lZEsXt=DDX@E$cG$W)NVLm9avxjvjab-la5KCmXUEvEMYa~r)-Jw5;K9L4<1$|
zUlzyUh8xOWm8<c1V5z|EGsa+6@Jv5?Kn$HW9#GQ^<3o#agO&IxCR{%~@g~Je49^eQ
z+)47`$AXJ5f0%kPLC`07M?*6KM-oCpY|aQ^@7Su0Kb-&79VB16YA*q6Z65W^R0`tf
z&qZ+~ZbtAez1q%0lz^?qhi#X+g;0ccPMtZ(fL2G*w71owIFrMz5#uk64xxm3$-@j#
z)jQAHby5^lxh`wjF0IAYQudXlGjwQVofE0{62-n*e34Wjia&=%7S^Ao!;epASDlU)
z#q;kU3$3XmpvR}qKX1u&sC*dLe4<ShGfz_=hnI+9<+aAHo*F}#)D7G3B1gc{5YgT}
zW#V{lXS_zNlOZ&QMJ2Kh6R@Y{PhTh}PyDhvd|K<D0VHR(d8%-{<u*vT+BPPM7q-%>
zsKo|QG&rdLizSBt2LJ&7{}h;aG}r$Z$8ECr-t%L9d_MO6TqG-@qJ%_5JE28L5+$o5
zGrn0BrBr0SZwO_iWEM>$G7=%;=lAbD_uO+{_ng=3@p!(hQ>tb_Nf?JC)N2Mkb>OJW
z=Y!ded}wI!;mfCB5iF*a^1T$%fqTKuGsfQh_?D+MH@i<19c!(Q9v;+&9213r-`oOt
zrITr8w~IJ_O|b9{DAb0&e+4=J-U*;ro!?^j7YY2~)G+IRRvY|fM?PoW7sRYt*|uBp
zQs@}2Jx1E44JQx(l^4tq!fW(&%M-RT$TaX^{xVG)%DC`Jah5P@4crauOOnOK(-e~+
z9c^fv9`%i{5JCSMhD*h<a+q=<TK>mIJ+rd4_U&g;BsmRl+7>5|uRUK$Y_ik_qaHq|
zAO&$$1f=#{S3ti<7w1;@YQw_Ju_D<p30xC13+^daMC<$)x@%XpVZCvjVcVD_D(wjz
z*w>(hQmr&~$Jg3WE5O{s79fp3i~sAI`mBsGYD=BU5;|Zk_WR4kk_>)L7kp<)N5aT!
zs%n*yI*@ABwKu9m78MSaee{!5#b*QCiddI*;6Ttd$K8c;Xv)*)dX=JvDrbzA#xLta
z*kbBFmuPuZj!n#zGyq9Jw!cuvKkgBa`Ze?*NJ+rJ%~t_WrF@a9RMkK#Q!L}RF+ETi
zvt<8lsfd=FCTR}znke94yL_QaA3P!#m*-@a@GpmduiZ0Eymv2PXLybQ^mu@!?6MLr
z^qxI30c6x56J{+p48dQ?QaZUs8E@X?biR^7M(2iizm8=YL5=hMaltqhq!e47lYdS|
z31vmAt7XP;!X+lgR-c5t$K|~`H~J^*0wy;%n?O_a1^p)-B&;~(AmDC5#+?lxzs-Cy
z1*fRTAL;E?F^D9q*^s1(i8ID3X7gs?d*#GGonlq=uFHrlxuby%a<5!3u9`#Z;kL5R
zUsTb$&s8%1lsa~DJz*7}qk+Hafb^k7RdjZF@UD?t4P%>Ke|QG~<S>6?(;8L9?ZNf?
zy+TPSE=gmKY6h^-DLhnGriyzi(pfJ&RmKNg7ynudTEKsTz82TFsUje|V#fzXq;Ngq
zHg~dsV5>cY)vrltye+>aazP%|$c?>Krz{})uyzl>5((c*zB-%DBZuFAW!b;JVgWYQ
z|NKLIRFL`CQ6c*y(s-bDVwYip1?V*L1s;h}M%kOs-p`MU<MBdUf6s6W@XW7f{+FtR
z-?~K9M{bK?d4JQhRZk0$b!A`nN>xOotnArscLY(biY%Z&u>f&~?QM8j0q0mf?$0mr
z;rKS!u!Ti{Mq5c^sWbA}L@C?NY{!E$;W?LYJOkKyjLnlRP!4CGQS)rJa$o{Q;2ixi
zfKcZxH_|<1aekSz;NTxt+_XTw%_$2|-WRK!TPlq<VXPPanK7f*l>1m(HVsBai#+w7
zN#d4I3w<5JjL7HxHBD{a9D-clU(M|o$9vPpOMJofSatNjrcHL{Fq39>++RctUqsll
z9^Ooc{?an1|7M#(^yEq-Z>R_=^+)b;T3#atPf|Me{W1lSEBzDjTL^UxJPYqgt`Xt>
zv4Y!dOu;YXfzI1hL1YZn{VG2AkC@pN^fu|X38Z30{PGR~tnnZX<x8v)Iz_aHb$^Y4
zMbfkXm_9$=_1>$v-mykZe%jG$?QRUA)$&{yjQEh_=EWBuKCcrj8k@LJ*BF8Gw|Xvp
zPhKn?vAE)PhYm>=_3z{5jG$UhxwyfY2Py8J_SWa<@u%xzY0*_f@LMu9JF&=xZ25*`
zD<>H6;|rUYlgkDWy?MF5X_6BkR^Wl1F^s6G!7CDU!~ovZ&#LkXapHEn_hs^rnQ*)&
zGuPppK6uf&ystaKf$|skGK(xT<0(hAfuz0qAigQ!oyRIWdaY-j{BJiaW+|lC>=@RA
zU$<Y9A3tTsxG?|yLtSjxbFs*w+*c1oZuq9PWU}KztK#qpUv@Ng*t6C!sSDXg@|-{J
zvg00;0a7$KCnht7{dsU!7j~MoC_VVXjz2fol;!nuVe$7y!(2{XaN1K2E5L#0w{bN*
zt>wWysU4#Y1v>C9fyTzr!htC(UO&%$;YH^ws#kVf>Og+>`&0<##HtHzc0U&Qusz!6
zV&RB3oN6<-j<nvG+r2ODkE8%DbMRhYP1FW4o~ZN=Gj6PKa2{sdEr<@r+Nt&C+90f%
zh37qaaM-oyNLYywo+Y-pcrH-k)WmQ$j|(r3w#puE;Ss@H*^%43E2tpMnz3BN%7-&8
zA<t}*M6qO(&nf$}R9G@UyI%K>4?h_b`qm_IRM#EU`(#6f&tkO?@*nf#nN;C3Uq48o
z%!{*=A7!XO>VAc5#RAwPZ_v(mUkc~GoI0z>K!p+=Gp3*lLHxY#V(yYAgAV>$VHGnJ
z$O#EzN$L^8g@<)6^PRGIUhPIn;SUPrHl#fn<`%()l6c<A&vMAyG8&-wivrR0*0)-`
zMKNNj@cqcTJbqLmDb%o1;q|)rj_6h~{L4He5u>h%CcdHr_sCSJ>!z|X+ex6RuQWTm
zuM&n{dS#ImKm~GgPtecLl6Zf#ipw@%8LtiABj}${;llW(ET1H4jP5wVXE&;XEV-M^
za)q?v$a8bO2vu2>-5I*9tEq|wQe7N#*R)|~o%QuwK{@1#?i11vQp5e(lT&`uI*?~$
zeO-@D9(T@JSoxQ#Bg4>qu|(?z_chA#IlTg^WTa-k=+nUT^VN&pS9L*?bL9ERngTZF
zG^H6$Y9f<mLt^zoJ@_DZ>_+LTBL0j`G;1Fs<Af{STT>r>U{|IY1S~4yv&Lr+TMM<2
zoqy`uzzGA$G}deFolwT*I9lQ@NeUh(rKB(1G=#(j9TDw!Drmzu5+-LuLEBA=b=B=g
zQ1`C)FqDw+AW5;1cN+yiy*@U;#%lt7a{pOg3{b^e(PuK+G$~kRlh7XJZVHya<M@uV
zt6{!Ff#8=GEj(Oc`Q~B185o(@D?PfZhWn~+viW@?<5+u;;oi^Ya3{glDPmL&8@EtZ
z3<@-{BT}d<k_F&4yG7$SVRf9ov5CB2QUkRVL)LSW01jL0{Nxi?N8j5oY?@rukdSY`
z`-0U13UG4wt!XtpeKCA0)`f(2ulzIH4{vbcSHSd@8*1p={-(%IT^Wb+&z+BcZUJ%J
zcNng6ZS?c-ef~G2fPt}T+wRX;z(L*P1&=*d@v)Kk>$36<z6@!UOK@9)y?L^yUn~iq
z_t$a$_g5N!6%Xm&5we8obU{1jWEG4oWcYfwMI3Ksw@-X$wFI&A+(UOGm2rHmZS3o?
zFe*0qT#_5J0F7In2kSkQu<*>Re2KFFMtt$BUU_N(;qQkgD%2FQ)73k}P=y!C?$~aA
z+5$ND+^(*ilSdMDa#uhnI})$@wv}mG!1u5F1J6B|LyyYVpdncnoaQOd`0xS1VLR<O
zYm6*rN$#-yWyXMy4tA^x#{jG}?fSl_Od6vu>ayITtPznS8nwGg08D!)XcGq|@tj+s
zfSUO-QBrIldFciXbiT~7+FFU@LU$&sY2*TNy<hS1mR@tnDa|~UY_{Q@aj|f+V~z-~
zvsPRYF^BP~ch)yNgt1=j>X9JEU&KH>OOc9)8RWPWjxgL7#BK%Vim25Y;;A6xiP1b$
zaP!?6l+GrA(lRX7_NFt0icitl>JJlmxjN-!eTxrE_fPK7Pn;pXy^mIy(Kmtax18R-
zj=UI_ODbO6H%r(CY)jycGluk(%7RQsZd_WrJmInH7x5-f|8&Zb5fnM)D#>i&#2>l&
z22mMvgtbBQXuN?D_=!HLpO0ck_wUg;6Jqm3(aQEV`ZPm$_%Zx)#9ubF8*ycn=v*KK
z6w)*omkgkp^u(L(AuE>q*gEJwSR~{NzCQ5XX8^q{#oA+;EXegf=4tVhW#V8)><i;|
zec<cAYLQyajEtotts_G##00~x=}^-R4^(@9>=`>Vo~9Vw5hkq>t<^C{IUnhPl#R&w
z&2dav5x&d*s2v@?*;-(~tf~iPCj%A2C`@>cw;?+|i5}%#cG66Wb)lrcsbPwa30r3)
z4(u6Yz=Y`({~nSq=xW|P9=FJd42e5ZoVGI|<x<Arn+H1JAv`jk!q0?K>GWv+ju{VM
zTk$hA(t)o1Vr%!EnUJo$-q7tJD~9y4Ybdm8gIkJO`@3=`45>cn%rCwP+py&7eUA;F
zzx6`NLz@{-6g0il9b?A>r3bhcepBH<;4|OZ_sm$e1|RCWIq{TJd7?%N74Ek1H>KQS
z!Bnl|*G9f_W3%d?%y=Ct6gMnhNIK7oi`^<L90|Pm=eP%*^9KsB@(*6Q9K(kDe=c1(
zS;L1UZHB_PaTHjZ@*4AbunA+wKhVX}3*f8qp#M&oQlO4w_0HA}UjG?k*{iir5EVB~
zxLHkU!BgdHT$RT;@otHUg7<(B9tg-jKXhCRRI(Np9oV_?(%&ugOvgp=M9ve3d3r6l
zkXBnZ(ZPc!Zv6^bmlwmWTQ{9#EF{B>$PBa7@P?nXc(n>IisR32yQ-!=WZ<JyOSk>W
zhj%U~Mt%AziEU3gbPSZp5cK`)X*zxZjP?;#DPoqvkEb8{6|s=vfwxZC4QD}I`qC(`
zk}r#MhX-Gm)04qhE}35Bt`OSQY|*^=Rt{@luFE)zk%6C;Di9$lg8ZVw+eQQwFuUK`
zvBQ}R?w@Y`mwI0m`D6lG_5~<n0V8|q(0ww9BwL^FcN52iP{YLsuaz+Vz|Q6fvKIX9
z5jc8MS`u^Ay`{=bRFG6YyLIuS78FG8tfpg-#@)LOn=L9y7$eqNH{?YD71@29W^}Tc
zm=k_q(?|{D57PGC8Kc0JBb0mV9CCP?e%NfNMjb!3yd=$Cqe8IML|~7+JjR?2dPg(V
z#CQ0<^U-!~NIrdy?xCduu1t+zy<bSiX^vM`9tJwFhyJllYoH>&w~}%0Th>BG`mwTF
zQ(eg9+N_Y8qJ-qG;<a-(D7eXCe5_)_uMD$}#1vL3qwaQt&~<()-fe%L_N`bS{%NJ@
z*7vJmU|Y3AdJq*avn(zg+++xj1&%jcCP}E?yh(QdT`C6dRp_`AZ3M5s?MYglP{sE7
z!{?ZuP|-4XM>iXn30T{iQDokzp<1STux<hsnHTEmC>!sR<jsP~)?{@YH&6-lBU8~W
zg1LlE+Z<jF*(<*#X&}$Il+n%%3i{`nlsZ+?VAx#4zcG0uFRlDaW6s$)S9kahnN)!M
z;xW>mMh&dkKfu_u!8J%d>r$a_0j0S@=CidL_|*D-SI};C3<x;LwyntmrZx+083@xr
zC7v7f``Sp@Bx&3>u5Sq!q>89F=rmBwYmc3xpfX0B7~THqswI>U`)z;YsE$I+lb+A*
z6)?5@r?*6dC8Ykok!c#JhQVEp|6*fhks&Xlkblq;a?Z`Knz*SVCC1#%__+l7zZ@OP
z=&^)|<EtM6WH$0+e?CiHtuV4Q#}=elZp^9Gf5qRfjHzMls-aYVv<p|zExKq4wsXDA
z&3;NK9^)1=;lzni4#K4sW|mMtVfD1*mjZ^IZ`-fx%#8oB+{rEbVF4qqYw;h>$z!JS
zzK`{-YeaoU`DfZy3$R@d7HwjYLpp)IH@O)Xh_;&g=(|c5aQ3xCN1471#u+nDu((VR
z5@WCHifRC^a}M6mJ|~HF+eSxwWj+!SZc=PVoB+6oS_=w4i(&1b%a1hN8;QYNyT|vu
zq=7Wc3Ptpo2tG-(-%eLhN}J8OrtC3g4sis-mea~YcxOwCy3TAXttQW`_O_@w_<qXe
zsNxX7`Jv)_^9^rl6tVb#UAAT*boR%ai_&~(eW?x(D7~jWRR1nudfpVSKm7Y^ww4=p
zZ(Hs3H+oO|Cs&jBsL}-XJjy6*y}^NY^L};S(eG&8-@IFg7mZ;~K|p8`*>L&v)bN>)
zoiufNYWWK@V_-Oxa+K4I1<NL$y;pqDOuPL^NZ&l(2)ISOtGSt&aPm8&?W|xmt+8N4
zM|IE;IJZ<?e9p^&{hi~dGeob`Yz|CtIa3TFY)|BuaxXgExZp{<zCI#ctWUI`ziI%^
zm*o?-xBVkh^N+`hKW-vam+jpmCiS7gHC>OxW`!{M^w7@Uy^9dCZ*rA&)`z%~lw*U6
z%LEPz-_1VMyRof@I{MG`;6g;N)iaMpqQ7WcetXPEBDQ1xY?`tj*vAaEI(=IpM0uNP
zg13Jm#?H<3OWe|hIF&lG^pkm_z=uy-=D>HNfE==1z@-bjbO`hPEx(DWl`Yg)kz+*d
zAh)65WgYnJzUPaY$Zw)cVqcNooe5&|MRiXnCLI|3^hVGocaAXc?)YufGey+bO}o)9
zX~Sv)_i4M`b3|u)$HdsRS)x>@nYU|`Hdsa_JB3-y5w^JX-Xrrlg6vghH@m?jYc_@6
z_il59OUNYoKe~D1ddK#}6e%jav0t*Ezd1+L$omSF^eqtAetTJ!lv3a^o&9#9e{%#W
zYxkLzmPO*F$*UH18U-er!hWz_{Y_+lI0sU_%S3R++r66iv><frHeE7po`{oD**(Cr
zN=V(@LGJuWhFa-sjz`262(=Lo3kUBtLftc3&0Lra9%DcBHO2oB8dl+3PoAX1Qy$Ng
zuefP~yyoLS?v{&0LSbHNbtgR%#Z3ZjIT|4T_s{6A>q|s-{BF8T8%8|-=R>l>Pjygm
z9nfOs`Ab~#7j5+W%!Hq;7v-8Q)WPA5j#oqF3K4%Jw5c?k1-rsza~5*dU}f{Kg}urD
zh{nq@rCXxd@M&k@bv7n7_~=iWC1<Y_PBLm|wk5Hnp`_2qkswtti|7uxFhhsAOmSP(
zJ2`RpV>_18F%q0}cM?h?Ghl9CPJ4<4586})v!4hcL7_#P6kcP*WbUd!%SB$i@=iZ5
z{+9~8wRU7G<6*`ftzCYqNBJ>ic|ve8Rt3W7U%YUvWWiTmk1K7M1@UB7<K>?u6(GXm
z4)tDUL!K+}^J0S#Zi(hPG}NyQF=Cy*wK43-_dqzQuUG_2DntD*-%<u6ovSAwKjK8W
zFXbsvC5FD?l!~>3$}n;9N?$%d4`!xIX_x+yz~QF+-Wn%msAJB^eAB~=4?k{>9PpRM
zW1a)C_qHm7NUzh%5#Zl=*IwQf-SFt}@-$Z?KV>ivp3<^x6TnPzz-r5k9Bv@a_F$$m
z{P-_M(EW@MMw9AxN1al@$nFX8kH3{6d|Pb7O*;`JC-a$5MV0V;R=V=1P!&*SQt(U%
zF>G3~S6%H^#x*8>p%cm^@JLf!N!=@fGnFTQ%oLN5f%ppsoT}i&cdJXLKngzu#<5l=
ztD%0Du;)p#8tk|3vpCNti%aQT6UOlxDC$#txb=oQJUi#*I^-gUH&>PS(XNoud*)#8
z+7?YX$C#&7Un-Bls-?fanS#06D`Bx)wP05JauXq}h>?2UcgD@ASn=GA`m=`u>@i(K
zJ_$<rFt285RYe<7OjfT`R~t??+lF_uso-c`R%Q3HHr@(%5AA5wfw*A3?`@YzI63<6
z&)pIo6u9J?+i*b-{syPK3SCjf%XHc)og`f}Kd7JEf5-r4x7Z1s*{6<cp{-N9j_KmK
zHMw!+v=IbZ*A1%N(?I^M@s7$H^^ES4(y&|;xEDCMb*fzxf4f^KE6M2MuKh=}S-Z@j
zv_UlCQ!N>HmZTjk3Dd!3_qTz{D>N{ibP7p5riE$8Sf@&(weiQRA1Mkf7ErcL-jcar
z3p@9^uRJlN;={p^n7fM>aQs7x+s$8Exa1v&|D3dNLR4*QSF0t+L||0cGcA-~Q&;RK
z)G<pfP;@cK3i9k*q#0DSaD3;cX_GM(JbKN$lwsNmgbSa(@U|vn0)1WT`bMr){+%_~
zXS^9)U!9`0iE5(%l!U7Rqb&0F2{r||ZwAd1PBFUo)$yI?s#MYyQA~`t6nApm3^xg-
z>1S+e$fbBzfv<=Ub2}_=sYq@Hs_glqbaN8Ul}|d_(X--6SU|+%b}P`o^7V@S9%bZw
zKJDyCED;p118HmrtiYAs%_D2WyRxsH@v%z&Ky=RZ3C&Df!c}SeZq877)YzK3YE>~z
zn{oZp<#W^$lm@rZ2gl3e=G6jQ(ECkG;tY1(IcfprE{uQUJf!fq%L_SSu2ou<H@j=T
zmjwv?Ogus962qkLEW?5h^kB7jm`$P=KsV`ad+b?ZBo}lXEy-Yn{4&S62QC07*VkKw
zy#z3LIkHDyju~FJ7z8TZp+UV)7enKDUi`6d{5Cx&3sgz3YxS0z!_zg}voTd1*oEAG
zq9a+L?)oeK6*PmFf*R}UGc0(e{(a){EEcdW2`;_%$rOyEPM@00WWZnF{LZ_aV}a#>
zFA+Lyrtsx;Resr_e?)a`n%5613*=Y-dF^9t0uyBG!HY-#5V;U8^rD*?Y!@6TXF`qP
ztI?NZ;hM9AvV(DX^HFBFSNAmFU6m1tZ@SL1NF5;}&#^guW#6cut=ZbmXaqJtnX{MA
z^b(%#_l2V>m|*PA8?i}OL(mm}q0?CVn2-$B`^<if3EsVI^vHZ*0BTPU^>&?YrWuxq
z^}ErS;QfCBFHdqAfXQm^)1<2dG`{-%X{%~XaBq^MTKJ?sd=GCL%rpH)d)3zTt5Amt
zc4hgK4L|AueG^Zismu==zk8L`HV-D4p7AhAchG~*d5wy$%hR+X>4c}J?l3_v%foUy
z)P=u1_680uzi3)_rmS~xF+-D?z^koBy5OgD<kXzvJZ*h4;N{N@W{@iy5#3v<1ANX;
zwbTOs(2_!<tjz6MAVVUtLDpCY=o7#G2~J<4vF#9^bdX^Me<hBE_!rs$A%`F5)c>Vr
zD-7D{iL-&-u<z4!M{SUrtMVN9zDldh(k-+y-2`G(@j2&VD*Q7!G5(%!opy(NY;``C
z9k`C>eR>&8g_q(N`T~pS;P}gCU8YqI_)=({!^=&DPm_*ky*lY3=xtQhu^cX7tUamV
zRz`uX?2GYIOpFkB_teYNM|q%FU-f*83kAOC&D<EX-`LA{y@xw1c_DjNJ#WjR7L4xc
zbo*Jz4EGKD_x*Uw2Sb1Ojvsf^f*spWg}8~b!m?f&GXt9dyqh>S-THzIUp7U3b1q~9
z&D$2HRvv<o!zwIfVoU~WrkGX^XLjH#kFpHx5Q1we@}!Tb3BDqyA_)mjNNjn2#CV?w
zh;a3LEN<|<lkMV>G7fG?_Kb1ABqRpZ%DZI2H4W&$WXYMt#|y(Z8#!5L#39*c;=o#^
z2FTtB`&XvT2jP<kruR%sf<(1SOlPbHv}`dK?m5H{Mw|7*h6QDy=1|-Axg#3j`{pTI
zR*e9xocW~G@<<kp9DQW<j%vWzi=tx}l!ah`wQuFflpN$ABy}`j(SYch-ET)rg`wa5
z@_l_X1rVQqn+LBnU|_)7eBMbEy14U4PUR_r;{1$zk%lH5o?9%q#48SO4-D+=5mE-a
zYvhAI&ox2#!*}4Ek$_f}X>Zvq6}Tzv^iU^+44&r%Lk>+!!Qh%cMNCr_?laj2OZ#ep
zZd#>}AA>B&ONaECw5UPc>g1s0W(v5Ey%ByaDF<EM(!7`VYk*3i)L_j51$vJqol>`w
z2fT3F%<iuy^xiOVAhl9~7JhE=L9hbcwdkAwdqE3~#`6kP>$Ks;a%ia2eML~}c_^82
zngSQ{tpYlFbYMKkDb{#Y39LB91onzkVZA`3P>5d-QWH<97RjhUZb2pgpZx#-Q#8}(
zozRC4G3KAIT}V*>xzZ<{MH_Z-|HyZoHUJ(sgxOG4@N8bX9Rk|$nlNfxx?}{rv(aVA
zF=~*xGveZQTWvTnB2-~Z*~pu+J~El1>X28pE5<}r8~nU_YMy>Gg;;r;uWg_Kdxe_0
zp_B?<TS|R8Z<xcpeaIfIVGURfdr?GUq{3^N?`ysi0H$d>wC-&1e1@YVc3GMNJ0mUl
zm4*RiW5SdUhiJm_2XE(`*vXI;(b8g_u#u;V0;V7D*95`1EcxDWb+AeZlGKp31c}Se
zM!)zq;o$R2jn<_kNb=a?e(k0u<XI$`OI*|d%S(?LIv*>6qDe>Is~?tNWd7ma?MihB
z+5Fi0#eI4Bu=V~;AxSH!);ZiwdZq?T1DbvjzB1rhM@m1eX$4WYNJd(*s!)()8|C{%
z3|?C0q}a<^!QWkk^AQROs*QCI)&>cJn1flK%aSE1oZm)3y)t;IeYoBc$OArhk8InY
zTY_wBN2sik5)^1EPyZ5Tg^1G6zLp0qL3gcPS>T=mphE9A@~?H;_T$UU;vANc?0a;@
zMNA$7+n71)dFN@(IZ4(#?pQ$X`gj#{qAbjr=M6-3f2V!i|HR5$&jJ!hX-{n=r9tw2
zgQ2~BGc7AD@jOoxfKB?WK)a~~%uQJ4R`|6NCD(^5(l_|UR~S-xKSmUG%k`Yd_8cPe
zu1jn;BxrD}PnxA;NeJ3Q_VV4l`<+nJk`uW$Y!07q&17h13xHSZMQyXFabhqb$F`cm
z9Ii|yq-vhv14hGUotW$i;(q`D0RR6Kn0GkV-y6qmnb~_h9^-j<tjFG;+sH~wgrcaF
zBo&oHStTi@=v$#sR*RBK#OH3H>?ER8B0Dm(`}zHQU+227_c_<O&-?v4pXmJ;i#07l
zDKw|!*`Oe3)p6~c-Zo77GnLNIcw0c9W&f!#S3Y?0hx_TA;4m5Qkw$%%Vh(D#XOzVx
zSApwaGdY+WB$v!gM~0fsp#DAc!%sa<7}S5ye&2O~6l1d328o$Llj2*)<5_G#XAL(v
z?bt^Oa-I3L<YNj7SO4pq@nV5(QztIeFZYlP&RZH=ADV#P0hZ<T;zi<$XYK0qm%GV5
zr_R)xu$cgb)up{ncaAuA?Ad^*<~Q=sn5_I}Z)4aeJF)3Cb%t=CQkoqz?jZMZjKuFL
zHv$)@`<1LGCy6#hr;pyPWD=)rzM-NKm@M@$z8Q=Y$!7n&dtIBz-K_6Q63!Yzy)FBN
z%IHzTt#Fu-TvttQd+6n@HDv&sbSlP*HHV37f6VVc_AMu8k}ch5b{jzcwp^cn?*U>|
zrP=M<bT0Ww*`TegLm&2C7rL~Lt&f-qYj-*udxePFahGL_t3F)MYRfsax|dM9$<{Xz
z_k`eX|FJ2rQ4iv_22gh&|4FDk-#r%5gM?KEFEwes9xz;M{wvh$CcgivOHhAPLwuYc
zG#LHBgtr4H%b12gh{~r~86OTc61KwQ-bJ2F_>f!HK>hQLFkU(|R&=U`FkdUFTl!NM
zdOs=uF&OM3{8rDTL&Yaz;CNU4_(5GD6Q4G^Id>89^;>2Qmp&7d9k(Cav*<$dIomzD
zyj{fWf9JOUaQI4K_D`WTG#!{1bXl}i>LREPHUgOUoe)qn2<_dh4O&qd9#_wG5$${5
z3%|YGO*HMha?l}O3$_I6I5k*(BkoOH*B9H}L#Qb!D!Ei@!WYLi#a)))i9&+gHF(1>
zV(;^)j+O-meDn(9i?jJbynWT_P4Vg{*qxr3R9Z3M+u1GKzVdVvi@O6im&6YejuQrM
zlkpnh@~4J>&2%?mpFPC8+%-%{g?Nm5wW@<8f7yvEoIQl%o}u#^{-eb4i|5F%YU;3S
z=ru*jqL)~w5fK(}`492qFl+0+Q*^ixl87y7zX+(|_h4H+L3~xzWu5G#!AM>9VL_FC
z;@@P>Q-h*O!a;F+Sg-{Rh^fiPuR8|_Edw8Em1EO{b@|+p_S<TZJu2m~@AVK-WdB%c
zbHHEXlEDe8j-VQ#;-~Eb-$w|8p}S8C6Xyt(DwoWYr&K}7E#*H~!!bh9cxf!{=K>+}
z-q!i!qzdr8y?KuK^@pg9IXT91Y?;tW6>xP9RsrdrQ4?F&2_kmGmW;w&7LZTXySZvq
z8Q%Ik?C1M6NqC<3-`8)z1_HX0ayFqW^@Yv#o3p2hbCMr+ri`$Ia+z<s`7#w$x8Fd!
z^M8q0>BnCdnmNHDIFh;k5*3Cu_)H@6=Lpu_s@GfkxZ&eQ>Ak~hRETbN5s_S2AZ)Ge
z2Tk;OVeh;w+^$jr7vs$Cvh&MC0!zS~s&amKa^urR)gUFf?(yG`rXm)2m17~37{3~R
z?)WV1Dysxrwtg9?w_*c{UB7L4)(HcHUGu(aD+P`$H~mPSVTZDDfzaY*5ilDQJ<7OF
zfnwF9H(FmfA&UrLU;H8lg(4*fUj<NrA|N6pFwPCzE_^)yVL$?SkH?LVI#9sogTjt6
z3tq@yZTte%rQvsn#~Wc23Z(IDNE>*=53=K2>vm<!LhjLpT22cJ6wqdNd7NJjzf2O2
zTDdDguXD7yxd#Q*eaK&dF2c}QqQ>c*LxHEX%K6453J9DSIv_MB0%1X$N;VQy=!t(H
zmeWgtkhN>3PBe-EwPtNl&!RFIc$Gy)`6<DXqOafgHA%n&|EczbE>*C#{t_+AM}?W+
zY{@&9rJ%32BJsly8f+hMzGN{-1y&_y@(~|dh%STf84eBj<RRAkghK^-luh~<f6K$)
z=xy=4>@{K7d9-iCUR8+pxUz%pNr6=l{DxFBwShnMF!4Z^1|LF|X!kxS0qf_mqx86y
zdA8c{;-jWI+~{Ev%YMpGu<>*5z2{8mKOC~*PA&tuYP7#?=TZd@zuCDby?Ssc_kdg1
zC2epOD?1xjrUvoRyOR?C=|h<A(Bp%1x?pKyUnF^)4*M3T7?KMH@X<$$zBr%<MpMzH
z<3<{Qe;-w=y)y*A2jL~g;)d|Augc@t2m=(KyKEHSVg!9!DUHvL8-tBQkj;<tTJZhx
z$IST@BVc<jbx?@M3_Rwz9nNs+z=%Y}i|rvs(4hIP-sPDEyfx$>vQpCp_c6CZ&tHZR
z;=nGu7)Zdhz(=RnJYBH%j8$*!GXSsVu>5o`Yw&9x4>+}?3tvN9hqfQr2R>SF)Ml^&
zzKs3h>?%xfD+=Eln!|*slor0HZnj|7wdaP01QYmH-S{%Qpbc*}7|lH~wgdSN-u;d(
zx}b6UvhOiV4d`jQ<y!Q^4n{9eZ#wOz3)()x@6#MrLCiyRZN%C&a8Nj9>HH2I*!JW^
zw~-eGo>{(aDLlRgT<`WrWjxaY`k_O=Upq;{RhKa#jRR}Ib}C{k<sAdEyA3QNJp_Pw
zut;HLu7P3JdXu(Xby({XMNzd|BogAit)(07AR_$PvqnD}fWm4{>+078byasv-FiE?
zr}TTTl7K2WpXj|f#x_av%3O1;dua=LvL(9~pHacw*rd6agALcM&+7}O*uv3Yp`XQr
zDDbN5C$~)MDr{5{a`%e1fj~I6Fcc&Qk;yab3PJ>M^V7wDA>Gyx=RL#2VJ-!4H!y+?
zjtF7drOf@}4lCz8Ss{DeMGP7XQ+=-76vo1c0OL(h05Y7;+)&9E0=vGntzPaT=yukh
z)qF*Esn-_W#WY^%_KrOr`&<O;)w31$*b{L4QS8O!Qyjo<vwPzG7ZLPoT?e-7tsp_v
zw_#>riO@~c&}jK2f>3@-*u~!xDDhmk<Ax@QQv*gXPCpgF?R=gWLlP|@P=46Apz9Y=
z>RvgWbXEjKw`6voe`yY<%Tvla*lUPIVX=^JD|)Pt9z1<;-V8p|X$JqiKaiWcBEGBA
zSNi<jHO^ye1{=FhX3X6BMW%9dZ?fhPLHnhEj6GLP;WFdbTG7luq^r=<-Lz3*%=yG6
zS@OpO*4@1ypz(E@jNH~^bYe&t3pArI+PRs)#@z{PJJaXME>i81-MlawA7toVAdR7O
zqvIX6iDfdsqGfZrq6n5MbEYWh8N=hxrghhjv*OH-PsbF!Meyuhr=t7!jo|X5$uExX
z?D&J~nBnzE1ljj4Ni8vqR{TQKn^lq%`7!9Pn7k;KT#^o(EH(sLw#HLDRa|)A^-N>y
zZBe9r35_`oh9Fo{6fd}E6?%#Hrg7MaVOgkH+>2HNcrM+-&}QMqVy^rI_60E<e=N4M
z@Sp))?^k)sc7qQ;zt}&*XcWicBM($A3mbsw7n#LELjj!5xhL0NE`hc;-u7je>4V=u
z`;);=L0oit``72KB-*^J)Yadw4{z8MO5*H=P%|{yN@73?S6^Fo>z=Yc6fh%vSn0yp
zK1^+Jp~;|n`8_gb<sItCsWpBjDuRLySF$W(WwD^=j<Q3c9>nI`1PAkpqV0jxF>G^k
zxXX5VcV^7W`pRm?1tBriE_atsI<J6C`3Fk&JM>`ZPEqM2D&m-}koVtPISQVioxdyS
zs0TKsXNFxJCGg;d+%6SXCEQt(#O$@ugVpk9>!~Lt@xPMDZubc#yeVpF{@zLtu021w
z>&_b~G^d7q3Lm4Q(mxpZw35^29%j03kdwi5Wjj-^zsmUOOaK}L>%jr<PL2&{Wzq56
zi5$CCs_0vga7_M|9(>ty>`efNJjQheZsnn<VeLSWT*G%gaJ#_G9KE7|@moahw3*Xz
zw`Zkpgn>S^XgT0VDGEk$80^*Xq+{~t%xUMF`tY6S?Ah&O6qFB6VBjHje3hks-9**^
zK4e!IHP<QOy%tu(_-GB}plc7Z78yYKB~F8g2ULtsk8;U~Vc;#FjCZ_VhCuC!60^Ca
zjDv4Im3$9qqS!6@zn0QQkn{DH_~pYY7=1)K`n-h}wnin@438RtUx}=&_eNE$Wn41}
z=-0xm$wP8?KN~|4+um6!T@A;-%IuWeqm9nZl`49zCQy*L_5IS68n&d`hOK_AjcQFY
z=I-B2!8E&|y||c$<`Z_I{;#z0O|Rn5p$Rj<FzRTVHyyQF>E9DBYvYLc;Jfeq77!U?
z$}&4jM^%}8YN@<7a?*QVxv5!#dtXLH^KNylwXpDx->rp39G+oqCRR}4BEX0(Q^&p{
ztB00*HSyY=<f!|W1RU`t`x{5paYJ|PAz=*$uDemzA}tA!swwi=bxs|xF;%BUO4Koc
zruK#w3$U}m!{yO8b&PcAnEEM5$BDvy5j(p8js}Pyf0Ut)_Sz!D%JyoQpEWc1Ud<X#
z*)IQHXP}NLd$(to?@>YJ4~<4rKGq=RpPlz0pN>}qoz~5tq++{tszqazHEfnTA+a<^
zL%9iB^sDO>)Ko6msC~&AI@hm`U#~;MxkyjGgfsH!v*W!a?SeHJvQI_1yQpE6X}@hR
zp9~tE65gVB+!`tqJ)JbSsA9)U3eBul0`m^r3~9Ps!$V>B9ipx(=-pYqDt}NEzv}$l
zprvXJ&q7C(jn^n+b*hzLx2rIQ1>Yllh5%B|c%D0DK*hpEZTebOLEL$txYv;fK+>sG
zyH%8M^kP8x{f)dBxNzxZnm545q|jAAR_^Bs1NO3AO5E6ZpU-Hw0D$;w+LLSz1vF3n
zW~h?Hf$hFmuZJHcpn}avW7$LwmpkVMRnM|v?~B&pt~x95&r(b_@sq(*e|;8RSy}PW
zGtop|iWNK@U%xLcPYRod?#%{u{v%I+^?y+qY6-I9Ip>4<B(bjb>0$p9%Ve$=yOGp8
z3()v#(MGu}j?y%C<g8jE<2S7vTccnB-zV;k?JyC;9|cn!in&Xq<<X|2Gsn!~Vy(!a
z6{{%jmvD2o<X9%(T)&d>w8aeMOqQ(OhlTO2bLoqwre$&?|E%W#(+vEH;SFD>h49KN
zQAzsjKhn)qsk|-K6nq|!oOrJ&gkp6ziaMn%xNG~kV9A0Bh;Mr;S=%IteblEzLf2R^
zD}9@L?j92;DP!7{-w?o03EP%1l?`J8THUHY8N+A(O_`6<_%X%X%G0xu9d`yjh|_X1
zhK$vf_ZOP@&{e9PwWpf{ljLRj$IuAE9bXyp8uOujlTD+IHWzkhu_!BA8bOop(ZXX5
zyr|3}!VpX0Ms97{pC2m>A^54&5wXj>Sjb-Ic~yu9KR#Y)P_s1zB@6Lqvr)XL;PFZ~
zIiD9j{4ME54F(V;^zBsibzY2#W!-M?#gA!m)igD412|m2Ho&c8rH^Y+^$waKR=E-k
z>K}bL()Q9P(0WA=*FE3gJVMyE(SO?KoIX5zWKqT0%!hgT&znvO2_qxb;-3UvACyj|
zu77r#ACG2C9M4(t-*sckgIDYIptdL{#eIhWx-aKXm24Kpd!c&5x?y_YdV`V0?kk8c
z;e4wkQp9lQmr_?Jx*l{bjQdf~uEr`y$!dcEar{M}7<2!@1knvaGx>o+c-YtIWTcxU
z#!Q^N^EHzReY$cbMXJL1a7)U_+72m{jeON|d@mE$Usl$mPYYwk_ZrQCFd5Y9b!`1=
z%!Hl1+ZAtjh+qqMaX}DM4xgrK8ny~Ep@q(xQu<L81)SC%d(NeRE{<f^ni*Zl`?Fq}
zr&kPRw%+jAG^>a$P8I!zeY()mtFx%iCxM$*{n<iiSHg6(@2g(n^ny#_2X8q^;#aj%
zA6Y3X=GGQEnf=y<^*SN8?=qz@!GYqt%S;*XOC$u3aWUcMZOd0}0x~!^w&XV)pn{uc
zrr-H8nV?@D;#-^|i+6GY2!Y$Gc*1KWQX!ZLds@{Mf9c9&qJAnK=}|+61(T~)l}u>7
zyW?n7uL6pOD2KCZ(2-AbY;r<H4<6Z9iJsg-!9#;4yY3!V$8+^wLd@HGzz^J?c<q!h
zDWmh>_NN+nu;%B(@5cI|Y#yWSZA!(V!V#%|qYOOH_jggOUmxtW4t(5Wpp50N-AZdE
zwUEvmA%Fal0o2I_?oZWI!T#p=`)5?Ov7lb|qj;(z6xuxc^judJza7qLs2A43MDc$I
znU{?~qSEi?Dux=e?Oza_Yu3RN8cQ+adB)(juWBt#o`$o_v#rlHb#d-(>*>KJ6JSJH
zxoEM`arVYYB)L%+J>Sb8P2n|z?ia;{wXJj<T(Y--mAXUdUfRQr<}gMk$cJ81#~AhK
z`X-t#T5q0ZTurwCozHPqH#9X+M)bDKoqIa?bmk$E-D3%Lu2pq&c^a6uew}>gBW?Up
zlXLC}g@E>p*G~7%X<+h8%cYPNKMLg;)-G285Xzd~o}t7*)g7|Rv-J!NHkj_!xeuUc
z>o9drmVrjE+Y+0m)G@CjMRh>Y8oVur_9pac;I=Q-BDI4w<j=ltJiOu;lPUH|3$Yp)
zaMER9wp<l`j#Q>=zPASM!<^!uCe$&$xF;|!QW=#ZUp%}!Zw)u~JDX3Ksw3-d3)esk
zC3HHO{9llm4G_bw>KC@raqrHEpKl}-@Z7z|Ge;$DU?jYB{q5~E)EpPM*6>>zH|^WA
z?h>aBB+9uo|8Z1X$seKX)`&_VOB#=f<O&zqH1s!2P*kxnJ!#vf|3onKvfDd+U=1#<
zz%KP$8D(Rnqd8bs<E?-I1)u%a5MI&Nf9eSp?|n9_sn6%ZlTTIC@2~9Fp8e;|$`eXB
zF1J>>ONkS8<IT&B>H+pYj`{n_j)K*7iEIDtX2l;3=`Sop0q$OAdFann!1U7hb-Sw;
z$zmU_^1BiMt`GPx_m9h>ykV`ayXY)A5-ojD>JR~B))_A6W@+5ep0o3D(iGV>n>FF^
z*a}R#O?`JYOJbmYnaZ@l1UVfQ>{dTv39IwjT&kwTv74oXG8_DdoXFZ;C}Ly@s%bp>
z16E>4-~DEbzuXvUEPtR_DbfOJ_vL4J7KvcuQ0yqzjZt#kq0FGD${ad)PCxEhBaDJ&
znYWeY$4I+ZTded&&B5hT>L9WTVNB!1{XUC7<mYKYmD$~95cslk@4+_$=nWS}TWrV4
zp}l1(v~p7r_laAMe#eJ{3h8o&DHA07Gp&|ZaZ|8gojPs3nioqSaA;{NOp$mb{T#<p
z6NnrQ^5b6Ny6=3+PhWLTlWY)uwRk0`nRe!8N^IuFrGCblE3f{N3p<>R+rSt`?KM>2
zI&xt=8)rax!yLJPf25fILnCOZJ05lZFekpCNpjmSERaJc?>D+D7{UFQHm8+pIWWW1
z<ZO`BGU>r}i#s#L5MH0H%8J>*ftz?Dng+J9V7`9bR!adxn0r%2`@77JTi4%~eRqcy
z%XyP6b<P{WR?4EkavMA9%og3+v&4q|#rjIe1q{G@-E9WzM|M2I7Qp5d$bpU$Rmqf8
zeR#m-;oCRKjt;81Pq&P4V*bE^b|Xc7IQX(z{<JX%>Zz~<Hk{$c`I3gxrWIaT=H2n^
zR|W_Er1mcxneyN!xh4m0TRq_QwVMf6=0pVv1$RFlKBQH+^s;_sf_PR)XGbk3_8ei4
z@|fdC^<<8{zfUk>eBf`7ehL@9WPk8t8~<udIP@%*O`ZwWy+ZO|BDqoO&Xbxyw}mjJ
zrr$TdN*6B1kG6y-tisM8f@N=7g)vfoPjr2#F6^e8O>;lz!MOCf#Iq~B_REs}iwRv9
z7F6!ey<E{@9P)}(j}k*>;PZ#4t979CT!(;oEI+Q_y2yHKK^!~$>UoEqb%6Tp%Gzor
zK}=(7+3_h=5>2J`wvT<&hTj2|iDg5p@pXPhR<VmT#>R*{i=Ea6h6zEB8xz9ux6YmO
zDzX@IDJw<RLL1x;72gbI5y5@xhc{R&%A?aJO0WQrHe?-;xoWL0iq#y7XBsRN@mTG;
zyTorTD7C6jliM$boMH;vmLvt+<@gEjVJ%2ypMNe=BaUwa6T|ISxXJJ4t>`^m+TiTD
zO+m&=5+kmUNmv^zqe4shrwVIr;D{j>XPc$a`bbSrK#~e>3o6Q#%hra4)!rYqqGj+&
z^mFgcldAZnPtNZ$T?Y;w`dikrRu2FD8&0a;L&MAKVjB*A)dBX8XB8s!70}H%^X2(o
zI_e4C3QhObh1^8%5l&eO9>42QLIh~w&Lg+ON>=>zld>Ln4P6Pf*mb2<Mi{6z|NUpd
zH6~PCm7YIkO~sDlf!Ub=Eu^M(Z}IlkgR{}JAAGx%QEf13q5YFK`YV)FSUTy$nM6C&
zl*Iq%>Yn{nF<sR5+gr%9*#N?usK0_rRPklOPaC;=y0~V^H!|*|A;>tU+KPWw!?_Oo
zVhc4UuDz+?re0$Nv<Sy0jYS%keHutgj$vY{LFDL=rU_8qlubqms^gHfk)hsGCYmlh
zB7fgC1;q%+Qs>veJ?9dL`Z6Y(INVzsWNZ#=YEFFX{;h%TJVGb+lb9HF<;gm--U9OM
zysh;gFwoSnV;7G)6BUgGw%y!e1w&e!cFqu*SU;fsXJe8s?km#2eXW;(u|PMA>f4%V
zDYIeM^DrIEJGN18ARk~;uSj=9lO|epO*;;UXrWzv`JLa+){rt;IB@H=CPwFl$w#jE
zm}6$lNB6cB-icX5l!t3#c`AQ}>lr$lGV&UX>}^2a`ltP+Sq45yndA<sQAIYMNN3UO
zHqhaFDUp|8;3WadNxpe1x=nagu-4hYmMexqa+_ED)MQ%hv;hUzf6rXb`ECO*Po2Ku
zWv-55iFI}RBxP{}^U{g=b{o*NeD&+}KN@zJ`vlu6NucW~dk>!HHsB&2N#iR}!#}Cv
zrtz7=$UX6si2eV6*R7~aF_x<MdeW3T$(9dQLtxtu6B{UcaF?q8P8lP%4mp4D;lKuA
zp5^49))2ZBe!pr171^TAmzt!PNEQ0<k;+(WxDY4RJl9FVkQmCBfrLrYTRV5Hyqq;`
zN$cw8`>ue_AeZfj{p2k#_aL9g0DdZ!JB3x`aG0)?pI6dO7MupIJUal9tzph`7o_oR
zT*<Z17oL;i8NzWEMFivq?@C`ICy75U#yDKHFDF*XHcrpAS;65~vI^hY#gO-p(<bSY
zjRZ%oyQwjo72Nvc7FdWPI252PzlPRI6lyj^iRf9vj-c0}rtL!b`Lnd!e`alj-Nb{d
zCVMSlA^Nf0yrCcp7YXL33AGWGH?JG9-!=ywG1=c+#rcr+s6j%tMk~R3_}a(IKg|FR
ziR^E6T!k-xwG9YNHxs4J(_>%hX0TkNyS=@R6MLCLPj_8<PdMsteem{(DJ=01-*&yh
zj-o@s&(7qM#6O86PO{Y|kl1?V`uKfTbj##3ymmf^NSUk&eIRE7quDJD>5KnJt`|1j
z&lVMsx|PZ@Hph)237IyU5=-R0<>JZYFRw_JoU$YNpN&AA@Go^wn<rINpRm?q19^D9
z{ms1<4iat4jo%wJOXkJZdNh1*CBp*jbQJOpp=_{M%lqXFnY!kEwP$Z9x$dW(_-8Rg
zxO;0SIqW!1u6gF$Page2=1m=DdlGK|VPh==SLLTjVoT+PgAqNXoOn`r(xN`R9O}NB
zt3OG46(|0Ea;A?Atd4r<bW9(vZuEPvb7q2!rkuOweSMJZrZF`dCiS58&>r5^D>>ug
z+c2f|r6Z&nLo<!#s2(^>(Br;VkCTkzmogiN$4Gy+#0yPxOt^8OskFavoa7FzRGLa3
zCok(4ZKlUE;cCdHRIS(J<V5<#h%DDhQjPW5-vt3CDEQrX*|5CQ$FSz%1^H?6@%FP;
zRyTElXf(_|=QlydX&n9ZjpZ-dd~#RqFCAT|$zVQzFf>6r4yw`ES?5UG-o(t$=XIdk
zsH;uv#w6+I-?_Pvx<HC?bH2M-sSWYHP0XC2DY7uC%He0=64{dF*C02m1(6ea4Hf>=
zWYWQxtyACrkvCQL3;UXAfnD7EP3to=By#MWSZl+IryKJIBce1R^Eq~&tN%-$i#fD^
z{1F=(dAeC9H!#3M?as-4mUE<&(TB~2RvgH3t{}3O$^e%u75$9Pc~Z&c8o@rsiE3|M
zSpuRopn#?B;?>+ma>EBr$tP9Zs1oAUQ`(~r4SuF6ziuy+9I<U2@2YvQpy+at@<w%d
zoW6F|NFWQkvW%Bpo8iML$E_546&*~sI~;Y(X2sgPRfns+1kriZga7u}(qS-5aVOtj
zHoO8R7CGTU*t7YK!JRr9@QcNF76)@+zh3q(-F{)bb%Hk1u$=~q-bb(M@^RsG!i4<#
zqoO!*LyF3~tOf&VrV52k+_;!1__c>7jvkZD?&tT^;QHB)(rY9S)?FJb9b=WmL&72<
zr}n79#$Nv&H@@*<d<8QloJ$&qw&ewR>Z?KA)DzAdx`Mc<lS(~fB8zEDc0{(Q8az;Z
znAqkmgf<z$Cco3<(L6bqONCbrV&+qSago9(la_WuMT&yy6-;l2j2iq8009603|DtJ
z)qfP0z4sp3u5od%y}##PWVEhOk?fXHQprw9LlKb?3YAbqWrVt)L}i9#|77owJ@fPL
zc|OnQIp=-O`@ZM3dyGbQfDirtJDlklCXIs5+`ABOp#Y8ISra`Y{HSW_#PRxV86+rZ
zv;Rku0<bBZf0XcA5WTeMP0vV`LybXY*I77l;Bbs)VLDY9bv30=k|+u&PvuyaP!SFW
zS9tm?3Pn+}s_9JyDMd7Y>qY5}TZ#}F=S2vg5=Z^QEYE!zl~Mh4W6hOhC14IXr}E^G
zBmxd?h4_Ce=$}<?dg_!iBsVzGw9iPPC_|dY?LBJ9XK%#z&)ax-XeoCj-Ao4Q=$BA`
z(GieYLR#NIfEw8JXX-wBEsM^7U#I=Ohlr#OZ8$o+5WsuK(?3~S9vM5T4?kTbBFbu%
zx6fN59PV4H(t4_Zezy{zFtuo)0}qJ{Y&x3oxp8*#o}?lY?Fd_py|0P%S_h6aO=>}p
zeoF{GO$h~e{gscG&_Xq}rrZ_vI#7Q4YXLut3L1<&tNJHE3pK4*RF<{rfnq-S-!Er8
za@gTmU%sz}LhGgN`PK};b8n^Gbet+GkTD+3v)4k0-#c45sTu=`9Ppocf*Q&bWe(%7
z*F;wr<3mc_FqrqTN#u1@N7Ba8jydBR=(~83?{5U)$e(=td5=2cf5l>9Tuel*fyIN@
zt4NShq93BmNI;Z%vHgka1T;DEEp{c93`zY{C#EOWQDmjy*XBVyTK8Y)8l{**-Tg25
z*hO{3S;)T@!KH*;3!)8ddQIVH`8(-*&()B6$non0UU_tzCMjK8#|#XRa7*o7Ra9>?
zu3^qEjn?f8?-aS2L2OJym7X#l)yEW58Usa9n?>K)Cs#8tbGJ#)iC0E(O=~fpc6=z3
z_(3;K&kVeTCTpyk6cPEmAno~97IY*#IcRdu6lN6hEzMI3$WWR~rjoQxJ$18ptuMwD
zg2jZucU2Bm*WZ<Q$sM6a@s@lF6)}Zl_>0w=J2J>?kfKrkyB(tlb&ZSd&TE^}UKz(O
zjf%IezZ7Ns#W1Hn0vj(G($?!Mlqh?V3zsJouf`^Jf9nfd*c}phF@9-pED}X~9WcQg
zDtjO~euVsB2Vm;7xk0g+5DKbk+Ndn2gOqZoe(xZF$}>-=wRri_L}b@n?TZXR(6Z>6
zoW&rbnSF6soCmE4t^A~1X9QhF{=*|nCct(?wChg;I~r}$i`V030-euHX;&Cbz{`ex
zCas$Zy^A4_-o}`qFIsY}SjrgmFKy0#cBVs*l9StgRG6UDthCvBpAj54T!dTs|EPwV
zV#fuh8DaLYo!W;hhEOw7DXHVVN=<nvE<}oFggS@LM#n+}V61jI`h9kuN@n_V;WwTU
zltZgLZq4aK#~*11R*NxeM`1~MejNjFP5YXq=;=e8?r3_^f1T8a@Bdl=PC&80m-{gQ
zO$l4x`W-!3`dyg8das1adG-3ybwvg^wzX<6H=qmLb@+$DhrePL-wztRTBQfE_Wago
z#=5ZRVkZ58t_Qou(o#`2Ko3QMb20*1I>2aiB>Y|3FcuYY)RJ+W9+qRvsq(BkFy56l
z5ZX40sYnJ)P}vzEQ_557VW2iBJu_1?^PR(5|IYi}wq*dp3j<`i87)X|(!Y0`vVh4x
z?kag%#Q?@pqyuj~wcs}4)|ueyB}^@W0k3bx2zeKxJS2uR!TeALla$aZ7AK;23^o|S
zCdK+E#Zwd5hK7X>9AC%w`}(SVZD9iXJ6IrTS_2qP-LeyUu!$+UD_@>&Vg{q18DW0{
zG=N^8=(hT08_VunZeLwsfnnFB(@snpKzi3b*zs=%GblB>e2T;dmI<t<pQaOGnTMK`
zB)bQ2mTYGxE7)ONLw2iGhY08Z?S0lGwBTA(dnw3`6XtBE$3!~_kiSFKBF54|E|g@y
z6yt_plyt{}U;-S^qiuKWrH6K=3->Nd@&GlJ>3+Q&0Ztbi%zZUt1g|LO&PZckc)oK&
z{C1u?obxrIdtJf=Z{_%3+Fj*?p7B1;RRMK~ezLFA*op<FMken>H1mVw>{4X=12wR1
zuTXot!3vhm8h_uL2|{vspr(ni8sJ>mqD`CFVd}-sc3!U#oM`lmxl^PHw+=7H5o<WX
zbs?}-;E@RMgZQSIqbe9x+&SWMksF@wy;hLsF9yx)=L)TaRN)MR=Qe*5540CNZ!EbY
z0qaZE-#<*^VVah!ysecNz9f9DOL-~@)r-Ml9PN0>_;yD~R)HT9A6jMIUXz04PuW=_
z-FT2-@eIG3C;%cdU*r|EWuU<SSBJnB9zHua1&Hhwf_D4FJclS*Xs8*H&jeNYIxK%r
zs74rCreo!;C*&X^i~B-VzA7jOPYmO4i^8i)<_cdY1qgq1Kd#9{4aB?h|7D*MhoXCD
z;vIkEU|Zk+LDU{~coFq?3x8@aL~KWwCip5rZCYed-KshW`*{(ZF)667i(s*(Re@FF
z-3)R90g6PhR-A)05K>Pl+a=@S8@5!gZAAoCC$rU);WAL=+U}eqrv|B?g<6^=HNagw
zl~VCq7QX5Av&LqsgS_BlVur9LlrN+?DG$m)=iGzq=o$frSRc)w)zX4g{dI$KAq6O5
z8h<P=N(5de)$>FC+AzJOT@tb%2Xg&#n_4Nm`}f=J@_{xTunf_BkP@H>7bPb&?H7n}
zPQ-mu>F_SE1<BcmA1Z<ApMpVVX$@FAhskaY>w_{!!xS!A8Pu%08logLpg3SeQ0DHg
z&XD*eHN#ZEisP!+sUadHS_{QYY8k_?6N=8~jqos;CxSWo5P=ZS_;jGx1Tq?H#SEM9
z@N0k>{;MFse`ihpmg)hR*~x2+E2;u1?uQ$HmO2Eg*~Ho{0X!a$V%M=&1@DnCV(w{G
zU|CQ~ee;+E&XkYo-Kwe(8f}Na)TIpjDK1(M6v&`A!<Jgth6m(A>NDd|gykbv$GH>9
za7!_a!P@{2mvKbXuD$X=Ii#qtGC&4inc<0uvnp_fONKiYCj(Ap0Ycx|P2q=96B>6{
zhU)fLw!b6xf~%*0YlW~WQ0I;F<cUgPEWp^-x-AUtk!dX6Os1fFGfnMxFAfGKUSgBu
zd|*FnHy_kT1}2iAf~k)Jq`Lb}TNH3YVq+WK-gGjM;<qxwr{%z_qapBWAtMa34>o+T
zCPUAeu?cf`SvaD$S751h2eV4EP>Px%LHPyBso*YY5SiawKkT@K-P7=RbvTLy^J3#i
z=j?X(O<c`3&uR>t*A~ig5+(sdxmss(g#-`?7whMFeqd=|<=)um0&rF}r?Ab40wTYv
zeH~Ci4gP1!aYz>+lHmWY&rBF<O+Hs-{OX{V5;{+3$6zqmz@nF0Cjj3L%N~tm8l>_+
z`zA5_#soHGg!Q&V`GEbBR`;VvBUEJ}eaoc|V{meo`e^9N15@TPZt=lmRB{YQbSj-O
zXda3WelWH>zo1w57}q$J!zeuan2r&=So3^N^kM_exc<>2*<;j=Umr7_E*Qc<w6I;9
z1v4Dzz5x#Yqg1w7y^LqO{-wq&Hq#Nz0IeQ<Kk+5QR4<wPp-fBq&|_@N{CArcj?-qj
zc0C%T`rOueOu_V__$+hExds}jD(ii{<I_)#e8p#H5~l~WA!iR&RBU4+%TMgVqnoNC
z{OVN9m@WkWl->DtVgvibCnp)A(@vdHS{m6T=|bCMtFGent61(#jA9>CGxbV9WX%3-
z9q3~w)H_ZrVP{>K+5b?#P&FQE50RO4z{r*-E%MU>RxrPAKI8n3TEL=rzrar$zG=<g
zP9LAgBFYxes<v2TZ!5jYPW@UCUa;lzxnveQ^XSLU2aR`F;Kw#!If@qCStyn(lbXTy
z<<su#X{yF%ZoDY`U8@P48M4Byd#128e9oaLY6GTvh1tOy(}euQ)X@_MCa|b$Tw(J@
zZCLF$`_-3K8c;tNXr#P6hM94W9O{hfz(Oo5x&w_hV1g<*8nG~nG4h$0@qFpQGQ}H9
zzkJ^1@kQ7BG)ALX#Er0LivRktu~;o<zg@jrEXHNT){kIkg1YhxGY2sSQ_irn?F10d
z7Ew1z8NnW0c=xHgVHk_>{q3LZPJq}3k2d|x5v+4ALw%EB49jvT^KKtk2MU`~ePRCy
zHc;kbVq!mmrQ|tAKjBsfUY%%(3d$%ZdW_msNS(saRuaV*Qv-jaoZ4ecyY>4%rN#UI
zU_T|Jmt`-jLfLf{dAsjpSi5IJ*~-ow7MfGRoL7j4lou&OSmQWG<N42^`r==#d-QeX
z*sKbqG_I<jrkTVn#A;)P|1DsVrBC)XXsH0BW<f;lsVS`Nb5a)N)e=Vg=7hIZgfbx3
z<s8<3)7Y(GTo4wrg3(@a5_M=*f>%@AhhiK4U?qmLy4si4u<X=t*cwg=Do*0Q*tO1K
z>>}>xcv3bn1>sPt%1uS!`{DBMHp^}wj#qd^=eDq`2_ktkV>p<3>oXp2y?|Y^UJYUn
z-@%B*oNr<d;$WI7LF{PZB6d~Z#NwX(9?%k!o?WU?01|6dd$sN|mbviU{Z=6@bWz?3
zoK{l+N$}24nOeaj_6hIJJxLE+4HSCmTzT*aSv5agw}#y*F*>uR!w4pi>*fL#<w5rB
z`6TD=-92wLv+Fh4<=HbYt*$q6@ZVF9Cv=kA7_aDO2cckAcwd(`U1K5#12d6l&pqA2
z#Os;@dj7D(M1$ppv0t*VQZ79rP1pmj|5o39e98r!%H>OJ0kZJPj^Z=@juu*u?XV16
z^MG~xne$pwvM?QUsVUr<9{9_{hX~WWkVFWaNd6@QkHT<QlQkJ3S*m_h{XIW4$j&9c
zO_qUc-7OQCE;F3_Zl2+nCkUhe^;FoLm4UEK#?LLjtUz~6>f4iMVMsk__cq%~2Hr%T
z{65pm4wdyP7Uywda9ZdFotcRYm}D)M2HxU=TlaKthm}b{zY_8B@!j|ORmFGr>GOd6
z!!v?{Bq>OGW>TGgUIwIxR#}SLcwy$k);6J58gBeu#X{f8fTG$SKi-G@(0T0Uu+%wO
zc-;TiOi@%8D%;(HXM+S`KkJ`%H&uDKu4AhF>Xj^v5O0p(yDtnH4w7{#JUB>lJW{ga
zD+fewQQhVSQFv6OKm~p!(0(Y+HE~uR%y8SQn|cz^F<MVF*HD4y?*s}AUMPUM+QDN1
z?UE4A;LIAm>w{{(eXMTy-5mWX^wFC`($JT8^N{E6oyX}dUaZTk3{p*60ZHFwAdQ;T
z!>~qxu=6EcQDi)P`lGLwY%d2K+{I*8K@I3)u_ow^sKIHHNy?rDc`*FZM2V8u1pS(3
zSJe#yY<C6fMyKGw!o9psQA`UGJ$*5UN)6cYn_cH5D*^Z0?;k67^KiWn<5A8MEeN?+
zDRpsF8BV6Q{Ybi@4Nt{7+T4eA;DX!SfyAr3zRWFSez!v#TyK-oO-%IRK98wY;<PH%
zo4AS-I<>*Kwjivg+z>8xFY%Hz)uBF9N}y=>?zh~*EObaFP!(!*Z%L8>?($muv)*Ze
zc%#MoS62WRIR2;PIsx1?3L86aX~Jehp5N6t62v>b3;I+}fc5-4U5RT%P_!?d`kPIL
zJvW%l0}uh;GZmvIK>|DzRX-nh-xQip96IWfM1ZPCDp5yfR3KyR{xLZ-GdLj5|H{{Z
z06*$4ylHU3f#J>1UYs>%!1L>+3(;8}zWLfq&3u#rAr`AcjjZOtJXttEUQmS}!#$r`
zE{TI^@~OyvQFBl;vDYD*;KAiXbOhlaAC%1;EfU-?gSZF$u~%)Bq2gr??n)^$^kzEs
z-YDA5(L5uTF-D3IIHyVDQ@4WI3h^o%SeU_k^2OrkTnd1O_~Xw-Ctx$j@SiNdnS!R&
zC2D@REEF_xch&MPP^-(V8HV&s;h-?XRLV<fFzj{k7oyOhXix33v0WVA?qgvkGE0J$
zuI>xlAqI3jfcbAJD;YxQ`4c;4Md9d+5p$J)EQo{C{iyL}5=6h{GveeDf^Fsk{itDf
zwD0}>eG)?eu0FJ+7k+#&{;-G7<p(E1KQ6KTwFd}sW#2z4#0@&<SaP@5xRAf^*DL&4
z7=)Z@4e@7Z1@&8t9s4c0QP}Fj^0DV8@XXBlb@CN@i1Q7Uh;-pb_>9)5fD&U^5w^&8
zZ2X7SKKJ)#x8+77_m|zi|1^SDo+Ig(3zo6DzWB5(0ynxAc_Yc|pCLH%zAH{xo5CWJ
z_l)b&aU;6A{xnZ5Lnvy@zgqIJ3p=c@E;^dSh026(d_tEEfM64QmpMC)nms09yNAMs
z_+^%>AAiz^??>Ou^;&mRnHexk7IrQ)#klYq$D<FTt{b60^~b3ePVJnZhd7bIWy!^I
zZ#`%ZhzPvoHczD^@?BW#=0r~X`M;`~bYbPq+2^m`Em3{(&(XhSPNcq7!}C!`7qm&z
zXTQBzqb61G=g=B(p&7=-I;R{R*ifyXsI}apDv7+baLwgH@<r0bqvARs#-+>a^LmH+
zsYTt=PnsKL%$eH+rf9<nN1fUi7xtj0Smn+uQQU~}GN1GdQEiA|8>&9LN{fOv+dR5x
zc#t~dW4e}XEnswc?Okw*9<{v~BFQB3AP=XCsx5*R<Qrtf$xkt$y2~p6^<uoJuArgU
zWcS{Pq{>wAx-ud5e`zlh==o6FU$>MGE}DR^W4&>thZ%8QBJB(f@u6taG0{vKO}I*Z
zea`D7D|*~!bkMJtALa7&%IV~4K-&+Kl81lTkb7Xpwb@w#)Wdv9to5h{TzaNHLXG7>
zmtz=*c5@r*Dd{}g&8`8fBg&`q&A8Bex|fD;&k3W_mR}zm>WNU(yea5)mm3WixNKc)
z6G6u>+9nvr69K#R?zee34{{Cm!qGa2A$iB@Q|+!q5aPU~5O9MRDRf_to7xsf-PxiH
zP6kA977N$$P3A*|Q4Z5#pZB6ZZ+FM{dx?<p;Im)&Cw^3#`uf3ujTE}}O?$SFlL)as
zJ-%IQ0!ZJj@1?>KX{0Qx)w9S(gcq`sv7r`1C|fj%UC>Piv1&OtXbTY`!Qjht%~!&R
zAc(p<!eo(6mRr^qkqE_}92c(1iJ~0Yb7A5y<<MmtPm!vVM9BJ4nRMr!7@A>PSY_>%
zM_h+x+BegPAU(q;&T?D=rBA<L78SxF{LhuCgR?}4c~qgJ$s>tAUI@RpdQ1_~xUy@J
zcJVA@4vwlnFNKb`>vMajDxsebSL_b`(g1vVFHP7<X(Ud*{@l1j85P~TGWf|y6K=LN
zCCb~%Ap4=M|CE^V=x4qYZ>)qCG(1XiFFz=Y9Df&DbmLSJIcq<`bV3W*d;I9rt>w_n
z#UJ|1cr`Re@Gtz@s11j+?gnM<lSd|%YLPaa>L|aMtfW=11C?oxp<BiZh%fSMl}@!f
zqC1nh^SWObm~NU5*y3^M{?5A4SxExg40anNFzLgCMZ3Fo?25=Qn6Adzn1CoDU2>6_
z0p#ME1SNYE(K26l#GnoV{fSDuD|f>X@+vP-hGUh`4dbJewaf%mv|3tn_PY^y+f05f
zlvhUm!uBL@cXgE0x>ov{)dW(#DI4CY%80mLI!x=ThI+YzXWjq?$T)#1XH*&02Vc;A
z%b|*lMRT7p5COLC9j)tNR6!jE^)E~PRZ#mEBPHi|0463}?5{VJ(Gv%2^O;?oV`-kn
z^~jPS$U4x=5GkYBh>Z`b@i?@gIeWM88VM?MhW?W{u8h)r52U-Fl}9~;7l+nrNZ@dQ
ze*Aom5_&el&hAK%MOQOLXZsdN;KojwD`Zwe0)=XKQ`V)B`Db^D8!Tklm^62~ucU~^
zn39sO=SU#M0}nJeck4xhva6}Pc*ZGxF!4(iLDRGZAJG*OpmI*7O(6v&knt{6vsD0n
zu}j%!&_aU2PoV>x3v!4Oy?tfNix*w`<!45hMuOKvIipgaWzkr|RSoTSPNcnXwOiYP
z1Zg?XTyghgkWu%a=gQAmP~>Iv+%OIj{J4E<;(@(13MD(bhyeo{8-4$hQUOrU5G^Gk
zFNHWh)bd4U?Lnu;F5K;L11PfB=E~iaKpqz^cIx_XQ#ZXPcorD|&KW4b{ZlK3bWg80
zo}ON#`Yqy24Ja5q*H=6vP$+^<SgmZHy}L~9$5?BG5=>x4hDolzOb7wKMy*0&ky=^#
z*yGr44*lBN`YLo(0O7_5BS}yHQkCLU@*TvC;a5>VU#uQK+T@g$z1ccX6*%y8M%=>)
zPFGITg%<OoL7kjj=cn`3$}L#6DKvx{m*rJ93J>bE(NlMwou~HKR31OSZ2*ZQG_No5
zaih-8k%iwc|58IJ65lE*2EZLsqPV%lff^t0A08@Spx#?~^~5t*A25<qz6}#Qx*hIB
z8RA)@$~?YZ97eAXJ4b&h-F0L|^1aI)5jo3LAx6epj#GNjaGfEOW11Ol(rc>g`mRzH
zgze?|>UANIqkG-Bgb95)-IBiJyiN^!^ReW%rY?Bji5s|E!iaudR=-Yvb(0!#w!YgV
zO9yV>5tzL*!GJh!hxOXM-KNIyZA4}A>45T^A0+nu3<!TeSEhxD2AMrMQLY!Q4WBCq
zoK<@0(d^O2dtnxPkdMpW`^pU3ATZORd@z9?5u|NAex=Z&A%(|Wfj70F%f+)v^)fv=
z89UCty+wx%!Ui^Q%vvDqrYbTNOpjPEQx8R7VL(4$MV{OjrwOP1N7=hy(4+ZqJ-AHI
zgdR)3vl|uHgsDRxhI<$3(M~66jqx=zN)>GGkSNpuC)Ndi4o?PTeaAAS`#dYk7H)pR
zZKeSoE%Y&C%M7U5&d;^>FgvQ;+6&|TL|{MPVXvFVh=j*OGJe}|A`UMHuV3Lr@XdJA
zA{EYroP7=F^o+Ps&g&;0qH;tC@>GxKyTXhrzN-!ddGH`-y6;rl9|SnKcdfG_mIVcx
zq@-TY<VCoyRfnl-1TYbHesr*r6~#Y!lB~MShw6BQADQS9V8QxC({D9)#8(kI;^85H
zY^{imd#2TazCuERshk519H*MH{Sidr0Ud`E0@Q&<hL+>nIj&uvzwM$)6h>G_*tsNL
zb<k2s{hgA{jRFc>Zm~LwqEAv6{qvC;v?VZ?CFSrSC#HQ$wIGhP3ERhuZm0p>jSsgP
zKJy|+$Dr3SR(nxXXInz6qZ&Ll3wwHCw?D0um*$HNq|g_Sl2^C(tAXdXk}ZxbfK2Kg
zSKQsDQPs6?73s&+;6WnZ%r;LD1zul$^f^riy$Mg>*4zERXSRTxr6P=So$?WROctGd
zHe=k~tOnMN$3$}KL=dCpN&W92k8B^^3_46whl(fFZ!;sskjqpTdq|!FIsjNn>3`~A
z8ue8Cgo6Ysb!NSjC83DM{hbZe?FewYl&r*PEs3@|UWoYb>L<My!(w|I0X|OC&oJdn
zAp+M0G%BQmzIS@m&H3#5wLrql;0kGU)cvV(>_a?abQ33ElGA`Be^HLR?J{U2zMdGc
zM-AB;wHdE&Xu!YLx`wi4S;XXtJI8lI9gSGj8eada3FDuP!W%{9(a5io@5<H$B>MYm
zwJEbUOpxBve8dz``c#JJ`4$37JnT+;%tQx@!f(#Mbitt;uCy`5`b5;~nRL@HUKgCo
zS1WriD<ahu;c&t=BB~(V?9JZRg9CS>swM-K(D6TQhp#>+BKqcSj2LDB=f*yW^?UC6
zi@EuynJ6NP^^xhg$!r9Dy>|jbh$`sc`VmbZV<Ni5&(lFkGKSpYa7uco3L1N#Ci~wf
z0`erTOwWp8u%}pTe<lTwR;m*Y6tNP}X(Usyu@7K2lhbNA36Cm!n*D7p)lhbmZdLd^
zK#<V0P(ltKF&GIc*2>_K+xD$&auf;ZC^-u<p?EZ^d%$77L<z~A-j_2*Lx#bCoe!sk
z@#tttu70;54&4zybkNe34F7Sm#MFhVpkpeE*B(2`Auh_zfT}DqG)$WRRVh$LL%b@%
z;ZLNI)6&zby|rWr&=Tv>c%y{I8><UWj7T882ayj-8pxn>-qmvKt|H<l=i|KEg%RUg
z(A|YHG8_pg%hNW;p^ZOr4+NF@krGR{hIkAazIUpK1Ww8$&yAk_nG0NqSViMCe~1it
zIv(}qa5=>OqFLJSF*73XkK;eMhYVcV@F;>q7L|l9g=ie1MF$g8swQ5Npn@8&qn0j>
z==eQ?&*C<yeD6PZOYS4VrmkVW6j2H>v9a3+J^4%B)*F%R><7rtcRnzXErE`t>6ibh
z7^S{#|G@2c82~ruZg_xJ45=$cD`wSnP?=q`E;cal=AizSQ}MTi5$9dWH+)8)sG(&Y
z{doo$_-{#x4`~XbJ{Luuud6Sy_s!RXaHmax>B@cQ7IuF0=ArcFM~5%iR;puT&?93Q
zabZ0e!^?|k0~<-KuJsswuCRV|oe>;dm)KD>=SF$+=M*h%8ZmmB0&I}h2snOv;GbA<
zpgk8;GzUrbSh=N#?Pro9B&4=RZ91?b4atRSEwNhczd%DTqgw`GyJ#!v^N|Vt4*&rF
z{|r}mAk}RY#zpqH$lmL6U9NlWb&o9}krE-hqO_G!8lvb!R)vfxi4cW`-y13`*&~s?
zQj$IU{Cmzn?|IJqoacGQv>Mz?4c^jTtU$V1t1cA!r-)jgWI}!i^?tczX4CXWf-hG}
z>VoHzuu!ZI4%IKmi$5UeW2Itez6G4ufpuP~yv+=H^n3HWMY7umjFgP~MQYK8G5H}0
zKYlvoBIh}I#q10APBLEki;6Z-o!Gt{i`>Ern}hr^KXqdCp-~OO@mkQR^WTQ3)dtor
zQ+FwetsfIw9Fdq@(FDD?$)8RBYgnX%!u5&LA?$91=N=9pO<<K<Vd43{f{9#RO8Gu9
zie*>Z9{1_gfc@9)J82oqn5eZvn4#PxR=T?@sl`eIsCv)*LUNa|!=ane41qIPiKur0
z=>rus@6&td|6IhTg)YyOe)xsusznJNGo*r;mrVENlZ)8vcCR_M<Ubg$nfbB*dkVN%
zhUt6CFJe7)?xgEZe=+0t=BC2N6gad=d>YHWh~cFx&p+JhI~m0@pR8AhAKz9+1_+DT
zu+CvmUe;yomed2DgO2Jj)2}Bza%vGvj*`gT#I0f+s#e8~!(=dy*k9N1V-aHv8_BB^
zS;yQCUXHFiM~2t62@j8kEMY9|mc23#o7n5$P9wldhE4~ME@q=;jQ!$oyln9{CKge`
zbKOi0mP62Nf$|FGz4znm#56iIzkWP3Ib0Q{G>CC^u!=1uJF=~;&?8C1nDF-ZB=~UN
z@`e4iHH@rya$j>04)u}9l`c#q*o?9*Z27g04OT2@xG*yziMUxO_X8?$K_DyJD0&my
z|Dh2{W6Y>Zk)uldIT3Vnjz5ud+{Q||D?W^5u%MX;v9MWIA_P5tb@dH_4yn8-oXvc~
zh61?zziXUPhQ)D@tL~;d|EKyWEoXoOX(d%QhYl;jQsx5jN+<*J8f{kywd6)NTaq7q
zU6nw!Ymb#%2M#eTee%4%$b+)YtdG9?L4e(JKRB=3G9d;o%9~<uJkqcyDqRR70QT74
z?A0tYS}+c%Us~WpUv6n>R<RSHr_(KhzMKUm59TjP<O`t0S9{36Unzoy+C8??o%adU
zb3A3fA&8FW`KO~GMQ94z{Jf{012K1eI}j5kjLrtOA6L^?gtnze_P4~ikyqlcn2<_Q
zr0?U`bzejg95@^9<#q6&QtFhz1tAG!8=K%#&!Y&u@4p@1tA$4dt>whA15!xV(ZP;M
zS`iX(uW6c<d?@ncaZafUX*675>L<NV5h{eNtDRg0P-R@h=~Gl$bU83)EizLPQZCn~
zhe`{gQkzQox&}Ga`REqGNRR+Ld_Ph(IfRk@Y>VuH%L*tj!P0c&Edh$64GN0HMA4s(
z-K_RNK$B0ezu`_&0zC(Z8zGM3$dxSPnJ%h~gvo08u1}QVurSMC-x5jWjXPu>!mNU<
z8kO?o)`@T~^J4>_ur%u9N^DVDC!zgN;MbNyf_H=adDsGE5NnW{VeBt8q#Tnq5phEe
z)R-H}hnr*((=qv%$7aaL=~38Yy-_lJzWV%&vyMDE=#$)%)vAszT)lrsfkJ^(e<Xg*
zKUYBeX#ZL=vMA_DT}wh_F%@PCi?v&%2&lLJfr+s_6&aL~0zzFhp>EqNEj3OF>5E~*
zVVzWD_UYr<*J|2u_)gpY$T?-y@_`t#AgzHEnWuM;6Lg`m|5{k2mI`w5oF5z_X&^2Y
zvsotteTX_PBA0xaguGK2I*sP22*+eOG=9Vo`mP4p?6p-zMK}I6vL2<P6VZ$h+(T$!
zx$V%I$gGC`I=ac7zd}KN{&o9E9{?VYzJb_KHRR#fkydZ3jx4-d_`6Gt;THQ`;_+NH
zq)>VG!Q~<~^!v-X6`mU=&?kP%&LT_=3E7(F^V+GPPA}Cn6tXECvl~`;O|OR7<bL3;
zW)aYqZk1EhOH&9TeV@f?tD>WGtBcaja_9)h<sMZQGYEbY_K-t{ge*$_$;Pirq4DIn
z-N|G#;5@g5f8Rtz%@h}=JBcDF@cv|4kE$8Gtmoj|LsLe1C$e}w-teJwBaWrtcbP#J
zS;@!XHUV8vz$WOV*wMni494ycrr_3Fu6^gV0@~1?suFaiLq>yJ0U_R|V05D+tD-{=
z&BW%Va*xbntw-`mt_vn`G4HgG=Bx~o3XA1-=y*(1$o^a8A8Z0s-^U{Vuu3C7N`dr=
zBhxggSDylM7mZ<$!-ICU6A}oQd`WqdeVO)XFJlgOkTK|O>`f4#5<&MLwXnqCw`ko`
z54G~A0S=w@yh)!bh?>WB8Z~+7fr(wz_KqLGFTw_kP&hx@P$sRp)H6WqqCZk;p#kX>
zi_BaGFJe!}OBeRz;PTycQ_Wr@m>`hkE0#EsoRGh!e-I<|u9h|Y{b>lihRw7d1y)qY
zv3u9^$Bb~(N4hML)es6cYxZV0F(OWLQU2SBjIb}Q{MZ=T0OAkXR0a>yp?AxZy&g`C
zuw>Ek=c1=R%rjRvl$ESw*_#D&t{XTwO?h?_d#DFCTfMoBUW?eMTPr&*2?x~VwEK$R
zbwO`k(r@ABFD$jA{&k}=4h~v9*e5El3qD)jhrGi_u_uviH&b@z%07FFljnjC<jwS$
zi-~k$dKVOxHP17^TqAo&bdxrOJ)&->-!I1=*vV)&QW&60VYO6{pbhQ&rSJTu)zE$j
zdQ2*@Fo5vP@He+RTCg-7A6B@~Me{zoO;uc>2f25v?QDNFp(mO%$o$g~Ep2V}SQkA5
zIOmH(zq=-!?=v|n$vr`<&z*Qzt;7J-o|fd)Rt+fm*FR`6J41U=%;d{^ngNCrkF?<}
zH9*H{zZ^O@M|-c6bEmG00rEJH9962JLg$T%s>$#3G}6c;zt^rf_%|W~$e0S|>ks4N
zrWR;P6>N{|7#QKjn%|MSj}$0w%apz_zC^o_*|Yhhi4k5grl~30Q2<pX^CtJN(Ej5~
zUl*-p0#m!V$G^U*gJ9H>nOFN7t(g{j{B1omT<rFy-~-hGSHZsZy>)|jX?#po@82%)
z^gLtnm|h(&;u<}l4Q$a$GjDxA;KmATm!9^Or;%auSdyarzkjrXuRk5Q#@Qg1d(O#6
zj|>){7MQBV>EV}?*rT%h9B}Qn*}1Z}YT(Vsd&$j)0o;qZ1O`L6faSC$>pc!NFrmwR
zar!?T%sd<Ws%yyuwUob;lm4nOODRuVonQpRrt~0(0ABbL^FiLZg#>5ka!A|G%+RD!
z>v{e;9w2>be*utygB>PPCwBocLH>LQD?jv81w>jg74Wc)-Tsx#3ZGIoCY_@M!2a0r
zk3Vfx;8fn=X9ItBm>CP1<X04gH=4b74^0!Hbf9y%)14Faq~a1PXN2JR&)klp6e5`Y
zpnESA!40v`@dYNGB7kc-BHVtE2=wZ^-SsDVKz^39K7L#b;H_x-I*|zGcQay(74Q&T
zu9|BiB?(O=ZS6NgL;%tdO(cR3LOvZ2X{?a~{V6X_HYp-()Npf%F7d;)%^FT&b{Qb9
zNe~>&iSPlhUQ3SJ4c~(412>Mz!fdMa_n=rJ=#_b;=4lIo<IT8&&VD(lJD+P(xkiNj
zYd)7R>=FT+lehwVF9nECh!0szP=S-1zgtKvqR{-6nn+$(gg+o!bijoK-uG7DePosZ
z+}+RKJXuO`0e6h!ptCC2U((uBAtD7^N7F(T_YomDh{q;1K@GZN3iV!qG(5QTa%&eo
z3HYYZ+cia!AygfwQFl%T<Rd4%yo*#p@lLx!fv@_`-m7>kN@aoIl0NcVjts)2LD_&4
z6lnaXB<Q;$2RWwY=eNhmFw;tUWS&d~E2+0(#h?HUqZOIiaq4inR_>bBga!~*Y;=61
z6(OqO`{_C{3aDzOx-YtFL6c_el72k_&SIu-+ip<cN|~cu_g`&ryy8qZxT*xR{}r!L
z-%;S+{#kWuo-W`8#Xs=jcYIk(WEev=1<wAvJlb_aA58SO+c?=(KvkDduI)Mn3KT|^
zg>((US*y&j?VAde7kjM4GE-nL^J0QFjt2jRQsinbkwDk<fxo$xI`otfUq-kAcrePJ
zGZ`Sk#Jca=8*4JSm*CbX3C1w!=r!iZpb8=>H};4rslq~)q{z^BV{j6a7AK66peEwr
z)K3p0#G^~5A?HlsYL2zw?Q0~cIPLak)sX<r6}iQSrc7Y%VV)DqcNK{FFji42BM<aH
z3({D1O~F|F%I41%A`qG{CX#2Q!F;e=i0W$!8x;mC{r$>Nwf@&l^{zO)DCp%re##Vb
z#V(Dx#w$UB*jt;%OhLGK^G@2gL#B`|#yKJ{Nr0K+m?y&OcrbBDT<?-Mg|?E^`LKHm
z5F6Ikd8LdEd>L=5m<*V}pP|Hrm_<1VbJ?Y^vcvDcwaT3`J38*U_4L_*oh&evTu~|X
zTc$B=f7aF%Gl7>|rrTT3q``Sfk8(0#oYq_|!d+Bo3@xv4y*ivyV5R54v3&IvZQ~rN
zlt;%HHiP#l(r<}D+f2fhVbp`kabm%0JH8^CuD`IKQ3MzVG@rizI)QCn31A~y1JpMr
z)9335f^D<J#ajixvHlmYJ%paoplN}8>|;7Vh&DeJUEi3;y6}NNs%nftgs&tuor;G@
zfi+{JhYJ{+O4r7%5kr`@64sd6;0BNBnuTlri<mZGvRXTOw-=w=9KXyCnXz9OhZ7eu
zkM+|B@!AGZ?V~;=c7O$ZO5WI!tQIl*zMqlef%-sk{4vJB!vta*s)a|MEMV8Oba{#S
zdXU=d=vOSq0N)hDT1bt5v9@t@^Mx5*NYmlf`6~F2He?*#H{LLhJ!&fuk=D?Ki^=g$
zs#n%&yeUDA_=-Q6a!2+_*Bd&Z%^M~w8njH)YBdOrHJZbM%~)Hld$oaMR@}*D;4jUc
zv6b_N@Gne2MQAFWq79s}w=1<T&C$3C!yb}cKd~TdCvoO`T9B1sr{TOkO|!qcnIxn*
zjWICiD4Hy5f{5(u96@WG_A|2f=Zk<zj3s7dmd`^I=(4{Cxv>q?>e<3lP7jS^P2-zu
zX3ZLKoe~{T(ejNJx^0^~7&V4XvRXFf8frjRe63X2#ZH>C|6t0J*C<ARPKueOj0&&Q
zNCUDxUucqX*Q_$mj9@ZbP-&?`g*uI2f}YZKG%j*#7Ord<`;;b`56>v@^v;HWhH3@v
zrq&;aart4aH{|Wxb|nfVj;Coc$!F2ftEvZ|>xVGM=bFJoMd}c?=Wc^VLNa!A^=Xv+
z!y#;J>F7N>P4yjq;_oY6E5&w+OVJYV4`Ek>bspmo8E##3@T|S{4r`j<=IpB(!t~D;
zeVeo;LvNk!J!j`yjJHuvfkkK-+t=fg)9_vmE}Mmw$cWTqc|`sbcT$Hj`Oj0Raa<LS
z*<^pM%4){`7>LBE8joNxqXgdPe5!CGdS+=Vq7_sA_w0tcz$j+!O#j}@k_1PhI5;2W
zw__Q+Nj4VzV_1_*4%7Jv6}XtQ*EPGf6BANZy_HTI$KE}AO%ue3a4)ta<0^d*#@+Sh
z#l-yyOl_Moz=hkn9~Xw?oJ{*LmFx`PqcT(2ru3PchBnGDa_WoeLPkGU@Ka5;Yj7Gf
z%KEDj{ZI**v{hno!h=}#U=H@Q?I+fMzB8oz7Xb?2rQPRuAHpsZxq14xe_=$~;+J>}
z0$7}ukB<L5j0s{rvv)QBU;)ubjw(M^gtTBjhd(x>n6)c2VdCyQw(<6N8W)oySo#ZT
zyZjx)w%KO#qS+U)JWu?C@&E<UY!BsAdpCg%4csaDQ@V)#+*YyM-6IbU;?nWL#Z%Zp
zE9Z5#$Yt!kZ>urYQXaCu98D8%oxzr!4{6YDuVPKLk8kn5lY?c)TL<&yeqpmRaj!#a
z*D-<Yin(e{Ik=v#n4R@<4kJe0(lgNA!Zz6hZ#$IBf_(2`ssYSn%;VD;S%3aveyb(E
zzqMt-vSiCQbBBkoS-P!tF43cqy)j=tAQ_-HD9S$^wuoisnI{TL;m|vmh+pjcWWbII
ztri|$#v;ETu;X83L;^9ByCp}Z;n7-}u$BKRHj~ZRgjSgma|rd7Pq;L!f8@TkzhE6Z
z`1TDZLuEzG2ROyNB&0#PgOGogu!UK$&wQ!MXGf$PafhovNr7{buEgl%KkVV4&6ArR
zTxjxVztNsxDM)Gl)mIfvk92rHF3=bAAdjGfy*PC#SkzE5w~@u6rtr`2(w*=q(lt)m
zX+{zT0+M?x*BMdxnSY1(EApfE!ro8U??{4QX<hs=hFxgfRsDtlVK;JhQ)4l+kc1wq
zLyi(ORzwl-XJb1egg(W=Yhf8l(9fIyw)l!2-G3UE?f+Q>-7?B-xg;wIvo>E$odda$
znMP8T=P7YC`Ux9dwwDB%i;b0=Wjtu#dJX=HvJ~1q?t3Tnr6d@(H-;ZMghy`c3D5j7
zX~fDc*Y$=V1tnf>`%Pu}(UM#~lWVXn%8`wfy`3%v_v219-xt}9g75q}uI4C@sIqqY
zI{MOJWj}Kn4?@UGQwjzg6cKyBNUbl24BWdS8O4+$f(RXDO;Q(>P^9xU>v|zsc(WM$
zgCHS}N*J+vrV1k3+v&nYI3Wi{LEM#QeUj*Uv!RYFpDI#yX)DrWSAfGw^OyX*rIBak
zDvs5dj2Z*&uN~M$0NI}98<f8?C^6AE`g5o{DmKnOGH_fOj4zsbK24EB-y%o)>0VM0
zbLZovU_%lx(T${!*(ji-vpP1X`lzV?l(&qJIT?;ii}7f26OfbY^e($`4HWHMni@!?
zK<f7Um4+@Qq+-zQeCLxUs=89m8E3BngMO}!S5k<`DEjK4d7u`uXVFc_Dba$yhj$yk
zn~~6^=LaHZ>a-AjSNc%A$xg1%EyMP=t0H-eNn!)0h0gWH*ru-NL-y_JC{IB$G8y}z
zsIyNC{deDPR_d)0^p5s8pj<MFW~DOEpU^}~iSBZ>RRD6=>R(&2sv|4hijW~*10nM>
zTXXa#psi!~UCc-w<#F_BdD>DC&EquJNkvoGzW3;l@lIW8$bMHXiHrs^iHKL+4Ek##
z?M-&6qs@S-bGQdY^fe*ad%V{S%$9lkV;+!E!R>;R)^Q3baqqvGqfX`!@@B|;`i~k?
zpZaJs877UCCD}hNC76RC^`dIMqbjOdbr@LF5=OOYrHj?~%;CP9;gnZ^3bN<limIXV
zAo9jkdbo!<=nY0Sl<iSQFUiY^^Iml5;QL8yRR(joY8jT}Nl!pY_~Y}}^}8_2)Lx^6
zNHaM4j5d29R~`w!i7S*iJ5RfkpFR3}!4$?%M5#YDkwy7DtwsLb^bni+Oa~5{f_<&P
zi?wMfw0%&uXl9HBjH~BXP?-tLHog=+WG#-GyL1D76S&|XAM;=zuL*GRKc!W!3ZeJo
zvr+ELJYY&~z*(L*h85GfizYMtD1NtOa+v`hM$0~3a327mncLY{$n&C++<k{-S^1!f
z;i!_Q9e~xx4@W$Xup^((x&IDa=7V(Jld|z~GzcjkBEQ+igy#Ju58iyj2QhesSL}&K
zkaEJJ<M+L7Z18G;@54MknCLA(cHxO3cpjmYmuoCy->-Kl+>PRc(5F+BSM>%EBH>N?
zT04%p?uEf0hxy>(<lCvZRehLkYh{yHtiwLbwj>c1`QSfOns}pzJ_P62lDo${Xrp!Q
zN!crSSW~SwHVo5)pjo=>k31)786j9_L>nG{_<!Xd{h|v6KQOQC%6S?+li!ojDm-xb
z2cG#x(1lzMBhGTg6`E89e-vjK9wKVE_8p7Wfl9?1i_d(Uw5=flof?FPTRq`hODozS
zP+d-YVMPb&=9X<iV|eh1c@n}Epbe*(bK;v1Gk{T~d%CYAAFQ<%fa|yxoHR+C6SrW5
zhX>dL6VC47lfzBS_S1sYb$rKH0cMEnpZS$O$Oko7uDp8xTNC^kbvb-mcR>fk89hcH
zei&f4t;`MAglmL$`8Q##z^|hGTmdHl-u-eV?tGdMbXO%+M4BDC-{mzpyc2-oe=~8r
zN_P0WD*`jA<p9I-_0=zNyMg}9RlXKS4Oqs_w4Xl41vk$w+4qJEf<*Pi&4q0$3<?+A
ztYG7ToUFBt!dpV{NWgZasgw$*?`l=s?c~kyi3y9V1;UWf)^A@ONCm>>d6BIqUJww7
zJAZy!1il(S|7cF8Lh|Brc;Xv8d^}WQ^UzcbQrIFI=Qk;^-=#w5bvYk&T0h_Otx_EJ
zn=TmncTk{Zg@t$EEk8_%H0n-UNrIcn%ekZF6p)*mxxK$l09-sX5*}QZ0?#*|oyA!c
zxL+n<KwRDpO+6A>o~}DO=V?%-_kaTb1?q5G6NO+~ftikfj|>dI`Od!ehyudT5`^u}
z2t!$;X5uqrSwKE!=NQW<K-GIhx?3*-b^QCZ-<rxn?Xpf&U^fMxKe>)Esf)okyOo+#
zw(?+p%a_B2jS7#=tIqE$5Qn3V&-}cPC_sPn@vOOhRG8uZ5^$R;2~5+4|2;aX2xTWy
zGR^X-pjYqZ@z_@ivQW%$NH_sf22ySu;Magt_&NIb+R{)sMi-S9r354ngYBP58c=<D
zCbWc02IBpmhfLg32JYvc6A8+iz^NIuUO6QL4@LjeynTTPWaO0+*rf@!p3jP&)XGAl
z|CxR4wkj}c_oPrRSqmPkANl+(T@H-jo+&=dOoIE@2L?VJ(}tRttL9c`<UwxDz%=Y3
z3Gz;{`aZSOfvxr9GNFbF;Kc6GI76=rD%ICRt<7{H<8z<O(=7$?c_2AEqp1qNojxo%
zS?IwHQMnaVqzKz=zDdz!Rd_eM5fE>$4`M9s!5Mo95L$D;lJtuN<qe5T^KJ$Z>Tp_K
z;tK)#{3049j*~#<guh|KF+)%;Hx2jHP=aszse%)aRiOKH-L<6?M(}p9Gk-Ny3Br|M
zs65If0zQ~1NOh+{F?OOxEL#a)V$BmAp2~1Ymh7S@0pMq#Ju$dbci)JOjGQBYX+~_I
zR0P1$(9K2La3u&Ee0)0YfFk6Ell*VC1CZBvGwxEA0P$TSJEzHmT3?ED1)ni22iTYO
ze<T2S<z4>wRTdmA+?Og%j3H7yaq7Aj0rr}JLi@HfNap6p8+jN*V9k`oyJ$s_`{pPa
zLzM!h=>s_h$Bp3{<Y!+)3NUzM#l(GH40`#*XO_K;;rh#W^UfpkKv!gFE&oComO*VH
z$;KEiRguGm7UW=HF+*1N`EFQ~@JQXWli$s5JPdlVA`89U3p(@je9(7hj-O=}fG9}6
zG`lDR`>b(KsnNV}rhw;K>wAC^k0Dl%IcZ>Rk9XNMv~&M6VwI9Y0TNl3;uL>M0Sdh^
z!MvXxRN^<}rKtcq(+SGmJ(7T2{V^6d7I>hL<DuM4151rqpQveZ_&Rqj$z`1hSRZHo
zD<aZB<t4a<@`%CK5q<*&aYpcsm>yM%GJ?AfVi#ZAi@=W~Td#vF86f$p0BhWkA*{G9
zjOrB$L6=z5Bo9Up{xzSA0(A|c?%;(sX@Vd)4Bf6{lcNX4QzCR*_Y5FI!8^CIMgZEJ
zvkk5K>7ZklTt@k=4|0<Mi<#m4K;t#P@}Z9oy5}YhKke0rucykKW}J6$VV7nv7N7^B
z%i@M{p&pE@{>j!ofCr@nUa|CB^sryyWFrTU9$=mGLw%=sp&rv~_LFA-nDp2_8>|bs
zh<^LNr#$ee-mr{1%K%&GU`^484y5eWEY{oP21;j(=izP~j9W<IruXYW!emY5)DFJg
zC--Ss4lzP~(>-ackJ=#Qo8`P`gA=?@Ki+j>7c-1*b>&POXhY+kcUJROoDhhsO6RfO
z1ziz$ch6L6fqMq2CH^x9Oj*$e?4Pngyk@nJpRN{6bt`o+T;KrQ@94L`CD@?2#OXzN
zwI+lU7tNgaaln-cMt1X3c6eRLG3H>U39j@WCPN1}z~BAQF|r3I6nx4hbM<II%HO01
zq?;U|>{)={RN@8|on+g=6B;09*~cLAode{;UA6OX^T61KTIU*00~j%$bDv!~A?eI}
z--Q2o;eaaFgRC4X@JrBr$z<RHzoCl1?YVfcqTdh|x1_?cgSE1bty~Zl9Bh&Cg%7Ol
zz4<=PQ{Z>Ebzx^6H@v@HFsQ~R0NGCr1nC}AK#AL(N<7U2|M4djwYu(x_V3(*G*=3|
z3V2bK&C3gk$8WmU)C$6#;O!Y!Q3|L+!X>fKyzpwt@t2ONFx(}yZLf}~Lv$v4>UKOH
zZoJnwx9JywQ~ZCPzAaM++e57<-vsf2Y4N+M$yhPyaNK=H=s$JPzTh$6=*<uO=4vM^
zoFyRjpt#1|S#@9=E-QY1QUIc}tS>}KN<n7Dj|e?)br7HL7X5m6H?W5qo|=@Dh6j9C
z{dtb611@{~+r2tL2o~J9Bu$b59|k_hoD=GB#4My%9WM+jS~@7)LKZsv#O~<dREIkH
zShKQ=BEaL`+}66|`^)uzel>id4rg|Auk_4|Lcofso%elt_#XfO|Njh^hd-5n7>4Z?
z*?Z69nCIAp_dY10@l&W!Dy5;6>?p}9BoZy9QfNpjO?h9*NM)2tC8UgGWX3^${(<l3
z`QD#rT$fIhcd}wX6Q-FiHr(;b_;EC^>(d(@#0cEUTV-v6J;4&c)#<7j+3HXw#;c3?
zwVsJ?7fsNb^wHTlSPi2As>w2Tba0N3uh}PSitADnZBbt8_!P85i+jHwe!MZe)K_GR
zt0&VYavU`9`ti-j<7f1draPK=evKKjj@w0^G1WwYLD^H`I|c|+W$Lq~%yHhV@yV!;
z76QlXM~>VyL{Ee4vEE^GL>0|w<j8BoP9mzMD!~YX$|<+wyDZ@2A>7=>uY)D?#oJz)
z8sn<v>!<v`Eioc86n}qE2c0D{?SXfUQJ^Xvc!kdzaW7g`_twy`ZQ_>8pWnt<*7;Ax
zhiL=nX5zf!30*v%JZxU@(-`TN<}8_jC19zH5xKT>oT{{{K6A<#8CNDZUb<w9kL?j3
zS{mud&i^=NHEIMCxvu=r@9pr|TE}{VrH7fPU)$!nj8MP+lBV20d;D6tMVn05L&fp+
z8gFY25GK6XoD>2UXXJi<druF`t#*tpcGkzzt7YD-<A8605I)}0L(|ti`%k9O!PD{Y
zlI36EQLqkQYos3ZN(MF$T%y5MOz84}I}7TP9<J63dKm9@nW{Ra4eNKj8xEggLA2DO
zr!JF@&o9CrmV{|yI^~qoR1FJ0DgD_6UAj2$L9&h3sl)cYV}WNU3x}QCu1SjPVr0b6
z*d<j3;_8Mx`+u^~?V?q})Sw~dXTejU3kr~O@<?lKVL?T%v+bdx4(g-IzGRQcfF^p_
zzvw;-zxeXw^0>8eqQ{_M>qSZQY&h`KEuMv4QwLW6?9fCSjhYTA6vIRB+2j8$W1;$F
zWs%K84IE%*-8)MY#&3ss7n^zD;+N-%U8(9|N$(u@e#sA>jXP=ncY*s{MK1B%)v#5<
z;>3(H4@l{Os%{@ZAp5z4QMw8;vI)*zx}4Y&yJXQRZotplH=$;S5>~zv<@#7OM}+Zg
z3vF>H;C?@7)r7ACBHz9{ZLPs3#;1AtR-Cs-#TpK;%wRd3>MXKda{e!IZ2RSvAzgOp
z<xuTm70H0iu6G+4njmPu-u+jhZ-*m(r+Tk(Nh7>X*Z%;=1i^l?%o7o|sBRF9iHMVg
z_WqhfEv4gxdr|sKMfDOaD|8L6(2~I3W;Ln6U*klX<;lb<*(Kl!X}B`*TMROJ^-4mS
z6NF{My3!kaZLrqttEBL4QGCDqZFVYqk|;1y<G5XG4WmTUH;1Z3;Fmr*Q`h&G@M_$6
zY*5=80!<g0hKj=QQWmk3Jv2=;bq$`2J7xuS8L5|TB|^~geE84NWrm>QKBol_TSDh_
zk+aodK`hs~NYhz1N7z>WkgoK$#6Vh?!q`y(1gO6KLk7(gDcAbKg6l2NW2|e?`IH~2
zTbK6Cba24q?}3JRdke&Lz1YR0$qx&=uu^>`E{p`!d}cp1N4fOH_-l{(&}lPL+ZV_U
z<K9PBZKmdU)bCKYDvA#edvf2^HuB)Xc9Fx(GBXIz=Dq*El@IxUl-j$N^P!{EP)2Zx
z8K#7|?`DMXA-pEPuBMeA4Kk!gM71e&V?K}myupW+x%t`tae`28S>>DKVTz}G2b@VB
zewZywF`IW<1o~wzf#ZE9Sgnv;<rU8lufnHRdO9ND+r35jV4MkTw_k9x)E0o+b<OcI
znkZgp=^9;9H9_zAIxC`I0Q_+WZhIDpLH^XG81pJ76kZQ($bBb>(~MU$YH!5hGj(As
zZ4VQb%k#F@wF}{#Vu8_bK1l@ktX|Kd#KbeFy5a;;VO)3ob$H);DcpI!%wx8hfssW5
zP9L_5z&bs`ci#(XP*w6x948sb693uD?pln3%Qa&+mdPT^gF7vMEdv^ydxy=P#L!;y
zW<zt29I|Qc!>803Fzf9-)~zp&u}?P(W3DNnuOm#zWY8F^Vr`BF(IxO(_mibeoD#Ub
zMg{DOjiFoA%k|t&60OQ?mFhz(P<73_>=SQ{x6@TY6}zM$(kc>Kv{DVhoCEH^gN^ZX
z{PGE}JJJviX1LDpQAeMcS4K{>F&d-P1lI`5qIh}V#JyY%JpOlb#4Fzzec!i~dnU*M
zUX6yTZJKz?<~9l)Fvjib!>j9M6yWT4>4><VHcn4$u^|i@pcM;VtEy5&O_--_VS)~X
z<HzK$L^5FWL+a6w6lH|3kNctXi-ubp`cgK0VPHvq-Dj&nRYVl^-TS<jj-1TIciTOf
z&={C}ky@&T^6l3ib&+})YzPb~>0_eE?ScScK%c+o)FXAI_GLsW(F`yrjK>3KO+bIp
zAt70-fm>g`znqUVgw(tDN|6DkxRUc;Z2v;txkp2Jb8C%ocxQE#%EJA!uTXtHHm-%?
zIL(F|3;DLU$|!XEn4>TGxl^^U4mt+yOE!lx&_9&)u>Pn8<o=z_a#5wBMS@G*?;`^b
zgr;vCdufUOt3{9XXu7Z(^C-J1!$ejbR{APiW5DM{*gh3H)=j&I?KfuPeL45bu4Eg?
zci0FQ{G-FHRod&OA`=nU4L?cDErGD|P`PHM9%!uNrwTqT<k<7C$uHCnl^)UE>-_Zb
zg#WW`>J|p_l4e_kf7&Cf*mRxIdwnn!f0-nP7(;YL^s81iVC$sPbfl~SRQw;fgx45?
zRcF08v=Rurqgm&vYk<<&w6OOz`iRzV7!+8|!pw4>iUe*0EH4WEAecZ$Xl2z%S~UwH
z#f`776zPMJw6kzpjD|~De0_^F91!W9A!Z}5k0a0ddSj1jL3X$6Xxml?wED72AFtN~
z)BVp}!=O48lWzOpPj*0h<v9z(J#<8s@i`T}RY4Vf-@24c2c+Hc+%&d97kT@h=e(Gc
zhf4hB;{8V*pe*{R#F<V5+pl47Lb5c9W50-CqXWpTm5m?1Yh&A7uH>1+;z$foD00(w
zz`^KCXI7+YVL8jH_`tVC*x&hIlteoVQWj6`I1M%7>RnDBeawr^g>xNqDJ+bv(qCTq
zRvpWJ)OgpVabP8jzKm(i0wZnHX4MciNToZ<-#9l#xJt460^b6O&wU*qJE_2;RR6jC
z+Y#cyftw@j9e|Wo#P|CZib((5D7jMf7jgUald#7eK+OHMC2rpG=&9HslEwT^7<TA=
z)iEI;@MpVIyP_<-KlB!4vOW=2-ND_~+w2i;;(DCmlg77P8_gijCgNJHdAjjAJN&5b
z3HzfUi8~h*tVc&`iImMnGotToVOXAiVZFCF+@-x3lIqpOz*UZhqoTIxUsIkplPrq2
z-Ouy6j@1xL&xSARb6<jF*$KUU#llFrdus8mrLPH|b6%JBoU_6G+P;P->O$afSz%9K
z-Aw$Ke<4<(#~KHoiRFLl<Oe()?yZ~sKnQJpz}anSjlngWPJ8z7qV+{)iP_$-#K+?S
zpGwoMupK(K#|(Lp!LK$f|D=<s8tOXe*KY}h$;zLPO1TgsfArJqu^&X>0FnO6)e;>i
zXmbuhoS?^so40T1CB&M|pS~`!K+QVyRgX7u!1nl+^y;pD;@X4lk&f~fkn*@4-7@!&
zVCZ<U(~b`juMwy!o@@@*;rqo?*>l9o8QDG+oe`qzXv_h*X)}D-!MmyT@GPNJ`c|Vv
zdW_(gwe7|}GsyD2b~d~>LzF~5Zg?RzL8$Rj55s<$LceWSYN*}}v3A9P@KNo*M8>ae
zv)6Z+f?(cRIo!o2G!3?RHn>g`ajhGRU;bLyGlE`gE`MSZg2E{pv|}?wk8AqVx_u_l
zZOb^}%sWGbC>-CD{e6y5eQ?F5c$x{#Meiegcg+yLuG~J<V90?fO5tvBG82>0qSgFd
zvxHm^eeJnJoVaY>wO2u&3IEiyGfEA!#Cz`*Yrl4JK}jV@rS#6izBx9!OzQ0%@mMWD
zHfl2udN)4~Ub>tCQ8&(7p80=-9s6Nr>NGF(c#aHyeQk`OGdC(%n{a@BgYVatQhqE`
zwO(;b)EE`^lgG2?Ij~wMjUz5q5XmO1m(TeaVW4JUj_Biri?qnQg49K@IarbqS851_
znZSmlgIrLn4$rDD6T$jLi!yV?3=!gUxBinD4~7plBrWC_L+g{fs=uNPV0&ls^4wZp
zv<Qvn#IF!XZ9(;z=8!(B(`OD(F7QL_kiTM9u>``tXI*3l=|lBI?rJ^<0aS*+Uw+j<
z3J>I}<+W$@@X?TFe|JO><-wU;v^UZaS6Q^(IY$q6ojVrauU~}BC&#)jrOP5dzHqVH
z0<Ygw#}n=*5e(CGt&fJw;~TxW_V64XmD3MjZ{-q$W!`)%Gf5F2i&wNJzNJIRamfW$
z3vm>P-*9Xvl@V=P?^Jf54mWK+zwQJHSYH-ec3(mb`hRO}C-2em>NDlM`Hv)G+cl2L
z_^M+p-p`<*fsPI1*BuQHN+aRjP{Y1*4ba>CcU>0JLq^$s?pjS*Y!tmdaMn}{jA!m_
zr$9aM=uG+U9g;)CdI!BKN*nIs?rRTD=pn6l*AVYl1-!`^_jKG!!=E`b)xtaaaNF5C
zJN`=viN4$|9@2DV{26z;oNIt(Z;#v<R8Yn05}nDG4|*tAle;Ua+7Ned9ZmCnsD_n;
zzjjYwG{76Dzdk37jnQCqHtOJzIy?@FsPP9FAt1uDZ0&vqxF(##x)(ey#9@!NpacWY
zeL9o)_c0OEy?fugcrB<>-{}3_3<S3@Ge2aTAd6A-A^3|n^o4WRcoZ`6F<InqLANR5
z4@kE)nb6R&t!!`CN)xO~_8#otXbw}}+}AZpx(M2~dvbG=3EFQBuU4D2fc!SmmWhS@
zTGij!IBA>W?loFRz%whHKUN;v%cYNJ!|s9}j;1h>o#`+*Z3BrnYLDFH4Zt0;q99qr
z6gzIPcSyw8qDf;s%TK@%*UzN%&X=3O<j1LI#Q=M(30{9LYT^F5Iym#qi<*GyHss7#
z2O^`{c@JETFj(Vhb8ms?{_zgaken>k1iHBuoiM`h4?ImvnvEfSq9Z)|H49gC&-^Es
zVg$AMGG37x12i{HI8;YCAk6+<>=8R7Y`%3`EWMeIdb9GCGMtV$K3S?5P-KV|ugOoY
zp*mQr%jr4k?+EX2ZIONr2I$GE5HI4<MEb4iP4;<?P%kO-Yb?{pTvduo%2HK)j=Z@^
z<bfmP6mHIL+M$OBC5D~HKFA?}opC4Zx+79_oC@6rbrE&rKMAT^0ynkBf~O)J@l<=V
z>*^XB%7d!nd+3X>ZOJmb-wa2La2LuXUDZaiSzL4A!hB~o-9P%{g9F|Kw>KZ})kMlk
zz1Jty$BA>rw`FbjI6$qq#@|+712J35d+Tc3h-(8EoyaK`q?hgu{1m2!&Y`BLjL=u4
zT+!~#@K_cSEcVe%bCq#T?@_|h#2zxo;q2UbZWb<vH`~S^P(Y2uF{>P}5z_o>y8Ojt
zAazUSN~dsH*c9aKU-5W?ENHQuTOtCa&`oKnx1|s~{cOkH`%`4Zch=Ko`UG^MuN0Zf
zNi5Xu^{ns&o4nHCvq;9#9-{uz4^M}RVste7l~m#k>7W~8P_)$!*V#ebx3w1Gr*7nh
zw8k0oT!4(aQ;IFthxm`i+wmjd&7{S>^E2d@zE>LUPnO{FMM+iGQ*KEAF}4p8o*_kR
z#;#e6*udiA;~j0MIl#}Z-cswxCfN=10wcyY(1}uKE1#GlF8Dlpp1NV0^zGC;m>*^h
zg?-9$YcnQ^xr>9Bwr-gsSN}b||9hnsE(@J>FVz|)MkTU0AK(3#lt?bNaFDV>_`l3L
z|A+x%@v%LJbB|1tv0taMw(YS*cwTo|Sb8^cQicP|ZcmV#6onK1yt05}VNmJX-gY8D
z##;K**f{y8vA5`qfd#&WSZFL!Y$3d+mU`FujFWxz9aB=L%^}jzmzyS0O>}dbDC_r*
zk@1%{{L|+!hi>lfM^=WHiTq8zgFI))$e5W^!-f0Jpu8vI@(I6(q=Z%T_uPGBWU=9e
z2i^;F{kb!8@#?-hawN}a?rG2%xt<f;N}CqEEGAUA<nB9?;bQ&wYxWqKn@DEWeKA4I
z%A3d8fvse+f{%+&_ZWGg)F*=FV*-(=*{JHuZ{*r`CH?G;<K#(3UuIwj6E=3Hm4(~C
zlS2k^Y|i;{^0Y~ux$zDr8pt!kEsZ}&I=RbtMg0VsH-D%-Vw8bpRx{3X^d7Rn)6&eJ
znk4UFuZUS31Ialy#|IAek<;Itb{^~cOBRM3+IdPcz*!&p?nO&Kx$MM%!$y;7((U*8
z-aL0><UR;rrerxt)_+;2JXp#m+he@HTE-h8UUJ<4vv`=a&Qj@m=s!z3JW8tB`OFZ;
z|H5WtR7c1lL;cTXuK!4b;!htKYy%u;G_2J;I7;?L_6VArb5I=Z`$uyK1H``O`xe|k
zMn<f(_1W*wNvYL7=ewP%k8J6HO&dZd$ee3t8k_EMQKBbpGSk}iKyi4={ZRZ%MwkXh
zU(({CwjWE#+-jwVO*`Da*mX~lzIlpCTF-eY&8(^R9p~t%=$F1y-@+zu=S%LjiRGuV
z%{*rMIO+I${sE~wJWB=z)Tt*12~s*jtcc|YbkV7D{us-8p6uiwIl_N(5%rUIBNz8?
z8fqFY-l4Z~P&Ym{Mrd`5P<g9moF43<LAk`0J!i#5?LD#hO{0w%RWaakNoh(4#H*AV
zwTIl)om=m2yuB(;{caHWM@!cM^TdM{Z@qY_3-ZzZE{2knabAAMgs~1%|GdtRQsJkV
zEUgs1Z&H-@6_?_!c5TG>{^4vD6QuUvxoQ|zCPURdIeYe0t~OqOsr&hXxrln~`83$!
zi5#W7cCo;}-P*WN-oNf_q6j6do9K4yw*qyxNAqIr3T>1`OzGMPh*976leu?RD^t?9
zo;>>DsJ*}sOZ)c+ic>vIv%A85s+0xgMvL;$M!00O*n=SnD({T>P>PQ_HJ94BTjQuU
zRC9lX;<OYsDN&wg)}cY2Jt7|%(5#IR$DmouO)`|?(9<KUW3?z1mClL7&N|@v8c0i8
zB}bi+*wYlWM2FgWUTNdjejOz2(I|Zupg_?!{2bSn(4`zxkB7gcXh@n&i0&v<q6)+P
zLTWhlC@1$7b%O77(ey1=*;GQ6nsc*w(8Xmy32pr>q@$w;_K5pH=sPtE@8v5vC5)&8
z3iB}=tMxJXa^J^3BMr*PYcM%Of<dLOZL;ckWC-uuAO1$<YEu82u0_)1n3REvqxBgs
z1{8mBKM|7Crk)f@DjQ0eP*Tyyb#H87;$4|6xAjFGs&m64S?|9ll<S`C3qQL|&>s}d
zub`t#)kd^tzbiMT<WGicXkIeI8$AnE&0BOzKu};ujF%ZDsAO1Gc+3Ll-&$-`*VL!>
z#~EzA^2m&`f7dP<nrpSdx87~u@di}$>AM`g@69Nc!YxrR8*Pvrtu*+9G^EUZ1oX2n
zn^AgYh9%#m?6B!@d6V%QBdVUYK6|l@8Rb_$th>&ez&`VDBVR8VQ$xII1x`#;N=DIJ
znX?899PTaDBF><82iN}hb(~2}`x+Zs*R#N@>L>?829@R?y|;K5gL*TON{=gX0I{XD
z*-Du~ZN2e3Yrxi!BCnqA=icjxog(I+wp1EZyP3{QwN}!pH#!Nsx6e9a>}Vz7KVn1;
z`d18bF|?_w%j=#6dOJbUB{?If$&hNeDfU@WLY?B+^i0(x*$G=5IOB778c<>n^R_Bl
zDNvvNH!kl?biy*BBY#V)^{5)3dnPmAB&grUJs;+LoG|C|T<Fq-E=7wKZg5EvpeoyW
zPo#@Ep~xuuQ!XEkx^eQokh&I|eAvZ*Q1_N2IGjb_@8;8{bhkJrN*RA8W&T!->YF;k
zsrpT4GN&fx>8!9bUaE`8CoZlqTljCYwXOIwE_JG2dWeBb6U4mfL{g2G1L_~{4lmMH
zp={nKB=Wh<6RvzrU5m3U%;q>rIs_|F^1R%8RBX9nvfl1{sW1zb!<rXGM`bAPi{=^A
zwY-qu$=J9v0Vtc*{~mfrlCrlSx$-QUAA|o)haN5X?~;_djNdoJs4Un0nnw}^u!h(r
zMDh>|zTfC8@p=)J^iDClT0{_9Sq6??lJ>a0#CA1DB_Cz0mgc8!DTrNv0$Z7ec9^?s
z-$G|{QAOp~?}n-fqAe~ZeZbuoHy6$4i|Eagl*QNBonHk&jHy59Ke7b$qlK3Ly&5Nt
zO8?G_#0j8zfHySqi4Bszvg~;`4v-z`qic_;2teOKk*l3;4ff|s53lr2@?oouPASQc
z=6?sZ_c&SOkH4gE2~Qn)*;J>!WG_F4-~U@4pKS%k=y4VH!DmF=*y}g3#{AG7uW!g1
zw8YBnH6rY{p9uYAa?ds)e%R>hvJF>Q!c#{5Z&~sWVjzKU^9nA0?6AMR<HubKI0rL#
zUJmXj8hj62)l%Tcs+(^r{S_@x9^Kfmamyc~Ur_#uvIjr7bQ!cgspiNqt~CmA8zWd8
zQxASFc$`;^V|v}f9sm6PFwX?{Brz`Xt)|&b0Fs~CYu7}Z;fC$v)%7`3#HZUArbOBW
zK%Gt#9cC~1Y`<H^(Bc`wt5!Lv^o}6ThYdbD8EXn7-orbR!{>-QR|__NEfhku%&00u
z&=mX<jXJX*7y9EOQT}qlw+`7CzWR8^1YsUOG?JA#!MpG3?glv#47^Gb&DJ-;hIyyH
z$TeIrHD<@AW-UhObnTVomrO`}v(Gfi<OVBeQf!-w7{qlFygqGZf?4H!$G?pSnrl90
zFIyyzm4>b>p7Jp<?VFjNW61~m7Z-do#22_P;JRPfT?Qm36cViq_;L1CSy`NkByKV)
z$2V?fplXF_M}fW|RxN2)3EL+H&ujiNZ88kRC0$*u|5^ymvAUvPUP*&?Yx#%IMaK9$
z7MCn^Oc*NjQ~rjIvbbN!`s-?HjHE653*xpf#?=7X4?}Ho2&`h~1~wR>l)RqmZz_g5
z_wKi+&MIJvM?b1H+6Zm&Q8(kA#WCOV<LkZ%C0N}S9}QmcfkTzD>^u7<5Sd|KQE*TN
z!>`iq{H2YsG_O)-`&~(#KjqAE)LjiZ+FMoWd`93=IQMU{fHbNjE7^M@)e&O+`}!FP
zBiPI61&l??;6|sxNMET2SoYNHw}toPgjlvT9yx>!xfX4h)5P!Wt<uS<Mo>BHM@8L~
zhxfY1T^Sp+@ouH=p|E))5QDX+efB6~-0`03^_M#6%sff7UNlCsi}`<)i!!*ic0I0N
zqKkdjyA@N-8CX8hv5L)7h1kA1N3~~k46aw)^s$VAe82BubvM)ys%;V(XSd*I=BG{O
z-I+*wcw|bTLLD!M7ya=rH$Y;AjtjrA$%22;=7+y(;F_55kz>Y2@buNXp4DxFfR$qh
zI5@Si%a&!b?1V8Ci<j9y=rDz7nZENBT^kn9TAfw5GjP9Tr^gkx8P1tVtRdIvK+=v+
z`uhL_H)cLx3O2U@(RkyyUpNgdJ9_8k*D*218SK}1!V(=;zik$s)J1*X@U_pmOmy5m
zd#7yP3bC5az2-S|D0EaUKl+G?{`&?891?91p%n9|DnSqKbBivlzrw`2=pNr&GPa<O
zx+l1=)rVe{;BrkbCeA#qed~YI4k540V@|X6QM`NWvD)_we3{U^^pH6Lk&_$E--H;T
z%kZmQy~09XDJE0uUO?}=FBj~d7+^3->4DisBkbVjIh(ZLo2@PXMck+{0PD!otD5=-
zIQVm}IpYiqE2e(hmYg$yf0tINO(`9_6f-rNB^@AL7}YIeVt~_+v_15AX;9ESu~8$$
z0i`1KfsZrw5%Xy!*L`~}MDTS8{k-phnfU>}r{#K3(#ROU6{e2*cih4PA005tyYkxL
zV>(WMaXY*Gh%#ai3vM3!;(%=Xi}j~Y=q~K{#1mCp<S=|dXN66*1AM0Jw>LP@u+*r%
zt?{-b@;MtOm!5S%tF)IT?YlM}YL5lD_b*1t{oh;1);U1QHjPg>SPQkEKWg!$@<SoI
z{j0Tr16J+4*|e9v;Fb1n97Zfoyx2UM+I5?SpN4%kAqnbO8>s$;6q+JdcStvTy0CD!
z!ZFBIS`Fj>b#@gg3=>a|pIdjh6WFyan3Ub7j8kfi#KcG6iL!luofV;g1{uS7@VNq>
z3M}5Si@$*|uJ_@e<OkY!X<C=r%Hc?)@!PyfPl9bSM95eY_<8EX@vd%Z#GUfr*|Gg4
z$tkT-Jipl<lU3)3!k<ZEU+~;no~un{ThPQwzLR!1*?p}(p+X!#pZ9ey9)3>_wRm3>
zcwvit^9GXrO%(RKrFz<)wUE32n&ro{m!Nb*<Kk~;gz@A{+IVKxd(xk$Y|mY*B{-+5
zITTtbh^K0gD%SjNB1dP|J~$g=gG%A3$qWI0oVsiDA;-C%yl?dD46Vi*`9D7t`99>q
zT#0Yo2AN8-Wlzl~b7^b*4*&rF{|uLRIMr_$#_c_hna!~e4(A*k+xM}GLXkodO`;-Y
zMawD*MJl0$?3G_u<on7fBZ?v_p<#sVWd8d1x!&t~?)QGL_j&HmnOOIcoFXP5r2D<=
zT`k0`j3+K7oz#c@vTh>$-x#20Yet%Q`7tJuFWAh{qz7vW!M9^eH?g&^rddX7IOaQ_
z{oyE44-RrO-6659V{so}9=tZzfk^~<D4va?!wRkV+P0>@SfR9{eB4Ga=2h|{i*ZU9
zbd^kvxIh2FaHq4>et|)Z9`Vv~(peY08%5Xxte3I7ej)dnMTaq|8->SMUh9Biw&=BR
zh9yi7mmX$S{)Xj5w}_C9bzsx_lA_Ya0_HNjk=Shb6ASqu=Wq2)8|Kx+`KkH~SZrOA
zSfcX;cJ^BZ1C62$^-Q=Gxp*GiR`Nt_;>r|uMf&sY!7>`WsgG~-cACdHZKSIm>VIQ`
z$xr4<+B8_U6ycxNn8z0WxIW~$K8NuQC3o{ar$PaBuWul29xJq94|r_0fU(1~M?scU
z2-q&DeB#JF_DQ25riO0`J1*mr=iEa9=a1Clrswn6WiwCd(+kVkcAX%ByrUGzF4s3x
zGhD!)s&!Y&FRox&2lkoO&uW1_yGc;%*9DB{a*;!f$QpL*)!zAeIW5?cR(8+6Xb}rF
zk+w{7+rW0_DRVD4YeK_n4{alT3Hzhhy6sNa7AEFXJ>QZ-hN~hUTW(e^W38Qxga`VJ
z5D+^#erZqx*21?Q>n#7lO4n*su_sJ0J^3}&SXl!|S?lY$o`115Vg0Q@3JdhMZ*r)I
zsspd9uM*+UDmG-u!(RP`6+Axg9gXf)gTSGzX3_d}%yja_gSv8dXwP|Ok*2E#XSFMN
zzf^2uQgNK`B1$;nmz=p^_ahQK6Ti6ssviUJosKNq_mLZT?R6I)3X;IQcPnFW79;#u
zFKX4U%LgLvdR%!4sz7KQK2Kj{0@{aDu}6**fWIX-CQn!uUhqW+z3^gz#8bc5jk*M2
zi(Y7P<B19^Tsids-(rO`6~tam7a_3zM84o>t^y}^QFc4y>`=q|mS2ob1b!`yJTIP7
zhV!1MJw^&R;SuK_&#6ICpr5{DHS$CmetzL#UVX_8>?b@biU!0$rakZNx}P%KGX1hA
zn2!&>DyROoXO#pzYO%r2P8m2I(pV|h1aNezq?LL~Lv6^n$BCc}JOu?W&g2TfhpQ(H
z-DhN>=zKuMs_nmee#9XmMIjIt?CUgfA%bJX=)=81%CO^FSOc|57~JS;1BUPAVU=4a
zZ51hl*bw%uF<KOk*PYC9^;Lu&<vZC{s4DOxGL|>`v>3Q`ZUZrCWiU3XkZ0-s=Y!xW
zkI^s*h#O0{+!|8>yOQe;F%MPY6MKAA?NcdmQ5&_}*G7WRQ-X6bc_d(Ry#AfUFALmn
zY2?;=b@<Jed_8_n4Wb6ci*wuLpgJu3Izv4f3Wp|wjz(!fcHU+A1!;NM+Q^^V-Jk_A
z36k3@yfoqQtK+s;BNSj?R<E$^X9{#uTAU3XDDcRg*s*I-5h|@D6m#EDq1I(MMLdHF
z>(R`=`2P92^1?HHx{wA58b`jdh-<^tbp2zgX%%4S%DG>DQX9fzW;pR?9cbXJ8#eVK
zf!{Fm`It>@7!s(J%gCU^<M)D{74Ox6>F|xYP<I_r_4*b#nV}EOp*zy8)ipq+ukP{m
z1s!;3WrF+H8$wsbpum3~WZ+J%k9uXR1Kwxzopw$cgLv{27v2;9?t#^fw{>Vkb7$*8
zC20(vO$PYfrD*~G&WO(OMH<+|U$f$R2ylTlVIt+Z7IcR64Y;&ZAz?SR74pCgLNEBq
zI4)_y$qU0z2~HG9(c_AfxL^*9eoh^WpS8f|toc<Qj0`Q_=6l0*ETFXR&6K{M7IZB6
z(5M$lu=3Y9??{sccvSyoYb?=(_42CG<Qq!B;QeP;pn@gn%)eG)c}RvYY|rk~?+{@E
z`|j`OWC?u_q$+!@HK4<>uBtsu5^S5d&rQ2n0%ulpQev$d$mqW0uW%5Co7?a959nIL
z+Kc~!)HhV2RPT~$c?CD{u`=#TpR<69!fLt(Q3bAesUKNC!~hauNBMUoTfo?W>AMD+
z5=e<bf853-hUhu#eMAc=_G)2aFjW92{`J8)@g}@mV)|fSwmC#_j^DXtM+97O^WX!+
z8C<i&&R$x^9Li6>$e!ty0WK`O=N!XdT(Mn=BPPWR&hCFX8>J%&nkVCg80ieibvU(2
zlGhA8*Mn<2TepE9>1E%m5hm0le&CeCH2}rPyqxIU!oa70bgBP87IZ6;lpx9qAbO|q
z(w+MPkW<XyRQ{0_y^gqWB$FS5nav+RHlOoCva3A%n_xENJ?C)fw5%xv{mSxri*vy3
z)S<_^|FNOQD%Z9K0}}|Be^2;p!~)k1mb?=4*pQ=b)6xBhjKQSv47q~D0OMQb1D8&*
zp{a`n%r!TS;2S9-;ym+T%zsYRpC-bF&R2JZTQ?iR$=dRi`rvu2#wf3Ay_^+&zim)_
zgvAhwt#>JBm`q?Rk!SYI>|#Z-E*BS$*%|<qKUF?7?F;63O|kLVZx$4_Jg-rkrVpxp
zJZ0?jEtv9BLHW%r7L?ZO-12cw51K>H-9FY-g<mF2qaGg?)YZ*vZEvp!CK0r&pR(WM
zI|HWKt!!D4%saHNvYZaB4~A|F^N-*!Z;)^Quwg;lTs*33#pvKv*MDbCV+_B_dnD}l
zaTesX=gpQ#j4m{rIF&wYox;_mZaESD_5G_VPE1<Sf%my(VtK2x_|HIThkIKrh`X49
zg~?wBh{ijH7Q7a4-{<T@X_r}1ir4$YmQ&g=(6ga7QMrUSs^1usQeZ=nOZa4VS{q&o
zUKDnl`Ge!vvzR1)u_5~(=Ut}eY4Ff7Kl+%&DlT>ZWO&|3c64XrO10@l8Vp|OdUf7>
z9misYRX3+N5XakZjmA7Q==)w6c=pUD9yjigc8$b^O0?_FEIguunm5P2?~V+}&DQ<!
zSRywHEc<#YRG$hfo+gbg!HmepR4;~6o)_6#1TFvmKmqX+F>Y7^6N>ClezrNnhvJjq
zcVq|!qz8RjA51c%YSx5x<&y*y6>)ZtpBx1y6vNqhF;+w&S911T5I{7}zK*3dEvSu~
zyV6>~hA3r~?BRKWC^MM9iGf)QB=`T?K2PRAItg*k4YNY%k<ziGfgnxb{Wa-`cX6WR
z>ioYuT}05PO3<~K6*4>{rJp<cPj?B2)Wr9%qUfY)@J)#QH$MU-#-z^iqMr_xe*0p@
zklfxt?1CB@j&$DerC#JmXJuX%yYH7kFRFB(jeXI8{V|i`fgcITXqVN&Y-=er_v=?}
z%o7br&o5<Z<q$+8YKc|%4$Gi3Uot%MA~oQh@{*g9gAj^RBi~ndkV68wE!!6_Xn^eJ
z#KV&R2_wbAWJ?rHM725AViyuLK#`KZB|s5H<DUILuXM>H4Qi%bNuvfVdiO3{v~5E=
zW?K_eYKq8JN~pqDj11j&rQCU!#nGSZzIT46Dk1X7x6^BP$uMeo>)PABl1Oj!J?AxX
z6*Q4E%D82w2~m$EJbJC9(YE2AyQXqgQPmAC>%%fy@WCr3dD}i&<gN0gkjYdHy{A|4
zr;1Tv>ba+{2$Dl#T#d1|1L~-b#o}BIPJ!a99jR8MMAScKbfDxc8I4t_nhnQLVOv&I
zJDpzv4c6RHz&16JXZ`Lb27em7W+ykASt_EdO>;+O3@J#}{(G=@xHgb{2cC>xR6_3)
zlNMsWQIOS+qKu$o9SC(?V9BXgM()pECz_q7B7M`w5X&uHDEy!hCOoBrI!t!u<bS84
zfF0sKwgGw&rE)&KQ<#M8Ez3N9Y0%L8M7e?lqX8T(3w#%+riO~1dcVJGMMDxFHLQi6
z7(&FAo6J5+>gZS^=T1<iAwwh6-9Gz_0q0H4*4<D?-6H<C%->Q`v@P3|ExRdjl)tPQ
zD9}K!1Qn}-jHt*t2}WE?G4Lm*MUE?wQAkY3_BJ01iab`{SoUwPG4X}fkdBkl!5r^R
z(H2c~o2M|daIYB*core~lVsFGxb&pcNdr}8zjHO1H3PNW36E$p8FA^qqP<Qfp`Xf9
zUKxJokaC2(>Rg2eV(_E?&?!+y*89T`=5?8aK#PEI!m2tlxV>wyQlSFs!noGvxGjKA
zNWJ`uOC4qWSleM(B!`a4nEm*nVgV{0*39gaB$Qw6{BGlxBziKKvF*B|1r)xeRcB|a
zA_lL>qC|C3bde*gU6$1Xy8d3Cexs*?9%e9AT(uBDghP{Vt#8a>SG$@2N{tfgwE1FF
z-N%VCBTSbTBg~<D3)MT26;Yh2F_qVu32lG2e_obk4#VAC8_pT>$V6;l#f*OiKfzij
z>C<cmCU4g3ZxV>8q$pEr)aMr-p7xymoQoOENh>AZl8{A({&&(n+dtr6j!7?=jstk_
zkD7O&N}=-B{wik2Qq1bIfT(s5z&BajT<U3Y<T`uQF?OU6vzht5Q;r2dLMorJwO14c
zC3Sq$H5$dD*y0U}l`&9nPwUF{7Dl;#g^5!2Ke31duippQn1Xo%cB_gkh*)&ScajcI
zV3TL7ovY58z>81uZf6t-NU&)1>Bk$BSg@s}pG2lHj7yUL*d_5G?=_q^>((UpN@Cmh
zvG+!>HQN27+K>|^9W>IBt)9TXnQ)Ux1S6315Iy+Dhz&^<>)H1hj$^kt%-oTKA*c&E
z${xAJjBwHF&z817v5`AZlY>(Yz|oA(htn9*u@eQ@Zo%&upO2F}&zL?mm`B{~G}y$I
z^S#);i$<`rCAkNBhWb#fzRr+zdleTEIXl$pK7=he*@smm=|Sh`k+u=fKlpBT1tAx=
z0qkJO^>Bk(IvhOea@Hh$5%;F*YkT;<$IND}=i?peU}{?AiuC7k^V@n1>3ZGR)oZtN
zgKBjlk4zad)|kaP432u3&$eL3%D2AYin>tt_xH23!6`g6svvJh^f@-$*UM;h=U-0z
z5=m?LIf3ul^HfBNl7%VeKUHX8*MW#L_a3;P9>WQ>TBh_H={Q@Lm$$-YZHV4#d7kX~
z1E2h~dnLP|3YR=pdck^?1_75Ss~pe1;p>qf%_`bn;;W5s*!V(e@I|pTcGztckJ^4{
zhGVl0ceFOx;k-tLe&^4Z9y^TS!vXt_ez@`$Z<#-p&3Tmyr|;}OC=)k~t1yJQeV*^d
zx88j4<l&-%KSR2E&E{8pd9`v__E0~r<9qd(^<4^3R&RJO?*ED}D)c>C?-;~wat4|6
zl_<dM%&V*`^cCNu!NerAeFz_Nw`(E$Yk^62U{I?1SNzniKksCJ4dZ)k3~HIvG(mi!
z@6bZ(SG@CS<q7+yQC#r-x%rX~GLWQ5emxq)_;pkD?3VKH_?xAScU(+lsL;KXiT)eL
z-ydduJY4e=Pp6p)ubF6o!b7d-0nZWKy<Ci{H8PI3|EQTgd|4gR&u$p^YLDWM^}9JD
zw0_}@Y@8NKt!f}Xq-ejc@ePmT2<=%Zn8yEZJnJ9}s=;{DRc~Fp@3?$V^~QDeS)5t>
zVuaUG5?IHo?VC>d@$WqnIffq2;j@oBw;F3zVSi&Tvn=Nre)w{X^E284-XoXFKowDi
zBNzAPIuwlKT#M9T!mmZVH!+E`Bv1vuO1*#kAaoKJ>LHZcbuQy6t&LhbpOoR8^xVy?
zi&OaD3kCJ0Pb;`<pEh5Il`<60Rvs*<oxu}M-9GwGY7NhL#y5YlQVF)-ujH{#oy8CM
z+ZRvY-N46VuUH>ZQ-W9LUBApO&*6{E?Up{OFrb%H0dDtm6yYFGpzrUH1-xe0N3Eq?
zMr7*v@w}a)BCyG(1-HmA;WxUQi=u6rk=w#&uZ98z*lNluc3)Y>{f`-9nNqBXA>Ovm
zP*(wzlK<-!+FZf;m-<;6B-zmqOJzURSMnfq@_E4v{WW}NgJi->drl-@nR$o9Qy%=A
zUDTeHY~UVI_;#i`Zlw97b|9QV9-2w**UnHGkgzrN%#IU$XxO7r&%S^N;U2q$50o*Y
zLwylmK1BrNO#HfX{vZ*;ve+5boS0Gc%%SKC8$rZ%rDl)37!i`F=aL!}SW!j%>3}2w
zVWg$8x2a=T4pi=aIcF!&j-qQc=)G*BD7RBIUB6lmnz@$sjyQ3m(OUuAj+4a@)3AE+
z?F>24eD{vwa|1VG_h<C5i<Lm7%`z9x-IaroHCMi|fBMe;w=@_hBaJxS#(yzAk%O@v
z$Z92@fC^uW3eC*QqHC`^j9A{tfnZ&oL7TZCT2>G%o4razruQ_976ggVYm?yhoLLx!
zXxPc{krj~PwAu%ma3UCeBAvc9BZ9c?jdwp>RYbL#@dfpK@-Uo5pBrWsL)|JqvYC_0
z=+Z8HgrP?sY!4-ejqQ>^3|)R|Q){Yd5ql+~+@%1LSr4~%y_7;}oA~uMb#=5g{qdw1
zj}jpLZ~H!;ltp;yt-4czWK?rSMQQl1GQ?aLRp2EO(USxD{72tup^)y$yOtrUFwp1Z
zACe=FhDYXqg-B45@lH|p<8^8<dgcm0vxy?wyW+9C-kOHuoJhhxK4jPsYiyAkQ$inN
zt=U&jY9o4RGX7;d1q94YG$J!p5b1lH=>7m5w3EtGVJSj`9oND`*IY=*+UHM6`(9o2
z^Mp<KWjP&q)|Yofj-ZZQ9?G=GZt9|&_qONA9;bt2!67#1Y7Jy*^tEK}Fdf|s<>}S?
zqz`OHwLjND6YVcZ+xPc09eJ~$q>Ml#c<Ffg#&Cuf3d-${-zGvwp~jpY#Y9s`UDs{p
z_n;uI?`*Yx_PXfTm}vXNQGl(T*Y+s1Q4o1fLg2?X9c0TpFcz0<26u(E_8elPqBZa|
zNeQN*#){)#8r#j`<NT`J0|6@9|3}u^IGlnGY#GiJ{^Mw$;lBr#$0*2Et^0>phz4R7
z<Eh}iW(i$m5_%9zK@Xo-dDC)L(ChTiJF@w#pyqw<3E^2Sr2mVrkoSc=GFuxaH@H}V
zjnJ&=rvObv|B_ekJt>JyTC)?hysaRyYmArmU%ryBh!tR17eq?I%ne}{R*+$_-^?*v
z4b?1q+)o&1MJ6`Fdg%+6AX1q{zj;m-$@~tiGW+=(5C2XG$&9dsma-uwIdx@382e9S
zsO$@NLE;`y(5eN5n}n{i4l1Bt`4%hJqpMhw1L+ydF$-v2%G}SIKt$c?*9TLxSwQSn
zG`YCd9KIj4b1KP^K}p`eem>S*z}z=HET(D>`RW&@i5?QDN$^94;c-65VRRpMzG((-
zv}44F&Z0<~_V*V@CIMzQitGu?0R6Uohi6j$af|qUI3F(n>7K9mbe;g<Xy7<%Ys`n(
zG5F&nCJ6qujhRsm7{v6k%$JU`Bg!Ld&C>@2;Y04W`|7wUtekOOzAVLrh}!+NL*9b0
z^V-Pxwr&&XoBTQz|LQNU_te|XW}hImM!u$dO&kB?_fKwyp0l_f)8&*lvLL{w+YM%M
zW0);Fb3&&6E8cP^lyqZ50FvGg4Y%zv0)_y~hpRF7@U@7~LRN1CU_Sh(UskdqJoH<R
z8p#>JYB6o@;%ot!8Ms=MFl+!Jj)SGA*T%81xRTWVXaU%smZnfnH-MzWALO1a&0)gg
zhR^Q@3jpt{^4B|4^kLv>`d^=)%h(0?M^P`s1i(rKKhnIW2MYW(1&+tou>Q{`dMEA(
zz%k|ah^&)(kVkBz9gEn)UJ7W?SegVtRok`W+7KOj@BQ^uD`14<auq@UaR@>+;fOT#
z03Ck*GD$KIU<Q9KZAr5eg0Mwm+Y0!s3v*Y3udphzf}Bt8y!B^6h;tzO>K)gGvpm^V
zo-J&^npGEI?JETCfXjw2>cC~C3gI$04sbYC`LtL_7%U9I-yu#1P}7b4=HHyKJ$XU-
z^9NywX_>x1psWKuYL4GlBe_A-$fnG=LIm0jzF)U)*M_`L@qxxNyr5}qNud{rLizn{
z(eLNAK|)f%n9#%rA9Du;X?5FRtzGvPi;6ZJmCQfnU_^jv#8G;0Tnt8+Z10MU(BNWZ
z(C7&n0q{y~PH&+~K;V?7*1c>RY#+55NZ=8Kz*d%F_Ir{*cTQN9@uNY1awew_yAUv%
zirkA6lZG?*SbSV9X)tN9dh;AX7<`=Xve{J0z;hMzK`uoaG)>DjZ>oyGq2D(4>w0n^
zc4puZfu9DZ!jd-Hj-tRo%zGOwPlUT)Ls>o9XdulYlFb&s4G!^77BWl7!=(CoD-LcN
zh%7KgXb+0PqY9SFdT9mtnfSs)Q-%gNKRDTI8cKln8+6f4LlJf|neFB>qy6Kr_A${C
zNsv97`BlME32p?9-5fnngObvr>v=S3u-nIK-+V+FY9INYWU8aV;)~cBxpo=gG5<4V
z9jyZ7u~^13VQnDJISEJ@$bq?whzMi8D#To-pV$_u4XojW-GRbHh-wJFeWsNJYf@w{
z_?JId-$yRCE)k)!awOaElNzkBN@o0etOLwM8C~m7@*oiDdslZ@9gdW(4u$U31^4qU
zgY_>JKqb{t`*@cIWU4RDwn@^V^)UOBQw543?OR%+{O})dJNAf*tkNN6QY4djQwbWM
zObB`J(1Z+2H>`6?57yVS+{s?bkS-?4w%(`-+ufSeL+A7%2(Oq8qN_mV;<fMWY+4Xf
zHE^+r<=?*(d##_mqyp<#vESEuw4i1WdN)lp0@Y1lr}0Osa7{T?dc0c`cs1YN>9;Tj
z=?|TMK2b=ZUbB2Q(N+_Vx{_2W$NtR+^TJuK91@(9GO_i$N(TCTg_LHvDIE44yd1Mc
z0v$15eouc5n9jX&{7n=Fg+GoK2+FI0*;G-Ios2p>;+#8>W(3ewvL551q6T^Ky=yYb
zBnXQ4oxPh2Fs{6CK#xTYrYv1T_YbJRO3P2(7Yt?)T_fF-RzrgA!+eMRHk80urYly)
z+6<b+^OL)*NWk#gYa0)*B5Z7UrX+`%0o8p+nMJ88M5Y+3@ruerFz54otq;tA=VzDU
z<$peG<l5<$D#<~hJku!Y-~RG%`>-@3s{)}MrZ=M#rJy{$V)e^IGcb6yE6s<d43wP)
zuWfn6VU=r~a5KgXv^2%t0%%GQIG5(q^Hu}`dap+qdYFOkmECPVN{XNpzbtrmOb|jF
z_b3q6%|O^;z$=TO0KzZamHzA_!0ET_lUJtzG$$(V3jHO5eU@S8eq$cEGm#_``vhP(
zptKtMCI^IvX<<wkIY7<Ul1z62n7rvaL(Y{2b2Fp7hU2WD7i-yN#|H4XlP|abo-_<3
ziaNARGJ${E@e{d6Fo=);>^YJt30?B5$E7zJ;DYjlLjFoqFj>m$zR)5L*1=xCV~AT=
z>qy3nAy!jZ?D5vA<Pd`jZEil2$_5rf7>h67ZvwY6J5nB>5``K=m70~`YuM(gz;plQ
z8$+L&BFDLTVGvrTmwfVE!<P3Qzxj3D2v&~S?8<r|1Z|vF!fuDxFrksXJBIcefwt)D
za>8*zAaW^@|9o1*#C-4CX_Oj*h~M5}RR;l3;@7pIH>_hD_v_9Oc??1JNbLP}cLD^{
zCgLBjY+xDNKZLKIHh|077QbEy^MmKWx@qdAEo@fG+i;{;A7n4rX)PD<LL-YwD}Ocv
zNVYAd%$w-LjvVult`Hsw*cDBClg$X@rn@d!6zjoEKfdmLi5mp?HeK5qnBZ_$Y}j`h
zJ>ao+Q~6WP1$RTvdK%6%!w5@4_V*Mz$hHO+ypiXEN8)?9)J#}mdU@;KUI983blw|3
zSI-G`sg4Q<9<f1}*x#KNw{^kOdskpt1Sd#%uobC`bHL1)`k^)vU3kkgK)HF26Z-al
z>$zUU39TR8To@kdKt||D<>7cvSp9k+_nk90L^x`-a*%bvxPKwCuZt5nwHx?5WO;$%
zDstsQ+Hex~xQ@`dAiOH#Z6Yf_%>Pys({<5?aGiWYTQe63zCIGv7)^lg`RvS>OEd_!
zIbfj>!VM;_B4NY_0?=%scK6SH8kh)2eR{Wt2hQ?edu87!2-oG#(3H$+;HhU_yk*Y|
zOy;h-jq5@nUggDBG)IN7KN$j2=lI~1BPo2<P6QqeKbc&~qe50$PUMFd{IK@k@8`uT
zQTQ6}DRcWc6^JwSp`7;#kY|j0w(5xiA<X?2mpT=kW}H6;9v6ToPZ;eDd&MCj&2op(
zUkdoN*y3F~1VK(v^MX{IBuG7t?hklNfzPI++6WVZI^~@6q3+T^pY3bssi44stIOz`
zoiJ$MFHIoW%R&I<Q}^gY3OpN>n9w>W0z&<>gOa6k!2D(_Nc27h?2mINu9b<x;H!qp
z&rL*N9|}{S{C9qkLG{WAix{AR-O_zy^6=)8(K>oY0UHTBl3su~C}BYbL~%t((JsuF
z`b2@qBKsb~iUcq!4O4CRD*?vHW}YfUg^LyQB(=Lzpz%8Lm0pH2ykHec_~AhXv+Iv!
zJ9f!{xxjMi+N26NgQP)qBNa~b3#Yv2mV^HR009606qt8B)$bd|IcE0e*z0hNbDVSR
z`MHf~Xs66j3Wa1unMuknBS{fOqHn`ibRH@z$|z(-q(n9u;pg}7^T+eLU)OWr_jSFW
z7h&~0?+jJoOrlR$wE+#7<(JU+by-L;_FgZIQ-zt!^qinp8k{M3U-D>C4z9l|E^F&h
zgL6+b&KU-4!Z?{xmbxepitiLO#&?k5#UF9WNfRwN6!}q)Z$$y7{$nvIQYFI?3107h
zS#5~+5H}}pD8l6go%kA64Pd9)Ud)!#0h0yUFI`&%h~{Fyzp$kN{|<sdyQVH&ZmPIa
zu&xB`XQ>NA2PnXK=A!wyiylmEURx-eREG7tbFMuR6yS1FvD}fX4{H=w?OQEGFm>r?
zz{gWy?~Y7m#u)<`pKav{Nl^j!o;mz8ZweG7f6+6tFoFjkCBNS_Rt0S_%dYQ=6tG}H
zDyw&l0i`?W?`=>8MS@h3jk5-9?jLH-7&C!mrD0FKl-1z3;l|jI6d4|CpNnVX1-KU&
zC{^pI2KsDwbG_r$;e6*E4#)<0SZ{hn<&+w<DB*l5C8|KCto-{eVG8LwF8aLsYS2IX
zlRlS21V>rRyU(LdVJIng$$dx_q^gp?sGU}Vinp#qiruE5J6!y%>!>OmJL{v<C8!9$
z4D&5lc+8;Kh@m$+M+MBq!w)mQk%Lfmf#ttsGvJW>YQz1O2z(!1#vLZ4frrp5#Gq>i
zO-?sE1>Y-!b=|8V(?oGl;~f%jCz`?V*%$U}#Y$j;^+tI|h`@5lWsP=LGwAK8I~W;G
z05gSOsyrP6Fwz*M(cWbWC#`OCd73MNNz%+>6rLAon{r0YDW=fi^xt_hqXH~6mav%l
z?11<=jVpzgrr>J1fqPdg2ibVuQimL7h}eH(OKBe9ut2?^SGX*gjF$y`eaHaz^$yO@
zGXUg5zjd1?OT*}2buB{Q8pgF@_w1lPfby`H51)Y~v{$Dl#CI%VW07Apf?i?}3XkNL
zaN_WsOMd<>%REM|vUW+DHi6iD>msRXQRq&KI8&E3jhPB0%q^;!fWZ>2)nQW@V)!51
zgfdTJM+{2CDCdkJrl^(Sh_(>;46|7dtpCDxS?}aI{+|&X{uubAFjW9hg^7t8_6xJv
z{qR4f1w&ZRe4C(&=ZE-sahs~tUs!3ujRWGwhT!fS)qOCI7y2t|N(37xur-eF{vq)O
zu*I)e5UtJ)Ul+}Aea|MbJ(WLve24Ubr}-Out1u@-rWR-D61VGIic4eD(FgXU$2=m<
zc0i@19cym<EOxu0<pq|a2M0@ha%-QlL2*REDH+Xq?CkG?ojeP=u=kF=dHgX}u&6F$
z_s1<_Xqc7N%~ltb)Bgo*XtRL9m&-T17nZO`f~_kW^*Yd$;UB+$H#6MGd0Lyqw1Ta9
z1mw6<bfCH^)O9|A2|n@%<z{QFVIt$DXMg8u!`1ePfJYlRkS*8Thz|OPh40F)e1q49
zBQd0^3wLn9fh%0X4QyhieY>N&)3iXE7p=Up$ALKi>A}F~46x*#GeZ*60)--$SZgyJ
zTweWU63&Q&r3lN$_ZgbdlCp0|cOMQsZHwmyPcwo2-W{_KWi+8PR5x$^5)O>7X*0bT
zVg`!3&A+Z<8pN?qJ@IM8fyZ5I4ksU0kkqy8a5thsu2PX&y%rPv9BVgC6=etBgO7ZJ
zJE+k6tM6h&9TU(@%za>R2kesM|D$w{3K`Jhe9fB~3a{|8C)RVqjR=|K`#Y%cbx(0P
zi#`iDj-^ZYws6CE<sT~le-!Zez;f`4A}g#ojysjE@<N5t^kBUW1vWl>)^4P*flK|;
zuJbDVaN*GXLPll^JX9xG&YWO}KgwLovfcu)xN(7Q=c@ttU&+5a{$dAQm@mXHGz&tl
zVmGJv4>GWCG;-xCae`ZT`^=)LFkE<3zQ@{w41bLriVNRz!QYkqRlOb&2yU-g&|M=z
zXGkjbYAg@T)%vHk#EU_qO7FMAdnD+a$x|^f<^#81!as6c#Q`rDGI0D52?WH74*Oa2
z!-Vjr#C3Z~__&@|v{Re}>deVfMg9W7N$j5H4wi;fjzh9<SJfd4s_rV53Bolc3d2h$
zS*U(1{x5i59nwNd(j|F?ft=@gHZ4UCc>lIP_hBQ!`o4AHifbZZUc<ax&?gU{?hy5O
zjYv>%eR_3LObqa+O@>ZtD*_+>XrgKw31oU-%mg>%;m;Xeo4i~Cgvb$w<^;(QKNTSK
zIzs{+RK+F(q?Cc+$)G+(Cqn@9X7;VCQXqDr^TJF%5q4K_>>s|T0dYN<hFS?SFj)3{
z>aUI}2<NwW^&Y1{Wc-9Uu2&Y~DN8r_KB&Q^LVwQGO$u1c>{e7?mIJfGOV^bgNMOUZ
zCDrkcy4@dMk$KVz@FjfN(QAkdtPQ2XC!W$kPx*Ch$$mvBXt@`pNT5I-vs?7Z3Qgc}
z2|e2tMS!${kBVB&6yR}|J|;Y>1!X75EU6VrkZjG>9d?uoF|kaQUQ`_j<Im4d98-o2
zCki!-P6Y?AGTo+ZT__}b-3(+^fu@@(aqLVq@arHPd90)l2Fqsl6k%1kq<=f1NR$RX
zr!=jC>kWX#&NYyGhZ?+KzC-f+O9e?A3-_CzMv#?Z#(?irgPB*i+W4}mptq3u+KJx;
zh`|N-Z$zp?J#+fI{O$gJmojr=;6Dsl-g>bbEvZ9p`2b~?Aq9HWKaD770$erkf3lNC
z0?DMQ^!q;Bem6;E#_u+T$!M|EbDAW$8RaP$%ApSG1&YDaBc@Oh@PsFMSsfU!<DCmm
zsDP^3v+5E@Gq_+|j7^59gJ!a#v)5H6;CQoP+FoS_I-52!vJGk=H&fU#l%fEmT8Tr-
zi)N5}>zx%_pDM%-VG_3sWML*cwMU-U90pxD6Kvn80N=MsIs0M>P?)pbU&?6?U&VFP
z)k26sJJ#oM{)`ATeD!~{Ib{Yejf_L?cx9-rsL-jo%MUg*x6=z1W^m0@;Imd90TKo-
z?uaPk0K>Xu=0R^WxNOHOa!Fbde9Ly0-?nE0W)D4oW)U+mGO%CtyDbk4iKC`<2i7pr
zzVG8_N=+e4G-B0<Uk*yro~7)RnZ<-{4HRRx_1RUx$EdF+1J(r;YUl7b%sEW8;b1?&
zBihaJ)dQ07^eDXt2d^+3hyAkDIe@YJsoM5Ccxd`v^W|t$6J2RXLbdl220TVn-_1Bh
zL9uQ+ac=4>o%Ulqs9gjD$rpq1<3&PX?me#nOF*>0o*g_w_r3q{h=!2~oOw`_P<TlI
zM8?|JUdoTruLb?qDmh~e2HxZ~p<q6E@oOdT_>muU$Mw3SEEz^{bt#<Fa4$D#oQ!X1
zaQs0(s-&eF(q;(wGNqekj2z%H`p$76dW^1l{_Bb|hapU=;P=JwvVr@JzoAVmqx80b
zt6G1p4WO!h54rw4GrSG&OBLZAp-X*IJO4UeALcCyG1HPbSiEb`Uza#Ye=pKlqd%qx
z8jRVDyZISF$?uU8{&p|@S`IOSs;38GcZfIsCjP?=FUFYRPIu9}-`@&yy`>AR$!Fdr
z_^x967{o0&^jqm7FC6;fW^{n5c$Gn)zKq@3Ivv~bq>lbx^ua&B!#aRn5=sd=zleG0
zuy>U&Jf#av5&6fewL$tUV`^Z~JT_a!@A&&u2DWhh>)!te+K>h^CW;?tu~)aR#afJ3
zW4jk5i}KR70Ph63(cRNnfz`pq(ZU9-ls`TG-VQC`><^Z%O`5`D=d?^?1llq8flA$=
zE1FPM<Y8M>`5TMDeMl!)ea0p>&z}_7put0P4(8OI6WF3)W=??hS8SE{%&UW;+w+aF
zJu)Ew!ifKD<-hg}Vuh5H7||^%^q);%YW4VumDDuNY*I(CzVXX8`>#=<@!y3{jeo|m
z^B(F^rD3C3b8On1As#C55|(quD#o#xA0D*A&p$BlE~0i>76lxlNxnGxI5xzd@~GM9
z7Y2>Bldsh%u+^L_%8&br`FwU@*;n%$v)AuPY!1_aw74<J&Cs7%=CQRq&+YzT3dfym
zO^UYt=!;|4L((to`0r0~gWR*&RfaW*ngJ4+UdcLLEii!z6%rX6qvx<Z9UWO!VG^`F
z7>#XG+rC$xul9)W0+xL=)GqLdI=C0S+AVi!5<7h8*6+)27qP!tZa<SU)ZjT`D6VUL
z3i}rIZNfiw8OzD<7W5ubg|~Yyzj;zVjgf<JTlCl!%#+kA#6?wwNbhv<)T6VQ)u&JE
zTE%OaeXsIApBNQ5xwqY;&T9@^9EfjX-}r|GlRghV7$Jh?*VU_b`SaM_gvsZF(OZ~Q
z-btMbGa?win%hyvu!xNj9zS+hWQ0M6vh0sfl)*pYQ-1uFCG3(+3?q7sgM(hf{UV~u
zP`50u%c%Aj>yE76D|nC@GBb*tKEx?OrQM^E2Mnv2=$q-k`{Y=GYJ14kkVOd!CE6$4
zS=TX3Hb(I>8Fo;@Zq9#*AwW|;kM0N9z+xV!`~5tyJ!cVIu^YSu===G@>P^`e=D9Tx
zK2^a5Wm_Z`-&{pdIS`~gsL2RC!(59bdtNXfw@jNbRD_EzhvL3J$3ajR{C*?D4}KAG
z>?ej5z+(#HULRtH&Z))7*a`s<6<{s@o2&rFcQ?5hq*#Ha(Dx?_5CYBUsBd!C3P7HJ
z@H|bJ9d?KJw{$y+z(uv4D`_GMkdc04>IudHm&0XF*anJ$N#ZTK+nhXf+}asfmBR(k
z&Ki#OzYzzT<Ae|2H+h&hzHs}J0WZ`viDmyVmV&d9{QYU)<)Nxrg5R5iA6Tj-yy})@
z!2ie%>&Pv6NY<yX%x4OKu5t5JL4X{byBQh4W}pCXyo%l*-7f@+a!oe&+zKENJnbx=
zp#XF5SuZiEih$+nMe~^Vim)PaHa1975y(!dTSgjUAfA^MF>`O*ZyCEKU$ra3aG$H_
zn6o%Y2JjuTN+CjU*@&?7YXXeKCYJ22l?1=P{UU97s_<!*SLF4W5<E2*dAwjH1Em)6
zD}&AI@ZL1;zg`<6_!Vad+})Cem&@;G0vR-*s4e%VmY6EE3sCm?_{xK+MXA=&Yzolt
z`S0GVtqyz-qcR*86(CJ0NjkZT3Pa%>hLh!F;GY~7V81~C5254}#~Wzy#hbk~r+qs|
z6u7*}P*R3-4{rUz*J=WFf+Mamj0S6!m9l=#L=Yj~yWx6M3wEBSf3QEP1=-i*9Pl2h
z@JB#N+nA;e6+fh`3_^6E*@7ciZbc2&!dv55)3o9Br_CsjIz3nw2~M{2Cc$U%0MFFN
z+A!9bUwT%>5S~8IZl=8=gJU_J+~T4QJl3(s0uPOWtoB(spj`uA-&SS2P^ksYPgA27
zxB!@z{cqt9Q9z#K?aS#xO$ZlG>sL24h0C5}4UxAf(5JDio2gHO&WBNiZwJi4{rC~z
z^hXrPs;S{51yaEMKK<i4%p7(w;S=4jQ^2kN{=owS>Topi?yMPu1sw0rK6ON&0w#{R
zElj~gI3(3UWl69Ax6!M2tb#RQ?y65PaZUj?y(?TbhAn`zp!3LAWim`h^t8WNlm?H#
z3Os6?7O=EKsBTxHItabJ)B19oXMMXGben!#K%?xvPMJzoXsC}}OHSs77Z>e+?EcRJ
z{7hFDbjyiQT@&>#;pY~%<utc$zTW~|WXs|%XD9*f4VD>vVg#$3;3>b}Z4S2>)5$$v
ziV#rFe!HIe2i^M9(%wD$x6i#=Ij)(>g9hDUEcg2={eq6aW@gQHuBf@`l&T;Lg)^UU
zc|UQeGfaezSKj7pUN+lEsw7~?gC<x{u%R)EHe%l9=&eh;(>V@_fo;;Sez6n|l)QTF
zzugR`(AxG@F725R^n~yyuh6*=7i*z@gFk@t5ADlG4)6o9cH<b23=g7Lm|kG($KYAp
zod&jZT)^(4B4#tpgHkTDca8L$z@YW)6k|Or81Ib6*O7Qpaq*b1(r;rB`!DTjaSkI?
zUOU?7tjdc>-DPPGEXL5}tr9b_wu&k9=v*0{=RvkCyDe+gjX<B;lr@(>hn@5<|8O#!
z2Q{CK4nE^-2s;$NB|Nbo!!F)AeqIIRL2`UM!@TYp!0mjtfxI6dFh(gG>#L*Oh_-Am
zKKorCPM#RNFT(nczFe|@=;Cc|bn9`bx-v~4G`ihstKr}15kHuEJYBfa^{G?ZuCaRH
zU-gIexyJ-O!?vXInH4uG6^?kw{!15P!?#cq{~TSe+VS+igWPB|r%f?$pDv`btt=aJ
zEYT<BD&KTOa3ki=c5^M&I&f#SaM$Z+D|Dgdp1Y0R+~^Qh>Zy*p4hVo1UWoS}J%TeJ
zv+Fny3ee$%{~l>Wd#%yQY5gsF%G!_3FlJuVyYJC5yMi{T`JV7~mu5t*cW$L{4e=uO
zOx$m+$66r9Ln{_e!6AR;f5M%9d}vrK@VgpS3#6nqj-U-D<bNTRNaf*2+y^Tj{Y9EE
zeJlA|`56{8HFJTns*WFBdg}lD#W78&`Ta8NTL&w0Law{mk_3=FN;(xjPlF?eL)+TT
z*%9MjlN+D>1-JENzLk+i1JAb1(NAax`ggMFT&KSfYI)i2YHmz}o1IFRMyxrJS$lor
zNRlve+y5l1Z;A?8r|RQ6Cb`h%<-;9)??q6Ab_u2VAr)Q>wMQG|@*tMO;o^CCF*LmF
zDSY!J6)L{jDDKqbLx<Kb$%)0|k%AKLK%>ew-;Bf^jUw}-*}kStZV3sLxrauSU88`o
zq+IZbmH=|A7@OB>kwnF(8T{QpQ{ZO%+DebLAZoR7{JbMm8Wnn*lwPl<Kmv({8wCj=
zQ)V&xpt&s4xH!KVS407n6L_|>LKyi8yEU`yl|uzqWBczFQXuqH;Q=X5Q8Zir>T;T^
zJkoztFv3<&0khs~k->pt$j&zTZC#84`ZJiKW6(hXqXO2!z-2rtUzxjVU9E^7vTQKd
zZu8&+Vk7KNl0e-ib&XDc2}mT+-It0{VZ=iyxWz~c5jv*=Jx!F+t>J5TEYqkUKCZuq
z$S8x-cr2^A<B4ciz$&hIJHK5!b82bBOBNZP-Y{9{RY7@Kq?_weG$3#E@4J3d4vF%=
z_kSs`h6Eqxul@gjqu>7G-}}z;$V_BJ_O+`zdU4pJvA$aqvh*t!lus(4JsqET?2<^x
zGu~Bcvrr4(>}tpia92b(KlFQ4=a3P@1^JIQx3wW<PwWWQi-6`H5s4BB8c6W{jdQd2
zb)f#NWw3{r60$|fDoKhIG*;<AnyA%<Z^@eRS57ITZ2$S+qGu?G`3~Wb!h#+caX4t&
zSrd`WQ{V3U*C;5hee95$z5%@1i=TCtQ$cAH$LF7hQ_zI7ts6Pc5T<t4hqex=ph6$+
z$ew)^wE0&1A>TJ6VA2T)8w^%O??=B5Vc#{-!2z6Dp@s=O)ov9h&Z?r=r=tgp+R5l^
zro|~~e+=+aq|HCZYN(Xm>i&bXBov+zVQ6p=;JUTL8^053=nJE99%q#rl6X$GOX>l*
z$o%|()d4j`37c%Fd#8fr>G_qddrjd&{3oU;UNxk_ZGE#NM;X~O_#9&?GKC=_H;4Wl
zRTML&(R0C`fO2;})!I923e0t-`o%a^Wc~V8$SYO_G<6v7`ccXZUOT@!(qO29q;AX}
zJ6s`)&bHwedue9SXTru02Z`v}eCfOJc}e7{cY)(2#SB7hn$pB9l~LVF%ZJr!F=R1C
zRzHI`1L7&xtYHNuRJNx_sJBN59p!TsOPw)=kkE2wr&&c*leV^DZqJW8cj}*%sxXDp
zgwF}I5(N~mzh^==g$soju6M7UHwAmX`BypT<x%dy3ga(pHk3;Z=flaG!l(5z*Ii^e
zBvEXWFENZmgpGS8O-%sD8Cn~Z#$`|@&7oK-a+7YkD|BD77l6BJ#V9RW3cXvTzj$4>
zLQh`Jl+fqi_K`fdlNQDj=wpk^P^0-GU3lhnTc$0xEwnF}od_Pq?DsQ$xiU+SE|5I5
zl5PT553?t22#6w~)9p{RPW+*lr`X0gd^U!vf7f$^w1tsJac-W`mEZKJDOGnNVPi0g
z_vBm(7exC+<}S_)PS6hvpS{FuX9R~&6ePc%;YZS8d*8eE{Gx|&EvijEFa(Z*Z*s@4
z^C6oT{HI=}P0$Gz!TOwk44~+#2S;oy4;s9^U~)`ql5WsbUr}gm0H4%)pOE))q1mjZ
z4c9$?=pxrghKEx0fzrmtrgMw~MXpB+TK}7&yA5GmWm9^fWF3(-_<$W<cQ#MrNSvd;
zIvV+buvZTrAKrCJUxf{s|JP}=XV(JV>_JtJ;xk=Hxy@Z>JIR8Q!i+n<5tr!7`NM8`
z!nz>wyhQWVC^Is8xYO#N%3pd&&{6KBD>`r`X1)G7H!~`yGsji#TBXN!Ro?EM)82ls
zL7OjUm=LKpFTCmMIz5w3m>hUU8+6Rac`GMzNOu-LVcEYy4|r^1X8%nKJk(l36Eblq
zG&hT6NMt}0ohu4aj#@BX;rn9T8;6Q}+(ujd7}0#3TkPcEc7D8Cu~~8kho1lK3HkXE
zhuWrmIqsg)1oh>+!-i2fB(zl*A8f*mny+~j-2OuY!c+CDL^=*JN*6prZ&}dlO6iH&
z5E|GT&$)$2GNF;A2b4XoY}@<Za<+zt1|Oyx58ljVLi$$;4&U)RP}{4UrTBtvA9;Up
z4zI(EhD+3=QfE0(OvdyRbu%iwPxK|o%rm1g_mc$=esLk2?A>(2C<P1(j7TeOEC^@R
zwd)ECFPhd1w}e;<45TfW?`>g4=l{&a`{eVXfkLCocUly9d_ea#=Px!i$m`)`KE#je
z+n7CsTQwm0!wGpm;tn)mJQZx9A&4^9>uZ(`G+-fBdh}lc2dXkZl<as{2>sOb-cYV2
zL-6&s5KmDqbkLQ?TP-JoO6Tq}cbbynjLIpy=gr*6-MmxCsZkWsAID@L-saq$WuMSW
zJ}**B4G^_T#G}zB{3r7pBv>>r{A}IBhwgJqoI4gMfp$gg$hc}nf(YFkzZn<!QP5AV
z>)KbO(5{!hn}(7kz*$B=c2E{XFB~NYjZ0*ZOx`lfBs&R$&-D{B0)<dg_xj=!W;v95
zh&biRM}nYZ_y;3H!YH7GjnBzk9*s~LX6Lm@@Vn4$+R9B7DS_~lsWb&N;P%NyF^mL%
zPI|w|WyPc5e4B>w6-6YFw9{#8f&|AssI5T_;>d|p-RtVM4+z&p%MM49K}hAa-`GP*
z<S}EYd3{<L+5LH`=546~JNG+^`D9BYZ9h###t;<*&ciIVG8D*`$a?N=FN=B{56MY$
ztD%=Rp)B526qq<R^e)m*4n5s{yDKqU9jzbG2}?dtg<;lI)5dgp6y5(^@3=A<`4O^?
z$y(9C`~W`VSDgY1U=H=Gy{~~rCuHN(K@*m^nF;j^iYT=Q$08d-K`HUYA2YZ6+zmS~
zbVykVW$Evk8R4fQ|7<Vw+Pm8DUOMshqvOgbY*=*XYCIJQUqX-NR&~Jd%v|J9I1!DN
zWG??1p`wifVR^LxJvilAcgNzk3Sy&3x18sqp|)<{hi0q>5Ec`6)$6t@64H(fnPR4)
z?u)if)sGE<?Uc){$RIT|^pe5AxPgkuFj+Ia-x$P2E$=;`sv`nHslj$16{*Fr`a8^;
z0K?Ozk9M`{h-3QoyO~T1Vplp>JGi|*M_;Dtstb`&S3g0v$VmeQ*-X4pTLI9Pchcaa
zk`RNZyAw%~gz&aa(~4Q9Fedi0_%|O3h5iVx_RdsAORm0RuNBPT^u^SyZzbx;>Q(Y*
z&d<sy-lf$=E6EHDB%`GQ#nh2>VNlh{KZ=M=!GSfX*9^*05%J1SHN^EGywPq;4msj3
zK32e)gI?Xws!>c8z3EZujJA+Qfo|mG5H52VB<#K=%BzA54wvx~y2X$-`AdY<ni&*6
zPTce4wK574k*GNHSrD-X4!_O$Xa-%4TvrSBD<Pao6W>@d57O?g8dct|r(GfLzHo;k
z64aLL>;1@z8ZSP5hBGz;mCd?KQF|4T&-~?fX*>h^^0|%k&^J?%(LQ1O_`Mujb6K0(
z&9+1@<BosZ8oaH8^D0iuQWlY%n{)i<f716<^l27wnZjS1RNTpYDKwhk>7`@WMW+QU
z-3z)8F!sgi*vgPN3ieBKa60i2W3khz-bDi7T|JRofQcbuo9X;<`%Vm>`Ef`;1cSYQ
zKa3B55JnBxs_gol2C+J3Mk-H^3E+b79X}i+h;|PwFrHBPj<qmEu7))l!>jX4hX}s>
zD01<rmjc5W=Bzy0e{RVL9uq#Kr3>()Q@0Z@^~Q~1TCT@84yhPHM)^(gkX%j_Rd>Ox
zLTC)*tQxU*Ib{g{9Z_uzi)BXy<+8Pnf$!L;i1ydChX!ztiQXpCz=FgkN$p=nM=-WN
zmZY``eJE-RbLTzGglKPB)z^jwu_%!jV%^&M&}JDL(W1<V!ewn&syV)5Ru3cBe6Q=l
zTSx1rt*A{p`>XlT_VF%k{AK(Xry*UaJ>RVLg|<$Q3wb|Nsnv%44*&rF{}h*ZJeBVo
z$FoQFu}8+iu@2`P&apk085$}XS(SwHtwf5*EHXk;LaCIplS)c@9ul&W$fnF=&y0|t
z-~aa?*L}UN*XR9tR~gQ@xaw&GlDQz;WxIwB-?(gB5LJ!5W8}%w%%s5&ig^FN-aqJ&
zP0+r`n3u@si_C<)T{PJ5ETJWeE}_13&dw_zQ_=5asq^t?so=bCW%Adb1(fMg%4vzR
z_vrYa2cHYOwBV#>G7)!W9_7=)^HWA@(YA4Ih7oHmc>d?C|IdI~bT-X&c+9C4HG54E
z=c>|#mz}H!=$EF^XAJ`yYHA(m9lNM(CVfqCa6vw@4o;$9D^97|O?RX2y>Fch%PG)S
zoIrHXn?QrxUaW*Z9Y7ygjx|r}Qoyg>zVu-O9X)aL%Y0nXZ?x!z;$qGxGW_e$?tHID
zM+M2Xk7{{FQ0}Oj*;)%S^!7bS|F<}f?$xZd7Y-gnMZe{Z>a>vnDa;8Pof$_@O((s*
zvPMT+ZgIEMPmrLQvn+&}Ku1?=9-r2|HH9L(8Cl{-HNf6%`sv>cI!aH!pS6a}qTebw
zIl_1~;Mlj5d)@X<ps2~ppYQSWD9g!1i7ALW1T<XCC{me3V_Hqss<;<XuX7aF;s7F8
zHZsH*n@yolGqnki@|I9H+cVMVD>Z0&)3a`pI*k^e?`aM?^#_fb(-?TSqzaS6kp<Zj
zvuGJEK<F{Diq3xA&P>!-g`D@Mp18g_^mof}Y=Ox-N@o9oH;z?-hCiGqnWpE_yBp?x
zaThnxSmChkAAQR3Ao-rWJ;x#{{w2r$*7q$mc_EJPC`}oTMP3M6-@AmSsx-%HYwg0A
z&irNWx~l|j9z*9X@|RI1+Y^(NEC$SpXH+6`g8)a8W$*o^tf1a5dGaDEOju8fk5!}>
z0p9T5nA0C!MRS}NsuOydv9ed6nnZgP;m{j(^kL09I<?fOa;uCLTYedIFx^%WT$gK<
z6+1T2#rc(GZ<HN#_D_CtzFh$r(>Ko_mH3C+kk4i{|K-Fu7X8enT@@e_k*dKR+=bN@
z2}?Ab<Hq>Pi<*wi%EQbTvGXa#4A`FD%{Dp@A6E8p-KOiNJUCmXAJCvMVM_rntFAZs
zv3$!Zv0|b;w0#x6Z_vk#-R+I7IH8Ecq~At;;2glirI$Qm4kfJE{j|>(y3>M~Yh`Y!
zS0*0fiD;2`DLYnP@Xp(|Ul`+hEIV?`3lG%|S+BCkII(hXV{`JBDE8Ddn*P)b4-C3v
zZr2WTV<T-(R2*z1FmvlH7b7YjN;x~$3Riite;4RZ>YY+pOyfm%KLb1n#{RA0xWJG3
z>z-tq-6w;|ejp}|yW&BDS(e(tjKc;;-zPIS$YPp(Zx-hs;^F62%kmOb5c{I6c)QUP
zkHs?G%)QSb53k$pj;}ot#@Jqq=4Z(%V6qK1<jO>OVCZG4X(|%MP^3nbWlIqgGZ^N;
z?N@-*2R4255pnD!q1(fKSqY0>GjUKgR)n^?L4F@gDXe7d=+IpjRZRPkao?%S1aQQV
z<fJZXtYqQvl~`3GmQ>?W_-R=Q9{;A}iPo}M?LTR**KQh^TM}*h?iUrfzWzw<{zo~?
zsWj=BWdjMjO+RHVy{HEFX<Hs-V|nbH7apHBNX7^okFrZ6H6ZqZ`-DTg0=81$w0L@q
zg4sO3MjtUELuOiV*pM#)D;qJh9{!<;6@2Ho>byjOYfR^?CU}*x?~fhBFK23DS#6=a
zc?Ptg|1Q$<G*<;HR7)UeYf!OQes?V7HfT`7r^SDkq=tP;HQuTTr(!e(HKrC5UD(iy
ztD$EQF)K5E!JCm(>_046xg}R0<jz=R-0M-tq8Du1td*%)-$ySC8%ZP3+H}A!{?@=$
z221bkI<JLs6pRWOnE}K~SM%&TOu`6ck&`|)J9B>c?;riFF<k9-Q8c<q!pfzuuN(d#
zV-eAB1Vk^Jz#PjH3+5COwl(&+&Y6{jIi9$_@0F7&*ood8?(rdEle>_NtyNWQ`b!jd
z53d;%+!~I&Cq%-Evyw#~rV+5L-s{TSNoG)bA2-=4r-8i@^ftJ<2ag3-YX3UXZ3Ypp
zq?&7WM2z)DSJt<yQkWx>>%%&02IGmeDlY{!%oWeT9%CScRb^BL%l|Ngz5tF)>OK{W
z_LsQpL*#C3e;Y8!C!2w73uW}4r4q*RfI8LiWfQ%79jlHengN&W__!ER5leM3Xylyg
zM)#TG+J;`60%KrJlqQ=z_DejcSm)C?Vy^8hDWPf#whuXf-yW95?rjP%1VsHsg0g<l
zhto|UlB@Ui<#cI`<TceronVBNzxOi|SxkUG?~CBzT?wq?eot$*G#l`$M%>`?GlnxO
z6!n055iG2GtKD0c6Bdj2?-m*Ym|zIBwAB^FzGgXzEGu!r?azNCTpa-RFPL@7&G2DH
z@vZLlKHM-sYrT?_gMiT90Ht${yRk{NBt<4M9!L{+JCd7c1j71>g(l{#Sjb0)n?sH~
z@RxeO=HmxL$n{WI4>M)J;%{4&E$`=nNY0d~Q(Xpd$SK<GOXxc4{j%@V3qBq=wR`YT
z4}$^dBT}Z5Cl*jyRw+xi58QBY*CBZmnm%;>$%(1a8bROr-#HTF#0?so1y{;1>45;9
zp2$?*gla`I`PXlAL6VWjnCC}bC_Xp5fuF5H{^2=P_r2i)hUVGfcrIN?Yk#WC^t&Hn
zeRgb-JDdyF+-X>-hYoCx?PYd!q$3A!?BNkQ!v$leb$KP9wP6p=p6>MDJo5I@Df51R
zE=YXze!M_g8@}bH5mT*~kuNttT&Q@;1q#~9iURj&;Nbo3K~U!^^0AIxLv@1-j;VY-
zo54;4d`~YfLT&?@Xp6z~hH%5CWGyRi1QkRKmt@v;{~=vj;T0nU9&lSTZ`!x51xhg%
zyW;Qe0`nJd!e+L4z}M%<eS;`1==x4nV`N|iquh%XFBthCrAo}Qk4p=pT;6}(_F#g|
z__KfSJ>Y}QKe7^94>aLKQK9JDT4vyVPF!+5$PZE9Z$~(jHDUIorQ?zcD{!FFv}d9M
zFka$&B(RABtp>B(+V|L?O3sdm-xPoY$CEtJa};>j<z!XP#Q|~u@rArt$3cwWh3f%A
z6!6*OUf`3$3H0P~9zFpfXl=5rn*U4&&CR+QK~*l87prKswh)HS53e~hg2-UE7Z+*O
z!wvUl3VRQxiGTn*tH>OU3?3)58ZJNO1?tJZK^&_XNbG$abA6KpaiaGF7i;*y_7UDC
z`i?kc5i0cA8%dz!{>|69o*#B9n^GW1!X++3h3Qigy#LL2*}q=^j1A7dP2k=GmoDnv
z-xE!O&vmKjBNjo(2svygvmp%@nu-~ZFOgtF2g@Uv2!V7tbu5)x7TV4`oL{;?f`Ew$
zCACyxc#9A#<0RzZ9Jw>*R1gUgaX@{rDFVi)$E%u*@o@a9PucMl65!x<gF=WH=$;yO
zG`=hkeJQJbmp_u=zk(5IJWc{$h~`TfzEc2_b2+>1ItilbCM{7_lCUY``N^G;0J?f}
z%&)A;&~@s5+pFk3z@9@J4?n5|c54ovwxwj?l%ef^Pm+N?Jr9C!o-*Lw-PY&G6nNYu
z?=(b^h3|z6^-CKn!1wNXyl^80CIwE{yAtGpYf8QIiMbjGxq>BMm?pT_Pu?aH@u2i}
zalSK@2&$Pj9`6on0r|zL6BRUhxU$df>*p+W2!8nF(_TF)*yqh<Hi812@?+tN$<zRB
zu+3A&m<FCH)t@i#RfNiE83IBjK}AwpC3;dD_+sCSt6300`LDRIV>k&;b8HV2({;em
zEBQO7z4IStjIAt>1R1?Al=X*oq0mC`TB5Kr*s$-Kj4UL9igwE#Lp^<PdQ8sA-sxX*
zx5`ucualtmf>5<mngN7;V!gT@r2>fyRBvk%3G}Znl~gSlLc3n<!6{Z%c)d{^N_EkI
z_8INB8-PH^nZG$!Csg6W&*nWBwu$i4V!5Nz5a4H*`rMy*RT!Btc@%b74c@u@aFl2Q
z@Ksrs6OK`ZK~~SG0oR><9zJ1mYp*e6(u&xf52?b%ZpzKOno2N<%qF)N8pF3)rTq$Y
z6;SuEk<=Vf00GVaBFfi|!NW8DOY9*P7)UC98yJa)=Bg?cC87yPHDL9cx0K-%t)X;D
zMi$cC&+IqcYXZt|`*F%omEh;wh~`sIq#)exa=5IO3G_tQuU@`SfSShL*#RI15!(w3
zy;>$f$#-gO^H+qzz!1-7su0`^+L++uHi0j%E}H5XC_s^DoSfEeen`C#?^)Sy4C#M*
z`IFZ0pm2y^`}{jDh`H@mu$s8T*<j*Fx0iAtb&Qx;L1F{;AwIzhBV!n|7J8oQDGSXw
z0ptJT7=hLComKT1fX<*{fGb`GKIT?A3j1v#wKmQ~-&g>FsOjUf?NXrjy`R?Yu!?YL
zm{xvK0_f$boOTG2fVi-|6RBB?NYD=#q$UA@!x9yfZ_LD?{AX4-ug)won6Bl7t1|-S
z34Li!vItz}^%CpfH-SW>smkt*MqpVX%G_!y1TCjJhDQiv$OECUSV1s^=LN$L?L%?!
zt0Wv9j2J=e%jz2BA`HOm#c<*3FMgm#6<{YtMvxx1{|d;p`XFi=MBVGd2Y1e{UkEK8
zL59>7m0$4cgLd^qL%0qP<a^vs><}75@cF&f6|Q=)=lw2^-jUsqQ=vuGlcyuq#bn)^
zCAyF)@!mnCYbOthH?$?nCy{;AXBGL_b>X;{&dPosc96UOk^Z%823g7q9=F=z3q!=S
zaE~Zf@G~o8@3}FLXtgIh%74*@mtjjuhMFu8J-3?u&2|w9(bfAEr=krZ4h*U-V$4vT
zDSu)WSw^&N+^F8EG%(+q&(+gpf`k?RyPFm(2=kVxUM?dI=AVmP9S`2=0shlTI$mo?
zsAaLHZU7a8=30N>m}da#f}B^rkN+b0$>=n$X)XBtSu9mDkpa%0wL-F%Hjx#^YiS~0
zTA;vnmxucZ1314;@j~6V5#M`N3ASUJK-D+!7S?0f$zO9f$F*IMx2fUy>5L|*i|^64
zH)DWX^#Rf`hZw=9KCj+sfdXT^%KVlW7$Bc6a-I9*4wqtH<H*-2VBwi6So59%{Lg>h
z?_kIRE#BE@Y`7^PaZRUXQ;rcj3UtrnI$0rS|5#ze6EZjjtfC?Lj4)r9)~cScv)9Y~
zwx}K%Mmd<?;SVvvIvam>>v2wyyEGqgq>BW<byoP~1)0I^XD89YZinO9QWCGPk|51`
z?%(zbGdyi()3NjAfsCT2atS#Su;Nl`qt{tLvQa;1uM;06q%?26c&Gs$KO+~uOR_=s
zO5E1p6n<FEOYA(&r~!KCJNKEmvqOjY*QUcG0-zrn?q%Yy4$WsThlezBz_BH~viBiD
z=$yX7q_aQ-&ZsP&(@wj=<%VhRscs>d`ZKBGdyNQ(jrj~E__?8)4^8%o5CON=XW`aj
zMDV)uHFa@;2lN`Rj%8Sjf%MOiK#y8Ac*Y<@cpJtCS<;7yi!=$~H&M!Z60HW)?|C=*
zviQN;>rxX~O2OXOYlxPM8lZoE>7DKnfcnVm>+IpuAeMPg?zxp35c5vqIS7K_N~$d=
znv;Rs$%NuxJNZ{uV=!Z$Dg=J5xZtCja-djG_@o)A23o1PCKh`{fLv)R@+A%r5hL8c
zj$vxRS|Vt{P%8>fSWc|LA9-l{VCWF2P6Te15IdO!anR45a6m39Lf)#`OVK(a%vU{V
z81R*Z_h*0Po!KOSea>?hu_SenVbPTv_TK{`ae?Eyca-60O7!idcnz?=D)WNfS_TxA
zzcP1`R6#jM`E|<)65O)yvMlhDg=D&KK!1xGoUj=X5tblBt3|rF&TTm`3MdnjKdlbu
z@x38mSI8jgK<{&?!9&Z92VyxB8gQY@rX=YP1)ibj1AlGF1LiCKPdAqYTJ-7+V^J+|
z{h(#^QCAVVEaRsZ%*pUVBQyD~8x`^{U90T&BS7h|8YBN&GVHf*d|p#agKvN36aJsu
zinl}l>z1Ve%e;5C<^dg$);l@$^0P9qY*80n4pHFYi+8@nX<gtt;-2ubNd*k|7vh$z
zclf<hpM+)V0~6Z->*8Bgxb>>*Av+fZ26Zbsz8^LOa>SA&@roMwX{28_O(sK;?D0;2
zMg+*u1A?R2i6B2<{7k)*1aphuTFeds1f?Dg=08OQ-@`NNE_E8P5j^w5p4S+vu_0Pm
z1Q9+c>>Ae#B*Gkn*Q8vzF?=p)B3?T|1Siw6d5(4!NIB>$YGZB!;ZK?yrMA_8%n`5L
zv`By^bMfTaQWK~SY)#p4Q-hal+82E0<l&}r$f+OyOn|XcSy17+D(HV2(Qz7;h1D7j
zrF<pR9nQP*e!rvw1*_E}H~XYuZ8LqLk8BFB7t-cNb(En+nb^G_L_sL<WPpW~DYT1@
zad~zVKr)YHC?$#mzn0Xf+F27Qw!rUeKduPRrL6Xvt#CouK_zliz6o5yc`avm$ivaW
zUlMs!%peeyDMhz4fdlVlL_V0}p~PO#Yg26#IT<=t?!Rmdo{XH`lBKe+uhrY$wRav7
zBRtEqjWdQv;Rb0h2{JI?b4#?DK7jBaT=wY@HwNu|`DZ#urNBGfB$nx9HuBLYM*3MU
zz&Vf56OV(%VdIL!5v~(IP|{pZU<(z%XG1Vbq)7w<`Q$g>-1?3ByFB818H2#1-DVfJ
zt%TrJpWq|axiOS5FZnb5g%P~HVq)@pRRFra9<6HIJBg~@{FCyr$q;V2KMMTtlMhUf
zGTS+BPoajyl=ZPy0|?QviN4*$4RhD6F1q<nqk2W}--Rg~Ko=?0>WMWc*l_h`9i~sA
z=X7pUo}JW(m4ia?9?u4!*Xs;-<xZldPHOJPkM%(OUH6mmBg{Zal|S@sgpR88xL#2l
z-MLROvG}Am28ca*?v>)#F|<ob)k1)z3;&dZR=jk#kzY+0KV7;qf@+yHMSKj`f$GPP
zwY=;%kWAeYt8W}bXyTt;wY@*JVNO9#X?AWEX*g5*fK6!-os8?ZP^M_Zr|%|%guly(
zw_9*2uT>8kXIj(go<ak6nnp<DnMEYyj&tT%Tn9S!biQrhDiy|#G!`3a%_Gn5Y#u57
z+lr<qSXmaGphBE;My36uX{4m7d}0@TMW+}8EA3jeATs63f5M&<NP6QSeQg6n+kd8&
zih>r<wuD~W7mgtx%>M1EK3s}A9(%#v@>Uc2bYEUQdTInwv)d%j2_&FZs}_-mH8jDi
zs_V?qwIRfu{!6f(KL?p94q%Kdq=4tWDgpcXU&whww{}bVJ0yR8!pN9Nf!|DGSwklV
zk<N(h%TvzP$im7SUH?}*zH>8ZGUaSPLK=}$Qj4!g^cQ`nwsgpVvACRZp6x}dl&3sZ
zQ(6%EP|te(=N-RDZBdmN>_PU>MXvpVHsob6PiW;~5@e3DmSf}|#FVhWo<i+F(g|Nn
z;=gFX`>p+168+ssru@*Iag8p7m5WOzb4DG)bY5q^>h4DLi+cX6(CI~9;<f@KCDdVG
zqCriXY!4FVQy|EGYyf$y*)}I>LxdyNhc;|VdXN=`)^BS~zmOE=eXsW3RD-%im)`uy
zUZkI8P5f-+5VCAnIsCg;71}QG3KZY#Lq4%oo+&syg5-p+ziHxBh1sm9_^_#d<OpkQ
zD~60A!_=uuQ?@El<XRGZBw`Rr{&?v9)L}YufhV96pREjjL(lDA7XCtzZ<f68Z%rcK
zElYD<|0sdq>9wwj55JKd<(t)f>(hwZK|hh}2b3W4X|l-F^bm516@6flF^7z_g>c@;
zCxBnIs0L~_f{f}WP=yT^kfr5K{v%ujFcj)IF;g>&c&=8~2sAGuvmcIk{_;}<rGKba
zu<tlxo_1_r>iRNr@)CQU>VN_;j-PN}u%1BXTc1!fPp=@+4bi_S2Nj@$aNw%D;}miu
z@JF8G<u!!v8ufOwS|0pHtq=G=oI%9op7do_{6*|r&Ob>rkO%g}J29oa^GK~hV3LOZ
z79umNX(3U8hYE+#bUwcYr0c$=p5Mkc;-k~%l5d2Ee^kX#{Q4r&kpBExX#@jEYE4gF
zs*{6NmKfKExy#61C+5p;L?+-c<Ny1?P7V@p4%lQ~UqR|_iixc;v%m)9OvkqgSx9P~
zk1W2uhP2oQM9Xut!TzuZxINcpA%S=F-)Q?^glpnu!@4yGNS>s5s42+8XoKlsm+cmU
zV?n!EYIZ~U7_0x&W*Jz^7d`ICxeG|Knq#)1JTSpJ^Y>_|45;68T@y=U0P$zDZ?rK!
z(Brl`V5TDjZ8-Mp<N8d{U19s_mA3#)9C;yla$Oo!ZKJ(g1X-Xs?1{gVfgtR1eVApO
zAq{#3!2{GiY!KYFXrY1#!-1bQ$f&(E;6vv#23<HHbLD%AX@Dqb)67#lG^OF3|39D6
zj@{rMDlRZMBo0(Lwej0DX?Xl*#HTco2eJc{kEka|K?%p&n~KxY@Tac!-_=?^I6A<5
z^1hx77;PqLSbmiT;leb@y*>i)+q(a5MXN0ERwvauQDvaalXB{{jv$oO*8n{h4_;%c
zKOX1HfNfH%`ZKaHNcG;_J>#hW`;F@`o_(@VFt)DR;3x{u|7M;o^CG}v^`zatJ#t`u
znIXWxL>x-xV-x4&ltHBC(<h-F-(FMV<~*P$1<D$&hAGXeaQsHUkzs^9$o&2Ognv~U
z64QRH*r=$3;`525U<E~}J4MRj_m>59cti5qeiG2@rR(tuN)R+8ayW(&4^=HzzsIA=
zP|f@sOO027Z2piNAur^ixze@t>_-Zi^|%zc?DT-vEK=jPt0E}8#g*p{X~Nyd9rREq
z64)MO4ziL_g4;FJkj5P!xEQjL@!W(0$>;B6`;95X*NVyfqDCrUuB@9M&S(Mm6W6O|
z&sD*>T5`(gJPj&7)vKOvq`^{*l7W^j5z1a=^8|gSL4ca#;4wE{0P`xQ>;ZM?Jib5N
z<O2=jGjY+6a0U=zH?FBINdl(yjT?u}X^>1De(d|x2rQZ}d9J-6fv;Ul-wPKi1R4uA
zM%Drl@^E5LImu9|_oa7qTN94p4nNV^@m$ej{!Jf4GPqu^2+r50z;a${MkUD<E`+Q~
zU(_c<%d}fco)8JHKD7G4CT|8e;v{m9F_PiB5m%Rwrz%)}*h91KHv<Q`rzIsRJMWwi
zoo#ke1UH>8#v})GcyRb|Q`4XZgnfE`{O5jI7>|<ib-ry5r77Z1rx10>t>={p8WaUe
z=tmNFvN;_4;?Hy4P7MTl+3}p;c%kCmV8$M2b2v)*S9Fh}0v|HOlrrkJ5s3@A&r>(e
zcJ4LiP1VGX*Bfm1qx@}1!AwTFN|+gR2YEc|PEdd^p=Gr^yBE=C`NIj~Go~Q<XnCej
z6%S2oT$e()7_s!CI2&slQ+Ry9^!vef8F=gvmi2^<1AA$p;PboC1UjxhJN8>v3anl+
zaz^X(V4|^Kg=o7?;H>`u_pKkIVBIj@roPUHZ9RCk>(4o3pdDxNepoLEwcBPBfqDX1
z<eOLC-kktUjgPJtvGGF!=Sj~!OgOCQ(yf7dOMo>-Mnhl1ZfKl5_%Fp5hm~bBy~N!>
zpv5(X?Nv83Y?>QS{>sE*m!JE^Q)7*w`e5bhY14lQ!_iCOHR(8Pe<2}J>!Bg6PZx^y
zFDxNHiYR36U>wHM5naEE8bF=xszAumQ6xq!2Dj$`4wLN&%`ltShvb653EqloB+G=h
z79ftpwEfeUf2rw%BR}uuQ&-y2PJu=$c}f5~p>}0=?j=3wQ|Px*${0sOzn(o1`b7XM
zs&>A5w^kSSb`f+cn-@@8+;BHzu>iJt-+ue6tS-1jNL{@}TScGO4waH}1uzodGAZGP
z4xB+QU(=G>L{mCm`6iSJVC12eUlt46km}Q8z`t)7_V$7$<9Lq%w&eK2F4{vIXsM6B
zQJomEDn%K&1YsO@x3OL3&j1aCxW23nm@#7)tyhkDoyB4KkBiukouI*x4(|a9jum4a
zIKnU6iNoxl^c+a0Qz4Y+=#l&;HY~|fa$L(*5DOIQKA&`j3ODR}7o`I^u%=K67sf3?
ztfMpd@^Nk|Wan&s=#bcr6@)y=>M9e$j<T7zOXh3AQ}F{`QI%X+grc9wzc^tmS5x@y
z$^k7f2<Bk%aOc5fYOWC91c_iit6!Vd*EM%~ew||$8y~jRF_WYnC5p97YDJ3`YC@{Z
z+<(*&K8&&;M6G-whTZ&~>AS~E6PiyaF#oCN$Kvh#r2ZQh$Lf=}R?1a0!QVBHtLU8o
z_9eln!`4I+Q&gD62dz>dgzvr_Ln#hRYfZRyyj%)ntjhCZZlQqV@vpbN-wR^19l9^g
zt)#ICNhVF<mph(hrE^E^n-Jz+m-$2YstiW4eykIoNrC4o=9wPL!q`WP?2)T3ve-WR
zb7Cr~6v)y^xIV8eih1w)algn~4kJZ+Y4T-I;3_Y(kFT#7X1!82*kFps`ujZejEgDo
zKL7v#|Njh^cQ_Od7{|@Cv-h6o&Nz2xuY1od84Xb?Sw)eQUrQw=QA8wJA*HgCBoyvd
zQX*xPRAfX^QrRm%|9<~_pYQX$pYKO;@}Y$JOF2yTX|fM?(7?_=UbK(xG}vC@)V-dn
zfFDj@_)xJy6L}-vZDu3T;Rg!|R>g|wv+HKCjgJ=YrwwfVu$~S-b$c{)jg(P_p1)J>
z5D~Q!NM#YX=-`^Ga`W9D6<o1Zh`4fA8yWiNWWS0S!tdqYnk{Ck*ya(e?Q)5Pi!v4m
z29phe+(?jnD58emZh!7+Um_#_VB)@Iq7hUnu^%G;P{Xo_kDpvl>fooZvV+?@jbK-O
z1V?O>IxZM{Jh5`u#Y>EF@7q_5VMHZ3RXa}u{r8p4&j{(^Gp=_H-vdoRyR6-2<v&fd
zfAHa#e!d<)9XK0z*wqwzj5NxxFtyM@?DtR}pFTz%3si5jGlMV}HytSsBK~uI_~MY2
zKDs;eo=J5yhbrz*ua7(+Vy>BmU9pKi4xc$;eQ}coloJmVV_mhecSO>$d{Pgky#3>E
z_*lZZY_^vg9oo2W?-s4*P(7S>N{Uwtv4W(Y!RdWwBrLhGa5n0$E|$CqeK8zr4JGr$
zu<ubMbf2;vn9J8e50&?3H~bjjuKIAMtAK=)-d=GW{$vd5cq?;51;A@<Nh0$$32QXQ
zr<NzQkvUj=qu?w+k&)9b>oX+0tX!3KW-}2zKNa;zz5{>+_eXz>N%-)%U)HO1P24Zc
z_+%r+gn@f|Ew8`S#*}HN5S~_bY@8$=)U#)TA7lI8%ck1c&QX({Jg<s7U9SF2@MXd&
zyS!+=i$rvZ_Gs4AQ$aR~yJ1biOc=@SIL6zcg~i)qD_##Opyi6>>-Pan;NvAY%M5Db
z_^I_bi8-=(-T2cZnky50cd49^_^W}J*CymEXG-BIiB{fx5)<;X1usubtK;Ega}sO&
z#c}1Z-)*^hfYVd6=BNLvVeuJ?wD}QHOsd$@mQxQfP`6oR<4;v2G+dhFs9l5Gr?d~K
zo&-23aV_`4Hx+CP%vkc*6F^H*&L;=y09UpbU(0@@jIq8VrxeY3@zsyD@;h1?U@`F~
z{!qUnW?I|k`hDQW2l=_R5jqU;O18dTLQufP?Kc|jmpC!0KzTaryfsWFb-KGa$RU@(
zF&S1m2M$Th8sGn71$B&ndhYo$_-{+#o~S%_ytlDu!rs&h&R>BI-3rq9rol)hjlhmF
zGGvdmWJ`Du<oZdaN)p#znH%k?XG86#45=$WEnwu<m`K|}38agP23f7<*;svZa-9X7
z*KK6{au!F9*!Ztg3vAdUKkCaYGKXLK>KZC*#qizHY5Ii_c1%D2XWgKXIZ(3?_LumH
zVjSD!6WszFIMN|JsCw88+Ezd~FG~b>49kUab#mah&bTboepA>&a1E~+62?A;XiQ)o
zC;GL1tJ~;i3YMK+{@yRw;P6q`a|d5=VO!cJsmo7Iz-?3Lc-5c~e&zHMPyWS?#(U;&
ziJF^$_wCdQPXi&mICXDIipqnpKCg}XTWJic@XYVWJwZHXQEDik$cxU$*j3z&je!->
ziR*U=;&H3C1%GaSytpW3;qb%=ekz!;#~BNvpRCSy*J}dEJ!-RK!OjRYMgqsiEd<eh
z+}gUvP6#{mES#=%8iK-`ob|%Ng7|?gi}81jFsA00crgN3^9Kgh=T8N3B)3Ab<AezM
zQ0E&A*$m<SuV5P0MhL^!$R_(oiK0+p=J<mgIz;oisnmTJLY2a|j%(Az&{JjWB&RJM
zGA5ro%060yof{qP9@L8?m-$|W$Z;BI@AlknRwRrDpM|;y7bNh~^o7eYIW!<{Y9!tD
z6G0)_Wg#_ZDID>Cp_=GHgPw^}`Y@*`D$0E4sjQI3j0g^6MJXB_9eb{;UL%Tg)@o%P
zG+8X)u(zqDmkN&_*xNLn6~jJZzYS@x<ghS?5V-ap6}<BvN!a*`;|*%Z(TNiZ7#|h`
z+v2FO#pIoi_!bEan%H(Y(NPJ9aqv@b2o-XI-BuoXOX4^$IebJ)1vQrsq`cihg<$7k
z*ZfE+On7GZZmqN`YH1GnJ8q*wYvRr0MwQZ-GU+yOO+yViE)IPO_ossRvB1Q89J08>
zy?aR6S{;9fyr{l$k_x2JAJsB}a(K7>9NS|*4eXlv5JA69h0<$vy{3cmXx5e0UU69y
zb1e70%pRbElvl6m(Qri+bIrD`e6EG37hn2qGoZog+&98avdTDMru4bs9}$IwPMh{$
zp}|<-fsv<sRq$KHwe?p_NGQdsc#tea2a%oE^XP7>n78LDdv-7xue1hd<gNBdyp~mT
z+d>VmUz86WNYz1~;Sv35$5kHfx-BT9r;ZX$w8Zlzx)|br<rY7`5%d)(&9SR$pypQ8
z#3DVM`qtL<;;Rwlx`yhyOK9RBar9U^uaAqhk6=r;F{p{UJ00ZI!UJDApK6&>Fg7Ks
zVDgIzd=xVXF&xvvKjTuRf|aZJ3H|ZzMN>Gc9J_(Nk%&ci?|2SOQIPPTXsj5~9AX#)
zbN%t!NFg60^i5E(Y`XGK+zt!aT&h}KY)L{=QNh2zxfJxSf3v`oW(m?CTNuzzLb>S+
z2ad5*&`SFE`S4aN$k1u=d2UC>*>xJ<UW)5u*Ox83B<HN*$bbG?e^bcVUDlpn(xZ#n
zFFl5$c>%bdtrPR8CgbaqpMFMe(?N2uZCXz(fV1RB?#u^dJhI{2hLvm*t~}wdyE_9w
zZaHH9Ac~BX-`;+&?h{cW&&H0vi3w6SbKfkek+FAJk0bV`CR(0$txZg4g86{)2lFfv
zes-^5_McNneyu(Q)=MVbNNW(h^ivzb|K0cf0je0%By;rfAQNmZIXyOz*G6a2oQvK!
zl<=#>1%}5rCOq)AKekqvh~^4Bq5DhZaQeQsm)Zv=ycPN*mZ+(P+g$!7(f>)|v-aw6
z(<&x}O#dt36w*ZUgp<p*0&(>J!OO=J%Y?I&8G41^)ls-M{5nsu2%7aby;E{x!liGs
z6wCV6y%EMUSfwS1=EX&2Je*8eBg-OiUr|MqyFug)wLIu&OD<G?2=Lf?fLal(g7nWK
z0uO|_FiLy7eatQZr^V1am(!I{M7i-*vjjUfQsRCH@BmzO7~G)}rhsY0yEFO6mRYkW
z*smVk%77-{@RJVya#((A&OT>so;AIT=WBePHJo*La(VEu403U54_@9e%bFT=8{G8W
z3LaMb=HwSiAwg4e-<FbTR)WJ4#foYLhqOLzA#qBgM06M1r<y62#KHW|T_-KUudCvl
zag;djtaTrr3Y=m+kIg)N=9LB5Kd7u~R~5tDoi9{cv!__D*|BW83KkGl?D8+<n+VpO
z)pOyunPx2#Z7iM~G>1}^gT^v>!uT^zr@q~8hSjyX^zz;oGtfH6(f#b95Sp*Jw_Uk9
z%Mxnd(6o(Y29no<v71j26}yU#bP(rRZ9*1La^g)vmgjW6Xf{6{&uSOy{<Fa95jbzd
z{A&V-E?c_G1o2@`!e@uwKbKfm^o-MXJ56A3hyA*YeY_~ErtW$`Y=u?dEG$>pY7Ad)
zr@r#d<G~`fWXZt$Y<PY+B=rCogHu4^Vi<u3^WVNzWBb95hXNwFGOLZ?Ki8GF+?fPa
zR`7|OHRZ%zCrCbeMn(`)|NGzFtpvPs^J{Z&CKo!!^T*O28Ny_wKqVarxNdu6Ub83x
zBUJ;5RThR|;obD2)0Kd^ZQFm@<?^6KVRKsBb2>zA-_j`*O~9Lk-*hW`K4i-#-%oL;
z!@GW^mby;_lyCaHeui5BZ`5@^*Z59@|4J%0Np0o92S!cWD?@@<9%=C4UK9;NhxQS3
zXL-<tCa~K48Z5YDCK8}TgO22Ht+dCynD|n-wDyb$mXuz&8QnmI4x8JVi@ALGW98K4
zs|BJMnDS+M>pm)Y?i@D^E9A%D%Kw$R^ogOM_+^T<EENpJN&?-w1rXoeD88X5fjgq&
z^>f+`;P6a@eHK{=1#hi)+j3PB73fcTXD%ARHkmljE4S7lhm0fWNK50D3kO?1xf(#9
zxY8>RbrF;RJV3+0s4hSE@u3Vd@-*k?<P6|OK;>r#K2iK0>c7YqCWp7{jPC37Q@}c~
z%YK<l3|U{y`NW(Q(Bjv|#|AkR=&wFU36d7a>}a`Euv5a9vL{4E4pG3n%v1UpQv%bE
z+ZC2mR8ZmI`yHy@6xf(KYAAV55`&o)#-lE(xMAwmF23Cq__O9Pi1kZhO#FqqoRezk
zb?wyI+6xpAJ`^jV;30#XY+BA*K2gV^c$#bE8wz|C9m+2lk;RIzs?;02nwXTHME|8=
z0Ng>p>)s^G<J6yc){37NZf$SAx^a&I^t8NkclK1odY)5_l`n{xa<`}N>vIFh$ex(9
zG*-roGwyUEorI-^4gVEdQ6bT5-J$boDroHa*dsNMj2d~B(wE;*!Q<J9f}7c@SajW;
zbB0eBIj(G{dYz(y^$p+WmBngE36;jdKs`J?!?|>DEggy~>!*Ag)KQXs)46ly`p9lu
z=vYHF1nH8E0hu2)kfrc^;Lhh&zVwvzxS1J&dq1^1V^R}cqgp7lp$1r()uQL_Z44#;
z#J!z7M9eYXT9(#jfLwdb%5UbFz=O>6J<FonsCR&-#U@L|3Xf=7{){OMDwl|836ij5
z@A_ItV=C@_^Xj3PuQ~Jwbe;b^LBgT8@?;w#72_>6JcPO};2US|#n4A&jBcCr6Z~#~
zu|fSQiW{te^2p26e3dInkzuvTM+|VM&>6Pmr`8a@KH#)ShYoJ~ekO0efP(*MB}z-8
z0PIfg+Bx#NSR?Rt&*F+6Zq%*YGrIb3-(;-o?V{@9GJAyMZEjs06Y1GZUiB0gLh*iE
zF<s1wy~ZZnM8dgk4NF(+nQ)O(U$MDX2m60t(-U$hVu(@>yQGp0yxv(p<4;}XTyc=o
z?nVvFAs+Sp=xYP9@{zGs|B<ma-QO=-R}Il9!SL7x8xRzt(;%LN&hc{kE=*-)r8Y;k
zUA2KHF40YnC$!OgtnifBZaMVx6LRT^vw?eR<$~PKM3iD5Ah!2Q;@h6M?LoV3K%`8H
zM&j1O6uX$&HO->9!$j2cwZ09k{qDea=$-}!*l{UmxeMa{ttsgV-<iN&ifK-6>bQR;
zjVnx?fG+gYk7d)C&~>t>G3u8pruJk_XSK3n2V)Plz?=z!`#&BKO;N#&@VSlpqjRin
zYbRjo1Hc~L;8LkbC0tOl5!?Cq59_6#)xG24tDYFbUd=x#kM5^q&L0;UWx+|d4o*RU
zpM2ko)?SdsM^?(Tm8pJKY<IPy_F4vf8Gfm_)m|F!)!gZ6^nK6z>tWp*d)yjM^Tqzu
zCre^0ePXA0)@xS3n1e=5=_-#5Lk0GliDQRUclbQ}b5>%|r<T{lmM{>hc>Zj-D8AqA
zR{r=|1FNd=GW&mOmJsc{yG;4MFuttd^HJ`6%92xGuOt#+0Rk0?CSO|w@ljV`*%7A~
ztb<z~<+QK*j$wX?n}7*FDqm9^7}(p!daEPQ^lZiq&MTgIn>x;e1ZWO1ebvcIP%3l!
z=x7EF_ETR3esE)g&clrxw0c-j%~!Z^-4p_Q{W)1=E?nOAtb2pZ7uL@M%TGDxO`t_H
z-e~*|2kM2JoGhvvWTn{!2EE>D0veSymZLk_(Vg>d$S%1NmRfS#2BSJ-Xu8{$Zn%~W
zM-qysHfD^ner`;gk<u~-c0;KLTF?KnGS6J~q#KR1mIuz2Y`kIw_nZ>QhMSgI0&IEg
z{fB?Ek~)r3Uve2io%-30p$1DV%=`J^y7yn!tY_quPlO?8R3G;Y+qTHs{q|Qoo5vLE
zY*LIKVTulXqk3yHUM#S_w;wK(@}6P&ZeAKHSQTBTmwYt>M;2IIs%cN}9G_$9w|t$V
zPSQZ;fCH=4XMq*+{&Adq$pY(LpuR@lF&YF&@-fxUEwIvkEj<0_mss`7q0BLM8ayP8
z?rQ8^V429VY5dr|!V(v*-n}M?3j4ji`tyPpS>M{sN*x#3u&Q^_Rak`zlp^h02XvQM
zo$GlHuHVXm8x5yFPdzk%_w^$?FDWmx_G-=9eQ4!G*NC)=Ru=<!E34KpZTFAW!Fe}+
zemgfVJYHGj@s0u|S1x#2UteJ*Y<`?Q!OMf?r7?6*X$t)4j}~iAWy9f%?Hj4xyx0{O
z*fH#@4<1a>U+)jI<0((QhW)Sj@!<Bg%w3gwu(Ye|#IHjf=$&!1^3sSPt~n!e)l^Im
z=1RM+oVdh^u^q~O4=KX<u8DDn<G3yq?Q`IztorSz^l~rdcOvK%?$H)HrUUR6jx4JZ
z@I%R{qmP~#60{HRau3vjA?KDB#nl}$wCU8*m3(m|n5zm`{U*ax`xqLJ9UrzmIzM^H
zR1(7pFYMZ4$v}L`nAtBPfbubnla{}wu<!FisE|GxDCd0!ta*j-`<<wT-c}jBTQ$F3
zZ<qvcD;omR^;bPMWJt03tsG9Qb&4}CBf;)-ab7;pMDWiKk=JYgDIoR64YPzq64*%3
zj0*6J;dcq&RzFW=bXb2(Y%YcbHHDSR9Q(y_M_fc-_b(OXGlRs+bP_NtQhk1oOQ560
zg);GVYDkb;d*<XT68KzIZr++Gg~v9#gdcdUjwBvFy9>%>NO$|a`=*-=D)u@RY`4+G
z_`K7ZdD&!WWpvGbpvhs+g!tUaFIrfn5K|=Rr~}Xc@ff6-D&VvIka#dj8`sUKhbL+1
zLa!W$XOoW-o*g^Qy5vg6i~$3tgM}U(9xOiSv_%D<jNQ*lk=8{Qn}~<UlJ!A0u4b0w
zqAEtdw7cy$q=&BCDFwHs41f|-8a&XdhKF~A?ykK{!TpyAHTwKi;1+o~5g@ODYoyO>
zao$_y-~}726ipiZ^4cjTdPoy>aw?~<AEjcemiJ%veRPoa*v{tMs)bF%;!3<E8WPfj
z8~VBp;fF;~k%NXd-pC!x(5s<gj(ef+uMlHsKH?}dbBKgEu_-)UiH>!)3EJkGrqI>v
zAg*<vj2A7p?s9jdqb03Pm3zSq?2Vc^OILaKJ)4k5wWZ^KCUs)90~Wy1`mwO-tuE$H
zeq(o<q~TUoA%4NPR=`SK^E@q24=K*h?oYPUQ1fwljpri<gss~+^x9M(v%`Mc`=6v@
z<J0<Br>6kX-5YoLCF`S2YG!`eHUoSS6WnKel?jm_SC$=b>0?G|Z0(;JJ=~<q=9%fd
z%BhD0QNd7soOKFgPW6&;vygHjdC&%=dwd^T{?bFKiStvr=ZWakI^@u}(H4e11Tc=M
zhsQUxl}C$d;EUOhKch2j!PcchJ6Ty5t@d$Tf0wU<{kaFX_Se|LzTn;2;eBN6h+HBQ
ziskSzIA-pvw1vs(eMeM6NqCm@^~HFM1UhZ|TDJMJEigXLpGoT>qSvhwE$>MoZ16AP
z>2$LNgKBScWnC>y4G+2|WWt4R++#BF^ENP}>(F~6OaoK(58s+=n`P|`b3Mj+#Rf9h
zJ$ff!u7-_?G_$||hFE(C<CGj!ZD8~6GqH9vDwv+(G_ZX80i$0kI{)TfCJ?C1%twhz
z*p%7aY4>@EQMU3fAybzL(q79{y1P8~$(RXOr~PJ({5X2Irwl;<lHU0<_A;n^_|tLE
z@M*@m{z?vaLx7B-&2EQ-Br$|x)pWgmj&U?;F0l3p12itPyI({xOgE`k`8~hD$ghf=
z&yKeSIX3q=J2w&ZE8!6F)>~rS(W!iIeAfybxPyo)Btbmp93N7CYl%^`8y&}6Eupe?
zOOUY=FVZJ8{5M=)VsLzv&wf5{0klokA}+_dFyvzNa)HbeLoWD`*#&(IIPf3YFV&D8
z4MiG8y1f?}7xcxu`u3T_R#|J!`jjP>j`e}gyi*Gds%C)Aj(cYC(=Aql&3Be{ua}u*
zcyXRl7bSNzWzH1X4qu<ve*TvgBdhdB;p!Y?#;8zKa-Ati*mKEF`i!$k6+@<k;#tO@
z&DQmixhB9Lc85=%G{TZ-AzL1KH^Zo35%UdSG={#Zvpc*KzpyS_TptOMpJ4z+ye)5s
zF{Fm}ixF+QSh3dwj{G_^&DcBgC$s*k5k#E`8VNbx$a<|FH-1cTn!)kfG3=6_5%fny
zBrgeEWzGKQP_w6QiV>NttMoqG5CRMLcD9#3W^A~s*9d7-jAzEIydV)n(E3;vU{Tw`
z;P8<maimW%J{x?X$j8y4qkc3;abFk1`GZKl+p{S~l&RU?W==YU{S`?uJMfXgectWX
zEtzS?fLB@e=4cwUoz0ll=k90xZ9h7CG<}*OGhAkwL!d#>2E(_LMT3mOdY7rKwlj<p
z1<ml}OH@$p%l4Qv9A;Q~uN&u)n`H#?)qRkWp~8WmT%TO;ePg`Ndd+n~agGr*mg}s3
z+W_))?|U1mjxl7O(smlU%`;vTZja@g7(hVSJqe3zKN+F7hdiF$Utq|!gj>mFP#}<h
z<#vGV1Y_dq=Be#=ON>gc*22nWeVF<#6i58<n^F6PF_tO#k0Hy+cS)38AG{WJoY1EI
zW%z2(2DuX0!1geumBP@2%#{O<uX83D4Th@0oEq#Px^Db~{5f67)h^~Gt4%ZB-iL%(
zUk;e#_L2JeMh9MZd<xr%GmIMUCr4}=IN`m2QOYwl9e9vrQJ-^ajxp#k9P!hh8{YX}
zRO>oPhKSBImG#~WjBQ@o$5Z|iAmJi;!l#b}>C<A#fA=gg(p>5;X1wAB?#9v!4UQzB
zMfXVuWdCE#_r+;GZRdyT{?M%5HQFGoJ@V-D88)EHj)jv2g+SoOIhP)~HY_N%j2X1E
z!>%V^-Q6OEVYcU1%&RIQ@CWeENisM=*|@JfMoJVKq)KFk9f+WM-B$We8yBo8{gv39
zC<e=A9*QMjw4l0`_nvVy0SJd?A|8<?pjOy9v@b>rW^2k|gAXsPO^F+zj!QyS0V7Yt
zTnkR>&nH#y<p(2W->0TM(hxiJ!r$qiCTuz8WfXi<5Y|VD{dx087A`I>hac|Jgv5tW
zdQwG&A=O$tY1~W!c*55$(^;C3*L&!I-DeR{?tz+Z50&6oVTXM}gC>03>~dzSs~E_9
z`8C&2t^z~y7Ro|jG~u`AyJYhLaoF&HOfS$-gCACXYy0H2;LxVIaKUSmF!3d1#Ir&j
zbZKvQy*a4`oIg%DH64@&P7@L1`kk5(dXr$`&qIU_BJEt#;j-}A)hTvJjR+dQt5drg
zh+sF_Yh#fu54qQ>>dV<kaPIE@8^RUZkTV=V|8iUrsuRMvvnI)q)*@PyIY@##x{?-E
zbQO?HD9$jM(S?ml)SNwAbwJ*vle;5Y6;j;=c|NmIpxJNw%qayuh`8+>d3RV1{?qo;
zO+RM<Yc3JhV~tn+J(5$q!b1ZtHkH`@h@yhgdxPYJ_XaRh#Cy-YQxgg{9=s>Fp9VA9
zyH@tt&|u{QFPoMJ5mL)wnaQ9-M6sA<$`?9(RWE(s@j)AQ@J%ku|D;2(`OxFc5+k^^
zZ-XhvW-^>E(`7#yXb5+{_NW^an1D)Da=^%A9XRuF|B_^ZA#7V`W0Krp2D@*~sO;d@
zgX-Wc&TAQl(7??rLz}UHk%E+C+qLw;<zk@8vV|eoGPAxn(XC-6>cq$mQ3@n3e7i}A
zrGuhe=ll;kK;<u)kfbLR*i=4MaWsMk#IS20=d76^&N1&PDr5ksKe)oUJQZ5nZ~eV*
zU;`=>HT(-=2GE~%Rs6@eJ_LmfkKS6bffDkOVBSv@@afpGDa}*|MACKdZMkI&d#jwS
zwwO_%(!eF=G!Wr&lM6SOoE>x>j0pH_rw=EIk>?Dl>R_E(R;Rej4wBB~_Ia+}rLyg5
zqWxYacrWTUML%o@GR6DS&&B9~{fk~{+de5s{Mlg`?PCW=a`hZ^J4i6at$MBZuQ2qF
z=};&{J8)ko)F?Gi1e#gslLQtg#Ol4)@_B0uu8a5Y^6_c`fBKPACldcMgd4vt?)SHa
zztl}alL8vBK{0AwWOF%#jii=i^34Xu-hXp)6H$YDnccV2Rz_J8N)PiNuKM^tmzIiF
zB^8*lI<>SQI>$=O*;B>pX2Qsu4`nWq3ed9olgb`THr%VjEhg;3gg)UcjqSf=z{|Hb
zX}1d}#+1uZoErfOPVw@;yDACE&+ao{g>vJ=c;7}#27ub+N5}HxVu03m`y}5IaAkDx
z#Ly`QT&sN|mt-mozmkT-zGU&>Bk#y_qp{YI^7+cx%|$-gGFjEFHOqrbdUHJe*;epR
z-+Et*88<vPQjlk`^P<jzhST+0OV~2AnZItF4P-@P>(#n=aQSSrZ1IQ%_?ACy8&z3g
zDDU^#xp<BTf3O{$-X~`P=8t)TuF)qM&9YV1sKJAN#YyZGPjeVuCocAkbBv)JL0bHX
z1SI)IJ2_>W!8*PG@%1CU3}L^9{91nkN{23{$&H$V`(}_ywrylc`})d+N)m9OX=9m?
zl_|_oLKh5->RJB-0096043~#L)qfPm?Y;Nj``*jF_WmB1kPx9lW|HcskjN^^DygiD
zib5(4WJJUF(-0*iQWO#j*?aTz51iL|o!9d`@AHV&AG^-d%ZOyF`*Vu2^&mNJX*2r7
zcU(4}xG4RK5t(1OHGFbK7rw3j^d0RT!~+`HnkDKOQF-Nw0e&xCc*R`R^~7xqSN@ie
zmej?FwyLuYt(tY<U7%BS;+|>zgoU=76+aUi+0PXI*;ofIk38HS_nX7#)_d){PBWnc
zKY~I+E487uHsK82@&ax-B=FvUg$Z5gPZpNY&<06{mq#s+F5^RHCvCY4nbD!Q$*zye
zv|zi$cuWMX;%xj~yuHCJC`)TkjDU_7v;<V-^09B=)GoJ_u>e+-;WJ+8glmF8+^K`&
zj$62phj(~rG8>9?{mgXAUK6Z8HSRLAqd_6Y4qbo0up^q3ml<J$6i~|Cdn+ZJ7SV8j
zKKa{{6LAPH3MWKSfW<)Ok@O=v<i5Y$g*wKC4$|j*M4}XUywX3JI8KkonTD-1J$R67
zEIIbjYclMsQ_3J1Ga{O#%EU-7US#=1R6W<941Ah`r9O9<(2*ob$KohHG#>8!q*0Iz
znGMonr^H#1+d<K&^OgK)t~j?L>xKqIE3Bxem$RZaXO1uFEP}``jdVtvTLUcUn!}k6
zv!j8syQjjVg^*O8%0}`Hb=W<U^^jSY6G<%Zb8q7jK}S_X=>L+`p<6dWx`W7#!joQ=
z>o<y`J;K<oAKyq2_=MZU;T{hfkZ!+id{-RZr${pEXOJNNh54_2A9>M<f-p6MJCexJ
z?oqeI5fWS&JCRGvz>m7#xRhBmNF%eT0{vBc68v)WOzhn+fac#F>WycSMcl%_u4Oxs
zfN*E`DeHHF=<TU^+7>f8wAZ1xOg4-JqkD!dVr_(x18?O$@vHJ^ush_D{0kE3KIfra
zm=r-lx-{X*6AI|!(<fn<<<+6uTQ+m~u^1ALtQe1US3+?&^NeoQs6%;To`diu3B=mc
zR~*x=j6BT58%M%5pj&@)F)mIDh5lRK#p$hz`UPLj^XrnKXy8Xrij53f?T=jXn^Z##
z(cxL_pUKdXIbc2PEsF;BW(C_u5>e-`97T~>3Q(ppl*kw4kkMGC@8lK<N!T3UA~<UT
zCkLax%42y%VJ~@58?1qZUw-0!zFP}EZhsG`|EYlb&XqA#9wwtr-zSlWeYD}X<dQiH
zrxL0W$tXx&B_p4F)`LxXI&gJr>@LMf8HE><x(=VFpwlmxltdPEq4xeQ_h@ewl&(8Z
zH}H{yJY&bbI*;jt@3y|?zA#l(Xdg7vwn#x@rDdN}mJC40RlF+jj2il-b9JhEhJw~4
zB*q%kjlg%`%Y%~p2?*X<-wLj#pb5R*c0xKPurB8+f0u`dGXHZhn*<8du|G@j>@bCd
zcP*3ow}~j}678es>0}gb<)LYy0nlD%bfb8Qh&FBV?0VcZ5Gnm(NYGz^h9}3Ll?sv2
z-r8X(B9Tz>ity4xvKdIE9zBz^Mnu>Wn<Jr24ZR(mR>OIza3r|zfZ1IlQsPK6Kenih
zM7}$fbHz|$yy;<}HU|;iWgERJBdUlRgwdIrCMrxtA9_oV5zu94<~{GU<WK<H=o5nl
zD$p+u=^n(?PzSbEQ2jy*C9n-7)zFy39ob(RVFIdXcJ#xa%PyiQe&S@@y%{P*y*a^J
z_dyxO&Dna<xeB0JS>Jn6ja1;<b2XFEO9}Cm5QqG0xe-tL&Ot6w;YJ+go%vq{)G+FJ
z7Vl<8O(L;VBtt5^+`~CN?kA5Xk1o#+iqoQnLGgO$elv(xGgU4dltpZu>H5@_CH$a)
z+h{<98MOM9EgJjFphvMI8#P7a_;;UuzjL|Fpq~9Rr_Db}6nwj)?VHmNoEHAbCENiR
zJ<+~!M_C-9k)tbJx61J<&T7!70K9ghuNO-ZK^viiYzj_I7`fK$UQ|2=9e2+EXD2Fz
z7}7FV4<vra3bUEwy&sx_uX6bh<}QBp_EC_x;m3Z=)>_f%c83Wx(|H`s#(B|$&oUm8
zhkj!kM8n&%v?dTK-<2=^j2peMA=T2;4q{8Z8Q5tZV{kh5G>XNH1D%sBB3{b>jrBE2
z)is|of+rEI<4;sr5#KfADY4K2>{E8)M{>C#Y_S(TsPbb%GVLdp9RKUXp5Hm!nYg1*
zYWHt(?iqTN!!bP<B-MjWt!M`4Qw?CMkSol*ffjvzI@_f{{fb$aaIl$X>Vu#S`=<Tt
zZJhrc@xL#^t=O$&jy5Xedhnm2rJ8i$2Hqmwxc<@d9oA)ed6$fp9+cCz>i)U9ic8fw
zp60qyj;YCyjE&#d1+DP0e=H))_(Ds_?tM42@a0Oe-7cKEU>K$wk+!vfOXWWf<k5YJ
zN1VGPP6*e5kF;rIQ-gUt#p>Bde$OUc|L#&F{LzM=lqs$(d=}^Y)4WGA`U~E7(ox~$
z0c{X){v9-SX$EH+FSx(2<{NGlQ^bF*MGK~$Qj+WBrt$b+C4=O_pEz^+3z3UfT5!y8
z{(g1AB%b3W?PYaw0RJ9hHbHFA1R?qJG)l1(c!%HFR92xOJWIGuD#TI~rg?7m^}iU$
zSEQ3Fk3Ic^_xyBkHf*Lq;i!VLko7puuw6gQxNj66*}Lu@>_mYT;Ui)8vg7#4xSy#@
zOyhW52IfQeiwtJB?i*9h#&LQ<?ZW!bNgT_bkLnF1gGguUhqfJEg7Z!MuGb9y+jCFF
zz_td&2yQ<6yK4fcp$jZLGCGS(-!_f#QPTkWed;#hij%l;Qo9XJ@;uH@OtMyVSBDq6
z<=cnNrf|_|+fy;rMSRt!=&x8h3DUS<?>&<{jngTn>nTbs<LMr@LAq^3Xo(wSRmq;g
zFS`W|UliTp`I%hi5I!PgYs!+I$IjyQf11CBVC#7DrKM-B?gZ#n>hVs!Jckc_^Qn-_
z*u=*>M}u7+slh*@pORk9Jiga&%aWgy2E}-%Ul*ZOgI3aK`v;7R`1!Vw5iF1v?GKRM
zrQ@Lrq4ZUzCQ(cH@h)L|mq|J#AJkvmg{y#)F^$!0(G~o~u?UB*>kOzx`WUU2stVls
zsI~4fyo#%<XAPvdGa*Oj={GsK%FxQBd$h5C9gh|rQ_XT@K|jRbwH@VE2Coy28zP)r
zc=ckH+~IIGR25NPA(o~DxBWk#UpAmYZyBeQ-hSagJm0d;*oZ0tN8}9=?JKmX=6W-G
z?-6cPr7C!(s#FoKiE7^yq@hR0tMJpeBzRG<C3n4<r6LruyNp!lFrX~15^DbgKEzaa
z*Pm-r0rI(h>%&}`P#c?nMw^=eIx7$^8G1(n-q3p0(OI$}w&dF1WjaDghjDIAz*hl!
z*i(k~__Cp*GVSVb#v({Ks3&_=O96b_KCUG_<3L_637&<g#Zc3MkRBTm1t_l{*itd#
zMsyvLot}LX=*)$W(HwjV@FgVvPyh`tlBwv#<YJ`Ju;Pkrf`S61cK!ESDxMGZ>6vJ@
zs>!18zUkd1P6{9)O_&uT2%xo?)Vs&4<j}nPnmJdo0;uj0i@3Ech?FMw-yU~YKo4~?
zJVnJ7VTyUZxOrR{y{B^N$;c`pA%)O)Q}v3VI%qleAFCMR;O=huNvDFW*|~@bH<Vyq
z=+we{M+x*j$guOymMWr~Y~;v$s0<v9N!JfFNTIrrk|v`a?mZyf*vz0&g&(x7eJvF-
zD4y2(mIFl{CHh2CtculuVwff8ASj3ArMRSmh-CD#O<F4LHW31zEG;^u$fI)gsLlWr
z3Nq9Sd5JHmLsO`@Ycr1`YAe%CY%<qGp}VCxJ-W$Y_``w6{jL%!yj&?hqoakm?oLO~
z9oK~0b@i_q^;A&S&ve#vEZT_oAB~uwrZ(6KbzSHCq>9|R%J<)Ss*Q}xTkUocb>U`Z
zq{^lP0qK03yIv=zgK~Rw(rfqWgTpIMgLFhhl>z*dewYp-aJG7Uy=e%s8D6Xw9O@{D
zQ8luQM+Zf%TG<|2HHMq!<0p`k22yy+s&zV18_kIqH_*6ZaHswl_|cNlwU<o`k+-za
zn=2FaB^>~wSI@gi*^rSvtF@n<izc$I!#fLy%z*vNx32{OJAce+mLt3`$mq+dN57rE
zQUMXav=zFNkyObsx5g?G3S@rMq<qsHrY@biIwMX-B8q2cx3W}Gb^Em=`V<R@{LXP(
z!AArAdv?B0%1RMk4ebbK&9Hz^3C-&lb<|PlNxBxf6&d7@Te7`F7BKYU-Le5rL^2U(
zntLCLA`kbNvVqqYfX{H3*s~K**x!R+_-XjiNX#LNpzAwxc1_2eP*Fv#Y(~&$%Y>M6
zShxAX0@NroTaOi$5$!_7Rh7X7+<ReH#P(Nn2zm8yDwkIg!BMBHeP_$?{ipTXB@UQF
zkzky=>#7|3=WEq>?7u0@rzoQ~q=gDRVK+j^qcX^NC_>+4a~*3B{Li4>gbJU6*LEeh
zN}|Qf7M!E~bTBd7q*L|S3?klVTvk{YMa>sK1-gbZ!DhDTPcKO`Fe}oIQ}h->_xLIt
zW|mn%&Zyd$E*)UZeQ|w|o*(UvfA{@b0UPKO2Yja30W`xahaEe)(csp2)wi4M5LGTa
zTPTb{_edaDx&j+=KW_0=MwkQctMFNVkT(VWAJ%ibR~b+^ElvCZ9S&F_QVxn4n}9`X
zYKDs~4La12o<bGifNz53jso7sP!;WOzDZoc^8_6EWj?dR-4w-#%U6wHZ)>}STmB4w
zNA2Ez_aJu2KSIZ~*k}lM#>dyYDu?i<FrTN^JnTS-ok}%jGX%|zzaeM6TXCn98MW@`
zY=G0))$_X;K>LL=ex=iOSYjThmR=AWSk~;fXu7Wti`Ap4KL2{K!i*c5p1=nFQ;FFh
zX!YSJp(0`P*&l4s_`29-5*u*ocOJg(s|WQJKRc%KCb8WY4aW+N*g)2kFZK0DU8wFQ
zGGa&PuvniwskA^g@GVVASku)7&DK48&(thp!$v9w@eORiw0tv=sZ<9N4d-j}KCWO3
zp7yrHUF`7L`Lkt(oDM7$&dZ5BUB?;^_+^hyvV)n?UjH9=v>{5&dBiSg3kx#}{WO6%
z;Bi>2=_v(mu)N;U+L=lNpEex=JaJAC&f>m&{D~IyO4MF-?V|;Le$}%l{&7Jn&4-_z
zMq1GDvc>EcfgUc>eXoBa%L9)-RHxx>JNYmXu%sHp07nG1U$*?=f#K06mA%I_p-qqw
zVfl>_Mjoj>^L@(;XWmmLD_Ar^<T1OzvLQ3vJ7C-ESjz_;W~UgGo>D;gB%=Ul84HB$
z?eoZK;)hh$(Uw(L3P_)f71q#YgJ3ncN$UjxI2kUHoytLhw(jCD1D))U(KTkCWGn=l
zZ=V*pd>}*dHMOPW6i%p;9^{QH6ozTLoTI%-WEkAQRzkhGVXdQy&rewtHbh-b8yv|{
zFP0=RS;_;OLQ$_AK8pcIz9vJP0vWDIeH1?aoELh2`~9&_mjL#uVaD&YWLW99JE!rT
z4{rb6C=iX5f?gHV{O6q-K(d|qUBWH^Po!IFrKvKYb#6Ik`=th4U>~BF+Aj!MWs_Sz
z2W3I2OHf$|*MO?ixi?-t7lPyMKJu5(%fb7}7}g)ZG=MEk^Hvx|1UwJ!^Bbv=hy2g?
z55MFg!`D+0qigR(!EQi5*<w=x0>Z>t%gxDfLwwHV_9<})^)`<G;GhJ{@2-=JE|bB-
zDb3YbTN28~rgIygDnryv(37|kG7LGL`Yy{W4JE1t=H>jVpqTXajmaSjxE1=mJas_^
zYO)-6w@0eMR@tmg-9HL^Ay*b;B+5c=(AWD${RHrPPRITrQxnpcL|Gg&<Y4Yn_r-Eu
z672eSnQ+Wq3odalV~0!R;n2S(-qa{{=%EvR`yJDURP*xHo>vNBuiM|>SEvCT&5pbI
zsXFkfCNF`#QxTlclKy;fAj6DsZUxmx7g}m7N3RYmLGk%D+kt8_XrGJ!wg09bIG)}U
zVK$)*XA_KF%GSuhkeoKrIiU}2foxUo!z$2wr9SPLC<VIX8NQY}7(yN6*CRO}RH19M
zihg}ZH^+BXm#QNp*cGb&^VAhJ2>xmpm;8kcfu^ivvX%*4`a&P%uR(xpd2g3lKQaVO
z&gNO&F$Es^XmtD`0iKHMwnSdl02beUdG?zaXuD3@8!r;zgBomnSR}#UNd`u`oqlxI
zwBx^aE+S073T}SHN(8odShb&q85Cv`Lmti(py%+g_Kj{;SQ)-4Qt@DiQ|Zj90!0L9
zJ)Res6sio)hD>)pvrxe;)`otU6anT320qoyDnPOC=Sw|yRFLBeaJCLmgIk(>d)NHr
zAn}HGn_V~+#8;m=eoasXNzbN7KJTR=AW66MPXZMZ<riNpMyr5sLrz@tq8KD`hVX<%
z?aaUYYx$wGGUSU~`S&DJ2qy20*FJEgLd4yDUO@s%kn`AFbKoc+96fdjf1*T%F25&q
zzuqZ;*!=I+{!C8L+k3raYS0XfhZJvH9G8dBPAYl<4$LsLP5#-OZU#a8P9q*%a!~*8
z$luSjbWq!lNgX#ZgV!<~^s+TF5S(54=&Q*(Rz<sYF|7yS5Y6YkCM{CH&hSU%7HI)9
z{qJVOtup`@z3&T8T1o6A?XJ@tj+2;)*7El=+yJ)BDVa5cqHt7MfH<)|j18F8v*<fw
zpnqW1)_lkRhU^2=>%9F~&F`~yUh$^T9j$x%=_Nrp%rU#?r0h5Bw)W;4{R<OlJpcCK
zi#&etaKF&7C;khj{=B`?V%`|M($Y&<zVX5*mvzAu^EOOt^%bd)Yz!w_PeeEx@jy!^
z`}p6HHcaXX1x!vG0sq?XY*Gd%%tXEFRc7hH9C8Jy`7aFNs4lJTy)8DdVKwkKJJ*Gk
zb4t|nGaCX|S<@5KY8IF{=bv|o`3H8s_OW%&K?A5&U{I=j#soSEnTOQ<eqjj}G|a+f
z`XIB#>K!r10EwKeWw$E^vCy;!2_bCyQ2x|ma_$s8;Ef`)Nz;EY<7cnVTsp1?(ffy~
z*Olnt-tr9tE6*{^rqJx0L7Og=XE`05;H3pDIXt9dVFG(`gk#lLUl$%E#;E@$(SZAv
z7t#;*&tN}KZ@>I|PX`Ve+x;a@Zejd~^-c~^=df)uzfr014tHW3YlOaRVs^Ho7RuNH
z_Nl^N{YI)bs9RFJ3}`p8+J|+7V%sIGb#+iAn^_yKTOInqeRgAqQ^+?sa0TOc?K*rr
zK?^K>^M}8aH?T@Zrpp1vYZ#s0{jl52S`g){Z;__Ffw>6F8L%#HV3e4;AJ<YfVOg4X
z_v*n7Z2d!T$l=4=nEYRdkYHg=kbT$9llXQ6doF5A!>~pJ+tF1Y&F@iwR&ZB_x9=vl
z;+QqG<w6J7a*~ob^(a6*&=l*bw}pjI=;e7d(ZdzeBF)dwWO#2FWVQj@Sk0q`a9(Fd
z*jU@MRPRrQl*ZW7M;HxEe^EbYw!s7`_R=w(3}jFU&&<zUr2$*vj5jv#S>P#Cv{9J7
z2JA7Ejr-k73uey$G~bl50Y`t7i^VN<fIXHa@rVvQ^s_vI-f{pbrM4<|o&>u~{UdAJ
z=z*(2A<LbH8`edBJ6AiCAl~)C_~s@9oMhb{(_g~_G!%A93L-+z^1aVuc1-a8c#%UK
zGaoeFI2hEXM+D|W4J*PpGYC~*i|`BOhl*I1!x1kD;6}?cW4fOen9~dMN4EvQKkJK6
zg)IR}X$LL|39>`2pI2hUV<FgMZg;DDLJcmR(xZBAaloFN%?B<<i$KZ1i=MRGYVe7j
z7|$%o4Ij3-jvfvXgR!<?>1J;=@W0n8DD;#E)Lir&oUTj2R=cxslfD`lS%(+Lj`Knh
zU&|lcZYl5;<s2ufsDYKv*%)67et61blRtM)2Asm8_*ga7pxr)tecuZK*s|3*!?h#}
zWYZ$6->y4(EgOF2i@gvq@k3qOA$d6OHgo)W(axTK8&k>jBJf;YZi%r+0n|EmZ*mC`
zfJ>WEKeAgC=GR;v=^s~u8#e>Q#>xoLX7nuGzD*qV>su`|aH&8_Bzw!NXd*1S6kV(v
zkp#EI2s6Pqs*t?dNp*`QftlQCQY?=QI6gIfo_~%2f9@Uhe1p{CNdJLjmBz9V%>OG;
z3`k(#>cloJO9rz26{DpvIiQ)uaJo%(uvpaV&S0hh3p#U}?zKF43TH>|bs>Y$1##MI
z{F)GXtpE9ac17?`Nxr`*NdZE(kfo!Q7IZf0WR!X;fqcJG-uHG2Jn|yAh!knVC+uJI
zqjF_vI(TgO_z_L8^XRELuc!-ln(K*D>nadj{X*?(hbEkx@|NXo)&rr=$Z}_0HRx3=
zTjJ%`f`KC+Duz=Hps9CI?x8CI&fA@{InAd9g5Ri<{zr_!LyOk0#hnOcF@Ne_cWJ`E
zIwvU)OA{C^3gR)*B0=tZrnfQ9nh@5@$z>{!0pxfqcYY(mm#x=M1*sG`SJ0PzCJf;I
zj097dsX8dEoyp*c-}z&<nNJMvHUs-&biMJgIw<CHt2e}`Lxx(($T<coEPOmL^M<Mp
z2Z;eWkWPTziDiph1yq=vJ(r{Mg9O9>a&G7OsK5h>hc}vq&4DDlPwWMO1S+p<9v|De
zAHQZz!0}_|AZt7)C2CBBLyy)Tel3#){=J_=3o^|iF*nQq6yFZ7+vmjmdL+Q*>fYX6
zJH4+t)BJqTb5#&Hz0&AkBLu~{areh#&7r4bW4=OH1=uKs_rFT;!itBaytR!v+<$k$
zqAOPklnQE&EZMLCIW&#!!3GsTV^V!_Tmei1Ny%Bk+gRGroBc;`Q{mkJuNS+XJeZio
z=O?nwVn3}LB9kdQ91mfvpT8&z@1^6*#@V_s8cD4Sr(T;uj&XI1XO%QuQIXaiJK2t3
z%_ls-EzDr{q19COc?sA^&N85u{>9lu%4u9a?eK9p;b&WjC}>n9yJ%F+;Hw4O9~>P3
z{AJh+vNMH%?U-vGbNmASd^FPVWH|<Yztb<ujPXOjNB&I#j%D0!wON$$gDGUR+#_U#
z@PgW_75j6kE4cC3Me*!G6Uds`=Qi%k1w906=XbMJ{9fhF|6Vbfz{P>rUB7m-f#Bz(
z!!O)cao&OFu0@*0J3hBz^uECa)W&#=W!hETn^}NO+usO|d^vHz&YT`J%0z_Z+*a@l
zKSEOpcMak0nWy=eY-nIh<66@G^UFAYsq-0)Ap;0rGxmIDvyT0DZ*`tEc?tJw>-79d
zFaSy^&8Bbe62|?SZthpYBEH?{-S#n3ADHcUh9^Siu=ozmf{?@od|u_kt=u*}I9iF1
z7N$>PZwa-7ESdB85N*l8jH(`l9B%cJk{ZFTrxz{j)y&}^Mvbk`UDAcEbjFQ4Cx2sd
z#?Gy$=4Nq<wv6@aqz)Vjq>oVQ?#5m>_o<$?oyE_dQ%14}bilM&ctwGx9pl?QBmDZq
z48E_~Sqp!^)3eM$W$^&QN-_`CcKOcWe*SUe1-jbs)qksd!y^Ox9`MOGM|K9E_IS^q
z^H>Xb=r73~<g3E}@n2C7q@Te_bXh~ON?H(k<oQwST@5&!+s!xOEHn81^W{T&#hS3M
z_c{$Bt_>HWxhwaYJcCDjEIQ;X?)Y_tDTd+fSA3V+WeIBZ3@&Neb33P$0=8Kt4YC8>
zIG?CRru_H}ZhTIWmrIKRoo-Hl);ardnejgir7^SkwJ~&lw4Mxk-=gCWUmm~@OmUH1
zwde4JCUI#2dooBCRTl7G9K=(KNgW&9^Z59RMDG^T09VQ#LvqA0KF7N0Udg+FA2(k0
z)16QUzg+Vkuh74^eQ(3~lHnqLw)d!DwWK->aj#W$M~&ipO^d_tr7q!r%R?3XU3Pd!
zxBEcyjej`biGEiWjuo6;f=kCRg9uF)dsj)#6Zm7Lrl&t^SMf&riCN|E1b8bw<atJB
z8W$cRHo0W4<8qPK-9%Xe&}gN4CAZGtxg)~k>W?<@n$2Q8`(QQr5@qmpRDKTU?=y;e
zxU!8uP#QRy*Qg3<+9+)xV;;|IzqQYfN{e1($pot@s6uK1OTM_=BJMX=`PQJ64(a^3
zQy`zD0v(B$*djWXa62tFS4BMrl+<I!@?u6AUdg&S2t8cE1E$^ALM9l|-wGNDEgxmb
zTG)Hht#l1Po^WCEcMCJ>c*49e+N}gG%vSqpe{SIa_AA<_|6)Zg793!IPzge(xO)|0
z8<%t){=}lhf$q{QY|Q;qgw5HolO@wM$oxXM8l{8_HIo#DF9+@Ps2jU6Juf;G(C|B`
z>=_S=;8d2GVN(Q;QSrd-S$f2wsq1@Bn-67v!>L;33UDgxet6^~Ms)D*HkGNDABl?8
z72fhu0MjWf<LEVJRN8uy!2DPc9U><>zm!pcBQM32KHX(S{!w1!jr+pLD?pt;cv>FZ
zyu{y+{AEXvYorUTJ4KNZt5^$7yF3uP-#wuo=0b`_0{vDL3Dop3h)KFZ9`rBa?;BHj
zkmA3QJH!Slq|tMGh`vJ}YU5@P>|^6YmX&$UV@)#Xe*gdg|Njh^cR1C56vxf%y|>FX
zFW0@-p5JrL_!*IuRa7#HvKk24Em0&Dkun;{EbIFfiHe9MvdS)-Z2kOup3ig6=XuU~
zKkxVJ_@bUq<fbfm3Km@|E#kwPeNPBAS<7Ix+KFt;CU~H2`S#Q#KmcQiEya4~WU=oY
zz4G5m@lYyaDr@c{gl&KA&Qvau!<b$=jn7)jfw<4cr^2%$*n06O*W?WaY>A4HWd!75
zZW{YNULuC+Yu&3~h*!eaXZkWkL=`}@WrzR0m?ZY_aa`7|y97+xQ`wT@sR+iQwlc}i
z(wN-EEd8z5s+i_i6^8@MN+7Qho=UF4VTQiB*+XM$*yO(c|Kh$AK(F*=fErO2le4+d
z@6SZWIGagnQQ}1S(^LDps|=4t{ke6Oi=ToKuf-l8_as4^rf58esXR8Fat7t(Qpd)r
z_%PQQGN=>(rtSZsfEB#{ylgwGj;ZjvC&w461MWZkN97PD43khp#UE>6Uy59G(fgV(
z|MXWyA{_xM<KU2QkkZ6-vD}k<b=uIJDbW@Xp@R8Hjuan1qKOr*^%Nx2>%q0p!iNLD
zs$!yd^kYL1O>7-Lmi3=7fSB6ICM6m*?8D-Ic8!l3n8^B>-%cNmU@L3PmuX%N^AiwJ
z_Wi4l1qr=);(r@}V7~m|nH33}9lY4s*GR$YpX03_zM#VW@~vP}2nn+n#Gz7}WGsY(
z=4NrBF@y<-(b}9NVFKS03Qg;YSaX4uuTO*tl%JO4H83P$_rv##e0!pdd1T93ut=N2
zmQ4_GyGjjP*S_PSdq5uRb2X?`zGVs`oYw874~W=;dn^9o0uDR1V0B8e%@o4r?t3ay
zR58zsX$tw?V%Sj*-RYW6Q~3T<?<sd80UOJ4jAxGK!*nWpTc1BS1%DL>SEeE*j7`zK
zi>{d&drf<(A=J|p=+8y;coryN$)SuouWHv(Zhy%L-%S&+KcFbgmnw%v$8^jO`*)ze
z-41HiktSd@rE1&}EQ?L;D;KZMpFwu%@0&NS8iR;)Qh%T;4%3f}bk3jIM6}M4gQ~rZ
z;bYeQ@sK=8jH4?6QF=)ScRjsygSx3uq&6IOyiOGJGtdZ|y1EavsbjYyjj6yR|8L?Z
z``(>9zKH5KV*w9_<3G$R0np=tI)V@QFn)`N3FX3UKyu*ru~Y>hnhgt#o#w`3h(-SV
zn(WZw^T#~b34x}KoWTehHq4yXH^K2eJA95w475IG1T7X<>&lB6F}aMiPo!0LAWqv$
zhldzKvHS91#UKr~r7qFQKEw{|4GE(~=?1X$&g?HI#|CP9GcP^<0Xq~wvTPH3s}H<l
zGHK4#MKqf?VN1!F9UL1w&Tp^lLFB;T{ef#^XjQ8po54>uFlinRIj^e+r8~x=n*yEa
zq+qFsUlJR*J|<3MF}g5j^YiPd!W$$oHKqTe5gSBDE(j|0=s-!{IbM0^ex%jt*IEx7
z8|dJas@PO@Ac9nWdz(Cgyj<F6E%28WMi^P1OyAH3C&j8`kDccbec?q#FIqOB{K;cH
zxU2=Sp7FgiKbH{kusdEuBsO^Kc_(N7m==`WH@)Nd-(TeM_5J?c32ZR_eEfIV7fo=y
zZuV<AWCICUlEK&**&#_!LFKKLCU{JS7o_-aBTrvAkFLC6hiJj&kB?h5;1xrm)Gz8k
zq`s*#v@MDQuHrY?SgbXG$Fd@$dzS{*FPQU{Msk8f#j4<Zk2)m1`WgQH5FL=#sr22?
zxF8|K^|IRubwD`OA22<qhl#AD?bk8fKwFd}bZU(PV+pqfndup!d&|gV&4LF=%l-cm
zQz;POTE(J$d>=FxD$Y&I@j|WMow9Kf1+?#7k}m$l1a9W2kiP^U^mx4%{M1W^^XFVh
zcIGUwX34)4q{a_X@^zocv1E9d6q3;Xg%$kYQ8Z}X1%Sr3((RHK8ICRSWL1W;Lud4m
zwn~8@xGJ0t6Imp|;*VcbK@?8F^VP<1aS6l6e7xzSauN_yurj56++b~Y@o-bR2)vg6
zR96~Fg0ihAhNkp95cjA0ldXXm^cB^f<2p!!quHJ(czJn2I-J~=PA>s^)yI_|kV()$
z?iOLw;Db?8ppx+)N#H|;QXIud@bE{=&zpYykY1Vh=wP@sq+fp)bc}}tH{O>i3{(lg
zOPWq!yHp%7Pt{#!5FkOR)5XUuqC)V+Z24SCwG7DE<A+`;kU(@}$a6hS7;b;^t;w5}
zg;2%}yG<(+c;du13=~Ddag$T0hb#wLr(F6|qe-AX%6WmKM+{B`&J7_k@=&1q!`<Qo
z3Gy2nf6CpH092;1RQSi9uQ(6(Zzz$0?I)sL6f6aCiVt<O^_9SAGs-S0mkjU4iX@`S
zq~Xfz-)tKXlwt6M@mvjs0{i8zr}k9ffbU)}tJoR=3h(=7;)f}qTDsH6gUW!oQ^!D&
znJQ=%+@0GhPzT?0u2usbvhd_yh394@5!R1e&Hlcr0WwC1W(lKsFbk^+mCIBEYvThK
z22(Ua`}(sVmP>LlHS+4<BU2Kji*{t!m1uz;pWE`=9eFqrY!~03O9G8i&wisRZD3_A
zF%8{SfD@b7^8<%S@O)|h<|{2-NcPwKm_MfogLb+hlPe@BzkK~<f4bh@9xgGcwJL#i
zN`+A32nim~wll5l>cdLdjiT~6Wsozzer`021QDMyb~=3xp(?%g@R|exOcsS5%?Tt(
z4Y5%qv>U<1Q0RtcG6C31UzphOs==uL3FQ<nfJEo`>xrEN&@Jn>%nwn8zzHJb%rgKJ
z>t!-BN&rvOE`iBJ0))LAVd2xD!peNUx_$!zXjU)L<hm$<x&Lt`^#Uqz5?}L*c@x0L
zu}$ppt~`iw9-a!NHHQ8Ov6_Q}%8-@k&z+r!2eC3E4g;z&pqph>NxU)?mQd&lSY+UB
zfXja>r;OnNvLtT;N}zJi+0#Q!3fdYKns9-}ke4jm+p4Vyt+J<!?#GFOf^D72&WXJ~
z_-B*1cog8z_~V5qs)7&{uYeuj>;K+;W^}4Y4qSaX!dnb^;i@?Q=>T?P2<dIVPrQnU
z7CX;(rB^s$pyILlnN}*~`MzHF*OUeEl*_>_7nmSGSKH<OMJfbZ9m$j)!2y@1F!ND2
zI(Wver?)9Zg`K;&jO}D;=-_*#NVM8U==TT9s5b&6pRIoL>ZT-EY1pSn#jGML??<Vz
zM*%jhuhClwi38{0uk#mm7LXbKw~1lP2*?*!6WTEmAa7YuQzEAjjxVo7vJ??$?iZda
zP8Na=hI@WDyM7|h(-}9@j~YSN_w=ssu>x>|jaKlW{1B4xYoUMnt|1`kZ?>geKEMy_
zKQ#IE9T`X3Znl3hfT5fYhoos9i0@Fg&9&%59s~;y^zj<N14?+8tqV6ec1(HMb@w5k
ztCbJO9oC1}K0&o<6C9xHX;e@sJb;W{`%%W4s|Rj@g@<;$*nnlgX|A_+2)PuN78x_I
z3(8g1sY+@rP~}A=et12Ka5-q%%oyuJ-03S1)(n}zS3Aa}J#q}02=A*WKhS|2pU*Zi
zB{M>9nWp*0dy~iu{?&iTx;D@ve$**Z1{nI_{Y-pi1~KiuaBSUK8^kCqZ?#A0K-ey~
ziY<N)Y4?phWQb{jtvI%dey4@AymjqoaEr(zj5%RRSqqqM)g8G?PYccZY0)nH%ZNJ<
z!|qO|CUjPOa-Mdkfu~)ml76DA$Z0#m(tZw2u&T`H7b^dUv_B91x23*@OpnQ`VR0Iu
ze&o~NrQKcR3CkAw%JB_EC(-PvBaH@#%CoMh-`+(U(q+#cDBMCceJ|*2MybOYk0-6C
zeRdI#s@AKq%)7{zpwydZ^y=XL(!lEX<y}N2FhniDga!_`_PU?APJv#}b3^FoT_pTX
zCBE+tEtqZcMaT<LATwC4quBKyl2TWd@@I_>bhb*%xAMtwgG=L&5H}4R3@AH&D2M@W
zToQ>}&?7_IlahM%WEzMUf9m;{aUWa>@MaO|Cc(Bs$Wv}bTEO2A{y9_01UVXCCsNLm
zp!WD*v++S%5LjhXijQXj*ApHmBe+R$^^``YRw*4&e{wb3Tx5fs1BY+$ol%3F`jp3C
zAJGH)eiui7n*)@k*W1Q1A`FIl>>qr|0NJ$;Y4>`$K-ywfYFCN~M?ESHN(UI>)W~x_
zQ8^yiEUAlTy`~D^;sZMVDl<XGg1klgMPB&baPPq2KNT>(jywG@iy4e`(<Qbi`JnIL
zpk;833aGtNO8lhB3i?0a89xXWfU)dmtxaAPs6o`O&8@OQiOHYFcd~o>5O+xGD<go{
z%Ms(85e}e=KMHMI5e8<Lf%las2#_!lXHvY*1!2_pYeO@lU?a%!IaYxH(eqQKand}X
zOT608$1DN%3BwslGz5^m;HU0(lou9~XX{jLrQoesldaF9GKBg_pFCd82T%DmY>bDc
zVJ_m0h}w=axC+K6aH|TywVZS2(<(Bs)OVo9d9Qz?$a-EACJ4vHqVI0qk_Cfi-VX!8
z1i0Mqv6vq$49S^a1ACd|;Aqj$Pq<0K-u*|Oxo0j4E%qyyh3?41N;9sEJwXMWD%IZY
z(-Vh(y=^!jHASE!yXX8mqzXok7e2kWkp#8mj-S-;N+9EGA*tg=1U=!<%fTSMmrtq|
zUtT9b8#mu-b+#G|hCGz6^1;ECl@<mDP=&|P@*_Bv1eNqgDxBFeu%mUwqGXl`xKN?%
zBj?FLV>p*9IwT7P)6c4C%}DT~qw(&&D-@WI8tqS)lY{u}h$bNhGPvEiE?Zls4x<Dz
zRp*>M#Nsu|OJ0zn&7C%i#HtBIHS>RYuN5G?NN+n?ivppuO$Ut=v_PceeAlscMF>0e
zt%M<y0<l_=YFe^7z&I)Nb5cPW9$0H$07*c$zYP3HfuM$Bug!j4uy3%oA21>Sk6|p$
z_B#q3p*i2Z@kAf!9zNInPeTQme>r%cirLF;&O^m2=M6#L<rYq5@4kNTXNsHMCWB2+
zoXjOE0`7MlGRN<#f{((nFI<{ru++0AX+;1$zEy-@SyqKBNsg0zL=w!btl(wLsqp!R
zqy7zUBE*N|xepGh!cb!RkGpGBDCjF7DNd_`Sl6#F68i|?Tyy$M^EG4mFRmYcN2o&S
zE8@WUIR(geXi~niWenn32l`vvRbWC_I_gLz9-7t6Jsw$@Ky(pHl+OqO-iKGeVY!5Z
zyiAt!tY=LC-*92ItyURm5J#EKXW~Fecb<I^Yy!p3OMk0<_Hs|2(!bNqg0Nt0m{@nj
z1h%Kxf+QCez%Hll%A6+;yqYie7?UvpMc!q9*JJXqc>W;|QIiFlw+-fazZrx5pZCMr
z^>_&Ta8p`$nFb7w^>H|c8H3%X@HcM(S;)TcQuO!VGIIO0qLc@ZF}!1vx0gSQ1N_MD
zlL^gHL_+%IJGUGvRP3<vGd__5C|ND;sn14lBA#^h%2d!Kh1FkA6bH9EQM?RHL+EIK
z?6_Vzz~R3p8uh6nP{F+U+aPKhog_T4_@xgJ_a@(9u2m3%*Q5=+!WU49MLNqPHxNj8
zfQzS)`QhLE0h_$_B~;+e12(CABj{;aXfFB01HA!NtE!<ZsELoGtxby|45xF*Pib?(
zrc_~0pTa82>&52~KWhNu4Y6vs4cLI2%`=%ER#ETv^$j|41Lz-4H>P>Q1o^*=8tcYa
z(4g&i_VxDqFp@1p>*vb=5`?2K_4QWJ7wslW(aCzC&7Sw2Bas$FdYWz~A6Z6+ss%pm
zcIkp2q1RY)b_ZcUEK%X+w1ke#i?ED}>4JE)QbX*Xf2=L1(mpp`M90PKmp`7?0sOwX
zGoL(Gk=28E`V7(n`l8cU!@E%%l&oKvJ?~#c&b)NbWY|B4+BEsfd5CKRNi6AgO2RCn
zI4Gg-Wc>$iD3XHH5nAw;d9!m!d<u!Y@m}=A#TnFR(K*3%R1?sZWJ5R4U&xn=*k^p*
zQ>bsIv{}g>XZ_u8nsoQ_5b`qrqd<+vBx>y^d^z;B2G9l#L|K@8LuR%Lm?~r^Q0m<S
zIB#VQIN$Vj1i#RU98ygQUJxHg6W+30JLjka>1x*g^7k!>8Q(2#ck3~<VK^c}PE;Kp
zJuI6XXQ)BuoK%>RSHIBD?Rk@h85A&}cuSo+my1-ogFu+oFEm1CX{1S*0+D$;p9{a-
zN4s?^c3TC1?OA%9t8*3^Iu<5mu=ENvOKWxC4F50m8s$fftsEJ8E$D8GKETk9d;2pQ
zO@5(v29rM5N=e{STxa{_ObaU4@=rSS@h|kY(TkQ<BNFT$JzAVU_z|_2^qq_%jiK-M
z5$><%sKG8yBr!j(6P<SAl53hBLpwv)_pyE;LPQ5$tQbQ#Iw(=`?soq;ib*h^q}x!1
zx1GQjbnz=%7421ru1%na4#&NyQB{S@sv}p~|9nG765G3S%%{*`Zhd1O9~J1l`&jUi
zPd{p2wUR5^HjNVaZf;H#5P(syRLE`Z2WqE&$FtzdZ`6Y*V<0uF42(JYWfHl=Xn2Rv
z^wHp1H1c4(YL2!t+)Iy3FxMVMt0H*={^ic2pIt`Q91@j4)qv6}Tk#Y1AKA&-VqQcO
zv{*&)KNMk(<YaZ_zcKWDzr(!t$t6@us=1F|OA&6+-(Kydoj{js#Ef2!FQXsW9a|>S
z6yWQ@lf54XCQ$~SRuY=BiZ=1wI@7W)59jhP{h$s_qd_s{*GzraQ18$_iN~Ju;9B|P
z$vMtHXjx2&SxWE*nw9On8ueKYbS!aEe*)*wtoFw*!z;GXA$%owfUz7H>GhmBnz(?v
zZ^}dml6TR>W0IV4HF&T+`8}&@brJo3YnRsWA`Q0S;XOR2jo;%H+rPIGm(lg@@4K?w
zv=}1zjkd8yc8^0li#zvpdx-g!qHG~O=9Obfb~cfP^(*7V2DvrVH~Sym!DvQol)I~h
z_KOT?w}d4y>2IJ8Gr?k7SDCP8y`v!SEdx)Tqcl3>w@{O3VNcQbEEv6P;JPin45-|`
zBv{L~i)NqiLY%4WSnKf#UiktXJdM8eILwy@>-Qz<O>S{w9i`qYkq2>5ba4)mUZlnJ
zKBj7q?{Z^~1wQwVvf#kcW$i#@4n5{__LTN~J})-?k&?&wK^k6u^?sfa&WH_&w&31e
z;>U)0B%HVJO2Y-+)ad2}CT!A%^{sfgAm$$Rszy3U8t&{4KPzit!OS;W9Yjimv6gDh
z-70r!s8bUDdK}oX28z4|Dk6p@nwZ^)aFYf!+)5U=!HG2n#Yyp^5?EUOq3HTRX>b~w
z`KZ6ejUk!!R|4#%F}AC({m<k|!^Pvzmf0ThVyr)mS@g$n*eO++M*Rh8$PLk(_~FNo
z*)RTjr<o~>Rb;V-R-eFuc==zEP)|WD{hoU!YoHvKe&N!v8=VYr{B!g>5ig9<)^Ys3
za#{iF^hsuY*)0Q>#P3O+eWI9MVZ;nRQ3=yH=%b@CA`5+S`leKO2~5WHlEX)gfX%3-
z3`COUfMUB5kjEm8NtGAO^YIa}hU&n`#V&aWK5TZE<1!B8A3o4Mrbog~HPrE+|D*`t
z#u>WqFv((n>K>ha6hOv0?%a7YM<75YlXhTTJ|0VMx@pt*kb(^s1zWpqszRCQ&gt7u
z^4P4}KV|P)bu6lxEZ_Tx1Z^kMYYy`$VqWjHvRdmku*R_bdfsRXICj~YQa>wU<DF9D
z*6Es9Ust^hHA@33{5uK%B@nQMh2m$0WG&3MZf<;jNeki=nG$uBRk7faNqM>$EsQg&
z(Q)d6F6fX0g1TQ2G5HI*R`KVxu$~|~+IR^AKs2&nNA0R%E+@k}{phqXN&5o3?9WE<
zs`!RWS|SO%{QI$$x}+v{HvF7iQ4N3}6UQ<(Ny0kR^ERKgsbj2(-CW)qRG5e<j4>1;
zW2CZ?MiK`F>$RNtL@Q_lqo#9u&O&6&JO*cTb6E{*Q_hfEp*Mx|u8iwl!z8Tt)Xv~h
zI|62V+$*^KjVT0t2)nNwOu}wk6ih{U%VX|Oj@h_U%-}n{=q2YOHLP$*=y}rx9Hu@i
zZYS$+24#=*y%hP0SdCme{nG#u?4I+99Dx8cNaRW2{jI5jeM;E9z@E>IbxcT(XBe1)
z`-8FjTT;pxyM^wIN)as<Ygl-Y^wSg;#6~?_#}u$WziD^J$r03hV$KEcYYKJSHkfmo
z9M)1$oOikYH^MzNT4Fn30`CJ0oo^ws*b_sXSl{P=2xrozZF{N-@cy_Fs<$kS9s8MP
z)H|{d{0dK55g!}Fk!!bGeg{in;<b3M2~l>?O`LaAqTkCua_#Zwv_&vulV7!*gL`>F
zi{5g<n+mtR^>o+_1hBZbZ~9Oz9ylocpI_e>fCVe=w-HG^7&T0*J9i&1h*-!<5X=Cq
zLVH#IAnaJ;6i@YX7%yynm^B!TL}1S1c}6bdKJ0g;%9ia5UhuzG7;YJB1gZ8U=a8c`
zSjhA(b=4AHu=Z1T-`L~#<QulbvWb7u<@+2sgEU@v#XxJb@Y(=E@9{DAmCT^((xjSh
zA6{^NJ~_cUr4Q@(Q(u?(_Mn4AW!>}Iyg)lSco8S74-Hl)+UE@4BJ*m^BG$}%^`Izy
z312<f$LudF@NpDrv^rd$Hp&D2DUm!3Z*<}5zF@T%&u5XDx|mw#Rvt(xRvOyj(S_S?
z<!OV&6-0r%=8P)J17h13-W>|ofxPVGq)EmNr0t$S>isqzP?f(!f9Z!dM10*bVL!Wr
z5WYRXsXomE%d-9PE7sa@ZHcYudIJrtn~RJelG@|GZYH*%W-Z7_678wap@S}7eDv-a
zUKn~NU{PtT1(i7o?aHSZU~MFsH2H-WRO3_~Gv8~%Tivn!`hxr5&A;1uS@wKzbjvz}
z^PncYt9z7PTg?Q2QrVl+rujh8@~NW8xCW?wnjM}vzyjtG(k|o&{4nZS(D?bX1{9>&
z3<OQG!r63}q%WrgV0Ro*c9qZor)O@452M+kqju?GueBhI&d-SaZBmCdpYPHX94DNP
zyP5RRMhO0Ndq>U&ssnql?d6<yE;zH(qZH#S3?IKV3gs%O1FLjL_;xcl{66<z<ZzA%
zoGQ>d95+sZGlo-L+b?+F8g2QD-DOd@t$ppZ)C&rT+KuHW<?QWyrm30xgg9tYw>-Eb
zD3G#MaF&$I2ek6<wj}2yV8pIVgWZV&995EaZl(NSuKiVNJxvNUC0EOb^(dhI{Q1fM
zJ_~@yp3H7Mmxd^GXyGhj?>*<pBi4U{(ED;3|1lE>mz}h@Y7{9T!BX))5QIU`e7*Wo
znhZE;PV;_Ir$8@#Wu{P?2oz?7>&4xdg{G&d&4>*J&?Qo<*`_EE&jx4tJ;MW!%i5Co
zMGDNN#kNcbiNj+R+joSwav(uGYTi~(0h>X#A2B-;;M+Ckt~M+WwbI$2<>=Jm^ds&%
zj!Y?-s6#ACy9&^C_~iP@lj@Mo9m&78=SyIsnxZ781P)C0H!=s*fhaoP{QEKviWQvv
z_LG%?<eFBW<D&tBv?r(gkIH~oPFT@|9sxuhA&-e&6QbRx4u3M1g*=t8kW{h?lxQ3;
z{PRu|4E#$P>=p39@{#M2G^Z-WO+FPJO4kD1m5KBi7CBJa$J6<<RTX51pDtF1X+z1^
zm+d>_a!^9_Yaewc!lZfWa%_+eM4y%9UVbeP3Cy_D@P-J=HGwBR!gQhZ%7lq#qylJX
zgg-1DCW5RaJ0)n37lN$~BM*}m!E;nbc)NuN*7@H)PZsGz{4jTAPy1fI)YUrOj|lr%
z4qNiPHvrZFb_=SV5`27K{tdVHANu5Ir<7qs$n+pA#=cSliv9lBKf@~U?YpF7&L1Oi
zyUu~|E-JwzODQ3hN&*0{7d2=S0W`@_m%yeBT8M%<m#s3Sm^z&Qa1ubx>)J8aT_u<d
zJDV9-zBj-3npjB-z>k<rS&lX(c)G?q+^`@I;+Y!9@Iq9`Q1sAhIimy%`;rb_;gy36
zULu<h9jTCFd2wxPMiJ0XN7?=Ive2N&Ie9RW3Qvq!2U5)yp_EkR;H`^;^Q8<zHfdDg
zJ|amv7OMcGvj5qfFO>xN>G0Dug9-<`kM*uSl?Utn7mw43iGf$MV`gd+74mMzwwx)K
z1OJ3wnx-ZpP^-CPxa~`YQ{%S_SzqDdw)r84*lK<lRLNOOH>3jNz)LCdC$jLtrtnDU
zE)Tr9q~&&tkqYmH^(hspGQhxStfQpM1ujm`2L+k|{%+c2#YW;llr)qUf@g!BjLXBC
z;Q$jH0cJG;(y*1ws9f}h3CcBJgzsTHOzeJFn*JyWN>{s`Y~~ptDfK08qXL13Q*RW!
zJH#QqFy3<KH63V6NrhOjA)xrCtFv}m6l~qk$30`F1*z}GULTGc!QyVK%PpJ;c(KNp
znmzi5-0f3|JNU{FdM~=lM_v>HN3s6F>fIgWP#(`=I|f6T`^z@1y&wRLakcFn{5y!#
z*+UaOM+|_j#<wK*DnGn`>FPG|ZW}pb=Ve@3q7VNA009606qk26mH!*ZZO7g#%H9X(
zaP0Bij;+YZ7D`G{iHu6f9z}#ADN-a#k%n|W*{S%FLiPxi>^*;e|325}damnvKKK28
zy<Z_G4?C_I^S~C{lctRAEzJJM>~s>7F1QOBpm}j_FuRwfZ(Y2NxlwPWd_1WGK?K|U
zK2a_>ZDD-f?Bx#jcw?osv{@S(f}KTP>vKYI^dm<T92Eq`S=<Q6YeQ6rgLdH(J9rG@
z>(2C1f!S`ho=27zlrL^hm6x!=anU+8LK`)FXTQnmPoo8aRo?0CnXHh@m=I($Km!%2
zyGu1enh@;mlVMWL0y4Y|m2nJo;90Bq!t1vNG~DnZ`7pD<xkKrP{LJZLd-UvCe{T)A
zEJ+_*mdXsDl2ZJS6*7Q^Udq#j5p@`R{OeacFav%nLNSOJ2d|e>2AF)*;SPrlQ^Nsf
zc*hfV2)oY&gw>c2U#3am*&f*0Aj1qhzq7K&j97pRe>KVN5()Ul#Ohs~m_fY8A>|J(
z8#MLYml|Lu!8$?I!TC8eWa;v&>yEI)$)eA;Q3Yz?e%PUCT!{tdv|M!Q&vSyP;Gg+$
zeKn~4IsGD_lLf3ePQN=D!3CiVVm^FBs=%-qdGTEyD{$4Nsq#PI2Dj>C9CzYXVdMwa
z)pDH;3LT<TE`R5N)WK+mV<c55FWt?XEM$lL#42?LF+R9C=`h_lMTD`jTGzrM4oH-}
zHLZM&A67?#mg0(t5D6c52Mai%yo-zK#D)Oi?1H%FP7y(SCFF*nFBkOvG`~%ALkOI4
zB>1RCgzW@F1vVpYV9DOFGSd+TYt`l9H#j0(lkM<wRpS9i=a-RswEMx{C4=t8BmvS2
zhCdf+^Ma&=W<t@_0VtXoN_fygfVofKY||Y1K!(Jcdp=kU8cdm*^O^}TO1kA=k<1TM
zZ~qOA$BM%wE+qeFD*;@XeMIAa2*A?DsUwF9CBVwJ+2L6~0WKDu(>|sn1TpqUlD~hE
z1Rc?ROG!Hf=o!AA=w7`KUf1f5Dbh*<d*O!LI*|zGT=!q-S&G1nTB?$(kqj8r4*T5=
zBf`DXFY#{6`+-%0s9TmS3yNhJS)hvu9n8LSN!6lIB2GV__FWFPa(iE}nySLf_vzEC
zjbb2gGo=zHssP7G4y!xus^FlMiVJ=#4phl$xW?m(kUw+yuU3#61lmQ9FIGx`3(ZR3
zt2=mDjs9g_N+3at7&V7<r6inmzpdu?RtdZa0g)eY>hNqB%aE#)0$k|lt(_WWNbY?&
zrL?IIu6jymFH}myc^zfkyKEK6wmrK1g+UX<x-#xfm&w4TiBq1{q6ApbJhkX9uLac;
zMK?z8%7O{rS7X(I0F!V<+Q(BHidE8XieHg~oKT~6uhRtJ>tB8)T%-eemm<!In#jWk
zc^Tg6z4O|f&b=q+b;0q%{VL@pd6?!GR<95wKm_Yp_BN&u3HY~Zb<qlNvuuL)rk4sR
zC6AAlB^W@9sNJpFzY0*_uu*2DqYUSoJbxn!1}&p9c8v;(urvM4>S#S492-|w8_xp-
zNmV?^&{Kpik&%K%Iz_m_uQ?hq3y`JI=%_BL2r>8M?CDwLfp0|fcAlFdsCaxHCU+_T
zwR7p#rC&18{E#jt>4hP@9`)z??Wh1JyL&I`Kazs-_gPL=vxZO-A|g5ZTplE+&ufmm
zNr2*?AhrTNGPE&PG9Da}gXmmi27`TKFcPDvHz-Mln>$Wo$L3_gimJLdc2F47x}~{B
zg~?#nY38RgCIdxH;;}c{1mJB7-_P&6hM??x`wj_7gG|7O79jy%h_ybj>fC7vH20WP
zSyH9INr8XCu7MNU+6#UgWgEf^9f#w>_L9KcCfM8lh6U=9J;MX74Iy-V;j$Z_1Ryc}
zfO5nDcTU{!%h?8?NA1<(KgA$AyU%AdhX&Z|UmD3j1{lPN*RvlIg-&_GO8fa8?0!hp
zioPX)(nGe)*Xts{;2%1U@vdVpZp6E(c4MFr`RTEF{XPh2h)OfxT*CS|KloS(U_gDY
zkIAZB5M-jm;v%=_G2vpNqf3qkaHgYhd;T3icxQR0DNW5{B`jB7_TAQp&nxVb#2H>_
zedet^aPc3uDeyRi)TalzC9}ReW;~$qVzWodV;ZBgr*Z8T*8{$U>!u+sT=2WUT&~7<
z8q4O@NOkbng@Z=<KbZD%Fed%mGv;IeuqEjeZ<%X!pw&n{$vT)FTvguPi4dN}&S=!s
zDzfW9qf?e=js0F8nl~|TzMaFk&0mCc`e=iPJ;`M)m>KStv;Mg!vw$^yyH>|grv+b&
z^SYdRa9~<n<fPQHh{afqnKVjh0oN>JG)pKW$W!BgE@dramK*tQbcvcEG?poDX3YS%
zx#@40C#_;mk?lFJ=QW_Qck-v3D?MDqT^CTizm5S*mwBhB23Uu?62IQ2gAvNBNRF;e
zENRS5(4tcvw1i$~c+t`Uy}qecqU;Xl-CKH?$3h(vyRV;<%cTXzS90r2R#fn@_<o6E
z0|`QI(mzXap#}cCNvtK=)S!ln)^8e-U?P3p(h{SE^2eHVQ}Z-%$gS{`X|o!fJ~mYv
zX+aAL6+NV@UUX2bD>CYESPdjDcAGy8p@mC7&o_sR(}Ngf&3x%og=U*#vBXANNGwk(
zBt<d8wZc}?M}Ji~vXG(arcMW|Ts?O@G??J{L;CZFX;fjl)hTgr5g~Oc*J*%>1=dBK
z|I5oG0*d+;ryfEN&3<Q-y0%#%Y^GDYN0$hUq5emV&GzP1Z$9T99|zzspDflLCIH5_
z&|<002r*tk`o~H+LD2NyPqt(NIFQX1xUF!|yv{#xWrz!cg9{H9X%oOkAfuoxh6$7}
zxZY&O^MDOa7^QVk1tg*wR4)uNgU*$bb@~im7%mI@o#mtgRWf1QD;|6E5O#UYpNAhz
zPL5q@9aM%6l1eNGBRdS<k3XXOQUH3#*-C4Il_6iiC79B~0gA6u(>(%&AZ)a*c4faZ
ze7}x0?EA|JA3PtbJUT24Hmn=0mc2?Ks=VMfM8yqS_Rlm*ZTCZZ8CTtxCrV(--<;5=
z%mW8{CW!AsMIryquEj*U670Itap;Edf;jnKsPl*zu<xIgbjaL$PuRtkeLZ~O^v1&e
zl#m2GQOwpSRVhIkOIN`q2LZS}eDD58Z%H_NYd_jvQi408TC)<ff^d>s!RIzb3VNMy
zeM)jw21Xi=`?nwM1GB@swtk8-kX;Zd$oN|s4k_ULX2V1vhlY1}vPc##c_qmGEmDE<
z%0Dizd=J1wt*<N<a`I45>*e8RL4XRMheAWzVqp5arAq0g0(_CMs(#f+fad=4k6Q=D
zf!ogG&@o*+SUuFVPe>s`WmS=m=xGUXOwT*}=DiXW<33*f?5YY*wse<S(j;NZr`&uI
zuL3d|3WIZ&YS4a-F}mrU6qJTmW~KuHathu&Dsd-4>`Q;fsHr_3TU$t-`auBN{1mmk
zG<7&&Zr2yfBMUM`gMAXVMEEh3!hT>>1O9H^snFMugCjk^4f384!El*;cF;x($`Wxp
zn58_7yz3cl=-Hb;mm>D(KeS<;{iRuexdOayJZz-4_dNMh`^t&EoXPMr5VMe1gw%`S
z9~ugYFd>|GaT2Ew4vs<j_+N^!u~9)VRVRYLFHwt21qP5&l3vz*5f9&2KOALABS3Ve
z(&}EFf?M7t%tIY`NS&+6etAL#R5qP96F&o#T_klWui~L$gD}Qzp#(&~a4xxXhH$i@
zR4sf24;N&&Ri5-IK(UOb@!F~(P=_TP&Pl@qM?u|8JW&oNLp0dse8})C>GAP=8a%LP
zbLEsCmj)$@1Nc^wLApF{U|3%fOt=NEttCi6M-Q_T+b9__=fou6nkoQ8l-H1FpePW|
zshLtOkU{0}2*0S5JVgBJ&pyJx5BODgO=5qM!9-u+jN+gy+_w7(I{W#cxY(*{kU|FY
z+smZXt1=L%k!Uub&k0k)^o{eeWT=mEu4HDBhMxHQj{@zP;PNir{-0W8=t;LJquaap
z?;^z?1><R8-}sxfyF-SMT;k>+%OwGcb!Fm5i`KDQqt;)?!VO_xywFp*J7N&=+=2MV
zb`BdW^~)INF@!^X?|p3S4?ueQlCbZ8BN)vU@&>sWfb{gw8_P^#_(I+--MaA!)0RHs
zBA^WrD?0X+b3+jHgt_Z3KdGR+o27p-mxaNzzTYp-C-FlF-(j)u{QptJt;i#S?+xIl
z>8-)DCcI$X{<DSkM>pln>`1fjgg(epdiZasa0AbD{Mi+JKV>;BdDWdyA08die8geS
z2}d{i=LoF>6!Su;<F?cTtGhB~K_YBGdtKzvXX62iuvu?JQLHWmWqxlEre+57syz3{
zB7GDxTim=vqYfN4%0Er5!w4cT(+dV`x+zB2Yo)HR=s>X0TUzTnIuOOh<a`eMMp-NL
z^oe!S20e+ld9N~QK-<)rDW33^lK)FukNJrf=y1HOuY5`ccl9H)JMPy}+$Y(vZ@Zc>
zmpdO2O1p#E-TEm{HhM<sd_NWW$W0Tdqs>>|No-<Nvhnyq#(b>n=Q#t5_ZsjeI=;28
zbPZECSt&j5`~fq)s^y(5t^upsj+EEwD_H+R+mpcTR;=DlPeD6H9rCqi4+Xa^VV#@_
z!q3+_F|y`{xxzXL95lYQ<Tx*4Q@K99I(a=<H{V#3h93#)rp_g%$}M2#q2F)DY7Sz{
z<+bIyBWf_-<k_2~IgdS%D4~BcIfAV_Nj?>FQv=T#Nx$onb66@Wv%2tV9Gm{gTv^ql
z3N}4=cB)rqG4I+I-q%T!82j9O*`kXo*fO5`H-Bgr8|O(rK63gGrpU2KK!ZeZ37gO)
zZOmX}DN*<xw||&jg_{$@p1*un9e<;{HiOaeHy0mKo5Q&LzTB-^Ab{t3%Q8KA7W?7J
z9~RLvkL|n{@2a^*fD5BIi`s9q*uO51QR54XnE5AVT@GFX^!6*gv3Hom;Q0vkQ{pmK
z;jwhU!hVlC<L+z8qjMM~=h@sG+bY&rqj+N~Rv9vz3l8Jc=driWMlN@l*D;N`Yh{aj
zc{%u3%+Tf70yf|6v~~u+iFrkYDEMyTLC!trR*C&0#!_YRE;?)*Ycpdzdl2y8Lx|Cn
zJiUay6^fR(U)seuxRV;6rYM3;VPq2d;WBoam$1}pM-BbET~h@E3J{?3FLIW46?<$M
zvlje`22yMT-`Z&?K>t0b6EQc|u>B^{#U97#pw#l@h50Ob$jhg4_(a~o3bU_<YaL(!
z^#?inbz5>!zAe#5CA)>y|E|H$)8c?p{g~%|KRIYK**Y|$zk^lW#cee3GlTKVu<5`N
zS?F70nrt(n0;7@^qLCXb1c^pi9QKlh#3a)9i^<eb_TRFD?GJVk8E%X4nv#L1tVdiT
zW@+GqNS0W36DL^TBBg|1mVrc%>YJZK>7bj#QMr=L4Y>w6KT8B;fFrzv6fMI5eqSeg
z14emZUQ-1p`B56AKew>5?=r%&Sf=b~2_Jmh>F4qblZG|fv3^l{X3+k-|AcCe0DS8X
z7CDSbgMUtmaH$?EG&v+{W>*Wr+Qh@3YXZ_hzxFBo=M#1ytCV)C(}{q_%gnSbI%zO$
zJDr+P!U+_<?gQ*`2jJyB{MFM;(y%OJJ9=E08y0$82xIrepeEzlp*}fj2)8vT`}mv(
zuGlmc>hAUT*z<?(r<{@o?JNE%J*W5}RM}!t<%uMCsV|*8-YN|VqMm1}O#~qS^XK?F
z7il=QRy<1MBm-tzC$C5y6oT%s{0w0kS;+Wh%GJ5Y#sAJ|9SpxD49&7Rv<9qu9yG2e
zyuc_2ogbO@2X^cSk0Y%E<v2yau|CMd>+boR37P7&yco1}D;;OzR|31h#LfCw3b12u
zdQ>1n94dE}NIC!Kb%cP6L=+w-%Bcele@Q@S_5qH$2L$;35dX@pP#MNFp8I&aOTqD!
zfmD$qBDhoYRJ~6pz!jm*Kr|!`H%F+Z4&7FTq<l9eV>(qp7Rqr-XJlc5Z|2^?05#Ck
zd+Pt{i5g6?d}N$hk^|_nzvU}Qg2GzSnc66Ih^1h0!J!Hu$Xk`U^pFJH8dr_E<1~Tn
zwr`?tQV|}9V=J7$NN~ZpXXfiOZ4gSfxM!)O1i}wS#=rk0!Q~dslN<}WU@H1ECgZp=
z%=%Qgez-yc{>x5v+Xe<;>@pD0x3{mg9y+Vab!y-cWPX-l2=I$S-$F-Cfa{4;pT3o=
zf@cxEcYwVipnZX6PDBDENwzjd8x!GYZtKr;2g$(BX8(*ylK=r`rg9ZhD!}c@LADb$
z0;-mQTP&Oen14QSve{M<A}^Z$v2Hd3ONSq|@4{4ou=m}wI<oMAB~Cxaz!*B;cHs2F
zmEoqRc_@WV5~>uq@=nJX!`qMTk?&NMAoH9-&d}fekiof#Z@p~{3n9{D7mF2v%P9Dx
zwJJYc_Ex3Wj53DjucXQKlkz~zdv@r74Lg(-V$51b#-OP`y|hLx2dZsiGyW6Q@JLl)
z#CggHvJ(^PoakiWaaMEPu=GDn(N&7xJk$t&FrU4nx+Muz?+a*>O<E}L!!(^`SILlJ
z4<8OMivu6ms7ZwSJViLzy;k@f8A=pm9t$msg5&qAfn<{{%8B|B1ECQ^X!^7~cS&3X
z=)BiE&s)==2ddQvhxY!b<KN9=zSjg{PUdC{(-C@9b--tx_Y*+Xzl(Zf`}n}KCamO$
zFC$WO`>q*62B6{Q;C{Wp1<SRse)_)0p-Q$7S*+0*bT@XWv+%RSLowqDx^N~GR{!{2
zWU>LcsZ7t@X~qFAO4Vof3lmy7t&6*wuMc<BdAb``XkjcMU~sFA34I8?rH^X$pg)@L
z{cYV{O!Twlv%owi)X&0e^L|nn^y;m|{LidnReu+l9#}FVpG4{(6k%QX@J{gIi0>R$
z$r*J%=?@Og{T}XNbJ2m8O^IGvi*Za!?(oITBpiCk{pbC^d~I+Y4!~Vj=)_iQPd}AY
z#i6)csIY2U3o52k&4-unQAC&Ilwq0?vAzq`Z#C3{0~3V!@UCx^4Sc}huUbYF?cV;l
z^qwYs?zQfy+a96l7CIyqJY__QMx0I)yBfgzBUU!!;BQLjP=dm@H;jlZ_=i*6R|A9+
zm;}}rW+{z}Vw}5^jA$jw%9itoIwZ?W#HQgEDOKOR>sfVisJLPL!KFP9wKCox7(2X7
zsrglY<8mbqEkyjKCf1RlHI%9H$Bi{gf26l%f*lh&sveam03^65l|9BRvPt<kvqg7A
zh#56B9j)0{uLd{c<B!&7ZBq(7^vZW|EU58atC-qBHAwVIFYu$GLQ5YiR;ndfk#$@3
zs}p;CFA0M)>e|%k?Ug{2wo`2A&@gYthcl``R-nPf2GO9quU<IU_p&3U&`a)admfq)
zV{^vs6)g&C9}$w)=R{Wt61&Il6M_3{{d^J)J(@ffcd$g73vG>Ry<i{{fn;|_q|$={
z@%>QDij?I>25;8vum2$c{gRS|%U4EZlaW-^XT*anZ*EAM<`CeF+HLYL+r7C-GtOoR
z=SAwS43r#e0x)W|r97KuMiI<`TOJ*JXjYmgf|`W@?>`5B-Fd=_fG+y7jfnt~w-z%z
zkgoz}iNuq9vFu3W;?gCHUO}Yw*F14RLj}ycZ9d)tPQ)>ScP>xehi00+NnIn#psB=A
ztZc`Hh$Yq*btgrTrAJ^|_XA~+kzsr96UL3gG)!^1#}6Ry2V&XuA<A$h(^0;viU$?G
zahJJlD2ArpsZM<MRt8HUovy1mK16DBU1mKYj<#sc3jg>kgM3GeG+i)1%3DaMbl;Ic
zC$sTFS2LBN6;#BWHU&_}g_n-lkR&RIcPB0nD8nDZc_nh55W*Dei}q<qBMWM)b|EVj
zU{6XABsmMCpxsoh8+T<;D30^m<}Vd!?{Ro9uCgD6`5HP5u*#tryBiSTNPzoKPvgDC
zMA3!N-f`1-d8GO2f<5=Qz1*zYhfK1>5aVE7?^hZ{bfrdvgWhk?^DfEJ=06fgYf-a8
zyy1BC=$gV`T`^VojyE#COp!nc>X)?sD53s{>3rKIRmhlp@czQEB(nM~XwYh;g4{hu
zwC$$UK=ZY+(ouS8B>Pn?ZOVXvmb<^ZUD+bRe|CBDrV27he7t^<rip;ub2B2ARW!h*
z<~-(UDU0wmS9Wp<MAUKf@?1)kCa6^%a$@q5L!q;dObekzL>-~5>;Fd!n!0b+|2ZL#
z6jttB%*Z05)v4u2Yo~OeG-IGy*iHd8$-H&zi6J7vF4a>t^SU505&raym?ApMyG%+p
zAfjPU6O<644=r4aDb+2C=yj|1%=vl(nt+H~owOKS{JUf8Zj48)1{M(=+yun(A^{|H
z0c^g+td!lrque;lnFLQ|^qjUez~C3a<KKSwy&mAve~bMMo`6Th&FqY|%Z5;`v?#uI
z36C0T$u=y#@@P`%2K?Id&8=Wl?p+}~A}6-}Fg1`xjR|P6-I)xxOcPk7q7{)NTcO}?
zycGHrsv)|1mkdXE9U3I66;PX=M$EZZanx31sCM8Z8Lk+oCq>uDqtVK&$!xs?=uJg`
zz{O8wxSivxqM9RzZd6V3XDA4vq1`KKPOr(3?e%?u-ANX8<Ik}w?d@0PLnW5o8)Vq}
zGHL6xEsbiY%-niSIMHmw3nfuoGMpTl%(;{)g*MggjV{SBA>4rvDd}`%5TkyRE+Hj}
z&Ui^RY5qrpN_>O9v6dOaMS&`(@Jex%#1a+2%eYA~TJT(&vowUE9!vXI=3?jvn}kW#
z@de6vg)%+4ae$Z*k-*80{RnZDC8=;uQWg&m_w2h2@HMTp^FBcs^*l_|3FPjjG!$RC
zP{9sh5K+-kTPcV<&Dd^g@z+z5*Ei2sn_^&mzUobyCqIfRomYvvm5Ci%`Om>7&;WM+
z${T&u;6-P01@n_nAgoe@KB}-lAD+A$qt4agMl;s`La4tqWBt6p4(ET@1En^4(D&m+
z8>x@~QnR#ThZBF_>}1yi+>dVYuW4*ZC1K{@oMsEQ8`lsUZ>0+|8d2=zd}j2Zp6jlT
zK|SVMz4)>{T?cXl6*6bH8Bs!7(}9VPuQ8SC&E~>BZAc%NRK-f^k-yQs)UCxVOis#0
zdRRdlwDlEhRP$-kalY2iqUFyhi<0-p+#|JsSx_+|uZtReGhDYA*{GwGa_2Dq?$HF`
z_ii|7PKBQJhXL1Q8zqs;{*Jw-CY&DZFz}e#rerteG^F4APEoe~A$K-c171`MbM`;p
zq@d@MQBA-5C_}cl4>Hkc!0554t1ETulzGk$h7U3$l(^4Tmb+)wfz>!XicDIg#2s<{
zF>`F3QrExct1w7{%(wCzJc}!o?Xo$evyUe!sgp(hr|n3v?{(|zxV2@<^)Jjs@s&T6
zcOMQue$c80yLWgxt{5y+e7i$!<B!ZxPI->IzB1kGeJ+**1(YR9wr3ZaI5tO7u27##
zZ&C%<!8F~Ip-YsovOn%kB@2|XO35rqOI28F61=c@Y>5KJ{jA3#mMAr9FYdZ_5W(NI
z_pDs_5`~q@sI~so3dPG_KTN@$2vGdb{bv0VB`KG6mihD=C4bSdCuxs6G1m@VbJbX;
zVB#J!#qk>y{sH^Wz;FUMJD-cP`?gFus<bcNt#OMY6(&y{<08PDM0C72XNB^|DtF63
zVV5G^R`~j@g9`W<=!6d?ty07X{`=xNK!x<L{;c_ustikECyow1T%-6k8ao{^pg|0G
zEo24SmEirOu7TdEb&5g7?J?dOT6A_rV(a~$2SnU?Y-I1cN%?YKCTP}?9s!la^*J9r
zyfqexwB6XEfIvmAKOZA93%UAx>AfO&ISTo>ecqw?#ku`wzkx&hM#8(qL=>T3)W%!S
zmkK$auyT3M#Dbox(CduGD1d8qSx!zoH8MJ2=ihF|hPp3YajjdD2O$Y!#^*X3WVt*;
zbLcGxGH^4hJab+i7<EtP?h~a$(F@BC(L^p(E|Sq)y5|Yj0$yQU`Sj@f&@_ep(H_U|
zwM|6C$$`lq@55KgjOf(B5tc1&UUaHDhFwrn4uq_)-u35TLQ4y>aXgEBXd-if=2x36
z;O;q7@O!=FjMRBPrEdZ#(^TR`Ua~AiQz>3DA+RCFe0-ePfDocn)flmGmW3b{Kko}E
z90<QJI;?_61Vz7Sl5pPZ?~-OO)IYIvq5GU9o3ob=pq!ZcngTUh==fR}U=z%Zc8~rY
zH%$~nZnvIDM3~7!)UZ{J#U>9j{Xl>2=s$7fSyQO>-z8b_4VdD%U&x2%ukBEu^xxwc
zyVW*#yDV%rlp^l40w{o3ma4VKvG75g_Tz`-fQ7$VK*C)JJ-a1(eXLpriA}o&My<-h
zQ{!tvLjl5wSaiMnOr#u=dQDH$`a>SBjo?G-p6*AhA|{)c-4xLE?#FMX<`tl^kUK+z
zK@7Dk7dmsB;!(gh$aYxa;b1}V%a`Wj=zjnJ0RR6Cmv=msZy3hyz2`B)F^_%Du`=KL
zSWzL_qe7993MJ!5L}`#@rc#Q?&M1|<Z=#~C%<Qa?>@EEKd;f8Np69u*=f1A5MWw%x
z^g$KO+qy<eazz<Z-roH1>!BpJF5#>y#z({kM97;Qe^lYBEjr`3BZVngH7w)kN!T?n
z#?~XEBv5bbe>&+SgW;ayQ^J3fu+Mf<N&j6WLnzUaA%8#?GmGDFu`VZL<u|6IdY9B-
zc(T#=xfKB`s-CIwbWy{kM&*yGJkx-C*=2kV@8z-WciXQDdepEQFBQ`-VOsDgx1q30
zKoP?aat4fwsAD+}#-*c|wPE9ueD|t@61F%lSbX<@I<~ggdC~2bF8G`KSCs`RW9GWH
z%eYQ8tV*Vksy0s_v_yygl%G_=3SAmK`E=AUgJn*Q8yEu5hpnSUI8?En!AGT@mSpUo
zfQi!c5r9;Y4-QTtsu*v~^-gYn5+?Q5EIjHP1&oTF4cXIFF@)<>^_+?-#`NUeo2_(1
z2;xb2(dwa!ef*a<pZ-M=yY@R*|DAymylr`huO3vvwv$Mmm>>b0G1{Z9dS?Wu^&MX%
zFsoo(PU%#YrqY;X_QB*A%*OC)_WO&JStZQ*%KdEba0!ej;2uR<$rv0MIn`<JDPsAK
z;s$xIgs`%l5Av2W#&D_tC#1F~j|oj}wVJK*V4zOruD)dij+vy$3R40`p5#&D`pJy3
zh@=AlD<hyGkaAsvWU=a4(PN!OyQujYoAigrj6f;>?pAb?H1_V7@gmwhjXurJ!s`wj
z0*4tQXImtRh4`F#oJ)C+Bv}1pukkPh-cpN{&}IoNMI-I@`L{F3QFe*Gjp6<GQSs2J
z+B|?oA5C=d_gF(#=M?C^I#VF^kzFz=S{M^cb&uhd*g=YZ$gnbW17w{zSbRiB5PMuF
zrWvzI1txew=L#EuvGw?ZAq74R%RfSh$fN;YmhmOc0t9B<Rs$65xiN10bZwqTwBXQC
zbA7wY0CMPEvl7GDv6S5)a+V|=L_73Ed4AIenV8LNGRlO}Z~K;bThPI)qg09MGkSoV
z;>CFe(_xw?oD4BdIv|ys$~f}s!4<m5xigtm*tH+|OO7kFKnXa1Ov^+Us0^hx4a~OC
zZ~3f8n$u~);*w|6%d0vd&2f`-LU0A8Ngd`^Ql*9SwsB`g>a^j!R4><}<X`lKEPGRI
z0}TX~g^q2pYQwm-RWx#B4E=RIUC8e=4aD}F^kA+BfoOP8i^A50UioxT(w~zCYD3el
zmMgU2@Yda@*%?*nn#_-r;VsngFYSn|9Jdy*()!p|t9?Y~tEGeubEx5#|J(JwAWe9h
zQjqSd(uMq_uzO!lriL|LBTLl*4Y;c{&&qyi1gZE|x5$-64Jls6=Yz~OKsGw((Awn*
z<oOXfmV^ds_-HG@l=fa7;vVajoYkE{`Zz=)Sy*Y{`k9h#U$Q!6CLg{}Up$A{swPGT
zU!Z}q3gtts#cE*7lg5AI!XmO}A~u@0OasrDtCaJV)nJxWVaY#W84)9W?g`GI1;2WW
zN29OE5Y17=rR2Ga{3<@Z*Lso;Uh@RB1nQ7MzN}sQ;_-DvKHRqY(;<48dR;)W{X&9_
zC4x&lY$BI68f@;{G647-io4}Vg1EokmpnALkp!JLud8k_0?TJ_qXTn9&_B<!9;UN{
zJgV~QnHpw-i1nZHk~fJkP)F1kw%J2g{&c%5d$2%CzP&=FED@a26oM2!Q9(+%RB0<G
z8$>!x>@Fp%LYVP0KkmQO;6BqX<nxCe2DY>1&Bj%rpjgHEpaLzB{=1Vpvd#(7tl^g@
z4OHMR*QwU@2s*f=dM`&^lpC5X8eRQzlp*#wT^MPG9zr`#okSdY;IZ_fopgR>ct2<`
z#2>^6y8#+IbFX;eX*yS-eX<g$Kd~<K7GZ`r&I@k(iu^$G33mA?wqF-}cINaX3#^;3
zb!vSU06P7UMZ#M}=nzQTwCiDm8TYxq<yaip4*fcJ;EW<{DvCAcEOJ0PqWbBok1zxi
z2y?-BMKG`6t#p6H1<PW@#pcVRa0~t6b81-uw07DG_<OlwE<QBiL7^DfUhw+lI-mgZ
zhr1eIDDy&l^)Wg84GExSxZUMEtN@&TX-l<Pe6T1nyJ+<t5BGAI@+$WfK&Q4+_>YnR
zxTg5LJWY^-fZ()ZU5X;SIQ&-c=1)P$Q_oWveIO0zj>pC5<|_i#1e#fpD+Di^ovvn!
z%ffU<cHb3kB^aqh&+I0NK%C68>6ABeU@^&Fi{Da$FIRrgKFvA+J*=nh+&?J~->qwW
zv3X_q5y;WE*dz|;rRObqxfCH%MU%oTp$aRz%!CpaJh*O&$1F4`L9a~zuVZFJFu#*=
zDPCU^I#1^a$b_iCNV5Rtv=j;c9zdK{!=>PM(BV1@4kDBewmSGok-=CC_xNv}G<f~Y
zkH6hPgx^UwG&;=HfbgN8J(5EfXk|(Ek7G$tUiXt@Jxv{I(nC@oI>|xq4&~7$Au`0B
z3g;|f)&%3vNim{X1aPirQuMk-hJ5G9>pfXoFnrH${9~s)Jn1s*c=?SCQNL`rrLDCg
zsrqoQ%c=s*)yc-v^pat(80&eB(}f&@PZGzvA_$Yt6ei@6K`RDk760hLuDG?|yEY||
zkv=1wt3ig`N~hQ3?+qY5de}EMR2h7?x`ryEND%r87i(<*fO=hNyF9H7lT9jTyKfVr
zlh%3~;iN#pIqM8bVHFsP;i%B7RDokEzoYIoQsA$>LIH(Q1tRa9c7MO12)hn)Q#5A{
z0d4W+kSJA#1kT!(@o@qyKi#SRIcf;KkzLdSJj!smmaWUGL<Wl6H&je@jNs*J0L=+a
zC1|$(En4X(37kA{dQ#6B0lfsR1ha%9n2P#8cDW=5ve)KiMZ=B2CM%D_s8=3-ShO7P
z_Qb)}m)2$@-bP^gv97+}n*e$abrGr^JaBM&@~7l}|HVUf3xE4%!8m;S<^2*?_~H_7
z+PQ29GAHlwiR#I~>n+95aB5oM99?PRd1wgVX9inDlcm6pE1O=>VjW2r(k;N$4S_Ml
zzWLKM9`2MA8~<8PBI0pgFLW9xkbXFJ=fxojczQ>L(c;K!B;u+tN%a^7ZpGYj{pWcA
zo@sL_l#KSGe00bDOX>yiIyb$9xC_Ivk5yrnv%k^zm9h-kZu@oAvYl{K5Jt?j$2de6
z(EBlYo!cD<wC^a?`VI2|iJa&yKEH%kmL|Wu@y7t<Vp;Ple0U%_?lCT}bOk+oF|XT{
z*#K@DIz8Nw;{vxteYJ(ORrH9WeF3$KK8zeS(<)G7gZDpQJZ|n@MU&{ft5}@%V02eh
zt00^S>eJK0G9Rp>3U{fC&nD;s--+u;h!j2GM!4*r)2yP+;2t*nMF$e)Z9ZL-p#jdn
zXHR}pSwSy9+nupu)&V7h(kG1TyGSs5!YvDpW%L4vftAj_ZW&vL(sT5;kSZY+mRQ0P
zs#7CoZS~|J%xs+3H|AbL+;+3u^92@Bk-HH@^<^zMM7!APdu9n4p0)9aV_86jRDI4Q
zAJu}QqwZ{UwsXjCW%BuhxH;5tNb$T_p(b1pVrmyEoI+}fjOZzbvuH_cUD#a?O<+Wl
zKc>7MLztN>WauBxpfA_OO>=@ZfUTQcBlmF#DNQYv&5)Z$^9)v#<i^xtd^BUaOTGu0
zHZgoLKl2;iv?@6}X`>D<`5zgNTx&z9yMy`yCMVJG9n`$?s~Yr0&8n|hHy~>lWW9Zb
zC(%@GA73Ae8VDyb`jU665ROnISDzab=&@2*`SpPeQ|i)AjP?o0uBdNzqWlDEl;-Wb
zqfZ9hkdU8fz)SRodh5S$G!y98RJ>%?M-s3KzFsbmd5`)OjhnG@PoRIl(01jUk)Wj3
z&lI~>k9t<nTc5O<K))#TnbYm>A^GPFpX}<IP|6U!hhXCb`kzk<_X9T~1W=B>Bp+)-
zZTQxleg#aTW(7Wl&qh`E|EC_-A=-f+|5;w!Zt)v!t*P=Ov8Y1QjSLmh&Mve#804;;
zm_n_Kde2mAsQ^op#b?@Uy(ryUCg()<G<u>k--ORk8RW>WQ%_0#Xxpwbb*<<h)N(cX
zoOF&7TpREecK$nv9(qaa&}*ATr^9hOO{0nsGe&E5`_u@^KFpb`kItcoPOUNhmEHHL
zP)m7Y?=Q64H!J>m@B;cYZ?HM=q5|Bct9pFQa}4$VRVIG8bP+Xkv|=_x<>BZUdgCGM
z1S+muUeC$4jE<i4@pR>thd{Bd^!C<CRCI0Wc2D98S{Uv_lXH#$Oh?k2yI)VCdCG#O
zi~4J*{>}s*_e~ClxaOnl8)i^CT(=8ecmq{c#BIG%k%RD<7bmu<|Dsvp529ZZwov?K
z!rNQvvXFA2$W|j@9^JlsEb#dGe`u3}Y28D5S@0lm&VOTDL|1N}dl<a1i|TO45E(*c
zz*ynKp|PkX^lJI;&l`PISoFW$;@L%MpdIZ$5RO|x-)e{6b9JY|yn;5%qAp4U<+7xG
zRL?3}D!v-(%|(Y9I?b!mtxCbk7qt<3b?a!JxoKwgA9_q+k)5Xbsubk685z0_ZlXg(
zeB`HfMr_uV=Cv8O6lms7N^q$BLk)fFozH8tVEUd>cc}{`LBZ&v+{D{mG$2^Yi03sM
z*49`^$vG?urw`lLU;jjf@w(*IUk&2Kj(2A7GOXYs(fsUjQA-*uOz_pto-Q|5^U?SR
zDGv|k-CzElq@u$Hgg0jh6Fk^LkIPGMPds#2@dzCnqQ}b1^?$cj^I^$eJxW?cJQ&aL
zJe8Pb#7>O88n1aLfMH?xD<YZk(8J-mcT0r@(~)ps=$OM{L@(|CZY)c{@vZveiv?`h
zHLZjKdM6Q#V>rfwV^IP)n(xRndvao568>FQ-#LJZT*O~GO^=5QsaGsVNZeTF(NdnM
z3liAL39F7P>Ua><dN$9~&4W#w4X1sklEf5ZV~%fK!^7|Q1Hoh2eAveHPpym!DNIE=
z-0H#_9;|}HpY5d!V1KP1SVY~F!R&JLzni8?LcE%q*Uxu2%vj=;nbcJ|j7mqoZq`c*
z(nWGrLfAww#fWz`W2y2OYn&#rB}f`NJB3Yj?;gO4Y<WTh8x^r16e)`%4KiTf_{-Hq
zLIOKox7BLSr-BWweGZHFl!J4R`_Jkm;j!$J-d<KMBKEd9a8&7(JV?dqzj%m~!irim
z|0Q~oum|Sr)`c~SP#xiA+g~A#eJdTa?@S<L_x6gtlHydrgNwU(<)kcDi{Fm>oU4X?
zIDePr*%%SZgAO;~`3TtAA=#^3+3J}2AMLgplnh>)sUIGGlgIwtp6NRppn*kDUvVV$
zsKX~--|s=;ir7@4%S<MNCYHL|vg#nC1?Q${Led45F~SezX2CH{%$}aLY2>LkJic!5
zllQ&~_TzHj;vvw)cpg|#>FDZ#WuH}Te!nWV`ygY%x={o3_vR?MHDUk@5_iI!0*Tn+
zhwtY4$JMcRHHl{Z8UVp~W@U0K5xZVMdz~*?4O_ZuN~T$%fLAZci+`7h(T;xV4j3R|
zS)W-(saT8vKS!~;wME3l`Z}I?K3Bz@T@PZ4OGYrSar|pw9TCHGI_d85DPk@Dt>MAX
zjbYK&V$#!|i2YmXReWk9i!nLqj?CdqpnOU9_TeB^tmS&<Z;cChtl2?hMCrH*WRe3<
zW{oLhX6fOp0(XV54Yu$UdK(kK?rL4V&!&WlQH9*)T;#&u1b2=-ku(7(F~wSreIAdm
zZngkXK(4>fxJiSJ8$bD~(qs&uCg1*k^j!|K1!(~-iwU$Y@Ic=a8)I-&;5Z_BLk8<L
zoUQLDoJ8oiUx`G1H3Iu^$(aTnDeSh-#2G`j9mK}=fu9m-KNlr-Tu4}#z*<|j**DJ7
zgX-mu@`w~eD9N7adX;bh+X&)h#vZdkAoqgNqjd_LkeMs`=O%=W8n<rIp5TCsdjZyj
zlN9hfu=Qswh#w0hC}{g%;R2QKNA@l?0rYJ6D@!$VV?{TMoQ{}tgSg+Nvu*kSNt#X)
zOT%o~#iT|VZHyZ(<s$v}0}#OR-kmLf%Yd=8b*b2_aKn45qn^FN27uF8TbGrl#=3L|
zwcl@YL&!zpZ{xT1;ktWJNCIgC&8;ai9v|Tb1z(!AmLfd}Zob~&t2>8&AJH<Te!~sN
z!(!56`*p!>nmSu(v>$Ec;^V)1gB#ZRA`j2<@ALRFr(gd{3bINmYz%kchNritI=7s4
zK;cKTm+qB*q`7P_UyaBOxH38p^rbe0Gucc&yE2WieSE&*#?K93*=3^7QfmXxJ;JjR
z+9l+J>=!hFg&UaZk~WRp4}$N`sGC*O8q!>}YUIen4HtPip4WfXf{~9dxG<@0M3PW(
zuTX^>9vWJWUD474y-|6y3j7|Taq8~9zi!-Mr>0-VSgZ-5&)Tlw{HP%$`<bS60XMjO
zt{&Eu*Mv_^X_Nj0T8Ol^;N@lI0WF-$`=LS&=r8`LuiQolq@0ke$76Zm`ESv^S#=Fa
zm3fuL?ZdFoEvFsb1$cq-pSz<+y*jL2U|loYWQ6l9mjuc`@&Xype%jhu9WIE}>|MRV
zyuZ)31}kpx0lvyyc4$ovzU8UhnB!-KLBBStUQd1y%3!85$W()cc?$V-5gXXr+8Cvr
z5`ad%2VB+0YViFh$4N^|4xr2P<M+5E2vYam>vPx0VAyJX@!K9JxPRGedzXWQVY2r|
zP}zQ-Nmr7$9pwU!%H2h-MIorQ$QQ{8B!fxf<`IoHZZJOWjsNT<0+|yp?lkY`AG_E)
z8-#B>uyjGH>%g!mctl97X7P|AvM-~iu#*>>|HP{)MT<dg)#!uaMG~wiey!%4;{(6$
z?einz5@0cP+VbK63A`+ef|GCpfPbs=OqLxFG40|jM><GwC6XK>ZYKyYg!F{R7$qU^
z0liFI4+$b<-6%2p=Vpjz&<9Q_h&vZwW;sKG7TK6*dW^!b^}525PEs1$)^V4|*~q{m
z>?jZtAp-ST6u)o-86XfAnKOY5!E}Elb{G!8&D1%MQy#KVVb7KM^#&QfP{%b0Jr@JL
zYh9!0Z8>mFOfqU1+3yqVRB1wx0EQNV(w_<f)D_^Y+pW|fsQmpzIRhSUmUKls|CERS
z`q*peyVQVdfhzmIKX{P(Sx?B_=RXH+{B!L9b%<aHo*n3v+|Mb2D-kqGfU=_B$D}o&
zs+Mgu1(O1r6I>hUh7x$QTwY$E*8ri#zg!cA($K)fi6piuLw2_O)sO9(Fw0mncsp4J
z{Mv1J??<Zu{c5OB?Y_<p`nad-gJj`0RR@hJttzx;=o&`;I0#p>lVjb?<REyj+a$n3
z6%5SIdENe_4OGV!X4}~a@bURO!(vBO*qhWNo#51k=t_q}jx_|hW@$Q0Ev^c#Q`ZLk
z59+~?znZ1;ad{|B+cAxOqyqi2C-2$0=|f>X^Y7Y5dEjhlcskLl45vT+PT`C)fRFZb
z*7ITt5K(jY?9jXYdkN!Pj^9II%OUW)y`=&$4&A!s=Aj6UeFWY;V}O(X*WIG*6rk!3
z^+a@wJgD;JJTk2Spn5p0B%-DO*FwcMgjx2_HGB1&5f=pvPhF4{{w)s_Ujy3%lCp3~
zCW$cTM1f+HD{CJD<zb@u!18NpX|PjyJIIkpf#;$%&*ORtFfHra=^`NsYL$}oM@lKc
z#P+j^Pm};O=H=>Lk`jPKP7MjYr$AAy>%VD=954=EP@1?X3U7<IuD`6Hz}(f01)`NK
z7)se@jCSMT4BNESn@kF%(cDQ7FqZ*R{Gy+E96zjuD)zVqQee+Dw&JL!G_=gF5<kTA
zfNx{G_qrYh3Y!Rt`XW-0bt*7KyN?sJ!n&I}{{iG}td)4};KA*B1WwA972G?8^K~i#
z5>&-v{eDTnd*9~~PhuFsncv4>#}lB7XM46JO&oH#hO^sG(LwQr);BM>0dl<K(j_Af
zz_`%izvKaGIMVQSSST2Qvn!>_<>4YQkehp+xpNQckxt9>Z7_fUoABXBX+j{p`t}Ix
z@;~HuM{toPuK|1*u{pHaCI}6}k3$<*w~+tdgeiNt>jSgR=in|S0r<{AojLVk6Is2?
zsXJV@uamZ2E|)?+xK;U@*-Uj439fZ=E~U|f(iQ5om7~0HF*G4Pow$jN=XdsoJLrN3
zUD?L~ZXR%zTEags+(e{5xVqGo>OhZESc3cp7tF=Qu$@iVLVjni!zWf9SV)Uo!clQS
z`G?r?orY~B@!6x+FMisPG!U`8ZN&k<rbez^GTTAs=#y;bS`WgxOXbUh18i{OFE4E(
z%N|me|K^hA!GrLoAVg>2IV)t}i^UsVqk`n%E1VlSTA(G9HMo?`0#vt0s@yZEA#EUN
zXpLVBqA$i>SM6kmK*qKwEe$mAhR~#IcSjR&8#+}DTFk%{fB8#1GadNf;?okN*Mu_r
zj3Z)AOrU)5KLO{{^pI7prFJSt18zoN-5kBi1iX%Yd#N1^;3#0IA<v)zpF`uF83LJr
z{H{zy(S->Z2H5HEC#XZaz|$j*F-(v>&s`M0%?vl)RJE&w)Peg$6@6_D6GSa~yg&Au
z6}W<TC{+b&ut(|iZxmsM+V8%;-xAm%I)XE%2GoFVi+xq{DKqrmKQr$T%LxX|@^QQU
zWKgG_v#>E|fy>QJeaBk3KwfCc;q8B9=t{mOM;2s-jE8+YpJurstG%8|ONtDrn=|tm
zGaF<UM~E?t^FmL-7Nxb71RiE=4()h$P}+Xq{K|_DOkXL6OkX2G#q!j-!c!c83(Z%z
zZ{UYR=6=<?dL)<{pLpe3&k2Jfx4q-_1VLomM*Pt(5hfR;$uap{VE(WA!(cNGHe=L|
zdVVEB(cN=r!(;aSD8J<L+c07HkLa{5@Q?_<MegXg2JwJQK_vGXV^Q$^+4%C-6(aDF
z{QN0lyx=h>6g8?S2HB&pB`Qx6VQKsDcv?CiB<lFfFW@AANe$i<TN6Pxl=pu8cYZJ{
z5#};e#Dmse1YOyFy)Q6sut`V|bX?YR>yAnS`<uVng8Q8A&s1R9eH8~ENhgke`cDeJ
zi%&(KjwHg9W|zHxyFy^9QT0UWoisGknBvJLM3_Iw?Y|Enpf0g`-jG%nqQ(mu^%jZH
z+Zg4cYjyxw8Q#_0w3CArVL{!)<|H^*c5j@PTO9J@v$?X13D9d|xGPsp0^=VkujoP~
zpk~3+guti(C(imr+(pQ+X8CjNN&p_#aJteNu8QEG-+qPp7a5}MZ~Rpck_4wrflyMO
z63|@ur_lLW4OG>%MVZ5;;Dt(E`O1(oc+cPUED2VJTP2rY$=r|z_wJY8Wm_t6xLUBN
zz)u4Ndo&bzlVl(uoA$f%f+~D9KHR<@t_ekaGlZgj&Nk~_wx&1}fhjA*xFA;xj2=a&
zNv7^|dB23hp)4ZE$PHY+GjR~OG#$NoVhK?G#`k7>EfI9u@OkT+IxzkqEFtHlJk*A`
zHYmIy0?osV)g8&YP>ZzHe%kjDVY>yh@)#m?c3(2eS<wR<-D{p6wF<EPl*jIv<o=v$
za^}AuGk`PU?(bW)6k*%ByRJe;6)MNg7`Czy&~<n{#c@LsOofKlb4!$=RhI8*k1qgm
zvL#qAR}sob`?;v56k*UV?9BQqz~hPJn$G)*@aVIiSICe&d}uO(rE?S*5XzogwonB0
zZv1WeXL8{GD0Hg!I|bC3?*#_-D8Osnw}i7MGVt@?nGQc*Lr5}cYZ)dfz?^yPQI~#6
zs3;!<Z7_t8k=Kqc?((qs!=oxSSOO;6%}yuV7{Ua#aH5sp{=9#+e8{j81+c5}nzuBB
zob}foID0wJJjZ$a+om9#$v11duWkqjFU+eyBgjJ4ee%-|Dn9VkmnT>;8iHx=^ft|m
zG{n&C=#&L=!Q(>x2E8T<#HbF@%4SPJ((J3Z_Qfm^mUi*te^C?&_x>OeZ7T^i*})5E
zUFjhW{i4gDOaYqItgplS-2d<8pDpTHD&P<_J{9)^;9fA=c`aTX1g3UXNsqS>`_bMZ
z%OHU9V%dmfkptk?&}X$bwu1DBy?kf7??-n>g7HybgrT>*IArPC0ur^dF80?20oM4O
zLA6vI@YfzPiF`bRSW$#VaH$5spSR^Ma#H|8u-=>u?MZ}xkJ02ut3JFFC7iT*#s>ze
z)3<-$8bgxV8bn;!^&y$gQM7-Y2R;N=z0xrmMIvaTo+Mi8K}}5X=`U8?Q08cUxl~~k
zQ5TmJ+TGU`o9Lx)6Z`w8ufCpEoMsGJ$h^V2J*Wd(h6s(F7CUrBC3(|68b{1>MvGo4
z>42KCO@00{3v9UAwbQguB1snY1H>q8&^TOmQfiF}oE1eLnnX_{&v#E#UG6;y$K0AS
zs&p7Zp^?m5o;-^@ZXPkapm7i^zuR#tf1rnIeTQ_3)p;cD_LC`=bS>yCI^pOPN(YI*
z4N986Eh3RY7UjepO(5S$W|8-!1<%jf4xg%*k^cbz0RR6Cmv=nXZxqMvy{^6Yxc0m@
z-(wXLnN5_RN~KMuh%z!tDIr3cMWrE0y7wT;D3KABY%)R$A%6GY^E$8ddY<Q;^ZC4=
zzgmNdjr)zkb%OUjEtv_-IhYGFsecF=Dkm#;QJ}2*OHy1vBPe??3G;kiB(9#aI>_iu
z0UMzMy~e(b@RQeKhYo3(;FBEKd%ng9*l^&)AR{AGeWjUM`L7a*D;L8wt&Bi$qjlk8
zGXsQWv7`mRTO;<mP5LmtHiXGH_Yc{<WPq*)=edDm2H@teHu?vKux7pddhRU)=<IWd
zj#_1esp>o}g+>EdimuDQyubjrwbc3`kQq*-Dm@DEHh`0dlY^J-7@<G4)9ls&3w(Na
zf{%4nAFct*?sH{~5X4{J2dCK}V%HYS(X;vxTkND<Y{~>qZ_*1i$s7<cs+wactPez!
z0Q<r3Ofb8Cof@~u3H9d_<w;NVK+y2H15*Jr{9WqttQhBpwyNXj9(d_NT*{?A|KeES
z&DL~3&vjn7YCd)#Vo4W-Cu+`95?FzoF*GMtP5?5F+-;Nc&;`n&j@KVb*<dvBwyJ~=
z2^O9<SN2utKy{1uQKMOQaPL<*=u{{Or_-I@-%!&5p^=-jBHK8j$Ay;f$S({h|BCO^
zFVqH2uD+Ro5iUqC6A5uh6M>M;(~V#Cv|(EeQMn<L2kQ8EpB%Ro1HBL3=5x(jux=16
zq8P>p&Dx)*7nmi0z2-TxpV5L22A$hBwgR9ksMs|6QxYzJcFI~e)&f4wz7tpcNszyB
z!-UGZG;}<_uF1}=1re;)Y~42np`;F6wiwGn*;mSX!Gb329uL`ZVN?j(-`UnQHOWIR
zzeOmnYQk%K(U>6*5itD4bElq95d>nEweHJn!J4#rl<8MdxW*vow!BXXcHJ`-lHR8U
z7EKp#CPs@xVMWL`YP&KF_KF^|Z_@&$pG85poFqZRM&tF9Evg_F9ek%^pEd+PkzIVL
zBMoNip}EO@YVhkJCr^N;4rH{Q`&ecm3sqtBKYpE2hrVrpR8A@DLc<zl6B_d1TMz$K
zq%`4SImTpZ>OsDqJ4ibzK!oFMy*{cI@I1FZ>^H0jw?2x$_X|;k`e&m~JiBz@+p7JK
z7OFn*xv6^A-d6&i|Jr^$AJ>I#?D4;zR2u-pWCLoCD#H~eqlnN4df+DE|4QJyArO#s
z{FaI;gzY_e^n{x}q`8m8eNdr*{`Z98)c`dxelJp0)~OH4s)qXBSB*isOI5%*gABBc
zM>aAh22jTJyvan|6ig>>915qZ1Dh<xzT%JpBnGZoj#Zg~-l0E<HSaYb)w04uG1vgI
z9-n<5f7AjZuN=yzz1D;ZcG8oR1_qG6>1`LImK9{Vm;6|c)q;&RVw>lx^g-}QouAXN
zHE{pPxalLS4fpEzk2kaELjkci8|?t#^Fmd-I8qy`e#AEC2<kyUL(e$DX#?MA=1(>j
zXhYoTnezsn+HiC3DXF8v2I|W<Naw_BgWPGIfzw)=aBbKb?mOB-PceJjIZbW2<?C3o
z#f}UE?a%tts%(MX(m~TXSqtI|z6j}3R3Og(-;f2D9aQt}U|T8Igs;vqR6AKk;EJ-*
zmN&5ja(C57YM}-M)HrM-)B7xYvaTl6)((bJ?;0irsY7{5<ky)q;xOmgB^Rq}2MoT3
zLNRP)a8Yz>2saXf?`PdC-!s|)`{7s4I}=pFT)W|(&oU28Um*^!ytW0VrRBw!%gRu(
z7}9<fSs?6HK_e~578X3mBWwOsg2yS@REO9VqVT)mKq{LpJU)9Z;6aN5TrlTx{M$D}
z*d%48oX@g><U%Lj6iaz9_|9Lax~rE658bkLM8gL1qZC5oPsqSEzn*%fQ^mAF@4(fB
z7XWJ)$y}w$lF%MRypEFZq4B)X^G~t^=zHV3f#?te26X|Y*4$y*_u9?>&D<d%=wzEu
z^F|SPKe(&@fyxApjU@lGfocs?PjgSsObSB$Y}}nQ8PhcGyk7&%gH}*m9s8!dMgT0$
zUq@oV42?01?0SaV3Usz#ds>mg3+IkB^W_iB&|3eU{gq&03C@R}zH?yUg7+C=<As4U
zw9guZiRTFmFy=NnCDzOaO(sTiUOGQ%U))?5tINzm9f$wOOfy4T%SC3-&?y>sF?Vaq
zyczT@vO8w&W`wMu$PZ8UPSCbX$1EmUnL)2;v-el)HR4CBd(|ezahku-{kMKsOkpsJ
zy(VYFGSSlUAw{uageDMcJybnt0#uJ0d#08J;-vkl4S9QqXycZF%R8-1Ao=R_>5<xb
zBA}{$Up@Z-jpI5;`@(Hwpw!O?m&?r&Je`|ebaKAY63aIzyD}O>TUyOwv9f8x{`m1@
zD&9S`_=4?q<bxF0NRGIA8-Eb~iLoYiE}b-A#dn)LyN$qnM^yKoJ)^{n;_;D%_%_<%
zZ%vuGjz(bT85({rYKUlU+%Hrj+(Oe+;L;kV``W1N6ZL$)0Yc>H_pJWxdRm1CEo8;m
z5O`Vz#JpC&5u4Z~rW9OgG}T3Zr@ChbP&02B*%;eP+)5zD`fMnt&8ZlBNE;b|_}h+L
z)q-x~Vyn4*u}T5$t>WMGA20MlifyX<ihU<>=Tl+E;=ce|M0%Kv0HF_o>45=Pd_EB|
zq^OjQiFb(IQd3t?HR{2>K0US{&20n^d(CW7?qkBUQJa-@s~&VPefHm*@sSvONd4A&
zy^`3T*K*aVRTqZS9~Ef+*Gg129gd+&BjNpe-ZyGN2d;blc(7CE1JV1re3-Snj!+1W
zTa8iD0m*<q;|E*b6JpPHd{BvfON_BU%+~eMhIc9LN4V!&h?UMlrZ<MoM1<7y<?Zx6
zS9f{5O8wnJcyM`hddz$v;Lu(3@6DQUee?TYs$TC2H4(!pfq*uG_Nc8ti%%15s%0DF
zIX@7j6W8Vl|4)P#%c<JKJ{n+qj9qk4pp`HW8LSEl?IfbLrx}g%)giRr-E+Y3BXP^^
zhx3<`ZX)J>B7f^|GED0Kc$dc3MqK;DdqRw@mr%&KSth@U41xT4$B?0&80%=v>c8@p
zNI8_l%2T8UIVr)F`bwXO6RWF}9!}qhVapqZp{!~!;9Taj>u3j&Ec&BoRc?S7@3$|t
zJD>_{3rX`XW1YmF3y!7p)q_OHcHbV~HWerz`W{|#rJHb_3kVpC941O;WNRK;sX*Zh
zCvWB69^%NBMgOaZM~Q%gMZaYqDT8hykJt8-Ux-m#-xU6&ae`UvyF;#`GVC^YKP&O-
z8xbSOYsS$xLG(-w3d?0Fft}<(D@lcZA~F9LLviplaUe?dNs5>fc+cLr;C^X<a7rfA
zzRJ!Lz6*ESrqdOnGJos-RG}ean+*Bh?gw*3siu&+j<h1&?z{K(Y2z@l-XO=w`rkYu
zKUFX7QJ?_I@_Da+KO7}~e%l(nd*dHM;&gnWpPm9-{Ai-6Qa?^4kF9!N@>?XHSw#l=
zqddIn4J79ZPZC#+H~*1%^p|*T8NRsROCESq_PgxLn<kD%n*@1Ut`e4&r;Igw<e>9R
zfbK=}S>g$njz|cs6W>3G?@$z!120qY>+6kk#K!rizn8=r;oMxRt&*24G^%*F*G110
zXYc1)eEP%$U+(FVsJSwbEcYvAckmzLnsrQRI+caa3F&bU{z!xCbbaS&{30>xSTD8o
zjSbS@-y?nTkp{;Z(#o&Czl2g2)h*M66P^_%_n&+t1qtFW^<Rdp60#L%EXvxrVV;e{
ze~OTT>YP<0LHBi{s-U>+?^8bTzBia7(kuzy^P!V<R*Vqf(5ZW1P5?~B+|2cYB%ztd
z$6s%a3EJAf_1`EL1eU*U?ktj$U@2f^=KYfeF2v=0u_zXXo8S1|*M=lup)}k;UWgs?
zLxzO=--|-_%z0DyCJ88FsFxi(&IzS$U-#*2OMsx$Ax61&2_W5kc6_e@4@``@gs(J8
z!K=g#4~iKjA=CEtx$@t9kb6k-B;$Qqc*6NpIC8fn<g_S}as)}hZqc_GI3^DzZ+b);
z7bRitOG1iEhamWi;GL3OMesFqJa)ES3XG1?lB#NjAvU-)_RD$tTqX?LWc`zdM+&nQ
zDg&b6FfTn`AFB#g=g-*3#>>Jv<pgS?fdmAa-{Dp$C&T93gnpu}JkVIT9ys(;iteww
zQpGqlVezcnrEk#+u=($r@P*T|;Kgy|ZFz(?gs;$&p9(3#2Z5u5r4{m^sNrWU$*u=_
zm(|B&*OVdRRb{}Kiz2uu<%nl*rE^qYS^PnFHQ2F{YnHmI1b;U9|699f06EQ}QH~NC
zz;V}Tk)cinxK%Z(?B)!C)cRo0vpw2S^CWxecBUE}O=OU|u0(+}M$bQaxAZ`&fSO<z
zt`2Wc$-L0iGlsPD4^wFG3_z92v?A)K2_Ax4dm33x!0Go0zl<dXj`j|ETr|{%lUsdv
z#9c9gwX&_7qo+(@vS;F=`!rn_yM?C1Doo&R-?7ePE#?q#A<13HN)Oh(WJMT{n1JX?
z7w5&dRxsH_j(9wz2e|f1C$88Sglni1fqMX)<2N6(+@lXdPUq4*{V3pEHE(RvY6Bno
zAHLc7P#>zY_PRBs8-l%kg^jDU9k|4GmB!c5Ir2KGNi9$x;_fTHq?+18LbFK!*e!k7
zJ^J6kwpZGa{8+xNQp^GDJe-F=Q}kibM1@<1u7m28?sbk&9KcnQr9m!34??I9OY>=p
zAbgtCwvl-QwBAk8Hou|^Z(@(JmsLr^<E<r=cBBn3{3gnB;|*<?<ujRys1g979D~y*
zha7+}*i28sM-y6%j~a;BtP>8c8iBmA4nRG#!|C1x8RRL<Ar^9l#9gH`)nQBykjK4T
zrm|NRSWj7g|5CI>D=XwLr|q`~EzZE&g>EI_Z|s<-9$`aS-mZheG&^YjFtzQuhXSa@
z1*(xu`LL_vU*<Z=4ssK0ydTubK$qPkp`JAo3RurEH0`y8HU8dXn`9)w=;A~~2A41@
zrzUqv&}=|pV$`08CJYCU&IoTjAc9Vz<8mqTHt_qQFiXK>0pMDh<qfhC#qraXmI+A!
z9?^c0rjwk|TJxo|pj;H2taQANGXOkSovb`4%?zZ2+%E#Yi=sk|wY%k-HF)lLl+e}x
zm*~+}otXJ7iW|-zyez<H4Jn3(9N)vI2@cQmg-rB1rWq}{zjUm?L+GH1-h4ZuW~=>j
zN2DmW6m4Pl@u%}xPsx_(nU6G?&b)m=8$^+_Oj5Wa+X6nk+~3omFitZZ@^cv{iK4aB
zv7m?J<`5poam)D3JZ&~jU^;kQ1pC$<-!Ky9uq%}<%zWlAZI1>+`lk;fnA<F$dN0=u
z#$t~>D5+hiU8xJ%T=-4|RX82rH*lJP=Y?5uhFB(K)o>`=`&k56$9ha3g`2|L9p4i2
zrdd$-a@eN!b$b1(?Xf+JCh+ukF!MPTcC_}<{U{8gcu#_NZS1TGOoxw5u248}@qUQS
z#4S+_zIN)!Emjkl)A)Gyy&5;Bxf~I!;T6ML=kw>9(v4vcRluc#i5FFQg^F6U#PHMl
znH$ITjUi6#>yr5gKBPSVc|_S>9A&?33%}h?fvsD&7h5|D;Cg-Q-N$SaIC|Uu^pSHE
zaNLN@Rca)3n%-#aIwXNUMY3bES`-L<`Hx?ZLlCo?im|3g5_!Xl_bd$?!Pn295|<|h
z@!;{4#L6F1*kr=Pzpcm!%HLJJ((4pLQR-d2IzbsMG`w#5@EAQ`DXplaUKrK3z5ngv
zC5wEq%|mDGjbKB@)deP+2woX>8NK>Y4v#y$@!YIv1Q#CNJegiAiq4)U|7w%v@km6f
z{d+DWP)c0?dZ|qe<%e!$9dcK|nTX=Dk~Kr9+Uw2zY)Txx_S{Vwlu^WtWUl@KdYo@0
z)BdTjB+4AB|G_!0h@ZB;N{i*DpQj#PwL3|n0p)$lnN}sNY|>tmRy6{DqZS+9%hGr}
zGxpr!C(1at{l=n&n-MG}iTbSe%AiSz?@(=;3O;^2HUHp}5wLB$@a`i;4!sqta|Xjz
zQTITQjmAeK=;Ao{B5$)i@+EX+SMOFs_WdCTJ=7_nzWm<4kwpP_&8tb*Sd&rXm6A~A
z4SJj<_PZWU0iU)cZRi(N$EONInHK!UaKzm7=bm$ln8s|pHRZE9rbmwUDbu+<F?Vh>
z)kFz(O0QWCC2FAU&QD*4%uL{d1fR{5IVH@T*<O*Mtcjt6MLTbdnSjh+wPv?sWpq|I
z^>V+XiNj6_UXA&t@Y%K0tHxUeJsM&^(Uvsv?2l^RgkUo;X}=OFxvYZBpR)f<k+tZ3
z6FY7}-wVG>R9A--Rphmr6pPW)Lh}|H^J8%fD64h2EiSHxp2>Oj$_!fAP}}yB{Ko<m
zy#MfrCaK}HV`b>myPEiWZc6sVM@z^(y?B1#xEgjpWs%Gj(8P~#ETuV$tRUsd-GPl-
zWZa)7eTl_Y1MLbv3T!xT4eaS30>`|_^uENLn%<?3_a9L8a<vJVyc~V6csCi-B_zla
zwqz`s36AdVB4A9+S~km-jO3DoTSl4Hu<^F3KYctQQOKh<O_q#J?l&&4-B-a(vj<Bo
z#{qV_s>qqQsUd@%u<n$lGNy1o?TE<*=saC|eR97VI=>TG$gNkzOL+nlw`l+q`|h$e
z4y)o7yEM0X7X>`+Tog*Q0k~<tiA;7@#jPzf`THy6Fi||)sI3E__S4~!klQNw&Fr#V
z?2I&uee&HZ(F{OzePib7Q^wIUiJ9B(lBn9N9jWykAgDHBO;AV~zi;iiwS80!e`xjv
zdZz*;z3tKWAe3;o%g+4lauGBx{8{kt06@X**p)N;6fr9@O!Y1bA=z<XMTQB$3-QZp
zjF%N~-}lE<3XdRu_TcJL{zt&3FXl_)&*br?U-~wsbOC&{H`pyYiU4`}ZG7a{a#$7@
z?W9QK!>UBaPt+A_5N1E^TCX6Bp%T6Q-{0_{&H>S*%=EtWIdO2yW=P{Jrcv4}6K;I5
zX!XL7{*T^-uZ7MlNg?wi;U}wnTo@~tW;(IO3Zni##*+;aIGs?{7H7kW?_*UDo~K&E
zM2Ejg|3z_h>EE{K*1&-e9tKglwJd>SX?%fe2VL)SEO}m}a^UCiXVqbu77%oSndgOz
zC>B%8qiPB`@Z*iTEiqgc5c2!^9n+m6I62<^&US_alb)TesS7uU#49<|39-UxTtgQ9
zb(j-Nx{fbBn=^y&kIsDcYZk&|+!V(XQe5~!?axfr0W&CCGMg~g5<-I~+SzXNT-bW4
z+)`)66r2q2a2_re#F3v;G7EFus4gG!dTXF5M2%4oJ6H<huKR(i`NF(7;(qp07=7;;
z>j?P!gM?Y14lH<X=fi|uiCS%Rt{MBPw*$*aD7xZ%`6-njWlj6eWG)-S;aWb$p35X`
zy!>>EAx{7|#%yaKB^kpuh1wU%QFNa!9hi&>A>sBy>-A81V@S3h&ag@(VNrF}6ysJw
zG|pq$&-ID|9VaJ7eD0Gl@n&F3os$sq1*ckw@1%fOEj2jc8wqy^h4z|n7DoFRN2^%|
z3V4h~q_3;c&#&)v@%J7P9Hrb-n|fdbt(&B_j$9PP+nSQnSK~!-U9d_1n7<KtYR^gx
z%+vEjIw~I5h#@6pNq$P)2qHxJx;oAX;lakkl`FgwXv&r4_N~Vd`v3c=T22zi==Qj5
zrX!LV-EF_QHO~;Tp7(`BQHAkb;*72NpcHnmcJA^GF$BqnBVzWEBG{iTvTNd?3{LLL
z_c3%c1h-c*J9xZAagLp_T8cvs8^|7xd`5;Kexj8av=l?(YDa<EUGk{H@?U1Pk|FG=
zmY%CI6GwuqoM%EPU{juRf{dIY{N8*d|C+M|zDZ)c+ODC9f?2uG<kSoS-?|M69F@cy
z2ZAe#WR;M~YWX<T(h%PB{w8-8Ng=}?%kx1J$~a|9z4LFkA>^z`KGU0%#@2CG+Aawd
zlyK%cJCte&rTZ3Ws+(o;8q?u2M`=~8S+tQjMt_Ij=o`50r5yH;$o2)usbNyivcq*<
zBe*z{S-o^i9<$nhKHDHi#^Q|^j3qLRz_i`D%-L4~kKC0Ao)S~Xg!~-&d?5<_yPxH)
zs-lRIM}H0$v(R-iomLi~M}b6%*LSLB6j9-t!lGWk29jf~y6f$YVOqA+>r0gq@_4iS
zS6QHmb!rSt{eS5k?fvuATC_5H{8E3z?V^PSA2@!tp$VklIcjF@sDhL&DLqZCS}6Q9
zcH?BaDKIYS-QUfkiWF<hvPbIL_<TE0(z|do5RnTu9W7VIWP^kQ1D@J=^zy-R`(ShM
z=+u~y^HIa-l!od6CvBXbfAB6MzyjJ@c%3#6t0B(%OP*lU#v4%*#PAMFAgPRBsM$%z
zRWiQ(9j}F_l>W2ur|U-Q4&OE2mt>5*v6R&OQ4?c0*5l7xSwp-OdzbECGM;;@n#n`I
zudI5OQ?)b!-JE$z)e`D>&1L5|;aBPy8&2kXH%>sB?+6nYJ+6FH==`A|GREj?z(H4l
zZ0U^j%?o5y6)!dmomIu@e1`m^nE<BKqg{`lkTE%-B;?;Ny6>M)3;xpuP?g7%u*rpt
z@#fzBcPf?ek*-QBiP;A5^}rUbcWU@y(oIo=PZ70W@oS!vwE>=I(!&~LHB2#ml=*AF
zJSKizuMbkUfp#0UlPyP8QPC>wZCQ>C3Lmgbe5Pyz+i$1+6UtY?8xtpI3o;~;^FZ&T
zM3N0G5Bm3QX;8+BqnEb?HHo3vBk}$ta{&5xtQ)7lDIqyUm{rzF1osD?N#tt)nCt!3
zWA{@LQ~2&(idqmv)40Ul>L~ylh5P>tSy8|pBmDC^e+BULviFuVUH}q7mXez|6;S`1
zGKXy<ANrb?NMw-!c=GyX)TQWt;l=cC*JEzvIHi#)mP){VeK%rmzbqDndZrrraw4s+
zVuvoB=gH63T(&%r#;bpRF=$?5$E|~ZvS0pZ4YuWqp4-@^F!SeX%3dWlOiWvxy4hd_
zZGXjuxWgqdJw$+VS(O#{6jt!LlC407rTb4Bk2oIoS9s?i%Yyql+%n}7ErEHYLFZ_d
zC{`BNdZ|-ba6G%bhi%#dI?lN>?TZsZM`@^G(_+C9olEVF?iNrx*d6xvm@r0$1l*I{
z!-D)3rB9h&nnQ~D0&y}-2xa;!tP5LM(6cN{S6#^*jFY?H{LU4`F4x{B?jTnDPNf!R
zUNZwu(XX<%hDa!=&J+Dfn+<~_YG&^+nt|z;CclezB&@#H_Th#EJ1+TllFpnmh0uKz
zn@XwxW~7#h4XJTpgwK(89y2Cz<wU--v6ldDS`@zyKAc!k`_<7e*aY~SnL`$t1hBj7
zH*GbK3vVa<v#g&s2JhY=<MkW-xT^bLP=S{R&6>hYpPn=Z+p`11^;`In<MI~;-&9^a
zbRw|ceT@QTA%DHo&H0g}r`JAi%8w31H_07WD8Ssas=n&RkCEJO7^))#u=GXA;t@p(
z*jE;|S6t;st}>3Slp`cOJQH}+ui6OembP~_Eb(Lbe`2K4qk^bHi7pu1X#@(dMcFA1
z0(dbj^-tdgA#^`E8NQ9t2o}v}x%ue6b&G#<jZ~2^UJg(!<$7ocW4lSDCP8}LWsYjU
zZzA~6)$V+tzacE-{=B|BorJ}5YK|pjF^pe$UC=9T2>az9I}GXyVv1^r)=IoMD)PSm
zG}mJQKQ)wZgnkvoOJvu>mg^E|zG?I*<Qsrh_9<PDY#}VVZ(?P3Sqd#n>eY^g8o<J`
zYtgF{!nnNYZro)(8N6F<A4IqtfW7$h%H>@mxUc<N@|7uBOc^dsxM*SkzN{lVy?2S?
z>xGFd>D}@uN?g38tZo3GI(rpakBgzjY|*PEZw0LPWMo%UGXSX<tUa1p;^^NU=Evuw
zh|f)%{q7nVfTZM<NJFm#UdxQmuG_7IB25JZ)rFp4(Q_+HR|+$ny!Cd4DB}+e_rw>c
z4B$WYZg1^d(kQW)=^^V?6;!f{YH59904ZyQ@^?jLasOUnlJ_H3%n{9Lb6ht7VN2~z
zrA2ZWe59aFzf}#>63;*Jq5F}oJF($azC6Z>Mmf|?lko&Ovy-pO5R7d~uQ;4jKpwp_
zV*#uhcwo!VG><(-Fqc~;zjK=+0-H`=8lA&`Sk?qSXQIH$;BEP3Qzbkr$gn8NsfE4+
z@&kTV6etm9jx3W@MlaU@%E*`&8eRJ=FmcHk?#0Vft}iR&@yPJe&_Zo2`g|$Z?w|<>
z%L$9wcdB4xlG(doW;!^wFU%^@-xM^8(n-rjstD9y^Eb0~@RJQq{!bv?M>Lnit{hUs
z`}MkW(v3P;8=x6cf65$oE(zzS)46?5Q+bkWg$@Qe&vH9nvw+{dYoZyi$arIR{ZYbh
z9V~izPjj-=5(c-k7b#n-<JF{pJZ|;cs68ZoKDf>b{`zg?P{>oqb*W~a@?kC1{(MtK
z_M<hNis*4(9#Y39j+MLzHJUii;-dh~1pE&G0RR6Cmxnvme-y`M@4fe)7x&uxo_ozu
zRz;Lj3aO0zkVu(@3Q3Ysh_q;+`8`QirBY@Rl|nXIk)MCyJfG)$&hvh~U(o^k=LZ-x
zaaZ>)n)Dt`?8wQY=z9Xt<mF{n<~7jCNXxmjO&w+WxT2>X0c;qo&OG-@18vh?pX&;$
zVZ~Ztdj=N`hy}3}{zDoVn(d}&XR3n9TN6JYa-_jmN#pk_lj`V}v+Qf?ri7iVwu{gH
zqrp#yL(b<nt0P0Y-z)n71<WY^dHe7g8m#^utPnh>hOtE->Mrrgp-*X4n?^Pb&YXDB
zA@fib6E}~{>l~9p&zl$X4U%c#$i1Pn>Xix#v|ceERusp^G{xH+18I<Rz)6s!Q5pMQ
zYw&*)62W^nxHLj6Y49&b^i#kSC7j*aqIqwdAR0e;ZQ904gVO0_zrIREG_;%UJoJ?h
zvjd;KKGz5kI?GZnen|mCzNH2_6I{r-9Myxz0VGJ>FWu7QQFQmKi}4QZC@XKSMx_8a
zQwlo0nB_1xXF*>ioCOD&g+zA{RJhQ+%pAxjgZpN9Lxjjo=&>h4?uRH9yk<0F9x6)V
zTT`XPM-dxvPQbr*Z?F}Z@=5OB;4OjIZ!Q&|rZAvcx5<Hr&n;n9r}_QbT``P29@t8*
z`bWe@qT6OcOYqU`7>HCA#p-uSt{We&64@L->^22hz#!`|efM)=91-YjS@BvWtkB&o
z?YTL)@6NF0iWb7tYqt)hC9M*9Q9N0t;^v?|U-r$?LlCv=Y&>|C{}HxX6$5;cW^f{x
zl;GhafPU2%6*E=Wi2k*LM%gY?I7?A|;uXw~DeY`Ji&hNi`?8>m%fb{gwk#dAcjiOq
zoyY#};@f~7l?UH2l$pTx#5A+^6&}1z3;&OWff0pA4b-FsP2e!!gYB1xxUs^GMg1%f
z69$!;=lqvw42LYvY#m|Z#-2WzeZ_{%xXI7UL1D=VURBj|h;8M<Z1!r?SCK5(TmIpa
z-Vr0<JBmNbIyupB@RX|adsh4ru!H^iv?1vCns+;;aAI%uXKf0d9l6Im2YMq6p<O=r
z%BmkH9^Y&d#`2Z}pSo#XDP1vua$D=4e*!p>-2TC*H;fB82!Az;(*{uJqOkTTmlGLk
z3{-XXc<^+x6ibVw0i1oK?=3yfi54-EI|umq@cVO#voY2BkhOSqr{w`IB(6M*%}C)#
zj#+og=}r1jXV>u}jfWdsf5w4gt^n3H&vqD3>Va2y!u@BR+&EJm-po)Zh$pOyc6H?H
zfkl{4PuD9REU-VupEfRpE|15(pWEm`m6xD{+-F|Ym`V56G7-W3qvfA`mniUNjq!E{
z7e6+aX|`>-B#M%b8a@UODd0CEszQIpj|vo);t)Y`bO;Dhc^^#y!=RemYKa0^v!ZU$
zUMhi1zty+(*ifKQM!u+dry%Cb&0VQ>lR~W&QAa*W3S6!ZQG32g2+4Au?R=6l$SZlP
z%V~)WzgB*VR(J^G1Hqw=vVXE@C~|ar@^>=4WNYJ94i&+7U8LL}@$xtr)9(DfhYWog
zf1cHstluq{?pWDb1w7rdV!Hba87^(!-L^a-h6lP#Nm@4*@eh}8Lh2+L{=5)Tk#Lv5
zDvcjyS3a%h$!o`)hXNGH3~HCuc`J#We#Z`6<50o;?c?9WZ7I-D6}Nw3mo(N!poNu#
zDtcbh9NwNmf%7jCavM2hF}>IzzxIq8T81uJat~8rD0fQFzeNt!yH@u`cdFxqO$^LR
z-g+=*v3)J7O&(u3=%-K1XrhW)Ws1ZPJ*be~S@9JWP)44ClH{v}zkWHLq@?OYhm7F`
zna7H#NBQqlL>37h_0q4n+8BV$;bi(itrC{+*0i6vqm3S--%fW)8A98(XnE^eWqdS4
z%t_wSL7Z~uh~O~-doJFz#s@0+{p^^oPqHqG4{mxnC1wmR*9u%*ZmD8?i?57}2pPNo
zNZYZQn!xZhaglsU4L|RDn?1FWjD4TF1I!MYLba0a9eSiXMh(bujrfr9lk1C%c-IWr
ztBP*0TWO%~&xhO&_GA>9T`*5sHiyf-(kVlu8t5ss^w*q&jQyVsU0v)fp|fx_a95Nj
zzB|Ls^$T>dxAx?%l{70*S6&D@)USzFFGt>VN$Q~Xip}}C_1qJgYG`kf(!#f1#;WFJ
zB)n4H^T*@xI$u=WT7jg6HwGN1=7%-$NP|fF`7wa#0sA8}JX%=O@s;)Xj5?~-w<>yj
z(tu*F!*&8S@$ZCG1M3G>%#u%eAa{!f!xttl%Ghe+PM!qq$P3DN`d84(ju9HTX)b3b
z7iyrRU*@oqn<8$wSyptJmkv4azNx)?ua3xfF7m3dJa&sl+XhS1p*qUs4QWsfgJ{*{
z?O&u&TkF}Vl`tK&--n&d?@+}9zOn~Cb&8>|vXrgqA`NODN$g2p|CbLtNc>Z3!Z>a|
z+%eTk1CMke>;ICJ(V0V`xx9}bUz&<)7@VU)d7()M;iQE17rt1N=D9GS!iuNEo(A%)
zHa3p@iddM`Q4qn-hTTys-0=$lXDW`o@ad9A!4KQoCr23Z*L3lx{9*t$@)lrplEX~b
zur1f5*9h5DhHO^003Jm{!)q(jNbxzDozS{OT%9J!PHj{$(h4QrZk0r@-mBA2b$^Jh
zLp-XXd{hWC)tyVP6US>eUgl^JGX%4L4_(sL3XVs)-EL?R#hIr=l09`(1b4Ie@?@4J
zJer<-;ldz-z3y8shcHeOk@3a-DxDT!8mQT(xKjwvh&#w8O^g##?n9IdG8UlNa!1>D
zKma|Dh9}bhjuQ&FJ@9>?IrwC~i;X_bk3UQQeQNqMLGXk{e=?{ugBwdVEN}1d;zUyY
z&FJk@1iN9a=@OS21eJ7q#AR_~_rs2m6RFe0gYfVBO#MwEMXzhy-C9n3A(eJFb$*6$
zsMS$kLld~uwRf~Zh6AI%3DxOco+D}uZ_PO<ngBiQ4*wd#hI=$?LWT~`6Twg97I;q?
zgWMtekm7t+TnkO{Ke%s^SUFh~YBys92lkJ~vRATTLP6fw$`i{(g#8Y?AG?h}u*k)?
zd6XGB7T0uLpRN#zF8AyDKN^B=(#7C=+nKRXt=Qp$*c#Ed`F*~QlOb5k<Twn?GNIm2
z&ZLtq4EXxq7sL0B2C%if#Q$Rr6OO&RbX;DX5gBM#{=T#`0CR7pLi=JSd=q<CU_P1&
zH6wQ@@x9iEBI%Bs0e6^ivw-Zu$K%Y{#U5n))I%S#`7Jvhd}YFskezuaqgnC0Hi@}!
zKo5L7>kn}0Gh^Y)Z=O|B>=-hd)0P~r2VG^Qo>$A6k*RF6-fRyCaz|*q>Sou2oY>2P
z%$6+3Mzhv2uHizhrW-9QB@{SV<t!^Y%Yw(WQm&WW=Rp|WiAw8Sc*@RX!rjV>D{-wQ
zIURiH;ro~)eS{1z9IR*u>e=w(ceC_XJ^`HVePkAwLk2efnf|ptcC4dclfLCBh!Yoo
zN^G$uL-Jwc+8>gfxZ%X!>t0uc(3|Jdn?H-XK%`15MZ|Go@ks8@1`ZJ%%QfpBjL-$+
z&L|NFRv!GT7WL|9mMEUlJpVp#O$WB*qzvfQ@}huA;%JqzIBHrR2tAgs11G{+A4+ZH
z$J_<n!LTZUf2VTtRP1%2KvTMya2CMSSG=reze`~cMqc=jO$WrTT2EaM5X6J0o_2MO
z$)L0;J?Z=xZP<KmOlL7)2)XjEiZJrXqxo2L*y3w#nC=ZW`t(Z}^Hvkz_8ThTgUa^Y
zhz@N?j@{ko;3A4u?@BnB!W1$7h{0$5Rc)}aidBGiG0gG_{k!%|3H|KP`4M(HkjHk~
zDmY96!>!h6ol+_o|Mg|s@<SasDdjn$t}TT(1AVT&JEe+c8_#Z)aM6W5WHamiEHWs$
z@xcQRMs@6J;CN}rMTX3ZV)2+ISv;LZYpqMt!2Q4a>yMlwL;Nsdxtb`CV^?X3LR?yS
zZXn@}hXMuKS?2HBT~xrvkGC{A&XG{^+ymx+T@>({`1zyvfg;lBr>85~b#Sbo_Qc?h
z9-O~8qUqYJggo7~2lgD+#q22ORqZl;VBEd>=qR%aiX1ANi1jAphF)Eo+cN`*6ggVE
zMOPIMXPkBT`HPIUD(SOhe+(h}b~)d_t!nFia<2G-7X>T#FeHsQ8^aSR(}suP>PWup
zq!nLA!Dat@V+qeqK<vfS#JS@d_-2xN{ZkVKT|Jxs3EP^%hT<y?7msLS0cVv_&Lavw
zMPD|K9&<S1xc`^xMlF1q9=4znNx^rrdv?r*TEaQ4kx}xZ7WSGqNeTWX<6nQZw%;45
z5Y%{0>-kX<%3MDqxz~Y=xlubs1pz=|53}goCK8rip3K--uY>hWosPYe0LF!FC2ziv
z@Js#qV~=u4XwI*p(vU`jzG*&nmPaH^h*=U#k<-N0?GKNsaMPjS;Ii+47YRiSo_kt{
zt0Bp}r6Dhr4xVe$+gS)L>~aX`8oI8GDf;~{tZL}+(KuYwdQuY~`!9E6hXU#hzZU)2
zM~Az`tlyj`HSlo3VO|X_Su}E6bIl&2!!P>&U9OGlcq!9v?bob0uGw+EU2La=?t!ex
z$XGROH<dWPUs)L2XuUpx6?C}PLuBlbRK=Iasa$m>d^p~_o$XZ+9q8{|qH`;haYdrL
z<q$tRj)*w*iAmAn%Hut)*1Af#%d4fwIClfyC@tJY$8|63uUdNkPyyvaFYw&ixk!XX
z2C_Hrpn>g*$F@MaJUTfJc@L;f5~g#;Hg{&%{b=H&xadO}G%8p0ccBjwuch^5LQ?^J
z9~9eEF-u{dXN73c@mAu3mh3wQNr2UfoO3^pieof;qRbc05^BW7>H}5VsUY?C)jm!M
zQ4}dvz1<tpN;UOb;pa%Og1Qv@n@vB2@Sco9yp;4Os;7v>n`3t@fq$F1p+~;}{#w0y
z(CK9tmHcfkeCDeKBv%_1*0S)U|8d_#m7U#GFQ#z48Bq&x-lnFk@_-vJWIJ7YKh#Cl
zWlH~E>tPNJrU!Qw+~>e^hweP=4(gzqkdM}E&NYMc+?waFv#{Z6&Uolx;|FSjoI~E#
zep5)QnQ;g#W5%rIe}ZxatyDG^4vteKQ^;03+f;Oh5$lZax15Pbs+fPQ@w<2vP;Cp|
z)?def-#SW|?L)3p<5CanLANpNE)}djVEvC^ru<B@;4ddcYfVN<42@x*oL)zD@?T;g
zZgW~+&<mnI#xM8PMI)%2-TE|KXNfRd9BnQqza`3#zUGVgX9y==*sW?BED)*8O^^Cc
zd?MUU$GsDR41o<7DLiNY5G-zxw-DG%T+{g6+SF|TPuy3J^BK$$+O^Ar18M`r*In~H
za?S>z-5;AaBRflol<PF|NPj2VcV8L|dZ`aHeshoL4l_h(xv%G(&`)B~@Lc05D}C6O
zt7f^ia+=8eEAse>&<K%q>0QO1XL@kstC|KKrinJ4g%3&cV+31_anS%(54I;?t?Xl&
zCWfmsw_Cy_!JMg_H1Uc8M02-d<-!z^<eZ6w#WcY-d#oeIg#xyz37y@7(}Z#G3(4mr
zGejY}+=%QWgJkmdDx<B_gg~;O;X>scaW4yNI}Vaz!QD1S{n<3ZTgktYmNZZBNtMK$
zWgx>ux@YIrjWfidTTg=fVipMshBg`K>ca4GPLk~M455%C-=34bO!(R5Z5`XI1FH3Q
zxAWU(iHrj+);Hd-5LO{4gKdhmLAZnUbXL<Gq2FBF=V!L=%YWL;>;_4|(L>udKlFz%
zi;Om{9%Vp>yuW44nk2wm`|9+y76=Qw0KHxhMl7+2>%4MQ3yP)p8fjiyBpjvfa)&=N
zp(&rgrsaE0*nI1dAz5#kFl`CDy)A_W8&94%C8MJW9_YrfUfGGo0+&~V+t@JatfY3v
zc@6OD{P0+OdX>28cxul%Hx6u!Ol2Np(14%~VQCxq7%<T3zfaXMTv*<==hmZ0b<lXa
zgT_JMfM4y;)&B0}!Q!t^j5GhJ!S3Vv9n3k5SUSi$oM*W1m-ogybdIaR=n)n7JT_)z
zh`D06uTTJ=1XLf77f=I%xT;4ti&#+4P48u?x)6T3Rn}Bkr3&J%0cV1Du_48n+HBn=
zj6n(PY(qO#VZv=*!NHLO@5aqiHr^J+)CaWhQ(~&{?YEuE>|QQ>ck{r(*4yHEIAGrY
z{&y9Km*76-UB!d@T)Dz~K1<@`O+{zp>Q#UtHDmCd1V6soZKxM)CWB_G#16h%6{t1i
z5@tCnfUEr8at3eY&|h5gYk7kT+&vxUw6q|I9XKKPbfW^c>gu$KOsYUk?zr8@JYn2b
z8PYS<tccmQ+s`$bsY2#L8(;BGQM}7Ys0{2?M*pCm<?dUmkPybZVC*1{vxj<vt=983
zQ;Os(?W6`?4=78L-je87&zgQ^R1J9_$w^5`tAj1Oa5p_i8cn-*Zr<9ifh*<Czu46@
zAfaG!%gDSeHXIRoCjC|m-!sW6lpN6n1O1Iv#VC&p8w-0%K565ie2w%R$NF8VCdX%q
zE8@4GX3gpY>s-EZSzvm4y>E<{7i>MLgm1r8UgVe|WBD{oT7(1{9153KMi!J&^=3=t
z$6*Sx8aU?r22r3=khzp4S{0+_I?Rr|*2DVp4BwDZJ=o_J`)Bm808c=$zZy!1_f7bn
z)5jE-#EFao17Mq}^|p`IK+-+uhlA<{c;WZNuzZ{mSk&FNAx&vwgLnMRi|Gbv@}uDD
zkrWdU%}!g;-bBLZQr#v|Hw};zvo2|^duVu@U-SJ`Z5)j`;kguNfCpmbB_u{IV0P)a
z&&l&TIOEYuOa7~mIm3pLQL0oJwk~vu_SZ$y=)22Z^7?3^nUU*P0q|<>3UA7!F8VDq
z?^2keV9TPkqe$htKl-+i+t)q$=i{CE*<s}MUKe`7;w&8w{FCzZU-#QRdajAu`?c|>
z*Ud~xXKPrpcWl0NO&2>iNAvDItAVo5Z${aEv4-8FMqI6ZI%xH|=9P7d3O2ru`Qd71
z10Ip2LB=L++<&Op$>!)f554{DIYMlpj>aMEe}IIilPiYXWu?&NSMzR@a2x2nRyuyW
zT@&4w6Bsf-3ZdCIFITorHV~FQtZvSuft)=jX6~HiMDj%ibv0HScy;nx<*b?-vR>0M
z6yyCzG-Y@#Pn22%J4cz14_O73$5PpJ42OuaroXkhWNTp7xmxo{PYDlB3978-c2H-F
zE~H++O9!X@8>AG>6i~NWx~PscLtWBn-g8xr4zcb%FU$&M@iHwd5BXN8+AMNiKMH7Y
zWLwd|o@q(k+kWw;?xPLRJ@5IrN{|Mb8;e(7M~PuL?VNr8PG;Z(tx5az_5BMTj!`uc
z#?Fqdv!!aR&{!Wql3@oZuvTO+GZH}S_%41a8#d_4yWzwvOa-RG;g+{QxiL(2@6@T!
zY!GoNN#eSq6|C-%UUukb!-nlUA1Cs&!;!Z+bw(DJz_!=ae`GTgI+$!a%frA9n&;V9
z_U*O+nx6%S^1gpWFOTRArg}Cg3A;kCIBO0sQaCpHGA$5Q)Pno>gV;cYv?*h2qZwQk
zx}BX6Fhy8Yk#-(uWrNcD`$C?xnnCBP&an2{4<fBEeOpxN`une#Z#Q)@g)O2I5%i%?
z1YeZe>m_GaP`?#qs##<Li*t>wyWNY4#2z6zZ8lbDNl$fSoi~R3Eo_UW)o-aM_0@`^
zyICO1SNHf<4`Uc8R&uam>!*GY4vzoXzyhhA@8+s&jKF={lTP!2A!@9sQ$W-^7HD!v
zRd13r0@=yztRcBEs<2ywZs0Nt(EEH`T+bSUZ$!;0>B%YT{@A10!S<{`%l+6X%4i53
zN%=B<`Loo)+uAWbwX7g}y=rkP#sF@|DypQ*%u_iTrcQP^vw`dTPwBX*4-Pp7e`69C
zsh1l*F&$=OhtnlBa^c7Hp^}d)%Di)#8f^M}_`xtc1VkSRTw&CQV~pwF#N}401^UV6
zAE!AWoWFZz*Ev0KV7SNiX#W~D{yggzab+$zTyc6|xx608<h*RU)XM<pL-x~IPI5!L
z^XRc(H5BNqy4)qq!3f@IJquendEvd!3o&q~Kp@Q|`!Jme_6|Rd-%!s7FDFa6zRZw8
z@k!VV#WZFhaqKct>fi@1bz0a$9vKLxxWTONED&U0;PC#N07Tjq*>~BHLCbi&mBXD4
z%wAbp?&A`I2Z4v*RF3OH@njnB+irH)zM41U?J5jW&&|#~@zn*Ng^*_PW1Qen%LZ^?
z1pJNn`TY2z1F-?pCF&O3@J!~^fA<W<AV1`XrT0M{V7Bq8Hj(3nxGzC6?mgn*9-I}L
z#-#%rUvKuT7vcxc<;=tfMUvp3C6%f0OdA%K!nqYm0>FD`V2^8>G(_b#n+PRp!(IJu
zGdFKRAijEx`RB`m?R-35-L>8y=8GeHiiE)N3&+C2KzV3)$<E)mRU00>z9OglPZ)HH
zp8w*yr~nG}7wS9$v>`F**`Lx#QSg~G;rQLH2*=J8PQA#}28o;gr9PbEaOmjxg%E9J
zxSR7)AaGn81oj%{kseFHg&f9k|MMz9{(QR6CrAgxFI|l~mm&o%PJ$QSv#Y`D5!tgW
z0=f_^)Nt=;hzwYnC(xSH)WPb{U1iP@U9hf8?>CN+gEx#4*=8b|5L`XDCUlGpUVe8^
z6t~EOn7Ntl^J`jAc5F)Gq$~v-Zn<q^98!S2!OAE1khEberSbUh0SY8<p?~-0RDxz_
z#f-EYI^e}evF2;ggNJ4wWt_&!;J%}CVS<ee)T2xB>@E7>S#q4=YJduinZ@tFb%P8Y
zgG%aLQwH!~bre_YMOEnX)Ocf~PXVQioQ6UsM$m5VP-R!I2IY<);*zdV;G=5u#Q8#F
zxKX=ZYi>XttoMFQmmH)(X4FzMS<V!m5bcb^V;WFpu;-Kb0tMvRIiH@nZw9^mP+8iq
z3AOLpwX=FCa7I3W-QL3jHtD7J1>Vtu8Sdb{^dt%_Sxd&q%~^uJXE-@;3kkAx_7+nA
zkRfG&%Pu613UN`3AB|c`P@PXrjnpOs&&!UrktBeMxY(#e9NNIb8rnJGrvpd)Bad_H
z(_q&rha;@K+TgM`>CJl{63CYtcks8;p#4Yh;g208xZytWT0dL^I%^{n6Kv_g`98vK
zY&QvfT+_x*Usr{cjV=c~uF;`;EU@`$wHDk6c{(oDpahJ($-**U=@8H~;n@F16GY<T
zCWgMtL!Dctm+}f7?y-ou*Vk!4;E_yDFqMX5^PLkqf9WtfnHOgkrw$ZbqArY447yF+
zuIaDO;SBnwG@+;lVcqwRc2Wg_&d_}1&rLd1{4ToFc25PwpKQ6<!Nv{jS|rlteRR0m
z{>A%}p)yFG&X*0n%M8-0M>yU2=^#`1?NsP}Md+y`Wu#86P-_D+R+y`3ki=MCnWe7)
zJ8qcRCES^za?U@OBstLF!`;MG*JwFdFme9;eBcLl<*)nB`=0^YYHYY8OQqpNthw_L
z`+F)wrRmYRg8()CYDPO|C15y5$jkn2C2{dE18dx0Dr`HG`u)ZMF<264uTQi6Kv)H5
zvA&U|Ld3sEj?%m$@WRo7MYy7ukUjN*^`5O27<GTBX!$A#5j9q08`u44?}qSm0b!Q#
zaAWJ)fB}BE@u1U4A!d+Ro}Q;vT(f{<e(pMQ>$&kWzlhzWaF7_t<eB=|V-D{^SuFo`
zaYExqabLZj0m7^5QURx!IqckHDO3E54LDV=3MRGo6RqYBPBd>bxMN$<;IWYfiW-xW
zC_j1$s@%0;_YzYWi8nsqvA_sThHh!X&Yi@B$oC+Q858)NcDE#ZoB_^s-ufM5^?}GQ
zHGisUX9DxbN|v8){73x}D`39kV-s<Elbrt1B4dz#MoTv(|E0EH5C4*akB9`q+xF3_
z5#;i{c6_nUi_quu83mip5Mslg6Zdu-fxH#L&t^7HrIar7fAP6Ty>9pTyk4^*+~#&Y
z8MJYZ`k?c8i??tCRYy+Gk;A|cs2+#Eu-=%V{;O&C+SbuVHRzCk#9e9t<msHoCf8}|
zIFq-rYTYNQlHRcvQE>y{Njkx?*L0nCY+=FGe|o4-XJ1;fWa`7W(;s)&)lE>Ta=SxW
zG`><Dc01ZV;?jpQ+ovTf0prxerAHzcNZ+U<VU99l>3ZNcpjl86IYteQoqjse{DXR-
zGq9S4cU`gnb$z$$`%Psp>2Pa0^o#16R^@j%hXUb65vTIAep8L-ckT;R7^RNw(tl&I
zo@2*mHFbM4e^Zlcc1UQCj!}0Nc;5BBNrvAmjkldTep6G*Ym>X%CaK$71HZg9Cqu@K
zJFmTb#;ErGfrlJ|r>WA$3yDt)bz#9=;r4&><J8ahu2_UJ&r&~s9G|v+qXTHUY$KpF
zLA?|b!_;3hM`aA-p5$cEffcJioTv6oQajBey&F^JsrD23=a|g2;o08(XEQ>ksEsWR
zEJe|a)RgpwYLyrgRK1d$oN%6|2Ius8sbwuwS;R_OLr@D&8;$Yqah#$44*&rF{|uLR
zJk@U$$L+nc_q<&9;tqR%j};}UQ23FeghC3HB2i|MGD<?S%1)HfeG-)r8dk|3A$ug`
z=ile`{PCRgygui=-+7`r-vhpFVrAPo;}cve5U6$6#lm|DQ_cz8oZY*Pkt00EGTewj
z>KS!BR<w+T{N>nRw?PNqxo0;DUJ@XFMsEKI|0)*g${<sAmH`G`_C}FJ3BXX|i1W@_
z!~RA>`%6|PaC(<$dLm32Oy@I={<^GVZI&;~VjG!3^*`^`Thn+jjPN(++r5FsjWIrx
zDPn~^0zUan$M8T72!EJ<d<%Q|#{}O>V~4fWbU(cxN^qo<_>uAXHa0CPU9QW@1ugTp
zrCuFVf|=93b`o;*u$pw?yH6Ak1k#>VYR@Xda!vrl=NJYU`{Fv}{)i7wRfo+)-%x~j
zl1ZzAAQRN(t~fKv@q>y0=Vmot5qzG_&pW(hhM2y-AGjs~7?OMal%)#?2J_sUt2wN|
zEIKW=a$5+NzSRHSO2Wab=gFbHCG6n)Tf5^;v<O@<9100^#eu|!)^zb{PS71@X&NmS
z1Fe0TN3->Dke9A<li!U8+AItomNH60&pjO{B~=_a2E25^NAp4G=!lbLqBO|J8}X@V
z;ea4g%#Qx;0;jBEH<Kr_;Ck1p`lJ&MqOk_4ihBZZm48>|XS_V@XYKl<{tyTKqN7av
zjtGH0f29j&qXOu1Gk51RD?%!Ff_A;32$a6;nBEFigdR{<d~i<@E}qd8n%*l0meSIt
z-|g|hCeC*9g^LnAtP`-^8z}+guZR5eb`zjxO<vX42@ijyS(@|4r9dk^^jxd03Z$+a
zP99EG29Z~ZDrfX%fg7xb8-3KEsxNDIgA@_&H>RZ<q{@Nc@ez@PL^3#@ZT&gEssiWA
z&%f7ZR)Ewh{@ILP3go_uH}4{n;1pfrkEZK582waEeltRaBQZ4gYsV<yQJ^o!wo3`<
zvsllV^{d06r0r+-0V))CX-=i*;$gpMPVK2$4alK8pt0+&2K4;QbU&?2fc=iA2!jEd
z5YZV>iwn_$!kUrinQw{EeISPO(2^!B&WWgU-qwMlUyjk42C6V$p4O<Xt_4hb8bp^?
zJ<vEnHFr!_gStO4SH<PEVD|MXkF)ZIa4s~k;T0l*yRlA?VvQz*XkeRXt{KA##?$V>
zm1IyawXL8nXn<i2|K|%n0B=7ZDc>Md;5^PRhp|;1p0Tta){Qg)t6S0TZ(J!*oy`3!
zcRv+U%I>W^zG?~+2SaD@ZWN$eIrOY>li|Odu=;2RGq^6o_e)2e0!_ca((&-^^ik%p
z+{UIET&$PeI8sUm*YT9&Vx3ALK}%#e3owV&P;%r#HVH_#`@EH|$-}!WJ#(W9b7=a~
z{F`8*2KI_B*6=_Qwp|~a1I-)?*MrJM3sgYk*vIDC8bQFx*uD+RHs8sm@bu7E0(6n=
z73|5J@P2(*OTxt*wziHlMD^prjPtJjqhniG+QGs(`M+jxg`S$-+^z^=O{zMg4ucp=
z$@Q-}5oTbU{u|lXC;%zt+S!WKVVaS`(cYC!Q~30{-$x{04#HPMHv0_LXvLu?S{?mO
zq40ER+$1IgWtxfdr|9X?z1|D_uYa0=PXPae{jL&VZ}!9P0ShxKTzusEdA|wNv760S
zmWjYajr(cA<E%)>nK4PW0buZi-KD3-f*|W%D7Mwjjy$&f$ISHsa>-L$(LB3=gLs6J
z$<2vmE&G1$K8r#6Vo}<R2^WkGao+q|$%!T-;GEV)V<@3R-{_`U;PO<;Oy&H}{SA9x
zmzzeg{L(rMFUSDWcdv-;8s$Vj(!+KKiVY!Z*V?HD-wo{Wo&aygLQZ7xXrJ-PZUg9(
zYU`6vUBVWV^oElTa-uAO-G@JO8Ni8aS#igte_<BV!5@7WI8ey8<<(|ueK_((r`buk
z7rV+jeWfs&106n4EE08B4;-%uJehr-i?Ju(%5%2hK;M5R*g1^og4R%6mFMkFntZ~?
ztGb*VD63(&PP)D>n3T0<s(c%w<;Hnz?3!UmjINLCKi$)TIM3g0b=$va_tGb$v7Phe
zg?8)6Ep6bQV0p|~HBTE|y`!<k!+{E}UNd&}(grPqIop3?%e0VHL45UL4x~=55)<mx
z0>94FKMIZ3X#eRh+%aw9Kyys4m4UW9dD7%5daL%Awok8{LEMECF$Pp5IJ9WOgXEFB
z^lO_mA8oArvLqMEYqpBY+NTLw0cV87^R{VRpDVo+S-Fwn-#1?@zi2>=LS(wX96b`B
zJfsjR&4V18&x9Os(}25AMC*vY49Ma@f6_H~UL+GJB=lik9frqMojqSMBJZ&)1))BC
z=;3?<)5mCaIJ2(je1)4C$^Um+<(0uM<QP`B5r$I-J7Vy;>pm>#&L;lB7e#*LJpOA;
z>OB=UVggm&zOka2Zvyg&Ab@=GALD-eQz3RD>;vr}JJQSg9B|7@5M8|*DsL`Bg$rNt
zuQW$E(4IWzeXfy0=>Ei*&aH10VBT*WM7qU=bWdEWb^9)iYBmP@E$>o5&m+u$$&Lp-
zm(9uhcu*9%?(N5OI#GbLzrb=sf)BM$R2hAm5JOQ+=9gmd6qxHf=bt9C3l;A<-f$yR
z0+kceKS*wqp@Xw^v0sZH`7s8yj|590<LE0ykw!8w1#=5p91}p1-zv}E50F9O8=giA
z*<=t8J~pM2Er>o>+eTl0FN<C|eQqyJA;W`&#`MlrA*9aggY%e>Lpd*UJ_Hqz;Zu;{
z$vr1U&=r@aMQ%|A6gQfp9oa($*<@Ar(=(#Txw1dwwj&NTW{0?m2vfkS{R{`~rZ^fM
z$Di{lP()&@|4wn(QNYRWtC#0)NfdGFI6BUNM{~|6+ZgjGur^SVuq7&u0$XZ@T|Jf2
zCx2wT!A*swqA|mIdRZiTiE3idPC&VqPjf~SsZhGd!iJGS4zWa+tQG61Af>%b_Nl7s
zaHn{qX^K-GjbE>;61=a9zNIeo<d3Pte<PQUgi0x(N!Kqw&rPeL5%D~KlR6Dh4N^HR
ztBFJ0;lCL@70HPB{zmmexh5>Ud2D)ppCVH5$k4?}Q&66Zv!d5qE!cN-$@adx5@Nk5
zyIcPb1r0DC;51m&2Fg*1eTe~hG<D;f?2kzb(u=>W^>in9{K)$I(0OHKDLTXSPlAeq
zdS1->-qQn@kKuN~9t5PC;a<wEL`9G>Bc8!*0NQOMhHZL8v~ot+H-LeP%GjM}N<$2R
zEJ`)7nkS+JK8qVXr4)3+NJizwtPzN;nwdm|tDutkz>y|A1xY?!il-gHpeq(1{d`mf
z?T+g5${Qk~iLSL<Wexz&eXWONL{$+(jeWpxF*P*T)KT<e4nXJ82LEXhRrEGct?DC_
z3Oeyo?V(qY30UvuIlD5bf^Ox?FLpdrMhCdtB?LxHz(EE)wgXkrc*Hd2mW~qg$QMeY
zXq&<l<tf>!Z$y-RC2oDQKmiTuO6<SsYYNu&-Ap{JM3mSk&-_bN4jtuE8ncWw1-5>Z
z_!u4ny7u=|2~A%Lz1ErdUK?i$%uejCEsJ>MXYl7HbG#_}7JOFKFwhhndOu&&sZ~Pe
zy$4Ul7ziR;HXpuLD^s}IsOEpsUlG|9@;Mp0@}Xj{R}b4bO`+e`Qc6k$hd%18KkHaz
zM-ScGxL+a@=-lIGXj&tW>O^KO1QnT(E@QXE4<8fIu?eC-<RXU}-K;CUQ~%LYU(_w?
zahpKLwUoPk%(5tyvRm_8$trE6aK6avDS-5S=iiHgQpj!Z=kb28d78(M;kBFQ07~DU
z>sD-tBM+P3Oz|2MwBJ3)Gpb)<p!BhGEg(-6(Pt{jFv<<mT>Ct3navo3TS5UBcd#%L
z&Uw!NB)E%4k!n3qEMpAUdI{%8`~?vQ3@7j(>Yxz}f35C4Yy_&+BQYY${D>o@Bh$|P
zBkj@I7gt!44B?XZq3)((K9sFD_T(K)Gp%EHjE-N20ciDIa0ssEK?}hh=e^QeXv=$w
zlsW|sVDu;Rko6x<bi;-E$SS*o=EnGX=)h5Z7-_qk7#You?zCBZ`#$+fBc&fbI$x{@
zf!^G-bvIUIzu@zZA-k6rl;OggMW+WT-O|3KP-b+wL6@o8dVm(PB)kbux<Kp4u#0_+
zs4GwWeJUEJjY!V<Kd;sSuC$Y6wet+9W?s2jj&Gc{TypNqH&Gp!%JNWXFr`O!s+P8t
z*k3eGl7~vfRc$z;EBkuboDN-)TOGTK`%QcQEFkCJlor^X*yF-H{f~w(RV0e~&(mDl
zgU)O?X@TKKtG!<yZP6aLs0`kBUZla_0^{3ln(*A_2xoA?Chg-$f0~cOGVMR{q8PBy
zglXxsp35s6wEJnv3xwmVw65mlTkA*z&Wp-ri^gowMwH6Ctiu1$eAAcD6@v!&t=1CG
zI&ILB1YSu0s`^W_`QC58zj0^Igj?lUd2Z0+hKutXnYU=ls)xLLtkof5<*Yza(FQH8
z*Sb$UaGRz*vrpfun+g*S(MpH$n>6f1QGX``J^I+(y^-Zf1(9K=u@~K&v?ckk=&c(A
zI`=-GVPc&Ep$kVYOw?}CB$wp>6@Otw-;P~%BPLN`V7yy3>&riyt)Tk(o5z_^f8FBa
zP*n<)J$V}afR_&CR>f+ja<L*#PKBbiG%}F(J>}?Vr$gsH)Q4;KupzaVdMZf+Brxxl
zqo)+nBdq|XEw&FF=;d%Qn*xOd<K_vA?{XMW&v<3??*T64KAiqZCQc1ds#Wa73r6%h
zSnt=00x!zQXEhX>RfT&}vt;576WVPvLe*~NLu$pByUJZuK{NnzPn)oy#LU6UNm+h$
zA3I^%)TILW(x2unHLS?;$8i&%I|AtA&D4Mct}1Z#u4ZfD5q8vU8|tm7AcS6g*{F?J
zAcApAy}%<WPL$i2JeK%P7~S(YGWRZ-2z+M^kH+$FBVxp3Pnlv-#O<Qz)M7;h!kzl-
zUTVCkvHE$P-V<@uR&}U8o|g!74CIXJ*E@U=!Nx7qE{O_dMtNPP3E-ghKy{vuA1RdX
zyV)uugG?*UbC-S+K-g?WkljrH^>DYW`+Sl`$5#JXT>MRd!a9e*>^?!n>9*B#UqK$x
z#p=4ph!a7BdpXV^NEjuwcMV=kR6t%uC;yuI5P{xi@D-UNiY|1gB|hAxh?c_M$5;;$
z;od)X$0#mwB+IU#{J2mF<uAzFyuYpjKGZy&UJgl=eU^#3?~pQjQE}<f0cTZEtMTN)
zt4O1p<)51bIf*EF??dh%r_|u;`yb)9+OkNHf8ot?n+h6KQ(uU!B*FcC%{3LCa_E<L
z_?&RE8oDGS99||z0bx<fZTUQTWO9GmA;q4Iv_i%w{dlNQH<g)XIH!OXdO~aEBPeJq
zh%v}me#gU{Cf*j9D53`U!!J7bQW5{Y7cG~MYJdRi<nUUW68aEd<#Az?ifsAgpBul`
zgk^r6f#exHBG%BcTPCQZSB~j~@%`H17!-2rnJxi+dQufVzN(Hs@X*=kZ|Oj%bjQVG
zfkbpA9wh12G>{){+>p?$2WoF5L~Bx2(6JHg87^fFWEj`s<y2?@Z0DzywNq7*otBS@
z&X79F3{@ZWPc#DW%!*nSZ#DG(vq`e6y*k1(80Y`D!}(4b1yUzjNa$w|q|Ag<QHqOF
z&bx;I%;OI1-6u(C^M<p+1s@7JHIurLaMlFun({^Mu946kKD<#Cm9$gupq&`O6y8Qn
z6e&26Pz|?tdI?zt^+;#_QGa6!`*R3aFAS<7kzVTo?VY+OgIEMYHO-)$8^0B+sD@bL
z^Zx6L#v#px2-UW5GdNfJLnWM`iZ05QwdpFzp_}eGOy>D!aQ4bxmF=aSe=RFGX!%kC
zohUQ<BvxPstyq!xtpoz1=a+w0mMVlUJ}c}bMVo;fdq>?@MrEYaQs!yO!iVzl3G0`v
z&0w~@adhmc5-N<QPwO;bK~HQO&jqZT!r!{btg%mV=&H)Yn4g&&v<KDu=dP!kg8zI1
zwQ61-kz7j)-9@Hpy-RZjFY%^e=gxDEtS^T|d)J?4wj<i9jx8;Z3KL+t9dA(}DTBgp
zU+$G}{Ep$W6fO$tm;mo&VmZUO1j?JbwA@`Yjfr0i3`wj7Xg}+$wYOIkU3pWqk+8am
zrB)B@=?8!i^V20yH-*roO`(`p+$zR$X-%U2HU|AytejWv1d!K;c542>AMB2JdnPI0
z7*-?2ed&kz5L5in?w>k;v0()g{dj{BJUg~`cH5F0)qKSqXIlPZ)wHvA=OzqcPtNnV
z^*Zbbom;SY-uf5I9osGVTfh*^^%8a~-(p57)b9uNJ^o@57b5?VtPH^VwN?2CQwAif
zTg$M!VjWv%bzc7!sSkfO4l4)c{-fy}_lhNd{)4Tg99*w`rw2#6L~tVB>ok+>t@zsS
zYnTYF;*tTM9%PGl((^Vg({4$C)zZ&Z%;6v5!?v3)oZ3^-F#cqomVNI~<m}`MW^Vre
zM_!c<9LV0#8Rws(CA?%Gh-F;Cl5(uaKlAB;dnG-lR6IgUK9&{9s=bWiX2<qu1!%+a
zz?6p{=MS2(-;_l9jU_B~*QdhkU0NWKop1Gl=QAztN~qoUl|^hK;Gz9B(1H#Idh2eV
z2HKlRwS02yA~sF97P3^T3D6SK>FAb1O9|Ic5i?oD+81jzpUP>1)#tiLTi>d&o?kaT
z!lW0m`rB;TA@?*Oq(fVLTlxbQaH!<ePq{^GC~}G!6VQMadS}0L-JRGwj=cT|>qYF3
zRtl~wNga;o*!TAmx-lgw%hj9*i&)l`>NI&lb;#hO<fO^|zzke7Dz5P_VNEfn?i}e<
zAewo&J@6jHY~R-n-zZ<gVoy9v3s#`QG_HL$y=WMlspm+r30}rD<}b_Jl~dq3zjC+o
z;3)Q<5MNk-Vg<v$j?PN}3e4ASI(za>U`nriM0rD3vFXsv-<pMFSh;bX;k)@S%pjqz
zvKOsk=}BWA-@cJx#^aMj>Wyh^yL-J)N_`z`scdMRVJE?HUa_V9eZR4xnllueFMlyV
zIq`UZb2V7-QFw2nIFGI0`1|Eh!6ue}j%wp{Llp{iYZ+Vo7BKZbuJaEn{$ZY7T}36W
zDxg_8cPOxJ5xbs0^Ni;*9c0nlg<ld^0p7-$Gn?ki*lUT1u<|;3*pnA@=&K(QW?UAt
z4SQFx%d?d?%w-v&=6s6$a5Di06x@8Z64o%?Dv9=zLMAW*Lh3ga0ysZkt`YZI$3&jc
zyC^!bK*;Nt_ZE|tfoU)OE4R}dm^k&Wo3R!f^wZl!B{3_*m4?ZHhKw!j&itKSQ@{b3
ziSZx#Fg)=5tMM$Nqk|@?j5i_ST);3!IH<X;1S6frx2<gHVegnyQQjXO2ngy@4vJL*
zRf)$l_<9CVK6u>Mq?-@qvm)#2rIes|5Y_{1m|*2oxkQs4KYTG0ju)<11kZ09-{Tos
zU}3yo@7=NhNV88^yzx?mQxvW+u@P2q9=I!SS1$w^UA{(U@`{ijX*#?$#|~PFqr)lX
zA|Mq}>=Q7JgTSM~+m0kI5DfZ~+1M!tcSZIohrPprki#k^B8Lam_--t4;3VOy=WsGx
zH4cWEc^R)3@_}I>v!u^cY1mc2$5*W$2X2iP3)(XLFu#jb_O4PEzWQxW-5bC`?X$GH
z+7|-w<xY0ddy+hu^4(~=C#MKXPdC3G2owTbwe#t&cM8B6(x{*oqX_ha7i9R4h=6lf
zL;n0_MaXD?heBdXusp-V{N=b9EY5yO(zL-t4c|}Eo<1eG{$En(Qi=pbCBKTft4n~*
zUgvkUU-5v~-*=a|ECmDCOy39Ts{oo!k9o#Jfc$EIeHmj}h*hY#b-+dqj9dyYC?^r&
zzGS?CbE+J)EgVwR@Fs(DWPVlI302_paG}?sR{-DLwUbZYP@u<oqdhc<1O|DLjM7(d
zut+Rm>Uu{7jj~8n$3zO)Gcg|1W>kV^+@)Ktwd!Cpn)Ubzn>xH)7xyP8;el)Jw#oZs
z4JdP!K7O}K1N>jVrV7arfZL9tMch&oPOuA<Wh85X#q_Qs{ahkkeA@2i(WD9CyzHHN
zk96SeuO)v=;T=w-Gp&nd(1P8mpAq4U9t<1JiwAqFfnQH-deovO6pktH6_hrF+=`{k
zJUj2*eC#v&Jzf(YIj82P1sKCt`4458a58i&*xyiW)_{uT_lavR0BX<PXy^!0;A3*g
zWXMx>829bl|9EGQ=lt<lX)>iiLSoiMYi%l=9JST_>b2voj~{2wnNwhCaN+LPMH2YF
zGt$X1FoW8PwBWa56qpM;>}SEH0!8=ilkA7g;Qo~J?9T`?(3QJ={yM4zVpw&!p@TUT
z=jKP<xk7@a+QJgXB6%<>xa%O3Y7V*Ws(zXTHCP(ha{nzP1x<Tgc_j1A!94NFx_`0?
z5PRPm#M=wOi~A}{;&JBC7FJU6r-cA9nI?yRC38Wyd${qGl{tJ^K7aq@Pdq&Dm(rut
zp#wcSaVeWAGbpW&`YzX}2!^NIWkT!6G0%rNxqQJp{BWq5cDq#pK9I71k4yB>s$z!C
z-Iq+^^)c+_`8RUVzUSofgFj0&aSN6S_nkgi@NWv>Z^(cwOSb)+)_=59#y-Y>dQCw5
zRoHXOG70c?`t@!+h!JV#yy$MTHUYn1jxG6IqA;$n%rtSF1!Z3>Ck7#avP;)YmvaT-
zGlR?UoEsY=(KUOg=mEIf@v4_!*#%swvIO@>>?lj}*_QDRkJV+y_xY%BL-S9@Qo2JN
zNF%2_aqFTnI4!%qygtAR8HN3!r_(r)>ix=NH*Oh$^vP_s*<FlaYNBJUoy39e44!y=
zwZsq(6g^nwy|jh#SyZh$J8__{7nYR=dknzzQ<aru*$OssQSEsj69;k&O-lxD17PTK
z$2WNW#x@QtT=&mqN2$^3lQGu%FsNA>NSPVL%sdbJ8CbBR?S4CczdL&1heivc*xqB#
z8B4;a7uZnmx0BnZL%QHN7FnV+i)hMbzoy=mvmxb@W8r=}x-hkC>`SvpAMG}m|88n5
z8`3QuX*`px1H6Se%-4L3c41Reg#RiV3aT6CZ(q}f-1W6R&yr_o#;;dADpJ^xmuq9R
z{&8&}9G?P#M+>wY;pfvM+S$+{+azDl4lNMjm=I>ITBc=3DW|!U*pVQsTbQ_o7G%!G
zK5e+WMtjyYzV~A#JF1P1uu-FFLabPZVauMsw6nJ*D%Os1AT5diRwIlx;oqOOgwo+n
znpw0@Dvu5)x-+&U%k@?RY|#X-sP{H)ST`|PU55*m<w$rm?b84)lM%JRB|79L;CU_G
zof~nMif>ncR|kQ(cN6*Q4Cwx$u1DFgc+i?*)W2nab#O37>3+eC$UjtA#8Z|J{iXku
zpT({Y?~@Y;zBVwSM(Lja&TR0Z45FpQXdxAPUA@1SNU)&7?YT^sxn1blX~Bd4Y^dO^
zf`#T>XGJ6DSEjAE_|eAT?2zt`7r(y5x2Q+Yj<$#od%ctdk!HH=<@u)+z{EgeD47F2
zNob5-J1v9;1TzUK9u#<aZlrqNlnaGN`Px~x3#0yl>cwJ(9ba~+JyOBLgObIIdg>2~
zqW!;XBucu;@KsrK+hv0n#nA7o$ypXdKTa*w-@8Nx_ZZ_j9+q9`@AAbfIyDlA96f2&
zP9nqgc(*<#d4BZ0kgp~oTM9X_#StvmNkB3zN#NSySVnH+he1U$h<*HmyUBMFl&all
zx|J@7{6+VkBK(#`T>jq4`@2aXTShhfv@V1e2adLc3GaAiVGz-7o&@Rt73<Cfh#<#+
zRQ25l6;Sy>$=VnK8N6_KzITjbh{4}(?PdlJDck17U5+9{KyyyiWSKb1UEFp?tBPn$
z>M7|OGX*5abnDLtOCpiSrC+05@u<zEKt0Ws0>q4^CmV;Qk!gk8Y)YFl+G-PYyw^s7
z@eut|s<JG?dp$3UG9{ussR-fwN2nkbsr1o_B8Rk|+?p?{Rzc%;I7)79QK6VHwi0YA
zkJ!(--JFwGL)U{3$Ku|oLrDF$pTCO&G8k_2t`8%jIKdxrsgE__<cg8xrOP-Z#v`i4
zjL1kq_sM17JWaTBiS9aUh9Z*dBRG}%QqaX<Yh?OP3-IyhTTzV?qTtV%<A*7z(CI{c
z2$K$s+bvgxw&PK}Ta3x9HWeuik&75ybwOOhti`cg8Sy$)&pkXzMO+@)lhQ4EFho93
z-tm!um>!oWdU#RM$e1_Tc8CAR??{-@Jtm?u&XtGp`cyPW@U?SkHH1zZ-1dy43aVSd
zjtKTrP->bEIn~A(-qf&nPL8P{qlO!2)Xga9?dABrR&OwPY5Agn&Ri7<dHG*FzCuEy
zNqe495&&XbOb+_`siFn{HC`f{8dBqRJ|#mmf!*7JN$bZ|(Ho_bmE~3<diq)&*HC5x
z*W#8tZKYIE(Z|Uqqr=LG!}Z{4e+g6IJ>a^e@JIzIcfe_v8bxG-OIL02F@>_w@FVK;
zM3kl&_wXZ^0{R~S0RR6Kmv=nX-yg^AmA!YidyR{0&(GUPC?iP-5s9d7s5D5@_$t{A
zLRKZBvWn_+$d<jLWF;c9_xSn!d;U0&bKdXwInUQqy7*|-<Wm!96An-3;ZQ(KYj;07
z`$(X@*@3w2I}`YOv2JUUmWaOL?+3MtL=c1A(Xx;ECLr7Sh_v1<kG!MLc6m<oBS%5r
zmgxs3;E4ShCq&DkBIn$9Itkq9c#B@LiK__|UUf-|R+B{$;oLVJec4coUp(QIpb3<4
zeH^1{l13-?DNkt^GN5zU{Esl!83W6T<Vw4T6v8HqRT(y^P-v%QNP@pHD0=?r4qlT$
zf|P?SkN#W5TMVgY1(}WEM?0x*L}M@NzGM*;`EM3iaH6}boCy%4BdnMhD~f0vaL?Y=
zF}(jT=02$d@b6*o02P}sDhlBCe7n+zb5gl5{z}Cl+skIJWuX8%HL+a+bdC7XV64JM
zqY)hZoL=64g%9}_K0mlB_ZE*HvOV9wZU~;7PMxpL^B}td4)eoy(b%8u+>Cc5L(o#x
z<qJyWLOzC*;XjyOVb?Yij_f;S0LeF|^1s(`pd8J|jrPZ1VV3XpY^Zbeq3Hoe5q-~!
z_CHzFpoBigBs0lNLKAvm|K~c}$xUYDC*)kCEtia+%d)3WR@H;U`^CAQJzzuwh8|lB
zfn|8i+K-0wVY<*?D<`UYnjU>y2rFQ#uEAHcR+DeE>p(Y;4wrHiEn=8F+dF-=4foEl
zw#gvs0LvRym!v<`$a>O$YCF6KpD&xX%(<-%IvM#-f^SlxomYBOwH-fj&v}Oq&j~G<
zNl!aX^L!hx63ky?D;UOWzVLCsw$Xy?ws!lxUu@#6l=18)#xeZUiwMl)gC?9+TYvbJ
zW&<b7yHHC8P2fx%OG-`zO_&NQ4x27q!vm%6e$xFng%f2Ru3bpcfM+lA{&Rl0iYG5i
zo;w%%56@l-N_)z!0jHdJ&*zS<;J3~ER{~?_@L%8VmzPAVL;MjT<})W&@I!RLabo8d
za5=(QY(A?x_}BCluL`Z;&8@*ZS#C@CTSJqRlo&EtsT+lOFs<NH3eU|$j<4XSOU>36
z_{b2JV|)L+!U}G~5PCH{WDRe*v7Vy*Obz^3jw|JbuHeabJsm8sH*nHR3wr^Q8vOBU
zR@A0i#TnBtde>5K<F}*eMGA3McrCP0Ir3%|_e$)V8Z@Lrw)__ktvINH&EbLpftWSC
zWH2F9HI^FXeK~Mq=DP|Q569{DCa>cc8+HztuhSsYg=bqA`BdPLz4Vcyt_|D>*-0dZ
z(;>&F7fT8pNg#RK?&Md)EgV0E5m;my5V0>HvN2s5l;xTYn|rtMxNz?JXH$&moAyjJ
z=bRE;8cB~2wx>cT-T3+izA+<)lU+>Tt(3rUjzNF=Fg2PwZ<2OqW)BjXAAFzkS`iet
z=w@cm(;&}|p7tR!JK7L<#5yFT2s@<kr4t3T$Z=A#Xw`ue*~#2nITEV?ZbIEoetYOq
z-`<H>m3%HFYSNwA&ZPk2B=J)L_ZU$7*QAViNgi~A!HV4>oe0~JJ#YEcn9!}14XO`i
zyr?WAyMkMf2qlv)95y@5=<9PM{e$QEkwJM<NcboLG>2ov_15+v$qU50TXupd505^4
zG?f4n@y6*IQtYT+HAe2DvoOLE7E81I2+%)dFfwAqiRi6t{f(nV(SV8g{WdEC9CGH;
zZo0#TF4n~~7R-nvfu(EW#ij(%OYB}RnC3>W?7Jtra0wJZUeilGN&tra375PBc@cMl
z@nDsN6mtE0?alEh0^HL5FC<TZA04>PCE%7Ujov07{OLYKfFkYD1pYw*bWy5XdB2h@
z+RBSRmgr7|Q*B+T(+xt%`D(PMQ@0$FcXnHhVNn43CmS1#eIn>tyX&%R0s#%*&(uFN
zsQ_<6zvrZ~ilY$A)Uf6g3aGcqvGW6+65t*;R~X0=sH$9GG}K55IUhu)%{`Q1<>2_g
z=ChJ$bi<5dv6qB?&qX}=POAc5F?ViqR!AYUjl#r_8!E^pvngThiYjQOyL@!zl|jb8
zc#CF6RZ;KwXY>42HK2_832R@HMe?>xapC1^=$Tpt|N0aeTG>t+Ec}#1>3-5P3n66W
z`zv==&PM~xnr0;*?jxYs>p+R)Q%8jy5q>!=TEJjS%g~rbMA5&tYvymMBZXp@#B1H!
zFhkB3o}N`ezaIT|d5Nnd79Q3o-T3Z*wf|p$nY0oTZx!Az`avBTDL9Y6$MwNpfSu1p
zRT*8>`&*xVS{)^JAJY=9H-z{TGJo%~k&sEz@vs-IWb{kPI@6{B1KZ<E2j09PAqSgS
z!?bZV6uRxAx%CYo!#cR1ic19@s2$U(DOE+SJUfh9?~Os`fsc8kybAK<G1m&cPeQSx
zbvfc!Ou!%`RY+-$gpyr7qJ{S>BAv1GhMNMW@cw<K==}f^dZnqK-uqb|N%auo^rB56
zKAOt+<5Oj1so<sJBq)PaEkZwZ_L{<#kNLmr?<k?PA0+9{OA=_}ae}-1swsqX5EO#7
z6p?VziQ32wAtdf;#8EwG3N~`ql*>g#6tVfds^u;ZGW}tcTU>7nPixT6w=4uy=5Q+S
z<K;c5L$Qpq5@8BHZdSOyg&g{#NhLPsLXGN|42CP@Oo658%)-Y@GH8(^J>hhB4rerU
zr=l-6fr%p_@oiaBC^7!wdP`3uzJ4=C-^j!Su2hPnoNft(pDiv@Vj0377$eE8FUHVv
z-bOWrD2~>vBF1V4XE6i!^Qn_2#*h}sa?-O!7_oSt;2*lXg55ZAysDuRz=WqP%Pdm>
zZ7TfIR64qeIZ8S1k23+-bAid4J&zaNVhsEACT#~J{Yx<yjm99+d9{G;FBh`3Ghe#e
zLj{Mq>HIiTjUc?O^$UG7I~vw=@rd-IhMy)T&GjXQps{ED0*3|*dRTjdV3$Y@`RL;K
z&0Yi0XXbSsW@bRQX@Ay8Mo>fBTh1<N8UtvMPK`6Oq(RNMlnzW8Q^PT@EggGJeP9>5
zFnp?a3m31HRsH;n3IyC69g`_~a91_x_RG!{{O!X|DXS1F_&HF|akWSn7%Z5Qaxcx}
zhuObcyD?HhVZ_CEfm=H8dbuof(q{^%(B7c?sIi0j`@WN9u+f1{`9xXYnGrmH;lozo
zxoymh(%M>`tqtMwxkq=Jd+`6NpEKXD-@;rw3@xmvwZTl<Aa3Dn6>i=C;+M+)EiA#r
z?U|967F_$%I>>)78=J6GUrL<a#F!HUdXF?}LVR;br(Q}UMrkVMzEZ!5&DVtv*=T7(
zZ2qyJu<ag<&=(^U-M)zh?dP~Y|6Bw9W?020whdw<ZdIy?Z40~U`CXP<R09Y*_gYRb
zk7Bc5i(O*EwlMdC=DFKR>Tu=dn~SGEj$_i#`DOHEx3RKhVyh~TI*g9SQbit^!k&gr
zGS1WNU{`+Hwk{=-AwQVLF{)?=`y#6$8_r4v32&I+Rtl5B^`@`tf7EjryHd1uU@;Xe
z#E&N5%2tDI=}PX_ta+?WwSGzK3N?7#G-S{rtHDI}GumI~ix|sNxc#_04a_Pv^>uyO
z<tdTAxO8?2`;SKMNskvTP-f@fxjCx>Ji}T3K3~Cx?v=GYj-mtfNBUFom<l}24CGum
zyM}Q}r(I&|rib{;Tl7T|Dp1i;I4fYYfk`{Csvg+K2rtfRY>jx4pn+?AEy;2Vo8QBE
zzk7fQ&Pc@XL=^7ww9+=}rOytwzSy~XCW8gC|Av1Uqg95+kn{f5-Bh6E7MxE?V1@P(
zL!S$tO5oAqr|Zu~1G+!@oo|=2gO$qdw`KK;pcI*>6XH$_WdY9FDR(#l-sm5)*HeUT
zYErOE6CI?Ko|b&o#sxZterGw$6ks}!5d@DiK%$4LWvUJj@LF^)O<)R;T2tKgosJ1;
zkA0`BuH=QTS&eb}9wOxC&M7YSGK1SI-N9RD`JugjyX5N?BB*-L`uBJ4f!odtgGY@8
zAu-FMc3g!B9>I!SvYTw+(N@@+Zy*emkU^?LD+D;;N+6gkaDtBAg$IKtL?Iz>(Zj8i
z0OC1Yp=T&ukhY9|@Rf=KT?IwEp_Tv?qk9|YI=JD~n0gQEQweY}vUpM5MS#lwl^#WV
zUZ6P<>dmtx2@~@|(K}Q`u#GME@tNa;KHF0LBR<kFwoXhevL%8XlO0dlTLI9YIe+Bx
zKN+xM9?X7Kv%9W%;JtsM5VS3L9zPi)2dPgff|#!Y2ue#DpG+2kjfVtd8Z!dO94sW;
z8!Ez+OH&?GU&P>SVLQ_bvjS{(@H=T7P=bL9F>`$;33$=<;Louiir}&E{nX{h$}rB8
zw62Xw!a2hqihjk)@IxZ5?wz6vh<R=)1mBW^$7!W(#Q#*FH*#D(@|G&x4o}?7`X&vP
z4&3c2FI3?>tzA&}E;l#r^F6{eWkKuhFU;<m8dzH=^+gYnftIyk^Wh^oSUTT+;*uU2
zOea5A%h_l^ag9+btjWU{%1HK?Z)8x&sMc~A(*!Rawbbi}iMxF_G9z27L*~9Jh|JUm
z?%KwA-ZTYZ)n5Iaxtn+U{~DK{y{-#|pBX;AYE^_EMNu^`W7Xk8%Jcq~Kz(3nJM2gN
zsRXOWOE;r!)Il)2W7dme2$%Com=3NCd6lD%C#%TdUG%Nxupb7L&0k7mz9eua_quaT
zsezX3t*Nl*09Q6wM}0a-U}ZdgZ?Z`hyjS%>^p-LF8`F&)T_k~8T5E+!KM7cV$Z`i*
zn1H``S%Ab>5`?FJF03t41ZuqMaOR&~9~{bV+uF^o4?iY*TJGksMd{|5NiS2#zHH)~
z`$!o+h35xVl*@qS(1r27;$41GQarCED8cqX%V>atBpe8pO1=BT6dueHjz`%mLP4?m
z>jOa|(Bynx(S5)am{j^(7k&~!gY#vbCIcU2#mD9*RG0$8V`piB-T9dM8$rqPV~69v
zweH1TGlet6dbiKfa?s~j+LBJ9gW2~E3Ff=pe9EroaH38I@}ys+c@HjQ7H;3%6F!?j
zuw6)c;)WFD6Yl@acs_&)A0dl;x7xigSIX=obxA-;=gR)xZo*A2?m?ehcRjS3;r789
zaTtj&`Fhpu4<093xPQma7&1#_u77$g0tdBU$%~XM;00n15Z1n1XUn9k+2;gdSUu>;
z?cP<K{`aR~`@;YMbXcI}Wj=^+_cvAb-Nc(dXFq5u#NZvjBJITw+@NeR^yXX9Hh#wP
z_`DG^0!afA>+fou@Yyle@Y>D}u5+e<dit9o2tWCcd$xKHY(0HzlVeJSgwoMz{dEKI
zm5jPEo4^QqMM04!7!`{COgu)AF#y9OPO*GnX<__x;hPmkDrAx_dn3?MACj1D<By!8
zf_h>zLz4Rr?jAkvRvfDb$~$6~!JpQ#mOpv5#kaTd+=pG^mpXJ|sJEMV=g1Of@$Ou3
zY1$V4D!SdnSVR|CzLq4My)%oI)6ohEzTd>JD>eA0oYsMvJ4?>z?o41gUJtS@hBolB
zQL0!0qz$f(k7kpWhcHad(bHdY1Fz`B;_XGWVe#Q)-|Mh0Oy>)wn&##@E_UH{^5Ru3
zaNQBVLoZZ`iD~ES-DFwEyV?0S-wbQQo6hBE+TYJ`oq>n1S}WFYCygSneFrt6n(<02
za<0QwjSl_Ic(R7ikiFVMDl~vUUH<x_Z5OV>+nF<*vxX;p7Y!3u(SYBa)@5O&A9#As
z;=<JM8qRE6J3{qB9sXpU+x}WQjL)*4kZrM9$FDNge`S(Z2Oc7w<Wqq${N$h2<O|d5
zc;M8bJl-raNWOg=t!X)duN<S~_I%#JMJmN;S>?&#A-v|*=RAdD?x**%R&U}yS&uos
z7pOs2sK4<`#~GYr*z%pSy@gwsvc?4Jse!xaoxtBYv-rVpKk|yt?cmH$CEnLHsDeuD
zSh>B_Jno>JU9o(h3SFG?KicK03Wlo0sim9+oFmS$q2oF=;%7KVB#o;;Pb|0njOG$9
zalUJQA#T_IQgtfjMO8qkw%4B2yNnA*yJ^VQ(4s3`3xc^$BskikYx>~9D*n3sZr)W9
zdL(ISAkq0$8Dw7E@E!12#~Y1VvRxiAAYa#6+MWp|$V^ybpSRz{Z;cSeF6lF&AKVtP
z3kFKSWfxld-ftV9_slKnXJJ9~nX$YPPZS~A`G<_;5h^sfk<mWJ#EQ;VM}GgetpK5^
zdN~vKsgYd%PJx{+JE}GCx2Zd$017qM<MTgh5NF}$RX#gT1izQR7yTwetFIxmj13*~
zsg6nh`-}^{{we$U&S@ez@l<Es9iT_)zgM#EaPgplpvVf7bprfgZR2o`WkijAHojij
zyh#1^)g7Tn1R(m`s%`i&BOksPdO=ry^iSrF<P8%7+?yoZ(45_aY-gu3t@Q=bDTj>H
z8r$-ak=Jae^o$LCDE?`cZzhZy&2KrGeU*o$`RaCM8cw8GKILC?MHI0!S(r%`%7add
z&OviqE|m1lOmk^a9I-?UPQ1>QhnBFQ$P*v9Q7F}&9?=R36d_Y*VT#KG_d4gkFcV(H
zyj5{4Y_Ak*4v`S5Uyz5Ze8<y5|MH>Pd!7!ysnX~!*JanT0|YRoR}AL=Ab>>N)P|xo
zWD&1#sS5Ec0kqy7`28+d2rcx~HP?^IA$num`Oe+^u&U6ZbpRJZh7-JPOD_p%|3Shy
zjk^N)N7WB&u8W~Hgf&NnD<JmOHto=Bim;w%AGE9_fecPl#_Ucip;na!#-jsDz&`S8
z$!ph7*A}wV80|>tp^u1h&K(kfFNvuKmqI#s*ck4JsG`GvnA91JcR3Sh%+@b1gKEXR
zKe92Zp$0*6CzqcZ9Fp%-oVp{6V!Zj<SVz^+s&<5R*C#TZJQfgUu`Gu;;#{{=o|Dl?
z{iMnlOamyyrr9np0?O~|#dG(oqnBDWcig8n!P?u(fVqK)B4a}veJa$EZfQ|SW|cOa
zJl{D+EvASv9_W3VUsgx@{39jz-|IpQWk|E=h!S#nXm-kKRvitTsDIp9tq&GiRsXDf
zmC>0Nr%=CibyR-$lJ{(%Ax!i{9jme=A@48}=k*;jI&7-#oIH+!8-L$Y@;?$fBcp3h
z!%0T!=9EuE(*PY8JO)baRCc}6y5e-VD!R9Nb?;8QF{l|<U`jqJXyI|$+1z&|^d~U1
zG3Sv9RBdE-GbyPchETiw;lqk(_5Q^pBig2LSaN%&DuaaXC$gtUy_H9|f}ch)7np*{
zMT<XPjmoHI&BkSPP8#hwWNaz5>!Bi<8^|VK2{mecuZq%>K-=y~?z8-6K-I9-^v+HZ
z^*_5J!Qvu>1UUC_WU`ro^Ld`=$|@oPyIYk<>bX(4>N{L}*c5KwmR+c0Cm^#!H0N}h
zn32ZB(t(CYra-ZK`{97G9C{gD8<8x!gL7O~y3o9PPP5odqy0WI$chlUE%0;-&uo7Y
ze7(*D7TW{16YfeOs));u!7r0BKc-V(08K!$zt0~u0do<vL;t;%K>0rh_S}vd$5Qh(
zM(vt*J(SC3_;I@!qVpc<v5i^89O|MLTJ{@5flYaNyst2-|LZ_rmDs@cB^%imR0CxF
zUF}Lx6+odxnZmNJ9n80fb>B}@06K2V+n~aWBwxj?e+Z`rTa6>O#=CynJN55I*(om6
zAMuLu^i>+jJuT?snPLRX60rojQa042cI;o?77bWfuWL2G`+wiL9B8<h(V-pshkdfN
zKv#WsDX-H2%J;{UGk?$_u)%Auv(bW)`i64TmOdPkvtc#ip++?yTWZT1XkaKb+USd_
zK4_Hb%Pt(-z&+XpFK7DGfMf9DA+7*DU`SQ4k+WLD!*!l8&r;EVt3i(pu}~Kr{Zymh
zRsO?u_Wm63+4W+h0o~y6H60NDV^PVx_cw09VIY2jL=DwIRi9*~10~!vEFkb5H=J=_
zG~M->q&k-Eg$!+Y|3>E8p7c7LJ6w~gKbi`rKJ?_N?`T1rF_NNkNyS>yj_Va4qk=TO
zXxR-<E%@0#M*BeOE4G-I9B|f{3VK_<eBNr%ggIZ2)_TD{Ou;@ob_S?Gxn%j(`mUcA
zO&k2}d@zh93BPuGyt|LUe%i{4mm1*r+$N}5?l+c5pT-^%PX(JQUk>o@-Q{fMOt_2R
zB<A{o<MPShRG`-oKsEG49omE|d)oYFFg!-^jf4|5I6kV7rx8*I<~V`s4beGF^5CkO
z-vl-Id{5f(eoBT)(u9%V(mb{i7{JH%m<Gm13mn&^$>22IsoPP#h`m^EzOcua7ET*K
z@+>V>gD!{0b?t;@Ebqlf@5|0~FmsQy{t2cA_|I<f37=JrNmlo0(HVLes%-o7qH~wC
z@&DrF&DXJdmJ95Mo-=?H*6Q-tUlq=p418JE+QjsnhMH99nZV99^zjuYRbZH<8<oYj
zvC^3!kxTcP!G0lXX~13uSS~zWQz!4%@gJY<Q=>gFZFa74FqH)QPmb7-9jPIEO8tem
zI2%Njyu9W<uM9&QNB4U_pn)=L0ovar4&e39_x)z440T>Evabec!B3+3chv_@XuYiX
zX7Ym)<W1ra7R~A5TUJ!>`U)336ropfBq;&g@QDq}W(GJ`Hk{AzzypS2lP2_qia;M{
z_^mOB3BCsCnW?t%Lj35;CGK6%in!%2P;AHoSByn>F75iJAK@mUtxo~UYO`vOlURYk
z6S_lG69my@LH_pJ3P2t^C~s=X4*u9C@w%`uq@n8zbNdv)L)-W3q6H@;4l;dytRxB%
zQq{;yNC94^(0y9E#Ra4qTfUQi;_zuAqpXxx0VoH~ET0?ThPMR_GlqT=AZkVHFvh3=
zuRlfd$sFQ^ST^tJOU07lWO(PJJ5d3SRmz_EFv15@A%Rj+{L+xLuO)yZKmmlkP~EEp
z0r;N$yHY4d224#2ZuoR5z~oU8P(CRHo}!E+!eVmpNbjWkkyDDG8+KZr(@6vpCbZ;J
zKFh<sVAbd53QExBw4XXDKn$EZ90VdMM6j2TxyK}}3}w~qKaDc?!flJL2aY5~c>h?x
zFy|-<5?qofUpFM+>a@q(kvS#Um-UNYzGXLG6$T$(*N}p<o)mkUA`+01+f~t8RhYW=
z!!GWMG`#FkO)FI2ohRm(E=QZxfMX&GOKgyV-=l}!h}3Fe6)<pvvPuU1^ix9HyXQ6)
zl^VNLt_G6++YC$A8gO65F7tVyJQT)8ipd=%!=CqVvql?t->G*@xJD%bI6E?u*jvc(
zjnz_0FF+e?ZCWrH8U=WKLEq>*pE`WvmZ*QAqzhv8(;HJtieMG~DE7UqI@C6IGd0ob
z!;2TURZMi0Kz_c@RAZS8zj?!sON<*p()z`(QNqg5evBWHBX)iG_}_7x1|wJ#A(MO?
zmEoi-9bI3Y8ldgIbI+{-6w<k*d@vF`d39X~+s&^(bvDPJ%NfHNkFm$E14*F5->wxZ
zqynOOzMD)F#vnOCSDt&E1V&;;FD~mUf%x14k#NrhLXA@_Zqe;}Xw!|rHZ~&UcY25J
zu<UxG#0@V06UwlZCOf)QA`3KXL4VS`O+old4upm(L5QJLPNBUNXz?FXbKT_^gNE?N
zO;<%=8@D`jnqC}QGhAN3&o+gn;Xq*zCIzrR9#JG)DF8f)-{R<FO~G5Po!#jk0Rk<*
zO~+Gn!|Nnj+5tCH_;8{0xzns1xH_>fUae*ZMaqA#?(vwyQS%!K#wM~rm+g=EN2%Z+
zr5_?oO`vkP@to~FX`p$^IOowYk1fhYkIo!0fl1F+@z-6Fuvjdk+dI~Wu};T@xPCK+
z2Y<AyNOBUuX>5e|jWyzK*5=cx$Bp4h39t7_Rxya|4vPA>I)*#uj#EDT0`PL_Z!%dB
zf@QIoH(%b&;$yrjx=VflwsYmZj7$PB%`5z1u4WM*Y1WATIgEirZd2+ZTV4?Mjfs`G
zwSxNzMbcedGJ-&wD$a~1F7O(SEjXpNhUXX@<K5vf0++i7swf-mpj|WV;lQwt$L=)z
zmLnTNWL)mTWCIIOs&&qIYOmwo29ci$t_E<nH|L+_4g+XWn|kuiuHpSh>#7%`^`Uuf
z^1#D~w7@ObQGM584d=O4Gq}G_556of%2fYH1=N?17RyAe;_8aQC5?=FFyHqgP(6DC
z)3{m6e>rvqmxlEH{I<KkIVdwi+rEsIzZd1^i(kgA8B!irJ=Fnsj%$CP+?&U2=(0N;
zl9q6jj;nG0v)b^b%R%tgy=jb(Q~aS=&LS>Su;x{4sSQEzlw-n1e`8EsaXpa@3pm-g
zebwTn7HFIjsh*`9#>n?%Mm?Dp@JYU9`=5KXAV7bs;zB_$X8U%bpz-89ZZvp9ogAzQ
zmVy#vpV^wRCDu*<&|h=7<Xopa%diHhww}I5$ohb_8*feO+@8agCPm+?+iO7h{aU&I
z4oBgPDI4GD56<D+Qx6?))Tu+#Cr{>Wy-)c51dpjetvS5il#<&7>R=FN?*9B}BVHf<
zWx8hH99~~vUh;1@C)@FzzRY%~1II&|uS#E;!$U5)2DKQG;eP-C0RR6CmuDcAeH6fL
zS=l>#T=#OX>)Na57};sqQdvccNJ$By!Ye8yQIV`dQIS!eKZy!ui;R-YQ1;B*_w(h<
z-}y<o4wOw^?8O%rj%+>c{DX)2i(1*dRReDq+LhB%19)6ryhrZAdAz#tVaa}LHE7f>
z5!k)w8~%<M@%q%tJYFdt-}A1A3QD78UzmMIa2rXxm8bO!c&u65?et?*a5`ra3sIwZ
z-*d}=!{v*(Bk4_4;G8OO*r{xvyE}$E@()_qwJqVtFBbWd#Z)16bVEMBasod!RAzBS
zXayf|dD^$%ngXu3@tr5erf|Cp(QZ|7tN08Locs_?2C*w86<nklT!B5HW0bg#yEL8u
znt)WGn4Zq`)qit1|ML!UrmYP;w_^5V3X=+O_{PS(X8nVI*cViAoB1!!Bz?SO)K(b|
z@k<m`9-YVS$HdOJ$<ZN7Nc75oStKC8NqF$5Z2=b@ay&8YMUUL~tEb#wCc<Ni|2X03
z5<Vv6OTP7v0f`ZY^D%oO6x@~)FyFa?=Y~x6wOKQv^ij3ioJu8VA+kOR8d=3(iVQs-
zUSmcQYH`Qe<dwj5XM7Fkw{<)~r{}CoCoAeo^0xn&Mu1jlHoaz!Eqt`tvt4I^4TUzz
zDckcBpsC+(w$g7K7uQXS>lfif&!5qlXsL=&SDt=BmYyDEcXJPJC+<Y)iqu{nX+=1g
zn_R7MiUCcl3|#Wb=0Q&v+$Y|ZE5O&9HkBJ|j7SG>vGo<_Lqk`UjypOkfR9m{Y-2Gq
zvfAz*Tdd|s_BNdEbc_nHqAZwwCY}`yY1~{PL<=IFyWe2X8+i~*o?8u1VMAT?#&`72
z3ZrOc!{1BS<RQBHJPYq<4petS!0=qEC=#a+dk&uR@btqZ+YQ)>6o;IeMaRU^@|}Z?
z=zu(gd`n_53*kYF%TX6hPf4O1t2${noaMn_UrqSXG%xxP-yZrcRT>@H^x|{6C=Uq#
z%o`ZPj|^r+b$oeb(N>AcG4C3AC>IIbyB8Bgc>~$^10KsEwvZ!_s-zXbG|RyuS4J4^
zf6G+E;jVz})sI>4Dpi14@=V4N6;Y(qQ(P9NPC&i9zZ@k36@g#0$avXZ9La>d{L>~w
zL@$ZsT0*`A2;HY*g&_&#ujezBMo>lvU;BFtWGjK4aDXeXf;8f@x3fNuk&$*|t5uOS
z2~@Qk9r7Y%kn4re^#Bi5^vL67OwPPAWc;!Ed30J9-TK;yU9O{|=cku6&Ph_>??q0I
zH@@=d!n-<Vo@O;<<Wlyn*?|fy=?|)w<`s~G$Lzz04K$RT5-CypSq*%x&x<u(A)tzf
ztjz_F)Y1Ig#sN}<I_wneWHl8gqUIA<{TSRdkj@t!jjp4baA3Cgcg;f*qR&Zw6aGyD
zX*Kney#uvDIYy_wK~x15>2os{$!Ve$Vi>8eKo|V>JxT}(CZoPqCT$^6O>}RgLFnO{
zKGd^)asBa-f{rb!Yc*A9pzG^Ty{<d#2Jx!Df7<V;qMUO(8on*7qmfAW%vw7DirFBO
zi#!#z4fDGT^wAJ^amIN1DI@qC*BaYzPeuCgEd`Rj)X=^fNnTz*W0+)&*cI$TMZ5{^
zBW7l*sK=|9{g;sml*SkDVW(2jqd7N&M0;h#&U$r0>X!)w@P$&m%2d&+`7QYhNdn@S
zK0~YVGKEK{7PUN!D2V9w%h{_-7DdLcTRRt+LTKQe_+v*hqLi}K{n;adP9OHs*->Q*
z^zsGn%(yc0NFK2X^%O)+DuW#8z9|H<+^qJRC!)cKh`1L)oG4moB`w&^6x^yTi*mLJ
z=)|zZ@0H4J{OPvxbN($8Xue>fd~rzuHQ2{gRAh|e(a6OvC)Na#3hs2@`7Vc6LH5Se
z*g@<i+nJByj3)4Wa>Qc$vkY492+a>jSi+!nllymwF?i1}{ylnI3gz1$R9ZEmgD*Xk
zTz|)mfN7VfIrj^3G%EH<81rC)M(OLtzD`D<Z+qW3k4Xf<9(lI~2UdVdN5xMc0kFtj
z*vc&dlq_eUJ>$#<U0XxNUyT96__O@ekMg3zl;Mt&d+e|p!E&D^3WJL^d}VDzoGA0H
zp2);r4#*Sr`QR3}8z3dDYj-p&l6&<gbTgR)*4S-#wr3iGn=(s4b{+$|8d6RXxXuB^
z3S>LR8UslBbF{|u>L$L~Nc73D;{Z+_y~F!{>O&8l{muMn5ieNQcO3o84)h~_iho4)
zVd?cs-Vym}{I=7k=;Q--ILsYmDdDUKb^CG>=l>4i&}tLB4D68l{nJsNEL}hiRo95o
zRk*<cY}{#%4d9+#r|_%}%vR`*{F{F4g&*tr=`uE0SXZT{nd-pt{_;T;)^C`FTUugH
z5*zqtI>s{PXoKpfLsT8z2~643u3|2p4cspsVV`H#h6^d0i<X6RnDpSnQ`rJGu#zB^
zF$8J>a_aw}tha!L^(%dTIl%_0mAxS|!<yh!eP|}>@G{oP5!o5LpB)_iZpUAA(1bU=
zEiL>uYglgmtu2vn>=2xNAup;;1Cmxmlh5#NV#K3ot)8TFK-^n{>WTdt5To7N;`911
zcFfPg%qxr&I5WDZb9&Svp*d~M`w1P0nxgl9@m%oe5N+|9hdOY-RY-1|r-z1xtS9Sl
zcfzTFH)G=SG&q%}JuhXz2wl$i3EDzD&|Q&dw;fA^Pq)k_O8#R48`q8liX%L5UGz^=
zq#O;-+VZ?k9$^L}vnBe1MqcoWKUvV$pa%7AKF-g~SwY>QTKZW7AB0|CKCE#{4HD0<
z9e?#^2ebuD`tBX%hv*X$V_TwXpc7^$qG!PlERY(O&npN8HPt!EpQy0ans(sv6bJN~
zguI#a6oQ1=__$O5Q9(26!QzoZF34WqD)Q+NhNe8T<XyH@U>vuZ%(}u2v#|`i)*hm8
zoxFW+uNW1s?^y)fIvz;86q?z@BMw$o?}ZbGRiP`+YN(=v7g|bcM#jJI0(R$tjKK%0
zu;{FCoOP8CX42xr!n-9wOg8p<)>&0(jmQ^&OcQ|2N_2!iL>gig*Tbk@ssMb-LlZHA
zuw^1;R+B6Pi(5)52L7s`J@bhD*DoQU_&()HN3vk*n^1^utHQU6s@8`AB49SFBh&p?
z4lXA(^09qWg_NuOKBa78kU3S?AZw!lJ6vCU?IutmsOtLU;aYK^-i_yo%2xy}v&-d%
zXQ?1OC@+8Zx&(An2X~5cC_y4AL0Pw#3X_MO?@I+s!GVMSkpx1BU>thn*!zQOkaOtC
zs&}O{xFnow4IUwZt^1L|o(VNL*=&r3*2%!{GbZyhmMXv-Dy}V_Ndr!E$K=fpSy<?%
zqwmTkLwp{~rx`zW5G<8hkC~DKvn-7qjwuQ-dUH(*x@f@t{Pe%Sm=r+BMArHiD;18h
ztA0v4rU~if{*w-pig2G_zue>s73Qv8=rq5f1@Ba*#sz5vs0*7EULB=^c75)j(N1kh
z9k12-sHX(-%1y-=<<#Kvel?~zRbAjFbaVO9h>$y3bMd#X8a&eWFfO^L2TrZ84xi&A
z!KtD3XZHW%1=6p*RTMCQpPEcHnq4I5G0#t<AE3f)(oJFGL_^SEJLSP2qzoXKN6_@7
zLd-QQYpK7xp{cdhd2K`)^10gT*G{RzaIxd~E((D5L-t@KuL7knw*|&uk>NVEStaok
zK(FGpx!W`qActLRi6~WusT{$`8;6WQ_iZ!Z0d^Ib_c+pc^EeU0D)|GY+KoV!?9pCS
zqzu79f2Zwd6hVn@UCB|!7;O3_M;t_yA>JTde%eJIM)z?uKR9U&u0e`*Lv|$i`N|=z
z<X?Z(?GuT0NygyRlc0UUiwGu4eJ+YYlJHoEaK0nW7}#Ct!n5}(!6CX?QdO2HxCZ{E
zU%6@w=WCT4pNJA*<i454A(9{@ZS9v3KWYrA`UxJ6pB13C`;wc5JTJU|?KYjIU<?^g
z7y=K6$U|SR-f*lM2b`Umx8NEyg4eT30ir^35QRQ$;KIyc@x!5_EzSrIeGKI@D3^h&
z&4N<Hv)h<mz~@#j6(it#$aEyjMH)7(HG|K_u3!tIKe?km01VZ9zUIUu31vy|mv}mV
zWAeSpOu=3N9i$sKa^l57USyxzL5p!L;^bxXz!eN+m^8N}6+~ey%xhFhX&CE>;A9FW
zV2~ZvCdM-^1RQTWL~QnVVc*MbC74}yLvTHNq-uu%(1|J9^kjX+USHbV`S4%g%Q_S*
zevb1&&hscG)Af2REKJ(RqR{}Jt0uT!QQ`&h!nSU)D1<RHrL*2;{KumU4y>Ds+;GW|
zA&Nq-$2KP)70>L^hqHaxL)7<i!e}gyQj=s8ron#VbU>mWJdpb0X4J?AbGr_mdy@GH
zbAM`dRi<AT7GrJYIpSF1+my)W4wfz~HBH@RMOhbWt2RS8ZZbn!fY$khus-ZaNQ!r7
zv<`%31YC*hV}$y(*%ucghq04S4*Mq$X+w@(*BSgM1Bj_@b33k#U{6JkH0;E*;j8&+
zQx-{j5M_$(-F6zo@@!{V<#M$Ev&xG5$xR1W=L>du_f2Ab?o+)*T>p5)ciGm_^Dkyj
zADdMfGK10fA83mU(*(EOH#TQCHnDl_tQ-7yeq+D>sn`7(4PZKaxhLW01~wB`v`_K!
zJXSeHbp7n50X-`&K|e$`FgxZ*()jsBOz+hxXZ9g==&Tk>2)wzD`3hE3qAo9EveBBS
z4cye>QM#+{8S`~)YTH}5``#+n!o~B|X@~}?>-!0ly6af00IS21wskBeK(F?oHw|Lg
z=?0R$*Rf^xZ{H=Qwy-<Hw&sLcHE<%jb^K^p$L_d`PTox1#x6)a{nHty1{Z~W80cL#
zu<^5(ifwu5p;v3}$005?=-;R5SS7WIt@<mNHU}_(dz^Y;Qw|lLC6kXwifmz6NjjhS
zPey3A_N<mSpn@S=$ZIc?znEb0>mJ(>W+?gljF<O?D)6YBYT|yljhVOkyA~_3!jNlA
zyyP+k+Enry-S5%?Jl!Kvy1WDUW*NL*8&RM!{V2D5I6YjmE|uY)VTbfCP24h#3|2in
z|2CBY^gj8VtmNbZqdm9V4Hs2lb!t(<FM|<+KTwOiUASQ<2rnwTslf2=U)f^4Oh7*O
z9FG0sfrVq9XWoBO2FuDv?{;dkz~;kXBx247)_m8bXKj>WY}F_IY6UASMY-{v#QC9E
zE3PxQmjs(zYqY<I*}(ODhkCb@Ak^gBepU)3!9&WS6b%XoTr{n>`N}5@0a%Rof-ngt
za?X6+MdAWIqyIkAEr<Z2K>XU<HX_tUq*@QybHi)d$@o|6V!)H#zw-DV5d!mHB@KV!
z0TeXw%tA#1Y->I0`67tmNfH+kl;wj02KA)!cqtHKuzcNqo(NgH)$hNJ<%eDyO(%19
z894oY&v$Yn5j3-}ucdMb0)^-sJbYXhRyfxirt65{80kk9dL{&dA=<LJ{c_;n7<$t|
zj0B~P6shcB5vbDYby@XR00p{x3A-~%knuYHfv&3<>?O#Y2w)<BS)Y5*wxu#8UL9Bt
z^4bMOT&3FAE0kcq`Oc(|iVC!?u9wknNW$&TCW+YdB=`dy|7BZ{VJWmw%rrn6`nyoc
znvn{unH=m}$)$kR@9amVxiT>JMpPkvCk1Hd_lkd%qe3d*f4*{)vOpsl1y6UX!fX8!
z2L^F9XkLF8%Bm|5y`djHx!+QORrdm?qaF=j4bJ<&zo`J4!zruh6V!mpXx+{bqYlhv
zn_H#Rijd9|7(M+jE{R}X{9{q$-#!1p+hw8zJu!E44d2tCZID>Gny3Zy6u)}bWFm-f
z<I@d9bx4bLr_EdHKrB%)Y`v8P2OLzNZ91sKX`QIL4jDc8eeMg7->fo(>z^2NHB|>a
z@DQ%&Fo435ah>Q%6|iOT>9Crm!NTM6V$y~o1Z;P#dzO<yvy_%a+5hifY`L&U=Q{=;
zO62n1TTtMO*odH^pBjXB@;n~y0pL!XxYn3S0fmi2N$f^c_{eo(6e~1>0|}F=5rq`c
zS|2l2sQJg!$>*uIhm9e7`c7lzNeTpbY#F-TB|*Vlo9B+-#vsDlXK4A847!f~x#Ri-
zNDQz0a>C67PJTLjTS0^j_C_)OnGJFft-71FA=?CM9qJ?1{_)rCiBbOpdudQx)6}ki
zV*>R>Di7=5lHg@wbf6-?82EFqm&#R`z@LmO2j^{xu%qWzZQC+G;O(_{4U$aYUa-G=
zZv_Fa>we07`->B5nFjS;txezvM_*b!iz4uN`lo)fW`vOZfnLIbF+34tnM<*h2YPoM
zL1)@B=5S8xBPqccls^<{XvNEd&cWetY5xk=`Z;dMQ^XinrBlzEeUb(ZZsCa?)%Eyp
zfBgpDEF+kz9UcFONrE3LdOF+j6IUBBP|uS!g4w}|t1hhKz>}BbfA;tv+@&(httJnk
zAl2$-_=Yen%P)w(lUT-6h%YR3NC0`4UpBYP2*Sar2XSj|YxwSY!6!|g7<`=&ZpaGf
zgMjBR+$BzJ;Kx!IcM62=hV^E%a^T^C&8uHhs}eTxA|oKH-!=r5G_~Cu&pANytS86j
z!X|!i!>;90wE+yAG&$e??4LIZTkU(&wTUxwb*jvc>%%1xE`lo`6TEBlUrTk^#9gGm
zI9p5TgK6`BNqJp#aOPCZjNP3LeB6<*RNGY#^i1F19Uk7mVm1i^@-Nr%AHIi3<_~n?
z$d=oewW?)IKa?+{1+C$OhwlxsP3piewZfiyrFra0oqtVO>ncv}KdaBLrvuN|Jov`-
zeqk4Hq^l&4t>C`Z0))RewZU5X3!^RnPfVu$`k1re3NG*~aVua(3;avp+8m4+#1en2
zh-bSm<Ar>7B!PWekS?%zxzC~l+x*z|-Mn=PZ>855&nwr2iH=JIh9ZOoj5MmeJhFuE
ztagw7DXj@~6aCALVo|uk<J*E1;UzpMF3kVlO%0$vzvyyu1>r4nu{9d2i@1=o2V^p7
zKwtvf;QoW3aoWC}zi@^ne7WlOhssOp&{lkEX<WSr|7P;;S%~%$-p}+-uYHvUi+)aA
zck~DFmflZKzNRhVQHvU(??P!XU`MAFGy4s9sA1k2B(sd?&pRbv+*E@~`tEDk-5>bx
zdzT+|_b%g)b(qciV$`6Fcl#A9X$;qwa@{vjy@KzqxjWUmQw?ejx9WZsP2hyF21-`*
zD&BTwc9+F{D!4znHl|9P#z)>x+uh(;$MdD^yYy74P<(^qfN#+ZURx=@6m@9>zxw>c
ztWLZt2!!iZcS`)m-HE5`YNWSt=aZF+pQ<VF^Jm27-k?8t)9TZy_4U8_a?BntwFNS0
z%MGWxbj{<@J0q1LmJWSiD#`Gnk>Ntwk2AZh7xBTwON!T@(W7?fl-|ft6)4nt!&lR{
zgv*X`oVc~hfOd)4RHnXDhB-%nL7yutICb82s@0nbO_Ua!e-c%Oey@C8|9xwC^YrgT
z-W6u_!hXM@_c;=*p0RmjjBVg`j%YIKIV+MjzfzI?g$SgEKBZ*mE&PtpyVCm^Y$#4)
z@1-9mL|~Z;4>Ql+#(AGBL}D*EP{6OS*}PXuaB|P)zekrI^<Ngv%c9$f952{Ei_}m8
zo!E^CZeIpOIyO&xV#0%%MhYk@H3SIs@eTa`oe@pg<}DNQc~LIEsMakT0^D`Eof{az
zjIKy$Mfj8Wk@(=RyN#2IU@DMiA!Edf*0_E|?dcRidGGAiq*4_Dw_IesNoGSbL%M&`
z9|@t&DJ4zyy^7#t_rms;IR_%m(BJiZAcFRG`HB4!QiSjG3$Mv3Tu8$wT=agU7^>y0
zoW8Z70ACB8PV8mpK}w?@!9*zuWUoKU-2YPnW+&t<g?)L^v3IYxi=Id!(Yn&9<=+Zm
zJpS59@h2bZ$O?b(R8s~e8os_&D53~Up61+nF#_mMopaT(GFeoRVMep@P=r$o?UK2B
zgwWeny59{J@+g_P@8{%aMQBqed2g$TpxWvT&SM)2=#pA?nV}y6-tSPZ(bpG4OKZFL
z&o&WI8Kc;lN-ZU5v&|*D2JJ$D`Zi(BMMOj-w6q5s5Fy>k_eR!dNi@<O@bhzyG8*vN
zF~=7}f~J#Ij|!ehBSE_|-p+h73R3y<A(l@Cm;{T$Rp?|<&#i|+=Fe17Qs{w0FXze7
z6B|VdKQ4z@WVhT-exah$_ZiCpf>ij=T*bS%Umk4;eUtg`lN#EVeC2n}T@Cn*8z-+j
zE21vu)No1}4TVr<3e*Q^Q2VA_Gp3(_ep`HtrVmj^i5p@`MR6Kn^*k%p+l7eC;)7Fy
zc{Nb>q3rHpFD<|iv=#-lkdSjtb?LtI8Ype!T#tZ{4ouusjqoC>pj<A(od=m3=;E7D
zhS>k~!07L4Ot&`~9qD$r=nmFE3irOgTSEpgBP)<rbcTXHB()sST2)6IStVs0>${;!
za^v}cnJVJgKkTTfppKZVduuIk0j$|Rb#m@eMSQyDq3N4yC`sx-16_&{2psb(py#Bb
zyRT%XIImGr6W2<TWT-J5_t?kU$v{PCS3Ru9?~_see#@%^+9sgMv$ZGh-oH9>lU#B;
zh=?0$m_BPZ0avBFs-8m>)J5RA!qcUI9<rTOT~alLbJ4c%DQ#plbnZ*0ZmSH+bNS1n
z=WPnfOW)IaE~+52$kVENE#jzdc0-%_q$z|Lj%&3~l2D^ng0%i+0Yu5@VA*473N^gy
z`o<(8@;0}pT7Kq07Yv6J!kJCMZ)vz}){=nS9%a}#7||hvyuQ@Qd=qH@FkEl#sDPqh
zXGS%>nZ%#?ifq5sFoBr7>C)Oma%e&`$a&%UN6dCHpLU}BpLeSy?h!pEgOs-kO`i|`
z#{46XH>XgHA!)r;Hg{PPwT^z^`0Trm2|4&2&dD_bkL!=7hpohsCrf<)uT45=>-y3$
zCT0W;Z$Gl@whJTfiu&@!az@Y-`thMW1)#o3(Ifk&019;yu3Y}-f2|c0Be!?}_|tmN
ziYD?Ry67_j*J@bc%bJeQOL+`h@E`rbH@VO=dhJs@M_57e!l2$XZ8s#bJM6HH*?}Hg
z+&FqHlNCe?*W%`^4S_Fp9~a*oBO35d?`*xv3ON@p2#23G0D<EV>E32;<5f==`%XKu
z!s&X6Jf8ddpikSo`I5SdJGKu^4{fu6#I=G()-FA`#C-5Si|c>zl?P)^HTPIxV(*KD
z3VuD9U}@;Pq&tqMO^rX?uge0zzbo!PcSsk4zMDi1V12j)`%ypQFf+{0W_~Grq65wc
z%Y+YLRrt)10i@n$hVh?OA&qo8z~YnplW6u1OY}SOPS}$f-mml}IULpo>OqX5<7*$*
z-bA(Uv0#RC>{^j?xE8$dOjPb|`GIlxzce4QVTSzE`dPb`v_QUbgl?T<3cFJ<e&I?W
zGvp01bZy?&gfi`t^q-A$Sk=uP#UbU)AbNg~V}6Gw$e&F#zm+hL(I41*m0yAdf{GS8
z=Pzr3R&s2O4EqvhxK{ikypZLekK9%m-cpC?s%Kpcek&Lu^6E|8nH3zWn=U?#R0n#q
z9p4Pf*RY!>rNT!kJAf&-g-T&j|HmDt6Cz6+SVED|7N-gu=tf5A#oVI7kZ8D|7VR$<
zx-{n#aey7P{!Gaf%Fy6mMuVT79v%4H{xkeEn*&04o;f|OPy@ljnQ!!-^l-`KB%iG~
z7mS7^elFXu24<WV@%1STVD`Xjm-XA7@O-&%vTu$G;l<%29G#4C_lwNP$-O*q@wjr4
zYbq6dl;#?B<d`AN`b?b0L0-tqPB9JHO$Ez*)}yy#S-_gEBHlHK558OdOLssOuH5}P
zc#v@iJbZDw$+4IpgjzC<pIfRz+V1p@^1E!%Z$b*GVG@KyW*zG0TMEn!54Fzk<p3cE
zU1#zoAsDI7jNh`Mz@vp?wmouOux7PEbrleS;P_PWonvJ18YwBB+Qkjm5_9XPKZ(L%
zY|s1pn`F2lW5dsz#RD1gQIR1f;&6HIS)C<YGE@ec)APOKg-P2_zdXw%Ah=1nwON)7
zB@w69IT`o?Mj5ZSeU*Z{bce6j?Ic6?1Kz?ICjmJ9HZP)5NCqUWgs3HgWYDiK(fr;h
z2(seRe^u;cA>{I)WRo5luAHyR^Ex05<h-OaV>xo*SU)aX97P5NHtJr^RS~dxbk=!|
zNdfA4Yc<_w|M|+ypVQZB#NcRK-om@{im-Cr@CofI1>$>YEj#Y*g7~!bD<4-0Aks*q
zbz7;zvo_9t>Rm}-XMWilc!dbsb=>+KvQ*G;%IKVSmIkeB<{Ev1%HTylZZ=v?1y1`z
zzQ2QHfbXY8XhFUTgtpP+hG*2^Yt~XULz*l!9e$?ROQC>K+Cxn~D;j*QoAqq1mxK09
z*VEa#s&HL6=W(}*I&h#HJ=7(6usnO%#vp<Ux1#G<sO}ojl={?0nWzZH+8TxT1=OJb
zQsIk|2b$1G*?q3Xg#Z~>2M+8>QiG#!`if3&X+fZk$SKVzCHNlz0RR6Kmv<o5{};w1
zd(Z57&FfySd(Di`agiBO5#=i>$%r&)kx~iC$V>_mk(pKL^H!1~83`pLvNIC0fBpVF
zf1LCD@tkvBj~$y+Zq2YJtbOs=-xQ(;?dQBd6sD>|bQ)Js9yb-f<X#X_;@k;~m7lLS
zq!M9vb3XJkGZogq9?JPtWB}g}+kY!KuLdU^Ty~2$YQl8(g|j^SjG$IhJ>U|J1O_qF
zaNbrEHoRVTTv;@R8w4hw=2s+`ypfdem`Z^wJtYRNbO4{D@^o=wG8|hKXlHWK0DmmU
zC2SSId0P(2OOp(3n~!ENX);KO*D)L4H-T$&bb2};83ednLj4km5TshUFG`UPHo^Xv
zhRR5=T{rusUW+n(6W)du-=TwuUGI_iJ4n!>fjU`#Du4zb`N`d0I{Xx77S}LU1HP7$
zmDfvh(92Lx9A-3yH2u`IzlKCe|7?(Wk|qrr8KH86T&D1T%x*Z3Qx&?01WU8uih}&>
z92W8_9en%~7n`b;p+URR{#%0}jB8F%j<(Vv?1Ad@lh#UbC*pjZ<sBZVdYJ4}bej%W
z?Nb&qTNGgO@}2M8l`OC$p^9&>AsviA?oAlkMF28k!^DDd8`vE2C=Ka1f!*zmqsvGR
zH1zu#&kX#*7CVFmzXY2=vP`?=4HH@5<&u6l`g9CSIP0jB&S?T<N*gmVLkfZnsk_2P
zIxte&(GIr^fRCHEcWiWtL!85$+|QsqJnOx<v@!`GPNy_=T}Kp({X2w7Pdo51^J0U!
z5DZ3$R|AsY2*Vew;Hq2Bcl;4^<9tJgG5oot-xe4u2(M!MiXQCxf!7Q#E$hEEf?ir>
zYneAccyqKGEQ^ldRsn8DDGP=`NN7#E&BP1cGxe<64@Yo60}Ha8vLT%JsNHXWmlJM;
z77w3M9>KHw-Ub?Y7{D|0=^>@dY;fLki0|94A9y~-boNr#PH_FuzIy99Ggy6#3_GVh
zgo_3U4cCw9!+-2HE||r3_+rKs_h$V&{<3vRpqr)-vYyS<d?^MHXjqH=tK5qtl`xmk
z>v~W(_9$v8U=#aOxU<)k=`*fpxndmLrwgH&3je6=8YXnF?ytqEkGS<T`NUN{U0CJK
zyD>!ni-o>Zr_H^7jX&w-AM{Mqfoz&=7^!&?8_BpC6>L?CxAXj<jBIMd$6GV!OG*~7
zOJDC+j$Tc`${+f4ws~s<<-{<RcWfTpRIT@|m8!+c*(}7@zi5H&gwRs0_Z&vK`*p-O
zp%L4-=rLqyr3H((ojkv~%wSKoT*?>J+c2@q0a7P%8aPF6?e%e)#`2@v_l&N8#$4$$
zM^5U~pxE81sqM`qHp1VNaiO*s`^0}VNT!+!0v-iQ5Ice0)X%22`1NB}!H?UI=~3aa
zCxzrzGLD7jw6V&^4PiG}m(HrxX~JPAl`2)4aV*L0nT5*iFm`z#>B=5+P1tseS~&A%
z46BvBcT&t{6sy?I#`(UD0#9PzvMaTZVSeJKTC<(w*#4nnjxcu$1c$vJJjOnb$q!gR
zTR1j_DP*yofBi!PmRjz;vAr~o?Y-K){7QHRd-it97IA4n!nBxNpz;KE4)^YtJUfRS
zwmNIwXQ&PZh36V<*(WjUr@!qT7w55{)iHssATm^mN<P(>o5J+a>_vw=3)uH&`$*vu
z63kujb9M`u#wJ_Dd=xAev1l$E3;uaE=vOKX&;9cYEAp=WA}qIzwVaYLpU_i-P2Md3
z`tn(9!ue{|bGa4lYQso!`VAuFr+u~I{W6Em#8;s8-D_Ao_dRdbud3j@M{a6iejYpj
zG^Ss%a05GBKd+WeQ-y-`$m82J7O<=I9*uJ{+hDM<h+QI41svaUd`Z0X2m9i9YYe~1
z0D1TMvMc{8Lrd0;^X@yAus91>sb>D|u<OuIwXCDcpvJ~m9ND;x1+bX*7}hg^_ty+2
zsct2py-j?Xne$Iy4EB*Dodve^tKVJRqXe~Ud?7hy|MUfBpzw!m!0_QBt8%*{xP=W}
z;9uOpg6-zaZF)JNBk<DO92Z3>yH|Ydl>Rm-bkIH#WW^1DF|?*kDu56l=SQ1V1_%kI
zJ@8uM1&uF6>9z<3czHL*Sz3HM1c|uuZ3giJA$s(RrK$qBr8!;Dd(8x%JxQioyn+x>
zuo<t_OMoY~3{SQ0vcT-V8$42-LXh$-)R`lh0AWTS7*-P5z+vXiB;oZAu=yFC8S6oS
zWS_F~%C{WgIC(0wc|a5jp7UeFMg&+bo~<4vb3>wS>bZ0c3ApjmeSZp>0D2`98o8Yp
ztjxROH=aoWUXgmJmPUX_(Zo1oSALMNYR2O9WnpE4t9NoQ0q$(`dwgt00Lrga&bd~}
z0e>QW<V*qq0{hM+UVkhEsRfydUmOTvZ(n)%&>sTa=YO8EadQVObSg!7b1A~EaJi1t
zVG6J`J$`5*UKE%wvWn&YR04vrKRUis5l*b6?pA##4y&K0xfuFXK(C=vte&I<{i4@w
zn^dIW1}ks*sc9kzN1xQ|{!bZZ7h=oAt7X74?2^SgKN<Ml6-5hrRiL}`LD)S#IXGhZ
zI8WDH0|stSOC;tI;S_a!$@Ymn?8?Yz8>yo}m%=fTu2vHCvar29psoN{oi@>YrzXrE
zO<w%wssY;WL=%mAMPL|r!dJghVbqNMaJGsj+zYq+_}uN^pXxWvHfg58CpORi4_~Rk
z#WPi@vY`S$u0P^3O40&_mZpJ&Z?wQZn%wv{nFvDPTSquZ+CYqyJN~#|2R?LkX>G`m
zprlzL%`{vaSmI82?NHQ*!wvR~Q88pl{z+fczNrmA$9lN#MHzs*^&-bat2!86GEWVq
zYJ=mwjNJ*FMnI^vJ}B6$0efF@54K*^g1rB%J}Kw`jGJQ|uk0wmVXf4V;z0w2EL|SO
z|4e}L>Ggi;ND4%Cq?l<>Xo6IkZau}94&I}+MGAK*5XAS<z(9rqmK&4%g&j@7nkj0#
zaUcacjMK~<$Rs$!VI$GOZU)p5t5!Kl3XCPRhw`^7!$(o=+qp4jP*!Ct*Gba=mGf%L
z`Tu-V`1n-#!yYsEtLDAY@a-ROh*-G=_Dg~DN%j7Rvt~fpop8(4kObA=d3-gKg+b9y
z|4iK%Gbl;u$Q|$`LhJJ8(xMa>bO-Oj?32vkp0B2_)e#l2NI&bX-?V|{Jlk`&i)IEf
zpS}c3S}4J@`kReS3g0nXYXkbsb5mfV{YM&+RRE`?F|~u&M)6<cd+tV4P2p7E@$)|G
za^T!4sV5?^ia-1Hz5jF;9U_4FabA-Qv<S0&O?<<M_CL`1#=%X8X7V$YrFsbn`MDM{
z#m<U|F*E-;o;QKYbma-&c@gNeE&qL2lmpGytp@T=0JNH9FdO_Q1QHyKG$3-JP4mVp
z4F3W6$!*n`^YFvV6p2&s&v2tM-U~*C<ru8`rD|X-T!6<H%oHi}p!ic+D)E)Z;8>Pt
z`Xht|Odh;#kMQL|{9hAB85)hi%Huk9cOV07s3hsrj_{x$<Czlz!-lXSacm){c?CPs
z{yQh&|9x1!3K_Tz!Jaw!J$Lpz_R6=1Bch!fG4rxT&S3_y-jdZ+lr@6!z0DLC4dO-)
zIstdrF7JeA{|QRQO1EMb%CaYyc5ovS^h?^j)rU!+`!6oHAbj>kqg?$5F2tc$ASo%V
z51-<78mmrz$MYO~q~epfP(uB0-v&QD*wY#~l0h2BBR>_3gk9!BUXyFR70v%Rp(pUV
z^PxFhro3{$$W1O3^~mA$X-!?|+v#tWh5f<P{^rR(ujE2c=EOR4?(2Ye{`O-7ZOgb+
z<R*QJlN+4~(hy$b)q&4vud1ZUtl={=jROhM|8$zvH_;=tA*4Q`p1gAtKf|m0UQ>q$
zN$nDna$?bj(u&}ax#Vrgq3@vqCpRy0idOTMjnaa0v1`rewlkueCw)I=v+<#qf(LeF
z2x@^6rD=7y_jc6m^P_<wn-4t^_G0bGroq*{p({lnn9%rr8$E-){7A*h^gypJ4f?~B
z7=1KYP)68R_M)T!V(Mc|>h7R|!(3Yj%RN@~wYpSnV(VXB`sZ$jGgQ#_!;N0@vm?KW
z_?p3WK_sz~&3;dU3Qe8?MG+|+NQ%b=uN4wT>!-KhS$(ew>IYbi6e(QDVNz$$Vapw8
zwnRBBGE5V0%%&@94{)Q9&pie2Q$<jI<~6<7hMJHqaf*eI&x>+Bi78VoVu+`tXxV^K
z6XG@uM<w3zp$>vTd1<0JvTD4dl=F{6)-HM<viZP|1a=mzjAN3h^`YP!luv;S&m1<X
z0Rcn|Qjpi-l16ue^6M@}Q{Y^<&f+4A5GrP<o&Eh+1~s&D$b36bfvTlLG$~VIwCd)2
zietMRav>{Jv7V)XywDk!in}|I5^W1z6O%_5|J(7$Hk1NQOKt0U>mo=?gV7l<0<w-L
zgo~z7!0TM|>)eZCD3*EhtI}x&l)rxe_cEe@t!YUSyMP4ZZ>TAWsZc~-L!l#y8x)8R
z@o;&KOClc2eSd^Em5^KPg~Z2pny|oeT485|G~(rbn38C(f*5nd|14B$LWWcH6A2Aj
z6rm;UJ(Q!0$ebQJWNj*JDATunSCm69ulWkTTO=agS6?0veWXJ1RpI$51$p!%VZdh4
zn1s^*4(@abr@>T?nzSvEfE@3N=f?+=5#1@@(|?Z^bRBH;K0#AJPkA+k_*2wTebxCt
zE(Y3gYsHa|(?}7ubmoQLO4LA$8=T{jCOV*>#Lu_eR0%mL_~uhIDQJB9Ps1S(T}V|a
zeVuKhjO+~kJNI3pAYP_d=36Ox;BWC|?k80RO-DOf_2p8K*H-nI!H_<jv2YMR%dd*;
z+iF}F^C{>$?X^#Ut^u?z9?L$`t%@x4PEb%d1v%FRha@E$LJ!+#=gLqbG8&IAKx7KC
zUE-L$_{#`#?^^AtW>7-|CLdOA9ne6_MHe|_3^7nBD0pCZPz}{=p3FMDK}Kif<K~17
z0CcIMPn~b7p=jTgQmO+9c}(T6*}VtojTXPNd{qtk>E(xex)YIAx8&&xGZW}PVqnl`
ztA>=b3dcuvR1o`zq6(%bCUClp?WM<0BC>cCG_5_Mh^DHds@axJAdY#yCE1RM)bjXt
zZ$%PN>g~p!LL&ViXXfU~#HgZg&i%yKDso6YVdL+1b2@nau?%0$RzWe*%4Vz;Qt0ZL
z2P7Q}I_S?`btI=LBhgQ0p>cb~&@h|lf*Fkt+0}pEc%4;38P$U_T~@+~=hmWr8z&u7
z{WWJYj1^H(Y@%XeE<Z9*dt}kxX#!O%L|Vlf0UZe1KY4VJ3uSO%;Rj<)V3PZ=s(OVy
z`ea*8<a1#~v<8xux3LMFO{Ar*_{gENAs0*^mNBC4*iogjQGop6lP^qEWRZiRWL9F`
z20q;J_fG09fT^w_i@JU(l)>P-&iQZ|FA9sxkx>O;u~fO5c~b%fi}<g*4*$j<9-bF!
zxs5^Yo*uREJz}V6I`8|y^BJ5rb)?Fp$ruv1c^)<}5<yo|QgWS}CUB}L8JpT}40<^g
zrq+9ek(+pI{-exMeEI>KZL5h9L^T%PWsDX?tb;c9vKB`0ws-E|n64Ru4*N{u>tFoH
z=JNgcrHB!{swIr3-DChmL8U|TA$(|XJ#h~b{fYPH#}qa48$bdF;f0wa4~mj0;(d5|
z6z`B^nfvX&6CBuIJ7#WjBJkNIbS!Ed_tR~7(OIq!hLa?wj(K*3(|+&=OHJWBE>wm3
zbLc||V^86RG8@W_Hw%%LoWY+IZdp`&>A@lXNN1k=Ea>Hh{&xd4bNIQvA8tK-rwf<X
z555|+Wkwe{jyOi&{Eh#iUM32Yb)jAKmCrRA6B@DOGr-UM!Lj|6J=;=rz)?Q4jBWRJ
zR6J=zAzWU<A7&p1J7yhNqVmP{Cov+{<7Z;IAN<8%b{S>-3f6{3kCBiX4o38$LOs&t
z>nh$O%BtBmqXiB}<Cz}hGoY?rscTgl8~DM1=9^O|wBWa8gX^Ln1KM{o@U(B%7QPU%
z>8L+JgU?(~_%7{dKsrnFAEd+>Q1YBtd$k`8*c*%`91k;~G3GzKKY|z$^~j`-&mSrT
zbtJj|iDp1qhj-U03~om&NA4)QT%kf?Yyr`*n*qrfUkY*bWJc11Vs?pqRHztUwRbaN
zL{7$n<`P>hD2{tjSUp!0C>(-Uhu<?I@BeUf|0*^ldirMUE@MsDOH6rF61W}p8VI)s
z#&95y4%RD-eH19;ugqK2W<oio@AqGi;6gHU$13Ch-EEJ(tucDy%;?$Ao^a!A9`xw*
zaD;{u1z7g|9JG{XL6Tkpw@T0Op}4_Q`c`=wkm28DXkyBW+A%qY*<yag=qj(9z^MUI
znFN<>QEbTAVpqo)gCI&gSGCN2Ssg?TuOvNNWJiA@t~*x-2qAla{?ghtGK7AT`CNO0
z6ZM+f|GBs-jK&H(MP5ge;m=7Cn{tdBg%uR#yFU^^yg!1EM=6qF!jABHPM#N4QIr)z
z0>sdZvR$mtI!W-tf-&KI8XpQyu+&0s5(r!H>QG7|f#lXM5w%)=v{)O1wgRP4*LjaB
zF+UP4_kTPwJTHJ03tw@RJdr_3zrOB~I7osv3*#S4W<n^B<N1$qW;q0-PnX4xk-(BE
zvg}EPFk*{QH9l%BkM@Pz+xy%mLESMuQ3Xr{3H)C1j?N~ayPqYso4ZL+E4v`GcU%-H
zKCUZ><yJ(dv=ZB6mSnj5X^gX{L>$cp+!P(YrGz+?kIugtCIkJs{hJ?2l4xdmHBCTR
z1qsy~6gL#B!*kn>JkE4!)aLv>>_(v~>b7mFJ725;uOHLf65M3bExko)drLL6`#*`M
zjnfp+tI3^?xG0D0!<d4nM@T59TP;q2q6vO4DvdRA<x$)15AM?E)zNhs_UwDyRG{x=
z$tCv?kZ<b8Q*T!_kgP_S35ACS<R~>AOMXR^wfWtBu9$*iTt5%rrE0;FGNyXaRta&3
zHy=G{t%=knr~JGwXv2ld>yIoVl+mO4YCp*)O=Rhj#fOG<fJZW-<9E3VYT?xQ<s?f*
zT`V(2KYjGTj>kvPrCk*{Qgn0o+fdP>lz-JWj-8OeHU9K@Hxb=ZH%wEbQ&Ev81A(E|
z0Ir-cy#KRK4P7qtDml5OiB#HA_%nYaNG@8b&$viJ2~}E0m%}tsW8dbCoFoP!b1}a}
z*vaTRYxlLtHx%@N%fU7EAi$hNTwa1Z89mcxIdCyu16{7>XlfEQfhQu4&R@@yQUCP@
zcXJCex`8JVPv9nCZ@ts|{XR0{FZDjw@Q{e;_3HIIt?8hom9&~MOG2`8nRmo-W#nJd
zV-{FRhg$u!>LRuz6yZ>JR=G|A`6B)AYnybqC3x`q@sn!kM#hQ_sY(t>bs7H6Q!<5_
zt46!~4iS-WGG7h*O)0d~W{~omYzka=6H2^gR8gF%-_^855hU(^?NOtMDG;Wx5x#%(
z=08UC?&}pm*TNKdImYRLAGKVzH&;R`hq)&#<GD~xjN*W54jq0*@aIInP(TGFmAqG(
zOvuFKkzvVhI%sh^i^l%roY;*=M*GkjexF15#Q2m6*d9Fo$|hY7y~<9j%t@KUJx!Ta
zo`#!1ybTJz%`c1cM=I^Voao1+5XN9EU;+*$?w6X?q!3s{Iq92b<Kkirw4DzDPS_ab
zA8-~&oL6HSE7m(OzQ8K$JTky>uhw(YMIz{pux!Z}%^_@+Tyt<W7=r@`Lod3k3nN~#
z{cfLAqu9~l`&VL8jbZeOfpyHF0D5xAPibGt1h%v4lDo?*Be>ie+j{2>AKI8?eJkiV
zg<;R%-6KvK!sRa=y;{ZG=$eIy39(`d<7@sV=_zRlvb`#OpJ*J2qsiy^n)DPlNjR<}
zz25*vj5piX1X+>2EZ-rYt_kd^^J!+wyE{S9F$UgPF`@h|gXR&AaqPu&yV8<geP|mG
z4vhN5fbQ_U+L1f)6XVTfzb5oA?{hk`Uo1D?!gp<nMlmN2V{RF@f2*I<gBKZGooZfd
zc(tvvQj6>mrp)dXTGgTp#CzoZ$JqbkqWq*@WcwYHJ0-d6n2Ihe5LI41kX*#=Y`eM|
zJ$o=+t@>@NkvgEQwGmu!_cz`zVVu7^y%W2oy7E<TMjL{=YW8e9K8OG1hz#dk{fO<e
zq-IY!YeQsqC-I};FWfXzs9aO&EmoYqd~N8h7R0RipXwW*z{OaHPoBJ7iw%!VCC=z-
zK~yg(>964!&Mt7^>OPJfZ17#S{?t<%EZth&cbnlS-k2Ud6_TBd4~^}=SD{RUGk!dR
z_f&`Rt-k<PK&iiy@})A*@aXrA{K~mh2-iHs`>0?DR~#jIKUqh(=kA(9WhE+@zxXtr
z6g-Gi{#x1}DR_rx<llXh_Cym-brI~22oK=SzdzNiDz@V9zn*{WN!5f|^-tjgRo`*r
zQA_0#lMcMmCDGBpjsm*0lh!?reYo3Sx6`*zbm85=tn<)@0<)9W6Y)FyaM!t`C8>!$
z_?3$*(yg@`5GkAyt;ODlyJr$yH=DlU8|#uO2Y;x8E5-FhmRcVk3To^-1PAa-g!qxy
zeCqIUxM9^cqYpn+StwLtG=x93I;1~nMuxGA646r5-|-h~j*;EW!?>-e>qvYk2?}3+
zwX$>R$6cHFayCXs@CuuG*P1#tIJj$T&?##G|21@9&~<bauX2@h&|y@AV+87J-;_c8
z%GYy>ZtN5IZGY9lIU6GAi#e5<g%9E92JWPx{Zlxv8UFH9x+>Uh3>Asp`GH${hB2nJ
z|H5;tZ-&;*s6fM`BgY+H5942L0xXM7=J2vvtF^}#DiGY-YxY_4Cq8$-^AS_+JnlQJ
zS$ic{8KP_`FS)Wt@%2Xj{Rxf>xP@`RB_lRv;F+I!FySzc?|j|j;V-a=$CK|b_5>(F
zq@AhR59%adtITwgePanPwk=E9+ouQu4Yx0>TTJ5)Qci8AA}jdX6?FgEZbhKN=|i8B
zX7Ip*@sPlOe!q60(VDYC0lo`7nCpm}!+p%0vX9Sg;0{_}0s=7wc=@?cqUi5Dp4J~M
z_rYx&I)ALuf(;RX>%zMK+v^KBlkZeQ_!t9Px*7YNX%_)_YrM!E28%fBkH?sP+IFN=
zzgs%LT^`H>gZIx%FXINm*Lx|!%;@8=b)2QAJow?J7piD0`1;KZf4&>62otep-nS+P
z_uWFxXkq{M(M|N(><4y)?px~YPnQE(=F$BOtebdEN?y<*8!l8mxq5d6<RJ9PQ{_DG
zZ7Aj(v$;Dr@4wtCbU}1Z7VfteH~If&Kq(dBzg}_jqdFO;#uxdrP(4);fBVsPG{<3C
zdZ<PKB@f0^iGH%+_HH$V{~9x@@QcVZjT1t@-{ht&7{~&Po=dh{0xOCxE0*#|*?}Zn
zw~lU!$$}<c8KB<HjvB>7JKnX6BCuACzRxBL?=p?ulAO2@;mWZ3JyQvk#&uvdjYAf+
z?lhau3-cn!zrBWYb5f{e<x;gHK^7F%%Y_5E`BCj<m9uRpWl@Vny;+-+EXcGJDc-FV
zK<TZN${Q^5sFca`=|F)jtm*Y7Ti*~u-LqADhY<n&+BNcxBrgZ|4%#Lkxw-@S1@x}p
z&QwI9=bw(cHp;=H#yhU3ibRpESK=c5fil|8WtYAqQyyYMc5TaMkwCAEefiJStD+dA
z=xnKS0$fk!e0erO3S~WLmFZ+4p_5VOCR8p(V0d!#jo!c9v~#Qc>04KIR1;K_G*_hr
z4GpcK-yX;z<7LsVA08B>+%kGFxK0I17u%ZOs1uM>E~oXOR83TV>DuW|q8dEqE#`CW
zP(V9L=JSu6s7P*5rC5?(9SE`E{$V$i5Z^1sD$8*is__*m7cZrN3eh9e*jxqKGG4KC
zozz0I9e&e-=~P%a{3YZj3lY5=?D^h^Ya>Pq-;0!bEl{%*e8_~<knc_2=3!?YWUj<3
z_)$(5nBIb!%rP>u`Y$%;PL>YhFo>9*EY*jyq_vP;W9q0jllJ>-j1C(9KKUxq-4NnG
z*=p~SprC`<M{xqT4iZ`p2yPd};N79(dwa4dC@!{-*<C^#9g1aJy*LCgx}@gAw@E=R
z<71rCH8k{w$qY5g(&5;&`Y4;4CNlEc+uks(iC#2@C`lTcf}vD3xtO4dy585O&L(Rh
zH)b}Tze;8xpw(5m`jdi2pDPate<Px6#%+G8J!a5tjR)aD6vX)3)neC>BD(x8J!8V!
z9D4TYQ1tF;paMlP8a6761a4GcF%L5b#rx9Z*a{g%3f0IRpo^mS@k*gJ=gr~e#p0pe
zyd>mYGPQr?FAw@q>Gw#EZVs;;#%mR4RngHcd5f*SO<YeIb{zg;2Dj|&OIQn)QN;Ba
z+eVdk{N2$A`t(sV*!Li7;=n#d<QkJ)(@`{!U4Iu}S=wm|R*x5t<gUu28w%$B-kA*G
z{B8V&nXV}WOiZ6*E|f(Nuep|29A^X3L+;7Z$#f{QzF_-uKoYr}U@t8_%MFazM}~5j
zOrR@aZ&!PkC?Z%X&ILyD!T$gN0RR6Kmv=ms?;FSMk$vpF9p~V1j$@DKgNjfQQd;;X
zv?!!9Ly?h&L`yW3N~MyP^Q2G|iBQRCiiSNBe&_e+ef@F2p6j{q`}(}!8kJgFDr=mu
zgGW}s<B}X%(cs8ZCS`Erm^M|V4k)N_IHNc&O%Bh;eA$#jL1#drNsBeGaMhFNcQwSw
zKcjvs^Me%3{(9UT5K7=@uf_~9C_u{E>-##$%c6XEV%UD0BeHy4(sWPEah!#>%`B(L
zBE_q0Hao=u1&W&&R7Z|+ME&A8`J)v07T?`%f5{&APj>Q37k}eaUt#^ysH0%Za{C0e
z4m&)mUH|5-$O}%1V)HM9JPIyU(T>l_+QG$o{$)VRYr@{;#`9Al6ja^gJ@tHzEyCo(
zvUCr9B|6-r<uXCRskxNMr0X^~NZc>cFCQYFHo9~t(I`mI#8D3s8x%ZZYX6xZC+ZvY
z!h3Wn*tvn)v}cPobPf0eYFqviYE%3lby*Y?8e3KGX}3a9xJO5=)jaX{!a$<(N(yf1
zXc&BOv%+PUvAt_cc%d3OOcgsq!OImAL+&+}@R*Nf3GC;`0_Not-#$|iNfmTF>}(0k
zl}TIrJOr^Le4*s(<+6}+@ohc$!UEr=kL~uI6GD6i-+y0QWih+|(Ug(D1-^PIP_@pB
zpeDED*w_v^ylOJ)PaI^U#Xw3V1`CkA+^L|CCJ%R~lbkaL*wFATPni86hP`7?D7^pV
zQ89dV<gOtb&Jk{pf9#b&K&7<L#eM~ZPs%cc-<ad(OE1+KZ7Fn(y&KmUQbZYgPJd1@
zN8KB1(fZBOxVC-u(gze}#MR{|+_W>tMc0oDTRdezee|>FzLyF*DYr+y{bPZm{B&%{
znu4G2`At2`RIy@J?1WrB3$DLi-CN9Laf530X`iM#mfhOy*L{+OHVXyDn1vj27O4i=
z-PAyW#oMge-7H+~FR!_|L>?E6BN<{0Ef_6JU%fDx1<etcY13^ANUfFqMwijX_nGw8
zQ~oTRefW?sv{(^yzPb~icyw@nM(jF&01M%b2$%Y<gc#N}o@M`ZaF%{1@bG39c=~xR
zopw~ggOf!fG(J6)nZ>;h&1B*BV354&WmOC<dUTc}t&eTKrJo-@V8LY#b5WYEI+mDk
z_}i{;0ByI-{2Fe*=MTT<e7T_kxoz?D1&&la)BXFq%-bBEf|ojl4YW|Fy!3XmzajY6
z6)idRz#P#^XEP`>T9{~buyx-`Lzgl2=sIgQ(uX!y)W6k6VQ{wgk61cNr%o^%8rk?(
zHM%19jt-W7{<S(I+6a=@r+Vly7D#q#u;4$g3u?jD+7oMxVRfoOaUI(deG6aAbw=wU
zs;Ot=puP#nkX_d<h*+W0FaGh6mp;S_him>cnqVN0J(M+Mg}CGsH7(qJsI45z#3BZ|
z^T%51e^}$}*G*wXe+=*;HJVwF%|K%40eih+8wf4ruuaRTD0n%!pIOL&M}N_Q1U@?q
zE^=3=c^g9XbxJ|VCI%jinOta8vWMG8BM!6I5c6BT+Aj~8Anh`R<IHft<V?Aox(^K-
zr4tMuS(?D`<lK`?dq?<K7uOhEqQU)2agV62G2DWE-NhXU$lSNMXVgwZUQ)=W);T(I
z&q;m1BnPlO%UXJRX^46Dsb43X28YF?n%5G5YR;}d)6Zxq&>vKfAEaWzpXNES4&b!t
zyuEh{4IL}$lf4WLP!eUN*rDMBzD2*p`ju(8I$db7Xt^F9`TFU$`8dJ+Rn5UqIfjrs
z_Ir8YHXS_eaL&w%aYA_UE6vS)RG1gMdSaQYg|Pn8w@ztJ2specFIkBS5kbaSNU}P-
zyIndyB|D)iO0%xs$^gsV6oMq=RM2op#j9_t6FBQnJat*94_{wjj|<%Q$R1KumUef-
znzu*!)Lppu^3Jh*0Z}>pTW2!7N5u(Gehim~+UUac$XpI5P6oMqb648;0{fq~-XAs6
zL8do3FPSchiKA|*VQ0Ag>NYn}HMOC-_NU%)&H}uqDbRoV0Kskn<aY%vT+2!dZ#XFo
zHHMu{iXgBzvUHcYi3X%a9`C*`DTsz1ve}P2=g(ekuS#-K!%$Iyd5a`J`h7R-@ZmVZ
z;KZfc_y`qzDk1a|a(MA!F6fDryd%CEriHsaP=d?z^&ThUd9du?V`cNr4zSAB?^f1R
z#8hVV$hFh+M3&CRNKw)r>nHb=ZYh^XExb%p2j_@}nm+X-iuMo|u8JL4Er&JM7cGUF
z=7?MJo+}RSu)|!^I-wf|vRK#CGRHKXC%#YD`6e~l!g=|pb*tnkSY7)3%A0@lgw)s<
zh4&0wlon22GSrcQ?Uml1nqxe$K9Mx``KS$2`2s#^ESJW{WoF&Wy?Nm<6?Fa0Uu*ob
zbSPC}OM#ZUb!?u=2MxAo?W;}J2+-<fujZEo;ch1Vi^-2`J46qRa&sYS!!+S9DuKQ&
zmn0pR3E<3zg3oI`te|YS)O3%FI6{OM>WJ<agf6{1N$Z&<?$_3G9B+uh_lMaMtG7Z}
zx>#Az&&d+cvtZ=oE{4?ExRP*35zJhP5R!dr0lRXZRfQBWJjz@n-baceH}q4^t|b<D
za7OtmTSyGly>0Zcbz&&rv@`Zx8ymt`&WPsfa_e2r)r7nRrY-MR+}p^;!RCULwc%or
z;vs}31|;!q)sw`5X>*LIE)zM^E{4S$69&F)mxj@i9XBHK%+X9#W}e<Gju^Lu-he$a
z7>c$P$zYpf2H`h{^(2rqs?2xcI0da_>7AtaEQDp#R>lcRqT}t<8R=SC9L&1^<;DRP
z)JVtvwc=8c?p<R#CnAr+{U(Q#ZCDsdfBE8{nl!Qsn*^GJ6>zMgIdJnR6CL7ts<HLb
z$a}ovWN)h?Xal<B)Ey?~D!NAn4#?n7cz{;&I%S+uY?*INWJ3JCOpwlM3XUnppX}mM
zML+9S&M9vu76<(C4{(x2WtZdVc(oc*C=XSw8BA2Pb-pDCIlK&O@y{sGfKx|qL5@5V
zkINhqLww|+V!%2+y;uuUJ$LIah%nK%cH>5$L<L+_z7m<UTpNA#QIr4I^P7yW?j;qW
zX<t=b5~2g`>3Ff%3QTA<dKMd~C`0(8LtAWyE@G0W8Zy{S+!h`X*pj6JowD)b=1M)x
zJEcUs{>Q}b<&O-d<kS$gqe!g%w>}yYeb=41z{K`|4{b5G)p7G}0>1!*3Y7)!OU3^(
z5w%TVbYGYzbk!RI`F0qhUqQl_9l`?r>sI!o0xdX>eOr6zHVp#z^&h5wXMs5<^zYAp
zZFtE2ycs-1$D5Le3HIE4KP0u$(`>H}T3%`<(zK27U$K$zQcE@>jP^ONh|)z=Z<s^8
zqX|CVkybDku)rn0WWl2CdU%)cq<)fMfZ3lMQ8s9SV^vi$jbZvYtvu1ZS<Mt}!NGI&
zgO;e>dERwwodKSlR@kA}U<wER3+MOqSwqF+)v7B?sBo+~OuMaV2H)&uhd9PI$i9=U
zFl%6lO65_W1RFD0?%VKFZj&w4qKr<L4jIC6xah_Xh8Ys$7x#U+Y=@;iN7$CdG_3Y;
zmDim#MMkOJyU^eEV6VDpyu_T2&!@UL(T=7V5ML%gz;MKtF@>V8Vmh{c^8WXm#ej3U
zHrp_mz(@aM)A{{$+*AAWEWFbgwI_c>ejxxu<M@B_0!H|DK%afg(g*`9W!H^y0O}H-
zCgunoDc!+&7go`5b9ts#n~4+1(*`{z6?BAdW-qStq+&dI^jzBkClvnu_V@KdI_8@q
z;#zd{ar^Hazr_nD3<<jS1zw{eboIvHcLsI9L*5y-9&>_s(zW<~KMm31^}O!>JuOU1
z7OU%vI78IrYr%}DA&S{Y)<zkr<7vcS2|Xcaq;@U&w_^bnW^okxL_K9}eP{hlX~+pD
zjJtPAjOl~UDWM2$mq%NAu~O)BCu~L0KEqdfs9NdP6E9DJP*U>r{Uc7uU+m?^cUl+r
z`69CtizJacA9k>5nG@bkY!*!1q=ShA-7fZ~qVQ-~{LPKe36zEni$|E+h;M%D|L3a!
z{KBLA^U8q^=F5X3{95=OJ!>hoffpAOW~Scw0m}W(g{vN_!^|spYEE&M5RLz#S~N;v
z);u;(GE)`Qj|%JBDyN9z%|m=b)&%%fGaaO3l`(4KB9;&{PW;&+8pDWl#H&Mtk9+qk
zqM3H!cqL<$sArE9_f<RKsQR`qO;z&TIlr;Axq6uBc_?u(O2C23@5h=nW#rJ8{ky6`
zV3=rHlKZsN(;hsDF{8G*6j;Wtp^1GSB5eJQ-aja?1MP?LcpFOwo9(0mONn8kx9q!a
zX1^`ITHG3COi1B^mv-20fe~V*?6ul#dt2-eNaD|YC4r5Lbn0g`Mu~4c-fsr-Z1AvB
za@Wm%F|2sHjINYCM));nzqmJS4e`V0BOMklK-tAr$68b;h{)ULTBlc7gPwaU>};0^
z4yiUdP4rI^8%{pczENd`d!L_2Sd|Nda;&7Wp?8}2XrtWOqGN?M&&)NG?+U?les|gZ
zxf$ZWw4e_GM=Y_Uxrw6kM-U;CDZL_?BP4Rvn_UDfaWd2ROP{|WB2;CMHG1<v@k~le
zMw|t#pXg`L{1m`+xZUa3dAv|FCugaXY+U{sIrsjm0B#5?U#$PZhkt#~{q$qm;P{(7
zT5?nX&n2%YfAtnX*6SPpWz3i(z^a3H^H~8D(r8_cO@cUo@nFpQG;>_*3sS3U62Qis
zz^uezVcel^7JVpVj@xnc)eCe4Aug{U?IR@$iJFB)Rp(h)Dx3E!_k<v5_baXqbS!|U
za>vy@wk(L<$W?D<2;s|Bnb-Opaa^NG-les3=V6>cTgi7JEb*PG(|Rt6nM|jmxm`?b
z^sRnrRU?e}KL2F-IBCQM4l-@knJ`%Peyu1+1exIvtpYE}AawB8JEIq7m~Yi+``9gt
z(cOX1$nO*w4^@}5;>=)^et&(9ju;NnHs6zTl7rL!vTBaG8B*iF+6rZhV@^Nd0`ABo
z+2ym_t#77ytP;dyp(Y9I3%^>ZE{YI!d)2^>F-3M?O_9`FDR>K7Eh_$_1haFwdVAzd
zktCn@#;HphBEf3|!yl@kJ0#1FR>#1?Y$*k=FEV)Pu-r`QvKm}ANS3g;Jgy`o`{OCU
zEEeggg?3eHz}Y}6;$;{EH&R*QH|*qK7+D>)CRz)>6h(6r)-&LjCP7ol;rgLe;o8}=
z+NfD(->V(Tz~z#tPa{(bI3bmCUjKs*#vDEAzs@mmDr)A`Y?2Zx9(l%@80w*|Z{Nku
zV+^FWwqJa#qk`D2LGEp7`lwGvaO`$d6cz_|1@x(c>G?HGnd=Q@lYEsYMa@v}8%FNq
zzIPQp&N-QlhIoJIRQld1GpsV%YwdVb6Cx%XDGz$MJg$>+US!e?JTJ7*^>=Hb^nvuI
z#<fPcFl8#gKA#DO;Y0f;L)w7T<@O_O#<*k}$y)2fLe9;hr}xBku~$~})N4lu{>wbk
zl4xp<ocX6LhKU{yJo@Z$|A;9BWVBk(8?o_W{fnE=y!BBk|N8?^kQq!X^8#MDTA+A<
zb<{n^0F@5Q>W}o9q4a3wqPi4ItnXUqdH*OC`F8(o`(2oDcrxkC|K1ACA2+;kxWM%S
zo{|QyeN0TfS})?b#0HXAuk7+YPXqm0=fZu*n0OUrF%sNh3(v&|lV>vMSbUlhZ4krd
zm6*EfOg}F7dUss?x6}v<9)S}HI!v5<5XDdHbHJcZi2Bk&BUrra()&?ph9hzMtD?9$
z_0r+}e+dD`@Ln+PQ&VLM`lGoJo>1Ul)9Yc=d}Ad3-5ekK!33e!lk@K4PI%+n`6c6|
zF+yG3?hITu!YqGE0RL$x?5XfMnh|1*$|Fi*&gL|j!8K2a;tb|3mn$xlM(}$7X6O4{
z101t{S-W?OGZc1a_W$uVLXm`t+Pk;95aUFQ@sv8_(Z|vUHGAmj=`6OkQqxB6NpkGr
zGiS^u&?PQK)422Ii30DC8WM8exSG^C<8f_K-K!;rxG8x3=;v`ols#H_bLhG=%GO_<
zwBx0Me%bDrRfsIcnTISlCOKn`tNBgm^ZK9$tbDTkoFop1d7SoebVjt$vLtD1J!Hg&
zJWNX#hNa6h-T2>57?@u;?p3dY{?&S}vJt#ESO?$2V@_b))YAFpuMI5^?FF^<Q^d-U
z1BbtvIpNIs``OqYO$gI>9G*BeMC|C?WMcAyo9{QyF+!>8xVX2RkrD8PC{z61e|tSJ
z^2qFoORfsW+}wstwcZk0-Xr-3z7d#`4}1JTO$ij6ryq}ReMqP+xpQTsG{N=IOX*iz
z<uNsxdm?95DMwOn>g#W==VF!B$>2&^EU;K3!5MtQc^kPrEM}Vn?nvQhXRQq0lrqnK
z8La2*y772fQ;9tqc75a><&{QuaB9X*i5Hv~4ohRBKiXmE--?vot>U;Yy5Z!ZHFcZ|
z*{hhv>UKCE_=MkPQWOQE5i4gaNlr_!|Kq^_Z1H31(sL49gkkl0fu~-@EsmliA74qi
z4OG4;EOMp`f=7H{iJEi_p%m|@>pX7_X*Y}T22+0IdphdOl~)q}7Dub){H$@RM^j_h
zE?!_mko$0F9dXM?I^)L;E5sgYzG^ixPu#rCr++-Ug;<*-Ig%@7g@8iihmj$(!~x3p
z8mVg?gwouL(05Umn46H4m2j9L%s!Z<%JO#;R&HfkC%Y`L=j_VAnvv5)Wr@~rSL;v2
z^4BX~UFG^t^Twk$A}1z^etn%=$-BQ2?_F2s|9HU0r{wgv>CY#Ku5F}rWlcZfC>m$W
zHe-WU`TY0Yo^hh%c0j9>@=xNi*!_lxE9UUwe^MxC$*nKCBsZ7zhY0iU>`65+$F~8A
z>D0P0;>!>I1w4tv#L+R^&1*_o*j}L>b1{32IK}&W&#fh+gnzPU?iV8#Lc9`Rwxx{`
zKOLDmhYiMwF5j9$X|AUj+U~H@x;91x9Cl{zRhlFg$aKuN5=@MZ+_44EIFY-}YUd^0
zX#%n5_8Byr!ElX9ac<H$A=h2ODe{~lMg^UN_=C+bbU9>_pEg14W?1tqESM!;mp|Ut
zI>hB@hvy9j|0W2p&Ho8~7UTi{(WSNb^-ST^_4}RF^d#}YWZU$rmAqJ8WrT(e3>5e)
zt_akcCT{i^rtcy7K$U2V*D5i=GwLq`BI+-3z~x@`Hdg`U{A(5ZI%td)TZ+<Fj?NJK
zrsu8le+wc#u_R%+gE1EO)GvQiGD`?*wrtG3FATb&n(>u<Bj}n-pWKi(Pq6MuS6f^Y
zMPg8|j@J|&#+m=^%zwoLyZ?yDD-B`@Xm1{P5KPCVcy}(&@ghAyP0m|c5`5D?zsI-J
zFrqZM;JY0^WcyPhw=I*#mE#xEJ$z~C);zu2^}GP~*RF3;zb*r-)SLbS9}SV#C0b;`
z<pIi~0=l1(EQ;FebnkF|XzjtEtw(!=p>$c|ZDXSxZv1tyDv~usb$jU6qz9s~PslvD
z{D=amQIQ|qpHcCQNx8A6MhtgF7D!hmD&bRwhEB$QDvZ_Qe5(IS;C541etW(OUKHM$
zPFhWcwXWpXN^@zb#olGD?@~ki<C9xSXDWDgcX`veeyUUayZEWMCbR}#aoiVDkvC~)
zQ!zn-(a$Zs2mf*X>|}XgaS#=U>+h$yrpsYxV(mm{xDG_x8m&9eQgK_4)mvwy0K=i*
zqSC{<s8nkRIK^X#jI@KRK1wMeFg4Nj`4N50+5U>R%QnPfb0fF!3sfLIEx@XFr(&{4
zAnmFv4XHK>o9m6#ur|5)SC%pjG~R~YF*bAvzZ%ZFy;B246+Fz<f9VK1T=DTtm=TuA
z3CYDpXh9%YRX^psF&fL|l_R>05q;Hu&ikG=4A(x=w|&PzTtbna{%HnsJ-SD9rF7Bt
zruBRw_r6{eqd&6tH-pTzt$SUf^`La|*9zn1Ovo@lS%+maap^+Ri@s0#*gX?--Ji~a
zv@7M@%0Dc8YEHiV#gBUq3;(n~9N?~##{G?x*-&)tZLF^|#4TpRy|??#arD*UO~dw<
z*cjzkbJT>6Q&-xe_YRrkZ`jJT87*trtYD4)N;U#<Ik@+PCL8R(okqL#Y+>&6>|<c1
zF_dz@cUp<Eq2e4Uq;GGJ!)DaqWDPejcL|%_xyaqWF}FK)wIk%EytUq(WI#s2`_<SG
z3uzIi88<C}bGfUdWZ0(AHy!+!G{{8Q-mHp5QzvAkEOg7?Z;Cy!mwVMtnL(jWtfX1m
z87BAkPyWg<#rdW^_9gNRn9?siWVJZsneOGA&9<hv)BQM@$fM)&;Gn<YW*1br2F_=k
zVqg)Ea-eyK0S=FfxNCQ~VCip@9*G+!_*2BkHzTNvpn?QN3&n-F6S}d#G~O5$E)g3h
zvNdqL>)NJDqlMu4RKQ*#X@tj9E5FgA6w$t~dvUDNLfp@P^WkFz4S}nqgpLkNV`u9s
z)tOH&cr3Z$3U4_TS7-8EPxuPK+PACa))5zsmZysBdaDmYJUegQ!zseFc&oajkqb21
zomDJHbm8lHU8zK-m$;>_*wA~I%MZUKTSg^yz}}|pS535Y{Nt)1Z{>{lwRc!GY%Sb+
zk@QB;Ylt&$ajA3tZ7109xkvZCRRhFp0z<N<I6P$WI!A^R<W9KL)wV06e0o=?#o0Md
zx!%|7E@gn}`>fj%whAa4TQ(N4lb3u>Q`&1v17_PB+RGeeVVBx!zvcrU>3(}xkL4-?
z*OpehL?=pPE-fG?_!d7Y*A}3%Fw_w#j7-P2Q85TV+T}=96d=#_^Lh#-JD^*fzjbtj
zFm4I{u(G2Ikh}5*j_&5>Z&<SBe2qOnI92>{zWf5@^OS}#pC&svGsXKTBJ+f1{`ctn
zmHea!^~WU@emguPR7P9ZP7yp8dWm{peo|#%V;TWl2rc@<xgI(~*sZ?1BWZw->_5<Q
zj<Mec4O8oeD@_N8X_MIpGAVpy;}&u0fEH_fYabn-tm-91^rOB8=<<<et{U=$9ygbN
zRv8T(drd5QsA;;gjhD1oJ^nQ;!3tj22Ydon77#KfxAl_?c}WwOo5?%6Eb;4X@J#Q|
zdd`oqx0{T1@settq%W_NB{o>xpubY;<ah@utbD$emoyNac55oLKsx))sr^}f9EG4X
zs&*1Dd0-+q?xeB>)`Q`>{Kz+s!C35_ta4sbBv@pUmBU8Ugj>;Z_8{lydG&P4KVEW8
zMqJu<K{f<G>MdB4`G=Fza5^GCjE_A3kEhHy#T=i$Tvq)1W|-sF<ka?KjE@|-(*D(#
z-yE@H%RiiWIm(egNxt}2%unv}sy1lPU_rw<b`%fBIpU$pUCEIGWZ<Jcsh21$Z1C%o
zD?C5RIc==Hv^7YO-1ITT?CCis_IfsDJj<QtY+rnIi*c+F8RNyMFf(VuTJ-xs;{F*<
z?w;B-g$iLZ{k8eh8Lsz<PS!avvt~KTpMzW1%ZZXX-GLQWA!Zo&V2cTt&U0AtAFr#N
zTR<v!9vb8qG=u7|U-W%{cu1e?xr$f)#Yw~cRthpcrf3eiE}yQ(M;?FPe7D*`lC<Cc
z*mdk81FGk?x2CV-Clil|^IxG$lcf%?G%fiV$b0K|V((o6a!^O0w%tpHtey){joV^^
zu#U>MAgT~Kc>L=<vttyp<j~jH>>gtTR>@xRsuU*g8VCp!jmmNl@%z-eKx3TtD}1*-
zM3j8kRVtwuEl;Y~vk%JsF@jI)OW7GKG46jkHQK76NVb1qJ(0*ULjDI{VGpJR*&dmB
z^7%(4a?4D&SHGPR4jrgzeC{hnM&{Rf$~3BwIj`5-=giVkrjiyl@kW|l{c{cHbgvp|
zm$Q<zX`{oH5-y-3M<G8)?37j0(j>2{=j9x%q2qx?cvX6YEUDgDQn<ZViyY@qf1BJ$
zhm5DG-}i5FB+EE!{VQo5@=N`9zvClxB&V{o$T$Tuf9<VTnmct#r#th;ce&p)a7F0p
zCQ~I+eowYbQ@<V=%oKjS<f;)AKm6kB;Zq@x-0GA{k1`-%O*=cY7aKz$;q`3wgev*(
zWpAOVv>}<Ew2bG8j0wioRpSN3G{`6VDUJgVXru@4GPN98uIEOxymo48k+TvyU0xAJ
zWSok|?f`F7T-~O0WQm(L`DtCr$Xx>y^2_n(W}CvyK;2WaWM85V>HRDA(}hk3>F;Vh
zo9e+tUOSK4YmP2i8g6!Ev4a^ou<|Kg#g_#SR{4yus6Oe{COp|OZ${SK$%)&VYL2Kg
z(zho449E+b*_Y2;W0C`rwi>zbxOwH}*yvkKC53mcy0yZNMZR64v2@ng5}`MlW_P|A
zlAfF0ZyBFwkr(zJyJ<GU<?X>*p8_R1DgEC+t)LGqlI?eB^^&VLIICyy?-bjJENp&X
z(aEikvW%wQ$J*h400030{|uLRIF@Y~hpnv0-r4K5-`C#H^%_MbC10V0mR(7OjI1)s
zswhfEq9JJ-mFLQcQkjWFl9kMiNcjAF|92n9eV^y~W0o5GSf!<ocKl_&tT(lh<3y3@
z{5CV#b@(d%6N3gyJUq3~D5;H8AGW(jNfL0?ZE;E@M*}}}1!~*6(2zUEI{vgjfXX+`
z=z1niG(AWB@ZU{E@ojA3k|uPJb3Yc`rl^VbYBL+QYinYk@%hP|DLNeNbN%YiqKOs$
zR=kofYPidTa%myX0)loN7de%!fyJsZu7(5!!;&%_YW`V3Y10Lk{NL*6qr0#=u&RLD
zI<{)u+-3>YI`M}B*wrye`FX|fN?BZ0NNu+XvIOJHmf?+qs;GZ$kNbLYNjzWV&L0_J
z38Ac$H-av!U}^i<&DxD37<Kg?HTSS3{9$5$c3gsj8Nvbethe~^TXPJ90?iWGmM)fR
z$17pG?K&QMA_u073_KMZvVaN}dWq100ycD0`+cPtk>6Up@m7KbOs&%0-WbYbsr|rw
z)cRR+%1(3Qii`yq-)D>ekt~bS@!8538~eynQC_OXLproCK5LBWmd4U4VY*dQF_9SY
zDDRIU9Rlxx=k4bk@q}?mri)G=G2yi<y&3_03oaOJD;LAWLl@a5=0=ID0S}w**#I<N
zj(fp8ER4rmDz#i4rU|2x(@cj72$1}=Bbj5fAU?Pp^7+}o48gaX<M7j$=Ah&mb}{b@
zAD(HoH4zJ#BM$O}YsGY%0iRCwmToH^bX0DsKCd-T^me(-1TmUHaYc#OIg|BxIz!3c
zXU9CDV&;_EtZ52gwmt|POJ~Eaw_d!e_%}y1FV8o}95jK6!`x@A?OCv}g_|p2_Z*>N
z$<?<v#~210Ke5+(Fk)_T#UYE3Swh{%GMA&@2!dW-=9)`dCLa#kZP^z(L)dKO(b85k
zg5~U!MfOt*Bv0@2o!Uo#6QW%ozXqK#gb7m<_mQu&r1Z$ElcsLd#P#Y&ug^9aKzW#m
zGO=lzba6l6T<A1Kh$$@$&Z-zdpYEBZWb-l7og%Q<Q8PhI=Col#f<Ek5;_;!D4UwXh
zhOsJ!apKaUvAl(GJ!lVA(-!*noy^{%@ZI{@FJd7nG=O=J9$ZlCxk{sVlP?o}UAP5D
zi3_C_{DHN)FmggNE4!(UoLUyIemOltEN;1VU07ciydUbhaU{MYzXqR4O5_+Jmdom*
ztMBVT$`@ay?Tl6A!HkBR#e0Vd#^cXA>=kw3-O&bnNy%H};W)F9C&NR8)XtWK>-pMX
ze)Lw=N4GpevHsGvw&EcoeuU%mIeBd`lg@niL%f0rkUBUjeQ$^`_9?~bA{scFWDgdy
z)Dj<9eE7?IhX|fZjXSkkG;lKIYR(vVM@%|uHI3O06Cnae{|#1B;hVSKA&ooD#L(W3
zbNhY`6Yn*A|C!rTfn`ICS<90)qI|2`6ONh@qBQ@C@Tq57kV+>`Uc1#nxTFPC`L+Bc
zqQB)RC-!Q>SdR9yyRlt_+mzh#Xpvt;8|UNS*SIxd-1MKG%E7Nhf5Kgf&Wtf4sgz$e
z(n13QvAEZN%Qqsq=EMGsofE`G-`X(QaCMNc(k{uA`%ZLJ*JoNQP7%jn%)Rn>r3MD<
z-uDMe`iZ*M!wZ=f(?mU~Ew93?2JRas*2~xr5Rn}YJwKv<6Vji5WF6eD3I)z>QMT+u
zgn&EkNZ!Z{0lu%y7;{v>(}1<W>)S9<$ap8X;`AKxl|I!wKTCll@b+qc*H0oW!mK=+
z`iF3q)kgCj6etopU}5*~7g2CZ)xJ?|k+8c+Io?&O46PR&4VmmFh?MU(*T3s85sQLe
z-5-UO;jgUk$4;*)!s>%~efGs=!ncW%r4_9N4CK!gmxgJ=WRO8gpO*o)YYD^&&nQC0
z-ko^?HZz3zN_?Su7$dY>QA_T5D?*^jiKv#bS;FN#qhm5RGdOf96v_@Mz~JeE)w31z
zgmd>#5NKe5$ngm8YA*%w(O<dv?ePM!!I|>+(?eFMwp#ygWLh4A|9IC_^!z0RhFR}B
zzh#GGgTpsCqUE7JZiRCTu}tKKq&`RyTMwak>}txy<iSu)LEENhl{n`4cBT6^H-y3y
zqk9!{(9Eggyttnc9G@nPtvBX{jrt|~Y7WT3uG_g1T(eA2+F@00Q^yC#!na)$6P5!D
zy5VrjBNiA+Q!Zx?7JxasyOoTeWMQc;=|tRhR+#2Krq%SH5ct@BkeA4lg>dd;GuF@9
zp-y<B;>ZCJh<s?xu|G@}R*1nVf7bQDyCbGGCr=D4izol6dCLM>*c&sJ$_>pYKDs)H
zYy_i+_O}oC$U?gM$@f7Tys&wpG+Do13i7)S&mNDF1<I1Z{n4j<@MHgkr^^=^z?H~1
z{^hc8S&mIM!9xI|%<Nlt2FSq!N483>4RY}D4PW{?eIa<6bI2`7MFDuPjBGlTC<m>a
zqRErGB0xRBx5~?`1g*1eg|~F%K|WdgLbAIU2u3FbdoL@4$+Ok8a6ScSb9zEAt(1Uu
zsttlCgjIo6Jc%JhT@lzOriwkSq(CKg^PK$_bx2iv*|w6T1nf=}o1O?6NUZ+8vEz~^
zlou}CRR9X)7dMP#|CWU_4ZAM|2U6ih@}&z~>{Ov{!pQY)s5~U=Um0Y}roqWo#s9)c
zb$Fvw!xJK+2&2QM>K|We!<Sf5q4*pvxT177-14;&+zj8m;?SrAYNrZMehZ;Nxp=d|
z{0RyiFdBaJyIdCv`yV+|-E_dZ>T;~Bf+}!V{Ch?T)&r&<2eTjHdQeg9T}f$F1C_E&
zn%SZrByjDam^T|hdOCB?vWo@~?P;Ul>iVF-Vv*6b)ffue|HOZ&(*%Dr*Q_9BeF(k%
zW5?e<Qz+Zfn{wu#7Cg8msq`#R4}`@=m}El<NYcEvek6zrTFIM)n1Xd-cN*ngI|Cge
z?lxHVHBcdHC~r#?zYcJ08f2PRw*c3&?$iUns6Z_~d-04N4V3?NYyQ@?goU94&gtD$
z*k*jLj{meKG#~jMk<D!d*Zqg(*sf85wsNX_W=I7VL`55z9$G<vn)LHgSt_^(yzZA$
zRD@rfYe{<{Yj75o@Mrz239Q!!xMRI!z+1khL6~k0<Ibj)=l5$sIfu7w<{J_CdHcFl
zuf8>?+jZ+4iBy9)0S@mkvl}3MX*NoJ#R|6Gsm%*Gt^zUPMS>+(44^}$HjCw2L2BQz
z3vUT!XwR##FUs#BzIOy#`Y2h!w_YySk`)DD*`LJR)G$iE>@?d%%d!N6tqccmzL0|!
zw>*<D-W8H-@J5&evn9xUOfvltEdyZ#^+LlD>rmwklaQj91qg{yUv<9N2*1nvwnRH}
zqQh~<A<qwV_}Cn<`^X(pNT&p*O1<aC?r)2)59`xmG<U~4g-?PYe<uCpD*;}-{$tKU
z=QaQ{zuJ2S8$P(r7TJ^C!i(%ZU7oYz04%!Mu4Zgp@Z_dq<!NI+v`u{|X+|aBqwiHa
zE?!pPH`CBiIn0MmxjR!ljLhNgi(@KLg$xj!6X8{Jh!00ev-h~e3<l~~#xBPFAs*yp
zo@}<^L!QnDJ5Qc6g|^OX_e8_SiTrae`|Bk6uvLbAU0|UJ{L`9^R14@Pe7$UcogU}K
zoY(u;mG&F2h0%?d`9%rjUdEF#7f4=w*V0#@p<)ad7t<)-5?{!`?CF92OkVVy)0|`r
zF@n(m<*&(JBV;Uh$)Bl6UQF8PaXO^M5c0DI@_+7_CNl!A*{=`g#dUMe!Cz^Hz<EbA
zRbhILTnhUjelLm_Z*Hc4y_;zO|8?5GHKP0__q%_q$<E=$yUXABgV+t=bk8n(4fYjM
z-u*_UaT_nPR35l66Rr<~wL+hJni-JN&+<NO?Ou`1Kh=lU{?nc+z68x^CXCVWwU<B3
zhiRpWB5GlJaJV+Dks{54m#>;z)GzR%VugS6BNjb4dvMo?bICf~Em>_gmdKBtD`_L4
zmvzD6>$9|aJvMY{PFlyUFMtPKtYmLcbm25ZDAT`6cKk9BYgO=90H5Ds;?%FzfptrF
zw(whWqHyf|Fs(}vgB=5TB97?5Cw(7Eb?bT@439c&)+&UlWZzT;j}9>8gbn!|<;JFU
z5hDK$3FDD;{Zu+?!*h`@jT^;z(4(OAC8w|`N;5I>L<Vbv*QXQC&3?QXoL0m+?jeSJ
z@imk=Lv7g2XZOh5i4R3w&nrc|6UW#H&oX@`ZTPx9Om=w(KX%WwRVnS*h*Q2NY=5`Y
zz%Gm$nc^gX_Nqa?iZhaUuBzki#3LH?oH^OP=eQuUC6xUPc_NLQ>(^;<XVIX4A>_cN
zOd;H`Tdn_agAA%|qGfJLra|?qmH_)t!pJSUpFyck76s?8=#wcl7}#4E=c6EsPBOb|
zZJOjzvw>+UJBJ31amQOD;>2)&Y_eSWpgc-%c5a}NG#IpyztFiNj=vKze~?uXnPd(_
z*CY+@rF~I5n79$+d^%4(qAFq8aQ?!Iwl-Y091gysB8C0eheCF^D`VKD{?8i{wW0Xv
z@hr!+T@Z3o@`3gx3ZBIJKS$=Zp(oq<*YrmjygOO5ZS1uQVyw^|%Mcy-GqxP;Rwj$S
zj2FrkMpaQL?9=)}0bS_2|8t0bTMi{Sg(Ol~)G=W5Z9Tm=x={A#pN(IJJU;)*aBrGJ
z17n{F+lZ&>!KQ%%J@t46lxZJrf!`XK`0_MMSD-#<EbVEt3Q|PtCVG6^Q%x+nc-BSP
z-vG98XTO?qQ$qj3C!<eowD2^AyRUw&&owVl8OP0((KDuKR`9kK3abZr`ehoy%*`kI
zDO?oX<j1Gq@mdSn4u=mG)*3^ZQK`(x8w#eq+i6U@riGk)<%A~ZO~9I-BrxNtf^~lT
zZQSLxF!!XlQ?-g2NVSc2HIJ&GM51*FcxYn!gT=|d|IC4{&24~lt11>djC-^=Xkhf?
z3)Mw|1UOr+-tUT4#nh}MkFbAg_;_(J2F(B-g5G`4bXDAN#LtxPh$?nHn#`a+0kB93
zxXBT!iW28j1&?J>P*JEBWkl#em*=D%)>FmPjbnFu3Y9R^v~i!6CmpI&PK`#^so?#N
zZ#I-H1$5V+$y3RvL%7PV!AcDkT-+Q}mk}d}g3et_HuZF%T0Rvm3ZP)VpA73zfDCq5
z$ZuWgpabibVV<sZWlWl~8^D2$c-*US$I(_g$f&>Amy@G}nkOD+y2^;5%>_YE*B5lS
zVzZ7`enk<r&l&{w6bYf?=10~mm+4U1$asl0Q~^yi?f*%~@#F8z#R76a9h7=c2W)qe
z$4utWBd-#8uvp^jSt%(xjI~s1{G-WXxlMIk)EiDLjC#=&*$&WiEpcLzOBN@*<LWlQ
zW<`_W^XcNT0Dh0}_b9Es&({Fwm;;#c?R`O`9!-F+Nxg9&OC<3fwKeZX0|TZk!n(d<
z0=Tz!devu1ppqox;<|uklE-&Xq}zfyC<o7aWZn|Pn|$RSjP8F)ryBOLBNpZmGHl(F
z`d$PxJzw_3nJ$n`5&JCeTr`8@d36?jBEl%-#V>3<G*4bIQt9&TGzF)U+a+(#3nFzY
zZJRkUPyV`5zx9@qDVVMDN|lKT;N9F##Z&6@q%Oz8wxu8wu)h>~@N6?5c9;eoGRl}I
z1@62H`t{xz?85i%^t;E4KPUgjntS~rgV|LpYZQ&)^A@AY_H8_P<mJ41T-pL@NekIt
z7HtF!5`RBgpXWxW)DH=IEPu&2Og#aEKMbMjkl={&%6eQ<uRpov*%HYdbyUvX)(`?x
z3u3oE;zXqfvAX+jER$V%w@qkI3?SosYs={y9H`0_>%9BPDmj-PvT47p0c2h-VT^jo
zjv_~2i}Nfo;7XME)?b(PK`plVk>>_>JXv>TnMPy6V{Bf-Upe)`WB8k)TM8SVdRNa<
z63UE!4XVByo!5g*C8r0yrflf>kteq93k#Omzdgjoss}+a_dV_ivY~`%+KH|9tmt<>
zhV5XYE@+tPMl`LR|0yz{rF>z-5yPu5cdqe7<b3qj7ba}TY|F4^YXk?r@)584ovQ;%
zDI<3%@oebF@C-9d*CV6Q$8(-KI*?SIDyX{1h6N4-XF5f=F-j<+x9goY{1!NLMJbsb
zlXGtAz2xUXvNTRK+*2Erc9d0o-o$~~YNVmyHD0vjEbva@&<4f`uE9<6oTwTzusf@Q
z50!<}BKEFvUb$-K%Uk*N*jetDoifRfsv++!jooOlvhuxf#fA%=l9@+yO$1Rf=<moC
z0UGEAm^^)RnH%fgXmUsA2;rl=<1)h^sgQo%WeV2upvKmN0fQSwQ1tB9%-3mD_+9$W
z$-|x(Yo{yI1D=Uu?$pYI_xq?YvFTvUFqIFzDn}kX@exOHdY^G4b*(%3>HpSI_>rPi
zduxOFMpW_K5SP7y3chTiSF-d3klQ6W_cm1u<(q^|;wQA=k<rGqb1s6&|HL;lS5^jl
zHaEVh{j3F&V!thNt_tC{>;60<CbAf*wb?SNTMMRN#!K8E7e;!Ke@NmXIZS$d)HrLc
zo0t0URd03`#n}%pS`KB)qft@HQweD*baZ7r=pGV7vD%g+2?GlFU(=4AKXy_fAn{#w
zc%lRn1$X^)4V93x@0xw^S_eyYZGY6YSrWsAXGA}*aVVzd>&NO@DqI19E*>dq6m)uW
zV|sDTN44dZ54~v6i7^ok=VWj=yL#)mn<_e%^Vvwu(?B||9+u9_B73w>;@{V5DDq37
z?8!}S@XmehI+nWTQJ27*e?&EKi`)LNwu3qlm>oCbkSC8$>-$wa_i3U;z_A>MO}cP-
zp#PZpGX>n-&l?>Pt%Vjp<;`|%(t}+c{(2m56>;~yy0fZ4#mUpzHS-7b!CmSH#i3IP
z(<0Q*NZqF5(Un`dM3w<OoY-K%)T@k@a{fD&MyVJvwln_Kh#@>TV2gKer{KGN&f6|>
z&@lHUBYE1^7|wIDlo>u#L0|smv)fjvsF8Zk?8`F~5b=|LAb3U<U&huIU8$v_Z}Az^
zFN$Wc*w!19uu%;I`W_#%bfIF_9?F1DsyUR|Og3H4P{XLLK5X|Qw9tUurZhB4Kq1HM
z{(t>ym}knkv~x@Yb!v9M8%YPq@UsYev8;xk=W3#5*wpb!sLZc&1v*^6SH)*PpoRw{
zI%R1+D)<z3*T2uEL*jUl%0jvtmbDa^X+$cc5jOR5uFyeFWwowDKn;a#IuiddD`M7o
zYD<cx1uSyM1blN>#l@$_HzdR5Fst4};*Gxrh@HznbU#W3_dUDQleQv_;J~Hn5^e$N
z+$E7JVH7MUmg3$UNZ{qmd*(Krw1DP{guTXllu?%X&iy^r!uTQDU?SAf0`>}?J!>hh
zgsx*eH|3x3V|&z_6qL1qm4TMry7vmWTT$TasOAQIXjPYB_>B(lUspS>o|4CHj<YKL
zqipD^K^rkjrGto8`=$Jia_I0`!+LWT6CNxpPwO|J!-uUWT5{gVU?i*UJl*pjxqnai
z^n544w~0kD?%z_ll=4PV$8L_yO3-=Md<x);Pea-Cv5nZncYufQ%p~a%*-`Go3n1+y
zI=qit9If?C-8lJ&$;RU|GwO~694PZsVr>$^UA)^*erEYjwm5e#ZI3qx2hO6OqUA!!
z)$96rV6uxmdf}FBO_dq&Ebi>^dMAK9#Pe#<{6yN6|F$b#FonNavg_}%@}uvJZuSrL
zHqv&oI^?syDX1wVCFQSm@4qR5-2q41$n;z%YDtI*+`9iV?BhH)ejndo9O3nel;wS!
zcjC1%#8%A2t{zyAvA%mwFSK@&jJ}s6OgF6UmkddLWpNJda1|aJ+TBAAyvq5);cf)}
z5?mp|qHK8l=K5tHm+#~Yk-rTM&kaGYF1W<WX&uIEShZeo9Uu?%4%zPKH-y>^m(F=~
zFk|6=OErx7!{lA=Ch7Yp3_y`}tLdX8CS+$fEmsu(MOqyh+K}>DAGlW%6Q)8K5fvA;
zDqc>In>hIAM?oK+HXEN<ca;IPCd2niSWJ@(v?pTuC3=wLeEFnR^(u+?YqoDRm?1si
zj}2tW=)vO&7yg{PD`eO0(aAGrbL4b-uOpeE3m3Poo*L{~COaPxqCUI-kPHc@be4H_
zVMArd(R}A+a&sP6J!|YDNl|}dx+z5m_`_p)<we(eB3bpd&f6ujiDpMn<<kLwv$?CM
zgqBIAfc$mgDl25BPxG!%SGD1wQ3U6a?aL%PI;@X!WWc5W(l`X=v?1NP%sm8`$@%Rm
z8*~a8@r4Mz!@iUTPUFXa412GTtQ&hn4{$MKFl$a+ngtCm+De#QwOu7=7m6qy2`m^O
zqB%6&Nri^@rZ$OM3`n<5pS~c=idAx7&Uyt>A^E}B+0CCA@IoNLTHe8iPreT4QTeHm
zNV{X<oxzAfCBJ^x7O(k~A)5Dtj~3+W4wU5uGGUT;!TheG_4ut$>e8u7O?b-hK^ga7
z^ZLQ-DrWDvagGq+Xcy3gq=8NHspnZRuk%!3Jr^%3{^wZ}9;5+A=BFMDk?Zh7iqdG^
zHa`4R`L~)fqz?AUDFJq3Y<Rt3oBOUJejM?5Bmc-<9dc6Rx7c1~M@_qi$FHOWF>Be!
zQF=rT;xmq)cQN6_E)(Lo$1@?^Ppqdt3|E6g8FFvA*}2dv(Ze9mUj!d%mN0h8seu4h
zAwZE~1I8({?&`7?!;;pE{{MBULbUX^P8$JUJaCbS*uG5yyBm^KXtz{B$iL{VHo=E{
zZllq{L6Z1Ses0HyXjPE>cVhJ5Iezrp{!4YSQ5xSAD$P!uQH6lf1fyfa0{AGgu3uhB
z7MGYEZ5onQfpL6iN!Jk}{JS(;>=-78MT{2b8LL%c;lZn&?CV7EYRi#EzY%$4tokKP
zimE|`s)oEujVSJ$dhcHBt%!a~(-OC?ssU+N{Z1%f961k&y*#&~g!V^8OY1GwLE+Fn
zIj#JS_@6_e^x*;u9txx%E0NQH7<2uP)EX&tWV7}P*rSRzSzA_Qj5Xn(;vch>C>eY{
zpDt>{ua4prljP+TEvU<zzpVL47QI6*o~!tvfm$#3EX-b^0_$PVF^_RMWO?HK>0+c7
zCI}4jpFB?kKDYRA23-X_!C8CZehL+*XKwf%TJ!0xix%ByqZDzMM4Pqob{eK-E4IJt
z(E*z{yW7?+O89)tNk?LqhD<Fd{A8{4;J(Y2(kqe_%(Z2AC=S-f(1W=SeoguiD*!n_
z#=l&D;DVb9-fW2p7-`kUA18&w>_ZLVmb_bzaf&Jy9v2K*UDQT<$F?6UU<}_Mk1~C|
zrG~SyUwJnUY2)dhJ7+hDta0zv=V7%g>i7`0h}xuS<MYjiJFiTeL5bl9>hSKhJ*McK
z=(s?`#+(CPdDR4%c-=XF<c9`Uk5GeeO3+ZhVD?DTt2I7Pr5v}_*2L07c9C4GT3GwC
zV0HW)9WMVaHjp&eL{|F`DI-oASWl?`jMK3IYnLtTBg~peJJ9a>XrC%FSkH-8p#=!d
zWidp@XrM$#5xc9hGKMd7*Ve08!mw1JPcf;Esj*kTZ|{`H2S3hLE&EvlvC_lc|4I#&
zUAL;9NS49(74{FmCt5<V^tXq@=Tvd1{i~j8qd1P;-h1ZzIZLqUOH<X9Rl(XLJASs0
z2(IyOa(2kW68f8#V<oecv1OpOw@8BrS;U{8e=lzd?8e(zJ(d)4p53Z#d+R!U7as54
z+-w17zvxkH>=p2De$Yy2&JwB3RMjVb)B>itZM<!B<ghV2gqjyWMmkdGZ4WV6K%i`H
zc=3!3#uvEjAM$M^7pr8fUtOR>efH|lXN6MuxA63S+pu<m@lETW(*ktZ+i+8`AWi}`
zIo!+!w+$0}z7a+8Spa%ogyz0WqNuLCZ@}Wj6miOR_<4~mK%ZlePs)2C)RT9W6K|X$
z%+)m6igptqRFU=kxsd?AZmG)QpPM5-J?@KQIBpIXdtLN=yLquAa-i?2#vdXr#HeOZ
zsu^^5h7Lv?<i=$?$J(WPe~9mbQ<3uJrZC?4lwCQ91Do#%S4m(0LumF72t*8<0PmyB
z6R*eDp#yL5fdPd-#O%`-vDQ*1K#yfTHvgIlN0(jIb-d;Yn{y#4I{S=4zxKmLh3-|7
zG3=*)PsAMI*B}0QBG(8)-;4ECwf!YC+8w67!)FOuRV)%7GXxH<7qwsA=1Gz7->v%t
zXNdcex(Qp%3?WPA#@?)e-(-|{U_|oK-^7s|@ei6;4B+M!yN25Nak8^Ds5kHQG%<O)
zW9I0TK3q%IeeT#dOcwr{U2M5DMeMWsP*Al~A6j{$$Mxg-$)xm;0Z&pU2_4USue!?g
zK-^#HOX;0%Qk>#PX{AjN24|eQV&wFoP<!L*^FwW91M|Owti0pIVk28xT$(QMBxdVJ
z=r@o7CwtN})yIhIyI1p{vFO6?NA?1r@}86Ps`&+(@xKTMt!VLqP#uVzkr<$8IT8Vz
zCNeA(ei6}H3Gw6e+ECf0Qx?$olyE-Nt?9TrN~GPe`LFbpHgrp;hgQF+A^ryd0RR6K
zmuDc={~LyJjAQS;$8j9v414x{tU?i)WmZT@L)jV<$|z+-StTSA5=HrbkV>UtR8)Q_
zl$AX)`uBhPym?;T_jO-vhsqk=Bqy-#BavEsD-7sr9u59t{01v>`@_+7d;&Yr=9)5b
ziUDHIkrD1ZUD)^W{rpkHNo*pwcsGrM0fsMy@5?p!V)q}U=kEA6iFy3qRn?k7hoMfZ
z!=YAvm`t44hx(Z*Y*f+cdb%<lJfi#6Pu%~Cg$M>5xoP<u>qt=&=Lw;KA^An{D*GU2
zTJ>_aEqDg|Q`U7(IhP9ei1iDf>xZyoF+%$+-Dfc$s%O5<Yc1f0@VYl4-?4kIc&qCI
z=CC*Wz{8KA1$#DEmR1-e*kI5V{VzH5nA?**wa(_6Q0h1_xSewh`)d4KZ(wc#6SFxe
zA&{T}%=J6<vsZs&Ycd*|JHwZ-!v>OLNpIDmp>%_#m^gv;%0Ee=tFB-r_hW<}$g0Cs
zShbsj=@iB&tXyAb`-90o2wAxtN&$1;2Adn#e`B2e(cA7zu4B=EDFG^-YT&<lwdse*
zESBP&zWyp;6TA1C+<jV04eZ<fCG{fbu$H&4rfVaZfSrDQwjqNI-VsYJjeq8`8`_e8
zB?g#*_uIiU3x8GN0EIJ~R<wvc;I+oA4icb#$KjL%p{nrp{Jnv!!^@Z_Q-MpP3>!=q
zE^4_>kidMW&rb{gRZP~x@v`qaJ6uhC*ex1Ng3AzI_A6x#`}k=4)>s}+NGO-lmzq<7
z8(K9^B|kT?)lXA-El%7JNVQO!IjaIswiORE0~1iQkJ0Tv@PcZNm9CA13RFGb(acfF
z4B3yK#=6=Fzyuq)cKwkuynI#fT4_Q6EH*%Y{FNY_J5={j(q9>djy;M#J;w@(b+ngR
zCxoGpqW*bQN*M}#jiTIo*r6VlNRO;V;oT^6#@v7sRO=npaUUUqlW70Pk5=OFRZTHL
zzE%m2*^&AtDcsN=c|i2iNl74FSi~P>D}e(!%=l#~FXY{##z%jahCN#~)DB%%0&Xm}
z_7GhFeyqu{NS>5~lbPYK6AG2!dg1JNR+S*!`Y-&`juHj%jeYoH^pz60@73araTEp%
z`gwIHni81I3ogiuDTCR@nZ;5GQ7E}N#J%}h873s%zNRE9gUIj#R|2OvcurNm&bUQ_
zw(*!pK1wRE#qWBKDM=DcPoCa)Fog_94O}~GW>g^hlIPI55NV*vNGWAsp@6{kUgr2!
z65I)Gvh)2e3wLLZiC(PH07og_qc^R|5K_+GdDKz?2zL_}E{$kG)<om}Qv+(?x9vrs
zcZDLvNj!-w5u$?*d6WNrr#kR_6}6ouD?@rhhh4Td1CpM-3gea4f=E-AxpVa@P+Cy9
zb=6KATz`!m$mpQ~T;Zr@b5?~4cKJDtT{;j+`n+oWFYos>-rak#OoozAC^X4b7rLI4
zx3}2nz|7ageWv*oh!){{nYXSB8?#y*KHK#`XNr;cpOFTPk=rL<#Or~<*+V6!XAR&;
zz`Cn>t0ttl=zP&^(}OLdw!!)XMiAe8(`h?}3VJG`21@tzpqYI_$=}@+LivQ1-ulsC
z@o(eioW34B-$Pu|=-UE*kq?ZtwCK<j)x_SsM;9tsXy+430S?BPxKPj2;nUSEPb4ID
zK;lZqEy+%Eh}S9KcK<#d`m6YYIHMUb;+;aA>$ZTyFHX!CRnVcRiMeV?k_G_>3%7_=
zTLM;LSRofqhpF}aKdkT6fpc^u-FUYZ^d{Mi*YVS#J6}g$d8;ZMCwnG!yt0DNo^$Cf
zOH}yN%G9r1rwEJn%13ostwANMEbUUP794qYcyTyG3MgEYGtES6Am5t(>))&aYeg=N
z4ZcF)pE#USH(&*=y6-FcUsFJ6;bDe4H#?lOzkSHzk`=7{EaKI9NCxzMXa{%R9M%wc
zf|{&g1ud<O8T4clyl0(G%M^c(>-QQRq7+!dpNoCb>bsSpHhil~p5g)?S0nBChtCq+
z?&Nlzpelll_;8HG7!zt3DmZdH$^u%?WE@dYlLG}2+gdhhcGQ#mkS}@I9Lzl4Svx69
z!2v_14VQ6Fl-u8NxzFAlcH}$Hd+ip3h=7vm(-}M{YQC!lJp~v(dM#A{gAnL<UD+P%
z#D}gNyj@+c1F&>O-)cpMAEpP2_PX!pN9UxsLy8{;JhnGkwN*HQaKa%#tdAdkIF0l!
z9M}TW6GtMN9uj~_l+csD%#XaZzK#5iF@yJYbta^o4b0a}lBc(aA3Z$gb<#556xQ9j
z{g#^-u<up=pZk;fQJD8#|KqPrz^YR#mi@*r?4Uw{qbrpk%@`^*Tw^hTp)29v&oqC;
zcz<!<OnS$Ms%qyxbXXaKji3Bq@5K`Qtj*IZo)|uqA;cT5m2L#nRmC>#S$%jxtm3<i
z#(e09(T*_YABJGpW<BzhXAC#?_%>!M%7+LS4{s~N48gXDW6)D|2H#o}Z`2~dhknLp
z2%NoT08O%Tv5p=KxP0Q>oHaTh`rYMX$lx&mb@Py&EYubJ>Wjqa<w!oH(&6Fi6{`;&
zC28LYkJfPEpW0qC<9vuQKRAWY>4EV4*O6Mbzc}x;J>%Ce@T1zXA}{JuJ&-SV@+=Z!
zMh<qoNp~p%C}`Jhj?`IQFshkV9=gJU6rMf&LMjzN$(xx>Z=-a<bm~UnEp}G4%e!NF
zyRjhJ&2>(El|vW&%H0b?!`To^)@`G^qk`zt;rD)uc{&iZnv!yIlpWCp76U(42qB9V
zNA*McIuH`HdM?<Li2C(|+)gA5BVlIM-Rz&VK~eF#)r&q(M2O6t)s7cIa+)F(qtn`;
zv%TqgRRA~QdnbRdH(M0hZ8NcU*VKkB&KhN$1YTsDvKCH$E{669`7mA%{mbk5&4Hwc
zd??v!-{z{I1d_G3Ugaocz<*wIRn8!QjPe(yWMU-ISu`e5?$3a#XqN0RI)aEzh`wRZ
zB8~VGoKxI%7;qx8y?a7m2(^kDHZbnUp!V0>$9lOLkS5SryJjbhngUg`4MOBlj!#Y?
z=WjaPi#sb8cw7WA9Ip1YswtpHmC<Fh-{=t2KyTb%A&Mf8%JYY)D<bbzfzhfyI=tPm
z`oi)@3>C{HU(hj8LL=|AUE{vfAw#8iMcPLKwOJ(ky6jO#iyUFfFW2c{)_Kj*^0Oo|
zxzp)<Jy8V_HYwLPRT=;Kvi5C#kTgn@Fgj%3OhQ-XDaG~s8E}ks0JGtjMSK!wvVEJX
z=mH^W_;MWsMw8gvEnmwao7VLmBx^NfAnzEZF0BnkdG!a&?G=#NuH@mrsTA}s7ds=8
zs|^QlJvXb`qKKYeO%>YmK^^r_i#%#*I-t;2prUP{gu?0s?en=c(ef)E7pXxV@Vl(|
zOIJ@BX;!R@J=N7hv0fwRSMKV<jhT*RlD-OBioPkJX+=e}fWAtPbUi5htpB=CpM>=N
zPX4(>ry<qwdloU5^<m9^DLX+&6^*VMYW@68LxRQ@`nO9BfRL3o-9{!Ohxg7hET(kC
z87tiLyUP&d8^*Ot_|%Y>M9bbpUpf-m!u(E0z!;``LpD2y)sWOr<!f?2bmaE!VZwrk
z34F$^TuTZlh{|z1*G-p>WJ5}0!b?qoEAwi}6;pMjU30Ws7SYf^SRH9@#tgKc3cR;y
zP)8m9ue7RKsA!ijW;aR0AoQmGAc0E*+0KQ>?K!4}5}WFfyB0vh?RZaKh6dVRHOZ{r
zt%0(}(*2Iq0n}5jdcUJ+py;iam{u1kC_Jn^IF4ct+LmFb)aTU^d0F83m+xfc%HeY%
z^P)NA2cPP_oTiR!x5??NRg;ig-Id0?E_1*$st*y?D5yU7!2_#cWz;VJpgo^p0pF?w
zWSKAuIyuR25umDw^uNuUR?1jF7ilmAeAJLa=|}IjVOeBWXndeo&H|beZ+#E-A)_~A
zA7;`YNFuJ15$8E>3pkdpx;SjDisI7VNL=g@MYi=PO^=M4!>N<62j!(nC@!pJzQIKZ
zRS3q4bJm!H=~wJc`445Jj^&tdMDZbm?lQxIBj%v)Ab+&tjuP4tQ>^2o$cYZEa9m$d
zG>71f#pSlcifE4eQSeM2E4t2*ZM@M5aH7N3YgkVKHCj%rO$;-kfg3L8drtsl{~C?l
zCm@GvYnv8{9c%cXLf&5~VgLdg9#%?krICQ{<<<N0%ebxO$GE~H7<5ry*qh#!M73Vt
zGqT0=_=$-FXP;DUf!87(Eire*5ygEZ(Mod`?>0;Q;PTrH$ilqt0k1_-vtzaaN#i%J
zHk<P3J;Mx=_KscOFCv1n(hThmMNZ*`5|QhS2vg`LWb!V?3n6)q7wA6o6mExxpHh$s
z6wcnF_DKq&H%MNSEqw~Vzv}T&gVzMk_f80h-Q`CzvF~L)7pC#L@>4#ieT<>}Yo31j
zL0%+QR`a7ceg?nPI8U^xGXfjEXH%3T+(;Pr?6K~d#YvoY{JDHakYW+0cC?NYopP!g
zHT0dwpRnlUoCq<5E!)q&d}2sMopM5~=~9chVU_2u5AO|Nx5|pB?J_&ce04Z#ZgU9_
z`l6FlW@rGDH?R45PO_n>cV{!Ua;)M4KdQaQZ|j2?Tk4zrB5dgKnse1Y`Wk+&RNv&1
zs6Na*I%UUum=$e^32c8Jxq(|`dG}pR)`KTHarf<J2<T2Dz1MT_FWzXjHusUB2Zw!)
z-uf00kfT$}Wkp?PWT$Xi>_nU{uu#kQjGZ8$$2K0)yDqYzI|&8Wegs`m6uxBh@dyDO
zoKl#znk68z=%wV6i#l*J*TMKy8UbBiVv8FJVMBp#^BFrubYLPn^VEg61QfQ5W7?mY
z1Jwt0`X4XWhHycdwM{xJim$ezc~lY6)5Lfsl7Th^X74-*b*w1jybt+81Q(i@&g4vc
z#{gTS!F3i7HWagAr}o#E2UQ2zr1u<VKm++K?kK~Kc8J?K|2@Qqj`~_QGx!<cEdTn}
z`G5Zouq5Pd+6$mVza#O{dOCPwpPjc6iHN0sg2O&W5LFF)d1UEN2U?(WYYKxC#ki~a
zIp9L5%s>Cf9dSB%9eQk%a+(XRaOH$ANQ)rpp58^lVj2_`;A3cp8(nm9iZRL%MJ|le
zo=++?=<xUU{&A5P^(T3bij&1rVb%!#{UH_NLhF7HZ|6ts;nvsA^hqFbJ6FAX?o=pl
z+<7B7PXGza{M@sxQVQK#a{u#-n+jGp-b<e;7evnwT8v2EltF45;g_>|v>+#|^pVS3
zAygbq(eQpOhi=$Rl&n0^f)=lDp<+BD=m5F(Bxj5QQf>PxS6!(E&9`TGe(V=Tlm2&-
zKUXNCMJ?KJZHv~w{h1T;?4uakqR1D$GOdL8d<HJNE@{Dym+X)cAc6LBTmR^=R6&)$
z;;QW&sL*)zKhn5>6yiRUsLNMQLVqdoIr*JbP!`8Nv-U}&lkHl+n`OvowC_nxNhA%%
zJvr+OpUR?#?Sh7bH`Gu??zel(6gu=&j-Pw~R30faN1Hk-siQreN7A`#=}=+L)G;}s
zfMja!q-NjMK%PlI2Rqyt&|Mj>7R#!H#=it^d8DO<?9K;$*OStQl<6NiIjYL&amK#?
z#EYqD`fj=K_=Yx&_);mCcB-Jgb`Q4eG11YgX=}?D7G1crGPC$4hJ<AI>{uPmqocg2
zvfUySJ*dnutyeBnMP37r5p0SKq<_g&+5f0MOzs!{sr-hFR&B+3E+#Ng)Jv~m(QX5%
z^bibh`Jskxo@jRQYGa@k#G80`rx848(Yr+&ry#~V1K%&*4D{Sj&A4vB7}$2{GcWY0
zqh|ZvJ40$1=tT&j{oTJ_>cNyHujgwZ9wXA4x(5TjZoLxNFR%srnYka=n`)xVxmUKG
zdQM0CpO2IG7hsUc@vi!6g(hm!ZrI0IqoLr{b{4H<0KwmN%Y{EQQI6l#&oBZNb#|o2
zMd+A=bD2ur%y&)XH2q#pvrYr8ew8@T)@}~Wd53he%QVrp%*`#W3KY~GyRY%RsRhIi
z24(iqG?Bh=#C^J-D)L@GPk51K0Sad$Us|2fKsi=XnS3e#__gka2fq8qoq%U`QP<Vc
z$wE7mgvScVVKsRh_qYXYt`L~NB~g&3pyrPe78!KFt~KDym<61>#B)PoryBZ`<Mwmy
zml&#L5XkpmS-_8@U+bQ(s3LQ#&@+*iLg=+bVD8py7SONmaq>tS2{}xU1@@TpAbCCa
zWqT(J_+z#t_E1y>?eH_s&Jq3Bf9y)r@7K+NlW?6mI#&txppRx$j!nFL2Ul%wzByR3
zyL+|EE27Xl3pI#&0S~@1uT3y8hf7XPM2fdO3S$hivX71797(aehh77W?@k#=&yqn2
z4Id>A-uZ}M#3=qTJ^)tIUFRKVB$2`qUXSue_wd5s?AKI>FgTJOcw!_}9N7_G-V5n!
z!)k>dZyRUF;48b={y7Cv6dfy&kSg4b1+$z<6rpc{wdy}_&a4X|LXxsW!PU>0wd`@Z
zes424t$%h9V;4kMZ?Mk_%Y4CVC9uJzbW_Om<6XP?e{TtSn0L<M3)auqP}1390?Qoq
zH%pe>h|5JW$)ctYiyx{gI7c*r9-3U<`@KZ;?EqEn^uv!>(t^k`zr8VZSxgMyde4SD
z6`q%@H*{fk{c8tYuNlFogUOn^QV1yG+S`-a>~FBF$>(R4#|&ZG&9^cvl^NZLTED`5
zy9L`3eeRs4sUbYmHggcq|BENKWPU8Ya2M-jBIm|t8$eC^vr|?%>$uI9^0~IzTlm}3
z4y9|0`XF~hC1LXKD()36I&{$n;pOCnOrPEQ@Dj1mg<mb>XHO?vO$@)rPje-P+-mv9
zDP3Y@z|<n1`fV!p$&+sUo6^@*eX1VReCPMF-@AYl*C)>HIoF3jyO&FzFVF>xJ@nCa
z*?Ii-32o6{i~sOEj>zOXVO<Ds-0%;TnZth?ns)NW4dX$%*3b5&>Oe;*Q(A=EEPlUr
zKrVRy2<~xOen$sU2Sn1drt_Z9;33BiHYa!d#JkM&?vGy31}c7FLOW;%U!e?o4OmRz
z1;p<=@_4l2g;uMqxxoxxtTq;Av3(jhd*7t;F@pi?x_{<k=`*-bMz@|<{S0m+K!0>j
zjsY&TECFzu!JYT&9M^T9!>0qHnKCNr@Xd35<@B`~e8jPvu*toE@47D;^~a13(z0#a
z5c4el9nW!l{do}&m-asGQ$ho$&ZTyd%d@zwbl#ommSx<~rZ3f{mkLVp1Mvdb9Nus`
zkZ1GtDn6Eq+rIn9k>7J>V(o(Sxb~jYC;Hab@S>fo)15Y2(5^U4e9EzaZ=C%vxYlhG
zKM<Dl%so{T%w=sattc+ym4A{7xQ;WSv!5q@Pkq#Y_sx^R6ML8NZc<Om>IY`zevwmS
z4_O0ZqC=%)JC<=#&))NHP6X8F(gR{=)WPeRkPxfqD!!H<U2}Pk6@C2gQ032W6nMj8
zAmJprhUe{&%y4_mj%0aCWTmVq5K-56wTxo}Pj8h-C@CkR%CI&vu~rQ#0<LDYQ~u)m
zsn;Jqd%=a=b`C00)YO1wZHMK23lq|<a?^B>;6?V?fo}xL$k5XFJ7GUB3nJ-oIMa*x
zk)8L+=V3H5WbctU))PfQvsQ9S?%IOLv3Q%LVXG<-(jRbWaIvASR}D{AJrqJ4BjR6!
z{8Zt+I3?mr3p;uqqTb2tErKfFsAxEItAgn1{}#iGiAeW*uyeeI7$Om7(-NPNpdlED
zmmY8-P10wat|Ec>rLX-QP9s5iL6pnOMIK}n>@{s{Cxxb5SqP;ENg!tOn1AOHe)MCU
zO|7;_1|?$`GNbp9U{%A-uSq}<Er(J!kEzQeoX0ow!hRCuG1>ZlyeNeBWgSXeUijy&
z{sA_L7f4_n<7rr>B7(LU+=)4NObOYS>{IIKBtiP?=~@5pqR4$wIMIQqf;^9TkGL4B
z0>|j=;omRB(SFO*q2wnd6#kk1bhJ|yR{S1bobQ%IyI2+dXOhXNyjpy4C6f$6-{dv&
zh%!hZ@J*LnC<S@TJXm?0sRnHU9{zg+<&gYU)0~JS8tCpu6Z2dT1qL#`9_<ZRK!*gA
zm?ERJ&~??W^f%rbFds|)z4qpxSAQ5^5>KI_uA6)0&KPKc%7uXMR{uP7{`PF5@*6su
zm_bG@2WgOQKvRvZR6%Lhf$D)B4CM3Jv_El!4igc!f77X|$n91lIkiq3eY&nc(;cA=
zk$s2NCF;p2KLUnm@j6H~D9un;MHl*Z*9>l$P|$o^Q`!}ZE|R1xx70A{!_>zj!IXcV
zcs2ZLrqT^vWFczly_IMPjoY}-hRbOpqN|pk|7%_3%)NQpPTLs9!iSvI1GG@*o{wA-
z_jQrx%}`lNs3|m8EW2Btp(0WsM^L4iE?V0ESTMd}3n<f!3by;v5PRlR^M|22$U8^g
z;$#FsJFDNT(sdg0vW>d0u~Qq}3TS<h8)pvOb4gA+NObhZOTbd4pN=Mb;tlJMTEN_8
z4*i>obY$e*dn?qOiWDzs7RDG_Lg5X$<dE+)l;8GYm*gRJv@o&W{=UZ&JZqgEZfMYu
zb7;ofWe-(kC*{+Y30BZzPBfZVq#`ks3lg=)N~pCQA{L^ppwaQT(psk`s=0JPA|O--
z4U0YhW|?ROF_&kK-!#!c$CKB;-~KIv_{Ze6f)7~1U59~c+eix9`o35w*OCXFyx9=O
zPqKnyURspIRWcI1Fd-i6%!K;mr<%*2TY_WML92yq5^{N5)g^rIC*B`q^P}9^60Ajt
zdmm*eqpu#`X8T({U^83^f5*Elpm_iG{?ZIZ<Qotw@ppI@Q_~UKW@cvrj*&bZIv|fw
zdT(>Q>pJ%5pl#>YW^;(y_@LB%RvPIj><!WvV}Vm%2FmBP&B1<O&{^gMag=jv=~Kl|
zR!EEJ+jXEEVB2`f5uTeOX#d@~!;!u0Ao(^`AwdOTm?Ha1FI5mZn6kvraudNIz+xuF
z7K2t6<L)Czcu`C{U0bN02&zgmN6D^RfRU6NlVV9kVPVgUH<pROoc|${`LG$#JSaf|
znFORcnY|)3Lj*2fwmWar{_VYeHJRLXo48qgsfb4d5iZsV`ZG70fUXvH8<$?jE0s#8
z1ojcZw>Id~<ZojzmSSB{beO?wZ`-a0G7;f{pkY%V)figGMW3u5|AD&}KO^%Oa==<_
z(@XJiBe0dqXnL>Oje9g0B>mXN0bxtg&V+VDK;m)t`gKCFsi70ELRmO~=Ipl4C2a_f
zk4B-V_5;@NYF_SW4?9>7l}=Yj7=R*cXE(8G5bLHM%$09t2Vvimhspi=K(34@ziS=C
z5-J|Y)V^hhQxbiOV5tvREyIFL^rx|C*T)=5>+IkeNNc@VqX&Iof?3^#=CD=M2h|7d
zIUwe3^Hv&34+j4H$uj6!z*N2CkG8jRz((o?7WRJ}r<ax54<BB}_@9k^dhJbwpSL+H
zeoN~@>G9K*7spnyaGzwKEO}0NbiN><uRsUbf~-!RcUZ^D&ad;BaB>0HjWkM=st!mW
zy*uPzv57ery{;OU=7u9%-6F3&(1s*)iES6+nV^YiziY{Z2Y$MG2gg`zLtIeHt;srO
z;M1Ib`Ckh!5cqe9p83jvx$45;S5qvIhS`_+dGG_rGOqVLk^!~TZ`t}8tRR7@pEtNH
z00quZx5P;?fIax|--`2Wusjl9EuSI?27XSJ(=Bv3xlz+x`->eqjM^_M-V_4Q^;`G7
zj?!U8q2rI8KM_vtn*VX7OBhn6`Dq%;bU0Mt_PlkO69jtGPkmDmg>y&6jPjajfRFo(
z`;>7*nmPBWb7^8=XUuC=gwddiqujzLoEOZyJsdcsB;ZQ)SE%Tw!oFv+jeidC!<XlE
zO4BbSVJY?SEEYwDwT$8V2e<&RPZtN?&XI<XYo;<v+W-7igui;^KS3CJ(uRek$-;rJ
zl^xzpR3Lu4#v&so3?h=dIkuL`!%H(+ABRybaDSQ+(79g(xb|ti**mWQ+$Yr8Oa9#z
zE4X&Lyb=Y+HOc&Wk`nYXmMcP7sqpGnyW)_YIDBR|Vp=?;49B)!@DjA7LfO^(l%P=w
zh+Qb|Ki#4NQXjl-x|CAkdgiwm$@x;S_q%u)vzjXW7O@-HsZE2DonBbXF&Rj)_3@O-
zBSYoUqgK8XG)PJd!ux&XU{g9lI8cfL7c_zz2*GrSI9T2JQbz$;2&rv53)CUSHKQtE
zjSgyg*F~MI6k*<}ZuhXFCa}kt>8#vgKzd`zyBJ?3c&0i~Q<Sd-=RXdmXNPHnA`jnn
z$#`X;e&q@}Or!xlzvyw%J{|b^>{pjrr3!p?biCcFK?i=Kt^AW?y0DvVz*PMc38>qm
zQr&Pmgbt;~rWERd)VCxvi@&NM%u~N<X2^gR(aP=nru4zPk6D#VUJYWu^{_@>W<dRL
z+whv3A=LQyIvda_&{weYiCptPANKN3Gyh}+WA@WUy&CE;vA=C;>L~+$g*x2UI$#3E
zJC=+RxHKS(TUlW6A_M*h009606q$EC)!!SyjqJVm-k0m%YwyqFA{iM8nPqF(d$f#(
zQnHf7HzK=8MdWj=l!j7~C>2>**&6!!{eNDs^PJ~A&+~qt*BLxh=J)Zh5j+|naDCIQ
z3c#1j|3;DmA+qS%(<~F%_^6&!<fH~kuCKg!lF2~aE-TVt1u&?&&3XN<8d%tD&s?)4
zLFAwN7kt|R{(JoL$g4p$Xzjmb>!m}4-?zt?EDoB2bwzgOYNr~QG{<;)z9Rsw+%e<%
zDO1qjT>Ug0r3N0Pf1R8<${;=Zz#)4-6+Vn%dsAjrVbuHi=s=_bEb2u~PLxuiI5tW_
zmY@oqf!ouYrLvI!MA1uafC{H8YL+H-39wn#^7(SB6hyf>wHb_4A>@IFVu7d%d<l}x
zz7!@3aazZ>v_DW`ApFv2@sCPikuq|ZIaL5WS>N@VHBsSB$B)qU6N<2;8T4V4g9ip1
z@}`uMsL-<T+Xm-RfNoM;D~~ZNEZP%JPmrk)eq}ZKQK1}+Ub@RQ9zzca9d#+e!=~^(
zaat!yMivGWn+nCx{>F4a#|`d_H-)QtTSqEurQr;poz^?@GPa-5-sA<hDcIk5`MfDr
z5@={Ht~Dor$2^Alx?{=#?s-g8q@RmH|KKXcW$7)3h{91pdI0U`<mQj*h=6d{r`qJb
z6<F~h%Jt}c4E(i=DiZnxf$?gp4R>QFE<-PIp3-gtW&&EBz8U-wc~j?Tk<A-C=%8I!
z*^Duq-6I{)700`CPnOOquixXO-13hfM2z9g+~<9p+1!ve5DEKphVbGNLQlB85p=~y
zr=kZOfc4%J{z4eS#XeoAZOt$Qji)=Im9PSp;4?ZQ@E+&Oi<KC7ZU9G9;@J0%FoDY*
zO~l{+1}Ad-d~=)E0B-I3w~-Ra0Q@X&p$02`c&o&R7LkMcP`obRR%A#ITDd{XWuhH;
zRM#xm=3PCI#8wnAXIl90hW}}YxGMbNzq-8~%z9vOwRq{b$3HB-=}cwSlQJwmoxNSw
zUl#=LzA0xv{RayviI*i5AZ+y1s3U!k4#bUdhQx6F!rone+-h*_1$Ir7&EPme2V}Dy
z4_*4Zfd!m?_+OjKJIu&DuFf}C8%E#vs(Mq`vCRpi1JhC;G1l4|#SA)apfNk6Rr7uo
zGf*nNV8!+Y6F3_0@G4ph5>-pfcHLdUe*HlDADPB6-;T~+jvtyJ?xbbZ)3=OiNVU^r
z%#+x_AD0(|08J><&&=nMUd9X*-cvofXRy;rhkmk-Yk<Q>l)&5SpO|9|wjrZ1hh;i-
z4(0o6fIQEI+Pi^2u`5>JB|U5xv0h=L&6b&+eiasTV|4h5?dcEVvDp0+<B88W<r_%>
zSGnCZqkccJch_I(1g|e+xq1>7r?<)AJapP*wB#oy<wa@@d$fvq{?&QPa)}J#9}{zI
z=$5gVT;H$p`RkY=ov`b&G#U7(q77&=ma&qlESv9_HnCw>&g9@w5=<KM%(&~UU?lqe
zMP8M^u!k~iDg`&y0Z;KN0;W}rQMM^?aOw|6<h8Pl9w7qpRZynD-&IU*9O$m@`-gpd
zpEJN9PK33veD@aNbu2u%{ipN>4Ya0N#vk-k1I0^g!D${FSVY)9uCPONP*!h2C}~iI
zs%szPcK2>#S*t#u!l&sW>l#1H5~C{c@Xa6C?fnbWmD<)X&Srq^hK+j{{Rn{axE@gD
z{$L`noJ<;gnLttODR*bD3OI7Ec1MY9V>awB-D*5pAk852zhzAoc$uZ~dABSLIPK+m
zJ)Fh{trCz>Sg8z*7-`yPKP^l@tx_5u;{eTLH)-}OD#He&?Y)3<I>@t4NU+i8hQv3X
zXFt^`LCAV<=AzIp@ElFbSH8&u$$W{EQlJFq%k<8Esb>Ju>lb*f2z+qtLL*h@vm!`W
zaEy6{FhRUX=bM}%ekky65RN;q2&vDd%wM~(0I#4`4@<2ebWVsgoG?>_+4R*tUqjiT
zzVFRwOSLcv7~Aj|aw@_u<#N;57LJ`c!>fL0P!t;7w2p55P=HuZx-KUPZdh<}zBr^I
z0b|{33(;c=kV{_{;FiP#tA^XYUpl0qZ*ru5a%cT=R&&D2CNFSS$`#R@$-r6y*DnD9
zMF?x?zHL^(56Vt&j)Wjt=y=5|7kp3=nrNP^IC==eV|MTHXg7I?@T9UX^ee(m8LzFM
zX2Q_8$b6)ZLlNpI5sSx;DM7b~Om&HqC|v&X(c-~~5=8B>+4MG4hEFl~CLAw_LrW?v
z-#prx->>LWC(Tr#wrtti^oJzWoL;x&Yf%NJp_lLLG6`^rvk!A@kp{=XV&|F1L?HeC
zO|Fqv14P<(tm4{<uc(#U^MnLvv>ythUFy(?7ss^4%E4H{#$BNaGBgA_lJa)y+!fe+
zFaMB-RQGf1eZv&EB*tDf7D9ovua2sdhZW(TLF}EYts0=o%s93FLj#IZS><`>l;A7D
ziB{mGCOji-_dF@of<>P3+V@9PAT9bzc)73^X!*{vKaJCYzqhM4-9HiF=FOv(9LZW>
zdt<27>$n~$4cA)i)8FA~p}2>~4K1KXD$_WZ?#$1#R#p&21fV@4Clsj#C%nm1cZZE2
zbac68*GYBQ?J`<_ds!1S9e-m}ycp!I_vaKikl<?nk&-4cO&C3^cly8$fIVgFW}BlV
z*nh`*!)%cP`iRj?zt|K!(-Km%ILI(3KJ0B7LxuqvlaHJ!JDh!_%XgBF3@tfD#qF^~
z=sx>xT@K8EuQjJsvVa60O}&(~+bUqw&o{_CU<UfO6-GRR>X7n)&G}u00=ynA;55-P
zhjWkhdYrn6p!o5AI9?(HAt9f{q5{pq+uqB5=%^Z0u7Q_Yv=~rnop0D5HHWW33r?gD
z1jrT)=Y3D)hjrPQ!jG2b5N!W#__Cl1H2MTSc&yI`-Dx7nZ_}B>sfWdXI<=I*sVbzp
zIq@HMWaazpdZ`(_7AjxY0|kh;A7aVgn8KVlBukb_W{{Mq8D?!E2bGue8f=|k<2DEM
z^u+J(@Vzi3^`V^%EL*<QU|U+kee+#i*OjSYltoL^(<cc9L!n-SQ@?OjYnb|NCvOf9
zsf&ryVo;tJ$$N-Ii_W!7a4QLzf{dHHO<Sc9Ouj7Niu^>6E+|ffb6x_l>T*|dIl>Qe
z_h_@u-C;ofp}w=cYyhMV4|(EY9_V`7TgUpA5fNu!8HkEv;N{4AE^#jh?C$$`m>kZ8
zjuiKLw=0`K(W6g?)h(C-Yqg=fQpJSEy6$gkP>mrxaQtP(eR{AMUqePkOh{N%^#Uo-
z2!>=VkB?CPVdvlGHz*upLSOyBRz24cBAyk8%k*zxij6ru4a`i43ky!au*2)I<^r|@
z8b7hO6;JlMmNO#4#DlkmYz8np85S9sGl~5vjNMPAG9tISj@l+CeaP{UDA8g6fEhK9
z@qe9WKsp)6%uLGk;Pr<*Lhh3$Z10z`wxj<sAkFc+>2+JW5boIU?LV(xysS7w-!+s0
zCEpo2m*Jud?>H$BcYXMX+q!h=H@h&P#zW#hVJ$i!>Al+|+k67IHdXqZ@5z7+yEKKF
zWObl~(%w*WViy0Fu283y!hoh5MNHVUv_XGtC}vu8314U`J-z!G1KNLc&d-uw8?GAN
zi)iau#$PWLNy%$6qNk-a_cD{T;QL9s=4@;Ym*zOXwSX9rhwpeBzNrbDC(5m;B^!8C
z+^I7SQB3IMbGMwQiJEXlJ?_?v*)7~Q&fO#4mKjC+yi~tIs|g=g3zMQ%|KNLB?z0Bk
zvY_b?Pvwm=HQ+uQcgg$1+c^Ji>9WpfR#YJQp{`Cs11j6v3btKn5XH<Vj;WUo9ich7
zMSqV1e}^x&qm#6VTG!M#WzK;rjSu#F?4|5*haC2zkq+GwDdurm;zTdMUO)b6j=aMS
zmFlZ2^ypsH#(Gx(H)1@|B+!0^4C}`YRgYURpzozmUnd^pLD3zQUtmNAdYXFco*G8f
z`t&PnZ6+_eLv!;~)G!HDg1pP>RG86kA=fK!`uNaoW77fg9j~X^ZMY|_lLh&o7Z*IC
zAb?)X{+)^HREL|aoR($@Y{<y+sens~Aey!jEHAcI2e2(w2yo;;Sw|U|84ZLHbx-`>
ztw|!pzc5(hwc|oZHUF?`Z-^i%iQ4B9IYel&cO_V~aHG4^ousG_Vo0Fynd^^zL<ljo
z<fZ+}gM{cU{A9-@kiN*k(M!ri7?BKV>6hX|f-Wk4YK+q8e#iNobAm+3kuj*%h~r1=
z|D1BX$TG+x-TL%HDI%D6C`(_S7C<@vw<VN9Wl>13)OmMHB5Ve7w@StcAt9NT8cAFZ
zz2Ds4BXETXKfGF=k4T810|$MdSj#G)^H+x7&C{sEybS|2cw7|Oo5uwG%2Pxd<y!jY
z*VRFt`DpJ#k2s<aJ2RRuq>L0k9Lq=kBshp?X8i4zL=%s4<s-^e5Lt)YLX<*=*juL$
z)P+f-teQ2AOf6M3qwz*q=LH#9S~gA{J}-k9SIGup-D+sR6I1e9It4CsGAq*6%c5Hg
zc8))-)zKa<V#J<98eoumM3rwu4&7B&+Dm9Bp@`R2COMv(ka^PS*ijAzgntk(&^u2?
zOO-5Y!8>*CEc-8X0~AsI><VTfK|wFnE;s15X@hQ+HN*XIB_z2Om&ce(L9A&3AODE!
zLR)g%=casRB;B1Y%P>hnSNRI|FJ9AwG?O@AQmqPV{*z<4&8C4kZ?Q)1AsT?k3*n-M
zDgugGc8y5>M?qD-$+D{bhH%w$%{1VwDk?N;noDn`Ab$=k6FkNk9N&-BL>a3g(HVEW
zy~Y%@&Xxc1q5uXb96m^#+&TZ^+=HBFX=GG(k@Snh5kR`(Ws|ZX5nUTOV^1NFP}$)w
zhF~UBm>!y_&Lt92#ixD_$r&}Y%zN#?>TOf#z7f1K!bC(m-ABq_A0Qyc`&Zv}5UKF6
z#ru-`Ej3iEo2;anrG)%6)SnyXQDLY{c>d)sHIzlRsD4-}kK6^rR3b*HV8V61%b2K&
z;=lSxtF+0W#80AsRp`y2NYzigQI3H6CJFUYJrbx{H?IE~s~J4|@Y17WQ5jh;FdqMT
zNEp2^u6JQtr^2+ds1{?P63U5wUU&N_ABr{Al|TQK3U;DboGz;>q6ea?LUU^zNQ-|l
zJK+o!Zry!2b)ZfjO`6Cu?a^jL^LzVUWVNW!6P`6Wq9ljR&n_gr()ouc4e`rfe{Tww
z<kHtIr7~#1?nk0Etl|&G%HC&%ngZdNPT?7OY2-XrzCGVHiSIY|@KT^Ng}=fkv|a%c
zsG9jLtyuXR-1DD6^+Yy+35~4&WT_}R<ax85Hlh}jJoxhPGg$!1MefNJCSjzNrzKNE
z`xaaE+S70~5CguK(m5{+1W<uRyjV)fC#*z>aN<XX2?RW_4&HL*LyT_{EViY;VYABt
z9gFvjA>o*Ped=x=ly4F0MLRT(CBEfsOa5jAqK4n=FFfT$Pa<mk34126fTn90gOCxN
zwIdtvJH&=!xUU+XZXd@kW%2npIU2(Dlj%3z4$Nq<l<l)>{5Oo&dYmpj+W-ulG_Tv{
zF(7SzVwZE}7wo^a`zM`-^<lEkmA+b;9@Q%I@sux(VnXJRn`agD;m=Uwq7efv`e}Wb
zy^iMtrhqm%IO6pnqG-|Wxb-$pI#m_pHaURNn>_VP?AL{yJG$<l8Ghr;{fgg?syxSt
zg_6@Ns=DBz`KmCKvWf5S=X`i49AP2XoJ>qIb%61t?$gxHH9V3tg65vgZLB`nFI#p+
z8}#a3+(hrJ;N5$nXZTYo?yvr3HPlNRvVQq<&CUPB?~1lZx9w`jcRPgaUVp9yKNvTv
zlVg`~;kF-dYx$qydfgclmrb<5>JBrXNy-8qe`w2pKK>1kx}Eif?rVZzH9yZx<{Vz5
zJF^n)IEZHz{x&;G(gevb!tt-^f8bs1z9>g@1b0%GR0^%r05zqg6L!Nh_|Vn9_G_bK
zILSG`dlyLq+V0KUt24~t9y6uavK+qQjr3|q1e+*uM_uzv{>f=vI^=ACf6D~^4;|0C
zXheY-PL;J)(`kGy$uZ)z`V`($wpFw5DH%lB^Mk(cp2qFMbF6;fpTYZ$mAPD8$*^Ub
z;~||fjcc?{zS4D>!|6IY9<jY8!M{DB+X2io_=d*J!Fhp2oH<~RXvJT3;8J5Gh2S&z
z6SI55eA`PnzrWwgA$4_-Rt|K2S2v5Vc2sT4om<BByPq;C1`r|rqDLP8+aI{S$8s$f
zaTPyv>`VIi%^mN&cQ-nYG>;GM(-PcRTElN~g<rflp$ac&kNo58UcmqO_4t{5*uXcO
z&EJU-RiV^sM(cpp68_zrtuB9R3wM%{PtQmqK#H4C?xx*Oe7I`;F0=d}-2NDo@%Mfe
zXffWUn-jf^*Nn1;(d2C7DJMer=@V2y$Nl*!&9)W1FD|NG?FJ3HY(DDwUxqSpA9O9Z
zR9?f`O*S{Qx#<wOe2yD_Dgh^10WWJ^$M^7!yk)PTN74cNPT6`Z!DZp1vGjyZT(r4)
zIK-C$<vLK`uns7~vZoEr^?+Y^d&PQlkQEc^Hb_W&XR8Q4{{|a(rTxLj&q1WmK^F9D
zMIu0~UjgQ<Y<&(6Z{x%{Xp^d9Lp5<EYN(q6^lgrW`QN8ObH$1>&r~_lwD8-!6La$L
zD$*)>MUoCZ6P4zPj^#$B3%+Jb=jEYne62mUmL4%j6zFPi@gO}C*R^P}Jjgm&l{oq^
zAfkQZ+TNRd$d3@zT{kWV;X(^38m3HWVzP0PBT@hv*pE#gyd?+5hnPBe9axaGP3GH)
zP$8sg7)*CGS`Ks?f_H0Wv!PCDp$4bxBFMcrw1L}24!TcXofTu}M3I>Z=7Yb)(4AW&
ztGjIF;DJbIj+qZPT085?)0HKOir;^zIprn?*>X%>#7{iP%6h?t>#j87zQ!EwoFWJA
zx4imyC-b4nxSUgWv}Mr)i`$%Z&*eb5QYw8L1dy@0pa#cBIizsa^<$5oJVg7&GTkH!
z?aa?t681L~P-x(7?uIw=uzT`+g_gMp`uzT~W77#Gw5sp4yS_*PGz0FH*q#wX54XJ#
zB&(oee*>9QHx+^U$n55;RSC3az*&7DTNUx?9&xOlR)UigkyqYXN~7BjeKfYML{zEA
z`N%p+1&)=>SGQHmAeKfO^T7oY;uemmsq<9@V}oa5Su%2H&EvlAD{cxhXUlppc$)~8
zUM38;tK<<iLv!3yRs)?tGW0GgWcdEXI&#}Y5j}BwUiU~=6B)SaPDbwZ_2WY0)7v9T
z$k#t(?k1xax<zlv>>jHLu@S0lmI*3o-+)29bcYrqi!}S?hiJp8sz_o!hbk%w3anN%
z*G7hy%?tMD>B1PWU3;IYhBE9~A0(XCMx%ZgH>)S~LFIIDyZ1a1ofJLE%YIB7@rBU^
z66}niT7wXfB1u9jw|(R)wzSZl*Wb_rZUU3I)qD*L8IjL1MOVpdA;(vPC8Qlr$&F@7
z1so)!FrR<^h4UJSzl|~IV}mKoOASAo$RHzwae@EXJt^oUUzESlJu0+C)tMWdBO@WY
zay8w*>S&k5)k>!eW>CqMAD-?^Mgi^`9GBh_P#Pg&DqX`IbP44VF_R?Jbg>}+)=@=t
z-EHfq@GWy-&V3SR{Zt(tl}<7e+LS?07|+@{jG2RzcOZk6I}wR4f8|th5JSG|Z@c-Y
z%%N717#mQfioV?_sBf|0L-c8^!X_Q&aP3<0dQP_rq7kSb+~Q+KvoHQ^UW_q^F^}C^
z>8(m=NXh&c)1P&G<B~{kHoG~TVSLMxx>IN2d%M02dA8x79jk|1FPTAdDOuoRyd1K#
z9gpx6U&KVL$1RF>{G`#^hokj?42qA;Gt}Pw7ki{yxaVBNj?Zj1cQ0L*L`JnDRh$#_
zpuEq4Cj65r1b#9%d3#+Hot|#{o7&9;)u${z&sm#-!btL{_!mLsYA>S|a*7rFE7Yw*
z+5mWbxOvw6_)t%>X!C>vJ9HMbHic*cJasmDX{5@H3YP2=s}6I(Ri9=5KpzbDklY9k
zp{(ew1&7M~1_!Vutme`jHUSs!YqO;s3<!7E9blK`gyJag6Q_?GLk839x#J`nw2L$Q
z%P12kJW{>8=2C0~IIM*3yS9Oks;oEf?&1K(3dPqC`V4`cf%M>d#3IhEJeJ0~v#(LP
zuS*B5Ay9oT<Wu&4#rxQ;b<eSI0Bf>u=T)i!F#dYkTin};TmA^!Jkh`oB6A#{4qw!V
z&o?Q*%HsPl!Mlfj9vxu^<%D*Z<Dd0F{Qw`;y!#8r@qR$5+K3%YspKDIJw5Q>+$Uf+
zHG>`d9zQ#-#tz-XfuH{r=)&s4yJkhfpICvrRCE@`4i95ymLh0$VXCJ!o_k~!bE(We
z|0Iqb+VA*W(GArBVv^p!+I^cC=is~S_e1RPW6!`VmTx=nS-(Shq8EQ-X7w$HQhYcd
zVqMVtp@%l4SNSvU&)df8TW(3{335Wbck;N@h!)h>|1K<fOarl&jyj|bPEg0s6lxsO
zg2Nd{BEHDe!Q1SyFFkbJU@sICG(W2eNdos?%%s!9d`zIT!A)*}czb8hBuxkl|0ezV
z`!4X??P!<n$^(a9C!M&)qX{V-3n?~MjKI7%<x!#{FNDsec)Z;42XdcYPgfHYPy$qZ
z?{V^hUF_>fl7j{WeNBDip~eCU{?+fec=&;zo5r7MivqN_b;p0-V}+g+TCP}i0T@3g
zY*k-Lfna0yz3%qx@cGKkryqj^As!D7$~s7aGj40Kbab2`Qr)I&*e(QW<wD9NNeT?C
z?0xLk&jo!_UNpHHB4A7(yjSi!8Ey`rpLY1f4Za>U6YqLNfj6#Zztnv))TL$$B#-kz
zc3(pE>v(YpvbLN5d5H|67vxx~e)GbO#_OfZwvzBlxzP7q6dC>o^EwzP@q_rvz7!E@
zX*l_bwRg#n3=CcU?9o92usq=18bXkPiW3Dz9zHwoYqz0=$j5>^d1pD%ZY~Rtle3D%
zL&)$Un1xH4APn;VNqM`6%0Z%yo?P`gGVBkwvzDnBfu^GOcLXcsp}lXdq;MzBjF%3N
zd#uD@LcRDFWmW;2Wd_Vj*2uv7qDx}ok2nZEyA@2)+wp*}S7?*0DG->M`+4b!BwSV-
zjq13l46a9423GG=;9z*Hy0McqsOJhvW{s;rLSLM6x4s7KejGB{WGe%m&no{T>8iqo
zBXvo!LmJSlpD*iTCkwIZYBc{&sR6CjezUz<nlMoMf|q@Vx3lU@9nvjC;Qr54oIgMd
z4pg^sDEi1l+)7L4nL%}U_s4l@(ODa&`4<Ijjw!&yQ)bN~{Uoqu09zGb9k}n9Bo!T{
z2s6^T61!~4P^%|AwRTn)D9z$}OA$&CrCIt%B8LpYUs571yY-+n?Nm>UuQH4-maLw5
zNCutshVK9WAB{Bk6q#WvpfKc0Jk&&noG4RVHN+5dA6Mo((Gg(%T6F^L88WoH@a#GB
z!U$5r{C$ec3DBuF*)L8YgXj6%8B}ExIOqSMD@0Beh#A{8SAhf$Eguz?<1onD&@Xuy
zs|qS!i*7~lh#>g8G4Gq}PJ5(J?@PF@3bHC9nx?{Pkg(`Ge{KTc<h8#ZESFW`xy8Kk
zeIWu6zQ$%{dYOWuj^Nk*4m<v+aZRrDn-VOI8B$;2rr>CM{{qby0=(MzoXBxO0XWl?
zll57sAdtauH3$gsMpWe3Z#g+QVfSYAhaMHY<c3S*V^lz*Y{PrU0>N8alV9DQ3d}b~
zE27hs!9<|gn){15+;N@qcHT>caNR|Vf+!_O)*8GTn<fmxr7z<$wW*-iZ?oQFr3n6m
z3ukww@`EIJ_2;otLHStY-6;+Q@Nig=PMPI~UxC&h$^E9l{8Z9|qgM_-yW=-D(%Ilo
zscW0}SyM3k?`~>!k}Q0xKN%(_!3d|fTncryO`);cWTTKG1AS?E{l9Z*A$dIf+oKVH
z`46I_-$$e%I6uMwJwU?0yuaf&rq%uTB^(DpN1Pfz9+rUIRO`Wl&udta{8sH_F@QnJ
z!`T5oF_5}Lpu6h&6MJ&ZbLvb423D#6Sx$cz2DP8%w$1c&*v7f*4SY2wkW?4E+4xEj
zR$o(cy91`Mj>&49)$hh26~fvV`<);5iby`k(<ZR|Cy!?1<#zZ|;4bDY&j$&u>n^i`
z<Cth<#f9_!Mo`TEFXQ9|9{A@#Nvrty4O^~r>3Ljb2w&e9qy>v|L#0e6)8G7Y>}zJF
zdBlnV)IeGNSP2K{4vX1ji+#sLI%#gcGc^D=?w%5UXEqpBTbVF|DXhP3rRG<zKCq}7
z4D~v&0RN?mcfJ!d*byU(l5cZ*U~Cv`w{?jL9uA)N*I$^!UQ01mowU+}H{EB0PO&ip
zab}_Muly3$+h^n6Uabo!vxeC<I(I>F)1Px!R)1oT6Vs#4aqGgN!W-AO>*+zTqhx#N
z%L+F1&^4hqQ3sx!VQgi7MF*RvRy6qJ8s^gQ_i*5hHvA6&0RR6CS9dtoeH14%n``gw
z;$H5(_Q>xTAwohDg;GcfiDaZDQW<Yal4uwqlt{xplq54nk%o+v5Jj?j{rf%7_j%59
z&iO1g+CK9dnKdv}WLN)|eV&MMcIeyeV*uM(yagU#V1<_X(rz)c1p?i5O5$JZgYNZ0
zJ#|A?$jI8v$Ud_~1XmEJ-#hEWeDT@;e3n@t`)ICv?Cc6*lFH+>yF(AC1ypafF&2>Y
zKQ`pWWPxx}`&P-#dT{ky(b-$SSs?Y0xbnQ{8u*O%lXHCx@V@$Lou3jb*b8o<G{m#P
zQ7dXG_Z|jVU-$W`zn>L0``>m_Ut$MR+BXUBIXakF7<+Di%L-g^waorZPB?K##Ai(^
z9sYYyY1!+$29}0C4t3aYLkmljth6c}!cW(px8`7j`I2Xy6fqu%TGUN_-arGEifXcA
z3mbeg>nru(;)6$Bw@VBHXpofi?`m=>J8UTm_5LI;051-Tb>#EXAWz-4)3uxf1U&M8
zywDYbx!VU{<%a3Pd1H@;oX*ug-e`4I?Gc8h-#$9z9v#Tz3a)P<al^!%v94*22#kL6
z7Q4G%2i_LGmrIFV3v1Ngojk563U4YlX3(Ef!KzL!^eHzlMDLDOt|<}&sRreXZO&Bi
zxgT7Z_k<6AQ~!Kf<17JIzuzx^{6+y^qmAQ-as@!I$@JnmF)8rfmF==7ivs(<OO=ed
z2|;e$FX~Pf8Q_(y5fk^Iz_^cM6g6BJ%w-*K>=2TJicyzpdrb;#o2r!wDiVQ!mOEq#
zI|X>5kn64}MuD?+{RjX2A;G_0rP_VniZGWp>wiLq0zI+a!_)vVxY;Y*zg=7zrYCuu
znFIx%YfqCcC&a-f#`@UoeicyqCR3kwiULI!cib?zAPFJLgU6=cslu%*`!b}bDd0Dn
zb>NwoG>A5T@*VL|hX<x9(o;!P*z??Tr<sK;&{YmrpZTHz`)!|V&pPS=O<~w;i={kl
zmhG^Pj@1Mq?~{8ruh#{GDBTy_bVWGtqrG85MjN8W(hL>MX%Lj-oNMZ$1Y1e-?bn{H
z&V}O)_uy|DNZ&c!Rvx1aG-Cn%qg!<#IXmQzPA44->ZHY_@2CJ@?!)gFzUYG3j^U>-
z+88iA*UTF5O%*DXE~_pV(V+a4q*>9V9!P%(_;*}G9qvpOX2xxx!?~H-uQ&7!U|-6Q
z;sd)hK;h1%1x5!QcGfD2%U?Bw+=9tkg-c`r_O8#0It-{dB9WP|Y79KGT)7t?X@b+g
zVEPt+1{AWItz2p{ftpU;n6)ih;NqIDmg&a;s&=KE_F*$fXc(*0t<{EuW^b%m)ES^F
zGb(1!SO?`UO|-mt3eeJ$+gHlz5NgdmJonWCtQ{i%If_!D^0{L5t3Nb&E7cscv>rfq
z^SK)3NGe37+%Hz(q(Mp)ontGvC8T}s{V(GZ6%L;`vyV|v1;3)e-#OKmaNsD7TPT(a
z+x~Se21{xKmd@J{>#e|FRK+n)jtbMASEBzh$UyP+V`$e{fgA73WZOgvT)dD@($-Xi
zGtbIhxjC$XPx?C3uSgqSriMB8uilS!)kOa;x;3mV&1Id<)&k3i+Z(P@<bgV>d*y<;
zHK=B?3r_fGLXiCDJ9crBAU5}SB2?2F*z!l-`7CL`8Kt5Z(*z0b^LnwqTeO0Fc@?(d
zM0HqT>0u35;D@5ckDg8stU&a2{)FUjRq)?h9GpJQ4m-*kDh}?lg46bo^>}?%V5{In
zVCcdkK_4mo`;gTN7@LYOj<hHN+g7WbeFuLMv*{}=@|P?@uACWOWu^!#B_r~&mj(z~
zvr|ed>XvZ+V@`WSq#PjCze*(UI8%$Sn_Z$Bz*Ert5$^?Qu&2!&ExOywTxMxDJ_!Kx
zyUB}v0}?=H)s*SqIm9$~Jh<-W6#{N_H);F2i2?ubW!{q`V@%sKFJv_zT0mdR%OcYS
z5#XGP7MR)cgZWQ>?%nc-b<obodnvkG2vQX8?HW*=WWL?i{A!kK9ZZ(RZm6#1hbt~l
zFYjHOWNue3DL-s%4xA!cWEU+SSo?&{`=Ih9Q$t#7`T7Af$Yu+PY@g?Zg+ConO~!vP
z<L*hd`j(r5Woliht~@)45zZ-FY2(atsV&X1(<VU6`I6kUsu#u4CP(t*zA=@4cJSXb
zGl6$ipL+h5tq@bg2}<{SMwu^Nf8{+)HHL0k(SGBH3xvkkRL|&x!_3VRcIRvdjo`H0
zy9Zxw{t$=!yN=R%zc4>+l0$xTBUmmqURr_Q#1oyVm?Y0nOsCl@*0w8#&~H^7#CBtv
zIL4-Vz=GM&Y}Z~lYQ<s*%B`FVn{kp*TX)LN)w`GJ^zqrONw5LjzOn5}_rP}|XLh&v
zXT5GFBfK>rp;sTC-x2yIoAQ<5yr)oLce#yukmYjv7dw40b@TlZT0KnMu`50}=GerH
zyQZ>p-4i{KjBArEb@@W{bUWUUoqNpu`|oCXu%RBXr92UHboxwmV49?xMJ4n6vu9V<
z-($d)jwz*Vs}IB*+iW?Lzzk;e2X>XadJO3EIQCiRct7#u*SAw+aD_1N6ugjGONSF)
zV?y1w?}+CH!Gw)>6(K?AG-<P-L%P-1m7v64;<5Wm0X^UmaYOPfr)>)j3ah>y5mV|R
z>fclPH=b-HXxV3d#<tMFt|8NxMeYqTG8>SrrPoZT1}T-8bm{`dD)S|I?`tAAH7fc_
zdn@7UGG~}OrvtVP(~X8KuZh=o)NiKrF5);}Y)Pkz4j4LnKXrZAP3X&%GS($_6D4L1
zJmp)caIyZ$-o+o?1ntn0h3@+|MBf1tuV5MlqMA}eCrw@xy1#TTAK37g$f_BeeAT86
z5h32~tdCz4YeM5BL%aJ3)5lgxuLZTCY-WTa6#j;=|KaBOIDUYzj7p&V^3;N+g?!5)
z&mQ7N@z{Muw@<{9q;!|?ElsG<pAuII>m|74t(rZkgG8j(?lmHR$RM_rjc>!lw}kW6
zV~oI#FNECQIKg*LWXNz?vn|W0k7yWCjWf*{Ci-^xDmavAK<LiV1^(~-M5RoObo!A|
z!Yp>X|E9GXF!Sy}d-$6Hg1>6Z`D1Bggttnjb<civ7~6c}oz=oeVt7PzD81)9u~)6)
zK~t|9sK#D%{8I6m5I3K8tJ^$5gqF>m7q(G@1+w8aR*o;kv*+QLk@F{!8uaOX>3vmr
z^RzZ5^ym=bbS5?@DQTMUDAhies;vs*WBdzA$|J;R4dr?c<rgvZDX^>bmI|CLc-gNo
zGfG@N<eT8M{F`WAP;}>4RRQ)2g%jsy#t7s4pXU9R=Lo6!w&yj4%Fxwuso)NIocLT<
z_d}HNmtYqtx2&Nm!?}6hZS$8Wh~sj{Jq!vKiRoEVrE;AT?6D_tTdDsf`j-{9YPzlv
z{<9`oavPMudsoliv{iihGz;V&yU7AY=Y%bKJ}AOrs|cdp{udE-UhbT|{TlGO9q)HK
zdes+1ozd=+nk903_fm}{*<otauiYob6`^(_w(`2nAEMEA_$-eUC%lRkuHO@-0GEGx
zFT1$?C9>8pRR3||hJ}Q)wbV9w7+;ZhNqfFX*uJj2b+3^Js#Zd--O`nZpE^aiDq>fN
zEC1MJjzsfAy_kG>;B`4LwV8hS>M;w@b{om1m<oZTrfF)Zx*T{)`Hpi0tbtkI)cL?c
zVF(0`v($Q7h;Vc;EHGk+eWz;4_SGa995}G0XrC-}MoyognRCJrsmax|Rt#FMy!dd|
zKo;hz6&kKbal>@GXVRZZ3CJ_-+3F`J3#RWxe%Srs0mhp{9_7B$FuIW7m8U5S(NFb<
zTCej%<B{loHUT-vc$6wM;U^2%c5lxR+av_^OS~I*tth~se2H_et+H_Hb?ix(Sz*|B
z58C$TD1qaWE9>3}IWXw?2gEZH)c@vd_1dNarE|S+Zu`r_uK2_ZE);{3h6k$Bpa$&w
zo&9nO6`;Om|7iZW1UTMriW_&-0KJfpl;g#U5LT%ee|v*8+|OQi>Wb5ZxoOhBv#WdG
zeQyts_JAzNq*Tk0y0qcwp&+kXAr%-(XbxR>QvqHt*8f)tIv{m}OJaMSDjYiOM1H+V
z37plGtlf9fpwpu5RX%eS7q@91<ZsIG-dgIld?_7X<zEmV)YXLh4o0)@vQ?q!#O21E
zDF*x<$W`cD^^?v4YJU7atN&Ofx@6S#L71W9=M}39j_%U#EL1YAmoSZ5XK4T}+Y2>q
z@6lnxZt~l0HZ8clq(Nq-8$vDr{%v2!^}xM!36guXq4Uv1r`M1n?Ar3$tzefS^vUus
zCtak1>D7d__Uny+EzRVdiLeQX2N-f%>96{9p8>rb8zY!}aKy!a#0)lWQQ_aXi3aq+
zhi=eq2scG+&MviBz|Dz)m!88kIDc@X&D5{~)Up53n0f_p+{EZ-g%cfWDpjQ}#_EH0
zsoUU?rWKfT*r-gMq{GdPY=R4U4EWO4<hW+LHAGtbP1mlz7q{p~%=ptlHc>x>wA}_I
z)eD@19O&Q_t;K(psSTd9pGN`|*2BEHy7{qQ8oYUsc+xLI9ay(VMe5|Ohw86SR!S%|
zcv198WI#a)F6QJsRO(v~50q8@yIiOP*1;2f-Mo@u<g?3<t7kpfjj%a9yF~$x_X+K>
zTlwLSeotIx&U%QS*wCT4R|^_d$u}sOe+j8eS5unw*Mom8#VUh~43aDg!LPWRn3`()
z9&D<x0nLh9XU+^YD7(!gTi*GXDdg{BVJ2n+cFQyJeiABBJrQ!lSe6r&MeKN4!>r+4
z$3AA`>fPn}R6Jj&#g9%pkJB}pt)N<M-`!jJvcN06>^Y|+jBP4D84N`$kQ%QHNuo%?
zvddfcwd^Exv!4F?Ho+2T?m7Q-Swz92c#}|wnJ5l~{~q2v0-##OQ6Qi!1aiN)mT%6B
z;^ax^bf!B1w`puny5?Gt9OZN@*d~S%j^+v<a|q}>z1SmDxdx0s(bV?Diecj3n}5CY
zEa0JCgX7Lye~FQZ<6RrW#Be^_B4GCJI*2*>G1OOelE~*y7m9Nb!>&!Q>0WQmA)WVR
zM!j7x@seRx8!sV-5Z3rnj>jC{iHoU7Uu<T+yF&c#9TY{5S6Zb*8_Yn&qc%yOJi^pS
zZDr4@62;9|y^aN4GzBHa=0xw1X=csW1FD^8MR8tWlrwYO1Oi->QYO>?Fz+@vEpZ+e
z#mc%n=HZSe@TxLtI6-!qX>Z3tPmL1A(1_C%t7>CdmbrW0MuZiw-CF5*ct#YxPFC*@
zRx<|cgNB5tFB_UZ=ct7mQFM5*Cn_w@2y}d()g>fw;G>8+vekkpc683DtWhw6Cr<x(
z|BK<m$Ye8*6P{u?R~OzpT4)F%!b2Ylwys5|#rmuh9b(AJEQn?`G=v0oBF{#J7Zd*8
zEYI{6$Npn)1~;}Dz;2JNk%6E2u<kuW@H3ADzWTRuq;J)CrJblLcFz*PnSG`zr@AE2
zYBY18UBCby?1^3HrzV5}&$3CWm6CYU_8Zgxkv?Q=?6BL*DvW`rGzx#*mO|xWwi|;7
z^g-_QUB#<|!nmPYJn{ll8q-LHC(9`MAQ@OwD*QqONwNp;dQQsVA)bDB{TV%w{q)SL
zxQ2vkfhmO(hH}{XUVyZMdcc!rQ_WK$ia(F<>KMwF$AD}6g9VrMz(Z-^S=n7N^i4Rn
zy?L!78oU1)d>N+)1^H^ct&QR+T$9tb*sX~5ceU;thUkH6)2XGv&k|U-chGoOkrH-z
zinv$r)`PgCmE3lGQn>NS@9UyT%IGA~D5$(&53(Y6+#a!&#xlx3oq_!-7|(UbZ|`wE
zs0pg@k4Trnh>tV_%63(3<Q=CSE!2Y_S#Jv(#$?f0`UaDKvl^DMI9j>&>w%B;)_!o2
zN1Z>HEQB4@F?&vB(<^y>Sfqqber;61?v{-iV5NcSVW%#1Me4(7z};@q0!8$wEFLBq
zk@3dI-cZgD`XEsrG84XA2}}2nZ4Ob@#LU_kq*+e`aL%mQN2V&HLfqQ_(m1rRt@TLw
z+Ytje>%Gn{eoh&8ee85G@6p2SFW0-zBpE^_DLvSWse-%mUUb!*)5eqXE%wnSM)1XR
zu+{#QD#~gHdi^3(@X*7SBZrrbpsw|aP{MjO4EM?T^fI4<hV%eZOP4VmaE!Y9en}0R
zk3{%dPEqhfePPb8%2ixUT}QTJbqtf4B)u1)qPgjl&#gJ8U|({lCDd92XXW>LE-g?{
z{`hwJ$TMb8@6Gx<rBws{mnO(gl@uh>(szf&n#298_Y&TllTjhaxka2xK}P)1?v|i+
zu=Dfl-`W?*nC20npB}D_TsEW1mQEH>`gBKFRR<YEvT6JRiCTC}NnH873IRp6K1n9u
z$>@GF(4TL+CicxA=P4Q`K>kQHkMjr_mHKX`@CmNgIo!{(ZvYS|sT$wJB;)B9e$%#j
z>UhO2+IBe|K%DVY;Ot>C9-OdvX(+0OD*XptKD7XpEfh2KM95fpc#k`8tO_dYZ^Hf=
z0DiyOJ)Y+^aKntWslW#%+@M=kaF^E-WWVrOv`?vHXG1}upp7CPt>*5%FKP*=E*4mG
zo2sK9T|luTTn?x2z7@D5U<tE{k`7a0YUna>V1q`IG;++0o@riyRh<Y(E6-L%9g^Hn
zwpS7u4{Lu#_5%cEh2@>RuY!*UjC3Yfd38s1QsL$bfTM|j%&xa8V>`QntBEEFoli?x
z^Th&4`qsT%`ly6sYe~nPEQImDPDejm0>I<SWQNf%MZEXJLQ7j;5JhU1MP(KV@T<P;
zlg6uvlF4bAOObqdv^gd4VkiNdtdE=LdB|f+(LcUvBOcTX_4A2&Zvnq&3&JlI%A#TN
zY4)*$+}O$=T{muR0Y{A<xV7@jpxwUIge-Y3Y`*7i_^@OhxSW<qmOn3r#VP^Src_R(
zwm+=%7gz^Fuj8RiQxe?-7D6>Ia^TWN1|f0K9JU;4Q~xk1j@nJVTt*u?@by&Y+^ctH
z@S=;~DX~@z%lb?8ST=CrUb*Zv4={uA7vE10-xkHEp^L2&Cpd7YO!t!6ZBw}DVz_4d
z5ea)T4sj^_;y?$X57sN<rf@_2g@O5Z5xiWnKxxn9ME+1tt)(Orh&mkqOwm9D_hq~Y
z8291AHeIg!#}|yjsIv2W=M`b3jqQ}Ncj890yPEMT+!*GAS|k1Cgi-!Tz1}UqwYb1t
zk*F|X1l)ug3_cJ-hN76tjSD=;+rDY$>OLblVEk#{w*5lb=3G>E`ztSMo!0yl`_mBI
z&QykcHW9+o+#bK)t^Bye47oFQ*brp5Q5Cb~gfKY5I%nXk0CuQFZWiM-go%6Wo$pBq
zp^clAZoGpKhBZ)Gjj|1Zt@mVdvW5_9FWt>QKods$HoL9Kx(0CHGQacKMj`YGijj9x
z7r~Os{qqiO`aqX4;wL8w;a>f$%TFmJ<cg-Rya?3?h<cc+^hO99Eh_!;Y(#NPN+))U
zgg(g7pPi%|3geyli<6H-#qh7!&)Ln-^+1Mas>iTQ7>f-4ZCYC<j%h{azqD3)ds}bg
z7fnME^n9_lWB;-QTF3L9_A=3f{Xg^brQV3(iPY$TmR(X<64N;vyuyHnLo-Z`BoaE%
z+v>i2l16Wp=AZMe44}ks9XPR36pwQxuknhI#am9>FV<XVz|qN+3%fPM@N3?a{h2cI
zC|cjh8F+#LA~Q}qIV8l9#MI9(dar=CWw(-tLK(1g+>-r*j0C<BZy#6dQ$&jhopR|t
z45(yjwWS$IVsHkndTXZ=O5DHoL~t(yt{oQo+rQf1?aBbN`<=>2{hPS-E|vkOt}K5F
zDw0NY<=|22Q^D)9Uwv|O8L-LXU{b_C8C)`-*A)A%iiB;s>6vy0m`TqJT87Bs(LDuL
zQ7r2CZk<4SkDwkrnvVVU<eNOs-r2;wAf<r~IwZxC06j2%>S21@ToL!xlA?qdtGpF+
zi6qso2ag-MPE7ME;hF}?zSi}cC><SpUC2Qnl0&kex(q6z@gQy=a?!#)iI1<C4d{cb
zeS#_LBV}yrUD|QSK^yOd-C7wxVE`AK%`N-0RFL!VPyKdX3T9oJ+qDFSQ0jA7(K136
zPi)lMZa+^!?(33Ol_Exv+_f#3;-H4!#SFD)xm0wEKM{86j}i3Q%EoBOsN=syE9q7-
z9b77&k~%P93<Wzh8+Qz<qj*N^4qYD|T$HH|B2AlsvBYWW{cH_1KVLq2G*|~uOU`bK
zUNHrqvh&VEtGb{w_o4EPu?|);s$DCE%;C+uzxw$tWaOP{8~NNsMMdMn7h=lmz&7h|
zShuMrlAp||I}1^f#Vti5nqmQ8+uz1LKdXr=-bZ#bq$p?_I8(n{lYqWlhp;`5HSzCd
zn*E(&ElhHz-?Uo`K%Ze5-`}i>!=E(dvtl%{IKaU`FdX1|>9@8EWttdvBr-&OPy>T?
z8~x9&>cYp9l5M3Sn%Jo{Oixf(N0qN?-+F~C0rm!LDB{q>8?Arcet4*2vKL!P&3a4t
zz&z5J6-UOGQJ?Op#wjDm$s^VkftEnxTFOXyt${;ZRyYpbQpAXeLjT1mOHfSg9o{9N
zfii213zQzpVN7wIMogq72oE<V6w}qQs-gHUua`7V1sx4b^|u6HcdagSD>anmh=1B_
zD1maP)Xx7VEa95G*Eh;~RlE=_tIOCSim8cb<0^zL;mlbJ`A9+q3)^VDi#@_P{a5pO
z>pOtO?VqRH4U{qKhyhc=N)VB1pyqN3VBt^Oz6^>I@;EV;R1<iyN^bJFybHk9oY|a9
z8j4uuSjPz3#*JlcC1sPW0OcnxCwsZeW8T+zj<9wPoO)7jcz7oPqxF-P;-RuQWL{de
zrIig`Bi1TqJhlMV_sazj^QH0GzNYyB+cnr|^H$PS)B=ib{0=%dC5c_L9K5a!R*W{3
zb&?BN2XkYg1)qE*a2F??4-#4MRNpVIGmYk87wu=S^<50lUs7M3Rbj!5wx92g%a}vW
z5r&3NwkUGmy<X8R%!0{}#xq-^%wWJ+x{DM@!pBb19kB!p7X0floO@#m&mt;`Gh0OP
z$9|!6zizPLaL)mkP(xF=XWF7Zv|AW;S(o-*F=9m@8R3lMS4==Pm&cxRK?q$Z>!-=T
zS<!nV>DfMZ6DU@nbx1`)oQpqYmGNc`nmJi0Z(Y?3vDYQv$1()4%1|+8>J1xG6-{>R
z`C<fiP6w7oF7soslzCXt3_D)<k1g|_rx8dRd225A@L^C%xS)VGC*I$B)y3<TA^aK&
z<alV!heCU=?Ry%}g}%pP*M_?o!f5x5%ZJarctBs~lJa+Mq+C^E74J5H>X)9@9;Lj9
zHazhGVLX^ppZsNymjQHyXs2u{;Kioz2L&C4`LM#cN&EDOK5R>z+h*0ki${dZ()m01
zF@tj{CO=9aBK2%-N7wS<aBot(ZLuJZB)fGE@#zD1WB(t^BYZgLDi=1>C4?$<q`@=A
zdJvj?Yx^x>ezYjDWI6Xy7_VNBis{>+2ltqFwv}}9;|`OZqv|Un_)H>kR(_fRV#mmO
z)M^1tq&%Q;(M54k)oHkPHOH6U{@bvbDTq}MZdfE9Ud@%WUM~gR7!YglqweuxA@m<U
z{bRI89E;t@xNZnApl25TTu~FoYoCXGlN}^+msIu#mTo#UOgKy59u>y*C!hVe`c?|P
z_~%cyU!_CjRR+uU$0F#u!64BhK?XgnKRP~(po1HU5oc6H!Y9U!QyU363}4pDu5+b>
z-_uKKjYXokwPpF#P8kK<TXwrV*NhJ0t{*NOuNT8GO|HysDT=Fnmd+AGr^Dibzl}e~
z#Zk*MT_-M638hv@ZBhDk=q48$?WIYg+_-E?Zm}}<eE)E+e?1+-$a!~_&r0FJyGL&K
zy;Q+rhq@nY0_otKEypJEPa3sDUHxDEQN^Y%hsc1-beJ~wee*F{7N>&K#7|SzanT|2
z;PH=i$g<k9?KxQ<N0Mlo_Q4uxwsKEz*oXmPJGOBg`=EfE-e$O_7m<-Q;AS;P5d$KB
zE^N<S%~vyjy|?}x(nJ>Z-%8e0J>Zqw^YVDT5(>&@_%29lBddT_aDA&Dd|8(CXsuMn
z)8=Yy#z4Wl?NSdcPUyqgr=C^nMJiaPT6$J@GZn|2>o)PY8-T501+6Jh6=7+Ee1feG
z#(Ykddc4jMie~vpwinbe`PQ9!K2cp9DSm%mf-r)_tP5NZPN-wxu#ML4DqY<2IK=dm
zhcUdDdG2*1NCUsWcolMihlXu?96jzOn7~ImA*N_S#)g;!rtUH{T)X11`(L#w#PWZ6
z`getlEgp`#4qP;R@4ugCWyTCXJ$r0CcuN!0$V7YXC0)Gs-{6Km`a1ahyhE{+s)e7e
zd!|b|b#UfU5otWw0$7+93zssq@OCQYsdp_EqxE8A<^CgJN8sSZwRSCBll_z#<VL|W
z=kB@O-3)M7A=B~EM=cz%(drT_)53BFukDStRsOsZl%?=g3;zcI0RR6CmuEQD4-|l}
zot3?1kLzCRUVHUB+)|NLN~J;3HcF8{rR<0jvdSn_DjG_q_#Goj3W>~0gsg<@@$c*T
zaL)6b^PKaZcVG9n;fXpbuB=%bsc&cv>pQ-L9Sx+RthHS>tx5xFgPfm7BCX-%)3-W>
zTr^ZTe5~%=O*P!_+rQ*eX$?<j&y}4xtcA&kTs(CBRPd?xF}}$GYw(zNJ9{pNiVoi0
z<sF-p&`m;MoH}C-Y!d=Wg=Lx;`YWJG^gnrIcZ0{oxHXhD(r?@>(?Ibbjo~$k(&%%n
z&{Lz$8diRy$sWpA$FiZXr|vC_<1eGzTdW>h1K&A6U7ZLubW+H4s;m(~dVSG5#WU6*
zku++>wo?^fIQ(!k9}>i;c4KQ#8CZkopJQ$@nksm3{rr*7LcF-mhAbod02DS`i~X2U
z!ePGKN%eD_xV=mNnNuP_>O7~xNVXy#2s%a<-ekiI7PLzS766Z;=L=@tSD}<#)FE<c
zk@Pg}bXG?KzOPei?gTlMYSMRZteYjNO@?uIxe3VpdOS<TQU<lJ^#!I>Op%#!_K_+Z
zSA#}7JwjlY6i%G9TsFv`Bu)JH_}C;^LF$uN<;7_dC}0#7czWLiIU0QW(1vzPXc|mu
zwq6!P6{~GCZ588W-1*09it3i&*Wt9h5G{(=3Z-QYOUB8OK0oz?r!3&(o%?oI%tX*F
zt!3)~eS&n1OgkF&#vIO^*SWb$P#E1qB`6E*lcfDr+=W^>b4a<)*VV?o5;>y|rcLVn
zCELm)zB>DxLCwte&&x&vxTng=AtQ5&+^Zv7X5DNGfpXMeZn=C&pA~;ux?zUoFR<xP
zG&Kdoh)YMKH}T@^O4Zf18gt}>qZy@}vQ0oOs3(cSSb<$hE<Y3X7RX`tZIeC%CLrC=
zzTm!|2ZdfVyq<SmBIzNO7L#X<fsGbXbM`7XrXLa)Y;mDr$BdbN+aDts*%wYa@^WKn
zU0u|03LDNonXObfZUj|sU#F=BT=>}Hg?)HGJMM_j+*&hW2yv!7zjFe)Q1!i=@ku*Q
ze7o~*NY^n#@G!rLk9@fB<;A*0jtVXu%)Y>T{Eq<?8&*rC#Bd?#D9=tg@?e)(RZ!Sj
z1L(h3>^S|73r|e{qIgWLz}Jg~k|1CJVS5kns@3Mk8}1@LPoMK)nk3hg@@ytJZC^U=
z_JkWZJfxeXB@3YU>0R{<b0%m2_gYsM9!$~S+{~7|5~l+unk!ow!1<`fl2luP4^&L`
zV)h8*ZRKMj#b+5{cUvvKMuZpF6(`mwgovP|rgrpp4F)(31>F`>;ltVFS=-iEqPV$?
z6*=Fm4{|MhoF|?6@%SYjMGZl56r1ys6OYvgZV%N6fky)Psp#+%$1@UmbFO^9!Ulc#
zkRS7u&|ir}kRqMBAc;laEz%we>cenV;z(wz5PIz*lmjxPG5?f={_s;hQ0)0|!oOJ<
z?;q8d8`~p`QAf$P05?5=snttSpGA<kxU@>jQXa1vwpg_(>cQ`|QK6xOqF8*tc8{T@
z0zSMP-Kg<b7yj&*kvl9cjv5Qj7i9F5Fr#FhZ}ksdP<y8|rRyqzy9Y7@i7m=VVb<>O
z8qx*Y#eqMiq$IX|G-~k-SHX3o4f1NDdT__EVY<;=8YMb7=0s~$@$fUVVp|tIaF9?9
z8Eufkd8(F{gq%8x3*~=0|5gu<nd`o0h00;S?kIa+kOmTl%WYqE^}+kYU{Cy}Rj6KM
zHz?b$i4tBS;#cDJK`TKdnaxNM=QlPNzu%>W(U-GN_wzB}(QOKyBV7qSgGzP3ex%{z
zUhdN0Sqy019~P37tBk32iG&(x<LmXwZ5OsMp`7c<37;1#_{o~~XfaO*S3vnmIb{RL
zX;~Af)1-<AYSxY0PwQg$n!*!Lg$#kSMAYNSA2k#l<0nvDA1_;Uo())K1OhJ(=gA9e
zU<L1cnIozC$hOMXGJ1nC_%>u5DbvzKf1Rykb`%CiO#i``S4|+;d{$r8jEdS$e1(74
zGEie`jnmd~Q@B57Vyj`Qg^^=!-d64mOb+uo*LTnydRrr0S1HkORT2F>Ze^g$z--@!
zpB7NAY<o;*kcJ|M2gdz`8EBX|N`G|N3R2FT%d)&e$Nu9Z*DTWY(Nw|Io6@rycD0)%
zDD!IL@f&W7Y2Wowm)T*VrvVUjkillZRU6|yUmud8>tdV+^VNwu01-a^w)jKZcvm#^
zoRp$A#;#rYmg#B@=i6!XXIa{4`@%&#rcMhtIEZi2ZMOzf?#o><19UVv`%6@DohD}P
zZwn&KZ6KcV8DIw;$K1sl3Uk$Pv;NJttaCPCxWWCpY$6TWT~Y@F=9Tf~yyn~492>Zt
zC%DP!rWWp6dw-w>6)@uLZEvSS8@Sn6R~mYeinW0od=9^tLARY5XTD_GKyUoi9o@~E
zm{`?tHrzl0$C_$~BLi$8z-{Kv7K#SSwjR2kCn$n`k>{B|R@=ZHqoacZ*=o2^oV<ze
z`7qD7WaQdkYdF$aEs<cRifPx%8V-hVB7QM+HOjVz&o8cq5{=4uD2`ZbcyftstlaO!
zV`B|b-KoQz-b&~lvGc{6n!jY{-j>^aT>yi<B2v>@3P@S^;of~5A#;-`n+*K{Bsmmw
zPAAEs%a5<dqhdYenCFtj7XbiTXHd^8Wf`1Xa+-?U&_c!??$3y}C1AS1Qp>bO61VSi
z9$=YNlX2ZCZ<YO4L&3&t?602w+f$c!xv{?r$rBgX@0`1B1xc6Ly`Gne;`d7Bb17T)
z6B}D=+$Fj!A#6e;Ja|$Vb9*kh+DoJo`Wo^SQE5xK6~3{2;@(OuejpKhaPlINKNA>g
zyVC-S&&r*wKz@9mo!AiMkw)IScDb)P!yF_XvKpH-c=6Zj9Wheho|03=yW?=c3?hF8
zmV9gF#+BZ~CYm=Y$rbz0b&Q#s!I4ViV!cnCXf`n6(P;RQj9QN#Yc89D(kYPtBFKTK
zlcf(W4t*w1hEsPY448o3yVACAk!)CLW9}xe&_RCmQE7a*&IBU;2wN{x3dSn5cGKQ}
zC*$@gT=%_i3{A@gT@NglNP$>g8z1Ff^25c<_9tS-&{Flr+xOrC=>}aF;$!>CoqRce
z?JpR?;9?p>sBeypsr%eZ@C}h^N!ym?{}{qpanc&4;#u;slGCx=^igtkT4L*pLx!-a
z?$3Fy`WZ4}bYsY0#Xsbv;C<@UR|Al2>9zYwn<2aFlwbZ`8Yf?;1=!Z_Hh?wFrHltv
z(_{gY-tc>Pk~C$xsf2bi;cn}>GrXzO<gSCx2@)ey<hz6#3(9^bjNg>XJ9=}PT$l|#
zE6p)Weo|1%U;T>#0=p&qe|Jrj!Y0P~vIg^{J-57xu^$6cW)FY!wx1z0xzY!6Ll#LM
zOuyB`$pFRMa-RDKX2^X$>3TOOmdPPUsj+pb`fz~aUe!}HONusK+@!sZ4R7+@?Kz^S
z54smOGYbmlNZZPBM#+74oN%2q%SqCMePnYgU&}n1H)RlbfyRjkc;|{WKIww%i`ecq
zokeo}3I78xtGUo6vEf^+lrF6JIlnuyc!_j+#39fU#)EcwZ55ISb>Pvq+Z-Hb|K{~>
zS4_x3Ud(f~x*`2a8#w$uzZ_?<Va+?f7dbxs80t8wuqdMqt@+GWiY+^CTb1JOep?VZ
zjlEnpgwlbsB{t<^00;UUNX!%C5ypM@^PFx@(jZ#j=b^xRPBh9l&8*!nf~lW^j(s>u
z1J0RTi#CEAi}D`B+j3Dn<vf{-b6W5!;Av-28xPueEwYjv#8G+FZ#FAl3kHj?^^~Xc
z;{B^)Mh){4Xl@f-P;00K1zQhkJ&WYWQ!e54s`XMBCdK)sXMhSeRMtdtwjhdLS86q=
zmBDbigyqgcD$HLtk!l?hLiM{#>T$p2(815Ai7lE6Z`S%g<~A0=5d38sZLNT-<At+1
z1E~-*wmZxxK@_FF+rJgxuY`_!{2BZaR5-uHRz4#jj_&5al25%<#`-EQ$5#bZXpHYs
zbiX5k<rg(r<}_9OygYS(?F<!q=1P0kyGvn`n8PNMA~p19mBxA<)q;dw><R2PGU&c`
z_We004dkjnl^erN182vi<*+q!Xu>8GOXH>DRGn-^NHYy;#k|7wkFUZ&t3ak=qZa;o
zY1#a+lMcD(d7bl~DdGi<*z~8j>G-aM^{iY)2TC{YZM76p#;33TV>=S2gC#nKD!zrf
zko^WT0(Yq3T93dB(fjmJ8frttSo)y!Hv6>eeN~kHn`9J}tdBuIGAfI9FyQ3DMyD!X
zb(}ZrJAdW`17%9|lEqS(z{$&#=jyG2IWEaVf<{a<Hf4EFuo=Qp#i5qmCQZDRAzCof
z&cs9hYV9s5MzA?zwD$>93+2|kt(@6mfK}$>8DiT^AkZKy&n1k8SC=aq8*dt5{gOg8
zgJ}lBmmKA6U(>PLI416Kp#cv3ouyS!E#T`W_N4Vq+E{yGbHjdr1AJT}>Rn2=f)OL<
z!yTnM$QsW6xp#tzo=(8AN1K2t`5(?zCv`Emz|-fODie=!mfjhS1!%h>b+_%OE^aQ`
z;CY9Sfs}$B1+FKp;XmV*bst6ba3;#<Li)e{2qY8+sae=S=QZ27kqKSQch9Zqw9v*`
zf3sN09vcumUL&6wrHhfm(Gn;B`QR?f&(bA#7Ql>XVP3rsis^8C=rmAAt{oBgMPIQ%
z=hp)jp+;@&G?eq*oUDw634siS0T$dbjxWMQI{x?~WD`b{$Cx{3k8K-afqm7T)eXut
z<oR5`cK<)WnONGg^~*;V#E$%IdK^hbz8R;jU)Ks@gJsKBu>=<QUyGG>{iuNkO+#U$
z6`Z)__a#`^iUrR)Zh0qgsw2PP8K36RY4SqGXi!VD4GjKvb)_1rVl}VV>10Ybx!zMW
z<?ntQSQH-(d~`?|rKM{Y);N41UcICgS@c;$YrpQA-Rl*xzAq>~Ibe|3mY7FRIAjfT
z;VTE1f6C#7L;n@6i<%@pHKhqG`~=w6(zNmGLum|jIKol?ZI(EFUVbtE5Wo)=>0`+c
zB(UUsq`z4DBBA7wG;Q#i0M`{w&4%Aak-mDz_CR(D$R_qW`u|uBPoIAdO5Z4q?cLk#
z%8Dr9$}eB6G;0Mt`|w_E4?jjk|Nh>!Oo3dl0__ZGD`<T_+ntxegW?$#3<owgc(FNc
zX$UMKpf7s|qk;p44uwsqe53%MVn9OeNeh_ZnfGzEr{J}U4)L=A|LV3JRc^Rv4nE(e
z?YDZ&k$d(wo}XMv0llQi$&ev4czkS!@L<;@Dc;afZ)d(tOze^V?Pg#GA@UpLZ}tBs
zv)O54#LgvR&n{8H@eot^#C&L*rrl542c<7Qk60v<uS*h@Ehb=cc~f!km#<`*vJheO
zVS!j*!CCFaFoA6!Ps`{DH<ElwpIn|9FA(n;!$Zkejp6ej+m}Byi%37VOy>Ky^MtUR
zP3i9`BlvVWhuy361<|qdNNjfaJfVMjw~^s~BUpcZlVyoO1L3u3IG}W5o`7O?ZCZmN
z==&cOahY!=7BxtkTkJex=$UDf%`$`w`_lN2Bzz~*1f$b?+vkaIiUV1muM8l$Sgbp1
zM=#Ol?i<y!XMw0F+<(T?!~g;ks~hXS_7kapZlSN(B9VQ4%eT<yOc2TGdpvG3L{wa%
zRy<l>BobF{IGbw01ie&U%XcS7iHzqe>wl^&6B-Zp$X>5xfV%ZXiHW)~LcHlwmjgk8
zo7|J<&p9$+$Gx)QQ~SmV<Azl(d-&MkjC-M%$v1tt*!#H3abkj~d0_PM%>)}LZ{1S+
z##bLEPbThMb@eYXpZq6hbb%dgZL{WReEQIhXMK&VrU|?6JW|1$oG|ZXU-#8c4@R7?
z@>eg+5N5F=Zti|upitlCye9hJowO1U?fpDQ5S5ma?E~EK?9c4Vr}a8;L-5F#%-RLw
z`{;{SukaPHDR5%QQ$YvhOHBs(dzJ`(hg+tLc6=an*hHnmPaBHQ$v75Vr9fVsbonbn
z078auoKk3^gQerH5uX}1=uepKU>;fte|ufkRsbE=T^Y!@D$M~Gat<Ub?H2~ywb$>f
zKcxW=nWykKoD+P_S^fMEM1ZeT-;`xQ1O8j?Z?c8C!Q3)ryR4)b=r!=D?JCm(dv(jD
z@-iNHMK|$za8n$fF&}y-I%`49?125l1YWq3>ep+zMG`*H^R~GxQo%iHY{$SAekktl
zh}f<v4fDE8;XO~OaL8*UP^?4{9#psAIIkfKKTTehr<|ig;lYdZL43kccI3UK?iP8t
zCY|YVbT<{Qi#?n$+bRNPBB#G)=PLln3tdUxOoeNY_ir^W76t0x0?n_fN)VmY5whEj
z3X=o80((rw!3;0IKmJ!4&a9LwIdho`Eq1HogWDxw;gPIG=`mF}F6CBf`i%<pjK{uf
zGNoWeeDKkT88vuHb@2|_p#{EoU?+cs3|P#x`4?qqz+cUx>e>Y@kcI=_DzC^vji}Op
zMmwoMdCsLP_m8KhMULC5%2q*hug0p!YBabyy3{w?M+Z&E_1QHmlpt&8I?`Z?4l>L~
z<^pCqu;s<8atD?&+^R|K?&{J3$)Y4*%YT2DLAAxMz&I6nW^JZ<wL}lHBiPrR+@lXy
zK5Um>>Qx2%v@9j(Dt#z-IFf1j9|LYX_zj2Ks)Jsm-OceE3}8Fr9A{I`ge;pAN>>Ur
zAcS&v^!`331ixRh(l9cFrI0qQt>RRW=26@}w#)>!&nwQQHW|T|;~n4fPietMdiWY2
ze**|!w~v@jHGy9N$yTbBG^pd*Zd?4^08aj7l5N3eAUep;O`D~|d{RU_e~AGIOEZ+8
z1X+Mw>$Q3}ejV5tF_0AKX8_cOrnv4<D-i6T`%mMy4&?hBVNUfj;lH4Lzr`a6I95<m
zvL;;@%mtf6-FcW0F+47s@B)Cbn<7)fp$Bqa#<knO>%+ZAi(wDbtzr1q-QyS4^k8RB
zTyN}{E@a&h*qi8P145a5Q;*H)!l9w*O`BfOA<gaD6*~?VJoqhA<`k?8eNWsdH%zJE
z5PoTV{2U8J<;1UNztDkor({08xuym|o^=5_|2UW*<1se&KpT34izI22O2B#G*kjX4
z7R2#Prxm)>;o<kEHTQqX!hzR&-JXoIK=<8$7oGdH;O3Khr>2AAaB^9^TJ&EY_V3;G
z*(@q-8i`-CbA=!%3CHrW#j+sRsENECt^t9j)YhpN?65C!1z!%61r|G6HI<9iz`$Cs
z(CzyKF=bPFfwRU2w3wwF4L?+1^Zjr3OKY2n4WE0>Z*Q@I?H8YSi;62l`$E&RmYg>7
zn(z}r^Uv0B+hRk}{u~96cR7`QSnD^L!0llc<zx+bc*ZS(B?kddZCA*KPmuztVI^Ll
z0PYUT4!#kQ2Io^@$8+N5$*HT<{Kc&Re7wCQD&i7A|CRdpHP<rv?MdYuMgakQK|l01
zY!ZcE2Ug#A&!8Zev7ox%>(vl!%j<F`ObCqH<%+$`*sw7;<5Y8#6+EXmwj_4)L2$un
znYSMsx_Ff9oSw9V&rd&m@5$wc?8<fT%#X9-xwD#8Gpj5?(y@5I_ZN1k?UGEj*Jr~9
zkEjl@%@!a<y;)k+u|&9)Z(Xn5LctR|%i^}hm_tRj&+Yp18KNRG^Vrle3Q8{z9=516
zg97zSTOMthAoMmWZOZ-UN3v^=PuNPB!N`Fwj;^U;;@+ah@ovdwa!*Qu_q>NG7+xEQ
zJ-Dxzc*1VcH?whxO#YK5)n8%)qCTD%4gA}PU;)nQnXE-pP10B?SJDJRbl#tdE`3Wl
zur}m4OD&QjKNMBk&KQGRvs$OT>j^TBwOKRt#Xld-iN0_8)d+gF2Te{`Rg>DhnSLHo
z3uL6q?=2TL7(u|m*I@U-&!ku9N1K|+1#;-LR^pkLh7hY(npV)zMap#5FdqNQ^D*AF
zXjI1#2AaR;rY!y-r<J91augQHhp8WnN^k%3P@>_%;M+b@>+|*CZ!Z_gkG7vqR;n7n
zTl42JPj(KHYrM}(#$Q?@vyJ`#_U1BSLBJ@cmmDFvGm5w-l9tINV&abg?H^C?MY736
zj*&C+m%h9@PQlfDooDDp3^1blrl+ZolZ^u<?w&L@lscII#RwQMrs!q*u4;mu+_3&~
zDi1rRe6cUmXw-)iSHHd2kNzc-YL)FHIXSTL2KVZvgZj{`yybSW%rx1WcTVAz3MY<t
zm2Zz&)PuwWq3<rX&yZ(4b;j5{xUjS_Dw)kh5AF(!J=yhmj`Vk#?DeVT#wwNM^0WY5
za2~yrwKr#hl$M;^ePrhf+%|aIA*$lv-C2BNUj1x|EQ^eh$QI^9+N$>kQW84wrb^NF
zmp=tvlq|dyr}&ZV-pE^ULK_?^Z-4i`%Z8pFv%V~WmAJ5VvADXK4p*g}9E``=QNZx@
zn|*X)+{xnZp{%9Dir#zq@;f;3UdQW;HJ&1<85^M{Ptw5gS$>;BI~U5<eb<Pp6U7nP
z!!jIeX^;-A6MKVsaIpN|*WQid_~qVN|Hdy`AU6Jyrnrt5EBqWS*NsV_6XUf;XMh&8
zt9zz2n(*WCb}?S{mr~d(bRw!m>tB5R``tX-1hLQT_V{$Z4AN8CD>e^PVTZ58;Zs>c
zsOIaKOMN4UrkC|~J1VGP7sM?#wo(LltC&_z2q++*1T$jpAr(|xKfH@SDvI_4dlzq6
zE1`?8Vh|QnVPhF<?}ctL-0<D%M0Juf?lOPL`?{S9_e#ltD*+Oivg4?Q6-5;#%#=2B
zDrrHm*@44{^`)?O`?I~BVQQEkC*TT~v|ti<uRFmfgMtZ(m)|I8;Fd7H#C+v{{ODf5
zhdgq~A+DgNTd#=+bpNyD`bC4YR<FdesH<>iV1=Z7f)?`BZP|3SpAJ<Q$3vz)6*1$6
zmb0uo9ZkPQKmV$#0}^F?TT6Z^p~Ok=tbPj}Tzb|lnV72!FML!kRcou@#~tVT)y4I&
zIga}rm#IE*ZkT;`^_(i6Y_Cy`IiZi5XO7Z_)-vF~rF*3^ZEE<3dy(z29Ru(C@rQ5)
z|KlOy8enaqfpqab5-Gw=yllhjH|{ooQ@yEgA7*Oe-&0lT>Mxn-v#-vg)Y}M-J69#V
zUZCRNb(U9r%ndM>-4PzDn!x_?qY9@TXozcY*eu2XUFUlJ!sq_|?c5IaFQe%A%^<#l
z%rw9Uz3%DcpgE*2Dz8qssg1_h>Yv>6F~FSMx1U-EEFoT^tv@wh2X7FXnp)FL>~fT!
z2<ux7m0H2RS$4WO^+16!&t#$!ohe;(6o9Sn^55gtx)>}l)oi2Az}o!5533xlfk)c!
zTIhl<Cdi4tdXuk*N>@9Kwd8EzX69Jdw|-r0w-GIiPS?h&x2qEqt8L&;R~#iGQWtv-
zC1hvJwa`OJ$zjBv1(s`{8dtRGpog-;ld=MJe3@|Q;HtYUh;ihurS@r~T~+XkLP-^r
z=2K-$ZfAj~<QT7R5gjEJM~n+~S7GY;Ej5gvEXYhhogQsRLz7?ZYtE-i;+3h*zSZwp
z5U$bGdh9tBYv{+cRg#5~arNWvs6-Y>e0j&0!=;H*ms(5XqquQw^8@+aHY|`GPCfq(
z)bW<?c=_Jfb0k;!$Nd&xZGcw@EqG3=V(;bo)QER|WHrI$F7>p5)zL0a)pwO~AYf@I
zJL@qqpL%#_*|;@qvh>f7|EP#YC%xi(XMYkC6^A6@v^7LHXB;u}l*cv0Khk)vjuZ9M
zr`Ebo0u1JM%Km34gIi1aw|~-_Ar4iCj~(;_=&On8aMYDVPLq+J?Xn9*p#Au##y<q;
z|5@Ty-6w{Xk;B6rMN7o@>&yDh%d4TR^R<ggwJ=(qIB=v-o&wc6D;~^AtcDe%<7N9k
z2;h2|<gjIb3b4eL6{-xaK(AG2^!&LMC~EeWtuT}V{cj?CSbHoXJ>B2lJCzfY@5C$o
z=S+cJ*4z;`u@*omNZWZxv*GC(ajij43UKfW3-7Nohs}R>xv7oJlg^_HKPmrw(}p|#
ztrn*_T%GQ56526E((m6_aoN5^)C)1Hl<dvmbNhRykn0~(Wm}bgs`nyc9(p*hF4Yu-
zU-t2;4*eoi)^|40k`{>0Q%ggyhD~6jbG>h><PXwIVa$xPah?!(GXFTr)&y=mGalr(
zZ6OESPw3n0%oAO+#<`#KjA4RrhV{6ylH6|hC1tX3j?lb#uWu`#F_<c(_^lYbN<14X
z=C^g3Bbo-^?=C%M1YaK>%l^e#P4INMKVdQFhzk?OH(R?6!R6hPOK(S;2t_CL5`MEe
z;`Ouh(<iqXLhhyJr`H8L3876{lgcONh|r%GjQ71afcvL@{JmV!O$a?Q`&rOBM@-*Z
z-yL9U0A8Ex`xGsI62p5n4;P%8Cp@_Jy63!M!c<pt`1!B_;<Fc}b(PHmQAyPcs#?#4
zx(2p^U3Z2EuW9qZRcjZCEH}eXZ|fOwIr>fp<Jl;|zsDkmJ9vq(2oEaHaAAN%N5%W9
z&M`t$p0tY?T_*kq0096043~E})qfPn?G>{3=3ZPb_u3=A#|YWkWkgC6C6v7@T2{&k
z4MI|(q9oss^g{_DNg~NeMv^^${d=DC$9c|kp7(jZnAXLO^rt8gb-6x_*?R%&aChWz
zeoq58v~_9oqbU%y@uz=e>Mu56X{R59)53WC#DnMD6zKl-+chnI2{TjG@6_#~1DiLI
zceGqp!PDE|nK*F;TisXn(20ow_9!1($;nayp`Tz7Ke~!Z3<taz@?-=}-JQkSJ~D(m
zZSds0SjQBzcYjqMWCDYR(TX=xWccn;b;+h`698R6qQBFhi%DTlWP#;fH1rH%$`DW@
zmRZ!kjY-wWU-WcfgATjeviDs|kaw-0#VM5r61OGTG9B1Kn<ANzrlABb<fOaquW6xf
zqwA#8c}~cfywKlwmjttX7rZM3=po<1-N7xK3z{$GTiA<|AWVDpf_y3itQq}~NPNo;
z-$<($dWsZ*tH!tHyD$@|uyCMAeO{0&X^=Ujq6oCzKiGJ>n8BTWMD9fwAG8zic&oH4
zfEP-i7k|JCbGdB_A5sN?qlD3*?yLf&?QSf+QN0Uzb}KG;9v1@Lx8$-HY6@T-f6HBK
zf&&6)D-Z32ia^<ctUvo`6#$zu_!>y$0<r6zyL29i0Xc?rU}#Jp2HINA)Q54y$om8_
zM{Y?-U(0fL9g&9%x<MysM|eP!xcE)%qZDY=A9NO6k%z>qw%%F+eDHuM8CIkt1NpW^
zDU4(Vcw1g?rok@&9mIDZj@8OSLF`Ln(FFxCYTz!sH!29H2TdvkZ3v(haQVb4iz2|m
zkI56g!cdx}IU2n|1U2J=)|MBF&~4n|Iy@x`$x%)j_P7GH|B7_9zC{8a*_MnhISH7}
zHz-}qCc(a=#@@zA2}TCXqdASGpphr*6Mwietomn;mC2If!AjK{ZL&1X(5`s8d8vTy
z-J_R6Kd69~gjZN;uMAwXGjdLpqQGnJL%|t-6p*7A)sLde0q1Fvb`Mr6_@@rYT}-Ef
zU5?4+sayiocbk=|j#7bfv2*X}m>MY7KV>B{%7fvmy{y1pH88CHTr=&b0Y{ex4zdI*
zfc?$GiJX`^7}=YLZt`kD`M_^Oh8{)ebMoAO?2$SURn%WhPHMwS8`rFkj1s&xRUQZ$
zR|iW|O`nuOT{xZF;!@_K477JB1dlK3@Z4F@H*!oL8lMsGT|Ytw#czU-!q2M%bXd<*
zmJC3Q@%56lkqT(~pZ3K@)j*p@DK>lygE`Sg+3oKtkZ0C4a(12yEXA*mJzD~>->~vA
zHB^Q60otVArxZxG`P*^klMyt%3;1JcrwWhC&puEJQ30`U5AT%c8p8;KVWBIxDhx4)
zT=^lO1b<(@*q5eh0<TvVy!p<lfJ5Ix&&?=#ST-k0RF<1Sz3n59#}#DA#hXk7n`L1<
zm9>;IZvwpTciM|CD?|B63zr?g6r8xLp0UPm3YTwWJmR4!fic5Mk*u6B2uL!>V|1p_
za_WJYa<L+0-Kf_QEaQP-6~Ql?A5CCbmycHDk37Kp0~KqJS)p;K_&?ptCQxH3Eu>E*
z!m_kIqdIv9<M0+tby6|`s@AJaFIzcqI7YhPq%(uj4c^-q^wJn!|Im1+7A6BUx>;E+
z`@^wnB`dv6Fopt8d*jL5QZQxkc$cO61U}o9TyX;#f#_&f=vJLLOt91IDK-Dao7!H(
zR|6xkkxtjlauI<_20CTqJ?r?uHIJ0UmjFE<D*ToRf}k8TOy(Tk##Q<3Ljv^y;+<v7
zE0y>lLjQ0w=MD{`xR1Eh#A5Ixe)+@e0B*<_?&3YMM2r4(s8eaK8Ullt5ejVM0ERs(
z1zlluXd2fJIepIn0?mbd->R^}jW<nm;y3A#-KCe7Dy@6qumTPFGXo<W{3{g^pGb$Q
z3s15$FX+Q+=!Ycwy|fVPa$%)m4;@;RcFxTq=mVDC*go}P0~^joe04*#$li0b-`htI
z3h%0266#vQURmAQKYf}Om1k`czLe;~@3pG<xUhNb$!eVUDm^XwZ&WHJ=C=;qVDk67
z;xma!o7*1{DWE}->~CD(f)4D8ie{7T8p3D|uCC+*4brF>e{Ykk4Ht$ObQVu`V7~4g
zz5X*h_|m5)=aMBY&>{C)7BgmJt()2o9SJ-5tBld|FgGnQt9Naq7XF9JJiBR;V6ubn
zoebj$MVioEMbc-k=)-%j-DuU+*})I@zA`;T)&%op$?3OA-|z;CDElp+9sHwcjx+r&
z4UjJ57TGW!!#y8Sdm5W|@XK;$zH0m$z_Ze1mvr(c{&ZuPwIG=W^)Y`dYfV=N2CEH8
zCf6C<fyU>C(hV9^8oyO^k5e52=j7+;nCJ24Qwt7VVzlUPQ;^@YOf`5=ulT03`wuQ0
z^trvIi56MOYr9McsX<xe#Ui(BfAQL971x%})1e;Epe}L=74i|G?TW(^9#|26|5N}y
z3b}U~Qq-y7KznU*l79t%Z9{J!8O(qx{R6xfTPUDNUE8?wV-@GVn*2UDj}b|qdYu{T
zMS<D^hLHnJ>$uc-wRG+z6A~>P(m1-P3SGyqOl&;e#M4d1-d^%xK@J8|pIkIl;als`
z61q3r__l+0Yxg=UI@=bV#1pFmmYJNhtC2J)?M|$(#DBXGD~X9_zLN~L&4qM|_h=FJ
z=3;4RBL~viZZA7TB7;!ZqozX>bm(!$X)ofh-6(LMp2J+aGMIeTW{&{|l=YzT)+~V=
zO^Eny?4wZzuNZl&&{{@>x93<ih4P>|9$^jhn16Y$7Axms#f)0JeQnA|c+ns2b77MV
zN&s^ry^eIOs3n4B<nu{>bYvOx^}b1hU9U~sUJkRNiA3J;0x3bnR(W4s&WHp%9757t
zKiE+!_l%Xvst{WA6hHTCMG+1LUT`kv-;J6Mj<N8rilFI;*HJH<6v1ukXJy$-E>u+*
zYOg9Ij*QFh|6RMS2$NxlMO~P9&{AY^a#VyQx}dihcq&&B>OYa@9|iKF(S&zrw6>)X
zXY+S^*9VHA=RJQcY@QEI#iR=dyUHM2HfQ_eLyGW#J8HkhH31~G6OlO4DvR8cYCOKH
zk>HGH&&YKbAte0uvg@WT0nJSm+a_0$Kv^?mAxvKcE!RJJY%xtlSL|M0%yCzO`MqB%
z&KrxNh7x%Jk9-Am<YhDakghVgdoIK^pO8T00VB&;Hxe?v5f~7-p9~LMtuD#COCj@f
z2gVLbDWeZ#AK^l|3TXSaUKGrbMs6vb!2`d@=%-Zljba%J4BX(q&d@7^s+n?23m&N=
zl1+SBp#T*ec{0UMNXwywcxzSqDhfKDb@iy9ni>?=izl{+6VNgxi1R`O6>+(xZ|)6O
z2kZIDr>WgU)DrK#yGlU~&C9g?CXH(VW4Rw)w}Jx7w2V0#T&ISN?<?<9kJ5rTQ4apx
zvx=ys!sdgzs5&}kOY5(rrUQrlFQ2TaA)(jtr#~iIs-wrn^EZN-^x*rshTWsRN@!@y
zx};-|I^q$0xM4V}4?nx=`V&7Wqa%+ct_Du4A-<cA7S>-3VB@Rs`R7GsB=Ee!;<|$x
zYG_Je-fqOeH|OxNy_zb>nm6a1VF(qCeO9fn_zxg89jl~VQ9<Ezu9=m#6eN1Ai|Klf
z5!_Dec$QeGf>h*bsLbEVNUv`GZHJ99$XCQA3>;NKp|!3eX>BC*X*h~%G-?c~Yf&rx
zV`TJhq%1N&L>`q*&>MEzn*jd8V@p?@j8e)MCJJceP&)s-)vX*8`0&M|_CB97>brT;
zsOXv$%4}|y)vPlCk%`ad7QG~tAebrhFiQl*>4kd{YfK<An!?WDtB5YTHQ6kM@}Y|v
zj#DL9Oknwbx?o?YJW_hxBTxU813l;Lr;J;fz*n~KRqN73^n7hJ^PCa`S{?7{PhK*H
zu+pA3yJK?5D!JviYR3wG6q>kc(~SYUG4tY0xeT(qk*Dq`HHIImImdlS+!zkjUs7fG
zErk+x_cgsPuEM1KW8@}FjKF2_^k{OD1af{j7k@qJ2ZkS6%j8xx0){tq^zN3T$hY?P
zp09`IF`oC?q|{1)=k}9kG=@TGu$`?FX)Iy)qU5dhr~nhYc~|v(`B5!TR;%XKRqRl4
z7SCcZ24>x%ld-RO(CK$+OHjRzCCcM+Iu{H<GUSJpxh)q8JsiHC`+WoZw3D}2x!3?+
zpDmf(Cb6UVmFmRjE}Pi6;%#~Lwmnc<+*Va4%Yw|Z2O^qa6Qe6M)OT3Yhs{EtRJJ4r
zbVbN1VZ3z%duFtL){&$S&sE#s9t2u++;6l`gkuBCZVYiB_S1u%^S78r9&h4*z9%Iw
zk=8NoFMM||R_MaRM~1d$$t$>Z^;^D6T5DK=tgz(dq7G0jhx{lr3;5uJOx=C3iVb!U
zOfK)$f!b6vuEDxlJh~-*_MOuTc0OA-l)FG1Oz9)s?NcXkZ6l4WbFs_VQJ%9DiB&DA
z*$Ms6L}dhTPQI4p-?W5P56E>LI-ms%SH0+iB>Ql~fqUmq5tcA7>%M(yxF%Q+x+i<@
zZ^3=(m2Pl6T*PLMxn>8DG+`$3-ie_DcX7*^?2T&&7qOCur)ys2X@H-BH}m_8wU~AG
zm$4+(MeG2<ztNRL1HA4EhT>P=Vx=i|b?=oIv2*p#>zw~MG~imFx}Hfdro4+?k;8Ej
zTZp=}(MY2XQPW9mIXVLv;oJgW?cGI;@2~xed4d|043^ZXH4kICnba0_u_a9ZXr6i+
zy&8z46ZVDM-?8jof;k&n!eldaZ$@6CLg3T!eCzlz?8U1@&e^nO%+;MEY>AHwRhCO<
z@61hLf$~)Co{Rr{k@u6v{9Ou29x$_La+$(zRoj@-)%@GD+gOCV#y{U2o*R&En#MW_
zvz7$bbxa?3kaEjXg^B|%haYOqVQ-W!Y1?LQV09u?m#42);98=5+QPqkwGR8!%wV&H
z72ovR+q_1GjUpPg#F{_Y-?%f`w%87qnQYo{PMZv)e&gg_f`75Bt+?sIXEcyoR9i(G
zqYN?^p7CdAE@Gam&%4Rfv>@)oe9flypI7#_t|<_gvE%y|q?V27p<0-6Aw^gTB81v3
z=02}rl?sNBhZ-25@r!Ega0m(Tobv?oqczNky^Hm`7ZX?|WQL{pD#FJX5!&7r8(99l
zzPXbU3;bXf$(zwv1Unz^MXYBF>ksA#oglCQQ*P%IuSx~DZg7cojGqRS1A|RU{(0^%
z*XJF_2?|h3<27C7K?`P)SIX9&al&2$Ijx#9c~JU#;%$Eu9r)bOX>+UKf_N*%2s#aU
z2(vKd_+`!j$GuFl)`WS$14Mlt+KCXTBw|BeV1y>N(%iyIUSOi@wd^`cgrcIccBwba
z@aD4~rf`%Wq~cE%k4qBa_XkjkYhnfGN$rGOvwyt2QYT<NLV&8g-#@hHc7b=VQS-W^
zFmyUo30yS<Xr)UD4zuM1jd-TRP8p)mQ`Ki%l0$$<fxC^yp<FN|_~qAyZE-lp6q5h@
z+P`}1>$1QhZZHh`?vrgV1*bmU5%Q`az&puHrx%X#!l_L|RfSj55SzkK{%4o~%nAV*
z9X~(V8Xxp6+bav7M2nmDYZ1Zs(M|sH2?4OCxyhpROAgu^4)}h4MucMHy5y>1A&_WG
zm13wM!lkeZEYDXSzVZ$8C2fm<-4W-RGsy~2eCEFVAu|Q&z3JCIZ6*!}{`3VO4kf_}
z;(OKnql(b{R@8d3P7)Y4b0mL-DMM7n{SfW9B;chvb(^Rl4Ld_w!gPr$z<PYV^+2RD
zY>F6%G+vN_KCW#Q26GA+G_2N7{o}XeznuO?FUf+cgtK+EITeIUs&B8Iq(G=#9PMT>
z0eE-llMD6Kz_B7!_-GduPUhK1B`*?T;!uICzJNL$;xKlJ@==Fbu6onnNCj}iPL?Ki
zsl$4mQAdcJCa6E$_lILm5jLN*xH}!xfZpBdGTnUI&^H|Pyxw04^20Tfv??@UoA$4N
zlael+WYbJqc%=;AZnPRYJkfv($+$cBz4W2FSzxJY<{ziL=%H;rp#d$e#qoT%4B$&P
zKdI%X3Y_)g*%s?i2c@UXTM~m9s5UYZX-ZY$j+OWOyM1clXK`83Xb0ewJB!66I|YpM
zT`G=Wq{73I`yjGz1U_nkEUV%a2u#x$QyN!=mcnTty^qGAeZ&0C6Z(G~Ej$=qYNQN)
z?yBZz&YQq(#l7Mp(W;O=$tcrrrvPFbk`!GQQ}C|NvtY^pH_t;G%@BP#SRQe@D00vg
zyhMh{{3pn8&wBQ1rK%K|#%)+lMVo^CxN_;yRVC0XTzkECPY5o$y*1x|+7#UHnSBej
zB>~0!V&rlPH+-Oz(Uk#HI8_myu@j{LeKo(nF&|<AvQyt;;BOOnXX6n@e}xDuCF)5*
zoy(YVPrZK01rsP@FHZQ7CI=aOR}Q({>BelcHE)cun}FF~TARb^GO%`#Z7_y7jvJWq
z#-B+whRyi&%7q*$I4C#GUwV8QC(YV?J-=-P>(}0+bRTg@+X?2{7rukvDSZ_s5^4kw
zZ<jnhf`ozQ{#oWwZhB<j-ozp`1#pP>qT&H(0eI8gE6EtZh)z%4Y|K0iFtVt{Bt_%}
z5_6fm<1!P9XtJl---JQj@tL%8O)i)c(+VjWWk#bt_eOc!4B_4I<OO5aT~M_gm0#h^
zf|7FA{)`P60EZ@;`YFo<XL`5l9D`ZV*KfT8kC*pAljLAQa4jv|3O+H+X3K)c#!Z%3
zB=*2}Pqq|;unjEPlP6D?kp+>{KaV@v>BFlUZt|GTB4*<s;W<&pjEa)@bjL30!H_4t
z!?h37Sh{z4^8r(4)NFCOl(9n>w0xiYS{)w2&}6gHt8pe|Vd!SYEu;&#`!A6rs@gE`
z29df4*-YqtLu~8G03G;v?Acr4>N;FjfbBw!D-$Y=;Kp*BwLw5_Cm-2<!fS!|Hm=Tu
z8o9IIi^yt&hxA{o&eTzS*g4WVL752!Ha=avo~i{G|54u~-6{M(e7{4LDHGc5$Ldi3
zR}=0uFWpgf{f+xh#(s5=V?su4JWLixG@+(*{<(VG0zN7u*up=^gdUzPRN?rd0nBuf
z)fDL^{5q_z%X%;)f9cfJF((bEQJtF*yS;+nbksXlOvi!>nx45l{iqIYc4-gpFs|e4
zAGK-kb+Mpm4&B_K1M2YEjSuqNH*triC4bX5tcd=8Q|7K8YCx~ldyM#C8y8+(ldu2I
zhKy~pE3TbZgJ%W)UVd>j2#fYGJg&%&;yl`J@-wPI{906`X(cU+RaG^ZD&RmV!UyLc
z6jGt%-KyH+C>@&1xGBS7xEuLdne@fzQ-Ln&UF~in0}{QacRMtN3%Tv@)O|TjfuO8#
zhTV~jsPgi2sqs{9bbS7ZQF#glL}QH&_J3nSUR`E+#U(swUUZh_x)ueVw@%l|{qx(G
zhT<}OUwIKxOzGU)epR>-u5!0yffa4B5JsL*_>sKDFKY>VRdDuTp1V}K3$=ORdfX)f
zD0Sbl^Je`jU{%+on-|4_SPq9-z19{&ayom+*H5ZIVN{rnddP01>?<_tIxCEL#{22=
z1XX~^FrnYPjSI!azp=M&5k-N|E_KU(B*TdFN!OqmZWO-z9ouZPIO2MCV|9Ni8S<Yv
z2nfjYB0b^%HVh^ukzK~wcbOSvkm>o!-w?@%E@zHB3J{V;$tmxs71znIbn9Do!#F>x
z8el%+YA=IW9Q9i9=Va*Kh)LWRD2Qx|`=!?NWs&Sasfz0s8D4n5OmpEBMlGEm)x1{Z
z&`hqRqT?|Y(Cm1zH}Sm)GJdC3Fzic2TWYH|GwUiK=x7}Ow^R%@K8Yi)56PpE4(9$_
z4XQBjQ#*ncN}v>#E^XPviimh%MdP9y1=L@uDvG&Ep?Z@qRad9~`Q}~PC#UBq5L09y
z`|X4@8evGU*$!1kVxA7!T6d{Xwx=z7-(?x}&V;O1@|TR7C1`W&&Zt3ZhW!c7C$eZe
zFFAkHTNR}>MJw9}sDtMI<Wu4!awxwAE(N+#(Boki+Up4#Kw);Gy~;^MNBf0>O{OU*
z^S_O7mgkyqNrBEFO;;Yp*$<fs9Hycp2J{B)oZ9fx#P&^)y8_~Kk{_>mMn&lc!q4_6
z>Ofq9)8*12MPw}6?#}&<ioA_%&XL&kAi_*sch_+e%E+<&Jlao1j#nqx$M5KaO=pG>
ztC<oyV>nCDx=BUdYo4a^m;r1@Pd;JTQbPUbN0p_BRAe~VudwsU5dJ0^OTNFLjNTMG
zHQGf`P>HjZbG-_{hPR`>z>qTX%{;gJyMiieG<#J^`T^kkS*@RTLm9CTKlMnVAtRpl
zTira#MxZGOpU(a3ZzyYDYe*%b+uNT1U1l|gySZPIUM4G}A|6&o$$oj1+!*dOA7TvQ
zlObulek&oHip4`~^aPY-DbGlJWefr8O6U1xl@Og!l(vq74El6_g!+8a7-G{)olX%*
zNVejOOH-``N<OoB{q<jCs8)Q+X11k(4mS{9zVH=B_xFBduK8gM0~3KxJvH*Eh($T$
zPB<UR?L7!n^~Ugdl|8K2mWa&hdVEA!xsaNsMA^YuV~Ce2GT-$@4n<i%x$JJqf)WN2
zR*0&`AP`;Q)9E3LzN)`+Ou0>q&IS*<T7NWxHzi*WKN^-sLyjf+4<uIcFSd2-CxVSY
zNv>!a{G^b=M5o8L$Q+&}Ua+T($q0_V937=!5Jyfsc30YBzTrWH`(c@R0PndZY4Ws0
z(VjI2y2f9x@q2p&A5fJ5(wcHK-rp8NVh3}4Ukbg%%IWnw#iKBAFm6d!(iA|SbVOI^
zg?lj0Z+owwyKM-CUGdoYWnL7&s+L1MFn~#je2EZfH-MU$*+r!ZZp6GLETp(^2<uAT
zBiORO2h6x7nDrUB5JiHpIg>q%b=8?LiBtA~d3(yk$G6x~Lh9!C@()AUq@Aw+ffM?0
z*ZuLAfizZRr~COxMC2frnW|TGzEThJ(eLLkyZ`-zl~8<ixgRU68H~8}R~L>i7`*fI
zWk6-|^ORo&z1Y2x^x{3B3z-G$atVfXXuI3}Y^6sB_WquNf?t*nG%QJ%M0?VpbK=*&
zur$8Lb}<T$y`R#Cq2M0=>u0v`e4!TwOI44suOA*&Ynf>S8%<*D_MLV7>-pOY_*MZP
z3Nw=@%Cz86$j_)Q%~kxjZa77F>lH4KQ)_fMv_R&0CJyq;xN_EK{%F^CIE90=I4E2b
zUM&h%LeL`4(8XT!rn3hhJE742ZCnH1ws!AL+F8I=rd<0A{XXN&t|6)ZZW>^yzU_YQ
z(;vJ`qqxm^X$T*=8crSWR0mG7O+(i7JihrE+rN!}#}~fDJk{E#4s)?)tj#*}_-%z4
zKKhg~obv9Vu2HKRye&@J{(Aa19^P+$%+F~OpQp@pPFtu!b=`K5W7iyhF3#9FkNgYg
zZ5UFJ>ZC%&efjvaNptwkMJm%Hp;`Qvj%@Hd7b?^?+l9-XpTm8GN*5(L=kaUD$A|-?
z6cA^+y*sRD4yWwxNUgc`2UlUCmof;Uz+2OdTMztx<A<MqD(yA>i!ZHHE=@5|VEBT?
zaF*meu9x|ED3NvvKXx`+yj)WitR+`GWgpJtd>;7N%D^&y%F&DU*S~z`@z|o&x&Oia
zt2ceBdscCkqLPsG+hhpqvkX70w1B%8`CdOgzm89aI^4egO&J~s4A^gp{l&HDXL77`
zw(wBfZ;`YFWndPrA915D;zAx1;}0J1;69#s?MSc^q#db9V+>frL-I!>s4BEb|JG**
zt7Z}~GWW*KwJqa!UI`nz-K9g5v-cg3ijkmzE0TKBeih&Illf_xHUsilygK6@qX?~;
z6fJxDb$n0iy#e%x5qW$J=S}>f03G{VKlP4n;DHa*dDA{JqqXLad@%<Fc&Xf#{djc?
zH@KyjYca-(GN0uAywfHRk+zy8m!xUX;@<CEu>^KB!YFX;rnx*+o159WAE8Ch2v)y2
z3ptT<Ms(-XE+V)J_;ej<r9;I!AroTdTxh!D=7}aBBCHuD`CPDJK)vo<E9NphD0v@#
zv3Z*SwU0gM#@85;a1GgW9p^=gv^DZeWdyhvDZxC`#f%Dy_rA9{$B&f0<Vf^*5#Xqr
zzoB(6E6Q?a&GrcqL<1Iw24x8ZP<pZaW0jd5ZG8$8jk_w0BnHbHIk)7XM%_P3I)oGL
zdEuGS@mUlxUJ;U%o{|H{r!$qjm${Jjz=v8FR|)jAaIMLAMh=`?)auMOxslcnj5v8-
z3Tcw2y-u(ZAmE^x<a`=0l86hAQQeeA0YT%w0p<h<BIV8R+sltW*~HveO_xOlMMfn?
z<phZCczQ8FS`c+RG)t}-6422Ta)VdZh;aXdnE-(xj0`tqcUsuwQOA*QKOW5x0r^;x
zNA`;%H9n5$C-VwOTTV{z&5%3@G!Ek4<>JVV#DCRmmV~xtPc`InD8kJ@Ji{h@QmAP5
zi9pJ~zf^qm<j*tbNI*LJ^GSlgG~&sbJC)C?iulQ~l6{uS@IL?m0RR6Cmv=PPe;CK@
zz4yqz*1fK4Z@$lUHI$H%WYe%yqDa!uEJa3ETVxg$DWm&IMoC2?LS|%@y~oeLpYxp0
zInO!IdA;6mzw?KV2Y;1CdQa{he{@?7J=(Ac9`#lQ=SIB?Mf-5b=PjP^YK}UZS?oJA
zc}@*p+)^(IYmrB(&TpTrCTpPA1+wQtM%016@Qw9ndqtGnGd26mPZKdGoo!Q!*94zS
zm3<3CO2{v)TRUD>3t4>WEBxiG4YML=e6F9uqXHU%Q+fqjh!ub9WTd+;*ySHLi|HXC
zJ<9R?)oCr{x&G?hvFrK}bINPSgG5A8(ahh=$F<PX?}GlCFNVNb->IJKq>2t$bf3z)
zsfA2z#q$>=Ou*faHaqAD2?g6zcu=<{qWxs@&sPKB&A*yw`{>k=#Vd!Q3m-JlN4f(Y
zTl>iHs>4rKMOzKc(JibPd#a;vQhr4(WK$@YHdzQXRzplWDn9LABsBY#@}y0K0;Xsa
z|4T#-wG6&@dY3{#qQ*mvd<_(+Ds#F~nM6V+Uz+BoE-E72QBBGP6EpZ)$hOpeTNSA^
z+v%zAmqP=WDboky%s{RE=`}VhB611VmB~ILiF#{^u1fdJfNT(5f31;#LQ7mo;t4`%
zUosc*R=gR^`W;!wXTl@8u1kYCJzNNP;mb6Qg&ACu?B#kVt%OY4o62G==+MY9RW{Cf
z3M@6K_vy+ipmI^2=SBK|sY1lY@!+cz5aW+wj1s}2EK(!kT~{M!KrHAFpryb|tM6^G
z+_K2>+xOUh@j1-EX`oj3qA3uL1^HU=N~33k@u{H>o7lQo;cV|D8IA?ne@{KM2N}_G
z-#zX_2Nuj5|5RMako#KAus>e}B|Yl#pu5ZnOx-#SgY5v816v9O`hrO7qMQcrU1ms~
zbKd**AV6GliNOdvAFAxTts}q60>@X5OFvA(V2$`b=Dsl(`gd_(ZB!jA_%FXn!DpKQ
zf6BMBtD`K4yU!r=1RonLGvyXJlo|u|V(oY~8w1)ly7+)wm<<Mpzq}o7F@pA*vg=t#
zcBthAtS4p1Siv|q#?x%k5Rz!p2DO7$s9_`h4|H#{!ZS)%_IpJ`_`6zHI^Z@-ZHFS$
z6m3@Uw%DLNK4AdO{BF<4dq$}R+l$go-&sH|gWXrDSRd}>Wv4AYXs2FEp{YA@nFZ3W
z7Z2pG=z({Tw5fkt9_G05>rSjL3-n9P!Bq=AsJmMz&HwT{_UWyl^dVLjI2BO&Q>#!H
z@IN>$bgm3zLi+dFtX7zzXiTHnicJ^JCx>xn_fKE}zj8*l8CalhD9!x*IUN8=&LN3|
zvshieCHI6D3rKpdIXMh!gPVMn7Pv29Or7lEn+Yrsf7!C9&Q=>*k1`aun=E6jg!`{+
z=~$ue=Vr*IRxQXe&x=1jzlsGpCffQxW(5YRYvyMUYC-*#uE6_o8`y~G22%BBgP|Ak
zO*cMkLVE0Yn<~>brb)x#B<IQwH!7Cdo9#70J@WDPRbv|1irDWP9?k&=d0A3%BN`xj
zx)j4-poOu*=Ss2loDeDEu3j0U0k;xEPPkOiK`jGk;5%JzP_U}_FP&2Z=6-BGRam13
z?c`VQX9IX(^k+l*WU)G=tWS>}H)jMB9nHPo$9O?S;qc1zVRaCFugmeckO|iJ9?Ere
z<^$EK!(xNWYOoY_>{qN93*eXOd*{RXA=K*ut>_aq7<ry68I;QkF+Wwk!z%^g;nr)5
z9Va!Y`s|}uLtzJVOU-R_P9Yc!c$va2ss=24TO2QFIpHMph0dmEVR$w2n5VXe1c$wX
z6VnE`U`&*A{iv8Id=-DTp>dQ1UK#xM=0QBLnH@oE`%MgdhI*JK=t<z=(EDH_nimdM
z-u751-2-nwI>*^JsKQUFfF$)&KB$|{kJ2lVgm%J@Oq#o@fD6~M%ber~+Qd1du~X9U
zAdJQ_<%TMpk$K8>5d@*SHIW*4T?Xox6PLbZslvpPt2RfO5HKw34zEyUfz3GK&5!r0
zur+kT@|dm&7}Y#r>|nydSs$h`X<ibXqbM8|{V59lckHB*i#*)h&?r6|Ljux{^O4d_
zad1g0Bz&k>0BIJ1>?s~K_(kh*fA)+7OgDzv@@p!AQL}P>bEq0rX6*dHc}hXJ(2!4U
zu`)P|k2@|bslmC%TNJlf(h%Nx%Qg>3fEp84)|gxBAh58A?l;N6vLU6yJVynhCH%<F
z2Q*+M+1+D%Ko+!}=9x?ARpI7paL<mUCakTu_0ZDb;JFi<r=bH0z8u&Jb`jJ9<%eeK
zfpYTT;bSnrW~K(u+Cm>E5wxM#^YAf)eG0IYcp|>3Sq%mS?1xj_b%6h;IqNkqMTkAg
zZxljQhjIPpgA6ZpA=i;iE)P+Hop-@n?q}3NFX#aMsJK4hpN{0&gen8iXfe(pUL9Ja
z2r{R$3}9yQxO0*#9zx5b95Z+4X)NBkE=n0e1}{iZ6bTU3^DQg}rw-rETMr#9G6vzg
zx5|MZ2{1(dEiam<1_#16lKYi0&>qdx&oohi^5LraU;QL_U6>KCdkEm`wi$l!RTYT(
zl76a<M-@oi4;cQ;0kAChjtAUSfhWEz$E;=uu(Hw_G!RV&Cm9>Z4tEvUde3Yb6Qd0N
z6~{;en`B6^@MVAv0yv&Pd-bOj;EIg2=!l~!FdPsZ$aW>bbrTH*q8<*c(rdJjWt&1O
zdwF$p5*{4B^l9n+Cj(B0on9-~m;#@pLxz8fGVrnUWbxKX0OQ?bB6-LZ!aqE)_%A>S
z`mj~GfVU!Grfl1*U1|z$BNAdmctu!osc0<33BYE|`)#qSrVxk^E~{^shr`GJ%N3*N
zfop;mHMA5{kad`#v-HJ*YNbc#_6HWQzxcVXa)}IrS5T?;rYvk{i4F~9(n0F&bIiSW
z$zT$^=oFYF17hh?LByVQ%<jeAzqN*Bpy~NDxUC=!psf1H;LJSsicj@F^-ciauu@{%
zZ3z&`;#Xn0IgVKx{>V!51K7%yZ6$At!7;r!XWExPG2tPKWho87i}0qylz0))`Gdcw
z;?s=XrN2fUBw%oo_&|HnKnQLrG>rb9PRCBn5nt9GGl4+6%u~Ih0`R-@Z%r~wB{ekQ
za<|PjV`$0RIwCL62N~(zTXF91s2iqEmlEF^L9gGbo5RjL5Q5u0@mc*n)$7m8&VQ?h
zV8=FnCN7E-GPtVaA2YwBHVCd5H0T+^%oXS9>^p4W?Lli=l~hG#v7S<ph%|tTEt}T@
z%q);s-QPS`{g8UO<lxnRAN1kkXY&uI-ZBE)-={gHkMgjAH?FVti0Z=|?|1n7we&EO
z;88|Opkl-Or#vnN>OtA|{wMb~X~E><=r^`~pD?=3*ZccF=t6#_;^O`=8X%?yGY-G(
zz#LDnk@=N$;e<-Oh^f;ycC*;JAYh{hbK)hw{FkT$vl3w|pOrVU1S!+m0Ifmn$rat1
z{fpYb*d^?`-+mo?)k8Ny2php1SZ#hUx@!aFrPtEg&Q*-#Bsb^i$1x09=!SN*YeCiA
zBmTDB6-?#=o9eK_B<53A?$)qR3!WuE@GgF}j2*3wJ>r}?gDHex#g$SuA?dlG1|Rz}
zHvEbvnImBqvsPm1KWC%~Vw%-{1363B<P!&{benl>aK?m_p-uyuTun)(9!r=?Hp@^K
zVG$F3d?wzKtO0AkoZySo5_V{A!{E5^GRElU=VA77*Dt9N$yRYo82(**7n|rR_MPG1
z&QCjacq%DwH}-1@<LqLQ($HSVJ}^`nu#c*NHSM6mjMp-zOXdtc8?=d$j~>0#zRSt7
zkxfQtffdZ!RkH<s-Ny8))?ce~s)5LT`%(07_kCoAOK<l8QC#?GD@zij_E$YKSYE~I
zvxBPyS?FND&Wrq;*Hj^)NJHto(mHlW%tbFMk{;yOWYhIpiI6cfVEHh91LK-=XnDcM
z2-89K4v|7c=#Qh+UJ%^E(%W<<r9UviGkK!;J?~xal>cJV{l1Oy2CLYI=dwTm*S(J4
z^#riH<H=y<MFU@Zm71RAv%y1#>v2?h0^H!A{I{~}aaqwzoO7KVU?Y*ERg!`S#T}i>
zwW3{*%a7B&+4cDF!K+~hnDJoaxUn3zK@WS<IlG6(dEf~Br|skM%D|a(qjoTm5njs;
zpG`Qz2e+r{`rG)FVY@j`ubYV(!tb)C1orYn)*V64mSQFNs^Q&ysEGwQGrJETN)Uui
zjlYWzt(9O;JyvwGoDE2WrPaTW3j;^in9(Am5?sEO-*^232c$I+?l2z}h3$J{ea~AJ
z;dX9^g&iL^NX|3Z`$mX^3K4UWD^P?h#kcVFA9i`fv=wx>O#&{Qo>$n&R0Ns`+R_ai
z9~@oZ*A<ADhTs~$6P~$>0M$i*n;!5(9%(lBLaYo_8mjj)wI~9Syg^_#6ofJH19OvW
zvT*b1!AwPdCCI$4s2aH{1b>SO3XSnN@S42y?EZgBu$nsK{=8?GGk%R~hg21S@=vGi
zw}dj#EE}vh4TwRujn1AgQ;HDMYYe<o%5XMruFsKO0+P6D&v?}-gGI}JH|i`NnjiYJ
zP@JVe_OQHb+I<4h_xHKaYpcK&lal$8KhmHQX*;-+K!k|_trzX@h)@~$wwp^!7JPf<
zR@lyy;N!#b#|Q3^z*X(ajDC_F985|-NGVnW{i{+F#=H0Y=oVwuo<$sJ&PHySB&mbl
zm$kpliW)HFIusP{p#as=jB^<-8nD^aogkg534J%q-ZZo+0-JIW^J6Yehz;`)o7B{X
zy>bzi42HXVkiYgdXK2D;mQ-u_x(>)zofPZK#KXl$hM_D|n&1@D(kl2{53U6Cx)=5n
zAa7AyvzJB-=whz!|2Sy?)ajG>c3L86^}mca_^Jt>H(OVa>=*&B=PKj=H6nc2VoK_^
z(u6phLavki7(AbfdZhM76+9<C#F|HGK#>pgxti+$q8j{7)w(25vb9*B^i+q5(#EDM
zVPxoVu;5toC&3`r;*_yXf{HN0AopQYh}#zAyk|>-pD9|wAKt6LnKjn(iY-&vtL0``
zHK7W;6}GjQjxt>3SU0JQrNDlrU$1-ARKX(3Uohd4JTQfw;^Z8r0PpRq!eXjK$Sycu
zvZq=Gw#Rh6t@zA9Bd~-1;RFHb;yaVv2z#L8y8Pq^5i@vf#S!=~01t&*k3?;b34$BH
z>vq=~1$Z6^8M8Dif$Rutim(+IG{=r78P`x?vAzhqOsfdTR5&ZfeCT0Pcr4D_ivm%G
z^5PGb<smh^YgS%!5!?PyUGi?#6!fH42f7Z*!5Hn+-m;-@ShN5klC<mV=hG+n<<H1K
zABzWHzVrY!wKF=pfz}kB%4R=lGnRr?mTg|C+jCSQ-`tctkz|-)()tnoP8<eNW?CQp
z8uhltA;%x<02o7o{k~uk7!i9PsdQ$W`muY|^36qngBrDS!;XS*?gsakln5<)>AbOi
zZ2<#2DTc_PFh0<63lLB~OoxI}ms7rMnLuStXyJba+<*oIGFLa~5dY1LRb5^a(1^+v
ze$vhcDJmRIn`ZRrvdlYr2~}gbzgW}}5Xc1CX%|iFDD>#mr79L5J0svz>&)-JNC#{7
z9^F#h^k}(3w6`JJ5OmV+l`eeW!UA=scz(X2Lpu{OZ51^J(B%21G~>bwmPQJAylg{<
zdc&8Co^I#^@$0kK=^y7X@rRvvUB_tA9+x~9S&BY9X*neO;rs-4bTBp1`7$jM5=~0E
zk)j8C=339v1P@}*dk7Z=q-asm_K(A7$8_Q2zE9nfy=_=O^8xq2Z8T^_+C##NtP6wo
z#BWrGJWMI1<Mn(74XSdjiKolefwGXm3+C4ws5a90c+vATh@BxSd5c*GeA;^MlUqBf
zL-HoXo4z!ttMytbSFkpas{F3BNDfj@R~M0oFVP@%wtcA^!&*RYi}c4vN2#(ZH9z+j
z(V+1tzoj$>Etp$%bhovbp#GV+DtNp=gJ|lu&y=@m!X#ZxhKSz`b+3wxP@@wqQg*3M
zSGUxJ-!n1$t`^NwbLwlJ`VP~gfP0(<J6|>6*@p?y`0Ml3^PfDE+!N>!so>TQ^HB|$
z(yVzB>b^*2*B+uxwxmZMo?D#cL3OwjbEqU+W0{I-i$5{zFrdet4|$#hsza!iy5l?M
zRq9YBeGd;XqHmUlr}b&op`%1H(|K%-O5OSUNhOd8{eH%Miy=!5+HS>W-u%8nwdRsQ
zGWE;|u`aiWXsUsudt;1A_ZD?CbS!b(m=&o}9{rQbCjmo@C%^W}4)w=v{#?mXHdNx^
z=`B8^3a{^!`J{@|qV$M|IVx2g$n>_-rK={YaL}fKbI_6wJ)$YxFIUZl^s2>7K4uf)
z7QM*}uPl0`Q*ts<;UW*RVCFg*zoP<oekKI6Z!n-2%$daxpYfs@ZlA4lK`M~&U3{fG
zj0r6UA9XoH$B+EmqnCYmbA9iG1a3^21=aD8G#`ZsAalR|goq0S=xSYGKHbfVriC3v
zT-bz=;X&QRNp1opu@0fKx9q6R;=;M^dSNtsGN(@aH68+f70)Pt;Y1NNiRR{yMA5i+
z1Eaz@Jeb=({G-CigI)xjaqTD&M?YW5#(c-{u+6*oySE`P(zu6p1a?axgUY?;ujKHc
zVyXW-HIWb95l=bkB_@qpJj?eMNaNvOv*d686@KJRCnUt|CWHQ*a%o-E#{+DJF+GkF
zM5`Z0$tS91QL5hG{8Pbr5dUzGty)PKaW!~Go2uZ@Hr;Riz3q7T-DuOYGAn`t-QE5*
zyp%__Qs-VDKSlth&wAo}e~O{k$<Y?NR*Fde>Z`NUoGPGR<|4%Mdk@OwR2=`dp@hV)
z+<RKMq5@|*99Ncjq>$7l6WNGLJmQ<dhs21hLW!Z6WZ*MtBpel=ekoK13FsPaL|-8R
zi>7F;+K3FY+`=YxbyZQ_G1>K(>1rV4bD?nnCx=Qd^en8-kkI=nc1ww5b;xzFcc}})
zp@{?qZue$2WM4WS-dC;x^$f!wIp52pZo;tn<5+d15HWkCbzKvBokkSag%nX@500Fp
ztbw=}V^fd$Yr`+6ow~?VN~mA|+O|!x212RtC>-><&^oYB#lKh?m5QG`6u+&3ex9I9
zQ>@klldNFI=%09mN7^^Y5}N25m-nRgbpyyk-JRt#1oXlvBfo5S-g~NDKg`Dn6ebTn
zIrmcq?OQ+6$ahZzEh~lIWj|yBbUi?H&LpDo5+lE-OX_H2hn?4$2Y~lp%TkTFDl(v*
zBgV0+qvPKTa|LGru4YC{A9hzot~%2Lc{L>Tgi_<<R6&Nbq{!JpH&xVXYZLNuMFn9E
zd`9warofwJ=Q=K|ib{W-l#m)yM(5I^leWiAVdD7~9wiWwpxD!C!3+ho@J(@#?;#2d
z=cv4BtW-g-X8j6ybmh?6md`Qy1PZuqo($v4C!kTnV8Ev)DI`?(s!Qep1yVh?Wd6D0
z(KeH-c1VCI3LL)4XOKpLTwC8H>lq~^;#?MOki?IqE=u%QcvE1X>1(5f<BCXav@45v
zivxWX7!iJfqri82H|N(c<PnZ}j1uQaj~;3hdGEBE!XDfUZiXE>v@fSlm4{`8n*8bT
zx#E+iaJnz0#>`w6<q2})RwPHM!fQ3>GZx8^_UCi#<7{aZbyxoP+x9GMPyY=)x65RB
zWg1afH6wwBpQ!m#C5N!FY?@LddNLgL9S}U-Du&nt?4Mk_G=o_WZA#=N0E{{+^a=kE
zMy?%#cdZQ;FvoM=<Idaw1r*y+Mt(sQXj{h7Y`Kix5`AEyuZ}@-JC<k|&4;@EIcBo3
zRctudt>NH76Zn_C+B~DggNkfz_VOHD!~DF?w!il^1}(c=7oIV5AaNH$`}N0b7``hA
zZKfJQ=Bc{(qVg=LK(o^7OxPOc`teNqYP})I$p2_a&1XO#MRA|A=T@-_mC&u|bptpR
z+!pB+O^Zf<i5IgIRx$RYH+3!a4PcImezfn*7WG<O5WdD_1-qfXMEn=24{X>~n$nA_
z)E|opmwjOwtNt8n#q>!J_^-RR4f8EhCp%>AE?`Sofv>L@Q9=(AFJ?N}s?AcfBkYoM
z_Ag@hhGZg`LUh42JV(|mZi0F{CTup%V*&d*_HNSfn+^mrhiYa-j8GeS<}ahPd8|8_
zbtFnl2Wr3N(?7TCqlVe|Gu$1X!)9MvTBY34hO!Kwq3+pl)F`_Ge$tUSEO_w@Nu606
z#42$v7JD11o*lV1enYd^;$K%pxS$0lcYT}Y1&XP@uFbj^(`T`0WRh;Pn@@+?t<F2<
z6k|kLoYuVWEan>-{xZT#6Hd@-eW|%pk7+G1noFLX#j5Jge~%s5<%422-4pU>EaJR=
z4}bJ5_K0jze%MU|3V#}E38r*lpVNDe|7w`U6bmautA^E~yRLJaQMntN=FxV~!p~uM
z*{s})eAHpS{!l_=WFMBX@C~k3%wat3S6w(3)xb!}KhD^85OZs|62;{;kLhjR8u)Zo
z4T5<piI$GTn5(Jp<eJU`mi09LO(&lkY|*`ZE_!?v`}3At<FNW72F!<5wRZa^ol9f(
zEtfIOK1%A7pY0O1sv*QHd|4H)I8U*Y{Qh8=Y`_ii2g_I#j>F941rd7YU%H83pTvgm
zYiHdMTE&WA*SKfTr~s!P6{EbH#yY3wrrm4TFdupxqa;ZM?9UjTzaab%D`iuhd6~9>
zdEQmZ_z+5f_+zEU??29BUwC{)Wgl)~sHIxxUIQMOY|S_clJi*ASx5Qy-#ge@xVcd%
zf`?~UYS|)hEMU`o9VWF}yM1)V^CW$+GSH3IiTQ~vVU@9urM0u@Ktv=#wXH)5W|a&_
z+8UR!)rAZTOKAp}^Y|7{HdKOSMP-|hS*uve;(-T_ZH&-qQ4*0;qzGFTH|HyEuVb0h
zYk>@<%&>l*l&>MB2>BIR?EBtrVh04erk$!-!Qa?AEbOiV^qYBHNR-~e;@yw+wk@;6
zsb_-t4H*Tf58aNv+(!cjld)n3XSm>^W-#BWa(OV@x4+c*03G-)hd-T6<$>3HN60A$
z<iYxh7vWVGJ!Ele$I9~X!G6Cb{g^2n{IeT3bx34{^e%bHy)XFT;S{TIR1OYG_BeNT
z_%K7#Q2zOd2tn|HZ-#6RIOzI#T|hRJ70mCSC-I#VhPwA%Z&qb-aECbXKCFTrtoc%}
zyJv_3PgZzL6b%ku1n@{%DRV*Ium`brS{%sCcY^oM%fY~1z4SbP9w?UfE3>;O2`M?$
zX}=9Q7^3=*WR3EIi1UB34ELo$zM#9gL<$EdrPO}>jpPTH`-+Z260(rowSC{q3kMn(
zLOwE>2*MiyV%?r<IS7j?l`Hv#1MMHeUj=Z&@Wg9tk9LSWT)OW>_H>m85xucCeoaxR
z_~S==@311&PWV>o%PPP@byv<fe{ncluXD(gtPEM+)*j`OiomEix3jNZ0wPbvSkWIQ
zz@}^NgKZ}zaA+?LdZZ=|pKh=&?)Va+Lo>)}d{`MwZpc~Px+w#8)~0OkX(X_3i!eA*
zOMv5&UyT25$pYQT>e`)tHJIU2b(fhV0^bRPRs0nk$Oj+FlbBQoV(Q--S2H!ZUB2bz
z$Eg4bD+|pAV;Zo^9LMX`pbi7Wc9_*;MVR`&+n<^>LAx3k{yIz(zK$9Dywg_(i7Z0*
z*(fde@6gp6ZZB=<74i1})r^PBw25)|8MNWNmCyE{OS+&^RC8s=R0W<-I1%ReYC|&L
zeAY;fKJ;iGZ(qGngg=<D5mi?k`dhCtTMHS%)~hhN%rB}?u3l0)|5Xc~CBz8phMRx`
zN!q}pfdtY#5zL513&I~*3;yQ=@W4$wsYPE6ULIh4C^4)76@{&@7Guc3mKau@=dA`0
z`rB11c6%{CS*u|w+7y%*oOGLf)gbEU#;JZ132IZ9$`zd{;KF0&p=6>4Uw_#Q(clSy
zTRYMk!Dt52RZoRC8%fY^ZDu+%qyRp|Dt+loX28h#X5?a(D*V;Q1YHtj;Y(Y-=<gac
z2weSfxXE!hM@xvbwPfsp;N_MPg%&e78tKy|_J#n~$(EvAc>?g3RUi#tVg{87`C;`V
z%3%5Q&4Sr)Ht@>)mPR~f2B(M5%TN4KgqMX6m0#v;VkdJIo;uN+f$UZVW8@Ec7+j56
zm{{q<BpEeD2d-0KFk5TWvQ7>Z=$__?7miW`4JX?O3>450)ll?%A_GrYyeDottWskp
zN!2MKrtpXBu4cBr6!5Q)J2Bj*MPJN&m3T(U;K4E)5@{_C5?qCL()SoqticS$$(9Tf
zi=|;xcZDHy-nzT%G7Hje&f%nO0#Hh1s0vdMfCfHi!ayJ!YUONhyk`vXZi7S<ImZLO
zAwiu6kJ(Y7TZ)omC<Z)=X{I_m>|i+cJ-KT?2U2DZ>A7^-1lsI<WOE-ff%}c8dE(I=
zNIJv$oqo#hM*;!<JN2~SzRl6NCxiptqn!=?TW$ouGO}Adsq5JP00030{|wh>Ae9Xq
z1#o+2@6EOEHSWFkeEw!Ci4ajJDN&IqC6!V#vMNMMgfb(QQa%5cSJDtlQ6a04EoHrZ
zKi|%W-#O;7bt&?utMFjx-2I_03)pj_Mtq@rikSB}p+WTWW5e_9R4)+=@IIT^aVckr
zklUnO?i9z5_)3vK#MK;}4p{7`4|NdU4(7|A>ik$)J;3IjV+MHl`h1IF0vQ-2wf)RT
zKD60x6&yNj3Ik(jM>ttJ$dIVS$c(FesLi%RgA+`_>Ey>1<;&kmHd=kQ(<wfDx-Ft5
z|B49=D_MjVbc~RFA1+<vNZ`Xme=|p(vztIpfPqw0=_EO_NA4nP6(3q=#b+pm8N)tV
zo#)cxv!tlV?D4X{d^l3NW%te=BgoQtyX7`9PabNly7F-!KaN-Obp?7ELE!slZDrF1
zGOR4>Im@b5=%hgPpK3FN=<bm{RK8{MD}A9QsBIO_*376acpAb{lkT5y16VM<mnhI{
z6hPYbXVOt$3}9fB^Sax0tk_kgClWs(h(21Ht~){uz(G6;n>pDr%m1jGn~X5_gly{i
zw8#WIOOO4H-W-@Wy`MeuqcC>6>i(I&zy#Kj-gNF-PW<n$&fHj~2%endE&Ix3Le==9
za)kspc6oc*<>rf`g?MLv`v(S;C;e=_l)!_lnKCh<rDAxQ_<UG7jsZK{`>GT8`7q;9
z_lw;v;^<e>5~0XsfXg*853b^W{l)gbuM&{NYP%p4>z{ORyH(<R#!CPf)?01z-y?<Z
z?xw19meFDUI7{#r4Ixa+G<tCDhcuR_ralplphM@Q$S2#9gt6>{OJc?uS=_?2YMYE5
z9YnI&>c%ofkaNUfPS0K*Sv3}?XB6l#y!c3dW0fdgI9~d4jjAH9b`)v8#7>7ppA-82
zei6f>icb*+qRJS4SADhZPknGq^5QU4mB53dd&sw{D(JXJAuV%AAFAd9`OJ<>BJ;$(
zY)eN9hI@KHo@1dy=rIF>xhW~k&l8sDidMz#gN?d|igair1O~N_%V6)Ouc@gI)bL_t
zn+|<F9r}j@7L3*8@ctXOsLQ+>c<DizNqrg}t{;7LO1MuRy%KG6&IW2?;ZQYMJwyji
z+mS)JdPOX|-o`urTnncs9cgS{47k{-ZJ)3JX+W00Q5icu?H_H`reaIN{K?dB4B(5j
zdK>7jf+5R8mW*T?{@zx2k^dAE(kB#J#kNwgy54-l;qN-Ay{)V8yR88jv~K-yV6Q5E
z5%c62)z(8V77inBWkZO6NuxZ7Q$vY;AF1OW`e;{i<l8-2BY10{#0<_-$9wx7FZSrr
zk+n8jZ9UT%h~C@~yHX9TNj@MFltss)6yp!ScbI^!?$sdgYE9(4x?5JTmyT<XR#qfc
zn}TeSZq}-sT3EEHr&g4kfsOH?<R)MaA}eRM+oWovo|u8`YIX+lOU}|)4q1TT_r=>u
z-c+Q#*(;LQO2>jSqhHU5Ea9`|`qpSx8t!plyE-?Fj($zqoT={CaBwo|z|=_^4u9QC
zKDe)sP91kD!fOcV6|Sz$`A9>PTAP?^V?CT)bMj(Q3_$+W$&IuH8eWj(d-2Ur2kVvJ
zE8G^a0a30;v%NoQm}enlS4mKDq03OIGRX#pjQdinifO1Iw(!j4rzURqwsLS9w}Jca
z<B|S4G=wza6{!ey<b1)MwcE@VzSJcb<i$}D$iBTFM<{qIPn>BRYzwsyEEno;YNK>U
zXyMjSW&AJw(B3siZ6RxlsuEGAg+p<CdnGyLvHXOzwd5gN*bueO{&bQiR%hCF`<{@(
zTuRkmWnWt`c$BK?<feg{n+?u2`-x$cV75RM%@)koq-t7msiOupB)@N~5c-;r59}VX
z0U4{~9=C6);$X7xezOT4RB`W*+I+<Z)>fp&Mtf1PFi7q1m4oa^+uCt;?`j(ud_ZIt
zu&AKPl>8N?_e<oX4I6`FegHfTKS8|Mu7p?2@;df~&ygMK(Td||0QT>CS})oykJr~d
zjbJaBAX9d-+cl~HxE~R@G;}}~hg<e$uH7|ETD$8qH4hQ6vFh!DoxU_a2wV);`_oHy
zO2ov9m0QE5o%`C)i%8;!FaB=5hFzrUUN#TWUMq<9carau7srK!d3KwT4ss>Kd7YoE
z6%<Mbb_s11MLFU_e#wzGQhF|JOOux+h?#MY@YM+8+w=6XGd^vk&Vi57t(PpoVwJQt
zdxRiv$+j0+Ezv=a4Lp^`9&@O@7HFW_%8x(u<LX|n?j&>fSr*jjn8U5MvRAz^yr}J%
zp|hr-o2*mr_*xok29qVnD3pENSWvO^YtXMAa(xgN{d}7#NNp!RMi+6SG{=$ty8iFv
z*_pR(oApc~fyr9zE5(7k`T`9cm4?Xk(sL4D&Y8f-Lx1|}7i?I5mRfTq?I-EOztFrm
zX$)QUX-?fYSkdRl$KS7LzsNI%LKiRj7(>{)nlH1DSTNY@M|$Vn1bL9fYJJv!M)0Mo
zyQiLo1@o$Vz8e0RA`c~8?Cdl(0(oI$59_XFa&Xh`lf9!e<fUKPSJze<g5#%cFBaLB
z$;A#$qXD+x<fibmZ#y*&VPd@Ky3~Osl0BZA#Z>nX*-&GDGP2kJhD_5gH)t%8*MvJl
z^Y<-~bD5<*qM8OUE#&s`gUk{sv`xJBO!E>M=Y3**Wd#$mDuZSu)+~|uHhM0W!h*GF
zzYA@QnZVc~xcghp66v0hQ0%au6?c41PkjH30W%Zd=htssCQnuil`FQh;oHOEzjk>t
z;Fisw7OM6NDSJx&cH?>uyh88F7aF01aL{1mv@8q$_vLLZvzHSkw|wCG8c&DW>uiC}
z4_Po*YlSm4gBwrS>gbMB=rCfrYs-8zD;`Wt+iJd@7rFN*UwxaT50yc!e)(=}_$Rw+
z)w@mnIFPgU!dRysR4$gEqpfDg?-hqF6b}gCRl{TZE9rW$(_Ff+%ZCFMeWxR-4MJ!h
zk<)rLQy1E^E-UD!a$>5(l|$JwB6ua}qgm974s0+yxU0X93&ZEacD@P|MQ95QV2{>;
zxHG!BJia{0dAa6JOrIDE`L^4vTcW|T+O^v~^Sn4ax&94Xqy+8@ek^e!od#Ba*FGJ8
z%#UJT%Qa6mq)<QbD^19N2Jf;JQpc+Wus=$XkXe#OA)d%vHwLM2&0kRF<r^U!3bJU~
z@JALMybA2sR8oOo%}T;SNCboBH9p2GD4_8VB}@B6Dnv#HMAF<ukt5V(O=_qT`cTxg
zU1F&)WGk;(UL}SSzdY9Oo>ImqJGs;oQmF7<VV2WbTLRZ!sXff^K*5+<`pl^ZRM>r>
zN&4_pNqnl}pi@w(ior|o?s@RjprbX&KO{yPGh^w3r)cW<nIq04;S>#)dId9hJY~`D
zl%VR`M;iDywTMSmO9x7|Lq5ISAdkhL9(JY%XrZbONB^Z|9SC&lBF}^>;^X9>535C}
z_<7a&h4NK;@b?SHwjy_Bd}Pike(n_wYc`C8nRx5N>f-OaPo7Z0fMDhg`vhJ5GnqYg
z=l~s7g0153KA>Ppclgq@g+89P^O0ZlV}OBJo#Lw%RW$l__?5#yUk<(tTvHj&gr+Oy
zetypCXyeZ@&_idSSE&+f^-Tk461Hn#yR3l?*B4{ux)|8^w^-&IuMxbux?7R@LlbKc
zx9$!LVxmD3$7FDtF<jsKUP?t*8`Y!+d3zd}c&vjb+1J<<G8wnSR062T!E%XAnqy*I
zk3qBhycq-;848^`OhdEW*@2)@Cf4g&+;VNPfaCAA^n}B8aMFCXLZy(2-}l<7y)3bU
zYcEgd$C~S6@#K$VBH~QUzwG!#@(2NPJzdkR?{x9I`VWymHVoWolCpRu4?wtui?*Vr
zhg@0d5t;gQEOrs>kKbhjxnIl^$_YKZDRfJB{Yzb(W4qH`DPs$H75C2+3hSZiY;J@7
zCn_eMDWDS-wvf+~z_B_{7ad)Ge)cNYME|Y_OG<KfpuB2T)IhHeo`uU!wSH>I=lkn{
z>kd2EeEO+N+7B9*j&h8~h^k=h`r}PY33fntwSQB0pNgF!x(6K^<&Y;lr`!3g9SqE#
zmpbRGjTVO;TaLVwKoz=S@^r8rw9%i$1b))QvgdhWsXK+ydORSzO3x0m!$+n1tTeE$
z<Yp3w6*oFLy;-{b)fRFym}&dYtKsJq`<i<^%VZ>LWRTG@Te!<2x~lX$1$(a53GTF?
zASJd;#j}Xo!r7)aT`m(9{Kc?6ZK&5yTBSd?vi;}g>gb6_zS>IYsv6rL)AWX5i*Aw*
z(XfFY)s(6m9P;=@e(C;Qp8>*MIv`QA5}>W;&~i493^MPhNJ&SH6VbK3@1qR?J`7tQ
zw6u^!3HG07ve!%#SFUkAONb%B{OQivzydL(m&jG`y*f*zy}30saNZgy1$S<Znu%Z#
zuVil3-#Ox=)th3K+y8oha;nTxSP%<3&lMzO{w9v7##5euvV`O!^Cb;&J}m9tQWKc<
zo8bKX*Kvm15`?nP`c}nop}`^6SDJdi3B8Pd)f_7en7JD$aodI+L+XaapC6ec496Mj
z`;M4{%K;xxrGI~9T4^6;GHaH&+r?_D^w<n!I|ZIzE?6K>RO*&2WzP^*=a){d<1vFH
zT>hR_lE29*tMbRWsndkg)Fa(YZ&N5qO}UXGK24U!$(UVEm?AWLE<ebsG69AB|DI{e
zjFazla#TuFCW)Mq;nVDVCZJ=oL*3!~F!=@9ZCb8R5V-&Od{T%pyw|s1NZR+ETybg+
zmoFP9mVH|94!t#kfY9P|>sNmvr@|jQ+_3pY*!uVxcbgf($4=kmiBIih>%Aj|7sSVi
zi8Ix_%o~PK6-b{9``k?KTr6bUsXj`O<yJiRWes7KsFaEEfd-QO*^t=As1ZUX{cx0H
zh5@j!6)|2NNhcj2XtY&uj1Y`9+l}k^4M1RTv=9St5!!;>LN;wbiT69k6?+nyusG2#
zQr`T8=<dIGExYF@;a)N7Q_jx>qr)+u7Xq4z0nGEI>x>Y0Zs$$?NoPQ?YHjj9%~qmu
zAjQ7=&IrLJe0g`R3<FAPEUL%9v=j1XMzJihqr`#L&!Qd`)8TN`TNn%KB>V@bpGBS=
zBii<Qzv48aLq^HkbNAnN5n6wmTss?o5n2wF^W&-dz$_iVyq@}vNF0<PpQ=v~5|7Wc
zay-z3JF87RpV{;hEh`@^&3PvYj^?eg)Dc}^U7KxBpXnoFt5=^?6PhAo4#|r;P;`N-
zB>q@dZ9kzWEs(BnHccGA6q{@5uLGx|9!vC}93<9VxKtUMI74`UcMDs(MuUqF`wRy{
zhKU=h=gZvK=7{-n+nVT~RM6I!_~sk_lYkO~gD*>d6M1^|gV#-|Fwb;uki0ZXbbNVj
z&N%Xi*nNlh*|8LDm?g~>xkr8x22UN8f=(<D4hk<6_y)D0a$~9;?d}Beuv6gqe~*@k
z&%$>p?haZY@6y=wNMwo_t>=DPEXM+3ZzEoWm1)B3TT7#*$<stHTaKCaVOA)ME;=12
zp$Yy*X{R$ZX9=B`-%q^w%LXnrJQwbr(SW_#3O&I;<_NlZds2B32k`HV4|Q8s2Ofjo
z?mZpzgnrKL;zx(Lz_nXp_S#W(II_Z3YBKSc=nBl5rN!{TH4UAOVr=S=lm2$&OY0@V
zGv?2M)LK5^(mS+=mZk=gcYM4u8&`;GJ@utwiU15~%k9rlQ-g^&Y8{UqS%G6D|3zi1
z5Qs<%2Z%pY1(&o>B1<i7;N-o#%x}90SS|eiS{tego41F$#~tQ??V@748LVQ^c>ZkM
zbtP4p+htA_b>#xvjrZe=o5aEHl5fL~9tvFMIM9n8Jm4m}nce)MB!sAMt{|%^pkmrE
zI-JZ0CG{VO#Bb8DE;?nrCyfG^9v?B&`MU}>KQ68}G?s(cD+|YWoT7l?sXDFD>p~#W
zR#NfbGX)UN-%z;w90df2UDkE276EwE*w*Nv4AyGp@uf8s@L=0Nak)nnc12b_)@f1!
z?k{@=PR>vu)>@7#a8(=*_v~CFAEF8=v`5EPeO00H)?)DW(~{s6(KEoMqYjB0`PvC1
zs=zwFcCsK#8vNoE3KIl00a6-+(<;;;B#|-E)g}wm&QS&;0^0D_)3Sl1L>(S=l{#lw
zD?nj=^OHnP8bo@V_MYw0fM0_T|4MySf)opfx^^#JaJLON2n*5z7Q=xwdlwbB>=xg=
zK1&~5BLo}5tf{b`W&A&CBL!3!T{{#<>2TZk(|64%9k{cq;?97p8l3#TI<1_W35BMw
zjC@7)!E{{eO4Cnu_?sM#W#R_F>Gvo;Qjh_fR(fgashXf|75H$R+Yr{7$G$OZVS==e
z!v(65HgqtRLie^CLTTEAn%*adpnEy@TWSXtGU{w2YC?_RSObe#{D?6KyrP`L9Xg<O
zdgjxM$41a&=y6xh#tbYB<TThn=mKT;$I&>_2weZprBC0nfVr5#IS)B~Q1SV=*<!m9
z@B~&~NHMjB?n=)|Sur{|zIf_hdesoV#Xr%>-3*{Oym-tfk`BePEiO3+4dA4ro$I|b
zHgHCvymC`H9Rhpr^XQE+AS(Z!lUTMbta;gL7=N1%?Pt%Gh>Fl5NvAV`e%ua(8``ac
zljz`W465Q|G{`(Ie)o@&J)Gb>y?I=p4rTW&rk?H5{O8S%<@P)Fkp5SLx#Fx3kIy=-
z*nFTsYt!}j^d)=9E|VLN8_<P4eEWb}FAwGO8DV<`9iW+L+_c_U2lV~P;Po5DA^5|S
z7mRUx=o%H2D{!I0)slu^4N<)CO2H_=uhbq=+jzMjSZjgpTs|8H%@ZCfl+QhcJ?uKX
zwBf3x1{B!$)4i^eMEPTO#`Pz5pvC^<q3nPvM7^{!;|QD}-~D(#@!Zf3n8GJM2;EbG
z+vXluCuf#P-iFRz$pTy0x%0TAxt<bCkhv!sML2PT>+*qF9$TnXjSl3LlY^g$UpgEN
zdGU4mk$mR^Hc%lNsB#FTU~*$Z*?{sYyf~))@p&%*uekDt@DefjG-78lDkg{q4QC@(
zJOMsyJ;`!+69)TZR~MA*h44--VOxHUfI%+fDworIz<(*icUP|vGE$>!REw<vvrCve
zra3@X|2UTkpD@-+x9bpht-#zq<COBd6+#6SWyY6<P%yLqZ$P^xEbAF6O4iR2xdFCe
zJ`aV^+u?{p^|A$oW;z$-%Zw3f6<e4^+lBDsL5i@cp#^Yp_?O=L(M{;>I)6lxT?i#U
zy$|7!G>4wKCR%V@F|qOD`%cYrL0o0w(d6{V3|`-!tm%K<PX3KnQ>F$9qD8v#YfT}u
zf9}U{%}n-_18(X~6Q+WgxTWO$La-?~rCCZ_@Bc-HeM>CZtRsjlPGNL|W)nCe<nbx*
z^fc+8D7+c%1o8c5(PVF?30(Gw7vqljP5#L(*7G|lh#Q=Xwh3M{2HBsW-YB?0ntiZ!
z%K0gXm)=xy3rZS;;Ri3rv!TmmK?-3?923G2pqZ;@7(w#P`jDNkSn$O;tFZtjVH9(8
zwlWko0$<makMk~USaM1Aaaooywsxup=v*=ck7E)sMUCt@??XG7q%ML_BbO%yH4H)K
z#tRlPQ%=+h3G7R55kbRGb>*Y=29V*ew;X?i3xm?19<@mk#ifipi34s1;JoeCrgnKA
z{Gd8lza~fw*VH!%Yfm!4Yh{Ib`Vuc@9{0#~^A^V~#$B^>Sxit^qKUkt@MGPfzI)<3
zB~Y^Nvr2&-6IPjvB$q#2g(uj~-SJ72L>C7k?z6ucaP;H3{p}%wI5x3WeyUvxe=D9M
zG;TAXsbcNqZfRj$;fnCPVIqT^Jh?l04lzJRu=yw}uLvs6OWw1tm&NEq$_njv43Mt<
z+WCS<6fe@x9rg8+$AAH*@)}tNIQyKnHINZQs)qQsLlTPk8s#_IEzm)it6HVZLLAd;
z2L&6al+bU_#e|1Lba>vd{9^Zh3EaUQ@g(K9GD`7tcfIbR!yDtN!m|yMm{`pF@*4*Q
zCrURnZ~e>fEoHC!AuEkKET7L;D6675?^I&L5*>Qx_tom9%iyGVS3<`cHFWa0d3c8!
z1FnDae_J9ahZByT>+6oGW6?J@CzGuV2no!4X!b}Rp*$;d@u3E0IIoazZ!&;q?ag_Y
zNJX4>BR1r-YGLdz-Tsz;`>lzQ($cA<jOWt?HWWH(qwC8DsboA8!dpXg>jhPCc5%&p
z>2p+c_b*TslQe)O+3vIeP701ZJGcFB6Ae8&1yaY+0Ma)<nHXVJ#qEv%^{LJ3;2gVi
zllU1!@X?U`G|Z}o$N4mlZ0FTO!=vUs)j>uO{CcI^nN1zddsPl6FX~}?PtiEd-x%B~
ztOLSU)KRkZ#QnzS`dFuHH^jQ%1X5ggZd^61fwl?)l;1QuQmTVoQ*um!lG!W1@vA0Q
z|Ip(W*hEJQo1&_LRx>c^np|GIqlJax>i=nMp<~N()%H(P77%>mfyBv!+BiAs|L2N1
z9m}J(Nsb3v!sgL#!8Ni}%=R2vQ2eTolRQ;+*;Q7+5iL+KokztjLGjzRPU@jBQ++OG
z+#1H-<E_d$DvJLWzoK2Ei`uRlO@9Od>a>Gy9@n6upN=W-Jyjhn-MoH(W6r<Xu=?nZ
zTrC=I3HW(m)}4wcxpdn%ir7F`gClu<fr>W|Hh4U9*23x>R`sJ%Ht>$#_9po%75n)u
zOfM*F;E(z8bgpMMFtEkh(@2tv`uZ<j$Zx86(>LTCId20$$|c{C+qH53*yxS;JQY+m
zpWJs^(iZj|_0B0y)WXG$!Rt7i6!F3KvAu>0w(wB5(O^fqCcb~jLy1n6MKMjQ+E_tb
z=pt+VG-EYz#r0m`=K@J=J-5tqYt#nx?mp29-=vQB_mgrFLSi^_ajg5u0~`3vd-E|;
z)G#30#HF}N2zf?M7}p)K0dL_0neM|B6e;V~dAgbpD{|sU4f?;onG!G7SD}Kgfpa{8
zd7St#N5W&z7l7GCfon&jlyTSFD;ksrR;-kn+0hXXu<aph++d0#-k6=+;mceijo9z_
zZqWje|8vwj*HIpe&bxTTIn9$dA~{bxoG0LMmyB$Vf-L50mX{V~&XAm3z&g@q4c>2D
z%O)kHad~$ibo`hkJwMTv%f+ohWRKW#2vZWT^j}Y2r!_$yq*{-2dRakJR`AQ>NO6pr
ztgDRn{6&t{s5S^+wuD>dGKw3%h+>CyV)LHDF)}oEgJw#<1z5}cx#GM>1i|cJ3T0)C
zd}7bi|C??B>~bw4L(0OqY1i>(MT>DVG^1%(QJgs}WnN|Ln-)Ocq`BbctO;_B#j*5;
z4`wj4L+VuP2tP_Kx7|JRd6K+kwBYASHv`5W32T}LAM!=_I_UULlg|gjXa`eGVH2l8
zDO}~jz>W(uy98&+ZQJ}&X3_+D8b2zzxO3y>>j$NLN9Rb12*GA!ZxhHn48nQVT<Dzs
z?MmGEJefBYxcuaqF$|A1EN5=z#JF956*q}5knFG7-ESEfL(RaiqRt8q^u6;sk$3YF
zsoN!ecD~dI9Ml}9+_gDyf%{XK-J=z<vJHs~%0@7Ca%#rn9Xp0y6+Sep%!;22x4k}*
zZwMW=EFKD1+3_;<=Tb~08(t(DzL1KB5S3EK_<EilJ2tmlmwaYN)wK1(-q#Ia@IcA}
zS;3B-O&6(aJvp%?<-i3`Jp<@*SE%tHX2-&)El)2Fa$!QDRA=);CS=j2c<(rHps20Q
zJ&p_>WN5tE*t&rURbECfg`aa^63B>qd+{O4QVu2!F(8TlCsj6(6MOZ;g3~Nl;lZei
zX61MWs6K8nd_&>F^4pgEegFJbUhIdL>I_J8J3SiB&W+361O0xc!pNNu51+TtVfb}|
z<Xui4beeQ^+!82)4u!*Cw;lesJK1Dkg;II(S-QkT({)iymFkmQq0vFaQtMA+1Rqvs
z{P>l*EQa2TG;P^teMq?H{L{FHAL%nURcj(7aCgdVB4w>UG}Dp?cSQ;yKc~6B9J>_$
zCmz1!_DK&sA3Nt-GK7%hQ~WEkMjDS@>f0)FSP!<ui+<mpB8;mfUUo#Dkj3Gpm_`kn
z9$1dmzRSxJK}QAc%E54XbPK#XzGqSwXnr8KuU-_7t2}i)9<PY(k1w95zR`t*O+{lY
z(_(npZuJ*cKV@Win+8ul(}h2Q`vM|XOJKc9a(6(A3f}y=kFBEPUmo_Ey}T=l``nd(
zb+u4%Q21W;H7-5q3Y}l+vysNIU$?)qDyd<P?$Nn}K6)VbVE4nVKV&c^m6CQnP929h
zzO86==)sM)+jz864)3_QNVQFAU~9{vTdXnqP!MZ0$DOKx!9KU8E5o$#__Ll*phbsM
zvNL<tla%nr!sd6(8EuRizF4eSNr!yl?pu=Ylri8&^h@y=8op#>Gxcy`K(oWl(}#m9
z7%@EkHepEz6ArvNIwZh^T%NQS(%h<88gZ~k^}s);mXj$lV@!ZZL)H{MHS{bcRX?`s
z<Np8v0RR6Cmv=nYT^Ppgz4zW8n`hYTcYBN|q9Li|m1I?9MWvLLQ6w2D6e?wvREXb+
zluZMn>_YaI(Ce@B&-t8lopY{pfA32x{NHE(Sqk*k9560%Rzv~;rret`L=-wCK>LMT
z2d-MbtT2uupzp_rYRouE=-}*Z`_p~8@W!xHkH1g}!J(LkjX@+N77>)r`&<u{S3{V!
z>y%N-lI2{~D-zmw{Fe}}VgT(;g+Zf@Do8l3Ww@<{gi;*y93v_WfxG+MLSKa{Le1=N
zmr6)z^|e2hWNQpVmr^6{TvbDulPzWJC<$@hctiht)C9I(SZtIlsG}=J{6bBgM8xCK
zZsmOr1Krq5hXOOy(aoe5n^-O)iunn@U4j6Z1P|R)?NLYN9>S-X$eO7BPi-Zev>B9>
zP93lNu8zJfPU@)6s-a<i2ZCF<8TfvZWEOg?j!ueI_E?`(L2qa~44E~k&^f%4MATJB
zadQd-BTosaYc9#<-*qausXO6E64lVXvsX-Q`{dE`oQl{$0~PlC_L^ENRz>-%iyQ@P
zvdAN}Zr7(#Dtr<Po7H)sf{bPS=oj)N5SvFpMc5b>$`W3rWt~w*w)-AN#YGFFj874C
z51OekIx{>LC9Z_#F_v&bHy=84fmqp>xwG%70Hgcmis;L=b=SuZoT$BVgje<u6%y*2
zE_j$KpxehoVwu>PkVO*R!He`%Fz!}b?5LMRO^+q(R^I-@&)d|pzAi8Wwd-WdwcWC)
zgU^g-{n`qC_muR69+&|~i8=d7xis>&Rh>_d{*5d4iZ}o00w{TQcQRl~0=X3x>{it5
z$49ou<hQ&4JS){&JuSpg;?LzH4JT`H@8^1pO{*A;<-1M>y%$DbS!1lOI#yvCF~poc
z2@Ebq#UVdGL9|KfuMgAj#8`UtpYU6m!YsvtaB~+wy5{#JEKj@}`(;PJQWa<dXOll(
zFSO%D@&}JU*<AUCMHyr3nU9R&$bN}yboAVaQ74dl%Ci?^EOO(J8Z?5K1Ty17Jv(}J
zwv)AbqX*M<j4%k4G=gg<s#>%9SkOiU<`yU0g{6r!9nEwzgqyhwrs-5BH1dT`Z^iHv
z)|->65%kOeKA*EZFtkdK3>Duw1rwUE*t*b-?hSo7^rQTW^dc?tNq;Zdky(RnJh=2Z
z(Ow_+<qi7`XwsmQUcO6)8rhhQgbnNQLOtMJxYX!wzlHOd?&4W5EWxMC#mo6w^ne2n
zTq-Zwzy+@JiAL<N$AzwZd>-bj3)yG{D?7K2XMPKHsNn6ur@r*Ocm1LR>ozIr^hvAu
z@+N(ipHCOgrn<b8iRr-S3_3U7?Pc6}HZ0|fO+T(d(YsAkrVZ-X*Qe-TFX00`Mcp~K
zhw$I4VO;(S+Q92N!T;&SB0j)+an>Mm6wk0UyW4n=0tQJ8LWWZdc((1iIhymo@bDPV
zff*4Bcn3d8`*>slXEBc<xCTz*&d>QDf5;%iz>!eq`ptR#$mdDc!tiNax6vcdSb_|R
zPHd+%+vf3*G558ltU0{DdrZeTj|BK$s%UlNJZ>3tC*+dP0-kSCcKD?R2|f(&i9^%#
zcmSRFYZ{Ry+;s2pw6tm>T)ABEo2<8h$M3hle70{HkGx1P(ql`64n52CyN?!d1uXmL
zY{e?h-qL!jw@wT8rPk<k7%t*dZwubel&s@r_UC2u7B%5k>C;8og+=^o5XD!rc>^D)
zDA~iPq6rfxz80;tEa7K!9!*^0*un#nHx_A6X}~mBZjwaHGCqz^c)DKvhvz>pxt3R`
z4jbQRtMcYn@Kvg1nIRV~ddID0vAv`Q!+p<mxs29u(V#wusS9*Sezk*!Y^et2#hwBO
zOV{yrk)cE;W(M?EQE<!mzA9AAzJ5NkcLNXKtG2=YiV;Z_bswADRDnm7F}iGtP24m1
zvwcSbGYTmlpxba)fvw9U^&{fjID>y#nqwj>8o4n_%kV`REGT1T7RofJ>fK^7?OS%V
z|Ged!*xkyIb`q5axzeKP_qU28rMXaEa(uZ$ixOOjr3B1Y(4p)x70Wpn9z<)laWThH
z2?S3ZVK|}5fbjeBX_OXTbYc6d@5FBc?0TsCq`rj_X$iuT>k)o*m~iW*d?EpE4`lAK
zy~T_I{Qm}datR`>&n<6X81BsPepVTJjTOCFq+K}lTL{VMH2pSRSA?~v31duo>?nTt
zGs${E1o<yo{B8K42vPzu0rRVzh~jiX+@2tgOb*ixJbt1G40)NgL^B@rAJ#j3JW&!^
zynDD_k*f%Y+PL_;@_CV!b!!wKzYH?@*?r#pg(BPwnl4CH=0`(Dqcu|(WD)&zE2HkP
zA~?T}lS^+GKvG+VmSNj+Xew;7L6A%UQtN!;c!m%<Ke?-B;l2WLJoL6*>?r|$&hA$@
z94CUlDJ%1}A0{Bbl*UjUdnNG2j6Gc*h#{juAJ-TSWrRwt%Q=;mVd57SJuobRs?`~k
z%tTcYJ$In;vXKhlF{wp=c1xos`-g$S!s_U=(~^5_iYg3;UcB*RMh5kreAInSRuipT
z=VnD~t3&WDC*M(PIh09#@=H#bi1K*EQ%raKS*5ah=;BLx)N0l)+$Tap--o!vd5npm
zzbnu^R6`Nb|Ccgu!$n4a+}%(5-X_75S!oZ~QUZ!{O?D;El2Q7_@kja+6xb^yX=tFW
zjGA*#7IhR;&~=G;I-zcD5IwHl9`sTLrHY)&)Hc&be;Wyh*lKm*F?}93Mo>eUBftL5
zWoe^=%iqmM+VsKlNksK<ggOed^UYy+p^Z*=J~e;!*AQ6fuU>onN&~@34}Y~VZM1TK
zUbf!A1T^;@9vrULM63grKGfe7v{5-_QyYSTd!CDMSd<n@M_F3W=_sg{Xzl6N0g$77
zBBPFuh`4M2d0c29A%zy)>~y;sq?wmXD~l76phe$$vC+=RQ*h^e2^De<yAI{D5Yd^p
z+!^c>>S+0^SI@sw=1@h?RTrPCg(`m6=UURMp!K)&BC8ALaOr2omveQRDEq>Q3vpQi
zjqRVwcCod9h2JSrnh!J(<Jv8%`7ar?+4`(HB*X$5IHbp%4b_pC8n0*{tr#MkwDko9
zTEL);YzyaIRm4=hycE>Php2Yis?F9Gpc2p(*4w6x4!7LC+nB|I#;&um9p5sCE)ABf
zm!kyq>{*3c-t!H7-1zL#^bB)|bBr42n^Zt7Z^{p8v<%?tU#){5$(n=j)DJz)-*PDR
zcP2y0=|OBU>=OS*HWjQjJuH(JWYERn+h5}JmNDw~<iLU;6*Tx>*yVFeA>))WF0JY<
zj4|iS#QS(NFb^kw(f1TXWwRgqOFifSb?wu=Nn-~2vW9YgOG3zel`inxI0IbXui@(-
z2B7%R>QQtRKbrh0t#jiJ6U4>%zl@#1z>mq{*)Yz7Zv1eI9?oKh_MzN@ghf-JQP3%n
zXXQZro+>iIax8EwM@%D@&J=6~hMLp4nUU%iOPul^7T6sq5r0Y21pfYQ60W^ThwM|Y
z5$(t<@K9;D5SO_z7@PcVIZCsI|M{6CEIG#v-rBZGPXdg<Q}bnr(VG=q@W8;*!Bl3L
zHmkpz{mc*^_i~U6J!kQa(!bH)h|D`YwoZl_11MaATMTt0xR9^Fsr{WyP~G*eYE0Jv
z_L*+5q*ip|qtffTA1^Y2N9U%?e5^jusO>HIZJmu#sKKcshD;z$ul%TQP!C=Whw;WG
zf5z@fCDeuRFhPQR#{&&hJ*ZpEc=n)i2y>R;EO|%A1a<rLJE9-z!i`X+50fe5nC6${
zyM6pj@I1KiS2Bk#sPR3Zx%++wn;LS|ny_So#T2!J9G7-D9;G;!@OA+k_jY@9^DYyx
z`nEo;pVx*;FQJhiCzr9vE3R#l{LIi&on)HiqYWMTGKwp|R<RHEFWp|1F~jwx-0l67
z6u6dqe>uzU50+k_Anz5#0<X(5?roi>fX~&RwM`HIVz);3G}^ebg7?Kq#_KC&XekId
zT{X9bU7PmqObB2D?^rA1$~7`<rhnWMDMbS>D`x-2l(NHP?j^nbf@ElxTby>Wp@oS4
z4CRl)oWNup*Z!)A1deMZRKrVjaC#%^1z#~2l#lHFV`)PIwrWY4*H!e88%@l3t<M9p
z{wmU1Q$%37eI?GGg%MWeZ``~^;RUU5XV20UBHTD~)9j=d6WEP^bv|Ov2M?Y3eEES0
zuL)1oEC!gtKhD21Ae0~MvbI74#<k#MgtHyx3@cQ5(cExs5P<#c{0WN3w1CxhmFO?R
z4r=B~Uz3SK!17>X+hI@>ZccEz=#6r~_~hB|HPymU^=6gMAV3qaSpTc<JGo#tE#vnf
zFHsnK@CrXFqzPV)oadASc%bAhS=2;d92OUHGDF)mAXw;#PHZwSL|gvg4ON$fy6@uk
z>6sd!v*hf|-M|Ow{<V*+tfXOKXm=BDxCRt|XOE}y3V?Icy?9E!45TLB$Vj`O0d2Pp
zJ>x<IA+FxZD0)>EEOn&yDR(r0J?01_VO0oTUePw|G?s^>?f=vqJ2fCo;y)v~TOv?|
z%E9)I0?fbFVQJRVgn;Yx{07!yz*re^CSh9<jQ4-Eu6(TtDaw?ZDsc(mOBclLLzKYL
zqU-OS(^`<zL`m^smx8XURG*`Nl;N;y$AfDsM0kIjHcX9O28M6eT{n$X1%Y1ya{aG~
zpy>9Z#8FZfno#8)MJ{#tZWFL@+nog41izJ9Lpey&niDEY(SV~aHRp>o$uKr*q+#bK
z4>XsB#ojS%ft7BqS(z9GOf7||N;egN7^#8pB@uyB)`@stSsT1NbU$U+C_-=_Md4fv
z5zZHch4ee=KsDjQyv!5<1oU-i0{4(WTX$EJ_hVgPFXDYf=2Zq?=d;1mPf76IV<Dbj
zKp&o9RLRRKDxg(manX8+1oPv92WK-3Kvg_6U`1UOmhrHbz2hW!`}e^?ZY?9&J1<kt
zC7=dlRg2X6N)njL`|e6<Gls>N%kpA9YS3%Is>yed1hhG-HND=ZJATXKC_AeT18449
z%2p6z$VSYBXB~q^PTMriuj)|sVQ=>J8ZB^V#p9ML07L_2a*gOTAZ@5mw(pq+^yohp
zeRs?Z;%v>?j8@d)QYTXy(@tMV%-C)-m@<QRIbC9f&(y);cEdh&Ul}6lw@e*esK9v7
zmVXaH9hS@j$5z@Dp^M|aNpKkzg6~C_Xn3hX`hdem^Q;`q2!D)2JGt_uxcP#Ah$=|k
z_<855$d2EJ`qd}asL<5Tku%|>0_8j&t=8|vpm%lTE883u66+84WD6+6UDhA%uFnPG
z88tb_xs?iA7L;o?6$D_V*}ME)j2GH-yyRZoroyFN<e56EA~<~%vaS|og9F_frwnYU
zFdV`-n$jQ-Pm^oX7bNK6GrP$g!-5%X(k1jJTgt)mhzrYB*akLa=X9m_rWurI&GbBM
zl7SQC4d;X3<}s!`Xr?9X+{1|90<lyISR`&orS2cWp5*sR7*zsXe{DKtJRuJ4HsoI~
z-Zo)!rDf;KcLUVf{Z&n{6a|KfzEMq&ay;;0*=40S7^vQ7?b2)&0`2L}xEQZbxYNYH
zaoHcHkj^6H?RiB2UNvL7!q0l~v@yEpG)$(D5bmrt_8%XN@U<v=`3&G^A2OKsP)vZ=
zur;0a91mRa!~&YthwzBn#7rwsV|ds1^McoLPH5YH=&{B+gp2*j@4A<31TIGw<fkcY
zKv!dY#z=AiKf<>A{Oq71s4>>>$~?{tA&du8IY;|&^FOJos)~j{bf^@`>D}Qj&)9QR
z+l_zlH#)22Zvfh%oJUG>=pftbnLAqhgfI6s@;yiTz!TWvuK$b%^i!<c>Jpl8@wnJC
zi9-4?v`$Z<&TL`JFE0CK?ybSsCzjYQpVNb5*(#IG>l;|AA4^#-<2~FZ`tA+ePr5+M
zeDl8l*>%hzdgQ{%`4Vi*H^rh(M;Gv?%G{b3s~EBnUA?+khv9cve->x!KwSj$c8UKo
z);Z07%Y&~S>;2aKYJ^<}m?n7r+@=;WH>s!MJ@H?$>D;Sl^ux7bx?w2(a?t|zS$1wx
z@n0|YdOo=;evtw;cDJ}Wi|4Vs*FJu;^clp|=8F6)eJL<`#`AAY+Z+}q-}~C%dj#tl
zI?wxff()M&IFWGSEC$J1x}7pVvEskjRReD_bdbmIej1s<>}?;Y{x>v^ebbQEah@T8
zs2LL74w%6#)k-Eti+^JpMtXt^K_rk`=2v7mFoXH%%(*>D+G%92&^gWiBSOHrq}KTG
z87%4BMQ;PE9bMC(eBdS#N}N6*kJ%aQ_ROL8)m;l%UZln5H)$e>zA~4Jd^n3qFN(ZT
zyRd|D^Xsu6_SS+eKXcmt^f~O$(Wqy)^j5HM6Asg^nVQfPR&lrN)I65A+i#7;w}urM
zlX|N=G+<`0>b*;{3)nJC>Uav*A1t~=kn<#m2Kc%^aeB46fJs&D^Nb?>#rAj_B{|uv
zL*saY7WvO22H%|dRU)>qLwD$O?`Nn1?Gp1BlE^Z)NEfY7Lqh{iqhjM06ROZ6#iHka
zbOjqDJ!B3$N(-i$qf*|cs$gkBhlbv-VkenY3X8hvfY&>{g_xxR7BP8=WT%~icK_EW
zmH-9_v`A0*w5<%yGzVH71UE1`mp4vk+Dx!orstO8tqeKZ>RXTKHnCHp5>kg`SU~(j
z|3Z7e62wTI|0gWJjRjD7V=@fcpkn)n_urjdX>$6<fvYAo;C(A$vow|i&Xpm#!fymf
zz8Z5VFP0YM0xnD6=ir8IBMyzklLS~Z`-Jir>EKU_xtq&44~%ECjb7bQgk0qf`|zs_
z;J!z9?uR!YFed(2l#!(f>3<yd`|2^lw{YXzpLqnJzqVRj)J75X!jGyg3$wtXdPdv-
z1_hycaOp-egCZcG9-~nL8|1A$_kI6O7>=Bf^8L}F00X-}`C55#K)&9Q4;D0HpcZK>
zZc?lO<HM>)Jcqa-JG3!V#90DHw7UzA<|sf*`}dW>CLVC5nOWWSOA5Y+M>d=+RDcs}
z_w0hq`5=lMd<pB4fvU(qD}p=g#~(Uqh7Iz=;RODci34&FXZ8M0r+^}K_ndUNk|PN3
z@(*dhnv;j`#z%6WUQq=39}LfJVuS(Aep#jO<YCnt@ue392~aCu8R2zD6b?yB1f_;6
z!HF|VJtN-<U=-aQso5?L#?deSUOBA-=LUJ>;fE457a66SlB56|>1j+qrv|3RALs8&
zsQ|6$YL1+%3<U3Y_%0f|!>iJyb76(5(Ei5j-KR=fDC(RN?9A5!uYV$Y&c>*NtqW5J
zqmn#~h&6?`4-!Ej&(XK2MiZuPaND!yE5L<oLZ1@HNHFd8NL&0F5z78_7Y?Wspt|+q
zsgfQtMCQl8@>3;4ki^|TtZ$V-At$mSx`YC1E=C2>KPd1gzO?kz?j24^MSYn*rVVba
z4^eKN4sdu7&I@#?LV9$$WM`K)T;4oj`2DLMBsFLcUdPnobdf<fABPV7vwm<Qf!z=$
zJj%nrBx%4V<6L9Qk~ZkC-7Fq-HU<?=noX&4O}HYm^|~Q)r%ruu$)Ybc1%{)9=5zP7
zfV<dPhVL~6W;1T2cwYq2>}QVtyz}obre?0V-y}oB*Lx-pZkWMzomIWD4H4Q6`3L)X
zNDzMZF^gs-6_RRaZ+*5R!hrjik8A0g@UE(Ia@T%ycz8iiqFaav4?eXzQVUe!==T<e
zpe1w2@?7n33Dkm#g7sOG5CV)@J<@eLVF6{7M|0oYH9=V~g`9672lID=gZZ;9;27Ia
zW)T(*s2$V|$<>triko<(bfE>fX6^kcd|C}G-Y%-yMF@alD<}8U>lV<Pny&Zmz6$J?
zXE9miWQTO8Adhl$3vdZI6I}O93BFiA9lQH{3;WPgKfpI)4l7MUdXf2xz;&-VMP_9f
zyP>`CInCD`Wc?h|?e56KVSac16vZLD;+5pvW8+jPkIEXZij#%VvNz8g%2sf)%vP@N
zQ7TAl`6hf2l7>~ohK;)tG-!{jpix4r8H8U?TfJc}4jtbr1!UM6&_r>KuZ^i0{PdzZ
z)sQa?eXrwutoxae+vXl2$#Q_KX9sxSnF#=O)T}qYjs@K~L2sX~4&WfhKVK%r3pZCX
zIOY~ukyp{!5iKVSVynLKI$z*`6pi<C)v0W#Uw6#!&wr-il$L(xya6+GO1Stjbh4o{
z{lP_<Atn&~P51fZ5IX3s9JTyf$A-L2{Ero<8-rnNsH%X|Ce|bNm6R95hN3h#vr_7f
zApX(kMyK3m%zE^G`L-4t8t&Sa6#vH%M$%y;@az=!zUD=WaR)2P=P0r5)Hj6vn63dy
zegF&c=_0G1V?_nUuk;>A7{D=$=uV6aVFS84`%9!*(Hi?dqI;)4#6KD5I2ij8&n}c{
zJ3PXI(j=e7pH|X`>zk(pZDN1mL8VJNgS9Lu%r4!;ELsmzb+VMK8-C%_Ifa8Ul`P1=
z*E}R>QWxs1y-mn0v-rru>R5Oe3(8ugGc7)#3%vM#O0VN0UdJjgq$tRW^v>>Y$gkId
znErk|@YD+Kc?=qDFR&u+HuC}n10DEpeR<8@d>!|w;W~ASi48e<pRr|psSOz$c07`Q
zHgFdExxk_-Hq=@#P@%4^4GxB0G7`79aNZ(|tJDm3bp4ih;EhTOF#T%n-{z!2oywoA
z_vUgS^6X7nf&~RM20pbm@1;eFGOTRuUpWy^wva0AS2DzB$y7up(;-{Gj=3IfZe*RP
zIH$eC{X8bwCw@KjXu0tNpX>=9q@Pu_XN;Z<$&XlmrYbQa{x@Y&j8t9}YSM5T%O^qi
z&_0%iC?<4=PwJSU5g)4HIzSV>n*<zow5E?2nbGa5qE|fk@*@&oQ6>Ev5lka4Qr-oz
zqPsjkpcXEG)csskB%TuCn4>}LWiEDf&yRLEuTc=molhI5o+QGh?T)j$^&IFyLSU&Z
zSr}3JLpbRPL<r+91g$hKlxAP)v|c5G+zhy9Xos|b^NAI1Z^?uFXO+L6J1K^qdv0Ca
zh}MF=J`u}Z`*@MVYlFQtS`vt-t+SyN(}J7y6AYvPKBQqqlIWF`La)Xc#t7V6Kn%KQ
z-t(9r?fcvsTrDhv+8UP_%T_fZMt?z1X;}chvks0wO_oIzzpyJ)>zcr!>t^e6SO{?(
z`@#D4xEx}srb@PnXu)ca`@iTeVPw+inC*H`9(j3*7Tj~zf>_fZyr)l#BICYY9P5(`
zXpXYQxmc?O`~7RwuStrddw2d32P_FFNFuD+ap$}T#l2EKPDmi1t>L!FVkN|-JyU)r
zk_ZG#zlV?8q|h{*y0e?43bL6zAl<c2gvbh3Wgib2ByjVWSWB`h(zVk4cjr0@u-Quz
zTz;~Mr-7H+M5~S-eN%3{rA>x?lX<_TuE`<Zh>nBnUK+^%JM9<eZ8FS}`W0PvbpP7o
zv<j=yMBl4kR&V{Hz>|I5qg_=B=(X~xJsZnf=s~ERU+1hg^xH%@eeP96nYC|DE?gxd
zf2Y$Y34*%dy6|>a$1(w(8!)r)o+YAP-`@S;J*>C$E)uR0Ov-3+*2b^Wkc0$%XGaxY
z>O-M$%EeI@6_imy4LIgXLgI9N?&b=Hu+jbZq34PU5?QvSCp(dld&#Yjw;mWlObhjk
zN`op=cvtQ?B}qcJshhru@+QEfp6a{noEj?MOmbp=PDJwQjaT>On!-Q<Z!C354ds1&
z%Vp0)L>5bh4#`Xa@4Tx&_*<%@a>qp{hfA911-bfPR4G6ntxL4GyE@AFM|XMu6?OEd
z71tTCG=nmgUh1jc>L|@qm*#`MD(d;5JfqfN23cPS(%1i}p~OoMp4U_>A<VG!6`v{<
zG9{#D)^_v+l9O`lBo)yE=d`ti04gMR`Jd^3rHVuvLw$sT<xu6s*HD^lD%d&6Wy!Ru
zAf7PenBT?Hh~1<tz_6GKl7oZtglc7E)#?91qeu*eZYp$99#Y|hL|UEgbtN?D$cGuw
z3n5;cf~b}&RQSaaYk$R<fT~`Y{GxB-MXW=-ntnUEa@(+~y>?Im<qZCKsUgIH=)@@#
zALyvSW^z`lCQKgfepH|ykj;p?ONF{lmzsgdQ7xexymBbzG>LnU3JnSnF)n_!-waxc
zZcq6X%b?I)X$7G}YdDkcg^`pw02iz9Z2bZ$lu__q?UU?0F8*NyoxcunvyHB>nN0%8
z74#J`asR}xMV|QgpEN*F(fn8O6j9XJQEcIHpcj8A?>S%Mi@_zEd-r}}!btne<0jIZ
zW_&T|<kD8ADU3_C+EIlC(OdD9{~Wq1aLwE|1$HeaFw*R_>xU>m%H6wQIOB5zzb*6Y
zXa$W4$nbk78(8zAh#yI&>4y?AOyK2#F+*dBDwy!^Fy}_P65~%i<Rh@YYsQtv7mPrg
zU%TwW9u8D+D6xJbHWRPlTpOOOHH4n)QAgSHS&_{a4fagrC2nmp|9OGM5C{^Xj!rhr
z$W-5d&|$g`|IW0TNIh%-{{sL3|NjivcRbZ?6aaA7-g{?8xc72#uf2Z9DoPZRG7~9D
zLkVSMm6er<N=lNDN+RR;^iq^cNr=cOd++V_=kxq^p7S}+Ip@1^%em&Q789a-QQF91
z{RJP$6mG04(t*q2(h9cT45(9b@Ogn(D_%Dt`(2Y+2h21r_Ym6%DBp@c#W}tc-$h@d
z9^<JEf2~l6TPPjkUt~W@7ut*OoYHy~(Vzv#0=}|eFW<z`uf=NBmI1t2{h%g;suoDR
zK9=45Z5?luEjjLFFofHwwU_m0X~MXD)5&9|Yd9wKm{wUiicia>G;OhK!u(iDUKR5y
z?mG1|n`7@Jeztw`w?UW&Q1^1zO9`&vM<%%0GnS@t5cLoWU!uW>13XqKUduSMiK(Si
z+bmAH=i~6op9Zq>wNkwcOL*aY;81JbJnrN;B~w2~h0^o+$=PTLA0zzZlc`(8<6B~4
zA6=$`eskaf{{NP6jq^7z{cc~zmw#Ir?cP$~jx%s|@6r;^oz+5?WM0G1z1Dq{7pD&E
zb-s)nF3Y%g$B|_h+YLOrb(*zGOdT}q)^EhlFXPDr(R3m2w(u$OaJsl6HE8i4aGbAP
z!B5V&?r>HnAmN-l&BCT?z&ro-Zg=r29!Tr_*LIU04ex)++woQv3IaIwuYOy@jYd~5
zs&X(QXa74X8cP&dOUjYHvvUJ?8Df#l%40(4d5ZM~eF`iYiulJr-o%d-V&&IdS<sKb
z<Bz^wSAnpqita2GI&|iCa%P+X8_Kpa`kMP&8Tc)~4-@1FsAIqD>2wngRFWb|wANFG
zn%&3$yQo2r2qqVgzPreUT)XWy4(F1AWs%xZdYl2p30@$cY3D&PlNBuP{ABoYN%(E~
zOGac>ZjNPZ^P#Ju)9*<)Nsur4D(RyfGfJOjvApttACX^J<>w2LU}yYKX}?MqRL;|r
z-K`{u+>?Pe_ml_+`i(eF1+byNR<V~|eh48?Ny>p!Rz&FEW&N(og#&4ThhpwS5hP!)
zbUSZT3Fu^Bq~=`ULd%5UBUX3BP*N8|OX7b@5O$hJBD8`Bb<FK=8n4`eMov!OJdvdY
z=QZB4_>1u&zYLy=Kg?1H>$DB{c|!^K>Fv^LF7Tr+;ST~L#xm$|YpU2>vJ!l($?BUL
z5kO_Znkyx@Wsz4%@>z#+C0Kn~sn--PgpA%x#%D3gq5fa?gVGyHP|=j}Y+OeKg>ewh
zmB-1WTf6+62tGuJEIoDMrGOav^t8~PsHA`l>)dVuJqa><Eyl(8cc2FPFMCN{iYVfH
z(`acE32a_`_;O1_5;^>k5UqJYMAx!CT5~>=;ohE^C#}KK=u;10vDZa18c$mMQNp1D
z*8D|MA7*4wtla0VpEfG!_{LxFTS*kK3%;5lptTcmpAZSWOHxI1>qb$os%p^VVO(Tz
zLk>;pc1BKKRYN}E_5B{0I*iiy|I_>@j|vX<|KoF1N9DE8cMb+oLC5Y%)lUlrr0u$R
z<E0c8J&GneeELI!Nvi(!SH+4b>HO9GxeZjLO-^9mb50Yw+8!Sg<RT*V;=$l{3mR$(
zR{rg&qz&4wVsVqMBoySac8icnLtkY}C8FqcfgeA7g)57U*lN9&c0Z#b7QM;m%!_*P
zFy;fROPMm-)SL6$9ZW-i^v{~<FBw438=dpV9;qOfxb(|vTT~R`{px)Fk`c^Nh`PU=
zDM)7HibT6M6|u~U-*fc`NMa4r3T>w#rBC09VG8O<#rKZSjU&e3u-uvQokJDzvkgxN
z<*6dYOXZHkyG)?1_o7?-JOvqC^=$M>R7L?lXT`L>n}ELK1&zF93gY}g-G4!Wh|={F
zx|tkIVW2mq>{0J_-VNwa6{qe(ehc##tzMWy^5jn}ZbTWGf4ZS;yeNxyhkdC}={E&s
zzg3R8mt-_MVJ!CNp9FHS^=|kyW(xm#$#lNmO+v*tO24G;6-K2c?H0q|OrfS6ZK{_l
zAs_C!dv)f#XjDtlQ!B$1UeX1S%+?f;2kobL>>v{|65MN1VgOq}q`zhgw$wtK7qneS
z=&bWH-L(~bInQ|P@E;S9SGYkr?J0*&PgKAopTGD8C)?f4z9w*7x$m@WhAd(f;ty~7
z{tg?TotT-QF$QVra}ldgq!E#n)72t6jLE)Fk!-wR48wHkU${*rP{?3TXHe1{_VmX>
z?Xg*ag<V#6T-n5s#L~D2qv#5@hfO7vc{~3@NAA1-APA!!<K%NDtLxaQz{=XVaSYzO
zMistQ+x}nnYNb)pTNrni*D<YCBZvx<d8nMpi}XGR+x{0$2eONjQ6yd?$RRE4A34W~
zDp@r+lH2G2laKc4r5J*5>h(9nGOQ>lOfZS<4;|2lO3!;Z7{J6@NydskBig<4_w=(;
zI_Mm0^ACv8hlE11gmyI@O6#~iJmo?M<>yT7%4_w2C9LM=8O=3(-=~M<_^~Z4&jAS+
zZt4Qd-ZGnkoCVxPu(3vrbqiyO35xz<t_zv7jmK0Arg4GudE@f(o7j)}b2)F)bfBoz
zHVF$E#{F4-)DWyUF!j_E-v)-Xp=0<=z=J2f_<4c8xP;_&>~?YM^=V^mIDwAwzCHc}
z*X}qS+BLU^y;vF-i^$c2tld|9ZfsWJ8iya7c7&{9`~JO7v0&DM`NYD8z&)i{<d?PN
z|EOzN`@7_^&9j=I9Aw!)%<vg&DscF5PiPH$;2OZ@)1v{dbUjZ*HrudxF}}bAr8P{*
z{BQc<gBq|S{n<_lwLe&*HJ9y<Gi%tTFsa46jWi&q8ds{i4PeUAVi&{yu3;Wo$6STY
zXi&|ni|7Xju}r&T1&vAT*zPhnzWh2W%*8UKJ}?-??w!{1XFs=rNg3vSrR||YbArS4
z_wy6jJ-0ynkeE%Z&PVrL(N}dyl`D6?YdMW27*gKdY2CsOG<%d2j;e#H0w1}iZ3au7
zo8=HGp#$!Ry%=dk4Z4$A=QK{tVLnO+Z7PxoATgg*EPGWAZuVaPFLPra3vtrZxSmW8
z^BKZ3!~AMc>KQ3%_;3*mn>;bH<0S)3DgL?1<)jKfSltvYk1S)+6^coR78#*vk-m;M
zlLD#3t3!>7tJqtGyc$<GX7Jth>MCRRc3;gHxL?b^j(KN&J^Esb1uX9!3fxIjfzktx
z;xy?^jGysrtym!&1lxsvc@w4#Au}wIJBf5)CRf8+nZf}>dvryVddP6&!m*@mM*`$c
zcwAsE<bpSOw)!*XWVmuEExq;uJ$SwUtlPZE1GaWtL(kuk!1SwW{c%P{IC`?qPTYtO
z$R+%p@){%v9IOwEiD80wAEw^e<?w@K_zyAtY9i3G-|JeESRmHqaP?VPLFkF`QRF#D
z1kL6XBTKWaa5_oZb?Ac-Y@9l5voxm!yrpSxS^u(wPliFu?o<(|>nfE?%vXYCamJJ4
z1THwsc-})gMhv2MKbNoYQGx~gfa_EHdEiv2Vewqv4!A8a5M61a1R8Bx6VxGIaDS{_
zEHNVq^4u1`b<~yM=7g2LhABT#{8*c9wPYapck}*(x=L`XMZaL8S^zF+xtQEckcE!$
zuB7{}N?_oZsE#=Z0pgiHTe!9pxN__=Egma@S+}3+0Ivu*%_%P=M9Kr#kklbgej;3%
zlm+`qQP_jp>AmF?K;*C@0V^cJ<zKt5J)05-QL&)+!M_yY(u@87HTsi4@?gP_OG1+H
z<oxGDZ4bBS@skJz{!3(_f5#;m<|YmHb29swu8?8&-kph_GG(Z)I2vR*C<BE|Zv53w
zDqx`OevL<u0=Gj=V#HK-g6(xGG15R4nw$M+A26vwUwv}%&ImbhpxvQr#i~J3+~T8M
zBI?jbtRHjjmxr?CrjluIbqFmidH<gs6;2L`BtN!P0ENd!Pi&}E7-q&j0;_3&3&&dD
zc&P}xUBi>td#JG2!#yVRfF_7kG#)b&Cc+^5gRj-cX^<?d=xfBK4G9YaPxF0A;PfN$
z<;H6oocy+2&^)dK`vg>+eTv9X6vXl*r-=r1Je@@k2K9hWPovDDNg3oVZxL6rX^@y&
z?$kAD091UhOLDCWysU1fUzMT3_Z&Hq4~s^?L;0Owe}w}671>YC9jRb==mk3p09dW_
zO*p<nfh*UGqq)u0Vej?P@jLFuAQ&F~_l>G5Fx_9soNH5sgL&*`wrVDDo;BcfwwNkp
zf95<`zn$Oq=AaqB9upwyM0c~jra*AzGo#-?gpdE`Ke~9C!hy#=b3P0dh<h(vrjoM@
z7>LYro9|4apz7x1C^i*fj&<0B&&z_w*`nt^=S<;EU|+v*Ga2q|CSEjalz?|9e7r{1
zP2n-)zhHG&5+F+Ibx|Q<xbpg&j76U*#1dTA-M06{aK%6S=a+aOjiJZJGv5?;|Gr0T
zVo`)F7LhwZWrEX|9}C=UO(Dc={<yE+F4)v5C43xQ!bYtezIl(CKq^DFp0}4A#5oF|
z@1N?$zOEhD)46N{B{wf=rKN7i_uv!g>3+kxD$KP%t{Ou}?&9q;x1{0rRN<R_on!cd
zQFa$G*cdz)wSBvGNkI7Isd((t0<IvCDs^=k;GgKrE{_3G*sqy;Heh2Fe{j%DgEbI9
zOO^P1_J<I})!g5|+_j0H*44OHIgdg1P`F3S8b7odJJbIvr9<cYD0V}17##TY-w1~b
zFMP~@ZvXu>0o`7b{qs!72$YkrZ4^&&Kxkj-dUGuS)so^L2ha?muxR4zdO8byu_t+P
zzbBvv{6u7N)BsYnWba)nV1VaVk3ILM6OcgF#nauf`anovHK&)QgA6C#1hNSM6+Ikf
zZG5K(##%)hyfZ79V`}+kZ6_Ui*|}~JOVESA&%-_Qtmm-{BrWF^A3F5)WQP4c3thO|
zr{<WRK8Ypu_*tJ?-olq9yPrqh)&cu)jWWWse^{RDQ#woX7S6O#X7h1W8$P<JAMv=_
zg?&5eD|t0&6X$7*;3Jr8Ly5Pta97<YEcoKb^j%{cxZj9z$k#kAkP*PB+(ogNa>JE1
zgP09mg!}r{UN$W_)N(_cbFv<9@PC2$Z8mV9toG0ue@zg7g|1oOYsDvjNhshJ8~D>@
zI+qXq8ZdN)c(?XPH-2<B(?9gm25#Bsq^9Da0pI^UI}x~Z0H3lv$Gy?Eforcj8?Aq#
zffTz?0)cY~Kcgbkk?yyNzpbxj=i5tzuf}IHPgjiM4q|j{(S}=i{lO!5Y(7z8Q(SkR
zqBDu_2y?8xv6BwXISLNsT2nzX<(#M9muY;dq)Xs%9UXF(H4I&9QwPT<euUhBS-e-s
zE0aBffL=Dp1(_dL2Zqes=e|qL;{-jGr4l!KRQTYrSInFmTwc%<7;9R<<GU74UUy+Y
z;iNCO-d<M&iI+pURgp`0*}<b6!Xb=^|KPKTVQDoucsoAo$G#OjVJdJ;7BQj0jl3bf
zKvj@>M!)+GaSiW`+__Pu#Da8BWZe8+K>_{z9v0_qpY~{MNtsr%A`hic^fQF*IeRFz
z&r^R37ZEh3dS7HmTl2R_4R$KP-scq0P_tbJGMClJE}STi_+_NNL>Y=3BBR@92<Tx%
zGW%cvH;Q=5)$1dm4B;3)v}DA9=2<_kJ@DW~J|p6tjuB+2oHCEy^Mnx{e#6l&k<W*s
z^VT`-)=7{!&ym`o!i@T>UU;*y3ZVXd4pfT>6726cvCjU<f-<oC=7n*B$SS(*uH&{(
z-&oN_vp-}*S#@sN&T7JF&VS0Gr<@2A?jMJ)-R3}Y%b)Hftcjq&;|oUuP7;Bu{x?@j
zITupc85f^FDTWGQZyUQZ5$<bb<<8RcqG!B=K+h?G7VyZ+Jq$z$hGuCQGd?sjaLK&k
zkQDmd;O3b*s{~@-`oETKJDGI9iQ(@F8H5cA#vWKx0<B}!EeYa+$bqCaTJTmD-TWMI
zCR=v9U!L&$b>@{2VmW3}bXh?T(M@jo-8w}Cueut^IbRVZF1kCPt56;t)5M<sZ6`us
z%u{iH3o)eK@*w-1nF8Y56DL!Do&-~CDgSlv-hu2Ajs?A*Q$$bqMfJ}ZkikV|UM%&b
z<hFk*Q)|kIXmrn|ulKR-{Oc9ik&2}epUPc)EP{+`yi|+L!&Ts)N;i8Bn=D$c?Ecz%
zSOrzp<-7SXse<$^_jg=YJCQ>*)6<!4hgQ2+zQ60E25Mg{)2g%OP#nKhaY>*Wav5bl
zbuCyORNk7zrY^`M%Yny(ZPw~2vS4A;tZaLq6!IcEA5uW{<Fki1c&KRK(0;v4Q4L72
za>y@wt%xYaRqq5}QPHfWEjc`269lIQZ+zh)qVj20rF|3{YGgbq+<sIWUI;wXdGAC*
zldI(q(l67{ht|W>zf^Uh=uf9YNHQ6nY5y!55KTjY&7+SyCG>%ND|M4QPZ<eaxo<sd
zLqqRY6H{rzhA<#rcF7<?1%15bhvj{zB3@(LT^U>$ygMZ|%Z*Xcl{~KeYSwKRkDHx2
z5d?5dru=i-D+*f4Fj9WMq=tf&SZjTc8iR##wq9;O1qE){ocgm*75RqByI0AYKuBf!
z;n)TW$}hGmyJx73`g^IzY#U7=Nh@zhj{CMlNe3PJ`jrspzm*XdOH*iiHSqJ&a~1Uc
z$uIL6mtE)y<EfJjxu$TU#ii<Ng)$<lVTq&PWfAq2SJOzdDXblq&(Mk@qZA!W*M(XM
z<bUt=(bw&!u+QPy%i}vpsImCA<7qQt<T)-GwY%CBuGFnJorzUK|9n0?X>{R5R{Eun
z8zW5N>&!HD<Cg*wZFqG%YacVR3gCRhu5JqEmd32{qPx(@XSQzpyjA>z&7;Pl&nD10
zm&W(rMh<;iwpbN49>Pxr6~FoJwC&T%es8H*Sp)`#n#B_jv14-Xj?w+b@OG=DX~!LD
z6qNSFhUeN}?BJ4$;Gm~5RJ|y%9t8<xcI125v-}y1?ir@L@(<weZv|N!0WowlEt_|1
z#}Zcf(3)k*8z8?q;RTO~FjD5E_;}2&VijMU=bAe(xUp6led2%s%8mP{%6@qRi`SR)
zO&m6YKUhxGiFdqc`F*ZV-_#~1Z5;OAgw6=0JxcOWD<?{1ix}9QwS`T6vwP$xV+g}h
z(~Qx#SW*Am%S&~ITiEr@7#%rF1Mne!d)iyWh_qR1*WC7RVZRv?{wN3Q18Z4Ri`YH_
zqR%Y*WS_r@4S2SWQeNqS#I^K@5ubH@A)h=s-LioZQUi$<bGlI95gwp9wurC!Pt4vJ
zUB@I<rkf7v>q2}^=aY7pS=@i1t>O6A8YcWc28)c<f#1O%O3NN&c;z?Us@u|Q*v2kH
z_r7jzh!$vWP=7gqf4VPnqUq2omb2m@#iFAPJfDv{H=<woj*zzz6Hiw#UDV>AouLI=
zf4&g(Et>G0<41>(><T8a)oXQNT@%K?i)C@Q<>OzMze^u`w~VROg|zp1X@YZqNbDY!
zD(stBUR_cAGIsY%eymWd26Va(XD`iv#ngwt|GgivjD>bm`73v8fOq$zcZ5?rmJ@$x
zIrGUfChdRCKDUMjp+-eHHEBJVs7zaE&e}5O9T<A;sSXXM2b-@JJnY8~X6c5-hpk|G
z$_|HLzM(>VkyT1X!$0i4$K_h8#wr%m91@?aM}-7z>X2i@Fg9VP>2O1Q4eKj9>2~a$
zIuv0Xb_FG4Sb4@i`8Tw6Ot<2pYwtdFkmh8v{TMrmS=&h2YG2#HPW+BH<Lgv|$cqiP
z>0eG`q3;|Sdl|Q|a6J{)vD0c0xYz&Wn%pcl)FH-k#hnf+H4bx~BB+7Il6h!H&KyS5
zdtoKvOn{Ufev87Is$ktsY&=g|!0ziywJikD!*WH0|8qYItdq~&4QpJ)Mpq|TXSUsH
z6sE2I^0^97k_;=Kg)U<QVb&ui{7jH#rL@O%SsAW(hn>wmxQa#7KcqjG!3_2K4)(V#
zltG)LZ&70RI@a8x`rF2w6|Rhj(9b*|gW)%>;T88y?BZUo0Ul{~_^YzaT|yv3evsp-
z2X=JOV##q!Q;8F%e-})^X%gu6xQ~l%dwV5tH95zV8&Lc+NxdE-*pm|kivQ8W9%=S8
z6JK87bFtrR<wOLMS{jr2QAUWlV);q8o)1FYjvuleP=bI9oe!6%nBdXeie#RF0DN@v
zIO%X%2`*`zzrj_=0y|W0=?HWP!f8ECQkJL^7`5;vuEeuJ8l+Xx?g)d3SHAj#Mn#A-
z%hB?<!vWMl7VCErqL9pKU#}Ib2<t~xuZp#CL0WX(l}j1oke>*>k<N<HH$@BPkmChG
z{<YSrUlKq(_wzizxgrR^c2_D7;Di3$BPY_Wq#<^1?&;p``)B#1-D1Q1fD68V_;OhW
z7=4dY&v+<;k+v#DKS&Vb_wM}s$8#rCjB1^2xUUF{oI~dsm4%^%>7q3Em>hV~jsM8p
zQiRpZ%3Uh-q9B+qCf6Rf3!2P#<g3IffsN7hvgC#sc$hzKSvFCGP&K=ai)KXVu&p$B
zCn*7<scsXzd_?f$-Wj&A?S1W?9m<D2rQitZ1MB`762#D3O1|(Q!z*)RIq{P+pd?3$
z;_FccovW94W?GfugDa6({ahA4wG<fMZKeRr?=-{NR0?=|7D~CW$bpcL)96nZHMo%b
zoaOaFH4wg>z1P849+Zk@pWof94lxs}K9kYvP}%E$xVLi`d`sD{sH{K*j7!h8Z-@%n
z!Zp$(`xW6$OA|eL`#ezprVPKV0fPpoYUgW}U?7)$Sv-;kgaLlK`!p@M*TS~NuRwzK
z?$Vx?$!(u{Yn|#7)`7-s>AblhGN`3E<QqzBKv;L+<OeZ5u$9fKk}KV=>wU$3&g>eX
z;bp&DUflpLBv<)fsZoJHmsQJx3TTjOb|Ed=+6W>;YaZ0xra(#8P?`4v6+E<RZhEKz
zV1F6$W9q8F&Nph2I-?GZZt8}&NX9VWOli3or3yS%HKe?UYH%m5y(f^<1ni9%5--K7
zf~a+43$G#t7KfgH&irBmOI)1RY=){ZlXczZ=o1qBB91WZ_BMsCA%AC|9127UQaMz|
z6hQNB^A4+@rVv~`vJq6K0tFq18(78Vz-hxKWUsIpJm1VqJ|C$JNq4UgzkMYI*W<#5
z3&>{R!4x)u36nwUSJ9wLh6qTyz3`)mnL!d$UPVbD5q9!_Ie&nk4-)T6I~@LN3REiv
z^$Twl0l5#!^50~JsVJkM<TO+G*kPGv_GcH2XJq91Nv>cIqj@&3s+fZ44S!FCbvda1
zy>#27tQWI;-(BloVFIUOoGIT$cY@a1XO&f*pSY-xe|?p%39xvRXWfltz&ST(?25!R
zo+wEu5H2?c+MDYO&chOr=~;V^>bZ>nS~=>mq-G3BHSqgkm>3ju?^E`_wuzTc7G9h!
z0=WGAr_lDpA#f~B^yo<fvRtq{^O+2=?0n|d<bDBYWT{kr-Aa#4mK&MOTrilC^!pW=
zzzY;s@sN|n4CvH}%~5GzBT)0q;Z5Y?gu1IW4XQ$n$Yj36r8vqEoU27=94@oKbkBwA
zav~#I!k*rm$~S;>9Bfl#2N{4YJ=xjBz=$0GCE8@Q=!5Sd+iNY#7WSivF}Uds1FDdn
z5!7JOhlWR2mc+uAu}+(m#$65!2<)cZC}w&<`T4i`bj&Q~&ghpmK1Po|%=$Gi+|UIf
zb8YV*Cq}Uw6`33^k@P5Bn126ys}8JM5dA$zd$G67lMHV1^vLRXcW14l4%96+a=jh@
zhRt&{r7yM;&?7xB&&F_VK-V3X91q{a{N+UUJh?+aCcK&1FaK!4l;_OmH>U>N%shzi
z<0S&Rl{lWi%S;OzS9CcF+S>6I>MzG{+kUU|z=`d}n!qE{(y`-AAD%fxQjH5CAe?E9
zF;+qo0();I@?09klf9;nS{D&et57K?YqAEgrc<)n#m8_z9;-y96#}a4YHKI4YQUP)
zeHYR5Q@H&%wH>RT^e9u@75^4R1HsAmub)25;0{v-r_-nD5z7aPNFNgo=I#3wiqIVX
z>K~EVdY1wDT6jL*8&3so!TH!TB@1|dzoPV0A4WvlbJ3AOhzhFrwT{2eSi&ivp2kv~
zn9vT=WqsC1>JZD>sZ$uaf*W-B2fsMWjBZ?wed4024(}ct`?3YC;SA~-ZEv5lpn?Zo
zFL*wy!GCH`Z4E;=@LT>KHo_ciC`?Aao$9RyHP5GxUbwS`i?VBGwWqVAyCydW|1zt=
z^egVjL&J2)KIK1lS1V3L2)X8V*FhCDi;7`HkRF*z^rtweb0hk*lv(qq6zJUfyW_+m
z1~lPzZmV047qR(q#qMRMz=k`?=zS3*dVcEqT^~z6^g1N$=YBsGU~LqPVwPe?)uVY=
zMdSImotRD(?N<i>g6IQ=MJy;bXq?nMDu75$&vfp3D1+c~cz^OyHuOG7IxE>n2r&@K
zUu{g2A*fQz6;tLwgzPJ?&vA;NIDvhiGH;ThF%8Y%ljlMfM(L5UEuv^-^FtE5AsNm-
zjByd(!-JlfZ4QjqiX+Lz0-D|?3HHzg0+X9~kpXm7M*WaLV-HjZJX%Q*{Odg?$;prY
z2LJ&7{}h*ZIM(kM$F1zW_nwdSJdeHl93v$qqmohyMU+w*Wfnq2BB>;#p+ZVKJ}05<
zQDl_ji^`_VjGy1X=Q@9!>%Q)DUhmg;f0W`Bl*4h378cn`3Is1m1r8q)LivK5e+SFu
z@!d+qrlWNfFmjMSn)^){zgA|1SFtPNo?cq{`$-C9J@Xs>5Gac8W|$bR9ah4YzPcCO
zCYoS)wxa);vN+<qTV>7Pl~G_!qrLc^CRD_m=LF74;F<XHK`B2~{E%i#CRl2Lawu&q
zeOL;W^|x=ZW>rUFKKq;jE^WA0luyd8$Y3*FWTNk}25L-8JMQDw0qL7xx7-z%$E9>$
zc8!CYcqhrA;>9LiU>M%JtZAu$n-pw5-H_Hs4l8*fdoL<PWQ_F5gec;({99$MO*(k3
z-RDNy1{#E_A4@TMse}$io+oY_Q&C`LW!`ox9n$KR?m055pnvJUyn=sJ40_5pTNb7V
z+&g4py@M)_j>~d!6w;7|*F$-}MIV0ozes$0O%0d37i&|E>8N$Y?`o#KAxQTo{5kYZ
z9XVVw{~pVuBa5WAkk~IHFdJU2uNI)-T>a9=uibP^F-PzFxh4>v?Y}8hM-$!VlZ0P>
zrQ^dC{}W?J%)qs~7@{d!C}fuN+&7nwW(CDfELIjU`C;>p(j_f?d~}wZRG_1A#lr9J
zf&`?^=NA&$+UWGIAgFpj4S)D?Z#?4*aLidW%8OA4|EQO<Zr@AA$ePp9d4`ryEvZj1
zsOq3|QKQIND;*rPW^$_^wFK7+mp)@w9V`&=NmM+di9ErmI2>yQ4X@`JdUCa~!hWm4
z0cUkocgwk)vS<ZYnR3sh%xPgqt4u(MkP1Gr@}9M`w+7POKOA|r(Br9^npu+qx^ELZ
z(;RFKbqVW|wv175Hr33we!UC|_l9t`Mp^^?QsckL8yXnxsps{4y%?$&X?@B+WDR0j
z5sSB#)iKk9O)2!908S3Q{P3D?4Kpu=@kg2}{`iu^wv*(*OWJuyRDM~(^^4U6)3`Do
za?smx%$^Y?-aoQnO|}BXcFnTaR!TUpXWde<<1hIxEV7lZWCilvK8BC86flj2;mt9t
zK5~Vn!FHn562c2=6QjoEkm|6fl!@ma5#{|^z23|cZ0l{sYd%V&{z?B|JHLG=)~h|$
zxb_|(!^kVcyH)}pS$saep?a9O*kAtdv^_wZMy2}9tSF8)a|(D^O%Z>$`kM_F5^!lL
zRj+b~F!tSS{(H9P53x~HD~PXhJyi31f#fd%9GdiaZFh8r7+6o?e)_`#GEywwY}?C+
zdXoZ$1G=+B>+<laGprU+1zog@PFy(OP{TOpGE3Zyh)cYqXAV|=pS$x4+0dY`gp6gH
zC8oJ1+_Zen;M{0jRjmgL`o|V3wd|cCHpKC_blo<EH>k{P5y*&YVo}QlXa5rZW?OXj
z51D`-7aOxe;WBCWIx){N_7Ac2$fNXtt_f7^;+1A+Um*2-!#;R~OcM-CE4N}Ije-3U
z)i7%6FS)y=U*F4jium2|bn@^gBd`eF)XuzXiafMsfAEz9lLVg#QzWTv1j$cY&vNY@
zCC}fF=VWdlC%l^FFB)Dngmni5_vy3_kuNlla`6a^5qfGz%oC>!pzg}LRPmWU()v-&
zzU;^mBKMVx?djbH5Cy4028VjcA?@PR9*V=nqN?t}<`4S7WG>GcHvWm6+)`}Awfc*&
zXE~F!+e9B0YhCr%mDiC)F53sXMSc+*xy}nr6zf6ML5|o<+bc-9Ypr)UeSQ*(g|VXt
z)%75uLUoJQ?c1cb>V-m`=^?_S^7+DzJ9LOF^=@sO$t9XdqnwE6Lxh6S70*CbIy}B_
z@4-0zlK4Kzb&>1o5b<X>t5od+8aR~o>G{vRC)gu~56lk@5f5G^h9=Ny;CgXL{c~3x
zAzE!6pW*bAD0)Kqky%cK6PagQo)@$bn@S~eBBp;5C+-y_e6y!QMZ&g<mC{edxWKHy
zv)W(8RQT@fl-IhzK9NM#zTH7w-q*_d<jZfuv3Zl`+5dFlT6REiU|biGt>!myOlE|b
zSpWD;fS?X+zcJ%D=lzwCsx?bJlRZjUdkW|qY}AIJrVs<^t>20BS3c4gc8(Kg+RIm-
zpVfkfhD~oBmHUWpUQg|>YLi6Gvgp0ecbXvdVo&4P<9^~#r1+A=hAAR*$2IqJY?`nw
z^ToMiP6Nc#`IX;}anpp2w*`ByGX+$}qwU){hlr(w+ecQ0*Zx1zQm$}Y1DKq@)71Na
z5=y_W*RY?SAq0B(w=B)81NTw4<dm<!iPN>4ma6G<#39Z5lN#IAA(Z!^;r`VTBJzvI
z4QA;DqDU*&@L`!6c+4fl={t@S%TnLG`Aq&1)vs$<6C~B3@N{2hl;0#_>OC`vDa(Wm
zzt3z-oGRqY*5z^6O%YO>J&TqC44~)v^K0&`3fQ!cz0=zKhoEbSvC$(KVaQ+Yz3fpH
zh;uj>oj(4T*!)34JDHamHnoSENB>raDD!&-wr^&M{s;bY?6oYA`S}&WeMA`)pDxDU
zFPkTLduy2RF)OIn`CONsQGz{pOH$5#UnD{v*jzHKV+V;|H)*XnC7^9i9_F)LCQQe=
zZ@Wu!!LB=ExgVsJz<}w1F#GpaBEGet_{v=#uzz?+;{IDj&}sKh{k)$MR^L2S+iS`X
zDDKx)a!?T*f23yr_{#)`>O5JKs|CQTi`imEToDdkeIKyr2@81Ye)KgA6@tMtS}P4-
z6hOJ@?xBs@tiWJ;S8aTU2sr9kd3M}ZfFY;FopaCG;SJ~f;Q&uDh!Zai<A_oKsfmdl
zJZxNWa&Nt6a-Ia-*{)Xj!CwJ*6ZR|zrSZUE>-IWXF=<G;Y~?+EL;>EU(sq_;^Fy1y
z$;h`FS@^L2oYiQY0@TI|g$O<qfLQC0XX4%R5b#&9^2=)la5k5B$~hne?335?=Z-5v
zb6+!aJij6ox<vnBF%$t)y5k;34Q04$mEM0hSrHPI^po55#UNnN^KKZEDj0a#bu<|$
zfssn7jjM+Q+~2KFlrE{k=u_)Q7lo98b>GeNuCJxw&_Zu&x(EgMwdXe+)=>esTQVZQ
ztz{u!=A`r{J1uD5C23uostTg_e>EmV%7Z&uS&*Nm1COp={QAyP9qxy$a?__3Aizf{
z?BfY4cx|%ED|Mg%!}e@xn=mD?I@r-*nN5RjtKXONQ42^Px0+5-6==E2Q~2jC9V{7A
zKYHfsLf0#QrFc{Y_qn4ReCqVT*3t8^{23bD2rem<IiU_}vQE>BFZ7{JF3g?SuLlRW
z?&>(KM1jooiG5lj29R^a@8atS1JG?=NR+PAgxds_!*<>Piqk$n>uNRv+Bf#S-`up}
zvh>z3F`9-DXsdlk+ujt$oo?N|Riy*QOh4B>W-^5I?K}sif0)BiIYe#zrwf%*FUBNJ
z8o+)ww`}e+1k_0XVRZ_j!XF0~vD^@S*k+ju`V5wk^35&6=_3_<Hi^CS6x0KcBpRo!
zmKC^PU}WeYrh<`dbmE<@G+^}((lpbzhO6})uhe^}koZS6c{x}IRCBE(e{tJD@Y9Nu
zPp?uTYVoy=-!BbN(^`(&Rcr$WWA3d_6{s+spC`_%rUFUNE3Ui{-T(~k-`Kt^=s@&?
z1-mvsdC=~*63c`Q;7dIiaCM(HoON~F{i<FJ273p(LJT*+eG{yF7Oe?w>>hc=tGuwO
zDaNLA*#=zh$Zc6Vt^p}NUH!$|7(n3MRg+)0Y@qcBe_0}^LBa_1gf4s|j$Sp0-==B<
z*U31uo2$wY`7G<?RL(G2xC5#+u3JN|ao5ALwY_{M-%*^iv`nJo$d=vA)^LLLQW0~k
zJcMn}@JJ6@ho|!Q`WpLM0ndMV4xts&P;~Qge}g?I=0C`^k7=}o*}`5=t%u^!sZm<B
z`kn{*Q<65GU(0W+(N90Ib_#>Q1?Pn+K7PEgF+5`D9RR;wSxU2;1>k^S_HXVce$2h7
zaYS4SKqy%EGw^W3;AK;OQ6m8yO;vawLnXkr>invVC@a)=%SDYJ5J0Dmr_&2e)<cJZ
zOX#&n4A67Py`x~QzEX4l+=`<GtT=Sv!1OtyHX!v=)dm4P*0C%6VURiG^HKxPWQ-B{
zy*|6DBn2>{I{bP5T{B?xQh3~**F(fI@U1&N%#RxmoJ{!AZwk>go#4gv7&2u*PVmB8
ze!TBiaCnP`DQHT?bGHq5ku$!Y|Gs4Mqe_KQxXfu2uu0g_VD9*fBp%+}_9cQJ^%8IG
zjcYZA_PuSgFKnhrjG3hMp5n*kbJ-5Pw6z?<!)?+xFhd@elCnD($&ZA189ncs5eOxm
z3H&CtNM5A~d0S-jqsZcPpclIl@NLW2DEYTc>Tjsp@TQp`@9F0Se2y>#7w>uV#5x9C
z`ryIPBO!n((SED17YyLzEd3T4#)KA)!m93J0;nqTocbrs02+&OORkHv;IwS=uP=WE
zkmudV@gpn-pc!rP;NHD;7*}>du<g7cQm57%si&{)&50B1M|Ie6Ywy|X)ifczdr(5%
zL|q?_?+7cNe#(y5_xE~f&kCWl!S5%P@AcrOO`CLw87CIGf6GbyER0M9i^9S|Jz)0<
zKjcu)g(99egghHXaCkzJOOa0xn0OkQ-yGt>djS@)8~Q}?`hvB_6_O5uf1Sd#1o`mm
z79qVFesOGlt$VyYgbv#t<gPsP<wpm8?eLTC63ET|pTDFr9rjTFc`$4jz{YFFJ6ozG
zQSa1$RhEo&D9k$Od2NdzI+v^uvfV6=T7KbQete=qVq=Way6r+({?M&VWK0IjqUjbD
zk7=;0dv)Jk|23~nXLl!x<j|T)M)pk>4R&5_eDW$o1TAcR{S2$+v3%K9@N+T^Sh9Nc
z99u*&QP;BM*E<E2nULG8kV1o7?YlPH%88>|?KVs121Qiq^v!L*NdwJKrH01mB(Sme
z-1WeICG6XJQr^6r23C8&oIbfAiT1g&D|eYy@Pf|v6Hmuz&|!UtZ!mUk?$NVJaoVaF
zpAviiE|m^GGjm}q%Ca~)f7QfhuNuA+sr_&^o(_^1RtMg+%i-t|HPaob>L~N}w@|?!
zI!wvZ2UQ#7F+`+q)q&K&UGYx!n}hYh?X*jAc9{ZZ7ra>R{z<`88Jkas^6LY`>iYAk
z`HFa){3lz?q=oD3HRjtZ^}$6yzVTDK65itXuS;duM$eBg(^D=QK)~&u-7n*m(d%7Q
z&8aDEtgDhuQ$KD9lNw=xj6o`BS#;UrX_*f4I39cGe%J_pY-G7GyjK+`q}m0x+v(zw
z2Fl^dU}FgBKdnPESHnFrSvz9x>Y{q`o2aZSCeV=T`iH`$j@}YF{W4X$c>ncO@NYDQ
zN6PxMKdaSIV~nq1`wd;p@_)19{>Ka+sqWDB^wB`iopXL}YPx84$2lrc)dG%o%o8t%
zHSirv=)%fD9n9&m;P~mh9ysI;-W<25;Dy7&EM~j3vD&0@R6LLXLtB{?jH94|sMp=2
zYwuvLyQ1~N9N_p*D_T<~1)~IuWcDASV5x{lng0`jB)wI&;cyCu2*qFjovV%|FYGxA
zL@j~F=e+RDh=N(g=LB7fRI$Y8#&v!lOW4jx_1FKXfw3*#UcR}?D7`1{nR&h?L?5e*
zLaGJ^ru=3LPE^DK&H$yH50>C;v^+I(N*yge)bT-xJXW4*%TM`Y2?1<Zc<k1E|CgD@
zF1>MS%t>wvrhT#m{z*?o)!VALNw8PlPhA3=p2cc!erpLTCPQ3SS!+JLasQ?h#Ul9C
z&(e+SiY2_5tyzCIQW-hBUsjtX3*t_UmmJt{32%*{v~Z6SvUk@oN~iImQO<jFXE{q)
zz7(WNF;K+a5agm)&x!9z?)taw0M_4|c1`dppkwSC%Y^r=cwdrxW>*}*m_fI0>JK?Q
zpL1o8NFX!b5bSf5paRrp*mvK1DucMtuu@gSfN}vnky}a#xUre?l;f5Z#$8wu<MLZ3
z=XnD;-Yl*MroDVoa8Cm1j@!?e>|7*med`B`Y}NzI(5v1X&0=_OGL7{hb)GD8eeT?u
zVgWgawO1S^MRB8oP8X$fmORzrcRQxr91QJMyK@tS(N6Juf3)r_*(lefp092W1<@?i
ztCB)U-rbPvCN)cLwn-K0J8cHGCZ+rqtpZp-_VMIw%q(f4<GAf*lPQFAY`=2n0Y7Gb
z6w6!QK1XgQL+3)&Okr2$(YP&J`0%mDpXGxQ^Q3TBuA57&2~21x=(fc2U=uB$W#hyG
zxzA?#$>Bj`P;`1O(e{rE!#|bhXWjZok{S|!8#WsQXUEDTg<?*ePT<lViCZSqdUy7n
zFEfIWpvsPzEDr4FjE<JcUL~h9#|E<%ji5HT*R$ybI|}CbW^qn1V9c#^KLxKCg4FYe
ze#`9a*k*UNp<I~>74N;+JH}-Q)_2uPtP|PLulaB!1~6l?T<{=0-T>}v6%~pavSA*z
z)Y_$y1v|?d!^c<+Acm`s&xnT&U7RJaZM0-X)rWU4XeQ|c%ZR|q=iF?l+_o=gq@E3v
zW3Dzb2<wBS*00n>IvWns1e@jqIFQCLU>l#O2fH`Kf2fFLL)npXyErW_>=Edu{m|0`
zCCzDy@B|w^)v<*+Rvwg#q6-_;)8V7qi9;SS?3gg>J-EQYhdr0hPQCP@1C#gkhdpK-
zSUD9``YMGV&nER07IM&GQ{0a@UNKJWvwxOSULt@soZBuqmC|77?4oO<C>MG%^Vg{j
z3gS7@lfoSPX)t=$a=(EYH|~owioZh@#>*m47)*p{z_$D42DLaI42ahh8%Y<z43+QU
z?oCw4R8c?tZiW}@jgw0r@{6IpYxW)HG%9T4Dm$dLksrg@(&kg{i=$&yk$%S>D)4NP
zv@lj*<MDyYDy6-W*z#%GHB*-gj}IyPe32Ezk;*omW?gAKKY}-uc&H#eTp;;NbB$BB
zOV%$GWHGt#&c%Pjx<EPRy~*BD7*F|ks(qG_M`Puf;gnChpitXt-JL9g(|lvY3-q<S
zPUN~=>d*xz{-|NMeo=JI7|>95SH$0~UVYuOx<J*t+vMjYj@wiUVlhJrFC^(F*GW+!
z+%9}Ds9OSu25y!<?@>m^m7YZr2P*8R@3g)WA%$-Q>|{6Tsv_%cvjwFLDwwh|CWV^H
zpjO^n{?TMLTpr!}_v-`|LO+I$*zn8YM*NYfF{O@w2P$9dc+p^aKL7a3NO^R)HJ23V
zN<p%JSbc7S2FKs0nm0u$pxeX+>!nwknEvgU%+ITIxUQ&M`*iIN#u~^@ln7|!IkCpi
z?(TX(X${$`d|e5%+YCZQcj{p9+v6t;*6YJhy&W(0ik0zZ_k9-s2wi-BTrxY;!T_vu
zzLr9z3Z~s^ko8_q#cxDW$rCq2c<kP>dAwB>ixRzgpn!_JH>xd?FB!qzX60e^PBmny
zF>QAmrsA<u#Xhpv7}}EZ#Y~&kQGL$EpqG<|jvh|!dkIrGTlU3h{ILeMs4K^GGSKj@
zVzEl^Lo?{S9XQz-Ou=AAj?11OsmNdEEo3Tf0Uc#UMShZ+7~1*w+?M@R<i6>YL62V#
z`&PNh*H<(#>A~mcEJ?aZ%E+qJ^b^n@xvC!dpC+2!^80#sQ5#uYR#tp21MEMYYM;NV
ziS7A+Cz!>wkg?Yve<)aj{L;75te=`#99YsVKfX5CWfR|$8<ueO`C#Og>zY_-v*EvM
zX=-bHkE||TvV?y7;BAj2G!Y}`Zf+A%!QVD!@XyK$7!=&=YkVlUJHGu$=S4-tk<Y1P
zN3CE-;9_o2q6UgaZJe9nl}9!=oigo6D+ufH<;;&&$GklcGmW-O;Z1Q?vC~0T(7!H)
zo8qB{v2ye*_a0Gfq``>SPAk}%V}0eMk}C3NFph?N6vVt2A&K0|R^Z$4WHVETGKSIj
z7O*(;V%7nx{mp%rU@|{gA`zv8@t$A*yTZzj(~TEyu%uhUgp@nu2^B?DidKzXEoMUM
zK5vaiQ%ex-G%sap{(o)@+&vt#M8+H#|329R;G_~$RmCWW9!c|`gZ9mk5y~>X4WR&B
zMPDUOMM`5q%MqIw2@_<Av?y(x5I{=tfM2SlBz`_e*p>19Bu9Ir&F9?+_)lbcb62+*
z8lLu-F#r35q=+(4OkZ3N^P&$foUatYn*w5dyf3=QN=1PllPU|aC<^yK@kt1oPrezF
z=>JSwnWX8=E}Mfz-uU7UUO~)%njj+4+D3j=>vtJ3Gl#3^IPR>R;K!hfvSHqpHquAy
z3EQPeGmv_<xrB+47f+wpzd1kinKbT*-l<fxmWv**n6~<HVa4p{JI1>@$to+4W95RT
z!0)=V<&_)<=C@5Z?`i)^&Rk&0bN4oZ%d^rCFG{gt#_L}zDB4H<_u7<m;<Yi%v~}5h
zaa)IC=Cxn8i4BnPUR77!M2&&LS?d&g2QwPU-?rW7_LID(Q8f@Ayyhu8TZeO!n2^l1
zqbfBIlc}oS=Zt#{L9eXO8G;${QC^Rw^|5iXL1<azsEr}~Qc>F4oW_8c2CeM)C8x;e
z*<AOQOAWx`i}t#ivQ_d;S<seTo<HQ{W>L=;B?H)1-1Gk8wH30wdr-$)aE9D_`Z!DT
zHGQ~Uuz^*pewnm#`Zjf5V~%7me<%7=NFPWAMllzgWzz5EtxVY+3uIMXv;gO2JxG81
z?%F1XWwP_}w<xx(f21h8YoxZY9wa_bJtOpQi457CS^8mSnOt2&CHw1ixbZMOEtIxQ
za%yRXn42)5LzjWg0cAR5cLX%e<Svs{Z6kZ!6B$us{hPTHPiSz#_0{FK8&}AaS=D(>
zV@w!*e8-&x8yawl370=qUL^}^a|zeOEVw_<Fz<0U75ske>@SdFz!#poRHjze;iI9H
zzpJOHAjJGE{X5BkiQPZr8%x>nTfhDGbRjD2nh`4Wjbg-G35ruLaU7^vdhMG0QC;ZT
zwa7lPn+b(Wjq(*ExbUjwf6iOq>VVD7>`H$ZW^|d=Z{oelgCmsJgtCYZywaXGkoRN3
zl`T6Ilz;PK0mrsf<4|p|rRh6l<gP>Cyg#9>bOHS5*4=C|qy;hA@AEU}S#fLidd<ir
zL3}jUzKO>}3tr#Wv!<S6M;E4|tU(50Y+(MT`e;ZKYJJ<kJrm)?B#p3G?<*qM$NC__
zIZP8|Wv+FVeCI-y(eJnR*^8l>wPEl{IZcpnjOp$D%!8%lj;H7<5(vGSWc6nXI6GLV
z(C7KkX(T35T}29S9V;r{dXoZCPImkDsS4nU)PLdbTV?RUQ-|F?VH9AN%{uVOPY}6!
z_nptVC5O%z&l9bI6sWX3Ud&xDgq|-&JMQo*;9goq;`0~^XfPDbrEL<yITxk_7roZ_
z=vF27vWx<;ogc#*21N0}vv;xqO-guEcTxHeyCw*p?btk-D~?N3o)@n;s9=+qXfsos
zCOrA7>-#-I62+vwYR~tp;>Q#Hx&O4apyp$G)4FhJOq?$wE92Gi@G0q(JsjHbYvpLX
z_6=E7_8t*WG^OBAt%!jUX&pFbU9G2bR35X|tw6?%Cg#1Fa7hi&g@C_l-8nZDuv+|)
zWP7PLejPJC{_iXmCj3;B?Y=0YP+Lfs!69ADxU<DZI*<munpGp&GRhdKUlI2rhKeE0
z1=D%w=|F}_)yny+pbKwj*NQa_r*AhXU0?I}`Fk%lH@{Iu=W`M+s-rYi+&5WXsb&DY
zYKsAZ?CR)z|E<sElXR>Yrn*X(8bVsY3(0DG4J<ghXT-FXj=b4NYNPiULocsOhgSpz
z?YGD}!V(>GW7&$g$(w?X(nI&u3{4dK?-hT^C>>26T$b24YX;8hx0F~C*0^<8FWM`c
zj$c2kD(1FYK=pq;(m@W|D9~Bv`-hE=ot;f8=L!fYv~hi=@?9I1Bg(IY=+f{c!_>&{
z5&+wMJ0~*eI%v({3Y=n8EKlt));(hh-Yt3UD%Lt^S}VM{@S-+u`>*ROKg9~Z{xN)8
z#Ix3)oyV?wg@S)I1>Uy3vV!gp?+RMew6SZCp^4uCHI)3P*mPdS8eGOLcPX}M;diE=
z-K2mr8bk&d?Dw~ZZ<8VpQ=c^Ps<++kt=00_B|hQ$I>{QOueufu<WSJ#$)|%sR4KHZ
zA2S$Eum(ksAI^KsHSl=F&95%jB4}~{U{K8=YxtWqFZ=Sj8k(M;)l#qHL%B1)XA~&b
z;K&?W@km@12VeU|Qg*OnK4WKuX{Qz3$z-t0I--on2NUCyPb`r)cE75#47P&s0y|)P
ztB9<}tITQ5V`PvM=jcCnD`5UoG`f4u%TDnxpWQ)eCeM2wZHUjX1aQB>uiGPwE%d?6
ze1lI!7Va6ek+y_}$0p|YUrHhC0DIl+@DR}`BAVHj51_An!7h;$M}y#@FIU_riONHr
zhvg{%1JdR99?ghg`u$6aMfHCO4WU5~J|6;><qp;t?Gr-R=p!Evu+0(yRlnL>qSk}e
z($sCsC4SsnUG?Sj);Z#T00030{|uLhTaFDBhueGaA?^7#-nYG<(?CN;S$z#H4HZh!
zmL#MQDvE|ggJ=)*oG7KCDH$a)+oBzP{(*B{=Q`*5-S<x^sQycGt{HeUW*v~Z$&IGj
z;<YzkEfQ(UzB3KaO@X~YuuPzs9e+gZJCM}1NKi});!n(*0N38kWG^um?9VRSH0-)a
zeEieRSWhtliEjOGEngV0fx0Tgczc1+>e;?kF2ESB`1Nt}anhlLdx13V$vn}w<)(qx
zeIq!0cE6tl<0?56kw~}Y$#0@Pz#B!E3_-jgo|2ikK)xTdiO#J0MHs%|>iuYA2zJeU
z{6#5qWLjTx!`%mS#G?xXi{7~gkSnNT?<hG<Hgs(+eqZ~OIOwYR!)8?<JhUHGuKoT-
z#zdT15FD5#2wL@7D_4C;|2$8PPW?n$*lU)ku+I`MegX`<PxaueY}`|Y?04j&lJ@Mj
zs%gT*J$2V1bv+1qo#=U-=qDpWA6<KVWr~=u@K2{?>p}tb@$ourB^l=8K4z3p64Bp9
zL_~RXVViNQ!86}#lDXTH=>+d2A%_vkET?rK&$IZ&v%RszlSt$KmirTg&vHC5u&xa|
zU#>|jmDCXPmhU}GQznRA5!Vm8$7zF@9s5_yre-3ydc&W{k_m$2-Jh#TblUJz*de`a
ze-|N6byW~zn<OmsW#wr}G<fY=AMxjYACa<u?|S>~NupdYe!-fT2G8V%%DN5>5|^ZQ
zKDrk_Mff(yDVJtbA<j<ojt0|PVzBi_CGEyEao4+jU>k)B_22d7LgR*s_fcL_PD?Yy
zV8(Y&;}|WN-TeLW_G6<&=W1u)wvJh%QlZD3y+{*68&q?gG(Qov;Gyii$3F>m@@wbh
z8x8P&z1gRCYK&0R@{PFIJ4d+b`>3|_Yk<o)r$fw-z7T))n>i;qe-nX074ym4)xqMn
zo#I0FH=>1e)aQHfJfXIk%TMYG1^hmp;!Mr>K}dD#MyRYT5UF~vUxvL`gZ4A~?w38B
zAim<nd}HMjkze)EHkqOZy5?H9cg{``ht*o|8s)4IrV%zb+~QTiX0iQnyT&YWa`AY0
z(UUbI-zmvr;jId|qz_gejQL5ti|UiPBeG67-PUOEF;Ri*#(AGTzs(WtUt&k7ujydy
z7?*r=zB26ks8VVg`kOF!iwxMci2+`R2rHQKC<8}*VcBz;1)_KV9k%5mMzGaAV8eJ)
z38I4!=?gC|65?(?idE^%5G|uN;JKm*q}td(+VV1C(|EBW>I5r@hD*?@qZGlMBSU~$
zV~x0xC$r~H7CYSIjpqqtPy~_wX8Qb$zXbhh;g8D`oN%-uZ;#Gp1!#93d(NCg2kzFh
z=Wa*vz~~!GnR{vquw5ijx{99x8aZmN$`<fJyyJB1(@uF9{?Fjl!(v9LD_t-;tRVpV
zRhv96M#{snn_C}e1TaHr1e1U0h#>3>a(dvWEe~%Gc6HeAW`&t+lB*Z$g<<8*v(fP-
zIe0Q&oACDtJ0#D%S+aX73dbY@)Ofq)z$0vPf?^XVh(6Dxny-lixjo?styT`+#K@&b
z+VQ|(>iOm6gB#%P`0#>Kl^h%-e#Fh6<%2eDwxqB8(vVgwI<w=299SzjE^grw0P(k5
zceAg^fMjM-VEKw1bZk5Iv$<9f^jX3v%je`^M_c9#ItO|1F<dw~b4D2K@;+6aGExBU
zV3+x(7I}zlof4EgDGHG}p9JgJl%U=$Y}qkT0dy0XY61$y!7_^2Q@WrGTQ{&R%v&o$
z{#}o#-3yZ7u@Km?kzNgoEe=g}{-*?rQN@L|VH?5SxWYn6K^<y+JV>lohEz((UdkmI
z@S-hO?R3_J^1mBAZTG9fR=4ob=c}^t+UxV!q&*c%?&g|sdQw14Z$oxqv^)sET@|hf
zph0epypw6O1}Hr@*QIbN!riyhSANH8Lvog~la~z@o}WlnEi6_74;Sy;vN#>^+xX`b
z+gBRs_3gE2cTj=%(<auR_Ui)Onk8$`BOTx>VRbE?RfU9wIJ>WcdSD>*c;!y39$2=y
zg!r7LK&TF|@}%eimq^ESKcgYg$G)u8Vb=gJuO6ev^?I;x>C`V%Ut>5Z(6XiLfF{^^
z`E-A{s0XDLA2ZlSO=0=+i=4%aTF|QbN%;wr9wc2*D(rD1AjFW{xZacsw1(aHo(by0
zrE`V*?LPw?{&+GdHJJ(w2e|t9NNr#nAOF<MXbGAzHpU|Ns8DxG-Bq8D2JtNWHkr^{
zLD|b<qq>_^2%NV3Jffuu8P}cAqR$EhZn_E!xKqLX^01N98&#0WExWqsur*xl51jRX
zuLUASXR_3GD8fefv<;62tf5Zjvy4K4CL9jkTz{lZ20mmyxKhoq2{Jz=((RJe0M%Ki
z6H%YUpe1N?r_LX1xL_B1YQ>QP?(zIBU88(J`%Nm&v|9rQHB+hASrs-HufM$$&j|6K
z)Au-pSwm2>_R%#$87kCS*Vv~fiBU1tWpf5=*zxx8>V%LYs9!0b%Ap$~H+6|MZHu*n
zccQ+k319#HFRxeU#&Zi~U~baZwMk2Gt`@INK^bT;v}J01OplCdzI?uWEx|+N`4F$O
z6bRi8)$hz>!Rr$DGxVA);J_uJQ4?=*h<pDb;It+O?vv@BsMoN7%{2kpdBwueU9!L!
zS-^!c+VV4!xd3zrEknb#1z_dl*HVfR4?fG2)wm%7z|U>}E|H!GIAkm9m*jY{H1*k`
z9906u_cP}IRb_*)uJShRR9>up!kv3t#~f(C_^o!nV}PgU1&76N^5Vc;V)uld8E`Ya
z_TrIVBmU4o{<brO7cW=(S3Ejo3UeNhv<+i_5$u@-=>S(isK43&=D+OzK1<CpfmU6c
z?B1Af#J5?_iNa<c%shKB$aTmV&Yhf^jWp^foG9CAAAEVR-usT=-VMgEwMd~%IJSly
zRe2?CAk2f-!xw!W0*pXOcD%#t^E)!<pv&EkA#TiG&^ABaXb4<^bPl<{zL8Ul({6Ef
z-1u<uK=*!0LpU^NZGS&@mR#NUOXg@jHx5r4dO4pkfT#~$cdasilT1H6x+6buV`aI=
zbJlTvNLC5(VcoYxiW^#;I-tRWT^W6bVlMjdrJM7&anC9_z^L5fRLFzRpSfx|^yz_^
zI{nl%&pP=m<`dUf8(w_$V|ZuGc0G`YJH^k!PmixpMfB8i@!>>!-HVhyUC8(D+N6D+
z0e3occ5$Wf;mnq@)o>SGXm&H+{CSlTceF)YuFLUb_qFg!^Kl)p_xJO==+BG}trh{&
zef;>9X$05)<$-K@*E#b+7K~tRImwzOfIp>m7+#6%K#v*CKhKs83)e16c|;3hnq={-
z)dp?w&OU4>*vgLdAwT*)9uq>NxF_S)UfS^Ra>T<2j+}VFX6ERwRAF4Ho(pv5*9H!j
z@bsOtT&N%Yqxn23g5fjK5!+j7@Jl*pHn)HW4X?Od^5hXi$+;I}!l(cF#^(RH*bVtG
zVSV@8dr{&zRz9m?VNZi1fy7;r>ik$@%s-^ZEQzOlISb+>Xb|h7(D;BVfNk$*^zM{x
zz}G_O&u09hg0`=}to&v{JgRwOWBBonxE?5_cjz@0taOsDY9128y^W08-?U^fqv_X2
z_EsuXTSY{0mI&jKIa8qq9a$XS!8Vurj0)SR^gr5GL~t;8O|NUS9NMAuZsH{sjy_P)
z15YuuXEkMa_m{{2yt6MQe5XSDk)JFqBjUKFvo}vSQvsi7dJYW<(qM6S`Q+XZNes<A
zg=cydk#lwZ#M_-Ta7ha1XOWb`TM6faMue1c#6NmM<2DUs-EPS_zukz}mA`4sx~X7H
zhYC*=mo~)YhU{J0BZEvw;<%EERB>iKDb6WH8|c?V-QU^DBF~YnuzyAk&v12^$t&uB
zV(^6(JL`WI$!zvqN?je7<%+XdhIAn4lc5Dz%j4dc$IM`_2JR;+6p9LU;p}@lcj+w(
z$eO5kQp;Zxe_vTj7Pz1XY%#j8%4`+U_iiYo-)=2jzHs}@iA(yxDwwG&XrqJ|93(dF
z=b)mc5r39asR4`yKV%#*Q^t_i46Z2$DzZ4p%JIK5gw0*E?URZsI7Q7k>v4pNBGckB
ztCGgB=Vjlu$rTlJeD6MNA529FPmgIEe-kJwVenF{RmJI`OQ8l9R8)AyE+<iM3Q9s|
zU&nW;;mMLIap3_itQl)-JHcWO7R+{WBQMqPw9GKm%a@wiYxF{8XbS<G9=exU%1}_)
zvif*$xCUNo)R$B;2GEhM`><^j1&ddr1dsJl(5W+;tD*@&*NZth%7lVv)(REpf2iVQ
zq02&#z6G?NzROZWPr;9$9ow3Flu@QmN$pIA1sthScz5oa8rt}F*JP$E;;ZV$fZh=c
zsN>@f6J=0C_4ejPIXiiDId{dUiN_M29@Okyu~0=b3D1fCbs3EDzb+Z4WC_oL^RxN>
z-FtA`b)!wGQYbYulCP?42^JJZZ53x_oYVUK$Y!57#@dOkl?zxxQB9FSiK!Cmg=jzh
z9xjYwO-7mN6Be+kwPe<eM-gj3zWF}=n;%0~D<W@KS-|5+N_6;uJRW*|psD2%H!f&6
zD?C490ZP<bIFl}i60YotK7MR?)aFX{3poqOd6iEU+bfH2B)D!k{9weTm_{+HE&!(8
zaqXfTWzgyr)7v$DI%KeXd_FuBpsvw<%6V7{<wi6U84^}V_miRXwn6}%Y`izTu1R7+
zi*we;AM>Q+(;l9i{sd5ks^brbiesz$EoXtaIkGp;uOjlUIT-J3>d-$dihMT|roM^H
zlJ9zTp0a*31I6t<9Lj0JIOuFL)UsiUG>Prnc~`{@<g3o-Tzw;m0TvCy0|^tP*0_|n
zW3VY`cP&5sZX<vr`ONQ_WGBepD0{ZbY7=<FKl<wB2p`^zvD$5i6C^8VXR|(o3H+!Z
z`qZe)i`3a3mMq#7`5@)blZ{Tsu)(M2!uj7^7#5~xe#c>kydAjEm{Mc}8Fm%UPnS6`
zK5%wiePxzxJN|ZWDuWRS4;@c>3hc<D`{=b;(j3Y3qAfw%(-5vdY<l0&!iuf)(qqry
zH+ilk+0wY#0947I*6u_W^q^{YOv^2h4gcLL>7f|F)xNcBMp4Z8YM((+rt%V5`1n`l
zK&C#F&<@PG++zC2=`rSF`xP>~HlJq1rVpod2i#vTGvdR_nh#Z}Yh-O|hw85wJy^xR
zJQ=Z!n0$j}v~ub%>9ozPb!A=`TFJ890X0S>uS_KQ*U%wseZaN#s4f((*HtR7GoXp>
z?JYSh445t~;{WZp4qR+@7dWxRfZA)<j2QzMk+JxJX<w8Mq&b}%RT5^zO$&kM@gJB_
z*RwcGlvxLkZ&e6wbz;Ps3)Pd3K`i*DM@+fxiZ+BFG!yr!WW?y25+)`AHf)|Sc3o4_
z2AjSTOJ^M>oczS{W`93B&O1?;`WtD`pZZwxzkVi6;bb&EQpt&W<460CyU>8C_WqCH
zE6lhu^uytJH8&E+`dB6ZP(e<qO?B!h3!aEN)-?W}7d0wlBi0J2z)3K~$Az=vNiuhL
ztq4D+rZ!~z@1TP9!^i%D*V*vF%3zh>ZULm%@k@EcKn2&W7cYJOz>YrUVgoVv1To9M
zv-kNiEtqTFa4XoJ6G!|i+ZUyT(I-cO_4&Led{kMs_8;cLn$2^9!=)mq#%<bJd`c5U
zWF>#LWb$B<<Xno{J~6E2X0#uc)r2F_^}M^x`H*kn8AH2*1g3UeUt;UifLAL$GL$X+
zNYqbwoe<oBZanfdi3|-e>X7%j<|lxh7Z_rC6*uC@7NrHdBO1{3uuQ!tPZ00!FycO@
zDT5P=54=^qHGqweS&Z(t5K7vbNj!0t#oQ0OjdDUXAUTNH)WS;yQ%3FtJh~}|#dUjA
ze&%REo?J;u(xfQX{cwG{JS&epx~i_7(;85o6_<79ia2f#%6t^CTM?CazID|5=l6d;
zpF4efuOtq|d7m+Rp@fbF{E<m4TJVu4rTDp_6vnNOgf-Zz;L06!N$1yEaAs=cf|0&7
z;@$h_S^HH{FwuFN_8}^i9_e)??#kev{;uhj{S@5Rac+kaHw{J?YTu-ivbg6=NZ9xf
zbqx1E7Ja{+2J+QBW7?nO@XgpWuB3mQ%C4}|Oe^~5Cs7h_3%L}KFQuElrB@4m3M_({
zigZA|@A;w2CW^T7g0XHXg^H!o*UH>p=)!P6r)SGSB@B&P37Zk8p)uKavW-(8Bt9j~
z%B3r#z+z7Fy|XktyzQC#e2@YBG@O1{TBU*`z7b60y)+y$k2dM~ZU{<hEX)~CRWXmv
zGwb0r4c~#k_4Y_(I2Cz>H?~#{JFDz?W`}5a?TBu?mxw7`>0@@gf1ZNR>_THzQ)uW`
zyZwknjTzi0<zvnosAJej?g>#A8m1MAoaAyKAeqbR;h#!%wC8(&*k}tCPf*-lV*CJB
z&ggq{t*WDdn5~!H9Zht85i#B;Y5}y@AC)cHG_ZV2<zF68bv(UgU|_1;0)}t*4a&b!
z$D6k2f2Q`T;(1=j4eB&YaC>?cLW9*&hu8CO4v#V(s-E4x^|B>=U0$&zS}7RpYFlDL
zQ^3&dR)La!OHk0J-_bp;hGP;#gPxAEm|z*MY(M{xN8GdBb|b1-c*i%8A|Qn}%M%ih
zmn?ymB9&xctb!Bb{Fa%$qG;s8`n_e;5-x2^@7uLY8SmdZ>-CaO5T#2q<haT$p?)y*
zfX#PBjB|ez73{~2v7RJ%VX!3(S5kGq1}h-#yRWD34`wvK&iAN6!V)55;?H?a$>H4I
z|0Eqn*U8OMXATgLEr2hPx+Ho?7T@c5^ztSDCR;Mzr`GSbfY0~$T)sCcjZ-E|;?*4A
z$;2%B<I3Xzw`}$MGDV~?yq(YTfa@#r_p7V>7NP<CGk@&m@RGpMx=gX+hiPPpRj~jY
zH^A4*ca@6+qR7U_Hg`{}gLqE-6-_iFfMw*oy!TOIyu7%f=y}d-LMEYQi-nIlsKrjk
z=MjR){bzgO#m-^k#)s8&nHSCAENMG%-IyP@yhuw3J3LAp83-@jg{I)8E+wJT#)JPN
zWj90PDB<I}W6#$G6YvVriyjH*M8P*2nS$b@L`gvDp<_BGP#_X`2&350C3JsIcEm8z
z7!<)qf6N#L?}T%1>SM+xwf}r0%ij>z>4uI68jXOGyGe7?aYme;v$*n_@`|_~P}ds5
zWdw5TPEFuLk4D>gla-Zvh%-Ge8z%P~LQB$mvbyp*xw5r?t3ZAW@xhRXDXY!^c+_im
zxvsC0UM(eqGbYu<U$2Nva}fj3R+F(a*t|^2<lOq3q7p*dWmaY0iqHp-?;o85elC!Q
z(j_)pde@Sw>b#zpKj=ZwXshF<#oy#1n=*ywmgnTa-0N>6c6v}3bT{bjwqInv^Hs;P
z;U4m*!pJ?h23?>it%lOg{v?-IE>$1586?LX){lMH(1n8YoDW?4XUQ=CdTGWx?@00F
z?4PcMI<RQqQvdYx47o)q=lWFaDCy^xVSPhJ2Xcy8c3!?PO$vm*WgJ!+Blo?}tVqt)
zhDuH8FVb04B!B3PO!Ckd((GEdHLsjDY-oxt>i;`QKCb#3>~Z-!sj_k6j9?KB!i%*7
zL#rpr#Mf#SuC5cL@T;dTr)V^Y&UBV%ubU)&D=$Vanog7KS)7Ag8>tX7>en$uKSi2~
z>nNt&oF#AE88GnJMg@*1`8%vGPLb{_Z$#L%=Eye$-^BiBT5#baMY6$dn%v`iPorz_
z7x_xO`IhIbCKN<oNGl7RA*(Hgn15cIC!Jp<@mI-fLa97cu%+uPIex8h%k#)ZQcdZR
zn!Ve<oUhA1X)X7Yob>;mIu^T3+V{7y%HC9mB^9;ZN7?4c*e9QwC?%^TV{&|p{ul*}
zWLGZt^8O;D<F>ZGX8cPA@)%r8*P_7EF&?olqu(U^DV0pHp~E)Dt<pOZ)SyD2E#Ca>
zJozbb`JG59J)UpiWK4Xg3N+O%!vTL5$chF3+WQ)esJ3VSxQmG@@SaLern|93no}f`
zlKyetH}UEa|1A}`q2}~g-fxBU+OMx1n8$+0!>d^4cvZlyBO^Y*YmHo#@cVr98XF$*
z3)t>{S{V{Jxv!6;{UvoW_dMr94tzv!YtzS|42<mt>nyQ!C>8tc`?4fAE;acme?O}P
zfpcu`3_bM7lg()IUpX)G`*U1#7gK@<%`dK&S~H@{(cQoLE%`Acz`9VnLJ`)PSTY4h
zm{3G3v-rPm0TfW&K4!C55jtF{sTXot@QIgirQ=B<{K7j*ug9(k<M}$mjVWvx?P;Gq
z?efnDTy3Y5UMN7Zf>G`1Vh&sZPv2u+VyI{Qr$9eT0oVtEpKz{lp^oAgI{j-B_%=7L
zE;m*I_O=DNKTP07j#u)X-gHvve)#>Rv||czUF}OSodQ2bwcVOoyD5!+y^3odXBFU_
z&g8_-y8=j;qr0WuNEU0iU(8*pQ2_D7T`oBeLYSGH0_U3K@C<VUWu8S5?ihDf%ZiKO
z$Z_IpnXdwJDjJpK$11{uj-bY`oMOm2mv>}QMF~eX)!K^6DuH(v#rKx71V(KQp_gY>
zL7!_^-|8<Zfy75%@x<T_SY#mlF#oSAvfeyXoX4R82h3#Umxni^>w^OkR8Do2{PZj*
z-9r_2mkbV3AIsno`vA89B~6s}&n<0Wpg>_FcZiFW9ClyY;(AA(iWd*B(N!(0!#)?=
zxU@_1IJmL@<Tok}w;kQMkm8^PrpYOTtpbWz#gRjr>u6)&pjJW%0}aZ)H2%4ktAxjn
z$Lp%e>flCW@0;J!w4tdnIE;^`g2L3R&%<VPaIxukzwK^aVAAkwO(a$EUYgE{b7{KR
zQS^QXznwnV+wc{oSWvLGCiRZ!iY^|v)|T6I&=9b|S5oSpI%<g~JrdZUhcfw#<0kiv
zp`rYp`pBFHx_ZY1vQO&bv)u_p<@9FYS8gOrvT31n50ih5r!Jn^)Z1UZkARV_0`%>p
zTKF`@@N!zD4odKMp!7=s@shrXs|HlGVc!$Wr>~8g4~i_O-dX_O>vxgaO~o>Y#vkT+
zRNOW8r149uC0snz_VC>%Dr!0n@x8gAfn0+-7;Da3!F9XSJvZ2>s3hYw_UMEv{$=uI
zDwMVc`~6EUL#A3-74Lu2%|a2a&fVE+A8!pcEjP5rg*1_Q&z`3l46^uzc%|KO-x{i)
z7MX?@s3Y!cKgaW49L+h1!Guz4FqRmjH=9>O%l1=7g<Azsxbg|j@q{%*4uxyyim9SU
zNi$`Ymlb!^O)VEvts$^W5`#A=qh0m=Yo<m2`i|OVvDj8CP}=zG@#MeWT4b>+XFj}@
zlx#8JxN2_&prxA0^+yiXuIP1^I*b!nYmd9WeD;s~=`ZoePZ=D&Wai#CvP_)1`_6bw
z&l0-#m~Y!KC53rcucR4v(F0${u^Fp77Emye(9kO{ft*H6r)#{K!9;6hi@KNv7=@tp
z+cXgjN&j4sHqHtXi@)A?qyi}al2N;2CWz&Edw$%^U<bX)+LcH)fbVPFQO;_7sI6g?
zSe(fLZ1?IY1N;O$3}q`)ui!v!HhH__qMXnLy2aHS%>h}fXHwIc@hE!8oHpWw>g_B;
zkp^bq*f7UDHAROZVVAj_Bsqao*yQvr7gOjIl#S1hUnYb67un|qIKb#>r+8el37mbR
zrJ6@KN7k%R6)Gb+pr=CFZSyl@pi-y8e_j4c8V5<n4vTRB^{(V?U1no2h`$w+Fa3%<
zykn1(Ya=_P=qE~F*lq+EmXcu`dz`3U{A}fRlpO+(3a6Lk8$$Mf8#|41`-vL6A6MR)
zvjg9>$gaf|1DI(pD*buv6QOvimP1U59ZHwqwJiQ;02$vNcyil}6Q%Tv-hb8E!9M8x
zHR~pQ*m?5K@@n}kq0#Rx9<_%Ze4OR=k~Q=}NQo!4<@Yb5d-g=)<J;_TFF$V~DOV2`
z)l2wlRu%|>$-{e&iE}{ctZFd3s2<2&N&dstyG&>}loKp99PlJ-?#=WSUHE#)aFHo-
zjo>3if^(udfx-oAvLd?Rx~p04+s1X`(a*L`UV&V2Ka0*J>!uF4nWqi#4bp*UHT#X&
zByLzzxT)!)rUQ^sz4SnW0a%#8PX8qj%-F{zhdtJYnuzq8UQb3ysh>TuCd&r~%3r-1
zc4<R0-x-#&2TWk=F!J@`Z$41IxT{~|Ck-m@`1KHMEO3oQ&`)NRAO41|Pib7GLEqHh
zrtODWLDbUboWmCZU{VSfwl$-Hs9QR7+;=u;Y+(E9#4H4SnnT%xlT_GxI4j-mILE*J
zL~DI4ghB7pL<9Wmtw-Z)ze!4SLBcj+)ut>Fcv`abmc^3_{aKy)R%6`o>Vb?vg@71T
z?PXIyB`Ppc;4fV(FYvQ4U5+Uc2lbxMIi}-UP$m>*gkSkUQB!f<(OVL1oKkmwysia3
zRSlezYy2>KX@i%AxfBSopWd|1T?-<D<wW9@1z|6pRe_MHG(6{DxL0DN1^)v80RR6K
zS9d&?-y60!*?aHT`@Y^`&*wI?LZ~l^B(o$b6s2V)6*5Cogodn=)$=G7WfrosNkWl5
ze}4a-&-FRy+~-{PeO;I1^?@7XzWm@>z)+i0A`SC7ME8@bBuF!h`*aKyfXm}1bR8Ws
z;PdTG*Fl5?w@sEG^OJ<YCeZJ-K7$-ExEjucogsni5y{BuDq#@vUB|Oo$OD{dpf`O-
zf)nLQA?J^X!hxU6)aLsN5H^+=S0O=$#oUIr--6;WDP$I8zo7_PGT)y1oFPN;XL^sF
zSqZrKaLFR&gfd8X8=9N+lA-if|LUs&DQJ&i+Pd@=2lut>zuO<70RN@J<ifwwP<38^
zyWR*7<@*0MU0S8U$+3Lh*lii`^X*zGe@XzK2JP{%GAf9S-{y(ul>;4(_th4Rs$i^K
zg^$0f2G3$;D}{;j;9p-w-q=rq<mobs+f{Xd+g;nEmI_dtcO_(5jSLp&+rr+aYQVnB
zedBFjiV%6Vsxsv{8M>QhZo4&Uf>*s7Kg~rY$f+xpNMfcyb=e`_1OaVW{dnE2@2WD8
zZykG<Z%BdG-$J)oF6w}B6-TvXC=Q-1M=EStQ(${q!+CgC7hV-a4=6aOfU~Z|R*eb;
zf{0f)Py6e`#A7BC2`)TH<4s6$-^sv)&r7>EX#kubvpRep<Dt|4L?Q1%GWgF~(Fpv9
z!1uGqPtb4>pkbBf$2^$?4whDNnJxey0&0yHj0tc(_?g4BClQ)iw?`^g0W5CaI9O^*
zfOgI8>Zhi7IFToKRP>q=xIK<q4%tTlS;Fua^`Conl;3guw_pT+&rr5c@109m{E+y<
zT@kLk>JFsuHwKe(TyX;(9?orh#WrDbkb#LhVpokpUjD)JFp3HUCjWO}pPURl*`*VX
z&oKrXS7QxT4IGTwmFUG%B>-vyy#C8IhA}40`whP`Jhm%n)b$gFZxdHZNpZ$drJcI*
z?7JdteN@lbq~V8Pr6jHYjv7Oee%h_sXa#6~_42SO7dH^4YVYDDjp3(6m<}k(!<9zm
z0Vy?Bc>ah73ObEI_iwQC$~#%OloR8YYDEusYU&3l;YL7M&2P#-CIe%txsM*c*+RBj
zhbn%F8i7us6zevfGz<$zgoTwaA^#FnGDBYj@F>q+4m=?NbgSE8vE{Rfv&lv>n;n3U
zmIop=EDDE{LT1Z0#t_DXLi!(C5D1Q|djB|57<R4=y|JzMj-;fPe|WTM2-CMca|g`?
zf%$J@<woTfq>AU#v221Ni0S{4#cA<Fo43X_tm!S{5%#{D?YIGuqI+o`Ir4(C{~R&P
zvK;wyALHoE)Cc!i9|NZ>Zpb+8P!g~H5}{b#zklJo9<ZAF>n@6NLB^^;XnA!da>~7G
z%~Dhk6tDDiI2>e$lPf3qf>uzZ<Ax81ho>%(c-wDq_pkur!@T>irBBH0(mmU%mpV|@
z${5+7&jeyOM|&LxI}j@=R#_c79oUu@Sfr_D0QDmexvKqpkY!|wuF*vs7I!&&o^#Se
z^MNmd-l2oYH)U}h%4;q7Gk4_>%L7_KE=FFg4H`w{1SJcdg|r}NJif%;n+8|{uB82F
zo<Q6JLp1p=Yl7L5zKY-59mL(t|0_2#jTjL+t@M9tKs;Yi{|l~dq@%9iiQ4iTp_so-
zC_khD0j9JH-zzqe$Za?4zi0j+(!Q$}&Q0o|uOSoj^T`JCirgFVBy|D#E&M!@4^ap4
zzG5gCT}QOVk3P-1`VZ;QB<QwPtHBrb1H^3ibtE5QDHe-ZMwq+{zlUh60VfwyB`&g#
zkfYq+3B;`;ewGF0n>AEOAx)}ibFL%%<MjpEpRFU7qMO}LMpT%IXg90XT1SitHVvCU
zH<9(|uY~X~6!?xgHYug8BNLMhl`bYbh>u4=t)B}8jvVrR_(E|5;S<)t(;TOPxdMk}
zncrj(FH)72pWZ;Sn7{F5RMNsKo1gmgt7M@5yOmGhzll8j!rx*pMGuebBAxg|$sp&n
zSbuD53!%3+ROiWOfDV<jf4&BiU~7eI|Crql;x`u<NH%8zUDXE*cgs}afZT2MPu;sn
zuz?pFKPwC9og9$O+aki22l4UjCmL{w8~675%L>s+GhuG_L^!pmQm2K{LgS`yKLZU1
z;B3RnsV@jXhsMNcbkjj(r6~yLbHU((oJBDo0V1#OY}{vIfTOyFVi%pb;TP}JhF=sO
zf`_*9JdQGg0qaCVW&sa$n6c{`(%?av&Nr>$D-*OeFLr$6;{##s`V-P|Dqus>VAc&}
zff=debp?6+Ac@6oYfJ2{|2oheMPY-Y$rzsp2L++jRDI<)hJ!}YuWjj49B|)&|A&L3
zFenz^+ZZ{IgGeoosT@5n_`B{OV<#&Lj(pSKIrVU`xm;}>X37mqFTVuRTZn_g`j6HI
z0UU(<3PG<%^S}jOcB%YKNqAS2mr%xx1Hn3KP{|lC$W`F?MI}hX;v|C?JwFb{+f2W{
zb>oLs*YMq%aT#!HiR(LJxVKLQ%Qe?E0VsLl+*R%%2d^f_PLIXoAp4}-IDMrMu>E2G
zEZip#q4&m`4({NfOf2Z~LXrpsFJ^A{hbThJd8Veh92F2bHPo<_ECviSj)C)v%3zu_
z#d75g9)z7T_ghv;z-q}v5&JJ31Wt3t>Ru#3x=}--$Bq=Ne&<I|RN)~e&vYcMfe8M>
zOvwk;WI%Vd+5X@yBG5f=rD3rn!IyN8V=1As;I*|K$Z?be%%_Z8TknzK@{-4P<wrT7
zx@9qG-X%k?<{+X`M1kaM+;kVD6~LhPq=Kg>1qPdP_lHeUA(QxKG3tuqUVZ+r!lkHS
znYkswZKn<i8{Y_)LrM_KZDoACo(hlRdm7)3Xu$YHk^an{E=+$&^)aEU!6Ki5s91&;
zoT;<tvX4}Ow<Vl%#Pe$K>+KzEH&6!-brSE{mEa+uGhV6dq8hYUMsNfi)q~Puq+_d=
z0AcFB=}CHOkWo>uALwKNs+le7N;yQhMS1u-sFDf_eW!ljut1=nBlz6bepOJlP-(=C
zQ$Woo=?f(VV4aru;6sHf#K!&(@A*uIG3`0y^s`2g9%qCV_o>2A?6FhsQ+vL`Jnv12
zx-p1ZWm8;VsRGKYe#D~#50mQ#A*?;daIN2H`JS07?9s>HB3K!U)1yD1J7@yW$_7}i
z6Nu2SFtT)NULO7(N<T-)Hvxn79Quqq1keur-jv`g19>bwM7cH-cw|fXVBxgaA2Kac
zwwq$0bWS7WPNxZM%DjKA`x6JluUtag(gfg#Q|sf<auX=3zTBMTpbQLyGuuJQ`yliA
zyrf8|2|Tdmq?^f81oLBkO4ElKLBf_v)<o6>!VSxAXOGB3SKP@l9ocmxu)e74ZJjYR
z#KHrdh#Y)#*OvOVGl6s@&ZLZ68AHg~bhUOT8AxP}Z$8WQ8m*063AWqQSs+fdWNJ!5
zKu6c?Z1^Pl_>aWCPmV@#LzblYU{VY`qyI)1jV++N5y?$z-2lb)a-j>TFf32~Y_gYK
zMNOu}U0(kO!2Xc#6l043d^ATR&a`fz>xq75H>(l2+#ssh&dCS9zQq^V$lIu37e{Z}
zXG6Hgv~flymK%nGU2^O1?4V&IJ30@>4FI)_mcJCl0axQvT{0DR(aJBhRy>Rbuz1#q
z=@r5P%fz6R-%7jaJ+w4uLscJ)YZpJ|gfW2pJOkfDYzKWFN-CE<t_MAo50hTJwD3}~
zBWsO!2R&41orKTQg>w5ru{ho>#9?c&<&54o+MDtCRQ{mOo_|R2Z7N<tOe*z)itM-0
zLjfgif(knDcIa-t%fJFMLTtZt*lQD=?&oFLcU~KeiT1DQ$-fa}d6smcs14MlC+&}P
zvlcAu&*Lc18%N4|JKfc5)=}yE!dGVGv><SQ<c88vAEM9spRqO9I@%oKeU(2-6Zi||
zd=~zFL9peanz86LwAk0+qQfr@m_7!{Oj6Gf^kMeOr2HDHarFG(<Bl4@K)^koJ@5uS
zIOLbeIlqbqE%%&beWwob`>iiLBDJE*WAv!z_$vBsMKVE1LmjfvM`>mUd(bMwA5PC0
z*HBSShx+5s)xeSZ0#dzxp#JBYz8pQghMpO0&3~_?1`>)R*NWCh(e~_9C;5BU(4L)C
z1Ia=vnD#I};NhA?U)H7`y&t`f<}3)?{-;8Pu;5!7cea0`1v0wFyS+Eief^hroy#ad
zs5wwV+dYG37F>*&2-`%9JcM$1^eIr4_s-Dq;T(G5*y&NV`Ym*HPBHx4UcYua9Kl;_
z{6(kiH`VTF?fv5e&#m)E$uL46C@7M<fX>dX4XOOvMRzn>Q)DJcP-DBv6vg`wEp*?-
zyUoyGyqtmh34$ar_tO-yNm)X7TIhV<?9gH=sSr-JR|Tz>m`GmS3YtMG`xdK4j~yQ5
zB`GKE^>b5>&B^Xn)RJXMYBin#i#9xnyVFO2gz~LR(>d$t<x}QkSDBeGUUW$^1xJ8V
zT>&Yz*iCfy$^)&%XUv#`^jo2bYj_CJ$gSI#wvE2IWHxy^f)zVPEpg5mRRQi%mR~{b
zyQqqFT6f?@c5JtDcEZ_eZ$2`9J8vXTi!pxhf7o2iiNy@xeP&jNgOlD<#jdC5FkU+r
z=ff=A*n)BMB^GTQSl_Lz`1ze4TRX{4v~%IX9K@2x&%RZLcjwf67rhv<(2RRL`k#5R
zCu%q8uG%XDUDvYo8v$m_e*f3q5;uNqxHm4@=Z_L7o^L68GRJ~lPR!tO78JyaZh1;(
zWGjJ3xNd;kUp7p&%D!%6MF=CZgx>9NQ3B(P+0v&noY=TFS=F6R6e}$e;+DZF!3hQ?
z#hB=Q7}GM@MoUi|BXgvZwmFo*$ZXVvo|^}IaW3rwTfQXbcsGsRl0^xmf9wtvh40;u
zToZCFR~oZwtY!3*R01<M{L6O?{Me^;`{*GiS<L*Ip_;X$5@7SX%+{p>Sl{NY;Hz<R
znA4p^&B$j;Fmou;oac%Vc9h$2PF-FBqi@lUB@>i^gc%rQ2a90OB$-^ddKIxmD>ZBF
z0cFtt_otRVK@4k=H&XqSuZ$gfA>G1;;vh-beI5NGfo<W(B9x+3Fzc##tAZgFxFz4!
z`C3>S)1`2^t(_%cnt7e+$BYP2EE~)5-c1He*xyIl^-;yjcT*}J&J)4;c$H>Mg)DZo
z{Hxg~0vUVa)FOU*jsy({RYo&}<T2~(Hq}{@6l}U{CVyOp0&WYkq7g9)m`7q|#{pU@
z2ISkr^Wjv8bI{52-BiRP>N#H4eW7CVZ@q1z=+xn}mg#wNkTUk%W{D;CoErA(<CQB1
zt27|p;8_&$2M&8gKX55@P7U)rFvlF2ss*ph*!EfI;IVAAmQj+bI@Z$i^h{5x4luU&
z9VUhou*DcAbrrli7SfC<ij?TV-J6jCWhq2Vuuj-(Xh034O=~^v(qRA`S>WJ(Srr=&
zzU|AUr-t1RxIWeN8v&s~ekE7j-fQERP3QMhG5U1hqOKKycW+-Zv)m<N-yVKppJ$?A
z+2WqZd`68RI^c4aav=$8G`4@-PEW!RmNR^n&yAsA0c>JUlQ2u#woK8xc#PHS!^6-$
zo#jiRwTKv1#T4D&>8N)pVX0J}m8Q=oP})<fB+jIYIVlc@Zf(e6R)0M=?hBfN8bSNt
z_9y`pnCa_!p(2g_S&SX1*DwY1y7S9<k$9~2tAB$FhY0q#$K*l+-W0g2r)D1h#9{9H
z_;w#V@M4Y|Yf6^eCh+@IkIWmKG8PmaT)maUf+ctSH2<&61Oj<kE)5)1#CFxnbk|(B
z&||In@4{?NV2f+T!Y@D`3$=TZa64uaJ)CzSOL4#$#urZiyBQ^m%^vX8exlimh;{Ff
zaBjx%^-QgJ&tqvUOGm?ROMf2W;YiQ4>obBg)uo`5FM(}zOSF7kUPaD0%GMs=)89ul
zw=)`5M6o4ipZ!KRcaTwvEIpwO;0QBA!t%HvW_RR3Q+^gL<oA#)bFBfKg`^V$y7@4?
zTx2p0ksfG&Uw2;2M8NL36Ge@V2b0p8<LZ=QfHa>Eh5ZGFP&9F%=tK_(wz%G{<?w(3
z9^X~zORY74>@1}_#!@VpsjAmNdIJN<NcL-J59mYx-!l1$etK*|px&sWfB^`s$tjl^
z^r53H@|O)g4aR*|^_Q>*0~{+6zBsR`2ih5G?iXa&Q3J#JLyB|^(0?cJ>c&}J_<a6P
zu-*D1I%MCLR-Q=@RpU>z*<R^@^gr9Eu%#Jvnv`#rO`(VJlRCliyV~%E&qdu#c@!;i
zEWL5yD;-=BS?^l3*9NWSH2;L&4z%|D5f|!pI@n$z5}S*(fF``De{}sG>T|Z%SlXNp
zv?d)AA2DfxWRj|$*x6>pcj=nqOBp)IWmqN3oz#T;%gE7Et3IT+ZGTOa&>r5h^2GL6
z4e)u(z}j_q4DoukS$Pjf2bY47h`*o#f~D3&<oKUR?|DsIdlxzoq5pp9Q^lT7uCJsl
zAD%_t;!oZfD5QhiGOtzt!>dEG+%T`N|6jz?b?CaHAUzZ`-%N-sRD(>hT#nwjMP$~>
zE_`1BJ=Con2$WY=1HDLkhTY^P<O_H3=!HWJklfk&M(YI?7OT|~k0h=j>edO=qsol1
zZn-mAqDckEw`P{Dacc-;ywXswBojQTOInU?q=45YcJ@~{HjwTCWjWAghPCzDoTkGR
z*uEM;Ll?J&d^$*Uki5hKmbV|(M$VC8`tM!V1KB%B$Y9E-(G)901T!-<#F3#$nlUBx
z1PvS|g{5KP>|pdzbmgTo83Hcl^fJcMf_dxi#D*RxNNHCn&EF@%a1kkHpq36!dN{`B
z5cYiR*z@M>c~!8<b{$`5U;sXwm86bBZaC(|ac|8=71F<njd*)A!tmF{Ub!wFFqk}K
z^YS$jmhaUj6GxcfEWR*-U4joTtyJ};5Qre@Zh!Lh1s1q*b5g}GiXYau?~4_`B*2{D
z&2GoNT)E?B%}wDD1pdCxCz5+}JHNz>S&oYXm=x0HPQDfbYn@4F&oMl_4L|Nj=H-H3
zR^*Oov<M_|S~bX};z8ExRbr4dH;|Bhf2rYO!0(uD=I)Az@wJ)jowhtMKh+;{Ib8zs
zpSXPX)Y`*;&b#<Gl@~-7=bOTZ_Hr9J<LW3L4^QowK3rJkgV1YH-V(|(@Xaj3;GZ5I
zqGCRu-#sq?McJ~m|Icmf-S%f?PT`@Jer<7apAcYmv!DI?_j216I{#Dkc)0t5@oIFl
zFeJXR9r@s(05wMS+vZvX@F?Pbn)FB%o*Z|e;TuwfB=333{T~ESGkZ85mL(2!hJL}d
z7nPyaWj^xhD<UY`$R;dRNW!I~B&L5dDj=Uz(6!yD3cxtCFDyhFeCC`rLp$+sB#6N=
zg@p|IdG;F;xiWBDcWKP(8WFC4!!x~WC&Lfzg-Eq-S)eUmn~GB=LFd%liW4;ycyfl^
zt|lN41&tqWin^1*Xw#2k^qC4B7QfrdT@}En&3yj@AqqH8Z`bJ2s6+l$^=Zgggj;dq
zRrb{s7&GN0&bw*=`^T|%mtRUC!R(^Dth>i=p<{jK1DX)L$r5rx9tXR(=}H#wQK2&Z
zO^9N+Hn8e6jJ-dg0&W7g-;CB$fq2EOk)NsyxtGHa^1I<-qr8^G>=_l#$C%%g+R%eK
z&zNf=mIQeIKG((lC>5-J7%Q%SGysc|GiMmti16X=B{t?33S=d<zw*6>fNwA9Wl$Os
zs=wH;_-~Mb?nOH#IvZe#)lm4}Pa?d(r;|3<LxMQZ#Gy(LBls-l7b>tugoM@<{r&?)
zkg@d=y3cM5GlDE>i;YCMt#f0i?~Dp0z3u6(O*e*-_=e%OJ)91QkfEZp62vpU$v8-B
z0#|My^x;b-fF4~i?=^XO2)n0Hn`mwV2eXyFf6T>$(}C(E*B7M$QHQV9z9w)gL9Y)N
zq5^e;%OWZ@V&Eo<dQJJ5z)#CySw%@4ybWVU*p~&M)7x+~f4>P-yY5~o$X5b}>T7>1
zUvq;<<7oZ`E)z&BG*JA>s|XHR&1}0$ED&g>+;|8x1}pIo4pYJMz{Xab`+z_L&E)~c
z1W#koE-=>_Zj}YX>DBj!%ZrHiZP(p9YetZhlVZDumjU|R=I#*I5hNkz@YC>EBjAx`
z8In?#0{A%T?HN~qYWc6_>GB#u6eXX-Nk|-4(tcUyhy6g?PAWHeX92WijML8(ML_XV
zhlcI5X>{y^>GR+60EeT0JNKOx1P;{i{*SUhs2FFH%zqvTj1Wo*T~mCZgH=VQ;ucZj
zi>N~qmkfcf^-4{{9UjQwGcUh?;~#o){GEc?0|ST=b5Yp&#s%wn!xaqTODKmB`^522
z`Y@|+h4}qp1L?zSDKXMZXrtfxp(m?)Akt(|rW?QvjukoqFRK2bDJ2=Q%p^T18Ig$3
zFk^sOrYEHywExgo{w(<iPV0h}wSZq;2rZCUO-=3!Euz19pk1|G2QIkJg%!+hBl&Z7
zSLV4EP?I+8_fFf|psZq<8Fg(PIXsx&e(uj7w4?f^x38@>SnPY&-JHFQEQuYj?5vwZ
z-z6!Z;3?38yy&$*UX(?|ru*g3qKx0@2J`S19jz8rrg+}C<~@%H7I*TbCH_MF;@S`Y
zJFW=}t`_(q+%M$$^tg&l$xqauc&z2&Ck+Vj`NbHYIf1BVPu$O3okXXYy<c=tG(hfF
zz(jZM2tvJ?WZDrlfvQ|yDzts54xO@3_a!*?Bld4|zn6=Rqu}z1W0qGPCXI*VrER*9
z8`lLHTh>O=%dEH9uiR9F5g$*)fWHk{IX;Yg&OD0F?p|FRrB{PKJ5HMFu}0*w!<R0D
z{Uhk;gU0;DYg7o3y!kKmQ8m&W`7((&U>FV2ptdH_Q=zNKE%fu}C&(gjXMf8dLVt>+
zJ$w{L0pUmIcvhs(qrN(0j{`M^P@aGxS2i9BgnLEzJ=H8mt0lzvT1AJ@k4fAcFSE&T
zkwGeRdGa-iNj+LNb{Impy?vJ>@MP%gOL}NT#Lzxxcgf1WA(UN>S+z8r1Y+AMxQ5h5
zG|nwXuJq+F+LrvJz&&3TqPdG~rQbK9?~kcBzV{zN&3?GJ4tyiR#RmcP9nCFhoW@s%
z64_DoS<}jYG^|9ZQR)As>E40bcAoALq#r|vT0`y@n-G8^*6hW0_$zu?7+qOpA4l6X
zoBJwn;32Is5L}(QP%j&0-ZH}pbe9ydO53agB~LHBFZ1X@ckTMwkeo?W^G$AEFrNxY
zJ_)&CdA%2<J1O~UpUO`({;W~Kj3*962W@?*SU);Yx&MgF^fY=YiizF6N*NXg?}h})
z{6IO?|Clol%%DF|Pn%oZ%5Wqp&sXHdFv>p3kvq*ahraZ+$%qY90<`h>n6}0!dg08|
zrw@Yupo4?LDr%jIaNqNNT2$#6dR%nqM9&_dcTMMBUC~yA4>c~Tr)(zB{o^M5g!n}?
z!AkItXTAaif7B_(aZaHstJzpTaS44?`jq&cUjgnFT$MSn`V$?j;XnRkdl{AQmC+r%
zDG#UNqh-Us8T8T7+3@0>Rn(uCYySm$c@XLd<Qj3EML&&PQr6YjKuslR<*KjAL4@P8
zglnVoXk{0to_OIFiYxzK@`^zYuB~2=kNNf&#Z^!OBaZB%Spx?P?<UAXA9HT<2bV?k
zSwgC{FrF6Uh~(%B5s`%(-iLLMGB2Svm+76RJLs^n#Oksq&tw2!SIT*NWEm}|RLcxK
zV!#R=f0vyzkpU*YEN|ACRg@}ty)M0g3A^=mgJd?kr>_L!<t^n6G{|~0MtO(@6YjYQ
zxzW<_eYbZ=@bMNJVwt8T?ZA%d1a`(MQKaEVG`5iGzKhl}Qlk=?xiGy=j}+%-DR|T~
zS4g4IV#(4@wsF_FF&EkPaTjAL7*I7R+w7;qeEuEF9#ZDT_>V56H?>QGbb_?$hf)TN
zV<ELMbAt~n!bq{j=Oy8(|ARsLDkcoqH0AMbQvj2(MZUaHmjt_x)cZFVSunvuNV`iG
z#uzHh#+>*ip`2)vd&7?%Bb{P(b;=RNN*`<<;un#G$)J5A=OwwYi(BU1p5_wRYA+LC
zw523a6U#*SZgXSv*PApJgrqUU+;-Wt7n0DxThY`)=EV~Dc4a@8$Y4UalG69KQee3q
zqj+|k4|6Q$hyi~&j7OB0PFY+U#B;H(tz`i$p#R>usf7Y|LgYWO`dVptdQ-yNKtdRc
zzpIosW37Zmrs2PL-<ARUCFI|u5K(M{^|uA<IUHsrG4#bEOBQ(BtH)_+B{2D>LpMLx
z;4#6cl2)wqa=`Dp@4gWxg*m7F@L`fv#nL*u>==_2z+oL;hP%jM5sn#{rxh8)G0iIU
z-c<r!v&p5v-?G@Lrpe>wHz}BHr34$S;DE7a+v@2(d5o~Y%f8h}#Zqo)rI@r6V6)==
zM+aL)%vxJ=qJKdRdys1SVuOba)RTWg$_11$%_E-&T<A5h;nh-`sVxd@)`<818pUD%
z0{{U3{|uLRIMrVq$L+oM%HG$w_uBLOwrL^_rL+_cN%RXzRAfYhlBTRmMj0X8i!zdg
zY*8XJDY7Cz|DNYO=lOh|bI#}Weid%fR}vpLpzBUwZr`M?kCLwGU!_k-^bJmT%$gGo
z>E$fp)hgEvQ6k@v8N5fE-k<wx`^jI1bX{5b#_c2%*d^Wg;Py+0zIncBqH@ZRUjJ)c
z@b|bGsy%<?k86<Wd)7ZlPB?E!Kf7^8oT<zbQ4{TXze~w<vF6SIYO(>{`rqm;Wg2jI
zO9VYZo<djB`ypFts!xBuJhYpi*BVc(Co5iTr_h;F_5Z~CQt2M+l<aeiZ1AkVF4AxZ
zg-&U_CK+Hyrf2sZU^z{(g<AZtYd7R5bmy-DD<LmQblZJ?XJw~t5ysR?(aR^(v$*q=
z)32-26-w`kviaJ9-F{uwMIJKUkSqOhp|=7(E%{=9`ZGIFM(b@<19j-u%Eo#H!xD6Z
zXMd~h*VaA7YBqIW(xT_Moj<w|#!tV%K}%l<utU7dWK7&HO?uDVKxR(NKU%%ru0mc>
zJBazr-*Dqpr>h4yC?3?Qr5(CH%ylQp7O}?)9D>qR=&Y9;t1fHL66El>&uWaei2KN|
z?P;P!zijCtQe(x86Cy#(!~1Ly{pW*9Uza@HsIl$??=~(FjPYZd<<{6(;=A%$avfct
z)YBMyn;(^ZN7DTytntQjxH$T?1YM@9{OQm$LD&>9oCpZA!m5tG{Ya_^ed0jvm2E$S
zkgW3Mc;r_gF7ju4dYb?}E-^gsOp!3E%Mz_Wy8ywieQjs5xabjH37bzSh@efK8q}CX
z;F$Ap+A&)e`h~XL3JvQ;K&pD2!*j<HW5b=B@6IgK!tz93W!j72kxr28ljjzYHfimU
zzVMr-J=^qKTvY_tS3P$5H=Bb!<7!H|!5}R(d{0{ToG^_2BoyQs%rQ+mDaBiyL3=`$
zyz#eM7-8--O&<$0Z1{cq5^=7VnDqK4sCQEsd=0OcWFk%By1vnC!G3}$ZD=K;P6$J}
zY{!Upw+S?dNlhnT%@A@Fof{9f3xmRBcfZKM1WPi4V(ipK!f3Zy%ZQ6Gtmr4M|4A{%
zzNO><Cyjr^aE8ODult4Jo}(qVjl&q#aXXlob~0j8OuKj66=8TBbiBAX)Cl|Srm}NS
zGDDv6jc;VFFyxq5f?h8g;*;i$?xOvym|iZ6cUvcdxC*T$N~j@ROEm&E8nL7NU|fmE
zRT1RHF>Fm`H$-yBk(aCU9N3v!D8wr+icXJ-rqyHv1ShCv7eC{|QZ%Wds7w@+NA<q!
zq!@tVZtA^?Z9K@XYdD#BRt)V)i=&Mn_3>`9^>fQVUfg;X#M|pEjy(=~ezE_pttTWt
z*3RZfE%ls3fsF)WjxV(Lspuoeoph=pPXLZz=2k3RByoHOdnNkx(9WoPMDv;;O6i@^
z2|-ebo;@G&G(`_{%kIzf&I%#4_-Wpga%p%8T{+2rKo5f?Lv7h(!q}U0&gQt(I)wb&
zbmKEs51xX83tT=Ta3KeIU%w%XLE8|4a$Y?os!%@loEF9T4F^=6gyhjmYGm@Bp`xt(
zx*$DH40&N2QX5C)*ZR!0C>WyRK6&&&aiKUu_P!L-ZBW3{ktm;wgH$YueZ75dQUW45
z`n(B6ia1(VFZ=Na6%MD*i^l0o;m=X>QbD#7`W|~df5@(fD@GR=c&|#M#x-G*@tHEN
zU$~*bMA5@3{mVm5e`L_l{~+~nt_mQ&RfFr89&)q8(lvc$(bs$<!J$|c54<?6Yl`)-
z>vHsOmOpan9NOk|s!|OJ#SDYWqWb8y5DeS?Mjp?9zggt0QAfGvDupR(ZLTi4emHVd
z0Y$fGEuv`}5cC`{oZ~To>w>2#^{^t+&XZJ2ay60Z!F6+E*4q8r<(zIdRl=_duBh@D
z5<c{fpBvd`h>RBQxnF$B_%87D8+DTwe($9yDoYq4c*APNw*h6a$G#kM|EY!f^-M=;
zlSXi&C{SXaserxXUX068ZQP3F_*l_m4C-zBRKH`Yuy*z2@_nU^bqk(#?r%&$z4Ruf
zM^+6dKfUg{_fZ>jf(N3O>87Y`nkee0tASXt?rP81#zMUEI=dP(C@~)!ir%D-8*`CH
z*W9#mIOgk+e62a|)1K;aRjGqTwy;O1Obc7gELrDkEYOj}*U>Mo0a?F89@_^=cx0xh
z|Gn4}UsS6VxVC8EN2znU>_<(UDLiH%c!$71#KK0aLmC*rGZHEqtpPW;v6dhzP`WeL
zN_4vhlpo)6;1X4bwOqJ%Zw#>Qbg-m=vIc}>65X;wRZ;Zh$y9k85J^d{srjG|3%iuB
z{Y}as1zHc+a$AA2N2|APhdMlW9q_jhR6^bOEq@296&ycLWo1^Wq3&R8i~d#x{1avH
z)_1Uihi{SgYkoDvmlkP^n#+Nm<@;gT4OVF1wzrkpUKKk#nWA4WNF&Rghma(!Fp`(5
zHs!4X`$ro_Hjhbw?ohyfU)c)d;(LnZLzR)w_zRn*#IRjOU+vHe(3SES4pB;YT0Dy6
zwfSaoQjEI35%9|WPjxs}5fW;t)o0xWap06!zRoq^VQe6koS=Yiqk<OQ9zNVWz+C)!
z6R`Qin{|H@<?%IJ>4`uJH;!Kp6<cKm;8&N(Z6$|p<=DBZ2@bqJs4pxLKwxR$=8t_o
z>ma4lxHI!D8!kOI?@jEmM8eiFYG{@;&V6HIIV8i1i%+=!BpX<Q<u2R(nSYX?Q1bV_
z`^Jo66)xM68y5KN%X|E&zXXhO?Ng%pnPKDQGcf+s9Q+fC=L?v{As=-~t>PvV+=RXR
zt2dcr<H=dY(E?G3oy+sw<i!NZ)on$abIhQAzeh0gq6jE2q~mphnefy2KUq_LGmsB`
z9FO%EMt;hu*rf(0G%mmY$sS+|&lGRP#0x@LddO*%yMY<$v8nOWeI|HfOM3X@xggrY
zc@!L%nBmT-GC_ARL23EQqZe}m*uA`Iqx44>*d0_B(R*c#(S_ND4i5pa`b4&KH?V^D
z>hP6RO=CplCZ|M{^MkE1ZH!@%4dE%NLHdu4;5Wwl@zD$)zNUH~Yn0#sX)04gK-LJ|
zvF8g~J^1ii)pQTfaZa%3cckrjV2B0%APa^$UZ`Jb5R~cVLZz4P4;`g7F3hd$F|Xi-
z0UK}mZ!aFy{ruTe{@ef*Z$Iwld|q5-h)5UW<-;Y-_-rjR13Xu7+-u&<3#SH7u7DPP
zp#Nh?-UoejU5HY566b?mMXr@ej{qcpi9QcKq7N58jUy{jd~iK}v+i@RAWjY$+I6w&
z<4KiQce*@3R;MmZKbR82bH?-DT+j5tRp~I-^o1X>&6JaI!XkL!6WMyyO%Im-S6(U|
z62O(&rq;I`L~(n;FK`d59_pGbSmGxHaNqW|->GCVeD}5`ZL6RnL{R>HZKNPJ@Vc&l
zxg-v0Hk;7)b5txlWOcF`3c)cf;_SWCk_dYwb2h-13ga=JYblFDD7&6;PmN`5PQRy}
z?-QZoQE)~^UyCpzn(G^7b7b(JUn%Q{DGJWi?zyH*TjQ(Pxx>6CWg)y%Qe2^pg5<5W
zd4H-z@%m}3iinCl3}}x2wbc}4ykTpK>Jh^%_k^FMoB}uto4M;NDR|#~=d}i>1n!02
zdatXZ2&vo~4;<?$I6EHtX?c?*^fN9sCje1EuD=;7fzSWjc=#6z_U#<ynSLS#hnKp`
zQm)Fd41T9x#j#c=^PRIfk}_DJt8C&tqk=aB>N5MSsnB7&pnUn^I<z}i`|&<f#iuBe
zYE?WHQn4&v+f3x}fM^+zZBhfD?5+&spH!5nx|}QVmq)eJVv5hAI$oHuEVFv);Q$xI
zmnvrk{AqEKGMCpxLk4@X@h?4S-!aWFGf>2c^S}4YW+YJk$K!7$>VwzsbCi~>61E;B
zxsvR);Ihv*F=UGY0vq#v6*-kLwOdNZ-$)w;ZZ!8|1w;Hv%HKhnQHDBC&-W&F9lY;R
zQ9ZzAgud4PFKt~aa6V!`(3Go#INtqw)$GRj)GK^mdyR{{z6@!<lypH;C~{I1H$fMx
z;I95iHMA2rtmvtWJIxAW)%vE0OgVYh++H06ZKq9a-E~otpQ_xl+YEj@0zCmg)xp!J
zrrXY=3%andP<W&{L}E56REBC`>%H%mv1fGf(%X8Gl52s&AfcOylN!(+W?TO`NgKi2
z<j7@>me}^bBj&G>CblMPH19v5g$2VJm)cGO##;;fDm^seSg7{pCld)u)uD^&UckhS
zn@Kr4H4)Gqemu}qV=aF#Jy>c6n!}EI*J*0vH@$Gng?Ke&e#^M)tZs!{dqaeGv}vH<
zwSMH{eHA$V8nS6UZiV#iCq(A9YT%0SsQ+||5^U>cK1STLLXc7FyR&)fIO)%&Ym%gZ
z<F(gJtzTI|FMwD1?U))I#_WSW>dB!$i=SLsVTJdj>M_aeYKZc>a;Dfv8fkY0Z@9i#
z<I8T}P#Zo~$lo8$4jd3i@TAvt|4l25DnI|epIHS$1vRtYX(E_Q_c(g{h!qli*fMTS
zD&fKJ-kIS_LGX-t4|nKTVY~b6l`YMR*rgs@K{~;Q<4s=F`3Zod;I~3jz5){NEevam
zapCR1h%rhkkZWE(HnPSM7p>a$ai`gkePMY%#u;mMh6Ze7ki+KG(^cvr%<%2eZn`p0
z;Hj?XHR^;6G;JS!eJsa_fybI%1&##TukzsfPbrW)!=i%H{t=PR^BpX=EiuVgpSf31
z64`$q9cEx&Ci+A6emgp3fw@!SLWj4C!!_q%zLn(?v3ud@UoWZ!c3h;F`M+ArjdJgw
zSQ;%7A1uR9Nko{VtTnwTz)}R0`X#2vS{I1l@967yelkPXejA_6Q6WSvvpH(dFA#$}
z-)y33nBgyJb4q@ZAfBZ1Pl#PxB(}6Z7cGr2#V^~-b&cr);HAkaPQ@${{Chda;s;D{
zc<W{Lavy%^KR1ZJ-u0I#sPOkV1rwaww6#^Uffw87wexC^uMnSgre?x2jM28Ld+zTc
z9u%Du%=&AwO58b6%H7OojPA++Z#7eH$kdw$hCgNi1NGgG<L8W^{Inz?%Z>|4<XYP!
zm5exZA;bQ_lp)?4T^WhH#EErJ)BcJ5V#4k+pSZF^hDgki+9Ev5fi5?b?e!)sNXwZN
zxG-RV-ugYmdDl6Rt5+v~B$*Xw@`Fy%_Zr}7vQdQeZVtSAAO0|ymmSOIB#Wzq`gr?7
zcEx=&2Y$9^5AdgO;Lwpou9c(u82wh)S?R+8<^O&xW)fUD{ORF&tpz;{EFb&uGn)f}
zbN1be3_N)8Ty+N#qX&0Eo6=!nPITP4Ci(g^FGzdtN9|Y81Mi+0k;zA#h;|kT{@KG1
z*&+VZ^=n+%@J!eLp(_{uO1x3CToJ(jqm~;BJ*ha(nL9tO&W(OK)+bqVLdfnbczlYT
z3g?@>Jgmw**loqZV7caTDeDFlb{A2=QN5^h%$67b-8K%o{a6Isz0EH7`cP0@vEg%H
z%vv4_IT*BsO$??dM5<4!P~a$JeR|shKa|-rqgNutu`inA(9=;eO!j;2WU3Q@YznWb
zrj#U>JRgcs3dz_o>-GL|rXbF}d1YeNBn4@%1ft;z85T;4DGhgppt>u6B<#KnjBMv$
zJ0Bq<hG}ZMMV2sJqA3Xjv9jRvqHcfdOoqA4HvYE_BKXw7Y8JXt9yU!vtoHU~%yvA?
zSjQrUg62=B0uLzQR?y2Z5hpU5u3A=1ZWo8f)?+!>qZHA8rlBcm*V_5?V^#Up5|}+S
zSt|Eh2|I<KZE!h9hR3G3TR9F=a0-dJ`Tegl<jDy9k+-%#X7|nZVQC0xy*|(GsEXZJ
z79MNNlX263@qF&Rb=aYGd1K!_HN@D~mA7rBU~)`5mU>JMY_?BLKFz7)U$fu4k~#|V
zZk0B7WXYo=?QNrrizfOu^dP~F3N}ZhvBoq7IMxf>T+Jk*k@A4M=Pwlt%D1+?%2LGk
ztXFq0tog{U=#9BGm3r{n9M<jdLJ7xr{kif@Ne8wYWnzBa*GCp>%1Ug7G8iL{aS*1u
zIJeW|l=B?}_?Ond{9dmD^UZ?01w_c$Y2In`InNN43gWfg&8n!8+?!*1iVUMyw;g;3
zj8Il)d6>OX4dtR~E$nOkPc+C#Tv9f{S@*dgTVJVTG~O*zyPk|hy}Tcq!KO$`e-XhD
zuYq03PdX(_$mqME$1>M#2Iu30#bb_|h_-m7>k~r8IkV^uvgQ_elM`gbJg5oIXPaZ(
z1;}{t;BeZzwK?WFJ6M;ym4xHVn(N)BbP(cS9uV=30N1nlPRTnY+<J6<F#C`;S{~ao
z4X$~L(E*9m$+;w`ZJtfmyGnxpbJ3wrAuAZ#-kbS-orGEG13BjcHIOMB{Hpu172<=m
zsrRf&5cd6Ye6x-k`oGc4`Mz2~>tn1}eU&DX^zRLNzf(r$Ss|NBMQfC*cMa?l(gdI6
z@f5K=iumgi5$L_%8iIBYTHB2^kR|f8DEyZkc$g+xigsEf`t7x)HdA%9C1gB5v0EB;
zXBPQ3ZL!9m=B^tfYd$DZBSpI<Bo3dP+x!p6)~L;;$BIv?pfyZzs6bN~+9xY}Z?0NF
zD)IaMi%*rIFKwn?vyUGfr|S-FrCFiQ&AXj<uM({6D$bg1<-|{`k{$p2t&sTA$U#&<
z5rrGQ$NaQeaI|+r_@#AL@LL**wtXv)yIW?Wcs{HWALp{3T&e>8+h3M9!Xk%V)x(7*
zg9}8L>hg-&exTy&`D-S(Wk9k1^KbL18N&Qzwhr?Of%MVUhLW{^p{i!#pPo8JxF}j)
zOfn##-E?tkRZ0TWlgbO)&qfLQJoi^0UrRjUv|*x(h{1kRI94xfh~PfvE35L<0<T)^
z9%>qhKt!jN+r(**_#zTu`s=$nvLe-Xyf`le=XqBlN5`*3hwu*1+v?_+)9lE2J}rPR
zVTT5P9r{X$42y8y_BDe@`lrD(5q|h@V^mG?9werfr>~imn!?vrMC@@Q59n^n->p@K
zh)XucE2$i&FyQBGoZZ8PDW0pk?1A5j+ulLjyFE-G=OiCVJI(>q-&|}*OvVWR+>>*i
zMaDR5v^w8k&W1DZu62a&nj|JGCU(RL8^iNdUa;tTRyb=E59!zbB-(H3{TK)|Lbb)!
za2){_tnPhtukzI|VqR=-U|F9bd_8z&rMQ`qe@#;KedY|2BfM(J;%JC`$(wXWBPKkY
zNYg3J`9tWHnV-&jWq{@WpUyk3G2-Fb>GRQz^F+SKG1u!P1K4qfqz?!);!)>^%mjud
zLZ<a~$jdZ+#OW2AmsT=hOXk@T<IT%Nom|7YRXKeWzV?vW7ta8f7>`e1i~kXe=#oD5
zNDm?kX$SKzFaS!HY26PPKxUMG!lI&w42PSJUvDy?Tg}|rW`+@msl40EbJp_q_Z#1@
z)-s^pQo>+#7c)wX8ecp#rQ&kM700LIjQBv)RB`NL!Tecfa(N>KwUqaNFGMn8rpC8G
z(U%Q6KLWq0?5Ci<VDxaQ5ECr>Y0{_VIIu@JbkD*P84TO!c{h|ZLC9A2=!u`4IKzL1
zw&M;NWxK-q!!E9QCK0y(+*fWW363!Po0Gwwyl{2en+5b60{4hTUX1^^%E{QE3-RW3
z_J|X#*z{@oiS0T82-t*Qzqyv9`^vv{9=O2<muq<mIc|bD^W~z6L$nT5E6Y!FbhBe;
zc-y7vbRmdV7_v<)X(Qvbho+VdC(2~`f9MN{;QgB5o(a;1dH8s6T`LzV*y}&%B#YuO
z6DdN7O&f!Z3I6;sJaG3k9J&s1G^rg6kbbNM#*348eUI^h93B+J&n1Zx)@VtcEn0A5
zSP7^!7eH^<7afavDRdv*lda9Kg<2`vso>pf`O<CmBn#I%G<b9!+%!bO=8L2x*PB9+
z@@~GuYAc5{`>)R>TS)NM^vlQ{76xmQL#audJPLT$k6-8_p@2)wVSKA7QY{jPe@iGr
zuD6i8cZGzuk58W44v0bcYJN8VX(ce#JuI5C)q;V-Tt(v*35Y*>{^8pfWjtyX+xh#2
z7Vh?>eYSFuLYLu)GxvT~EXW4TMLKEY+}udWim?oItd$R${8EEP^<>#o0Uf07ENrYI
zWDz~vW5&3~fpvnO^yD@FurfcY=tz~v8wLIL6e<bp9wqy2RUjkzTS7{ys{)*&Hs8wX
z(!x;J0OLw88D7lpPN`vv*j-Y}z4D(9lxNU*yM%(5ddeSO7AwJ97QqBF8S2mG`F@vB
zF?dR*_1&y8Hj0k_$5p<T1AJYw`TF(HImWv2lYuJO!XEf~c~THI`#88s%>bzjKV^#p
z)DU@cO8wR_1rPo*?Tt$`L=Jad=H_g5+{<cQ4X~#o^kzl!J9%R$DKvUtY}LT_sm8yf
zK~!9~z1`ebYl5h45`9P4`1QibnJ4Zn74}ItCTh-`!8>K!qr_Gc_WkAYIAKo3sEkpH
zsig(l^O;DeQnWB$67K!Eih?5w{x)2Tmf-c0VQi;pW7xj_y$S~feT6KaI@i2F_UWeN
ztJk%0OLdPnrw|!Cp4CJui(0|`#T}D{0&RqNH+*kv)J9;9lSXf~6>4|6AC6k{H$$sk
zGc3|1oKc^6xZlkh=ku<QDjH}bv2>@)ZcTNVzuMcL^wt`C@)wF-6SeTf-zhdnR0Vz+
zr3)$|Hn_{Ru|(??33Z+2Th1)5dCd8emOR1+2ePl7Vo%pZaQpmx-IsN6bpHN5&B+Ev
z?BXUX2Q<(Va^L)^q68l8+8Omn-v$b778b56YG7dIOIhs|!UN-r-=4DCpyouXa_hOZ
z_hgj4Gs%euU7n|Achjx$a)Y?7@q{wCZ8-F3!Yp{WW8{0ik2R>-!BP1xN>DZESU+pL
zL`>wfb@;PcV^vD_=h+ek{3r5|ed)*#;&Au)j(sUs;Fi;k%}|vG4^hLLU(!xwnC%{3
zSo6&bf9Rncw(F2=Z=k>?Q9+y52rpYK1itJEIcu<23XiO^8iaK|)24nLd3g@N?0DeP
z$;aZT_qsHaaOpekkd53skrV<RE4y@6L`A{DJo8s)a)Q?RJ}~;=D@&X`60yCnWX+Ef
z7fwjn{iIo@d>XLou|Qnmhq}mk0no)1wRuCQX`~%hpU*N|fKOqo-F*@-HhY?U)+(H)
z@y%R(aahkBh1>3S(NZ{}`ooj!!O3abl7LmR+)*<ueXjJ`dYBCh%{ga8Q-9KQ0?tH6
zWtqaL=cSKUG&2^hyE`3+e$doE**SSln4qKZ=;hNZ4AAGDQGWDkf_89M6WPze1fwGT
z`-Xy62z&WVmBPd^+C;3vLHEnXc;XcE=|RLI@yaLh+j?Sz_G;W~u%*Wc$@{Nu59OF6
zEZmTFe{_h}{gz!b-oOaKjIU?xR(})Cy!Ic@KOCfe%RDaam}Cg9ecyDPcTW?2Rt<3;
zzF%mQ5n=VTMFUvuZa3VlG)X933K~R7AMKdy*yYy;48U^0{k=JPl<3*ia;mqxi*|Q3
z`x^U4eaO9*RxEorM0~KlGZ1dqPMc04LISPyF}Zh7F#YRS!dP|AZ}e{q?PFT(rQTva
z_<T%S9BAw(a>+UiIde@k-ZJ?qVX_`BZG7dkdZUNf)|N%dyHHQtT+g<5`8gHo_52Dh
z44p(d<CpCh<7#M92~Mto+En=YePopU*GBliRkOM)TS?RXd*;dh7Zmsl*|i%6wGeE@
z(Z^DjifDfXI*c=oDHzx<@vg7x0}<2WEPGrdhc>mp=AuRo8PckoB0V=X68BARj%&F-
zq_wgv`?jt5ix7w4q3V!&f@LK0uZChU?Q~YZyi|=YxF!-0?l7t)J~pi1G<o<M5ziaN
z5k9VieGPHdNhjVA1tY6xv&J72Swr7$zYy1f#~F%w6<-Z;ba+6bkvoT|v~}^hxLzAe
z-`(`@@KzIF&!oP~@GKyvIXfepBeW3zb!md%vx?Y!Xv@`R(GtR(#czWjorDG_qjb(C
zI^o`zc&M_hoN$xcyTOW?gey8R$CNth1p9T(9~}8~Vh;z4wcG|x$dxJ@g-_E7Gpbv`
zG42}TkD3h2=xq&%um7+6u~ik3`lvj%@4vT1xPgCQ@R&LdE%WUo>Z*wMC%<;wUa2EY
zQzOHR33V70k@u^HRTGP*WqG~n?}#v~S7M<lYUnln@K)8khG;**agg~;6Jc6cq?Es?
zip#1BX-na62uoD`ZZZEzOx!lTP2Ho4{h2IPMon*trLD<XZhbApr74yJqi<9Y(y}ek
zc0(Oe-gdIW^g$aD?e88^Ojdzd->)mq|LTd$&LRK8qS}e(I_J@dN6Hx9(l+8U_Kqmw
zmgx<--$~?r@~PDqQHDnY^8|}P6Cs#6p*b_$P27rFbT5omLea!tiRm-V#Frm5QPPn<
z;(q`D0RR6Kmv=Z7?i<E!vYo?mZ09(fV~;Z&^E^tnC{z@cjEWRRgES-~q$N_RWHj_`
zXp_f?ij<kAL}r9gvVMO5-q(9Q*Y#fS^M3C8CRW=}hD5X=|Ld*G59FG7w}<)G&Cxq~
zX7iH6)rnMSJ)APrn%>M)`F%_2k75@uD9?{iUyKT|&0B8<F<W_uN3}$+R)6O)6y>?n
z85Bqp49nXo(#~74)8t8JZV!*tWNzcHNP#;oEeUB79XzRNv%+`RdU=6y`>K~*(}bNb
z1138iKk^!sl@|W>^z+=cz2A$nG(kT*ynt2tnOAClu5x+c5bw>nN&JNj4R}{#e?la_
zlQ;0I>u{FV2+xM|xVPk)I<zLrn$<7u;td;2q`78~^3KtBY~lS<gB|Z;4HkZV=j~Oe
zaeAG`c}HTUj{4}T!G2a<6|KI9x0Tm-e+^@TS5fpmVPUH(JQ^1la{SQCqj7kaJyugZ
z^4qU>eDA72>9b%tVa)+v%52+%kd(i?%iA7FW-cg$fJ?Fc)q)}3jIB6%lj02Tti0l#
zE^lRMTV*9ijvV2+`fvL!H9W`LXx}k@?XD77Hcvd2e=*7vuk5~Mk-`UmKYvbhBPoHo
z(zW2SxN%+$ofT%~BmjBsTl=>skYRFk&pMBw37*CfpT<6}5M;b|9(p;g2=A_cdqg=r
z#XJ8fc}LI&5%?r<E_LO8MQHfWe5m^2FE8TRYQy;|F(7XyWmt(Qg8k9&r43Otyyn>;
zv2R-?Al5v7Ml6p6YCPH89X|8CAaZ|={W@vjiDx{@bs&La*5#bTHGGh}W$%w;Z)M@|
z?gD<-1qE>Af4NQfxB#e~ld}ANi2yXdmZNj^3UD=0=+WT>AxNpp4|BOJ4_~sT>z(c>
zzz_QzXuKx^by3UW@;XRxjqEm>wWy1y*lE_PFM&JBUW7R}C1`Pmm0ryXFtF_Y!pS!h
zz&RZpa#cVTYH3Mx>Z&9_^6rwF7t+w!UwEfsULE)nOUY7MB;Yq)Ql~8{2gG*CT%HyM
z>;jg5>~&TI`o+0M-S-4|mRTIA^ot6l#8+pcmyuy_RLHs$?egFu>38H_4-E=cmb$*p
zRD!_;#kXBziXi^xs@sAP9oG9=Z_8V%0v}Y4No|c(f<t;-YPE+hl$2ZbZ46g~Lani+
z0fH*5GyPN`QLPX9buDq$1Wi!)(fa8AOC9WfsE()j8A0KSlt#%a3hc~MtUNDB0qKf0
z1wlzBkmk7WN>Gay1lk&=-@8SH(aLQ*X@jP~lRWQu*INe`+Q+s?MAG2%+~!sG?o61y
zrlP9vtqa;MYpoUCb>M=o`Ia*UEZBJO^pV)F24LAUDQ#rM0L$wh+lzbH@T4JBZfm>=
z(5gLOP?&n4?^R;b_Ll?wZc-HH2Q&EITvpnvYXFtw=vw^79HQ0}TdU&OaM6FvK1|LC
z{;OuNCEdADR-bob`9>~m-{)ELyu%oz_olwI+Qfx#mfJIK@3Mj|yFI(S9-6=lxuVsF
z{+Ppy*w?%C@@!$d^(<-QdQ(W&_*)evXb#&(Ha!2<1@O>8XEwFf6x8N+vKU9$uo>N(
zF<>eDHO~8@Kr(~p;UC1K<CyTEWT83x{xXQ&7NnJ=YzA{zqX|1iO~GK0(~<br9`>zx
zlb80@6dZ_K2my%(Fspk}rm|o;96A|Oa3s(a?1>K31I0QJc-+i<yRievZO_+_zhMGg
zxmD+vywU`-ai6<h;SRu%;g;WwH3o&IAjRM7ND#)Ul?)AZfET9sZ>G8#0)6dK!<MCD
zz<gHw#7@-#?tN61d-z2UHg;4VzY#vbt8<yKR4rN#3DDTsu$%$<8;hGpBE~8Xrm0b1
z$SwyFIWIx#d2M)}oqa)MObFRIXHE%**n`v*DK2`L3dt|m{!BP1jfpYma?jjd2LEX4
zV%8p-;4!+pN3(-~JJU8yRLm>|%{)fy>ns&`(ZBmA?ohyH0(o|$%Tfr+X_sGUUHl({
zFS*hjMSQbTcbs#@4ya-I{)`|3d}@1iqjU`!KYL<?w}2f4`IKBuKO+gl<F#d*XUSOg
zj@5KB0-*K%CAZTAVTf9&)$d=fgf|=0zW3Dgz`8=(PU_Gs?^l4*ewwEeru65WA9`yG
zP#qS?Z!pSB3}PfCn<}ACI&HG3&j!xtsz%@SYUORRQeRp#L&k=weP=x6Y@l$U{JvFm
zONHUh4SA_$WSo?UJ|pjH4X(Xe&048L70-0NpSi}9@l#FEeTUOlpeT`MaJzi6;&IdR
zmmi(TSoHZ8Ik?{vZZMyb!oSZ}P_D~3%}~fVKeXqgwzDNvoe)qQF676m1;4g7DKg5c
zk`(roT0r9LsgfIMLdYzdd9qrDj47XTo#S*ZfUkTsAizizwaQ=l?PHM9u_)t1N)Z=4
zounyR=a%5GNz;i0KQcO<(t4|5#09_A;rZ+)3EcPQ`vYbn8L1qpn>}UbV9@7b{riU$
zuF2{6)GeWe+A7X@m%Yq^<D6Rl^@|L$<DwSwk1OF%FX=57;~aQYQkUxeO%??f3<un_
zl`-}vf79)34xEZKmAv#?4o&uc_?Fh8j8)>2or;bepuKjJ@4iDoqrb66zpkmE^(Rv5
z<vBK(J#zc@{VWlsvmCWLQ&f@Uy?ijKj13vFGfTwd<Z+;Q!LsO>8eZA)@R9n_#q(_<
zq&>k3Xn$I{HvGIgdX9Jfec{apBilHEc`p*Cw@U3{)M((nEb}MBMr^3v)motEtcdsK
z?#Zq=tck+4rg=mn8(xIGero4H#`xLE8LA!yvjW{XmHce@s2*?#+>}t=``EkUPZX@}
z^?aT(!-D7|LR}x%DWj8bUS0JWDkkI}T_L)7e*Dc^%HC)dtnjTrr{=AN<|Eol?+I-9
zeXm=`C`T1T<A{E$WEy_i>YjVXlnwDKx?-Qzs-f8$v&s)&X()M&l-%OahTMniRvemB
z$Mz%29x8>}XzO%iIXRmR!FAF>R_dDQUgr?#7N&#8eYSNqeq+ORorTK^m6|xaE}I&w
zPsj2y)?VOp;P|fCgMJ|tyt4gAyl*!hz2jock}h#TwL*;6AxTB$fvKcrCm8ts>qF{c
zqB&f0d>^BBpNi*~5cj(2>*CT<gUqTdbMO=i)!)BH3vKp%J?V8{7rPaVW0UDzxL+$^
z#Q#?d?|Bv$Q?&H3H&re2Rt*<!yd5WIoT6do5$UuOF?u+(UQ9GM+yeIht5IyEX`^Rz
z;)BxbdU%4g|Ii9GOE^BVo8SGGHnLQg$E!Zk!^dyPW*)7UQ1ED8@tBSd9=aLbKYv9J
zwM1n_o@H3UxK(NA-%K5pNp5f48>ok$nwr&ooUK7Leqsg&bWlEA(&zcKF1r0v`FfGh
z25$OAkW38eI6Rp8*KUh0dQbm*Iey0m7)3Yi`u*t0j4<kY{T~ArW0xH&U2O}E?ff$n
zJL$N0*LD4v7CMGVRXOh*u?1gZYyHNE#W{y(J1)Q1LAj#*q9xHhI2UpC@{3h;Ty<#E
zrKgpP@5MM|@vV;sITnYPtyZVw+meh6LfJIzZponTp#szewEpRA(!mcy>KS&Mw2)=B
z`e4LzfXvzb!_^TwSl1=;Du71ClMidR9a|4DrOXf=n9@ewO>5}t{hGMlFu3exC_vV3
zOYNd?ZLA8C?#m3;z+Y3jz9$#;vFh5pCCxPKS?c`lGf@p|s?V^GEYA7ypU(b1eHv1&
z%^vLSQO1@ByF+(70$fmW81;|ULPue@ysEEc^tVi&4%G$NS^Ky`t%i!3B=hw|F-1&o
zuAAH?2rwPr>7c%ZiaFP=<g{#7KuJ%#<{c$GIMol*hVB&na3wwd#&05~E}@6!Iq_h`
z*Z9+yQ<@m&nmkqZh=8pPr|D-t+CqP`kMzQ04J><E_GI$598MYV1nh%tLD)5+L2s=(
zQvV$_^>{Cf8vpg%MGx9QNSIi{brChpn$8?jGLpsKrzeM>hS`8e2OM&(Q^90~>l1r6
z%Ai8v=DWKGt)a#0kJO3_%D7UvXia0OG`3Gj_&0?v^7&jtNl20sva~f*Q&&l29m$*A
z(qje9D!b?3rI2wz>iG*6b5S3tJ?R~21;njuC;`_Lu_^v#VwtBjMp3t&k?yjDM#a&a
zN8gjsa^HDIZh<r&;3%KJxXBWJ`H2Vb)FNTXfn37@0~s7ROp#COv4AI4<vh7$1(aUb
zd2!2k8BC&(?QFMM0F9bvsw=F3b$Vyxmu-^8UCS~KFn)8PIW@6h?Rj~WA%<-;_#unu
znnonA9OT01niXNXj`BGB<*U=nSUDsTLjq@IxZwTg3yCZtk9+(<+=52H2fvU1Nxfzc
zztncO<^CXIRkqVY*B1hQ(>AZnwK0bp!-us7?L?e@!B@Van23|lb-m(0ap3EH9C7+g
z#KQjyVh<+B;~klq%A@fdc$$#ZvF8sFL%r|FaTfiW>*DGuOkd<o`Kbjrx;%d3_dSyp
zM#9Qjm$7wiY&co@O<`-8JW|=Nr(f<>#AH#uqM;Nv+&?$L*<US>r|(C$&1I4C&44j#
zEN8<&Pk_9Yu>#(;I<hmgRtY^LiDTiSY?w58O^v**fV<2&l6s;lcxdXh!>T40INhPY
z8UPZm`K_<E(pME-srKEz`7BV*h{%ZPC1Kjpuivpu4f8%W?p2Cs!OrL(HvN|rQRvb9
zUma5o%=Wq;Y!=9ZY0~v6v2A2*k5Rrg;iri&E+zY}^khNdoBK*<9hFerdgrGl+7zr)
zitsaZX2E!Phd9$*d2!FAODIzm<h%T6KGB^8@{^y-w{lgmx+nCt(;F%>k3A{W3}69s
z=Q2W;iz;pqVLrCKu7#SH>*H!-S+MWbNtw=YH4K}|FW8n$L-DH2c~;Tlz5G1%bT6sn
z-pxB2-)+%GQkhw+UKb07+_E~vzG$G&uC+^-IO(8$lVG)r9vjsBe4{>|)<mdd>sV;f
z@$Q<ZxylJ_$ll?fF>6D?jk{uMWd6{xLdJ(SF~o+#{lApY4pH#tfq=P}6%6co8)`Te
z#DRL}xqni*R4f<W+rZhUi~q_VESnhSK&f`mo^%&2{AonaZc*36r8h<}_?S7|?M*D4
z{G)|_6K7w1y{U&gdfu(~G33J1A$7IB%QQ3z^hi9aqL0;oQYu$<abdj0tGsThHeOxe
z_R4P6$BO|?GohC);Q6HqcH>8F)cBb;Z;+{vmaFw!<+oVElgq0w6GC)QgmpATD_tK)
zVN7`y+X^ggY^<(zE%I~PH;wMEk2}7YU%Vt_4H@!3tMgsx_+B`zIcHuE`CN9^lA5i7
zyvldYrb~3RcHiM@7paF1%XfXx%CUjA19|#!AL+PSDfi;8hq|bvn|q;mk^fCOp2Pfe
zbX+r&6isVl;0+(f;Gi%M0;1M(j|(v{@p<R$`xkVqIjQIR@hT6Nt-hAMYLt$zO^#2-
zoY%n}8yGxu1pujp&R5Hjj$63;A4OJcV~kw%DpB`Eu5w5j{LyseIOeIk@zF5v5*erV
z0Ejf4SluN<N9xn@)D2gtI5V}dE$u8om~s5V=Tkc9dEi%+ogD@5|93CCtN@^ltM?_A
zPX}Y?$pV9o8kj%Qe)wB4fVIVH#)Ea*XdxQp=F3*Ytp~2Zyq*W}AkxOKv51CK&y#;D
zS1KdRJ8MSzI6&3ObW?7>7J56{YmsBgI4G#C%nb(!iCFj<uBnB@$2y;DwvtdcisHG=
z9^lv)@s1`hDtgbI+Rr&DkDqO3PfW@KJliEyaxsyDV+wTn^}h*N*=ud&@|*`gq@wFJ
zk2O(l^QV7qnR2KZFFP5s=nF>0T}Ex48hEV9s^e;iEDmkFbpPmUTd?oXmV4l*j(SoD
zSKR88##pa={WlzJ!CFWvK(tpCf7|a6H`pqL?nho(U3qQ;q5>8J6Gv5W|A^>PLl;TB
z9n;qRi)jOQ+l4!)EtK&TO~$9_hy;3O_1Sk9Sp&1)@$hdECETKX?EZ0a3B21Ia^a+k
zHRNx~A(##;VjQKVPVu8S#)S&jcAc;So>JWYW5XmAstOU79TdmlXAb_Sgsot(czN^&
zF%l-6zPYrIDS@}Ic|L*zmaxjbJ+#?I0Zmr6w6xuoz@_;G8+ZJ%fCvYQ@x63;JlEm<
zvO7Q$_piJ#c6_%5$mGrLzqH8J;wOFU2RKsb$S7n?OmKnERX>stOT_NL8vA69G%kM}
z<o<6j7p8%>FH(_+^a~NcHP*>s)Q!5Kem*X&Tys>P&_F;9f%|S7R?4FPh9z^t>E>{N
zlNsfhO~5n$rzOQi<Z!m-Yt~scbLdzQm<)|2Ai07ztX(gMO5gjqpYL&Cqd@;)%WeW5
zG)@scd6|IxNx_Yp?i{EzJQF{iK)||mmjLf$M0`Lo*>n3R8{}l?KdvbzVC_WSiffBG
z-Mecgz5OH`4u&NNAMPSxFzH5jYk~qMX}x8PTC)Lvx?E5;CgL?#^svVT5<b|bmE=Fd
z0#0Ud+LufsmfEY_POV++eZlpiDTOR}c4SGz84-Cr8ang+pMVl_hpSc$2D8Bbmz=sv
zraUgwI@Bw^N*Q}b`JDv~Sx|lb_UAQ*i#}_2=CWj|3bu=9j0MdyVV8|*mE~6j+~c}t
zT2EIE1(o*jZnrYQW<LG$!>c5`T_S$e_pUll@97duf5-&l%*6Q9{fa0$c3qaDqlpS@
z=cmfAGC@u9fT=+U8TGj8?Ce=hEaxWaN}gvz+IC{&#~>x-^-gR(u-F%b!dZnL7nzW=
zytQU;j52B`xVBAHQZco{N+_&^36GMd@1~zu!Sx~u)W+Ld_)1mns$)G9#80e<*!oTt
z6WcjiF^e318W6~R_lF4uyEnNgD5|61zgYIr8Ew3&`grF6lLecC*HZ1bYhY<{^7or5
zIv5rF+jPqz78Jal?zp@~6W?Zr72b)Z<72Y?CgHCvpwrg;*r`duzC$O=0z(-nGJbJt
zg*zKejh5;?{!GEazw;isPP%9#u`V{NkqxJKpNpFoeL+TPTI+_g9<J<4as9H11IM((
zxi8oKpAY+vhIHuRh>2`)g@`$Xqzv+VE7R~)c*0Y+IDIUW$>$GP?3Ltfz0yyuG|aAk
z@ccTT0WNXdT<3b23*yWRar=|C@#J$tZ`%d~jImSfjPtU9fA5HoB+PWM!BOVffinj9
zy(=r<#>5g>TYd`KG%otWha}yp90Qa&v$MiX-U{MkpYRp=($QqTxF##y0LAazaSWcZ
zf*rfbHb39dQBGC=6hYho-<9fRukW&k18bhyd@*4l%}w^_i%5MmJKO8;P-z2Yqf1ls
zVi@>rs2YA<(?e(Bf(ZRATWIM#&)1g6z>hWFwyz3x@lNtO5u<fHXltFL;0*@quarwV
z7{@>dK0QLOFo46YSACnZ7&zY}w|vHcjt4m-&tz5sv@E6bX9P0vx#AOMDr%!?;_}&)
zOaR@38I0dD44e#b659ea{A44P?uY==#gUPu%XFMNwstG$Ar;SN=|8Rf2GH@~MT?yR
z9XH15k4NfL@Rp~^e}BdRVoHm$L!)$1S~HpXW2FX?Z<h3Jo&dOIof0zlR2%<r>&ry8
ztK!~0@x=rE04I8Ne4EE<c*6Ykkm&;@>@MHUDSrnbwz{&STWwJvbLsVFDdNR@)~}sQ
z0Msez%}mh3!qS@;yvG)Mxk;7;`Ou=@-K~-+@TcO2cxEPhlz=vsCC-mr0Pteh-%tA}
zD3}pyyxmL=R|-~tyCDq_**y}?$kxQaj*Q;y2pN==FY0}Ko(FGk3jO*Sqk%efuerg$
zk~p14>C%?v!Fa^$hT{!tcq;D#>&mP+w)-*bKOMA%yK{z1SF%;{w)w2d=*}hh@WJTC
zmqRwN*L`6swNx3+V$8es-NbN+N{~$Ru>rmsWzpx0z20eull!KlqIh5A_vZu8ts%Bm
ztm4UnBA)WC<u=NQ;=D4y+e5lF91O79U(!gz{CN(|;)e*v1l|F~Q&x~*_I!}{bdhU=
zo7Wl6ieRMW(?p;7#r-VKjx4N_N9EFrK@E3N9C~jY$-mta9u~}|JnJLklnu%FNRueS
z<z=@rzFI(Z^tl|OE)hH1?ro_}5JQtg<iCE4``=}y_)O*)0ZaI+wEZ?LLH@rhhws;O
zA$CQn+sK?8I{uBiowHFKvuE+;Cr2)f)$6l9oRGudAnD2HM<s9|O=z>!OLHj6EBi5K
zDTjrB+Q#0zlEl_$Ezt+v%)$Ms`-*k*vS|26qT!&CG=>F`R)w~4U_rdK-tL1e+PmyU
z!+SFLi&IFS3FN@Li-e%A*Rtr+6l)N0Ll&!JUeD~BWW(=08@8o3%i^<!*O!(ZmqU3=
zxloyOHi(CZR9*Wei~SA%wduqW7H4G}$t~tp3xRL_cPVl>T@DXV93WzoPsq!f1{OpV
zo$hhpB8T0_-wJ3ia(&f3MtgiT3$lkCEsd+?usG*=+tpG9)W3P<;w2gjmJffN)HWmF
zox9|+cS9sh&T2h;;v*BB34KjU4+tnUc2Z*xhm7k&9>%^t$AtC&T;oOEh*<DDq`>Q}
z5_UE(O?$td39BQzXJ@B~Sf;x{Lvo1<cKfqcJ@l9`JKQLs@K7F8+bat-PN|}2&H(2V
z9}_mRBJCqn6!687TYK6})X`>ZT_U&347SKtq%tE(Xw6x|(EXu-L49BPI1Of?xVd6m
z^mavj-*|7#_q`_m_n;>FNtGES94y;y8&AflViMQ6mVzy<r%NBaFawi%`MZ1bmGFBF
z>u>&ZDyptfxn<gJ2G=(2a_Ii7j3$GW`V|#gsN(CF2$N=zqE=`osHciT=>roLwKTLF
zQE{5nVuHi9HWDFK4OOjI1r0ZAW4fe<eZpoYeAL-xJv5_^{?cCamWw%h16A_B?ouZF
z_~w>1W2=eIG>J3YMi%q0Xwwq15(_rSD%nVgQt<VW&dn#L7^pMqJUg1X=sR-$>uXyn
zSdf~SDLSc(LQ&;u{Az6QDK<C~Q%FUhbKd*nd-Tx$SL^7payIlBkN*?euZ8eS*>dK&
zK8hR1l)6W8;J>NB>yvIY9Dle_IDfzZw-A?QpS3gxYkn(*5LInFf3)c4ePu%|Sl{e6
zCC>#V-3Tqh4{cnwX6O?$!w@YWpPzAD;6k1AiZ2`Tbx<>JgX*^?L(H*1Y<qgj0)&rm
z4&CKN$7==D^w*t+_(V}PS@Mr1OcFdRT*v5G{cH7M{riUaGn&(`K5GU3p8tgV_cD+r
z8dmn+$q*&p%3ew4vw_#I_#}4sG7zK|s5kQrFkaQzB5mFVY?87r?&Ij<=#9p$A0F$Y
z{CFSFY}6Lk5h8_&A-dT9<6$2uTMwVOSp3R)%Y)bFo|-7{(#5rY5@IKo>0&b7Sh&~~
zz~1&yo5y-x9K3b!U4AtkKm8EAvhoT*y<-49hN6pJKXvl=QFZWp{4M3FUH~1#iO=h*
z8F;1slB-`B4FkxbMjKV^AhQm~+LkfUEyD9H-wi6-Pf{0zZ0*1;JUO$tfQ}1y(w=@F
z&_str0~h%{?7(>ZXu_tSI`~dhKb#b%jxUInb`pzvlxvkNLsbWVL-!gJ0~OQ|?<4#0
z?BLGNLGdIDZFEqxt*+H3<K`UtgB=t*xNaFQz;ULb&HST7rGW}~;M>G{oj(9k7oul=
zcxa(z$r~g7K>}8HHpmB50i<mn6H{14#X*i0*`Pue7kj4F^icrfrQGpBFA91$?c1>8
zg%s+D+JsgDfU4BsD-B;wT(CMf*l|r99mxwKcSd+1=2ei|@k$+?>OBs!6~yp*_U|%3
zZyr=x+kO_FP{mD0{PIbXBIvX#c-g;FTNrrR6i8vKpxkkNjgkXGm=H&syGU5<eFYx=
z$1;_$BFKMTqQ4-nG+lLUBEkmJ?Bs0=#mIOyT=fz=PXHHQ-`lXd-Wt{z{V1X4k#ILp
z+MtsofaF62>t=>EH0*b<9`shgv+4&!l9UASv~y6pMY0v7=7g8|=*eT+U%h=EHUdaB
zn+q}+w1k?zx+Z%KB7Xi*v+rb%0G{(4R;77Z!WCW90xpw)1J&;%26P0GVB32<?vVw2
z^}nhf9xR7#oA-1XcM76KD)DKomIXMLJaHc=mBqbpHs)_D7s5GTDdV-LxnSU_*_*2=
zi?%zQ_B|>WM#Fz!1Z_pR&~hiEymEyMUf8ucn)yWpPxexNt~zKA`hsEQI+@bwZS+#S
zOGyk1Oj+BW%y3{S`(m(>;G#a_VwVxM1S5?91e}iJz!vui&8h+^w9aiFeby_EkL(OJ
zg#<X@k}}ma9W8}Y0^5%ri;+Yu?zJ#WW5WmYJqFrQQkeTUFDa8MjX&D8r=3*TaI-c_
zzd2h9&#GN$7#Whmgqqp+`~G7=&u9p>sb2~Ox7Mpk49X&L%IfQ!6AR=V%bs#JN#m4N
zm{0JC96s2(Mp&_*3I78C0RR6Cmv=nZ-xtU2z4zXH@cH2LvG@B}kqTclkQG8oLsZHr
zA{j|m5=v1j`Dw_g&q1O>R%N6}6eU6-qo2R-<GvpEaqfMbbI*O<=R$FX#%@M_RQTs@
z%+4Z=%sHDX1k?2(K1sHBxQ!og+6A(6Qbe$6OPR<fV?9twGq7m)5<pLOt+I>3qPYJX
zlepBBE>tvLNa~poz$;X>xQ-ezluIdTV=C1JtEZ)Lx6cZq!Gj!^FR~JNd3oJEDL@x^
zS6k9EjfHTxtn$9;0!eH+yuIIovY|7II}ZL6LR!iAyHOo!4E6hA@_vm5(V0GMUx$Q|
z(W`bMbyx;(XUk5D4bVW+eMDZaLj+Y1@g+vwkVA6J-eUvLXkeIV@NK+T6s1(%_XJog
z;Fg%_G?6MA{4Uh_a(Pw^d2>k;@`NIyd}reOdo<X~7$+U4EP>{0dgOI`CB(fudmU?O
zaB5Ug@9};~6k_$Y(%-F&ws(&!Rrb<g&nagia=R1;#u@mWiB`ech?#Tl>omyR{CMoN
zl?=MPN*tBHri#0B5;qr_>O${zMnA@OS>(@|gX<k?NF0qiG?StW3l|d;qxZ>g%;g)t
ztdg*@@Wqwu)4Fgw$DcnhT>*W9yykvsYT)~}GMmM{dNB1iAh!R2B4!&aa?H7EqG#By
zwZDJ#fGhk7SBSe3p5AwMOyM9Iy*{&^K2W3&9J*{yW`r^x7~k@?>o^5p2P@Hwy$v8~
zKd)OmSp|iu^Os{ow9xgeuBfxVA&CCd_#`B*iibsRK3Or)#<Nxtk75;#Kwx&bB4JGx
zD+B_wAM|VEcOAa-uFA%6^pi)q_>dYFQWYQYI_ThP$%O2zp$Y7ZvvK#nL&8HwIhTH%
z)WIR9aK*4)rf}~?ZgozmI=;!vny@*bgL}AZi<-}v!8SYnlfwcU$fC2HR4=B3LQK-f
zR_>bvv-iCT|3VFnJUPGS6se8L3I`eN2P{BPWv!%$T@!0JJBYnKr-c)m%V8dimN0TA
z^M55ynz)S(lRVrhm{E4SJdhEf(Ul|FAzTx~gll~aK5Amx;ADh#G=Pp*qIY7TCK7X>
zWd?OLuzR~^yUG|qs>q1ZDXJ#MT%8Ye+D<|yo@=woCRSkZ8ai(GXy6xr7q*bys<=~I
zpsn(x70420tOHv$@TN-Du|YRw{8(L5QG3e@EJvkM1+J^3yf}}#v7;hJRJ`7K3$1`X
z=m0~|I}(~K@`v#h$YH2K)0F*lD==9tS+D=8hJTvK4u9WBVJ6MFT;P!vl*d@*o}E=i
znU3Ba{F}v*Fm8%j&bETt<muB9qbkUP7fZQ>MbM4x(`~=k3RH|U)Ad`GvGZG$SiYek
zj>q*K@h4k>cY3OYNx2dh+)-XXe2^E<hP4tmCjjn?v42iXQbaRp7sW9OCoVqhn%`Og
zV4W-PpBB2&KkJf@^@~|iUeWXGE(ZWUp@m-CTXNWEL#jMd&x9|e%%r)-324Y#G5nMz
zg9ndCJuir0KqUbg%T#>=c-9)0zU4{bS%G_JRt~PwFA84#opst0!fHz!RqG{CC{44s
zVfHUQKG!slq0<7GcJ%fc{}V%s-&dRb&CB$V_4yb(X$yFp-m2ObB#Jk`csHNgy+rpG
z_FatHXAZN1Yf9H=gz-(===ePE65XtE>8)>r8SrjxEFLQq!g8_YpV@Xx^r08^ahZZ<
z5Y5lVCUamTFHeRT41O-rId+(j?B8b!Z_M^x4fhqmX{}RZ6Tg?~yq}TBxYY#ybJ9BE
zH_nIt3whlG+g9j%q!{kWs++)Q-33;rExf4vSUp2|YL&j3>Gd9ybYsXCJ>C5L2RD}Y
zY!;4dT&Itf<ir&IF@pIDAJ42-E>z0c?V7Nc0WXrhwzviw!CGg|%&vY;RBOy&SWIBV
zs$OspcxMRD<xFlW$#CM%f9BtcYnbq1Wkt*Tt%k6T!uyVt$$<+8-K4r0SdhhfaZ_!p
z0r0iib$+06;1@|!!+Bp;yq<n8Sj64{?y<5ptgN$RL=<m+SRWf&87a3fztV?5O2_Hc
z-|VQPa<cED9|z8xN1DXB=|hQPFT)pM4s6#@$xdhG!e@KNvv5QYE^fZzRke!)olSd`
zTw1ts>+y_FBS-YW$&YkprilalSl^n-UFSu!z%2pXTpPNs71zRloVbu#|0SV_9~V|?
z-yJQ}1^(vON&Xvg?}+)9-uNhhul@R7>~_!vKFj=Hn!{Yk;Nm;`fI$c!+?!P5pQS<R
za9U5s05{g1zj61Up)j&u<z64ZN`uvuoiyPU9;|vRdQl}o1hX7T$y;1$&?0S<5pT_h
z4IXEiS|&tM@nwN=11}BSK8tn_Rq-R^*=r8*0phqv_m%m}E-Ea0q(<E@6+pM37sX%y
zN+2WOSqAAsDj2h5%+@3bV&ng$P93V0LM6k{@rXlI2z=q!<#<8}Lq_I_fH)Z(K1^Gy
zcA~-^`2dQ+Sz#=bs?2T)mqQ*0tBQ9<R0s)<(zUxKf_KXXn~N<K@TvN**>wsPsH*9g
zi7`>Eew}X@vt1FJUT@Vos6&P9qi%&ghT`bMnby*9QVB`_MZe7eDu`Xu<VY%&K-Z5v
z4G*i7F>m@>-Zy_Llz#g5y<9^I#jk&4F_>3D<FV8*QVtc4HE72gyp%?bo`&>bD>bz7
z_Kp_#Km~>yKYr0q%VM^M1yf}{35y!Hu$?fbL7z>#`Zia2oIBAq81q{lD_xUSjPBB)
zzpdN8pilu{oeLvdxM^b1n1&*ci7s5TmWWxstcX1+M62>$GS0sL7n?ky3q@%r=Q4|x
zkfE-=L3NpeW$_EcqosPV^X2(ajyuZu!}(XmG))_e9#}WMNzjLdYZre;)T&_o@c5IT
zTXirqsn%^<ya6N{oh{aHRmGQ2>bAa?r{Yle>E@t(L*RNL8oB&N4f*CcYTV+e=<ue6
zYvrX8q%}9+Yw0B6(de*4zH}-UWIgzqEocJv?1zQfo~dJyPG`i~K`IJ#BpAa+zh~uW
z2iD|ipa)~(C82gIUgx;4cdo+>)FLm@innWG(qxgznM^9Cr{yqY>si2=#A9B$zci8g
z-%gg_svG-mc@P$U$rAi+;v+|c$XK>XZnwIm4o*jZJbq$~fG@L8-81izah&zma8bGz
zo_Qsc!<-I~axL3)=s6i(q(_`ySCdie7N0wdxD`-BH|0j$CZqlJ21Vao4YWPB!tg28
z3SMhWsn>gw@jz>Sx7TJ8iUmFDDEnpw_l+*r4i9Leb+beHn~y5^-tNYxT(UL%%F3F4
zuAzyvrr=JWeM;yaVjZgDZVjw2h}lUe4IHeLJAP$N9)E7lzqYi;8nErpDyOqLY8L+3
z8S5d9wxyjH8$GO{-}`DpE0u)o>+uJ3n8nf2P>{4}Y7Jk<GIVWLRIzAb+<%2%7_X_{
zdy~a!4Kb%3dukr3;Ei+lw+o2#qsV2x{cUYlFn#G{pJK2w%DdF}6fbe0Pwmy6Z5zI+
zY8QHJNmL2z=1bf3T9`3UuB+&RsukqyT_LZuDxibx`COlG>-0jOJxXnD0PAWBc4{p0
z=qu=IaQDX|y*d0}T}?2+uan-7(lcc+?_=wt*P%K3hnwkiGZp~OLyOOkn@J%TdQK~4
z{-DR4tJS_j5O6KVh$Ed-0-bD!vePmq=r5BW3P>HZgvW$v+}xTd7BwmG`JVkucQhOP
zP*7z7&voRx5~W1&N<wceU3r9ldt34m`)PBSpAl$a_Y*=P<wJ`SRv+nin0}r9s$~x9
z+GK98P652>tiR)F)JOVfUK8V`BWAEQ(x+p`OFkSNB*<^fN9c>o8<(ZQ6pn^pmbI|q
z!A`E#3X4CZ^v&<p5`4K$!IQ__c7crx`6BXf*jjy|4>kYZ@xjLg{&2HIr3i3fkL?)K
zzx4@v(h9c)rN$V()u#wHd$D1a#7DZZ_!Paxv|hwa#25;Xk}|h_VZmo)PxZoM)AW@S
z6=O4zMo^@>*Xq+vX5>}xyc>}+OMem3Nuqu*1StvA6}Lhr)SY2UlGw;6PgNGz=S_wX
zED}52*vyD!OzhSQ2Nvi_X)7<M9~nTc^1ixr5{wuj6ssH)_lNE;x^&r6!vL1Dg+F=a
zG2lN(#(_iSOLUnwF=}&(K4eHJcx|>|K+)$?PCF<5(uXP<<ich2;gP}Lkf-bn_;3%y
z>uAe0dhGc&DZ@fN(2Uk!V4wU)U%VZCX101`JTPG?rl1EJoTV9Uj11^o_h9QYWk$SQ
z?&-;QOBcrYJ;p_}8E`ZrWrt-v6CS8^+ODjx3r<wcNvGos7%W;i6ZVT4=RY}C`#z_E
zU5O0k@h1lC=YLSUe1aACbn5B#?V`b3Vh?3BfDxaaQcZp<!;W}6t33Y~6~60IFVwLx
z;r)GueX7G87;^sSWP8SjkFZ1@h;3rR!1^sJ4$rudiOW-{fJ%km=ajJKDl^_X=-lw8
znFp^t`|vWjQU{WK7QS2Lv0&$QGLiU;4_&rX*dMX#fV+6Nk8Tw!j#$_<-M=Y-K?@e|
zo&;+{Fn@&7`Xn1x-X8z=d`b{c=|4=Sz14z7XCq_hO&sVB7Y=DU3ZsKjyEKcl7To^3
z5+~Zqi3tTyk4wA|L5{F+KkIiCz@2RGW5c;oY-r#_m!B9O+`s)JZ9fIRo|9pov*g7k
zA6<@1G7>mncP`feN<g*0O^5=MHSr_tX8gFPakEv{iX{5?mn7_eMTT|<N8!e50j$(H
zq4VjVH0lR_ZOF(a1NEomvEmUybWpYZ<3g6h2=disr4wZEy>78`NnIF&yYH!26AHMg
zQ-F2uC>iY1{}}V7iQw)6+Ss{RMSQvW@lmaGGDNq$SqkM5Lj|#z(5*d6I2_!0C8~uC
z;oVcAA1cI=a_E~;v8f6Mg~d30R-}MJBGr6%h$LnePqf88Rz=BoMvjYR6ksv>SC?QX
zjhdC`6Gd!ExGkhZ>ZXSl=z6b8?YEZ2G#j4BaU<%;aB|&IhtP)k2I{`kKJus}LHc<)
zSrdEhqKi1abzn{BzeG~I0-A+{y?LTXL5*GhGA_F}{5|sZo$G%TQDx8Jqeq6dFzZfS
zMgo}zU!G@MKBXw*6ek?qzrjHwtIScG<a9xp{%GW3m<m>BvbiXnrsCVhOJ3rJdN3i}
znmu%1b%Td}C^ot@Jj-Kfd@MpAz8dpBj$2T}_mLKk=U&n<?%$p2l(z;D`&eY(Cp~qX
ztJM~+wbaGskGUGv9!3zUX!lAhSOa$%NyhI>(M9vFBbufw#<1&HzI|1aCX!6mEVHla
zqOq#ueW3@YFrS{?znntG?iACkZSfoH@B3#wKV}Xk-8GY&LMT|D$uU)|po<iv-!r8a
zmXP_U{pym07P1+=<aCdx;cCI_Q|^ld%oTXEs%LBA$ZtQN+!89<2xm7szXljg8_cum
z)k3Y<d8Yy%9h5VFGux761=bx#Y&W{KaG!mr5Zh4-&aJv-z9Lz}r=mv=%o~2`Ub1cd
zVTJ}4#!B>u+_r}9ZI<7fShdixzl}-zxEg+2KU24l!v>!0s!{oENkQKqveJ#)l(Ab&
z$|T#y27V~|98$9+W2wB-;qPPxd|-b0MzNO-WXUr)&v0qtQl}%GbC(qEpK@JVceR0c
z+WMBhmFl?DE?QQ+MFdT^OspN&vH_RVOM}~WNjP`RsC?`=KVE(1=#V^P4Q~I`d_I+^
zZg6@m<B4K6+>!dzO0LKnE?dc^-DFn52!DnI1@U$I-7kx`RxGSRF5QhOK0pb(x)_+R
zAO1xTQ1A|l?zIB-mW!6^Z3<ZZX>$C2#Roch+1uP}j}>rN(jpWN$zlAX{}EcpD+yMI
z7>BB906lKw;CqLp(QV(EyRGFPh#n=zKf}iW_6lzszj0Xtm$RSj)js}}_y!HTDwqHY
zf}0<E&WhsJ!u&HLL(@dnONG)~as<dpc`gVZ7sh<wJps9EvqX(bd#C3{eH-%6raS2h
z;+(9cP`c_I(bZ>N8MMa&dhZ%bIa~7KSEuhI@ABq|@MrsO*k_mnj?{N*oaDmW-Uj<?
z<K_q`Wo1!sG=mRU)b@snv*Vff+c)Ph&Jq4E_*@tMnu4>#>Uk+X7G(AwiQI4Yi`dK9
z>m6lg3VMai83#NVQMI8VKf`X8xMMzP8hFM8N`<!AT28Fd^&9vOmF@jWuv(F}hP^R{
zKPPMd3%tEdf6Ku%bc6JR(0aM&jFFNtu+;JV-8%D|ZW}b8r8+)IOtHCj9E&yrHyOtg
zt2=Y_TqUB`sp>1SvMuDo$a_Or6HdsJyFNn~dp8nwEN7gU{Ipa<F*StV$-TS0E2ijq
z3&|GJSI3B}m%`U&uNlC>&~{qA#{`|M%TRZ_eU!)tmAq3t24HV|P}H;VGri`>MUo+D
zgt+QeUMzM>A40U|(j@RBz0h(vS7`SzQ9ha&MxW6Gpgp;BO?`kav%^D4uW682ajkmo
z6s!lA<HzjM-23P`0f+Vt#P$=T*FO1{eAb1SJJ+sgYIM<mevdrbp7D-gwD`K5<*y4N
zTUXx&$iAe%=9{(S{@F)JTI~|!_(Frkf#o=sktVvFUcH%ielH=EdS~BQC=GVay=}fX
zSx3)dWM-;9*F*3fzL?B4PX&@ey6TI_|Iv#&`2M5TcN60kD(Qi7R5-FWdg7w{b$XON
z57T*aH$h1{{BwYh3Ib1sp7Gek&_$h#Qdr-05!Dr!5^h=Rz`+kB!goB2(6K&zAh4#3
zkegLEI(0xB3f_~|&TP3!925QX@mG5nall@EjI~G$+PR~!Q@D!w+L>mbCelr8J}}8C
z*GB=(^C#kLlpYa;+g7VPY2AcGUR-GrKLwbFl1|3_s3krh4b=_M?;+wN>{$a`$S`U-
zug#kJj7a~>o*c~GOHdLby6kf`Vf#Qs8T<K0Vm<GtJC9HwAx`*DXpU;Y{(kzg<&I_|
zZl@@(!{)cd&GAwH?^F#?E#)eDCG~<RShl4<s(wePZ(7I>J*y6zz-=bzL>n={zT%nh
z(ogW0KIBUNNCGb@hYqi~SA+~pmfa`SjXDaSOII@|!GWyHYCIVo#MP<&7bu1wi1D@O
zG)j>gfcd7Wy_#JFC;2V=@Y#>V<(Tb3F)V7pyTZAWQr=AnvF*_3Odla8jrdp@52^z5
zr>%2s*1g1+4-dcku8tC>w3_3^!z$23`%Jmd@Rq1*?(o{3Jw_NL3B0#<Q2}PB3<~$e
zJEHB)+wG&f#)<4Nk;3m^D8u&RU4{%x{lr3#-!FHkuS9aSmXV{CGJFj<?k8bBM97-A
zoVj~ql3?wdy_H5+f{*2Y+;=`1CX%`@lcPtz6LF7v&t9}rg7h0N*vd^th?uf_R;%ZJ
z5*j(j_?=r7Au}gsLcDI2@aLD?F8*|uaHYEI(_IuH^245ONBzf$Zx=qQ&UnueSEkvG
zM}`%kl4+z-N`IW#tirI{m%KnQ!^)XQ;R<m4jB~^%!>`0TTa%cT<{!d3^}p*5%nBgr
zA(td|aFS?l$YuHKyF_?w_F>y@Bo6~|i)A&RzY|h>Zw{UB`Ag`%teu`bC<mKv9cQx7
z|49_`D+m^!TO$&l)GA!Al7;^EoZ;lxvqZet{79!Q1FXdbeQH^j0m?(KrHc`BM2RWm
zyWyXVFy*F1n%}aaC;3t99Tte5hPZXMR%W<e-&ypkTpFsE1v{3U{}6cxC)=EQSRv9w
zTtt;m8ge^+{nwVUM3@UaVY3k90IvzYQIU8lpry8knRBlY;nlrA$Md;>Bvp59Ze0?T
z;=&28_BG;niR<()KVD#m<_G)JBtfE8&u`0q21shkE9*8D0L~^mz5-22$YiB8pO#?)
z`IH^H`)33p_l2FX;0Fm%3X-A7t}w%Fzk^<4k1*8H&hawekbtl&4yr3WY!H0^l5*iU
zQ8*H?D(;;m0eRzb`vZ4!z;j~}nInc0pq|I0F_SC-y0+K+ct*J3bXiN%50rv4MIob?
zD<!~NQ0O)HJzntb=f1a+CJTg(#>oW6jq^+QoZPoZ0CFVv@IH1{fL9Ni9=N4Q!gW<=
zD!;f8v|cs$bX`{j$7)h}q>B_t_DAT9EDA%}_gzA&eadj|%wJjW0BPV=wYUWwVsQNj
zh1IV|6=qa(GhTJcfQ?^>UC<T@sC-j>k60#wW~fvRYlR#HDjJu|KbL|_Qx*k<_L@+l
z9k~*JS^@rO$S~#|m4)R=n{B>z6i|QalS5fn1nuO4ZwuNAa7Q6&xNnON#DDJ|i*Hi~
z+WVoDLAoM5k`@b#Sf)Zni|$m%sw${4afHyrlmS)0s4M)Z3+LwrK3^(T2LZ>`1SYB~
zyiBrTtuNJs0b$~P^vjKZshCuk83zgeCtm%UJgyJVQU)G&9@l|U<xGQj)9SD~T&3X3
zW(bMJtJU>GG+5Z)E&TAkCWudmelz}U2oG+3pqX0hLr+-pskvGTaF_U<e{<CcgajrY
zr%o9{+)#e&_*rcbd;YrJ<+~Bw{Tpm!@X`eSeSe#8C`yIRjwXS@uZ&=9`O1x&*X9sD
z#&yH%6&1$nr~H1AjUetN!<VFf0_r^5v>P}0=34y!jx%x?LM@%4N-o3-noBOQ2i4G^
zk%@98+D{)st8Eix+pNL;dSg=mM;hoQg|Eh0>%#kbCO%lP0e{8C0`e;w7^W^Xsio<F
zLq%8?-@Gj><*Yw0I!1%3p}trbaZTWl;|wUgX$RX<7dq#@QK2t7fKT?23WUvEJK4jx
z3Eo|Q%wVHT1(whXq10!x;N1Oi(>>}Y5SbVwecG)JQYJ37*X@O2$WLTCRA>{pSTVLl
zsZ(Hgth^V~LuL?CRw?`W%nn}cqB7?^(|~v{44qvXBwUlPxs6-fLE-9=WnX;~d<ZP7
zB_%A-ZMR*JT&=K$-nyt8JFlvM`pMoOZ%tS+_R8+3`AoLp997r*AD0sFBsTHvdB%&C
z3;)ZMbh81rp8kv91?Ay0mzfWVPY7SN_gUwbT7wefrbD*&Qt)r@PPfeMB1l}V^IBW7
z0$1hSy_U_QAik>H=`<>ekF)Rm-n+vJezbDhtz-y7xMx+e#-JF+2_OA_@+pAr(f<i*
z`EY|w@n3J@Kyf_ns_r(V4N$}2v0rsF3p^j|`<Z%G9LK&zgnV%)z?c7V!u!W7M0Mis
zOAm_0vFY#d`_sOb;F0>fnIt_+?Akk=(;O>~1)M82GN&vc*3Vhx)tz_5WPSPJ2ae(h
z^UM#$Zkt1U@?sK8S_hr~k6OStesSD)DaE<>iy5@pg+ykPzR@R7n?D_TFNRi>Z(hAx
zX3!D*!qG5yo=y(#xlwsr3^jK|o@hQ}3eW4QPG4RB(hWMQd2gK;!>W<yf2Tj2Kthn)
z{;M<w>^c(Ra5Yv8UzKL2$Zs`)+2Ebqs%Dt5aAlLM{W&rGe0n1M!!u)eo=O6qgRJ;;
z&k}diM*R8mf;tsbWANS~Bx_&Cjv3yJuK8nP$R(0;CH1KhtoCd-Q61t$iL=g<wnpM;
z8jv^r!odjo?+!Ly9^^)Tcgcap8{+u9!iRQe$PhT!Tn@A&FN*Jr&iPD{KzVHkY4s>W
zsG^)btCYi!8lj%sS>H(DqcXh~I|)PB9Bsd#a$f*F14BMorb^=Qag&ouO$Km2&}665
zMM3=3Z+F7gUkdF5zY6?{Fn}Eex3`!^2%(&G)Y&N)X*A+2xw)ui04sYhJ?+^kjPk7_
zJb4~6=w+EwmocjkQEy8GxUEERDYo%PTeK|xugdX+Lc_*8aOF)rohpjw%`|FXK9Iws
z2YcAnFX}^ChNNw(x)?r)zh&9asDOv^Ivc5n^g*rlg!M}eaqMalcys%q0!D!u<*kQ4
zh`9+_UowzD$*+<Og@+Z<@F8*Jsgpho1PX@Jw@RXQ;?|GPjFfO!>5%?aXMLFQ&DHpD
zPzpu*g7%KHD&q%ZwZl|zeUNLe*3vANM*k!)wSqxq)LRiTH#)8l_4jO9at38^<}^c*
z@Iw{+t>__e=$byXfA!(2P?W>Srdno=OjW#OHoQM`Kp!rOm)d1S$m5}^D_b1)tKs!I
zk5n^71L*Iqz!Sj=_?~nxGu)1Z8Xf_hi^mOM-vyC-Y?6wYoqx$jMM53_-H(fv9W{V(
z^_Dc74n^#(&wLiU!S8YRwrRfcFoYnJyY#1Ll<+2*#;#GIfew1U>Z6|xVNX``RE?1`
zCeWXriv&$Pa;)q7>yt)si9csrV@eqxK6vUG-KmL9Uv8@vC>z7c)_3C1^Hgv_?6JHF
zLB<U6$nt@HW5`K39R9~b70-y&U+YOHW7pkMq0GxB5X3Tme|10=!%g`(S{{+nhRm67
z5MT-x48zGYA!_)t!TU4q0U6mp9&V}8H3J3V&b7g>YIwm#C5DthM$238?UGo`Vakbe
zbHI&+efM+hzABUP!~y$T6@BJ#I`qg1y$TX?rbfO|%+bWBLW8vLMHXN-<9t8%8wnro
zjjB=T*FeajdM^5GaJpiYG4iNmWrybB_cQ9K&U;DdiU0xI#k9RsMAh;C00030{}h*Z
zJk|df$8E~K_TKKbx!0b@NTE`pjEXOzGBZjUi6lECDzcK29hC<6L{Tb{os~*ONy}cp
z`}_O-e!M^Decqq*dcB_9WFw7%4@4|}I8*ws)(j%X@~GSlBqZqt?U$%m#PWDP=00(N
zYffRlChv$CV!=Gz>#KmRA5S_aI0007vWh;qK*WUp)hAy#<k7*j&q?MSz#T~uwIOLD
zDvInQ<=>V?g-af3Dn$T(%Kdz0rHZ&xd3903QU-4`d)?2g1!!qfo~_|h#FBckD|#=a
zP)%;N{pno*Igu>NChdDa&Nf8!%S)h%>A5WT3V?C$8r|>p^4P>Hd^hiwDDsKQa|PxA
z3<)xm=jY^*D0=x|x{EO0@+C!yhXXKpn%=yvAcqDQBMFw~g4j5(R{mfoz^O%HiOBu3
z7+iN;xyO?qw*~y2$)(-*vsL_BeS!>5P6v5NBLUO?1=k3_HiIpW0;JvdrSU7@=mA|9
zUKI6uGf?Mf1|KG&VzpliS8f)+&Q|3?t_5C4%YIY%bj0--X{RK<`!Vu?7{rCCKW^Ag
z*qcI&gGMVyuQ<*Z_yncRa-dK8IK#en6DV~0W;z@oh6nPjFUGxQ$4*(_M53Vyq#iJr
z<&qM`g>PdyZH(-g>?xR3Q)LX5ZKCx_--OY7Wk87|Wh(|-=Q(Xi8biF{!J4bDgz#B6
zQTVv)Rus4w|7ktb2riK|Q@LIWq7u9KM#S;0c;mxPiXV#+xQ{%Nw4W59)t`PRsc|dX
zs+h)nj536!&Xb@0_yzFdXwlCmGCTS_pCA7`ZvZz6BMr4^{rd4`+<ke19UXJRtjA9n
zKtuNwyM8Aho;Wg~!`H-t>o&$U%D?r2<B!~<e|CIWa^=WU!2?b#eDo_tG)y1#Uy!7q
zeIa0ipqb9x2p8_D*paueq6gzI?Wz~9643oke`GQ*56)k@w#;xr4{n#4-5NeZz|*3a
z6~~_QV7UBEx;Ozn&?!4q(_&4)Qo0WlsmZ*!>;9vF`xUy7b$IqBy%_;VZK|uo+zD7?
zW*#wRp$oq(OyxOu5zxy}zvG4#9}X5+=Q&U6z?B-$v_ruJR16K?a4_UYf{m`Mdx8!W
zH!m&5-6mjSWP#uZ5I|?0o<4gG9WahKupl!}z!@p->4(mOIPyNqG<iZB_VemG|8?TS
z-Y8Kek2oP5y4Niok*f_}M<;)`()yF)(~#oOB8<&_<4@8ZwLxyCA~3*#AI;@$IoUZy
zac26{mOY}{ka4O`b!?6w{WZO}d<_)CuiI{P+I^z{gZiv6OR)e7f0gZ%{Va|qH)DdO
zsT4RNdO7lgmmprs=1zR(FNyez)EHSrfe?{{MV>}N7#ga7Xd9C>iaa{sCYnrvKT!gP
zrxk^fW$nO<--tB6E$e#!@+<{<RGvg`$ctd22=mCU$1)hj_nP1990im;SSo9EMe*l!
z)K&2tvY1MEO@5t0fpZHFOk~`|&_#=%?S7^l&T>5_{H>$_o%N-o^_k-6==^5ta)Lbm
z%Ib`LF+c%h{$c&o!xFe|_33m+lmaq49pyCO)rQR7#>b7dq)?QZ?bl$KB2G`7&XPN*
z4aE~$s#SK<Sbxm6yz@8_!%r<r?P}5n(MMbk!%Q;B@y~IC$Bl$V#!uw;DeAzfkQ9@?
zRvDBVSGbvIu7rL2Zw=>^>%ft3CC@kGWzqC)eqN-AGMY{AHd8Xth2qH#{Qzq@d>VJs
z<>8nzKAU;wMIF<H9G@V`VODwkl60)?_C*yW?sbz-%hrP?F~j1@=koaXkcZnTepS@b
zIH7Lfq7O`}Jq_!$`%Ej{H`o`ciZ{-6U3#f%0L&Bj7|WCu@l5lJ)tU#YxZm<|$rW}(
z`1R+TC%jTbPr+l_CC^lG*G+<!!yiNNcVv`xbtB^Q=y@l-LRBnboO{VIW(2lF%d1g?
zL==8qnKo#yiZT__9Eu&ruzP9b{2^l!p5saXn^mKNSCaz!1}jY<=vs&ZeIf~azlM7s
znNr4;lV1gxE||j9`G~PEjU?>0A<XQVR>JlhEK0Zbm_hx&7Js#8B=ljZoBWST!Yrm&
z#3V+5_O4^L4Gkm=pYJ&v9!Nx$7bjfu_5r-uvBs|!Pr{hFpp#!W6tGZo@$E=9fPB)4
z9~u-A28OB~5ji7|w+&sMklO(aNq5}TpA*q%<nYd~)3RuEy2F`a8bHWPVA|J+h$sD;
zMTDGXu+V@f%xDe3>znNG>npVXVEsjHS-uozsjX(%)0xA?JI_80eNe!dr;q*yl#Amt
z#^M0U1%QtsoOVZr6!7|Da~b!z2=1hozaAS0@OZA`m;&-x9JsxXZkG^k?pMxkJO&7!
z7Bh15ki#&&u(g~Oe&q0c+{K##urKTTm)<k7sFLHbP3}7Z1vjhX>s<h5`>P}xvt{t0
zWJ&&hX<odQHErfE0pO4bhrDZ~F>Z+Nhc1O1Kk@D>3V2`!1!NtOL0a9m%o*p&6&#p8
zHplr~#SBEB_K7!5OJIVc-B#!Pt;k3J$VT&;De#B1r{1>}$Fu(=epS$I!CPxwLsd+s
zu+S=xrmdnVS?Ic^|CSXEuTL_5^)~_Wsw~-``$Vw0qdEHd8Veps(RP78V-WrBWm>)=
zgpM$^V0@MZ{lbIohK!6MJ=9J5M!O(>VN*^N+{J?1#ou;ZE;9mit$o(nl>(UCbyz9u
z5DUI>34X1~Z3F_>C#q|!`BBjKSIxw278Ige_cNmTLXFqy#dojyaEDD&7@5S1!VD{4
zlztdM&g<SU>1=#h8+bpsy`L5NKe*m=aW??NfrPha9t3QcdR+RxiVZ(8_(uy3=!3Ca
zc%wuwFP;n=(J8Cgf_z7m*vt0l1E;IiRyz+~OqTXtGk&=hciHaq)qkr8FB$WdCs}y0
zOy;^}#ug5giD@Bk*{260?X6c=XnyeSZ$cOx<3z@?h2u8Ey0Cchs@>xP9{l{N`fUDJ
zF0>J-e5C5F3(tO7i5^JiLAkWZArlK8bnmSRo1WK!{lzaz1k-uYEy_<qoc6wHg;5TV
zQgq<L{?$6yTRd1MOt<X?C(VBpG6)}NI>QvQJ+iQ$2Y>B>;@9kacwy4wPicoX^jw;)
zjS%L=Yo<OOeWLuBFkMb|4Ah2b?aJ)@AYKf9^~S8sNC5A5oKLeC(+0nIQLVoByyz|$
zJ;)Ixh^@Pa8rHffux=_{$>vJHOal?0&-a9|N2sZ*JBb3ne#bQE%o6Z|;GQeXJR<1!
zYRjhmP736I+b`*t!-tkzEB<3WCyE`<*L%2xC@>VG9M@sbk82<LD#}^J@gn2Ls|_<`
z5E9aO6(S{oVjbiTlTrzsQYU0Dc922F_-1h)qaZGfkX>gTr0_z-freYPWcd0}H_UBK
z5bsV`^EIbQ<Jr?q3uUEbu>I7=)xSj;cPstq5s8w)@RT!ipGwG(S^eCfUR4A$5<3(9
z!elY2Lw=864H<m=c<{cbC^CMP&3_OshnDXS3hsSLhJS5GPF=1R!;C-a<yT_lv90FS
z?7hEaAbTH$MRo~<Z+?GN(iCu;x1>{xIt8+WZAC_-BvJ2oK<7rGB6@gBvn54Rpj_hm
zgZ>REeDSY;Zmo`psv}e#*%1mjaqaxF)FF*0bJf28U*A&MXCy**YlF1c5W~A%8JtjN
z%B+2^ggzCNNwooO(Cylt<a}HfqnL>WRV~UWokhyO7or0Zr=ktgK@RDy!W#n1R50n=
z#r=%(x}b69%S}!pnqOSBI}#eKiU}#|>`BwQutUi`lJ&bh7N)*A_)1I-E3IO#@we*1
zbbqM)wucJX!*_SLYmpj0<hzr1uTmerIk?-BV-)f8M5VgwKQ;U$5*J!=!vHSzd&U3M
zA);pG;LI4GIyTVdsP8K`1bx>G)}y0D?6kSRhkscO<>pgbjcSeH_fL*<X9GwWYnn`0
zqMaXUDD#5y&=|r$h0<$Jk?=}%h07flHS7=DvnRa81h#d?&h(in;f?0V%~Ca0d|=Ic
z`dgDJsLq~t(><evAAh<#Obe;tmzrY+A*E(8e>45=r%Wa6Z4mq=`br7$%7t-SIUtzy
zpQ>Gg5^6~a-7&Byp|IdyUP>-NNb;w_F$X35xt8i-UZaS_l@RIPNt%Afy0S=bkZ`a2
z54w!M^4Pq^>5!<nIfUB&-n^AS!rI68PARF#VZ-h8Tw5!1c(UF8-PTzmPQ8*Dr2kI_
zJ6{Z5adI^Wo33L@5A}#R`{$C$Igr8+fv2>)51YfT4_#m19#h25KilKHr^HZs>ZQ-{
zK66+q?sS?=RKTMjs}rB2F#6o9xV@}r4*o1=B2RMVvFbWzJRcXptrk<?Hn`0pD<!E-
zJ6{f4%)Xi>Z|6g^!To;2qX4{PbZ_Rb%HoV=liR6H9;93;9f~RjP&iYa;hZOfYCZ+6
zJGr^AWtEuGaS(tlk>Tu)JZT(PDehi<vK0@{?O;2>2Qcbr<@%qY6sp^-)>Y84q0;D@
z(MF0H+><oQm^vVVniZ_yWV)GAY{KDE+;>w*EPH7FIz<e{3OKutOEF=?(`Wo8+fAXL
zrcRHBMG&mC=<iQ5;EZ$GQH4?ykiO@@eAr4D$<1Y#q_#3(Q{SH>XV;8j^82qx$!`R)
z!B|4pB$XbI{qgU7d%zfcK1e1yo)kcf^Qo)n4$@=Fl)wLcqY?bKt=(J0j31S|4>ZIC
z(_;qt(Tl76Mv%Fp-^)Sb!^wr%H;hzz<a>SUnDHq?$YgofeM*ynw_d4gs{;dGX<ctM
z9y5Sx{oesK2YAtHf7C6nSqA*Nzc})vwE-kq^9D81bbFN0Z)o+D5ySmG$wwOXA@*3;
z$ov{NdM#GY<UC-)T>ZCmKNR%g+)J;e%tbCdnXcfW_=Xt^UR$3m&Zo_nc+}^Qid=X!
zxKr-YCJUbF`hL5R#tRvuWwtpNIZ-_=uIKA6TAw+rO;~btLGdm5$_Y_UB#%ovGCtUX
zUp8l_76f&H*U7&z^gRdG>4raLGGfQUkXI7fg*sp`QlkB;odXvIxx_<g>%GT|8tGMZ
z;9x5?^XnJ~GVqvh+U9a$O7wQUpeNd3$syh!Dana}Ld{I8dOXOOcXJ1~gEpi#txKOv
z<V4F2w&6T&UQD>-wJI@30ZPhYA3b3%d@!2Lv2IR4hRj#`lb0w^r<t4}-_3<5rkYEw
z|Kr2lo<Ng3`n3K16AXk}ZglAp%)OD#k4be>T7zH6@QIyx_q;0)Hs=R>?Rrn+Jd4w#
zefeZ4r(DS={^mg@rOS6?bcOI`c-9$dXEN04L_5~x^P;BLZ28d&Vbmgul-P)qA=u$n
zn;*@O2D1(KD{6~knr0g1-#0DjkF(c)rpAZG<$OccgJKxsO|gI9q6KNnC-)Eq`EjpB
z^?{Zg3A}kphQF&&3wp^3-E1_jY`eNOt<z5m@9{6mJx<bs#Blb4L82gvv-rjb(el))
z%+}&tv05N*RV(y&uMpzanTe+jGT6qJez@_x796#)cPz{jMut4!y*r=F;xJ`lNi0tb
zxOO!5|C$y-WoqXM!H;t2ka@sF^Pv`ujJMZ4J0OOu2NPOvvnil|yl$w|4=wO7lNl@-
z5y#0Oex`rAig-+p{`HC$8E(ByO)U?T#JIXsIeIki2$@LUmXSh+_Im?G_j#o8OysP`
zw?Y#3Jm-Uu6*BzUm#4BcCyhsZ%pP3pR>C&3RIv#fPc>z)Mc*Hwaf-W-%%5dtynEi#
zyH{KrzW??Gxi(qkZMAXFr*VX^4&#Nn9&O03eR62wt{e)+$9p)5s3FtAiG+PcI>2y2
zn{woaJRWlAzRE?Xj?Cvmd_vCa!V_1AYT--;l=)coK@8P#k9^M4zi0JeZS#JVL4+b2
zw@H0W-J^kVvmy28GxVXX>w3`%M<ROW7?l*=*1*|)9u8P*0NhEICTub!6sL?9??Dah
zPGD4&88w8fzsBX5hDn$^o;b33NdvzPOjWXR8-sC>FYm!qO4u_P+bAxmfdiX_x=C{r
z@Mm(_M_yDyu58^C&v&WgaNunQj{sA+nIPmU?5K<+pLg3V4b-rHa@U2?Br`C|zryd7
ztc+(qI%)14Q$agA>cdal0iN>77!vc8k=Qdiv1G1{jSF@k2~PluT!Z(nMJVIo_wgE^
z5E9DhlqDxfn#0_seb+8)DC3pt&n;V{6w#MTWTy)-hmTwzKM6chqRoTRgBJnvcujh7
zRIc0{h>?aO3(`txY<ZqEvtJfPv-u>WUz&qu*~q2I|410|QSP{~wKVQv)?+?1NIO4A
z-!vwkh{cXN@xL#L<2&iD?%h4+a8*xNotUDCrhQz-%<qIzq@>`&t0r?ezj?5?I7R_o
zCn~h{Jp|A?Gia~!C3Eoou^8LsC6E7n|9iD;O~BM`g|=fZ=FoLR)iQ{dE6Vt@9rQ%F
z(fQoOj{k(s;f_<y@h>8>I5@|t+V8y;w=Wj?igW?2xXua^=A}`_l`DNEhz0#^b?3CB
z0j!cgI(Sq`VX&W%o2EJ={+L`!C?W!+2VK@JIVXWS2V#eWvgz>b)Oh{B>t?V+F3-6<
zNDSNLiv9jbtW!O0xRUgzO+oPUbHeBu5fq&{DJ3ntLj9W-*Q7=<g?c95^6+vYEYI<O
zAj!K#rQ3eyaa6Pkya}#6o$*fqHLK)*v~(^|FYkQy%loA<+^juv&B=!!1&jtnOtcoL
zq)OJaeL}`yt0C;8vPM9u+|M4PN(<C;>$)t#$Bcl{WmEdyJzhKzn-)*LzCazByJb<;
zVhB&BWPhe+@u1*=N-#LJNPS~>*J?n>5Z)->i;k1!#{8E0AG)`es5b9^=u3qgfHGfO
zvf_W7c<n(~ajMh`HC1%^cNvX4D*9BeuZ^*z+m=<%@cvb5*!k|*2xEO{AG)~x-Q}(5
zcB)w739eHECHIhTl<UC<zJiE=ge~YAT%Zs>vPm5`A#GQt`3Q69e}=az*pSKg`HNv5
zdc6M2v4QuZE)12?Uyt2n#V!8r`ei#9@MW9}@$jY&tYuaflh3naP#2S8TMi?N(f_<E
z7^wp#4R600=&&N*()gS(&xCbbmZP_=YD3jx*x$oEtax`Gu6O#eVAchTj^(r3@W(hH
z@-ZJPiltAw%q+1YRV86)`xb3*DO1jEHep4zGmWda3b$YsgGZ2U9tCuL%~_SwSaG4=
z0A<|SG0|@Ix|}iv9Qz1rLiB97%c!#ZnK37}mNt*CKP7|GrhMQ06*lA#)ONHm<i>%2
z-|RTu$q*=WTq(hE3pQOIy=PI)gQ85LjG6Rgs5l}%*GJikIq#AmICk?Q2}qCoDzqT`
zK`x`Y9y`v24h$`_@}YBLR3_P33j~VXbOPKtXgPIhW7vrw3878|0ZuKbJ2GGk)tq>{
zNjb3gu>f9mF^gV)p$Vt^2f4;&xY55UWv8-{5c>ZZw+u<u1Pi}^oO|4P(3@{@X0Bft
zk0<6lQF7LVSjL6;3l_Y%*-#{(k|v6sN)xM}RW+e1>g;15BLeDsUgmc55=U_nu9gez
znjmE?3vX@tFqE-cHriPdtv$yg<!3a&nswQ^_yjHIynsJLy3%-Ct~AlDUjy6}u7=dt
z2_T1g>6PnyWw3ce+|p)51DawY*V@>GXu4^C)g?+6KhSsibZ=-t%br5x&@;j)TBlwS
za9<9&s<d1)WHjMzXx%kw7EvSx?)R<VkVk^*!oyxCO^7-6^XEvV7=DpAyS~ps5oc<$
z-m@2Kf~rM9%yvHs{B!MuSbaSaedZQKW!5xdl$n%t%2Enzhg@^@1(oo>OLr~kLbTxC
zWMi+-RcREKd^lqmrHm)6M+4$%@0G=9?sGI>25&Q-jp?H4?a)PCqGJ^q#Fq(F`f^#^
z@rh~U9z_kge_D+`3#Gt~>eYZTTHQl4na<AP>c~>Mo?POr4UZ~r%B*+FBTs(Io}Mcj
zxV`d0!;-5G93Q{AziM0ot4deKGi@|6nR&0>#A#g!DG1_@oK?hZ=-{xc(nPC&oVnT!
zdT`IaO4;fUjbDP>8;gEwqGRm5MF67#R2G)aS$rj-y`Sa%k6X3yj@5OyAa6ssP!jpV
zuw4ngE#!h_*EG?-i!_(?&IsztrE2e9RK{ynnR*p1nz(DSX*$co1Sm5PA}vWO=yJ<;
zC324@?hp_^N3Jr3Qf6(+e4z?D*Zrm>d1>I9Y5hPA1AwbTnMB!F72N%KNSD;9h63kU
zz1K<r=+bW{cx|ZQQ#+FO;J6ABvP=|hG-!Mwwcz>gg9<+0ZpF-8r-b_%_-O=d4t56Y
z>HE`FP{jJbJ9+j*jCH1*?qsq6wf4*=9X1vGEYe7q*&~l3E#IfKc39B(?*8w@y~?<>
zbfh=hRu)Txi+gN>E#RT}X*T8{B@EPg|F0)s3O(D--5Q9tfNwwQk2Uy^knw2rKHm4D
zDE-=PxhBK{27{l>$C(lFAmbs9Ykq>*bSwfQ_FBML!`saXIz@b^u+6va2myO9iBGyn
zSODqcq=fBVd2HOTS#i3I6U$%457rNx!^Mwu;!Cb_`0SURzD+1AYOvdn_a>RcTa#SD
z40>5y85obD=rACC{4f0>O>+?O^01w&l*ZUN`vNUorSfH4*GBdLOlf^Os@funZyy!z
z_G<q}?e(b-<qia3S)XJgnu_C$BDKJv{3o^XaQNSFHUOrpE;~iXMbQ4ey?jsb7b=~}
zsm{GtW)MMmyirgpguAWv=L9o8P?twyxsxMI!9yq_p*dXu2Z(p;9_|{Zre0mr)T%Xs
zmgJLVx@COm;$-Oe{Y4+ub*EV2k!fQf6H|xFKk=eX<9M#&@;hn+9sAHY(HLUS4;HuY
z<Uvzim8wUsy;SW2PZ1tJBbX9oQ`K$eM3HLJa$r<H)nl=1oZMgt;pX0-tu@#&P2cKh
z$>tC>s4U0sAe|w|X#PD+|AP(bSY4?3xntB~51sal`wYN%XwFG}js>-~=E4)sO;RK7
zin!dY&<E$|h3k&m%otTC^++oDGqrlo{6sFZK1{eU@_xI|h?WQRr|!S|N<CIsl5Xsy
z2TJeS-H(MZpr%!U55w;7)J(s$qo-c!LgZ++WP&F>p54<i#P|0nmH0v6FHuJqjvnze
zRE(#?g{kT!$HTv=*Z(*aXx*Usjz+?hEhU>&`jlE*TgSiDhx~7uA_a6{IaWN*BYlJV
ze!hQ8q1!w)J!G5r&lGKFkGkNc^kSX5Ryf6$8@@<=-4oY-nnfFox^IN6?^vgDxyOXK
zmn~Df-UldfCs5$dX(Z@#tWyVs-(8=XS*7lLR(83Jl>#Ax<g$6rb!vB-7XRCw8`PNt
zVL{sIWVo^5zs7C1PL0o4Q4#Z{!?Gw!R<ke}cDdh(5P7;zJsmV*@Z}*rGM&2n)bf@V
zFdx(1eIRgy`rP<$y{il(dViIc?>5kaz<-x>AMf3y7F7lqSr#*4wz}=qiEd2@dzJ7o
zNQVy7+kPJ@F<`;H-hxbKewxtQ*wMBzN{0_$4=`8%V#Us}279Nin(%JR&4`5}8V|o8
zcItbv1zBG4=sa-KfUq~do?K@cu(HX(=E-w*Jkk5!fu%|vaw?RVc0@8_<bjYz_|Az=
zZBG3J7InxV{9%~A%!G-rTKgVK@?fzc%a_pOYM^%KyIUHK=N;q+8g_Z`qRO%42b069
zaOr~nnRQiGG-g=dlJ|swemP?Q44qU#VR3cVp_&cL!kJ{JboeprXEAfim<nhgUOe%|
zVJjv#oxXgzO90a?`OJ93R6yoRS>HA}4!rm2#VPhAA-vQ-JGVnr1s-eh8|zDQAxBnF
zZK<yaChpWc^ruG|65}{ihvay0>hWc-LVq#5v+*WT{JJuz$IZ=q?&ZbSfNoXZYZ7?g
z!#i0cMj1S#bwcg0(sbnM_UPu{QW&((sk(Sd8RBnhFl(*z;TtY?vy+B0nEED$wK`21
zzS}o7ro;%~=6k~@;#smt32U~eZ&QZPtW55$l0x`YDr@%ErX2eIntdTHt^$N+C)3Sw
zVa$s&;oTLdfLt6?OZTp;0Fk<)E{LKiV;^T8EKJ1nKdmP|?o<U=d4<RBt+ZVJyP(03
zO2Ptz$om=^Y9RmGo0K{wiPyBY&)SD7<F|j$eUIC!L((5^LA@MlydgB1Riv(pT6e-q
zPn6O8T~V+9@G}_{ef_49eMSwBep2TTEzyL_5g%BO)5{?}y<NP1fd*!dCzTw&tOZFw
zgr42qA&*+uc@{ehG_moxPxMeN8J>xm?kvnzz|Q!YRy9{GOd2c@>iA88XDTkrv0oIi
zJeHC3(1sS;w7z$0p!sHwbEeWoG70xCFYK#~CFA!Ztu@zgx=@<HxBN6z33UTHinxc!
z7*Clqv&q$m%<td()k>97V1&4Wt7K%^y*8hC$PijMz2=r0RWQohrFr8M8AFf%<%rcb
z2IsyVZNsIiSoSeCdLfyN{{sL3|Njh^XCT#m6vyqox9oAb_PwsX{>M!jEh}kCW~8DX
z36VlHM3b}-DN0ln<$o%xtc)~_1}%GKkH_2Zi{J0OIp_2Fe)w<Ug0ip;=optMr0&r}
zRkk$yf+0FmM>g{B`bq%T@usP`0X=ka-QZFtK*uy6)+p|J0JAb4r2rFs)KHh&7x~!$
z*T@y7@n5h7#s&-L5o>+4Sjs&1R#y+rA1IFYSTjLI#d+3gSq}^4vn=lDXydb=DJ+Y1
zOpx=Dd~iHc592wMrdLmBpc1w1!3%@c;H5}eh%M2@-&a&8RC3gC{syHu<KSxGNFe=&
z3U#nk<Vcd}Hf0pgjdn9VyBZWZPtuD*wNavhb*){%Dm*&L^GzvXHCz#})!o3Sg*%G#
z>D$gqV6W4$XD(i=0iC-4TEuB$RQjxl*eM}Q);1n1QCbZHxtI5=f2ZKH;eFl0z=`u+
zt(*z<Owe7^`Oeu$9bG7wC*R+hBTJ>48V3WIa7{13NHbm)tpneLk$wGSbFiSpwOLyT
z{B$qB^OG_*uvO0X@Yj&T)q<uM<85Jv<6q&)Fh%rL*BVgD=^*}y4lT<I*uqdyMS9$3
zIaG8xo*b$EhoENP$*jBpkkz_$liVYN9!J)xXH<<6R_)<_uB!mnJep~$yCsRoyd6Vb
zcqR#-_<xVVfdGq}JEtav#W9RuxSysnMd(}H5S#M0f#&?=*jG<PaQ#?Dq{sScqMqOX
zb?FIf2)ffIwOL*e+dck^bRegR-JA3+#_wA}gx5FUMPptpTK8$^ySvjw7oXPWmtQPl
z{F%9ndkH75dF?zz)14;1sp=e@6tx83*-eonXV{SOvh6F&z9~Z4E&KfjXA7WuUq7vI
zbeWWUX75{a{2yWK_4L+(%jVFzG+x~wIY&06(>ENCnIzWg>%E)#W(Eu=0Yz`&De_~Y
z<0r%aCWz*bj^C3E&A_itG~zmSoDB9{EbBTrPNa(YMO7u6Lcxg-W71(m<V)}VO9_!<
zM9<KtV_SZiz@1j18(RZ@llvA{nPU1V5xTFCb;{lZ{xXhg`pWzuzmo-(p0`JcoqnG^
zc04qOuuX!~|8;#KV|LkodS^dOEFboX-zaMgown<wX?I)63AMK)l{!PjesVtHYLXGi
z73G+|YpWq;48qFyZX6`yRm($p78uYQwb}b6`xDaQjFf4^qX9yram(!^hZx|g+`q0S
zE|IwKw}W5aZGhOLDEgZmHUta7+(3WFGGfgv8=s8v0Ff7r{bYzCl(IXqRs5+U!W~Y^
ztoIloj^+GG**Z#xC3|XbyH6vr{slF}zI1?Cl#Mwa8cv70R8^Cx+pPqB>`HE}`yi30
zQSfDWnFgr}zATY$9Yl|4`ob6b5K;6`wYU5%4bJT9c^lvLnV|b#KRv%;n0S;D-HGxv
z2oy;AT(qv6SiZq+PPsoqbUw^}*Xd;d>~R)7Kel`$VmZYAOyrCb$qqM%z0c~y^GYcy
zlm7?7K|QNkacPV&4p?~euTl@H{^jiquIVMrySvtW$sZ@OpBmOiPwPUjt0gV*{7=H%
zGI~no#{}WkK6Uw<u`XmL2OUe?_nX)`e08dp`HwJIy6!F<sRPOV0a9yx{t`1*kr5${
zQ$(uL6XS(9+E9F$7IO9I03jg4HbzO9Ax>BeQg4fE!wrA`t^QAk2!WEi(3p@pV!V0y
z(OjSwe7_qku}5f>NWDG&AmQ`^VG=VwD^^7XNzrs^*6m}2v{!3+`?n>+CWuXbR-Fpx
zUOZ*%eKSt<zD4_nau%?Et@XI}j3!*2ns+(Bev-Hwry#dclMTG9<KE`ZXuyeLftL+4
z{|LI0P_5Q;cF;78)qWeS0Y_)!8VVYwiLmHZ^oc{9aBZJ6<LFNc1nu7voz^f*Ob4EO
zabr6-xUv2)6Z5BlyES{S?czK!Bhr=}cbFF*+C|^y9ae{z)%-R6K1)RHE*1XWZ}?%>
ztGHqOm^#!d`pih3WP#qEdf$KzLQvr8!I>bX4x*bAPD=h`g$j$tA=$Gc@U5DWnEgx*
zj(YzyvOB{Lsmzm_za_+Ao6Etz-F|A|9Cpdc+L05uK1|cys>DI#b@HN^q8g|@pGxU7
z<OYxFXooj9B;iEU<!tvpRXB2ZULtTkFT5S}_(0x~hRK5)^<>Ib!MN$Uzs)s%aC&h(
zsIN;F)*b($Sem5@`Qo*5Dk?&t_v`C$t)o2nJs59Xx}gg1v({R&9uk3wcdMel3@gGq
z_K~>_C92@;@2b2sB?{-QW&5uER)!`v%EwzjRDnHm`TeR};-K)k(ez=sDr`4(znaHT
z1BMu9YEOtHB>mgp8cI=zzMS&qp8IM*?;0<-=O+!1a-!T>Cn+#YG4{>cs1D7C6U@?*
zWFfRH?pEA)O^~V&a?;VDz}+*_fAv4f0mqf>tl9xBxTKe?ecfCGlJ2>`+Ot^^=G^ap
z9~9DsGPyg?y3;h_n1h=m+i_*k%U9EHv(pD=^3?kfGc6D?y2s8OP=VGb>Gm6$G$?0o
z9bGihfvBkRhKe9HFmwpf5%s3SL;a1_U#{qZVv%n{%Dg(vE69qI;f7FkIW~ctMuUj7
zM;n4OG$8JITl?;#3^3Yz_J(`|9hNhHf}0H$Y%BaIY&(qrw{`TMzRdvVVixtlA6oEI
zTa<rZ+!(GoBo_o07=u8$o>+U74lsLV-dsGtl5cm_r~WpDrAYS!JxjV!sFo=q@yZw^
zQ%g5>Ia<JJk6j&ByY#_uM3>zr(-^24!LzMZR<Mbd`>ybe0bHWyHA+huL)Os&KD1lm
z&UYdIeO5I1C~;V&M#BhBobz9F{|umKet6b;<=$K}!XMHf3?Z-b&E57nTM&FY=F?h4
z1Dn(9*LqUv5PWyBvtW)1%*Ga$!#Olq`_MZ>d5=D<lA&`uG_3~OYqMQ>ek=EBDes{n
zzcy%AHvcylVh7$A5({4s8-RLvo}f=G1-6L&+Vt^*9dwxg8s~nd4+-{<)ubkr!QsuC
zZA+YM;3B^}51XMLv<J&zla4HS7A${dvaNwY^Bv;%gLGgc+qB;)c~Ou!bZ^Y1#SY{T
zy=x#twV>u#>D8~D>|i$^5pp5Q4x;}0C`WG51d*v@y~hWKh>S-=Ni2MJ@It@e%14I+
zlb#gwq<0<U<lT~4vlS1qoPXpVJ+BHAxq^b(0aGO7<be;(lT2{uypUSbrVK;>(iT!H
zS<%PB*nfH#6WnqocMwquaBOc+&&y&i+@|t3G^oxNW^4bt2*=4n(xTLm_c}goh<j9-
zU}OvRTe|+Ty^(|kJKE{}Zw2rk_Yb@1T!2#D6Gn&Z#UNDbbKWOEA!MEX7I0Y};PZvM
z>1=93a3EB4F4$cd-An?T+l&bK<zX|rZ#54LiMxvSz7odgcW(L`+StH@D}_IdhS;DD
z-7P-13FH0~!83o{tzp0F0oxx&3&g0vlLF$NFdl0C{>LW53c{wsqE{zQ5I4rgpGs{P
z#$!XT!ZzKtgydpL%scX%7}DN*9~Omh6XqY&`fdRlm8$~8Iok+!z5foo-x9+9Yt>D?
z>K2f{aOjiOuQF2B3nRTZ2%&b%hIjd)<`Ar8>wjf;7g^Gh&VExw2wQ~|cfP1GgRYjw
zBZ9Vn$US$}xR*u*F`-0VEJn=?dU(ytZ3;%o{KS~$l2Jk2FYo<6@RTXgx_p<H-c6Ek
z&1^HTNC}~|o$w~naTDM;aFXhlHbZt>@RBEdh0y)ds%bSJ6R3}OjJhbaKt^zTY{}>n
zLUG%o{5@ZcL1z5TSf9%>Dc&3E9&=n6Gj4u)kiEqi-gf7vWf`%ebK&`k*HjS<`E-N5
z{)-WuiD*cud&Gvi0xG`y@<kA8xrEw$j9}yPJM}GU9JuYvPL4W46wfa;SH2o&z?F|r
z{;N&nM1I~=O}-<dSnuYl|KJn@ZiK&A(q`qx3j0%zon>M;=;)JOuF8PM@QyOWa2~X$
zZfkDI5J$&NPZkubR`xG?-@(=Yc=3T)n90&*3EbSdGg)b$AuvOB<B=2m7=AZ)TK$0}
zraL^Kh|3v*!J)G^9;gW7h*WI7<Tok&&=p+j(?W-E;i1v99YXl|(evB61~N#iQ0zT_
zo(``6u^e9ODuS!eMCRvSmqkX(BOW~uI?!i7?vAn-#rX7T)sLETxbrEm%U=o|jt854
z2wN|PY9ad%ceco5+lMzF&aHThd|29*tUcl=@a)>OQl=uFajd<^(no_6l+q5bGZM(f
z)gJM~RvFKo%e=a_odzs_3N?FcC2{Q4)05;H71UuH-xS|M0~vbBdt+H?G(FGj^4wDu
z;|KX3EOpU<d00?K=eP`JZdKaP5vhh}qS-IW&d@-eqqN9*Q5LUAsE_Z;SH~FXjBa;z
zI`oIc26v{);pr1$d6O&s;D~)l%32>fq{MzGNV8DDa<-mEP}fA6RP9q~rF4)q-u>s%
ztRk`roU0!WrlL$t>dTKxhTuhit{CXAjGI^cmsUK{!sg)(e0Ogf!q2fYO5Z$Hkg?47
zYx}G=IwvKRcv&!Dg3Yk{iK{BI9aMi9$k0XZ*-&MPVFm~u%TwuaQNyjfwI6QZu7^{l
zk?*}<7=c(#XG4~oI_{9^P`nwak7d6<?zYP{2G2U>(ogObG^D)Xc<f?;EGE0=`tF**
z%a#WxGF>#VL|T5kEf)<X)Qf-ZeQgSF8I#O|Yc%optqvJ~dm7gG%Z}BLnZf+09c$fn
zs8}B{^xv)k8d|luzkf!zfJxnw9bJo5ELp4>ZTF_(Oz*qa)6te-#Io?(w@eFbl+14I
zXV9=aVe9Li^;YoUa}?9rRU7AG`<i{87~lm1<-WC2Hjvo;tlI6ZHa_-T*g_WQqjTbL
zN3lBrM|C_YZ>3jyUyPNqm$M%3q}~)Cu>o+Q?YYNlv68dp*;U=sL7xGSZO^L!`f8$_
z&g<!5z;v((ywSop2{b-_Gh3K^9(*rqOdCaFuN65JXyR1b{U7s}ZQ(16nXO-<HfEdO
z4>%D<!7blzZp-Ylg%385_r?rsVYyLD!69um%q})@<mYEX#)ZDR5IrrFS{tk7-lvQ~
zN1k@YsI27ltXXjfDxOSj@GtXHz^A6$&nm6tTayl5u(s30YwRk;6-KhS=8f-{?v;1U
zLj;PQs2WJEe-{wCLlSc>x2-ejvxP755>X%K)bXeFi4=>UqNw<#<<vx>E!<L~w0gZ(
z!>=OoZZ{taVz=rwpMQb2@HlZBQz$_dPxkq*Z4BbUcacXm*yL=%H<x+okb?>~)r?ZN
z&a-2JlijmB)c_*BOT!_e%6KI&AmjdK7HpPd^hpN;<nI)krPe86n9HO|Mf)7dPVJ{!
z3j*L16CeLma@cr4%-VC~6nXoSqOSRN0&2tad~^I{QTh6xVu7)7vdF*b*N1C1U|Z(6
zHQrwu-*zwjyLEY#<cJY*(CoB^mem6%g3e0f*Y6gOrSyi$12bBFNeb3r{CvB3)+cdX
z*I|CqBYThxs$9)8y2lDe_OH5rW}O%|*a+YJxqgt$_^Er4tI!fY8h8LxK&-zjw)KhN
zn`S#QdTNklvMP9*&00YC@77u+dtt14V>yTihsk00+^!lY3n(2Kmgo@>MCa&rt7Du-
z$tO7r%=X*nFxu30JWrY*?_Pdt+>|v&YMXlWhs>M7#IJdi?>@X3#_C^PO`jl})owIj
z+-3$RBjLZ=A#QXy-))7XljLOKIZ2yJQ^@M#R!d&t^xY0#^W2Y9Bv<y;rQI5)5Glo;
zA5_4JMH>wrFMgjPGrre6AGu%x4aHs@T^~8Ht4m;48vi_b)H~a~hus8PGWP16W^iDJ
z&HNDu_eJu1{dNhpqsG8-O6ziP1v}nc@1b5(u}q%b=@(QsZUia!HGbFaW5>}uUf*(5
zSn<@Xdtv%PBRENlL^Id0<Ga&J{HMa%FwR;2LEQ>R^rbZ;+L-M4csX~Yd=ESJpPAmU
zam6b=S{#;Ieb|v>c>b;1Hcqs+tClw5U;ux^Lzc-rcFdjoI3GI1g{oDde=l4#gj0s!
zMC|xEkS(m(kn0)`eoPLmj?pxPOVjtFwNg2d)~G%BV-Fu*Epn=nLpoHieK@w;m=n)>
z<Xn?pCxDq-Xw1ty>A*5=*EBcBi5Hh|!oX%Byfa{<rouu8+J`tJ&+lC5?~<Jpyjld=
zcBn<O=F>p2t@(%MUvBKk;+w#OqPSVOaaZEz6;D35s%nooFW!ki{IK(h7)JQ+niuA!
z0fV_++QFL-^>@TxcqA%;b6Pbrs)+`0V&dzZXFER*UMd%`PL@RV)oV4?cnqL=SXRt!
zzaV0ZpmD5%G=ARQ+U%2|4^iE*eOh#3q?1SIg5Jwuj!?Mb4oiK=PXnvi^CCFx|FgI=
zXB7rfbsoPS(Svjkiap;AQLM2r6_3l1$7sV$r%TWDAP~}b?s+YS)~S3cH6@DJlw!R>
zE?p07u5Ey)EE3q#Y4~kxgfd#Tkb_gHE4{#j_nyX9Npwz7_xW*81$(V>6jbu`;P?2B
z!dDGaD8ee4(lw-tgP}VPjDOJs%S(~2{ySulhjD44V6{5>f~vnNLm$rXn|)TovkIMU
z@0Us3ry$p|@~PJ)EAtOFOaE?>!+RR{7-CAA=$5WfL*HcpnPcwiRb>izmDCNscZ-VA
zR~jqX6lkzc{CAqqb0u_Nzw1?*rZ&2|H@Jr7(qOc?@lZm)GVT={FMCz2gRvKbdh(s<
zaLx93(*nCH8fU)WQe&crEb|Xp9|;*keZWWSRhnu@8wlO4_)s5nuM)4R6NV7EBchG!
zqK-KN?c1KM@aSvaRH4u;1E#c3>F35!P?n<C?sJERhs>x44=NkOowT@O-2x3Pr?OA%
z)uN-Bh|NotKoi*A73q7VMH6i|aGrURLdWZb(*BS}QxMj?7veoY#W3={hGHWf9Zs`F
zwyraWx`du(o^dTSymi89yqk_Qo{Qn1yDXs1c=!fKk2cEx?SGk6LC3P}b}_LPzir<e
z=>GVw4%+mXXb*d@<fY|L){5JJ`}hyGTzg$y_g3(Hd@~IrW~TH<vI%IAdA3oaOc#as
z`CLBENyDE#Ha!Q=0qFLB)(sfdMUTq(IA;-koI025am~~gHVgBtzB{6e58lsJN4?a+
zGaggyneS|2$oApn_Yz%{R&e4`($K=&u1#mOnM`1<;k@T<p^KB&+=_d>HL$QGM|@u<
z6OKPLX(&z7!KmlABD9j!P!QELl|L{cSBL7FlC6!;t%n?6mMG)KQ-n|62otn_Hu`K&
zS>ffMM`K%u<?!!LptlS%VIWR1?3)`E_vR@CA8D4t*pY!<SDKm7cCMrN?z{#b;MKk;
zuP%oB)l%XMSN=^2i#!mOLcv?g9r>m6{K#_DVv(|$3H6sQQwAl}@x;D1CyRF+SjZCM
zB+bHvAco+#p)0C5?s59dv%QPteD~*Em)o|mr`zmInw$#W);AO>+dV;Y*HsG|o7=)!
zoM?OEqJ-;2uK7L9{zb}-KEIjX2q0tBcwp-(dE92+H59GdP7dkInpJxNsQi>(oAp%|
zQ#ry};!a;Av%a(aH}`{pD@7v?JiDb)$mwlXYk3_J<ExM?!$UxIF?~i?KoXa_dut-1
zKM?b&S6!ddY#=psdy(ibF)U{-`*d#f3!%$!T4dX04a}*6P2R&IXn3P!jr+lFBB_Kk
zt~}KWt}M!)^K}$L|7_b9<;-qEqe%Xj<y%XLs8!gJEX<Gox)LhwGo8fwI-)$E+Y%g|
zMYbH$;lUZ{kf^D-PejGRbM-UpEP!FT<49sUCpH~9VRLS&o!GTt|BCmDIdtpv-%od8
z$F9F&85=gfCyoiv`P~0$28`A}$qW}(bYJ=%{n@dG(45W;%eF9s6xqtlX==-4LeQ_a
z^Dj#Y=847DvP-65vP)68RBnMht|(25RoqC}O{+B*Pnf{wMXhnO<Fn++D>mcT(@M$X
zd<RFjZ83ouBKRDi{WN*jPQ&beX$_gXCFyS*X$*|A1NGJZ|HuH{q@k+<E#!qG{k^j~
z#$fPUpz2M>1R0oIb8hpK4)UgL>Hcfijo?M2MWn|0aniwr`g+v0i%e&Bm=mH#P+76u
z(3LbsZhqX6DK+(te94<#UYpE-_g`MQWW5|EL++pMw0YA@zU^#ikm6#%HMyzyf10CY
zg->~j<>g=GiVJQROEiS&oxZb1i6dm1;_@ZK(7)u<h<>RYUPG|f`JyNyH9}rLzOZ$E
z#~`_I{t7%vrGv^W=kA)BVREc+|0#B_5i)#7csxUn4#JLQx__u6<mRKz?-YnJk_^o0
z7r94+CN@7;^Xw7Q+dXw7*Y|PqmErUk8w(o5r9U~|OdBPIlj2WnXH1gqRrPy)Zy3PA
z$2zZ1m5h>mMARyu22YWn%|oWE8uTII!UF5-&0}QDg801H&Ka^IL6vriO&>-#$U23u
z8Ye#n_;E~x&XE(fg5HfbdQkXk(L<bdg49h({pnV;K-yICn;weOg&)+1;!%8)<V=40
zMDnU-GTlqPEA^cY7_Q&GnZ@iMIiUG;=1vz24qIDov0SACRV~@?{mx90`zbWuFAi)N
z?Zj<<@t`)mH?_3t;hG^!4!74Cd|<~f0&jC_8nwWAe`<>0gIQARk?<Nu0w*&194o~Q
zwLtQGkrjX3Jn5FWw(Z#tZoK4hF}MB(6_!K=J^d0FNtYM07ruM(;^)3&lbc1UQ0Hm2
zQ~lL4DchiLseF+iX?bn)M&~r)<U{j{->X=0&uOt{t9e1Ja?O0pC#DI5G|ItehuM(F
z*4?IHqX>>}Y*o2+TLZ=f`dJ%C+4009i-=HC6w6!xo%?030k4Atw=phoVpfsYY`d#C
zQk*Z}=le<lnQQ)giIw?Y?W2x$^Gl*;V*cktX%uKoF3vmc%8PqnyIguSB!v-YhoahD
zDWKwzcw;Pr9}7Gx<&MwGV0K+qoiT+1>O7ZnQ`!V^etcbIl$jh#%!Jx=@lzmVSB-}!
zLj+Yv@>dR{0<sooyw&2SfUb?MhkvFhzA(<CPf?Und!aRjPk{odBh%9ib#d$!583we
zq6+@xZ0Wu4Oo5r!Bc~UdB~Y+hLUmd}4fp-c5G&2209Wd<n4a5G7=UsW->TG+Loc>2
zMO_0feD-pyOqaplPn<Rrr!;V2zo3Tadkx4hi7-)qz6!TqZa;X#kBS{pT!;TX(u9NE
z%?VR%3h3jUz(2B08wC$bOwTn^p?dSpB%g34Y?Ce&Gx5>IphC^OBm-?&b0z(%39kyO
z$u@hX9nr_OnhouoJvuP$<-fxvNEN;Qd!0wD^u!mM9oHX!*MkS&Yv;CgsbN_bdvy5*
zI(E}kesQYM;D~bBcCH;1+&3~@<zR1!69X=?VJGNtIygP?UY`cOUY?Jz(`MjW&v2>x
zQVbBFvn~rBq++aMjK$#r1~!Sk$S~|S0?t-pG1n<AG*K+_35hX6{^w_8+gnY*>SdqZ
z?+_il{k7V7ZHEzZcu3WbjG95EW2aL^y)I4{*j&2x%LpF`3?;DXS;Ft|*`%xN`j{9_
zJYTqDgaxKti*XUwki>C)@+FS}uD|Z2XU}JZfv(K^#47?!^`^tI$pD{kE|_FWFwjK7
zvD|bPU`W1bk1b_|_eGa;a%$*E%@U+i=WQY8mC5=$<}}>1$xkIrhlcXm>JF4HCUni+
z>uXb?;f~2lFPU6j9O%@EyK-?gFmico807}&J^4W+^fnbGx+$4w<?J9++xrQA)<<c!
zigCekb$q`!VEy(`J2;jgzT4oQ9){hCovm?IM%!?M{L;&I(8|i0^3G5ftwt^g?RqJL
zr;papx}CKHL47k9x0Bkq(9ZQF;*cm(xrEQ@Y_|hBO^%(v@~N1AZ2XSgA5PR96wp4y
zYX@nC>mq*^YhcCWqg(#$_(z79z2?=qwHlOn&o*)ws$;}M;r{LZRpgPn%e#ZsR>OFI
z^oQIWReV0UDaPUWUt(fs+qS0bOt|pS`k{S}GOFDgQU2C4L-5xf`SD1E30d+|Z@>F1
z;0*WCpHvQ3*uX+;H9KhwaoP&&t)9x_*JtJS%l;e?(FrYn(*WT*dyN_`r0}+r><`{r
zF0e8jTeLX<z!>G)?!PF8#t%fgdpvj`JV~@|`6B@bj?8zlu!vv>RdSQ69WOlD9^IAR
zWdnS?-ZrNb`Oq^ZJ2$J87l<Y!zh{HiaQ*g%KhkG8QP`k*i29xvXo(@Y);!jbobsmU
z4nHeSQ9?g86!L<^8uPp&eJkKO{|f(Gm?i5|ww(CShZj69H0k?$Swel7BZXczPLiDg
zEQwsaP`hRoJukxoPWj0G`V#bq%)35(E%^=)w3R{7lP+_(5)_*rpZ1w_y?sjMvjY$8
z3zRSarfCk(+?N#t#2%AV8$6iw1#Ykarpwt#Gw>YBpN=i9CwTaN%$ihlLws_quWq|3
zj44;RUcB5xP|2`IfAhKFMwdW=laVQi+_LmweEdZeZOWKqFW?531LYUuubIIA00030
z{|uLRIMsg?$L(Za+1XtCUaq~r$1akT5E05KL{br{5JEDNNJ5bc(IE4FiiGUUWXt}^
zxF{Jv|DNYOpXd3U=e*zV*E!{`A3XH-KaAZy_sNmAeZcT2we>E8ItX*L7k=Mf#=cg5
zC>!8ngg9(BPasGQv|buG<xNqrT%o23vs;YNb@jY6!*5mS#v}tiWN%;zKBa_d+<r(r
z&fOsEtqSX3gxdQxHn9ioWkw^-`=KEA692^o6$s6f9^Ne5!k8_epF2{>1e&o8nvDS}
zu#e4RQblGL3mlLXv@K@_7e%D0xuXm<GM~f!o2ejfDex=&#{#;-*+-fZlmX1=E)CPr
zz*cB{?sY3RD5yWqm@KIbodLghLkwu)<cFNa=OgUUSLFNWJ(&dY%lCO?V(DNlv%aaN
zodZOF6ePI1kN_K%H%S?#hq!z6<z<aHm^`E5*26%8AcJgl_|QH`jI+xxALIlVVUc>L
zcS<llzA0Z_&j^i-?eB3+T+o|LRdC8f3H+}{{bzcL31qIUgbJPHhR;SP#&krL;Lff3
z7LENZaPe|qno%teFa}F_9;{P@g8rVnoqepJ(^KfNYRU)VsTW))PAWp+b}Fl7BRgmp
zoJe}O#1BCyj6Yg#5`l|SG&H}+0ckIz!*5j|1in>fD!#WwXz1jV{mRM-@@LBF2VM(7
zKSM0h^d=E%<rsUl3=aS|QDFaVvIwLJywH|CM}!26UZc``T#%$5uKwqrC?qU#ZJ#?!
zgnWF;yU=BB2)M#GdPhziSWZmDQuf|)yfIu(zQ_w=J&YIsT#x`$Ygm`BA%c2pYLW{B
zKPV(mG@q`PgyP0R+A?895N6PsTK*^iL05)F1canu>OnRou0Ro*n>LQ7MF~Q?wXbzk
ztTZUp8Qu+0R02=_N$<&v!jLu<T*pWw3-_+mXRtm~f&$ZXdXAc+;L~7z<7k*16frI&
z0f_`fRWhM;CSqVVl1!@pD-VSSK8+suNrDt7!J`w7;&9*kZ1AQJ0Z!fem1LHu3>wEa
zV_U9Ez*@}X9PxG{?94I?h$X0ioHlF0P?jX*e!Z$Y%A^D`!?;>vnkv+)1hk&7$HS+{
z-K3BVC4lpXKhhvI5KtCyTbz;t(>FZCId&4zdvjOKF=#+*5TC&TY8eRkP8jq(M*{tK
zK>@G5G-3IIKYtaAEIcq<wf9USK|4+xnU88gy6W$PGPH6Ky(rq+n@9p{g}JUZ4;?sb
z8PcFJBnRwE?D<PhBw&-e+rmN7g}WzJB+F9dVbFTDw|q?r<gO;0gxt^v#QV$Yi--cy
z#tpH?*eO9GXXQ7xKN!fdfBIn^q5#wns<;1RQUpT=yrXO(z`Xi8IVMK|ewuo0%rO$6
zLif?7SBDKi`3lVt+*g1y-IebKALYPVeuAx`-2l2ZS)&dc?e*X6V~bLd0Wo7Hn@(**
zXd4bcmRu_jUY~Lb4~F95>~y_OWQ-wjse7Km)5*iE6{qx>T5*Us&|ebxXb9JEH;+;H
z<iMlh#YFvnQSg^`HnV6p1gm#nzl71sf}i?ahR>t`IL^7(aDFlbM~#^l=Wo)G%fnLo
znVknjbmfG-o*KgWtBc!BK~f;h!sIGbgo8)AHBUyo4B^w(xlV2_Jb=AuOzcBu2pd$Q
zScw^ed*7Qy^E?S)-XFoeI!Xta)b?~livh4k8}YWQh(i>2OKFP#4(3-ZOTX)D0JHCH
zHe?z^fh$Fec}{c<<0mJ?^)VViL%T^wWt}i^T=X%ZvYW?tJ{T-NdkT=Yb(Ft>M-VJ+
zf6+e<8^PRTXhnlm0dV-mFspcekn?r++c0dw0=KO13?^Yf&aC-pBFhVCfZ|oboQY+<
ze{#yBS|3E8t%Qs$aY17X(M0NV1sOGxJhbQZK)2J4YG9HR<kl{9={Yx$-H7|s0|fQp
zvvueCJ9->2;YXw|nKhGhy?8RJPw0Y@QmNv69vhqzT@Fn7+(hoL>3?}8Q3q;Ew^zw~
zb15^))!1(OLLPej%<OZQHZWvdCz$_Wgri+gyrrFL$;q_)YqJHk!BE=$Dc*+xb|SY&
zUi-WvuUWf^Zg^_J7RS?eKQlU5Fc)`uqVpIl)_foMq*4>;MVm6{JZXSd<J70DpVe6V
z21naDPEF7o`<7Mwg$mBM$%_lhG-D#Mk5~o$G~nN)&p>+h4%Uz>mRO|l9s6s)J(b*{
z4i5yT8At54u-tk@4IiHYj3+m*;IX<oI7Dzu^`F?pKAYf64mFHmH=J|iS#tLDD9--8
z|HU7Sbf7Ho6aNG@C&;c*%dQ4*uQo<6T5MovEAMFOo|?ka&I%;l4_AdqO@oF7&2{Yd
zDeedTxwBZu%X{sve^nsOG0nrzYYh_yf%&+<3s}~dECYc+6|gP}-2Tx`!Qy8q_j;9<
zurAu<$2lv?a6Ck;+di0r&08n^a#&i%>gIj>Cjynh^RRPghcyKoSGeGQw{{h)kbK48
zvAO35vM1=r9VnPr$~{E&bPbD~pwF_8B*Diqo%kO~6l@?(Tdg{E1MBh@Y!ASZ0BuCu
zyrEFAlGX3wEHD0IwowV5ytztnB-lcga(fM%aiQ*h(Dx5ZU-ExvsJ`b<+Gn!5_x@F4
zQoLfWu!DV7m>-yZtO$?B@|9TmH?X^Ihk5l*QbBLWTR-<MA~ag{7)*)(!Nz|Lt53eB
zhUku=8_XO;sF|ILRJ8kxz5Ip`6c(a|R!n7S(}n;9v(#qY@=c67pOZ<lkPcqtyUDoh
z`N-of@1GOKTUf_KAu*5B3=n3{VRUUx9!4_gTtjGfu;P$&q!bb(m@T<>C0NTtww6QT
zkCk1_QywStSdj^8Cbh(v%jCdh_O4733pF@*++BR@zyeDz9Jnt??D^yJ)yH$XG{B#N
zAFwTFgQahUO=cOgK(6_*ViQjb8B~!a_&g3UpGw?1dr%f8Gq+ouw&|dhl=sGxg%i4{
zMEnb0$bevRfJH?z1Awc9TT{vbc(>c;u;=!0=X!FOlNBRK4zBAu=ySu3lZWZ8r=+3n
zY2D*n>P#@W<~Z8T#tWvAPYa(tmWErS31?F+SYWuK+MkP&A5iSzdk!~gsMfVyGEQcL
z38NmEQ8);PX?rAo>PW*lVf>nMGzSoEL45P35Nx|=>AaJdhQefgBxMW-*R+dY_fU%h
zZ{g*EN>yoKy%N3X;dlTj&EexKr^TSO+i>-XgETz$HJZM$#sxfSI`+Ri#i2H#Qv7j_
zG+?(cX0pHKfj>=MxJegDpkfVrbe~NI^vb4ME0X!(-OCxA#(pWVP?liX&X)n#;&N~D
zBLT4WJ@(PLNg67BW)1dTl7;R2Rjohk1!1*q+bcaw7Gk_=?wz|V2l%n8+BjYjkfXn@
zoe?Py2I(!{Iv?bLQ&HqH@vA6wdkJ4BTp_?~`V#6Xy}djMNUGN25(iGXJHLN;?(t30
z>(CS~MUdt_V)xcx0_<~!m>Ua}fOUW7>yf8Qki)<k^mITHwlXtzm6A!Is;#fCJ5GXt
ztjw?hb16^{lu)VlREF2CyQ)>kRUpDEw12Et8m^?Rq!)^)fO3_x9nG>ToHLjzY9z{n
z#!JP1;u{sHn0jmKU8xS|qjwqQlI7q;8++A1CRGra(di9*sR=QTI9baPc^G4=q>+$O
z1r!n&W&1%J{5dSz{Fn(ayZbywd|L(V>BmC)J9S}%UpCQ*nF!KPgJvWmR6xBW`*ZSd
zeK370rkDAh2s&eB`Re7$U~{*i+%^n=Wl`MR*g+BaRW{z5Ki<>x;o(-!%LY)SE@3tH
zP!TxZ@hZLE)9pO*_gKvlLr~NBk<b*O2<1gq7K!o%F!<+bYDQ}WUW2Cv3-)-bg`n$o
zGg%fS=q(2G6OF+3@l<c87ZEaxLL~1t;z4G$>DjeqBVg#^k<s=fz+yWde|$|0mY+9g
ztKyCKc=8m1QCtC(?rU$Bga|_Yi`gAEqA~p4Bs?E}wx_d>@sT^>+`#3@h<rGVA#=<(
zbnTA}2&kM$_jP0g!-OS@QkM~AWgoPYA@1!>E4kBEjTYYEB4yTsjiB!2+!g*~c=*vn
zmE`ZRiecFHds{Xm$T``I-Q45Fz`tI2pMx!!orc+^i>Zd-<+aTBB3cYqhfZ_T-5V#n
z$la$2;WC7>cLD6DT|^*;fj%k4VwLREMV(lAe=n~c+$uVH4#KO{ySynAo8;J}#p3f!
z22g<&-W&|(gV$e=KKrXig{Yr6?i-8(_~`oXQ0NJ6a6HW_Wg$v~zHw6vXYR?rov+e&
z&Vv)uGoL?*cceunA#)FPxiOf`uz%0)!w!}-hGINybjV53uCGc;AHt6Fd?~oi1h>zJ
zC2O6cLu<41%Z!G4kU2fg`i_|af{k1@H1_Jvj;-O0p1Ke!`REoGJq>ik+YiR#=}^`p
zo3mr84iHStex7LC!XAD-9pczYi#%{?&u_G71BE$&{KRG*`@l!u$L2$eC<f<F{bbe#
z<s!eW)c7TA?pd)~2Q@9yxz`&%aa;>jIUSjvHcw&Y`$gr%GHFl@qZR$W98JL3^2g#e
z2C>vfa{-oyG^m*4%ud6a25{LV*@PB<!7_~ReEa#A8rgDPHhg<b142vh6vf*YlW*n+
znl3j`qqLD{DITTj@M`qah0F6D<OG(nh)0Fg=%zo8JCRo%nwN+2u+KlqABB&}auiXc
z4PGCmnQ%2QJAC&B<<kVYaDvRZ+eD4DzB`z!uBrl)Mm4%oGDD`%qxe0iqd|`2m#-Up
zslv)<IUQl6|H%Dn8;rY7GzcD?^H>>Ef$;!#Kh3X8WZg@b(iVDY(9svKtwmi_z-#8#
z)v~S?vbx*RDkFbd)P7d+!pCuC2rJYm`PxDuqc_u4Gjeq3hC`A~;dy1q8kzkVQL|32
z@6^;D-bas6w)Gzhg#_<kS{?}~{6ki{yB>L*kpbx$e2Goo%U_>PA=}*SP4ea~ed$+(
zeJB~X)fdl4g10oIk5Kj&d2T3IHYS)6InhQmt(GW(z?}I#!n+;v+f^~A?*I0qR|yIV
zqn1jbCHRehzaJHfJ?}eBj%P+oqw5!EhZTYKGIM)H3N;$*>XB-+XGPZ}AAhKoR|F~k
z3%7HdX%MbaYOLIb9VNxRdi^1s2w_tC9MwE@C|^R;<ohQMG;+$()OC^o2>~KQ^da=<
zNA>sI>l7S<h~VI>)&#J(&t8n%WI&q-zC=qJA3!h5`Xf4<6`<EVxZe8_Bbo|=JoJ_e
zCCJ`n3$<1NY}W2kpB)o2x3y}wG2}s)9kylPPsu|Kx%LgOE(@}on44Ll@FHtZ9FY<y
z4`vsNOz$3ILk2s!ORrk^k&(rAz(2!1|L<<lu>=kjo;e^K^z9(J-d6avk5wM#2yTS2
z%QzGjKGP<>Dul+j*v|i6lmoi=?^P-hC#pWW-yu_66on?4b287$!GH!QB}#@1^**t(
zv3C_i!TkPVXLjYFjkAw!xR4tyUscFm{UDBFnh!gts_pTE$>Wa-R=kLOlm3I4s3h81
zcRtZ}UmnU?udhGl;73$kcEW2}cqC-Zy8N6|0itN#@9$d?K;2K%4!=>7Mj7<7Joq{V
z2)j1jRk|vOTCM1_W4dIJZL7UPMLq%C=l_evxJA&j2n~yXTXLxBT|bVojtJfa>fhzB
zM3H6xpli3P0-B|F@)%)L0)yv&Y*zZk&=tH}jO7dg9Xp^EAUdoB#sz6n{s$z`t#qfY
zkR(Oq7tibRq>}`xhbf=J?Icm=`{63zWF=%;W0AIhUKx@d{T@Z<;E{dpz~!^%B*gGH
z$46LR6^1DmMx6^%=n4&PxNnAp1n2Sz8cAx<$z3S)P(=pCY364hbyr3+u4|k#0veEP
z$=17aQ5MlCwq2zzS4O`^AO6g&(*yz8vv%}pa%d+=R`q(1GSYnWNx(W%8@?Z5%#wO0
zkBkE@>f2T*qwUR_p=*10MBVi=NwZi5<kcc`NYY6e-IKDoFN4>IxAm<YzD5KTu|1*)
zwIpQc**%>-kAblq4Vz^H0lkR)lovguglwCSrL(sH)L?W|znO_>y50s0yQzp8PLwv%
zBpARCd@7SQI}zDj{?5fRsDLt`Yq{an459kl;O&uC0xE+4+|qu@qWPcDv|eQheU1a6
zEoKB%?vuKfT_uH1$VCq7i5Ni?f8Q(qTMB62O#1!X5D9d4;9XyYlM%FSskEI9l}ExA
zQ_>kmqUg3o+{U$QM)0>q<K87>ITW7AP1o-zfUeuA1U>dM0+)i$g|sml)O=+s$uXM?
zbshhCv+J-C^oDuvXLgoG{2bHs_S0;L=U7zi5R(yn(Fl7_s>h?`gsXM;JLr*IrrG81
z<%Uq)xN?C_SQ5>~-@DJty+zIoliVpjX$a)mb^oS7ag;W;V0prDkt|)p_F;3z09-a}
zT3k9r(Gl4(4a$u!a>OgIz9&}<Al3kD`Fl|qQQDVZFq*bvrCe8c8g>BYKGq2|IUhvC
z<?AHs^$DzC8u#YEy}bKHKn|Qid`O(d2k?6TVPEg5@K3M<l<DLsm?3U7CDa=8ZeSU^
zJr(+|M-79vf)gSiv=1OPI+>pui>p{&Y;<g~wLa_%Dt8{7;XnaQ8`7z~YuJ{RKG7sl
z4?_2g<ljzZMbca6vM6`gFbC_tXY5(JU=$Ia7+bp^*%f`m(*&$x_k#VF<=S<CsXL*&
z`w#;P{vfuizDB_u3uYFA_vt`(t*nTYA}#va#rU7EG6id8-zQmZstsAkq-OoSsgULo
z<L8-%tJsGbIGPo&1^S<U673fMkt4CppXpjFSbp4i;+K9+pmrDTl~3CsA70zg9hF+f
zq(b#td*w7ia)a=CsBV=!`VDI{=2^nV+ll)^!Zo1tduzLv=MuT?Uxk>a*djLj#U8ni
zsKe=~B6i~J9GNC+CMZpF0b}(%wrXIY4u>Au8T}*wB0pf6V@VE~!y47Yi9cSbLFv&O
z3%7K~$cxzgXU3%&tocX0+!Ci6RNyrOWgh$>kF&ak#H3GS0Yw)N9^1P&tqk=RBVK<e
zpPH>z91EVpWG|kd`nIM5nLS085?bHLvn3So+@xRFW>dGVwyz50f6HQ%N<`!ZlJU1&
zqmvlFG^gv;8D)^`88Z5pP)H_yAN=*geG=OecM5Ud<6_1eRU((?A}|k5pU!_GlbAoX
z3w!r03Di2Hooi!CvFRW@oh92Owiz5wSLH{7@zebH4S6zFC(gukTX7P*WNYU7_m2|j
zD$DA2^nJm~oEGEWhEHNeo95Kl?kGWRwZOj1ufAccR;uxb_x-|7KQnL=;@-QQqNtTJ
zQ#-KXkq|!inqOEO=kNMrD@AZUBcgv&`#W|!x<*#_`4o0T`uH31kUc*3{7Jmg-h-X#
z`OtHxW*TEIo6ERVNC2uUVR$u{e(ZwtR-iP~EXLtxq8vP-0JD>yM*G))U<4DLNAq!W
zn5OC1Qhred$QpZ*MtCxW$v@EuQZ-q?GEUv3QFoJvD{yGrlsJm%H}d<@X)R)IH!n=T
zdnpIB@T+J4(=jY$AT%gKZ3*i(*U}GNmjy@sbF(w}3G7RAsdB5|G8SWX|76G^S-AHw
zM4|P|Bv!a_DE+_I6|DW;OUIn2GO)0o=e8U<g&m}_5$-=u!DQGyXUG3Z!?RY$z!c9J
zEV@!HdVzW!%h>HJ)^d^tf9n#evVb{^^S963&hQ3Sjr(DiS0@FYCxZA3UN2xNMT&VY
zi+`~%54%7?Q3`lfjlS~m{l@b7_aB>6-NKp#LrxAo#e)d7v_JdE5>_W#U&8Ql2fIM~
zYpsJD4<l!L3l)#AV5+8)M@MR@z`O2>sC<$n)Dw958D>{88{Og_H&Ys@5`UK~#3>0T
zExYu$U#wxj=qA1zt<!?`aogUxM-s3^Gp6@n(gt?s?flP-E_%@Iu%XQ0C7|)1&@HN>
zzu2ZBtM}Z<K4@xo7mTV92O9QBy~*u=*prUg3P}kjkRRSrwX_k3Qdem|h~2^7<b!W%
z4hx*ps%o8I7lVY-KuL*0DtLRA#r~2jJFKX<scPkl!J9`VDoz?SAbe(Q{ER9Nq|%30
z^zFppL`C~r*c>ew-7?zH7~uqh$kSy*-o5_g*N0-8=wTZvd5^#60!_Y^(C-tXpwfEw
zTwnh_$Y5j7R;u8EtHxm$dTK>MDK&4EO^6B1T`pSkEb#%uh02r%uS7xGI{B``V-~Qo
zGxU4lbP(KT)4%k-6a`h0YvjxJ?9lT`5SKwO3{vbbg_p^qpy%F7A`x)#quZi){)#B%
z*{3CqEQtc1*X-4i@0{RS>==dii$m{oN{^F)7>E^$_ngk*g0916exYOuh#2p_KvgaV
z1@WT>{24rO&-|BaNg5usKR<M^uos5|8NXw;$$UVHnQNv=mWKFG5!`hO65z@F?H51y
zL2wVN9`7!cg|=|PsbyVBXv3c6cV`Ge`9|tg+oU|0jB*ehlJRgby=c5eMid09eA7><
z5+O13SckcWG`u)uZLX6k1|H(x(cy=c;9tkrb1~|&Fy_tadrV3Ka4Q;LFJIr|-Rf<q
z%8&=Q_RgX!^^(v;%(A4-QwB89%#rL%1dmW|;j{oLxSe-=Y_(Pe9CQ3yOa_&JW|nid
zPfiBzOken0QKbq~k&nNZRx3k?P=br~FIkw?E~b>mt3h?-r4qg$s&FB7H*G#m9@wS0
zaz2WwgYAOTSP4-B+{xbVZt4VhP%k*Fe?c8~7nclvmuSIe&RdDNw?vrbi*p{eRfl>O
zv6XpiU9i12<+`w?2<??p=^le>Q0bktduCf7{_S|2>I+u_Tk6V|^(9qk{P^Irek*{F
zm%HKO9+!zrX!h==seswfg0Eu?hLCf3?2H!+3G$4|XWa)#P+&xTX+X#bZb;s|($27V
zw+pB9&c`c)OPr9*F1;}<rK}$iXi<U!*VmOZdt7UNtoe|6nK2ytwOX@zS_#}H4S#mx
zq=5UKfA5T}30VD&vMvu+1nSs(?%qmb5ca<F<4YG4=n4?2WSt<uN;IK(hKe726#Opa
zIh(+2*#I>^y#nkl^Gb~a2OR!1Ib|wu0+seh9x^S<!snA;qdiVigIyo|{nu^`*}_47
z&p%4T;-Gj>YWyh1!cmtsWNQqYe*)C!eDF|`cEp*_c%IxVdvqhQ$p}i$YpY2KNx&Jq
z?Q&_IT{7u>idlrxUfnX9WZ5eU2XB_>gkEMqrFR>v?<5<-(MXbVpotJ@l1u{{lbO+d
z|FAzFDF#5}*QtAkiyvsF<Qfkfu%npyhsWMH7(lpJy(gC>H=J%eczAt`1N~ZPZ7gg6
zaBID4D;R<UoyvneSP>4<2GP<jYXMAD2~ZfcSU^WAccM&~6Sd!AJh^oq1EQ4bk`Rso
zNCo28ZXDgKKYW?_+D{)67v{AauTz1j2SabcF;3*Z8x?arQV+79cii_LUdJLbs5;Wr
zI8m}#koCWOU6A>k+uM*jk432o9(QNrL^Q9}-C}!n;37FC;7EEecDqU4%Y6Wcz6`w_
z7{TelLekC}*|w6*K{P*}^$Le5w;SXZ?6konCO-=AJW77Pdi{xdBo66(kBF;!p#@>u
z=X0(IERcQ2^c{LG;L!5JV!041EpT%U>mNC}N;dap-CT9Wp`+VtKG$6};ku07mHonh
z$ghl|UWxnQ5WdW>OSV}9CXN3LJP6(*uP4?&f;b%Nu3*aN)7F6Bt{k`G^r(>9;>EWw
z5e|K}R@PW4QHKXEt1o8wX^<$tkB=iOC*l>L;|(FILlcE*VPJq3Y2WEy#0797A6!Lt
z!do@Sb*4>zA4!i|s}sLF|K>#2kt(Z#dTJ2dM>13u+lO9S)Lp8)a{$pzeejlTQ-%44
zWU;6Zj3}1+-pxccF0}Aa;CYj~>fU_phHcE4kd=t;i$l9y$jG{GQIbv-7!Sn_cMmcn
zzp&&;iwSO&&DmuV_)-NzuhdVqUt>jwe(rOi8|OhqxVUT@TNPk0UwrjOgdJ@eDi@CY
z<3-&s`kxY*R6uE7+q2G_10@qYx=cy@D3WUNmPdm!4DR}@#98AIhyDS-N8tkKPojaL
zO5C2$xTezmXUK`Z|E(zyS~`f7W&VsSo>GQ4UIo@S3=SZM{?e&`!9r-Z^G6mtNf}%>
z-8YJka-naJUFyX}MNn&C4pr6xW%zXY+00jOZe*}<bXDMzDEfWzR63bj8Lke9nM|ki
zAcb%PQpFiD<b<yh3fLk6+sbWM$^b9AS}j#;<|vMStDj2$MyCwnG<qf(3jAo=2<Oo1
zCV}?2+2+qdWvDz><D;D{fYfhtzMl@1M9W;ym(`7wK>|NlJj5i3k~(a>KHSHn1GQm#
zT_MWgn;2~*{!j?HwAxPBmPnzbFM<2`zA8iiryU+?6%nMnyLo-2TN+vW1$ZBkQUNBx
zpo`l6qKJ?`p|12t22BXk&Ogdffu-8G{uN6xR9d58yTL7o23^$0*Cka!La4yZlq8P+
z2LJ&7{|uLRIMr<!$L+oM-s>FeoMX>(A0s7&w^S&VtYjsXL`o=I6qS}jS&39A{cc1<
zB`R&QLqulg>)-p2=lMR@^<4Mo`yn5Azwx@3Hin+g(H3tp1m-sr*3MF@_$OdKu9l>O
zhxsiTW+#lGv{PZaf=LZi#L_nli|FDZef{rpn~cG!B&;xXNDUKCHeGuEMHjb=My|f3
znn2act^+AA)$zY|3ASyKdRU!1a43>&3hy~5j(xkSfs7v?{N4@f;q_A^U&9Q|K=qeU
znSH1x5)z!#;&S@<AfF>_VWT<7CatzOkhPHBb8_svus)6s_cOT%S-@2OE>Vj%Ej;IF
zUq08Uhno^knE%YMgu?6FD-+yFsHCZT!COZUmsSJ6DBiPzA5G1tKRhF$@?r05O`CLa
zkUVva)M5=C+U$ew{A9fR)%6*!y*I4Wefak)I-~}-4)IdRm=YTjD%(OvRhQ`(?VbSp
zpE3RTMkZsyyqQCSHVLi$y?-k<0hH$1ul`&j;g;grEFE7>%<!yF9+qOj*h7I&VMQcN
zUb)l2eNr90KlYpq@nk^#KOQj^5((uC8I~-`s<=IoN3TAK0q>okN!6aw!l3r(;>Ap5
zoJnJ;e|U=l=K{LynOZcl?5c_IKU+n-F|FCcRKfsS^6{w5UmBPsq!&DxDT}c;@aWK0
z2AqC#?o-CJI=Z~kx)~rVg(Zte_8XmIfYevry}^If@bIp<(;<^$cp=S-hjSYPv_HMb
zzuu*ay6SuQ<m5zfr+J#mbp;0453?E{c&>uudg)J0KoDPxP&PAu04VQ08C`u>8H<jy
ziUlq4AkDXAhv<2L(J!Bee_T|;qbVC|Wdk^|`Cii&ZhHW+W&U|zQANBSH6Qiq7#p66
zk=$6-M~9?o2giCYc`V9Kxxb{wf=t$%=0{EFkmWyhqf<f_7ix%Z9#1Cp&)}<4NwNlV
zqG8E-hBTgByyqM(y+W8!YyQ!{Si$noGp-FOlIRq|`|YFK5@D<4Ky4&hLEloy1Kl}s
z+*QS7WU+aX==c#Z_4>Fad=L)b^D$lw7icSVzF!Lj>C{}D**goM7J5@zj6{*UMyfxI
zcab=q^-HEm(*i_lql7~_MewI~0c-B9MM9#2CH!=pIozzvGz?f2!o?i!p{LiDh-6BW
zj#7^q*!^d({7X;>$E%|R)W?^J0%=L>DqAy<`0DN8eMSH^|Bjycn6OHCE%<nQm6*ai
zy=C1NGC%6EZ=W>1%Y?Vhl4q^NO`&74*HM;}5APpWdl>nE8P_|IBKF0bz{0JF6DOp3
zF<s2ATECM8CB==u{g^Wb`$mef%5ENXpF1}EMt}`%y@VVehZ+O-j!@IRAGxvbS2c5{
z7dsl&#4hptHiEmqc1^uL#*G#yj&1g7=D-c(dw+HX8Nv4`0VY#NZZs@xzT9EUg_`Gw
z2AuvH!i_YR=z2SDoM-Fq9Q?|Sm&*2$!lDf!CdBP!vp+Y^+LZ(-r1GLEr>;OCuOTRy
zI8(W+xKZvH@oKv}KT11)*tzez0qEBZwq>gD;FBRco@aJ~2$w&Hr<odnWd}$<tl`1L
zAaYyK9U;8L|2|#y6Aj{QhYgh@crjIG>)I9)#vQfsjG*H*C|wM6YuU<&$f9v~W<&&a
zb5^(?tJC0}@1lIK2S2VlIltUZ7DG1mX{GQ^D!fbU6`4sCz^&|c-M?bRk?qCj2)1-8
z2snRVtp6g2@>?|uCC4Q2%c%3mIVUO{yVD#mT_S|u%|o>Thoo@Y#A*GIC>74-FFk&8
zTo^qeLc&H&1`SQ3V-or(z}P;0JJ?$U6C#Jh`rgUnzenhF{Rst%K0NpT;U$V0Q|o&E
zE0IV2xW~#0Hz*+I-V@PqPz*omw=db{E8@l#H!YqF3RJ;_)T=yk)V$dEcJ-?gDv#7G
zrX*7!Rw%nJ=Z6G#^T9^hX=OC4m^(F=O@X~}CokPLkwVS(+dsl&Rnc41C+<=i1%7Pv
zKj%~;jWKWIX4qZSu&VUvKIu*hET;a7%QTY3-d(%yY|2!}pLz2;ghZ%dIUy>o{6!82
zhrCC)ziQyLRI`SGHx=~0s=cM1S3r+k)(P_3KBn}#ov?U8g@YcA<@abxI59GobvK%X
z4`x}%Kibn^Dg9pVI(21yTgHAd?ll?z{^Rsd`c8v<KcjR{B^5NR7#<E5)xnTkGFNib
z3_vDtL1|oB6=!#dYI8X1B2BYr@uRyT7^c6<2-H-=6GjhBYy8(ZGAb|-%P@lElDN^U
zy6X7)#$l#WZ+#S^)lIY78ACZo;g$-D29^gW%;!r{FsovAwr#fwWY~w8tLSK=B#*T>
zw+{vDO$Eo4vP_}cFYr;nj25OuScV@;r{L}Ptg&64W^jrumKQXqg#ni4N7b__Xs8gJ
zl&oa|e2>If2Og8~(hL5~O(7J#c2c!?(@9G>yPxGukT)55n36pY%2V*&#b#EmPAk}N
z9Qb_i02vw9Ee8we`be|?SGqx&4*Jzvk+pPf{2+39D0oa47r!{JI_LoG?yB(L7Oai0
zbf&*aY}CPy{vNK3T7cH`CM1so+UPX9`)JNSGM=zhtBy5fz|-?VXM9YxvE`QYZ-09&
zd@;-3+I@)uP7D+E+7D~|TDK`Ng;@jB<=fK2h8Q4JcC_5yhK%<_U8`(MR54vDRZLjU
z21>MTwa&zoknHkHuFh2%FANErG@00d6i-Q>>kTa|+m|L4DXf6=n(Rcjg$+!X?BPC@
zr-{#mgO!3FOQUW>Sm*(g4d`x9cDov_f#Z2)T*5Wt7~A^hdONEPWdF3@blg!Ltvy}c
zk4cJPT5N)D$r}cQ>G=Qa<5ffEX_+1CTli6^GdX&0je{$@H<321aVM)f`>~A`7k&w7
zc~fM;fRFzgT~gwd@#gYoPPuce*b`D=5;y=r|I01eVWWh`k@EF@A*;mE_d#tpk^n|{
zYlFt56mXii*hqo#k8ob>N!myT7_0xBve+z(J16gjEQe1M*&Fl%q_XHxtgIbro+XWf
zRjxlXzfBOqGOcXe-&#YmWKeR>DM@t8-r}cs>o?)SO>SMsYYmaN6VeNF#4&4Hvuf01
zn9v?GFWcs51$$3jc=@qI6hpns)I=@}5eLQto+qVRLiE$7)@#NhI3VJ%>7(Ef;gAsf
zBfY}{4i%7@DjS3_UH@t0)pJ9{mpe{fALJ~cVBKPm?Vtb#e|1YB4gVrqU!N7da=;uU
z_j`$JW%FU}+xjxwu@RzPyJ(n|FoVNY)ZD5>9=xuRZDJlhMtt~h(@k+nGdTA4ZGv(=
z7e2`_FUhr<Al#z-_r5-43OAy>luyt&G4YC3N%_bmVW;*+NcN)%=x#f5{#h?OZg7#G
zEUKR(=1eEgO_-Yi%PrPZtgqNGZu%puT;&XL)+h6}d7&|k#@p<R=x4=>jMu(58|Da`
zJ2?|WqQ*e${`x&lj}^zAy`P>M`$z15XKgv0XaqBr&A){TSy1Twa%i~W5;5XY9ZFj<
zgca)r77=?E{FzH!^vzu%jFd&R9v?G=k7wDNS9n?QL)sm7?NlbTse5P|`_BLbdF-w7
z=a`WetK1^=gBiK3j>*Ty7(k&3h$?fi;O64~Cx*a^85|tp$Zh~TH(YRKHD*D3A?LX#
zkJxbTy4mr~Su`*XELJBavLHXfFpyoxf#vC2Uz@Aaz@cVk{LKstdT#6sXCLQ8NaPl}
zRzn5ufP3BX@vL~qDAgrwjc*z*eoGhsqXK<!aHlbi4HKN5)01;}k+wrW(ruCgokb0n
z@~dpfvA%d)?Nxp>9I>9~yg-3-k<Z7QM%nSqj=4+cTLrPeDPMNdiUQ#cKU0|habRe5
zTKJ@}Fz!E-D?@zN2bR8^x>-#wd|N%WxWP>X-<AaX_%QT=ETw776UB|>5cQkiD@Acv
zj>^^t5A{I4PgibWf(K(mT*~T6;@EVfW;2@UK`$iV3Qp(4cl(Z<W+x;t<B)+(bE_^)
zOntc4uvGwm%l`^(S>xRk|IkO4A-WK_;K`6w6~b2`k;N+;WUycRN^G}^E?9ozyq8TA
z#^#>FCkeK4*yEu4@$RS&umy#Fmh}+9spUk4>AebgOiiVD>6H!?dQ0*CyDW+cRu|hD
zTa<9_D{sl6CLMSuX*(M<D~1Jodmc`mRmPu@{o52i>wsnH1Jhf<5?HDCd77_71>;<t
zl!N$mp=$SU&g;xl_^{}Dy`Y{NvYqm?Ht^8}{ihKmwfoZ86Cr-AD^GpxpT;?s_vu1J
zn0MUeI9VKFBN{WMHPO~Uz%3|454<;aTpkUTN3Sk=l}&*bW<9BNwGYw<uAPqe-J=w7
zv&_D~-6mxG!une;hfaYOk1ceqcWb<x63-iZtBoC>?;MUDq(H#6hng4vC}VM;`u*+R
zy7+X`aYnYB3SOR4Z<D1}@rp#r?G3|v_^;|jfc*s;EH?zpx@=U#kf){J({v~p6|_%=
zcEbQJDi>AnKBbOATBWo1Iw;8YG>MP&))2(ZDi!P>Y2Y>96Q1IGsCd)<>P1}zV+iwE
zzM3<niN~qFSFGMpv5BwrPH~zE7*KA|mUu~c(zT{INrZ;J4bN{WOPRqr?;#y0c{0l9
zKWM4fq9Oa8k5f#K%;D49&R-3p+IXp<>&qQ(8qREraL(Lo33cKLe_e*O@p$Rjzi;=b
z_~4|DvIf633^32|iDv5H{Yib5opMx^|JKcYrJN3Q`=#rzICRm^Gr*p*iGp6W?>X7?
z08}eBz6iG0MV{le8{ISX(Bh2l*Y8dY*fO*{TkNnl57=GStf7N!rdh(52N}>bC_&rI
ztBV^}a*B5xCSmh~l$QK`Hb9o=t4dkBH_2~C<bJjW_KtVvbfFC#JYzY_{8bzO{_!`p
zzoLrS*~2aKOEz$y>&S`h-()1Oe>Bcrtc06_lvv!QY@yBbj3IX$2`_L({~f(4i??~A
zMCZk9L3a*T&LwG~dS7W*tE&XMY+iSpbJhkrU+EcB)HN}p%+4TSt@lL<d}K}}Y@o+_
ztF>n78rNL7`$zWi;Eo=b<86m+;7++`Y^0hRrha;KF@KQ-nLBgHR`NFR!Tq>l)Fl<X
z>L~5ee*7PC$VlwJueA&)D75KL6;{T8q1Nu=BjZHIBiRW9X9h6m6OCQ!ium)=VoZqo
zcfw_1?j!sJc(-!-@J@R<yw_t=+xM!FVENE+epe_!N@LNOOOiB($6YnNvf&+_>vL93
z*%BS3e>w!OpOe5^*HGIXpMTIFifp(1D@TX7SAN)i%@RWezg4U7kUn}_=~(VI#+qmC
z)9CrLO9YQH&j~9^4$=#X80D*hR^XAd|GI#?5Q?zGm<`(x(XFM1%W^JT!h%Vkw>2j}
z{wq3kwRh7HJ@CP!^uRTr(yq%m=~csxLwmi5bB71%2i84jO69Wv5B1!+Z4Dgg?J8$=
zXRe=KnUliRx7i%j{Af>9<k`^6cc-5yTOa*i#Ys_mt{GfCdhI`I3p18@-WV}%_(?y_
zQXA+!U<&KgUPNsTUL~a5`*(R?{!Sm-@Qj(q%oNCzQ!RGwi$th&iX-X7C%Q(a*Xh6K
zOrVPG;GX2Nc_JX_37eQp2R%RTz2~<-#*pY<b$D=UhPaY%W4G1y6}_#^)AQ_q#;~6L
zde6NpQ$!@2km?Wx>7LCD|HfJ)h~L?*J9TA}=*>$xB<EC2XD0QZ+pcZ|z1{(?tDS#{
zlb4$65~nT^w>Rc|mbqXEcdtygjjaAA97+?`pJuHk$Po=yeO!jX+?Dt<sc?jN5#4j@
z`0-{USb8iy?W6(J#P0WXulq$P<(+uJW%QOv?78MVw@8DNy<@dLv>}2bUBAC^*Lz}@
z-sujOH4jQDjo)U#I!FZUwIu~+d?Mm@FwUG`rh=B6k@tPo0m7IRT^d#Mjrh^8D3yJh
z3V-Tjs#Q|^i96bc=0tBdaV4=>ZHSKwBI9-ub4L9{pXbarSH51tNAC##@k<ogZvD&j
zrEEVD|LefTBw9bAZ~dapoJ4^><+|+_X8pwVjANa(`v(cD7gpVxk@|4|_2}nc$^FE#
zyO6`{N52T3-?CjJxAfrhBa8k22@DYNpA=^XRYr-iKBj`}A9dmERN%?C4Fg2}k+G-Y
zm1Bh2z=$WAUl)pBi*y|?7$hRPeA`5fCWwb_CsM*4b$}Am9Blk>h=@16_>;3_k~s9`
z;=X-p+HmWIdv5yNFJeU9F5b;zicl|-*ZKXC46Z*1<{I~p5PGR8p0mHF38oN-w@hke
za8mS&dLr<fSP|%t*J+w1@<W8;E*~Yq#@9|we8XeJcGZ<lsg3hQrDAD8%{wiKnCkgC
zzW9gmcs*XrIk7-Ulk<ta`dXlRC0?>neUjj(thNA7K(W6rxGWQct(>n4vNfUB`T5;%
z!G8%}>bZE+(N$u$&8y<_vIdmdPdC_pnIcxbG%QlRnbE15LJkPlfU`G5FAN6G5R&h2
z_%;4z!FlH+tk9<pI&Vj^4K(J6YX*i6Y$a^iep|KGcegrxs7uV{5d24oMX!DjN#($<
zKrIz&uNqYM2n^gMEfRm|Y=JS?xUktFw@Nrj4ZijtuAhxsCL*4xWC{-OU|?d>T=udm
zumq>v6lY_?-iBX}A-?>`-IKBCm#YfadDqOc4ltvYlzhr<5h1j8d~deTTowEpC!93q
zSnw2l(+a#GjN7zkJF<pU;MC1ShqtWd%d1F!V`nXj9ulV=EpDj5-{<Q@N6vDfxTL00
zxsW(22F|ez`>H_Tc}o&cE*Fw-6}o|tBpzt7DvdT*fs*FK3(8-3(3Q-gR}In_RA1d}
zuA~Aj-J$-&Tlg_?C%1NEp)9%wT6p}BRso#~4o@8pAxs!rF6XpWK<N`bk8hJzz@<wu
z;q_@@oO<}F<9C`8ZjEQ+jNYaKQl9lXN7O|ztL6Z4T3Q9~XDy$b%vS-|1G~AK$HcHU
zq(0uRSrt=EI!6LUR3U=tO0sdc1lA2vjg!u)qX5}bjC5BOo=_T(a4t#VSZ8wTvlvYb
zsC;o~N3<IB#&Y(vuam`FXLW9o&yvul{*kFjf;ucIK2&ylDv!zsM((UD*G3;(#WBZr
z4e;<dSd_Wu(Jw5wXq*_*ML|P)bU~mNe0ZY~dE<&QdL+J|v5}<Uv1j~glAdJf8QNjh
zyXN^5D^_CrEvR_rfxoR^nGOiuqfFM7t6>p$UQE&s8fI=P3~=<<2R8v~faYcmWcShC
z|J%m^<vyPykvC95_bA`p$T>|cZO^^XwAB!Ol;eCYr3^svo`QqyO%lE+xi{=BV}yFb
zHT&)=8o^w>W9Jb&Z9L+*f3dyD2uCwot~Gg>fbs#af!PinZ0z<IY#lMe&dr67_n;Z9
zKQVJ*Gw9*Y)P!F;pN&w-W~<W~8%q$#yV}csLLUdd4(7kyXN0f%A2E5Zc~)(_m`JHL
z1s||&DcW(y5Tk}2bt8%Z5)#~uH7-(c{C2&Ko~;4W3okqPbTELvvMw{ZnSw>Sg#zoZ
zQ?Vk`#ofNk21d>JMe`de=qld4<-#_7yqO*w+x*lPc>Tst?@yy(wYT8X=>;-gy*8V$
z?SLJ~Jae%0)u3SPp7wL8UK-f5ZQ`(gw;i-6);Lm>^>JFfeDB{HWh}krT>VJe9tutf
zZHc+5i#bY~g0n|u&`{#Xs)K?(c%^(-PVdr24ax+ol!^#mQEva?F=Ypt+Pbft2S_O7
z??7VT&W@oLHp%|^cF-JUu(0R3CXQ^@Yzp`?LGYIU*iuflgVWvqbzjb_W59}7=!(jF
zdd%Z{t)y~WxVx%!(_^P9T5wtU7rM>TwIaKVzscId!Gk4kVPs`&rYsmm2(rNX0e)AH
zcpI=t)EP||QNW6(z=cjnPRM$8s_Nk=174_^TiP?rpnq~k_&GUVh)KEkKGTf>M_zYj
ztZGZ3pT^9=`e*zQE6X;s@fkqrffKP0E{WiirP=wiSV5qf%F8&L0W?xh&CKKpU`uYy
zktYlxcoOrnAUTi@ezqGMoU*wvV1c#}87l;Z<*aPwVb+jjr#Ampf)zhsOmf0hA?Uqp
ztx_6q1)RUP&pl%-5x*xNyR{w@g8!yite+QJLb!8UTgQJ>M6cUA|A$+IVAHW}cSYV?
zKqud&y|a0Pgq%#&*Ksu=7~z=Tn#pSc<C;2uPe;8YG_Mu;*^COp!ItM)j%&T*DdUVQ
zYeFNPU2ffV`o*>U>njxYTsDJMb&;d7<ezk38a|2k5CrY(gGoGpOo1`{pMLz=5&EOv
zCqEcwf>3sO^2&{krm!5yd!c)Bl75NZux5E}9@eX&l~Z8?@;5)cbfC`C-?kfQJlG=$
zCV$2Pqhw6LRPw!jtk?qGIAM0t>z*JiJT3Y(lVS|_ZS@pg%9iP^2Q~-fiVH!NRD1Pv
zR%6(+>C_&zcqZU8ug?qEF9adUAtOzvjDX^BHpyF-1=@EUY}@of2t?Auwc6Q@;Jb=t
zVC+p+@Cjc3?ejKa;4_Pk9?CF;7j=`a=M>pt;pOq!%t>Jod)MYAsALG;J=Z=PT;u>&
zMShj#0ulJTpVfHpLj#cYV7ERm%msqY+2*AOMd8eCNhkI#24H(M@lH%8HyB1d;W6AH
z27V75bPZ=|;LTfJ=OfJvTMNQ-E#1W-H28|Y$qgDDc)Oi9{2m`z->M-Z4og6H<-Ytt
zR~l4|#7n2R3qZgtx=wbvB+OF-7cF^c(9m<dT!&8x(sz~zZ)TB(HqJYhv{ot@m!!vO
z&I<vn?MA*W5i;<nHf(tCJQYp~GA?ZWD+~cG+o;BDa?ssyEr&mV3VV76yiArvV1}F-
z<x?dOV_ziP58G2gP;cw1k)#+17#umm7pn*!f$dt{dQ^Du=R)6kJ8|e;p((OFPy$1)
zce(8<ROo7o77k00fTqyo4_j-MA<I6;YetO<)faZYsQfAkqgttMU9Bn*No{ynV?>36
zHO878_R?^Wm;UY2s45)UkpATOHY#w$duFyilYzN#QxdzRI%ssZ$~-u`cFuF1oK<%@
z@T<DIkKIWF6kHB|8ht~BiTbF$T5Jj+k#ub9t23IgfvdE)RFejGW(A*`H!8xsIpa=c
zixwE~_*8x*mj=l)zl*J3D#3X1z9=0wGURCn+1ynyfY$}eTt;iTvnMLzOU$*Q{lL6)
z)KddUPm8(lP@w`*{S{j?_UQnB80%EgQA2QUX8CPatP1WID@Tlv>Vk!eWPXgJ5d@0O
zpQab6fxP~f&w{~vz)S16dCAxq(!%mL%wACk_q%;7?=19zv&`jvow*4N9=h<@FGB+k
z9684J?u$OK?2R0}yww!k0@5!D9My!VWsWoT3KS4zdCA#&(hNodiYn(eYr&+S5z~Sm
z1;VxN|F}_S4l;%@*S-srKw?<rd9O4DD)ZL)nJ-yD0&QvBvyKGR)=Jk~wff+ia@pXz
zwH1Uf2Kt-Yl0kMVGemJr4}NHB^|M4-!}<pa-8XNO!Qt_%Y>PHsXbq3B(JG>Y%wrwy
zvwdVZxs}ma=c5D7zPt8>?gFTO^EUtM6d5vKa`-AdBt!CfK@o?~0B?9ZYuh`?Aa^Xy
z+OACt9u+<A+zkvc?NzfDO(lbLZD>RBQw?~wv4OfFn*oirP6N-x$k5DO<h1|18ql7P
z$|bZhp!ZzLtCNRFVEFi;x5!=<n2>U6$em_D*TA+$y)rG(U)eQu+E58vtv(B`u-HIk
zxE<&7CQW$hwk!3knH-46Whw|PF<_I7?-_Pn>yHsx{i;q<u+w*M<ntZ|>=BvWD{)&L
zOwUW2)m4f?#_M$3yoU^U&3|voHdYPln2x3-9}x!MR2C`27zVhdU-B#8tP1}rXOy-v
z_~F2fzeBdB3`mt*pUoqy0zP8H6;VE1@a_SV%+3*jGmWtYvBOHRTK`*g#+eP?4r*nz
zUjV2yy_w4#qX=w$H{~_{F~M-kwvA<$0P=P>0+KA`;rtGseIN6e=sUk8&}<s$F!Xq`
zGEqzx0?v0NXQj;3xhtd#)j8<!7n{FC^GU;rKQmA7CC|{?UB^nOj@Iy+G_Y_(LlO#<
z>|+a}rsxxG5`#h+R-oYJe~igj9G-_cKdUzVOYbzX&|Lj!34v2z@=ITc!r-*y`IUl6
z`cA1w*Si!gA+e;6y~kAq)EEz*@!XoEmzWOwYz(%5i;udDO_+q?Q<KA8L7BhwsCJ(N
zWlzmv{cgXa#6m%sAAKV-JN=jb@pMcXL(CikXBMW9Wb%V*c1)$A$}~NqLq0)2#0>Hl
zN-{`KdExn|4NK>;XXtH5nX=EkHibYDt|T*U9w>@QxcbRzj@~F}8|tiY3g#Nu1?4|*
zK?~!w-ASo`bR$uLvV<HHaQw~t*x>;utP9n-;48mKCsDMHsI!<rn4wpbeJclqJP{TN
zU%yP>xYdY43O9z5zH5T*A{?-Dyu-~sca`4B_SHFc&<N5lPI2^{Wrsa&^`oV1%-}-t
zeB`v-2;3X?us$TSgU368?J>?Q@IL?m0RR6CmuEcHZ5V)Y?7e00&2f&s|F=Vg$ZKSk
z%u<vjiXsiGlo28-ij*XkQNnp_6;VcHWoKs3@cMp#d7j_zzOU=rxj*~SuU{QX)8>i8
ztJI)zh~de4Ar30k?dIo?tAo0MWUBceYPcenj6W+v1BT{X)4xa6;Ph~KBc6f=Y_BAX
zWaiNV;ria*f9KSIgUMuDUY`b3M>fPWP3R#qwR6{LM-~2U*nL#aq=7MZnE$!M0Gs})
zg4{`}U{|Y_d`pNH?z%~2;X0WhxA)uPOL<iYOLvrRBh!MuKWz}(7Z$kxXQ;%Yi3pXw
zSJEh>=-^IEUX0Wz8$7Y%zfU|v1d5+8lidC3!DV#F#F~QxULB;gea=Y)&#4!q;UNrQ
zachBQ=O8E03i`|MAp)3`etf8&%Lr?=EL8zXTyQ&Ha^z_+0d|h8C*-a%!8iYfnd__E
zK=IW^kBLZts=hrb<p367mwO__d65@X2b%B+lPZv!yET21jScW&9PS&e2VhU}@vptB
zDzM0(I(gTh9q5<qdN-T+;aVYX`mdx4l+rgp7dgcNOP4mIKV%ES!NBG%sX;s(t!}6B
zzsw1G;re!u9}0tvq<`ki*LYZspk}?1!v%a_`_9*viGpC6eq%=p9wZ%EqI^fWAzLG6
zc63V&8tXk`Ez<B%@?Ft^7vlx1Lr1226(wNgqyjTzDIU)H<}`bh^1*KTPTjy+NeEm-
zi{2}EIGtKaF=xsTEHAc4a7YRses8)(>7)X;t`>5!t_VOxp+k7Nm<%+CK3r-aRe|`|
zWSe)DLg2`ew2^#Q7CzR5@$Xp?AW^`|ML$~vQlcBX)N%6AUdFiUTT6h^7~i`^)?%Pt
zc>V}ixB@&6^$|1qj|hSjew-^#;t-K?QP*}=5pJ4}blv_(gd{ZWXM0ux43A%l$o5u-
zxTWumvkj`iCf@Cu5GM)FDZHUlwRkWgi{8s9QiEAdI`_%~DL54;Wr-*W;99_=%v`Px
z%OS_2rCOyybc^#`_&ov~V@Z%egBmc>XEkCpD+3SxYVcDOM97`#zBMnY1)NLYtE;Kx
zpzFfb79U$8443%YS>DtJ#%msbq8a7EH@0}<%2gta(*6DPV_gTH>(Eoo{gVgTlbWv1
zp+p#*D)D?5rUxpejeZk96yO3uM9j;C2+?nZ`(1Gcpft2W=@z93ZWhl4zWySBeRA&F
zml#8!FK6L?$f5+q((q+&eF8{CI~Y^%U~v87oeM=iN|1Txa`tE^9-=&YTt;63JovJz
z^EXxrWS9klKXxfWwYAyI8&e~w5PI|R=tU)<s#>r45vKs3g=UA1zZk(3?qz(tj1ru%
zzc?5}EeCpaeFmIrBsfv>_l{eRBCHWzMSi<VgWbEPH`5U$@O8;M!7-@-#J&E>`sWgm
zc$F#Qz-to3S&VRY?Z5XX83%4_qM+%tIeWC41k^dVo*$T!gWS5=7^z+XD8FI<<Vgt$
z*80yqJN8}{3Z9%AKgYuhe5Wl&2a-vU&lb#A?j-|!;WxO9YB_-4CQ&W*7zu88ic+{z
zNke$SulF^5Ofct>zZ}a$0`^?GVEh9~U>B#?rZS*`s<)NS=WC3hq=xQKh`a<a*JcIc
ztoJZijyr3WUPi!heJJZOSq%KuZ!moqT*HQHy_<vg01`dwYNV@0z<NA)sV;O56NpD3
z{Qw{=K%MIR0U=<O`lhRh8^L-LbfdbJ0L+G~i32J8FlHBZAK&u>6FM&VQ}-4InRdM$
z7TSDJIX87iz^wv1R_WbfUTg@|=Xx$o(D1;5nvXZvp>%RriBfpvkO7!D;HyvXal)3l
zPg{292eMOkS^g%c0T4urgq)>0AcVkEuMUXpd2~L)+fpBbq`yo?&a=YKu9E<pBbl5$
zcxXi|P7h)^H*2~lnLzNjZ}pBzIa!e_sr6`!E@VV_XXDivKv{i}rtr%%vibS%?Q}f4
zz$khq#-N23e&|VUm<>L{%IwE(2z%*3XYX*3UJ*4+)HU&X)qlb|4$CP8m1)B>*%%(t
zPAX8-yc%!H_ZfSvf8}>St2Xe(Y(8n#riA?04@~Yx{lJFo+I5xuwSa2FQYErz53A}H
z;C@-tgB@^g_E!6*3E`=-(wM^zMmxOo>6hXV<~71M*{H4wUF<d=-yhq?kf3+r=e`lF
zA@4<Q^%D&Mjf}z*m77=(yV)U7nZWQrlPuO)HQ>Stf#`7m4J@bVt9g0C6n0`-+0W{R
zIvjA1CNiB|$Hd+lekk0X#r8gRoXOu*gP)_y!QY;)VJ~tXpDe%@FoxX{r<sdtkl-`+
z&0cs7YdKQdB+ayh*##st;8s*2FO5XA(7uWlt`Ake8e7JCx3ixOhNwdDn-ABDKdxej
zMVRhBYFouf{s*+q?hs+Fa?04Pa}`VY<NWM%+d3x8ohX<aLxhj7E6oE%*03tyDogjN
zO$<k!?s0{O2-p<GTZXhXOua^Oc~<Nnwz`+oIRBggM)IAcKRWAJMp(R^-IZNzlsAT9
zSC0T+i~R4NV%WecP7(i1Mo@srmRF_AOBGPFulgQLy@`dft*Y&GQv%Z^Z93)=JR}r1
zO(ZC8VQDVHo#Tgapb_CfftSF;_{J^is%zWW?Hs{--+xlW!xOYzv!|7T=e3?kJk<^s
z(lP&^Yz!?(y|&c9{!s~vm^X$w%675!07{NH7ka2$Z7<g4P=Yeu<5EG^6p(#E#P6pA
zBj^<r&|L{sgrLGf0j}eeka7**svgb^T-WM$t9~iKko%b4$5<-3%yKfCu8S2~VqPy~
zSt&rvT~ocw9XKFFnF;L_v%}6B6>sMkc{uxdNh=SdfpLwD`K#QVaJtN(=#ZT}@Nx%S
z``Jbd)E{3G(jRcaeI_d<_CIpaRR1z-GMXOp-gX_@(dU6sO|$ElZ_B}#%@%{XQ;cx-
z;EO&#IzGsVrhUkvF9(`we6D&S%%D0e;P+zl0NkfL&i`Ro7Ti?d3_6#xLeTS5;b(XS
zA!bkDU{0qjSU>5X4NqYQpMlC!V|QUVr&Rs#6q1F*F;{P2p5_3>EZNoYUQsCE^K%zy
zkcH-_o;9&<To5Q|EwOGS4juk)V$3FF;qT2vuf!#85IRD;cdS?fZgI+ynC0X^fpzqk
z-3wm0Q%WM!XiGuc)nFUp1UYc_=6~gW{QyJ=7Y;f1NJG^zzb`Ff^1ztW;4vE^0Arhc
z$NLgwA=JF!3f-tYxEH_AD98~4h3cLD->&kISu-$puwMas5C1oiJ|zOTbv{I!YAZsl
zgR`R_mlELVG}?y>#Net|mMWj9GSs!Z2FE8T18wdh!pfpJ1f7WqQKMIZD5jwMsg5eZ
z$-1B_eMl0zm2(**FA~6<|6Rk_2LeRdn+>P$bG9ti7SH2C1lgR%r*Vr!*c<1)Z^t78
zp2UblUzJp$cT&cP+ffbrcu$<-xG4+N_YG<ejjDpsN-RHVN*%sY(uFI{$-$$W2EK$K
zHCStTY@C;;39ACKtLc^s5ciLfkoR2;hMkuLgkrQI@#w=wid02-5oEu^wxR~@T9;E!
zMd<=s;(1R`R)T2n7e6HS=fgA0d-hWFq40*JXMMFYeA=_Oq4rdR2J5zQvwTC)6t6XQ
zj>E&myl3l`XQ~j{fAC(G0{~m;p^8Rs6}ZUK+&+;;gjj<g#-?UQ@G_>ZlDzLhh863L
zpGX8aP<<dSPm~1rdT;@uM^qrcdeEz5-%sSbf~=alNf0W{>1e%%hr2P?`lx5*;pkZ#
z_xmS}K_{EVp5Gb|5ib-b;`L>qs)doq_p33SpUzIybXA6c0-SEnH3=~5LcZ?QCP3}=
zZ%9sB3Dh$M&`_~3Bui(X(cv-yLoI&tQmFzE3K~@xzVbqD_J4{a+r}_3;{Dl>f8V!y
zlur&{V+V`WPQ#8mV@Q?#_V%)?EJ*pdh2;LEft>f}(rg2b!Fyc5bv0HRnofLvcI4^?
zHWD-A*}!NFuI8d~@LCdFf{lcue*MPMf>t?X(?}3M<;IuwLmVb{#J?Sj{y`Qk`RnxN
z010%D+m*bd-1oYLY*wF<Ir8VD`1!mvBM^+4jaj@Q1X@DFck(;d$Q5foj;>rr(5#f!
z<b~%4;~do~($jzBx`&)rdPxBFk<UZLSa`wut8XNSD+RJ>bxE4z05Gu<U}%!$0!;@R
zzMQv|$O_4(Z75+t;VV@B_#!*3&~ePyhfyIzJ*Ti`LqoVn+ZoG5!3>oZ5@sKNQlSm`
zsTgAy1F-&U{<JiX4t@q+pc@#YLSvbU|E44KA!Yausr)()rrz5qPJE<7cCSxY<rL}x
z)$aqFeRX@7iVW_R`57vtJe6={bwn3NTvf_VOgFKOox1H$G*qZsmE?OuTo<wj&2;9&
zma)bQ6&F6FQ=)sO#&iy+bl`lP0*U(BEGC}$?IpD`B{DMaT{u#r4Y?r%8-<`zY{A63
zNB#>1I`FuIzmrZI<PNiXD#v$YLXZ1QhJz{4b9Ni^3m#gK&4D$qjgv8@GcPtSs8gWW
zbLxMZktTf5du!UIT0*W`I?6=HK!G|(B1&#bYXTuCRIsP2oqX$>IBnO=9yytbt=A<%
z1B7Fn;}fj<$Uk*xC6YJy$Wz;LH5|L@u;$tDx;uD;OmV=4aX^Fui8R9R;6Qa)=!tNb
z9GM^+W+krk9;ZON3Z;q1r_?}6e^Fv-Z<?Iq5xHaVfdb8F2n*-?sKKXojlALEd2$k`
z_d!M?B{C=M?r2Ty^VIKAU+m#UGC8;Ylx{O6>eQ}2^6!i)bQ<0M{#;<0Y#02hGB<(>
zDJnZ%pI9csql5P~vPM?OeN-Q94?5tGDD`jMzmY^BkOW%vU#*d|bIz-nTT!EWsn=mV
z`+a93_q%l^Y=hjYLO9OnOM`YClK;5n6X1`;Qp}*^7J1b%5AT#ui&z;lPxJr*XqR5e
z{WSYW&R@*MZ8Os&=S!Hoa+L~fiOAkgw%H{Qdis)eGZ|24JDpwtr3wr!6i#>RQ6NqF
zC|r&`6T)5J(Qe$|XCsHwbM79L$j;J7ie8@u@eC9fXXGh^O*uwio=JsbsZSJS+Owf;
zfpHdpT4mss(>?uR4u|MegrjHL*-?J;5&5A&CHQ@b66fGTgF<bJIcm5#(Y-UDy*~a?
z1TEhj?bI<^v|1Ts+jWr(Z7xb=%=jsS*FVaGj}quncd=*p;Wcg~8s@a~;GY7tDN{wi
zabrZ@hmJ6NKIBDTI0KgWvlKx8reCd+12fW+_GNSNI)JFsZ}hVsR)8#QW-uv)6&*Nx
zl_l6t0L9ImoIb&-0KBoWGCE%D=tS6CmR^4$M6W6M_VD;VcMgllYUOeuE~-xtgWrmv
zYn89;LOSH({pb2s4hk-G`S@M)fFv=Ldno7Abe}xjC^32(f0-N29aQ3G9TrEwRg(l%
zs1$&*kJjP{8!uW4wc9K+lSKCOoY99Y6d>dkj<%zL56QF)+}x{|LVwTBtf3DI;FXT6
zG<(F4?oMyMu6L9{;(~ay=eCL<d{wyqLYg2NvLrMv@5mxi+VZVy!uveXTk(y0D~y!V
zEk`X%<k4|W*AlIL?q&HsOq`w*Ma6QK$($jI=;L=PyT8Zru=B{Uj7C}<)h48#>eN?8
zG>P$h)kFIn?AW7<_K-kS|FKPQQ>dU{t(AEST?E+Ry!j6bB+)&iGLO411T=kb1g|?x
zgj<u>hq?brp$8AMdVOVyDEnAiPcDxd*jvFsyR8f|Rx1mc8ziDfVBz)sf;vS1usAF5
zQWpJF>QOs?Sru*6HeR~5t^pjOveq6Oa!5EP<?WMcRYY5EbHzVf3)--#7gO2_=m}R*
zF0+yvntS_h?$iFA!J2)YRy-7u(+%3w6KZORnOnNzkBJ_PpTs|7I-`V~-<(w**-}N~
zRj&L6N(La3GPDz7ri}Uq<Z?8ws-pL7EpdlAFc{dq7yV;F8A*jc3WzKtB03MX?vg+N
zJXf_c`8XbVUF#YPDI}nY2eP<Gb0au$C%-K{29Kt9=-5eL@F=_9oP3I&1g;~OXZg?I
zk>^JWGtr-lh*rKMWh|crF(~AI2M&*V1c@6oS#qdF#&Aep(ipbv-0HoLDx>GgnjZ~x
zq)~t(Sf*Su2FK0|$tO=LA+P^ZS{mBK(I2LUGwr#?FwZsQ%%-P^&JMZv75)=Kr4Gs)
zC56UN)nV72IUtXgdOs`-Rq-NQ51sY?WMh!7yL~s+Ne-QCYgbQY<UlGNHzxRx83R9+
z`6PR}4DuC<F4^0lL#Dl?$X_hRVE$a;-WE<8ZOk1P&WPM4FR9KcJlXGGXYvAVl({4_
zwcHMTR{EEG(E3YvJdohJ7HE?b#gWiRc5Ve*8#xjmpeFs*2uL?c`~|h5=tVbgj73y8
zW@&l7SK>b-h*x|bJ99$_3AP%c<I_`EYfo0?g)RV^<B>JRe*DPz@JUwNlS|m%1xqfH
z3xG?qJKw9DyePTedb-VM4HFs+G9=VuU?$L7Cfvq_+82>gPx}UzF%w=q)ny1@Pwcqq
z*l?gCpKJ!fqg$Bjkh$Q{f&nbFpCzubvZCS;-tJ)LZLBfs1AQKs0h|o^)W`CN0U7DG
z8sC%I#wyQWHupBv2U_Ctrxn@#yZPbtBtzR4c0b{I#qN1Mc+@1===+%pWj?RFBQ3v$
zwVhgFR(z!k_dl%JnaA&ucW!feM*O#lB?LYF9y_Z8mHM3ZG59TVi_?t2yxRu0#<)x>
zQr7`}pU8{SeyikOPd$p0Uh7!fc`ZZYO>OvGJuRJ~wn#>T%~0jPhIRC-zb*W!1z+>N
zxhXDBlUMa?2>wy4ST+Z3OdU}R7Kk|~v)snWiUmE>#L^WkUqf<SJV_HOe+(z2hzyW_
zj|x-gQm$YE1>5%Fs~V61x=-YKe~@`JPPx21w~U!jby}pjX+TLvgoa&29l1$u>C^D;
z5++zp?WEkI4v7M3#3Y}G<Ukwq(0}ijF#FFg`n-nfaEs&n0IPc$mQI;KN0G3Ey+dy6
z5+!P&rS`rz&afHFq`vp%R^k$7aWQsQ39kl?UpNjXv;DvhT8D0reOSUCqz6lJ7OKKA
zyhfK;^iS+h2v@Kd{W5m*FZQNHSrw|+60pmU`Z1#v#$AhR%UGJ@9l5P{M3~Yy+Z!nR
zjoH2+h0%$uU_lO>u3z<t(EiCx{tE3VmgSLQpgX>TP1+36aW@k{(tz>iTeESjhAlkd
zOV=tkCQ4md>qr2x8+X0>Z%$&yWmIO%3v1XV97A4GmkPZ4!65OWZVGFg6gIZj-oQAS
zFq{UJ3OI{iGQY((iy2DudJewc#01&rncOt+Q1sXQs8ql_=FPGle!zYkJL-StD`kK(
zTz-2cLNs^*b5~L5ol)Mw3RHJ8h2AK^_{CLfeElMJ{i(Ip7sEY_A;v)9{i-5JJubNt
zDYuMWJUOoC)Ib4}uCvY^Bt-~JWy4S8tzgyFSvWo>D#+ld@=i-rfYrkiiicngd)rnn
zpcRCJr`rr{5{vRst5U&Gw!MzUVGb(U6f_XnYfgM+D-T`Ox~3QUH?i|in~f98Xrc9k
zp3~(|`(3%vVYoZ7jrCP=k)NdR_iv;k<+!38gqpTDNsH}bZgmk14F!y#s_uQoCs!5(
zy^_VFOep|cARcvGWQO+i#yfYUW#O2CM_gJ4CG0I<<Yo_KgPaoAWu{^oI65Aaq|c0l
z){zytC_WAlEHK%rH<5u$K1WjWa;V`CTicxz>6~D2h*hs~Od7(Dl<w&rr-gu@CRMuz
z+^}=_@B`;0X^?Q5Q+Yw62Zx<7r*llapnX($jODO2L>|jH-M-)FiBg%nKX3=2zTpS1
zj#nCD7x{I%AMX3G{fjnd1p%1-992=iECoc-W?<)KgG(<Qv&Hs3ow~3=Fk@T_oO}qG
zd*kfzx|QhzH>)U+-XCze|5pm!ZPWE0yK{ob6^jzjKVm?r)41ftBMtIlr}+sxT!5Q)
zeZ_TB0_NM8r+r<eq5rSpvH2<<_~*+V_>@8l_?~!_mo`d6JdMfDcrG8boNrm4Dc_&d
z@q8|DTn09o@atXg`C+!vF@Nl~EZC{Ah%4>?=i*W^7j9M%zHfDpn_rTLwP$KGx-xR$
z7jgaeo|On(CtJNY3ElSq=Rh@GUwL@7NE!CdUktvny1dxCtqe_NES0yH6+pm1W(I2%
z2T}Qhlp47zz;S5dP)@rNG~yrEtq~<b*0#cYsGk6iuQ)%2)2YBQ!ga*=S_<sNi)J$i
ziJ*0MB<o@u0Su3p`aDvT0klI&<?~Gy`0`f9E38!E)aP%f=#VT}m$)ou=cs|<jZ``D
zJvETqy8x<|`yD9R5@m5%9ZVw_xxNf*KwZZG-n2yl!qT17!fVuFg8Bkw*@6~ybP0}q
z(N+RNTzr_ziaLldy{(g%)CIY;HvYL=`<+?x{u$P*4gyZx+OGck@Mm>lWA7OrsLglP
zjZdk=)%n7Kq)&!$-;U~rew+%3^uBHVl%WPsu6VEnMgZ8VI;FdC6X1OGdO$*;DkR>z
z&u@NrpGVJL4yo!Bz@&;Tb!C+REEl?bVy}@v<GnBABW(iYzpJLK^2I|2&#(8Hmc}ss
zjy7b0jsV>B{g$&4`+F$HGpIFf3=Inm86*c4;2j#dbIC;p*v~|>NIRN9cU7j|O;bE{
z`B3^<%S%B2oVoaeBokmOXI8s6s{}dK(Nfz=LSTEF^beP10!CEYIIvR$hHbhJr{cN6
zkIHpA_KFD%&j`)g$I3(Jx8q(Lhne8z1fMR0mI<U)B(@xSC<`2u)Ps(JyI7BN{|lXN
zV~DM;l(Kms4YwRJr0|2InEbT&P=mWMOjZ=JM#oEn`pwilmYzPc*zeevg##q$c|7*V
zHA)<={3|;~cWH&Z=QI4G-<AaDmYz_i@`?hT{XO#T%q}^FVOom0!3d;U$*m!lg7Eu&
z(6f7PIApRnNLj6A1Qj!5$8<{gfI;-a;WR~B^z=u{Wv|x&_BOF@;!fOf-hwT*l!G1#
zpU9lKBMVT$BcSS{#{ulrA-aY}4Cqn#-ftCa4CLm|Q0`VU1NZ7M)7TgT;ussS`R-&0
zHVg$sQY;-1!k*l*5NAXTwU_GI0u12I52PFYjS3Pi96h9Y7?I0a<*x~e`aq-l>J2B~
z4%QNX$*!oE0nM#jTq~>81IrHTspWI4*y9K(2Gg4is6>j-_Un=^JQkt*CoMCF*?-mB
zm5^XS@A<lGSXFi52WiA8diXb%)%ja@r<NW)ANZNu9I6BAiL5Cj`AyihwIjsW0rcob
zozMxJ&)PsZ-PbfoB$Gv}Bh5dm(4(=l%aiP4`~4f&dNtrwFWL2SLTfucJt~OZ<h~uQ
z1%!*IEwAN_kty^?KdSH1p-(5&4Qz%rLGkmkuKe~HGFQ;h2pcaw`c!mejnPsQl9poH
zcnFK+N%tyKbc7zI*JTF;RcL_W^ob{DHCM<|^K6&6is;ePNK<61q5*TMiy80e*U247
z`R^rF1{8bs^RdX6>X5u}t6TH^CRvZhic)%z0qquX{rD}X4xR<dolZvo$X(}_+H~JB
zBKLrSPVd+I{j1>mIlXF^JZ-g^-1mkFm7IU_ie5_%HaYWodeSM-UFJ0+*29dNop381
z4XWV0c1FmdgAzSv;$f^+VnufzdDQkgt3semq(uZL4mquL-~3y|h6)BG_;vRC_xLzR
z`Vkju#PP~3#H5%V4IdLO6HX>VUK{y*QV|X6jw|)6&*4B*G?nT#nnaK>3gj8(q(gEc
zq46BAIZ?&M&|Ch)1ejrc)m3+!9?4l1K6dZmLW<3K??aObFruzB`jDRyJt>w<-r?av
zR7~ouM=c0&xi>z%s+I}8VK2`(7{ZIDY}pcSF%W?Nw5xnj9199l40!o?l@ICF+{cV^
zRA5y2OWOK*Hbi;)>vz9Yesur#6TMncf!G!_s$b2Hx+Ga!ca91oPOWKqtz|rX-<@5#
z^OFM=Q#JgJ&=W>lS}k%36?iz?z>_mW!-dQ-rTAWBQIu}xFp0~+gTB7}>#r8vXyePn
zLCX(fXo7AmQ8Wn;oI@N<*YbJLo93rz;I}xs)XC;ulZS_<lm~07!hGm3^D|~MK}keU
zG+h_{wcqJ<9tuAT51>Ml*37$;Qb<nTx2uV$0#1@$Htdc9=vx2KR&k9qDmscUO)1{L
zn>B~R1cZc8OMl)KRs~svH_*NJpE3cCvOmu+*cL`B(XUfp?f1)8lHDJ{hx`A$@sRjs
zMHDGG{JLSyqk#PGU1e<*BSKcs<FsxnaTK{V*?Q@oB6{jgoIO`Z1Od}W7i)PWP(Ty4
zl|H31GQAy4Y`v)p9l6HVazshgNlf^t=z~Y0J?<w>z0`m?d#1zDcE2m}DQSm`RZ#Xj
z%je0S>Y$Ial^Y0_Mky0{i<y4=U3N{f@cMNPPzwKE8T3E~Rp;;wy_q1O#Fr<8N~$$s
z^2)7T+&ft`9maR5fkZ@yPqBYH%BKzg0{{U3{|uLRJk?(q$GMlRY?8gMecfSZejk@Y
zWo9LWgoKKs(lSaRMUg0!A|s_FDZVG-CyEFqE3z`m-tzPB`RBYo=XIXv^L}gD`Bpx~
zm623}W6sVqbkvb$*7y609#Ark`^Mg=AVLcEWLpd!C6)C3m1Z*lrl&aV{asZQmS<tE
z>On_)?=MUa+%SYS!{$sr7d6Dx=1UT0p(D}YfZcH-#?U3cykl-s4e6Y?J(O{hhL#K(
zY%FhK@Y(mDk%l7~)lsJt485u7eMk7G-w^<=x7Kr>UnL{9s}`iB2zBJ(aL!Oz(gdcC
zqhCK`$Y}N#7iEs2hE8ro+%S4#0^jCtv<O*{QEttzf3F&pQU4vqUtyvQKuLU@&s)`y
z>)}#cCuK#%)O_}ZTrdNiEoG<FmDG^KV^+}*A@WGq?yQ3NV+NEzmAkWIsfxDvG^R%(
z8Fc)k^S75(4EPwU^`E?n3QAp!E1caUfpQ+cF-(5P0Pig>(-VTqC{f5D!O33)dFmAN
z_&s2N+e$Urp+OOy?mO1r@mByH^Gb<IJ<fpR62y0@feOg?*-}^XFgJ3HqjdGCGhj_(
zG3-5ogk<P$&Snc+(Ea$La6*p>2-B5bJKmN<!6f^ia{SC__&u*ta-<2g^yW#iDa)ci
z+|gkyZcF&uSB-1sQYKKRneDF-D~<lJzB*7EHic*0da$7Q8o=C9wsZeC3G~oeaj)F9
zL7ZM6S-@ijV4QwyiN!(;QSzt0s9AR4!zThR?D>Gfp7BBJ#9k3Zx)A-n)#W`-dk~!G
z|JNAg*KFQoWD29_34*Z;vQd~T+scpKlAGu4hqvvG6GYx2C7JW(<=B$K#dNxj5twne
zPM&(mk0^yZ3HOWNW8ER=?~hzIglfUSrwyNZkptaOp=MV#R@mco;pck;=%sW2RC~G=
z9k5U7F|w_~ZcNVy*bxnYl4!-#)W?DTb+!_UTwY+Gb2{tHcIyLyhmS4Uiw)V1&03E8
zUBbSX45;O&>Oozz!u$W!S<!Cn8$&Im1Sf_Lo^l)A0dMXrj|X8y^n3*0hG*B{6ThF|
z(ZqJZ>Bc(6!%57@=E|EJhxa$*@fZE3Hqv#0wX<_~niLZ{p?~<ZbxS+`U&he;<W(J*
zc-3a1^I;ul-}ohPU8x(NB6L~do;nc4N!uS)yo$?}?Y-=2+m9#5`V-w6v?0^ZUHQQ5
zGJZk4>A}(TL7d#7&SSbm8(IbW8{ft);b}~;acgP>Pj0##WnZ8Ldu6!GJ%bkUFiQco
z%6;Rw;QbQ2Kp8C<<IS)7e0u@E*GD6y*ZskT+wRDRrE5YlX@b>ebsjIfs%>ASIE`2R
zVpiS1T@(Imh;doSn8$A~9NqSOVFq{Vuv%eG*MP@VrJ0nFdHiU}<>kbVIlObe?v$sr
z1_+K#ym}KckB7a^k(~Otfd5jduJwCD2mR+y6S7L@@e`$En!RmHxP*FbFpoAJa;|KN
zq>3-#^?6xg`05I7*d%z~x|Rk$*MhdrJzc;TTK~MWGhN3O>nc7e?5BY@&--zKz(u@o
zYIZ*V`38P*u)devPX*~uC*SOHT*58dU9~ev%;-XU=3#3QDm+!?2=6?yjE4l7r+Zx^
zpqw({JM|6}c>J10D!X6>FZ-}eK^!dT8Jm_Jx~mRBcil}Ex3A%4=W3H#@>!8uM*O({
zFd2-cO)5~?I-W1IG4?8e4V~k1$lGE-hW#E_th}#m;KeyyjcN8A=x$_Z#`GOEa79ON
zd)G3d0>_J$FMPPrO)n<RyX&e@-)>7R{KbqIj>#K)A9JHd6tnkgpel?9hWsGN5K-_7
zedg>|K9pc#FB>qV0`A?PS{|KaK{3ofM8KOL2}3l2?}!S#+djj@v&M>Wu7T={9Ret`
z{ypF6C1og!>^i)j&4#r1y!ZWiR0#c8S7dL$tqijQt>;35IZ#EG+EpoqZHQ1JuXhJi
zhR=;dhYI|-(7}L`3k25f=(IscRoIFWL<H*hirwT!_7S1(c06LJ$53qU!hcFo+$-W1
zFwToE!RH&VO(oF!4=-Nvd?hF&$1j%{^CN}fF`vRbDMYwg`dI#<5?rq=Uzm9$fZk~c
zyq3$9L4h72cPCyc0nhcqM?R`TNKD9F<_fbM5`NS2(0)`261rD~e|`~0c<$a)E*Inx
zcXWc{e@4o%I2|1!lrDnw<XVf}gcQ&%oss~Tx61HwYv{`(v7*S3*F`11S`l6Kym{!Q
zuL|fsJ#p^GU2!y)M2Ky<qKv+Z^jnJWQiZy2H&;HiNFvhf11bNxtD-w=9Lsi|Y7i0<
zX5u0ugG{ZHI$RlKBpi0MBj6nws%mlB7-w0uE4jAfq&fweN3G6Z@}j_wY+igQPY$u%
zoR4ea-0UNd)1D+X8pPdHm=xPWLM&{Ii++nVlrTRbW?)MPr^v8VFM<`&HBbLOj&?d~
zTPqu0exLyzSX?=Ck0M&8i^dM8YoI^byZIM3=k#suKp1h4GRll?8(KBiM2&IY(AlUB
zEEU%UElO0-wRbi;m&!CzvY5rL)=XV^mN%@(%%+CS^v_?vwxEefpP5%gZs|cKOL4Hq
zW}c9{z_&D~i8uq#_-14pz{CCPihM5WNV5NpQ%b%jN{ihy$XRLxliGbf*NrGhoOt%3
zC9ft@_z-i-tOf&~zpd}Lk5bUYX{V#w3L5C>^Mk+SdjM|4lo$nDQxU7l#^;c~H1sTP
zImM>N1P0F&%1#}jB6D1JH2x0-?F((sijQZ2P=sIZx)v3&XZ!nVrl=v3chf(dVhUNl
zaty=go9{bM<GeGkgi6-&b^a%&5cAqOVYNpct=TuV{MII+Eh*CX9Oq5pp}UTk-v=^s
zS@k?aI46T_Y{z}2Ma*EU=_jkpfoe!DLdq!bt0*$A@aPWbGXt0WP=}y?6;#1g91*WA
zi0=He$=Ee)3InxIiVsnhQGgAhT<{tv8ku+<la^@;mE_ihId4V89!R;rox+6bmi6ur
zVWv=V0kx8^l2BOHO_5uVCUGs6%G;q|7!cIB>l0If9AYZJyN@kA4L47S;}~*efM8~t
z@<@velI`RbmU9}$6x}~{FSVJ#xP*4p9$qO#{2=;lNoEeyoGVTVwKIV<CnL6-55>?n
zb^gqE-&QbxmE0AjCV-k}mO1{uBIscGR}J=p4J<u9M@(?Df4il>D;0VQp{3(N-?GD*
z!6faQ8Zirl!mF1KXWiyU=hu6qdLsz%qQ1o{sK^-VzB{e;Zs9@J;XP_@tV9sM=;tj{
zV+85*JOXO_InYdKx@W5f5$5c>zV7~I2vD6FeMy29rPA7?6{Uz^5nlbEYO5jW)L;Wn
zdzex9(<>hDy9ux`WEs2-Gk}4!!UqZ~SMiWk3Kz#E0w`SGL;rF{A6QOX{L9Ro$5*O7
zua627fYR+9b?}`YkY2<QEmfxQ(^nJsJLfaQnFEbS^tR}MW@6nRgY;p1_t5(1?+j*m
zae#Kb%V`I!F>y1G4tL=j|8!&ijxs@$(m|Kzr@BB^4^nx&T#pZaOaB#>%>;YJ95RbI
zb%Cjb$<yV?ZLIXI@PJMb6TI|3c4K>x4h(*>qX+0UV(w1S6=ilzFe%e}tF}!WOy(_j
z>%RSt(K_yZp0#0udV58I5EE_qP1-iJc%&Z_lyl~GJ;DT|XLo3fywHM2%b|QBoWoc<
z(?O@zOeP?><rFR|Yk{4)Bdean7*?b8gX85i6FB!=FTaqZ34a_eI@Y@W!E%17Nt${y
zg9u&9;Gmo)Xyh5OY=}%_M~8h%k4`hgxx&NZ(T_DC*P?NmHZy~*bUf4hmqmcQ^~-%f
z$QtnZ)9<#sHFH>DFSU9im<WXXch0+)(_z5mDYoy{0;WBxd)(<D3((|Mec3JOuy^uz
z6|4UeCUPL}P*MmhWc5VW^>xv}F_69DpZN-QE;p!9qhJeUcikiW4W)r*!&LQ7y*2D*
zf@Pu*J3CZj*8Y}!G#Gt*cIdguKdi}D&F4TO2h3X@HQeS+h33_~-w~Qj@FLtx;ta+G
z+EMk7ON%JbHT3P5w=*+zmHiB&N^!%=ZDF4lCJGSUNE<#k2(YKn?fOl1UT|$)up0AF
z2U`9!i$lFc5bllUy;#l%E1$QHW&B5m-yEgY*5<6xL*!W$Sl|cCS*l0wX8#5s)$dgQ
zyakjC0)L*j6NEzSCT;eu8t6ooC(4AfLzt0K$+u5JVEm<LBEwP*iug_nA2Q?wIzHHG
z9k2}qE@Zr&9#RF4jrYf`$y<T()IC#@yd8FIOP{`+tO~Oe|I(ax@xapTDb)xeF=$PX
zxS?sM3be+q3W7Nw94Omq8mk}yXH73AtB_RT>PwB^r=$6yM%_(?>Lmq7o*ZkR=T?Pi
zS^U1s4*~GH-nkLuBLibdkLM=8Dr}wHS>a_R1fzpCM}(irLe$?Vbsr5?$o$>7s^2RN
zCyc|zLiyyuZIzqlz)4k*@6-G4kthN}o|$E4S4pr{HS1<ymnsxIYClUjC<;!gq{>Ue
zieOWYm-Ys!!Ky6Nw|QG}`1|&0#Evp0=(+sIyoySO^zz&v5k8V2$va)_>Zbxn1yZuj
zmDFKTnaCk_R~kYue=t8rQiFZ7iuIRVDPYz#_2}7x46xoScw{p|hUgvcKZ2X7@LIdZ
z+Kws*eFwSJ`|~KE(<Cs~v&nCAr<H!WpOlBSbg$+~bs9wGzw(i6paU*cw$NQo0$aOj
zRfkm?WZq!wlwZ(*4~aGY&D#_q^=`oEt5Q0I_FdG9+N}jqb<RYgqe^gerTcTPod$$x
zSbj08(}qJ$f&Tm7D1)H<zH=NOHDF?L>rM|}UC?{}@eOH31+I>Y&R^%(gvDcZf37I#
z!F61wWNtH$3X{_QL!0wv*D_{YvZ@b%$6_AE(#Y`S{B}LzISoj?Bzs$?*AOP<(+bQ5
z)q&J(GIudj14funkn(V2$c)K~`%$9~=Ht(HRMgX9_(E*fV~fo-xjm|{QI7%=f~x%W
zjWn1$KD_o=)&yc&WHcd|0&>e&tU6?=&{*@2uKUXbOqwq&-gTpZ&}&h(J~J}3nlB5y
zyuyH2XBYey2^4s4jVwFGRX~YAALd~*h1)}9;z@6H$oSn_ELEofi9Z_-*?F15D{Egz
z*^6Z0mZO`Q_{c%Jyzsz>+onLl7pSifszDu|B_*dS1xxXsg}o0=;Z#b>0Ndt&jOV#P
z)fyH7?Ul@i!9-Ko&oziyCn>|0jJu0N3Ic#nyx8OKZVIl3TRD#{D#EVVDT!4MPDoC9
z5%x^b6ud;t(s%AwfZULazQ!bG(8+lluJW1z7vc@?bKjPSQKH$k6q8x3mL<YxeJ=w-
z2^GDwJ+ctCuUlX&qYKNsUBz43X#(v}3uC`fWgy{|s=&FX|8Rp>oevGXOhD7-&nq4o
zN$3uF{!z+&2><YrWE?dNQ2s1)lABEonyZ8ubDmT9p2w_=A4dV!=^|Gu#YN!w7l$zE
z3v)Q7CiV2kAq<}IRu9#A3jzJDRe_k<A|5&3|M1wdF@#9T94_nShmj|*oLA?U@EEiC
zzGXpUh`m=>{al6@zB&{Qx;8K4{i%*(qB=$Zwi9Yfe>kDcVV77vaRvX~a3+e&(-1~F
z&dQ&bV}k>JsrUM;mhs4YXTqzK44}Bd|7v+T5zZvonskzu@gFq)^BWENU`cE{G+e+0
zZemV2ZQl}p;NWxjBV77$kGJSv*5E3pwz}{v(Q6Se*3BA7x7P!ALVkQB?;=*3oV+j9
zdjZdyw@V~v?|^+V?20S(GuUu&9`TjWJT8%#npH8Y3vWB?<Ngu<U_DYrioGFoc=mDO
z;L*LhaPMj12*Y&*s|vj7uaPo~uLj>(^eWVW?Qh~_@1E_);w*B)lUio*6Zm)N=FtId
zg?jnMwC|XLg%d%9JcCR3D=-U(YlGaKXYW=AnlKTKs+gF(Y255;{#eT|Eugs9=}+ye
z#Ezcm@4UNn8qW<dtnYKs0;ZrDH|&fX_Lv@*>%lgSOTW&)#owR_`zu9<-v_<H6Q^5>
zJSL}b9lOc9n5ia6Ji`gyhwE{!1LszLEKcFVJfr2ikOt^J)Y+vT+k!_h`@Nms^wSX4
zCvVwIGyr>1>y;JKft#ns?5R4tdGDi;4&Pcj2>sCX#<;ui+YNm4A+yu?*R@EKJyvw!
z=lm|&71)Q1mYJjnCC%XTHQrO1-)W%g$|_Xc+K(&Gu^qH<oW*l3Zyd7rqrv@a>2<M#
zzwk~UDHy@#a2G8GDQSiZU4ACzr{;!m?+s?JX#075=}q6)bqOjEIi{J8aE{`SrF<(&
z6BlqN6|;s0D+*8-&ee{pkKyW<<jc-3EaGH~`6ELy>M-PP^?~L)f$w05lFbs9@rihL
zR+DNn@FZA;TUY$S)s`<vEZVQ)PnC_Ye`6)XUAoZ8%(N*Sdn<8l$!Z<HSNt)&z(x)H
zrTvRHMyGLY?Ts<b$PN5x&8x1OELE^NZWG;OH;bQ-w>3>(VnW)9gf`s;75MF^|9525
z+xrk(Vz3<nEeLSY75AyY04^J_6tRHsE?KN#Zz3X}_7k!1%9P<t?zVEtolAK8k;(sV
zoM1&w{asIY$SQ;7I5i?qX9cfOAbBTXZ0M$dT-A885)}R9zCw3g!*g>!7!Db5Aa&*g
zFO0S-K|H>%zxeS#{61TD`#=B}Di=|%D7mf(WIS1;B9#dZ=5A<dv~VM9vmyU+5k=tf
zb8?YgW=6X2idbg#_)wSI`To*E1qhu^OHn#cMD3Vyj(!n8@^RRuyk&DA4YMeJR8V9^
z84>*g2N;6LL-R!~_Z$f#qj$Y{wYUWxJTpxQ*bqWrhRX)^3rUckIw|^co*jigWo*wH
z-i9>YdIT*`kiaz=YtScgA#+0E*<GvKQOlvAS}O|@)Cr4*=f-j)?eAQ_i$EN0w8f_W
zr$GXvsF(T-0X`&4;bjmjBoUevGkK;-f~Mx7!4DVtQEB1MGveAZXpAFr;F>iF7Mn9%
zs(1uZmN8MRH(wUT*Gi8>#FAj`vhkC+_d;k-0GT0gD38|MxB4CUMS^UT{4W3WZOCY(
ztyp`4gd%om5|N(*T#Y+6?Uu0}waZrDOnIY-@=^)5+~SImL=R<RuM<PA0s9<_A1b5M
zU&CTUS(M<cU25b>aY=LzDOa9*q>A(oKfm)+O&Pof@ZW72(x_Iy^@BnM8Qql?dEa?g
z1&02-%@UQDMe94aB>-4Jr@u#bQ_$&t5dke{H7KQdR<I|?p`h}Dp)Z$cC^^<BD?3mf
z^7`~i7dHLZI`4)DEs>6D-R8;615}{?t*+y|p@5QtLv`5_HIPygr&^T<9g^KG6Psm}
z5OvqfYI2w+;z_Z#S7O$Lzii~Z-LI5U$7ox}Cw(oXey&2a<eL^eccgIYnyDfeqp!iO
zO<HJWpKIn|uMQZMmOqTIQA1UEl!SbeHVXUNVf=(w4|?~g<UCPQM@eI!L_De5$eU^*
z`Od=tV$>to@Iw?7QOD~oHmHT_Co`|6zcYeL&CkS30aT>Xt2A6{poM(L-f%8(0%S?<
zHNGH1L)o%|BQ{!_9<5s<<*aG~4wWwT{q{6e#-Ft<sFjXfjc14~bOs!ZpFH!=n}#$y
zTYN2KX(*#(if6BoDTv$XS!wR1p)=l*$NYTAs7>zayTC?M_<L1LiFt;K)_1qLO=v5l
zueS*WNw#LdHy5dG$wWoMYtu$U!}2Kmc~xS-12YhFY*w9mr;c`~ylhwBD~%Lc4!iBZ
z&A@(im$<AZ8CBnSl1kDOL4W7TxsJtVa6H*5=;U!#R5#M=e>9&L?M#6vk5gvgXK2`n
zqLq=vO!OX|TLg4MzNJlF!VL5W!hIJb6cK@I&OGesB)+vH=HyU;DJT=|7bt!tMEhaQ
z6n?828*EtprlevDKGxkkr|sm>5B{iW&3`l4xkvY0QtmT=y~UuVd6x|0e4a!(hW=q}
zZd=YJaBupu)}h+t_aso=e!<GMFGR?9OMW18-ULoRe5bk8y&XNPmFMN<WCM}rj#TZx
z0Bq8iQf8cmQBI*&)ge<3a1ox>es&nZ<A+D;O925iSofewpo9}lr`B)U)L_8(`=q_U
zG!J5H`dE|_$p!vjua{c<XAHErdTFMa>}Z`w!kWK_3tk+XfS7MaaBj-mzCM$P44$mM
z*f+!lXZ=q|mCYJL+Q37imCirheZ`{JsEiBz>c)4NiW`DH(=gL9kp=wN-o|iWUoKGo
z!r_0!$^i64p4rD|PU83O1sSxmae<HR?K`g5^x?_p&$q6m{KVg7^j|M}!U_0mnw)i$
z9$32%Aj=mu_)n4_VQwEM6kz*^@#1=r%~^1Lk-H9~X0MM332?&2+jn?^j_-ikD9LAE
z-uGa_Yq7n@esh5N*+;#;pLF5JnwWvN?Fh#C$o2K7UJl5xsHtS8>Vn(sN&Q!Ie=vSJ
zi{RUN4w(KJ8Pt782h6K(7MU*2V7dQ|mkiK2!5~sLAb-nd?`sY)$x#+CoFSOFGno@)
ziJpAw5!!I>+AtHZ`Z8uX?Tnui=K@|SgCT?Y&3>Pp`o+(@hF#<~Uqhd{;DKEP>CH(k
zQ0O?opq2f@c#_ZC>?_y`*5iWtDa)F$d|dYQ`$8t@4KH=Gf58o(?%3!yM{jzupmJI6
zA~U?x{o*h)%mdj+ZB>s8ZgM*1j%mCp5xSC(;ngHQ*wro>edCD+7)^b>^Ya!9gq}Sa
zRWr#4&IM#AJ5vo<DV<=nPOw74EI)4B%nxM=^0!BR(V;je60@^s1E+&cl`ahe@F#6f
z^;R4m=B&evrRv$CbFNl!pidAUvs9jYtV@R=Gn+@PcAVgQ{pBb-zc3`b)~iH~Z*s!L
z{Hc){E-+$KW?Avr1{Yt@RUhQiz^+N#w6d5RynMDhjyH%vYX5n9(h(Z0=~(BbU*!d*
zpLMbPPNFc-RARrPMcd@kiN5de`CvDtO){BT9DY+6?b#eONIH70=z0r3<ZDT|ooJGP
z4_{@?zI>rV;jOXU(K!LAI4o%vQ7HumI*vOFA5p=I?I4G}x)88mJ9glfpA6g@buLp(
zq5`MzTB7hdVYny#{dak!EbP>G?faERg|}4ON6rJ=;ES}sb61fZs8@~Ie66B_wxqKd
zo7Z-TwBTzq7?p?pJqmrIL>i1`1@|>9iGtbwjhG~j&3>J@AiGPC28XxtSdHh4gVkvd
z*^z6CaCk6+^Gh@hEQP+k);TE&GJ7SsPmL?VnZ?Q4qCpz0D4MACJ4wSeDZYR+o1Eb#
zLzrrFr-N@@RulD!44h91DB!D9g$DR}QGJ>Y5rJcs(wja^^R(SW3Nq-ND~j^Z)`0e(
zJ@OZ-<Y4rqhw}1Sb$FU(*w`JY302Xh8)IMPVHokTbyiVeU2r+V!C4FJXGt1P6C}_{
z_PiDPiwfrSjGJE%YQxU4LB<SG5lYXvohb{Zfz)8K+y2WsaCVpCL+Umq82Y(=m-81I
zNai@1KCIP+s$~z=50c8jz5Gw%0v{c;n0uq9CG_Bw_nrsULMou_up`w&g%01%$_ytj
z>%)37!L)Wx1uk9}IKC)M2M@TUm$qyGEA5G&$gfpFbH~rhv{o84Bx@U=JZ1!Z>$wXd
zj%u(*6xieIPJ>HjLmq8C#_-wwD|f<2HR!FIOTQ9Cg*)Z45;REw@|O9pHaujIqvYq1
zHhuJaxFeHiC4g|RcVDkG8E(h9a~-c!1D+7ou4lVVV2@Rx?9!?lTz>4(^6ZKV*l0gq
z6M1g}+~maX8V}V#isCABZ!`Bh=V7i#k_^}_B1RPwQiJU*R%#P*Bsle9x5yI@2BhA3
zRleq+3Q<p=;4hYBA!qP-Z%Z@-i1OvVe~+j@`N+LL2_sVAMoLl<PGmswO`S@^{mL*O
z*T?fiOboi#I!aDoWB`|iPqm=xrq_F$EBwqAhH}Fqo+eiY7|8|n2oEYiYu(r9j#>PW
z)-R{!CC`AH-w%?1Cz9ain|V_unXPc1Z$huI+XV9CvO~M+@{s0iUVUqo72@TjRrupf
zpx=-zp7m80j^9d<b!=jSebt_iUQ$dTxySW8?^zj$+4D_BOLQ5tP1_!2`x#(uHr0dS
zAO#1z`~z$)X0WWg(^*>n0E&-IJ03KP!xX<jMat@L41a5os?Q97J9kjr14SY5ksF~+
zZ~)7_)cfg?CI+>cXD)V9L_k6)NxyOCJ9gGJd|ATR82FeEanFbf!}l)bu$Al<EW^)D
zz&FDPu#KHpsZ>GmOxhj6CD4d%TTtYSZ!-k;e~;<R$M~W5&^Jj_rFty6&_+{7zz`bL
zPeqNE@Pf;iZ5Qg#e8hfUEC2D)!2tdp8aHnGwiT{Ovd~{DH(}96i_0hP>BHXUYvka)
zoUjp4yHoL9D|U~nyVLZy9&~!9y=~@V2XB_v$9Mg{VGvdtrDC85`A-BUuJLby8R4MW
z(9UjbTv$AVCwT{a(>B&zabbb!zW7!46aCoE8@ybtle+NAPyX)l9s>Li0096043~Ex
zl@An#?Y(C<*SOQY*S*&s-?6EXsF2Et5^0zf5)Dx*l$44TDNz|Ad|${fvK5&{XeoQI
zU;mze&pFTYzMU`Q@3a+;B0;qa4m%w6!TzrBww-s_Aw|z7Uq|i-a^<yQgI}>85OwQj
zm`QAK_IR|@-MrsO)otGEQ;K@v*!{_%Z_g%jVemq|_^wGrPNpfXBT*L&Pfudorq_{=
z)5z17YtzV<MoqOpYb<E!Kt7`VYluOOwd|MpS%iz=N+pM|APHadXi;np88w)36-byz
zC<_8{5r3Fa?s{u`MA9mfqCSy%`u-v^=}=YuHjoMUkkR`WZB~)fWCEW|(=w9K?Hs)R
zhXIA5R)48xtH`NlbDEFH8gkl0g@6lXKt<_5z231^q-~7<*0Ez7h%=S)n!KR{cl-~y
zEB34+A?ZV*W07nCYo!75S9IWV9l=L5bPeGO_?T+g!VahO@1B}f(t(zolG<NZ>xfr8
z^GAR_C+rCSb^C2G9f}*zAEVlDAW!(%DBhJ^P%S$B_@)CLp6(BSzZ|=XoOi#)jkxmw
zjBS?{?V&-^Z#%pAa5nhqzSQ9+%LnBV22X+&XwY=G-F~MnJ1k7I4;wA<!*d$(d*)#(
z&;hs7$K-%IPw}$+O+h&FVl0mX)dm6MUe4X7oWPle>wKsq0*CQ;cj8pE0mo{#vGC)9
z(_a0?RC_Tva~@-4UZ%jkLl2^SpL4^`!+nElsp7zY>}D);lML@&dS7C)yujywop)_X
z0{ZPDj6TMa;gc`w@GzGTQr7YJ)S{(;|LNRthA0^XhngL(c?!S{k!QezlYw2m*C;&&
zBnVouM(j<5;1uaW0q&P9=z8E^D0`5=c0|X!!A=CuR2KG)_s9Wzz3PSSawK^FeED{o
zg%}udYt-icQGf_NYVGw2B7|69G4nVr4&hV|lUQwKsQZ(Udb*nkjF-K>`&uNxtB$Fi
zxm^_qgp_E`J|d(a-ace$Dh2DFvg*7UYLMRZOY+VN5&mqsvX=Eh8b)OPYk)NzxLi&b
zBAbxFi1PRO@F`h1Ir(LrD_jHkB}mfv91^VF3>#tC%fV8e*4%z>E%<ewNs4EYp?$eW
z)Z0h_>KDHCgg(K8)7_LqFXqW0TRhlP<e&tmC)pVGo<#5?ulih?pg>v(Cx3pN3S6PK
z><?EY!!rwg1DpyKRJ{`2r+=%$rIFF-u@MSvI2JsAkV*qCp_s7!nm902sdu@QM+J1^
ze8XrS9ehkPGOq-xgOi;wUWiTy)&pkv_5vN~nhET@^hN{Loi$@OHt8TkN`Bn*nE}(|
zdnR4PwO}aG-$tWK2S&ZvMtG?#PzWm!Y(IpDr;{-aY@Q7Gc2~+<?U^n-&Al#}S5APs
zRaL`%-3(An%{{<!(1$*iF|l21L^yQv`AmZv6JDRZeQ-|15Z<9Tr0hv#Fej94vCw6L
z)8x<pynh(MXEUC2Btr_E(TI6K<Y$8I&_ZoRs|obTxanK}yGIh=q(0#`1L|-*N6Smh
z;J<6S>GECLa0?$kkN>Iz<tfS`_pJdW=eYWWw^N}JuWl^#jSl@i@*Q|JbKpG53X_kg
zf@_9GpqL{KWPLldjK<8t<7OIPbO;sXR-E>I38H`{b$(nZ$pU=wu2#AVR4BuqB~O_W
zp-SZW(=cI6IPZJBYU>$ocpRRq%|5INoj~{W39y9eYEspI=@cl7AnL0`-~c%*cu?fN
zCA4Y@_XI?c!Faht!W2=4b%jaB?*dEsNla{!QYS&oo$0TFzhz-y_=T%=h9xBJ9si~D
zm;jexn2@a?0VX560;>*LLf3MjXd)jTK&8n!yN@68Pabl7s$>Z%X=wj$H%-Vf=H8<)
z#0GM01M#Vt1!Uio-#2_;9nKp<vgY*}<b4A<vv`*U%wD#-6gs8`W_0g?58j`Vy6Yv3
z!eMjBN&mCT&Qb-g`;y51=~ndQNdL`)ht1(_?s-E_oDvLmEaP#s@2J6%$IM?70Q>sV
z6NfqE;jL`c<J$+OQ91uLoogomatDX3JH%x{CTbujF@7GM<Kp{1HHm=c&g#00E>a-L
zmvJ)2VF|6a$NQY&Kp>5aX_3+-4z^5f-%$1yw96&BKupmLI{c$}qbEh6`KU)rQ~wHj
z>U{LQ1E!|1b-iD!w?qJ<toDt*5L-nDwssM6{7pdS$hP6OVIFwSZNYBcyn^xx9Q^Y>
z-58Qv*!8?maKeu>=3f<=D`@P%lg#9HBWMh`tq{784Hj)z19*LxQB|`Q-*hn}U_Bbc
zMgQZ!Zn|;oc*qj!<XP5ydXFIlzsbGJIIw{H2~1;8id;mmihoRKePjR^3J(UyiOe9A
zi7$FDoLxYzT9i&xmh_=Mnh~TCHG#}uXj~Xiok#aSG7`{p)&~JK>D^1{7!t0vb8)<S
z4vkq@EWBBy2Te^rZ+J7mAg0HTj-KY6LnC;u!lr~CtQfUSm&$)a4sTg#>O4G)4!M!<
z(9Y<>P7%ok<-7kO19I0t)lbc!KZnOY|NhQ`k2jR}XE+of%@;=|wC>HItG0$G*xXsL
z+u(lK`?rOt#138#xnnbE%~MGPTA5%r^h$Z_Qay@a*H^YUG=n;4)jW>3{WrHioB1xT
z9TiXrU~*iXLF*#4KjhUjAeEY{-p=2R?lJ0#x$|KL{Z6f$y=u+)$E}yQ%qab6sWm~x
z(O?!;4=LW1Z_<Ibs>+pZ>|fEg`%j#rnrBgy(P=*YojO46H43@sJc2e{e~?s~FozZj
z<*2j_(m|l0%h2`4DC!oq{-XKlJStMug!>Rg2lvSA_v4M@C_!?+_*m2e>eCV8Z@EDO
z$jr0S<obywj+Gk6yk0~**q+2B5NU9;JbZYs-EVX}WfC8wvW(`t@Hp<=O9g|=oSh-}
z|Dd~XOgb68UO~SdCQhZMYQv4JvtInXQ>a%_gjVdiHMFbLKEbw=0&vUnn5WY;dZs7c
z^4_@()bRNQjbpMDpi~L9{e3or!rSP&;(crwN4CfpX<sr#&1B?UP@O~nIJ_-*n8A(}
zc&}PJmy+Pl*20>#7xQS47_XSZA_o@vokQAEgarEnejIo4UPRZq{{;St<iezNa83%r
zM6h;loh#Q}Mn4>{+>79Nus6O&jq;xeU{uC-<~Cy$?d#HLxVFHHRR{|i-LfP=ed+qg
zN1p5G_G33+R4(&lML%zSU#`Hz$$`YeZ{?dP_v0JhYcwIuD)X&ys{tP3iGSogwb(JY
zuz2^`dm>m>yMl5RrUhmq=3xuT99Yn`H>NutiDAWYHfw1+wczCOA)WnlTv(ffxy37a
z32Zz(eV^N;CKy&;z)ig8#;WOOI@d}hv8*oDP}AF*kVUjv)XV0@%x4vPnBme`%zLI#
zwWB8Vw<LU(%;m>+UpRj#(pwg*T%0w%C#4A_PpmtwUl1FM<yKocC5O38alYU9tpO>-
zmpPm^BG{`Y_txQB1?;QYrdUvq27FeHu$TxH!@i9VY-1wI7<HMN`?FUAwu$(MeHs(T
zYGq4BIwMuFxoa=mco#L`=7nrS;YdkL^(uFd&R;bwYaSmu$It{;Sm^g|ZE0+~OwX6Y
zvFcbcu6->jMH3`0Wccjlm&KOM&gERAX=04e+en8Lv>-eCme4*SIn2yCd*j!N7FOpj
z+Az|k1sZ$%`VSi@U{~H%v}b=MV6Nz^X2m)@nECU(wM|yS>=S$1d<RKb5m%h_@Du@V
zbRX`Y<59&fg!-j(Oi(bTzQ3i>ek3Rgd1uJ8R}I^H*XaWrHw|;U1chNl3Unp*h5dbt
z!_MD0Rv~(gj%|4yx`Wr63fvyjVK#;uSouP2=W3b`Hts$kT62I71V0to6V;m7)mB}R
z{v-w_cI|k8QkxENG{_!5XphGfFOCtD0+`rfw)m}<6HHKAx7r%jO~7yoa;;uC7Is&y
zdA80*7aaIzj(T~LFk$LJT4p{Ai@0#%GtX9i$Wdy&BG^I3o?Ij<GiF$r_VVvao=`(@
zn{qk9M%2dYE=&FRGs(gpX;%-@DvTjD$NX#g9xApq;2vf0HVdmwyK!-Z-wdw2+dy1)
z&@hWQr-^}aCbrw!+cky=5GD0D%Y>7Twf1iP$kofhZuGciT|~^me$?=5sXiUEcx@JP
zFH{Fx)zHwEG_inglMd0#=5)-*X2-(gL>i_r*IOzeZ3#=0Ps~mz)3L={t0(`Ild*!Z
zb4Pd7TEf5{^^nL+8m5|Z<m}7)c#O@q^x88sD{vVtS$XrAitVuQInH)O9g|4;qhga_
z1scaJHj}-yu_L9ZXlJrA*6@ULJU`0{W;7#=#6FX;xrNYS+cz>8+m41n%PUsU7VxL+
zrW^^&&vBHrB8g(z%!k(3oUOp`;k;%NlYl*p`+oSuB@T>S6qus1WC{O0eR+F7OA9M|
z=zB$_>o5B8zx}sbE?I&H$Nk55i5l3CUD*+LGU|~KgKb~ic`ZRO&feWd1&0llYn|I8
zHI1zA%dj{dV*y#Wl?+d*sA5TBTlX~{Swr4$9NjW9We%n1B6i0dRK)5$FUSl>bAWwv
z^Mi38bNIIVQHH^rEm*AcB@eMX+;BnVm4s~%fc2F^TJSb$tUF^;`T@!dSFHyAwmSjT
z>*}`>{{8=`5-vPel^@zd&qrz9MF3U!tsCqjf(gvcOxpkC2il3rG?j;DP+J$x9XQ8_
zW!bQYB!B>@eiKjoP+|%Vl#*-(DK1Qg@G!92MgVN9-rfGuX##6qpIx%tH_^z9&c?Sg
z0x-+r-1KAB7@irXo+bq^q7t?7z55&ZVatfC_!gQmWG87f=eSOxjbXe_YySMey06q<
z8fXN*sTE?f^WV@HC;zHC@$iGHuHs|vmxgdNCeYZ8*@04zeYv(?$OpEpi2vL+3_!K&
z=FsHi6C|JT?mi=c4~m=LCP=y%fPK~|D(d<PL8()Jm5up;x<ZmDD%6MOl5_T={Ub=?
zbcEs|A|E&p9}1}u(}$(6&k4PjzYzPUCkA8n`C#hKM)Jo<J*YN%DkT^<g}iveU%+;l
z4_MDK;!DPLL2kR<v)s&Cq%X_wS8o*`^php$lst6dmB8F;@Yw}q&$gf5srvu&o~KUW
zXeSF&xK$tW>n|f)DD6EbdifzqDR<+?4i=QGUp|0qTSbWYQPVp)0w9ztVkP&H30qC=
zlF#nkKwgyYYonwK!uo`IR<I`%nxAyvzT(FQ{sxzs9;HIydXhHt=O+V9re_MaWV3@T
zyGByTrZ6~YV|VhR7?AwK@QB`54v70wCch9a3e8>-{ja4M(C0B!Ft5c0rwrmRHztcg
zj`WACwy$*H&BHod+9_^O7myy!_}9a#nR>LVyL7<p*75vneLOJd8EL$JRsu?B0v4?s
zbU5j5<Co>g2ZW11YE`l%;lcb(4(~!b@Q;CS`)7VIyV??EJs<_xF^l7c2kDTJF%Wt>
zN)VQhR=3vc%0T9G%X}7&4r#odT)#|&LCP=a`o?ovxM^ZXl5C@a1(*5deM+LhFCr-8
zVj~9u1EB?Pj?jQz)k7=(x)?0+jigGlDS)EQhw;rVG|1gWz7Y3V943?#rH>6LLLRNt
z0_~?lul(cvI&BirddODIV?Y^{LKpdQrBsk<cyWS5R0`xam)Q+sRe`lM>G$AY4@>5=
zB|7>`gIB+ryZ<9KusPMm<S3)UZ1uZ#n{FA{t#(iDSRW4fe}AnC{6+;`!<#%m4{QO(
zWkru$Y8vn(ZCuiYNrSv;%FuUCdAPUhssEKoP1s2&J$W{t1`~2^l(bp}P%iRUup88Z
z<xQE|bqzY$<UY=<xvK<RbHmiZ?F4A+=}S6$g$}n~)%c_(s{qH-Ce9soL@54NMD-We
z0h!y9C*Cxx!UU$@8DLC?3}?%>ntUCon3PNZKA;A=?^Tm;6jDIKCDp;pmjPiN7avc~
z<KP(H{$r686=;{^>uQXd;Pp^NZL72f^d`xYv<}i>p=1B^5+)01uh^Rl^)+F4%&GQi
zJ33@dc=K6q(}gw7S2#X*E!g`jbE5q{9X#fav~D}62Sn4TfZ$L($n3hkgGAPWVe+$|
z+q?8ZzRK$c{X79`Ew)__2+)Ds4b(RpriS2U??#(EM+Aq&d*pr5I<V=#d;NF$KMvGX
zj5hm|Ac#d@M!j_)DDJ!7jF|~+nQ41jN+!ee_<FNe2_4{mzH9BrJ5zXRUsUv_kqkR8
z>N$Q&rh{7Y*9mJ&1Q@LggYiZbi00whz5O{2_Q&Ci|Lg+D4)ZLmh@`-LG0Q8jUmK1v
zYBL>I0QRgWmqo==Am_8wjh&@rXgbyLw)(O;>?#e4u5_ZnVZpz%IopU}b<paKJevhr
z{S=NmG){)myjw~^#ahsc%A@BzEWqiUol~+68Fo$GU9{uW01gdCZA`ia%(EUzGeSu)
zmBD|a%~=gp*i#6yuPs2AyjaN_MueWSgUXK%DZz;&=fj^?T0r?}=~2-g1o-W_I>Hvd
z1thX+=3YLsfU>7==aq%=kia^zF7Qhd1PdP`L6H_flvyeCF42UCUf)=i1)|_K>0%mh
zXaVwyTeN>WXn=E|kEm`U9~>!?)UNn#4i;w(YjzFe;Mb``0o^A!z-?OY`r{OHU}pU-
zJrkw|4U<Wlw<}f<@VU-^QO6vNyZg@Bi>X5L-3`L^@EPRAT8F9n2LM|4hP~raC0LR6
zUZf6vN2dA9M;p8WNFEO9zdp-D$r|(E#rl5aT-<|#=)VZue6N$n2-pHguHAewXwih|
zR=6@c<PZ>*`kbwW`^SYEjk|T^Cy3N|<9eK}8HnPI9CUf4K;%V^K*af{=tXOjb5oI~
z&~AE~<CKg9xPJGMqC+Lxt@Dm=t<VHEOQ!zL?-T<XE<D}GsTzIWa!Z-~%NTs^ag6*h
zVbHQ?ztnW09KH5#0Edx`!5w`sL(LF?`R&J@er$V&a%^%Bv>rEtE{@OB$wL45_FU_}
zcV#pp_rc0_dzB&ZuKRPq2X5%R=V$BNQG)p0`jR6rYzS)#_{cr&oN(BgSI|J~9r9-T
zh>y6h0cZ%%2-eAPz#-}hKfGT%Qtv-<inB%^W=gmZp3Go_5^;w*^@MK3t<im<R!JW&
zN-zT^b2pINoxzgX-v*G{iElybaeDAJghL%-*N}88{nV=BVZ?Az*KPHeF1$GY<OzS-
z3c``=w!+{ZLuwvaHEFo%f^4BpB^8ztp&sE!eg}Ub&ecd!bR!E+;?S%evP+2M?#}$r
z9lw$6FD~uh%~-(6lY76LwTL(!kTzd%nndg!_LSL`GvVM9VZN!91*H3n$K|~zrjdbQ
zM%-mxCghcS1*cFJ5c_TS_7~dDA_A@l8gG>`;B_lqG;Dnyxo?|~Q>M-%%7=^3dKoj|
zl3YZz0LKE-A}~$bMp#5rnU-_Cbvp3z-rnt}^cN7-V7BL`M$1S8OKoh~Ne2!;{OXo=
zcL9+Izx2`b@G7#b_^6=r3mtCOT2Q(ui-?b=kMxn(>&U$yv5E2_bogc8(z*55B2w1T
z#Rf8L(Bp;|R1}~?O=nU-Ue^-Bac+3yvOhai;O?tlwWmQrch5DgpUa4xil$O@8wXJ1
z+t(Z}Qo-!|(Vi6YDiWvL{!-VK3*7Sb@!3t<FiUx03YlvNl9yY>y~GXT;4<(=MjI+>
zLi71eHxTbr7c(Pkcww;RXv*jj3T%3+72^5W04GJO-u;XpRFama!u}&ev(p{9GeYdJ
zyEtg*Nv$C4_S@?|LixwFtWR}JZ4StOQhu(IPXtEdQQ7jlBv4YaE3pgW1U}`c2w`(E
zh<r8ankz+uwh8+~vmdy?FUeH6HA5T><c^HS-6q0uR(M{KBM&%uH<;taC1FNATfmt>
z1hErcAB`4y!GyEocvZd>q%<AaZU2q{W{fUc%6oo5^4G+y{bfM(y2_)G;{<ptZu4OB
zogfSpng2d#zXdA2@a_W?0&L65Hm{!%hJ=+^H|^c>FtwoY(S8*V<HKU}dx&E2BZ*gh
zELjl}!dK_-58+{XkZDjEDh_gewRM6E%0P0SjH>R%gXjBGl_v%zU^T*%(%zs7>8861
zIHvI6Q=A>)<0l0+CMJgG$vBWQV>{@oNdWHLvz8trGO%DaTkn^z4n;Tgw^L#Wz#IFu
zc)3>=PCJUMD}g55xtt~SV3Po^SmGNu8|6USo&VE?zgm#VvYYTMB7)H9$zu{j3XuDB
z^t9hA0(5ij+>w_`f*m_#O<%|=gF=`Em6$*RDIZQX{bDkFo%HGdX`~8gRsub){@d#e
z)1^{KS{pu!(zhKrqXrqTEnRJPQlZ6UwHt>~K_k(Gl=T4z|MkXnf0F-~lWhF=#q6U)
z*ZkHT8c_p=I=Fibx&C=A>g3Jy7yk9TuA56|uWQ1t_$|@z2X%nw&Gs|Ddl{gysaD*$
zrUj(eY^{&(Gk{gos35wR1+QLDy`4Bj0C7hTVuuM6-lWI(@8Z=1U#jA`Zxa#lq2V%_
z&zT_D^^xOopFSAh@ziuxAj5ryC91<X6QnI4$p30FgrUacOK*4l^Wb9ehWH>8s<Mkh
zySt6y<b(K}*#p|}{;V!tF_8(u6<44C`ECk(PPzW&Frz}?GPhm(4+iWrRx06~M&LJ#
zVtxB76+E7un(kcEfn&$$9Ewu_e8w*=Q8OCY*A!i?sG-AKiB;;$4s$5~aX|fzGY#CY
z$g=N9pu!VvOXY8A7Lbz~Snx)g1~C;PzNe{V@L1bc@Qq;!r3n`oT@tCF7<JU{SqdIv
z7K;b9@+_f#e5E+^l{TC@RyUE~rw;mY!qJVBmasq_vtCJ~z~@J#wnVZjoYmbOks)ja
zDcV1|uN(dIy3ld{l<jhWZ>3Y}IITd_vu;mhArZ>@mR7GcNr2ShwP~XsOUMWdavfg7
zLnt=0IrW<#J|*4F;ZC-M2M$tfRE8F~W7&&X@+Q(nTYnu-wS-6$`C?rU4QTZU6)0$*
zK;|3t75Zu{K>ZHm*vqpxh~4R-SKXb8u!$ucykunoXR6CC3_MeX5aRs3JL6+04klai
z_2v*uYh@%gD}i&_CoRE(Su}Esd4{*SIoPI0MO+Jz2f0f)T(8awYG+*{HdzCpSB0~&
z(3gd^qY0twgBxfS>26=889><d3n3$8Dd-nQ<y1M@vFu~7PVk>cAlIbZ_FAMk6ptQG
z&0Ax~zPQWn6iqb)zJz-6t*^qMEx=VB6vKgCn)mHCd}az7R|}3jw&Vw$B9WocTn<d#
z-EDtyvk6Ed*B4S{xIr(3ZHPaa1AA|}9PF@Y46o;Vt-D;<p+8?#TYM`A7XDv&;G=(@
z6@0}Tr1o<aNxgYZ`TTEotk;NhtD(OUSm~F@?j4y&0?03y=gzWY0n;>6e7+$B#M#_8
zjh{kzs_$h>O0Z);<UT!LnKgif^LiUY;op(Y9zQ1ODH|s2DPE&$Z2)DtTUnyN2NBi<
z;o_@~Y#6gFSw1dPA8ISZ=l5P|K^|G8+pu%7Va{SY_2tWY0P$6sdzop7TF`@UvYDG`
zldZUDkf$E#nPu*NQSc6Z*2SR4@83k1Ot}9#)$2mu;hs2~H=oeQ#Pm;WE}LjxRPunj
zjxKb^VE3+PenD-zjlArlHqpWNt@$q>vOvR+!@JC76!m?ir0YGfi7GYjbZp+jg8F6r
z@rt+~XqE$~a;Om-rb#gzb4+DIvWDyXz~Bk=7ZU6FD2EOE(o^zDL4pZAgmP1DsVTH6
zG8e)~?AX<g9ERde1{^;pr@rUwG@8Zw_Uc(1JEnnEJ0pq=_$W1ehMY5tRxG?Kqoi?Q
z<k*Ic(|J1Z)}d(nuJ1g0*nI9D|0zza`*`BTMm-&H4eL@P5f;(l@W7GFXSuNLABu;y
zo9IwCan^f%VF^ups36D8=f;Nm0_ZQi>98am@L}=O3d)7t+0(YjgY{>$KgU*RkRbie
zr>SWTb@mLkJ9(53D|hkySztti*fVLGeEl0}-io_ew2%Pyjcah_P&^eJbc+`iF0x_A
z&#Llg_XuJX{4!zdCvAus-hXN4B|BD>l4CI3A&iZk|KeLu*M^`EzgRu992i9xvq{+y
z#pXNoSO;%WfSy{*{?w5R6ZFDt3h3h4+-tngXC4Z02mW#Ne#ebHFn-V@epUjLj&%rF
zh$F*Va6q!iUS2H3bnRs7gd}Er)VdWDB!j2p_0(Yrek`OrC))pvG?u4jeK`0b3BnX7
ziKHn3Y_G=+%PwtMti(F#*-1MRNT7OAdlrPS1v|{0z$1s<*wr+Dagzud%F-|92%;Er
zJD-@(qky$kO170W5+Net#$x+BF|1{I#xYz+30o3I|9a&UfoX+1&Lu8^wFQ5q1ShCq
zO`hLg?#?Dc(g>koEJ6~Sj=VH^jz<mKA~PD)RYC-=`<A}CYf_k{vz8IJ7Y-9GBo$r%
zPJ|f0LdVnxG8it-Nxh<79lI4YFW+oR0#q(>@R08oY-;p1V|9-v_CEjs0RR6Cmv=nX
zZ5YPwoophTV;$oh^BDbZheBDQ%oK?T5rv9KMF^pijEa(#WJIaolZ?D2L_%iDCNrD2
zfA7DZ`}$n>^?a|#v1flAtW|{FAGnV;nF=FDI}t;dB?9Ub^<zAGS_#I>=dCTQ_adS4
zH|I{}$|HYq9;;##BFvpR^YBlY7#h;moVRmRL?&c(&*OwLlw7#S>ftVd{N@5nJLQSU
zsn4tHO|=SSGc!H#xhIKAYMa_h7nD(c$bhzok{X0+9WQn4l|t#ZvjK^fswndfC5}mg
z1Sz7tQP1RMkc+>;>*1GbD6(49E=ZpY$E|C-+aqMr#%pKg?29DyW>*3IWRyAx-(sd$
z?<SxvqqFBb6v)W6?k2@@P6PUHO>Qr#$RpVS=7WK+$Vg<+5i7f{1^H<@;>?#7kl83-
z+4vrHRPed)`hbBBJaGM_t^P_8aoIKt{AZ$$;@Nb3wz+k|(aeU!_PY|IlQVyDS4SPy
ziLHF~TGfNQ-&M~Pe<h-ugqVt|-(=Li<~;HGmjUGU#8n69C?orqvPmI_$cV9}D%9yC
z23?h`E$1~<P;d#$p>b~#a$)Vze%cI>ckj=ihMOu#L%aE?$9^>wK9F?pb%r6_2t8~T
zeqRN3N;&^EZc#?XE;mCNtf}xQ;nJ|>2^A#%Y*(jyg(9-exyungLIqupME&W0Wz<`K
zlBUB|4k=co#&91t0x|QdN0R)?D164uc4bBy+3kPVx^~wH7$%LT^4N(;@vwAD%~c8X
z*#AiX`${9&mt1d`-K>bL?~Mf>J}->EVy70EUl@UpY`Dj^g95rCvE*^bnGYq7IX$C|
zGXm!KD$TF!<xnH<eCd<QU8wixjQxnI5nP{s{ggw9fP&kS=$&^npsEK4Qw}UpA;7<s
z(0EJ+{b6{<wUxhucTFZ<c^XfJ8^;cvXvvX6HZx}Wr&dRBL9G$nojw2Nz9k3iMkUZ{
z;$<(|#TQuAg~|PCj|?HzVsA}mkQmyoxKb?~G=g2;SY+vzH3Z`bg$Pvx5p>iqbYHQ>
z9Cnt{UU9YnAUKm`mqQjpmTw+S5`~wsF)ik)11bP~Iqz(qI`Siq=%rW=-&L%__RXB*
z84L`nKCBj3@}T}Bn<i}W>sWIB8N-RleGu1ip-91$3*CuZy>R!{24=^{*DRB50Ch$j
zeLIpIXsG_{^n}7D_ONEF)9-^m@ChI7d@0I;3Y>DUO>u8xucnGLo9FZ(=0S7oWCR0>
z6%h!&e{Tb$j4U+K5cJ@JR-bz>MvGdOY$@-4tYe05!6votx^RdPnNv}|iH~Vinl!Jj
zVRm7cx>KG~;L25g?}YdjoQ2@}_XYhLX3jX@Dlo4D&mOua#;-2mdqlXYEgY-Zx@LlO
zzo8DSz83?&?ipO}uQ%^wi51MvuemBJT^qjIoy`v|9mO%x%<E~Ue=&=;GnWgNv>@lE
zR?83PAslAMU*C*h#>zT;73q&^!Ai|zgZvxca6ZPQ{Ij!5*jZCS4wG6<C=e%U-_~lv
z<*uxmlm#zgW+MhiwB$5l{Ekvp@cyUxoh%K5bcrSGi2OH7#$63~ghkUb`&3}fKRdRv
z78kLMeGiwZY#N|4>Xu=C`Xk14p5@c?*+tB}=J^2ARdrZMJ|gtr)2~>p*PbgUc$P5f
zC*`-_Z;^q^GuC?Gb~n~fl8_WXzJztZjlgWf$&i`tDzn8sfYqgJtXY3s!amG0i#?<v
z!=v<vhweWd#wz<tD}v51V-o@8n@KSw*i);cnkVuLoBH%(L>>NO@6YkC@8TiBTgtP8
ztk*{|o+3AaNUas@kS3=i%R@C#f~X(;qvKeBFXc+Q<0|%G*Z!aYk{alxcAbhjIEA5y
zrSyA?)-X*Em8A0ts*rLaD{-)T2HRbE<P5L!2F7PoX7a991*A-#?pG3>!{Rqrs2jtZ
zSdM{bXW61M<c-m@$DNtSF1vP2e*V0T&FYPfT9TCEg4F%<@t+p3k9ui$qC;t5;`9m0
ztn);$acK@zF#M;x)E^V)0$LCpe|h{l`uEB@-Vx8XWlWl(s(arC9aJR>SwG}af{pFd
zA;-d3unyTzufGH^z~symuk165AhT0Ef6#ml>v_kPvCY8*io4bfe|=JbXgjyXEW-_~
zErG#!PX{wFTuX~U>I$G?8@iv)eG6M0I<8gU$O?bnb&=9@<)NV=J<a#!4i=w0A450I
z4uadF^iv}8z;1Z9j%P0|xG0`MS|*&J{O<@IvgF{9X#TSIWjbi360Y6$=K`^s=H6U+
zIp`CV`$OHLhs%0S=Yo2;AxA7_<=s01tVkT@>wClqp1(S)Ha&TvIsK%=mlFhVefq4n
z#E%(z7v>M{7UqZEl@E_JxCr3zu|xBW2P@F$q;wT73&3~JA;GLKvXHXAo=zLb4m}#e
z#|JlsptOgck0o0cc*ME#Qh)9O?Ke(8YseyCopqI^CsG!qf9W^qP`Dt)EpuHyLlpR^
z+4H}{WWjcJri?L%8%ke)%$gFG0KZcKKVlMOLI1KdbykKK>eKA0o6(Y>ChPFEs8$x_
zCS1M}TKGUpyDEX6RT_+khlEEs31CBaB)8$d04z-RL}?YuKy}oqUjeZMh|3qKc$y#t
zX1il0*u4mlFmnHcjj9}cwH``6kS`2Olkvxw4CG;S<fb67$wO@P)e9+;djV_eFykUB
zLLZaGt_KndaF;!9q3EbMh$kp^d?XUVJ!8$@{GuYPjvRk#wJZVqKYF_PP*mXU@od2;
zaU#5(rW0YZk%C_vQI5_sY7n_mpl2wg0-p5S)^4~og!eq%#^gvKa$d!9Qd14sQo7iP
zy0XyzX6HnyC>j3JdEHt`B7wEf{<eX)1ZW?ZQMBA916jnbtxZH7JO|e61C8ZDdpX0E
z@=hJv1G|JcdNe@6&n9tSqXLxq(@eP^)_}c~(;3<IS}?Bc^mB`%1S#@f;krc{5GX%%
zUb|Zd`i@B?%%l;)h%rL25Z3@=`X})QRz2t<KfI{;Nf}Zf&-^`hO#{YXr|DZAGJqS)
zuO97hQvrteW$ii(>QMR4d)YD`12aa^Q0{b9*rq3)u4PgOtTW8Jy%%8UAy)aBT@AEl
zC=W#%NHBfc(LSly5KQytGI^!dK;XRNfdVZxa4ZUC`uLg(Y&LClLc7%<Nie9rr;`XC
z@xq3S=ZqjHVqTUeTNUn^rb`x%$-|GRG!OPIBdECTTgLEF1=NJN_V~BUfNSONPYOqk
z;h=X!^W(?L@O@g)ef6ybv^JTuKaVhmTNYt7x!Oc1{~ROmzF-gdL@N$XhZ)11q)qmr
zR7DuxCh8vX<$;=rXSX9QjDfw_jdJ*dJOpWE*pv-3!=jnIwik^t@KaU{n!XW0|1p<d
zkI@?DUhAD8mSF__7H4b8-7+9#G32Uvs0Rx^n{P8BX#_jB$Q<9gq`*rfym0^FpZLDJ
z--Hyhsc_{)2Det91YE5c=ivxg#sx(ugDv@}aFrv^|J$%AkPO=1lLof&_Nk(C*JBMq
zA^D}eu(mKn@pXS0n5IKkKBW`GTLALiJJ-tI3&4+>ijoJX7?EE;<#xn{fBJvlP^pdK
z1rxppJ$&rUC|6j7$6*YEHg@jSs01!xkXtpq%Ep3Pd$WQJr}sh2HM_W}N9<tYalY?X
zJPQ(cZ4))!G=R_6rje(gF~RfUz!I((EJ%mNXV^o~0D6NR{!Gi!!D|wkcrc9xE%cjy
zARFkzX7wrGPW4TUkFYrAV#R`@Z=bm@<fjM1;}r!n(@WUF(zj;Qi_A!b-O0rBsV-E8
zN|xGoOk++_6=olj|IJI96i<&+fQcD40#t`F-2Z#oc@i@kI(Sn)h)e+<rv=d}nNOJE
zl}FM`15C*OV_M);^glm~yc>uXufRjSYfkTe$b|T0`b$juw1Fv2u*$yb8@{1&NN+NX
z36Z|O>g3kbhC7q>v7)X&al6YSB&Pr-^tXWP@o0_~BsrW)_9sr@D`Pqalp9RQLc`QL
zm`w}zv0bLGJoyJtUVL@F;4KrH@2+PKyQm3$7t^~dlNRvT&r|6wgqTsH@u>OxKN`@G
zb8jg^e;N1GBYz9J$BfSGx{^-t(SX=HvSV`}R`6qQtV=<k1--3FS5KT!2ixXdrw7#5
z@s9c%3ysXI=-VoCANNxSAMp?mlUtj(Q?VULZLp$`^$EXKSIFQjbS*sK=Qe&=T4^m-
zkR2`G8v4)sIvMV-I=l$aq(Pt4@MBJ{9H@R8r9TlO!;@QwlCONGMSpz4=j7XWp?*!V
z#;q45=qmG_-_1ymu1WdEybs)sj<ejqo^DBkU3{O5znU>1PGQRe!AD%E(wjW|Y+enN
zg(dzo$!0|4LY5HM$K1%=Vn8k+Lk*^#Z3a6TnUOc$HTAW(Jm>;j&2!954gOo7Ah$%b
zpgL{dWs_xIboozf>++^5)Lpkf9V)_x0)D?TuQTIE73yY>)X%HJodZ5Wf^F<*W5UvN
zu2ul4xCHvzZ>oS+uUphu-Y#V2$L;E7Erb#;-OsE@RRQBZhI3L`yHSa}iCi|LFj_A^
zPwv%Mf&Jq%YTNx>=;<$8iqL=vlInV}dVftB<QNq@E$Mg=33YMt{t!hkbbn3k{;Uiw
zO+&^U2E54SaDiXUmN*J3v+ydYQU(LLvLD4sd?=1Em#`xxiEh_Gfl{q9fM=oU%?*C^
zK*?fD-AM`^QkA@0J*W&ZY5TTYq6E=1y0o0xTxn$J^s=K(Mg>|V7mQ9z??LPKO~1%H
zGRWlUYUJT06^Jg%w45ChMiD(}xUCNXeRN+>I3ukJu}k|}qh9YtH;x7D`S?=~1qWG)
zr2JNeue{C~#ie4%jr$^H!$SdeIu`}2_^E*^?T?oaj!PgVv-iFt(~9W9S+yt1^dzX8
z@JJ62l0*ifoL!TFL{vcHmz=Enm&YRfp5JdvA=mxa&C_R<QEgO$n@$`VMjQ{OIaW&}
zxs%%A&m2_IDMEpcSA;s`y^OY+ACW<#W+S7QZPd`$sY|n4sT$xq<#MNji-45#CNn}t
z)KF@TNk-s*njo96Q`$w5LtDe1rd|#tRJ1Y3_+4BZGQ0$e3moN9VD|?nl|mAF-hcAb
z{bU`e4td{D=B<E2o{LZSx06t2$DU8dg1Yc=U0$NqT@huT>~k_|CZQ?i<JmsNdf;U#
z@jB8#2~|udr^dyT&|m%##<vFyVE?vf3@j)i_wQe>kMNVwg}QRN<3IMnc~-i-r7$8=
zm2f-Fb6O3>_6%OvQw7LTdOYL%g@_KerC!KpRYfn_ju&nW1C0L?<Q$qLBH5I#=vN~|
zRN-rtcp&m$pPKMI?(q3vAN=kqe)X&(dY`mQ(u|P`I-SRqXwMPR@Lb`DPn{fE7gaoQ
z){hFejkY9B`;}01V#<|^OETzegt<vk6&3W~Tk*7TE1>|Z_%JImDRk;?NI~Kd6@on9
zKbGWIL>~^#orC9M$UWaUNOPJBP3xR{-Dl;|XiI#&xaS_Uf4i51xsM9{9XWR@pU9!@
zT2EP?YkX+ecdsih<y3gdDKXJtL_q2Hw1#}dxDaE_p>>f9RInBCuiV!zgK)pC9j<FE
zC_!^V*-@Sf-<O5djvtjqPwmrZl1FKg-xH=*#xI6YHMsHVNv|Z*KV~T_{caVX3f9r6
z_A!J(El1XL4+&JS_M%iP<PTngeAZ)W4Z%aAZ^~>@6zNNz%B)iz#s^dTRv7L8WLRm`
z>FbLiw$JTq`ja2=iFmpe6*+)_-RjaYg+eI3VAx?js|0g6BiO(ngh3u{slf}X0ICUp
zS3UN(1=}*BF?G+_2i|2W#B0oas5vFmKTWd>o0;uSdEa0F(lNQyN7uR0F_}fjEU8}1
zcwF<4++TelxJ~ezif|#C-+v`4eSctf@@L1zi2Bf<$?wP1!GS#Mtf1&=FBV$xY;fF5
z54eaNFP0ivk>4d_*KqT0th|<%Bc(tWG;ZE1C37+(d0Ml-?e(3QGiT^?#(4_VKcul7
z$z?!sZPzC@+}p6DqK37?`zSCGfRo=|r9)j#O+`Up8?mIr8Mayfd`?oWPTK#3263H^
z;aFCx#?VtB9vRmLkD{2JP4;aZ<VwCNH(tUN)@<rn_iMwb`yUcNwt@dRJ}<qlQ;Dxc
z$N#wYR11o7dGiu`R&o7vra5Nnjks&>#nDs_E$FP*iO1Xj;vR!x1IwdrxOP+C9hMMH
zctAH2`ciBehxR+Ai=|z7Ps7A^^=}RM&*)x+X7wWO;8r9j9n^<6&Mut0;-CTO_4&l%
zy9+pTq>GZ@o?-m*6Gt`OR&~%m<hmqMF^^{kYd<wuAHh?@wb?$IsYABgt`J_fd0gCB
zS9NM|6c>_^;}-l#hF06+Gp|$UaK}IU0_|HTaCXsZ6Q+Y?xV3hy`JMS3PIKAgyULeo
z+}q9GE4q~gjt)NjQKUIM((`O$<Ig{MZ!EF;k^>2@?u2x(VRN`%MQJHr+&rF3yR$j)
zOAUl@`5lI!IXuKc^GBh^BF=C!J}4(x4Xk8qm!5x`!{-`J%dD1{@P|&fCd!!AAT`E}
zughc}e{|A&OuFqa?hv-zBBHMfm&*Pe`7%0>(^cnuebBs$3wAg4IiFPluOV#d%(Df2
zY_IdhbEE6H%Qx9V@d9P|^f=IXJ7Ez&kaXkb3#Bdm`KdcTJ`+UPd+6uKLwA<&!gS`Q
zitHV{r*UAzM2!f13=UCAb<244zlhD2qD5Z?n@zriD}hVh=im^56+B4Pl=?b_4)xg(
zmc_m*0&P#Yw@m6P?*DsN>xL8qikZ(2_EuJe5%0NbMZI<0^H}c5#V$tF6?ZLcCP@LB
zsLirz+?)9QzAV;|m&{0@jDKNkO&%N;$C7^T*~WM0f5V>Du%cR7=DQ5O@}M+$w}_QU
zgU--YUtgVLM*~k9WN(bh!KsGEyN6HHBHDjsKs?5Y1h1up%K6B_bvb%EvwAx8@@Rlg
zX%rV4u@$^jzCr+$C~>%)%7E}rr?~JXZdCPnfGU+tfQI<b1?i)Vs5TWpICzs6tyU+y
zJklV*Ih|jD2g;dIzf{fBPGf$wTGAAjH7X0Cd*p&Fi&>Gz3tyuUc|pW5xi`BdUlv;K
zX|6?oV@Kk>^cB<Edr(-r)gX3J7WnNf*#D9_k;l8#B%2E&NOUl#%IkzI05!V(oCg;Y
zRWi|dJSvK+uKuo7J|+uP=j)UoE!@bJnmbv)Ujp@dkpgLgW#MDQ8fDs^7oD}6-Fi?i
zi55kIZGJzK1sTdLZ6^ais*Cd88*d<u=!a|gZ_*GT^Z?KL!!7}I<80>JSO5OQtM$%Y
z7Lf#4b8eu>v<jhh^(V$xo)FO2!@oBz{{<Ycq~5Fl{s^P8K$#x3D0y`1<Qq0GZh5$D
zI(F_1MHJQAi>uZIDI%IWvF8FL1&}UkWo0cENA#)XJcgk})OPOX_K7=+pkvkAPL-BK
z{uX^gbulVvUH(f~^Z_Ces2h1Q(Nc)F$;8#%Tn)+9MSh7fR{_O6M&|yD(&*+9&%<0+
zB=kM(%417=HAu`CHh&i&i>}{ZIIL|<Mx92#)5L2?U?aQR!r?CgwL|5Yq?9^ZqSuq(
zWuXpF7GE!|gv+DVpCflm`qj~0R^>c59!(fhd}Ud=qkwF>W3UH48tB69rlvwhZTK8G
zjx(K8LQ3CFHH>RD(Aa@ws(=IqtoJp9%rq0x`tzXW+(r#lSLx%reN+#OWt+<EH<XdU
zDV>m_D;kJCdAX_mfdS;6CziikQ$aYX2Hp&*Bi8!ggvdS&x~$#4Y*wqHk#PGAmT@xb
zb{%3eqBDd{Kja}RsD}Lfn35jeC!rf6vnyshhHy5HWSuLohOV%RHiqt~qPIUeb{+mf
zh3*?sO#Yl|==#?S_kHY$sC~qvX;-2VJgL4t`#VV$rAXSIBRa_=ntQi;dbo{&#m0N)
zbcqTIr{T3?F_1wtn`M6tJ&ZxcHyoTUD<i&2b-6})3A8`HHbdlwF%WtM2%AhqbogGM
z?8{go6#70kQ~HuIFiE|PpK(+~4I};(_ha0sweh|h)yx<s3Kg6AqvcWUr|u^%ON<Cn
zn%?HF7{LHbK(xPcEM@ghG67|?>g7aqFXIHhq0Dc$j9^-JU}q>v2DOF0xqqPVKb%q~
z%*oDc1Wg_6bey-O(6+5h^|s3xR`z0eIP(@2_C8-Hok@{EgE=i7NeL_1Rjc~K20AK?
zraHN$TZ^JeInCN*mNf7s$mUD(1w%N<%}n7g+=HfK=`x?@(nE;Y(b$<OfDzM8E?r##
zbg6CaS?W3?Ecz_gba?>Gwgyn^n0V2&Y1Ul+HD-9o<W6R4z+nCU40AFM7qUB<Xn)6_
z1%}Q1_9=ea2j;7L@5I%zq5adA5yu8uAQ#WIi|;dl^6|zSm)aRo`(^qX!YT`x9ylV$
zxuy@Tv#u^Q$7#_GY1?a8J6YhO#EIu1p%2rSb)H1juH&{D5$20=EI@rZxfONzA0MWD
ze?U%L#HI2s7bPmQKy+LqtyqFCxZ{((Wz<Q$nO&vm$$!i+_2SK|<E<3P>U?7V?N&d2
zL2KpxDL-b&E%{-WDNF%7hCu7k-F3L+i;1{1V$2|6tbUT>rvv)aHot!s)nPobhfIxs
zF#-AP!LZUsZD{k%IhfPlgSGvqQr7>03B-)#n&JrBAZqZyRLcGrMi8|h`-PZ*Gqe1d
zPl6V(KF;qA<e$Q>7e|T-3@|}7%R=k+iYC<4TAfXOIEQ^}(8eP~nZf8rY&wg#CP2yC
z1C19KF`L^p9p#bC&~+^`=IEdX=#ENO{*nEQt)F)d+-6|`kC~+t^-da)cgp8mMae4W
z?NR;Y$}1K)ZZ7tL@<Sb_Pd&QZxpxD@-WnTN++u|nau;0-PN;+9ph~kr_!br<O^k_+
zX9I4o_GqptGWd3ij}f|eFwS>cECJ>05ZS225^|9YOccibydt!)NAT*PFVim2QKN?c
z;UvTM`=b6QR&;Q<DlBmC4Nfp7HPzmGMuPCfA8#^l(L->7&Iu)9E(ohhX}E7fg3Awv
z{L{J_AnQ$1S2`;<%mrsp5~tN*zfW;9j|LM&iC?=D$-@Io&ui@N-Bkk%ah{D!x&QVj
zU{Z=&yg+yOVz;V^8kjyBwUbd~h0u2TLo4U`psH)$2>t7uff1Ll+kIjKp^HY{t{wa^
zXT9TR8Kw#sa&|T>;yA$9rlt9pl^|>;lQMM}RUzC-RKmiC6TEZ>?(Uuuf;&@r6C;mQ
zfawuOsIfK|NEM5Ja4Z%E$N9ne1#1=9lG}PGXu%CF-zAsClJ>$SyU0y*J{3@M%CJ!l
z<pJHQ*9p;g#o$KudmY(XW%y_lA;|HX7XrH1x(nST;MX7WJ=$SqFjQjG6XN5CbH!k^
z7$*r?{JHnhA7#*XIimL<MgWd1nrh56N<o6Gqhgk*3apr<a1`<j!8uY*@(P~}Y-=cx
zRsB_9*=+0$555PsjBE>k1j#~v`>c-FZxxukIJr!{CIXRfuB1O1CP0D8{Ls}HRiJr!
zWKsT<C|FR={ukmb54OfNjhBdO@Nyz7fzwSK{9k>taqd@u5rQhKe5o3EJbP@d{YC=v
zV5)MryAre?%%|V7AOX{hci-LHB_U@*=+(eaA~?yIz20FX!}Hvr3e|ZjxMKIT@}j*8
ztaVn)e;Xsi#ECF<9w8Z^_qIGYSE&lEakNpfztv&<0oAdJDhrbvL-(A+)ZnvzIjsqU
zCP?@%eVO$oz-9Y{it{uikbW!vhR;X~WVa1&m)w?vx_evm$Gu75w<?+%nWGIsfA{jT
z7s<nFlyIv+2?;WFCn#?G6iA-cPdo8a0k-^~F)Y-RU@$gfB0pOfdRJ=hg+2VoU!{+x
zwTnn_fU1*kudWZI_bPq^eoF8zPeTkjlOXv%FKcPD0T67xu4(ZS;rlV4tlOPxP;=%2
zYvNH1N>85RczcrwJ$yyflLBfGoOJaRhZg|Ky59Zv(?4CNW~fbO|9qo2D{_Fx5Q;T4
z8aTcY!SZX$g;TqTz`4)t=-qrnDCc~@c{-N}4l(6>nd1~7t6o3(t`rpn|8lFm(jvl~
zgZ|d{Zv@~eIlNahk_rp~xk7tyD}kb8Q~wf+43y>R!pu7=BnqtfbW|zA%ff7NZ#_xa
zFd?08AE3f7%6k4-i2?*jf4G{#Bno}=Et_7$R1ntP=TH|e4@ADtg(;(gK<Aw?cCwiY
zF5e1S3;%Hqr>S;{nK~~th)10>$)JK{z6RN#`5(t+KJ%~M*#)M-x8Kt`P~kjd9`ouE
z8PM&VHhx&l1X-mcf76(#kkYj6+uA1u4}YZ7`UcX#+-Cm8F9nA1^;zNZQ4dM@{K{ix
zIqok;QAx?<-){(eU0!~FJ1!19V16Uqc^Z2|q3Bru0N^O+D2|m71sUPu856$&j50O&
zx5pnKB-xwH7bXmki`WQgsvcvu_;BPVEx^_X7aGk~L2$Qk)BI%c0*`%l<<~_83?_Ns
zoE&__52yLk*oD?V;o9)>&XCPM_#XfO|NjhEcR1B=6u0*t+4JJs_g;H{k5SQ-8U1Xc
zDA6F<Dy5-eBnhcxRc504zLHfLC9+p$_TKsV_kGUudCqgrdp^T3<jV=KU|#4}6v%!k
z{tFj;amPI&(hzjgyp7+7a>Hh3pw=g)-+2G*LX=Oj0qDL<E^=|=gl``*t~J&C#+?G+
z>HnD22N_z9d!fQ?Ak}w0g(s*TAARaFv7?|5viMM%hYB+=c~xx`7q{Y$QSokTXY}Cm
zjmanIJ_9)JSs}eGYsS;R*6z!Erwd&V3p1XX(7_%Je{+{hwRl=n`&u)DE<{areZ=)>
zAaOhPR5g_2dz1aPEl=n`x$m3Hc^9Yv<c?gNQi#GWO4@U$OSGYQWoeA2eH%+kjrPvz
zEWs`d+t&H>YQsvwi5gbQCT6zetURbxi|wiMew%ek3&LfkMnmS-u(igCKT&i)uwTgu
z;SPP8u=&JSaEoOXa~R{is<hUQMG)n~y$)zXf!l?o#h_(uAn+i|wW%H~Mr_0|qe25B
z4fR{&NK2Sj4Apk?xj~Fwz07S?RRi{^Y%7#0E@HK3KAeAeW*F-r&L0=dRtLfKEt00k
z0_MLkmelG$hCRz#VG|~(!{at7iTKuejH^XRlq&QuMq6Q#`16?>wB}geWeb|etPO^1
zE+<c8&0_OwN^)v&(&KvI8;g0&+)aJ2hUXk+$Qwb;TR?#Z#x{zg`8=j^{L6R~%K~<u
zgIYRBn*!CXWhdMH=P})1-Jwvuh(-Ng3_MUn21Mu5l=o>KE06Zv8-0Hn`~2}wb(9?$
zUR@dfq^-Vy$&)b0AD36LT<V7F3hg8iD9SpO_<aF0lYhMUCUPCKt!W6|q9?)m96e$0
zxJB$>#6N5zcN6QipPUOePzBSU<_}u@mM{-pd#mK_ZEV}P+$ig^3jB(nNC>>Jj5#)c
zcjL#XVEOX#iW?u5;SlXcj`y<_ETloET{ndqzN;M<HfB-=ovA4SleJY0dy~{;%S8+2
z@0%!d4oXnP8pFaGypBb6WQw6|I-r*~W~whzgo~pWf0@W^Vz(`cY@8kpkYanzg_Tzk
zdb=r<p`9)4OA`K4Y#$RWes-wfx}pG#;h5Wh96Q+SxX^SiTNaQ{V%*w0DGz&uFRixZ
zP(e$Rnww(+8=OAAuUx}Z9`vs)O>+OG24`}{&yP%;@Hyzab?hh+M0qhc-vhMpDx4Ib
z-OUBJjbr#Y&l5rQ`_!MujdWmCw$oH@#RH7q%VytLh@fccBJ%7K1ITrZ_xnuof<XAo
zyYsK*VBB>BuQg|am1V3bKaU@BGx-WuUFCp>GgJKjeimR<qj$agPyimvJx_QlEeGDc
zsloM^*udFt>8W_O5crs>iR>)Pf?pup3BN85AUX(VxJ-zE+Qlt_N4>IO%HuR_Q^^IA
z_EFwMCvk9a;A?Q|k%jSuM{XlT9!SxOOS=*+3B(X{&ab;TLq#EKoTa?rPdQxRJ}(7d
zcv;G(RODdGO(K8NlOMdR+b6oN5Wtc%_HxKgIWVUjq4(Dn0N-=0H~OVyfnX_I*TGJN
z>W2p#Ei{DSBCq+m)FC-gjPWrhR1twX{JBV#oe0?W1yoCakcTL(^d7lfd8oI$+<GNb
z4D3GpP)p<~!UREn<xq<P^!)i=C&eNO12J!T{BxCIQtybazrGUOj~~?Nv6F(}+)XLG
zNEI3l?B3p5R0gl=8#`A@rJ;z^OMuIX462XYVvkahpy1|3hBSf<Sc*9~wmVQDWASc{
zb_p4Ve?8qOPLqZArk?uQ`_(|0t%2w%s0P)>6vG~IB6Nvm9U2f-hx?`8c3B1LaJnUa
z{&j{t@TBvd4Qf&cg{?RCKLa(v^aDPjETRb0%3^D$EHxn6vYLs_QyUIt(TLYwRf0Qz
zY~BYaX@F}4k)9_+7fz=Y%-sK}3?)a$88s3$ph)TC;lDZh;B&ggx?oKOR)&{{EKD^Z
zh<v84YuFINbGU3q|Ehwfq8-dXRtNT!qKFG@0A1|CZnx7&@SK+Fo>r<FsQzA2Ul%k6
z6RVQ{G-%0CBtom)Z%zUFYY$U%*-b$Ig+x^k2N~WIwbk{VNWhpEq`Em^0xF-YOj-I#
zkk`g%)>*Cu)iM<e#9OAY_zDZGwjhDZcR@PRcOvM2y$xK9W*}i;Gic+c3QuzCi|sxW
zAg*gwtkB8~-h~Amo>x|ZI-N%+f5%CH!CHZ)vcDOy1yDa9EmMMhxzk+RO9DVW{({ZL
z)eMr|a+=<<DgwLL!{-0Cxj?{QcSK&<3=B;YFV5)5gTWGu&PozJq^u55-R?An@TG3t
z`H&o3JZEH<)v}Bo+qe0u-QN^?lQIGstYzSy7UoqR)QnYEG!`r^o4|n%#nn5<rNOOk
zMs<(+2u}EN&uKlt1l*G8)_YD$!r7&g-ayV3JW?<C(a^Xtoa{gTxrbE@cnq$7EpPgV
zhst?a-f}huMLG?&tRNvs;WA`6_>=|-`<m<EZ2(6K+k29Q_Q0)sTv-PFbSTd}&fm=v
zpxecrBC^T@wDWAm+YSuq+WIL>GaZ9yI|j)C9xfnRks|YT8PROKumbxlBlzWQd%UBI
z1^%n_nVZOBL__O6j_)fCf$EUmV<}b!n5w(vQC!Z52t}5<(p?5{um9ccw}sRo>RW4)
z{eTfA@xI#EOJe}HE-DM(iQmLBj2Mlt?cc=@viWPJsSg6nzAW8wOITg0^ZkZ#2IMgF
zrncjp9@r@Ui)fFX!j2DHE*!qffO;-#a#xq=f^>OXo6E65%yqqQ?T-ut5=9-F{#3ef
zkGRPts?&)1)6>rm{-j5*YvxKUtaX6N>ZB{1Q!ai2cR8J&K#%--T5DSJwc)*!n$_a*
zR(vMKg?sQUJtCVuA5UP@hGBmRpNFFZc-M(z)*4>)sKJ&KbON<NMVU9NF>nl@4yTPU
z2%$%P-Npyb^lF099DT*tGt+n+1OMp48+!C^uY>dQVNHn3&iKiGc^;2Ey!N@9kpb0-
z(2&xrH9$3=s6}L3!f!}eMN(oI(BX3R%X^J9K-(pZ_1cvcoNoAKCnJFo_0*><HGWhF
z-_gX)lpkw2tIA<XpK(USULtf)-b5W<oaBsV7u>{SO=YUQe=#B3Si^ruzNvxZUnhrF
z`)$0W^T)dGI5T?X{`J0@gBm2&t!J60?BEWyJduX7tSGS1>C~Pn3Z$)5t_dwrA+p?5
z5yKre6c^Dk-W@{$)5qO{^pZ5FuM}0El;S{*PxvF>Nm5`XjKDbKK#N2*^F_`Lb0W9Z
zaQydYGEjwD*cxWhAzl9KtOiqDXzY^7hv3t@cfRi}&E6e)#KUYw!%D@2K6Q@NjtG$9
zwvvUdc>p82DZuoQlf;X{_KD1{B$0sM;7d#N78A02cPXtogb!VIaFw%RC4och>nAGD
zSy0#FR^aF`KjP$nl00`u6$HgEaK`wup^u$fVOwVfkbuFdGB!z72$=pxg={&{)}6PN
zmBK=ZcE)Q|x>^OY1M;=F)wxjVtsZMMA&dr+Vy0(;RbW*+)OX=1H#(Me$?R&cD7xG;
zR)5h{1%!jAe+kF%pvSpEguSccDCR4kz%Hu-J|8^(@HO$G8&nE5^Qn@^V&w>nm!t~R
z@?J`?QR7FlWs$aB%~B|aEwt;VjtUS|FX|~4?m+>!KBp@Q5D;^pNcYq^6&N3><|sTU
zh|UYB^=k&mpxeoUkK7wofV-Zjx12^8<$m$qeAy$5=9~_>h+C;bOb(4$Zo3E)ydM9}
z*`A0LzExPgpd~@%cK)14oftZ5y_90qCyx}z_lA~@lHgSiv6lCj1mai@(^~dZL|zuB
zNIa2bxZo?{7qcyiL=E2m_`0oxSQZ9Ek0?@LP3^dOrKmLe%<`!@;HC<y-Kcz{v_t`;
z{$I<l_7YIQ0gCi60|}WY?_G81SA!NOs}C_3WzbXr%ga1XGWwYQg4i{s4tg)di*sMe
zqK;GwQfMQiyykP7C8C;ezic`BVV4|I9m%cTcBG&Np(y|7XS87JD&vhW^zvx5dz{>W
zQxJ7WeNID<HXPX}`=FnofbONN+7q@YC_%Q^-Nj26I=0DYKdUGr`x!+&X=XK)u%21+
zfJz_UwnUm%i725JM$BVpfP$3p=;Y`Z2JpJR+iq(_38fmmYHo<2ASu~a{}2l!;JuSK
z-gH$NRW(^!vJaCH@kHmi{{RLH*5Zto^UBEGx$vkJCmG2Q-ARM50akT<)jMTX(9kyb
z<3cu7L~EPEp5$l@@~?7dqQzCvv~_>qe5MlOzAgIu&$KZZ*;P|t?^H%xaXvJA7v&K>
zZ-aQ0rwQcA|GOG!uZ+aMQi?c*<dAe>mTOL>2^6le98ynJLTL}ry_8iUpzTDe@`DQ|
zKoI<7*^{G)5;80vr<zNmN318f8JJB$=c$t5!8iq^n0QCzHLVEhe4FrKj@lH=7;Eca
zn#rTs(-)r^w)3Nen|5`3cl9*txrM=xK{<5x8#?xsz>VC#7qhQtn?T3Cvcp}cWzq95
zPugqNn2{38?af0@CXf;(5+5^8KrU5L<!72{P_5g!)*w0)xK6cH+UqWjjJ#V@tsk!A
zW|EEp&Y8wgB_`KIJ1B`-Pq8<BKRJstk9Au3XdA<m*zNGKAL2-`B3)PEKtC?CU~}_y
z0|1esosoJ+1eFJD?a9rk#6MB3y?WsQ5Z5?zs?bshon{Wvd>B`YWgZaEO>f1Zhd86J
z{e2J0w=YYWQ|iE+zHy`+UNM4#`^HT(7x+-Aww@lregJD|Fsx%1GlEV*`^@A+JSgn+
zarN28A<WdxMsCX75LnucIiFZ_p->r8ct-ml?1cFq+oTW!;BYE@oX^9K7_=Gl)T;hq
zg0-{9ZHn|Ex$2g8dIvLN>Zm+=<;M_4sUhvrp3{SuuY0liB?cs7&2g_E8^mt*bvDRr
z=t0m(%Hy~0bm+gQ_)x`#KFseYwb53XF7!M&a`KcY4LZ#EU@_=hC+3prk{Q&f15aEE
zzj=vLp?xv_M`Azz!V2U6O`nj~fh#`=!=K-8;S8dKj&G)$uq0>Q(o><@kav}H-tFx=
zKGSjNLoMkGcJ!SAgJ-uEh{<|Zed1ol-40IgOYAGcJ|0b@;=#1wWb|#t>#a-pz4|D^
zpluA^O6HBhvNb_lD1#_CwSap{)!h4b{2e}gD#YR=uO>(@-BwPqn#XhG3sm;Z)Zp&I
zDW$GgH6WlU<<0W;EKXCG-BP~MjK949&X;yw9pdiJa&NUx<EtG1KKoDo!o`hs`l18W
z;TE5tgsbor?lGQ$sJ?dM8D@t%@o6<+E0%m$U-K8I3hf~jruE^!4zvkAJ);KniI-p4
zf1kitDeJsP$_H`B-1=$S`CZ*%t`AO>oxm%8>qbS(4dd|BWw|qm0+%F7izmL0<E7!5
zIvnYvxaG%$Ar=}6yuwZzqLOi3_eW#L6mbGK&AQ|e6HkVbq#xzm{o}hjxX>F=H;D&h
z*SaZ^WVl*7v&Y?h0*{sY$7*(U2EV2qcZ1!B1X<_&RP`q(aH+OQlQ%_kIGX}}-gu%a
zoFmN+*4F;Tx96CwSalb00fqxFdmB`MR*20~wrdg>H*_E7>0HDsDi@tPX;t9WVZpP9
zWvB6(vJ#8#q-8u~cp<LQR2iBbzlqc3%;3&hGFK`tt>QjP9*%`KmB6<5+3;!gIs5~5
z&%-io9e2_W*NSdagg48Bnm5VwczWuR-u*Y5_|z^Jm=P7h?Il0w$-@iyFA2-$7M_1N
zubVtILxcj{2zFVYytRl&&?+7DwxdFi5AqE4^vFXrsr#<a%o1*HQcW7HqDHhmH)bb6
z9u8ab5#obZaD(M56&gorQF-&p2#-7>NS4~12~}Lf?Rjo2G1JhaGTrk1S4D|%Psdxd
zl4S#zS3ci;ypI9J1^o(pmLLaz`(o8CM7QumT-~Yu<4lNfKP6d#PY#}m3(-II_=n$Y
zwwG9wVMQbfsm6>{S@^KTZQc<`g)(L8FKj(xN9m_p!`>>%LTeMx+P_w6lwwm<wj{%a
z4)pHLkgt(}1n0c+{l{q$XL-xMx~JSIG|SzG>68r2Xwr7=?DiKUoWjj+$cs+#Q><bI
zWuSF1hz0-6fEXepRv2mdk!n9Hl4v8qYD@SF?=B`3rubP>bZHN|>uznInn8e~qX)-j
zI9bshf#8VGyh5ndoXJ2ci~v;%2gFW>u%my#;&s7G1f_mCptbJ|0oFeft50)rA@f2>
z;k#2}D06-FrTB&2JeuY9{&@^HA|@@h^4LkDDS?HBV~GSPaG|ZT6XHdiWe4`2YL!A)
z@BhnJ-R<Yp-L8hYRz6e|ETv8HC!nW^<JzBeWZ;tl@pVn<9(0O5!M0LC7A@9~G_~!{
z0o_TzI*9~PC|?(Q3=I*bu$4AQ#mK@X4%Um@tHLPNrvF|4sys@_3yzcvmILW4zh}%H
z#1Pe^<bmf5N~nJ$#+zI~gh`!tQ#2-litC&A7AdHp0w&u@MI{A@b5wj%W+{a@ixe4x
z97rhrCtbAlrXu_qcFt+7l13+v9Oo;qA*1EKXB{8pR6y#Vz<j5f3{vn6ecI7MK{JPs
z3?-J5z{4~)UZ!0Zop%pa-QTN*1afXX<+rE6A(Ecu&2vPQq4GrAtX>_l3CUZvFsnmm
z^Vw<wy8<$?Bt%->(LnDWJs;Ov&;YuXHC!W05tVQJGkPPgiOyA~J$Bjk?R~Y+TV&*w
z5e*e)tZ-Hnx!yA2y<({glLMh9@8eZae}j*x^X_}w*iT{0T|WP&!Q*%HyDD;IQcFL=
zr-=kh%6R0ZjG&bMNLxh<3F$a*-w<=qKpP&*@gy^VlG&X@5&OwV>*KUUzP>uLO#$u`
zKE`lh#Feu*jEvqNJGW3=MM2GVrM)V<IZo$umY;Ae8U4NA&`3K+LT?#U*~+X<!QyPR
zc%v&Br6xz5)%~M{X7+d<(cjIjRcYkxW)?CcHPO=7+#;f?1Fi>*ubY7eXUmZs4iW;6
zTj@h01f=`!h$>gJ8RTiyWcik=pt}_3wwPEk#Q4p=Kl_gv<m?ra<=mr;L<M79&pYrV
zskuf;g$6T7@4a%K6;njf)_!yP9jxf|Gy}`vF1|(8sM820kJb_`LKV}t@s^zSb~RZu
z_`aoffJR;pecvHi;*Gty1v=KBoNo#hM+Pqx)61an=ij&=JRQMg!q-*0WlTZ+0(X4e
zh!h&oRA!L$TF1nH9Cl4lFaaL3qPq)O5-7}4uSM661{R+VpH-wb0fR1@1&@~^h_+dx
z*X<Sqd`P?f%KNM_Ojrz#o$nJssTn8Ap50*v`8y}$+4=!yW*;8cwc$f76{?gENvtry
zIL+Q{12CCcPV3IbjT&$7<H+e|1Ia5p<ya;LEHhbt3EXVx6MgWI_$_t_QLnsH^}+}&
zldL=m4;auN6Wa)`Ms|>5h*pw)X9$^QF-+!3)JWi9aLw<}?0{dnaC_mG0jw6un0{2<
z<u_3)0*Yk^+2N9vGyn8Kk=YYT2ruA-XU5q$g&o38j21qs=|gQ+cjDJ~Be*J|Y0>Z}
z8%#RO+@K54gL~9w+y6!Wz&W3huC-la1C^bwsk7y}pyRV9BGy%g`7Lw&qElpp1&#Vc
zMohY3HhK0*@wG0j+3aS`*F{#KK1ZDV=Ar|E+AlK;(?+ou;+H*Dx>(_cvY%1hCv7;R
z_Ow%pdlsV!U2e-8WQ8-yg~oI;+K^=G<$b_)5j!XH^K2SB8?4eDXzPyGg8lgyg|3XQ
zU}b?03X!gC@Kdi1)lqA~g+`L-RmBbL)r$W|ogOyW>zYw=|FR}T=clu!>1|_Tvpwhc
zMYBVh|DR~SRSmGcQP;b`O$E|f0{5n@Ibda-@>VZI15SkY*ce=<h8O?Qj$2uALYpP;
z>1`Sf2=;rFiaKau!{A!@QH%@lySd{Y_tl}sP;@#+lMW6H{%1ow%>~$@mwGX>>QFae
zakV;u9-=%hKbk4x2Em};LE*R>tQc1eT-(_FH|`d%8}IYL?CpHpSQj-&5b5xh_GJRo
z9JUJqalCMD<%VECy&9}qQc2wX%M3=9Z_%eTKIlvz==ohl0mGX6ZE>Nj(CHBHB=0*v
z&@-j0wV$Lw6=V4NYZ-R%fMO0kK>?tp*QT?UrhpQ2p_cC`2Y3d`7@dm}1Tl-FsCR@6
z%H3O2*WJ0GFUKhQFtadZ7yK?4FWSw&P9NS6x^ctf*^sfyw<7RQusf?WmJE@mO;TS2
zd7y{Y>{eK?7)W)_OU`+dVJ7VP!s{enz^(3x^1DgE>tDP=p4Ma_63WeooA_XumBGcP
zR1(y)CO$YE+^v72m6<BK2YeI;P5i$~L9pUzli)EjeB*k*+z}}NYmM8>$7iKsU4F8G
z?Ian>OIm|Gw*;Z`ntit<K?e9`xU8#hkwNOc<Mr}*VX&G0t9sB=7LK}l8I4zyq43c_
z?4+J3yk7g=^!BYBh^lYyHR7Ux%-q10#BDK1!m^_NqnC$|Q!Zy722$YORd2h(b_r-O
zGV}6wRsa)UuEjS~6v$kdurwT!1T+?^^SewD@=jhXGKy4#-?JhHGDA`z>!E%=nn`&#
zw?s3%R#gYWv&!G<6Vkx1a5;YGpb9+lYcF8h^_dP56S1311juJDIs7tM6|yV0wrl$}
zz?>?k&XYzKY(rUo=3XU%yUX-!%8(|oBu{qcu*<=xjZ&8aH8NbU4lq`y(uSEsdXlz0
zL?Bl<<W}wO<F?QHB~C3J2q);d9AcG+t}bmYnh#`PT$@Wh6sZd;ni1TS3-S;boMyBC
zD;X&Mb5Cw}>cQ6i5jNFo1&H!-zH9t?cfPR;#{cvTfcsgc;`~KL2&$k@ne!xrs27LP
z)hCAVSg>usA-xi`jOzKzb&;Uubzl+mvJucXNpL;$Rf7C2&VcQ^szBv^vn@glfGbK`
zB;mOdbZaylr_3nBp!?3_up)q~McNN)@|7UUJ!mwORtY{PioT?18bhetyO(F9l_0d>
ze%Z@ipZC*iVw3fmF`V8y!Wt^81aEHg@Jim2gX~h917R!1;3{Q)<4Lk2yy6YAkdT&v
zh0yF%QWO&?2^dpU>QMkLo_@ye5-BilV08a_%miM2-Sc2=RUZDEKNt5XR~(#K<8faH
z6ZjA{=&&(IgjZ~<GQ4uaP*SQBGHGD~3%aRq{x-@%`|AYXoh5#l%wBvlC~E@6t6Oq^
z5@liC?*glw0uOjwbN+X1&KOelIT*K(%D~S2P4BqJ?4Tv)7~qv}48{($i~nc{@NTl=
zyyrJY2#)t>)OIq4_xhp@qNP$$BIo7zd58v1O|WTa(Hn!R-Nv<VzLLOSLX&VIe;eD-
zANxmo1yDW^JZfn#4lAcrPjD)&VtgwG`*!vL<R-Qs9hwt?$%<g5M?wqOv8N@PkLxhd
z=S&^o&J_axRhNNpDO1?>&SiXZ#|Y9&-wkrc3c%*M?6fy(W7tKTnlu_+BN+E`l+BFe
z2NUy7zonc%*sNW^X_pIzFz{?6(XxyeW{c&DCJG0!gnN|&oW%w(?ZQ9!jD-h06xQu)
z=mxP|nkMTn%lhzns&v>qmJ4cVGjz{*4PsphG4<01yZZ8G$UM!C16W%sQ&ZB1u%CR)
z+4VQ{V1H@SSlnM$zymvMuE!2zALPD7_;>1pZPgjSAGOTD_99Z$X?+x%6A`Q!QQg%S
zV!A@e7$Zc6#m)tHOkmtUUdl_})PY#<7r2c%14NuS7@op0jm`VlnXry)!?5)acBv6M
zsM;uyy0v!>GxIxkJ^r9JaDHEOdHbFgF0ED7vr8>tKW{W&OeofZKc#*<|Eg%9^o>&e
zCjSzqsAHc%BdG<CbCVD6-=GE`DJLC6=@m@TUb5iJJxy5exE9XoLJceO<uRIj*D&Y&
z*sOYbO?choxTrQw1;0Zgf5%2_V6iMm)_1}+AhY13z<4GVjD3EgKk{=6V{95#cHL43
zR?Dy()ge^iTu}7jkMRz+N5qZkPnbFg3uG$4zeoj_W9*L3j8Q=|bK=5vT6K6TUfv{f
zp9(f_>9d{&8ekkcarEdNH3)k!mz(;H3SQ<-j~C|C!l94WYi1&9pz`$kQ8O88uo}p@
zX-A@moQ~|aO9d2g$vPt#@|YUt_x#wB`^Er`M#gCyrW9}%jtX5>p@EKncX(7{m_Xjr
z`O|bC8J>QBf9z`?4TuCQH|9FBKvc?$h)dyQm`?H&KUP2s$M$6f2->p2iG#{^HPU3L
zncWE2c}xdA#Vl{6FL6M_lRs<9k4TVti8UqoB|YdWD-eFUa)GGWn@sOzRnXsgf8DB;
z0rn4znRcgf1It)H!;I4|uk=PI9F}GR4SLQA<0T%jn{3v6^iu_Tn+!xW5}842EHG33
zBp<km?7a4|Q2~-*U>>I`E8HBIml$2<hsZvag$KjRz_+nYl$m7%svFPk@4XNJmg3;n
z=&Q<b<fw|(L>C7*zEWjz4iW<I2Yc@gYbwL{voU<sAzbi300030{|uLRJk@U$$Fs8c
zxVDRnYtMUa-y<PKv}~e5C@bxRQg)?eR7hoHm!zzFqO3}#$Si)ciin6x{rr1g&+ELN
z=bY!fKcA!CO6&AKBn4*`*y786sl&s+r6rj;f-u`8wL2t12AJ3@e3ZJ?!AN}H@ZCWn
zQ2CVBEA>hawtBkJXIs@FE0c#kg(d=ncf3pLrR9OUroc?7M;*?KTv;e876s2&M@vuo
zE5Mfd-(T0UXuvy`xKeF%64)=g<R`Z%0uxI~NcMIO&^T}EEB{R#CZ22zAR8-z2Qiyy
z+^zv!2cp~58zo^{F@`s<K^gp|iPTF$n$V*kCly~N4V+z<bz`?t!ESxF?|lm`xRkNX
z-&H3IX0v!w@VhGLR{Xd-WvdN-!HF-v9wtM$VAw<D40TwE=|5v_qXQR}xTh*J<RPix
z*YY1TO}JNg&Hg=yE}W>Gc01jw0NmGW-z@fNf$8U@)xH^B$U5&Y*R_rUAwSrp8+3Jm
zM}e#4?~)!Ed@7Z81to|H6L&m4t^?M?`~0|-44`|TePex$GOQcatLKQ-g$7&Ib(fFP
zfXv5ED`coZS|d+j46`2GH?+4rH%*6-DqDe?1u8JCHXo^U(}O`$joW0D5gdQ)e<n*z
z4bqEaH>Aes!KIDgX5!UNK#x0j&X}wYw)XR<SHtx{i^Kg%&$ua^_wE@H<j{Z%Z~9Uq
zsCvNBwr@8_p*idi7HrLUt^ro0ma_32UD%`$G90~|0I4FI@m42IIBS)ky0=FMezX+D
zTg3nfbCPT8Zfk<so-4kB`Pwkp{w_w|(h@{HBe;l1ny^p8i7H3agls<dXY-Sm@U?01
z;nsLfusD3Kx;sn_rgY@u{10z{+^n(YL*kl1i7FVIj!=O>u`=(b!41%{TyVVUfCj`8
zD*@&16u2EL>P=C!0?G9c6BZ-YLCNathEPHtG(?}P<k(mNi(My2ueTc5mzh5DKPe4+
z=|%V0?5tpJH)qt4uqv=eZJbPaCkFl7p6T4ww1QBpjGV{<6*zQ2ich{o5Pl8m9M4?d
z0Nix@oma@p5UjC_!mP;!OJYCbipw`Zpx`yvXGs)jbgA9P2h31qrp2ASa|1}LZTl<q
zT><_CMOL3t_(^b#ByYU;%@X=clJ7;j%EO2^ZENz@NrK0x@zg}LCGefUqm!E|2M=$W
zB}T1w5T{$`3gh@Jft|zagUBUm_@&$_oqXm6<6%Xt3Hds}b^U*zy6#JWq}PN`uHXoR
zrN-W=Pzm7PL_p5WKQWNuN;h`#m}I!pC%t+16Odk}?dBRO0@<Pg=DnsfjG7abMhDJW
zK)!SFE<Ft)nC<?&`bBt-5oTwup0?I^_VTHXBwhii@oR0r(mcm7X%k>J?=pjD^_Q&r
zEqGvyYvbHl-yEZT_jc}57BjeKOF!k(%mJaL#Y_T`a}1d`b1oC6rhrc(J{jI&1G`ka
zjGI}rjIut@&i0cgaMH-zP^ym^UccKNCfqW^;0%?S5kX@J_ER?C+`SGi^2NUAz4w*z
z(8kOqlG_;M_-))Gy#5gVdsx(Id#4yjue{q-<!J;WR=$h3&MgzG=lrY6cqbTTJt9B-
zs|+DV_s?ez$|7<2#W6kSy3dTh*o}{z_zl6xdSWU;Z=U!V{=jzp#D9$9(^_fNP&)j&
zvtGi)c9vjXJz_hxeVB2y?b38*Hw{7y&2N6`{X)z>EU?$e8e~j~RJq+JXfQ6=_)T&B
z1ToI?M4Gp|m+`@W%;smA0T|c_cwej^B_b;J3ElGSX7q9!?c7B+0N3Rtvol|ZiIwUh
zHa49uhNx?3@$Gbd_(Ogy*TX(UQ0fwg&98SdBJT@quNBaTkS&Gr4RgK3a^pAl2%mPw
zn^VG>Cok%OTo<*k@kBS#J>~RO_TDqbjxq1^&-nG=uY(VzB&CZ8wkm3H4M0YIZeZZ4
zG+n5F%<48G@rLlsvejZ%f5Lb#5_%?9S{K+lPj#zHza(^ZuGjCkdce?|alYJAr~`q8
zN@DcKZNy?=t%E;D5kp0kw^fy{1BrTODZ6H$6E*p-<wM=F7+-R0hqNwf!));HN&nJj
zBI2APZZ!>Okj7?iFVtuOht_uLuA!$yTEfqpZ8j;yt!8b_<Kvp}@yzY7HQ`7+BWnvq
z+1w(!TU1@rBsC#yyP~fYqmjsDIb57pUqqBmUiOjSsR0k@p<Ewz8wgHgJGb(nN<#T@
z@SBw@>cFn@ODI>pp4j~A^`wI5L&B1G-fN{t4Vt`Nh7+^vh)eZsOy`KlL_^-zkALLU
zz;u(4UgfDeLblwL=?A5r7}HLs|940gGHw{>6xY`ga<wK>@w`a9YzuaZM=FrV!N<+5
zo_In&$jT+&M8sMS3BD##!BP6kxjg#@qWx84)OzD*#Bo1&=ZwQDV4D(g%H(PzF(gb8
zJb$c(cphv2rRkkA?2oacG>IbNoaEh9(BDP?$84N|kutExp3|=4dP>*?J&R-nydYeH
z#=2kMQi7+xXSPVGHW62T`iO>VbP{s*QT``*m7vogs(D9vGZ7ipcgg448zSQA`$n-d
z6qqyi9r2!gM&!Mwh2_$_i1O1bP8a7DA>w08>sU$)aYEi?Q_|megrZ$ea%-R>DE}z%
zH1=yF*3C^`lbr7+-knYxEgn~Z65%c-=OZ0NR-A(VL$O}M=3wgwc|QfXwIss!mGP4B
zKAbxb;r+zcbUz-_lswql?R&Ln%WGoc!tD|Z?jeG0O4ajdh&<>gv3o4@y(P&145!{t
zej+L(x)wE7$Z)q({i9=U7x9+r%{Y=ULOkhkj8?rshS{OGxCid<iA1@_cjWCxiOPUY
zn>@wHuq7g<`?_@xk+Pkwe3Q`_VgJcvK6r;5s8Iiv^6&2@eqW=-ZS|ZWs!t2Gdq>N{
zKc&*52aWy2g9?Xeow_N)C+&Lmkt!KTPwMt~<2poq^bhIH@R%m3#h3L9r=_9u9J`yb
z%rIf?Dmgu~ah7Oqjw_i_mxd+DxtF!oBShlqVv8rlcj9WCX6u$PDNw#vCFXc?lsF&A
zt)RxWK$Jzi7VE5+gpXgp*!G8v5qw`3R>syZ5^4$iq*C}K!GzZ0`R2w1fp<x>H%)&M
z-`(n8R`^N4hX4BM)~sI$>65N1cgj}?@moJ12R~o)G4w#YzZKJj)72X;%>I7}hl3g;
zBz19k=AkWkp<tE>JpcAV^1**ZxU6H8a3%?MDo`JhkAEkAle8}`?`488(?egUcu3&a
z-X3hVWr3Ipc&vZGk_Fx#ga0-siUC>9e_&wSA~CDP$eY^11`}NSBgF*8;6l``xU$rr
z#D};z8J|3M*e$=w;=pZDSiC4ikrDhwyyy%L+N8q;f7R@7-6ceURQS?``0$5N5WisA
z#Lf#B!ei?bzKB5AwEgpmum6aJgby!YkOV+VSwGJzUj)v#9_b$_VFJ0FQe$$jAc*2+
z()n-^*mzg1P4o&2u%0~|71}NgQC`oB@^^{A(#U^*y2{u<o9W;E+&NJwSeR^jzFh<a
z);-=+$I1b{H37GKwu?g_*YNO4un1gRpZaj-CKvEr@%S9FC<)m+d7~pMMWD5P|Fd7G
zd0|^{P{xNL83+<c3;ZT43fIqmX`bFC0Nq1Wow9f`<jb6My4)-ZoTH704u}hZ>+GNI
z;LQp^PH`#AxF-gR)z&BPaf-lrb>fT}odU0Zgls$UkpvsHb{6c>6ocTgu*XLolp)&L
z+rc<o0#36<0Vz%#E-pQ|9CDcoxh53h%41THdEZBFL_!MWllMr>uc|?1%6sM-R#`Z^
zx{V}1DFe9+-mH07G@(vOb44hN3|E<*(-KdRLE_@!3<-)3JYFaD98(kk`#8C&G71pn
zRz7Ews0${yy)sF&6gcB|VKQz=5khih;`aT}gP!bTJO8{;0n2K!KTm3ufR#&ULdw+u
zY8$xTZqri-8*zW#&NZL&g8sYfZ6OUtACfBcHMODXOt+}-9aVT<vA7)FMTcc`%`&?Y
zUAV;IyhyvF4yg{Nr<tA^Ld{U@Gs<xTa86Iu{+X!>d0Q?RE$laf@QCDuu$_jGr+dH4
zEJ7QqOW6+`&ohE`E!T=Y4w%47I}h>qvJSkNng09A*9e9Kp4tiIm_v-!iCl(_E~s{m
zoJq|vgyMgc%S%B3al5;y3vYB`UwX~3ju{<T%4ppZE0%Efobs}evL4Jz9(Z51(*T}n
zNj}iuYXvQSI{eoy^x#GC`jqeUy3jkzO#hd$5q8%;h+q-ZgNBXVoooSG&^SLa+8A#Q
z7bLQBPL!;@kK*W3b%qL0Z$vfuXxKpiH9t*mW?gu><;b+-2?aQB=y2(7v<-ZamZmwA
zbzs@+q@JsT1k_(MC9Ndbz(3*e){}BtkXG?~+doNO*wx3XsJYz+_%(>o;z#Q6z+`5$
zL+1y9k~)Qc<JRz>mHW^+8C7WG+Tj~xILU|&TK4&|(;7ZrmI?_8RE8e$gYWw`uwcwR
zoBE?A8-e#ne&g}`iZCnmlI4CeFM9A-8sA;Cf|8=!v;Y=)kW7yiJk=_MH}8qwd0=J*
z{n^W6{r%E#OK5MKeSs)4#R_TL#I5<~$9MQ`=1CCzgDUg=HVGXR-lWy^S%S`=hMk|?
zgkiKN*7Ml3I4UQn?~0{c!p78wXaPMwcv--5L$*u;53Z)Jw&nn^e|nIixqm$v>m5ub
zb4p^;*()x^LIAaG7osSce+kXoiv=;Vl1R4F91K?^U{~VO+bvJO6U-@pgif+aqKS6P
zgge~=eDr@3TRVD*kAkYG`c?ux4@&IR^)!cHw)Eir6>k`&dq%1IE=%Ash9nc;RWrCH
z!EW|*@(ZKFJi6}aRtbD3!!xYVXA1KiW?Q+M7a5p8!#W@=fepf~25&V?fsf~es*nCE
zgS0fy`+8g)^-aD?RVAB1-`UMG9&=0>BT*jz?u9spv_$4*|1^dNN)=*P=UMT)t}v5O
zi#T2#hvPX1jo~fz;7DF6JAMeeVO{<~9GAE89r*dh2s*;f6RWCR`1I|P?|Nnl)Xuok
zDIRVFTkePD(U0)pw{cF3&(;!nM9-e%CX*2u&#A&n1|POzZ_J%L64=@6Wnz(K2>-pL
zEnaXCz*Mb-aR(_$Tz2QF9WXM4+c^gDx>ka?o?WrLqEr%BlY=M+hw0$`A~8QnM+hr*
z&SdX*k-~YcF8P0#=&=8Kb99rqFnW;YE{sV^qwT<Bd}2!n)wdmdg@1*S-Vtqhc1aqK
zohG)tXQu<N_V}5q&muUM{xTqFN(R4eOh1zOh6XOu>P!N!MDaxW5u$ir76+cC;_llt
zkUGbGGyRDeZoYJMR|*Fi??TR0Y9tNPdB#S%OGtRr!e97)9vSTm4-t3v&_L<by?sLY
z;yB>U%sp=<k2^@+l|tKTP`qjRtxbUhx-UkHyML3%;ljNE{`NFzo<Co%P$`K|F{{2g
zR{<@A@?L4Ko%dyAR<k!tVW;i`<t}GM4COK|TG&g2#g13s**-~QQlPfMlpqC{k}tVi
zou$Fm#tn~qSY*-7NoPXoH3iRZzA}+rMgx}a@YWt3Ih2~5U2#cPLc`tHA0Hm4LDj<Q
zLX;jE7uhu2S8bG$)O?X!T9XcY&mOT2drij3!hlHlql`XAUj<&o&_OPAy|7cTJbHcS
z$oW;If*cQE<ih8*`aj*XXMtA%HIDQ%)!9)o;&<0gsa=L3olt(~XQ=|#`MB+U-%rI0
zg5GBQ?+n40#^%qkQ$+H<;-D~BRW#c;^ZuHb5qu?XdmjBy5uem<?W$~4#ot#C*vBmx
zL7&d780iQFA@MM^ol^}TD>+xXTr~!##gKIo|0u{>RC`IEu7>r}h0(&MCa`&f@GGk*
zC6t->C>j7YRG0Wn_)eOD-g}cU-FYS4**(3qO+^i<pNE1HGEKquqm}FIE@ixT>Ke=H
zget1USZAN#WCnx#U(g(il+oNvw`$|rwfKPEoY<lnXqyNII!-8~Xez;7wM50Tq@TQ_
z*UjO{I<rh0K^6SXRyxdPOGQu|aY|pC_ufC@FUKe<DB&UZQ}d__wsUVS<allY0ev@)
z?vhtQGvhC9#_`JNy}D$!$BF>m?1Bu-^(yE;*z2WnRtXQM6_uJ*5U`T^@zuyXWpq!h
zo@ol8pyKzw_uec32FET2{z_EFOT;BbEo((A@_p{QlLC;CPIl|jP{vU=E63-O3V4vO
zNKM}aK!0q|)}&4e-(<h@tDPgGrSPxdb=CleK5o+6jg;{3A(n#TEIDMps+`Nc7Jojg
zZE(GSf}>l6qmLbs!R8k-@}Jl8I47zZws268_r}G7RA(u)Fv_&HR{@9wbSU&y#6G@I
z_31zfbad_#Q0E5t!2c{j_@M%>Z!4X=S4_g;xLW$3&NWU7s<OOhR>1q@J-am}#PIKa
zS>vpe1Vr=u*q(Hf$FckYJ>szlI=y0VFp?r5l&0-?HkXXE%_r42#tY-`j31m`4=iB+
zXq2etXF2rR?fc<W{2C`B_+w42EFgEqBWh!sEK>E3H(1sP;yVM;QiV=)=y;WL@alFM
zl;p4Vv=<V@&+>gT9J|cH^F+Q_x4blV{3*^DPZz-b=5y^9eP$5E8_j3VDutItmCwj;
z5J1}4!i^aZGw5o!u8#gKfhK!~&#wvyAmu#$h0sS+m}PR_I?5q|e21H4lGX{}wZ*Gi
z@jj-|G`^Z+r74asL@AktPXGt+h4ON&6?Dm6&_peOgimhHa`e&#FuFsNOE16#3KR}B
zf2bG3xEtr@@wfoaHKmMPnllDpyN9>8Q^inL(B>TDtpKu0)x6I-X$;#UHJ%+V5ydJK
znI?G<#D>Cug|+O)Kv+~N&s&RPLiSu+bdw<FHD+t?$TR}q4_^ci{S?6#fgp(n7a@#!
z9dW2Z!w5VzYeyp(BG{H`Pha^fgcsGf**QKp1nR*php%LdVD`7)t5<4-kyCqN)^m>`
zC}>m*Ii!kUbMq)!Iz|MQx`f9~SPdcTpqz#FbrCd`7@6JXA&T+#4Fg089VCpCxH@V?
zu#@ZST@f2G-2N(HbBhZdj!^3SYNkYR<+rq+w<QS;yDP^ux#&=wZc5zH7R95!MyW;)
z;wYgdK04S$gAZ44UsX&H#V%?0sHy-76b$|?VY$Xb#XN^N_9an_X#IM=FI^IUsYNWm
z*+hf3j;zCMN5ybM%cR=f_fpt);juLji3T!*MysDVNcePPliaL=48|&+%0E400B33(
z)ZEKSD9b_L6c{6ms&9fjs$Uww^47k?dVb>QyXt&0aaIm1OEh3twE+lUw0<G2BY_IW
zauH^a$jBUew4ABP0D2x!Q|h=SagTvePV^~x)JfeJ7LacM>+6qrWh_hL(&v+Q44XCn
z^UrxexdCLCiqDBINul=OuijBHMT}}vI%3vr0458EUxu*AV9s!ULdq9K%yOqk3XU1T
zCmk>Kd^uTMzGc?Wh7@eFoo5dcp+SKwi%Phi9C{2+{4~6#gf+1<|2}V{0o&tTyF7x7
zeAyp4i~W^RjkPhHIfn+!J^8CwK9P|Wv-jW$0~LJQw3Mx|LWAgwA%=U-$zyl3pRC8S
z3P#*ta*5bWhl;6{)5WR^*c1@mkyk;*#H!!q$w4|eX)Of2c%y)<_FF$~c2>ohM%x4O
z`wc;B{FBARQAJEPI>0M3sfsyU)Cc{48$xFFbHUFN6uiDqO6|Ij+FHK&>8u<hn5O$~
z39X@E%roEKm^w9d=uBRacQA(U!&EMA2PM3{8W();hZ^2wm%2a8Y62ua-+qB!C5$!g
z^xVUtj;%Vjy~mnOfW7#`^vgBQKh0KHE?-c?qv6(@>du?OrlVzP7n_wayY>e)`k@+H
zV2hN?8vjE~?7W&}Rq(pj7PlEYH8dHNU(IGWhf7v3<9PS0V5dW%ug}A^`_E`<)H2LL
z-8gS!V44b+@wM-(Sft|kjf=;74qCv=Snu2oB`Rosm90TekcuW+ySHxPCZI_sc|2}S
zN1rYn(s$%mLEX4Wo|hQ})Y6FHXGto^RNYv}@<j<>>r2zx*a5l?oxdpUQbA9>uE5V#
z6nsw~nK3Z}2>DuJ7R9E5q|FLP6hjr!A~mx&(G#GkX5Pm#M;RBLh0A1>6>wmD`#--3
zfF~5+KSA=!_=pm=fq96G?rPspe~bcHxlA2BnyQ413lH_D=yDju*3RX+7JuT96Gi_{
z!33oop8QT}EEKAK5_=e6oGP@t!HR;8>8b+jk|eSGYeSNw7l1Of8<;06;;zEe%h`v;
zv5keP>4iB!yt&1psaFa(5z(l<m?DPXOIwo_#Q?6T%`gvfD`1)S1C@Xw5oEfhJSp&+
z05$aw$Z98#b{iIAqV@`-_wHS__I?CR-72}t7f;3%p^9>4vJfs0ZZ^^XVF8(E)5Pl2
z<xufjD3xuE=kH#;w0?8a0(w?FE^@2M;tI=u@7mY6`jPee%&*_(5a9bfGVzr(?kQn?
zG%LoBVRP5ax1TTvDKB+bkyt5onJzuOQ-TkFIy#~G4>OoE{ggK4D2c2opGB@8;>Bz3
z>=ko|%s@D3X;ZzP1o~51nKF2IF<zU|7d&AK6Z|Fz8Ec$RNP5WZKg)yLYer9B@im3B
zo<~z^*0`o|n|DtRKQ9*Oa0CbqnZWD%=RdeZ#IT!qZFA6{7hl=k=Zkk=`?tCC2R~Gc
zqGx09`ik$oc>Z^+%8`C!Fq~jhTox5YFIiL5)q8w+t$wU~lb10JuA4KKy(EGQ+UJc5
zlKJt&o_p&1MvXx1dUsDRSp@6Sk8?S15kMVBHVN57M$l+D5TDl}jIAB@mj?e6z)gRt
zuUmc@!e8TWY~xA7*uRxUoHJPvOEb#~i<1pubIhEzz&>HLFysJ0K)=6_u(A=t_HX8Q
zMHCI;u;?Uz%64HKI4inCM^G3K$W~`LHPRt0;fT;%XJLGQC~-&8v@i;h%*D&R>2PAE
z>$Yd8FxK7`c~Ragf^HI<<RV$=@XE8xtT9IzRle8RALtgvN9TSQNmSC{=YJ6cS4V`g
zivH!3z^E7+F#Q!7^`(KwSr_vpBN5a;uHW&UNgTiMmmS?8Ndvn_eG0yJL{K^7K02@U
zCpYnIOL3n8+>ZX9@=0D4wTGv-oQ+uHF<;O3tXl?P7!%1hP$i1bw0|h%wMpTVQ=E*f
z5CbqhGxI^qO$?bwmWX;S8QgOs{3zHOz$Sr5J01&?Fu8B{;d=$L$Sc-otV=b3QMdaO
zPD3OVRBV@DC9V0Z1@erPumS8YnUHL)6UQ|5GpB!iCZmM+qr`d+1F)E9-qKSlfk!iU
zPvt$4NAv$aRrhfkKyYfmqRiS}aG=-8TK$>=x~*pK+(0q_{#cU^q32TQ&a=rnV2z_M
zU8xK0x&}~qEBEQIFVbj|z}PV0LBS)!Wo1_G1|T(b>D~vjEFO7s#rlSo682MWd7Mf$
zfD;{~JYM_dke~WmWQY11|K>CsG<ppnVIq8cs0SH2Q@M8Q3#g#Ltl!CHEgH1AvvuWj
z%A?@sYtG-ksbK!X`eEmE8mz2V1+A}_$AaVfel^Wh{AAu89?wUI6fG&&^<fI=I3hb>
zm#B*8nCMlp8FZL-k+<$rR>blm!(+?lYG`h=i!q^N2(FHnJ`Mwl=oph$-`b~!?E_~f
zKlK^HzUY~|Ldg`2wT;-G=Bkc9rWFk7R3oTU7Ir*IS3>194?de}brk*=6ZdqdG3?m+
z$>i>bHIDUOndJMbj(2k&Z}L(wftM$@HpLxOMrP8V6IF}qSaBia)0ZU^SU>&Jj&oia
z-;*LA^}ba{7h5j5fzGx0efm^IbdB=@59t+7k?Pp&oExiFU<Mt6#j}k~D(IE4`HuI`
zHNBvWjh{Vk4qL;;PVVKPVzguL!qnQ{!L~n=bimRAs99HiU+7b@;#aLurl%^(p0Ij*
z@Q($=Ee0BGv7+MUA8nznTd8OhruZ}{pMV$9+*dx*sF?RL_Q3&}HJ!0MRkm9iK(PF@
zt|>Pacf8KNQS({}$!gsDp11+@-JROh->ia8>yDi0J4C?)-FiM%2>@CbLh_e<R8Ys^
zzo@`<inuU*&a$cmK&dpTIqI`Ab`I}rVY@7kKi7$6Tw?%`UGL5?Z&Sv;yzH;<C}i9t
zBEPQiIe@xiTU7ErCG=DMS+*-#20O~038gmzm>#nhiCxnLwO}E^<R6karCTNKvzA}~
zl<lnx8Wj9=7!2si;`o3oLDMt^p#Q<JpQX1V`u)C<ndUBrKS=94qxJ*XhMCfx5*2Xz
zV|%sZJ`r?RXYxy<t;Ki8){!5|<DUSfr28d8c>DO=shU*+mM3`s4SXbH`zkGOMMn_(
zjQ_N4Jx>5=H~BmBlCds{FZ9e9KStHmZTDm);M0n^98at)4q-QE`5-TH?h5MRiL?NX
zbNz{{tI}xTI(Fv(@Zg0qV<+41YeHp^Tr`#>g^N@7W}-N_@qYjS0RR6Cmv=Z7UKq#i
zJ+7S@*SgnsuRUKYp-5?1EhD5*O3Ek|B6}tY36Ysua$kj#q?GU@5haO2Wu*GuKhOKT
z&pGEg<NN)7_S}7GSasMGq@qN{g0v(sRK`WoT8#_0X=R)!7%+k2x*6tc^P5m+nmo8(
z%!v<DzeSl_n!v`O_m-YcF&s4uzhdakiDGXeSufNZgQBzOiHRmr%&J`DQTF4+Aj22+
z$_mEtGGQUvu~P(_|L{F1E#t&0_W7@`bBrM4DbFe8d0}M0$yXs#Tu4rLSmEF^0>6_X
z0(#oQ=%~|{P3+*pV+jf_)Hp*pQ|~Fpmnwt~DG85s(zx;PUQ6d{W<!wuPiRn*QwU!+
zv8exz=fT;O(9Wk94PdLVKUe*ALHr_JM=ZY0ixT%nIeXX*V6ck$p@^*@?zhcwVEo93
z4mGi!-&6GACACN*o=Xq~eWahfCK6DYka#yzN*^xX8jE%OD1a_jJI{Db5s;_bWv!-4
z4@5GFYb|dDP%O=!|JywQ%qQjqKDE*VW;^15(zpPgpV%3mn<<FmcV<XD?{(q4ik=hK
zZvm9;l}O9HEQARURF=D<b-|lwy#0%sARbHJ9%&sXjLt%H4{eon;m$Kkrq4<GeoQmg
z74k$-B=?%!*8v^)W7-+4@j?(?<o_M+Y!^j2`NSt;u{xm9&8Ev|Dujb_ME#bZVtB5_
zxW@=|Aa1yF^CV3O?>lr%rkRVQ4i_>EFzSGvwbe$(9$^%BPx2kem%xC2lBHiS6(*)~
zU1b?X@M~mJ=@_pR){8U*<=mjcftj|JIGPBCt0+%>Oqa$DkIr43;Z(@u`BKoACW<zX
zZPcb!H)A<RjQpAXROpWt4f-A?h7xIa3`_%MF;eyJ#cD??ysf<bbs}UF-aBf*xac5<
zR(5B{W9_Lhpy|8yOtd)4k34Mk(;=d>S%2T`PAVMvDSRWaPy&Uct1s0m$m82cM(18X
zDl~)^JhOTui8ouLGEYk?;C_3jvr0)+c-8}T))La__|bXrx2Pftuczy;AQh^E%4dB;
zWbon+X=D*m!Vc!Tx7w^aFz>a;++uh$YAE%2_X;W_S<&Wevm5<9OO7|3E0x8ninG!`
zcu43W&al`1kq#6%JH5~FmBV!h&YswRBpl55u{dL*3nCK(jPoi){BE)B^}<Iork^Ob
zO6<`EuCqz|S{8{oFOgr!@<0V`oJ<r#{Po~=afe-hi#%#L6ZqxBRdFIcSi3}09}HqB
z$Lk^$aN+CDSO*C;90&~S5PGi<e*Mx6ai)qG!2Q<UEmsZCRoHUy*BihOP2DllPep9>
zy3M+6UJc#M##wdK4Z)+mZ<A(`5+1z9Qko{Dj>Bbsje!wH@WfH^9h;dl&e|lc2eYZ;
zme1;Sp976Sz9%Pz|EV(iuusnWJyOG~jpA&E2TY)bH}FooF$s5!ee+MVQA0M)UvC2)
zO<|@<JpE}F3B@{QwC7S(k$dA`ot3T`^xw-}ba+idnyxS@^Og!Soe;DM<THm_W*e!E
zMG^`UpRW#HBBRFGd}r?)bFeGh_Grs@60T)iz2z_>Vc11V&6EW|`|VglNFNC=joBWy
z>s7*y*~I0?i2yI2>}0)jg@iWl+$!vriYS=HD3IF?aKM^lghPph@j=tyPnXN1rFL>d
z^ddmB^W(RPCCaGB)}p-1LBxAP)j1kG7U0!(rSK=aGPb=D3yeA@ixuO6ai2sjAeJX{
zNA)fxyvOq5uT;A<&c8oNJR)cTWl6A}ov4T%cdw*0Jd?nFj+XVoe*n*}d!_w%PXT?4
zbah#HH=*D1#gO6&fL{TwnzWbln1ALs>uQn+whboN_%#8D#MH{3`$R;a)tCPacL^ac
zkLb;}F#tvk4qFIoa>%P^$9wjG0Q!;YHZpDL^VD+f)Z~#v?(GqA4L<xRY4x{6mknU5
z!s(d2yew+oTnQS>=0O9Wodb^N%|XcQ3eVLGGH7j(>JaI`h4H4MLi^{<U@9o?)$$7|
zl#;VKa`h|+)^_y~dUn(A>;2)OeH2N&X!2~5CeDr?CDG+a9+-ke$#g|iwK$HX{&BFC
zVMC_$R|&MurqIY8YHYG)6Ed8XD)WqFMS~zeZr)2KkSaWK`|!Fb_Fp^X-K55f9}bP$
zZJ#xUzbscNY|llo?)c^49wI9S<zU{{9mWurA~zBJKp6GZzg=M7%Zl09dLqBo2qs=t
znY2F@Lf_yF(nJR<1}+>q+^J{;c^WOX9?OC_@QLa5k_Q_S11sm{vJ7EtLA|EMNDzzm
z8t<PXvZD~|cM3CyA&_SdM6nbIpeQ_HIn2+2`fYDdlt&prCqXlMuap3m&NQ`&Y^M7c
zDJXaAnm#z5|FHg`fq*Y>5k2FaxbXMt<yqk~`rym{J;%tGfV-^!T5;dx#>Zy`IZS@*
zLF2!qk||9BR`xusuHfOt=+b*fzsBf6ecF~|ZwUl+nW#wM&E>;~J48?K;n#za)~=x~
z90W9tU(2kQC15MFGE^7p!qL0hXD)~kF!ZSx(_Iz;j9qzQpsueA;uorSF6a|5Sa6SV
z*ecy;nECGrz19I|{Y{~QK?GF&^o=gUg1AxKrdAQE1Ji2qms9T(Fv@GMva_HtE<RpV
zv69jOE0WI%l7s*X_jB#yG7`aEu3LATJflMVr!1qUBmwj|>sT-pDvArH+}aG$RCp&j
z@I_NZ5Vt(CA1Zw;hTpe)++jDS!f@$EcX6#CrWQ1~cqofwA<xZ{(Z3WJ;VMekJSc>l
z1J9AW={nt_`Xx=YmjX7iavxb0=sxaKdN4^#3YpcT#(WAXu%`zD_HPK|8h=@j!jLou
zUi++)7)^ok_JX;Svm)3#CHlT0b2E-Co7#B#Q((U8)|az$q6n@E8ZiyBSbq3K$kY84
zxZDzPCx>Yh<{lf!uD&CO)mFgv;vfY`GM79DG{kXr7k`i59U>l14WEt)rT|NNqz`AX
z1Tqzhb_&+ZV=e7fC{GFnY-!!@lU<T1FKU1B=_3W?vMy-4{*VICapG6KrZmnK=Wy&B
zQADr8E$@8(P@s?1>&5B2GT445#8i1%2`k6=maaKb;d=p7`Ce&RG(8o;`;G1w_P^wR
z>};e$>5|Js(pOpJ;mWJ6B$9DzX9Y*BrVgC=%Tc+fLk=(bjy*`%RKbMOw)0=xb)YFi
z>zV3xBJM5^(Gt{9#r&X!H?v;4a7w+Olo%$D!uy-e#>D8pU>9w2Tt*N2u3vAN-KBsx
z)_<2We^SHGf|({m^Lnu78hfvUx*}R6G&`%MsiWrFgMgPW_2EtI>+@R~lu!v>Dh32J
z(ClAvs(zON+`y;-;T|PCdGCj9#X${BYAH13cxnieGo86P7nSjs&htQlFbzEZ@uJtR
zK_f``krEWAO2U~`G4>26dVhFQj_qe-c=bjzAia%*Wma)F13#%_=$j+;+kcyYc72^^
zGKGvxdF-z^jnpxEWT?!T!wifETNG-pkkM+vGSk~Z4c{GP%*y95hw}y%AKTl>_;gC-
zlc9_%CNphL;QVC{QtFTQ?&>FFYOhH@YbzPGw$-QD_yD+0Qd8FH<C%i3$*4fW&Z(i2
z2n6UlJ)!LuMaE>x-;x7?N_cbX=dV&O3&=d)sb(roMq6fAX61YZ%(&GwA7p6(Ul#9w
zPs%0XkgToaI1=%~VaGW0BNlMy<?~e2Wx8J|`5$GPk;U1lp$YwP3$V1U@Rrb4#-@Q6
z>Y_R_7~fLmFHf&0H-{JJ?NP#G<;V4Eo=D)SA5{u_{Vd@9<*&yI{S+~)d$((Tt{8fC
zh~7!sY5~!e4$P*33JA`Xj}O%g;}*_>Pc%t-zhe~B8DDu^X|&v9D<z1Xh5^zH(*UbA
z?0026h{z--v(M)qKQ?IzZFjo`z!>x`@P@M-dWyK%1rBm!^PVe958MIP&nlEo+tc$5
z-;L0)YaHk*ACNu82N0h8uBSFz2FIM=JwN)36-S<P+SEjtgN%J}M@FR-HhmC_yE?&)
zDf8pG-EYm{<3nrlrC|wN%R2M5z@7;?MjAA=G|b@r>b5EaqBvg6G}`u`5+m;avuCR0
zk}0sc=N})rB8FuV@z08mFks`3LB;c<CLn(y?1i6zD4tm7apz`Wz}uS+!3(MhGz2o%
zJZz<NflA0|=+l3+mBShdZpp^5v$m>M;Gz(6#}(^jb28xI&|pE^oDmdXAll0w6GROt
zzBuK}fcYje+}_)apj7-|zEzk2`X3s<VfTXpSGJ2A71tU9-`w3p$%O>`@zF_dYb7HN
zICI{v-((2YUg0iX{rtF?;B)_0EEB$bD08&qk^yL(imc(H>v*)+o>7MwW~{g@9{>G^
zJ{ZmTfA+}X#RzUKJM-%-Sm$gs<L<8yNhw(d>b*QDHgx~~@qSjk*gBak^+6Bv1Bw%v
zwRw<%N57^}njQTY7bG1H=z*4%x<^VkH@0b)zu0q`13zSxwlPlXf}AZ^R>Ku;j7nYf
zZe-)aMj^S^o=0@yOH<6(%ro3bJD{L=te6|)i$)GySki&n(4iyQbS^4TBrBJ>^5RuK
zU&qWC9XQB)Ch*8>ZhUsr^y88`Ke`e6Te`$_fb8nu$6(5X+l=HF@=^(y{-2Nb_IfH9
z_**EK_VHk0r;zH4JOO+WMcy1p&*46G7kZ{I@nS!r*0-xk5MQ?B=?1M*;NYso-n7Gf
zD8Ajd=*dU={Vc5W)|OB}d0j!L)0ZFBz5Y#+$Rg-V6Zx3EmjWK4_4~hUC1B0T@CJ(*
zQB0v-j?5RJfUj3cK6#0NPIbmsK1*U~&UKl%?X@<zbk~-juMxnWTQ7PC&x)g)@cu_O
zH?+afp)J7sf*`KCWM(%>Nn!)fKLP}6gZqcg`uqHZ(7^8S#`>@nF3DWV<Jztb{8h}K
zKY0tIvT4#|=UN$@<)Id*=xBq|@1H00!bH%_xmqOFSr(V|UR)nk)`pEo`x_SvMRC(}
z7N+z2<j`s8-TFUzoh2`v-(^w^pSHFs)dvzWm9poLqn<YW>{Y(bWGIfMdyCm!lH}1}
zh44q(MH|#^F(tB<OJK@Mal2fr0&Z@bY<eG~4Vnx`Vx=^s(A+kf({e!(zh!cbh;?d1
z(4nl+{Abd5vd1}FMMW7SGmQnD#VL@wqI>gT#Ad88`8#{jpM>)c9*_AhQRsX(Ll`KO
z#Ya|p4E*I}Jn6xi)5=N(X4i?{<wQBuE8D0~nNY!fbJsOvZ&Km#Mn}U;BoPCbycm#2
z4Rvj#TX*l&fvP9hH7|zBqoeE>TW3Xe44HGinku6U89g8O2_93xA!%DrMxq9ezY7)I
zVAcZ=6Zzrft%yq7crW&>X`o!zXWL{(eHfc)CwS9!Z^mWM4YgaEXq1`QY$;*@I~ub;
z&(XPq$QL-hi%Sa`l&|dkWo!s<5<hwHijy!!)nIQiQ48;SeHq>nVgzO8jte>ONl2L(
zth*(ug>`X6g~v6<AhFuDOid!A&b89HFWs8RaY}^0=(`D+WcyNXN~xei?Df1&{F=!1
zZ8q9n%?uV|4t-jVSHW<-(UXj98dx32E<NgI4ozQ_B!2d(prz|hq39Yl{5dEW@Y@jJ
zlS;0&>t_{QER+mU6jH^#-Q|z|Gy@E~DhhMIRYBqJb=y~s$!JiVQY4{Z0lF$&XZB^Q
zV64ofe3!m5Ry&DrZa8NF5g&xoIaO3p^bSRfLg!HZ$#Og4hZb<?fz&3C3^J<N<R%x+
z5OJ$_&E=RG3kcE;**Y~y!iyHX?Cfo_xI3AJ48JWP*Tb5!<Ciklx9Ic_T1n$?X<hx}
zYZkCFs`i7lu7rD659^X0#8LWLf5{{roLDJ;)x%~KaV5g&pIng$&dxgDm~W%6%k9N=
zx>Es9X5L+8*(HbuLYcQ!<1FA-x`l#mjyyKq2x<KAk`G-&8lAV=Sb)`fe%d`BB2K*B
z-}dVXCuXj^)*4v@*gvn!x1l44w>TaL3dOVH<C=D=Ss8$G%tL`zPFc*7xlg*u&V*bh
z)%TN~091*Ew2XdfY}v^0CWQQ@QCWRH$<3OBr^mCeg(Z?0_E58pO?aJFFt)A!gr+(C
zr&j0`lp~J$Op#42Z+_8C3`a%}gqneeMZM&ON-<R8vgxY3`h!-ZnATI*Y6=JJ$AZXH
zB6Kd@aX?9OnRdz~Yw#h1DLm=vZ)!9b#^B#SOLz|~(fWG1+|SvYfSJZ{LT-m3{oURX
zbTM9{DPZ8~oE&5L*10_~!%qOWbx-t0WG~T<s@0x~{cHr3gp?!WR02*7vl1KKmT8X!
z+!E7GjbPhMpHikZAIiFy$K5~mgT`Mk)IO7K2&cm(Eot67__ESl^VaZB8t?P^Z8v@x
zK<Mxmi=UlbD178<Z&ug}P3q?3@wPn%pdTN<v;7b!+BJ|e!tK^*5^4{oZ6E5xXyjZ|
zjy?z8>9=1kvHeZkxqBeqn4}LECZiGvR_rMHz|l43*dN-{qb%_mIeIYI7NR$Co(=Dh
zc)G^7{G+W>#!a_z>w%+e(&?3XR@^vwM&p4HBL=v+%6eba1upCVUR{l2MfR@mzK)(u
zC@&i}Hug^kZg!8jC_1p>x42O8##Uxb`xIi>c3uY@YL;yB^jHzaj=Wb=VZ|{**n1u}
z9XO`SdP-_5E3Wx-joQ_+;rr|fvG*xdID2=ZS~rT`C$cy%@5q5$*-LZmWav5Br>5)a
z5GxL3K0e1s_cf~U;=zDA3hX1b#uHrF(A@dD-rfJW(eJ2C_Ype^MCrJGzp=!IZ1<i0
zCSLI3;z(6?$R};^_?cO~`yM;isWi$x`N)s|Do;f|ir0q8R1J$`*&H~1@Y~=X0RiL_
zO3N<N(gs<zU&%-EInha>*6OmgAbu!ou=F0+g62{-c7bj#^gmK7W|S<1xj`u=!RcDy
zRQ6lpoG=eg8;8EL|1OM|Y@L@)w`;+;<O$MBJTJPpPmogsMNvF&RmGiO3yf16n)wy^
z@q!m0X^dqP(&7)dkJf7f&lR6oI7L8f*(jTZ`{EdBd!BZDpC*hr1n1@)6ToTH6Ix!W
zk{I;u8(C986FR)s2Cqg4B4;71d10(He(AQkA^TnfhO2c~6mJP(*Rd|+)`HDAD`z&I
z+Nl9kS?<rhKM12%glb0_oio1ZFndVT>)KLg14hQ8*n5{$p(9DeS9+PU%@Z2nYyGY=
zyjlzyRatZj-Q@9Gk*iFJv?eS)SDvSth@+QHZv=CN0=`aRKN%6F3Bw6Jw-0@iK$YZe
zxv$uj@O_Hv=Tv4b7>Mi9*hbHXir0dBYeSTgQ)!#;kf#>JJ)W7HPLM%r)#%|J(<EFM
z@3^o2QVU95ZpAEG$RgP@#@N(d1>Xk8N>+GigWcIaXF+>8+!n4J((+OjYvYy#=pqJu
z&FN7<&$spVjc!?{>gavwEg_H2mA6mXbZ<K?k9V$4%qd>eKx?DDgP&`uu*RFsyEjV#
zFZne_n2l)SfyW!ncN%rzdd?Q#wnjy4cQvS257$D6)*|wu5nVXId?JMBwGy6tza?R9
zP7949l!`ng^g;Dam?YO{Wn}-t_bkdx8=uyGs1G=004|rGEk0Nvp?q2ux&>%seD7t2
zyB`f9UT11CWrB?DNf|az{I&6Z?1zGL-o{XU?!b|(CKZgkZ@5e{p!c6W(HS{w0_v*=
zMEd+yF@jlAuy{ZVslPZQrUK01!H?dQtIMkRIl1^>mVp*Jx^+lQy)y^jcVg}H+tu*z
z4^=nrVGZ0ie_^HWI)ME|(o^$LHO!eRY1u!ehI^{@_xb8sK-%SWwLmX5ENa}L-d&`E
zE`c$H$L?FeSw*{jmJ(_xVc~mCNQs2m5$p<71xt|aor@{BrivC^TY85sE8@VL!+fVg
zEa7~Ml%vnI3bx{Rx8flpQkheNeTppMT&IDo%Re$c;>;oIYs+Fz(*5D0220p1bf)0$
zcM@70E_PjUki_#3<SkgMEMfiN*2Zp{GBQnN5pE=k;!Fe6jr~cMU{IT=niHyo$KU+n
z>oyR?eZj-s;;xo3>r$0yAf||NUs*z;I(g8SIF|ic$P#i%?hO}e<k5+v<@arAHuPIi
z5D)9H024dIj5=!~3JjLLUWi~o7oX3G+CFrS<53N!zLQ0Ji*FMuH7m5J_VmLtOcvnQ
zoMo`GA%pC#IT)q)otEU*$=sU<@a0|Pm1S2c)JVBpdGPTxjb*DykF7Sqo}YaFhQs3M
zxjt3-VP%Mx-&py=Gua$cm(44>BE&F(<G<`@54&mCVjJ1KADBU9NBXyq_97TRo%yS`
zw2bz}(|vIFoGH{Vm#Ck#rt8bE=t8@ho91_PPgc5art^`S7Lh+d0E0DrUt3?OH9tNk
z&qm&70-F;%NANU1jvkUR=U}ZhKPdMgQZ3sUo_!)uWFF^1!M9mI4ty#!AG!fQ(npLy
z{6ub%Sqmpt-`bV;+bx}zwR`%D7tsiEuI86zJF%nSO>V=Qu0~o{+oRB=U_)>zDEz*p
z$%<ONlY(t5U9{aDuR|6d8$e!yroNX8GuGCMOzO(Nr2YG|+T$r@0B_u94^1{RqTIC%
zzk{l8X<X%lyKBPrVPUO4G;B8m9zVNz7ddi_M(my7X&%*sg*~69TXy`V*{BKIGsjHQ
z?#X2Sw71j)Pxki|p?w=PDXskUgpp}l@`SUIb(JpkmJ;&QTh?iw$(BCT7N2R1>xAlP
zDP8!j+1Y;~V2#G)DmmhNe~zYmPHOdCiVpl9KQ{H%ca>&el^%7~`Wvl1%s<(RT?Y>B
zUQRA8TcMR&RT6qa7HN0Izg)|Wp~AucVw$!puh3pp56%fWF4LrgcMUydq{3idb(;3%
zFIvRpy)<#7pS1p=kn@k}x%$8Qic3+ie$hJjcWgKruF#bK4%?jLrgM#3>{ZsEzi6+h
zD!Xnvt<lP5{&;@M(uQO|mZj}>D>TUx!rna>e$#Fis#pD$r~6KASAYET722?E^I7@V
ze`xF->YR@nwLm!c(9o60RoeEl%2^IY1|&;xU8gu`LC}r)5_DgqH8=mb-g$}<nJtYw
ztDkCui9yjY<;Xhi$-(K9<>O4)Y0%yr&ZG&sTSvvi3V+jno9*I%c9;blUd`N@v(f+o
zj-SGH9DiunbGQCG$;yWA^BMyNN$Nn_Cw(fp=r7GI*-C=^j2+!MjYCSu)!+yDk5924
z1Bw?o4wW@<;>dM}<|G3(kY0*b*s9NnV*$#}^G~_4K62jRz;#tfV9bnnbz!3a>(NMk
zZa%z{T*zL=t_oG(-iO~$Va5PmDK=&x;1KhbSb-=Nc#eUoX>%;t)%55ZPqqN&vZ{-O
z{3C;d!^S<^05<HtQt?!eO9<be;jZkwN(ObAIn6je4tyaey(WHB7|$nkMw%;=p=68h
z8^cjf+<(re=g?kJ44F9b#Q7x&C`y_Im+74QA)71ak?tnk9w2bP{t5}6u&|pwS?5Jw
z4w;5o6A9d_BXHyBZW62?+vvAeA)o?dcdlQM6jC&TSEqDIz$dKIU~)nLrK;P*v-@Sx
zpzTWhf;tHr1*YT3LxSj?hgTbFWYKp{;p|%=!MCAM#*c2o=;5{5OO`-HiQ7S&0#A_O
zQ|8i9>OT<-=E?2ec|{)0epue*e?kJOg=3mkU1C_KVG_M2p@>JMCaqem$ROH#JHDt!
z9C<!`C9XbJLg&2C%|GVJpuCAwVez3P-bvkAOpYO8i;w%U$zBzRu2A!O|6LkI=Hk-D
zcB<g_9j1@?r&WR3lCAcuyetL?tFD%7(0$`xzwka&b+|R2O1XAW4w<?GTAmX$aCr6a
z>y&W~_*mArZ|*J;kDn*#DSy+%fY{??z9U-TrE8pij!gmk?&n{c8P~%4dPbgVdcM-=
zxo~>KUlD6Y7ng;bwNY|-wr+8d0uNru4tNbH;YQ=sujnueW>d<XZJl&LCSIOF#fXFq
z#E3INqEu`$EzL1r)`kBP8WP8^k+JwXIqBpTD)#MC=Uk%a-qTc@<I{BhvQRj;gR`58
zq}J17wdID;u-|dld1*D|XX}0&@ra7oRjVFm-!X=z{ktu6)zz`0ubQ}Vnu>=S`V=ef
znZh4Q)OF(3z??s~M%%_I_&4aXi&e8ZY<GW{nSD<K8Gf3+WL?unr4K{ek*@#}cvIS?
z#Wb-#>1^y&j}|sY>Tfz<ZvoxQ&94aBnmEXqI(EB318q2ajvqX23D!z~^8Ej3;I#z3
zyh}l<=wGP*cZ;YM^u?~U`=8T5rM`@ZLm!pVA@!cpg(NGesL@aBtWrnKY#E-TCJMMQ
z^r8Lhh!s3xJYOD^r-p2%>P)m8Sqv`qT;klYf&;AYF3H)e;unMQ$bH%psO?VveeahQ
ztngg=lJSI$aOUYs{XHQRysT!G^}-557qtb-Wk~p%@69f|R&I2vv?&R@Vg+nmA#W1h
zmGF^Yu%X~(M*M6wY@eZS1^)v80RR6KnRh(bUmM2lz4y)@UwiL9w~^AYN<}g%{D=@C
zBeaZCMk16wqbQ-M&&f!(mc6o9k-fe=o<Gm|>)h8l_kCUO*YTG0NZ*PUN8{^3mVWR4
z;n!L}=WHNDF!h=8%&8DX>901|g9)v8t%2u~ps67Q6#t6poDfD%w$J1ol}0fq&SAx(
z76a&6jk;`VEQDBFlfjz)A9kllM#{|803wv4x%4ObQ129nx!~6g?DTD|q`oEqe>^lE
z-f<%XmwJU?dAnG6HXdzy48Y^6=Ut5t9BAi^%rlX#eQe<3NxRWx3_LsBk40>-qLNz}
z3l9w`+%0={SGnLY1UtO=JUGaNbW1|&EmKIrcjwxvGq^tVs{aiFeL7TG;=XXHl@#QP
z=69k-^&tIt*WVEaDnvwS_gX)Y!a1e^`ZsiX5c1tyJJN&<ai4M>Ee|GzKTLy91NC)b
z^KoFkeG?I%77tjmIz$RO>B%iFfjXe4teLd<egiK}pQXP2mIN>}R;}$1+Q3FqAIWUJ
zjMx0St3og$0dlssj@K00kp9S4<SOet?)I#DDZX?cBXjJQqPNz9x~W&{v(aOClJVJd
zwX=Jec3kbP)R&r2yvu(9W`E(^-(tQ$H{QbrOe8!usWriUX6bTOC&K-DJ@)+@iP)HC
zvvQl82Eai6P_tnv*5#J_GTw)XO^4AbG<T^(-qp>ukc~F%J}X;Y?MWhL>{&Tds;3TW
zSFi3a8}?$+jjh9PZHU-4zjEBLR1K<ft|@sWjbi)UiPASxiP)#PegPX%H8>Y*Ol$jU
z0@Er8Uyo$j!+thC;%G@zg*`KmFDhX(*nK{QXBr>(u=`!yl{a`*!6HSd*qV0%8_Z|A
z@-b^4%luh*&M-{{I4833>W7Qi;_V#wY6lWX)$11$5K)0Va&3QFzkgUK2jAhp^rVm;
zVpO|YtPKBbhw|<StY9)kKhkU6q%dJNdcIyu8BT_I*-C#|#lV@S{v0BMAD5^r?zSjF
zsk4XKy8k-nw{wn%s+AnN9(eiaIx2zj-3f<mwN1=*m2;6}lL8vDsuh2)D1x*-ck)Y$
zZES#;DC25M1y73_@BXK#2)PBVde;_qFj1ZB8nU0M;d-<)v%aqate()FQU6E8MxBg5
z3_H=nRgx;LEL<L<WI;=cfdmx%P9L>Ypa&^a1<wTzc}RAi{}ruD3i>qvk>$%U!nBuN
zz$0Hd@DKX280JF;o64|!`W!PDv(AOH56VLPL#GRaU&&!KlyEFzhy{F%H9DouWnpXF
z2aDCCgxK>zq$zT2K#+Q4mEBGNX*vF)%uXuUz9G#spUMuT6K=v0=LtZxQtv)`j|PZz
zT`heCPT&-Do8MlN0Tvsrp<YKiu-!PK|8<xP9%y7ex}72e{^PN_9nK68WV2!`{+<WU
zzoC5f%|ZscJ>pC2lbOIJnqursEgwX%dR$rImw{k|f;!Dm7N}qoRnMLifU)1ld(C&H
z;l2Ler`E5mu={BL7`MqGcq>)nTD>X__5~V~VM^?9(qO|*Zbldw|N0I4(#SxVS)aR1
zB?rXtjLvBu5rw_`H-DJw%E0Z!=zn1sxZuspQ<+8|#9)?;`}>1<8JO3-qC+jp16qTR
zZnT<6z#|rV8$K2SIPT_hEz|MAvefLSTeFhTpLlHPQtg300;k-FTmoP}5ur?;DGkqL
zn+i{-%YsxSr>vog5FCB{5r5@E0H&{ZEU-#B`1|tb;NA&gNTXA8)zOlJfH$5wB`gZ?
zfQ(FC`kn~zDb>1OXH)?HR(fi>H;N$dJ@RR*O%y6c3v=cN6~SFtpy*JS5=cpYe6=bp
z4!cACbk6NcARD+S&#<Hn8oAMxPeUbu(nc!uOu8~$auAX<(oqG6Xr)#4VM&lg0h5DP
zDv%+;H!}1}4Zetu4ovAugT|kYwv=fV7~&%)@to9vEsX1vZ-NYTxH%`rTBrh8at;1s
z)Pk1T8_%wF6Ckj%biDnJDzw#}IjZ?b8@7e7mpSjtLUnjQoC#Eg0@~(c=TTj-9BJh@
zAeV=5?^JhcDOEU1TOE<tuMbhxGz~31@*p10n9=e;1*C{1U7c+htgvzp*&g)4rtwED
z&wOQQKY5;4@W;XUG3r)LZC3zq_xR!?!Afv=<AE{hO9SZJnZ05(ssN!`@kbLR6+k%`
zTRh=n2*HByM4Ac|Kr56tnSO%+!%25Cvi1xig*)m>wU`2!{j|trh?0Vo*)#bSUPkaX
zF6G<8S$P<;bGA*`6$9eXOaGiIBOrvd=^sBT2mA@apM?X2!7r%d4SA0dSUQi0ni2_c
zMNXUQoID@+3|$~g?=pf>&$uYKBLm|u>Gm-*?9lv}N@ujt2nvOoO_C?1Kp0Q<xDv?#
zhg<D_o^mz<`h-(*8*-B1w1hRa7Lb8JYTbSly%8vyR{A}26$gQM262u%tJsk@(R1|K
zhOkp`KB(q}D8!gCd3JdAW9{Z*mM7#5;Xx3Ezrlboq*|6KoIUp)A8vGcu~cpVV!eWl
z^rk}4kZB-stY{9;wRo`@scHb!*Dt!KknjW7e%3FUr4{^(`rdwh1waIe(2L?pZrIbz
zw_~W;#A&6YHlAn#s4Y`n+$VCtZ$}fZTFPDAr+XwUE(n9_-zTgWPqM*kd{R~`-yY6k
z#pPffdl+2qT!_mrV218>Ub{)XeSAyfmZN2%K2%m((|3u}gLAU>-POE(+)QJD>1V4R
zI412sI?F^2c@e(qB9Z&}@RCVY*M=@+?dOQuIgkUolGbKHyN_GRc`}m9>B6$M?Bz;U
z60mvF%d&K84|i`GiQ9A40rA7)`(O07vF~kR%EMkn+_I+f<e8V+Fu(~x-*#59{=-jy
zUc9@Dmy_nD#;j?9d`Y*Jw&fD`!sE#5PTCGWXU6NPV4?*>g3NulF3ez0(s(j2*Kgy$
zywhBMrE4DeuwN-R<!>zO4@%&p*v3s-i$5RQ(ttwo=BX^oUsyIFB~`+C3y)#nX|J}`
zfOXO>H~r~4Of>gmR?_??KH-p)aQ3r0bluT$Os{)@o8CFhzn{8^TRCiQRm-VE#7k}Q
zLwXIkzO5Pm@QqDeL*#c$VY(X7{4srQ81Nncm3zf|Hgpp|l_HzA&Y}iP`5nhNS^IHq
z;~~*=6`Oddf!ME`(W*dA_>|caIf{Reu#4p2+rmBb#)p}yRDo2aucyCx9A9z_nO%9k
zg&St5xu@M%fpx9^t=6F_{1oS0>No#wTx*qik(^!y+_GPBcz&D3)3dMamV52s$+8zM
z)Dx8<N~$08D__9p6iY_?(suE&OXfv~4k^R^u3M=E(TjLi&W8WkE)l0D$up>Wr34bI
zg|oL+{^1V&&Na<X_HpC8!3C=ZO3<8B-n*W^jMI-$36s1fLHmYbgGJ?vaOKX3sHoH`
zj=fh6`S6|;Sv3_)R!k`X=VOoNwyHH;z?ZSne3T4%o_fK-ebCRjre0t3E^gqNC$6Ce
zX$sW$37`JsA`dQ17WJnExA3`ReP&maC{eN^&|G>W2d48U2JY@`<H>l2%#<`WdQk7D
zS4t@d;Q=>a6L)uUrP#Bwa#J)&Va~`_z)2RC8nB20$$i|^AY(74iw*_zi`-*tB*6X2
zl&X$TB&f&CcBOEh0Ueb%$;7BafC@=b>vVE5RR1kG<(@7xI(u4zrLa&2dS>cB#9kps
zi5=9(^u}1w$~p1T92pttcbKwzK0$#rA_e|FJ;H{5Z2$9{e<uxv6eZ7=?^B_Q*X?J_
zTiDU_s@&l;vjd;OIkG0qXwc>GzAQ3dPV`$=`47XI6zsT!O>Sd!h(y@Kz}b)+xzwHD
zA1IcBLsac!^A{OV)1;iSx-Ktro+5l*_K|`nuE!-QB}|ACzfUdY$d8KbC*Gx>lmazs
zWJ;F8g7C$?z?Qdyh`S&r^MSq;G=`*fimkIECas4zR0V_)8+G8Lxua5`p{`B%c%2<Z
zTbn(Y3=l!K*6-x6dP#vb_eZ}rW={0ubE0YFA5k<SLy$OKEd`oWY2EUjT!@R6Vp%v;
z9Id~LD!MNv4SU10G!buj(B;$wDN0F6^iwZoD7H=-N?$mBp{n6So#pwtiBnQ2SA6S!
z{9_rACK>tQH!FaSk9Aru)ySa9Gm&1$lL+uK@#LFN`iIcz6!Ns!S+dAV+B{^aUlvwe
zRu8!k2&3g3XJSyiJYsPCbmY0KJT#A9zAYmoiu&^nmfzl1L^)B@vPFi9@UJ^6kNdtD
zI<<Cokolbwl9&smQGTxkdtQ0BWf#R!s7lM$uXJT3_9))Bho}sr{Vn>kj*_Tk@e-x7
zw+f;P_`?+CtqKehZ@2FLkU~@X?dnz%s;K5=NM8esI&ckKC#oCDAjP=zzHa5J$Sp<6
zxpqJU7(S8DH0Kb|V;ZRvO<FbN86m3su~iEmf0a!P`74Wl_Ls9vi>M*o_fvR#j}AC|
zS<;T;mPeFfjRvC2s>uC&&R*1t9=vU3dYH$qfcz5nye)lI(eR+hZ&zjvO7n&IYI_vW
z@So1Gu51<5&6Z(U{}3R#%sjNp=Aiz{57obKE2GfgF8YCC2Ee;ER^}eBh$OCG9TDVL
zLOgHt@(Rxyf-&Cda_OcbvNm?~y0RpP)|z5WUFeM9&fjdMyUdEn-Sm1HZY_gKn93u5
zJ~4tJ3jd&s)(WUNy~pbPLkUzO96wsSYy_soWf$2j<Wcwc@|2IYB8YAzEv`|_7+gHm
z+5S??p&Lh{c0O?kApPa+O#^~4)TXeD7e*3LU7Vy>fHWskd)rGar85Q{f34Ke0cn(R
zhi6s1ff3miwOm_kF#<J%It~LCDdZ<Op4(ePhHh6KT6pDS1XaHNU&2)+kSr}{sY2E=
z9-+jj=|O1(Cgt0OJ*ULbF=Jox9%2*z(RSye`a?sYH|^Q<^$<ZKT>n|nsE=cUPa}_M
z&>Mo~H{#zs`9p}4LbEu=e+5hPUYt(7ZvYjt5<jd9_|ZgoQ>oFyHntjaspc`M0f?$e
zTK_ZWLEI-~x}4=mpuXXjp6xAw{M-G5#}zoy(GwR8-qMr7=OZHdJG&S(_&gf$Ghsto
zcl9y?4wJ*@@bALSlo%A+iD7PP%!n>6ls#{b9A4T#AEf6w43C+fwai-4A+0lidkD%D
z;HdDbi$zTz^zNUMcbcR`g&&^(Sd^!L&Ldyk-rMLM<n3t6oGDV|%(o#av`G#o66r>H
zQMzz%+(wi#bN3(zlu)E)lf$ssT$}~c0aX?=tXy>+cRSw@8?Q$W46#q-Wk_^jwa_hh
zIA95P0zOZY?_}_X-0N!kQEh19GS9N9n!?YEpL+-%WN=}KH|Wq)EtvcMjh#<>0H+4@
zHH?i6e7leCs?KY|*~*fx-K|DkZ}@VAd<!WgoKvT9H_-&1x+WG`i4x3mb2jgMGAU$d
zF5h-6(10_w(UIYiU0AN2<m!G1DR_5p-DzOd00nD@-%&<`824$JXV#&lFj>{6ZE;f_
zo>=s%{O3Q8ZGY3t-grg|b=qo~&9iE-eCW<}oy`m;_n_dd(9Z)NcmGe9)Ikm6K0o_F
zH@1Kk(EoOCkRyX_tJd|dURCIDl(*}RU&3@u3M%Sy$zbgzsTTh^RrugHakDOE8LK?%
zruXMSpUqR}6<YdKAp4T@rq`oYELpUEO=6uK^s1$tIvrKuX*5sVbkI7+p?*2t^BV;S
zcqoU8Eht0bJ6VS;=S?i|_WkjtPD-%MU3K^ptPDhZis|Rp+t^Ba*aF)M6$GmDI^xXA
zP_*3lJj8Mr6E)WlzM)40JMSjG3l=JY>2T5ec!xbqV38X3OKG95Y@u_@SP5*OEC&z`
zNuVfi+jG>E9*Ea%uFkb70>f7FO&e!Ycv7kQE{Tm1);P~j-Q-n-J`Xqi+cPq7P}NVG
zrDF!hr6es*Zv~hMml?4gCx;}z!}D9IEO5EWIpgFvdGP89y}D#f373yWyFO@Tg@_K_
zg>U-uKykxLJnb_TaEo7B+2vt}Ybw=WLJ#-|>!A33!;S_#|DHJx_c&m^sphk_o*a<3
zTl_2Ip@R`lRabj9E@1GXw@B=g1=sYuX^C6(AYrV~>{-VRl@GaIy!4ZWyIO|~gUOg+
zY7qUoo6HLhZT82{6J()wm$vOHKMVYOYP?dA$PdXjQDd1a1b7}C8OM5x6@psV50zC5
zLiz>oKNH^xAdxF|Z$6m~js<s4b5aO{k05qvs)Ya){p%?uM0Tj=u8c`F5CN;v9j@=g
z1bDs85%MpL6PTwwo(m<3g4p0f*>N^mXwYwbp(xA^DVOeMI`4_We>|4aSKVYGL3LsD
z#Rv~jdTahp3Xy=9v!=BzGqOM?luROs^TDRz#iuk(QV{lH*5G=Q9L#Jf{iekQpkTsY
zkF87^&YbMH)!`=(360Kc{3AlJ6ry0%U{3(u-UmNpA1XjRPaMYeSQsWvtV@bH<N#M~
zKIJi{2s=B?w0pH8;Ft5sJ*Gt-lIl&lS3WAi1D*@Pfg7TbeArk|IzSN~l$oELdZi3%
zWUWTCy5it2<eD5GdB9&DeldfM2k&{zJ)!=-1eCPK{0KBuhAWrbM9aw4;5GHJqt|{&
z!m<1AcF_~cu)94vIpL}fb68N5ihwlayxKcq<g5bcXl#D#FKNIgQHM(3Rt6HKFVc6`
zsDN#}_z9a7Ezl$655B!efL1PMt0yBWU_Ynebj3yovd7g#my%?mreoyV?pGD)cYex9
zlsWLbwwUDZ2ssFzE26i&t^%>8Gg;^M^x<pxl*Jj4hkp72yYyaV_`uCy^ZqLao|?sn
zHonS3?-0GK^R5yETq=r@`UtQvYY_Z|LjjcN%`6W$C_?|m^m7uo4dBtB_sMxd1ql49
z)n+a(57~xqNuJ3WLI4$Gr_7i<*jM@nKUN~ZPL9}j<|;#=Nc$>f=p+xJV>#Jgln3`{
zNSZMwXau*cWSaJ#%Rw}SZ(GS{F(|BZU%cgD1P`M6*}gxQg?mTd4BWaS45KX<Ej>bv
zU<z9c`tLsiu*7Yaa<=gSUu1?IOMnq@I$t1RqLzVkhqGw@?r{K*tB0n+X(K4p>HA5%
zBLyl<(b=|P%+N9V+3XXi5%?8^YQCM709`@n*g7LBFe`DLFQ_+!S{;fCGedFMy*aNl
z@NO5&(0b-Td&v;0@+nLOl11UwlPwx?%0;Z4ozy2{%>Yiu`5<gb7#tn6((a1?z=Fzj
z&N3Y6<I!{RJwuTYl>J%ncJgn>y~<)W7w8PY?Dg)Q@&taczR&LP*m44&sWuEKN&sL=
zQmT58#{(beI!G?{{lRlTn2(F{19&u^<~%&j38(kQRuT=C@oz@K@~2K<Al=w(qJM!M
zTAiHIRNPnbeaFyxewV{=h)BXMNzMu@@gcTr*=zWZKj!btBK6_b%N1dnPmDmHt#$s7
z@H(DNyw(|6rU&A&lEn)Hv@m@kNI8{t9q%5sSNuGx3nUwfuZk{EfkEJLEv2+IJh$~m
zJMiejt(Db0SuJwdUyFVyJG6=`POXuAIjaLrQSGXiuaZETdT=7$zZHC~tuJ^tO&fwn
z%nWZ0?O^h96FOY;%Xq^$>r&*j7OX#5s+jWMz{*34bEF3T;b&HJGwHRpK(;EC%`s^O
zduU@B<kY@|JDmElq7bJEPhXNTK9ya<rf8!-yiQugV{cc?WGrZay_NRa0Gl}sCk%R<
zR{X(BbF+mx%rqdVjH%&2-bpO^=j*Rs`}25@yE2Jsg*wPF7f)UYAH~iKg#EpCYYq>V
zx@JOtNF5HZMUGZ4_hQ6Cs{FsIv-nKI-wRBS4ty{m#@>GH8#b@|<K9`(89X+R{hltV
z8fcj<{8q7P!fHcVh5tJ~jYkmQu{i~*LVqH2MC_Mp?AzF}PU?~=TxW<U%VtFd&NE~&
zuANN6y!OI#;!LLS-`u*M<Oh9OA>yO%C0K}uj+16`^G@Nf9~9POtI9B*l{CFrQ-k-H
za!O{2PT`rFLs82&l_4jHjN~(UBkm}0gX6@dDLjiJt&fyk8FY{3I+DF;#mhQRe)H^^
z!nsnLk@aIG81JONBr)BE2b$PQS4K?Z+Y5#yy+TS5mGZdsM&A#7a1Ui_JI&yQj|e}f
zFDZhbK*@6T+wOyP$m{$5v$&6lPMq8$1z1%sJoo5!A8t3;zfxW|hyNW;$+X4gf$U~G
zd#>dm{>hRw*y-p3emr*mnB}@0EX>@bnU@{Gr42q0byNMtg;+=5FRL8P-F%k9amL?x
zCZ^!GOS**b@(<{W-;jmphl<HElE(0=s-LeEME>E481B_kOMt;l`x7iG6Zqii`h1zo
z%lNy5sDdF{0<6q-Q1H)8;@fzjQb5ZJ{&pkU#?Vd%bPlhZme)?>CEPXdXl>W<5EJap
zzqisb;O;=2s+h&y7h}PQa|35wTriztk%ok;vvCyN^Z4pvDM#Y|CQh$cNg?7Z1;jtR
zY0o77;;~7uHsXbL@TZSLB#Qebf#)hyWz(4@e1@WiIB|oB*Bxnjo^VtWzR|MG2v+>V
zg+zRxR8f*3F}~9UYwsoCQk5pVj@k;|&Ldu%dz}<%bsAJ|D@y>aH>H19?<$^B?D0W>
zk{m7FDC_QdEe;vEr>AD}*6~;d$IW3xfpjNNKlrIC4)Z^53(aP1;%O3*tBl1|$n#Fd
z(NmwqU?_h2NJi^6e*21IgnA<l`a%fEtuhw_zAUTslL|zfo%-=L3vPO3F*)p8Fe3`A
zBJl!c?fdwZ%R5}{d5lOTxOeDhv?!c>cg2<FJSkf8@1Z)T%YszAgDb_<M1h!J^jhpM
z87k^aUEOM8Mg7x_h9xs1Fn5GqalC{A#l1Rm=~4(g+8Y0o*H|b5lNSvoEK&|QUHMfj
zpB*P!|01f)<}U)Q|1}9TR?whbA4<O|cW$K5V$~IEB?5E<Ej0^N^e97{qdB{T7iDw&
zd;bDNV9YFhyEc&#g(Q)`QIrrs!e7a6N*jrQ)61xQ4J8&-N#@0Qs#geIo1#?7x+ntM
zl*4~j-m@Zm`U1Xp6T(O$j;cobi3sG|-G7(h%8t@yZaS5RiXzA0_`J+{5kNJ14vdF6
zQDfyFcQ!3?bR(}Tr`}BzTIYKAH85`Uxl33@kV6s)<nWYebBY0_mqD$qCoi%;(cr+t
zDve?&WWVRGi9rQ<rt`5De)Q5!?&X3U0ZrEan9pRF0N#0;GPZL<h@K?<McHLJq^I`m
zQ)!?i%;m&%3`Gkgx|I{1!mkw&ReVF!rh+t-1($zv*%v`eXFI=B+)+Xfyre8!K!Ake
zyXM|8V#wGdnxm&w8SUATzizLVgMnjL9cZK_&?Vnj!kL{aXySd>zIlcsq&@zySMfs<
z$t6t-Hx8*Hq{VZ`HB=cS*hM<!Bc+jRaqLo1s~XZJ{<Zkvq6#r`=DuP&1Qa|xi?PS3
zqnW3T&nlwTp}jxeSA0wsdFQ`hc}1&%jx{k-_>F1;MhH}Wb6p-0JC>W=bTp72e`3lh
zM;)NZGWnM>q<|!>GHUi2HBcf|U*?4^J-C_(kJ@OJ(0XILPTNg&#N(Y{{`%=b-iQgj
z`R29~vR2gK=nqswe!m5<*UScB^|PbG=erWJ=+`NE%6M>o{Usu%X9%M&Zm=F-Q9_3N
zJCdb_%E)}kIAP7m2o!7k_pbd`LR|01bSw^dS|^5uCy(D4Dklu|@1-fBj=ID2LA3|m
zO=rAtt>$3g#<pfqR0$<*neUUWh$9|`i~R+Mj)2paw8NWq1@yd*He6d-7)^~<2yvJm
zfyuKRpZLxIW<Z(0%A=?@2e}d}Zp08#we6{Q1hN*^9CUnT(HTP@p)h(T6p&%<>_mD5
zcyC>Ap>dEwAG*3fzpLBBsao_zjkAn_?9<hz&jcwX-aEo{cA^`n-VgioQ^FXUu>6+t
zDRIQ+ecga%;Sa`fefh9fiV+k(f68<=OBAsS+KVrT?_)>Cef%v*j3BGnL$=3781d$8
zUw4(Hf}W-ZN{=gsFu<<1TofUIl0x<rl@{orE!#a>zu5rV8k7GU_uxTG@sRS!nhCNd
z-ENbq7=ZEHXN}CyIMDv8hP}BJ3p@()8K}zy2)|aAxJ1v2Nbdc+%1+M;^pB};C3683
zT3%<SjH5?0Z+<&>d$B^o8MVuOQW!k(bDKMpN{NieW!||Zv%>s(_?VyaVbB?&WGz%7
zK}X}plp3F~!iOtqPn}Hl;R%2K%f*~^JSIGO#WsKy<_4mI%CG6cts7B@_v1VsG=Ewq
z@&qeLZaUeW&C~^<U0#=VvR+*KsQGDXepaCHkQRa=9Vj6g^|Gui!xG#z$vpqCfP8_g
zx|g^P3`azdje8AYC-#2~-22J`r#(iy_WZOV)#@!lnrRN(*!ksCS;hhmZ?D+NbZ9}W
z-!(=7(PeD4CM4x(5eo?2W%n^v)B>@368ebG>zGm;k-4CP1tx@NN_&$vLHbFz<HOBu
zOt*@=JN+jM=)Eim^ZfsRv8;xwN#7n;{bJ*pKOHMbS>L~39jXD`JI$De4k`Q(00960
z6qk26*Wdrf?Unhqx3|5$hb_HtTWK08e9CBwq%@I85*evfD)rSyk`XdqFCrri4TNNe
z3L#0x&+p%JJ+E_}bDwkFkNdWcXArucVwlVE<c*m#!IJ>dL*+j>U}lnR7FI5X%a=zV
zK8Q3y@1KoTn-aN@aB}UsVKWMn-#)!1$7=$vYOl6f1s;$!C!Bd-Q!rT~wYfXp7$e-f
zc5J!Ni#tzW<~oOq<MGk!7kLegQKNN3)!mRE#xs?7)a)d{^`&01qLB%Gu<N9j3E<LY
zZFUI_N&N5X*G5J#6BnH=9*}DVvFgT%-VLf0HY{mP7fLf>Yu|MZKZNkR>X(GQg*5aO
zmNsNGGT_}(vLtsy1U=Lt$IC%7m}KqXa6ioecS#F{KVKBQ-0bt>6|&f-q&pMfzyQx9
z)~5G2#UN^&DQKcCkL?a?JOV@+=$L%>n)ez7VeYpNY<#MKN|GtWIY@`Z5&KEaJK`|P
z8UCB%se}l}X)B>xI+%X;HRmcNV5xIrB1lLD3s&p5?#iQMb%J)9|A-`#Yghc|y`X|z
zm*yU!d&~2&93jP8(lD-1u#){p#k07hG^Iy$C?^L^uRkt>ZEr6rb#bd<P+r;URXH7^
zF-03oyJd0duvBuGf;v)feZ0KAn+~Z1tL(M6$YatjU(C!}1Hu&x8_X!nI?TDShYl)0
zu<m7e|4vQRTvr({*}_2XSis!q870(lErcgt)WW@MrtS8H418C$KVqn$0#;s??1>s}
z_)~;KjMSKrj#3ypuzc?1hI5CN#&ode;P{%XM@$UlI(F<Dq+)*e2fhVSJw&*s%AIvG
zhN*aP{p$Csc%{e|o};dhse(4^-3!K8lgab5wOS26w|KvHQVl@&m3ry)$^=6hhdLae
zs$)Q)CMkl=5aZ7j!ejDHQG23#Vf9T7%%AX%`&D9yIDWsp%p5ap^{v}37^8{dbcJ7m
zEF<V{GMF@YZVqpQv=UoyE#&OYd$Bdy2ol9UoCWO`;An{{v{lyz|DFGiE!{A}H!_7g
zjl&9=>K8M$+O?4+`8`T>rx7yZf{is8D^Vyfww3ds4$8%Utn}_P#6qF-zcycMY@R!{
zB>Phb&hf`peZ>v2;e~H?@Yz*ZqGVU8JLrNuL?qSz)yJNmw$lGHS;%xdb~gQpE?zwI
zf1Hq^hYe005~>@3@|15&ohNni(kjPfaX|+UCbVM=N#Ok2yz~?wUHn(>6~Dnq8^>Hl
zGb5C3z#){l_PU5JLS3Jh_FHLU{-#&Uc%TjTpWAWU?wSs`(-ty=80xrFyhhdWe>Pa?
zWxSQ0*M^{)V9Ov?6^rh@25L1nP+D4B-D;(ctD6_rU6E12H^qzZx!>4erBwZh>VH~j
zy5pdI%uxYaJ63Pfduf9Qj*-VUE&rQHzc;RRS7q@1r~ay)xi*;g{mhi|(txV4$VGK?
zN$_^$^bN<@pd;Bu)Y?WJGOsQ)?>3^~U;m0rN^5OUYBcS)S49nMFAefP@QJ`;j?>|Y
zfDHme+KYPTsrV$Q|9NAm0LE+jD(shasH$h*7SO2zsns4|lrQn1OJQgvI|P_G{#Zft
zlrmNv8PO`-&57o4rs7#Spj)>!v)M-xgv`#lx^6bOl#M_863fD<saelDS9y5z70EvT
zu)umeX`H*QWfdmAsQ>x3Ll)NY)suq1=2&Y_k1gI+ScStCKhoY_k%s(Rn?v`fXIa;8
z{w`U!#~K}%hFgFBkVH`*o0lB%hm{yrFMFYQB`7t``hhzouqA{)HGuhtm6}*T<<7kl
z-8!4)Zn29)Jfo%IsM#Nu=K1kz>n&DDN+|!ex>^jsBD(}qivF-lwn{Zs=2=4FmhbT6
zJED-#cqqxdGRu;0Dea~5TVneY_uacUh~UdZMuFDbzpR+cdL7qyTi}UTeWbuuAsGHz
zDzMn_kM(__?8TZUbF|zUsac~W2&r60ED0{K0w>*EZRqCMeyli{_p1PwQdT%!U|V8+
zqQ{mb+%UtNWZo*-Hh$PKLtatS*s%R&v7Moy84i!V=MLfIM``ngBBST*AnpjsGESM|
z{^&t&ML#~+AkIDX4+ms5ZW-O2HNm32^`6k5yx@({zL&L{3#PSCz8*Vlf>_H@jfH!>
zXy|@>Q}rn~_K9p$ct2x|lbd=XZ^ZM$qPaG_%a9jcS%0FQM;Jq*wcQ}%A}_LR!*z{o
z`4F4+$!;~TG1|Z6hA7l6uUp<Y{`;T+w6va@-AHGG=Y0j!Re=v||C4y;U@ZuTmEHC2
zx=frfkpJU&l@C$Tr?jtV2&4DPNhO0?2CllaojhvJ54O#Pzt>BPqSAx4x5b}<bg#>~
zPv`leu-~#O%Rmf~8`rz=^D@xInoblO6hO+_Tmv^x3g}ldqBWk<v2nKj&cd%1IPI5r
zV&Sql+{n(#Gk$aoxf{o*stX}Pr66YYcL}8Lo_d}kL&xN&Hvz#B!q~Gn+oEra6fPdP
zpD^4?!)d*HFSzHI-`7=oeNc}y{C($T_;1p1rEsZ6^}Q&z*k}2lI4z6%9OtgQeKZ6R
zjK`k;&*O`JIw$SqaU{?8e-G?vpdJnm41G>Pu+o_;#Z*P?*dVs`s|F3)mfKq#--)Bi
z%+EtySsB&`ODg@vX^5iVzmU5ifpy*y)uNfpoEj3k>?cIScH(ryUOOp7rN;i=UqQvn
zwF?$BNg4v18b)-oq_N6(VV~2eD#9uT{yFK>@W*i>W}loa9&np4)@!Qcz<+)f4(>EC
z(-!>p<;p>(TskN5fCfZIMOO?Z({OL_W7&!=3TWkfzV&#WCX)0f-Y<Ni!6q!3w?sh+
z2K${p-cr@ZTDEnu`|ar1kXc!|>aQ}$*+&JUu{to8&`Xf0rXwOxPqOp33OH{_aaIoK
zLib~Rd)_kFT7sS2@6A$ims!;2xk?|hf(fZrE0~D0Rz5AnsRk3*nLYOB4B)@WrMaz>
ziD#{4@$nROd|DjmxKd$=VY%m?q7BA)lK-iqM@<7!q^v6ajS+r4U?#@5m>~FzNvR%F
z6Q9h<@>5%v->F^cU&xFpl<q9rG+JqaO8f6g$rBpd1%f>cjLp$aE9%^Du8pVuqH}Zo
zG-y4PFMSqgfwYEkb2~L1=uUh&F*8AfobXK7(P2xdrsoR^&gkHcXnv&Sdm4O$x@R}L
zuEf0nt*`sDb@5?ZS+gvb21D@0^_E-X)P^=GJ4-#Nte*O8#Y@A8Pbconv!MPi&S~P7
z9wbH_3?qsS@%NTc)E6djJJYW8U8^2qHfh_KavLDxbBG<|6`;M-?0!<G9^TBWTwvqZ
z16}x|`0foh$g-&G+?%V1jQ=z)uY9Ksk)7+Ex+-iCzr}OIfz^88ce|#{3f9C>$e28*
zm@TTjHWo(}>0-6YcIwEK8hl$`3&*dqMUTY0O4=_SytJNTC?BK3e6{9D@4dG8-6=1T
z!KDM~#KFou86^a~^6tO7-xlvOw*34%t%c|^?vov-WU<)T{leA97T(#O+#4G;p&&2J
zUt%M<%n3@^Iul#CKM;LC6|aGpkGFqm3=)HR!5g)rc^k-lI-W+iQpZOlH}xbLL0kxO
zihf^ggRO;mteGKI<bSzll<vfX=f2D>9RW57-Q=&3l14@A`s=UQ0@xucr^Z>vZv&r-
z*Sk;Jso+wyTKbL3Io9bObu2srzRT^iZkSiZEB~?e=Uk^**S#dtUpWGb-4A|@C&|NW
zvAl`Bc#L&D=z~+m3l>V+4i-}(i&4uF)zcflu`;|~Wy<_r1rAXGxgcq2WHBbQc@_Iu
zoQVwiJfl_k+gX<pB(;3cYfWn2@n2Z(D&K9!mU)z>aaS#Nl{mJwob6ls@tJjUZRhLO
zdn<9<=I<}TR59%2c|9fA(asXG9pDiBW`(8U{5#14qR^ASaQ(}N&#daBs)xq)t&lY!
za-nOh5IlaCg{y^jv8a{nY7359qUuQ0Va9g>%qq&dtT5<dDYls;?W(tcsu*>@dmSG>
zKc|_e-sxkdupcSlR<J;jTc@ko01wnOLPl;!4YCGjZ@i8?Y>sUH@t<6F+_-1xz)Q;+
zW@T}f(2GBqA=c04Wc3$LsM~+$XqNoJ8WbLvN-;IVNW|j$i6<Q3*Y6SkR5;E`d(YfC
zcGDDf*;O|Ji`n6_!|s25RlitaS2?0f_)Q^{yy>6I=rZq3moi_LOtIo0@$YRpZi2Sr
zvp!2}*bsZXFOakLH>)g8)K7EF7;M*Xho?MTVr^as^H??Thh=lq*7NQzW9)J3Xh`5$
zV%dImoKlsWW3`{ERJZPDf+}v(H<7)_x)ixx%W}^=>xjz`ITXM|K(F+Vm<x+6udJ$l
zjV+5TV@d5}*M}Ks3{hHH{cMp{y#Cc=pT}$vTl_}%3SIW4-vUM7q?cG8FOJw$b8?{h
zgyS2{MLMGNiU)@amRNRykE>GlbHX>=HA^6cj>MD)tBvj0P<QOp^XLgKTvK$FkyNK+
z@K5wYM*|xUPTUqrIM0LF7l)7gRMODWvQ{Y|kR5+Mzf%3+z=yGv6GMw$G#uaVa7J32
z1Fe_GxvP`~AUu&Q;5281u%g)RR1QvLJoK39RTKnO{^G|!PDY@GR{9mrapKyhGtXDp
z3u9+85)yA2qG;@NPOca?R*wd0D7lD&?_%@QYwU)o@~F@F<;(-8H!FqQ&Wph`xc)-N
zegpKyiu10_;)V5SirmL<6tr{kp3xuH2i0+!60gjUCGLHS{o5sQCx4r4#(sUwFwZuM
zz7W8k$2Ht<W+Y)uyUp##xjf&rBGV;B5ZgT$+6MEa@#iT2{ND$9cwnI8)E6fVi30BK
z&;(hG$X9QoZqvh^lOdWOn?-Tj+?z8qQ6A!->ApQ$dYGdml{ZI=A!LRn6;PzO+@o}N
zU*Xk5QO<iI?|KT(jx)-boGOT%Q%&S$)5FG|I)P|y3G}jpjQ814@phnMosWbb^b)Nj
zp4^v2<5~JzsmrQZWiXP!bY9+PB7Mx*P8zqRj~4%1P(z|YYI@eP|8~~JL})I_pwO;C
z!Y+KdmvM0?m@4a|^p{hrZKoXQLN7ZVR%qcTgR1%Sl|I%#uP$kBQvfx!C1XpDHUh84
z{Z!2{z?nnBoqp3w$X06nmgK36i9dJT57rps>ba}VeOFW<<V!n!SU?|+>8ZDf6*SD;
z&){l#L4``#<_ldF23YJ|>iXD5!vL?{1?_oN_;zl&oW9(5%p};eTk7eU*lByrX_Y$a
z3w)FxN6_FEStWAt3j?l?TDfk;Y2dKu;Cf#ZI@X33{)mz_#`%yV&R5@QE_2k5vhouh
zfh+Qh4uqSa)}W*5w3If!X^MR8c4Hv?es$6Un;HB?xZN@~=^#A)pWEe!3<O^;<*T`8
zj)+;=0?8A)Xns2Je!OY9Z+pKPn)J7XznNvj?z7AKB`PXLFZWW)ua8EyMk{eA<L`}&
z2lSERs9Id=!+_SGA55MlYrKnSqde3%z>Q}w;wxX!vBvK7>%v+V1Qtq*JPHjk#!pnM
zkI>+zG)HMK1^#ZQyQVD|fT2+lR+eRiRoiHK&%$jma^Q)j8IK`6B6m_f_?LC>6?){Z
zZi|lcrQXv`25^&nd)r-67cRES0b3v2g6sYRodatOkUFFx^=wWPJB$h}48-m5P*b6g
zh}Xy28p*06LJjoP-5z%Cc5p5zH~5gChmw0`R|FDNkU|YxuM}#BJ!NZOSZ>k9-1GZ_
zeZz8)7M!Y*46;Mfn}`2XnbXG5CVk(NI+CFM5x?-=*$z4-l{VK;XknbIH)zjy5!^_V
z=WrIZ!>{)4ckBZin7(`0YPgyQ=8=JGjmvE@Z&Rq{j^%vTsrQ2a^#ZFyZx`c%mn{Yx
z3hHXEs-kOrcG@L(f;HBX^vQ7C22IgQQa;Q1Dr~8J{NUd<mZw^@WqE`RXy4UhD$0~_
zKz_@p)y)@#H}r4D@z~(ZGp9A19?9dZztD^3wqD{GOcf+k03k`U{={k-oM;~k{O0$a
z_;$@s-d+X}pU|ig=95AI#aXwK?-${=|IGht9a$Ji6O3>_C64dPi>qZ#rift9^@ErF
zS3$g@&4No`3>yW^-xh~X6CZdgcd?zZMr-()>&a5WFypAHmzbI+c3e1m|4iOW2##mp
zHnv>O?R+P<xC~7b77awK%U3J>OyPW|Pw?PLh)Fe;_c_FK-N{PY3Ibg$b^qJTzW08x
zz_M_Pko5E8klk#FMrrC;e;XTe9~pOFsGB6LpADY4bln15M~I+^s(IFnBT5d3D}E7)
z^)_$aznSBhvS`bx?X#?HlNJ3r4<-orNBI;s3v;BkN@wgjGtF|e&3$%RbDTK%VSIv>
zY6h}nEr*EOFBT{B((_``pTvIte$(0?reKy;Io<dC!D5kVCZFWK6Q5VcjM=R>#n|Ba
z;TWxNti$~N@8s8y5Y{K+QzMH^;CR~D)aO<otDB<n_EP>g;^A7}Y*S?uXnv*22zh*A
zg|TSch8%{7vv<wStdfmkN~z0~32J3Ub7gKB6&WO+N$`C2VK+w6F8Q-=e(zZ8e9l<t
ziwqE(N}uW;JjTRgTxQu{-IuHsi@R+b?D~lU>EcF@DF!_Mi_0l}TE=o+`PySgP9M>z
zL?0bo=3UIWbqxL8S*)JdC3`g;`-pNO+ee(!bSO2(a_{+fnXn9d(`ZcTBR<xLUQatt
zM@{au;g)9w#P2<SSQf&4gq+HYeaATH;E}#1#8zHKJbGxD!e`M(gjmfc-&pPug@JqO
zvW9Ajo8J<J%P;g1$}11@4J*>Hi+0!Quy_;ksK(<8A>B^|@T`hR@HN7@wZVnc3vY-j
z(-Mu*rhdY^V^;wy(GcaSid>(%TZmt3gnLxZ0I{?Den4Zn0lcj@OY<9lB;0*==2<@<
zB%%fa<2fhw5o!5>`&4`@aYR(?*3Q`>f+-O0(`=xRAFiK%h7YzA|3!$Fk-LY9>A<1A
zTp@bcXW+fD#;uc>;o@(5C@@MC3b5`Z7we+?$$i<{&M(AnTaHU21K)|J#*;}K*>&+W
zc}GsKZ4c3(doMih&rc$F?XwdMR~=m2E^zW+ZZGjm;JE5t^$DWLBBV|Ep*H06E~IUy
z^%K`FQ1hrEzX;ljm?U0KZ7399RxoWDAg;-o|D$wI68F{%p6c?~LRpQ<6aGs>gv|Df
zW5r?9M8Xqjq}OYLeo);tGIE$Gvi~GhVmd>NJF?r;>6)lYIC}qF+9=WYe9YZadzP3h
z&g#m)r2#hg^UksDKM37wFNwi*b3``Vh=a1Y271`?GHD*;goJcg$8hdEu~Ee1TuP!k
zdQ+lr?&1AKyuW&6hltA(@wn1XP?=vH+yX^^72+m|QvHd_0BLq|g)uArPof%T3U}=Y
z)tx33Wz;>cJ>eh&m@W;QB-F66N~tw+_BU~T<U)n)K`v5t^Nhl=ELCLe9Y`Uk{}9!G
z<)^I!c*x4ptfVGWRXmPveXXrNM|8GM)xAE;NB+}(w^-9c#iGs_Nj*PLoX_>P=NS|r
zd&{)0&mE$oB5c#`n~WvmwER_#Tc?D`0`oK%ni3TXcQx%qMcBzx0pqf}X`-aC)Y|Bc
zEh@OFzS(Usn}alx8|YGdDMsoWc_f`oRsru}gB$q=xX8T^3r!Wzh?80ea_W>lRbc)(
z@?!Q59<r}xGEg;Cl9U*odp@kM0;6r`RRa?F$P{X81ua>cG?j9%`XQ!*vW@$0ks|`+
znw`z60X?#0eyHQ<6FwD;jT_C*#R`!w9U1nY_bHGX0qylx5-PB4Ypimni;}fI+D&Q3
z%4C$V<`GkK6&#Dp&Qz!sBO5kXXDTXFNi)N&Z~u;|;DMAtR!^ijX)mufGf}5X#yM8n
zmUgP(Ab(zQn4cv1&Zn8yoT5&C3XOaey^9L(Hyn)@L#4@c(K02o5t^iz;9Tr}6;*s)
zy-znMUzRlQI^_8Hyf!&hWZim4Obz)i^v*jf3go1ksM@^>U6Sv2(x|(gI{4Gyj%Cy+
zkwRPZd~fp^ka3A#>N$i4`0wpjvwNjN1}FGMzu9X<b}5B~pSz%i)h6pF{nn|H5@Lt5
zCBD<h3%@zHD%9%WOpg>>)1Vr;7?$~XNSQ$j4n!YP_t(b?l{dAxph4CyQgfMWm}IYj
zMBn!?BW(NHFWS3Ci@daxHWR$fnDirFQi7xD5DqmHdb>i0d{5cOnYZ4AoKmjN`WVMV
zS(~l;LX$4ZdxPVh*a}n9;d?2YUV{ntQ12fRkJKj>^83Y7V@%1m4^lj_tIVO=UeKE?
zVMubim`}OgH6`;8-$={-VhO|j+Yaf+7?E|?j#S?CGbNi{Im2IEw1&<?$5fjajZ9YP
ztzCFxLKaDQ@-(RfUA8y6W8Tupq;%cNltg3l%!7noGod!vc3V)cRhmvVK1h66Jj)<=
zcCg$QvuttWE8R}skWM;yTor8OqLa4!DVwaa?ZCSsZpSBKI(gl2n|F1B0a-HT9(gpv
z9?oCaiCdM?$eJitGb>k{?7X`;;6-u3v9<R9e2r-2%+eu~o@_O;U!AcNdmWIU!WA#^
z!;tifT%Wq*v?4iwXN8x|X$Kq);9Iv*+kkw_yRk*WNrFt3>v<Qo%K@9^o{<jfdZg5M
z&$c5SyreI8$j=dZ2e@CN8Yxa{lb?lJSg$Tm5)tG}?N^WOVMO+9>$syy=I4jSE7rEL
z+~0(GhHKhGCFyF5&Kh+xN7y_u_WNJf{Hv&R-xNEX8Bl3Vo}!WiF29ZTf8;{RBWAki
zge@}PcoYqKDwC&#k35%Z5y1SO7L5}dY>_>7XkPTM9Jy2KrS^Xe5xDM%*{=W826@!q
z1)tia$XQQk9xoL!#P8eI=`LdfUaNb%8s;ga`Tnz(K`Io?R_9JWhy$cj!_t&L3zHvx
zGOlbarQr4M@THNzEDXm#NOIW3M-B&P7Bp~(<BQ@>@wS;&;JaTu{ck%5>9yrz;(94@
z*xMf{e89O1^P1gE>7~Df0^7~KZrtMdMzz@#rfdyYLZ4~7VS<>@iI~XirodS*%UOQ)
zN>D;e&V`3|6T8s#OeK$kq%Dnofl*dCb-*{Uzw<0h@aLlC`v?kzl`ST%sx7hSTHwh3
z{4UmX*Gbp6n<&^UmSGhwWQkYVXPTvYMp>_Wb5aj5D7eqRsJ0=%0w4V@WV=$PSa+k&
z2Ru`y;CFDWTX(fN-ZW3n_G-_v9IdYhUDlxBIsaaVL~U~{9JlX0*D%jgD4aQBVod=}
zy<Pibx*5icxLx<guwjpLYMJ^z3L3hEI5rEKq2{h(<@8Yw3`7V@MCVgr9sc-UW4tLY
zW-Vl_U&n>BCd{`o!s0MK@Bf`m&=kV|g|B7`@L;zOVH_JPj@n{Xmx0SBn6-W_UQx`8
z!zYyFEF>fl9o{m3K+^;_mAG#2-OP{F4O4d4DkadZbn13Vr7_Z5ZE}nz1>izRd(NMd
z#5{LfV5he+-p{7%L?;V^%c=Hj@ir+$t(s~QTh2ec>_IDhXu^nk$^K5-QyS}<H-~3E
zUiJYa-xcm%A`oA}UKkoEgI-0spWpnL2zeQ|wC<HCw$y(s5WFUfsZzJO4N6RS@7a_Q
z_f!nuFZ~Qv@0UYAS8t<FKLd;~Df9F!3XJ2@GrOD>5F}9Dbnhtxb5Bx5q;8AD>#(mB
zvq=%RqR%{NKgWRiBmdmPITB!d&FwR`OBt<hmjs>%F;L7adwaG{67Q~E6}3-M!EWnv
zc1>>viq2m%D438!U)zyS{Ku#$UD;40vYCOroP%X2^<{AOOyR6Zuqqs#l24!7#z1>=
z!|S=@vT(k2{pFfqHH;=l@LWF3z(K#FgrlG3U|OfU&-ti2H0T3?$8Rv;n^n30#~KB2
zq}@NKa83gsMBE7fkIVh+tYpm4Yel?W6+m^lt%(B`2OG{T>+q$6sdU&+8I<qWeixQ$
zp^fWSkU#_zmgiUO7Kl;7oW8Q<sTOTm7JRb(_mheBQBKLtTdCM8z#Nw7*MY|&-tV--
z#%P^qx+E_1{M3A1z2Jy0{56eKEGQ;u{~Nn=x0D)Q-_vff{-TGZ)Lo+%b<6%drsF31
zM-A0$Wk+9^>Ld5bk;RrIQ_Nl|;37Y%L+0z<Nv|*ie0Kb5I2&k&*nfF{t)6Hgy!k&L
z3qC_QfAntb@-m0ek?gHsqBP-jFKMtT$Pfyg0)_9qEb#iNc<%q~v>>5ox${THa*m{Y
zY%|?$39+{QJ`OWlDD~7DK78H~Y#F(YvEf!Y7dCQm&qZxikLC!}t~7*l>DbTBX)6&L
zY};HRr2`Z7Sf=$O16a&kNngKbjeD6-E36`PAYA@csis9AYCmE>x8$wDJ;#sf+esbN
z7LW$BrFs~W*by1<fQ8?MjP*V}I*8L6Qrxyf7i!f8eW&b!-!T)}n>uvx;i~FMYL_<b
z%`?IC0N`r%JQMm@2k-SK8VYr_@P7aR0RR6Cmxn*rZ4}1s$liPJ$9f)n|1P5~m9$A&
z8EGhF6iHGMg(NaEl8CZPJ-^;)XsLuUO9<I}<@FDo&wb8)&UJk+)}fTFnK{70Fx69d
zzd9}+Ubmp?q>RYkn)M~dR`}fDTtNO*!^85Mkv?Y?p|_4_c(aEUZXewc%(Foaqi!rg
zzG?En(E7J|=d4g!`6E3pP8F=wfyV_=ve;@HKDGU#6%yZ6{fMhk!RuFi^7MI0EPB41
z3<|M=?D6Q3-=CCW^g`VI#XT|1SG#|&b+Lj&1z&OTHzkB>-e6)+7se0cC>=f{D|D>q
zaOZ1O#DcoHSag>F1Uht5E;Cs{=G|6KjyeToJ^h`+8N`Q*-7HJCb%02@v65w_JjxFq
zsEdEig@gsy#`WibdZASF?m{`-IH#iVdjki4+W+0|r3=vhsz0M_kwu^z@6fU*8}`hz
zQB&#&^xtd|?R1caA+PU;yW%V$dw7S6WC%obDDC-jQWEYKUFwe<m=IoABIglc3FB_3
z<*o<fFmF9&tj@v+o~gFbyA2l5IQe&5GqV`%*$zeilVw0fV6%CTtOefrHjbr)ilA03
zG{lp(LI^TQq;Cr}$FHLz6Q)AK=ys_ZkAC@&Xwhg$e)G``t>5oWs(%zjhx|G2#;$)v
z#d7!Pw7MCh)LcVt?+d^yRDQ<ae}&kfliT1BV+ww%<A&v2ew><=RWmbSz=ZyQkMW=h
zq!!M82_X5vknTLu)Xo5O4O9EKnc!;w&J9}Ayf99Q&9y3I#D9G{-{WeGA+8>DWn(T6
z=00Q@&fH>x*u1X!HdSK;s-GOmzRHbkQ(@POdCb_DviNR&su2#AnWo<?;6hDA+t~RJ
zEKsg#<B8=p!kzM7j-)wGRH-%iALeDl1G|R~23HI*_O~OC63mI7#GQVJeAb{{@c8?E
z9EPxn?9!G}<HYsTXL7wd*>O^tb-Q4k0sN-b_jxjNV#TrQ<-G4&tQ?}&g$o;i;ZEYN
z%^aNYx%<smNQetpNBxffcUK?tl~d1m7;{2DOC?yfl^Yr3N&2h?`gk1kz-31~C%$;z
zr>@lS!ieopWAJ-D)JhI%`fzh0cX!Ohj}AUWdfTWU@YaJE*+Q~E<^o5y_Ny<W{0KN!
zQ98n@hlppfmwLju@ycySlcta$WG;=2UM$yz-Dk@4Sw9|-W+%L0Cj@G(t!{*yE?UXi
ztrsuyBD{bn=2)sQ#$t8%+llMqYl>Vgiz^=%<&>qwmqj40^QX<HnTGJOIWZ|=e)#a$
zC*L|FhPG&j*5he3>}Ic73~uMgY}P`A4z~nSCQfc;^`_x*m3eP=wE&1G<vxo~CGkKt
zWYaJ~!<wtSA&P~9P(0sy^4CRa@PG1UVUed{__gAi#79EdP_gxEn6E5UWcjMBxM@)H
z=sFbfNf_*<$GgKS<<K|PGyRm6h8dHgx4tZ*DBY5JVx>+Vp)B&&`J6P2^qE|)-Yy3J
zBDQ~Iw*pRi#QN-zqk(76r8&J^9Q0pS_8-}mz_8ZeM136%<2`Nfc&L)li5r+KGE;{A
zk$WFYLTRYrEmC^;pA@R{ZhjzwRG{b>)fZ4t!=)FCj|+We;7w5!D6CdRmQ}JLuaYh(
zU#@h06_Ud(54Rh-OKP~Ke&8QtsxBn`4ji{%mILEtQ-!((1qn>b^QFpqSQ_^({xK|%
zV!M=Q-vTsXa_X%R@lFqy$1^5Vek-7$v1;5qQxh5nd@qh((TDzh^DMb8MeKB4aprlf
zg-D+79>?7baN5u?`P>gBwBFh6^)FW&of;K)>UJ5TlW9yy`KvN6FteYoJEnsOMiv8>
zLq-Vd%{Vtvrvl+;x#T-0D!6><mny=I(YI1_$^3yT%9_XhMs%pSe!2Fj_9GK~nsKlj
zh){!xTW7k5DHVxUT<jM{P2nd$*>Dr;s29#sPL!cS@Y)Z_Yx?H+R_e$4`L{aaYWD>(
zmFwW4afXptum$QaJQCgIMS+*93K`s@jdE=tN%;y()ZYEz;QWe$x{Ad#!~0s;!~XE|
zrfvdEQ}?yT7AWuzOr5UL)<k-*5R+ywu>SdLH43u^RG&F?Z8%B6jO>#ezs3R8{a#Wb
z9TXf^o`2wfRt-FcdwUi4SmD|AUhOxRDNt3<=CE^BfoFrG<=uQMP@0Cv&vQ^<%4SCH
zq$=U%XJ<anE-U!|vAlZOMI9Q#0)-pq<Y75)X(hm5jby|AVvYng?7yvKwU8(ayG;=*
zZfmWvm8-l=FH03XU%T!%dP?HG)ktf^iWT;5d5|-jtb)`2a~aLyqEHDI>$>vO3cpjd
z=c0p@L0xb2Zgf--&YDZSTxC|!^8Xv|utf<$$wooU|M8*4Rk{6HpcSmMI0gJg6%lph
z%fQ<iPK+u@5AD&h0yi&H)Qz9=7$7MgG?O(5O3QEY?gBbRUiZIzD2IF5RfQ?G%%~Rq
zq-%8<Fy^XWp|i;%^=5q3V=e~RxhhfGw1Ld00?GgCr4aWa=sW}SB9YkfUo$<2fZMH2
z)Tt~9bl)lp{3Ab0sIWz(ZSJ?kuZEn+-ZU{-E?w=+**-;d(p965QY;~+)=a#w5kc77
ztV2h9CWwm@@ijHaEFd72bUu7Z2u109ESK!YiGawi>-#Ir@$vk<z%F+|czTl}ZY^U(
zC41<w+=>})IG!?OoaD!ztD8m#N5+Ujk<43Zc4nv-50BWJ&xaJ-j;o(S#)%;F`B{|=
zQ;gIcn0>m)gZAMJ-m{()M1N~!!@{Hqt}lJu?K;MV{rA?%jATs`=VMo74eU*@a|_>1
zUsX<6+^CyAA~j7&?l|}LSCKK8C68+EyTgIlujf4|A7==qAny@YK4T<ojSP*qXUESy
zKT{<i&JhWXnohTaj8OfMwK>pe4W4rAXa!U*5KnKP+Lqd52wAnLE6I**psgQV3FuiO
zHZ&C%FYYwN&zO6^bMCT&N6KVKLT`n5(&+vA=^F#&KWq?4lVJtJJ@UcvFAPvTYH_pK
z$^h$#m5=m#7BH#bV16mZgwDjAB0IW1@^Xff?<cds<I~c_>0o9YI?+0>V5N`qbu^g`
zu`F1*7Nt2fzyiL!Gofy;^{~jjt+4wZ3wk~ps81eeLwTpen6!f)EO-xAiuJSLc3xU;
zIX63W%=FW|e(K_c@)h5qjjU+dS$ZwMo&)xebmb2R=;EzQnP%~OR#>n%j9k3Ui9`2Z
z#cJ{B!vDaF5O#ky4DxND*vE5&<z@QW<p(q*pWb$0(Rd98_t}W)-s45kPL){BZ8RvU
zxbJI{XGeNMZf3&-A8x$c-k&i`McVTN$~sycND0cZWl|MD&62JzcRm$2dg5P=9axJe
zF@v8)`~~rPE+@ZsKNazg%N8~zoXDFV6Bzs^gbqR52o(`3T*_136V$k&_2gmIVMh@(
zx@>SQd!&Q2zmsZ0-|}F`y$h@dM@2!OXnC@@UI(=a1J1*n_#m_0AhEbW9HMPD8pXrf
zaJS>S_sy0ct?6Ut%jYFA@=f?`+&yi`yIH=xuv-9O?q3eR43ox`@~}Wbpf)z~@d|N9
z2;%3qnGMRfWs&!5{T)YVZDhqAIT`w&5a{`yKYfPf5Li;jZgEf>!zacHnq)-4BfL--
zAgchE&1s#7!?Yol`k-MZSrlKFYPYnwD&o}P=S)&hwNboZ?%p*uaqxaiCyOhUU>~mN
zEFq(V<B#foFE>lz{-M%s$HZ0eRfXr;zWX}R3pZA_%$CBsS87eQF{<!zt$c8qN`=#}
zuI}g2GT;k{7$X?fv8mx~$md)t+&?KS$k@n1PR8!qsdE%`NnXw?)}!It%cVyj?B&sG
ze`ovI1r2zq{q0fiqG8h4`D>HA0&YYXZDT*C1&+Gr?70G6%w3W__AgQq2Pgb5=rn3W
zv%~0-*9|=sZMJhdn6HE!ozrUIq#}|vI)foyAH~mIZHRZu2rZ+@CfufCbJOM4t@Q?Y
z-2PihbXWzx;hxC}yfi!!rtZ4MWrRe>*Cm(O)G#^h{U+LthNd@TE*Zy+aXZYv@fg24
z1fFtLwZ_xH+Q+`jrOyOeH=n0*uA$&Z?7jB5Yc!;d40|*AnPEwgai3{71%CE=LcjOZ
zuyS`wqkrBU?V+BNuah;f-)YnNf$`P-8#~)S7-<P{M*jHka+(-uG2mj`NyQ7Vw<G;a
z1j?gLnhu3(!b|7^t%^Yhp3Py?`VWCk`=sNqXK8{>?s3k$WldE2{Mu%-#R|l^sPxTo
znuu2PDNHJ&Kq0QBx2thAztq{ka)TxehYWfi%Bi91&>II&GizkN_I%OwL<0ld%wpju
zlu>1+w=X%y8saH>l@C`aaI$9EyT42USHot`lvG*6@8$dWKY|qS7uem{x*`i@?diJX
zZ><q{U|E6npBjD-UL6hiB7tOsZGJ6uYb3<-oXM<Lg_qUoHWvmFxSeV-@491+E2ULj
zfBjXkx5+T~Toylq#0OqW9<j!p;<IoI9%W=je_bw&<b)F;(da5`jc*eSJ8xwwLO^xw
zru`Qd96ou6cDBI^TQ4)Mo`C{{cp|tKoc<9HZkaOu^|gXrhtDtW7jk$K?U~FhGEFEI
zc(wh<W(5_SZ<L)+WU%3j(|5n^Lxk{zYEJSUKx@Hky)BOvM43BlqONukmCs+zuF4YD
z3;8qt7bT7e$71bsG4F}6rF|N+aRdr?C&!g3h$5oijeBKJCh?N*WNd!5C5&4A{5K5=
z;o$JF&)xEBI%h?pXLg?jNJSk^vu*(lt`oV!L)O!~=m`r9;uesx<9BCc;s<N#G34BQ
zOHUAt`EYW(Ii$pr?3}WAAYHg|8!Pi$y6V|PpY3sG2s)4w*L#B#?z=(^AN{MNx8L75
zOnx$jR)EawwXN*9P2c8~P*zJXIl>V1Lev!3vi#N`@nwUGC$Go*`Fy%~d5yTShY1Y%
z3dO`XvY@@S<lrIAY@%iJ)5)bOV<<KDyDfV$fmh~E_tVnnM3e4S;wP^$I@z9OcE4f3
z?*>NSFtK+;N>4F&`B5WSQ-7Lmtp7(C=k+tH7JMaAR6K0geKf@3vvLjPu1my=(ionA
zq3^_3zd`pS`i7vIMcl7Cv_O0r_YTcb>LxOOd=DPWFaUo|)35uLa|E|q1xJ{358<W8
z81jVM0IkbmN|{cxM48<5<hjf~B3I$~?wkmH{I$Btbz;j5VIObTwJ<b5+&_QuN9?Q~
zE^T(Td>%GUy!2KS7+p6^xJ1XDaq`z&&FizxlY>))kb`c2$KEkwZ?A*U;+QU?S{-i?
z*QW@TLmTE#N=y)kN5`5SPw7HF|6j#5-zlPwCG*S3;3QFxN`ZazG<fh`&%PKqMNlY@
z7H2<96a5@p%oZYP;D3thppq$qDe&q0xYx6U^7-;9Ej}7HcOKSp5t=3z@^pjQ+UE)C
zBSEv_EGitZL+e}4G!Z8Cn3I!li4aTwo~v&_MgL-9%v$FeqP&|@kmB`^n0D)p<hZQ^
z>E8B3FNj%U)bglhcmM<J?U=ReSM`rQVNK-*yE($c;KI?skBnH~pm?#AM;j@}7KKk;
zm?tX2*r$!HnQ>)k+qt2gS}@!z<9VlVfjIG<vV*ya1;tCJALp#<h=Ih;`ny3(MC!I-
zr7f4(VC(U=P-I#I5>eHsyN&-5Yc=PRU%IeEaTix!(hdzM$KG?iEy94LJCZJk53hwP
z$I{OWl@u`jlZ#u?U_`=a28)9UT%aBIN^)1C;JB;Rn(GIdFq$uIWH!!&;&9^1w={LI
z@n^p~U&@TDuW#HqRL6%kd#*o7l~#uf@1pGnC02-D^4PJWC4hHh9)1~xYUp1O*_B$$
z2BIfTPrh0ZOkWCjGux`+;eWStPKL3gbl%W0#zPqIH;0xf45>o!Y-kb3k+leMT=~Op
zB8qPv;&Ex&s+gh=j5ddJ;oY<EI$;Ll$ZugBck))n#|@Qdq8fOxj<P4d*jW<k9}>eJ
z+o~e!Qt*M(d3?CLHOB<y(g<A3%IILI3dNti2BAy>khR>MQ!g!t5GlDXZ!1->-Q5zk
z^PC`bTwO-XL*()A*nYo~)%p?o$<8AZ!g$sn>T+&e0e`q(*&QuY#qN9OnxuY+z)8JT
zTq{xuHp^x6F^X!qp?7up^fNK!D0p-UX{tcGXs_fAx*AII*ZtIfB>|0BlW9rAs`&Y=
zRk$Kf9sQmMCuXOlAo=Tr-G`UzctXC^DM_N>X~J^d(@nBqFnup;U#Nli*Q&PMZ(IFe
zQ~j*cpK^F>RNqp4TMKU-kIm0{YvJ&ajp=h81?=lC$#jp^fn2fEm*=ZIlT=-GWHD9|
z&u^E{vpk{Vfw+vaRxK5i^cQ`5XO!R^&(-`gd({W`h9)&L>LP$Uf}VUt1+y35+#Nc-
z%5#^}|J)4FLta{;f>@g>!ZJ8N<f-ey{dkVz9}xr8zFb$|v`HP6c7u;3EA-%1@;PDn
zmmy>%zDL+USoPE0ncLTL>BDL!&9MKgG0OTxyQ^3C)V<A(CtXn=)n^2y8@f#~t*)lF
zK}HJ)7JIj!pU?xt3yDXv%jO6U+IhNITpM8xcGt95b)h^mJ=0!%HIJl!SO3zk4J+QE
zlLA?~__}PK^Y}V&iYItH$5{ti`-7Y>oui?Mh3Sc2loj@G%=ceT)Ir=0>J)^jaMKOA
z&v0PX*8&TCgF<w`pL1&?_b*LMuiP@C^4K6lyl|9_R|kuq&zv~8P95wL-xo$wY_RE?
z-mlF&wNdtVoA+{vGR{?>X%d*WfpAIP%o#f^NR))HJya-<y>z{pZOXQ|=%3{9mq`=f
z*7=sojY+~GsVtCH!xjOj%Qt(Ur{LD{i9%&oVTjx(Y@e>RMQgKDu0fL;BnmQKjGyO5
zvf0`7?hQ6@K1Dg9#;yvfc0-?C;Y_&QxK}0Zgbj{}j&E;NSH|U!ugPEf69ki*%!LVN
z8zej`ajmyiL;;^6zZpwCQ5VeJeBz2Vd?T9DsBZEw6<EsT{?S9<oJaj`$zhG?ck`2c
zlCqGhJlkvkY?A)#8281f)wyNevB{oIlElA-z#Z4s7U>>8KN<O~02=$-nHem_koS7q
znzid0$XchX3A8Z4iACRcL`oQ^LT?RSmuDhh=+;|T%n>NnX-t1(AOO*V)Zz6zn8`-*
zkI|`&1Q`Et{=P26i^SsbAnrwGa^**9!GfSAxW$AQv-Q`)$Z>z*OM-<o%6S^DK()Yy
zgx-LHH>{Y*k=<@##zLlzYTAtLGDk{91N`1Gf*Ps8lE}hBhTrBBWV&dEKhIka1{_@?
zm|C2sZarisS>2E8eXTV`+t%4Nub5_ts^{!Bz8jgzFPc_!jY}p__&gT7XVVzrOu3M=
z*ug|DXUCoLvNb_az}4r`2m6TW#9+Z&XPC&$3+?qhiN=_=d71m)wI9S<Z6e4+mWlK*
zcf7mqj}aWtjvtPFR7dO!<YIW=!bk=SQf%(n7=cnKed%d@DZQ~ym+M;|Bk88sTU(xM
z2#>WYt{jS==~8m<^+RJB$sV>bClgLXG|=0&hP1cS)u^Ay;W$RJDaP$;Z=eBsRz#{)
z{_CL|$KD%y^I)~kF_wt%etpoX(I<E1{h>cd84j@RXC#G>5X&u2`fx2b+OwoJOn>`c
zsBfPY6Dg8-M(1s_9^%XnwAxmW(L<fKz36$uM7|cXd||Ll501qs@1;-BbvKp#taM~1
z<)u|M*;{p?oRGdXwsMM|f1zZcl9z>yv0mJ$>!J&@cm+`+cZQx~+F086mxatx5|S+*
zq@gn6ol9WC96jTC$>D%uRx&<rdi+cX4TqDP9rYp?=sT5+y59(_A=kSTv3GcA=(>3{
zNhD&4ZsXB1eDNSVDK;_vnsSc{X@y-g0SW);b@~&BZ+_t*J$^dxGO?wiu!}pV+KGW&
z`>n7@>m(<6$Jac%<(&>hp0u?^My$@g{btQOb8fOs^l3_$m=5@oeoe$zGLikKn3XM!
zdCA^3=FXMl+EC9uCD_c!LWZ0+eY35MkNo>`wzA=~7WT&aggbb!l9yOSoeF#TNv<oM
zUQ?D@;Osb1!uy+zRH>15W;PHcE!3Kh@2%FvpQ*E|l=JLl?z*)-b~!?1>fL7<E0&rV
zQutH*l~_wsKTIaZ>xz*3*vn;An>5g%y)^2m$VCp{F)i%=ElSSBWbfS=tO2`Wf!~}u
zJY-kpUm3?*aq{gXisY#pu>WyKQ(updls=j^Fz`f@eBW|=k-k8IzQ4oxNl$+A?#z0g
zfM3#NS6)_eOdADKv#F039t)7Rzk<UoB;-h8Z|>$*q(-`7=#Fp+A=0?>ObyFEc~bDn
z*f-@N3O+@$Zb{7$CPxos6qCgYWZQU9NQ;~XE(^TcUjtFH_*RQDMNEl&My}Ng4bcF*
z$KXdkCUG+5*tNI&Qk2PpmIFq`OB(R~R}*u(M}n-G$b6lmu1ao?|8Xp=NE60BZXb+$
zrAYm)z26kytC2E3%1wLXwQ%b|uOaIiS(0n5$-|it3VA`MqyKNAHu5w0tQ&LW$Xi8&
zZ^EgXWb;<-zB5cz#FjF<@BboC&IUYmaPQS3Z>}d9eLquCwcG#8dTvE>ILUR(h6EjQ
z$5>fRVI2)0#4gPa>`)><xDQHxy+I}S-<D^c>d?iFuRe<T>B{8I-~APTx6sIJeutf$
zGWr;-G4N~rqe3RdsrBa$(a3N<TZ27O1}LrGk(otRBkxRxI0bp@lC(cvCxdv5;KwM}
zpzEhjc1VYoU$50A7k?+2{95JnqG<VR**7WVtmLkBe(k#C-Cl-{+rg$7>!BSbay3XE
z83Fsm7rJDgq)@f!W^-s1tRI+&)g(=w`xZkzb;*Ryqt1TPmXJ!}X)NEMMQXgr3_tpY
zMix;i2S4=^$aJYrQ-8nO|Mp!Mwf|7b+Q+*U3>tv;`-1Wt1+~cp#?Gx{NjhYuZ~2f-
zoE2Dyom1yUwaL93TejAZYLeCI8-)A}tg%yi|JL*tEi$~Z?%Invby9SvqpI^WYh3+J
z@80R4MKUgK{TlvWh2(86xp-aP2Ek9PnZ>Val6z@tNoAK6$q^s<+4Ms;i2ADWA?lI_
z*{L^s$Jt(v6uW-jRV~y8d&McaF54(%{wWKk>pl`>n23>H*(n=vMtRAy{#7F*8!@$~
zK#1fuw`f<iw?RK+_WiOWs-))CgvN|P9`fngS_kmjASQLDuJgSz`N~2m)a4B;d1ff1
zQ>E4#%QTa_H<gvh^X#2|pT-vHx8#cbe(bYGcUct&f2abPy}d`yvvrtGF{(T<{MQPH
z4etBy{kHnPXvP(W)1T>or1+)mgRL;QaOo2fC_@UlaT*Uk{6v^IWtC8wtnipp%y-O9
zlI*+m;_i{G-voC-!WiEbVBvVddyNn=@?pm3x$wzhLcuzi;iUlJqqRkGiY`oQvOj32
zm`o7TS&l<uW(1x-KU^tcEJ*eq`%9E;pCSS~yqqI;TcTU4=%@T|KGJ9Tw4uyu9!j5%
z-Te5B1tdJ8KP$v=lZ!h#`$k8niE6$P1Ess>@CY^8lu*n;+Obh01inubZ<JgQPkb>$
z-sSVdSM=FPT_xUE2F}yOb+whme{0RKOXlI|XHjPI=8^k3htj49b@ih<Yc`wWJI4q1
z?K>DqYmRy2qM}J+rL%@!6>oybaC6<h@<saD{FrFYya^&)X>><<n=y>Hwv6@couxnj
z{^A>N(l`-Vq5nQh%NU982jp1KPtsXl)`w+X93#G`B<@wdXavcSGjl9*V{}`YubS4Z
zql9R2DLMAj5dVoqy6tcnq+jb$Il-<tOmG`)K2l?2h>ej_TA$>4>3cIXxs&~d2ph&N
zhb#&WR&_N`l0CVbUhbW_zH@MZ&`}y-wiY%3MYCGZP5(Rn!`1K87c>447S7q`iBbCa
zPiE2Ol<60`gl9(9$t(RtXROf^ra3(%-FSS0MehxL@}3I0p`?%4Bp{)5<oIgdJfNSk
z@68iBE9L&gH?BTnx32I0v_V~HW>4094$GjApJBM{cDI+{yK&;fS#Mn!msZmzX6_Q>
zx3p6ykM$A(9`+-nLo}r8u2Hb+sV44UIqwsEvX>YbVW|0bk_PwdgUeC@FNq12Z%-NT
z_Yx&1dUpvgQgPd8YdzEOTjEl`t>9OoK0+?Tt?}k1DmLwkEAv_SM7(PKv=Ck1N7y!q
zb=!ziVaXZuDYfGZ@uf!hjdV;uk$hP)iq}yGjCIku7J1)@&4kQ$o`gRHt@JUG5w4BH
zMN;uGhgyku72FRUJ`4~lo7vd-9%-RxO)JJF+K9=U8WN|hh6w%Pzxg(QG*QY%-$m`}
zASO-1@5GP%B@8d*krK+Q{5st!QGKABsLGDo;oUMqw4Hw28+=3qZCY-^&zgS{UL`v_
zD#FJI79W|`jU^O#`#VIO@aQ2#Wrg=2s2C?Wm_C2^Us6X++x+V!u3kb~?7}@E-btce
zCttMRULF4f009603|DtJ)qfPW_qz6sYj5{ndwvh1l#-H)hNzTO^edDoQd9^<5mJea
zA{im>p=1;hvdSuD7P5(-e?QOroaa5y`MmEr?_<APO$*IGiRsLji^aER2sy7>ox}`P
zc(4Ae{AS58@nZiLrZAH^;s-NhcL=j87zU{w@v0dm9+dbeQ-v0YV!x*)509#VkM`D!
z%WLDrNehJ|(=toM51{}-K)%1OoeLk80k$Sq&3peLRww2yFCSVVypp~-CmJh5p`mXv
za842bMAXK~-&TnOU!{1Ha+JXN$j;HEz-gjKjYZY1i2))sb+u#^l;GXSpPh1~8KOIR
z?~!vmnP9K$F4C?vMJPCQsJWzZmf$0g2Ao-C2AAs@9+wmp!FV4j;7QRuu^e#hh|?EV
z2-SRaU?Num)ER!V-)dYW!XkWIqk7pvS^ae}$y@=Nb~r^}ms}y(BBk|bq_`l;$M~pk
zn>=hheqTZD@hYKO>@o5A4iDtMtJqikpFI3r=q<M?Vu0(1#+S#o@`JHqrpGHOc}R}-
z99K7I0_(c131&(pm|vSY>)l9(4822lkBl=z@r8vt;SYkaGMw%scascuUK$MF-?PH(
zO2J2-2f}d5<N1iwE;2-TJ@X%KW{33R<?@01q9F6}Xzh1(GVlfI(>VFp`F(P}c(zU)
zcE4fT%q>KQa{cS_s@Hh{cl9~vXi0(RZNm8q9~oW?E!v$i<%fUC&&NGK%7AnYyUA5K
zGKlH5j>}1sAb8(0kD`+t<V-EQ&e@aUkNCv2V7VZO+eV0(43dHS=jYRY_sI}EeeR^=
zRbe<cSl940RskIOW?!A<kcTr|DmNp}i^4B|y-O?ZO3-<yL)H3;JcQe*?bWy|4)e8Z
zebc*D;6;|Og0YVRZ03`cv>lLy$C*?imJ@2gJN-cUslOt0&z&M$9h8AK<1>Gl6E$E#
zeBfq7wG!-L-(~!fRSxb=^XDh`YeB=iecy{+Re&DSoM?2843)K=so$h1Fq-(E%cQ*;
ztX5F&iY>}R-+XZ31v@HK*oY2}rD=eDgjdK+tRg&KxH5armj*&D*St&*YeRsurPi2<
zGHml5NSnE#3zMm`mtQqdKwRbl+ri%|pb*2t@$I@EYzS}RC{Cln%cm;zqI5NIBZ+A<
zy6D5hLz`~Rztn^D#BgsTCk@c^NUMMTS0DDiI>4c@WB?(fj1pW^n!pq0^C8RH0LtCB
zi|q0-hOUBsFRxSDFm5B=P-L=>yS(zkm(2|H|3>`>WjYW)O7rvos1H|ae@QE4S%71r
z)sa;X3haDKj!c-+gYv6f);4JX4MjezLvJaN;$HGHGfNlduJG7Qby~viGU*`yISRbr
z=2(7wg$m{e%mVnPtiY<;bCdWy1**D>bzlG0fi>Y%t>?a4gS(`fRN#7@j32&v0%tYg
zBHJ6$udy59Q2gg7ORnqn(_(aIvXx<tbSis=+Xj@~KOZ&^*MUNVAS!z&87}G#_wsJB
z0oAOSs<bsNDEw)BvG9N-+<)WW9^qgEU2}Oo2|Ai^T_V3)yo3ayDId>nQLurY_|W-g
z6?G_jUShjvju|vGB^`G+ZG`ff)L~py0hU;9dpI*nBwLmzgt%-3rsd5S?2473ESprE
zqdrLY<~N>oZLx-IqZ4UwycJ;JmIG71)H0p+``Gz?rq=MiG~Zo+T{n%Xzb#agSn#+i
zYrye`RxooK<6@^}fLplY`sr~_%=$0rcMFphc&E4JEWee2FL5sn0_%9O{zBB5T_-Fd
zvCHkrpH>lI+feyj(pUhK7ffF7YX>-KLt_Y56NKD>RPEcsBrIC)PujE@;JI|Z_<<N+
zSReEI(Kr&;cx8tAUnAgy#*b)^!|V{?y?XrSM-n=U2X20F!vfem#$)*2GD6cf``@kY
zBz&s7U>%ff4#L%^N!AA!35mDUGl6sx&UO^=SyY$-JIOc7*kqFUTpy!9l|aI6^!|?K
zQByF!>CYq2(@(T(o}X+xMnaKsui6cYrjT}WRm}6+QzE1MXPvJh2|sbPYRVipfrkGI
z*$gr}=r;Q|tEusm@W-_z<?bS5C@ei{=9>PCzGxeo-#RUThkS#oLV1kgby=;)Tlpz^
z`t#%uLO%ttAUpQ!k&{Nic4z2x;N&cQ`&I$|2V(+Q<YX1{yTuT~&Y4XsIV{mlS*+tc
zSV<@!1K)B8Ll|az?6BK$m0ok6|6{Kn33u;u%Gy|H00vUeW>r`iarE1;w^SerU7Tiv
zFX$LRy<oEpM>P{#7%azr?<C<_{jXl+m-?X1>To^t1Pl85^aQtU7sL#P)4x=V^&w!v
z^gsh68)n|l?)Ld6h@q#8cHXMh10J{jqnR=6Shy?NLi?H!4tjGBx$f5kN_ElrUnx$s
ze%n|QY%7cwySf$2=XHV2?g;PXGcLSXzf|&tEQ0oiGfh2-x)8IyH|4Au4+`ln*X4<c
z;(R+*mC0Hc#09i<X1aNCE@;dsLRAc<_HNG!`%8nCgw<#FBlwY1$NF=hlQ=$nw4J3f
zhX(cM8zUa13m{9A#64<?1nztsx_O^B4c>%{N9n|n@Y%GW>nNiXE)|qJSLoBA;d~eK
ziwHqPx5ZW0tI~KaQqeY@g9g$D|Jf$p7Q&y(^((pL4Olx(uWlKlLY!h%?5+%9v{{uI
zdizxtr<5;iDl}0cUtC|G)Fgtg8gcq!-Ex@!2_dGM3cFxW*jIKj)R|0f4QVCg>Z_-$
z8t<r}$(v*svCiAnHaxe#OCIA-OFr1pMun~*m7u4E5{NI(iVKb_V9cuP<=nqi@a4G7
zdtOxvIRt%bgE*8>K_|9CMRC2aEz+r9@}x0)yTQPUrZTFAMR`sfqrro+J+^vVHsFs(
z!_HOCDyYfsnY*uo1`d%b@h9hGu`Fe7*gRAfD;>MLU#sduQk;OXOP3tBi~JEG<*4Ct
zr}US)*}6~`y#K6qB^loZu+7eXP)CJv@4LlTdJxDKnhVe5@dRgATV<~X=ALm%ZJpMG
zhLZ=HRpS-#mt8RR;8#ujX?jE@txO+=&b)4M3{}LhoMx*`6<X+J7^i(Z(EwWd^`1w1
zE1?$UA>XzDZKN)V(Y8h#f;v~AnCcE?{IKS=ErnGF<++2+?j#t&hj+De%c?4P&QeVB
z>V6&U+xJ;UF3%Xg-wF%8JgtJdRjR%l&+Fjg-tfowT1|j$Pmk4DrYbrx=fq#I)4@Ae
zhRg4)n!?aOX;IIOYWPwt|6pF5HhNQjBvh-J!zYH?L94fF_>{j{aaC9wU&@bek>73s
zo+T5V26F1yeU_i)3bz*8H|oppIYNNf<9?5fJ?eP-)RI~38x8z@w%Y#|4Zuo=JF4%P
zI$kvPUaZ$qM=k@;tWW6x1um!N9qiTdy+>R^))`ggJa9Nqn9UOQsl6v<v8$tPn&OrD
z2xVMO*!@Sz$r8HqUX}b#RKwe6g(XLCDB`7rn+Xr2EJ4aZi}^IG8d?b)SJV!X$6te|
z*H&Iy0$0Em!IW*PXkGDnaN?32p4jxuBd%&4Umbk>m!Asq%88DQ3CZAJw!3rxRan9Y
zwud#|*OjsR2}7#PF$p|O%TRR4v;>LWB%jg{C8XF$XKFKwqLgomnOTS>oIWHt5`0<_
z(=Pi*zMT}rzr4L&(c3KH)GLpFJ9jEzA3G;kf~f%398~qq=Cg$DEGGjm(B!e@Z_DQS
zT5hxr8_w;05Afra^mLgJ8T*YA8*N+I@ya#1gWCcCezlvb$IZwhwcKF&%S{$EuH7x)
ztq3sSy7>E0s|+e_JbT=0m=Wii-|VnSCSZ%-?!xqXDV*Z(nTao6qklP*`eb?30wx~*
zxc{w30@Z7^hBjob(0`xY@3UrT0hi@+f}DB9v8>md!8CM<eyj4SKjSrXIDX1L&CX2}
zrx(aft*VQ33SYXSeXAKr-J*0ee-Xx<*9s}KK@0Q;@5nCg3TD6^oN|Hdj1V@BR>WNL
zT%hk|T{-OFZwkDX);^#ih&0h<F^{GNdgEty5u+v(&=<R9%gIGTO~)@M2T~X5TW=PA
z8d5a@UYU}v<6Ht*Y7!rEux^QdY;smMF5DQNHzvQeaOOinXBJUg^A&p7%!?iFqed|N
z?y%a`b{^c+*~!>6{g2Ks2O_5(jexas{%_)KZoC**!2ha$jqXU=n*Q#MA-GQxdwoN=
zurn<?`2qtY`m&yl_0cqhPqx0rtj{=+&B7}CoeC2!XBXvNOf!J3AEkfzF>vBlS;9l~
zC^OoM+%X#$H-Nc+K_TK19Qf8O;1Ks~791P6c%wO9A8I9xrGm{kuua0Q<EI=OhB68}
z7>Mb^yGY@WSEV?xk>zb<U>Z9fOD_9JNzntA$c43C3LNM+HB}*I#ED@e8$NZa=)s$)
z*FU^=a^S_$^!EQoxbW|4XTi1-UD&*T``W!s4jlW0=bjYvU{A5of5lsM!S#*2?JAiQ
z4_27&<9N)6R>A|#Rzozn_MPAss^Y}6`}DUe>=8i6Pm(E`VKlf)XC8kL#)YE&V<>%w
zgtys~G)q-!FgL^ZE61A~dl&V0ol6qLKlZgNCaqLBVtOn6;RPOSi|YSZ(Jh2Md1aA8
zVN{@PQyLb}<wb|tZtHtg5qy7}?NpH|6@08a`4(CDu``R?<YAg9)*4^9ma#;E<$ad4
z=T-u^dOixh)x>f3f^KAJ6$O}fj4^E#BVj5Jvwdiz1TOG@fATMe0&`mGvx^LZIQ%9*
z(jr<4{dJW1f1RK}_*%!-cm^R<7&@(0@4c?y4wtVQ+bGa4y?=T@R2Vl~>$NSNki}@>
znuA@Y6zD$Y%KdDk2s(Pcua<o)hsSg22C{|}=<_bNNxLbE&W3JwrTt{&ewGop11Rw2
z%i-{&BVzd3=Tq)JUIol~^i%i8UJ6|1F2CS$SOUksX;CFMD`HYOZ`#>V3do&Jh^U&D
z#Gd@CX9I65p@(-)#mh<xD8|<=+NDTi0D1A<_5o#7bcp!t%}<4kwYC%XZW~b5r<iub
zL>1+;{*?##QQ_z|k32#~4t+&zM-}g>VaSOO;c2r}VD9+3cTAX!!<fLbHl>b{c}p!(
z(KMir1TN%@$m19KQ1_dSnwTIpeJRsQ7rv*0Tda%%YIR3Fs0i1>Yp09(M+EgitZ)A6
zjG7|u=Q*V>TcC~Ci=4I;tm(nS?eE_v87iT-W#g;fQXP~#82vSd!vOrwGrQikQpTe6
zVOhQ{6x{J7qm_MKFN`YkQdYJqDD0hC_b!Qo&NrW)bMZ6+3!9t|?&hk<Z(ql9wVr~y
zG;25aVq@5Ni9%51)o}U#&qi7c1wZ&)3%e*}3LlbmjG}+5;m&fW#GL1p_4`Y#F~Z*r
z#0?TJY)w{22R(YZ`hE&dnGH>AcbkLRTlK!PN*d_9|LVu9B|2#CWLKn2BcOqs$1O8V
z1Cym9>UOzmqteUj2j5Kq+8)(Rg%)Yxet}<?nzJ=A^48_sZH)krtKuYn7i!?;EItXp
zm+Cm(xZ{4#x^G(qS#3WWqJd3?mbp>Eswg}w_h+%#68^CzB*;r?;HU>FQBqMEbx)X7
z9bmTtX<tVHr7(5mKRoDksYn4!ZJI|i&8@)M!M8{l)vz*3{>ZEi8SNh1ZyeZX1?Pg@
z>RH=V(dXeF>HAGG_$~C!Ny-5$sCT0lE4)`h<MY%scSi|4xxls|!_Er2<0|{Nr6{9>
zQJ1i=rU>RZw{tI%tze~T^!ZCSCETmf-@9>Lzvr_hXRJmnA+7&S#Yr(moO~M9$!5oc
zCv{$Czj|y5D*HNG4eR7FVd{mFY$_W*k=xVl;b;kOq!_AnFOczxDrfpo7bAKW@Xe|$
z00e&%PAb-sLuTa+amImVIz2k0G$0Xx<^3~VzkV59{W90K@zE@OEIi@LaYKNlI>oNS
zOH$Y@E3g*&VUphWrs}?JCIJeYqjNHiB~Vtu!K%n}l<qpudTqSd0xl%JoHmgX!%z9L
z?*03R=<+Se6UAZ{z$dkcvkD^Xda?ZQU4D>G0Vi?(UFMMc^dD;O7DBe!?;BgZ`{{d{
zw^aX*H3PC_^+AI?63!j3?CKlqqd(tOV87UA3P*;Pl~SkzXvWN7<`&vdm!q`Yh?O>l
zn~Pad$;G@le&Fe#eBS_FPOPG0Y(1xJeX^u-eK$Amj<9=HJn)@<zcpi6s>~Qf4~9(G
znQ`LWLcFw}=TG{YQFytWfH5TKt0i|FW5<_Q6#ZMBM(8G*;bmi9Mv$D!u{6=limy#F
z3?uH2)03Um#XTDg;dV%}v9%uyYU)Pc_TZkRkG%i+;exgy7>j4o(|0msgQxw7+3*y7
z=Pny(u6qV>0Jr+_yECDDZcNjrZ-42DpcKo%VgNO}6WglN7;*W14O{;3EdA~4pbp#f
z`k-GBm%o{t5qqmnsgk%B=<`@q*)XaH$DZ(YhNm*%q)xTJnbi{g!8Nt0pd)%<8E}3F
zeGdcjU+Fx?ac70@d8sqXX;2qtsD5ivdJK3(BWGN7ZIymlYv*3OBf4N!_Ve&GjREic
zjQGJ`!+@^}y=7cRX^>8O*KOy>fXt@_`bMOfP+IUc%gu8%$m_7-c8F%cQ-NCsqpvgL
z)W?J;157j!KEFR&Y=i+7t(zW2v9n?e2XFkDcq-&%WE~(KX2cmm8_lvuZ20l&F(W%o
zDu@iW3o*<wV*lm3RQbIec>dU}<Xg2As1PpGS;}O>dliAdd9=9@gg8?7ds4t+Po?)U
ze`XY99^5jk%!4JGRu<#j6mXfiX|Q;N1zk(a<05VO@aSC6`Ef5D=)b8-Dez^*m0unT
zuA2q0ZmOd@yiOaQKi>YjYh5RWuC!;>VI&Mp(w*5))duxjRGZZab_}OcydHE5;t;!0
zo>hhxDDD_?n{wmC(5(R^5qn`wu=(O;qN)WBrcujp7rBsjr^3;zM+8}lsnLF~HNk1h
z_+?cY54OaaYj@rh!_1Hy<A?WZ!qyl0*Ss?LFtRA9ICj4Ta=7RG&g9etoxCQ~qC*16
zS7L9Pw^Is>dhU9fH)%kfC{1Y7I=`&!o)2PYWbl`Pc<+g48sM_`&&Pe$f>;(YmFV$G
z7WsokCYqBpVCNM_R#z!u9AT6B>LNf!3m+GSz;%4b6gej=Mg+|?H@&NImB%c;!<WCc
zX+YEb_m5!;VkkJ$C646^7;QXa-m9PqFApU?o^2CH3o9Py5FI6Kzq>?jPt=4R64NuU
zo=T$GSO4nZB4so>deriosTLe%s^DWukjDP&S8R;7s-j}zf0NvN+Hg=(;7-)j4cOS`
zpu0A%hG6YOdn>8~&IOMz#GjBujrJs;(s&Jg84wi}p+$i`Yuje_Mw3x>%FX7fg%)lS
zd*v=LNr6vA7TT_Kd0cof`ChS48{d|*3qU&+ifscNm6jB+*1qz@HUkP0OHqBFdTEdm
z=0D+Ps)Uk1olfXZQ1GIo%ZVgjJ<!!rYN`lU#sbe*k?c`al+K+tuso~}1)I=rpi%`d
zFZOt}^U_c)>!R(44g-*s)BAN~RuwNUHg?;4($Lxepzh{VMv$r!Tr(=Ej`Y$ue>ca{
zFt6^{-Eb)r$Y5l8xlKg_>9kV6;4m7(CgZ;OE>mc%G5$J9(!^TEqLa3!G{m635lk_M
z4V1NWI-fPMDc9HiQ~?z=1+7ihT?mk_KQ{gI(E46a`pElhgo58Ul}BY=0m#rvdLvM%
zg>7F&GD915kh`71EzxQ{?}U_)UFx;4|E!#g_Z}@gJk7h)ecTcvvR!mClC?0V`7`I;
z+v@0^Q1&S)zzW>2XGa~?(n8KGmerX^6<kx;UVi4g6{v6GxLg#ZiIri*gs!(Do{VtN
z`>SpZ)m~3Wi8u|6&*F~c-9pCSlD+CW4%Tq1vg2L9uR0!9EwOG1k;W8vQNv|NYl!`-
zdTWD{8ZJ=%I9eM;acFf*;3ETT82-c`bE8NFw;cVZ9-2tPEteLOk1<+<YWM?ZF)d|m
zlD;V~Jj;n9%T0RRC00;j&lepTzkbiSl=}9s`$Tp1>ArpYt-xQYy^?8R{Xcwey?piD
z96i$K`RS%vOK4TQXc4oYjC4wyu1eicy7*UPQ`c}yIIwNfK>4mLN>ivh=AQ59)Q<(b
zwhCK<s^)N!L8LT}TpK&{N56&e&ez^z_7Ff@T)5$D)_R^2Wp5yQ28sTf2W6`20A&;@
zJLA8i_`+2A<rA$@qCrwSdeNJJS>@<6Hr~Q$e{H$2TksFDD!y^_z)cH?aQsXmiwUCK
zP*?I*hAH9_XXdAZ=jLE@_hwoBFhB0e)?~k*KSh*mvK)WZVFva<ruDP&;2y~cUbWgO
z!a8r`b6*ZKDD6D+{Kz#96j<KT@Xl+BP`f`mqX?$3<R=x~euxzri<MH(mroLbGZL5X
z1e*YfHE5(Fh6%&&y6a-bA7W3&<(j~^#*nh<g^_?D16mC8yq$=iAl~eid3T%77*s>j
zJo?I(>D+hotB&j#Blu<mT!Ic6LC+a+nYPY(I)_EwbO_4`VOnBX{<p{w93P&&w#j#f
zK9|;XacAXEVrnw)Mh3|cj&eo0PWeyK=jzNi6yN$m93B09(&4NDw2jF0*;h}{17ELf
zKj1e=B<*Xz`=Uc1TzOLhe_M~xC;0sfpM>=jnwQvfZ(8cZ?LTg!VQxcoqcr0Wap%4f
zw@&Fg=jZ8x)0dW0eyoG^17Zz@QnYSj;luXWDY71vMCMRmTldm$=>F+DWYs}zeizKB
zbYB<r)dE-g?7Qe(-Fq5xpR^Iorn{|_1a+ZaxF%watDU|i`$(y7=V#(iZmn(eZ5q7L
z2#Ux$+CpCmkN9+cYctUqSo4vML<7^3t5V0JKhovyZhulmY9wYStA}#d_u9nuuBcg~
zTKX3IZz-MJ4MfPl(|6Kks4&FB@Z~^OHNEyt_MU-@wZt}u48M+N6zE)?d%QiYf`0Dl
zE9Vxc8ltt%Fj{jxr?^P0Jkx3|rr%e-c|;-REz!z9!73T60}=XG`@;oa(l4-lZ(vre
zCR(<g{Z~_}4F?R|54RXRqd#{wX!ho)B4nRCi0ck(!3_x~R$<CRI_0Lav7rGHJ(o$#
zM$%f){XOTNzH|&dPqeMcdOMxiE=VfK->nInvZAsh?#Jj`gBJBOaw>@`jazZ&?rK2F
z?9x47olwGfP@yzCu#!0AWGC;|sSbVVwhP@~?+_(Xng<k0DhYR{y(~M(>g)4LmL<PW
zA-1O1+>O~wCjxp?M#yK>;HuDkwORNRLb&$yFAi-a%uo4-6;`RjL+2;nth1SfVWZ8C
zoIWI+|AYnq5?_B;OS(~FolER>9qg{dDq^Mfh0lX?Di9vWw?x~RPn@u4F(_%NCZ?i{
zzrJi!hOE+3d)<=-gx_e|K$y@wg3m5YiPu;eKL2w&I`FWN;O#TKJ0D&{^sBetj(Ma6
z(@m*PO{2vGr7I94skOwfiH#<5d`b`@v8&d`sg&@xayWWPsGhjtIxX`kSP}BRvm^!l
zC?|H6m)KWQKM)mx+jtkJ6+m9RG$s8>B@z1Z*jG|)BN0(DRLFNy0S=yzSCeT(;#_Ic
zwlJw?;$7AIl=`3YP;j(9`^xcZqRr}G9cO$CLG~!43LcXOm)**OsjBY?SLvv(dZSii
z=gx+zmSHj&)tz2ED)^pozvW&r$JI_ePz$&{eVPm{vGFnL8g+zy$8Uxm0v!Zr4AFIH
zK@R3-rGp9r8VH@~{oi%AcM(c9Qe&*w<luywMUFjVBjH2Mc$3u7L*(U5>wXrN1HG~4
zLqi`v5h|Y>Vs}LL62CGfs*gFy!q~glr}%tYh~Ba8FrUVLVrj9BQ8#b{OeHK&>L|1l
z8()9_=XQCJIC}l!!SP%f2vG2~U}R}03c`C%7P|c)*xU{7U-%&n&xDq;UWj!NCkCG-
zyz=`=T;Y`qtszUpNoVWTIgc*l&gHBfHnqcqSz*cx`VlE`U)9=W{-=i!S@d;e*f&O~
zD9hL$crFPhpVRA;v6qmP-!DVx{wB=7DhnnpOF(kpRo%5e{e;;AC1I(&Nn+b2z4{9d
z62LOmlOdinNZ|Bd>UG~~Vq<1@HfNSNJaBwgADZxk7|`3SvwU=h7>`^Ha_0~Sy|9es
z!jhlF6Y_|pdfXgQksrsCb4m={xj!9zFFZmV5%f?yv9ds9^Lpq?b%{a;`~CULh3o!!
zN<ZO!&N2~Z?U}!}MHH@Y&q(!2{Y^-_$t_4dTP5zP4R%z%6@i25DW^jwCJDVC$$_MQ
z4B)tT%Cpy61m=2nx;K<g6RG68i8bv^z+N)=hU=p+yn3^FU~}mVaVX9FO2l^-=qx=`
zB6~m>OkP)M*G|n55)zL3TQu1r<*8+f?t&29wCHXrII&1jKUsaaSIh|m%tmrgQ-#1;
zuWnjHb%oey`r_Wx8$4k80q50s3PJqehwLKyYed&?>2rIY^F#IiTo@4+0<}#C6=Urg
zA*$_AvwS=WUi6c`+!zsrxd)Z}Guq5BI&?v)H%til^PZ==v<gCi#zg*KTUPiV00960
z6qk8CRBs!`g=`UHW{iCqW9(UH24lHVC`zT2N|q!lDO)A9SRzr%UWtgv5=siW6Ot^Y
zD6;&DM9MDO^v?V5`8=QdT+j2I^S!QXa_PeH-Xb!Tl{v2r=n;nupC@lOWb(s3{)nO7
z!jf<mf(!c=#o-icmh0#U!LBPw<0GZgP$<4i?YS8d9NIp~Zx$ATqcU<yBI$CV&V4Mq
zql^e1+vVN%$%?_8*A4SxZ$<cX`wCHi2MNSxU;g4AB!JMR!}Sa5RA`G~wy0Z>p{1sN
zcV7n)mhF|?$&xha+Qe^Z6f6NjE$2pRX35~5-fWzzPlv|YftqkZN$Bg;JhFMCB#gwT
z=>0vZ20lGC);yxpa4?TmI`B~%9#Hm(+ke*pW$TYclh<T{e}i$|j|w>uSnoEnD^44h
z9~6znzEFS<IR8$-LlM5FZGI(8(*^%EALV}cD#5?MJD*4JQ^6sVl-G7i4}LdGbv-hr
zfuZidw#=8x5aWEE9nEC`J0%=?j>@V6t;oSLu1E#gg7uOg4jDqR{E^hs^BUl2nR52%
zO;yl)bJ>~L$N-6OlgRBC)_}|r=I_N@>hQ+WReWTT3G-}~vXm4(I6m~w=R=VuOdst!
zUop#q4DNGRd<+etpdcwMw@@33<jj;$+%SSK_ep++GAyY3b=K*2q7Jb173$CYX9Q0r
zteZ?tO@Mg&;b&&9E_AH;Z#6032%i1;sebaT8Fb&CTG{Wa2Ls&i&-V|o;1&0u#U0)N
zKW$m|;otP2*!II{^cg0oNDNh8`C|#?uI%&1>-6Dz<i+pRR}4WzrMKd|zcmb4jwCSM
z^`X)EZ_9DIJ_sD@1a|RSXiBWPU1FpUN^*OI828t}+5n~d8*<md=s%Kve!CuASG&AA
ztxyfFOAS`(+1r3&(b<E#R6S7BP~YiujtbR%KaRxY*no9meU_-1F03xIJ#t503jP&2
zIQ13TK*rpw+ntVUAn!2cwBH6{XdrCT-gC?b2*ra1=KY$m%ldVF`|BAClgA@%_qlE0
zhnoCOca}N?#qYnJM47CAb*bC3)^8oed*nZ2pP)n6-8j*%@4Wc4_LT2MTniObLq_hE
z%J5i&S=JjYird$Ier&|Q7M|Y!y6V?YMYu)JnYjIci2HU;7#iAJ!?;kA*JOn(&^u)g
zMx;q#*3iYL)>p0Iow9ih^C1QJ&(<64zAA~n^oYjRVM`d9x00$7Aws426UEwIDNN(J
ze%i{y5-QsGor6z_K%%#^`%;QD#_+~OKgtKN(~QoSPF@LQUs9ylcWHb(^gP2x8er3d
zS6x4!|FJNz$PK;tR~qLBatmMTTfoUP0kdgWrYz2=HnZo4q>*{>a!;6zIn*ZqDyepV
zWl=1U(VkQwjRS27q6L0t!1uPz`u?TfdRkQFbGv=gxKX3vf?d8T$oIW3al1HGf7U-F
zdB40g{uK8VjhJM^uBz)}Uo@8LD^eZ)Z2u^QNvS5?X=~ZA>U?HoK<U5wuQPo8>nfy>
z74s*YT3`YtBm4K5GI?-GiANzjMGBKkz0$@=CeX3U+v<S@ABwf`Uk^!?!rb}(#;J?O
zK>BxKl*A>7m&yj*-)2dn*M*AGz}3bOnm(NV?c6F1FW)7w{9FpVpL7uaOE&^8HSvT`
zT_U(D*~m3lNE#QLUAkH|jiBpMX?598QJfQu5?*;g8owLy?wxFAfzT1Mh&UGk<My@`
zhz&^Np^KOMX$M(w4#koviv&C$aN%jtVHu2)-tluEnFZC0pUs0mi=*ejr}$EmEUrj>
zbKp@66XJ?D%x~==;*;@91o3WJj84g2wvA!}Thb@|<b4u~+075P7t7(xUO|U-c1+kw
z?I-QbB;z7&VEk*QJeD<{I<rV(!oHC9HG=0PFf1ye*Dgx|=^~bKm0uZf_3pQA&VCeJ
z8*p;`<t{}Wbt^IW@PYwejT^=vyGo+aBiV+6DMc(x*{l1Zf&s^v^OgIzNnw}oaiy+{
zN@%@iu}v+X0qJ_dTE<(YF;HZyt(hJb-@KABvB+b9^^wW&)*UjacJJG>;ty2xxAil)
zUcvw)6SkAvepyuhoETYpK^f0o3Hh(4fdMc1Uc`M3mBUl%+7ij8G(4I5yM;KyfIG=w
z|MI8H<A%|1j}A}K@JPv6ov=6)mMfKN7Hbr6D9y2*D@O&7Ocv$-c3{G84bf9=0gAYF
zW$fY3O?2E@vRzgxg$aE!tfC4*B`jTaTvGH09WNz+QakaL2{DISu2khHVY+$oj*6?Q
z=o-}W^S1*F0<R1d6d6-7X};0w7)=dZWk(%1*0SK1FKJZs6%}_#nsvX=Q^VqwC4W0v
zMi5yq*_pdf8GE?gbKD8)$SnM^KI4fIY);QibC^}e!8k|id2e+zS`ec7I2yxUTGBKt
zl!oK~J#(JVR>z>r&rGt%jKT8W$45JV(r|@Vc}h;5I@WaBlGn$Yz<8O=(@TCTSZ(G|
z&HGp#pCk(ziEFW;M|Cow=B*00-fHh-C#&OtN{zDXYc`-ZpKPlZ9YwD#8ZqtF@!~*s
z(#Bv@5dCJ!+Yv~|Lfd_eo<TLdDc(~%L^6Y4qKkXQ@6a*Irt*rwW;OhoE&q<E#0=c8
zZfVhJp<~U>NuTy?RjjE9C)Amk1DBoHko+4uVzk+D-M4hSNu_gJ)tCcsLtnHlXMOxN
zJwDw@6^s#yXqC~j03G`7i1-3Jw!B~VyE;chg7Ntcmhl!4asRD{{V_W3>!dL5k1L~p
zSl6QFI}4Z&xAosor{klWvkvAxRQ!d1Z3FlLgh}so*0iYLCB?|^-<~KTujGt7j}*XC
zV`SLAohlf-eB#CWLPgwW$vf|=2r!UiF)rOp!zAnAD_;y1aPfM~RF53MvKV`&*nx($
z^p7c@wB_)Se8JF90zl2AyI<A=W&CQTcuR4e4BnISD*N?|qrb;>Fit`lsl@Q|qBByM
zD3&Sj*I)tjLyq4B1E?5#_9S_Fgo4ilA|s{4EP!Q`Z=Bz%gmmk(*WLw5;J)AF%^%e*
zU@$d%%QLDH1|PUf7}g_W<@e)jueX~+dG24O)G$R%(HJs!lO^E{_r^M+uQ{yTS!BYz
zuYflW@n>cl5V2})n%vx9GZ0Hxs8<S=$F!)dcDWF7^d0slHYAvVh~Un}iH&mTe<PFn
z=_3JWO=--JQfA;=NS_zimqkCLenMmr0R<Z#?2gMd1&5ru<xDjhw4Hgh(N~jzZ*A*;
zwrQF|$Sa}>#XuUjv`2<d@(|GDPws4HB^$DM%KuhwmBQJcskD>7#V}v>zI6ke4fYOk
zjn=V}_^!CXCRvn#cIRhkKN?Nol5`)x{aXs|;13h}Wk$eT8F4mUjwW!+`1M8+76mQN
zYb@tP5%9Td;>=*bF}#aBW|DDF0ww%bC^T~Pf5@I5O+L)w^U02(Hz0vKn`ujZPU1Lt
zqioFmpAj%xOP0@lA*1JRuaH~4;z;2u`<$O*1npKSB<DObK2cwvKnftDrm5D8Mjaz4
z@2ArzL&&&6;uzD5bI#(ag7c&f7JSa_wj9|@Mxg*x#^O5?I*4@mOdn-IbGION>?Y&7
zzVV5@oOvBB6P5QQS<q9y*M6NJ84tWW7`*wc1m4wD%_whTLjD%-C&O3BIN?63c>M?k
z_e2;cY(2q*0@B2YeH$4=#%M0I!;-kub`#f<E)$%pW3}m05?FqRckazeDSW?rDpYuy
z0WEQQ&PpdGa4s~x>uQ=b9{uMZzoLo(6fRSlnF$HxUFzwuXp+H}J3JAaBN^bUz3aRE
zF$(h75vnt}<xnKut~+!m0}iWnlzkD9#7*8#-j<H?*j#leNQlXR;Dx8*!4;C|(N3+o
zUZj9s!Q<XZvJB7;b`QGlCxst$18m3R6j5NZP^(aw0bReUPtO@k<C*9FFZ<RiVRFXD
zLo<8~NFB4%{3RiSzX<-UT`Q@$aYp^K2xon!Uu~EeuPjbqRul1RrQ$z|)wx{G{OZ}s
zaX&6O+!!%qRenVo<Gm}kZ!=~<58t6!$|`xZm;F6nx`&3@X`4JBdotk4hjm5WR0TY9
zd8R3Zu7drg4SXIM3|M!|Gn1sOh^(N=i!Z*b;Dd$x^R)vED3|(>nEgl*%|A<4uDVA@
zr{_VXRL(h%#wKlEa#F%=Px(659aP1&+=p^&E;C_ET}9BFX(fyg%zC6QrH0nGP&4!&
z6U?uSM&D1QVnd=}x!fZ)<bCm{M>vcHJE+&ozGy0=?|)Gtn{3oEMErf->y<`8mW|Jg
zY*xlzK5h3Gwd(k5HoK+uni1$a&pY~Y_T#Hrotq`8fmcXJq>@dIf$}Q-&E5$b-q<#K
zc9pXRI^8T=ave2>rJ)>y*`q3GpkKmu_m~FOu0Q->BGm+RPEYieeN{mr)!yetJ{oAy
zQU5yKo(;*PV%>_)91ic#PT?}vzzq#oBloW`g}Ra%_6TSHMh2&vu6<O;&^}|HRS!(T
zuK)bE<|R6|G7r2;@Kncgp3+^EeP$4EKCIKPsfyg*qW5TZYIwDM=9H*_IcyknDNnIe
zMGyAbuGu+N{Qk-yC?(q*l%g(Ayx*vb@%O&<JQY&KkyyUxmpFVY3KlRHW2@qLV^OF-
zA01s7MNylwEg;3UZiXSIip{=*x2nF;u<3yO_U$VG-aWe?_`aQvG<}Vsv1iK2^Lye@
zqAGxH+y1K(!F1Fo=HJb_LPdqAv&CLk0C$A`<R$ad(c<|+{eCwkTyLH2j#~gu9gkZ+
zcwPnd8@$ScbQSUTa8z60c7X5mKlh0)(oj8dll5B(d8`W-Ic4YwaJO(ki|s<gIJfF1
z)>j$K`(R@nYYyQ4%3Jc)J!K5{sED2ZB!!;?3vFs?0L{{VrFC4&Xt+s%JjW-Aks5JY
zZ@2+U8w{S0*;DbrhrClxyCiVotnly0l@@TmN6}v*MG38j*B(AFM8fP&ueW{MEns27
zf4px{5qG$aIs8r~VuV0gpwy%}R3vz*Bxow)+oNL@SI&rItCCUm!3c90t4P!f|0RzT
zX)^mtG6^W_naq>HxfjX*!X1y?mBXF6@#|I%iy_(V?65_m8Q4kQQW!rhi`QOinNB#1
z;f&$<(N-}tC=ZPBaIus@UmapX)Tk&f-@bh&D9IGu|KkzK(~w5D=++Hyd_^(Nskd_@
z!4!g|AMG*FkiuI3sRQTrMDb0K`VsRaHXL_)*u-loiJ!*Lx0JC&@k`p>m#f6taB`u3
z=%GIai$1uYZV%ziNt#`7O*Vn9Giw5FR7v3N)Ih@IxF~ugH&!%Cn!vRcj)Ki(39NhV
zq~&TOhSkDc>uPTrL$b48u4n=oXP-pVpOlDU{qNuP<?6<ean@W-UzUu61j@%mbppO_
zu^ZxhXaq?v*5_IqNO&ek@B8Iy0$NAB@FLq8LCJ%?re0@AsBingvE4-+?^tE?>2vz1
zj`!<=v)f3hx#ILxf-n)eL*0IrhOoeWzBl2PISKdv^b~b|MMPDf^;&}@7SKNXM6BmL
zzgwm!+m}beD915fVl@+*k`8zN+e*S$YgoU2#F4QoA@*;cI}=WJhk5J_BjGs{_0M-s
zOW-@**ke<xnUGTzVK(!Kga^o)A6LXs@WfZ!hufYp;Kpk{*`QS%pYoBrt8haS3moQ8
zn@2D}^ZJ(Il%r%ch%OLRYLddr4+o?afB}S25gK`%jK%XNJEWI6ePl||B|wk?gN3`&
zA98ZWh|VvHpq(t1`P6NB(q{<mY5BP}L<*knKH}GWOAbA+UT?a3-w@dDd>t1WDHyK{
z=1U?9cr1Fid19I&C|aiJ+i-l`k2mDxnYD^I*I0MYDasJ!o-yBP@BP1y)`1XCjuv4&
zj=g%y5UisYM?S8T#>mTh)q35W|8Zh@o;Sh}y2#YJ5px-g4V+eP%BP}QAi>J(q9G(I
zz|>`qzC7j8Lw~}QahgdJ^Di)j_=%^~)t++beMsh#qcaWtN7S{3It{^v&qHS21$o>^
zn%&;3tAe%t2YdE$d`EEfn9Q4c1>EA@^k|b19kV^j>oe>bprKe79dSkxd&3`HTN<L{
z?Hi{(mv1tlftMZrT15%TDg>VLQdL~N`*q+L4-?ELkL}Iu;P79s!SQo|8h*OC;1+zG
z2})zZPTNjWIewQvm8GVRdsB}c3;V@{DGBBa6PhyGrlr%8U#jEEgJEeA7g@l~uxhqz
zS4PsGM5fga4P0-3TQp6J^BvmyZej<}u=79K0^zv^x@`CB_3JeP=c|_I)5KKJ;bq#b
z7zs`Mz^8vxJINU8-gPn_+*ZMx57=u%EH%;EBWWgLiwTs|0v6iW&{0I@-K5=GP2582
zt++s8!>IyCJwhQJZ<IyLuw^x|Qa@+I%KzBF`)WD3mY|B-KelGw;JjC;(>L3?z!dsF
zI;*q1Rgt=2+#+nl(R0XP(#6*dsxK_4>*lHAHpfq&)6&)P?zw4uYpOXsTimdx<^_k_
zXRD^Vo~j`|Q0{_ghdE5`)qa1tTNPtt4*h9wQpM4ujAo**1-OZ?boOsn#ogV)IL*=3
zG845!YT5#1TT?2pUROmYR_3FcAQco~-!!+@1?cE=p4zcf6;mv~NCauq(CGWFUFLfL
z%-o1L@{5kg7LL*yIQ{XZWYTcZDFFKY!@VnF=(zn^VYB^tB@}I5tJstP5Zyoge#IXZ
z^o*q3-NsVH(6xWQ9JvYrl6+YOZYsF@+`Limh#bbQsO#hBtoJ+d#F_s-4Kq|6xxK<<
z@Oe(h`a_)gY~vgC`~N7T@{bzX9p+MKv9#}bfg8Yex%2-hrpoxV=6Gm;9tEFX8?ygq
z0<cFjM$0>dicT+XN*nGXV}Q=1)R5Hx_LrNu14@<fQ?|i--Wno)7}NgC|Ih+DwKb9Y
zMG-H5v%3_wO&l*}QkpN=SU`V0f3yTA&y4f?Wmc*XP|GiPu9(vcFhYT?|3V&99>jN~
zYl)!`t?A~`P3F+=q7!JbTMnzv?D-Vewi?HhSLobmH3P2Gl&YkEGWfOF;%Gva2x^h^
ze4bdF!Po1>8|tg2@syKpRm*c>{9=A-m|kNFBL}bTe-<l+Vs|#ay#>Ok?67oyUe6Ss
zkf+y*9FxRn7eeaFR|q3p=!YkzkPT~opV*odz~NU+-_a!=VJtp;z|UEU4LlOwiXRd<
zdG)K|B*9V`HGKc}?zm<GZyQfLDLmuk-sjCf?JI?m>-(pJ`4kg~5&7HdAWlXpt{1QF
zZx=y<Yvb!5rW(VvQ*FHLDH1yC6;#X9R-^l3vFMZ}hyTn%CB?r)Bz86|%E*YKw_7_k
zKg$RVj084yq!E$6!>8nzj2J518a<(<W&~N^@6IP|AmWS)F=A7#7$)4WZf$$O0)5Sj
zjrAlVvfDy8cKQ+Uwn5V7PFofPjGsL6Y(X6DZ_FC=>vDQTYQAjPAQKu#P1bUM7e_Ta
zYE}(55$|R;s>+2jVQIUf{M1izeDgQ6WB4->B{wTmxn!8Y^>}e)l`Ii&4Kx<s>?PrE
zV*$#ErwrJjXeK+cm58P8iVNC<WLyTl$w5B`IOG{O>Sht~^;ntzr#T6XqN#PIDl(v|
z<f_gU&VFyl^&XRvkwg>Tvk|K}JePPF|NiY!67G80Im+B7h1&=>gDNu(VZ+x1cH1He
zZzi4ajJYX|Q<qxA2>T3SXoqx_GpCPaxXKW${>osb#&lq%fgx166nMID`qZY6(Waq(
za`+=OT$d$c2z7^pM;@=BAk}R_g@0NelMQ`yY^Duhs`3rNwTFTtw;WHitrT(AhW0XJ
zzyQ9CR{4;hNFpzdJ^6>EgulI3-&p82fT++k<GgAqte@KQ_V$z#{x|%`U8Bzc=o?*6
z6g5fXv#aLPn_g3~{E(;|VZs2mbS!CRjmY4ZMWNZp)ynuyuQ~U;pdl34+>NRu$zf9z
z{lk_#8Wx(I5jey&gzo9MYOd|_cu}urX4MrHOaTw=%K?U9J}L4=C{F>M4n8_~@H8FG
zd%5V3pBO^UCpRMzjxUsZd^+sstBQjE>e-1h4B(!BTN!4cgsJiOTN54BP|LyOY;+t0
zYQ!>5FMd_Rhkbqi4K#Hu>lq{W3ov1$=-HIsJSyJRt-ciTT^*GiGovChm~hXUHK*^U
zj5aQw5887y5c9Y5|1e>}vZd@)6NQFL3my4~O*QfTQpfjg-&nxBRjVV|M#INe8Rr%r
zYGP{O&>*eY2wr`$V68c+f>GnABPB((Fxd2?g3AeGXk9XL)|RE?T|Ot*kEU9vV$ADm
zyU7FuDZ|O{%IWx7^OO~znHC;vzZO=g!3J&0mWoNHDxPTl9?lll!i><W2StLWz@M@f
zt?sDe;yRs(s5_eYsgv%q;)^Lv>-cNF<yOPJ6NmCn5;XC2a{F=e6EmO=9fl=qHH;PU
z%ROnQfx8q^zv^Ew2LqSH<Zxd#6e9hVeX>~{9eWQ1JmYZ8Q>bu#`!O{vOMQ8JqmCNp
zK9c0SIAsBg7kxzd_NZZWmc7Y~uXIe?%Pb7!;MtsUO=z{68vfC18l%Lk;3lK2tlu0C
zSCWF8GI~^z=&GZ-BuT?>+?D)Zg#glW4RdtP{UyV|zq2=}=uy<rt=j_7Ro$L9@sW<3
zxu&%Wl$7wh`@ff-?*UvQZPwLT(=nO%-=9;v6|kg4A=$4FVD3i>-$;@Q?pm3*-uj9x
zy6Lsupmzc!d5X01zoKE-kz?@#b5dCC6>U=X5a6wA?7O)YH0)i7UaX6wpxY0#J9|<9
z8i>+fp`1RLre;tT$>IOS5%+{_UjPNCeJ-0fQ&Hc=g<Jk05kvRB|2)S47}qcro(WXK
zb2^^2<i`YTAKbJre$fJM#V$0)W+-CTC-3~p^<ucu_5n}-2~M9%42*0$uYjramCbaW
z)tIK3{BpyrIrzNqN&Ng(4zsh`D3KPzDBWgumCM^4USA>%y1C0@$a0)~f2|PqFN>>v
z=r)7X6R+)pCZw@T_(qFymLML!wEl=c#}__Z@*ca9D1`_6eYZRH3E&>1BOg}ZGli@2
zIbZJBOX7UrkI)r90@!LLGua`_$q$r|`(G+kP_T19>#Df`eykh6m~?>+`BmN#RTK#n
z*-Wbxa27zLLdF@9Una1_<=5#_RWb&_>fJ^K0(fwID7@#837ordBK4*d3A-)$!ar#W
zB3Pde@%qmgJinBk(Yr=OLrv2o4+jOYrsM9i)J|hK-feoc_pdl6_OvuP)d-=>pBL@x
z-xz_%Wy8MlP;nGFy*-EVWEGm;t#xB>HG&8gP{}5U<MzPuEhQtucyb}2YfU!`R-OH0
zs{53He3B8CFSS<V>7&==-1o4+ll6$!5lg@c$KPHKDWbTm;oURAF(wo)Rh2$CK)~Pi
zql9OPVwm|rRp!76CTM1RoYQqBV4&@HYN00q6OdqACBg*9Evs&1`VcT|4J|#~MjUf4
zNdGpz!+=V)sF3|}1avd?wn#Q1qHNnI3fqnWN`^-#rRq6;@BD0HzXb`2fxLP`lZMc{
zRawbJP#h0*uX!J{os0rMGFGnOaNdNJ!tOsHj_v{09oNGp@SmgJOr(P$wC*764eS#~
z%euLaZPgUSO?l2de1;H3n@#5NAR@E4X=(?b6jCCqR{U)?fQRN<qmjRfXmH<5!oo)y
zKLqF=|9i;*{#z$_@Mj^%x1?SgMi0thnXsWsj)wu<e7Ms!;4m3ums<;u`^w>naM0cq
zQv+Bm5Fv3{OJMoU+<i1b1-vnQg*!vZ01hqbl$2>x(6!#b=GI<Lj~Edy4kH+Vi{US?
zvs#kKC>xqfwo*dFulIDRA_lPBHt)XILJ9|7^EJ2YQ1N~`591Ws0Ir{7b_;t;<K2g`
zVje2WSTm6l9iwRgCI$NrQL{Pvc$c`isWgl}72a>Z*#L%ON<Ytklf}p33MI43oIEI>
zTiP9E0FCcFNpbe_crd&pXHJcdfrajAYOS34@XhtiV+9;)=ngepql!wq#{RIB452>z
z-yQDjiYRSFT4}4RhDwtzneQ$bg6^xYy#4M<I2Y$XETO56C9k(WE97UuQRN-g8#So7
zi87=zCZ&NQ$uS{9=?u6yo*jDb2Ngv<^K;x5HIR6_p=y!MguvgXwsy~yQNFWwWqO?^
z-t>E*vNX$t1pC%fkwh9czqLDI<E@1rH@m}E)Uu%4exP>PNd-e3cD$eds)crger%5v
zBM2Ifs*5JjkzL2VpSeyOeLh`0QWRzkRdp%?KF{d5#_7;;b$@OAe0NE`_=pK4ZuCj-
z*sqH5GFL6D_G#mw#VYxr18fLr_>?m-uZlVmZx4tnXk)P&>x8?fDI}|f1+4T_Lmqh%
zM~RzS$aWo`x7uX}Rkxz&a$41}ipJGdF|3Ius>50->&<~{3%BqCA$6=JaGw#G(!l=#
z0096043~E})n6RP?Q!jE?|JQU?{)2QKNpcQQbf~;(lCljgrX>AMvD}sX*3Y&=le;i
zq==%D6bjkN%KZ8FJm-1Nb3V^G@7McPI>o4{(PhGP##&~Rt`0JGOY0QW>tGP=3-5+m
zCUDK=db4zN(0i^hQ6W?t4;gzOBsKz2L@0x+xOFhiMhMA&G?A5e^_%Q<fYa>j)kuUk
zTGgla9P^<d&p>;6)pvkAlfLLmZ*5FNZD&TAI)+=h6+9AP!Qb!h5ByuS@Tu|T0ChGs
zoT(Dq^h}cl!OkSow4oN--7m0i^isjDUXr^JjRg-wFJ2}^YGRO~OUtSVMVyRu_I<C%
zf&unths$qJ(9-^GZon=%RQq=RK#w#Fe7$Svp7k2oP$$EAF<TmcTMc~}n+6!051ZN1
zp^oJ@1ErTaC9%#^;9c1pfK>*8^UecmsMgk1WL`tYK+BW|zq0{O8D@;r{;FcjWWqf0
zR21WiL^HN}1N`f=6dhYqL9wY<SuaI}aqk1W%3^VVC-FtlFRX$bFJBW^%mh$}l$20<
zo(T@gUq^&ol+YfVZ=3e<;iBQ4BO8}(Vg8YI@sU&o+?g#BT14hWQ&v`8+74S#xZ1gG
z=9e4_P1~M&^MD&W`fgq|t+xTr^rO!bd}L8?e?g{r6&G$6y0ERCVgt-9J{P-wX`Imr
zYZ8;=!s>l`o_CV0p*p>O?&>)yd_3>fJ@A$jzcd|Jyfa`0)m@8*f!ig~Wy8p^%P%=G
zS7M^;qKg$MmU?`B?<9f0zLm(BEOFxa<Y<q`BTMLA46Utk7soYs&+Q!A%Z2Xa-y{<i
zEJ3OF@VlD_$tYVB{#cHm8(%d?nYx~~fD7iOtJ<r?@Id3mB8T_fSf=v5qT-)96!L&d
zpo|!1$G-Gu`;P~Ui}`)0L(Jjf%aFEp=S1<1NltlRBQK^tJ3P$nGlPYuq4-Q~Q8X=d
zSB;tDLzO@D>i+`Fpm_CbF|$$;)DW2+5O*RWNB-R>7kf?Nc+^`;r<Dkr6^|&_-50>q
z;x9-31)G9RzVkEstT4__hF`EW6T<q*oUMX?P2im=dFWKP06;*$zc3yRYUjWXVN`D0
z-MMt!1lGv4ZVZ?f#^#R_HoR`4_~1r(KDU$!(Cm}?VogNw!rE*#4O=l>kZHNKrHlcU
zM?AlOz9ND`%G{s!+mdm6TqMiEjR69VS|UEuqUeyW{PgY0{E|vj_6q(rhL2k-o)ZzG
z7*q51sZN9hiaAVe70fq=YQcfQ<z7*AGUnTsdPfokS>ob%+>OENNJzL?uo&7?q>VWy
zrI1e|W5SEi7^EDsb$Qvy=*?Xdn6^O%Ta_{oo_|dTOM}fjNyTLRq3B(u)gX(71}R<3
z8FcU}3QF6!PaG}2oWLS4c~teS`(YVChiJVGO~xz<ysf&U;K4ryJmLFHi`#|{TrK7)
z<GPaQWi>eTutEuS?vbz1)##9L<?fL$I#L)Y|0cQ9K?T3YmoZDpbhsXL(~xQ_jckDf
zQTHuX@j!gJN3;kX-VQ#0s~jwYY$*-~U#-;8QKLD%OqLGqcVa5aZpq@1kbT-ICv}`#
zj3md<>9Fi^YU<H~9EL}jD;(acfj^Tn1Ld~RLAJ?aUCmAfv^o?0ttX0t8!yi}wPn*m
zwKJ`E?x!LuLRV1OWlj7jCYw3=gAT8oCDY9gDP#ADhYq<`3!N$#V=KTI_M|M;Z#=7l
z0S6blm%eM`rnI-S<`u^9%<}WG`9M{S{w;p|;=B%0M=iF5G8v#-o3rnTy&C@dHTZS6
zfF2r6c%S?CodKl!{N{FwIwlL|Oz80IW5|_APRR=<5G&=m{}#UnzTkYW`hG+oWlpcx
z3=cGgS4WPKc!xFc(;D%drw<H}%JJ!!ppzM#U^`%bseyux#~xgnbuq+H5;<SV#vJ6g
zpJ>j=*TfIuGW{8k4e`dw>z_vLEg(O{)CG5HA^Vx<kN5@+F(W*;@U6Ec6w>U=%N4aT
z`IYR}?r(+|jK{wSL|Osm@WH)bYqil>FfCg@%@AL<<txdavxc9{@9Q3}(!u!ItX1-}
z2B`a@vAw9&1`2gPE-jbn;Ait(<-_s@$f2BbYnZTwG~>`n(McT)R^0me@0=b^S8})r
zAQN1Vx(of0&_(XW9CN2UU0jY~w=?ks_-M4YwMbYO4}V#-T;yGur;kBtb~Qlf+$pW~
zKUO%BKKzl#SqsbAPA3sUELeX-rqw+~2ffa^e;3?GLGK2oXioQ)JonjSL=)D*i&1?^
zm*dn?{CvUDLq}PVI&x{YWQ9*cpAxJr(p2$;O=;y^4hxzMRkDtjX`$#^Q#WIGWjs-%
zd6}BWg50kybcHreJo{pu`15=6xJ{j<xjBOcw_6X~&-qEgH&@qKZ*!1A*1mQ-MkEWq
z%_uoq^lG4cql464O-X#7AK%gF%mTeF8s@(3>gZGHyP;$Y8J7ZV**(QsklCXwKz*);
zUH*-gl=mWNX&~;*{sEvY#wPS|sVa^YHEoQ&B!FQ>lkbO90IF#M9*KD>C_WzDz%9au
z<$Q@;Y&HOr^+g^^YRagryeaI37B}vZPu<tj#)PPGqk>2!MO1jFu{!4y2bz4Q659Gq
z0Dk{i5o3A$Sr;02NR%Dper~GwkGF*@wr{5!cF5w%J(r5il9!1{sG$b5*npkKiR1eo
zNn;M@z|J!-7KtonGn-rLHqc6ARW+(hA@gQ^;(t#Uh!gx49$ts7;W_`e(7_4`^a`}|
zdFQo2)JJb=c6w(86BllzE9?<RUk49|oly&f)6a|j%9>WN{(0!2Hjr^{ZQeg+(M3YY
zz_i9A!4g#I1?9nJVz}~`7E%S4h{}H@DMmdO;OlQS)4P(h!fml{^tUb(-YzA-CstX&
zm8KgKZ6pz#>G@}_5W|LT4Ud&yl$Zn0S$V+?kAyHSZ+nMjFgteNOPnBN&7ozcEIB$`
z5Wjt7TRXR(1B2ftC@-8g1Lx&a8;{)+Kxw6Q=Ld2)QKTZUA!W%F3SxulB~v6cyEx1f
z)5?X~YR6<^51WEtu;Tvka1siTelz}P^5BD4wGO`~O~9b_&6-eI5(eJ=lW2L47mZr(
zntncH0u}tFzA2;p_@K{kU6(XJil*HE8M?@T?-3{E#zy$DCo!d=uY!aQJhCaTPBFk#
zn-)WsA|c)5k5f~qAnIKmYT}V)KyJPNv#KBxR`-^_33U+05SwQcKBdMm;^(<}>MIFl
zg%!^qQ4qzKwa57Wt~Q1vJ9hi(MhW1wf7A0oEiwG^w$@eR_exG)W_0mb3Sy|6lH6Jc
zG7k2%6!E6hA+0A<=!B{e5}qEO=OV@NkH}hEiWMECBp|NaP#F8STjGOi3Dk8{^!qqM
zgF@+ba4kRty@JjJsz^#<>;2h~)LS%2`IZu1yImA7c$7AIosz~R{|>><U>Y=!#PBjy
z#Blj2eX&|X7N0y+3iGGafD(7>t?jfJ=Gl}tUaXNrrHrLV?OZfCZ(&h!w402x(z+&M
zaSEu|QSBhoO@)^ytJ!jT#8K&0+atDZO6b_4A~gSs3W*0?hmGbWFfmeWIZ|H*&ASD*
z-+n@c1^;u&!`f2#Zeb&B$Xpe>ug)=6t*kG((p){mq*rn+D)r(9H9Yi1`mFM6DhM;_
z3UA-Zpy14qa8ryr7V2AB-1tR>8y_QS2@Y~7M~l$&y|00zq={!+Bxq0<{N$a_2YJi_
z?yi$#6x_yZ5d71N23`6k>)#zwM9vK*ZZAx=5U&5q8n{P;?&7(&ucpfAeq>)@eS$W&
zu|LWem7&Aq-2t^>Csc4z$tS?JSqFV~YblN8(&1O4xk=R_RWyluQvFd%5A8l|DeE&|
z;gsA*pKIZ282(&puiyrKEU66p#y4&Z0wJSzi(%?muNs-`aMS=FTvJjSea3)Y<&j}x
z2Q*MP(014B(}wtkyKXeO)C3qmhy4;FC|FDzFId=bgt1?pcaN2uf|8L0#VcGBUklMx
zy(Ou5v-+|p<AWKHe!k3@+@Xb;KWbfHcvA5nMKYPrV*!b$g*hCYwefH_4{6f@D)xL&
zl04{a31yYEzbL1J?S?N!>vvPJX~WSfqYGBxVYV;1yj2I2%exN!XGTTWu-34R1J<xH
z<b7!5UR`u6ap!C(H^SD`WZf?eTex$#Li_%AU9A5w`q|;SA^y<j{K6H<1nPg23iY~r
z$iA&MgRnKg2#)D<32p$_Ov`G;ob~Xgs78lYx*i_R_q_JsO5V<HJ(pr@u7}2|hXQS{
z>EOP1yljGwETD`!)<(?eBH4n7>prH1s^27HvI<!+!MDvXGFcZ7Y#IH>Zbv~oy$+|y
zeiqEH;S0SysDqw5oQHNysUaKV(A6PvJ2+l1XHc%8gF`h^i5rSlu+jUqw4=5ioDPy}
zdugeS`OW5ExknW6CY3hul41wjM}NrI(zS3wUPr>IP6qQ^PWc`bwu6w@AVe0|#A6TE
zW6iJx@-t)M$4?fxa&bM`*Q0?W{lk*>(PB6!<0kk09t)zv#>TyGsbgQyj~x=f1aZb#
z$z{_{7PM~?>Ym-DhNf2k{W(#_ixf_t9_bYiYEjtK-l?OCqqqL<V!Cr;ea`BKHxOWi
z9F$zvtBl((Z?}5Af0+nkn=UsE0uX3k_oy#f5zq5>7X7UHN8Aq+?YhGQ!1X84<+Gza
zdQC(|?r@tTW*uyvF1s*6BuUsdf+CBYj)RkDNfX4<zMQdlXKdl<w!}A9TGHrW=q*@q
zW{kL482$KEqYd=2S{_BZNn*{-v142n!$fdY$$Y$!&5D0n>bvHN<7B;m&C=Q-;-yq@
z`?dAfU?}?Zt%w*I)pYxYipfKSul}7KXL7AT>Z{)m_hM1ZP4pa9{V+r*tJIel4Ol|H
zN^!jAN{<)ZllVB?cZBe@d3sjQ(h{c4(!$5C3*!76kF3p^V?<`;>nY0&3s@r?BYx{4
z2_wB&Vm%svhy|DM<!^)L5EZW4Q^3KG$*RAea92$b@AoQ_$!p9Zz5nV6e+Dn^ezlG3
zPShk}5>nvuuEY#7)>t)hdh_6bjX`Ix?=*2Ph;1{6lo|B&sB|=L;Ks^C*QDj(S%P}L
zT;+O#DFk_Jzw<VM3xi)goYcykBaRQ%=M}E_$f+Eap|T&G7=2;+I_1*>vCM0xIUQ^Q
zQnNe>d-iamjJ?c36{}@pDQsfn`5p$`&KP**pvZ|9H67(9-`P+rz~*th9|KMndE@tK
z4$MrL4=ko};Oyx!*GE0Z(C_x4&uoeV!|GI)QqFT?+*&PNv)#t9Q#4xdrW7Y0+Bh%!
zN`xEDo?M@nnxsS5JIRaRH*sQJm~7&mt2}tLjN^J>A{~yJ%q;)?j}y=4p8fk`^@^8W
zKB;dZO$XhwFkTlsF5IDY{l%yd3FXi2NUJELLCLp@nwx!GxJ~8@uf>D_LiyVtoUSx@
z`qH;s>K-?4Kav+cGAo4L4qHlm#;DL&vLM8k!Go+N*X=LJqA0|f5<hvK3MMYr8RF-8
zvG_)3Mu&~qN*}-XnBqW%!ArkoTx<C-(NU0I7*EDqC-q!&MvXwhU7vf5pM?KJ50{B|
zh@<MZ_oKJ`jlfdgM>;NA0Bt>3dui^H_>x}Up4MXs5hWWpJ{1!}YnBU{t$T%c)fO!$
z4;Vt-2jWp-%ZeXPG%}86%HZMRx(CZ-Lx__oiPK-<pw(cW$JqcmM2_A|CG`fNv89oa
z+#`k~JhA?xUJ6(&d*xcvSpzUU`SM+DDj6#}=HDoXD4~PRrp)Hu2B1V)W4iT?IF?%N
zu)pf5f*wk%)~Wd!fZLuDb2(K>EYyu4??0)EkDiU0M;<T$^RV&+;T5kJ!lwIEuUGme
z%m29C4Fm8RY}3<Jl|chj_Ou&H8mQMA?AkbM0CC=p)*^3Z5&G4}eNL|Q+*GN1mm&>8
zwW?f7F<TyIZH4}6&ue1;a;?Fjyb+X;YIL+#xYp3NE#53v8?{*h>$m+i0_&9Dcm1Q4
z(dynCRsydsYKBG{w8v8+c~yXkOrr{hfBv|!EL#u1M32NjQKP}adxpo{PgRTylS}DR
zG{8-s$IYUC(jcodx?zY<9ml_Y%{+P85ToLRcQ?GG!`_XTF0El`V1WY3mdZxOs+-aD
zhBwA=J?rmC(GCi-<kJ?hfQm0AZfF;eGoZ=s(yx12npkw6x_-4D4a-<-_4b>Yg5);F
zdDW*{Xj%8_M}7_s^Y{uqGV{#fw8Dbh;1_Ky>nqzE|AmJ20@bUl<t^ZV{#7mYUphE3
zpY@n~oQ6tSHNBTgEkVU`f!n)X7yZdp_cb4Ac%}!hes{5k6OR(q-xcYhg{7j5a6AnS
zJ1D|_!!{sr%&=g5tv)`U-<0C_hl+G1KYH?UCOlV)GHQILj}lv3R#Eh*sAJVw!Ep@W
z@X3tXWOf4#aNIIq<!6Ypna0mQ8?YeTT90d-#{l<U*ZXWJs*ha{eGb&UU_l0ha<aKu
zA1epUd6c4b(D?JG3P-SmvnSH~8C&)7<bG0rLzyOWT>U2DeZ>ya9`CV?FV#ba+;PYC
z@73|DFvC8%!w!xN^>msyuH4I9?QHgh3QFaEx+Fep2m6+`MLn<5L4JluU&v+!ba7ty
z<?)Oi)H$wl>W<UK<4t5sCrxP_+30x1uhR}xQ{y}IG_|nb&zWTrM8@0mmKR^$v4e<;
zR@c*yDVVo5-llGYAifTxj0gnUL95tIY^jw7zW*VwKQPCI6}Ed>ULq^!juwSiJyF99
zla9@@Cl(32ti0uvG8RmVT@dN9QbqEQEO|DYzr?1-%uDL4S#baKSYk<vGRg?)Q4{|B
zB5wT+?jm&pXlYrA*;XlF`e{>bP0?0jmDS%pxgh{XyfFz5d~zuIca23~+Ii+AWAD4Q
zi%gI`y82JpF==EMtfh?fG%-W$D9P-qOc;pU{4PmD5_2>&^-~8wGs|snN}8{>g}B;d
zJ-4UH*wANqKL17+(`l6Ji(aG+IG;_^&Y2NKk{%&#SMr0|y|uh6x5yfD57n>gbQQ*l
zlY=r3KK)?IQ?sc<omS8p$o*=9M*y$hIjL_g{eu~-ypC!uX9eZ^R1V&k;=`|%n{HdU
zd}BJfvk4__vxH*@U3Tn`;>ImL^?x*jzc6_`Uku*3X#s7!mUk~|a$>C3+&h8hkIdxY
zfvlh@bMU(V_*|m`JJw4*QG6WT%pBBi&q#GPhiK=Hp|IOa#GT}Cx4ECcU}`RqGJh1B
z!K+*Ul((eM6K0wP`L0oqn1NRmpQy8&!Hq}};!N)>F>Zh9(eYDB#K7*w9OXb$s14qg
zPh6fRrUHeR2gR!ipZP+zf<_bYFghsgdvB5`JC!2qll_Va4__5|#LNU1l=7D|1pg8(
ziHdse%ogIH?$kuwEe2@qwUKbF{6nB+k%`8Qc7iW^!;>@e445tZ^w7FsoVYtReYs`+
zD<Ri&`g`m-W9aC*{BSvSjJU4Q>Lzvb2hp-_sLxcy82A)7xxTO;C2ks6y*uaDO9X6?
z-I1F{hi;yLyx~nFM4@|85_RDh5f|!Jm?cJswP6kI0<VV&&C^z!c9jnhy`MZncrMal
zZSebl!pXzL$}@9;*dbzu)bP1Sl?MHdQ7rAumHpHF*4EobiHEmIx>99Szyp!wn(kp@
zbaF27M#(s_L*1+?gGq(Sgc&~PgCm6D!@R@WnG=M>-KVcoZW_UQ8|nLg&Z9)8W7OY!
z{eOvb9Frv;9}NND589?}9U}(!KA*pFcZ#riy-PWW&k%ghi@Iugj}yPcTl@3R&JY*#
z*!EQ08Nd~4kY9rGA7atlDcm^gAJNs9&F`G34-HF3owK|XL`QO_g)`0*D%^)pNxsno
z{Zo~37sUP&Un9-(6cv_;GIogz+R}PJ`o^ekvza88cowT}d9mSTX6%lfJ-RUFt+_oX
zZHm}_=cD&jH9L|^r>&x2=)l?i`;Msd%n%w@+np?JIq_hlUJ3_A2h7`7gXOJRqQrr=
zJpYReA4Z%u+kI9W+?8b5xem?|5$XDD{1rUNbuKJzeohPI>!v1@A{K}vapq6s%J|Tv
z_-L8Jek~w}^3@a+EfMRFfBMz*g@mp&@k-}0O~`6bGRru{hM_F(>gVP{nEjvgJ*7jM
zaFp@%r_VQbypq~<E1^XMIrS3vY~|5}mY)wL<~DHR)~u{`FFnQZ<JR>2v1=5_mH#?;
zYK#jV=PVCw>m}pC*e14rjubH5F45=zhzC6*-Q#jENT6oKHm*<qG(hjCwuH`gKGbaX
z=c$a8LeH?Z60{l(_^O>4_PUOQsifefnOGTIlQxsUm8t>G8iiSVrG#*EopnS>r5rvB
zE;D_!UjycLJ}W+4D1vroHfw~{6tUd8eOY{;1~@ED=@2Gj$k>u<CHY(##~*%QcOqT`
zUU#QgNz{<h<J3BPZ8udsBGF9Dm96Yg8RSpjA%O?tRWq7Dso~A-Tr61*3V7zn61!<q
zcp&4=z;K)fs{LN&YZF5Ov6CMPN;G9~Imu?2X0M5RXtl4-sIJV@rFoaYDmiSGYpZZq
z*T#?V#_{jGCj2fbTYE260i6x*e=ktbMe(1<U#pU}K}&JZxiL0nTwHt@_(oSBS-#2|
zf%|lzBu3j+qFDvghTnI9lObxY^U2*Mt_R`PJfnFuHSDw)&JSTwk<ahgzE%+fcwIbk
zMdqeD{&W+aFJaNJI{ksy?cGLjxaOn79vuqu-|d}0V^7DalO->z#A&d)#ps6AV@<rs
zwo@sXYK%<*JipU#(!tGZbWUW&L&?`pPmM1aW25Oo!L1<-7;l>5&-|o=zdhDpiOyqS
zf7kJQdxK2jv)zj^@lATTf6+<yHoFOW#?%H~J7o^?I(s-G>hw`lS6FAivI)lB@AU6_
zYYB7IY7Q2!A-*~~aXxO4fd(m-{VnP?P}CN(&R@<5xgI}f)^29t_(GeGRSXllM@zlF
zj~bzfN9D=C`;2k$pWo!4E&$i+PQMsyDsuOo>;I!pN19c?YT+OY2E*r$UGS!2@Q)%d
z-P2SooDX^Usm%`DQ=KUHS5dJ|bv!rQ#{k<cPe1p$U=I>1O>3WUQ!(LQ&RC7T4&Lqi
zAe5u+08ZWFuWM;WC~?m~&5eVC8x3wpdnY+S4t3v)k6ebBaOrA<#&Z>X99oh$ecu5T
zn`aUx()95zZ(|7EUl!kZ(*&3AIe^Gn_F0Z^x_IePZg1%qF+5VtdK(ez0O>4xPV}NS
zuDzK2+lk48wtFufY}a=HFSn!Fv}H{UxocQ(*ldb0e!68rzs?>Wc~xlyj%y&>V?V!9
z{u+WWFaNC3Dtie1c~EWqn;Nz%Rkm8~8fKbL2wtgpY6oJ6SQkFGs$hcX{nfw!n`3?*
zuTkD<Xa{doDx)OtE8?YY`Q}5~91!i;!dH;bf}FM;JP!tBu~fR6Bc+5J&b#ht$rNRQ
zP}~`P<4sa%oOC5`h{6ZPB7!rUk^t7EHTu5h702}0kZjkN{II%Y+J6;0z_7*{bH_0e
zBnCren6)J6F|T^K$jOA6n>h{Q8%S7}V!dc$CIHKWvWc-`wonmVa`UM<H<F@{r1^RZ
zfQkD_`CeTcs8#-cRzH^w%dhUX9;FLFz-y!4yYAM&wL7Liy>FKAUg%>K50c>S;6{Cw
z_!aKcx24eb{~<^l4mlR5ks$5DY3G<KOTbax^q}Nl#8LL^L2QO3XgC9msW}VCZM_sF
zp!b0w{uG7m`p6F@@@EfzSY-jHboG_{3ksOG_K80jOyP$mLy7aD7tLXbkE1+fOB?e`
z17AR}4?hUoxpp%q%s|FZGE{0!FEd8!aV*J>AL?{f+V8G6gGiA(es<&`=J$<M?|W<c
zA?s+H?Vf5=aL;|3bV2+N)2Yqtj7}6kJmL$uqM~UEj#{tu-fx&>j-1*PP}0B;YVH!g
zsTWNkSVTIS>@&l3+oYG@%_2eaA%B%)q9!mjA@w24V2;Tm)t*)DA;GW`kN&4r23*TY
z_B;M#f%)=t1ZVy|0pKg`c8L>Zz<R|e<%&m_nGgS|+>O2}2ySoIFNRz+hO1i~|J%vU
z4gpDV^*?Kcz_Y-6<}Sq;hMlQ9<koUPP{{2=8UiA~X>eb|v5F3d4Lc9qI>!keLZ2^u
zv=ap_vlGKx*U=${skXzumkWrE@soTqVsK#N!>_WVH251FpwMr_17B`%RLSs=;a8V^
zQAH*Vd^#tpHr?WdI}ujVyu#w3Jji<_%8CYF9a>73>ii&`bs*pmRRSve3rcH-s1Px3
ztjk+L0-u58Xx?y1NW9AZe5jBLnPrAlO+P`9KeOTS>9<l)sl->5;!lOV?-0?iB@Ejn
zC4Fk0WZ?Ja!8LSkD*UXpRC~cI3U^)4DE0No!omhoL8CDvsI-^Yl@$_$H@nzT|EfF`
zG%j$-6|D4%-s;aW6f$U8)ih<tDgx9#z9$%L1ZCk3dxF-BL)@!FHeGSbAejH8+r-fb
z{s#a6|Njh^cRbZ?7>Dh>cSiQ%IL2{~8F}t=&=MLVDJrQbih5I$6_TBXGD}KUvPbm$
z5k;wxvWaBxkriJ5-hbWC=ea-M>wCSuAGm4oPz0t@z03-m<=}Wn^f^HjEoi*z>%U`K
z6#6(cKLjkwgZamU4=x<i0x$DideA9xxVTE?bx~6UYmbU&r$e<M?wS1j#DoN-gdJ?V
zdPxcLa!b&e9xafy!bt3KlHl>(G??^W8C2t*_Qz?E;n0w}^TGjX&~Q*y-KD4k79W3j
zd<rB(cgMS~1H|o6sVQfh7^w=!42*P~CdqJw^^YYxuN*uwR|=e6CBjp_By$@tZ5SEt
zUU(@W5AohBylv-6V5=ncHd=@R(n=!6+qNsfA6H>4;F~&pjAtSge4~K5qud(@sv@-9
zs~9gLXu|anLHGGAD!5~uDK(Z#z$@MV?(-Qfm>Eg29Z1)K>c8a3VOM2vyz)%o93sP~
z6ckCS(uHxWUTVs10+jCF$Z;$p!@$Wy40dyRkW0RpJO5Ax1R9h$*toUfNMRK9F3kXT
z<@9_tN>l~G!?}5co!W3;FFW$UOGEfuR&bLXMTF9^6Sdst+E7-oC>Jhi1Q8?H17#OA
z@K*}{!nR!-J}tlHaC>A7nXWzRhonicR_*<At(FY?N+}un0w!Rhe=AEphXhKq9A5nf
zWUyh8zO>CBLE`Jt{_lM1z{*@cYW`OfjAQ<^{C5FBNBis3n@AlLjgoG}$!dT;8$)A1
z8x1r|WCELZsKek=aahf&8cc-}ZfHc&;7p;0;I2&)L@MNRlAox8?Vfd`^i>-8e@Nso
ziz2~QUKTEOegeeqTRYvbpAM{)>vp7JHMqvym44Do5!$)hr2>NJ(9k>bR9jFDOtq$6
zB-`acjWIipCy5ShM;AN91&L6<#5{I6LmId;?kdeB(BZ1siQjdTDxleY`p(ptID8{i
zux19*!P{$KuI)7eZY(54oVza!*Km=tQ-|sB%5RB}bX*zA<%sw4PxFHf=kM#u!dr9u
zee74)6@iu8$mLxE2P~%(YA5PwaLyxebL5EvtPF{BUua>1HL>%1^4)3RoY(Y$(Lf$5
znwPkDu>3<(S8}`;cxh0O%6BZaLKbeW9Db~)vw)KAg%2Ib1fXvB$@n2H15*bY=dX%R
zAUBKUXTvmr%9!x9fn-UzCfqqNnm2$Vd)uymFF<ffz$#Y7R00xAl^YgcwIK<s01u-9
z6L1SjM79EA;Q6NgO!J*a<Vxic`z^fnzwV8a8SEmk>$$L4&jOC#%GS1u?A-~ay@~n4
zYC@p+=BDzF<Pv165it2G$QX=+j}h*93&1bVVJpqwMW|sq%}2i42oy$w%cFaF!6`b@
z;#^$?;#;U*t!6O-Pe!5j5Ls@ROWnHwR`1a%bcU8@xdXNb#1_(Db3noId~wf^&nQaC
zLAol@5Xiadk1m9=!LGKWZ*Nt#Ac59xur_4?4zIqHAAHUNjv1U0ubtY_-V2*bM!OAw
zX4NmK$iNJZ7Z%(?{Cd&y!Yg0fbba7o@%0sY%m}58F=Lcl1L(Fr>knl%eQ2_{ntJUl
z1GL*c`1Gjv4~p%g4F_G+1DlOU%hg{t(EHu3XY7xUBHJTFOMBaNVc+}_juUF@sLWAk
zvuthxHC~Q*bZnO{d^+dxR=H~peM|%~hXXUnwWWV4zFY?$=kauzbgUxQsGNyL>KxJu
zC>0qc>p-Uao9)rtS5fB0Wa~Z33+T`>Vva!$6~fc4AHRFCf{u}CuhmulqUe3iJO3k5
z!FE;G3%RYJ#Y)v1LB`9dNsF25-fIfHzsn;H=U330K4<8_`Bjv6B}6_*mjdylf=yXT
zE9h6S)}r&9f2hn>GlGt5!%K;4r0uM$C{F&(ix}}uv=?U!ZnDyb>Z8>chf-J3l_Sqc
zIn4|(ODXQr>?cF<q15`n7uJy1qZykBbtd5V$NgNq$<S;6O6B+Ye<(bxSK2I<8D{%}
zID!Pppv21-+WBZ5X?e=Uj;OOj`oKLaZ6__jKNyIo{oO#k8?pDXb~flb{#P;lxh7O8
z%qG{HF@T^&$=a@$9Pr<sAb-0V4Jf*=s_;>j5t3yTt974nfph)UlE3B}5Z6#MAEL?x
zr#BV`Zx!=^LpW`@J6#>#=W0H?ZO#nzyJtf!H~FCa#f#I4yz1~RON#GyAPb1raqhWO
zB>?_CcN%{OkU%SITX=XcD_9R#%NB?Ufy=i6$LLKppe^o89&lubC;v7Z<D!H?efONu
z({MGYk-B0i!paFVGZrnGN}>SLRceP6)!^Qjpg(`Ub3setfra2+u`OQY7D|35f^Jit
zgWXpi@Mx7RE3A@$(La$ACAW#d{%m?OVTlhM`;M-a)Jnp=`Zp!o)<jTpEgK8T6aeDp
zYqPOMX;AQ2vs%(3f`$GAvcQ}mFy`D*aycvu9#1P)+f|8RcX865WG4)E!=A@or{$na
zD^FQwClQ`anb4v-Mc~%2qYqQ|D}ehK<?y?gi7;oSzut693=R%xxVuy<0!ilU)P;{k
z2zH<EbfQZ@fXJ!ax|Ygd*K$26WtSQRer0`om?#N`DN^EPQv^`@N^K39R|6f1gv^6f
zX`pc3t%!K83icAl$xN+VoG7l$ayYpiN>ANX-aMxUr|wD8Y^T(LJJID%qn#Z5V3o3~
z(^H3cm5r@4do-a5zmOFkBM)O&Z0==nXu{1a{{<+GX+g{bRhPFv6d(#+ST=6e0z+DC
za@RN+{6b)&O+^Xf$EUhGK9Hf&$7`LyO##<$L7GQ{l!27tCFyuy8)O^OzuVbRL3(%d
z+n8Sj*dRo^AK6WTXL>r~ULSQJ^q^Mr17lUVD<d{@rGo;FIeFzNr}f}EuK=%M3=!)5
zJ`49FDr7z46E2W9fER!C_DeUZ0q3LaBORBi@L7VBRKIQr-aQU~`WH!1W+dwx>P&^@
zSEZ=}lSXiDfk2M_s}A;iL{DuBP@%oWjAv+IC-kZC-sG*<fCQyb-oyV<ph%q6a8DBg
zqgB__y(cw+|5e}D%dy%Z>DK3Yss*5l&OY2!rU~bk;we>U$q*y67Sx$Rg9jf1^WQgU
zg0iqwz&<8T_<X4oMo-eg&mx^>7OM#q*0B_=4mGHJ`<Ug>5*-d0tY$88YeM;@56SJG
zTYaIFf35GVDFlZleJn#7KqvIqRZl6x{Wdj2Jl7N)$(4>S+Uj6fF|9G=DF-`C^iM}L
zngaPN<J76qElw+JpSntwgy({*B!&;B&`Ym$8Sx}S5$A`b)^%a{hngk=Q%vEmn;-km
zpDJM6&&=-D$OBpqlxx==Oks9xc=sQ90w|};4c0R;L#UYWvpgnKD7;;BXURzkECT&T
z+Z`5B&PRbeU!TxH>f{tPE<pkOxSX?}8}=f;q&DsaWjeH+eYxS^DF^kz-@ix(HDZeU
z+m>!-(_nS??|*z&+hJjkdDiWa5zHLuaw8fvxG!0vg>g$kh_7<g#LqdbTl2!;U>-nw
z@rk?sf5qWm);l%%lqKx*lX#jF6~NcvtT3C1D5O38S)M(-is8#qxx23*m<i5V$vP(l
z@BORa6W0G>k{6mDGu$x&Zg-~Y_&@w$thtTiCAWb!#w+I6rR@Y~a!$%|H*QdjXw&Kl
z-@xkmXrkjEjNx(8(2bH~>~L#GTR4aN239`8Gk1R82vX*z8h_<8!_`pE+_33&OyV~b
zt*aQpPhty4qbma>ip2T^Qr9tiD@(QAXSTR0eSB77X)E{X0_mxT|6vYqEfrcb3}N!|
z<j6B@5pi2|bThcDVfz`m707c2aQ>_xWl?4pQ6Geri(OyE4qsg_9HSdRD_`SPX|^%M
zUS+Yv`^gHHl4E=~@rgb}n>5FS-~&kixzmqFEz1~{-|o`jq8`+n7rxn^(vDP#_xjz`
zma(n@m2OWvJ@_wukW_j66MB)8Be3{l3A?m6E_rpU$37OTnWiwlLNPm~Gt2iZVQ=Fm
z1Q1ad^r};D?{q7}9P{a~6hxP>@rORj98YxMZcXr?Baa)gvWaEc7M>-HSZ;fSz^emf
z`%@*+Z+~E>-(N}&k(aOyIsUxMAynu*(gwRCyD@uvK{7dL346RAyz!oq3Zj2Sf1JA1
zkEJphemKpzjCHckNihXcAm?L-+2Qkpn5%_-oo?PT#v?#?7G$G9VCJ`z!6w5PHT&~{
z;K&us$HVGyca%0XCOwxpw=s%wJp4FtCSeupGPON?aGN%C-H*8IQ#gS!gfT4}cdlUt
zRo{|MzuL;D{b4m;=ch5jcS-x2E!VNg*W7#9jL6Wk`nNt$corMue(HI6X#*Q&`LuX3
zO$+{*<uQ-?&S9S(W;c{vWWYnYT(127p$QcSn~Vb%=CPG5tz$25GU8bRS*6zmG{Iv}
z@vQ~FMa=KoDb^!dOt`h@!hVB88sO+;xxHL&2^)(%_+@mJ85hW8P~4TM4rayGm&|*Y
zF?X&u+0IL>_;^B!cjGt-1iB1fDpsyyE~9eyCb`-1r?zt>4l@$?NLjFKzWayWJ$p=_
z*1~~{eCLYao2~}+hiuI9$2TywI{lmbK5*gXlHH?AJZeyG8}~TlIRl<@TU)eaoCnWM
z+BACTM}&Wi>naK3jQIK4ibnC>{P^?yPKWm^s=)hFu_*KaGcNM&SHAg_0KVXn?Z4Mw
z6?%w%jhBD0;CfL`o_CH4;VtXjOOgVr(0FL2Ch`^={`JBy$)Q1EoZiH-?wG3r-B+Ki
z(e`uT-0oAI;*Uh}b<>{u8%I@uae;7~WX^@}h<<Z^%tIX4(%Z2pCaeNgx4#?~yU2t8
zv39S~@!E!uJD=RE+eZMG#m-y*YWeURVuZe$G%5VvPPGmyMu6bto8lXp0yvLG_gzEg
z?f5GVZp&ZA1R&37y-4R1!nwnVGRynqaM(OD9`b<zX8b|R5plx!MOv(;(`$KLB{MAZ
z-vR+LH+<IL>5JmOHzw{MS69R(ZFY#2nyYNRi#Je-K^zxa3%D{}tAy(&Nbdbor2^N!
z*2p_gO5n1WSI^se6YzMduLhH|Dr6LdzpiAE!l_HMkzZ-5_=kSS^OzA4bV9SQ^zD$r
zLn1N^cFC*ZT6^M~nXJ`7&U#!WCs7u+V2+4o5md)b*W3B^(@F4kk-2k8KpsEPI;pdl
zOA~kLsEVJaYd}LpXhfKc0$!&d;j_p{#%nl=ef=p~Fkg_If2=_fuh+c!fMJD<hv@aW
z<yVq{ppZt<GE~O(M?O7k9ni+DGkx55@KL}{FPlB|&DP%W4*LR1C^(;n;*OPQD!5!d
z5qXWMiWdj&eqZWJ#ozFII1^2D0gffj$0rf-MRB>;lvygCWVksMDxnWmA&rhKj3iv<
z`E?F!nhw6_=IzNUaYNARX!;qrUmd?Pp)|T~rGx8sJN;sz7(rh1hsn+>8hEKe@%|YB
z9ei!|zdE*KJ3+=tPwnCbO}w>gY~N4-73Wfmi-aw2y*Wi7{8rJzcSb!Om`tMJ=nNs|
z>PLWBdHwzJsap7ZkF-GR^V)dfJ%@L1DroQ|_<5pggBC8g9um^nriCAftZQP9rNd5B
z9_N{-T6klTDU<sJb^NHy{vC116f{kaZ{JYT!b3|xefP;z#V<`*_&2^cg%$?g$`^K;
zxR>Xbn!Sxm_%btTZe^Pp97d@nzfCl7W21>5j$?8-=gIpD$LVI!kwGf>`J04m>%NX;
zJRyl+c0Xr1g3Mr-M7hw+K{Z^x?YE1QyD*-`B-EHAZU*0jGbA@2s^X8;^Wrj3ap50&
z%wBRdnZmDC%|kj>1e~*dT-KXu6YD!iZSK8f3X~%%{|>Y&;Y~dcK0ntO#bP<avWM2`
zkd(do-~5mQ-ko$X&*n}oidE#}(FmYJao;m%(xx2lY?2bxYd?w7eFG9dt<m7tY}u;s
zzU}x6TkQ@FzGYM(ZDH1Ml?KGzk9Q0(Nqm4mMV%nDiQY)hRjN+`+$dkK9d;4Nvu`;c
zEaPE<nUnQP0&V~<Z^;$7nF!u0s`f7$XNCv8w^m+!M-cbC>pIOz5Kn(}m(AiE3xtSg
zT=VWW0nyN4frIY6xbSuJ)KW)Q_^Zt#U_HGPqNAVWwm#s%^SXokkH)Y<cCE3BHP24C
z-FTzWP@4sRMY_=+;>!xbT6~;_RAZpY{JWoR%z(=cT+aSv%nD`7k5(Tz8-eEW*NY=g
zD_Br-fcB*U7I42o`tvnu2fPZeaNlH|$6gCzN!-3H!1b=8X>YF~bU$*nXDc4Vg3hs9
zONp|;@Xhx}E~*#;LqML1?Bib;`?P>gXbCeM1=>`Gw*kbNu=|{__=+XQ%bQ4_V+QKq
zyG6cV_2HL|yIwed3>x85dBUj943F)q>wHN1us5cw(!BL6lIjsD;pSw9_^5IXdbA#>
zclkv=xX_Jk-nwfFFfxPeCW#^FuP(gjV!xa!If!mF=#LV_n86-B<zI5vg#_OC-1=Li
z$m!MuZ~tCqz)DLa+<xl7u^&@%A>LC+CiRl#wPa@Kjc6!(W2pm0xmC6jF|%mY+jDwU
zkOf@N-^MZ;s9^rxj)n4m9vLkCo>G0q0vFQn|JB<^1(HAmYjpo2^2>?cqi~89xQ_YC
zS$(5`ke_4y+}skH<j=g;xswgrNjjuIM=9V<VIK(DTtR|=`zCx4J8aHN$ow191~!q7
zwBLOHkp7<vy5l(xaN{TLOT3{Ct+iHOda4`9M|bDLZKa$*4;pU#E}#u(&DJmikpW^J
zoea56<_2C>TT?uT3@mn5x*dBNp;&mYX!(yVKkKV&4zVO}?eE#(c!LSJHoF4lGWp;u
z%b}jEAuagsnRlVJf*GQQWjTs%1z;boW2w_v3m&Zb8y^s4h2?FvRv*0t;rqzsS^bnP
zE?*3u9`R=b??u0Qmn<P*QzLcyZT0U%0kt!4IXU3LN9?QRrZD&!?hkt$q5(UQn8;i{
zCnV>(Rv)<{3PiYLmcXk4!xdb?H8;88{*Z6a84hvCTzcaCZOe1znA)SSxbebZ%Hj5N
zxCA6$7IDY-tAlsZX3Nn)ez1CY?G!Cp5~8rnp+@XmJ$}ecbhuvt6n^UZ7C)7S-#%_0
zCw`LPxPZBNyrdBHY_qy#)wmrDB$q1_DoJqb{@m2*i^5P+ZZwe;D+hbOd>OCbnlHtF
zvFmLY0Y1?lWxghPumGR)giaE45r-7~PKm+hzF*@Pl@!6*btwL%#Fqbzlr{ykOF%`G
z>zrzo5}fMqL62^#gUQRL?y=9?V5*Uj&c;cAD;d+qHXIrt<16qI@}$62JyLr5p$dF@
zA5(kxy#|ni#@+7b%YY@jPFgvc2-@$rvadiB*l(JR@wLc8%LUAKrd17CHUCpS+o=Ug
zyUqI^vCBh3fU5s}Uv*$x^!#P}lnfomo8RzK6(Br9nXg|~6ILEFc=P?I4P0CuEH<u+
zpk*R5t6HoDDv6XsHtrO#P5-M9kf8*ZBxpm&ACuwM!K0OK;Z(RJx?87WR2h!{s6OXI
z*M^TDOXWfvb-*f?Dy2eF0ndc2=>5&wFzHpT=t0rjy3>;HeJ-jnC?#r>ZM=2&iL#R0
z%k|-uZ)wb091#T5dK>M1DX{TUSJ%tI5J0*4V?mZ0RCwCPrG-)8j#Rk7yr2=-^Sw8C
zy2WjizC;}{2MRC<EhT?%F$SIfr5^d~>R^-hw#I&18|16jKT+dMpwN}awoO_C@PuW_
zQB!S5aS8Obmk0Rj7oevbp#f*iQEuijGRP*f38{_)$VOuywpVGugL_6zHeQ<0K5|>U
zCY1&U|J~!g@>&B#YI1H&HIaai_w*+NLppGlP1asNp#ePQ2GscxRoEe!Rr9Za4$n!B
z)#9JkA&dh#PyJAa-+whord+1Lm$DZ6W0eH&G_zji6e(<Zf8RXS#1wv>b4+_Mrv?u1
zQoB58vhcEdD5=xh6uyu0y2(`#A*lDP=;1Tlz~gxs%P*QKSTqXUcyvq^qWQby4lE0U
zy=39MjD#r^dxh85^bp|Ui?oruWIi}=sjIEfMu+lGp_W0G%Ah>h5=YHog-GHau9Dky
z(Br5PG%i#GOjsi(wdx<r?$epLp+JXOrn-U~;tDXSVUu?3*$i?Zo;j9WN`pHg`*@xQ
z%7I$8_x^<aU8uOgC$(r74Z^M%))r680NIn_#K^52j68WL?$wsR&q%LqPOVGAw7K_7
zcm6I+QtqN$#R-6Su2XvQx)QMe+90Qv>=5=q09{nx;@aaqZ_M=*L}7<B;rlJY3G8lt
zWNpcm3B>1Hew8B&gVtw)5WQm>8^3djIfvf_%KP~5C@c%WPk-veu(=sb@RMS~nBGoc
zvTdo~KgbKkJ!9Nc`)09-x$O1dXN)2I^e&ut2N%SA@<Rt@XR&X8|0I_^F#-=Po$z9k
z4aC-+(gWgVun%IJrw;$v0eI!;Gu~BZ$QAr|&@5;gQ|owp$WMF+NJ!^Q1lltKr!v!e
zMermRX1D4)>tqPSY6G-H?hTav^Iopv!EubFyGQ%PYXhkMBkv+LyMn6DUivA>GKz7Y
zEHA#yWB@BCwlme){zci6_Rn?}4q;bn+>iA-=)*2$Ykm@W9@#!qQYi8m#Oiw_iceJN
z!Fr*qrK{%*!nv(?57Gv(2ov9=92q@$7kBi(``ahbqyv{=n9eV(=lCw$m=IkMc+=xj
zwlR!0ul=C5J?h3xjGFc~&FTPK+nf>G<v}#+UQHzmbzo}})0fd{9dO<kxoi4lKhiFp
zA|`hKz<QJVa`JytVVkN}yUgt#6tYNBA}_XJ^=Ihf4AxXAIr6ktpS=U|{Nk_{vTwrL
zD3lZIpDDl^y73}I=La&5?HaY@XvC`3N=X^}C{P#?<xscKjIwQc^w@rX#LN{gzp4JB
z4NQuE%4E)cMTSl)6%qQi*e9ENnnpHT{Ni=%>3!FLFf^c8v5I3ql0Lm$=^=w<eh!Vd
zr4Ie=J5%tBUWr*ye#Z>Dk>O@1rqCZ!g9<f6nG0#9m|~HdQNyAZctrbOqlaSXr1qSd
zNlyVL{nVH6QA!JrT1x)#9j`#IH-)m5SYBh1#<uWyw<Z{GJ19RXQHrp=rkr4$fyL}6
z+!4N^0dRhlvN2PL5^DWQV`$H?N{OBBf^XDe<t#^q$FY1gx6C4TW;`CV(WIALm>_}0
z^0ldO|JTULH~fb3LL?R=HRiCcK?3@%$jVnT*@$BgCF|jWH})h;?|Rx*HNbBc6yCr5
z3W>ySZ2x@M0qNbGpc>#rIB%EXpW^ru9c@k5CO!>B6;AqPNdiQ0aC_8$wj~`AbZ<q)
zbVnnGr^O0+TRBT%lUJuzJVyi0W{bT=57D>e!#Axl6&O7HbhwoLIdVvFQA)2#M8+@f
zWIM{JKvV5nl1yG28rau9zR~d%dCDhVd*@Gp(h-*d&5Se@#cQuz*!&!w>8kZQIHU|T
zrdK01BWY-+;{(fd>q|60GQzZWKpDEIc~fB?&rufpzNwt)OjOg-cOVs0f^9Ah#Acmz
zWMOBe{zxMiU80fqC{mQb^4(mAli>?w*&sb3Y54}-<JP=)@s%Rj-!5|9d-Ek)o9Q7u
zlq*1(yLaR%g)OeC=BNH#%|JXa+P<ra7oi2guU4a}3Xn3G#&fwm6EPjj9AncjK{@X%
zlgH&0V8us>Ikr3-z0wHtd>LAXcAjS&JMcmtESqdXD>iabwWb{3EYDk1zk~T8lZHH8
z@Ij7MyWXIW17^n#HCLg={f!StOXXnxZA@K3aXt!TRZt&u$5B50Klxd6IXL5UDK^%+
z5S<FEC`^{DLCQSOm^fa`f_3@z=LQnRNF&jgKW_d#Iz;)@DD`tY+#@>cDT$P#!KY`d
z1UKrCbH)>kzs%cVtnT_-k3Hq6l#4#Rfa(!<rOj1OeHn1;7Bl!=@fNK{m-`lBpU^Pl
zVC4DB(jZylsmkN^4prV+Ci@3}LE(MLI%Th=;A~q1=kp32CFqh4saiB4dMKl($($q<
z7QOX%J6nS$pF{_<ZZ;#q)LmHT4oMIxQVH0ATEv{b)Yvfa9nJshA$f#tgKxSWA~Dt<
zP)Vbc+{)SyM6xjR?CO+&<M$6pj>Xp_UyqX)Dh{-xu_OJm>=X&GzDSgblKYHq42T(w
z4|gJ}g-CN-lsF{He7Igd^96}^5TEEa^dPS@Qs?!i#9(5&*2g@o30+<(w0_|C3;p>*
zIKy{X48q;qABCB<pg>Kr@0q&>kdjZuZmUXBn5<}K(4({>X{P=&6#5`y84i&gA#QO(
zJECUM_9qfBl=M{g9zr38GCVDbBCz*XQ0unxc63>mr$A$31l0@PN9;l(K)4<%THw@$
zhAfJ9zk4-~#3M%=!Xky?)=QT7v_rk<;sZtvwc;scuwFCm$Sn*;_SWF|<riAv%anKG
zokalwb@>U=LZJ30ba>+F07^Es6q}x%L&nbI6?S4ma5?j|lwal`nn6n<LVSzJHaWBY
zU78@c%{5f$PY$8~0RRC1{}h*bIF#=f#<LZYeHdmiV`gko))~VvN1_l3NyV3nEG1OR
zS}3%T79tVSf+$;5qJy;9Rf<GPB3VjGLjC6V*L%J1^<3w9pL3n(bKiG9R>`gLo8>;g
zoL3}lC<VJzlkUv!|H8dhJxjU2><>5QM9tsWW=RNht^DP;W}M6Z`$#KcW`SGt$oWmm
zZb{(NdDEikJ;h~p9eLG7S^^656UXifOG5ZqfN)#zckc1AvG&9XJ}_O*f1I^T0@h{w
z9(}U&2RB#QC3t#90QS~ja5Z==4$ZdKNu$X>xuWiFXH1Njf>4b@>QSaR&|*q2xBZ^w
zZjhPVs#hlr#AUMAS{|-|))M#Itwn#htLhhX-OnrsLDof`!`oH>{|~J<qQ#3`o#DE@
zd}ZSB>%7ufjm!!NPUZSNiCY5sCnws{<fXv8Y)bgUgc!WPo;02B#Sgx^-5fU&888^#
zAr>(u28Ah+$B3bVAe-w|FKa-6Hj7&p6_ge5UMJgt{$wdU{BO1*BvT%mWe9}Zr&mC(
zqh#vFZ6Y9dP;}bEN)etC8xK!$#KF-`ZK%*#3=U1I9s9vnf`KjVD?eIFK>U6eOZ1Zf
zL;QZ6&ZU6pO}@#ht&&i3{)DGhxD=>%KWQY0slw``-AgxZl7cFBxDO*p2KFrcmT_N7
zhyTu~|99`AG<d$QZqv#n!0sneBg3oJz`V&QsoF#qqB)O_@AxYZyXQ<)ubk8X@l!jk
ztv1QQTH@6uQ8|i`HKFz9v-C<>s;T$+`FA3mI1}+XCPoS7pFV5(`b-CQp6^vOW|2Yk
znRa%`CJNl1^j!VPNf*Ana48*Ap}=54e+f-c73%hxRbq!8Sbq*a02ft3<YLMCq}Mdq
z^{laQpR)lR-L*e4D}@1xhCbU?K4Czq&iQ?cFAYJQKj)M!Sre`j6a$pn)j_WMX(S7n
z@Qv?*&`%p3xKwZt+dpf9v%{w%&IuO0j9q|8Nj<QT$>&51X~Sc4zR@?S#;|mRNQvk)
z0IR?S!4ITW@M(5frhfw)a?g9*jvrt`@b*bfDKTBJWOpp+Tx3Iu$Dbt%+9seMZ9AGj
ztqYe8CGzgNu_1Nx-Y&m9GuT`ikx8x6gK+QG2<tdw$mr3&QFR7DxIp7dx2--Hmbjj%
z7iGcezkzN;rfa~To3&o>hCVpH-lTGT))1UKl9V?$Sc0~LZI;0!eR$%=pE>2O4<Vgg
z2UuYR6cy`>Zs+vDZ~UOR!-G{|awG2gQZZ{-Ni5rXjie7=G7QgW>onk&SCG+@N^7Xl
zbM$z)Lk}V@GsTW071H#UO%({OgMaR$zc=jBh2X;2Uv9tU;O4E3{+9*Ufz>>ro|>=<
zaz=a~dI~NBex<#aGHR{i4ZmlT)Yp{|9KXw?<LMjj^*82%bg+i%o^2v7Dw?n%@m<xM
z;`vA3U*_)L&a#4?cJgb&P1T^`(f69@oy$>?D|RF5<65}ya9><$GYzUs1K)IilSa<g
z&YMokYhmYL^q+sx6fmSLQPb;@L$SlP>f>82p>`yyIVO<=w?Zw7R$Wm*ose8Bk*qav
zAV$+f(n}6FF*1Hd5hQ#s{VKg@)B^g3AI$Kdmx7n)wzOpDk+GKEKbo+{0zMP-6|2{Y
z!eWo+-?N~EYp?bH>?j1FFFPi*bTvP`6-w8ridI5mS>@+QWq?mdg!oEIesbMk&re8%
zDIrOJb>T5C7t*;7PA=~TxxFnbPpGd~LZDiGRNiV1<L}E|s~@yHTGnkZ_jidB+6!NB
zJCJAw_GX!Pi%rKLl{{M0E>uRw^Ua#?na?<owDO)r!qwSF@zIVo%XX15o#0>KpumAW
zO7~)KNiD(0r=l&!l*!mM9@{e*W(xep=Y3}f1dz%1u6pwr37<DkoY*#O0w3Qzi#)t;
z8BTZGr~pVnx4*NWlTbg}?fE_r6FBN8>{sh1irJo#YYgg0sBqW+k<=g?9OyIZhg4P|
z$!t#hQ!@z@&Wg;0>}5lr<8;O5n-cin?K?ZQzmZVm-JINaJ~s5Ss}d6zC9&b(*+}<Q
zWNdAE{+pa@3`4TLQCiZ{NFL(!yTy}nRc^UTp|vp>8H(zCBgo*ir%`*w3>oRrLh=8}
zg80%8tXeTyJay0H&7(*qJZY!dU{}lnce;?N;2&9x7%rK<te}jZ=9gZ%?qNZFf{tD5
zAOUY}y>i#2O&Ohw9B=09vtaipE2-*6IeZ^V_Vh_p!6^Ht@7wuV5W{vkvGlq;4*y7c
z;$cidQkL0@>bFb?8foUcnn1(@`<h8Tw<#z@(%&*$!vuo}hOJ_N0#YZp!x|kb_B+{L
z^u57^-?ndG6+0>-F|jZ>x15R_G!4w$GMR95^X#ydDG38L%CldasiI%<O+Ru56GqL=
z>SDFX$l9B4aIH-hn_Yi~EzM=Z%wviEVr3;n`8D5jyl7a|wST2|ITH;18zUO!l~K{|
z)oR0^G!)meRgUOj0^e4-eZd43+}Q3Zl68`fm;Q4vJ2K0J2OG}}#xJL!hsd$s4<rU^
zr3bA^)nY-AujY-`WD3qZRph-dWZ;pepIr@pEEp0@8yu3PV&r!CV4<gmj~k!qelKHz
ztn7h}zb{bny>U=*@*Op7AuCVz3mJpZvU6=>a;oV1lsu@Rs*c%W?_G)B#$Zz>C%llR
zibAFC=%1jDDrZ`!=UR;6n$U~bNNE}_e>=Evy;mK{<XoXV4jV404KXOEX!v{jwt<a;
z1~PNs+#auFgO*NGj`utbf2LQQnpmTOxiT*Hkp?DkXR7pKnKvC1udE;*cG18cmmQwo
zsxkp-j$@baV>-Ujf^gjp8ra^|YJQbt3fxDX(&I!1lExF7K5J+oQY%k8HkyL^lLqff
zF9rrqHka{_sbijG@0qyu9AJN~vU1I2pg#Uf%}P<nYX|y?lg~M@`c9xk+G7Uh*m}sE
zR8+^aD%}sQtjxf3qweFN0S1ni?aOdaQbVtzB?<QT%)n#u(GHyv27U^Cu-}{ayhz?}
z{EcD`XZ2tA?dGjlX1=vaTgAW)OFyPMN1H=fwbJ|wUVXkm+U+18I^MWjEHl<(4)+fI
zITM`0z_<sikG)HwVS9Z;Rm^fO(4v3mv)mb|I8)RwP_Bwk+P;siGvz`!y|r$qBm*Nh
zTO6i#QgNI2-Lco(xUlNzl0DoiI$Dh#72GyS!58^|vNZ#^u!bg8;jxj99imoIsge}T
zH@<x6l0O$B<`3A%_0w=e(A7&72bEExjmmtnl?$pr&-$nDq~Xvpf7kGSGD@A^(ACJ>
z_ln<V@$5lWv<&<dm+D2rf!pm3=OwxD=Cb+sOIua(ftRMmGJZu&i|CR*(Q6K}k6j~^
zJE+JqDYUG6OvD29TPyi9%prvRDu35nD$1+p*W?z-<M!kan|$rfLFHA##MpfbZn0F*
zE2@;kJuiK173a<1$G^7vRy_)C7@K%6Iz+&dTk;_xSIwZ!DAYl6y9(MpHV?EjBH*5t
z%9f>T&7eW!jCa4gGOFmT<AfB+qGY73p1=?XHXk(}vEHMEQE~C+R0~-Yzx6OM`UnRU
z#B+35C&-wyU#<GltPFDRJn$eAIiRneb06-Ku+67!{&cGhK6ol+Q(0;X+hRP~*M2CX
zLdfC!)wMEs`_ir%1shY)4lbG5vQ`mCL)bUMpUa@+wXZK0KA6B#t<MC>0tFQR<k3Nz
zltIDYd}kLUO`yQH$7!940w%}0eGt-;#Wy66+G2SVI9@Apc3lw>k8Cj-Y>bq}{MYR<
z$#>cCt2}a*z6}vuT#Y+LKFXr1%2#!wD;tC_Dm`7cAdhV=EiIMX2`KV8_T0lcV+iob
z)V$LmkHw=W=bn!cP&H1#`xB4PhOdWW=CkBc%g*7+fp|GQ^5TcsPdj7q+L)D8c1j-i
zZi1>s19@EdRd-_3JPV|pl0Kh4Esw;Nq2e9W@_62U=*RXuEO;E*w8=b29w%0Lp75?G
zqSKMbpAYdkbNC;J5Y{A*Cy5z)HaQCTdSoDLsX7bPt2A~GFUsTMo;7F0lN3?&YuV?J
zuS^JwzB;mcJrPZn%S6{E^7<|GXh^k+3G3zeS^do?BCGaNL*Q95j#ZpFnwZFhM5(N)
zX-Nef+pnGX=Y|q)O&u+i@?t{GoihuCXB6<}mjeUrW@R*Y4dVXa_YJTGSyg03T(EdO
zv~f-allMPN4bfnN@0FYXWj|0v3>I=tyF@{UZNv*41tz!#Rp!6+C1FEz*as6+DzZzt
z&IB1IY!Ln8UqvJ1e9fZ7(?Kc@+vQWj<d{(L<gs_c1Q{RnIVzZ*RK>~SqV|3o6IQrw
zR^Rbh3B8ED_C5wQ+%37m_MRydhU0#3FuAFW?W`iwJKp`9sf*dX?>{DpEx)zzRjLYV
zECkd4B+#+z;0Z6+Bqro7>6h)dqG0pC*`Ypd21Yjp9W8BQ!oFF{XQU<y#+T?tdA2c7
z%%}Kd4$nV^9)HQ!T1Q2%wK;a`yVdZ@E58Klb`~6}%oG@Hrecu1<Xp~-8d`cgU0qhq
zf?|PDGl`9=Sc!EPMGvXthmb<iNhM>j9a)`W_(By^J`r}D9#O}VI^s&h6k{k`ZYlHJ
ziH7^WSNWJ(Yv30Sd*Y`E8$yUHN|ZWiXi>aH)GkE>4fVcME=^{G|JKdmZ$-xxo6_H+
zsDZcq%ZDfBcs^wJo`%i}9+%b<11PUG@W#%JhvU~xKy>2Rrw|^`SItW^vpY1fJHu6X
zj%CX8_X$%$Aq-rSZWc<rrGX{s=-kz83ZKsRhV$1l@Z6<m1VKLyl&ib8L(rWAB4umb
z<L4OoU@RnV%Tf)jcf7cA=@$;fcYKvO$xy>#y`i%!64jA$wq4yS$P66)gHk_o)zEm)
zOV8=AYKT2@18c_3psd6;^!_^Ddzo6^4VD^e8(WH%c$mZ3Jq7;@95v)T6rVa3$lE`j
zkQG{Q4oriN74FJvc({CrLe4ol8hr1M9wBfcU$9}P-vk5Q{Ey{rDWGBAKw3o=kGB_C
zS_z>=47{;U`_|qnRcxjFvK39@g0}mG+N-V%{CqUl=>}5KuygCxqs3fsx_@M~?+-fu
zC7y~cYN6oGWeWo8HC%YxZn^w;93A8K6Gd~YRq)^eLEDIXTp-`SN}ds-<M09T(jQ-x
z(8a;K(cwB5<j=Hz?LA7v>-H+dIYTmf{QC8&F^&r+TFX-cr&V$1Tn9nviXuikdj#q_
zabZX?%=D|LDsGZ2xD&6bfZ?9iCnR|1@_%sm;4$7@g<Y*$t@u_R)8966r&`Tn+o|#x
zdqXM~Txn)xmdT+<WFUP<q&e(Z*>s$fL%{~yaNS3x1kC9yZJnT+LyC3qLHQLFOe%lt
z;qyiox9|Akw7kKLmpgk-jr>){6^82Ds_3$~NuuScoQD|{^!?uLGo^$NCP}s~=`xsX
zVqot$!{fa7-s60eWHj@2o{80w!6_BL;NBA)Fp>&2y1hWc+~BS}>tSgu`CYr=E{Ov<
z(Hm+O$Rzx;W@mfSLusrV3tiG&VhZWc1cVtpzqe`j{wC8hX>16O5FX;1LQVR<PvYqc
zsOpm;XHzeY8$ZfvRK73)l1;^%?bAejdsygE%a}C2x*U}HZnp{iGXB0kWG4}qzs^HG
zZ5cdtvs-6ufemxXrTgMW<Z)ZCWQN-@8D!EA=DDY_!RK1U{Y$a(sGIV>GH6N$yI4`%
z3v}6FwW~ckPgfqLdM@832Fc>U(^L+-!x(<V&R6c4k;6Nx<q@0t2xu}Ou_83Y7<Q#9
zJiON`hbuo;#JXH3V1Uzwl3ICV5Y6=$G`lZ{&+<Y)?b#-WUm8Z29cW-d<2T!~>%8xe
zN1s{9P~_24WVUf8gas}E-x*nLa;Ttmx&GZxc@(6+f1Izz0#A13iD$fhch{G=1ojcp
zZ$KktXpjj3-sdb|u9C-Fr5+XsI~7phQ2wc69uv-*zB}m?DUbXcodmAFQpDcEHq*Pl
zOxSF?cT9sfH(f`nBCm{)Fx*gN2hE5Hdj>*hnrw;q+?KTGudou1rw!Zmi7>%5`|FPn
ztwhu~(4b>%tc;t|&*!^+HUeuAo984i1zfhUy*mA%3Q7b@A0W3Ffn8G2;4(o)Ea(m!
z%lMCi+e^7V#rKSWmTPXe@}44|J=N*6N0^G=oANWy-7x}|qsy{ik-VHU^&a@Eskpz|
zx7)SU2#R9%M?Q2Q<1J1wcdx%H`qa5j#Mc;s<F#*4x>^ad@(oC_$}}v?qy=8<G6K<W
zlWsjq$|yKLrPB9`hRHei%vS#}g8B~9f-q49Eq8_8>N-Wo_PPx=X%r@06g`q3C{Dqq
zPfN+6<_tWz!dFCZ8xy>*btOBcQINfg)}6%T$Dc9@ehXfXxP0(;_dOLVuDuRQ8EI<x
zH*4jZ_tU&OURSfDi>cTbdhX^619hxxT2T7Ei3RW5K6*KusG^qm;~cXlb=(xt5Cyd?
zAYD~esDG-8hXMuXN_afqRU*jIHZ+EPF;hgEGYyXrm!}L?YT(~)u`R=QjbXS%RQUE=
z8p`oaI;M(gVoSYg(OL^Os92!;L3cWKujpJ=WUGlMuF-7TUa?_z%chKdujy!!u0LqA
zR}&9L-3_?4&jh9h*6mKPX5fgtYoADvCayCueqSwS3gc51C$I5%c*=K1nz%_5MGo3^
z#uS@E*@I4t`Xy=@ZSrB4my{+R2>rU+&5i>up-~CHtktmIcT%h5js^;?$bR7anFFVX
zHW^-sRKvY()4p}u8hAjH*8M!f3=*<8@~_HPLxtpKmdh!1j7absyDnr73id<ORYhtT
zpCaR`)uM*Gs}0;8j+?_b;nFYh`D(aarl@Rant@&u(Ul%EJic8i)AmVJLlgUf#?L|w
z%&kkl-s#K*DJH4!qN^H;9oi<QBSOc2#-}eS=5b*+@#eEvQfip@_tt3<ej4gu-cB&+
z<3f1@^}6i?2IkdP$b9`tMQdY5MB5U8it)GIr#3NAmnE95GDg9eKab0_MFC9QoO+J*
z(($lC&Xmbh6*S{Um;M$3ST3RE?&3nn?J;k|iraWTmw7w0fLEu$)BT{|V;ZU)Zx+{{
zBH>)(*4MTDTv)w$(MDgJhOJ!-GJ|@GSg~il^}`}AY&VV1T6IPhL+n;71!od5cxTMm
zA6{Pgm^rwrZJdhXm4dIuwdHXs$tRkl#Dx=S>ju4Ssc33>P4D6;0be?)v{^kdhmU2c
z^U{SBOqPhtEA5m;@-Klu?YqsvIj#0nuPD!NIhcrxev-k4sfqnzOU&WPjc;0?KPn^D
z_g3#Qstm@JEu3jgHG|sB$o2S831_uuB>fVl@!k&O9pVf#xSFRj(0ZMW<eguBWynb5
zGv!9p^W_|PP?Pw9noGi$Zy$=)G)m#ux%)QW<{a>QuW{VBL=hK9`m)^8q%iRB$D+f}
zO(Ci$HRD6O0`~6t68$$`3c)QTDc8jmV*I0`BZL%i@L-0O(*-F!64l+AK4=08(sw)B
zHxZF<<AyNR8Y!GF<$nJgXae8wS6H(v<uT(>M@Y!L6sC2H_w8C_LuJ@Y7~u8GWU-(-
z(n%WqcP`|tO<_ZJkL<Oo8ado-JLXhV$NPV|3xm>hHXJwietF4D4r{vR4}CV5!43iT
zF!P}?xGh?ySd-*%AiPe0vP%X-Oh~(=-Hc&Tpr<I{D=+`_U$``PNERO^Qoiy3W<fJW
zIH|CcfI@u7th{sxX#T}c+dGQ|Y?|KTyk-L4S$nNCe};gYbxaG+S+QU?l2bC(L%_TH
z{Azr8x>1m%e|Gc-6F&2u*ljRRz&FlKu>rjExu5E!KEKI?oW}pEB=qD^{FPElWHAvP
zD!sm??_k2$0RNrZ5pq~RI2W?NQUQYw@z2#!nXun*s@mwa9KJ2zcb(p<hz@$0$8V1s
zL6A@A?!LA1Sd*Grx9tZBS;yXV^;a2zSwXpXJ1<8#X3?HM)>Oh6vop~xNk;I?d-KOy
zH=dsEsIQyYr;Ogw?8}P*Mv&{yS?9b+#B74O*s2B<g!eB3_?(R3+lQZAoeBjMSas~2
z!#N6am%5||tTBRZFLZl)!xeFC3zrbf^UJQ>h}JHS5nL%9ywTxE!e>>NmVD$_#l`oe
zh8Gq_Aky7S*v%qis-)lky$!1P^N@<J2(Nymmvc|6wh}%HM|$6JUT#i$I4QQz2wv@~
zE92KyMqdl@m$~cd*gLXnaPLJUkS4j*w{TUkP%|<2!*T|i2|URx;OW#C{>Tnz9SSnu
zUR$}Zm4TG_C$$>lOvvvp?%nl>g0yLS)p{OpHfNmtZp6zAevi+u6xd9~wsQ*`mYAyJ
z(f#swCTn<op7^hFig!;hjbthF52+(WES2K$@)!BvSlZoqRh&oeTem0;R2x2^{3M43
z?b>hkZY$C7)OlR%Eue{1i*VK`-55>=r*7t};N=!hT57;SO*}oId;A8E|B)N#gbFR`
zc*rXD-Mtn~yzp)~>bfHvR%SVSgtgJpyOwyYSx5^zYi*v>XV{?kUvN9afq^#p=c5m)
zXkoYpqyBHU30yjNc-*a#frGwJg(-4cC?#cFS7OJ@*I)e4)@Z4r`(2ytkr7RlXgsIt
z_Qw>Qt|Seth*Lv;(`!OK7c?>Yoa4cv8ytA0YqgQ{R1GOck$lS)HPLY8D~`B>83-<3
zI(F!{8eVOAHja@RsLOOuOyT+Ys616~D_M0c-}o%uw?-W=%}*^gIcg4)TaOQ3QBcPl
z)y)IR@6^!g?G_V?02l7;e^U5!nL0KKgv2%uF|g%*MpRWO7Y>YzhFiW@Ly>OTAG>+_
zwqK@XV(Jx-=cU`<iRJQg!brQ2&jT99j8{A<lmIx-l#u$*P7TA>mI!`JQ^i^%$vy!s
zfJ#|m+4_$RRP~rf!yqd5_FG=@X9HLU{4Lh;V_;d_Kcegg3a%2Ia}qTNc(eS+!<l|M
zrf-chZQG@c^215tJPg2oueU)3)^wgf33{1jOU4cncgkN4fPb%V5CpE%@LRplWqlXk
zyq}B@?vMn)%wt>H=T))l<M>kF1R}b&cAW|Tzy%qXQp;9*Rg5g3>2(_B`9s?xfzubb
z5NBBBl%Gw-cbTUG_Z%SL5v`Px9yS+r*E4DD6BLa5N1>JJ$zt-i8<)1fHix1+&1+MD
zf)81XtG}qo;NRW;qSFE9(4H+#d$C#trGB3Xf5(x=45#jb&2wfzsH5iSe^tUy`7a$V
zCP?8fmA(POF*B%`?XcFZBIEgW&7_<^lGwAs?sl4p8Q7)-#28#4Vb~V)c-@PVsBwwO
z6+6R$(wF4@^y7*c#`%46hpQxB37XlND8+#@C429No>IVmf<MdFSQ2HvD0)n#nu6NK
zY$3gyL>#$Ztf#`3L@iF(j^zrba4_@ioM4|kTD3YiSn=wNdJwiGTrq)r!7@V5YVvsI
z#+e;Ek|pt^&s53}h6!}qH*1)k<n`<7^``CbBvI493SQn}!$jZ0`*Hy}w8|Qf@w4FR
z!avBo$YI0ByL<jdr4jI6SPDgmrz3pV9S`TX8pBlb7W?()yj;YpzVd6GG?G@Y%HHB-
z3|qIoY`eWEi_dm!f4z1@8eg1sN?Xq3yq8BqI`^e4a)=3Wh8Z%brJSurNM*rRLCV(n
zI$8Y2veAWYvKYU@?c#Goo)3ISiCz9k7U%Yc?2+W@f|8!T|IxQhNIpVS-}y=w|BI?|
zIv^>B!j4lWXXBZWF}hes`74W?$&!W6g7Vl=YNff2$%OL2>{}zI1YGR>?Q=(%h{l8a
zS6WOM!NKrHbzaE?RK7P|ovfsQiIgHvX^|0>hFO%EPZMzBu&3wD8b#b#QM_F-$OwMu
zXI?f9kVB<EMer_+gjZ{Gx6YdwK@?*=MDC{?Zp)VtW;`O}g8kXR9&sbMK`}g*a$X+K
z*|ptIBq*aDu_p??8iJA8>)Bmvh&aqVA#oy71&fD_1X?={;Xl#)HtPiyFpev^UO$ZI
zqk^=LlF<<CW4iBrc%y)&g-YddY##s1tS$QP8$ylzmhifVib(d_CHQlRDyFqJ9;&W0
z1by*|t@h<4oE4rSoNiOace!(Gc6AuSwW`wcm(^tan*NdeFPnzhzgAYKj2prO=fB@~
zwklznjg`TJU^>3({B?Ll&Ircd*09?qm9d=OTijyFKqd2?L(4WAL99r9ODoU+M+lcK
z`6#P~uMaq+g{ARysy#zF>J|mdvPaFWKd9jx)yFh%%m_Xlkt*E2fr{#zn>c;f)iLPl
z&S$j_Oc>B_K1cpW#p5nNo>M(F@TdrRO;<e=+)nS_%;a&WV<OhYQbZFYH1A$Xw`4(!
zX=>9aHVyB^C~czWYNE-})PTb;Sul7~%tzxL4Ye|}B98L7Ewqkcb}-l&mX4J^c^*#3
zruBZ|qQ|r_?fe#dngSa-MlYQ5l4PKq=WKQU6D|B700030{}h*ZJk|dn#qB+>c?tI#
z_g<H*d(CUSXh@2bJzG}FEa{t7Qb|fnlog3Yg^UzlB^5$Rg=CLPiH2m<@BaRMzaNkH
z`kc=>&oj^QuDY<@6htOUBYkr;u>IHuxs#K0ytP(JIy>16jJ?D<m6a)Yh!8xJHbh6c
z98j@Z%Yrk0V(N=$DR@hJN8pY-bUYVuD9)Y799SC<U-g-#U`w-^LW46MH?8+Nvh%Sy
zl)p|>nJ}j!S!x?+R+lEe$#BTH{+|W--573-j-sN1_pc5+vL<d0oE7oVw1j_!K~+BI
zskmO&Yk%q{8pbq?_q}Vg1XTq|!p=-8`bIoC5#>U~6pF{#V=pT>`jmNM;20IFy4zAW
zT2qi__iI$Q&kFu_T0VX3Mn&~xKQ9Ma4dgca@Y$aP5J@+OGD#{P%g-&}`CbhNZWmbp
zw*g=!N7$^hih`IfDp-4271v1njqKbFa3;(?`I{95xA*)k-?NpByCZnJMD_zXxugs`
z*J<E-ON&_}0tuDkJh>YW0w{P&-zrwoz)zRE{2c0)@WvZ^qEI-%tf38WUyM3V>~HOR
z8m@?qorZ4BJ^-SstFpPDso|58^?52=i1?ni>D4D|fZurm)()a-=vb%Pcf?l?|2EFM
zTu}mex8=9uD+g8N_aHyx$(KQX)F-cuS;42<Do^6ika4DFy?L*!G#d3>?v78if-4)e
z6$o7<w5U5CmefqZg9VeJKM7Xg8+KitQ;LL}gyg(+izKnH=)<Ro97~v}`B46;P8rX~
z?*8=iz69F2?aAsVTS80z=bTfXO8B<qa)8rcarD1%$6?@_1@OhyJ^dlN3L9U0Fkws#
zO$p;sGs+fl=HrH>%r^>1CFT9<Qxrq$OG%pZ6?5=cKXBWtiiq2_h)<NRiDJXdxg8`K
zb09}<$;>H{$5l;7-57gCk-KT_8df?BHWC)!+1JS7VaEQr>(QdvSLw1GD8hn0?u<`!
z1F|Ubb%#uHy(n%P|5>x~lo<qjjWx8clEq9fu63sk#8BZxyG^K&86?W|UTZ%fgSYoA
zl#u(y@bZ}`JG(SfkTqZb@8Og*X5Ifv+)*x$TqSb9Y@|%Vke~9vB2pUbMCm1|&Jy_Q
z&QI>zY!k@-uEyCTEse7+B{#h%BydXqk>ejt6VUngENs403O9Z;Q_(&ti9(sy@7y04
zgFkO<v2?x^zW(04-p-tW120>=RGo|=yVTS^_k<KW`$$h%b4p=(s8~_Kv=OxI8a*kH
zEQKD7zZrdRrO@&-cN{I%2w*D5ru(uK?qj}r%F!T==N<(|^643YaLd^D<4sbSTjJ%~
zUL}Ls$Ld2b_8Wr7ueUpKNeX8>4*m{!AdCN<nxyKd8p6oR*Y(s*(%50VXO(1+9LlIo
zMy|0jgzN(GSCMz6amxXwr^sJ<oGJZ%ki}sLLR*@x18Fk&<f4`6B~u0b{Qk?63oT5@
zj5LdV&E9YACVjy-#})CX5r<*-c_v8d>s(FSDvNC~rNp-rt5BL-C;wy+6L#>j5<+?8
za9G$xG0IgLL%xhyxY#mbN}khxQ>z@V_47V#+pB_!w28b?T_*U;gf;%imq!H!{sf0=
z5-JFet4^shVZHy49i&tuUeI<P);dncoSv?mYGfw#eQ(+ybwU9bymoAw^-)E$W{B9K
z#f0&NkC%flDWdJzu;dAr8vbxe!%!P05Vq@?JKkG`L8(#ak1MHTmT9AjLLd`7-l|SB
z#+0zfry@h0O9S`Gq$OxyVZtqKO5OlT1p}>};<ctUaPI0cf$alK&`Q>R)Ne?_*)L-2
z=UOQkG{w>Gs$&RTe~29;!z7&e+kV}tn2NRP$6utS8-gAy^Nf8u8I|rGe^z#whNnY$
z&N^@#fuEyDZJv!P)=a+K`^82RnR_P7a*rDU$*yXdG_Q)oCCAOrEokCt-t}fW3dYdb
z=v>oQqK0-CQq<Zm)A7WN=g7JSW1w2+9&mD3$I`DHDwh?t@JU-Lu_n|6h90`cP}%p1
zo~))X#A~6{#zCuAZBzKN%vYCOsDW>7Lno;XS{Ra?d(-TfDa1_f()-Vpg2AB;T*I%l
zup!Z6hS_2U3Q3OFmXLzR{c;Zq?`vTqCnkDiv7qD5XeO626^|U$Xcvmq!u!Gf+OPMS
zgI?h1;tjTMKecFX<XxoWv{Hf6eoG5zIIVmU#;6!|o|P-Lm5%cdwVn?0S%Md#s^p|J
z4ILt;wRgm7;zyq5*xJXIF!`o`_CB44L1RwQ?Xfg$%d3-pzt0MmMx-sv)M;p0Of-A!
zPQ|hc{_c%j0CWv*(kD(D2Cn&@AtXn^JD;Rx{_m@}dB&&qF%_>Yio^#rspFG%MuJ6b
zKUWi#_^KF0MV_{u2AZB~$f&G!d71@K;zE#r`GbNyYl^d*zmd^9VDPJO1wfPcyW-VB
z6tq?I7Ir>KLayPBPKEUVKKUH)3C}f<Yn%1p3AWC6)z2p>)dF~|9<D%k4&@GuYy56d
zM6Hg>Yd*yQdJZqbYTVQ@xxF`cyAu)p<hE%aI}JeAF4RstqlRWTC3Ujp<<L{sF1Rlc
zAggI<{!ODQ${*T0{6k&_CnGxh>&yUt(OM#xr^)DhGXH{;ixmFbTj7(y2N3r9nyxO9
zjQTASg(;nqc>VaJ%0HP_z`M|6<6uX^nFl$gHAxak;~&2FTG0yH4t>|f6=k#)zP{FY
zLJa+P?wo#f*%E>|O25j*DB*3l>O=f`qPX9Gda*{#5~_Zr4jJ&S!Z||t6k}KzcQj=_
z-*MCeL?3cQP8BQQdOka?;IBex8}!^z@25GW**UKG?IdDNiN-#PqYx%}h8%JBH-~VK
z=)GD-@)*0{s9$MC5cPCl>%4f&f*>ku-4=B@-2ISIdia|lZXDQhHqed*wJFP0+gHot
z<G%PevMNG2#q{6!s=*8%o^?$*<0ONpAK%bCn=FJLOO7#@m}W3Xp!zkYOXIq3;(l)>
zVf?fFT!MDn6s9W+JhDDZVQWaYVfTnIDsH)U{xjVaoa(w)=lDwD(KkV(3SA<&YOH8P
z@0JM+F6RRM3jyys{-m!S6-AfLzXR9ln!rab*;i-J6Ht<{Z)=0RIKBj-b9-xzA>LER
zSk{Svjnn=7872}~w<oS{YK<}EDN`KzsRYdTTo5w*C4u-grucV{5l9O~8B|LVQ2hEt
zg79NW6kC;le{hcxd`_3!l^{z%#=Ry!-aG<sOTO7O%4-DP3sGm@>JaefwTVcl(^B}h
zK(f-|h9TT~t|VmTO+a4_F)f=@(s<@zxXu1ehT!7+h_*GCfY&mfMXbw`!Kd!CF69eM
zXc{LcH2x$Y_4|W;1NUW7w|{Mz&n+e#T?(Pw`blATRdap%7dfnMHxv4?n;rF&+2qF`
zq;S~Z*7}n^5vzKFCO>L0A;nVoqD;6n7H-HA@I9q~=8yg}eKx~@aayD!Q&t9*Sd^-b
z^NI-nUOrGq29W#Cl87&5aL2g_r=bH%c%GPaxcCYKwm#`qc$6cHhg&J;;({t@uusC1
zH-Q23mt$_LC&=NKFk)|`8~eYzOpxFSWk8w7>2Tfs@)$$3|I1*K@m&=8WK0kP=+4TA
zYGR4FXvcYFJy8`GO@-aog)!hozqaMROa<f=+4Mw^kL{ys6cP6%2E=rR4fH-$#7xhi
z5yL-fNMTM378Nnz!|RwXYknnk57B=^oKwfMhJVhG-!VX8tFhsAcV#^G>bKA7X$`bV
zD7^SUo(Y9slY_bURWLQ<&c(qA3NAl>w%Rd-3EW?uyY()T@PM|<?8^Zv1_ha^Wpyz@
ze8#YEvlAKV(y!A`zo6lTx~4mn^@iXu7#mzoP(}Q+excy5CfW^cKV;Ko2$>)0sW;xL
zqFj&O4cTLKe0%e^`4C$t2NOx_gs-Y0>q>}5n6(zNKwbKXyfOUAUrdhnQOC7ODqs3X
zwXlH8yOr|J7>K#n#uP;j<h7A%+rCp9V~2g$85Ws<R;=C?p;sDs?nGZWxn3JxB^h@D
z6HTFXtIg-vhbef_uJ}#yxHevOILCVCZw5;R@QqKNiqW};-mU$hjUwqq_2o`1NdHik
zFJC}K$rz8huzYPK+i|77u`&mZpbysRvNSBO$zZ8#Yh#%4y{s553n)+WjMs^zq3xB|
zblpTP^eI^%A1`hR=6#!Ka+NepRSjA2&!r=8yGKRsq$P}4eG6ZFO~clLvtMgZX=26K
zj6!mm6}0Z)Trho0L(#Cya&q=Gd}^-VlCc`VnDUs1ua1U^x!GR~rzrSW=EGXf7y!c+
z{`+BvXz0W_;Gi6&fytEmnZ7E3zg;mBp^7xjyg$cT_D&5QrXk#5nC-*w=Z1RnsOWd>
zM(2W+Dk`&_vTrQ|JQXQFZz)K{t>5dN+e%58((&FnLeLtj@=Citds6V;JWYjcql^h0
z&ZS!X)*vUlX5FPs4Lo1Hypz*K5!2&8Eqt11=Z;0uo()gckw1(^xp74vPk*<i^Y;T-
zaHfgqeN;mct^F?cY|dTMrZ|aJ0+7TPc*3~U@J{WI2mgkokmq8ke10N8g1SxRqC8ta
zw;n`{ew0LpRoOQ$TL50#_Rct6GTJbv$C8aDP_uuvY$rcJeQ}h_8g?#-D#m{6x+se2
z0!i;%j$6Tsr*iGqZe>h--WN4uE{qQ*+KU?JEy4QSEo~z;C2UBQJ>Kgph<jH2PS@|S
zg!I8(i{unVocA{~n4RUvy>*Loms>4h&BhOVwD=X!F*QG;=_4OjFXo&a*R_BqKhcHk
zJbCnN+pwpD#fJe0P3$KwnZq*uU4^i-9QK<(Y~UQ`#rsE=1@f0!kQH`cBTPdUU6R~A
zezx=Cg#C_P6T4XuV{lf{Oj-v0LORmPzj?9BR6fSD%M2FJJsXK6Nh7mOrk>xE4+rjg
zJv?G=1}$g(t=sIRFe>kg3uA^4GYl8o9+#OyS@Wr*ch3?qu|#OS<!yd+HBuo&kl6ZH
zjMEC5lf-~alb>2H3E=jOg*~q>n*epat*dOPBo1e6UF~&E5Z@^@*C<Pw0RP*@oR>V3
z_|sVYPiUtQMq_kQ+IeH}z5MAx$vp|QQK@Y)R}{gD<<Bo1WsO1c{RQrtSP48MwejM;
z<Dz({Qotx9*9fLcBc@h)OQ7O#yt2Q9I9{72AHASu1e0$`Po%d>;Au||Zw7mQQhmN9
zuE7viH`$WE_(<ToIK7lYD@l}9;%1~f8^X**-Ydch68Pz_%gmwy0S}$|Ss*gU1hF6Q
zGJdnqL*iQC=`)f-PJuXSiwjIp3n^aO@=pSNm3LPz*|UA!y+r*0iwW0CoW^^6ByrBm
zf5|XP2A%)AohtR20WzWTN4#E2;;L^S-2%#GQ7z0iKPivx&mB^VZ(RvEJbrh}-X%Fa
zkZ3V%>CJ$w0!OP&a|GO+-N2{hOT=NiK};u!0XA94+nXna#oZPxqqhq9>C4B)7hes)
zaBkY~+D>WwJLneVxO)}8AH8~Rve^Lcma(?>n#$lxtY6G?0cETsq(%=E8h~}r?DulE
zPD&4$lvOvYpm{~l_M|fg&}%Qpy@?`+M*2S}yW2?ECX_J#<d^|CuCAGDW65Jp_xJBv
z4QxNAhF{G+VE`WKoJ2|h5uHa2rk~ZbdHg@ky`)S75X*KF(kW8Fp0t+7{iue=XbxM0
zYuW4cdbh<aC}KGreZ9F;9k2IwniNbLz;ax~yrZ8IK0a`4RBl8A$>KMH<|zy)w|1Y+
z?q%l)X8*W6Pr<ut>jhH|F+g&YNoBA;2{+{IJ)a~@!)HNvjRJ=lFsYfp>+1>$lL8+c
z>s8dml)^jq(d-Hyq_cMH@JllCpEwoSqe@2yl~snmADK`SzwL}yu_}g@uPOYcpoN=O
z8dkzi8^Y=7AN~6h)lkvR!B^m~7IIplZOS?$=)Iu6S<^!ub-T=R*S2V5ge$MYJi!>g
z)2=jK*3rO!GNj!J!K;xNB4V-ahcP^Udg+4aiUwL%-TDwQwi=m9S?l+Yn}DAN|F)V(
z6uj+2PnXr!!N;}J7EWWP5G^|>Qhbn#zEMZph!#31`s^o*;|rVL?zXD`RiNSG_A_5y
zC3SEp+1aV-4+~<C)P$uJ)6n2fjf#8GYLxx4AVJ`_fYFyGjy6P1%weRTX#1^=|FvdV
z{S>u?7QsoKqkA=R#?(yjouD?}*j5`z60m}s2i1<5<Z9yfoBK?hhUmEULeX>oZ&r{{
zlpL>Ariq9AbYsioHPPqqhB+=jfMd6WOa?A$VvLD%c;hS;v(JaNoM7{ObhBTUuDd4o
ztdR>h1`3u3B)Gf&16Vn0<1sT&!;$43=eZB5qvVU~tJ;RvFgtwCgC~lHYa)hBlGxut
zFh$fL-rX7=1$g#)bWyQiRNnO2I}-lBz8Dk{Yz>1grDC_lsn}uH^`=Qv8A~>}H*^G9
zgWlEDWM>l!E`~Fj3STOqm&6*KAvbI28PD-1I%weDzsD;MRLS94o%b)dnplJGch-lG
zF6#Iohpe~lgEX#*OY)Hvv4&W~zp^FHYS^9Jro6$0fRPK%BZ_YTzI^Oc;dWHT&#sCB
zMamMGa^!HqzDoeXg}wS4?8ul^C1WQZC4!w6OLOB60MCvvlQ-LvaO=lU_m|cSBFk38
zpTP}qgz*BJGnMgC#oZG=clmHU*=puypcPd2hVh=NVfTgD$E2TyJjgn?GDUo139A*O
zmE684plh=4S^*huY%9q))2U<$gATttPFN7}?eYxows}sRcsZYPDB1$vwGMwxE|bF`
zrF)?jW}L_j8ug0oG6%5%Y4W(4EItV9DldM+f%laTk2PzW!=_oSi?N@i**srAeE$Il
z`kin6Y<ipp<9dne>2*@*nfw0zwNVaqGqdm9H(>_Z;lD!1iwP)W+jS(^niJ!8%htWJ
zHG}*UvkgNvk~oq@&kujeiRTnNjqA%zffy)mTre(yqvPU^yHmJuMBJYdAZH4h^=XTW
zdJ>qRNw3uo<VNB>F)!X^6KMV?x(@Wj@oD@q@i+cFsMTz_reWR~hF-nf|H()UEz~~W
z2|vn<&v?W_%l8_?7R%NrO%b9v<lnUJUp*gI3LcC4K4}E$LUB)a4~k%<%7JrEVgk7E
z%Q3OU-v~lGE`H7XPXz0~>^bx8upsUf&~^X%(GcWVO#6_vB6w)uY$6AbFg9~VaE*o=
z!kxE=o0d&QQ0LG_dBb86d@m>lWh+ehQt~?Fg@*_}iYUEY6(EMz#_{6^&oW`k<Idg8
z0udaiaZhroO5pf_szwZj34sqKs6kSq$e8IcIYyF1Udb~vA0IP7<V)aa$}Le8*_i+A
zt1bcKay9KG{25TNS=I339x;^q=zAsDiQU7-BFC&m*}m6sQEBHEaU|E1{xFV9<BPf3
z?6(gLKxB-s=7f#}dV5Z*UFed*d95iAn+OBQ*fP|4=(z-*+WCjrsUwFS`%QZ}bqt_o
z(EH}*Xi40rd-gZENFKE*xi@co*N2?Wdb#Z;1PoEWvb&n0fH&Thn7(V$hr{X;kt*U+
zsCP#3Xv%v<Y}hm3xg|p%ijrpId6%Tnz1p@uFh>cCayNy1iq?nfR$GDeWoZ=B7<|=!
zNCktl9Cn`DsSkpE9eu{qvbc|B)w#QlglZz(Va}fV5PNv<pudeA=9g!T%_A9Scw<&P
z{Pf{ph^uJ833<%(!kZ#&u0Oo!XgeOM58|xzy>4Sf97+r6zBR9gW_fYXH?z;P$2+)J
z(Nz(7YdY?`ku`9S->zt$c72HHjZ3y1T7?(Z=)L~Eje>@CuLO@03?MsKeQ7988Gm_3
zayFz=kqvyA5NZIbTkPXD$&*mWw)+5o3k~}&B-NG<89?Bg%#quRB#akxJ><BgiL|S+
zL452!MabFy@y<9Ib5jk%r8TvX=}z_a6kx)Drks3Ck1A@L-}ZTHtBv7SPY-T>#Dw}K
zj=h!7)bQi;G9i^Mt5GS}QJV9DA+(AJkdCq&;Hq}RsC-i$1e;$kreclYrAx@wxH1hS
z{CD`rz9k(zA{r8OHO?5i3KJjQ&7dG>BRRtPv@S;Pidj>0-UKGHUU1$#K*gQ!4#;gA
z)5UPL>h|h7Q`p?oVV<^@h6#<lfAtr1(R*)C(U;F=aMgI%dz-&B{0~ES={(UzrBes3
zQq|0%*ieU+pQDLm2?6!xHoCYe*DCmlmj#SJ8hBr-L`S~iva!(!9sFw<`(EO-B_vCE
zSARG}NAt6)4x6{F#-o%R>vVSSAhOFq<ZU`mO<$E?oYq3R{z^J}0&vX5uDf1GN27AS
z!ToFLxOB>Wc%%z}7|zX_&Y)x5iMFuqK{VWGAfr`gU=2I^whJlS(ea}G<;n(s3a)f;
ze;-S<2L8ro+r*ce_`_&u<)^(m-rMYbgL&T?Hhc8g-_zB^+UH6-kLaqneDcer`Fm?n
zQ-A7xaSsg(^5XPKk|cyJa(9xZtYIW7+Vyub702c&&?CPJA8xM<_ZYGU?w=kNfhQ;!
z*=;kw*-;*cyS9HVePRuPU2{D>`!#U+ckwQtx6+uK!X?&`Wexh18Q$xi)v@Bi@*Va2
zlE|O!-@RdnHQWvh%f76ohN9a2M@5%JajecmvRug;WZkaST5+hNlby^!uALy7>^)Wy
z{0bnyofbi3=U=ST?GzOcUX-2F8>o&47})z|lp3sp8DW0M<yE+FGt+A@kqThfUv!jY
zqJ+YSHA7Pr{xvC7xdrxKv4RGoedZUEB0hU2UEx4kY8ueq$jlnEgnQ=`a>uAdtaoj^
zR%5x)lpc^i;-_T^b$f)gRkq0C`x@CqZR`1_Q*IUy+M_IB;zG@uysI)8NWWeFRODBa
z#;M~LQjO;DVU&;*DJ+fWNz<1slYTZCJF7pC6E=sH$^?a>JOVyiYT`MX^0O(1&BF)1
zSg<dZ;(W?o65G4f4*uf*)wJ<--H)6*W)K2_x;ab<{1Fn`9{c%MQ`w(iF)#Vepnqzs
zf1AG;D!q@{<xTqCWKns$)O5Egz_mez(Lxba_S#0}%wA~9G#9%v_rwHzyDR6NNWy4*
zu0Obb>tfT7$$zdqbQ3V|E~P$wCx}JF!2A2mmzxeJ40J?aForWZ`)^M@6~MJG^jI6W
z{cWO$-SpkaX$;pZxErEB^CM=J7B$&%;6SxuTtbu)tmD{k<Y&c?Vv+k?W8>KQ+r1}8
z?z16yJGIlFKjy>V`^%ftpKzg5+GK&OzagyB*`lHn$%m`{sJOYQ@ZjLst$#`5Ojr)9
z8&$FALwoalLfsi&d>$cuJtT+;ZJ$|}``F`R)cX&lrTH=H_rJcuSq8WYlqXlP*SSaS
zQ!uFzz@a7r=~o;B1Vi>2?r!A6T5p|E+aMu)Enp_qA<h7%rGXBw4nO`}m~N_LiC|Q9
zOH|qo1E`HYSh<4y=zAucuvSM5A4Us12G|&Y%O&SBp@RY#lQiTUMwY<hpl+A*WBPFV
z9@lr%ErRIkT=3h?QW7tnH4bn;r4Oxq$9_z162je@%R7&S5l}tgnuDmZKD;Sa?5f!(
zjKr@TrDZizc!ed_Df3wm3J=q2E>wvizaNC0myyBK(`$P^7V1HE@So^n6){vey3gWI
znk-hUzTzbK>%sJgm!F)g#If>Lt6&aU9v6>4+r`w;gSibSf5_EIVB+4f5{+&mp6*H7
zA<Cf#tv%v5|J;&9Zqw&0vey(bYt5mH-)eNBjmF_@RzpCNr$E)ivq~tvU$gbYQC&#R
zmeOx~Cxu&U1&bx}RIp+^@49M$E{IxP(!C@pgQ_{#k~*eH_;Bx%pzSVQ*iiAjGJ3Zx
zT6FzME0R#f(*?P$s&TsT+_lV?{z?wh>@Ut0+Noi}fdgAUu=iz!`30G}6LIG%^||-w
z)X^sBfc`H*J<wl%H97W20jtU%i{X?8@~-;tGRG!8AkPF;^RhWm@T6qY$_6SrKS}RQ
zX1~wu3+0meRAm&3uW5F!q@h-0e@!w$A3|zpBp4PXtY0W6MX1o({Cv{%&lP=`NOO0{
zvLd6EWm@y&Q(Cx3#3R4j(f~Bgb&T@tRZ$?=WZLhmHrfZ?72EL709dS7D`Y=4OgCNl
z`@>QPIdAO0^y~uz=8YrbTo0<F?2QZ0o*dA{V>QH`x&2I-u(m9#OV>anwZ&T@YxFSQ
zhevtSFGFw|s8Qi6reNj95t>Ss9zHMKUZ<gL46}WjEUjuP_Wr#7;03onx`lY{BF37)
z^%l>c|5ek_a_=f}e_eg#_*<cxIBW{LEVkV%xu%I?-I<Pi_4IMLI@UyB8w)_c>=q%4
zj;96q*T-||qlnURr6=v?aAdIeg@BqCT3mGRd0U`|Cv(o7545%fdcb&w<}EGss#r{X
zA)$wQ^=ZV~n^sWidTVnVuQqahICs-ATL)`5>ii+Z0sIdD0RR6CmuEQE4HU-hz4zXG
zK6vc$KOP#Cl~f{W7!@Uw(NI=On~ad^Efh*hk@P<l6$vFHBML?K-d<nNhjU%$y6$t|
zzxz?*TAR0y7P_;lD_nT1h4%820ro=Hko~1m=eN8Tp8nIdtMQfwzU`~F=T5PPNb?=Y
z`%@D+Ju(E*Kn;0?MprsltpQdqc_sU5V%y*@k2?j*XkYL>`@~inJnE%);x5;~Qw9NX
zwZe+XbaQ27=nM^HoVT%d_NXJ@xqwyPSUK#9_A_~sM1yY~m&bo}so^a3rHPA>6b6SL
zl-P5P27Ev6xy+ZUV(#L^Q<Gz&SpDVLm)H;*boC_*RY$0xd;Z%Q3PljF|1<D)v7y1k
zwrDDonlf(rLPXNn^PqRo)oT_EH1H(rGB(sH;{BmXvor%X<bQeGsrtD!Bwc*`GwHAb
z=DA;*q^2<7GRs4EV~_Q_+%I1+;gZJ;s!z_Fwk6X4+E7mH62PpQ=K-A~vY5v3GxX1v
zX;O98=oTdvprO{{lUa)to~x{iyzy$7tfU<&vZDYnP>+<wdrRPs>)9+K#lOiPZTk{C
zuM<%7&`8pNR}9~6gz1niKS<SK*Jn>Ftw5k**rlRh7{9cqKSbXqvN>+Vym{IZuBS&c
z84d^{A8oFvfbAn0*izgXr)del_gsG;$}fOwaxn|DEbqvB*URQ^`dUEH&I0iE<HL;O
zXU-idtRmf3?xuw0m;;?|oRZuZZahEWf8Y&U4f%PCFyo1TW>D%{{6<WM6B`}=d#SSZ
zGx?=`@b4W%Gf29g{;}^h8>)Zfdw9a{D;dfs<~9{;3JygzAqIC@@UqU;ny}bbvL>=v
z!K2*-n1A<IAN<6G%R`lFH#c>WdfQb_z0@}W?oA2DUh6R;SAS>Q=(}FBQgEK5_qs8(
z(wq36ZKlWF|2T{v3HFoAJ6=SVOc}uoFYkMDg>-oR)v)r-gui5N?b`>u9!Bti<8A8g
zqiZDN`Q1S(Qp4n=?We!>HHPpp@0-U$*9tjV`#@QtZj5}`U-_rW$Pk(z65~sEm&uR+
zu31OcPLNFwMm==-R4^=98(%6~BDXnM$~~-@B6VH*zS$^Jp&{58gxQwJQHB$CEjUBo
z>2OK9kZk~Jx%GtFy+yLh(l9K&WsWRO@O$@0)&L^sJfhpe7D=yip;85gMRJ8&Fx2{=
zKCm4jxi2OxlG0tL$BZ^Dlj(~Gt~F`u!{Evz_MMH3Wc$&^dlHXV$^6@_fjO`AV3%<3
z4MB$`(kozr`&}v>W(5pZ@7$yZfe*rsEmxMvl}&#+oJQ#}xmD`>zaJFvfAuY6;pZ}`
z;;Oe6=D~;|t7!+122-GG@<K50%nHf-zTlS0FD6V67)+etra<EIN$FmTHPZ6?QxS|~
z!E-8ICej|d5S(ASX5dMOaaNqwA$DwNcZM4M<-X3kc5FAMQR#8NTfn7p3J2P>+dXrb
z(uQU>|G0cL28{a`6VC-)XtASIiOoS9QdHgsRhcrPyg4&-TO<$O9k@{#SEL0>^Yb!c
zhnVn<eBXaxg88t&v56~CMhisG`E}=(F=KeTlj*T4eq<S_*1wpl3A|$A-$J!m(Il72
zD^EudJu}YkXpqu`9TkfrHt*Sx`S$rggJnWkZGsCvPc`7L@R_NnF&sEaAHq=VD}q-S
zA_fbbHQ>TrSanJu7rt6N+ZSythEo$u)*Bf#U{+A9hdGW1SyD^cnsp@5Gkoc&T#Y)&
zGiL70@a03**B76yI7*@YUPIRNchrGbYwapN;K$n8AL`P#Wst8S$%^l)I&fUDWP7+O
zfTx39SLYJsaI88%q%Tz+_HH^z&V&k~CYvem*A98)Wvk=6LaIZEbfA?zmk7?PjvTGu
zpokv7O0P+>Yrssz?@ZozqWI&puldy)B|H_w)~6Ps0q>-W`~ow?F(hTeV#QMhw<TwE
zHw$Tket+F|#S}>ld#l98$Et=Ee9tz%>D7b}seEs|o=c;rgX-RdN_EtXWIWN^uLZZ1
zcMD&bl*RULwupiYnrJ2a+BRBM2i_`i=hCUmBg43R_tG|P{9UGS<$J-p9!kFL3-wdL
zZvH(!e<XDA$er`E%@q_-ojD=ySFDHvpZjdK9H!t#%^JU;&wB8j-8dniMH%&O*w`I3
z)kDwQqanSF1|VziZpG}af+KHGe{xa}jr4w)r5&U~`KNj*wlY;55-QeHxvG!OC26%D
zBZiQj{XC6}QypW9FVDr%8z7<TIP~?lF=U?gE;Du1z|f?4jxZYoJkn5?BI#!eKd0ya
z7Di~|kp6~-HG2d6a@pK2!Ok4^Ukg*LkI}+!hP2ohd<OV<qV7zVktM9o2w1<`uZ^|v
zVSnj0eY`oFQtu~6fM$-#-(OrhXrMc}SWu&fsDCji^ArH}>7lx&2pxRtazE3%l!8)q
zcVZ5>S;GrAownNhI*3H8n`D~~7K)s|{YjVxsg5$V^D#OY*JH>l`a=^b_pkBmy`({#
zmn2-3(81M;6sI3aYB(7v*ZEG*2IM`?K;9v3d>;37bi0Z&+URXK{5#GDj`wwZz8tEB
z{lDDPB%jNp;%7@8$6_0>Q~&fedxIvPQT}q|X|WVu*&X|6w$uh<q}+R)eyigHd-{s>
zb^WU!@#0L+vVj+`9zWXYu7)zc0%KPn@u8)QdV!jc4P4*vJ3m*ff<v4xw)z^Z_^QyV
zLtoeij7u-e(Uz33Kvz=B@B1=&$L7Tg=jSwF$p{dLwNOO-+WGdu&S6r5`)pUKEe&!#
zlpl0Q$>W2lKeNj(D#;TcOk3ybtwC;#p_}`*ECxK;^xc}bi%>arNVa~PH7LDyp77W%
zg<W$3y_-cx2#M&LHRTonI=TFl+$Q4qAm#I-)z}oVPwN0&K%>87pVn>wrnpzT-fa=V
zE`dv$EERLa-6Lf!ACZ6^xkpDHCkbNLCq7;kVv!Kl;*q%e%?iflO=LRx`BDAXi_>&v
zOGG%+^7!WwOBjy*#c<*ZH#&<8Jo)RhOthIs+w<~S!rn*Jo~-@s$i%^zUl+bioEh$o
zJz-`6Kdig!h-_v|IM{|Kq?U>MSp$b!0?c7;I!j~7k^$4=i%oS;ED`r4=$HF)%wUlJ
z(-zO5RdT7c=T~axB9XfM>5$o9Q`lP2`jL@mfwW03zZg}pKm=^EdFD?s1>Ya!fZWDu
za)(dY_u7(qLhgM*AVZW1<h~z`7-JtNDZ}R&Y-{F-62`|8cfT1!d&itd=dHiwz2(o>
zcm16uZr_*b_@!+OHWClhY-W2&rofn+s5na;4q{3Py<!Ac4tU6L8@7>qtFA@!o}D4Y
zCRUiaCk-LGD8QmWr;hw5w6|GzX`1lp;@0x>Fa+wGmVkJlVsf|libP%3G$FfnGT8nT
z73RNx`_D+WkVt%{K7QA4nvhQ3^fK0*3awe;bXKA@#JwBMU%$9d6L%7hISf5Bfbd|U
zkGCtEh<`k*a-5;l#LVs{EjKL#V5wKXb9SJWh~fCD@x5%CsL*FteehTx+FCsq)>6BO
zV;j76GSy~?JCUTzYb||fFKj!T65dNV9O`ZDuACtPs|T*0E!KnF)hRAd<~~A9F8#S}
z{48;+IMk%WTn`q6#*^=#86aXOHq{lMoFhhZ#6~JUQXtM-POIbJUqV?eG0HP}p0E@@
zeM;1w0@gt)Rpsvg2!)fTF-<)SglAOH_gC$@P{5h=^g!bXv0b;TjNNOA;IZelVrJ8Y
zyVU4lLTjA(wYnqi7|#mvV=mi}+foPqc~BY+&P))ecb>a2IK4`Yb;rD}57&mlvVm=i
zKPQQ5o(8w$m*`;GY6Tt2wV*drn^}CvG@<*kCttmc9uhm6L+>zY!IayKtMb4M@k`F9
zppT6a?(BAG?A)#i`6X!@0ZDVjs$j05$!R9|8-F^=pg;rE^m)(d?_VG~W44ELiLgMp
z>9}<lhXy!2RNVY;#}bh}IU|3sofVRAKQB`~t`22=J*>7TSBMXvPeos=We1;2x?fNJ
zR0G%N?CF&1HG*6F5Bry4PM|+G-MD#&8eGoYWOz!69(Zesp=Y){K(m+9F>g_Y#{sr}
z88Hk{S*MyAc7zWm81`-F^HzmZ`M-IV8JJ+sSI2ovGe0<&|2Xn;S_SHJrn6ceG6Tmh
znWhVS1)<lY-__}s3fy=47?5?070R!1FR<_lgW|WDF;koM`It=Y@&R@jxL7WVe?{P%
zO4@)FoeI>1N&IS$=Y-D9HVv<b#o$e--k-^OWjN+=v)Hkd8)g>$=ayt7fun{96ML!*
z?i_gxE>u3y)nj^cI9eKB`B<rV<S4_3Xp%=djUUdhG39;dl7m7~(XZ^UltC-V*yz2a
zAo%|o`Fb)$9;zAlxH0!DL!twV%*je2XsGJB@qI=CG}QW|8>uSr%(&-|ZK4QdSHX~4
zvJx<xl@(;=tAO*;(FFEWVlbfjm>70Yfx#amf;*j5fp;REM%<JD@14&tXUeO=#f7`4
z?x?7NkNLo@<|ZjnqGrwcacRKz=HcgWP1GTHXpU#xR2GzcH*RZW*MbW9gPsXjG$88Y
ze`DYJ<iK4<_JEC`4$R-4yTq@(&Q}L@xOWf=@WFVrxRsXz<tNXzIm+t5q>RR`;Kz!v
zJ96;OdJ@6ddlTumh7>TEs@}z{s0>Q~ELBWc^}$iInK3s}4;*Kc4`e-1fw$82x3d1|
z!z~yeoDwhqkI&u`PU>n<xcd7RYn}lF@{jIwuA{<}B({cIkJO<~BDeE~1r;{gwo_Z4
z8NpbzgtYTIud$wO-q(;u1)0+KuMeRKRB+ng`F&Cgk~FS-CX1+0xi#~F)rc9mpL!dd
zRHzNfCL8m3BiH$$_QO)4h9y+YOI+c5p#!5ztW5DE1`wZGRT=L`fL&ZCFYT-@Y&YM1
z?+}{-$p4Moyz~LUd8T+FgN_0wS60T8>-C^XH`O@)gEeSzt(_N<punb3AKsA-6wrBD
zb7of_4SItl&zG@L;PYiR9(FoysK{_V|9hVexVNz6$))N-*n=&<-$<)NT0`AGmQfq1
z-T%nd`-2WtpA^}+%&QDmnyy7fcDB&j<dWo=rwz^}71ym8<U!U@LWnce7H%$Eh6UPa
zfuGvBCK(e62)b9)W)NZvY1GyJ>IWK7>JioHu_OStvCd}6>w6Rw)J?kD)j(0hULkUx
z4XXQhMKi70Kv3CMwY+f^=<V;1WLf`j={i5!&}|!d?do_bYgP#$jx)$Bx`)W+4sZxl
zvH>Ii;?dPP1?Vg~K)3f|7x|#!AXWB04S37qYxl0nK~cnu!(YBmk$c8w95;*8z|>Fs
zU!#T$9DL!}66n7|s)g*Eq+GRzr(EWODd#0%ch&bWL0bkq$$v>`iP0L${9G2wxI`h6
z2$HJ!%!D6}^#dAC1NfDlzIFYpAe7nr>6AyYAO~++g2*%hx-UoSZ?y0MHLaw@^b#xj
z+PlR6oVS9-NX3({47ect$%)W;K{gCw@ta9!vx0@2&lL6<v%+J2tCI^>Y$(vbw7f;p
z5*X_24Zl8T05%EQiKnV;7=Fw;`u1iE5c&7;yZ43_;?LZWa7aHZDsRd1o(eMui#KIr
z5%V)dW|Zz`sYF&BJRDBs7ny+yk7~L9&r#yeV^`}ORaR`6*?xh4(iH4U=M{$aeiPiR
zl5Pz(EcpH^ea~rgQ>dGJ@0fU@iFoape6Zj+3#Oj0cHDN^1iUrfQw;}ikd6Lr3R=1>
z_=)kr1GYY6*n6~r^1Qi;6mJ$(y2!+WOs0S0)M>^bewz^LJK94I*xa(rpJ7H(1!+c?
z93yzV<(9~4i$7#&?!GG#%q&=Wq25P}&j^ytZCY}JM#!sGA#E~7Ecn;yL1B25A=np|
zs2)k0Acc*%8E6+-kk2chk$##A{m&0(Q!S>+-80{}Q0Z84%H7yCE07AQY?;h{Z)eFq
z%IIH_Ojh*P-m0KCYyjI_l9L;i7Rcgn`(a@Z8@|X$d-?d70pt#SHw=haB8^;*a!zby
z$Gk-Q%MA1Sz+op<9$vjdvftUWReKi)zMjdIHILJW2IjB}AKB>ekVDTfQxYeh<Mn0R
zC#nw?daLkDpB^7kd2{F&xbWVnlTYFkJ@_RvZrgg00TYu&AN@(>!SvV8sh#$EKo@WS
zV&i>AyccGo(WSzNB4@_7#0*oQM<n-Q{wNcQN)2)BmE%W4o`Y@WNfh|<Zm`1Ffd#Wh
z+e*p}1aP2n&z~lsfK3zKy_(AP`_&8%y6zXm5?7;n+rPTdwy%Mi*NGi<H@F7hEfm81
zZ5M7^c<REYhEm<L^BmYKtb15bR0LN)o}EbR)&U2(+tJRITzF>d=J30BMRA!<RVE`y
z2V&e*zf~6S;9x;v(S<GID90euQ?c&Hu?iKd%zOEet-o>qadAoX9IN^M=94xY%M}sT
zJI#+`6?Qk@aY~~dRP$#hYr_l1RlyTa1yHE^QS?JaS)3Cdd-n9CHiXvJZ{M~ki0)gK
z_{NIl@XxjJ`TN1zpsQazXXGV}zXIu*+<wcW`hk7gXA{@w^a@FSog%n)-|N>qHAU3g
z+phoky*8BZu6Q>YDuy7c_5AcXC9F~5JvuJ01JSb^`qDKe@Y7>UJLy4X%x;n73C-1k
zFAJ_tB`cCBAJO_O)LRv=a)~=Va@U0&+A2>3hNUs}?!hm+eybt%z(?<N849qzHdd&g
zk;Rhv?BPR!8hGH=Kau_U6c`e#sJq4`kB3_QbBE?N@xy4MNwAw96yC2>PghsKzC-(L
zub$P$`Eqi$K}H`U+i-r;NfDimsXV)9bnxweDFXcL20&)izHB(HgxrSnj*jXSRBxP4
zmlUQ#bpFuxD+S89_tFkQrfLdqd3nUBlV%99&2D=h{!qdG^Ugu58};ytmFAY&>qhWk
z=cU*@dNp+2YF5XZr-yvwRUx6v#*h-fQfx1&jy%!6GlM;PI27)inRw0=2D8rw#mZ^m
z!^-eG(?fc=B_K=iu!uQ?i~Aj|XV*koRyoEysE4J@=k{$Vu>dx!(v!y<G_hy1N0pA3
z9<rBrPT$yO1z#OkVC9e&TDWbV*jGhCZ7KF==YJ7ky>xJ`{Hqq`v+Ztq-KC34Pb?Pp
z766o}B)m0c(#CtgJpJk$wNWqcxWtp~*05$jrd__Mh4VQhPtFBu;-*R`o!@=dP%tO&
zdHaPHp0jE9+x}4vy{(L+I(E@O^-;QBq`nrOk~XYSSWre{Sig3(kOq@pWmB8NG?B~1
zQ&&=45xH*$^ho}uK|!n|$)2Ero*uh)<bfO(@cVyeSfGJ3HuRr6qK-;KdCe-ElK3@j
z%Kq5|4ayQ4Lkrc_@HRv0wM|pPcygb7nL{HD;#fakv#C=-2{qZOSFZdR*Ey#DER6<F
zS&H}+-IZ}ceYkT=1P6AD9r#G^M1z1lJEfl;iYTI1w%z71Bl`1c8t$I620tIU$6g)^
z*vRP?$2Yl1TKJ!myKu`IWJ5dM(!1rbs>t|8HD!X-tc>>S)Ut+j*#etiEix#VZW(M`
z_lqn|{+TU@01Ayh7IxfHsH5L|-Jr9UeA~R)=aLJ+#*XNvM}Fcc^fObuBdC~=&hJ%B
zt|ov_yW<A+p9nhq`*dC=sEIJ$EuLUFWCfM0MGKH2gsUzQ{!fP5iIeUe9EAc_pnvy*
z-^~aC3@pFq(cRL$-c#r_g~1ZI1HvaV<N5H_?mSw_i5}u{SuLGVhy|oIm1N$C;l>dq
zyT4g`dx-QK?^YM{%^~?r>{f4A4qW4{zLeb6O<Y&m`Mzh!47i6V$@$@|sC2BOa_{pF
zV&CQw)e>DZus4Zt&Rh4xAB=~esAaSg!u!6eJ4c#=95;oPy@&z(r|eetb$ulYb@$|-
zt~G(Q8}aWfU(w;w`=6@M`_vIHII8Q`WKBSSuh}(+l@;>DeBBd{D@c?qzADX%GzPMC
z*guSZiTt$~lK1ZYL!vlf?4HyQBcRmx<humTlL>E@j<_@BlHw{Fdp24b!PmYK?~lYR
zInVKydDk$KR!#$|gE@vka|z1`^PMJVzpv=MU8^JgcI;|v6*PpwFNe)4Iwr|ySzT<7
zk>AK@C!%yPmI~*+(-f;xCrB0V_Ib)c8|ik<UVm}H01yjjPbZC&F&<~{gl+03wRTtr
z{tY&Oe%ouG_TCsHw_E7WIehIUwW}2eQpWV*k?pcv&4E#}=&SEtu9!Zuqmo|e-!Xki
zsaw!5OCBM;Vxpqx&Hs=z`f`c-DLt?dy>wbfYJ?p2rPJ(K8zg_;pSz}dN)L9dz03@n
z8YX8irUy5*4wHA%8D0M{>w((0d&?ZcBjh&5rGTVQW2FC!H(^Wbc@&W$Ch_w02$|VD
z)+Tdwf-IwRvUO9YfT(Md<ObDIQXuitt9;HW(qcs}rZGep&JGHx-Vzui#{{af4p&Z-
zKSgZcZ2wOOh~5}~Qf8dw%&hjjo-|AD^k249YuAQ|FZm;V-^R%msSdfD@$=;Gv{-(c
zur?^s^q=!Tnjl}~RL*H-FOpw&hbLz5)Pjqv%`TkTlVr({(8{B~mPyAkv+@mhHNocQ
z1T)jCDe|<7lmoi0kvt9d`)FetkjoZ)A$@Y1G@oxb2w$Va2ooZ>&{hMaR+ELkyUvnN
zokAOBgBdV++okTuchzCUHSw-i*BrUTdehp7g$Wb(R+j}Zs)KHX3xC{=1v02Ldv-6$
zj5l<*elrYI1N&3kjvJm>A|*T?-n@K|6=%aXeD~~Dg)d1b#yKvokZ&#rTwX3>$LCLf
zF*xs3g@}t<u@22^B=zHC){T>#$lh?HIK52;xKgKs_iNMRwsZ^sU59z_g~Gst{{8EG
zoObbZ_jLxmGO4g=b&U`GtJ^(U=afNWl)oxolnG0=d~wp|5J0A5X7}h*l;O4T4orN{
zj83cpep7jZnB~yq%xk^giw^WA_-3%8<EfoQ@lj!Xxc$$w!UZK@%^ADZlFg3WsN21B
zyhM>b&D}e%QVGIO20H)z&WU}x#=+vJ#nEol_i>dBCFlvaRIjq;L7!5!nXR>wDD_Ey
z^P2=EIP+>RWif;g&3?A7d2E$IUzOoAVONxZ|95Bjg#mtKb$jqUAzBVU%*pi56evLz
zyYJ49NI@JPDN5hDB#-G-ft{iMl;GT@JP}I+VJs}L7;w3vh@Jwj75xs%FyqMX*u*c2
z(s9jE$+pUPE?&W4u3Z_z9MnZ3#l-P=K<@d2LaHeI^oYDdiVD1Q;?gSIEQz+&-I~8w
z)zFL~@XUjYs=#vAQ_AW;Y3%s?EV-CY6E$4>B#*vX?<b(PpIb-{b&P^kFAHho$$?qH
zX(J7|K^J*x`LH~GQ~US#v%W4yxd|WZrPl&$A*#|+vjX-6zMYB6qhPUErul7U9cWFp
z98Y#qLg#e053h^#P%E#3`ffV~Do%H^inl7Ge8SAc*+=?V;MN>`^^+dRsWo@(^Hs(E
zHsjdf1OvQOS>nBO-3O|Vl=S4xuIJz8%=mn3Do!Wa<*hjwf?dIE&HgA2EYM7jR{uyv
zuh!CU2X`4m*qC{u$E+qUHSM>_;W5Nr!<mvVFPZ}LsJq_}CvCi?%Q{)fW{67t^+n7r
z=CHgZx>Ytx2Lm~JgCYy4I4l=R*`RF&Z&azxLSgIqo!i@AHD!Ru{8F=rEdg}%tK_qV
zDVV=G%5J7hAAi!g6h_^wfwJe|CZEj|tP^d#_#sFStA_8ypLeA}o<{eLW+w`6{m*IR
z-ymINqFy=`qP5=Ryf;a`Ugw^W{kJ!Ny`qVB@8zm;+ibvWck40c0$s#oNvXmIRngY)
zzhQb;Tln+2{dh{D4qkp!TAr_<h<V4ZeE6Ae3&IBG+CJXe7~AnU!e>MpeJgfe<$h`l
zW%ngF53h4eSQP6WQ63Sj?(`G0O0|V$&r{mX>>6m*&GP3$H8*C@hzsht+d?uScBWQJ
z4ekBJvojUxQKRvNNA9u>oPQRsb3{}HX*?qa`wtJ21vc}WQZCv+sp<|_4^}1QyZq8C
z`))Il(ag2FjnxJeUj3EMnU}|Amv1pu(Nn}iVI{xzX&SV-za4rrB#Rsyb>CJ!T_v{U
zc%>MPSi`Ni$7UBeq;T++Kl9f_M%dNw>tXF>4em=`kK6Z%Vb=UU*V<$jxcdNIR+<13
z%5uGe{t4kR7LyayM{Gd7Y6fcd01=BlPp*{mqffZ-u7D+W7?n}di@QbuBaJ!j`c-bM
zlb1fFSIPlb+CD5sr&xj5e2j&FE*qv7Hy|$yC)BfjKN<4K66U7Lw8Wekaa<zxKmao*
z`0ond!SvArio8ceH#V)1+oCENW*RvlfJb0s#)LVD=<|us|Cu3mH6z%q&vJmBks{|Q
zWph}Z?N!`-Z-n$&NIn%O!vTsLj^uRiH-na`himQQJ)~!rYtSZ=9Zn+q*0nrSNVwj6
z{`cM*lA1uHG8|zC(bRz=y*U%0D#xcCB&vw<ckW-x)!Bjd^Fmq6Rud>bl%r{|tAmJg
znKX*0X9q#PctyWQ#&9LH;%rGzKk+{R0096043~E}m46t<?XB$WdCbFc&avnF91;>r
zMp8&h8NW!`qs)qwl})mej1-miz6h0;NF*cKWG0)RfA2q@?{z=d^?mO9bLVt-&Yyow
za3D1Im=Bu<j7#m*lw1Bmu6SM~*swE$xwq_g+I4jRuVd6#*_M&Oi)S?s8#9CbiHBA9
z$JC&IGH`-cX%$H?TdyrDW(M8N>-`e;YLMI2MlnCMj-<(QYHlmC0M5cwRiaxJavugh
zrRm#5W(O9V;s#j2>T0j|RV!7<{P!_?FlYx!A6zvLe$EOjxZm;&-&Nqn{nnSK=&7Ll
zjpOl!8a7Z5A|d_GD!_g*^GdS`HB47eQi+bSL#OU${NDvK45C?<$Kz>$Bx_jah#Um2
zkNPxTQDi7ls$p^Lp#{RTP_0Z?4!EK1!sRMT2J^CSRaDaS@T;gW?g@nxjLfpanVLv2
zOD#foD1rf!t-`mzX>h@piz*>$=SlGHt7@;+0waibo~lzc;fBR-P6@|@Bw*QUQZVpl
z2G)~q8sB|+U^a-NS>H?quM2uVZJAhsN0{*^X9F*2#3$QJ1QUVo!a(p`9UD;E1sr4~
z55Y!auZ@5%5s0Zeg2&<xfS{iV;!?s7fnWQl57QGN{wB=_TYV1bP+gT_F&Bi*81d7s
z70O^PcZ^QRloMi%I%rIJgn@ap$0GfrGH4z(Iu_{01?BS9w*_}ap!<^CPkL2lXjHye
zJekQ2%)?6CY4qZd>T0ieQa~AOzO-F_GsXix0|EypMI<0gFv^o}U+3@7(mi&B4`!@w
zes&p4!UM7UI8AkBu;+ML9FH9W9@8t?oe@&t&*lGh#a9_zEwrnwtOcOM?L>LoM;vrt
z)^_UorVN~Et_OH&ga884DeST`Q2M#e@|!Xd3Rm9w^uH4ZWyyjGT)Zr}-SX*ayhDUK
zQ=598GEq3TF2I_#AqN)nROIR%BAnxRCSYhK4mW3dpAWk$z=SI2o0oS;a4qXEnens)
zAlz>!gn!_{s_$TCxe6H`w-!fJJS2g7&}oMclpyPE$Aa`G85+VC)te)wfaW$bCzL_}
z$pO~SYQrkv_hXr+=phc6f0Wy?d{72odSO4E->SgWEZ=mrNg7NTlaA>9M+9;9$(|f~
zb;x-1<;;;j8K`sJX}<lF2(@y@TW%lLfKP4nuCCLv&_Ov!b4P&$0*S6hFS0cuExKi-
zepU{wO{UVBtw=z)nLww=tPNTY9M`)0<RM#>yFJjH1YxK0hm9h2ARN0gGEk}jsXk2-
zA^arJ9XT;qMWY8gai^yD?C|iUE<)0~iU`Xmqr&S$^?}<*%%J@z9+-m$Y8H5iFsPZw
z@NpV}(d`J2FtQ>bNqxUf?h`<iXQYua7hs3`!$i5YBDhb#FKy0Ig!St;&I+qhp!Bin
zh&L$0J+I)U5oZNpO<gf7uc3gKK;E(Dzj*lV!IZ2!Ckrxq($(g|2C#Fm{#V9TJZyY3
z{Ig{(4XFJP_25MV@RYR>Txd`LQBzZW+%rjda%elDFvS2uAM@md?fa!yyfHe&D-M@3
zbIi<(4PaR`DLS}Q4ipRbvKR3}plpA!>RFBfd^`|_O6JJI+%3YPgqwVTJE|~|8fpOf
z{cl$f+sJ@geZ`iPAs6^(j{JAh)Bv1>hfKP+a1fX=T>52)4P<++dPLJ1fNdt*y})!S
zU=)m-&i7-0XOEPBpw$#$Llo4^$&&DJ;MT71A{BUQtTLUlqd>Nw;#BfyaX78r-e%vt
zj+i9*ABI(chf%!AhO?r;$($Nf@4kf0iW~@9O#t|pI=`EKLKu<_%`*6%Cy}M;72jYP
zfSSjTC5QS1;D^8qF|+VN#Cqm2dq)rg2Ny~O|3)8zcy}XhcCjv`v$g2x^HP0?DDbvF
zbcPo~%_g3U)Hfp~bQ#N+2K1m(*glp2EH}8FBK<BEu0m|KqgdED^+0<hB`y6nCpb1P
z;+abGkRm!|M_V&pNPdBaMYkLTRkzd4^fviOT?!?y`i>49!O_n#w6lT9(@@XKpep1`
zRAax@XKlb9GR*l1vOtwmr&@A*BO?CmB*j2L8_tmL9;>fsgo2W}8k_tMWXPeh{puwx
z*fan6$*zbVcGAmk>uh{MgigSrjs{JrbIwrl|4Iv0y}w9?FME*~D~4JDK24y!+i6zO
zr-AA~sf(oFKasuNns1bA8c=k<F!kkcD&RyvQ+TR=A)eYRk$m6PLCxeMzB*(N**!~H
zQD7fO@E7&-y!F+A+QwkYDR~FUF4cS15HW>>Zsh*MKT(4<iu|rI?KX1W?>g;g_Bn*+
z;_iT~pc;_p3`YLE*+eGfvK~@bEFfC*;!eg1s!-!r6`j(xfh=Foor<qsLdJvF?R*$i
z;n2rhONLS#$fF}7=TBs<Ae(q+hx-xx_kpKT<o%0vguJTb`XzZ4DJ^{ZG>Jw9CW`|T
zU)@|s#8m#oDdepo4+>6ey2p^Ac$!@86tj+~HZl>Inl})h*6lpD17zr`&nbJ0t|M&K
zD&4nswvekS<7a#`NFX|9ms^3~K<a#t@@U%cBDcfu>}1K2z&$x7*Z=JXQi1Ociu9y{
zBLPb{Zq*ZkaY|-ZDRmR^?Ar{%HB&=2pI0|xMT9FY45fjITgcDaYXYa0XyNm(jFIeq
zWk`B1Y?sxzjVS-4>mt3NgO=)7_6dB-Fc>q+?<Tm5G@i-N`*Vr`oQ|%XzvV!HGhJrC
zp>z)^^!^aSAjSmKdA2rR9xH*!lg1XdS}GuZhaCb73s^pT=!otrLeP;=?b>Q;I2%W(
zv=L<k>Z+W%wzG=RpCd0I_JIb@zo~dt>~sK<CE6cfX~zTW`LPIgIyxYfn{pqy%mGpF
zGn6lB;ei-^Yw*q)dXVh06Y6c`gqv!eDK}m!K!=&#^5}O4sL;oqT~_9Xve?#-H53Kt
zjbn*^6u<=J&o4A3T6kc~IZ;5fUmo-;gEmtrED*&Y6SU#S2Rq_F0(`^e;lXTA9Hzzw
zE#6n39Xi1exwFR*0d;u@+a)<UpE>{!`J=lIoD_t@e5F?kdvf3#%F*v-%K^9=hB~Wo
zVGzdkHqs5sfuqUSm@`?NaIXD6qfnnHeCki#_V_9X9kmIf?b}>%AmXn`ZlyTP#^RhZ
zM&*D|w%GVz2oH4qbBftyk%UjRGoOt(<>BLE9yOgXAJA+^Hrj?s!FjQ5#uqN~@aKKw
zABMq0z+dM7)QVXeIG>xw*AB>orKhNQB_;swX`jU2K9PZhps(tcHx)pTQPZlULkQA4
zD;E-+<)H7gS!2{`Jji+ZJA^HZ0Kxx6nTD(a+~_mQzU`?9rqm4d0^;KE-`%HaO&fR!
z_-xT?(WC?~DK3o<>?DB9+s38Sr3B1B{q8#0Dg$4KNUL(LBvek^%uFg&22tJ{$}TxX
zpgkUK9=#+5yx;6DiM$}f^AQyh^H(IeWSo_#Wg!jjq+3VXV@V)cU4J-zhYX8D&06m(
zW#C;`uK#BPGI;RV?d5o>LhJR2F<*}Te3Z=WWFI2K1Ns5oSq61@?eIoM=JLMpD@rmQ
z7AoNSAW{Hp(*SDrq_+Fd6u?@MoH=tx1q99uxIQY-f|UCQ#;iv0kV?z$p?F&be(zqM
z5lYhm#3O#qYE}^(pUoFC8K}VC$Cri8$$F3!vNS+>s|1Jd?%02?B158Pdv4Ah1myF@
zEDw7TK+Q)2I(kTO!1_;mR1E+>d^D};A^`7BqV=6;MBw9({IHftfhMXfuGx74Y>UZM
zFys-S$w>a+6DtE~Ax3Ha#t4w9G3Zj}hX;G?!p(n+25?hX!~gXW0*Eufr)p+7Sf!UJ
zBwsQF;&1BJ?g%9~+1njX4#q*ux<`pbts$6Lu=UgjDZ(E+#7%cz9P+3}m>35PK`;>a
zwnQBdy3-9~w)8?!{;K=Cd%q!cWr}itz~td*-CHf&A|8Nod8VuyLpXu3+=|1=LI3TA
zZLv0X7-hA!V7hJyA6c$`DfZg$XPl~@Cm++o+$;X<ToFU)sWW~QQG$cZbz7#5?Ees+
z`RW@gH3l$P_((tXrzEs=+Tx5yhme^H98Qp803PXThBSN<U@~VOPS^bj6~Am9@vDsj
zxfhyhI%-A1Xlq2CWndcJ)&H`lX}q7a3&|g^Ul0O5<2>5F&nxJ+RF+fA9ROicv-F$$
z+m1Ie5G?6gM<;6^o;h?B;BM#bd@oC0AiC6lOEKR@UrCK$;>tzfOxw`7ZwePY6pAi-
z8ncUT!BO2KmHH5^{kJ8LlLHjw$BSg&?4bd+{`IwQ^#FG*@lN$!R^U)vF0K=&!rrMG
zO`tQna7j0~G2j9txV^DuNaCl$QfTYh&hYBOlf1jHe-zO|M3w2dUE?0AUwe$+#6$<m
zx0QxlOsIe><kN{nraiQNq^eIOQX9-Cad^*!O~iRSkSl|*i{{8`g}Ak8L3fcfpNGmS
z!m2asa?NN5ZCF)0R(3!OoWfKu9r9U3)XwWk9(UYE+xzmr`8sNX;}O~q!roH|chff5
z$84d}-uedCFErpMi%?p|@(7aSp1l~_v57iX`(2wkr~ysMYmc90^dNkn`mOooH_<D?
z#~uxPs{`xGKc!0v&B(3Hvlp&cZJ^iArqECIs)1${V@1DpHY&6Bvg!P}4b)Sbj;)2F
z2Ju?W6c4|4wBDDiAVz-!9Z>&fq4rD_SS<fJ=(KmEzlpC>YfLxLTX@GCoYJa*W9<!$
zN*F+yW9$Ax)CS7z^u|LeM+HtPC)2v0`Gs-_9RGq}*gz|P2lHJNPyzS<9$#~PK88+}
zZm~PWZK5B(<5+Vu$nf4u-!yq(5~V6Nsi?Q#LN$79zBGuC!Ft&CFX!(WRM_}g_c@1c
z)bhJ<TtyKH<nBtB4E6p&A9`jl=O^x<o-tVGc@hbR&+UxdJhzB?Sfw~h@9v^YAsmri
z7!l^?nyxtaFQMGk`0UUVR9I3YmDtirBFH`X@0$Io6;ww*+4LlZ8Y`PI&c3<NFLEE*
z+(Uo=MQ2hA^?8reVAFNyzs0gBLt@kO%g@69p`Ns_HSUDdV&ro?qKw7_P%<r<#YpRD
zOkgA0(nW`*5Ev^&<CH+MW$DR(yBnyG)_WrnQwA(sAh~F}R}orQ{T@fnY@vH@OD{~P
z7_nPE66Z%06d~B*h3W6j9rS1Ix6otN%or`#KRc0FJa8onw;2mkVb{3Cr*1r9#bUj6
zu87VlfXjgZK4%MREXaT9d}a?jCQ9ch;(l5I-p|L5U(2S!tXZ-(tOPl*f{JIvlCScx
z7#{t`m5~lRFD<Kc!;KSTY-<a9WFrq*u|WqklIXDmiR|9Q9xjYYP%X}8Ob#@4S8c?A
z5sM73<R5Y2!Ged~4$p_nfn@lD%i%oC*gJ2gEAo7N*!WEB!gqN&P|d>vC%IU$4}5D|
zuNDtsnOy2NZNFvVv}t)OH^PqDY9i|Ts{$BW!b5JTl!Y?;wbhC2gV=8op$!`uVT_&o
z{WppGvQT)B6-VUf#H<F44|>IjVkvz-FW$z=0^^qNc3T)1Cd_!%;X|A_b}@g)cQ->8
z=5db4)aiJzf0_=q&;CeYPY+F(X1te$&xrK{uP3~i&lP5R!^=`wSIhuCgQy&^-i=;V
z@;!tFS^wZM-^F1s4jiO4&ya(A5viw_odhty6RMFtWipt~-Io{m4dmfcQD4P7A0dp+
zP^;|w6*;VMRiycer~*t+Gxy1sieLqSH<f6O6|jU;Y6st`;lWW$OQ@Gd93w0oCY)7N
z#2%4mMeil--|^t=GxG)#SfdI3+ZlcWHbN?kktGtKJ8%r=kt~S`<s6SJqb6bj%I_al
zauA`ZEAaZ}k`#8d17F^~K*ZQ{f;JdbN$@>14bgRw#^_3!LSjFYu%?J{ZrLa@7>kaX
zq`jBH+^*G1ZKshjzUk!tR%%snoEmE9)0V>yK1~}@MpQ7Z=U*bq%G6-s-ulL=NAego
zPy3#EoeF0DpY%huFb$~XRDP1aseq~Zk{PUbRWL3W+l-d0T40hV**Ku7h{>tub8J$n
zVt4(OM=yozfWj`Lp{11)R?8J~;p=M^OzkwTYw3X=Xib|$_UI5WH4&PZH>LLH2dADg
zDn-DgNj{}+hJZ!*zS$hoC1d3UoqG7M0PWoAA5v|Uv6_(fnMP(3mY?ym{Y@PON)pAT
zg|91P!wK~1CuNkeVAt!Vwb2G(s^C*FaabA4rmzk6e#B#Rk1L7IcthwuE^&6Pm4JCx
zpH-<<l*2-&XDCA@hVbdSC*SN}CCo;dKEmcQ4(koQ(eP@`5NyAnp6wh|!~))2N}Mkh
z$Aa(7w6zKy272#C=J;4VcGHJDZb3p2>u>h_wZwNACRARKksWz#4vE(LdW{=%w|nO)
zF>eUgq(!2NnH)9~`(Hu-6bp81xS-+O{=4$@N$;7$WUx;h!oK|8`}yJ_cwF7o5a^6s
zC#UjpSWp?2Yn}c)%H>ltx7u$20bjo6PBu$o&b5PkeTjLfXYIp#woV2>u$bM>niR*5
z`&MVgdru$+qGtpYhA6NqTKBR?O%!{|iWhl){4e73%VN&xGzF4$L|v9!1u>RQLa?dS
z7V`RePtKj*eQxC~kd2Etgq;&=D|kUq1<R9%+xDyhiaVrm8U8%j!Z|<w(kg1WRHnAQ
zT#mrrTwz&wF(+2y_ZBBoPXn(HIDZMR(}#_Ktkre#1K5bR4!5u=EijCC#kzgbgZy2u
zzl!e6*u5Q-94wF)sISc*8CcMTkWd9ZMrnGiRnK6|$c+}>Y2B?U=hubvcP(b<j!|Q`
zbDM9Um8FG%1dh&tqdJhVm31P$Y72cF$#eKgCk?zLJm7pCr41d+fyb<(R#6`5m0A-Q
z8W5djvm0sGg2GQNo4;um(csY3z*GOIp?~;w>p2cB_-B}2dqQIZ^?9<$9eSS{42m`R
zUOQ{T1FDN1k?TLu?is-bD-CL}oS5?a@1+LV=W3(MU)#|#dQ-x;1uEz%-=pQ{(SQK<
zqp6yc1<0b}uh>_ORM71dIB)N#4lj(x`pPFhB1elR|GX%mf;=Z^9UoMKC7w}Dd*Tn|
zy{d{v`@Syo<-J+pQ8keA*q{<r8AbBXR_r>XR3L03Z$4PB3cBfUmCAojAfFniqI1`%
zpzf!V)fh<?81lkZO|@o`EMBW7XY+mT6I;u?{8R-3^EQmr%@+`Tjhoe1_IdE<#58go
zuL78=ip8n)C1mz6$t}^E2G}GoCqz_`f%+WXMsDB=LM+Oc%VDGizY3B3B{ecgDA|qL
zTCF1Ans4#N4bXyItE)<CGYM9a3r8#D_xUzFHSb0j9b7SNukbiQf?%=b`{x)o5TSPs
zp+9Em;dnrfPtZ6Ky64`X?V8_2!s2*~Rpl9h*^JThQ|LY~EXULFPj4eP&YiyLoxlVf
zGgnMQ1c{J~E1nYB+C|RXEi8O3%mUXdalA(U%1|>kVQ-sC1+5)TQn!0qAuKyVySrt-
zXP<qNg*8#bqa&eyB~9!wPQx<9%1;2NgoVlS?S0<V&+bs{I|yIY%fQ!P2^2|B?lM}@
z0e1<m0^#O_beyw&`LF#uT=&zty_p^w6R0~&Y`Gvyx^_ImP7!K{Eq2x{7~y_-w3o>%
zZlL?BU@_T`2d50Tr!Ct|;7%*2rJ>CW83MWg?On!$Q1NDt+b0(2(lEV~GsFj{C*m#S
znep&xn337AgALA<@_%|-!Vmg-=ACq}6~K&#>+!pp13-<t;E|9f2pQLNWI}@#z*U^@
zKT0kKwDBj=SyTzbN4FlUZYu>~mYO!%8|H-JaNnGU714da{#B3n`4>I&a@<9i8xWt^
zz@lg3kl^^Vj@e8BI0LM8C2M#fwQ=X(+@1t1snhrPUsV8`HlLf{%=kda=yrR9tJMC!
zc6Ju)6+qMS{m>{iKkQvl%}*M}fz3o+(+VCBb;{dfu6+W)`bvbEctr;4a@9VEbl|~S
zwd^GQ7a_28rQ5r}xzEFV)h=7filCll9x^Z`0vAWZyn0*Y!6-<3OCwDQVyYgW5#SVu
z`jHbWm0|mH8LFq{z7yb9In`fzJqe)9Zw0&QE5Tiw2jSlpi2w_g4if&7py2jF+i!ya
z8Yevc1i46%7R-CHzCjAk5WQKFt%y)ON_F|cem~S7;(7IsMH&(x`fKS4lAwt@_+ZU(
z6^Q!UOviIp29j?-PL=vVf`>z|e9FsIAt$Xz7^#p2{%>lnZ=A^RG+MogS4kb*@4pyo
zU6X@AI<X_HAIKo=?k{((O9K|N%YSc?6rkgr<KQ<&6%eE%8vRPr0v9#vZZm5<*dF2G
zd&Z&y<zI&gpDyVDuZ9VukBuVKYrOmN@*^3-t857@CVG&WqY?KPuLQp0=i(xdkzveO
zD_%$nfmXEq0s2V^G8x65FvXCd__PIm$aR3FfWsHs)d-;ZL|av5|Nm%dcvZ8SP#`(6
zn(pOk0$hEjQ=od40Hl*9@}txSP{c<2Iz@{BSmA()<L&+av17E;m~8+HrVCTD`#gWT
zp>6V=gB%=QlosaTF$Ay6rdG;QN?_qlYcR+p4b8Z#hg~ihLRgp&t*NRaTx=L#h_8|W
z$-&G21>83TYKr_?Dk~mN?d9ds{t||KQrHLiG(%vz#ycicEe~vR`O`_Qd=QaBiP{M<
z1c%m!4imB*DE_+CSx?{umWr;UkB%6Egsrmv`v)?hdP{WG!;c9V$E?3OY#6{Z&9qI+
z85|6?yM(It>>*<Gd$pmN2GGCr`{Y}7DJZt79EiTYgs6?ioupMZ0Q06JybRG2;M}Zg
zGWDSsu}e_0Hmj$A>lbHz#@AvHpNAh$gOBJ-;c%l>0}3#TRT-wl2!pldYd>vl9HpD~
z=Nxzoz?gFU+H9}@+|p22I)p5uryE&lL@fc1D-8x^=kb9%@w!0O!N2GU4snOD3ItR~
zxu^SAx#6XQed%)gKQ#Qfzjff7{TzJ3pV4)L6NW6@PredbM|BPwm!18k2l{T7)*KNB
z;F4VVW&5sm^!4knC2jP2aCNJ_;+zKym@K5}8qBVvUis3kzeu`Z@8dwV^_l_T{cw>)
z@;Vy1H$l$6pabX6px57BqJ^J+XKb&}uA$RKk-wfl)P^Unygqe4RIsS4B5A_0hPGc4
z+5SAL1*t_IZ?v<wklu^O#Oe6|p{wpLL3i<5;1N0&GWO>mLi&}(XT-CLmZ5gLu|b*;
zAw}zN{(c$BF+3HJ$MqLAiJ~`f`m6yru3pRMGM+~&IxiR6h^(NJ@AbIr<TYUA)8`qB
zzDZ=@&*kEEon=(#@$+Ki+v*T&&`$e?Fp31(+3l?OE}?4iZ~M_d`&{|-dgOxZ55(4V
zibDTx5w(nb^kvjm4cvWV;7Dc{qQgpMkgvChYE1O#2E0*)y3N?Vt;em%ijCIp{o(~Q
zyf-r3LR}SjP9#3%@Ge2_3<;1jc^6QIJ(CWt{T$S%RArI}O3{{v0t)}Td2}>(L6=)b
z1=io&m)^bGj8dte3fF9&N1fRvO<xs|;bX4<&npi*(Oaxj&nI@~QK~NUHD+ltaEkp1
z5cm0tn$l~eF^4apcPrif=1NJB5;q|qjP;`T3ObYQB^S|3di&ZVWD?9T7F3IL|3H6e
z$mA82ETYNeOfi}!A}AN$sNAa`Ld|8EEk9Z=p_^ytU0BSC(46-l7aaM8Dxd$e8!fbq
zekLh5W;Q89olE~|YlYva;P{B=2i6soG3hVCZ<+vOv07{|Imc1A=Cb59iN9!S_{i-z
zK?3kLWxVsFokYD|keDW?RkWeAY_Ro&67cMtZ92&?jV|HM8jy~EXjrw9F8e)2I8buW
zcR+j=z1aE*&*ZR<PJfK2IDExJjwJ4Mr2QZCDf%ivP;?XhzG~1>B7_I;(JYmg+6A;m
z%KPd+?rk*3&8uU@T>(DKy*5k{TSCJxe`UyrUG%>*9sVYmJj~kHC^UpDqn+1hoo%hD
zu#&R2qE|xl;2Cp4!13P-TIlroO8#SNY{;_E$t6?{><fSG5bm#{`I*5!eB!iNXWhuU
z_qZ%<Qev`2E!I#mD;uMQMmp?d@}poe>wSKVN-lO$-9RVhHJ8w625ec0I=lXz4D80r
z)!a1RLbnrCBZGsPFl2DrsPu>oO!)T+JI3#zLUxYf0R=2rj^d-yi=EQ&$GSydoQ?`B
ztKjpzM#GL-i#quyosx#XV~q3O&eWJ>Qq5Ru&Oz*W-FnNyJPx==4h3ru(O@ZW9ZBkX
zoY)76?WimFaL|oxD1N^|hYgh_TlszF!UlQrgfw+<AiDO`Y}||iYZ7e`dvS{gTYY@8
zq;f?HSld&&ObnT@=vpNb;>m~IMr=o7>!g6ec9;Y2!GbZ=h&{a-%8yOyOSE(*N`YJ+
zO~_gY8<zOJq3#bVi1AuH7hMRJ0-M%BFKfqxnCu))`KY=GcB7Gsb!1;JnYN_F32<WK
zZC-@faWU-by${0zsZy{Sl4A9shzr{}$6kBXO#=HL009606qjc_mX8<4?UlW^$KE{l
z2=_5cB`Q(okCGW>MwH4-Lb7L4lD)F!z9Tc)3fUtvLUtK{|M%x}eXbYhoa=kt6i`;G
z{UQis-$=ARnKEO|YI}85e+962VsFqGAt4wQvXi<k#fnL}{26*&AcTo-(`zW_2!RJ@
z!Yfpg9dpcEb#e+2!MYxeCv%txgDtCObc`t{wwmek!`(>?ThqNL_efO)G#Rl6yan8t
zF6o!vnY$8Lwxu-qTZn>x08RL`6dz{n`TUb&loXa5B2?1ZBnH-QMAmGpIP8<UQE+Un
z42GTGGfMN9fS<!7w0Fz|u=Lt@6$L(cEV09<i78SF$dbuN9KQ)-D`}Wf_cJ*xvUI7r
z>_7%^BY#br?1V9)8j04Qaq`$Danl6ZWjx$l&NFKJCxZRCDwOgmOaYrN|Gvf-Ef4+=
zyV97G#V{u)ax<&zikN5j_e*?^if|$KXNNal0(%{?C4Y8L5&J|PDW>M73`?ygHs9(b
zu^L1HwXjse{=FzIX)92L3EV{;4@qfkuxCYN##0H4q-_ryB|Qy}43|5^d}J`qr4R}_
z1trWLp~*b*(1ftBml748$zto*R)nhJ6tSbUm$K<&2spT|)d$PqvEr+-WCyVdm@wgn
z;ZrtkkVFyw26sG`@t1@-T}~c*^w{Y_vzQKGZrXF3VR+1YM-}J%5RYkf25%R!>O%JM
zJt3((c<h2c_n&YYY3zpzr~L4DU8r!q)RiQR#}xcrHjdiFu#BFNxh{J>ND9q!3$~WU
z(i*AX&shp#JGNC1u#bA6&$MAS&MAZ8$2sfTw)n8CyIOU{Q+i;pqA>C}S_)(DS*7L7
zWW#)HoA(y_^<Wq^DY@1vf#K*vzCT{4!;*N0wB^(EAk;{=uDDMOBjwan?Y>Eb8KlKN
zuhu@%w@#9$!bGsDrY}0<RLiJK;c@Z5Ze3`O7&K?e62cmyLNnIXzayQSC1#`sx?pMl
zi*g}Q04sdyMRs&^8=*{^rs-+Wf!;H>h9ezuSjyA8L;<Y?aDUDB0fB@L5S&uHSJ1+Z
zb<+2VZ&;Cno_OriOrkbm4ur3of3ss>uk|F*mr}q)q0P)gGHqbjF^~<v%7S(C(r{n@
zO9eyBPd|6~12msuwSK<OfJunycFA~Bg9Pxz5Bx$PC0=RaM=K51C;q3O;T#PxRfv_e
zEolKqsa1Bf00kx{qB+@>Ljx`k9@M_x(}d7J%DT^piLsxfq|uLyX@EjP;5IpvCQL|b
zrQ5b1ppTuRuCY9#0Wk>`Awx9{D88O@H{ELsm1D@YUy`ALA){>4ESJ+T{MUtraQ_#2
zJjJ4$+Di>ShgR+a@6^F`j9AEDX#_QOW^idd@p<2ogzIQY4Y1bUL!O86XlGxGa1M?d
z&Z{XW+)-77Ulbv4`b7tk(aMKan=_{%BJ*EVYm_P|r}{jT`Y?;^xC+e4W2c~XCAGj~
zNd**ona%2Mt{_Z(dI4uYo&s80qYGPxDiCSHJ5$B~2XTCxY1cP?3cLosFfCOpgE%oS
zZo7UP`4vU`@Tm|rMCS=IlZYvUr~b_4Cc1q@WY#kLUK};p7mZetWhz0u3QbS8<N*>W
zx~HZfMFVG)*?+fjD1qO2_3dNsV?=pQ$&YTG2HwAO%acx1grLnSHLg7ZxXeLvQFV$I
zmX{<;qy!Y<gX2PgnHdr2Gn>%#AJPFCmNwZ|tN;=83HlE|5JR^Z;zpK34@%dIX6UpP
z;Hrl?iyH$e*b)`K;jm)>pGg@_!4Y{N{#@)*=|u)HoR4=#)EMDc4@-xPuRLh!3)H7f
zk^_m4w=k0g6EHs7kG#Vr57Tc<9C^(t!Jg_>a*iT1ywDo_Dbp$kI=97x8Rt&+3BV%6
zf(2+!uX1$z$^nhTC<A*4HE?Z2)|95RLj2qgYa?C`OmRF8`5LqkDV%PqaKHv#{Et$?
zHt_InR7EtFf*xF?Ck+|>IiPX>qJLW*9{79Zhb)O0pg2JDSeK0pWV&*tPDkNk^6tT3
zgoY8wh=?aL2Du@3O88=}Gae$>aoHbEeET{$<u{h|LZ`(S7PTvQ82xf9jNOVE<{SQH
z@0;OZJWe)gKo1WE+}o!LvRQy9NUM~}nID9#&z)~Mg9m(p){UTJRv_r{%aV%_0E+z2
zWp_;R@bewz%|I`9P>@Zed0!(4t{=@qulnG@NOGf3<(LDW80*-G><ED+TK<YH7Y}J~
zJYOtla{;_|2>y(Sfb8zvf!_)qio3su-T03O<O(>ezrPfP3l^0%XY}RZi~GEO51tRu
zr7^5~Sq!}2%k5vRl>^#?N^{HSI3U?xS*1NI0l7DiUY*yIhq2PZx~T|$$YwRWHk2j_
z2LZCREx+Vp-X!9_VT=Imd5m4=|0xAy+_$#3^A(`K&mhJ=RS+omF8LI5%Rq7up;**Y
zMYve=->(brg#f#)@|9Fs7ACRM;io}L@Fe1XokyiGq{Q4&`_6<13AU#p`$@`h?gh>^
z{i6s>ywK0p@xnucvZmmdRuy>NS|>D9FA6vb@64<UJO~Tfm&cz{1N_T4fzSD3P+d^R
z^s)yJb8&=0zBkn2fJkb~I7A$1i*?1FoA7YU%p1qvbQ&&oXht~boP49lE`MG<#lv4o
zMZ-E_O{ko7Gh3LD04f!)KtmiJTsYfO!h*G+O8w>yVG~KXXhcZJz$6QDgljba`VhFJ
zI&@b#LlT4yOcf2Hq~T{!tQi&zU}8n%Zd@e^8aaZY!8MYQNrd%B(rCj-4zsY}$^4a!
zAANk;;&5lu);K6g8^$Gl`wlKkf|FHH%g{;Q6U+J4RZMCFLlK(0+b;orKML>N-4=q*
zEzb2Tf;!O5Is0Q?SOV~E4SJTL0zhEx^|$q+4#>W;5)(BNhs8y*R&^d6tl0jJ%eT^j
z+cu8wHdn+T&0TF!FO3T%_~fuu6CLPZt@_HLEDCs?w{_O%*x>&3hlFEg9q8or;<O_c
zf&a$h=Si+H!9SD0FQ3VDV7Wf0$pI6BH=k+zbF%4RSv33+Q=2vf&UDqVdJDou&fIgC
zpHRZ`@{?%h0BuOzzxHTONC3#})Q42hlYr-VMlL3-4XcrY%+bR*_#EUcT{(A*RELKj
zqa6Sj?&du|6y*cY1d}a-u|4FRS>X>eXMlS9+Qr~1ZeWxt)6p^BMC{85{9MQY%*u1N
zDC{`FJse5MQ2UL1s%@f~(L=y{YEef=o*nZ4uKJ(nTSU$*(bMrg)Pgf5-!`2@SwT8C
zfTG}d7MbErIj2^w35(<8Th4mSfbPd_SUsCYf+!{zZMQUFG!?7lc*Y3ZdF0xG_ofiT
zo>&VzB@G~&wtwZgM-R6D0T&iLg$&f__B8pQ25tANvOGL=P`dsjvD$wcN%W8w>-?+^
z;*sSNL5b9$=)h)FBsGiB=lHN@FsXxyyne$gb1ERP?B(I`nn!Lw+bq*_RD<^7tG0<Z
zDIn|5lV__ki-?i>-@i4eD#Y2mUD7BbgCzFA%r5<9B%)-ZXMtN44*HuL43$VBaFj_=
zwcs~$X?%3NHc$oBH{5!j?GQu$THL2O;SGd0?TDOpUK#9$Vk<^gh+t3C{MBjtO++(1
zvT*j2GE9XESDG;sLCB(=@GiqP;vW&iLyaoI0Io&rjx!+`>T@|Bi|-<J+DJ@*yb?rv
zdxsA!5<uHn?rOBzJ`&PWSj?ZV2%pg!zqA+v2&>xwTR^10ymy%S4@q-yBl{z)2tC8g
z8OoLf&`)T*9(R0*%-xE(IG3XUDLDOJ@ACwZdi25RgBAgtI=E4^C9VK+AtWlHW(3eI
zxb=rWnh;Q}a(<z5d6+uY&%PZ-0M?*>R&SjM9to3;`f167dLqeO(EtIA4^-5=bR>Ze
z;*_?dZaH`~5d86vCL#1)PIUadLkg;s(&yXl<ls)P^ni5>At=Z+;kvTOf!_BA;o1Qn
zk|Ovs#+`|P{(ExzkP{`GHmsYBPsPK4XR3I)Br$9ei$2#iJ_Vg`E6wIL@IcyT{Mh9b
z37ig)+Ap%D0jq~E+NIlN;q@nF?ior__`BcjJe5QT3iRY&BRE-zwcfd{B}NAS^?i$5
zKBR})Ag^+d5E<AHr9QplNDeV!LVnig7~%a+`f$UhG|VeG4W@Tez*y`qyIT<xST)A~
zdw*9NHaayjbd0H>);-<+k}M0%Q5{Gd?@Pf^SxYZ9AvHwIX@(-btU&+zWf0{{DM+jo
zUb!(s1KWw+^4>4m;cR-<u+?cPcv>KPdU%`;%A<!U82mV4eooYuZ&wm#`BHx+P%yv_
z9{+|hm>c@OZ|8fqNdn=i{uuVtjL?V=x~N#m3(Xc>M7_n5F#UPOe>$8Aj9UyRe}>~=
z;iBJThEhp*o1A^$be$O(8m<=(bnru6R-B@Lw<P3H`B{GQVFi*0o-c0T1YsIJ%QnzR
z!N}ua>9ZW{AXT9oL>(yv+X;!=e?6qYL_P5|_Jae?kc=l~Q=H`8BMI5|V=2fEmpjP)
z$OUcd0xZl)q7aoyG|AQ=4J!!0<VqtCl(iWD)=&@!miY7xu|gTBcs88*d4dn<S@(VO
zh9$uBUPhzkkSsi)O5Sdy;fLq9iHpsjNP+CRIEM$BC;YJBZNsM~0I%}8Tb>HbfUr{R
z%CeUn2r!l;-nuIY8zToPPwHiXi0Q_IT~~Q9t(acOC=!DEoh9E}((u6e)~s*pnF4&f
z>Eyh!CJb5oH`<QR$N^$uY&7~+5tz%5YTe{SA;Up8xMNTb93Hnd<|-<K)qQ<C1y?Z;
z5pc`cLFA$SST9PeK?SV8^Kcrbh{JMRLHF55@*r!BpYXI%10qIFj+Igg@M6RCh$H1;
zhX^rkW<3qP)ud5x^Cdz1;QjtbD|xszN}qatSOcEF%;)NPC<O=ElN-2oIk=|Uc%+-G
z1)naFO_K{qL%n;_c&V-&pjNzj(Lw-ndZk89G14GoQ<-REj)(U6oilE~0h(;n^k*??
zxTMynn&>72(+w2JUbZ$69Nf`2Dw76jN?sPePDv1|+ttw4&;egpCiW{f((rF#{F=d(
z7=+OU4%AobK=Omv*<)X%ASrdL2K^!oDoMXwvZ;09v7kcU<G+$HlfXJ|o+ki*B)@zX
z1YO{NA|)uXApxkjZ?lOwAAG|TO&MR&1@bvHs^V&K;CO9e5of>weyW|rlRCOUrN>As
ze_agD2BGvhlT6^_LSCBBt_v)h2I5agL_j$`uPK^<7T$k&J9Xx}4tN``@x`7KhIi!2
zN)PUzaITDD-NRrVxZA!IR9Pel1F7t7za0+{;!qF9Eq)zXSsTm<WDtP&QGc8njMow0
zwr7urtF)og&)L&B00+<W3vrX;qe%bgrQ3~Xw82*ILBZ=89vI9M*BZWAjuP*+OGNbn
zykpDSN?zv#&H97%>jY!yye#)@uoXaFrl3W+C_98`JEVPm{uA{f8n_zYi@?&atHZs|
zS>Wp{+LZS`E9l#3(s#5gTHxF8G-6DE3919c_NqD8QD4DDhh1tda4HQ@Wm={Op05=m
zRy-T%a&?`joT4Ud5^~s<b<%*Q)vqHtuMPAezDii?rUtNn-xVO?r-JO_(Jw`3Hqc~i
z|MO%?r(tzdZ&ZGW4DJTC+P|n?NBiSNg7W&+q2(u4HhzW}TExWIXFJ!>!q1Ki6U^%H
ze)blPybd9}Gaz#L*0qX$uh9KwZLJ0?xmP3qjUOUeIz5Z8QkGG!>=yoS1*$;xlBwAI
z^FGo?*51`%_zTTD(5u-wR)IpNb%|Pu9b_lP)vf>NC;E1%t;oY%1)Lhz^xl(fA`e$j
zrA{==p=Vg%-aR_$Q=fW%@F8c{5h&^k)r*@!Eh7l(EVz_`AWUmKqJ0_3l9ZpWjF>{l
zWQ;yt2v&lTmmWpY?-!8!KCbSY=f~0I!inkRHAT>)YacM=m_x)_e?*G*jG*1)PiR?e
z6=5-K#!Q)V8cE$v`IY(h8+sGBAs9cX07$9vFRXVAS@Xtyx9b={b2PeD*Dfl62U8%~
z@#SG8?NZ)qp?V)`@65JG)NyjJQs<{q?++pud;Zi;FMdT8SCnZ=&dGxS|4hNGLLcH=
zSKU=P+kq}CdA=R`A_trV^R}tqyO47lgQgcOThaTS?Z+0za&Xgj-O7!x9bq*1QdFnc
zjJ~ew<P{#ngNLa$pB?Tq^6trR4cP<?{g)!`%XQLg9#jABd5L0(i%EBvVMqgtUB2jR
z_(v9Kt9Tx&eW^!~3;i}%gKN+`qO#UE*kvIaW!rytP=%NZlF<w>SEA0f=z+eT%*mZq
z8Q|B;5%OsZ+kDY-w5aU0@vx6H&{+{{YSWh>-4O$n!Dc0BsFGvPQlS(~PGRdZrg=!%
zJfjVVcmdkOd#GssOA^e>q>pHW-y)vrk^>~~bJ6QwR|AeDB;l}IW=F+43n`tPc4tQ4
zqH?a!>#95?;NC)x0zX44(wUZ6*JY874wqSR*nAX+v9@;4*z@s-DfMKml1mmEI+V~j
zL?aG=q~&XKTcZ)%D|H?QA2U#sOvaY|n_^(XgX7q93q#)7`zLZ=PeXmi-Q)@yMB&<B
zw;uiHfk@TZcx%k_6jU{Y@mD9OD0siS+nX)riR|v)Rc<jzMlbhX&R2gZ0y0Svm-IcX
zk*Cwhf19C6sGh4j>G-TLSUGP5#nfn{?XB+qtg=a{;R>5+f{`#py*n}>eQ%HY`h2K;
zubG72xN)sc|KkbomtCk}t@cEPO&;jk<tL%;BZJH%vO>@=Ow{y=*&prZ5hbH=Pe#9)
zKR%LqCkQ?F%_v->9;2uDEdD7(rl1tva;>r_xoUGtJo@)uFv`vmRi^eg6(uEVacRmB
zfSIpJ!;CiJ=!@L-Wa5wMD80+g#BN>zC>{0EbLoAC(!%BT!@*3{%x5=6;|)JtVQZhW
zw2DSEo|3x;XJ?_&1*1;e68sS8)`m1w#G(m=luZ>B*=PxAYWz$k4rmex_^FRyqAeW0
z&Wo?!pwYkoocpbd16KY?SvvLvbeEm*eCh2RwBXKS3|T%O45mk%U$96*nH@ipTyxJw
zkM$C}IQn_P;8h{+XLkx}aE;l0u{;m8p$wq=ear*y(WG}O1JY5~<apk*YK3U`Xs(Kt
z0uN}&r26|hze0!c=S8HbO3)1Ku9B83H%y2u40~OEjdp7AbG&6OLv!X5N$%!z!Po%d
z`bU;GsA!rAMea~JN@z)x+qudK;p;;GHB;uGF}4Bz6m1{SyL5l~WRy99o%))TjC?M7
zf%Klm<@G9bUWCcrH<$w&>8ze<B;=uldlUJU*K5(H{fXGnA$E8>?lL@d;%`COIaiLP
z0ZpR{@>P{$hv7NbxYwd3X!j@G2MLFb=<W?0N{?_h*w8+$`9h%#o!%jIy(01nW!j_@
zVOU^=?!*zHIf4qb-Pn8}?yw0ZFIj%`?*c32B}=L>5LTjQj|OsSsanwbTLC7_6)Z62
zwNAIIR*epH9j(q^X+x(ifeQFoAYbmCgkX6sdh_C)hP@vhXvjD7*SBJr|KEG5f4VoI
zYDD$7cT2j^jl%L%&cw_Rrkg$Q5{RN#iGl+keCt6KvB(=r0Zec<)%9@E;}fd+>(lx8
z!anqeq}y)!4kIjEykyHYZAR_&S0-#<51_1>o&H@ujF57Pm{QQa1ts1QF)ipBLWi9G
zvfkNa00%_^_lCAM)HTF{NI`2DjadqN8yd&}`z6=*;_N!n*w6%{(5+GQ2KTLbq7xp~
zkwc@h4Zfo7>eX(n|He_%eWkwd@$_&-b|K$cuNNIWb0fUCXbNpRpS8UwL=U`0Ty`%Q
z`_WAYtY9x@2HhHwnXGrG1M)WosiQ1|XroX~%k}&@G&8S{oFwxk|NH&lg`0dsccAR%
zUE&3FkS6G3M;{HyN{%}v3=N~%ciwRnXa7PIwtL9gsA*uq(2Mtb)(@0c_*stqixo8d
ze$6hCAvKJIM-9`W6R0tnMcw?+8d^|vobn<56zpFQ*d^haMlFIAmbw}@&^hz`T!&dI
zD7Z>$WlKAYF2+dW5;``~C?|3uS2ZfwYC2wNP@6}445u#iGVGwjs`mwzlPF;}T(4y>
zX94xOM!(dSxrZt*Hj!8!Qb6D9lBZ1;OQ^}q3BD}9e`vi*j^8U+3P`*2{7#weDw-Tg
z`snWaBQ(LPtAp?-IjD0z_)%iJj+$@BU6$e|#NNC;_ovN;9NM_4`<iwCpp!imIsF{O
zSb^_vsn`QDke;5u7i+VH`rf87@wiHgF=%cL-_9U|vdTr<*18>3oiFL{Q4cw0k=0qb
zeu)hHN-Spkt@hEGr0*j5Br2?3fUNQs8yV0f#cmuJ9-ueB4*m@;qrv#;_@`!eNg+JY
z=RdEcV>FUtk3%$`9#iiKWqond+bqPEZ<W3##FmF%noa~UV)wfR%SSoL;DTk>%fMn{
ztaa;Ut4lsJb}RmwL%TB>WE#BYGTI}>7+*e7sHA7Z_#1xAn5>h*iU_Ukk5CHi4yBvX
zVLb;{5lsDMww4^M310^I{C5h|yc)C8Sk8^rPy1Q64^e=ZHSOST1TD5ZFDw`Kj}MDq
zdxXqgqk^ixpQfxR7%*403x}rN{1`#L@I7l2YEXYbyHkD0hzU=ATHpIBh>b0Mp>SHF
z1?qUWmIvZ2nA<x|*Zm`5%#F%9DvE~zj2y~$C|<B(_)GZoqMKsa)(u^aEEOi0^1O26
zjuIzk{z3Kq%AN$aN5~NI_y-GoGi>R=@$g_j8ANL=QE6<kZ%my}m;*Mic9=B@;V=(J
z_60pNJoe34NkdGL2ZCx6FBFdRW3*G;X|B_9Sf1gft`Zi0a3Bs%yk8@T1-P?&yz)}O
z44#lrq_GKse^K7u{BmK8mG6|}9<dTe_*0HBw@efcbK+K?wuxftiey4*!OGb0TPqwI
zo03p!TVNHpCXOlRu{K|yRKXHem`|Vg!o$|BjoDQ`Da>z^oWK2872|5k)eAkV0BtH?
zCHK$EU~444-{m{iu$6kQv4?KT&}AHrrAgzl)ZGxzhXU%D*1J#aUq{q{)a@{Jm{$(l
za(ORg@>>o2+d!aA?xhK_LoY4|t;k{4cYOq`In=NVgS}w}kpS&(S~s|!$zxA7v&g=s
zs9+Q{`dnWx>cB&u5)IZBd2CqfUR0pB66QJ`_2%hMU6@$;{78dR0VAQsE%-IcW4kZD
zP!Q;x0m~4kmV+Pin4?pGlz^%%W;D0<li%<xZ2uv3xnd`eQ5}2PdijZA{b5Sw;)iE}
z^W1L_;x}?wb5?ZOjW_(*A3L{bp3C}>S@GFj=?xyc_H@p{Plgq{Y+C@2FX}`0i?z_)
z2^s9Pao_Bh2P9aX8V9k<@mctWW9l>)m%<39#2M_=-XKVr9B0k_v!KY-`i4+P9OGsX
zS*d$N2;p&;^d-KYfv)ejykm7luzwLF4_}4S!Gm54e^#n9pceRXy;@rk(<BU3J7#Br
zs?J?<LM=To&{n3~yn@3hFUdz$lXHOO8FmLIFI{+LqEYsWhzkpBf5DR3$psZWuT<4a
zbwGZzS=F$D1uNCR6&9Jn1LbF*f6Ca`2Jf@o;yO+A7~RK$&?nWrFgu?iWOPLvqWnsg
zf^Sn`_OH_}i=N|ykxK2{;c9>jiG%LhyaX80BxMqnFCX-5<<bvI0Sw6`xHT$lpj|Dw
zH#Y6~0B;wMy!a1+%T($7MY><n*ZiwLK8y0fgy)d+dVm(J9GefA|D8hS%nny$hj@X4
zk`5<Pq6xP-ch1+EZz6OtAD}FN7mR*oQde(lz%yP0#rji+2vhwMbCnP;yl+p}HZatH
z6dR9Nfe|9;VO>em9p-^m%6zf;iqk-x+OfD<Nd}MWdt+<Uc;Hs0XMdmQX}~l>za2?X
zfsK;=w~wAY@a*f-&HP+-Sd?U$;XF$NIHV&x*M<k|;;(cY%BzE)?gvjMDtegR5HRYu
z<AKxv7I%kR)!@)*JT~Am1B~))Dvdqj0r7vBPv$K(n9ovc%ne`!Kkvp<-zs?E=^33e
z-cxF@DkZSz`GN`lIl4~TpK#BeLkEnYP8E`)&l)MkF@tK3)$^$vyl}h8nS<Ix6*`2j
zhjfIq0JD65vgIf*6yChfCx};t1CE}=I1g6PNh!qDI`Y8<n+y-FT@`pC^*J>BDjQ@v
zGKF3z!NDUgk_o3)6_}|Q+n2?&L&QaQn778kMXRx%`V1A&ihgwO10@IaM@#6`pg8bW
z5Ms4@r~+$iA@dW{9N<rt!S!2=A0p30{<vqa0+bKgt#Ngn@KcefB`TR8n#PNYw63YZ
z+1M<Ggg7p!Hf(bWr4azDCK>O=ODaI19p+7bmmBJ0`c`to1R#j;j>daq6>z>D7X9ZU
z59~8@h2#?nLRibo=A!>jbjIw<f~9$3Y2izfz+*vh=Bh5nd8>d}&O}}sJs(thPFsZ>
z3Ic8;#)&)b#Ls>I+@5VdxT1W)L*Tv;L_So{DX3S0U@Z$;r8_v7{`6o{W<v<Z^+b}J
zS5@GD00030{}h*bSd48ShKov;w|$zeso5(eMKjYfGgoM#luFqm*&-EMiL@`WQ_><L
zw7s&VLbRYHrAU#eq)nkBgnGZ{`}aQX<9>e6c3$U|@vC9<b{7-l&Z_<QH}epo>pLdV
z7a?V`PN8Nc3pp!}4?b<+;r?8WzSq7Yyi?^ayI9S_t}J?`bUq(FMN<v+?up>IK69C;
zfQ_9ljn^h)`KUMOe2}JMimzT#RGCX`tm;hH_*&10ZDKmZ-`5mtX398t&g5Wu*3`UN
z3c85jw|SzX(G=?fE}OXcabP{2@on#1UAVsN*zRp=hTF47mYjLY0k!U-{V}O7LUr2)
z*jLPu5?}E6qc#`K1LE9oVqGM>QvVY`G6&z{;nhDoxL`Wiy(;AEqM)E>yfW4tZ@oC;
z>^v?O&Yd!3HqOUp&Yp`a$IQXjH#_p6gNqd%&Iw0u^O4H>G~~I-0w-i1*V-xa;1b#B
zz;owg+KCnYv^ooH@{0)C%i+QQoxypvFFaJrY#h5|AjWh<+M&zyc_?_yNFVg!;p!8w
z(<c+eaLYZVx7(11GfT3JYTCF6qR|>@ZDJS?#jGgN;bBzXB4~~o7prd;dQM?UKpRV<
zo|om}T=WC&pGP@pIF%f|z+D25ujd?2z9QySxRzu6hK<J7*RMMgC3tJU-_ksTxZm)o
zS8h6N*q)m9I=VoDbxx6g65P0WYFK+^+h!ItYp0#+tB~M|{ytKsJQu^19o1<$On5&d
z{h&XQV7?M7?^zxPy>){to^<QrRi)NsV3h=6y)7e&HXNw0nLOMQt&NPSRIkYE66_oK
z#@YUk4KuNBmaKq**vdoqWKK&^vYBTl>&M2a>Al{1lXQ$)ctyPSmSEw!*}NaWS!l>N
zIN{Mj!`JnvmQFX7K;V9Eup^cQ`BRAs-``S^UZJ=lds2-4hP6tzDl9Ms$7ThOQSe4C
z*QcsXjLu*WzpQj7<WsB8Je^B{kJXVY`vb*z5i#1hNS_Jy+A5M|6d5Z^vUYUw#Ry=o
zQ>YHq!Fd^WTK<?OypG01jyGGNdDS{4gA3YtxuqmMBu*3g`h9(O!!7VJB-r*`3j?y9
zXD1&o(8Shb;<lN37SM>)UvZ1dz_ScTyU4#JIGIqCD;vyFvF*U(C*E3+d$7}MPX`H;
zR>@800?pB?-h5~5DILo!pKP~(OG1Hp+0&IYbEujGHPFoI*gC7n{m~Z^*x&D19jY+H
z2J0<tUH52kTzLMUQxr|e$QwRv^fJS=7s0XB%V`*VGW_|#Doxmk>q?4L%&_e7_ip+K
z6-GN${5IxkLao$!ZP7hbq=vL_R=YyQE3I=fhAL!yR$t^}y~7l@-?pr|??VMkZ$#@`
zJQ=x=d}*VaA}t_wI>m~LrgMkm8&oLpls71DuNQ%P`jGMrLn?fo%GkehDX>kEcHWE?
z!KSjAx^p%aH9iWFrOs3&y6w}fvJ`=n($^y|q@wbL(~hk(Xn0^2lJ7f31oxHe52UT6
z;>&jVK=(!(oE*|(DNlq@2-%j~5k<v08N1HEm*}Wlys4FUT8LQd@SD+<R4l%6>F$LX
zEo`mrzA(O72u7^8{ah6qe#B^cC+}fk%9@Gqzs!Uf-KEqL<VVAXF{M&<Z*9nmHvTz8
z5kg;Y-TRTZG#np(wO#0|1NZ!vE9w&hT-2aXa97ij^Ql|<$AXCq<wr;p{Q@vTY87KX
z&=GnwNB>9-6V}<q#|zp8Fe^wc-W{ri&l{>&oN;C0)2VTC+-m_evlNO=bQoyUJ04)!
z%fhmS4<iPM{b9*X8>Tcea5qJ&dvY%uY+A~1!%qT;rD4jwhqdwDy3zUn{M)R3T{Txm
zh%~nT<~k=GaPk^=Z$8Jtm~j#*g(-y5H&Uso3h_O^;|*vTaN*(fYH;>4A!uPPS48`X
zxi?5UdP}*;*_gCCJWPn>l7p)115Er_-1_FLgonVo>n~5=72>7BTFs8tEF1~hT_C;B
z!)=*%6&qO*Oh1){rqr@vmnfEhV8qA$J?H(MoJ0s2rR31f*cg^RA2Cnk<JfrpEoq(z
zb?Iww&(CG!TFl&I5#RZ6+_!-5H`5e0A2~(QBo2lzmUOR{=ptXo@`qfYDNZOT`u!Wm
zLEzqd5AuR^;cfNl%h(4~WLa}=2s=5*o!a{S&{<t<blzqD*Ub#f&=g^|ITy>!O5u1}
z7n{aq(lZ;(;5T1N4?4!hK;ewY!Zcl|-7)rDXlstBdmF9_TDdSHpK5Ok(Z$JwErFja
z%`yIXvoKME2Q5h`b+d&o{J*GLzcaPK++dwTBP$+;p162r_wx}ZVeeMFW&za#-`}+D
zJk-3n@i!oh4+p=w{()KqpX0X=c^}|m5p5<M{_@}?_w}+UT8u?+tm@+;c{u+nq0HKg
zhwEB7TaR~&aq>s|5Iuy4;%~2C{Hox>qNCoV*I0sR<A$r;^*jvrWwq{}#f9%$`=^6@
zB}f*U2Yp(=1LrVzrt)$Q9v(IOn07;gWu&b&a(}rnk6-1xEsl*Hj<c6qwo6dvS^H>Z
zF&AlaT20h47JLS)cSZe@;9>t=+T><}=a(w;?u;;Twr{Y@RY3~DxQ@qq1uiDbIQ`kP
znK-OkRU}KSr+zg$|2LC^%S+kb?_O$S)j!i~REcv=SNv^^Gvr{E;Kp#$76u+|b<Vec
zCqcoy<K1`fu(74|@9K$}TA1mx!Tf5m1e#5&bUdVN?4v00?$^`cd}F9i7%M^FsOD~y
zDi%^DpFEQasMyo*)TX~of`A%Nm663Pd^9@h;+01Mx$OD-n+g*2J6`QKsAj^TP|@4z
z2^r^Ro-b7-I3MtEQ~i!*Obn}QjNDfs!~ICn=$f5kgjEGC`|pwt=$5r|F<Ujk%!wba
zA&If><jTjkW!e~6BE2y6BMFZJ77uMIv%sD<|K)WZ42<Nu$u5c{!NtKUS$Cra7Q`^F
zx~MR4d}E@LoCOKf?l>w<%35IYLDTe2j#`*6ozm8$MndlOX1Ti;&G8_2(9tN94#%Uj
z%KhX>Fc3}2pf5Iu{c6Rr;t3kuWjy;>$|Piugbp=!n<4u2KKnv~OZ}s}79BPs;g)IH
zhmcq^+-qESIg8*nBg%oZ)SHCxb=y~5&@)5F$k=dS92Ly5wwG$9B$$6KRcfd=Mf9Fk
zxwq$0p<@}lw~VTZnAd*P{XwR9v&X<mdw>Fm%E61GW13Kc$w?}c*#9eW6TO&%1{?j)
zDH>$-&G$<qHHh#$^T@H2$rOAnYWkv3K!(@9)vB%GB4iajF?Efnfb!kE>8T3^L1`Uo
z4^2dH>G##2cbI~%pnx)qnM5wno#H4S7Giqu_}aD$6nrT$TK1@k3cB4c<J>|a^e#S=
zQ+YyxU1b2P=?V=-7RfE%fkG&{bXFXcp`!Y#P4mk`bdW7$9`s3sxZm6J@%d6JF4;7w
z2?)Nf=0vTDS0*?nTrum)B`Turk`_6K5bte4mDR0Y0qRxi-lYFS!`qK{6TBm|5o~B+
z*ZN2R_cf<}SjH32+1_RK`6R+yCcjMe%oAXO8njAFg^nuwj0XQTOt9kD@XJ#KkWJds
zlzEj7N%=vS$sr~>+@E-EJSsr5e&!7Q<yxSHR!lXHVZo!f`N56D0<=W3+GJ%IaDD!?
zMNgZJX}9zJwN4A5sCd-CxtxKAi`yNViT~q|hPLL^Yyp&%2a|OYwb33W-SW$o1Cd<j
zf(H)-uyIJfV(p=WDIUI#dLtZs&X91=b_<XYrdW7an+a}S{;5ZYxcE?%Z~jD0h@8~C
zucuBjv1Rx3o4*-6z|hUX*ItN<A20gtr?D_KL6ugM&jY<#w;=w65T9fBZW}zvLV1#F
z_Bi3^<bbiV(f2~E8ujEj|72mct(Ai~pO053$Wa@FBIF+DmRs#2JTlGQheILwxukXV
z(o_*hqqX0Cdf4z(7|JmwxE-!}cF*srrf^E$w8CXI2XixS*N>O$V(3prOjxif4EJ0<
z>s!si(3=V+{tsQ~$8B=I@YNK?TNG89^SH>qOrDcL(nD77VBM&%88*2-J70a2i?N=$
z_NTS<;KA6FRr}Qp%fBR4J?Q2_x_t`k`gA>XY(M>bNq{+?sIAfnn8(A>9%VP}b|M#S
zv*xe;VGirS$_X#Rv(^7$uDEhq7q48)t-69O@Zo&uU)u~G{!GqLygy$TCbbD$FOOQl
z=|SJKu`;6PFub&m6!CGd-}rinml$i-rd>T&Pw;<zQ|>U6j|E{73m3l>gIXZ-;2^R7
z?bhgm-FtbcejQrDTqr?N-WtOg;+*NlZVj9VTpZMAk#{6W2wu;7QIy8RiQLGmX=5DR
zyHKP5s6hh$h7Vi9iF~P3xcBomn*;X#3d4m2hqvwM{gcDz;mVA@iHN0aTsV8Wl|E03
zX`NFVtXsHvQt;>>ML!neZkbp~t)*!DI=#ARFBgjnOA3vWnD}(BOR2&^ioB3V2M#H7
zq3rMUSrkrq?gIOE4O=OaSNM1(WN@(2D~&O&j{%>q2Nx%dr5LXrrk!RH?`z@4eQsN|
z;IsC9UXY3u><@-fX&2a7IhVOUf0BkMzrQKjT@vJ<egFIfosE_O|A_EnDrP^QJn{Uh
z1mAUEH@YXWfLryumma6!Qp=mYc3ULqnA)NFd=?9GbBY!pPb4GyOJetK3XyBYflE^3
zm{{tRx=l7$6VcpFhNm8jVOHatY%`UKo&@)Rv`-|o+}-f$n~xYPHnEKNDe535&d#*b
zfmlCuBDh9bj0KjW{`DknM23}Sc{gid*S8OMbPFvoZCP@wlOY4w|J=P~8mfUg$EuH#
z?Fr5==xJA5P52wfLoq|5fzVw`&PMi`<3lF<^sJL~?9(P&cI#*$Q{*Q!jWS2Ma^8Ur
zgg3SaZ<$!Fr2)~I>Un>)i2lg0aO)P*Fxy`<+|gJA*Oy3|0!z(sBdLRAdX<WkMTxxz
z8#S;y(|(tQs~JKLywj@Hr(#KSee>RI4UE<mzI*r06wEyyu8rjsgjvpMZk^D;8%w*f
z)+AH(iLQ5V+d)Bl>HELrog}axmi;&{GDXM2BFlI_1s&71Y~~J<5M}H1=u(FW!aCUu
zjh|#VB=ii=3DZP}s@$Mmq6pEI_f~hdkr8~g$I+2VJpXkLArm4Ie!j1`bFGO?++WSA
z!IxzG992lB4+(L8((1I?TQV;0Z~Mn5g#z>Q|Nd6Y7NVxxmLww1A1SiaaPX$0=Uo(2
z-&08BUURM+kAhvdgS^T1G#p}mU)04BBJY6SkmXhitdSPvXhFxrs~hK~4hgVk*5~_K
zL>~Fu)~pXU(*lXKpz+>40Y;KW!>Lp%;gNpTf2<hjD(#9ZIVr&Qv-1P3k5KXXY5c&#
z4cah|xT8DiCqR5skHdXs8tha;b)2Jgz%YrwCbv=m6{qM4g-bL{xBoqwyPApMW!n=L
zSqk8pQl6h-MaRjepsN4A6W`sOgWKl|1#teWr`G+0j`e;ID|aNbV4yEJZ7mQ$baSUR
zuUHE*o!9A;A~yECD?a>NB0%jQ?^(y97^uui*qQyFjjB;w<uWG$%DS3VIP0{L*cH*B
z63anH$Q%0+VosX&L}i&o2m7j2UzgA3;<WE=yU{ZOblW70Wi**kI-v6ATRj))d5o~B
zPX#DJ@zj4$FyU)<XyO*Zv%QCBMmj1AvEt*U-=Rt@M9?!|)ywgb!<i!LbP{4XawK}g
zF&0)CdH23K%|~p#m2=7!A(qwVUC~o!qiAhd`(m;#)LY+Q<tvCV7RM`%J5J=5{=i4K
zBf9u{S?QtTZV`U5%=S!G;-H$ui+32-g{#q9UTC)n^?jLT(+_b_JTIB#13lE2TYL@h
zFvW{$;gJKA99+CHbEitE9s&|9&gKw4pI*5s?Y%D-Gv-fU_$Eycuc?!9(L2phbbZ!L
zS~C}GoqvQ@T+l;|t*P$ZUuO8X#b9H-ArBJ~&X+9`^|1WYe3hedM2}u^;F~a<2cP!B
zvm4y>Fg+|V%tONhN9iG{w<~yPbIaL1D5povab>Fcc?;ZXi<sUp%0rJwJ!{t)U6gNM
z{5OXyhF#BZ&Jqnix^IN#S<TYL7wf!2vx{PMJeZ@!<??au8DAxJJD>2GiMJO>5-imz
ziGI%F!%mgs>T->T#ZSV9st!o-ZseAY!asa8%Ji4Wb#bBDx`o{QN&=bBz3qcN#Qb$0
z73FeVY=8I9%`G|vKRu^vEB?zvrs}2JpBWqkFPXC5Z?zP;?{kV4Z|32qadM}&5gSjA
zSnIEikm7*Beap`2JS-4*Y-n4=!Xdk?0GSjiSQGq4pNm{{s;{2EXB89P;=HDd8B$Q%
zn43$8JZ(Udw6I4TuLEO$cAk`?wl(a0*>w)?*mfl=88PrO)Tb*qM2b6W{j<)@Cg#{}
zq}XzXj=g1?<+B~7@Y%9>nolMhhHIbi&85@8onNbSpDG1awx6<5iH!}5pX?j2qF}Yx
zvs<rTOW-gt_AurE3n9gaj;bCf!$i*R`uC#}80`Nw(C~?ggy$0}#*v!1wZ`_ySu+Xb
zrYTzevyO=!7pA4(P9;GpJSunr(U0V(Z~gG_oDP~FI!;~iS_3;6fhn8_G1PuK{yuPA
z8_DO+F3C67z%xqgkALZ6e9_q-|L7<KMpvTeUaL~arRM>+{@fyX-a-w!ou-AGp=#5^
zcdDcM&RZUJnFW@954tv^l#cMwA>V}y)gd!H8vf(GIo7`#apm>V5af_F{(`2Ckcm&>
zI|#2pL+^DBeHz+4x<)rK)Un)U?;Ar!bKFWBVxK=q#j?!}pJmL{aZpD=arB%S-nH4}
z+4WOUdoH14z)v0j$Q3TPHZeoue9!GWw^8u<xrcuAU3Ijx+Hc-!Fh$&l!8h!2GL|fH
zn&&~+K*rXf{vvNv1Z11;^S?kwCgYWy^n?bEJ^np@ce*J|H!Vn&xRVj+t5K&)A;EV}
z(qqE{5teV(UhOuQj7ht6wb2_Sc-1)z_Bs>)>C&7t`&7sv@BQ$IwO$j0HZAz^R|xsg
z*8}Sn$=KjoS1(5;_`N7Udq#l}ogeFCZ>p0Ky1wx-t%nSn{k9;@jY1gDmgjPe$vDWF
z{pe=}1umwFeg~*RERo#)v}Q9I4I>PH3!=vj8g?sReEomEskzHsCF9w$K%b+8=Z|EY
z92q_*fREkQmF0iQxFV<W^H3oj8jtmYUhNRz?CMnv$rd74idAK+s<jaH`-|a23jvIF
z^rbW3Q6R5m9h^VNz?RtuwT;LEu$DBQlk=kDZr`$ZXBaw=PaOzIA2-37jG<)*WoZbf
z+|O<@U}Ddk7Z;;GnjmqjY=wFO4Re+rXj}b)iGKorIeEV}!M=q#ZNhDI1kH{d%iqs}
ztLNMD)>kG7A#Gc<#83;FABryy=&>PFV|c*voe6aKjg|fi3@DMjnkHVek+{Fz-TA8t
zn$iPiwR~bgF4N^ydLjow23wNX%o1SL>OFMlx7r{Ze7P&M;G)dw#M`EY0_=-US(ntJ
zgTx@e8o41Z$nNALq#gh7FQmy>UnWjBCY>Bk;o;$%>V~bk0^D00x@pfhCf@INPRthb
z;XbhS*@rO!D#Q=={UPT5y;wtVsEv=}g;!b84njm0Gu#K|*$68Mzh1vn7Y~}1+h*Jn
zVs_O!*$#s98?%mo3HYLm*0Bqlrf@`<syOpsI|>IIzAtsy<e>-8S+8eaJ10U+{0hs6
za~wEasJRz<PY-tI<=!Z;O|fQ>-IUAVLa+URZOMOnSYz;W-|cIrIJhylwCxNR=lt%(
z*y-zIn-1AsWsw;++#cPeF^z|YnD2{gP4p3yT2{(vGs6}eVTlWoXKU1BtE@TtNdER@
zV_Kj&ZZ1mya{dty##WODqlfk2UyU+(WeX%0H9OIj_?R>A<psradbocrQt{Rm3ye9J
z&`36XL^x=sTI%be;ZobG4v`r9V+8x?etgi1KXe}=`2S`3HPls!F{iib_^c>C26p{C
zXwb)p;zN_n7E8iEWk>XR#Cm6xpn9z~AMKv1Ycp<1(4Dz(awc)kEY`$JdGK(uvwzAg
zO(}%Dgvi%cd>r&0S1w<{MY2}4Vz`$SR~!Q`YRurHM(i#hLG-&QRJ7Dwk)mSJfWe)6
zJnY~5HQ(Qbjf-nvoHu<bh2L|k8qb}Ft5sgFOB`8<$@UA)8Ils7*2q%%%!P+~fxnR>
z6H^LbEZFo-iYLs|D?@j4@n>c2vz!8LSY7}8i`g$lm%QlS*?tbz{?2!p@j?sTLvI7e
z>!j$m)!bXTii69accsaY2;VtLv9`V-#f!a^$yF6>n7?%I%?zbNQ@kec)HW%y<TI|{
z<+71}Gw=Q>1;RJ$zD|o{O2J<&Utt{2LSU?liSV8#l$lW(P0u9=uqkip9bkg5AGxiV
z;CYdapB^h%f-jc~yBZysNL}aWxbUI|%#;3`R3h>;wP^Pr-(5QBjI{`ve5sCx-RGj|
z*TiVfJ9^*2UK?sE-Mh*R)L~`e_VVf?F*4&P%03Gi$k^k+&iq#m2R_Qo`S#KRE57EQ
zj5gAOY&rK~tdkm)T%ShKHd{bHH0xu#n2sIwYW%rmHLQ8x^O8DZ4r-s!X487Y5A)Zz
zOa7|ju3u?f!$EWGqr1IjouooE<t};eq$>PU>r#KuGDpM3i?iC^P+(u?UvQnS28Yfg
zy0#f+==keeDkq{Kc%lE(A>z6zx?dEQ8<?TMO~dj-J{ex=ZR{=Q)j)68TXn3$6ui$K
zvtvxi&|Rn{jGLkk)_>nxquorQ9I|_~rCAdf%?D%u>{G{o*}wj#eHCHN!h~OWhcxl+
zs;nqmP6J{~+uNo`M5vYauPAfT1k>_)OH!5w-ch`JE9QzIrLPaZW2_1GrQKnwD@dp=
zuF5>tB*d>c*JfM3Cg$`!Xp2|YME`F+d71q})Osq;{b!ygg0h1aCv<3HW8~1x0DU2P
zOh3HMS*nQ=Hh1!VIT@4%PljyX3D6(;Lak!2Cc@6RcJ>xhu(smRo)3ht{<Xa@K7N<z
z6-QmHo)%KE;!E?4d^Z71j0@h%5V=!nV!h6=oCd8`2X84e1dwg%b&CukBTqBn-ivp1
z<d$Zn$9yt@tYYa|y%933nx&F;GZ`48-aHjkZUV)S!}(bUD5zP`^=G+_Hqjf!+>;q5
z@HxV1JxTNeHJ#pFvL|)m?{ve}ILZX<JOffv4HcVKgm%^hFtO;__TjPJCU|(wBV$1v
z4Mk69F+Xxyh%S6A_S<0sr!}JZo|SZ*=sL_-dCNj@OFMbK53&FI$OYL2T5xaC{^gX+
zMp?YlyvBVdc&htz=Up8J>UO8P1UPfhCsVYp<CF=E5?UfPXxfP0b@0e<6)rY3Y#;6^
zA#y?PMc6y04jRZOow?7sxNMZuuztV<O0CiEPE;l+_2pAL5_zyIedU<1E5O#`Hm&9>
zOhlLLuzh05$Kr^p&l&*&kSi-@4+~i+?DBqNFv7<V`*Tn4)CpjGy}-r4j)fg*f3~O*
ze5*5j<P>j2^tH&^BfmV@=wlo{EHu!=meg_Ac|>3P8eu#<{EdyEThdm8TY5;;_gq9F
z_`iAhPfi-qPyFV)y6xoZW8t@K-Sz*9;5)xz$#iut;=R|>c7*BUc~#i?dzPk<_I!Ue
zJB<s*t7En`clDv$RekyNdsC#895rd8@Nh|~^m6bUee8K3lhhMw25ZH-ga=1>I8~~A
zwWmcND;bIIZu;g}rr7nl=o=4l_6O(8yP=PDtwyg*Uzo#C@4vnTJ3bnQi4x+ak4uHS
zk6qelfz)uNXC|lkNct}(MSffl_T9I?hiQqCM=hs+d(4MiT#{a>mmbDylHXn_5u+_*
zdGOL6K1LkFt!@|TVw=0gLuFeDItKI8d0+XcuYGa1tD6tkBK_EorxK)3Jo?@DfsZvC
zhN3y+JdlOKIj6)@{LEAJ-BrOybgxRF&o~$2%kBx}Oex%68Bw$o_|V;wII`#y2kVme
zR(F4rq9k$IK&u(i7mC!5hBvWsS@U>Ggenjtkh}K#4G%U;_b;Ayn}v#i52qD5fNH+m
z#uZ*XjIpQsCZsX(I;nIUXEyM}I;-^WN8-C_>5mRq(!s9Ue*d|;K$w?ppqDEbJxe0=
zPyeTduJD{k#WcX|uE!Af9tYkbFSkrpp<|l+)-MtAKyTReGw+FfzZy5e>9L~1Q+A(C
zW1|#@X7{&Q>|ta1<B{sim&rJszG_uTf)xJw!G15RS@<6S0096043~F2)PEeu5z6K`
zd!56%v%=kR*1cqAWJ_ksXem-k{j|)c$Q~7v7DYu;64H>AB&#8Xj1U@1e)sR^@qK(B
zpYQka`8=QRr)XPhwX&f!gzq^JO6hC}z7ZG~S0v%*z^{V(2`StUTKpK-Z3%4~33bC5
zRov?|aI1JDiPYlz*F>T$L3;H3_|8HVbSEwHk|zlGo#bOLvCI;FbxX8Yfy$^n7Au>i
zM?lT0-!CQ7E%2eT^8F!QC5)C^*jD6AVDZ`PsTc(d@G&(7xkMFlGdDR|PEP{CjrWqG
zOU)5Iubu72t$^#siF~rd;%Iu<uBJjWM=yJ&2)BSd^c7s!jXw~_`Clhpx85+r-mlz~
z#+q`7@9L2qxg(Bjr>r1#V>38D+_0)~oh$@v^vsi9h(j|rA>?m^DS}K{Po*!&AR|pi
zdiOtZta0kgIO$-DCNI9ZSUwr7JTu;T!A=5$&JXf}x>&eeW4&=CUK;S9*kM;Dfln(g
zCk$_3;r6T0J+>m!aGCrj{z{gB62_{K({m;$y4Ts_dXoqxv)V&T=LmS@6?&-Qs0jil
z-#A>~LBs{$uc^;jk~mnGV%x4}g0f($+maO#s-kKYkzXY7Xgm2DvC$YAQAQ$NR3fH(
z*WGe1k;032vwNmOjB%;6`SSx!BG|G|UAUr%FgCbIy1Bv_)ui0`wI)P3mrgCSStE^r
z?u69(TTI9XZ!4w;5n&>_KX1xh2A=}DqawnYcpqN+?`IAXo%#7alV-9ws6^_LS7stp
zTCZpI7b0wiUbP!K$wA|$79R!}(6V__*=s8eW%mUCsx9*P%%yeFp_qZz-k|Y-I%&KS
zbr*8WSAg!*w5^qq3~;x7J#~UDgUh7ge*?XWm|tmCJZr^3MMv2vsYeDW3xD5nQI+AG
zAF#1hnE{;Zb?ZDL3++`3w^pX8z(y}I)}5CDDaY#1tJ!k6yW@&$N1Q66EGEkGX6Xn>
z>}G3-$m2|f+wDvy3DsMErYKL+VVu%pI5sYiITg1Yjo&1wCATJ~%+T@m-GzNieF~UJ
zyH}RbsD_f}OY`yE4E*SQo?6P;UuFG*%C_TVNQ9j+xU9rLg4~(dPs2)B6n{W)^;L%@
z>5JcGI|d%EC;J@dR>4@1=`MQ>4J`3lJ{FH>Kq=!~7C}lCwFBh0QqvkpT08sM{~-fw
zns5J!zNU(VJ>i8iHJU(Laps656Gdv57#$8I>?+z_>$Z!6B3gpr@Gd5nY6}1RG(tks
zI+j^DMGMV?lQABjnW!vk%+XC%!^-TX?-gxYhzp#1HN-g&&l9=n3luV@jLsXg1F4W&
zT3)v_VT`K%tM>UlBEyi;G$q_ag?OgUSVf`<n30VAIzj5lktXS{Frk6?>gV5+6c+R^
zNdHxxR>w<cZe6E18npS3C%=5n!iRzmvDUpBs5EkMbIPS*cMp9PBgGWz`>0h}^BRbB
zN*fi+pkd|Hz1PIpW=Q7|u~`wS3I3lkKR1Wc@M_|Zq316%d`rA@=*mM)tb7~1UQ3jQ
z!B(CV<=4$2`M7p~Axr_$G@D|bMulVXn}x&>3zY4sleuC=L5E0Tz^_p)q<r7DX04zl
zqObZIhp(qVHfmydw~`h{?Ytt&E?R;-`jwv@K|$f}yL^=f6!bSvF-(ovNY(AsOZTRL
z;+X$;Csh+4r_bg)Rj@JN9&6~LO+l4&i9MH)2J9_zAG!ztEn!Xae@8XpBCyr&)c_f8
z|HX<vSqaQmUog3sriqRA(z%soYVdzHy8FB{aKzV5i%HT%@b&fy-)$u1wDHZ>2LQ!c
zM}HnWr-6IJ?aC};RS2!!chWNiP_&vKHy6<W@4Ku}6Io?+ct@=r^8?&tY3)*x>hQXI
zb9Cv00$R@5d}BKTJ53rI_?pNN{4&V=(k_Ri3~f;>&VF|NiYb;5Bcn3da7u7g2KyKP
zYyK$$WE~j0qQ6!Rf(0Vk#T?G7Jn)tK{e+D^!ihL$5ea{nYQ%+ZNWqo-tfO-?8w~q3
zJD&}yB6iM6kPsq?Lw9$yp5<br`ys2*O;;6DGl^!pwgenpI{P9p%@SIUX&vo9l~IxT
z%>S{U1o-ZWuK6Nk2@i%G`F@EKBsZxHCY=+<wKLuwy#*Z3r*Qp<3sOW(=CL)$#KjS?
z$cU^^w1Cw<g~oll3J`21H~V;t!MyCQPH}-bhQ;OFuS&>6>U&@2>NlbgQdqX}iJUo<
z9NgB$3Cp3Q*vV^Oz9@?3I)g=W&7e1XZ|sw@EaZ1HN*|pS#j2|h>zOhf{)f$vC#{x&
zN6m+bLj$7l)$MyZkz<Nyu)1>ngfzDGK8(#+BZlmMSppB_O>t5G*VnD1MC^HKdMIgH
z41I^oUTK|YVdJe#?lS>IeC<2qX&Wq#=)NxDY%R{c*m|+LdsGVi6BaS|`o!UpP%ap8
z%LH4TL(a6HkOI9TQe@+130S+-|DLrr!CncGxxe;O*cU4<V<||$X5p$YX>W~@-FDex
zP)-V`ws*H?-6P<Ni}#x2JB*=fo$-2(oAbQy(x=ITl6dh@XcJS|7y+Rdj^199gus~F
zwna}VSm+H)4OKAleP=|=C4v+p16w-FI394dpDi8sVqzg7XI+q~6w=EmkH6|l<IwAp
zkOFQdZZ1=|+Zii`2$PBOAtM=_^&RBeaEpQ5j&i4ytx{-~b&Rcdl!dOr_{S0s&(re^
z5<+Q2T%C$CD%>dt<sCix9l8vZxUKnCTTFy!&-wkAuF50o%;7H~^K>{_NejB^NaJ%@
zuim$L1$0NGoc!2A#{rj-4GT}DA>`IM=j*NnyXdd4`U~m!=s2pDv`+?EecX|y_m$C>
zeYR>Uo{sM(qv>@Pve<WQ+fK5QD(37Z9GW-Lk!^3W-&;}+8^(qo&^hO~tk!wiiXb}b
zs8_Zx`y&TW0s6ME8zc<b_^9mVtk>ENcDc{V<9*Jj3vUzDV34K2?Ak&HIh3d8(mw?_
zuQOB+3m{{)fq%t^1Uk|+({$N#9R3FmnP-})gFrTX;(vvXM<qN%BG$_Aa_Mk9DXoE=
zKTI|54|L>s=4@`>r-F_|T^orx4HWCguHU1^z`CB7s{X;Mc>d@~=*}0KkfsdJI__p*
zAz$z7R(=vJDM31?ODK>Q`!@9PEdvkuPsw;yk+ANIr+UveEj)73c(}=tiINk8gIPgp
zSkJmB<U*yw<bI@l`*S8%*;I+_6ego)zoKOJYbu)l2+5TO8Kco`YsT;$GPX`TRLDfo
zP~pA-@=L~;yeD9OBSal>9ua~vA85!P;=eX|%>;uIqGE2m8kq1B$Q@;BL+7*A0pD;I
ziv8MUh-Wq6vU<KzYl}8Qwpi^DqnhH*8<K*yjwYl&lJEW9r49c#8vj{+H^q-^VaLj=
znjmb7%3tfH4R5jP_~HgLm=s+oYnG#cs>ZKv$*+w;M%IV8W9IN!>rKBMLqS9CN6}@+
zXb9-=ZGGl$0V>ANh}TkZf9cnwn2%I6TP)T^i(A6zHgWvXAO$~Po6k)NQE{sy_=Inh
zC3as<@3Z+%!Nm8R`Y>@V?AP8uQofOm)>oBdnIjYsg0DVYIjac|)r!Sm(`-1`?N*L>
zNWu0qjM;&^8t_ZgYiKkAK6h^ERz5^QWs7{{tL^IG?Yvr&zX4GBbaeiuIt4oF<<}>r
z$&g8nULBbTJa{O+l2xUNcHf)YiuEMqUsc++JP$bO9u{$tq6u>C=I*Hts>uH{<8t;q
zaLIJTs}ILC@OAC9Sr$zhd4GFpO$C5*)@p0M_v$#E*;!4$p#XEy+kGy_0kMyK>_~NW
z(EZlx`>&S+?clK*&nRHLbfZT?2pI&qHKbLmWYBWO;FSQ!N4{=Xxi06bVP6Z{Tm6WL
z-ZQ_ZRs|s4x;!l3PJ-g>>~z*ON&M|-*x=C1hS%_UT0b`luH#!|qD=@G%lZ6Bb`u+k
zn+{eKvs5uErTOE?qBsKYywB13W(j##(A&~UWjH23$lf_Ch9N`lvw4x0_%`A}orqO}
z{x@}VmX|2Z-o+)Gj9TDLSu87_por7<HRF&L!3q0IRi(ieXnlYDwP3S6Ja^qY{K`NW
zISz?uSZ~ZhIU%*V{Fodh4+OsDJ12x~D#XJiM{`um)gOJmMHYP~1<D#eLilMKJnH^{
zGyk_Fq^E_-U~h3Z;ft#f*3`^s<}l1qJH_X+eXlgO?9h3blO%-Ae!5%oD@?(cb~dN{
zA`xZgf!Yo;Lbz_fj5$g%#TMQrW7?Dy;`E=%JUuCl@B3!f{<y$G=B_JyuenR1x2j94
z&PN108+U0_HCS-TpQP5eOJX;#_WS_{QFOdb*6z7vf(=>PgRL7RL6M_xVy_p&u@`~;
z?ki1@5xzHEUtAL3i*l7mUBtmts37;D-WYEzxA?fcAz*;(-{04N#gS*TV&;*PF*<k!
zh4)nv;Nh>t48JFVdX35z&L5e$5~wsqyg)$K!(8q4CkTj>@2$NP$3*syZo8A$2&gaK
z9B^lwBy7LG`{X0b1ec9#mH#sWma7+zo(`14?Fx&FvG*8=Pn{1GUF39{t>dh2FcH=7
zc|UFsXJBGvNZr;(61=q5w()3b*a-%nJ1fmVt?K2p>T{A{ZHTX-XUkx@-L(VT+v$k>
zaCT5$ObUE`v#PPrWifHoZq)ra9d`&)6psukSZ@;LArj@`-u?$q+~~;Nne4>kbdA`{
zA=Qv51?<0Z{9B+hhuc+7EAPH0f};5QSMqyB#9b1hRm>UTMezNargUlK=o!o%3|2-D
z>qtsaml3+RRA05+D1)lQ8}D+>s=(sXxFodzQb4W0!3e&kn+}LO$YS$e|C@%-RS{Xa
z@6)SlBNTpWyt)E%Ae-wwb}1)e>|p&{+D#+KpBi}5?<kM<5jz>aV`?~Zq<W7y2Lz!G
z%T;7HDL{0_b<8Y=Gk-;U?hNlULgc@Zw~{%EIB074dJl)AP6dJ`gk^NRw3uoi?N&nB
z6EXeQ9vV1Xx>DzdDIKK3Vk3V|6>N^k-!g5ZiI*~ec7HxX2WuJ0c*IH-DS}BlQ*;WZ
z4hL1_^wY5}gV~?=LlxV(DgB`;TF{6+(^z850Kdvf>f&`0oRq7b{J5ytZ#DgVJ*O}J
zo!I>N&^9%^6JEOM#^JvQX|2bnHB2}RT8!J#$S5y2Cb^xVA>SqHP0u6~c|V>8l19il
z#!J4yZKe%oafs-VB4a#yy!a*kJcmC^tqa{P+NiOfw9X7L!I;c7wGK}WxHiO>LR$yN
z^epFesVt~Db2q<O)WGi0{Nb5RI&d0!>($0(3btxqw|4>OJAaxbt&Gz_<4@}iHXluq
zX!9jij7kA5`txCJUmaN8cM<AtHiNH^&5A3f6flB>bv>5p;9!(Vph>woZZT@k{aUVt
z9NXWwOX9TA)oir6DT(6+yC)WMo?6H)HH{yxr@@1{@khQN#|zt8pYo4r;Xu6Dlg{T<
z3>++`&Z@G(tPtrh&eVc&29o)!w7^#?8Ex0aS+5p8z@MrGwP>gG!R-_XnHRrsHUVlA
zFSEA>XkpKY#bu_bCZ48mTeU6@cw$|6)1IIOZL6Z9_c`id^<)c?t^u0y%EXZ?6mU6*
z?KdWpQ5PMp`>z9tl09kTr$xbXryBR7G!oY5w<*2&40P=qJrHzK6Uv2(XU4=-@gt`8
z<JU1jX<)|K?41T0go~18&6U8Dr1*t61eC{pvd&k~z|{u&im=1-U^xvDw!Hu@K9GJE
z=&TN#HYH{21sT|$X!*RV5{Qv|<+_J+UZqcIY_zQ;;^q%sPbrS4{L~!JH)X0J;Y9Bt
zwGv5`CKn8Zy951{-1Om_BpeUovs-v8fzxK0)^}w9FT?US^Db3z(?T6<UB%&da(U&<
z4K|K^P47HBqk?_x(YZxYQC!njebYx}qhRw|TM-9kH029QIQ-&pJB`lXUuX&0H`jM;
zyP=3<QIj$1o`Q(&7|HG6blhuvl2X)DK(gFL4}WO^gt2~lrNmlbOXt&=m(3i{g_J+D
zF<Aj_#iC(>L36B*U^0?pWU*t1rmFq*<=`_oyzYRLIqrNu`a9cF2C*7VTNyi-!>74j
zw5!GpVv*jB9U9V@eWxUsv3EHZ<u=r`k<Ab||LH*rhd&<8@@aK<m*do?qAyDsrm$S5
zR9LfG3W~OC@_rkvfbMzIi3wg)Ozl*$5J;B9rJ}Rbc|9xe^T@S3KjT<9Xz2WG?i~Tr
zDRxc0mjy6Ao8K7o-2~Q0J|#VNBjBs=bnKU6LHu-H_q%+%2^4<Y?x=kyfiRCm-^cfb
z@T0W*cjq@_oPJz?<6D9RA}+jF@ctu=8F!^{y%=LCRp@=sS|x!4$BWw()`?>A7NvFO
z4-@yZ18N6kC9tL>R>`Sb3>l9@M!k+QA?dpD#}c0eSf2kyy48uJ#ddBYU4e<}xoD!R
zfCM(AW(Cl4BycXOmoQSzfY?&yfBI??$a579<VhmnahAJ(t}6q9t)wr?ZW3UW7jU^J
zNTOlSh~&%+9sdxTaw|guJhPb-l^m|$aGmk6&8Nd;?yPO`R|)tDaND%qBto~!Yx}GN
z9mW^%xzdY(Z118wAtTZ-iKj({{WC%fzgIxRYXW?flYZ#y$>QLSBdLUXBOG0swE9uF
zBzP`&OOB<=;hfCv*h2@6FkK-M`AkF#>@6qCbbrZ1C{F8xjk6Kd^@z;DCsMFl5lW2t
zPZ6Fa1N-^ajBs;m%ve2_h)A=b*MEu1_{1_5J-}^*+%@bSmHVZ^!>h#8(xQT<DwC<$
zaYHoR>NGeLBLk+`Aq|5TRnTq@igkQ6gk{>}^IZpJF}{@P_Lsxm;k*?6*iVMI_(~zx
z_q-gMJ&a-m%G3~eLTqX4j3NBB1BCj!<S|3z^0Fx*W5C|7@1Cd;v<tT-epFP%{G!Yw
z-HYnT+TLCLpP3OZjNVkauty2?X{naaDmAb=HmTvkUL)jxYw6(otc<_Q<sP1{)5K6g
z$ez=Wjo`T7!qjY~DmI*Cx%xL#a7orL>5~>6f*b8GM$fClw~qYC?+J&O17X%jia5P9
zG1%(XNJ4*oSb%s76_d>`9&u?h5Z+f(ubZX@k&vQd*D4x{8|e9kO$_wUEqCWyPsS<b
z&IPAq+9-zk3?+sMySwKH16Qg;-zH%4mV*x5OkT%NGL6wPti{^9s1BjRQ&U4<bRgnZ
zE}AWDg5q$O0aA+wMn2Qil>Bw^{0IAz1m|9qgqw-<9@50oo3!aK#k%;SzBeu9GYbn(
z;xG2;Q?OO9NhbW3E)3cei0&L;JQ&>@ZqZHwhJHE?oYY0C9i^9N&<sD4PaGzCYvJOv
zzD=Uqy72aS5|YB<!@H-MZs(e{P-0e~P<>1XzTA9)&I1<M(^lWHok)dj<!YPz724Re
zuzLI9HV%Kh(vO|D=kyZu0VzF)hG(&J)uET!aA)N-Ecc~?r$F|@ybBe3l{597I9{-u
zzo_ADOU0QLr%n&{P>^Ld7{)jSkTYc|hGJCs81oGYuhPVg$t{m_yMUFaC3ReCv>-;!
z@CwdUM?PiXG+odNRbh#t-sW0REen;f?pMQ%cTCzgJu4(liRcY;JlJ5PCOJnU;mmn*
zxPz4y7K$VFLZ>yc-#l~Wy)Vje(V%vPSz96hy;NO?h9(%yCq_n<3OID~cGgFR6(Uf=
zo9>_i-#6pZ>epmZTfIKdNZtyx^RFjY1**d?j`Xx@j0l5%iBg&GoZex3<{a8YhM43?
zkZrUi?tFYNzwrTZV%<lly6tM%^rkeT-C6<=eLXUn0E~Q(d?&n%gdZ~^tiV=Ls72kE
z+iwL-@Z3IX@SiHk9XnM^3WSg!Wh(12%f^AS{>D}*6;ykt1a9XNz^YW+6CM6+y!;(n
zduNprij~3|RmS;2lAS*AwZRh2Q;}8W$qEo(-jEUF#)o0ukcYRGEkP9@ez^Rz9EN+w
zWkS_?A!W2{#rS^~hz<@~7ZxaskSDcVy?)DJAN}~+Sf4p;j@i73pOZ$y>fr_LQ66+{
zs&ahJGDkDR>a*V!A|8b7c#`yx2kn-Ny_@sRz}=qdvg4o>jH{l{%Dv-3Pk_7q)<sjS
zsLDHE9V3Z6)|F~|!(|8>FJ5rlXbKP3q3iX@1X$LqurJmv!^8&xp7`f1WTZdN=&6-J
zYM+-ePb4o?{GPoqWwAg%FvO?MFM(fU(^uT=`4A9sH|x=56HHH@oXLq2hqSl*sRA2*
z)Q2yNb5S+{SCNXh>4X?U+#MswLY8CJ>)e$;*~SR0(;ygVi=mC$xtm(F0*4sJb@P(O
zIAm?9G+rPI%fA!u;`0KK(m%yqpT)%Yvg%ub=AsZ5Hft5wEQA~XZVs;Jcww!BZNOzg
zQ50JIE>-+341YD#IMs^`Q0LbkC-aFyHD{|!cbO=>UnO}yXE2~toWCcKCJNH`ui*+N
z;$Xkcdz15wj?h-w2(36#Bs>0~b?8Xo1y6ea{ZKmePEHKvOpC((eaFx{0|MNm5=cjQ
z>8SR}ljAuphE`$aZx#-c*fCR3Yk0*7l|R-y9MtB#_w+g1-zX{M5R+4>K1Qfp%YD15
zL>#xc677vDh@3gGXTE)f5m>TD8RvC5-nnwdkLRB>*0hHn%Wg7+N>h2v_U95vmfE%c
zNT@8PmrFMYCK`fpWoMq(K>{2+sI<F-a)?{@>S2qEAtut#Y&dHtiSClS#;0QyV6Ed}
z9iwW9qwYC1rD{?j{doJMj;w_5R(Hkw{~F-CESc3LNyILv+@A8U$`EuHit8CNz*LI4
zgtxpj?kyzuF+)|6HvOEnzS{tQs{8q`GG!p?fAH|@U=mV)YTrHh#sIqU!nYST$>N*y
zYg_FIHT-v%W)<+s06Z_k)4ZzW@S*od!}>TfB<{LASozNYxeMWkGsF~dv#?HroTZKm
z;pY{rX@(f}3FWd)P(+W`!GxSU8W^*k-SIEN5C=#094!)3Mk{?<eAS>Prk>7cl;1JL
zQl{t~pK=xWZ1wW_CZq-0t>dfGm5e|;?a6exq6#-xzkB&~Dw^9Lcz?|?!pzy^sF+j|
z?(7aN+~mXI<Qd1qmpI-TP4D8}$LWqXH?@Jxt=gyy>`9A#Nr#$i@i`YSGOXKr&Eg|<
zFd53b;#e93Dj|QyLoC#Bxcr1@t(Pv^P6uyI3}fPGVg0|W>KX`eIUs5-r-yc9nu&|M
zF*>JKKP}<cM8rUbURAXolHGSLeRDIxUf#+a`wyC6|93p-sjNQwWk-behp@0w#chuX
zXAX~#kL7E&)<=g%7WeN1rVuPE9BSX71>&iFsS7&#__g^mW77pQ<Zr!6v*D%U3g5Sd
z<PJUPT{Zgfw#^*<&#lX+j#5DyGn{>?rH3KKPvLprEHM5pVs+dU6~|p4G>WlwVe)$C
z_Y-_<?3H|LpkhFS>giz5Tu#5_#iWQe@dC2He^$;q(GY4DuRC#y295f1MlYu$iau<T
zm$IZmKW?4SfzMiaTBCPb>;q?A_^R<Mei}a7`xWSjbGm{5yf2@j6`qkbCz~%)@%-)4
zvj<f;9kB7Krc$&O#@{$^Xj7qL3qjVRL6wZMYQ}6@ffe-lx2~Jpr3KfLjTioKJW>?i
z$%?G9LRc4Zk2B~0+)jbUj`hlDRR8UideaL2=2?jsTQqTcA*s@*g3}kzmtXcNwL;=m
zSE|ob4XByyuq!i{!5+R;?ng(gFvCR}|9W2?jxo3LH!Da%hxaW(z{?5_)%47-<z#df
z@0sp&m%w$4)ZyK7R*0lbTrWDIhR*7!D8t7hII_?4l+PQ$L2YowP!tJvPt`pgiv=*h
zYVq2uqd-alzl+d1RqP98HC1c#Lu8lzwr-Ap`StHFW~M8n*?i@*X8&bqmHe_^{Rta!
zaeGb&CoAHX>VKCf$lMrAl9uR~V<T#bVdt79k0HW=lLBM^*j90Z%ak@-Li~9HS+GeK
zTzR#^^#}g453M;ZbidXDW|f5@Dq=DaYQGVyIkLchK?vKRzT5(L*WFu7J;1r|-Of@r
z{0r>J-kF+>zUG*1_Wm;?CI$5;8+V?1_?!LuOV^C`H8bR18{C`ILV#d_d0{m70=qTc
z`MCEoGpwnI)w*6F0cCT;t^2AL*sDc4KQ9KF!u(cKO<1NlrnQ_y*EarP?_B<P_mO)n
z<Z<n~ZR{_GhijLf*QqSBi6tldB~(~geZb`Wzcvx*>~y=R*7A>C`B!mSTapRZi-c)m
zuP_{~+s!;YxKMMPcB^UH7%TNv)OZ7haJ%ax(=Cu2{{sL3|Njh^cRbZ!7{~2B@3mLv
zz1O~jYv1o<Qz22AzeJ&}NKtkv87WdmDk7s&L`k|w$|$6aWK=RTQ;|J>{yndA&g;CM
zbI$woemJj|zT@^W0LQvJtb0!L!Fma)tS*`jI?fCS6n4<zw7BaVpEtaal~(@6qJ|wT
z`K-N4w$UN<<+hqob6&`8|ITkHzzJ`{udpgL>4R!hz#M6c2XKGerpkl4AgSnQxs1I&
zEJkh2ZF|iFQWyS}c>Lvtxp)um2W@&VlJ_!jqmBo#4j+|03A~^{D4P7`rU(D=4!M+%
z^T1`lFE1I!{2-)T`-FXr2Ge6COEp7Y;Lcjk<l+_t_Txarouk2=_Kkr<4>s3px<8!z
zBLuWvRcNa?4ODJe5Pw?pLB^57wB|?=U}vDApA}R%c--}o0|!53<|jGt%n*f|*}HDK
zZd7=RIva9-@<W?`6iuKG2O@3M@nAM8OjmszR{1ReH5QgDkt||hqv=PHte}9qUz+e?
z1tHMPK6k}rw>WT^(eo1zQ6Payb}<hY28~|Y+m3n(5N4OJ-K|c6&})4gU8hB0-$OpX
z_N`KIT>1J@{BJUZwocK5wu(aO`;OQ5rldhE-61oCNe2I6$2mDF4s@>O``s>)g>iG6
zC$=}qFxLO`PKGWX0_syAbYGAMZMhdFr_Yk%mAc!j97{2<^VPwLMs0z`z5c3#hsZ$a
zgP@6H;;<v;_=wAUMHuha$k01L2G5nMZjEvYU>FtWQ%03Q^^hNr$uTnU9lzH$At(im
zbpyX5VHKzx@DfaoC&OfbRLR9yX?XCe)49n;6;fQ)9O}!+uyf2iOh!Z&9;6<6C3IO0
zj974gqbAAl@qvBX-YPk0m<+pY^O*oa#jOSBO(;NBV9>Kd6kskaAlhG(1c7IR<Zj%h
z0IhwB@<LS+^j6>PJ07bJjkkiOPHv%s%-%2cN2QgZtE&3)_Rkv7^USdSK@}Bj#M>`V
zODKb4iM3sgiWWRx<TA((q=8cyXR?W`3N(bt?qm39LrIZwuNqwsvP0^=yirkw?2DN>
zs^@jU)AU_r_7;68`e*vaMOzIHm*+1PU(kiXWmI}jl@7xtwp1QH0!#`Vz9+9uhN%7f
z@~tfmU}o_)n>&pN!yl6LPHfiQRpr*YNthuxZg4(RB9K7yY4zN(A~GDIpNY18Z3OON
zCxFSN4k3ijbL7o>-Mu2M`Ay0Mj1f<t*#~u4-&<+(Jdq3=Lj8a6p{6iXaLe#!m<Hf0
zUq0DyLI$=+d7scnGx+Xk{+W|S69ykI(aOVhK{{zWZCDwD#O~~?F5a5pH`8N#Q%wgX
ziz38C$N(8`j?Wp%n!xd9zH3*c76^Wn{j7-q_)|()o0BwQM*W8mU#bRJdE;M{nwf*&
zoDADpkIj8X{URd{lHe8iaT^zy!?tv?Y|^|2aLj9sOUV(yWn#cFZq6L&{`!OCz8diN
zPkK<+3l#{SKHlV^VF68V^*!bD)gdylw!3tX5-9VQuQ6>bpfl*{Hqn<P5CCy2RbB<q
z^y)g?u+;*#hA4HQ3L?0CIb~;dM;b&t62I*?v;ga#t^f6;5+Eu--h3%h9PSBKmh0mz
z;67K}Wfu=MplPsYH};Fd8LnteYM(hYDfOl)NvgtpeQ;^Ep&$(W0M(Nj=J0R*Q{3lP
zWe_=j$D5eL4gInW$@4bmAnE(qFXX%uw5Z4#ix0AazH_Hx><qw%vwB^Ipa?sKV*D2u
z*RZ#xAwe<M0OW7%GF9eRfSbHXSMcQmwkN~&!#V|k>_1_u@K_d}@89XHJ^U9FK7U)-
z`Zfl3t9Ks_hDd|$ndlZs`GrXeFHW8K!T?#N$@#tBl924Om@pGEj=AE_%bpcuz%MV~
zIGrQnz!|R7rJy;A)!s7-_~2{?u{=ADROaDf{D#BE>jT5s6a8oT$FG@!{k7uyeXKZm
zdjFC@=HL*<S$gC**Jl$L$;F-Qz9<4i#~vp2`VC{(q+LcfwwOSQ3PqWANC+<L%V_U<
zF@kN);nmGJY78bT`(?s~1;8Y^HdU(TC-w&Cl{d^Z0;RD<R*uz8t~Qsr|FE3EHrfqj
ze@hs_kxcS|X-yuGX`bEdZ#0b&?8<MKoiqf!QSBauY%cgO-C(<w<!_9)uG=2hVE{uh
zlay1|oDiihSN>k`FJ^PNGlbpH0FIrN^B5#>fVsK#SmXRGc1A8X`{-Rd1k!~XqfOXh
z&91EW`SL%E7NKipDols3oqHO~qS#>A?QG&F$wll9+bv7)7=0jI5WFYxn-%sr&pOvQ
zEMqgI=+wFeJ<!mRxLTgT3Xy;Hvz>3PVyepQ9o{GP;B_U@rq7;rvu?D)b37Z^Lv*xV
z;|~qaH^i)4>##yLz9@yQnFUfdPQ6nLp@D!?SPYjwE8Hv=fB8az4c^t*5A9f?LNJ$8
zO^O#QuvADUMqgwHiJ_ir74cNaIH|GgVLmHNDjFm`=j4RlpTE&PC8%)Wbk@B@UN%tP
zGqAyz!v$JwyWe`2P{6eDHoY{N4Se@~O!&`%2aY9--*30r%omdu;*c&ocr3bZ?Udt#
zV|kw&2EJ`_dkTNZ`!_p$dl%FDMo<9g@8g;u$B==YN18YN0|#`rTjbTM2*E5wr^S-U
zaK<X)m}46!w34`%7!(mu)7Iys7VAR(?D?Cy(_Ap|fjwu*Uldf%#t2>$(1k*~6KY>|
zc%VrRYm~0ULG}Dn%b&A4Fv?%SQJTgJWF6;kFXY95?4u@Uv#1TvO`aqU$@9ZWHHi+k
zd~q<yCTf?*YQt8Wr0aJ-2*AF~J$=%)l3)-_4o#8MhFS+R6TMO)h^};I-69|jw+6Z#
zf*Q48;!9+6qPqzEy6F@pH75fZ>2?I_1uc*ou^OBU5ru}Xj-jtC@^E;?p1!(A3t|WA
zEOm-;K)}7LVAb0KUTg)%4i;MA$FWD^>H;1d*GM8e8x^6i-nEI%Rttp4zuXV)6Nebv
zHq{~?WtchK>g#h*3xp?ge@^_AfOfOF`fuJUaPig&U9pE+ASyT}j8Bq+pc6pZ)}RWS
zd(S^GkkE#q<y%6Tjxul}dbl(J2yjcZ!Def*HaHSXQ<`<<VDLw!rQ16q#7o-nsT|gU
zYl&;Q`*amx%0c3{mybHcezoW7_R)ot=Uhg~1VwnS)-^S~rUATFdR1?1$-uuf;d0bM
z363@XlK7IN1!C;{c-eI_Jha{T_2rN<^!3|YQ}lJftEX=AeisFp9jA2+Z>hkU4EJ3c
zwYp#}YhFoer^2lhw9c?@Rp2;JY`&OI2KP(4{TaV#FfotqxQ`>i?%dX0PxL9^&^9mL
zN!EueR_$_a+li1)2y@MRK>-`>xEiPHbchZdbz6-j0sckQaW7daTwRf8Jd!em?=77%
zPI>BJL>wV2@1TNzT{<DU(g@sCjQ+@$X@KP)+t1IPsSuky%aq=40y6vyHk4bMpkp(s
z;3z|dKe?~ja%Ifmj%`A>>3%Js$&3=Hg%sE(;nTRil>yV$=4m#oTEJ(k9(-wz3~6s$
zC@BU2C5g|xu>Z7SS%2{UTW&H`XF7ClUjo?hoR_?IUK`9lgx+}iUK?IV`W`>GnO}VZ
zxlnLedy_Zk#V2(&f#xKho=LZW)tB?a#yD*VI;BjjaUp@i?)tEpA`9@hn(WLB(*pV-
zO{F1cHE6mfDe!L50!XKvwk8y4f@P!p*#&E5_+T{LJ4~>I_%VhMdyWPuZ%>>OOIHBK
z_LPr2dX~UbWD-%oUmc!``>pzoOMzHIAvU3G3F>Bw-Bmm!P?-rX@hro`GvZ{S^MVD4
zRerSdzDj`5h>EWYYl6@vpIKT^X#soM5^M~3)IjQ}xbuZ(PVh-MrFhoY0(Sr95Vs3e
z0iJ)tT-G<&u;eFmzYN(dV1~>6OVyAPWGvqroL~Nfd561nci%LJSYgu}se2Sbb~g1F
zi^d?vU3IMPnYuYB@!Ak}mdS${L$;wnv;uQkc*mXd48VHgj=ttc83=XDuCIIkk(m@$
zR#IRE;6vnX3ze0E8LQzfW1@r1C0h30_InsyTHSTB`<ghs_9#>=s2OGEn3=Av)-zy6
zt6qcG7!M3Km5-MlCz$Ta?Q>RRX7GIe2h9*C3RFgS9<SaMQ>jj5JsxKU**j!P;^{)b
zzhIVrt!av>>0x25XK4zDY<iYOiugc%`rN@Co>R<_b%M-^a1;1(tCC=MiW_iohm#-b
zOftPg)=G7r8^c9~l5pot4xs9Je{c;OXR1=^#~G_eAZEGvDo2P7ipXmICjx#lErvRk
zeQb=Nj@X~=o4bKsb-SX=DL2COy5AJHEyED3f1LIIT)cw)7!Hp&F8{%-FWmpAYSI8^
z*T+pfX^YrF6MXtz#&_n3{9OSL8v{6P_*{lV_aC;yF8<Y>JAKTk>VS)X3+V9b#4nxW
zSN~#<u9#%k4|Ov)sE!F1d~~?}twwOf={GjTS@g5O^%K)lG|vndtPeY%1jG)aDNHBD
zjf-XBJ#+kuguCu{Js1-EQQs3hjs@D?FB5oP&wRY`_wEsAJ=hjoNZ~IU#j5eoB;R~_
z#?)@9_q^LcgBl4}-ZPHFSk}aujU0<S=EB#Yhea3-B2>C|R=NMcs#fd;95vH0h}tf^
z?<E!DD@x;j)PBcqzK`|$&RUMG&p0)eno^<dt^h$~@GG{eRHP?+`xQndUx_$^C_sEf
zJ}&yPACq}j6Jg==7F+G#-FeBD0;RUo4xFZaSkH;sjei#Ju>(IQ)y6)OLBC7w#Zj?d
z>{@dDHIeh}*iAl?W$<1y%(xov{qFb$OZ&N8xXq^nv)a*{Ncye|GlZm5p9gy|b=gp>
z3Pv}!rEjGF2)8a2*em1X-}Yb+#v}_yh+i;2{7&&CJstSAPdfPVY!AlcesnZbwIA!H
z9%%6i(1yPaF;SNSzF=F@N5zZGzF|stisBk?Yr)wx&$<-(UM%Ioq8>kE5UU^L$<H0o
z1pk8XwWslYn8c&-z1Qb{VBEQkm<B~nXl!<RDsI=0QTZjiu*PA`oj^RJbWj5lKBVW_
z)C^!eNtP}`HKQ2gyc1`7l{z@7OdcOS`VG5q{Lgv2t}*O%a_RyHuR2_4>r49a_&b(0
zsQ>Pg>?9WLX<X{<Ljup4yuIx$gV=u$Os!hdrZL`uh25855}~eosq(785Z2;I6|+$O
zjeRk2Iub5VgqvNz%uk-&yx$%Tnrqe{OvximSSgMG?oOUx>8ztza(vF05&c<A^{8d(
zscAKMeUaR(^ztXBk^1MN)Y2T*%kil&#7hls+WKWI7LH@YM+QMB#^$m7(`T&|+f_kW
z^H~pn!z9-F`&{P;&k{x(xmq4$rwYc2(NUoA3+u^WG8@~wg4J+NyOq3E0mY%TkYtbF
zSf59KQt0d&ws6xYsM1yif+Pz&4>bM3EH?BHiydHr^i;*U<~C)hToK<;@S4SBr3KF2
z`Ns+>w!tj&p33l%-}Yac^grzVvZ9-J89RKsB3v~$r34Y9&NG6X3mETdw}popoIo?8
zyei%Fc!RZ;VF#5ZOd;j-3E#)u@VdDxwNhCL3@_|0$p~A){wmfbF<JTG)1!)e`I}zw
zE9c3{XM*e4nqZ9mg;W99(+bZtLlmJ!RzQzGm<5Vu)L+f|3ImIijjyh{BCsSqIy1n*
z1}fzpnWLB}Jf6@xefh%{kh{wntBKfw8<BAu3plv`*D>y*?-tl6^Jyosm=pLC@L5WI
zVo?4o@L7(~7SKppq5k)V8<x3V+I^jo0PT|n{>`5iz&I{H{ka4m3~Y%h%`lRNpV`j#
z<F6GU_VAbJ&;kL-2xJ(gzLW+0?WUfAE(Q3+s>??V6^3w9ZQk0sO}`NSqfjfk1)|r5
z_HVZp1^HSJ^#G<Kn1=86<h;5C<fB>re3o&bjW4mS^i_s!FIWDJt0@BMcCf?N&tk9^
z@x`xHT@|it?lurAQ3Q^y*-hi$C1C7w$Im`70vI>s1WkJ?!F)^6e803ba8}Pg?NK2?
zfrK<Y$5I(GrA(c+pWi&6S>w4DR}J9YHBH=hNCgfDUb#`AqyV@2u5MY)*Mhj3z&LvE
zW*>evAWA7r5pJx3E17?@pDnpr9Gpu4v;Gu;$YmwCvX_L5M`W<B4JRbOCV@kqt=Nt<
z71;Sb@T>MJ1*DH^tM@r;LJZ{+=@F<w&qs^G=ejhA-(oX=VYdz(s4T1DTPMK37ws3m
zIO&10o7INs)TT#qYlr=KLxQy*qs|SE`cTzm9=SM0g#^=wu4j@q|1slYT8tbWzUA`%
zb<@&^L3s>4w%3C0&L@sH?$cpjsEn0y&j7wTxfUtSXv4(flO+GIbU39V-t1#<46c|_
z&(Wj0@U<-Q-pXS-IJc@g-Q+Waz|f92>+WQbyJOYthNr{KLET*Tj~JNoYXl2?A;Tx$
zEqOf~dT=xUEn60t!++B+1vRuNuvG2(mlQ^W&raix&m%1$e0}_ar~?H?TBGsyi4<^E
zxt|}DZVAI<8g?ZH6e#rBU!<L(0~h>ENy(?IVB~u%C1ZjN3tIlNSBunP@Wcb<d}(W7
zaLMQ%4<LgQ?I>wmk}AwmFTWL!u!hHW9BK{+bis<@C-i1r0h)Gu8Q9;o2Dt|BGg5`x
z@IlGL_)?HKgcnN9u_al<+i&FuwDUCKp5WlE^;ljo@p)>fV`B|vm*nw^N7O-EM<5{o
z)*R+dW;^ZGYXwrVVjUS0L}-aCPpoq3WX7xcHo3c4LGR5c`K#rsP=@(`TEZ<ekG3?^
z@imrE{BiWujUCE>YZWP}a^XaAgUmZ)(w0!zIlI8WxCPiRzTn_0<VVHPjo<c%T7bLr
zScp!fEM#hk($A@ipo7Kzo>pDvz_Ps{@140M+_TH{{ZTK9I-EJu9vGQ}St8d8eLEgr
zTzq*zx(kQ4)yg@97XXBfbNAR=3&SV-e9sGK@Mvq*#=$gc0E5Ic1+B?E@aBFwX7mn^
z+;;CP-=~Gag6m|VR}dSpx>>Zh4&u>oZq-pbodIkxy|ce<3FDSyAI<%QM<GKv<w_?r
z;PcwrT3<4Qak^W@FdpF1#_g^8rKe2+xB6VGE2<Bp798qW4aXxEJ<^q~2PQzGa~w8}
zDrc^CuUen5!=sxUtqLpC#t`C=uQ6KjojGX5a(zh_k0|ZG#nz3CVaK}ZKuPvA6OFuP
z(^$cw(f^3H!&i*p`b=ZZa@HI(<IOfqdjf}?-e9u5zYHNY^-J~W=Ov~oGb>GO3WvlV
zCCO2D8-mdf+4Y6Yb*4+>?GMuIcyv6RSmXP4^ZoN4x6KV_MTL(xS~|&ibVIPkfZfyp
z#9|zSbRyYN)-{to{-Jo}pX~12R80qecFxD!d^nMztkIUNPCPPPq+W?((BTAo(Zmpm
z8_CGUs<CbtLlPSq%i{0!q3`X?F_UjRsH;%4nR7r4xy%qMV!iZ1&i)!>A%PE-4tpM3
zz9^1lkG&K9@=p&E$?Ih#T><n${&|Fog9N&E_GGnLh910pur<WJQxJXYZLqJ^l0<u2
zci_g%^nfR7&G<&7Fbb9Rwq7Slp`+ciy2{fu$bGCz!ZJnBt&doXxT!Siwiy?)zefWy
zqji^3xG3r+isccH$RMM~Yxq__8vGNi4Da*9A&i0PT0N6R$;Hx7saiDfeZrDRa>FB;
z-N%o3%gdv`jpvB?bt))2?)-b*O$^x$Sa})dDxlQ+R8IL`D##tU-xTXFj>NK0g*=o~
zL<dG{vc>ACkY(UTm5-A^BlU9Y%kzrJxBkP&jtVO5s*Zl)T_%Yv`*`~g3@9O9MyG@Q
z=J+4hm*Ff^QYduC{Yjn=%E<rP`Segkg~rkTiL*vBXwnOr6}?kI;w?PrNIw;9y|0@8
zyCI7X?hfL(-KL7xr#AN4^3dQZ?vy{3TOOGNzt3vvQA0^29Z5B78jMwGW+lWcpvJPC
zt1+Vlbmx_qqkK9IidBO%0{9fs?)=+w$L5G=Kl_t+)Oi~04qp4M*rSNv$y=bbbrSj=
zvleS{L=Vo3l%F#xRYDqxNsmogG*Et&bj7cEJvetiEKem?841o&23BS@P%DvZYkY=2
zNIBJ{fAdg5>k0Cr)g7A1)#jP^_*Oc2wFb=b(o|7oQ2N7`n_37TsQm9R-T-<!)S}wC
z)etLgiL7I)jdY@tEUSMRfHmjHw#6<r6d>tb@vKT4Y47T`d(mqMQ616Z<Cz3h@qOc7
zB&!Z0GqaQ9I*s7?_fuWSiHMXAhIn8SIw;{QLDR9v82-E!IubNXM9ZY!6J0afsP~c-
zL=Tz(aVE@sFq(u8aT)J=c3B(km();fnlOc;2gjZ&&yi3Oxw$rAL<`kNRd;UtWd>aX
znUgv8>PTnsp-dZ#7E<Ek`a3zofV-Tx1FR#}(SY3!wt(*%D5adW`1*Sc_G6ay?N`*%
zR7v#;TvkV+DK;T(+c$X?_Or16oH{b>_&v?!BB2b0^!Ur09Q(zYV<~8@j$)op#;f}f
z(0#$UuR^~7icBf5WX4J8oMxRbXPzqZkgc;8R5OP;|HKC^he*gi?;_K;M;Y-A{0{hO
zZw^x4d%g~}5YY}BfgovNB@|J2DC?n@Ib`nM`f?6OM6X^1+8N|2Aa_%iXyO0N;jFKn
zKHZ#vF8Mz8?sSqxZn6%c=1%62;;2L3>ZOL_CfV*Ep-Uk*4Uzd?iaC^Kij;92R7Gc}
ziX;y16Gwc+-lOH*=5YVmpacDg3bHzxdfBK4hfH(L9=-SkAQMWcjX0!?R)iWDw{t~M
zvhBdya5_NtlY>dhfl9~+FZ^TIAwg6w%PisD0T91FV!Iruh_VE8FO<>v5Q~n_v(KCW
zF>VRh%f2h1per~d@2lLXTO4;a<2VL+T8_EgZ1PCC_U+#{XE;&T*K<WKZ47Xjla35G
zmPJof^24eI*wKPxaU7=x1IDHI%0?wiqaBwm`CKa4&{AwN!~eV)7`{G-veqP#i)!!n
z`YBeVKrh<g{nZqnMi-8qO_D&8tI4Iz2v+oWZM^lMu_<^~|NJg#B97Wq{yR9~!HRy)
zCcm1yVFITe)l`~!#gP1!|NI0tx$Dll+evEC7~;gM`i?B((EE#yZz!Kw(e{$lNe-UI
zP=D!Qd?XhR*)QsaR(P_Zuk)F_Gj&E#^ZeZcnI?*cZ$z0>MA*??WA{POGJ;ckZ-<?a
z5J7pK&5bb=?1;d+-}rQvA)Ks9d{xmTj2cVd({n~S(5L>@s2Tx7aJ`;p#n~!^kj(qr
zk*r+k*veWQInDsKs7?pwa0($xKp+lpv}wij7IpvD=%72clBgaeh$^2r{1HpyK}|;a
zf7B!Bkp49(If_pZDb15lEG+RNy5nutX_ifIT4wLL^GN`Oa(ldMjpaux2YDlW6ZB!<
zD-YJ@1_4wt+U}}P6hv(-l*%U(`j9QbdOmnW09hzmUN#>SLbz+cV|j}8;FrZ&HXm(4
z6ze(C|I|+eX$Rh!$p$?LDftnaeoGKpu}AZn`iUYLseKj212o{dW|iZuFNB_`41ahT
zj6;#34!6UiY4F<Q+k1yOA*4BIXtXB-k18^sE9_OLL78KFuyL<2x~n?&$+Sfb{e9}+
z`J#sk6%O2TIl&^RdhchkA_)m}kJWeAYRV>W=?(qw1VvG{r`YFDp^_+daK}deb}9_l
z^Pifi5k;?(@NSdSQs{yC{UIwH6%KH&{^uNtLsz=b?ck1(LBu@Un)vS&uy(gO>%R++
z=BxKy5L1&w71HHx#OD;S+xNCB%Ulc@Cl5fws63j?H>q6DqyTPwT-4W69QjtUNJhQh
zg7z1ksauJsz|Tw~L)}vXiE<w%%l0dxC;M*=sz*~ma6P<XTY@CwxpDpUgCQjp&+NGW
zXmh^5%QIuHHYp_CPuQ_@K^aBQMo2YhQ(%`@&uxEo8Dyf75V#?(iWCb`eH)^{)?-9r
z<7`=^BakMb!caru2C5l^1q!5bB}OhN%cCKIM@Fef2`D7?`BMNYgtcWnyU$cW5jD%R
zes_r|Vd+oN<y%xZq%Y|^VxWi?mG)ek>LMYJ(tiqjMQEUU{^W~WQc7rBU4(Wzmj)V<
zh)w;SNrR<!ebEFKWmN3)*6owFCQ5G~4AwExgV|Jfy*Ja!sH*G^8_8M=IaeNAxHqQ<
z_-<+S-vcV>bo^|urnNTW@F-<>YtRR`n9CCCo4MFqefUGEnhq)nWT9u5(LtxA^ekJA
z8an37m>V0=L2qTFYR4ZL!1UpW;mdajD6aos#Gn1TNPMx=>vf$WydJr@+dZ6!EI-_-
zmM+&td$ocjlZTC<)|uO@(2|6#t&Pf3Yju%`8Q*X!&ICR@V(U1uKtkZ!eT_Rt7rps`
zo^4p0f@V&se`TsVs<LF4^j_3K9QFJD$e%HT>-f=$yL=jGZ^va1LuDNlLiYLZ;#~$r
zeB~M*^3gy`dL7hrEZXSA*W&&wFEIEY0096043~F2)omDu?d{k*d!J(*$DY62s8rHR
zW-?OIkWsQp(xfP5mX=XTw3Mjdoixmb5Gff+_Es`p|33db&*%O;_xJi<9>=Cjey34U
z=uGg1xNI7J(n{RW<qaU1N_AAZL`Cznkq>`PX`+d9)QtFhfQ{O*@61D}nC}**zePp^
zmAK8%$?I4{q>ZR5U5<*n{i8)m@@m-Q)zr})WerM220#37YGQ-US+_G36>R(!`d;at
zHDuj8H*<nn6LZ&76N}~*G4WNJMt+kun5CcBjkeIhfe+5~%un)|=6{1S&~6P4Es1;B
zJ=O8+aNf<+KV<Nt+e==@W@`{RNO8QnT@91Q+U^+XNTS5efXV6y*3kQX##el^DsuJe
z*&S{W#eeVg@?%a~19@W9(Sfdlg@sA6uWE#F|M&kkFFRTTtAb+DG_Nu)P90ybqffz5
z|FEhWUTcuPEB18TPelyze>uT^gBy2J6e5%nz-yuFh22X96dBa#kZ5AZPb({hcEJFS
zOx;&*te3~iW05;0?y%s+g~dN?k^rehc4d!(Eb<<iNKv3Mp(V$?-4pQyL^Wt1dM6@-
zsUCk;0umR=yAtk|AKqC(#dMs|X%#6n3GZK+DE~{==?4u}2wTCJmgIINHwkoEj#LYJ
zGf$ou*%4*zZ3%7mZ+nvNh+%m8^eo5qIdV9RgPL^P0tye(`^uC=@u<!{lLX~CGNjI@
zCH#*$R9P!ckGv4Z?TeyexAf;o=RT2&yBp2n{_IEX-UJ~W+Aj3&@v}KneO~3+rE6x;
zq#Tk@?hwSF@W($*3g^iXQL16&f+^fF`?*xvNI@+dfiK*Bf5>b5&aY4KFa?ormmhb;
z`LVB8<F#Pm0@<8(jq}Yj6Of|bHMGj-MOw<C-z@5jB&#29y|<zXT(4dC#?p@mkDDI3
zBqg&<Qo`1EZ%#Fa(wg46P)}}*xn6AFFUN${-ycck{WF5i{qqMZPH>@g@9h^=Ynk!v
z_UXV4Ax7|%_XdyTPfolO-)*39lm*8W&%g5iWeCe--YXqpoEV*OEU5DXD{2klt?r$M
zpxN>4%W*0v4(vB*aWQ1azZPoNo&5&Tl@+W$#m9-~%zyPHmvP__<A%TYJ_E4Vc^$f5
zf)j0*;vTdE7e?8p$0p3^LlHA=ip8E2h4$J-C=PSu?rOF~&tv)^^55su`74|l_V$op
zS~)MiV$=R5B%u#-E<6g3l3bXwSN%j@20v0?m(;eDG2mZl(?C)M7rt6VHI^&^w6@sG
z*}9nli<VyLyP~*p)2YHAU%v}tXV>YUZj*YDo^-8T(1!<|FAo=nunS|lKz(d+t{$*1
z?cXpF$ct>dQh#-W2p(n^DOBF52Q2)vaSt>3@aKaU_FWf5@rlAdep4nr_#AxvfWt69
z&KK?qm0A+R+6u0td!Ezb6}zj%?*IX83@+5SKPrL$ZR0&`pG1d-I`h%P#|6>LMQ$&T
zq7-ID6E!Ed(4knUPa`Zy2t932-|zn>jciJ1j!mf2A^AbzqQzceOjw%UuT{AQ&BS6?
z_Hod`ZifbIWt<4A&Lz!FJd{JBDZVkLeqBgtFYT!<7DbhdB}E~D3V7_Et4&plE-={k
zuQePN!v>FuGXlpI(bPqr^Y(XLxZQ1M^JcvSroB#<x%fZ{<F$3nzOmB5IiM_!=Y=H7
z^%rZ}k1J#J{VW+VO*+Ih#jCqJN@MEShRI*1s@N<e9be@~2Zsx)ZFm02;3CYI9!Xcj
zx@Cq|$z3{B^~wgHua?ERt+fm5Ce%?(b@z$)6g~JaY3>|Ljy%?U+ju(0RTFDtT;@bh
z>%mT~eKff@3YgITsL`m3ibG*9FF43DKs(ngqNz?1X$m*e+-0<Ip-$(ycoPF=7To`P
z(yD|V%@xZ#g0)fS;xOy|9DUfT!KmE(OBo-kwKyl1=wPu?pmY5(18DobZ~4tX70kc-
z`)1ZVUCj4rsos!c2y!FOF8-ycVfgw3$>2@LmTbi(p)w<2^yp=Vu2ILdF$=9H&*(_!
zx-|QG#2CWc7{>?YH1JGU=L|VV$30bY%a_0u7=EGOjtOd_)EkS$*SvbTqh+N}zR(QV
zc5#@^4Qb*e=VvaqSvo$hkH`!Xv4A5DB^IxWsmOdrr<$jXj&0)!`C`W`A;00*&orQ6
z^wlsM6B9ay1uf2G4_SdvHx3*vqhVXd<#{V5U6ed&TRJKa5O?XHV&OOqU72(D9gWt;
zr((|Td#V8{$=z)ZOEjEQD>y+pO2hH-2A4JKtl`99W$vyv8cK)pUf{IXL`M(z+q6n+
z_-tk+S`<S=mz`ftnt!O_)XmNOZ-s3j`rm%1l3^<97_EPm=c|Hi+_wq(I@y5Fi*-jj
zwW#=clS|CV7ey2(Qh5F#+y)-X_1bIOY9c9f?feuehqJ%On5yD!z*6PImahgHSkvQO
z@QX(pjsE`fj|#SdMEhG0rnuB`n?=8wQ>hp(uxwQ=-CzUed13uSZ&cAdRg^+~CWQYi
zyWga(zUM;p9bL-^6?D8qwiZS6;ry4{`NT$R*qk(fk5^6^-<790ryk-!tF|7~rWk8@
zKzJ#1)heRdG3~iPUuHBZ87WCnu!fCN2h#S0Dxi(R#j)_63*@Y9?E<mNDepKYW}Z!Q
z_~&=yc;WqNvXiK9cHF)?&u#9dIv-@PF5YX`%Hjywrh1rbc7y;0`EDok2q~Nv+DiHw
z|0EM*YiHdQ2%t`RPQ_cV?*9%mhtPf9q^a97d$)@f$SI!}cx@nt<>GC$i)LR)_J5z{
zg;Fg+_@N~2l9LGP3PsqQG5bu$pWkIY|HcArJb4WLvW1X+tvqeM?GxE|ahH@OhXuI%
z{c^4162!|vF)KD{Eu@-v`QrLj9;I&dIihIGkG^LOou1CNlKjkN_cvyk0jAe@W!Lav
zk3ja*r}sKY-6c6C*B(=dNlTbzN##QOeZlJfA>T<U9SJW#15<cw#vLr3$AO2uqC94n
zddO{7mHXXOO`zjwv8eAb8;X~GaUT-?Nq+qIs9N^7G5Cc?l-owJ;#yn3w@SMQN#ggX
zu#Any!2NM5X^SNbCU`Wos|^m5JvFW_+2uySw!3kyi4il_<i0DZ%oryxX=|48%NPNB
zdW!$74-;x63aMn>pClDEj6&N_8$x@AynJ5Z3Yisncy{ldX;Ss-$L6j@19-F5^EK(e
zOmex3GpZlWl5N$)MO@(qP|Ku!$@%sYxo*Ph^2*0~^07~D$%b)#2q?IdNHJO>HyFB)
z9cNo0z5mNReIZyMlE%Kg4rN;+nUn6G^VzaUs%!T0bWSp0)a$j%6Tv024<_5qE0)Rr
z$;<0yq8Xt6;yrhl`x5Cl7Zh8T&xFy-Cr4b_7{H&q?cn+LCGvi7<Ad56X4ILye&t+-
z9=zw*(J()^On$y|D)p}~E6!Dj#=KY41B-N?hQXK>a(+dJQ0iktFH6Ta8ZYQD_zhQz
z9hork#Puf|j&fj#4)OB7Cmp8V-%sdUU_!;aSCsEta-r_y1Q(HMT`=%kX}(&+jAB8_
z@*iY)@G|GqfA`IGL8yr*`g#!y_8#C6b(QBs!QIh4g=ckuh1ym;SImm9Ws>bw9VnP3
z7P%w%w>B8gJ#n9X%Z8)O#>?7U1+lwu(@^miZHVN{NHOK&z^(ERBvf*QQ1I>c_ku6A
zKzMq$$IX45D604UoBo0@>K+a3K4+x`zjkFFcbVkE>g18)vM5nhi$3+yu#N_ewh8-7
z^LenQZpYU-adD)i=Vv<l(_n91%r*PNe0buV!Lgur2{gT}bjg>O2J`^=ftg4O7C$*T
zxVKsg=f1)_!#7kw={rtsE`nJ5Jb*{*oeZ)Uy)PWQNQLv6796in2%$y}HRsu)EKV2|
zo@0rjLSY(jxL1oXzP>RW(x<I}&(lV|w?t9l)^mxiGz(FDRu!=a4k_XpfvLSp8B`b=
zT6^PBjTnmVOi(FrR>F14nq$yRg_%nc*PQpP_Q?~+H%|~Mn3xgiGpbF4bD;um$~saQ
zw#Cg?d^NYyeB00bs-Quy|H8dNQ5pPuz#+riR~=2N54_wJtOZ*yB^&gvkwt~*l7<m3
zO?0Yo-n8hc4dSNkW%+C6@ru!f*Oy*U@nTI){jnoDP&7e#(!0vX83Ezb=`mWERch(f
zw#t3|m}kBF|0-g%YsDcGLmiaO_wdEHbU1K<V||2)GA8>S_H60b#W5*IJM|hpc&79G
zromAa>`<u=fAWHkwTGk@Jo^}sWo{GD{azK#Mk`bgM(N=Z-AXTBEd%KHdr!@gSI3e~
ziu=w;Fwo~=nqESlA?O~crTgyFz#V-*ubO5sa3M?Zl!UG^+`RLlg73B_?#PKx5AS7Q
z{l(woe|t<IXv4O=s1_=2=_yi7TV&wZp@o0dcg;XW;>x{;KWJFPf7^_=lYvIxQe{1k
zTY&lD^Dg_}YGK;pQn#ar8Mv3=DR=j^0`8GL>LCf*sCvyRD!EY)4cQKB8i@mJDwVtJ
zw4{x3#k*`hf6(#r#J%+;V*t$Z0y{-5b+FsxokK~GE^^o#d7Zm&4T;pxwhbma*u;IR
z`&^k8e)=0!r{`e<>l}GYWXH5IrB~+H?HiidIG3B~`OOCOjr8-+duwCZS8j*qovVG}
z%<r`ombRcu{*JqFMhla#`Oc>aE90Y9*;wT$TR1p%!$B{WhAd^;cWZOy(Uq!-SI*jk
zo>hn2En_P3G?ry5`AA{e+eN!SiMEhwpt=8XodybD_Ids@M+6B?r>vcBwvb`K*4}Hb
zjxI_m^7HL{I9$~g(JgEXBk``s+Ok!#O+M%AY&|Ph5#x``t89R}{=uWlA!WStoc-Ay
z-9Mz#a{S_`s|}p7sVS{BQ^Gwl=B`R#2S^8^CRTgE8mc~}Q>M}tF#AwRxQ5*W^7#QC
z!Zp+y=3W+Lm;I8(6WSs_FBE+xSnB61PR|2uvws#%e3V9tv%?Ms#}M)G&*Us40YFmV
z)mPmC33Q9;nwkikB)Fz;hX`^2biBxHD5Qy@v!|+!K*9{6S0*ogYn6|%n;@?j2xCXm
zrzDGga|EohbWSk0g2fp<UQcI1BsBb=Z#y_o6vuacie2@!g}-rKYxeTt?la5jSL^4A
z<cZAXr4ts=rC=gkm%)V<_tY1TU7aTkW@=?9PtC!p;OdN{0z0;oEY~%}=ZS-&UqX*e
zn8BMPku?(BELgm;o4VvMN7xwqX0p@GpftiGCM|6>-y@`aPi~(jYPJ=uw~H`^6aD&O
z>Lq{4&q>KS438P2wRw@hv&IDc?uaq-xX+Tef5x>)ZkZ;KyvP+OW&%u4w{dtKpClK8
zAGcIHOcC12UwYFI7{mPi>JT%h5%R>BRJZ${lZ2goUn^UK5wM(!`SvMrfD9W=e@Tm*
zAOh_4e4@0C;D}PVzq(NmDZ2P{6MNV=@pj^n((Q|eu;3UF#IdP^<e|^!F_gy$$6Xq`
zwlf)mrQ;RWR_l*s?7DlJ;liT?Q{4e0pHKrhrO16D+NG9kV)mG*ff2%yjJuK8uMY_m
z@m;3eWn>AZjhw$XOlYx8e$3sj58F5Gx+i!skC4>6wW8}iOsxBK%;D6RRiA3r3=`z6
zBFc`n(&RS{6X})jwrF@TfGxjo>_NdBf-$(!^1rBIqAHl(*88g-u$A}Pd}e!3sK{8f
zd-e|#ZC7&E@%igP!JGCiVu3BhJ;nMe&a@Gt+MfH{nh`qem$JEVSfrf@*{}R0HfofZ
zE6^>8il)QJPwtie>`r1&s(0V|>tjTSoXlok9y+*h>GLHxzY|KA?@d^<PY}^a#w4%u
zj*_(IdwRtWB7l1XW4v>MIHj>QS8A^gjD324SR|;I*zuNWP1~nQ;^)VY?oTgkLr{oN
zN;<WlNEq<!h#8wA+>roIK(W8ExUNkLvb#&9HU9i0+yb6Ge5pG_gl<jdC>PU$7)_g>
z^_{<n`yu&Wv)Qx6v<*{s?=~8Y>P_%${qmc57F!$8q%}`?J!7!86jH&&+T~K-+%WOv
z!UL1TV}FQgzVf8lIZcSYwnHh)e2kcp{}P|kvp}q!3X%Qhpb2N3nWi4NO%N7Iy)Mo?
zON52TJ!HDA0S7bQWEkF_B;fozgFOdUh{(4_Ie&OGAnJa=#`}`f1e7+t735-uF77Q)
zdk(6DXxv!Qvs*L7?QbdRhH)&=yH;Lg;D;Ivr0Jeg_nspr=Y4ksi?czo`pGdXS2c*N
zef(I;><{7R#BAf=$qvf9KQ|hGPz5b^juYH=3xppf?}KC`C$#l7&gnU;g7{j^;~$PJ
z63(yp`LB#~!wcD|=eNG9K<U#{Opm6PiI;;lzM~uYKqlr%uF(M%_}%{XrtwE6(EB&L
zUcHwBmfrgu^Eg!?nsWJ0{zev{|Fo$q`z8oa%>oQxl_-PnL2AXsAS*PDfcCavVOW^8
zTX?@s8BQrDv9_17L+~v(Jr^}mC>N)EQxaDO+48VVyPKR4%JcFS54ZSg-UZ^GZY4;1
zY#ST#mK)sWzVq=)OTxImq{gkMN<i7xVLz$B2LZ$7qZ8Yu!N+r}ol}7l_%!prjd?@?
zu{A8ln_Jg_eWV!Ye}ziGla!!z@|7UyT5`=Lo{)#@Z1MaGq!Ot6o$T&+6o#7R>P@dr
z6(N&5=X1}j5>)DNJR4jV0nJCUiGJ^u!1=%J`k{`>ApYQKtVo*}>{>q}TAi!{)E07E
zc(XF_)1{=Jwn@Ok{zS{yo@!v47?FKAP6hns)D>G<q@n(7nEZ~-8X%H)>&XvaRd{qh
z<#mtO8YtgC-znft1tO?Hl=-L{K;4vQYOfqTn9Dp6pR5H%DR12R2Gzmty|<h}g904k
zD~e)yt^>w9j~$S>t_cUoCdJogN+4M5apr8oYVUkE;<xr84OXJE2%Z<pu;(`$$3&hU
zeDtslIjNxoQ`ENnPA64ps@!;E(>(@c@>yQ9N~S}ic-)WlNj3Oyd%e14i9XowZ7k)|
zVu0vbBCjb^1A^_h(1K4GKmu|8^8&8{G$yS3y1|qR#eCk+$Mp<>+*?%~sb~ZP3I)RN
znrUD{Df>R1ZwPTgp|6DlOdznNz}R4uHf+z?wlMv|5C-GHp|9BtW<IZ&vR>B#KD8n{
z;<zF3$M4iMaj=A{w(<L2FLmKqk9u#@paHONdwhMcj(|U{57xfjLWfBEicsMJeW)~L
zx?v<~4NRlo*so;LfwKSn(||+<<Vzg)*`;p-yDtQ1Y$~V2y7uV@w`=IIwkKo9DXJ|z
zkNa+PE{6`aE^AVf;<e#}$;O<_X<PVyOYr$VCpzRQhS7Q@G~sfgqUqI>cHl5L-CXrR
z7v3MZ`7`a53ha+{txoT=1E$H;%J_Xcu<7oM_kXMkV3sN>@58kg7C)J(Ja5&4q{b(l
z%0Uv~ap_gh$pt%Dck_4AFbfSP!~~jhMFimfWsWeNmv+Dqpf3Mm)`Z)Y;k=3p%)r*>
z6F;)c4veZV{^jmd1Lqut&cW(_V$J5pot0y@@Nuqbt^Z>cNEmmP?(6C$=ae4GvIg41
zP=T3s&Iu(jF27s*&h0N*lMr@Lymi&zwdCH(`zyc-+u8)_uPjJ&wFqvtvH{nOYEiix
zYd|tmWsiL#CknW{*j#$c8vg7F_S^AD5>yIwg*J8Y;HQ}gxhG=Quw{#W+;%oG_^)Q>
zPOvgR%1fFnj-LeZ>-wa7FG~n+8PyerW>K*6=zlv8F#)tH-#ktB@WGYorOa!A0w`JN
zf(a{Du+cy?nNxui>dxMr)g}cHBMT0_;I)G8g1(yb1I%DH?h|ERBY^I0FD3O<E#ZlY
zsp5$D0&yWLA~E2c0E#Dl5)<BJ0kxd<^<>W^5u=0hr_2R#KC5AGRGc|bPU%Q5pXn!(
z?me_V-9^Cw*O}*so|=I}0WHtJuz|=d7=Fb_q@bl^>_xd{Q}}T%d7)qXHJP$G?$3xG
z1xIS*uHJGm1@i2As)OYZQt^|^;+}<7FE=x*^tx#Rjur{LouWge$%pD##t(kX(Y@w>
zh1mpLq&Ayeh?^w$hkAXW4)P-rMW>Ag7=vbF>E=@>XUT!Mj^uGM3eK|T{rmOF2pk!5
zw%Hbc$*`HcM>;_i45fS>GGA*1`z}q2w3jTBakS2w;Smb%Y`)E1{@f5Qbf`;e^skT)
z-8Mh2$PqxHx94`tS{TCNmkag<(agxqet6A@sUX^JZw(Aa1L$iNcsnu0f{%Agv75aR
zL^=1W>sL0e?r(S5K=V#E%zj{y<+M!*3;hFmA9w15M@#19wU6v5HK}_36-5~Hy!;+D
zh3dmW{gKoD)|?o5es>71OBf$DUil%wuMb7r$9f(;;ljcX-J1HZL@?k;M#{r72HZ1#
zPYjvx;Dq{V?~Apf_+roJ4a}Yl*eG1EQ?QN~Z}6X*74H#4GXdA5Te%q^X=)n!cRxSw
zY#H2eR!RcheLcn{Uh2V4+Q>f}RRPS+Elh0+mc%Ql6814s4?;>#MQFzfVj$Bf-0G3S
z`D|d8-k=A!`)s-)TnI}bY5UiMGWc~MzqLSG59%nNzVC_?#;*!1+04qa*xY1y4Cd&t
zw{2<%ccut-1~l%9pOQnBz9FWLuGPG7t{h9O5k;5NH};i<DqzafEnB1C)4_2$Om2Zi
z9AC6eEnbgQL{^c8T!+>3GVLva5groQapA(zoU=-};YO=s{<qb<xv}{5`724Zd>k@S
zabFo9mOUSD|3`;^g5oJ#)=FbIU&-C8y(;)?%~_ixG(8x9f6dtOn+z_b?2_6cr-ttW
zBlL8F^+2oqr0w1mS-c>v_{Yg#9VZM-b5Fn4g9Rt&u9uGTSbr{Mdg_h_ilqJuVCXX-
zB2j+Nzy$^5=d?-xFs+GQ+ow$KKV?9ubN!s;Nkue^;(NQ-n1;#`ytlpF_2JuEZ8O&-
zCA6U3sgw`VLJRgoHyMHkP(MjVhbAdwn^cpML54PVxQB2*>ob6oy-s6yl2wr3(?RT8
zt_}(gkyZ5{4Z-99drHx9Ropjr@^5&YE}o&xr|#%50&BTn?YoYuq2lS#qXXh}WNX;7
zF656f#8(R4cRZwy8Qkx=wmQ=>bRGG)jAjZ(293Au-87KT<m0#E{dDy7-EE&1Yz77;
zOU7*~ni%1CDej>U9W(tHC)KOW!LUv1i9^S#hpR-c*{VTD+q!UrZ9JB6)rrSWESQQ_
zHn|VW&+6jbmc?y?E>_TEM)h6zMn&D+BC<MM2Pr%u;`wO=_((gQj#Z(d*b_;X6>e?(
z(U{$;v<)ET{o+44D;mzQa^zLJ(lE1Ev3H;gKuBE4=cxt_b+*3>o!zO4o;E`#Qyr{9
zezYt#uaAm;uFgWYY}K(gm+*HjvIf>?Z-O3$Q1L^l&zl-{RlK{kI3;P&8a$uWP!iv3
zVq!M^O@EaVzLf1Y+9zxSM|4)s{^HO?{i^i4(vb@2xuG^VOvMJY)2#KFWi;^ode={h
zXV+lwTyn~YybVn12gZ{^>L~PVG156i68~=U>>S~+fsKJ0Sy_{+7$Z1w*{WC+nMVpV
z*}7KmEnsrgc&UQTgU8aNY=n>_d_;!xhBXACK;`cf${22Q#@0NY52IIXueW+xLw3>l
z?2x?@b~<y0_a5S0^>uo<4xcqpSVm{A@hM_1%fz)OR92iSd03tH7@#P_u<&fDJl@v7
zdw|P%h5USZuvlevo-E>DUS4*S#e=z)@ea@blJ}ICo#N&R*ksODP%SNkrq>R#b%o86
z*8>{UZW$BMoMO`Ucv%wto@RwQ*iVtsk;w<8BdwtE(Ls|Db_opHbV2N>)C4J|&U-TL
zi6!)wvN@b$h~bT**Q{lUqojK))A;5E3+Nm_GEi__1ijK0H^m!{kbQlFx6Hu;Zr2Z#
z#IFb;^YFA`iRcJ<D&*kM^l5V#uuy%LcU2JQu(`tf_XsH%v-xUA`|3X|-E()Tj)M7)
zODQ)`jFIA1NmXi8Ggt^dxFPv6AJ*4vjHd0JApc2@M*K-M1($v+uBeARt9z0nPrR8V
zPoKP1<I!aTQrzRL3|?;hki+_Qm+v%r<kHh!Yb{J5M5Aa+|5Z+GTz6@0m+CBe(8f>e
z@ik*e4lCn&aexEeR_uQ-3eS`M17an4+{U1%EY!*w#*Te2N-fqY{UvwAwtN_lFoKQU
zLmy3x*l_yail4C4Khl2v&u2M<h7dc<GR4cohP~2Pw>sr7k>>0jGkHFS@VFUX9L-_H
zGol}ksIfC)8n>zU$QJ{cuJLf0a$?2H6`q{to0u^&Wwzy%y8*C0Uku>aW5sa6`uNK?
zSWtiHSM#A&j$A2h82o0yicbQH-A4J?km+dV??*fI;aJ0t$$BqV^lR|x)=p)|6%qDC
z&rt?!K4ZEytAG_H>J+hDi4)I7<oX?sXTX&IPisF48-6<F(kax!g>1by^Oc1eP{;q!
zIWL<Hi|?>9>0aYO*6u@RPnPIGA>}*2s4Y8&^hGTwp5?>4nlRk7%7x`Go%+A|Iq-h~
z009603|EIg)qNDU_uhMRx$eF0wF$rDB9(>^$}D6RnW@MtDk(%(B}9=G(V*1tYb2r~
z85N2KSs7Uwz5ao7&gVSOInVRB&t2WS?G_)J_B}<XOj9AT^-9~NRW_6*Y?QX?FMyQP
z2#HgfR5;`_`TYSK2XZbYb|&2rL^AUQ8;2~ZU}B?c=Bv+%s;>Q=)*KZ=mgN#p>gKed
z?H4b$c!>+SD!9jeq>G?Gbm^>4UoChLGZ{V3#DgmKMhvFE5Jlx?Cp|f)C@{t{V9Z&>
zi!RBXX?AoHM-HQImmkJbV5OXz<#3E2y&hLml;D>{H81Pg?Nlhh=U_N}s#*ZmZe!ZK
zKPH80dt_5?e<njT=}cu#qagb4P}uX9Q5jV4ds@G|gbb%@-m^WL5JCe_j>JD@lt;#z
zZk(-2WT480#%z#8(5^oO%a%d~wAy0Boqv%G4$+%WGA@at|58gY?&?=W?=cfL>^2z$
z6xiI)F^VITwvs`RQ${v7(%Ja7`f?GT3l?Nbpp`Wh!R1I5bSADuuE&r9+Or$IaoeR3
z{It##|Eh|(=gd>?zo5V@^KFxZA~Gl_`Dl8K69HAH#f@=?XhDsa*zo&JS!7*!$eity
zI?_|!S7=G3La8)qA(BY}RUR;R^zb60zvzg>_+u&z#4a-W3MrzY<g||7X-(vo=jeRj
zlLoE2pM6@$N+=+6+L#zhM!z)mFK26LLr&jE_b5AMbW!+}Ug#JFWyfi%=?Lq<@5k%S
z)iEk)TxY*=q9PToP(Dx&%jtqgUPDNGxhhJweK_XZKt;O#qSl-?dhlE3bdkw`8k&_m
zFq36ULu5b6hK_7~m=_VK&f6d$3!Pu_v$tqyO8kV(Lq<c0PYqNl6V*W0yrK2BeKgeb
z>SXXryb<6kZv2NOi71UZq*n4P4UG(?ne>QngO2mN)T|jb(J_{e>+c`Ykk3E&>5C6d
zU{|{B>Z6yMNXy@FU$;FC&B)6*=I=8DN0;jlcX*J{%Jzf<19em+W1eH^J%quf<qBKp
zS0vODIglasMhl$}Al`X<4?yeP`4iDAB=lqKa`wSyGWx^RbI#b-98Rbt*E9Ymq40;p
za$R1UNamGnQ2iHk(5zPuvMME^V&k%iH%;p3ZP0NOsy!Wej=bJIP9ULs8YR37%c|(z
zjOhH|5;`Q?osjK1u8H2A=v~#5QAW-$jn>77=urJSWpF8$h<K+3+dHfkP|ta<drAv*
zK)u;}`Fu1`lTZ52Vg+eb%)XqgFhz&+<8QfHRn<{YFZJ>?pBQ3~fH&k0I-Cye@s4Rz
zLv{jx-5tXP5emGUA(26c{#!4Cw>zsMePT_tOcNJsei4|uzKae*DHiv>4=SVotkTp&
z>zI+%t5>m;3+C|EYJ6SWT?t*+y}+|Oa}B?%@_el<-5k{S&Fd<BQ$T!8SvxBF=kW9k
zX#<yt=HR-wvQpri9P&H4RPQPM9iOuBykzqNAk?h?@E#c%^py6fa-6#hkJ{-XuWAc0
z@6NKOe@YV7y-eA4lU#sZ+2?JY+>F76ZDD5rHpNi1O3OL&t2dZMyl8CyxEZKBT*+j5
zAcF9r2XZq0{TLh9oYEITGsqp#P2x%uLZj-bilZKbm`)c@NF!znLk^4e>G=X^uzO81
z@60fU&zb}i!c1UZ%#c&Oju)jVcGFKf4`b5)Ea5&C+ko)Yeu$F9h4Q)$pQ@f2#GXs&
zz0H_32B{oH;rIva=uf_`jGo;`EH`QBSqaq`?ulpkIBT#XnfBJYS%Y5e=g1Mqs53@T
zH0<bbVu}gT^g=^!hj(EqpWSSFIt(HIzc<4>78#J)>Mi4@xK_-)Umao<4Z&LRr*mHP
zCN42ibuCo>2?jT-%gv(=!1^`cY2Ji2Tw%)fT>E2h%)VCP!^mfSFv!Q#_AIU7B{I*|
zSp^>Bia}k`M9_yR?ulOa_9dKKzcn%4s}=u~h&`CNrw5;+24!a#{@{87L)WtVyYTY&
zUYm=edhlS`ee%Td1$_H-*t%|LA5JRz>Y#E_7b;NvtQ2J)U#aF&k7F9dTU-_z_OI&z
z@va;1B4rLYb~xp+xAiL?a3x^bEkXx`Hq1i0{bzADPOG@Q%inN*DoK_!uML)^&gZYz
z{Knfh8As9%{KV}9#;prOwZVV=%819@3@*;W?Bk;G3opGev9olE2K}L#H1)(8Jn8jL
z&5t}&xL+xI6zMDtns-3B(}@{8^Mw%o6x(k+^kMe}NlqH9$@yjG-I>8(*A($)@Xg`B
z*1XPmW>djR@tgjz!f)K_)wdkwig|p4^=Z|DIu-68v}+U@{f&1dbXfO#{K3o0u-?=&
zT43=eTAC0xi{DjD<bF$D!jr|V#Y@X6pk^V?ZzDE`+pfyK3z1sEU-&F%6Gq7pxH&Qu
z@o5fsZ|g|(C;r86rL&XR<jL@#yPJm$n#Z4HE3TFuS;yHEPfl(>LW1Ki{Q9bG3%K_?
zo;PuAoA@;=W1Bzan$Vhb@$SzpTpF4}e|J_hAl?++D5Z5G@J%Qbs#-1KeiSt#s}vKe
zlaAh;wIjmc3Ohcr7t447&9;<U#EdRq+5P%TwFdnC<R$EScoo0;F>1YkA1exq*-Y0K
z)qp;am}oxjH9Tm0x@?CsJK`aoY^KGj!>*TE^YuC#`0QIcA3>QDC4@09|NcXO@wLJ!
z?|^@}>FBq&hwQk~vwSnv=@SHq%-hMcYnlN`TwmU%`Ir}}?0<2yZBY$66lNkzESXT_
zVC~IM8UpC6?X|J(32G4jweFwb3uaWcZBL1Qjvz90Kl{O1Rt<8aTd^!xRy5nl_k&kM
z7~RNlEmdw(h3e0k%*CzwUbFNJ`F{~XceWpC=L%N^#x#ZhV#GL6$DQizkQZV|yS9Gl
zsje!hE+3{i8gZlF5p29}?GotVQ=Z%UY^s2VcYYvU<wdMDfv1izOCw?0y4{Zn6=+FY
zFDm61K%d2WQf>yzqLwG$o)rF2fidLLcsoK6vFA-loZwJEq-?T%*QyE#=M>smtqUQ^
z*V|{?!xfQ3T&97qrYbZS?>^FdR|MHy@iBa`p@i1gO7?QbszS`Y-yu=qVyIU%z$Cm#
z1@-NTu@U&I3g^EmZ^{NppaG&^_iZ0F^jYJ1YIdO-lr?(2c21N+@A%{2HPh9R?F23y
z6H5STx8rh@E*bR9hcwD%NJP?Y3ZwQp>Y!i9y=}l;9wmzjOHBa@RlFJ7fJF@uJo?zv
zbVdP%stAeJI#Q5@nQUi$o+j+PsqOuJuM*l_D_p^DNJX0=GDz|k8TOCt6MTo1k-1bx
zumjN0VZqK$mK7~<d6g>E2C7Ku)kK)Di8iukyTbA65DlIT{*uOCtD&l?gPWB~I;bo%
zWi)k48zy-Vw~ITeqeLgM_bX#MNa`prm)HYc*eU2(nD|8l{W{+`KM<>n#PanEJnrg)
z*E4}*Vuv)5t>C!(?jc>&9wy!_&};}|A08d7e?~&j=?)&v3%W?$*CS=@pE1;R{!BDn
zAtUp%I;SJ+bdjA`SybvCQ>da8?QUk$LJs+(ywl3Ms8?E0a`id}O?T8?Ti<G-VaA^i
zPwD6&UaW#$a~$A0w0(<Iry{*{LuR)L8anW&<bd0>Ie0TqD@p?uB`hBDGqIzhnQn_Y
z+4pq#@hYq;RFjHS9OLDE7D?!qW(eU%vIX?qUD<BhqlH3t9<%xKTOBp7f0@abw1kp{
zzYOim6f__ESIW3i1@)IZSeS=dg4v1ML(~p368-Tqx-Uxs8MG$yuidZ&@7EFqH=Ic5
zm#Dd*sE#D^4xJiu&9DRs!hatcN{Og(-x)RA4}!?UUnOjhk0n%x21h-Ar;Ze^5uE+b
zvLPp}0)81$OQ`%3-6Of>ubg<|ds+3C@G>qvowRZbcvbbMq`FH5QMr3)=O4G>`&Wl@
z)TkCvKdBMG(W->58b@%(EsbM(RMX}&rF75_aXK~7q=3wtqNsDPR<J46+GAX@boj+$
zMlQ^kMO}|eQ{%-M;q~CP0KrsquoIppk;fzv$4qKLS27DsI#QyGnasg``q{@OA2Gxt
z+|<0b&IY!w>r=z00IZ4xwgo5(Bk2>z%8YY30CYEwFi&B?=D^)*DJy{1lis}QP3D9N
z!?0apzs=zOiM`=k54q6xWN#yVHZEWta_&mlG=-Mbs-;_%tf<J3?@_HX7o^#JdnzSq
z3d(zX5B*SNMAygS6FxI>L7w%tk_IyqkYdexLKFFm^RoxBu07=hyTGp^jX~Rh!7bz0
z^s{;V{IiAs+T1ze(uPNIz&&H=%_+OmvVR=6{x%RUw7~&`KXV+{CX67yNw1|w;UmsE
zv#RTRn*;7rYqXJ`5xBbDXN)^mjnkql<0~CFVD903i+G|T1hJLXjt0NMemH0Fm&<Yh
zsn}*Be8d12y?t*L7JR`fS^8X}7&*Z8))`L^a|7si+0<wc8N*KOf5iHYnFB`XH#b8|
z^g(M%dA!_n1{2EF<3R)tsC&K-+=caFX4AOos@ptPe$VfpRxk%VH2r?<Yl0s9Ma7XB
zdl#`7UV+WN&m17rUR~3+rVGx;WpwNXR<OFc8EdX!PT2MQ5@q3}E{H~-6GZp_Vva<+
zwLcnMF!#LFX6LF7SRUDXU{rSlOFPx!{)m?wGQLx_QLGO9q<A$<R{X<kyg!bFN%KJ4
z@ZxD_ZXLL8{lQXQfDzWEU0;Vg@Iw5H2ywYwZMbCCEIw<)1S*$5?pJ-v2jfdj*VMJO
zf%KwtXeOB%a_zN`2oVH;@PxPg<{KKYy5`>F{=@=(Pdph_IR#;E=(EYaAQ}iQ-sRua
zVFS~;lukPqA*fhxznCma12Otub?1C`@WM6pkfbo=EA=<uXrjWZPqJC6JSW6yvAdV=
z5`lyB;XJfRDgc(i&s@g^ZHDQ&zB!_xTF0FKl1hcexJY0=#sg|v8ikH5;&A2a{@%79
zS`hfm3%xhvgAiidr{Poyu<^?8_c^TvJE~HgKS&CI>&e+bcM~ZXDOS1qQ$Y*t%}84P
zYJ!l%Cn+t(EdzPxp=AEg6xbai(Z6mj1R92g7-2&eN@fiMC(0=B&7iNm@vJZirSBRo
z;Z%Un>D6=Z(kXCO*@pE>rwEYt{k^uVrU((2^9KAgDRA#+LHliOF<3Nmul90Of~Qj#
z&elDmfX2+JaH$$`I8)*3bTnHT2$5g1gqJBm+ni>4V<QPfd9m(=aTVyX`mmtprUmQy
ztOiC5((pOXF3)kN8pxE5D*u|)g8hn;&jR1cz|OBEX7<Mf5Td)bwAfRDB|_uNV4WPq
z*Pbwr)zkp?9XrxAUQ^-K#suSCHw742Zph%fO9Zhe6LH`|gW{|LqE&z*ur*B?R>_dy
zZHh$=1E)6ZwmhU#{htz)xGu4M-^$hT6RZA0z1m=*q@{N^PZ?APxm1dOQXo0|r)DnF
zf$;gmk2D)qz=jan_eh8e61E+^tev{x;w~B$_kBxOsh)<Vx2SOJ{<QhSB|VUPTCOC>
zLV)KdB>Nh8X<(l6%eBeO01OKx^TVaofe^azdZ#N5cARa#ffpFUz>oq@qM`<Poj$Di
z@f;2GmmZa$6*q<~CUK!OAtHFw#Z2y=p+R4t-wDRtZSbO#$`|vK2+t_aeq=fgQtMmX
zQdLc1&*{uRdRdy_d+y#+M-LUOeT_>P%FMu4KfsVnngs42*ldlqc;=Y=eM5mCpiMhu
zK|YuS;R|wsuWBi<@?OF7{4;>s3}Wk8G6@#*H;!>vkU+NOgw!VobMUY1NsbFA!9MH9
zwV$1d@VMsIOj4gYz`qAPtV$$!ZF_uv<_!VVu~m6xQ##CW?F=o-)&%eCw@xQ2s)ERm
z-0Z6t=pgYDvE&XA;m|&d;JX1zuvZ}22CJdNp4v0xEE5{=E=^&~;jBCu<(aQ=Hqzmf
z1aErqdv&P4eDY|iw-lT=8r{$Ohz>*f6FVcW6W~+B?=sU8Q7{S7Ri&lT;jR2LCu3_h
z*zO|Y?BOa1^qZ06vIptV&}!7W_)P@@BEF32DRYBHt#nm}03Gf)*>@+NR0f8SPttQa
zEKns<N!b0&9ICFnZ;&{Zz|i${qNLU)mL6aEpxV_OvPwP_Y|B>wPrl;yTPlkf`^sbK
z#$^Eif)z~WtQ<T^Qj4PZPGUjFMM#?|0I6q6_Kba$hK9;2i@@7ou`q{|qW&rX<V0d)
zu(KrijC<-^Bz0j<#Uhy!VHjN3ZL1926oZwqzSnxsYOt!CEZrjcX3(&6{m=KeA~5`w
zSA7+~hu;{u67BKU6zr4T6(c)@fWc#_?E>cu+)h+(l%2^Gg4Dm7T>2vb+_O;@F8)n8
zKB|B4p|J^w1XXitT;qeNcZ0GyXBu(N#AN9gQCqwUmngrJ&J9Rwy;{rdDQ?a<#I&Qq
z80-!d7ybCg0m2b(4YfL@czoI&M_X27@D=Q_OFqX2pU%7eQ&Y&m4kyRyy|6ce0(*<a
zm;NlE?<M7^_Fp{~r{T9hu*49)FWz>K$zTFL$ypI1LmT$axV?eMU<ieGIft%oFhKpr
zp`D6r-57fwE$WS%0Yv!WhZ*4?_PL-p@~!Rw#t^UOq>A*xZuOzs=jnCqC<kwO`SoF}
z%|-MH8$lm_*_A|QuKmTF_8x8jlroCl5ODC@nXU(e#p{9fo~syV@sX;8p&!`eoD{)!
zMm_ja{4+U8bOmF&DJ17(_zU}$9z^$v(1nvVw$B8Fm$95-?KP>}Q`q)b-G>;bbs+lb
zxS)*v5*FrtN$C{tEY?@0?3v)F16bW27t5|iY(+Htf=%xn=7@T_2gbC4uEVtR$N5F<
zCG~veRM`U7wcK-YDnJ{e6V#I>PAp<0p}W7~X^R+J-RkY?IT|#IWt82&yokA(D0yB>
zUdB|8C0&t>-qM|O+C)O%B4+pZ@PW+2RqQL?E+fxH1M!un=lAw3VM`09$$NU&Fy^WH
zR}D9*aCAKX$?EJ9wl{xd=mv2UdzD09oZGtltPi_XPT|Yg<*}&IkM<0}!ead`;hGj)
zGp=|hQNMy6l89^*DP;uL`{FD?ofN?J8#|qbSFt<)zO^igGsB+2apMLa3e+<F(!;20
z*!I6#ZRJHQU|H=@blrgrbNu$l-K*EJ?;Q=jS^L=F`*FD%><$Us()Ojcdv0QUndFrN
z@*JQV>-&CnO%sld(8)YX3?Q>xRIpWy3yv5axuEW<33f@vt2GoxFb_DS#AeI`CEOkg
zRxgRL>x$t`b!R5HF(Q2ZR5Bk>WT!NL8W2HlCa2_V0W)~VDaL(I5`aPReYaa4YQUuu
ze^E{@R&aj#UT1bv5biUa``2iq0nw+272UJhz;g0EIpUZwT!@bF|J|hyn;%al9kAhm
z{<!_d%KW16&!KfBGgKW~mSjrVwtPwSb+2~~ePZC6@b4+6tPXui?q6DTc%W*8U7ovD
z0#500?r8o_fF#?j49Q?VV2yI<==>rD?Ud1%d+P~MF%ll=7Ayc0f8#4|smVeSIp<(R
z5dlUo{i`!;7KFdE>rK76@{m9qdTUZlfRV7la|(LGkUL4bLQzr#1EsjLnlA}(f0;>h
zqE!U)WF?u5Qk5W(Pvh_b7Iiqhc;K_|X)#cg=($`assb{+HSI_J)Zx?UXc}$51e^_j
zu*vsG6(({PFPAN;gPHA_ilp6A5M$VUX+Dqu6Sh2o9FH_$Vz~60;c*!-9CmbiXP^N~
za65Imln8`7QC9nE<={{D<E*<PTR0W%zU(om3H`TfLswH2ATxE&rF5MHy6t90hwaHw
zX!KI?Vy_~+HV?@dAEUsz@qd&5M77}kS?G<`REF!JZ24<GRCvJ6RlGlw3L<%rD&<pD
z;Q29Cj)6TiXgMJ<uGc{Wi)MA!_*GT-a?|*6in2ER$!H$dr04)gZ%5TxzpZ_QJHG86
z(uTw=Uw-))x?pqcnSH_sb=dhpTFx?52TtEza2tryhe^JdeK+-p;9?M}w9=~sg6>IA
zLk}9lnSx`C(dRVbSIEw%v`rmQDVZfqIT^zPkKEagY7$7K-{<rl(E)-)WyQRo2_#vy
z4PARghG)J3<Hw?OpeOc5KHph0xPB!lbLcz;N(ao%@8Q~@)O^)d$pS!%D*WS&xE4@<
zzK`Ioqk(jH^V&@VbD*bI_y0Jo1@05i^QwKR(8-t_>mt0Rk6$-qI6br=Ht+d&-&!(+
z&0Kbdw{)n?)k<IF)`D{G4&Du8A`~XxO<p~00d*3~$|n94C_l=hl9!|gJia|Y@4dEw
z{#{2@)=rb5b*?nxZJQEYdYSG;W4DABX0{I(caUK1#n<vIT{#H465FA?l^>fLBF#HK
z6G820nMk&&IE>D?2-~w*!d{z~^gz%6)Y4p^HY5OoE*k5kw-yk&W1scNIRd0)28_!E
zuz~%ZZ1(kN3rM(K>z`Mp3bkjf_G#IzVj7A2qx8fr;Na5rZ4U31p`rV*r2U@}Eb`$@
z)np+ZHp2Ckf)^Emv^R<m9q7gh%Q}<6s&wG9xcRF^Q2|_*F8(IhPveu-CPhj`=J2=j
z2j7nd8IW!L%CKvC3IFZ#pH6_hIT$>NrQnApLFDAwje{fWxP|y0a!W3NJFE4!dLuFD
z+Sb$UeTe}T_Vh0PkOAQ9ymPu}r!W*meRQ&)WJJS+BV(=R7~GIvzCCeG063aMyVo0-
z&<LAUbD5nPY)ZxG3uyDewy70wf&w$jOeAkC9W#aMIQOEDRqWt+E#pQNjTyNdr@wk|
z)dZZXr{<e-nIX9AaYH>PGxB5qxj*CiHb|5h%JTj34_mzSl2LN2K7{nwYAzT<z7aB=
zbXdjQ53oG%a%MtbehpD(sm2gJI%&5nY5{BL;@7=3#fY9~t#vp=8o`j&@=xm7Da?o(
z-X0alh(fhy$lXm_eD0cmcZ2o~qegCOh|4n~g+hM)F;PPpjPSRr`p}Clh4-Ja?_faW
zw(qZ0gAG8Y;p%$vjs{HY@tHeUlNeBf{-H9BxB4JZEjE2GwhsTuKD5Z~$$+dM?x5e&
z)`#?@)yCx2Zv587tf}%|24v1SUuKZ22Ytqr>&y2Cak&Kcgj7cc<e8Ow;Te}6d>T{R
zVPW_Ur~jxN$UMz}Dyly<F2?9WS)qSa;G;1-FlH@F>lp)DmJC1Mu&4ufzl?Q9eVfDu
z%+GshN-`oY@4)8i5FPN?p4hy-_cv~KIAX~<lMx*)4m%t?uMNXPGp6Ei=kRxi0X(~?
zOlYoTzJYvF8$zx2)l1x2z+0w5`gtdr&@OSKZfOQ>IC`u8k5Kp`UXOSovy~ZT>=k6!
zNv451(+lQ#%Vqq1gX(tS78Vqsa?T-4js~AemfMYFSMeh=7Rrm?SrL<$cE-0_Dri4H
zpe4z?h7U5ar~e|dqpi;_lD>xu=VOoSCakaH^B338|IFq<b&3+L#C|RK%vW1O=l_R`
zdG9z!rf?zWkr#PVGFou)BC-2i0Rwvc=w<%iS#D${s&!&V00sEG1phwkU_>lQsXD|F
zUUa<TpRQsP8JI@gjR-u<s8-`w$O@wX8u_U^K~^Ed^!enqGH({-IUYJLKoLY5LE3B*
zX(XueNbAQ2Skdm|@~X{|LTIEe{n33+64VV4QWpK$(dClg1kqt(q<e>NZYo6+h)hx?
zOER2D&!IV3{irB9EEpNXpri>m&g(iS{oz7m)Km|epg7v5?J%;xg$QU@rj^Ja9@HZz
z!y7mvf#edZ_a~p+^7p6s5(VY?k=vqaFxy8dq&VYrp~931Qg^uIE;Ve;ZNyb9{8t7^
zu^+c#lq5n)@PI=<lMtH8HXiWWE{}Fy5I74wMDVHH5wy))7)?a_&sBd>Kz?m|#;-^b
z;k1H7;qg%s<eC#U|65xL$zL9qkFzGi?xbQDwpcM_%n;EznX8OMwC~FqWD_C3z;4-Z
zn*@@j@U`&Dsv^IziUu1#O}JlJXm(FR3LTB$>0EoDhQwZXo%{Si6Joa{%}ZPcC49Ft
z^gO7Js%tDyM_eR9%+ZFWn+9@-^9FBRDL)aZ4wLKtWsrew?T{3hD4<w3OU;&dnuu6`
zF*)%o1xl{<SV<gHMA;`1Z%;ZIl~diE{~1uB(DcBe=cP)>Tkg2<^gb=*bDhD<M}-C{
z-u*dk^UBCNSMv5^3>6u9mHjR>(1ww9cFz$DRTSfKd8W*ghR)`-G_!{3z|BYYow+$`
zsQ=8(>*jxGh%Vk-mf5%EV=p`99GxVfS0Sg5Y{qLN%b>@~MV|T)rliJlT2BKxzKh<>
zo6tr~<0j{wcnu*VN-lUlh={@_3AR&mI;in8$;`RW2<ZPkl~_yBL^1GU`&kJc^y&UF
z;f$JXFnHwqMdd3bG#nZycehI$J={L$V4r0Qo_1*dqbnIn{6OaJ7TQQwV9KpvE7z=g
zF+XBkA)|`|izg{3Xh^EOQ|r<#0Gr#NEE^6`kaXu|gNKKxNL|^oD=Nqwrhiv|91Er(
z!>&8K(?luge*gdg|Njh^X*kqv6vpkwkbTR(j~Ql+G4|zuW=Kg=$&y`ELQzsl8==S&
zl_E*VOC(ZJ%KuR*m93H_MIuYezHhIu=fk<4b3NzW_wW9AjsMwZO*Uk;eDED+(-5au
zIe{vxgJ?0S+<i4{XgRNQhO?Q9471-jICYZHJRUYaN3{lu-8K3_2`X9$l^CU;)IjCk
zY2v|=)==c6XtG^a7lrs0i*YHbA}PJ7R_`2Zs5xC6!tSG>no^R&p{Mewa4h@}|1E3C
zyvK^JJWEDuvH_HH1yaZ(i<NJF#u{|aQ;dz~NNBvNqS;4D6ft))ul=;PhTCFW;&5jz
z6yThi;B$%(ap#{N@t$A<f6&tH<$Mj4(k4*-$#MxdDbsi(eu)jc_OASF8Bs&mP462|
zof*Mn<K~V`sIsBG*wJsmL=^=_#<bS_eT{!!-^1Em%7T)N)n_Wo%4nrqMtD5217lyV
z@ylhfAUpL(h}B<tl<P*FSuZ+_nLRfB`k)GcmT8<k(I<;?xz4yKDotPvr`4zDEdfYY
zxi@zUNuyIIHl5m5K8?Na3pEhAh=EBUmEp5b0tFJ4<nHm#Vbk}{pESO01+5P1y7;Up
z;;~LWpX@!4xh$RxyjE)o${a@~jz_ISjy?SJ=*fAkX){y%{x1u#v~Cu@9wvZJ3IAE(
zo1Vvn462{r5Ve3k@xczA?|4x+mgvxaaUSdU<aRdQU=F&kTsXhSa-r$_0+T1d&SAHn
zNElj1n}J2}o6KDLDo&)owA7xT#cp^EXl;6B3i2_}TuYbcaXdXi<`l;)HhS=>?&LaC
zI44=}o$WJ?PZ5ea4{*$2Qsv1dU%X7<f%{%B75j0#EX)7MGVe5YHkaUdrP3HWS6F_2
zyZ_*$v24vHxhd@Pd)r$r!p2a_@q#0p(2p0SvV?PNC$aZg#)77yMo=xn+5X_i54_RF
zOIaXg0^9re*4%|QL#QT-AXsk0dqnN3-cF5Uq?H=hSt~=Rxg1V>d$s|$(CW=IJT;De
zu`>!BC}o0~fN4|CQUxwIu>WqY_BdAX_Hk*lG85i0ZvMFBlaH-_c7ACzH-?2<<!Eop
zFaY7b<f{s{b(lT=VuXKW40}rFT^tiNfOA^C2A+wHn5QInmLJbJcDUzR+TK(K<UZK}
zAqPKU8Z#mOUaWD<TDn5)q8I}>d6IQlCLNe$0Oxsy{Bf+Y<I@l8Yx?k-dH>V9Cta9w
z!@4Wo<O$6F7!NyAMIXHGJnARL_F$9$1&6I~pTHu|mr|tf(IJ*?J<7Pzi)~K2`0RAi
zB(~|}GXa7n9S(60CRmm9VR^C%5#o7Mm`9J)g;TkDuyMef9QN!t=GI}8PJcCx{VB7H
z*wsV>u4hrXN$rD}`Ik?o*F<MArGl2$WDXi+e9g>Q;P``G|7|24nlOi%wGWetW>jcW
z8jtT`|HaJGTc}R@3s{NxocXIrU6@h+?9Iv_#kQU6z2+vkgq`s4tEk3xKxb;^??uUR
zjBGV;FD<`<O*Gz67!lL~_xerys}D?IL1m<D7X}A(agESIyeaT&Yohgwo=Hsn^%sx8
zqnr?4JZZGOiVWGxHMjR2TH6~BzDN7IxZo!tZ4#Fz!?<Nm;T82+jQaf!b?ZJJ*m^ej
z-Jg@%U_N(`61q5tVSUBwA#!}+piq8f{V)k?T22}5US7Zg4plfEnCFLgk9bV-yh%_-
z@G&FPma$85{5)O+BDiizub=JIf_l7iv@?Ab(|SB|wAfw<8t-X-FY?g><CXXyk+Pf+
z8ueUNt3enhd~UYy{i_Mg^;^pH&U3+((&R#1ohU5Le>WD2(*#~$%L*jR18whW0v16W
z?5K@r3rL!fe&30h)5;5-9X}mH`z2t5@hP{6b`6j!{JH1E1AgcaV#M)2kb>jiZ)^~_
ztO0xSb@yz3App+_eg3P(GH^IyOv=JX1K#BFCb4;h;B_XhQrfy6#5Ym|?JPBbr*+`z
zhm*n}B5-YVJ6Qovv~7Reskc_Iy>P<*x+v_eNw~MJN(sWg%zRNW(|}!7j=|dE;^6e&
zN7t!V1!(63+0ASHM+@zC?Jko5gDsEZw5`<O7?)zy&N~|5Z7&e)5Gn;~zsX(Y-_+q*
zXsmFPh$iqCPew?)%D{=Aiw+YRnxI>w+$DcU6EaABXKwFX50&Ae#=@Z_kP<8onF!Vb
zIX_yySDri^2o6vf_aj41Z*ao<U=p0n+UP4pPy*x0`L>B*9oX_>>UdkJHaxGP?X=vY
z0>(#?XW)4%m^E&4t1+fP*L%_JQpKu}8m7{zQ>q6#!L1f<Qo3+T-^*@RRvpx;d`Rg7
zbkNj(Qmwg_2Ia!%I?XdR;9XYJg@0rEFy861RC|ODH!Y9eAJx=?hq5V8)rJ@lAL4y~
z^Nc<)%~HQ*Jt0AblS_wZy#efx?i|l7HGmGYFBuXJWN=lF4YP`5!r9gSG^GqfFr|?Q
zfnO+)l1OmdJIe&&=a=QA%Z#B-FHHTfgDzZB)OK}Y7=q*0aG9TfOhM0Rjw8B&3hPCf
z_Ky_}Vavlj$6IU*Xj&!B2{zN9emr!r`#uw1up64$YrY_=c!t~NxgPL;x|<OF%K(nr
zq~_;E0yJCkSG6(dVCGU`Eck>0mQ$wX0%<I8iqNF*@TS96?-qxP#`@s>^gr38i);w)
zy5hLiiw^aPN#|U@(%=A_{zlZt8YIsIo&QIr!wrKQxz1~I;J#;Gv~$})g#EuJncI4h
ztt7kaV}=$OB}v!ph_Hd&#W{LtDh&?5{ixNlQ4L0Rml<7tU;|<ONpq`uR8VppKp$xe
zuqRzmdws19yey@~bEWEl+Fw4Bj;kd2Jc-?4bkhcQHZY1xo|2)bla=^iG!b?+)vs4_
zwShBIeDzCpByepLym!)c2|J$HaOdZwH3Yfr@hGcY+p~Ll-!AraVbi-0RmVqJgJQ(w
ze>-lf!)vyqn~F>yZX4hy>psl}8Olwg+C)|OSoiAqspeVSw~livejgi3Gr4~U3n~ML
zu$tTlBTn>i@A2z@+gac~A;_rEk%vjg4XwsHyy!t>yDnuT3(W7{I=DYt28_D@c5Ywh
zM_T>C_ntfjcwyv!e^x>gjAovahJOhl?zqMfssTWjR$o!#fGAuz-MXwKCW!PO^{>3x
zjX{X&_dmN91);f8?3HMRAPPGBsMIUi3cTw?0`g1vAgwp=K;)1h8cFNvpq#aYD=90d
ziobC}g+~ml^Q$0wSR*|0G}i*M#+-eN1r{;$r6hNbY(do6$R*|5Xbx6tOxp>|Nvt_o
zy7PgJAljt)f^R#QIrz4Fk)NI$#9mI7_#NmYB1vMt3}Tr<l#A63jL?BO>A%;Ox<Ewc
z`(ty45=_DOw0&!HRTkE{`jK|al!&ata|sHaCJ@lQ>rSEPM|@rWcb9w)B5Jf~Ev(UB
ztE=bLH&c7@<b!pGzV!;AqmOl~tuGk^$4cvlCtHT`cD;Gt)II^^^Sz;Y!?Y2+i&i<D
z&_0HD7eBu6m$25yNy{bB*9g)W@l(#mQ+Q<2u=uVWM3l?8Ul;Jf5O$o8mQHe=#W}vP
z@8rKAA`z2APk1*O!qjA}TbIoO&Kp)c0v>{B|7Q0{%~wpg>=0HsEVzsx_=(#bR1`wz
zy;RSZZeW5>t#h4k^(t;Ce(%^0;yRS$BAR`v(EyBHmsMgYoT%C?JVshw7_~~jaBp)n
zfc#pU?E?{9h|pmdFc&C-s{C5M#Sb&!^!-!<_e*XR@a65E(u1PN#d((dRWt(zsy_1R
zNb{nL4@?w$K@2HJ#IJj#!~pRV12N&@d?;@3E}kVFaTHqCemJd8A6}`At3Lg~kER7l
zPsiyJh?7d9=LYFRg23~}`yK*F@{y+Z$8D0R<KG5%Q#pO$*wZEd^Dhy(zfa?>OOira
z-8BA&RyuH8&K7%qT?ny!1b_VNmqtMbM`IgP=)n9v{UOsw813M&xs&cCi>`mkZu_y5
z4g#90r@yI*BDv<P%Ux6JQNy~o`zqAwYur+jtwa(-GvR{#L#6VFV&Swvn$v?E`9qe9
zR^sTrKZ-4iS41Mc7nT36>5+bO8_8k61p4f-`{}zFWu#D+x}hUW4<0=;eJ6BR5>4ne
zB{jFIproTe+}+dkKrC#%YZj+8QsZIlKRm9ABwlr9G79v->lCAc|BwvY>OeK_P*X=A
zTDF}FZPx>(eTjD|^Rg)T6LwHEKm&18>ZBe^(V?VepF%>G9D4m(_xF`bO*AS>Rt#{W
z!-JE&Vc@KQ>g~64X^N0gN`;K0ZXq2E=6u`+wUy9=O4XK}aBcL^$;zHzR3BU(hWMKh
zRZxVw!BBe_87b#+SPrG@!`|Ib8kdQx2#$U>JiI{%>GP2r|D!XY*3~Uzmy{aviHIMs
zFVsaJ$=jm7tnI_W5axs<Ngere>TG^BM@2_BCAZyrVE_jm3MVit4J6q2BzRe053Lv-
zsf@2?Ld$*fn~yG<$Yk%#`fhbPlFL&&#B4MKtlwbUc!(By*^wlqbB&Iu6Z|#IB_nvA
zNxJ$niiD1Ti#K~cLPx9l+qOU5U;<}T7yms!rHzsXO5YYJ=_BFX&SM7)OyQr+`A9s3
zjO67a5=}_@sG)Ck)J5DJtRr^1*{~_7nD1Eq7^gmxLcJ^B&s%`cMxUV4SqhTBoAn))
z&{5X_dmrDDC3q*<>tBi2LFCfUnb~Xa<fsz6-5P*Frr$ZX*^myp{e4Wl<TDLzk@*}u
z-~kY(pRYeCr;B<&JZVTIuH{7!nY@G30QBdTo=$6daK~NB_5%|X#4BaqbNB=cKFkN1
z40Y?EKHdFU>vFV_F4r}2hXEFR^|H5GI;4a498Ntbsj7vtcyDZvHf6(j;O5YGtrXPf
zdFFM}C3W;^&k)~0C>yqW(3?FtD9D{FqRNs}71gTvjg=&_;rkRr+>(!s0-`Q_+ajch
zDzU?925Ua(?>hZbd5DCLQVwTld&?qHl@Q(;&IYLiGo!)fS}1%MEm&Aw67jXLe%{^4
zhS7l;Qmelvn)zybeVef;8hJbyAwXoqajQ*#I*A&HYV|C=sZ0QkYjfN<Sjz%q(b^+-
zO4ZP~<bbc%5H})3KKw%tWPzjLew!<fs%Ru(W8yK|3Vy|lMKC3@AWYgi&vQZ<9p}vT
znBO^r8}9gYSMNW7JA6~y#61;Jq7-qeM{x{)rJ>YHV*%vn?AA;EC5I$_2?gzc{2Ldm
z+IOkB5`*8Y)I(T`EYkkNBL?B!xL^8~TO0eWAofjn*o2QX^1yT-Xg7VvPpq3dS0-x(
z7aqMgUT~L0o~~yvHKexSuF^|~+#D?-sE2Fuz*%uL)9W>s5&agQQkg!ZooE5c>9l{o
zt)l3P$y~%U#|GTI(0%FdTXSHrwJ+1J2qTLbHKA>s@9}vf_AOmubHGDC5hFVUQH9v`
zls|s0c&;9oOOvY^oU;0ULLf*0d1{{Zk2}(a=ijaxNGUXhl=Pi7RW|%6r+hcP^Uzm(
zJVkWYXTb#KX!U-p{=7)9!;3Dg){Up<uW)EMnLrq^Gl;pS!&ZTbI<ohAam`OV=c>z%
z!F<P+OC?@hXvCE}-fX!aFWsIjvM6p0lAq9(uQX0{e@_*@>F5w1H-PEBi8O+f>wH>*
z7#!#~7jJ}$*kAm8XK>(BpCL5ZJik!Xu!4uVFZ^2$7{lok<)bHe8p5FXp)a-3%lK){
zJ6p#cC-ANZ2f}F$On8H0!u%7K@USN%M`Slo;qO~keHSn$)I<={Zhu|G!y`=U*E`SP
zsdS<FrWymF|K*e2bYKxr>b&I}96pCPUf$!CWo`fyDc?ngutj`<*IC%0XaO&q4l3A*
zGhqD<xy$Vii}?76S}JvR2|u_fxHN6cfUN<$rWLO&;<ifN9@zn__+#0OUr`_R;ZDZS
z;b_q%+&%Wif$Rki<S&&IJ?OW_x1Q%&N9vaFK|ivzv?~`<sXi)aJxzx+jg46%h0FLk
z!LvK#-f<&pTWHDkBsyF>bM=T=?FuepG)^0G<wcV-zW0|%bl4aA+IN_T1Lcw0K1Fcx
zqqLe$>XNB?V0Y(IidH=b`WtAQb+w6r!e0uOG_=!T@xLPX=v+?p!T+=U@G~MR9rKzv
zM52L~@ZUiG>s)C2SBni>+l0`bAy1Q-XeuZuB!vjw<3{g3D2}wrh@jwv<o@`6U6`)O
zcu)SxgX~fUNBinUQG2<93U#M0c-Rb@SQ_ymja^%$T;;@3>7GHgjm<j1_3($lzA}Ea
z|JH8X%!?9e*vmTP<4zsO%J5&{-y(o|Gg5v^D@dWAr)ghS1}R{zaAo278n>0}W>wfW
zOQUl+2TP5TC{VD_73;&b4pp8bzP(i-iz?xF83`z$$9bz`N<{>b`ENW)xGjhBI@+b0
z_$c80>4m0iwJ74#_Uf{IqkvY1wmY2YCBu4G(Otm{VyFmRRsJHQjMA?pQh$FY!=9u&
zPQGpu$ZQj-A@H3Fx}@x(V$??l8<V)3?VlvkT$=c{Ol37B)$`qhAVz_GEN5-!gVJb|
z$VyzwMRi2vd-5mBmjd}a<U9??vPk8f)BXB&n#i*tsgk+I^~R(}6DN7)kgc4Q#aw|F
zT3;gk)9r)~po`xwHFGN<;<+x1Ut6`&Wy{2av5vZ6Im}C;Xec4#u+L3C0tF3T_!eB|
zNd-OL9h-hKRM6tn3Jve~I*5)lel7e*1LHGnc_05Z{mr=OBb!b|?SFPQJdvlvVgOS>
ztiLK*cK)^+D*W*(VTY3*YLs63u#KP(x$FdqEhFk^JnDwZL^K`w%X>_6Dlp)wzzC5G
z(?n@2Hy1VR_0hd+``_rT@z_JDiJJ1OT8Qs%_etMneI%j0^l<hW6OP9*o$H24=sd>*
zh0m!B^sFwYympfj2-njU1C7bZHs(;b`aA=Dm~wqsJ8KLiS>fKwa0<GtCo?#vXMjAC
zlOGqpGzE%&NcXc09b~Scp-`-2fRxSe`32;g!xZ1rkGTw8q{D6S^<X~(Z6{Py^)Fh&
zaC;czaS#>lea8JyViyC+9{wscAA&)0ZQ8490u9-9#>~yf>7yk${5m}w;7d7rI1)%h
z%?UAo?uOEl+Wz|My`d~nyk;LE7e_;dCafpR<}_q~Jh5<An+=^tn#t#O(U2K`(VzXM
zI;f)b<*RFTY`AitPs*{MiaM>7A978TkbLllK~F<#Xaeo_2NWvuxRWpJpQ?eP5A|M`
zj<E)nMP^+qO&67_eX6u3tD>Ul;Zr~VvxXshP>#bq1qmm5zE-W1NA(qZrY4Kla+dSx
zn~KY16r6oa$2xoME)Lwzqa|1apVS`LQi3)r`Mrx+P7p=k-pk}BI#>hqquSpc{#t0z
zkW3jc<3sa47fwYlvZ4P!&eS7i8b~>g2lb>c;sZeLkH5|afj6Ub!c%JKbb8V;oqxl4
zTOd0xkIV*YnOgi`3sqE27|M?8!|`4n0Xn^s1x8u1=D$>wQKD*TvAJCrHrW22QfI;f
zO|_<9D}(Z=%6t2BZr%}0^?|#){BwXGP6FG6zsaJem=<qO<w-1<78Yv92I%Ew-?3hn
zLT<mf-nu-R!5X%3L&#+eVxCS`9C4CBeL2rmLWJhA+~pqWj3O(jh`RpxShpw&J^Vtq
ze$N6nlhW`~vEC9s(nU<Tt=FMsiIc>vg#}Fbvw`c`Aqyx<dEvD}7eF6+v<F8Q7qFq3
ze9kXYYreVCsq#LS7wr`~^XYf`0_J@2+w#1fIrzWbPZ%@dLe9T7c6<Ju$0U5dR%OMR
z0X3v9nwYYJqj0Hh&$#9>6V;P3E)Awo@@h$qylo!$mEvM_2+d*p<N{n@ikU*fR9*P{
z;wjwr=9<BX&SI$>&k~ROnZScEiez}w7=FCM)1^Ru2GdJ>NfE0uhRs&HA9s8j!tJP?
z1-p!=v5!XdRD(5tw9uQdQP}?r&uth!PYs^JniK_Gk`EifSpm7eE2qBUnFMz+w`Y^s
z+8+*m{$dF6fyZ83Mt;C8f10!%qfKIbqM?VHScZ^yD5leaUWcERW-d;@oWLBP#jl!|
zGeMh6DO5%-evJc4s&}29zzELTH^<bNVCqSlmbv%@GqUhvCVNj{5V_!sG7X^j`C-e1
z#J3naxRGCa&jdDqV&nBVNdtK2Y++B$_=xqrEzq}4pTMXPEv$T*0b3TX>MKlq!K$+V
z+3ol}fiZV1MTAN*Aadf^g>{o%*ih_?@MOP9OdyJL!t;hcbUlnqaq8&7HZJ#_^5>bt
z+=h!#tA;*g9ud97Qu&2>WUkv4)iQ;dZn5L4s-Q!`EXK0*=*L(D{NKx$(^x8TL-q=b
z4n0|>-;SmaVD=7aCegh!*y-ONf*2)wfF-=R7}q?66(uP;yHe+{&8wkTXF6!G?q88@
zg3JhZAY<8hXW=|H>5yG*vW^D#_5>;0NBqNzLmx!UIWA&y@}Ktn+en4ViC@xX$Hp+u
zhgdpBUB(7gurrbgx^Q+d;zH)@aV*1)p<2XR#k^_h^zv36@NM}dqoFg26&dWEz1hG4
z?8BF}Ta|R+_VM2#vc*%F@Pn)5EuviDafG0l629hlsTozCHZxf5tfFVs32vzMXWkKQ
zAp>GsxU6!_VRGEAxpG8aczc2SM6x~^enbY#S^t{H;`q+r4}HN0%PC5<EjP4*T1TXp
zj4on(E-<*||06))g{$GkLfQ~n)^dwaX9fGq1IOf_5kW33nIIoef-0{2C6*2x5Ea)g
z`GI#GTvV|QWD-b_btccY;Wj6@AK!g?<$?&9F)IB^FKa<&tDTa9G&kUE3Dp2iF?bw$
ztlFQf1!1?tih}R)K&X^TvRjcjsM(jyhP=}Rx}@Z+W-uRYOXd8%X`3WiZ79u=I<5(=
z<O4BtI|#5@yzlr16=`_h(a<zzpb5u4_Y1ZJ5`jNU+WeTjEQAkFUi!7F0qYJ_bhMTW
zf#6`^r0@ngz+S#=XZ+9rp2i<e?s_87az2ZbnyUawrG>ngKWKo|;gO!>Q=%YWgvH}}
z${?DQJ7Mx&1N`a#)yN$Z2g$sx>nV#W;OOV`@DGnBd}vNaJtC6O@W;gV?+G<XqZ#^1
zJ7_|;^(|H2Pg1}%cph6UqXAid?UatEnxH84`QnvlGO#}?Aj{x`CR7BB9~RxI1?xWS
zdS&0d9$KUd3d0LYka_a@PJd+*`1`xp1_>yD%HYO*Qdh~aaz>?6Uqc%-+BSPc9aMs*
z#L>6pOdY8HeOUi=5E<f%xv6odRiL0isH~=x3d&suC65;<FyGqHTl7^G+^^z9uQz(Y
zvoFZh?Yl16#+!By+p2@K&eo0J{?TE<Kv}|HP7eh3R&I@YsR7~=7xb=<=>st~!*z2P
z9h4f~M8RGQOdls(eCTGtlFgi-zBdD|Cdkd*>L9^RnJ1~AD-59C#csQo1QWiG=t+76
zkm1eor`c!RnZVjmo%w!#O=ldB@<jDhpc*ALer{w!xA@S;%|a$1DxEhPxLp@a{P3}{
zMJ8-hilX<h%%IfQ(A6lL3NhKe^X6Sla2^YOdn(xi6j*IhYENjeS!45#i2x?_c5_fQ
ze^|lG^1WQ%H}v4gXs`L*Gz0K56nXU}6+nsFqaMA+HTzQxBXa#2KuemutCYh6k-h50
zVrzPUmLsFXdg<`-oQ;!wDjPmAMeY8W(ZTZMbHxE;8hm_We#mZ@H3VEdV;9X&hm-eM
zlTNl2C{4KQbb8tv=8kdMv~Jadqa0-@M?nkJTP5G$_pyPl(lFUVGa4+ldY|qeR0R~&
zkhS5O4UA?Ko0Wdkg-hI3bVjK>?50YM4&>NCr-OIMn57Ps4;K7Z6qSS&_X8Y1qHG{!
zzV^$uP%`weoQ3QHi16sH>_Kfq8%VSbsC7S0f|R!dR$OnFup8GUgD-xxhTFMzMK+O|
zu=m3Fpz}}<W*wcI^2oy)q<$TjP(GjzeCH<O-^BFb2lEw|bH1=)wSQaL#yzTV!9?by
z+|_A(cFV^s@)kC9ZH;7Fv@1cQaq72|J*)W9!hG4K=PVF*nQ!b7ln4Fiisz5K=0?@o
zjRz9wEZEnh6t8wv2J$kEj<=uVLr!A1jF^Q0F@nYe;tG<0r_0U~ya*^&AR_3D3as5F
zSJQn?G01;xcho#a0GY?`_BjU_n3OLMb#4;^&Q+e_0YxIh8IR10?XBR}-wV7al=&fu
zT(k4QP9mB~JE0o6+Y+?9-jxambAkEgM^Pp=L}Yo1NxKwl0n`6_&3)aMuy-}D9WXv3
zD&k#NzO}*}OnHCBf3KOs#B*#a3(5pg%xA}q^8;qEKGpZX%nyGs<2wK8KnDSo{6U)7
zLNbHBoeO_bOuMmO?bkn~MhVEY{jrx!m?^Mlmw7B2UtsBrT7F(P3Fy)GiZ5hj0xqgM
zq9QiD!WkM(sf9iSq!B#DcUZ;*&Yo$B*mCz9o-6QQ>v?km((Y@&8Wv#;(z|ceZmsFZ
zJ7M$}&5(dRJcmC%{b~ee<hJ3yz7hPA$xoYVM*{kj(d0dEZ3O=V0096043}p-)qNO;
zZO6<eWUu3#<4hyu+*Y>2gM=t;DV4I)FtQ>mM53YWQnE__U#0Ab5)xU_va&}W@9#JF
z=N{Mh691(z=vzI5%^e+i9hiVaCj=rceSfMAe*Wva^L2CB75?)kjA<O2YOp+Ei`Rx_
zd7bKgNsCxp&2Z?RU>;<;kX_Gyp8?~Hw7kCtD_BRYkGHfYFWS)O-8HMsfH@0UE&kRu
z?BX>2W)?didd(sy$XiH<j{}}0Wt$Dm6*uj%&c%;<E2kb?(&^C2<N4|Q5DU^2cyK37
zTL2k5aCld}rU8GweZzJ+Hgs)dAuKdW5V@`Qj2?HTLCTX8(qi81h!S2$e8Vq<((OLu
zBWI|P6&NJXTFims9C}NsKZMZumr5aOG8Im_tgtq*aiQSP!o-*XVKgtzcDq!E3U|Ic
z@$va`qv#sHyF-6OkoUS`u=y|rDi@NT>>S4-QSmI^vr=McYVJOAPNRU%Npt;?5MD(0
z*0zuK5=Vk`5!x<03jE!J&(y~AqjZkK>7aTEbO4m@RSQtSI^E7Sa$W$%*M8wDw3I?0
zo}EneDIr5)#anTnku4}HEOh$JpRK6bt;+AWJsFgx+tUJ9giz9(C}r6S8I)+^VgHJQ
z42>o^r_?1y(9p+Qx>(LOl;&V@q`zGYV$Z#B6tNOTTh%g+sKxR~iKkF1;)xb4T6UD)
zNftxTTiVF}lM0BiC?99@NDGckIUHA*6-Odv<GY==DxqlumL`QJEw~+a;7zHoBytOQ
z`uCHwG8)S-b2nor!w6%S8gWAk$=ePQS?{T!b6@$!Z1$63W1q=&La8)5>t+>YwxNnj
zgyVU)j+5a|xYPLibF%2-xLCE>QFX+Izy9c;Ed}l#xGPq&M-GKw3L1XWr-4)*Ha^<b
zQ9yj;!#*cX1>{Lh!7DgwB8?IDCLc>GNW~{Bj?fj+LxJl$U5y0944C-u?i3YLEo-DB
zEtJsdz?j?jbxG)Ku(TppK?5Ukwk9bbWyG^`(fG#=Ej0Zu&3rkN4t_`S=pQ0f5MET|
z-q~I<dUVa;^S~_z^nYLtmwKRz)ZVZja1W)Rh4!@|UZf4Ft5wfp->M;tv9Kp`(-icO
zAhY``i!Kz`UW=dV-|S~wW9U<JD!LT@I^EDi51J#JyPdvkpjn}3LGA%m<YjHJ?$Nd#
z(k7RkmA>H7BaUAQIp?Y9=BU!%0y_if(3Y>?U!jR|)z;Z+EU4(Ho=|J^M?<(%b3BvX
zmw*an@}E8!rJ!{x&SG|t5y*8VCR!{JkWq>0My@Rd^(;ztnzu8d@)lt$(S?YpgS9~$
zY-E%d;%{Y{4p88Amv`tA5xshv?%KA6gx-xY+HiDZc$s%zjC_WOI=jyDXuQ`%_FlLU
zLX9!JdY`QOjzC1+VI+%z-5RLetY3gl)dYGy;oOl@0+N~D!<tj7iUentn6v;B*yYyz
zb$D45y^iGdBdjVR>*i~xd-F}e&zB|fhqxv(<g5Ccxk~{xaY`Crtu=wyMy@S2+;}7_
zbI>2cWKhIDi4eXD6DaODR`9r69W~y5zWVdA1oG)ENYlAt0_KlI+}h*R(1uf0EY(p2
z9r_UeByhh8aB`{Hm=INwwDafa=im6zli_MwtgH$2KRi@4|5_PM`(GZ@P~}4A-*!=z
znvJ0>BSenrqJ%00dhc?bVL^GP@_*O*83QZkus`p&0xIBQ1V;rgVg<OS%ZGT4LG<Wp
zrn#g%nye>W;Ax%0Is#MQ*4zd7DfqqT`YBnITJJnZSs1}y37+oi&;z(9d{JoIkF6*y
z$*G!6q8oD$KNy{HiwP85K@eN4B)T`Zqt-j-HI~rY_V{(95yaE)ozHU=N3c5Z)TcZO
zd#b(T^Vh{4ka4BL{Huj1D)=nWFMYS1*|gd|ElSt{2cPVf^*JVtV#;%O8K&1VAJQiO
zDfk$|t@Z)lTE8tQy=pAU$G?_oW5jy@WS#+ZiqCB9+sBVQ&Ycf>uKJXDCgemtVMHIk
zo-5t&a)$>^ShM_!KXQ{vFvIJ55%i(K_f_p_8aI+NZX`Ep=VQ*b2iNC=wgb6PaqBui
zCyK~+oRz-+5<AbVFKcVjgU_)Y^fdxI>OXdk`&2+P=2F@5>AA8VWX)VlaF1g}aw+dQ
z7b#uX&0Vklq+Hg8-fMeiB$Qc@lZso}<jGzv$J6wd>aY&59f=Al9bU(XSNPxa4h~{6
z?XMqLTIxU!A>b45&?;uS{-t_p`v_L$+t2;+i8d6z5Z_y;w}QC_7M*uV{f>1nCY`>g
zs0}>cymhlfOIW9rN>KgE53D>nJ0Lxc0o;b|d0C$pF_w_O$=6T+!H7EQ=aTpsu*fIg
z>npH`$#z<O@(G*9K1Mx{3A##$=@q4k(TD|X*o3<*&~6s%y)V3bJ0~5+9Ut;qF%~fY
z#IvUc2y@u<eU@GnO@r@t&wge}FJMcr<+$c$7BD+D^CT8Q8ax=~7`Q=S!0xS2J&jRZ
z!Y0H-EdOLsA&#~F(1QyL7;aTuy#-dVk)cYLOR7}h9cH~W{C5G%wt8)0b8!uO`|xx7
zlS&E{eDI*MWiDc6T4-@*;2##tf1@wjh5~<7kCpB@x`YiSAK_uGU_n|cG4@=In}2xh
zBIEtRWlY-fbacWNHq`fNa*HPm8HW6hPW2_MV0xF%cF9GtBU9_&UUbj`>3xe0;iIb<
zE)vi3Ly{9&oJ%mOj3z;F{iK!S@pbH#oUW&93m00`wY#G9nFysLTdsI0ZeU7oR5hV{
zIP}9@GonF@2-cUXzsg=^LDBI!tV?%!k!ab{Uf$~j`0VyJf<1#3iJfwpV6^k2VDH|N
zV@sN#EL5?T{+10{X_FVo#4U)+BvdQhR}&l^4*Yv5!hw_||Glyv6ha1Gic6wD@UT38
zm3{pRCkohJ=~ZYhf&>V2b+|Kl82&-$j1uQYJ-U1Y4K1Q5;l92=C^sI$lYhM;ci_-5
zy2>8M0C6;ZyZ*t;A`Q5)N8y6lGhS5pHeoM^i6r{+q>$&hrv`KumbOGT@S}#yvrE~!
zTalMvtoD9I4JaF6eBtEVf}Za-vuSXZLD{Ll(ubDRfj~*%zxPTAUD>%*#hbqk<(G#}
zC4N^2@55Ch+|nZGQPw}fb|D3nDpA{e`Hwn$40-?ZMv^F+Gg`OLJ)($YR~SaSg*D)=
zr%F6tT^tn)j_nBktb|yPDi<ibXn^IC-nR>b5-8%Nwaz|o6=Y66(^HK!KvNaww>+0Z
z!Wa67b6C|-Z~pN1V=j1TX)5ODelCrQL?&CZYc{#$EB8xvn<j)4*lIThWl`YJJYQTC
z9tn)_E+3X503DO!>&MHZhE=M#^nL=$<>RN|_7GugFz(E&76sHONAXwNNkWCYmRk7x
zNT7xb8MPKwLaTSA9o&gz)Mj6oX;MH2y%fIg#AC|H&0S{kY$OGls-+j~8>PTNZSsMe
zEh^}rcT~Od5h^Ous|yuTpuwR!TS+HvHN?5xVkM(PLszpe==sLbAu!2*)%}h-($@GB
zy)aHgBi^1vld{^-Q5m#t4u?m53%k-i&d`y+z`N4PJ{?%i%&b`P(L@4%tB+%v=}0`W
z?G{^|9wZC!*9a66kSHIkpV)UgGVX~z{h(GK^n-jyI@^foxAO1NwdZtnwBqP>$wotv
z+VLXbR09c#cMci1n$uCHM0HGRw-N05SCT}E*FrAaU)H|7OhXQzvxw2h0S;ZWt2f(1
zM)t)lPl``c(Xz<>s`5R?Fst%ezubn5S`}`Y1W8a(1D<o`FVO_J?mwMe(<h_)zn4W@
zxk<?T>R(#w;3iKqJUG7eX`$UBg4etf@TgIjOXvA<Q`puxS{zK&LZf*hPh^Kx5xZON
zs!)q5T+)s>7Q!H*<1OBdHi8lo4X#z4+Asyp_O=g6D+Hua#_Rn_W*b_OeS6-N&kPP^
zUlr<!(L{@ydtFI(5~#D88!tU$3M$N0kJX<V=s%-S5%aA=$fUjf?OdfP{9*q7>p)UR
z23hAWY8!B(^O{ywLO!N&(@R~S-$NC79c{<G%v;3NuI2ozTQvc7-f^?&aAoxG2=3Wz
z_8{hWSf%94RTKE2ajg17ks^A+`c_^2Y!}mUJpXGrj|rq1zYlp=E06rOvzveS{9#rI
z(HH~K#t_#zS;cB1iylhXxopW=U=A=i7F0Nm;o8C@_t<$URQiTZTFGdQ*{K2HWf1^3
zRwplA=od#!mb%|gQY?`AtY@bvCjk9{*mcuY5j3rJqeA%rE4Vs+G0zucf`i^x=9-fb
zvMpB{Zct<cSO}|_Qa6GZwKK`@+xXCIXhK>~ARBx$R1P?2wgX;=XYuA8;zo~pM=}*I
zvq9C#*h$85LkM?&^t|&pJ38Y(*Z0wZ4PIs)RvpVUfNq*lcVO8D=2XQ0WNm{L-pSx@
zigoD2Kkfu4TZ?6^rSPiB%uQA>MqYf(E&5QeZu}`U=`S|86umf1U<Jzr4A<|x9duTn
zez^7bHzqr${dh0N0$P3j8%OTxLDT0HxAn0RO!ZG$|6_L+co;o*>e!+#49xH4^n3gn
zGn<_53FKmdLt>SO&pPM=U%_Q%@3PmJzuwg=<<T3=21m3*ty~8pe{~#~Z!c!b#Va!2
zkv5oef8s635;|ZXyxp|mZyWPOs7+oT`v#Npy<yzqvNn7ZDSKh;-phP;Ao*$#{{~a{
zor*7GiUGl~&Wq0u4>4!Gyb=nmH<&?F!yjKCV8Bm}DW0LaF=qIcBD9KaFu%GwziH~D
zgL7usVabLc%$R6K%z_RJbmxd%RClF=b)0NdN!lOg?cFn1{}izRaY|12)n^*aYYNW3
z$ew0SC&d5FG-L%nuN&dv9yDm=UC@p2nq|IGSS@?^n-zj$iJYEeRIr}lj_Q-0WBOcr
zCVTt^8*Ir;+GBZ!3Z;ozt$}^>%wL+1^&Xb6!|5~bDkkhyIAc|Er||Y7v!(q?;+K~k
zK;q)|wa=u0)DfS1ey5h1AqQ>*=g)D%i*6IXASwmAcaF(MIj%C*cp_JS?BWLb_|KDf
zbI4%(>O@J5-8z$#y0W*o69>%xdfQ*$w19J{ykq6i1~cpC_Peu}cp*zeB1(j$1w}^;
z@=7{bKycrGi=2D;A^mcmeo#0GwszVCrn9lZXtrO0_CZ0=A})WuF+>DJ%(lK}!ww5p
zTR*Jq7J{eSlzZ50h;Y72tockC2biU}oQ#YYh9ZsFfMARO8_MA)EVQ`5C(oY$<%kI2
zuV?4>GYRlj@Jxludv5q(*B15OT?{7j8xxJ%G$E@8|IaL$2g=@O9$lChhYc<-pNXTI
zpts-X9D67qES<U{bhSbf4i=Ah9uU(6z6bjr_azFzxiN(&?Kii=?WlpyOCRuXyY#5F
zcgGfR+vrypE0BSFopH*cyLkA~qP6?BqA<Lb%n>;@v<-F@9Q&3Li-*=u*3QIpA}~`>
zWY?ms06R*arE|yOA<cZa=EImMnEYJ!pZ8M)GcR*q>4$jW<rhd%3J?dsoOdCY+m)bZ
zGOM{_6c15x=V!!~Bq8|Bi4;Ri6`*}cQ8Tm91VaC9D(j3CxQPCC-u+n>eiOFNzUb0~
z6k0U-%aAmz8Br?OL)GC`{}?5GGoRQGC2@<-%Yt`ZN5d5g9*Am9sPZxqy!~9Kj%mt6
z27%U<@>dgV<091^OG!}QJvZ!#6oA#@f~CVtBDmXTbd<@EA!91rr+h^bvOd4?7>v<^
zJd60&@uL*bqWTDXn<#^J(iz@V6$<P<TM-g=oC<~blgV*uDqx|O;qSam0l(J+GYM%l
zsBq#=cKV|VWg14ec0Q*<r1;a&f8%uUIF#J^%t9S16o@y!?We&_;re~FgW3@B;ML93
zIT|qIdottw2n`tDcOOpS(uI^;OG<*{c(@W(5OP?T4ik^8i)EYjpz0il&*CQk^NQnH
z-JIw!@RYG2{7@hC(vKX(Xhbl4;oOx%rbBA%ctKx^A+TvDBu6WfU^{MipusyD95{Vg
zZO3IJ$h0FhCJm6_`*cy-V=)@Y`5)C;BLgJ3eogw}tp)bSmdtj`QsK6hZQrnvF<dBY
zPsiWUf{RnRIrVSJpeV)~)!k<dGXwN8r7SJztMHDT8zn-^34R9J<jBuQZM`R~w4kGU
zDK4fQ4>+j2F27}yQ@QOAo;@OgYTK>C92+&bgl|zu@;8O+e~$~*cMyRz^1OlblM=Yq
zmb38`nL^4nQ6BPB0w~$bWE=F$L55<hOxp`n;3RrDcY0~U%Io(+YKNsjuPZD~w8RwN
zUo{+*9MS;kFFQ9@&Wb>hT1U;r3#MQ;e=LS#q7HEp3a|fI@PcdkuCR-AQ<$+FHFil<
z1vyTExD9?*c+30YU~RVv;O<vw5jvDXWuQL#+r?RCoJIP!3||wN_m46&7FL42Jvp_K
zx!ug7>q5_l7L1`3uH0>NQvi?o%4vz<PE6HaQ|ZnHW7yBOr4hG(8yJ1?DeNTwz(ymd
zTyQL#d1LKsAVFIiI;no^S5s!O{5`q<E^YF0+sVg5(Ylh*TKZOW*VhFsv^nMZOB}%E
z2anDQ_=$mpO~M}U`eiI?XQF<GA`|K_ir9qo2!qbaJI)metC(JKh>6>FBM|lV#~+;+
z1lo=gW^mvdX7kzK?fsq|KulYacYeSN5v}QVfmLgm=bawM6PFD^aP}atJK};~2QwBz
z=o<FAI@wMBu>qvrRy}yeh#l%r<D7O)tYS}_50>8<*N3H4TH#4)78oUuwcOvfid_=w
zl1)+5hmcuHX;;<?voG|9SSNi2^SEf~8*ySgJere!p`AC+jOL8cv@lx6B*cv?xoY%)
zO?*!}O=pG~XSd=YZo7mzr^FVQ^XWmZENi66t)EQ6rb+vXql?%BrYTP8pe}&@zoCq$
zBg|RXzO?dN3)tC*U78!ObYS}O7rqp&FH9ewi<sr)JoX>)+OZWC9njV{cF%I}VE&YU
zN&mio9^*VgE_r`V8v>+qy2@5+nf8~va&N56VcO@9<S~~SkSFiIk6@OAH81}-zpr)<
zW3;K(OC4u`$-s*r4t#I0gWZ95lkU!8vOJf4iGy@l9cr4559z=r<SH`RE9S5?*Rws2
zd+3|q`g6YYV>fnf^~IRg)ExF}`$PX@pJ;Gvb(z-sq#v7CZsz{--#q3UnkM1sLIWuQ
zZND>8L)gcmC0p&Wd5rC`_ruvfDvbTYaK;rQ*t+<j)^gqgcC_sBErt&jS~8BOM(BOV
z)MSnXZp18N$L4g}Ii@I(Hg3eR@n`~jl2KvndwU7v4e4=rx=4Y11(%j`m0#G1Wt3#i
z@G>@EDR)m)m;y~7y=Iqk|6ndd^+GMKtJq-VN=J}A878g@FSv<MV?E~|$<J-9Ve)Ga
zrIW5`fku-{;M2o1n0MLvWY$fey?p3N*Rkg$Sg14{CpFGujPZQlyCE!yH18G9w?+iq
z>VxucJLa&gU&*Si_gT@|gBjl=O^I+9cj@hD%RJ`HiN#k<u_4JX?5Z=#1W@gaoH=lQ
z)Auz$PW<%bKrB0WSc1nl@0=r`;EwS!HuK=DB6F4#Mcx{o`Oi!f9(xuuL};s69pR(O
z$Rlo){QS^DdjTFkvPF1!+OA_Vwi1WDvUpIhmT{l8I39l9dgFKM#s-E4<H|Fi@u7eW
zkxi-BfM}EY7GoY(6w{(3*vTn~L=RgDTH!QcCF?FN;~*O{yHXq0Z6SnS2<hf2C8>kt
zDUH~tgX}29Hlb3qL>M{7U2CsUQis)NukJU5aU$D_AYB`pD3UeM;g)`-2ED?wdksyv
zQN!&5A^WdlC}cv^vfzXoP|u@xPboY|mPfmQ@390L%U^rAs-_0QKazuSc6{it&MZBu
zR0_SduX13URfXKfqEA-Y0w`dYV8HVpX;kmW!Nc333d56L)_q%q(Cd)V(KN<3wA^GX
z(f&pi*!S~GJDn0nZ!PAvYv0HtepPFmYn%0Y*HS*3O^P6+5nmeJOc8B(=S1<Xs6rjP
z(4()3Vn{{&Mz!c`B{UBa_n(=m!9H^vPO6gxO54w-@y=ZZwRQ?w<vmk_vL>fS*&R|S
z<ZOcbfRGxpm8ls@cT|V=PZwO(?4{9wMd8rupgLOp$$nf$Ndq#irX}p6WzoCv!2Zy8
zc+`Hb;Ex*t4<d>Uln)bfXv7fLx(yLf+Cvvd+<8s-P~us<P_2N@2skz5ydxozLy>zm
zd5PfsyfoKXNC~MX@o-vyAft-v!JCh#NN~pMt>nHSWyBIAP2KgAg8uw>_~@Jj1sI=q
zKH5F0f|Lptj;wy8BG-fKBkqT&(EM)jU9X=S3ObSJQT>L7JhS!RwvN)^s#3|<oipl)
zW@RoR5JN|`l5;$|HyFTS<H_oH8jmUho60Pe7^rSPEnYN02O3WwwU8duL_HoeveH)>
z$U34q1Pj%JivHFjV-q5hPfA-2ddNU_2kLjP-qi<r$@aenVI)KoJz~%o%0S$n_|l4g
zL-3V2W7i$4g-X8<zfE7Iqt3wI6f-F%xIg}ZUvwuUrKqq82W2{9tjiTC+ySVMRtb-r
zAfsv}-QcbBR8)1YaQFOOV+iwCtpQOA$}X}JnhT<!Elw{F#6+9Gks*beZ`>4gqqgX{
zc`yn2jI7K`?lgr-138l~cgV<5aj=IwACJx!ep)B>m_l{8pvI8_EmX2MGASrm6?ym0
znA+-_f!`&9#ouNU;$@zn`J1YUtnRm**F0ecEK-ewQT{}vDB*e!=PZL%&VFhQ^EZRJ
z1C*(zK222FS=d*L6GQmiwN_7CGbq7XHt<T~QP23y+dtoVkymO?*-0)lkpH3Wt4>!(
zL`(aJ>dpT!DG_G@mItO_bDUM-j-e{j46>U%6aO6x44gh{K{ExBlhPbtnaXG_BiV(A
z*2PrsUOD}~e3RD^kGI^jP(-yyxw_@^XPDwX*Ii{bP2e!T{_2w&Ig}Rtsj)C~mFfBL
zmU&vPF}!E~TO8q+LHA>RB=bkHf|RV0_yuueAPv2DWlfbt?Gtyms!}-MXVGs@*+hW-
zO|;wXj$-J3nY@9`1}DV$4u1U23t(BTN5bzGMxxQKY_ba65NI8jdUY!ku;bI0)};hc
z>kg;z=~`}(p8II^Z_{Uws^LY81#xKOWp!S_EH_m4StofI?|{dasN!50JK|>8U3)Xa
z4K+ss3;sJ~2$o+O4f0?9!{$f&&UQWE2Jx=+ot~)%pf?(y7UZ^w6^{~Kcs6|}<2KKa
z_GW#^lr3Eft)0fYFT8H<`^5#$BX2qX@#@2J9K$m%cMQ|{7@X%9%LTHDCxVQewu9CA
z!S@cb-PrBQXmcW!3yhszHup*oG;+J!Qkx4gtFb+ItbcMss_3VhjAdQWycdR<dABg-
zPg^f<ujPbW!WwR+F1n!5ILoRv($D;|Q;*D_&j}~ZOvO5CbRfj$V|320G3J&HndF92
zP8iph+$d7gfj5OOq(5H&#kBop)LYWc3Cg)&N0*YcVLc%G>(2+%%w%yNnbV3~&?LL}
zWjKd6*!?-gm+A1Ad5G+0?{}RG9B@%P<-!;sJUg|uu4|s@dxWx4ugDGV=8DZFD|ASA
zuaY*<TVnb|?7be<%MG$g|3Es74%Oc6JGaHIFpZCsC|DH^iYGOzJUHl(X)y5hQTrNm
z*~T(AvyKPsofEkOl4!7W!VsS+w!!Sn?hW3zIdHXB!uT;o8eD4b^j>(x0*$1Ojzn{Q
z*yC8lbgZI6LTKyL2mP!tK4TF!)GPo7MU);JM=H$!te9C7Wrv;aHgR?rw}6&oitUwI
z3hZ8gSa;Tq185mqQ=H{O5HLCAq`B$2FK_ADAAigVZk;j7HZO$X9bt7(f++>uP8t$P
zvfL0|gY*1vSOiLi;@jAMlA+B*s%SkI2N`Sgq?;;Y@YCO@@0%MLw3IyiB$>QWljk>F
z7%2{eA1>BC{j3Fec2!il#s`z*!Of~1lCUK--?8|h76gu{9+2o4fE!(yV)=b3cz&D8
zO=i>D%xO7}XTNO$MdRK5-;YQ`YG$C|SUCwq$n41xT*7eSF@4;8mn^hhGUli~M*=>x
z<e1Ae5jga>xJ$}I4nig-swZ}l!0_A|sk(EbaKh%>zG4dn_(LwQW;G=N&pEEu@(*HA
zh4Bc#3{ZqckL-yV2NLvEHw#u<NWi{8H+9l8B@hyfv*Nx?f(FE5ztkfM?mP^clQ<Qy
zzxOL`wu1y+uT<q+uWp599o1nkKULV8nELmPr54ol8QAXKEd$S;RbMI&tAUPtbKJLI
zS`dG`NSQ}>8@Nxpm5=&pz-;rPz~oCZbh$=bzS}Mj!>2RXt0(bL<=%X0j}HaRCgv-W
zixr?r@8pTSVFb|n{(AX0I~6G36B=CKDZ;WM=lBMW1Y`bH;$Cm4uuh-&=KX8aBee45
zwPUs5KaW1E3-@SXwr}R9qLd1_+ealf{3XM!JL<oK^66mzhtX?fr3$+YztE4}rhu-Z
zL}@`21KbN^QbR)2;C}!B0RR6Cmv=nXZxqMLUfFwdt!vzS?fpG2GC~<qR7R1A6m7{*
z8D%6Xk<ze2Qg+GrQ3#cgGDCLuj;x=5pMRdud7X1UpYu*D3p{>BnF4!UC?C~0wc+eu
zhZA|(3Si^RnmU?Ffk~NjS_Q#6;5Mc%`u>w5Y?Qi)*bY)aU%BnX%7QM4X%a~7Kb7D-
zS5tWACIudOnWYa!=|gxz&DgmwL};DPwQn7v!1(O6r;&mocyfnpbU#rBld01YPWLHr
z`C8@0@kS$P?6CK+w^4zYwC8zN*eT%dLaS(d3<IZQ;cWOP75Jwie9+#S47(d@$HIdF
z1U?kw5*(^v<(Lz&H&YFc-dxgiCYXSn)%gfIAytsj{2`g+tOEX-nJeMdCh#NN_$uwF
z3f#Rp(6U&q1pO~c)ZC4z@PjXdY2myIOddQGeSS$EDu$9m${$fdJ$Gq>@vAb(%TyLd
zauMLxpZk8xzo;<WAVc$FiU@S{4{|+Kq+wb4`cus<Dh%nXq{#Ow!QY|cY_DoDa8hb;
z6QMDM%`5tzM$Z-D6~p7h9Tx?mo%}*2W|RuqD4LLHtpK||=H4yK;(=dg(RX!9sSu;L
zFHX2e4rGe8Sp;9RgGYIv^Zp<zJbCj{BmW2ixCAVW;<XuIJ7T1pS&RxQ*~|skyJaAZ
zvAl5Y{U&xe`C6Q7l?folJOSE6(hz#nYWg88Vpl4T=QcZ;KpFqT1B2C)@I~iRyZ6Hp
z?BlD(Qm=7<yomn3zawJ6Iq|UD<Wmb);hOY0{1SkN`+AxsNd(AGo;xWfzrazmKE}uj
z(Ea;u%IhbBKsRK-R{N|KUwb;Ao~@0+<V<g`xG_IORf$h>1@_=qt4~^2A2tSSPoAL$
z7G4k<yV#*uGJqdFMR=MTZ3MgJZeWr0+%Vv~^+Z~65Fh*S<l|<!A@rHXDAOO_4c$Ib
z4`;jwag3*z&3?uJ=wppS1zFjk?E_cv>yqDiR91;fIne;LYgHv<IhnzYuE1qv-vGW^
z7-y{zpbwlM&b})@!2pz$;%ikcz4+9#%BP{FdQf%l3G-nNI*8AB+3~}=6PG(5njAr=
z2Z~l_-u?bZ1C_L0L0mT9anBEnESt`{!0%$DrF38mOQ=3AY{dKpmrq$-efdfUF8D{3
zrm3!D?L<{EQ`H*$yEUQrAcqbdcQ%-n4OztomM;H2`X?8EUagQ<ds-U^+tq=t5-XVB
zu+X26<<BsDq@bzlrxvs^8GpShvxJ>1J$z<+sv1j|Ja~+oss#-iRNuG@3)s&m1>qw6
zP1xOnv&Jc}HDS%-O0ymRJhqp(Z%)Xp4NFsuy`&(g3D=k=x5~$7F(@v!j`8cjKAx2j
z%}Cb(UO_@4S!@PNUF7$qT<^uyFWEfr6V!kf+izz)DyOjRj@2t4ng%fMLG--wzB*)C
z#`j5=O=9v?>tUM%Ls-*jn)e=Ib=aIwa(mA*iFJiK%lVCtU^&H4pBQCOKx6fn=#PR4
z46|VN`hI;JYkWCpmZnI7OzuOi`%)*cbnX2!Z!{(`g*p)zt5Pz^&N20yHcep9&ui+X
zY)oTs|3aUhIT=*g-JTB_Ok%EYk}sB>ox>(Z*gsVkk$~$eo2UQeB<6wZrQ!ePvHAUM
z410g6!CPpO<L;Qkl$VQrjnfu)`jgGi!=(l<1e9l2Hm9)~Hnkx*u#B;n*!gT(szSf0
zl(wYDELON_rOZSAixFNoR@29*K>Ru1b;`9lEGIxDnMzv2>~{TGk=)sT7dZ_H-GF)Q
z_W9H6MK0@@T%v1_y^u1HRmug9URl6+<@X!hE8N7qmb)!8PZGh4&#m4(e-RUZ@#aIF
z7!8~xvqTeXc6_1vr0w6WC5-a#jp6=lv~ZN<KC??w2|lw#KOVfef>rk718TeIz`omS
z?BI1p_!r+NGbp->^(EcEG?_~eNuBIYCuS6&Xgk}*cybL>-J?r#yTAxd-31q}cql-m
zzwVwl6YJO(Z&-fj8D<FagmbH1^6=F2=gT08Eo{rOKi@o^6-?`N!rk2DA<IUtJ=vTF
z!f80}3U07NAkSn!jL5;olgSwKLs}s5$ap*4=LE_{yNQz*<=`kWKRbwr4pNTsz1gG7
z4c)VT61Dtt@KZNtVWE&72Bp&^jyCYXnO8!$&QufNXW56R8^MeqTqja^H;fNzuLtL}
z1rtCgH`vb1n;8l>t83Mc3P6kLT+baH0+dAs9chSS1*f2slmtH^I3OJVwup@Y)y8St
zO}*?u<8{VDAV&nGGpB@77G$9!%<xo`KPO1e?CBB^6o)$P&@tIrS!mO3ThbHb2Hn7(
zwCwkiV3QdVgVPfr(|%*(({mo^G5#7-VJ8juJnA@4@BC}~M_y;ajt>I8Ku51v2KvI1
z+{R)FF!aXCl2J+kqCEWVTA~S%ID6jgF_Rn^Zr7(s3JZaytJti8y*yZ+Y9w_O$-!>s
z^j=y+5xCHkxJO$@5$1g;%sC12Fq6wzGImo8WUfoFN$3zE$U}``B3A)kG`wgurIQ45
zRj~B!o!oP~N~)J-RstFMUl%IBOF>19FPaWggOriIR!~X=M#7OjBz+ms^fDx!vn7Mi
zsj5_Br3%POI+`;V%R-Xl0SbdV1u_P_LR7^_pc`gzQo=wE4mJ(nCU~m@pHpP-%>^?2
zyy~-O_^Uj$s_@sW9MFJLJDOSAICa=2t^}xgE5fS%(aPQ(A9-MvXq@1x2_p)kaqMeK
zpgl~R-26!sju$%p3USj0L+6Kf_%&sS9?0)tRnvk{3eT%EF}e_`+d9=Xtpe_wT2JNo
zYQg@gRRhTmeYj_#cI1(^8r&Q`pKy^^3(h>glwYZ91WA3l2kzUDKqst|t~yK;{%Z3?
z2c}^luxR<%n41iF)#_qZH#OiwONBdW5#a8%`r`y=GT3E0?2Xh>2Temh(Slu6kRC&9
z#2_;G&-p%QN+N@=^MrcB92LydQpL0nlOf;lhXy#Rf>(0Ent!n=D0%<)!CIIMW#P=b
ztre8OJTpBs$IJ}+wn`j4?Mbjw5P8d}g#cfUh?L1ZH3Kqph)|8F8gPhQ(#OK2;CzO_
zUjIfjP`=uzdNf@Hw6~60aaRh#-!J)Qt~F+Gqn5S&-T)CituDT`73GFLzVY1_x6L4M
zGJAW^UqzTJAry~g(ZiMW2|79hGvE{b9-TQW4^n?#<adnCW0UmfXnuY%1(AlFPPI+~
zw8T{8pS6CA%gB|c=Gd5mvCN0cx%V<4!9RCZ>gqgxq|vw1zlI9IyI6JT3#34m`Ox99
z*-gA{(_rrpG8MF6XRDPti^I$F=I8dkp+gba!aLIp6Od{(KXD~e7{Xb9p&ofA#2_wI
z(Zy*30Ytfn1JnFKVzeFUPGCXS*B89<Zvcqb%3tcg#{=#SpLDsT*wDFq!o<l<4E!9u
z$A)M)fqtY(qKcIrU3<+Gmb+yP2UR!TSRG~oDfg#}?=G?<S4O4OVK!s<xvxpY%zz$@
z>!nEk@$5(^Al|}L&Iq`~|7I7Gx3Qw-Nhwwzc2ql;_b=Mo5NKW{CG&NzV4JMY{LUim
zs6J4L@!n+vC=3-#-d{F@y)4_OXZfBD&1t`|C@s;4WP*2Py6tZ)7_U0tc7zT6qY79F
zuj+wcn1}Q?y*li&kp+7a6B~N-QZbXpOb?o|`X~RrtHaq<!wrKzvLeAx&(`r2T?q3}
z6N-`P!?`N&-&1?QilTxqx_(^Hfs8z3ifr{5UdM0W+jol<1q5_DB{=DT*1aqXhSXV{
zbC=78MFuN6Z(cI=wn`iJkNn4+<GF}i_+4Dn>tsbm9obobiP})?d!d1=a0QPLaAE$g
z!-k?B<t#H~XhG`@Z5;|)!z1G~hstp_6zSC}ULm9f#h>pEdS-3l;%{ZZ<P1CNRyY4P
zo1zIHOSg_Lo!rJt4SsSzvE@KE#G0jaF--_~c<s=0c3Sj!iD`4~z;5K;s{f}dTLVIa
z-&;)|-G$iPw^gsja-!Rp6Zu@VH9%UgmZrRj4vD0*Vec<+p^^1FQ?Z}b!CLSe&n-p<
z6w$Z5uh4`WiMgyhU+__f+t!KI*~b|XH}`K}PXZ6x`ys`5ACo#r^c}I`{KkZMq`$wa
zlHx^#-E&u+3n}o9^^RAP6$_%PbfAB)!-sZ_iRAUWQ9#O$mae^n6?Hn6a|iqJqsx!k
zFYf2s;f52BN1d*+qkSwbJX@6l=w)&7n#>n6EO9>@yI`~%N!@AxcU?gUvF+;+AHPio
z1J_H5A2_(s-CF#Ce2Fj`^++(W-r4_LA6?Z09NZ|KQb%0&5Jepsd6S&#WZ0u@BD*2M
zgOZB6D!SCfks*xTm*648-2wV-RWn|cPcAw0pM)fmcoJUw?;i;~+9*ucVSH%Z?BxT=
z2U18e+Oex}V#mJ<9x5d^^P^0ew%o<n(kS+Y5bydj37m!V`}ws6(V4Gx|Ll8Z5S#Sg
zU!$C47&e$oE-w{A4KyKX9s&eJJ9zrbD=jj3btH>2+KHeV_tT*jN9E9+&YG(Nfn;Di
z#M?;P7DfFAOVOsq@`%NJi+1TP8R+%@tPVGbqcYv8ctLJObhqUIGev>|r<>asb@C+9
zje|o?`$Ck^V`My9vcq$G#}C<8we0AYP01eXAfhk-<-N8g?c@WERy5;JY1F6?hSIcD
zQ0`-8hr|JOKxG?17?MFH|28JSMXI8Dfm>a#3N^sNTSEBRvMf5B^u+Bxu7>_ZY*B5}
zG+~#bMEy}#IYiL&j(gupLf1#icj-UZg8OvOzFZTRN7Mts*O`xz(ZQ!rGt3*bL5Rr1
zbegDu8XKqB2i}v>_ugM^tBkt9`MU4vu(Be0;C$O+eT9q))%*EQy6M61MmttoF(uTn
zuvy*4OhNlQyY2`hefUP7boJ7b5+aTe-706uC~dwdcwN;H%4PcvItz)Ya>(_-kt{O0
znYHC}Kivpe-#+bWHd993BX31bmC1-Zj1uX-3xlsk=Q!>cDI>1APz}3XB-BbfE|Nh6
zxWPBq;V`}P&UmEC+esB|e7?PyRtNB*E~nu9Uu8rLc2%8nQAYUq2e@Nv0#DOeZtec6
zj4n3N4CwCYrM|K|Qoh5XT;ciVD*?(#hp=JMwA06u$jR4E0#qnj!wkoJh{*n1)xR!v
z0`hVeJT>n?1$0|B!bgON1_i0x4KJlp+}^M!ULjO?dqtZXuBL>}8zM8q(-P?T-r3v5
zSEyjGpS5vWLJ>v%J>Qa4BaB}2+AhrdQQ?Glc&XpKJeuKDw|jJoA90iv-5fKcf?$fY
zMO~pBTK1Y9sE^=AqNe1rFYHv9@#CZ4I6^>C{x5y|#o3YfK|d3kdK1`;f22-eltl@I
zD~>iqMntf9YTFQO0-tzuBa3(RZO4Tcrzp^(NfvDv1z{7oyM!HbaFs$06*HzUdH><R
zpB+7nR{*r{i3*IAmO$jH?FTwxi}?1g_!D(bJ6zvab??m!QRJ6=;r+EwQ+W31g?8FL
z48r&2jxak4Bj2-p6O1Y&xbc)xdp0));sFL7Z>0rMbB5ln>uLSC_sK!|TYHQlK}YrV
zH6eafC2C)xmeq+f8#T1bhZ%uZSh7%~E-#X=d@elK-i}*8tB?w>Gz6k&h}FNH`iGyL
z?%7WHj$e+=nl@ZBfM!ZMoxwCG%Dg9M=Wx0mzd`OX#ElH#S-s;sq8tYby2+ZEJ@XUi
z5Y2s~6Ri&y_gk0T$zw$qlSEA4yz9oF&-kvD{LlmI;gJ5MOU&qCebP)#TtBWB8yP`T
z(t`s_R|7}m8IetD?3tT)2l40f>KaM^>4E_DZT;>cdNk=fV0E)_1fNl0x{vyF!1foD
z(De{HG+%j2-GT8BUcfXf^$>L6dA#4J7NcEg-1TKTN|?gwHSO7V<!HmgGmhC3eOgrh
zFp_sxat?RG9?5iYYr~-`ZZhcv4f+wHQIpQPfa_mb>Dmg{g1i~2E%9sH`146K$2`U*
zJkvjO#bZemzNF^NuZC~oW4kY(N#<L@l?um($Ne?IK=g#$`qxeTsq^Rheyvr!c8Pf^
za!dnaFP=HR;IWBkRq-~@ocf3F)q3fmd_n`*^75<#v^Mb-U0d;isttTa!y>X}LLI)<
z1YdY(v5B|Wm#c*+ZR1j{0oG^Es>6j?$Qe)G#O3)C+CzJ25Xs>h$L=i(^v@30l#6WP
z0*&?$B(-+xX82=X5KjU2Q<IX9I=1j1^)O+UNrwb84$!zrQ{YK%O?pMsHoiEr`0$f5
z1JXPGB0;i}4D&kq<71a-P(<{mZDlhfN;K{}CUJla{c`LsnM$;XnaOd@Gm#nbEtXKn
zcYMC>wy+h?GA$AhO4|(~tmv%vo{D>#BrsepU)b#3g~EIqOPRyik@>D;)K}4JFj2zF
zeRYryReb!OpYwV*y3=SFQ8BCvYo7|ar+4x+IMa?V<0cnkHZkdRuu%o0BYb-Edl^yY
z(Poas@7zd=6W>S0Rlw<2#J!+mCX`;fJ7jEUeubiB?SqX~VB`1k%XcvrRHT_^v-*w?
zC4E^@rv0o8OxqhuXn_^^b^Ml<b{9YsK?adVKFUxVn5}pJ8#_{vxWV;-AcWL6Z3-*6
zl|g3EL43S(H(HzOOH|_&LHvK0x~#tu;pgNduC5p^l;OQ5lqMyHGEdg*mUv2p!VAJH
zQPte&^dXj+O;-t2l$LO};wBM3m-SX~aq=SZ8x@Dv-KCJk*auIhI3gIVOVZMZ@*!5C
zlhb>1rO~rdo1qi=M7Z_t;7S*x0J?8<A~JQySGXQ-4858p0_m0G`Jo~~)T<NlHRdt_
zm9eBqtJ^EXgpSoa(iLH3yzFVsNhgm^RdHLrA5ez$u4}=kd_++|&^=vvtbh)?G6pAQ
zsKDu9Hm~Zl;)sw?lge$Sgs?Rg_kDL&0jWv-zLOz|ItOMJMYf5krk|$oQ;izzpH54B
zy)1=BG_JAPzg0oqJQZojg~%XAI&m6Tl0oytDUaH-YG{vrKlkq)o{HwEYwkNKi>AA?
z%C$JjNRWB_bk+g|w$vx`B#H^>$gSpA5uIf8Hiy&ETv!8qJC7{irj<u?wN{Nh2^4gc
zMa$m!geK&CeN(HvUjex{9}j=8ppFXlD1He&S`bZq98~{65ou4V=oY7|ql_l<Ws6`P
z@C~AQCeW^g#$_)ruMDXp>nSf2wH-hCs-6CzV~vO$k1z%?FRP=DAm_P@%ldG;M7W%t
zRt0r#r|^_FsH0~e{R3;i8bZ<PY0HxXDhOmuB3WJ4(UQN6mvfde6r~?9?oLoepY;Fq
zOXX0I?;kpeU)lg}pPM@r>DADJL0Nv+Yce7+Y-;zinLyg*7pqx%YG~3iUe1z+geDig
zOs$$spzxSNa05{db=JkzKGRV_FMLKtUiwo()PSQT`-dtLf5)d^FRO$uKItgppQOUP
zCT*OKfhsyOQ<>E=D2KdEvVvmFP2mZulC^VJL9r?}dgNpo#OxkI(z<L4QaA6F?6*`#
zJUz#q9^^})JuCfZyl(AqlWmoI>6Q|z(8{u)To*!GcjC81E&x$LuD_YWt&$#>Lve~I
z=)>@xjt(9)F<Q}FWNiw0AugAi*5y&dl@ss#Zm}Uo^C%V)y(!$gYRi-6B8S2)Uz!D!
z?Lw_>=XAg4QQ`NOdi|ysvZ!h-v9&g21t0TnB4wCT;at|=&+hBe=!~PMYrpz1e%Rae
zAp3U{cur4g6?KwAFg^19?fxh{U+LGsfx{-y)qmH#I7A%vupQ^+r1oKFE8SCMh5-&Y
zGUp2Th@kp!;yMLQ6POq~%RO;_fG|e|v()Q?$OsRwp+20)Lbw0jSQ^D3_SUu?OB)}e
zKFZvJOG_Bj@k>{WHjKeA(A`whi3b^IZ<`Lo3WnPiAN?t03_}d@q8+SUJNnNlR;m2O
z=%TdNh=xYsT9%x2dy);=iKe<0oc@bB$Is<%`4~dHwT{iWJTu~M&~=;D{EI10XJk91
z8o*kS+DW;O^e9??(IN853U*aXxpld1XWkA@Q|`Z|Ma?pog$BMYW3N9}j->MH!$E<-
z`Am*2{G^1qKz{cUR@4-IcF<K1YC-6y2z3qDUd)nA{l180uD0|9=IVl&gh}~J`epoB
zAjA?I7ce$i<${5A9jI+-k4&?e$E%J0v>&UV$5_}H_4;@COU=NSfo**f=V2V+KJ$GJ
z<D~f#C|s-!*DU+3k7$hIY8N8~{ibFy0adck9szBjEw8Rol=_X!t3B_E@t(ondsyhn
zg=qotQ@Vn*a~CfE_iakL;51fr%J5X^geDO8U3xwk){1wKdP~O`rm)Qq;WEN*nh<%Q
zTr*Co4!_?p=OCj#iRGwRn>T;cfXio@uAckx8lTWC@0m}Zz@GBdzYez4fFN#?PiX6H
z46f#!u--F)y*zmK%1Es`47^>7z8hDLv5gU(-m6Yv+tC4*bmr=y8MQy<#q(P1PRg`#
zg~J3!lXkrERRaYSBy(=9efWY!4n!)JmrP){0-S7G_E8{D%SEb6z74CQhN_=(oWvey
z@cP<xlVO9i;j3oJ53FpNUZh`b3QK5`tmg0~!|Vg$>}HWJ%)(I1Jj!Ak`!wYGWP6?j
zqvfoLt0#Lg_dez&*T*y1Xa2j*k|HFqoPRev`l=sW87^N65t+k68}j&FE!AMX+cst_
z^fyLdcl1XQ<2)v)?#G@OstSx84DUFJLs(Op@3VdU3)q&o*;;m)3MhS}z2`bIjD->!
z)Wj_pvF4`Z0x>Jf@Qvk>RCLKG_Qy9S&GP9ICO8nYC}pS&CUGa`4IhnTmwYng{bW}#
zE<e}RW6{JNE{hS8&6>c>>^TNwTmNESPd(YJI+Z{&7&lyLox)-vZA9hO8g{x!@mRB(
z5;&`jus&9r#rF69+i#23u>%4>W7cjdLbpe{uyofPw##Rm{v68|Chg&SuX9QPP6T=<
zk@OZYVJ(-&J_{O%9Q#vp-AMszo01O&R4if>OkYg`3uvLp`242C2YH}LGw_acUB)7c
z@?=u9=-|QQ?|Hpi@?cpPEEgmD7i&Frvu0qF9`wAb+qPfH0a^SxYmwj@Ho|<@hEmH2
zj&;2+`pI(eskcz#jlnu5uW9b^y_FffOLNXmRuCX5`qrbY<V}opCAR7^9~*phcDH$D
zNq|4!-HTcIXh5qy7Pq{^0eiZP8oLH$!Fe~Co*|4D-b|D*jLCDsD~kC5H9{7ogQWhu
z$wmkAZf_MBa=GEZs2bWORaw}TK6pq0(ZdCP`C*NHybv)cRzn$)foALP{1q9DaP9;-
zsZ)|4qLwo>qF=}W$z<1{M<FxJ1>LB=CN2ngzP|4FP#HM$>rBj@IaU~pm#%2uD+~mh
zv&}A^GLT&6&P(IZ0V)zV>jDZz;rsE5*w2S#;5Gx_*gkG9kTYn%H*P5bF4njB15V1o
zz80%h%LHy{@z+>_+fs1JaJQ*YvJCM3YaL=F?da1Ob6*#d0seAb$-{jzKxR*Fkyzn_
zE63M-?|+a5R#rNnL|a+FDsJ3i92J1}<;9X?adOZ(wX8lqCJW~|d*c>pghBbno3Z9|
z3h-u9)h(=q0A~+b%H&##LaghFAf~HI@P%{G+WDOv<n1}7Nv#%#>$e$8QXVTqP+qF0
zHG=|3HFC5rkfq?ux#c|*?W#bl_=x$}Lq*uiSL9Mpm4+5Imh1sGGMp0m=P(>Y1h+Bm
z93KH$SToTqZdav1+?P4;jUOt&$>dL7%_6{!?11blOLbtm#GqLjO9H>``z{lv@({}>
z61d@@0lM|XMzezySgzatFKt2r&M!v1nE*{V*xvdoOI8ECdgv@-l9WI~3dC6$v_N|1
zWbQY4EpT6NThdZjhRaib-`!2rf=1^X^V~;t;Gq9PIHg(z77p*fbfsMjjz(7~o_?<f
zOU7-Oi;@~7O!_voe9(fHS;wEE`i3w`%U5*Rn*`=*nMODFYk`$d;=b$18164Eo@=L&
z;Vgx-;KT(@$Vh4bO8*F8usrUwZY&x0X9U;f>u7+;x2NyhcDS-SM9h$8=N=c4u=Eg3
zrNH$Ly)N-qD$w(@%Ka-NgB_E$4zn`}q*fx*i;GO*Lg~r(GS|uA+23Es!Ke(?T+zwA
zN6bK_>3#0BI2j~@>zmWg$;0n!CIW%2X3*xb)sx6a0+TDU`jl>I=q^}l;Nma`>B)yt
z*=ed^`XBe4&}R{d3b-(;!fOtfn)%n?^(X`Tqtx`&|9F7D)l!6W!VDhYS(v##wlfDc
zVg(d=M(}kaF3_f#0pA(7cE4r?*xyreJU(UtlUJFgkyJ4Q!CqSyuP1U4bf@2#>tzGJ
zy?k2V@`WiB#2R69{<4r%wJNTgyM&*eFuv$7YzkGc*<6y1q`@M(zpvYv7R9IY;X>D`
z&<k3tGsY6|%|7B87Qu+{^p<gtNfQWn43DT$7lF&1ecwJFW<_SV)XK*Xn852gGNH&*
z01ns6cIR_&Ae!j7W|2C8me|8IU)y+~&yTgKv}HH?9{>RV{|uLRJl0<n$L&2HBU|=k
z^E{6|zsJZ*qL9cc6(TY!WTdQ&sI*8${mh0@O6hxzN@Zq~NLF_C2tWVc*Zt$Z&bjBj
z-=C1H?6*$o0_YKX0&ntg0{yLs^6Y+2BwS|mY}*e5{ZQpm4NhiIw4_8usSr?B+?7GO
zU_%H>eW@yYn-)|y^-uE}5|BH8w%K;P0gxEG7OVGdVdmU={hyTx=<xEssBiiDaBIzu
zB<r$-wRM==R522eTaw^TVTT^n`C3*kl}}*Y*=pzO$~e*0wz}`RY<h4>q_HohvIFZ;
z2q^t?m=mdn26olk=z_QYQB#|davVC6m>=(OpvMOkf0FO(!1edSVl+Gb_@$-Xkta9@
zLI#|XGPBy?Az^;=yW<4zC&O~%U=|0`Yy5hD)lwT?4|xh5?wrRLvIeTe?sA|~wZDNP
z&$OVF*1PCBVHqFc)$Nz9;y_Lb>bz3?TJX30@&L=+8lKm1RnM1>6G{GFw=GZ5go@SV
zknqd@aM9QwRMKIb=p;nCCU0v1-`^j5k9F_hp6Xe@>DUSAlOA(fWP}D7QWEH+qp6W&
zZpXS_2myskoYM%{RtG6xSMSd>w1{s};9%nd0j-OWI~@|#q0}Oj?_LBQ8f9m&gCs6=
zF-P`>7N0uc0>Ne}bM$C4{z|f>Ha9x+pEiv`u^L>@upa$(f)P0n5c%n;co4qhX?(~`
z4G6y&#w7-r(0E7>Z~QMF6qxUFXmp$cN1u;T(|WL=_`{Atb_2X<+UZrBTsj3lp0)72
zH_wW=&!zB+FYQ5#I*<2+U=)yV`8C;egB{Ikj-9F?@}nr$d#U6VGTd})t~_YPiM&G3
zlRH8M&|19anV||Ykb-hcty2l8#!@;08x}<TMrWe<E|KA**urSo6)sff6d>`$PZ&{n
z^eC~`WGJ~EJ)@h%jo2L*U#0F5MY)!RY12e9blMC1Q9a^8+B=U#><0FtSWG}jkBtoO
zMg|@tUwDz5(pvGlr#Kp0ay)fziv(FI5_IqB`Ows%gbQ(A5-7VXg0^gv1Tzu)xCb5i
zQSN=2*G-|4DC->Yk|7frra0mStg8i(i%Xg9@+~P8IxzP;RGJKK+-6Cab%fB*Tf#r`
zku*xk$~@j?M~41uEf#s-gpo_-x5L{jGU%n>1jEk^GF%L<z3CM!irx&#;GP<?D8uFx
zr`i}9^4F<tXH~^ew<4L>|DqgPmS^~M!j=N%16TI^iWW!eR||q$-^rsSIR%>OHVQb&
zJb!*5Py!vW9&Oj&P(Uj>SMTxpsew~XpGp2{Ni@7OX$8tk=+qY;qX98>s7-J?*Lgw;
z&CVE@`W;Y4gEfq-wKM7v8!0lUdR!WrvbuL*hg49uEK6Emrv~`RZDxnM%OLIcxC(EI
zDoWE7V@~VRgzXrz?$;wkG%0P@!ZxCcT1jfBQfIZmC%h@R+DsPh-x?CkQ6Zs^0z1WV
zLOK8(U1P4Ya_DSR=t~nT5^Ce-oD^`>g~a1em7SO5P|Il@wmu-C-(sSnxmkKZsnuU2
z704qC)7O1QoFwE$ne4I|(TAH_nU?|#6cD$<r}XouRngE>tEUcfh9L4s?bzmX1ynuM
zBNTK@1v!0hc5rmZfOn|={qZ#g#F)NBQKnW#BW#7Qd;nnh?yRmNpCW2#fKQgLipbZo
zB-W!AAj73(FF%7KdZN;u#&$^_*?S(=Vx<^CJinrq(`N-VsTPgO&d4H`HOY7RDMsKt
zP_<s@tblG&xdflrmq8v6L!X~)HG;vO0{;WG^2mr1>F2p4iTcNVxTF3VL9|U^&>w1f
z#Ech2@_iIXET;X5BranJdiyfZcCQ?YZTEN>tRsrz&X#c&a2kWuXrH%+s4QwrU3p9*
z3ZfPQ=X~S35h$-02XxR8kxuSlwUO5zbo`piIO}&KSZq0TKc`<BjqQ_RI7!WoG8r@e
z31u0<iI1<OC-bFH^q=UhZWa#2c$o}!M~vWZ`m-l510>NucbEM&qfAJ_YuKlP#RwAl
z4B1_^C6Jg`mca0JIwWb7R_pb8w~d2u<BAx>Q8vNi#r!rEBK}Q@*gCdb&`*^-#A;E*
z(x<V=Y4H#L;LEmdM+M;2_*n2xyf9+E{$zB$ZxwI3{_X^Bg28gJ?uE>=f`~LW)$}cW
z3BS9V!C4Sz2y#4$@1I}fN4;g!tC=PX`2C-OZi)>CuxhVJ)XLw3<nM)?VrZGi^Y;w7
zKV&n2NH0B+&`loH7RAk$&NYu0J$fa+epnxdc~!WYL%ESK)kcI`-yALzwI||Njvl;g
zAPX$);X*OP@iw;R^Z3S{N~g~=x?rFd)Wh_e6SWuy%~vr0#Vf=Lw`V~YEbcxpk4|7m
z-w2WNkrE5|k+2h9QFnDfJdj5~`2j1+AUYj%h+f1`qp9xrC2f$u_+;PxMP_vLV%|k=
z{$-peE6SG5K^tbDmB&aXFri#OA#>Nk6+G+=rJtor3!D|zzVh2MqBsUV-eYZR_#v%*
zN#RmjAX<E$f5?#mP0_TrcuZ{I`G%$XhcYxl>paH}YYIJ@{ga^cKw=ArIp4=gw3;CB
z!K3Z;JRLgPQ9AT9Vh7JlVY?|5t^w-eyi81&>5$$R`r5)xDr9loP=aPz9cC)YBX)Xp
z$eo5fR%AtkYE&N{H453?54Rp|Qi;-`poW?)@e*3ZKb5jHu&M?Hjd`vL(sU>`V0fWG
zf*w7{9NHL;R)Y&(qdyD|(jmEv%B9#d22@dR5bDXM1_rqCGW`QOlp{hTscFZAWa!Ju
z=N{~GK_jN*KQ?;gKUm=>OJG5aVs(XNH45A*^R3K!K##PU*%#-hSy5q=9@n=fGQ>+h
z6L@`)0V(@Wh8It=qXe>MW`I8#-aNkKA}Ga(tZSssA7UUNVey@|W87q@k?IZ87GOeC
zVV|~@6nFc4S}lIyJqcE?Z=LzB%8aP)ZC<N9$&Dhvb|vojCqdG4MeA8#7UW`6@wL5@
z2MN*HFmg+iKoJVYy1ufa%X^<$_)G0Uc2#Pk9(Ag~$J2Rnj~zR*I262ku80r0xy#p_
zKcEVuo`(C+?0Sa9?@5aW8v#TeaaHQ`xC&&jSp66|LqIwYZ3)KQLTKSh(YMK)DzIRJ
zu}YuiLJ#WE!Q>TT#Hyt9;{9P2(4h(QO-|rO_=6J*JX@lu$N7Pyhr9{|`P9d1z1`(;
zc6M<Xk2vDJZ1K{9Uj@?NP8A!{?LkN41r3kuN+3o3^%Vng6_|T2SC!|(hqM{Wzv%}{
zq6@#aT0PBGAn(dF?3?6A$1I%bZ&pj8o)c{sNa-q|n6})|5HE;Smaeb43CJK$8OOts
z+bZC7?3>GFOc;?ZL~o8>CZgz^nQiaes<1LP_S2SE6a_FE97|c1MMiIO1!Yx8aLd4d
z?h2h4GVVJ6tT<F2&Hv&)XjepngK0%__6g$1;*ZO)`>F!!Sv#dRVnl}5vii2FcO_7O
zaATtDc_k#)#dvdU*Av415`B5gB~iL=YHIVOGTMIjx|jJI1sI*FNZFlI=<?z6G}y0-
z=5GYF2IFer`p}B&(LZUFr&4cu#EgUpAO9^xcBn%`gMo;gG!eOapPh1QBcbD?M~VK-
znm{qI&-OHzMLk?fj}|a88XN>i*<)J3@6I)o>mi4-mp<$_P9~#_n5UI<4cg$NZ7Xrv
zM;;}znrJ^QAtM^knRE>+UAWTyD1LKy|Fa!>`o}njjJz5u6R-5>L6GomH(Xf}=@r#w
z6}pg7<Gc3b4}1-vr^3tpN}nRSOl>scJ4`~@xyl<|%Z6~>oPH$KSqWA6?HPVVA))*y
z|BMf50sP@`TY8<ZgmS|UF<;G5K?i+k&C5mrPJB72(p;^CGHF6<k6uzj{q!jjk0OoW
zlw$s0!hI#=LSf;?ITetyisQcIEh8AnDRrOFQ$n|1gtou+mqh|RrMHAVjp2lue9!a~
zMKtX;pZwo5X*6spH5&4tF%(iqj<)qEpt{7>G4pW=)J^%hWZ7g4b=T7;r3d8Ee_QOW
z4W4@u?TvT2^<Bm=7h&^k{EZy?(B7zbR!<P!FJu}s|7Z;I<l;2m5Lr~ncS)~4j2Epn
zwX+Il8^h*9yMMy`M09r0NqB-xKrgbrhj-kJ!A{TK&!<Ql1z*va?jB@91r_6})4P1!
zdHV6=hK3Z9cfS~t96*Djlc~Fl-WY+mz4v26jRbnFHUEWKcmt18|4j4JargZ6qW8L;
zIBN3^eqU?<7gx4b<XD{r7^<T@o$41wW4{*2;%Ee4&FPI@z5?K8!}9ecMHnTWasPEi
zx&uFSunJ}K14Os95DT9PpsK+G{m*Zf;=N_B2fjLDP~ZOJ4gVoN^dV*I?01(cOmjgo
z7sVJtvij3!rzLrjjbIVaZOv~On~SLUjpqhHmHM>%w-`6NM@)UV;n{|L60(pW|I&wj
zx1)ZPSP{_FzQ?W?u7Afcqia11g8J~jqBLmMgdOcCeO{|8ZNu0*_r9)k)PwuBY2FDI
zEU0Zzv;W)WX6){N&W-H%b>TmA_gRUDjOdqGxK1j3#u5mJ_&0`iAn*}&BdZBL(j8wQ
zddI%U9OJrdPm*<Di1Eb}c~x2@lIbnUN_d1ZRDBhah|>nPqsd$(H)=Gb(erMfO$n|s
z0~Q+tT5!7L!|lhJJGdFmpT`wdwfN=yr1kfDT3|6a)=@S150B8He0F}<jQ3@BN^0e3
zf^+M1Ms4~A?kmP=eClE+PHVNWqC>9<<L%9K-VfLCdaIw+wz>WISYpM^`+*wZ^V+71
zm39?>${aq)JT-*px7^pD45>rs<c@Dk`7&NW=*mf99>EX!J(2!-SRKMc)$+27mT>)W
zpVNm_#_?P4MIxiW?Q*B;`GD-NMVwMao0@!V5;tKlncCRRH5!7PH8XaLcz9uzO7Yzp
zeCF)CGuodhyK^1LuClg(kBz=F<_np}<rgn<Nm){0oq2EMNXr6V=ql=5F1LWApKBup
zEo6}9A5TD?3wUCLN%HHNMO?o#y{+mf8EhKfycA(v#MhNS2yT5^#<Tpjimk^<pi4tD
zwCuTv9~Y$SEq$|!U!@h_?{JX>L5(^pzeg5v()~SiR-f1L3_ZNQnT-U7R07@{*O&04
zYuxy?)lHm#F3`u{QWe-HKE)_|EaQ^roC2=cY~y{;?j8}1Q2~-h3vZ;;3SR6RVBYLa
zh2jDn&%LcyhCbgFuJ;#L@#&^i^#gU(h$2KU??j^vi(M<pa<yx?mr#dIyACaqjX6Cl
zY@-A>?1kP%YHr|<?2a~+w9uhajw*`AV?~I6k<7o?y@?Z>kofUL2IS6twtHk#0k-Fx
z!}JTc@Id7s)YYe%kfCL~V6>Y8*dMePO@6k6ACWxxq469G!i-Bf0=~$Drnf<n`4Sb1
zcaGzjEMi0Crl>|;19`ChLUuGzr9p<F&B<^1IZ<FW=8#w=2je`Cd8x0_BB%1R61RU6
z5TSm}Tgq4tS}b~aNR0F-H+-(f(3Ts$w(WDK>y(9$vlpKh6*8a}Cl24+zj;uGmNJ`D
zh%9jC9q73k!h}*k*;s^S?Ln<M5sFC?vQTWCSa$FX3tH*VE$<5FN6KagTdjT)f&9qq
zM05rl`d2b1op)6bDHOIxJt-l=N9yw#8<QL;Gt1*|-8*445m=qDlSTwn2D+oe)db{w
z?bO_Y<X*J7lzvkqkqFwN7p`neaieglva$Vc;wWUUYxZFl5z3ugzx*!bLBdAyhE^XX
zkZIACZekM=xHt;KZ`<ubSg7O>mAMp3V(82`xcg43N)d-u5q>nGJ@4%ITN=Ik9emvU
zfh@=@i(dMVT@YR6DN(DtM?@z~n~NvR<bY+FzidES7%>fX#i@DAp_{A~wy&k-;lZlE
zJ)96lj%*FGxArTbMBBVwtyTc-7xDEE8^jQcV`(T0ri8wB*RMamrwB&!z16+)5=hds
z+o3>D1(}*_)K6o|!0RNFHXI{~Fk7|`IuR2372!kAqOA&2t|kZN$E8p`3*>F{kddp8
zi-3MT32Z-?l{*}jK{jS~(=yv+)T|!qOD#-+t7~`M8@>|}U24!{=QavrFi|sbf2;<-
zC$+4C56Gdl4?*4%SJY7ciwOsRM-6yg)gf3{Bah_u@Gb@>b;Q8v{Hs(`3ly46;R#U@
z&7TX;w6s@8ZHIP3)Ae*<lF`EQ#W^Juw{bbS<(N7;@bBKpn6n-T{};SB{*E&8UO%$n
zETE2h^DjT$iZ_7Ax__8Yr>LNbl${5IF=}YrIDdBTIR;`8EqQ-URne4m09JR4g6_LT
z_qGlKRCgwXb5yFL@L5u8{Sh*nT5)oHxSPK=1*~&^_Nk(be^H_t|EVIgh`pOByF5K0
zF}rlVSQV|US9-ryR6<1*-rm;3Ch%(DFxP^tDk@L)cAq>Uhu)fhm8S1Bfm;sR*o)m9
z&f(HLD{@g9Rjb*HmB^aHl6%-WQHnAuvQK@!H$xoBv+OUmvNnaa_iYK!TNF|KgU;KK
zFNo@|5!eLGOu?tfdXJ!%0xI4)pmec{8|{glEOr($h0;fl&bfxlA%^!_f)1?A=)VZN
ztM^+>VCPt&QR5vV8WQOWd>Q)>UrSQ*|L$i3J>r?uO2yKs;7#4yy}KiLuYAHt&Dt)P
zzkFcle<z6^ZM_TYzV;n!<5@j^F3cDRv0uN&wTYvW=t;Zt@$;B$PS3~bMI*>iV`nm*
z5k<YZyp}a(>zF&0Ql65Z5qu6$q6_g9LhIl2S;9=HfPZa%O=1+lGT%n>6%#*_K4}(s
zxQqtU{xCFmc>uH@)aBTm;6d5OOpb;2bg(COtAtd80mLpX#?x~lfi4AWq60nj1g*a`
z{b~qz0$O$JKCmIz-avEjUV6Bu_&z*!zyO>g>_qaW7*Xhm+SyWS2H5wy^pWVMKJY!R
zkV{RaML#@iez5<c2N0KAERxiRioG}Jf9mhx7c4EZtDn-tTeiH)SBLdL;)mr*o$?y)
zn`51YEa@RG0Z)07stactpZOda_=`VUq#pDCO$UsjxMp{Y4va*&cch0*;BQ=2d6}Z<
zz-_4TN|~SzIM+TXl5YHgFB}VDH<zRXwGTVW`M%m<n{)SpNZCi6_@>&ey^9tcZsk~N
z)M|lK-31SsrV6a!iTX_GBU&gj{CH+YObf)8wr!X0wquk|0sBW+XklvIG9d7ZCOF8M
zOsQH8VT`=m%qL=LVZU}($k}NPh&Q4`bgE-ml&@SZ!$VqN3f*_@sj~*K*yjeTXHH?`
zG{;}^_0vLnXP@a%lREhRWzvnYn#a~gmc+kk(E*zTP0-Rlbs*feh&++IfLWTpo0ED?
z2b_eiotj!Tm}#~&y76NPE4#rgAasNt0^E{iD5h#K7jlv>jb;`5y7}o!o-hME>1+G0
z`IQ3yPOeiVMc1)A>v4ouIz}kDrGEOWJp~NU^9_ZoZ(_uItM|Him>{*W{pH+mGBnD)
zS2M8P!v6fVEEBh4hW%!~<gyE7(B`VTlyhMRn|26GK3vEG1@r=iM8Ynw`;0=Wd#J!l
z|4V?Q8XFLpW5&-sBSD7jl~@fL8dxL0qB%0j4lg)FMvD)UK(y6!;*1_GT+n*s`mL1{
z=tsD1b!Sy!^3~C#_yjt*@`14NW{Cie(%FBREL7oV4o&Zq-G6h*5|7Fk=7y9z8$JHd
zRN#i*#K4#rBShbPAKvc91M>q+x3tAnAZ=~5C+Hs&kXX;wZ{WO8sXy`XM2<52*>SfG
zD`x>DBTqLEeDL(>%zGgvWjHM3t*DjC24tg5fsEh$5co2Qwf2h=Op6i%ms2=^npto3
zZJ{8Pf7Tk`x~K&0n$>KyE(BP;v6@ZE6ox;NT*u$(DM6FihoYZxTrhPy#piCmD7g7a
z%jxhcfrDzQY<UAW9D1!GfeniR^-!M=fnEu?8a50BWq5&3F4BTtN&+lTsc0B*DM5!*
zkw8ZF9taHHJCfrg3GB;;&NBK+VD4(397N&=a&XO=hxJlmI&dU2J4p$$eozPZ{1SlU
zi8?(*H5q8TZK*%9r34j={{rGmg}|m@v;1~B5grj6`JX&chRm{g&4z~}Fm$(;-@`<1
z*W(v_di_<PZ$b2rWyxMpMKN5BKjlF!oe=gWSQSo8R6kns6^E(U8v`gt5t7DCH4L3e
zu<_|I1Efm8gZXjeL`h|^HJy!47a{|7t!b(KJ4x7=g*QKVrve@``vj=B$RKuW+PHQ>
z3UHU3M?Q;_AV*j^L6uews;M*f7?5OOZ|TnDW;+R<*E=W<DXYV~vCj0kfL&j>_V$}o
zAQ?=JZg1vY(f|({`EI9TS$Ly0>?ATvhLg{$hr?$y!S)ABP~d<ZbUf`)BJZQXH6|Uo
zh)ddVHZef(&bB;!<#Szo=}&=+#Y(*?Qo67}Jf_;ipa_cpsq3eDP@p7j`1bxjJ@{;D
zmfbX?2yvRnX$}ccU_4p2TjI6>L{a|{XDe0$y(Y!D=?pSd_h-E<vBDr}rHQvtQyH?a
zrnWgYk>Jct-B!&|fRpdlA2%l{0}G?=PnK*|uzXPGH>73+5;P%-HV>8IP56e_yvD9a
zRykL1_Zh)l0}2-n+4ar+;~j4=DL^Pp>g_*i48Lfe|5wbod#}-1{(6!u7%J_xU}!Oh
z-`~u$c3hMo@ng^hjf>JSIGB-W!e;_^qT0>whbn@j^}+tTUJ@{9V8*<qYXU_L!CvAn
z3P9!|)=jmF0NtN3hiO9-Fr`ZU+`}sm6_nH5YZQKXcg{UfUB(1NX=D1iN@QV$Hzv@8
zzzqtviqUg_jX`-u?_sP05yY$gIez_P0Vd@;F0TrWA-k|+{mngTxb9H?{V9PK_-5Vx
zmF;%9RxK`*OCtq>PhX73RIg!K`p-5ir;Wgz&ALI&Ujlq$?K15Br?B~nZ65U)Blys1
z<?oNgAnGLZ+@6?rtl;uf>0ca1@FbkL*P~VhYzXac!ZZli&25T3k_F&rOuhASLJ)LM
zv67+-f8dcStj9BC0mNAEP=C?khhNDI$IbCkylL##jZGg6_FH&_hrZ>7CzrZyi>oJb
zHuiJ_Qj#J3S1Bw&@4LHSDm*uH>SpkLoujX)cJrp^b%uUrYXWGKPRhG#&*243R39aK
z^#O~$-#GAr4NPC0zmy$1hszxG447cihc>!54bM%PVSCOK&-y%z+m#*@bvMz2JOX>=
zH5mqoux_6l@}I$jt_Qq39jgnZn-7Ru$7n%kaG=;NdkQCtazAYNtOK=c{VW5+RG{b}
z_wdW5Ke&3ckD)HlF4rtaF6Eut!bHEPA6{1-#|vK;v;}x+!_|{rHy@|1W9GCsFoTv6
zJboYBfXF*77<=*LnJsw*^E=jf=dS-SzFt@pvBswbiqVqE6~>F$5;nv7Q(y@1KYvCL
zzn}^CB`;h*T{({(va*}7d)1FyME8rS4QK$@E#2V|<{6CU7~cu+pl-ZA?AxY@xdzDh
zTK`Qm`h!J<A2F2(Y{x?#{(Z1|r4G7Eb2F=SW7tzMqk`4rEx1g__Vw$s>LA3wepcP&
zH+K77c2}-n1HRa4&RF+A4XFJ$3eL<7VH5f(b!KZdc!v!!74fS9o0#{;i|GNZa*ipV
zX0sCiVNh3hDw6`P=GMz6p7de-lQ-|0e=5XNzUI^1;iG_q)SXwVGu;^SdhPEJdllEP
zdNit@MTR~5SmehlI<ebUWUlib+1TRyoLLzuGF)B?x>_~Wj%AO@d6bb~Vk2uzI(E-V
za9@{@$#V5OW?Hjcf4=7p7GrCx|4^R<Cbp?73PEjHt;5MI$}NN)6&BE1%u)rja$cfl
zNh@}qR=@dnPCX`H+Od;auLA!VIRyvhTd_QY?lzWt4VZ2-``XrmGMI(XT)N)Sf`NIz
z%|?17cH|Dt46W?${A(8KR2H{jpEft3&9W5>`o5$d>!Ac;z9bvhr53Cs^9ABM@*R85
z+I7$Vp&~pxY^*YLpcT8U*C*U~z60YS^H@9mR)C-WmA@}Hw_<%lOMUlVbYXMlUO&z#
zDL~K5s;b!VHY~~Hz*#a=FUEUuSuY@59t8d|MTy#d$KY5<*TsZ>EW7V!tx1y{+`o`M
zVRfh-t7-i5=brjc%vx$)w^3RSUfxaQs*LKu@_t%#q$Cev(qW0q(=oCTqj_}aZFeWu
zL?(>{3lC$x<GRDizlgB>I9KPedpAbAPvWvk^Kb0tflp=WW<)q<+@UQe(2Hp#pC_ag
zjADaV{TW7I$Uwwa$=x{mek|?F2Ttt8I2M1|;c<wl4BRpc*f_2@fThatC0CFC!Hm<Y
zN|momL*Z8}*(Yrf8`e^fn>aF!S;CqOHN7+lc=}~-3;x1{%A#IS80N5$MmGN6QBv^M
zT3lE<V;EDq?b+D-Zys~v6Se;KPZA_t3#nvCBbehWaf7`N7BJIO$v<92Ny1eQHKwJF
zQB3qI-AOI)CG4e6_-Y=VB&4<m^HQ&jV^_7kTqcjNU`g`Qz1e9JFf6oEXiA*Kjvc()
z8F^z3d;iI4?YW2q{0{&C|Njh^c{mhY6vnOD_kCxKu`|ProjIf=6e@j$ER}2tg%Zk^
zkYtIdq$Ej}Qc7x$7E0PfA|aHWkV1U(?|JTXpL5T1?)!URqsMEDj%O$6l?DM(FIJZ5
zvf+<oW~-F}2I8X~EvM;x9W1&~@sDoHYd4#+K^cBIsYvEa&(hP&vK%?Lu)yP&TMcQ=
zN)V;8+G^kUi|$@JuFW;W3bLj_<J~MuVCK6{j5}?fzVUtBiNwe3P`2q7wP>><yubc@
zdq(PS`g8g5ryC!0Lfk6LuJt7fa3^1*Tjb#%`t+G})slHG@P2<Fr+ZBvj7~gn-LJh&
zXZ2hX+ZDhI+eZ%$UJaE8E6?D=f4=^s3k_|((;+Vas{b7-Hye|Ku>5^~KSNlcyJMi>
zpMWsP<~pjKkCuay0&0eb7#sYG{T-urPXv0jcs?3P%fYx;d}{6pJFpe}2p&rpgB4f4
ze*U+zaPHLC)5hbRP<8cUenGYb+%UV}+*=|Gi_uT-IFq=+xM5Db?v)hGO1$>gIU@^Z
z1pA{~F7m?6%g^D1APX@;qv6R{WWln=L66l<0G1^KCI;u_!NJkx=*50npdX><+i45K
zvvNm1#|b64kdUZc;35aCd;!mEKZwA`>B-^hd=;1v4cDQq$pJs#rp&}LF&N=!_UiCZ
z1(UM)VWkCmIBq|A<KI;YDC5t|`LIz9qP4a>RJB$F*P+{1=AWeCkZE=sn}<4lZJpB$
zoKu30cS5cH8OuW1gP+?^<Z8kp>2Dt#g;d~lhvnPQ_ww+j6tZv3XhXUQx9?0a0hSK#
z`TDX{3AVM{XvT)<!JbjW?*HV7a16qmj%-(f4rkMI;R$4j>VKRitwn;anA`n_ei2}0
z(SPL6YYLFhpSdh>O#}X@j{D?R5J6zL((|N@A@tu-FF97I4bq1w#Q6vk6g}V1P1;F?
zA3kF{9trA0McOmo`wkkA+BiDOafAlivnMwgouq*03$d9BEiG_!7LhGDU<5o*Z)AwK
z8$!BL;Nl++9cVYN=vGlPhMa`%lWeX=uq*XL2IaLb#CIGY8%i?<*~p0li9)7O99E+r
z8mSM?Up{%xrWyl(i>Fq}yg9rz8K_>0AVblUK>tfZ#xTEoX{>V03I;Ye9M$BZfMe#M
z>^2!ASh-}kGj$ALNU>FUZzKf<uC={axJm_@D=E0j-Ub|xwl4}+QeY(f%!hz`24L)<
z?Cp}c9y)Xe_-|gPz{1&W7D@qR_`P{tq$R}`MxTz%6a`Y?jLeQ9mNISlA((SO!F~f&
zl33+W&X8e7;NOy`0ST&*v;9)b2I!qwIp_sssH%%`y2en3II+e$m(>kGNIP55%FqL1
z0y~eIloWj1(r<8bVFOTKu1!wV=)iszo|OawA9!5I@6Nuv0g8KimS}smK(zY2jK{Ni
zddq)Z+jur_fEM?Z9MZfx>>u$BQHt+l3=l2G6d1NJ)^?R!^Pn1Z>mTmr?OJ8T7*<B>
zD%*l#+7pG4F#=fXJP#Yo=SJGC>ZIYQ^}x2Q)?gN{40{TAMhmlr@TTIxVsD!b)bMAW
zN>GvqR%!9cg&m^!yDj0>Srr?|tkhtbT#$l^&qh%kisDGg{?~LZ-WsIUe%9{u7lT2;
z(A=g?5}3vlBW*ea(5ak7TmM@SCMGt|1}{mVLzu=!hiw4$4>Z|=UU5O;n)qa>t0Yb(
zbNwY2(&5GRUpHoKSs{1$q|{1~Bo@}QUpRTe3Yz+pxNRGM)7vO4&PUuOaR>h%&Ai)|
zQ2sS9=b_F|deT%#;j*42D(+(m`SRHU$leaVP3xc0=ahC&P5hBS`s>^4x&<sCy**LQ
zS@APt!G`R0vsnV4h}axcbT$VoQ_dm6zHx>ZqoP*stOQ0D=`8QMWCmd@HEG9l=NU3r
zUHvsfCGcCXSm=R8QxLcM^KPhliBXqSe%Zi70%>2rnEQH|Lhb?iSv74IOn>z1pzkgT
zOp<SR3T-ig_hWb17<bq(_TgQ^e1rs+StkBoFf)M-gv;pxoSYc7-^3;QiUi*5?Bqyk
zFb2;7{-^9(T&U|-(>gaMfeLO56)on*@Fnb2T8$PDj(@GR6LpeAzL>GgDXm68qDK5|
z7UIK9Kb?M~my$TP>+|q+4<k@+BX)o4=f``jbmRQpQb;&hF{`~mgTgLi?AtOybizA*
zR>IOaAY@-cDxkp$mn-dm$iis5F)mA|M;b32Q7UQ%8n9h@S34~zf@76O$81mr9~`%{
zH~U3}Mx#2L&M6U8(9d?-#*js-@dm|#n^bT)>%%+uK@@{@-b_n>mcz9TJGEsFP$ACV
za)Z+&F*J9|xNN|yfbJ2;2X~rMq19!owWdZKMH?R(%j{4@@_#*Fh=Nq;3CufHc~b&y
zn{_^k-d92m4v)h!lZL=rckO1*ZAlb%`VcE}UKz`EL#h3phEVUv|M~cHDg1W4q<z^(
z1q1Uma}AmLQ<eUw!)ciLo`r+AMhys9zEGgt``QpXW4o+Qi^^iFbXQTMfGS?dN+`b7
zYY3tn8|+h^<Z$n`Ba&;=syIcbJWc#-2$`~-ceT#RqxPMdg|RLo%8Z$28mm#kwTQCF
zH=%$pXZYURJypYn#)f^RK2(@Vi67sxMG2+18YJwmA)z24aC1r(6_Ov=ZG7vcjCX==
z4=J8kM?Pb#Eg3vCa1VQ~E+nIZGzrU!yT>$8Ybx)yehdw!ue9Y<cd4LhRY2494oz&F
zFFRWIhX!p2+x6872^i|_J1V5Cg^E`<uCAsV!QT((*b4qr#aGb|MPnUW*t2ELx>U~?
z;!7q>KS~mDj9ZwKBSIU)gd;t#4;n*>+UYX4cSJlaw%@2}N*iCgez}u-%>=Y>=)7@F
zRKx3slT%J@)WK`sk?u~1O+n51MMa|~3GW++?T14;s7F;&k=|+scN-UX?|4eW?H*30
zdn0vlmy?M4Iel}u^g<$`%RwDITS^Y6fDYR1tR-}aGXJUF-&s~v$9c7i;IwXS<mNUO
z3!JxrS7fE~=kgjTCMx2)VyTUVor$q|Z!KY)T7FC5ZVfC*Yc<{!riI^5l1h)2SV1sb
z%ICTi4P@OHv%dMDCSE*xX~(|ZbO@fVPi4u{z%xfq*j}*Hz+0yCJh7Yr{c}U_BcnCY
zOKki1h9wd<*#>4BZ3VC`sBc)b)<A+}#m)6OYS^YsJ9HoeAaL4&;xwg>Ym>@p4pKzC
zO%P~TdjLQT-=5DAua4$lURE0B60ldr_w-;FKu3KIBY2L4k>r7P10faso*bi7^#fq}
zQ{l~U7ZNsnzHzTsT?sSgZ?>|G0%U8<873C1;nOAEE!$k=(b4r-&y!w&royDnUL8cd
z)G6lMcwGkV+QMWB&j1F~>|`g|h<ME=KqZtag|p)SZAiQf;LopSp{SvXM9tsnY^&m!
zEEjv-FA~6Y<5*JDCIT)5O!jT&7Q=0&MEgxv0P($F<lOeFV6?VyV99n7T$YQ_t6~GV
z=>D=@EnOMeUPX21J`=(>^A-`kNpyI_H7?KNr-VZprhyY)0w}vr&i4G075L80Jb(IF
z0axwbMQu31hYEMxB^kk1KuyUeC+o>$wC3=X@FWjbs&&25@3w^6yVtKJ*2`j3LO71T
z<Hq_5(Z?rjEg?O+W<PbC40e&Ozf>3IMxAx)k2z~BAV>Gxnisz`&dZt0Y%Ar$qH{|0
zw=xzWe(Bp$jR8sQR?ex5iRD5L&i$&7Qp{m|ZAirAg9O&rE#&Mu$A#ZW2^SOR%wTV{
z*@q|J#BnHTD*5>s7hVsVPp$DcgW_Epd&+sl@#oi#8uSQm{M7Pmu%Xiwe!Tu>b8M>^
zMqO@9J)q8mg&!C}OOB=x+Re3gvsM&+!dTjdIC*h*U%W~SQ|DX92s>kSM6q3+q$<bD
zhcmWzEW2$@faRaGl>8GBe3;X>*^k1HZ7x-vtS!bc>)`aN;h+e53O@;Zdqe<<Duu^?
zI2c2!^0~c7j74yxYy61%pdjX*?aQ(2Gy*|M)_-{tBFMU$YCS>~MypG2E_&=W0?(~l
zold+WxOGM&&y`yQ*Eb(h@%&4J4{0%jOX4D^^~NeNbzB6G|6q5>%%Q>3==1;&O$6_i
zEr@>W6UDu(2eT*?8jM}ozlAkO1k2M@_4)_JP)TS)tEhtt#EfI)6L&<gVB(aD)*o@C
zO0<?K9H)Ym&HQg05mEf`MK0{1k|bWqWHDEyP@%-r%2zr`6b*4TC(K<6Z|-mK;2kxD
z427=bQRe<F&mB-6ESE+D2Wdg?3PafTpl+h>iWq(iReXAgTNV`~_U$eUGla^O(HF;@
z#qk``@7eu$IovP&?Me*Y5N@4FmiG~rz>ZHLHR4Q;h$~y=o|HBOu@}U*Q9mV+?_yBx
z?Mg-D40R!9FB`zeu5Ty0KS-h}c~rxQ%-rj%62tzZ20*p&V?Fm?3T^E|%H1VY@alUD
z#>k)n<n_hsUK^4|&e#2y%{d6D!1m>n0Q0=Rf-?CVpDZ4^&rar8A)wC?>U~`?fbJ(a
zJh@R0cT5D{h+S4i6~m=({z`^0x!AhjGG88j`r!Ou7B%epyx!=Ziy@R8+}%F5pnz&x
zSN3h=C84zB?UTcKhOl$1zgb;?5^ffVzwt_39S^z_^cI+NQ!f5B9dt+;Q8l50T|om=
zi_*8YyHLRf_EeuTS3!C>-~5cCCVskHOC`Rh!b0@K;1ezaT1D*4@0QR)s{SF}NKYCN
zuF~8cy9ns)U-ZCzMGNzn`h7mF(LnU$NXg1|rfz6xaYVIiqj`!+@Z>!sAew2D?V^cT
zJLz8XC_x8zoal1>c-$CHZ2cf;X`_Zk8Ae(0Lb_-V_hn~ynLttPVf$Q868?-BixW7k
zi}{L*zkh8og_6&I&ec95p%`WNX5~s<jA&E5_rTl?@-4m#KHaCz>`%VL_=YZ;H)Yv+
zn3{u_p!xQ`6?Ig88TMZIfG%z_-*ZF9%mV7r?Vbvgi+LBapGf@HLGqDk_DK^<h|KbP
zIMlC!4IgV*A2az9tg8QSO5X~unvCrIp{|LAqrzSvw`yZd@xVi089IECxO^gUizW&T
zQn#K~*FyE*dm~Gx>9A_zbMB+7CW<cAWF38@fkOh1iqQ?=xP<!ZH$zR__c)ns<fM-D
z?6+%f*8zN~#iX0F8u-3M*lzNc8fHgacsI$^`5}QgGt1LVPUWuGZD#HR%U>bZI4NtG
zX?7)^=hi@hWOrF<8v@c9as8z<Yk0epv*ikN4trmJ9h=Tj#tj;8@13`?1{WeP&!0*X
zhV*)z$!Jl)qkKIYWV$uDvh*{sTMg6qJnFM9l|`TGGZAGv*0ASXF3ZtHB69xyrGECV
z6pqg{`JdvqhH5vd3(ed_3=9=n=O`e7zjtw~m-RD!_zBv5HBnV`n^P6JSS^YIhkYGi
zR|0J5<jGu?A|NT2Ky<$#jIg03zcU2j#is>+x}pj;I4u}0RtezJl=b&04S>Hcd<Mrf
zl(Fe|Mcl!=ylCMksCDEq9l9Tu{Y{KiM8(dDpM=fa_%f{YC7&7{)~A-H(Qe4&!a>tL
zuYA^_M}KJIN~#rD@TS~U`z?!nljg^}COOayUjDEev4q|A>naa<$)Mh(u&CiMJC3ak
zJ_=&;!Z+yYg*^jO*u9e0|I>^eEu-s>w_LG+qg*5E5lNDm{2zQQ{LY32PaJHvv01<-
zeci(cZJBw%&A0i*CpP3wm@fV7Zw?wA?fKV;;#jxqoS`HqJ6f$WcxGD7;C1rpnPF8i
z3`<*AyfuU!uLe6k6x26^@<T~)Zdr?>{Ha0iSauFP(kd67b>0--)S4bLi4(zj$=79X
zpK+k0*UQFwE>o!fv_3AcLl_m$85@@0<V2$i_nP}hOkkt7@V>kD!YIHOB)X@59iCrI
zn{AyohDe34H#zEr@DsTd{Cl~W+<Ur*H^><HSZ-H5V->>F6C-xrDm>^jSZ#gnCsY3w
zpKi=d62$+SO5GkO@#0i(+v!KaMo{P)z~Vy{#1>(m?RQ!Eai^dG@#q{4u03g&iWC(@
zE6D=ig<=7G=ARbMd7K7y!G<Pec|jzui<_lx6T-bG`PQ;TXfP>u)`RXWi21sWWQROq
zWDmCZ?pQ&E*@0r$Q?~@sxFdY3ElUK|i)%FFY^iXol=DARLm}L?r$cn*yeOKQZK4N^
zFm+p-?{!nZ5IQ=Z9qhd)hW>`mAzoRAuuf>Xq2EIoh4Xf-OBfNyHv`Uok1d!!d?1@!
zrdt>-<PQ|BYD(gvZU4Ugo;83JVYgA~U=e&Pm>d|BD20=)MS)4x29Rs6Im^rB5j!pn
zuFgnfL(x;AUl9gyJ0j<q-YZeucGcDObd)Tv)ij$7(G8$g`;Ydg^I|CJ!2aovm^}KA
zmAMN`8o<{rp&~ot#4+hz+_Aow3V5&HBx(I`3LL$Ak0ux;f#N#^NLhtSSTR;s>^DGx
zalw23Zpo5p@z1yR4?`J)z9t9-f2M$Tt>X8{3MssLzlXPhp@IQaN_|8x1s=1N|2#7&
zjnv)Yj)QFktZW`UQ9eb1A3m?1T{n=$D5}Z1L;b4AO3S=!Cu{%<%V#gf7Rq76hJZU0
zt3-5~jO-}4F@T;Y+2@XmDWHSEi;c!a61H#3UzIy)0Q!e-hgV%u#3|pdzyhXTWmlMd
zTJAFdR~=fkBS9HAYiinNGyU&Lx=nDJgCRKeUdMCG%J`_~{=4@VHE~tRy!0zGA1S<H
zGk)Krf)+zUueBd)G5zzW)X)2<KrqY*AvY872`RB4{iQbE|DHbfSCR&KR|YwvZm8ld
z>1RP~Pjpb7a;?g?j|Lq@Z+8DYOGE{Zl>3txba6+*cW;>{BPhQgFSs>Y4GV1<@~W<S
zSk-X3S)|4o;?`I2{N6!A?_@oLjoo@^9;5s9TfGU0IUAKd&{RjM?TZwumOfG?i?eBM
zrVtl@d{&<6&p)RtTs~!~k6g}l-NrF9F!htI4Zfs-k(Ko)Oa=7OPu-<SOvD0sUMw~I
zplRabnQmvzd_5fgAbXtK*b+E2KOAPM)x^8zk5urZE><lGPBiYY0@22wj%T^GP@MK7
zcYB)-z94>hw7QoLcY|U?2^LzYm)2LjH%=R=?}DEBkO5Y{J;_tuq=my})Hhl4ns_Hi
z-RE%$fONFx6%}pfJ?TbC6f+HEyI3scx(XntQkpR|#N>|T;F&HD5^Arxg|Tk72KRk~
z_u`^7(fywpi_ab+{*=j)i#uTrEoVaPEeAC)<s-vaXfFZR`*<}wm082VIFV0hwKZ`4
zkIP}DLCR?JeQmM*wl#21&0gwoQ^#ki$<;G#3aIZ?SHoXz4L*5p)<S_K+`Nyr^e;dL
zhY4=y>k6!)VQQ~QRe&1a7TfBXD=vvvW{Zg};noo9{Xo&;KO#;%7&V;`6T{t2KkKrr
zn0(<k)-V87^!h?Sni3+6_RaP7o-E8dd*D<pk${65g3WYmek`rNK{>$8O)IM}UitB=
zpl4aJ&!iVOvexmab_D~xl25CAJf?&Jm-BjL)HyMR@%vAx41lEecUQ9y3g~3Bpz<r5
z4ZpA5jm$hrhu;BauX^9fVbzLoh{b6Zyd4zi?fuyb%(pm``Nm~%skx{}Rc4j(;rtKx
zFm)?%64dNuB}!vwX02WA>M~;siIf=_WeKM<zO?^}lSI9q_&p0%ON^`@;#6*n1vF7g
zCN!4BF?Z?o(a&5<4A0=Xo!_M`fIrkER)?t@R}aZNom%+Ih(GE5ocDk^bo;fK{_tRO
z)XinzN1r9eo!#{_r&`S5Ta=tzi<JnLelOi&OIv27z4YpSKw$2tl7&O}dSU!p@bjRg
z{|aM!P_=SbqABG3=k5LFy&$sv5{VQ1`j4^CQ`w96hY39S^dxDMy8y~xo<Dh`aE;M4
zGhcdOs|g6K)E9}#@ne(SZuhAc7UXtsPLXUf2JTDm6*q|Uq0Ne@NMH{u8f~wd6Vf#X
z2jTO7=d5|rMEq;gM=o}pd{ie8aK#8h*{dVnOL<TkK2=CMaNz5aBVHQvMsV)<rL6<{
zJeVhan%-T;iE7FbC;f_Oz@F6FN*m|K1aA%XeG**Ar)O5Fu0Vs#Wd-?7@3}E^N5-A}
zi`-b%K9Z4DMg^r=4F|V=Zj?MG_w|7lFA^HOYVMG!u)*FvZc35|b9vcWPcQM|^LC?s
zjm?H|pD#aeCXxsHNH<;)J_=xf*x#wwI}M@mjG{%>Zyxl{pMLkHO$dop_A0`h0lW&1
zV%T5eMM`$8iq<b-yx(-^*kY~$WZ0K<&js;eK#+<Ug~^8$T|Fo;GXO$`+4%}je&iF*
zzrMC!45KCGPI~;HfY5@h@2f}wEW4NhS3s!0TceyQjtPU6(Km`HK+5h|WUUj#OV{2_
z6UQY`Ann4?zwH!wn0(2)fL9ntJ^d_;{G^cWT20=tBn1Sfh2`qsG5e7IRmd_gjeeZ=
zcQ^*fQ1<79{*jv^XnobIyy>zmI>(lJO4pNtz5L$2!eUYMdn(wzE=V37=a=;UW|N_0
zu&@42sTfY5zfbLSR>V}DU5_uukRc-c_~p-!#j&3p9sXTQ83l-;_vJ&#;9Sux89XO}
z&skg9;w)6~w{lH*HM6cko;OwlDICxi`LXCpz;$;6V{gThA^Y}6`iX1On3&G5a4SO<
zr4CL$$uA;<<c0FdW>s0VeR$L9P%9A|&4<siz9K`@!|R^CjdCdEqO6)KNJ33N?Uz>t
zDbOfX%<CPbfb-UAJ-fWsafx(s)iQtrmM?d+Y^5mS$KIoXr|)Q>LNXsAr;`H542~Ic
zpH#*)>*fDyd9-kwMe~T0H#2_)T+)<JP(e%m{I_Piv@z+(jPLXsGk=kOC>tdZaOdf*
zTf$0paL>hm;#Zms;Ro0IEs80sDBvw%w)2xN-qKm~7tg1HL)@GPTNV-TTrk=7aZC>#
za#mwDo}z*I&aMxE=hTqR$6dbdi#|SMIn2GI&<JGhe}179kx($-dG8}fG9JEl*Txo&
z!8xGUC^t_X1Feon{5wrX*$cv(-v2X!kjEL#wBs7sVR}qx`X(6#z7IRQI-0?ap+f`P
zc4}fDr+hr?6*7vpt9`7#W)8C7ogJsew6Jdr$Mwb#GCI_iorz(ygxXtmk&?Aqm~iZ<
zuR1RoU1T;bYI|5Q^Pul;W0E#jen}08n%Bd~8*MS?uhOA6TWjb@xHdZEn&~RU>tf=j
zLCS+5fSUByE7Dooc(&$ERrdpJeE8v~ZqyvW?FYq;)km~3?D^OxmwIMSOz9gi+;0u4
z6uR+2Lv38B(v=U3Q%7!2k_>B$HOyTPu-wq3h5usCzOYnR!_I-BduzNla5B!Y{HdfC
zjuemlNPkAa=eH7uj~Us(*!NOTE;~((lPOP64p7FqQ?Z_7n`|IH`R#!Nt{V8lAUl@D
zS{_sFD$YJ!ZvzGEzI#~H)zNvz%R_ld3OP<*B<X3|0CEslUBpQ!l}{|16BK9Or{&AF
zVh!)^eLGS7nTV7_6_Sdlh0*SC(RF7AlV27Yf5vlE@yjKT>tTz$s9kGsAQxo~ED=(7
zF4_~Y(7kWi_C6<eO0-xxt6IZmf{wR8n+is$knY>NvEr^L%8O@S0&Ko2ab`=h5?;M6
zyD2(tnep`Pk!y-f9`Tp-+y0SJ!29B5d&>G37;d&o0)0FHYHNLuOxk7fnP%)zeC8}8
z{DNLb$rd`W2p5`-mPq4tI){$c(+S4hbH6o<Q&u2lb3Qk?P!fOc3O}44@{@6XaZ8``
zb4$45B~aYeAdVv2vahSO3^Uqxux7|{SVCUrj}o0VQOtGn)X`5HVvs^U>^-v40z~(^
z+9Vwi!T)-D@o&TsL*|o;{8FYl^v>RzwBQs*+6a5pwynbqFHRqi`7UODQM1eNP8PtU
z6jQmRsS!ruEbDl_x*06hc^c%~@nO0@QKv(5l;IF97&;Sc3Zl+VY*EfUc=(V1?Bc*U
z!%?u1i@n1H#NEn6xQn?^O>&2p<?0lp)5)l?*}w!`c3AX~RoCIR?`)%^v{}Y%h|^b@
zd}D}qIOWqZ#LPt^=H^L)bByR`{i2J@MsWEwHDalU9l28OuGw%bFmlcJ?zasvf@-1e
zw$B{wD7*7Sy`T6ZW1y$!>QpBUIQL-M<SsVMas204Z~2$8-;<3tyqN|DtT!_``&jX>
zhx<YQ<I9X~Da+%sPpKfc*2}gbjTNOt?`=XRH*GGl98INDVcC3oNc%r#ed2c+j}8lF
zHl}<gpdoO^6_W}bSkXKD{aK46tSHBya&y|&5D1s;i7h^?__C98+3zzO&OYU-o_%cq
zucJNRZ9T_|Lk~U%HZb}4WRy%b++_f%J|{S|$64|Arh?5)9h}%*?DFc_1O+-gt2SQu
zX2ZK_b0=s=xbUxS^4g<B3ON4!Xc;`ihO&(pt5r>TP$Ztu$x49&Rfn#zL|kUa{{a91
z|Njh^cRbX89LMcF@9ZNS&N#>2+4J6Kq^OJrmA&al(lCl-7HL?Oq=<%6l#IytV`P<-
zLNc;x36+uX^Y7>J`Q!6`eIAeZ^Yy&C_B#hj@uS%@i<Y5vREU23)tToo2kM=7Fg-;O
zM0xpVCgMD)Ak<K~-tNkY#I_vf_-iGMb~Ou`JmaN;FiB+~KbQ;cVx^TPzZOB`f{jUK
zVcH<tHy~4ejT^P_>^%2L5Qm(|b(9PJTCm~2AejD*2k`|>c%%m6QAI@f?AR_X$PT=I
zw$F<Xx!un@{cKnaX^JH6u6aj+`Xb8di|hO-CbF;XOt=KPI};SP(}x215#`9qCP5VG
zmG@ngB!#ADgC)f{DR4F6&Tf+mVN|B$%@w&Sjq<x#>Kdyx;i~mBAHgpoXnE_!OSgX$
zkn9}akaL_Sd@fS+6%)asBfk1)x8t`UHlh8`l-xDpc*6e3R0li~2-11xt*L;HU2<%B
zyGIjrXZ{;&cp!%U<H~AZ_EtpyD9^JG1!zLN_HnBfq6A_~kFJd_C8FiW^7jL;X+lN#
z>ecO4lIUQ)05OqY8BGg*_PIN&2~SUaID9ck8eLNo@WY={LEei4vxg5+fW-k{yvvw?
zE|7bq-PcISZSj0vkeC*9*!>*3s4j<ezB!R^o>xNy{JqywX0;%EXPRS`zC5zKBC9&0
zqJh$0WZj%x*9IGY2+}B1KoUxgk*JA`>{2trZHuX}&MX*Pe5Z(R#%|xu@Svay5fv}B
zLo^60CVGvo6Vc(fKawu~)I!WeGakX+bl6wAN7z<Z8GQ;*zQ3VMMK3mzcN}!rfwxs+
zX3s)ZP#7oY6_!yd>cF(c($aN-`MSpb*?kg1%SV)+9HXJ_3nfeMKI;K(TZGK#&#DL)
zQ2WzwhK2;T=B~Fn8Nic<0|syS)RE;DT&AHe9TDH(NR=5g1U8d(eTI?-s)%DRyXHVg
zdx!zmHYvt1zIUL^N|B7jw{8tt)Tblc8?KgDj7(wr&kK&+e`Hjl+>#$TMnma5gLfFS
zW+3lz=ryiX6J0h^vS@OkA<Y{;wEn9Mc+>6Nt3ak8Za4al^mr<|nphw&m;+GqMR&+I
zjDk+o-RJ+cq=lq|zx)@tlL_*FNx?>u6eNON?G?^xqP;)d-DAHqVMngqnleyO-#<?4
z>z(STS;&?U7HR=bzkmN$Y|})K2nH=ThBxzQ5QQIIo9D(y1j}%mh|P@_exy$c6_*hw
z!i6p2S;?022g+m=KWA?!^j-m}D7apBqF92r*W1oH4h^)$<9hD<_XLz=?$8}iwuFN`
zQM0|ZYKSDIVRqS50_E9jW?Bncf`B<u<C>Eya)`g}7ZWUs1a}FkRrOlH->Dkfi*6N!
z3!QqO$IFK@%gKTV&Rc-^NY2PPYi0D-!MW~p7#kY3_`+63w*a5I{}Qe~B_il>W)YEC
z#w4A^SH5;KVTenXoUE*f^7^{x>ovY%PG1|cYrL4Sd%KcLs+l}8mW=uStK|c>(pLI{
zG7qrzakqnny)06TKTq<Qs$kg4(#X}Z0P+*vT@R9^k-WpHhn06fGQOVodrKDp7*x{H
zW}TKmLlGv`sW8r<t+xD})?>g`YGilI2{H8MPOQzpfoX>Q-j}W&&gL+F`x48%J`TC8
zI_}+<{guJ7ZK_lEv>E)^V9Vf86G4tfL4rrSzA^YFkoB8~rU2Q3>kSzKNY&9!nq%Y}
zqeZ!Pd1S-{ioRn{d31PDO170qrSLaK$3w%T5d;(XFDJ9)f+iOlb_MEU?iYsXnR<z%
zuEvndFKMh8&5pvcS8MpE(~P`5eYJVFji49*NOnV<6%iV5zdL_=k})l56;n262q%_*
z1ep9@!}L7bTRr5*8QpsyRrpyNLYK(S7!3YmlxnFjdrC$ab#m@f$F3Uy<JQ{KSk5J^
z(IX*epYI@JWtpcrXIURyMK^pu>Ho&eB~L8br}Qx%Ux<E_en20FjraL<w$Ec4snycl
zUEPe<ck(k^8uY-Tp3@v3_!Dz)JeT<C{A-4jDZ9J4rXJuUkFVlCe#3Y)ql|7$H8J*{
zbZ=x{*M;7!3p0A%GuX`FO}4jgRSe_1E&)+Oy1>RMDPFyG3LCpes3b_=WK1Uz+q08&
z;DH5GH&S&18$9df5+I+4`7utf9A(jg8rP8X;{jus6P3pDMe!LXJi;pZJC+WH>T#`O
z|3)x7PX20X#|CUXNVsR2g%0yNSI9{<pRp(VI-Xd(Z^eYQ-6aB&X;8fVu(RI!5Vk!x
zfp$*y4Q94>@0yA*4Kjbc$q1|&#AYo2E(U9NV|1#1mF)FR9*O4qj13Q9FN~xayR3V#
z+CFEBz6KTk{fs&m;5&ew{(W`H#r-2DN|^Xn6R8dJxotg{m;=~xLf4hNgaM51b~yHL
zp%&oQU$EakJb(?{Ii2rNKa4H*5Pf;xQ{eY1Svu&;0Jdw_xg+2CN3kCJABu=)lT!&0
zDE43wGiducJ@a}DyU6{-ip5G3cue{(DLfg%mX|l`Mea^ud_Km<?kAF=vA-5?x;BhS
zPKF*&zBz@VrkS+-4h`U9-MA;Sbp)&P6F7LUb_P2bbEctLTmwXpG|v9f9>r1)ZHeE)
z`VISbOlW}JUmc($d5vf`hV8l*rTq2y4{R>x%JHqWYG5D=GUA8Fu{Ey(eG`#6EWLy5
z5iPC;At$&(>su!<-Bx?2o`iWUGxQ?&<zuRlCAU(3Y5Npr+%`8FEBy=0{qUYY?js2b
z7fNeRFHK`AA;&Q5p5ItLo7otXNrEjBGu@m$U$7GndO_K>i`bbSVrlOq72vZe{iQzj
z4a?!<##_Ey#vIdl&8!twASb`PJVkpJljI~M=Mq-2HAAi)c~_MI3y43hd2kM!`Rm$s
z=++u$GFP+yOH3Jtp4PkvG><Lvru7Txu%NCd-8F}El)%2L(Q=pVFYNqGcEE=kR+Obh
zatApjNW5-m$hr0#W9GcO6%fddrvB1c@7^cE&<elPnZZTOCpB#=n<Xb=kkm|<O^ARo
zGd!JsEMr^t4&B+diyJB2tES%ipa^9(<-e13S24Yz7D4-qyeRDQnLyQJiok@gp5;|*
znDdVP`)=_Ipl$p8pBoYs;rOF_^D*Wu2*ghQvS=4V(=WOL?sX_Y0ol(s>m@6?BYv>a
zZCV7`;&V$*B`ARQ@N`SpF?J+SCEA~K8Hc2tk`|V>D!^JiORcd3CmJiX@96OtL(@kk
z#fv2rz@4E_H+1Dj0Tv%h%nnJQs#6sIS2OY;=1{ve@dhtSQZ!!tP$-2$csJy^Udltl
zxegbav;Z>vGIFFvlz={-W#><5l?O{Ax%JiuArvF~{3oqW4xKc^s6Q6vVTk4E!{=W`
z(AHL>Ez52Nl;>=Bw1A=jVIw<Y>o4Jun+aCE`->t<xU`eVd0GL89r7VI9%88Hfk0(Y
zp%QxMPO-B5qX0M5{;X*3mq5Y{uO0tlRgjsj>-_H=McB5+91}hxg~|m^_<W94MH*ow
z!}>!+xPM9TrAEIDil~;!F1)3Vp6gUU+;>U|G}y9fcpo{W<+*GxJ4!~pQcZ-@-O3>I
ztx~2!SOJ;Y9h(_4)<Pp~HL?AXBv?)<V5>}4L_gWSPPRKyk?2~9YId|5H1`mPEX9@3
zIA8AR(o`DSlhEQdJf;EnY~*}~s+AE``mqYXpd)7HZ1qMh1x(AW#bQH9Xukj4jkM1?
zD5~M(FfN4(9J>fBJ1A;MFgr8LX;K$Oj|yjf4y8l>$70!ibLz;#XPjd%riY{wp7u9p
z>B8j<3f1i)8O=$STpV!KM<E`;zcqjBL!#G$*3cdb3KSl_bK{{tl21CYT99A_@A&Zp
zwgXydQ14xeU%oz~9Uv_6>6(IHR(wjYBo)bwyJwMA^wG=vm|W4EIY_Ht9BaQtMMAXq
z3I0ZU=+vI?jF~O~A5m}HCoD81b4=M^en1EDK0II@gR=k=2iA8#s5G?8rIl=krz5sI
zU!p2#me5mg8P}{yLo2R+-*MC0=u+ig|1Je9(BYY^Vq2ghNBxN-z8YkNFMRoBN3RtG
zkwW<G&rs2=u(Z4>G6`Le4APU_X$>>iw&mH^X`_ytvuuCV6wxoGfQ_X@Ye-BgV+hM>
zA#1y5N9~?UA>wS8m07$sxJ+;tr08m*BZt<;Y99(CsV}8BpX{&(;fN*wb7C6En>xj1
zG_`@blA2jfXRUz!*6zX+U8?Axpo8ANiTBtCndj?)N31~qN?y<S2^D0^oJ+f5KhLNi
zP8qcxv4mawDpNCLl+dk0iWzSvE4<ve#Cp-v5*XE=%ip#tAZd!*o46<*Ao1*sur0KJ
z8qaaHAe<Zu)OXHl&KHC)N>z+XRtvbKMSE`9DTQ=Lxy$B@MIe(eH2Sa~6RyrkkXT=d
zA-=6jww4p3aHo`Iv1&8_RA*CdMVu%~K2o5w`vDGi@!F`oWCF0nccc^T_>sS7MS+?W
z9_qDU{1A_10I&C2%6mRegb8N6K4FOm6aF0brBmi0B(7|7xPBcYhi?p4GVyTIG0G<V
zvKf4IHAo=F|HgQlu5c$S;lb;*0#8JRDRkG!dahlc!rIz;W{8V8h(ACn@18J$t4(Sh
z=X~3+REMQ&3r#pEtv#CHq-X-#&8?&AzV8^HJ)eKy$ijiH{4~eMKx0_<uka23J<0f`
zp}8J%7zeYlzXW`r8v%8=uZJ=_$9P~@oi^Z%gM!3+Nd$2tPzgx<8*I18SnQUZsC2}^
zX$nzqTcjZ*Gv}U%sID@$;j+>bJaACF#n;$*+yJ!vALU2pY%ol>l`-)NIFJqB?bEy0
z0KQW1q}BGY!pXm7t509x;N0IH*&|*0oBmZ@zEaB$y03le_lV%(z@L4`f7t7Tq3^-(
z0?C~4n5>*wcoGlNo%#{#eR`1N@n4&_2{*((VawdYA_l5&F04!W=>hLRLSg$D4>(>+
z(AUlvgQ&z@$>tSZ$a*U@aWb9{#Mm?*lJ|+j@*dYo>ug;Bw@zM71p)ZUx<2BgCIM5i
zpSfQf=)!ZA%v&N2g0M5x?3l8+Bs?yEd@N^F2mEsHrTq*NhN>NdJF8@+fKaAhzLcQ@
z&-W;>WnC13I<Gf>JQ>m;wf*10y*qRuEj1w6EnF17K3aNyAVvn3xJu^KgmmCdWwy53
zW?l_xwEXs70(ABUJ!I*pLyoF9YrZoc6k4i2m)ps~JlCfaaiw%9_L4C(cN2p=wr~HY
z2DSj^LoD$=PlqO2ypQV<aWL3EH-FMn0oo68r$?Tk13jzgmTa~J9Naja!B0|z72!ea
zlK<#XdwHH3+AayZ@?OMlh!LT))L`S!VLIsQnTE3qOT%$ySAL+d65Md4PlueL!+vkm
z2pfMHkSdP2zk*i=k-^)ybPMUA;`f@}v5Npl$L2DBDX2gOrd}HHo(?aEJQupR%K@JA
zjfki&3I0SzY!8sofrfLfWWJs)aA}2CHQZJej79!wlmF8J!qxp99}E<rU#&IhoTnPx
zG%>Az-=hO3F7r8!@hbwI?dnf~aCMkCp&)6qM;G+o<PW({DuVyUQpb-d4fxnND5Wu@
z3+uCQzg%b}LQ0Xl=l*aqC=s~5US8G%8R6$$dkd5xn=lyAw(0Y4nhMF&4*H<*fbK1O
zS{dXIHl2}|p+LN(&h;i`1Ms-*Li*&Q0!&ZBn~CQX$P2nY+{14O<J&EIq{t-jYUX-!
zURw(q4UXo$WH*AL|D;=47f8^nEm1ubrUmnS2Z#6Y8iR-d@#?Yrsvw>6)F?1g3t~OO
z$p@uO;GW=(O4XfeAU(Y=nvbakyw0<`y2+;CtSWY?`=c88$UnJxyp;lvsH>D^Gc(A^
z=<D{_rVfeHIL{(J3fMnPn@!$k4s6c7@072q!=W~lBXj{xsJbXq#A?j|No~z`>6hy8
zBz37K@vR0Jj|YpNl>pc^;?phIsSd_l_g$%USBK8Bc@!1{pnSbV_}wFQ!10Ctv_Y!S
z_8QmQ`~f!mbG?#7usY-faBR8ELW1s|_;+_@n2=$1>evkyb(r_+73J4dhPr$G9dnz$
zEIfl+rjDvXzq~%j8G9nM_?;=y4Q0Zfc}aPfR#mWKadozeP=K*`pKk0V6HYdN=lQu#
zf+`}<zF)3#Abh)6@Js{~bf?+`E#*n@`C_Jv;+ixBHCttT@n%A<+4|}>iV9Fp=P*Zx
zBw$2z`d15s36_dcmn5{5;WoL!^AWEYG_ozN5k#2qyXAu21CkOLjwM_gNEU@c&f1cH
zJpfv3rLzqLA`}xyD-(}}Ao|Nu)v!ze<1wx~4@DK>VPZv5!7?B87nTGZumwm7{}g2^
zpaAK+Q*9rNazjA40NcPa16s4|{`t#ofqlbi14J)Q2ueMwX0?w2xjdo+aR#!`UV;yJ
z7t9W6r*PkcADcs%LuWhtAsP6-vn~$iS%Ix#PSu6W9N_)_+AXzG&^440d1HzNOiJbr
zOI^)Cm*t9>fQBSo+!0jiZ^i=Q8wC#KPfbD2Xna+>MjVWHp5yI$x4}3cJlE?XU<&d9
z`*RJ0#6VX-Bp+A1!B}g0ck)Dl33SHr+nF2Vfn6-cgH4nLd>3rx;$IqrO9<I!jEsY!
z-DRA?(JT<JWi0%aWDHmIWrl*yMB(O;Bhv`S3fmq$%U?+|f|-!*cLzg6fH3ua!K|AV
zv}7xXrhgkk*2p74#Ykaj9s=*AXKX<3{5m@1wduJ6{`Kc~3PHd^N*A-59cJYAm#uai
zz@v@q(4hT-K#PxlRoce^guO+0*KG!XmHz#!aZLc?MU<_6igH1jQ`}X_Mt!&%#uM(z
zCje=_T^CpVxMBKP-{e-%hZBKg^GzlEuvbNr5%Zo0=CzCRIhr>8S1j(<)<}Nv{NyZG
zcYqH}80Ei0ZS}y$k#~>u5q_9X!o{Tg<A*CMmK^tcbz%IV=Fuma{LnR!R7rd;2%*(h
zq`?4P@W59lyc_0+fa0%NI@!X2cipaTw5|iUio84G90j2Hj*M!5s|eg2vAex;O$UN@
zT(uSdCIC0boh*O!h(f`)a3?Pl9T;{M@T5Et1iUT3pU@_+vr72$urWH6oeY<JbXf?l
zFny;})Wv|mQcUZ}B|7}$-n|dY-^^3g&!cQ}ub2Ppd^u`G2mRFJ{ysq>FxsBfJJKZq
zkDVf9E^K=AOa1a!R7p_?xPIqWu(cF4Jl;Lc*-V3ftnFG_{i2}p-N!oZy)<}~*740=
zq(NTM#)l7&aqziVblUAC0itBY?z8#P;Ar8Pz=P{}FmR7fYB!UE87WmGX)79_e%)o$
z8)8u1VHkdhAP*v6(svWJXizJV(TIO04k8P`ip^6M;ASROn5;~L9c}K5CF2rs1owCD
zK$ar-j(ja}Q>8(?ThMhMbt!O&6|=~AKm^}L(j<!!4N{78+m9tnL(!3Iz}}?<7rc@!
zPaL4Z$u)DY{=YI{)8=u;ZcQ2d`SK$4(rKWwqr22NSr#f6t_X%~@})t#*Z*ZV4Zf?*
z4ECvR0gvGrpC?CD!Azsmu3VE2r=p*P1`o@Frx!Y!QLYC0*X*66^5}3cB1xFzg8~$e
z1^&qSsSfg1c7J1(bf8m6qJXtQ5%7=e6}FMcKrsGbG})*F6}Kg>`Bf01zqhcHXs-zu
zYjwM$PU=F@&BQCy50v28*SnM(-W2c%h{#FYsRvXWi-@O1%HUEpX25jOf>oiB@B%}9
z;PBoW<$YZRNG4B|$4J_6%JNS`hKT{Nag&~{rjdZxIEcE?tPO|a=&F)?3?YaqyLWwa
zo{=rM3o&9;7<@1Hpf%PA;v!8JBDSf)XmtKZf(jL0$|v%0RvE*~xC?b^eCl8?>9+T_
z2o<8OE8<ocO`w*0`^2+yby!_iIWu!l8?aA{1x*HKkcJ;wnlaJ<EgAE<C&OC6e|NU?
z_7QU^GdkF|d_x1wSv=xyHBsPIt>MCvJO=oyN9p(WYru^iMPpvBn(*POLNT`sz*D0O
zXODl?fYNf_m4oFPP;yIOE~*=V7*~N8c%uQClU9UnZ`2_7&(ELxjG3^!;T&t6r~#y)
z!*kIMB;XpnP)JW_g3hnkujGU@U_vYP?PTs|-*`!oOmAmGfm?l~Rj4|6y3-|p1rs4k
zEiiU!cC(+a_!gYKrv_Syly)Dc0tm1xCq7$ag5zjU+4}}nkYKCmDRz;CiCZlvw=FRt
zdgu1KZj1zB@~YXtLZv{W#U(puhzYFDq@~;UQ~>8c<e1zi2ID$E`*@x*;f~hngrs<7
zFxuC3{6M}a_%q+<TSPN~a9TU*{B9+<%#dxW%M=8wH1{7r^_UQF;G0E|A`zMsC=96L
zfvvo=RX1h;?!U3^G@e(0tgr73f(tpo=1t|~jVu5!S4-i^3-XYw;Nuu#%L@0%%I`M6
z3l1Mk&OdK22b}5?Pd~yM!(fYndktbhYMuQzHw^-ee&s#9kF>%V`DLu?$Hjp1j>(H7
zO43k#f@ghNVUe+eU3izGojItcsg&3=Bw?=o!>2t0zZqiLJ8N<;nE~}u^J^?t96tU2
zC#l@Bz!2TFzgPI9DL`A2`1Wx;1nbyp7HTap>>sbD`Vmcm;n*ol55Ymi6gWqzFEGTj
zEYgj`Ou(;d*j-vy6mTM<T#Gjr7`u05SS>dggJ@}pjKQ!lkdoKTgd%=1Uh0^QjYt|p
z%aISY-`WM?#g(KW#_i4bs5jQhgd4#r;}=6V%lu&REM(SEY>|Py^R#Q;8Ulf@#cjcl
z4{i-THW9*>7^~M*T$^+ZLD%i)${}H1kYl93{+7GK;98B<Ho9&AuO@5n)8@IsML&iM
z6|6GE>xhDq+y>zOXvfz+Zf;=G)INlDtub=Fw;Xke&<7iO+myTm7kr;If7C0&0?{Q+
zpI5%=!D4Q&A9pJ!B)M7&_SvyQi<gnkUtc{iEmGe9A&3*6R}TfQUuA>QDv8>IW4e(3
zhtw~t&k3D=*Hnos?7(xso?pdR7wV6Ef!FGspr}>YoEgFi{Kb`xUSD;9o>s+4vfRAS
z&s8nF%mr<u`CFBa>wxDp<4sE(C%l`zWA`|h2YMCLvd(bmK(4NnUePEg*fq3`4Lb9I
zY1$Gg?<yUR&5ft?`*A^Npu4s$T>#ElX|P<U(IGRjdFCb`H|$hA(=x3o1oSn%k;h#$
zm^9Hp>)g!^v);ikLRCaSb=!+l$)hy*lWFuRvW^EH_^2Lgun`5-#8ydJSsK(U?A^#|
z=LPxx${6x#9CWy7oDhFSg}%X*x9NZR;L(B1izhqr@aV^%@BhV7;Xc*DGR8pwRP0_m
zpVJkG_KL!ud{Zj0XO{hGdMyYO2G{ttDkb3DA<<AX7AidL*qXf@CJeK(GGWGhq@Wak
zHe>pVHvAha8w$HA0-jOdCW1s{V55F!R+Om?j`8BddU>K?tQV2x_?-Z5HpHTqH7(E-
z)0^nr<l0)z^G~*4<UqYKBS-SB7X0ONc*_{TgQ*Vg2bn_w9!_a*@qVrafym<Id3kZz
zb#^U-MMV*Qk!4->U|LYV|8HGEj0A`jmp>DCCW7a)qRP2ZEjaH(F}7XY>|-ulMHj9q
zfkcOC`2`hi@Jl-3E1fD0&!(dtGrlXs4Vg))zI1IU<j|1YZA5?)m}#}%N!r|755?Vt
zsqoO+Dd7#f9PE42(w1DK3bro@XSG79&@5bV|NYDs=(8FB)<sc=iYLD8v6ED&Aykl}
zk1D|A<?O_;VhyNndZ^+NL4&y7-Li8rionqqj`x+(1dt5zty7`Hqu8T<gbX4qF0~ud
zlPF;BD0)+CfexSOLh=twmEbkg^v>|07I?{h`LAP02QZ}rJ8yI<gY427{V0Aa82)%M
zG`{ImKkr=mt~9FxUc<kNKV(ut_1?P4E1W*uxiBenhfftso@cj`SZP2gf7X|>-vENy
z{le?z)BrQI@txd312LESma8>}Q06J!W3Q+Vyf%4?FT!YmAFDgqLNSKVkKKJrH}|}^
zpV<}B02+k1DDsLvHi7leJpCVsH9)l?4=#{tkWTgq=+HHTLz7<rdQ&%f9Ji~ix|Ryu
zL3ru03Uf$58)74|=|9$?Q9YrOR0yQY4C>+lWRu%gKX3Bs(-Jk{XuKBWt?#&{TnC^)
zNjGkb)P$pTrIOewO&I<zMdIDfgn9}yP1sEnGAk{|9Vr@M#vgz9P&X6U32q)UJet7#
zW6t^Xt}3*5M-9*GTR_$8m9^{`GGIj~y8BpFV1&}W_g1V0yb8LL<Wa8y3rqN82b_qo
z{erLW{5=a0ydKSTd8-bV+M@vhZt}o=^Zne*N(;CU(lW~NTn+4BEER?AmVxbe&F)f5
zEMQSZt>a6)D#$3PCW{n{!*Y{!m|C(0JbnVDB040<mA5;<6DSJgkvd-LE(@sfz^!I<
zD+4t=)I(@DKRj|eW6r{50jsgwx^;q-U{I{-T*nXx{0{&C|Njh^cQn;+9LKpRd#~*6
za^36RYp?tLSS2K76on)eg%XkyrG(71lr7RCNwj<)l}IWptIXnOkL>;P@B6&ZbKcK6
z&v`%Zmx{rzIYx;o2zP3d`Pb#aTC=4j=hr%B%`7xv<zNcMc^Z?)?#MxYZ`!2F_#9?h
zb<2Zq5`ZYh5MK|H0XdpMHp`81tovct0rqPEIWcE#Rof)NSpC>Gi0H@eu3&2#(g55~
zQ!actunhtvFSg$aX~Fi9DXy$XF;Gr2xD>lp4Bk{q32<Df!uIQ9W_GCzXuEn_`dF7R
zI7a;^9=4i{%{)@;uK#EPJ)TLWi`|0Io>;S2!}>AKp4odTanTrFwAV}&atnYIsY^`$
zZ7H5Bz_2u=8$$$71N!@w7p_xyZ>N=&;6GNV2BgzQu>X7ffJQSHw8=TdoEyx+&+xr`
z5?y8p%zoV$(@7j)W?0kudL|Vs=dj4!wP65N@83ENH*A6a?VW!Ff4;&pA6Crz*cpI!
z?%_y>N>;G@Kx;WsTa8VzMDkSR>ci2mUVC~b2*9j<8646YF#gBq&hxD5L2E2)VU!y)
zG%Q|9FfD4uUg?R%o4D!$P4Wbb9UBwq=?o>4w{~H_zTVN0danx%7O9&nAJ(vmVB7wr
z+CHqkAgmxlNf(4NZn#o^tzZmZO>tAX0n8RPCz~eg!1i|1)Ts3`X1PzkWbE1yW-MQ8
zf-&iUo!g`FyPQkdS|3a3zKv1rgx^}5OOQ5<6klWU7Fxu9sD4&*ikZY}Z;m>KjA_AA
zwY7|;#{%Z8zV)AW>NK`pAjB#BxE3gDo|l;$n#bsVRfn;F87wsYE8Bq~IuL~YkIz1t
z$JY0n`#Kz$!$KZsZQVFQhn%PO&XEu1H}A=CU2<K(n8Vuq4$ja(QjvBf;m17oHTAPQ
zF>nbxe$Mi{&qW%PdB3f~)fcd#kbz#K{1wdX%EOcLJT%zuo&Uq@<pMSr5_D{QaSd}K
zL|wX+MFnd@>BP|!i`a5!p@f<N6D+9*WyR}I!KXrS)PDC8mc}Ev;&+`HmK$5n+|1Mj
zJ%ew0j6=)V>nE4T$nylKxW1Z`*g=6e-Ifx+GFPzpgaQ<GffYhxXA&q<6c}^}Yw_S-
z!vZ`c({cGNa6LM%?$J>)pw5B%gvaaHmKguTzQbE#?D8(n9j`TD@Lxw`s|geE5i8|(
zwsFAEQjK~~VGZE&%;MZ($_#!rDI$j^x!`e3n%~J#5-6VE@y^tf0ILe$dS`Wbfq7Q4
zW^O<oScA3dO0!tNw9O&EW*<K^$o@X~%uOB61_ZvUUuT6AyRGKVKNo<w^w8}-y=u@}
zo4$QLatmw`_3BSk6@o01-k?T+8tDF~b!&yl4mWdsI^W~M@HgM1h{~k~g;iO~<x3n;
zE8Z!5=e#I9XQFV9mJy+IfE4I4&jnEy6OVqoi9^xXq!5YIM3_0tW9g#63)j5JuS|R-
zps6A7a|442w#!Np_kkZG9rDF&vZX*uKITk>JP{^?pSL+(7l1iG3l<kPSt!KbzhIRj
zg1Fv37vmX0NE|z_N&2?gD@#ABD`-Ucu-%JWJxmxlK8_+Asshv{W<3r&N(4Q{<mG;O
zQTW3<{>SR6B8Wr9w>OnUP}T8JSQ{0CxYHb^A3zx*)1IPBm>Mk6&4WL5Y=iE_kq5D3
zD)3FHTkh1vrvB+m3g?(4jFXG{-JcQRsQS<L(nfW_R%)2J6lDO0D)&E*PzRH@u2tic
zBskCQcbylL1GCSIr-<$vFwkEU$!t#sgD~IQ@51FF#8$Q|)szCAQo32SixiNKpHrOu
zssO7s-=3)PQ{g|Mq-y(6D#TT@`01%CfxwMBe<T;E;KBH%>6=Ld^>hu+mFvpza^|ic
z<vR^b)5I9wQ*?OWY;JaOP6Zx!zMjj9r^7qP3gtw9ZQ$1*wtePC1ku(s!d;>k+(}H?
zXDX%($rle-h`d*Wo{*hY$#=BiZe2vS*PtHAk-ARIbCTd}jQlym4=wncD`q&^VgSi3
zo<%_>8bGXbsj;cnf=SaJuNUn`(Cx0{w6>EB$5m$%z65H)f{22>$6pgT75Y=UMVSId
z2a2uNo9HlICiRzn2!p9J@}^%uQ((^?2mQMPG#L1;pUpiCu;HziDx{<dso+~IRZNA;
zbT0aVT2nZgSG0>;PZQ$LXUK5`Qh+pTn^zWV2F|JC%(E*L@Ve*`v0s4%_J33Rj;okM
zdb&`@!A)N;yHkU4iYk06an@Q$GY8ht<STX=WSFh@^J@H~2)P>_qZj(kfmiIiK5vu;
zY@0S*PGHEv$I%CgubC{sW`R+5OM?WTE;eC<QQM%bI>8Dpn8SR{J9@(dHE^UIey7ea
z1pjGm@Eol-hmvEz+21XwLZHP6yGa5kJn?HIBwaCwPRD!XWSR=R{3zFPB$Npn_y5id
z-^^J<2rFK9Qv%03S7yJzo5Y58%<pDYm_e4PczND61+Z^u)=F7_hb?J;E;7N)fH}JL
zW<mL8zALRp{yqJ8+v^``+{hHFM;;y#9+if9mXG6&>i_UFOncI77^a{v$Ifn@C;=Oa
zPR7x%7V(6nZ3U(807ehKxO>u54EWw8vB&zZ;nBROBxxo9Dc&+GQoh2l?Tj0H$u1_8
zGZA=;_c8_r$w7@#PXu66pr_Q^h8bm^!5v0Z7_dDsC;j{`UJ%OTOzCT2MjN_p2VOol
zfzac9-EprtAmc+x?AQu3dL@34C!^jN{IeZ*6(+KQ|Hqwrg#*lJuYxI8#DWnFrsrM_
zXxQwx6<@o)TxL|JonNx1ZUidVs~(;hS;Y=qZ+DNfU`DEe5mi}74dL5M9SN4vc`V2e
z)0JpvLguLq*1ksu@TzyKRr8H$tUBXIiNkRwWYjW+OlI|g9yEG1GH)1bU{^UiyS#x9
z6n5ttSn30D%h|p{%|2|dD7LZ2Xj9L#_4P{EgLFm=v#oP8)|Svhew4nBha3+Kc3#qj
zhV5AoH$IeO`o4|t@|D(ca|Y+wn*+L_vExf^iBbj5<@S!huYC<yd8;pL`B4YH7)M4t
z{n~)1TlMYWd%uQ%vwn5?rKS#CajZ<BT<gTGmN+?oHLu~NqV&s6+1e0J(tAsL*@x5L
zWv&>=uH#0kRJYTj+VDZ=iVLlN0DqwEMt+gKj^D4?r*I-!3oeR@hMdkE#wi84T{m1d
z@B-iXwrpN4P-;)y3&!KP=AY3$DauTU_42otrDQrdbDfX;=sJbp5UdP1{FVt_R=Mop
zB}RuG%Bug)asR`KbyWoJ0A{4-o=<DYp+WaGHImSq8T_B0p~y8;0#eeu^q)SJ1|M6_
zk;i@J@CtLIvrO77sOM)}(ftop=<~Ywl|x|x_oxu*>fOPLT!s~Xt?s8nX!)^=ibIQd
z!1-rU%@^4a2#3^sAJhcfIiVv}Rm*tT*ZIt^om-IWtd_+uMNK$1=DOYb<tlz%;{AJe
zcXq_3*_Pz!LjlUOiA2%rb-XfRL`#B;6WQ5&Dn*r(fjOH$4qaeEPW-)*eSf)7_wIzq
zYF;u-9J#dj{1ayMI-@2gb%F;u`0Oo84bT9C!WY{vPZQAG_WkO=Mfg#$7b7^TlLQXs
zQDr52Sdranra)nP0Tlbl*lw3S2@1a*Ehqe7L;hDZwb=><k>z~0X47W>4+WE-B%Iue
zCK)*EA6a2kv_`N}IHV4T`uHXj$Q($_{vToewFnaN!QWn4RfFBDv`>dcxKJy*-M)%Y
zF;pQM5g1vh2ChPvL=#nc&|tC5<52f)sO-MV{D8L_{7b0b`}`OmN|%4&dB;x@Nt8z0
zcj~Ia+(3~&8skS4GZQV#LTOZ*`M#`QS`A7sg`{|ZAeuG`%-3d@LymSz_og;=$Nu1f
zl;=VySV}+Yje|U5v?L|^8LC11PM20WOayW66}l=?u7D)fL%J=`s=)*GywZ|!QN*=>
zy@*6tLiNEVzEkaLu=j<K-Lv=N=$1!>uF)rDbm-2j)YC`Q;YY^(H*(J<5OHey$%7NB
zD2c(W<19;p_}Jh5x2mO(&_&0GPn6Y=VsC6^E}sU-49!pUugM@RUTT^$p^m5;JI<6C
zk-==5ov`>s4n5_!7;?om&{(d`;L;-s{3jCD_<BeljpM#i2T~{~$1yh7jY<XG+@%}`
zEk$&{$n!WCnTnK$x*t^0X%O4g+p`j*gfe;e+`71hh8nt6-)?uOLz-_`=dS@}^jH3E
zc;q)43cMB~yH=_N(e%@W6BeqdlDT}s`y3rv{GIa()Y5^bH{VHPSw!T`@l^W(lNNFl
zcM;R>)P*Qh4@Ij<HN<nV^Qg6p7Rm_usqK=d4+@JJ6T8$&sLVn0Pw6==bg=lM1@W38
zoIfPhe`tpWx@h;DH(=ABH|TCS7iJ70y|V&GjmhZYufG|V|LBObf~#!rX$BnOP#JgL
zAfr3-Ug8#}bY%57GRuj)IWzpK3}>S$$S(N5l$0GbbTvEss-lo7?Avec5c8FSSYkzU
z{&G@LgstJ>pM9oa*xw?YT|+_fUlW_#)yasGV!g(H!wl@0Oy6XNQqWPJX`11P8u~DC
zR$fBJ9E7B{1_||$5hLJEMSqYA+L>lL=W*E_UW|Nyfz~z9P30Fc562adRqY-6hxg`C
zufmnKx0{5#3y2jxqcVtI$`FWZG>1~JEuIb0>WH`Op+t$3IPw(ky)cf<;l_`D<vj#7
zBoOYJ;k#WB-6+W_`J8MHuHp0p^KPn0-P$=d{0#>x;CI@1wA~!`rU~=i%2P%eaha>U
z&P>Q(Pe%UakQq$ysaIxqD<XEEexAoarf{d2*!cVB&0siFt8PGC0kt=#8*!O@$2)c=
zSrggJfb+M^NUf_JQc`wvr(Eg8ZVFWrv|~4S#bVYj3ukG>a1~GC@fyd(AOGfM<uZj}
zo;Ey4Mgl3Mb!yhWp2g$>lC-%K01D0+(msiZA-L!x7QnTHS)FHhVHW^ka+G4DnF^!)
zxfEj6><ZQz%+GB|#h}l|Um+w<02$=w%*VW6!v=+0pG;dafIDk<VRslWLJ}J)0r~6L
zV6Yfv(8~nmV=Jxaq&QLXA%W4Of7Y>yfT0wdIAh>mozcis+ky(+YHXS}{jz!bRjjX#
zU?II=sOUZcUC4fwEG@K-og7S%`Z&4y-uC-B1$3<AKR-rG$5^jn7Oqmx(iB6;DUQBj
zNm|1H<$p@s=DmuwcXjG#oiTvjm+LM6lb*$w`}fGkhOA&G^}^<xaedgnQ#~InCh;8&
zsduCkm$AzG3qH1j`cS!rGTXH0KfLpu&_rnY61E}mFg({+53=9!%pcp)i_`9TY}l+U
zVkj>%H>_3{#7W-bp@J>=5R>coe;$ii)n#w4D<oa;3#8o6o2|mj+;WAMhZnGsA0gz>
zR2?{#u)9isR{|E^SI3o{zJPgWP<pm)a%d>>xcWZjBUbZQ`E&od1#Gv_+#c=I+Q4f1
z!Rc0ABldaEs;z(20_MMunfu<L7ECQ;&+mzJU{cWq6UJ{Au(p}OMa4r}u#<b1qpZFM
zJ6q6EBPqLxtq?z?KkuT$?oZp?nzsJImfwC0uYR$Jo#8VLQ1qZfDVJgYtF-}aW@&#P
zYseBdyY|83$X^;L8l}iP{2aoLWM5xz@L9&L);+l7;YS0<(%JAo_eQZaucjfdq!nx`
zf3}--d2`R3hVfUrOkfYzG`)5Wtzz5*9|Nr7sBoV$rDKvfh3#Y$*>^c)9ZNdVq^%%B
zg^{P*l;h{8vCp1P)7mmjaQ(g0h|~#9;5o3x?}qOTHn)AReUJ<@40{$cq;e?0I(yr6
za$**XQb}_tGa*3vl6baVHyOxnma(LmdF(=rjqQ9m3n)BpCDbdB!S-~PN}b^%Cb1H=
zeyNWYP6l^<f9<aUr)(lZ_i-&_{7cU-%=m5rLEf=-+Ycnrh!7GEU0=aE8qyvbNV9`>
z>)gwFX%g&_^DCbhU&o3fs9N_{I3UVc!THuDbzr7NmJMk#!D|DD`BDyUxN>;hTxyf2
z0$E>mDV$^mqa*Sfkv6<Q6fv}!^-=>SDt&tVBLM{1?1Ua2<_C9H^?{~8MDQB2w$nFc
z1-fGMp^^6j@cZb>vD^Mc=v~cuAk)MKy>5n%1VbUfX~%Z#Vk3f0-0S{{#I4XVbbVWD
zhcNt*P>EtZQiVSy*_moV9AK3nnB$ry3OPHu+-DA`f=vKt(50(f5dKFXMkP@kIQC`x
zo5`v|?|ZDE?K2N>+ZH|iP$&WG{EyiWZt_*Vomi5D3_k=_hE?=VOMy__yS}zw6<9RC
zx2q>e01~Ap2n#1<;qLmD{EvTCU@QN??#5w3Adct%jpdey)s5W)C9JBj;uf91aZwl&
zwyL`93E$+u$=b8E7OI;&=jNijt|++qG-f8VE5Vp&Pg(tDewX3gndbuHK>hYEr{|e6
zl-v0oB^eOm<V^HWFF^^&baoA#J)sIxi5=ogi<{i7zxCB|11V_n6VW*cYCswJk~lc2
z20B{jMK_{lAm1nT5K)x`e)oQaDk_s;KE?HbVYnO=(F-r#kRXG6cY!}KTLUV8ohu)!
zm4_hbPY>=3YQn%N$7PS>6gZN$OT0x%5w4Jz9rj<QLTZJYih~&y5}!62X(uWHi)#>9
z$!Qu8n{v%<!)XxBNH$kxR)Hgg2AaZdI{4l`W7$4Phe9@WkHAn>m^1jD&LN-$vwsUG
z#3Qu9lz-vG(QzWUL<lL|f2sw<n=U(7&2?cexMf@GK6Pj?np^hV+{Zn)TblBz`taXF
ziz^yMBoJ=s;^8#chMZ^5gJz5kVYbWfXVHKL><g?+_a|xt^8e2f+>F8RPITbZKQc5*
zx1Q*%)PmNvkH&GA8L&9~^I2FO1=jQ(uG<r|KqX7y)%9Hf+-&g%S)Q73Zh|i~cZLSn
z3Z~PVcbdY%x#Oyy#hM`Sb0md7jS2@iM?K>;%pgDYrkwLLO<4T$N$lJz8N`j<q>1BZ
z@bw$+eQ>`foIR<R_volPd@om4XSr$)r{7xfvXxNa$tlSVi90G#pd;HOG-VE}OS0E9
z-jbmxC4G3$D+S>6eRqsOwg4VlqQcJz4G>%qEq(n{8iuI<jxrb)P+Fcb#KTSkm)C+N
zubzm)V9#|2nyLki{nx8-_R!|8d?VbsN1h+zN+a0%#?7Ho$ktipwkp)tvtNlWW`!7c
zFj}~~$*o>aKRe2l!G>MlKsJ01V-Ztqz%<PvwW|~F|EdVd@0kd`cbYNf=HEAj%FUoC
z{AbBjzdY2c2S0I^?85~WpAXLKn1LDRWd~taIUw4&SGy?A;ET4I_k5q5g4NeAk0kx1
zz*0i3af7~s4~k~n45)4L?0oVjXo-WTLGiYh1Sa&n{aD!01ArLWeXb{JL_oQt(zZK;
zfJ`L!GASzpyzHytlKvtHpAR1?`EQN|rI&1@SleI_mwS+~v4tPLiT-k{f6t1dH14I2
zxG><U;?BUQ1TGlLlv1`6XG1l7hgeerH@Wp+xzbC&EwC%-2z^<B4Piol@}yhF&{KZk
z8r7Nr{l@$3PRz5Sp2VLl2dj)AntiZQU2zTL-)k(23Rsa3r{w31c|*AA$eVsXbRIkR
zFsqVi!HO<-Y@6J#Z3x`vV|kTPQ<(p7(B!#aEXb?bd1U6C0TenL(o>HOV)ocj;p-3<
zMEL8H{QI*$u(}yF-S6taR!`qH&X#6DOZ%4t6D0J3y~O!x&v+H~$GG<$XDb0&ag<mk
z2kF7db~XR`+Z8yQ-nzZ}0|HV$Zg=rwi!QjPD+{o^YQ_t^4LG{46HwO3mm(%ZU0BcX
zPJTDjgWs^V^&L+npx_nzYu_H|0J0QLI1x91$K2Vf=3Gob9si!4E)>>*k;5K4^YcgW
z<e2XCfC&O3$bMoRiq!_!Xg}Kh!;?5u;Hg8lyI9aIIo8>4giW3eo@uchoyMD6-iCJ8
zv!J`9W<Q!Ewcuvf?hjF%vv>>sP<P#r6&(ohi95)m1><j<KJtjq<9u0{dLGi)5Wi}8
zziS*FF8+}yVMs0F<($TZ0r4%U@si8oFCuiXS_+iul3B)U|79CYC~ZXvOte#v^J(z?
zR4}5euHuLszChc@j)b#E(%B7Z0LjOXC>pQhZJ)k19xUNN?WWo~3r$oY?!S6np3a2Q
zLemR9bhyyFp#37Lr>Ni{qkC&^?<PM+y=^};z>SjD?LV*xQDHXv<5)oy0ePw{U6=mE
ziv-Ns?k)vsg8m7DsznV8%5th^7xm>wPf|XwT>MUfM-l4Y9dc|)(O_faK)e7t#Zgvk
zphbZgm!5rRQ@5ar;7XUIIzhxY5PM)Mj|?{?ZW9a?*wHnoX|r$@VH9(;?$-@@GW?z@
zX0dAEK=W)4r?_%Okk8$BH%y;tfR#&zU{5v|ijj|r)WpP4d=5$6(MkgzWwhH`-{C>i
zF7eC#8{#NhvfAErmIQ7SD_{S<;zMf%5^I8k66lA2nwnK938W?!{bHFn^KpHTjGK`{
z;$Qat(Z5E5F-G0OeM}II|2NR_Q%x4_AyMyF29ludY;C#29U*jYDqxwnS`K+zk*?Q<
zl3;mvLC6kH5#;2Z)p&tZ0WC)HYrjY*!I7JHOvlnhQDHG_&NlB&Zkus2-`P(BLo3II
zOFP7oEn8_Sv?!q~1J&_Ac4@$>QO?dKAqnJOT=?sbvkE#q|GsVhj|SjdP2zuUNFw!P
zXM($jRZ)mNM@sV}GL)EpvS8(sL3{}b`%2@~5b3D!s}Bz-;A;5g<vs~Hbd~cS^L}j-
zigVt`V{~dlq3e?eQ6}=p(Dyz)uvY`=M)0!zcu0kv{t1dvehTQjzXfyiCU1?JJf;4=
zLW8%wqVD2_ifFi>U|YaTMMC^zRNZJg)V607s*flk>t|PPHh!g|%FsHT<(U?I8hobx
zSW^XMnDFjzIYUFb9T6K=OWI&od$src8C4|a^Vz*_ore6?R0vmnbfNk7aCcxa5#4yP
zOmsX#N8`8Jg6x;|K<UcYQup6#h<$yDLpYs|SiOTexeE-yiih);)<1Pr&g=c&DU*(3
z92Qebju=61!*Z{~5DC@IUg&P!JSTYskNHh9fx5;%&-pS9bUKOk?fp?2a;p$JA~nf?
z1NScMD&9**;V17#me6R3C*DwKmp#DY7jiM|<z!Us9UWL<Kt;nzMq9URGlkD_m0dDj
zWMr3GBBv}&LC%%Bt&?@8z{qb{Ay<)6<k)_Fh6@RKtcAbOKV$||ZdS4Lo@68xJA*MF
zB%*I`MJ<wA%wV8X_2f7JML@d0(m>fSt|qV>C?kLW6JH{g&7n41GMLm)LfLXp-ag||
zK-`U_sr!4)VM;)iBwMeJ0(T4CSQ?Q=am-K7I=Y!d&JnlU+}G4l;b^N4nO_{mC+9al
zw=xHBc2Nm`DI!u2YAZ}B7DQh}-c+@Sn}fmVNoCvHDrmj>`?-dXT&VQ+-;szWGkCza
zy(DX02{n8R%6@;G1?e%UD!0PS;AS)Z*mrkDBx=jKR`+lbpCSt}UW=H)r-O}etZ;dx
zO1ew!7#+r+mk}rU3Qgfk(#{zhRXHS8V`Ok8ydIxVrx3+-Orf3lA~w!I8tGnmo=&5F
z$I^MYX71ygT)8)ak!>Y`79)JuYVP-AhjtjSeAo$KoW^UKa#;*%olR-3xjTZr{v10_
zevE;_%ICAKqr&L)*_^HtmMQGS?wUQ$)eJC}Wuq=c3!*_0RePqAX)Hl@+m3yMCXimX
zJoL+vAANbzS;cYvA11Rjd2g1-1UQ{Tml=<_k)vy#WMI`lY^fzP<*KnUte*~e{*s#m
z4Y8?&eZ24w`}b(LPc+a7o<-eGt*d84S*JJ>zjse#YE?{pSBnf`X8uvP@&ExDp0mU(
zSf;T9oww$arVXIT=9Lk?n+b)^<@xzCO<^-<hKhy^4WKI^z}l006)$f6DPH_z99uK9
zT{4W*hX;1=L<d<G@#vuJhxUo1nA8y?6RjRSKnFIf>)b4EbuJ$4_Y7l;MmAEH4fNo!
z<x0^Rk7@kl#)Yd5s{diH8+)v}@9Kj6ZkfMhPUHC2i`3RwsR68^#NB{xO$T1vHaz{D
zJ%o#O?SE9P`v(gta94cmtph%%FDb^y{lz1VQo~Ba`Y`W0{`k5kZD4t!i7_+v;VP$B
z(i(pDV5O{hE{laWbj#Lj==A);ixl@e3G;VheAUy}j9zO&8RqzL<VGtV(8_M?n%9Y?
zbtm7pp=-fYN6YgG>y0?Cn->Qqp&c9J6?)5GOot}Y&9g!R^|)-1#wXsoR?Oe?Znv){
z9ekc_aiwWj;}4?WOZPhc#47lH95XJZ!P=`ek8Kw!@zvp|$7UKW7+<PnqtE8QHufj1
zs7>T0emPqyq|K@sdn=`}x8oBPN<iZ?bvz&c>s#L)_^=7<n~uI0xR(kyuV!xP*1d**
zgJ4lJizcjpVMW{IvnDhIaLD{7reMn6Uc^DkCM?oX{(0g!1;(qHs&^#iV@Ux`<I$uh
ztZ9z#ez61v{s#a6|Njh^cRbZ!7{@Dn?>+CeF4uPL@qLU?A|a!MqNOCO(jp`(q=W`i
zqBMxe$j=j5WmH7TrjoLfy?*!K^E$8dI?r>S^Z9(<PoB+;?0Hp42z;8K>p%X9XrAlH
zI%%&4Tf66qSBy#tp531Xw~T!vE_;N{S6@^G(E>F)-{Y0Uj*FC$%G7q^%c~fB-&!hc
ztIxJqHAF)8m3nwrSO;N${`V78W-3(Z|2q`_w1(K}JS#MO=`)cqbUZ-SK?PEj-Bou>
z)e%3V{2zU2=_LNKvg>i*Q3iuo1^pv88;G~%c8`fIUkGLnhpC!B6sX<#c%n__9WguV
z@+ETRE8*3HZB$DN4BtJAo^P9pZ}t_&cgDUE0$--wsF_L-awmb|+SN9q^rldmlSm&?
zm7aI#;i@8h=AmAF4j+lS4_~a(Ee8lq&7$oQdlg|Uxr6lc^CzNcVtBGXYmn#*W*^LI
zQh>|<@#o&W+(CT#p6u@^H%yeCIgvW4s{pMTJjqGEodlnM@_OCJ5h5{{wah(N9>!FI
zQz!O+Axi%>?>8v;L6Ft$lN!Y3!7WkUUoNei@NLTpvA|JciThBV$_+Viz3D&By4pk7
z<hzCnvHvDk)Mq3^c;w*J6$Q?PjDEspxz6m;^>Ko2zv#xBNo25hs@!r628ni477;$p
zDZ<^A)^SOI3^c|M4<2?75nZy;i4s-Qgthv1DVsYakWbo!%{NB~;kf3SQ=v1&;i75z
zc104<-1xViiTXjvxWrDE?wTdI|9F1WDwTyVyF2r0vqy>Pu^EG3q4Pvh?fOjM7FjUV
zC>Swc93$4(#5GGA7m33KF)>zeWI*GU=O8s{oJdt{E#K?8LNvurG`G%6Lpp1Bn3nDo
z5j4EY{!?$A*s&y4(XJ;A-ii{3Et{r^AoA58>lz#3UH)dyy7N-tMf3wx+zfGFN;gev
zY7;p4ctz@ekOb|177>LLv&06zkByfG7@@&y=I9tz5~`PXg?~(+Ct{al3r;YzfaZ}i
zf*-F-fQfx;U)}5?VSg{`?xTZjF!jEeU7A?}5_dbMy4_eI0vtD+`m=L_aABszj!WWT
z;l1x?)TwoX^6-Ri#w<7RFoo*cii(2@-=n27t{dUR&Dq60qI}^0k$23wQVdQ<-txX7
z$p9nfchdh1@<VrVpt@s-7<@_-$dwmhg0K@QCz`(rg3u*<&KgTG7&RDh)g@TK+E8aX
ziCqL79fa4GG{rzRJMbJWmkplE53er;i-G4Hk!1m5;AR{CW!|0>nqDoQ9ut!UPsR)C
zET_ak|3BM^ViO+7Q?%Kk!6*X@Gx-~Y2E<@njZu532_Kw_-1(a-L4uPe7hO9phy$k^
zUwIy*07UNU)zs=HLsEO!k1K~H;F(Wp;Ep9h_|cNY`xxcH!}R`xoNP(R%suW~Dk}m(
z4<E~KZ&QTR)QGF2Cen}tRe>F+#ehv|{!%%UGAPQG7<nkl!s;K#9f};1aH=3cwQnyK
zHWqHkUJoXLioM(er*>&*aW&CD-A~t%3J(?qUODiOQnMTUB@4yxQmUUBYeMnQk1Chh
z6@b~vq9XAk86rD*Cv20nfb-k}IXqAaJmn^YI*jCjD`V5G_e0unLn7I7&Q1l!n*Efl
znH6EF{q><bDh>SDlD|biQ3E1=$SZD02~OqrAL#Pb1us?JV><6OVdmF1=06R}@Wrr%
zp=7@vY<;~mri4WY($szKlAlsxbuL*jSw|m6Iwgbe$LT^JC&f-YN)0wydORW(=|h`{
zQ~%^<1Gx6+d!Ve52HcBDD{*hphvqq-K3*+j(CV&K*4e8GuKfErT0``~NOk|aV44~1
zy>@Y6l|c&#nYztcxAY+6jTFcFEdZ@o>~CbwYJux$lZ=hAE~Jpz8N*mCK=Ym0it`&S
z7(XGB^vYWYwsY0%h3&8eA)l@grxq=ce<A;FSyT)7X$CUNhpeDq>uhTFT`f?X7`)!j
zqz2{@R#s}nX7I{VvXRu#f_?QxQvDH1u(&0~)v|3faL%WG;fT|OM<*7yoBtw#?H7p;
zWD#pH9myKHyITVULxv6zoMLeCoZ3fy32WePl4CJ;QUjs5L?>+nZWyyT%o{wi83gYg
zd1Amyg%5^PYW*gQ#C_j|`iti`LtgE`c*S)Jh+e)uc$u%gIx@PGB0OgWW&NR7x#{m^
ztWD*1IJR0X#C4>K>ShHze*Z1{gvx;pM0A8lu;PfH%1!E1OQ38^y}tNI7HCGK7TIMU
zJX|(Ib6vH7*SFm6eVCU7hSXc-U#s}hRpLZKiK7J^DO3=ZbrA(~9qxSPr-E3M7UAxa
zZw~z?y(Qn41i+Hr_0FTeLfDnRH~u!KIW+cKE;9e%fpeuNKcv4BM(Z7|X2qufZ10%1
zb4IYj+!ZB%B}ox1zRRf8*-HQm!;c5sa3kD!Gi@(tB7%t?<dv0PGw|i|h!EZ~Pvk5%
zh=aNauD)tve>!Cf@8`Qj%dd_SL9Gia_Zda-yl<kEub?S>n2Y{aCsa$6bk8)#wg}@b
z>H*U$HYOnanK(Z)`n5V%ApP|C4PoT}wmIoeoH4MveYqRc@uxakM14fZM;L8O@*>qc
zjo{qLBaioAnyo&6gLNXqKp4-Zma1`T7(tBTqvtlim#d#wPd#ZQ31hk1#wNAvhETfG
zMPOUk25hs;6K0bU#>+gR^{>|q!1wLnJnv8jTsZW-wM<(Wi=_ohctQ=}rb~BMM;8;W
zUAlHM#7h`8YAU&Nr}d$yY~P1Y4p!_^&y%uwAdF7R3N3Oc^}(I{dgmK4cD&Ei`|ayS
z5!|w?&di=sAHH{Mi72vjV)M+|q}bCU$S?lVlY#yZti^nPw~lb3#wSUsU@lSYN%`+J
z=;}eIvHRENLLOW*IURPpLKMy1tH>f>bwO`v(;2AXMUTfVHUk&LFk;5%;j<WBxcBt#
z){fhJ`2GC2FsH9L=6aOxAPjV&!StQp%d`B5n~DwE_DG=e_iZ}j|7bv|*$32p0{FH|
ziTox=5(8rY+|Mkd0jEotq`AEyUI^J^?U5;k<r{n|&0=ZL^!f<7iV(uQyW7gY4@skB
zURm3@Jv2zYLm5>v7Dl5{X)i)X7UPTrDksfoaA`yBzV{%4qL=SHS?-d>;IPyleY!re
z|EJ;qVuvWk$2g>ZzfD5%_sLgT<Y>VC?nUgqV`5nA!SaLgAQ?Z3iF}k$qQS^u$)a$&
zI5x6tF3K3oVYJg9J|hDfJhXD%WYsExDXlLG3xwn`q}V-{>P7?Uqo0D-d8JT1{E1@w
zKY481S0(r=h6X=oPgYlZOJhwUdBn0)0rlM6y>7js0Y}i*$;5IQ<Uai?-tLtmDw_>f
zp61pCX(|2#5s9++ytRe$Iz<Uzp0Z^cKB5ckrdLzBtw{K^<znj}e+sh1c*{|{b>U@0
zL?&&8gz*o&xnAokBh$Igdq+L=U@_1zVt)x4o$S;DZci!W$LPF@z+ZasJRrleAwUkr
z77rC>rmEl>zOk0{czs~yT65HvlSli6rsRiYDr$B9IofGp0L#x-9dz5}(WPE~?OYNS
z$DZkSB+nYa^Gd%9QfCy<YsI{l^o5FMnTcHwstjRh<E#y%s3P_s=ht1Fry>IvOPXV%
z5ga_$r#h6Yh-PMDXBB@_(Yz>;*yd*p&fgbL=E*DJeA5g2_UBY|+~HFA&e#N;Cqwf*
z5|yy)jW*|Lb1D`(pJBSgYYNeq*P>{HN?21CD@T5yf}3CV)H(E-!YhroPtD>KbY&ZK
zy7XBYf3MjN``<HzZ^1gc+J+R|mD5!x-$OyWfi&qXCju<=z8G;CQ}D}dYq-p7CA@7V
z&agg3z!Ph=xl$Plw(b6-!E;s-6V^TjNtn=eDM#VD%}*tarI|%NmQz5VRQ0@X!2o@C
zsdl%oD`DBZK#Oao99AahYW}(d@V1vh%UVteGqcV<th6H|yNkWxNGSmGS_oXdqllLC
z?qe3cvdFkItZ1MXAfvD4q{*5BhMl|o=HR3>ex&(P_t4j+ZFhL3I4EGqdepB9OG#Yz
z=8n>&pL1(caYF2xJaXzA1eeu_A!id)V^{{j#^T1ouzES<eqd0y7%GCl+Z^h{P6Gt2
zjfy$Wk`dqOPXzl2;jwFH_ar+23|2CkYs!*wFs=8-tvCVHsPA@HmjK9(PnGi9O2QYK
z@b>8hAMWRHzqh@XfW4a!Z2faW7Wt1kvGHB!#l0i<6fas6U~RG9(&s3H>Y{E({0F%)
zxTj3XuEq=kMz3TYsF6a4+v30eaC6}g2l47B24-+@+Cf?0S`sBi6(bgNIB=-;8t0KG
zru2NYcG$gN98;!G_6y%(NBj9<Up7fo(B=E5C38&-2PO8tyfn&&%|Bj-H(oITW6$+8
z(_Nw%9vfp-9K(jbB|STfmW?5pI;q}iCW1~PoVp<g*--K9L;mce#=sMn5`E1~7*iX6
z#&3yd!{q_3BI|x5`0rqG`7;k8jC-v5ENYky_4Z;C&BX}H28IqxUK7NafNEcx<LoF|
zlP5p)-Vj=q>lCgG3LvN0h}(S?4)ms+TQ9OUghIYj2)7r&|6H4c&T?~N?LPaT%Wn-J
zpVjlx=5~I3cc-f0x+oVK<<;x4*cgDpS;k7^V1CS563snm&5gGgZeJ9o=NhKFm&uvR
z{J0^Z$3Z)l2V*~&RtCE1!wp0I_XP`lm^uIV`Tl5Lyf;qDv-_b3Tb>GuR`&6sm}|~l
zvmGB=?pHMY6Rrp4LR@D=zVYGZrwJQDo*xgIE(WFW>%l_EK$_Y(ADXOgOB?1Cz&97K
z%3Lkfg}sB^BBurU(d&A4HZ!vz-ab?vMsm>w{l5lVk{tPQyLQDzQC=YozF?D-ze<B`
z3GF39+5Fg=7VVrx6~^4zhQ8QmG?4wo_V_)M0DfFrx~b+Nf>X6EH)Q>2a56%+CHlMo
zmV2;AyWJ8+*0qJd<0SfeY+XB<Ll7;6FA#Zu#4zd@-U<Gx1JqAd)Vogvk^Jw%NRqPz
z@*b)#gc2Qi_9ExixVI37rw>nhwMycUhwR72D>{%_wK+tbB8=<FMNQN_(s=l{#k=iC
zbztSm;)EPM2LxOY<E>kl!T3Vf0Y*0+2>-Vbz3HC_o_3EcY3Y{5?N&OGzqjeY%R{;3
zyYr$bl$kKp@gE7-bA(jBJLtgjf%uGaZgD)lCE~Q&6EX_gF4_$2(Sgo{^ShP|B=C=3
zTyklq96nU;d(v@Q2MoGh_tu9=VmnXmyI*PYSQ<ic`!81qss^e*o4u7n?Veo>%_#~v
z*_xxCI-~>M9m1Syax!?%Y3Y97bw$kLwlTHUpn-cspWP{2SyXwwwT(ZCu76?sXn6@V
zaQPT_vXqI0=}*op<3$Pz?wkMTxkdwXqX+fN4J0f#jiF=*E2D#WhU}LMy0G=3@2>|5
zWaPNr7TM*ff|j*c*Yrg7Ku`TWsl-JNBX?O_EsIkz)W#-2^Nk+-C>>Ai5tm2f|4Mf0
zzo#Oj;VaV08GRTEY_vMoE00@uUcL~vTNNW!26;{B^ZanJ$J_sw0<I6_GTo_DMa`-D
z^S@*bAt5+aE6z?4=XdOA`OKh(-OdruZJCXrTA^~U?UW)0QND7{^Qxh>qjtcL86!CM
zrS=$ij1s1?+}+VRs*0~OS|aX$H-?o2ZF6%53Py38HNA{e#aneMw5CoI_+ELwD2VQh
zhiQj*r%qClYro7dlNwVHw$>ewDWzbJz|oZ$X)5l~xa0Huz8ToFwdMDZQ1Fq}U23tY
z3hrVw^Bf2!fL$gdKXHbFgVE<{VZ#(Od6T(+K^UOld;R>OK?>H}>mKEbRl*|6qhcQp
z0vu~p5>t3iK^5(xEPFOZ)G4(pv&jcIBvIyiXcq;)$>vB4pOnWVohf_udI6T3<(2-U
z`-mev8m<0H#$nmjYfKx=fk8zyG|pWKPi>V9j4~#n#)16VLVk1T&b7TfP@stUuP?uN
zXD5TQqrYS-h0NjKoj$g}X$9<@x8q2+ki`1zMp-d-bFlsPT-%JKfR0*|xi*Kz@TmVW
zb<t@6pEASSmo4Q{NTf<J=$$aW`Or}g%>XWb11zbYa(L@X*85!nf_Ox>Q^APtBlQMh
zry`D%k-5yrkK)RYKgBs8yx0%$>szZcIhuse1UgOhV|nrTDQfFxB>?xcIX$asvZ!r*
zR+zfTh0mxj<0tD07|v~(-Qp*M5nt0!vIlVBrQi%ROML>gLk&`oJd(onJCh<y-fSr4
za(M4>wi!g!2sadLki?L4nY&CIS<u$xvqd|r8KjE}ZiqZCj*oYzzcRSPjBmDCm1BS@
zB=<J?2QG=?Ho^EQ;Z`OrT*xTo_(ae1UwPkbzbAr!iv}pRu1t8Aa-+UY&jh$uL-uU(
zrRV9@{k^@)OnARO=<&o|V@Tqq-uq`Mgdv}cPc{-vc=0o3yEv0EY!%<BA7UYh-d8`4
zEhjOdbI!+OeSt=>{dbL7oR<K;AG-KDQh*t^Zuk8CsMin_Kq}^W8bAJKJ??knEi-Oc
zDd7F+U<i-mdty}SdONM2q{orTg2v$rc^S0^@ROqTPr-{1WeTou3AoFOXJTH?Z80%`
zM29KN|HX?GnmPNc*K8Q{!?KU9TpzeDjTY7>@?zG{gbQC+*l~NvxDuC<K2(-Wm7m?l
zi`==()fabjqCweii>PWn_?=d7H%{WkpbEEx!e6+s>$OEp`W8LNbaAgS<L1T8-o#(w
z!8|B@V260r7hM?SU)O)Z%Zr1q@k5C>c~Qh|pd#$3E(E`O|2vbyi;QuZegPNwP;~aD
zZXuH{tk*gFpWn%g;W0x}LFf4KFiZGUSPl&?kQMI@r}ARLCZciYWdS5{C3p*Np+Wo0
zhJO)%cyZk09clWJAPVGciX5Jy>*sf=7?LX=wsD9*RPGi+zDZF}n}<5kyR|*)MLQqL
z^O;oqkru&+XByI9(DgQkIroFsetMtXFKm)OC5i{fhS(lR>A;_b?ic0k0x0aH<@Wf8
z7;+oATRr=(4f;R!X9c|#z-xZ(?1o1qFt2_|CbU!={(Cwqka%5?uKTNVdzqy$)3k@b
z;F>lFylc|l5+;Q1yq5jJWzsmcbJ$uXOdGCDH%WgxDvYvQ+jkd%Eb{qq5Dk9XbWS|p
zc061J>-8&2eKbjEp=a1})<+xePlsxe?ug>z(A23~6*7L$nlX1htPM}IW4#AHis24c
z1v3T>IkY>*G<G~v8=A{Q8;?s#pt**y(txo%lC5Zd3%S}bU4Dk*bWRdG?QeT!ZdbsC
zo?0*2K5eiq@p6AYC529`Z|A2EDx%-B+(ro{9hj&{AX%M|!R^T{w!beZ;ReO3O5SK4
zU{6)Bq{PZ%HW3u?{T2lawtUQIrT2d{KrGwXorFpZO?u%^lrfi6<!sMM8uWZE{rXvh
zjInKXK__3R;3w6W5t976U?ieH!Nnnmcb_Y6n0QD<kG_Lh|K8}rDT(Nwq@Qvq)83U~
z9Hol8<aHXjF6lv}kz_|&4Lz@lt;y*TYPc`tnf);zeMmpldiig<0=_u5eEh&?HEdid
z<@elX0B05#b~DoJ`Du`lzS~qC=axUsS=t(ci)l#p7m5-tfx=nA<LWqadne};M<dYs
zRRqS}N+=L$6MW{NI;L&BuBpD)7(N``eW3dU1uyUSkNz#KjvFWBwx@)e0LyvZ@sK47
zp0TaYF1n$H<?k4@=VDC3zmxw6>t1DCi}Mz|K=-d~rVP)OD`pV)z@1GXPZ_(OOQ@HW
zQZax#OkXpafU&=9&Df-jfA=&&=us8y>CYysX#-UIKNTQ1D5G@h-|^T9x}R)kT$@e-
zc+GQg!7)=AALK}`&si(s-E7!&>nFgr!N8xFwksnGYvjQb7Zh;I+x4C>ia7{nT#r?t
zb4xvc&(ExUIZWD0j=JG$4w{F;xihRO=qOP8L#d5~rPqISl?R!_->Vt9E_5Eb!vx={
zb28ZU<f*#vX>+*7dfzv!RuQN1Wq@I@Bqr1ZOgy0PFS~kV=|!Icau-o^33)M8*chM9
z>R}Gqj#D4me#v9x?tQ_%V!{~CspA}|Z4PNA{a+L4@4J-IJ9ofS0Q+nicm~($oTB+M
zo!U>v<0=uI64ShBV4v(8NavS*Ca#w*bdXT*($bJ=F&DaPh=+(q(D|rE!tKBJvKX@_
z#ILH%j)AfKB}FuVQIo@M!pSmtVso8ju?Y)KJ;MTgPe4cY6FY{xQYi4(MaXiP5fw7@
zU+_~1c+mX2$e~IC2d<odY{kofyno;Jl|-6BP5)Dwu>~<4xnI;yF5QSFJKNK4c9}x9
zcYRp(4pG#vF!(CnumLrV83GN}P2sIuYD9CBFrGEHIzFkp0Y^6L_I$c%0v4=CzM1b6
zLKlW#AwGZBtJAf8Z`k!4!<_ht<pT*pJVkc@zGHE{+Rr=B#@W~yl;&(ae$MjaILp@k
zp~MFC?H7<fdfNyNoV%5EbBYfsM@XIAr5iAOpeA&7#Sl`1F7ytv^I?FZT(OhKMm)hC
z|C8ox2&Wr$4!yPHMG0!M_F=hAc--gEqdhGK@Fv82pEQjJuTd(zig_5&^OfK3RAU1O
zNJ}+c7v;vC^^r@@#ToG&*J$DDGkxI9>?*yj!-diF)c?MkGvQ@+p_OOy`tZTrxBTb@
zPCTu&{5U0=8LNzcu2pC0fnD58FYg9UEPFqj%-YX_i$YN{_A+`9|9+3kj%OU`5<yGi
zbYa7u1b^+I2f7e9uv=K`5(n}Z7(L=1W=G7eS+!Hu1w-Fs2WPKv;LVgbRclu{F(d2V
z^-UEtC>KvTpj^R$BR@D&jh(qMG%E21Zll4>sf2-SUQWy`9PU90UfjN<ak_j&2fPyB
z+n-P5#3xhU-^Qi*uzF_jmvWR2C}V>^g<cnFIyQTY7C)B87m9f(=)hcJU8vI<7c#~e
zI`O#);H&5r&)coq;N>Bv@^6xxJ|~YluG4w$V7p_R!+C9Zv~|NaIYwTj3Vwbm-!FuQ
z-lOtAY1-f@>$kK20WZcCGS5p|(K&MaP{#MaS}?tuqY>@Khi^PseCkmYH=ZjO8Yt6(
z)~c-<r)Bt&$JjpC*;O0^EI*K=E@?sM@Ip7N@MAE`>fbgdNwjOU(oXW$f>?FS2VN5b
zc;&$jZq5%<sH{aqjhJh}CeKy_uQ@@?^zKf)R3d{7)qmSgYiPlBrJn|G1%;6{X@7yr
zH(BIn5;=cRSqpMDc?~dZ6+y|>hZk2zN$91yW28q@3rLE^fkCOFh@UEG4;kqBE~?90
z*+vVf>fL{|mc(#xZfd2tiabsQlJ36@&;l8W1B*&w61aJz`r+1H3izDaIb-Re7Bsa;
zT<xX%;tzYTiK{mhQJMRwQ}nbJJiWpb=l@(98941+d_O8-*5{DI&K=sIqyIr)RaX}8
zy6L1u^D1NM502+Y8tFbIb#lyHl7tHFj}NJCQ^6{)<KL29b>P}-YxgyFGV*yEO{ATt
zqEXTLQI}O6_%Kyh9<okGk9Cvc*?X#ZsAfCgt|}U6Ze^;}oR`C#l{3|0Pv|}(cTKJ=
zRTr3?BxLm_<?#&%bC&;2b=-WjwEuma9>~NHtJA{@cvE4IQQS@q%ovOQ%yC^GI*(=i
zwfLxrMG?iHEr&F4R%W-~K!E||HGLkvSfqr)&$if7#WZo-QSG&heTI;7OZik`6a{DH
z%`X&4Yogn0?e`nRjA4hAoKv`oGUnGYIH#{@VAx-aPKt*K9NKgyC$U=@)eG!RQ;%pM
z=ViX=jx<xi!ixAWZYmhT;$u4*r;f&?eWP+MW{^Q91=bd*;O<;D=1NyJl!(h17@H#C
z=Jam3+NXk-dGc)DcT>?)$9g*b9DskmWNz%B3JR^1Z%UL_!P^e55<Y(cdIZKacD_=<
z|0ut!lGQ0FC+SRUb2f*3uZOCfJ}NlSZ2YuDOc9-g=QFFb%)zul+QO(;8Ec&*uSiYF
z;gMJI4jVq3gVZ}4rO#T*I4PIQ%2`7~M~?+juNiZgEz3yd+($tl%J|$3QyFBmaPGOW
zYz`-4uXnSCC}BeF{fSdb5*W;}?yNXz4u@rvQttXI;&9hv_9!<Ilxbtws{O$n&NW=o
z{p+BB+YBY-i+csIb<@ZiE!!N7PVV6~Rg}jp{<vh@w{*Uc0_9FWb1-MF+ZH-UMiXC(
zowY0{k_#pb%cbb|aXHW;QAfhKby+9DXcmm8iEQ?01t59Ff0Cs0NXm1w0=;|&l;6Pc
zbm|m9CN<dAb5I&jwcT2{62Ad2PIh%1kpb{NKJ_FeUlK>X-#PV=SE@H=x~aX3C4hwx
z(A<|Kj)P8Nw&^|#)$aoqmK~bSAg8hF%<v6SOdWS`|CKjeJsRIHa+J>uj@yy1%~c5F
zWP`(Q`Oh=eg6c_i`EI6g;q^5gA7&vO|72tFqW*7nLzDP5)q5t8k{#+bcR~RF2LJ&7
z{|uLRJk@;^$FFOz;#!&6T=#O9y?*DSBodOyN<zyhr9=`EnUP9c8VDt{(C=%MN~MfQ
z3L&dJ_8yNv&p+pNUT1vH=l$(c@}F_f30(5Q=W2Y!1d=~3zW5+SLdE&bL6v7F@DJ`+
zrpJv<AgFa%Xh*#WiVK?FkSsolpT<PR6jP1CaEW|Z&UQT-OqCu!#W#hg6k)Nk{YGHz
zU@UKICyY#HELtUPr*SA2sx)OA!JhfbJdrd(6p?WvUa@foC$~)oy5|_eLZwF(zlZ>`
zAqRz;Uzo#Ves3x5<2Hm0Q`fv_4SdMVinsaEu?1X%>tAkLkOBM`cS`csYhKiNPV3oV
z!V>-~qcWe~sSm+T5#zr7JZP@1HaDnt1t*jT{u$Y(4|dhl62DA&(B0sYPQ8l+l;pK#
zl&4M)c#eO)u3W>7oNV{z*EDe;`C;*OG3I)ZGByVpN4e2H1(M}gbxt&WV{)@kl`hnj
zsGjPw<wkQQ)+*kqTqvNDpi~69;8#%8O0wfdG8q}p-2yylWa@KZ=sOlPSYcKvN4SwS
zae52w7BBJ*uMmFc%mR5~$6CG$Zq(m(HT29@exy5F^!80Z6O0e3e!il?gVJtGX*!Vv
z(G}w-25AvYpiYhT=04*=-!94<1kMQ|$Ar5R+a;N>QEt&=B!CxX)Ngp!w7L$>CHB;s
zJ!1f6k9%2^2_Kpv@)UGtiJ-H5Wjfc~84#L0>RQF%M^8FKt!r>mR7H+gE#qOpt4}Rl
zPPPIlsI;ETYn6m<D~l`*J*PuoN8)*%L_t(k+jS}0MI3o6m=rz=ro(2w!yWN|h0uZF
zaw12)1kwpfvpcOr2SRrryCG~HYDlI)nUfS!d!Jl7IYfhnkH0g%h>M^Q{q5>|7dIfa
z(jy^-=V|a$v~WWprzrY3@1y>_Mh4YIJAHa*Km!Kr=oMW)61vjE)5s{0Ln>B$nc7P_
zAnuepPgWH}?A{@5!BPcu(ahruPn!<N=MB7Za1}@M+QQL7!HS6Od9?1+2Oanozy5d5
zeF?PXPKI4emJ;geKAXO+LkBz)His_@Nug77r(WfKQbt<W552k1M}r-npH4`pZ9v`Y
zpW1avs3INCg;X0i8Vq@R^B$(kpmH8jib0?n8kYRiIp0WwM~hbHMEhltqbzAx*;jRR
zHsFi7hanx};(3ybUdW?&pU;ekfhIaZ+55fyHXZ7G@BZEVU?ZAukEEuTlhI>dvFFK(
z3`i<02wDG45lxg0zHFmV&<Df$+mV$F5c+XRuclWCdAWf2+Z$A58`UZscAN=``I0}J
z7L-w@`R#T$f)4sP+7Qrd$AV*;k~Rz}Rg|D=?;)~{hV1fW+_Efn;n}MP<|G3(<Pz0U
zxNJg47tbfh#JTCgq>G<g&rWqD@b9SZnOAi5K#rFyB}E_f6k`G_f;5o%ZEcC$vJB*H
z5V)T5(*W)X&)%Mo&_uF3H?{Y=GSKCU7gB61BX~&@x7>PyjN;e*<ug3YKsD`gtjS7a
zNWVPtrN>PRMHG83g*Y(KPMM48_b^j1<h{DFT8@Goq&N+GI2g!6VMB{@tr@5~2NjFF
zq@d!Zj<UWeI<l?*MBp{UpyEwbMv^8Kz0F^-%}J-B1%ZPdYK{O0EPj6*^P{4X58->g
zYqim?g)0)gQvh;z2&+MXRAl_4Ju~Dk1&sxl+cRU>Fzk4DdeM}M-VIru9yTYV$m_8-
zmuK0KG4-k?xrKs0&i(e?R-}%CgZ4gib+iCyPwUsJ`V_?6N#D@Tsft{yCwKCtT7c!Z
zU9Hdkw9uvpSCe{OmCz~v#77T`EPyvbV!3}m8MPG(@2NX0kN6HS?<ba6fcu54PnS1q
zqD{&oA&;(YKtbx*klYOmc<o==6U(E4fP7$gx|BFd#g)C&LM%W4>Tlss)DR}*6*Da$
zf(E0wgd&(0p!{?r@1||4=+Q(Jh^_D;Kjk0!nf+{dD?i_o-K&hsezeKx|05#*qlOv#
zQrMv15Y3ZtN(udP7Zm#aauN4d<&#p@X2YK9UiC34MRY&9>)gMHNnD3m9FSTMkUKM|
z?YCC9g)erT{&xtU7gKTj&kMjpB-+t+Tn71W)6z8f*@eeM_sl5`WAKEtay91M2K4RC
zsDcmuD?Xj-;Fu$cLEoI7{t#OdE!6N^RmfH11+6J8w@v0iirCsrAd90dxa|4Z-EsKr
zs+Lv32{X80JghQmLPA#G^n{N&-p7LV!=9fiHie{&>d)wu2<nY=teJZM2pi?5m^u%e
zK*o{V+uYv^BR(sUEcLLvShXzG;xxqsz7ry%<HrOLA?5llO}B8o%86^Y@KIy%?Z+MH
z0emR$p0`<<ObJfyteIb`G6K8P+|_-WJV=pt;HI2-4Zedv8e^<C0-3Er;a})nXu{eg
zP<!wrZvL3%ALnNXzbg(hXTpi-?K*4cA(s~X^=G*|4afjuKOYowTO}Y5uM<6v=^c2#
zn9N*<q5<eO*_<>!xr#q6{lvE#+l{~2rB!qOoIdy}G>^lsWn5b%_szt&Uc4zZpRZt4
z4^$cpC8RPJ@y_v$%12EH@I$WaY~?-lV5Z6Lc%{k$zU0sKp!Vr7E+Uou34PLq!OJS=
z{&CFXvFCaE<BUh~cJ;W2C)Vy=t>ji1MPm-1mQ~2#I5LKd-;yfPtYU%1y5BEer_ADt
z_bMLny_vwzz8my=ZOnovhZsra^jSRJM<=_iXbQhN_q;*9k_q`v$3Axn&f-c`1=;<1
zGx&<UpZ^Xv6P7yNgx<@};<pP$qk3M<;X;R_F{2L*Ajv13D)F4f2cNpkZ0%jZSN11x
ze|2F1SM%e`@r|?i0rSy126Y*K%=o=YYJd((tcI2!!E^YzuJQD<S6A^>rdgd(1Rd_l
zX1wY(o5y!p=UuCo<UkVpOeUU@=#Zu!mw&)$0k;?ULkT`fM8ppf5^N6|=xim#e%!l=
z$0)tIWIx4;>Xo<)%C6~v)8a4lg;z^>O;6g7t0~+lDJYse*R2hs-o(hmmMi#Bj-KRe
zYhGkhOn0}XX@h&YH&K0M6_-D$U%FqNA1QsGC33`5Va|b+);>c(K~Wyb(b|G&&#6hZ
zn0^Y}k#gIaCO|~O2V-|?`v{}Q*V0BD?J3aW9`%lB%83GHV|v=&tVjE-%$cNWEoeW)
z$6}{&p^eJ_eGsRMqJjGo;|b<k5LIO8d7Z$6mfMPM#9bqygBM;$Kd2|eX!dw*?p0p2
zr@n^wgQ_@c63gpP_9TOuaQG_Kl^+d=G*2abUHfm#-ps2UWJro?{k7Rb5D7c3m>$WM
zLNQfHbbq-fC{|q0Hrg$W#t*pk(r-#5Rr~D`!>2T%^?ZkYRPK7jn`M=>r&<<uK7V&Q
zz*!UWu0I+2E+UF*lMbcsCn+G$n6kkXD^2j(SZZT^n1o879p0;BqljvK{_Kyo*93Zw
zII*W+485y5xz|5O32_*Sd;dPJ3A;%`!y#uR&@QWVQA?5va=tre+xuD*IOu0QZWv3U
z)AkodbFZr+u6CxZwGJ5?x7nGz-yn^q_gsNOQ+3pC6WqT4JsE~y?66*xkwwSFOTMK~
zY9POdNr!YVYr)ZvHYs^*d9={esIj$*j857&_LHttp#AriuGr*_D6{N~)z&Nu>f0Jv
zTl<R&2K$@?6_ypz%H_`u8ppK}kBE4T+<qOP*UV4ISScg+$Z7UgXBxWM8UD0cfewE{
zi=?EpRo47Z(Bm(ebi_}u^Gabdz;+;GY;{f*$-TCAsR&`9{LL8@rz1@0RMz{O;jNBH
z;vI9(44KF&>EQ>iP8M`-3GLlpuYs0qbkqEQGZC?wc&F)z9%xI~zIG>*QR`->q6}Xa
zO4_1NDx?{J<ju{u;!kU#e7&LN7bPrY`d-fc-I^{vT)Mv!@`{3NDi2zA)UeRm$^$3u
z`AxuEa+<HBm5Nk&cEv}fvXHN=`7gGJ864qhca?pkjU0}g`u%Mk3(3hGzV$@{1M}W5
zRgI^0P#Ax^Ml+j<dPl>yCB*?~oGl2<p3y;>+&ej@$qck=Fc+wGm<_SAo~aWWG-Q4S
zt8ltWLzTKE9AIPt$L21UjR?_D#5b;N!bvKM;W=Ux)@K1}BMpCE=IS8re0t7tPBP+e
z5AX8dZwZ+pth$AN+URKWg2Z)SHI#cz?U+K1B?SNd0y$$;lz(geK30_yx)9WzZaZ!X
z*xY`Nlu`<E+P@N5u}=;WRC=RHbCys%(bxD3w9tZI{jYdj0=>I;Lnf=k68@Zgxu|?k
z6O|Qg)v`Ub9-S0@$z^xT5^M*zQ^SVTkwR+4^o2SuwC!hwlCzEFnogFpD&*AAPE$U~
zADd@!8{J~V&pj5Pz+DhLw?zd7pRhLcknhG#FN$IN0xe)2tzEhQgc91Xlb2X4_Z7<w
z`xCi1#s(~)w%*=%BT^qA%+TgXu&(NhAJaqFaQ|MYZ}_|{+U<T%%V6&`W}e~5(*F<O
z=+NjL-pUQg#6RzK)aM0ku}^7KJs6;OTasTzi3IWyZqFILyn=n+IeE6R7lZ786xA2M
zNa&guXHC;N0*stb7i=3dhi$E2vA<R#sO_3$oWC&#<hb)G1@f3fyO#dK%sas~e_w9)
zJb?qW{cq$hs+z&6T%VJhPx7Lx+r4aZk~pB1X!$wX&J?^irTA!Oa-y8hW0mP{9N>F*
zZ17p62?(3Zdz}#@pbPgybqBaOAn~8WZAQ5<EL^WI-qSaa^8|m@I&p&l1loAs(P<+%
zH5W#e+&+b`R75s$Q3<f;MNHPLsnObgN}GiikK&y2H~r3quVUp1lff2AhVa6XaIfln
zKc1YpK{oNx3YI*@^XONX0VLk$6RG9s#Lp~RbAFs##+IMnkM=b-fP(L`Uvs2B;-w=}
z9$OA9V+mHIhsUnzgKOOCCZUvUeE-L1yIP6M*q!BD#F|w-h&nBHOjf!UBj~@+&VRpz
z)ubMH&vQ@@ricTweOb-e>}2o#cW4O{*;%%q@4GHsiV|%UD(S?uoYY%AhnKLF6K>vF
zcDhhSyqhK;_Z!<|@yCmI%Q8kh{gxV6$AWLKIDI92{$R=$yW7QnEMte>G5ntb3#OzB
zh3Fi^*xqh;*Rp#nn6E+g0%tW7f(mZszdZI2E7B^YsXbW5BEGig@7=@%;su_3SHCf=
zveD{TKnMY5y<R`6`osXb?fUU>z6tCF#XN>i;Q-p0UlRXr26${|=dubWF#&OjAE8`C
zu);a%FieNY2a2T`4%66bZenB5G7)Zu#Y*@@(P6?{k8=mdEM^)*VBM7B0)56x=@Cgf
z1f8hAK3P471=w)-;m+Kkx>t<0w2ua$Cc^RI$^!QB5a*7rXFTw7tGx^Bz7Bj*sZ0}3
zSi)XjOS<F?eDGDsFbw_EhK<#vPl8uhFtvv31@)8s(A1}JVANb2PH&F33->2L_(HIQ
zZi^svwH579$fg4GUvn1eG6$R?Q;UZCgu!4OZE0AdK&!?NugsrBP~(bBtQQvnxd73d
zsRt<#Ai&f54da6EV~PWUJ469_r*WwDYQfW}r(NH0ZfJN?p|$TZ3FKGeB98@VfzU&Y
z`eY9;1PzFViBrX4_{Vm)%sDb#skqd9PmLcgUmQe{4HD2K{Yd4@6*ByG4bqh-2|~tg
zW%>2#QqceDYvrrWWLPiH9r=JP48nW<`@)WthAlTYC+qO8{i)bF>S*wK_!F~%KQcoW
zm>lGno<B69V{xh5V@d=RWj5blY>@}vSeoI_H<}QjCiL*HEeR4etVrLL6+ww4VN>#6
z6Q)$Dory>cj4NLz35F_x;m?6*Zo`^TYB7A2+gSphe)9_t`=Jaw^b0?9QpoUjWy3!K
zJ}Iy`ow{?;T^0V5^l)v=AOlUH$%gmW2Dp@-`}otO8obz3a&woe78snhxXsrl10e%{
z9ZYgGAnT{;XN^Bvz<u15l{F~`BZm`{5BiY7Fk(pk@GlBHdpal?&e{m;dLMjPPp800
zAnx!`OdF1;KJBjipa{1QMp()7YQv>giN3I89r&Z;!|_B=8JrIk6dwJh1Mlsm@^5I+
z;drPz-?`l?P?1+8->{Pod!8OSTu*1fYwiE4Jjzrd*@c=>vlh=aL?yTTGNGXEMw^j@
zIviq`P<PESKp|}Z-7nQ^cVuM{I&eY*60J=wuH-Ty`jHP)W~&}-AJ4hn*QyD#zX;V&
zHCgb&DoK`aK_6NgYS?}nTCn$I_(0@o77S{I#(8`+gt$6~9Y=gAuyft8JNYULE?1%K
z|6Uk_?dqFot!OGl?Ee*M9>M~>gD0+Kl$k=Lu1lwBs5YFFj3VZ(G9fO1(<|E&b9nIK
zo@+Q$2aNl7)zw)tL1J#`_L=Pf(GA~1)5~;#??c}UGjj%{?#wo}(r1H6^tuBb<2qoN
zxufLwFb(2=SiQ*NvVe;-rJbaH9cUPn8n`q_g@wGI?UJPyFdCXh8cEWDQ)I8*Lu+$&
zpP4t)G_{1)OlL>80c{XKMcW00)S;`w^W)JQmY`tXXLNay3J#YB|GRxc8HD^F)u=XG
z0#8xzrus$-%y;JB?HHAZC;Vz=?LC&TC^zW8FHj4fsONYNIY>cBA}LJ!qa{RqSgJYF
zr3rDl2|UskqL9=h62`n@2_h$+Ydm6Tz+75ek|E*+fx~HcUu?02{o=jFmBDJ@+}Gb?
zFt~)>C=lR%_QwKjG9S;}xTgXSS<arfGlntui%nAXVHQC4#kj;flmK!pBW@Ml!CKDz
zwCGr7gDiLcx+5DD;RzCU_cQ6mrxzCPaz(R2cb@xv>qj}ba5$`xa%dbceCTuIB!La;
z8Fu?DGo+zlerTXfZx&zZI=%bSS%AGBQQlz*lJG@+?D$=WMf~WKpRmFOFwk*hRkBPB
zK2*f5$_TFD^Hld;sZtm;<rFHWNr}Q9n+Z4VqE-BmP<yPjwmEQhjW6{03xj3uvZuBQ
z0rlt4zopxn!NdFG?@ERF!BJP`ewIA}Z9TtFdg6#FlpfBxab+Vnc--H?`BH;`YKsjs
zXgMZO$Y|`CS<^S!nxWnEPgn61>=4D&c4L@)cxu49V+k82Wy$;fS;0TLCZt@KG6vf4
zk4?#Xv)C^E;xih=6}&wD?dhMMMzATGH_eMaflZFpiG)fo<8gjw;y(%u;U-7j#qh8Z
z%<bJtn!L#p&h;ezk@AWG_{Ssi+mv2RzU{*CgGU!}JH6sBcDoF~&eC<lp7b3PFlCq2
z)Gy#VhYuZGF4qU?iKNSx%=eg4UuCczdjaQVbieAA)(3cKxzWDt3ii6Y_{@>sdAw6K
z_QlH>J;?BVE7viG@No^-MEjC?T(D<M%yLW@?!T&6JQ(~HXWQs2ixjQ#Xo`f2-CkXI
za?OwHeCBujYKquLtbHE8M;&R&YiEJEYtd@zxo+I|t*0)h?gC!rZ&AbA!2<cThpV|u
zy?C(Oc*pkY1^oOR&HvL^COBVTUKGIw@T0pdL?zBH;#W=1#JD>%A!=xeC&hgjx2T)p
z_d2$Ozlj@u@~(pcH(om@-SPg1=lcIU8F*tEAJySk<nm*{r~7A)4N%7LP;vfsEek7n
zY5dkx9Fuflc;_s4JsiimMV*dRZy})al7#6OadcRBwKq_gJc%a*%O{Y*f!N=VUC@xB
zgZQze=hEd<_&_>$e5WB1UAVe6@0LFeDo(W-W;o2?or!*4)q6P6=F{oSkUKgc;nwl*
z3}Fs$5cTAfdc=jWs3)A=J=$>a&d-|i_w)G7Pl?lNGCW8|m%X@wq7CB~tsHzMi}=4#
zH>-0`cu{$BU5!g56(plIzPVQ{<Nn5tS;|NFQL@Bj>|iSe!b|mkmH%7C$z3gVn71IB
ziJ7758d5-r^L1ygItTKtzWyvMN*I}5c(ChLt`;Pgt~Y)iOhj)=%vN7Ctw+kt#t|85
zE!fi)_nD)W6McHvBdD>)rypIouE=DQAy`$*BhZZ-DS4BR4`h*0?>lMzd{r`pmCD&`
z5qMFPHKl!>yf|V7JJ}6YYQm3=2102c`A~Q5M}O)&2}FETnq%mz2{h}V_>DCJ2wEs7
zd$Xm`?|wB|V`)v8NVD}z>JvgfCqh+zUXn%^-VmC)yER~RJI}^^gZ1c|OC)bug)9<q
z57-@9sR15gha#VKiJ%!j=EZgq1w?wVo9k_{2AJTVJpN%MM48h1rDv;%%r+$!jlR-=
zlm%JKldr{)&e+ifo`*^Z?chCB*rx#py<5&%c}k#jy|*g2%c-CmncUx->6*|VEw@)%
zK?<2W-+Mh<po**x*=OFls|jN7K8-{YrBTarc@@P;9eq7N8*9ua1O3*s@pM61G;UKE
zpeUk=G_K0E>X5X67D<o(V<eBV?;eu<&_hN;(x(#T<tTvqP|xO+jmRW(toB098sD6K
zd4t=Z3L-LBs||@t=&{5lrSFflky6tuZ_Zh5a7yM%4X{^6qX!3h2QSgk5&OSEe_Lq~
zp4TV1E?)(mnE$FveMv`VhDk&pE(VwfYuWRzS3^E7DiqG^4D{GX*=xau33q2`U8@o5
z=yJBt&e#AZ3JR28s;p$egNWWj$6*cRtTxg&E6zeeJhCFc-1Xp{KV9@cCo;;qxExV;
zm4({0Hw>An8bFEm{^R~dTIh#m(ecFr7V7ofs^7Q9r?+d>pYV-QkgE%`S$~d&HoZ*R
znJZxeE0v*r#v<D2V!Q(XBea(1a6lp_*$kG?ABvqL>Y(XHj=gRsEcEDmBj;sf4E8Mj
z_z+X2gD#!dA?o=vQHAaBp1n5!l09YJ8TvHj@v%pqV8uWWGd9enCa_^aVcc+=9}Ruk
zWa41=l7=Kwww_ydwE(`L`(N5N(a_>^tn+I)6|Fm)Q?ATo2|G^zOp*VlgFH2oT1tjB
z(O6VOLhJ=g2syspWnM}L%}n?fpJ1pV;d*O-(_Tv`IG0ARSgT*W>t(UiF(t(MG<2UT
zVg)>2*Zs=hQBXtpSW8EtEQ+L&lB>n6Ac4krD|V|E(#ur&#y2dE4yrp%9+|KNpUphm
zweD)7x|PkObC-otvHBAbd};}Kf6q42I@OWllPY=ZZ$wnkK<JrrwS<$eyp%t3sUg>>
z1<~U>CUJCI_-o=n3rMeW7`M<+L0@`uVox0Uf)914R9-)B0n*oJ6^?9ELiYD{lUjCm
zV_5-m>gqFWh~!DplUY?j8HEW)x4#+3@avGL9m<9y7aEh)6J$}_&6c;V{PWmqhp12W
z8lS$Iji=>d8_;^;J>D%&E7;2_>snF}05J5nF{u*Bf7_e=K1&1$C}L8WT^RfpEy*u-
zB%!JR9o{i@B5Y6*Y6=-Phd<LLvDv=s(XDT;TYEkcA@#bE@uw9t$P84G=(#F@UjJ;C
z&=TbYOHF+GvYZ)2jy$no0S|If<m2xZ<OFFB_UUp<Q&8S(*nHZVh*INuWz$=Tu(9Jh
z`Aet?G@oBc4ZXFD6QwteWt=90mb;Pvp+aN$Dk<;X;W&#&#cuojSb_+K9odUZe~p00
zK_ObBbR4%*{(Lzrj{_1^GyLaujo`cQ2Ekh2A-qX^@T51!0p?<CuFhCP*tR44j$TAJ
zzEn8uA=pEJsQ$2vl<x+hztMP`uJl(tB0BW<?+gNLRK7xu)HQ%P3IAqV=0n^86FvXU
zl>pf!Zag?kAF`bJ#t($lV#>M)lN<C1Ag17Ytb9=qu4znd(UNb)C^J*9eo_cvVC`1Q
z7oZ24&bhDkg1a!fpsMR-Qvyi19Q#9S(*@I-q>wv7eV8CSxm5Z90n)3fn-*<#L3&q;
zB>Vj!<`&hFWA~H*Bcd*qmTy?_(8Tnj+mFB4?BRIj$qgJZ+<1_Cc&)?NEE7_*+{ZA-
ze<s`B-{gQY<GQKVIwt(ycetrqe*!aCTRD4$O$7e{XO5YzOxWqHA2-D_g*Efj$}PA#
zVaTzW8*60%anWaFZ}T)}vGu>S??aq$v3Ij^p)Uh2@9a@*xI2rzNfKDOHO2+oqJHkf
zX6Rrr#b92Dn8)O!>+g|dc|hH<h0T#d2fwiU*(JV<Sl1QBoY{lC@b{&I3Q>~|E^6|P
zvOdcg;ct4Q+wV2r+`4kPJe3B^NV4us_$n4@$x(YTRsgh__xRnv=>S+jr@sJyop~nv
zI|15VE*!OX6oO)r%td<*9niV=KDVEb2rqlm&V|~qgX7KHe{scV!-YPC#oKd&|FOYn
z8YTkw%x;l|2dH4gY4K06XpJ}B{+@C;DhkKd#JFX4QDMK~`+cDrJfOR}P?uaog6Buo
zs<@gduxfP2xM|HFOV?~_nPP~8MAw{Ti#r9ro(YlM9mx-K+r%VFYb3z_sB>oRgccNX
zyD04T6oi^`{dD39DabD9DzMGg0{d;#a^?ZT;5q%UO36_g#^;$tilY|%=-%|^!p-&Y
z9t|FZ9kOs=6FVCsrv*Jr6txi!QAm(3^a?m54{eyBT>LT_JYzD{f7z43>vF5IYuiSs
z@|qYmnI(gy%Ed{)=VGv%Zj{c@QG)*g0096043~E}mR}sk?JZt=XTO{GwUYIGjVKi|
z%7{{Fs9#ZJG(=>FN(oUZiHu5#=s8A8Dzi{zWmNXwe*QhzIoEa0xz4#i_ebGi0ii{J
z0-p!jXj_cMp`p5s<8Guf)K}=xxy>kG(&c2+*DC>yRkJ2l^C}=(NjWK=MuDV<r`F1|
zrNHad^N_JiYS4A;U&T8)DjaE>sHlmP0dJGNKG&s)a4EyK#_Tf{q!$hlf^W%zyr=&~
z?)M~6=xTXxTS$XiS3CWe6$<bo=y9-b2n8mlli&8$)8X~X4BN}Air_SRlWc271Mxkt
zOGQbVz#DlXsklT5POS{OS#oJWP&BJd{}Bc_>mHJpTvUdOgXv$pD>dP&j5Jl=jR`V0
z+IWn%sY3qrPow-|1|+`RF;X6=1*^}y-J?^~z;d`lbx!~jR=s%i8{cU|S6ytD^_V&&
z=tOtEQ`7>f3Wc|9bX~}eka?R9B#133%wW&a0_uTzM5)w+!I+AKlTl=d`8jZ|id`Ef
z?nR6JJg*OTmaQYBD=5$r>eAmr(S}NiqYObS17KGD9vk{j1&&udYvSVC@HxW}Efb9(
z`no7(_7e?gX-6#F%e8=RopjDp&;$lv>@84Cq(kR;xXcN8Er``uesgvhgR?Nqds$us
zG=?+tUg$Gn#V7LpP%FUmPRrwgCpDnBi{d;i!hnd=LOgBvO`-IblX9q^1`Ke%Gw(V<
z2MxjVMZfLL;6(8*xUZ`LoktDFviDM8@dG{IzS|7^mU)~S3h3~GF1-ID9}#@`yGQM}
zn}hd6xx=P@8ocYkmwB^Q;K$~7hE6f&FmgC2mEKMTm7Q8ryLKo7hw3VgFWVeCtYuC+
z-KM}kmaK27N-|)pq;g*&!yH_#D%aeJWU&8lnAd<P2IDN-#w*X81EtnRmT;R0Tj|lQ
zU!w%UYPLLqplc4r<x}0KN7cafpU<4KGzX+d1fGicWd@P&J6Cx1RUxx%zHqzj0w#OS
z!Rc(E8SIv0dlVI-46Xw8QVmxIu<edmasjs)JmcoqwEe6IEVEJb^@X1JznurJx+R*z
zrw&5hV`~MFf43g}Xtf8wTT!;uAZ`lt3I%!cin37L8qRy*+bEu<#@CmY3V=?ZJ*cK6
z1)u$=9f)_Q@dW;+#WY2Lq}|b)mJZ_38mGAvzRls4tizf#dkjwQnNj&zDgtHqU(h;#
zFW_5K$Fd7gn81T)>*7Ltg<-H()2o7O32&62c6btH4Ahhl$z!$xF#N^EA;)(K_quid
zn_r<3e0O-o<Gh~-{Ii#}tR0u|ityiDioXoOGr%qC&u0#3vrDPT__l~Y$<($B5Hp0i
zeT@&t(^z5nyI^mI_#!UpP@O`wH-IH!W9bhOs~DAZw1%LufG^Yh4Zqyp3Ky*tzr^@2
zU=OVi-#Vr}k9!Gc`L6fsgXlMn9Um5^vF&jhrt!LSxVuVt!ai+%cuFm6Q(>LJx&m^a
z7r`u^E^vRVf6Nvrx9SYDV*P`$&h>qqaG$|1l=6nM4C#T=baD%7>BClT3)aowoW@yf
zI?{8u>p`nH`wBuoFtJm6k6js>!jt8_KF|wwp|Q?ad{LnZ(=`(KSL-%~=htOq?2^%i
z(mFxPGg>9qQ}bSbcxn<4i@UkKDOv~YV*YDNY)Zfe228sd1(SHAnCrE;Rc+ACI-dDQ
zrvyKpg@MQQNqmdz!3IZvZRlL;3=--3fQKbZw71-x#8Z4ru5wOlfklkOTI<y&JZV1o
zO6|Kzyyt+Q(PbYku-8*ctjPI}YbxAyKOi)Pw;c&FdN|Dl%W;VThx0%2OXlR+wumWQ
z!1*|<b1)Oitf<k?S$puQMQUZD@-$v-<uet<!36O@BQbZaKK%0GfI}*S(>O<85LM|0
z0}hsuAC&F=jbCi}ea5$G2A|f+@f1>FzzyP#0}lfR@xMz(Z;A$H@uMoA@aWT;@bJI&
zRp)!dc*@FHp1<lmE`8in=j1&N_;>q7W>LdmJkeJ(qC8;%_u;N9C~BsI-$io=lEf%}
z?;(5cBzXz9lke)^y=fy4P8i7X1&-r96<FTl>@uEX_0QATjs~3F?TzMZ6Sy(3(6`R7
z;uom*0z*@%FrmG<#oK8Lmv@;6_$tMM6urFN)rKe=`ApJRc|VQIbEIx+a%4sKhDwr6
zj3~fAlJ=OnXBKa_-0Q3Pf(@Yrix*>e$naGD_QSB%Io#>daL#*e4)o@Pskhe>3C7Ya
zvh=<#;2uAl>F+x^k+pglvHvg$Qd)gK=6_hiJ#zwVON+SC@S$X>@>U{z4KK30Ikti;
zI0Rb9zT`z!@z%X=yNR%q7?d|`wT|n3Wh;&N!;h-VRk^Ics>7ahmRwOIENF{!=I_1x
zHlg*(J=&Vi>L758MdhCZ8<HcGKjjG(MyvDBuKxU|1~+DYeK77~M`541+HcJhkeAEj
z@!c_M;I}Zkzblp#{a%(mqklsbIo8w*R_Lg~a#{}0vBTU*_;%tx4o7h`(o42^Fro^F
znh#!lbBq^-vt3Unfh6i13u{F$Re>d7`Se&iKYAJ3GBn^Kjg;da^BTvg!a{m|?*Z;j
zsCq>GW#A)ORN!em@E}kXnjQy+eR2{;b#WY<mz5Qe)$5<1<}Rqh2^%|kxeo+1LESwl
ze@YP*$jRJkysHWy+f1LXyNIHR<JR2f{Yog;E<*OmcU5?i(rEWySR7pw@!)<Ipn@b>
zrYr8~slg?mvg>K15(pffE`^fS(7P*RG!di*l~dbAeWs*PEBVn=sRea}GlWIVgVZ5u
zEc!{UqAaoyHxtU~C81z{dk4=GL~y5lQVkE1M}JNYydLSJpp#Eq8=O-}fR$I(<gIK*
zS>>xNm2)&ypYb;@a}xzFOB6L<b5ug+*RjeRaZSX&<mdmVl?oU>vwgZk87-w{x#y=c
z&`0eWdj2#W<aSA9Y}Hpq<MO#bD36$kBk4iu)~yVn$&aeO!_^SS*tw|s3@!A`W$4t|
zJSNcTlQCy)iRgHt*3<1*w2@<@er^38ZHQ~-x5@4yAzG1*WQ~yya?Ac8=t$KC>xUVf
z|GX*aPUs|;@dq8W!9!~Woh{&9(^o0|n~HY%c6@RZ(M7CL<Jq^4Y=r^g%-l$zBkx`N
z8}AZy(biw*O4y$p!rnNQKL2wX=x=|GR!Nx-iv95L$aP*5us^|STy;hhU3qlwup_q)
zI)d-7b)y4}b#bJg5M!W`)sT<gb6V(#Jn`vnD^obxp6B~*2Lny*yjZe3o{5&X>wGzC
zWd?S9g_`RQ43xZ>_`JGM6BXRgnA)Ra4wqvFZrxxo(6cSI<W~(;wDiQRr>fZ;q<`r5
z7QfR(d3z&E1ha|gdBm%7FFOlxX(|bMTBCuKee{M$JXKI$OH-9+ss)t#ciIYHprfAV
zmgX`~1ynC`$=T_J1!%P-wOWi)k)wR=t};IfbWnP0T}!$J2-1U(^phxP&eiXl!nsW-
zao8w7=AZ>Qy!P6cX+%PMlafPv3t17XLW7D0rv(I`H~CE3qK;<1+~G==`iDP#UGsS1
z#s>Ev=g*j_tD>k!kB9oUG-E6DkbY5uIV@jY4U>~lM#ne@eLEDUv0Q6?k(CHDAWjY&
zj0!8Fg=>Gt&jhbwiq|gP>6qKNw|qj&17kT<Qz26p8qN+uWy?Z0j+w$pBi;Q`tQ0!(
z$i16zj|)OK9ZMVd0pPd(y^|^?j=n$QEhwtsfo<bndot_+(wEYh+MNUx-66)*kmiH%
z+Xri6GBMy_?Oyy{FNlIJ#Gb0|<O2`=BOZB=P2i*GF`w^;c+jmB@)I9Teo!oH>iAk>
z3}u03F|9%DNT2!a9ETP^OpVO!$o^&oX#LxXzv63n(E(nSsC7P&sOa%bSu=zK|0TST
zmY>62v{v(b^7%k!dh^L4rXf_`d$z7OK8n8+w}PuSd~oHqFkk&?12C3OU6NJn#ih7+
z5y<1b5F448bESAIcyryUKiOJ~YuvxJIUto6*4|qQJF#sA9bMsLNWKaSO^CF+<;)97
z*beKb`}Bc_N801ysh`-EOG_%xG<o6PX3C+Nms>!Z+9GJNJb)dGAnf!|<%ND0XRKOc
z3+xZFn(hu9#rlrb#>*M-!h_)I(<LE#(7@3e5J#NCX7{oU2A<;u@x2wk5o5Y=s@PR=
zc=s#@sR`e_nt36&-h6uMkS=@|D>&?CynyAHj174^^T9)WW%IXA9oTExE%Kag87u3b
zP-)=e2b**E%!T&rz#HvcQpwX*EM`yGV%aZ#cvV$gk<_!%=hGU0K2=}=OX0Vx_Pqid
z{nW|H#akQfUD&8!53>S^B6j_=&?YcUkr+L_s0C+ArT5S0u)*mgwnmpu3PCxcD|skh
z3p%9L-h@xFgWi_rwy9uYu*)i4{Y}(@<ZXM_lPoyFkWJNKzcT@r{OJ0(KQO_tEVYU)
ziwojVb;y{F2s{wH+ok^>6V%?Fsfi=-KuzDvOC<+HL9$!%ii|W9V&moHDsS>acF^R{
z&R8*+PdM+FTF-#FKmP5abbb(eV_JNtRU9VPJVvMy47fe-)Y01`05Pw0zt9aOq25CD
zfU_k7W=iej{a$PWy+sqAVI&1gJGSdr2{C}Jp+6<mUKnzI_62etlL19(=P=uv4WF8h
zPiS{1Kx59epj-_(2w~6M|M{XO^bPOaQFBoQeoB9s{3N9SLOxB07OgdbBRll*n<7!*
zHYJ?n7F7gA?rmiXOiide^-PkmECxRF8dPVh5;zKnskLm3U)33n<8qe(()E!Nl9Mv@
za)y!CZ8ag%L}lPXn<S7!Q)CAcRG=fAa;WS2MxRNtxsZEO8u;?r<In$41<%EYg>#dd
z(5&Wek|-?;>8nn9O4{n6#C=dL&V&ID!fjJ_y>c*q$Ya3$4iO>;?|oNHWk7=T+A-%U
z1z7m>w6}<z422Kso2vzxu=L8UH{V?mte4f5ubiX6j-<Q8erZe)D44L2@=^lvuRr`p
zdZ_T<=4;*j+q8h-Tzj_BUl|_yz5VgRf)1Z%ZoMZ6XhUPeoA;UVD!}~jxv2bY4fuBb
zW<=toHYk%G$7eoOg_St!ZoYa=cyTq?uVYpRs5uJ4<XScOQ06uyaEbxd^qVHzr1W6z
z<0S3NFLfXul>K(4odLGZ*udo8EpVy3|LVRmB6#k8cP~zr3H9vX46haFL*JV-%DrPG
z5NH2G7PMx9>=U(r95Mz_Ahq9Ou4Chz(?#vk=1iEVIW}B&!w}B({&i@|p@3UXn(8|N
zCIpS#a&r<k22M}ne6AxE+FAEmt7S33DpPp}DcS^X#kdyBwo$>19%16g#enoUO}D30
z7*KltTaTpBpxn_Yrp;FaZpZyd6?g!Um-kyT&YA|o)n0~OmuV1N{QLQ1JyW<5$v@|+
zLxZ*(uVORID4<tG`(65K!?U`71hEfMq14H>^JxQd!<R`7qcUdT<mwTZbeIa%OKJ!B
z4AmgNF0Y$$#0;*q7Uyy1Q-J&D_O&~y%3#hXYTS`%2I+!R=TttD;XyV}kU6^|s7Hl)
zq&(Odudl9<e@lXP!lP_`Az29f{xf7(iWyw1Z@);5CqnQhcfzIrBtUj`uRv*l8JG!i
zmx)-agLgdcadC?XB<BW7Xq%gX=^O3r*Q2TsZyp$JFed=oIZp3v)=a@IrqSkQtO|In
zX4;!v;(|xrmJjbdGllSbaqWUc<&FN%krKkr3iO*|hg|oV!m&YRtCjZ~@2%?F>VuU9
zY*EZ{bLcq0;)o@8^iKuI40wL_LCGZc(Gs#lqXAyLb?-f}O%5~-Mzo_OhOy16ej_eQ
z0K%*f_%}C7gD)N}&?w!FO{^s+(|s|JFLYbFb43y&ENpySx|*?*AL}M6@0-BzNW}AH
z7jY04=ax}D^B&vEZZay}VhmbbPs~L<L?K?B7?1rZ!B}M|OM7{ZK}}{|>OwpLV)pJX
zYH2ORvVz1jnHEOiAlCY!v_S}-C7k>@(p`krpMGN`7H$X?6&?~h+XX;^;GsU%`3B1f
zx7B9W89;^q+K@Ms4`zGhU%w$$V}{f7XK#rbz{>WmJz{O#z=(KRT)b3|?HL>CXB^((
z&YqwHwKbejk?*m5n$dz0w})E(EzyT}nL<l%X4#=n%KMelQaiS&^Jz;uK_5iU4nz~Y
z*x<5WI{RVmZmdtFXHCIp3k>{;Q0Cmk3cC&+Ozr9J!)93(URby2L2A>jxW8@dSd_nX
zQQx*fY(9aXx@e#W{g~_--q}^G$%a1~fBy#)on2DrexeKKtmB<`om|19a!$G3-#>~~
z)S7fUO6tP;sH^lY?PZKLow1-CF@Z(g(AruXs{<(>q{xGoOW55J!vgE$Q<%=p1Jh<4
zI`B8?GEa8KA|}31<88Xj493|W9s2r;HdOW|C#>l$V!mVFFXXw+VWi?|5n)zsVC2T{
z5aM6NewtM$<@hdOc0%%rW)WJT5_@fvk>nyat=oFaCUXhX9@5CS5Yz&mqba8zI4@#^
zG%JC|;T3HDSiUIX?uLg3pIa9EvWR`8O!0oTU&m;bx1MB^Hhgp0?8@@lCG5`~A3o9~
z3w*hI=pRox13ptDw@2+*#{Btz@p#&>L7u|3Yv90ufo*PFzIH2^k7T;YQZ+m92{C_{
zbZUaA8}T52)GGFeMef2TCr-E<IC;NEMibay>Dif1u3?RnYUN`b+`u_s_*chM13vU5
z6x3R>0I|pAy>c55Bq&wyU@4-5mw$fa1x?nC|HI~Vs(}v{G|N=7xasiM<5v~04jcF>
z+#C5gDF9sK4OX|0)4=eJ_4=9<J4{1+_gOO`cwMKcc&3F4u^EnR8h1D#`0NFri9TVd
zS!HDW-cE%}J=^@AEpkFcQe~DWh=2&~%2I0`1)9CKt~Z5nL;RS@ruDa?V5{=RW7j?k
z<loS_s7K=k8=n_$w$9?<8k3R`H${f?*b&}BR(>F=x4s;Zl!U{f9goHDk)cuO@WmbM
zf-sov{m^Mu3VeuiKMI}6pnq8F(l#9-;8>>*D)Gxgw4c7yc_JA+eu?RDeijBHalSW?
z%;iDoT2gx-KN)(=+0F<^i$Jy}*SGPU&Cud|c%Xxa3{zh^9GAmHq4PDJxJN+=T0~ju
zUMp?v=lF+$Xnt{c@odvfdx$b*TE(X9btQxI<<~uXiX|YSZlGOcQ3Vn&_~a^<kRkg0
z$C)>mr2yZr-gF>Z4O*;=1Nn?8@FIAmvEif)2>i>c+M!7V>aOd2w<b4o+Jo;D?V=nI
zOwIRg8z#Zp1Q1GpPyt_KUoS0GfO`Tu>)u5aa3x;uY+9p%Rp9A5JWLTJl8lnbVKiXQ
zop<m!q5=JGZjl8QN)V$%3YmA(06kZ6><146?!Rvp?cq{^$L|_LI0+26H1bp3l8XtB
zZG-x`ZmOVbRWK|v$^iaU=E!rJ7RYEDYP!BrgKDGZ*{TvIkS0|8-7jf_qFtDfh}1@&
zuesSo9pB)zLrjtQf)4a#$@@I_BZ16o^@gEYEtsjsI$x*if#=SEmBv~!*o%bT|Ldd;
z%pE&<ULMqkAhKd{2PYLK;%~mJyQ~fPZI6ZLW(FW|cz6*b(Lh0Bi+jT{ZIE3tQSs6<
z0`t?4XNOeiV8l(`<H4s5w72Cec^W3*k{og4<rp1gWYrT_4{3ps!o1H$t%Ng@#LrqG
z8t`d_Yn$O&CTzRWw!%IS(5WP)cl3(}#7_mUXc;qLq9H?|tIiZ+(;a?aXwd+Ue%W6V
zX>?e)Sd%3fVg~G6uhe;8*MQ}+yQBG@6u3y2%TE$E2Z7*M{`PBh7}IH<t{qbc1-wBw
zJlGumV@nE%SEmE1XHwVRO9l8W=GxD^HHU^V*LGh)8XQ6jNkLyX!-t=0IXhd;fjv&X
zrtU2TG~QqQHK{5Mb*=30$sf&uaQC&dj1d{+=f-Vbt%|_bySJ?K)67B6BI8TzT_SvJ
zt1aZ1;R7KPZ^5IE<`8M1_Ab6h4SIJUj+1d=1z9u4P{x88RE%5Ru#;7V*5fMPb0?>;
z`yZGOisH;*zlEKnoTD;yI;h%IbG2fUpIJtxCCs4Je8%JYO+}EgGsZHPzvHvDFHMco
zOhN7T-#tE+^6<5=%?7rN;Cy<0B4cu<aCBk3l^G@jk*_|*Q;y8w%{2URN(O)dk8ky1
zUrDe_PatIfUBC(5KT|d-1KjG`#Nm8P3~DZf9CBP+#=CM|90c}Y5dYt4%BC>_*j_eh
zHXdHZm#xE>{k=?pZQ3=MvAzj9Jyx;~{8__gT2B6z2{Q&eJ4W16A|C`ZL&}%8uH&sH
zyn_Z$jKGMhX-~S&1rb+Fk3HjE$M+Vsf5ux4p$UD9elp1hGkIMRlOb#PWP`*74?aV9
zOF8j%zxO&;c5`ufy?hmqw~#>vRtAvX5!>mUwTML@&%N{P#|nP2Drem=ZY#KD^_;X0
znZbm3$1u0iW&E(<H^sy@eK<3?>t$EhIF@FcIo`vujC0lYm>Q7vq3P01*`2jR*c}fJ
zf&+aC??R^D%~!U7chvm+rPLnGWkimQpIOA8T$^Jqcj>|QY8LH=i>;Vy)T8WA%?r4x
zZ?)7R&;z@2;izpMRoL9W<Pt--1>8KZL=4~HX5(8$k2?i%xQ!-p?UcX*eyaZT>lRU6
zs5H*9zT8!fyO92P6%5bg%nl1>?{J-sy!2S=muSZI!;;P?PtN0M?+};cqBclzhAu>f
zci`%CSI=Rj1zd?6a!#Dp25!DI>o9r`J};~38yUZV2h0516g{p5FN(g%+q(DTGKrt}
zX(=z_LwY~<C;Mo@lXLf~P97Y@cMFq~MTQpfR05aH`B^3;WQn=CTl~S_+y3NH>srFe
zF1vaqFEc@8Q1g4T_y{ikV<9w$a|Jh^{Z8`c+u$Zw+nx08F??=$eVTD-6?gu$89X=q
z;+BA+b=vm{T={gVYst(Se&2HY(OEhJ?)+z5WN9&lv$sjdw;W(Wap}2%mN6Utvj4Gf
zZpAeI!dnH+9AZTmW`EnZ;~JoJ+7ks>&Elfj4buS;Z0N@-tu%jy4yh4k_S*;N@DgpA
zQyz8f$U*6-Tn}t;Q{-2BLB;}pZze%wj=_oagIFHjj-x?3EiKE^e+jpfv~22n$A#pE
z+m7;Vc#OgOPnW7rui&mcy#3tgd64MvRo)OoD)1c&d9{?VhHI8c)>pXjA-yvHKQ5UR
zI2`##b@en0TDd#W|KL9X1kA`Gf&c}OMROu&AuHmG>^WETY7<&=Y4~d#Muw}V88>_Q
z*irOSV#ww+VMHnl+>*jZhRdDxOQ8`Q$SxxI-pV2YW#`0}a9k$=>)n$c{K{PD8o6fg
zXpks6(-7;JqDF#Mp`M<v{oJUE&h|4&UK}BnfRG2Dh|se@+h_Nc7o{FBqdgjuK<6sH
ztUtd@gzww0+FA_oqt|C2x%~Sfg;wvsm&`RM0v|;ci=%Bq0s~hK$V)OPHg0gCMwSS#
zu7CBDbQDI0xhx#4+vU;vZWXU=ULtfU1P-ee5KsfrwWPInGnyuIkWL5_f%mP7RJgh*
z3N|?#zSBqvEoJi6=W7$e?~M1it+*H})4UOGRj7<CN2phF0*H_^;cLtcmO#ga?d>9r
zR8gm?`ZHQD5zJh}cF4O(Apy~s!I%5hP*vcsl9&D@2wRIj?d&dt@`QG(RX-%6=x&zp
zZiZy|{Hgw1X`~#wZG409B7ltc^mrQl(5C?D+_sJb?FvXmM#W3bgNpuY<^6N@r$RpW
z;K?md6p`l`DPO{lj&7CT<gr?yL77pPdf&7X`q$X-65FPU8fhJe|9sSd7hg<1+1jZf
zZ#|!tgLfII`R}_&Gv^u5_GEtML8&TIsjlWY8^J{TUU~Uizuxdmje}-isOspOa0mA#
z4=r>y?a8$j6>V4?3V(a%0TKOeleGFIqm4eYAp1dF2g>`tTNjIxQTjQ*wCF-@WV=sh
z{(ht$*!1iD*cD7c$x{cfxDj;Fh|%xT34eVMv|bsFucx8`zL!=?x;m)vj4;1_m;rd-
zX&ijDLPN260&7AW^SSPBwfcD92(FELWE^GFK<as)Ysc?tBQ2KkbwZU1T=PGqzo$t9
zNemqQv%g&n{i1JI)bs}U{OXM~-vLcDmA^CnYb6uiFVn5HIAjV6a_Obx4>i%N-XLye
zPX_uH`)KJmW(Foh#UY$`G|>u^o#$^j9qF{FJ^Zj_2JU|E$}{yfQNXM)GkAoIj+$K#
zdJtz02Ys8~R7Po_gBj5QCpN1iF0Fya50mE5@nc0?Hg02mE62W%+msRIQ>J(T*#d-(
z^y9LuX=v%hw(W_0@~H1i?r4#&1>DSks6Y6Xg7_Z`mwa0mNBK1D04`$z$MuZGW!1=N
z=5NU5Gn<9bkB+NxmwuT;gxwPlEmtD?*ZNe}?-M&}tVuGt9%&90$B+9>1*@SIecVlr
zI)ndyEx!AaoH@*s)nl-mD(H$#@qZP3jd;(Y`=4jB%;0|j0096043~E}m46tAIriRr
z@69>Kp67Fn6jDYsj1WpFC5fiW9xV+mEkr~^O7*_cPfA7-Wm7^Wn@aKX|M$AS&-IM^
zejcUSrit^VDx`ew%&t`mgAB9I+xxp!?a}uv-zo2w61j1&i@WXGX-3&|X4k{ZOeDpn
zQJ;#*lhI|PN_?^lj3!0#-Vahts22&Ilq{Df8@in1)I(X|CUE@5_0xb-mbdr!BNF6C
zw*NLQ1yCS<gT=T?6u1>aV=c%MC4J_tD)|c7pqyYlt)|aF1I=jj)nXwsDXv=3C5Rmg
zAvwoGZR|kVo>|3pkC!w$``y0y9y{{YBz<#yY*Dm1s;SzLlYIK2`uCqoc4Sv=wM$E|
zf#{~A0T1OU<ZIr|8>z|cC}GNF&lFlCa3b<e`Io;$>|ry#E@O5CoYSVd^;*HvE52)C
z-5eqP_I2RHW;Qt7EB^OK-U^4buK#_NFhRI*t+_=HV?#vc<6RLUmS`%?+$nMFE75iJ
z-Z5TQHmvS`TftXhf!=Kgz6?fm5|*}!8I^?;9P#x^^y9FA`ow4ouGJDY5+)LZffS?}
zt_mLwGzW{&lt_u}14dBxGrI-@3O=@b`n!{6*w1(0;;C;dBSeq4C|8_<ncU|TGfgvi
z>HE~2+tkaLPrqSxLXv_LzL8hfpESi?{l(Cd8($dq^J!amm{Jhdy}mwy)f6jZf?kRi
zj52f#&IBLWMM03~3AxBP6Xb`<yefD7$@qHZ#KRX&6x@2akB@W07$<{!X%D<785@I>
zuBy1Qp=r(CpSsb;sIsE^T5X$VaGthwNf=>6V7A7}|0d|z*)C$RDsq;gNk2aIu#g>l
zKan1<_R^uM@zzc<Y@YFDMN&_98VAN`sr9;Sbhwq8Mmh!jX6!EK`J{S+6YJj`{ylMu
zh8U-hDlC2rjFf(zfyrtv6qT<QRMVp27#Xg?ANG%7G+PxsCCG!535ge42`X5<V{!+Q
zmKe-{Pcb4Hyr{{^3z7AwB7R@bNMJV$P8IOz9;fpoD0I)f-J%g>B8O7?IVpH+F6G+H
zC5T(xcN8_;jL;Eqls@Oc2Jx%2EPb59;Cf)K7;@7PqLLJ@8)w;Z(o@g#p_&LDJEggw
z<}$?9{`ikSSvm28sq|0QPZZnFIcn^VGk}9_mfBb<7Z&fId)8kehWu5*`6HA1@G=U%
z`ofS03Furmr73~O1+quE6ZOF#FR5~4ju)b(a-{n+NobVSMJb5s!@VzMXZL4*<k08_
z|Kg+(`>em^ZnYkC)xvY${1!x4S;vom>tr!|i?cL4P7g&=<nZ^)!svV+s%_>ckCqdj
z3m={I;M%IR=W)9TPA_g$U6-K<M$wDCT>5&De4(4gq9cZ&=!)v~yOeQ3h23{fPY>tn
zbXh~sisLiYZ+-Ry6{Pe(GWfYt4>>{aen%-wV)LSI`8s|z%+Ko06elnLTQHiiyIu+z
z;l<n*`_y6a-tA)Gs2<`J#6y#FWUytXs6*_J2C7Luu?KtfA-rHA>=`Eq<K*=4@0nUi
z{*X5HglYhb%~R!b`xVgKc*p0Cp$<lR&r`dU3?cM&>%Xq+N)YiAOPcJ|MU=YY)!QqL
z5ZqqDW;d;jI#ZTwH5vM-C!>md)>9#=QIUCCRTYIk2kE|+hM+&cvv|yq2C44!bwU1W
zAWe1rhCUgAJz`vmQ-=<7gUB1T`RXXy`!x7vITb^rVO=h(j8Q*!{@K8Y28>w7!?c5F
z7%%qBewbr|9eK`9?NlvXGn(sjn4^KHU5qwcFoo6hDuJ83v|%I~YH~fCj&BAWkA_ms
zp?vrYn_Zy}IAiu5ynTlbyKt?@+s2lNrpSyG)#)NY*Js4~86C<2e1X5Gtx)dZyWXZ=
z4>nq%&kvrW<IGg{hjzjSv7dB4a@^2|V4v3F11&lzQ#w-o8Fomv*m2s`-2l~>L|+Oe
z(%@>fC#+u$*x&SRgJzAvGG_z2-Lt7!>zt`lF%9?x|E^N|Wq_oGVRgwSLk#b^H8oVq
zM6B8(OZRsJM31|8$tma~J%6Um(aj#L-}&9cE*c<RJce_Fst)2J91bqMw#QlBW0%iy
z89>!Tw<~_RzJKmkNUEwkU@=W4oz+AizALJ?CD*Eg>ij<K<pu{_wXE;HtEq>CyK#Sy
znJ6Kr)6@6wb_Xc4e`UKntOH_CrC^bf494$tZ9C=ffEUg#eNl(C(HXW@(j#9C=9=!)
zIdliKl%6#gS<nR8pG{nM6u@J%%#z3B_TXGR;?fkPfu>vMg?rN3vFmvgk8qwnKCYjX
z^?$C0p_LwI<E{QM8V$8=L(S~L=D|$Olu?De+<BUH%Xh}k=Tc=NubD8^(%8F@pp5R$
zo|2Qr&5YtWZjbtPOmK6b`#Abe0eR*3_gKAXB8ql)l_vKAy;SR8tu3+$mNQk<O8HFG
zXFEN*uoVy}(tG;vw-mfDdR}1B{6XZg3H=QmVn8+iaFw5@1j^F>WIpAcB<==33mf`p
z2c1&4h>mVilzm^9>-TMnkhgfj&6Kx;NZ``lD|x~=Gdfnu`hA)(%uE(`XWHVU#4a6H
zDFG0gJ-KJ?W(d{AEqyUjHfX$ePdCbs2Q!r}!<9laM606LE;8R5XKwXr`Y!V-UPN;(
zXVNtBLviqpbe9!k)NhCEWMM<~rVGsadsD<Y$q;3$W#9Ge-~6W7iv=9B8=steJV`id
zyk>d7>^o*oW3}Yy0>ka`VutqZ2}0=0<|`S?zWWf~7~N4d&v?u4+RvptPVD$$w2Ob)
zchM4Ev<*BnjMsN~EO$=*AgTrisFVP6NFDv2@ThTuG5+SF!q}&8gm2-CKBcE-D6$?H
zx1RpaV0|FmXE!)PysynHQc^NQ{tmaBos?ll8gqk2tk^JdcqjK@O|mIGZXJ1W<G~;U
zaclJ-?HVHLeDbfon=(Pdn92s5(H@4i<J*;gC|`)m>c2v=AtqS(uJDC7sDts&wc0Y}
zzd>S#_h!M44rB0t5=lOG_Z`FKg~?FtlL125e@%4p8e{xC{77J1)N6)qtUD*yKtIu;
zalo~pVR`<tH#`k_L^5`N+bX$W-cM}5xe#dYN{7u|=Ynf8_Za`Ns}H3o_7RUSlSel<
z(I71K&AvtA6vJV1MQ74LFOjKN-S)+s20N=ZCH`$!h;Q}#*OgxBCHAlSu<2nh6}R=z
z|2mU)k0_1Gd!$$1OME_1_VV#|Dt3Mv-Y9+iDIvjVHN7m>N93I8bg7&-f=lnIv50{h
zqSRFM2jf*A(XQ@R#HDD2`JJC1ow0mHES_li!5-RAyy{}+*tr-&?LSeAhRqEGqu|`{
z9)SUZe%qDJWWNFQjfJP{BAN*vlM7k#y#s`o#RE$1eSPH8n_j<u@Q&a)6NKE3LE`NJ
z^L_ObdKh`0@@}f~JyEYv?-}*yGr^p6VyGGGLAC6p*u&Zn1Q|2KUA1zEsPz}oc#xor
zuUonUQwKYUZTt^cmcRT;L=-T20$%ALz{V@FNVb#Mf9-9%Y|IG3#nQ0AA)|x2a|$m^
zcXtyLWr~MZdwe5OH~fw|y+a!+ip474)4fD=<Wji#wjYEnV@u4$8!dQAcI{Gs*H1VI
zHNA>>_LEo_rpwK%r-l50`o;!_LE=-!Hpw%~eVaObI;|x~6R+#rR^@#7Of2TTAWfyG
zi1PuGN*2F0kk70rypTRbEVKyh`&T+mgy>ZTScYq0*Gai+f#JhMGGFm%b@VK8Y%7JQ
z^^-az4c_IK?HncgwhX+h3YaJA7L}$rJk;^!Ao;Jl<U65r_xYt~Nxum}%OgttZ`EL3
z=s9Sj_>*}4Qc6Une}Pb5iqeQ(t%g18*Cc6$PY|KSjS_A97m1~==+?egRV2G_)ruOJ
zBo;Voo<6$ELcVg1v0Ux1imbO~uWlciCK!%d?$?|t<i+!{MzcRufVok{zpk^y*;K9|
z8ZSFpnltICnxuj_mD!>($9dw2MeK&21rGA%{^=Jc3Mz>1JDYwW<~PB!GF&)Ig`0fB
z+n!tSTp9WCEIoQ13&h_8<?PoF^OEs>*EWiTD?_IIu|CIge95f~`~E2kkO`)KB_>kJ
zsFI;h_}ph9(~UR#C$S2X$5ZZa`g>Igbukg?W@{*<kEaRk-31Y{nNxJ5riK!huJ@~5
zlwc<V3{T{$_=%B=Nos~wq#~5Bn#6qM<s?r}WJ`s)NsvlHi)+;56p_x!rhmnlo2-+0
z`n@(<iUeDd(A8Cn$nqFUo<GA&?zmq6CFzw6sZ)E}&=HDQ)U0k^VIn{dzP@y5W}`fL
zeJ_`S{bohHUB9*EGM_Nnx$@z#yMYqv*m}Q`w?Yw~Yf7K@UlSp7mPT1^R8+{G?c7gN
zt(D+>uYqSOP>g(+y!~TOlPX!)^HM;cLm7i#6PsICN|2;X*1h}r>SWHOP}kxaWpt%I
zPYw!{B2$90HmRP|B!g@}nPqybz$IqAFSS61bmYIZw5LLwjBp#UV7jRycZ=N<Hzj#8
z3o6O6W4fe`t%rZ{aW!nGyfvR~P$Vn1P%JxE7?91LV(ET-8VD|2)Kq9!CT&?wp5Cc6
zB5S3->s5_t;;z!7g=3&9DVipI!&`<%Zd=d(b&rk?{8z@F$y!n)WjjyBSo+Y(TT01u
zqaXFqd@U}z?7jwB(^V0EB-NM<-=_NhJBtwx@STpl5~oG7&ps(qxoJYS^@d&0UFKEM
z&WU|1m^$Ra8`g;@@=VFtC3}{vt;W!1mA7T`>XChEeXKg0%*g29;;VS8O>sJ6NSFLi
zpR|ebE#+%7BXigS`$8NoaA=}nwj|V$tbcZjc52#;%$NA=R6B2lnW%_4$xb8k%v)<M
zuVOQjey?44b&W0llVQ8Vokk^ZzHZ)-JZ4JTZh9nD>jc~zvn$!LNF{&s`P76xHX-}F
zdgDSbGU5ItVdXO?8hK(sv65ZPn4B}y+BMN?kJgLw=Os7LNXMGcZ&Tbf(souk#Guy!
ziQU<cSxjl<dE-5Q8n+mbVwwC#=PMkck=pvV=OdNeMUB-xu|b=h?ya)#b#j7^{{;_m
zXDTV%UC(JrRU_ZnG_u`4?}W@P$r=SbMx?)p)b%7cdGdS_cSHRhC$I-{3UC`6kZ;pm
zW6$)7l1?RTjK8T)$fFa%yz+Wv!#=;CZ{D(#q2ihw=ggcy@jeo9y+fOP`msAtGk%1S
zl-0g@{e>e=5iZ`l;x)<k9{-H3#Ul(wZ?02K#*T1LT@`UcNS#cnINDYr!-BKbg}GYi
z9MHF3&Ervt3h7&`JLTKMh0Eb5b{0+B<MQ^5D^DsE$!pfT9yC7^fGoRV&bBr7=ss#<
zV-Hz!w*Ay;)jz^;{lu;IxQvO)5B{r1gd|D3;Pw=|9irGg&Hc|$oQd1cqFdUuMaeGp
z(My#9VtD7fRd(nIke(5o8L`X-$6fqR$|GV>4Xg2A7-zuwI;V_SDkmu}b2jRvrZ@sG
zW-UgI+2O~P4NH$QSjb-iayKqf#nG5)ZgFtI7RmEBMhl$g2;LGImRr)|V7$<cmX)!^
z6VuZiF(RXcbq__&e@qN(N5zk^IN5-D)~o5%#wH>tLz>0=i5MDdl23g-V2!1|b=rNJ
zEsTN{_dO4$is7_uqu7}mE39JO*>qq2D<i4p;lumO@tX@}O^=IM;ZoR#Eyp%aGH6Hq
z%H-_Du&ZxKlxw>s-t$w}o#L2h@HD*SPB#;S>GaEafkq3|og{7#Y5Zk8pLIOeU?&Fu
z%(yFo<`zf|!fmguEXe-aa_ozr7&da#-Xz>MhhgOL*ms!}{MwgV?r=&BlLFtW7gf!1
zr#<EP#WZ%j-5l!nt#A3g2X&zEh8b>_m2B4y=frf_`?-u2;t=?Lr^QXr3~RIQ@H-iB
zW0A_QTv#U#Q!e_8uE(aRGVF5U`OJgilR81?HcOyz<ZRaZHKvf2JN#}gn-5nc8_r)B
zmqdZ$#}!@QP0+VH^y?op0Sp}qJ<R%95-U#ExaKV1I|r`huixJ<2#RwH<4c1S6g9SV
z+_N%)*%Rfh#w&%f`R9LryPKu)iBUU!cFY)xucKn}G(_-cLYvt*CWFPOYt>hajFC|=
zW4xbN6k&4bV_CH1pdGXNy<?;?Mz+?wmj4ok=L4rqN}@crv+@2Du`~udE9GVHq!=!<
zz9MdnDqzl>C@K^(2Ftc99*5_}apHym`=MP*NN-nNUp+yGu7SX(ZeB_3w#;?hovw^V
zo<D_BJ#<V)rVDZ#NMW~AGUIEw3c}XMzP$K>4zClg?A-y<NLp1X*tS*`Hcy2pR$X-P
z&Bq>^%$I?9V??H&qZ)EJl2^?Bq+>AU!+h?vEaIB&{vLojs{e`ib&D8dc!6R`_{d|Z
zEkSb3K?7z>lir+8#_;txR`vI_0!q&_%cR{jv3=h_{joG-ESIG(%uNaAZ=3`Ke6%oT
z@-NW8-x&U8?*msvFZ;9k*BRpgZR`m2*%a?$g345pLsT0T-1BdJ?7UeA2f}C<vg=JC
zoc%QIw4f@U1?kUv`s$+XU-n_KO{S1ajIyivtP0WMHsYSG9==}0GdYSG$mG@2TOO++
zL96$ho`62OuVxa=XJ&AEdn!yhOC7I1>zo!O^x+m&b0aOo9ChDW=wq8Sz;cVeBFfDG
zTkDzQE4Eu8BBsPAR#g+VZH3ue%M9>oW1A1xMoScVUNaNu(S#<~m2X+S2B1m~Y)baF
z!p(-p*|rodJfm$eTG3&EmM-U)r9Rg9oL_scNl_c((#&4hGX}V_N<FP$lMUL$hMoAX
zXe01V!Cpl%gXKJV-1_Tpiv_<lo=>dH`(V|KNvM}T9w{rRwENmYMl?Wtc7+bMtPHwM
z_tk@>@${mV0|Vnrr8l2N=pc8oZk@cEE;e<n@--0v9E78X1Gej6Q=43l!gFmDTo^nm
z9trSdc4*Bx>!2#{dxHZ_3mRvmE{Hq@u7A^I7P9DI>ge`h-4qRUZ%p5ry#P3$Sh{rW
ztTqz5-?(`-s9}fm+QpMPOcb1@_KNXqBS+)c_zoUb(3@ANHaRh|%H*h@&=xH?LAtlh
zO&O)n#!b(!W#VX=!?u9yny5S(ebB*90j$Tns2^OIcz2gl=+U5o;Xi*RPK(N7l^kDf
zw<#09{@n0O`>c+2@qEqsYEt+%5OUU6j0tn~BiY2b8XoaRj}9h?qckURSbhk2ublkz
z?2IZ_o+$bvq9_Uu|Hj{<rNGP1&$%&kDi9r>s7n?S1|j9xAsz+1k}EOy_^k}H<{0gx
zm-&&SSAU^b6A0b&*5w6@GA?ihOmp1hfzX8XCzdJ(7B_^4<SHrR>>n@ZW-l&W7d+s8
zSB?SOV?jInJmk@#{I-2!F9*id7eB}(+Tp_!<}?3GvM_8q{>ojH9e;)!C-pws;?P!{
zl%U99TZk2Zq$C@{4BxTEn%Kf<k#D=+aVfa=G|zFxQ$Ws|RT`eO!MHA+x~M6M*2FN6
z6M7WrAM#4@8n?zFP60>95pf8`I@LsJQo!fFc{qQ~GXL`y9%{c9Lz(Lt&;lv25_YE-
z-Lt~4R8zC?*P@VL7zn!ENI}VQnrDZ!71GAW$3sU%aCMHed?<nq90Okqk0e<_(RRMZ
zZJBSytwkONG<JkIX&MZVTY%GH{<6#=VFU&L^Bj}ofLR9J)hfsWpHEPGLq>%V{gyU*
zO^XxN+dib+Y&XZRR^{|T9wD6h6GngL!G*MQ$8B8JnxjSh#LWnQK`g@0HtRe$8jT*L
zuWmAftDlZ)^MC*}g(*3z3p|*#9jb0wYlf28dlz|f1rTDR@zs1EACA5=G5ghFijqOc
zDyKaHI8=P#nw*#b$gMlIeuS7}?T>>yM-K~N?aQ-6d9MYL=zWjUIb#B;82f8^l>$f%
zt2UW;7sglVrmwT<Ca}RPZ+i(r6tx(7wXGDvAj|w>qNWM<GCL&&FA3tybVQP;mniCe
zTE11hGRD<iv$;E5gb@6BQ%&LyF{m_bHXn&LhH-g9pn$M2GIVuSqpyhLwB6j#M0sPp
z*%E1XBwHAQmojC%1|(3s^|JlP7CN3CE&O;}Sp+Ok>_mMmrC{wN?G~R&hur45)<<<B
z$g6fLzfdT>y!Uqxj;x_$Tz^x`<Y7^;Z`SnFGmwScA;W!d<mhm<udKhjMhuHGc_}k*
z<PhJUGTu5t!+QEZxpl_kFh8TJaQlb?dVi-lG&j>AI4ZMsmA(YNb#6<!=b?o2o_l6)
zKBhsVd}r^tl_cr}<bpCTD`WPZ(WvKL8WffK+b;!5p>lf1{?aQdNM~DnYO;a`5f_t<
zX?fD<^|mQ1FHuEI_1w>j8X9hC9SVH;T?T$R5kl8$m*<sBg}rN#h7q0BM^wDz5W96@
zMrcSK>zgv|{u864$@M>WjTU+2<y&s~E1-!ST^5!1K6Jbfe?l7zQbbPvy22;cT2QWu
zJrPz)hhnNhUM8C|K1lvd=#J3FL#1ZER%v4l3TW|m^eRL8;C&YPb2^|&?=^JFGe&fA
zNx*>@Dv*oq+~roSi;#*}LJ#OBV6*4&e12OM6>1+Mz2E7f@Je;e<3SS~(tdm?Bv%db
zH6H$Et@?-wh;fZAHigh)Kt|OObp$-u(A2LqKpMA>RB)OZPN*bUAK$KlYeu&9ow0_f
zIOZN=anKwNakO;dHJXsMmL9prVT8vM&0Ah1Tfpe$aEq?C7KEJxO1U>1!S1@jA@Zsv
z$mU2-hbb+%zZGe7+HVB!HES<?d1-~*Zq_SlMcR<DYW~>eWrRSbb&gFF)`)w0S6*(}
z3(tQlXV?rHqWoo8v!Q}5^z|wZS=Z^H()NIGu!bRePyUi)bFhQ(ae^gRT^E*>lo@A5
z1I*?g2p-+YfTz`p%ZdKFuzqs&mEm$8qI;g$*BJte>6-io(YlD~`Kx!qNf#ztug3{o
z2gV}SrE;#*MM7FY*YD%ns5X%(^Jiz`70EGoTSONr0;H4VRZVP?8rdH2#YCt0>I8vX
zI!H?7`D$=g9d3_n4JNXfh?RFz-z}npU`j|KORg$zwmp1kexHe{&+P82Hfm$5%2NCL
zY-LDI%kREa%Y^@itE=XZYT?P#mvdUi3gFo^!e>Y_F}%~w=+bFTaGE}l@i{DmrD5vx
zbHz+F-QCezm#u-_N{1z=l9Fi4;_sO}#>B^T_F;oWb*%L}pm&-@3`%>#J5PEr@n&B|
zP;`JAZiI%}hp!L@ZT6sduP77j8}9CIvsHyNYpV0gHa=Lq-}X(n0kFProkvqt0a;#D
zrucyiUYvjKUEU9v`FTf@%l)}9<JPK?!j7d2!iN=gfRSxa3EeLW2%CNtqS?!eH!p*#
zFW+R~PEBpP=|?#Teu~cf@9YwT?qV+{I&Fu_rt^_{BQkKlkrw&lz+cAi6?Jc4G3?+p
zk*FFXC5-^C4#S?ce;8~!f?~0mw##){o2j%_5)Wv{@4ub+#qhbZr+7=J4era<b3f=3
z$HtKlcf#?DQGJVZ;H0h%oC4Ah74H(maMHFR4~<`pK=xGycbD&otSfB|Bl@C9m9%)_
zmHLbEs8_nnrp*d&vrFUec|<UAXK6le-ERiZaD2oGLo2Ad%Zu&g76#RzV&qri9|ony
zPV!5pCH8zNJoejN5Z>F_>Xd&jFxo>r<ouUC;x@%NE!)5kQ$Hbs{n|f9V5`rBsE-94
zL-?btlK7x*<(#l0bBU2UeKcD9g*n;{)spOEcp>6uz2j>e3;HWm9&V?a<AL(MKAl`1
zBwhNOPyAtpOqP|X%1tvc+$76+zjI^$AH^fdj1432J!rP_W?0M!s;2Mc#^-2R)0fM2
zF<9DM_vXAQPRg;B7^!lDu6VAd<|hZTxkLv#WK40M_vwEfi(DwJ>Hpyx$pu~oLB73L
zO<-65tZofEHy#>qo4d`*gLQ1D+(;c0I6nR5FG%CY$}uMIsd8TM$@u8ERxNWWtm0kI
zQEpgn<FJ%S<j0bdWOb{XF+>Ku)w&nBQ5!NIa5_W~8E3XXni!(vV_X$m!g(H0TsrUj
znh8T|-S78Xj?uBY<$7cM23|DlTkBqT6T!CUEn2&^>6qPnvuN0k4@NF&dIoW#NT8ZF
zN4C<i<$lS4(kgyP*jil6dLRZ3Bh42TNi<w{64^z@3&3Xs$J1aQ2?UD^b>Fk3p=<vB
z`JyI4T>X5|$UROHEQKp|X6C7AWb?iKOG6k1Y)ggT{z^flX04adb1DR~Cm&4x5=I17
zu9vtXgGmoNr^-w!I95k?E%b|kp!%OR_Lsw#%<Y2@w@|S!_+VyNuPAKtdFtaV6@cWy
zC%;xu!S*(*E^t~5C928d(I!gxHMe*w&4db(>slRNN)kx#Nbz+kRK_?(F)7!O3YSo&
zZ?Pegu!whw{86idxW``JQD#(ZQ!kziA*HbAYRS2(aaFun+VSl8YATvr|C~8vCWHS0
z0096043~F2)o&EX?Y-Bvw|lwQxb}8GR)u6siYTPgA|gsjMbR&%K`KRCRw9z`SE*>o
zrh!6~k`;y0&%ft&UeEJ7ujf4P_c<rRd~`Z>G|?`t*BBeigj%VNo5eGEc-;RI*|k#(
zTl?J_rb?Kg%e|h`+M$T(kt3p)9#ip~ap+a!A`>^(?q_?%RL0XkTMR7}wGsb9pu2ga
zA(+&;paCvbT+b`?sY=iRmq-%5^P?f+mETNi{85Gcfn5m_U35%bdL@y$#|SK*n6H(8
z)IcwP>d4Q~#qG6M2O@Qh(I0+2{T7!7c5e5ql-#9<t^WiXVtyIp*v$xyXmL$UeMq?x
zc3B@B(e!e)0Tc9eKYrY=qJ>{ciNAP?3}8JZ4!N(U*!0%vk(e$Ot(Jn*BFmWg_44!S
zc>!~<-po2h8`6;SufLU+%Y+u=k&=$H1wI8YhP<L{<G2-NqWBdP1__TFE}ympi|tT!
zkc1A#!s-=bdziSN{+Z|PgcYQUb<=qVbWpfWn@hi%iMRkxK(W7(Fx5^!8~B+BDxN$|
zhvR;y@~>N&5NtmEds&Swcqx?S6RHfPo%p>?u-^bgJ$J=-DHbmAc9)l?GB7?@9msb~
zAI;9OhWz?K+e^wSml_6q2M5n?>(|8qyL6WP6QCjAylQV91Ie+IT%n_Mq=gRe33Rr{
z-zy#gXa8eh<3V1D$!cv>8E@{jE3*erMWW9gJqDyQ9T@x}R7~M`@^UT*j43k{vU2I@
z`5R40PiWvl(%VL=tpltpyH#4=>R|f#HovreY7nZ8w0g1D0nYU`JsT&qQG5E|`%fmy
znA_A+;1KEnx@&IgmLVEgE+rNBi{!Aqu8{qdhXZQJo3>;v6<=oB#AOntad73sqDUPF
z98+oEb^d@Bwz#JI`;>{pp{Ahc!=ybLEi&Si%r%j;I*#A!o)Ai--Q1`}_TUbEAF4c}
zju(um)sf>ou<PxK4_|AK$7*|Dzd5Uh6@Px#ut{-%l6s{nfx{jO6F<bRxT)e_ZQLeD
z#vhj9*vF!g0$|&~__T|ZGNvB%2F5;{VO_s_?8Pg4z`CL2j!cmP^6Z5AFSbmu9&ZjU
zt$WCV*vZ@kk1#p>eL{N^WIf8dK74u2=#(8w6SqF%w5Q;=dDuc9$7hzNf_IlP!wz0U
z?~A*gq_IbG<RP`-6Kg<nA+#mj7T4t|Hs-q|G5t(cC@Qa?m6#dR%T{Ounqpqov1j7g
zuc6nyH>r=6c#3b^nqh0~G4SHq>?8&~d*{&nsD4(ST5T=#tRYd7b?jujFqB!LM|X34
zV!c^U>>P`?LQ{eJ*vc(}c=eNS-?Co=ETiPEmfcO3IO1ne7UaSYf6?*Ft9N~7nNe$m
zx|A((_p@wNSrjjr!<2_xe7~?_iQzns1PjDIjsL~o!VURl3V*L0`^M5gow;(T+Z@_H
z@wI=qb0Jmwc6l-9IO~e^{avBf=1A7BwTX1*MD|r~EuO$h)~c8Kjq3}{5LXbyZS28;
zsAm^-sjkzki^l6bpNX2GFTKp{WEwjHvdQJvo-?dH=V{6N5169-Y*@{|F*X>EEIg~*
z`irIDIyt|4#suWqZQ21zZ0L~MtRHr9jwO58Ln3#(3AoDQ?Ork2z#P0-J~F((%6OJ3
zJn+pJuFU-<V|;8FdEZ(5*>#b%UF&wV^EP8V{WU#(mxB#{(yr1$5p2+rezCHC$_R@u
z5^n@4vLR!1+e70A?0B&y@X+ccBgA!H9l7nx2KMvnyX}>h>P!6OA}U}6hxACX%eUFE
z;kV9O$@5%TIFM5^bHNZj9M6^Wl-TilZ4J+E1`l4yj`%7Y8N$<^I=<#EJ9<V!j3VFh
z;^nKYD+`yn!Z6j|H@JoawPKdpx;Obj(Yl~_XNeP*{B-MV4NkN@zZ`0EUJ&Ii`s+hP
znYgN6mM$&Gg~f?)Y}&=busrz<b2|*MPSVI_oj5lnoi79oj)}se*sA>a%Ox&)or}J1
z&V!TY%QLF=#BpC&Wrw<vKKSQmPsb<o;;}BTO4>dNSnIf~JYJ{=muknw+)+MMFS75+
z_#%l=l_uLq8hR-1xE>^vD1dXi{*4^Fq~X?X+SpgB3zNl1>kW*B@O8`lc3n9Nd{0l<
zySwYcA>Vr<L|Oz>?$P;9gR)4?&G}e3&w!_KofTa|4D3o}tvg%gu_2eTziEkUmv8O5
zvDHu<9oumG&Syn*rJ9e7FY(LCJR)FtvjjX%-ZE~fso?XS=8zjn4E#KNCsg>6B!;wI
z9oIZjg-U4s`+-9Yj4^$BSLjMZ@0{1KhXU$o9A@&d-(sM@pRD-&Kn85tPu72n(7@#u
zE!nnl2B;UM+StNmv2SMBz@=Lgg<?}ja@Og>?E_m+l)gN~Kdsr697u(aOke^3PhI@{
z*KjCHRuP}YV*^+HpkWJF);H6KdY~{LusNwK!{scuh3|hlD3QxL8DFK3<HyPd-LzEE
zM|Tlwv0$L)icRyf9|owZmsRXot_BCGIq9$=U7V?yE!k7fgtN0Wzy2O|gp}r2_NME@
zgQpKFCk>GwH*i&=Oat<M&$Ny#^}({c4ZIwujIcfILtV&}Cj5r~JbC+)3ERW!akkaQ
z$UQv#kIkHl`UC%M?}%RVaqol57u=?Z3SG<HmOuk@cH!{ZKZclpv7uNo&J4l9PfuU1
z(8iE^Vpn5`5jM*`Pa$|Lz<+^<j*mL1nrU~JKW7Baw^=Ls$}Lg**3mitCmoB1-c=(@
z@f90CcZ}??#(=`~qW0INccaPO;S4guEB*<N8B<&IooV!!zpsmk%yjl+1BSSMfjUh7
zvP1UK@K7mFJ#-zLX}nA`1b_ecCv`qRW<mR!(sDgK3?r`1>oZ|G%{>*bV2|>9F)51O
zdJw5{n3rADLz?@ZRIep)PwKZ_x?ZgZUarEKc*mvwNE<Fn4O#L_vx0}}8a?cl+Z?od
zxi&hEt*?C3?toKgtqO#ybg}Gm)Vu{%3vBJ%*1pzogon9k<cV$ucD7H)d;e8KO40}q
z#nTbv;oKT>^>k#u@0H?cQ9`LuKo~915lu22l@p0Nh`KM=9kD>ca6Q*mUS~&i<;|8K
z6W7Lz_koq7S0u1Wd@<ymlp{W=_ACw`r!IM&N&QeRh`j>OrPnq);6agO>hw=dtZaVz
zcVq)6tZIB?BH|pdE6n0NzrO}9E`;e1l>BB5FBh`O6?eck1#_d!Dm56XH{Ib-9%a4M
z5}->K+QZ;-S9^)7Ds1{T1YfIq&2regwr7Q*Jtp+}<8SIK!NzCzbVtrB;upo`A4e@P
zaX&&{9`Xp-lN<3xV}Lko%%LB;445O6?gb}NQ0`yoQY$e^)D)eZdtbmpPyWc!p%E##
znmy;rjvFVQerr$ILD*rn*w`k<VF{Q+OXO78B=PM&;yOOs;zkfng5oEJXp_gjm#wD=
zZM~F)*L=3<A;(&ii-jPbsK5F3jwxanuUc4{xeapk;<qMB@uOGl$^0grDI&X`Q#o^+
zHJt37XdT_$D1Wd0N8s2b(dnFCX?xoW;*tsTM$;T9v{@5peRqPGqkevNXv`APULEac
zLfGJZpBZH4Jx*Nr3NRNpx5T$m88$29KdiEuKILV~V}!4vX7;Hg7I5I&{r056Z`MD9
z$AKkpm+F-ydG5bAM`b7_$Nkn%mQ(i%l~3ot5VrT?`gF|9LFdg`KY4nR#m1j3(z|7t
zP?$Ire)EhOT1}E{sn5q)rw)AD&k7tO&JW0E|Clp{ci6T)9P(dTX%j!!YHS}M7=Jp2
z>Nl9et!LBR9l_5mHooxI!P_5+HFHWOqi;;05%WirGyM|_63Nl~wE77Btv{x%?M={{
z_3Jp3y_e;?f91N$mG6la*(~#8mBu*PaK&%=({2{GN9Xn(FM0@%Ia|&W17oBG?3Ww0
zZ)aJA?rh=7>mrsNTDkdXkrBehr8{FDHnX;l=4-ro)Ip>%3b#+|8bN;J3sD!YMwVsD
z`o|HBcH%v;<3wkvAwD>{^ZT1UW;KTNe8$ICBI0$wr-X$eR@#T8=B}$@MYL=;sqAhc
zq!?i{|2<|ReN{NcJhzNR@gB<Y5N;vtH1qY$Jek-~(CyvPTfmws|B&)>u9+CUB=-7!
zy#e;_q<F>qr?bj91SI2}n~CUOQC1FL^&xY+pZ)E}BSe4Hr6T!XuL(WTl)bSs`skv6
z%nCb`PaHbPnd->jO!N`q!tO45*mCfq(esqsgr5dS;kiA{#E*TnpH~j*qJ78nd(9up
z2*PhbX3*{pAv>0MY8Amib=J!hfo7G&mFpG<Gxb}D`DOg)^*I=bXy`7k4XYs@{PQ46
zzO)dLeQo2)u5^f1l+?#0)e+weqFonXw-SiES@HL*4%S^=6RNPHp5SrscxKw)Mg&E6
z=-mFIjgwmJ(?tPK2&vCu4{s}V5VVAhDlV2bHvQyuk&b^#{D^0@xE=2#jH*UPf8;Fr
zL|nf|t@t_d@aI{-YxHiSe8D@xZH@~0bd%THI9?Ftt22Ct7kh}C$)(E|*HMuzBCz8~
z(ksGtDk*S8@I5iU?m+DK1}(TZIUW(#d_zPU6geCF_Y#2zu15V~YT;(r1^sPot%Uk(
zD;0^se!|B)VOIKzCOU?$PG@Ac5q6zzI&SMe5w>E{tJS47A?1*^vdXrD&|-=hb^RD1
zo}6Pv3uS6x@7KrHY0_N;Swj}e+#MpW*KGbt@@XJ;!GB^_u7_w<e%P0AVVLNUvpS)l
zrVc{=#`6fzcLe3hF|YZ$FNAb$hQ%^Lb$riwu3KIAflyw28lk83jnJtrIKGgjhEIp0
z&xCC4C;IC%jeTmzh=Nsb>CTF3NDj>2UZeksxa?XaTH!T8{4||%QM#>)hdo`F!<q+(
z?gnu$#j#1^_qHEiDb}hu6df$jkuyY``aN~&VZ}5dQmwgWJYNMvtlX+~r-upg+?Xv}
z?#>Ve97@T;ZORB<c%}N}@fSjDPg!l|hhM}F!5vNq1eB4SBIPTq_l@|#tQgW-F;BRr
z9yHtQs)WGEwYft*V?=|W>bAbwKZF7O$C$$@Mbzi7;i`z3ARZX%d#FtOBUTu!&bA&<
zKuYO-&(-`>#12i_0?|wC<hsD2-9uIis0+C#+TJrwxG!fMS=hx%O49?|2lM3dO6UAN
z`FAsf`GNnk-o<m1HMc^&Mfl~h{%cbGZHeDR+KvxR77uvInAA}0Iv|JT1C(E9(&h=7
z=e--5W&)&gwX^YhE;$6;2p&A;@R!&sdQ~=hPKeBsJ-0pitStT{OEhz7vXMuu^lPqh
ziIJwJj|x6o$fBxx=aG{w?Bw0e_|j1+PV!04mx}(NV3W$}%<wy$WJRBpM8-KuvYY86
zV_Z!^JcowkrfP07BeXdy@QySYV`4GHxI}^M{>J#>f4rnVx0SN!FAAx`Y#gb*LV@!o
z!`LgS0^}<<-tcS5^5n9oP4y3&D6neyy_;|sCLi4pDAIOSA~nmuuQpeb#Y|ad%K%f1
zoIT`I{X|cdJi@1+-Bu`z)wLTo)DMc2ITwawbv~$(YD&wGecd95#UuRkzaC4HMs?$p
zhUFUM)*r7*MiS-mUB~;@e5*9+kgs`Hzf6lf%IeKMKCFP~&adopQnI9qMG!~ITN=5p
zd0(VftrE`f?D)?<L!LZmC*R1V)5)Kr95Nw%s@QGSaFDQ3BAdL_pZewNk_v^Mce0lD
z<Gs|;*=>@lWMbXPmfdCs<gdVcTUNMgU_MDD$>^FIDctp|p?i`^p4=OIUN}h$Qw<CC
z$GtVkG#&GVXm=y>#}Dtpa#d|e@`iED%4(4#2SVe%6dIG9ev38k&I}0L_I0HGq>?>-
z{-xUAO~_a!&C2^f_2Hk_u;NOuHu*A2;w86~8L9Ywg<Nf}A*^T#_t(CnlVWvd&q4&u
z$?QW`x36)UpuuN#>7EK*l1ord=Ut6Cd9C}KxO}M@$VW<4>!bSQr#rzk6EO?2&+iKN
zNVX-!LhjuwmSd6&-Tk`~X3a^Vn3fG?mu+xRE9~iD8<UJ6KdyQmWKI^PUgqejWPx{o
zdH9xaL$d4PjfBItX5^z4Nkwi!_PF-qO&dp}A?e)k;o-<x6LQ2N;BDIz2iQ3zlk-!C
z<SpHOqmSZ@$iV4k=TH1~g!(O~PSsC_<TQC?Kxx!~9GT32bY#H^qVhKflTR9wW(|eo
zyTa+Dn#XL?>U+*GXLvPNau|}5@-M2-+}0#hgbvPTsV>7M-Nc(+HcawXy0yCvpE7y%
zQU7K>=Vh2)WxMr4rat*4;qTtTa7nW2<?)S+v}HKnCa|8}PnR@O*Nyw{GAF6lHr$lf
z;S4L=OHPMB>yYP{KMWI8?IGI#+B@W|c7~;WnQ^5rjTGMV>i(s>GpsP7KUDoXC#1{X
zpWIuiNmh;iv$gxf4V4PI$8Sj|)V&`I;8Ij4DaZd^nZ6=|)*#xc(;FNyc>3n1qf`~r
zi_|$CbX)?%zcto4l{w&=SDe=+cX?7sk4H%4ofJ$jc@#@?J3#g0<~2IC(q!=W_6y%O
z%iu0oeYt+9J*H~f*y0n#$)gmq^I{kU>b}aZw$Fj$@@3RLs)D44{ZXaXrT@IIGxb}a
zIUwb-uxw_QlN>csA2>skMdPh*?b&b^WP+=Hz8sq;CS}*}jMrY`g>k}0>790n)e+l1
zwc!U*lA&q)k6RW6#`V5A8MgR7HDe!;)kY}py`JaavUD%Ae?>>N4c@u78$4Uq&KfLN
zG~~&qz&=xDNMY6*cUWOm+L=*Sm#wgJULXZuH*ftn#IlCbR)5{uk3U&*yCeQ{Vo+c%
zv5D1o#tNxp>Ki>v7FZ!nj&xVSC0?|u4OP!tqJP>q?D_~Bx>>j4Qx;|5SxsnO548j}
z_(Xe25hucbca-PzQqcaiZAV+D1u6<^LmZ5F@H<m3cfU3TN@jPoZg^YZysTM-@F6~&
z?#(gs+Cag_(>ARY-R5w;S{FQeQvl87mKWRaQ;>LP^}doYbND`g<=<N*1ijqqvzs(z
zL2vZkw`I-@j;3cy<j;v<+h2?OdUs^OwZXr&V`)CT#QQ`o&0Gvo!j(^D+~wf*MUgpc
zX@(tb5ylUc#IaZHOYk_KJleFb-2ML96b{;aP0H*NkP<6Mj_8v|{P)1o(Hv8722uvM
z3`wBx(bM;$uNA-+vaZz3-xPC`6T26iBoR<*>b;>u5wta?{WJwrRPfRprtV20*y!j;
z`Lq&#`|nGoeKmpO^vfEBLTNO2Gmh)hRglcHxKK=*KyK}mdHy^ZygX;SbHkEH1@(-_
zmt8eMXT;-Uf)^?1X)sfxd{>2n$v563CrrSjrMpPKDT`bCzUFVdt_DE^S1r*aCWt<f
z!Kqg#heKt2^NyR<!CZN+_e8o0l67Z1Gy3Im?y=PKIAaY6T&$FMkYfVdy2_t1LW)r3
zIglL9sR@ff-gT@h6U+|2(0t&e1b-coCxJ_Qx>}+zU*~`c`bm@e*GH8xQhd>Kwnz()
z)ZQd1DVgHR_^Up$Lj@fjz8TjKQlUF`w&_NMDYDkZMM<AgMYheCicoJFJlk$~4-lrH
zChcA+<*0@=BOBDq6twZy+4!okju`~(?Eh#_t0B)oMDG4uZ3I96bV2W`8J2%rRs6O<
z9e!sov>T-9U~SFLQ*(54G_+Jlh5KlL=<i;gqrS8sx4#j6_1GLDnX`<i|CaVRL<ZXy
z(jkDfy{98BF!1KCYUy=N1O!X{+sMZNVK}Y$RNfL^F{2`d&RUR7{xFp4%7BEA|2p4p
zOT+}8QJ;FNh0a9%^g|I0oL{dgS$e?=&p#&SwS-VHWB6s~WB>y<(q_Ls53>eC@UYdc
zZYpH|?0xN}!hq<t17->aHVDo+U$0<IL)2fdeE|>XSS2hu)jDf~M>{qpyQR~>m`XmZ
zq)Erc<K<QTRkpC@G#6?nXxJd~lVTU910i>>LH+G^Sh)65_0tC$EXM_1J|}8pE=_>H
zRhk7iwKJ0L{Y&R;i*J0egND}iXKym^u<*HR@@&F08ccZ~3Ey(2f-lPO!DVSc-f#T&
z-cvLvySn_o!L{T?A4juh7a*_pW1y514ezsD9adIoz*l#R`s!VP8AGP7;sX`wb=9}G
ztW$?kO3m@^<3N5K^LAJ;70(WS{#?wZ2E`cPYrZ+a8CRd}r7yK`C4ByGVx$VVtnWJ+
z=K}gzf9)7e3+HV$1Um*45on~|rSsoXe(d2KMyw`ua)g+_Q{>T8XM9sX0l0X5|I6_z
z4dnf(2-WkF#gv}pg|Ib1QZPAZKCO<bYmYpGePj@-Mkw$Z0+vHhPpzb@<5GXBhFPW*
zPTspe9mEbqR&$Lyhp1ss%lF7NY?4^!T{!A;js;bM?c3ZrRXFKoHI)~MBj!bxn2b6L
zB7JYZ_uWu|RnMP;O((_RI~VEdcFhhFBF!k)Rfa&JN1TzbC>kcr$KR>jLFdNdNb$#t
z*mPv`i>6Uw+$vwQDk0AnA}1Ht^KVtaLA`A?Y<)slap_ygB}rRI%%vAk>d2#eN{+5X
z6+*>>^PAJtZ6MV>$##NG4zGmiT$>&WV*Ym1&Sn3saaLk&q5K2|y<`5{cb^qR=b!Zt
zD`KsYo^&oPcuodG+%cIUrGi*1@%_KdF)JLC_AYy*D1+p?>fPfULg;;8)4FAo6|~1^
z?c4&TAyYWcyp|?}w<q>#y&klLGwo~4yD}+!UHg*zrHwG2uDTPaw$T#F$BkBrXh`AB
zeGB~<1rZo}d~1IC*#atR3h|rnN<v(vPI;%AD6}1)rwB(`V7Nd$#?w<0S5quXG^t|9
zo)>xSG;0pWsruhEK}kG1CL1O5S_~p_F8TLT%~5KH%PzeV$hJ5yH=ZhvH+#rC`4n>;
z`76*P^-KbRJbfwN?h=S<_1Ez!F$3jZ>ZYlNrF?A{6D6u70%<|~(ksmnJg|Rvz*`Aq
z<b=zv6_tWg<F)H1KTP4oyM5Jb4oSG=9G<Y{mxcvbUJ%b&Q&iu&$^8|Q7?qB`ASopS
zNU!A{b~MGlo)zEyPD|oP%L4%$CIumWPdqJtn_zlNq*%+GBz~7(d!QV=#N7*ia#8n8
zAn|RuT4T2qIQw$LRW8Y)qd+oiA=U)NiK63l4rxq=*}c!2kjL+|LZ59g!T03CKTQSF
zkj*gMQRJrx>b*c0KS>jCT5tU|8XyCH+04cG*Giboa9iOwZVX?$YFfM+1-A~Qs5Y!t
z!A57V0Hsc2*z9t1^ZQG|a*1<#+<R5=v+`iv)~CiOXFGas^><mYR~TL@^Hf7?%>Fw9
z^~T7PlHFwULk^1XW%NxA)bV_szg=siF<vZmrd;Asz<#MG_NS#ZK-tA;xY%n9k<OKD
zquPr2@-Xw!o+XZI{yEX$&1QnD(nIyDLX=R=D!QlhLlbbczt&=Cg0VbqqU?q;PK$A-
z@9)#X#b+8P$D&POOgXat;$Ia|UHFbSzouf<+aZyy4JIf|;kYMTstUuWl}_Iu&``0H
zqW6_*if7svPNqkwL8?8~Ts2P{+b3Nq-MOato#(i#L{%LXS6#l-V{{-Ev?4N8)eN7w
zuW>YgP=`|o{}B&MI#xR+-UzNT!@;0qC*Gacz->uE-pya>`0_k*$ZEYg!e-WsC3<UO
zU$?7?(0&G(R>hrzG8X85GT_9|tA)@s#Whuv45;nX*--Vt0^YN0Zsp$7LeakfUNM#~
z`b#Xn#}!-RuE-5@5kD#vUaoc13)RK3eD1&Y=~me6SQDuFg^H3CyV_A7U98~1NbY89
zw4Ix!9NtXB%BZAMc2c_7u>S4gJ#IGG5;{}Q+eL%b!E2w6<umZS!G6Vhx-D*8@p)EE
z*9L8CP1(oabiCcP*8MEI9X@GL!#;&+BV9@A5JQEIgSED)KCkSM<L?)nk)n-WTBW8f
zMF-jM8@~NL%z{~r4#jaP{!t{Uv0|8pzc<nznlACbzbuw3V52tf5yV9@n~GA8j6C7B
zz#Hl0vF}>i5L$E3u1-e_k7df28=VH$IjOMCzM$cDzQp+BVhxn)&q%+l1%#Rmcny7N
zIMiSuDyydsQf7MgKsUhqh~u4D0~MYZy$)61RfX!4JxBHq0yblIf|r%3;3;r^^>mjq
zGM4Z0^Y{eR9K2WJAEpJaP~+(>cNFj`oEHDH71*YwpS5s76Duy$-RC6bkV`$ob*&Qk
zwj|$OjT$Hzk89Gbkim~01J|aLfKzOhbM}}z;(XP=)@MoK#%QNye<&~`<n=*LR2@DA
zRy=bh5@^U^e;3XG_S$r*?PjXs&DGsEFNlgG@`uFhoL&~XqTD9yd{yBw*1ADqy(naA
zHVd`|ve3vmA06>m8B5cc>sEPTI1)ZBJuP;45p?dIeW()buS<V!cM(L4nCQ`G_I4Od
zaOLXlQNVk@u7I0E{P-UL0RR6Kmv=nX-yg^A9j?8{#kH<=uWR#p8AYjtN<{-1Q9?^w
zg>R&kP*KW=s7M3ZB$P5!QbM+rS&{X-zrW9UydUSh-{-uZuNPa0VvTRUCGM}=UuNnj
zgVxJtt77|jurqG=M{`+A#9Y@>x+5r!zV_(KMI#<0ux#{+jIuyw^-NfLizJ%ab3c}S
z;fBe%+(?IMb4+I>Wo*imz*gs+Xr+2?#4d_NZrg2+PR`*l{RiSm)45Y=J;jaSPgNIp
zH<=+cypYSgLJWoZn<W%odGMo6D`|)@14D;WS~w|+P7mY5xkEf~Rg<jocy5ZE_g}|L
ztVHqbrMpIB7B9wnYWK@iO))ocz_&G91k>-RtK8!FFl>MD@{w#4{Cp$u)>2yp>lJD)
zaNgm^FU~xr2NV;q$A!P9HIU%{-u}X__X5b`iugE{V+?!!21@s75;mV_56o5&#9pnd
zO0fpU_@`JiwcnA1>2RmUrZ^$EWj(ISFE@gH1pS_zJ_($Sx8}943Pa#p&+nv-M)-2r
z;iZu_369ExJ5~Hi_|*E;^XvcvA?y8rN?VX%mc-J}xk&_1HglIfJj=lHq;Rjf7YRl~
zz1K|~M4_Si$=64T0hW5bTCF=I#8?rJY@Nk0EwFB4sm>5wdDSDA$4R)9C&KY2P#h}<
zj3QeO8KT<Zo1+@Du6q79qZ2nJU?9sIWUFond3j-*hI$c{w!2sec1nWtM%AG=eRMpQ
zfw8x%C>}VT(>BtUhTPp1$NmgD{CaC5XQxGRPhqI^YP<{>=~F+Ig6O!GdCKi#mKfx6
z*^O=s%3&Wlww`QF$HLUNQ}iHl<o2cdWZjhqF6}5ymZxLIR9<1#Itkpm=x9)~S`jgM
zCiUw%=!mizQB^mS!~xsSSRJl}>=9Nip+7Y6927T=w30&NfBkZg{gh!?zozZY3=IXO
zeoYZKX}Bj{zaG4e4Dv)<+u>yzCY;05u3wPBmZEc9H=I?_ZT#huxFj7%mH+bHekF^G
zYx$L5IjiE)Zx^i+D>^I#TJE2akcYSA(-CDiHM|ux6FYR24)$c%KFyN~u-L5Mv3)lM
z#(^#EYb)vK2`OD|G08kP`%|fte(K0|YL#Nh7~<+$y79nEC5XSUdOjVf0T-U)le`xV
zAvZ60DEFK)*sdN5J@2mx78S`ZUtR`coa1A@Zy>`|VCzn7(}Dwr0@70%m|bW(kSV8v
zRVtS=?=iH&uz4(+XK#cY3;*B;KU8q~KL?@9|FjWhx>|gh-56(tnpsvCt78An#!s>L
zsOar;Zx3oShRbRxyO6VLi1wdmT~X3OX~=noPJs!|t6Pn~x1=Dl_eYuE5glBVFK^1c
zV~P*=Eka&QP(WrB$u{56!L}#L2ahF~fn0KS|K@AzAe~n~N4=nf@xAU%=dPLKiQh%7
zw+b2<Y|ZHSNY{az<+XsxI1Bhx^4!^!paJcnj<{dhRP;YT>*X6`3ER1gwflZ)Kq%+f
z#pgZR$YT6nWSq1D_2J+(AuUZ@iOqAU>ej-95zADz2Z4tkA=|&(X+qOmCYdi=6Lk*R
z{rAOyh|D#IoGmqxLsBY!ZKHt{;gv$wAmFz2#<G_pnmARwLyWzI0_l32u#RG2=%sSd
z(bpOnxX#9^E2)NCWdF8xGr;(#O6BicH86Q2kiO4H1qr9#ttynWhHdfAMEf`DaQqb?
z(3h`_S8>~)jTu^_yQVhhm7+TG1UgbQSd}oLASJTJ!WzGB%;(7NqTu%FIiD@B<&dU3
z@o124jna>9e6bhR;PODVEv{G^s-hA@v&{O@XFgjbWT@gJ<;Eq$5eZ!SJNSt_57Z{R
zue^Gug4@H#*&98?@P|KH%lIweIz3T;xtxq$ejLqPWkt{=zk!`29$4Qf)vNSc8P#L%
zZbfRsDEB0hH@X1kw)d~EZ&Jekz_?wT{|LaUNL;s60C=Jj6ZN@R5lI3(11}Bupnbmd
zSZpMLBbQ53DhA|n`?b*E(kwT0D6XxCepsRRLFP6#H95?m$ZxsA;KII^Ys)(~SfNu*
zG2Z*M49qO!yxN92@VbughumXJB(&D^6i!M(V57I#_Z4=`ckDLP7GUziNvM4;ToNNE
zvX*2+*`d2DR<<b60>XkTmxA>qU|;?><Px17{7$R5^4^(a!mCT^)uI@<-1=K|&Db&2
zKfbO(&m5^PuM$K@MG@K%)TVTr9q($h8?GmsA(5i=pWLhn^ep`2AI`F)yx+|0^s*@`
z#6RUb$cvzvv4-C<nF9?yU&KELm}1I&LuZ3G2{*_h-5LIz2uOcfJkn)?H)Y1s*>%Fu
zeVnv8)SU~3nKDQFHk#mAhx3+CcEUhOYyIJa+_-s#Y&ltHj3*~Ph{co$;rj2liLU89
zxFILD!P3?k_d|C(mCFmkh`IaXG%xrMa0pGjGQ#*|qJw3DAngAg<6N_w9}6Kfe$=&0
zE)<SX)eZ^5jQ>Z&o)H0@;wpKd(9Xa>%07u|PeF*IPQvtxAQY|Ena_AKuye4sF!7`y
zVps!0+BJl+EVW4K{%wfy{7iqJN<kcc;ovzVO+uC1o^XjcL+n&r;iOZAaQjXSw;l8S
z^nDNf(5GVvlHU4en`$9cbU*$4SVt6Zc0EbH)J8||k$@%vLKxwF>{kt3#PICE&BDOb
zOnr9hAuJ1o(ZwF_*%K`eqvIR`!@5lU+(r*IFeZV%`1bz$4hc-0999n*rs2fRj9YB2
zBn+^K9}zT`Leoj7`ODcfaH>a)_nr~KhH=C8j67)^l_cWZ57IEw+-oOfEs9U~1V%$F
zWpPJ3yzd8SIM;olvRhIN2_HP_bqC}Slu@)XNtTA<fjznz?BcLt)7Ns!P{7esl2SP=
zG}KBS(0;)ofw;eiz8teuLT$=JJCP{^1i!v@ZI`Shl+GMc*vU|aI0tRw(@z7mm`lrl
zu$RI~@n)xf6EZHE-A<95Gk_)c@(d+L8bXTKGR*B&5Iv*A;2_c9=<(y5;ddDvf1i-0
zv0D{cfd!V|O=(ElGR2$ZBnQVTYTU>fHGFz~HjVW#4X+BqZ7;UUW8>=NaD_|?77S9a
zKd+);{_f{*pL`W@dw;`hX`?y}eXN^ol<D}b>hIDYr34Q70-5nC4RDqzr*<aM!P*_%
zH0P;|_*UIKb`dRv=QP`fkPTtK^TKgiTQb(34vG(>Xye=E?(ni&LwIQ`jBeCWLCg_f
z{Xq>X^89zCubgJ!cKV>3vXCm&c~#`(M0C)zsYGyQgApha#@Fx9s$$IVP5h=V9TXp$
zUzbWZ#;QTK3!xoqP+&h><aS&aRN2@I3>_2Py6bF}`<MdBAdxzbVO{))H?ChaHihAC
z_6WY?>ezq#LhM~xJ;cYSk&HH(foHQFD-T@*e*$&AgN60*iWc`oF~l5&oZ^eKA2qN?
z^Yw^Zl`fW^iYf9WTHv5qZ#iv`CiojCUwLcj!g-BU*NGRFSg5#vCGf2#M&{SmZ*b7T
z*}W~Fq8hF6ZqIZ7R+1JT?qfO7N~WUpN<e^Y3xVc|6>$%`7L3&I_Pj3FLK#_%%WM~*
zNNYdCqN9b*$UO3tvL^b^Mvd9N26mkJGt{-DiCnLZHSs&taVM2OrAWpa&jy@3)?{g-
zhBb67|F9ZDk4Xf5_OOQK=l1P=>Y5n5)@#o=!|b<0a&1|RHQEeAIgdnYU~WS)D_^8C
z_Ped?wa>H$=RCEbwMHE(p@RXQR7F^mdL`6ytq~P*=tjZ-1rnw@y$UB}p|WIsFY}Hy
zSZ{fL9GXyr2fKXrH%=*BK47eu5N?gSNXDGWm@2b>p1DW5#o+VhqP@r#YaHu+l+OBD
z1r4FYW#haeU`aUG?ImxGmu8)g5!GaT`F{IBuA&g`ovVp@^9A@QrANtlpp2%T%*vV`
zK3G%9oq<fg__%bwERR>h+T8)Fc23-=GBxP7um$$n#F?9LE28jfgm~s&4y?-$IrqJX
zzyOz*UE`u0sDm+2sG@9m#=9f;H=O|WXNrUkzbs0-9;Q04XTfT}fwQ8KR?v#8a}P6;
z#*NmJ`gqo5;<$L<A99B!{;C`eH#jGWlS3~U%{GffRL)1Oduo<IXnc#wPjMvpwy+)}
z76|Hvq?$*^EMT;!t~TPN7@EXtpUi&!N95q0rxKGR26`VScTh!9pe;0Untg#VRJ5MG
zp<<35|L8A5S4c>XIw8C%b%97~U(vX5#te%q?uW!@g)zH$&$~2bkuYta{H)h)3M%Dp
zq&crJT<ZhO1%56O$-}~4?Sv_o{z_UoGIe<HhwqD>Q7gph^v8nnStgK@U0@qjT!r5z
zsju|%S#VP9?av633BF@)v)2+o#Hv%f_=;GuQ`Ew?BHS2H-}43c2=k++#5BgSlMS8w
zg2&g-8o^@S>4Gb6d{9^LpYkPfAovpRtkr%ayngDtrm=|^Y+BVesh*r*`FQ?v#s~w_
zpn0kv=EbH)!-oC_E|k@r$d28|fY8BTSw~m%B6-~Ab&Wj_IMZFtgeMG<RdDra2YB&k
z;km)O9$us$;t5%M+z`s1OSc~H<ptw;fYiUM{3yD3{nd6JL$te^e=W}Eg*7GH_Svpg
z$PN$^54cUo-u07Xtjc`&KIl~UV4V<>=-K@b8FbiwZ)oo?;)C3<VNlLPVQ8oji90^f
zFmy+DJI`T$v^*rOE_g*kNr2&KSr`qsVp#2bwg{k4Y$&Vimk7j+y%H%ZG^D6dUz>QW
zf_9gkNT#kB8vG84{A)LWxn5x}N3<ZGUXqARh!97=zT~akO9rTADQ}GaDuh>8Ygp*h
z5{TT8u(4vD0e;WYqk5R<Fiicjb}>u}DxW!1T1W;6k)DhhWahhrLig5gm65^Asrow!
zefqeSQxU$nR|Njb{J!CzWbuCd@uN>A`gp9C{HMcH6k1h{V&Mhy$bHaTc_CFFf421%
zsvi+Ur>1cqPmUtur`S@{F6(1tN{f+xR~*fzld*a|N=T_JkKPfjj|1LAEdzZLIBvd^
zo;;_FlXH<W^YQxlNb-n0XdwmHt74z5lvI#-fW2wtp+4g7tE67bmuCLI(@RQQRB`!-
zN5!)aeY9Ad7TRJii!W@^js=NoxX9=HdWm_jUAL??eS72(MXGz0*FynIcA4HOF9SSg
z`Sjo4WCh&QjLhcL*MRJwajww@1C*yROq`9Bup?5gEdRVF$c-*TlWS<G=-MVj)>MX9
zNMAu>n-&xpx4mS((GX!;JGNhy4DMYaKf<J`a2VrWofSvN-(q4$hoXX|E_UjulMa>(
zHt+HGFvR;Fj*cd6Rn!J=II!V>E)*9iX}9bcIA&~EBu!Jpz=jAax4#}vlH75hnRkrT
z>+aAP6kM1&TKYwX*>{R__N=!timHBpxTUX-+3Cf?4j+A_>WrSROfo@9*z9pLMGX+V
z&rDy&>BBi)Ztw6HQ^ba=w*9xDfv>^bhVQR4=dn&DYgoq||K@1ahn1S3^Av5e4bn%1
z%F|QdBP}3t(apWaM+*WWMWtDC`Vjd(>e=?i61B0Nm#8CJpmfF`3b)Y1U&?d+ehLA<
zM(@+T*36vNaOzdXhz@o>_LrE`1vt1yZ`KBB<DY%5^o$)9=DR3if@MI!?Neu00=2>G
z&Pr1E(1N)6YmG7^rk;Pl%P=<42EY4o&!B|{Xp#*--=r|PAZW6+u$|fWk1<co=hX1<
z&7k1Yh&4JTx0QxK3wBWlPKVr6!I`^QZz^wtBgLJof1YE`&#I!Pz+M?!EuT9?n%F@6
zklzy99St-+O7@Rgl8574UYlui8@TLQ$i03;9W!GazAHSChVQl;h5I#aAV#G}XoXQw
zRPHeF=Ds*)e=O9TVYdNCMypclYBiAF`g&jB5<#5Q&E-|^t>K_^{d*CYDvCX|KkUw4
z1&fBeG4j#Y*r0i)V1&t?s*imOmz8;tm9zP3vY9mw+%b|DI;{+@;6J?SVeH5ge-&gj
z0DM(F&)CHDZHtf0e;U{^b#-lotkXr{pmCiihoAzKlD6M;l$$5wjg}b$8i3ea_ObP)
zvS_|LQTm_jEb%f-WfL`yK#pj3QqO<V7)<iqJ5V)A*uJyL+{W|?JR!3s>Bl4?=O$Q9
zKRQmBl}8R(@mOKT%RQ5FSsZMCHpwe8Mu|0Y>!%#;EfEzcR`KDDC=^-8D_o8Y6AcA+
z^mEY`(54q2RMHi}>gnS@rG5_)`tk?)Vw=s8c+K{4;Y(pmuX14fePWo<-Tla=OWGVy
zyAJwn{>1e0p*b$q9V0}R8vVjUe>1fH;0-m36o5o%tGv(GF+wx$NT5QQDZc#>(0qQJ
z52B}B4Avg_NnAb^)MYMaij+`MTiya5#2t6A{9rUmXkF?|TMjnC&bPF^mg?M0oqN>i
zKQKk~q-2C_Z!?B?(cfyvPELrF>d!tanjv_Pv9Oz)7^8LlgR3@G9MIG7Y})$pH^JRL
zxOg?)2rL^#*SUXTM_s19$*<DC1gj7KkF_Kt{CAGgD?nj~j`oaL!|*(Db3iq2YXs9z
zays@(-C=`&5G!lC?jmvcdQffdf+1W+q>dz5vO#+?KQ!dpGBKdXP_jB^h}=^S^1nFP
z@LvzlKAC71eD2pgDDan#3Ln$v$w^kEJlY*F^qG~Jv&JbBC+RrJeNf}|3M+QF3Z(tA
zV8<MF;p-lDI$X&wsZ)Avs3z>Cc0A`mAM4xZzi~ADJvqnX7S0AzoQ7wL4HvG-v|Sok
zqT#Nh%wO6h8xB<j80;J4hHv?m=Wc}tc)=S(l|IXkqt)B1i}QHVkhphl`zB^yuqz&&
zrgGqj``NuO<N0A$#cd=%p%1Rsm7axp4xD&Y*4A=s6#}%UK6fy6+j8`?OXUzJoYHPw
zzELj(zp6VYYR&a=V#Qihe3lFRG}YZ>LL`i2OddY?K@ZW&Kid^lc#yXtZJ&j!2tI@#
z9hbAz!^g7be%m9w=ylUzZ_F13t0I5w;itOTd@@^FcbpF;T%AL?>f+e-^zXw6hAswu
zWYcS-1t3+s%<;QS0^!b^3@+E};LmWiG-Z<@eigUdmW4>cOYvSBSAY&=M^*Q?C<&ve
z=vn-Vy$lrU>)LV@bfEY8eeh;|5+3_bIp46BLzCz~!LVT}o}CVIA9NGJyY`|HxjhQ-
zmYwu@RY%1tR~3QxH$`E?Pfqo5Vg6U)(qf}ZDza3rHEoy`Ls{KfC+&;M(2uy-_O+dg
z)r*q9t_Mos*s{3y&Q>zA49Bji@#w(pT&+jOiX`F;&%8XNqYCS&uIl04I_TW%_Xq{j
zh$GhQ4^2_Sy7kBFcJ}Dt^261)KZMI-sDQU-le9X@rz4)qT++oOnU^=$2FXL#I?dlG
zQv(^BGOK6(^uYbD?alWvMbI+NhY6WzVW93|Td<`*HuN3vjA~YbQ1-l`XR|g=?akP}
zXFwm7UGAI2CX`XNICwzPTL+`fPEp(s4N&1KT&^jtf>k4LT0O>eq4^}w(fT?K*Nf9C
zBpg+-ZTX<IosK^A1G9<MsdQA4>i@W$Q-k*R<_C%G`p9ue$#s8ch}X`!nfr<;i0&?Z
zuHk8b)xLo|(Q-ymIQ%noa#$TKN=na9HyL2UgCt=RYmBrtk$bNQXd+!Rgm+q$2C9v6
z>`w_({Amu`Ev2A^k5_^u?6qjf34aqTR%nKKp3&iYF>SE@{$A_APs7vT7mV3G7T`Z5
z=zL{F8)sVR-jPoY(D`qKt53iRTR*t=p1(%L;{Nuc6?p?3+10zb;4y(KA@K8I&gZ54
z$f5F$`Y_uze9IyQX!Ylc)wI_^CaE@GEnXLbJRCz-8?2ElVU>MitqwRpK6t98NyVoJ
z;Vk4~YZ$0!T2WT%;O|X$clt3+NTeHRuH9>cnNPV*9`RIMQ1x5>lR$y<((Bwi)i$8s
z3Ysndq74qitklulD$q^6O|D<E!L|2tWSw7HP?4hd3g#$*FVfXfSK1cam$k+Yw`k&g
z(#xK@G+BHV-k$MJ+!j)H0(<IWG@u^cyDq^=0*@MuxjO#XfH!V&3x%SN!zo`UY{E#0
zGIiCnud>1V=Bejh57kgJ=KM{<gAZ%JKVUs~)CLC)C~JpRRbkq8J2z>X4Wh}rxVxF0
z6`l_C&%8y3N>X?1h~GRBoycG9S7HrbeI=*EBxUfqe66xw|BDDMU!deWS!3eLc~4z6
zMO;k0CT;Wn3t_Y>raZS77#({xVQ43Zo9bGF@8{DAmq&m9D>?|&7?O^cGWqp+`m=s^
zW=rMa7v~0Smk31hlU{E8ErHL~^kY})-zpFHmazuQ6Od=)nTxzChS-_c_>t0Id6w*8
zRAFrerJ#J{b?zdF5y|D-ZZ}kU=6k5t=0HpQ7+fGLZDsoM&!OtQp~ID8DvztWk}V*U
zZ!6lvvI>*_U2E>27_Q|1XOn!d#T+qQjoL8<yl79m>1>%kRQV_9zF?t%IXa&G=#VPm
zLU+~Ks=ca%m3s%1TiKk<pcxT1bU~a0`7>|lgbn&D%`BgAZM|WNub2L7G^t>PQFlP@
z!(Y9X>*o7kgbXrslZy*)iN^{dZ#jP~|IgRTqxTb&MNCbwx;RRnyJ~?5EX%Rn`t?)g
zcx95_?`y`mc138_qvSaP{{}v!KWVG1Idr4AbHWJTdqwW~_WdT>$iiH9QjL|F*8BRy
zU5t=7#l0L8JwxR3$7WYAS5?wuIl~HHGT<AsQ&%~9inuz{^{6uAQRRb#a|i9!81Nsb
zTK;-GK^*p;7;yR*Pt?5l`-Cge5VHMaYh63WiD$y@6_)x%M7`&`yN%3z6wn-ExZ(I1
zp^^75LNKb9SZbKQ5fV;EOrh!>*Vqw4-_1lJnD(A%wo(ZAv_QiTzUaIA*@lS^xye4N
z9c_f8(E9J+PSCKK<l!aLI!HthZhKd-{E-N>X5Y1c$pBmOSrb=J3=sb!Snsqbd?CJ;
z_#gJYV1PMm+ntmx1H`+<8v*7-4^flv^5lhp0Yr)AKI&pWQGC^pr1qkZsC^LTZg)!`
z->&4jjeYAUZY+<q1a$NhPb31iFKaM4b&1<_VXmKepOAP|jBAK^!TwG;{g@u2P6beA
z)(jB7HVQq<>qiLF-6geKGjt)H=Uct5Zh&wrXS&xXV}va=Y|Fw29hC7&lsO$4Bx2rp
zeWV-xBzi=+GY<*q;C*|wrKIZ+5y*bX|HR+~k=C%IF>5UqHY0J5Lw64oqgOfiU-X(H
z)~h}{b2e5RQhL9KhmuE#(X_%XI=`lgtASTS#y@D`X3y3y_qoQ1bQXE*<Xf`@nRQop
zFIfwf-F4?<GJg<Gbr-7H_x&MO2p`QYM>V02?KH__KZ%cX&mAWA%n^xxu_gA+8lVcE
zq8vRpK|E$DPqK>oN5uMFm@e1Rz`AuBDi!^c1T}MX!u;DJG0L;s@AWlxh_$?9|3sN4
z0-{-XvV&HLh?v=3M;0j9KCneUBX)*RON?0Er@#ur=wZra00j|2ah-}%zlqtu6k&rL
zHta5UyX4oa2J;O+tn=UfA^fj$ZeQHa0S#TAaTyOauw6=IRm__s-ud)xc4crOwEpDs
zu5YUFb^mWRuj(I><}==rLGa-Iio4fcKUE}ex!x?ryF}D}ZBD2>&4-_|s^#8uDj5D)
zLb@5dLMVkt9_X7Dz^=dFoVQ$4!H`}e*KrM2SgNOvKFJk=Po2$+)pQkP2c2oM%437!
zny6c8E+nYxziBe+A!ECq&p$DD4y+Q9l#Bf>0w10b_q|DENT!bVRMWWdT*pK&x>^iB
zn{qXrc98Mwk!FRvDG!FjcR12ZBrrqGHGfMb!;4hhY=4LkXUsDf&@To3GYZ0d!ek`f
z8g(!l6oBHBr1)US!lPk<qmYYP-_mwLIzb5I>&bor9r6$|IzO@?N(O1wz<jI?(?7*-
z*wo1M8|Ay7ZMknw#&d_8VddXMu=_{F(W%eMc#xNDpnIMSTElS`B25e*1aikr&#9m%
zrf8*WoQ&30VaIRAO5o1(9B+lSY6w+d8F|NCe;c3fCXpcpgM)_$EezE0!TzYcu!AbP
zoy-rX4#}W593t!{niz8yzH`@J4d>&h)sJqI$BitFpfx+Rp)1!A=oU?Z?&iIl=H?WU
z@aE6EH}N{~;tFVMl+Zx)QSZ{*-pVLk`^4qhXFdGBvh-noUK1QWkKV5DCBxWDsQ&-C
zefj>Zz$*(Xy4!hj$-$~{z4EFf)PM$TkxiqF=;CMBSKX~b6bPIiT>ajfj-(?GdlOj=
zaA#Za)X8FXSha2(h%`3Dc)Qa=SpyB~Z?m7R-K&Yh7>{WRCj*V?!KXVK4B>wL#z-))
zHiBsfUp1vLu-@K(rEJLv{{sL3|Nj)2c|6q5AIIJIweI`At+l(Xn|<#(N=ZdXijY*U
zkRuVLRE{X+EFG@;IujD=GfF~4hbVVN5;=1pKfizHF*A>O%)Dow&(}<{k>B6Dg9q8J
zWG2~33S3dw+T?UM0!wE{zIp)ySlsza$^J!wH-DMu!iG%X^TE;!?#?=JnbR{p<RS$s
zy|;dM_?d%k@cmC;iA0cz=KpfGS`Ta~CAB*u0Ct{ZVQow$f)jhk)v*{|c<gU}u>KJZ
zG@j4-)7}svM7p*)X`BRpuQirN>*#RjlCIq6Rw79K4BN%Et^;YIV?|PV7VwIl9xi!@
z2u9iy9}J7NAn+Dp#QLBmgj;jF>6#K@`uD?VJwY{SsEb_M_-qOFgSu~1Ty)^Xz-rJ<
zA4L#3^KFb>+zRmNn(P^)+Ta&mITQ0j3Z`8{x+%(5Q1x=XZ&?EmV;=al8Y>~-kGga>
zf6Ed$GJRSj^ff_#mhRQHhaDOlkLl)CTEay-W%H$!I+UF~&pRNsKn+&bv+=ODgbe$K
z)}j+CP^%Vg%yG66t2iq3m8Z!9<N_6(11gk2z-5co$z=h1dE$FXx2^>|EUVM1Jf{HF
zZ+LJv&WtFLtbF9g9Xfn_SL8lYA`9LDbXwYbHk7Skl9$X(2l4XphqrD>g8d&eV&4ZY
z^j*&A`#nDz?9v^dQ+Of@sph^RFCOrshn;6HIei20Ry04uFC+w}ChHNG&heu<4__f8
zJAmKr_x)SL_@TDvn~dph0aRc!ye4>)3TxNx+wz<^A?lG?>;4-8$i;J2V&k?s2uF3a
z=Ducz@F<63+k63}^hT}gSCJVQUbHEDdU}J}u~+%wpIZW`J<ohW=B+7sh<@(ZIkZ4M
z7+&<|<!J%Li0*hkoil;>`p-Bu&vB}+?0n@dx&X2raw&MMVFHV^ePU5@pQsn*$G`m+
z6hIP7Dp%Qkje)^KN00cT4y%?@(s<a#k8o}{+^=dQ_}RSaM%5g|_#CH?KTP3AVke*}
ziqi=Ea`Qu29{k3B4(mJno#IDT4NBpX-iDAnEOQTca~9*skZmbG&W~0T^}Tdj4B*l1
zr<)JI|HF!DCiZDp`H>xmP>D6!01Ul?S%N;VVEEE%E|X9EXpRV4ta<v-a>Xs|e8dK3
zdqC@3n6dz(m>YAeN$LZi&fRM}0vQkk=tMsa6+r3iJ@L^Q6mXV*(3#1_g!*1X6w{yp
z@}Bs;F)2xbkyj%Ze%)e5P49$amyY02o62;!Z@wPr{?+z#7iLB2N3P^ZEaFh`UsCRt
zt{$|}7fzO6XG3<1HQIj*1<^`Zfi`N@1um{14I-QzC}u0lnIT9BT~9dI_sLrqE*uGP
z^t;N5Dt(W7jvf$3-uIjGgE(~IxI0g*9*!Fw%35_acMw6QVZyN^Psq^vA4BYeA|9lf
zJNmW8PZa$ni~2-+l7Z}9QubgkAKI!~@?v}_hW-YAD5;brgArrHU@)5i3WyE7-8C<c
z!giUbG53*xAo;XEcvb)fMMoufcuFFi$!>nmd=iuwU#bq8z#(^g=7EH1DP%X#TW}_f
z1g{PUd|a3lL>j51<ssQJNB~(troaE^s+phz37&l6W<JIvj6yf6N^892kbk&*SF14z
z+BSALvKoq@xL6!(dVxHuW8BESPar|f-iEBjFj4f;bx~gGkpj9SKxluiLxMhR%SyRT
z480ybnf$(15$Q`e^*B;V(Bf-*+>9)Nwg|$mPrfLjZ2kAQyWB`n`iJ72UoMG?*M6L_
zVNgL&d4DtBO(DUWJd4m_x-`=2XzPvFRYf`T?@i4=k)U|4g>mk;4C07aH7fE~Lphx{
zf0=5Lq1-Jn^jLu$a@-2NAW^K2(q9HKi)WERssX1F_go&?kELJo`lW#!q^#nJvbw<2
ze<Ognz3yK^!u-54T1el4z))VV3uV5A1zdL((b<TQyjxay6j^J^?-i^EmjiB7hHon&
z50NtE5EpI4cl00QT{;D{JCAnFrYIw&lrkT^eFS9tY;J=Izg?dKWe@&bQ9;#DvFHEE
z>!6z@Q<lfH4WNYaX3FSURg~cID3so)gC;hmtFBub!ld|$h`)y#8ZubLn+g-r-sB-=
ze1H+Kn0%1PF;Yhy=a(~URf%YR#ph;Ofic_&>j*U1P)A#!{myZ_zsJ5rH~Uc&FqYHE
zpD5Ho2N@ndeo>`^tmdwnnyH#WlJJQyQ6x<yBjvHqIZZ%&dRyPTIBE`m<Zd69&D2EQ
zQSUhHd$mztmRm$|5*0#IZ<SYl(L@Jjzf5t5;*rOHZbdWu0NVYs4=7J;xA!=|@$S$>
z#FqXduXcb6i@Ma5E={D8`qTB#q&ixk5kKuup~3TZXNil~G*PvB%F_=cs_33}<?xMb
zG^ljH(8?^TiOAV!Pp#D}qt#NGTKZcWB&)Osq(o>SHFK9A-HD25-kfV=W{L)1M5+S*
zR&CFF>vJT<LmnAr$=+n$+<u1(r*3U@sv*mv2!Y~T(rEPS%h=b;G_W2W6!7d+MG;5i
zb`lH4(N@Iceu-fk>|1@rVeni9g&w>ztIjEcXl*d>S3`phhH{~XG-Z@t#8frjibMM;
zf;ZgG(;(n+#XW9sC8W47GstC-7kO*`=*%&u!8KP$ok6l9`WYABe(fIz64<}DqG}3&
zN}A+3!lZ!0E-tgre`Y~!MWx5KvH(6Zo%+OCA%}*Kp0wi+W<)C~yYN?N0LSSYA%s8~
zB>i}^<xtcHCM0y!kE@*u;?|Cm#GO)TIiRIs_r4Wu|9+qAuW(eTwPZCfrb-}IqRg%Y
zlSQmKCiG;WlQ|3ta6FtkD26QfdNSThEMR{>ecWiuF$0<3cJor{A}H(0u!LvJ9A+Eq
z5zqd^6bRK>O|HvA=*8lWv|zP4?AeRcQS#cRfO#4wZ^j6s7pl*tPf5;UQe9#~m60ak
zM1E{mjK`sCN|hCduFhdyu174?+l`?sX)v2}jUUz1Z-z4-p2yx$+Xdb#7{eRk?%b^J
zyy%XkPher(0+y>C&RcWN2u^qS88Y+ophFDVf+I8kupU#bBb?t1A-3iW!%P?#>QT4)
zz9(}D`y+KFt;N(3bmrzMBhsA6GrBU`ENBHYwBPEQ&ocmFBj*JBHFlKsFn+IB=o+@_
z&Kz@v-vDxLC?C7|*ip?X;f^c!H?ZSE{ERU%`tWYKEl&La8`7hZ>tJRJ`(t63_hp^}
zzC-Dg7A>sE>B*W$FNqQHP}!N1{U}h8sIY$G1S^{88$MSQ&4lb;7mDZq)`P4=$${!*
zR+M_Cg3Yy`8JP)INh|v5!Hb8+LMN11QC9*f*=#Q>Y8i9^!C74}Ki>V!+n5zW&C~_f
zUN-cAKQ`#{IbCSwn0BuXWkr$RsgunS9O%G8uu2-2F8KRB725Zi6%ptGH-G7Jp{%Rt
z%?{;~VP8VilQWKNh%J{<RD_2Iah>tyV=^Ga{^+^Q*UM~3o^n3Ml!Xti2dSjhe<p!O
zytSgvOLlbU7XR)>egQ;{fBxZBI0^Q6o-A4_;6S(<FLEvshhArKojoc~g8PlWd?gi}
z$XD%UR>*NdG!pco;m>;_yb~YmR~q6%r0Aeq{7;2YT1e2D_BbMxZBz@KBlDmJL6L47
zaS`;5KPe`fN(2_h28^eK7ZuUxDC-%bC{MKTbP5v@Qn~hJ`R(CH9Iq~JEbEG+7fucf
zPB}Vo&^RqvCrJSD^G0fHPD!9QDT`{_7CMkD*H87if<w6rD%1IIrBHp|Z1TxX0zAGy
zC3!SU5cR*k6KDHM2GvO0ZHjjiz(a$6RN=J{;xD_Syfr9?GAOG)Y0n6-`u88TlvM;B
zy)&w;&aZ&dySL0P)Dhr!z`50V4^hNI{Szz!ifHyHg);Pw0BsA`|Gw@OLw}Ca-F{q9
zLQi;Djklz9;2ZJ8kLptrXwhwu|N19o#FF_)<MIU^7#FnM6c(34-tcriY@1Wf3O==E
z>_iYwe=*)TERC3|TVpitsiBW6%n!Pc5#iE+^N>K3EE3^brRWK1Y;&Ho*YO(>Ry=nc
z-hWgc`C9*R+DOnuyIOIFtWJ^Oh|yaleM$k<L^V`oG2qd0Z(>H8C>gZ4XuNNt6_NkW
zW5vaO+Q_)Oq;6z*+bdk-9<gO9A;*d1<@=inD9h&O<9%(qa78vleWF$w-DG@`na)T=
ztC*Cd)h9jh82I?B@~a9eG$x*JP9&o6X1+$1H41dal=yWos-i2JSD$#U5z%?8!dxLR
z0E(zl^$M3dGU)aS9kL-I`C4c7l3YV*b6zgy70^KO2dRETr%7lurRQ4@&KNS1uio_C
z(m-52%f!l4B(%fuOli$c6F8Tv_eS)iCNe5&to=zQp*;e7?^TPNLE(r`1K$NL^gB@0
z>2os?`QCX_(UWBk@eca+RjhavbNEM?&Nc_Vk}NoKSOLPOO&^*b!lQkB$7eDN35YQJ
zq`$WUz-->3S|$>Y6tg4EFBalaQskF+o;Ebl)_T+#>WN3(<l$$BTs2Y7TCZ7o8x3Cl
z^a$B6h({lLhZci+)zEh%+0(WpI?Pv$z3)iSLQNSjdkb_`(5!`#p3*rw=&O#;@^xyW
z-N&W=WydKZDd8riv?4lidY_r+`l*3h)m$CM>g7<v-)T+nXLPW={DDmBQb$dn-tV|l
zEQvT=yw$Qw=&*qo{cj~(4c*k?<oUNCf&|~+zbTPG2e+6bmrmKLA~J6^$L%s43Ve0l
z!pngU9T}PV4<?n7qh27*vz;69a!yPUc<2yx`=g+LoDzcGoS8iqtY~4-aZ<IG27Eb~
z^NN@vI(9WGEj@M%<9@RDO!*-iY|@)5Gb^^eD5=Y|Ibacc?r?49)gr*)Ye}+Ifh<bW
zyEuN$@h_%%+VJb}_3eFjIyc|NB8@(h)XVC*eqeeJEDv+50E8;94}`@_p!e!7H)XWD
zF`PzWPi`m`47~nXuM@=3$${=LC+k-jgHr@!;X`w1%|Q&&j3TJL)X#raEDa+&;Hm8&
z&EPY0SZCpuAiDq5dk6o*e^jb9n}s^N8Tda5(OS~Lp|ARt{-;nCRY_0nfDf2L*uI*>
zf4BJ1Sp)y47S>OxYLa|E$IqL<@4JTcqYOMqeAga*nUMl&S|d%j`;{^5_*E(6<iLqI
zaLjl2xL?K|_Lj=&@E8MEl<~;M92*kWH^VDfR$=u^gxrxsMxad%URCI0L3ZYg*%>}f
z*r7G?l-4psXqP2azhz@ap>Csj;#emZU|m|+z-|b*(ra8lPctGV#QQ;Xsv8T|?-RN1
zZ2&W2s@}1}3}`sP@6HIdA6qzOaTV915A$6NYb9SdFv5VC9Kmx0Gj55SmDbURUj@9U
zTPM~q%UQqshR=Rt$}!p3u4Pl;SM0x%WrtO)aNu%|jPy9BK0gC`Toh1BsyK9;cLlS*
zb?i-O>K`mk(sE=YS`X-47d|xzEMt?WLzkvSrZK0z!1(T;F0@%W-E(kW!XCwxW-U9<
zVnqJQpK(FDaGqE36l?z?HhINzAdfVUHN?6f7M>*oF{-_Rmc58YjIBg3N&dq&*NG**
zXUJeXYjs8c`XYATTudxTYzf;i9F31!BLU_->(pAch~Y&0-fn2FV3t=UrOo0=fUB1q
zPvKs|PVZheoOW5mY@U}vk??j-Y1hnYNnOHzsIn3NJ=(z7vmz>M3yH8Szmwu%v5XyH
za1KxAV?am0%SMKn5@G+|TBH9ISFkbi@|Pb+7*W*fufB$29Y|7mA}~N$#m;^=X*>Fc
z32lDtuH+sgz>(o|GKnYFu#pJEof11)kZzkr&axT-ynpt68tPidT$T2M^KVvEXR1ki
z7NiZ}!qJg(aueI3!Nhg9gdI(=CRilB#sd?r^0==g1FHPYH}L2-Cpvy{P`pb953!FN
z?CK>MQS9@Cx$sBaXp^b-!d$Et1Vm<ls{s>=U;Wv?^EWSYO{d>GKcxwu2+hf)U}p4g
z_?x92K>#HhvNX#b(}auoIwhYD7L@h&#og>U9I8<eRVy0R0Qb~pOP}3rNHpk(E$5OT
zdMwD|D;S~yVa1#^gMZl(%`K@%FHsmpKTkTC#;XA(^8uUB>o`$k;+uwdbWy}<fBSA`
zjXIqDQB6{;<VML1THNvS;%LA{uB9hX9n!14?}qpCBAs*>lBk*_;`~_Tf6zo70ynC#
zd~pGkJLQum<RXpOT7P@TN~wcYnOL9lQ5?F<zmqsnD~lS&k9?6AQir8Bp`^P_f+$G2
zMa3vz9@XpTrN*hKgAUeqYI27#I$!nF;~tA5x~^O`6YiuA(rI?*zWotF<x?9l8LfoQ
zrccit`A;1_zwPT|trSBOZXvbZ{3=MijXObGRReH)^&U3mNTANZp$|Kst0HfOorU3@
z8ZducK6C4_6cRn@p{^C7j;5KUW)GKWg3<Alnal$+=y!ni3eH9oB`}3Q4t=c!#ER_Q
z%98Tv){W?MGpcx0sh}5}FQpCB9r+Am&I%|{z&ELpi+~v4URLd>C%`YC6L-JlDI(G6
z2MT(BbPz|~R~<b^B4qr#;l;G6gzTCX2)ctrq(X1I8@8RVZ7#~D5j|DVE!kGJ;b$at
zDZFtu{xum)Z43wByi-MKEb8t|kz^ziEOGCrsU8GA*<9+@Q%AYy@dLe*x@cmJG({Mp
zz<bs|<|64DDE(vfiP02Yw48UcDW}8$p5wD8evWA(j?z~}DerX=u1GyJHq!_)@>^}<
zWbkN?Y2AdqLl=FWIT*^3V*;vSSiX;rHad2QQT<??E^<}<F>O?21_#t8QrmF^G)X&u
zE^U&GoD{FWJyuEuJx!fYUUdZInRFjNz)nVmqd^s{?*Z%#4R@$)=U8SoYMaVeBC=<z
z@Xf8DL2bN!yS%9mT8tS~s`^MkLsC3snJ_vu^fj;Oap@pEWOeO*q85^sdbT4?%mUsV
zOw~)eMnE=)kGW}Ysi6~VAF~ZoEueqoG=FP@Hj13Dul%xK89mUcE$bezfX3VZUFm&{
zN4h^wg=aq6_9Jckh7kr!$ktg<4|35$=YRb51{+DFQy=I<Ubld(Ge>F<e9=IEb_G_o
zH4356%BC@AK3hN%{!LRbUL7$M-Dc~5#f_GA+*{73SiqD-M+Nr@Rg|6lr>rxY5s9R;
zf4Qt{0etrPhyUJEMqy3|=3ZQz#YCh-zE?HVVgH<};m8X`gjNDIzH_!>Ta=KZBs)56
z7FZlHo0LcV_ovlg4-HeFjyxBy@1%jK@>oI0-tBvmb@|4w;92T_4dd@O_Ryf~Q||i9
zNl7F}j(?wQyi9e;IxC{Soum00A2=C27eiSCcTMlgZ%`M!_WGOJ0-RDbc-B!TjKGZM
zKVr%Nj!VOb<nB?S$h0?iY5|A*Z-|U}?qUStw49FqQgcv~aqay0fe(4S-ANqpV}!EE
z&4)2>%)lk{<@;7V7fPf?&2{oK!OLQ!_#I=W&~np#F>r|$eK8Ar*Sf_B%ACY>5dl+J
z&{xGJ;+YWj?cHp}Mn)J;OwhSOH-Us)KReOH4eZ_7XB_(8jPQc%ND)2S7*2+}yyOg9
z!h*6bGp1J<prz+ta{*=q?)xTF)wt#`^`IQ;o&*M%a`hgf{Qv*(heyhtfC=m~Lz;7+
zECcjdo2!Jn7=pYY!FA@_2o|1S@nl!j7FF(uc=1fR0f^IfA=;VGSe`@QG2L&Q)cfPv
zGISmT*mQHdHWpluePWz^hTJx(=LFe#1OoJdL23Uhs&X~;(fVqt4gV(fa#o}>Z#M;O
zSDouVkh-YO9Zq*1O>a=~WNq>?P@wGl?$BtyZ`6~!x6<>OHmTOt0{=3f=z(^J*Nj5^
z2-Va+uFiVbCN*pJ(lS!jgB1U-imv~SQg<GC-lNd6No^^pPq4YK3pXEB=55CRrk;Pg
z9F-KkMLkF|78H`zg|BxbOj5L`sB2ty%Hx#nbL5uxV!2O-i>3#M1)XQ8w}!4NtG6-0
zA8kn+E>$uZF-N}a;GUz-x>>Ouh+>39hksUL6(l%*@zm6}`gtl&uh!FZ4-+_QZ(LL|
zCqa~rtIT8ne^l2U0X<RX%y5!BVFBMogr*m($vf4Ss9XgV_8j|JAouBdnZa=)G#jKb
z#r|EUYV$08Esoz7YR)x(I|d^7Jzg0ZZds*PG<^_o8exOEs~h*&%yhQL1-gB!U#I@L
zVP8t~;(+ed^t6!+1gJ?6OMKV9Nln}_KDo@t1qUMsN<%xfK`E78IU$w-#5cb%9Q?%%
zD>&AEc~xz28u=S4Sk4G3htRI;)4UKU*?8elJRWRc8d^3lFu^r(TmBRg0nl^D@}JFU
z0i83x<Kh7pU{I9WJ!OXj>i0{%)81OJHfVAhKCptYUgL?`0zoL{v1a@+rU^ORb_=2b
z>~J>W<Vd@;FsRpXvfMwT2}8v$0YKmcKiu8&_G%Hx3#tnD6VQZ-RE5KmBHUoRw)J&y
zh!`wX>K*H-*MNhx!;#9Wydd}e*T!>a3HbFu8FwQ>1H9HGO4g6@L+gf9@lkInkp1BL
z;p<Kf@Q-4>UOXWHb@zMZgL7pdWv(MjLq`LK6z;!{FcSn0MfIMOO!A<H3t<i*Xn?^v
z2_h;Hf^wPt!>hImpnoM*m}i#;)Mer%b{UJn2fTj8o^nOF9v<E~aajZQ8>Lm&{St+5
zKAe6w8p`mw&6f4tm<G5>e^H365r+j=C@0jZfZQ!htGd&gkS-?`eY;2!L<cLSJ&&qE
z!msvOZA~q360dudQ7;VxG|@}i5*lz0<=^}$jt7_K09ltgS!f|!rbG;DLQ$Mw_$pl+
zqBgd8yb9!@=<BW0a}{{VI}!O&q?`a-RrSyJj3|Ik{OpzB?K&7@wpl165usqpWsp}(
z31nZt^e9#)La>tM-7+!>x-kX8;TUBIei6vuyFmm&v{U8LVKO)xv)uXDrvlVpb}et3
zNWk<;*rvQf7bLt4PdFH>LDf&m=$_MLU^;a|z=c48wT$4YhFj`zEJJKp>M|L`#(Au$
zpY#DoPUx%rp#jhQ7kRnub;0Z`@o+-6ArN~@)UL~Ffv+9B{x3uqib~V`Gop-P=d~JJ
z%mfcc8)-9}2Xx`2^2^Q70j9vY$ERGMqz(UtJ^0=_O@_VX4<d73=5VYpA@ARUHlRY5
zMK&54Hc3v3#;O223Tp?kXabbm;A39dkl>t`#Or=;8ZdctT<CvIfbi_XXQ})|$mHeA
zef*6EZ8JwNyl*6c>z6%?3x?V-_OEKhI*|@f@<@Z@X9%!Sn?k$0t^tR9WUS`4xjC59
zA5}1*4Vw0`^IZw5(6^er&KGR~x10V%m2Kg{hm{m-%%%iYaqgLZ&n-YZMpiOoL<?Fi
zqf3v-%Rz}vGR@?@1*FEaMD9(}gw#8VHy<R51M<6iwCbe=T%v1kp5)s0DdEji(oupC
zda0XseVdQX&EJ*meAJ+&EM)G!A{U&WT9R|Iwt!z96Z0WuDscVp=PTp241mw|8~;8|
z2Qi*6V+|8Zuv}Q;r*U<bdP6#r`YehLGT4KNMHNLjqdG+KYyLouiqE{=%tnXElc9_W
zC*)yQ4Y|=ptQTW{`M{KtNQ2Y8SM^GRWkCAyXfTJ(BsR9BooLHTgC7EG#;zuka6nO|
zq}yl#iwrP-e<=mPve1F@fh-1@+80^`GL|t_ZfoCMApmg&lL$FCVK{SIX>(7)8pbxt
zBzTEJh5K_~J8=jHE<6q<yInW15xZ*{7Q4-XYj<st>Qg>YCj0f)*=%Cha)dwWoHT<G
zO2n${0WNS?wy7#g+QeR~CAeHjF@<+|);H4K*?>KsP3o5YCgxt-nkM_w1S*`%O?<kT
z;9gEg3iqoG%qE~GtbV~5V$S}37Xw>Vwtpw%f>+nEle}3;Gh|~JewC`KlDb0mo2m(&
z7GB4wEbo8riZFtd7m1EvV;87eSIcG`Ro1Y*qMh+hO@@%UR688bJVQm$W5sH+ihZ9}
z{E#nd2<+nzRk#JmsR5@}<DPn~V0;0%#m)c&7`k_`a)ot->hMkQgu=sROxL|NE~;H0
zvTgoL;lAEY%|4H>t6^Hk`jcK2yKLuBBa_N&dncQyuGRM999NexgG!%w@);BW${clX
z@I~tIz6%^XDNC3TB{lUHGX*Ldo|L8~BTUe`A+dmG2~$whUyM1U2eJ(M{XX<Ato*!F
zd^Z0QW|q-Jt^TbG;gS609hZABo;?C|Jaq{p|9H#E>!k~4E{{3Mkq5C!p>cKjJ4;yL
z1Jfw)VKT%CC(Q2E`;PS=tSwYkTgGHA{K<RZL57xUr{aFaQ7p=NaAIS48B3N@TX-}^
z0;@Blr~l3V!o<1x`L4IEU>)CiW{wAv;QZEM{npY6EJwg?YU}4JHdr0I(zZr~DW}N5
zT#qS?*Y`+YCutqie8FYel1Kz5yI{Kw?iuXyo9j{ol^a<8W8(=&IU<-fG#)$VKZ`An
z2+xO|+QJq_xOWZu>A;&IGbilp9Cmc*@ygRu2BbzX->vqL03G}<l<qq&VE+RE0RR6K
zSa&?t-yfE}vbnbF;+hwiYh3H|HWD%-MHA6dMn?GxB~(NqMKVfd7BaKCr;_X<BO<aT
zNwU|^@89!!&UroOeO}M|{X9o5_T~1~`d!G;`#UlII|+VkZmnD!U!;vOA1lAJPLD3n
z8lEH(NZ|9(=v-IaGR@4}tWxwKBTAF{c^L1d0z4v?lL7};X%U_`SPH)|Avcc@vxhWg
z__Nj#`h~hq%XN1tl?!G;RmAD%eIm*r;q+hA2lGvu(P;v2`93z3a(l{5CqxOF7>=uc
z3EQSshjhA6?c+e~_AZrDlZudh`1zyw1v+FCjZ4Z7+l?Gz=`+NSDuR%6cj#Rcdi19K
zTQqr!8-?*?=70UF0O_zhZ*LI;@~%=gNi^q0BY5InIX4CH{BpIX(SQl13Epbfsp3Ot
z3f&j!7v;erU-8R<-^@tlnpRwntpH+|Fwe}sFAou!iowS}vZB_v2ft^q388E86|GTb
z@-W|by)v$a9fe8PT$}raLtkfoH(VIxp|ZLsvu=wM4QhVe<-0C|)^DeA?du`}_dNN|
zyazWr()>PSTt^&b3*}er6a(lA#4pS5;zgQp@bmaHNp!~J)~=ToL@;&X61(BWhqS}@
zKRT3!N3#W2FNd}hp_V53;>9XIy6;1L9KcCHuBq0{>P+&G9+zd6nIniyZ}GP3CdeSa
z`@Sx&F7m)1A@fM*KOD-gizQrEmqYKzQyT0?<RR^&K{2zh2zp#r*r7R1M0ly=9)IsC
zfRlCcHYrXFIo76%x>PBk9)%O!UBQYVn<X+$>X1NsN5#3K(v?t^Xn>+%h7x?22(a#w
zz$0fK@oc|%74&L(@q-4F3S>CzAB{aFjReK%UAkgakxjWPUu`7`-Z<_zGI~Qm)5*=!
z=Z)2o-p?A>@3m?m=-WMZMNSrlol!EF)*>VGAnR4v-DGIqjW?}ImP7H}uWES2G|)X~
z?_+(Q8h}$_FqPzyNBx5BZxSapP>f>4>D$Yi0P!|(@|FU!?0r<!8?T81Z+2Hom1x0i
z$*NNIiXs|nyz<zKgMwD_??$9N(1Git7II@w%1G+n=Y_g`6x3#+^tv&f3brvmw4;wy
z(AM_HZH~P=>k|u;TebQS*Q<bNl_YeQ^4_-apC*#|DRPc&!Vtpgl?N_7QAHK)<<2g4
zn#fiAQe8g-0Kx6btGzaAD7Rlt#`};4a<NOz@nSKCU!l`~pS@B;IH^R!Z7wnzecgs%
zS}=zH8e)<(KdK=gxcp~~K@C-HeX{dJCb01G+N%%IYAD}n!9V?~GIEQZSGjn~6bhw&
zm~^kGqM+?2zKU{rwD&_muHtu7aDB)lT!2$W_3c0Tm)m6!vwG21nt~aS30taCvnnY6
zu!hZ}2`QwrY!ub7#|+MDv~F%(S4OK3<*ImMg%K$UKT4sR!AC*jYvQ;f>RSn)q&Dy(
zufvRkF05v-rrMJD2(N(pV=4?KFSDS*U2m5At4tv-zw~#c2@y%n?q(cjSfd4sKl6xl
zGzEDBLv-3n7Kw9yy7qT)n5Jrc_}1<r6G##(+l=repqT6DuZxuRVtX$}CaJlYz*Qe>
zxsWJ4B09;$jo8g&Ph~HaHTD@pVP5_reOC#zQ9lsU&b5Y>%TTj29CqraIz;zzSOlpM
z-8g*B=)mk><?^LgfHLy}51IQyC}TqThSFVn_;;-iqgn!#_oxfCT<1sG433ZO1Q}r<
zM{tvzgaJ>m)L_O79>i@L=zErq3Cg6?WUgfzf!@5%ty&@{YR~xZ;_m<^5Ds3;n=Uhi
z@4L2$+80<*f6+1@Zz2<LuB$fqcNsvxoz+8AIR@0J^I2%(A`{%dsyf%UsSkQJ?-=Zp
zw`lK%ty_8(nV@{LtM`(+J~)Ni4s;hS)8v~RFmekcc+hbs^qkj&#rVOv^oV&H6Hlsp
zsXHUQUYlgwUqpqV&yBAK>8EJsIl@%p76Y6|D(u#4x?oQmWPac>K%+Y3%zV#c0G=YJ
z|1fJ^IN24#&Q<h*M%l+0spHH5q48wT!e=_*7hgRT=1__y8{|=!2@J6JjTQ%qK?mAh
zk{iZGJ2CxAqqYKO25_c(Wan~58-ndg{!bHzuwdc|?nNdBXo`)VSpKX9P1h42Jc}8}
zzFpAasNXr~tn1`>1*Qe;D-N-Qj-S|%L(%ScPcXo}z#z}Fr4*1FtS#g!o5N22W;+#D
z%>WJ-*#}3JDX^!>mnm2FFSdHlh7zm82xxK`W6jfqNQceYXor8;*=Tm>XFZIt(X3m5
zlr+KVMKON;!V(s@o%*^eg$Z6bPX=!lYd~YCS736;3T7^Rjj1n;86G?+F0Rqn0Nv|W
zKU|{Mu)}+6taM^nfYtSc&ssAXTJCqScBXD%&j*Z;7}l~vN4|schZAIw=avoGuH3>7
zUAq|_FT@VPJ*`=4%j$5p2!uNQ>7Z*YQcC0z2e`h;_<Sfy9Wsnse@LY40#nEJ0%q&o
zaPPX;;7M(DXer*`%-%{5Plh>;bt-cM`xqO6r$!AD14R8x`53|7z9cO(g9jElq)EI2
zYLL~Yn@93tf(z5Z953GTg0rXO_Jtr-I7*)ylrY8&|H8do%IWx_H@n*O*AxjR-}f(V
z1+s!L^~KQD;{rfU{Pi;YGzpBHAKu6!vI99UV11%b5FY&wG}-@G1!A=@)5=v2NU32s
z)^!;N{52YWC2=YMcl%Us{@o27$wN_^R1p}y>a%IArviTIIp!309tf_rlKLSf2ICzs
zZw;?1!_QOS7mt#8!P<}xC6OecuIK(M)UFJ7IXDJR`|^R}+=KP^?o#mOy^D=cjWVRQ
zJ#<`d<cABaxk+z+;K9LNe$T)=We|!YG^ZK}LTKf2xilgH3?CdaI60*ZD@Z-Bx>X3I
zb;Gr7ugQSxT2@<&nhI2;x!=7NEDXiJoS4Ob%fcG_La}4I3S6xFIXq@A3je<CLHE6h
zV8r8d^O+V2R2LpE8fl2bkZ3{a$!&SC=o)lEn<U^o!>8qKAPGuwO~=^M6~R>9)M0K-
z74{d?Pa13BA(!>jp;8lNNZFUTYA&J<JZYzMtQ@7`dF2Vh{Im*q+?HXO=u(F>SAOTC
z>ja>@QWlMjQH3rMdbZpWGR)-U2RYZsKsI^zU$Ncl(9hBE<wThV)K`AxoL!TJ{K4D5
z&o`*Upqtbj*EdZtYD!-5FeE~Ke9@@9CmDodV>pwET5$AS^PkL6d3bOeM~eJI2KBQ(
z>vs3G;nPJ&f4_1Cxag*Pa<9Dx6qTqj6v^m<|9WS8`Jf``h7I#tL~1~ZBBRP`3l+Lw
zw<P)fR)U{_zC8TbH9$i0>z2q3eE`O1y^2H1@VBf&q1bGP-(R0Mul5?kh=+)-QH~0n
zD;x0jZ6t#d*-Z8VBL>}L|7wGbNMKoM^)iQ(3=Fw$(+8XYoV56kXQq?DWHI}xihw$3
zW|nhM#En7k*Mi+{8VLk9zS(a!@Aylk?`qI&418?9N2!@4X!!MXYf(TMxSj7cwjDJA
z!=U|~LWU%uzqt6pL`ngYGnn{4wwi#2-l=K*)E$3uRw`|aNe-^?PAU$H?#vgC71Uk5
zvp<%q{%u?u%I_?muG(V?rF`#?*gsc-EI*^y2TLU&%ZQc!o2@BC7*t#vc2nHZ1tVAa
z9~`{kQ0Cu5H3cIHW!Aw}c{s!?_?Vi*2SyqG?>N{@A-9TQO7=1l+zM7`euErfW4=}0
z^Ueg)0_#G<M`a<HuyFK#4g-jE3%$K?-UL`QpGYfM$Uwz|BMY$}t5_W$v(_ON6DV2w
z{N?CNX?WpUbu7Pi26MlvGMbiZ3<B{j^<+^zSS%T`i9YMZw8rMwautl>Gta-083hSQ
z8f89f<5^FmDCeeWmjO`2CVo2@i-MOU%jUl2AzB;Tk>kfP0MUbTH<crCVA{hH!P`4Y
zGb<~b*prOG3m;D7?nMFEd#b*isya)X50tt}EHi@0+Gwk$6h4UGrD}c7;1BJm_jE@|
zk0G?Vda%!U@c^H8s_Qz>Jgvt{Gq!Ns04h_qD+;GMfjS@g__FCdts7C){M8IV=#(nc
zF=sY-@S-y>Y5fmv`DFkn?`eH7&P<@smSKiIrELDoNB+>LTsOzhKGlP8R^uoea|Vzf
zxj!1S^qUscUb1R5NrhlxcLC38I<R@|?OQnci^lKHl43!o!rF0`#0v`>SSv<|>dya3
z%c2iItQD>c^yI4Il=T(NOeSEx;K&p$bCZXsyhjJrt-lB5U0cLTtD_nnIVNbt?J~P7
zWF1J9#26ed{lzHklF|t+qqL3;J1gS^ZIHU?TT=354*Po7m#+T#58Ai)$*~QKTHt8^
zad!~=4EBj+9`MX~h(;NGz|?U<3l!wCEyDRGv6ilZ^|#^QXy1A^pQ^M{fPc+jn=xk;
zyY(e??+o`>+FaOXZN4D|0yg8=$0~*~wkOY7{{8Bri8S9mAzi8oxkJW*j;98&wb#|>
z?Qxy7M5=z4r-~*xj62?&75<9NhicC!;6BlY#2q<3@-)D5W3O4aPZze4GWBTrb~CM`
zGk0@VQ3Ja9Pa23jc3|vjxB7F!8)$3&snnU5WaxR}^0eEd4TIxS%f++rX!SFDu7MUA
zKA+xXj$dfRj#px#<<T@+_XQ^XE}A+lT~zaVtNj5pp!5=0SE^{uh=Y2^MjaHjuaKVz
zyu&=k-aKyRDW~~9Aubf|`1bVwgq<s9-(dVQ-EP6OVp?BC0zG9+6<p4Dy*iRqjhWnT
z`>*6j9!)Ix-o<cURp8WI2^ZO@z=&RWej(yh+J~}=XWnKc@LiU6f5uvd30tZ8h8{|#
z+4H1%c7^Qd{AY0d;FDJvp9SB359_<MXKS(FVs~^Noc68e@#!MWij&i17he!<o#6}S
zzo`Vt8@1!UPA@P@n?gAo!)eSbin{K;M+w|c`HquT^RODFs>TBaQJCLCaEL*oB2b!Q
z^zt-wF}@{AV6aCb2BFW@zKtq?YUXp=(BEuKZ>C`Ec;Z9My`;`hN>2gW*L9Q66SFa*
z_C1vec#MUZ2*ge&$-`b(r*5{l&oSoHBM%SdJ;f6GCZCA@BZ4E_#&7cL=h$UI6T|bo
zIoNVJOKFl55gxQn3Dq%VV>jfT_M6?z$CUFSUXLaRW>w7HkJ7U-g4P!Wf8j#xgPnKJ
zoRS=T{^)9x5}t#d{Of@eoi4_>!i1(%Qe}5^y|-KDWiFOQ3QG7gT!K}lhs}y|$%6Y>
zdWNc0KBna}z`?LqhH>rEXgC@r14{*;&ar+iz-A)9w0Y@QVwIUoTqblfaA0r$LCe0E
zn1VFPQT#;}HnO21QXWQtN|6gpKlq9<hm$6ufd^`_KlE)=X><fIXw$T-a(#tGFZ-Gt
zq0%tHCwIsrQPMEs&(-(-YYFB>C#@!}`4$_rA{_MQl7^tKk>#pkW!P1m4B_ScJFLQ=
z=BAvAhx!7__It+)%rf$ur~P0(mVwLWWmLq&YGr8mAJ^B|7S13mdc6Vrdrms}W1tk+
zzj0yxlv9m8nXYU<;n0M2d!<=;WlDm~$Z8N-tqwb&&~A8Tss)oc8}YugT>>_LABWOS
z8fJPnLI*yyV<(R(ZFe$AKx7j(=n?l8JINb7<Gu13>+aq<Z)GG75rjLRF6@1eO*XW?
z(5~*pgnlY8<HE$?o5azg9P$S&+X*Md^0EuF-thDmelH5+vBZeu_8+lnNgb<*o*v9l
zwS--Lw<wJLso%K#q6xb}hYMIR=)(jvWz>z2iGXOSi*J%;D`q_GBzbu98;0v2aV8fF
z!=0+VV#4a5u$mvr)=`7sG5be{&rY!lL#(A>hzz9zyMEukKv>`h<|cZ1m;GrRB&e#D
z7H)Q89iPN)<EBQi=O48eoEwE8dCm5}p4Bdl_BppGetrxywyj6=szR{QbJ+TXYA+V!
zDwV9IHHoEHZ|&nv6$FaeJ)epveOSOnnMY>T(^%pBjr<ZeL3lj)SB&TA0A~IwF2MfQ
zFU(u8ORYCl0B#!w?G89OgxSm9D(=jg!)9;cs%|dvgP4zZkC*EYOqac6Ln2`wJ1Vqh
z)#J|(wUV@0B8+0m*S#O?4qw2i8^VIai+r%+d!4j-a2&hfc!`>pw}|PEY%Y8X;e&yN
zJ@gv6lh|WLZFG!x1>-$u8vlcp4+?6oHqi`!Vo!4Qc%RYMuycj;a4MA-p6@?B;VU_d
zbrt{R$f(`K)*5Ap>v#O<A0oZ;6~#Z;m!>n!CAa9n%?j5V{fP%gQ@;j>|DDII6drrC
zd(Z=8AI~w503OKu96J1JZUHNw2_9SuWQ5GG19&ZI9$54Cc*-Ncgk?&}EWD~`2CiAV
zO7%i+;3{mKvCUk;6!Hb9C7sxyEXMQjlqxs495br;=CY1`Qm@|EP2mKFeaT7!ja*P-
zBg4PwyM@`^OzBWM%?-0eOLmbkE)b$T%O9AfgGesYjCk-4@ATRvze8N`=Q*`dtebwv
zjyI`Z4B&_9^I|0nPF%n|UgY{_fe}U`l^xu21feCKZC>Cu7o7C8-2K^(1ti38-Axb{
zhIefJ!wzd)5JK=eGcv~p6CIXfQ*ENq)2|YlQNj)BvK)Tw-#CF_{DIx8O#-fro`3Vl
zjR!8Nk(NC<cka#fg)jCF9$cHluogToG(XkeNd3wSismtECT;{M-k3M9mgWO(oSF)$
zhkr+}ubTF_?ewEa#x4Gxci*s7@6~4$f<Mg<&f3KjA#*-ci-jl%`IBl9uLFgl=JCWH
zhB*Z|t@TQH-WCV_m3G~vom?SYU5axLQ3e~)pJu5{q9D946wa|qLaK!!Ra{FIPPln3
z8lT$98C_)Oh=+KH?YMK>F<KoEGn0^F10IAfvAbQcBY>(%$5B}(4cO08xKwW=1D?}P
zD@n4laB%M8rC(8+kWE|hQ$0e2m*%#wW(0}AL+12%rqcqOqbawg))irDI$@qDsQ{mf
z+UyUX(uSflQ_9wcs_@|?D?6s81odF#`R|DiAa<k0_IqR~n+cR$wo`%9be@{TOkLpr
z*w{XDlmePgV%CW+svy_<k!QzXLdD0UqxwENQ1_>BWL7~P7JeoK^afGEuhQCX*Bd?X
zsF}w1u#$meoz7-Zh6-O_eio2ZGXf736v|RhhSaV{Umk1e!mf!QLq|RXSY?#Ou-Iup
z=?4D~LasIl+TKP?fhMq`j{6XmsR0~?G!?c83dp@b_jqm26v{WeEHhqe09jd)QaM0|
z!3t?!4bmQPd4BKpQh)}$d9^@Kc|`(HdA>%LFo(pra5?`)GMIV1?>VtY9zGol+dNZg
z4#Sr>Ru5>BfpZR@72Sykl3VY0?R9fd$NPzv?&RIHsPk(oM+5;M*Xr&+XATR22T62-
zs!*vjHQRfP5lGn;lJSqt!CFJF#P^aiz|?i=^r1Q|)o6DlPSPAcN((+VDo_CH9_xvB
zceiMiwFBLXL3^OzPp0B<iySPqMvt*raiYudxY-+ZW^mKUbUb5*08QWJ-li$?qpTyG
z{w`~#@F|FBzFPthd=#aq&S4=m&A06^rn9qN*q$cSCko;gQ6~uDB4}52rk8t&2`p7*
z_lGqI0ybf0ZDlNmC@SJw6)ncl@N;?M?rvU~i;I`*JRpv0=XOnfk~fASi&G!W&$2;|
z2=`3=m^f;Zt-fcO0Pxz4`@HexU0{^dGr1@%fp*0w4)?JDq|~mRy>sgyhU3>M(c_Xp
z#i8Yy9)cL?u|`}O*Zz)8G5<bD91utA-nQ~lWFwGdzZSab@tLMLgA$jM#1XCBaJ|LN
z5d5{-wHCN$X+dFm2Di<{Q89(EvHjElrV%BJr+=9i>Fq0^w=RZ63e{VLm-L~+*h2UO
zjt-q}YDUS`V(4ko+(X+#`e3$Q`RH5+18U<j9O8))LkE>5b)??wfqOrTzpWw*I_1)Q
z*3(N2UF`juX|1mZ>IuyC-YV?q2VbBs@r)QUG$k>9t)oK8eRgS!NlwJKk3P3ENDQgJ
zlTco_q(WK4(y;3(ZuC6Nv(@aW80s)(J}W(>3$~%yv&Ua~kaP9)&Bh5awC7|`=WvKF
zT>5Y)Q12%%s<`^N%-B>Mxr(+*{v+rDYP*9PXZX<ln`H;~ycS3AS=KbQI&>hnbL%$#
z2R|~gtm9PPBZ2TnzHuoxb$~@&jXtMM0QFjFWC>48Aog7+EfvjmfKM-|*r`kqy?;r&
z%=%Ok-E3BFW7@3)>CG=6HYW?AC7oi9){9bzCBm%l*nl=X{%g`e4aT8*mx)*=B|J(W
ze>UM+rVTQoodP$G3nP=)Rdo1gcy!_MgY3&YdAx_tURvK&1SMjk8_q;&B#d(i`*Kwq
zaGHaPi7KL~{fuctMUgbRS^np1m%la~NKlyc7ZpPZ{(N+j7y<DU7nQp&YC~nsw`2e9
z7Dw!BrYtsJ2#7mHFOC$f4X4Z*%4e7)(B(%LJbFE4(2vqTwHk5Sa3x&9@;!qj>SLG4
zmS&ViUq-fWs~2d4abq!OHnS8;tIHKTkuHm5E(hK9=+cH&N!w3<neix)spxMEMGn=W
zK#3Jr9bmLHDKv`3qgn$$OTUkD=;Mr2=BkAb__o~eyTvDsWL+3KUmPGJ{`*f3A57AL
zyOq@+7E`2A8qV@*P7e`L28Bl2e(Hb;y=l%hNdh7#?rD5!BabGXw^IJ?(}f$?nO0Vw
z5YW9d!&{5x@~G$P@f1R(E+h*MoMIu!plI&AA7z{hh}ryKuAed$q_d0YG}2|z5m$zD
znsy3EXYj~aZ4MP~nE95E@X8{KkvkUC!3rqezvgw4k{*z9y1w{?$)fplt{SOv3aEhO
zvu#<T2gRIzS;QZ*=-q3ZsDLO16tZXK&8&ewZ0=L+chZ$Z%{H3eYHkY1!>ecONTWUo
z&7~Hfx-N(2d(IGucm-7YT&~g7!2m4a<#=bE95OgCo#*vV9zC#F<}~?g06)c)gdL{k
zkZCcoVZ=fnNjgivpK&sT3rd35x)_M)Rn5XrQaKSt6u0tEw;RH_nMjdjP9h>5C9c)5
z5s|HimI8;q5u|<PuqEx_Kb_b1EwGeBO&kv<+)|Ao{rB|VTa$8V?}>uW!XQ}`JIXR^
zJ7WYFl+W#7tCB+_%JOy-sWPZ(>zzfC3I;cWw#T%t$f0xGr_Pj?5s<0cQuF^m2u22;
zM_Q=JAudX#L`<_Z(r=*mFbl<C%)cZqp<Na^95BS*598509)lbEVljxAjO!?Omqov9
zPMS_ENugU><}!UT7)X2M)y2=spzz}sOm__=k+{=Oo4o%pD1D|SD(fwSIGemv2U5fl
z<>Q~8H-|BhEI5AZ<|F}iymR5><P}2#6-v$yJ3I|f8_;@>5)j>L?RB+05o9(u$^G`P
z5hTA%p(wUVqoL2dtr{M}NZd@dI;7ADy6kcof(@lnv>%)0Z&MuFe=yT>)71#%!UT+R
z3-QQqK&Q#nQV8j&=yH{F7{P`E$Kp8x9<8m#N}B`-qLvuVTP($fJ2_&g_bx>WSsEN4
z-&Zey;_!4MCU%Bk5%0ENOHC5(+fZ>g(iK37-2(lOej30EmY~6}BZ0<Lb#ouI^CPzY
zun)=+2GFF!&LV6pj`s4NT}zDOM^XLRW`9Hspyt?tte!wI^txlN$L=UUiVUhXZY|OW
z_FS`p*dkF>`?`vC*oGe+IiArQy+<F61I=G4Z-}61PLIznJ9sihuWjI)9*j@j*K$23
zf=IQqE)3WCQOpe9?UescAC~IxOZzO0<VT;1NF#ovLB~xl<<tW|#?TbPVPWLyttX-@
zAb`5LzvC=&sSv$(v6^iOhXhitCM|>rppl0DsZ?_+s5A;MTjt;p!))y%<y8UnW;<Y2
zWJ(wMotQtoy?{gg-#f}iZwjLMkHr^Bak_w)KaC8`acEnJR=rn22wf2ya;0kPLUoP@
z?mtZ&T4L09&gm0Efg={lnWH)&d~R@2nSw*4hfS`&k8tRF?5g?O`#Rv2P&vnFfkTq(
z(^Lg7VN`R1%bU(d2i6Omyo$YX=nxP4B@bH>bU#y$^DUbW>}#!;>f7NNBAQbE&PWuw
zyQ~mATeU&s#@2O(1srO8F7<WDPz>4K*}i&urw?bEEC!hG7e-GLDA#QFi6gyjcPqIa
zAJ_1kb+Y%3Fd{p<Ovj#<K(Ue`HlhYQc%pSth>-}|Z(PB>c1IGu$^G`PPE;ETUtS7p
zZ5Kh5v%RF|_fkl;J9#E{mo~Vl4R1U6h@xMC!uvPF@#y$1W*e4yEl9j}P3g9j7)qPo
zpG}aLM!z1)IuuQ7LC~GOZGGQ&=A|-jB>J;7njNw7VEMI!AI&;_^MyFlSCOYuLkTFN
z#Wm#aiWZzZPjRWbDS?tbsEYI|GDuKks{AdtHVpgGw|M$UqS+~#sVm=Pkiz(v?cEyM
zu+7Uo>TyyEnf+(fwG}Ok9Gy1$yIi!P3M;I8q=rYf6Cck#(UL=sRjPQmhuSb`Z#yYm
zf=8+!Dvsz3$f5rM009606qk8CRDT<WQQ2ji&Dds!S*#IbXP#`SP$ANuBwLG6veqvm
zg%%R2ln6zXEFn))p+q4>l7xh)s7Sr@{(C;3^UOKV`ObY^xA2I5*Fe7!WYSrp#m02Z
z%ij?08o|OR8v`x3>KVh1enqxv9UXVYoiTBeVdIY}ccZ&W#$dQ9BKyEf2Hp);^<I6E
zjgfT8V{x;_@G8-yfAA#(|6{wiImvL)wb<Ff%HISgv9IQ*s~Qelu<X`^a*+IzLR%Oy
z0r_`Lv)?<^P?h4;1PvTis9!dHVV@}kYfTRRU8{~O)?Dm&o8us`n_ivyV+wlv>Z&y#
zt7FB=$-BP@8o29>&uQ8jGdQz%S#*px6Xm)dUXzs5z{jV_qk3#}Xc#KC5=~@cQRYbX
z;wcV_YDM(=*O^1opT-M=JxpxN(E3ljn1h8OOFL}bEg&d;U(#AC3(xIg6jK~IXftQ^
zR_3z>lpmH<d9sRy!)LdDk$TR?Zkzcw<xorLd9!HUKOYuuJ#6s$o;Dkc7ET_2_R|tB
zl<&MN9mK*empd+%!7Nltj;y(`&kCH+rY!Z}!$M|n!>@}uOjK+;<GQKK3VxJi+fMN3
zm&~2|cofxfv2?eLl^zdb-tUebp|FtlT((BBRSl)~W`_42=E1<=y&z&I6V=BT>+S4d
z;Df$M<<&(zn7MpPCo6`D%R4?>ZtbMwm7q(B3T-^FIc0t8uL2Vn!cM;Z{f34?xz*wu
z2YBG?EKQZpQ^)@PLX)g&RkWl8JUZUbgOloOL*6mfF?;Km=<!}<+@XHtT;y{eynT|p
z@5UuHq_FQfPY{(b!$BxAD4z!w#N8t0VruBPbtZ7bekxw94l#alh(G_n?>pav47|OO
zYY{z8K_AZRZY2{Q<dHjVM7rrHXH|PC@C+HJv(CL0p0t8NH|J+)K}U9$t=QNW5|)O=
zWb0*G!4jFdb62j@aDl$hzrclvH$1OO8(CRFR!-<ZxC9NOnF50cg9w<u@_xvbUQ2M+
z&}p2VR>8+yiIXms@_2m3#q7>tOE~L2`dz6<85@INTzkrt$BH+j!)#GY$d}Oy?tH0)
ztIX9Z#wz4+&)ug9m|+23hkuCCI~8#q@!0I;KsoH*sV-8eVF4MXy0)1UR1E6O@5osp
zhXEb|Z(A$PA<%NiV3YzCTTZIpdT1zzJ9NdUf)3_jzIm*o%u@jceaJx#Hgfna!l(3m
zml?EpP@MXUDM+CI7AWS=->%o%vC_{BJYN4T+pIvrhf^{quNBGR-F&mCQ~dM)@vJO!
zQwAAF?d*GgEtbdS=F^WY&zV95*!}9$C8J=P9@qxSV`0g}lGmE1pxI_R@U(}7XNprU
zub!4i**cf{yH8DkPRdgp%pl?UMK%^9vHZPNBrmh|F@flvpE5@Fkx)`scQThlL=_#g
zgkdog$n<v*h}%fQl(OdMQT;?TAitOYRcZ`HGeRjl-AQOO?({)CmxOL>=+keu8AJNL
z%FlFP5|+6HE(}MIaiQl%-k^*zfd1;|{z)Wky`NP7$cutoetwLOYBU0!N`>OVCnOX+
zN|xBj-;;C0vQnuNMsP%P>A~f)WSmNjzu~`~iYk+_9)DLE0r9{E(Ixx&a|3fXmxU-I
z+xevq5{%%yzoU-udosGtxH-SSsD#hLtK^%9x!^1ys5h{Kg0n+ELXSLG#(j%I>@$!H
zpTBsuoBW_)?FY*pqY|npu;YSF>2)rwnK@-$bWs8APaG33)~4Z#^DC_{C2>K-ON`dy
zL`4U$pP4&)Xc+8pK<m>nE;K!uxl52&#8BTmmY%2hdAZ{2jOtM?6ncr8505C~agnbh
zWh)rC=Shacy96#AbEu5?@3|75k+@W~ah`#F2ZXI}XK`V7k8_4VtujUg9DP4lu7*#9
z{<A06aAD3hGsv!51rOXY(0g%E9d9gWSEi0|!BRuNXs$sOqkZ$F<aL<1?UHI-s;UtP
zuAiT@4y0kp!gAw;k4*fNI~M2dZ3Ih8^Q8plXsG{npGV$#7N+R!d!S!#1PA=$Hl!!g
zG5kQ1{$(>Z9`KJi`-fl*3-<f(K2%~L`B&2x&rUXO(M~y)eAF1;FA8Z{C}v<>npDu)
z9UK%oIedTrFJnkq)Uv#or-t(jKeqOCbMSXc!>zsu6F9`#leO?d4L`y@w;D4IO!%_+
zPpz0K)Ywb3d~;LBEtw?UcmHW%LFC@w*RoAPq*KK$v{N0W1#(lBiZ#%(T1ozal^J|?
z`LK7RBNMOMRBnG<rGd{2+*<lRm;t3#_@8eD6HBcV9~b9n;7s}Zl}YjDP|-y6i6*e{
z&`hLqgue!^3H>o5s$&6>ak)uJJ6V`?zwcaulm@ykeqy}2)dDWtq;0ItVqsNJdqhnV
z2aoNk@;Mw}2|02AQ9!Q07mOns_&NX2yw`r5jayG-DZBr*1nc4b|0Q>^F!OWL!WS(z
z=K9(d5#y{NsYg*!qmza2mTa$eTF1gDMLQ+xf)&&krp|n?VPWJF(X!85nYfOnuuapO
zpXa=)?W7bI?n-WnAMsR2ja^$+6Ds++szP!!c4Q$#sLrl$l^W_;Qe_2x^I(1AH}9|+
zCXPB+&c+)sFeLkSS(qHaCVL0dfYVI$d10!3UWty+J;l^nDgck%e|ZSXGjXv5QP@SC
zh7U7ZIv=Y7EHnzFg`HBz7vjHT7>iWU{nt0MMlwM21>O(aUuyW}lS{*Zq!J3a#5eZ{
z16*q~YW%%f4NJ5Z7Nwa`@n&S~mAGCWsIIseVNk`uOKyR6n@&;C>%2U<Ig<x^zfM{o
zmt&y)w91_aqGVhqAFyVN6Ax17%Coon(~-5OeD|}vM5J{1C@aob!PTkYjgpUPSn1U}
z=#WT2S6j^LKF{A<n2z8L6&m(`59dxN%VXe{{WVTnR**`H4w_p~!P&ikdQ<D<aOtvO
zQMp=v{+rghc=7+|Cd!E?yr}#fesp&F!fH!cd*bG}e!ddETjwP}zATFd);CD3P79Fu
zwV8bNf+C9SVXJA`$zofM#)l7EEntE&e%k*c70+lp-<y+`#mpDcFQ0ufhqf`({?Ek<
zIJ&y^<;OW0Ts<|{c5kmaJX=Llkng1+uluIv_C>O|Kq+?eo;3rPwQ9~Ml_|JbiBKcU
zmPNlqJ|59W&A`d(<?4b%Wc*(6?rQfgSrp|s4xW`X1M_z)1TPGe&?<imtF1y7pB3D!
zSH5Hl2X%+dZ1<8dBlYNrJ6#T)wCuN>*EWT^bB^oc#7S7~oqI>>svJ%Q^JYCCnZVuM
zsSjix5^+GScCKTYJi4A<D0$^+0xo%uKBwb}cq`H_weht)n*Ew!xbyw3sbciuc^@La
zNSSzT8c)EF^J6)XZVc1iDIv9+i1@6%y)oaBh}p~DtsAp222&%UCE2@(nBF3tSHmFT
zEvezQq7fsIF4ZJ-9wlO;g-@`#7#a6m78x2%H-Zmlo3787647+-sga-n1<k8PA1yc;
z!T88+ovK+Po*Oy$->k3#hMF9+a}zg$2RXdvDrXYPmEYJUtU|@NVR=6{wQ#{afo^uE
ziiGo<>MzRMDWX+kNoRaI7w7{I#n&2>QA765uki>aba{AUY@;6+%F^8)tbIntPjCK?
zLA^4DPqt^e*>J(y+5D5Y9|b#-9`>e?RdFJ??4lTp3-_iMA2Cx_z_i<cT9Pek7`A5C
zXQ><)80}(T_6;iFiC&$asTmq(j-OmBAj$=yeN{oHE2+4ke{PF;86Bh7U$}LQe_d%;
ztgYZxMP$&u;$jaoFvVES!<fK@YITQ6QkoKOU9vp=x|JICpD|)T(c(g=UuN@YhB7+j
zPHt2aRmb&*vrL-Sa^d;gsV>jk{Bxdm+raj<ItnG-o9g8AMdG>;P5ikk-n{ny=9f$+
z>Q}SQ`PXsb*}XI3tZ*92UHtI*#&#CE#I5%jlQ4oq(li4pd4A5%-@kT6nT^D<ze?wP
zj3D&qsv{zI=ooD8I#KkBjRv0hJh0UWQf@<6ks||zB`<ZkhjB26G1_NuZw%KXpP1|#
zW8m4}3443_`I&FB?CiB>V~7<L-RX8h4Of4-<L{EJfrovU-pSi+0`B?0w}-2!qkWx@
z+|wBi>>V<Aul&md^e=YNvP;x4<3)qUX3)g1>ajn(ub2XTi{J48GbU~}Fx8Lo*F??A
z^rS#XGr0GWWb0qW#4%FdN5vpb{+{24J@{t^vx$rEF|=6N=D&a9#d=ND>-LfizHbiX
z#77_4Ni0lDYblkN(8R3_U0r{F3kct#mZ0~Jg-hu_3}dr2Ff8;o#X`{%T5oh6TBg88
zkH6LnpM*6~=}(r(-UdsU?z5E%<gsxHF+kUr-wTet2w#%y#n1V#<^L`^v+;2A>rJ2c
z^Yh=aUf=th6%<f?Tu1EK_~OD;nB5^3{w=CCkq+X4w6&czfyv){JhSVeH=oO6%~4u?
zJjmLfV|!qng<-`d`-4`fW9krj$1DXv;-h4FKc7d7&E0hd<<wAX&~sP13BV^y{ZB2%
zER?m<qZPfUW0$1q&RR!)K9?@i;?yzm<GXSxqhcBwsO8*0x&dGnHNl$4W#Uc`WxEDZ
zRs4NlEZNQ#z=3q=%)Kmil(YRJjC}tUDp)}+u?GmG*sb*B=l?qq$tOY;RO}d0alW7j
z&}lE}uDnJK9}IB+IyF+zjdc0$lq^8WY}van=?pw2GcXt-LgstakWG3Q4}Kc%P0sj0
z$1?hQ)AYkcl$0A242kAJRne`1HcdK;hP#J~Q3-hBPtC?uDi2<H+%H^oh=xi%_8Yn;
z<#5@-W5aVrRuH~=!M#3F6_2(zJR15Ti>jJ*=U6i<_%e9vN;X#o<HnaYnrh18k$SGe
zz#~h@6N(7v{i=j*)vM-hPRrn35ngVRoh9_wyFXB<QN(^mo0u#`1`Wh=R`fl!0P_|5
zlMZK5(ehYIm|&VTF5NSbJz;MF!w!+{XU-`gvwW3jFG%CC@R!$BPtBq1Li^q1s}vLx
zzEhu}BaNMI%BqBw=D<n)$uVjmV|3a&(ZmhX$mGSEmNc4yY(GWirvMpO+J;3%-jl}t
zAs>U;{PWDnd}uMhfrLkrHAVyIGU({bzP0em6vST}N*F#S;??Oy-B&R(xTW9cMeZh3
z*u2Dke2)VW)y03dt@tj3$w$iv;)YG2tXuk}<tGB(Kj_xGJzN&|z4N#{7it2^c|6~h
z83bhOl61%fIUKx9iP^;Wd7}ez|HQlr_-*W^e>$I=sy5<Lzp{;i9{#j=i5&qOdehn+
zBl-R4w#-hJr7>iD%W$kVC!l}fqIKP?2zXX(w!^632+BJ<zm}{d;2l?-7UuVbv@T!$
zm{`7l{!KCt^(A1mn4>@wiG)-Bf>cjEBk1t(+j;FW0oP0wWN=7iT$>#+sW!-k8q!&t
zx5Iqiyh-Ziu_!p^H$t?}<U;E3Hj_3RB1%o~jL==FfCmJhsOx(2eg2@JuvHlmogY8T
zUwVX!1d&&7T~)bo`_Qpx!^R|Bf5%k%bG0J6oz9ywnJ@$>#;$WON!Tlu)Ob@`86RJP
ze80zrV0<s<fkYS?yEuypq9H2SP*Eclb=?rkJY*M0h7_#-e7q=eR2Ah)Pqq?H8N!#w
zO+p8R6i}yY+C#sbhOLE1ll!6!A-3-Nef&Qc5~Yso$I$UqR#;3zgdqrcG*B`+sJJ`%
z(W+2qzDHlu&~J}51jD?AlHFa3sBmDYe1xHfv-iAg!ZQuw=-k?O-eXGW@vv=BeO?V!
zPu6#v)*8alaxlCkse<yg$13*oy*RDD<J43BdsQ6>ReffmiUt+rJNb9`ez&{u{u6C3
zeAO`)F0`QG)1ZR~?BiK@l*|0^IGhVE3A#P30U9#AZu+hFWaIi<U$<&>bD=h+Y-wRU
z9h<I{;w}aU%YY)GV`l{W*nxK&^%=PEy+`>@KL-!K-=F*BkrC+ky^`<gW1#Wm?vG-L
z8rZY!KaET$W8ex$OHK3hzi36w>LoNy%(^hA@omHyss*=8jOeIi-8G$9sVq&*7ufE4
zGsOe~G~yE6Th&pfi{+8}TNAlC`h^NMrjT89`c}R#6I<6xR@xbA;jz+;bsPaRP;34c
zN&m@2xm@`aTL&#%?GR9@*I)(_PIpJA5A%J#D1B?-axI*F<|{xtZ4Np?j&9DQEX)=!
zoH{q9i9@Tsp00PZfT)&q*^~TyP9-f9Z#brjFICo#FIBLF>eZk8mL;+A=_wEM1H=3t
zu{yZi>5V1$yB<8uu4Ut}*~GR4ng*7H{`8Vgu!8bmkoBUSjb0y8eUBP&Fw9R-@q{K1
z4E;YEing&)mgtaXq|U~H))czk10Hl-$+Yw?WuwUkqHf(UCh9HH+F(QlDBSKWLJDJ}
z&2@$UD3$8?XoG3E&l&(<;rzyb{QFA=y5F_<siDKwk<`EY0p^AdRpeLkdxWai;d4X=
zx(YsAD2)dYxlOg#Heun5kd5U2dK%88&h}kA2eAHp_Z&TkiHCj2JdJ4;tZI@eW1Z#m
zqDgr^W<ebXQq~Y+jwqpiLP@t`EC4&|dTsb>b(D;W3#;Z(@ey74QE(u@GB^4*?<6(6
z<rmnMCQL!sPu@x{{O1gXv=>QD4E(z-$2goqLd7$T<5P41LW@q8mJkCiqE6Ts>?B}m
zK5>=OM;_>UNZ;U@(Q&Xqcs}@}9FmHcRx}*qfxyM9QVAh69G(19kihrzCsaWWQ;@$m
z&(@|9A63+GjiEXu%V2=nvjz89E9lZ_x@r1N89SR}61hIo__*F8-b}~}zF$meNlaEk
z>vM;@kIF8^_irw335m3X<qxJP<yMMVFZ1`DHdzYG`vj8q{jh*qy7$z~Vk#0fpVZ~-
zm&A16=p$PKEP!<;UisS~1z#49wQrY~#8ts2n_<u#c6M-iZ9Qb1vj5q(Y+eGttZlwF
z?P(5s%(G9~jge4b;>x%`O%mgqluoI&o52=Er`~)538i&URLDk2Vq9?gi2!Fa$VzuG
zT<l52-@db>0}@hbeZ@d^<qK12`SH?@SwTQ8$GkTi8>O)CbF%~8$rPmQj)mUV<>&9G
zl65u3OHsdBW{Jlu6R@10u&36^qqy>m<zh9`IC}e!w>jVQm%kNW(z{0<TQ9ZP&mQ7)
zWN6<E^^-9~Rkz$)$Km&=PQ@utx-4o%OWv{yH3pycnzY`3ayX~A-r`E1EGmwQ?V1!b
zhBZF7Tly#DP|jJe|3JPRde#Xn4bCxwL5A|PrfE6MpKS8IA1jZ|e>>7C)<&@MKW+k9
zLLQ$zeKQ>qM8Js`ce9oabAhtsNT{o+JpSEHIPr5I5v?}d{kilE7p_XS8BqDW+0-Sp
zJtT^RREZG-BJjQaOX|2nyF3yFd@7wTlhJ6|<)MOEL&zQZcUsnpfS<0plRmzr;JO5x
zPgZ4ypi{6xthI)KhBDUmr{$=)b!C6#`Xh$0(<3iedo2;yJ(RLa@m0itYY#UE*c(C?
z(~~DPL&Q*fj-S*kB|I2;z*|kp5Debep7tmvp=4kx;rAL9{3L0jsWNW>-3MP=Plb~)
zYI<k0U=QC%Bo{=M4jDie<EzxYO%#-nTKf{KY3N+YD7@Qc0B5-$9Q>UW@M0Hf#^5|1
zBVsE0y51N-$r197CoWVhJ;0^N9%SIgASoZ$K?C^YN$Pa+SHxFGH7~F5P(%9-Q?~{A
zzpIz<ZgA6iCEWSvOr9Ix4?hlO4<g+VOn-ECEoxCl=NJ3559%^;Pxrdr{vL*K>GY7h
zEJ+nbr)qkfl~{Nyt5mKz%Mj8wd5<45qT$a~himDg{2UrP?tK26A-vr>@~3%(h8gE2
z^e#`bF<q)J)0NLzi$Cv+8!pqar_w%q{5juy<3yf&z2ZVw_PWdc?hNdsuZ5~h8dy(d
zQD1E`g85%JzB$OMp;PsZQe#g|e86yc;yPmlU#vDA9d1^`ni{n__@{{(!jXpheBUtp
z)FJ0|OdXA^x$TD%w2+gMV63~z1Xik!%{1vV(O0=s>d03uyy-jW8cjEa#-HxV0X<Co
zF(jR-woDuIhL0Vu`fdsWrW2Jip)6GRPUiGlYvZnvL*IH@%=larw22mE;~LeO?eAII
z7%H(*&GxoAoY!_=86Lq#2ZiQ8m%Fu4YjTTIZ=wZ6_-{@gf6vC7?qB!+b=Sft8`{el
zyZQcKAGlsfn}aHJ!OvOOHE~zHu0?>66*T$%7IWRo!H1*qAHLLTU|=sNSA5P2*0*o<
zTXc|vSJZ^5+#(Jd|66Bv@fHu{LVDdl`f~7y#3QFehuG-WW|Ez%1`v7D^Vjhe93<pT
zdQ#~u{&z`_c<c>evqW#F%^x-vM3nfZ-dD#^MJ-M3ivWUGOTry9+1MWT=F6~!8qWRt
z6RTVc&?loioyhNX<5_>E8AwOs;H4(-c7T}g)dr~vEZni?tn|c68k(OiuwB^;aNT_E
zo%ntxw%>@hVpl37u~lF?xD#OADm{bG3?@F$a_fl_RzzBUjMdkA0I(Q%9OkKxejP4*
zW8x^-JiRe*{sw^A^m9=OKKI894n_R3AmMZ6S9b)X08a0tN$kGOK;qYV!n8gCuW|}<
zj_`YmLHK(I<u*DFl@IP6^^wEC9}S7!1OPQDOV{H+Xn2<z@=m8u1{?c+)Ck?-!3UWZ
z|70Z^symqGoTo{n@U@!tp;|l`m6C7CO;f?lx}9^K0{ooR+IDr_H7iI^%?p|rQpWMT
zuK}0WOW?%!y1uh=R`8>L&Y&<>5nG&|G+Bs?qloL;?_Z8uf`iG?$Z%yUCa+#@8ATUE
zL3e>i&nGOP!L9aJOe+NwcH3-GP8P-8$|fJSZL)y0&(ihUS!6t=E&oM-r6@`T+csW$
zW)2%4Wnb}$C1Im{u1bKdD1JJ%-+r}`IXFj(ealK9V(o4-XX|KDd@5i4QsSl=_(g4T
z=+7r$`0R;ogh^2pHM>XMMKyyPIT>Z+L-IK4og%N3EQVGYaWfCjn1bQ!r7`O)<gsoz
zSMr&sIGPT-C<Tg}!u<hemv6Bg+8WJWUF0Nzr<Ep6>*GzJWV+QS+)NIs!-dP=c}wB}
znuNRn-~Si)=s&4`FN^a*!DP}^DU6Uh{m(1e7{*=-_HE~Lckprf5$4=d{7}nlV^WM^
zkLKWxD+gs!XI8K5teFgQyeoOf^Nb)`=-jCX+hnn9k@lvyBC<H^XChu{Y6Kx`qYXuO
z%Hqwv`N!vnWU=__Lc`+MTu>%Dp7<Iji!X})+%kGChaES>Pu|(jg`pBpzpuHn=p`oO
zKHDmfmJ^Q0mdJBKZmzuf%7`qEAHR9Hp`XvgTaA0R)EEL!WM$87OF1-*xPkDGi1`I;
ze#-|Mg2e%O$AO!2=qT=UjI^AL`cdD!(iw(OGkT+j$dbn*G0&0d!xS`e*qpy@zyKmV
zYRHzA@)-N}l|{%a1ysHp`R8k{0U*ag#eEwAZ?-;t#o{SqSWBefhhPI()vh}lKp|pY
z-(}svM@k4{&hNTb8^ECV8<&(}B6615FW<jW1%(1d#7=7&z+a0ztF}fG$|zs|AR@%?
z3+Ia~o{|jU<wD&NZXFqQ|3&Q{{y@Wc)}A~sDFg7dt2VgTM8O@sr*Cd}PDkUUHpMkE
z25{K@SeNRk0v>lr*^pGrK&vx`tw(4E@XB9u8JntzAypZafC@GAn;G}|Ze;+?rykau
zZ&$*kl#IPz73z3PAV;=7&;SOM5~EI(E2GWZHA;ciOk`E*vnC4-zylxEcc`eMYRf+3
zS!ChG?6}V0IRlvTvnaG)Lqn|_@jp8o*!cV5F=eAIh9JJSW5WX}Iy#)!F|vHj!JY?^
zev@s65b|_sZ%8K{v%j}B-mlQWg8JLvD144^u3Tr=XEU&Y>+Qq5tcflvk68Ub_<Si<
z$VlI-hQj|Di@n>ch1#ll9l!ZraX&h{;gqR5>QB!;C|A?QSH{Dk*LEAj#XFG>Zv>gR
z#9qV3wo)5^n(Jf)n3%xFhx>oHJ!WG1L;+2Pse|qgBWmVUQ`j=<7n>f=!q<vD2c~xE
zVCkLfW%{CK(D&%p&^I+UHemg@?|vQpdUd?=_Fpq#{%0AQRn127&9&+z8y)=kGAeD|
zZ$2*;afDhdIk<JGKuDoa8_6dmcd3830N%GYy|FwFa$lq@J#4CtkF@1A>V_@BE{#Jd
z`_94f_|x%TTeQ&GOAz8-T0!agvzLPD8d#;$qOr|E6VLr~9G$+w1HbtBE~c&qa))LE
z3>Il%(4JY>;N<`}E#qEarD)(DA1Bv}R5rdnr?32n@8=(FG$d{gaIolUVeJlK7V3Fw
zX>V)<P__5GJAZ<MS%j#mDlc_(Vy8N9n+Fiutfc2E#ldD$Uwcg%1Fu}6=KQC;0{#a8
z0RR6Kmv=nX?-#&ruD$oTu6fPtUV9#wP^eI$kQ5q1yJQt*WF#Zf5EYdoD*2MnA)};{
zQg%fpGbLsF`ThI+amMR8=XpPGa<cVCyQ3PoMy%CThg%t6t5O%=>)Ap_yO$cdNgaEs
zr%ukcDB`8_KN!>cw!ku_F4?}MhB+K>1s)X3;eY3k{QjkE3oo=fyf3M$p`UglOHqw9
zX1!_(w&AjcTNPFAf2>qdlud~qEGUWTk!~$<0|2Dj$QN$wRdD6;yKQ{MVklVUJ9oMi
zpo_InXTh6-Z9Qpr8<Iq@=r~o4?I1vk)8V19UCNly(jTuBB7~&R{N)uifcL@$1=R=1
z=*H5VnCr=p57QszIJ~z3-W$bxNCHYY*g$%}_caN3D#e%Wx3Pg!f3InMS)+j7Yd(5}
zws2!^+4LQ_X${KrziJ$^<S<#miZN=!g$=)E^P9M>;a8VmY4(B)c5IrU28(kd<<*i}
z$!;sSVO;WOU9>d*^`jPex^dvC#KC0d3rmO|-@H*?Q3~f{TQ24dv14A!p5ziOOBnYP
zj1=vYK=t1`KK00snNDL^k!k_=gJ@wlo`_@jyNC-1KCxr4eavOjv^i{eX{69mDTa>S
z<OW|84$Px&+p53K912`ipIE&T#UIkI8A0_NxNDT&l-O(ryJ_;ROb$`pW9#Ujd5jYq
zB8m%k8JU68{@!L@FA=Pr^4i3^nG1FI7QbOFF$L2fYkppB5ymre4H@&Bxlw#$l4q8p
zDUd4@lK;60Bb_@%E%6u+QdF(?t<5um-O7Gck#QlkzO?RdWfckQ=3-0NNt?h!{%FnI
zKq34S!THcmf)AHJvc184V_06YD#{WRLVCNK=bdzZ{CR`X)Tv?&%y3R$_$G*>za0Mi
zr7noA+#R`(%Z(sT)$Sqp4?!$C=$3f1R|q>3YWT95M!+Ar$>_X<5VD8lG;IGUj3iS&
z>D%3gz?EBAQ@c6`ErUc<Yr6>celFQTKWYf`Kc5{gTdlKS;#%}zk0`d?<tRQOZ3uA%
zz3hSOgt7CJWNhYNF_iaiFz-MH^uPX(drO5d8m&Am>{FG%J5yUz^1~Rg#(piEw4Ml(
zH~gZt1W97c$HjW48Ut>7d{|%kR0Kzk*k<}XmBKqGzwWRfq{C31f~(UGQQW(G3r{{(
z2IYz$ap)D(Vc<sOK0X;S9QpI??(R}qy!EYwqu?+d3_?y@z&9~$8C`OTcaX>5miCex
zoawOiw<LtoERJvVlQIv@DqzTuefK$a=n$$j6~m~Nz)Zbw6Z;#K(DPoD;7utyuvTtg
zNobKomn`QI<qk3i*=E(N3DF@D_*Q~`Na3;Wz`26g%BX8HwC1819U>bO@BUDfK?!9y
z37!uW^p8$YR#d0Mi_WflvwLN+^tB<yVORwfGngNKJJR7KKgDcKn;bd|rYE(ts9{2X
zR*qK$9nJ?|zpu?yKtrd5xKy$_PI@RO<kiuk+`4$I@TDS-7z@bN*=gW`R=(^x2?lJF
zfae(uGRnz*JuniaiC3?B4;P<e!1vzza7U6dcD|Pge|d(AV|sFFci9X<K&hcP`I|Cs
zYE*Ano3Dk#L$s`yd4}-Ie^frbnSv}O;l#n~+IV1@oORIA2=*<=C(GPX!E5a`JCieX
zP<(T5Vj7<@I6jZ@Ii9MDjr9}t)Lpu``~Jm%&~L_Y<?OV=sr_mgFyB9WSVRwV)!e^d
zduIZzE(1rh9Mn;POXS4f3_U!-IdJgpJ5#v!BPjchxCRE7I7_?q>ESN6AZG2L87#v6
zyglzUaNg;_wBnc^wrQvM$}gJ3`a@o=4$+!O{_Aqr{K;yZxu$>`SxX=V*=JS=Q!!JG
zS<!2whsmFN4KA2k!6A2<YS*(=<Tl8ll*H=d)(JLe_6^pslM+&;+Dpa$?-TmskveFW
zuIZ)YX#+JyypPBEw9sOveLB-v8`mp~+*MTrkdF2bw3O7s_IrEVQ>v&)<}{fX%2<6@
z1NPqiZ<dM!QTv{=kTmgURaI=|IKbl}{%osCDms*x-<~yAN3WZcQG&*{z)Vbv>vW)E
zHb0S8yIvJ#SgvmTvd<P?CVGBsc%+G&de5Ku?MuOXo1OKlQ*EKGOP$4&T@!O7xh~Wl
zAR}k!-xDMGwjg*>Z)+n%15G%e2`+0Z;F?|8{~f+)3#R8jDGxfU<K3o-JE6B_@I{X9
zfss?TP+!OM-{?j)eE2a&Vc$MUjLni<XX?8e$LrZab0<~g*!s=sTcjAuoLjL-(zb=m
z8u?P<CMp=3b6(c<t1xP4?r{|V2~b}yDH%qg;3RNX2{{SiABXFrtakuz?&;t8R!|uW
zUR1a<j*{?8=&_~segKx5+BHTjWTcF27Jli>h3#t3I-3LlKJituFH9?-W3yvp&r^0R
z3gJuZJ7fcNe~(+;OL7?WMyQCLV8sxbGhE8gt)Y6R!N->(i}h(~%yM8swFuXqP+4nG
z{rSzaZkIHEQJ3Q6-MvhBPtk4nhgd;}$NB?|)%|t9)JxHlSRzgY4NvVPETQ@hkD-{e
z1SU}n_@C`xBwA8V@;HlIf}#Id$=@k4%xPPjwb^@-NRvp})3eV4wBJd#^ga<q`M%gL
z^M*x2Of3BB#b$F@k{#uBC=@|92^RO}>?LAMqI%$qsySHm3)%RT3ZsJ0<O`d|W#VSp
zbMeKqW>9m<c#yMH2(#Lwgm;ixP*GHHQGCJ__RnY4ezy=r@xJ-=cotTySGkhv>S+r4
zQv2`<rvM%{nIz>ev*M(A`0~>x6ZjDsAnM1(k3lt6`=3j(BY&!O_6buHh<$q}JkWv<
zzwB+ft-6i_<-2S1GRllWW(B8(3whD|{(+t=S)8aRn0ir4+Zetzypx$Q;l-Yt&5!#2
za-ruus4Lwy0v;2;m-X``<hnu5);_?4KPW8Q34J4IYu&wg=?4kLyh9oO9K85nw+~so
z+7R9gHb%W(Az}Nl66^B^d`N!IV{YTPdQMA^Ua{uIb9+mgB~J<<^YgK+Jv|H%3+SVg
zZ}MU-uAzAb2;sCb>#oLw45-P{sybl6hkFFu1128|WBgLop=4nOa4i_>#|`nJ_2c8d
za;+lhNli>=eMpA`?@x&6*YIP4VQqxSZ&5te&mj}(O9xx#+g}%-2w)etf<5SoqY97f
zv#kPjSlQz)tlB4t{(?FC$gvWbGW;+`u+aeI&*+X@hzX<I*;sS!5lN(a@Mp`OHh@pN
zThdJ0gz;#!uXp=iX?$y)(l6;`04Wmt_9f?uAZG~p?BSBdxB?z>g`@$zEBYAIc2X3}
zOufRip2}ew>y-l!Cutzo_))6xkQffUmkt*?uYiB2TTZjSr2+kImHxw1;<&&3#>2)K
zC46D$bMI0e4L07hQYgM9fo`zHe@!zPg>LI66g;89lxnG}(2yiDBWq-MdzEo**!E%%
zq=BjB=G*`iX`E$ADZ9T!!H}P)48%Xuz~bnv(nygE%D;#zu+~*YM$W}c+m~tJ^_Tvt
zSW^z?@^*5Y?pDJwUYYrqCI+zB5%^?nlRVBRbg71xs^dCoGbxrc25{2w5g+FXMeK{7
z*B||>ftO8V9EyhxU`pV!hqW>p#}%*Wx7ktgkhZv@{|-7FJJ@>sjnFDzx~`wsOVh#?
z@d)vo({v~rX^E`oqF~k*r;Wnx+898~*>e9H1G0mhzfm|;ko4N}<vKQ9WXZU6$tB1T
zu3XdbJHn}o`?s+L=E>`!O{~DFr>i^)pJOnubF1M1hva;<gg(}5+1j48Glr4mliwz}
z)KPdScd2wpA1TG{KX|=Nz|AkopJ!#2JIb@$1*~a!%NXGGX;Y9s{;P&-OasjnLnXrZ
z((r=3i_T}l41@_Y;nXHg^qoGkwEZ9rU!S#mz|Ly{t|NtR(}`4+XH;uRxzq4W_u8d<
zTP=Yt*l<2pUkj7S(x#%^G)yGs57F;fLH*m->yIk6P*UUOnL)BXx`}Nv6Q8mM2Nz?Z
zd|_>rj8%AlYCspu7Ba6q6#;m6D*b~DQyX{gu(L38)xk*O_rjMe08N{?njF_?qa9qo
zV|`2uqvOtbr%Ky`OzT79mb5l5$bGqEwO11vAybru=v9yC++OEgtA(70wr}3Q${mjB
zk(tx4R(&D#82yKV7TUIl*Y225!4JH7=j=I{aPodN>0u-l(`p92>I;;y_hr_fVhR)f
z@R47bU)RLsqChFh21UHC!MP@l%7lB_g?yqnHIS!)HAUluEV@)T@2Zq#0{62Kv(stn
zxPBye{BD#aKGf9xeR$Ru3`ExIXzx-(y&igx>1R=-#B=S+Y_bI}zpI7!bW}0tXk$L#
z79l)$ICfwr-WJS_rDOdkDfnY!#nJIb5>~BG;X7t#3!}Yl3X)~Y`24hW@-iPMT1}Uo
zsrv>{_Q5x3`p_yDBi_C}LSe<zQ&ROBDFEjx$YJHD711YEOpEK!0>LZ2==n$wz%2Cl
z&wEDl=oM?W_c7}~!ZTl~P5!D4RD=|N4qx48U9pDWUmT{14dxZjT>aJ{&X*A&GAD%<
zQD=_c%AX>fZv+|Y$Xf%e6m8r?SQ0M>uOFzZm>{nB_WTp{wF2Rxq`FR5aSVO5Lr3Vz
z7;z~~VNXMWC2S28>#(R0#m!Z3+*G*62;ogHV>o_TfIQ=o><%jt{QPh>x^(9l!7j+2
z>Bg{th+Uj49Q{JLweC`A;I(n$-Br6oGpEhrZ%@mimP7%xQtwU~OrIp!Vh*~<d^7`#
z(i?3P5q#LLtz43tG(}YVl_$N{H-i(mkE|OlBjEyfw$nGR-$cZ|_li=frtoh&+oNd}
z9^CNxbhq!LX+k<~?#|ex2{20KKj^&U!V8XRe@Lk_gzcEocbm;7@V;BTy|J1TJ@RA+
zHzxiguD))p=R{*T<{02E{GJ2f6zY~=E}A2*_q1Hl*Efcjq8^o(6*(|qXUcZr{srQi
zU0M2rLZemwJ|45mVaJ@8?Nbhh%S828%kI;%MlgIo$xqsp9k;^rV}Z>q`1|FY`PCdl
zXf#3VVpeu6J@>uMvVav$oM??~Qid=p<LHc2Y&g)s>n^v%hJ2R1?ho@B5E(EToz2dU
z8^U)cAK%Y`i+-{SwW<tICWo3nT8*E`$~b*;niFI9a(PiJ=&-n$??6gt$1%~w_qiF|
z=vF#1B4SU6r_~91otzw4NEBR3UPr=hOFXWbJq9rN`s{e+We%+L3|n5S%!iY=obuis
zF#uOHe!pxFPLy<<`AU)zz@i?gXIte$&%9Q6jTRU3bN9*9jf7CfFq6lph6et1ehO8T
z)qJFDruS-vasC3|e;PqF(5zE847B9I;}&km3jc^;lk>33Q%M@=UrTyDdYpvar45ez
z?8WdPmmZSx_2JJu@r@6<c`>f(S_RjAahyBr*z;FHA8tIpad(G5KmOD5&pN@7#I8Uu
z!`;{Pz*;0Be?U+Wc}>0?Y5E|A@lruaPfYbdX#ag5t6?Er_Dy8;<;h@1nruVVkS>&j
ziqi&Wgfa7uX?l9J9Ij2h5^?^zF07+(DBLC_iY&q!H&32bz~FZEXJSWmp}Eky(AicD
zOLcZjk5wq)@sr-Qk^Z_MK^;i@lp>BBr`~?_W>ZG>INRvFAYJfM;V&_rmO$+tV_clp
z6fAM)KAMxP3wMtDJn}puh5MJ(3)NCoaA`0`n6+IOHfEN_^N7pfOC|1W{bQ;~o%c~_
zHrIpLgX-ze-^ilT-94@O+te{o>SQ<djUI$#OsSTX$m280tFoV68aQz)kh3a7AGEZE
z%G9nZqSNdt5pRDg3Y<7Jecp}+pE7%npYkN*Ls=7s#Do^g3+8?h=%GQQU3GABh%)|e
z3ivQ_Tn9Uzy<VG?W&ry)wj4`Hp`edP{YRliUF3Wu^n4<K4kO0hztkV8;G4Yu`d=aX
z_<qm(&g)(bnBT*{>^7u|TB}`Z`O}akn6ukH+z@z`=XXnqsiTBZ-{Go1G|V3IJ{54=
z2nv2%)n2vHz_U$p@s#}r7+-A2MPW06L&aX9nmaYIj;ZRT)?k3v(V^_~M@@m8o#8}2
zM#bUaqK5_J2H4gl?RSLD9MZnOFLyYsg=ZQs^yq#!z@y31zS37LKy6FuuW5H}WZcjD
z+j!dmbvv@kk62m3;-w8`NBDG*YIL4skD&n`_VAaC?XrgcOoxoqIXd{X^g(6a85-uQ
zZ|xT}0Qjgl=vFhKgUjodriMTt&u*&Sw(uRGPC4S6Hoq>C_f=~Yi0fj*M@vPcL|f<(
z96Vn;se^5t%|H2aweZIEnGcOZOrZIT)t}DNLDEQ34A&P8v~<bxo;$&W|Nd_8{<^G<
zam)oOl}8ONB)$GUXk@}@MN($6fi@~>y{#!zr(l?S7dhf56Y^%(XUfsFu>9+YUVDim
zQt#Ks99m$4hpTpMCpQ(fTK|bpI?JGuW>kp87!#7EFGTRvXyEaO!jIiN#WBQHc;-z#
z6EdYY%q4G9$Jb2HdnwO^@Y931_M$i@umlwRG3-}Gm!l4ss;0Q{uUp4%!jK79pUzwe
z^;N;y;kRuq)~x7Z7uBlMZ3`YdFXVUkDP!VBs|SJ`{}IQ2=UmS@Yzr&<EBK`Y$mo7o
zenKpKoH%;p1yzmL7UVVvNBVqIz!b3>Cpnou;%w<!YWQV<{8qmDSv5Jl;by$0!sH2Y
zj&+pllrF&8+4fJFDbg4{^(yE0rbe5$H($#UQ8w^ytsGB{f+Si`kaqt*(rF{V;I-^j
zWDSkt8`w<y#IX2M{Lz-uKAWGvhStcxvV!dn9n>u^MDW{lL7RJPKilx`FN)S&w1fq*
z8~qzvh49(yEzcvyKHIdNDe0J|S%SkK;lmle{P^|z7P;`VpKb0ZZk>Lz>P;M+EFK1H
zN!TO0aA&1rz{Y9i8B0v5IXGFRJpPi%g-2>!`1Tw0+Ngh#|EN7}26i%+>aIy~V8!ms
zxfl9A*l>0WpUto_14>gi$I?$$BpuRte(K*_8<{QL?~i4e!uoSntlRimkWFFtz5I|D
zHsRN-9u)pC0q>K0GZ?QIiJzmcVw$W^ZRiiauK!?f0u}sQB9G0?5xLfJa!JbhHtOE_
z`Q0~-;iI4T>`L4}!t1{xzJKgx#D%79=Z^6igUc8C#7Ni-(Z(+%G}75XWQB}ei#cKh
zP4%8dr1EKEs%t46UcDktO-0N!4H-hRzxb{>i{C`X%O6qa-QE+a@wa(Ywitrwx^X))
z|1Uzn)0>ucubbFM4)H$J#(>k6obwejQ$)qBuX_%x3=k1{MQj%x7;te&v%>%BB%#u{
zVouQ*Bn)`QHyvoC!=6KqVUO-k5MnoqTVvmTB_#M=qJFHQLvU2reZQG;!uZ$i0N(gv
zqHfy7@>{C`*gR2kuD&o%gxx%rlWIRoWOhZCxqBFZmdNgvu&8lDczIgYTV{e#a2nQC
z{6vFV*><kr@^NC&jLR>FV~U7X_cJjGrNOh5%a=+tCJ2f_+mqbX)jqtfj;6EFz_Rth
zclXZ|M3wu3SETkdAz3?j%ScBbwkTfwoX|B%h`fC141<4&mBbA5YrcBW?a+I(jC+bO
zr(X+HeEgS)uW3Bxnym{5#bQ$TH%t+;{af=g?#>bi4u#T9-|4{TH-&0HFaIK34%&|R
zw#*Yc7oL>(O6fo#YX?~@_cy`gs#TUJxI|==M!!AVp$*4Av29UV{l`4D4rhIGc7@P-
z%Kq|1g%$)H{5bY*<`0n?8@l{LmKCMj?elU;S|E39u+q-wFTvaR+^6n58(MTqHmwP!
z!g+7%t)<a_L|>`H`vOf4bX3mMdh}8g=6~e{FWi_T<itP4DShX}(Inx=+9sMXI>jVP
zQWpq?!X6f*SKL^9c_f?djs~#x&c7cnSt3G|7yjrDl2G(<wa{Hv4X}KT+>#3`gdnHN
z=shYwI(@w>QCX}G5#~iHiT12$$*~qIN(AwF$-vWAhB~z0&DByYWy4$bc7o0o!Z^20
zroQ!s8blZWxWY8yz+vb5UuO(N(O)H)TDw;bL`sh)Fh)3W-Cbu}!A>zO_o&<YMM@2X
zZpIiMZCb6bP_mN0Kms2aUA>AOsvx~X`}2o4Bn(^VdfJ#Rg_V(Mn`u{6;r;{p`+@xY
zSSFbkbEaAbKd|-=?K+_f%&CQ-@EAcney}DfQ&1jnsuP=8_Nqd4SY2;TjxeVG6b~Tf
zDq?#4mlTzQs<2IYMkifB6wgM_v2Q6QV>@&COl-C)bTaD16K{#3J@*eaFDeBm;tfBC
zbg9CLh%t|!J0-9%v$Oc|GZh>UuCkc6QG+^t*Og&MDfFPXD@LAFL*Ya><1cU3ph5mb
z!um}z=xV@vuVaG-mYqNK@O73tn0EN@N==r-$Mb3BkF2S9H;7s%b6x{<)>9$^#}qKh
z_%kWXUK_Xm>pR`PdcPr`KihAzAY-MZfWy~qx_BWv*ZkB*Eyy)~<9RS!8M!y@5G#w+
z$C0yVK7LczflbkIw_@2;u!}O7%>SB(C%!!i@%Pk&A<8+nA2F)vPN{mg)M<dyt{3{Q
z9;Si(bivF^k~(U!DU;k^(UCmxYkTjM0nFu420AWj;5&K2n<2LusIc#$j`wv2Oy2)F
zFsn_)jmvubHT(>*sW0LEop>Wa3+>;>A8O&`KM&t61BST9i?PQp#{~E;H#Bxrbr5sh
z*>1`k;k>bz%9~ea@GR2#m`<!NYCR`ic*AdmTxBIkUMX4v-{H8kiFfpn*b$qhdeacg
zRApta9JdBBhk}OZ`T9s!8dfELW?;c|+vN*80fL(?uAmAHZQORue|SnqrukO`=?Gi6
zJSiK0&W(n8TENw9Z-9oiN7q&!W`d7@>E68_G#q4{4T<2;$1ldi#cpfuKq@jNG+2X%
zH<q*C`HE;Gg{<MPIAsT~sweO5Tg^MXn9QTruZ{=E_JKQg*@N1Axyz9ZJv@55`;68_
z3XVsrKOMbc56s@Nh<j$bs4mfZ_d=IE9!+p{o2j%1dDW-yXRm3aXrhR*E~f;VHfK+#
z=h#Dm!g!2h2Neem2VHjb@L_89t;NS4_VCUpQDE;U4Lp$aY0HbZ%S1;~W80=_J7^Q3
zJ1%vqVFy2F-0e+6g#GP$xvf!lP`$Q@dG7ynsp8$CCI8808!v}|;2aa|&3{HrRVt(J
z%KI}H|C_PdRMp#lJ%kC~y54ep0ZLf%&q%V@o&`caT##k&w*{g3{&Jo(a+txKbH25K
z1E#vIgg&{h`Y-3vP{TecObBC$5=Pu`RE*2Fu^zy5tI%;;m^damhRMb2l0f)t(8o>Y
z0PB7827{R*DAOIb`R8t4xT;)NH4|<F8`s#>o0jooBV2FM73Txi;5Z566V?!SznE>v
zhZ`lTdR$aD^MSwNk;TYVD|jW_$l0C5hE7qscInQ1u)r!Ez5AXeaP)|qpWnVnj2T~1
zj1u7k6|;f7O<fj%(_E}4QvVR~uigm#t>J~jVNr}0SoKy8X6UHo7*Vx$cT~kTUf7|2
z=Z1odIUM+HTlGw)pP1|UH~eae1h<{c48t?cVEj;_QDE7B1Y3F-C8U%D=XF{s&4Z@U
zHnZqs($Q*jGD5-1C5!|dEOd!@GgHVEe7jvT{FBY{$<8iE7ZSYXY@SrTXaZBTy_tbs
z!!}lxa#4gM2?h^U?J`?12K5Iy&e0}6Z8%*bPtWWk!S)ZLML~haQ2pWUbi({^n++$}
z61;Dbz^(6a>aI>B@HKqBXM@yVn|gD$!_5M`(3|}1&%!z*Xzp3@!IfDXQl&EMqszST
z?`qmCN3$WYNQqfR;DU|H*~ze7oA}^f3vXqhgCSVeXLeHpmu>W`*Rm}b@q>VihK<N7
z_aodC=d2=GV2!iwp=(S52vn+7<o0BMW}H;CRRb$5#izukoD_u6$^)z(!*n1!1y9gO
z?BLDWuuW-D2sX;>8|9CpL&5Cb=6#zvVA-RrW2#0N)D;IFcuUj4^ppV`%Uw=5kS18}
zcufSle}4M3uX@!_J4qHV1h`@EkNI=_mqnp%L3<$H-vG`X7kzW|6c2RV(xkXmiowfi
znV7!<2EbE&wLFW&3&NdGdab^T!$-&IkE#tc*!X<x#)aE_FqC(&hu>Hd5_nhkB}UO;
zdsWnp7rO-Dmvzxuwi{CLyfCh)9B6Qz&73>NS_lTqE%kRA$bju(?XwR2H0TQKP5ymZ
z7<9gV)C&A03nyKuo0J;#K{biQ<i95ZW>5Y#E0)Q__YnJ-!5DqmEmKMscq<B@w;yJN
zT~`FfI6<xN9{QkkeEx6%uQ=Qu7AC^Ck)hF*<xxE7gRUSs!EdVsxF>tKHy%@l;)1a9
zU?+X3OjdiK+aL-5zTEk`=OzV$a|Jghhw8(G&bzS|rZfyV9{OB5qyo}B<T}&G`p_`a
z<~q<P1EE<a&8`M&FwesgbVh^*o-(!UjpyZ{KYV`4FGU?%-qi7j_|TyA=Rlylp91_3
z009606qk2A)&CdAt!wWsdyjiB*R|*S7)gXE^vx<wWTjFfGm<DN2@$eVDauIo`B+V4
zg@lk1l9j!Fe*d2T&N+{Bp06i+KINDAydqrd)Glv(O95n}#QM=(5>npo5B=n>422YD
zowqvb;9>Cix_yom42yG~zSOJ&2m1T#WSi7MM%lf+=CL&75%8rI9TMnTolyA{N`-gk
z3N*uSWI&Usu<J=G83gJ=Ck3rFp!0ypGtY0bFeaH+bahY_{?v;kPv~eu{_iWfN^^3s
z`+Onu4FUyZM6(MW&9vYY&w7q4y8^g>yJCLgDg}PnRdAj<qYclF7PWiGD8jK<w!&Ex
z6o}cqDnIyK2XtRMWVDl&;QJHZm1&|nIIQpaO2eTCaXb&FOO%x1tVhlEVGDH-X)FHW
zaakW`qFZ#2v#S7OG9jT-Lmkv=Q^tn>89-osW4>0q3WTe=jF4t2a4r3k;9!6e+-(@m
z4G1E_t=+%$>n~9t^lW@>;HWXgrdGQTP7oo1A-efdjv55HF=uSa0z4UUlh&b-z{qcm
zlrT#Mqvs)L{yjiW`jl<3DG83Ro2(j75h3p#&9NdU6JWffsIgCi1Wj$hwca_(aLJq1
zW3$BstU~#1Eb57H%sb4-Qb7?)+k@{<kW9huzw=XbR3hj$pQe?*DF-^MTE$g<rckRg
zDBKXB0<Y5<IPT9$LndpZr05+}c*Ekh^)pf#=4ZmkcpD_Z{<&5yPnIcMW@AZzb4CdS
zMeqDE8W92GPFA|ABvYvIQ_QQ-RfI$Xj=EM40jM$BYFjyN3N+qnYZ=q>z~dcA``(HN
z{y0|r(x;dL$_wT*N|6JSLsaO}Q8s|XZ7;Zgn?R`NyBQ93S+K!!ibu!<_?z49u$W>3
zBN9bPea+Hf5a{nr`Lm5~6$>$o>X^X8te+EE{!%cTr<Xe6vW#@E1YFzK3BaWBkfT&v
z0$%A<TyBn;MQ;m?#D4k$lySY_6n!iTy9{p`Z3T`Y58Lsj7X$z{V;_kkBmyzGfd-9u
zKT5e_<n61Ez`#6SrFvZup7oeIv8=YCLH4;LTi(X7yQ)}RYKR|L`NopOFE%0*r!b|A
zEF*XjBrNJY#|!aE=W9u$uTj};_ASdUL-5zEIa)*FfnVzH#u5*|Lb{9YnI*i25NOL{
za6_I8^gndZ$m&+1ko4-85(f>SqT+o-q&YiW@~y-NdU3QGl-B$?T_1#-oq5O0SYYc~
zfm#9aBkI00Q~YX758j4%*=3wz0{uS<qtB~b5nGJ;s}>zSh!!qb;_xMa67ig#mS`6m
zPjM7pNz?^R&B@EbrSy<MaQ<|VwGSPL#H2VTbl~hdg9ky44mbxBZv?9kp?tTh`(u_m
zurJ!Rc4LeN<Qf^C#9bXhU#m>A+@5MfI;w!;{B0EeLn5+dWgHQT!w=dBYJ-i<1@_y0
zn@DS!{PoM#DHN5oGLaIk1-YDI1Fha0$S9e|r$uE3`OCZV@hxh?5Z?g?y}j$`>Z0K>
zmUDBcSg04CduxJLK$yCF;2KgCFf*Y$vVd3*h&?_yq5=Pj5k}McR}pcMoA;>8A|iSp
zvYI}s0a`(Psf_WfNFcUhV)FDd3b`QN@BNDkj@4rQvHq*bDE2)4cETzu|D-ZrdzuQL
z9}&_j5?4{9@*Vo9kL&1Ha!mW=oH_`PEOku`uA-h-6!KS@E##D*COdpZ9r$+<wB%2%
zp^c|i`@8LE!1Lk1&qZA7aJ!RUR7i3i-3;ZPP|T%;<5<W&^G6gIUy`%tVctOZOt(s9
z+2|p@zqkoEq`=|Zk5}kqHc^t>>&_2}3=ms?q|U8O4NUe4-wX2HLfxqH@oq9BM5^8R
zX1kyYSEKoYuS{(tU6<C|4AV?dB$yJCYN!gi4)yoPTWFw8Zch18D+?6Ig<p$LB13_?
zjlW$zEifo%I&S@711AA~<CF;!ES6Y|9_plnQ^zbTmH0T}KxZkho-GMnci-xLOwRyE
zd+b8>jkv)r?5C#WTOy>ljnh&N5a7~d_Z*!B9>}ZqYUa=(0%6~1t3V?oP{;q$PcQPq
zsSr(x<u@uY&*ZoC*@YSMzcn&-g!9971C5j|I~CZt$GW;9!U}$D8I@;=g1}ju*&Q*b
z3>s<7QFrLrA>q2gkjuId#J<0>Dwd}VuWSxhl?rph#3=m-!FdtLDDu4b?xZrPi|fue
zsd0k>$2m!EUNPv<JG@b3tPJO*Z<KlX@_<6~Y<HNO1Z2|xn2aJT!+!DMBQ5WFL9_MY
zad96h@G33M@zhp^hw<d{4kLb`DY}~f<()Kmj(Hva?y3w-_(cVwP603us;6?Q$inW<
zexc1r%231j-by$@2v+`hJ<EO~2M(_MT>gA2@UY|K1mAHHXtj}Vj@+#PGR0IA*QYA5
zm;L<DArDdT1E#@-9d1t7FVUR8NQ8kmNeQ2?hy%#`N?5#527}@UvfUvh(2yfD9Ka=^
z$WB(}WGE2?_j+ZHz9s{<U@;KRBMs`8rfh0#$iVPr%a;kML7MelIVJ}gSW$KFX%tg~
zC+S0td9f4-5D3${lPwFUBSPE``R{P&)5ylDyXvrbTJ1m9WjWvrx)LL3rVh{g1Ov00
zsi06op4K|30O87|)o*F3AjvL~IijWsLH^+d&t52ki<O3mTP_tm{4+qUMhggZ68k?g
z@64&Oh_FXg0|w*HSlOP@f$)t&y>xpO5C}?`$neyFf+x4Wh8gL>h3Kdr`Dh}v>~pZ^
z@ZYJso#+u&Fn~KPHZSv1NU&dfmrtv%23QqTBxLO}g8Y+%ORE>j5UIEBS@fC;Svn;j
zM%WR&$)uM4r>qJxdoAdO=hcB(X}j#=1%RYTn@7tTsz8n3yv{X3flSL9J0?dHX#6)W
z*8E8ooL{lLDpXMe=6m5w61z;nI(n?q;+ZNm#`k{Il-tQ6s=zk*&J^wnA02PpqY8I#
z@Spc-SAvVS&hxs)X3#2V?m2Le3~hho_R~4b!%Mr|VYj<xpu-lPWR^#QD$;I;h)!v+
zJh1EQLcJM$!B4N83M9foKk+hwE;0B%6iAu)Vg}!{li~*0RDj#3pD)!%5Nwj9^I2Y)
z!N=?W-AN5of{b_CV)3`RAxnWN{p3Y6aC;}A&eg5}D_=C(M?N!x+qBhqxuO|d5K&xD
z=a+}Q7qdrO>erEnns0J>gDJFXYDd1elZCcB&$At$O(3@}-<-OGrob5)c5?EDG~nlY
zPl#jrNLD#>Pg0)=Tx|7<=`56l8qcmu<*^}*voibgjE4y%vz)oD?IZ>ed8N+OX%<`i
z*<L(41Tbl)yLm@d1T<NfU#mAQV#y5EO$EmRo|gOUFVhi(cty70fc#a=o`vmXZ~$IF
zp}z-$jBd8~&FA?*g3J4yxatO$uir&59WjR1zxVwZrnq4(g*RbO$tEVNx1RfT!w9;6
zXZd=maX?6GglWNlTNn*Pe?-2x5l~gv^<FPBLxF=rpoQ-i#{4=xsL#R>XpT@*e#sGF
zD9!yx7ta<}DJn;|=b`~Xf^wftB`u`CI+}UFXA`@iY`&cMLLcPRBKE)Cw~69k%AX!e
z-N5=`y~%uD4{GPQSl@kHMo(jd*Q-j_F&0|mTg!TSa3Vpa>i*h1x+vyT&-rEzW75C$
zN#mL>xICT8ICW?mEm+K`OnqC$lB*BaCHConL+K4KpUP1bhTVKIO}~o0wAL}n)7F6!
zFS~xLseZ%|-jlgvvx2qH45x^tYC}6?JoERNHZ+`qIW|@=W3MN(uRmGa;p3%g1vZ7Z
z=&=T|$<uln`*iwXH`j43xcE3HQnNY-+efzgl}%X2j@Z;ovbSpjd*)Btq05cfqQ0N%
z@yR7Dn1*iI&s-Da&v`lu2DM`biZOPpYfD%}cESLA&CZ>@(-Js+`8&qm(51FVcNr^r
znST`5(tse{lm1aFKQYO&3(|zVWh~0O;Gow_DwHi~3db}2!VF(=Hx3!BU~*?i4E|_S
z;e3~E=*^K)Ot<C7;k=!G%RH-k)!(WEt>^K7q~hP0bz|GC$@(hR^4VlUVUId!j*X3J
zyH8=Y*AG71kX^^j#@S|SIw|nk_i02S=U?oibb_r<_y+c#*a4#_C}3AE6X5ANi-oRv
zl-}Ul!fHMygZ82t?6>NRmu;NGv>n%}9bMa4t}$i3TwV<<*<BosH5affOO5wJe`xUP
z8A9c5H&s{}-1k%a<v;9Dz*X%;HagsHx7qXM3^MF5n=HSwcL`(Si7jujrpNi;5o?Bq
zNI;PtZ;x47#)^%DGsvY3xKZW%EhRM)=tR&DH#Dwdx7k_htaTajp$;hlx)>rXy!n~?
z?bSMVF!c+K<RlY5!FT>)`Jf6!X>XNWXx_x6XK0=OePF@6-!`4Pzgq>;Uno9nVWz>G
zq|UjY{l<p>s$bz&D&O&qt@2B_87)o{tgA^E<iw@<b|ud#D?{47^>&AJIy{}gMHt<~
zjmPt`1w4MN1mn-6wS%}A@Ix$%AA56o@JC;-ZK`Q2fhl8Ss&N4U_w4rkTPDGW`*9yn
zyV<M=L?d@c22UoO(<||U;5&X?z0gaM>#QOSjvdAJSg_#l2bR&7XhB>%r}3w@ydpgN
z;~IxKvElm%_sSQY6~>o-U-9YttpKFzf&_<q9QaW-VpDYDE_@;4cAy%j0FLu95zLI-
zctfUkv{<(oF74od{KI1f7`ATpx#P-%k2nTWmhB~R14BOBvS$iVDf4XBtBn^=2viRi
zp^?Uw{VmvIS`<Jclk;EJNq&6Kix%s`Kp8wL%$e;3ry^Vm7XpfeAl~gqe(-lw7Ei~w
zXe5IafmX4Nc4AcszuHcqq&$+xRTqrB<>{1QKLNZ<*F|tA(V{Bn<BIq=-kX|Qs|3=0
z`^WTT#c*-1+k3k7mGS7Rf?i6MGL-IZN)|gSfje~kd`^-h;s-l~#kHqZ;QMs3V_uLH
z{#fb?d-g6e9#?lKP5U$n-tXDt>w`<<mOa+aT7qi$%(bjbuPLf9Pj-?j5tqdcZuY)Z
zjiuoIeA#`23KW>j+H3jbnj9|X+`jlVSREheFh3pdsSdd01*61GdEEEARPH-xDlX)C
z=Y+}*mlp=&-T8wRaoMu@4hu02yu|0?rHzxC@SA_#<K|x_yj#irQRHh4{8NjlBb}-?
zj61CJeRNU5b^RX*cPVJ%GcoaJ{ls;F|9e84$SWe=yC?C#dPhxMs+4<CmaGq-xVqfR
zW=OcDRFmPnp(ZXMpSu6Ny&-If?N?`{QN@quga?LnYT#zx)4mp$jiE19_~fNtRh&R3
zQ>nrl_)Uh%qC@)tUS1z~sd-Kf7k)5GZeph5<;e^#V%8>5n)P0dw?PdLJrJ>a<p~9M
z>bMX8_rAcr9dl9jYPhn@Q{QEARXp+3&2QWDrtmKY-P-G~hToC5uAoM$;Qu5$WQ%W@
z!L1LrgX14m@yW9}UdhD@xb5o}vcRetNG72JkK4%jvSFcv5-x)a+|HX4(=i9trsw)L
zcSyKhO4+Pxk2sz?k@GUl(i|?22&7u?BI2#?b>r&~1o6cOEi|6$=I~WZZfwzC8GmT)
zYOG4&#uJ?5vWu3@K<&;L_k~<Vd^mBJ_lP?K&fJhk=Fc^Q7^6K)!|&vAIc1wVZ0E1g
zH26lw>zD!W$x{YlZL+xVc411@=2vXpY`!pfCs(k>q;$xPO5>&(Lz;HHztB?}%HTOe
zQz#2@30tR=!Y`7WUUQTGp{^@@zd0**eAa7T=J|0kJo!i6f9AV4P)GkveuJtBjK}S(
z3Yrtf?=1(&h>FlcwP4(~XfeQf8u6D?<pMb4QxeA)WqQCDInW0MfS%AmO51Z@yz#`x
zk*kpmkf_hf_Rt=|Pm%K7?>o70L;LoMG)n>~o9zT}4`ZNnwhVY%%Zh(fF<2ANB|zXS
zGpoD7M({<)N_I$|5tnNc+&fl60Ffpwy1M&@P!;v!lg0)up7zqz_1zT$5VLJI@*54n
zJN6KZc<2UZOSk^_w<=+0Pby&*Yx<D!IyS@e!y+bcKi^#1!~oX{{Cb>q^}%IBaH;S1
z45s(MHEi`b17tJGuKWqpg9sTC=ZB#YY~{?KBR#YXaEP{bc<{3>Ji7XYJMcvp7FVJc
z#!*5KB_qrmB@((&^i&`5KCQqW*c)4fp4^!Ocb7-kMV%dHJnvYSsz<%n^_xk$^q^b+
z{@6;7Hax$2kirDrC>4vhxgkdnYuA0YtBtimY@D7l)G~xlGNc{<Nur0u$Dw&`#af{C
z;CUx^z&KiHUK2fdfF87H_x955(t<N*Kesn!{y`DmQstKS>48i9z?9fcO|V)U{h?Md
zi%NA1a=NzZ!K-cQ(JHehtZ*c4Nbcl{O+ALbg*XPF>+$pmjnjZpJwD1VxkXf4`mr{V
zN&sFqJ=0`X4WN&j6h=nN$ZIO0K8uDC=<Rh{Nw=xsDsl1<z3nP`m6Kh778v268M)e8
zf(maIdwBM^ucO1ea^+vKF~c8go4NUC>hN4I?y~RsO?0*MSzL%U3v{{9vQx~};S&qT
zzo7JOwAh=RxA!G0C<&GhiVRS|w9Q+DVUh+Go+Uh#vSf#IKPFGMg;JpXpTa|1emWpV
z)93DH;e<<id#0nLDDX6=IvCl}Lrl%$3ClGua9x`c{d!vs^wM3w%spU$2>+2@8ZI6v
zQ2nuxIHL+I^1?%5^o-DNpQQTHfEQfj7Bv=}Rl(I;_WgDg6EIrZ-ci2F2T^gKM7o-G
zcpV>|o+-%!MJ`GiGk^F2yBN!@Z%2kF58ZTQ`&fbN`sCM@bAn)EdjmNRl3*pUVPNA8
zJ6xaP%pyw)L(bln(R-03IHY^o*S3KZl<FG-&Q6QKluYS`mzpGCJ9o-%B7__AgwBfG
z9TJ6)%jpM;)`_rW!BHRhm<Pi5ZrEyWii6`lG}q8W1TA!{;`BT(Y>5ple3g=dx-&YX
zRV_s5`CAft`XE1~?CqE7ah3+w7X$8TgG3l3zf_!S69Cc(JpPm?1Lyx9S@^|60uNNt
z?|eoGrlvJ(Ef{wEOzrFW8z)JSdg7GS3po+ERNhhMbWt8EHy`|)8zzBFHn-NR^<8jJ
zUhakNmI62lN*(=?K!&nkD-#dq#K17hXG$$a3GQbyRUA913IW2Nq)mb(WJk2fT4|`j
zf99tfdV<v;_soF8`wS^azTkR6_B#>W_SNUsds5)S{Rb9nwbEcqtYm)@Mh4A2sqH!{
z>hP9f+49qZ3`F+n2`>w&LDboK+@GHc-y_=?GF9bZrN85Ck}U;PBXmA2$!Nekjqf%q
ze)6FIpr&1lMjhz9N>80}(gZ$v{_m%sE5MN98w1b#>d;2?YgBrs1>($c;r`Q#JHAS-
zcjKi(kBjGEpP~+oA2$3HC#eivufDDJdQ#!A?hg)qOcy>s>m&eD0XcQ<q{%2M<Pf^5
zpZn?qwVmUNpE(iUCcEgQ`B0%s?RC|EDu$pGKw^tkAc1qMkkd;cD!618hKNrZf#~wL
zlPvut;LE!-m>ILf<G&6;iVqRQ3F&eO9U;SQhxyErG79*cX2u=N2B5hTaF({14Du2Y
z!Cp3MkX5l>H{)Ug4`$O@hs((D{i^xxyI)DrnHa&By}jd87s?lTFOxywONamqoeJzF
zk9t~OH3jb}9`8_EGAsyvYoOm&fZe6XbI(qgLIGPvW|1Wc%1&k)t_;fpfrI{byowq0
z#*B>LcO-&UOIR4;vlP6RdXh70X$CiZHKe@MR6uQ$Hp((X6rP4tlkZ!YL7G`i<Ldz>
z5TrdI_KqM37<JDk?~Xqn)BpTO!dDSkTg~4j&T|82lM5yHuPNwj+>Qtsk%xz&ft@9j
z%y97V-Tti{Q#d4^xOca$9E_encKth<7VwSzX+L(GLhA3kNg?Gj5F*BSo6dC+)iZ_j
zrwo`ttpAyhzeJ@Wd%jirT;M2bkX2$>@Hc_Fq#KX5#U!C=?yT=4LLIU*3d)e#1jvh^
znhZ;bLB;Q`bFs2**wf5P<LqkyrXF*g!+S)4I>3Hq(|Q<7$*WGX<Od+A_n7_56a=o=
zrl5HB39OrswS3YPfrI^h$y#ZCaJsL3TpXXqoK+o<3ws*FE3NW5r5+w|Wjgo7T5A?-
zJZ!zB6K4dr^tT3;BDuhpegBaAms!l_gFlRv8G`@G+=tOG*??)7PYJcmVs|H=H69+_
z@yc5FeS&+KL9csQO!(L==A(9?>%N2m+zfdiWT{Dj%R}b27wu=TXqSNOV0V3Rh|_S$
zx<CiEEU^Ny0n->)bPaF$BRvp1ymy(4nFcJfMtOp*r?4Z9$_?AIx^QCIgP7g0j<}l#
zPrjp_!0ryr^l+Hz!jW)+%d}g|h&k{BeQ3!TCcAW-a5G&8ddqw_8%qBnFLAExm4`<#
ze)6!N-m*4SZ*>3aYo0@k{(tN)i49{s{UZXO4rxQHXCdYF{lCbP%Jn9E;U^aREyk7x
z(}L?P+%07DN%Z+>$mRUmA6Q5KrL00_El|;U;dvl#3?=cdmrZE*V2X3cEE3Z+0b<@K
z^4tGHeqMgP^B+601*po2VbcW8=Oiu0<Utg3eC}abK^vCHd?4gRlm-mCiI%<z=tIf3
z1Pk}3H)91F3P;&Csc^aiOK%A3L5RM%m;UTW%<6ECfa7H<Y<$n}%I5oqM!hOM4}Gr3
zSopPR<Tlko>f`8KtU){a`*bqGkAh)od>pkdQR+a?{eUr`>?<0Ozsb{{U5V*_WosW|
zRR`^5?<b+vUl1u@?Dy8^=NQ-4&MQi#fJjPV-T8ozh`~VBI9)Rz8=$!FzaUQm%K@u<
zZdfDwuKh4%v^NE-ds@i%)K3jw6JKG;$@OS3)6wYVgcXXgy<4<DO%=L&H@DAxt3@?G
zeTe?FcaVn1^xvl+$Pgv*x_9<6j_%a1X@{=nq6_0f>zNxQXrXM%|DAn@u3R{K-S2V<
z67y~~S=J^&Xb7EUSHxRnq@A9*(D?!>e@?x8?*b91!abXUsc(>g&F^*Pj#o%8!6)gz
z8Wm75sJwVw<_!Y6mo~;9s}Y&WFLW0{1%wnQpYPrE25n^hJnU8f7DcgHIaM7{27En?
z>D#$C=)r$~q{}97WNcGR;Vs<pL<2ujd*WNPwD!%^n!X+t6$y$lZ!5y5VzYi`y>}>D
z)M-3ds}aps&PZH#Q3StVHx~smFcdj)J>ys02PEXCsBZH{0bFf(?Zt|4<Z`0r`ytxT
z$ns&0-ce}<5TfEzu1{*w_QlAtYsF1yx~h*O<GMVo6^c#E|ENQ)$L@OBUHghk>H7kI
zF3UmRb#^*}b^|(H5O8V3p$*-8#3RP<B?k$-&wA8$_Okvrv%QqifkdQfUP}(hLc^~5
z%GgUEP}NLS5yMa?`q?D3GT|f($vk|g@1FjIl>SpGmYwWE*JkeDaOsc%Sw6#|d$+zI
z<9*(iPZYkRhJ0fS_X9HU;NO*>kxR{}T5*QqL*@@u66h`2-z5!qVlR|3>~BSNGX_Mx
z0|O`*EjTr}NdwnKI=bFZZRl#Zfy&#WL3E|A>?ZARDY!Y5TNiYu11WG$%#GR&BUQJ6
zmFV+QAo*rr`j){rG+ReKQ7k)xXvSEt7&1!1?x%;nNJiagMBQ;lM0pJ9hlTMQYD&Vn
zmwf>y=f5L<`R_NrpZJX&p8n1=@RR^;#WEM!$sdR&Ad{ImIEiLMy?jrliUYNa$;LZ(
z0HqxrWguivqm=28@K>#3F#8~Z>vj7e8mIXh&gVFbBK`&+k>wGC#g28Fw_(HR&_F&2
z6XucRH}2?4XHk%-^>FTV8bLK5?mM`RETHsPMSRhZcEPiwp5@}l#?bkkT3-E?MHJH)
zrtxT51a3J*ZtN@ijU@lvWO`_^g1!VDtFg2f0hyrR^lwR1sAiXVI<adFu^N8OfAK;X
znw128MJ`Vx*Q;(6?Pr_Fj^B2Vj)*Wcsqo!1zBY>vR8gDH`Ov_54#%su*M#7)@DYMO
z%p=;8MW@FkI@moYWpQ&`5Y$f{O-oVwhkU{Yj^mOHP^qPH^i8-RobMPvR$;M(l6HBH
znprWzf|9|hW)?xPzju8j|KSSC+}Qqcu#6eLv#~v1%Mt*d1nqftqje-{9Dnt>I~$C-
zX3;i*06Z#csj!yaLcRf$Yt>GiP<G?jkjflCm~SuP^-pPF#Uzjq+PJ|&Nx=7F89&G;
z`<uH4)4@;v_A-xrUSOP8wJ3_?hubQZmM%dIaNtXqk>3-3;J-&%KXQ&As`;l3qzf70
zi5ge8_mm(kz4<mF6UGnM3i%zc3bTOwz=P)7r$j)Zn=j--AwRh4+D~*ev%#tJnM;-m
zVlYu(bW~=IA0FMdntk8Q2?AyItTQA@7}<4rw|AHT+|7EzQ?rw^m87$l96=h`Pd{^V
zG!O*1^&?MwloyUVPinIB$%51JN&9sq1O%!NU;QLMSl>CSdV*UXikD>!I`0bu=TL@`
zjhqm)1fMv2SWglD2LJ&7{|uLTG!$GIhY^yUvG2po7;BapyP4M-Dn*i%qR5)01t~((
zB9XKplr=>N+2SP>DcLG2lF(-R5+(7?zxUj8&%O8D`#is2#!<!fobECZVi>YVDoq;P
zzjj~0dr1v;By-GMzbXeZTX$CeX3D`s;-x`*K20$E?`T4fry>+&SXY0fD8kB=yi{X}
zHcUS!{#X}8gcBSFH|S&{<owv^dAnK%Y+OpJ3ofd_0rJw5JN?SwHd56yt)K_qT#dh0
z<tb2bGB&g!n*{0RmqT<C^x<8HtMCI|HCTG?x6m0&fvLR6;N~$JXjzH}<n(Dmjd1GG
z$uKHhKM?rrHrW6s{bmId&g#IUMVd<DadilL@$G21i6MwM${B^s>Ott1)1IbBG~w5D
zjh&Q$5u|kRwQkCzLxG!U+|Iq)u=n<Ho`$nVQ0!?Mb^V4B1k|z@m5Av;Y=-l+T#6CQ
zZ+zs<Y%qm9Px~EJ!#ZHJd7#2w+6XKM&t|JGFkprf`etLCF6?)^zt)>z2=k$`R~AGq
z;5z+_jQww2s5_X|Vtk4YJ423MAg5XaN`2lrO4Eb?EC(m3Ui#1y`ESpKFIJ#mAh@<h
zPY-y<+t$m!)&ZUG^SV+THt;d{%a$k8x^TKuD~|kE19-xx)-n5RfLm~Q?zz7%FcuWc
znpVi5<n%1y;dWbC^RE7-Uy%;f==al;d6dA$mhw&Tf-UU0I_UJ>dp)#pzxwvHMGP9n
z+Z(B2wqReFTW3$wg7`_7zfZWhz>~MUCV*-SUqXdw&H3tZ?#iLQtdv1!-z9<8yZ3Bh
z!eV{54;vLWthzWS2Q4<GkJ;vn2-!eX*6P+qdouVb{!EFeS&M#PC~$GFHE2!*XP>>Q
z47VJWxw+znF}(5a$@W4kh$lS_7x<_MAKw1r6JI4Db>Z0b=!_*u1_=>fb<4m)sng#J
zCnPY6(qJEBZV99q+x+J|5)fAq)csdg3ay$yD5zhxfQ?rJcLk)0fTqg{&+9a4#8PjY
zx?cdT&UHVf7I<OJ&6q{`XVSRCg4y<AAHcnq$}{BSYoOyvNDqlq1_N{*CcjoQAt;!?
z+-=JrX5vq(?|Rm_!kKPD=VJyamFQ$I@qJ@<ibnOD4@={7QI|^vZ_R<t%i=7fw2A4z
zZKr-xt~5T;3Q)}8GKcE!$av}dBTd=2bKm%SNu%)7X5J1<GpK2F+CJ1i+jNH4v}=$k
zjob@w@K};5`0o7rG^p}-Q{-k>^1dHZsB~2EvCO0iaP78#vZs5sDb&865ZNw;zt`)g
z1#UEfz=-!*Cemv#&D=Rtuu=+nWtvvE*BQg9+`D>L|8imA0ZK{VBPncEH4a_TGlr9*
z1Gh@kd2o9i@#FPADdg#@lc=vWg1P`VuWWWcyzIBC9>F7xsa1E41er##N%@b&brS*H
zpm=kS=niT8cif{dr^gVc<3E;;ItpP@hSO+flQg<3HD{X#8N$0aO;X2mh4FOfwTyL^
zG8h=F(b*+v2!FgS|54IJkaDpzUvyXo=j_Vdw$>WJ`f=~?U!z5l>}5V{n<|UjPK?n<
z0}Vj!0BOAK009Fw2)-5elEWFU<)`;41~BX~Y3;X33{90}d}?gvF?`tl*MDE>AiCxB
zFExE}3{Gl!;$@|P2D`(La8}dd9hdZbg1iLQ+$=uC<En`Kj7k%Wi*(pP{A~J(PZB?Q
z_0-felyIr+{Gvnv9lmMhf8}PE!Y}@|@rv)2aP@k_mQ`muY*#GRE&eBkQY$$GmslcR
zXcc;O%9ajKMuqkkbI4%H#j9(!=_upoQQ7VCHgq_cl{RuySQevr&TSg|tc<BNUkutp
z2b#{1V1ue0CSLWHOUY8fi@AlJOFnd%d2qOu%}ySJ_!VF0?;@dTy?*=F^K_UuFMquf
zqJRS?SxrhZWNZjOrv9Ur4y}9IKTO?LL}EY<q5KUQ=exIe8T_V0X!!W6?jR+!d9CYG
zkwU>d`=Q!X)&@{{eCnea9})d_c)!=MQAP7^M(0G90TiB~k&N!K&hvBlRsXaqIvkvm
z@>y#LI*mnZVm2zHUe7{`{6#7@8}j$uKV=9`hdAG7d{f5Ph6b%n2{jDf6ER6)H-dA^
z?Gb%vRj?w>wS9Y{8jk&w%^FWO0;X)RfVlz*ld8H_BEG62x9HW0bPZ#8fBcAaQz;4e
z?)%d^rKXO#wy|GRx{YD2twWQn0T~lRzPzw?P{-0`l3>XR6HxP<&R!`eV`@Gx+wBeN
zSd}OJ(qEnRUv7>w1eGW#+xp;ikD@xZRo~e2{hcW=R`R3RqA1Aljd*vhM-5+z4>j;7
zngKD&IH0_Pg8YNAam~Bc(DZ}-p9n*97`#Q6H)U7F2S<PPZE2xmFuQ7N_mDX(O#iSI
zP*KGd+j08{PAV=}9&>LBWxxgZ`70dSsyO@T5L*F76^n!n)M?8M2;d?agc4P8cWA7?
zlNJTpo|dtPA7z5m`s*TQ|0wu<YBhOKo{ZK>Au-N_OlWqWFnifd!2>@fk{By0m|C$m
zG+7Kle^_>>N(cq(eDkW_^edyYXwARFx&Zt5^D1lCQE;O=VKY||5hK!~%7|6~>H~GN
zami#1mQt!1Kc$4BY5}}Y>;V>jyzuYmCZnv{Ek|mN0#@q8E}{)Uzi>FO%^?zAHMV~F
zJxLB1zpW#*7y@MZ|M0xkrGhDO<t94kWbpm7u>N!<0Bi0GPiu%OC}X0T$tae>mcdK>
zOm+aG-WikN!^${#sl4ve9|`>PasHEU6%!uIEy+eU5;1VbQt5rTI2s;W@LIc@3Gpg?
zjfYw9Fl0lz$sRQ^6p<R)df+z$hLY%t_uZ9nJ(b(@4=(|ik8(*LO=Q6OVY|-w-HJ$d
zSonQLP83HyTG;+dGeE3Gs#sW90j*$_%)eU%?fP?`-@IcEKJ<rq0)29LU?MA>@2N0)
zd+nBORy7CB;n^FUMY3qy^X6rdyD(P#SJ(2e*bL$q<YyO?W$=_n(#%JKFgkqtZgO7J
z3>bIwd=6cfMq}CJWseadw9D#_)-5#!OIxFVXY!=*&`oBM^J^ho^gdM`p<@acyQ8Q-
zUrC~JOorL@HNyCD!i^+SX#!9B(;QU9B{8?YIzQS#7+pA56q1Zt+!jv$WqMcwPk08b
zmd6NV{it$%XtOa0mfiHz9v8;}ORoJ6W5Q?|{y|E2lQAS%)h@M!h~t*HN1PQqMNn{Q
zJ!Acl5vcKKo97Y4@lRUJtIRPG{Qmaksm?$a&%cV+`n?cCuD`icoTo+6Jo{pZJL{j0
zzP`lBxFv=guX8*mX|p^#o1Lhi!Q!)=ct>-b7;=AbX*o1SKoTd>@2;^SJlVm{wLe-6
zFS?GkUwABr;r0JL6#ifUs!Hb)c$3A@Q90e$DoY&cf#!cP-T*#S%XMw65<{QvNY#YP
z66l~u(v_eYz?HJ5b*<B4IM4o$*F8lNCuNcdp<n2b)O&4K#!MV9C;u+(%9X<T>4OK%
zbLn9B0C#iT6366|=UeC6rE!o<S^L$S4lBueYw02qXrDmq>|K(<&od!?(^_<pn_4tF
zdP4&BgH8_bXUbuz>Sg!d6&gJI^!)T0JxR2eu#G-`RUT&vo({yfG&tC|-dAlz5)+O1
zMehAkK=xmrXO7g-;9`u6j8c{q9=yhVUdK=gtGbS3KmiRFQva-zJ|v9^x<40te=DJ4
z>Re`dCJkPmhz%-plEGs`YwSguiFn{n?fjoxG<bEOrr5_u79UvVe_eA~8Dm{j9hZt}
zpp(1!D8*h5Grsw2o$^w_3{tUvKr0RW4L<qr_K-)1-tX3{1|;<U<z)Qt8x08d8VhC7
z3P|EAX{`_-qfUIo#odZ@Fx#5=M)!dtmUdh}vS*BpjZL=Q3j63FU>?noIHrVRny<Hb
zRZ;N6IS)qTLpl`qjuhHT67gP#)9i!Os@OGY$8|}}0A^}s4t#4M;`8bsH(y&&@sVo*
zSJ4>*_@%zVF~M6I<Apk-*nd&6U)Xlvmo<ivqmc5=hhGJ?E-l{Tzov$3yr#nYQw-rs
z;jS0S6)HF~ari=}k~;Eltz)EU839|k+_Tp%B$QQoJqO9^_$E-^c3{8=f@&PfUd@tF
zf;q!>`=dIx7DufNpEHK6A#JPgajbKCCDxY-XrMuZ^wc416Bz2h8-I+Cg6mv;M5YKD
zxT#?==OvdZBz5H8e|Uz1rd!|hX3VPN?nJ|hR~@GCZAaYtg&!1@Ke&O9>yA3chV|;s
zu=xMNIY712LKQiypAySd)v<BO!N+T(IdE6~zFEk+7dMG*9C5K~c%X=D&WfD@lYNPA
zzZSB1zInF&Z6y^a8QrQ+iW$%wSM^+=S`{Oui&P?8R55nR^n|@N6E-YGeWMqv;(v@t
zo!Bx8u2#FAyWh!#z8BhEDrZ!&&?SjOHlB=s6#8}*%L8<8m#Al2tD;u_jws^|B)nj+
zR;J|uz^#+*ef>KH%kK-EHd|4~fWx&ejsXDg;<#`1MN+UPH;ZzqoQNg$G5sG-0hmtQ
z;G-;(k-E|7fTf=j?mJ~2&mRwPkk;&?<4MMvgNs~uoD`5>MvrIjX@IjItcNFRNvItc
zJe@Hoi;g?S!m~pFO6or+99~O8joLVgOSRIt%ymt+%N0OL?nyrXCKbH<>^a$^OcFOe
zGxFr30Vui@n*X?<j4MYzmb49tBgf5c{U_G}w0nCBt2`xQ-tVt-VWwhO6rXpftBeWn
znl}d}ts&xucI{C2K2dCWrvB-*6%#Zs{4sfIse~URGF$s^i=bn#!?q1C86dUG@{Eq4
zBKBJzqZ0FlF`kWYS;m<GS{u5&|I3p{$`^rF<0>J1;CbYgWRE#S7rH!_-7JR>MO^Na
zq6D!#Y^AGnlR5PM&MJ0VCyRdj{ZIb9C4iSxDf#Ey&EUqiPZGD^N#jf^zV#3g!1=V&
z_Tx-5aPr_OOl*_FaP8J=!!~|QD=L0^w#F3Z>HhEKo=Ku(Is3-)Mt+=-A;z86GX)Nr
zOqd&!K;fn@qGx{cV^)Wr8?n>`6lP^goTMdiarnXup*;flsY6h6Qo{tsO$wJ7e&QHu
z_j7x|9|8R9ZZ+?8-xyp&t8T=;62k?n=NdlEf|zM1d%ttNF+94ES=-<wh83ee)Qc5D
zSdsGXeo3_vfT!8#knaRMF(t;}_Yp>F;HO|m3nSPcdiss<EdoByzUs2bA%gku^;?#@
z4WV@21G!kadX8hugk^;Y8duq*{M%;;_Y$gKJ+dL7L_maOaHuGTJ|I}$UNV4tjw_q5
zni8<rJIPDWih#7i;%B<o4S++kLQix90h5(nPn{r%q2ZnNCs&LNAohJsRFy9Qm&P6m
z?3574bx-{oc73D+<>dY?BCP!o)3@=iO0n*V*C#aZ5^KDMHuP+QfU=?`1Lc~M=n%wz
z#MFWgB!?Q8%hqD3w@ddOI!U3>-F@wee`#=(#PxwvErxN=%;Ha+WAzc)@gBj)H1N)F
z_1<GDjyK*Obyn(;!2#W(y;f&w@IrAqQ?Oqg1zw%&8q|=(puDrkYj&_W{O8GM@zWBx
z?z|td;D$Utr&i7J=+R&=@jP)GQxfI(?jmiHR79$vZPR;k8nniripmy|LVL=HRo*rw
z3_f`!|H~R0Y%-5sYG05-n_f?u4=O~|bD;T7E$f3&j(=73G|LzKQTq%267kNHb7Ix(
zG`KH1JhS(=4659_Q6@a3jF)qCox}+=m?%o9>m|rxE0wAC?y(A1FH~$A)n$1~q|=iR
z<k9vizm{)42@Pd(sndICU=g_X;bNo$CLZbDcRz`Y{X%RB+!-`TuGBrI+pdUJTl>Vc
z!zg%m(^rm96Eu*u>@EvSQo>Q?T+W}nRB?uI*-zSv4nCQKdVd*2{3O7w9b-&I^N?+K
zq{`^f;}Ec7^OJ}-eWndZ_|z~u#Py7zwgDV5-|Sy?R~dJj&BWb$sfM-L&XYq82GA^a
zJJG{a1#jf2zy5Mk9gSN`M*i+Hg!qIYc^+{RO1{(EStO!?Mv;y7k-SF0{om!+25ls4
zdMu`2l%Ro`<KeEu?M4u`oadq*%;H#I@#L#P4eW}URF}SN46Afe(lkE>M}qda2dvRV
zh6cyibDk!U`iJdQKo$kPit3O1vT5Q+)vqTP3{62h(xf3$Q5AcJR?b(w(7*^E4ZS=O
zGjO225Er_nicAa3uyg(z_;*Ro(f6wvWH_=rTYYBbeCq48j6QXIWdF75MV&ds{Plcz
zQJISN4xbD52&m)noCGPy7zPMWF)#GmQ1R-*FXmbqHI%(J6c}y9gx_&7*Kcg1VtEB2
zIA%o^`G;f#x4maV<l?H6paB*0I=tB!ti1nDvS%Tm#m}kg_HYsh74NYxJC6F3QRRzX
zq-!t$+qc&eSISlKWZ37tK{gWJ>=pdBDIMV76-9D4tG_vWZtI&&QpSRpS3L<e08g`C
zlQ>!H{$r0*FOVZ5PxxNyy{7;tdlIx~$rOCMYH~~8TM@T=-7<~q0FZL=8G0H<Mx$>W
zQDyh#u-$l&$FC8fcZB>?sE&l2xY=it6lBnEAh0pGkTpNbk|%6d1%*|%8!xm-qKC!n
zoMDz<4m~KWDpOFw__#~&+;hY+O+NjJ%q{><5A!J(J7rY&J71n%$NJx!lh-6sS$%|0
za;P<gh*9qk7P=Ee@pxzx8-0Wc6q=iXM1~SFUKGpg6boaB|4BEQ{Y=P<Og_bXRS{ck
z{=GW9B#5WBEX}EpFyLZvd;8$3Jf^o?f7Bx?fXVGUqhhu*;F?_e__<SZ$X?(w@ji_Y
zXYbmD&pkDVWU6J76|0ZuYdYo$MDn83Vp<=MkvUYhWWGFACylqBy+4ppyACI3!+wYr
znt^ui3mwiVDJ;JcelXr{9j2W68muN^23ZqVz6$P^#0`EYu9PUQL!XvjE$UfQ=vCgB
z;JRG`jn};Ma4=klM@mY`9g8NAa(;4x8X%6AmL-}Y=hmU_N-X(Kpa~RBl4DP$i{Ux8
zrGp{@ylA5@_fqSVF_e~9hw!j?nB6CWT*!+pxs}+n%NRCq4KLrgiGV*`x*XQt;zR$f
z-9N|P8bRQ_m!}K5L@|Q>x%%B4e$1T7HF~hq2nt4<^Y<MP#bN6Ln*B2Yw5G3H8#ZhR
zMbF4}O;V!xKJ{wPiii-p40+u<;cE!dJ0#C6e-c4wXM&P7Ll|#F#Qa>GHvnt)^|5<e
zMKDLOH7R3_2>utyJg${s0RKI7?J;Z+K^J@R{nKwn&`0Y=(ryI<xY?C(^?Qd14!Ds6
zcQuOQ@?fgs^Ex^tx_siC`@!<fuIoRvDhXKlPere7Hyu|01#cQ4iK0zP?3(^MF>F*5
zIFZFk2dbN#o!Mbg)JpOl@9!1I@6g@(u!07av3G4h_K2cM6X!ttvIGu0ZH)=?rNO7F
z^xkA!0+Qk7S!-h{jP5A=WU4{~RsJ29bh-)XCZ&IGl;w-i(fPnT6Z%k<bXd9~Pz;Ge
zuQn?DkU{a$_dM$>^x@exDzBKFI5Pg!=eq5e!)u_ReEO_D3`E{--}O-(*@En39#6}o
zWyE5jwYNST{Uv07xkdu3vs3wLNs5>`m$lt=lRmh9T+S%TlSDyiy<Cu^gf|;aW@$`)
zm~!h}$Y=FOK@;bN)Hou3IPyzMgrN_o9Y4Emu93#4-9j8%hm>*gSbhFudwp2T$8*7X
zL<W0q4Ve4yQ$hJ%KR4*_*M~~6;Se2ZmM^N~o`2Xy!icn>7a<q*!9M+Jn}Ux#UI|^(
zUb2&n7iq(Lk3P`{wM8)-_7(+{ovmL!v6F(E?TWng_-XKP@ZONRq!L;;4Xt-`Q^hsg
zwJx7OKm*R&g*(FiO4w{HyQk5aiU-OGBw8O0f}g(-K6H(U%=rIQ60Fs*PZDRVoax|P
za9_J>w=%kuDXG&`bv#`?nz~_}4kNs`zATee&|x#De)f_&y7Im}+;qVJj7~q_&poAr
z?PWa^oewpzQ?o81!qN~rEb>PTDoDs{975jasEPHT2m?$$R&Vup-ky1wjGS8=#W`9v
z(Pe93Eq%-guBe~lSX8B8xQBglzn~V%rkEOZJT-<gdCFi%4+T4(dslB$)54Zjg<U08
zCJ^c<;}aUFiqSB%d66~$%V+^%w8#{~bSPqWbE+6YIQ=oPK@*n(_@-Mk&4A1L@j~-n
zD*o7ZX)aAi6Tcj`qFN-H!}y~m$=eU9I4Ut&o*JluraH<8{vKvPpzGrsa^I-<_;FFU
zeuz3+zU`8`X~*(HmHcl$b~QBCNtko7Qp0k|W94VK0EGObQu!9CXqZ`;@!`8F?x)>3
z;p+}?VcPfd_2*P1ymM1L5K6&>EfedBw*fA`%9N0aregSc<$DbuNw_c>y>s7N0O22j
z^4~?N7*j59w$(xf1M7z3f>#0Lvo{7=oL9y8LiSfzvWR$SH*-}%!UBfU1$Rn}Q&4|(
z`R{%XCETq1_Vb{e1<0-nv#qL8aQEEZC*<#PNFwMOM~hiNw3_jgm0e_vb@<1}xhjp*
zX+-jt6@a8%DcX)`68dbkeKEFC68AL6H+Q`Qpm9sP@4TUcUyJkY#s<akhNHtkPAS0p
zhT3$~d&=0}=BG7UB8t*tS@zN40J|=vTwACoVg~noZBK_V_HJF&7cm8h@Gi4bf2o9#
zkIOrK-34(dx$()f872hfr)f)eDx%MtS|N>le0cNf#oy@31goP8sg>LcXr`=DsuQ&i
zzg&HBB=$K2)}=c5)w{|e_3+|@p^mlKw!h+tnjQn999))PK9)gsY5%LI<G4}h{;&Cn
zYvxeQd&8rOA&n*vBF7YSxL7`N?4I~z2DM)%ZU(-SM6UOnPK}FkA<wTalMD|tXsetp
zH&2tmr!PcwuDszy6<631-(m{a4l*r228rX5>?7Ju!<@M1J4c15nkgur4R*e;PYiW;
z@=UB%=0cP9bS1oE0(tF+$b!cSxHzBMsgTZvZP|yCC0320_T?6<*#c3_G3zkz1#Yw>
zoy=_vHijalo0cc%MbP0EnU`B+Ek?|TOR;}40^uX6VsAV|@Y7(ud_Ff1o~zg_F2nKy
z*Wl(h!B4_yFg+2Fq_7U96^6si`wgL1y%<$b3*!b0JEdq>UL2Y#cTL}B2u}2Y7F9!G
z9DDu!#ozmUSgA&R=kdk>68X6b6}W}*gqK~SF;M_Zv==g}_8P$c=aT8}Z-tN$Zrii=
zp&;g1Dy8@Qpo5w$f0lTU5cW^Y6?o_hBiEGgzwszKq}Yi?3jY$qvF3%DL@5yr+Vs0n
zQ-Tfy5uSupqA=z!jK9nk62%if`jrzb{-1vN;DUjNFdlM$XzngaKsK|r-#xa|;AZZQ
zU$P~_sL7G98LuOT>Ze7`C;sU}>8OP+uZRdH6bA+f>=wrZ@xQG{?(2ie48iX6IT5_9
zdqsI7T>`r<yAM?D(}xjbHYgMm#fMrgX&lp%=;m9WJg&&%=c^KF-%3%;ypo*n;3|#h
zygJS-eb$4vExV>1{0P`jFl@clFN1Y)y$x3?^dLK_TId{W9|`o(o+JKpm|CP%v-i9n
zu<yu}-z^}H?D<*&f#M3dQ+i{OYJeUny*}B-wJMHJN`&;&-YVj~*`clN+w~w(LQ$cC
zOA;S^7<#*XPzg1J9=d34)`Mc=<n}zG6jrrKl^^LLqRE!9()~_)Fmv(unKoxu@5o;l
zI@70&kts{7ar^Z^&-K{hr5iHXx2e3md_)DIbeD7O89i88LslOBDT@|1J0~@Nl5lBT
z@=N1tJ-9*RqdnUvkH&K59QLf-EfaKblJQ3meB?X@(?2U<ZyLv<BUKfHF0uPAIqJhC
zvzs(#%6h^I>NsFU#Z>tXZxU+sfhQ+rK}>*^M-}QPD%{mjoSHf~Xg~wOfy3>QpNUw|
zH?(EWR~=i@2aR((Y4Dine_$&r<NjasB|SbGsKT)OVS1Df52iXwys}hq%L(p~x0^N5
z%1W;?R^I?tRT4P_Pm(Zryh~?FN(-Bdugo{BHH5$SU!1gXCF7i18}o9L7P=QM5W;2*
zLAU(;juR}tH7&c}C7NiXM3&<lzb{5`$obIDfjJ5u{T?;v7^96l$l<@dW{jadVfLEJ
zJyo=591Dv{(#HKVMR%>(OyOweq7$zZ6_2Gd1O0bvqyN*1Z+xtLsHaidra3~zyT0Xp
zXC}39C8=rrm%2H;e<tC-$4Lzj${B^FYir@_v?}v*BL;{b^lBT*RYOOYiH#EaEWZ%m
zC6=;!#J8W!oTxrE<ZgUDX7EQH^F%4j=Ar;4Ra;H|eNe+MhKXLQ32NxSIV)W(62N1A
zJr9428ZJEFIR52}Dk|N3IJd2z#b=?RuIOkr+_6`AWCzQWvThM(f-KI5{U_wHLsAWc
zljj`AwvcdnxvP!W$pZcd0096043~E})qfPn?Y;Nj`*N>)?Rn2dQWRw*S{gKEL}Zjv
zGRlt<Em;jpB&5XmSSeIW5=D`SvPVMv{Cl3~bDr~gKkw(9_p3$K(62063r}~boQgZH
zf|?g91KtHO;P$I4Y!zQMG3e`E&AN0YbhqPhxgEoR=Ccv1-jbRq+uC??F;N~h);q8V
zL^B{`+A<SNH1Iub8|8(f41V%ZF3CO20MpU)XZP8u<B2zk^NRBlsGHL7#pA#LjZ*!Q
zAzL*h4wZiEmlVSzp=P3GQVduu<C5z!S49Iaq13!&VVrq3H2Sy?z*PAbA2(SAH?MSz
zncovYzPSP^#Tx(y7{lmNR>qGnvvafhd64tsc-_~n06F0owrj{JVRoNtynYQQN{5-$
zl&}G?SlWxE8Y<x1XWKr@P}y;&^PQHwFC7Bi=Ay?o$l<#`<_#=VR(x%#ITl@O4Hs+A
zJ6DIvpsnJ|o9jxLad3;QWTu!kR5^yLnKeq`)vt%$zT9NO3RBlj0*9?&y;M-kL$V}Z
zD-7q5?OP?HZ?i~I(Gmncg?vqXDvmx{x(~ZatHhgI|B_cEEn!=3+PUZhV#o_N2|M{$
zi5K!Gi;ROT;DT?H#66lQMs~|)Jvz2Z>|XIm^LuL!h7lhf?kS02WRpmwhddL$RZnL7
zOEHHp9qUFL$iis8>+7ylWlUJ0H>PQP*$lRBh&j9LEriw^1Qe!@Gh?o)Sg8B5DWteK
z#cbLvh$7Dus_(n7;H7UBil+~n!t%=TzD0Qfv>m)%-sr-Lm0vFly#HhZTmMS@*{jBn
zsbBJY_a0-zkc4Bcew$2ya8hj>+r@`<60at&7qDZ-@A0^8FO1>ZA@@xRt-QE$pi$Lx
zjswGdi~Xu>jbX*yH!jbY7f(F(NjKTeg$=Ie$@xu2U{x#8xSPU@>+O3+!Uwpqp12TZ
z<YWX_Qtl*1sPf`q>HLYGr+M+`waApzE<<P$st@yF@FL~Dc3{0JKN|I(Fz@y=gg>+H
z0?i4$Xt*xp@O=S6T$f|Fk@3#}yfe(bi|5w*<dd>r#|Yt>7&FDyOamZ)vQhL&;zP}K
z95;qjgz^3fYcV%d1F(7Oe<pk#Ki=45HrZP!f~TF5=TiD;ut!YvT&IQr`n6=+uXc;#
zB3t=Q)?^xtQ|b<9kp(fWVnOz<f;gr;QGBXoO@r@?;FC@kLYnS(C!=r)^mlz%vU7n7
zv=`;%<ZdBMmDuja_Dd2gS+6{@e@2DWaEl!`vxL#{;d0r|5NTW&{pfRKJQbF?IlkB)
z6~P~;ltzz8%cAF(xPw*OsL;R=)8cX$#hJ)02em)Rp`=Z3dy63zeq@xoM!1S$^@>Eb
zW0?Zx^6FLR$Wh^%&#er-gW_l)uS61eQ^K5|U(ebKQQ<{$&~pAI39O^Hs<rP>#<I`p
znmudv4kevGjvpnl%Hgr@Y>)~*4qf6ZRHOoLb>8-)`qHR#a^Iz=8LCKQd+H-(O$AO3
zy+qMG8H^nes{Y)dhE(EV-1%cv;HHjUU?Iuj#pdOk(M#&s&$Dgs^%5!wSlJC-Zjna^
zpM#Mi=9=gi^Zk4eI}KJgChOlmt%&;zJA_RlwQxuL^W6488qoN&5={z}u&tC7kyE3M
zH@Z11$7X5JhSNDFY08+`#xch9R|oetR|g*Z&j2c~eZ8Q3Rt3$!e>%LRsf%&HUI>}2
zGlZtJjY3UPs(5|ZrRQq4dYE2qV)R7R2w0jV^?bwBkY1KoEM-H+F7n9x@+Bi!(Yx@a
zJWw5jk1lr?%2JT;USziFvN04TAHURkKm&uu_!FrwD9Hb)W%`eZDRc-mS(vzJqN8q7
zAhVo48o#>ujM>TzGWPA4;MLVamX-9QOosY6Q|h<AGsGO~pWpUpnbkr#RZh{;)JL`#
z{`s$-SODv994*b$#)NEYw)77QTJ-Tai!NJ&iOIV(r0L)zsU4-Z+7vu(Z70ZNVGYAA
z7oyB>>EO$p1$|*zGKyA8Z+1IM2RSLFpC7*KV5@(nYizA9e$V(EF<=W|)|%=@|EGg0
zjApX~vLx(&9_>|E4{(#b9JYT%2Wi5Y8k|<zc-oXf-A7@-BX{8!SMRR%DKY3tplafb
z9lxSR0t1ZYk|iolbx=OMI`bQsIu?wZZSZ)>0H&0Be!g4Um{fd4yS76GcgKDFYBSA%
z#<zio9Qw2{@7v7}Zh1=BdSmAuGj<!O4>7ehUD8C30R_844tacUub^;*#RmKuPv}N3
zY2dkJpB<(g(iq9p$yW1=0Vb+K_pE=Y<H=c_Hz6M4Xui@kk>0=nf&IQW+iKPD08q@6
z*hKK)!5FEG6b9ImhctIyRK@q-)tU&301ovWqeX6Dz&pC1*vsuID8-VvlA_Lyk7vs!
zhL!;s9QXfj(@;hu^V*`aAvUa;OF3jw2!KWgmhMxE$h_x!I@2L$)cnpHaoGg`6fzAM
zh4Q#rl=S40#Xn;Dt|ujUgbrmhLGzDK$s+z7RvsN*Af|Ip7Fv<%@baLi-KoRUXp{B&
zSM8%YqF(5LLua5h?0Rj|#T_Y$vB&AY)DtrVv&@d6e-&0Be!Z3J?jvzL@+nonhj*Ij
z=L@>Zx#ow%AN1Cz@`+*ZDdi&^o>RnLTAux&oh3}N@qAFbAc6t^SqS-9OcA$~wmi2;
zvjAk@K$kWU#_lohdYc<l1m}hyo>BegU=z3cT6;+lO^%l9;{IvE>m673xRE(bZ#A4O
z|HzL?oa)DuV`qr3#!Svt7tJ7)t$nz4ZLb>q_86=hnkDpt^JB(-nS$s0JX-;G9*omB
zX$U?$PxOhZ3uSCF1@-KC%ETlWZmZLIaNm7_SXPUxD}HPO;S<Jtx|=w0a<V<5&SjDC
zNmbuRQ!oK`?>j|~?HuUwpT`xGpk?BtT4k!-1!M57XtkZ-<G|?s>unA`Ss`d~wS~S+
z#-LIjbN*f!JG#F1tj$ejLX!<e>-ocsAbI+ddA<-k_MOo?#?#4+i#$^dp;<%du<~a1
ze$R$S1s^=Sr^|}E{ECUeCk#PB%4#I1nhlScOkrgv8^-bkf2033fS2oX<Fi}Xa4!E~
z;1@{_yl&8t9v5o>gNJsRcKu^RinZ6AQVAz6+>@iZ3K@X<o(gp>H+B@>JpQ0>H#d$%
zy!LO&qd}!6iNCpx9fwy_Ha^wm#W8_dL4I=@q$r65fFB2TwKSg2km5%$TNZctNCojU
z2bB=jHGRUf@1|)8Vnx6XfyXDQuq5w&IFp$R4+neutv(P!XBq8VX$n*@XFXA^$-<4E
zf&3M^pM|mXXMl@Qt3LeEYiFKP=fQm}Wsy0GqImoHxvbSFeJCGw^kehq#WMjzJ;sq@
zn4m35*>9o`(w}$xlz-;Ku&axA-c5_+!-eZxx+W+vE4tcnF+c!Gvs(4eXC*Q2+Q8$Z
zXDIM_>*iV=Ng*7k1sBB_N#j_*!}N+W1<Xu)YfteCBd0@Rf(*MXMh&MA!$&e04K(Ii
zNr>PqHK66joE+Y}UR17iiwx5l4QjEbqIh@qr#FL35q%0uL+7K(kVQ5(@dy^f*W()$
ze`hNpQ^2*I=3!*0deq`j-7JnPr~VQyt;%?_Ey}<90vRmSFU4mXOQJH%YN-IXDrQ>^
z&I&e=;j}O<G#{nVt%v3Kp>1l|mi}{7fGh<@xp=}{ePu8}E}EC4LLI~Q6*zynMuA^P
zXLmo>ltZf7&i@(}HPK9J|HW#RHQjz5VGCwcz=w58z8RObFx4m6=S8YM)G}K{`7SA<
z!cC#`PJ%l4Nx$B;Qi2NlXQyhs*p<;l<9KdJ5($sYp6<B%lnP9IF2jVR3JU%6{i3(3
zi)9l9iHuV;2qdNiKhspPV0Vcc&jB({C5P+~_A&tUkh(kPs)igFPZW!kQSbv<hPipW
zA;^~OSGsai9XWe)l#U<M$J%sv!X(@X;#v>w4!Wv=P0rz)j*jSKhgq;Q_Y-3X=km%q
zTCR!xn@cBl*;Daag8k*ALZ)ziU!(1<dMzxoA`0(CQE_v2F8kmaGq8%5dlIpBcgw!U
zO=u)i(ecEzsS1k)goYizvwBkpgSe9h>-JI6C16}gAjJ~!n80b~og}PCOmAW1p`w(d
zZ`#6Ie*Va~Ado&o!YIR=dmfz9$L$}MO?lJl@Oq;j&oOUZbX3(pqv20MiS6A{^AP}l
zGM2$VRTp1RO?1CJr-xfub-Z87Ga$gDgtU^Zi$>tm&9;ez1!mU{Bo#7%@`NS9&si4>
z_Pw$&@6f^`-|ed#WNlz;9%C1G4+(Qhd#YB+8mQda;I%Kn1`6GF`|c!@u&TJy08&7$
zzi!V-Rb-nzzoYoB4Oq{a&bGVg;NXRYZ_D*c*jKBRf2z&~Zdn#R3t6v?Iw*ejvD2Dw
zy}UXD2^-jHC2f=;t%WGw{z&P7B+eL?7upxtK+XApDZ{rKxL?jfLtsP%$8P^h@(H$q
zBiyy_*8<dWH@v+0<~=`daf(QY*SCSNQQ7T1>}uG4=TNF^F9%+(bA1#3l>v-<9^ay_
zs9@Jn$q(*XCUkzY@m@z915WPzsYusW#>}eFU|-n<!keb9UZ=zW-R39%FhLOycwW|X
zr%n>DZP@GPs{kH{PDvSkl*6`bUhWV7d?)Odj33|K4DcjA@0r;;8Pv^{X>pbBB;dv3
z7l~#%jDGw$Vb&vwN~Q|Gm4DX|14|3Jom1A(Y*$0;%@W6U$+woDJ#WxiPn~n!t7r`|
zeSZRM;zY6IiOqJUv>Li~*q&X>E>=(#HNs23CX7bYY5(Nq8tL+et@FncEMeD>v!Z#m
zAnujkd(@z!k?z3#VOqOkje}}q`irvoaN(xn!G+8^I(ud2js0vEFv&gCb^aAMY8lBF
z-?w@~|DKb6MAOk6mQ=r4J>0;Fm~&LJ``2}P((z4Vdos<y<u=EL{bKBxl;|a5Id+fm
ze17Q0ub-wM_2Bkso*FCa96Na=PP&eG`XJ39n{En`qbz!MA<WqMuaFs=+K9xS#6*Yd
zCeW@`lcdYcgn01m>4&F35Fd{pu&rJ)28g7EcAWc1R0cEuJlfVnJZYdvyxL<7riYoj
z(*2hRU%t%`NjJX{`;ua&*0&g~=|iNwFa1k=oZR^*_uF@3+1(~t*whG4aIl%gty>_j
z3ZzV$QHF`(UCHNJiwuF|F1yAy^*@BeZlk`I#8E=K{H*_~q9H7X8lQN%VV>Z5pdh_C
zJw^l%O@xhJH2}$|@D}OfIbwfR^w!`flY~PI<#4g20Z=}5U3J|!M-<d9Z3>Q=CZx+d
zeGISCpuJ|b)mnazNWarBS>!cKWR+Lc`76-iaYbnFPL(-=SyfY{+<u<udX}c)e3uHc
zWlBmvJm!djVUN+&4GToXK+?%p11i*a89Xnmnj`3cUc_ASTO?we(gb=N^r7vv^LP8T
z_ue!AW<qZ-6Fc|6T{^REtsZ+O<@w4y(e~;Jw=vf$QCYUTEufbIFGlcBeg7ZgI^ESW
ztAz<?&c{fKh*DsNS6ek}Vu8@*6n!M9&4Se-)h$cTWKh0ZzmZLQkvM$js!eJhD{7@%
z4LV=egZBGBB0W-<h!+XG@3)(?W0{=w9_w$q@N#JneXrU-;@&Tx4ZmhM@M6|zI;Wv7
zIEu#_Mvtx#`~k%emfv%sm$LrSN-7D0;>+6^K}<MAyzfi+%!BpkDsnH*>VUucnCoy7
zGoF_lC~Xnu#|=a7G8TJvpg6WaT(OP?p=Y(q;glfeu~{?jb!&sd3rkx$Nj4OI!F2lv
zpD-3q8^6u=)&?d09}-(r*|FQZ$gAX(2$nlg21G`*z!0*|pVZ|<#fG?kb#5`_U1iNA
z#c9FgcZ&}3Q(UN>abtzOS{zNjcf4^VX@SbG<M^<j2k&kaKP!7l5*al%26Epup?qlH
zBR?j744Sn%YH(Q^Wtdw}UwNPjd5Mz3u3H2#vgGUtXPqpnW6G*<k|rEJFO;D0TL|~Y
zJnT}FQ$W&|4?J6<H9;&tbvfQi1V0_#PVRSALW!Dasnirrc-9<L{kByU4Vyg6UzI7N
z{<*3<7ppXZG%J!Ya6}x7LMWv+BvstJEwJr2hZeYeNc#~<mPF^RSt2GiYUu6v^<Hy?
z7C0Ez&=ka_adTMa*n2+>Oc4g@^YYrTpwsnVzmhEGo29`zZ7rN1j+2#`)`mkj4Lx19
z$|GOX^{CJlZREHkFRsNz0%JwrKJ7w9lpB;;E*~J_F#YF5$7Wq<${$}66j4Uch`q18
z-s+)~PGz^_4?W0hS-;6{j|%SG?sqA;nu4F=R^Oa#p#WEkpeJjMDo#co8Lxc3#%tnR
z9B3?5DE-ZFl2lhm;hM{QCrYVU_3L6nog)qGEIP#`FKeK*F>rcD(Qs~r*Xv8Y0r0ne
zTVk+j;n{!1wFx=~XxBxOy6tNORS`F54*P2(3(({l#ReEPdv@ltfeCD4>9qRyN(T?A
z-nR-}G{9WJ#?RZ;%z*TLqF#+(7i%8g34Xw7h$mj%aVjTUz}yv&85KP}eE(=ep?I4C
z%J^wMA=z6&%$1U|4+><|sgwzR$uPjQ?6<$!yy>u6L&nOti;Q_J&3Zq5X?T~cr}n5A
z;I6XKZ_P~<bjk@Aj<KfVu$M5~rfUosJ`(A4G>n2xPNt-)TnYw?^#2S#Yy+Q`$1Ggj
zC~N*Zz-i;5iy7L?v>Ot(uvi=+?evw5#?H<2G0(NI|M2#IJFnV8<soU;;59By6TirJ
zYf%l^S%|Jb6SnZ%_@tS;fF9Pi_b2L@DC4;VGo=t2J0J~7M#muuAMCPt(5oYh{$u_A
zL9%vW5qCkl!%_#6^bYom9uUJLo0eau|FH$(z{2^^R4tsF9Xa#qA|LwlRNihbw}pra
zrmYf98n~Ojl;zyTjC&Z~HEG*zVfSw94@)Czn9v}xO+H|Xc#yWJ<@MVJ7AE+b0@m`P
zTB{ZY)YKCnBWt_ngKS{>n0&31o-#hvQM<vF`JKLlKbL#Y8qZcZ1l$X(R=`Ao*vb92
zGj!Vrnp)}pYxnxx;CU+>S^RdJ(024&q+e%_N=_RENIpbS3to`Ktpe+v8`D?m+g1vc
z;|~H@kz2&V2gPt$TX!xhl^H(jPwjlrK?jxxUCsPFYaA<KeHuzwKxBn~wV}@%D(e-w
z13Lv!NwFd-d=o3sH!4Kw%vgc?FV%BFd_4I4K<7A55-U_#elk}Pwt}KdfrZ~H*s&)g
zx$*aDR`4&0i#l&=3I9bj3ZH0W#+qFTmm=1&f<(@%mF0sL@FV34*G&2{;k!<`d*U|>
zh=%?xT*);D-inF#+Z*Qz7x+gRif4iFnck4q0W+wUoh_>=nIw=Z<v1e60<+`}&p?tH
zEV@_8XzUv%{@ZlCVfGO-tmAs7^5&E&Oi7gXIj?*nLQZ?K|Mp-8hmz{*>+L2`Q+Kj)
z+^L1ADycof%Fhgrt6S%e>6*ZqUx}3x1F7`5f9&?MpO_%d&b@tTjR!^iBc;!6Z>38$
zTb$yrW&(1;^UoEtMxeA=X59hlZhG%Jzv=NOOu#WdDxbN>2nxSR3r<z{)0ga>Ozhj4
z;1G}Uhb`|6;h62K*gFwJ^xOkl`KIj5aPY5==@WZHP&wge8{0ohf0m<@P_m5~MjJmJ
z%tZqTJ-a?Ggn5F#YUU9e`jQzsi<;x7tqov4v-{bv&?)-;hpd`zo-817_R-3vIvUu!
zU7$64&(N1&h>XZ{u|k$~x?ZRQ4Psm5KFOQR(Ys6}bzgpBg-k|()PEgRm^#LjXejiD
z?j>ca8QjVSCdn0%U-weM+5O0B&)5Qe>C7&}kbZUu*-sKUG_Mco&zPiQKQ7V@cAR0}
zC&vjR{wb5D7xm#zS-1C=_GS8B>fo|?G#9*={di=bjy@b#@=dkqU!jL_pEG&H#RKVW
zbJe_8C_r^f=S@stf<CUWo`PClNc6S-lKPDd*H0$Kx0W!&TZ*1;X&yg(`=}`J%#aN4
zWmx;|*Zk3|_Gz{Mi6A72hydRuJ*clq7#^gvfqVGBoK_}b$Z?UW(p=Vs_-{MsZx*wI
zbe-DeYK923knRe<5733i-2Q#hrkrs6kus?=M-;LKhWM7INFZ_Q!`Y(mTyT@GmhH8o
zIIKHBhK4gF2$}K{_9^3mGicANQ6~ZOZ?`{*Qy@XDlERUtyL|A|bF0|oIVmX5V~PLR
zrUT1LZo7Up3&3p0aV^(i8Q3B!Ov|~T1GgvMH})h6!JEEP@IEgGLofd>N$=Bvi@hD~
z!7ajIAFs&!rC9;A*)D~Aan^wtbE&8CYND`zy)*lrt4fgER7@H5(1AyX`foQ}69Yr9
zz^g4kl%YuTZpzaL9a#Onpx#230BaA;*rN`r;PkiTs%5<n7;^M_F%L+B`NWXCXq_6|
z=c%{+K_<c8JI1v071GcYe%~&2vj#A=dHdwQAOY(Qw_=eZS@_)V_PS|Y6N-eixq2?@
z!sfrxE_H-FTzHVJ7nH3HsjJ^@)?d(rD&<bO$vH((di!*Iz>@?4M?zeBn#oXRRT&qp
zt_)L0?6V(B>OlZ=m5JFJ&$>N1bcl7A3h<{=Qj^}3!Hlan7}%)562R@^nx_hGm#2k;
z==zX!cB03Qj|RULsP=9XYVhVSEqj@h3N3o>K4@V8tl{Sret-tp$=C=Us-}WX=XQ10
zONP+?I3v9=O%uXfm)f1S(BNXhYsL#9W9Z2(x_s`l7HrR*oXkZUT&~`*spgRh98M;w
z-;&S)SKnM=M<xT<T_EOb9AE}DC3S*H<|LSz@xAhr(*P>Bx^ni}TEOKklu&VNT^NiN
zE)#F30qN?Kx>{u`NPKr9{@vO?&un|WCDV-tN;)d->C4t&$#(Q#Zmk~JQBN5zUZR2s
zji&l+F96ZMTi#EH3}6;+-T9wBOwU_S1sgNq>p-@^12;14vO1>RmQRMmS9S)At?mDO
z()C$eGcxcFb=qBNAVD8r$!ptG8<?%*kE{8p2akUKA^G3Xf}6W-x}3Rf;q+V1V^_&~
zP-zt(eQc9D>=N?$ab>41WVI-`n61-=i!%jN;q%IHHtqKBhsn0kQ}Jc$yfO(m4&U%>
zKP(S65rn5*hAmJ`BZH2&X+sjP;1sNvgj*S#Pgh6TLVn=VJ_Q#oC>y?Et5YZp{htbW
z?r*S#Jl{_x+n#7Z*@v3^%Wm8-!^4o+xMBmzp|1VNrw%;MPSq|YOkk<f`)ee}26~QW
zI=OkNg8iu@i+|gu>HOMj;~3k3(m&tcg?q|ixiPTZ`oL%UBK#+FwSfU_-oa`%OiFNY
zbav)>bQ4ig+MY}}GQi8GJg2Zt4)%vwZ{<=MB#sio2ZrAPY~wQ3ct=PB_13%f*EA=H
zXCCja(mesrZN5`b`%MDeMP==)V`qqc0xhSCkPbPFjpZE%VxZmR-^->xPi&djE86qX
z8rU48Sp2GmVZCB~$oJ|$1Q*vU-GON<7|oU%w4M}zw1Kw$x-kpHwVj+Aof1}H=fB=C
z>pc&UA78rj;m#VrR9?CrWMc_5+ou_aWH{l*&#f0lw=EFyjERn-5DOrbwKD4JS)s9#
zD`mL+58?W|ARbE1A*+6H{B{!)bPH|PZ2vM(L=WpZ_D-2WoMO_;G1F!G1|bun>>qQ4
z&A+dKisokEqx8%;`ph5tRK?~MyZ%|?OYl4W{PU&|#L5SQt}}G|_%9;)y)%SrGW$-h
zUK8*y+<xr%#tHh4Q_UPEKc)#4oy(Wzj7{K1|G^#nZ+_B+?6j5ZSEmT>(1*p+SB#-_
z_V*I6^mlrP-ASiT+7uz)vr$TS(Fp4KGT+r}e4(dY>EhfNJ4yVwKXLl^ULzPUUf=Gw
zse?|{DGb`uKS4wen=7ic8$$V(|8C{}eL=53A(OnkGESUU`!aZqVF+p8w%Bl3mC=uW
zY8Y6zdz_HbznQM{!~h<!_y=0`TqSb66D3Dj#tCvk+(@Cm0o<KGdxKK&oDhGI6URF`
zMx1>2dTg$k1|iIW^6tA{5)KELOV5jq6C~M)^%G<oq?ZQWjd;~gG>?Qmq{NOBPfJ}e
z{4o_OT))(E3U(6jq(T&CX%ocb1iiip3o2m!x56T^ZbEf=Ha|&pk`S<o%Itfg4~4N0
zxxB`{5TugZW!Y<a#M8xD@q)WPIKDw+BlmB_g{;vNoBXGUcV@8{M&3}sy0%emL~nqg
zRtDcW<uXmo?RfN^`!5;Z9rG73;u<6_gbBOu-Zn!7HM3jo(k4SemFGvXUq6Unv-6p0
z@w3FG{Thp}ck2O<ShO6qcbI4)K`U?19ATSTX1MN#F4$&<jVun15Z5CH{S3VR5I3Ue
zrWJi8fX-vwFSvdaW65RQ-#Gsg-KTe`iffYKK>j`Yz~*t{gol3l-l0W8Qz)`xZ-@?*
zJAT0KU6Vxak^fRJ{9Put^!d5uztV=4Veg8;;wj>)PpZlDb*n^BR=?2?Rc+w@CCRrW
zIYTt~u(*v6GhzLG2R=r;7JMCDzo{%|miQk40RR6Cmxn*pe;miH?7cVVjN|UO!=0J$
z+l){tltN0WBq`a6q#`4uenh3L>;_R$_aQr#imdF6Y>Fh~*FW%nydSUk>-~7Wp59yu
z9yPmIkkzLLRee)xu**>@smpeSkx{^+?9t1L4BWKSCikm>-09MgP`OpcXxQ~Mo5XFX
zyALxed8Z09VeJ~LQfmx;SIr4aUk<eG?BBu&D^;-6d@9avwa)k@^Vu@`5*G><VcOl%
ztOBn;Unr}|-(*a(Y)NOl<w5EHaXi=Grvd{-QvK}@n9wVBUe0S~{ODYaiKhFwGVCmu
z5OCpVL9->&F$W?Ak()E&mckWfh`M~;k(R}ZBx#p|R+xoRboO7{SPf+uDi121aNdR@
z-ic`F6^fu2Z6j|+`tk6|Tb-<Lz=2X1T?#xx#L$O}b^$N%<KgsVA%nJ)3(>b+`g#K-
z&}r^-TeH4+h<$S=TsM&iT`eb?DrQR|{mhfib$jrzFZoYWGZ#M^j+eB4#4L-%-|g$3
zvBCqvagjRUA&7{@kC$uH<dMCB{Na2@JP>>PbRzqOP<8K<;1}hJ$i15NZe2JY%30>f
zHsK=Zm%?v@R0Ac{)$3(j*NBHf@uQU`W@3nRLL$a+0FM&lb=4+xmBGj9+xj0Z31r2I
z`}O&u3gR4yQMLG>4Ck$F9~$hCLRaH=FQs2mL(W6E)y6w2@QL}`Nv0bz=<0?UF5$8|
z>Q#T1N6S)$B~NmZ?jJc6-OM;4kWNJJo-mz|noxr;H)r7JPDS+1`wFjjEg2=f$c;@1
zRR{I_o|e2)9D3usy2D{v3zeEaw469fgs~-!9UaPew0B88oFYm^nSHn|^+GaCeThys
zD^*4>DICu`RJ4(_wCCJC4GK8#S__#rQ$?5hwk~O_>L4ieQ94ygg@DQ1S=vKtD1!Ue
z-VH8YguNNx!xN$d{Fj0oo`tKU1Io>M#`U_$b~J*)b&du}q$QfNFcCRK?JelBq9I~{
zVphx@J-~@~obgT}p&x!Ev9v2RB<&?7m-@p1n&lIFx);eP%J*ij*BKhhX$pK-vd<WJ
z>bJ<%N?OQ+>lMG)nl4(DI&CxBU;?}MovTUVp`c9;{hNHsx+pn+r-}7#0Fs@D67vxX
znz%6LIXbP4^cT<EU#u{N*EuSpO7RrLE<>6%cA=tKr?V<Nm1ZEJQl!NhOF=%KOjlBu
zHBoodj0kI@IaryT|J>z7K~GL=+v>M!py=DlGab4X;5N^3Nqk%j6>mv=<UXQ`nnZba
z{miofhcT9diAGJ7`(G)kat4P88|ik%Ll(e}5@~b$$*8(BlKfd;1{EYF_|H#R!17t1
zH-vm53V!_TYMG`8S~%4!{GiqXhH$d1sYo4JjLWKyO>m&>3TAqAfCcb|w3&=lsv)}b
zNc~vh3gg0ul`RUd1tf6@O&v*BL4sY+gq_N&7*DzPNQ(a3UsW%(Ou!$H%JvtDyvv@)
z27-ka5sNuEg>PJ8-G@U*JwnpkE^lB5X2rk8`k4Wf%51)Qv^?^VBH`^eS)uF0cPrO#
zrm)9}iC-c~8rAjL{7CKNfK8dyi4QiWz;efvC#XXl4P;&#LASV}r6D}jz8at#-Trm?
zfCyp|m@;2F$_u!<r-Z%Q01bO<g9H@?QT@HcFGfT7fT#479UR7hAD`HM{{T1YiT+gg
zhMgb6Hd{m&y-c9(rF?w;DjVvVyI<F-#SfO7NH9KZJBSOe?KPBPLb+3c8H=L)aC6Kh
zJ^ZdQDEnpR>z@D3Fft-}EPUjH)8QV`Yt2S*tzj&RTXmixCh@KLdH^3ByZqs@5|a_A
zZq`Z*@(eRnbL=De#rfdFbZmgQsUggDPX@mzu4R;1NtPSE;f1k0t!?aa25?tzm#1dJ
zJB)EZ$hsql7e)qt57PVfVd44vx^a$SY=v|;#B3)o9Ju4r#i6GUH(31pTh*tq?pxO*
zC5(7Muw}R7VwxT_Y-!jq=`CVIB#D>7yLiD`-OMU_iw+`Zwa%9R{e@i_Vc3OU=Y>`L
zu*1nSbeI?U?YP5#6?<fQ?bWGCUfB04zt&}#23r?iyy_|Wi}}^;3g`CcgEO_CZ>Sxj
zLB-+ZSH~(hF=Et_!A1f<)M#p@J?+(nz!t39>jM*bTYYN!$}Iq+W)Wv54(oy;XWH^#
z8VhhxblJ4{1R;iV)4XX)2ja~1SA5f0L1u-y%Ctlf>{{+cxP|F}uUkdmm)~q4oHy74
zo<fk)F?X+CNC$YF(dm&x>~L-6Ke--lVW_LOx~fv94Ng6IB$j3l*lII4&?+MW_ivBV
zUhL6^Xu0f{PQV3<^rE*D@}dyFC+=(gA1e5~;9Rb6<_0Ivyb<y3Vz4OqQ#`Mb3jHQ5
zZ?_%)cMtE1Lfas55UGk9Zt$Q&k4fa8Y)O7lmv<sXeUJc0W;e$|1u7_fWzl4w5CDHK
z<#W%?rGS{?zcM*a0eq)r<dYwQaBiN=@})}}xK2As>Q_<VrgW;|*##jWIo3QaijxKY
z)oN?6WC}=RHlCq#iGYLa=3>ubdEj}t`0_{~1tKS=_n)ANg8HpdHWv*=$RSyK8JwU%
z9&_6<i$F2>ey?4JmxhB=M1wN<;}mes%Hx}C6NezXADT~gD?v_SzmV5C3WV1m%+xoO
zgb8c>x5N-UTz$F_b1i`aY?po?>wY5zZ%6Ha2R&7W=nq^y;?)$m8j_(Yd`JeK;f-)P
z%PKJFy{OdumjW9VdM9f6<$&2YV?EJa4Pqn9Ub;F^0pT)f^d5O&vn)>;NF#uj$1i%u
zYbr#v`o6p2st6g?XC?LK)S*Try_{yI4Z+JkDl*PEkWccq#+ed9Rzy_c<&ZYK9VlLV
zy<Z7LCHcCRVo4B4Ut9CY_~(bpXNO!4;~~<eak>GKf!+GM)6!X8ka{v=rRS{-ZYBJ!
zSHEe(YOHBr>=7Dp&nKMwb3p}8%{M1Ve$j#hABXk4eCbe^qCK4&rV0&@*c!juQDD!B
znenH$^dPF8sm38h4cPzmt!AW9VDgV>!ro8%V5sg>I)0J>(O7G2^m7WJbo2EF1w)9x
z+5aoaLLDBZ$rg1zp#WdGD<&Rl1bXAGd+pdYU?%9#?~zCf6d#nHo9#A+*=Hqt#0xaQ
zg6EXudHg>e<F0jn(J_JPcIy|QOaxMmf{zzP3)(vj-I6Y2FflK8u`PfIpz!VFQY{(M
zGTd;kt^le;-rV|hBK#DtHOglt!QA0F8etM3lA9oR^9B(paz;$=nKi()<wC2G$G<!x
zlxnE&B!X7-b5UHI8Yrvm*dI}A3SO)iH?6ug;Ea8ffAK$^v{yRnXSmGZ;90wP2R#kQ
zn$9xv;>Sagr*mnsz8SbzN9;2@tq!6ImLgw@6+x_ZfzH3n45Z6=vW|ohKuB?7*{50-
z_LFZl_}QAlh_`Oy{0TL9&Bx4Za!e9BBFnC^>X?B@zs|wB?W!;mEIE1igeY)HHWysy
zFoTW3!jSLGDv;S4=OfS|2tjP45!`L2P;uVtl~FYw1TD?0zZ~TOwX^E<M^{WCbAGlF
z^HTz5rKT7IR(1&bJ=o+(HHEIQ^=ofcaj-wN|5(-)W+)7=>aFVnu&i!o%574Bom}?5
zhs*wAw8uCL%MgH<LQX!0`{f{L(&R}}_cB(#v`J}`0C1jGvs-16fhGaz6mhpjY{4m{
z@7*a3bp4szCO=BT9m(e{`bsm{`q@XOi8&^aX;)UBRx1v3cVY}<Z%trz;|Zpv1KWXG
zp;>IwD+=|rjn-N89a|H-?hqim9bU^M%KnxXfourAEa*Optp_nbd*@~hQO+TiGgpKF
zc4`n_Ym8!By|W@#IYy8)UcyKa6@);WwkeOfQEZ(5*rds<A#lse_4%gpLAjJ<)q3z4
zcKvlH@3@g6_%A#Rd$pSfn3o&2zsjD#HpA^#?Qa@@v)D?v(=IL;xtLvNZ99b(4Q0I#
zn9zq0WzWUUZgRl)hgu-#GK*af7yZ1)LLXwVN4zfl?2z9ZSLo=vfZ4NRZSV5*0JUEi
z@o!>-if{t!JMt1HLDy|)=g|YV826&+N>=#T!tb?B_7~=4H-FnEkPhc<FN;0zVgV+P
zOD|ZISFku<N;+<g21Hgd;j?NiAU`hf_^8Dy)+Hs6tPapXE-@wFCz}~+e>^;?626A1
zr*S(Lebj~eC$n2`ESW*e%)8~n$92q=aLC)#Ru{AtH#NWTGsByyt6PEFw=l|QG23nL
zbig@FF8sn@CJ@a2_Dpn)3I2Q!Z2h@Q2VU9>{%qr7hPtTLGY^effOJo?M4(F>_MMYS
zJ*LkL$h~8C;v-h*9+s6p;;9X)dn6t!Tw?}X4t}RSgl*7KDrd0rlM4FHUZuuM%&<>a
z*#3SkJBUn*42{N6Va|3n%;6#nu*tJZ`UG;qgRT3aR!UUxx4JrDt;`CyzQ<}!*l<Jd
z-7y(+M1gtA$BM&KtiYRochw)`h2F@(W=>BEaKBZxQu@dSrK)a@#RvIer{&L$PuvtZ
zU6GV@>dQ7L500NH-Yp19UFWyj&T7H@sk$2nR@p%?#+U77j1b(EWgRl?)P&;>_WCXu
zC#bj$9!}^LhRWvqAq*=`xG^~4CRM}*t&6QeHakRNC_V0jQv(^Un+PUdGvopOMqIPR
zCo$;pGIAvBC4-b&FxIlf3kIzt`pTgaFg`?KPM;&ed!AKWlTLmx{Ix+$vXFuivc8DL
zT@rkWW|-@p7X+49Yeq-4Wx(rHmcOtY2_7F3sJfgi1eNh_aekI^kfrl1T3?3*bs9ku
z-&%xWf|ccfMT7!Sy&i9v<4Cag@xq^MSy2eo|56sZpa?pg_Lg`J61?rdD54T429eWA
zHQ_WRxOKJvJjsCsYmVL7DdG|k`z#<bH1Qv&y)S0qGDz?tsc8QsLlRy@wwOFwQwCAj
zqE}QdG8mm@8}GO-4K{4Dp}E1TpoKh{7PHAvH*z;J-B%Xa|LTM-Z6m-9$NAekeKcX=
zym(f>zdRiAtRjkKsY3=9;qK|J1veW%oUpW2gn$Y4P%=h@E9DP%(j6!u^y%GiD{mZd
zh$Pvz43a>?St8^KFBSX-=zI>hm4JF?^w85_O?bnkY0&Y53UU`?E^@WvA^GeTv!*RA
zAoe|H-7}>P`Q68V!ZsDy{xg0oqT-(q{yN-d5zvLhym4=P%v7P<TuH-X9~Gpg0vB`l
z)4=$(?ZK*WHP9#!@=xucg7l}CG~YTpd?kPAt$s{^sp5yH&QY|XE|Q(8+EyQ&xoUcP
zKB>dKluI?6?%IHRl9bsvYXEvz@AqQgG@ysREn3D!8=^R5tFJ#Wg1(%(kcW*#*pWz7
zQ<2gJm$2CX-nwjuSx(NL`!OW&@MO2H&ZI(q)Mw@sd>H7T(c!d`CPUR0ho0{c1&){4
zsEF?eFzdYLo_m1|NA~)jJk_BE*`Gvqn@gBN&fd&D2U5tOvfS+?5<!NMb38%)$P~aJ
zvrEvA3=Vqir?+=#K>9`9vWS0qWZt3}GQmp*k9kog>zRLfr~Q1FL5&%Rd&etW^Cm&&
zd-crF5oM^*oz@xRFo%*I&E-M~M95!M7rXNr2WZ%~fJilmW$`x7Z=o8{dtq^}RH+=?
z`!RR_wt+d6`#C?KG*X8mv(CObPDx<8qa4bkYz}<E_n$fUsKFk!Z6Txo{%c9wLNM}|
z8Q_UKU)Q;+0_lj(F_8<r@Gbs!z5in~$h|~QtN5r4B(g)k<#9H+=#k@f)x``N3uI!I
zjqu=|xXS)q?l1NrB%)pNw<%C%<E|?{!h!KZZpE&<^Vr^MyscEcDcsduDNT`9gnD_+
zaO;*{4Blis=#nvoY<BF89bFFmc9;6&Tr(Np66`X!3jT5H;$Me^gVI1tvY>N97h_|1
z=*4{+fN|^apnHJ?j2+rmx!q@!5zwAubNU(vg_AqC#FWKgBI`is-<nAV;eF83y*v}>
zoK{{WwF`sTo`{A-_8G>7!xs){wr&TO#XsT6rGk)YT$o_~be0kHYVX?EFJn0MFdjb|
z#0STFPqQmY&N0H^Pp^uqF*wS;{=@c*3-&ekIDd+nW%$)<on&`60u>%7*30kM;Si%H
z&&XnivFSiN>UY-=>Paa!wtrZm_rreX?1(AGOu1I5*02Hm+%Bj8IEWdN%BTOEI6lcR
zSMe^|A{xLxD;$+}c@z8i_+a>~<TxW}&#puNUDSs$toYQk%r$H<@fJ4zY?M*%|JJeK
zvmW?6bo{!i{TrK3SM*NVG0bqk=COa4tOsufqhwzj{K5vyRbJGz_A?#{?G;c;q{G|_
z(eqc{B6erl=28u*hcS4hX^QhF4VuM@-!FB~Vbj(pS9jNSFiv#-XXx!p1HvonEQ5U-
zYfFC{CzaaHxMJ~nT%=VO$_jL4rQc3q{=2nkUo2V}QSv5J-A1}#w=%+WVdFbim)>0*
zIaJHIoO--6>8TEgQO&-L=8s^c$TG9blg}Aj4+CzC6Llb>nj|asYzV_mmpG#Shm5Id
zO>vt7ZP2u28}wEkz@EJJ&RP+^fzcO@W4P3{VcOj{;AKP~cIH*cV8)G7tTN?LoKYzi
zrY-sXCfs^3CVu9_j+HMl-T(GHt=FZ3p<g7s&eJYzai^wtu2db?7=MBq&!9lb*W6-Z
zpRbsp6F7U4n=tL4A;qEg6!_+Bu!H4FC)Py1b9h*#4I`^nF8r*~0)76yhWlnZumin?
zWqV`Wv4eqlo~iGeaLBWLbStX^<9gcTlfnE26W?MBcr2_5imT%iSJFDL;>BCBH~!80
zroGTAXGMlX`OB^4?>n#?K6#_l;@#Li)+Beq2og*QZ{yB0>BOF-{(PDKwikOyG*dtJ
znh2RTx!8?~PHdUx^B^v{AM1*K)%=@@2)*X>PqG@nVzO%-AA&80uv1P`(Zx0zu$X*Y
zSfZ~Bi_~7dpwKgnot~L?Ka!>nx2$9MI8}PESr!=qeB3A|yQHbU@q++M{PhXP@_MmL
z_TkS7hsQAa+nI&OObO87@~3#g?Hjgy{OgAN!3pfC#$aQ_JvA`dp(SGCFo12Wv{u+%
z{(-r8-Ko>xRE5ofzwS<^L)frn+Y^u8X)KtvBI=^2DwMsE4xxq(V{Lv%KSiCM!}#Fq
zjNy9~V7We}Q{Fv-<+JTkD!;dY?YAx5f5J!wdJ?2}G`oJsTG-9g%Lq$Ywn?1$pHgKA
zoxZmGiF+K=WXCO3_Ws23d5){hC@X`Ifc(yq@d?Z~DX3NV#WGfHQ1I9E0UlbLUXNA&
z`hjII8O5<Q{>J<q1aGn^;=$S?&vVdV1`BMUCWLVP>uEtxlD6k6f#*|&L#5SoSm1qM
z%gC5@ELBo{k%z1V=J%~w2xtMjos0I~vDv~{mdmP>U*TZS-l96^9ZQ(=SZ?_rb!K3w
z{W!>Ej|0s$_XUIBKQRw?^Pe^U`eWQ?iTj=Jija6zxK^xV8B>lPT08%Y4eVrH2A*D4
zgzD|n*?A+su}i8ctrKt9!G4$col0dzNY>1oP$jHkM>k9a53_Iq=+J&2xvKzas>ZXP
zMeCSu<>9={C?2>ax$8p4hCGlJ@~$w>ZehYZ2eQU2`C;?6yZ2jPd3d8imUw_M!<h%&
zEY}MKLEBX1!~CKgT+S_Wv0q?;^imh^ssqAMWVZ-qv2tL1ru??t2R4uvh-*2oD+&ke
zwHQhUa*)xw^Hp9yJB061SRVm#c(mPFPK8Yl!tlSUd+}W0^I4<9BT5otci$gBHZKd_
z5x0^A@_9hi+#vAqhBPpT@8U^il7oC<_FHqO_<<VOxVfuR4tTi5uO*wvf$FL^t@4#1
zRE;0gt2&?vU8J(if~RtDTJPKZffK^;h~B>6>JJV=?+Jw=PkAW5u$!^I{oj5Ma<Bt$
z@X!}mm4DYm0Up>I`IMQ8!&F=N=k@{>Fksy<;Xb4Y`-YqKtO6uqE$g^g{tGo&vp39A
zG{iyt(s5mSpEO9_>D>`FqYnEvOTV@{E5VXo*2^6Ma?o|>QMr;S379ChLMQ%l-Al^b
z-AYP|kal+E__n8-z*wD$*yI0?M@Mz4>T_^Va`)xp%R3aXAF0R3+)x8!KEou;1P_mT
z-!OjlQ{l*|_U$r!8n7eh%-ZIhGGtWJ*@|U#fP<H@q0LT)6=Fc|$ET_gF;{t~X{Rpu
zUElcXhEbqsk|XhYBmr13&ZdNeG^n>9Z+gF78=lk{PCnnO0VTs!QkxMSR-?mA-iGVK
zKBba|^Kv9;ust|>`5PVN9}ITxTBF0^xnp<SzK~()=mtYfLl5GeFQ&>C8bHark^G5c
zTA<K2!ABC&gT3d5+A2bfA+d5;A;N<KM~06cVZK2JN#WQIKPL=a6rY$2Oj96<+O4;K
zjRr#NuFnkxO~L1TX8foP6_WAivKF~@;gRX3i*s&fz(wi+!9Xgsr*D*nDQZL6yWaMo
zXmdFBh_&^-Hx&?l`|F}AEg-KPxppDY0$zUHN|aHhg3A`;G4nGGXi_fo01Znhm%gPe
zQb>WA0)Nc~KNZN!we}!qTEdX$jiSf%TF`iuTScF)2o$CZgwYmDm}{8$ZlkRUo;LX>
zAw(Q*4Yj*{t+s?4nIGt?L=sRo3BeDVxnaj<MlyG(B|NS+alA0A4lS7$(*lLd*fq(d
zOJM?*FvG0xR~G;8p1+sRh=z7D?(NoWxq00J%ELbS5M@;0eQu{}!o|Ogl$$9H{WIoJ
zb5Ai{s!$2Ox(GKvy2y^UHB}w)v^EE>0Hx7Mb4AFWBi^eZ@S!lDv}c+R&EQrF;eqCi
z3@kQ2&Eez_LPVeSYwqi&aMIK_`DUU7guVE9di=F8+WGA3w}Wn`pjD~$KsZDM0(yc_
z`+x|VO(f5&H3HbQI7SZ~6#!8nG;GF+BJr`3{crRDoFf;poBo{OI%-`kJ}Qdl)MqbL
z9>c(yaK?U2i3Qfn`>NO1MUi*>_}l2yCZPY{ZhGU_RjfedVx-8NDB@PBsvnNp4g>t|
za?ZlD825kL%vFt|C~M7$|4N}TSmZiyCMkAeGD_P<KBS7GhwmDHa}OB7MLVtFd6{O0
z%no+fBZoy%PZMX0nt~BLR?G00`~ICFv-n$8hAN8s6($*Zrwt+I-P=AH*+s_v*{#2g
z{G!OJ)RZ~6&HxH7quP3@-wgBQU)JU8B8cc@_n=zI062(bqGi-N<Asp<d-hEclz7{M
zuPRO-Tu%rHbv$Q6oks(@wuy<N=}`N)u5~>KJ}$6jx6FdDoE-8_b5TSR@UJfo(1Q^}
z&j|w8He_h@B6~ho6lv~SB2O*TfekmYWx2+VGT#@fR{an~>YG;{xrEc<rpDBR=5|gL
zxPbeH^Atm@iHSEyc<7K`W<H{HiyQf;)dyc)5kuE=dyhvwq=7q=(non)UesQ?^-DTe
z9FY&UGuxTaAVqU<;m2P-ByVH7pVLPIrMIR#dX4CUs6hx7S0aFHsUx~xyChLg=foqP
zL|vFT)Q|UlB8YB99z0-bD~0qLlPzOSb-_tXgT?ix5ITmh>`Ff>jXEp_{ICrjI3cPX
zGJioB5w6gi4&0JKp;`H94{LS6R{6h44o?weqLP~7FeHnrlqc`eZ|Z>hkENPDheT1A
z)|3v(N*?_bU&h_>(gCyX+HupvV#sjPC-q>10t!BMHaW;z2iVZre0e`{#6K(>A62G^
zbb~JrrqXnv)Y2eoDNzC$``D_kUB#idPD(j-nmW*!B7nu$NTR~f{sN<uN@&}UYL_3n
zI*>vNejWHn3i%wvrQsd%NFXyg{O`Z{H6)gTc}p2YulU@cW37xd6UD?<PV0bT{^wtP
z4`ory%II{InF_Mpz3S9+Uk7A3!dzbQ%A=enJ=GFWMZ_ZIpIIY1;1_*xE%mAbI@Ku_
z!@$&#3|rAt9erK!TzD}Za8(h>B)l}D855A@V%tym2f85Ke|^Z=9)~Cyn8p}Y9VK4u
z6s(q^!B)NAUw$bibnwJN>NZ&o6!3K-IkSicm7m%|#>SNpr|gQW&awu|E`|3ic69ju
zlU7<=fk&lNd4H}|5mCi!mp(fdJxIevD5ys&qlDq~@)xcogmR-I6I=A4cC}m6%t{44
z96D|9JU~JPaX<F4Kh*!nsS}>xSXI$&vS2wkos4qsXAAAPW&l;gb~zExRgnPC{Qea;
zGSX_nLX`pyVYB(tM$~>aM6l$di#m|e@=g|m5+5UYhCgme99KgT2G92A@{rLh&#6zg
z$BiM2e*v|-5zsjj*Ftg}2?;G``wbr44%&$eJGiR}D1rRwXLCCdtsd99J-@>QD$nhb
z?^`1vn=$1FzWo{~5%Zxhs$vjz<;(J*v^w(ZJi@y4TpjsP#yyjlFo-#!un{Pwj>286
zZp?ZRkoTz{S<L$Y`gdO%9#|%z`xo(7yT?`k`Cau_&V2y;S+5;7PY9^x$(C25g9@^_
z%wVqQ1t6sD^Bb@sAk8@#uPVl){{a91|Njh^cR1C56vxf$+S|3aYjf{)?QxG$DJv}z
zQjsW1B$Ohhp%U4Z5E>{^H2nG=6e>|hS<w)pgb-!?{Qr60&*wSkJm+;@b!YUHok_N!
zSjw^E{&P*_*2*fNvZ><0)!t*ODz;#9ljlm2nkE)sRXuC$sf;AS?R!t?+QO>HOCoE7
zshASVO^uCHz{}cRg%(s>=pM_HFTSdQDrxFF{bOX&F*)jHf|xC==kse9CDf7S<x^W$
zO2HEx`>%YS1c*!jJM_0x4HqNsRPR)lM1Ahb814pu!>gYWHQ!WG<YVbYm0mHt7Z;aV
zehFZhs&OECN(Jj)8?=TDh@k483k6p<0?4)UNG>cZ<8BV!CMPc;JhHuFcaR8xV*43t
zp{Oz@IgO}MPV(cQi66bnDJ+;4|4>`8NfE8rU4-jQUZl7;Sk(Nrfzc1?SB0|W@%AZg
zUY(sh7%G<Zw12w|yxDun!e&|)Nxylen%GGg8DJe2P-hJXubs%T3X(yl*>hiUGB@^b
z=Pmf4W)1uHOvKawQZU#*`PB0uE|iN4I&t8X6{ycj^_{&Xh0ml<FDT1%q2$rq`Z^<)
zFx%d!Ep|u}Lm#x3td`_LG7tZgCTB}ncv|Kv>L-EE?en_5oVk!avh~(rr3L&vJ`lY#
zNE|~RF54A6=0dA~rS{Vb7EoNC;C$hd7-lwf{W!ga8!PPCt2ZW@gGYY!!`=>2bd3`|
zmZ?C(2M1igIxU!iOU5P35Mxmc_CbaHd^{L<N_c@1W(LfAAM)4S7r{t}k$)vJWGr<y
zml^$T3Qcj+GyZEt@YS5q_jX5K^pCX|9^Y*WYroPq9Q!GZksc|Jtuy%WvfpI>`VkWd
zhEvlOM}=|lRzdMRn*g@%p`J7kHG!cv!`x&GVT|Uw6Z+(gAeLKiecL%_44wf7rF%4l
z@!W%Z*9d)KqzLMyZa!lSTcuAi8!d(LOSStYzbFx;&Dk@?<&7aVdQD>JN`9*AU7pY&
zQB)~*o$Re*!b2%b@9jgv_^AJl2?mQ{Q!=mDt}RT6&ApVk&q@T#_ly&UvEs<r>R8qG
z&j`NeZ-_3<7QrCiFqyJ^3CtE~x|nd&2%6gtNj39{;-!pLv8LUUIKRAT-sfoqEUUE9
z`eadD$7yNNu1-OI8%B(~xDg04dRmIK#L!8O#&P_VG>%(UQTKE(;Jnq6e|D!B_QpMY
zp}8P~)~_euS6ySkjz2DUK4gfaOLj?N&RIFUSCo2ucs~Qy6>B6E?UTUj+VO}80|j*C
zw-|lo#DK<y9w`?ONlbsQ=PNX(h>J^<p=CM)-YfLKmh_Oq<Iew`uH3GSJqu-=x6~M5
z6uhg<Vjl&KCUwP5ZdO6_H>~TGDh#N25X&}@A&pjRFFp$2qKdg?9zQJf8Bk-;-OBbs
z25)MXOBC!-!?lz5^MlqfAWiU$b&#GMvVyfKct{;RT*cnSgfYM&`QXu<40(*^XX*XB
zq=60F)ch+-8L*gq{NPgwMf_V8TR2=!#m1{DcQ*cI!19E*aeR>yn!RGr+uNpz$^E45
zY1@ooq<(l`(hX(2lRmq?bW#i5>!WWZy)%NtH{KebIHH1y+1sVq_;k?DSvpbPhY1gQ
z9_#aas$!fdrD#M_7hk`X66{-I!p0$=Tr~?d%%~Qj$O!9UyzEB3-&MxYaiCt!LtY&_
zZulskAJ;?O-#=e0o-_f?ppv#H3+gzhNk4nHR3A;Z2|OAJG=*1!671t2G;od4!6W&$
z2FTl!z~1I#2HBgaCsglHu_)GuJ)_6~If@Ddf9)~{etRan!G29#sB(J-?+j39H*y|}
zv;fr|H}4mzYT>L*&so1`259hI(5CT{CD<2Te8`1bsP&55z;%xSdX^8z7?oMUQz^>c
zK09sfS_+s-Y}UsoaqSPIUsyv!s^~U>o7#Bc?kgANF+IGzN~d|S%?7Tk>it_B(Z-zW
zOmneDUEE7k2rO%1!Mb4^tpRQwJP_bv<hWZ0f8FERM)L$%AhjOp{HKja-@C2Z|4s`V
zo<-)U*8qscr&p-I(#CJ9BX8rxHF1kF>)4Q>Eu7~icG!n$V>H!-E@7^L?^XA=_Bh*u
z>7j2*y;E8!J#bVf$xRJwd^gzWMcKm9(`nBt-L){Rd?JzIuYz{7w{E;iwgub1A9YD7
znn?S!81<E;g#CVO|ANzOq2a1p^p`3szWS1X4i3m6eYw}h`Lr!ekL2!p+@OIYf;*j+
zq@=OL{}Yd4ur2i8zGbwrK^<owdjwzSmc*W!ZwKXBws5F0<nPQAHB|L1d%AIr7|Nv4
z0)cD`!$!-(4{xht=1XM*Dj|%k6h^2GjR3{g*K${7svw2%+8~<CkMzVVr)!P_6n=WG
zF>qQL>Cg9^ZKaYixhU~A2Lm84*}K7QNfE{NI+Si&&y5`lj7!nTf(89p@>VtlRDX53
z;erq+x^^}7T&J)=cjEGYPi5thGp3O9#zuBz4tI6G*lPoax5YbIxXWNej;}X|C>xHu
zw9LJDW(~GCE+{7!Q&8Fc#8ck`OT;$nc#njbHOOCyW$u!f!r)haQx78-30cf2eY@KV
z=zeiGnkpqw|5U`@G`U4WME6PB+y5+qGiTEbM~FDq%eURva$F=@9^|T3QY>L~`q<je
zmAV+8Z>TykvPfvwo|YSnSmA|l4KvGL6xYu>Udta_BBDa>yS?f(2dU4e(>HGy!Rtn3
zM!5<bj+K^Wp0hBAF4@=QIwN7^ju_reonpfr$D+keH_YH(olAQ6S3wLu>v`|d7k1Q6
zbl9~<#0>V_H<~qR7Qn4V;Rym09GFNQ{}dH(3St&Ut@5M%c<tlw%q9vKUQSw8S)4V2
znGm1&FBbgxtMk#l$gSL1Dq`?&=zs}?`y>RBYWOgF?4d>AeG<0#kMCdi%NQsf>t9>$
z<-=&p6B{yB$>^q`zR~8OF;own7Cy9^4;{AgxMi2}V(t^Mn;++yFjMC|KI+7Wew)vX
zA79UpO~Mx4j)_cQpA;5UiQ&UNqx(O;78b-)JBlWXDNKmz6*@W6%7<B5=4-b75JDAh
zCQ|Pj!I~{Kcl@0B@$6;e<N6UIm};_Hhi#n^5X?=7X2<zaalOB%e1a&>NO8m;8e>5I
zbbZ#&Y5{Z%m26&DD27onM&!;^28fWj(~FA)k<{NAAm1&Hhi%;pVt@f%e<#YxPlRwo
zgr^6anj|VkeJy@BO$X~3=Z``&!pLaYqZ^bUh0W6^2e*{dAzLKDu%<)=r&`AO>i<#D
z*(u;<PB<ODzLMvb3lqhD*RJKj3o=+IFLv9WMTeQkR6m-N7<w&tW~Z3T;kUX~!XgrM
z*wo(iEyF?_PcK@pUBj+`cT;Gj?kO5bSg&%KU`ed><@O`TZ;IG+Hc%(6j|TbV#)7_W
zlDMh&)`R(j%D8`R<(AEDG%&BG=KQ)Sg#)}&`%~goa7eB5np-Cg4$tJI-RP#EysqVT
z?p#$gHY+pi9HPPOsjc&Ctz=NmQ+nO0Mm79Wu6<`SnGQGd%@gOUWYMMQclLiPdphHd
zqKTI!9hQAYUBlPPW8L=i@YIru?^-DLj>XfVRouxz{I>$ihNN716R(N?wa@<9-A4z`
zsP&$=E0mDx^`<NE^~&Ch+H(G$3j@B@40##WD`S}1Q6`s!4w^LT@9KKb0D=}C@$#Vx
za;L3|7TBVT?>3n1(2h2OD1p^|-uF~dR#|Uz^Eo~IChYhx*_a8fRb$7mm8szzamX_K
zjy_6Ghi{G)FowIGI&7t7>UeB>W1wEC0e0+jW27${!}{t75G>U|`Qd?A8xsw&^>Tes
zJ&!5Omhv3DT}Z`9$rt^*DKy;OKjGA<Wd^kw<GVUjHF2cXGqBEuhPOBWCqeTu2h*w1
zCws!Q@KA=dec}!p_6>WGSa}w}$j}n_YN3s$OyP!dR~ou0yLyj|S%PwcP;%aPZOo$l
zncXHv!_d`t5B)Z?hFGZ_rb3hsO8RtX!xlqad;Lnc&2bx05?hyP_gM!YNBNb%WEkLy
zn7{utt60$FL#=zFtc%nv7e{$Q59QYm8=VOTm_Og#z%tTB%k5%^mpOHjm*QA4{~dtm
zn!D71lr9==k}&8H)W%hfQOgUPZNZpzlS}Kh&I<odkz2;7=yp}Sc%j4=oU7hX*tqK;
zy}aaI|6O&AJWdMrAGHMyW8e9ACE6(6Qd}3cM->H@o)8rxcHpdd+is#?3x&9o-8N_|
zW9atGiclpxxMCgD(DX|akF|+t-eQx-wD^ec+|qV1H_@89b&!h6H&G(@Hw8Uw7kRQ5
zYyqFiz7(xr@t2{K77{iR=<RrQKhbIn@2O=6PNuH(QETar^A8cUo0%P0x5BT{qR4y^
zPc@uMj(J1p6~NrEsBuvjTaY99Yu=Ps#ahRw6ILQT`0cnBzE}WAt9+$(<%=@D6(3~Y
z8|J{ejDxQ_iU3TVPYUyGS3){HeEJG$nc$jB*Y#Ql@O#VJA3;J2c-r^)?9rlm;z5*h
zpkWsa4ENMo2XxD#S4PP|apDZ&)6d|TkY>S$8MeF&&!tgl?OrXugegL4QDsTj(+2j9
z<Z4Q{OW~KMhE<9Y6GV59>$8hF)?nh8Iz!@-M6bBGim~8vf-TR=e|^6deCCq5y=8|u
za;BZwl<4%6XcYL7<*Z=^4|LM4^}dK=#_-$bHrJoT)61bQlmnKa)a^3Jc2)#W-|RXT
zVmnT7=3KlcL|A~^ren!zw}tRxF0%^%{31AY5>tc3EPz}_+_gF*fCi~SPdccR#B7(`
zSNmXd__g}y@xnVR`#dzQb~<&6sE*3vy4hd`8l_bl+Jd~Onll(dFsF%rJ@>gwnr5I-
zocEZ!ln3+0_XtFD&Jy&UHLK>&o5IyUp&F41B;+)fvumIGLlksS&vmTurRGS)m9}JV
zboH4n%n|uZblzG!FBM<{Ss5c`g>Sg9W$d`YUdIJOWvirI)dyox*iB-uHs?Y!j#<l)
z>q~?&Zw==iS7Qjc9CA|m9Vf2c-&-J<#D=9MSB=MCG9iSV#^;>EiEoF_NRU6UqgAhu
z`-!zoI4QPzVc{?*p4_C0<4jJZUp{&-_>B>aZu4$-PvArsUispPVlFJ2EB;fy*$B3a
zx>r5F&xwWA(d66uBovd<dg1?t0o@Di7P=f<Xsfu@>_;;INI<v059-#+`CkoZKwzF^
z`GasSRH5|e4<+*A?%u}oL%a;g`e|W3!p)6pEuxp=efiP)GPeq)kPf1E9&9Oi#Eq?6
z3AxW(1Tnv^bE({(4knZ2InnbZ+!r@_&o_L<zXsp-92=oQ*z4}hhjBa@6}^PDy&`xd
z<BQeHR2r1zd3SkalCd-Uk$Swi7@8do%^tR+!7Bz&KmR*k+^#BF^<k$t?h7eZJ~d?s
zPwP$8wGH`Eo_4|W>1zobxT!c@y3Y_y)73Apt`tD30rd%Wy%bt*+;Dc^i~+D6t4UyP
z7s70>*R#S?6s(rMX03410Oom>3SwkMuqWrEmUpEL3bPl!+hAq@`5iScJ>^8vxzum4
zC0!1M8>=3EnbC*wu+K)@jKr|{%GZ0-ISN?oSAKG=Ngv$F8?$fi636$9lkPmvl`yQz
z(WS3aA2vxyz7H&uK=+JjuWw`(%sk^DedMt|yx6bDeOFWpbxC=tG&@z?LyzhD-lq@x
z7ZjQMQz*DSiof&R1vShS>AH4H#Q>J7UvmZP%V269t5tAR9W6YM#a>P_0IqvcX+lG?
z_~&DFn#vX`#`r{N^(Y!b?&}#*zo+upmdlgp-l~bWM^bK%4;Vt!e*0^0OBK<iEU`*q
zgEmh8mnHikhz2pwcq)^;l~I_q>337N4rcs#7dW;=gHox>FWL61;5+rPw>o}$XxcDD
zs=H5z@E@*aO6OJaW0^bmnUDHd9-tvFe3Aim4DqSV`)c^f)W!9Pqal*N1}teDHi932
zSMzP{Q^yFSHR~4E(eQ?y_v^GICJgrbibs>FxOy?);b|WYuNd>F_n<MDcy9j6plf1&
zzT>r`4Rlma3wNMMngaPw#jn2gT4)t?d%2*9j%+R3q{fqGKvTRm!?r^kzdn?D@}h-~
zZ*6wHJjG`L4Rb>s30^w*n!U*ALn9pzYc{`~%e4f__`&#LV_lTz9t@sOqGQeUM&7{{
zevQehsT7at;*JYs8)s=cw#Z&%#JsVAre%A-f(Sj_T>9Sc*ghIwbi2hHsReNU?m|N0
zD?KzkJSF8LWr*#$Ih3qkfKsbW?++t-7!!AagFLN=etJVU569R-3SBtgxLFU6K3e15
ze?kWrx@24}+3dhWkVWqb*Td)=7Y#JJG?CTzhGSKb9hl0CEJ%OW#n^o|vd#P&c)L!4
z8B=KoLFVUuPf~O-_=rn(kclcL2!B)B-fst|2jwDj<aJO-pZ*}aUlHT)a@^q<vxD(}
z7cGMRXkn~#=%eK{8T4|yPO0s+gZ@nE1i^AmEOf!)qvaAf=KNQ7Y$booF9RoCH!9j&
z{<@I7Mg-08R6N{q*bdaz{5Z4kqdJ-^MW(%IA)~X@$Acz1cF^1)8YZ?&4L?_wJT%hg
zz$4$oLbtuOg*_)NH|GtjV24B4L1UwNLiF>{>Y$Jn&nj2WC<s$V)@Hc@C6x)nEhkU#
zD3>iTRaw`R1r@O?*YV=tkDrOBGgH~>Spd?XGOwTBEQg;0WA`7kd`+Zh1zro%0Vp~y
znZ#Q!jehUR?XC4iEN&_3?BeJZZ}N_Hv-Xlg+lg-)gD%Z1=})`f&ga=cx>~vUqJjic
zHAk!V$9J+mPHq`o-)s$Jo2tUw!Yg+yuRCAQnQm6cMT?mm3sx{|o0+xGPy~OhsWAUK
z+`|%mw(560!wQ@}+XYR}3E;#VLA@Dz4{Ma}Kdv8Y32)EL-O3o{MTw*by|=%9U{TCB
z7gyc00D;Bph6RQ^xQg5Ku(f{&tC4JXpZv!hCJ*f@v#sYsr$4_d&-1)xNsyC&{IfR)
zmHc;3^gIqU);gPCpxnUP(RN+PC&LWLwN5?r$c6@A+@kYdR<VYUBpXcsG=*=eOOh;D
zBG`^?%@$hT#JY4{l>O{FQ@BDtSebO-AK~!bcwc^56`|yzx%XR%34E9PaVU*EPaL~{
zKWXc117RYhHTGWA1d4CDSlwNkC4A#Qi2QMRM>O}nu`oPp3>_)So}bsw5bNwtJo8uh
zKzLd02!B4xgzajJ!t<Yh6H?w0?)}4kMDFO;kpn(V@SGGePa>v>tz5fyw|jghZnbCi
ziFFvk<ALTs^SzTqXLRd9KI=hZ_KL60c~>K_-zC8lMxP{T1Jdd-n#07?3)(+xn;B4B
z9W^oVWP-Tyy67>N{3yX#Y&W^;%7D+L28*fi3BoYW<e8`PPogrNyOX<v4uXlNgGrtf
zgktQKk3k9(M3+F0_78753@NRTR}Y*ZHu(w$(;iO}l2kPc>pKksT-TnMzA{13pu)u>
z@HZiyw8%agMT0b+;++p?CJ1-mvCcT%86rk|?a(Yg4elTItYC&u5|MoIU#$545aWz&
zQi_8i$SH_38^x!H=1DC5&NELil}}mJ9yWl^v$p5#K1>lEuB~lrwf_<C0`}dFxvvkS
zY|A2Z|NSOD+mG9YhA$Gr4<5VLPU?ZV_?5}>rfFil>(1S0W6MOE!`ZfcGd;*5IfR$Y
z%@7Q=+d1sc>=+rlPu(a{7es{)pUigqL!@YC95E$0@YA_m*{mKNNWXq3EU$HrFkyyW
z@7%zJZ4XzUXE)J-1Lt;Ec^>&oq!gVC3*#eUCckY*d6qV4JsE$~v3Y@zFrKO!`o3}p
z#Rzo%<<N#|!5{tEJC}%`I}>ZXXL#|@&5<;xLt5bIaN*4R4Q%*H-3`~#1<+sj)p?x>
zO(-FK(Ri7{j-K2e(nkt}Q0R166DvX!MqQK>ZmoFxv86#%(oGTc5A>M#<j{o5)8~3E
z4|1X88gs=*@?vN#)S7qb3KiPs&D4`+Na&r}e1q{&9HZ~gM7{tj#4cv;`n~eMT(WXN
zWVj^$9=OV=`K<xUzL9y0L%e7_GbeG?i-LZd*WXgAG~nE&)W-=D0ywN&9^4QjgK#-!
z-}qS#SOjCcj7TAD+2wdnuv`xRPRSJ2glT}~ngXS#XGHMe$k5mhbwy0t9k=t)0S(B2
z_*-?;qDV<I(W}_4j2|;e>8UF@b9$mynepPdZUw_x?^V!CGDnYEs{x#Uk6+tKm&DUQ
zwWQDOR6_%+2b`mFRM??b%F-iI@bdD3fh&9(Sf(IS?|hvKD9y?KlwAe|mg_ylTc{}U
zDdkO+yCz6&3`hvkki)_KPj9P~XrWVf9NFDm3u3E(`tuxAz#Ly2iHo^9cy9XNdmmqI
zsBAHQ7dEVf0>>@-H{Q_0to*Y1f+ig>sy}RLYNvwv19TqK3IlYT^bFq|rw2(~Z_X*+
zP(`kKr3WQ`G%Q})n;dw-07CAX4arKV<6zlT-S7@NN;_6QIdFsqDT1=acT+Ubc2T$B
z@g@cyEpn+|{zQlQE6JiuQkqzzt0fy?XoU2kkM-xGj9{JVK*fz~TBsA=S6w+|gtO)D
z-&Jgl;VL6qKT~1F*Fv9%><DFI=jl^J{HCU0Rg_=IxUk}PAHRomJ!Ya@o_`W`qdC0z
z$~?2{vmSP}xA(w*OoWQA%9wMOu#1~iE-GYzOELo<A69ZaRNGq(TCCyCA<l_fk|FAC
z@~#YMGQy#cxR#9s@ZP*+=YGNvBj5gV%4=evs%^piU5YKtb!={bE=9vbg*A1u5p)dP
zbG7T7s2zm!<fR`~r{S|OsRgkTL-e&#Td4YO2fCDqfjAOvWuCT&+yB+Yw=$PJ)U)j2
z&GT2(-Y7#Xido%dx}=HLCtE*9P#hq}fqCO|vH?DD*qy8MRSnzR`FoBBIKY3&ldO%N
z`Z)TxGw|~*B}`d3HR+w;0ABaUw-gQNV#^D|`^P6JcwyZ!)4vf8ka$?;>m@@S)GpcE
zyrx?O`&Kb!yuksSTgEDuwrJrxFW0mGDBSotx7(=dhdo>_ys>^^7ZryODx6;(HBFG5
zr5`56+r!w7b;rARsbka72cP=bI^y02nOF1N_Hf%Zv^s95DmF-;e6ZLv!YU8A#$z34
z2fqgzQ-y<-v7dc}(~UgG+Dht+IXGhruI}2N8@Uy*>~ZIx7yH>@RpkTSb3wLXUeWw?
z+Fu6K(s={Q$~fV&);fy!0KhC=(D>dzNt9>yB}`0m!_}eeXK%Lx<S-O_CR@Z%E41wG
z*$^JMeq&9H>RlG7UfgzcpiUT*<dP1gIFq6Lkd1xFLmMDH8n0aw$cK+OcJl9kNCtV|
z<a5J~)^N2r?ZuTd-1tC+Px^5a8QKnps_y@01qTFm6zf&ku{Sp4QCvP5%KGfzUlg<g
zH(HQ=j>li(NI<}a?#*OqwyP2-Vp+mHJv~n)>)(WOy6g8Ne|SJKY-8F|j0LFowJlzG
z{+$pFN$uL3#sjCCM-4`vnZvsRqpp^=KEjdyV`G*n4<uOeTR-MAhl3@KNuENr#BoA|
zZQpkid_3Wu)a_#i0-U9jxeoQLdhK0x&gCSSGEeKOuQrA9B&Ck5U)`*%h=C^F6cYT}
z(72i;Z3@A;eLGX#2U%)jJipA6Nl^4)EZz2)2~ZPl;vX%Jvg{(u`A?ORpj)oAR&&%C
zw9bdUsyIKv+Lw0e*Z5Bo+>l!p6tm43bY}P6ZQK5v^|XuC&#{3Ao=q0p@wPF+k6I~R
z!!^sQ)p=^b)yo6(Cpw677bbYEIwCrkILETfkxmymM}}qV&VO55j3D&O>bts=e_8+O
zt>10s#|yUx-RGw_8bO8ERtp1{MOMcK!<k#Ye9*_?WOAaP0jZ7$NGgTPEY+-!v+0Ta
z;L_NgMh<0wK)34;`(-vLiubu2+AXj$muE6_I2aH$x0pd=aDd6FzX#g43V~Qj&9BW@
z=@432)R`N~3F9qCrrkJ2V8gm?KK_<;us%5~r~8Nt8k^EI4^N4J=j9gz3j;KmPz}{u
zFGhm3Tj}lm|3slT-N`)Q91YS30;CSa@xa=c`k<|f;&AkNN5gLm8uWE>s`PR5f@Mgf
ze4UR3$o|yWrZ#8@A{P&S>?z`dk9VN3{)r^S-i;t){0t#`_uj(NT>>D>y(;UQ2?cT;
z<i}-y7=Qzj(s98~2=t`Y+AG_o!NW-v1J4*hx5riJRTY5+%NP3hQf1+MuTvU_sR8h%
zxhCkEiNeGI-dc-8^6+&?{NlTLeW=k&3T@gc24Cg>-Ag#C2xmeskCEE-;ne+<1IC5o
zkki3$aDS6BJW0#v(0ZW{{nDBupB5$Htl;_~nPVzIiS}iQue={N{lq5`CIz3p{CGA$
zQH2+6F{WH>1`sQ5o-(#XfonHQEMAh;VTt)UDb39Qf{$t}S=^EV-`TOFj(arV=F3Ol
zs$UpD-?I<<4u{CW-afyrBk!ruCG9&<zS|J~2LJ&7{|wiMKh^&i2XK4uy}7vNb%(t_
z$F&O;q9~z-%n(XuT3@9kJDDX(Mk%Y$yOgMYq|#6sWo3`-_3IBfkH>kO_j$a}>&fmD
zU6JJ^3ojB(4SM#dLCEV8;W%k3q=a{y&Fqke!!!zAu}2*qF1mYU-J*isSHqsfY6ZBr
zxpF?+QxpCaIdl%1(185n^da(V0?Zva^W{<>2~G@piJn-Y!MR<xddo)@A(^T+{$MW|
zSPkF3`}Ij19MqbnPw*?ln}?k@g`QA=BBj~j{XqxpE6;2YO^Cpj7bkY}3>9{6!A^xa
zU3mMy0}me_Qvr@(IdT#U4fwdN8g;4q@M6xPVLeq9I7Y1AdWF!yb4qX4<ca|tS}SlO
zl&ist*3DJ1$29QPl3kQ!F@he)nz4u)b$IlK@MyA=2HH^ttsPg5VaE!l&`_iSxBRZ~
z^E{!!xX`;0XQC+_GdVlt7p4gdAJbDP{xqnv;a{3=F@u;3%F~jPBzRf+;5q!Jf_}uV
z2PYjdIJvgKGk=`~0{!~?eh~l7YjNw_;$eV3?^+k)XA(q8wH`C}CqrHzI5i7cz^K5S
zZO9-ALb6?|v`HigH~rC-f7b#K9_A8NLjuc7n>Ac_)xpp%2gxea!9R!aOwfh|wm$3J
zoU<yxcK%_EbTS?O!=xTL7ij|fylQuhyfS<i6Axo*r9&o*bxz1@4G6P&zE$Q(fV)v&
zXL^6rfzIn&dh(e%Wahpmej><%l(t2o$|xNiy#JT__KF%b1lKV7tcb(t^43gt7ai_!
z76rdEQw67kv}cPZ!qDwpCfZO)hqR<NqS6;4<hT7E6=vXrmEuA3I4?T5hH6G1^i_uR
z8uyPcZn44sn*}z1dFarbI1!ZeZy&}C1fL$*%K+c(-KyswTEI<*=%BVB0w_EWAG~9_
zgt>AU*p2V7fZ7L+;q^=M@E}q-G%I%kWAP3mbPNE9TWYe_X~;tD_4F^bH9xST%Ow})
z!U4uF9x#iKmjXV$<ZCabo?~JY>nrAL0QaenfMH!6F6PH(yZb%GhvcGF)wD54ch8s9
zFA{}W9d>RS;XU5+o~YdGVGb#0hs;h#2t!-h(VpzRpYelFhPFp8n1QI#=Fb<Ag0Q#h
z@}2I`Z@335%P67I6r4J5TfepEht%1c_BzpC{Hc5(_x79#kh6y`Rx<K{Y}>HtXxCRf
zc3%SXLy8I5)$vrf@N+_F&GE{5k<a+kJvnD}!;RsC(u=&J5H`^5=dpWY^#Pw1>v$2-
zYy=G}*{ug;SfIUFKdQ;|Eq*hg@~tJe5yX<a&gTd)L0f7XZ=&>b{7j}f9(c$QUKM|l
z=(k~jYyrhjj|<B2+9-0xlcxrtcw~k@CVUgqaJl-7{<{=|x*nw|F#|B-=Un{odJWSS
z?7yS_5n(&OC7t>jqYuRbuTC{5tY8CzX7<J@@35v2)8}@Bdf;*Bj%G*35*F96DQhG9
z3G;5N4HR_LgD7fRgZ27fjQGQh_4nUzm>{OC$JL?>GS~MOTU9P#^onKzy`vwqPJXk@
zN7IGz@3Vs?h4a|Y>uyCuoxiX<_4f{Mm+OGH`YeI>!yG2?w<O=Ic^I?btSWw{tOHXY
zIX32u=dgglh8*{rG3?WKGY*|nZSYkfC8vCz#Waf@F0<B6U;%D3@2pj|fipx~;8Ec$
zhW82*d|ppu5p6HN|9U_J`?HT^q%vo*S1A@X$!oLN2SRV{iUAEI7i!<G)y-m)sY$QW
zi{>$IpNIRRUs0j!&-Fb0m07I(Uip{$1AnnBd);Gu-KgMqez}0|Gl%h{mhb1JE@8~&
zHywC-DB#6%K2c$M4*S9&t}`sZg85|K%VcMvKwDnWCHI1Ptl(|%p>gUO#=2n}eba~x
zVLjFL(_sskYu98Yv)=~h^!&!($B|l4%>7r`&;Kv>wT9Ou_{|pPY-3^{_LKw-XQb&Z
zDT^4x*JbKp6$ALDUD5f*NP_R@l(2*COIY7p^4Be4CWzAViRW_G1h&G@-kLfqSUGp%
zx3(;1c-h1}Nxr861+KXf@$IWvpG4`^2WG7B<htyscy<k-i?>dx{I`xNe^O2i;ADra
zsBj6}Aa&3T9AP>hw}}n=X}#Fo;(+0!k0nNW)qp;bnzmiGjh%b=vHFoBHzcTVuJ-I!
zgJ|6cAkNGPxarMjS~0vJH<_<d)ujrpDKRg;?O}p`eY@Qcm<8amonVprK2`ABx!U&U
zIWq(-^N4}JAmkWj_-jq5z|R}1y;^RpV140ih~%sgsOZN9yuYLZejQw%-Gc03*jntP
znkNEVH}pe~=&1nZ_L!vA3I_~0?Tn2G5`&Dm%JPI6B4`YT85{C)!?_2y+++eIAR)V<
zjJJ^pe*8@7w_JH4@63jWafTF}Yu!ENoJ9n6*@pO>5Bwm_s36-tEd#vQtQgoX6G3Pl
zTWhu!gf+cf?($f9P_f{>=5dn<_JP+}yPpez9fwpfp8^5SXZ7w8ZXp8K<x;UHheRM)
zWx4z0Ek$T%Q3y?ERe}9Mg%#%sV({lxgw%k(GVIguVi*fofwn?!TNO?TxR}*f$T~@c
zTW1}Fe(<V-n`KL*nuHX{cNg-PG^qkEeCy5ZH&swd{-Ij9O9tc`Gt!Jp)WJ1Jzrnp<
z4Qlpp(uN<(L9MM?(BlG4Fl{^k=Oa-A#B^g))bbS|;hA&f=3Ol)-7YLmc&rI;^`5On
zED%6!D=6byJq7x8TF-=MYQe!TJ_U>il)xxpEFra@3Ky&2wNc(v;2KjUHvT~wY~2bh
zu6(0G?uE}c!gOii{L||=yQ>PU?dI5h3~58dA+xJGwc0>b^BQgW*Kg_jF}K1?I&iQN
zw?FTr3m?uU)qX#q4n1l7iD%SxVK-BppCahPw|$AsS3YS#ZC;;U(hXe@`#f!Z*Uk_u
z?`R)6rBC`d#~-!9O}g-u#Y$c1q%mB2J6yMYN(<7@u*P|1>O#De<@(u&rttgn;MK2}
z$WY`uKVc@L3!S*8zT2!hTs2)RtM{dVfU@GOfxQlheTqJub`8M0$843pL;+}Z+&wI(
z4Kl~w$w8SG5U?%!@~SKq!kCgeCrhbt^^HJEOgtTO$lP82qEukm*Ohs{TMOFL2I?Qu
zEy2vIeeCuN3bbt5$4#xO!=TPxw%y+>LHL!c`+H^zWIB9wg()J4RDUF7VpcFTL?~=t
z_*bvNzft{#0BXgq7L1Wrpjh^x$T5!udL*I5<1eMbaxY$>7;6RB{IWrlO%v4LE7Z>)
z6oDl3^hy>FD|iwSko?#}9lYI?dCL!QLrVA8GcKZ5aL#;h?YyTdEXT6)1nk+ysx2j*
zPCd4Sr<O}QvwVr5kpIgqZD<5@4Ux%ewXg)KAf|QjRf0z*_e-8Pe#CFTk`ViY=-^S1
zI5l(h-<~)%jjM9b<Cjj3I9)TOgGnZ#_RN$VklnQ!W@sDu<%5scj2>9PtA=M$Hw>h~
z$>-p+izAFk!_MB-Qqcl3F0y^hd?XGBqJs8B7O@~VZfOp-T!6%@ylqJ*M1aTDd?&=R
zp*o2%Q&us6Gsc~I9^QhW(Jn~yC}T%8*FyD7$QbmdCEeMh&I_^XbG3ce94ID3?89Lb
zbJ)e^!@(}V0o-ZDdzBM8(22<lvqdguFmi6Ra3ho%atCdjK1Xn%tY2m+cTbr@{;eGa
zPN`eiGV@*i!$urvKlz&cScwU+zpUq*=3mBATT~^|ezBtm+sk?ly~c2P!QkE-&sl8m
zc4?7J0z0a3qOTp7GKM@EQSaQQA?(^w_3<D%c2qs{n`Y~41ftDi>^yv*un^%P7n#>=
z=)ZJ+`jZ+%D75%>?ZWOWm_+LX@q|P+bo7Y7p$3N`Bs4jTMH#=x4|Om`sJO79sO?A^
z@u&eTHR~N7DDB7X8gje!fejf<Ap*4PgHC8r-sv|ZxO-%?T>DNo<UX^~s7%ubCy@e$
z5Tz+R_(B<vS~MFXB8Q38+j=mclWtuaJBP>nSuBhG>!&f|guR8Z9tfR2c3@fiFJ6Co
zkh);Rj(pPO3&m4)0rSOj?w}=HEw<Elyqg`dc>SuM<J1LP=dF}R>MAb1db*PD8V7Rf
z%sSSbsso)?pmzAmI^Gn&I3F3wiF&g88A3#KATq(7g@0fZkJyZ?-kHpW292V)xr?-c
zxy!uxxda31Zo)ncG;*WJp)RL<?SKEriUZ%86(cgO_7`~~%Zns;x#$~p(BNtBC6BAo
zOo(iKM*PwPK6H+olE{3N2JPm8Y?@D)QR=S)b*lOTNM*y<Qk{(k*I$Zgy0Ne#WBbS*
z1hOFF_wO?psiZ<~-I!6#VK!7XS+6sN2_bpoBS%yAQz7AkcIuxm?8tyCbYdt_7#&E7
zkT}dk1-C1Qb7zilqRb1Qn$FaVAlJEkzrOz{Fi?<v^BpfY()b+IZ73&(Z1#S7a)_4#
z^GCi*J?r5?wyWJuRb}ERmSXnnVgVV1bYhCPaXwV)7TOx(B#ADBjJ9<H8D=YY<P9Ac
zK=+UExNk{HqfHOT#Q8-nAZJyC5YGvs#DI+ZPdQ~#XJGL6aa;>{L?3ZD*9)O=hULU(
za`MPWKl>SHkrr&0Dk)8D3!@&sOY@_Z3aI}li}K$*EoimY@89PuiXJ~~>Ae1vfHJgS
zys4<uf`TjiOMmu>AvTs*d{P7@w5zzb;>v^;G|Xm=oI53fHYCqapi{~ycTuOw)0PbS
zcDq!0HKfoN#|AR-ClN&oWl^-=lA%R$GUMH<G*Zi>SW7vpqQa?x_M>MgAmuszK5bYQ
z9bGQSjrpL40ywfYoyb%`r@mI6oRmijJ6m|>_G_TdY6@3l0~KBt9LwC#MnHd+_SJU(
z(nLK4CyCm=G)PKrn8gW-XnXRb;LuSm#2Yzt=CQgqFb4kV_pwnzY<cVQ_Pu1(dApF~
zlb{Z~sq#vR2~$QXtM-FWrKrffV=W_8S{F22r5!_V6H!>7nsfeRDw4l*&o$ac5BNph
z_P%+mf^=U{Z;Bew(74clAsN^8;XrvGJ84c8IS8efvSriIdtKVkAFBpHGOPLG$*GRY
z{3<`~>ZYN;=l7n=I&B2i{*Lp<c{Naa6iRdXLHqX(KT8F9O~9U|{(9e{2I^528oE(O
zL-L`!){DzcLD$REfY79g6r<l+c)HNgOgPu^F}gV@)CUH2?Ij_4x|^a$BNh4d+wz&e
z$KZzRyfhsrp%ufL>!zP5s8*vP$fOv+qkDaTd!B^ubJ?(5@6<wj9KH(<+FO7{lBsXV
zI0>EBpW*I3sfkz@-qv-0vw%y#mZF;OkdSqQoF=VD4e`3{dO6`p2krlUYsIUQP)p>)
zOFX<PsNy6^II-lP6FW@%Q$sXSwXPS{T1N?8<1@2N{zivAGzY@lWDTVJbBN65t$-3e
zv_Hkq(qW#%m$5fM9i4D)z4&L3G&=m?xpK%j9h95n{BlTYD8KvLVj(7mQvOqA@qI&w
zTb=iQ6n3kiryG;(`%47Ti`EeVxePjN^lSWn>Pti#h4lnpX>KH_w;J8BlMZ*qznnfi
zri2E1p7&{Tv!K$1M?sd07I5mp?K`mniil+4JR`2Pf!`1}J)W3h0ex;X$>kXZ6#9rE
zJjQ1pXHHd|Y9(2~FztDc|E3(eYW1?JPIwrPa8z{cMgU2}YX8mZ%OKJ7N!%wpx^WYx
zc=lh;03-vNz{eYsDB<viXzlH@n56Wh6D}PXNZ$$1ah4QEHD@|H_piOd7IQLRcTSsw
z;D<98d*6s4mC4W3CB)Cz@B_1ed2w?HYB{Y!uMk3yD0gfx7=6d$e0Ayvtj)mAZFGm=
zQvo#Xcwwa@@F&Lob=R0pj49A^4L_xf@}eHP+xmj%PmCjY{b6ja3EWSxo@IH;g`69G
zf~l$BF_9t9`CD_wkaXi{=gXh$=!A>pa&q8T?0>Qs1`G6!A-aoIRLqqXon|MTt9Ji{
z6_F8#XQB~wn)X$-iZUZ7#}TLRq%KS}_nKm1w;>FSmJT?}G9ulP)6QY7FEO7KpPPEB
zh9I%cl^OVE3+J&_$acx7!(w-S^chSvfKannedAs0xOaH$rr*Q`{Om{t^~9h)G@e^*
z%z#zgLS@f^*B={j8)Hk}0&9J6@mjYE7Fx!|z8Ch_?Qh3v=1WHQReF#qp)#swx`=O?
zwa*sxb>l63M?yhb56%(I{-^hN0dGF)ue)&m3oh#0*6#W5PObds-P#p7k8id`p07~(
ziHF|I3yWgZg}}azxUExjc<;rb>N)R0yiLN-CH%AwBq^(GXVlK(l~<g9RZ@oV!xhJB
zwU@Plox{|hq%@1~Z!R~TVIIZD53+sBi_!+UKj(OiF3#W=1wGc6e*M8cc)Yr^)@kr^
zm6AKGID-eulu&CvOyV&`kEue*G%&I14Cv;c!TT>Aa4q;YgWKJYURvR$!6S>}cXjqN
z_zUxoj^6QecsJv6oM}E4%ocqPN4}fEfA(Lu?NDC8uPiZN?$V;dsiInH+KyTLl1YIL
z)8Jox*irkwQwjwFgsx)0-_PQCCJsFCbP118+Q^A|OopHCEy=CXb2vfhf7{DdEBGE}
zwmkkxEjV08&oQ9S<L0_|Y)3lQ@c&NAvkI$gLC@Wus1~gS{Pab+>!N&{`1u*lCn<p>
z;2rcAw=w;T3lr)L#}c-2p7A#Gh<Z)fA>QSp6S9auQVg^a6k$Y~U#jSf|MIAqY8r=o
z`x35ADV|?D$Ao%z?Kai)(tw1rE%ycc75sYs65+fU3$l^*y=v2}4jD!~T+K_XxC@h`
z$c}fcNbjW|=S6}#gx9W)e(hezKP*Lvs#LI}T|VS_%d2W2_;-DFtZx&)_bO!6<`E~7
z{Mk}8%%leSCPUK9f((ep?H;5#!;MB{wR#ugRpG^*43XhojL7)4xODj;K2%-lJR{1c
z3JVdWh4LyUq|T&4k4O<frXz$A$xIc{+OAR{P+1Twv0ltzT@ck@^{QT{s(^FPcb}tQ
zSP{+PYcp$xFj6rey+8GZ2un}<Pk+42j?6vo<W4$^qKfq||M{l=bD|ngFkcxb5@~ez
z6*3V=#_GxMBz6-)RMG3s`Uh?lL=ZNr*d>X=SG8ZO5{VGX7OdW)$A?bOn(gVoA&p);
zm>l8bBSMQKW6wuF0TlUl=i(DCIb?c6!K#&)2*aF>i8(!jNZESg)hSN}^p&rD<CQ8A
zwnFEN!ww6hV?_eap8q2t$;XlpsNO`-79M5G5D`UP8Jaz~rxL0)x?I-YL<F%crh4%S
zF*J8f!{Id>5yf51)!+dYxL_!h^Jz>1G1RCty#AjGQg~VEX}q8U60ECfCj8P!AG>O}
zRi%a$<!e~>{7?nE(sT`_L$atbpXmg4R|9pwuFqU!Qit;Uj}Kq?DvuuBOMCxc4GDS3
zoqBU5L<4y8F5i_kBcKyzxBiy4k&#r?p0*`*5`=q;`?nP;qUj4!i;lrmbV{Hn{)aIc
z?48ohrbU#Ih+I{>UN{YDwMG|Kxl$oYn9)u=lZc4rQ6}H~wGpKuY4&sr4SpyyJ0Fr)
zMITF@!(HukP~UsaF{%AJkmVFA>s+CR@;*IMHeuF9HfjG`ex&j*4^Q&Cbdog?TlLv0
z)~mWmv$|<3ThRcdlMkeDmS`gQ&@1@<yDswWD_YO7HUj$iKq*=$A)9N1ilGC#=xg)F
zVBR?sh`hq+Q%EAC%LOt@pRenp_Z&7mlHQvEQHfV%LXCo$pT{Yr|ItC5EH9k*as#Bj
zdYS1yL_s&RGq0GBXrq`J?Lk(81?)W*b&OksiXfNsP<$#4dAJvs$H>tkcr0~u#(;{H
z+7IkY>!ct@nQ+ytRXUtZI&2ptNku!p^+Nz32_?04P!uXGftA8_*(9HW?q8M~<YZDq
z$KJ`m$=9%g1>s1MsE1@!LV4fX`dJCNcYWOTJK735n2)Wlg=?X%hu2p7!{m|L%*6!7
zOe^SQ$@q5muO?EB=rfbPEsk6nNV8$*tzevU(VE#@12HaTcG;g4K$o05esS)$f<Rg3
zc-%`372HjW6IN$I-}5{&UDhn2e1|cG^{5ImlvD@_51hxXF77O5x?&0VtI+X-Udo7J
z*E^p}P09E$(SFT?-x6A$aLEq1DI$Np!un9#DXidj)~!bu=pb@sN$~YP1tgbu$t~Ps
z4Qq%g6E|D8fV|zgj90(Ppa7la2Y)Uxg0h!O`$UihJPP~SL7+&YVecQE(=S+{RHR%x
z=NCW?gI~!^izxaL5w^<7$PR4JU3=9%0eC7_>Rc}iA>X=e8HH0E&=nPVJD~=HPYqVb
zK56lzzdhcPOHQ0{Uq_4M#}jk#D9^Yh+0Ka;45Cg4)^dVN<Q}``4m0TR^kjHCz=8x_
zybJuFa{?0aSeYF$1?R5U6K*FN&>bI@c1ji}=twYztnisa%EnX4YZEIt%V*u1DSJ-X
z$U0P{VqpTOb+epyy_&;gPK&l3pWpyKjj>5Q))<b5ZvBkFM{u&hLU!pT4miqd7|ZqC
z2r{3%58k@{8Mly}6T3#?fCj$5P5XHN<<e*0jwSmQ;lejgsHF|FLrLV!6rYbFY*>^o
z)hNBk<U%E_8Ee@=c(ORUtjPeDzt-!QISgQX9*cc=n8OaN4T0+SWDFq3w(oUX(<rta
zZQ)HSWCz>eQM<<Ee-6!@K42L)jZGYBjFxX_haS90`oCE{s4q^NQ`$d|Jxh`QdP$fA
za$X+Q>+{uvyV=B=1fxYv^w*_@)npD}x__$wT(2$+jMU#Bm|VtW&sM}gk>Z4FF<+k?
zbk~KLiORD1xHarrU0Bk{S5COeu2kUiO$RP-(+uL*Hn3Nb(v~GS7g#M>EFbXJ0WZI{
zka+)XEUz}tK;k_&JTzI~ab{8*yhe)Sa>p6Kc{l6#tK7VxvQ=l?bXFS%w3Ln!l$ao$
zflD<uoDXbv<aX(bXv4cJV|RUhnIYHZ(5;s&0+3E{kmISQ!D5BTkZvUlOcZuoy&Dw(
zm&F?MlY3|oJAGx#f`tuU_E`1*{w)Yca&xlotWbe#J!eHAm>n997pfSn2>~(KC2pmR
z3i$2#RK6(=__E`m84pPWyedCxbo_JZ+aV99jB{M@>Z+4Iep(bVTJ|tp6`}r<e+}=n
z0S`!)%<X6z6$2}O&pme@P+(zSy2?Q=K47pO+YuHa0qLen>#=kSNKA_zlHBHp6P0<D
zI~1khc}|!=@edgUWiwCQ<q?GN$%>@xd1<IGO^H5QLWWT7{l+|GA-K16H1h0-EJVvm
z?b;De20}D}+vKP)Fcn5V>)w)wOVKvVWKS}5uG#b!)QLbIn=u=M905|^`4L|nB*UFP
zcGF}jG1$P%#ipDTVK1fgAXgk2vTv8~Wy=!>j)SwtwbzxvqPXAVI8KJd_3ejj`jTLr
zdpUjQure4<d+DVSDbV@s{%)R0DWFIm>)^6e0nrOwJ}HkVP%KuOM{1D)M#retpeL#j
zDR4Q}%8&|;0m%=?%H@E2J9%TCq7K%I^12&U|MJznAth#a1sLxdJn^Se1NPrE*_#eD
zxRp@TPdiG0e5)E3TQw4-RuF5rW@wN;CAs^^Sw&zU|G1f)s|Cu{SG}a0wZYM*q|D=%
z66D5;E}UN@!;H+f{%W}noMtKdBK1NU7FnNh^~h1-9&LI_vR)TJA$d>VC=sk@#r)>)
zQ^C}MA!_=U9(?qOO=IU$g|z^VLLoUCI87@3&CxOd5ci!`Qc{B-#R0xy!8FJ|S`}E8
zZU`6H80lLib$G2E_x@BS4a@>xYpwDaL&WFfVr>c<z{S33VRDTIhDRNy18<r@N9y8f
zr)3RL5q_p7=S~BODIEm^B{Q(xkmNmbPZKnMP}RN1sGwM~>BwDa4wsGNkUo_JEBEc3
zDlDmxI{bW}s}KMO12w!Wg#>TtstF%HlR@z_Gs~NQK3WY`JfBiVf~3?%pSK+(czJns
zVAazC2KJrPJC;g<&-ahr7Z23{p=C_isNVu=Ole;6MkFA$9ogObQx$TSIU5;m>5%X5
zXTnsa2~nv}!lTrQVC7@RV|bko(j3PW4W~3<YH{L2UVtKe->AyAY5C_$pI5p&Hq=4Y
zYCqRpusjHF-p=BCM+bpC_cy->)u3}T)Y8~i3goI^=hxtL81sMb-dv^%%WeIgac4zg
zr{ufykVl8d_ZU8l?^XfNy8>~$)CA#Md&NC3UpnmYH(+r1qx{e1b)wl7TtK)-%pR5a
z=T>|R?Tt|a?cVQ9?}b?)oS7J3{K5jB@oUYcuq%RNi>xZ6@Fqt7*=x>u*aEbobG7Yq
z72rnO8O~1|3s})+e!KD}05bX`%N8sL1o}$~7X1gyS?hQndjo(mg_l+4r8F$wVKX6}
z{ei8K&3whw09qU6GQ-Ry;fPSxgZmd=V>3jVn)PT5b{vyse%2=j47chB1U>fPf%Dlp
z_e;#7cA4`n+kFv;z1+d-V~FDiJ!^(Pbeq9wvNTIyi4goB0096043~F2)o&EX?Y*xp
z+3w{U*WSLzDv@1C5|RdzQdwCgD<dN$krde#S>-;VLKKR`51A2#?EUla`Qv##&+9zr
zeBN(fMW1gOPOapN-UO4IG<s0x<#H{*jRPdYi6=f5e<ELEy8Z5`t}e`>6O}<4Y*0B?
z%imMhPPQ$)#d$wa2doZ*%4;QN82HC#Z+7AXIo+@K`HeT)aNi-_R40@Hk}2f!q?a1W
z{7fYcvozY!%o3}f#7_st_VHZ_y~Si<y0PkBTP^6CILY&FiyEr3SA2+m*%(RkGd;^Q
zO_1^!ohcBfg5zFakA-o)#pcfp&$#SrKzk-@Jyi?^h>okOpR{PlR*&fYe0Wj=PTpsd
zyl%0JS@QfFd;(uFd26?O>2K9xJ$P%gWoZjzqDxgC4*h|>s|)fGl2nJxuRcGDH#RWo
zla^hQy(1W_>UK0uk{aZ@AAT2azmB!|VqRqj$Fa;WhI6vJsz3<7B^N`rhTUdM6Cj<O
z!lb0m=X?99!V6>ds5`4GSSU`f>fYlS%<<#h*pg`#n7J;Ht}eHNA<hc#`Q<r`f_F!>
z^Nb2S(2@`0c(jbwu+VFd$Sq(N`oq@sW6EHz?(b!Ncp1Z;bxr*Edl8diU)DW+Rv8lH
zeNHV%EMuJ(H5YtqmN2Hx6@1C85-i3|y5*6Uu}c8~zQOlbu>8YzUdh*#Kuv7SukqqC
zW`BT^W;T8eyBXRUMMJFw{v0y0mR-x3^FNJ7&W9TqTYiBdMH&edWIM(dPOo6VeY7s^
z(-vmOxV{-iAi>UrlJ7A8DyF_AFXAP#i>0__Ptivxf`!@Jx5JyOSm?vFlFOD9U?ZDZ
zAy%sZHay9}#&qjgvYWZgmjX(t9A&I_U6lt^MChK@*}z;=;`DlXsNsUR^TN1}Je0Ok
zV1%4atg$<JqM?8WSoG4mzsJad!28{_pTuo!%Icue$}u_!8{oPVFhqookta*Ozjv^P
z!VZ2VSq7l#7Ov*jCPL5I;JT{8J&gC~&XOyE3EojgzURo5g~^}_{%A@{a9g(d&|t>`
z^dc2azgc9##;j>fL755++A>a~N;Z%^P`#;tTL$=lSgFuNQiIC_Ujd<f4zN99<kv|n
z13@kf!@)~50F$kq>5N=p@}|usJcR%axACSHv2<|D!_zY09u63<L=dkM_v;_Be)=6^
zfb0ryk2|_NV7=?jvE7Y_xK(O*2?Zv=QJ=8NVC4gr^RrCV(Re7URx|21Vu8V>I>A_a
z0SNS#c@S-h2l;ZTM7?-6VEAttQ;-*eoL{e%>IityJ9jpT_cjLz;TEP;B80)X;p?w;
zemoG$!){xRaKbcJ@3KcF3dQ=DW_`r*VBB}d-0TDnRNDvl-nxiE#O4#B52kp~`ta=L
z&Js6tG8S$7eG>;G^0#uMWIPnd+^aKq!3+1#pO01ZkObKzA;Z=kJUns)v6>WqpuHbt
z>dPt(P3?nY1NR9asm1a=KT8naymWR-|BQ!{sMe=X-DE&#aGbXJ!vWyexb$eEKn8?^
zHRPr|WC0b2;`s$dz?{{4oaHVNgujMJekvrwos`QCHf^HN&uQ8J?WR0LX1tE8QIZGG
zX~7gGK5^*gxKz>LrwGq}XeW#_D#Ax$dI^1h3CI-`I&D)<f}BCPb0M1qg4I{z7ltIk
zp3&6zaHbLz8`XX299Dv~&8*E8D`{w+a;-MMqzq<cTJ8{Q6_}<RTWo8=!(I*xW0JHA
z7){9@7FbXP|ET0o{%SICfh#dj{k00nJ>V?btXBu>rikg7ELo6iRCzqhsS0T;$;$Uj
zG{M$?&D`)85rQRF<6kJK!f+Uh<*CyKU-O%{dvNlg{D3oHhe{Q^Dp{x$zUzV`X1q0w
zQvh++`1O@&75F(K|J!v{A4aOqJS6?60MkXa@)h;U@GpvY%q0>){J?H)th*xg+lrY<
z=O_WKPAxwDh5^tQl#azeQiNuDulWXb61;kQRz1$f5azCHUQLWsgeXakj5WMG950#Y
zATSugMPEyHBS}Rl|H_zU94`Z*g^Sjn=|=ECI$52`M*+0?zI@twD+LZ^go%k2BS<uR
z(mQoQ9=Ip2nXmp5gVdL;d;}R|FnjG*&nY1X!=*>`)0_{$0UsT8A0=amEl|qDp2))V
ziq(j{D-W!v<{iP~j3KlwW1x1G05cNATY)$>cwoVpX!6YnYRj^FJZ15a7tzcnI7bD=
zw1!Du!A4;Gb7peIObQ;qxvD$a`VTvpUDTt;ZUjT^C&$D+B*3vJYk9NuBj#gX<o6@p
z5LDCV`SioZKs7V{d3??|xq0i_$53uVQ2!ys+h!#KEz|s!R-H@a*@O5uUP%T}nkSsm
z)hq-7wOk=rUAD-tDYuUgGVa$syU*2o^20h)B|Fz;3N%rn@=y2<!11?*Yatj9T#i1*
zV&y=Eu8#8DYNQ3Q<^E!2V#@`aR<B(DOQJ?B&kj{M;4oP4*PrP%V29_lA!Fh|gLsdP
zt&t`5fnt>@>Z3gq+<5k-IXIREnRX8L(|{fXQ`0iI{-lM|?6ndyF*L~S^-ux*SzQoo
zS?TrvK?wno+X;{DXb>S_=ALJ&4sZ?*oh-V(jSW#=|I4sPjg$&E8nWB9!CbCmC2M;H
z%c&RUeVav%Zs7c%a4~5Exu{r0Q*{Ajs4JA4RHR0f1J(xWHd?^c-hP2zU<!MLeOKIU
zr$WxNg%1LAHR1HpumHZEADB61))AvCRH%-)?&G|y0na+<lER0Yuu#Rgb|WGcDthLo
z?_;F_rsA7{g2Pp0qc2XE1UD(s>>bA!M=I5!th2&=*|~=t!k&`dGfIif{`Ae~@T!AH
zL#Zm2_Aoj3@xdQO6O_oi-|&t^q#ArFQ?<y8m>`$^IW=cQLxmnln(^fQQ-!Xf$Mz-u
zGi1qLC!q-gDwKDIiDBZLDlk4g`RpFcUvgUm-)`(9D#Yyh?NZyQ3S9d2)?r6skxaFc
zLF5&pMtylz>?*D*@ZUz0*oxi~Iq&85S@&9MM9n=~#XPPIMV|*nS9Dg$Dxom%c!LHh
zRP;8OTvUel`c{=fN^4}CSIpv`BQ5eYk(wM>QG)eT{bg&C8)WgZs^xeWI^^?;(xW44
zf8PwLKFmG1MPAQbs67`;k1ER^$w>$*L5lIiW37@qWL*i%5#2!sq?>plV&NqT{^738
z4Cw8V7lVV?H;*$R(@<+<X-$IrhL&|SwG_x{E#uhtEoM}@b$7C5LJ@*V_l;ltq(n^4
z{4I`OSdrj4*CRE`ig2n&E_ZSNoxdI8PFa0rN2mC*+2`XFz`pucNwYT%N-?^*;zi4e
zF4}+mM)Ox5Y;0EE6Z>e<xvIRz5?wBIZSfLkm9sqbe-UZaK1q)}w4JVN-@~C9W|hdF
z-{m0nwANLwJqEOQtj>g<mIu-KvYmP8DhJ*_r`o4mm{8rD+yI^jyr_hb6s@>U1oeLj
z`3#jTXh7iL8$Vlql**T3Ba%mime;X*UCnHW>)jJu36db12-XeKa3aE2_rr(#A~;ad
zkqSJ&+5yD&_hMWsfe7Z`yAQ|IaiVl|`Wn-jgUD-Tm0ZM1gnNw+y|0*X$Rf5{r{a_-
zI+k)|&WeQy4)Uyf6gRlhBU@_S;9M~@+ijik8Bc`s`5H0XdpwA?!=Y+tRUGAfb#@p&
zLxfL7=|!}Kd?;LdTfF0pB(ltD=&x)cLPOQKrMiy*nhAX2^>soDrPRC){%a`*)_auO
z#&$v|)j2XjIslJc-%m7_(#ylQ8!GOnPY5IGI6Jxzf-<N@ux!e4SsqN?%9VFQMG)!e
z=aX)&vdDmjGc`qUzmH8P!;g=OB5jBD1)g9zl$>(9VjUxahW^>jDGqUTCFNEjiKu|&
z4+$9bb1Ok_lAyHGQ3>?<WW=Y<&x+`hyDiT_Hf5j?8BuahmPGM=b|O|~BqTyC6t|LB
zft(j}(%C<xP{yBKF@9GiL{%cCH+4l7gx&p);3V*<YI^3>=9&^p*BGywA5w$j7d53{
zJPC-m<yH4JZ)Ftn?d{HEFAYfY6?yP6M+RlP-_sqeQbzYG#MdbJw7_@FzhIXvi*8w4
zMa{J;Bk8H!i;w!XA^g6&d`k-v6(>}x6g*Z&B9A-+5}xV8hNAKzo+omsg!%$-X)7aN
z#mKig{`wF-eS=lRRvvvnp8AcHtb}Srrf9AU0#ww;9sSWJk1W01R^y(MkY4M@(;jmG
ziEk~uim4S)lyu@dp*;nZwVRu`P_&<eDL1ZCY{?_RjV0;NmU1W@mFG1bF$7=R$cff6
zdBn5btk7;NgJ#b&-=A$WgqqIL&Q}NI(F66Ypgz1ba(m!aW-o07e2R?%>gIBY{#?q2
z;hZ=++MljK;j*8bERVB}U_?~uhj!e9L=gU1e8P;M5hR7x-&v-RMSrfTe7<~M08QXu
zu6KDDfuq56Z*dj@^*xYnIR6QU_?3Lc8?}uf<ZRz+E)I_phMu9OFjmx<R?i-?ZU|>n
z^9BwEN})lGcb5Z8X%H1_8Y|xuLs(E}y1MaI0{tP58v9#ql6BJBWG`ceKt~umC@3$E
zvZWd4^`Fm@1%7P=&vzRDF+4O|`>rS|{ou+`yVXg)caXcm-o*gQ-#?<fIWLTEU(*at
ze%^&;ICAJ!{sK5Lhn;em*`Gt+eksQj6PU--#Upl?0sc0vf4aiTkJdd7vB(|xgZ({E
zjF?-(phBNuGvvyH$_uNP%2O9HIm-tHNz54Z_wGDPnc_m35BsM+-CV*Po|p!4%jm=2
z_&`{9E(fwMbXhaLvy9pP{cyy|LJurk+@gQ-vm)yVWLiA3jO8bJShoh~!p^eQBS(8i
z)D`k6o>0AvDF(FtxKg46Bvrn`(Ir|GlJLQCM0Oeb>+PYgIjIeT9aU_EIVz;n%dQ;c
zvV^Vabvg7&X~XxHwSI0b3dAJ!-S+pne;9XAlm4c+78rbLyJJ|iMRs6QJ1gt7h)K2x
z-!!Y&g!KsWIc1+U^26^VnL9@NUdETd;lrv4T8Xzfa$YTw6C@;6jokiX3Q=n7?4BAB
zv8FH^dTD{Yf{Jm&)^nJxUy$ZlvpN)4=v%dl&yp{*#AJ86|Hib#Iy!Qs)!~~&is%8c
zDKh#UAMBVrjde6rh*Kx3K~>pN0(a9W*^06C`~dSW>^5;J;m3w5I5%Pvt7C)YxQN*U
zS4$=_p$O`{zZX<tLX)vKU#pjVCP(#SM%V;~99*4vhE?GCnJ@N&ouA2qA%!_{G2>Y4
zrm?q_y$Xal`NZelZy|%+5wSP#$FQWyouJKbWjL#R*4<9IhHNm}>Mfu?hMmt$3BPKi
z42j`6FEfR6$jmLJS!VsCm|ahx;gxSn5V=X(cvPB=aT<EAju($&&h`vH2b`2(?GWus
z@~c;v*O%05cS}dHvEI(>sS_k9_aqk;Igqi#jURl4{u{+I13d?B`H`SFZ=~Tj(|c^x
zAtJg$a}2x2ckom?B?%<{YJ8)_wPRE@%R1=Y7}g;4#p0}tB5)V%FdrKFj7`q=1rcwI
zW2^nEq@?2tpd`weZiKqAvZb`6u>WuS-Anx<qvhenw`%Jz4Bs$~Tieke&rf1cZ2TRB
z$a3KH>|*vWn?5YPZ`78#a0+`m7wxLKO$3*Rk0g=``Y~!NGH#e>zb{Gbmi78XNUzq*
zuwxv=Xm1-kKdza<sv||P+jnGPw!FU9KV}F!_g|i#Mba$R74>T%_^S*EIL2nt@chJz
zm(F+u<o&@!%Z%b<rDQ-p^i3;A@F-^3ecsG%eja;a^SCWDgaCI+-i-Qhj$t>FoLxg;
z5ff?N4$thz1E2QFCy$H?Om!iM=0@2+>}6F!Ot2On?$=lxHMF0?Y=?a8hYgmoha&;H
zTDj6NY+?PqRA(A1EoByVp<KmQKi$>*%qR^CQ~iPWj{e3P>lXL;7uK+2Dv_98pcE{W
zaWUv5&S8pg{=58=YZH?U$T^n$M-qg`w8-vs^H_UlS^kMj+Zg4MEbakMNuX-Ny~`U~
zz+U(T#`H4mVb`pl09`<$zdC75N<cO^%ygajhwTn~O`0xK!28Gj2Hoc+;Bs=0b>P+#
z*6izKY9B`h@_Zlek1UGAK)+CA*@qQuggWbTq!|qi9Q)Z-5-twy*E&6ak=L;L*u2M*
zT6Dm-O<kGBBM$Cir?)ugHn3+jqKwoh89<NWdoI@tF`(<Bu}-tz#x`k=xt^$If`yai
z3~%kk;J|hDBIl)DZ2MB-^<fKENWQ54#(Gy2o^`v|T>C=-Cz#L9pW)$v=5I4EYhH)~
zHJk27g=i`;qKY_v_BkiW=l?p+<tqw1K5QTA_wV<7p6zG6Ck`GTV!7X>AqrjHhxBZ8
z>7e~V@y{Y_9!ODoj|*fKg-^cB%@M8)AV)mA^2Un~NQdZ@Vkbm^w=qsZ<qZ?uwxE%n
zZV-UZ*P#lg-69aq!Nrk#j1@YR1;TAi4uIxEuUz$CBA_T?H~)l>16+C;W~f+1Ap1`9
zUK_6{q?@r$FBNe@zpTgh0HYW<bI0gL*^9!{p#%TPy5V3%^2_ND72;4FWWw~XMii3F
z*pDh0@qnz&MrD71B!pj@i4-vq16SPn5oE&$pwK7hbygZq&B)XWZ-~JRrJ1Qyk^qbr
zAHCb^Pk<N-jVYFCame?3sj#>s1os|CylW|tg|(l{7Z37D0_dkGR6RNfm3FVw^cLm7
zX2!=fG+7FEPW7dIuN4J~gIoA0J4K+<oEhgojR!(ZbX1wPI7}4P><;}T!4>x}PvjG2
zU`E4*g5|3OFj<}~$MNm^cpuZ;LxLO-va~<7hf0A^9rbeyqkS(H;X3|PLlM?&kJa(-
z&w&M=`2?GjDy&dG%CL4*f?dwAK!q&=d~CQsdEG({`kU;OZ=6*DTE3KY&Ns5qQykgy
zm{lEIs<LExo~gl!m?8DR%W^QjZt?YUtU6q!mE*jAKoc%5FnpU~Qh*X?ijIj2b$DIK
z!kzO*8{9{)(Flj^^Y!L=`E5US$T#8a{pPO+efD<lV<$*Z(-GOY(4q#1Ypv4ucmcxN
zJHPgJk>KeOJ@McIRk))`7`g1Z&nHdoB1u9@V3QUVna!;NzfXjv>pw6Aiq7uunyO0h
zxM=CcNpU5Je;418SzrXR4A$c+eEW5~Kk-LC$iqyl@@uXjV`!5<R+-*R0wE4BGHH?k
zsJ#9RKh6Yjs?Qhgbx3gDE!!h~SOWOv4n6GjHUY!f>Gzg&iqJb<!*TdOVKC__H4u+A
zfx1Hlr-zN?A?^^?Hkrr`(dO7wu}dZ};rzK<5%%{Y#~+7X69zbu77+JZ(ga#wP*sMp
z%D}mVn;%7`moW14SP`unW1y$4O8xg%8q#P@PDe-gk&D-exA;lMV8p;$?(8lJebo&j
zp}iaAr9*|?eVImZDdf?!i;UtxjEy?xI!c4^OT=XF4MR|N8@uilDgsiLUnZOvnGl(9
zeTUi65L}~6QvV4E!Ku<;45e=D$g<>GkzAbta60ikXIbKf3$v`!PxUyF^0{>TW)TCp
zvTp2ufeQy^M~1Jo8E~P~CVQ<32>|!i6UFm3*r4!A`}>gpxX|LL-KZ-yfGgKAV)i)(
zP_HpIYbD^&9WR%ALsS@qK02P;?@a|XG>)BT^l(UBbo(m>yFR#@R@J-EZ(_-+r$(0K
zaOjfNt!hJAJ>b~AGm?9F0n<B?=O0LiLqo=1gQ0f1a8Nx4ZzV8{#XO#V`mL7>aU__N
z!ejS&=BE9f-{ooK0{$Kv(*iC;463I-@JSnjG%FS;yoSiGz76jG0=N+Ao@I*xpEk6Z
zn;#<B&XWJrj=HFQf(wmZ85yAR(E^sOW9xaxmdJueKghC2xDXO}=a&9S6D-~jI9$8B
zPX1ghC`&fyLc%_Mb#}^{&{Umd7bdtv=6&;tBzcAlv78b;SD&W=i5&BlFUl#<Wxor<
zzmvI;4o@cGEUyModFNeGEu=!n@_xA}_i>@Ba}3kWsp`OGYU`*IMuU0`eHhwQa458(
z_-EL@*GGlKMI`9cA)L{K^r7N?e;oNtdY-2Sj1S7nEavDDmss_4VQp>{7~1&vwvrkY
z>D<euNn%7y`92TJ$GOo_ewmLFZK^P?ruVf}jv0COn2T8y@}N?dDADKpzV8&&m)Y3P
zf;`yR15BfMk#p6VS~FHvc;NEvo6aRRl#q~h_0LT{geCnev94DEk@ExYL#!NVSWhD-
z>K;F$k9Ha0@l}DNkMYlHW;xK|XI7GSNC0g<yq&-xrvePS-w$N<a3V{qhKI3CLTLSD
zq;1KfG8Eh73LCX>p|(-%n$hJ0D0ZsyS2|J#x@F4kqfI#E{JCT6>Y^~RVH*~?o}~<=
z#QI=~&)jHnth}Z-K?Ir0eoW!GsSG_nO;_n=cu?EK&r28cMbTvS(`oQl21m6_FB)z>
z^x#`#Z+)B?s<oPo*f^&Q_h}n;m#p{^$<M`9C`=r^;iZx{^izftWqRK)<_Msdkpp5k
zLM0HF=ks{ASY<dit|IhuTM&&(8}r#kOQQbLrq|n*%CIGORkzmX0E!XCbJk@@Az3q(
z$E`EUpeW9-O|c-1c6HhPCCa2xobHYCR#g=U@4}}hMv9<;781{e7Ce%#&sY>rRRQ)h
zk?OziiK5G^>`zL55D?zMFRPta74Y)&6CLNp&`fj0wAr)_3Rhv&%1Ka#w|CQ7{f)&D
z?y2JP$ZuIBR6_j4M^ppCk%wVh;u6Sc^gyH0AQ4@>pj2cxtOkAN9ZhUhl1M+(Nb~7S
zIb_`Isyq5j9ZaFcXL48)vAv#q@bZE@(%x7wcz#O*{QClXj9*Kk535g?``6`>QmA+Q
z=PR19`y}IK%x!6uynD$p+fe}xb#(;X_tS#2^p#OnCU|r|@vbdJqyoy*@$Nerq773o
z6E7sL;E}E8!ZQwE1r#wLyq%n=1D&DcEG<a{WPZY2)I~@Ev2=7f^yceA$X~uzehwK#
zs(C3Gbz2@qy&zGGz0!kj{ws|SuE?N=nb(3ci{(%U(aw*qP9M<6wZOqwGRUMOjrv?N
z5pDJprs&Es_}&?7i0_s`cLiuK#Ouf+{qDyXHca;Y>#Z=VZrwj;&{#pgihw2)a`>M;
z1GpFVD&}*R3~FS)x-?CLM`>4@pMO~ec(soML&h?Q4PSBLww4r%k1$CYS2X||GefE?
zp9tt~gkNuuiv+sz?u87Ks{xdd>^&7p1f-HHnwc0OhV)~^3S|Nez&Rs9?CEtpnzOfU
zF*_-OY`e=h`)?Y68TMED;1g+NP9KyYJ1B%?12&GDTrq&BEsR}f>!r}h#&P=PRDQHc
zPfBESFaRcH8MnB1k_eSJCg!E^p!B~;QdGeJ()M;`^WRD!2W@NFA0u4Id&nasZUf-k
zL8sJ=SK`P!nRs41oCB%)*(kU*06czaH@;gahHT04Jf$-%$d4zKH}4uiQj3w^+9Of)
zXI0$o#SKRE`(=Rvzbt@1%T|WGrU(ja-;oH&r$eGcy0fiS7}R9q1DcG5(R`CE!!H*a
z)co{rdMi5y#rY4uC!7~T7#DiZl1GKuIX7Da&gp{{b=T<eLIIRu%<3TSNQpkCXNFh3
z)dO)wBJY3H{3s`WRL3!p0`Z=AzPOCj19|SZw>H9fQ6=tF&X2i0vOs~xma~^Gtdgfs
zHy+?Y#h)iqW$)~f-Nr>HJ6d$0{b_Gz$^Z^^Fv@h?EZQUIdh31qEvf@^Kb7*1*KwiS
z;S8H3Q3}+~oFA(ct_@#yYt=()Igxu5ds)UK3gjrc+_X8S1uoVa*NNXbkpDbk`lcx*
z>f16bj6R|TAFp1nvgYPMtEue_y8KjVT&A9bp-K~I1O4>8huDxum{IX*MrxEm@lYmD
zTocOwoYg0^vm&osZl99)Y0#Om+x_0@8W5$R7lh5RAQhR)a$h4_v~cJvDVjwC-ufL3
zk~3gIKJ=!1kuh}WF!fte`WSVX|GE9>?gwUMOp!Ft`ima9dOuI1Wl)FoOZs{WLCh%s
z(BLx7X-2epF@^8ZT{Q^jEXD~rF{4^H<I=eWCM4Z`J7j@J4Vboy%X2-LQMvH!leQcd
z^k~;-S8SiBl0+!9tTUO>t23mpEa%t|bM}pF7Y$W#FS|@&US>xBKE<6ez;mFv#6!mh
zzNo<U-+E%3*I7^@hY623krNGuT?p&(QGu=9aQl0rtcaleHQ5fhQ0t9pwIogzz-oIk
z6BbyJ$h3?%|9Kqp@ZK2lXix^D%IAuUQ*7u5m)qgyC*1qm%{f)=r3`$@ZcTfX97w`3
zu%vvM2XWISL@$f)=R(qlHlYFzgma(#tm4dvere`^D;QOR_qnG-q@6g?E#24T+(CXM
ztMa+UrD)%yvvyx4Npc~ocF(iY{(?xOh3!<=4JC-9I4smpjYHxYU5!1`2T<D$k8ZNH
z5(r+n-xjxyLyF8#s;@2!BVDDQNY;IhbnDT&u13v+!k1qR+#V7^3FdWW)%#r8a{0uD
zizF{9!BHwPE{dZ60RRC1{|uLBAk_^N#;?7%Wbbv2J6wC+bBz|INJdhj@luJbY#LG_
z%1T2el?I`x@IMr#tTGZ6G8$6$u3q2IxAUCy`#mMUPMvwHK!*tL$FHKiR-^Wj@S!&(
zRlM-`b7r<C9ZG5&Wcu$)qb{+{`+$NP>T3nYds@@MKgfS;vA8UfN+TqC?A4K1{g=<l
zy>wW0xAE+&b8^T%cx*5tLIXK=pFfnBPX`U{fR17f1@vCKhTtmG#F(b8LmI#6aHRX*
z&X6`m^zU6~7dfegSsJlWyx9QG#q<p{u2sftT8_em0U7THy6<_|XaGZN<)RPLRB*6}
ztv4l52g3^ZCnG%>aI`g=d_!3k%SO$n1Fq|$*>^ElNlrsx-|5B(l2SvXYnIP)U+Cf8
z-h)$eFAd?urete(5q0c*+5cU=MIX1D<nO$E!w6mshN`XS)xapbxC!gW6x8hf$3L87
z47|1_nfZS-FzI+kU+fVo3jJDJ>2lKq&VL$QtvjlT-=_A-*e_Gjuq`XexWN=uEZ-B1
zCM~>^9L;u3jfT0g^P_j>%pi16=ET)JZH$ZJ{2-)BL%%0kZK;M9;5wJ(F0+-4sYUS=
zNp>2Z{&7PiH_Q?)xeZU*kCSmA^_-So02O!CUWti$Yz2)|X{!YTbTH`(TN`^k1p|jh
z_~EBDwE6E9`b_BH;(3MBviACT?=(O8Ee}Bc>oX(VqdIt0F8zBU>SD`CN`lK-0MBej
z&iHp7bi3%Q6}e1C%2ShBVG;{;>$23gKhwdu(CU|QT-x}8f6hc=7Yni+h@6<6I+*1e
z>pu8H1JC5dZgePO!KS|wCW75$B=NV;FITByron5wOP^SfZ=t?RRhx{P4s9>gI;(;b
zZ(}S*7g%t-aPwR7t=iZ!xYl)Zt0Kaa7HI*J4RB3c^r`LE!sL5xug*S^#Vtuz7FiQ4
zXlwP#WV&kN1cco4{wam!@#d1x+F0PTsd#g~u?803@r~XbE`idQo|batv*7pPx~B;O
z>bNHIsgs<aC~6*fny2K$0>i^P8$W(f#lCGEcdZWz;9mRfQIBL;z@~DONxh|lmfq;>
z-Or7IejXp0jR1M&(qWzv%Gj>&=OnP20}pwYHq8VBq=kwpi{4N~N@Six5*G<STEv{I
zkp^(ksV`c4KptN`F^oNIvP6U~7<PF@Fd=q_z~^UMWKrX>!k_50IYR13t%hW^HN>j^
zQ#s%!jZHNB#gJdq1cOBFy~Jh>qHNXorQ@aWah%ZFMA{TlUalw|y4DI@3|O81&5|f-
zlKol0aFV!F>TtI_%@ULs8hDjK0#o<08qfAj5Dw7?Z>aQIK#7QFj$yYL)+`zv=i!?q
z;C*?AjgAGpeicU-%oIhe5p1N~o+SDbg-Zit%mJf}FY1p9<3|1AD35|ELS_AHmrosL
z!2d3};>)-oa&4krav7T@jwKAdy-hQNA6}mQ9Hs(z>P@ApY}hOzwB%>gcg_?NF2s*1
zR`cQMyn6Ck!+FB*vQN#i858ix>WV6g=EdB%x1LL@EE20OdAvREZ312a)jk?Wcu@Xy
z)yYG~%S7;xs$%{oW7y=Y7DBzujkD2zxM@Lui5Gj{9UrtZ2B%f~f-lW+VfvtC+WUPZ
ztZTd|D_3p=G3_T+6XUpWB1m@j{cScpT3|2skYWU!2VZWnG2p`QZ+eGimf7*ZcEPsW
z_YJ|9Z(Vx2(8_$H%fFjGoOnel(}|yM2$e}G&QT&<C^dci`NAizmHT3KeW_#s=?^jI
zYs`hsB#Xy$fjr2T^S#pEo&jB!_Rf3>Txk1G$fie@4=cB6P&RfMfb$d6sf1r#m~1OP
zq&>io6AxXOat92cOu{zLB9<HL#23Yi>jiQ9DZl<6ZUYdnJ;A;}<-yUQDu<9a!sy|m
zWn5cGhr=3)3auQxSUTmlqbE`nPh1!k6LF+N@KD{j$|5gbxVHVn&l_U+&iCYP@i`jM
z`N@;{68yMyF63_I7jfhdUQQ<8rh%4E+MvxA0lc<X)?VC95<OIUKGp4{!DZY3{zADR
zj<fm8cHUlv?;p5~>{g_~9)nl|F>7JGE2y}um$4eVS$-L;Mk@5FZByMjE`rbEJ*=mC
zrO{a<pT2J|6~5X3e4H>Mit~<66>ZmLaog6L%I{ZE;kc^L&gCCs80fvuZz)+G)ql!&
zhkT&GQ^m70h1?Q|q5dKj8H(8UYg<r283icg%hc26k{D-oPH@Uw84t#CAfu21B$?sK
zf}~aGnf23t@`MV$+`EpITTTJFvg2-_e@S7RjN~5u8dW@0sy0_OK!K3LHEX61OXHTN
zfCvsAb&T)(I3-D^LT(&gXs@s=8b`_)Tkq7sxUMs^dkd+cA9iZ5=Sw-PSnOQ-`9c#D
zVmrA$tJ0wG#_nVBc?y_U^rOteNE;OtZ+hNLrUC24@Yraw5>_ZY(_4FwjPL22b`|l_
z!8G)IZRjgyeCc$eU_xCNy?s*q7Ypbhm&sxDt4jq}=kD%(mZOJuJ_7dxcNl=?CHH`s
zU#iF*lKt`aKYe^`;(s&VkO7ZsAGG8Os^h8j+7iRfRD3}12^7{fgt&@;6MytIaE<oY
zxiTgVM_N0T)L2H)vjdW{H?8n>aaCF}(vWsQPUe27F+{Tj6i)u9g?a7^e2VIH%-e6F
zZQfu4E<3;QDIL{Dw^V1dFTQl_cU*k&jA8~ZH>5N9!pW$j{imhiC><rPd8zHXV-C$J
zgFOemba2wBc&+R%I!1bx(Nidvu;rc0xVfq>uA8Tw3X-7X_U9@u`5sw;o20_g#9Cbp
zo2U5<rql4E>jlLf229u<&N?;3(8JrZXYM&xu5fc^@o4ErfD>-VZ?cEzA*sZ%W5=jI
z7QW5pIy(ulm=J$zEJhD~zB|o0H|pZ~`kO<=i7W`+dnzN&Ne{DsbX;5SOU5sWcammS
z_%ikNfK>K3U1S><b{uKe#HJ73lLuUFpx3Q~rRAWDu*Qk+o{~C7YD~cS^EMF3S?wbq
zrGxs<Z=Tl<RKZv|8&U6a8@M^0`cEpBjHmJjcZ6J5Kwnpz8HFb{Ftm_P=h?1}3*pLd
z-HN5LrsYEhv%m&2?X=P#$!Ou5Tko%5R+hw0<vHp32pc#-tyfrAr-4&iRclQ6L~+n}
zA!F3s26p66bG3P?<Lj2c4%T0J(d_isS0Bb$KoM8#{64OVH+(Zwa_iYqDZcfhXC@0i
zrt0kpUCDi$SJ(0Vo0f=V>m1bwhAdda*|@M*SsB;ppI+FqFiFt#*jn;i08&R6a(AXE
z;3OyeK9Ra_gdanwE`ATdz0mnvA@j00yCs7y#OV{^Ue;X=vrKqB`rBYMNg6-YTUehP
zYa&83_Vv}NFu|v#ce<0g!Xxv*Rg<M91l{zi!f7XK=*aX?D_507c9Vez)cEVn({^6Y
zi}6-47aP{}fG&>LkH!obRzGHb*j`IodTa^iCcAUG4v1nzqCuL3!BZwBxw2)|qy<!u
z__kFQ3gLhhr;T03BW7<uFYBCv1yp28*j;<ck70{9=GoN?nTtedXnce@Y%u5)j5g)P
zy&fOqV`bBcdiLAoPtVO@mbAh1%`_L%`r|p%RV#>OJC3`_l4c;n5uI~yjst4~10wgW
zYap7wdhYl3HwDIQVU)NfJI=2@9Ns$9MsPNCe5BNyz`fwH*56emoUSDzAIrWcCT8A6
zG^?9H-ZlQ&k{^Ew=enO?lp;S7TlIz{gp-Xy;q1FLhPBH?U)Cds7Pc?M&13#<FDHyZ
z^FD!j(~E>HV_2hW+c2SWi51cAZ3Ky5D}rA|FA%RbCw;bg`i;1HvpG(*%@9gn1kgO3
z=Lr|qnx9E}KZ%HBUYA|=hH%7mn@8!PIig-rT9UKmH*sppH0O2=1McU6F{x>mI4vQR
zy0u_}u-uxG{?38{0c=%XMtf$7ls2D_Juy>+w#~Yw*Hs1}{N((4ZsS?Px#wIJv2TXp
zxB5Msz%qdTErq&+=Cg#u!in`a_skJm5Xm>%NQa7miCg1`XNmq@0Zmy^3q+gSe%c>b
zI&5pdV?^qjB^;9+ZvDHzM2uaF7cCp6LGrajDW~?&5s4RE6AIb>5;4E7fxuB3G#+w0
zbwz8QXv!=8(`iM*uzxCLyrMMtkjPj1OMHQlmrhh|ILC(ck6{UWU8&%$;Qp*aXOSqG
zl8H`V;q^qs#fP*E3OJwi`BopeL|7d?w$=SOCuX^CuE_4vhlP``j|UDe6UM?hO^0>4
z(R54t`gf}O@O)FQM@G_L;-&v$l>ZD579C;cXou^;HjOX5>!~EXdgLRA_y`}`kH6bE
z*RBgPLs5_J8nNNWsRN7<HbETNF|Jl-rVC=Mynnac*%7T6>-rspadl~o%Ghlk*cIGO
zHMz)v{6ep{Pp^1p{*jG&ZmK%4ZmXqe<}xQ*zj!oALow`A^bl_<B*R^^t|De4H}-YR
z9;28`prEd?fU^l1qAN-d&g%0br==zHT&E-k_9-rCc51^@#<#VV?EDy_bK$Q*=8E^;
zb#s21pbhH5(+uPg#6*Fn9Xq3>F)W|lGjFX8?r*n5#~BLan*a9uG0({2rnZ}MUBcR+
zpyM5|!BG^2`RX6AUdrROKj)@<rnF!=UGh?2t{BSL*qc|=mC$q^hbG3gK#gxt+%TsE
zmgV$$Y#vd@A%d2bz^4s+#DDi&q)FnDhfZUc9aZrG)$;LCmNw)_YxxwJOCfsJ++BX7
zhWvM=p6s}+4YPHzy{~ws@ybXHgTqe)$(izD4yt5$_DAbd|Dp``>{JsuBB6!;TU$#O
zJIPR<;l!vHlSi-Jj;H6|Yh#Gzc=p2@9jH|kPP(yC5q)1<D)ijfLDy}ESCa>I;Zwjq
zoxyF&c!ASD;X#@n>K~80@3}!AtfFqtYUQZlw{^QDmqIC+%(nduZE3|fj<6JFzNsSH
zdA)DJx-_&;joio^O9TDvDUQlD>S&2B`xnINh`J$iig)NxSiGF~`o0E=>}>X$`c6mf
zGv9y4lNb;>^ZB^L%Ae1)7GwqAGQhQuzj*o_H-sxo#?MK|wDHysx7&wV49q+Kz<t`l
z7-Y;!V>b?xky`L##P&V|HSLvO_VJhkZh9MON7u#q>B`cL{S1`i&{lZ2WCpf8A<g|h
zdN>)(6aKS}fg&Zpo-sKsp)qAuXTU*y^!Bb;cQKrSEFq^|Q4-eR9ANxcYz+nF&IIj~
zZZkkt?N*+vf&eFr=Q6K;p<q<>>YR`sI;wv<f1#6&1y0wbe{40UVvS|yf%|zh{OI1!
z*xk>9(sqTX6>F&2pW*y8(Sm{<hnPWp`8H76Y+hu;NyU2a%2TqRb<j^<n`~%q3+FC;
zeby07!G;$mX8bl<7@>KPlwM>Ddu6$*-(>1zQR}1L>9cAm7{}-d|7{DCRqCP7kLY19
zw>yjNr4pv|*lqvLX9uo+MlzgIx)}L}{VjjfN?vs5ju`*31$Gnj1C>c+w49EjZSfMv
zyh?VfeJ!@2n%}lwpi>KPkE<44Gv>pOzq>?^AG3wP2;U_Keof>%Y#9_D{Fg9E<-a(n
zY771xXCw?5>S+Gb@>Y}HC~+c_eIdKl2Cgr)U2yVLMUv2b%jd{6=8u{lS6)*aFsi)8
z_4t%B*8jM$G5hQYGb~>=yRu@%HyW<+WSvn!iumo8i%nC^{aPRQnHsU+aEjo&B#JDq
zyD!-CM0=5WHH6VjDFb+#cv&QxeKjgPV)$<=`^$WGb6PN*0bpJC@6bCzNsR5S4!hJ(
zf@xY}^XWrO=-%<}efVZE>^kXWBihCWnjfT+a$~I_`#j{_z9fWKU53uOZeRytlR2xp
zY%4Ha5<2QHz=!;`TN0)Zu*1V7M<w!8OBf7lx7zWY6Kln@)--Hp2imLAf=j~|P=5d5
zgFYG?78Hw5Z{%kOS)TaKl`<CK)E(Na|9FY`w79HAFJgm0rB6A3T+N}yb$sC^&JgDU
zp4wDdvB74q$D>2JX7E)l_u;Xial*cv_uigX5_q0gyZmj)6cSG;e>FM$l{oc|t!v#r
z5_~tkyXTCtDRiewZ(k7mOf3EWyCGA61S9QfFSe(ez~YbVfp1M)2!W3F=lu!)m^)fw
z^USC*DD#^SJ+i+<q}|hEoL}{i$u+d_l;mU#{_c|rPF^pV2Wbah*}ebEl)bf0hEZVz
zAO7n!*!#PK`QI&WmCV<FncXA*H94vqK^@DN>qGHpW=+`4I*rM{OcV10C+RFh$bX!2
zQod!7xkwXYA9ec2v{rl}{-2;BxSr4QZvXX_>38_8cIfaw=AB^2aM>gV2!<>4O*V}(
z#S^?5#5_r`C8Xz%FgF9-mvh<MkN##(2kayleI`LJmffZ%8$cW5#jZz*6U_9U@$GgA
zY+zmAb0I*~0Mu6fxoyRqViuUk`PJI6L&f~^tBO222sV~by%(mL3#6}Q6m<?bTsdnh
zqDu!hrEikQD`uHVaWbD;H8~;m?80(z4GqTQTz#L%%`^QavO_c-xqxD2U-iS41{_xf
zmqy(dneGWE0_QWip`nqL%Rfkk$AuD^m+hCC13J%{uH3xf_;I&*nJN`DzRFj5Zu-kS
zG5nx4_bMNJc$D8L96*6-Zyu*+3la?3o$@>4CjgH-)<p$Z>BGO@>CFdx*<c`qx_Q7&
z2)Ms&ncT2iA0mG-%sTSff#I;(%qT_#3VEJ=QI6Jw&&-M6A7?pWp+KOS_opb(9(5hP
zJgN(4=k-m(_j5t3aod!Eu{e+~G(Ab%s|#KW2I9r@+;A`CZVTh81c-h5^k{NS2ShVZ
zzbY=`g~2PgGHl7KK==*y`E;TVENGm5S)afUty<@96n9C1N9EYPf0{Z_{%Y4j?*u`R
zEf6Vhxg!k<A>YSqd&y9<g<YHLzAy-Vx@9?DAPcqoT^CGmkio^!<UHlLD7?5gK5ze8
z9(-|7zbcLlRnl8s&b$$W<qc_F^>Rv(z3WLTZwMKZ=Z)L~DH1SQnQEQTtPEG)#cy#u
zMuwdEpC4~LkOXhG4E<<zRcI(5E~GysgWFQ~yN-=gpe3ZAFp{ALJU$KHU)gj(bExw`
zl#n#Yn2c>>N^5{dMMsK8qz=q4yt1wPB?AqmeX^`FO_=`Jdr4PG7eY0YhIUWNL6ms=
z)?2%^Vg2jt8_H*OfqIkC8X~O-71>6wN0oFSZH8&k%dHPfg{}%JG-cpk)$nuqn=W{U
z#DxEHr9jQ)?8bk-DzIm$vv%T<K4iUbKco4B3XzR%eRhSaAbd$DsxF2K?xN#!SB6&d
zmMC-R?6ewqrXM+Y>LLv+%0}iVmgrzMu&d;#g9h+!iWukFM~4{xCE9Vz75{9hSaYFJ
z6VgXsFr4HK;Gk2$U_zlGRClLcrI55CJ}fKH^`QYM?9NizYHAEwJC-ZFwvb_AV9&Kk
zc?SF}{u)RAWdaNRW!@YaI&j9GnXkB&0XLqlNlULa1JTFN`FNk`0{@f5@`Fwc;D{aw
zw!LEkj5><Pttvez-s9!GjfVlM<S)l{a;;$M#8#o{41Ktnk;I-7ZUEGUfUveiCcOH2
zI_anZ1;oSd-4DG=hYJTCEu`-P#94$rnO^Zt$?)d8wTU#qRqWoO2`m_>O*|$1fC47+
z;!3(M6xgV}F0$9s23FUZ=lqGIK#DTQ7h}+cXS<G0{OYm+vNKQE3=ajm3g<WTj%vZB
zWr^n&4z?h4<>WS}b^379SFF!CR2}Zf)ehxk+k$!3Z9%^^dO!s&Gf&dWelqI+SXJ4A
z(wA_Q=hp>YTECFcHaWPLX-hiu%ocp>xOX~UCd0PquXjh~SAp%zsnPV@6%MAS#*gxA
zgQcM2{FP~8u$!ryjoEGsuD&)R&fc1E{9L!b5I+~ZjVx}N;kJb=i~KJquB(ISH1krP
z>;hAMdtFreH5;&N&hEQEpbGMR`JWTVhMD56zdD0yHZYSmmR6#!0wj`Fkr!Sij^0S#
z!d1zF(_-lxmxdLg-j!5!oNth@Jawgiz=8#fChCC;1#-}LNj=qm&p08)74)yA2B1Vp
zK8T(s4eYL-G@-*Y!~xj{C);fRV$zx())cJ*jnMG2V^i}4e3Z4imB9pFk+)**OX6V4
zZSz~kY>8MnBdO<8XbsVRWot?jMZxo};cAX!%Y<sm6OGPVD<~HGbL0NXADDjiJx)j9
z4*}ibT!)4&;rX7PXwCn4AzG=)my6>MG0$_w&s5A36#QFz4pwl&35T+R$@9yErgKUc
z$=(7oPl$%U+{*^zyrRoL`<4iC&j8uLcyrM5vO6I^u+02+%s_7s`w~G9(RnDn(nG0n
zLXPCTIp*{^YPXiyB4PZ=dw+_c8C;jPk01Cs$+SB1ezTRr0uh*NyJe@BDO_Z}-v2Rm
zjLF8~Z1IFKPc&C^?$s(?;iK|YTCV8`v+G*3WT^KXu{3NwkR)URQrS&;Mqz!-=#BGz
zWd*ZDqjH&u{vl()Lneo(=h~UVBMR$^1!jp)8K0@m?M6^Y75lc7{G6$GO6`_N_6+fT
z#QT+&wGs3uO)(ygonSsBH;-*zKSON4P+i4&-w?1Pw?eh4ns_s}P$;E7Lu7Vsbz&$R
zLiB<<xMwsI5qkHWgS2Oe<xp|`<ZK4G?rbjJ7uHE=xmQ}OcAFv2b{slCAkKjE-!)`8
z@_LD-5Utvbk{KdIsyIhJ!vJQgo%t9={e<>g_uhR*v&5U7+jA9H89<TZ%zTOWAn`kI
zILKgRmU!*k{<?LAkE4oByP0#t#QhyA!!^(6h=9w7Cge2f@czWTa`m`x#M%=F{wlQ2
z6E8|-O()A}km2T<)kYd6YPIQ`9`P*_M?12#?CojbEnC&Xc5;kRxq7bCF?5MwJ4A|D
zRZfMi4k8IN0^>x|9shD!$v;HB;t|@>Aqwo_{PC}7=LB&uS|zyo+g~DZlYeoE90epE
z-g@OzH%TP#?z_7oiiG^96G`Zy4`ZLIhBlZ^6KcL97qjx&u*7<;{-Y~;km9pGD5ZXe
zuszw}6Ewn(%jRn3cYf%?OUC%loh!ZGMSJ}bCnrukRMg@2!b%r%_0L=oHd!E49tzgX
ze&Rv}0TEY=937bCd9zPMeTmSt=!r|r<Uw0LArZGlGF;hw{v4nAA0lwP^6uWFeE20%
zWo@V*8A8g20)}G#5#Q1ss)JJma6qkfR`9(x7)R_`^WP!~t$~rz-YJBx2BBX|oweb*
zn2-_0nH|S=jSeL1isF4|lBQC(79{u7PZ~CIU|Uq?kl-0HbXWRugt1=>%EpRRZ~AcI
z`U8hU!~`WUIrV%uJEs<?WUk}>q{4%}UuivF4<#{3tuD0Zo+hYOpPdZm=fl*59%_4x
z6b9V%u5s|wgbTm<>kO3zkXfj)FCau3(_bWLnCfXlt6;}z^?gDJz8r59a%3_2LF|Ul
z+?wFC<8(pLpa{0_AF+KiDvupGlc&DTYJii{X`jcAVi@qrnI#vjgdSI73ZnmMK*s~u
z_NNWvIQBNauTV+_C4Oi9b5Pd=EAC14@!gUrAk=0Sm!^v6K1=)F_)im57fNdODN7-H
zb^g>3HFd1nvcDmsLla2e!!smKX$(#yr)0Ei;Q7tpo`v{p!KvVj4r_&F@!ZDJU51yn
z@UgR_>@-~)!~%|2uK{^<qVULh#F9}yvx@qMPKL=0kBeI`Dxwody6sZ1E*2d8?x-59
z1EGvZ?ZYX`*f5g8ryi=0OMg>;u3uc?_Q2u19Rn&@Ul3NB7)`~8O1)7o@ASc6>OZx5
zdo{fH^~)Mgf`)Fop`|ZLG`PX<Ah5nt9bXLJyWaGOjt~FK(`8#rhX%Xu=w3rjEI&4<
zIhAXG<5i!yE2|Bl<{H(W>#-J!^-v<#?`Gh$8(QizdkkUX(!Ph!4as=qpx?UPBtvZb
z@0!}2xiP3koG6O9t%I?@LldL}4DmndJ8hcgrf}zqwzNEt9y-mddWK{gVr1F|@}h@1
zICgPSw%F@q$;mbTuR;v*gUE-ze<_ym=I(Hdlp6)xvpv)$*bMP$Tf8Ez!5Yl3^MCN8
zQ8BH>Icv8u19?xzU2G2r=!k!BzN&$W6PwdN&#f}RTW7BrEJw0ncCjiVkcWl>zociU
z3TddsbG|>$#|9c7y<=Bnr=fM1NA>of`gm*7hjCQH7A*I3g?Zed;#BWi*+?B7^ce}X
z(W<tEZ;_rn@?#XdBjnc_L)S!?+R{BYH0<Ej;@69bBl@_ZHQmKsPZby62Q5>)?I7cr
z-*fI9J^XW<dj0B2dF%-m3ljX#4jPmur}_nTvClIjuZFe?xsTfNPi?RRaee9oL1!}V
z8;lLgkr2WU@%(RX`0XHqC#}>vR0}Uip6hY)Wy8xmS6gU4u!YS%cBT`@G|(%iOVG1)
zjQE-<G1X{g3tb2HCtN+PhNKR<WR%BK=C*RB<`;wwybz52Yk5HhiCf*<1Y5_LxnoSf
zCuTO#-7WT}%|!`o%xt}bEEkx=sWChCOIYwf00030{|uLRIM#g_#qGVf>^&cz$KJpD
zv9m=<$V`!nLZW0vqCqI$GD1d5Bq`(fHBzZGC@Ph`W$*R+_x|hL*SW59K8GX4{7G@K
z5c2y~>7^4#0TM4_PF<5F!}iyr-uv<bC~J7c;_?A%sMPy$Q7;c*$jQ=qd58zy$Q(I+
z2WWwnB)tAb2%!18+ll#KoM>L{&Iz|jIyfWhyAY*^fwpIoRFgCtvfa!X{!gABu1?Aq
z|FtlJVYap%aW+OIvcE7Z`!qc`NL`Si^)iH3=9ruZ!8Az!)1wotf%HIe{|;AmoB`O(
z5gBvLDG&uyHeHfBJp@oEx&>6~Lv3r@#k-vAcpt&Ef9($)kV*ztQ%3aQ%eI8`ipK)(
z-Ffrh!HaYt5nmsAMp_RJY~Q!?Y97ZA=)UMu6`%uQs-MS#PU=EDYqaf<XdljAzT{%v
zKnvVda~q>CbpSe;a^Eww;Bk=>WZ7U^SiZjRf)l$AxVx%6KPiK-*vo?zLAtaMyHK*O
zeNr2YEA<xQ0(!9f$6c2^glXZB%Aqjjk6N%OMN!j~H;6IisLM$1-H&Mm^#0J$f(LJ7
za(TwbF_Q?3JDmEokm#jQuvVZ6eg+fX;bs3Ywta&3bCI;5b6Vl3J&z_>F3R`6-kHY=
z90Phqf78NA$B*Qy6b-Pv5)?xfy@aLKo{??wp@Za#lapKY8ldO9;o$Lm1uMLi@MnmH
z9>VNjoDoV^2P@tF#7Wt8OwVh{G_{W&Y*}X-cG=XSXREJ#%XbsgkyQNt{VN0TZLjJ+
z%vOU~CI<(D``cJ_#ZUm%JR?jxO11JRsDbDaDns;h7n58wynRWB85YkA|2xu1g1lGV
z54pG~fyDW~eYTthCSThBmwt!@J-6gu9{?&4^rb1mtk@ugJ-w@ci3r=-Z?>|cs6i`7
z&BdC91H!{}7sKxo;Z^F%0Npn<(CQ>1Nn+sytJo#!3^EafjWd76$kG8*-5E9oSuRjy
zxAtTkP=&bX10ALJ=%K48vZKt68$7(Jw7jiV;cSTH)R;0O+{o;1Hhsba`oDj=GqtL~
zPWwgKu%Ar8%ppFIC&mXi1QPE`>{kH~qGIK>QWl7bVS5%-#SdAV2OSsx5P&M;cDsKL
z8?cF-P<1~h2<!vl74(S&2;#r}r^uB9Scg@E*bIe0Q|YsYA`oE1OU*(jiW5GFeAL|5
z6#=@oq`x8T1PE;U{OHOvE=V1}bi&I+3_MG`dH1g<1C_9yCqE4j6cmei(RPbNX-ki8
z*s3ygzoN_bJk1L!_pbdBWtD_khMQx;d<0l5Px2{W<b#h|6nQUQrC{P_Mcey>1Td7Q
zl48yjfH*ykF4mXQka;7@|LiLQu$?mJGIQDozQ@S3B?_{zBx$SfWvK!Uoqc1ERfOT~
zql3@%%jAGs0PokJQ3ck-M`R{BQBWD}-*;9+0e;qO*S%g)h5D<yZ>mJZ;fzhQYE8Q$
z)L?;3k*P%Z=FTuVr6B?C(j|viT$RDoqK2-{kOW1CN1)n85-cS<J|&M5;QMsFwi>${
zJj}b|+7mAYLW<8$ZTYCe&iB}R2~_G(TWfIIzg8L^to(h?;6sG6_Fdx}0vd46j%z4o
zN(Q{8HL8Mlh>&wB_OGO)CY&<0^u8i02jiISX69uQ7~34Tt1Z_8!^E6(x%=fo#js*#
z<u?gN4k?~tlGK5HAxg}czXBw^akUraQiItL*}ADJUEmci<mWu42*S$+NP|}m{M~`T
z;-n9eU3438NC}SFmgQ9pkl@M_%VO3o14v}`{qRFj86G#<+N_=<f#S!ji|-1IAokr+
z3%#d%zCCp~qWGQ&Mu~B{b9*_-BKvwZn~MMqTjxuszpBC^rv$r}UVsudnTu)q1Sl67
z<0&d7z+;yl2g6u0>^~|^pD9Oxdqnm4>+(v_oner{!C?&5R#~|HH)SxH+ku)B^6=*U
zmo(K_W4LlH<n|XcWyq)w3Ac@tfjYC$5!tWC@Jd_sY|=#~`15b@Ov+73xGia^N~SV_
zr;mGVccK+R<)c{9_XA?^_$U!O&t(E#B=7PI&I;gDQ?S4Iy&yE023;c2n!p)`$WKAE
z^5CGMVjNz<1GIM~hsS>#L!S;YYdl95a*jU|=Var6bp?&_m-)tU&g<D0o2U%<$QLWn
z?a;%YrI>{cM`IZ2o7l;|BL#@|>a;8)C0H8HJQ`Xi1I?5aRW!RKI9U6<iV9i5W*@_0
zn_FaP<BsYrPZftqUR}4r`3WrTmg<W{X);`Y+QrhXAPR>`jxqlRzF|!*diQOg0|>oi
z6|8U-g1M*i^-m4b@tz}RgxXC3HtMq2J1PYrwez5wjo4S*`H@qnKp6&y;@YApNqmsN
zvl~3L`x`f;%L~2n-Uv)rcfxG@xuH$nVK=>N5dZVz2y4`WA<$3;m<ZsU@W@-Ilx=<(
zzxdpN+#_lT&Cf5~r~i)~WP8@{j#rQ1D^D-FD?1v%FM1D34_+4dzCs9-I6i`FF&z-8
zN!ADdpyqQ!6AaK*URjxBKa6*1zY#h6Ru7)`Ut=Zl(1A_jqCo0{L0pG%fo#F52maj+
zTEaJ}!E|Ff=xAy`z8EjJwd<k_ZP~VI3<oLUb+#wFgI6EE?Rww!XsHftj>ytkp&g75
z5kI6I=)sp3l3t7NXv2&;Oz9ll#DWiv2{8+P#W`Y)4$--4Lq(ghP`Jk$mh@Sw{!Gz3
zT*4{e`AeM^gg&~Y!`-=z_48a%@3L*eyY40?TZ(AGP;%{f^Swn(y5;%b@Pmc;P;Fhk
zcA_Sn2Q|AHd>(r>ZlK~qS-jU9S1ZmeYQR|)&#kvAa~S5Jn%p4Qgej<=>Uiy^0sn5c
zgjBZ7V5V+iX{R2(#lE#V;M_meA!NmtvNwMU6Zn!+dv*6S=3l3}sO6*%4_ePnTTD%0
zgSw`lpJaT)CRa&Z9G}(TIk8c`Eo&Uh%f7^=y6-0@`gkNa&Or_CZFO8q${xe!mE01C
z?*74!n~rCMc9X!Q^{gymY81=N*TN26AHYJt+z{z>BSD6KmUB+RC}y?k8z=m22vc)T
zJal1{2t$Qe%f~!NvF^d;#bAX|Y(qIy!6%dm2d>&hT1Sjx>3_5ot!|BD`=XC(gwqni
zJ+;A)wqq2N7Hxkz%sz#Y3kcEs)m7mGcW=A(fiWya=z?0?lfA$F8{-<iRlq#Lm8{P`
zj!Ca6rS<8~VM4)86ND@R=t+8}yxkqg4pX`CE?3WE!xphq@t>8U-)yC#Mrsn1)UrPw
zY`%zHN;Mp+;7|ryv8gBVQB&BG73VRVwIwX!Y|w|Cz5GH!<}G0iGgyH5)a2U_E7(Ww
zLqnzy6v5hz@@L$Ke;5H(w}!l3!^(|!PL(byKnVBJLFHq6I<g(FDa>tPd@s~%-dQO?
z>Am)Z$8q!64spy!bN@Crf8Ig$d5JvOf;-lQ7O>c4>yZ6FcCr0l`?q44<bnI!?VC)J
zOW2))r4=hDO2|FWbl>ir9GIAT*GQHvV>JP@E|b5g;7f3yfbF0xVEG4A9bH$kiI9K`
zO4n$B;mOMz^)9lI@$t=&j@CN1>B%3@xW_r|tNaerT{3W9@@(?7$tE@y!dKUOoB@V{
zTXHR3WMCk_igG=18*3dDKVy^61iH?{$_EFfp-Q3NL6eFCGW905qBvM#!pR{1MVK_a
zI2htH=|u@@)V{MLjqLFK=+STkE@`-X(b>IXkO~+dRvp!G;RG%e+xxdp3Z%Ao2fyv<
z`}LTzUww%Sgp)_^ehZWWSsIg0Ru4M(^mF{I?n@r{=}e5zP>_N!y%l;(4+dx;3@5gh
z@j+csX6N9FB%J3`_i4My1Q{`%3jXf|z)0S%aJX9%v=rZ;XIf_g552Nu^+G~GR#h)k
zZkGg`v;fb6`|NP~5qFMxkq8i?eQtDqlmz4UgwA|2CxE3bwXC{0=+w&Vo|~0~hnD^i
z#d^3PRABptO|=B%QbcW>QkB}nTh`sBG#+S}e%5)<K?)3J7O#Fumx4q&$F!TFe2})X
z6nu?M22LvH<8flr;B8$0L?%`M{;iF9y_k{(_uBOxvp#7MP)j#RdAScRN*8@79F>P;
zxBB#!&oU55@eAJ&6@gRhU)^lB6v5#jPktD!96)22?WZa+c<}hZhuXb<%bs$aO^KI>
z&vu`GX6Z-(XfN{wd#gf_cwychXGMs8X02xTSQ4}yQfFd65uqfBiGnvy8J=F|?s=^t
z4T>@kCk-b^AY>-xRK=qTNm|Jr0q<oXw0QKu?vffvXPMa+F_OUOXYd_?AUSwC#z@&a
zrVfrgHkR*^8i0o&?<BhdJUpG)xKpD6UoV=vAE?v-U8Q_6rYDLJeIs+x#7+}td<wI!
zebIs?kHWxOePwX7Tdkfb(uAm7KD$;iT_|C0kPogPKzpH+&3L&cyrg+guDz}g+Vx*g
z2QR2Vt7WW9y0a$mTt=?`Oh&+=Fy(N3R~7t9`F8?yG$4@jw5~G%%<>VU(H{4Fv|Jba
z8>tS@J1LS4g2>QxUGS9cJt8pQ`+F^NlLVa3KXOwp8iR8}>Qz)i1m%Btgr))!;zSNq
zeK}?V2U+@##KaL{j+YndsVc+4S+Or8qNWhP2`;wEL^zimeWkTg4jwD@6mJxm0;9TB
zR+XJ9Bp)pQqpc<d>8loA>NBSBXPuW>ZjJzqL2-F;mqg$)3p;%dl^OKX@BWM2uME}p
zrTSgMykKYWQ7vxF6mFJVoxKyF2$waO7@O#r;oP%vi=;wR;GRD$72_ojIfB<EL<2T4
z=^Fibf6NqK9e&EoZzK!AZ!JSM=)#~Svth2)1hS4gNQrPtL#kD>5?q_Y^~AF0^mR?3
zJ4dPM@~8xubJgr7r)}XZ>5i1r4~^jmf60ldG%=72IKtnyMU7mA+wyq#cuCqP;TDP&
z0>;V7?}NGw$VD*RiYtl?>G~{Fcqu=a7;P0x7%`)Y^9uRB69A%;9}n=c^8k<dl%Rtd
zE3&1M@en<_=ZpTg^3yLl!1f%a1aBf6diJ{Qz`ZIAidndwB%GM{a{5nE2$3CKz2vPJ
zTVn(v-r5<fjkF*iXBTC6iXC}Wge>&58G<Os@aXsx3JB`0B0oRMj(C~u7Ptouz;(VV
zZQXDUQ>{J97bwn-PHMA+`ZF6qP(oTBGxHqwLt(<H`YjuJ!ORyog6V_R^+{aFcL3uW
zFBp*xU_-G>#ixp+^&q%6w#s=7VXdELQ=-|~(2=jSXWzE#LeAMXUmK%N{7Qr6H?wwD
z6lh*%pTw^V)qZNik&=TrTXS1ROeQP(Z-G@#Ggt@2xh{t;KAgf^OPy6U;#rZZ<#}89
ztPLNUjGJ>M7Vtis0h+$stVlZYp&LnC8&+HMo;_z>!B6@ph;?+Zq9hW<!LlMPh#9gr
zzgN1B-%1_57p};LMrW}oPXR43)3Wc~rrgF!PA~LO4I65Vf1oUut_hp<_w1B;DA28*
zd0p|7>}Y7im!_Rl6K?i<re4XQM3RL+S_0%akXaUTGrpq%eNB(^)ETJJ;Ew>$OHVn_
zUn@S{bV&`!9ZgIf4y8c`eUHhmj-06QbMe!bXX?OiwQ#rRFD*I(&avrCT!^0kdCjbq
zI^^Ct)i_~GkJN`wfA8qyLV*UO_NL=%pi{+#3R)SEX*1sb>@7EX=wV^9nW6><rASxw
z&6rRq`{4uZpLo!hb{0x6Ej7@}JWQ<q&WtQnJCvTx@gjzF&#g~mB+woH_wsENE6V$_
z7I;#HAMv=|H*3fzLE(gGK8FrFs=a$6RVG;g)rmWtc;rojzj}d6=aV>)vNXln8p?g>
zh<(yUeI*iH5)@AU7|V%1gpF_ix+{e0m{VP(_x2EdkxpY;Di^w2%-pVLFM^65Wa7HN
zh)`|%#FtdYjT+3~S!&3LA>oyT$WyIEP>2ob-Rk8*jeW0o0<VjsecNIbUtSR5i9(Qt
zxCkGTx!7X+>y88}Hc(H<dbzi^I+HiD!}-zR&(*l&Rg$PkoN0-pg9vBem?aZN1yBxV
zLzev^g>36q{i-L4z}8!o<`lFK={-u9c)}`!c!h}$3?d|${*UUJ45Kg-(a;WGvynw-
zi6_3*_>f@0+qu}hK?E)O|Nc$RkV7G=s-k|4BzTx}BCb6_40-uRi%<TQNA`|RV+|^5
zkZUvB8~aooy$^d=b5KbU-EhIQt?Sgl2TGrtmPnwY$~y1vU?r4cTy)0IO&yrH^6OTL
zB$0u^Oj%l)GI|^-yq`u;19%K*nq5ky5Y3_Zk&KT7)L&w@{9s-Ktb;~2Z#<GlsclRB
zJzXm3Rm5T??T98k-2TES`9ucMc$i2;RjZ;?JQ3$v7PLUP#;atpTo&cn`!n2BC8GN_
z{l2k$I#4wCt=Z<j9O^S+K2dp`i0EEl_%~~(3*nl%XyLLvqP90Vfi4o!?`LC-sabkZ
zL50cK+A1Jg%1-y}Kq6w+d6!Qb(}z<%#}56stAKnz%u}kV5K;cw2<rr0L$L6}Lv_;>
zk>7{=xm>BL=&9PAg~k;lAbj6^Ft??Ma1IKlML!k9-s$@NL^B4)jsclAMoI|#?-p(M
zlrsA2`T1?pSpZp$vwZ&?l~6qAh+2_?63Y2%QfspWaP!Fo=NC;S6kK%$V^LB-6raTO
z<$cKTV<J=T(u5*vcdLjm*p)@}9JCK^z9fT7Y5auXX+^ZWE?D-aP8tO+rp6Ahk>M^$
zIoh{f0nu!aZ~C8*MA!qYw@}O&(%eTYV^-wRFPnV(A~A9F#b&z5O~n}euJvZ()bdD6
zz;QSEmk?@F$~I4uH3sH5b$;@aEOPLp&}wYrM-pG<-?=gw!?=Ar#r;kh#AhU#-nz++
zb_ewgFZYolVwV6_K&rnabv0WW(eU~9?c{QxIXMHdKY3(e5@0h+aFasyZ=#BidoUx<
zHA`kM7cwyHwyWjslSI2>_|a+?IuvoK(Waf23|kGyqfPq6(V;AQQwv!tRAb1`miidr
zg2-utmX#O^V*Y;qR>U^`V~4)rn*%@{PoNOZf-q`gsb%-#T*ISHgp0ooVxUmse}}bp
zAL_J<xaK;yi1)E{bDWdFfEPNZ$8!YGV75gg%*^4WrRtJ;Pa~+jY*_cUkPlf=k43UH
z&)}+|FScFt4B`6AWZ{ypJm@N~AKtis3a7=tTgML=z~!&uHKFp{C~(H-{SD$I4i)|^
z>~aR6)s)#}QOt>g`hwe~btmy}LBj5-!TJzHN5ztC$$`*{ovps=6rO$~($2X_57fGE
zVS18ms3nwoI&E|sXEvkRyvv~n8E@=OIX9V+5SPNEM7>$OJaGO*$Z=iB(s@=SCcuPp
zeFqNVbn|#bSy#<qiw@+SwxN6w#(*d&Y9H?_TEM;Pss~3UbwJlCud0Tf9yQASu8$2`
z!e?KqeGN&{hP%fqy21x(k>o46r3}{<yq8eY96F~3N`DQ%$xPCqD0kB??&E8?fzE}d
zeh)2}kC%>BlcGUwTf+Blrf=ZC*5({aKWRc?NkoRjHEQ%XMrU01*A|{KmS2F(G~vF6
z;HOw&Y9uTZ>S9IS#ozZ;SV|%dV2~|!6X~Hs`7I*cW<wNcFf4THoskCoJ?G`v{elXu
z7EZI)YEhw_xxUuAW_9?$7qR-RfeJlcd74;sj~WRI`N}L?s)Md#xr^*D6|&$bBn$A<
zqG#gEY$@GpU>Nx(V_umW>021q2bR*IpIJNIseWp3%TwA{D~lS@z4}(8@5F%k1Yb>a
zuan@P#l@*pVl=3=xnKR%J|<*P6xL5pC&AWbE8F95X^>xuUy(2+3yQejc#cdY!5{e}
zL#Ao8DCO|`)45D+NPr}`W6?zf0WBK$3z2llt9$dMfd~hpqh6-E6GeoXCohZJ66lcw
z)<aLS;zYF6`&py+`0?F^=saQ-1DeazUl6>p*MqlG%3r=x1<qXEldP0XNINI*{n8{i
z8u>1E(pps&rcYc`o(W?{=X1Ln-}>+(UW(;0RHXv>5vM0|Ia$%D-VMsURX$XdR@QjL
zL<N3dY*LW_&W4nK6HOx?37}AJ=kT-<0=()xdh(AC2Qqj6eB3BzA7XsPxFDQE0FJ-H
zM~{SXq6Q_G;;Qq)=mK+}>Xr`y=$}U|HQnJt)qzJA?Qe@BAN9M+my8MUb0|E{tcM#}
z_bb2L7buQCMX7t6>Jz|&#@|eo#EXpbmrWw?OCT8rIiiyT0j&7!zj;68L$UQa^3_9<
zD7TH-l;sKmd_#R3ceDjiq;`ymnt?R>q<1Jr<2M2PDQB)c7!^d>YNYjd#WLuf+~|{k
z?kaHC-#q4iwGeW-B>eTVs2s8$o4#JjpbGv@qpj#a5j5u|I^tC*k3?P8o#aMTfkx#j
zn^u7sa!i~0V@Fg(!D46fZ|wQ<Hd(W`v|k*(s&%{m0arpDk7ir$N$l;L<*J&>EeYhE
z0lzz~2*~zD+e+Uk3C>Nl@zzR8p-A)R&e?BO&_ORAp#P`_G^P<;3=YyLn_A$n3qKKA
zwSO;C`KAuDb-jXOu`=iy!+d;b9TCO6=l^?tS7VP`p3U5>l10Pnf82Y4geKTm^4?l$
z!3!fg7wSGa)P4HoFu9C`EE#CdhSzArEv~gnqYZh)`7y8m@FWQtyVWyL=;(s7Qm+r0
zRuP?~<i1PVCLuT92%W#3dhq!wDL!gh5t-|}dpG@ygs=vt`uJc2SU9BNCDy8h&WQYs
z^p7JU9W3SZ6)q!)lQFYS^;bqmia1XG{zpWuCmPS~E5qRRu~Fd<y~-%9;}g?)Ng`^F
zv=17-4N&xsj!%GxfL5L@Y|xshpd3f)R|;e@M2~2EI=FYgHYIcT)2I@1{e16S-*+;M
zMI3XC>QP1?yk8|BHB~?ZE~^>09gKnV`k>N#4`n1O>LnO`Zm(xpxF5JbGKTLubkTpx
zl+XckqD=X9DRf-*_Q>prF`TxjOpHW|XpF&_e&UfhI!iNmsG7nA^hVfkYnLh@%>~w*
z74L*l$g!M+q-|r!*!5wj3y?=i9%(cCv-r@D5Z9m4fA@Au^wV<>nB|b<8!N|{ADl>W
zdy)23xiPqYQd4KlmO;xjj_<Xtn2}vRFIT*eF~p~g%B>4ZBhk8}<qK3ah`8oeInQhi
zEc=kljVwt-<?w+sxqcJBRif2YP)>&bhHBf_c_q+c!|(Tv@6Y3pDmwybjmdCn#CW2@
zKnz(A2zr`R4dDz-8{rh+0Agic783)6k$IThyXCZZ_(%1RQA5W7mYJG0#9s=cTef4y
zgzP$u^5Gk%iD?WXpMTBVBJm^96Hi<jpLbz5j7Q6N*)g#H{<*`mhX*M|ncj<h-G?pf
z=VkP28NmegbP7D;Lf1cV?C0Vcz@}L2&gJ_Uf(w^FukI5L^nS)L=z;Yh_FrGGA7h3A
z^f{$1-N9Lr%HJbLE*u%eu0(N31-;jYA3sw9EG{vj?o_q4v?~J`QRF$t5Q9Dxo5bs7
zrO_ij``q9#x_<0<QIox=jUG&G9H4Gkr9q#b>Sdo4=)-1e;;z<Z>OwrJrP#Ne3PqQ0
z1SnqU!3?hRk?V$aVE;0A#Y`auLi^99o(uen6{premeAFK5;7Obs&N~ql3CsKQ}4j)
z$~r&SrfY-rlIg9_WgEDFz=N@v2ThpK{kj7Ec`cxO_{!)e)f(O@<QCL>p#Zxoobc(q
zv)10u{%}CMaT(_e94MUPF2|1#1f**>Xu=51aX<Obi?}q=pqA6T8Ru0FAGDU&ge=96
zVex7U_;)Qb4fMUoACY_<uie#vu^pXNjlMa&#V6uvkyIBxtn{_|1B(X85N?mnrp)4w
zBe$ZP&3o~|?>&`s3F>gNM$@A7>kNLgWHe2~<2U{bq!0H{sDoP^dkHai8fPe58uQd1
zz_0i(*Zak&L94!Je$n+Q+{{a^-o0fAH}>hwxJ<1EqdN>Yugy;4d~BAwea@r!nNOd0
zIj)g_H0sdSlsAdL%E*+hSQ^JShVEO@@Q@(+D%s`e-AO!L{A@Hs=@hPMcJHfs0TI4c
z`bAcEPvTrVe_!4V`-j(Ta<9B05rLyFokqlQ3cqfZ#w=DnhjWIA5f-kgf=*e*BRb}3
z{O_~Iqc02>a6OHahySZn0R!Dst4|a&xYxgg;oyNq++*xqcla~`cBX%yLZpAV&Du{r
z--2a)AW?rZRF(jz&>b79+*!Q+m733R>?-~*PvUTjzcL6NOUm0{IES<7=P{-wt>bCJ
zJnXd<N-!bK^*cXn9;bC=6h8D~6VEv?FSfR(2vfB!e$M3!c*`Fjk0`z!y!mxyzq_>}
z3~)AG;_qL?Bg0lgT@F&9myr_()(aKD`@f=YYQ1Ir?hED`hDJ&hu~pkML!|(65>K)J
zUajDpp_*<5X4Hs(%nv(pLLPL3c5in0t>NVLj1w;wXwVPmtL6{8<seewj?0Yx1|EIz
zu@&Jh9lAQ^n7L*l2W-QG@n220@Yn>4MePm-)c2slwY^0aMt^-OXpY&z{|5j7|NjhE
zcR1Bw7`OMjRw5bqTKD4KYh?Srmn$ki6+%fgl$DUCltM}rSt%N#j3N=TzK5hlB0>t8
zWo6HdpMT%yJm-9#_q^|CJY;=hd2E#rRkQC*j<ryR7w*GWD2N3y7BVkBI4+3VOm;Z0
zG%3MzxxcwD+E~$I`=-vjoFb^`?L<?fyAq_lY3>)cXGfKqx>Ebj6VQInBk5}#N{~#k
zV3AqiK)vhGl^`UB_%*KIFU}*umHKmomhZSwYIz`gNWC~Rf3Q;Eeu4x=#hq98m-C?f
zOqEsF*ODltk};1oNZ_<hTJFFQA9|l!u9j3Qg)(`qRysLI@T8N{k!T@^lISU=H~3{x
zbDhBf%?TpN-s~bIbqgc!U1Cy~!(@>hC9ooIqh4>?Y{KnKKpd;aG9WFFCd^DO{Ng3S
z=N!_{qklvZ8)LwYa7O|87qEWsWso4_d|gg;@&>*`MEs!w5$TwC3*AT|0SA`@(c51V
zvD-@wTYe>>;m{XtUUEvnf8@0KNq;HSdWoi#@mLw<Mc$sA-00i1xm?tR2hylVvQxw4
zmMRLbIj(A3q6|#CMvvUdEhvH1#7VhBMm~YJBqF<1;8t=EtAoEBDjo<EEqtzy0^f}n
zYwu8l^wTS%yMz?b48`tL^Jh)e)byRg<e<R#t{@Jc^NQ$`fq4D*AR1y1`XQaXNduBz
z?&W+tLqrd*Kdw-YqN8794-9tSqQZ59AzqftN+|IAGWX>>TF9I!`e;;(4wBA&^@5@*
z$n@|%p~4_-<WOKcbL5*AY{@&b?31O6UQ;Cw3@~-j-qL}_f)_gQ#%fBn$B2w<tV$d@
zx^z&K=)*h7Z??hlexpezoPvJ5&+x9**G1=9he}k2^<mEEjIO$>2BHV3o(-_lMe=J;
zbWDwnz}(~p(brQG?byDMlfkNsWb8A&-5!~MhrGq}$7iVMQ6C|=<Dd>YStvCqzm7rO
zgpgjN91V?xo*Mb&sEx#<iGEKM88DNzt-RHRhW?baRp-ys(Wv4*4l4~a=##KBvGt>&
z+G~~(51BNS?!A<lByJ9Ear~WE?P<tr;qK(840Uu=J(d~u#T?rG^A_Io(opN+HH|f2
zRYY!k7%%R`g!@a80<lCYD#~-bW+OpDXO2E8dX>Y3l0#nff?pcw&d{*##~3*zxBDB%
z^?D|RMI<_r9Mn-qV}kYNW1G;`6K)rV%a~9rNES|xC8G;b64rkkh0zeh+%!Ct2^U81
zjfkbGB9Q(sGWZr7+LgK~Vh@=Kwk1=FWr@n@Z}H;Dq1-W?bykKow!|F1Xk3!&3ML_z
zv-|I2)?YDyj<-yqZRX%o^(|iim?C1L2A%Sj8BG3?hhJot8SrJ@M$z{2$Sa}vL~`Xi
z_RB@Q;);|RT=Q7I-kZAxdCixOak+8;FK_xb$p{9R2|9Z|9+E;9E<I_fY24traO5Gj
z2oO^CyV`WW1bVHg88q9+3$;Wckv}H^jxF;UPy|F#sVdtpmVNvXp6}}J{1pRzGp^K5
zb|F+WVK}s`A^>RaaHje<Q>flHpX7Un2Q951e4Z6109OTM+kys6;Mu4989zPQQSAAt
zHs@#oh=}_~SX?)T{UQ<(kwvTcoz{C(j)w%`9A9}5i;6K&R41a^Lg(;=naQ|oLINOe
zq%hgwWCV)!S{F~+jp30m8vc`c#Shg6TT5=n8^SVS;(nA}H*U^dXMABVKLnn2pn85c
zfP?E9=f$PUa6h(w&azcLI9hmMbFQ)hd~!(<=1gnAULWn%KUTp9E1@U*UIpocpU-ZA
zvyXmZXfu!MP$C~RKf8aUw_OkR1ZiAcQy#{Y(w|0(-{FJWg_mbP80tY$&$Vkx{*&0U
z&T0RMEIwGUV;HfdZv(-&orSce8SKqgEOG1)A6TpBmzjud1A(n}^=w89*jUC5jh(ys
zfswys7xRWL%>11C)5ToIBsjlV>2~u&$)e%!KWw^i{-1Z!U*amZU(hOJHBkUmoPx`R
zLv<j1$u#ufz&hq&-x}U@Q4qYN%lUG6bl_o;7@lXv3Nm-^EVM)lK`2Sgr!-C*2Bc0$
z<lJY2-h+qIj6MoO)zFt~J4xEGr&&93YK$FJk0DO=`y!AfF3W$WR0~qyc!aN+bAps~
zQP3U_0`z}cw?6Ek1;=6wZ*iw{f#aK}uUvME!cx<~2y>ARXRyQqP67|)rfH^|>=A=K
z|CD&$AJf5=?bI@Un-|>NnsX<;#UXE>O#P<abf8@-<ZqSdhrwnxt;nYm5am9rP|HCF
zmWFQYicbO%L-6`bUX%n{lKr3YDjJw}P=>$X5rUSLU%883QcxW%Vor*nfko{{RAe9m
z`*{UBL{~S1Uck7a)IJ(yr@W8cV@v>U%D8oCo($x}?n?>kG`KdE{T16Q3L_~l%j8g5
z@E=K%ix8s0!<Xhk3m3%TRP+>NotFcph{vh33slH^DmK_$EDrS-c=NY@ln0VMU7RsS
zg{7p$gFFI~V41jbqiH|^h%?+L(pIRD7ID`1`MFIn;@tasoIr%q?($JyNg52O_dmVz
zPYNO!gCE0fNT6!2KpZ!v!Gn=vhUh(MP<(5VFOjSSi#Gk6DlgI?Et)&!!hc)fSE0R#
z`-C#kugP2QuctwnM^A&b%vLbjLHp%qqY5!8SL`!4c;1&K*9T*fhtpk)^RxMCkaaDw
z`p#=Q?D){$o3bhoBXO1Pzr`u=V~^7KH)}1}D<$FJ%%KPm5;WOL{nVkQQs4$FyEgD%
z&kBhYCBkpf&z$!vG{BL$cAna%4Q_spqsdAn=-l$#+;LhHlK+P3|Ekr27`YSOR)$KD
zScTemveCf!wVz*Qt1cM32D_zLD}!pelkDX{8eD%p>w9Ev8+Z-;&g^znfib}rkM=qm
zIBe^;mtyEcQs3ya90yf!-t+Uz*%caGB=%Y7-!p&--ysemb2YfV?|ktz7ajV0FdnaU
zLzriClg^VQLlI4BvUz|8hd#J@PMtIcI8)~<T~CI{!e^BNaWs(dbN_trhY2J-eN`iR
zfCBy>v)_b?&|vq8614(T3|>sPd(Ko)Ak9Z~6))EWY``r(W;?)T-7Wt~Oj7{=<Nwu@
zMFX7Y<!i5W1BhwQ|52Zz0OhM^*WU#)B<P5fUmsyW*C>yE0!{(j_z0S1fhvULJdM2Z
zg#qVt26clSDd4kZ;Jo9855vw?PhC+ogS)$L4o{Yo!I$Ujk&D$tX!(0C{lEb;m|~mc
zDWBQ+zoIPDF;fM|Jn)ZS`J5SuG!C|^v8urb&FJj(`?B!<Cdcuu7tNqhw=Xe!R0Y<L
zm@s5F=Bq^<@tt!wgWK{)C|;$?5cDlDab;tEQv=31MUBls>7+qbf1nb;$w#*x`a~eu
zb<408s~M<Vm%bmYNCIeoFP_NF56>cx{HIsKfZv(r?{z*Y!nwSgvpJ@mAo`K8@8B^8
zJXE^t>Jp#;TN@v#vbwXte$m@C@jMLBUaN^ZFE0;I{gYyTcP?W8b)20&^&DV++^g8+
zwJeCRJ&;L@oW|sDRfGte1Mr39_Ag*E5Y=FW7akbJLdlPE_LO4aC+f64Z$b(Vu`Mhb
zsSRMRRU%!Ie@$UxPGo4$dr5F>Abh9o=*CPO&40QRO~I4R{;lIXakyyMnIAvWjtQKN
z?tS8H0xHDq@7YF0;l~c=&pwH*ShhloM|qMlu<<?9j@sadN%!OfT9qx>2P0a)O@|Sv
zPLElZ`wGKz+LmF>p;qjZiNk|@StA%R%-MClPypOTFO(e2XvZFmO`j6-Fod`I3ciY#
zd~mj(+83Dq1N#+i7k#SO0PGcpAEhetKx$2$2H5<<x-Gcxf8sZQN0D+|>1JGTN{qTS
zf!vQhNwpv0ao2|l_Fa61X&mtBR^invdxtPF+bUbZcN_X*7R#_SWrvKpgUg+-hp|&=
zyK;$=9>n=CxlW6)f!!5v*Inl0*x)Xw@552sfM+G~La-z&FsnYCtO}mQPR_Bu3|rKN
zdLQHZxt%QVQ?l|`qxUq%=5P1vq=zol?0`do`_?gcY4d$My=O7U^g_GnpE_{<5#<(_
z`x?fbPE+W+G>?(nZA!n`>p*C<^O>f~RZN=4x{#T+h+UpPKTK-YhC$u5{wkMMO#95U
znT4)p%+mV9Sjb*&IK8DeG|FTZbN^{Hq_4e-WeUfy{n+rI26VwEPY$eNj{lA4_hqbO
zZ-=Fj)*&sRc8soTyk5l$KPAm+$g)E9PO+QUN9f=rk)JAVwuWs}b9hp7kqt&W1;2G&
zq{FLLLjND0b<At*l--fP?65L$zJ)1Fhb#wMmsvIzNLjC08NJ8}`70OY8lTgkPk+iM
zD1`;M-zH<hL~g+QAE(DLY0xt}SG;pCE0j#GZSol9fn!u#pHuZz$azzdHL1V`41YsT
z-8MduC>XA6kfcIE-}R2|!t5aQ;imD^-vZF^MRDY%w<ZjKmLm8`bAV53nQJCd7_xr2
zcRl!|0qcoFm)n?}@U1rXw%!L3;0!*eY^tLHM-sn&Qj6gN>w6bj$daOv0xwzIveY5#
z<m&RlHEv)p+1W4=A_m8+Sv2R#>M%KZwf<==FMOk9d3EzjfM|Shwo)kt;)BZ+PFeFq
z_F9|9z5+=&_@9f#E+-14+f~bZ&;`M$Y~uFoD^l?KLxuteHwE%#4J|y)H}F-*Dp>eS
z!=9l7B6=Umu)V$hXlb<w>@j=0v@LQAT>Dy;y7eI$*es=U>{baNvH!4SK*LrbtcG8=
zyG4dWI-+c1c4A<?=q*v1A`f=CCF1RO$v_n$@r1q?2c~rDB5_y&+*k+iZz&;zrc1<G
zNe4+V9<>$--bDl*GrUJ+oeV}la$Ll?q~NCNoqxOEk-%en!zWoE3fx~#PCMVW8D6P-
zZTH@-3{(}DbrlYEuxl<rKR?KTOWo$QSK}%Woie&Nv_TzI9d##}owA_ZL@VvMuLj>f
z%uqWw`v2iek<djhd6<&#lcn2IfSLVnJ3A*8%q-m6rKk$9vaTcKB&Y#XX+olIK!b?l
zZQ)_=im)|UB6Q`QCYV=gR_7_uK~2S0_S$nI*hReJZqwb+^{I=O9;s?UcN=1#nIgfp
zt4&<p|2FjHki1}mgEl19WN5wtWe`d2jL3UI2j#XYiO)GYu$sWW@78S<2tQpgxPobc
zi(j73r1D12$~<E&_DvP!8rs<gUuZ!>#P5*jHF_|bP+r<BK!#6WeyN=u(E_oAMNYV4
z03Y^Ug992ADAYN3&uvl*xQtYn{cVik30HY}vW7Zjgj~}7Qmh5ytgFIDRZQTxPV9Ro
zhXxQrax?ZAYr$~YyV=DRQ@B-@J#aiz1CBl&YRJ7rhgs)>X>&J#L?;gw9#KuGR*dDl
z6+{ExU!~`K=nRNE*%RMxs0lk0ea~rJ(S&^I0JGu|29z#cCf01#1X-Jt+R4u-z?FSg
zU_9Im4r0b#KIIy4&6n$?%?(wEKDxU%aLo*^2gqsclhA;_p7NWz%#=XU?Z*AGz2=Y=
z(B$2+fj`l5=aHm21+b1!58Z#o9OB2e-YpZLK;PxV>2X1_5NcgpKXt<#m~C!uEv0IZ
zdZ70G506a%&j#Jv{LP_t|3zyhGgWx(T5;X(I{{*=H+>H`HHXAgJG^$jREB|-w4>h|
zc!7{avXq@QgV|{&vx-XzzHGnq(a?|;%G$Ch-;&H=VoIgpuoDq#C1O}i)@CrNJHf8W
znr2{a+PQB&TLI4XE^<9J{Dt97`fJtY447M5`frs}9$=@QTm(lE?)F7CcgAAF50Kv*
zZ|>Ow0+&x;;y>4mzmvI^B=8x)&?%_xS;uCWeD0^Rczz7O_U^Hgfjxjodc{e%bxAmW
z^Ay`b^=W*^X<K{#4ShU((St9`Q5;SksNm6Wp2bu1t5WBiOyS*N#^3IK0*EZV*>TW&
z9<L5frCj)H0-~M)m7Y6<!G+r>ykC0(SE|bzFcsUFhaDZ71Z{rUXSaS-=imbFT3j-F
z9W#cGm?qU@SGmFDOXY<vLJN4~B*D+}v=Q9k@oTtC<$xW&KfV6*na9~w|HND68bbNw
z!QC}_tQ-EPWm!0G4u4jAyhMM}0G{0_=$%$x#RS{kDMHD!IOo(Mda1qvh;%33DL%J|
z#c%JT%g4;%FAWLtJ`wuxC#rUR!EP2S9A+C7zCMkoXVspX{-FnN9+7<6awoA}ja>D+
z!l&?xq8CxKx_VIaz*V0*HG=IHgh$sCCh_b80jG%x+aQ+xpRu0JASR+B#}R&h0)G+V
z(XO|o3l_}03*OGZFbB6yeKE`9c$iDL?et+?c!m5dZgF;CN!70X(nVwV$=4^Vq`&BZ
zkI3Oev#w1TSz>dLQ0^!$&L$Ul1$3abx>L7@@ebRcp<X-CKZ1YcoV1^PqYW?0Ybsyp
zzQkm!+Y&c9jo>r7Bxzf!Hi&ZvMRR_;kBdcxEnemu!CwyZN1xf)?*h4>ua-OC;^)`B
zVp5ie@iz%~M@==fAoA+x@X?g_xN&vpNW01iPW-UPJvN^XX4`L6mn3|~|Fa@`=f;lU
zPnLKJYz^peU&>^b81fZY`uErJyWS}7Q0P|cRYL;-k<9l|EN%GSKPT>cOON5t89VO0
zv)$k)8;-`zgWqwwsJQ)z!8m?j5wc=GQo-u$5F_R3Pkbb2SF&r;Up#TT(Wq%k6OQmM
z+dB96;CD~69oLnf#78B^ofH%_Vdj3Ie?WXMUY&|-Jm;Ol-?VS#I^nRvw<EzqCeV+E
zYOcy%mYK#=6YA!#$Ew5aT&2k2<pJD+AutuQcLwj{^lb6^N`VviT=uGd8p6Zp@;Rk*
zXK_}6;D;=mDd6ERF`iKH2cPvF$g9wv$1_y~4UOE%;5_uApt*bmPp7o?#SAXsm9JSv
z#fsIy^!?<sxY03OgvTgc{=*V(Ju5MFT}TZq50w;DSxn&l&DOyee*VMVc)xL{daDB4
zV7htrpGn;MwC{B~c@4)qS2T|`szAt8l|=5&X<VwW+_U5W3rZ<z^_$zK0vUIo?UZhq
z!D}cj`fF9J=o~TT_n8c3komBSRN*&=4_PEUleb|<S>+#DH%lvnZrJbmB;y6Vx!AZV
zkBt+Nu3u#k6O^Fyt7rAP_7Xnx<A%|LelGMVjqmojq!RGNP#@+v|HDZS$%pmkc+e%z
ztGdIFNbtCr_flEOD(-tk{Hd8SKXOUCgs0O;5a5Zy5mgrC)KWnit`J0;FP;@Q*AXE%
zP|tQeo)vWzC5QB5B4}(?K4q5=5gfYaX04UjQD_>LJ@bx$ibdVz<u?;ygpNsV>f%8A
z6XSYZeZ|m&;IPGe&59643^=KdxRBJsO#59k2{iDL?}%lRBG^$%<KKSeL8H``AF|9%
z=#1FA`vf0FNFL_s*WJvIx-I{7WS!lN{GU2{o7pOE<h{s>L-z!cJ|kl4SC<Srz4Z3$
zeQQNPWDn^ivIx?jUlz0p-ip$4Xm8vPDMD19UaWgI0quGF^W~-&@~GncLrU~5MR;0v
z#Y*2s3`sqAUVoskh>oV~q`m4;-0&5Dzott`pjUNgcWoUcB6fKbTf+^1(L`g~$q8&i
zZd<#4_2nxeZJxwp|6w9*PWutrPTq{_F1>4EJXAqrr#f9CN=eYCHA{;;D}%Hh6I6F+
zs-cUTCU4?vmB8O<Nt-z-i!z7HO#B)s$U*<`ts9amkUALI$!9H(_Uk-$=;6>rJyAd0
z=Qr}-_~GbB`->D%d$!m27!nPMDz2rMXOh8`tLXkUT_W1w*+Hn-PDk{L%G}dy>Tu>z
z8DDEH2|Zq|pVK+4h16=BqwZBu;d)Ta7OmsTC`o<2UBgQoRR?~G)HzFsEjopGtDq`U
zpM{h!`*e^+(y?nL+qL0IHV>Upq=xG9+4=$`b<qwYS!>Kj7d&3ieKy`lLEuOT)=$+%
zlVoyS<4rx#@^fl>+oO(hPB<qD{?J8RtNq(p{u+Qy;j$fOrHRC=y4U2Yb&-pt`z7m*
ze2v$c#(ITNQO{+!u53$P^yJZdp*ORp;5d15rO}v%!hh`{{c_hqUnBjKGKv6PJ3llL
z;%F!d3lNNz)kagtPeqM&Gax{Ey3VkIhMqBxHY=Z_qwO^^!Ow=wK;lncjA=0qF-nFz
zq&TSviyo+XS8Wd3WnraOS7_)Uw%Z-$kWo2{za*PC6W9-OS+YvfP`QtNfU2Z2YF$w@
z?(1a2_gMWI!m1|n+$+Q!yr6)1CQXXCMJ+%<Fg4EUk_HNCJYbeAB8`@A)8nVaETH&D
zV{36S1u>{RV!<s0^ffqpSmiepT+=Fk^WbV|`n<Vh>?jASi<MfCie~}`MJVE3nhI(l
zZ|XhaHi^G?#gC5=na~ze@~t6236ZQw(szqmu$*d#*0Yby;aFq!!)OyCl5qNgLbT>F
z-<x(3NkZn}(^8b@EUbV^j83W;|6+xx%gJI@8+qRp1^hfZAd56#ioM;$!3{}<MDyQ0
z49Ja&zqI$qW+Zb&pySg!K45#h{620c1IRq5()5KS(d~)Gjwgo%;ptR4Rk{?wR>yFz
zD^wI6U)5KX5D^A(b?3NtDnO91@Z^yzLP)h-Nv4=f1hPgH6#AVokP=e<I1t8zvSZwi
z95EAt_}Ai9GH#}D)=|kXPJ$gBwz3%Xw-EsyI&c44pb4m7oW5b>xPm*dvAyUr6oHi`
z{>#mY#&DX(S+Mu=44z=6v=A-6asKE-zN{J}*uGh2Uybx{{AhLWk=ymcVBg&#9=&P^
zZ9UE+qNo`+DN_njKPe2>cP>7P0z;Twy8TjPvJ#^>r~mbm76vKto~NIp4B*K#t*i5K
z-B_K5-R93fg+PfP^9bwJheI(!31QL0n9zxV%8)W4;7|HoCuXV-Pblse4|q&r4??@&
z^lsF-Z7lgGp6G#&Qd!x@lsSy5`Lp$RuMiCI_L@Hz&;vBK<NMH=CG7PcgKJl5!l2#o
zlsXi=4KgL%79BWNu^&%(!n?ABA&f7h+j~wIUN;cjswgb5Ev3)AMMVU{$+Q@O)4Jf?
zNjUJek`<b@U5%1sMWD{^#bEBd4xoJx?Z+7G5Uns@*CI-QxJB;Jogq5Vp7F&;s*D3J
zo2DNVctL>f!*@x)g>|6+tySX?l?(pyuo``K5e2Qm5w(;IZ3uX`BoUOs4LUv{`!ZF<
zU_Yi18^h2BXLX5t_vCrup3U$(BSCRUY;8aAuU`uq(mU94Gx%V=J5yX+KmrJbQoBjf
zT3{-DbgV~T08DRlQ@1Ni0;8>Fv%85F9O!yIMCcX-s0obHJ-7+H0zC`Kb98v)IbAw_
zPZ(@{f9Ji+m4d;R9fXBKI^5iyye+Uu1XOwJQ**XTgTY^}#UsIV=$xn6rsWdgzDD-H
zxEC_;_s_pIx!rWgIJAl5W|1iHo?LNXbCLzU@Z_*%G97%1b)w_Hh(W)p^I0vD929+}
zUj0F!!`p<dA%uV8u<k{lB}B+W{L1EkbsTh<wr||4Y$ypHX+F=?ZYjW((Pyor8};1F
z6Xu_yH^E_rLmsWEitsyGK0aKG4m>Z7_r0B$f-m_-o}@}5Y>TDmEYj&PSyeZD?2I%h
z7!^|UM@Ya|{45<mOox2o<?&y<TOfQNm&zptWf1g@3^|cbhj@Q0r_TklpsF;#y~R}p
zSgR=B;s5BMK4qkA93Tf1w>Fz;r>O$-U)#uY4=rd^bRd3uA`h*e-e)KSYM|{!OE(+W
zg3jn@&9`?I;KZw;rtR_+h@xUEago~a>R9F(W~3s#VCeF%?N*0yD@(&Lh7R;;>&P&!
z6M@Zidqj!12F&wb^|>sn3-&Q*VrD`~pmsK0sn1Ij{%Q?aGFNp$byL!9?hqvi?sp2@
z!lXjbjKB??MGs^W-ih2fyOD!xa(iONsW4Ho?RTrRKFmuo7x|8=Ky4l=r9hJgjW(jb
zrdAt%p7CMe3aG;A$6mcu3mQmqnPY)rhLFF!Uptvs4Qx_Zc`UZkAnS@nMoyg(Y>BBI
z=`2x$#0<Vyd}~ygPB<PsBVq#ear5_jt;jGd5qqH1hzgyyme~Qeroi<f_3w*9GIZwf
zQ;sQXf;vlO-^Xwa4pq(HnOGphdc9)CP?b6;5V~pG_X6l%$WA;cOaT#;zH&v90uT3;
zyZJN$Bni%Gj4YBNHX!F@2X*89%hzNkj2W<7IChC;<9?p3nmV5?D)4tkj*lA8fSXe0
zA7U9~@I37=A2mjTx-jl*S6dn2Cih-lC|wQWr>2jq<txG<yKW$JbtC6ya>OxvRDrg(
z=9_g<9<I90=ynL1fp~!XDsfQ-vIF(MWae!F6_&*Kt9)hv4EN8zv&v9jnRr4pTM8~~
zJ!2Y9GhkNT+{V3A3F`ENCc_uR!Jyga{ke|}FiM(k_IpKwSKKUd1L*`1r{=Is-PypS
z()+dT5)tN_j=l*B5QLq6lTn_#7$E84;&#D85l+1%JFfch!2bXM0RR6Kmv=nX{};z?
zSIEBhxc0ikwdeb|MkzvMR5HqnLW#_#XqbIf5+bWX$|~f36lGK>$(BfxWbg6o_wRW;
z&f{^;<BZqym9ERC8ovn;aD6Dhh=%|&&(u+a77Mt4X1`iq3{W+Ahp<JL2IZ2x^3i$*
zkhE;F*kKD0Az43C9V!V?FX|SZR@PBLlF+ZbF$9v*+{&e9;;?XS>QF)DGV0d5U%Q}$
zpkn!ycBY0XoS*i1z>u<ld@kn|*&a86vyIQ^hfRfHCURxstLGe=+i1QORALN45^<Z4
z!h|5@b1RoS`z%r*-7dX1X9Nti(~9z)0+4tpW$}Ug48p8@oEr>`fW^~-DZ`#0`rk(`
zkZop=H0$`C*eix`uU>h)XqgvsarWkRRWs;F6JgM}+W;a8V?x?5^T3018=_Kiv*;#B
zHy~95(310}2zzn^Q~T7HgGF;_p;2I~=%PN@XrE|hzQ74q?$O1RoeSvub>3%JhV@{&
zVaif+gaeYJx|zpH7SYQyaYu(i4<^^@-n@>%fpAXD$Jm%<^eJz|q_j{MGM!gB_c^cw
zuDvZGDr^;9N*nI@&8rJt{ja~0kFbF&pFvpYf9q(s#Lb%Ib2^|>c=91@CMzs_3o+~M
z+C=9!2)EMawBg#RuZEA<SYc{W&e%zu0e(ELu>0$;4dUWBf75IhnECcSSKf^g1P29F
z@_%SSsZZZwaA$$*rM4A!%9y~p*XV4yw-%V>y=_0Wiv^ZicBIVWSs<~8=pjF;36C4$
z&!!^_6hy0S_ocEzyp4Jo^Jz^;5*7;fyut!`c}YU<a_lfS|KHi844TjwD(xHI#{#^*
zx#4{uaL^fhQ{qS(6=>|^o2Tqpp(}m0b?)X4z#e693aU`yfxTAp&`(zANe_9Kbe0P^
zZmd>4Z`1&RjdIP5`)q(oSvj}I?u5R8SW=+3228{p|NS|V9c16jrn4O2g{CA|;ftIa
zkQ0}3a%VUWr21-b!?Ao&w$cBbR!srP*r^<WTO9DCaPWC+JwIG8pYG!Hr$CsBe8OVS
z4zMCTvwMga1imNv6dM8sa3*ynI8!d*{WFnqEI|n7ju;OMHISjVL@;5fof{b2Q*_3K
zgyGeZMWu#)WN7!^DmRJefo!QoJa>Z#6xWv`+#eF;%QG1!SMb7<`e5Ij>te9bQ!|y8
zMFQM%z(#8=AK08^HPj220O6&N^u1mr_|?_4$G?vsY!(YA$Z=A@6Lnt1*O&x{^O=e-
z@(BV@pUjrYAsP7ScfZ_Ug9LIq47(J)gg{5b`fW=b0US4viIYr8U|s&-(%uhvFtgv|
zgMTdx8LL^G6G0?U=-++ewSx#)sQLxo;E{)y6YH1d8%R+3^UjFqk|_AaGTmGcRDg|7
z{NEe($dK}lTAolL4j~6boX_+qg8M_2wz)nsbP%ujy-$*aA9=HavbM@lc_&$i)rkV<
zZf$U~T$YBG<%c=~A5<XlWz4c+4+U%)EJkQ8GH|admnLMR1}$}uLTO<d;6vEC^0l7;
zcB+OZSDMwKxX8<!gGvRtG0Lz0Wmz!re)3gEmjvF4q`%VKnqZk(=2#~t4+B}Ub4QZN
z&>%(Bh{FBb=k_Lcc~b?@%<bmw@uEPdxB`ckyf$2C^PZgaQG~G-&2P=)6!0Ek3^j4r
zfs6;@`8@GTP&iEMZno9{RpinrQ>_cv22Y=*XDY*YO};8zk_K?b5Tq-V^dZg}KM<U)
z0y1aq%ti7w;Igh^*4iTj2-BVn5KK^o$}kV1Ggmc$za>FfRNn|v=S();?A1V@lqI8N
zpaDDz!tXCM8-sEByu19o8W`VsEbmf50h7wLT$g<aO2i3AKl!LbM{yg<oF&6fkCM6s
zcYvQG<41=J)gf@Pf!_sBg1|jut=a6RaEYI!LVKzX7FP?t434Tns)hPZy}PEMUb0PT
zk5PwxcSfT`166=r<a>!%fCfAGU0#Ort3yx7W!AfmiXg#aHLe;&gQiDq6MKTxz+I2p
z{DDOtmRg@=ahA~FzHv-{=p9v<`61vfXik6&<BnVO_cZ7eOiJ#)sRG_g4g<qvNeJVM
zbbi%N19o!O)<ZvKki0R$rm7$UiTlnxzxRR$VnGL=F-j}J1AK}w^JM{;#C4T4T%*B9
z?m3a&bOq>6-_Ms?zZ0~~14h=ZXb{|nBevMf!`iHOm*7Qq@S1ASrL394L8=_yZb%mT
zocP}8Iy1r-v~WZq#}rikziAEy5Fkiw0qg@;km>2ph*d*VI8sl`j%JX7$vN&vL*g@N
zEa<|In$G}Di$UDhG)ZuqaJ=L%HHw@QE-XCq1F%6GRaYN~K~$;L2bSHRka<|2wB9NL
z=EV2D7gR-{xfcJM^r{3A&IfMv5D>Uc7Ramj3&DP+oVN~gFX`$(^c~1HCLpk7Vlq)J
z05v}QZroyMq1V5}!cwD+q1J@A`eg$j;H!6cSy;5w8#5d~^^_SwsA1<<!C4+yVj``n
z@9Ut)epCv%Flh*DX`Y+!tGM9c+uI4-LLcdw21M6J6+<A`-*5Bo<bc$KTTYg@o9Xvo
z#H2nsX#lGB!wNM<?2w9c8I>Bu==kdMMoKUB!P@!m2et(k(79WZz06Qbm$_3L#>1fx
zwMpv^#5pFQoUuvd)V_lry7au(Iid$rd&J}?H5lPWVb96wiaI35snB%%g)Z<hstIl#
z+D5odh1-MLt%x>%ZSAbEE<}1giYR)$fx-_M6CP`RMl-w68YM~xJmpNji6^b0SqtCD
zb)Q~DsN}8i9@Pc`e?Pi;<q9e<NU$}1Jd7@<9A}!g)rPGY<y{zg8QF7J_#1A0M`26e
z9r>6RjGSiwJH5DwGC1eDQ;Fkf`}<Eue{C&L-fcX)%CLy;r3i~*-oH?fSEjLKsV49S
z83c6gSwOUq6a&vkQ%GeeTWOK1CJ^KQr0ad0M~C*e3&=Cfpx!k1ce9VEV3)wKJMYRo
zn)=EXnO`-FjxF64n;=nvl6bFnSMWS?d{N1Pi=IcN=z&3Gl?EJa$9eE2%p=yplJ`uG
zi|CbDb=6%{4d^@Pcp$ZH9tEq9I%m<A5##1FHPk_YRMR_L>w5p{ar5gYTd$&%xWW@2
z|NfK9%LIS%_64*z-SwHrnROJLaQ4>XUow~y_C2&uTtu4D*}95vHj#td*<J}*GBj%l
znOr@+gvjY`Zr+j%pnokn4;>;w=S1r(t&7V@k!8w$HJB01RZsK>XA(hcTw%egW(7S8
zjAYwC%mkrz45J^vt3zgPtvHfgL*a@StBL|xK#A|c$v6#lNSnK@!%?!1aweV!2a2+R
zslHoBd%PNS6WdOU2X3N{R9cJO6gv#HPd;D&p$dJ?^_P6zw$Yn8Yn$B@9B}1{xO<?r
zDv0czawflK04YndYa$;P6v=tyX4k5KcJgdp#N5BT9WLm55V#XsRZjX7wN#)bg8uS@
zDKlhiM^TCActK+P1AMJghSAXVkmBbo(4<=HJNAPQHi`SIFPkd^KUUb&vWpG$8V;2x
zoDhJphT}hMhm;^JhcQ5l1qW|U`{L?^g}~<Em~3L468zDBQls{p10sIDY`Qvuhe_sK
z&M$^apd{p_uED?s0~rh&;on8zrZ49R53>^7UR;ygvfK$jN*esVapEwmbkFSKpdvI5
zT(o`V$qRbbtmpXMBq4FNUb_E-B8aa^$9}Ej1A(eM?&a^&AT%8kPW!3|r_QB6{i-7X
zM9GH@ocjoXzqH@iZ&ML??zec+I|bqD$04`T#(%nej&ks(xe~0@w7ou^j0c9>F_CIc
z^5AkVu=(*bC8$zP+Vvnr1m5JD@E&4RglE}Dh0XRT!^ub&+Jgu&pu+iUtBp!fo%UNb
zO;81Ni-)?*iY1^p;+^(^e|nWts>K)}tP0WlZ!Fx|lmb!VOj*)ZH7GIavll+725(4m
zO^51aAosAan#(yNyv<JSkQh^ktfd!r<(#rmuC?c{>sd1Bus*06sv|+`TN$3w<8r|9
z)brxifBL1V5v_FX3<ac1<BlzN%R|F1+l;zg4fymWyoIes15RT(?k#&2VThz0Y#K#{
z(}Af}FQO*A>FcfQdZPp$w<vpwx|%>({b=CPt_5om`nSdPRKVGCTsfvy6Cz5R)`GKi
z;H<|LI^n)5^z^8U6{u*z!9&qP5@~wiZ~Lfg$DA5GtBFnZv(kdr@T9rKd;>TirWN=@
zmI#A!m8MJ5TEJ20Ks(-S1m`JX!zxN7Sgy6bOD@!e#8&wuxM>sk?0G{daGnHRe#aZ9
zd#I37Efsk80)RBJ-%dM*4CBe)Te$x9V{%lW#w5}dYQ^26|JIV>fzVvfm>mTS2_fre
zoN2)2Q~9^yAsM<@Z+Czr5mZ#3UtHle179ZkfT1}V0#|yx!b(&?y|%FG=6y5Zc+o&B
zxj_Q;C#rEZT?)_^;5*mKWDb5SFZ?7Dh@cN?dXMG^FyI(T64o_`*r+<U9usva+v=FI
zIVb@O9udE4kvZskY(>@9s=~lz{~y8KLZC8|E?`P9hrHY8I7~QI;5V(ga915SOlS9}
zR*aaz*}?s}F$PL-z3<XidMFd*XKOYL#G66lT(!_aCj~Iqn#xQnoJFfV<+A6+%)nc=
zKEM9o+;Q#K)kE59&{U|#(cT=|zdj;^WiJvSOKB!{$a|blDgFnAk~A=Q$If(Nk2LV;
zy%yYUwn+Ei?_A1s+Z6c!$`Bc<#9`UPi??-XgTCjnj-wB+DR73p^<uFXffx~*$0I5u
zcGVY`fL#a3<S(G7$o}(v{o2?GF=ou?%}hep4gjt+Z-p)rKlsb>4?FB<!Cso#U|+-$
zw6>fnM1OZe=h!0WAx2hg&$qrbq;3Mey~w3@l>_RO^*QXVSh0%9h9j7zF?^^n&fJJ#
zg<h^aVuvLw*5NwzOC!JtM6Y@3R~}~sN^K!;3Lh)B(w42FmSG5dIp-(EudSnT9<A8X
zIu^`cB(PMv!vH?&v*A6M77<Y@=D3v$3zm2EiQ^d_1275u>;LiKG|Fh77h{-V#;nx(
zeAArtVU;=-@pXO_`3+eXq$Dz9HiS6xc)lKx`x$Uu2fv_$Jq-74^q8?y^MY%CR(0Xn
zg?`3BayfEyKvS<5nXn04(=n|Bx=>kuh}Da;k#73Q-v!^wgbncMN4iw$z-3F`pnj*X
z^pL7OKU`lhVQxkZ51A!(fExTEDx_?LuC6z=-tn3Vn+ubw|C^u<n*7{<<JEuCqx@R%
zs=t}Amf?v1zOQP5e)kyfA-yR&Rou|0l*)`LxmsJ51Zly~um?g;XJ+WE7ru@9-DSp}
z9=*3y?VnE^OxS%<@5vnfYx8d<OF0(oc^0P;_-n!u*E1Q>tqb%S2TmgCBMYWES8%^~
ziVEzv9y@dOF4040gm9wwSh4y6yy#RY6;fTpDpbF%(5vdRLZp+}u-6B5j)yW*fyK#o
z=k=d!bnl+Q-uMD`>_zgQBjITpu<v+zvft7M-7S@r*)fX425j?{nUw$W__P{#mcTY$
z``JQm^`0GAZ^vFHwbvB*#jF+6pT~f`$uvxY0ZuGr&0Uz^lLF3%iUs3a7%>BV7MJR~
z+*tf_;j`~76wvv`eDya2Gxo5uaYuOq4`zvbbM)aMG8C=oX^L61U@ftgq1U>2u{fz$
z&knyJfuO=mXSq^VY^y$Q;^H<R_Iq#6#~U&vP(F3{lY}Ze)|uV!uwp5IrLgJgaHkW&
z&{8`{=?xCM|1~AM?uj7QbZ%W{5KjbFmX{AtMeo4a?}$29Q}NjIvqHk8B6Ya^JnOQF
zD;Gwx#Lf2i31b~LwN3%M)Zr#2gR%ecPE5pX>as+UDE8<1E*9FV8VEX<IqkRL#q2M|
zlsadKV_B!)u|KN+$NlUcZ?;bHVIg`ojZiL$-8d}o{x?Gn46fUk%Dm*q%KR4EU`ZP5
zyw`rQHc<^M_S;$>6cxmrmlhm~Gzb{q?|zWVQiCb8lfSjog|K(_(m_XJWU;Q#C35L)
zYVhK}@i8HiFy=_F%-I~2!&0*8e7utCaM6B-NBV~d7SZtYQo()&tn%g)yV-PgNH+F-
zB3UbjRrQwHJ?~Y-PRi?svl$Y>Aiv@4(J~3_z@z2D_+VwMrG8W~oR0)$HKFIS8>O(%
z*!5s10adJb+v;h76d7uwGKr2+GT60!ofgA&YS?>=D`{Jr6nI<0s-=`i!0I=ye$)0L
zVoO5_Vveg6ND--^?)V~$y?+tZaD$DEb-#_$yfvZ$O}^c`Bl+YpADlzcRVxa%&+Xpj
z)6-Pwln5a3IVxar#WpJu+Z3$#qqks{j22K|93=<bQN&1d^(qZn8dzT`SH^g_HV~|D
zv<UYqVZ}4=ybefEu}`V$YLl}%aPjIc`3xQvtfn?Aspk|G(@ZE$EV!lz3`YC%BDGX8
z5>FI^Tm}_uc(u(_WoQ6z&v|-XLTcFE3;RYF<Efa@(Wm7O8-|b^eESPdSsf#s`Ww`&
zPsI|(hC6~AjA46+oVn)@b&NTuW%l-C4Qy^Zb4xK6fjwR0L2wWe%N(UxWDHWU<7J=J
z4buQ-qb)nk=tS(QsHU_{5gDs6<KR?uFa<p}uY%%sA{OYaIFYJK#4dhL4{%*K1>xH+
znx$DpES(S;aQC1pR_Zmyem;%{xR{*1tI9--U^PVhWUqt?&Rcf;_(Ow;zn>?EPOD>g
z&2aKEM0u>)LuvFi)eJhdgcZ>xHLU2_PqTd-1ni5tvze8n8SEtXH!B=b#S)*F%^EXG
zVBOdEx1aeJe`VGrinvv<$>&~fUG{kFjcuC2GaWOS4Z*Ez-BrSdB9zJ(<@vB)Bld~|
z+ccQ;?Rm|?qloFb2G#UQabS6Q_vqwu8jPKdQn++R9uvE9KdfDw5o5GErO5qH$E$yp
zbU*8s#ez@QDqBe{(m%IpuX_JA1*w-EYncWFEO&mod^BW?z9%VKQ2x9rTq|3!6|$4Y
zushn4jrlL=8*uMrJeMhGnU$?i?Uul@_}9KsOS;h05XnNqZ2(n85k@gTQS5<wYY(r}
z7?LlHd_O_}P#>?`pInZ|vQ3wo$Af>PufD&W9S$Qnt#?yWf-H#X&!<=o3e2Ew>olH^
z5hn2V9luWP03YVo@JdMZ>?~?tE+25sGKPyQ)hAjbc(5H-f=f1{b7;todNTc;5!khA
z&(>#gVj}}5B9i6jP^XmSa{Y=S{Q9C1jg!S;S^>EtoAg=qDoW`1XNn<=pSWzz!o-T1
zKlv%A!#RsgeZoBogACw<bM7&DJtk~EJA=F-J%b(%XJpS;=!1FG0rs@$ZMvOc``9Oi
zY1E*XayWoNAIkX!a`+_H>2*8k{0<Ypk?gD9h#Gr6`1~-5<+JHBz2Y9rEr<KR&;a)E
zL2|J!<i2LL!jH_;Y2R51VIDt`wlC|RY!+Qedz{di{AY%axem&h>-<2k1AX}Kd+R_T
z>D6PE>M43y`^aBawNaEmS!8{nO&d%+#bZvv1Rd}y0ge_UC{D?>?XtEuJh~DVh<T0C
zL+!>A>v)HeC1K#``U5S9w4Z8<=NzG*jP8sY|J{$maB1e(@mk;)Sv~p1VSpZqBeLC;
z=tTweaTCr&O*qW6x6$40E4}X<OOrruH^SA^gq_$m;Yr!@%0ZFO^yM6fCl+B{Xo#nA
z%qorw->pB+wfB6an@e$!gzkJoi}BiV@7SmyHXyd^U3@eB#JEex55`Uu{MuIW`E?CA
z08~J$ziiV;JtX{w9^2<fZFFl#yjFWhrv)@XzS{0>Wm_HnchVQNV66}6Lt9Pgu^b8%
z$6HHzJ+7cv97R4iV%t#HHg#r=NC9eW%Z(43kLkIgqO#$dt!S_5302*5WWas=(pg)S
zMJLJX;oSDNpzE1jdpwIt&=WpK>@Yq@C#yTLIn$d_qVDM{d%hAu-chh9#yK9vclf-G
zzS@l39+uR!a{ixF&wmg$%R-4^54xxGn^9HyAi35;9lUmDg~pT>qEqP~*!sC!kkY2e
z`K8Nh(0Rv==axn(`q2G@Ii{fnX=d@9cWF_DH?MauYZg66pH-8(B<fqyrJFlQ_57+(
zvN~wH6JLdL_wKsH#rz&wYLW|BJyjs>7gw%q*h^%TnXy%n@&RS}nF{W#P=+MMYNfXB
zI%K~+w{7Luj-=&|R9AB<Lq+($gYt41N~OBkQr>nT>g1uWQC}sv$Pn|B{Z|9Jz1+<~
zV)%soy`Q`cZB_)Y>F;^*Z{DD>tOs1~$37$cHb%E0D#Cy7CLXW6XhKK%EeR=$T}Vzq
z)W+eK0w_kG+4ZFT9l8eP@1?7|QG9~g;BjUJ7?u7~%C)l<@f@R%vzGKACTALFRH!_#
zxxQ(55&0f%L~Ke9_V=M^-|?J)Uvl7hcuhD*q8$xXG9*s#9z?o#e&#E9$$^Oj`<WY?
z9VqCVbpl!&Mu{!YVr~w}!ueaHc}&TlkgeG0PrIlQbl6UsJ@<$#B(i=wH)q*}rd2{z
zMrB7)0Ira3_?-Y@x0ff@Rk{(A?6#ZA${30e?OWaNPXMhm4L69!J?I49e`{lV95ol*
z6YrUq0db>JJE1Fm2<Z-Tzem4NpjqEk{RJ5aE7@4?+%br1y^`J(zxs_HJ`Gsi<d*@a
zQ3*@MPs1qx(G7`1=cf^c&LSjbD-E3f<x_7%M$nN9P9`<)W{_%)Qsi)~6cq1L+j=NB
zitws}Z=OfYp~f@o;pUZ+5HgzV<iz{~>C&8(+72$D=A(zL56?*eEkkGLgwRjqs{P+J
z2wp;mZwot_=}15$Bl{^X&tK@VhjHsq`U=`G^#81IK^$C?weRx({*CHXk6bXeTSs2L
z3KnLc#b7^6K*naxG&*G%d^lWr3#~EzcW+Kz3}TIsldPv^(1ygU^WI_x$Tdj!DoPTC
zlfE;B7KL+2EjC54-j50X7|-yotcZZ{GJa4$WdX%T`YXpCWPvvG_3s6NBEV2q6A}A#
z2`zEIr><RO1H1bUA%&B|u+-iZyUDSN3cq#xlP7Sn)7w0T94ZWYLQ+O%h3n{;kElp_
z3McsH)*fxzAq*aV8TW2n-$ETimy>EP?SvTHxkl?UJkSPoN+-WDK>A)5YRVWd2wk*e
zk@3aDocc62SIh*zM9)8aUcnDJ!QHMZR6Ka;S*DievB2(gXM?{~34*4U4loJf;pE#3
z*N%K<gNoM`&pQ9&q41TbfT$oIGI(S5Rl+~tWTEi5=9nn3Z-00=sD%f2jIr#?3@1SM
z8h?|R1ei!zUR{jAL+;@>D|;q)LK{Q86hT-Tt`^L%hA-p6-e)y-LzE8+-RgIEk_kXu
zI-Q{LSQxhcQV*S<<cDv{ZAEPBvS2k`;q)h81gf%+T-q}!2qCYM<Fsbv0gv~8ip_~a
zVVIcGpv1qt)aMeNJW6o&!u;X=1>!LI-g+}MP88I?R5m2Lsz90K^I855Nf24B7j03L
z0KO>?T;M+*70%8{dt@#H*0Blx6-?4_%(wmqvnL50gC5r47YV@rvfS`H7XdQc6(@YI
zQowfWg5^4!JUHyzvF%tX3o%-B#(R?*(A<~VUYMW=riJVHrnB-8a%^vO-(F2%JZJhs
zIY9+L-%;qUgCZOepH7;|)q=DR)s!VZBDkxZT#*H3P<FHXFMLQFHhq68U${*H4#)U-
zH62yhZ~daF>#q*n9QpY~dX@_Ap?@|CRn=kj8}L>%=t68ngxNrvHn_cY<GjX0f{F8$
zQX~^Sc(ED8+j3eD?)!5yFMKA$fqQ}bYi;#FvFl_*+a*J|#~kBx^f?8z&lNcS8Px@g
za3f>U$0l&ort;2+lLnkqxxZdGtpjgOa0)>`0KyNPs=fI^18~0`s|`<R!?O>`?<(DC
zAeW~9>I*j&t_@iHec-1Fq&=3!v(L<+U8T2W7atX_95bkzU!=ed+(`22Hgnibcj$W3
zr2+d7hfGoY)#26zqeMZD1sn|B<9X6W18TT-NwB9Y!dVBUrT0pf!1|E8F8@9S_6Zzn
zRjZc)UPiqOO-C&uShM>l@+X7QZP))4UGQ)?zoae3)e>T2wr+?T5n(CMFwOKZ4g?=<
zBu5EY!VlVk>DG2tFu!S;w`w+tJfh9UzGhp%9<Oohw+714x^0<z{>u#A=>RU;gu?>#
z2LC+JOjCew5v%EpH(4-4T&=Q`yE$mNSSyxH$iilSCvLaUPVDHW^k~ClGx%0g_Ts9I
z44gfNCv)cTW1F#l->a5rutvD@*)l^M82(sa^3)Q-66%GGSuJVMBjC!jFo1{5#uLZ$
zR`J*`8t+G+EK}(DV5BP@!Vk`6K?Wk?BG{=!jPuVHfD=pk?YL?#2q#qw%3~tfjKTCw
zNC3cHwvunz#;kBoU?9+WhbX37bLaPR69OHfgtuX18)%ac^p6XPV%qm!*GaURz-C70
zAI_{9bnIZg`_p9+%qC-o+B#wkeRX9yCg$B}%;4Vs#@8ZPesK`Nn9~^k2LJ&7{|uLR
zIF)@E$F1yr>^+Wi?0q=)jY7)om5P)~lavxNLzK!$kr|PaEu)mqO-55j8Ih8a-9lva
zo`3J_xqi>@xvu;9e!iau$@^T*d%I{=d)mZZV#RRLea}YOW>XL$t2XcQo2L1v3m-xo
zF%)f1nmc{f1TZHerGvakbBX?2H7X#6gzU-7+#|-oG$<pqwq=dhW#Ql%IU|bp^}P{>
zmd23vTaCNhjS;_Fo``?eCyEQa{!d0rjG$$6xfY8N3!cq1)JPc+#i%Q<=MChHpuN;F
zHn^V^w@y~*{`n<}*Xysz#ph7r_c_-Xu;9SA{#%nxl*Dk;+54$(ic~0w5_U`p;=<x_
z8%KrHV%R*+UAnc(5Izva<C+tA@VHw+Iai+;Mltu9tJ@mFUT$N)9T)g8vR^%b*IgXt
z>r)~|#|&VXDX}ZKiXVTs7e43wDUO}8PS^bt3_x#!&}N+_fDb>zzq&#R<kh;_`OVM(
zv=n-k6)p&(zs4!sd#5F_WSAu(c#Z;}R(@o?_aUHcw`QKRyA(bdo3-^Wp+IV0|L>RE
zgz!%Ns0_QCG%j4(=k@zE1=3dC+Z8FoxUbSPd*hf4X8d$3Pqw5$>5LUagQ5s}NvVO+
zO<BC;HG2Ai1O-ZdR+~tRi=r#1#I5JY<#6TKrzzUHKD;&0f1fTQh8ND<+}R)`j|Z5K
zHF?hHL+5N{god;@-kX_U%4wI!%Fj{DB4hfHzpZwEhK2<0t-8v;Ct3l2Ozly;I;jux
zUT-Sx?Ibbi$Dice){5A`(E4)kiazX|;~CiJCxv@o_B#%85b@DmNu|0d1s;Z4IOJtZ
z<He(@ed;|#9AH}*xNb#(JBdklfgfZr%$q9fm7|1%)wg-1!YDxPjrn$pOAhbu9a<Rj
zAz`xf@*C3@3Z$gy88ueOVGdh}VZ90&ol17zvz0Ueg~Jb;%XiA7#=;(ftZ_2#XYuCr
zzF+`l&y}}{{FBGr*Tt8IZYtvmxtqPGmkfX_Xh|yeo&pxB>b|>Rpn|2juS~_y8-lKN
zQ?ae1BG&n_Mz}v$LA#Bnid-%#<nt$7KmAh?FIeB`;GwGGf|NDGcrg{MhWhIJ6Nz}N
z?g!hxWL2#4&|%!a!wAmYEgM%LDxq4}M78+~RZNr3-NMUi3<=)zab4v~=p>pj$2X*k
z$Z#+_m}U%RqBaSx>Le6p{kr&>{=9it#>+=xCh+RqMO)!a5-M%ss?WQsiXYDz-nwLL
z3Z$x=Eq4}4NS1vh;6+l!ap#<h-HWDRqu^`t$drt07kikGrm3LKpU?+^#b)5X-hA?a
z9~qb9h^r@tmGKq7TOV<UIUIfwks=yL#v_-eN`o1du~0#1rGMTW7S8RVc3dQ5#oIr$
zDP}TC$6k-w6=DH9QM8TMmyBw~aV91+O1Q!8vTx$M1&HkoUs|V<@x_;y+3k%)e0VWe
zQ%4yfk9(ivzBv-sc^0dmi&n&xuAf;I+W{u;F9;<ikdV1QOvM`%@ITI5;vzl(%;ER9
zoE0P?r(zW)Y(ow`%swp~Jq@6CT<^h&cqI&>=4-~q(f52KyOc2iK;XCdsKzW26{1;l
z=9Q(fJ&Dp3eS|(QSPQGRCgKQVQOL-g1XkR=w*Q4IK-BJ2n*~!8(Ieb>b<-y?)Zh*+
z?9&I}RXOzOc%K4p#aipRRS|3yySo0C7eGjT&z4qk1(X`Nszr7b#!#yQ&BEsva8j1j
zkHJG8gEaq?pZ-9=mXu)wUM~x%q6(*CjvN}Rhfc1f2;!j;we(Hj%|Y4fpltgKS^Uak
z{<tVw0IRd_3tkI0hi5}u9{={1!E@C)JACf)BX{K+t#fN;Kxt#BkLQ%eKP`V+$L9I)
ztf=>qy<ujs+kw~1r&SX7aQ8GC&hTPV&KuSTE2c0Kui4pmLju1EY_I%9<;71&g4&V;
zO@Y|kb1nD0IA&$UHtTiqU|m?Nir7yRP}Yffwi+acwZFF?b1LJ(|7L|prTt7G>hUhl
zmTRJ@`J?9rOFIwNU~<0av@x{o2xs+wDuOQ@hhp-@c(G+>&%o(p#xUHF;!9=`!4!p<
zd!jkK=*s-abadJXl*YFtd^{wK)~{Fgvpe(Qoo{(h6#b2$;={{mn_(g3ZoRnrRfHd(
zT1+jaFHylx%u#{uln_q7+JEa_20y-&Z6Ib|pn_mgw|u_15K8=e`&U6r0KJA*PKNVS
z0i5@CUinDC_VQu-)4c+?^TyGS$pwaxSh7YkswSYwj`1VE5(V+W-QVr<CWeq@``BG7
zkAO+%oy#nD5%5DimqJ9J0a(^QpDQmQ;J@`jBMn_46o2GvvlMIqO{tI4&psufb{+dr
zsgy8!W*%%9mNfwGvc#J8DFQmK%9i(wilB0BR87ho3Jmogcs!{lgh?t@?w=J!(UeCg
z=2RpFnB@GUzg`eR;`WV!RS?5hmVG^AR0@dPOv=7HBZS>tpJ~Va#gX}1?|?TwKN-&G
zCM_QoMkj7!lvjlW5_X?<_G!|GlwbYIB`fs&|5H5pi$MyLuRA*gr|5%=bjz#jIU@LK
zI(I|nkTf!`jrM3A*N4!a^CcJm6UEY|MXjQK8MN9QLeSVwU-Voi7B?9&EI-H=z^o;Q
zCq2IEN>lYAUiFfA+g~x{(h=gRS&>5y)6v*Rn))yg$-)U!;@H#tI=1<>JU%lnUPf(w
zXx6-TM}JxZckMcHZ(E@P?ihWM^3Pl!F6FJ->#Rv)$a7{UIr{(ZuX(i;_UJ=_yV1RR
z8EMR&O0alzkcg6-dEPn3=!5FxpwMT|GWgeV@05zI5@xX{wa+x@!%1cu%Y3pdN^i5=
zA+1WnkCGan+Zib!YwkPu;-nm2i8RMn4l;VAI4z&sMS(!Kl87x5@<<t(CVcuz#@1iS
z*ACJs@YK}XFaM=H&c7ZiEUZ$-)?>mCX$A%$DW0e09IAjD^=b>Vr&aJo_vg^F&kW%C
zU7}i)h9dGAJ4ujaRq<3_);a#2hM?Yf*jap75toIZC7!QQMFWD-&bl>2Xbsf<`7D8m
zAzDnqi|T49SZ8L%Q$>Y?K3fYuXe*&^_sC#Pj2gc2b$XzG+6ai3+QzTFRl=eA!q=o4
zH8lI0^rX?)7(QGI+O)8jggJ$;1)UnyF!WMcK`EyR1blDv+Vq)(Y=dk>fmAgdxKMW`
z=938|*{5Z`av<ZgS{3VHQ#CwqIh?$!g5Jl9HYNk_k+H~un6^}_ij9!{XDQSSvdU{S
zVy4JwuCNtS8C21f923lGVGcrv7l%IzDC0RPQ9A}%6%746$K<+T4ktBd<Y#4+@qtD5
z@9V<K7@<8l^C8^=x;1KaUhyg8p4m1Zsc905Tnn?}B>)7uC3KmLkufMPO}(%{2|=T7
zLd_8X3r;mZ&nDx<Kbk+MJrPCPjy$yv1GtoN#xB>GjKeQ}Vdl63vbw4KXw3#ty5C`3
zLnC1|$tgB7LLLc?jG8wp0PYbrpT%mDaIf7z>0v23Y&&1u`L_n3$2y~oEkOyp{>zv6
zlqiiZ3;eqZ$^Z<nL^@shKtwrpy~|hGB{5DaMIt&AV1GigR<aNg3*%jQTq?ydz2IhW
z6a7A4?>v5g*Ip4>*Bw<z*F<o4{C_V?-2hfc^m6U#ds1=WyG~+(5OO-?4QG=8R`!w4
zbr#FxulL=hFBS!HFi~&3W5fbHt0s5b4#=UK*Jy@(tN=EuCZ8=lVF5Q10|ZWT%i-vi
zSwlw$e!QsrCxb9&4kZ?cUbtM5!MTy(vP^n@qIH-p^{6@AKl<y?DvvY<)R^(cbMoNp
zA8&Tg4x7RC@}CryLP?CTcJ0j?;KHX1ks0l-W>7qx;1}#HfnPnlcc(CMp@&PAsbZ@s
zl&mjJe-RSLYrOma@`ZEa4kpG@SwmAeQSk0W8@)HLcemHDS#sjLM)~NHViO2sPblS@
z5y9GTaq-`6I5A3`<!^$t39t?CG9YaT<Eei0rSI{asA#TivM<#bJnSb%bkv1WeV^L)
zwRKL!j}ORYT*gq-W44DmPzV!gUOK}CTxhxDT*zpg5sXmHNk;ty>}fpl!61+uWf!$1
z_ir+S>%_?K_HG2UlX8s+KFNbOAFVz+8&8Ft%MV7=W&|<jK-{a3S9wv}y0ZB=4;ALl
z7pwSX3Sy?VZqT+4KD4br5*(Lq2-{761c`eKqMVRfZ22vIJb8gS$3ZfL;sK$FX>&nb
z*=9t_+#`VY4UM*jj}4%0lvmPNPY}s1C1nljg2)`p*X!zH0Ic7w*Zj-`v5a@zP>hd&
zo2Sb^7tT|lgJp){pQj*dI68WKV-!N>60_~0DHI4^rP_zkdB1+^dUWI_VLY?xyPBFY
z1?+Z>W`%zgM8A+bGA<G#xHxe`Rd7llY9kNYHyILe)psa*5JYjS*rs3Ux%zNc$6te|
zn1FZY59-_r5yKj3N|=_1J_Hn1<d|p*;qMj74*6Db^slUP-X*IKzYlAKQ`&{_?3Ovc
zCPhh9J<(BcdqxkAD1}<hpAp7Ow7IkGH>HsK=O^2I)PtZl+8-}{5tNG`%(9b|K{ILG
z&3;=CRL5S3MX`%wS8G6<P>n3^FIl*p6t4%vUq=kAeu!e+V^xW6dhd?ABleLYR1eO4
z<+r^!BZdyHS$0v0^7!ujfo%QrdXSo#8O8fo9DhD`W84|2fZ>_-L40v~&^VY;A0{b@
zPAVzf)&~`FpixRWlK$Q<tx`1;Cn<F0XwT`}Nkksaq2j=HJ*YY;&=+t+8iRkOzM?oP
zq4u$kpsyQxV9q3a?C+Ees%F_<W40xsVrb^YVjF!h)qI?%K$b&g3*|Fj=49MBW?!6s
zTOXcIr>))pEQd+1jpw?xm9c;GTlkNY0?8JEMcZ@ak!z`c%1uHA-C>#AIi3PCmqWHh
zdMRM@+*rx>B^B)WHxpGQVgTOReo@}?iYR22uW*y5isyA)lq?<@z-Y9Y6m3)y{|e<D
z&p)MxH=AFpY&~HJg-wU9@)i)0$fq%o%dCzyMGkLMHK|}=B+MV^sf6mOa)hz~bv*Ey
z(7&0%2#&l<Jl@Go!tLY5H;9ka@gV1o;oeV1V1Dcxe|sef)iQdoOn0cGz)7?dZZU?S
zI3|nFo5}cK(J}OGwK}$0>#i$Sm;h-@`G@RQG79~3xjedG9T%3&f85BV_rO~z9Cx*p
z@rlEP{79b~>cs`+UA<riH+7^HCnA+m?)_2Ay<%$E+8^7#;AIX;)2Vmxp)#h9giS3I
zRWY9J)$s-m3piSPBvkXIGJ0qVJ9#sy;DUR_Uco5~*#7ra``9yO<Y1RHQ?4hYE{kTj
zmkofv&(|>D8_H<F+ZuFc8wp9*xhVw+0HFu8y|wI>(KFkl>hcRB-WG}7BZ>fS;`Ql4
zBV;TcJ5^#wRYaZ5)qR^L02-Q#GrT>?$mA>FmRcx}F5(UmTh;(#Lyv!HY9yhjX0K1X
z2z@`xw`|j4wuHFuv2F$q5@tjTizjQ+d-Nw?^Ym3ZcNBN}{IFEQaYMN0xJLpnaCNri
z(a)Ej?9jjMOGFo|>B{jZ^xkCpd7!=(AVy*JsrofVTz}s;Y2zV`?vaV#PtZAHICQZx
zpYD%-Y@6QgG$UY1ax;1NVSq35n+iH;@>rF0cfs(G04CE8<Pp^9Tnp^C(xr1j@z^WA
z<G1;6*sCf)>%9e}g&O_qn3KiVv&q_LSGmzjN$Xd{RtwO4n-OhbD1$oIC%@kQz={2~
z1nZDT=5YFUOTIv=6ngm1M9M00;DT}ZZVg3q$gpxr{KF!Nm-(Lf34CG0x<t8H_bX=L
z+);R@G)Wwtoi=_dud!m24!7@-U#8%Es{E}UMGO;eE%EF5v!b4eVBDqMrr@^G8#b{d
zg2K0Z>_W6y@n@`XVM&t-47IOUCwvgbaOyunR()0+xN2LLtY!kw^GA(*yM$1)sf45R
zEGsg}r}e%|HwF+BSUfXLz%_RM=FVwW>|?Z98KL{{6ZQxFW^x2nI6{-=PG&=V<o}Tz
zVg%_R)~_BQi0VIA;Oahh+(!=a_%Tlfzj)S!u+IW`^6J-OH#ZIp=l)m_ev}H~2Jt7H
zj|ia0puYCblbras#q|Kkgdwb0O1(jLx(~Rp^19sT!u1a<_AibYf_QWFh4E&7<nS7e
ze96dzou14;XXgx{OfV&R_y#|^j-29~3*p7G!EwC@^!}femA>*ZoFA{8-Xm$j&X0W=
zqUIEK1E@~A_f?ucU%0h<=<`>8^pIwDZO^6v!|F$SrtADzR}$c({Z;_)D4aTS+kgUE
z?omPOPx$feY{+U&JDoEjZB@*@`p_D)4f6i-qt4(mRk(+M`VZqJtwZTO|MU6X=?(%Y
z_Pe7=@P`nZ@M~ZlNgs4l^r|1!2;f4<k;X__5v;erdhB_>9=PB4T6m%*hz3obFZB<I
zVxBk(45sJ-ZH7;^<(VLwYngDdJ{H5CRi48Uu6p1?RgCHMrt|l4%tjqi0#6+lu`-vW
z=j!4a^$js0{FD}ZWA?5jhG(1=YMj*t%@Ps$z%e0gyGS;aro$rMHB6+kT^HsfiavO^
z2qV>34I-vxu&%P)@Jp#KR6I>cn|maJB$EyEKRe~Hjw9*1YK|`4xYp}SX%<BnJAub1
zt>tktDMK$RLl<0`l{_rIh+$yR<P}k41w72)Gdp%i7a}-?+vWr%&~dmyiq}{Xe}%0K
z`8MdnEuogNAG;;dwI;2f&5DQ}HFgfv5nVWca|gMuMhc^+Vr#%z39o$(J>Vy%2jQ(e
zx7`$E(3g2~>(K)wWUnsL)$-PZbv?Vh@O)WpuZ^!s3MAt|!u;cur+Q$=`(J|QEjd(K
zrS^%(DPwSX(B=d+edvvgDzG_BzjuqUX=RcM4lRzc4VCLdn(2P^2qOjD<bP_H#Whv*
zX5*P>u%$p!t}4qMA3ZnvUWcv+t6{+sGXviO1zPTR25tVPh(9(9uS9NF$6ovU!CAEi
z(Aw1N`}!#nXN4zMM;J7)i8pLZPJ$uS3javmcTEYsR>z<JOVq$*w!=4FPE+Cfkv8>k
zHxk~OBZaqr*TCl7h$*EbMzA~79~}kAs1y<rohzk@mvn|2OO6^t*xv75txw4q*ky2|
zmroP3-cbper%m8b??~s<9m=TQk=LTys(}yU?-qRtGledns4V$zWlZa`QK1@Zpet|A
z)_1XHpy(M_MABEm6?N;v(Ua;Jv(j+MCB__b;-|BM&Z*!st;jLQM-4kH*4~>0Sb+Nr
zZDqeS75s0MZT*a*Dtdi+CETq9AeF4cVsc#t&C-2se^e-==={&eG8X}?o+a85j;SDw
z=gig$kx}A6eD;U;0RL#w!^V;-xCISZf7AI%Q)++hO|XPY`St_c50o)%mG^Av4Mk)w
zvM3$2u!Id)<*rFlWgP50?y%M_k9&r-mU#A9!e;4x=R}W^u|?<i(_Kt*Sp4tPlM@Fl
zL2+;Im0P(aoMtWDHJ>Gg`8Ex;E4wWrs;@x%J533dMo!f{JS>i^8k-9=tt>%=_uksK
zP9mD|D~(76h~SOPzxMB>EFsT*n}&C<BEkT#zfn5@HILnjdNl(;;^s*d`=Efor`&|i
zP6*%`8_71YDgak$LB{AVd0f7H-0CBZ7hlB8Oyr*gP-8XIz5h-QHP{|39<k%XJ*x?K
zRp{Qat>ICuR*@{eygl^j@-cR_|LVOES8V~h{63-g8>R8HlgMPKI4deC?$gK+w1A+>
zBLXGUl4!A0r6G7b3tCiLjeR(24#X?JRK;{8FlzH*mfA%o)FTrXWM7(r-7L}UeX1B9
zy^@io#?FLZa+!Lo3Uu!nvkLnnB#MjdiwTB7jA&i=Z1q;SDQK3z{2Wv(jEoIuA{h-C
zQ6>J=+3^7rXxx!isBumR)AgO!+DsYo*}7-w4XO#;&Mb)Kawnj7ZdwIXBqOd!_8!;B
zG=^i{Rr|`_1@Zg*S&r~UMtrpHbU^r@5$qSKkKP|7fU44Sf!i{eFx>db?{xZ}2Z*bQ
z=+yFKX>8=p=ZBb4<k#iR^F379KIIe5&d-k`6Ki;Q2MfwYHow}unF`X%Ea_)>_^{PW
zm-Nzm6E2y3_(*$X2tNIT0t(u^C>SF)ckUW1E|7K1BXta6?Az#}XBT;p@V-E5;5{1>
z-3-|C%MBn}(wv`-n+La!Nga?h<iLjMssU?l1K5A-b>ld4<8oHVF+vR|`YLRFdZ~^A
zDO@&`^LMy0YA!@Zbvrj6Y_)oH!;%8&GL?D?72No0@B1${47@n2kPFwl^ntVUdS1jh
zH+HhS+<4l>hmTJ@xKe#sA8ae463%Vr!GmU^l2Rl5cs~8alqRD-Br_*jQeX361?AP&
z{wV?EyS_-Y&)0)LqzBzpI?vp8nr>HPA>eqZ+g}%3djAjlPf*v94?p_vdSj&{grSFh
z?&bZ~g_|87_xY6gQ7bF|<n91r%$uvv%q`M|gYL{;*>(JAw`ldg?1cy}<nDl${km|*
zHL`NaLjW%`SNR0fdj#9ar*Bybx<KTd?D7*9#IHL_4}X3vj*nKW8=lYVz!{5`zXwMJ
zG5$)}i^-jmST*^o>N`ybN^Ukkv1=n>E%y)NF}m+&HP!^oWb1&E&r{y(&xA0NWMT9D
zlMMFDjeXCG)d8k~(H{@r2;;M+{he-y<gmo^N+v_F4s3lTY9#Vg1kV?#+$yH$w0z;r
zS3UZCg7N4<c6Bkd4~@SYLHCisTAPaFaXO%_;mq<dTpT<8QYAN%6mik)&F)_XI#528
zo69;Ofd)M+?)^1H^tX~JRqxh;cN01H?;VoDww~oA^{-0UnD~%#Sx^_G-42)cElcCY
zV=hwu!eq2bytF0sur4?dw$^&k`O?x~|HNsVGUf^-wVrsV3;SghRkh3IFmLS1N`9mY
zR>)GI$Wae?HZ*k0Q|0l7u11=DnJShLHbuj@9w=3od<u!A`v}?lEu}*Z-(RKWt)=S2
zPf;z7lm3dh-8{g^V^AH9{e4=LJSdPjqaQK4pNR9Fk$2v|(ZKHHf^SES4Z!SG#MTFN
zE|%3s5qUB-@ko}&Sc$eF^qkL6<S-$jMQVmIkFgedmCK!(FrmVH!JNzsNix34HY86J
z(C3{sN=&<rpyPtvqQyKJZ7T(CnY`1&OG6Q7+hdHO_0F7HM42+4Y&UWruhGH;@y@fu
zbtZ7wJafbUKNWPK^mS)DY2hZLqmolIrl8Bb^^4@N3fkPNcPPx(!~@=M`Wht7VQ_mx
z-{=-qOuTej%_Um{Yqs^3mzi6D^Dxo<O}r{fT>sYK?W&HU=3fYx=y~Xt94OnAr-~LS
zAHq1>R59+Orc~E$fTN!O-ghRd;@xh+*a}7!`ge<`aIjm#?oCrNyIko0wh=G9O^}TH
z9{eZz$kP&{FS+E4OsQat{_n(ORwWd+{(j#$+Y;`liPx&`Qo%z%8O}}2Dd3mo!sw5!
zmT>bR^Xl(>Wi0sw4!is0@czGqJ1++;!C3eY@yjbRa;rZ-=8{j}3$dO+F8chUX8I(#
zpM=Xbxq*b&;uzVtC%}Pzj!moc<(PL$m|=Z$r>D6H#;@^M)a6+MpY@-N;W{Graovtn
zW+&j$3g^ITKTD`t%Dy8&=bSTbI9*elAFtN>iMDE5Lbx+Sc9E|FHZgH|ybRz%r?M9A
z{dBJhEbvh%*&>exao^jnZec??XP@D=GytAK2ip`yIn+GuM?2NYjLxZ{oNJbJ{<?3<
zG8K}+Xj0*=0aivFoAqk+@3DY0n&AwumnCtaV!KLL^*T+9CF%ED84KvyaycwxMI0}$
zZTD+D`Ipwd`stSEQFCZH^2|wFLJYfiI>h+NF4GF2R&>0|404BE*%v)UFq-R>?0mrz
zt@C#3)8;i(_;E2H(fPR$8fyA3#eQ0(aa6L+E^al2u%ZBoJ_iEoJPB{`sa&Kj!{tDO
zOcNMfmP_+r6TrWzZBha(OEmJE*}u&5#_%q#yCS%QAKC8-g`Ro7M7wnD`Ok-2jG=N|
zN%X@-K5X8VCfGalhc?(NP7cpEg4@)mOjDISNNo>NthQXCJz0;Ljbb!{2nE_H4M}di
z)6~QsF!7gmOEc84+lLDG_C+7|Z{kE5OKoG7<~3Sr{3J(chaq^}my+_$<3OSPR=2ly
zY|zBIf<mKA3?X~dQu164JLdG8+iAowVE*L(n(<NtINg1UePoplYdP6eK0ai`5Q|#b
zas>mpCt0@nXaF0=Oz!K+TV_JbnMl6RbiXhZ(RZ2<X2Xe>&t(f;Sny86GsX*&6xjY`
zI+=Zp6^Cm&M6+p|Fm)PA@^baTNzn7#n~$tmWYEgjWX*<NMoQyObdPAPOmn)p%!(Ga
zcY7ayW=9V%-qfOMJvf}idw;-$4Zm2aW?a3=iB2@0)aTZEa9l-mp}l|&{|5j7|Njh^
zcR1A#6vpjr*CvuZ?!CCSxO|VTA!QdSrTn5&Q8Z*1r6SRwq=BqTN};|-DN-b5XO)>P
zD;dB3J<s{$J?A{<dEd`trw*1Ye*Ad#<mt-VR$Y)x=01K;n;Rc}72)ys5X3dtnT(lW
zUAT#=9U@)aD7|lKA=H3^Fxa_0SX>uAU&t#KDB{8X^B?xE*(!|W&IeUVWja8MtW|Bz
z;l&d2Q#BbOg0v=%qD(&>xNDj$$x+FN?FCmh3%nP_uOcn1+^cmUKlZ<v-5dfqD|aKj
zTu~gu+EY%Od}Tn12R|!!fFO<zYbC^9m%!h9>3VOI8K6z!60`Utgw|iLrb=l@;reHK
z>Q-J1cv<9s$)<&Z?w7h;g`1=?TRuSfm?i_hoD`wjd=N&1MLFkzJ2Lp1Zk^5GX22mK
z{em;~A~-E%JKTDH4d%$E=e4$JLy6g3W7C)@zCGhgZ@#(~r#_rNcD7s_cwhdI)>0A2
zd)pYB3cKWSXy7xgw?rGNXTmPJ1WTa3vCkoOPDONcRwys~tPMQ_gQE-IB{6GIrqSO-
z2{$<(2~A>W!24@|H{97NjiD=ENpWYCaaZ%X@NxzN1jmCLPc5#-60J7@bDvf4y7!SP
zts@Lz&UEkJ{ZtmK_`FgN(A7}>yrW$Gdj{MW<G!68Er+*RLNcExs^f$p=bB_a9S{ga
z-6aEgl+RTtNS)WfZvJBxJ}-5^+~CZZoPh!=+N*G-d(+V9D<zR_`@j3f#=L%Hrij|L
z#VuUrbd<H-WiTV52fbkyM^YV>@XoT`#uwaLXk4{Ix1H3388t%-iQUR*ny)lwWU7t6
z4o>6ShV)@zef-?(5Ebmw|5Y8J%s_>5nVcuf1~7dP8}^)6#RJX9wyj)Ypsu!SM1i&u
z$ceBO%ciK|l{co5PCpq~9KLJ9>4Y(?JC?WJ^@=*S?f?2BTu29_qF$}6ZC(c@?rT#<
zPiY_*i>IKLhz<^`-K5Q0nnIku6yKqZRJ{6ev0Z3@fh|6|0_xA0FnP^5&T)Z?Th>l5
z@4di4v)_X~Mat&D##?jTC5ncsqIPFT7PYbNRf%5CIRfstZ&DfUpkZKa;+u+SEtJ?1
zDE(tUz&VP6$Zc*q9?w}f5&e{oV)FHDS5^Q{p9?SWTA|^Gm5T{VH>hYaQRNUFVF4qT
zUMDvp4QC^tJ4f26<H^R&SImbjpzqyw{u>T7Z054)V|-FU(#b|Y)W{OrLwe7N<WMms
zvCMSBLJ2p(y{&rwmSBJK5*+-dfu337@%&}-c=}yxC`MYsx14R2b}j1oFg8i1BUu(n
z@4N0d!!3cRJYDNjs)k*a(wi6lO5(_V#(wpEmLQlMesC;O72`aroO<4g;;TPDrGtzu
zA)3x;$uU&HlbzGu2CNhu^U8^6{9^%c|7N+4cPSzHL($v$01rM4Joou|fd%A7`BxXk
zC}PGDx^D9)cI-G8qvhmo0U~NKS(-Ej^nDw-@MPUGDfvaC=kgx_nG1V3Pd{0UF`8oW
zY-zKkNGj{L@l=49U&k+HE3Lsx3JxOgQzpohN%A@2Islu?H=gKvx*B=;qfO=i43M?v
zYDeFt5KtYoc-h-e3Pqg8?rA^|nf~Ca+@or9m`yVzD=Z|ie^AQysa-3{_`si>xMT+D
z#}Dh9+KAz&Q+`4-H@=dGm1<rU8JNM$Pt(y4M@3L@^qOp1OFenQS>f5l5hfU2xaN7J
zhJxH*<m3`U>Pc0bqcROerVzIC27FHyM7`1*zTcO=kYug!@yvM>D6Rgw_;HXA2aR#-
zA<jm!Y2F3SSeZa|oQI6^IUc;j>{a`=u9aNg$F}63ybfw_%on~pxC)DRDQQ)@b&^g=
zMb++u#&GPA{~Yr=CmKf@4bw$`kT+x)+*C_rSW&N!nPTNY*Tq+cSwtUM!(v-oamNT4
z!_r%wve@t!-`Vk-nS<ncjz?ij>_$-NvX=5If)yv^VtY<&jgT$uq;7eDAzb$6TMoa-
zf{Jb_?{d4w$$JG~bh?@iAY|*hI@`n*vhYLQ-hq}$ax~DldV{?ITsh_;d3gIWS-MlH
zU!&nSdH&pi%KmbFsOI=wvv72Yq#rd@4E;Vs`kW3bx^18jl4&1&RlY5fV%ID_-TgC1
z2J)M)_!Q}Zeu=jDWauI(NqhUlp1wd*Mf-%6_4Hso%5I~=jzv=Txik49WRbkN(tY52
zi7xnueST&fwn%1NVtTZ6Et3-m<hsv-F8o<_{d#cIB8iJt?eWDd*jeiKRjF17yw7FR
zs`f3B31`~2tMjwr&I6`}FLvkv)5$mS3w@b<pgI*7bb=jUrmWkuWr_hiU)^}$q4say
zcEwejS2(apH$-9aJOkV|c^@C4v7j4Egm?WNE-W@-(fg*x0I#a<rL4|>dvk4+SntD)
zF}owBr;@Zm=+f#7kMmj4Nco<VnKdtNNx7)0(V+#3WiikCQrWQMgv^=!4*dAyOzeLp
zI$BUEP+Jpln;o?>-X~Q=2%<#A0X6wVP0*WSsy?dZzzx(VRO2HQ4A`|klj9E^HU}~;
z`0#OI;^3td{$;|L-@K_u{U9AmI7}TwgI8e|+bK3eK@|H>6<jzmN(05rDnTk652_fh
z#8V!Kq5tL3aFJ6q_|g`hH2j<w-B(Lw+OC&CWx{Qbtt1Ubi*N1^Na07VxuVLA6e(=H
z-ldrRmI}o_yIx+nBZzzD-fs?Hl*Zc{znq1ls1O3bp5z~-;E34}k0M1D+0B!E^IfRm
z!Lr;HeqR{>N^~rlI>=$(n)_RL%&9P1S=-_{D}qu#_70S9m&Ye49w2Q&g~7Y+el5OY
zSpNRQ(8_%Uluy==vh<-s+3?%Q6O-b&{Z7Hr>zqn>Y@o|}?_DbND$n?(-I7F!-kYI%
zr<Jkk{N*h_xM`4lZ$M$2zcgk>2Y#ttrHWTC))(HmL4%e76`KPdGI+7CO+F$^4d>k-
zzVF#ahv1BCDbD}a;IzZt`<AX6*t+@e@DWE%*q!oV=gsSDu~O}+YpxItQ}`#_O(V3x
z?Yf_X$Fw}=E`QFt`<af?u0~Z_Q`!*M-cs_3s)+L(;x9BVYN5`F2x?#>1N_#--AO&D
zgf2X>BK&I^c+{%MJEmC&)_0scUhz^H6CDFfScd=k(I3YLi!6HZJz@{VjZYPmzbjA3
z-P6GfmnDz-I_ZPv3Fb#)hZ;&v9r!3k=%Tvu(abkB22g4lgys*`k#_JYG4)Iri)Z&=
zQTH=~!>wzb#|AV|zA4T;Y*`oUK0bKiptueSWx3J^C^Ss)Qf^*F(Ze*qBGZl2Ca~lx
z#=|8;N9tdZS^b~7IGgml<Z=TO?qrL)d|9MpSwlqg@KIfS6<;o;_}Cn@Eh?_^7HFcM
za;Co7D;-?@al}G_0H84g<einYu!-`dO0<%JVpolviX|*y`SNJ!cMmO0(WJfRk<mu_
z&f$mF%@z<XDOtn2UJI`@pKP|Uqa$xa9SifMB`7{yOq`t5#GT)3C623UV1vW1{;La?
zkS5=7GQ~v`o6`L*hPJ67FUy@aM^`K8GfZDM5KKodkF*Kj2u17@w>h5`Zw21U3!)+0
zXc(1nx%a<7Ih>vF8JM|l1&foQI?78$1vbO(SOY19k=hc!vsMr#CAH5pSshDn{)sj{
zErQja)Tf8ttYC+&@!qH<RXn|ZGGyg7FLvHZn=li!f_HACAn&4rP3Fl@^S`s=?VrLK
z)Tfqky!7V@&rBs$edl;%>yv46Hn_Fhaf2nuTz2^6Jf?sRHqL(AGP+4m?Xd$!Ef%oS
z*H+kWDUXcg{)gWyUJ~CZ@wQKPSpWz7+nmA;YjEv4&SbN!9|Z03oO)G1fK9aYa<IW_
zq_S4jn3|0dwyn34-yHxjdy>X$;vk7OJ9^Wy*8e6%9yD6sA0$B9NLHmhRSXBiA~i#0
zXNic4-@23~b7-`wO}i~7g8fWl?pEs@QN$%IPM0!={V&%CoWCrD#@||VwwKQn61-ow
z7MYlVP{xPO?K}B!*ITBp!2CQx7mGMD<jaJ}sOtwKQ&wTya<&${m?x%Wk92=XH3gbY
zl8lKa2dZ6Fl2uliCvwwY46Uv=0ZFTzwOR74sOK%$WxZvNC~Vj>bB<yHhZD0R_ckn&
zuX4A!Z`(0TFb@{_J#t?MXZg!twyeyNQ8t5gNzWM~wZJr%{=gU_uWhppFZ)fJs(Bq*
za-Sx`URK?@HE#s=_HsK5#>PoTZ{1zNoxh3Sj87M`w;Dn9WYVwXjYH(1klXd+p;N@=
zx@qsZM~2WjrOd1e`bnDJw)syccajKL|KOXYs3Ek;n{E1j>pPi}N$ZxLpCAU5LdES*
z89+|7_uiC*ujKH~W>)RJ6U1}V-F&qJ`XD76^ZtQo6{$U_R3qO%PIONX#ohMMhxbj!
zyHd-akgq<Z@dVh66AAgx_g=2mgF6*r%Qb$tiI~9M^J+t5#L-=DSs}K1pj6|{pXB+P
zD2u;ln)zjnF!y1U>AlqjkLr=a*I^$BPTdn*>z2oe)4wFX-?P$%_vtK>CquswlAAy5
zyLxz>xNxd1GOtPpj<6jIvTAQ6_Sls^J1zQ8XTsPb!|`9vAK4;zb+MITyZ8ODYSIMJ
z@5`&Uri}qfrv;uij&~3S>r?IS>r4`xTb(pL|6@RVD1Dpn&u-%8hUVaunMvZyi=#b{
ze`^DK#uB5q`Ula~qVC_{F+~{YZJFU-qYaWV%B)<Edx`tS?^xP~e-j)`XP&#8wBY!I
z#Q3R<eqy7nae}bI3{iQcLD@G-6RxN^JA`En5?OnjtgnX85@nw@FqyCEuq$%05}y4c
z;yOP1H}T99)E)hgWm)Jj#A9pra$tmTP2mm1H-Cs1KCBB%b~HHtCobOGY@B$!dveF~
zg1^Mrr8i++DO4D_{npdFbAmV*I`}-JZi$$zE6J!H(txI~S_?LYQ-r7bc;B2D3%vh&
zOt8jE0}QVf4gP%in`mp)+2+2R6<klnc&^-2hrpIcJU^K;#NOBtZ;J*t2-<scIFVN!
zLf%lXss5fN=FV|xb@*|Bke96E^AI(#&H>BD`gwwFIbJ+Zl?xh@^Q2!6tHSf17DL~*
z1)^Zn(w=w`Zs=ik*fhUS6?PUDEM$r;5$>WHzh7wc!r{8qqa#Bq@SlK=P({oNVREQ?
zxI2m;B=1)w(vPWtxm~!Jjub1H6}ixbg@qu^{XBOtj|%jAOtscsVgpr{8pob-3iR(+
zzWp#;8J1MoWzK4F!1anq1OJmE&>SOQGq6P&&fm2;*+0w)FVk5aEoow48Z>zJESEAA
zaei8^Y+VJBr&?^Da7sXp`0w|sHA;}7I<L>1<AJX5Lx!>fQsD5l<0W}Z2?A3z?mV>T
zhq9KxH>Ryu!<SpXW(%T~0BV?rvl|3~y{T<$#$#Df?r=C;c}597bicXCQcHmed;1+*
zo!7$sf%2rCSCoL<^gW?|s|aixb-Xz)sQ_nNRvCr9QG!{EkvAp_qM+_`=7!mQMR?xW
z8~H+18QAWB47y(}4*PWsPiZ?U!<(Ud{TDAN!=bW{VH;8sma8Q43Zzuw+P=jsBZdk*
zJS5%1*)0u;zOTI>tf)cCbvN5uZdG{4DkQX?E(=Fu_<WwQQsJAh<yE6KYH(Iy@AKmO
za`3Hxm0ZzkI^>jy{S-T{4u?+bM;*Q|5AiZSEpFCY5c~e{z!_O8ROv@|gz+gt=Ir*C
zIui!mIy(M6OPUUTl*d;JVwK?K_t<XgRvpk@t#;G&xE5@*c#zCSQ2{22VxBv6!Js`s
zyDFUlMq(eiq_b4v^2Iv>$*y{kljpr)q^}E?HgBhnSg3<tWz=m=EqypDFUZ!%st>+z
zL$2nwYruicVUkO&`jEEUZ8C=45R|4JCm-ym!J&!&S|>LcK<wj4rj4F4{Pf6AIoM5y
zvY}W3l^_FHXZbl>>6{59{XR6IsHX+LeKti~+Zq5R*yHuB2`0qfR}2+#(FX3;J{!w2
zePA-p>xR7u==SSm`>>h;brabSc<c0F9~WhOz71fpka6b1UIujR-cB8i(1pz3(KGXt
z7GS6Fq+d6d0YCaQ*z`LX5LP`ZG&*1jur#acew+aZ!nW26^lQSw9X<NLimbq#<E;M^
zBL>+0>S@Y;qyc|}YimAkw1%jOXZtd)YJ+a>U_8@a1)MXB_bnD$!*tUzD(@aG@MOMX
z4e5~wmq3wUMc=KV;C0h$ojy8v&@Z&V+ae9tYT<I}E!OZ}f}b}|odzOFqo>FyVL0IP
zWQX8GYq;ba-mT8m0IwAjsTfI45clAyT5`1pdEHsV3~e=#&3og2P=1Q|@8E}ukpU}s
z;JossL0ARiwuk2jtU_{hubm3FpB2pX3Z5~ZPy|KsU+afmr^v9xp|ZF(OIS2L@Xn!0
z9&RnRbB@qgNTFvATfOZq;dTApyU%Z~0ntm+Kc0nf;Et~Erqa(WK<_i*+w(#i?(CUe
z+QGw(M*FOlS(GiHsBlzDL|6i>S}U~N&+_7P^+8MG8bGdDP(;#05%|x!p@dhJAFU%M
z3lt~-3L?i&$nXilfnAZtW~&A8=?-h7t8xUen-&Z0*~kMk-(+^Ixg>yHaRY2M8s@Nj
z{ffpuVGh_7=(wVkC4jkSnSFOH%;1meu^$ePmI>d^+w;K@0yv#5{w-oJ6AU|vZcWWu
zqI6ebPmF;8I@>7prCv3KgpXF9RPj+lGkaOOy@ek?7&5)M>r9{{H^tnpzLO9UX1m*T
zf*;vgb`>oC%LD0hnc{x#FNu+xdG>zF{J5HrvMbMP9q0%3PxsS4lbd>+xr%%EaE*bX
z&F;s>;2RxmNM!bqo4+f~=DpxU^@|0A=lG04@$Q=+;%9!5i*YpWs6sw05Vp!oJ7@$4
zu0G7~v798+RtXM^Rq^4Xb!WVOlOe>L`9x`tPLqq3Xm7*Gk6eQJ)+^SA@G8W~tIc7a
zoF64_G6VS0tE|Ga{G|aj_g&V{4EjqB3^kHj3;g)ZAc$(NZvg*2>*`fLuuQV_Ho0{d
z3*d^}<VL?@eQ3?5uKdkpL0Wu%j7*v!uK(h@Q^Q0b&IJC+*~ZR>pEb?%P8SN{xm{iQ
zG4KBUy^d|x*`4fo{D_6DR44^y^BR0(-Sj~B=~tH%WgJM28?$)D5XR;D=Z^NHx*-4M
zL)K>*F8uPO+o*?C1UVZYM9#+RLU>fTdV9<&+~cmBwQ)oQuN_r5R!!H1^?Gy0`3u~5
zXS8E&>x3v?R#bn?)uaR2-4U{~k-TWdcOv5iMI1$a?;7%*)qxD9+G~w6{P-x>{W*P;
z1dgps*kon)k8A!Of8$vvfMR0hCV%fsqLe{;gw7%Z7Ti{s38o8Ss_VScn2a=v|D?<W
zzGZ;A<l!-iN(!DF0u{ER)wupY<L07d2C!@;qlasRai-7dq~w3Hc;(&ov6_PnIJ2$8
zl(km`J*OJXI?Uy8;(C@sjuQjQs~tDJqKIKe;-`0>GV;hiH2T`piUIG%oiF=2i6cwk
zO2cP01!OnQvsrDyfUKMyE(*C4*g7dwc*a^0nN9l~nGOt?KG??7DkX)LN1nx(A6CLM
z9UZdf`x#K3R_$VvA&sTNXN33UDPwD6mC~zJ1}Ifl>D@Gw!I2`H?xHCbWW5m4aI~2L
z{?Zn`oxf#~%|800j<p(U#j~c;G<85i!}iFY3OW31V`6wNT^;pr-r;|FLkFDn60Za}
z$zwa$_Hd6m4eZQ4OLWTV!n-XE)%=?k&`0F?TXjbo9w|IqtN&UTI*kPFd7Tt-VkkQf
zZqboOt2E|4p$F^e4Q3m?l#n(5f!DoOO*Av-kTck#5B4>2OOpP|Xp-yQu==kSz9@Pu
z_0!4#8oD{g`9oDugfm`n=bSc<`O)HioDJbm;L~klQL1QZ?-o?#!@yFf4{m*@jUZ&^
z(|Z4CHGI4Bs$uvc15fZjnsk3<49VG>e-<29$BS<^YIfH#aG=C*ROjFS%B=S1WOvg*
zZ{zb5xgQy5JTE$PAkY-nMky`W$WT$w^wC&QIs<tfPBo@}Wy1PfT?<=~ie~c}iT&mb
zd{TdeE}(A?o-TLuwh%OYc%kgL!Cq}V9CG2J?>PcaINr@wNT#9js!L_1Q<_-+Qu^Ru
zAAkb!-m`@zG_3cNFizB>;~q{cHQNb*<6`YMt#WDTvVAPUM1_j6nl<^c{uVGe<SAaa
zpN4~zYqr$(tD)gnjJr^40lG7~8<u9NNY89Yt%y}YYxw44DQOAeTXcjiT&P$lJQb86
zu7rb0aTy<N|8bvtLi7Dt4b(ViWvl*B9!GZSc%SyNgx!H=oC%5Qs2y+bA9qg{l{E@h
z%C=cTN#3}p$0;>5dtz}Q)>H~}Qcd$df+Yl=zo^6Mpo&h1Hmznd#BgKT8;(dZOW0s@
zG4&0<3XV<3<_9EFkR@QUarqxdAEC;(->6VRz2aR_T~)kT8=jmKe8~b_f(sQCk18Td
zzGE0;8z=tgNVXd`v4D&3r=#qZ74XUJ#L|p97S!wWeJkG$@O<hI=~22C&25>pp#}@&
zZdt+7pa=ky9S|#Pxd#2;s5yqXO_LTw%a7XE0B|PlOi1rvjZF<vF5da$WH?cLt0{;8
z|Lu*HBl%JoX!D7pCOkwg?Yw%hD9;??);{gLaa{tF30dVmF}<W!Y5+?>w7+zxRG%3f
z-koOHk|%~91z~loihD>NU&k#j3TBX@K(i|u5J5T*i?^X`H(9c>$J^G23H51q7hN|A
z<FjSH-Y}JJvS`ab(})MAz^a+et6U_6YTGxkIt_P|VLjc^?qeokIqmuLsI&l59+odo
z9s5CwK0RbPXKDgJeKp&?KJubp=^eNE^j>oAMY7YuOaFMYw6j^Vk{eUO^~*hCfZP^T
za;dn_7;Xmc^@>^HLUzgPol@4nNQr5yE#(%*pqC;nu;T<LCN0bfB&3d#<o^7R2k#oe
zzM<`Jy#DcTZ)IDJ>D38x;p^(EN2`or!FOqcmn1uSH*2Mig-nsAY@Jg3j~GG>ou6mF
z9vd>{cqTRlO_M)C*e<He05Xh&FE)m;V*BMaLIW|g<a<Kpa{pEXxabjOVe^{>zY1s>
z7v#^Ao$Gd8h^f|x^zK~I;zSnwmN!LzF}y&U2p8PmY^4tx6AxETI<ue_G0h`my+ppy
z*0DByqX(lZC+SY>{`FJ2$yYB{NXA6ByN!(=_)sY3TY&|;Di&^JsIp=yV}sv;Pyce<
zV;S$UegEo(`jqh~Hhe69U;LT7E_i({+_#v=f}1Nd>Yn~)N8?N3X&M7MP_`*2I!BNd
zcMa(?Q%-TBD7E9iwv#$=^elfu$R$?nw05J1tXYMIWrgFNB03Ov9xbhCY^d?_Z`bkf
z+~^yZneO(80Vk7%ZX5NnVaBfRzk_AGc<PuFhyNA^@D0SN)|a#6(L+4b?j%2IoRqnC
zeMB2V!mkB37IEO2k<YuMehFfie*V1^mfFx*rf_?EH7B}wKk~@GLqV<3sf{A{v><u7
z>qqG_7Y@=_Jzo4Nj2+$4H{^u0pe^6%b*eizuE`0w<Z2;`#9oKD5$7~PIUwpw{Wl)W
zy*So5R4Rrib+Q<C0-E64@pB|Tln+n7us5D@lE5|g9(GSN=}@e?YeL3G0N?JHy;8&{
zh4rmZIW27IkkQloN5o7BU)x!p-aH_UZ}x2VdbCJ`fTeDkD^DnRd8v=HaX<zSf6`aw
zsiJ|Oe0mk7Lm1Uh&2N(yl0zx(J>iAf|MII-c|x$FC@R&MPHxbaN58}|e(y{gs683G
zrxq=S@7U8GW(Fvr@6KxpW+gP3t+=Qf$s&QxB~2kk<%&3(Y+BeoLW4Jqzv)G3lE}NS
z-%wdm8K+~ZwVVFwd@}VZ;jybU`b8WNS-h!&izjwmo2#M&SI`;_acvoN?ye6CR8d1c
zqDb)daZQM*bM{<RTZ0^%8pR*IR!32}pXv4PT5xtl<JA^oEsC5eOUd6&#bsAB%f!Rl
zpdsU_dZ$z#k9^+Z)4@kauF7rN^gRqv*<7%%?S}%2|2Ac1d8&zb?whWY($)bN-WY)*
z2_<xMJr**&SsPbM{~Kid^UcyE*1TY6Wppw=R=v)jfeFW`@pC$Q@R##ZOk9czCKl^R
z8q4V5&81$4Ie&d{(L8qBr9~CbZ9g>fw@3#ahnQ)8)dq0qfmxNFggOf4P$UC2bn%n%
z%=;QUBY0Z-f(*6Sz`V1Kw=9n9qG0}yeJQ=h(D2mud%PbNYwQcfPABPN>glx;W7kZe
zwK+FiI)H{DtMB<61?wUYyH`|(2NU>8VsD0Tpkvt-2PHsS7rlOE?>3h)2TCpXTkRz}
zE-rYal$_B)%@#iPM-2qL>bV=c;glvW$9z7<_ke*td9BVNF94YPgZ3G{)<pZ~{eKq}
zv{5RUwjdmA0l}2>H;gMZ@tua!r86mXq);Wl4TxJplAm4ik4R0VEhK<pnFcCJWXsH7
zw*(u_+>E^}npo)^8bT>l#s2{S0RR6Cmw7nUT@=SDOO~>aWh^t6F+<kOjIsSrqOv5V
zl1h>#dqQYmluBC2OG!yYDUzfJbCB#3QkIHDQudH2uYb>To_o)^=RV)>`OLAKS53}Z
zLY=p+QZlg;Uu~)x8HrKDc*7X$L+mwh!}>{jvz0bVC9j;938G-g?ZIv2&1<06Dzw-~
zRtq0Xp8N2;R{`sn*8Ha0uYrmuLWzKMG$}uk-nCH%U686oXRLwq>d((h*l6Mt#lI$x
zt;F$7PSv*5VM|DJ)Rb>}se#AVZ*;W2Cx|5{#r&LZTY~wnzhjcB>KL1UFs*C}57O%d
z9{nRM!SGIa|Fbiym|1w!K-yxGE88#_JKMe*O#i$4GvWsYqsH15Vl#WW3i6kCFWa{o
z6nXh?<rgXASW3W^PxQOo@a6g?R+9jk{u~wA5;E@ZSpUUd;XRRJeD;yzaezQ28OBt<
z9JV*p@0N~yC2U<rPVEr_sCsx-tig<g;@Zzw{&(&Nu`Ww&=E+I|j%rAP&?_lS-l!dZ
z=iMmLFLQvm+|B~7+|!lbeoO+Z+z%(`X^a!s@^tHGg3W=IbWvmA?Fx+ezHRwf<~U(G
zwxHLWVg`1j%`sm@L~xmP(Or?`ae}qXG$8klDR9E+FXa~BB~QbDZMNDtG4qF>vqi`h
z+FSoEDY?#v384pi<@b&eB0-JO={6?tMQbKfvzHeuJH0m!b&U{lVUu=SuX13Ymk8_|
z`^O!5RjvB;*-xTcwm(SWqcJF2uG%r3`-fW@YB6FGJVZEWT^35yGltgY*NN2eX>Qtc
zj@Yc~AQ73nIp)SWHvCy=YucDS$vy8_=<fHqpP+<EI~RRrfrM47h*#4X_hbh}f|1`x
zjO_FkDOt+`zn_0~KBWKTzD*_8^`!R_XT?u8dE_u*it+Bz-YtXNg(RCsPS|I{%-^1T
zNRA2aR)!Pl$zQq5w{17(M!N{D<Xt9p=ZxS8dw9he&t9(htkJ1Ur5}jcmp_uU=2k(9
z{iM9^nvdL}Pf8#1yWbH`oA*hCgsg%vuiPnW^arjz@5ZxwcCAEfQkLz}VM8d?72W3*
z(Z=;^IV<4J|CaFG94|!=Fodog%gY`M&D_t`Vmc3&HxU!+gT32E41g{jpLtNSfqRo1
zd3iXYj<~(F$L(jR0etpcbzYFanrrWLCytU>O)y2hRy57)gH=q8k8WWF*QUVpU#&nD
zp<>hh`^$NKIQ{dD_ExDfuGq}_k;?80;&kkv2q`&z;MI7|EpB|yjkY>?DQrbKaeK?I
zCGlJIpd#gAVMTC0_fYMDyzd%ZqQoGDr~9}rEb(qzotgWPyJeJYz3Ej6;jm9Mv@2H!
z1aq73+^I<CKG13yPyAj?e2lo{;q!GR%-S?=AE>{<l|6jr{LuL#B8!q>yh~*zY@ACK
z$-aA$ySZVQY?$<dxVcB_dYqd!oL_&F<1gdK-EzYE(t_{{Lf`6u<JSx=D2pfD$*GaV
z3?+ebs{1*S=^($>V3YyvYnbClwqGJR^3=fn{4a>P<ZGVWEEsV29c|g*$wWfv$n>E<
zCtnbJ>2~pk@pKRrY|A%)cZ=wq>GytaS45ok+n0H7NE2)hX+whVU1G_5czDI5nCK8T
z*>iQBCM=7UjpS>-M;wp-o10(#l9<2t*RAb74R#R)JKpF%AYNKLbBKv7C0xgDP`0d~
zfu!{3OaA{oB7(p16y!&6iJaWc6B7{{U{N;dOclx_g6e0#{pmwubE)-oLcco5Pq|Z0
zcRV3%WIbK(u_}m`uzUp-XLWF!jyf1w@st=Z-5eQESV;^wh{#1Wr~xT$_WhN*XN1=&
zipojvD#BQ~FDS}d4V=jFx^BOp6ZRcTjPq@)iOVXL-r5za;QH9pK5KI^@o$R3e_~%P
zQ52`N!r4+4IKQJ@gL_JdU+r!UvK95j-Jgd{N2{oiA0OU8d%z_g`DhCS?`a}hM5tFk
z+EZa7=&8)E9p!{ekjKr;jAkNCApWT6dkRdYxjB8{uOylWZQrc4Y$2lhRMzeDq=0tz
zyYfd}uL$vCv3bSiZG^Lnn^wVh6_`5F`QOi;*F^bB-_=gS?S%Ix=h1X=6}Z;)EM1FS
zOI%2qf4heGKp1VVojzo)42?Wn3ol-+CzKm09FhD^;*s*@qtd}jaOKk5u+DW&gsmRW
z>yy482^|w&nJxDf!NW@Wio;@k5(B0W?y-6Z&v)bF<N-2F{k-@zaYGBS@|*Lf`7gc1
zr>HE>W(FDTS6%h;Rc|A7G_#s7mh};Ww&r0y2Nb}JUDG<M(@tpTCH7`F^%Kc6DbfX8
zc_>;Y$sOGPfw<joI<ZlHkSOndsK%9)hqh3$y~Sgl#8uVzN7U{O5uSq0GP8biP-SGh
zHTwBSBAF8sl5l94_{JV?bE}bsrI+dNRJ?nL<2qBvBQ}l^+y-BfSuI&mxhP)NOa4Lx
zc{#o}5t|_9ceHR@<4NGM+l~B(_bZXR<m_V$-d{u?&w(w%JS13ev32-|(g3lf|M85q
z_B8RzrEy7BhzyYbDU^2~93+_GY@X6<zloiyrDJA4q(SV(5Gzak2O;S=+*`kTj#%EA
zyA*w;q3o@2!06O4p*>|9>}URu*h}$GeKsNmd7{Gkib-RHzqsDp;%Xj<r_G<sI4lKG
z^VEuy?h^!Q>Y8fboh7icQB2!pg%qfsdJymL_KRq&*s?L>F&~t5Z_RMZmV_f-%l<1#
zoF?9@g>Z!b2!QUDU0;?tN`gyn)2ctqX9>RR%hyyy3xU60n0GOcB$(<&mAW^~5h*J?
zRB5iFP}Zhts9Gig7UHRSGadg3hpzSYR%gXvm5TorpBM?)W8^bdufhu*PfU4!MM=O~
zzspC>eI#Jq+{@|o(xu>Z%EQt&LJA(9nMs}5ApuJl3V$6^;)h=S7NPPq88~-|QCj3J
z0mc)JYO$e$ATlC&y>gix%zyLDNxdooCfmOKmJk(&1iksEvriOY%irIPlb<ADX#9SE
z&#)+1ZcOl^rz^p}EZyWl7fG=CBP2u-7l+_&I%PZuD9~8%o_0t`3T&U*<@mmnfVQ~M
zx5FG&cwuu!Jm!xS)aE*LzpRsj_UNvQ_jJ|aQProNfhIB#qIRx<|CbD~-q7-E9BJS!
z-~a7i2MO$g+GJL2l>>L{+~A*g=x}NE!oi{+a$q;%evLh@0I1a}BB!hk=fdoieb15M
zH2qkNUcC}DR+g?%s?vcsuG7xNua$wZwEQy>LIJCHogRJb^g;T~+dyXzDl8FuP;x?9
z74}GUoE|SSfN9}Bb{4H_;Js&7Lj1cLO#jZPmo-=gr!K~r^H<W~!@4$UkvAIPU!z)^
ze%A;t@5&2)zFG@Lj!b?Isn>*o8+Qly@UWoy>fw;<J9R;$(rMSzb_U2Z`^5Gcv*8TQ
zBdPA90gPYnk}w!ptUKO&yDQTe&Obi)M%ct?aqd|+7k=o#4bmNM;Adk<4B?iR7_i|4
zM#}ZI>w&JrjZ$T04ix=M^9=Mffq+O(uY0XN=#Ae_RPQo|yLHTfr7z9llVYDv=NSXI
zsJz=`hTj-|D=R(z6$3D~U{9}?Gz7Op>$u5DERdQF+7_y52@=&YYbd^kurNyZef*yh
zaMatQ{cf*;qqB<1qbCd@JhL{lRLT%uHt2SEcU!@PL9E2(&4w`KCX_Pnp$qX3`f~c-
zTElp4#-L4)0o<c=-qje=p>b7_^{s<zfivKik+RYNo>nL2+5e=%cC8Of%B$8w$E(9l
zRTlc-d3+$Du}T(B-*_jRQ@s{W@KQcDtk#90*W<5hJ%!*|PQaUe(Q6^TSYkM%R2#Ni
zs;HBzz7hEYr9ZcduZ0XlR%Nab16FRcs&N?n#oc7|?8EyoYbX?|GTdoSgXp^U!}eT3
zB+C`ZZ>_Kb;r+Xmd;`^>zaYBYUrYkKPfW-D;j@C58_o*yJ*2>nnss#!lhR1apo!_O
zT?2AEMkI#?6k&Cef7r@0Srl0tq;NIX5;*R2{fRuXkQ1P4eJMj8wO8?P-rBty9^{2M
z_->ShEBBciU*9X>J%d4|YW8Ya=8^v0@s|kr>>QDriXx+V?UlruQ~<5e8AY}LA9!(w
zE1Db07(u)B(@q-TYmNSoBN?-Vlguu=cdcYps=8sihe5#2yqlzStM7zv<L55OC1aud
zb2m}2fIaC~t94~^iFbxJrToEUOgJw(d&<uow%05EqDc2~r(Vif<Y<zyH`rx9E7J_(
zk~%lFe4pU9mj_<c=}|zw?;c7QCrsf^DDU^vc5~cTl1JgaGzE0tdb>H;-V~}%KWv@$
z;zi#hcWvhmEXFT0YCq+hfX_sWVpJs`h9v)YZ0A-5yx5@Od{f;7QpLN(pVbRu)WOfo
z?>Z=8=Y8uJ5AJZlsgE~d*+pS2E~xR$c2mIX-PiV6(Kt|}$aWN8z8pL6sU%&#pn#g~
zn~K{DjA71-{nvk&80rvm`R^MP@YvIvanp9j;GD~;_b3;~@>T1!?lQ<Y)8KPy_YXFV
zWluT;zmmW^=dGW=NG0PbZr=D{JRACS?UUENl*HM$;sIH@is%Y4>n~cep(3y)+vkB4
zzLs1SQS(j_Z|xl`*!+hD*~xc8f5b`SZqCblb_q(T8t&S?r<esA49%A42pRN#R};<g
zRmK#a1?%spS@0|4pjhHA5{?}(=?QUC!D|AM!g^a+uzmbkrqUW&e8Ag$x}8ozjYgN8
z)4D9syz51Nvr-OaKc!SNpHPrRJpD~bvf#=&FBBom<G@z4$+^{3<eqKLuU}w7z<E2T
zffWk)o&DyDb|)1>e!2+6%`hSEVp4#b5E)COVRLGvDi*!EdGOyX6E3v+RvQZ|;%r@{
z2A`rDc6`{d>a-vW9DmM4+DR&*Gf&R?)(SN&F4|Fcmcjxb{}Muns*LRyc1+m&tD|FG
zW4ezu3!eDgpt-PAkYv-t6DFmBI*BGuhr?O$k3aBR#9}`q>C_z}MH+a<t7u{3DGQc_
zUl{0kPQis%o&5h?Xn0}jZ}N}7EVwwCy)kM%6)*f`p4vV^LzmlC5?i;h!J{-WD71r$
zS-Ll-_MX(l?|VkYM+@1|I=N<Lq^~N{N4xLb;Gv_VsR&wV7=y$-^@!e#D&9WDA5p!Z
zj{j(n1fp*ngGs*A8R1iE_{f<XTu?_xL#C#D36%pjXLNpT=2yqc3r>ZrS1@qX>4%K-
zIUJ~qx5zg<t&S^Bm_LePGtgo8%0=2Vfp3xmhGkRgxU;e(PRNRZF2=Hn{qId+|B0ww
zyt_4Un06?q)PRA-M#-O;A*S$`wzFf!V*iQ``nwz#=vdIU&+L(?85A6lH<RF}p~Tq_
z@0pM2Xi5#sPs%U@shbbCx&jT?DJkxJZA{0Lfs#{tY;*9P*L`%xmxfV$>4)qyHF1Da
zt?;<q9Lk?@hrLhGFhSQ@TVRHUdK}+lfvYXRto4M->Qgk_nXyJ+R+omq91F_-KDB_M
zO$E+HK{QnQM|mBvQ3L&#UwO4wmVl{t?WF_jXn4}dcxQr}I{xjaTHNp@K=h{aGRNgK
zTyN25b>2e_r|&wf<31oD!Rx~5QLYA>w|%}JzDE@=Z%DYv_nv^0ZM$vN+%<5^%CK$c
zc2aQ@Kl=r1oB(^@U47{j>X>TdX>remf*jR?3%7q0a9?h9OGvmnMzu|<r<N&WxVcu`
z#4rJr(DPTTM;7PRcV>F1M-fAGayD7F5a94q=)jz-8b0WX`t_1R#>PO)<grWwc;wfX
z9(=8e>8aJ8#!>RP=~(WPlYs;jz1g94LrWF!%z0WVi^}2EO@W*gO#;NiqoSY2Qc>QH
z`R83J3B{*WLw>hgz_oXq*<&LV+*o=l?b;0)ytaR9i{&v3Ft^uxzrl%urmvs;Ih87n
z*%$WP$SGQY&uNQ!od^}Y`?p}*M3WTmK5FuLuD~2-GcU=OY*t2#zZu6a(WJ0n{y1lo
zjX4B%8(7YmDq&%{W60?YNlcUZG3e5123Ci!a+R5iD0|20OWs;Z{HY{8W#nrHq^s4x
z_<)SE(rZT>g(Xq=$R&lIX;V1-WDg;`TLEqAk3T;>B7q4eg=~{ErjWAkZsxwL@@Qzq
zlW=BK0z;oY4i}I#1(}1G@%+6U4s=F(Wr;}QExG9rqjyZ8(&~~&l#v|zC%B&<0!eJM
z^!XfXU;;boN`s<VvN&(%t9j~@B);AttnBfM13N~2s=f7Ok@la~!}d{0Ockc547qTC
z8W1CYype=_uiE}z@s`44w~R-xP8fr=&)Z0~QzZQ3Ji0b!ObY!ziV2lmHU^n5Ff3_H
z!j?|Ihwo#h@gt@0MT4#}1ig?e_@ha}l5^BE#U?V?7BlvR(#nRTa-2^m6-an#hnz?1
ztPECPe;FoolnthJebwuzB>WVWt4XRQ;Rikk#bsJ-*qp!ez_=+1-88q@*WH&z-m6+Q
z+ds14>E8~d`jN1p<IUN_*X3~avGGa2L>Aod5GgtFkc5@5>PkkF<gw}Zw#v+{ESR~o
zy5!jc2~XsN@1D$5z=9prp+jUAw64#280;;J8Sd@Bt*XeVdh7hI?So7xHp$(v`?D+x
z&(}&`nNY+`tvGH;2@^Vx8zgD@$zfXasNPOpW!zQ%EtY<R2|lHQ@<#>aQRL~?DZWS*
z<Qop?P&>{95$2I&qfg~gPk1ML+dc|vFQ`2*3t&QCn>1N6L;)KW8Y-^IQIV?twvgYG
z2@WZ$X*(DHiOr`pzu6`#8ra3hNqaM)MZM)4O<56*55-HzT~NixGWSRSg)m{5pELbH
zSP7q>`*wxCP7RGKR!TcxWWwPllIt*^G8zRx+hi-Cj(=WXrDZ*4LbRU%sZvA*MT8`z
z*;VQooO;R4zlRBGW7dhER!}e{?EYlWDGdxm)~v8H3uv%^eS8W9TRq3?201ibQ@^9<
zjSmYHH}13ftwY6EJEF3057F>%b-VdTT=cbjD_TC6Q&HgCdM|-EP5h?ySWJV)hIJAQ
ziSOG~u`Ptq>1ELIVprBG*XwM!muI%*%nwy`^>bsCKB1%BMYZr>Bx7K$`lK^{ObzoI
z!k&p}Fp!=9Bw$&ZF)Z)xtG5zWN6WUq*DX#mP%-qCj4P7^fmxEz0ut1*tjJ;H2bY1p
z*y8Hk!U4;a`w<*z4djpg^<<`pfz;^F#d8Nuphn!e(C>l<zG2vkmoLVHjUxYzE1AOV
z=8%_V;~F?3Je}fL%D_3juGLqnO(Dd3q?^x<hEhv!y^T7^z@sq}dk6NLK~S0NjKMV;
z2Bhg^8wfFwf7AT%Cn<BtWd)2Ktf672xi8h~5FMK*Z4x%+nZw?chC#>gH2gxj-ds_w
ziKPKvv2;rdSlc_4l=+K>$qMGu4U77pe~EqZ)N2cPr<!inw3r{brW=ne>bHo~Kzx%4
z0VBFgr*18t-z0Y604~?Sw9>NY6Db4``jwUY<7mhyzwx;0KQ**J5^S~o2LW;KAH1Si
z)6g;AarddOsu-AKML!`4Ae%r95$e~#3BjawjjyRVtljKgrVb!hIAkyuqJa*ad3t3w
z1#84TuAW#4P_7irGc%@+2HV#Px@)W8ys)l5Sqng8_I}=3cXiAh`299oP6=nNqGDB*
z0gjulbTh10!<SyS_q3>!F)^s)kdqKVa?#i457gB#=uOSWL)+xBA!qIhse^zz8`U${
zkE-I2kcevjd|7NWUCs@QBOuJ~aZb`(D(0o}$oZO(Fxy(0l4nl9zsz6f$uugOD*j5K
zj!WaLH1%)(XAAHqsye)nQZUFw(k-xE3f-p0J)90%0QuPD?xi^@Si6cx;>>qREGgOL
zv0l^y4uz(6?h8;x1+}}R7P=&ATQ?i2C7VNPOofGji4roIH<AtFB~aR1eb7$b93nDB
z+1_%Bs67**tE?u0srRpZ;dx{Ru77kF7YZ^4>sp5Qeh|m@mko!v8=3)5POB=5DPY$!
zKA9JJ;<%t%vdrp*Dews#J;2tI$DuVPts`0D7?u03{hEa-e9V3&oU>C7_3a{#{eCHq
zXMpF_T$KrM#>c+>OP9r;^Rgz#hQ#qljg%j0qX}Hz=T_#oR2KIzCboGRNZ^t0YeWM&
zIiSzeasBrp5=LZIgmzq(z{Etyg-{<3eCpp58!bq}Dyvg}H}Fd0!6Tw+H)f5&e(gPn
z)`v1!S}a~2aZVCHmp*qP7Ipr2`p1jsyk!>6XGQP^iWG9C{g0Q^jDi1v%};Z-3>x^@
z(s}EpaO+q3j>t+jJZqeJeL+bERmoB2f1;%^c;$wk5>GaC-pf8eFDHX<YjP?Yon$b_
z-|0cWFdOE-GrJfJ87vl>Kf^L0VTe=R?G1%2IL6$alD%Q^-j7%PMO9=m&M#)E(>@lw
zJACb_a<mNYskE{)Rgyz`ve!D7MZMZI9o?qWB7*_#OXx+~@>ta(pkLR;gxBrDCg&E<
zRn(Jvd&E`&^G37VNOzcU;=f()J?SJohR&sdhscZjrr*97{!Fmgxu<S|E{l;PhXwb(
zP((!w_X>T23E}RYrI9F$5+8N^1qGEcQk;=3OlHDDf0Ha@(H8_fW9glqD(G^y_esZs
z5!mhAE19n$kM42xZZSR-v>gr1;*1!9!$QFFrxWtHq1WxzMhz-%YwY)F954duRn$$-
zniWv+!miAPZ&dUMFZpLSWCYz!UT@U6WaR#sj!%26im9&QZw+USV9%OoW2;LQaYguk
znc2f?IQA^B$yu5SzO|0$sC7!%zb^Xi(e>)sUNGtCV8(=CGF$fgS7n^-uJ?B!Y2Z^z
zdD_DROsG^!`gnt%f==_Nr&fK@z)OZ6GouAes4L_O%H5`5+p4JYYY%8>-DUXYr~nIw
zbW=V&Gohl7kL0sZUrpT5?aGPqUYu9e&9i!o+%i`E#O|0f9p~=oaOK~zK=jzpY~drS
zxU6>1e}YwX)FTZHe&56fBkiw#31l_AXA--Q?!rLz8tOrxZZ^c%-7oJgQbV^%>ypNH
z25wt2iT6T{p>nBnW{Z<LI^=0qedcK4js0HYwj>T5Z_7F__e~wmd`eIFAJ@Y1BlWDy
z6&#TFFiL>~8dwD5X>E73@XYZhO-{H8^w&D;RE%n%h|2p|(c4-WU~BOsUDp)Ua~(#+
z_s}rBE9_-ms21udCaG5qngZ{`OEvji8eTPM60V?Vq4edBR;x5KU}WrY*e<Gxg%Vef
zHD)j{h;cyc`WAD@@_H6Iy+#uWd&a*NybL_E*Jzvif;n87tNZuaQxjLm{jr~8(^0u>
zr;7J23s`Q+cIgh(#Jb`04I4LTqHTHaCh{VwY}DI-)MU3NUQXYsG`^_cPrYKD{q7U6
zw`FteN2Vr<s*@N6ni?oiG|-kT1IVZdwy>O{VfS(EZ!)uLn9##wr0N3<-D<QtdTWtK
zghLz$Q5Ee4kAJ+f0iYqSyF*)lks}^u7|)-jqN{E#DStP>z-Y~yfX5ox{q%I-8wU!i
zPka^NcmlXy+ErDeq=CGZkG95JE^@Ki{mAsieEsU?&;7^L@y@1eTX^^tkx~}pnd<=X
z26$(>ThuTm?u?wtuslvs%0jG}0N)MEx8GM$!-FngJmPufurGV%-w-JPYyKB|t@o+o
zoGhcwV=W1Pub%2oYa_remLebjh>Brx%vr-SX_QD|3C<iO;B`}wpy>n!8zM$%{k~FY
zV6m05d^rIhti>8~Oen}!8ShwXBZ+c{HHCiMw1CoW$FEStRq&uY(}sVC1kNryXA_`q
z0ggR7dXX=buxR!iIU!jb@BGoRHN9^Rs<DTz9XX(gTb*{dzZDe6t`XNWZ|LSw>~CkD
zYfi>q1*Wg6xfnVv1iuK%G6S<OU4)>D0`A!QZEX4T71)#Zc8$J<8Hh*zD*8*3N9Nwt
zn%?jg*s?6PjyK&Dc3SrCPNK=-1=7u%-iz_r$-K*tsHTup-MA#uK^E-|mPT|xUV*hb
z+kbbanLw5av3dORqW?*j9VID?VGn8PjFP$utUF~OCOIgB?v2s^#gvGli0}#iiTfNl
zk`cSBz(oeFHZQAvxJDccoP?fM>T@9OxP47bpEOdJhEAuIilb7>-mJ-&i+fk4OuzP7
zX$*RLF1pKB0zb1t)H`jBp+-r|RnbBkFD`$y-g!s@>mn)QbsyP~61(xp`{mN;li29D
z{iY-qTCV#~>L44^ebiUAPfFp9?5^6~u2Sg!nLj{4f(_qWgNhSIrLgYykz308(s)jL
zb;slr7N|6;)h6;tqxjeQoCqlyOk1`-RDU}QuG8id{b<rScFlkuu;^Fp#-TzPJ{E+|
z={(BbBaJa(Pb6hUWs#AlcyMVU6F7APN&j-Caq9RxySr35luJ)kat~sHKHslo1qm56
zjJKUJT`!N5KmQEe)?q@Du7YFPqK|mF$mociRKOoC$<3@^MzHW@+qQf$5-PvBUaVG2
zMsX+B!JG;sSSCxFf3?UL@w=5OBGr`eUS+|Z_!~y>KL7v#|Njh^cOaE*7{=|r4vxLo
z;aG=r>~#|=A|pE_q=bx?krEY^&x(XnG|eVSoLgn3K@=%vWHhXb5c$r(_g~L*zt4MJ
zzhBOiit$!oaZDsna=!Xc4uf`1oJ)zPfl^1|wPP|8cw~#os5`p?rr@hlg<u*qm#~@D
z%}HRA$5f0=mjc=(4%I1o(ctWOX*jW85-)d{4U!5K(PBSgpQR@aLK0HH>b;i2J}tNN
zm-i~+Zi5yF;~*LcW)yiR3`pa(yG0lF*eYY@mVIlzhiTBAR4=XlQwA4US!g1PD(D^6
z|F!QT4ZJDa$y=o5@Z*6V@9uRKwC$YiT<oR+x%8cIwwpX2jdl4D@ktd;KflNv7dC+D
z(gr(iM+K~yXuW0kNDbppn>$cL3_yza;n{6J70|~!f@Ygd!WZd{q%Exm(D?VFZQ4ae
z-0)j2?$dU4oY;~bvD?rPtT!GMvvX8J(kXVbtc(VpeSH2`QoSKK%CB>NT2?|AvY%W<
zrv^%Gx?V}%WCXDzhg#fjC}Zwr$Cr~k$jBkJB3v_R1pdsQT0&e^@cVw~6B#0-qx5Cw
z?sLXqzu(Qia6tuEn7<z1Z=#8pK3GS;cQOH*=#hMj992yF>iai4MiV(7Ueh`&WD04H
z#=1up)sQ8Bb}%MI6I<E_Qk4cx;kMl_!2{)LICmiM*+i%&PHz``>~+HoY8BhiT$F??
z_m3azlF`JVlbi1)>^FxPpYmv83<=2{R5AN&WZc}^D00Ta0)``tOOoqJ_#@)le~arH
zDE_D1Z^u6iklr^P>NU=oFO)<QbTx4MKx@vxT}v1bZP8p^BB5c@&CozYb+kA=Pv-Tq
zf(kpXk-&Kp>Nl+(ke4RmXco`q#7QfdIavEZ?iC5&+?|zpF{X-gg>pN~DFDe&x|P$j
zNLZScG2VV&1)FPIWt4*e_FU^RC^aM@P3@@5vZXR^{rKBBFAbn(sra=}s~XypY<35Z
zDB|m(<Xd$`0Jpp9TNNzSa6tMrf5k}!q`seOc~}mhdg)Gd))iH})`bDhd*$$vz)NMN
z%K&R;ZGs7m{qKLGo2dRx8nwy;N;<LuDA^A#8Jnvh3tQ&Xqq&mE`>CJ#@j-xYS<T00
z@yaM>{{7_U2yx8QNYd7K2dHy(`SGJx2}dTU60Ro^QM(~vCXNJ9WK^}9JEn*aeq}yP
zY!g8(;_So1uU2p%tD?qCToI!pXJ6Gh2&38|-JZq6R&XsfU#HSZ0r>`B6Uw*<=q%dy
z&uiTh?4~Ws%7o>y`%g=G@~R*%bICb<NVbHK9r}*xg|fJVATMv@Du96>Px<X!wt)QX
zPP=4^3_f|c``ckIeoP+nZOMwZfU;Q?xh+FdD5fMp3X<YO4e3h#&T(_760nRWUXjEb
zmilolM|qL(5A@A_&B3tJ&1%mP34Cno9DG`b7nKEn+JAXv27cbgx7_2z@u1Row;V-Y
zyz{YeILFouqC8ovqEp3CPT|`o2UlJUs9biLZ#0G1Vj|1`s);znR&IQyo)<qpSlX9k
zU<!2}VZuLuisEhJ5R>CpJ~US3tp0k(1bjQXHCWw5kxfL*<GBbwjz&a82kMysUnbLD
zd@h1hH`Dzim<4d-&y+TY`^KPMA)ZpST?DT_W(l(*3S#GQP{4|*G5D0`+Rt%_;K6~E
zC&$%<@K8biOkJxHH2>RhRiaZEGYvOw$?X-w&#8rCZQG1McKGSt@G@aMXg(U^kV8P=
zUFnOMGK62_xu&+c!uYZ9Ix#Fz81M4b-kd*X2tnGx_XG-svH04nl|c&;Ozb=tb4kt+
zM7|V^+1wMxs>9B$ty-cu$1<Ssq{RSU(`GIAjtOJLQ{~IyT0~^pYGr>n+yK5MdCRM+
zi(uq>O|Y7U7&iThOno6~00FF9rxj8}u&Vu4bZDSB7Kh1wJM@|cK2MhH6=y`S;nLuG
zVV(rCM6=qfouxsh9!Y08N)$)Wu3gm}ltlJV9?l*vH28DH!!m=Fh(0l2p6;hg<NcEH
z2U#*SIAj0lOJgMwJ&1R1R+P%1v&mJSsCg<7wy$R%3lqca#EYwM<mB*<%_rycuc^>A
zaI3!6P#onRQ{C^}md7reBAu3cDwK7QUdKpE;5FB-mp&B=XcXFAQCmR;53a{;zJikY
zf+s?ICQT7<K2PVN-J(Lqx0TK25>n{6OFY0MObO36zvw65r-Eo+dP)`JeA;@y1CF^U
zqexZa)x$5S5W2f9NH9nS*Lozm*{oFX8`m=j_Fq&`Vd~CHFO|h{ioY+fo+>U=RlFal
z)1bE|Q1!>O9NN6O;P0TKh9+BO-GicNFcj!W_EJ?qr4Wv%KZzv#c=JZV^Jg^BzkTD_
z*Y^tOw6vO6$)b+>dD`bQwG5!o%BDRkPZ6IlZtcjNP{*Zf@3RQk4M1J~nM#n05^meR
z`i9h`fuUDo2M*{NLIvqwz_freipO_Go=zcS#|S0)$SXrwFVk_KeW8rcs?;WS=xCyU
zQ=eu+k`a8_71cO@N(FD!Zt4?j)<hO>p*bVQyKOe=wa~Xv#oIm|eteo*cx~79#qaDU
zu&3aBXT?`l^n4}QKCn*<W0T|?)Q3#K__Pn3;%PO!vFw<1;gl9CrW@}bd~6D)K_mL+
zjQs5#`aswmrG@`x=2M-on89q@w!>F0kT7|_^{lv}7FKADr`Vq~2jM#tSwzPDz1=51
zG+olf!K&SYvSAkBA=2zw=BkcYd}!AnO_K3_)=j6MmX@Fu<#ey<ggVw&icpgNX<#E~
zUhE{76$smRbVik^<7BHY%g#x4thti=FaWJ!<o!2=sB`K#En+TIbd!Yk^P49wGV)*4
zG$hF)QXQq17d84ftD)hF`+&fH06recS2U7329}3>nCNBnf<o*EyITNn%=&H|e@eo%
zO_o}EjCbOuRpp)j8sLkI@PxcA2`9JBw&->!;_pey#N`Qq=knQ=^_6P4vti-kH(LcX
zTzY<WU<N?vqQvrvHB}7h-TGJXqAWHHom`ll0+{%Gn~lQQzeQ%(*B|{-IBFa-HT)J}
za`45Q3sEXaJ~ojMXD5Np|4cWC)dR?Rhr~b5SH_P|Wg@Gmi75X2><aUL05&W7zmL`_
zp|MW8<)gPESh+hcLwh@b;m&h4MSY4G*}I@D#3YP2WCDg|l>rK9_B@AwDc}aR{+SOE
zLfCVsr}0z=V{e18o@!zWI8_$+Xp|;^8OIkT$E>a3F5@$tPnN?#idAAVFCXSOYE|91
zZwcE;auW8VGAP??ax2k;2cP)8{qb4J5{^w#n|}LBqr29Ec^Nl1t_I|FZ2Zpx`qifW
z4t$ry?J@~p4du9S-?8aau1n^ydNK9+P`(6y`*ZbYat0?ZJ2N|K?=*)myj@pI{KV1F
z$n&nU4JZ1GF?aX8FoPRb%N<#a{1S|v5{S3rL|WUwOm-797-2S!lr|?~>SCf<WjrS~
zQDPFpZkU1`lUpr#iDFI6dc?q2PV{?ILO3L03S3D#y?6f;!H&zu>r$t=F#1SAWbs)O
zkkeSH{5B$tZ5938=^osSURc<!!Da#<e}s)2xd=0OV?(>@CLVm;pqsk;s4=i`)(dnG
z5YVTmApK(iFU}jr7oY!U1nWledp;x(P#tQvg`DTZIiv0WW>btHWgqq2Q3C>ldq$p8
z=J@e2MxMRNZ3HH<9fnh!1V;W4^tbO8M9U&)`K5eASi1gw$Z1{(xo7f|JC6!sktS!U
zILQ#&+I0;6&IzFg_qn2VUjpj5*1p})WB~WK55IKbAYj%+LbQ~<Fg}m@Bu4i(fIEMu
zO4=y|G;}->oMkP7#an)Ky;-I~`^6vbKlc$ZK<!@hf|Dq6`!~&ZU#7vQ+^2VsJSE_+
z4bLfSdx`iZyegaMOoK^Q_X%B1Vf-xkVlB8t46_!Qs9Y>G5MeT5p1dxMk=L7wetZ_k
zBO&6xvQ1PNoE^z2FciVh(Lem%j3klMyJouoC>0>H!o_w_1cMY+#?8y6knk+B__+fW
zoRUZTS#w2^M@#9Yo(h96>_WsY$Wh_ycloXJ{zSCeEajf|NEYcC#d6Dk^&zzhzmqM+
z@N>R)lFcr8od5Ym_uiO3L_V}t>eLrU?~v8|S$PWh@`g-h**kp@AJE?M)=UD8c`co^
zlNE6&*Uk39TYV@uid41okwn+OS65wQl~Cr?SoqfweK<2-=>7V%6dtsjjQtm-jGhZ5
zKgU&lP}R_VEZHrMr(2UfyJA&vzV%()oGKNDEq5P{P?tqNns7sZqAE(Y-wK)wq{6KU
zOZMhmITZQ9eXjnL8s^IuRQpv@!K=3@{{;ube@H1Og7ZkY&UevDmzxH8hpM-vG5qJy
zkxxf8i`5Z(W0P$YXpn!Q?k^N5VkJ{tc}<Z95+C!ATCCIHlwFAOo=_!xkX^7cc$SRO
ziw~uv3k{$+v^t%`NEyG}4lr2StBKG^3hS^l1c}Mpn~+Ndof5-upq>`C77ps%;V^=p
zfzQ<g{VI6&L}}WYek~Nfq&U9#-U!mEU78dI-_}R!C7kxuMxz|XhT0}$xbOF4+&M@M
z+5NsKNZ-`P&OpBt8nq@swpRIdfZ+vgd<`DtHf_9|bo=E<g(-N~CCWC`kx*(zE%a)o
zHlmNo^)ppwkTtiiqG+p*CMWZgzi!h;nV1dt)oRUwz)Z<|`%oSIPZ1hSQ40+#x3Fnc
zTLAS-DEAhE2Erem5yFfn?$v40ZM<v={Hggp@eUfe@OqT&IYPz)rGgaJG%NUGo|MVD
zQv;8gN4W1S)xdSL$%V)20QcOqcJK1kKsE0Jy>E5Z@zA3>vfOcicZv_Z#7G)=W@|{l
zUWpo7NCXXPy#O$#E)8b(spGj@PDdPORnTIGU-AidYf!#2B<r+89cQ|BT`Q(3V`OC6
zxjov}AhjXWrQ-z&b$<1KI(JABYh8xQTQ)G}{SmYFvLp=BH4PX!!QdS3ta`#`Yq;X(
z8(8n5hUdOqQE~+t<TiOzvD4BTT$@L>B_^n%wfg4~B^^nmEe(w+t6IY_rGHQ_TLsU2
zDdKSS6T|!`cW-g8GkiheNJ46{GIH4{<o$Xrf){T6X8!S#k^kOwt>2fGu#P(O=5{s#
z!>9NSZ{;!kXeuPH>8c`@ZYnhzun@$<L%u8mZU8bvoy~U{yhYX!I{)b>FV^~7I6vb7
z5Y8=i_luCn2JiUiD<<67bl<2VJJ|{{3jJew&&lEk(H-JF+?@D1hp^B#VhOL<4*rzx
zk;dqYUoX(S*iow}e3O^8C5Qwpic(2Zc*)`5IYBWtoYftz<t?=UV(qFa_XP=jz_Za*
z&Xg5PWJf-GteOL-fcE?`b#de?%nC}XXF=WS#@D_KkMLAuiFopkh~f2Cx;&{YC_FmC
zyxw32_G6*0-d9Dj%<DY8I+q2xIQk=gN}GYLSgOvJ91(n!DscGl5DQwVoegL_W(w8U
z%wnuB3gg+DwB$NJR`f_^XU8cMs5N9&`LCUTwV5xKW;oc8`cdb&^EMNxcpd)FMUa4U
zQGIfK@7eIa(AfF%r;Puiuc;(0P6)@Ryh@C_*|99vRcOx8818I#q03JQVj1geuDJ;g
zJga3S>|bL9YGdIVHzWmd)^TB>L7EHSiT;--NHzky?X$*vj|yP(LP!ZIk{g+Lc1mkj
z7{X-WY_U6000oY{;!7RmL3i=`f4w?}&}c@gi+RtF`$Uaz*9Y_A&zC`#dJhd?O^R)v
z=Q%$*JWCHY=N7=ImI&1-djqJ5y(M^goFC)HFPW@&3F3y{`j*D`H29hBu{ci_zzJGN
zz^!*ecy&$N(Jht+Q_)mgwhIDCEcT;B^%HPshGRyo5DngnCG*MY3SzlT|Dg3(VI&%s
z+k`QA`_hTrsg56lXoCNyDEy-M_FYu-$p9)GwRg3h+%1IfCx5AV+Y+()4{oOkQsKRf
zUbxh(5K4rrp81d^hVe{Z_M>h3U=>5%B9lSDr;h20ALqo;{W!Cp$Vq)je8RC!*+>|x
z(=at+w<ON@KBjDU(uZfC{mSE)h0(e*Dj@Zb6!JJ7J+(`gk^h`>U5C0wP%5P=;rk^S
zY!_k=m|xTbvx#+|<j11uUn$r`36w*QN-q1}K|P3CFXEqRBI3M^RGY1g0w#z5@%h`S
z2Wf>{_sG2!!#5}9_ydTFSRnelIi^()6!zsryRk^1S$kH|Q7I+lXMbkq^-2$@PHRwU
zCy5*TLHRpb8NJ)Rj*pG&0Wr7PNurd|FUoHs_uHx9FTUx!LHznKz#7kICm@4MDi-{E
zcdKGtr*Q_^ULRB>Ce~APWpTjd^2_5nYIs%aPj+#RK1hY|o7R)%@u{Tyuf`@4F5dih
zpJ!elzLAN(#o-D#TzX2#>8m<2aoVIj2&F=VX->)DMn!bfYoE^+B;#LNQf}oO6_QnM
zX69-tA=jC*`M+dMd~VD!cQ2O)dv>#KcrBugr8eU)Wel`X`H=Z(?JWlICFjU5m4C{}
zU+#OiT1^}GU+-=IE@KE(rDHE|PO4y9WV_F!Kia6JqQ^{NGXmq>pIc{NsA4|vaN*}t
z9Sr?LoBq0P1V?_c=?Pb;;X~PLLN~;8@$ii{lUMvEaCgP+6+MB3C2#gl{d3pF-JbD<
zykt|D^>u9WFjdC}pIn<x7hQaFUS4u!s~IHU&$8wGqK=oXv*zPDb+P(yPhfVuIV3*~
z+bkHTfzFQ<&)nOugG&83o~B>60H@K;vhSlB_{;f6X7_n*d?+%VUfpB~rze(~F6okS
zZ&%Xx4RKl+5Xl^RztakuzUTb=;X%gA%i6aZ_%xAA!hZkr0D!(M&f!b$WDGg;R(CN%
z1A|hWuP1i`IQ3Tg-5`;Xq!iugU&`<X`d^1YC2LsvDRkH7jRt1iX}JP-RMBXy;9qu_
zHH_T2;<vI*0|OJn-4<>uV_&;8MWE0ce)alq$-S$NtIm|T;VMN`_K_K?x@QeL<Ahs>
zXGmD&J)12YDvyVsI;09UTEo_y)D8IpBoyg$cw12{jg%Ey%9&bg2nQVdEvAMs7RC9i
zLJ~+ZJF<Bp*BZ`n)obMOtK#0{RZ-c!4E~yh`-zP6^qe=Y=U-CB`Gr?zb3X|9R@^f1
zfUY$-R2?UEe^9~~qH{J2PX+Ku{^@3uX#mf~^C!oe6tSDzpoA%m2P@l5>zT^|{8<H9
zyUG;M<ym4Xv6%y3tq#5EVf2gi$+8C@WaM$d$zw2(&We;ru=&HP73>tOx*)|RixAUE
zZt!PD<@9aL*PX54N`;Yr2A?!~zWXvOExJxmev;^S@S-I++pwl9GJ5gQ#Wi{EJ*#w+
zFLo~Q-2w#F^shGV6UVsSoUKoaR_Mm=R>#v#Ea1)gp+22nB61EL|L%QenLanqoOB?A
z;inzPHXrm6#kq^Le^&C#bgtyeh2aloppeJr`Hn>d-^Aw<`z)5}9CCa^VR~jj9wY8%
zdQHHyyOZ(@dY0*j_xMB|K5YsLcLR6OnuL&3OZtp)#|r(_{uS|nNfS_v_7iR@6hsG>
zukk6ut8`!a6WWfOOu%OR`-R{|eoW_KHIcu%M!$1^PtlHQW7zX(#3(7759^L!DBK;l
zPQP%<;ln*KWB4<#znLS17wa{yt(|?$gbJGi&$_1>LHM4@P3w_7$dzuDz%{^(Yi{!I
z9TpAYl*E0v#7b^_D$cHPf`=8$*H#HvBMhOVIez0qNp5^t|ISO_oeiJu&@T_4G=M^$
z#~xaBTqx)y68QTLJ96C%yI8f$0Awp{OS6-?&~)q2dq)x{CUM05N&H3w*T&v!Q_)<Q
zCuKTqb)O5>!!&NrGWx<>>>BaZ87@39RkFv?mj`)#f^VxZ(ID&DiG4yZxlp*fKYEKa
zALbFilB{y6AXL2PUm}egnd$rV4leWK@!02ndo`#KaQ$MGNDDUxryZo({t?7+!-L$P
zTlHbhg}N~&mIoj9b#ANYB_Ma*KKfvoJ`{wJVv;xU;^L!@6Z>?8apq-mc%`5|?A^FB
z8nuBBZQq6IyM>A%M~#nYRg)gjM=D~Qg85PU_i_DScSP~^BK_UQSUq^_w(v-;LI7vP
zzvzA^ilLEjEbFSa9&A!gJkY}{gxw>d1+Q|&apvO65#M<VENR;*)H3>Vnk>3Qi7bh-
zeg0N_O%#|Q^nLTHBj8_;Lqz8xDRkuGTIkK8z&BGm=~SgKTIjKEJY6k=)v2G$vZE=`
zr`9#kR4;;aKTh6zUMz>1cN&zzmjYW#O-^RK7sa(0wKCUj3RqoM<i_kmfgGvnf<X~6
zoG%bh6A4#DCZoeSM0W~Y|M63!V3#-+ihVK|{!a-#t0Xs$git{B-miSaHxl^bL!}V&
z6J=cex&GqYNeWo?*K7Utl)~dCmYa-OR52r}TcQ6E1-zedQ+s|(qf7Qrl`<za>~d*K
z3ue)S*zsTE#+9=8ec@Pg-W3vZ%XEtR1v2Ir9n;m~<&m2u>ifYJb>zA9(&SXH9{i_S
zJGHMy0e8x5;ICxlrF)9S=L<XZAs{?s>-SrV*sgXmFZ6~c&R+4^C&WdC{x5fIt*e#L
z+`?zBbVdtrY3DBsbWy>-|J}T79fPxr&6PzJbx_P>w2)dsgM+tpr!req@Q>zo4OatQ
zJceYa;A;kuvHC#rSC=Y&JQ|RDNQi=A;_Q5RjfTKaAFgEXQN!B9Z#Nu>pkV2H@s^x#
zMliR(f2h5Sgev6Plf+vT%)fD)IH+R+$(1yXXLahxEYGhh-9o`Q^5%Q{Q%#{KRZf=g
zEW<0#OKY;;reN{9WYzBxGdM!~EOf$-j5{P67UN?nXtET}ecr|brahLgY7dcdODH$%
zOAZQd|2>g;ro<BbmKz=RJ85E`Q%+CLpbm;epKuJDu!6^ikuv9UG?5xtr1!-|8!ufn
zQ1(9qFnp}7Z|0gN1_v0}iX><vOY52Y+l8$`BG59}C!NvX+LfMF!5SEG-n1t!%^GHe
zTe)0~HL+T8*maj2318$XsP}%dhLu3yErfb9%K8uSPdrvZy*6)pm%I)5%Zw<T;v{1c
zNmbw7O$j}m<yS`RZNO2Ed{{|`;Z5Y0@!=79bbU?!h}&$yFe8q1mZFXmGDUA+x=Lfl
zhPVR+M;rL!dOvbAk%U;*+x<#F9Ocw!>MXTvAl@N!#cNCzC6=>ULbOD1m(P$8<*zm5
z*6jN6;))7#1vhoEM+sus_rt&07`?X8nF2?>l(Ep$?z74sZu~|W)Oa6d4P&Ls&QE!i
zu*P)F^S%QcDr)#YFOX#1cX(UBNs9u0q&{)==V8LjC7LJtn*dI<oKy&1m&2{sw;A2h
zU#9Pq<#Oor2MGLREe+>nFr~m*;!x)=`tuQ^x|T&N2&V4orf!tN@pQ92t^Tw0zhmDt
zhjp!B$>I0>8yN}gof<JT+V_?IAS5Q&Y>y>eyw~n;CLxAA%*C0XW5?-D`%|ACylMf9
zcKKs=W}+y#Lt%VCa*WQtG}HNL)BsIDvcDX94<$guNnyOg8p?T3W|VHtrI6pPVh%h5
zrqxL+LKsZ4PLDGmrI)$1&lv4BgS48jELoa@xHEyjaoA>zuCA~9#<b29CijN671r?K
zaAV6KXO?k#5PO*98oMc6?QV~0PT;}png{Z-9+ULfBVrBdz9wK!*lMYHmJ1sdWUE<Z
zztNY+|NHmuo-ypCJ>+=yi32SXGi*26Ow&DyyFK~|#?X0JCB;389f|V$3CTWl^v^Bl
zB=+w&f)0_6Bh`j%_-cF4w3yycdbiWkc>V`N;Evh9`8kypTV;DqOO$`pD<q%1SKVj`
z_F?<HKLoL0OIhTuES*LArm#1xg7pTF8CmA$+r*5={yzV`=CVZZ48QATrD*_~Vk2oH
z8<_F-@_#KG&aBYCF*|I!Sx$rGM;@28=9n<|SjED-PpkAj0^?LG1sXIn`J7XK!h~#l
z0@!4o*Xg%zSv0O)rb605S^ckdOlb8*;Jfk+6K*dU5F1sc!m*`a+O;p3@JPW+iHr6u
zm>E`cc(#VY)dy%x5-iNv;%H#daF-R=!{gI*%o%?1!K+)rlNkfgUDIBpv7-d-&P4S~
zJs49w7bw-ijK;Fl@3p%*Fgj^gC^c9QUMXu3Z+o#|Ncxr@$5ULG`Qe*l*BS+kP8dfH
zv$10E=Go|Me;(wdkk>0qD6m7FX!iFtD}D@L%H8Y9hox^nU-tkC$Zc9+Ds5oHZSK7h
zDF*~lEa`d*=Nnx()w9*5?g=~IOnLs#Jx~Z`7x#Vtr>zU+U0dW2{NTVMahKckMFdp4
zV5G4jUk5bW$7Vf@x$vWzklgKAVN`XRldj;>0fNoTJh7YHxRjDy^B_<ZYuoG#s2SQ2
z!+G5Hz6CEb8P?p^pC;mgGhbf{N@#<{9{1W^fBA5cIpmCYkvNVPwdP!}(*m-=&V&nN
z0{A}w009606qk2A)!!e-B{Q<;wXb#Ub?tFqNFm>rLR%uEL8)k<D2k+zLLov#R!SwG
zQ%WVfR46Gj3Jqi=et!SH&-;(}Igj&xy`C>a&GQHU^Oq(;zEhT&yR=dN`O@qC$Aw6S
z-iEs}TV%*gaJ~JIhBkVN`FQ6tgo*q3^^NHV<w*URXtQVR+IS#6A>7_6Lg;#9pVr?|
zAgr)mb&X?M_z{1l(ZfKDJdtgz(-BZ2!KzVuY;4*X;rA2%kRwjIvwyUoccYW}q!#yD
zO>O+Cw9dF_BuU;en=gx1D3j-rvx>tZ+SvZ+WzgZzQe^$h#>!uGRgxge;r{5mHgsZx
zFPq$^k-Uv^QK>i7$i3TK9X+u+NKVvy#+N2b9RBUHK5xt*t6ZWNxo^_NsL3SPr5o}@
zN^EtiMw<p<mlMeI*sh0ok?c~}U5X@xDK)j@kQU)NUiC0(wLX?=iT3cFQ6f8ci^N=z
z(jlCxQ)=FV2GDXgXrn6WBvgc(ja8vbE^r9vul;2J2HQm0{ID_!EN*g-lG7*7K9@2U
zPa5Ky?rD#cnySR{hyH`QR(%qwIze|-V#4&?tR{DW8i~2Lb=*DBfVjo0<~|HGMq2&`
zlQntjWKm7G*TGQ((iN&Y7|>&aB%d}t$qoidypd3_XoVqh$7J@AKr=-09uHIdt3ia<
zIQ$aaZ%8`rci;UWVS%qhD}F|EXpzSiy?Y{k3`y>Pi+wDbEKyeI_orc4i)<GEd9qF3
zkO)06d%QT#8v8iMj-9%tO{iyIir%FfkkJ{%yKlilYPDMOT{9iB+)a~t=&e49(+std
z+z*_15+e~FuS4i1r`g3z^+;S>Wp$ChEqEl>4X54EA#-smx0kNeAv&%(VvX-@VHtbk
z?9Zb*gzeYPMRJLnL_|lAP1V~D8~e5$_#mi5)&_gZ`Ddt;>}O9@2Ab?pb8mj5n~ydT
zzJ}VmI2H2QH&C7?X^#`-GB;mGXpyta9zMlkCGtbnTD9299ux6uO22(H36HMX{v$tR
z$!#}Zt97>aNN;lr`J<pgGEU#vs^=m}IA2d)XE5xszSs7c!98`d%$7Ajs4PNAO6qFo
z2|IM1fA8vPtVZ^|a@nCH%}3rgdkw5DUYN)1&<p7sDrA%F^6wYvi-|{_Vb1sUcDTRz
zaQp^-WzsY!y*a#TidubCy)^8nEwauBY!F+RZ^}#liQ2yJRM>y~tdS^N__*BN<JzJ?
zstzg!2|2x{EN&l;h!C-bX67$9rxsb_?bviMx{0t38<^F$W&m<pCEu=(OOxWIYx!v=
zA6aus5>8(<fxBux9+&JT$>BpGF+F1atn{$vP0NE=2$q=9w0tZ^jM$FMm@9l|%?u<+
zswCJTmv!%Wd!PtW{2C*>LwA&w+#Oh$RbdTTFIPRqH9}-S)^U$~;SW~Cv}aCmw-rk3
z#+X*M{6ywconYbc4;H27Hu^)*3fCl^GKd2&u{iqFyV7o<U-pu<vZEz#b_Se}Rpuhb
zeLpv843Dt>xY%qTjkdr$htKBQ+!vEF&zs>ca>K0Bv@U1K26G&riizIQ#YRd-HWF#J
zZ!8_(>OUJK&GCNf0^h53|EOoK*QT>82Uv`<_N80>%<x%D%-r_yG$rG3t=`xDE9>!f
znV3&Crg#?G5Petd54GZ)oL<t@7gn!$;8YUL6cWekOX&15%E|9ew^V))OS{W^y~!~X
zI2rKOi6;G|QqM34w|9JC`LUIzp6M}$?!1A+)%(Mgt<856x6Jn}S*@?{);SwvR$A>E
z^=*(EoJd;lng53MHTPzVR}~YzyuqsL^S@Ht2AQvN##>k?ug&|!X)-bAmi?`+`wNxU
zzdFK7;1#R*=bee1EF&<7a^)G3Jydt3+Jm90r>sHRmC6{J5mY<c^i6p_Qg-z8KYN}$
zV!2p!%7|YvgyNJ~P)u0|_2RYk>uuBJEY3WUjXKhXxc+%}=-TgZslVCHPuBgr&gv|C
z_O;@g0Zdl3I9uhsp*-sjJlWm1mf9>JpnP7{0DHHEy;}9MjY>X!d8y0bb?TKvGk;F0
zJ{kra)9<ftrIt>-t}>>VQ3^gQ{&w2vLov;<Ia{-ZQsJ>OBg0jceyL}#O_m;VTLQif
zW;Rj72iVu@ni48y&EX%FFLZHNl4iMeUn4ctdeI@Sr<QuNy?yf6A05n!4ul^qZ=hCR
zy2WD@@titx-{R;iO&#3ty1n~`X9M*m<5F&h!Yk_JmS@4T-r6X?;#(UX*g*AFHyVgG
zHBozvIh{zh7IcqkH+H;hpx(E27HwYHN@b=}l}Y`YICyfhPB*!cT4J)5{hi%ws?Oh_
z_Mo07((ZZA)@C(Py`J2s(p=lAP5g7Uc3~RW>JzBs`L~&p>9oDv8}*KAnp?l2yP1Kd
zckeo+wYE@K4>%+!c6LzZNemwibq3T=1pM-9Xr<0<KM=^V^#is2SDH0<lsaU4@<K*N
z+o)at+{e>JKT&o90x4U1)v&v0KB>y$4RuwXW3r6>Gqt)iu29fX4PuGP+q=rzDXTW4
zDE(_+D0<bIO+00)$Q;!e<8XgRNo{`<e|2jg_588>8hv?HtVry*9In$r)vdQN$an0g
z_Bkyv3QkY~93y=7&ATX>yqM+tb`DbQ80f3vP(io;74MtjAE}?&-{sC#e50Oo8niAB
zS4J6=#+JCKhdTbH^(2EeLN%47xETMXBS*lHf7Pzflw1x{PILXFx=Ta(osZMu*Lb#O
z=;s%zLH5V6d*UyOCZ+hmY7rf)=M{OFxqZ}cyA^`EE5;~oUz3~su}bI>kXscT(@$O8
zy(lGJV}d%vYg1k$p#)lW3>9>BklLMS-BxBZN&Q!ouzFj*BJLJ8tDPSDMm0R+ZCrY8
znlk!)=IflLB3?X-cFaFGLUC#O>>QAsrS^9PG#xEaK<(1TAJ+7RJ^h?|OlfG2nxS{)
zpX!yzi>U7FMy0=~V|P2UiWe^;bKySg&#1}crZunU8ox0rtRzV3<Rf;XKDfD6ELaYj
zYNzX!S5Hu$i$yP#=W!5MlVwM~yp+Wb|0~a{{U<5=C3M4`Pq~QVM?vlnTC(^Wbn0Z~
zqiITCbBB+qEH8O;qA67)O$OsrKEtfFv($%8LzCO?@Db<eTxA;x8F1YAecn)Oo@)2s
zI+30vK<<vulY#3rw9NHhjMZ2~<Q?Db$>|XyGiz&NcCu(tVXLr68DuB9drrIMXN!<e
zr#OQS{gQ@~pQxkVI}YM~Jt<5&S&XcyvEn-YP#SMX?y(=A;UexeeY=m|mmn8h=hCR_
z(vY~MX`SlMOCBC?ObU~fCT}){rJ+C?9@AbtZsUC9s`<`~zsqF^7t1mp@1@a`wNj_?
ztpK?kBx{j<L7w>3PmVa7(4fzLIrR>^FximEeKo#Qkp!EZ@H*N+!_MY)Q9iXI<i+n^
ze`X?`3>m)YxSuNnLyJnQ)>1LT`#Z7pZIBA7=r{G_ZkC1BKmBj!O%mj)wA}`m5H-@^
zUB#?$mq&MJ)tYR1X_DM!y=Y@DgKWNa^ZW~jA_l@9`Xt|wA=|$?{x+G`B)6m8*2efL
z;VQ?N)tepi#5_m)B1fPOIcNM}F76K<Cz-8J!)_^(xa2zK5;lDzsKSx#{z(O+ikH`h
z+0u#UT(-E#S_6_e;e3o+Ume?*hyStprA&Or`A6+@49O9V{4*&N8t^$Wp?vM0Drx7B
zPbwQWB4(yv8Y(Syz<X-LqvQm2l3ATN6t8GZVh%;9UOK&?hi9j@^zGLm)x?;Gu4h6j
z2UFwPD-4ll?qBtAy%y>061G(1G9}lXtLAR08KZT@{L>3sI>bS9&(4C2rlh=>{XN$^
zQ!xB+!FWKI48M0Z&3|M{ylce!V((cX%dlgQs--@W{G8~#Ce)PBtrgkE7koKg%wv;C
zuRgK8`pxzA9TU<r?fb3V17NK9eniB}fLJGUmmBXhCRJLqVQepKvFnvp%KZ`p!Yqq3
zyHH?6%GP{(GALn>pz?wTd!88(!2rjUiNg!$(*o08#>+7Dv3Iw5rU9|IouxJ1qeD(@
zA3Yu_;ea`TC7=DQ49I8V^|p2&gA^;>zspzd059L=&x<nkN$q^zM9L>RnGx}bZQ)#w
z1e+%k71#8LE%o2I?4LC9baR)Xh4^xW=<@$}bb$kxw1w~G`6@)XFEW=M7<9mZ)PVIq
zUoCRwY0epr>UrvfchuR^SO@$kzr``)FN2UVqa(I&Zd1!lmtFGXall#^nQa1x)X49U
z1NOX;Q!Jj;xQL3q%Mh+9xIDREne-^e%D&mlg`&N}{)W%&5&!M{?z-(t#9WV3JnkR>
zsWz)`Aq(8-l^B)m(<w(N2Tm_TJ`pIqe{-%czzzZTU%o!9FHO!IK%j|?7#_*Vo@uMK
zg<^UCiu@)ql9kjzn?Ej&69`fnR<T9CUKOpbT8Pa3{W!hcT>{jMUuQxB5NKl()IG~f
zel1#g;QK2H#Pyhk>Tv*G{H#A8)fW?8A%3ffNeQg-PjIv4WMRTCP0e|Dn(B`2-g@|#
z1fIAbPP`{(gR3PR2R??6P^z+>KDiANs5{Hga5c7u9X%=By|s-p?q1T`dszZn%ev{O
zeXLOT;v284Q7h{o`}OY?+a$1$o@ZH?V+pM{#|=gw46=9*mOcNZApxt91HrdPEl?w7
z*K+Xk7%SAr<<4R@33Oae&|l<Wfzhsv@LggvEWwkfMi=*sqpGO7p)A)NCm#6|{*ieW
zPtk<-zE9%t57~CCSI`{cb~jXyTxG{Ui#m>%qvEJJs+rgyX$F|Ja!PY^qFtac<F&X1
zYWEBzG3QM2=lT=<B5*_IMW0U91__u>mUQnvX^L=;Ftws}ycjJq*kV*7fz6e%r&scu
z!ngdk?{fz}6c3o3EvHLD*Yi$hNrnkjcp0+;N=p$uvTRpCsU)(c4fM{NE##x3A`a_O
z0c_eD&+zq-!rMoJdE*_%aLm$}%=Qq%=&lbdF4LqT(sF(gSClcdTT{gX&4j^oGd#NW
zk2I`uPy0<98DnR$14~6(1TpJQG`}6DLG)q_Q+kAn{7)(Qvj0TTom;<l&8!Tn+%`Bp
zxy^(}SZHEkzbHzRmnzn)$YH;caQe<8OpGTL$B(}iL$qmTbfJ$t`WyU7*ndp8pS!c!
zp+y`?`9I9nY7`)oH0PhK#YEy)f!#H)CD6uy^wE_RMa)>PN(vTZf~7uQ5%xtAZ};rf
zyyu~WQQ-*7Y#t^os?<Mi|0jh$Hh%GQDs)(X4B0!pP!DFe%KocDLuA9g!+)men5$27
zr%5m&viY2I`bHT9FBfx)eWMInl_~8ReI}aJT_c(4vM^}jYK^K?L0C}e=}nuMh>o;5
zxNS%dTYqwiKTK7{n(w=QvnMf;8yl3g++G3cD#vzT30Fh*%F3w1E+*=QvaH%%6&DtP
zTF$pa9gZ61e8Ws*cufpZZcCI<p}Fh9DQgCl&Eo~kGL3P$WHN%|sS>h3MIN6N)WG|&
ztm98<Ca~N6Pj_bo9p6_;ZT<9G182)#Ts@j^f^ZW%?OPVg`24EdX5A@Ghz=(Y^e!_+
z$g%f1Psfyzs;dzsE31Y6RpyH%f1ARUu~@|UrV6el7Ewc&v|!~_b||md4E6dK#1l5C
zLeazH!Lea26lo2vNIGN=Uq?;PqA6A6PFl+j)3ot=*tXnZ#X^quVRyZFUJZ{jS5{2P
zYUB9U6*1=(EMZ)kxJO1z9bPiDZ>~SIP<U_9tzyO!87CPsM$zi{a>vzdEI|vF{f{3<
zzp=vK;tL(apVh&A?|`Z6oF@F3Wk&Hgt-+FgRa>OOfOh7gxSN)mNcUP@s(ru)Qv<Jc
zoLv|wJZ+aW;j95$;oh7+Z5BGp&%5ipGqCqduJpV<17b9B+SxZORC1YGA6dpg<?l^B
za^q?^-2J8fks+}1#fPSOQ3jUm%X9mYu8N^80knPlfZ4wn&-vD=LptccRm1u!P^paJ
zce@IFb*hMy+NutdeGKKF59#O=bG7;T5I88&C9B`5hP!K1pI195VfFb(+y;$6|MR>M
zU#LMQe#AnkSOEvt`Q8s}0m2H-zWAM}ir?w>ODw+2q6X(~U#$b=^LwvsZdZZ8(0M!E
zbu_Gzd>oTi3cM_9yuXo81%K6^g@t~X#P7MaO05gJs<<^Or`Svx%RasR)b~gnp}tO)
z$v(h=b64)ndD8L0k-hX<qbO1Zqm?%s0hb0FIH?#VJpUIJw@+3CjTWwZr6*We>FiW1
zUaE+tls}hZp%AQR1{7yPSy)xy8=rMw0mXw-J8Omn(0MxS`qOb6cpmRIt5B4O;r!}J
zmoa{%8Jiep1=v9M@|x{|sj^5CJt_x(K19q+Chq=Vjm6#*t~7NS-0XIdowi$o7E1^J
znw8f0UGnmsb%QjX^*@jg3E>5@<D^FKTj799if&b`6t<)q8`b~g0h_Ntr5M8s<ShUG
z=ADv=G}=|>-^c?8j*eNW%a*A6RTH_~LjvByn??3_^T7GI@tM2amRK_9=6%3V9J6PR
zDLmKszm7h*ar&qQ3V6G}tx6Vy&+WiuqXJ$$i#>Ik{iiwJ%xCK)c8NkpmoD$?z62xg
zei=!A<_OMPVo_r)3KQFx2Ge?cP<o)RkkDs_b&9@C`VT~4*>~pFHa&hkK*1H3w;2>U
zbQT+|5kXNKZ&KH~rFg=V{CQx&6v<8{UuWio!8g*>x&Mj)=4MOX>jF(7-x*1J`Ais>
zQ*;hC%?W~A{8pOetO=q_eF{G02t%1J_a^O$5aQe~f0T+hLDA|{w5Th>*mu4y@7^V0
z%=mN-@+zC4?#&GWnT7r#w%wOHLPel8lm11w#u(mivqvOrg^_rc(crvC6y@%Zf3$8h
z#?K{Za~DksBYtC|^3fnM6t^FKxQx>nUn<7Mj@pXAW>ItSuhZfPxZ5}Sxr~V#Pfb6w
zOc4ZxjpeQ^mRPW}stf@iCSDXOI4%(u#m@K1_L>8d;AyQbu~cBf+TUVVYl<j}CR)uk
znbIi1D!qXoBRCa?#-Gp^!#06!$KNH>aAM$c%C$lxh<k3Rmh2XTPC4{4d1cYEa^l;}
zaU=W)$S}#w6o<yYslQaB95!zoyK&3I2;ISlLX-|kV9i-x3p0HM-2R=4y*5Vh?ic9K
z*(QmE*uPEhgA`FNX0Td7&j{|%^|j@<Na5GNdKqI^CA?I6|8B3A5kdlI_=EOJW4iN#
zTf7Y&MLB#gjxdc-zWq?fhC~_$wf%;N4V3YLJ)WVx(g@}qXWBN_%izhj_X_h`Dj@MX
zRCJILC^!98&&A~Me$%k>yrwEXE-$Y>murL>&E&$%LGloszPj$Fwi;%IEk!K88$sPg
z-)F}M1)LK)l&r3+4!u=Yf}wUy+$gmVr{7XUX2Ec%pf&>~mb(80ikRr%6f!@&R|$sg
zn|`gKYarvyu9RekF|q=OlLU<EP_b$du;kZ-iT`|vdzCQ;_qLrXoui{<`fuo|K23Oh
z>k@R_Y=VrXY)RK&DB}*d;GrG4T3ET1pSMTI6n&Q;zjM8y0<Y&b(glv%h>c{m^S(EQ
zi}(uWr*#XyaACs*z8Bii>L^WLQeuXyQLAHlm#SfP@0YQSays~TGA?+3k~u8LGn+R&
zRKs8K5wmVP9Xzc5VJR4CfnrnT651wp91|(vqKtIF^(ZlD=CCDF^IkP)eN{){n9fGO
zVQm=P8|k>d*9u=P47eOOF+gZ`OMV1sLw57=S3f+hVaugiU3Q0oW=oIVJ4>|Stz`Bx
zY^4p9r9wMLeld{3zW*UtwI)*ZSYmJ0S$OaBwIFZ7N6QZ%`sZ;;0|oc&Rcd}N_(JpC
zjTQVFD4cy-JY~zkffQEw<2AsC`HfaG0}T8WO38JtSA%I`)J27K;3%OCwq!AINb?(A
z&rB5}`a7g}-vS8=+MZ_S3}{N<77$HQ#tU_h`s-}Am>kdD{Ip`hNA6^H+#FRxQQV$m
zc{E!HSPpZ47E#9w4Z#ux7eyEtUzOaoz|S3Q+^@tpslk8NUfLy44$a|3e@o<T;W1(&
zxielBO&P}&cn{F9cd{n!!4g}5c_&7=Oa(&j=d?+YBt%q}O>lk#Hjf&Xo_wi{+3W2i
z%NgQ0_q$@Rbq!E$GNr`UMaL{x=x(WRB2a3Ho|HKY6pzT6Weq98WQG3A8{<N_o=SVL
z-UTQSH`P*@R)l$k5>IS`0GL}emYrOXX*sFb!DfC%Jn;3ta`FiuPFx}aTBle@2o%ee
zUoDSaU5Zz4ALU)(jREKKQ5(>rSB*womWBO>K;4Mj+?cpj<X*qt2JJ5GA20u*VR@8r
zx}hr<w7e%hoU5$i`}h2Jw?Juljf;vWZ{-9-)^K?x%^Ja1dWt_TmV$lC=6~m&aG+4@
z-yZugE9}X3dYxP;ffbVM-!6o3;N0sEnj<}yNOq`HTCt#CVS2&i0|z+3Pra-?wA>PQ
z4l%8k!D5&_vT@+UEe<>$zL|FDwgrw|ndMm%AqsMTt7too6ZJc;Z{I0xfwQJxGXx4m
z(2?4#>wcdTN5Z{0uEv<-)Y_SA&wdD_ZJqBJXCxOax)Xx@r_FHiqP~6VI$@;#klmIT
z#En<$eEE0+%@F={n^$s+5a!2?^KPEx!P*;@Hn#>%F|HZFy6Y!|@-w0Ko#nhp@5zum
zxyuv<>MIw`NejX7LD#)#c0NebLpN0pn&5+zbl*UoAe==f9G?dAqtQ|SPH><J5@qOd
zJI)A#p=appG_w?mPj%*pW{hE(6uzwPupm4#oiyCD1#zi~Ip`E;3~tvWj`<e^F(Hu^
zzV40?th{4m>lKZm<hx0(`Hdj-`lqYa@`cfDd~~GXArqfPL)_^~LO8K{JI}U45mY>^
z57phm#O;`O25NhRuz!33H)=!?*Kut3O?D;%%T+6kUJ0RqvRk*~s~A*!mTw6zF+v(u
zk;AYNhNXeOyNH4Wq<f>DPkI@FS;@^Y_f#0n=U%QK_ei3>U9_-B&IqycwacDu7eRGk
zM!>yhDJ=K*SCQ^91V3L!?hOG^c-3#JKj}zAhvFWYw}pl<)t<_2YZXP(UmNSc?_?m{
zzNs!D+z^9n27E6Rh@oqV(tjo4a@gsfBgDPM5SE$6AL%LLNGX4O@QalK2KXY1M3xys
zcW?Q{`h`3xkUV+F`m7=@t*y?>G&O|v#<j2S-<AZuX8GF#5lYy5?mz3Yg*u1%dLiB}
zDfq@DJverPj;KoIg6$55NLg}FwLq4J)jp^Cz2lT|=!5)`_8o?}eqZjWYp@Is1|2c2
z&rks;PYch=^M-iF`?)!!TNeE<qdA{cslu)I*}3^whG4(-sabuiJRJArbH8}2hA5k#
zbUj%kNJ>g3vyCdCJ#cVo!Gt<g0$Vn4o-jf@+qsQrpDRMLa@W!Q!Wy80B$MN&jPUz+
zT4!H|5^S8u_;#pjBHx4dUs5y^vTIgo1RSH|!rliK16o=TQ<J`zu4%k*zk+h^&C2L(
zN%(t9UK{0G&Ofi{Gse|vKORfV1umUZ5-9kijgg;PS2x}<fn&@%v8B?g(3n+fa4*t9
z#f!kujaN)jwktqc?3XGGsI168rn<OFQwS?LZ-(!^w_?L6H4MI7bfo{HE;eYzn*=4B
z<H_HeLy9NVp=+htpje@cI?u4y>Rby5ZFL?=(`CTVAi|~kk}j$`tB0OHvc&u0YxYO#
z7%)yh$a~aS7q?WRwST;|0_u2rcG+v7xY2jQ>4FY?<pQmTzgc6&exDyc*EMjd@SXPE
zJZ<QIaoQ(4W`i&Z3*IFkH88SYgr<C43-5VPn05`apz!!^Ug?+y&cF41-Y%gD8vo12
zF)v^`Po$`<R|ApCt39eB7?^(=*X;cS$k@*j7Fo2A-|q2De|)Tl{1KJbOG35_ycB8i
ze3b^q(!V`x9a2H&{Uj9u7h8O&3ann;z(B^t$k(SF3tT^F=OuN}7S2*1o!A%*=)7L4
zU8$gi=!iyvCueLif1voxO&@hQm#7x4jF(5=4z}9*SX*>z7b-QLRfBo$)1~v=G9ZB~
z45E+O;+*z;lm9|q?K6&#aUznqlCxu|a*Hh@Uv{>YrK;dVYKD3E6EV=U)D1oLZ4vcr
z*y>G!GA`0@l%13i!LGd*U)`Jn99;XfUo8A@#zfSt{Ru&Ae)5G`au3ky#XaTyN@%H&
zW3G!>;Q!yc7Y+t4yo2?Ym^p7nG%WGlEvL!@Uw+<~FO?R2<klA<LM?DnMZoi&ew+wN
z(EAsg#e&hD?v}upvN(0ixmwtIF`W7v2Tx4dAb+CUyXHF$px>-Nd}$H<jb?|7|Fgjf
zTd~Cp=8LyGW?$OxWP`ZhC*7{=)`&RxIxi|l66X3de>3&xS^ugts{{X7At1d!z<^T%
zlCCCK)~uRi$)0?FCc?!ExyNdAwQh((yL8QmZmv1j{{R30|Njh^cRZC36vnM<@4d3;
z<>Fq~9`CV<P$VM?Nw$cTj7m}=NeZQmev*-qRrJ0sL`HT<DYD7l{QQ6Zcs}Rzob!Di
zsn(BPgZVlzbP^X?c7_Wc?DaA#8}A`$iRYFDD0Cp0wLtB%DJSH*aLQ~i?I8nX$Jr7$
zZCG~Kwfteu0d#XJ`GJ%aaHE}&{uk2%7kcrNe|*_N@0+^Yp-KwCg;6^0%4k8^z>oUR
z4s7s={;3_yElM~_XO=B=PZP||t(s&wSz)e1#(pE33WnB)Oi%A?z?#HOf*y_q()JJa
zm))a=+fnU(f6i-w!lxCNlLTf^QhrxQjnV*3jq;nflj`u{q=x4FO(xj5-Q1OlqXoj<
z=;j?ybvSX{{bd{{6C9%xJ~DcS4jy>AK*Jw3z{$(6{%v6dHjR`c)5G*2`@Q!J?>RO2
z+$<O^^okM4N`bu2fs8O*{$@makqpd#r85E>7-9R(#*?Fh%n+1sxyu?uhMm&1@8K(q
zAnYq}`s8mGSh1X$+2$aF!F#$Be0EIG_jQ>4bTb>=&W)TCd8rDf{Er}ZfC={ecz>8q
zutPbs&C5zNRk-5hNUapd49_+=hYPnk;M-C6Oo|y2)VKJPCyukg#aj%U1rl8FF0U)q
zF^vTFB~wmyM_3{Cr{mXWuH0~*k1kT!m;^Gf;vcQ}v4O2eL)%UX54Z>76dJaO(B|(g
zbl;I3reoiQOY!i5@6(g#8)}K5HEKRd&&B~o0moaz()htYAVvFiG!g#nor~%D&H<Z-
zS86o~f^a7AWV`hdBK&tGGbOf;6V!_D7T*3P1VOx4*zBZ<;Hn@Ilvm0H+vl8L9Dj8P
z^onAi<<JqKaZ%R4zm6OJ2y)vgXNrRJuhkD4t11w&3o+$GJRtXZY4cg97~H4iu2NZ0
z0Xc^U6II-Npe+!}$n#qq%)(gp8rM{yXh6mHuopjk)UvxZK_LnAkhE^Ya-g%Ewd;AC
z0Oats)C(#~fd@<CD3FOTwpMql{)iBWS8TqK_K*fiH;r(K03tjrPo9$-7lwMe3xt7Z
zGLT}LmYG;bgm<q4YB}$VK+@=^Lfvs$puDOTAs|Eo?W;W$^a^5NA;o+uQb8UjU7xtw
z-zP!-89z>HUUA4&Q^U|eJgi?#?9P=`1=)K}QZx(_5YRvSTdGh23ZG7@%eJY)MVC4w
zAu36Dwem8cq+1cDlcstfr;vfG7cbGdCkeXD<W;M`1o+jc$gUKq23MnW3wd{>!0Aiu
zVTJ)ENEKbMG4)c1o}yH3i#2I@tv}7C{ZtvG0-rK^UeEyUqzpBMDH*tVHVa$jSApKA
z28EN4G@<lP`1!RCS@@{jDXMCu0<}eKeUu$q@IE?=G5on4#Pl;p%vz{GI2V0)3Wp8^
zXkBDdIU^6}sgM3nlvjaC97~S2vo6SWve0DH;$ba!?Mfi33{OLb?Nf8~KuysoC*&p`
zzIx_m81^f{aoMnZ@1OeM#OAv_F^Y$<Opf?hj|otqWp0s$1Ni8X$IQ;D05sq1F1_VZ
zge;Eu`4h<iRaJc4qC5(KIrrdntnhHo4f`uiYXIh2-y{pB@SyJa(ck)r9JqKmMNIn`
zfM9J6Yr|bU+<znz9w#RQyVaymel-SA9@co4k^v9a_sfUt=Oy9Sy3%IIoB=csG56ka
zlm~&!`8x|`;^5q3`?!b65W<K%+;6YR!KIAz!Hjz%P~qM%@5W^aGyZPA3yHF@5*egd
z*LL9lx$3$KoFSyaM4LvG41E0~ByTan3-mE3+F8a8fOnPd@0OD^c-B5Z7+tu))GfS$
z?X>|k85C&b%S%Dw+XXRARd#rNEw?f@%m9XhSQSn#NkGM5r^)mrBlxC1xFn`%0L}=X
zKu4W8I9i{s)YYQ}!Td<htAhYHItxT`H^g9yV{S6jg$i<&7kB2a0Vwh-wWO7aK&@zS
za#Fw^5=&>Ha!M8;*{tJ_WuP#a2cOcVy0VGHV~bHUsR-oX9P6t!7ldM&tIggGt4N{B
zG{=6AKI|<AIIbJ<gXcu*>tv>71pjOJ?;fu{yoHG810KAP9k(lPXt0RTu!OAyIqN~`
z6`m_B1>7L%B&J`e^AB;qH#P46Oc#EdTpl>a!3F0P+e$2|7m%9eeC+L%4j`?<UfDSu
zaG$!M>J#-pq(qYa*r>V=SOoe-nV(>Xoq++lpeO$j928;11Z~*Ok{deX!3zJp=ih(3
zzlbmdu?mm;&;rOc3+;4ahBYcPPNlvjq|u;{Z(l<TzN#fUMLuMNGNs0K_7f|Je6@|m
zlXOiuGwPkt#=!t>!JiHHnbwf;_2i>9n;P)_hGsNh6CIeWvbc!Ots`E#Ic}!z8X$CP
zJffnK7K}gfu#T^6A}m6^UIuOIz;FDuL7)c*W>EueA4GSMKi(C7PxaJ+y5z>+T`3$~
zo<DB<+iwrKM;RsRRG|hLxJgO7JQ{e=)s+(BPXWK~Q&agWsKEm#QAZam8X%B675ghG
z;YT^U(YF_5c)wEJReXpBZi)yr39wLuv21*JDxM74J(H)^d1$~oN}jRk5)F98Q)*Y2
zsY1=1g{1+J2Fy$Sz1_EQFsEJn<FJk@xRgr2KOam3t2Ynr`lZo<Fl(KNR|^UL?5Ybk
zexm`u?b>xSGX{9_=h?298wofqNd^z>aX_zoX}X4&2}En&zsX%A0xI1Um$-q0VpRTq
z{Q-w<>@V!|r4b=xjksCdKnt8yVqwXAY!EnfN2gAm2pSK&ubSu6!C&|8-qr$k2p99#
zYaLO6@?D{Xy<&RsmX^q^9^ioQdWDQRi7H_7?&q=E0R}Lx?kn*W;{qeTwY?{x0zaFN
zkL1fSf#$`rq_?r$kdRg96TGGj-#rH?$l1(rh2c_5@iq^<c}yR^c1aludqY#%byy+K
zo=r^hJ|B4I#K`foC`0K#$IL_ucKDLwF}iIo04>yo>(=E;5JFbZR@h_*WV`Xjnurkm
z^>Kgac1{Vp<PB0T(Q^XDT8wuN?;)5Ydykuwm4I|uv_Dmu3*^GHKIjug;fPUofGeL8
z4BAknqy}-rQKybCT{U9RD@W~wa4Ug%zvRvMFFcU0Fs;BmB@TH$l2ua#B}h1_%y3$t
z58g)PS28F{f^ph{UWK<3+<kIl?pON(ca6HQ(Z@<buv0P7{Ie1$d0VT;MGC@(xn)4k
zA89Ds?2joqtPIzmC{()}3xl-(ohQ%iWx))8k4kPw8FrR~ESTj*;4Gyz?e`8j;BdIH
z!xf|gFT{_VsBw!y!m#PBRa-m+Q^Z-NY^i{V?E@7PF>x5wXcD*VQh+n@C#wo_iNGAb
zVWz1e0rc6ugmNna4E|z$qv3Pllb@V=%MOxo=-CZs?;0i0e&{7xWTOh)Iv(HiuSmh!
z?_^zi8Wl*D9!YL+AVVr6YF3^v4fYIUQ$86g@YZUoM=e?n#=-|3^IK$~@yQE0J02n=
zdkfym`lJr?_<%j7DOr#awl$dyCW48C?!>%|CMeaI=aIMMKvKG~%keo8IMh5E1D<Jt
z`@~M`?3z4qB*g}uDkj4DF^$m>ybc_F1G>Tkc-UQ?%^Zj&g1^|imZ*ANFh5JUdNy4F
zMl>499->5ebeoDI*h(MbOm65_;T54Y{Gr2q{DIEXH{Rnq5QsRUX;PZ32=(_@zn=<G
zhJkM)gGP@5*xfoq2@Q(y(NWtWC5!-b5Bxd1^$lPnGkd7ALJ=;1oHa9*QGid@=C_G0
z1~86C-5UZFLH9|w%-%yeus(Um<$|^$sJOO&U6@yZo(pH1>_??xRoZEjJIN4IqMO5n
zv=o5w{Xu}Npd=8_&V&lQHv~2X=UV2Yc<?w`!kptI256dx3tPV-6weMuk@e)kI6$X-
z_nZ*?m})N_?lc6ds03OvP7dB#ga{{IJmAz{jrZrv4dKGJxx7oc43HnSeCFKX0P4_3
zB)=<$;FxpZ@x#(!&3cV{dxZ&J2wr!sR5OIUEhneGeo4qz%aPG!#=+_HBk9Vc22gy*
zU4Y6%0#vMa>9P*~UP_V8x7ce3yw+}!^;r;uf%nS=eqUFR3aSO2L16<3>f_`}U=oG6
zs!v2?*=a;gtMTG&1;Dp^(%pe}!f<+6?ZXT*j9iJhlQ3!uAa3O9Q`R5=)t+r+C6`Y~
znBltpm)8h%YBslBw&6R-CF|qA5B-PsJ1Nz8{LqKZ%hXP4%sg<lYn(Q|tr1PQIqqf2
zpbx#7QC{dOCty7Pb+ScwqKn?+&M&p};6z=+a5*yvR34+VZLaA;Z)jF%k%M&MUjDSC
zehw=nK99fEUetwZl7C&Xc&P)Xj_qw(u}tvQgcmCq>O@V=NZM>O+Mpe3K>MST9x8k`
zUa@+&qGzU6(ykG;K{Y77?yfp5bb4+IvGadKZ)|pZ-Hg(LSDC%LZ>ecuxLa;$wX6c=
z8#*+-)UJ83d(&?cyi@?S9|Y>J$0OZ&zKZvyH6g6t&?NXA1$<LmzR2~m4r$7=qaa_^
z05OgGVxOmXk-oG1MMqvWBc(QT(z&DRaMbaULPyXx5<Wf=knYum)SaahFELezjl_H3
z&Nyr$r^+e4mEs2wfmiK{a%E}|t9!^h?ZG<IvSu4yQa*yHcbjKTA5sHu*?@Fe={4j`
z%&o4EA-|D*>-52nyJV;#)(VyGt{_{_&PTt#H;x4Ib(z=T$j}hbhr7nVg18>*;ZUue
zL<By%FI|sO1*3bMB27Wd2nUB%6n=UJsqEUY65b`j@2$q3vwKU(Ypvyke8mN1Rkv-+
zCz=GCbgEqp*b?G6r_tDIxQNL4jXidvCc*8&KyLQ(B}8zS_~F;?60-U^pmy*M5kv+Y
z>=W9TkVprL!)C23NU5V|`A<F~92wI$lI2}SC?rR+XkM)$lRGU#t_3O(-I&IK#4jW1
zg)fi#lx!frZRPn#v{fL8`C)3!p%uhK;KVk2>lQNEdhEsV9A$X;R9c&Ecm-(*I*~HQ
zyo(rq<?fm4QGz$5ViCgoRphvNpPFdIK2j4rrF@D_2_hH51&Z6&kigz2A$SH#NaE_K
zX|yH4_qTbRH>oxds3|dO2&RHB1$i;L8H(_4A@#Dp`zG>}t}$tSl^UF`THc(RRDda+
z(8>0hEu?sR@15ae9E?}rT*QF_m<nHPEz93QvODbXX5MsAdwsiPC>sy7)F~X_llPFs
zWB8VT&I}Ogu~7I0hldsikt07GC_r;>Fg!Gp30$o*v(3Wf;bumJNd7fSP^sGzvu-=+
z*?xQJ({pk_s{3+h`zsYJjxFi`hi3=%sOZDK!E#Wre&O_KO&Sn=Zca8zJm9#<h+o03
zENJ`r2BbFOK+lP^PhjPOk7cbamFcn|LSs~v7DWdNtU;OTmE3UKFG8<hR~9t1lZ=X8
z8NhjRKG!6g7fzM7E<9V5fiWBEIafa>D4VvLvkl>g8rpFCnQ9qW?rR)8_mTyikFymV
zP89^x<S!|+$ucmdNtQarcA)S1Cl`iMVQ4U3Y&5ze1H)XrYT9QxASgPoPsUvoq~A4&
z(qEGS<&(@$z7KK2#>JgFA4YNL%4Rhi$ddsRnysf+A>2^#I_Gv<v;;KX%sMkQE(6le
zZ1i^&c;QFo-J{H`QgHgjCL{L|Suk(!pL1d0hgJ=qsFs=ozWu!1Jv<@{;>XS<ky!-6
zb?^z&bXgY2cHyVOa^!$!vmk>-Qy6liQv2`Q%R|7G2EFnuc~B=jP9xkFfzX-%GW87<
zKqyhFb+QK!arZS7La&N}GrP&^vNi!Q^iS0XdqsHI%U~?sDGoWeR+BQdlwrFq=lPI?
z5~S}`hMrZH1gUU@TKj;r^1u7C#3fZAk$;OJ^sy8u-SV!UJh+o)6I&lo4<b<7Jlk~O
zk^$E@?O_rABp^4kg;0MZ!HBo0@%v<1c%n;V%1%^;u!^bMgdj4E@XYA`p_2!}dZ8b=
z?W)lGDDq6JwmKw@eVOwL$AeDz>W5G*GAu6rhfFGIf=$BH-PleAxV14up70`rCuf8K
z(MTI6e0L@FnFv6<M`@L5L53TWFITGkbU|v0WAC4!5{x}<epouJ3Mc4apJU6=hiDO1
zi?L-T5YR`xMTAtr2C2Ohe-fbd!nC#O9c5sZ{Fpt2BS9d(h<DS)0In;%KK`a(8Dd^K
z?1tp2K(f(`3|<36SogO)x!0u(w(|*POZx;EN&YWFmf8p=_Scms4)WtA22}w&M?7Sn
zQayYj%LuY@1}gYAB}jhI=$3X-2HZM4**0;;;HKGp*7h3#R2YrB3~x$6Vz0$;je#-T
zF4@yRevlKWqWR-|Tn|Bd@AlwhTVrUmPX0L0ssO>c{uDbRys)3kuTG(143yd7EKg6#
zLvZ3s%4udc$lQ3JJ+Wm3v6kM|uajiqtzcHgS8r-aJ(-G-@{FKr_qUwuf6_o|@w<Fx
zWC?L$n&s?MHv+BxWscufk}&C+p69Ro0clNaZ#S<u1SU(r8IdM&P*#^QVS&G>?Ymqy
zQ7uCld;ZhybfYM|<83M<<*uTa?vz{pEH{AaP$rrp31MKO-4#*F+(qFQ_5QBB0eqO=
zGFdO-2c2_!roUcOVlILd39ESk93jK0AA@*cQS@DHc`Y^epWwN5e{q2S8e|o-{W)Rr
z^re<$91bIV>#b`tMWE5yX-nq_8>lh(CboUVVdrLNJ8JFq;kBKrcdZU1xD&>xBY0`C
zQX|hJ6ajh=u&^WaH3tWrI8|9hh!(S@%={dAR~OF28A}^qriAjLujiYmaadj8Wxn@s
zb>J(>COq@XHd6P)l82Ci!xl=TdXPnJ_*+#dO?!|(j?K))C9C5w$&O5SM`dmJF`Jl{
zoHvJfnl|f|cF<stDoS|$!nA<=bJF$s#&6`q#0#P5KpJfQB@#ILK@+S9KZ7GDyAa)f
zx;c4*G+6)S3Z*KaCW!G*+6rIGMz(BNf6siU#?Cg!R7{-LfLYX|MK`YnO~=pGy(*)|
zr1`_CA9bmN!+!Rh2K5m7NXAM?K9?FZlv41W)l@&|5z<5Xm48sS%O-7a4(6X1dU8L`
zR|EB&$yE*KDbz!lj8`0?#*&KyWBhp3;MC)5Njb^$=+oMUut5bHEOP!ApTZq7?6sFV
zio9M#`|k}|j%LzeX+d|Ws}Hzb`6-gad~X>|G%32Nqlm-Y<k{sG;|_8=o7rfc@)|l6
z894Cc7Y<`~Y6)+lSB3bwx_3{GZlFiM*mHcXqs7ce8Lw*IBf*A4M|p_<7Rs*?$%n6{
z!xEzF?6pNmuyTj%mQ=zHdhyp=d5a(P*tC)3v;J2^*pWIFFIl{YM#x9=Rp1#hse<@J
z;-*AM4VtfS2%^AHAL~BFTqaE8?v?>@R0Z;iL;qb!qr^@M&S0NSSg^ng;+ll3DiD18
zs?((=Doo;KQ+_8O8>atrQ`}TW1?tl6zHBnlV5;eTZ5NW*F*JbAKJ0+k@(<aP1if$=
z@m<h|%@-WloU(6wIi)g`wVvGG>7~UIo2^F~esN+Z$S#R8Pzl-@n%;bNr^o0>x(>(5
z+*rNL%LK~_0thu+jn83X#O!H{SMv&ZuoN!RiGn}^aJq`fH1{!KzrT+6f7Ri`K6a@3
zoW>F0Qc0M4R3i)46Wvzva)}?~Iu&HQU#tjEzOR|Ej<8{7HOKjx+XXSporUzH-ikm+
zYut5~odc6kzMhiZA&fcMSp|ovD}tVR=3N>KPAtv+*75EQ5zNM-KdW0<5twPue2>cH
z!VE({NxMB4!(5N>ZI~QVgtvycgp;&9SiUT0-@<QkEG*XtN2#L-XSpQW>63Y}1*(U>
z6l#*#$-M`9FD@y<m$mAeY7##drkHkiK2r*_G%&BS`k@F9a78DrR|PPRANvjdTr!x+
zhV;@oUjih{_v|0(6T)zbgj&1DvKUji9rQ>mK`7BQ^m*?gtf!+E^CQV)oa4{rUUDnL
zvc8np?IlqxL}Y(i^&1{bi=?IF5K)0jhSs0CJmQ#ljpJ}Zh$41&F~h2`Qw5yty6#5l
zOJD_iMJ$YLN?4FLl}lhg5jt6%j#ZzR#7?d2GSoj-#%3<Q57x^f0e{-Z>!*sPu-R4)
zKfVMN?E1e4f3>Pr0aK~p&6$?Qyv9!G?GlI>9$!{@X_X9ATDlJkWo5C8J%1R}Yl)a{
z!bo-DiG#b7k&w!EmBZYPw`yiZNtkPH&GCxw8h~px<a%{O9=o=XyG?nLgsB;%#QKD5
zL1{y$xyB<r24zDLUS1^Zd<}y4l+l4Hz97!ML<P+BzFh3Q8VMVyKBT++Qy0jbU$Jx-
zMQkoNulCv(B9@-yLkM}O52>Ul^26JTn7`x-bchf!A})hxLKL7unI}8uECCa4aF6ZM
zP{Ga$Ut6mf2dKOrsPyCk0dtl$L-AxK%rP(iPhz?O7^b}(F}y**?){99-FU2k-K2G{
zs!=oqb<5!6{i+14?$xVE`}cBK-@`5Awmd_?t<&7G$yLNuV<Q*X>ZLI%@rv^zn}*=f
z^WThoj{+7`5N9J>D1lA>_u6_y!3eZxTbh(Q@E98wUi->a6l07@E#cHNf(7l7ko`<~
zOv`KU2XCAJMrxEeVykQfhS|T0<3J9pCf_yvsLYK~7mns1qcsAFzWu|tUt}=GvWTRC
zCRXe^zG3Hjqv1hs+SJ4$(wHHgO<d3^TFlw^S=p@%hM+?m+|=_@5>wRhQPg(dLuG~O
zBL8q3!q=+2(}Fw_nBn_ekw?Bus23Ag{qrIN7+e4OmH&nqHu%PHs>**96(WjD+v*yC
zD*jnTDWwR;KO5NneX9&@9<n*t@C6|I77sI7PzdYDoXA)a?nbb<y=`d+fS_+&Z-<@v
zv2m_X=9MD9k!u1$&2EhdP`-H4o7l{QNj$Pbme?l|<EBp*G-LV@IsAD><182EbBd(a
zK0JeL(LvEiT79_lC;h3C8V6Qwy?E7Qeh%SHs7gst)&qy1Z~F#(SuxerXS9X+^GIb0
zve)W%z%|{|eeYWtF}=?GIiaKTNYf)Ohw3yPh}>aq^t?rfWw42tt7y(4RVAS$?QhyZ
zNffb}%BI2Y*E!sBNS#5ntzMMLaccvW{f1-%Efv;s#5YnaX$r|UY?lI8Er?#L(60>J
zM>S{HN<@xKAg#JjE!B%PVQVakp2K$=m0gW$(wiScis!_rQ3_4qj$v|^A6ZBD%~REA
z<9{Pm!{z5woHaoE(O<QnpI1<UH9IOZsb5GwbGnmPojNFo+<BV8vxFwuPs;ng7()7w
zE)e#F)!_|m&{S940vgFjA(O4$kMtVJI*H#<16{unGo!c}G~%+V3D9>V^$8oetVJ?Z
zjXak8!aIp(+@S2gtI&?H^P_pX9%PVo^Cccr7)N{T#=Lc#8xdN|eaqoKRZu+7<q}fy
z8)bU?aAfr}ioD~u61TTeg?i2lH7Bxvp&q?invW(ckaYj4s;jLexI4c;AN2VLn#p?m
z#8`3`lI8a8s);2DrjiaZhE5HlgH6_t+vDz`=2p&r*V>72t|V9W^@9PlX6Ihs9ja1P
zq+!S7&~YM+41xQLx<1r;E^|>tpbkacBsg|QRN&r}K1y%ai>@UzoAP_UM{j5frZM=d
zz~{|lU$Tiks6|+Rvj|rsnqh)_<hY>>D(~y3IfJ^<V=*6o-6(27M`X6nJQYy}g?q;X
z->r3_Sjnm0LpmMkn~~EI?+z=$14|FM`o0Uj-hX$@X7U?)&9Wsf`3eE-N=4hUzI34(
zF8U45dOfI);mf~Mm5RWLW*tgm>_)T8yw2hB`_NrYm6YOt3h*jSRDCtJ8`Zr0E4xzi
zJBl#8+p8ogKyQI;ek8sJ?NYaU^Y`NrI(1}P^XDZzbR{kcy}|XO)pul-Z4*b(r<M^t
ztc~(85qfzS&)J85NbMF6{qPGF(U72#=97nith^6|Z2M91?0nB%=ijKrotP3_fE@7G
z4b0?V1L)DdzFv9mG1OM6{$_fUEch!q>^<-rM5U4$8giG$Q9cnPV^l^KwwR~M$p*uy
zTvGg?_x1#O&2069&utkvEPZWn<irR%c(X3=hw3!?wUXZc+LAP^)qa0t?eGhoB$Pe;
zku!@H9X4XzaFYg0`$sXya!1itim;9*%LR0Nb5*RNLkigTgl0Q9|DfwuJ1d8U7tyW0
zf0vq!rJyS(%z~k44DBQ!Z`W&<(1_*&O^$bx@S0R>SQYpe<!}k25Q|zt{ic><Gjt@u
zf6OO~&SMg7jky%;9lVC7dfU5uHAuj}$@l(mZ%v~Fj_M1u=^N-9XUC;jBMEqHB)u#$
zGm9qb-=%R_+d?VgsA?$M4|?6<v{kXh1ytQI;{5NlUDSFg)r#6x9Co!HPQ21uL~SBs
zQs3%QV5U|kk(K|%K!W1}+o7H%)Z%AK)<7>MR(0=0!{J+EP(MYV6r8bwHsT*1-_D@M
z9J0g!OF*>09Jpo0z?*|nOFelF_1S9O|Cofs9^;c$ey54T{{R30|Njh^c{G%57{-x(
zov~)kK6b-k>~oE!D1}I<q(zogk|eSeiWEt*l!O)uZA7a#EhG}sLbfFO5JF`A=C9|R
z_dMr5_j{h}zJB**LpjlYq-wTC%x2<^!$Th8`LE+_)q@I%h&i>fUS__AeL#9%UYeh1
z6*zjOXN>|<g^nF{e!f`ay;sO`+fzZ}oLFu}=R<j%!u01LcQ)eG@7m^)8zO|zp5BZz
zCi2kZ;3^*+XD6I@ePF+QfK2Rq8X{-+Ru1Zu1^ExER}lC7)f0P7#EA38>uz)%l!Kc#
zPoV8xE~2D;pNx&J1W}>!;&ca14(nf&uJ8NCLzH;8wn}Z5BKjV1{*D)uL$BPW>L43_
z;^BMymfmV<;tYS9yQribhB_SjKMV>Ie=>Q^v^UEUnx8Ij>txCyfsym_bgKx_$hIzX
zzsV}XDJvj5@roQ8q?37eC6I}sso0l6x=KWTwA2%(u{`2CT<iBbh!KM=%onr$%EbEP
zw|4W86>yLivN_3Ag6J;s(9<MTiTdXkKDSt}LgPU0Ai?U-J0sI3x>lX&bI-LM-lGVG
z$02hq#nQx1zj!0}|1=2Sq0+W?e<j@Fo==<5l_PQ`4vQW!)+XvTdj3&Ll@ZDF-QxI=
z0<j{Jaw9okm(W{z&3@Th6<jNtez}h*5)8eJi+4#>qWqSVnwO3`#3LKD55y=FXGEy6
zDxL<!3T{c;+&B%mGM|kXYN!&*^sMi>R}2Zyku|k%)@b9oh@Mu`pc?UPwY{Na2aRy;
zO?&QfMh^~&oFhGz6e6cQv#xj1h&Yg%k47y6bU)oFV0A{5$W6V?$elAL>Q@ZB`mm9P
zz4X~zHNM(J=e}{D!sjN$u+1Ok@F&LDaiaLdthz2CU3~GG5S>n}(Mmrzz10)~J?p0h
zKj;yqj|S{5UFpQ@{pX5KYFgm)#Sy1mH7X&PxWQL&(S+!CJ#u<X&>Ghl?TTGqQVGY(
ztoAT{6XL}a#@X0#pu;`oYJjN$!5g3~FEL<5aL<;c<hC<$k}rdOWwZg2tt}ZRuSz3M
zRXbCg#ca{oGnek4VnF<^il6>(fl5S<cjT{Dw!^%WoA1<i1EQ+jS@;uKm$-fV@FvS?
zJ3J$q3GSbx5^-ENr7ks72<@tRz0^c|oFNOfRBWRXt$sxcaz~U2-RI5)NiFu6+qopD
zuu7l!_KWZG_&FIu&*HBm@y#B5r%@q5)g{`(j%{e4AQ8r-8$U^R>~VK!BSVT^oA`dP
zX}I|j8$q_&by3XC9`qW+2U<5Y2>d3j^@^Kob}b~b9sX#C+84p~*@o)GwFZH5zqly|
zllk5)(b^6#<i>`2t5k?_?uk*dASX&99QT=AvW1D!($=4LN`%onGV^)90G=6|KFIiE
zgNL?%nl#?Y6YPouTOA8Y;1}7RQn1zr7X!lE9@tA0pJk~5Dc40I8_^t{aFdDJ3(QR~
zxg-evR0q-R?BZA&KI+*lz{K1S&vl)mWa5cy9siCFad<rI-O?QasOtOAtmxw>N<zPc
zK6Q~m)|lV$)@}xFT&!!=u;wH#)nuzbij{z`Z;PdKmo-czKiX457iy|Qn4BHa5*QY`
znNmJ#g^hOSVh&%Js3{s1rmov20scjYR1;w<G+J-@^uVg8rqc7__#qt$1eFI_##&i|
zWY>`-d!(G9QkH0P?yop(7ZW$BL|Q<mqT1$uZXcsMRfp5&l{id-6ZU<sHAmy&TJy)H
zV~jjGYjLs5;!r;IT|QjW9Cn7A+rlY-8H75I^p6wbn370d<_t4~ut&UL)|Yt(&#N;p
z9gm4)r0cm#Wrr!cRia%S;@FVRW32S`v^btLJ^9z`Xo^iknZ5@)IB<F?#ozC)IA&6d
z#(7`R!83Jwpq7&h#fxR`2EWCTDnE9onL$U~3AVv_ULKTbm@7!yOW;)M(B8kVP0*`p
zn@9W23$0I`MFo`-NREgq@NzSOoLWd(&NF^2TAgvxg(L=tE^PZfXpGNyVp5u-1)<a3
z)cpI0B*@RCWr=uW7+UaLWf}`3qx5_9ifdAsQ+Z`Lrf!Vig)>skzeEuKQPS>6^hzA(
zu6}=~#Rz@j+RuGIkl-1vxqHn)X>@MvU+<V;guI1aWg&OS&_2<ex+7Kw><$Ub5)30)
zWo16Fz90%b$cf9pDGT<!I&$$GMp&me&`=#GhK!s^`<h>JC>itVCN<MQ(wOMZ3>U}W
zgI^3i?G+HC^C^4dbsB1(3*7ZMB7qon+tkKKtB@@yU-UbXhSJ0*GWH3QC~D=Kku6e0
zq6YJK-a#7r?X+_bUXcR*p|5ILm=d105AkaU(s0o9R$uv>m7uFjj@Gy+W7NgTH)J0T
zMY$0NQx>JMYRW*AW}<?<n?xKp#nLde+$rT~D~t4x$DPttRMD@|OT5je;raHMovm4N
z;O^5OnUPdO-uEthg4KWI-z3HIIe8#rN2IK<Iu=Wwo>e0m;i8PV)kM%LoCs9&Q{$$9
z_Kv%veTNZDhb61B4k_XeXPx~0c?#I)*W{$WHbU&N$4@FvlyKfjKeFyW4X8U-IQLi>
z<D=qRo`gju{I(fRYkRMW!>vB$;;)S{A0QjJ?G5XHcC0y9QK$tk*|K9QJ4`UpUUGt&
zrh=08)D4Zk+9+xLAfGNmhsV}VwYE*FNK)e-R$8G0-sCs5t<7|JwMW16mQusF>Z!<#
zcpY%~6mA&2Vv1`g&U?Q9pa$XBB-fSSbZ~z<%5^Bp3?77=X-|wgI9(1r5arRubmP~n
z+jp6RN4ojAhyn$V&j|XJE$iUI%e(fut`=}Ra^L-Z2?dV?6UwY>b?~?T)?22HC7kzD
zzUC@vpn7)Q&`l>DXnF;uMp3O$+~gXd6RUya#?cRNT+zl4*Q3v*q^!ZCvFcDBp@Gw#
z#@>RDwIIBAXJga2HF#CRMl$;~VBa`OYAMu&SkN2hiE0M!kKT$n_)`NP=1yK;@X>%t
zLfhRsBS33)RMxh74X{}Y=I{Kgj`zlTnVfN~=bP(_4o=npKaQlEgsOpJkQE#G6gaS~
z;FGJRfpxc?rcQiQf$Ps(?(|<^`Ao*zS7j8`T1%UzGn7%-e8s<$iwU*?m+*863a-7%
zD0aK9h%+bc#4|;i*xtrYcJ)(7U0|I33ta^msYZ{JNlaYvU`l<ss)m8@3k*q9SvcR@
zARe&H;#$y6ZtX@@_#A7QvkqU0am!~9=K6rJQ+WaT!z!4J$!$%Ukbtg^h2OSEKw47i
zZQm6t*kTl@EqqrDv?C*2W~YF<2eh$JDP_dvz3%@~L5A{ez5t{3fS&2MfV0|4I1&`Y
z>CZ+&aqu?b?}9++i}z$MTSbrr#8>Mp3!x)EuX0Zs130AlE9Qj)>Lv~@ZLi~p)bqu6
zeT&v`bCfLg5|&47bW`%(L0%Zj`NZ${x5i@Q0j2a1S@7xjSV<n`fv?5HmfuZQNbIc7
zu^g5LVW)F?FoYXCt}?OXhE@<xor=01w-P4vZYx7yaY0t>%*w}EmJkv&aoc7n1tHFs
zxxIm0xcO4b%w^F6+e7NyJ=i7T5`f#b9$dJj<+<v_ZVPZ)QcD&_#qqVQz1i&q7p~>q
zm!E7hN08ewy7R0U*7p0-*nV=MX0=<9in%$KZ{D5yyGjfv6RC<XBDvunu|oUkEi=eH
zo3h=yTNIt`9?z64Sbp3vwqz$~hNBTm<BwjEF&K8ytx}m6vz1j{Z_k_Jl9R@LU68Re
z=*wkpJw9;g@4W&cQ)GTF#hZ4Pe@0VJ$9wam?_|Qi&J;S!AH2EK5=bDO6kO+jLjYY)
zX8G@g>Dc^_dOK$w2_O3Id@dph!L9Gt3+sy}*zV(VolA=Z^?0e4ciF;l{db?fN7)2z
z4gI{_t4LU{ubdUbIwvf>UBe$3!{rx8<A5d!+6k8r{bVQOibYLqv7<5Ty`}H-uO%Uj
zoYWvaMTUew>6_(%5j?ZpcxPfr;Fdob@a(TB{@5NUj5=uq?h|vH*VdEp+N~lglV2P=
zw}+NI)HQ-Y+7-<gYGm9RY79I^mB3BL<d3zTG-!TbJ50+WgHgK8#Vb$}8;T0P7o^c3
zwc!Lurkp4m)<=Aicqj#Z;nJP7bu^ecY4iQA6h+Ng)WUfwX{6j&{c%#529Ni@w6^XN
zgUvyUO_x(;&~|yfzHx^k{O)z73aE)g>*bMSUuET>o4w)nuW~~qu1&vdFfWd-V^zY>
zYUDu_6wB>CYsk`P_zCWx68IA;_$4HA6=K&sI2jRc2<gWrx=#lrv3K<Y-yYVS);exX
zCGBO^-(zKdcutBnI3W^IIZ9ASYDm`#HiUlE{=cTG(&!Og{c2B^G7QOk9KS>wqF1@4
zYhb4gHYF73T)m=#RrgdoEwT+!=SUe*dMJyJRH=UzWvV!NJ)A%OwIMc7j=yw}m&bP6
zb<sPuYLGtZ$Jx7rhTnO<#O5poBn~FjvURHCX0IP&-DxOR*drfIR)o!`(Yb?@6r8$H
zHF30>h6~ARYkzbrV#8C}auTm5*u7dWy`manVuRk%+WSfva^CbvU0e&l)@@0Zer^Qu
zl=vji6lDl!Ts&zistv1^VY_;Kjd3(2Jn8%%6}TNx<t8m?V~5;Yc|mCtNO<Rc8DpxV
z;A7qA&kZ`zl|D%2{%Hb*+dd(2GHRF&*Ed>wL>Jwow+a&9&@rpxGBG%!hQvoPl)wL2
z-?iP=MO2$&cbvFNK&3i@<ZisWv`!DL2G$m%)n@QK{l<Fg00j%X*hKUE^f2!-P%7}s
z96gnS|E*uCfg2h3%A;-caGNZkDbsF&_ymqY?Gg>#z7xdb->r*u0q#>dKP?fwaA;GY
zk|tiny`>b<b-^B_P<!}~6;7UV=e3B`gqh#Q*2N7vcpRGgY26=d{EhFC^}nYHd4r;?
zd5Sg!*03KTdKhTpDg5u~D^18n5nW&FHF5cRH(Q7|iwj{(?31kf3u|^8xSDH#)5GJL
z^+VwH_G4^*M>XMixO7tXlsb}KH1ciOnRt1wHz+|?6Ow^0^-fPzaa^G`P0pN&P2ER)
zRdO}3B&soWs$UsTx_-G+e3@9a_1_kmSqci*r&`kmmEia}$tU~}6ZEq25JfWz_LJlv
z<sWDH?&&qIufv##;Hr1b+M$m0qn(J7Wa+DjGiHk)tA4o#(<NLDmzh6mmwrltzp3HF
z;A$oc4zy^w98*QYiQ{|5m&Eay%C7D$%f!*N+wU(%sNk^QaQ}BdQDk1~3VZ$okh{2f
zdh~!Yg1Q2NlURO2%yTKqUkBEQzdc&JM+urT3TzRcf>?1^b<0j4U`A?r5AO~|SPSZ%
zaS`K#Z-Ot@v(~@rv%P(8uM{A+*<tO-9&X6~I=Q+rfq~s`9`9!BkV7bS|H^?ioY>r9
z&Gxs)8pqodWQ%!ZQ5)lF#=OOWuRf((OjBzl?f7}4!9^N3#3mVj(d-zUe(Sj}%?idr
zjC&(hQb^ECF8=V44ccAK3Ex<Hcu}@|slr+kmn;qr-*jL@z$;bu0){2b-~Alp`zelX
z&Qml|3LCmF&!0}owSa4W@@C_5F_0^-28OO-1CO>$u<5KhvVA&ImM@AT+@bJ5{8cu{
z{j}GS^)iQzwXf{^d@|xCL<fAd*wOx0F(v7l8Ol#y*!irE1edG}<ze0INY7pO^0^vI
z=P&l}s1hQf@ZUgCL=^{aZM{PuNjC*gyVV2XK4CbmjsNIyZw1=^ovJb7Foj!hP434o
zA;heFPX1WWiP%o%rpj<SIzER`%tVARkoQ=2ex3`fZx5FwkC}ifTaorQR1oJjQz{QT
z^1!L=99KiI2{NzR)S7Y&BBjZtr|K>*T=oi0rvElZU=(L!aGe0QXb-u5HQ>i7uBI!?
zVa71X`!0Q|LICd`Kr^;U06%SNpBS?l!%9bEYV@4|=DTHU>k@>}b>YpYt>=tz|Hhr!
z^@4)nPB%Vd>Lr32=YM(E)QoUCIs9&3m>`s_Z$9<7L4u;Tfv!D418>j97xJ7!h;R8*
zf9)<AlMkx)#`)5)A(ek*^J5{bcuXNxG>T%KIWwV%n+EbHhsSbR!k~X7{d_Yoh7lRX
zXx;~gC^)`65t}Olw~-rRIt&SjD88JO+G7Z7Yv;khog^?NoyAPEC82+M!~9xBLueJA
zIqWJxhHNSCW;*Xmj5O=X=zcdqb;^*Zdp#Lnyc0I>IVX)&?}%+ar3QHPI-U1Njwr0Z
zz02w|kj2gjhtSMe1Ki2-7LH@(7v6T^=?kNBIM#cuv|y_N)=!<3yu-?Y_bSdztF!ce
z;mZ8yU^@eZjCLIRn<|0Rb`yhR-inAD>bSB%H-M`8J%JBZk{J7X^NsxuC8Sc;+aEGD
zfRoGGOL;R=U~nDSbvsNM_dV^lh^#Sypv?`d+zry`dz0R|@q!9^Rfhj)`Wc|f{#$YV
zQyG}r>308lt_lUmoCd=S26!p<rLdbRhryVQ%cXzRP<FBV*{ya1<o?>ZQMZe=r(H_+
z`=djFOu@@)acx7q;*&jh^6V;fIEott1Zkl1eS!BxCX0^;ty|NI6*2cqxu)rcCW@*<
zjulAJAaiw0^U--FWZYYBAN-~T(X&(2uJ>q=K34f9HC`D8HhUYwxOH%jZo8>-ml2BU
zj)wnW`HU*x?_xbUT@*&8f4r=345mwVI#-A)Y<7I5^hxLe#EF`X;wFgPE5uXorv_Oc
zFXx>9^dLXySN0!?j-B5<#P~ea@r~#4%;Y(JnB>3k_fj#1%Cg@1N0t<rkA#V(F6*Ot
zDe}`12Q#$Yx$tsSTmv&kd#4&CsmRJ4O&N_c$JwXsK5<_)ut{fS*b_b~j<j!*p;lXf
zl>auLlBkKZWm~8jw^{Y;Iv?fzwS=joOz1sPEo9WG8qNICLm)*ZrApr#+mzqmbd1&l
zk98Qw*e_kYdMfZCY6}CKoMkLu6I#gGVZ43U1s$Y`8)c4~0=Kejt`2|If{B6Qy`g_v
z_$2MCm|qEOt|n0)zR?2xiK6KtHBH#R9kDp6$izCzhnLYOwLrB$(|Avn0;8i3rO8K_
zXkEI<LzdCPy)u!<t9aB9#1p5MQN_fr@x!y_@tUl@-5rL%DdX0a0~ua@Oi%_)R}8+<
zK!RoK+xALD+%R^zadV1^4TXlaJBBEj$`#+Z3-Tz(ft<^Km^iX#hf2<<I?kwXzG=ep
z-Q?88Sl%usw4Rr6CVf+bpz6MbxiVJn(7nB%{*Va~=|?eMEY6uOvkTVk5ygju{g)oc
zvFeoA%_*Eyfu1kXW6LRmv-@Y*Oc+d5=DS#&_f<y!!@mwDT>Pk;@8G9T0o+f$*8Mb4
zLO1_TGlwQF$QuP6mn;MnD--#Oc@@!qOukmYjRObP9`7Ak3z&2%4|%u9gR{L~-<7<~
zDByO#*wo9wwPeCrr9>8&dR<php3E_>T~3=7*I;1f8yB6!SEaEO&&*tkoniETiM&0!
z&l;V|`bV2s90?Dr=%2HgX2|<S-j}bi!oI5$LeYODuswS$;CkaE!}*Kc;eYd%aCOM&
zZ*djJwT#q4LD5MDe~WQo#A-|YTl3eR`AHO9zb}i0j{RXY#KgupT(AKD&IbzVv1BM2
zou0{GH^~@GP+QkCV9xTBOQ)8cNGSdL;rAkGit*tY_n9OMbDaA%VDutV7>TO+Q4zY+
z3_8hs{9vXTI6~4V&t4J4tALXm)}8;$Aj`?_shBiHUZmf53Wore9+s9rrp+=^JPRzh
zc$nf))L@=!As^Jomv~?E&N0M$rD6h~(QzgBUXpMWFACJAIotRb7=`U`ySp^#s2q#+
zJD$t~Bm1G9LB>mrKlQ7!E3-{dyZ&Y=8o0q6uAofXuwnGn>xkciCI}+=op3PchX1JO
zrb{d?2M&7fNlG-vt+Os#9iO;xY<TaXwgwK!UwRRDlEWC{iECdb<Z&Tb?%p~NZBB$K
z-4Ps*H-f$847>IjE=&ya75QA{LhIB#vxUzH8B+(7xC^+@mlzh8sm%l0s?TDU7ijQb
z&AIbd2N(3u-rcpLnHTZ(dsaBA(2%8XAi6~7MlE$=dc|3OB<r{Ft*kP{L*<sV)z#dH
z{J3=2B0vys+&tG>oDC7{9dkft3lEY5&yJ?<5=OGa4c_8W12`l|2Jcqn#ng3=UO^@a
z%jR)uU(Okz`^(ON?Yw-T%Qr4(>|*8UoMx9YGXuOPN+!;W@gql=(@XM_DAu;#VUHc6
zBEU9_-fSa)T%E_{t-r(|n72r-%A+D;vE54}OAx!f)7y+)Byi@Hh;XYH6(v0NpT^0;
zXuDUm9M&R<gxOKso$^$0=a)6#uMolg7N3iK`&Z(M{>Ke!t@;Rx|J<EHkPsL=B(JL_
zgD!FRk8V-=I3!UgkoA;|n7io@`#9zB^ofAKtf@X)c{@~nnnm#_T_DtnO#xmlhssm<
z_3=tVUTNr`7>3=wr|$|YLQXaH?$VSV);5fL>RPdKQ$K}kgPsy>nD;y7=k$;~q;x_w
zR}!|B@Ba<@DC56Z_O=6Z`WUn+Kjukh@m0I&{9?We-VRy*De~1vHu>lFq#|jgzbGq+
zA6JD}IjwW1ULU&m_^dl!WbtO}AKTgu>fla_e%Yr(McCEPy7JQU*jXkuqgzdZ=lthO
zXH%#!h@SCDnOA^R=&wdAO-;17z22L_VSqi_iDe#9EKV($uVm(FVQ<0Y&|HQAr0Y9G
zB@&cSrZ4VhDy)M7FF~#XrXdKC=RWH%D#OX)N7chHT~vgg>J|~AAyj~4ZTTG)1YVvP
zX{*zN<@2_uPBS!=IW11nnpDv?C-BQ;Q6C}qJNquP_99n-k*89_YPh!9-=Hvoih`A6
z4YnF4*dk!1S<gv9+~>-OXJb?-x4-CT1k>R#@@Hg(#UsZrew$9PbTjceE>h^NDI5jj
zrK2P?aj`$ilh|T_t2ZShBF)S}YK{`^TGoWXbid)UivhOxa8R=zT7aI}w~5-Mg$6Y~
zT|o&06bW5F{()|V`^TBZ+2PvQ79ppfbe#&eyUFpE53JGf=S%&yX>H81DLvc4LB)OJ
zJ_w5de+!6(r*=9Rnhw-<*s6zq?bP-+tX#9d>bmo}?K-gS=*$z|ssrU!&raW7$He2{
z1+PQ4I*`b&(%UPh1=s(st>5;RiO#|3Geu+Cu<6^Nd^VGU!;Kr7FX-5y@k?pTZa;10
zRUe_T&8lL@?T1;uhip(_pm=cVrWWpCe%F|bG8FgfuCdCq!Jfj|@QqJ3;qDki{S>qc
zRhy%(a^1GUe&)6Lp<)fRoxK>;cR&U_B%QFDD>mSX_)kIpFa@<+n#Eqcmq1uwq_azu
z4U7NoF`qTm(K7rpcla_Ho2UY(DRwp}mF%-4H>%=yPT{}N_X4o=mU{Hx0uvikBFsWq
z`FBD_%`w}b3+a{gBYL-(@K^rrGrOdOr>R~~2zEBqdGFI;Ix#Wyop{rJNf9#YXWgDF
z&oE-HWE=DS0w}$ljZp~-IMbk`JH<WDm=AE}ojwk*#}$2T7?DMz%hI0HD+U;+54Gt1
zTM49o`&%b?L>h+roiBRhzcO@`tlv|&GvGvQUFxSup+r=mb2RN8W777sRR39PY&w)j
zxN%6JhBGpszNVV-Jh;d3YK;{R^&Rt{;}Jt~S=;=@iCo5xs~=jAPFsR2clV?9W@NAt
z(aFa=m#w3kwyl<>TH>38aBGRS2!cH-+f3?W7~N@-YCjHGAp6{>HMORKz}43~bnLG)
zy!R!WE>)PL`pRO+!Haw-O!m;*ms8EisXhB-|FRi2baC!X0S~x(L*2#Kyk@+orUa`v
zn?cL%QfaUu7aotN8@tyuGxQ!b$}SX{V(4W-my!Pp3=nqL0*c!i0ZkA6TNddsoWGPd
z^_3l=DkFhUK6f(QX74*4-AYH$aW?;!L^jN6$7S+r_A!#~I;?D{F@bJ>VU11W6659L
zlt&&XelXhUB;(5z69^fEWiO5_Ft)7?^p^QE$T)hRPv>2RF-(Py<dpi&Ge$!9%2pm8
zW(a@ER5IZ-##P6s?LB&Pj7=@NRw6=UjE0q!>_mhSYZD5o9%BAu40#N^5#2VyD6t8O
zbDp4~npn>7&Yoptg~pLRFv;M3_mQW09}WM4lZ5m2W*LE*YrpjwPBWIbuD`DH+YsBm
zs_r%{%`h}HHEVn5GYs{dX*TarL$L1&vL(1?8J|82-douCk1_MZ%HL_u0O~vFdKWRv
z$lt7|>y<Rm*q9UiYa!79#dZ$SVr8?8b6LutV!kahY=&F116XrE<L+5g?D&t7_F#>+
zt`-{<z7aj=im9x<Jy<7DVvccijwAYVBs;2v{pX_?RBYDt^Wh}TGY0gfb9aB|!1A=X
z(cTJuY^k4YB+M2V{{sL3|Njh^cRZI}7>Dh>XR^bO-(L3Uxy>X+DMf^$l!hcLDU>2B
zqalP6X$Tc6o|9FnP!weq>9vxb?e*{Z+<%;NpL3t<ducfKlqY)gfOB(?<?RU?EJXe#
z2B$7#{R_6RhldY7Z8x=V(5FFhRc2wL$|~lg{vuYdo*%|-aTSdVRPg(GOXlox4iHil
zc-B@V2<9w7E|KpPIItSF?v^hnR6hQ^O|4QG&KEx688f87jRw0KjdNVEK1&_Ur$xbu
z(fY?RmkfI6GNrrAxFL9J9dckuK;t*gzD{W}{7cAZw+Qfp?&5^Mf21UoF}S|CUM0bo
ze`7Va=lS43D=}*FuN0KUW&W&NPXgg6+b69`0uaoriSLV$fzXuuw=GMEAZKGhG5aY9
zR_0u;j&wP|ZA;=!oQWXt_OeMri!l6|oBDo)cO3*;&{B5^6XD1^x((NuC=ibJglyqn
z4|_A}AH{ywfwQ4=hcBo|K*G+t3xQ-MNJ~z;LVBzNu^PWBuX{>@s}HX&^Slb&Z#JHp
z$kBms1D6|wa4Bf>DABEmRD)D3B}{a!ephheyZa_GP})_#V{@lE*tUw~lD_G{(a;rd
zYKJUDr+uuH-KqiFmvZ(-5{S@=%FVQ{$wTXzPiY-rHG%qEhodut2yeq2G`oTnU}wZ*
z(}Z9GoL}aqrJ9i7(#y$s-7|_1RJ?AHP1S)cOpul&Muw&4bV~RgWr%%seJ*~Q2)V7w
zHrnecFd5SFS?{kZ6i(^(H@+o9PwyR{C2uO|m~6Usl%@_0cTRruJ5-n!F)k{bp+Q{o
zzvQ~W4RGg!@<Zt}bl7P$a?<uN14_)WB(Jv`@R&!oB`l8t)(?X?PoHN(zL)O=FF^}p
z_?sOfLz%D*ms~ceVZjWcq{cCp02e-cT=Owz!Pr<zur^&6rp$Clvq!Zd)|hvut#hre
zSX+BtgC6AF)Z|*SCBn+Mi&K>o8(4abhKy(f7~YoXPrgQil7s4Z`mVE~`dDDtWiKPR
zv`JCCwUG>)4l`Gav)QoEN_(K(*#v$hibpneQQ)$u4Ue%W8{7&#qvxE>!1`rg`s3GB
zXzuzVwx^v1)CSeI6HXY|boftso}hu?E9r^*Tr6lc`(*Sq3m~H?I(Vv!2I}dB8oLG<
zaP#*f<4uG)Jape(=FUwAY;k+S6)`%v^tTaSSy{k!2)w4-LxUsRqUUml$nf+={pZ|4
z3n1*Uu_GU)f%V-0AHOp?kTLz8de+AhPRaGE*cDUZfY*qw*?*dF;MCIF>IzGcGCb_x
z@{j^GZc1mH9M$17F)+=$&k_#!E<CJ1N`{KOlZ8zsim=D_o^t&!OK2Y|Z`(3YgaG;H
zffw{-VVeKeC7C))2spzp*X*tX4i@L5JMW9Zj#{n)bkP!0vPR+<_XzOxf`>Zq4j%aL
zQQY==x+Q$WMTGczG~r8lvfjYNET*QdSt0Y*0z?}HDmf%HAh=OH+}-~N##rW4)Y@qQ
z*>}3nMOmwZVOPkJU#TDQA<iv@_dCqtv>(Q(6H$d#%~st4)nQ!!iZ}g~i#hn+`Hxz>
zw(lO(Dj^zu8b9+5|99dWz*yJ6s}j-c;HGIr!=U#(o^)Vf3vvYryA`42cu5vSu*+5J
zd6x07yw8mvR$)L>-JG|rMhZ&H6J(CLuHq8Jw<(N|8^QDA)!q+!5-@r3lX|B!2f7q}
zYe8VZ3|t2;#N^isgV`glV}V&5$jvId`6jO!C>3!$SBv9^Qt@hqe;FKT@4@4;KWV0r
ztNy&t_XRgp^Y48x?8AYazTTi@dYV8VDVlzK8wWH?o`?<*<v<PV1Rfs9FouJwXN^4~
z7BGYDA>?VRRb1ZNXtBD}2*UO}y^9IWV3n)72J`z?@OR@LN0^#MVCI&{9%77Ry;cId
zi^G<2ZSqAQi&KUm@>pFjss2CgptpqQ^ZX_J*k$bvQEv?(TIl_EbM+sX&C9r7dxjVB
zXVmE*S2PU3mP*KUF8++ITpZhE<hY2xc7B_|cR?Q}yK5z$`M$t@ZH_qoyK4b&z5n+4
z-61{j?NS-fu6=_0uaqvjq%Gi_m%0r#cIv^79i25Ub?<RGMg9)2&;?wtZ?4R?Ru_(x
zU>UmizTzL>1RkABSipOFelvdQ>q45!DePZ<4?fkJE0NH;fNvH$sQuwF8}#=j4xH!i
z$Ln9|$75R-@%h7s8Qml{{4=84en0&iFKqgfCNaB+({}9Kw^+o2-Q-e-hRPw_?=6)n
z_+<%C?^a9}rL*Ai$%U_#-J^KV^36imp=Erp;Wd5EawaUiHG3%d_b)DX$@X}N?kaxE
zXQ%XA3npwj6TVyM>;x{fJu^qnjRU#t^~>7xnE_+*yl?e+r*PpbE0)eCoJe<ZAK|eN
z1CCt}{}`D*jc0A1@o+TaLhaO`?J4tg2+i0ksl}efae22dw{~-*gy^$T9&|eBO4jPo
z`~TtR4<2xryTOAj%5&~_t<Cc}a$sh9(L7$SAuTkt#EZ7tRefZXQX$TQ&SR6fc23_9
zg!s$+NTaX7E_Iax`nNOb`l-wKEa7!<qnRLb^vd+wwu=J4FLUlVRlSOPgL`$YsxV5i
zs^3vlMuuS5LlQTHIFWk8>XtF4C|ZrYBz;(s44QV1zkIiGp}_c5JNXcCw0SG5;(I&^
zfP-0o_7OJ{7VgYsEJ~oRiv~rX1xVmyT<rFN#EV4A&duK5BZcPP*4FDK6QTV2%$|UE
ze5le=KB3~PG>YZ_7^<L2g!`%)>nq{~kj1fKrMX~P)cIdL_lJ5N;H9+`ONI!c)r<ec
zCpXHY<x6Kex`TAUWOXo2IY|T!?5tF?pedjzo~<?%BOM5OC4MRAix`RsO1u(ktB68Q
zoH6|)rUTbIn^1Lu1UhWXYr>nXjMQ#*OTAjqhEl>8kDVM+=-G(Ng^S#3Xg;q0@4Z!R
z_%wEy7#Ads6m=esX6;r-HxB~QR9y$2aI|c)6Ol!BFXsh6)NMf7yZchF9nb+kRS^~U
zS~+z1Y0huSEt+V<JtxYc_d4Koe@WaiYaQZsa}ui?(n8azgKy^DiEy#1xOnHS_2^Ms
zO0&alZM5@DPC8Sa1dicNobuI5sPM1C%UNF{Qk}C?4PEQM<Ye^ISYB0xY)uW$Tab}y
zgu<2_CkpiL%x!e4P(zuew9$SoDr(v)gXgwT!D>7~KYc|Vy}2k^GATqync~6rwm0c;
z00NF?I%%NMs@C_>rx@t&pM4o$zcC>FX`SDtr<%ybo}=}UGZTHc7@oG0TI1DFdzX_k
z0Y#Z@R#G9bQ1|;@4O%c8E+nw~DlcoJ(0A$k-M+C<Otp?MOF$0<gB}e_kLw^pEbqZy
zA2zzZCy&ukqYu>T*5htlNa%E=;j_PpjdU*x5KD3m;l$PILtCzr(eno{<h6gWQGIs#
z-TX{rQ0qty%PglL_w|2_PrhKIW~U|vr9x96c150!E~BFLT>dQ9W;S}FB=J7(*+ys<
zRNlKSjE3%7)#>}ivQYlTf8By>|G9L{QDZU}9R+s$bS?;IB32_U?yIdi=+r0*uUOF0
zl>qbN(?kYxe>BK+R<VE`b`$<213D^*&ykAJry`zT3&Hqj3&^@V)6DFmq3Mp!dY)P$
zvM<UmRrj<6PU)IPK{gHTpwu{rC=pP#;<)f)jU{~Sp0-;LRP^<?qWuNm4d}b_&WNxD
zOYrTPmg*CtAji$OIQ`R=QBrTX#{mH=5T#$;usw@}(mt)^EY!%M+`vqZ>~TwA6>2$5
za}kjdZ;PecWeJpQBRzL@jo165)jgzawbAC8h$H!Ye8}Pb^w6<`mLT@P_C!aB7V@6e
z-z_3GkBj`U4L-|Z33^eN{T}3Kpa^U82JRhwxLeS*n|I<ZAatNWspy?L0ugOaC1Mk1
zCo(n3C9%d?>4V#9=TuR+|3Y^4+z7UOa<SlZqB%&suRFBwoDx!fqZtzQaR%GiP_%Ei
zh&lATPxi+#6_7uRe<dV&5i4FQWX!~^^}jy$^))#;w9<5}NH}X1D=sL1<sbr3qkm#S
zhAoYrc6F@d(BOnL=BrJ;8!*_#8M)s!RswmDsJj$LI6<q_qpwMCBkcCYXVuvv$nIj%
zZ2l%L=y>(^^Wb(f@WwCgEvV;5kset3y`5YjmGIe(9c&6qS7f&r*K;Gv$^NDUA{V%}
zOZFYfHvzp98CEnZ2l8AFk-PPc6Gk_m+pFGX3|i~W>xGBsaqq97<{HQeV>o2Ctv81D
z(Fa1mNz=Gx+0E11e4McNeVoOzrx6UNV-Hgl#&EZ~;iDxtIDm8hgxb2thLH8g-gI&0
z7yd@b>g)+N2c+K-x%Yt65Wa5Wl=k}Y4L?{Bux@?DDrS7iFwSnT0TlEbIjpN`zzxMF
z^Af15*jF#j{InPPut)X_Sz_QiHYv-?4*Ix)@w2#}=&R~OMn}Hbj6@^m9dY-;-pm!O
zSmm7W&}BX7n<`TZ@^8li5A8Z0owb4)-BdsB|4$cQdEPO>1Abs4=M=X)w60)1c?FU;
zkLbd%bcI{|yI)vPxzoZGY!%ZkyK89F$A<ncvlF>3gIJ4XiE>H*DmL59d6>434Vx;f
z2VF8oF~1n)u{ci-uu7ovx%aT(b7Eu1JH>JA;JxQ}6Gk~;W%^5P@qQM_N5uGyc1~dQ
zFfYG?Yn&iA^<<m;2ot8tqfgeSO=0Jg`lM?;xS;U-Zc<z@6O6PfYWTO#V3d49<AN<W
z{52V`;SpfM8(Z0hWubqVdUHN2*NF!**AJD%W-?&>Z1Mc<wmFPA@~Oo(k{2=(IrTT_
zF<{fQbxc9=0(PjXpSQ7<50+TIsOk<K$c6HAcXF37)&jd{(^dg!+b%lsWPk=Q9`%10
zd9s2PIhDL+j|)O<^@EN388kqin@foP9PrF($-og82H%tC_LJBA^u}z1{roLX;OLYR
zE3FcR_X$PA5kD!gGbL3T>)`?u=uAdq;=uo(q1mV{1^ga9!P|{^U{I{BT7fJHw~A$*
zHD8k9xN=5jMF}sY4T@~%50`?Z;k&z54arcwA|p3#%MYRRRnl8WrD0?)cP6Tq1oF~O
zgRi&*;fC`bQ*wkXi0WPaH?)@oYCPYs9qJQ;aqHjY8MZu7O6)Qoa+BbUhGfa%5fN}a
z%KLyvLIDO7jTGWu5h3|wytT8sI9S}5Gbof%gbepYt<=jz_|E%i??|o0TE11~5Vlf=
z&c&A$y(2_06xRxMkd%U|6BQFOIjUgOswrdRO$6bg@SaCu(m)6*KdvUL4l(k>pT)z7
zP`@$!(+5sjXrBz(QFd|z>_~}Sa4jan2%}=x_Ch((Y#U5{IiLYMg7x17t>pyD^nKsL
z6YJp8a?41nzZTrfW<NEJBLTCaG<s;yda&g?LT-@Ih8JNjA4H7F(9DT#F7Z}^)9SsS
znrhd4SYZ=Cu1tZr`A>(YQdA)Q(|uycMG|-$MhILqp@K%(%_OgrYQWWhVe5(Q6xbE;
zvFQ0t8l=b}8^QbP@aAEChk+^$y35+q%vBjML+uoOHnstj3NLKFH$Vr6TI=ITo(YWV
zhiM-%O{i+=O*{C30U`7Ur>_{YV13kVP2~+O&>5JlC!{kW)ZF}UZxkCEZ{8+UO%q_m
zg<OhTvEWC&wQTyVE*$VP68O1Q2Q1_AH%xzGfuwxx?Yyh{AeiEj{Wp^cVlKT$gxG8t
z`?7Dm$iWcO+V!5rej~vzsSbPpwK?pt3iy*rG=_~|YaZ-dAVW9lj%n%^HXN4U&wEMM
z6!wJ4>BY}bfW;h$>z-mkfAgT{bH0sW>XGY1So6@v0v^d1PAsUXi<LAS!{FQb;6p#1
zXyDM~(i-5$go@k^l6~C(UFUu^eaxpp(SWsaCB^{4;br@%V)Hd$^;?oCp~0pRV|&*!
zDwJ?8=Uw);05J4wiU^>AylAUY##%1qBUu|y&RW28`aM`2q5_|q&r~T%8}268<<{)C
zgoO=0)Rgs9C?6x9dQiOP_jv~+ci*#wh6^2UFd+)ecxiXHnX17ABlghIHJ(c3y*Lu^
zngnDknfU5n1t^V7XML`;ggirYDOWop>`I_5dcT$iZbr(TKgpKBhnk($o@hg%s(FQC
zqzF)b68jXkTEh1V$zhEZEf7dnv7G(M1y^5}I*LqN0G0JSVC&lb3cc=U(htsH*Bz}+
zJ6^GXP5Z|puAJQf-=}u*a2)Q%z8N%>4a!@9k7qzp*lRTy-2LH+)$zA@=?A9>xomS#
zFu5w}uc-o<f`W>&&VTq_&j1%|b#t&fpzZT`cs=looAn&$oy4zJ$tp|S1&A~_e&Tnx
zJcJVkj;@r<;#W0#mYj6}bntnBJKVA`c}w<M{(tkhNwq!at9=-BeO)S7_K*U<>*c?5
z#};u_D^a`7QybwsIrJm+i$g?`V(?Y|W!yb7S)o7K3~qAiO}{@a3{i`(4euOT#@R9a
z@`UH6ARwotG#J1SEjK-$C2v~B>0*`MS^Xxk;pMc=moMC4vtTzN*RX^WwsW@&Dwsf1
zW9*ycHO{rhaFsmgTf%GJChrq*HiodI%8&%#Ma(?SS}0v(5pRBAuWgWF1S@<CxqB^V
zvENTSuIy(n;Bzs&E9(XffigS#GrM#GGyL=hGlF@%n`Ls;O5YG}{CBivaoY%Xm9zQ1
zuiG4c<%KbFN-zL9Dc(bZ+P|>h53;i;N&oO*vFCHcL;B#Bm~IksrxOeL`i*Bx?=1c`
zN64{ai$3_Di6H+z+=6}PML)8(&*DP5UE`-p^<blBO^b3(C6=h^9~m<=gLCfe((P5&
z1Jm0Oqgs3iUp$leW!wE3++&eYT$`W^4tI-x^8c>G6&n)?VJS0sVa`s<B&ROC$-17&
z`REg#z>$>0e{Tl=Hc|iDJd6$HkNJk4+H~OGa-p{H*9?B3$aW!dmIZBnf$x5J^x*P6
zw;ul4HjA&=RS{kWvEYTv2ai`meYi6D$)fMTEPjRF*!Ez735^Tug=f((yy({6uOABk
z;aTBQes)nz@R$5HQMvCwyyVx_BU~ACcz+ptC|Y!FeNpxs<L?ljM~Rd%dohona=!4+
zc8!lQZkczUhmYd(4kH91;YEDINEcTEjR6<JBh5J^|Kg%@8KixQOL%u|-HznTbfEO_
zrR01c$K(88TIJZR;JB8D+sF$VJPDaI)iRpI_m}tTxGHiW>*n;cq-iQ#dVRy!wQve=
z=%7k+F*(ts%V4~-E)^cchmgW4Gq}d&4;ib2T&Q=FL5w~_f$x9JUcY%ai$|aO_4`m2
zH@elt<J$6$4DDfQ-LV(u@JE>5Gae&eWYHU!bX1iLULNvA6t4yRdiKO3PZu9*yzyG%
zdN>KXE|Zwn-b?ra?Rn9n`vPb-#eF#MClTsUq;gKm3jR2Fk6Kc`5TfmWcWPl95xxzH
z^xq5NK&4_Cu@72Bkix{KXpJ?m^yz(D`n84=`N=QTI2nqg$rJg<>a27?H-qoaOA<GV
zqNm#^jY=SCG&_F3NgK+|of`I+@gPTU=@O=!6ms$)Q<@HFgH@hrny4oq;+Vm%$p4i_
zIzLD1J$bbu^u}uiU0ngRPBiXjR)H+a#jFpsJSBkL!hz!#*+NJsAXMVvWqITyzUA_l
zQv|T5NHq+2iJ;c@s4m@f1@zRX>TiS<0mdmOwjZt)LuWj-QdL?Mk@Dq02aHI7SQ*k0
zt;Z4w-MB!|HdR6P9c-5+O#-YwzP<VQIw>UL6~xzbObu-w^^8|BAplw)7^}#WMksfE
z%Ki>@bSOzyHunSp{2%O(S9Op@-#4aa)AwnhUd_TFwKoKqR1x}lO;sM9fAKTgd{q;f
zUaFAzZKDk%0~56^vI^+ns&H203j&h+7IpW}v^IGDk-IC)Rzz((M$uTJ4w4e{Z~xJ*
z1Icv<yrn~wQQLf4)yWVN68_O^&;5@GMo~SioL{QQpu%p|C4hqJ@cLr{u4K515jRzs
zs3T8POSvnjX~=C~YC@v`6(0YSIP~M%2DGA`^^tDMKpN^7ExrrUft|mL5yq*B=wlaB
zwGEi)IjQXC@iGPkao_8cU-KZ9O{ej18Z2~QB!$>1!2+Li9Ab+z1oUP5wy^#=77CY*
z?R}Zeh6k54herZ+(C)7AH)kKPQU9T;$1-kupx9LwzTpoM9c@`&9-!-@sq{z1n6&|P
zFJykU-$h1Z&Al!XVY;ZOV6c6+lM&bpelV!cqoBMmi)n=sy2ufWyxw-k1YVyij`;MB
zib!;V@lIV`loYc|AmWJ`Q2fTlqN`~rZ^|!4CY_B=Hi|0r_F{00OK;Q0({!|Bzkfo~
zZ5C3U^yMHd0w_z~sQK7WM=xJAna}NJB2rGj!ppzrP)^xBufxee`)_X)zMD)(yAHGk
zFzPJ8_)sNL;R78hpLzVDZk3GWB6**c`mcHA>8Tht&{302p=N=G4wAhptu*=95?qsn
zX!pEmD8A-DxiEqzl9dpSyNg+YimZ|^%YceRy6W+tOf{5q=Hu<_o>q|mUxE0GMl#a8
zx3T}{mvtzgcqDtLvlUdfWz@LokWliJp@esjByui&eB>m-3XF`J?w@kkK^HE>^&PY4
zM=z(X$d&Du;B|JtVM;Io4M~}Xo)DkM?RN2~?K!!Y6XGYX6-BSTKZT7=oL@WfVs+bb
z@`42{Z(lU^P1t}2Jq^NEta>r~bq|_0hgiVVN2xgt*=p#TRB^g{%oJAkdok<PxH(jt
z3BSP4DWg)QbFOkxOBi7%cW%HTb0FK^mHzxk0UfVY+?<rk2^z$823vapPG*~^-%gf8
zj>Eo2Pe-}I$;H3Y$`wH4VvFn7W725(<lg?VGrX{pDE5w6hJg;fJuGm|&%NFS6*?T{
zgS)$1&01e>geMl$?ol<u=+e#8DjEHJ;FP&7K&;se&b$9tpE$;cX7{DZ3Ul#8YZmcU
z`=}{=wmZ-joy>*Wjy{b}?Bj#$r#Zb_W!8B8-~G7XmdkiepnR6zEk1ajwc;FTV*)ZI
z*J>T~XK|ilu7LMue6Z)3lb3v?F}&@&ji)#L#rc@RTmc=t@M-<HqimfK{1S`)qZ{`N
zk8?P4*f@w6E`2=)O=3oHKYd__>%TU<Ewr}xi7GEt%~j78dm6%=sOZq|#R9y&xZTjD
zlLsOS{>~a!8o<&Wcz2by=AoucamB|xuyoqfdS2cDipD;SwIp<6Jk0Hy*|&J0y*Gj{
zC0rjy*ouwU9e-hGpPR#tdpwY0udwy$Z#^KznZy}d4`avbw&{p{;(_7EPami{>%oM9
zhJ`i$7ki<5)Hzm(7vgU8ROdA6!m_mE)=a-itYGM#pj8|%*qk5j6t~g^tNl(_T0c!=
z17T@eTNU}Buqt-Zp@t2FH~KqDl>T8Ylhu^`7CxB!R5P;GnhgWDK01HiHIKPkH=o}1
zfFJH&BQ&jkU;*U~aI3^DVne<TNl_04VB6@cK5rKmH0m7R)AMW@t08T<74}6C&IXQT
zUmRva-0_I9_R&?$QH8@2X$u26iXa|%o(b!4?pF*2PB{Ok<%Lwf2&8rYjj~r<<Mr`q
zLY2*$_gX7!pK=g`TxC33|0M(7AC>udB8nS0-dfkE%1FR({-^5>dNRP_B<J6xW*&&?
z+>!0RUJ`hu39ib*YxPEL3}+@Ege<1HM;J@N$zsJ)w_rNh)!C4yi}=AU?Wak2kTh&c
zaIRYTwU)~VLQ*m?K^R~)@y#{M0B7w734Tu+bbRV-JUb}_VaJnW?%B%0$m6FM?yTkY
z54zhzIvPYkbz{25rapPN@*^J8iKc?W<(oAlxERD6)+k)hRsdsrBRMjS3WqXh_D1+i
zz@l%z8=O;wr8h^;UK*vqsEdMp!8J*6?&H#`y{HVn?#J2=A_^S0^CSzmNx|M0mp^;T
zRACp*_@V7X3TR1TF$N?VaN6ose~3pNT5b=A3YAgd%r?!g+ZnPjFsmL&wcG%L)TQn}
z?G$i5YFC{^kO#iPp4CU`8sO5+?~tiN1!LwFCHdxc;G`1xS9DPmOtXqE5Ux;R&P^z2
zB5gfnoC_4JI!OSBYG&}VIt@00h~S|RB~Z(@JF@AYHuyYuW%T_=gOMel2<=c6Kxr|d
z>T8}{e4Q!r?k61r#dl7LZBYYX`nx&*wY-w&P`}GLjsZ6%bxdy`REKBOb!zR;DG+Ft
zu6WOa39fQ&PYV(@z$@B;f95tcQ1tyiIH<^iD6{Vk?Nu6ZXgcrp$67k<v{=+CmS+Pu
z&-WPdX-(Lkx0&zfRR&DN|8cF-*M+TqtJ`cT1nAJ@Rdk~;K_+jN^ddwLbc7GIU-Z%j
z(FPfg<@-$NNjN+AwNoE1OI-TbmaxX*o2kd7xLGjQRvZ)VW(Y5XuoCwoBJ6mUVIjg`
z0e(tfKybzg{6f#;3B@Fc%80a=BeCG<E@_J=StihzX=&z>PKKzHgNHwiFaccNStr?>
zfxGqQ&o7-Qz|J{VK7Eo2{{sL3|Nj)1cR1GX7srk4y+`)m&-2*(bBsz75mJN@Ul|Qj
zb}Azz8Y)soTC^#%&q0(?$w(y)o1~18`SbhhzOM7feXeug*LlCL*I$2ADTX<7uvK_u
zz0j`#ozxOFg&HadR^M&P-wbfi&uYrkR1?|`o``VIp}^2g)_gvL1)S-*UR<?D6GFAV
z|B7|hgr!))z^`{Kz~qLzY`d{0Z1(n%r;=&_kH->abS)u=&OfrOR|6z)C71lE40P#j
zOBwl=5M?~#Gi|N`ag=g4$2kSC36AQgo3I2r=D-Wb{!@n+n?~<n{U-~V;`DZ+!d7rX
z{f3jBry7jBNHnvRl!6uO`D|qwD{#aAx};T9L1k;0%HkzakUw(j;V7pSFx=4{sC=so
z>D#YJ_r?jpZH}$~34gbQrQZry{M?lwU+npxu|6(vNZe<=lxGS4WR|m6j{<}Y8Wa6P
zOmHjS){SMGB^;*mjRtI!hZp927D7g=#Khh+&5=JXKrw&MrhTL=D6K^Jb<Ru^y0fml
z3a2a}lJ{7vn6V6m%P}(VEFB>F4O#YV5wd{RJ%K;=o|FWSVX<Ov??yssl+Q2aCP4P%
zu0j4M;=o@N<kF_yMCL_YlAqNEXxZRL|B+1;A~$Z08e95IUU~mDRO&PVpRL@>Br=5H
z*L>04(b;}-VgBCh?qYN3-{s35Zy^98G5>XE`wXww>x_@JnSrdt$QvO=J}A7P{_cmy
zC>i&huK&w|DI|`4JQjYK8yIt|zewI6B_rtnJUOOr3XA8S80E~dgNn72(_6|YdGc~v
zUZ|f5xX!v3j&-v@%~EKx;@@GiLF=yA^CDv~JTu~ai=7FAf4K-Q(uPP=x{^oAV@B}w
zG4;m&a}2<L!2aU`?*Mu7U~O=st`Uf)J2UR~q=P%=xm6PYSwN=0Prs8_?VB~uCK`eh
zOLMKjz%oI5WaG$m;0yW4UiIC-UIX}39o@o{^p7a6SIC`p=ppY%^)RIv7{Fe+iwUAR
zbA$xL5JQB12U(r}<;22eeb7_-Wv3)KOGI(($x-laAwOQ)G{?K52R5CZJiTL6gw&0M
zAHmm<v<>kOx#q72jFfk6SNQ%Ap?_q)FJ3Dp!}LHTs7n_V4AuQ4n0^t*t4vNMg`Oim
z<lG){+^h?gxvz^O0>=r7peTK@_;O;`;}3jlH9FwDCO7llVwCXeX8C@}sDXHY<w{(;
zo(}8`nQ+ZY7$*2F+nX5=wGtjZd$%e+)rOW1W)DlrA!4CorYfxBJ>m5$Y#WEJHspzx
z8%S{s62={y8|-d%6VH?KDgr8K(7vy<{<h@+QSSaKJS+7RA*B26jV#b0g@y5aVNE|_
zc59Q|XlNgip&pba*Gh#egIBbdj`R~#b|I!!555ye`ihI3cT?en(uS>%y!(kCx23;%
zKk6sc#@S75x+#!J=F8V6^b<CRH|Bq-8zkubm=>2;w19K%s2p==Kk;(UfdlVHhl!Fd
zCF5cZEqI&o%wUVt03p`k)+4MwMz~y0JS@9!JrC@y?rm5dAm&!ac`)NAQS+f?$~jj9
zynkj;<GKflo{gqgmBc3rZR7W%O1<jf)8-j`^WzX9Kf>6)6!?eeJrsC3PDUM;;tiX4
zSx1P)hO?CgKc)yD8O`=>L2BSG-=DwcH%i<#5089xY=%(qcXf=fRt2n&{$w{bMm!)n
z1H!0(3B%>`5FS2N;A+2>bmZYrB9WXkSmc=}OxRTy=Yv!rH^yP~OyMu$$Df4F>>K|P
zBDKEyCT+^l(&H6r|MoZG@oe(?bJr!}_{@c|ews3LbgHFhZJZ*~y+fK)Uat^xH(YAz
z^OS(B@;=LXc$%0e%VaD~=s<J>4wP{z!9-JeQ_T1bQ6+H%Zak%j^Fb`4N~aZpW~j5K
zoc5QfE4^$oyMqyUa(8oP&?!RF^sXD#uJgoe-Zw%N5hf^I-s)~}N&%$u4!+&#_>YKc
zRmsj_X8}7FPmz<H3eb9z-Skxa60wgjL~4k_2KN#KL`Sd5LlmVyz<qdyu$2+5RZ8ao
zx;%PS20eLbb#1*^wTTY$XL^1PDR9HUb*D`k-Ez=vTYfI4iXIdf^u@VO@IuPAFrH)a
zazMRtuA$SJ5g<|jgAhMIyq+1T{GuZVF*SDr4~jCuRg?OkbFBhkfAjiP=~-DIX#~p-
zHWtutqS4zv7J_2&m7Iw>S?HhKHt<TF4L(qEtll<?0Q~{pH`{K=0-b2t(DBn8a9*^l
zeHWKFn7sB?eVic+EuP0}>_xfZ@poDBS(*g6G0zw9T#$uZORWP&5xnq4^D4syYiY24
z7ruS+p)9bPyM;(I@<W@=nf_~%vXFS5-!Ohm7PLDg?x&RtKp3|oi$<j!C@>U#e`YNQ
zut&~bDN_h0FXqg>J*oizS(}ymypn_EU|YY?OCoS*@k&VHP9^Bi`;caGTps!_@cUnQ
zB?fEkH`uEjRUjwnVa^{<1z33e#n3`U0<zuA?Z^-{sD3ncQGWe@WfxC1c~nTj?upK*
zm?903RrP#mKcxf(Mt-3^)iR(~+av5Up#>So3TsjxserEg*;O-bIrtWq(dBl73f4@Q
zg~i*{AUa0+&FNZsusxOisJw{=;)BJTI=5?r6$eExb&n!2J^Ye%Yd{;K62|g5q^V%K
zsxF_uK^abZNXhU2sRJ40O&y!}G`MGC;cQc`0`Q>u5$Ahd*gR63xAlb%I8|N@qVrRO
zm7LPY(}{ZUMe<%;(SRPD|CJe}$*ch<$Guej7xlnrhwJK~u_5SZPE8x0(}XzV?YoDi
z^nq&Ea;dw*7><0L^O*jl1+LeXZ@wAQgZ&ThR*P;o13~V7GZ}6wY)Xp|w%eo!qK9(l
zBl`(B>{#H$pFoA9Sr&%-jdVeykkn$QT0ki4souC2D#X>i^*Yt44dM>2a*tdrq0pf@
zb$XBrDwM%-)xT7@`&(Tg%Ebz*Zk|6e-$n(`fV|N!&osfBvj0_`f;FT%AJIOuet*(&
zz6u99Rj4o&wKcD?hLByR<yIT0AW{*eY2>E>fv-Z>x<ofYiF#LB(i1Jf&EIVW1Ee8e
zFq!p*$tH*r%o_;f(uA*KK5uOkgke(-|I;PaO<)~C*O{-P4o*cp^8qh8!Mr`8$nmE&
zIIJ!zd=pfKrQ*t^PZP^T+rf%ZhBMZnSF*Y&GoS=F&+)yEvhE<N{~6Wfa9V@Wk}liM
zA_Xv<bV!Nc@SALpwA#25X9a)v8gr)l%0bSygYTXsuaPU+`=c92Ea8se8l+HU;L+7`
ztEOot?3WUjW!P>B{by3|$jVAU@W<AtZRzZ&@R{9&`qToX0uJO(ii<*fRiJxf7Z(!W
z$SZ!57SQ|KgYSWhAb6)=nb^j}i|3kIOH$7Q3_9N^sr$eS{}EYYvgN#}x#y<M-3<T-
zjQDLEfCJ(j?lrdv@ZrzwmQ$OU3Aq3A+0HaSCJ5B!@C-NLLu0m>iEch~h<rZ2D^8FO
z<|!MsQ?&UIbl#`<s++;TB+H<c^K*p8;=d9`K|U<IQivOzOyP6I%x;76pTtN)3jfdu
zFB;EZ+xz6S30!*9p35}xkuch8+jrwRFOEkugI~QdP<;-czaw#r)Mf$m^i*E_rc~W0
z$8HR#b3Q!SdcKz&l?afx^XEm;e2urf?nYprbLV2l&r$MP@gaYC2VOi`dviIo%n(dB
z2kp*{oFWyIvPUg#cyX}yRYabUA<%1`-AUarN3yrp9bj?hMQVqSg?O9+uxFmuJEgKn
zK71V(tQpRWC7QoA<A3RcX6j<r&V?0nsF)#c=`JsNUCD8c_tl4I?`-?H>gkZ4rE<UD
z951?j)4V(QO%J}-ix#DZFyPCo)tz#C_;6fF>BU(eJ>c84Tce0+111|c>$i3DVZsl0
ziQu2QP(1qCw<VJa3(xQ484l#fAm)#AC!=&>%h=ETlY%U`;JcIIm#_dvz4_xm%%cmQ
z`QA@XUuMPhInBpjeF7M}QBbP7L<gRCyF_M7vSZ8Z+cpigf=FXsO47I2fk6eKfVL72
z+_&2-t++x6eS(?oZp>>#{H<@nk(;@2xtX5s+FN0qrq?yFzoQMjuuJIX6gO6h=h&}@
zIO6A0&xhXHAkBGbHOY+^6&tw9RPDu(;XzG?m8>?{D84-{Va<nIllFNJREXo0ZQR#_
zaT;*aHm&NK@#9K%Y}mJTJD6h8+7($#1FzV_^E)@K&m+uX>_04tQ=i>4&ganJY4anw
zFM9=1*NDp`;jT3D2;XFVf072yyY=ljQiRaiW=s2@mon)1yG%p(7!5MMm@v-16vk-j
ze@)&EviL7;G^Xb`4Kg_cAB78vV$VfgcJFs`xR8FeVk(6O3|i5h>QQ3o;TQF(cSIg<
z=Lv*%+@ZlQ>vHwL8F36c?by48LlM<v7J~Xd(O`4i^`eal5-8Cp^8B=c5|)R*3pgdI
z4N9l_R;uNsFmm$Xsm4HM<o?;Y(cq{y_;@Tw>-I=vxqf!~(d#N05m6`X*{==VM`c-j
z-^yTQi{~?$_o^7T#Xs59Uk9}6|FT9@$fDhq+#CCr)lhQ$KzuK~F5EsCASrW44v#+d
z%KIdyfr^feX=CNO&>mkFOU;!>OW(Wk26CFHm~dJ?`{a6_@A_OnnW2DkuF2P&xU^7D
zh~^d;pbzs~E%Jp<DB=;0zo}jwS{Qt1zpuEj0f^lU%j`O!gj4TU1}*=ipg{x|S74YS
z+&P}{^0Tcn9z1Ti#@Ix`*a#oXwTng|QQ3JgWTOg>gnd1`cYuP$IUT0^8jK;wv2!4`
zM+Iv-uC(}7Qc!-X^2_vs2`FW~ZxfGFMfZV#Fe57pzRlV?Awn^O$j0mDYOAVvY2m7H
zNt_m<#dOLMPje`=igKWOsiBRLm2OS2CblULO`FFPz+F?o?0QuV@$$8#pL`lPc0Kj@
zfHeSf%(;%LyK3lQeI}Y3p@yrajl+kk0Vbye86IS)VY^o8?Sh*s=%x|AVklz)Hl=#n
zAGWAr1#gE<^F1XbcBaye9<l)H<mr7DA5>9n+2vQ|Wd*c+afz3`)B^YiVwK%ZRk8Zz
z;WWBvIn0a|PZxi00pfx-!_BcOm?h!en(Zrt!;8buW4>F!Jt`}M!3||}b3x}{wGya&
zAYahC*8+as;Lm2grG(eEYS_L1BZ_NG{I!=FEFgtje2?H2MU0QOO4d0ngl@LG8u#W}
zfX;N3%g$&8oJ`>ho3-Uft#?oF=<K(E!Bw{R*IeZBKwo)cFdGjt+z~6fA#VYU84V&K
z8gl4oxyN||*zq3I^B=sQ0KyNviK^Nli!T|*cGMa&W3}JKUG>QTr7s)xo-|5hOt7Km
zz7Yn@-Y%tej|Si$Bs}!-q9nHOJ}Blu(BXCd$(6xJ1o(`18#c#mL<`=&l#TnA$%-Q{
zil-ONVJFLtVz!fFnEfXFzJT*T()mI2{t_#5;O~r){c&3aQ+(3Ot@P%}N1QWhWV#s~
z`pViL`9}yxNm=i%fxjff)4@C8J*H3|ZJWlrzVCqx4C6i)f5~N9;9P}*DV)81Du4DD
zKR!rt-%z0amz??4oTzuy1U_2a{;^ibhp!Bdtv|qDQoYM-hi9`fT)z2|J}8<OkExVy
zpAMTN-<)S`iI-jXR*#v}niJeeIcAj=etn*F`(XU1Io1fY?@TOM$aCQ$$Afc5eE&$f
z_*&N8Uk%~Lp0VGHS2$2g+~K=H-6FXu|COhyl_8uc-4h~Y%Z|4SlfN<CS|%GSy4|8n
z4dA6LPHoa*!|dJ9rQ$1BNsqqg=3?Ro&@_qFI~`fkYvtV2wrD!M#gerqlCBRwv@3<Q
z3RqBl;b8#%Lwc-GUo(kf&<Dp{$&_Vj7W5XVz4`Ai1D55LwpqvOf#wbuRBL6%nU75c
z|8{J^-7j`b$1m$b09V@2L;1{ji9SO612UmaqK}i|30?SoH;?)$j~PR+S|xqo%z|%>
z%X{Nlb>V!`pT7D!W;|cYzR)$uir+kc+z!2@18v-$uLsy!aEq;1V%s%#Jiae|OkP<B
zgq8g^*&JuV4TnO)sE0XGTSRQOsa6{nrD|B5*jQ19Z|TZIKW=o9sq;_Stqp$*I#i$4
zvSP3<qldT|FUoUTpDJ3Uf!KAf*r-cv_%gbrAatFBe}-qCc@?aC?m;Kx=}dMM+}rSL
zK8+v!KHhfcx2HkT-jh64k2o+bPN46<P66cpQBfvCPlHBTrlU{)a^j{ttpc&yLTD`N
zpvF*5g=!d+S@Y&b1yj+Ose8i6$B<EP8AAo}geR_ZGdyS?awjaxTolK|RJsy3QGrsn
zcQ4;ZUM!5bX7+qi3=54`M^Z$nP``adJg1cpJ;ra%$<}Vfy-piKw+~a`z55-FsBV7D
zl#ih;-IK((oO#>Io=~7N(Rf?#oB&FA(6&=6r7{0%jnv6(3aozcHt(mb@3U$~qvWg%
zhPLtRn_Z;9oX5X3xs$?p#E<US>P9(~&7+I0d_V!efFuK+NfFdaP)KUrDUYX*7Iuk_
zQJ}z2ky|BP4C_)gieqyWumi6@^OdK<uKG=MMS>fV>-^;xnUjk6X(imCaz7QSwp7VD
zzLP-j&4m+1+m*3(LFiC)Eft2P|MA2ZNui-ZQQ4s~6+G%0LMzgs!Rs=kh|w)FXwKrB
zohPM+?62l7N|)1M_jw;G*H&3fY_cG(CaL3@rSIFS+_V9+Bzbdo%HhY=GQ-#*4ZL>Y
zoY9P^4zxzkrTw>G9`h@`@>aFA@X*5Xp^iBn2<;>Hm#pVlY{M@4qx&hi@GHZuY+4t7
zX^nmOdR`IZQkz2QjHqb8Ln)n=Qy)TEGT)NxIqAQ-GAQI073p-fN<}OTz^Qw%cl#4%
zy#FQr+1M-<OAZqgO&NyZ=AWF=`%ndsxH1c#lA_@^$8@#eKSpqSal>QkRaJbnmd5r~
zl7?BrW<gb6CXmqNlYs$h_^c)4%=1Yq#_q~J-qB?WKRaGK%?hex=Bu5m2QsL5^>szv
ziOuF<Exjc#DMuachdwtqFHq2FcEqjp9sz21y9UOl)$xZQXVyx%7Ow3+7#<l7kUz=H
z@@SpY)CKQYl^hKWPtcow%xeMB)zfAp92!{imC?Tbs2Zjk)aw^!TEOQQ2Q<B3tD{D7
zgN3@73ie4YN`IfXfR(;`s~ryNnB{n(()<5>cvHDq-`Wxw&auYy-BiO}scPkctn#Qq
ztK0uF+!6xK9>4$8s)|EPE@kDhGDvZYuUtH12@~R~b{ASy(5}JvnWK;ddbr-Bge6+S
zSbf`C|7~S#^Q{wPi50;ulw+)q11+I%?r{wSDdC3~M?S`E6+qs`1HBzamJn6!^wL>E
z5w|g<ZV40M!F>!{He3B$=hVWVs*CmV7^EnemYK?m*FGe;A1Seb%%lX)89zBRjXGBt
zy2yYTSK=(M@3a8F+YEbdvdLl>)m`FN`7$|@M!9l-7Qo}@ixYD}(s(HIO4*#jU$W%Q
zp+WI10EZvBPal1e!2WsVP{HC!^7rFT_enK?iiq|mmtb*hHoLj+`~4xZ22DLrClj!*
zcjoz$v?xxN3eUfB{z~o-&oj!cG=~7e^V}Pk*17YR;eugQH#z%baAo+H8JrOcOKeyZ
zK-<h^F9ykW(xChG!y-j9Fuir;YL^y2dKe9EN-=9C<Lz_33ig=-w@`hJUJ5T3eG7^H
zGSWiY7OZ7@7Mj3IZj&rwVQ&1sBSr9y&0Ere<$H+Ks4>hcmbSMAaUc`#B9&!Z2dSxd
zDt}Si7+9n~QND7q;lS3}`vDg}kck793R5SIAUo;uAkP9bve!L~A!>U`J>i+llRbuT
z+ox)(N0AAgx;S5NfBl^l^qhFyO)~_3*~G-N=NZxLbNpB4nE~?d-OwYaGY!Di=exr>
zBL-|&O|G7I7$FZh7UuWN=!5?o53zm1^f;l?aekm{ob-9?&U)Wn9}?yhN9q*laBkZ*
zk>Kb_a<2Aa&)_RPNcR>0c&u)fynOnWnW4-Sxkr@M-^Wl7su%SeJ<qO?7b*;%*741d
z6i@zZocDEME9XqZlXWht$TA-_5%^0U&;G6OR#6waQ&U+VvMiJ23*Ue^rFoK~8j^Ua
zPzUBNzj1OZSt1SJXP0Q$|0Biw-85a~b>N?1!k@iom&hA${PixZpWnY>CgZw~RFFg4
zo$f7>{vMX+&X2B;@ujz%a;e&&NL-i>Tw5Za{&+LeM5Du3X+M)UuKPtngyyvismtW6
zwS<6&3G{g4-c6B|?KH5~@}Up5T_Hy|?(n=l%zy-=o!R&gD%^ETE;cY<B}Y%(kUZnN
z0nMb<X^v4;XnGgG(zkz&Y<q1g>9@p${6bYr9m4DN(dzrZz3GtYN$S4X$1JGWT{$g&
zkOH<le$SSw(xX_5+0h+m*swOJK-HmA3$*Oa*;ct2@V1G2YGx7#P6%7Z7jtTX{K32_
z1|CMds1jkTdY=mq?b_&bHBb}M4=AU}X>GvcEg$#apyS0bw&bz;b`8i-xi8KZ!i3A4
z>lm`F_;7oS*zI0R4Uo}V!dq{ck-m{Gjx6BEgT)`<C8~o_n_ZTs6DwMtN$ol=DTtT8
zT92k~Q-^Xr&cEC%Z0PLFV?e1C!m>ju<dH!&2#l2YJ>SlOUmnzM-gQg_r(8elET^kM
zx=7@c)^;v@zRdcc_Z~6iJx8~5a<dwI(OLPNyT*e=uqA7e-$s1Gox9*Is0J5D50=|g
z`B2$xDZ=K8B+9*QEqOJs3STAP)uu=DV^e}~x!U}?-({a`Se{XZJzLb&H3kGwlJbt?
zVj+v(4Gh|LoNDkZP^7H>KOt;+baPito*W9f?_P|tR)aBb8-+$L5&RbUrRFZL0v=fH
z?d!=`1Noo3{yW$yiYiC$-F3UFi1%_Y(^Qqzf#I{fz^y8AtWkPqt);Jwk&S~q)t}VC
zM&YJQdxHcP2#y|(8&pAqiU3pVIt}nvE6Tb%DTSjNbrM_i)o^H=qUx)DO(;`W=Vr>2
z!S4aBSEqe7a8cX)g}XHc81%O`cD|Rzc_nk&va%LFa}VPDeUu7<HC|jJ0`kbTqgSZ0
zpMrOpaKHIM8hm!&ygkiZ0dro8{iVF5qE6ej!+e?Apdhho%~Pg`j12G3Y)+(MJj2Cz
zo}Y9;{><I1Vm4)@FfcVnXlSFAR)fG3TRrG8dVI>!eLd$3_MEAEq>TeEFa0Zi=mUOA
ziXJXd#pfKh6R%ixu->9Aq4TOC&<>Rs$absYUG;_eP<0(-XBH}N3Ni-e#yuN{eyXGV
zH!iNHygF!N*KU%%-4xo-Mi^fGqJh$vcDUs{(MH=t4dsuu&Ebq-DCKFMCLVAPpjY8u
z@B7fn!JHXDEwPnzkCGPV?C2zv6llm>oYj172q5-%*+cPzS~$zqORqCSK~K3Z`I`?d
zAf&~0>f#YC<WA0Z2%%_VOKDEnmc5n`{CuI2RZ9yCc53Hm3#*~4XHx6<s3mA`E)p*-
z&_vfhm#VF=l+Zw(_I=#m3JMSDf2eHNz{^|flP!JZQ9@S2Y3QsKB-@7@>({BH>(c$*
zjw~|R2tCisZ&`tM*ny9Sqt#G9#k|6%SPY-myGv<Yvx3vn$G>^9sbZ1KKtW!)03K(j
zm(Dz51tVv3WIK*3W9nx{85WWgM=ywHb5N`x`=|K$>sCcf#0!qE4=|!wUOuyEk0m&5
z)2n$Uq=4p}ry{@qog*`Uw0SWevIGx~mjRx8<&fSW^77h^0dkQ^KK$~k1w<tC{qDXe
zgYD;7##gxS67$Zd9fy-FAbVqIFekedR));o5mD+Vj(^}?(dV=P<zLakIsM|uu)8t2
z^T{MJWE!5uzRpc4-<TQm5fR+Rc0|v4bcSFu;#s7M0QlzjFzu8SLe|95oMiTSg1@3(
zu9YA_20lmpP3A{R=9Fy!(?8-i+hT6-E^~NNrKR(q3NK#3sdx#IMM7u`r$_KHGq_SR
ztM+M`16k=g7+a1m5?Yozmp@!Lg*Zv85^X+Ke3P`pBi><=NaQ!ZEb-O^<d5po*`L{f
zmr7ixid+5>BgMLV*qBVf#_lordeP%Qt3&Beng0=^B25!ptc-#E=xBef*a~SJ`kuBT
zu|U`zOzRIzF#^e`^KnOo7RU#|UkbBi=LtOYV4p&lAw0A2VNWiaAte(H?Ku_Zh?2o?
zqBDwykbgq%uSw8vQsLV$ryKPzad>>r@<i;quibOk&4?Z)4KCb0xz}NqxbyjVLHK8V
za53G_>a@3?TsYm_nVURARB6V@oHW%3!%&a8Ta%wiovmI{rG3+c@G9$V-y%IY7<8>s
z(65~=inf+{>^x1#eRy=}3%4E!Z-{#uQ%jQm>hx1(lT(C=mJ8*1oG#?w$+w%3jv{Mv
zy+`Isr-&05#w8o4b>I`%+`uvCO5)qZN`rdl6u}-YCE0gC2k3{+n51>TCeB;&$v(L<
zMbuq*HS&2_8={6cz>~T6gy+IFy4t2GLg0A){_FnQ5dE)#&q1(<FkwBV5FtKIJe}Dl
z%`r}c{{a91|Njh^XCT#o7{%?qSN7(*uIt|GT3Nrxh-6EMNK~W}g_4m{$*L%2mhh)U
zNoAD$z7ZKEMM8v(h8@}C-}~pqdGVZcKIdBK^ip*HSFCQes8r(SA8gkJ>kjr18XVGy
z^qtij!X`$Vck*b@V`q!*NW`pBVMG7Ml~mvFm_k64+|=qk)<QP1_eh{Zx>0b(z00Fm
znwajP!e0y6uw&!iBuOf?uSMri7LQ{ZVR|7a7#A_2;kIa2Zwh$3DSR($|B3A-e&d-i
zU&5XiD(pRyq6x_@8tLUs6PVQDyYbRbmoe)to!!(1G7P_O+Izxg3j51v%74~r71KAJ
zdSt()0Sd1VN^6zRV4YV^Km4Pxj>W{XW#gtAFt>KXO;mag>wB_JSR`y>7W3n>mlH{F
zU+0DB&agii52IUZ9i0Kf-xpXs>Q#rYtM~ug_hTL#?v;Fe<s>8Yzbi<vr>KKP#J)+%
z@W0rE)py#&Cnj+JTYfJgi3qocu<}zXOW5Un7J7>t3rHG@XJ4OIgE1zNyU8od7=Q4M
zTu&A@kl#!Q`_EksbnzeT?-p0Frr5*Rb^6&sDZd9~TM01kTDoIYVFT;B%zI?#2q(Od
zKhYmxPJrQ}eJ$V4ZDAEJOXPmY@W6tYTPS~{D#-UqI|_3%!ri*2)6LiUpj`P?|0@So
zc-+P<V;#l>6rSd?xI6*Su56jL8dU*lp2wV(j4a^k;9x8uDFkaR1JY08RN#IK!?)U}
ztf2e%-P+$OVJPxoG0~x@0INu=3BxsZXmvT&v@=>1wBt{2Isa6K)9w%L{BCoC4?{_U
z!SQWy-X^>EOSv-S&vT5kf8>T2r0rfjNfMw|BG59Gs0@K$2r1UU2l@Ah>X&<^V01aZ
zRy{%)&bjma=?xVC8(04CB3`m!>Fj^~UW_u#F1aPF{1k*QLq7aBlH`G=sjjhbM;Rt`
z@?^fn2*YOX)l=H6ilF7wuyW{|GH6AgYyPY+3h!_IPEpKJf?pv~d#6lQAXhx<7MH{}
zpw`8SggdIh>TCT!rXN(`x|n{xuYv@)&8kKODG(qu{`tevWL0=CP{!=KTMDLi{?k$6
zC4$PuoO<aC1V~{JeOUci1}4U$8fXF}5Vd;!a->oX@)L9o45j2@<CFIuOoa^YUH%Hy
zbamL-W<rxcr2sbqtGzNTDB!OvK(k}ifQ%}x9MNxzV0k`MujdIBx;<pi@~CNor*`M>
zyuHfs(nh4v>je#3>n8jjyHP<>WGj*5y9$(V-`_)jss%z4r;m8F)8Kq&>no{~1UTTS
zUpSpghqER%y@UulWOrJ+urL$hjFjDfsk^kn&zhAw;i>}>KSb=w$?EXmk-f}39onF#
zJ63SaPY?WiJ~rAgYrtUx6C#hO4s_@I?yS4D9o8O7S!L`aLzLqMdkU`(5P6>Ke;hT0
z4x1#JMUo~6KdBRodZZ1{OD~3;FgAhObNDpn0tI*@BX+I-q5tz|+KXeB0DFd7vycDt
z{l$RYk(zy4a98}1z-4b!h&;*h*T|L%)5pgAmXFY&JBak_v!@w|oM`!Y(U}SlI$6qZ
zcu}DH$l4{MwmAs)ZN8QvQK9ip&CV-fB=|fA9YKTU5YOn*!B$Fvk)U@se_0WLBS3L2
z+uZ^l_IUX;m1x4jE$rL~vl6hx_iQ8Fv4Dk}?y9{WWM~$Cl4DvX1CA+^A&XBeU`HaO
z)R(s;2$Ht#`|@5C%s33ccV$=r@t1erxh*2><ETqs+Q|#DpF*~!?X`g7m~-c^38=ws
z8IF%qj~Kx0lVBjrx;X^B3jFziQx$F<7<6i={(*IR`|`_PF^At?>C2~<mB1&XQn<I`
z3x4GG?qEGua|m_nahU(90IDscS!G%a_@IuEYfgk2j3#as`L@b|*{inpUp8BKaU~(&
z{kJI?za-b_{FZ`>u8Tf{9n2`fZQr7<rzzMfcC<+wi-Wm$IN#()Hne0jt~AsR5En6~
zE!-voQsL)z<qdKmm79kyaa#e@^AT-6W(b1Z(H(7jHMr2k%cxxe2^fsH^@&tC@&em`
zNj5E`T<E6DWO@2^6EIp@QemF|ms3B^9`&VgBe%&K`}zW7m>tXHo)uw+x<ujn;~LyZ
z@AU_<+x13Zo5#>r@3Voi-^mV$T;xIyhTo5cPa49*@ZztMk$*A9uaP&|3b@dwqsVNY
zydm65KbYy%K8b}K_4rTSoC`@W>~^vDHh^F4mlNlehOl!=g9fgnoQO$2UiMYtcBros
zR5CJc!0cAeU7EYjiEbsFYA~GFhbV;tbKJHOHyU=R{^Q7rUZsX=ldbhZ+VJHZv8NyB
z=OD80SLa0TtqMV0MS74mE@SR`XB^koB;Ko5;6yRaG`cUR9yE8d$**uv<E5ioik=3X
z$Z5w^)0dOFprB5>931!ue;AwS-yF_~UZOc&h3`5rQ7c~Ho%9!X>2Q7bqlXiHa(tW0
z>ZSvMcDfAl;mi1^{pByW`*NY5DHG<NAGLvz?Cq1QzlPs%jB;ZX;YJE2&b4e#+OTkd
z`LM^p2445s_vN7(ZX|v}_sGg;Iv78r`Zen@AQANqwdB7%C@Y0cgyutsl`GcA^P?D%
zNx3Gil)#5{|GSl2HKPSm9LfdXUo)X{T0xa;JU@z>{3Kp*Q42)xu6!BhW<ePlyNsSC
z3ZO4GJ50sov|y~1!>iJp6~%IYGLsJ!M8@4{mnlvI=2t4#SRET`<LZfS@fAW(1-Ll;
z4$<H^{n~3yO%Ak*kr+^zFp7Hq@o=l)zk8&`AY8$T_B*%*lL|#pMnwqL^M(p9Ix0K8
z?6}c$hT;gz8BxUaj26y#jtV2imX3kUyojaB@speTHsrF#6!;OS;F1{U75jw`wXJOh
z-X9W2BRc92Cb_7fGovsVcvt{AU@V5=36jXg*XR|Y_8&iJNb*{q5=58mJ6FH&mPVf)
zQ{LExQ(!R}tNnaK2<bo8+8h8`RMgON!@-gQ2?L5)a*HssSnpA|s3woJPGnt;)TBVY
z{nt<RqN2#IX#CqwGX+FaaS}d3qrl|WfZ5{+F;sQ^>+$&Gim2^m<S7Yf3dER~in=at
zLo312wfPT}kZ+PHN9~P&c~m<5>P)f(%Bae9J@Z!?9exr$GqyqjHR^Mxb4F6Acs%f}
zv4bj-Sy6qjZ9#>6evyM-Y%-`ew|;H!GXheg>n|1Fqr#S^=7*49vPkbu@`RxR5yh!v
zRQqi-p!hbwr=FBY7tZhLr>3f-Zy)|-YZlX>Y{<j=^jQTobCYe>c$0)A-Y4cu?AC(n
z(aXZ)Ns7qzeAj-a17y^mUlDd)nhu%Lt3UM%m5|-Aa`uCAO>}ofci=jUHptqXGdqiv
zQRSg&gT?O@^tK7Md2;JOIdb)#?^i*AN@zkaoQkqCwY+FlUHGJard|23Dtdn>>x1_Y
z73r?DEQ*HcfkWGi#8zfClzpcmH;YI^H)EutueIt!6~j}FStcTCoO+<qVM9YZbf#0H
z^$Y-&8<~ku64C6;wmq4qG!#m0pXGdF2o-Tbf)Ul~=z?W=*atQmVz(U;sn;}yqeX2N
z_6JDFDLw6`SSA&{2`7&Z7n#7XW7Q3YLnIXP%1W(dmV(TZbX<?H1L&QSH+n(QKv8T`
zmznJ~Q76l-fr&BzZ{w`^3pN@kcBMl9h>He#X;C&mVQLDFezycBs2YgVM^a!wNF9kq
z<&s2kQy6D&Jg+`TLO-uq-KFIa(Bb!CbY(>|s5L%R8|Fqriy13l(pgo|%{ILN<s)XW
z6ga@JkfV;;Y{W;04=SQLlZwJCH_Tv0Q_(B&84>llQ9E06<q+}1(KpihX3%)3HSkiQ
z8oH(ELH+qq5=~C@<aXUMgOjVz+ciQ7C?{eutwvA`m7BZ$ybx*z&UUuH>`1C8b>=`-
z-KZdX?dM>2$;1p;lE%|pKPsblJ}x?;2YHZt4z}&&vMKCx2sYI{p@d@g9+IfoVny1$
zV)~!{GX)oN)l@u}BD!$vP)S2311b%f>7KAQ1rKemfsqIDD3+YVnrgp{*DW>2<^2HA
zQcJI1E|f(99ZwFtBhBIaO5^VCI}fmO?)C#-L22}4w_DVN;Saq2azVF<1i<swDai|W
zB#_y+QxxV8132fet8Cdm7@S#3w`OtPhKBb4IUO|h5ijjM&gJ;8cZTf8m5MY)QO|Rx
zvxS5=xb#_#ys>&?_@cbsNK984{ioD?Ro1c+f2Egr@6?JBs2V8Ae+>{s-k)oB-8XxL
z_n&!f^-$XgbQ?ctN~Z85qb4zi1J&jD*zErFxllvsY!L9+mcxU-HQt$fNUy<ly9jb&
zFAPAU={|$!8YgN=^*VXwVgv4@kIXSv0|;wK_3bQTN9;cm-YuVfhi6QQSeowH4wUCV
z3;t%ZqPsH(Zfr$&;-x1_CcR4ZfxR-zdFcZ)Qo49O$k(YCKcxQGIhaKs6t8sUuA4I<
zE%S~2(W!&@>E1)v9RKmy@dU3#qd5jtq?I=BBshZm<u$$RZqkL$2h(iZi?;C7AJ2s{
zMU3O;d+v7iYwE({i8B@nts6Mkk6Lz_)nB;o@$NP(TL)4tzYcm@t>apkcC9g|P2tsR
zts+DJ{M&!)S(=;Z8r~<7ba8jyEFR|eec)c~KTdq`xcxhM6+hLoYl!3GAG~epx%BZB
zI+QJT_o*eV;QRSD&Dp~ja4R%@nH)}s&~}R`NwpQcwsMSb`phDpT6;0!)8fCJ@$U*e
z%CLf;e9iQ7<=Qe%w>I155UB-x(}Gzk0xP(n-P5V5x>X#*!e3@FYeDethZ+y}tl$e<
z)upUl8~B|ui?@%j(ZJhovG(r!6}-7@u<d8q7Or`z@K%Z(4g9@5&dr6d;?A(u|B0Cq
zZMelO={=>wsg{NOR>w8`{hRocZoW(?>2uIn)h;TyhK=aYd#vLz9|EI~_c9|~Rqmwz
zI|}$Mo%z(3zJYt#8kW$Hv7$@7<1Bx<DBw0^JGYZ*3;*56GqWMXjy4v)s|`76f_aSR
z{Ut{Rl$L8a;`WCFjlJc%W_gbc+_9rE0fvl7ZSMyO_9-sJao2r0VMPN>y2Y<Inlhnd
zZ<z&ng?Q1>$;~!pPYsBP(^ben#EecX93$U9#E(`?8g@TwBEf;@p#h)ovmlKxZrQ{|
z0VHw4<oTcx38MRsRz~o$A@8!Ax(D_MAr8@cJhM(6Ko+bf(%DgJNbZyAPr~R{V^q<E
ztvaM+$scO6;6#CEg;hO5MA4)3O)n*X5h3oto@1lZ+{kNN>m5D%HuT&6pwYvdMEI<d
ztKg=<i(X2|zLb=bK>N;dX$CqGVe|T6;ekE;sCLj(`4UMAIrs>go>3qI&+dF)y>9|&
zN2-}``(YUr_Gb9<9(E!~__Ckf(hx%JUg9pyALP*IdtG@`tV9sXuh)5>A&lnFW)ux*
zDIh!3kIe=0L@@p1@8YH;inJ|1+RmmcqAJshDlbnWWZZteL$_TF)%?ukdM==hYH~hL
zC%quT^}Eh7ZCT>T`{Y2!`Fs^5o)u+5HdhC`U?E+_L`k%|5%Bw?H389bi4Co*>cDei
zuW)mYG~#e_&|zmGqKG2@CI25JQ2ze#b<QVQbffvjZN>NM=<DXsI$wS=C>#8qwn>*q
zOh*n|hTqjdwxsz=qX<n9%=dX__E7;HUsPpuJEe(g4FrA^h*Ci<KTO6;N(qex`<x7v
zqoODmyPn&kG+5{pn;H&QMtSX2pEs*i6v31Jw9G^cHkKK>dD>Nww*pVI`5PK~>MlSM
zPNTz*?KXQS$pj=Nmp!@jlol#~w97h@Uk7}h7r`b`4aMzAH?i5&LWlj&?#X+m3uTi`
z*=1jeD7Dyr!rqgPxG@p7wkUmg99i}Ihy)2GJ884tjHM%YGx4-g9|NEcYZi`g*FX)j
zr>!Fo(UG)i-hJ6UM(|MC+JKQxM$O|dKVN00qvqR$z-T)YaE|ONxU)(|a*2=pQrxsq
zlwn{hiwwZVF0+eX@tUYXUc}kjmxknT8!T+Hm_ls(QP;g6HIepxw|)YVim>}a&7R$+
zux2OaI{rx$3BHTpPC7<Lrbi1m?j)E&%^!VP^#n~+-_8{Ff~=0t>?_Y45;uoZ8WZ*O
z0vV;jg{$AHRFU8k=gs}G=8!Ei;ou=oM!fY$6*9?6=wX=ksrPl}a184Zaa|*!>)JXl
zfd}N!!a)TN%g^TEV6u4Itw<g9XasM6@=6@_b0!q7G?~M-ZAD*Km59jSp0j1}ju4vZ
zbKjAdVGe82cO71yBcMkdr&9BFaiR0K=Pz_Qm_r8B8$OLj6%@l!uTj;=fV2z6_J#g2
zgT8Awz3sM?P_^*#_s1b~I5y^|BzxHmgo^oSJo<|0Y<-1eP;&=P8UDT4#cu{j9iOJn
zoR&w6q3Xk5a(b~6O8xr#8>Zm-TCsaLNd|@3d|ehWo5Hdi%wv2+O<|u%6M4p75>?rI
zbwsx<V6>8i^Zd5~j@}Yb9Dr@;Zo-B5I{g)Ftu=|iKoTH`w6Om9un0O*m%!hlw~igh
zJkwImFpw;Dil}N3L=DwH|Lzvt#CpXKdmeQ&0pIR{u$gi`<d<~7wvBZQi|P>!O$;@L
zaMF|!zcm+%xKMTEuk99AOU`H~WEnxh?ru>JTQ>AGi?LuzbPH>&iECABHiQom<(-Ak
znNYWd;OV;fP3#o^;$>{p0FIi>bf|4?;@rm(i+246X5DV;!DM6r+rADWNm#+-o=!zI
ze_O|%6tnZK$8LwN>za*{Dhqh>ltOIU+#1I4H7>UDoj!DAmwLU~K7;!|ndc;Mtzn;n
z6XjmZ>H}j;T5KWp2QG5xx{1H`Dz;1Y`pIYEdf@*pUM@~>2>-28^hq~j1>^E07t_0R
zA=yzT;B9Ott|XWoD>=A~-Q)53GO4QzmSsy!w~`RvN!pW+2QFhD7Kv9g?&!eJN$$N5
z{$yi9-#$kK$t`1%TwUYKTskl*mLA}9x)Bo|Q;!bZTEa%u0x$MNYC}@=rsAvKPuTDO
zPGF`y%UG9n+!f9_I^6J^-O+;eVV)c1Ts&6G*yeh2-oZdRTz*rzFZRk1cKpdA{8zq=
zMG-`Fn}2A*X@bLv`pOY3t4X%2(|QF<h{$@o?T8jo9TWIHYsRrkQ>n{A!mC)t6Q84o
z(=?DvYv2Dm_ZN0<t0&?N-x{XhyC+iaG!3p2v$i~gC$R|m_5gjOb?i!YXuvaO8pOMG
z)jlwq!9MWL-L<*1fraRGJe|Hl1=2m+FVEQKu&jQDn&-M(*j{&0p0@-ltbYraJrMo}
z`z&EHwHU_$n46PqSPTWYe?9i2|Cz_U4Wk6Y5*Z=ugx-N$&op6jPto8&%wH@>JO0bf
zawh0e{GP(_hYb6tB2w4om#{sr1HO4LGeddBpG)n!WFWZ@l&B0WWB29WPN^Ma1q1md
z5;0B#<|h0!R;pI9HH%|)nTu?YB3qVe{e=X_?M5pomFpOLbhuM#1qUdlmwkw&lYmuJ
z?BxCaO-%gpSan4<7lfVBoKwh9huGR`f?);&2v^|(?$3E3tg20+npGV%8;OkJUm0QF
zNVU~HW_}1)Iwjj1MTA3__FU>TV1|-cx5UC51%M~YugrW?4ekZ`XW7=UKqe)ed66Il
z0Tt%V!-;ADBJ6S;9&DgFoaX-Vp)h1!<S=@tqy{7Ae6e2g9PqyPV06iDQP7xr!s6LV
zfIg|m#h>}PAnkFlrIF$`2$>H`A;c1(CD);fsKEo~JF9bSB_-hMghz*z6#+{9l0KM3
z@WK7?u2Y#NQqZyfT{%X903tzemaj$&z-yTk$LmsMpbM=pZVD2BVb?96`947i)FWNt
z;Fbs38%HhQN)h0^hFiygt1wi4(afwqtN<e`WtQ<~1ek58%y*s_0e^;^z)Ss#P@MXb
z`(h#i?B@;N=v0V7;L-u}xMRw&4N@}mmkCf%b25mUE)IM`vQLG?RN?Ik`{?mBH3+rT
zX}y{&38s;o#syypFqI-|C*n<nW~DAxk$2Ld7AHavd_;sEz2H?hUv)_Cb-K|YF9)4}
zr%&+RB7s==U$$dKBygiX@^pAF58OpTziqCNVYrsTriw;}up(9Chf<1QfH^RxM^PXv
zwje!}n*w~q-E9#ON`RdbSRMGse;Lyb$|AW`_@vWAsvS{=?C?wUzFZpAiwR_$9Hv43
zx4AY`S5-(a$vE@+looI`+GS8&=x`CXcw^fLAgb5H`;tTlKF@QPe=TT(?`+M+X(J*`
zK6>IZ@`4V@`u9FhAYEvjc`@)bPaS?z1d97bwPDqqEO)m;A0EULeEg?Lz;WfEb1_XD
z?u@k@lYVUg-**Hbt(7FhbNjL*FaGW7_N6pOwjm>E7pyq#EU5`C{R-0-SLk3XuFloA
zWdb8H{%$kFn(!iKzgJ+57K8?k{HGlcptf;T($${=i^m2p8E4Ue$fa`4E6Nm{DbKHx
z^C{3#<K3gLMTP6k$^=nYGl*=6|Jt2Qfv&o;yR6b=;H>?<Y{g>^l64^gf+`fa=j4kI
z{`>o3J$m`VzaETCFVL_*rU}XipIoXhQ-P5ekLDVe&EbxH`n7xhWXN!CI(MU60q7qT
zJ8el8P%W9kvqw$?X4xap4d_e5hwBHjI<+idNmcF+>5e*FkjZqIG!lh!)(6c!!WLj?
zFcflTRt-vOJPfTq@WMXhT6dQ&b0{|XkV;Y_K)b{n9iCDqxO!#OW#+6o^vdTbE|{qR
zE2H<<b>}}A_cie>M?Q0?b1~At>Zt?^as1(>u5Yk=yK6RX-ZX>tr{A7ho>l<uX`fe*
z_l@G|$J}163YkG+v3Opfu^eFc2exS{F5vqU$k%F9OyQbBVS>#QDVUDHZzn%k!;g!_
z_X%>CLQwjbgS%YB;dF8@)j5>`5#L`7w7LlJJJ%=Bkt_-#@d1_Np-f06Z|CwTGeDPB
z_}&;0g5PE*@!%3>^cLr#mGNWH75^~SRE{64OG<d0-C2;Iy@airf(Z;Cn&IE6!v)O3
zW?f(IvY_1lkgu1Gj3K0tO@R@y!ZA7D9-UkkL{9E|R(!w+qz7qaofnKi`ta_4r#}mt
zdX`{AxNZpY%cAa%2J4u3_v05$LM-S-FGEtyTLaivGA?CS{}($-E6Ukl#*91*H)-PR
z2Jm&$>8{7p40fZ~?oEw3Gdk8S(c*2t9ex$J1`9tN!^%Ex&@2X-(8R>DY-5f-WVNq%
z99iqZuHIdLYaGvnDl(TwTIcjYy(U)lkp62d*NRM2`nPX%!?Nyg+UmjPJ7zI|>1zDb
z3r{vaK_=wt6`-|QrVAyGPOqxfJ8`SE)nBZujL3Gu@k^M9E*y5^^(3$l;@OOkdn`5?
z(e6Sq54l(!xZJ$j9Qkt;mpq)S6fDPtL`n{3qFHV5pdKy{=>LWD&zw(v>&=9$OhR_3
zAJzt*rC;i;VbgeI;IN?WD<;HJr1DaChz<>B)8z{f&f)x-G7f`=%&0WFMzqD74u9x5
zzvn~e@s8@hR$gD35pDTJ%)4PN;65n>S)qUN?@Su=<vA>f-&Gf<|Lfo6*W7sJ(Is5J
z=uYcsEGr6CToznepn=n{-b(L*72J)mzDP-6Lq5(EI<l8&K-=*-SK50GZ`yahf}x5X
z9l7xmFO{Hy-MdJ#uKxzUtaQ(fg@+T>((sbX3M!cJvVTpB+rt0aB%UBAa-sTNLF#Uf
zRPc*=s`jj(0mb-)&sWiTP&S`wjQ<z~9-H;29%N@iH3w5alDPShfX7wkH97_SZ>sM7
zYQc<V-)wX|;uJs)&myq#WKEEd2r3fKU_rA(miH?Og6LI8_n|klWH^>ROHg8ALp;~g
zhzAY`A#ImyF)lu2@Ue1P;7w*nCtuqKT&NaCS`e)l)2{)Q`*b)qv^bI9J)2-oiYO9|
zzVG0ESOcc^HH)aNbD{2B2EXMdF*Lc>^@_4Zf-@^R#$SK)pvlow9(yl{qmYgCr`PV2
zfW_CsER2aCnfo0fQT!y4x8>QOT?a`Zl>5MtRv>_kFBDAr9F;}|B=(96+9Y_!N9o}l
z5JZ_`Q*(E6WRZ1}Ou=(0667w%3!kA1qo)?1d*!0!QJk%N@*8Oqc=YLAlfNs1w(s73
zIssQe`^SpgHw;M7ec$DGqPiHmcic1MrnnNSbha5&I!l7X*_ZkGyS5?Om06y*mz7c5
zh}LBAw}1LC{F$%KkwC&mwyP@~st7+`eE#M!4H%o<He`HB3T>`G;#A8epiRRC;sYWX
zUa2aCK1z{6bJg5|+CW6lFKA@QNNGZz%2t2yb2+p{dySP&siV1uALmmnDRBLJXJ+Jv
zJd%k|?7Q@DZ?2f-C)c}E;mOF-@dmOYD!&pRG-9WTN+OBU=~NmRG+AAUJfejBbk{|{
zPg9VbLO{xhh8FDEFCtY{ri@xBz7OFg6*2K%_L6j<!_{Ghn`w(Gh*faLd+$*iYNVMb
z+_<d`+U=P=QWybEkWZI?+@hh5CPNl2R$XXqq~}<jS3~~;009603|DzH)eR7}@7bPx
z_pHzUo@ZZvV=GC@S`qb0iAqRCsf1EQQAs2!QnEywwKqhvCrd(E5?LyRkmU34oH;Z1
z%*>g4FWYgs|I~wN$ZglNbNQMPl)RN$T6#votmUj<6;EjB5)^Z}+R6mxi;o*nx;2oE
zh1V;fb}j#_&v+-R8DtB4nJDyVV*0Q3TX$WjVRrM=8wwrfz;|H3@#kVKeAcw{;EWm#
z<1g?yZOOC*qc>{gr#rN<EJSp1e>fH8_O-n*)CQ;u{J~Sytc{c`ifZ8nJrtc!ww(G4
zFc&qTuzyt>^)?3hGF9u~Qba5N<L6euI27?DVMZJ6TZVLsIJ7WOGFokmn>Fxnwy@fe
zxt1UCF3E?Jg6<KE@7X)7;nQ<+P6CHE>fC60y3ntJr^lIJ&QNT?FqqwfOHT`ns1L{w
z?vk-9v)jkq#|DnxI$QolUK2yDZ~6z#$l>nps~1U!Z9vBH=)aAhDEQZ|UORY70(;BZ
zU%KqFfrmjsTxDVE*tbzab;z59H{YFEN7A=}!QI=OeZQ&VC8yfTO|SXz&e@k%%0H}O
zdrhXsITsb|3$;~M7iGhQzvsp;rCCGbu;h&og-Tdgzy3pm?-GM0_UJnWx;6ZHC~;7O
zi;N+6ud34=CK)0>Ow$ctTfzD#8MXWY3V4OPn7h)TiLqfsP~en{6==NQQIk|Ci`9{7
zDl4rW#87G9*6Dr#a(Zk*Xn_<u`k!cMPah>}2Hm5Z{Qwd#llWG;#nEreU)#4*-w4{1
z8NIlV1jxFzr*i9xqK_KWnYrUXi7TeF;Xmgsp}6;JVPJ(Y%0}NBzvDPdeE2<)?;v6c
zzMY<amJx!;SWvhYVLL}OP=2%cn^?fvpSOh1_3&W;vhfhfbHuSlo6!4v&4JnW<fxq-
zH_pC~x7_7DN0=lGyqCCX2FlxP(oWa2qn{aTjbqDN{T=J|(mPGTDdNJZw%06pzx%1C
z^zttv@5`>laS>B+=6ruxQicgv(^S+=n12zSy#cI6J54}2zv{@7Q_Bp2cV$faKW7N)
zmFA{v`Np7P^qaMI>jFbT^W~$#(jP>1?EFice?|~odgzfz&Mag6;+B`S7rzm4_O(X-
z+l=5_@S}e(17{f5nuLsOk53U&8{cr3J~M=bF`-{=dQ*(tGg<>oaT7#Sw%(>s5{6KC
z!k_cK^%z6_z@2m7aGaQ0|Hip6$^d5Vy_u)xhZ!NUm#!*lj1fsJu@>Xgbcow7VI_ZX
zfI)egTYRa0lsI`I+TPQf4s+ec+gFCW8SyJG0z$5RCcZzPX720IhsKPwJ(gN;8TXbs
zJie!n5Xqw*@s<wyp#Af0N5_uW41VcjhORBcMEiuw$e!0UXn3B`LQ}3}$Qg;9Jgh%V
ztoL(SPgzfcwu3*m?6A#aNc#9mw>J$D)^E-f1vgTmtA9Bv-}WqVz|A6j^2!i#xkt%M
zZYvdzq^hmd3KbF!RwB8ZVuuLY=B1MoeR|-l@pnMuRXO1j_E!DTy&)p}zmc!&{q^8g
z_<w=GQ%guc9bRGoK19@Xs`jY-&;{oaA7RFa*Tm(Da*rb4VS;~-q~0c~3yaC_QmOl!
z32Bc*!P}Wf2-zrm@Uhl`p5ubW(=F|UsPpgz<)#rL*IV{=ahNvz`p~~OeBC=@^U?i7
z_p3h>Y3`dMZWm~Q^k+8zbXpg&bh9$<`@ksC@Bl+VyuUP4gKJU~=BYa!V|;puy<(Q>
z36wEHDb2gKMN1QQR3-hl`(`g;dz2~QdhR$8IrQ7LEldN<s_&ZdPW2Ja22N}xt`o#o
zKThIj4F%vgkC(RBM`F)s${7ixDdOVhXFf6_6u9c&{rSJ2gG3PTCX;)v--yJTUVD=R
z>hR1daw6YznBa)t9^78|gJ=}7%%V4_!P0?;myWz2A<TC)=IvAYNw75w9{Z=J2IRRN
z(TYb#39eJwJ$7lohz+)TJL3~oq0ORKhlMsqTs2bO@|iYAI7|#VzFSZMw!iZ24<x=4
zyeV}|d`t6$eOr0syL~EPB>C{|ismHYwIhL_{l@}v*tIhFN}n<`C0Sf`3YjL_iN89j
zl7EQDq{?P7S7mTC5oLIP|4w8Dn9GZv{!7d*tZJTks{~JbqBJVHW{B|%CFD@@DpBwv
z)BA&q5^zfywv@a5BCcE-ufEH{44gc56}$S#5ahIZe)i8SvFvzt;QL(`Fuk1kWP?8$
z=&!FiCpFI#rEIZ|YJqH!aDw~u$0bFWB)<)oXkH*9$z?*gn*&@xx;-{U5t3Oy+)n+s
zMEDy^KD(X31^S|X$I7XS@FFIFKk>j{!gsKXUvY*90tQOEC3+R$l6{gguf!_RCl~sK
zd~F>JR&Bn%@4N!cDZg~^VrPab=fMUhLJ*!Mo)*1sp#ZZc-QNOpSwJJp-^{5`2tJI9
zQ*W=xL%OzbkybDpkQ)}m9%PXqc+4+@<Ayvi%WYTu8NdO$>ZR8fQbZxj(vV}+K_1SN
zMTUHDa6upY$fQe|IOu#fj5#4I4|_~}51d=!f%UU)Y%?S&@cAApxImJJ%%ED?$9L92
zeLzMASH28H-62J%)8%2SsyEiy3c^<VK&Pjt<zaEG`oY9`dH8kVd(eT8LSQUdPx|1X
z2nU-T$7Z+{K<P|Kc55aH?5Jhe`IpFWC262a{D=ZXi40MDFNgx4ZL>6Mvoh>vpPi?&
zD}vgPYpUxVao9(t9{P={pfEZbk=&pNBS~W$pHE1_N1I?*u0C~mFgrbzRZE7`J9{oo
z?U8}R;`<d%Bu!u(Bbk0&Rf5FSkK4I~<bm*O9IFh_hO-$-8|yEs0P&Oc%h5#zSm-+f
z`CYmoEcHV?>3|x9_4=ldMv;LmJD|#@LIt~@YVpO7DUkGHr&61|GVm&x6lHnSfJs!a
zLeWnP-l;`CtnW~P_O3sUiShc7ze>x4%eqkXe(zv*vKmaSBx#pt(IMozv8c)|Dv)C4
zHfn6AfUV~eTV9d@>^y(}pZQ~bc&AQ{9h24sPkPYMr}c&q^5o9+43i;v=QOykzSV*c
zMoCHC&kdpd+2Pvk^Tu%cL-6y!039gG7fkkRHH5d9_eQDF&49H1(XKt+x=?DCv7zat
zA#A+g;u!tg0v?ug{-+SF2bxZMJ(<c3fcPBvHOCXcv)=kb&o4blr#0MSJ3|L+xz<AI
zd@HE!rR}(4Kn0%hIo9|d8gzy}&>HBohC{;gjb*k}cxp0J8`G)>C+V();-C$rgl&<R
zl%;}L=i9rUzqMe)C6($gk8Ht+CtGXtOFg*GZI!LEqy{HVwgo$x+Cgf>73mQTJz#(H
z%1ma243}~;{|mfe2Q7xmLAq~sfPHGyt3My4fqL?RtK3aH2>VFtyz@s3<ThoPLYgoz
z{*%mfJYokiXQuAm8PkB#RLxM^WHxw4iQjoj!47766(>6Gt3$TnO5L01Ux}G-;U@pB
z;n`=$Tzq7+D#Y8#j*0}1Gwf3d<uh`&Fg@7z!emMbT5k;a32Uq}c;?ExEMsgSUB|^c
zI!O^+zA~<s>T;s2=C4GbVQVnI`snS%IXQ^PRE@ba#fNOKKV&voTEkN0W$O{L6ucI#
zo2OqCL_N8G%6VB<aK*;=^bsa8U>fHJ-UT6isF@Q`#9;;er+3?*Qx%3s&f~4i!@_u`
zFs94*D1gdGDRqLj4*GV}Qb+ca@J)~Tk-lC6)=x6Hc9wEL$hJzd*?khqtP?)*^1UUT
z0^#PMCMFQ7r#8wwCZX{7pl;8Y1vs>hQvZ$rCRpck6B5!$XnxFTRf^pLVun)Aolcu1
zb{q&R`E`hd{!#zZJg94W7}c-rE`3Loto-3AG$SE~{|#{nG=s-Q5&oxx-Z1oDnw!P*
zknrO1600{wrod)uw_aoZGh@_l*vWnke-)|jC1b?|zNPpXI#XvDQ-`D%SL%duP#}!g
z&SOoV7bXzAjq{8jUQ9J%<-%ydtsk87!Wd4KDF^nv|HHWSVOcV)Mi>iq%r<c<8iOjk
zw(Ql=RmL0ow!wd&gt3LsCr%~B2*gzHKHS^Gj8ex%RnCz}cncR#B=M}pZNwfpx3Hp4
zjRzOsZW6lBm{+e}G=yYH(!GQC*ikbmU37Cj3AGM3+HDmygt)^V4gPyL@%Sm_v^E<N
z+^WdU8kA`OlT)%QP9$y|XBV8B?-#+W$eATCssRXXu6uE{oCkAUe-wx$iJ}3E|4+RZ
zI<Sp!cS!8y!$RJU*bq-K9O7xaBNjx5<ZWXKmQ4J3+h2Cs(MlYZ)9t)AiqqlFxj^>s
z`2tw`?oiE$wFHi5zY&snqYn)iK36$E7Q`~@y*vK9B+<3*QRQfqK5X0c{a|H^5Ds`2
zYqQ;uLX*)G)5_NRkagTxF8TD@-B6lzS|+41XyS8<FP}aPulFB}K1#w*$DdY}Zj;5J
z+Nw(PAsR?H?KTvN5J48EQ{5+q<d9>r$zcCW8i;?pKbjsdimK)uO7E-`u<7FAiQ+sO
zaQ167nmrQ33{zJx4FyHq@FKoo?iLLsho%a@^o!#k9>3kUdC1r<)xTLQiv~w@DmpjH
zO5)YN{fXvGN*GRP$L=boLCMoTv3G~1Fwam;q-<3QcV@JE-*2PA824i8wN7c2DBbJq
z!Ks1<8R^yJe>B+Uc7Dv(UKUS0lH1ZRqKbYsH2+0Qeb~=6HBD}n!#}3lM~|tfVfI%6
z3F{Pn(9w4JaYRo6M*=SmJvLCscNOFMtV{Zk7t6cS%cO|=?QHh$vZ7$xzcUX+!{~rM
zUwFfN6wz=lqdVP31La}{$4G1jFic~!&nqTlb^g!iHHMm4B^ahdJT!ocPXm>%@k$u+
zY3Hx=B3js#we-Vxk0D%X(eV1aM;Tko-;jlRw6I}PrS>`12;`ql2bY+r;1Pa-BJD73
zbZcNYt`Rnd%*Je1DK1q!X;hbcb6gu8JJcF2*-W70F#oftW>r*pBjT}}qJy7JFINk)
zn!>xMzqd`CQNytC6@N#49mI_iCyaT`z_dGRP*+hMIr(?g`!VU@De)Yy&*J8AL#24H
z-XnF?Obm_=Ow>jX+MHv&k_EiqQ`Y}ml7d^TY;og<HT-0qEvo94pe4eWKN~<ndYEnP
zp)Z=ayy4XDaQU@Ab4$UInnuCm!tKPwGYx#w6f|4R3{bz15ITRCf+f=z-ugRJP(}ZC
zm$W}Xr*h{|RU8H1SMQJ*MKvr$O8SlJHNSj2!t?P43RbZHZBi9bMIXZ}D-Nty5PUiF
zo7-n~RM@=aD{Zfg+PdS%IgPBq#^r<m<DKf*V9U?TA5O+?%x5;bZnuI5&u1Spo~xnv
z^UBi``3jiNy7Q->zZFRFE!l6LSH*`t^|qq#Wifka$2GydR<N4tccNNG6+a0cjz4-{
z3ftE^zsO(nn-Sh(=ewvX_}ni$>S?Gro)NfRK1#I$zhh5WPnjs=^(%>qC+>^jAn#;-
z9-9@U6<VB1F;+t2^i;<Ibz%JTW-s+u3&07|)~`?W$*81HyUej5fc}a;rWKa}LdpNQ
z6m%6a<8)-JDZz)n>9XbT?Eprztxnz2QNWIbg%ty3ZtSgUwVj+Lp!va!dRw3zYUc&k
z31)KOjmm*kes==+Z8UG}z9fTTi4;oMZ8lVvB3-{;VhM%nF4?B9r7*kWlHnt1R&?Dz
zE1$r-=4V?o&tyqUV)BS{Mhqtlo(l<okm_dv>bYl|Mv}zQd0kEHvKur0Dw5vB`O+Mk
z7o;0w6~%CSl)*Q~0uzcYZL%DeFo(Z<y5i1VBIso77=3n>2{*EC)t@?Q2IsjR#h=O}
z;r7+dXVrw5@mu2i`igE-(7Cw$wIN*?F}-YgJd7Ey)MZC9j7=f0f8*igLLs#O?B?#s
z#ez+ro>CmMOn}BLbYtO@Ahx7cyi==Z!K$|p3vP3pKt`#2`-HY2W{quIjJ?l_ck1aT
zW5<m_@W)xhaGC(J?OAsy@c|o#ura&aPa1(WJt*)H!H-o*Hp++Jup<*EqkeR^5d>bl
z-(VND4!wWOH3Aza-oAe>ueaY2inkBm$p6KMO>uJ#W1d`C*WL9AybNJSX%O$hYkb(B
ztWmkt%#H4whJ?)r4ZvJ7B|32rAGR0RwG?gR#ix~-?$iDT@aMQ+tdkEPhLly3YX9+}
z*&V~Q@Oe6LuD<!A7sH3FCFd4=Yx(ghZ6_Q51v(s<u}%5=mJeU(#E^wt1o3KH`Q~AH
zI%v<hc+{+4ht_J*oii>%sCU$zN3U8RQn*AHdOokiyJ2@%hW&)`qw$Q4^=^HTtYU8O
z&*Mj5L)#_(izFP%(=$21tq%{E<Ah671TgHruG$k6!J`j1p64s4f${G>Uo6)8@x>=b
z3a=Bxy-PR$OFc{jFZW_b(|1AKtIN+Hd{`V!7les;Z5oKg>@VMtC4_b>qw=g15;$m5
zlpQ%s1-9=GvxL`hc<JTnPo9uM4f8+=@meZq=Cs$}v>@TweUr1&sxs*N?-@v?Q$a7g
zs>)qU1n>OfCS0aualvI*;;u+4)IK&WtkDxiqhM{x#U^<)aF1;23!uV65u32fCNU%e
z@5-GUQNaHye)4DRp@OYBS6o1(IEK?NR76fIV##8ES5qJr{EfSOHq}X>r~Sl<S{5Zd
z;=i@CD2fW_BCnV7DoNp!4V_aPl$9}Vy{q)S`&8hPDS8x{CXIOx&=I~x1xI|e21P$n
zVc#LMK?!A9Of{Lis2Ht^p5B?XGwL+hq|*O#vQ7>cm!8~qD_6rA9&u*(I2yF)9V;y}
zSHKr8Zgl6L>d5L=682}A1`e;cmDI>9V%>B8F9%gLkUvLEAwNzZPA7f$l33%#KRrGn
zY+E%^u|qG?Q<DzPZq|eEmdKdPJduAqPz&=m@i1<U)8U<mchiMwC0r-6&}eW-8~K`?
z8;?~Pz|GZL1seyIQGG+t>%lEL*eLOR!sMYL{NpNAx!I<I_p_2#&T;GFqlXnIcN7@G
zbs&mEpR3}H7=>B3WL?zouWzz@Weg?UVnN$d)Q}{zOF#OfE(V<*U)?%s0_(wxb-%Yd
z&IQ^uvybay_$lV%92qk>o?CM%L70MC+rLYx<>_KV*7tNLH*=8TeE#%a0R^M>1p8J?
z>LUF}!RLT@3z#%<{?)9ifdNsRA5UB8Al>ocr+qIh;mQ4VV%d=zNRd{d9~05Wni$Ez
z!<_`ky}IHao3DX~ZXGf+%F#rU@FCUU0|5Qo4IhjbYT!WN9+TR63ci_bN!j}mK>EzL
zPvPe@@bE7VB|%Yj?D-dPxy;-OcwC37Hc&Ot`9vFatDq{X1x~QK##w>nVntYMDFqMq
z*-lLVR>D>BNp;RDE9ifpu+qmzL8T<M$nai86g#dio7QIq6&}B&4%?`s%HbP>8{*_q
zJh*z|(dV`QZ(zd~;iZO0^_^^L;-zuOjd^c=uN92T$UIH*RK;NH-xp%viet{K5!>ZT
zE7*6ig>iem3f?Q7t9IWng8N4nx}GLkLF3s!<XjbH^icaL6}eLgZ@+Fmb<fQTzF2TB
z?q4CJy3=fkh2J_<)%=}1B47oxm5Ra}Iu(%z);Ugea-q<xX@U2(05`2IxAGP!U`_wF
zN9$SG(UdJEJ^wJk_!(!15^;IFx_VX9eUuqDrt?0ulmPG^+5X9VS_TKYE>Dx*|6}a>
zek9K+l7JLr#aGmRDV&ev@GRwDW;ks;dD64q64-;K+Maxsz=|B$`NMIM;dU;!Ja66F
z9?x`k7K@8x{Hw3p_YVJN)Xg@XtMjmc*a$&?ra)2TNPpNE<}uIU;`V>_;f^`nn)vto
z`Va{>8B|o_=Q)P4*hjyYKg?jdHrYGtq%a;5WzUsenPa3zB`b4VnZc-DW!+;_A>@7#
z6m>meo>7+X`$Im}6jaF}(c?0LSajo+|AUji8QJ7-X#2wi;`ZBGi&*nxt3{NlM)d-N
zKYfxp+tCE<Y7@il6Zp`nC}EDvW{DwHP?Bd~WDE`a1KrJqdC|2cQip?enc;p=F3>^5
z81|VsZMoCQjiD!9_a2!4%dipn8km3D2tFpbWl&nUuto5I`%95k#`--Rxq;u-e8kP2
zDR&k*ana*xXjKsta!qlBT-t32cW(;pV)fv}%}2NH{yfHv6D*r{3HKU6z*ni(bHf}M
zlm2HghsKKbC6r8NHv_nlvw<TojRU!Z1nWXm*l?c!v%sD%I*13-7xg1JP%Ao8aU&-O
zKFXgVY<JLMvPYh4^H~lwfb!M!6i$T2eNZ-{59>B>ySKlX16}r-v058)W6NOE`QBiC
zIF?(k<i^5@yPo9V3!dXaIX3ceJ*z$}&hZ53M{pt~X7l0u?R@BWcX!Og3>wH(e+xN7
z;zF(qjP~3new>|ZFnexHgZ|zP8f+b0xRZXx%OFe;oB2uIlzuAA$wXiISi+49+$Ifz
zsX`d2JXzorLxn#>Dn!_G9^{Eu?n!D9Mta^r%qc1rtjS?+5re$AVjX7fFDZf?rqAQ$
z$MirjiJm#Ey$+u>mbmRWEs7s+u@pbPqX!&;IqwGV@?)UI$2z4IF{D4er&8;u2f0#P
z-hG!B#7lqp_MEsOfjZm%YOm<(!PY9>G!s@K{Ki9izvv`|)>qq@RoV35putPJ&R-#X
zRQ6wykctdOOJ<f^)agR(>7MV;cu9DU<Kg>7DLKqvh?wiXt_z!;M)|90BKT~O$+1pC
z0Z*QDd*pjY7g)o7pHvSOMMv)5mCJNR?6<nzbSg#{eEcpozG)Iesav<ls&<oc-+V@!
zK&~!KcmB|Ku#mu&=B&Hbx0G<%&N*nyxGs>3&$25vN#e;pR{tW$m9e{-^Vla<JqY_#
zKOPbyjXePu@0k;-m><xc%^Rc#yzZmb^E6rfX?k>B@EtW2px2yMZq@@L{NO<EI(ZZe
z(&xX<LqQ288;S~0!S%$%m_w8T8eY9^%6CiyYo9#p{nJK;fd{3!`(hRG#NzScxsRF{
z>N&2rFM<Xx+NtIV$z%+=ezZ-<OdDBVW~X(5K75Ty$qC9;LKdm3-PN%=$aQhXRZo=;
z_uM|%N>(f5wdZ^li;r~?Bp$;9iUHV5>^uLVO9hox#a10W_0Ux?t|`R95NZWzvF2Y@
z(bO?JsJTWD-8!ig7tb3()!LN_|5C#&kLz0fTvT+A%exfWXAC=RvrffMtK)-9Ua8k8
zRBXHA>R@hV3WL9dl#Dwl*m^zqe!UzOt5*9<M4y^LWv0bg;!O=af7Np#Y*Y`mUq_s1
z)UW^-gR9NoEj97khT-yk;d<CYTkh-5u!MSPTP3YZO}rr$Dk}R-7q_-d`2GA#fH8=$
zeC5)@0r@1yQYjtm?LHXadj}w7y3zNqk``89`T6&lrWW$Xm%mchw}OJ4FQr}FTIfM1
zZY{3yRC0L1aY~UD9G4m`FD%zY8AIdIkV|Ul;FA2XT)-MCqg8g6(ls$p*sW_Hs|wDs
z^zWK<w}za87QdNO8hG<%>n*lmGDfr2ztxDchVr8?TvXF3ST<iI&(<oBH(1_i8(p@B
zxgc_5@MU#0{nmUr?57m+O(q_hjI{>olyk>M{M7JmoapUsfnpe8V#B$##~K#o?e$4y
zRaD<N&pzZRj2EIKQnGceVRZb}ozgaCWU74Mo9Va?J5OX7?U=HH_Kk<=>Y+;L!SmQg
za)|>IpQXnqr&|G?^%}<p5*gRM^$NRin;947nFddQ6`T^fwOOJ}0gs&0+sC>052H)1
z?(X;?K*2x(UwE?|iX3V63f(Zv;NCBG-1H=Xx&4<*6(EDpzcMovLZ=v%9F9R>5dh;&
z2~Q68NFrASuSloJXGR&}yS`xu0XdAQ50EU5zrXuTa%lH4tlr&pd6{4d_J<rI+`~k%
zy_Wr^FZ~^Z%Zg#P87*Mv%Nx%QoF$=|vP|tw)n>-~;Jd`tMRRa254@>RE`*C^yCn0y
z8yF5O(LEat%t7$*NktWDL7Zcc+nf8Zfg!Jw>iOxI8K?(QhDX=tf*DsH_$an8IJ~a7
z$5op`s7IOo&r%+I5}lRx=xhh0dDG(~?%byE;`LwhWj`+5oz*rU!_vcuJtKM+JWXKo
z@$`9LZw_qlE;wN6+Ru>NUBN+pYz)KqUi@oGW5aQ?=#x{~LyRCzB@IqqWAJ`0oFFaC
ziUOH=MTT8#bC^^-kQHbImt*ht=hrb~jMTB$^#<b%QAztZ-ED?YR<Xp(TEK)JECZeP
zRg;X7w+WSTMuxEO>vO-}xK&1=!&MVC-|vilT9E<Qa}0oPoIJlI_>b`>_hUwg@J|M%
z;DG&zr~zE&=jgMa{>%8Uq`=&PWtJf@YI(#xfeu9P#EV^|zl=K5P{S(bc}Btxr`8W_
zbSO4ee322g%wP(C@6jy0!1#EwUC1YTP50_2&&uj9GX@im)R-ABF-%Ef!(D5<lOoYt
z(kQjeNQX@7(WA?ZX&<9r`b8Rqt#)_;EHe}{`i&2@tuWMg7FUJ~(?G7MLvrBOGD9~e
zh|#RXg#QBo0RR6Kmv=bT?;FP*d+)vXIF93-W6#fx)1p*%BBGG2G9o4479tr*R3a)W
zC22_Yd92Jzg(BI>$lm+s_xJNW_jO;_bKUpr{pvEHRouNxh3@A?&x*)v_@g@B#PO2^
z6pn{|FQ!nT^vp*Euemi`A})(*`wvFMsjq7Hq?Q6!`?p^>GQN(x>bJ|6*)yX+7q{3)
zhbYiB8cr*b*u+zPtTSxJSkR4^)>CH|wITM)vmcYD45*r4>bzqf8xpJWapX4E2JYD#
z{Ap|iWMCNaVt*6|YA@h7*?)-)?(20mx#I+Mws2-;F@g)#=j${-?a%@RdFJ|UQ;g_E
zrwP?4hX=iDUiq18papjm1Kp<inUQRBv?DglhjjWq*73U}kSRIQ=dzy#rAJN+>YE85
zcAcWL9|cK3k$-+P`~@o_of&^Yye){{9yg!JNY#X3ul&ycjM$Ol6whq8xG-Au3al`b
z(FFOa?bnz7a3E4r)<Vro5%i1_caQNk5xVY5Ke$%Gg;JGu`<%kXkSiKh_4OnI(Q4wF
z&U+s8@wb>Hr>g{dRep$|Cq;zZ{*!T=<9z5kk7Kl%j}-clqZt-Aq5&$3=ddhw0i-NT
zXH>W?gM!#@?rs010Y{5GNBP19QHph)d&asP`eON>PH55q<fo;@(=CK{@S4A4*sg$z
zFIWt?4r+kTn{ffsQ4yqmm1mKsKoQxSH(8a+5TT+k@WBw57>XfGs(u$&MsbPszXzg;
z(D%`=?d*4P6!i0$Y*M}o5?g%yQiD+w4o<1v>wG7P46LovZd<CM4=ro-sMngnRwMG(
zw_X~lZk7-oX4O%pT+%b%JQ5@q?myQ*FN=oAwylqz6H!_}Zogim1%*XdlLhX{qa`Y0
zSvo~RZK;XO!5Z4I_y9Hoe=4A|Ruj2L=490G)YYTzPXW8X6>=KVN=Q^^-I{ex8^!%v
z*F1TY3Y-xqEE4>ckw?dgI~!jq=&#g&(%0f?P+qvm)QYR1gr3Alg4e0&sZfMORI3i~
zowD}T7E?ohL3TQeCNy*}<biAXPCYnX%;=Tuua4GkO-ZLA8XBsqd@|dw507l?>`O{D
zkmR8b@-cB8r1?0e`c#e~yrys1n*1dqzH5pDJB@XaID@3&c&IUa{r3Iz(uO8tr2om4
zlGQ<He62QV2TWl_U{cIriiDWAO*!|zry)*$VsWB{Igk^D9y&hPLSO6W9r8qJsCLiN
zS7AN?mTd`H$Bf9xx`}uiG^j}AgZc2aNq`&gBv<BR$*5BG5~X!s8`-dr@Yuh#0Q)J1
zqU`fz^x$z}4<Atrb?L^Pr~6sL?B3ba_e{u$hyBLpb`B!i5aat^GiwQ2vxSdco@gN@
zE6MRIrK+gNd4q0nzzQO$4UD2cNl1yw^}+gfB_yEKNZgfa1<{6Qbr@?k(Qj-!_sLIk
zs6C`T^xsn}@ZNhsKRud=9;vaHD!ECZ2794q&U`CK=xXHXVbMTGj$Njh`wF3h2~q|u
zkybDt<yO-Xq=sr{o7j4#xsm@*>0v1yE9jUHK9N<af>LB^+OO0xqLlkAUpqQ1;a2LW
z;TP=6s3x1;nY(NrzaPo)^5zLk2)=1IQ?*ACReJ?T#A^59r6(DB)Hf}lP%>j$FiRfY
z%ziKa4Z|^?<TjU_%N8)>*N{BhFN2z<_oaq=4r0!mF`v!3EFi>NAJ2Isi72;Z)(3p2
zu)!al?Qz!tyiMP(ZoCykB{MeP9u3c785IE~bP<5wh(~EIlfuZ+XRT^(eGxO9Q?zzA
z!5~RBWq+BAAj<5j6i**t#*~)lqgU+AVONp4=b0%!G;UUuKQX_8P1K)ZusUf58+F^X
zx834G<pE-0JNB$%$D&jApU*M{hCS)u8lJMDLwg;<OBGhJl9&dYvU(HHjY~{$QDsIZ
zK31#ASt}Ty<)aTdo5pZO#Uq<@jR6V0z1e`ZE@RuAy9<WRj3Ha4+|}D|4L|Re@tSdL
z3De-ddy;s;2%5=*mpu0@;<`GJ`+0g1TbIAOu=Lpw=$}(dV>)MWrR+aX)Rz{pQ;ojr
z|Ktt9uQIAUxqTdW%BjCQ%&~yE&UbO<M;d^8)njjmfgxOl?J{{-dmg*<&hAQWn?6*O
z680QJy*Rmc%KCQ59M+DHa<Ule!_^n;{hfvF_@IOD=*^Z{EOy%tb?Li$Ah9AUP%GPr
z>m)UPVz8gZvfVkDK6C29<&4R1Hj1S<Z*!8>!14^Hwr1k`=d>>L|L*%RpHqk(?TBQ*
z@^J?9dfj+aXHo~^Tf5ED+p4ie_PfW*%V#i&e3!{<zB({u|8Vl1Obb@A&hT{b`waHm
zXCkhBfCif(W9N;U+OTL(kNYknv)H4jUpoGJ(;$i|>gpWtFYH8jIOn05S&Yu+Bv<&C
z3bc+#U3`RI?E9BseMi1IEV*2Dd?SbouPc`Rb-4FqwJTg<&GmDbd3(=r`!WTd2geH^
zDjdX|=BdJIkLR&E^7?I=cnU<uW$)TII)pto_A;%0vw%ql4f|G0Y;iLnkMlKY1mjdL
zvG}?5FOKrw9H-p1Aui(h4&KNyEYrOOp1CYzZzP-#EL|mo?{<$azt(X~T5tAZ#^egt
z<;7d@|GlcYplMyNJcSt;lXdo$uVD;mdN`I*3-oR{x~BzCV=l|_H<ZgaFwAF0>Ed=0
zxE@S@bnx>G#!|9VJtT?&G~Xu#3U2YvLPR`$jy{KVR37>i@{$1ixxO8?=qG}whuj{^
zAM+Tulyf_u5EF!I|LC9@6G1L=s@EoA5v#My$(6`phQ>Aq7O^Z1SU}q4+dY=C%oW|l
zXXdP6btQI|yr~Z3_jNzrb6>^&47%{|7GeiFiSfag0Ch03zU?KNu#S1Jsh#^M$_Xs(
zk#CRos{u;^vs2N~Cib3Mz3I4z8~C$de2wx{1Hz?agFR*hNV+oRmtMgO)ARICFaN3n
zXW;ajz(Yp3>x<=@zTk&YlYi`Ek*ZMP|L_zWjTr*uea@F?2*PB+otF|Ks_>M||5~h{
z1vE@ayEdwYK!@$s*{Js_AZih5_2VrY%$BQjt6UO+k-ddCFNCT9@90A}al`>*s>U`D
zA_ks16+s(@D!{moG)LySfWN3(IVxTPo-Ew$<>XfZexIPyWKUlBX@h=EwMap^8o##A
zsxo*A*FQ8n&kslQ9^byVTNZMw`JAKIm0`1`_o>{h0I<tRu1lYj2b$Ps<Vi^tkZHcb
zYII2mEX_Dl#%C2^l;C}y?xX@ck~l@`jYS|w_Qm~xOG=>oaeG7KOBHxaQ(*ZkA_lum
zx`rR?sDQY?NPL#LD%gEveHkDw0hd+zIY!o1A$0eu3frP8{M=*LUTq}>zk4s1SoN!e
zlK8Jt^&vHQl^!1Q>ZS~Y=4SOC`Avj9ni)h~NCPx2?~B~vl85m5ht1-nB$#;hNS7m?
z2uYoiwDCg<P;!e!s)u2V>*RsrQ#K?J)#6Z@tx*I^xzk<m5-D(NSL+DPhYax1qR`Al
z8Ky8^5<P_q`4Zo=Uj|d4lw4A-^+5#$4AWTiFVWzrTfv52Hx+{SprrDhYOpkQz^wYP
z4y>i!?|E}h2Mpe>bYrdR@JF!BluJSv>My3{soCoREjC&r*o6qE$9_+I%h81rb^3)^
z2Lm|u!fa`GlP0Wsf0QE)=|Wve;z`;WBk&p7p&X!~1x=j0{22#yp(=(i;Q0p=h=1)j
z<7!I=Y7)o23yHeW8!Fup!fg&8>im@UZPSJ_=VfYPhYoNGe5}{k0GPe#U(2_m4WV=a
z<*a5Jj1PQJDKWEv2Gba9g+c-AZLgl?9izfgmBV4RhL-R=Re$EJF$I3?yk7btQX4p9
zc>=@vt-vKfp~F#(0*b9y+S#6HLTmA^qSx=NK>lCS-UrFrK%M`g<ddle$$@Q)o`!U|
zV*TIqmYZZK)%}%s-cJdpD}@wt|D!{>=!_qOqZSlYG%5*Y%7Vh_oljP>=rAj~%@ICp
zg7c9tJyoAXK{{l}{p%$<coQWCJ_!(EY1fglYEM2$Xxc$av7v*|+ArS~Ep>=_<LMyX
z%m~7!M;j|<tU%jpB2$v83ba=W4xa2&TYK1Giu-~Uj5U?K%U4&15Z}G$wmE#j``N}^
zE10Yx*2ujtPF@jCQk}G`-KOwmjfiJ#(U!32<F~6-Q64TH-dD6xyov|!Z0uy5uz+D|
z{UOm{X=vXUcq~?y5#7n|SiS6N0n}hANtXt3P;ENb(qqhmywCa9?Qa7pihe+N<0b-`
zmY?^z9A-mOL5|#1TY!BU*1VQvK}cV{Y<sbq9dTXxchmnS1_f8IIA_H2!h&mjZP`^0
zbVH!AzUHnu__}rG{Zrup^_Xjn^dSzk(zNmLMX4F^R#xeR>|%zqtM!rB#yQY#OVO6)
z7E?%VaI9o&+Qf3PsdVQL94P0X;8~s(6S&~}i!tTTB4#;O`qVLq1DzUrAZM;+0@1(s
zxdwin!j_e1U;gFgK-Q{%ggzfL2C>??&Pz*!SmvEdvG>L7$n@cqHq$dBXnG(OkhS|e
zwkKq#eUu|R>WwkUrmPu)XO8}Wk54i_8{K_iJ1;wOgvfst`wT(M^-Hg+_;-9hDnHMm
zn+?5WIb$IA!~pbfTu!)F)`!1xzc9D6kqymWye2ZjV*rC0Sw#iHBlvSKTsy0c4cVtn
z+^Y!J2aV;*+|H&++)(jlNe3f4qFdBVSr6#J{h+$%4XZPFg0X|+x;;C3Xm0Ir&`A&0
zT%S`ecg*9lI;~>~jqIqPT<r_~Sr<mXxcq*TxP%`FORKB$<v^N0+RI#aZ_QH!pZKQC
zD(=x6yxB<NM4n{!T){6oU}(9kP2ko#KI@cSfF!w)pK}2E<D>)Jd8fApu`(b|7iX?-
zG;Y*;TjN687T+zH%|BS16Ogg$OD@|89z?NF%a{tM!GyvE%JC>h<nz;V;@J={@>-yp
z?dPEZ4?CYtX9W`y>a?r*Zpn|@WmvgoA5p>k+7amh4i?nzrZAaI6hQtvr+TmKrh+A}
z{-^q*tjIn1j_xf@K|~rkZ`nCVfhQAuHW96C=wJ%{oazoCl;3!k%Ojrx4ac56>~-Nl
zrvsT-BV&Y7x{6Fdj0*)In?B*Wz=;Tg&kv4$6G3DxI#w!70k`jAYL+G3=*I~^;gM}(
z=!@6zVX^1h&?f3;P?NxmNG{2jx_*kILaF~e0(NObM=ysMuN6O1yA;i+dQ}pYOXVBQ
z&yr!sbZxDng8-rpWPWEqB8_UK6L(!IB|~k)&GE4)L1Zpz#CZLXERqecGc}AOgF5Tz
zeBMhT#DB&7bd|Y0@>yaGjSM5ho0n1p@7YBV{av?5s;2^q^jJB>e3lGHhli=LVWMbV
zrYSN0x+0p?HRYbkCqsFlBJ0w!7)noYo8s<NLN$+lvY!1TgLF=~#8j39GA2LpTF_QO
zsiTuZo37fBL;cXz?jVIodJ{hW*HyQC{aESPj5b_+6Y7#jltC#&saHyw)e+;trz@^*
z6u_Oa)Iv!)q-tbQ$ahu)DXZ)KJ@AtPUyfaEMyc{>LqzpX(h?B~+tYre1XF=&XGXkV
zo&s|D9C5BSgoH5k{LPdS4VDfR_FjFfh$8u_cM5iEq4fM2Z^1<x9Q=Jhv1zMse&_V%
zK7DQUVf$G*!l(`$wu&6t*ic4O7c6g(4Jqh$_J+&qnl7xSz4J0qQbj!eMXG8z1>x3$
zQ6z1BXi@G@e!At!6}Pv)Xx#ERt^IMHM`H{iP^jp{CuenZyzZ)}_X#SB{nM}AHDm~V
z@pnwE+%!<`@i27$8Wp{Kmj8Fd%NUjgtz4+Ph)5=1cW*)r6|p}J+wU`G0x`p)^+95q
zNGO)0%gmUH*odq97b46+%vMsPAJ;_N(^!hV5e2z@P9f^8n#0W;sp@eP5{g!J$ubn6
zpe7x|zk&Jy)(f#KgO^AsBr>=9q6ZntpNkB#=>=d*aBYdn+Va8pW#=bWTj#&u@y~=?
zz-FPSf<YJw**ILzywjtB<_wg>7H2HLOTxA{MTCTQ{>@w)*`bEKEY>TO9W0^xnEodD
zoF?j`U3%h@u8brP5B(|4w1oRNpPa?Zh{(JA`y;jv1ym|rebN2BC2$Kr5U;4vKnI9|
z;zsVWDDT~`Z0nDfVAeSr&Ui~5efyA6lDJ0#Jz#7<^tsFu_ARGM__(T}`ibveCv$~S
zM+#@6Sdt~kydiR`GpZt~?D&E+{`@F^(MR$7UP}lc`uXi*wlWGx<Nh<fwTIULw`*gv
zgr`BrZEQ7_&`L$7ZkZ?(vdezp`1P>`XejvZ&Z$s9!zW(hLCLFl#H)3G6&nj6+0N1P
z_sgSPgH!iI24?V{kk5G)g8;W42BdKQkwLo(yd1AE4dX*2&*s)nZ+WH5>t8rs3XQ1g
z=S+2V;#Umh;=XP9{#VYN?3?xC$gcBv)A{g^c<P#NrROdT+J5o*{M(wZSR394F;Sto
zd&!#t>u_^W=T5N+*)5Eyc0ywFRd2Dwx6i8mDlmh)^kV(+eS%2ZV?62Ncn#+A;;|=d
zhbdgu88BD-k013&n7e3O*I_|-k;frHQ;@zcA#uHe2Z<;?`}*^0Ef%~wG*8-Z0?Gnv
ze|s7@(Z_op6`}<Qdso8RkdR>vEjd*i4jSy}&_(B@_}o&g=3|8U@g5_1>Y}&k+s1;B
zPDs<vWEaf!YL>(cvJsTKGOH>#FrghB6Fc1_%J9`|2d^4jFa*2hlM~*X1k~w<5o*(F
zaf{y3a}8Yv&`=c?uzr#O4UKVf@_lT<_YYPT8=4rv!x!!Y4Q3m7u~^tX#pQPVzl>ya
zryPCoEnmKWb!`<t)6f_Fe&26=oxR^;fkhvRr$3JBNUY%F?ib_)`}*+W0P*0d6M9fW
zP5SAw#huudSfZ)&AKdPIVt{<VF35?L7CYH2;ve60mVG}ljJr%md^zf*3*zU^Ic)6~
zaK5^uZPiU<_=<|qV*Y0x@VIAwSv`9mpDQ4^U(=h!t9LteR$A-8l?Yk2OqqH7&PRuM
zCf8{^)wS?PQR9|Z@^yaV`8kK9Q77Yg)ma?v3rX2!O9O}Qh?;k`b9g@6VAy-6dE9qc
zw>`Cu3h~V|stE&gxWZY{Ya#Osc)-`~#SxxVuzh>2m05cpAG_svu5oh-x0clNot&V+
z;E|MLJ`d*csJ|<g)@rNxOX1D-g;)yk2ZZPUw{rovFg&_i6|#==FplLWic(;Y`<GKl
zcoE-r{)Ci!-zNSK&)av{LmSitnE7S6mhd<6x7qh#1XN`A#Pruzj+7TrZj>f1<J;LJ
zXGjkjQQO44|J@EPuy42B+Z?%q`!rc7ozP@P51)KlZ{5nx=4%dB?`Br<JM#j&L%*<~
zy(;FD&rgtmv(ImhaC;p;mlLQ_e}fIV?&r-u+n@<QpdC?9ZQ?!-8uzR&aUkv~&+2py
zO)w4(>w8|!fNZg_;I$ksq+{i8<d;SS-sL=HiD3eAkc;ZE9p*s}uVv&CnTe2CXrKO@
z$b>k5B??T^_z|xIY!=6A05Oc<urHYzeQis9y(?J&4V$G@7qMx8Y{$7ZW)W62`+&;$
ziCqY_vep$}%2o$>aFq15k_}l?V<R;03!|_Zui$gW>Y(x2TB#|M11aCcL$!QF(K1~o
zN_a#Ktg<scZqMdIVpj;;AJ~eczOdy~?m{)lv$pnXY34yOkNl;M9F|17S-vkXMX3Sy
z)j%#yf*%>Ec{)nuNh7P48`6X=pJjQyIg{cifXvD?518@Gp=}>ENhc1efiZPor(2sK
z+BR^*;lxjQRM(`6?}*&;pPF5#Mh*+3h%%$!n580m(SK$1!t<^B8)K@%{Gy1-Q?dJd
ztrBwoJo)WCuR1W<i|tP86GI7-73M#^R8Y!Sm9yjwb$D{?DZT861ahjXj8YKa;*~$=
z-4bgJ$YQ^GCu&v--LoW|^dC@1q@OD8uk?se;G;!W(vwBEV_QU6D~TvS?rJXCT@#{8
z*|<4v<q?ngVpZH@68a`F=VxC}g559NiY?L=kW#-9lkY7u61ql<I1odI=dw)^*M}96
z5Nq0h_Er?6CkjPtmJ~>$niia}QAR#wnZz9wDl+%u4mo;~3LbgK6SUr_AW4RiXVu&^
zRKX-mF#NKW>yEIJerTwnN^eVY))yLLO^q9=KcEXa#)kvMv(?cY;c#zokPdn!Diz|v
zuMgRfm8C)0>ib)vm~pobYS($iS}<V%%HPJ{^gC*ze?7~@e?q!QaxU_Y%D55Kj)c9K
zyGlYOd{ca<Sagw!M=MQ)U<$J99wK%*S}2#Lqj3I_4w{OeIqE8H4z`|}2O6Tu2shJW
zAK9cKBN^Kxd}07|l9&HBNNJ;rr|(+#Fw>Cyt;+NX0SkD{Z*OH8u8k;`3FS8LDQLnp
zo)|iB0kl@nf$0CV(L`Q!(p7&l3f*4tPo&%u`~_NqzME>J{K&WB{tHBeg(-zII&Jx2
z4rid&Lo%XE9af3o${iF!$it>OE10aR<r1jTLTjd+o176!s2$rq^og4errB}HUfCo>
z%nXYg2$VxDgajikRXRM%(wL~%(L`jdT*_#VI67rEWE?I=2g+30zn`}>kYD(vqWlj6
zC~)Yq)BGPR@On^sPOV1`89vUhlxt=~F3j<S&CD(D%UP{H!l{bFc!jPT9$dwDCd!Qx
zb*;c5_1OL_4P~UC6!EV4@gV-^+`K<RmJnfV!H}^-5w#4L>TBjUW0?f|?%h_Fz(H8`
zOAnMsOREacda-frW#NIU<H!QcUrS6YZI?mW4R$hta*No(qioZ!O}2c{?^o&VUlM5M
zi-^2W;5rsw-lNs|8en5;YPC9F6x}J5x0#z^fN0IX{6$;&XSM(DbWgqzDlECXY#G7`
zJx+1&b5CMWD7zr^rkfuTm)_V#I59!f_vQ1`vF6~}pU=eqh#RSx7p&i^X96J-tL2ZI
zW>9mm(cl*sJ4!csF<UXn1l|d08eVTrLI1zf_gURcNU2L=nNY(71H`yK+dn2y1^pg-
zq!~~o2ip_HXeLmO8+)lCVFHphzhvX0mvQ~oPNi;1Cg8G*yYA~~3=Oe`55*&9@r8kt
zvPmV3ps_kK6p>{FHABG(UfTcgffNsy``a18_^G#f<DenX7>m5P@Al(wc2@~m{UHF3
z(=K)E8^V{<PcWKpE518^Bp@}70IB9PBIef&ApZIFj4<Xhoau~!mySIFXrtZ@|BdT|
zPpPcA0;Lk;>J4eWNhE;Cw{z9|_UnU*&@ZvFmR3wT;v9X46amyny^=lN>H#Myrs+U;
z4>t2!jV`7}fXwCtgF)(gFvjnl=D0kFl`*|v@Yzd%;~&EPtZ(VUcN=MMbY}$XAIVdo
zXAr=-u{*3zP#6A@>k0AG<5+z8p{V3#0z3%y6{$(qfv>iz!<@|1*qz0R8$xFpp-^|)
zNR>|qcn&)qDOjGtO1cZ~+?Qv9Q-=aoex=jE@VA$4OWzzeeUdLm>kkvunxB>YAx#5S
zgWr9+H49rZVRW~=i5W7kEYn4{ypQ_#MgGFWCG7o~zZnT_ETBc$)01gJg}1t=_&=ww
zV76Vv6JpG4P>2hq`+cQ=^p6`xvdL>$dG$$VxdZI*&LLJL>o^5!+3pQ++}XeyC(cLa
zw{rkh;wXX6NdY80)MDk$04_40_sqs{L1XxZL8*h<kQGy5XB<y}?BWZZj~sXa?+$O=
z^LWdfgnn?^BSsjUlp?)!<%7hcd(D|FWEi+->~V&d8N6GTE~_;1!<*mDifR5@5bduW
z^emhOLcOB?oMIG&1=*$U#ZD6Bihb#vUt$H0rMb&`E<)hAx9-FfXA*oO&sqoFVh5*5
zlZzgoguzXClD(==6RJFdZ1;L{!ecJCKJFu;pmm0$HTJY7>@n5fJ8aDjZ-+7kJY~h<
z*>O|dU?ol9eEOa%_Yf~wkKGN9+>n50P1irUb`zmQyl(Z>UVhkJwj=2ft2BtPx*hZ?
zCc??d!Jox(0)WdWu8tVU!W-TNHimQ}=v5DYeBL1lG1B`k@3oc(by@8Wp)Kwg4#z|q
z?hpoln<Bf)WCa*yej78sRVP$}=ko8bA~5&sspg3hMR@UaA<SWv2>+Gz%L+t`!64Rr
zl+9Hc-fmNzPqNVjJ;6V+40H*Qon8*T(4zuNC$iI=+cn`zH>8AXNx`czJ|B)PzBYH|
zKOVkDg6|`3&&v#Cz~~rr@<VwI5Dk0G)OuD6#OijpTYJetlk`NPNE;EN+IYE!?~~ym
zpGo+?HhE}~dXyWo^**Kb)sJOX3Wy07-y3CDgy2yQpQRmSkg}6_{N^_WK7{^lQ`)Hn
z18Vb^e$Huw*UwOegbpf<wOq@sOi>2y`$q<uYAN7gdFO}F8Vz*6dYaC3tAJ2rcF4ms
zR5(TX6+FL97j6^>OnuT)1E%vb(R2wK6o$JqJH65a1$zDKou|~Hdg;`4@iZEY?y8MB
zV{HJo9U)Q%Wg1ZISSG64O#?p*-nQfGhVVZC0096043~E}mTefu?Y;NTe(iVI^SNHT
zlB7scM#xAs>>ZWW5K>8`DEWkx5qTaXGb1ybGRj`bNIrkv$8rC4-{*B5=kGipwYuN(
z8Bu_U^mXUK4H8sJ)IG^;(t#*x<x>>1itzeb0{&YE2|U|mW>=o+!DxE^>Z?{Ico^I<
z_S2mNTQPT+egqf*_hm;<vj}Cl=VQd$^N|Q^0c>3<;sBps3eeoyR)(=^lcStp2=IPO
zQN-*Iz%}c*piFfYD3pJ<b`tOq^6O)tcm)|=#_gPYudD*2JiTqA(Ms@{MQ1U|!4Mj?
z-ki)CSBB`4Tg5Ba<e~gY*pSb-A%s-*vh!Fd!w-9|*N-%0Veh60E>+(MstkhM(*l&B
z&k(T){V54GOl*WLe<PTGnp$A#rU*9*s`EmQ9|8vCvr}Qb5tJ7v7vB<B0G@{T+V@2T
zA^+G}&$Lh@IO*j)__st3)?<aYxZJqm*z&`end3$vd0JmXRT>A14YR5Cw^$&EJgD@H
z*$Ad^F7ME285qehk$-ca8Ul{iO>dPNLU7s2*|J_K=+1q$d3NRxVlo+|M`>vYOz&<a
zYRXCi=~9NxdfE&k&_rK^jFI6;hUG1p2yqDd$NeBm^&Jv@jiV;XgA4}D{bv6@i-M)z
zQb@7(Fq&dCl25S$FhxnpSz0Otwi-)UZJ+-_KU3X0wH*NPvyQ{)`xk!j{b*S=rL>A_
z3rbva_=mvI&RLUGK3>rOJy7YUuz~tj&lNu8Mxc>3(Wx|r3v6qvg>9HOQ8dw=RRnJU
zvlNDft|lCC(bo0PZ>B$}(67QW^n^aR<@J9?ZCRi@la_tX;SU;rp_woest0Ft^J#Cy
zF@W%$2|iinKWJXwx7)#my3pv(#+f5b3;F@`MW?ejQJ;%nzkAK-K=j4+#yBP_$XWaJ
zAgT8^+Ru3MlB=u^5M@*xsx$u~=dCV>ZcT2Wr+r-dn0&NB!8={Ex_%q6?fctbH@uE2
zmk+k=RcZkZGELS9{*62)5qsLZ)=+$Edde7!78D%uoWD@KikLMxJiPp66}=<Fx^vP^
z6EI!p>YDNeq|(6uF4w>c8tPc8!BVdQ-_FZ^E*+gg0{k0RvKN<8S=)q{pJX(EH1z3a
z)W=E0(W|br)o}^!xhI?}dq*8AN_e*neTR@v(+++ErbQGno#tfSRs$0;fq;im-AIbu
zn{LmQd35-em%qNJ8t8sLW?MnqgjiD0uS@gHqsiC&NeQE>@aVJ*hug6a$U7TFvRuF%
zYTJV^X|+)Wr~jBw*p|Dab-`lgSNP`8I}K;DhQ5-(&xoVxz3+SUL10o->c%hh!m+)>
zk57=`<tNG;2~zbaW9@GF4*MM1*q*`ltCt82e<%F~E!t4y)A{4P9&>2Hkna9ldm>!o
z9(TO&^A%;Pqc%<WJBJFqaJkSuO@N^ZO%;LNUNms^LCdlBdGrWvaF*UR0yrJFD}Cem
z4K*M5S5P~&fXcq&-S|dLfDBcp;~j5?(TBtqp(dFnluu`*T@H^25>;1A)7%*P<Hc>Z
zuA*hs;P^4$DhCx1*`3_*;+sUDsBL@=__TuZn#VUDxvvbrmrOU`*L+96M+#n9YFI^+
zhz8zOElQw}))%I7eF~+0I_$u>vWB)&C4BwOpae7?6;8=|GpO8)$dw<kf!f`g%$+%=
z2(HmrTf;<uqLn!3B&v_UQNpDJ^T<aE@F?F%K1pN_r8)dr!tVSZ^gM)LD*Gu9&mIh#
z`XCEv`9QDrG2%8_u)jMNXCMzn>H3Ag6PM7!u{4urja@Xwsx@Ngu^g;C?rjl{T|rM$
z8SATG+d~!JwtDmL;-Gy&-SFt>Dypu^LV16FAGK>A3;ykl1O3pPjm1;zsQ>6ynsRGO
zY&ynn<3oom3<e$Q&RyC-Jsyn~#P(2O86`q>x5={5_rli0;q4}BKi~f=H<SiTU}@jW
z|0n~;)H)oFJ=#K>JC`pmTGC;j)5e0nIx<j>Z`tQ4*+B`n1Qe1_Fks=zv9F+38hVCa
z&gAX=MZ?zLe8R^uVS|kq7hfEg22^?8J1S-$)kzc#@BPDq6}YONM`olz{^PKZi8Li9
zc<8RtPA)t45}Z{gZ%RRXWNq-%d@77|?eu_&1t<3V7?aX%ycC@7gU2Q|G?)#8>Dcld
z7iJ(N$Kf$03C4Zm;>?P4nBn*0G`n{^*jW6#@PE0Iz(vqhrN%R0%5P5V)93MF<_^x2
zyaAG6(D&oqJvSz7>~r#DR*L}k<nfICpsge%RO7hL^sr#;uNyCPiVI^lgLPk~j!44W
z)RBS1;p|u$-AyZ%B2jGoMB4Ic8%glTMKl?xablG!zMaf^;+WdpGRy}{LR(PD8NPNd
z%o<-gtBFcr{Gwj_w4WrwaZQ-IF_8y*x)>p<<RXP}3+yoWN=ZSJlDcZ=RX$9BHFC~X
zMh0_oDtmP1y%col_eX`q3Sc*{?5V{w;IM4<u}jhZ(h%SpQvF|@5M~q6{+*vm9=ka5
zcmPa5v%gE+R|Y!53bNj+h+=OQJHJuk6tT^>DPi;ZvM{na+cnjE2-7mlNYp&5j3vz3
z=pMz(LEAA?U0rht>}WxmrNC1>R=Zee#LK7vJ-=6{{Awk!(v45re^v<C?Z4r^Ok^ea
z?e;|pJ0^`WvXC|3v5_#t-L(S#2^HYz;**a0C4()px}M|^Q^jZ+1?X}&3Gj2i;@0JR
zI1CB-rPa-?hH)sHn`)PlAe%iq=DL<VCM9R&*702pYoh<SO@6BeMx!zpqJ|YPh8WLG
z?=W?&impmxW=I3@#KgrIA0_N=lbnCdS9Q!*@qC}Onl=nRrQ^+?RK_&k6+4#osAKu;
zn$PqP{Qr}uwA&YXJm$B`TqPN(j+NkS%^s*3fK%i9yc}TymOAWfY586aldITb6gvy>
z*PF_HH=KYiKPY~*7_W+b`SfSLDxM6Jy9&<D9|%~5?pu42e?;sDP5EKpr-s1tG;YMZ
zhJe)vF@|J`5wJTy$=S)bjKDADg7x_{0`}&=e^xX5idaaRjLW=%G5jgXICEQvfH{>A
zv)u!5Sk{$~Z0)Eqta({7KX<}oJ&T|2hV@Hgx_1tnXVIGgo!+DCLz~K2_Z_>UH+dph
z!hXilF9Ie2j}^TdjFqsSy9?SFfd~5;Q2mN?+Ze9vot$Voqk!!c_cE36Gh*!>&3}E0
zjo}u{omwkXIjnYhA<ZK454!ooeP+qb7(nn)c9M`RhP`l|>ALq8wPI2&d)jOSHS-VC
zJ*TCxGIRG6rs1my(Pr;MfsPTZJR;W2luBUPAE(!=SScXlzlQ%Pat$HI!++ab;t*ze
zX8iNeD_TJF_-|0M8Un`Z;cUtvjO}G6Xnk&Fg#R)Vl(GWIa6KR<>zo`v_Ne2En|2us
zM6yqD#Y_Q2zKb}T63>l27kI=W_lgZT^s;L$>;Q&N=%yMGI53eDQ5GY;>@aNIq53ix
zfj)LKmL6RuOg|_4bf+c<Y=r3HN?#j5hlkTz$O{@w+RTohV8sDep0+A!mHHs0+8o0n
zvybMs-IKX#%mIeG`m4DEdLaGa+OjP5Ci;4dNh(c}173OLqcl`{!2QNc*znmr`rgn;
zt6`2E7@Ai6KWgfN`du5!$3256X=UcQaw0phmsd)32kHRDeCHk76H$ntlz;b#Dm&EY
z2=!mA)rKXZ*D9LA-w--4q(f?%4fYGR9~N_KgMpHVvQh2~lJbN>xu<~*R&Gw_?fGbd
z0j&h@C4m*h^c=3E;UgQwa@}99?$iXjp|jdC-Wy0xv^tGd9~-PYD%J*SX+q^p&9d<M
zEkuw=|2&_c9kOm_)^@$pfLABu2pW`s5ngNc2vRINl$7{nM2l)b{zuJAk6ibWlJ!r~
z_G}#B$khDV?y)*N(c}{KK1vCh#)H4Du5iHMah4~V!s^hT?H^v$O$9ww%AybEIpB<=
zPB+I3HE4LV^26Mc2JF%;Dc^*1!fBQVp|b=vpreQ~pR1>Zx*7R=2{|r!?9SlW(Vz-P
zgnI4!wdf(*)mSEOo(t#}D~D&#tHLL*-l_Q#1{f>eOAT!11{TW#CHH+2P*aL!m#8uU
zUDQ|ibd(2NeztHX<&l6X+e5**ju~VHQZ_Tb@`6N>MNi==5?ngkb!Wwy6`Thj-!<Cj
zgRz$9X(T2RT<iPCDa6MPaV*zLtqu!-L;J<Gv?e0#UAeMFIQXX)`+RJ4u^?n#r*8JV
zLj+~^sYVtzPVnoy`6EVM7&^#BN_GxJXcwmcj`!dKeecfY>2D%%;^&x`j5-lY3)Sb@
z!nlES2zP-hLkzBU&V4TtAi~X&Fg=PK9>}e^B)Fk34yOrEvv=u<AWV}@&=}^0Sg$ny
zXZjLAQW$bRL_>u4neL-ya{S<V^=1}}g(TeZVlJ~|BOdsF=z>+E07$C$SNeKL!Nb2T
z^%QbMV6#9B?@$ZDiN8@@H<P8o;1z>RqBRko?=avqlZD~+W}8&xXBjY4DN=~KM}&Dl
zO==T$QJ4;@HlC!!L32c5)wKyCFo!s?*Ds2}t<wU!o<?$DS6;L9$CL!tVUneT4&u;t
zf#>bgO?kMD9}h`rAc2UN%Y&e!67a)NdizL&0{kkfQ4c$-3VCcT7P@3f(C)vYV7{dY
zbjyJf-Hd9m^`(J$NKXoCcrvLog_OY&i{lmVQ3La|m-?yN(r`aigZi(e3IykP&7CV#
zhZ|0FG1oL?pw_>8QI`P^dzN1eE8l6rKdG6)T@_gnv7YVE!tjt;#CY#wqbB&IH9HT8
z;UFVT-&;b00JCD^_rsU8pl1DTiV~$9I0>jy_mT+^ZGTv@=OE{oWxB0acgey0SkRW5
z0RhgpQBv-D>cWqWe-F6g<e@%+wf7$v0lvJ`-LWargXmxElGPFlpsc@jA|MP8Gyxh?
zX212}`{A0J)PsB%QFW{xA9?WprkDK*$_NBWudj0bRDd<q*ut2o4EX{s7yIP^gtzYh
zm(HRHel4w5rH>UssN!CE%YOiIjQY#(sTJYMETSi0FAw+crk!IrM20Zlse2c`C;&r<
zNQ-L~4$7*%1WUunkm6^(EPhb|%5oH=%^%2s`sazX-g+_^w{7dJ^vOe2I%C8KJ1ID<
zsnQv?PKGtV_GAMQdH7rD;%0kD0;*N<{&mcT(7PRZw9r5f<jj0H=;lRXH}Yms!GUkP
zcy3QM8{(imF442POAr)OE=^PJk^ws%$@$?xfAce@3$ZkOP=BhqN~E6*$Yt({eg+v(
zxiK_Cm&OHi-%=HGpOYcJX=pZfKnjjre!RZS%MS12c5)n@$k68W@=ATSBowxIxI6VQ
z0(seBe~*U@_q7^jIJ_i4BjZRlj}tA#YReSt)dGyvx_KCAi9<I&9_@NZ2~muy(hocV
zvZZE`CNVMai<cjt4B102av8pU!U_-{wwjqUEevsiho0RT-9m~*6f((<2neXxc&oJv
zLTdJ{S2iBMk=^gxs~?{mz|}HGYNU%F$~dZpul`;`I$b8t#7ybKmQ_Ze=?*W%jVIGz
zcUnar239<!lGlgI;!wq^!#waUcluNG?G?nGBhg>aPY?1|mThEFE?|sra^$yIK`MX5
z#!r9L1?I~;FKy0p!h{K3n|sO%qNL=y<IkuI8iBV3V}&>%eaiiWpXn-cRQfxQwu24~
zA<t&^{<1=D-oWm!6Ke>*&6)LVsWt?}|H3CRvOwtF+-bVJb)@IPU#cZGZE$Z(d3^jd
z6R3}N$tY?3MsmdLb9XOmfylT>YteTG(Ac_!%iP*T*r<DFqIxvJriAkn?Q44IY)EyI
zo!LTmSkol~^)#V4r#htK1s%9L*)g_l?;!o;4?O+(8W16wHFdh17RJ0X%Yq1d2o5K^
zktVDGnpsOh1q511RM`ori`z$h@A<71C#%Eb{VL|#DjFClY2>!1qy(ZQyO}hLIy5BS
zdh^?l2CT*YFugiX1&Gs(z-odT7~l4PxqFNTLb5uKh80u8NxKj+Q8qOoI1X`)S<wK~
z+*+uk3@vyWQdpO!sX{0FQ#Yz08VKz634~%guwgCFZjev~;k=fIa&<Itr8H*P^&|rX
zPYx7&ydwdfqP>Kd3N6IvUzt3|$pix0nT<7OB%qx*c}%OC7A6Aes3;bhq3JCB*QH4!
z6jc8mJL63U4^vor?0>O>ul7W)LNpP4Mw9J->e55?{B+$g4F~W|eYsX7Lj;nD%({gN
z1FYz}5gOz;LA9vDuc?y&mLW>)`bLakEPA^}-GvK^IBZ+nA_*|w@%n06C=;Atdlbr6
z$_**GNu#nF1V|tB`MmRu8QTAKSZj##f|n)PuW$wrS*ZH)1P4~g_ms^_&*1|(h2++8
zUp#nIs@xZ4V28=Y(v!R<0+2O(gPP2UhgZ?jxgD1|;P;*E-EcY~2z;m`eDS>syfz=y
zP4eXgqEo|%ke|Zfalz}W+%*+2U@@w)zs&`WG0BAB1yLA}t$g>=Oa+28cZO}sx#4Ps
zPE!-3I0)=;_L-@vK<^N{{~ZcmkW-9^QNl|=Y3sv+9$gh+t(di-a^(Yp(nDr9cS&%t
z7ZP%DR)IkN(Zu`T`9V(zd$jjf3P|&PneMMu;DbRhaU@I-<evnkZ_vxY5`Em>8y-A-
z=6SNBsVWTD7sQLxd}V<lygbU}4IW%}gO+a5iUNr<oX6@14uVfv3)LU!*2g@;E4VHO
zv4guO;~ft;l|QC%se}MS_LcPHaB(oz+Y|F0SAfZ5IGZD8MBwZ)ZupQS0TW-S=i3~V
zV8WC2tJ4k<y1TP+q&!JzWQ;g5)u{}ctv)9lzmTB$+mF!GO;Yf}d``v<kB9qH<^`8(
zRKeJ`U5IH>8v3k6aT;0#@Eo@!&337Q*wY9{M{Zd#jz2zUUr&IKT!|r~)EW>sV<?iU
zjsyOLPU{#F5h$hZ57V5~gtp<LO?FE;peYL88;l?V1)`_5S*-;;1IP73Y~_LFeAn^j
z=S1)~9?1>U)qw#l5kF<70OL*{>VngVa3@u<$f!vdUOe){GYc!ih3Y>Hfi^^l9w#l5
zPV0k6vxD`!W<}6sljJ0iAMBqmy;JRk0f-gY>aZVCg8gmbp*|7;{I1yz9@IPFJ!P9o
zeyjwI^zX!(^HiW*>d1P);K4m#kz`AW61<eJWus110?rp)&QGqAp-1E5`rLgb7|<wj
zCdeqjYSBQVzyWuzMXTg*sVl+9-hy%@9tZAMz4(()8$xA=PqI&rA`CXW-8JrzhU<-X
zGyKmCAwNljb97JvM!2KBx|k(F<4k$O(MCg{ajFn{KPeA!Vh>W}ip5||Dy<g28UpL{
zN6!7291IZzlAk9D!i|J``Np+|P<JY;MmiD)nhMcqTpJJky5f5#;jtm?y(;7QD=iE4
zp-+lW-QWPtEql|pbB2)fHFe<QM`>s{8c0bS$_Q<^{u_&&hA<{X2)8qr0;RySkxNw6
zuoM+hT~SGfsb=eGo<0c(vsaYM!S5oCa`d%Xc4X+i)){4ZQ5<@$W?$^vtRV|Ti?FO!
zfOL^B$|o7bfbW6-;r@&nq-vvzf_NJs=E^?}Dkou>&6-&5NFG33l!mR22m=^C+zeY8
z7Jw)tC68v!8pL1AU%&f20+eii4(U;RU_Oz1RLZsxO`u^iF^xBXbzbszy%i6*8rx1E
zZ~BZ5Ts|ayrCcBA6xy2mk8!~*wM%IFf9>edGc3bmP7fMqqm^iaI6%swEm{-Tg_=KS
ze|Sk!53=&CPDp36LS!^yA-1IheXo#CCG4aNBVL`s64^`;#!wMI!q$pzJpW>M`GpQ_
zS#0t1|E7m+I>B}KnL4z|s*~P+K^rLe1d2S;X(3!eIOO7VDSB=m=a1=V!?}@$E|weA
z0FJ5Rx5`}*r^tchSMO?pSy4$*V-Y3z2Cntx50@bc{)Kx6vznkWcD(VVFa@mKrmqW9
zXhI-@y?@<U6VAWWmlTWKLrkWEwDw<qMegOb)jA&Zoi1r;;X9Z|TP`Iov1b6WSKp~T
z#iju@Pd*e{=x-zcMm!v^@s1(&*C6(FusXa-ZBbHq{s(y@VqNr<^c_)c>RMC#r3TU`
z_nN+0Zz93eY~zB?(}<k-^3Z^T8cbWO2OmEA8}Xp<Jl~!E6S;raclv6tD!f~z)zFOH
zK<4z1ZSM`vBjy)GPs|@zg=R-4Ihn0>gjS-7bVz9#d9a#MCf|9GtI_q*Gdb%BA$*=|
z>hLOJG7>r<Xib8OSoMf+5$lL=QaeRC^Ex6p;t=uX8xev=r@QPD){%_c#qrYP8%V+U
zt!wQrL>Rt$yw#v?9jS59uRGMdiD*|d#s#hr0N-jV^gwz8;i%_GS!mrtj?fHOWJeQV
z*LhKTvuFbu^`G+=UD!eN+Z?=&`3T^!<WZD!;Wsi`x+k7`!1v26!U^>bc<BFe+5a4}
ziC8^(;&L-{AE|#8Lf%SIf$ZlGTCW@ZK^7ek;}8)_IIpu{uGy^&4qf{8ReoDYr%-73
zhZrij86LTn!LJO>XKi?HHg6;G??m`dFwlTA6HkPts}lI~?J4D2>>{>%$nv#9TBtpl
z%y6qh5h}Ds41M<hBDcSO$fyaRhd!6{u8BN~khJ#Ir|`!=#Cvs0f!l)-D(IJmtAi9E
zuK#KB*$4_yyy_VC_$D*lH+CT1otB4xZ(HpYUQxms!%eHY9#+_TCY_vWFAoC*wVS?6
zRNy>%&-<k!2bjCyOk#)SKsI%xD$SM#T+`0{eU!invMZ<ab=>9P6UB>jN59j;-Bov8
zS4M8oN?Uu@@D~SIzIQ-$Dm@(iL$GLl!vmkrTdcWf<KW_5=citNi~vE}b9q<zpl`;J
z{<Sp@Y&R~c1O+og=J{I9?@j_Bq98bNmKO&s*k=u!QdW?frPg-}6$0BHzwm-NS-43-
zPr1y&0h?b(!++I_fVKB#q*9+Oa0kB6jCbXPx)`%!CjCQ@kr0PY56D7G7DIeYKNl?6
z-+p#|Lmb3QO)M{L%7U;n_0dTW9=KC4v=Hkm2?A!Pw(8Yz(31J^&V5ln=#>%@rCyc-
z%I^zJpVM(5<#s0F_$EJmr7;UlPmzI-xl?C4q~$=($+j_RLlB(44qRY9frI?+^5OYO
zIT+a2$<P-R0W$N)K`I$}_+`T4)OyfE#s`=s-?)lFSeJ<L8)ijlIeTL)on8^h;wvBc
zyv5;$RKlgR`$~}X?Ralz!~utQG=?`mNPx)1seH{X75ICf#c9S+1*pzUbZK!)LCzEZ
zCv*M;*cx%hyD1YuZsJpeT8K0(ZGOMu?@oj;MTeKd2PZ#YZYuYp3{YLTVf)yG1Y?=i
z1)l9BFuGpc`JXEe3ha>|b&RTDu4eJ??gce)kt!v*4#`15P_2r}YgKrxR%D+gs{w(b
zj3Q#D3gFW#DCf$n235$e%N(Z`?2A2`Ir&TxJV+EK6sBr0^;0rDTvP{0Dt=Se-<04_
zRi8&SUJa}sGZs$j>%l#Wisr(f%0Msdh7`A|g6Vsbv5u<&SPrS|PS&dc|BSTpQ!Z7w
zjRt01K>$uAMgAw}h=-$t_*z;960F@@2|K1whSp&r7N-(CoDz6(Wulk>V=Eocxg-st
z`9WmvQYjv8^F&VZ6IFmXq^Tn?Z3sTZVYl!Lco-=OmgIh>0QoPkpHGW4f{VJ<suwX8
z*y1jq-s+HrDmL_$&7u*=B(*CvcPPW?wwRg6f+U>Id&tkNYz#dH2Le1)f=an*>j<3#
zj!FOUa|2_bJ!wDIA+87^CD|-ebo?-ww)@IT(HH`Um$)ZF<RJ=;Rgd!Jfc0($h2(W3
zIA%rT;!=Wxr;hUSc|=-xG`ZK(k!1w$CF{yheU$;pMFR7J#ev^E7cLmlFoJ;6F#h=&
zDOea$)gNc?N6x+bzAcU#f_uirF^WA2D5I~PB5O~eM?T5;5)2H%<DHISy@)ti(z_>D
z53Zq0X~StxE6BiB$5<tjAp!*qyvN&^cG17D9=p#I$uRQC7Mqe6gn?(57(;JUU<_YN
z9SaWncsMKbeEuRYa1#oZ5_71q*tg`YbOnF}zp~3_^ITxkU%0JIO@lS=&;N@#g8+XH
zJC~>o2L#>ZPf7nugEfz5R|H)&fS%Eq7#2-t2v=VHGfAMuYTb(ug+%JZSaq9v+7miR
z#^r4+7|>#EzmmQMKi7kj&w6)h{iuLe5OK-mp~YOia+XBebwTo859yQh9ughJCvV+I
zgU#-h(2Y^*LjD~?cj|&oq(8}Z^NK4CCi4+@Oa{>bmw(<XM+#PuI_<R&|8}Xd$?wj`
z?P9gTaTLeWlrw{*9HI7-N~gxU|0y;9=+Xj;;OaO$VF)?;aZaO5pBnR`h!!MEYXM&@
z=ff}7bx7FS=N|>Xsj#w~BfVSUnjp6Oe0C72K($+wmBZ?(FuM5bXJ3qJfUQhkep_V^
zS{XMQ8Tf_@^O~qW|I<(dre2i}OVUrE{{sL3|Nj)1cRbbKAIE(u*_&%~jcZ)nb#0$F
zLWMMlY(<5JLP$~xp`lVCg^)cm3aR@}TZBlFM8nD`d)CkI-}iYu&f~n#d7szo`8t-I
zXv15|jDC&#-bR(`!J>yyOI!9&#y7gwZh;nNoNZYRq)6!j5m$3a;N>VIZd=QAA14cL
zJmGu2;tCB$mS(~vlO`D)pJTd{0$7lg&ii|Yg9dr|(Y(qmQw&N@M>qQ@3$iFhg?~7&
z3*B)itjiT=7**@@S%{={Sgp!nm~iTXz=|`)kUqy?64ARP>98IhcC;Unx~c=GnHMBA
zOcxkOb2Gdv=&X3<uZqwyDIMULTH^7sSYq_O&|K27+<-xUa}-TWwIRk{_Z7u{h0)72
z>LPHQ4Fk&BToTN+!K7w#^`P%x#)_Vq%TgOVUYm~A2<XuQA;<4F2W*(I_yvCLapJ@y
z1yQe7!n8oZ(0B80|NpQ#=zz!=D>sI<j;$UL*8+xV9t-6bGtz#W6ju!L;O=VO<QFlT
zaEG;K`s-H~bZimeU5@0#XOev#&R;Yjtxu@<y3u-+i5~JDxx<fX4yWg+78+oD+u{B0
zGFEg+-j~((MF7oi@4v=gr4D(G&cmC`*l=UfR`rucLMVH)-SC^1I@D&noxM2Dj+UQ_
z<69pHqh{@)=N}u?fGwt^VGn~7b<W&7`Ph+!dUWkrOBXdL4tyFS^pG2K9=>EU5fQ_d
zrw8H5IyG<%eEnkOBQM7JJS*2-6-Q%-3j@l}sgT?#&%+Sl$KQ0jkN%ue=*xDyz9y9l
zZF<bHC$|gWsY8=>do5&egH`&{pL0}5zhdFvS15=tuhX7owaa2q-Dvx}Br34ZE!Txh
z31f>wR;dk14#ldBLkcUXpjsi)*H9{glgbf0)*q9{a*K~Ix6M;wTEKSjr<*8>R!%Fb
z4=7-;;x66|zG~q4fkOSNERMV>(hlx>DcEW3;1#v31_1$&f)s=$QP_j#Z!@Qam95oH
zFB;Xs{i@2BbXjTSWwf@QxuJr|*L)uvFf_m-^|zL`qAb>jlt%zT#eiT*sm*hmz>)lA
z&|wo9y?$32OOC1`d+2V+exL<)Dk09Y;c{5JB>b%Vk_HBd)54FZXhWdL_zRCpdHgxE
z-ad<83*+nW>`l0#1IDBDfZ=HcoDAk3jcd_DN6r(o(~ot*>GIa}LIVoUOuU(A3(-b>
z-;ILB9D1;sI%jw~QVHK&=00P!s*Rq8-uEOU>5xo&rf&Q|8QC+ZLw|bfplE02u2xP1
zfDiGO1p_L`-Y$AS?S>9U1ufqacxVU?=X~Eio>j$1QQkw1YxNXmefIYu#t?JpdD{08
zDmrL|-7s|1!N7s$z$_zE81G#Qcdt=HZovsExnCRiomsuXwPFT-w|Vb0JE$XhlFd0^
zK^w2fX$R#x0XU>u7rei(j-PYKLK3N3cwKT3d8N#u()RAwoDb^wN^_6q`8joLNSXY6
zvBew~iR(ev9;#zTeRJ;_V=C(PKDO}ku>d>!!hy(L>e%?POmH)yjMS!kTdg}SVAbB-
zeXvRmD=#~BdrK?gw4TQBH+f4qo@8#g+(E@7i9r>!vt%s${7<37!4h7N1}$knR>db?
zhm6Y`rSQtjV>_?!wuCN+$CYhiDmbj|9@I2R!jcBg3ED<WNDt0&vFBDsH7@N^=bHkU
zojVcvLC_NFME2jh7f-=Yjb9#b&*8+)8+gTZS}cIXQ~vAKZw2HUW;siBX2Hd5U3E&R
z1q2s`ZrZRz9(ii3_Qqu{Fh1|`x@pg60Vjp`_dc&8<Gqnv?J^vrjEs=QUyXOoVavwb
z<{DD6I9zv-e=((nA?B=<v#e<jS#!r{H!4eE!Fyg&#~aOrc|_#7$MpaiXLelnF%n1R
z=#$qZB)$=zm6InZRshx)uIKIwBcYR=<kr(HqeSM5q^#&{0#Z7vi!Xi`LSBw#Hlsb0
zM9b-fYW2rvP|hP)a`ub>stsIH+UN3zI47I3ue8q;VvcBD64}9r?9(K+G4&}T-<it^
zSxo_QyaO18T=@6yh2<&lDWZn^aeITF32eTVWIe*ij?pnr>G#E^2=DSIC&~kj;elPk
zdG`<NQTFSs#r=ps#HDMmtU?Qnz{xeC{^=iP^oogE*_ZK~D3oD-|L&I|ysuG|CV4Yq
zprhPki{>QpZT(x>!+M6WM>^v9vhE5)`o4XM>GBv+`8R*y-#G*Dm3bO9p}oK`n(R6v
z_+XT1`L@$fyGI{B*}G0tN@p1L8=O9tg$xs#xt?;>G=0dBn0up=_J=WWqN{nG^&m0X
z{WG3Op~LT_40rj?amK?;szyHT2T{oDRDNYa4?fKXR{5xmFp?dY=><052uu2Qmm@xU
zz`k`$=N74-3@<OXXKpe5L}IvbWX?Mp^s~*^z04S3bRIbMbgJVEvGZzZ-d}<S1~;BS
zkJ=Z8M^KiM)j|(3w6AF6t{PoXaM7kL&wOMw=XHi>ANxeu^DX_3(a?q7!^wHKLpvCA
zJn^$`&_$#_Re9xGtOExXr)T<ATN%vEtFE;kodo;8m=B+*I#7JU&Hqc}Yeq-`<Js<)
z?+IZy`#X*0+HlvuY{c$CBg5c8<*BsLcEV(XTsf=0Hn6?xkDfpDh#?*ij&Jt05#P@G
z+a^8Lf?A`x@BNP}8LUmW=}oGw#0vj$B?AX7C}Qs1_`~)d<78>*(4nOkB7pz&-Z6$I
zbhcgkH`aZHaonP6VSv^`yn2+<>N%tVGa1T@KXb!~M^n36qdJ<2u05*<ZVPF^^}J(T
z<{NJjQbX)LciWnYmola$(KhNJl;)GR;FeDiOdMfNN-czZU~o!bv>JR(-fI=CUO^-s
zqbFbd&_b*fH=j&-OoeJe{`u4c)kJmTW$A*C?}#THk?c`SRG6#MO6v)&B}%eM>QN$V
zeOXnBgl<xW;cnq82mBid*Rv95o{zQ>?g^JlT(7IZgV{2t_o_&QT+E&{8)+v9*f7sE
zqzoZ--`71;Y$SF#Zmt#*>>v{KE}0)RRR$cFU4KITIl(p~FV7OtNwkYh&F)TB0#2jY
z2NyQKBr^F0bG?3lATndm->IFaz_m>Wqg>9sCX~2!lq3s363#}ozXIJTAW_$Rl+xQo
zl<M(pYPs1>aB%57c6p`<&kptfXYbQO6x=FtsKn2NQKplopQa*I=04+6=4vB&7PnY1
zl=}#kf}qmyOa*X!L03P0uASf%J8`u$pr0^%#$Z1wr~s+Md~?lG9R#!2znx2i1BA#+
zmyF#>@{q-HtLkWPCvkM)Z)MDd??i`naKI|7JcNclD5bpUBGkXh%-;6;NyMl0J3Gb6
zfv#<682gt`MEW{Kw-w(ZLi)vw?{;=MIHy_3UZ(PyNUYgp{xf@oaGxw*{(hMZ|8`S{
zwC;Z)I-zbAB*%!sP0<d_;$&Dqmb6jPw4dNB`jJ`GGeI09t9Rz+%R(Y9spz~MAd2`7
zyP8k^CLC|pw7oKrg-*YWqK{$U3Bi-y;>_7oMAS_l)lca%aN$)^?44adiQ3No0rgWe
z#8gj3wdPxCFf*AoxwwCbn7dI}*neq`2zvNmMLDxHw1(gKNv{|o7T>68Hho$kta!S$
z&zMU=BE7)#Eq#m_d+WQ)bk8y&{^T$8$4kN~mlqr=%#*~0*mGT=^OrD^H2WsgB?0#o
zHVZ6p{UO@!dSBXBzy#G&_QK_A5<sdB`D*)Yim2^3&irpLGZ<!d&P!hqhjlLHMvVnC
zgtOJu?iKrW;JI>Xo9e6>9HM;pN^YDZP9`^1B^+i2iyH0sPY#H|(hh&`NRdV209>s)
z*~A9=Ic=eA!=jM<rZVei(J~Q`b}_~H04E3sT=$F)5rw1Y%L;qr{t|=3i9xTn^1vs0
zRr3O`D0Fsv9uw?lg4gM<O8Oi5;3{`o{i6mFJpNX&y&#<#3eVjusYw(7^4ISjX;CDg
zQwpDdzOW8v3j@-&#|Xh>TtpoAE)s}T8^^t=W`)hkTFd_TMZn5FYR+Q|2|NX@#8yb`
zAR@h4Z(K|avTV0sf8#|0FGs)s0vkBtC<ot(Ur!~VFuZT}VFn2@jD~Lp7w~|93)8}}
zGHJ-C=a8q_MBz(fmVn<MJ~*cp>#RN{3v7zOGh8YP`?zQVT6F^8qE{ubTqOseROt0%
zH^d;-V|#~Gxe&ab-yY<2M*+Urq*tDA7ymy;x!vv(fq>tdIhvIe=x;sFRewkl4%hSQ
z_UVX$W88s{?vu*k2Y>q2PD#T-U9}A<FD0NyLu0F;BNc{MPX186APc_SlC->Q(h&P7
zE7hS_9kOEx6E#&ia9yrq^KOxa=fgpHNuUK%EVZ`w6a|PLzWKuckR0sxU;VG`mNvwR
zd!`?}M1h~;uH7_c1(1%q6hm9k0qLXPgKdITK-uAKeDIPYl$;(N)3&97>ux7;<4<bv
z-)j@S-aaMp+02gW@p|CzsCkyLUkkMOZp1!qQGuB9h}9#v=n!BlSTIte0}tX2-5VOH
zuySnhV0?%^2%MBW;$^4@@*HyI(Rb8gdw}A3+f{w=^Uu$BT5kXx>1U>=_h>@oSrd&+
zSp(SP8_-2(HU^dqg@e73S`Z)GFg5d5AGECDEsMArw7;79eMLbV297>zcAcU_{n0n6
z12+K#3R8u@W@|&<)=uSw%X*OUAeEzZjc4f3ioWyz(grzK-FLc0x<JpK=RNFa2?C9U
z=gur@gK(K|YOA9*>^*q4^myz>;7fdHeB_NbM6{8^&bz2XckTYB;=NW7ZF&0NO;>I3
zWtVT0EmVRelFzj3f)(7K@Hx7(LJO{t--k*LlVPsq!9^JhYY0z^vpIZM6O6+Dk%sF;
zL1iUwD9g$k<U{FQc^A|nW_mtTeFHaaW&iJy9hWsQW>Z4;(5O(BHqkXZJ4^6X)I^8h
zwE|UwMJc0P88~Dr<i~;r7+dA69tR3rK~z8YK`%iHlv#Fl?;2;qoeC0TkB@GIT$2`=
zuw(L&P#@sH^qB+8R@1$q(GmnB!Ywj;WnuDi<)={^KSn>avN^$P3GOX#6Am;;0#C1q
zrPzWX79IZlF5Sxll3xAmI>#gmd!|yupZ*ZWV}ELNYaf_{<eOdZ3a$vkV!!mKRtgCt
zx9o_bk<3A-KEdzOI1k*3Ykt-LlZ2mBqKj3}0{k|hH{1JdfamLXaEfmfMc;?7*5yqS
zz)Sm5o0Gr<uNFUz{_zmSTSaz6-lQ3Xf4TRrq;Q7tZH#g{w?z~aWW>5wnazOf=Q2fU
z{u{9~hP6;rQWPKmkQe1pHU%y52Uo}svKg}WQSY`4kZ|$h4?Q6d6R50YmK+fI&Uo0y
zYu24h!o>e1<W6K61Dji^v|;KW21~|Fg~kyQ_H~`NZTxKnCZW&nw7y$ls0S*RowO!l
zsh6L7o}Ce_HVrBs+x(AFz-PI#Nt1*kc2g64Rfgbt#kjgCnHkL)nz8THNcipb3O7aG
z5W3}jKPc(1$D_@cY;4U*c&5(qxL$?<boq6Ycjj!sx!)C9W`{{Q+2`@CUdjNJJ(~Sa
zd}YVuya^X?R+G?X--4z~zCKiL(m5(P%ZVeC#s~U@L@{YLzq8FiA2?b&A{b-bc=3<H
zGrP;8I63#LfBkzpXk2oBv*R5vUfU^R`9od|Ga731r;gD<$#3M;kv2Z;Fg<<l<a;r6
zDE-b}BteHZmVM@4HT)Q}peWp&E{+~IUOPE9>p{JpuUK2E09M<QTMnL-z>*^`@2bb@
zLE{a7#m!NI7-oD%wD-6qs<BNZp0n122iKdJS^b32X^MP1EI|r=<{HU$e0tzS>MvT_
zE{uCe7B3yIlE%wgq;)1g)^uf;x=NRo2zI`;nfW>`gCnCP*NabS(Bby{FN*~UA4xHD
zFmh$Fx>_sSxR3^7ubKHvY(!Dc+4bK3-DI2;_Tc??iv~>llR57@i=ny0(6%KJIrKK(
z;6X{J!A^(U%B9D|@y0cAx<juVN@%G(smY~*qXxJ4c&Y?8)}8*boG*{>=LcJ%fd;eX
zzjy<iB(X1=+P*1V0mr%H%#IJxprYim&2v_1^v;U~C0j)d<1iUr7Se<JYym4e_A+Q4
zKI5(|O~Jgv<=y+7_2BendXxE9S!AWYK6!kCg5i8m-8BmJpzx|vdF-Mrc3zHp-(IVP
z6YW`Dxg2x|pN9d5d@>qkh0I=wP{wbprw4wl<>hzMeK%}&t>yG{74J*cR8VEFXU_8#
zI%rKPguYuRk4}!%8*f`w@bDsc?28Nf5XY&J%XD8JpE-t&?RHT`=`R;vucI13Z&c*V
zhb{`JaNywis#mHQr77Q~-emy$Z(1c?SyVvUUTz_K5*1BJyn{zB7{Y%>q2Wu(irBB#
zl|E)c#hKS~{o%GoFywZ9hp8k551b7bAGW5VT+^1VVSL6go86&%GnIn$YJac&vQ+Ge
zo?BJ;WDM8pRsT4!C}I51hhK79RIyWKzsu)4CLm-hH~3+<60Wa(A}hOf4QO?}uH5%F
zg?4k3s?TXkDBE&^t?jM~)|TAQ%n>t#FRBKAL!T<)zrmh6)OX5A>(?t{yfB0QiMDZi
zs}gRvD_T<OR6^Zg_I<m22<UpA$86Q8gigv44np-5-2CAipXvw!|Jjh`1Jjkztg$H7
zJx&oTSS#yn)d6-qw9}DwQNsDZnpJdAzyp*mem%PZpvm1Xc7=lbz6)M4pOizLLY}wx
zBLMc82bZ`eP>?M%{g=!wGUkfQOch=Lcwfb>I>to7;D%BeQCnG*JFpE`uCDD9c6a@}
zpCWpH0>2neX*_#bHNog2z>P{~>!e2tc-UNY=f!LZlv`I#H#!NBpb;SdYn=lA;V*h0
z<|Bro4_Q`OeE_C!8H@y2$>S;SiBj?o5}Nluh;K0gSo~+;v-7kZ9zEpOsuV7a6RLY`
zoA>}u>|)>jx|WPSGIC_TE<tSC+vXqAK!AMYb(88pvZ&OsVt?VF0B#nE?9Z?xz=G_i
zQKv486IWaIHyQC`OXL{0O{W>uPlxe2^hsmb&C3Z*W_;N2-+TWsCo}lB^K9nS5h={K
zIa%TRiwB>K`%5gen?g&&vyL1=Ni+{MDblIs#^0vi@11Q;p=5ne2y?SI>f-#D>%Ck^
zas9_K)@TB%Od*8=x5V(5wRZ2~HZGJcz8L($&;;xbj`rD}6-AI+XEwvlg?$n<A=dlG
zz`3~CRCtzzTcpC7&v9{~ba}@)8x>>Fky+>RBtrzx*I>M<H5ZP>dZn4?7y(&tDd}08
zFiMY8HTKnTVY^7dwbL?2pvdv%L5Z|5`pcF*V|L=kcWL7tC+-+RZPN2VdYllNe5U7q
zmgT|ILgGW$WewrVvCf$pRw2w0zCw-==Ec#ntZ~(Q1`wD2UBo9#5RDbW)wxCaa8P$(
zZ=$9F<XP<!{=Quhk^7L0<3m2&d7RthUxPlB<QFe}78gX-qju{%_VeRjC2y<uTlHa8
zs!+dlNdP@E?o0Ej2%v^AnA`rOLx==#)sx?A^_@;TTGrMBkJOk}pQgi$+hO}-Rs>LK
z*!s`kUO{BND)-!#Ob7LO_tKM6f=IR?+cvfep|>GR)|FR!z`9ex-ejjBO6#5Hb?jK1
z6T@Dg%3wX{Y34cVcUusXoBI4%hea^*bKy&AiXP1WsZ1zY7R0K5p(%8pHJ=S;*<kUN
z1`8gE+Fgf)@Jj{zItyzt)O`1v>uM$q`WLPX*GvoHq_^DO6UpM3PwY)d-cN(Cdn3M4
zE(&8skXXLxxCHjx*)s4}p9Z?;c{TZrMDUDH**y(+DGbp*{P`;%4OF{dIXf?jp!{ek
z_suWT_+gvTO6asMe2lzd*w;cr!?NbuqXx2A@l)}jRlhE{Cta*PQ7wvls~u>$9AuOd
z=QS7jqzj6ol)vMpVwkXc_3g7CWR#H(TPXgl3w9s+JbUWIQES`O)UOwEn8$W_X!MsZ
z4Brp<`tYL!PA<QeA1ska^4?PS5_TH2N|k%RVwJ)&vdf5Mssg%XhfrJeXi()jn7qzf
z8jEjpYG003M5oMMj&et7@J3*&UnE5aV|QjgdVY+8Mpw!4N7nr1MzZ-#R+udA6B+1v
z?yiLC_eVCniR!Jrm(zHWDj6S*axC+KGUimRR(P-Z>`2GJ@wNdnl8>jo$Q4z=Q`<-{
zpRmw@&7S?}(OYsDb|GqLbwC9#tNE_qca09cA9Q){I?3Z)!{Idbo2r=Gbg$-zu0A{x
z+_GMUM**+x*Xo<qp<=faWyj7R`ru)+>T;%00b6Q(eomKDQP}6}LyH^(c$I3C*MCG2
z2mF&cKe4Hy^SF&s*<nM-;r;i@LXd*CHqFsR25NYamrG>E(g-ReNnw$N6fAxkUn^#;
zhT@0rH+9JvL)IYAsJ*5V8a6z9+QOxVL&A@4Cj2#qcbXB3iP=h6yX%QZT`?7NKkm5s
z=CcVT`#3ggtSaHimQ)|_H9z{it*4Tu$`l@-X}7&dC}V1<sSL+<Rb;r{=8B6pgJ{|2
zoWuK+(W%Yy^hY-pWJKO6turBDCRZ(x7Nm?So3gtem?&d$SVWH3AOQyUza3`Wl+j8}
z)KGVcf=9}X+x*t_)4`<eSfYwDuEq%eCTA#OFPvRS3<n5)@7a;nt%P=Yx2Sql1@yAC
zE6=<KaQK7hi=snH2>K^iPgTfaeV<A``6WQeL|#Sb5C!jcDy06QkuiSPMjy_P08{I$
zZjWrC;GRT5zm799m~oS+Y3c^}n{39Uovw(2DWz9#J(R@EfhumTR)Cy065njP70`;B
zoqd%gj=VEcjV`qS>Y|=y3!Dmg>+Iu0_QfRJ*m=wJ<_&<*p~QPaba~X)Q}}){LKqWG
z>cZRt*X%3CCt|ys9QF-fF7=HQ#K_HFFV-*<GJaTAsYR2~ao%Mzyn`RdpAXigudLl$
zk^9VtHQwrc9lzy(Hy_rHvuuewML^KZZ)3P4gI(LSuKDib!94>>{~cQ}18Yr9#VICf
z<hvj9e3K6s62FQ*Bpft@jvvRv-i1oyd|Z=RR5u6yW0xE)>oo=P1*>!tlLXp2(vkFl
z9laBnk40=Tg~kcL?c48);Un@d%dT-YJh8XspXoyrsLd(9v)xk^n{94ix*EoYLBT=a
zgcM9bew$6JqaF!Q#JqG)-NJ@T_XduCyJ8Hy#?3;4$|BhIN78%1lMTnq74CTbXABS2
zioLq%!kATc<f?Hg8`kV$Y9<F8!8N|WF_(RW@bhx%aSu&)tovc?c6Z1S3O39ykK_yD
zwNPKC@iiV-aOGjL@>=8kT_Qam?1H$-Tz}KadJeSItlH+$v-V%I(#nZg0VMQI)S@48
zqMO;(Al=;tz*#uH{hhb~9*=r!Y|_t#|MXnvHuUPlP(ymG*&BXb*m?a$J%tC^Ub9n4
zd-Y-JV0-@a%ls&@U(=`jA}^ZSDL=h6L5JOa;*lAL`0;QM&mY}HKIC2aMQ%SuhcjZ^
z%z5|l<KH(axo#f($ncy9m=&ah;iA#j@PquASvUVL2m~--LQ&VYY)$`tEKD|C;K$tN
zIQ<v8f;jG#ry{Xc5AINuhgqNU<D6vm&^vu0{MhK5Q8P`0_18Y{aO4nJ<ACxoS$koO
zxUcdjcunWGn3<g!-Y<aH)+t+fhKS(br4u6c+i4JU;iLc6ZUMYw{L+F}MnX!r)x<mp
z4F*-^7xcUYku&A)@|I;$e6ZE3yy&ei6lWJIyjjbcjmi@y#_r;1;VZ7^nW77)0`G}#
zyC;M`57UmFZkNEENCE9KzcqdC9Jl?nUl<2JjEefZNujT63dII=;dt|*bH_|Y@W~(5
z<#kKa*mv)f@Q{KoOuoI4N>w7E%E+yd^Sfm6(b9`j4<TLPi%V)}Q53~XzYo8kG$iA?
zFH!H4cy-}U;>epHbTQ;svYXAM$gTBv!*CBt7mSM+?p<FyUs&z)kL42b$kkfY+NY)q
zFtKvI^tuEtG5t8zMN+^c&rV!o+pY^g7h>bi4M<|oJWr0Rm?8?B{`DL=rwec5PwC4M
z(%2UG(S~^~FC1VR%Zz=a3vT(wAE>1=_~VA%4i<SOy!!gdNSh1|;)eVkhErtGVq0q3
zoPsh=M8rSNJWqo?iwtGAwfu8W;h%4-j0)P33w~c;rw0{((+q;;<S?f`2)lVyakq2m
zFn@|3r0%B8dQQmU?83>Tjbo~qXSP91Sf36K=M^J<*URHFi~qUeDk|o8v^S`Z(}C~C
z=9=_a1yqF=vuz$~sO3R&+ghU!cE-1rgV*v;-MDg^(RVd8csk+RdC>rbIV}ztvQzN<
zOfU~8p^laA2YZ}D3}G_d;f~)U3WhR=$F>KkV|ZqPUxl9$L|f;)HS<)$#X|wU!9MDE
z_NHR^jE6BCurK(xFs_8rJbzx1WYqEPBklM^7ZYf`M*ZHirt{-NNj;ad)o?Db!`pV7
zDMXwO{&V1kGB&o_ij@yj(YmzcK@DLBtV?sH*H~5XW<B+O+?*=@4*&rF{}h;aJlEeB
z$L+oMULSjYKKA~c4-J`-id3W|5<)6eWTm8qWMrkKlu<_CdLKohh*VTYh$Lk1@$>ul
zJnrK>?&IA1cs=j)9*)zyN|vWW?j>LIK@~NOvON0m)JHWuP$^fn`yUko+5;#LH|qCW
zKEz2zsA366&FLZ+faN>w{`|~p=&e=$ZFEf;)BfoE7nuuSeNTBe6;*NZ-Mwp_zDh{y
z_;LL~7l6@k!>ulRR8f_MxjBy@A&JM`hQ>~VEH`21-CtC2s{x;j5x)ZRGToS*Qlvo`
zD^a1XuYz>z0fLggayY&vjgN&)1MAeK{38*{Xl@!(m6j%rvgO9BTQz84W*gcp_(%y8
zY;E3^UywlA@7XL<qBPj#?vRt*tcZ&C9fo@<MDb^p{p!Ve0B>P8M!NwL2A|7)@kU-4
z*A{bo-@OOu+da`-F}bl1N4>VPuL5YhT=qFI9e|m8x_53x9-~$DbY6eq!|@BZo?E&D
z42NDAA7Yco)4pBGl@>fWtS#x?B@D3j%(U~km>i}_3Tei9aw2uYLMAzj3ZEAxRhB(v
zaQ~kc7GP(`xBM?oWH3=dMYbxMH(v@XTdX6*D6BZgp>|xx&l0vbhC8t>N}$Z<rslQx
z%-AzHpGx=M0-iW3^N;w8qqoJeLBAFzTq-Eq)}&zpL&Z-62Np!JnSs%CT$2gY%)|ey
zPBw?+c7yLecSLYzXldqg7bD&rd%*mD+zjMXrtKh57#)%v{uZ?}V#j**(Kjv|b#{60
znq5M;n`_0jn~e!GVvenwRhvT4{j*sm`vkGHgx~RO7!#JBdn;S4U<%WLdhZL)3t*el
zx4JG~W;_whQW0>)1lr3FoA%W4qo&is%iu4}$QniyX<RpkJz+gMXGr|`Z|2X+J7mGb
z?1J@6p~f(f^t~Y_hYwf1<+p^iu;Tu~+YEZ6Mj%vwRkxqQhr9QyJseqP!|yZsmvfF7
z0Z+MghbqB~O%A7SpWDiTwsCX$2mcsCn&svM9Xnp6in~afJ>^95+Jt{epdlz9_AFdr
z=Ea-O`QzRjaO1Upaqb5T29O>_xVDY)VC3pT-LXy{<hrWkdp^+s9DJXwn$h#3jPOaH
z0DC?>JMrpHpriq)b&hw=TJqwdQ6YI@bAGJ;bGY(;g+AyA4_GY~@uI5d8SN1>0ZjW%
zdKbDwAC`XG(Y==7L&bPexwrO$=vUWJB(<OihIBff3E_NLHs)!Y9VCP;U&b7k3-qAn
zL07oa5Fe5q*V}@Mgz;YB@8e;vdZ2XJk@Kb>KL%SqP_q3ef@UgbC6~GMpl5Kld6Z57
z)zgR0k{!ixuW+}UK(j75G)Mk(d?bJkC#{!6--u(>cgb<bG+j8XSo2~2s33;#>TB+B
zl*A^(8!K*ybzvl?CPN#9kQpsy#HXY%{_&xtG0=sReJejeO&AL)D`VD=WiZBO;B~K(
zF3<}-&xlYF!K3yMUG+f@>+hcL6c^Ej=HiwvDKk;D?u{6~ZXl06NB67e2<U>Vk9&g4
zAu$xW{di!Lp#paJIK{<C=|XWt*1AHWIA*o@emO}ap@!pD=4pLhuqWDHdCyCrTwh_z
z=uSm6^YEr>@6(0t>=B3ay`=Dj#3FnDaV3;(YiEy0*M%j{)M()zX>^)hxV(N{8D|bm
z1j_X5f_EdsT6~}^7Vod(r9M|dKVNG}H<})ho1&-1F34fr_tM;N9je&%XX)kEXL?|%
zJ#^l~OCH6<TU?B%)o|N8t%)v6eQ4CS^og=mK&9hlpGFxp&{vM<{C_?AAP_8>87D`=
zn_mZyKBLpb^((Y^g){@W^XP*hCzB%njL;ptI;e@=y#C^~2R80u$$+@dkRrPEg&iMy
zpoQP;oBMODjo@EefqcdrC0w7L@~q#ijqM{$(v!x<5cX+hE-FJA7hf|ZTb63$`PF<o
z4yp<0)d$a%d#T_}pXB<lzqB#r5w9QB#S|t}{IZ)xRk8JsN&@$HZHyOR`TX~o8OThx
zOPW@zV*GH$t?^6R`0F}Xd+bI&^owNip9VEtuwyLFo7Y02rlSMIJqr*lcRJ_%Kn?qU
z>CyK}X<=#B{)<1WEWxlOz<_5$4So83g6-Bcus1;}gteLqy1i$LtNGRO&*0y}#C&x$
z$!9(EaXUcaVDIi7T<WN8Jvhk0tA?NHM@7A#1GM*lyt2@vhCi%&>&u)~@bU#Or!O2d
z`1#!Z_i~aNnsCsXMZ=Y_ca&>as67o@e*5+R=21gxZJTFx5(zs(L_Rn~&_GGt(<&fX
z6-lJ5M2Sp!RNt|m!77yorkSUEjmlKeX@Ob)tFJ6ZC;G<z&7?u_WV+3pPG#IR^`HL3
zI!WAfKjL-b6&k2kH;nNAQNnD=?ORs&is5Bey{3<$G@$QZ;|?BHL~pz%onk4BTTcB>
zYTmZdpK>xuuZx8H;^`Ythiv5Et8kt&K^nZH7aoaiRKSb*YQkL0y!c7O>%-G_fVLeD
zx?0cV@o}=inf<k#D19;SO8+H*FTXsVoh{tp1<g&oMvn~*UEc6fECEuE9Wn?Y%i;lv
z&C)j8nDJuL?$>FZRET^WvoNA5ja4-7+jMgb807wb-CSp5{>p3^Pm{#tMPBbY4SHm_
zcWM0Dc}v*2Q*K^5L>v!I9vAsqwN4bp+vW^^wgAIY|6S*6MUjbj{J7)fDj_lKe$iFM
z0*)!Z^}kFJ!4Lk$F1mv&gvGNA4Y^2jU|6|zcIz7<{8d|M7Zb5Uh&A0VS8X$cXZv0D
zv!4{ioBP#z`fjZdT=UkweClTKU|YN7ZF>RaXgP3XKzo&lYG{>oOfUuY@n6Z_*8G^K
zwP}t=b&V*w_qs-J$OQ8JdS4yb!-whhE`eXd*9o<;BU&rlOdu%GXz_;}FNRrP4lPfl
z!)wt`j<uE=14C@)t$+q@Wae<uuneO|R!O(kW@%&C9y-fddY=n#pJleVe1-w9jO4|0
zq!_`#)T-vsSDg50P9#_@pAr8qjdI;$FoMr&4>oOL<HY-S&Kk#dGa=YGeZLrK2-RZC
z=N-;-;KftgjbA7%SPr>|rZ#xt#~_lJr_O;-__?oe-DX9ByB`~WMHoQ%mmgDd>+Co}
zE!kPDz>Zm~RoapC2B6|0|8rrL9dZ9N;cDbSn$q%od$K;%u=BmhQR2XYh4<!<Pjg}P
z8S1p4v_71@cyIAj*v2|OcS%nt9?UzsdfvB853Ze05-c9!K>j4VxMg`hjHz$@&gh^A
zikkdvi3yxo`}my4geE`UWS`%qI;IP2BbSPWY&Pa#>&)A`O#nZN=FH39*vNDDoxOHC
z+~}VhprREah(R~1nXIY0kS&$+#^0O=JsNJ5IuJrwzNr9VK%T#(XJL{8xAXq}m<Zy<
zP`4D%Y6%e>*mY~Ux|jlr93SKDefZF0<(K{7Wl{9^iQo}9Mgb+Bw-OJO`LRN;u+K<B
z9GA9vZZ9yTKzz!WWY!8lj%~I#T1E+M{(ZEY#7=>*3a4P=w*Xc&c<i)~l|t#dK_34>
zGQ0?yApbWkh%MRLmsz}JuxIkelS3cK@cD|ayD^<G%9X#8_@XU`d*lbc%M)ZM`mA=V
zO<M$yk^Gos&E)YNJCFItS7h*Q*)__0LKKx#7$9w@0?GyM+f%dA$8aU&`mS~{JT<!D
zo_L0YeX~1*oJPo?bcf3EX`2M9+PvKLu2d0C%joq)#3^tpqwa-wrzE!S+1h$}LJ1|)
z1Ai9pp+G^*0qMB2(&%tpv&zFr1&tgqz4|Eyc2SvJ$!4;6QvDX!kMpXiGdD#V+TdNw
zRd#2u1UYQpM=ih>H4MMsVD&mr7Z`s(sPZ`_k1MIenq|To7%%J>T4JFGUQsRObRi08
zME=*K@2rXEN_dB>XY?S}H@2VoI0+-eMYSHD)<Qu?A|v9hJ{-)lxLp~di23%an-3&t
zqiFC#Y;TzX?6a<V@gh_SgV~sj>yGIlOAQgeUS$Z9XTNEQ1uJ91L_tBj02#;TZ9Ip+
z8o^B!+CGzmDmdN5;n?d;MwP+w)i8DwXte%sjmbt874MJ&q=U%Fd@aM5Y;Ouxdlnxr
zi>YDh`R)4FhspSyXROlcmKl_LUk>tbRl_}zA)1`}WZb6J^|$elIk+o2h87=DN6F_G
z{un>j!HD#tTQ>|Wq4`UsRA`qvc5Q$Dw?0c7o4#xHtcOw|U4pTRq@sZfVcv(Y8)@N=
z0s9|vjsUaCJ2T`qYoMD2-Gk%{8hH2qFG2c^ycOELuqdprfw52ej|OL|;S*cYA1j+^
zutzOGKxbMV52>qG2}G%&%w1I{^L!c<Z2EqR9IKAs#A(I5EtPQJlPju&gEXjgFR}_7
zQo}=PA0%g{6p-4#Nk~t?3TU1W-QUTnVSJu|y>hV}Dq_xJsInE5k(`}0ja1RU(=1$m
zObTCKns*){S;6Gw0{N1T3SJ92zO$@O49hP)Xv^ZV0-Hdc>fL<G82^Gn*>X|{ITWWk
zga<ZwR7C7G`l*PSS~s#YqWSSW{{sPyhcuA7cWTd*A`(8W=-%Bv!-a~%aSg8z(ZFON
z>dw!@3ixuhX05)K6^+W6Mhb*!;5FRx(N#?zT|zy}P9J1MJkjB@g8-11{_j-vfGqkJ
z8I79etP@)-vwheP0o2c?2CiR_M*qS)({V$K1iAR&a4s`|En~d)q>Ut|)HoU@o|z?L
z`g|gE?5MCUcKvvysyK2T+gAU?bc#4a7TsZS(Gotmgzb~p5JjV^IY))Df5dONVy)L?
z0T0V{B9(Rs<0f{KhZdq^L_##X)B!FFa2Xqqs>~O}T{*wZ3QGPGoCmj(DxA$BkozJF
zNpvG0l+RXYp7=}1l?*k1$TWkIyPls`%J?uTgzW2SI7&=B49evnHie$wBOMvTJU9{C
zbXfk)7_s=+^xG>FQ*b}<XWqM<3oYNqtX9wdBZ}<%Sf)2T#XY9qo9zt;3McovT-`lM
z7_UEkUNvG2OQWAo_6f3M_@9e>2mVeG!m`p$+_uJ$sJ>TPs(=-FH=ijRd^AH?1nmDb
z{MZO?$$!lM>BoYnq&bRB)8+`fT<sxq5hK{Vt~ng&%Z$p2&w3u^E)X%5x-Ki{4Z$&V
zbx8jv6IQ*Jw?5jqMC|>M6DBcZ0MV|ak-f8wxRB;Q1N^JRfKN2@Wj_NrpU;wXIGPdN
z!zWGMPOcM82kO@B2lOG{TGdQgpAmglWAtO!=#Zb*XuJD>J~Z4mg)2OaXck+;x!r{U
za{|8XdOV;9hoy^dwR1Bf$*my%VHG3#pBBp9>8}SCXp>_>X2jZ>(y$~wW&{SOO?zi`
zA+s{<c3c=EzIr}7U|7$B4c7UU?Qy!G^m#b1<{Kk6kJx<N63m9&4d3Ixi0Q&u$u4hO
zPbRdw<=Sw?hy&$kQ*C2QDe&adhp8DRW}FeYzosa|h0SAXpIDtJ5UKZ`{$mp}3R`qb
zIjiuX^8wrA8Iv2iEg?2zQObhxpY5L7Xz<|&>f4O)TV&XqqftLo#fraPWGXc5=Etk2
z7mFvikl}<vXVFAI8}i@nkKxS{z~TL4)K4=yklfK`bb`!*w+oyTMdk&ONDFGqIids8
zN&dQQg`7CyV!OHLm@sDUo(ysw(FUEr$5aB$xpCKOqrD%!D27kZNEt+GgLKGGmdrIC
zj9513C@mL5ab16-=Th2WwC`9**9ksspNzb4GeH7bynSnvTeZL-<yjefEI%&($}IXE
zDTN$$igXnjTCiQEfR*{a0PYCimEWBzgTAuP8YfO_L4ID_N4g<F91?XN^7fO%&vq=&
z1B0|6jx?#Nyz%ZlOGioI%#z1|7lSdGv0Cu^dthinsR*)7ECz4yRlw^Zd+A*&wSfO#
zIu|=l3`g}|`rS5A#Q*T&xFe4?WL@V>aUB!KAib38H`z)UwYb!HH(47h<E{^vJ(tAT
z3IoP>0xI|{=V0?ILmg;RA8+}WEsgmc?d;X5s_2*L^eU5$3?(Ucs+3$=T)vsl94n)a
z=s>abyh?^oyC3}c)h&mW_o8Ae9%>*{6WygbeF~K2w;y9%kjD?aZ*zC*YGD+<o(o%`
zz=|d5$*Lp?xxw{*-6L)MU<?Hpx^zLGr^Zoft0HowUf=$im5lnj66ekP^`Pl`{I!)6
zO6aeWKt6wuj9K!PiBH)LfXef-N%4*{<~*>v^Fo_~?*B#QH92p17Q+?K-5*p?f1BKr
zM>+*rO|ORht~7$_0k7?W!>V}YSy-cL2L-QdihHIRnSfG9h;_`Q8rD^jce{*GP`JM?
z-?zyW3eq2nO8!*GlA5X|-X;q6T5y|9`kF)2(2mxmM;a)0#dg^?go1y~**4EHTSC3<
zCHbvRn)vbixTjSg8C_#0mAf;jkP^SiEwok>6UQ~Zxx~n*2yd%&E&_ylSYO+{s)>>N
z7haVaXrpmKO{$?G4M?6xJ%6rg;%SY{`*nR9sFh&+Tkt(?;~c93>FP8QwtAkL*{X*3
zFMip1WRn#nso6P>+H2y~8v!~u&ne?lp~W~Y*9v-e-Z`z5t%2LMcC1zBlW@C&NAULV
zR&ekpNx<c~I-chJZq52m4n1#r6%Nl@!L>ba>WA{x@ZZNZ+X_x8JgafGs&m>3wxp&j
zJvpq3n_D+4C-sRS<q`F~Scern5+({aajW2nz97Rs4FR;{_qgv<Xayw$#~0#mD`Aat
zzO&ODCl)`gnD5%V(cks1mI!HsmPLV&)ykPR=AF-$%W4Jx-AGhqC{#fI+wZSzmR==3
zex}(a-J`+eCi{bdO7i%3Z_Fs;@)XgpI5x!sG~iv3Uij%Hi?&BJV~>>#5(}Dta~C$a
z|Dh;He&L!FenG*HCl}j@trMrKOMC!=(=+AX4~nDL$wC1J+3Qs2Z&CaD$EaXZJ8d+4
zKorm2h+4T>(@bsU-}g~QfC`RZA0#ZX3!_`4W!<P~C$;m}Q~qHSOCW-%JX}8oP`34y
zky&0hl|`TKQOIEn=#S9UdjE?L|GiIlj}iSzT@J0VIhA1!V^?MVX6x|asnaX8O5LAS
zF)7&?w^lRoIF%%Q?;i*D&W3o7edwVkfAD>!$72R~_;lnrGaD8qRNZpv{6Q_1uH8(x
z;q_Phb)w%NW5&KUm)!Ef4ysRgI!9*K2ERTQzhzNi#B#B)2Zhj1^?mk3s%3*;(FTXY
zC8g<6+2L`k__hyJU9~f5-c(~SNvMqLEL$TQ(!=K$&(u;cNKo4)Zy7=1#y$O3uuM!{
z)uOqlJfId1FaAf&8^Y4iQ{i*#3&h3DqP0i63yG}bx3fh(41t;V)l&AWIl__{`EZ5@
ziNESUnI~Txz{py6$J4JfL__@1RXx4;gelt#85tb|Xgu}&{=DThA#-uquuHm~umsx+
zCvx@S(i0c4Q~xH389t3+(bP_2dM!urlb}98YWgmgz6oM2KQ!>=dN&~xyx=L2tOuD|
zSq)a)6GYGreXr2+K0>ze;0ZA{J>V))U{~)RCkkSW^?x1tMaVO2_%<f$f=J4GiVfX3
zG2CStBCqtD(6D;J#LcM-KebcJvLnX`OS30`-;MntLWk9|o3By8tBquBW-~@)$?%3V
zHjWZ07EeCTOHx2t!iVdu*BId*@#0|Q%YVe<R;RNO56BR(`6S;2F-AlsI#!bWCJ6)5
z1!9XS8MI{$Crl5H6Mwtjbe&+GCLF|X59DU+K=iIx3?erFh)2weUXNeS5E3>rRif{;
zVNtpDMV8?N(G_uAY3<4!;Tq{zKe(<1&+3AHlKxB(8c|LrUFR2wXkqC>Ix{U8vEY98
z_r)Z!Z9;;?n6*Sq>&~6>iP8k`18*vepG*-hLo9h`yH^O+BR<n&bsAthWY2Z6ewy%<
zAZ1iItrK>qIzv<iG@$eVi;DRA4Dp|E4s+Eq9bVevbguZYI@FBGKH9y1j(BZfv^V@1
z1D>qZNUpC{1IsVl!%7F|iM{L|`N!#)&}{!FiTflqSZpmVpwCz&?rO+Y+Ey{+QcAHy
zTCyr!42*u7c50b0mk<;g%V5Q{>ppY?D=M(xtjLyfX_c4|9P~-O%Z`WiSI?}4sle^v
zkye4v>qNKnh-=#*C+a#ZOa#v=!-+$?C08`)@yg{|t;-%f=yix%^6RWJa499s^QSQ2
zK~$`bPvAp`rjD~30?Gg(iB)7lCKOgX7dNxck5XKtyjz|s!Rh46y>YLYamvM?%9$gG
zc`Ht30eh6-bKkqwb2nI#ExmAk$V(VsFEw8i7f^z#&PAi{G<IAQQuaYdQM?)fi9+8L
z!I~xK=&eRhH2NwT(CsIVJRu6%(WQ!TPV4XJKV2TQNzFbU^-L1OXd=|VIf|eve_=u8
zC?EQtJ-6q%z6_q(UPQkyUlBBU_1%@b_)#k=?~eKjIn=l-bowZv2v+`i6R!gWaYUiV
z*Kt%Hx5*wkW4EFRiZ!+L)=I*t`M!WXI+}z|;-)A2_bP!*pXO}i#(RZNe;0EfMG61i
z;C}ddNC^b5{h2di5yzxW+KjK(m9c9!$Ln&QG7ziY`5gL^Sl4ay#Cn5=_VLpf&9A9I
zmFx9Sg2~eOuChBwaabM47^7dlK~>l?vlOMoDu*7WhI2Ygn)st$`^iNkbuf?;`Bk-7
z9#!|Gock%FgYP>&r&885pk{j$#iL#Uf6X{APu(J8^p2He5ovAkC%HZ?v{Xd7pvs({
zd<ypI`!%#Vkiq3%OT<K-5_)beds&gGi_)_yMI{6UsN+J#+B-J*vZVXhFhURCM3gGK
z`{==gYo%X``&H2;MS_~Hua6wjrDxt-7(jTxbL_IeI@W1?-Tdc2eI%*fuVUG31hpa^
z4XYa*4T}EDv%qYCu_<vuM?y{De&za@khvBfRxV>c$Y_9ZTe90tUYddFZQJi@0owS7
zC-;nSu|8%Uo8ER$z!EO@G{v4etb=r3^*g@L>ES0hV53Y1!2EW|=ON?fwF@jQgSt3d
zp`dJJv*B@NUC3!oMz7hIy>4eH=xMvR#ea(xL=0J8J8VzJqx4GiwbylUf!$>&NzNKf
zuD!N8s!B#T4nml-QUgmmZIpaktT+7Pz^SecPu`+A<oM&d3R-tEQPFl2sMDJ52g<e4
zV3X_K->xLoaCMbzyRixOU<3E8zZNQN^;k}Fl|cp0&dsL9n?R*M=7?v{|Nm|CY3yMl
zNWXQjQc~I`XlksjxG$-WtTTEhcQ5cD{29Ny&wUe&AMe=XM^VLvv4~2iZ}j-*LVa1#
znl;?J6FZ`>t&ADP*UXscMhWKoeOvA%TZ8jJzGb<rBBpi;SvAwQQnSf1i>{p3;5|W_
zTjE#10GC5@!e^(b9jU2PozYgX%|A(-%qxcz`N5(xA6BUk{&TQ*n4&?gozP3dQVJ)0
zmUa%QGQy~5C(qS`G*F51>k_&qhU%`L%G)eipk?R2rM(>hUxm>qM_L%i*^7jv_p<>D
zXT|0yCxF)Q-$IUm_|eu!VOg`99qtZBv5nuNf?NH4_gACb$ZhV{-xtLJi9W9kuIE`o
z@LEdE!z4D`sTnaj`;i0uP2y|C$}NC?ZHbTdE+cYl2>hdO=YS#4(L}>Gb2#Xnsy=yg
zjj-G<#qc|i1Kwuaa_(9(1FpmRxs8c)MDU@$?f@qa`1&?o=B1VyY}jiY_47DUuNePv
z`X4)pooR@^>u(BKqR-y=i}e$D;rwaks~h!`M+{w_nm~YqXoKz7CSs36NoTGpJA@il
z$n&llL*AK01Gg_PsC6ZNT+#Dv&}DRUn7YFl4#wKQJZbigDv>I}H2#4NDy6kv?|otf
zH(lz&<2!y)eY-EaBoJ)CHdy5`&2I$8g>xRPwxiTv6#w|DPizo0;P<#F!Vt!5*2HgI
zoTO?uRR0iSXNTvyUtCoG7=WUZhM!&W4E50Gqi)HE*daOi&pX&>0D^n1A5WytQ)Lf*
zl_(lw2fnw*-@f^(4@GVTjApJ&)K<6H|L$Dn0LGs2p&L8(;barL!S9(BYWu+qi?V~9
zP}ch`J@1<yR4ji#_daHw`k1t*b;64a9B}dIptl}S9?yoJWT1xt6NT*5ByO147V_0^
za>GM?3wv9w8NfVu(S53i2d<6lkZJL{@W=8f*)E9@(oRH~Z>I2p9;=DUB^h04aJW&l
z@|6ir`!SH%IQc=oHaI%$B?Z#<iY&Y#vp{+D)~C-``QdqUAKBQO0!8$c&n}s)pkLJ1
z=*1xjM{dwQ$Z=Dk(8N!{NR%CH_c%uC=n6rb`rWM;Uy(sI{cBJELk_rZp+SEjTo`EU
z%)GzC$>47_Yh32W1#&!J60AB!V6mgfzub@vaa)rf{Uh<fgB#3xD(+$+UEsJ+b5#c}
zy-oc-!pa9zJ-N#sOXA?s^m)gn+d80qiSNr>UVd=S3(gRIDGA*rCt~$>=s;cZ?<`>r
z0oWYx(BxAf4KD(xjm4yOK)(6jZ)Xodh?frK<}Q|nFW;;^!q>Fne*gdg|Njh^cR1B=
z7{+bK-dow6!{MCcaBSblIYw4WLJ3hQsbrK?6fKfUQp(=5L`&57O+}GNMZ=G*hL!B?
z=im2_=Y6jGdanDvKi9RW`9E?cA-1yR`=b$M2%DgyuM2w6n(61q%O(vw0=_(}kWdBE
zDdRO|aS8~oeTnKlDgz<0MznuUYViG=$g>y+3e0kiTG;T)f%{wx>uQ=h@Od7SI95af
zI6U^L;l4b`Bs@2m8`l65cUakoBo*8pCWuFmDgwu#IqUs4E!YvK#kMVk3Z5@7KL6*o
z5p3_5Z)kf#gzvs;+GoF0A>i3{13^t?NVeHCpKhQHxpf?Fm-o_udgzeBB3T7&tURtI
z73sjrM2XujK7BY4*mUc)g(_6J(Zq8^bzzcE_iTELJ_L2pg+1NXAW$|Y+bviRF3tJe
ziK?Ijzpu!v(QtK0JO0Y5rj!B#9p&?}6$YSS!CAeUq5)be_9{>Os6hMr!FE%NAqdt5
zf3Ucx2|X>^jEv7z@c%6I!kE_x2D6MvS6*sCow+@`oHh;QuQ&4Bc^iZ2$(4@^%|z&~
zd@}jXlLmv&cly10V*=tc5}jf7B+#T@YuUJq22P42%GNA1n0}fRjIL_~6K9_{qtHNL
zCRwlKl{q-b5{wk=bztv~kaq@cRG3gX)#lBz1WM)A!oklv5TL{FX<|l&1M<BB?GG^E
zpE3MmXh4SCW|o=YupWGU?a9k?0pNP&-j&V1WQeOBRu$*a1#au!GHX>UfNKi|%iGA1
zN9jW+-f08h72SrIVk;;Q887S?C4*ScWb8>VBFIrw>x3nkpxMU=DNECVlYT`Fs;@NQ
z23LG-nm-e){}2;be`y2fX~(!iMK#Fx@%ycQg9(GgBprV~ZIJW(z?mDZ4CL^!-IQ`B
z<oS*c{9s$xp<}F$cR&FME2fFTMNBAX^p_QU)`Cm<Nt<z187Sjz4vSA<!YAdE8)C0$
z0^xTAU)Vcwc+-B|t;K^0eWwoOg)=muI!XWio?apFxr#pZNiu=9dCxcJ4mFrKj4~)h
zUf3oiA-n&T6^z6?6P<!p!LEum{xpIe5-7(@n)h45)s3sN{ah*_5%$B9c5DHA_aXF)
z2*C<YceU1QxG2HX{fUA6UH>pv`O&&}xd2!F(*A3xRD{4sk$={n{K5u<xzEa*0NmMN
zlU6{MhtCNULhT;^VdEF|DW=&N2wN{bo^F?c@xYW*!pwFoz+2HnsnrtB=H8qlXGuYt
z-^aNfmCvxBk2&f~S1f?LuK$)xngkFo{++tmn}dB?C9_2IEr9T9WJ2w!7@Yp|TJ3B|
z1b+0x*)Zt?=Fr%1{>2eKQSfuN-@f(n3EbH0N}_(L8T<`eSv|rd1a?0*9J_rg70dPW
z8NEGf3gYY!JDME%p-`j3E~NNA#uhDA?`>!b1%ipbLp{78FBVpB&3u8ei|}e4iZ=nf
z5S4#W#|^V1m-qB-X~7O;=Z)X(GzMmm*(7H-CnRrI^YFC)h><KNhZppW0Wln0&CNML
zXY|;fO*_A0&7xXVjU*%ZecCCIvx^PVmJdF^U*C(Vy$e3XGtK~+f-!d^mo+Td^t(ct
z?f@p3_mnTvjR92AExAJ5RxrQngmd1hKd}Y)=<J9aLUaYQO8fp2=5X+8(TwmgCiSzE
zKS<9IY+Wh*{eFvBjb_f9+>9}-wKU;lX|4ebR@0qqeHJjSX!k__><O&7NSJ3q)&O27
z47pNr=CM5%Sc?70N$k{x7j+h?bTDUsb;(S19y9*CI^`QQjcIe`*X)&`15dr`%hujG
zOg_KNJ!j7>Ru^Y$?UT0dGf`(Q5I)agZ|Hmy$r1CIBDL0g;|6{BVav(;W_1p$h}Nr8
z%UZ<TMOJb$ifM2>U3BA}o%7hE+Wg;*gUi^4YMyJK3~3-({#vvC=RCG{S=h_Uc@1lC
z^84|+i3(L!qH}zC3s_73kz}87Hu&0kyeGn&3fs*yeAtr~G1qP{Gk+%zn42sX=^Ud#
zyD-7~alsO%sud`b_mUI#PkKZjCQ{(ySOxvl=rX49mb2K-gBwoO-*oC<_r<CO*F9GP
zR<XS{j_0fSdEtno*yZ4dx}aWt)WMyw{$I5m&xt+)NIoE>x)XGvh1^<cKF<agnQ_{Y
zz5Jk~Xhr1TONNO;pUxpp4v31qFk4L!f}~$hXdG{K;7I@I0XAJuQ2oBM?wp?pjFM@x
zUyXFY!M4FOCXx$kq+|Om=S0EmV#1K)eQh{*alksYmm9usJJ(3xDGq&0rZ&LP2KL&>
z>L&+zK?xmfQ|*=jn_<4_mL?MH78vo%Q{{s+<;f3uu~Oi`7rxsxhy=xIPKh?`0+6Ei
zCeOo82GTVJlI5jIkaCZ*wM|e6vYG#O4H?RTiic{7bte((>%w1WZ4v>l!mYMF&I;fg
z&|~+jln8$uZHzW_i^3CMLTl-@4bT`v;ZMCz1c8X={2YonT#gG5yw9!-Q!gg>JEjrg
zis3?cS&jr;e184(c2^aM@y$UA4~ZaIjfJw&q`)jruE4lX6;S=&o31lNSpBI%u<e(I
z<Y;vjH*<9$#2<Du*-3(%|81fCdMFFr1H30^K52maK+weAKO|5Q_UM|akcax+5ku$W
zwcyy%<LQ@5v>{QF6wLlc5quKY?l{|!prS@hqd!vzZpQlU801lcVWCT^O42%DrK&Bv
z*hYri26IiU2g<<K<|ZyWK?as!6#qpVJy_w{#<qDz1wtGT3#qo~!Lpp+t8*Mwh+t=*
zEwokx`AR#&sm)Z-_%Jd`<flQD(=-atR)_s^v{-jC4a7#{4*W9Hhj-DIg>Tt4!DiQ;
ztetZ-ILZ8$F?5R#-Gg_f&ID?~7Nz$#sYUv5)<opmV`W3&{O{=|^(G?twuT;8qtYRH
z{~gEw+8K~aEPFAkpbeDB97cTt9X7hy^w|^`!!pO;g<dZmaQCYH;#W$CTOZ7xPNbN^
z{N67Y#7~jIk#}@p$9Xz9KYZEo_L@0-i1VD4j?{(Fm*@4E@^r|!79QD?VhQ$*53b)d
z(F2@yxJ1KWAB-%^$!siucLA9i;xF{TRN`)sw=WHD@jYxDBU^!YO|oh}Ck6iKhvxIj
zQbCM^@%zE56}Z@X*fuWd0n<<MT!*eMjGM-@zpY||VKrrDyhsnWlVew1Kd;~AJ&6f-
z3l^A^CJ6R$>p{e$0`mMOO%VSt*Q_&#1z{iMYYP;0VbgLd+hBz%P%KF0PTyGY{v1b~
z>!c0{=3croZ@Uqsv*wSOjIiMFld&nUtJ;vqD@7Vjl>xP?pWd{t^*O`N|2o)7Kq#9&
zTX;kaD&}_;+T^pq=lR*zWLGWN`FqpQ-#K0o77;$+zMTcPIHS(*PSyYy@~a)LA}d(`
z(`|i+r<mYM>h;-&)PPq?y~)yV80*YF_SG()2|pqw@^4M5z-brpN9HD%u)t@gT|<0K
zkh`*IwNF<W-p>_eb?6V`dTz5`k(aDsGs&>m@2?`v-X;f@@=xOPvmY2{0#*>G<@9ZL
zr5tp0Yw~gZo5TOQDCOi|0%&;eNwv+82KWCy_^&E2<D6}#e|&@iw5`kYx{(CPef~^d
z8eYYZYL`|LNEkd0O3p9bAO>HZO%EzKv7tJ$-tJ%vOL+ZI_FH_Q5JdT%$<KYjhI}_r
z+M;$^0K&o_m9z7KwRu!ub2A&tNyKejPn$yv>!i+G0yo^uEt?oDWJ5z$1$&zAn!(_C
z8By#gJE;3Igo!)YkU_=S?C2p=xaj{czVQ4q_I)dF!M5LP_|E2)FSBZ<z$9bO=^th>
zr(wJ2H9Tv$TuE5%^Zh1p!?D>fzy2Tgeqq^eQF#?#b1h1Be`E|Z50sNHg$-ljD#qKG
zwk!Arb9QS7K4UPtKNYz3a6i^6&*4ajTgJbhRMDsU8$q?0Z(mG)Cq_&6QSIwq!nswn
zE|eh#RCC1stDbp@?I^mOChNU~dmYav2B|aP>RkP68NnO4)AZb&5$_Uy>j1Zq(q%)?
z-(=tJ(BFu2P|g(|>siFDGCNFfEE+&}B#%I7>L+~j;)8n|h8FQmmO$l=5CedHd>}K_
zjh8k~D8Ex&!tD<qu$u0tLt1!-8NsF>Kdd_G_~QH${_Y&(^(AjQB*t)VI`?r1|FImg
zRZx8yH_^YQW6`Y-OBn?lcIy4XAB0(VKAu^|!<7I18~4$Nq;0)g=k|``X@bHfqsuFJ
z_V~$~q#+tSp-^o;$N$AeJ#T*&GF!v<oB0j%gwlX}do@?0(?9$RrRU`@Pd0R6GVwpx
zRVvUqJf~&8OyXBt#J?5L*wLpg5w*crsn9$X-l`uwjo&UMzvU!xAU5;JkItIZbzj+`
zWI&k3FKym$n+Tk!@2eS=<1__4>`%|J9?#)7FOjl1qq$JN<yR-AIz7-4sBu1UasiJW
zk>7W&iyPHmr!iz!b)j4DLVV$_C46JpjmzO)yhw+<Q)Q#QF5G(`IySLu1^=~AsW_g%
zhjPsiJdDmDL+2$6FQ2$Iyd=gX6Yt|kSGXSWCd})=E&;7KB7fMBymjQR3&Vow1-X#=
z+*=2@4_@EYOyoex{DY3yG(`~0R`^QAdVkL~FK^X}=R{Gi73ZhliK4mi%^d_=ZK#kb
zYfxL_Lg)8x{~M_;j&{d+58Z1ffuozV_?zoINbNxXcjXKTR2>lWxzcOhF9=04o?8eg
z<)HNPK86(PEIrX`vq%KzixOiN2K*>!utfOlj5N}S)-hQsCc>a{{w*PvAbR#M+>Ylz
zS>!2tOg<x!2o-^y2hN-pMz+;^F2sz>qofVZ=bem+z&%a(Hi;5N4tpa8?vXbjn~!A8
z>q<nR)))T@Y!O3lqjAMe=}Ktl+mF71>+g0Umww=85~xC>$K$1f3Sy=XW|)`};dPm~
zxn7GTnthb8{cOA{+89(?#&?Vew?>P@Po0oP$;%a;7F_D+#{KRWfn7v6cRV+hxmgw&
z?}~ltpQ(W?^r!fu{YY^6K*37AwLBuT?(9o+)<W#@<5xM?^M)s)EB3ChBKqwSv0G1^
zgtp_A1y1}r;JU#6l$5;@g`oQ<e12&oAJ3ax`50u-%ppx_pHW7gPd4!%Y$79rpDtyp
zg}RW;c2Y3)r3#{i72UX1riUD&ci;8*p}?MORu-R>8luh0jCixCh;8$Ytt&NDc#=>f
z@HI>w`QWWJ7qw_efa|5y;Q<<`aEd%M{;GlEBPw}B7HNpHhMYZbNr$a_Zhuo@X(66}
z7w(MS*GCiK;&K-n4PeppKVe205j`oe7m%@`BYh8%wS{90I3?)W@PtPjm26(Enk}KD
znul!}nVXH_3q$>Ek&6z>jUxTp_>qnTa`IIX(-aQQWy()QlM&U~=?e2H9WklZLb3Md
zka#cd`SdAW)Miys=juU6>I|>*qi&YK88EiG?5u|fL7x)xi}Vr7PiNbv4PedHvO}g%
z52chD)D4u-5Ir)=E=<7+Vp%tye%GU*#UvNA$~{zM@NsX%;<Ob+^6mFBrBTp_iuvTF
z23?eWa(~X$T_z-0*$Ju+>7kv*eMdR`wNcVbhZGqW3v!-bBM&<0A*I%K!igqL)J|Ur
z3aeznr~c=gSb@3-ofNUXE31aC9AJh%7-d0X;G^wCOET(Dtk|?Txe-l?AEs$>SVQQ|
zBOUzR+UVQ$JM#hJvS|LLkD~KG7RY^Y5zufXA=8IUW;zl>5m)5S+u$tV&LnfB-qb?h
z+$K*{SrE{_n+iEHVJuK!MLM2o)j(<Tkyke_E#u1b$3Jn4vf#P3x9XvJHS{y=cgB+1
zAKbWNp_V<H3BJ1Se3h!IXt&Ny<*LMTESVs-&q<vL(;Lms2yItJrh761vm}3E_FIgz
zSq1And${fT0o@H~--@Aa*y|}w-tta@+d9`DW;M!Nf0IL<xpVJ@1{W{|yF1(Y*15Gc
z>j~r36KPZun5TKeVikLEyQ@J{6<|U${h(&61nTrW<xrWz2Ddu|HFBLXh`B+K8kZMC
zPQ6C1<>BnmRYGdp<!cFU4qvY;*a)GiPs~2n06RFex4X$lTL4>8z=?oH0&3G+oikl!
z2g5ivso6|(*x;utQ~Qt$#c^Pcb=~Z6L*y9LHJd@1G^^EDh#fsMrg_~@VTYblH7Ra3
zGqALvEB{Mc!hgTiDPd9BVc{_`-`&C#c*v5UKUUA+_itt>ZEs+Mp_`XywBt-5(|_*z
z@skty+Ka{k?rm&<Gadx5wXSoh@IJmvHNWs(*EJ12KCNN+lb-iGl#RhV6#d&i(u1FN
zeN}lvVGTP{Y<{LC$_Tz$pZ;NF)s8ziOFRueyNVS#F!Cll8Q{iwh!-6x#czDai|VCT
zG0SV(glJO+WNOT0$ML<u5^SG&n15QqH0Pe4k<B**iQ|QZ@&X^RV=fv4yI!tfT3)^l
zS40iL(mF#aBDEXyw^F`(XJ`c*5Z7gt#~Hx(*r%&Ii~6yRp^v_{o3CPx_Zs^x7wFK~
zY22@P_a{ajHkk@*Ud6n#qYr3C&_TUil)@P?jInclmVS3-4HG!bX>C2F54`0!uL<&v
zV?>@hHwim7IC!pJ`pi*%a2%a^b@2HFc9nlJHfn$k-V?X_wye;=|M<zmi9?fE6ORRH
zER!9gc1W7YB+!6^vgO$;#c3?4xKuXs7zgB}mHGO}($@7H_^JPX1`G1ze`|k)6TS{`
z`{k5V;Zm-IKRICzdr;}4+n>Y*{pL5>2AEU``o(qHciRH?y6&FfLJK#H=I5pd)KlP#
zNz7qK{UvPYiUvJ}$_rHEl@7c0-aK5v<lm;Vf|-qUWv<o}fE2~1S;W)>IpNSt?^$bD
zcR+eYZ#X|xo?gRSQ*^=Zg{NRLVuQv<pEr>_1))tl>ze8)8M0q3o$;7vhhUePcGZKz
zurXbAQPqVE<|End!oUef^Xp9LUZSvz%SkPyUI$vQ<vdF(;)2ZjCG)>`#6Xmqt%e)u
zKveDbcjMYT@OLEWckiM&+*=S`<*C(%{dSKHjoNvkL-u0`L`y=vlF<!c2W_xadF@@3
z&Ida?dI|#+rQwj(qk;{?Bsg&)?MQQ?0HhP;Ue^rBKvT5hyRLK+c*$-`;Vu>e?lVUp
zUFnbm!P!?Oq3ikk%`#??e^Lap3X)eHMik((h|EtF8VP<9Z#g#`iGj75XflDi5rRg3
z6E1Eb!7la2L-((VgAJq0$7!oF9NZm!;jS79QpGe=t`j7I-Fcd-k*5MWZQmjl>_{-e
zxA#6hOA1EK|Lo}ESA)=iEhS$sk)X9}$5|aW8A#A9|DkzF9iBZ<FNmEbLBaKc&JQ|r
za9(PrOkGtI@;eoIXi3`OXK^Y~PE!H=?wyXCZPkJS5;ys#>pJg?O6u-oZGdw1rrI0p
za}OTwpL(~h|2qMK*`9bM&}sOKpL5rNgFBx17$@q2CrR%6j!9*x`d0h<98nkEn5gqO
z5h!r7OT%fmzA6ykUp-~Lpa)|$@^g~=sE{(*C3-(r4LXUnVZy#tIJ!0Y*VXWKzC7$K
zY~Q60Gn_mra|Se!lnY6XFVTl*Ri_t33^gIVNB`BeSsH9Pl*eDiYXDyk&-&F~*MgP|
z>*)F0`mpMs`O5UFAp`_45^6??z?+z~KSq`g$M?MTA!A0Me;~ksY^)7iby`yB0d%-s
zogTF&Yyv5^vC;+yb>PIr%C>@Ibg;X-Szzm&DIBW4XF`Z0L!?RMo40m!;NBTL@P5=B
z?$MNN&V}g0<$*X$sdjxRi!9-Y?Xv`4O=rIbRXvD*Z%;ZRtPgiW8@itO17uV9J>TBZ
z1N3^&10HS~92~6vInJ_z;VH{8&vrdH?($_wCz1jdb_Yf51ex$m_4kXL>-|(^J!_9e
zkm2O&Q?Ex4nCm?Cdf|?j9?UP*o-@%P!D8IgJJUuicpL34Ty<X;H1D|x%9U!sw9FZ7
zDTM{b$w~=!4P+2LwwuzestWs4cXAoOW<f|G9$b*B1HQj<9&HZX02QvJ*pPM>5Sq5k
zo9Sx<M^qH))`&Ei6YFJdpRmAgH2&^XArVG=`u_5>iGiY4pTwIpEcp7Z{Fm#JCiKuf
zf<$6@fg$(yO_4qensWP$URr2?ljDoi!M)3vq71H5)y@R|@~wv^kEwyjqYvSd+efg@
zD@wcF{Fu;s;)v1i8Wj)~`yp^~tp-yJ?%C||#|i>_udL7}lpyQuba1*sAKvrKwz?$5
z3jX5~7}rl%g!7IxqN3geezX1I>s{jjLd9KBct8%cPla?ky_>-g@(yjR3k8rhEclmj
zNE)unjH-$>F5rn~Q9=)gF|hXJ6>%$)Sm)dbquu+K@ogU6^s|eWuucMl_EKV?*^gm%
z3oH1!zg2f6#Vz4X@vhL0V?t0FdW;$QXchmE{@Z+pW&sfr#f)TqK6uq|*{A>0DlX}p
zS8u)39O^#>XSTX?LvHk~0kJcyc=k4hj4z31a4qP4H-9fXT<aK-eA>H$`voVJ?R;qp
zp)Uo;0uxp+AFsyIEa4SA`h1Xz52q<~)cp2SVV}n?q=!$(Xe{H?-L8U%984hZ%&l5O
z=_#yH%*tbhv4k&F{JSE3%NTro7NdTJjbXn{|L~pKx`+=Gat{xW7=e}DOj76LAuRP_
zK<m%g1w24(`QJGkBd~NR6MkF&AI7%QSL)F`k3Vy5<GfnH0L{xrX0B-;u#=_+Umi2&
zaXw54o)Q>vp0?wal3E>hUuSrq+1ok%kGiNEI${VvhJHO}^c3OC`SYdk&(7hUr<}xt
zdJP~m$CB5Dw+R<pHcAUUFo$2ca%2CAtp*Un!J&A~<0GES)m(TgW)5eyHTr*OqC*w`
zS=r{3-*6?eI5zft4p%;V)R@JjgWSgXo_mQuaPt29|HbRh<MjbwQ>u_Y$Yz{=Xpl32
z|1IP1SX$q|!Fh3Hg{coG4IVrtUH*v+w#wOR-dey7ntmuszNNvcPO-vGpFg;qgYg=7
z+9ICq9xndFl?E<@kNsnnM{yNKs>;yoB|PGlWr^z#Dwqz>KIQEh$9Ytv_=89*_(P8a
z#k-GCp{sCTU0eGE9`V3Q`)0!`&ba&PHwO<D`oAA#TsNJ>vy!#i7VX(k&SMt+pg9G8
zkKUao+@Hcbvd6`&wy>iu43hm)xE`FVDj~cvp1}utGspTPIZ%|&YV7lBUEodc?R4v$
z#p^GHOOMxcq8prSP9NsU5O6JyLQ9^<y(ijFKhxqylLitqUbbWypN+{G*}I6p{1H!H
zdBTI5i~CyA?&v@pBalPScNyQubh%a;PC)W8nO*PZwSk5`w`f_vOZ(5W7c{;2Q6tSm
z#Meg~JSF2c{@llgQoayF<-!F~tc;rBn|CC*75{GDqKq9CHh$Mn!G)3f@`aFGYZ91$
z5>=|@<wUz81e{Lfi6V~K+>+u(B3LWy<D1WNA;w*m+w5H8$b+*$v|$?&#K!(8YpC%c
z{YRxy{pTf6V6{s$-<TGxx&~}X{l$x>Uu~Rj)RjUPAWQbcy1%Q{+v{q5=0m$<wZ@Mu
zNh8IpjmN6&wID(0(w5tQ1&||8h-}TIEK<C`@F`hT3zRRH3VksZMyHzgZgG=VK*k<V
z-rXD4grE}*&Qac?C|R(!d~M$b<WZY!`r?}=M2SSC@jMknJco3&6vvd%?Vo&8e+D#R
zF!r*so}mOHr>9%HxT+w96{$yG__Sc(gqQPDyCgd5R`(^~jVc;@80yrqMGJIy7H;>t
zB8}8b&z4Pls-qw_Yu#thwBU)S5uGzk79~DgmO03&iINDxKy)X<V-Zy@=V*DfgYn|_
z)<!M#;G_Q*d*yYWtxxwCELB9+l85X@vq<QxP4fA1Rc#2}we_CI>PE!9(W`Ueq7J&A
zadLcDfDYV6XP)KNE2G2Re||c~=%OSqR<Yz?GFZ47a<&PmB4OQD*L_DRh&?MIJgi9%
zipRHUzX(=Crw6--WNN7Bfn&J#^=K+2`ES~CzEd6Tvpd?{noUD(`U<Y~&uQ>C|3luq
zgC+{vFJkm5N*`(X@^x3z=pfc6UvQ&A3xzU|n%Ef7(Zb9rAL2&?_<Srt(Vsy=(LXM-
z)SKui##Q5OdJY4Uvf4_9GPTj0w-Ih*8U|>q=zaf$RAVr@v1ew}UmetSgS|1t#sCRz
zDXP;bG6n5dQvEqfy2$<Q^G)9r43MZxb(73nb4bs;EqhQ+56#LyS69lTBX)ziXnf2P
z#1c#V?f>ebKg3OM<v;5qmpiuS7Ec2>h_E#`Mo~}}Wou^fBO0Q_woj9eTS1G4v6%Z~
z3UV)x@!hbQif;dUu)46F2}XH`veXJGDE7A6F4HZ#sA6OlBZ;se+wYg*3ygyDV^+(^
z<s?LWw)bvA77MiN{Ssm>>Y?cH78&bL8YqL7+myp*4J$)C9{HTrMOTjac&|;VAgPA%
zm7fOI@O1j5ez_SLm8rdtb=a+lsEqC(85Y)%uV~6|RI801_ZIfdZjnNtgz6sIC|Sdh
z!`nS!d?fTg00030{|r}mJeFM;wr3fyz4zX{_INKuC6W|H6qQs$`ii796d~DKRzwJ8
zM)W*MX(=lsQbw{0DKq)}dw%CWzx&+hI@fq0Ccxd?ww{c)e%m$n#Tqvr+<XyatVCX?
z*q1cMF_0HcpK{t=v4)rQxndp{1+r}9bf?1C8DfxGsb5LN8iu26G@YYz<hC@*LhG%k
zL_iHaXKjWRe*1CF+g_3(@3I-`*^GXp9T+d!zf;@_A0)o}@NJbMM=l%;XlMLGvkVSN
zv`w|dN!jGr^|fN;szy2emCV1ibg2XD+PE#T=gIG<%`U>E%RA+@LVDPDXKFgc0HfnG
z9kwb0WRuO@+0tbOR6bBk*uVkYcc&KZHlUD#mZMS1R3@y`=`6Pwqaon%dDDtjE^=~g
z<U;)r6Wj_%Ry))zK&mx*9pU64cOP7d)>LQ4TmsLYqqgSAe|NF5K9-qe($cuPPL&xo
zvCrqnkC-8In2zPpIeOBwui_)yA0~J_I?FzJ!xRRY6-sL5%f!-|T$i9MCOrLdPj~2p
z3Bt;EEX=6?A*!Z!J$+%y1Y?dQEkkY-&?{)I)Rp}t{7$$iqMZ?}hfl0*buq?5G28E>
zTZf6W`ol6u0vS;@w{-MYt`UZUysZ@lI*Ftmnv$uajM${OT%WpVi2w40y*)Lm2t(%N
z8OJUL#M#K?wCpg%+q3;gS}!!vr1VF2)E6?q`XTMoaHRn@2@Ewx#dgw|;t9^_GzOgW
zIQ#yrxB+&kB+y(o4bZq7*;v)G8L*r-{(fhaK5`q(Yb>9Q&^9{M(u==h0E3|0R^3G^
z8rE6b-FrPjo1mYS;N)V2avZzOus;=!k6IpxnN8CKu6+4T{~sd~!hIgvj_DzFXgp&k
z@E5JLAnNGE5+f4n{@ykB)x+ZjM!osi-!v)Jw;{zjOwjO-N~xUCg;tTm0p6Q)v`>Fe
z4VVWoLuvB+^4$}<IA+_fdM<r|#$D9;s?3uG_402e80d8I`s>lYiR>jBWAyR&jwe`g
zwA)y>D_#c`m!u-&i~rJodUra+m#{%<3#DFDQ3uzy6}~~!KbkMAgRT~Z12)_#nv$e8
zA~tRqX$Yl5T*Rkh^(;=jNZ<al(Nh~q<|Qk;GU<`cY)04SwjOn=v^skRZTQ4AYKL|(
zU@F<erF;W7I8tf8Jv+7V-0QM}z629|Ci&Z3AM(H=F_pgkktRO8v<y!RW5(0)RiXKA
zUQAc-J)<q63GR%fjEX-j2y44qG%3Lc^LoaZXR#VMRVvS46vKvHbr*hcT;PXLl%>dp
z^%~H+5_9FgB?pWc&kma~31Zv9&{wzbs3Y;<mg))7b&&9l{~A;vgi4CqwqR3rRGil^
zZWQH0<X*+7f*=tv1pm2LJE4Z{!=m>#%JQIX<dAElml$G-u6}YURRjCy=(uhNUKClV
z`<@SxfS0l3$@nNWI1k<LZcLy+gnwCX$73nz%srlA3su88{Vcw+DL%a2#jPUGD+4;_
zFRz-esG&Y-E=TLI03_5y5AS!Eg;BGhf>oIsq;<0f^Hv3+l~Gt!QY(iP!@Ki)>C|Dn
zNzc}{LKt7Jdu%b*RDk9wjr_2a>d@l-Ry`6aif}ritEVayapG~}^gcliVE1>7hl)e}
z>>&BgP8lsu|GwysYCx_=!<X-xB;JL*JJS6_1(eNn+`FbV!E-SFOrfVVzP)ZSq25qK
zAG7c$S<$t3^mnstj*x-&!q#GaYYlXW$A7)krwyu^cbrYNEN&eyA2uG*#MfpH$H`}F
zxVn>eId@hLUp2@d_NLnS6fJGm`BoQ7;ub|W4HR(w!X=5eS#3b&FuV1#9)?c;)9gN@
z2;r<>bKWUBkmr8IIq0a5oxh(ZGCx(q){;Yxi$c1XIP~hy%O(RX)Ysjuo>Rt4|3AW-
zYq(c<-RsG|*9eY3HrPZ-s-l(gbUK-#3o+NILuc3cgsv^Zz(zw2s!VM8wn@79_%mW8
zw#5`$PpjH!qUyNzh&^i2P8a4^|9x>vGY4~A-M0EZb$sWK8;xqvL7y^H-m(h~_UfPa
zUG&p{Ml0R%wnc3$Ys|lWejYHBUV81{pn)UXt&Tq$)xwBK^q|)UOMDF5@mi=y15G|1
zeWgJfILbz?B&IB3v(YlxzE}eZy;0h4@>C%i)Sc~l)(RH|RR#hqG;oc*z1bjB32wrE
z`fg)Z7>c=)cr#8NA3h{Yj)urXSG|W)qhpQV2j)~x-Bp8}vefMKHW@T6GZvnAvBm_u
zlJVquRYdVe92ANWhvm87j4`{dA?GW#B}rEWNs5v4n_dVa`YcP7s)aQu^v;sJ&y+C3
z>)B!*$&0#`O|lQ!tid1TUL9nhh{3?3O%nt=EXk*L$Lp;i`7Xvd`Hnme41FzLDW^wW
zD<;akt&k>H(3AUD7G(DFNx_~!G?OLq@`Pne2wR=WZuXSH&4vy4?gf6M#V9#0Uy8K^
z(V5{tpCkpI=}*H7uJyFez%L_x!j^dA*7+qlQXJGLUYqymbr8x{$~S2_z*EAYZGE-~
zQa$D#H}4-N9DD4z3fExn8<rs(J0b{qzU!>HPbP@lx&#mZ2^y~0W!A3S!;g32TG#J6
zO%vIFry3tzw}5A#*kTDI1?kpPui0PE5YAcSN1V#cA^u|93$8kD#7sw~{|os=*bGm{
z6!e<mHKm;8O9v-@eOU4Fx&Djr7|!~(z-b0Kza8!wTiLKBUE-;P-Y+7dQS=<m+7ymg
z!Bs2Ij5qhhOOHm(5WDN*t+!t=0eRWku*hjmkN+Lk$w{9kMnbgZf4nfpMGbZR+>BM)
z*36cq3Z*GR$#z#0!DEcJH#_FSHJ54ED-OtPo|+_bOZoXuc^RRR{@A`jn|a#C1^O#7
zMdL)%b(5I-YC~*eRp6QJnx*X<k{>S$7$qk9myd4ZGla~cTw%NJX<F+jZr<NKLcC1K
z*ZXk70A8nPA!es0X-!_b1zW9$3GJYB^1MCzD7jJ5`f~g`O*VNVU2y*(QK_>m+hL^-
z727P^n#Cd789^8KFAu&F!2^d3haXaL;3A*arueV4*y{mI0yh1GYu%eciX0U|Pctu-
znDo*bZ@qI^j_M`u1{wPp+|+~jfq{;G*-qN=ndVX<`5q!HB!F9mPY>w>dn9+)x6=Fr
zEn`ynx(Fi<o|ISdy5KUkbV?h1OEWMrG%t4kNTk#DME>E`h48J`)Xh#WXmjgY+PS{A
z6W<$>I}=lNkgD!K=1n7L|0D#es1<F5q`0jAWl0@er=^Xixm42r-Bi1E_iZaNOAQ|^
zFVKb<m+gOTE(Nr<xSn`^*;XQ!&R2`YNE>fvf3T#<B-50JBKBvOw-C3^onn2Ps0DSt
zmA(4~!-%x5FsAmf7NTyagHFg3O_U|>jal@|B+kk@cvXkC5D#1D<i^J|P)gsUI?+~0
z;D%zvL}3f@>RsjA1qlu4+4rzZ#+DHtfhD)^a<&qWDCd&Tx~ik3X+1~L-fH4@2D@S5
z?N*{W+kLBZsv34#9XS@U@`NxeX?fx2)<#$dyNS4bQpK3jIbT}~k}!Jz*l>1ZJ5hA+
zy6b*9RrFu``>r{pfw(llcWmT92eB$+m%ID83RVwUFaN1-B-Cq2mV~m8go(qe55kSg
zn5)yGJY#Ai-0Z8^26elL>^CA`E{G}P`^{9v#zU_O(ZB4)fur3-)2JX%aIg|Ge@4h}
zAA3veN!nO>q4N`=&yh6H+og!+sr|2W65bR4Mm@r~=sy!rH>yadm?>hG@7RNL6)i-V
z?RCcYeqRVqS@VUcdkS!TS+`@%w2es9<Ppx|9w00puySQm6yVKU$a8Y2osfQ7Qsr@d
zka%|N!yWRHJfaq-ZV{y)iQ-)rCoGJIi8HM=8QlwV$cQr!FT2-8XpdIE^xz#KTFsbN
z+mFkk>fGD1<TpLUXtpumUhz@F#OYgi_D@-Om<c}<m+vEXi@)C-x_6w|ls)i5FF+PO
z6@x989`_Ue-%1>#zfKZ*p=`8svofImNglLs`bt!%X>E|mn<B2%?h!bBMg|edOP)Vm
z28r_99}hftpCNdD7qLjQ%3z`3fTT6|Fu~oiY8=WnOKfG^dh$f7G$xdH3-|s0M#u~G
zTQp4lCMG9d*qv69#@(zu!G?9CgnrBYz*44p!rD?sGVHt*YSX+TukINq-mLJQ8r{A~
zI8?b_cu*;c((#I1ukp41x=$8XeqAQEWoj-Eza*faKggw609!z$zduF%@U%Y2TltT;
zQ`^YSVI+Zb)&uiK{xihNe@zvA6LjQVk>c2;%i<9F6yoltJWF^*Un<DD&p<}f>o?1N
z7Q<{$jZrS|A3~ph{!?NK6PdlaM#RcO3~memb#Bm_C$Md~ZmODvOb}0Gv?&xtL`<Q_
z!j(lLFK5C1i~u_s*`8VECMya}z6=IIslUYj)f-IF6`bUqM#__wd=co(><CQ%_m3Fj
zKI+MOhl`xc->|@JE&|bOLCkjr>B$y}?tuC+9&*>QON{kH!tnVOUrzQgkd5-^SR)=$
z$hTZ?r{^++k(46O;?T@QE@z)LtSI0ocNHdbXa@<yU2{Cmd5(pATd;@kXQv=}=*;+*
zhhD;{`l$29-i@8K-MI5Hi-ibjlh5f;xwc;{JnFpYDkoWc_QCV%Au+Pt`@BX@kuccO
zV~){HaFPARySQ#NOOpHz3dLspBIqd6bF`!Il47Sm3U{tblR-}R{|!`%U?z+8*7hC>
zc{Tl*pei9tb}2+X@3<|Biiw>2tnc~BIodmE?>u>OkBfHy*>*AT#qSV%HY-RD&Ui1n
zR4J0uH@*s%`bl8Be1&$hg9thGy|RG(sZ5G3uHNfBEd|%r+Df5*G149<<DNLEk+nzo
zayZyz(6KbPgD+o_jCUE#(fpu6ZcUO_iqDaSM&y8eOoucXD=503-9Vd6*_H3=yQbfr
z42ANikIRw<AFSD1Vs*$POE3|mQ$j;=dsD2kJSoI5F=RNbOIE4(?x*Whflq!~%<(w|
z(qe4g(Jmb->6#e3o5@TA?|hSezI;?7&-<$OZ1mM97rqRRoJ`h+=`HO>144zo^SwS)
zD%gNzKQU9n)~<_52mS||_tnS)d#`ft+G0rVxZt<6$5kITcS9W?T+$$wjeEX0v>1}~
zKirPzi5S6~wfyc^OD%HtY4YWe8AI}CaIVN%PE+Xpn7((wSDW1HWT(`3$B^V(*m7;N
zkOk^48FHm?t=(saZ`aZb1M+lEN}YQ=Q0o)AjV@Y;bPKAPY*_1)KgKHBlF<s>S`vY(
zZ8{{&6{g2;WAsS>AAWRQ+pY0<iRE|FR~_<hSefuTOC7Rme}!kC{|1bOSL{oAq(k;a
zzjD#vtU)FxFmJnJXM<q{C!4_yI%H~tWa&tm5*dHRQ_8yE1{`ksoOS8i<V?}J!jJ5-
zr2R~x+AU>UnC9NM<-Dv#%6FBeT~iVveHBc)rZsF~)A?RWE<}Sgv=XPRC~}csnvP`e
zoVP(-w0XvM6*Y3<XNQaK?FFJY)T^;F-UfdgkDd}PQ6?WIc#Qm@b<r|3PI)b|*x+$N
zxVgBPBKcv{@z!7O{?St1(ntJ!Hehh$pUKY`<;dvB4~GLB*x_gX&#AP=8j|+jUSq$d
zNoS63Yw-Xc6hC8bQD?VC;m7$1=4Em6@3G76LI!*o>rOLX=Wc~(p#dh|TZBoE+ZHLZ
z$^zJ-rs3sVZizgbutVJ6`N;W~F)$1i#G@{&3#I&)kg{jFYE#HfURHSEx=CLMr+T!l
z*RA<y<7T@BDIGTQ1C?oT{Y@dz-AO)lZGr|tWeW>AZ+fyrSh@3QwGet2)i$e4SYXf-
z9+Lrc#A5u6!|wY+pw?ZBC|NPbo37WNJn~0~Ih(hU)U!gM3_ZCJCu5F>ytCRnZd4NV
z|9RAxY!E_b@Mj%`oo2Y36p>@;(N7b*psL%;E`+@d();>T*ZkYx+QV;jrf36_Og%Cm
z1tI<R+KSyb6Bu>iW$KGL+P!GqEpHwOVnr$Sq#Dfxe(5##TMbue`odY2fhmFrGMg9=
z$}xrsWrFM6C3@^1-!peGQ4q<EW*WA<#_$um?I*3sgqhU5O)K{VQPn-<z7T1I=QW9$
zcj8!(u*X~DO{*YO^0!=IVKu^Co{MujO>B@SNU2sqA=nleFHqtPu}hh@WZ%Pq$+TXV
z;*&z~=vopO5H|$V;{o^R=5;t)n-yIAQwTbz*xa1T4Ulyv$?0hk7cS%<Cq^#_<H=iR
zb5AD&(Cy#q9B$5o%95FW2Q3jC%wx$Bnb(Kw%L$$?X<qQ0uMB=LCxYSdn9qf|`nXnA
zF4V|CLGrcSxtcCf1UOgdIJoI!Qw_QJ@f!s@9@Mx{+Qi_$=u@{<SRX8PeVoqk_`tJZ
zrKkT*98ZH&ZgYR3;(Ny@Z?nhzxYEpYGMq;eH#=;N=u4^S%~>qoRwRIIotQQmXDLKx
zY>K@XMFo@ekEiSN1u>GbqRinUja$E*P2&8hi1K8)`S5`d&h&?$Wn3?V$+0#&cXujM
ze@2e!)eFPa?(<@PvkbOV#oTIkQX%%Jy~Dmo1YA_{(uq`AWa(J1dhS^}f0qJ}54{*{
zqqCo!KO~1IBK{iefmG~TAL4jZUmW9QbiHrQ<>5PA>2NB63di;Y`TUa-XgHR++AX92
zwUY-v?0rVX<#)kRKS)WuuY6LzZB_vS0{Sz@>GUCTGptIJQyL9_{LKQI6(P%!m1Mb=
zbF)4tP8-%rqaq;u$-lcwD0?#SmsX;W%~wMjuldQqsnoK0XP`2YHA^!dNEl$0<L9Gq
z(z1BB>$dYA9Thl=4JlksHvr4v<oX96W$}y4)bPfD3Z^c<^Z8H15RP9P^BAtmq4JD#
zt96(voX1r8p1m`~)8rF64My^~9Qk->z+Y8_SxrTohZ=#(tiL^cP#!XL+QS+iYOsrp
z4K<+}L%gn-KKYUYRQ(n@ns2H>_))LzxdmhRw;By<h$uqthvEUz5;YV&67scfG(p6>
zwpU(Rin#eZQaxwQzs6~Zl+lt+LH|w8ZiAo_ro-RMF*&Irl;sRZ)d4dM(=1|HLX;qw
zO4+8=r;5ma2K6KzbFjUs_$TmO3CGGRZ-p4CLglt!Z}OZu4$nq2nEz3NQ9|Z+CSMhl
zMOcQPF13Jfp0z;3I%Rn0CA)?CE8~-Wcsg|#4Y%DxdoHpmBTvvJpW>th>nYDHxgRvp
z+69lZjVi&Q`_M*bK}E!@JnPNS2M+68<4r13LeWaKRNV`C?2{mWiTeV&iuLEkb|@j;
zO<ZW-8cy_AUKBWA1H}F%DB2Av;>^Vl{U;e^!5Eg>yOaxTU!QjDfV(2JpMTspku8lq
zu3;YxN&&KEi?lAGfQx~{3!KT4h;(E!yY>Kh(>X5xnO6a$8=ll_GKr(eE~Tp@9Wd&n
zy1aLh$Atht=ClkE6xOrek%<7JwN#Cw6XeiI#5Ktr6@p9x<9z8pV2Wd6?)nQ^{M?uF
zOea79FM_8BTByK_sdq_cb29K?k)d=K^FcTH#r|%3fXArkY`LNgnmlIeM3gCzp3Cl$
zOr$~PNt0^xZfRuOI27A{=0V??qrKaOXwW*@;VmS;mf!m{^Gj2?(a5)3`Amuh9Jdl9
zDmfBhoR}R->tBzelTJ}rxGeA=tB%HgsyNcZg4QoZuS0wNJ73udbL0ndyvzI~3aQde
zxsOSlDESz`Q9o~nKI?)ld^bdJYMbzvAJZIIe^6v^^bs?J*}09l`U|6Vk0V9v76;B8
zdl(-5*%TKpRX3dX6vD;lXPjpuIgr>c{VCqb6r2y8w`m*}#6aUhvwArPj-R(av8Blb
zR}0yy?!*az<C<jY4FOJszP|E)^BSLj*lBfze9w;ykD{MEDd5EUC3zFZT4OjIQ&iik
z!VjH|OI|Za)}i&Hvsa&?G1?cb9==cK!<3nosn5>!i2D{Rsa|7*%&>vS57hXO6=iyi
z%ZCd$?HzB>EQ~OCv?2j*6x>4XSlTUac;A$%^Jp?e&!4^fKgCnP+m_5y9Kr+U_X^r?
zb{OJndfBZvJ`|L^sO`<B@*;3ua7WXK0er6A%Jp@o;6zll<1ifs{_56~x6T^CwPB;Q
zunPskfi9|tK2zY8KExO!VgQfgltO!d3O*}(B-+2>gGxyAz2RDYEX`N#kG)O7>r+NS
zeNFsmt@D{&^3q4u{oh-Tuhmm__t%7W3V^+-Ye|_~A1?Bb;|lcFaMP6Jnm#9p$Wz_k
z?G04O9KP~yZfy?a3QzenWnm1g>YP4&mI{ukqsP?6`Elll=25R>B5-UFO7)?w@nrba
zih2n@j9t3ck2H$H`}sj*XLc&Sif&98aTdTkAtLOymN;(Ka5KN`)q~mhB=N251#!Y-
z_rt7W36S##Pamk(18dsz$GblX;=gmB;yNv)aIHkab?A;Bf>uV$7i)!}!Wm=lb6gr+
zH^MHmT+;)gAiImFR2W=-*>`u^%b+X3(I_iQ4+`%OZ}qJbL1JbHeVmponp48|T#wg7
z>wDd(f)-J1%{+fyNK_6YFO|~k?&*Q1^exwZMGWdw>y|S)<niCJFbToedWhP__9@m>
z0)i{*#(t~vP(N|i`RcMBv@__=?~0a$!d!K{-JAksRQ`LuWKPBAU%4?Dl>$fM^77?L
zMT`|c+-$n0FRP8rkIM_BVH!MY*4M9u1FRvnOMj>^b(5exKCt#ri#F~Ld94gBQTgZ9
ze)`aJcUG;IlSQIoN&jrV3KAwo42%EhLq6IrZgN-_vG^Ih@1!bzDR*tEk2iqK-rvi}
zlSA%UY=(!r8iMLRXStgjV)mHi?52bA2#x=1XxgL(^@f{of|m^8lU{#(qm%+dSg!@H
zt)ha-<=^3#MtHjQ-k5%?0&IJ~bX`hNhp1<7%W#G<9!^xdv;`|dp6B0|byez^j$WVl
z^SlYjIYZV8ZY6jyAOG!Ipbo!T$(P@J*L>F~z4W0JC9JZo<B|1Mhp(B&`GoCe7}NWy
z700ZM&DBvXdDCiWVjCtcjm`0dj&Nl2P=>Y+UD~LX8d&yjpZUAy|G%pg28rBMhFy%v
zqwo7v5g5K{zGln<o4Lw55~`K)-d1=qf2#_@_pgZFEui7SPbT)6DrM{+`)wmiQ3mx#
zgm0k=P`Dhcc_CF9cjvXyU8abk{mr^b$AJe~$vY3ZD8ovPv%k(*VU33kwyG2X&wb8I
z<<Bc2_h4*=_d_{Y>{4or`v_$0D4!D!Q^KLd@s5-=-A?IrX9=7JY@9tGIgcp9Ywm{E
zt0Zag?Y@)uZy8{?N4|_PR>V(Fr;l0+lGxOvkUO*hOsJ@t9zCsq$ybka`ZkH7qT04r
zWfT~%IyCyNKpsOS);FWp^6*}@q4#oc0cY`|7wbRBL0Cn~cD<G$ZWNx;+@1qO90>Oq
zpOnQ$g)0mCbo}_V60mJ^5HR!Qe&0@3SxmaWXaCDj!TiQX@jJ%AmxcuM0T~&Ddp$Zk
za*PL=WxvW&{?O2S@s$=ylSXTXPW=*v3%ryqrvCnG^KAU5b-GCsUsu!3uDs?%!00ru
z@mCA9rzMVfNlW0^>c<<~=h@L%uu)me!2%s-3?jU7V#txzd;BYr4gR}~b-!1cL-o=1
z_$WS6%s1?Q=9b6`u00iwvQp+a**%iLTrP}W&cz7-2^K8>>C5DdGy`c=6D8m;gjBJk
z_l_mAz~uh8>%A#ctp4{`yx2w%Eu&v55y66`<}D6Scbh_&<QImC0A#%a+KS3p@V(`+
z{_+bG=q>sUbZ_BD{<J~nQDIiF#pf%1p_%}pPUV`Rd`R`Xe9E$v6_xBeCEN3iA(oo<
zr>2ntcNcHo+2d^Z{E5e3UECNSvVI<ZsY+SX^>RncJ?s$A-=d?NVuVgwFY~1$UQ`I>
z@%J3zfF@UElMKZOXG{uDbKCObTS59I+~!2pW}~aRNro^^`FAFAkq0%WuQ@kNtV7bB
zy{$Kd4dFm#q+j=f2R?7tM&{0iYTKMEQFjgSG5K!nn|vNTS5C`I9pi@V%Q<sH9Rm>O
z<=Pmsd7#`cwPN>{2ZT|kV1J`NiiKm_I3Dug)3#OHz(>3YwyZq(#6ur>_D=au9X$9@
zIIdBePeEQI-v<7_RA`kiNqep5MNM3tW_Af5eh;&)H^`zw{)@a@zZ)<3U+$V*e#wvE
z{E4n$J1SiED!5*)<HhL??ZU_z0gUD6{xV(T!ywV_XQsLo>`ve4B%mb(*BJi2Gi7?%
zOXYku@`M8Vz=MS+&I{vpf9p1ZAU(vhzZ8kz&4<JLJpK2Nh=Bjuqa3QS9ztV7mK`|x
zA?|wN#Z@mcI3U;j2b&(0E>c~sTKS=yzW>d>U*hm`b=WvHpbII+y3*vee4)$OmZNY}
z68*QOCI2<*LNsK&<;X2T)OB)=4ya1we*gdg|Njh^cRbbq7srk4z4y4>YhB~I_WZo8
z$_gb^6p}<rG(-|w3K6BGK|-az(o)9#v?ysAMPyUPuOwyj^Y8iN{dk=7KCjp7JOfmN
z+QuuGc%v9E(Q{b_=L1}eyCf*6T~E=hC}TpkG=^vHp)7jr3-0mosG*9(%bU2*M04`c
zhJrphFnFlKr#RJNuXIwNxSol|C3;h;x&mGs_<JyTsdy@!mBu#8#I~-;wYss2xaX~T
z#Z!WY$-k%Db}Jhp(@wYVziuVi+VI#uRnx$WYpg(ttw!Kbcbxd_rvlk&$1B&3G_jSj
zSiSJX2yai1Q~pM&BCnz>KF?kYjo;4B)2PN6ejJ|TWlaHlm_8-eRU0|}i!0X`8bhGQ
zL0&*e4au_2A^y%f*j%LgOw_~#(Py>)c=W0v^<(7W3R61v9hVe2(rE(Az0XTW9;t(J
zKTyL#NEiETqkO$Cm|`%8@2bsdD)foAAm2J&#C)|6%-?Q?Fg;6mhfOqW^Qme4xls>Z
zC0=^<tIgrLyYxzqx(4iL3cLAV>cLz?(r>qg1s2pZd-wNfp!sQVlJJ}!j62#n{7o&<
zx<Feuk*<k<l^y!}vwHZCu_fz}l@&(IR4adLYN7jWT-b269%vo5^HUDim?PF655J{_
zK04>_Wawc^QG2(Ciw%f8uf@}1+7Nrae_!ZPU2NXBt37A6E%YkfeJ3_(!}i}D>jS6g
zXwn(*x^GV45Vtn_*CX24Gh@3&%U1`=mUFzp{J`WtdHXd-wZX=aeH;2)3m*>G&)<&#
z(C*^7W~(+5;zaJQ3f2V2P<^*hEg<ru?Am~mHXi9bUVrof4Yk_>gKC!m^^s=>^d4%V
zA@4~1$3N<raaa<rGO$B<?S&Fox)$<v<b0HM)sXu<A+FTj4%Y>bB)Fw$qG9?ceJD&7
zfq@En%^U2XI@a@kfz$w;_Q(qCP{OcV3`Kdp9lq&4PJH@<h8fY+8>bB9AsG^C+Y37g
z-c>upT%zK?{o*Q0Mlw(sju&{VYzIo?;UXhGDpYJ$rLH7MqPRy$x@sKA^$y#zUqBtZ
zw6-^kNQvXaE6cKiN<i**#>p6dH5~GIaqZ8P2;TqcKNS)SJUJ0HVb4#&$f<;o{;h&A
z$bI9~U<er5PURgHR>g=bQ#?A156vT+o!c7;WHq`Nml!MKrAG79r}NyHJGJ3numJ%N
z&4_I&fr_}X!c{v@iVJ<6!YyagZQ*WwzVCjKJWR(nB-|_JglBT8r0=i|V$+(PyjI9T
zKH4eI;yMS~L%z?hakPPrLFnJ~BpEmvIGPqOvSTjx@%WRg)({c#>H4H34c_CPKNRk;
zW2J=+EqmSy2d)h>+S(=YS%OE0b)6k)LT#RxHd!IR>9ozehY~1`q<Z(av13fg=u}9J
zB_2lqmW;S3j+_LMYpRYM*wM>Y<*#Omi1BfD$wo0urESUc?cxC9D5;-MS-_%W)7p_0
zVu(^*n^IE13ERgPDn+NvF=W%JH@Hz0I*9|~{;4aF6Yx#bdb>Gz(p-C9UKGJ6F9W&H
zSzLJIMa@0ZVTOa-1so#o3!`kY<?NnHZj@}!k7DySL*Q1|<S;g2%++)VM9lGkd*!*h
zj*q5rxUtSL@vsmcH|@=OwSf=1o>PyRYfTZ|cg5)<T?pb5muC!{`JrD=+osuOf>9<9
ze>0a5@?*@0r?v~?;OXKE-N7dCwMy|jDj<Xl&;M5T$O@yodJm3I7^A8`X5Pta`F&b1
zh5B6t)uoH?-A))oy(8M}Z?+JU5}M5DBcd1@Q98eqVvKu_w_87y6h^4I&ItXt7_#1N
z*VcMwg!=+3XMR=-gL}(4{X#wod=BwyY78}k&hr<69%&-@k&LN(#*$ch{F>qeaU&=e
z?a~Ui69sMIMMGMQ6zs?UJM8p|iO5Vv5$lhlV2p;}5383(>}-_M^kF96QJ!=RMvGzH
zK;nx1hO+p0Zob4DOk_DMT`AEP$33d~!R87%j9!Ygo8n_4=SJkN&Pj2oDSFe6xGA7+
zx7CiUPDA8tf2<#Ck$~dNn;R}min#e~@XctYA^iLrs#Y~fqG0~VO!Zr3<O(k|e7|al
z=VrT$HnvKECcDOrV}mMeD`p=aIctdcmoKO%{z>CUrfuqo9|aum&+9g386xz0g_exI
zEWSMspi;M~K`s%OX08}w&c-KS|BxKi7h-80ht%=&Uzn9=l_4bgwJ$vFS=PD7jgVJY
zs2I)7RHgqg#6_CWr+`h0DBHj70sk8sLM*E)CN!Af&OBhXaa0Lz_6?uuGa7is#WyH^
zkcr2ey|`k}sDMjJH*R>@hx(5_i~L_V6FvuP=zj}UG5R}<&<oJU>LZ`l)cYHu&wNXO
z+;IxrE8Fv@PUs;0R4?t`xDmn~*El5aR)gr-HQqkObjVl>iG=4H!>Y-|SSmmrt5MGz
zc25`VN><S}fhH(_nG|a7w(Ls>U1XyR^l;0&yRXyA6v+-68yYQWQ0a;v7uuzdUrz_!
z%=OKXqo0sSU(Q8FsDNv<umPM`^ZxQRF~?mo-K|V^O+-ZSy!d+10G~T5e_OAyz}xJr
z?rWPgasMf2gJ7uvnq7V4-|w}=xMmDbd8QUF-mYU#W*Ok%k(_hw*R62d^rgLrnKqaj
z!OvWo2DrR1dQH348jm>!TAZJ0gVNi(3&-{G@4}RP4ZAHIW2a?Bb#zc0@a*|ax*p=%
zqXlHt2y|9#8^05&1FocyJ>zb=xUQ12!&?T+`uS!moT`I8>-9>O-sr&a1y2?&6L8}c
z%QlJAfpGwJ4^2cH5)xbe{ilISm+f~Vp@aNiIoT6hnz)dvT$`|*3m@nWx|=$+VPcrE
z?=g)Al;67Em2L;;s)tT<9?SV9ofdLJQXTo*jtx~-+98v7eeKCBT1X1~v!1zvf{-U=
z={oQ2U~)@nw`-#&jsyos++LxK#j8BGRX^C_G{0$^Z<hud-`sj-V<Hco5B&^gjU9f+
zJ{WcSN`vNRYs0H$(s*8BFR&-i4!iQIVuoH(K{|g>6^oUC!jgxp`3^f6CFtH>C{~Bt
ziT)L(S4A=H6&AKYx5G=@zY9DmYPeY&LrZlR#2Mk8zqAH{gFa3_1-4MoCETcRMUEG}
zT#Yl+=K-_oV7)j(6>p+cLuvUd@R5CVG|~aMAIMW}>ZyzsZwFH?-mqiDk)@f`M!=-F
z@velqB9`(JH|kKA2<h-oEi4)V&3}&(ZY7URL7W?YG|mxr@*E96qHN*Py56llKo;!}
z$*h2g8N%ttWcj-)8=MmHz1meE4HujH{7T(Z#A=S(s3sm8SnV5oIL9l6ecvAP)bULb
zo7}=1m)2Y3G+#tTXSM_u4yNpX_TeAluqn$|s>BNL8Q@Q}7l#~4=ej97MaU$_mtCB*
zL>lR*<s&JE(eXgO$PZIQ!Mfl6Kh{~|_=Oi=cJhis;*sTN*S=}uw*2mRn{o@-CwTO5
zSqY<6va08%{VWmbC(%(WYJoLwazpM#f~b&@uKzqRM?CNDTb;7c9M`0{w&gkt;AeV)
z$7|LCvES{Z=!GsbL`1enJkaEaP@UfBr^Y2B>-H*jE;loL8}`|D#EK7Z^`|c1<zz?R
zO=q2tHKs5<^mFQ85--;DM6X<D$^nkCjm?WjrbtYUy6!a1gKW1QajXPRL|1J-dEu@J
zI*yNgZ@a{UuI|=E{;w<W?)%ZY5<L?PoA%z{7S02{9V-R<T)8oDztr67o-r)me0udO
zhzBM2dTsW#@Stzdwj$KR7*7=%bKf1|!EHHaPVhcHWE@>XajY|f^1!Y2w_fq!d)w@Z
zQicF7dNrP$^ff{R_wQB54S2B-nB;bWR|qegTSN<fGMDvf&hw~-7h0N1#tlotke3cK
zJ9LVP%dZL__3Y+b&Vd72scE99@zc|JL1!Y9qi5HG6F-6)FPPNa7DM2GyeF&45IK8?
ze|kUw?L&!oWxB;N!1CvPooEPc5u5CgErJly=kK=FlEhCz{X$10LtIO!N)#v(LVB%|
zTF*%-NEn-*x%)o`v}K2y){2OrJamM+ltTtP3TEDC|HpvD7LQMamnhZ<oS!nwl|@Z`
zZu-T83<%yac$jP;hBzk~iri{>6lH!HKJ3Q8<E8!8HtOQoL#KVaEv<;EjkWJov>BML
zn*Y8^PXZ=B;tk@<x(-Qftvn#gK#=bJZSiX)5kPypK8;ru@7Bz?6mc?emK+SZeL@Nv
zj~SA@DiplW)_4BCTn|5_7@ylNjZ=uT^KnuGZS>jG5^)Cp&L3Cpbd<%_E<TsxICZ?1
zjk&bPkb!|A-`Cx5<WOum_OZN{3c<7U2mS;xK<Tqps}55@<E1Z@Sz!&#oX%CAxxv68
z!EL(g6eV!&K4k8`LlgD6QbEB>%Y8i_7$+u_am0jiX;p(3LR$Zll2L}(ILDXi9I1-v
zSQCo_dOCP}Md9tx%<{iTi7O99P|&$1_>p-!9W=9ynUpI`*zGF_@{Cc#cD8h`D}B0{
z)hM)Hy~PN2L~Dmvk~+lrINoff>Ept&zhmMy#;7)ZdQ3E%ifO~f;00F${QAnA5;HeJ
zsdD-^wi`4o#Sf#0#sJY!UwFd96uyS%-MT9@!1bwPV}2R~!A~o;oJlf6^j;yq2ah$O
z6}eR9-NJx~(~ZqP8qA?S+C}|-M+>XSJiEXt2Gq8MPQ2H!#9{H{zCmZSk>%+c|74s2
z$FeO(zcQ@gcd$&dZoLl5^W6F3s~N~HjCF{gvj*Qu)K$&uK(e;K&)<&$|Av)Pky~xy
zd?+%^DR!CPsx1BNPZ~hAciQt`HGx6Z{sHP6I$S@Fop{Qr4>q%$T){-(Rb8~G%`hF_
zvs|tUy1Lk<y+i4)upPYG>sS0}UCwVwjl^bQ9Ta}iO}9(6!@Ag8$4xWnhzpEQ|5>fM
zyvME@7f0<7CGPAlB0)!ln)S>_XBr#|@=sS7*(0TMr-Jr&9oT$RKmO>A8f3Qq;cg1F
z$9qBlf$j`#7)njiv^`aq@ACqV_!xUI%9{_5oY4aHa_d|7ZwiociyU7aX^;4#%H-K7
zO*FAtbz{2>7~_Yy?|IteWKa<QS_=(qnEAB(?K%mVow+4escH|-quT#Aj#F_)+U@R&
zU=dgpiBy*K*kP~X$4$<c)zQ_n_r@~;KD-zW3T(_??)S>ChaXm|A%~jxF=3f61}g(j
z+u7KmDMpCv$Al_!o^(q&c`p)%4KZ!+yMdNp`&2{RRUkHUH29zJ6w%-Oa-k&w&^w>E
z^G%~7?q+xk?^^$xxbI;hzFH1=w_wq7Ib0q_f1(MOf5U{*p%UNi+X)nUe(HElmqqf`
zf=Q>Mexg^qF!xlxEhN<r{4SD^hTohsx5=X}f>kx3^q|=WyxLkVhEz#-baToSrneK#
z${P#ig>A6(n=E(PEDrm;wS#v}zYxUf>!Imx)-bmA9`AT2ijCo~oeb$;h|<TM`srt^
zQ2k}sI6Yq&yqT<?OH*wGX}IJW^u-dTL#usEIR&BdH=#PivXgL_u6&?HwS=d^#XQf4
ze9*H|_vrNMA?|do=KsFW0<!yrgm&HK!6R1{2c4NdBEPWmaYmy#R2-kUnT&8@wM2V&
z^~@mgzdeUUd9}>3*c_^25V8Wbxe#GunD`WNXou-ZGqg08-WiqQ#NYocl0s|82!q3u
zX>((yxb{wHqY66*{5|7%HkgbPZ0<W3EPPCn#QSttr2;$pxAySnt4t8mC!Pg;eqn;>
zGq*qd+{%Ulrpmoy#Yy5)Ttr}{i3yy3mS<irTOw{bE{ewK{v#H0*i_!$Hpc5?r#ln7
z7m2}LOmkDuX`)~?U-|;g7;#!=Lt>j2iRtIZR*$9562tB`=k1G(@bmCxheG*9g7qhC
z<H62(BEM16GfTq=)O1Z3EZ1B1UNzt0x<u@FQO+1FV}hC$V*JEsktnFLp56UFHhh_u
z*kEhMgyxU@huQBI3A07xvX`qk;OHVcTky&dcm3*%_!E{0A%)!QD<5;>Vo_7Oyq_U_
z9yDF!WU|3EDL~|<Ef;>Zc`ZHp$p9b!s;5HF*x)dksO-?o4R%J`$=p;1qOxOXwGr%i
zCUmf$t&kV;dBpu@Ee3S<yGI;mazI~N<a^XnerT5w48}zRJhn=xT_MehZ}mbG)@gz$
zoSs?79MQ+yQr#9WnH6~BT9xWpBaC-DD#r|*^wIv2yW_4I7w!qsUcO5g#em7Pov&}{
zLHSe4?%T24*lEp~`Jz<}r@smAs!`BGVYG38LMIPuo472i%_Y!i&*?aQK^Hn9{UZ_~
zd^nkH*vtMz5?-Mdn={pQQMgrW;}3BGG+q{n8upXMsIJ-RrfND8#Z$Fuqk{NwZU^hN
zye#Cllu9~>(vkT#D>e0(Fy3qpx%-1n9#`0Ep1!2eA(`Q&m6#=p5y@Xd(L#z4Dsl}7
z{jGy@S}W=uUy9-US#w@*du6m|=F8vwqJs@B6|GmqB%rePie=WaFHz6r@7lRs|Mz`o
zxLCX-Hg{4C_MM|(@LJd9g+DsrHoKlJ$RUjzmqjBMeyL&hm$ko&Ast3S;ZtoTGPry0
z1^wd|Ds%;XHHEY3IMLQ8kQgZkUdFL=Kl*843kxw#RMth<8PCa*bqct#%9MXwoF)uT
z>geXS>4LGfL+!vuC8TKbOuDOT!!<hfXG@(PS{?2x`6sC$utxcS&nF$+aoA3b{nUqY
zz#wH;zbfpHWH9qi=)zm$!D%Nt1NV=W7wAZ;p}#@wQh=2{{NIYXC$leesM`M&zj>-7
z`WpAC_C5ntj)tG#HE#&_k*=#H=c(}T(~=Z<!hp1|-;F#aBkb@ouYAx;gDu4<IwR5$
zhOssNr?wemO8~pHvYsXmXLEk}%guyQ@U*-~vk6|EP)zQQ)<WI2{DGT?n2_I-?V%iE
z2EW#zvCiAt(507ae_Q7Er4pieLfit~-_vtAKI$MisZ7J@D-+K3vaej)ERoq0YJKc8
z9mCvtVW%sYc)EY_o5C$?6t$e&;q*usb9eui_Bk`5L?78LbjTK)O4&cJ3)RDcPaC@F
z%l!O{(PqP~3Md;Im1lJ6L0;;p=WICx)mP5wUi!1_&ssg(SIg>yRncEoDq?^fvHbaz
zdv;jxmUQhG*2j~eq##v4U91YWW3FFkj~eF#3|CSQ2_ZqDLEhSE5Rtko(PEFrJ4@yk
zdU_B)FBx%zq5=8IzKRlt1A1};f=o8(BDRqTy4|IQf;IaFB*Glv;m^qMcA=v{QYLlK
zO9h>mc1woEJ7BVdLapJ|!QI&08#j&RAh!9k$NpvD$-0v$#kI_FIfk*ji!vlIXPj`w
z-`)XD9(k!pBsH;Q5y70876kX&!$0R1?GfV=6PCN5hOXK&rv}9ppdU+k9aCzL_L$FR
zM(@>^eIfLTh{g<2d}1N$frC9N3&!d^sA}+=Km3*3W0<)3NarD=bvgGFjVTpJmUB?t
z>sI!qmjttzyRJOY4qvuhHagL)gygxSH|tilvP$YWzS<1~)dSDXrQgVd*MdEH?WG~s
zQ}>D>t3AMH=ZFh&!!oe8$+Vta^NaO$<^RNrCJCH4^XTnk3n^@MjAA+8m|zK94hr2W
zK;T*MTvAoFI08yKA$D?-rT;Vc0#nO&dEUyw4`M{29?BD`a_TQ@u+U3>#MK6A8$S(w
zs20R4D_&WjuD>j9Gv2b1{niK&{vO3O#fz2annt9{|FV)K$QSlEt>A8S$d#4F1#`Pj
zW`X)&7A1?X_-&sh{=_*2oj$>Vi4sYpdp?t_+L19HLfsO@BBqqcq9sC%XF-4n`oq%J
zXp34IZh;&=VhEpS2{X>ayH@&4u%Z)EOO8D@$7qK4@wxN=h<~Q$)h8W)v%He!0}A-f
zvD0;!OQwB-pd{Y1w=)}OQOSFX4qMG|a;5p<7Uf^W_VvP58IeC(JzKKYDLgZU!=CD<
z+Kt16WOdAx#n~}d*oQ31K6O)^-s4+rxMqMT|H{3gd0>Q96IU+cd)frt{*tCjb=|}S
zU&r;j@L|?bMv;Wwlrc^hoOWvEYa@J<><ryBf3Spax_d`%H%7;;{sx-;C*s1X4*5BS
z@2p$u$@zCXjF59+2;zBl#O2?ap?1zgEQ@P@k~`NKp<wA~U7LO-;c~6u%d5MCEDzp_
z|C&B9Q9k4uHmh--NKh|*^T>6OHB|c5Jj#QKvm44-cWjDTeC>R?d@6&iIJZLC+-06(
zb9XUYMSaSO8rv3lOLLHAvC_VpzQGXZC(nHG9(}>8xBU`c5;Dj-?=x^yvY!E0!Suml
z+Xhy-^vkoZt%I!Bz5-U3Q4BQ5P`l4de`F;-N?L7xaEO%~-w}44je$>V2TY2Fn^<==
z*7Y3l{LVV8TJG^i(*T}tNxhC6%loSLXn)$KAFRv(>B1CmeZ=N8SNi+5u|E7et9a<r
zFssFKQBU@S9t8Bay$|B+U_JO>f>npuD2vwL#vjVkUFIb7q{zB&tc9_l*;aClwRm+}
z%42~JUL$p0Teluoa4)~J#qFOgCUZir5_I(XY31j>>}8EA5W=?M<1DYUDg3FaI@r|s
zTX^2HpJk9GToQ8aH_ONGs?VJ-+F-?OxTx}PfYlQI$mZDW1S`JWdYvR)8`+K=cvU&X
zdOmnrE-rqOH4}RE`Mne^IHkq}eY*UEwZ(GabE?KaR%r43p~JnJpavf5-*jt)C2vuu
zvU_QYHDpqSgN~XA_Zl~T-ap2onksn*@z1haZIvrZ$~2HPVe0e5;}=Wn!h)u<+dNBw
ze=%D|UIU`r^8^^P<E-trMi!HA7FkYW8=ZR6XwYaT+qHI1uu6YEU-kVZ8!4KgaF)tN
z!>E$-0e|*MmY+JuepP1<GB0+^56KiNzD_Xv?$!KdMWz^Ua{0?i&OV^=OmI^%F0!&a
z;>Hx~WbF>6h<9A%?Mxp+G)o<w;nyRKYGzo%TetL%xAKrRlvg1g6m^IP{0dX!pJ%yn
z`TTk;!B39s$e!(Zq6S}?F#q>ii!8N-=6@n-f~4kVmmg0zsG)jhAX)nk8+p*%rJm&|
zLQYZ-$GUN-VSn!dbA1yIa-Z{NXHGRSa>=?rE$0CRFCA;<a|bv{QQ=qBZm-43uNTjx
zHtnHc&8?fY8(3VVa?||hcNZkdXMVJzG%E^@>Q;QNe8WRlO7ZPql`BmSobJAPS%QLd
zKNUIMdHKoj9>1^W*UOT_J~{$U^Qt%;N3mK+6eQmTIGEJxDUio@t#YxLR>jp&@JySC
zkn0Jx{IqvUB&&~jUCmE{YxVI@O)_HS)NYwzpY^Kb!}7pe56mbqRncl){Y0D$o>$`0
z7@&~nWH->CrBLu^n_V?ES(0qP@Rsd4>ZF0lO+lYY3LK@V?Na-sN%5a4ukVG@$X=zM
zKOfJi!RL~k|JfW_l1aI>zG|Z;`M<;?CZ___aX4`z?Pi}mnPJlvw6sf`d>(%2)7NcO
zJnT5Tu|80VwC)Oa_Pj<XR}Ne1h*r>0RV26eK94F{J{0fbJ*-ET^~d=+xM{+EmQAW{
zKZTqL@z^u1${=5_(Pi=w+9-BvzMnj=M&1&+|H{Y1kW}*WsQ;EjM{C~u4D0h$GJ~UZ
zuShJDEaprO+UBc|=fP|5D?x+w?(8$L$}%GJk`{Yq>KR!1zpJ^)lbU4Z(Tp|!Wf+si
zu?_pKUSYx|JbV4y+uGz_leXKs!6sy?%I&I)_l)5;bv>KuPbX7)Wfn*0OvsUU^FMCR
znL;_9hw*+!m)x0pao06hQ<8e(W>`mz1uk~)NqDzkpR^io5u3F$B^9GiO|c1DBZ{tN
z$NkcPTzN!O{#=s@`P`XdSXge0;^5z|V_^(3`_;pv^8buUw%up^I*WiRwUb@tuNmaI
z#%FnYWkzK3nTQLFE<3b-YOxrfWst0c{TEB;4ao`(@r+0R>@i%Do+3EMAV2)BWRLh|
zKnkT)lh%C>P~HE}vZjtf`iF4}iSD42@o{6p2Xh_aAGDnnvYA2NT(AAC{IUiqXT125
zF6IR3wA%#zlmS_^eft5kdJ3s1Wb1QrjT0vG2i~7z(<ghzv_n{?@??8!<`?&MP8iM~
zu8!5$B{#3<3%QjhMjmz8KWU-igvxBrfoiG_xgclb!E=R^q{hA1jQ;3|_1Q<M9n14q
z)M;#&5FBQ)dv8kY+~kP!i<~Xb|D%!S-#@z-AMYoM?o(O9O%7PS>(7tI5OtEm;kEep
z`5aLz8ylEx<p2Y#<YZ|Ig_KmB&pSE10vF{kM{8WQM{?<hkK4MGNVTUgstnBd5qmsk
z+K$5>k8Ibja=t4^>Ynl+FBKNXAaA$KnJ_!_nI%<=)ku+AKKXmaHi}{owJu?Q3*b8}
zH}XtOoD^^RaruUk7(O05H|Dbn_&)#u0RR6C*JmKrZ5Re{d#__1viIhkW6%FZg%o8A
zQ5r&1R;A+2NTpJwC@CQnN|Z|HP)dr7$fiVQB0{0p*XQ~8+|PaeE~X-eWWGN?<5-f5
z<i1i8WDClkT|G@;?@DxNs~#ugk3FNNc7y~6eqM*BL@UVH{X08#iJ750+3rT3CV_To
zQMV(*5@R2BxwtGY(0A{BZcpkWVe(tO(EH~W2zWUD_esGNy@S6aL;4{JBkj6c*GJ7E
z5p=5Hacm#`$?;-?PcbCSTU<)eP%_7%=<!>DS5oM`gJ*)Gok=hWH(fp$Xa>9wZ7wG|
ziI+NGD-UUqVA=A$>S(zs!hX$hx*i@Oiroc5<M>Hf>dM-5gwGW638k(zNz+7(w6ljh
zGYQ4Z{Z54;CNTeUM?lZ(H&NKw{^t@W3GSg8&F5Q;p}?2PU-#q>kvV&cq^n56sY@${
z`7nm7NX{3P=PSe}iVZc>g@lMm)r+^wjc|JYa?LwaX81)`T>W;PgaVHAX$z_mcIK)1
zBrdQ(*Z+rE%K`~9XV_Sr%M78q5NoP&n++~c77zS8D2z3&*C*eZ8{**9I-M{x4zzqX
zS)BMM47%S`UtYZdZf_6PyH(GLy)C-`2^5GxMR?cjg1-SA+y%V-J-H#xTrkrbB8nif
zuVr8V>VqYdp*cIm1J3JAmL>LLu-U5fD?Ljeyc^C3=pW}pdj9EQafl<DRZPRrULOH-
zhO<|s1Q7YuATHj8jHZ3!YmygfxG)?OZ~R^m%Ebv*5it@NW^8D__=tw&TZecS-v~kd
zrl*Tvy(E5~Cx03`Lc=$e{~qL*kpL&Z;2eq+{(0maSGJ<z@h4G+!vkSx+L)(aD3gZ4
z{r|QukZ2H0ZSoB$7eUNITa3A@EOx%FjaU6i#p{>%i#Ifgg8BKW&T3A1{Hqr)Ozxz@
z&_ZO9_FD|M*Cu4m{F2AstbLbMKT@Gy`pr*)N=Alo?zTsh3drns9%pT#!XP0_ec+@7
z2D+Sd4QCY*l4$s6%ODl9LkFGa`z67*?I?#MhcYTodR}#6qoIM<pM29z3jWM?*{+Hz
z5KA_bbuywsruRt2-5zO>{8H$`wyNNAo6jydMnlEV)ZamovZ!vJZ!0>Wh9d5n8&6wk
z*gr3!&`XlX%l_W9m}}}_TanIX5c)XG|L#-olsx+03O|*lYd}}R#p6qjKHA-)P6mBa
zz)0tBR$8wn(nLR4{q;3Kristy+A2k?%z7S+nb5*ot8PY$fFW3IBD7x?D51jikpA3|
zHV%g0&A9j35ceI~uV<$zL)F=~^JTRTIL8m($a-RgpkUG=!;>nw&vIjXLZmJZJUXJs
z^}rb42d;(H`l~{J);73$MHjhAzY~(nO(3_st5(HG4K30<whEi|U@^;ayt%;?PZHW!
z8kf{yYdrl{YKI=kU6htR(`F#*L}Zvs)S)Htk&>XRhwDkpZ#vglAhn66H)*GVYALCo
z24%W%OSu};veptBTnY{gH5!N$SeCdjse_qw^>r@0t>A9IEpA#$6QnZfh{Zl_M0}D<
z<BuXByKs_a>t;<P<%Hx*p4Y<TV~XZMt7{-eDWd&`w<c2T$jL94H1H_0!XdU05Vwz-
z-DshSJ`q3Hv*zmHdehSt!)=Wkxpb1rtOitv?{9K)Uwubq?wt<q*2w?<Xd?Es29)>v
z_fou+@uDD<e(Ah5%<~yS7beuf`{)n(iHjnb5+jlai>;wbI!Yd-sY5dC*I<*2JhCLx
zO!Hq@V{hM-)tt8)<~8lMaMw#i+(1X<Z-q5HEgqT-1*yWfVgJ5tHAx6@!s_xZYuK~w
zk}=(_f+_xiq|`<+IDU|P6dz@cU_*YFt1ikYKfmE6cfBxPD1AMqvd$U|l8V%S#!BcA
z$qCpZFN9Oi5AJScvqsKx+LX4WA_!~ynch5JNDrl*eft7ncXMYrEXjkjnYW$(iW4h^
z0-hQN0ABG-|LJ#f_>k2b^zH&1q(%fq8rJ|PikM6N9>_qnlaKZOUuMjX-b_h5Lx4ME
zYw@XjQjpg>)p>IMA3=NlF{Ssj6#_j(-#?;DA~?Fq?8M3vp{8y9?4pVl?z~pD()>-v
zBA-*;>4`r?PE_|(mm`+gG+J?=*GU|^$KP%Id1sMm+}mLrRAT|@>*usn>qMdA?Qg${
zeUbR(B~$cD!~$o|J%41mM+60mjvvPs7l@L-ye>j}&GE+eP}QKSFvgyiikSs35@-Iz
z->j#bVV~}kCqvvMY>wgJ>9P4kJQ~+evXe4HUC>K)TLB?>erw6NdgL!r>zF0NIA#jQ
z{!hEl?-oF!$ZmIysU>2&d~wRwJ`?O<+jjKNI3HF-`B_AYRtV<}Uv;%@O>l!l=uzi=
zUd&xucRhbI6PAv%jMzOg2FFg?R>fQ%<Su=F#<i0f5eorMPZf>fXvkyN)69*zFb$sS
zWEM34N%cugH^Q%z*NXKi+{o=a7))<u#Z_abRJxE6{7;+lCslD_Lg-#bsR}z<ysq5e
zf58xpj{d*VkzAO&%MvhjnFIO(ZN0aJ3{jBRn6lu*1=mLQ4s$XWv^56U52qV|9`WQi
zEr<&&rPJBGkGXLqHnMC^(EyK|sSh6C<bwP}ce7{+F9bv`>N=O{L)U|yd+P!h1h%{p
zJ#57fHvWIf_g8a4SoOKCQxrGyET%6ePy}IP{b1O1kOqS|r*9%MJh1SdWLmi`gruGC
zZW^AZA$3#6?xVvz@EX&pY_B5Wo@VyYcXb+a&#v>%_{0l0->jWmCWVpAUJ{)5iHg(F
zwBKFd`4E2M$Fn7>=<2*YGiXnsB5Gfe$)LOdb_FMyh9`@`Y<6qaBtgYbsebkAF@jLg
zfA+|QnT)snd(0x4s5sI{n&68Q!hPD#6~&7Z;F9nY7kNiP{2!<NUcMxx6CC2cCTlSN
zy!Y&}3<{o{WBNY4K^PrdeSU0Qk%E)toc({{6r?D8DL?Kgf=??}wrpQz(4&7tP{xM>
z8<VTAdjmxw<(-yh{Y?%nOgotUHc{}PrZTVLx)?OeX65r(6fnInG~$>81r_6-fs2FU
zC<<Pi8>Fa+*}$bA^&S+Qk)dWz+Dc&e;Q6opTa>_9`dL^XO2Pf=E$dldNy202=3u5|
zWgJ|xwinB$pxnY+#lcGoP2<+;>TN1$ifYT=F+hPn<(J$+4jF9CRZU+|UER}#uNR{X
zsnEBVyp#1o7LKWhnGH{=V_m0Rn8s}?23bt6J#>@D&0)><Tb&v(iAc|;sn9@H@z?`L
z1-SI6n{-pOK=JZW(t1V1N!blHfli9RT#JqKNo^D-3Fr7luexIUk`9-L5=^bUrZk@E
zpu~0Rb&j(EN-YZlgLfz+W}8Kud$%r>XGn9JYYlPTJ5^I>zY2<{N}J0+>!HYZt-Spf
zBlOygP^`mML4^8M=(|wR%9G$@9%+mscqmMSso_TQzh#+B3I;y6U0Hc-f{Pn}X?E^W
zM?zkSxo$ND>`GsP<k`(oxJxq6biD?4uP`dk(kWQ(|5shU!yIk8DPi;6ny8UvO!!@<
zKv1nYE##F2c)jxH7m76zk~z)nY)nD-Sj=gLf)x(TYWE${)q<|R;Ko)TJp?WuV+%S$
zz+b6Ka>HpY(B9untenyTbIk*t{hq*LVE@@21zHHNZa=)9rj3v@f8?TufQ_jUGR#?8
zU^}DcR;;IqT<SPegTFO`ibWgPw`;+Df9t^~^J)-z!TQ?#l{Ln*jh}P>)Wn<2G@*+(
zRIuf&T|z#;4YG`9d3J8m1gGM*wtZA3{B%%|R<W{y%Ax$9Oz|3UvoS4_e<zRh<D|4j
zHyb$pNZF`)MIB3Htbdb6rD5#6{_!za8{CZ>lTnRTgJwkF^`r3;X!Tz2-eGQo8jg1{
z9jp0A?0#vX87+z?VU~&xAscj+u37MtP(g{4`MJy<A!M9Y(7W7bjVp1A=gL1S!J=?Y
z#IJ3<7-o5}Q7hRR@9iReLjF?(%_r@4`xrX{pWj}eZ)T0e%RaurMhbYFe4x(Hn;CZk
z8}h0LfLjlnJ959s;haQqQXuh{xI5bXyCW9J-RxS@8X|+<J)^!7E_1{+Dc-%qazM$L
zO@)@Q6a-#fVNQGXlh~qT|9xfE1K!(Y3|l%S&>{cAu(xT9FqB-s_QgXhga$@-?tUYV
zkZv+zt2IpAc+aWOHExN$w~ijy=@P}U@z^y}>jsJVml<6J>Xxv!I9%!=E`pUk1oM{G
zFNEj3XQW7w1vZv<3r`+f&5<C_J94RCh{k~Bjt39SVI?Hxdzw=Sm;G$o+a13Wp(^R8
zT7R2?dQ@+$DV!g%|0*uzd>kaQOut_#TW5x9fprt&YP`@4lT%#!IYczrfAjTEH-&KX
zkf*X7H|%%%i7j3lArd_!5<dMf!NPUNO%q!=u_xa6YD(HT;lD}y1=~gwNKA$qo3^s!
z?}_af8^?YSzJJ)|x{Hjl#{9KuYr<-Ndu{GvvYsa7BX5a-WDJR|^OjkMSP}0$dOlA5
z7m?m)+9q|}2uslo<E7_W@FQq?x><dWC}ieR^BOgT>(z^CyFW8yN$=yy{g@}5_vZ$G
z@i9dD_K!My9GS5Y9XDrnaFKXHHFn8wF+gFco9W|mCdfG{)o-o%OL&`cdERt1fa<e*
zsSiq+Q14mU+els^UK*qdKmVYQPa{ch1=5+o)Zw;c?M5bK?!JF<X|q0pwwT2Iy2XUI
zcP2iPGMSM>_Q(nNOoL;QV0&8~69lF|_J%F9;1^4S*RKE?HVPgKJ}<-!da6}ddl(xo
z)VUsgHbaFsnb=?-v3gEQeKN?(0bZ?cqx#hxd3)Q_^70}xM9e35#694|P4%jO=5kb2
zdYqB5&tO5Bg440?FmBWl>9N!o6c~&?7Rm5pMFeZ=g3aojhxNpLY1>AD5>x36ry(17
zi&Q8M!Tk94d>_T1jRNg~%1l2BJ4%+>@0HyW1hGV2FTY(6mt$S`lyBq!=VXO&B@+oc
zj?v0tHM(do>D?c4W)*+elgTZs`6Kl=q~Ih)7jMPq(v?TJu;Ft5Roe$5(EfX_RjWt`
zUtYC~yxGSCb#I=O^*Um(4IL9p)7OEp>*?jg5`3VTvv;z75JzQVf(6%mZG1kwTpl~g
zj}glU@ej{Qz|!u8nBWm@{2Y?nb@GQGhQD9g9dcj|p7wogh}6-Bkd|&FuOJCd>@C~X
zBBW8EP|><=NedTeIvtV-VHhOE#b?}=Me}6r678!N07O8$zl^IF(&WyHK-JqX|J(_A
zxNa5+sr#aZ)S9QCwSS7jiR8P1TBU$fXD3d1tY~4BadKupR2*5S!(UjDR`*9>c-4RA
z+Atp)DZU{hf#18tk5i8-<HHpV>42Ns7`Hqm`>RC~IpP;Px__yl!+P#zxVjE}zK3uh
zekcW{*)2>)r_}H`@R<9pFFNqwpzx5bL<Vx-xl`07G~l>Z_C0r_E{azq!$<1naNcG<
z*5#Qd6yDibvHa4*ipOHb6J`ap569na@YlvO+sr+Eg%lL#teY9qRD^@<!lrp9U6`&7
z-y3s+3NNS2gCl-Qc;|lk@cL9eh_10d<-6K*V+`+y_hcwTE1UO|Wa6p=D1$s@$@(ZA
zasO|oO9e8ssp>@(Dsra6y`O(DSnXG-_1o5{AuRtemkXT=%^@7O)ic62ryJA_uIk{|
ztW9RoqM;+M%x=f3Cri?%9KM{?fW%Yhyz3z}T*@CPVR1Hv*u6Bjh%`-1ev9RaI7&n5
z8Mn~Stmepb`f~dD1ubNj3pdi7Xt?Hj`-4@r1+?lps#F5B;TX?q5;{Z$z5cf5*%MZ1
z<lN^J$f<*Kaia%sTCO_m=8y1NG2oZ}wKGhSI><e8;&Ox+1v_S^?JD{Jmha}Wp9^*H
zEU#LjJVF<-ks?0dE?c83bH1!PO9xLPdp^?ow9xU$g1%SV2C?51um9Sjg98Nt<Ih&q
zvGr*6$A@_~=nrPwWn7~TdsQ;auGRPTq0pj7R&2n%<^kW2IW4UBEik&-p@>5h+}iR6
zYaw-d>~Zt7Ce~>!8U$XELsOM_w1eGRunLZ7##d>;sHe-oy-E_L)T5VY&DLTMUqUBS
zfI5nH-;dwzE{gnJi>!UZYf-nC<=pg$D$K}PIf;`3Sg~Ipb+Xk4H~X(YllE1?Q%%i=
zYXKYxY16uYA=U;3IaNYkuazM5ihk~p<_h8Q+<E_91sm+z@U*Z<OA*=ADJ9YWrim*>
zxuRoFtnumHwW5V|dFcOCF1tbu5NG+DXus^N5jOZ&xLHmXKT9(2I>e+A4dYl-^a-F3
zdhdBmk;0-w<#C<Rb~;NVi;3rU;7^Rb)R!O$EOh2I)czWz8~0nxZt5fu!bwr`X%fTZ
z2Oa;-u#eHNd~gW3IA?`=k!Kv*fg(7;!!HsvI!S-(U=+$mwnECu^rnY;B*fm!O;qLh
zN$0uxBs|l~5?2GOlY3kRuy`VW@1ww<^vZ(uevSJq@aTMxO-=z1Jd>BvZS#}P@ANzG
z^=)(bOH@4j>&pq}sm39;@G1IS&+PDlUNa<y?z_km#D?^+eXgzTlk`5b*t?l>W*9a%
zcq>@Pj8~D5WlB58>DKYP13C7ZqF%OjPH<#}pzb-}dhO0A-L5TCJ)pt_Bvao@W(|J`
z?S3myAE)nhcXczp?K~zpV0Wg8Rezqy_x4@)b><uWM6C3t$2*Nz-F&V|ntztiXgMyu
zGy5w&r;n;nt}#N-QtXdso2QAraasbw0R!~XKi4kVsTg6oac5X`|0HquHJ?s=Y!7|t
zRqY0zWJAOmcP(709VNU~i|$6pbkMI(a1)w~24K2Zd+@H+F!4}d>EF{gpXkzy5pN@d
z4A2uEWN2+VNQ{hJNi1}4rvGT0;;-w~#|rC@(cIhtVtC!Dzj|ID=zL|OduQEOdy~vS
zh3j|^;r?4UrzH6eJyYjyd1o^Xkz9@^x0-emfqYcMI-6>G_7r!Mr!x(jOsp%*vhBp7
zE7#tccRr;zTRZVPulA!Oy$wwl&a@J49ve1(T`HmPDy(lW@TNkbWO?1kUCo5_LE`|Q
zL$~NNo<T15-zZRMJ2xA<;UmFtI~lC4?Lj}@zEfKCFa<Z>#-8tv_&}`Nm#DNQHG?Si
zR2TfsL;-Eb2e!TD^@Q2P;W5sAg+$|^oNlR_9$pq#ifYHz5dwa?xw@fcL`7hXoP(<_
zM6=ji)>ywKM7BEnH5{rWEILYDQsQ(#-JCG{YS$Y=r)_!>_H^Q9WnRADb8T31dYkcl
zt0mm-555;ltRXlYs{GE+YoU1E)o)+QYl-#Ge11O&sU?=G6q$dUXyMsJ3z^(nOSqdB
zhHCrP5ht2cH%Fb)MCR7H1}URA#B<WE3s(c)6Uke(ji&20a6{B_wx{b2AsaQN`Ta~I
zaV#nLH6f*egxMaute0;Iwpmipm5C<8No7fW-63`SPzpcQ(_crB&NghXEp8#I9u1fF
zzf(ioM|TfHt9s&nU0a*OrB6f!gQtF0O%0>Vd?fd-_r#VyR?^L@?L@(T3GTqNs?a~g
zD?eJ^K$Lv+^F8&pgLtjGR$ppb1smNoE~dABBxXX#IfOO3iCJyhrg@*$-ZrFj>V#A?
zv2^5c^l)`AahbXA-q(6%j4*XZIES_nX}vq0&TbkY$TRD?-dHL_^}z8peABJO?5B`d
z>fK)ms~_rR=N>EJsKd86GZ}5fIA01kTgo8O^Ty(?oSqVlc*})bj(jG>{!y|kLx)!H
zUpzbbKoNI7O-XaabP^Rw3H!Ije<yw`rY(l(DZ+O5pV7G2-Ncrh-yTVgqeM`+P&-Gt
z0)%p&_l?>15xJ)Rb_d)hh{~D+*A1-{&?U<C^mW1jVa8P4I4m<oG;D9_{8=xL1zIBM
zh2U4>gI?mR^^(&>aAuvLp^rR-!_}DFYE~Vr{<C~n!wivP!JEa=CkMl@r%g+DhKP#R
z5Y^?9S;9!S-R(7>94w>RSc)pX6Svpgt0vz3Ud8yWj4B)1RnNRv8)6wFlK;$~o)TLm
z*3!=3myVIa&lOF-*5nC-ySz5~aPD7Xps<rou2vfTZUX^Z{HBPDX8m=&$5#l(_MMTE
z!qTYy%cj3#IZcc*8+4v&VnT?cto4aNDNJ2SXuLN+LtHO*2>fz^1^*cZTldwjfxM#E
z#@>Nh;>?k)d*7X4gW;~OTYq%cAaUz!*|wG6MD#0qL&_ZvWP6S1zRs3}mqNk=Z_h=d
z$I)Y-7%Mk2;&~=Q<RmeC(l)34=U?K9<s;^rTwZkgbO;_Ql0aJOhwIx~R*3GvoWffv
z0vHPVV(`FL0tfO{n){fUQPQxhUGuvTs+DUgM}CnZ{N5s=_6-XzDY?XmJrYLjd)>`h
zkIB$U>#0h6!G@^B|BRT5MIm}Swzxc*4Ds2oiw8zH;Q2Z#BfDRG_5X0h3!Wx}k85PP
zZ!<UaIXsjHH%ekp*$~gtbu!$Jsov^e;Kf}%R@>HjDV$Z6zA@iHhEiiC-^Wn_RHmiJ
zM~ukgK%$hxH#-U3F`O4K6(xZ@b9UZ=q<|Yi(!mZtB~V@XYM$s9M&O147Lztb>}7F3
zo7F1`vwo+?VjZF|Ki|fYSFH@4Q-XVvWTcS)>SOCQ7BVcq#H$|ptO^S!k9%4SX*`sj
z-8s2K66@Ty3wVfYprQJzg=>c_qB?a0D;A_6ceVM5f3z0D45Ss`Rmns5ML5%|I#~?A
ztgiE6*TvnjLT#ZPiZGhhmvtVM$F;n$ARc!LX1iwwXgig$&F!9e@>xYx+LG*Flu)s5
zX4eMR7F8TH{CXR<$}pg5n0E2#W7mY;xXg16+<)qSZbd>B8Qh1>9{LzS{@3NW98DcO
zT6PHcT2{k>Hml(1R6{hzz5h|3N<n!(uUFK#21W}_6L#D+g7BFNU(a3|s+s&YHgsq~
zCw(@#FVYx1>-Dp<_ZecVy?WQ+6CI>f-T&UcXpE@R>LFh<6IdIL-cO9u!*~Ug)()}N
z9@zgtE5X<tN||E*s&N$P3(rrxJT=DYXAUPT9IX)jO!Qg3#;QB-g$iwIH-dbG)a&*V
zV24=c(%Bp;3O9D_sthqi<xCN4wu%i5-%`(ajZhKqZT^BUMjv^{eE0fBtOa}K*Nba^
zQE|1-pk%u$75tMP@3K<X!Co^o+h*0T3*rB*2rX#ii8I@Y!r=Az%`*0}X%iJDbnCrl
z4r*9d58hz<XFW_Vw?`hkMFFqtoM`k#1xVfb@O2Ym3xB(SsQKf1nE&QKep6Zk;Y|G@
z-Bz|ZfAcnJCO`)oum7c~uJA&tB_`z*i!GF*oG2??T2L<aI-R(AmN=Mdop|l)dR+hb
zQfl$EI*izb^E5^V={nwwOmD9B2tV})FGo~R`e$DG)>dZ5#K3Zp@ve2C?Fr-W-k=1Y
zWGlxyDPBfO8RJOH<Fz<n@bOxGg*?tG%y<f{B{2jl&*a9ltU9w{$=EYe8Uc4>%H!un
z7%c<kU%gyyFy{A$>0S*P7M?yQ=pAAVlP2SnYm2OL^0VQnjgJU+t>INAgvpHHHo92~
zpEW8q^$hM^6o8b;^Ky;%WX8%1YPeGrAlS3Ew_A)8S3Hf2^;9Gn*{`GDxb+f<dd~c3
z%#I0sd(H)Kvyfoi5k4n=vCj%|`k#|N6SKsH_lK;))Fc>6J8oQ_p0Px2{PmjaE?<eJ
zS&5m%1v2Aq?K-<o2}^7@-CR23TtJ_yPJUHZMP?kc-s_m^WC6Dt2Q#_gL3&@Q^T`jf
zWCr)zj??j%&5?fMX-8S<G<~>=i-*OL%*Z;<mt-<%hJO(pJQ^Jfbn}qGsbCc{BPRF~
zM+jktw#@Yz7uNry*QAAU92F!p4u8&770fdQ^;}}?-!m)>cX9J>F99+`URi5#gSaX7
z=*pZptI5tt7Wo!xrA%fxoO)hz@S+KFCmz|wU*=>8R-C5ZaUnCN0z0QygiK(w`Tk4w
z_uLFcs>g*x8DvIDoEYgwhB2mWE_ZkJ@-n3PS^IRC$c(v5UoP=!8$<MNw5M(>KSQ=a
zM2Z|G!La@J!$QB-2y~XYn6XEKj64n<BW(dm2IcMWAm1J%^gXDk<Eas1j5aH&*uRuy
zOgemf{6N46)@#m*$K;V1lg<ryl+UbT7;J3UBj|=u74VI@mn6(c=O6a+50PTbyxV<g
zCDIVTG^;*w9uQ$PS{gAO3zTLY9Oz3kH#LL~*NE(AcTvXP6^?=S<1&nsUsV%5Sq;JV
zSt5#Str$bz)O6`#zAS_MXWZ#^y8#s4P_n^Tobg|KIfXnX$5>}(ki`1f0JA+Nnd}B+
z##s9D)3I!MM)v&y&)iG{T-|Fmx6@35VZE&L<cWs@gY$CiN81YqP-$b!vD+xga2@NP
zj1yC2NI7Y~yLjFJTgu7;HU_R?Y|*6s(CSfS*zMW)MK9d|>BDzBUR;o3{0{&C|Njh^
zcRUsD7ss>rx@P9(PJ7&IuR|m<LRMvkWJD!tDkDXxU*VhV-B21<(~(M6N;?!v3K@lL
zzx(fbo!5Ci&+9qQ=l%KolhfkgaFv8Z@jaoRZ!#e>V~=P~vpl8;oUI@nC8NSQJx;5)
zOkmdZ<;JclV2gUd_cRv@Rs~x32=eNK^T~r}vh9>`ys<ISgiOVDbba>DK_4dZ=0JcW
z5uftreX^UQ;>;y+9hm}sxYy|^Q#DUSxo}(8Jx^#DWcewQzNQbd)^VRws+95AYFXW4
zG94pRt2@d24B%F$)AkB472GqP%GGbIiXYG1)B5qp08+I+h6eJG@Yx!#_su?4)NT4O
zHko7yA=7_d-_(*Yv+d-D?%it0(d8=>Kr(_Cy|+Jf`;u|dx#UsWCpC;r8aOoAZ3GZ5
zaARVPjLL4w<u+>Sxc%wOhvL)5An>(vOZFuS-lw;+-|<w(z3H1v>^7M|!-`WjH-(Dc
zTZ|iIwyUFz-thGmVN+;rW6T^Zr6RA&o}3Fzb-b10*%$NC6r8^H+fjsR$oc76p7Wp@
zUNPdiGhb{5Z#i#r#f8u?$5o=JEkF%NIETLH1e-(BwY8&Cl{EZt#V+^XT~#dF6UAk&
zWC803wPeL!(on5EOv<aDj!`ZWO=F!Fkn9;9{kNBfuc(5w(E%D3AC94ngjvGGLG}X!
ztp4T{$1jAZRIKuk&;Rkq63mkHhD%uUBY)iN-kL!{f!Lc{i}V26&!)583Zmh{UW@p3
zHe{SRzGQgPA7Du&_r5j{4gdGB^YW`n6-<5o^xLTu0KpH~14b@T@!-1T+QduB7*_Mw
zH1z_&o_A9B)cB}a61`>{YfD64TisL7F99?!MY~`m1rNB(7FR7Q;MKN26|Y(Sl`~l;
zPmqk?rQiN{^Q;{Dt-CUDDgmIPM1TGmFBzk)8$-?P*5jnq-q61x0HMY7R%bgBmR`A#
zXT+37+tlR3%~k-*p4_FWCsnYUBjl2$mn6m+hhOWK0O+*&8|~AejAtgy$=!FvvDN*#
zc|waN<UYKxyJmujy$Y_PXYB}R7WKui(#;YGhmR8&szm&@skZ%`gcxQ`{W|LO$pW5n
z?n~L%qlno7!`LP*incE90VjMcpz!EZ$0LCXSa0BRH!EKlGbRQ$@VzsKm1;gpJG(qC
zC;t1W7AAy_(oUU6oy?*CQ(igSJy~oxzHQTs3_-lt=Ws;xsTridbLA$dtjF$w*8>gg
zf*3Vkz0=af4E#nPMO8+~;LF*9iTx;mpW9!Vm)$aj2PC$Q3E|Rc(Bf4)&?JB|w+sYS
z=%$dFCU(F&NeWK~L^&ib3SgyH^MjowCSY*7BtxlQ66-BaEoOuZqIE}f@|3&@RB!uW
z&ch*z8&xdqSNMg{^nGk8<QYRSVLJMDm;^={S6n^+K?r9<W8xa*jiK}P(ytr8#L+qa
zTU<w{Fj{_jzffIb1V<YawDu*6WB%f!@X-+wOtE)L+N)*+|H2n?{2Ag{@13U*aZwb{
z*Xf8jHW-42(97!gO9WJr=N;#>5yQW|S*t0V48gZr|1GnZfPdG_GJUuRs5@nPX!jQb
zpuL|7`ud81QK##?6h9C!#Af$l<HH8<UAcLaT^|8u|8dp3+!MzU@#(7@*BgM$h?e{K
zG689)79I*$OW<bt$LvFo^<i*hm!rR)IC3g6Q}SyhafnWH3l7%@+heoi*2l#0=Z_f2
zEl;KJ-0fEtTJrkvPcRZUe-_8TmiJ^cMy2t1M^eFcmL9&pS}$tpD1lS6oW1ob>+x}(
zLgkh$CYam#yq<b3fyy3VQ>c4nvF-dXsiN&nz?%UVAVLx!yt<*U&@PA3{{>Ph>P%Rl
zPuM3ZBZa=B1yAaX6;N!GMMXRZYyQXE3*H~4P|>~q`P&DI==G~7)MJ<dY{dAVQ`e=@
ztuez>fKEi>SdV$&YX*#nNYyo5kii-<M}Pk!5%c|eT|!?lK>NyEPfYrHlnc4M^5UH`
z-eK0<GU{M}p$~s{*Cko}Y%5we(V&7I1}Q&kJ~N<7blbHJ4RTmJ7VuWFn1mbE`RF(P
zF+ig5gpuNiJT`sboZOyHM&Z9g>|!J)5R~L=0%(e8X7es%?kEK<w=Bri`7(i9aqisx
zgGy*<>C~tlLB-+XyN`BWVS=J|RNI3vA{MMIji2<Q;o7C&3auRa5Ru+7*r1?{dyi=<
z?lGt1^Rp^*!F%;V&V*{d%sTge;ep!|GOCze5!;_Mp$}WuM^ulUSHW+@ElKgis%Wfr
z;H*Nt0a!760`nb7$b0qSRdS&kW?dM6-==5?hnW{%yyGULWh4q`o2z46qFeE`ZbP_b
zQaLX6h>ZOOJOMtB)lt?n%-iRj5#UZzL=sD{stcCpc;z(E!PeaI<91_cO8DAFBvA3q
zKk{IPvjzrv-!)3pGlA<b1mD$NqvBoOFD?hRYG9-C)hBwQrr>(XQGZE~hFn_CXDn4U
z&~ti0oqgIAlFN5~x?4rVTU61FkJ{C-GRl46#w#<hr|C;|bJ0<&UF)5*kvcLV+A!yu
zIdt*!=Vdt1(R$eEfMSdq2Cv*ynLlg+C!gk4RL0OziA~4WC|(tFbNNeYCYCT%ogWf@
zf{y&$LlGza=qMw9jPmk_C2ZQ6zx_)j9R*f2x|3vSc+X@tRNMk!CC#Mml_?z`NZ3B6
z+^1ku)i$NvqW~L@Z{i#rr(w-{?|j{jWIPe7DKl{mVEEod*3kqOr`nUNds|iT$6&;{
z(;WaZY;`W}OH_3CCOBDaQpN_;&C1*Q0e%j94dnV!G3K!8U~`cY&V>`tycz)LZa;5h
zc!PrO>8;#XI_1%ASM;;{?*VS;>-lXOBV$Trz`-7pELIgrsTv``Tk-LKrSfD<b>{Au
zs*y%#UCxEVLV$r&6225$5*pu4Y7UE)#A8ab9>FmH5~m8pFYZ=BhpW17Ye&S<+vU)H
zZUBh14^4_oQ^prNq-riUi(y@M&wq<t0LJ3>$s#w2C^NtHeCH-noab|sw9K%CPTK^j
z1Jz1Min{;NNkJI1Q>Ev2b6WzhdN}PXzanZ@-<fDv62#140iG+YcPV2V{}q2!9#@OK
zk4&ED$1m%mB!+*Q!?k2(jdC_Ql&4-(z8cDhSB2C<9($O>m6*$o{YC51KHSGM?J_Su
z{m+Gx(QF1jlE3%!dCTBJK@9?t7mH;sPef{(fnjz;<8F0nRN1{R>GvcLYUOu1+FUk;
z&wu~=)XPd?>y{n3lZ_WIJUbEE#cK-raUXllsFKJ$&~(Yci5Iu+ScbyGCLsG~^XizB
z1Zt~%6f^7M#fbeSOr77xz%IGDKk|R#_`7U@<H=Dz4DfVL{}E&in>bSqnNtKjQFP~#
z*H(VKc)yh_@x=%xJI@te2qWMqS9^q?y8!xzi)gLeVFc4&1qn}<#jsF}|AEj!L8KQ?
z6G!_ELBWU4HFHG_wZc|%0`Ci9%exo6Lcxa6v?ll6bB`Fx-s}$LRuaL*`wy*3Ck)`f
zfaAU@_G0+8{c~Wct0<C|)Z4!uH-I0-(@}Y*ta?Lc&OwqGI?CU(7A6=#g3d_7dKOoB
zlFX!3SRA3|M%C`Tt`FmhN)3EF#c+S8aOA%^0;;#D=+IeywJh`Z+*Fnr=K7Aji(U}N
z!Z-gsZcH#?q(0<FWFL!9w2oS3AxXS3Ues-$%Y+kW;y*Kt2skSTFYEQB@ZsCx7JmmO
zM75DWi(et2j+U6h5R1>w3r)7Z>`WkYyl<FN7e_Y^m+xEaWpL)#t%r}A8E|Cywsmuh
zI0jCAzi~%W7B#AMECo^-K(_ZzIU6m3gIq!%l2YYxbdIOzt2YB~YUJ?-XiK6=4&9zg
zP{6|J(nCLV8E{!LXxyDc3awurUVTubh{5~R7kecb(8O8z`S6$&hWCjc7tkf5l4PR(
zId%pN3HxV!8j;4J{hkJ{63SToXs~BsNe@zw?)eZhFN4KJy3u4d6|^s~l6=C(0NKBH
zIH%=h@mhIf-Ss&Ytn2)FLQj$bK`B#lN*;39qWPRz^OuB<Cd&Uz4H*zjpFiwf%=*v5
zd*si|k+F2l`QP|%2DD7R*i^TofO5^_ts*NFbgs@hxaB&FUsIEL6A?-np5k71j+2I6
zm1ntw))-*>U?REv01@^5@+|N2(XrsB;%ClXOsM~mb`p)1vB2;5@pxWUblDbi@aI=1
zWGl(t>g7<uUa4ya4$G>zN6lX>evdxf78(}Td98wuIi>3DU)7K^BW1N$*Z}%Iyo|bB
zL_)5Mv#v@v)Nx?b0B=Q$0o<(_@6CxMV}kPCumxWY%(0#{nMgB)XXTdyt@J4v?$mD6
zKBj?FU80+*K}HbUbv0$j90i-T^S=pf(L_<U4>@cO#t>gWao?|+is*gg;-zFw<Q!im
zN12&G08Oayv^x#Id7sG;W7QR7HgCUZU<%W3YhzbNSbqMQ(k>?lP283IrfGm-2Ao}m
zo_|8<*wEpB;^|urESC!)Xla`R{Y~77?lwBMow3%KRM9|L0kZjT6$`jgx#AQos*1sX
zA6T6+P{+=ScbbuWmheSd$4t^t71gf$uU3hxp|G3xALV{a;5>M?n%hhjXCKUexrub#
zc}8~KNk@Q_<PGYUimDiNp7deGmWCMuvB&)L0qP7EogT4r$Oi+Cw396T-g~8t^IRWG
zS531M;*ZktQ9naQlAVlfzXNKy1+Bm<)x05gfrdQZ=rQE1g5Tx#UGZ15f>y!!#{Ju9
z*nMI8bWI@<nL23PZD<7{#rCDkB~)~H?(SDKr-1pAzkQ_it>9VftQ+Yq1<iT|Q+Irp
z#WOYfGod6a=ovg`>o`ls3$Ess{BzRy!XT93z-a}0?+bXZ@sY8bWboveyCg113RT5^
z0`NKXA+$k?wXb24LNoIOMAMHu8p{E`Z9LX^Pe}!D8s86({3VJH%p<>k4h0w=`|@X&
zu8c#f3mFs#VPs)>HJ!}jkyh58Nqr*LZ4gy0W9eQdxnAs6qa`@EX)gI)RKyJW65q2C
zUYzt3n%7jegaLVcbfQZh51VwG-CpL#8*i1=Mv^VyV7gnam!cewSac*XPjlg`E`8^h
z!{+e(f6~@Msq1lmz;buSQBIVLa}qsfYYsyb4G%^|WbkS1QC`899Oy}@kuk0?gX3wp
z^x|rz&||zH=u8X;J{)?rkB{37_#Ehk|BI8v#n;ZH+CUDBTc#*C?ly&Oz0(=#J`zZ}
z=Y8Ml90ywMd8jnhWdc_w;soutiDN^Mx2ow32kweVF<fV00<N<Unp_SOFlBIc<AqdC
z9C&{uBf7*GRxK{x9jOz;A=|DS7wx(5<9ohWheVB`tMpF1nur))?BhP4ug#6Sdao;a
zCK<tec;8jYWKp~q`}P&VhzCnDH+?i*G=%;AZ+GR2i(-E@*I%aqUYyRj7`7?a5MDnz
zb<F;-2r8eu{2;!P4~1Oz?Wvhz>Ad#jJHKUNTpc^!lfx%~LH|zEvkn=++KRnZ(oJC;
zcYDLsO%=p)8*;u9n*p>DuP^=05XL{-j3$m!gwbMqk3)Q>K6DCLcad_1k#PH$4e6^0
z=F!YL28sIc^k?U~=9j`4ulSf!)GLZt(+*lDHZozZB7Ch;Qv^qOe>fL@5JOcd;U`5N
zOwf%C9x|>I!AEDzV#B`^kc<D*yQFyrJPjc#_~?nUxU(?4z%GHupVSQ|mM}n*oS!#R
zAc}m%77Y)kB(~hBd$h8JrRQ+9!c0L7Gk$6fWE_^lg`x!aARY!h2~w^Iy(NaVkvB7I
z-$>)QR=tbfGd<wH?zwc%i+~<S)P1`)tj9%)e*a>c9temnk4+K8Q93yE%ae9lEdO)C
zH^4`aHK*>}+aXrop;nc6hRLG|?Et@=t{(8ZcUNV!O5kF>)E{A@BL3MGyK{k{2l-vG
zq`l3OI6o$5r97#GJ*Ib!2G?{!D`Zab#VaY~T&4zSj1jR!W>ovtye<Tz8L@j-8o!Y;
zf{%?VqXNalr*~Bs;&UwBigecFF3~g5T{9}^%%h&KDXs_mj^&;rC&*%Zo<D<=^<N(n
zYhpPK_27M6TO0p~9PY3ia5+Pv;MJWg>DMCkAn6uo`ZZSWwpUIN(Aq>rxpQkt(RcJ<
zXC}$*&!i$s^gn!~6h*@yO+q30f(!_GN@vhE5mC_loKo9GI+}TVhy@>I08P^6oE=da
zd93S~p4O_O?m>!9H;X&WpI%WTtID|bPPE;d4mHd)_w+5h%!KLiZS@*MDmbCf8~m|H
z9n%SpXzQpCXG6o2J6cI-$$P$f?1={Q-Yb2dD`5cJrmALEtI61?blviBmL}TTOUr!u
zV*r_MYU3%H6l{DSV|dh33+uP$ky3|QIc0Z#NA+&jeS$~Cx*lkuWr)0u`lu27UhVv~
z#gK*zzaORNvT5VyXXA1{E5@)czGx@=91W+l0~5dUY2&fIPG8DpO~J@CPeP@bj^$Fb
zRb1U#xUap@>$;g4ylHXE6xCJ5-F6ZDd!4i}^NI0GBVTiP5k@o(DOW`q3+F*D7LQ66
zlD3?VwSY5^v*Xq0RMGWWqIlK;4g6;G<49J#C2YJlGE5|?VdvEieG4RYEDu53r$zv2
zf}`;hbTz!*`(1=^SrxMc7d;6qT`k&TL-68OL)k~Nc3TH&m_SMC&t3&kI<9$b>jPE1
zrg+bS$xX!)vb^MujaG2ZF6W4{y()hBDP6Edii~bI$GA<7SV8kOvzuyn=;&7PcUKxq
zryDnT>b%dj0<osP?Gr4%&}MA!C~Ff@JxA21sKN>^a5+T1Ak%QB@b%+wCGu!|--7LK
zp%s{H4OXf(q~gva{`SoZ>ycz*&(oN~;*P-jcwQq4-hUV@Ej}oTQQMMj?)qCn;F|$E
z19dWv>oc@AvwY*?P}-|rbt@>X1dntUM_i{)A8`s2Mfc>$oS5GLUdR91bFV4mfE-`L
zh`S&<^3y%4Dgiiy?wq9kBI4#mvC72%@nYoIe+T1y02uq$X*|2FgmJf@|J)MCg=QxI
zYOnGDh_0KAT3@DsIbCWt1q<x>Ca-ASsSrzOX1Yk$UzfwUk`K~{`Ps1Wa0EYJqXpFL
z*QLMeUXLz0_8U6&*P4V$wd;TJT0nGA)wkmW8BF3KbtW6GG}$z%%A=1td^x+f^=+&a
zn)K=#OfD}q-72vlwqG}cQ01~tfh7s7dMo<=XZTW6jL_CwGi#<Wl~cJ~SSpT`p*OWt
zyO)|ieT)g5@HB;Q>`gxVBMI23(r_YfaH;9wN9r@?Z4>zRS-<*^ml)<>wA;JTyxio=
z;PNAin82xqUKd8NC{}%1yf?kL(nS7bd}?B^F?1RliHi|Ma4$8?uJ*)Q)6vuXfo<=N
z;B|=FQL|bhoFA?okt<t=q7vh@mtX|xL>n!sL_v(OtN0O7#)dZG%KyY_451uv+{F|D
z^xN(DgYPjra(DD5S1238xX(S;Jx%=B*Z6seHqC)4fw@!vT{3{Hz57h|s`BH@<*kby
zrd;@3M|*r;+yImprG&OT;lr@~4KHd7xN*09Zq(<C`Y_lS<oEhCAC3r_o&jlIw6iUc
zag))9p{}3ft8sj|vn7??>nb0Xdm2R?DPcmhf2pMQ|M*aSO+&-eLjVu$n*JH1&4h=-
z=6pOoeE9129R)T8A>`OmslV$91GYD$YaTP^M~C`Ewteg(IK)`pkg$yb49o3oZ=dsH
zP`&d54i-NdHkSFT|MVbtU0_S;VFB!U?LMk=Net!m&puPh(}S@D3EnnWL6mf|@Srvk
zQ2CI~M++N0*mP-~$6gm9%<Pl(+rB7{QBLXRcmC>v_MMF_+%dxV{n#Ea*UggH<Cjr1
zepMHecU{Uhek6h;T+=3J?@FP$(J$`3p}JuIZh3Ruf1;?T9{(_jDTB{8E0Er3=)yaW
z0M5c-F*J5vB$crCk)L<?cFUp;Y?IdZso6-tI%m;M)D$@!zPw|Gw?_x8j&C3Gv=GNl
z_jLa%`6!^K${)#;yE>pZQa^3$D1qC{YbKrSl`!&l-*&TN9l)<VL2COX@wLvr!%5eP
zs95GV<d~}it?~)pWjCZy;h@J>fo5g&qjLVYP^1Iq1!5-{>@rBoI9c5OT?L!xI5;cn
zbig}me~eD_dYrZKBlJm<@j*K!@Kvu4jCh!j+?<icZKe)$U2YVlQFfS0OXvdm*h%Av
z3-YLE`_wQwmx`z3jt$TPbfHAR)$gXAB8Ge#4wYf~_h-Ko3mTerf#;U!<^TAIXgxd{
zbC2b_w{Kx~?laMYHPTYZp#>ruQg__RNKwOECLwhL9eVKMim<Q9A7y;_Ek-J@OC1lD
z-8tzJ$ABv}UrP>5tKgvMzT*2_n%MI3cz?M$6IQyH#r0-M=pG*CQ$W?i^#0=?4V3hu
zl6ihuf02y-OlPi9sy3PyK0B5xX8>wL9Bu8(6jXZc^5V#{HoiI#7#*Q&2xU&zr!UP@
zF(}O2KfqZB-8a6-r1%-Z`?@=eH9u*nq|<G5C0++Rcd?zEDKLgu?S74lRyrCA6T=<S
zbkI-q%<1wm6G%_9OT2eZ6`d&8vt0J*pl1GH+!Zi`EwiP5Ql@Gsf6n34I*Jay_YN}O
zkZlep6~hvwo~j{(lbtUwKpV?<@KHYwSU{4uOmi+p9jPb0di97}D5d+>L`Mj~D&(^6
zj_v9=;&(-`EmH$E9lginS$V{dC%naOr#jBjm*P&;tKn9HimH>W71TT5F0VIIN1G7m
zcM=tJOe^CrgCr|(tmw@u_@agiGR|WQ;Z*#mnaeTp)(WZ~O053pp@xs?w^(tPj2moR
zf2;{vL&>3p!Z*dL$kWI9IP0l0b{%iuY^7xl#f>@KU!Kx2_Gd{@?VKX&7k=A(*1#IN
zJDDciT4{)JVhQ^%%i@l(qAQo_)}V5gBcbXh6^BTD;p*v9xWB_E@Ex}`v=~{$BqdPr
z#(@u~75WJ{Gk2|rk9D3SZ%h8WwULaGG<W4GZ4sn)1Z>o~Xay_z9|o>)l8{WMskA5Z
zA#cF>Dt$XEXq!D$5y0AeW7@sApSL;Dw=_=c%^v`E*{lh<L?Tw#RbXW8I&AQ*7CmqY
z;Hcep$Ll$YnBsBndBVTNCjPZiIl2kJfbyXD9xHh~A3qWvI5yiP6_Z(Mb=MN!#qPPQ
z%P)%}@9&z0%KvGq5g*+cIb{KRcklnC#`1f?Z^$opv`jSRJ>k6bRnr0tTR*I6a!H}|
zT{BdtjWtyrx;Cn^#~gBFW|s#|CGf}>ZI$h^znX0MwrV-mm_gnqDs3{CfR-(6Kh(DU
zY|4{;b4p>>6arp$b!sVz;YO|yX5aOnO;UvL+ai{xK=ZK6uE`d`7sJ+OlYPIMK1^4=
z-jiVh;R}ooCqp4*%j#R5d@|OwA^T{(-+(djmS*hbBnqI9op0Ep$wbp;{|d2bLt|L}
z_<EhTBOgwj&#+I+nrcd37cfi8GJ>*eyZT2Pc(Cn(%A5P9f0`zfXQhA77((>qNGbSp
z<9tG5_ILi7rbViWyZJUl7&Vt5*;;Vn-Oml@&6a1I8dE$wIG!57{4PadhASuTjGwGw
z7o2a3sc@Ci(KCSi7WcQsXK~>7aG@XiMvF~hsox&nE!PLkE!{W7$$=cCw3DtUmz&O@
z10_jL9|Cr#2}KsMV@RWAoA~f*({nb>?KwG2Sdyu%IuXc@`5#-msI2!5d*XWjmn0Kb
zWr<q-o7izd^d-rcn;jb^%yN(CGGPA2<H{0uc1%^BJv154f&cRo3-?xLKnMG{t=&m>
zG%@qGp8v*)x;^n_r*7zhVq#BNc^5mXTnH)n8pDl$?4(VkE%e~d*~*?@CLCC%dugY;
z0xxp#=K%GMF6_^a-cj7jfzvCB99G}>aBt=2zBiG&u&pB}qB4dP9qvb6fAvBDIW9zp
zI|%54>-JW4O-n9J6U<Nyd@Y1WYp41i-_(IziJ_W0HEw)4`s<U`I#K+ez+R92UOKRm
z6gVwp$b)XrKKxwL5M${Ik*k(V2Q*&%$#)9j#i}Qg**$v+DCBE$>v@beToWrh(^Jof
zo|yqtZC&E%=x_4<`%f)+G(MScrYV4w{a#&Dwvt$q_?@jMLJO+0d%y2)7sQ%ZmnlBI
zQn=OdZ|BPuP58?7G$7)<FgmK9zAAKH1{-4JqqY`ng5UA)87&}+7hC<yICjZmWMUPk
zyoV-K%iW$9+aiVs?kVW;`paXTVRtE2Q4<!AsYM0Ev3w+*<6hM<MYP@VBjVYL23*^?
znl#-Yj&635iaY^Cw2>(EFPYPTsZ3qhHG(Aa1;4DE%u+_@`xjN72xvk^w5Z^XR2Glz
z4+yaLtDx^U^XC^p6V&Jn|INtD;D~R%YJ(veHB)A_zFpFUGC}=A=epLT?vBLbkunPY
z9{>RV{}h*ZJeBVofUWGkg^Xhy9L{l^V`RLyy)%=HP&7!g(y)rYMk0|y_SQhdh<e|s
z%ofS05ZMXYSwFx3pU?CB^W67!UE?ODy1#@~U?#uq%wV=CraPIZRUjdc%{wt35qqlw
z8XNO0PvgWfo)e_r)iOLL@Xzd!T_F)P`722_w<NF%nSE!vG!?Pvr_3TxTu87l=@uu`
zpd^;JGR#-lrGzbZ8{EE0s|t$Emh#f;QrN1I6Y+$bG8QpX@^YqC6;3<LZe5kcVJ$ir
z%VAgrV|PDvFRh9UgpKPBLAEm3k6=kdTUiqJ!HdJ<QG*&B)B1DHH&zxiYrtI*YA0c#
zAG?kHCn#X@D~orvP7W*dK5~r9Q58!z==Oa_Q3oN2wyqhM$7;?xQhHvgVpk-Nn+OzY
zfbL5x$3sjCSO|rF^(QSEE1l>K|Eiz`r90`8PX!b)s>>sK89_4k-}K+@(6<MHqAPNW
z#G-_Kkvg%PyrPPgy*>Qe^sEl7{0emWGN6Rb-aK6~kgbXZs55+M;M0Rxt-hqbC<4}X
zzkL<Yq>44O@K3i_Au#E`eMWqlfIS~SZjh--!qgC*$l*+Yi0Pz)CXzDtwBznC)-x*D
znKDJ$By)WjR?caRQdP!2ty^tOF%U2z)0bNoKlNdfj?2~R|M!&m@|qo0z}(Z<w=&%f
z;EUC`pVuV<Ci}`MI3!XI>%8i@bD`b<Y8D6EyjqknFS;Cquw)$OBvkY8&XNI47<0Da
z`xG(utW&;2g_2mrj)bQdry&&V{%bhbsDSA$#^nc=h+^XB&N;kiHH4beU(zft;<5UI
zPGRxmf|!d)AKUJ%0r>53i4+RTV_U8vGXL)KVBRkeo&5FO0E{L^kgPmetd>bRaIS_G
zqrP%YX+3KI!XrG5f?_h*2RsW}<3f*J4fPnD=QjXT<G2?4bZN}F<m&5k$A2h?hSnSB
zC;Grtt~_*?OA0Fv-4rI^7tqQhcK+AQ^dZ>U6J+rc*vo(YSTFMks-ymV_vj!1?Y9#G
zvDRW(^<&yWJ(Wf@@UcM{)fXTnRoZPmLj<#!;&L;CHe{qNT;atM0<%kejts0q7@j|D
z%e8O-$!j}4qa}bq$Vl3>b|pXd^<s>AkL^z+xcC0GX9xA*@UN5;iI;dWjhmJA^c!Qy
z(+}^C+WF`LQN4Zk@<ncJ*)y3%2S1MNzfX6z>5dMhjK0a)w&K8gr*HeFlE#s9QC>K+
zE^YWaKI`Phz>58`96i`_<QI}kd+;kWi#9B(hD6fwF=02}yuUToH;T9rtq;st9)!VQ
z8zuS>28?bqnfBty2x5y%e)%e03uwQOs7^@HVWrnY!j@HjAeXBOHZ8|AA-d(i%^5)&
zjNpAGJ(=2%u&q@1+i7URt!#DSD_L9UUA2@i!E`-HSNoZL$+tAXoARblFLDEoTKdGI
z7SM^XPCUc4{80y`qJUub536W|Ku_S=K@9QUUu|4#rw%dnX`~ZT%jgbwHlldH0-3)%
z{93hv3e^I-93k<4Q3f#vM(xI2)S#T^H-jt{WN*0hQbra~Jqt$4nW{!K@0!36{T&Jj
z&UyKDZv8<w*`#iKz1ND0<6C){SSZjr8H=jd{YGislXQh{eL^3vG)~M!tAW!)mj`D?
zXHeSVf*-6pz39WI3-T#jWQe#u^|vNy8udzvec;wNfG%a#W_`Uvh7Xs$B?jH6(9d65
z{IY$AP`<*|`=vXoz?c-i#h*Qis`E_BHbwnJhbyFdCt_70%rqilQhE}7Ymsbj^l1#O
zk~dzC=2V5td~1ok^AqT-MPkZL!UUSEUz6aOO@g7x<ihZO6X+41iyA3eQ|O&;<;fr=
z5`>nA-V@iKM8jErB8if-Xr-yQ!l4KvJn`SKpG7Cp`D=^(EN|z~_LlULZxt%waEjW~
z7BYqMCw|@+WV(RzDfu}Ce^-XF_gUw|j!mPV-SCUW&5P)YMzq8ZzcOfqrCdl1pFw}E
z`}T|<SwhuBy1C9c5P+B$tnU7C7Twyedrf6qLAx{lelNMJ1YHup)7YHn&~!cvroNF?
zw6)~P)dxQn!7lC)v%l~>>a2Eb(&@)KS|jbSFHBVtl%zXY5)u~Bw{0EH_x5d~S1Shs
z+2a&IrGm;>Sh9$Um9*s!AKOOdPA$`39L2*6mZ;pA(Z8q`<N3m&Kf7pi|F2sg4e>CV
zM4z2vu#C!bFs_cc(_(I2#z!d+<RP-}RBmG13hG@q#w;<h_kY8+czcEAfjx2DIX`R-
ztx3C4{UMD3n|b^=Vj)Qm4#2a5(+(TxLi0}DgfAl&dTTeLpGgj$xNkepd2FJto0{CU
z0nAuqCH4JEf-Ic+Nt~%J*hZV=R_dlpSuqdSCm~&Yve0|%P4*xs4JLW<?wwQt4s8D9
zD?Dwf3|wjUw0nJ)7E7d&D8jww!lqbVsy*~&z@%Ns=k6RGre9cL_UZ@^cA;JNztIUC
zyvaO8tx0FV_`UG%=azUe3FF73jdyXdIXm|Gu@58mi4C2dujR*@f-Af{591(jsIWcU
zn;D}NSk%>)2x4E0SOU|eaFD>@wPJsV6{CGzQDoC1j7dMZT@|_`4WN@~U%kbSC0uaU
zvgQ-Tu2}C_-T5O8`=&--*ynL!mA8y^l`_RK>V}pJ&5ATMosJ9P*XO~iDZ|!$1WBwg
z(e$OW01oJCU-%s8<;70fCd<ZDNMUJWg%Z;aIG9Y*?>0~7$8c{=?@bxwFpzsu*zg<&
zX*8k1Gy#H`Wpkl<Ev+o(U0&o?2r?kQQp6W>Nf;~e=+aL4E{EOQ`tYCgrVKcr`?nQR
zwI8FI8~?oa1&=jW2loWd$%5jI^kQvZajbAbz-VPs5fkcv7I#EK9!?|`_~QyCu+*yb
zhHP$StfN-1TQUm|HGGc)6p2!p@hvTpWK$w$;~;zA{FEZtJNKR<7D{9JmIB$@uSpo|
z<z-{7TLfs`N#!1qm%)nalO5j<sA7?IT~<lrL@*Duzwxw57IRPKq2B&Q#;&pWv$L_O
z0&XmZ`<|;j_U9*w@a3x-=I^yXq4O0P#!J*xUTovB^k1r?6Gaq^f%3)RUIhi-_ZG%`
zWGP}z=jbb5>QXW9W3N&NTh)QWv%5VeN5HNJ2tIgqhl<q(9f)J*)q=&jccs%A%2=n<
zMEXV!6?;6{YQYn(4Fe+XAsydUFfd*SZ?m9cT7MVxwN`XNtgRu+VTOoB-t=I}OQ&Fl
zx<6eGQ2-=*?hKAPlQ50}pCR;;8rJ+QZClqvAEZQP567gDuz&7r?}Bz!F_GzHFWCSC
z2zH=G`{$Fe#@ozO&SVlsVrS$ibT$OK$&*c+;Up~nZseqaB?0Rz=>HtYYXl*g)h&Z~
z61E&y!(%Zjk5%-1Q(nn10({kTPh%@0mi~}19qNw5aEH52&W;&Dn1ZE&-Ct$wfY9-=
zLqEi^yRNMD7Mn)k&YGcsvn62pt}FxSRRK)d)^|sH)Cfvzoue;=C}MxQo0lj(Y}ng}
zq5G-%MlcxlYoAg89xE;_Yp(vcg$}K5viIp4fu%-jDVwbvCi7U>?k6&U{@drO_p`+i
zvhVf;e~^{ICKwA0UO%5g`ck%Cj~_II-wxcU=e86^Bs?Gf2b+k;M@MFjasz1X;ccU9
zk-%IXdUHy>=)s>jq}0u80LT;03wqB*vCmUaZh1an0(oEEaJ@)<!0<a$Uw;T;)wYe1
zf{m<TC==ReGzSp;`dpKkF+UdVI#I3P#SZFZ*~wxrfYBg1o}qbe>@Oid|F{4rkY~az
zit7=m;TW1{#MrR<L<QT>cbsq$&${E>s0Sx53>G>lGGe3JJ9@#)T(GP@Xzkgl3l=}V
zZMpBK#X7%NvBzw4Lh0O9U-c;+C`oOmtKr>1r+fdT-+0Xlj^;n4`FM1|=1bN6pdSn9
zizzA1RbNhEyTHfCW2_CQY{Md=>BrEc^+G2j**HNY_gsc)%t449S+7eu+KPJOYAya%
zb3p$Qo7TY&Ey%b2T({lViqz4p(eR$+00+*CJ`AE-pej-y{V{O_$z{0PHA3b9&igd8
zLcy9~a^RTsD%T9sTs;yMCC&j6DU3-m-5OxN`O32W@FHSm(L=nX$N`CQT_-+jYQVB&
zXT~R3K}PUW76f+=&?8z^XP2nMZkEr<iGg*5_OM9s{(26;wG=<e6;=mb%^^xPX$$fA
z6P2W(%Lxhd>gk24R7k<cv6VaQA`5qv1p4PVA$<3JLJT(*80p7e^W$k@j?Dl5WG5F)
z@v1ti?D<37;t4Z@OggZ8KA9Kp#|<^Fa|n476nL4>zRE(+0LjMgrhUvjU`lk6`dOt0
z%NzD}mA?BRJ@jPj(N{bW()@6Q!$b}AJ6~U+?PUZ;Yp4Ipl6XO@Aa2fjlnl=z%Z}eM
zVTSC`w>}{ud~p8ygvLND85-K;2t_R{(8v9@^ZEsTuyS+ZT~{W9!D>XJye%8_2&@^^
zqzQnvO<x4VkSYulm)0le+2I^>UQK_OAS9pKZSlLK3T?yxuuG+!P-S<&drVpwMv4wQ
zRXeHz%eSU8McUlZ7s2tTHbVrAW@E?w#8km}l7Y32%ma^g6XoO-MB&kuN4a)$ByjWV
za8N(U3(VjCV;CP4gY1~`5K<cnCXN-49e3b^ClhIzfe#Nr{*aXY$|Dlc(1;tBMe)PM
zN-m4-Ly|Cf`q$>eJQ7TO3k}l71YlIFup{q?6mV2jdtc8bf&KgXR|G*JP%bu0e;yzW
z^kKhQKRh78z1T;wcGrZ#MrLw3C<6yhZl|YK_uhT?Q!z$s-+q|3S38#4Ap`GgSR8Mz
zkwB%A>FoYIQ6Sd;HYT&m0pZ^^uez2hbcyIk*V~9gq0*Ny)LtGwaU?t|N>PQNzK5EY
zf)bEuA*axhkB9B}FIw?isxaqjjIX*V2?u0ftj)|TK*vru!_})~5ED|Sbq<h%#!`f*
z^q>-$-nWw7l2C)Uk6*0)=PwN>dUv;uTqeNL!Ths=18UGE^e9>+5C=;XvrbZ(G8`BX
zwGMhj0ikb5n`4*^BpwTnHL6#Eu?34*<{T;{v?>UE3zvnjLc<#MMMMykWB$8bst(F-
zz0&0oa!}0Ipr1e_!JBaFCc}0O@K9emBNQqRp-~31g8?M?OIq!GL!$*(+8>#(x#K~&
zZiD;fO%iaNJaTr<>>wQb{3YT6Spk$IXe_W;5~Qu}`~E3g8-$zOq&?>pAYVcxKhll_
zKiq6U^REsdZDyrb@rvL;-7pvYMTDL|cLhfb^+5ZIelGovB4l%Y%+KmlfpD>VmEYqK
z5R0s-Yd2Q{wKuHWmpzq1kuk*PmJ2|xyH(}vsXb2=zD=4eQv!#R6O~Cn0cM{(Nn>$R
zg53U;sGY|O;MDTKNB*!r=)7{$IK-y};m(pByw~L+rRvnZi+jEHF|q7?V!k36=^SrO
z)s}^SLGhz`Yx<C1us@YVqX^CIDSq|8q`{2bB=!Sm0A6L!T8Qcj@Zc~(T<^9dsLyoW
zy`f<M^;G4Rr>1zgYg$5UQ7#50D%Wl3C<buh>=VuIgYqC)lh{xaAPh<kA6h*`4d9-|
z@HHhtIoLlP>ByeK4^I+bzqMG<-{ZiA@{|!7*!2Fu=)lhdCvN$8*F4vU7!MqOMLrIa
z7vBm0;$Vkw)PJGL=k(!xpo(&xn>3WF%O~CX%m{6=KQ6ow*N23&i}zgiOTiP*)qbmU
zbU>i2o$h!Gz{!=`JJ}=ws>c-^K38ocNTRmi)@cB)Y`sTvF5(dV^43-I<{B~`NR}h9
z0Q|9eb!LuN6kc>#Oa8dKglu**-S}jKK%(wLY1!YxpyS8v_|0trX-a=7P@JR(vixq-
z#?yijqiEcRH~fvP5(X>sJ9I(2BeVA^y8z_c9H-}tnnw0zou%hy(*-+GYUZ*NAGDP|
zzBD5@g;e9pJo^vnz%udkhn_Yb*n0hAeQ<LUnUJSW-_Fp6>62>qIbPf#+<b*-**b-2
z&W_RNjUEIU;`qB5;Dnejbu0reGYDfrngv<yAiT>uPR?Lt2TLJc-p!QXNNJXsrcb;U
ztT%E5uJf>hxNEwNujxF}y{I;=GpY$;N;N;f9b<+ldzu&x$|CZhj^F1AXu^bVb-2Ye
zBfJrhy2rEd7b$)yGgVil0b<k0E6YdwV9$Ut*H6pHz@3dk9X1V!ptY!{En|RId~TfA
zr&XjPGXP0Iw!g!U7^V&;u>)>sH$9l-tvcAvts~7dUE5KURN!8X;t)}$2iyO&8CGOB
zksBQBL@75aeDvM)TX;eTtSN@e!I!s@0~fg(nR_YF8+gJl+=~w8YZ3JWzju*BCf8#m
zdkW0EeXF%rr-RC0$941dXn|@Kp_S321~>TQ5PKpW^o-nHin>P!4sZO-bdRdRBhT0C
zUo7ZgOEx_`cOL`vy?i>RJVpk+>y)mDI662-(l^kH-v<*Jwnr`mlEJoOoXPeV9juhs
zPtHg)f%1&^JtYP*$mZu-lzY;H+s<E~pnhgpJQgSAo2?4eTh?3$x9DN`Ny*dU2dr>g
zId02ILlr!FDtFoI7@&Xm^!W?<?C@Q|kVdMX1br`@WiO}h1D>}3=&KqyVcnK&P8Uf6
zY~GMYA&C*hN!I3>5!^s?)OAT;fds`A^dfsX6Rcn3=J9*R13Y3InrEL8;h8#Xn#Tk)
zl<r<-x1itSU~JKuBxxdWPi@o{n6W~+m`|SmS$<%y9WniuqXPdOyla2^6B~RnspIxp
z6oAMZfr%0FDqyp^>!%dG=M#?;-oHy1g7|{wur5p)W*FwaWF6&#qC)?RXPrghC9<gM
z?xzeLL}J<fDsGTx=N;116NM}>`9x*~Wmxez8jZH|z=7{Y*s`fOs5>jmE^QJ(F@BqJ
zd5afL4*h4ec0mHF80s_bOb{S?+Qf^?oFBAP-#JK3NW%4&f{B({0@#?Y9DZ6Y0N*o1
zfAh*n1M{ViRZlsU!QYBz_6kJ^Qf%M1iG<?dOI~gDuDvpxWIM-i)hi4vCIMr9{W4Hp
zTBcFfqzw4v#w#z<_5)O;`6XM)LF}PnJ0@EdIEJqJ{|yj>y1*E3xsURY6FA4y$wP!2
zyx%jE&l~{x*Gq=)+!P=<-?8r$Jqh+-!`0U!l3<zU|EzvN5lSl)y|yw*@CTpr4&CFi
zZBU3=S1bWepc*IE52=Fa7Fut1MH=+--f_wCs6bx!b-^<-WU!`LyunhAgSw$B3AiL8
zQ0=b=d=piJN#+CZ76xVDRn4DxrBD)(JBvky)G4sU$7avYEeD`5%I3tS3d?IwOCN%$
zu=OV``m%vMT+lDh^t`DGv++fYR-e?t-_2Cv^jSO%xgOAJp4>Y>;36kxsR@ZrWiC>2
z3g8o~Zo)1^25P{~rcXb#z%riWiPjB85YfaJNAZ(Eg?)JbN3=FH@?DzwcwPzmOg`fq
z2UVfr-X)p`in<_NBd9e;BmlR(A6wu_Rk-Xqx%u;>9vJs-)@@+~sPxq2V5uWPgm6d>
z9U1m~Vq?utTp2Fh33rjoCBhlKr#{kqK7a4I?rb%p4BX2D9Sx_I;i0%)ERv=V?II1L
z?_`ugeQ?(&V^|T~F1PT?N*F-9qwx2LP69mkC4AHu!9(M=$Mru+1~66mGoC;tzz4p>
zCJmx22rDE=I1d^?RlI9)w2u-v^=C!YXiI~uOv3&lMnj-stCoY~iqLiF_S)Rz1K{p#
z$z8^02oevq$_DrNUg@55lba+0Y1Yphf!+`TIZYTwhUFpfyj#U{F@9JH*pSj2Fo20z
zVyS<S97G!XuQQ8qfztV!7wwq_Kmk4Lq9qw{WVh{`5MhExM}9Bpm>YoPO+{bASsd)w
z$U9qUL<8f*59RH%`ry{4SU)}{1sPvB@GNpGh^ft^qdM31p<`j_R)Lo!L@vAM@O+p=
zbSsn!`h@kNJYgh+_p3OF%=%W=`gS80?-wLYDga153MZ6VM8TH9gd<I~3gz3VvdGZ{
z@SZlYH8>#*r-%I_)%3rhL&H;zUvD8Gaw)gq_mlvXF283n${9vqY#oiyc&Z1zf`#6z
z_xXT5bWNwrZw&PoM0%G8b;0Sldt`nz4{T)4I7YgUqsN^)?|x&_1%-xfg|G5l&{V?U
zyS_D!uBFLS+7If0veoL3rw`cRH!*2?K4ToE*WFh#AFK`C)2_bW3C!^7W1ac3-!JsX
z>nd&Qrw0N1yi(xVv=8j8S5s|jM$tlR?of1H3$9&k5cEUnVPVF?P~r9n+SVM}$Zezr
zRi}Mjzp>MTZhY+ae_r2F?_mNf-5pKXG@NCBuDgS{9d>IEu<1h&Qm=W~&1wL-S(zX^
z{15q3>K$(?*o{s;$$J0NL<9c5G+!zHyM}xj_qjY>+Ky6?qOUAv>Toq-kjKt{1qr_r
zD%|S-3f12YzQ4t$4%Hfm*QSk@5W4He=c>LHp~vTYERKg#;p%!d<L`h)gn$u_uHuUk
zv&3d5_Av^OX$=MrcFrRMJxfzY$uE&JvcGdbI#S^N8FxOs&K%-VEtHh0--f6hv}cd&
zPy@Qp83n#Fvq<pu_Z4Z_Cq!lW+BTPw8axPd3px=tjZn`=@%EebA}g8YM=W2Hf%IKa
z<)6Y7a@^=>k>=|GWav;>hnN8wj@*9#J%K!lI0ia6Ws`@H=;H6ezVB4wz<QxZXZ!@h
zo!rhJ=<pMH+xGH~*xtS}JCU{fQg#Aa8m(w`NgqSraHqM850GGNS<m}6{RBe)FX(3V
z&vE3I-rpwYQzVd^$}vn6pFr-#7CiCLpF$2f))ie`B!c&;%|4#<6G*U8j&)|k3^Jd5
zs`1=@BK&%|U)N!M0y%h-($Ql(hYU5Ur-z!WKz6O0K=iXoB;@PX*(t^a#LWBJg`h}f
zSk7Jw&nTKg5^BN|d#)@Zt=#b*hZ+cA=2hu)?Cmt7d9=`dl648GO1t5{x}gO6T#~0e
z_s=4Siq548*DoVwZ@O6BKnVox-Y^Uo{YF-vdRgYgts=%zyNVZ*6k&8<;EC=Ne-MVG
z+e~W_>qyM|W9RjU6hP`wv1+i&0<!yT^2T=FKZJpYA>cJt0URZd#p#+aBB#$;r_cP|
zLM+V|-qEJvK|n#T)FJjSl5_Q(`N{BI<f*l8iqPsFPcHim9~fOirrLs(ETm|`Uf!4s
z=OGWA1f_3hd{&S*hs9oTm(qcRqfxKj2RZnjL1p*hSwo(|ZZ+PP0dlS$(EVvB2L{Zi
zm>y2ABc5&6<o|Gt@Y?KpgcK$V(|>A<E&u*Q$e9y?7i5@$?PT}iONO#QkA7%wBW@#1
z>PH((j<ABBx!)Dv4>CY=rR<`7*)9^Io|7um%nsUSUNae9G7z1-P2EtT1?NsLlHVCF
zIQEIgpmiGui>ZZ6l8@+sCnW69BLyB9O=xoYTZ99_?Ij*BI|dlNqr@xT!V4oZl_n;K
zaqzKnfx%6J5lU)bjU0*PhZ}X*=gE9HF#2IrLo3P*BYVZte_jxF7s)XfhNYp%v^O<*
z&rg!G1Q7KkVdyx1s!yp&8cMDQ(Z)Yy2R)bXQrv_4L3Zce;NSykh>Tyl^vseAhUM(E
zm)ynSx9|YdjT&j_&}|cs6X1b~Z&x9cLlUf|tnT!El7^IVCDpz%USO3j40cYGf*{&~
zHw>IOxFs07;^e^(5t7TQR&qGdYbjF@IEMr0JJlWGdV=uQ#<h9trwmN2B(Hy8#lgHG
zIXux+7*rR<&d9%%g9*>_W876T;50`v_YU6=rJkd20&4MKS)h8-ELRqOiipU#4vB%f
zD7VFKhaz~y^9iqa$$_I_?ZTwL1n8CZ_3*9|V2A&jv$+u-8bU5^D+)+~i)$InB@z+X
zDq0_Z<xm7GgR5JQ;-#S~d-yCvJqd<{yfmq51o*`g8*a}f1ECsHtI0j8P@HRhRR5(4
zjDGE2D=m?QzL7&?!lPt}`1AQ_>fZcXh#Y=dZ6Xh5?Eyyy`qdzg?WyL~Br;$YVZW+p
z@$mL&=Y6RM6u8{3Nv{`1f$vp9e>eAhfQEc8tlfeNk_%;nK^f}sbi|*yBu0R~j`7Lu
zaw_zTW;*unb%YxAS~BUjGPIe^U5u!sg8IM4!8luOIA&pRYx#!?xLgvxui;CD?FNlE
z(;sx9e9lvIcyCX*HN~#VG*BS1{Vi*p%wDfWiJxBgAc5JT^%S;3H5fB4&y8}>hoMb7
z?%|w0|EkP#Z&M&cGu@pV6Q>Now&8bQ|05EtsO_Aub0Y!0z=2$Tr#-&6o;Bgy>-L<=
zABFSTguS`F%9z4$1RvM#xAJL|fXZzfC9H&pj!$Yu@;OFuo3@nhK`;@Rh3KC<WaEIC
zNntOTGXl>5BQqUQ71(L<yu*kb03X6~;!`GLu)S;@gu6rl#(SI_F|7i?HWTf5dBF&5
zI67P?_xHT;*@Gf(d3Ip=<hvGHWdy~GXzG=8JUn=!F(Gkq8*$3IdD`3B2(++sG24N1
z@QjfH-5vc%bG)Pvp~n#Z2LJ&7{|uLRIMsg?$L+mG_IAyC-Fxko??Fh2A{EJs2FfUs
zN<_aRBdJ72$f%G|O7;C9SrN%Dq>Pfi_s_rQInVPs=kq-8_j$jL4hg?4HkF5iJqE_*
zaer`+s)-sVOH<I#Grjs|mn<~Qb}sNtuHzf)M~*I6n1I49Rd&UHQqWP7DA?LYk5aeB
zy6#AsfJ}l|SlKr*cp$xTKA6OUo-YiIuHG_+dV_X{+Ib;3vjk6n?PEv0U)U>HR{(6%
zhChElAOL4hB~2!JaiT_F&#YJ<fSbprug}f%z_S-+Qgh{8=pE<EvDqdJq_XaqF;%hy
zK5uW|cbXe<e%=DF&qk1xgEW2lnZOB#{8oy%QPRq3?lb+n!7U&~uxpV9#{ahTG39b2
zdp_^xkYz*Q|F4v@@5KuCW&ZaI_fy<ROtvT+Nf|;@u-`*vuNf@kNU~iEFE<Kqr<Xix
zZveZVNwwSm{fW5~u>bbG<U;OS{;v<-(Ffs6olyhsHP{Q&+UQ@0xe$LOo&M(@Jy0RC
zTMHg)!DH_p`RvWfh46RoJ!?vO(6sv3CY)s$|CW{$%HGe3zQnWGt3~L-sn3_Rk_#tr
z4&|fDTc0?QOoZc7`;ZO{j}+P5BG2I=E9?)tJ2}yT9=yuOLI)iFbo?w)Si+kkh-%wx
zTxk8@=kuxM+K>`XkloX~ieL1vqun^Q^KR$NLw+S~IQ{l^m@sJ*FRBR0cs0v~97Tyz
zj~{D+-8t5!lO!7SoPYm9Q64uU6m8y=lF<Sh_Wo;&FKCfXUvz%r9v;+hcHaGRo+en2
zy>awYq(`>=b&<j?JcyO~uUG|D6Qr#kyTsmSK!G|@nPGmsDDCi3pRO7W*sHxyIE|hO
zDf61oSu60Nie+WijiVay!DUG>Du@|*MKAAFUExD}=P6@$%j!@-=Hu)7%Yw3V_2NGM
z;zyY@q)*&w>M(hw-|Cwm8xs2PE3E5}0MeUxRgN-Khcg0<CE+w2==<esgGBaSD9Fn;
zlYN;A>1)5wW#(}rQjV@s`d%Sa+n??z^nwbNk=>}?lN<5x4Qt)b7Df*kTIWdtRJczb
zl_^Q*L1z<woFa&cB7;?thm-nLi0z8`W0S&*l11M0HkFE@`73SgTwGL8`KOd(mcxfm
zeGN&weo_LN$?xy;n4kdLhoc;Hh#%35_kDh5D22)ou{izcpg>qM>}sDDKu0@tDza0g
zQR=5uv-k!I=yf<;@7LIcl)R*>{jz0{m~CruUK0i4y%^4j#R;J&1U6k#l`JyLY#R*e
zr$FbE3@6(SVI+5?OK$e39J*Z{Rv55B0hwTR>Aw-8=;@75&X$4%R4Dm8Op;86nB9&o
zTN2_Z>%Z|hC3^)#c>N(#`~ns3*!`MUYLh@N*BZ3zQWTLck#CHzjS4r4kI4o+kV49>
z{H&LTm5`K~pKi9XIyhlfTtaW85mGv%SfHwc;%<NCvu##~V;rGlv&Ay#G`-=IjI*kU
zHDN--`>Y1sOS#{W_)Hf4d_}Vyn@dFd(x0UEs%pai%tY1F=W=L67gr3gBcbg_<*U0G
zw17W|Ss=7T9*NsYC4@Jqp_un4+IyC?V9qVL^y~`)D*5w!vpR>24*AQ?F3{<K=<cjr
zA<q=hc4U0TH3bUN8@=00RL}+Cc}?cwG({9gVz${nMnN+V)XkV&^q?T)p6unzO2|A&
ztToA>g3Ru;rj=#uLw?y)@*4|fM0R_CE4ffmHz%=DVAcTctFpz9Eh{4<ze9VzNKsIb
z+><-qup1aTdzmi$r-B^xO>SwNC8O`bJ_+w{89`WXjjqwG3c}bgs*aeeAz|7MAI4e?
za<nWahbgLP{$haWy;dShG2~5L4FEW;SS%@Is)~-hXW6aErHa-M6z|oX17Lc0-FJ+j
zigc$u+?@H8(aEV|jSt6-f$eC#_IQs9@@*!*x%yWD&B||*H_MHo)9CBly)G)~;(21r
z*L-;tp~7&;W!@N^t>22)S16<1IW0rX$7IoVzpk{0hzW#LKl8pZs)QWr(#M#ErIChV
zercMb3H<n_)ZM(Ghzysy`cS7B8da!2d40#vbM0yzpN%S@(RK#%RJ9NiF>)F)r#FG{
zAL?VzYX~T5F8u_VSpY?b@Ar@CG=`H_M8f$5d1RndY*|stgPO!5LR23b10l5TW`MmM
z`s4EC=-~u*#O6O{!*;+JBqGklW(&xoc6Vw5TQU>U9dn5p+y>A*)T-gxBaJdh86iwQ
zbcm|GStD5h(0BCg;cRm$#IaX?Mvr?7AB?q@7_|a$?!SNK%A7cgEqxKj`EmtMchdKo
z?Zv=(lvULGttiU+mnrU>vVcoAzEF)6!NA94Bw>6<{~_7W-({!H;w}zeelL$0!SVVF
z<<yd0=*aC~p%!w}xY_3FX_be&q3h{A551oPsNTR!QKR%9&W}9^m;7!BMs)QbXY}~d
zM9d(iEo}lne@5NKTh<Up${r8-zu`qo63InD`4hN}T{c^iuK^UuY%eId@}Q2@d9rWT
zKiraEYkB>xKG3G5>8;swAsf>7sadBfoI_r{qnlG7UU_o9+MsYCOO1MGkE1jA;Be+)
zBQHHTcsDv|;s6`+y-~|=T{nxr+|%TsU9Ahp3O=#$ma(9T_kF}NuX+4tv`k2qj4rTI
z2R}ZrV@CT_io}0V7xAK`(^|DRbiiUnFYLJj6G{y6NV+PwjOW#@9E2HdaDB)*^pMJk
zKI9*KdQy88AA0=pAmO++s40B7^uvz<5z+)+>YQ4~RRRQ+yxX*P{(+>X(?gHw&*&zK
zRBqx0$M<@ynrnfi@>BD2KYH|R(LG@gKMm4}-cR3KtqIMgX!MmTJ)(<x^*GUq7M*vO
zBG4Oaf<y50q&04OG>c&pdS!H|wpruWrH>lGbY(02zA!!d8(UO3Ey;k!Q<M}etTmu~
zkE+&|DLqmuzLim($%xXzl4^o`)Iror`yb66dNd=ax6Gl-jPkQ13nWgfgI?$-frc%5
zw3KltIb`R~tZM$bba;yj*_v++J8v@}g925H@i%OU?@5~G-V`caw0WMit<Q*<t6YR5
z3OP{vM}{L3I#kH~94Z&U%7lo)6i9u?h4>z+Idbp#v%&R)!#OKV$olT%d&k3gP{x0y
z8lF)UC=q-adYqL7RZHCs_)^4+ZZVAq_-as~F<$rU3qw}aUltH^dzlZ(Y7|CEwv*wH
zynxEgT{dK1dFyndlK}FnvgEt5mkbo=zUwb}IM86!Hp7n|K_quN%~PdS4c46=N;H;p
zqJ579w1dtIq4?cjo*wa3gEii<|MVick;saKx&>JT{jAV+dcdj%#kjC<>U$pa>en|_
zD!UjOWGRX+sv&_?UxpG>J1?3XQIzUsl|YWkE4QB}l7K(w=&?H+d??AxDen<c3I%@A
zemi-A1j9?M<-W!O2r1n8to>FRNvJv4k#_3Eb?c1pvINodPe1v-&B&mcp*oApcS!J)
zk=S=bObGGbu85!3lS8*iy?HjRBp8Ul&-&!0Fe19ymbNC#BbqI}tst@*uzwXR%<~pS
zKc6(sa?&WEzOQ<sVsF&oVA0yMS32TIJo%$maHt~Ed9Www%{elNiQK3PAxI)C7x&1P
zO(irVdW5pBN&z|bQ?Y(R(kO_<eI)m$3Oc_W(FRo%kWiEVv!Wz}HfiD+6$OaMr-|9-
z-$^QXtlGDJH<LvyzmHV?OCcfI^&4Aj8tUNt%)4OTM-I8v;qHT+WW-dcSHB>w0li<o
z#2!tNNBy^xuZn0=&=Iy=hUa8WP`uCc^-w(l-T0DCt!df0N8K+x=UugcRZVBpYC!>I
zrZ(sb*iexG(MNFq3vK8<{~(}JL<wm`Skr%hN=3IGJ7C!oy6`~z2CorS8D+g6?3o^<
zqQJ-bva8v8Fy<5-->9L2ssp}9RE|&)Y2?RMXFUVx=OS&kh^Qj2wpZ*Ouc%1>&DihW
zZbQib9aoUnuZs3e(N0y_QW5i`>de+4BM>Z8+tV6AM8=8l)qG1RsJyIF?*$FOT6gTf
zrcNTNoxSlhrG$)*r8_&zyamXQi~e9tM?y+mbJ2BaB&1-m^2g527#fd#x|B0dMD`-P
z{OmMTQL1<ynS06@G-CXRFBK3`wz}ayhFB$(Ep;aNh^q<AU9F^hBtt}j`J~3aw*=Jw
zSMGj6sR?W|s2-8=P(_oC3YQo9Wzm6=2v6DHCeT+ba$5VG3K~j1WPP1U8kG;>t<lRS
zAh)e@__eJvx_oi7XgX6AH5s>AtWKK1;kzEpW$a3bW8|B;%UwbAN8u@LS(6DEXDi<x
z+Q|=$$D8Lb(D0(vAM|5McT7O^pP-De9sw~er;br4S&?Pi$KUVGO&~~<e&l<V9I`@8
zQPwMTNF4XOX0fxE=oYzo+dvjME4r+Gz}E0GOBtArH3t6{26I;=jlM6wxjFM}25<7Z
zv`H&x3_3|YGtudiNY|^tF_CW=FW1rH(s%`MC^O+vX15p;tzbMh!`FzfTCTh;wg5O|
z#h)dqErQ%S=?0z>%CX4G-TSp(Vo=VXX~Ozp7sB@aezP3fj!7qg$-!<T@H1m$Ne&c1
zYA(SiPUZAs|FIKNoM?<7_tv<I*P)%9-S~Pla{mA(VWJdqTx~a0KN8#O_2xmzSGE^>
zcMW0a-JiD`?uNkji^KS?H77c<-fflHKZr4N+0{j)8Nl^fLH#IsHe@^8<#V$C2WInT
zK#sOwAO1K_G+aKwj11HKudt=|VI>xc|4vEk!)QxAS79pyTDoo`?dIQwiGH?sNc7Qz
z9;V&lmG|k;JZ`z){Yg8<d9qf}<ee^rew>XK&!s`Or7}jeKO3;-T@iOo`E;SuZm;9{
z;Z1yk?ab(_=_>4N2PNpJpAJNHjlGbbUBiz|q_Pd3xsTcDF5cMJq7BBO6JHBXui#cD
z`Ynv3FL1M4rItUb+VC{v%pOjYC468s*M+&L7MD_do$)VK3wS&dSZM+laQ+1&&%w4<
zJZ4344P()QFq(?zi<5Ks36DIg^S^I+vDK<>S*RuyjxWxVN@sD3#p``XJ^OGU0ml8Z
z(;D#3x?1^F*$lo|{`G!-`yie<;XB}aY9|j<IPSCzOydt#7WL>dhw<Grv;!AL)FIR+
z%cSc46wZ54A~*TS2yTkK)ROa7hlgAKH4|%-ctb|?T&d_dZZ2{q)a5S~UUPi%yb?c&
zCv+=W5+?rQJx+ICa0gO>|Jk0P;ebh8)~U_Iv~3c%4~d~DZc@P6*@3$ya}xK+i9x=n
zX7D!Yk=VPj6nK_)^QD-;6iy$srp325i~ClG-8Gk>z!{NszWU}Vys~Mx=vdY~Zrn58
zdFliiB4>VoZvQxqN1DEBTX9>&fvedqKUob1=dKA#gwNogtoccIjFxeakganD%_J~S
zxgfJ_FpD?cKNM|fw2BK=d%TrkAwhOWmWjK_9De)T4Zrpi>v)NRK(~z*5eiB3C$)s<
z@queRU7@cxasK6&Jsrua@WM)qwn}dSKeR6~Z$N?u{ktes^5M4%$PnWh^1>JKPsK|7
zpTcO7W=&j}s(}i?6FqsMe@nOtOH%HW9i1x7aX&XsQQnzzK`uRF1rM8;P@8$cfKm=P
z5Og<`;MnDRIy$CnxOvFy?c**?sP0#!@8Oe5@Gj-G^%2bt{HY_3FI%&q8(ssm8@-Ak
zB%dNQabycO+fZ)j^<hI<_b|Fl2Ss=pvh4WGi3ZtM1=Tpc<3OCe!dKe66#%PrE;r7n
zMRp$SR=sB2=#fUDztsr^AX|Lvniil(#-0l7AxykTc?wlet`R`+{!yNnc?^h_&#bf{
zmJcoM;bm@qM1b{DZ_8#^CR9_%BXC1Y0P#ywt0`6lD8J+2RcE@BD}D;ZXff|XA}<NM
zUNRG4Xi0YSoFf~OA)ZTEpch6JTa#qXZ}QMG()09t8V4E?{vN<g7DdDPvo;$q<w4+e
z$FIY}+{l`NDdBOfIMNoOUcvL^K`N3XR&AUIsjL!4YQ?3HP5sw*Wjp<d>P9s=!H1Un
zZan&LP8tRGdU0g;$wQ*%>RcI}07`!;W@Q>Ai{1v)Us#bPKxXJMdb~~$F{hM*6t6s*
z{ct|AFOdLSwF9GpB|_+#d|mijGXeSSD{COBD1dLwukplc5mYiP>Q$euh<FP-XEGKQ
zfZ%q0`}n39iVSOsG`OpbRyeSuscVYx*?HRZtfwU6$e4@tf2fMs<7cv{#>&vPb-k)E
zR2ogOw-1MukkG&R+U${b6|kfEd%B=g27M5lEFAqzMmFLF4f`sH5HTINvSKQS)>nSt
zqs~)MdR0y5<#{z|^12_?S}l*F-|^RGFHzC=lg5PSjT8{CVQl8MQb1SLo$5-*)X@xU
zTF)En9WMS8<s{puh~BNroJ+3KK%o<UbZ6-`ft+T>TYXX)u~fy6@OW#YC8aR=jtMO=
zOyF#t_^X0!+Se_(`!tc`1bf*B8eMqDS{<`-got=j+fGNZX(7wiY#MDneOR!IADn(d
zLWzs!LFE%W{r7*+iQhDY8~bv)|9(_MPNE-wR-D&F%=K)xhrb(v()UhUnnE&a`<B&5
z`&a{64zf2iCjvy}<fIG8QPBOuM5a#x>gcb*`2)YRjA6JZ_M)041+mp^qsLPev^b#W
zcKfag=;`*GS({Q2XYc$7r<EF7Vk#xcyPARqpIK!uHw76m_;Z=stDtkWMwUJsrf|@o
z{o2>#WVF@tbiGMd0lA;%nBI4C51i<UYVx#HLuZ6f{V*JtLAOnlq?I%Gz-Dh=(&KR=
zQo1RAe=c1N?I78MS9yD2PU_Xovb{UJ>>mEfX^9`zSw5q;y1r9?H!pubL>VcV$+r1R
zu%Y{;s=0N8J@D=TTl3;|MU?3AHnL581Gg>C^U3Kk1$sHVWx{0w`h8EZud#jrZ#}j!
zNbhb6M7g;RTR%C}<FYO|sxXYnyk)vc_-+EbYrZ-D_K-ooT)8=+{!7@b_0Z2nTN9uT
zpN)I`SrQF-w3q9;(Lm2H^AXu<W1!5cYIkpnqT1@rvs>B>Ab)O4MNY#Qa^AoBv+INq
zI<>fzT{q7JJcGd$ryZUhjkVeeWD-CI<3Hw}HM2m)>2tG|vH<dp`J=ygbY~QLvIwSG
zA(~vW5oe0QcFe`bQV|ZcdnDS={1zJw@E>|&x8DdNO{l#-znD<T-3ROkKCnU9!vpez
zCw4=r#4LZA3LT1>9H-1ZXM^R(3n$xe7{VuK`#i3%>-dybc#!T{HW;JO%3UurfTx<n
zqqW2ZyhBXi&2bkSWa>R&)%vRsF_y2VWb^;x(cPWVhbmZM`;6m;tcpHNQ19|`w|>V7
z4%JUS9%hA0XH<Ic1nL1LP~gApdsX<tOzQYyW>!cK5Vr2F(FKo>`twiDHDYHMhc<$D
z_TA^z5bYwW3oVM(T!HojSicEXxU!H1%GxxnaxdyYYsJ~MMUgSguqQfxZypN>f73q;
zKeRzRE&0Gtn<*^I_T!yBA6Wpu#C5jMLK`k9MDkb%&S7)31V$PrR%qZ+N5o1kDB`ZI
zynba7t82<SX5z;R<yAC-bZT0FUO7*$9a_Pp!s1Vatg}K~iE5KZp(gC%eHX~ZvW^*?
zl*{NUWrL9ExcmZTP2e3RRw!g{V$G!yd69S6;iJ~E1^W^W@M)s|G|EQ<q9s>G9;b1D
zP}IsFO??d*lrU%db&wXC|6_~^Xy=3ip3W%8CUwa1Z+^s=Ob3|2e6GDFH^|?KEB)fC
z4oN;``z!kB;Y;&m_&*OGsB^CDs9mFiWBCQf&nk={X7n!ZmnkopkE`c;rcoj8gZRAM
zO(sY^+hD<I#0R;%Y`mt7sbENWRPMIK4CeB`|3n_-hr+sgpRy?meCW7GWejBn$HVfn
z!I1(W&xF?bvv>HYQh4POKRX<>p1Ml>A_%m+n<3H1D6l?O^;xKq1Fi`#U0l%<0#*x)
zp}UehJe$KWE|bm$Y_~rZl0OPV+r}KZafe%ZJU7mJTk?Q?;#9iCIZ@D-O>YalNCr|-
z=WwPYFL<86kT7Q;4yZW!;FvlYQj?Y+)Q0eZpJ$dvk*XvpyIT*c(UV~ubN^{k%nybw
zBM#wG(qQaVDv~~-22YEF2(jw|(D3|M4Znd5OegJ9>zY!7Tk+Qd8{Kw+MQ(M7_bFL;
zBr7cQm75I4%E_@@gF^8A_Wp~*d2%4Mm<T@(kb&-6>mRug5x|#;&wUr=fiUN2lw3&$
zT1gtUOUhy(PPmu`2NmG5%K^4YISM=p!|rn~i9>~@^m4;nMYtX_P&OPv0T(@4%<Q`)
zyo~#(dO=kgLZow?jaMijvag}g+fN$G+d1vxGgaWT_%nThTU3y`oOkwBhz#g2SSoY#
z65)j&2=3Nahm03K&c3m-piF=EUDQPqM25{%tZ6mC@CApc>CW807z|ssKC6Lj1nBLb
z(11h!DzBkV9y(QhaSl2PNLk(ZlDMD=S(yHTyx#;UJ$M%cZ&6_Due80JxHe>px_%nl
zRsiKOC$9aA6ewyu-dF3U1IP9ydYAAjf#`E9J`AXk73r^xeb5C7TkEb_eq{(8zge5_
zNrgpAGwmm2eaP!_suQG9f$Ho7hMPyJux(@djJenV3|((Np?*<;rK`pGiX;`TXT9(I
zLfH)=H{DrWFR6lM$dIez3kpo-eF|eMHUb{^7kyIes<6nw#O%#U0XofV-_COae0Bf&
zwPhy{=6h+~_6k&k+tTKA20MIY95(cu<rER(D;wTl2_S-O13{B)Z44rTr~HI$i0~}R
zJ@SmA3W%CNh#6@z1}kRQUn*;=VE^%)o^QS)T#%GaWh3u!;+**NtNyAmS4#{b?c^lh
zknXnZV3QpV5^u38QvsU2q%B$(S=g-4eJA(W1kB3{GL!0+A+@L}+4iy&cwINlI8kB(
zqov1xRF^5iZN~RaNtZ;Sa&gtpC&vUXe31TU9<B(V{4=f%d=-Rq>*JTCubII2sy&AV
z)fFHnoP+yMDlf3-{%cs-YXT`oiq+~nxvcBl+}IzS9Uf?K_-E0Yz{RN6?+5(kAokkm
z0Tx?EP{cBL%8HC3#$i_GI)f}k@@`w$)@)-r=3X_?cE&(DesO9uQyMOPu$4LWZ3&~&
z33o6|0$f?r>Y$5}gc6BInhwXNvBBxT;W^O&S1WrhlBdPMc3W$u#`rhpq}|EvBo44l
zvv8EMql<z1@yst{-PjR|UV^h12Fb54ZATD<VB<f3!bOb+ER=rX!PUD)&^S>rac5Hi
zaQR3Fxud06h~XH^tB<?EN7Q^bEiFIL*qv)8ksNV;Qk1j6njt)_|8vls!V5~=ae4DK
zkMNEV=k7h4hM>!G<k}ZOZn&(Q==(nO9?oP!h|UW#fG!q;crPgqI4^tpKL?H&tl4PH
z#-manxcM8)yLWu-Yud%5!7`;-s>p!*WjcNM71_!%E6ofH6h#BctJT;^2NCa|2lQZV
zKx{uF591EcdA81sHe+-C`vv^-bfK5j)uCcS4|PQ)+M_Q!u!judv@|=pt2#!o<<v`B
zxOvR_`BqmiMjp(hcpujRw8#|R?@R;!aFTIZW(fN@e4XuLwKi~HB)Mh=ZDH3G)?HkK
zeqkl%LGql++Hi5j<Xln02KL{lKDpW6QEbTjEYRH3g8tLOEQR#z7`@iC_0qw=Sd4Xl
z9hp%Jw2v8k@HVVs&xxmnU|<qcIez@ll^x#PYFkZE>{`L98O53UKFnYvp-Ba8vl{T;
z{0IHK;tCd#*RdL$I)|-n?=Ry$s{wHhHhIRC%NW6&wD(ff0+vs0v{#!_hnc+Ace#<v
znE$R@!Q0_W*Z^8^6ADxZU2fMRpX<w*>z;Ye+{6`(y&%q{dX)+yS*{n-UoT@)<g;ZV
zZ`ZI7@fGay(Ns8*ogF?azJfWe(#OrxZeo)K1tkUoJN|JY(zT&<1@rKHBL3HB8+%!B
z!JZ|b0u_}RUGf)Jv3hcq_vbAdh$BD7<9Acwr$o@XC*Et=L*p~B?>HS~KV$z}T0#b?
z_1lA2Z>(d7kGt#pbkjq+?Oglhj{jHP{cao5xq&5J6$y0pV}w;s*ZwWC8Vq=*JQ#M^
z!icJkZgFzVK-K&AQ1&tj1Y_R3w56wkX3zTB<V_Y}a8lDNY$Jl}4E8u?i3Sq#>&_qC
zW`le&@uw>!A~;xv<vwJjgV%n>+e1W7h$pa}PTb*8x4pAZb=2u0H?HkXS`0UQHZ7au
zWK@M<UqYG3RR##um#m8C;)P2=eKhLVRKVoh6({F^jL^^+FqCng4-!nQ3r3k#z>kKG
zDfcQf3^eI#GOqDMjCo~%d8#t39_F{))?tM+R1M+dj|Cw)g+D6SKpBXK9Qggj*rAg@
zAo`%65cGM+&)oZ`1TL>_I2Cs0Q<#VviE$GF!N*VKHj0%%Fu2h@*^e6r1NXZ>x*`S*
zwHv2-qLqM4G&ekVmIulTZtR-=Bmt&;bBFu`l;BE_A5ZXJKKLI10RR6Kmv=nX-yg>>
zvPbqRd)<3+UH4j9pEp;^SII~jiAu^Ssf3c1QMMAHtVCKe5=EcWuuGIAk`+<NCiCa_
z?|GcZIgfMB`+c6TC+&CL!@V-H;NmrrM-CuDNta27P^}OcaXOAjos$FN^}Pcv8AQlW
zO?zi%BLYkcWDdtZc@P(VIPTd?gm)h2#GkN<!R0dD{E1_VaPr6<uSe!2AoDrxtNtMl
z&9b>l5(H()+T|nL)=dK9_^bA_-ICBO^m&0&rUEZ|AAQQpA%lWX)o<73?Vx)~*U~<K
z1ZFuQXMM6%;c$EXR!d_UsLpo(u4kzV<G=1}f9X&IIS#j(h)=SReS+2Zg^D^zKI^0B
z*ivBD*u0QmR365ABRFnv(Ezt}t@<KfDl8`Y6ttdDfH>;4`YdlMINxZ0ZZD|`M?<a5
zo8Kvdp8eJwWeZKv@%&R3WkZ8%rBTy)qB86?v-z|xNP}+;f4-Ph&>>2NM~Ed!1;o+|
z99R$yhUj*Mb0*qgz+6#nH${X#=Eh=*IUU?II^u^Gb)fnDw!}FzGWeYU@9kN1XqSrM
zDr?h&J(bjh=!z;_D|bwLzqzj75#2G?clxlcQjfhTUk!XM2J-L3(!t6`i^Hql5CR6h
zr{&VsfsMtq^MoiJ-WhbBOlUF&B_V(A&j%<_WuDq|-JS+V4(xavbQmCsCtP`F7X|Jd
za!Q@vJQw48vV8n56WD(K;_Yf74G@2GD#2+^1NL%!zZf893cIf|Y)4r%;O32NL$x6_
zn6%Cqcw27@U(pTW)Iti(^e7)s4<W&FVqQ_xJ_a;oZkT^tRfiBir^k=Rl)yqx+RCVe
z0bcb<cT~95!K+=sw|lod1b-I3>-CcXZWdJ)BVDR+Xk%3FXRs9T7v&m@PBS2ToN~9r
zmkcW9q5)waMIqZJgGJyQ1NwS}+w^*fAUwqCx3iKTX2~t9xAGWp-~7iLP8AjKi13`@
zxWfiUxbLZAYX*$uj0(!TDnV?((1*gzW$eM~mzNIXrf@g<86hK40W?+fO{JMfu!yA$
zUdM~3&?>t#-U63{K!!Bi&s{I^>wc}l1sf(1H0KyAG%EuieqTAv7V`_AnU_ei3p0T!
zMVtGQSGR+0qr<l0pjliq{1{K#2EZH96JI-aNx(r({<NEF|8SDA;G?&p0BPEnNT+v*
zg1NAx`%UT^{-sIn@I__-m!<YjuOmWW*Lta0uX6)G9dzvb6#)z`?|jb6_l6%H+K)w(
z$_XeGAB#GyYz%C-{>4W>=Ybu{_xOGInGmM|*Hd;gBXId^Jj&|K0q#9L!3=38<T$pg
zF3HOfUOUI#bM)E*doOV_=gtz)N%O3t+6)7jtw^<b+(&>}uA?SycL}J?jN4MZT_5;=
zMD^*NT*21eYo{6v2}t)=M9^`5eK`N*G}#c%V@&etldI_)xZf)G)sX``Am-&_YQ^&@
z?EK^RwIa{f@l*WMCG-M4D68|kQF3_{OW4^Vnb^06_gzcA(zU1y|J~BBH;?bf?pi{6
zqWl^@x0+JoZKDf&$z_idmOo)hw~R<$(W|(x&6(Mxr#c{f)HzHpzZ&xjUVEr7u!<Xq
zNo~vu>%f7nSw@d6%W)-#hQZ?vEBGCK%Tk*VZ4l*ta8Bg&2i!vU%1+)#D>zZ-1J|i>
zEl8#xOLpSy!ut%SB)wm+;N8zP`Gj1x;M;(nsWYV?Po_<|%W$sZf9}0{EZ#|n_{9R;
znDr;_m|nu<8@Y;~+v3vWXhR1lmn&<^S-<cU<~+>+tu@>--Sb^l8x1(^G8rcbfACzY
zc;G?Fb$r#&)ktbT4c;FU8CYjb;)a>7$#%LMIK_6<<$RAOjOlo#4OCCz?f11W1(*|1
zZHMumryiQ1C;mrfr_~HT<tuY9oR0~aZ9A&dI8Oz?g8en*;aU9K5h?4jIVPlVWFesH
zDiy?St|b~p&f|%9ocD3BFr%FVSH~k{s4&}CZTpM5h<AsvCq&C{K>?4|e;huq0eP>-
z%Z^Pg;rEF99ZgQLqUb|%f*GY0css`^`_!<EcO85=e5#iX1uqH|_b;f!hK0V&e>JQ4
zRQ+Q@qCW@fc#)uf&P*L-ZG{LUpVo2X6d&FTdR%CEE2ma|rW&;7?3(w!N<i*1FU0qe
zcu?sLk2{_JR6)GX_|}VBCe&Ci{65{14~1GoaOzQ2(4P7DLym_9C6!rCrr7YK&UDxE
z&@W`zz0~(S;=&eGd&#YwCsP24w@n^DVn>D%GvAi}4OaBLZnesvNeHzbU$v$5lHj9B
ztB}V-b~I4WZ%K?5Mx;g+ZNBp)IGgZo%{`bCrJpa*&eRb_XB(;v+$BihF^uOrT;N7r
zU#nPcIK@#-zQ=>ERwCqSaRv?E=0%kvB{iS6NTTn?N!iEJh~RnCX87IgR&+(f@^-T7
zc4RbgyWim~5zbvQuk^tLP-N}&@#auzG#~vZ;{0(U3~^U96Y>O+Pm~r<MYt>)Bxip8
zwK-ofw8Z18tS}O>GF%wykwb>j#D(M8M3DMW+R%xMpx@mIJh+tts*?@Lpo|kCP<s5!
zjW98^hn;(psap{h5Zhx!j*y`K_}}}o?h@$H$tUlMgOyQkmD$V{W-{1qnO8mUy$xA$
zjfhui5z+T2k``w=$$&QnJef?BLOV+s*T&aLD5_!c&#oa=xLnlit1u#io*sz&<=?4_
z&X5b&-)X1=IizN&MO6;%ezS2pyFwkQ9hj;renSB>#Ssg`^YTc3`O<VyvIgP~iV;w^
zp~9S5^>)Q(1@x?PIn26*iYjt`&MA9oLepH<xEWaq8FEy|MPAiJfk}=Qs!wR}QqitP
zFIgF_H<a&>v7{m2G^^fTDJ>|=J7Z$Ipn^iGZV-kiX{f5_;rzBLZP>Y2pg-Q8gnSt$
zy~j?{k(aVd;)Nhx*iDE#eDfX|J-?kYm-U#ANKLemm(Dvtr#K~R?z<|gT_~Atsi33%
zzmC2wvNr(c_D_??rq$5nqPgGw{&e)l$MW)klM$@1Pp4URsiPQ&ERM84G<2IPJa2yp
z1GfwB!h>TdNPfP#K1`T~z8d|uh%Nw_Ep$u&HcvsN{u|7nXQ^oatOonD7!z0>E%ah+
z*Fdpe9On!aG|=F%qsNhbrf@^u{WdI6kcj!I(t$Zuw0EV+GHh;hJY0$r89_lNfnxp-
zf{94Rsau-kECZBHM!1yTs-yb*`!8Mlp@=x!57JN8F`%&K*2R!oHFWhTuXU5L92(jm
zk3E=Vz)m-|iP|7l^xHF~-1_o1R7i8<GMHk(a-@r#CNml71lrZR%nG9~cgGKUw=$q(
zPo<*YQ6i$22I)ET^P$QX+4zP;2IMxlEL<&AMphEvmYj=O&}nOpttWLE@I2tA6>YQr
z293=f4HD+@_KQ0w4z!v=2}|fHeGUaw;n!c)q11!te)7}Y?q~{nNBan3`f|wQ<bRr<
zlRB{G%tLt>zMH_|i=|rjf2Gk}<S4WI+BlZ);-_qM$OMYrE5qFrx1qq{c+p?!^H@e(
zPK#>~z_sqSUH6>C5oc{yS5VzDw#?iax8@AcvHYRd-$?{L+~RPh)_ENZ)ScVGg=26@
z2?Z6U2%@VOQ=b*?Cjht5R`aqC#^BVb6Ew=ik0j`yPB|<SK<+&uYWSxS@UCe)IUL|d
zysAI$JuqT|CJD*djV(qX-6eE#n>af%6n*FYLXQcGCo)|Y)D7X+P3Cu2W-RFVrTncH
zOibXP`0jj|s{uTI)pI4Fcmof!<Can^CcvcO<vY|2efak=wB};uKO72PU(PiqK!5u{
z!nN)lK-;fV@E_M49;5m6Iz4j(v$wPv<WkrH$#ti_DF-HTA)=PWw-@VJF8g-sj<b4j
zJ5zL3?a44+P+xSYb$kt@tchIDZ_tH6qQ6JbN)LW=nCFm_{u(C0Ip5MRuM6|t!r9Vy
z-s2h$3tiF=SFy-}y}cP%bfBtR^HKhIE<RHyW%Sr=6<hL5&kr5bhEC}cr^)o!m^%yh
zfR%d{<F5^ywc4)@`Lgt^-t14<_G=ISV`5sxmg65@YkjK)BCL}&8drNTih6&}1L7(+
zE-2amL01d-4oQ@jbPZtSz47~^udHGshck(aPw5cwhqzlWcNn|p^SHiMa19%$Ts~2v
zMhCW=&rGD$#xM=-rOyRl*RX#A{<U_GX&}@Pm*yBhj%}xi$>@Gw$6`Jn7+lt*!NWlJ
zsN9c#vF+-sf_^Ln5dL?s?ZyjDAa)$*dKW&8Jt*@NQ+h#wkLh=F1$Sw}->f(5j*_!j
z+oU1ADv=4w-=9f2^OXu8f;k1kp3h-{_f<uYMli#5$z#}~O%D)>yt~?Qcmb<IuS;&F
zu|WRyeD-D*Dilt3n$(CaVYe4;ltn*mfx_W7tzt|Ao>WdT{09DEA@_fG^{TKzyP@9Y
zm!TBU2%A4I(XfIE`4N(!m>mYZ#M9Or)S)QaCG<<n8rE{JyT8wl6B;$8E33rSLG)Fy
zYx~>=CVqOO=_#2Tu4=c%?L4anhih3M7b`FUtz~7$8kHB)3(DR~d{KqT-A&)z-I>8_
zm(KxrudQ&Y`htFgi7Nc?JR0JSvw+julVG0-ewgBQnPI9X!x(S2!xLRrxR`Zu$ciBd
z+yCDBdC!0hU2Qc(CT(o+J4t^{x>^Wyd7B$*n@O+{7O?+FJO`NkIXM8Eo+s4)XfXB!
z33zsw{`U3d0)_Wg2Pu4FP%l-onjl1i`>*&Umx6gfJJ(X)YepQ_vBT$5+KBMB+kLR8
ziVq?mCz4JRwgLYL(X%3#2vdYfT=51!bblP-zo9P$;%m-7FGLgJuL|$eo}U6R8++vR
z-~3I_`$N52A4vodBd{E|6M{rtDT_2IIpBI$zK=VH2ye=zq;mR&fzO`DOeI1dIJ6$_
zr+*`YOxCXVyAwsB__4IN&W6Hfzq_l|=#s#b?@;cTi#Rm?A~vg~D#5+0_>1Q_35us<
zrOT})!QR3*FcVV&n_26qrVC_ne?m`nJh2_hPT5lz)`@T}mMK~Mm@4cc3;GS^NrRok
z{*!jCWaw+=DWk@z!G`zXj_0AW(CF`LFK}NCTuD=m5A*8q=)a@R^RMJ!L~pPwCXxcA
z$w|xTVhvb(SR6FMqX2WZMS;C)RA}TIf2`I?g@9C_oL&z_xVR=dlFYkV$1UGaL^9E!
zdt$eQRFe{DOC4x!`mPDJX*VWS9O&?!H*lzwq5=<IS_D+3&>$w(`S8*=EijG^IqQ@{
z1m@6W^AveH5SxD<?2O#>(2W(I@G%nT1s9xPj-rDRYiNnwem!uksT;GUsKPegOpTEz
zbdZTn=CK2PhzwV5TD4b$OLD?;8tHU6d-ldai?Jc(By<pj4yc2E{zJ)C9Xd?;iuWv=
z7{gS2*=Z$33M9DPI9wJ>gM;exCl|H@Bpfg*3#g>PUQ3g6<JUFe^BFOvVlET7*5>f&
z{idJuIp(ym*;C;c_R8Y?fC&gbGFnjO)BwV-3_;yWb&%rHx*4Bg3gqLXkFOvK7_xq;
zd*VR`zUjV4b!rTl(7M3PtxAEp*&s=uUS&8Pc<4GModLZ2W@l~ps6*_TVZL%>1&C=m
z>vHTX1H9D*rU<HP(34<mDCaB#!bSTHqc?f_U6>`xxQz@ZL3!I_QpCX~^`Y2E9|LN?
zUim$5P6A`~6f;p9LGT>>lkN4C0Vg5^PyNeOfhyZ(Cff^~kZSnt*2r-NTx$NjMC(!l
zj#EU@-kAUY^R@|R*ch-Sgb*{ssR-g`3DxqplbBYs+Qo0_rtq)as{N$CJh+)Jx)fb`
zi9IWbNZBi63QyNM&27)hLUWVy&uuJ&_-`uvcG)}=*ea!T?~b1o7}~|e9=Dpt?O)&=
zHL@nK_qS(%jj|-rcKp?N6~2fQY7<3DasjHVHIGkoi$RArK3O-lf{QouNY%*$-0AF4
z^i~#z>hj-DwoR<#YOZ3Z?5#1V*t0u%Jx~CS$S?4}aU-BX7pXY8W5)2v+Vbi)PCn>#
z&HOFiML=q&39OkRMnGxP>i(Y03Ho&MCGmd*)V_s8_>*r4BlM-YgeX>!@-u5}?jfKS
z!H2379}VEUbVn*0U;>}`U+r5{2`H7XV$__~07e$y?|f*qhDj>iyv0Y`oUb}Zi!{}T
zF)P0hy<Ur0SfYfyd(;LVUbmM+C1wZ65&8yi7|dW+jf6(a+;!al!UAX6Cq3wLkl(Wn
z{$PrMcPrE1t>NpK^N%NrdQhXnSK==)ggM2XO53x(im#UGrIiNj0-M<B?Q)r4vDt-f
zE8YiI@gp||`JK9TV6tG>RIx)Hrt2)nlKy!G=h|nueZP?oB;R*p7~PD+O|58x85dV@
zH<rn-2kvRZvpuwHeIE5V_s2K&->p{g7Sp(D1wn1lyOihhExH5u`>~qy!FC0oI$rA=
zbwvvfKk&*BVeZ8Tl@4_gudd+SAz>|6|LAb$f-U=Tk3sx1cXl7P`Ce_4C+Z!~(V@}s
zQusaA5qw3L_LLI8il=i5mqkz0Ao)?;;WNHt`0i=VEgUXuxb>h?+RJk^h>E{n&Q(5+
z8=F3&{X4dftGryO9r~vUxiZFMSAP7(UtM=+oXFqw`aTQ)zgIM&L!B&gCUhEC5AfK<
zl0ZO7X#q2z1vFtTP{v1&e-`JE^<WL~U_ytQs(j+^Qeo<|q!Lfj96l%Go$>iFGg_~m
zbrIP?1&1zi)f|fjd=H1!y*mLcD9ZO=|3ty2hnB_{iL5Q+RM$%LoU$#*&5u_*ppOD>
zY&Y_*)&Ij4qs6+$1=vu>!q<*Jaum4N|K$<u!xj8Y`h&&MbapgeG0q?EqYmToVYhFV
ztl^K7n!fGY#ff&;y%-I_)j+k+iE`lE2ELPA`bj{68*S~0<Y8=61BHift*=Fykaf?}
zNCAZxr99mTGz(LOD(Q;LZylJ?fL93rvr}7<%_8ZI*k3Yy0B(u!XDo;yS#Vfsh99YK
z_$Zw}Ne1pUKjMT2D*~Q#r(G=tQQNQA!8;~M5H|dCT&9HpL_oX04b6zUHGg|2gm91V
zY5^f6$Ss}LbBg6a)_Ln%TaJjJpE>r*=cP!nf1xvr&5sMUb$=zh%Zs5DT$87&g$Q#J
z4u`5Dcu?!VkHazC5{PYuEk-1c2+nhhX)15|P*0YU^qllIBz|G4>X{1>gh~&z31{&m
zVKK)o+^$l{|5Im?qWPwu*1K7J`YV8r8Gp?A{Xqsr#SNGp-bI85Q~&LIbwmi2tMKUN
z>d2wIR}SZT+=<{QLaVKr5k`us)8p(p@~HL+7k_p>5v*?CnN2PbMXsL=E^EmuqTK|7
zzdkDodV^~t>H@{lUPayO(bY<5f+Dl?dkP6=6e=#opOHj+?xsHq^;AJOy(4`XR%GZL
zno>-U-;Sb({`(WEPD1U5ih9pL6(nNaW{2KOBOlp#*^5l7D79za^t-Pbgp1^In%t5_
zr>)H1=Ju%}v+~dV$%C7DiPde-y>2-~SKi7hfG9{UL~k}CM+4X`cDOgHDj;#r=2+7`
zR8*pyBI>%y)7FvY3nNz*(aO5jeO`(taz5tvES#MNvyM>&#YrV37Sdagzov=SGI<9t
zy3;|$<J#|&2UHL_h(TN_rJ;wrhw}L+v|z&eX!)*}L=;lUQY2zRM@vf!vJ2TdaMt1!
z`JXTuvE&b>_~p`(>k^x(g})w5lE)1$IH@9AqbTm?Iyzc&T*^{AsSjjwVqsOd8WND1
z5#zp3M{SvFwpl)gpnbmHj~J$oxE02wPXitGT@-D+dEOZImoJIySW?i-x0Q++aWuqv
z=lhjDT>#S&o+0sX6vW~$=$sI%i8}00HR~yxK+edZMvj~YD!L}_rpBP6ZgZQltW^_G
z$e&hSkk&vUdya3j+}wxAMF}w|Hw6z9)x-a_Qjk>GPpYph8Li_7GMUX7P%vU?szjwA
ztMGuj(re1d<jk{Ql!pwE7g*-Juv;BXjv7j?^~<B{g>zrBelcKAWn!ACv>LkcVb|EM
z8`5Z$JMBQ(G6Qb-3q9n0Nk(oFPKs&o#87c=4PqT-!1YewDsD0f@!l-VNsbaga!Or|
z&np;k@DKIK&Hxoet!(x#9%n~>%S)|w9t;T4Br@urD50qkf0c^tRXjf8?VRft2DHcg
z@%h!GfL1?0`kC}=6h}SR<c{1hh3Uxwv9BERsNXuf`A_nFOjarF*NnI+gt(KR85zr>
zZ70aD!eU1-`15|ZONI%ov#$#ovq>S-#paXg&a+t6>^_ziF%!uDGZ<1{ErITZuTF`(
z{KHfX`kQy91NdCvIu@BNiumJ_U37BSFuSJ6#x-$(e{GANS=B;_`(2l3ssRC>7yc%n
zGsJ+1w;IOt3ZS-(S6jS9nLwGlVBBz@F$6j+99h%mMHJ$`Jz3#QpeDFeanj2Orb<<e
zRo`%+y-yQGE@d#mL4%UVc}a$_)cW)4t(RL6dwnJUXMZNh4pq=ps5JmhrL($8+nJE+
z@7YjeG86O|GE%qB>Vq(IVzhV73VuX$h9|F{0Oh~u$m3LfQ00}2S)ZQAt0bn~iVhOs
zyLWbw&V?QD;P&U8oXt}>h80i8wQgW#F#g}^H+sN|DWxcTj^gFE&y`)5*D=y{_55uj
zdZ0J(I`9pnAHQQ~{yx-r9eY*N-`svm7kaX5IM=y8;oN%`8_MpkVG)kwm#Ob{prC2A
z(K@aIXTDIs$A`Lxo!wynGNhpcgAxO~KisLtTIy9|9LH8MtDU^bcW-TS^Nu+xtZ&2q
z-naAVXkW#qFQu^2*tDVX+uw7aN!^%O$-JT2_$t<<FVEy0s0GP>yUvmi4`6?X_U}8j
z>BVBVBywgZ>EMZn|5&#j#_rqbrk2&NVM|Hp4tIFcA&J|lrI>XLi(a6KS_Z6RkzO^{
zgQGM6QK8a5(c{>MB;SBjCpR#(uPS_t4-G<XdjF6|{$kfs*fMum5P<pU<7DEjCL9>s
zE&TD;G}cG9+l&JQF!<$t$s|M*q}GGK8W_xCwQO=h(=ANUk^3-X*JiF?hDFBJ{y8k1
zL3rN$k{J%#-*3>%r2@6$f%~<@1uXK#k-fg}S-^bZ4KA)r1xzW)to^?w%vbf9c-+Po
z;1AQ=J#<$CR)r^$-$*WF)CN{X!Gmnj{CoX;@c;!jYA1HxWm(0nB`nx>eqo1C7Q;1_
zDimm97IA&TwT`)*>UFCK<^;#1IWE>0)WIrxT;;kX0saN;_GegggLU$=m9`IRkl@>>
zuWrT!I}N8EknDIt(z8(f5k(DdZMmEDGm;rR&vd+;xw;jWy*|>;W~f3(M2c{H9}656
zsf&BH%nwDP`|o|>Q-!51_=NC5R<O*RpSWlx2x%Uzu1}N5@b~)9uPKvk@L|&X-RNr}
z2-;tlz$Hb7Vb|UI`o$dZHRYSK+d&a%G5W!fuOfk9#<Mu@ST2ZQZZNbG5Cd9@DdYT6
z(q<keCEmZu13#9?w}_h_T35yPt!|UEJWScOH(U82(f(YF^Qt8L_%8lIW1I-;^^C1S
zxA{SD%=51%O$v_Ql-4D0dTT>leaX&o0XSGFI9qX323#MU9lG_N2*g!oLYjjR*k<IF
zfv_Cd`+Y6_`jZG;#p^RLBn+`@1h+<idGOk*v|6{F1RNTPwQC8YAlq{JPS9TkNN+lw
z_A!tIlOdJ2_Be^dSL=F*nlL3;uFkNZUfbm9(xWH`3rYCtmu;#*RDq}qFLqRxl0jo6
zY`D#NJ47`87*ZP|!hY|uBcx1KX!?@!r8-3#hRV&atUM-z<sHku=e26k`krJf;V%ns
z#ENy<uBd_g(u1H?c?zI^A9OQH<zPW6fVI(y0-_yDb*I}j;CoY^RQBqoKU;V{c_BiD
zZBeqJi^Ej#Nb2c~wo`;J?_=$b&QXCk?PskpFAX|0xFn0pl)z<O{n^B8P3WNq5=Rfy
z;q6POIt39GxPJS=;tPKo=y`K<JM?HluMAP9`#ceP+3Y@1+30}AM57Ld=|Io&Ar_}*
z5{OrJs!=!lP}qsx+tWf1o{yvsukfhCYx(OpQ7RogX6JehH1wfLFGyw^T@7B-f}7?-
z>7ZBnWF|nx5L{-sJTKDJA)mb1x}ZP@_g7&tgNnxB5>FKSOrXGMsK&J9Wg7h6z=mhI
z0rKv7Zp5TgfW6zWpgB$x?sA0xu3H2+{??|`dzb>3^fVO&H$5~ei8J`r2NTfwrt>CZ
zf&%0`vbuSlIz$9Ag0!Mc;m8%)%lX9=P`^DH>>Wvlb~}0Q8F2>a*>UrAN^IV*P+@Q}
zhYBQ(hfNejGC=3r(ZsVR>L4dK#1-SO0H*B6A{*)%kVyZ${8d>E#2z>2$n?lSSK13L
zt9}MBcd*Kgej<ZM{pp)Y(h|THug7BFvB^6HN3Q>@Nnj)2aQW}BAf#7%CSNaNfO%oa
zTG|5@*ez>zUbm17Y<VdIC9Vu8OUXZ(FrftRM8YmnX9&>An}-!JGhpt{&ulkEMbKW{
z+J5N5H1<CL009604A*x!)?FCDaeL3~vbV>>Gwh7tZKqHfm9mN?QIb&<GNVma$_izb
z*~IT;rCvg!GBTr(y@}Vq_h09n>pIu{{rKno>LMl^fi~;&d8&gnv{Pq$rhVJ6u3VQ8
zZwVt{yZEx9_JJg@G`Rbm&g{im|B2nG$}t2NA8xm!)nc$*l(IW5ZyJ9W$~_e%V+h%Q
z0})T)ZkV|Fs($Io67Ka#b<-jjU{#{(Ppz{M{70PY7*}1#{Vv~aqg4QCt6TS|4&jHI
ztga<hlYe;ny!1q|0|qZbWskA8^MasYRp_M3Hm<aZsEj@a&@vM3@BW4hat4JWw*_fX
z0<24XyrB<9civz2G-8A9AKHwi1~e#m;<lw)i5@7}ToJF(Vgixw5Z>MLH0Y0Hzo=r5
zE;NR1y9zv@19<4=?_Rf!e=}>7KFX~NogxG3);U|42=$VfKg~8i8s+R{Yq=MAHfGHI
z+E%fFx39lnl-$BK^h&p$+|z+s)AhNNSqqqDRpR$a&3`!e-A0eLUTxSIxJ@u*pT=B9
zHkZ3?H*v+fADt&vv?1j2_vPY&Uzp9IE{l_q8~BM6p)7MzS`hlR#v>g1F|NvlH^raV
z@l|c-5wT%SNM+(4<3HJs^?06Ozo@s4->x{6|G-2Oa_$^@^Rc7?Gv1W)kLg&$o8B!2
za1?96gBLIJw=AmgBa0dZ$M3J<oqqNg&4e}Js;-3739eTBp>$cJP3RgfJ+6_>5vLA^
zIjv(I`@3;<pJ;#4himwJe9}01OAW-B)D8Au{fT?z$5zk&TEi<FY?*HbsX?`@t<GHi
zFn(-*NY1BI>v$jAM*HR>6^;c6S%mY9;c5FjvJ!bWaH)#0;4^_#C|T2s=%@a{efcA+
z%@;QCq&pEZRT~sYX{Y<}LwgE0ER}28#rhAw`PePGGl~MD=Iv}6q#0bbSV+>-ZVO*X
zxY=6CO99sFwSPx==I{;0aFXD+ZJdAEHtS#x85kyfmAY@w<7UtPX%>B?LHwQZ#+jOA
zU{t)iQqH%Cd#B#?``bv1_;P87%pa3LCahp9^63)3wtVQv)DRtt7QOtq>8mQ7tiGzQ
zV!eXfwP?iLlwd%qrv7SQ_*5b5$}P`Ojx{_lM~!tQoDp%%D^1=#t^yJhCey~_>v)BK
z`~G4UX2jZ1F{55Ugs&fsPaYZB#Cz{Gjt9SCLFd_fyIE+6z>`1-EnwWn3td|#Vw2gB
zgy4@Co-WEjbK8@)q<{wfB@$j7e8Pbet0YQ3eIS4{;j}^jZ(8(xk}WxZgbNWU=HYcZ
z1aN<dd`QOhNc3|uOJ4~O8mC*k&h%0VzJz-jCca}p<~I))(z5JAS=wdq1N4>PlI1ad
zX?rHb`oaHHVFVwVk{c6|=uia7xAV!;d@QKOX(+%+QUKk1TI6QorwC94!7OX6NE22{
z-;M|(J@vl>SEUt!XkSAPVB<h8nrmG?ZNdmo-5R<*q5y}^D2J#W;6ifcPVYs>b|Xi}
zk;-SU6kuTDwOFbP4@!7*vcj4mhA1zdCp%{=fIEk)yjB%2()&aEV}FJOlI8dpSn)&w
zM7+*$2P^WSbM!uwOHxwkSY7#`a-9MQ-Lfb;_KqL<TD~8p-jPNtDRKNgG&|>!tt6FP
z5Jc7l&8>fYvdDPKwZqe05i$!T>-LxnqoU=$_KtEnbky<ZJ*jy`*r%%KKX0@f^*A-<
z?K`W0MiuW1OukS89m1u<H147($NM<*cXcJimTkhRmrH;}_XlvQP#lSl)K*>RRYvyj
z6|6VAlp)1w$R{UW5^c6ExL;i(A~(B~Z7WL^@Q|uWwd#;U4#CR7KSotia8rb+78eOJ
zjKcd)E65<P{V4&d?qtNS*3iv+p9~I-a9%lH7PX8^m6uvl(A$cC2Oc+3ptM}3ymm<r
zJ#(f)wKNs=XFNS`sH6sElk%>s?h2^#_#(&oekvl`NgSMctq#FkIR#c7ipa6n+tSld
z4K;_qa}T_v2@`Z*oIX+sC_STm>TS0gQhPMfvudji#pY`y*>GjlP{H{rcUukZf0sKQ
zVzU><?y}S|z96Cx#wpehM%2)~sJ!V4H$4cR>the7R6!RKo$2jD)KCMn#%Yx+2B5wx
z@b=|sRn%!~@ldaxiqMZMbSnUWovAMA7b2m34(YcvswpT$?|t_t4MW(PEGF~2k&pwE
zAA`9!8TB6stX<+Y0x2vkj`k!8z4sX3&0nK}CItE~9Bws&Gbj5ji?~S0Ip=K2dlLeh
z$l(}`K4}aA9|b!edaI)S?IV%=59Coo#k_CHCu6u6x%=5zs0!-*q@nh(LmFkts+s08
zn}EmA?vFn$i74W==`9lzag@eL__ics0{6Jfg3b;S&~m8x^x}RYv`^f<<07L8%;|nI
zCz>iDn~!~NXMgjc!qDE&QEkQ$@kBg7CsqOZ-ownF2QwjWn<dWRP-EzC<2YkjDTlgZ
z?>z}RyM}Wcu+29M8^gPdsHNI&8RSTP`rrr8Fz%|r*&35;1WxJS1a7ZMq4O>EjWK#1
z*wrg$d@Kq^AgcOhIYv$r#T5nG%D(-JRc*A`mgX8lUD7>;$MvG9Shy&~ZDAQZ{*(CV
zx1=Fl*UlZwJR^emTQ@k@CpR(5&x^(641gcC#VNH0f@sB}$|>X?4K$z9xrd1Zl)GrV
zwOR3@`19MbjSI9eP%KkwXM#cLcO!q}6doi~CMoRKL<fuE`m_S}22j@Q(xj@zfdXu|
zA0H#oLu|+7CAgpuHV2=&U9Dh7^~sUWr}gL|-kCP9KS2+Es5{5eXVRk>Ha_Q1{Pb|X
zsrqLgt_vnTcQYNvw{h**tg9X$=zumpTTFgwFGz2np^3Cx!%a*6)|<K0fw^(Wxo+xS
z5cOes^)_Gu&#=$%C9Tpz#N?5iN|$w@B93@jI$#Qy@0WFux=jmr%5%Gu8?-_6UV6)-
z><Di4g63Ekffj7WJAP*hX@luI{yQC&U3gN}cm?4b4Xp9u9-Y2gF#1z1ldtR@K2g_|
z8k<Z5PP&Ujt!<hRdTY<O5S2HW%XH41vNsLvOYBM1QP+f;MQt}#!WZnTQN-h*<1|q2
zNepa#tO0CUf@^-GeOQu_nU$Oy4Wvhj@>z0dfM9)akG1^>=Gx!w6B0`U9Gcta5n<{O
zpSMfq`PXsGKiwnDznKQ;mL7<kt*F7N!_Rp~8Ky8+F=OdLd0H5GexoDck{W1-3{H2h
z&R{}pR`j7yXkqw!G}Fog73$t~5oZSHFy%o~DIZ1$9QW9aUS6hxpQ^$X<Ld=XKZQdl
zbe#_NS3gP0r=@~spjnw{+!Cfu{@{kX>4B%CD)#*y3WVnTtd~Bqf|==Z2yk^V082-y
z8nYw?UZvP2XQ;1X*#(#VyOtTDSVSx*w2BNaH*Vdp-?M@BRR5>eq|Xd-=eCb&9wfsx
z-awXE!G9R<yo$-UA{O9y+;17*LxM1-laiH$ZS34yk-`CEHpmw9JDe;*0!{r{qwVKA
z?{!CRrksfb7Gt(4V?L_T+%r4M+Di*!p-f#ftDF!$;#V`?r~*!h1~TnM=>c`kWTkQO
zfc*(HE~}^l+5Z&?d<tNI*v_d7p}M><T5-yBUlI`xDBRd`onQn8ttTSv(YwIsoS>C7
z7ZG-OoR?I-#tc=?Wg(`2`G9rmi{FbxWze?Q8M39YLc@nc8P<UU@NxtvN+>8pFfmbF
zhK(I6n+G=>q=jH^>Db@ij|Aw7GVa-A<AndXLJ8Rm!VsLC$oJqH0sIFO<(;*-VV{If
zpUu>6h&H{Aj7<nouS2u{+(#Z@Q4^jC;Sz(HKHW2zBmr3W=B0%4?1IaqBTRozNI?3$
zYMlW;0j~V%oPXiR2ePAyf!h<3@O+t+eMW`=-}kXCRL$|j;h?6$dIM=V+iLRS=wSk!
zV(=`Izbgp&maBm}1u_t9&@!T&Lx7}y9fMPr!Vv3NyHckl2fn);>LPb5gVw_q*&xDh
znD4GO*s7HW^7Of$Yq&BLNLwpxD~Up(qhae!4@Ka3(I!`zOoaPczoi%Vi$na7dC+H3
z0^Ir>NHd+M0!>Fxuo;+1!tv+t9rF5=p=41#({4c(SX}-Y9|@EKhRONUvY9Gy|75GG
zn-LkR-4-lmDy3m`^L(|<2@(X$q!zT3C@?!kB5VDVfrBQ@{hJYF_-f(qD`Y~2!9BMf
zDAsa7LsRqR<30+g_j+Cl4p#%q8xP_#a^ykDbjDJ1g#zWZdT9%z>cHxmqC32(0JHPH
zveD60nEfJtyzYV~)b1&@AR8#bhG}3+-~<&OETpz=ifY62L}E}zAOV(Dv?lsQ)gXpo
zN>Lxvfr+>jQ~M-kAk2uXy6~$3zm6%vq)r!d_ujbl>mCuT<cRg|pQuorH1y_lo<6wP
zwprJ^s6Z~=5lt3dDi|=E=RCZQfkei5$?&QQ6m_3IICGi;Cd;B;HBSHr*3W$Ouu}!C
z3pOo3tjQqYw5d>X$q-6rMi_0pRpCwA7m=$QD&VsW_idGop!~3xrI@}d_<{M2SDOR~
z`dFKiS8D{#Gj|5Xn^ZuU=j`KqwF+=p(M7<EWDJ4+rRmRERbccs`*)R-vQX>g?VohT
z7#xorP^RG|Lg2F+{}Ki%u%vl8=J?nc?9PYQzWzplU|R9coLhU~p6bRX&CZ<HXJ+fr
zB_+5Qx$r&hssL!(UTku{Y7BFSKO8(Up#Y~07|MIsxS{+ebE+#CLy#t_{$MT-)~R3J
zD$SYTeB$u%*=ZxN8}&2SO_qh9_W63EQybW5ZprtrH;sVd$g+OifHd@-+f~cWF@;6l
zA^pB9W(4j}-W{?h?ws$lIgd?qBWAHdY8-fK2)BMNTU0YkKvwxv&EC%MxKHyaW~^!m
z4NZ|j-QV`WL*D;>dkak9wu%1D7b^e?#8n52JA{ER(|mZDZyqN~{aQb#1F(D%J8^hJ
z0CEp0d-bI+;U_ci?k7fKpw1ZT6?Kdc1`i)97XPz?Gv%9g7pED(PqFzEJd-@|3D3jo
zb=PoBh7Y#xuk=B&JT&xx2PYKo&ml3jtl@%wadPc_dSGKM`}?#DD`ffJZ4&;phJQBv
zS;)?&2QL+ywLNMWLHpd}K5yrpxrn~)yn!xww~!9}3Z{b$amcbQT*Yl~)GO<R>;=v@
zHgz&G+t}Rw<l?6075v&Hzv}f`9as+wnHO7H!(85UM`CTu_@vz}<i?@{xpnD-*PNCx
z^4z1co1d3(qsL)Q!N;`WTg^rH4XZh<(m#!y*tv*LdMaN${agzkGkw2Fxj2daSNOV$
z{r3X?`Rt94pIEhk-7V;By~HmJi=X@`$hUwy1-z{|?xhJE2iP}`i4I^EdAUzMIn3j)
zDv~x@+cdz{S1L`=q6_2cd^V7e&*2HXnL2*yXuw;eFXbcDk61(f(D!AtIb8mT!iLu~
zb$DtUPraE?fjukl%9WX$#cRf2%@X&hL*K<D8mGcc+~&;rk1Msa_?{a~3p5F8K*oOI
z^_B?7Ldsrrm(JpJ?y7q4In<!=k$po)@P9bY>|6P#X%;^&K((;ENrmgfu3;s;UvS3e
znp-BcbNGuc9pflYDs-G%es=xgH(ZB4H=53M4u81Fb;CN50&7lZG=B2*;j5Fzt4<?x
zc<Gw{p+r#%6sOI0btw(v+jku#>Tk~DeX&Wt`UPZ&j;*&~)E&m}W_2ANa9F^@Zaq`q
zt3!r7t?S&aCZl-R-TUDs){A)UKvvd#DhU+p0(6}Zj^V+3#45tiE#Z=9ueJVYRE7A-
zBvJ2Ezj2{0O)1XuW&8zQlO^Ap3P|OOL>!2oz==F(&iTr&;=kT`F5IT>{O1du@jUnx
zE|T%jQKxYYU-FDiH}E6E?#?#8BEcE_#ogaGFQjbXk3{PRC0{GUweJ%P;U8yli>Y$K
z^o)NvZI~FZHiI&#Ju&x=5u3+%KkqDQ`MHg2l`tH?cZ2}>bm7a(@e6o=nHa6DDlIx=
zBBcvEKEk|)#-jw5aC_%t2g~lzp{w);2fVnHpr2i>gZuq5E`9spZC^eHga%ZcF@Hsf
z$o->OdVdw4tQpno#u?FHt5z}EAq8k!t*WlOxsIn_aH)z&VMd)I#mbEK3a}@LI=)b`
zi9g}Z3kb+yMQYdIkG^h~hveMXm-lmT<CMr79XvnS(UaQ3(L6hOc-pxsl-5Cm^j5<|
zMJ>6Iow~MH(2yKxPwLj!?cMQw`5S^;C=cp3Bh}MfmV@XRyS)dR=+SWGe#)U$UUWpO
z=(mZ89Mt5*cRmbaL^TA)*w$n|gbwBfg*C}S0yDYdgbg#YP<=PF=_r5>9VsG{uFFEH
zm}YYDaaQCd-n1=YErgy1x64W&kOkALCyeACu%ibDh)nT5B1mt%svuHc7FZ^-OB?CA
z(6!~YwYb_n$WK#SXi7j9qH@QbH;?e3n8`4C%N>u<bGj<|iORyQv-ny3KVIZ&cxmuk
zxFo`yDA_govS9p&!6M-lA95JG&>XWVg$f*{oOXxGLN;YJs$EO~DW0=mSW1#XSKLe!
z;)iA7GA6aJVp|XmB}k52S;--<tWo-IUpdI*9dM+uiJ%cm>g#?f1@xbkF<l}_9>V5k
zJH8t1LC+_8rCNEF5cSB@`?B&1z<N{BA}T`+X?&C}s})g3%PK=BpE@c6^LLtEnf#JS
zsW^n*O<e_@N)9;K*sBB~^z!84^HONS^zJ6jaS}?e`fPr>SQ#>3nq@xflScO{Uf2D@
z$;eyAUWWKh1*~eT!;hYjMcutp<CGQ(`u^}z_7H`<(|gtW$HwK5iVRcgw`M9*<IM1w
zE~0?2x8pgF5CwFOH{1SLks3O(NE5t%Tn)bbzUG_Gql7@xv@-OJI>KXAbEow+V1xU+
zhIs}76=6Li^E2uwRavMh?T{AKzpbxX5h0?s(qhqFS{ms4ph3)bybk=TTDK_=QbEIW
z-H~!+4dkxTe{*zD7y39EZ+R7}q8JCZALH%ns9Wo=?I*(>|NiJbQJqUd+9y=oh<xg(
z|IOR;4VC~Sj8S@XL^8@wKVav&OhxmDc=Fpk4S}bQ7<<-*jI7gkEkuM<5bgY2Zt__p
z7-M+(?fGdk((mr-&$voLX_wjJ3r&oneW69_jy@SV>aSjY8KsOsPLk9*XAFxO;(u5_
zlTeH5^TY@<1;m+%>kghX0SS|#<g8{@)P3}C^5J=DB>4MyhD(_VINdML54fa)-nb`@
zKlBzulB=_k2OCV_eWGyanI2^nJ6E;5a!CMb)}@aZ6qvyIxXXNz>;$AIXX~=&&4F59
z8}|lynt;Xl*ntiKMRest^o@ScZ5%m@-9s!Ukbd9`tqzMkGMV3NHV`p_r<ddHMG3|*
zeae-PJS&5O$&z*F^ae2=r|a>RoW@|F!*fBfR|;`k{`MC0S;h?Q3swxmjew9>;{N7|
z1d=H#je1l^17VUa?(Q>&(8OT<U&EU{C`;Q&KH(1oXqd~gFFG57LrQ}=4}&mD+gC?d
zG|CLGj#+XfbpSLSy7K;JJU>eO%7w>GvI6tBDW$c208_N|PCpLwqMzZe;%*dnAVuFT
zRJer!V^c?3^(ziki_^PbA7O{7#$QL%6Aa+)*+lA-L(J$7Pgp*#$N}DJM{m3C^xoSG
zVlAOwbV#$-C-|up2P{28OS}zw&>k=;Kl5(`zb`x1`}a3H_~oM-#%W#fJ3cVP$+3vP
zbU5oE@qitc<?=%Oq;+AR%$+#9o<BGbskiflIy+or2%d>`-Me$Y{ZOjagNy9)Oy>H=
z2BK|d@u5$3!1qxy^?*$gE=(0QPK{xMuVilPtYvMe_bTjJr0u|rE~Pg8+Rp~#thS<7
zRy%!r*<UiVcnE9X3Z+|6VuK{@HIB_fEhryb1HJh_n9audZXHE7*ni>9`d;px9w5fN
zmwr2oRr+|Sa9glJ?uVa3C08^d%Yyx1n9?G4GT{84**k2Yx64wTbwUHIsoaCwM^-TD
z^=A3^8*Jc_5p_|>RRd%wa{lVp>lp3H18->Wvja0d>0)WGI+SRqJ+~15hovYUk61d$
z0clp@!tWf_A(c1M<nWhmEKTT!eWMO1Kwj2{@`xHZBpoYyyq6aA&A7g%9^?XvbA8Vk
zE~vpv3QJ+)4LZ=WBP|ppa0876{drp&HMn}E#;x`nJ=oo$d!!V>1N>_VVQMKmoqjZh
zA%e&Vzty&KIc$01ce!O~s~Q!qak_4A#WO)IXN$~ty<N~?-*WU=HwDHvw)cpwFhh{<
zzqnA~1MxZbu-#!4U>z&<Nb+Zep(`8*SzY+SC4TP8IaLaDF>}6JXJQA%jb{N#X##NV
zMKP)xCBtD%BpQ`*fd7%7Z>{D8p-a$d;&RSTKfIcJhh63ZX45?)r_Kn2-PlJ7OHVS0
z-k(VBQ{{nJ?M9`|O%Z6LKhiv?Nd~2i+>AmhFYuW&wUa9LfbyQb&Wzk-ka=q>%44w$
zJ{kL59*-A;>NwN1Ln9>U8I?P8{nAdyE<}m_7bO7?CT|?A!b#Ap_;T)e1wYIy$fewC
zmxPB8$~5z;NN~5jJ@h-PAk=HV)%rRk1%Fi<8-9Es0rvoz$a+}_8cqw-S4qe~M&aA4
z<7*^1c0KwBz9kGl6<lr^y6pJEjXkbLo($KPdi}#Pc0=x##L|4R9FXZQ-~a7KhS>z)
z52ucbLcE2`{WvBCU}W^Z&-aoH+K<9wwiU(Uwdu{|F;7L%i4LStBq&fjWpZ4aRT9)z
z)(S@3l)%YzmO#p;z!oL*Y$1yjB)bh;Q#E(oUSAy4r%wg*#fP!ad8OgOX#6wkj{i?p
z68JwXQ(;+_@vVlm40N72S~4-J0>!4Y?|53(V6zG<exfA{T^7r?=tN1tnE!Ep?|XIF
zZGHlt?RYar`L4pe5E&dj{u7=0q5;D#O{X>7<Uy1i6CNH<20xiIu4Ob@z*<aS8tSV6
zU2jfm<qVLaBW~kTy}34=JNnw2>7pXsWHI{U#7lv1BI?WCPjn!1c<$9ZXC+8oAO5AW
zn*t}h@xOH3JFava;2^3IKu~EC&tD>g;cR$i^L0H4zArk_JWc?!ml92dS!8Jab9K{f
zK_4C|J#)YUm4WNY>00&OWQb!GkbLZb!9E*-FTLND0jGV|BJ@EOYDA_?4eS9D#55D;
z*oY8go?<mcqXK^wg*>MJ0vx2t5!=g3gz1RRPsY;(@E4H#>Fj3+1<gZMl3$eJ&hFfp
zq)bI%s~&kc{nHT4W>q9-PAfwk>5!(8qCC7hFYF^tF@lV|mUmy9cKn#%F3a;+23o4~
z`CHEz0ku1GZ`10IAOEiE-`XVwY}#y0e33?=!p_dVmsSZlV*I@YwZy<<x=j5*lo90G
zIl6utQ-EuGf}L0I3IjD}(YV3K2;_FvRX3N)!>YeVsQo^E2tV=X%oQUe5FD5bZu5|X
zj+c|!)4n{A&tPRx&u9b%u@(Crd1Rqv_~@%)IW|!EoNU1T&Jc1LQxiifr9oS#Nu=x~
z1Dv|O#*lZ~5U@XD;&BdAph+H$c`m+<Z3!s-yvkw-9IaQGnHeR4_0+AlXu}okLEwud
zg?s=e_Gce=1&IOo?}V};hB@rD{s6HNcJ_<G#dHtaJ)o4#NTVF|8&eO6`Nmm^K~k|p
zWW;k};Jkc6&&qoU^Zd0*<2PmindYUBbs_|z)+a-wMeqk!XKeK#YqtSx*)*n1hVp}C
z$-ZN~D_^jH4()>rhxI|wYTd9pZx@`u{UhpLWgAwzkv)9)wjQ(`b}s#InFmPx>yO?!
zea6bO#Qs^f>O#lUvY>CnT(GY?6$-AjV+^AgY&3T1g0Uo5WA@HI6V#pNe0{hRyI=9f
zPStTQL~2X^3Vz25-`{Dkvbui5o(jC|)+^G1#8ZM)s}yFS>sJ=%aPGrCX*vqnY->Yq
zUT<suD@M>Gj@kWX9m3XbF*exlc=Ht(%aJJ|2H-k*aYaXY6r1f^ekJu%3qp)jk6o{z
zgZY{C)Xj)-Oi&}LE=^bq4&EOAI37(4`37NonVBZBlQsnPhhduVBZ;o*TRaU&?S2zV
zDVfGPZHeCWlNt~&sr)wk>NfV9L8{DQ?;Iu+`=svmaSgaq|5?^jXA65h8*uhNl?BX7
zjg2My^UlBK?xnDs{=*s+`HC|sOITR+%f@^&b+{xiaDF{)6Wbt05+lu5ux7tN=ht;=
zuzv_NSE-xW>z;S~OBdI$W4)Sk%|>dVUrm#e$G(YK(lt%XS8ibGxg(cbnyBD4?iA)G
zxrzCh+?*QW-NN+KXlHS2D!d*xRkc39iN$t$nB(R&5F_QEp4~%%XQYcsS__-l*{|)r
zL#edzp@7RHz>5M7w|b1TOa5W<9t)CdTXgW0zBtKbiwsdrWo9oQZDEW>l~TP|89@E4
zwV!x08NRZAIb@2qF%Em>2Z;hq&{xePEJ7s%t3%^+r&~0zzsKaSTMIK3`ex1N=8|B1
z`*^@zTUr=7%(kl`mlZC?WvY(+RfYcn0096043~E}mt7dgZL+fW-hTY1o$=g8grbbH
zOJ+!~6f#1HL`fNCN2EbYNvh{TQC7BuA|or=d%XTV=UnGH*E#3@+~3b?TH&8KbsF&J
zRnv5P$N~fGvI~|#fKO50ZKu>}!OzYlT;VGl*tobhd1m8bN}!tTW<v)7Z?lfyXXk+H
z*I$pJG<Z0Ag3@fBN)InTH!1p_-~=DrnO2@l%5b*8-F{<%0iH2axQ~@{K^4yygYkkA
zc&-`TOS{YjmXE_8XW)3CNUrX@YnT$y3@iEH5NC#Uo{H_4pLqdCRhd%CtppbttyQlq
zvOw2>Ljzk3Kct1+U&*P#L1HX7EwaD{6CU=(93Fy@eH4G3?lKO#BA6}&9OQtq|0caz
z{e_{o>)M?~eH`?b%Y89HIN@dH<8jG+Q3zPbdC)I|gQB$jhqX7jfc_fWgyfDmP%h*V
zQzUSZTqtWAG0zQ64&U?0hLYfQ?_Gkk=Kgw%F;(WvyzuvPMyheH6o^E{#L@hRgVu?k
z_j?8S;p~G8U8M(QpjPGu2iA;(sVwG1{viQih`e$nHC-0S=jKZ7jw=DZve~02bwa?V
zSWx9kmWQHkspHJF%3zNr+RlF!furq4jy^*Qu&U@rh?r6a+LKugIg4T-IVr>UJRJvt
zLjyM-9w5MMEx&MmjszrTmae9rQilH7owrxd5y6gKVi(^b2^T)*@RkS=fS>qP&M%$>
zCSflEUUN#rnu*<>T{{sblDuBKMUvrh&7t%XCmHaOac@6YO@d<1JFil5De#5v%#~AR
zvJjle<FFk<hM?{5p~K@UKsD#6w?{1xFOy4lzKT)60{<-eyNwzQ7kr9)enJ5@#I;@i
z7Eqw!FQ>BXlseoV@lrUPt_U8B#-TDB6mV^Q=|#xZg#4wm3+atGaA4h4yC|#zPCQ1;
zjedtflU~judr%38itn$?QK^7c%u5b7a~%k*u{hq>tPFuC*wQNtDG(wcM0HPD4~$Pn
zCHCFK!;@np@|{!^XjAB{x=alqd?O-pkedLv{1a}m36f#F;gO2rFM#%w7dYdc2+-#F
z<4D<WBK-6i8Qmz+2lCu#X3QA^WM%fNM#<vg%7X8cd>aG6?KWQK6(xYj!$|uUZXEDN
z)4hHC%K$#3U)p?A@zC(Bjit6(4$3EA83Z0S1jnKgmWq017<;2BTYg>|I$}6%?#CL!
z#(?j9`x_;2i7$Q0EGPjCJu>4{IflT*&W-E_;(()bq%6Ek5FFNyJ(s#?2#xPKlvwB$
zfw}urzW*#YxFkl&2l*O;mFkMy^GovJloOR6q{Rlg%~7}w1w%-Tj`M72l?C2xhq|7>
zv{1^vk;c_&0O#iIC+dY{pyBDn&>;Ofq8ZZ@P3>m@neVD!$aqLW{=-J+XN}{?I-RIa
z+?GCwm^tRjy_Nup=SYN0Nh%_yIT=tIs}JR@AxRq2Vz82a=J6lKVRTaN@R66y`tZPU
zCbxD^2;v6!C-P^}?fQ{Ii4*{y4%yA`i~=Ar>A_<#v51NYi?cNF0Wk8cC=UZKoECCF
z`0U^+nizhHy%s@WS`C(H%D4dg@1B?g=Q<i*(|0AnP7i*y?XjmG=YYJKHy`O0H_(KT
zhd;wZbRp{I=;r(5tWdI~=o6Q;fzGZM<s0PdfcMND1yOG%$c)dbsyerU8d)sfZThAS
z@9#Txb^WG;YL#AOYGNI&fb!5W25rcByl$peLk(9__<5qG*U@7xr~`8N5R@K%DVNf-
zgP6tTSGH-cq1H^^G@*%F@aA08=AoW-<h&wp>+qpfv^3(40-;wEq?W4A6TOy^5WU-G
zwpuGF!wt`{HF-_w7T+^OBIXhQo=ZD|u#9#{h`kGr)Bqo^BwrQoX{5Cx>7t<B5-J^P
z-(WYW4g{W)LrlA)h)~g^l+O4?^ayvF{V_dt7;|A6VK5p(!ZVo62f7x}8`EiH9FNo>
zSJP8E_gfcou0{WyC9;6(<rgh`a;U){-Q5eee;SZT-LwA@TjtT4)NN;>C{>tfj%{F-
zdVvgY+~Il}HjiEx&#>8EQUM;CNHpa|5z6#**x21-9u2sACu!7I1$yZ#Zm@CHqFuZ{
z=L(GG(T#+&|2_S)&xaRwnU@Be(Zl%D*Fs(9QN7<afht}UsL7pIs~+w|oyiU4)vS5+
z?M<6FmuWJL*(I+~U+F`ylKvgR?aZUU62$Yk0?0t$`uOJ2)&bPL!(Pnt+5&nuj4M!c
ziv&!y$sL^wzfkA*b7dV$i|88_VM<K`3H&b)EZ^K7LFLGmKV3H$(T2f!p9H~uZe_oo
z;M*KUBTrjVcITGR;g3Z-;*LbnV7FBa-xx=QuEtjGFt4D-SKrzu+#rC?`ma)Tno0D=
zs7sE(@l~`B|IAF~BOX-d=>K^OPoqhGXEpxA*3i^zy1558lwridMt9SE7X1*f=aufV
zfx4is%bbUlA$MNz?8^sp=thmBTpE50ea%k1r53FOHQKLaaPjl#vb7?9m9&E{S`#!Q
z+Hl}i%J_MpcLBYXGQHO1w}&nkWd|-x;((lcIdL9YLi1G)<^5Qs!akj~9eWYBU;i#)
z_t_ej(FOLIh2Y~f*ztwi2fGIpfThPhoZ<W`%BFouPPvm7)5vuUO*T*fv4`r#lbY+O
z|AoUF+F|rq5IU$O`a&KwX)GHU2%9K5XL`Zdk`XJ)Y+&w_k%vq_pK00?+i0g{(uld$
z0jw{><A7X&9Iy=?KmD_K7xmo;{Q4|`1uH#UC4Wa&4#Kmv_#+-rVeNHl734KGY|_mu
z274(BQQGGs)2L`LoeK5Q*b^L>#<S+y7*kp3Xk3c?nLvw?2h<kFzHnlssOqf#X&I;w
z?8bjor^mkO#yolD&W$Bs4*k5IAp=A=RqY`*Ml3MyST>&mFUE3K=Cp&A47_Qy-<9V&
zfZZ3t3~c%MvFurM-UeYA_;|#a(rUtjW!5dMH&Fz!nut#JGpo{2^L_h<)+;v5hQ|Wm
z86}LR-bgEZJ0=a+lam7Dl{qjYP1`5Mv|`wZasGjyQ_?Up+StRK$BBjP#mb1CmcVRn
zyDI$;$bg;-ztCM3ZcNZ}#wVs<5}QjpNO*1{1J?L!jIpyk7`ILR>%IVK>~YuY%+yjD
zNO<yPN3w+vLq?hI+AGLn4V0H3eyYlXr=Nb_#clzN{m-kYz->9K`Xn_$YF-wSs4u8+
zGYVtMT&~6bvkF+rr6sD5zvUpJqV*k(hbXr5wceF?1&2MXxcaw~M*+P5?Q}WMiDS|u
zoesvFcx-}+JD&fxBAn;ZNToj^i3w<1REKF1v6HIffj1qLAf1<+|Jg?=EFpy5yrhDJ
zoo^at+K$A7_xEngPr5Rgk@%a`YZw{3ZRhV)LQ4X9rU<mGNfu+I(v~Q|D40*)6c~k(
zp>1hR%<_yp##5v~A6BA*aV(kI9#K$%+@lOV{c8%?jqQMv0dG|-H25NE=ztm|6+XTB
zIsu1?-f$PRTT{gXl`A5IL^Qxe$D!jYlQQ-!GOtDAuo^aew-~WFrL~`%?l<cA;xV>R
zzaiEAabki0;mC4r2quTucNG#a*>?;lCTCSK{!c;ooOtvgL_?k9eGw7kvrF2#qo#^&
z{2rzn*90&ZPsj@+k+8Wz{(}NyD%f&bfx=xoec=3bC^W;9gi)JE8tpwLV;*Yy<a}oX
z*!WR=%<n%ECU3IqW!6W;@-LN0oz^u3#-Hgq8RjGmkLqTP{Zzv8k0nJM{$~i+50U74
z{t>aCGwjjA+47jKT7=X1c_WyZW!2l7BVZ!bwA`N%Y0SOw&SGGd5hQ0kDqzULW5?X4
zuYO(-#iCTNpQ~*(0#p6-y%@bRHal&c&N$4AF%8#^Jbi5hMwZ+@x*9m_i-_GX;9$dk
zyte$O9%Ka0876ZNK>=f^dGw)2nhGoW)^a(D-w3Y8jRrE1<uHy0*UhhyV`wesdeD~w
zLs0%N^FkP(3^u&$`13*cFXVDbcEk%2LoiL%D?hg*i4|`;g?&m|Masw_wY9elz=A6D
z*r{Q0>>{iG`D61`uoXO2r@o^PsIN}a_rJneEu)(59)TXZyM1OheDxtJA=2HKD1a5m
zSyEhdm>}1*d$eH)z%EVrgZ^_K43V}S8a&Pn92r7yoNWN|{J71Cew^5Z^~~?<`798g
z$X9W>0D*Ys2gHy;R*b?K9~)rL3V-aPUt|>P!Ma+cgs&$fwii6xtX#+nr@MI4HQ(yO
z@!PfP-WO>w{@LS%p<GtLzRK_{_2|I6_0lR>-a?g2E?B<xVg+-K@@1htZLlesE8?D6
zLXCS%DX+L$K~rc-YLuc4c~3n2>HMeA^nL*v{Yn<7lDVxK{NEw?81O30kgFf%eP<iU
zeu@S9tD-KkRB1uGNa?Tn<vg_7;OI~p0}Jq^P`D=OwIEsa7Twm<PULNc!LC{}GqATD
z%yM(m1R<`LD%0HGh!OZ4{P2Vs{E~mUtygORSq=Y=Yj+x%4C-v{DrJU?pdvsL(|}4{
z23NkL3y9Wyfc&rheVp)~X3rATVWi;J%j||_#H`w&$cvi=;@Rjkr8d-nGdG*1d1nnV
zAuqkOzs3TF50vU0E~tT<&tuh!y-h^_e9y3!5G$x|X)P<ysDdb+alLu}4)WYSzs+Kh
z6>`Ui?4$ft;Wg*)Su=AgD4E7xuG{y%Mw%`jv;91<6U^ytSwIbge0gl|N7*5H>S|_E
zqzZIviL-Ys(ZI1{@BV6D4(MKd?R$z-1^7Rl<W4c61NA{AbBPWP5cOlRXnafo=W4FV
zt$cd;P5nl#qlgoT%**c?jQ8_Hn>wQ|9V65paMLQh!v)v0hr2DN$WZflnbT<B6OEEJ
z39*^nz+Ck-aWa(*hyO+;e_J~M1ul${!S8rr;nz1Uf*~0eRAj7zZnJ>sFpE{{Ixjeu
zAu-9DB#3&%UH2Se0~US9!z<SOa9-Us_{P59Q2e{B+gJ_)32)+6-zorK|LdXt5JlSO
zIZt<D7zaG?ZC&E^5`ytPhnqvkNkF}}HDq;-6NW6;VOBx}-jP+RKj26(^t;Ut%i@Cd
zifeNG+oIroX-oO|K@ya=q?p0i{k$GW<PqNxhn$<g<!ttdkmC|fk!9rts>`uEoUD>?
zgMdXaZxSKj*5*r&2On&4edl*nmI6(Mb^lr>5+rT0$35=l2fiEYpSql+VPQ+t#9f92
zC5~sKXwL}38=Z6VKG`zBXot7RI6(rt(nJ*j8ezca_iqPG$->;kinMg<{yo?ze*OJk
z1T+#heWLZ{!Ac=vVd4)7?x?b~ci$ER{G741d4U4tk<_P~Y{)PadZwmdM*@Ve64b8H
z;eguWO2M-qWMH`8x~{1s32qX1`{F&6K(6!Oo?#dTsOX-S#TrS0d2NR0(+|pUa#Qv9
zo`wq8XDs0#TT8=<@)yTy=?LInmb%l=sR~ebb9~xU2HHHzvrdtTP$?k(NNT@dm@~c1
z842Cb3t}Pe=R`;l!Tj!qv8XzTHku@O-jsvO!^8GN`yP8?r|Wj=Q4P>xV$ICDD-YYc
zZ|8-2NKh9xMBKis3F4^HyUk<;I2tMS&taDY*TO&J*5<U}_}}-q;7f`?*m+>;y+3Y!
zx`M^+ls0JJ*Iupw9Mlz!`-^mtfVDhTA?vda%%8P=qCblRIotX5pMfNJ<;3=}f}{t-
zF7lbo0ZO13_WCNZg$SXH%l-Yg5V+rR%c0<_5;W+)58bmOz=1OdM0b4vylwP9l`Sa2
zSV0L*M65ET4^K*}?e23@?`o^*gc5w%6uoo%JPs@h2&*mO`ta$Y$Fg>@5+qbFuKX2K
z0ABn9Rqs)KFyg5;k)tSqBFo0hv8S@Y+<A1looE0o0r7g#N&6nH%H-9fAPpI=2GN49
z29QX7w>GF+5teGh9g0gO;Hzo#!2MtYs6Mr*oAprvG9|TqE2Bgpc=E4(%OwL?kKLlW
z{ZJnMll-Q*vBnSF?b;_e9Sz{2scG6>KRIylyC=8tjT?OZq}JW>25{xPHM^vYEa<FS
zaxd_6K$Bp+GWS1yIP?7a`M7pzh-WGYFE2j;%3&S9FBa+p%Q-3Iv=Av+y)))_M~V*G
zWttzAAJYd)UY&J-lqBTpejcW$-9vE8bH5Ac0e%>%%hnf*gU<t|#6Mwc$m}XtLH#X&
z<yUEp3F4x_v*XnLI$;6P7?hId#Q|(vr9a?*BLqv6!CmbeQ;60dlCpOK0yQ+T*Y95t
zfN$}yR1VpUB7zZ*D&D-;1I#UaFxQd~<dP(4NH>R&%$1(-@kL$mv00F_vEu>Lfg?{d
z=KGK(YsCz0WnE|%ru0=Ma)E>_efx$^5Awz}ME>469nkch?`WUkfDD@JOa&9&h>i;@
zDded(<X2an`qak`_K6Nh3W9nOcImmZs*8u<0Q;vHRWd6~s0-eRPUuIX_td+mbq_(W
zgN1KM?*S0bQ;ApnI)vQ9RKDcj(gKXquyDPe5rXXQ+E#>)AnDdeg-pjZ!L`YQmUfvQ
z{(79~;PM+o(j17L&3c-Ey{_i;bEAWj5c<RZMSqZq8Z4Y8R|8(#PrWf>qlMXyC-eP0
zGsq>+OYM`?8qh=<s3QHPhTATfD*dZDBxoju<FJo9IGXnsvFuSnaMLcuKxY9dofS`}
z?Nfs_o|2;*dQ`y2eMDQ3yo6-wk0dZ3Q3G1OWWC>3dx+m*cIR%56{L>0{k`D_Rd_hD
zu$LILi}<|c*!DQFhA4y*A7-no!n)-|o8{;ZVigtf{7vKrg1?oM&rqoXXK39Cw)b|B
zFSK@5S3hqdy4y@@!D=cnIUPe29k+vEWog;+a=XYYJ6VazcNC~QDEvM6)efRfoOSqN
zMFm{&toW1>1>7QUMP~}{B0qlI`D<514VJ(EO@HYigJ<)l>eZTE1p7dr&dp2<9dtz=
zMs8#n_tmnoy}O6l_p!u(xlRXu!qhR}*GW*&lB<$(oC+fAzhmb`8Q_kR@wo^4T+N(L
z>wUFI1qA2A8^jJq(Ar!4TTI&LifUb{-wSF`ua2_5_~-!GoW2lgQcMKmpV<PJL>l<+
z0+-rySb*ESD<gWD0N=Ll0z#r`A%iRJGS5dgh#-2k1s)}Uvt4=WLOLBd=e^~VrQiQw
z2Sj2k%J6V0nbGY?3q71jk-cMM$O*xCSNAz#Jjf1eNPsjWI2G8aw(j>OHqquv+B9Wo
z^7?c8XATpHoGyId$H4<%{Okf(g_Pl=K0nntJ!W7%A?4Rx#0!DUTPJqQltAPv>!CA@
z`}yf#S_-`bKiv2eoRMs$1lDgpjfQTqfm|6l4N(Lk?t|QKdqyST5U=ZQW9NXZK|AWZ
zWMPmZM!oU)hJz26R*Bx4oUl0j?W?ApDAYSG6f-~HFVvKb+x+2N@Xu2A*}cc&@XqVb
zTiQY#e3#nf@Eza=&1+<vZB9wx32XNYuEasVu5<Y4DPHKftHYGwAqBQ0r0Z1UIB>mn
zwet5OAAC!nn*P?d?|VAWNR^sOkSpePFzvYje9St{C30+^lf5rXr7M-dhMkz(ogf4!
zCYCv7e#(LMyT0C&PRfwQa3z2~P6Pt`bq3!>E5I<z?Thc#@nCP6!!=zX21TleN}9+x
zxYm87h{couRDo6#8W$v>rT-BB_bDZCZ+Rugb)N{dTIvZ}*^;0tj6XB@5Dza$>T6Wf
zNwCT({#>tD3J~wMigs%vxE-CcXN)C7V<4dw725Y&XZ7=SAtX5M8?7^&K>=@8F&Pt2
zS=bhcKW(l-2Js_z8^$|TK)3Z|pmn7jBy|yW+lI)XQM`GfR8<WwuBm-B+LMP>QwI4a
zHwrK%i|DJ?09!z$zo^5~HM@R$Py|zU^<rC$0#k;fPu<RH!lvv`!Os_PFuQF(RxwS1
z&Rupwk@O+(<==H4j#YxX1ine;0Sb7|oqg22q76vpsgRf;WeABk(>-;Q0&7#vIQ3Rt
z$o-n9epMR}EsCZqI_qS(IJvW=k&OU^w9gQm@sJ?Fwcaa9hN8P;|E-h)bj>e6B#IHB
z1xYC*v68@Ndt0jbqCRLpuP<645I_&(NGZOG2R`jW++j(B{quU7TW{h)=CovOK{5_T
z!)H?DUl@Ro*S+o4eSbaWcIkbIt32HInVR(yHiV0@^prDo%J5kDV_~VF3|NfmozrkN
zgp6>ts;>=7&{F^WvtzdeY}qsWO-CC-guz|K_xEt1J2ZVw#!(o84;`MZjWmSV?ncGS
zYKma(gzLW)!VBq6M@~n%7=pG3{hZn>c^HT;uC$ZlfS90Pqa#v=;AAj4o+2OztyFfl
z7Y7)?S<qyMqtjrY+iDk^F6`$V5vd<`w|0=f3Rt0XfB^($4hT8aNrC6OZcPr$JTkvz
zWIs!10I^r5j;0DoLVh&Prj6K*Tt+ioJ@4p)Zd!BL;G!7NDW#7s>9?ZV8{Q!+g8Fba
zb5w?=M;IDJJ3nidj-k&}exA`N0B{JGVB7sA0GVq?M~}tKp@(HuEkqOnK3%PisSxCY
zAgRLJu2qXDEqA!{o(Hn;F{a1s<G4Y`tCso2#xlx9xbZU~a^J71uEej(a>5^>IDa|g
zRkVUj+GHe87c5@!7tyb<LE-x!YO9^A=(lZm$D~FbNK)DQubqw=5<x$-q-_-qJ6(6L
zY*ia>T{3CB9LxaOvc>}TXI4=*t6!OTyf!@G&lG7gp#?5{;Q_11E2ulRQ1Qj*5D*%j
zkAJv81?gs*gYU6rRLjEQBCcEuKFa@D_U+h0EHpi0FMeD?GkqlcmNztkElZ-d^3)n)
z7o%)fU$Kb3vZ5z_HPZxhvjT@y_a)@@jL3>g$pYFf@pk%Xfd+gar@rRs`G+V=zAI38
zJdZYH2P-M>r~_~1VKv?ADP(Ihu5}~mA1d67P6@fF!z=sGkNKU)5NkgxHTIUjs29u#
z_SCDvobR1D1M6Q%?$7GmoF`||_!TQ-F@hTS`O%sPaQ7i^*PT{{1ZPm*W!*t6TNS=F
zF0%4I`i4w4kCz1UPov`+EB46;RblqN`0~erI>eXtNur?D6gvJRHq`#Q3RuwjF4@SI
zArf|dKNP=CqWX9GF6>dMfa-O|e}bO(&?8;{QZ>RS(WCvXD$bD<ICZ9i@>0DDm7-y3
zPw|;V<qX~}SyNLW`w(r~Y)3tMU|UWs=<Xys5FDP~c%2LtI^V9SIyR%Rk8%u*S0~Zi
zpUNC_50YWBb}X%v(1ET-Wj5xgPN64)uiwG4NRS-+-DE4G8+|Swr5o)%jf(tecM(t`
z0Z#;-X4jKG^s9^FuuaGeTB3&NN{11l-T%tmyZRp}pG^cCYyB)L&P>WsDJFo<v0K*j
zJwxbDM`4|U*&J%P@^lgD!^1!BrbnYe!>Ge-@||(Uc~nyU!)rx$JltkZx_^P?H~QqN
zaDWTT0{Se*`Du@tGQ2T=Qh_TQMMHT(Qjffd{!V8!R8CfcPN#vWQ1@{(nKLY}Fl-6U
z3y|J_FdSI@r=|H)<q!JD&-W?!-(@swXd>aZ6b_=Zj=3sGPN7fECJ-VMR#AG(8=Nth
z6#;e2Y%{0KplX4+=4L0>Q9A}Uv-ws9_{5j8Ugh@}y?2#`Vq?CE`X2VJ>{n6%+G{4;
zM|%IES1VsM?1gTl9Y-o(n%<U&HaE$tj6(}(KzX^M?)Waci+ew9y)Fk5e$V)69xtMt
z7R3je8mX{!2lF*PFFE*FV6HZ&zKohE!4-a>!4~h`4Ei`A3)hybW(hMZ=)nD_CzgKF
zV%sP46XH(F!Yvw+@~JOt=oPY{j{IYKY+&JFPj#OR<h+g9$nV}jUj+H_4d*dpl03s?
z^t23ci=Lj+<K9NUs14kE)pP*+{*#%N=btp#Y-P2JC+?!e2}JA>o)xoCm3edWx-`_L
zO_|-wqr&bLkj)g^*s(Ulh(>ccX*e1F!Ng3227A!LlEK~2fhAO(sTuz!1=h-~q?(Vk
zSf33Ge(M4kR?z#L&LUO{m_x5;7ADeT{K!RWWg-uj($n1XZ{Hj1(!_GOV;Ql0SIsA?
zLVVbZ4=(p&xuqb#-U&HZegF$qv65;~6~L5|qsOHdC1Iy)ZuA%@D+ca2stT?NVG1>C
z>XxIDz!x6ZRbIx9**nh~TxAr+SoMxj9h{Z~&y!31jtv}`P~wTfkp^+>Oq1i6odZ(9
z$YuKCq#YM_#6<tds;eZ{%ylc@%|r^Q7yec)ALPN1Q`zhBRMOatS>T#^i4<goDn4la
z$BPxEMmqMPGMLh_wLcGt(vWyOUe|1sAM^CRRQxSZ4wJ@>9TfW`4cEJ;+{4I1n4W!+
zjB%a<w!Eqmdap+Y5~LL8N7F?xJ9)U4QG>&BO#QV>Xyt(Kg-x=Gk~k)B#ZpF|SH?VI
z{Fs|U<w0aGeqwD^0?WZ3q_C<Ju_mR&%ylD0nA4s$jq{hn!sf(CNwp+wtJoH2=%)nQ
zOj`jeo6^|ymc+fjF)~K&`K4cYzmFR3(kVSom&N`E0096043}v*lx-M>$G$W6ecxvo
zGsbRs@3CYlvXqFT!Y4^eDP&&?B}=3zg|tXXg@}2Ph-A-FAyoEVc0NC!``7&(&+%O6
zbv}wy(ZFtLqQ`Un%JHE@==t>CdevANy*nsoO4%Z#;@@wbo6*#SYs=INC#O|V`c}bh
z=RPfz#i8O$n1U8q$IjQ`GI3~5s9j`jls4Kae#NTyfDXJ5t}}`ysiB2KW8&N6+Ne&x
zHEy^-50>Z(2R^)3M>&z;PxQOmsK6UbtM@X7fLD<AdCIDRdZsxyPLye*Cr5>vLth!e
zneLd~Vtyj}Az|U?PZn)-nlW9nQxaeyhBqxcf{2FHS+p|Gk<oa`(jRyyD#-T?8K>70
zQPyDVqLlzmG=|RXQeB`4v~G(@T<s>JOU!SKmG2SJTYQD*9DGfIVJNlK{2dWhZm)cJ
ze@hLW`d!1?p<xDYwuNWyP7%>3YM2u(ek!ODKES!4+6*G-$6aM>HPG7!ij@ni<k6bW
zud&X&=CE6zw$pf$fclM%#Bv!)p_VI@pyz7luz%Ec1uE1~dI!&2C$9;jm(nf=&kC4B
z(A1%~<Lx+f-q$;$QJ(|-=^N8Z-)RQoSA+V!s#Vb4fYybRMH@7Um4He9vt|Gtwnk3L
zN+`5d9X?yrL=$9ey>n^K6mpFC==2>G&<RK5zke;}5lvHm4DEy|c<Ov47m3QD%T>3O
zR!eu0#Ui2mlok_UXsoeb>X$}kNWVWNH!(r+VrIr0k_j9ZviiPWB#u6~cq1ZRgB{9+
zb#y)NQei>U`m$@8FuH%0x#QPCE-<O_K(&~tkY0Yk;RBrjiko4GiSpqAJ#OQ!xgY>B
zgF-RxbS%nUKhPBFf`!^%G=O^u0TFCgb3h+EDud7X+FODJi^Z>>^9GIKo1o)FuqYGy
zAJavj`Zg@gJr5KKnKpu>g{k3MpLc0;QFLUMCM+mk320hmF@i(nP$xC7e>9)IjI&}-
zu@KHz9Is5Iz|k_J&Z3Da+U=l_uH;ZG{P#D_U&PZ8{6^K(MsD@f#z^k<QTws*H7|Fg
zA<qCxG=57llx88`R|{=erLiDIX>z4b>4P@&v8jvQ{m75o)il{v9yoHs(BU0LAIQf_
zswUh2BEie&Hv^h^AVl=k&go1&5DC`RO6izKbeSVdm1=mvbDbrwVO1Btw6wSAn5`hy
z{_f<iZ#+Q$c;Sb&hc0yQdwzt+aUIzdKvO0-u+VCl{qjzm4qyu#V&ZwWk^0*C5A9Se
zWEY&DK4Go{>0@WZ$ILKL{LyWaGZ_m`+WRhEs?`RAXV3jT$LT;iv*D4`0u~&eH8Pf(
zYQy}!(mKUp23U!BKV|O63(xRf_t?H@L9wn_V)!;A=<pPpoZRJw<})AnMI6<F&9t0+
z(@<t0gdg-G6!F1Yf?lZ792p4O>6_iFEHD|KbekB!4~GtLbjT%=fu|?qm+BQZh|hxj
zRa*g=uwvDJiYG(jbKjvK7!G)|Eg>aoDG1;4`O-GKG(oDTJzXc06ApZOSz_iU1e$mJ
z?*_)~%@aE1bt&BNe2TkG<c2U5KYXYfVxS2uBie)a|M5Ug{rF9@J`qq-@Tk1GP6Gas
zdq*yhVIlIjXOJ&d44hrRV@+#GaHnx3!r(hEaLZ1!iZqFXzfUl`MH&fO&x$q6{^Enw
zM7G3tev+_xZP3%>ED1cG<pyW1@`EZjbKZFkX;932;d<VY1Zl=}6Mv-zfj+KQN#ME+
zd=YK^bH$tl^Vc&&NUlO4x}<0)cTE=RTrwTf%}CHhOj-4ME)4c_$AfKe%fT<!7d`9t
zBsk5@#B0DU3ccW-U+_{MPRBUC!ki<)2`;{B;cH^Rdh-%XWw!$SoOLwfzfS@kt|UWF
zK?&d*PT@#rRD$bsIJe@TB<Qv8eOX#A37mXc>DLUE;cC{}0sFli*1RX<C+;r|^z`$*
z%0ViiF-x)y&e4RxaW;x`whY`Z83~apQH4^k2=Q1+GW_nb=De}DH${Z3B0q)$(&V+0
z>@qSG)Mtiqgvi19r??M)IMg8URT_P!j~3h|O$k&6$U|lK2ToBLb=Y`jvfW132BSEg
znRy=t5R6mr3lky0E4oKZ3?e#kuZ%J5vb!SumOH5?F-?GTkB~`80bLM1I>!)Wrvwda
z$8&C^Y5=={T?(&~9xQX_2+?$vLE6hr`}D2`bQU@rms{&Y>iAaf39Jh2U-ibF6Cwh2
zi9fY0%m89uf0I7YqXJM9$&6<sg4hSWhPd~J@buhtpFxx=*bnGyke+M6qhHURVpl0}
zB*KH9jt2)N*=$!r76{<BsE*er8UyB2A!}PO4y=+5{X@sq!8o$_VU{ZbV?Poa!m4rL
z>hexgG+hn)Hbg(S>j6|%->C2Xh6CSzmP4a!IH-(7T#vm2@IPpIzpow#BKGvMO$w^O
z{n;Q%Nrnm=Y$MeJF*vv(t5A7PK^byF8rZUfs6bKG^(Yp`fr4_bmo1ATl;^p)ahFqJ
z$H6A_*53YO?IQ(AKjpxM824Z6Fcpq<4tDS~sDQTRwa+7EGC)F!G_hqWu+;Mn_xw=?
zlQ;K!O-v=B*-^GoV37)(PCaTzr<LHOV6#%KqbQ7btg|KlpaQY@EjIJJBJ5t@$IDkL
z2-oO%TN>U`0ULis=}n~q1SR9h`_J&fXA5NYNF){5<#oerZ^^^I@rc_KTs&~sWhiRY
zm<rndYafC=<Upr%(aeO09Rz%zZY?hXXw@w7a%;*$Bq?7!sh0@^zuvt*_6We>_v6p(
zY%)Oc4VpcEj2=Ypyu{aA1MqV{RZiLiw?183`47cigfwXyUNDS6r*rF%(jsy2?MSga
z+qQum(&{Q<QbFLd_m;d%o+xl%dNDGZzKSSM{mNZAYYbV|js~0Wg(1Ccp(5bm3Zm!M
zb;{ta5p)mt3`{Ny!iDE!=#!x(1mj_suChgeJB(hlL5BpO(xZJaS78ZRRdF0C-$#MW
z{;^Mj{d@Pne3bDK-4YV&axE_NwjpS4e{oBW=7rmZ8u*Z7OGvDVh>O7=1BeX^?3J>^
zf<&s9O{Uy3g7w>fY|hXCcD8e$8%J@&(wDcmG2<1a<)m2TXofzlMfeZFV@{y-#eRF3
z{|}KljE-w8>p|6U$18R=4){>#vsW9|kOPT`*szlx%%n&iCqH9@yNBg{wZt}%#*fxE
ztJS*jqul7rzGzms_E4krg2Wc0SAEdqqN*;89X=;ClEMOX%Fk)`7CVSOtIL~1cXdGW
zPVVIA4rVZ_VKopsfPrW(CH+h;9ay_&AGJwkhL`Qy>g(}z@TRAET`yi6w0>X(-VZWC
z*0VgT%iZ)Ksywd)4BGIrBRVJTF%#T<P@=hCn-M})2}j<<YQbXoOzN52OrYoEe)H9H
zCTQM*cMsUL;GuP;Y4|fHpi;8UZFE@RrqzazKn5AM&*U6AHp&Er-KO<w1FW#JTOg*c
zKn6GZTLVkL4AFGacb;Xj1IDs-hP6Ty%qwh-Vr!Y9A)rRe=OQP3O0K%uZl?+RV=hG$
zda^)x@aO9X0=Pl-j)G^|>|PE>kCvO`SfQ-qjnjJzESR2jpj%5N!G{hX!TWq{P){17
zPxs}8*Byc%h73sHZ0q2zCB+VvBTd)+^7x>!{8#d)2_o#%7M}cW!vRe?W-quF_`%TI
zP)8`22=Zax!%y-!Aw(?T=00aZFpwNf+wV#Q2Jfdulak!PKcCzFw_gahD`XC?OA+D7
zv;vV(%LAWQ?XFZ@7J-}B8{#s0G~lt?a+P2s7A)nIs(i>|VBXs#$Q_{p+_Q^{9`(GS
zFoQ5faZ3RIuur%OMFYl6J-E+*;{&|bZT$o6Qt*4J+jfOp14b4P)a;`ZfU!PrkwJbL
zkhgRSY+EOQK>m@(eP)8t*7CVDpDYVs>&wX}b_sB_GSP}XPY5c$`<-z2l!NS^VfQC;
z8nDwD$($`J0$*gWI^BFM4{Ki>Z!CCgz_;RG9DFZCK{>w5Mf#rtJiLwj{j*I2=Ayaz
z3SGouM*7^A%ONE=7WTsR36ThAPdqp*BPR($xF^NM)yfcdzOA(A77>=1-5*vmO2eXX
z#nugiDs&{6V0l<b5ELt5vK1i%W*sZ1O!9Ehko5uW%_4z%=Y8Xv>#|U!Tj%+iPYslD
z$iv}%nn3Olq|V%v1A6R4V96DAP)ie^F5x2sXYzSl?YHv45a%t%(L#W4epi*Px5+TU
zuvT-cLjimu6$8We_@cr*Iy%j)4JpUJQ^<3QAT4kCOgoMUY`uT5y#yT~j~<&yVpRtH
z#j335b3}O2Fgb(?)P<m-ANh!g3hcAOTD;REL5kUB{^2$~(3rY(!$d?Ct}Cju;*OFa
z&o7ip0RvDqBwFv%;h<B?=IR|=670X9b3~@v5V}-PNM?M+LA(pguP$B^M3y=ytr!_W
z;1f{<e;E(s>>k;PkBBfVhVN*vFb0iw=KRAecp!R(RQPUc0KVsEbqFtj!`%7fF{WzJ
za(I@~ZBGC_lO56e3V>Q>mz!sfsR5du$JlMB1}p=%KB_iU_<d_J;S8ujZIwhzGt1sy
zI^NVn%~Y`a{x|OP6dtY@Hug*>C<FfE^(uOG6L8mx@$c}!gQd~_vASsmc+An?VzuW@
z-zPa08u#AmXXc^gv-{*=%9#IKQH}}lxFvbKD%;~16wdS?kp}%<PbJppCcyfiOx3?U
z6_9z>c<ivd7>xL&#{GBS1f1RHbLr11gO*ncVGI?7tHU{+CBY^TXmn@$y_^z=+2?BX
zr1HXx?{PYgCMIxI9Lo4UDFF8}_dUHD4tOmm@^^8A3MKu5N-sU+;V#2!DUTZyEQHZJ
z$UUJ#&`iB?(z-0@72NfjT-imGVjE4>t*MZidAzwjQwAhtSt*&4tH}3w-^;6i06q<z
z)jb|61(Ldv`ciE3$VZmg_UQ<KQY#z#7h~ce_QXQXR^T_1TB%vMD+DllCZk~W+#X+>
z)Mex<`;kPBzqKd!`h$*T!rkw(!chIprSY`X7sTy_M~`8mF|>GK+YWCF03}q4T_XEE
za><$BMec(U6ewIX$1w5(_wT=Am##cS)UA}RDlSssWY?v8HafgeL8@1s*&l*z?O(nz
zr$zxImyP;(Wga+@ZQE4jd=m*Dl}s4&GlT|vl9-1MC*;g1IoZ!WMdI6)r=>~_AlR+5
z?Og^NILj7ru|-uPE_3O9rCa*&cL|YprLw@E!0(*{CZ7=Z=V>Ad2lT<2lJvA#iwPcI
z5IKN9(T-R*bLB=o(%a*CPT5yq2GG`0bn{mKhJ3>wFu1g-3(-kTavg(oz_rZ&!ouSR
z@&t2G(%`5rkc0!2ekNg{^$hYt>)bD7Jh}X9VYLnnp3jrJGq8i~R@Z*H+dPJ_HtkzX
zSJZ*m+*JF(?JY!9^C$m1$~a=x#A@|3RU0BK?d1qpHj$Q0o1&GvDI`FfnQ)R`8yu$o
zR2(ziK(xNIemr<=4!JnmSI2Z&3s`pJ<6WHB5sS}f!hgpvAYsrt|8mb?UR4SFFn+y;
zyoxNZ<?~xY(x1>fTl($!%S^K1g5?_0om>9<qsI!uK1nk|r!^sDKJB59_!^=TFz1Bx
zSw+5*PR6mG*MznGt7H5MYly+}vB~AQb>wrtSC!D7kNg(+IL3Hl4PiE0H?XeRL<r^?
zx?`~<@To8`Dr;Lqk~_Ycz8Bm<z6|mo^%o#Pg9AU;1OIh|wO~!-o+Snr-@E@QdqRX)
z+$-`ulnq3FDf|*kHXW49UXJ)^OayhK5A|4sO~f#R@9z#H0|@zerS5y90sPBJ3irLY
zkPsaO<(mnNU}<*Hy=9&NS`Gqz&h^_!gT1cd5}p~RKD=$R)*-+KaZT{G{VqcF+;8}7
zjs-X{hdJ3|)uH_9?8UYO3{b?^Wl!|6!G{BeV#f#6U@DfJ(HTbvf^Qm~*(N!FX0<Y3
zp|1w#4C$`@_kbR%gX<E%s&Ip8;K1GdJUnPx3@0DyVSu3Q9iij{Scu2SeQy-RLz^(G
z@GCVYs2Q5Q-kQq`${!6XmeX-?Ea27BheBph9~{1(iRFiz2ZQ<*q;L?k^;MR4A1jzC
zP5gJ^kpQ>||6GiFrwYEf$JrrV>|lIBjdkmg5X@7$jG|msp)lIAmI1>FtTC=vdelY0
ztsw^6z^e+8>&dUCWw;?yJ9;FGAO@QQdC3O{RA7GXwM&OS7GD2xzfkWY0fcELr;u_L
z;3gPP^oQ}n+pgN=tk+VYIygGQ{9?~T*yz%Z5Ap$4rmJ#$&#S71_7U(^DquKXqN93D
z02F@Tik4d4>%VUd%I}Y>z)df{%-KyrU{Rw!KI<zFJQF|O<?5+I0YNWF?}IShai{5K
zttdd`gPXYwdwy16WNB%YD++~*Q<tyZQ398;?;h%haFCel%)a(m93-co&MVlez_Mm%
zJu4m$@fGJGrd<+NZ=3%S5W<0{liHaD12u3G59U|rk%0k!YPHWK9=2MhE8-K?A@nw8
zc4nU}DAxV4wE3tGGo}(^UNRbR+kB~zIav-I>?cJ(+}k_5r>`83B0~7}<C+R1@}O#C
z7cKdk2#<OVnLM*e@aieY{bfWEPCqGJa*HQHG{$+GepnM6JO>_P@|D0dDuUKwrU~Ep
zyD_B)wct%V=k!e`6`)AhyptH!gcN~ST@n-8uxuQalj@-gv&(hasz=CRx+bcT|5O*`
z2Ci0B72)8S=3;wOCK>M46!rbRrVsC3Jf9W(!~=V{6k}`_8RCS{z{D^^@cGAnPkver
zOm`g4=N%%$gQq(Ms$oVT#^f;6{zV;}GrN_jpEM!kYo}e)WdsT?h`fAti2wt(o{Wd4
zN$~h|+6jl30Qz1{5{p0g`VlVf=+R~(cuPgZ8r`HqI$77Wc836%(7*Jm9RxVNs-||`
z&IE3-JG#$w5ul13rK0r&55s4<H@p^1K>y(4(bH}OIQ}=&`H_waRJGFSv!5}AH!F;u
zq4(4w(2H2to~Hn_w{P(aSDC_T_09)bd!Fg18eMI|BMUk*Q{@%EOrfJ3)m=D<hq58V
z7lnG_P--1J@4GjDwk@?m>sJL~#Y8dp&jRpU#PV)PjVUb36&((ysKCWH-WOcvxWNAM
znP!i0Q)s@Od2cmF30xOx#II$0|FUT+TtwLvKKhr`RaYs%v{-AS+4>5y)Ape;p~eI@
z+sEIYn3aQ*Nm2@5{`^D|+81ZVtWCfxvg?APqAbjBDOIK|w9}jzGBf<XQi0))RPWU`
zDVSVpD~ju#q?t#Y-J~3(g8!X#iG(ZS@DhEtE#SFKTRwd(^>iCRqeWSLgsli{ohwsM
z3SOrjFL)KmXb&LhDp;3sL=dn`(PEW5TeSC)=gP;QBQTM5{9V)?KIo5NZqI^UTKI>D
zi5gYLKsh`5VuS|^r6T)R#Z55i74GcmFI`5^a}}wyiQ<6LdADD`qA_Ux4RWC53I!xy
zsay8iu|Tzp*EQ{{81(07*9&6O6o_qCrxYeI0OgO5=NVHBx=>5|9&T?4yt5ZAvK28v
z&tp@))U``{oqWk_B*_4R9;Xku8g3wi8lLUHHg{;fS9G(!wCY1x$`oI2_cAj3YWw4q
zzz(hRsc}TDkUkiVKD={*Wgam};rV!pxJ@hVH%hhg)`Q5T#-QBmf03uBlD_u2Zqe9J
zH{t(P>B2s`p+>{`A*4OzWP;M8O&X8<)Z0_Sx-jzleMweiCo*AjMxmQ!lg2==plxtP
z2i$^G|H-LWA`91S1#B`lXb-uf8Po^0!T)0864%WVT4dN+-*Yw_w5rR>^Xrz{u#sr+
zclc5ZP0sC+@UrFx&HbE>j!%UaM9pTtUHtDG&3u1KN`u7)Ei-P`(?U%Pq$E#zk2?&~
zTANs?7B@F&1?81T{R_xIW6KYVZ6BfC{goh;!njH6d~D-YDMN-UxBw$fgFiHZ<HEZ4
zUT)H=`i>@XKhlJ-*5ovypb6ULmh0&08(XyAzk!U7ikdL{t)Vz3ZJK7=r$JWB-KO;g
zz~IGV5}fK7IQlYYjy5BhuxLNNL(7$|YxUA6ff1wX))~76+8sjw^$slzilMRNB|Z~D
zia(Bl(z8fYNNdo2%14J{0;odiZbbNMdH=ZP$z>Yx@Xt*Q4?Sw@9*~srR|9l?Pf3Pt
zt<W-8C!EjY8BpiVh0Rn+4e;_);FWo{N?UDePwqL*hz2h*`H@`-aIluQlKJd9O>S32
z^zauZl(n<$Tkb=3u&kjR5VYB(oldxw;eD6|B^ctJxMtPh!Sb;NJ=<*>(~D@{E*3U4
z$(_FV<6d9?+VGD(=+Z7tx+AWj;txAo_bc{@!X7v6(Lv1CC<axUNRz*@!ihe1aMCMa
z!-F$d6*XCr9?glC&lJ_;L0KE@R{KM6keunl0MQKSD@Di4)P5|QaH<s_{!bM|6>Iw$
zwi!|XZ|e95T70PB;JLFG!c<}5%v;)W7Bf1X+<Pm!gdZg}ZFx6gRly9gA9i+OMVo{#
z@cSPWM4d#Z8Jl0LK=O*@`#dT;YP0Ihyvi?({{FYrMSoHSTvFM20uFPc4$Nort1+VJ
zE4|h%Yk3uLaI|KQ&*Dapg&NabM8r{Qp0#ktsxoNa_xj*@4T}nQn<rC`Nuq;86GONW
zW%zl}Sxa<~7tPsU{oqN5G#bs7*mC^0GF<%Jo9gDkj|N`+?{A@@EGoe_6Tif$0vSfR
z#gcynP?jgf#~(kDLo=%W;<wCHAmHMu6nwT2S{F==9a2+3DQchG<esbS<$GPJM4$-D
zPFFfq)vSmLck(?f(pLq3D1J>iCx)sE<*ZjnD5C}nl&+w4RdC`JQ;<xNKs9|hO-!s*
z(d6VS7iZ>hpk#I7)NGFwYA5rpSwkL=#<VZljmoP5eT`!6K&}j$Y`)-=$D)old0TBC
z%Tb4g)pT0HZ&}oXBjRz|ECJQBB9&4+G(Za5k{WCvkIFd+`qX(7(W_n;vwu_)!O{2I
zjl^sPl<7^(`@;PsRQ}y5fx&qas2RLCG|8xh&gYGt-<8xvr<<k{qa4YQrj>Ws`@AyB
z5_Hw}Mz<!ad&t7z)`%7~(xsXD52&Eg88y{xUSw4HF+Sl%whr{VkY+gbaHykF=AG9c
z$!ODi>+bGgJ@7pok<Ju_M~fcGF>H^M(c-`p9dj2ApkOKZonVm~`Z__tD8Gq}KL3=H
zR1if06S=`9?;>@S>qr%*){Tr322UPJNHqpG%Q_B?%LLSP>)Zleo+c{2B;Gh?1u*|5
zMEDY;2AZAUyqIy9gkC+;H6m|Fg|wov{&8y!G$m?Cq}+;#dgV&lrSqFWo2n+h#7qNS
z`7ALi9jcDX1@ftyw3q<j0slwra|HBjNATsJtT=Q&w=jj<%@jh?T+3ft6Hqx<U+H%q
zN@#iNGY6A8Q^=n6@%ZYhj`}EarrvxihnoF8#q?v#6wnvi9jK}r>i6Jv=_sodO1t4*
zc7@9fK3;Vlaj(Il_tgqax|M{{?wGKn<Ey67m(e1srKpMuRC9^E8^EIFVzTTBwWe@#
z`q%U=UuD!yXwLM+b!OCZW*_cmfGKdb^1QCNr-&X<9~d0}vQE4DCX~&V!xVPZe+`jq
z<<aTh&k-|rqqMi>N&D*Vm_TA3_nO(bELtLx|Il&11;KDp&dG_JfWJ50e-A`tP_;MC
zAJ4W-Atj-*8<lsd@W9_<BeGNi4ZjiYXF9ZkeC%BRZ&Zj10y~RGHjay;VEKlXt$q`+
zWTja0WB}9}W!2%0h0xABUHPdKy9hzrOK?^Y;4@PCqw^3yYE68*yU&ph>PGKR%4#E!
zQb#)A_!x_p9sFlLDMt_PJFXTo7RF%Yth#39!HMqgi}<k`OApljU*9;NG=ibpI^mFU
z7POFoXK^Hh9xNoCIC|nKkeU;^+&9R8`akKZ4LwT_lFl*94sQ*i@Zo72Pa_Q4+Nbfv
zQJNl<brV!PCk-I$PpHPu`Z|p(=slNV6&<t?E;_`i7(j(zTT>l=nHFWsrPF9b2U$7e
z0qXwxaGtJVv3_@kcK)qRQTH$g{`+NqqqkBI{0Ap(guaZ?{2odxVy<GqtF+C5m0J&X
zQoUk+==IZ%xFvP+?eRSP!O<bR|8znB+|ijhiw2rgr5>>k-9<2jnf!yFbYN|vHOZVO
zA1SN&%A$927g=M)6H9P9aB->t`)$wXD+BnO)yTU@+t`=GxZB#m-^?jtnbn8HX*efs
z>+B+w!FGnIJwK(lNsJQ{`h}G3Z#0z-*hL2FMfjpFX~9NoIW9BwH*z4W>y-cSE|SKI
zk;TlAL0nR@uQg=?iE(jdt1!dBsbbAX-+join9KRk-e(56za?E_T805D7Y^>VaZRX?
ztfJmcm`4cD^z~EB=|Dv-?Kqs>>$#@4FWk0UL>dSmD^D-cfv8Y@@#7T|END3ooWL$4
zBgUq_C`u1+XNjWH(R(?w^eg*w+X~{el}Y#ZB?J5q009606q$E8)$bq1?M?QU!!eI@
zoOA5`d0R<oN*R@G8I`D%N=6G=4T%sHDakj5$mdBm6_QPvp|bb<`ThCa*Y&)w=X(CQ
z@7I03r<&_qUkK8nk3sJf>HZ=no|8SBTFwHtbDV+J*)+g!npekrE@Nkvy1RvDSm9WI
zlM4sXporM!RBOG8*<P{;UfjhFX75Rc(<M}><c`z|v{=VDcPF_8G;qKQZ;Ro{HFby#
zE-sclx{2-L3(Q$Q#|6JeSQ$Q9sl!;3X9b~w0j9g}ksS8$K*-a%@x!SU5PTR}r@zJs
z`yQ24<R0RKQwrtlnJZ)<h=`phSujIyKeJn&6+bLTIWHKvk%82jZP)&c1*)ppEfTK@
zz^0ZbxxGydEVgO087r_s<LdcGZ0&-ulpYE8ht+`Z&6l{K3U;_~Wi*kpM;NkOlHPt9
zAi>L99oFw7I6?WFzoo^n2>8W4Ie+B}2@+Iv|2q0|gJq5EQqmJKsJY;O^{+Asf{HtB
zx-RoVq{y6eaHIsdpD=b99aM#uH>Zg;rQ4wA(!=)(@lp^Ka{W!hTUC%Iu3sG#5r91h
z9vJ>tEd!pihGAaGs-TrU|H{l;5X9#)^yh^MU|4?Q`N4;(5NUdDcT<}XNEm;66n9Jx
zM30;E75smW@3BW#ZX%Gur=WZBqdYvj5OLpmQWYKtic}eI6N8d|-ZwY36yV2?6xL7s
zNO0nV*Bob$IC#G7E*|@&2r7-vf~b=OpU0;|pVv!5*$u0^Gj7Vj-SY5cU7{L%5gDOI
zbxVWt4U?oEF;)0?A$zmr8X3F`zq|?NlZB;g(`^x3_s`eae=B=Ifnr(x5rqN*@bq%#
zOJ$M4#fHsSP?!o!PAx;W<8ol#@;7<NPaOg}ek%02(qL)5bKfA12ud}Fubva#I&0bT
zF}u=1dnvt|J6r)gCWd?c|ImP&cJ^t|Z4FR4n{{`yQxP;KzVvS9(ZQj@&_=OK6Ly=0
zg*9j@L#N|fc!`|`&?sh?V{ElScemhc^V=$57SZ+TaHj@HCV8%^&+0&90NVufcU9Q7
z^UgnAswM<?8%3%Y>cPsS(Nr{t8psPqyYcPS1j|DOMf0%+z%&ze^(ui3AM-nHKTtHm
zO}cJH;-V4oOZwPx2vFc7lTC<Ktp-$GTUNQ_VFE=D_>g}S1?D4`#78AHprN%!GFcwr
zRvk~xdpmVtEBO8VlM)@|DJQVM%%*Uy_h{_NWOcBhCfB|nphDGZe`3{FQ?Sm+e{A?b
z9Ue~K)a2)+z)bFecPy99Kt(L{UAnb8IQCGuE_AB`S?yY&2%9-bm|u1iFQmY={fsF^
z7nOizfp^!1lje~6XOas#$zYzAxaSHh5pKln>|%Ik4o-qr)e*QF9C9AndDui2{%IP9
zx0aZL2!4_~^)w0WlJv)QtHoh&&_XNEOLHg?exBJes{$<hYQDIA6NKaOLUuY=%%PVs
zlIM6t86N$x5K5fpg3Lii)3@5@5S;NT;qWs>@D^S8k29MQHsWIsDR!Ab!u95sfKehO
zceFf@Oqj)f(4E9)PMbmBo$%_NBzai+cs4uRtqV)c#o+I%DO8GFERzi+fb_sk4`1)E
z_~b1CTVl8=P+taJym(gz#!b)Wf3NwCYkLsbT3Jn@>b3XBDo;tc{%gL@eQ6q}GI5lj
zxeZYFu7>4{ml*U0rIXzq7I4O#|5l3m0PLj};<HkOf$X+`7;TqvdoQ2zd<q5+yKcQ8
zvI+ucF`dmtZ54muTOh+>X#%PE8kV|i8~oQ>k+MKo!-YJ>y$#%r;dlk>o&$?q;Lcng
z{`2G-&b;;^Ix5--f+D6KsPeLdZJy`xY0Wj9DD<Fa?1LdZxSt)Xf0G%Gohw^1ezuC|
zM84?|nK6L#kwu#)of#nQse?gV&kA18Ygds^Gk~ivX9;yOtJvkc!nbl}mvQFms{GyO
z^+7(|&bdu`0VBUk-EduB!Y}=~6ckdS2PUrL=K6Wl*bkp3%iWwyxDjcQ^M|k=Jm|E-
zGq3%@O02f2u@D#W)N{kM1wUQTQGNfrGj0fL&iA@xY`cI**h+4{QLh7fHGlF}I(x8F
z3_YfMGUjnH$(%uLiVie;htx5xH)Cr@6fNKK&Ex*GoucTTHuTLY-n9A;VQ1JztZzM;
z!#Re=IYt?@fuWpX<xS5id_~!JU$^5NZoF326&#=i<~~2a`y(9h)q4DU!*EMay>iuJ
zL=#qG>u}ZTFSw3oa9^$E9ImCB&@At)2_vf^rDyei;1i$s8dnF;;jg-Lnx?unpxAmB
zEc12aC&H(rJbujKoKsgP;*M&7q5jl`L#Ds*9S3rk#E;J7?OwlQhkwzb&7RpmvTXpD
zms?*B;9bC@Itb6Yyy@WNu$fVEa2U_y%fF{PzJL?<+zfP@qk)--#r^{H8^@k3-wK{x
z#Qk31@;MSg117!h`s1W={PyK6t4E||oZ~W=;wKRr44owT@+berQHR`hkAxLm<pY^X
z<_Hxck_WN7B9l1T1c?Zc*6@MA<(z=q>LAzk@(HPR3O_eln6`Uy9ru_cU%pg9fl1F6
zuFvEd+`ZN>%3^I3ANMOK88A^mCmNGWc{q!U85>$VZf8VoX}1>2c9KE8u=?%?sd;?G
zTa7#LI1{S76-<zPu$6;D5)C>Z7VzJHBlG$YGtv{<mV0iT1UJ>|pF!{v{$ZiP{=`mJ
zWXf89k!c4BYD*ek&>dHBxBcRD{v|f#Gax$4@<J6%*}vpJbYH`R)6F@ZzjGk%m2#0b
zAyshyC&j!YbptnQxsfE%$A!KJV@AJksDS$S_yDyC1|;-)qS;597rkF6-m7L(0cI`_
z0-===sXu6*?Md8*tRHSWt#C^jBt4Uj{+ctRO8!L?GEo4f+8&DS6jO%LdjjqGKUmPg
z3Na#onjkW>u(&hvpAuBGZis)5VMC<*=kkY)gpnSaj(zH=1e_-;<%|6|kh=|M+5;w0
zG+*)XKq$Wwn3_g!bGpcdM)Ru~Ni$+7efmbl{x(JUjXeDF-}9h1ePy&<K1q~9I=Fqu
zYem>guh1V?*@pIg{`FbVNgA;Yy^URXqzImS0-tJ*^CPLw<z#BtcJxY3hbJ&y5%P)%
z293uB(Np@1JiQtMnx7G8KY}a5#H@$+`8gqU5dT%xX(W%n|MzOKV?z;SM+>SB=ZPSd
zN$?N;N<=*q$GkgTmB4bIr`t1H3^`MEB&I_Y(dyJ4tBENkI2@ibb0}T{-9E^gX=b5}
zp3D$-d*v&G!-ohN$B$B|`s@c`3q@6wu{txd<CzMaZxyX(5!#MMY4!s)Qff#^rm#h|
zOBEVzCbdI$63}s>S-xfh1^L99UKZKnqI}SqsCy)b!jeQ5<|$NkG-uUTL5>0i!%ud$
zZpb6gnPzL@R2q^v(yGE{PK9=lQ5J@?3P^AufN$U-9St6R-K5x01Np~ONmr&65nKO~
z+hn8$dgG;1TzWtQY+{P}Mb9atk&ir6<inb%_rbf$KeL*^r@i|h^Rfz3z0*^t#;Api
z{a%+#R%?Uy{BQ04KoSaiTyQ$|q81YTexnHgtP5P&k?lp@YUoI;gZ%clT1Zx;=XBGM
zJ{a#8N;XuaAkNh<dz>@1kYrrsF<%)Yz`rPk?66Qrb6H6@E}Lkf3Xjmav12AsZBZ>0
zMy8^ywGjWna7|=m`j3dL0VvULJa)EFk<aagA+J*!i1N`m=;I+%*wMQCMw<u?wfV1T
zoZ_G(%yH;tq@@`Ii6=A`iPO-DjmF(-CF;l|rmO#zpgD*wSsOI}q@n?iGiT(NNJt<o
zlDoCg9FATKC=k@8qKV@_90`j`sBxHX=&Ni2Z_JoBZW^kiJH|4bG6V96|05w+`lJQ0
zZs)czoF^lNL~4RYwG1jQ)T=EHv4BmL%45{iYRFjB@1>2AD9YW%;q%VT0>sX$WV^jr
zMNyHW%gUvEXoH2+;kq?{OiFZTMTasH{J9c#DTN8?_~$RNel-W_uB*ASLyG9sz3u14
zE==JU_mEC9JDbD$^@a$qVIpEEH&z_X&%rLgDZ8lOZw8HaO_pq<a_BF^!2}Kaf0$16
z@!0#0W^kU`NR<C0i_D4zNW9U@n2TlX&4F)Qoa4K}vP(@G**Jz)rt~ua-v;@9rG+W{
z8WN@srii1m`loEleav7_OgsI(6u>J@>HH@P5p*@?!auDERv6>5Ypv7)IC`LJBb_9O
za(k`HcbKxngmCRmJ%0?6JT2c^r1PQpf~5FHMvg6htoALqU;_3_X)Le2IFU_9g2(kk
z98lsGcTMk(F`U}nf*pRzg06(=KD}hm0Tha`*~2^|AkDchm%B3{VtvYIM`aG+3yrZm
z*kK4C%vmmbN-X2EtcRM|+SuXYi^-oAJci&$G>ZDBJ%jfZK&sX`c9`$etk&CQ0Qs3$
z`YI(x@zNNT+k%4Zz_UqkWR2Gc&wScFK6)3<-=X`r|2-S<Hm?+2@706gm7gjsk{@v8
zPZ1Zxec2!-M7~H_Ll2^u_>LY?uEuIgo;>=i%?86Z{=a?i=mMqqcem0&7bYn@m;OkS
z4gR~D^=^1V2gsK9_OaX@!g4btyZWWsV8N?3%;2yNoOm|Msm1pPn|R_!Gsf89#90$f
z!e?z5<nn5c4xPd#Dg_s#BG^EZKzQz?y`_iwg|ovf_KPE|0{g=T44IcG_$w`#N!vS6
z+B%QD8t86|yTA@=F7vxoRkdJ6VqIxu=MrX^>i#@ll>>-Xn)wmAno#_)uwwZ63RZPa
zHPe=f6MhL#M^(@?!SiQk@4=-t?8bi`r&pP{pfAB&bEs4U7FFGiMR#ms#!RQZ8_C>2
z)5(&U-mL-t{(>#g$N*hc%Od(=JRn+UEVQ<j<B@7tXWy<ef@{T1gFlRX;9PrRRz8Fd
zjsK8<q&72Tomefed$SFKYytw~B<V0Jb*6DMgatY@eEZgG_#y1IpkFXfgIx;~JuTl^
z!Dl@A&|H%M1ow!XAo|eYmLU(<AB-Iiu@99#niGV$?Kw^(k~BDY@?%TFXATg&*h+TR
z5{8)+w?l`XQX%Z$<b4iTE;tt4U|O9Z0vp#P>pBTkkQ?lqj@ixwWq-@=x$%jCvg^Uu
zw_mA)oy=Pnr!`*S`y*iU?WH*M&~IL-*{KfvxmNOd8{0se;~ncm-z}b{a0P2EQXpfa
z)9|RU0E8NywW95l2J3rl2Z~B4pv)D#(qbYAzv}J>wjJ3H3on<$BN8c)94l{ceoY8?
zzs>R*niJqfwA(vEBn3iT=e^{*gh4l0rUd!Rfeg)9ARvJPdGz#2v_}*|&s?uL@lqb>
z5BGn5_mKjjy5C+{_J~29RxUkul?cywygU)lqYm2TFPCC(NPvrjGg3aL2$D@<!JA>~
z5bgcZZTlW6sBurJ+4ofm%q2&*ACjknBqiN$i7Ep}2U^~n*r>on&!e|8GgL@58>qRe
zE(@Ntrvn08{cLR3(vBsB1`OLWS2D8*aNXpccJeVbsB{-~KP*89DVEl;=~6jx78{_e
z43pu;a@=!b8y#F7%Gr<i$pZ`P)21^n>YyVzCPjU#0j~GG>pVCVz%Fk|FQ9fSxBBhh
zJ}c0KagL|NG95+W8852BZqnfAS-aOA&00{s5b{miLkYq%9Cm;Z9r~@RRwe~?pys=t
zJc?BY_j;~jQWzb4G73u`oz;a)-Y<`M=BYrrkGE%a9UYSP(~4^T>cN@*p@TjjRN+JO
z?+uj^I;`kbGY5tkz>yGtsdKMMAp2Vc_BGMLY<r^cLs26*Bh}>FAEpMUKJCn`jGzM-
zSCH?KLSqPy>2Q&ykioQT@uT$y4gT_ShC5ngTRxM@M1Dbr#R0b8$AAWY`rj8z-2oB|
zRzn1*$PoT|qf$0S9k>@?=j;$R1wYxUMelVou;?3_uGy2})7kl;(mYcbQx5%D{FMxm
z>=Q5M8&zQ?v|BukYzFCl9{VfY$RJ_GIsPB7GVpf2IO=%E3`P`RgeI1&K`GasohzCO
z;9Q_e$ogsqCLX+d-3Lh^C87B{*<KF#9FuP!n=%9c5&4I<9jahE`ru-(f(+yf$9Zg<
zGlL=ShO2*`sz6(O^ogu7F;LydGZ5Tk26m$rl#Bz)u>VhXK2=5t(zrBdHS^3MgxjaV
z;<qB0F^m}0Jm-Z~Guo{^K4uUnf8Q_Wlmh6*Hym@Nu)z$aB>cCS8Td&R)Mre}L-g0E
zP>E-o*!EY#iT_GWVZCf4qBTGcqWv--)JV=_r@k<U^xK-kWbz}Cp#@neDEy}pP8q{q
z6^>ph9|af-D=D@nZoT_xcNi_L9V2kESx;R8=y-p-ZR(69Fi3?hoPCyy?G5{DZ_fi@
za((vZ*I_Z3eKSy-(p-(VcUv%*7-6uTznXjex(E!OI&KajKXB8$TdH$zCgAbXZ9dgj
z2zt&OIB8JWjaS!SKUElK3~~!Z$&P&jus)KOd9$exztkdPUXP66K&)o;w>du8(Gld7
zckU<Nt#E+#`Jy2lPk&1Adddy?U-mO!p!eZMG4ZQ`T88lG+ZT_?Tn@PYnvuWnQa9dp
z=Gs|}3kHy0p#S6_GaJ<QCSR?3+m5gM)`VB!`mkiBz_c@$88W1dTou&5<8<kPU30wp
zka@YbG3p^B#Be1rzBOsY-~8&n66c}^%kQfSvBXV`&8s?X_Sz@>;8}lZhYz|ia9n0~
z)^E$_$IjV~-+h6XG%O2>iR;4aGmdY3-!Ef1XAB;z-^jvZA5GXLUeW<0f{m8D`y%$M
zak8g?im)G?JLZ%6wIQY}emD5fV_)-LrW>AVz_!;!gfH7@gM{*|!1mf%ER6W)-8Gx<
z7~^z5_nk5=n8f5x4EoJrYA)Jy&aEBT$umXWWSSN{$jx6eJ2Z_snlznwdaw@@kK&Uq
z%GQJu8#9x#3sab2TEolmk$y}{8VlqlYC^Ext^rEcBz9xvSyaihA*@s2^mE}%4TwF~
zbgZ~!0vm~8(QNkpjU9rM)`bchpn7k=X9{ToBcO}d98JbC7tP$zwp=>MyNv8Ap7@6~
zmcCZMLi~q$L>z4L(xL-?&`#BWVFJr4>^m^cKZQa0McyNyXy9O&r5o-zf$jP%@$pc`
zG?u8>zW4qC8nmS_N{g&aV9J!k8gI;Ju^STmHr48>;K`=nd%I^6D?4xWn0a#!yLw?_
z^YNlOe6VNoGQKv28Sor_5Y@JTS<MW;4Ny~u#btJ<GL30WkW6^~>FW}v?6oYO=CPF{
ziNbUSwi#@@sLEmgzblx84`UbMIT;qp-rAR}%wW2cvlW?I>)6Hok{z3W)j+B-DUn@p
z4vQ;D@M(Uvi9MOsziDNl273Kh&Ij+A$5?y0*E}hVu-~gpSTL3Z&+J}P*z*^#ofWmi
zr!tu!IrVKs#HcEW`&!$|=r3UrnWsbg^;kf@t~>9mwJOwN(Zly9mN5hMezN-<E5r#*
z?$P~E1;#5E)k<4dF|Hz};*kz^V6mE)6OmT|$-UzKhsM@1<8R_ma>hA9FuCScd$KaP
zq-~SiFU0_X6#E`ybslJKF?!1-sSHj=BE)=WM!0*@UpX;{4_vuj?mJ~EL3^c<`^ics
zNG;CRIG4{4mP}3A={iclN<4er!-fUMbp@jW)C7Te#=Nk*b*sn8&+9a;u!4Hq*+be5
zLg09;v(6?|5ejKHx~0FfLr#I8O!pQK+@80LJgch+%2wzVOD88(CH&M$3KxTGMLK^Z
zHx-~V;ZjZnKM&OZbY05HkbplK6YHlt6u@I{{cy__K5%M$FJ?I@1vi>MjIdQJz<sW@
z<h(?Fh^9NNoe$U!noA2gQ}qh4E)ppAgH;f`oze_f?-5{Fv#PscTmcMzpI6O&Bm}oE
zue)F1m52T@>C84&ML3)CFWJXd1ZauvrJb2XXb+K!*o;vGmk66os)iW&PUqaF+9^VA
z-1x?fgc4+kZ6ErgCjqNLOlq%)%COsry+FQQ2^@QV9ewF71y!qLi(@>hkTmio_)~*2
z9N<PFw<}~|I{BeM6So?Ke7+U-dQ%15%bxWRhy(~&HROCDO@Zd~xq4P1B(U`g@7BL4
z2RT=jX6U+9SY(n;6tyA)^~}U0!2x;Lzcv^dm_q|8tB#4ozUt6z6-8BZQUC#kKT901
z=}<WORX6Pd4eHJl1#5pPg8B=S6O~ySuq)Bef#EM5NU82uO8u1qn{97D5~>Ne`ezL~
z?rOq<Ik`t~RRxT!Yjvizv|v8zp5u_eHq5U@@_)QW0_Ue*1@DTqp!Z&)_`o?`V8c^$
z#OKt&I9_t^-4!ihuytb{%hCr^POFzMtSP{l^W4^VS_^oNQ(iFrHH7&CkK~$y)FH;h
zxjHgY3-+1@AEua?Kz`$9*%NOn+@u?4OLb^Mc!##?C3ApdyYMa_9vakq>Q1crqydhQ
zo9AF}3c;__x=tF?AnoGOy&iU3{&GLTr}Us1)Em7%?P5*?!+e^Ap9vL&#osJFRxt+>
zv+WlhX&MaHy5|VHs==ykot$WkIb6+Tpf|-)p_9*Hlh0HcBx+SDv|SePj-idJouCe9
zf=XSpIf<a`2z%Y*EWp2Y53$370znZ>ljoXbAm*xV=glk&Am#}A%f45GcXerMzga~g
z!9Q@>GTH)oF&{$0j4D(vN1aUS<^}Qtk$@e0Ea1My-t2r16{v7n@;K$h2nl()Dmv5V
z&|B!^098P$zck9G1c^&GQg3}2$5>C6b@yL2hsWvp+;3Ni5F8mvcC~57AI10fM68<u
zNpmA?W>OA7#AaJ$^bD@McP{Z@pc&Za7uwSLWno7IqsWi+bv&iUy~AeM6r{Dk;jEm}
zK>qCO6ST^NdP0{ib&r_Bo5W|5Vs7H_VN~;i>?SMfPt52pX#l7!{#Wd>C=8~tXX~Q*
zIS{j~;G<Xz07>2*r(V<xz&<Z-4R;q#gokE1`CP{!-tOEYb2%@JmBn3cmEl5~Y4kR$
zJ0{>$pFWW9%>m&J-y~;zxlnJ*kHNtVW4PpcUF2s1Gwil{AXmMm=l=LOJdGQ{^K(~9
z4tQ-~J5IlHE!O2ipfv5<J7x%@tj+uTV-~Q5s-D~AVNSFdG1WLBV+g6lI9XP<NsOH~
zvrNCviDH=B*W8>8;KMM%SpL)i7BbWOOGA+prHy5{UVEYs;RL~L0r`zs7RroG`o@8x
zgPWuuOzMHKw&xWF-6DKo7wNNo3<ok`RxRSP)Pu`=gBXtVwc~d_cBzNDaG*Sb(l7fb
zx=_lav38Gt2v-T->mP5+flBT_w&Z8gg_aNjj%vR@xS!~a)^QIGM0lR()9R-KCh2*@
z*#gt}l!DS<ffNpe;=|aSy0zhtwfnmUl{vhFP!alXjsq<wRapD%(}vt(@pV7WMf}oA
z3S~Wr6LC9^TC~?{!DY1BOF+vwqpP-RxHK11iQ`F#w9*2%VWTe*_G>s-Kzd=uUoOO#
zRb=DRpb6*ZYdrS$Zs0@i0;!iqxRE0}N09d+O~^Hga?p9jfbP|X)tYnjqJZqL_cI1G
zfWYB-BzlYyU6l~6J8+Z_4YoTCNuAe#E2Wmfb0lU|W@F2s+`SFSete(4#HRrse0N>0
z2C<+$MzB;?$&ZX=_}g9nzo*K+e|fWx6|GJE3QjE)KnCJ{q45XkAQ1TdqCAxyb-G7t
zTb2u=<%4*C<0=h;Zx-a8&gMW4tqUbX144-T<;%loUeSPwIh@^2hYP)R`E7+0MNshR
z^5ehVXi)X9#hLt*8wn-dT~iGgMFBCdSPSK8z~7+Pj6LH;Z=X?}!Z*dx>h~;Ce+w0o
z&TyfI=xxX{BD+Zbu>=agwNw0A02OM(I`}v1`H^k)^R9zOrI2%#UaS+53in3pjV}%g
zAe}2egtbg$&?}k0Hz&u`;r(dHN-Mt*N^FR3%QlxqJSp3<?$@ZpG3RGap@)RgBGZS#
zr1u0QM@{T&E?0-m_c}eb`66g2VoAxZR}OVDM=@V+QHR+fw}lR(7<wC9Z`v+GL}MIh
zK7L}Q!eP<);l~ByDEhmAhm5lVdQi$Fpm>xDgR?a(#SW6_&HTRB$|6P7mLYrjTqhO2
z2!-!HAuWx%%IyA2l~G1|GPEzhw))UYr(nGGvJ4_=<#0sZQ9;knGB~Gi{pXi-pU}&b
zvPgmDO{)_#2`OIbYY@<&!&i16`=kv5vUhDHXIxZ6ynGJl^}o}hG&F0mew#d6w0%Jf
z9V4T-;K}cu2^w$@tcH)O648yu-6t}4sUyw7(>r#Z)`a)-$u3zt6_AkAtADh+RCMUo
z`Cel`EjTE(IH~EQi2h@Lmp1Q2LyX02&%$qM1OK*|8*R6hP)Ec)J-s#>`j&3!SXQ9}
zQ#CY}h)iX~(m2}MO{b%yx94T$#PvWtqL$|WS_SFsZ*X(*rlXVCflsE9`asLYj}fy~
z(appkF_nRIWLMG<HO62FPaM9zt+-A?^;1vU*!Iy;irZ4X{0$@c9{>OV|Njivhdb4O
z6bEp7XYajT_g>fD<9n_ZWsfLHA(T~GT1bjYArd7d6tWvi`F=#oNXQ;3vXY;fJ%0TI
z=XuUK&vVZEB}JW6Ff}8gEB6-`>Xy}z(63|H0@+N!Jg{=Oy_bZzMo((JJEn%#2F}h)
zU&TOI*G$<O$jHA|TH=zEDq<Tq_?r+0aLrDjJMA<X1@3xiQyQj%1T&7cH}F!yFXY!D
z?JzRRxPzBPP)X=)Eq|K(BPzVTv(j)}my9q~2fBea0xHkgPW9q6g=s-yt~>Q4bXxB|
z_fKs_L}}FSH}o+DC;l!|25}Pl+D?}*A1jCK8QD?I15+^M%yE-2C8C<NNR8osX%rEs
zB%t!r6k;zYRDUv3MhkUo&bM!hqcPFY6p<IE(0%>`tr8yrwMg1}-6#=40}U+I(*Nqz
zO+WAw`=W?iyUT4o4f#;mvDeh(<EBuBIT1gHDIgu<!XkGJC(5i-2$oPbg|#_{SOpGw
z)JMLVc`KC}v4l^P&-GD(Q<gZ9mo1BK6PWJkm(!y6bg#$cBdL&1kgQ(RkwK$_obPS!
zui@$We{^glsNnE5lqa!33LRnMaa<~x$6a=lH8WlTn6oNVOSi-k5pUtE9T>-pHy`}9
zum!mPD|b8Zq$uJ#A@Yq>*N;mF9eYUEfPwMuM%PI;VYEa&|BGR{5znPz->tD=0-@uQ
z<D@SF$R&h3jv@Cs9uuCFxgu=>XRrMgfBcpYP0GC3D-iS;8>`OePIoqjm!`j8t9A0A
zB>jcno}Nm~K2e)?@}?0?o_N$&CBltLV!s}H9rO~Dta4E}^vMwVpyYf!|1MN{u@p~U
zD8UkFS2=W84ME8cJxjD=LuInBd_G0p#&-4@S4TJ)fVcNc`%BHtNR2(H?kZ0K9{okQ
zjQB_&AoWn|n>0qW>7nhRz=CjEPJ3ptSv}xgP&(*UM2`*{*nhOAZN_h{)*e-|)PwYy
zieT?;S|s|*ebgZ68@>@C79f|S3sW<(Iw+n78FxuIhvxU;qS=?!N9c4RCYunX|707#
z{$jWt<M@HcoVuN<7oY?4)Ygc~#7+E6<-psn{iC>C+Og}~?b_h=@m;B1-#Q-n)9T)z
z*W)-z&+PygXhVW*psU20H9RGsfn8hSH=fn(a(GXL7EITFcbh-BiYJ=w-<Op$gHOji
zue?jpf;&yY$ou9B9-CDC=6w1bJ`+-+{53}t630e$+E<qG`M>trCcz8%EB95(Z)r`K
zRElgllD&+xaTY5cwO_(zHQyAr=V-tO){A=Uk;{0Xl<!?bvt>MPck<j>f(E!MterAQ
zUd9u?u<XRxtl}MqavNI9)!}p>=jk&&%lN&U`%VRguH$b@4qt6IQHL;bEUjSA3htvD
z`R!8KCLSKOV{!4T8qn-WQ_oMY;9hq=jA!ug;77~<?rrf=g9)=2V{&g+@whT^&)7B^
z^l`zr<?f0qJSrlLMOLois*N{>s#NIEVCiSsHHs>5EVmi|?O(@r(?rjW=F+3H?`n=u
z2UFnH=LYP&+9tlTJIdWqpAqr!#md}&p#rHYvD8~Hw{Y?K^;e|-n2`78!4iFX6?i9+
zVXG0egQpCNIUo4Mg6uUV_~Z_dLC5ZK@8u#I6nQ_hweT|=da@xT_vQ@=?o?07Tz*H3
zuGh{Vqb_qG+0<H>i?Srxq9+QD{-#3_6VcCNT)5D<M1}?PJtADqw?AH^$ACC~$~@v+
z;zm&yR#+u@iSU)q#QyLzM%4Bwvt;c6FM9nT(Wmf%GH{2V822z@M)Mc%x~Kf)Lr>RP
z)<3B#gUY1oQp^eqx)!Z=|N2b<^eVBSxVeJ>ja$m@GlOi1crw5Fy1Nj%awJmF_8I|h
zQb)^v%yOXA(#<>@I}!AK>7ll|H35#qN(KyRa-mN{d0`PDV(3GPhxIFI0z}L|5VYv#
zM(lrBH1AhSAZ%z)N)#sn4wmh9`9|SIo+^ILKgFccg?sNSp9&CwL}^^QkjIArT)*rO
zlR;#~J$-fh1ZeA+KFn<-fT|v>Dwh6~MG3O&?Q0PP`1#Ui#d1jy8STzW=szZpQqqHT
z8GaKWV0Xp0)UU!Q^X^|!SvEyf<&_qw8>I~FDPtR=UqzAQ{qtMjkrJX`5a++Vn+W#}
zjPv~##nJYW+-G{Xlu<Ihe5I)+3DWHkUv@B(LSYgDhTXm-6xV0o>Uxz7p^B54`#YtP
z6pq1--6}|Ld1ou1kpkZmJ63qaWD%ciO6dww6+NtzzW?W&DttO~_nrL-Idr3aEkP+-
z4GoS8{pDO&gUMIuok+VpI%p@qi^WGBX*_w&dPG|T91JcLx#%k*LNRfYPE7;RH43h>
zJko@B{iAGIPn3||+Mnp!VGZ=y^XSP7YT6Jjo`4&$DkHaHdzT%5O=M$rh<^Ex4qW!#
zfL-21^dkMc9bb(mO7Ww!Xa1rGlA-ESD3^rjgKl}e>Cr@-3uST&pAF#kMCV<$Ph`}2
zg!6#Fb4}D{A`*GG!w7EKp3_mTQ9*X+!bW<vG|?@wkGHahOu%{J+_~sT3cC0>R?;U_
z1MS)?>!}t5aF`>-Fql>q?V}Y^%=J`9u07+*q3%@BPz`lvG*U%r=N|dpWKu)0Oyk&2
zG=<G0CWq#gRgnWrQF6vK8CBe=OL{$E3NLyyd)Gfxkjyv#G>NmysP2^T3BRLeAjA>6
z&r_6w$RUx9m2C>BF*(!WUcDJ)^eH*NmsLT$Ps12%rDf5BEWc;ZR?Q%$@b*l@6bV(o
z$s#=Cl|UiajXvC=H;2sf_^z1qM8sCnyT{W(5PdD!!)-HV1|h!mYPW_6DDG^=T!|7l
z+Vbx+aw#=~uj%Yjg0f1;nd3t7=|D!5u!|V`&BF}pFMoVu=&XQhFH)uKWmfT1HL(Pi
zzovl9F4r4hl0$9cguEBDKXFQE$}bdU3gU*hNBE!0pmDwR?PR<SJHz$enU%p5B;^i<
z+f+%RbNSyIHhlhIPcP7n&|am2%~spEqq#Vu5MI29=>CiKIG_E|PeTQNt~e==O=0vf
zrkS*QdIR(KdKEtr2|z4W|8Q|a06oaLar&I^4)$@&Gq{Epz}JjJN{EdQm8aKn9^asW
z)V@0Mdrl0325q|c_;DlZHl(k-rG?Hr+mg>@O`yd1<lR@R>?rSxGn)<%9at1Iag|}l
zVA$%Zt@STANU>VsRU&k7f;>~*ebfl_s0JZ1+4Ly&8;SPjG%dtW=0507F@*Zlu{ZDV
z&>(T!=;g$8T42s^2&1+bz?><U{NegFT&lUakyDcvlF3Oc_t*^}#?gx6D6oVpWb2b;
z>uDe$zT3#oNgwvGGv2Ib{|`SNXxU@Aj|S4_D;p=X^x#O_70X8UF<eP3tvvPT4)&j-
zc+<?HF3h%YZyXTp$33!kJwC0mgGtp^rOeyv!u_lG;7IW&+@qm#IOyp%HkB?PcCT0m
zveWiDxO2v1Z^Q$a?pkhR=N(g>V|jI;bs~96DgHCou(s!-9sf3VrDkq1>XJ4XE(P2>
z7vGKfN=096=G(?T{LXo0IjsdLR{JYFMuxG_n2gVEySK3bE&mJohqS;np?KO){}<LS
z(!pL<wvAbKY($;y)`UmyWs1cblh|w9q)8LU9W2W{AtJ>|6NHx|tQ2Rbv1n~4LxKPe
zc%9Jd|J9)ZC#L^Cy&O4<eV?sl%FLtz_fs>nPHq|?^O-t){ro((uF}1$&Vm+lx(na5
z46B1eZ$mvJc@cZz-Cuv1oepGn)JpdRsY7Xak8$7762?n<u{b(M2jPQhou4+<;DK8P
zlis~$Oef5&%4~%m4y-=ivPe>cUzVLx%<ijL#Jw9sL}^Co>@hy`MOh6J=W1>LBduf6
zJ9@oA!Ax+x4(%C;SA}Z@iG_iJo0u%GPnOb8X3%D6oxa#gf%|R;DdXbX*w_Lw;?reT
zXu+~t-V0Me@U8bvFIgIpQ`i2%YRL{a-7DLd169C2f0Vx5nifvnpWNIw+66Cyg?8Qh
zOoopW#jDD(bdc#KDbMD|1(SdM3uRTwaAhJ|K6{8B!ppbhPK<Da7M(-#o@^4-&Rwym
zb6|v7%^Kkk6kd3(P%<(kP6Aqo5k}9SOz_yer%CDoAGoCT8ujN9;dJH(-S-q0U@)fa
zG%E@~-t#J%lSV{X_i|tB3TA_g``7rSdIVvwT$B~}h%&^djG9%2a==_xJKM!#VJKl+
zWeZGGhA?OU3873*X!m&EW$;`STn%%&VvZ=oponXNLj*S@sVClf*d-3NInw9eVai~k
zziANri3gs-<k};W6l`)9(e!F7L!w}WWIUM<x{-n2Y>zZd^-LCX?^XsakEj4jDL-&f
z2d<T=%fjE5bITIvl)>`9l}#x}L9qK;IHB}J4th?8gqt)eL)=)@vtd4A*iTyC+euP@
zbnkuNj4X)o#a^H~V^suJr$nv<H7No<Fwqn|Lxi=8s&QT#aZn6sc=zNI0TQGR$>x40
zfvTm7hbK`I_LXbskC_nR$KzLz1%}9Q|G9+DVMA#cR1%(H;UI%TMc{jqIt7BFNP{m<
z%0T{ay8^}`6)0IteWKs23dOQ4^U1GdLG0lu=d)+3a5RptJg!#_wyUS@?=Z{5wZ+=0
z=jCcZ5#Wk?v#1W<v|7@-M-<>Crce|UsSb-IR=hw@6G~#!y=ZVnD4RVxne*?D(!`&A
z6ZupN!tC}gN{bQTZ-zq5w<Zm+`9PpcHqim$^K}nzg(w5Q{ZVkQwkGIF9>21%rVD4=
zopg4}h)~6~#BLU-2{K=o?YBGhA*kwiqFx^f{3-QGEk2s?cG*6af(&6S@hXkYzrM96
zz16-5X+o)mpPt-HWAJw;9U)YzfMbu*2bQZEz^Lk}#s36@2OL2Z6GsZDexJ4H%u@#s
z+sm{)?*NAHO->k<QsDDrzvQkfYH+cL%uPt4f-`^6L|X#|9BWeCYs@Hcd^nE#qrE9S
zTXaO0DHO;U=hQtfM*=UZ_BFdHQ@HDNDsfGa0tw$fpJe%<1m4B(*bf~v1Diz3k#I*9
z=)3*2uaqhe?2Mu-6ZvMaLe{N2U`+<2u9c?9dTAJ&Eljs*G=pz}Vsgz)B+z$YWVqcS
z3JDi9zKS%MLCz!DmA+(U;HVcSoxaNtYC(lp?>sgGx<7wnUu-Brw!q$-H~M!0UA0E-
z=3z6)O{AI*SStb@&FK^51$ub*FujhzW(LHlPYWS8<iWYfPcdPA8I#f|t$m+k3Y}d#
zrn&X9ke9Kr6gv15i&@ZNnou=`+b3^N`!L8r+(#k$vmSN$Z-tgiJg=y*=xI(?$(96X
zyl%Hw{y*=yCbqQeQK9^Jwhq}t4D^ngmHsENfO}e>y*K_ApjwYIb=FiEe&N5azhzj#
z52Rfbvo!&@tXOYOb5H;@)`Dx9|GDFd;dL!M4ujXj3VE(Yys%c(Ff*RHi8C8Xv(7v;
zfz9ZFW3(FFu+zp?*w?*<-?lag;eKrl6Kqa1{ln~_>N|2~*kK!=(wnB<=r;o0@6q`Y
zpO}H^K+CrSCfj(@YS4Q(CL@^6rFr8b$N=vO_S!~$-oh(vsxM;(hOqjw=vPn!4KT3#
zbMy0T;Q<E)eSe-YfQWj+{prUW*ctg3b~c)u__5K3_AgcXAb6mcQQvbJJ6*$2`p$d<
zcXQh{m`JA&WVp0iS~`!#-0`W^-?xr$@77v=<D>_u5}a@GPh<3%MI(i$*Kq!oxP3pK
z>4Hk`VpZC^QA~NJZ|7sdDsC8bS~QPA7Y>Z^6``~J*iYW@-pb7tT&1vluJWi3?A|S*
zwb}axvvK}n^(brw7qO}u_|UBV&rRQ7>E={mzOBVta$GAoVPD*-Bpq$=)7Q1L-Bp2$
zNiC|?buQz1^KE}7^0a_ie&a~W)keJ0XrDgm<1)VcaSd;(h!%wC_!}(hcj76%8Sf*0
zF5{i@g7#rany|y0o}IuofYV5dY9tW<?NLyq&3%_9_}>$c$}azbpFSih%l3E$@1Cvr
zM!c;7*Zo6s{R>9%+ETZKOp8_gg<iO5E4Kz*inTiW_R=`MrK+GMCbEXN32Q}@)6~JJ
z<5Gp7-V~nso5&t3zK$m_hBRo(sY4GJtu6h;G>-d)+iE**;Hy3xzFq(B(>XV~)4D1D
z;g*hbzq_h7@v7_FxlHD2pmW8d^GEI+9xHxo-&NObeD{_1h%1$<;Oy3%n#!_(=hsol
z6Z|yjj}NaC-8cmvG`(f{c774}7a1_{6{kg?J05N)OHm-6lcsCe))IcPQ}8*H86CP7
zK+v){tOAu<cBm|M8Bd*`Lt{7T(QhH&c(rF_pf}L*P};kSFNNtD`Ykh{UDx6~B34K+
zRd{H5Msgi*$r@8NiDN=*dT~>Jb|g6JC_a=WxQV+pS;mH&vHWx1gq(IU5$<`3bus8}
z<428B8Nx|y=$&ltfHgl6VxMyTxnoL$#zX~E*339iwD!+DsTgHQGdDjce3cgQn%YJP
zBypmca{u%8TLj?ef3ZC^Oowu)*u|_{+{on=hhl0J0rJZwq&GYmP*YR=lk6EDboKs)
zkNy9gXf|C$dwTs}&fX)}E`E{^6~!!D=oBcyZ$&%$vKnS&qq8N|AS{4(|GG)pbWnor
zzMg)Q=d8%ktUCGFgdi&F#a`DlE5UqSO8jU8JE~Xr)fyQVMvUzt7U5qNL3zIHY9cQu
zO1QKg%fu*#E>&<^A1qV^*MR-MORc%ltjy=~JNqS&p3SVA%tJ*G+LfkTm(PP@yYI-%
z4@;qJmMQgxTt!ge+q*womJg9eN}r3^${>?=3C^p{ig4R^#KZ&VM}Oo;*1GCtQK*}!
zf;68JaOMW+{*DktyU&^g?st<%EnkB>-$W_Fl1x-5yN@tRH$MuJ42r13yW`Ka2m!3a
zw(rRY|8uM8z-&pQ5-MQ${BrZxzj@9d>gLT9M`7kIg&ujzD8aRVzI9R=Ud6T~uKblm
z0}f{FzwVOI{8CQ?B9ovr$NlQs8)+13A)F)>uY#uYSlCWfk>PY`O6qSmSyacaTN@Uq
zicVaJIqs260gAC!!OuWB6j}7@!I2s@B<3VCNAgw!k)T1J={|XMiT;k$$zpXRq<8@x
zd!`P1j*+^D925~vP({VpI1O}rxD?GxXu_LA@hK|JO6afEn(sMFO_Y$kKArSI3u@>S
z656QBX#db=sQG{<3R63zSCgy*E^DWn^_~+EZ_$_kVhpv=v5>yj)mwTHnG|IoMnguP
zxt?a79$JWFiRgVW#{gzc3crVFs-P2=lIIOIw9rmq!H1wGBVgcSv%IcPK`Svq_aa_v
zqSrMpWalLl*y7|XB{Hj`WKqH1fJqIskFig${W<_SN}}guk}6VYII7ayppHtEw5?pO
zP=PMX+wfVNDmt~qBWHF%4Qbe_eic4!3ddsbt5fe)k!bC?5@s(IBosC>`Cilv821FG
z3Am}E(;08)pO-2l5euagv_)pn7hsom{SgIi`0_BhwkjYV{}BhDUFM*%U(R=bstO`2
z?{`u7C4=mi?;ko!HHT=USN>bpWVGFTO8+}W9ChsHP&#C74r_0&Xr8JgB5S9N=n`%L
zgmkZvXO+!Ca=Ebm0GBfQb2f&!Y_JQJ^gfn1{pVTZNZP$C21=-n!2eKkoED{MMm*KM
zV+N-E8xO7ixivs{GeY?M9Ij*>uJ~Na43-R=)SZ3hP}I%mjSBA{;YBYgX}_PCf^4dG
zXI8ijqIz2qM7k!itUq47uF|GJeM`qWsV;@WI(xN*!<Vs}w~O{-=~S>UQonUJO$^CV
z2iod(ZDU<sY<;slR3OLkH<DC^(beo_H@^m2&<_fF_ck6tw4+yvZi^pvv=si7D5Qt!
zQ%0=H>;SUG4Wpt=yeM<a?}@;72Do=+{En44297VTIR~e4BA?;0u+$rj@WR4!)r4#U
zIa#fP2QpdFGbS$g>{do_{VOSY#?ts-{`YdJ7G*>&dLL|N8W~}<W;5>naU;;_IOZwA
zLW@q0$jn$KGXnpaIDvvRLpX6D&W8tI$Ll((?y;CK!iISlHUFytT<iDP$E~r1d*6%7
zuIyuglKR7=f?Ni`e}D1jk+MH{;p8LsYheuVp(BfUXrDghm`f$CU?aFUi%|<5F9SUJ
zB*s0Js|Ph>ADc9OwBuD`{w)`AdhpMUZqr!Tg|^GgtjvSScw-y(Fg%JLo=^FHY;e^D
zy2np$v^g|m$?XdT;``}gUvOCpyw-uBgK7m|xdt$WLoXJ?ZRjDA^5ytmNgc?^Ihn(o
zK8m$4OoX%_q=&LpRGocO8xHJsF^!j<!aPi)y1H-CLquTn5Ywg>R4BA0QH=k?-trc^
zbobLk;_>U{_F-C}mwAP5DRLgOZyU|{v4;V6>MYK>&1k~ZjLwfg_#!rUI{VqwAOpmX
z92%ex)`ZYBxdD^OznBv*DPSat5zPHpUCrh-!0z+Mg-O~~?Ec<1w=c(;fNQe*J;wzN
zs3$NRn+dFA+D(;1tpUtX^Kw(oi&+Co{0_$n5;rlTL#%?qZ5CJ$<To}=SBJudp0Ub*
zt}c;ZVtd%f3gh`hwhgN45JMl>a?OAS2!h)Y@9o*4?nljG#%48mzbzee<RC5le&AnL
zG0y=V%VXPefoj0^mc1-Do({}?K(w=#6G)W}QBK@y@NNE?-I-Q;XcT;C;C+M}_{H^2
z9-UDIOHQuCbMlN3HhWO@^+g_tCVLh)by1*KcPdCdnF)T7QdFYKd7&*Z+WI$@0$z`A
zwz`Y6z<V|IjxYv(Xlk`I|M^x0rd>566YE&P<w@*i&$9yHPfDb(qpAQ?b{c^zo*lT>
zy>+Bmg+M&9|94Lh8UB2V=N37?3#Ohm?a!zY1~W?jpWFyCe7D%=zkQnvZgl=OE=?1K
z<HaWJi@Ibeh^rv8PjG`ZU3Cp#x;O;cII#{gk|D(5E2oDfFQnbIIB!!c2{HfK);9kp
z0TljsEh&T#f+7kO;D$6DeAx3gaf$>P0YiJRK7L?33+7K7WPpE7TkY__IwE6hzFl5|
za7dX;zC~CL^75EV2B~CN+4P>hOD_x)*T(ZCBjw?7xR96d6EYBwwkHLD6oIIrp|Yc^
z3g9p#QJtis0`oV1eP7HIgF=3u^@M08Sld_|R~lD=niKP5gggmAdreM8h$_RVqnjUn
z2L)CyLcIG2DF|`#+i9#O!ru9lVxh~b;N3TOWMNAhcr0#A#2zMtZ|+Kx-E%d-esWk`
zSCWM<&%u$GmI4AZ9H|8n>hSXO-GCksIVfz;v>HlQg`&sO`;AX)fVE@NU8Xd7Fz)`Z
zsr<SceDLm>wZ5YXml<}}ta}x}^soAWxSBfXb%!@FebIu5C$fing_I!0UL&rkMjd_y
zxW-wi>VWTWnteYU2=GRx>7)};17y`-n(|lZf`_-<MA9W?c;05Q{NHg6=$rR@73iQ3
zlLiGBA(;qH(Z%D#;Tllo>BGE1X9(4IZ6$N!Nsy|((t+D*fISmouRJmWmex2y%D+B`
za}PXK9aD#LKdUvvOC}J1cIQeOqY89eIq9Yvt3%2$K{C4lfT|m6@;;*idwz_#R=BGH
zN$O?x+z^2E_UuepfePF-d;aCkISRB?V&BE?QX#_PI$hQy6%bnVp8POOf-;sS)_jsF
z2=TM-2s^02VC?aoW*TMCY3m-_%rk|CSKJp0YRS-S?<oB1uL8uYs}roYO(A=2VYB2f
z38I9LcAXxOh0Tw0*U~l3z_GBB^XEJf4umgcB&JKj$(e)sKP=7Q5ufb(@Ox$8p?M`$
zS0@5<;t$_HGcW^WxVZAzn*a;RlS1Pj{NOsq^0<`O3>@M~q8(F;5Qi&PxUX|U;?w8%
z0>7C8S_rPt@>BpM9+AEr!UW$U4*R5BF@?IWzOT{^a&Y3co!mHe8*9%zZ;#8ELddx5
zd0`b<&<wa(e^Oupd$4sqPOyp!vo%+guBJ=F%RO99Rslb-mY#}tDppizeHT8%BPR){
z!ca|G?E$8c!5Kf-3D7CF=FO)i25F|#>2@mJcr@#DbM9dP-=m6wPQk+PLZhieu5%RU
z`Q%u&*oVQcTQ4^{zX`w_+nd47lT-M3gZG;8vIz*;olDI>&Ig5cp@m0UXYfG2mZ8@|
zCNM~>kW$j*0d^;q2<F9EoM05;=ZF~t%gQdn7Y8_DLR=vDgU1{mrRgJhE!YV9XLW_V
z%h+I4p-m`EcMkt67BF-n#}G(^IxU$#%n<pxmFvGlvv_bJbBWw{1Mu`PSdR;3fOAHT
z=H%KLyz+>;i=DIqbYEjTd!dyU)b43!Y1U8USLr|9dKI7#hu4@2DwejfSC6(@m~T(v
zzsd(ralO`qWoyr`<$ddzps*F?lHLT4<=hQrW7h*mp*ywi*a}92^7x|$f8m2s+&&(@
zy1<wnsCYnR2`ih<9JIMHf?HrN+|?g+Ak{J`{g1~ycFEeM<m8?o_{OE(Dw7I2fE2x4
zM^<LA{{a91|Njh^cRbc#6vvHZ@A251$9U|=9^WH-L{n5$DiK8pEs;=^mCBBY=!cR~
zA;(UXjEs_%h@=oHs^9bPd7ali=bn4-`}4W|665A!&La(~nl^<+*L8shoWGJrX9>pa
zO8LJILk*?ow-2`bqJs5-TgMOYnI@Lq<qiiY_BZsaEmU(Ir^38zaDdy6k3{N@A6fQd
zJq_2|{toOL)dBhJJwtj8;{-!n?Ay4J&IW(RC&JM#I^ZQe;(lN115qe&Z<{|`Tf;TC
zara}r+OXNOab4bjm>`ZMeWlc3!<nwG$jR;6z=wj{VqFFZ*N*g%>hhWf1@jXlL;YHi
z|KXgybW<Pk^fdkE&dAb+v_hd_^?h1!e6*9LCbx$$Io1EPKsKY{%dfsWFQ+uYl#yE~
zzpa}{JtV4Tt8$9C&Z66W<CG>a$}#Qz^Q()<u5p@V-<?Zbp|`XQqSu5cltX-0tuG0q
z$6iwF<)wtVcIL=EB@M_3pa@?R>>%!atMb^RQ$<)rl(`!3QU`rf?8*Lj?Zk2QIdz_0
zwFLFQ7e~UQ)nID*bLDg9cEUoG!hQTc66qS>W^L*yaQ|>(JtVggGgFq4?RT1qokw|f
z0@qaGc@d}ik&|u2hwKci){Hj7E~WqNkfACZuXZ}enMRBI1^IU7cMx=)kMdk2RG?_Z
z^I!){JMqvjIb5Q(i-?giOYQDd2AgnYru@2g;-7NY!r4u42%EjHdc?(*;oGk#um3%K
zLDVE=H}ur?5F@LzdD5qp;K(zpUy)NCM1Yg|SbtI<Q4-<qU-yy>-A{ek7F{}tL(g*7
zzem3%9;VcF_9~HKOG#@7ne`PhLr)*roi|8miRFaY#47?5{ooPiKd*^aXXnq}bHjvd
z<e>MzMFsd{;$Bme@rD>58=VpM8X@$O?5D=}E5J9?Q4@*xJw(M7hU^NlG2#p>>(#za
zc^FWzi<jEcM>vg|2RpD%5Q4$o0ca)<isp@1OM3eWIdb5}(c(#B!B~1nN|hWmIjaY1
zBn=RALt(q(1E&a6hV1`zHRV7%WADue;X{OoEyIsEpK0O_-(9-&GFjkelh=N9_Z{J}
zN-=(T<1=xTu0WtvQx@o7HTne7e;_ja@7(QOog=jQk2xHzmVukGzYo369U~}@la3ur
z|4KX&o#c8#$bfdkUYCa!6NG6^vA@0fcVapF(ylvQ($HyObk%Njk_c?F>X!SkNVt8^
z1rc{?XtOxB=vpvEOs-XR7ZfZL{SR-AZ=aNcz6)+=A~U9mVd1v+(ySFCFV%0Vj8_UA
z9`!%{*7})nPUoZEfBBQpvT<1Uv6X~ysUUA}$`|67Nn7Pj>Te=!xBjEb7zvmzV>#g3
z|CNYgIczRHu|W(L8Rft25{EgaXXGHy@5G;umbeFl{|FKKO(hgDaoFW*D8k6NMA&tf
zKG8{{2Wvam%LajB(6P73*yhbLF))%^s^!TDlMb1w*}b9=IU*H8?p`6395a}EyqI8|
zPghIbR1}y(neqgf)`&mxcFni)nPIraVBklE2sm)ihYE)MCirHx=2Iovz|AV+4(N)&
ziC6);e)T`ZqmTUm0!KN(O57s4vQ-#f_dQG6EldY{h3-2C&v8TGz}Z<hFJX9>HZwEa
zL=VdEgi=lK@j{sTFX0*yVR(G`YO;4GBd~?_9FL0P2f4NK({qy~*x^_s`k{~sgnlvc
z-AomP>8=2d&Q=mo3{T2L%rOI(zDbbr2NIkN-Eie@Cqd6r$|+_)HZb75x#8z23h%5U
zKb@T?K{^j#Rk9W*m_B72&{UQH)ljlNzo{^sFFyYMl{61DAQl^nNyGV&WxD;1!oZN>
zZynOZ3xA{1Y!0`}K-l`5hV&>Aa6ajpYE;G#4JItUn=<9Ve!2UiaFQr^YqfYKJ`)7a
z5t;np+X}GdrJG0KiWt<%E+1+9MS^{{e^#XH$&mF;MErG&1k`GK?`S$H3b~6XrKH$Z
zAaMF><tA2X$aCLx`lFZx%--!@yc<q|z4IK>qi1BGSmAr33B5Gz8mmj&$)^GLnDXr}
zn9G4vO<c29vJ5CL9WiJerSZ-rN!s;<0$4YeE7zOI!SwVUa-pF%T%TU}PGwhuC;R0e
zouF3$?>|zlBS|_?6b22dN~-X1qriywy&}jyQLK#^qQabQ5kcuzhsxUDzZ{yCK$ic4
z^G$j^2-zmUb|Fd&o;+BxG<c)}vcazWs=xK%0~-&0|BMbS?`Ex*O{akKioG#wnLY$O
zT758)s0RVh6`e2msl$Y=?oK8a1DFo>7JU_92tsOUJOZ4WaCe;3OY(<4?8r!;&kr+!
zHn*);Z?<cK<Ag7dg{MAzo|Ns@Odx=b-@^ANO&{2YOxcdv=|Q$p?e@)f=8)LV_xJ~D
zK}1r4lywP}R@bR8<>3~{;f<YXU(f=*og_WhWNpwdbxW|Hw}1*~zg5X`EuaRT`Ys}<
z3A4XiX9T}mLNsMQayUf`)=y`=tSnW5g+iuJJMUXTOVNtF7mF5ndz{jt{FH|Y#(%%9
zM64mXp`5$ON)vkK>(=+)m4sIJxG%@et)b~XNwlp%9VTtq`zXKp;f#)LQ9aoj6zN~A
zwFXe2KlDN>U&SW)<=gUDYS0Sa>2=o+Y*K+M9TKhN*JH%a_Rpui_gewuU;DhM5Hh^b
ztC;Dd|IyGWox^>j#S+@;+ZLLK<$>Rcp8bF|6AlG!0uM1uSWZ)BnjvJNU1L90f{hFF
zF9o(=IBo$E{$c4XC#8VOt+4URkq_^03(VgBbPHUl;ZCZ&Aqu30`GT=R0n{%N_W8%L
z1+tFVIj#Q_1fpcHlplofb{RUhdYgkAgIWElI$jWeu`EW}Lc$~^mGg&R1I#x$Ik9B1
z!<EtG2IgK8zUgdYi8cf9nEYkj>$?ej{~W+&E@3RW!T(A(kbvka)jsZ*>x8QKxzJ~P
z!Z^TDVr_fQ4D`&Ti4wZ+MBAl>bK*-R+#pZJwB0g=p_h*e?q<Cu(%4?$nR*fyET6o%
zx!D9hpOIa&_IcCL$GagF6G_6tqD-y>e~lp_qo!Qbc(x%_$M?Yx8xlUD%dNAtF^1uV
z*hVwc9}WBc6Nb2jNyw@`w(Oc^1RfK9cdPi<8-8T)s2l$j!mED^%mOwHp`ZUT_wH;u
zJQ#8oJ!XZlLfK(1#mf+4SJavvk22!H)c6FmMIjX9vJ3h>Yyd-h%;T)TGGS|QMj-N#
z@TiZFE2oPA1g9|m{6(<fQ#tEna&{!#ZqMqm_nkfzoO)JdcZ>}+3mLLhGD*nIRy}va
zOCMhGe%Wr}$AP~IyD&3mVJzlz?uw_qvz{pcg*{w&XOE;q^mSoOUb&p9aZ3;2_@2VY
zBp!5BEN5R)6G77>XPTl7^&m7^VS4fp5B@!<YjNPS2wKeX$~>6Tg;SovnTiv<2!r`+
zp>?9Dba;nx&uv}6@b#D4EqwT-WNOP$u^2|JoE|jUsSAreF6U1c^P_{yo<AGq;y5|3
z`qh%83k>ZP<+T(6lsB#TZT?yUk4zf1Y@edSVW}?J;!A>9v1fLDm{AH<)TSgxo>9T^
zMszLdtPpZYl=n=KrSYYekhxzb6?E5@+0xFEaH2o8%Y8^1?V1zn(_*MVzIRK_I9eF%
z=Tf+CrO05w#EGg+7pPD${ARW*Lj+Tsv?<qj%VPRuL#X>jD*WRfE$^-sMX6fBB^GHp
zJaOZh)}91f-P;>$A)m!iD@Zpz_PZQ1d5nkMr*UG9;v<nOErE$&!l$XN^2omE=D+DJ
z72bww_I4bW#L$n$qhpy0cqHex4L_GI^d!dSvOSVQLp8C5#Z!uCRVDe;+eH_~r^CIY
zqNGu(QZ3Khl8lMt(tpmB>B4;C9iwF}8FbKoY}LoDgcSkI770RnaOT~RLE)qf;#38_
z%Nr%Mi(K7Wk)Q_(?`z(WQ)O}Av>Quhq%uDBEHf+;(g!(>;EGyHIsEsF^O~oW3VPG8
zS@o9cgU7RwIFBVc%%*R6aj!rHOPb`w)OH$xBU}AaM}|DY>fquN4pp@CKV)sdWC%0d
zFZY}`R>1$b$TM_1Rk6VOZrx&|A(RCj_G#@=z&APPciIN2;$aP5kDeGKAo!I}4DMCL
za{@lw8IG%>-gjZISKEwX(bmc9L!Tl#FvRdCQdQCBYt$ZZaTE9&%M~MNM8-6S%`xYD
zRB)f5glWeo6S!@W)3y*tMoM{}WF4rW>-j;J(fg**t`khB)I!F_sgetAQOcP0{9{7Q
zAv2KbE_Gh`NJg{mahr;=m5{gcn^`M60Y!cfUDiI6G4pm2^-BsF<wLSk7xM`y^?E&<
z*-OTLld@mIK8k4M8q*ZS50GT<OFxoJMu$yB3ED~u$l%a>gJcIVyzkwq6T4{rcr>Xt
z4ang+KX+S>K!8-+mbOO=ipUwe+m-EtEG~yY*3@-?eZ!?0_i5*?k%PQFvNE`owSyx&
z3*g8Z!N)^m3Ya>Nel<B#7?&dP;zkaD;Y#wXwuu5xo}u;-d=hw(&S&&&DnMw{n*)ni
z<*`5~uvGAYC^kC0kG8%DFrp}zb-GIqH=gg)Z#pH6<zF~%iyQ=S*GOF_Gt1!syln9E
z6T)wU#p>Dy0EsUThVC_$#kP9GA4@p`*q3sMXNU#h@wZ^IW}pm~T`IaG&CZXC*Xvp`
z3kh&4x$YQuUm9OAj$3U!<VC6WwY+#O0&4cIX|1+O;pqdao|1_?_`taB@Z(A|Sl`_B
z<(!Qq_H-Gj3R-hx?!ouX9NK2U=6P_B&#*Xpy13b~^l_s2Gxz5^ADBY<hpR+SxEQi%
z#uQi7b6}I&XEtV8Q>d_|T#+;q#a*jG{?>olvAqcLeQ%q<+m}3LGMpj^o3}_WU1LWc
zH(|3B4ihkGow1ksMM62cReKFjb_~kC)bD=D7zUgYjOPCep%>a&tcS4U*`2p9#{Dva
z@`P!amlVQFUym+rw6Np#o98tv1C2n={@->3H$fcM6JyV`=D-BHv8DYBhF~@t{{CL6
z0RBEg9%1^)fm;(VCM@|G!j)yn9}*M5I}Gb(`n{Z}b*?hBZ@~Z#o2CEWmd}r`E)VK2
z^mE}_a1ig#U;}t=UqcSF;Kvp-7o|HJ+$cJ#>0JLuA1>Wk`B$>ehaMjDjg|R4sG^|W
z=@zdKProEJZ0Y1fzu>qKhP}Lau}a_jq=Y^+&t~goJ>tU*AHJzUX+BhUO}=SfsR!ow
z?0qE4_|UbM@c`EvAM!PPuoK^=2P}2v&4$Q_A7IaF`4~Tn{CMByu&4`?+G%vBXZSFg
zM`-@*pa3d8a-qtl=>qSWn6V>r{1`&r$3U78#AV?@@jsTj@Y?Q7<D(#cEE^=kudfT?
zd`o$+$r=@oS@M_(4bk$yIzO%>3nMkSxxu-D3Ni;p>fE;pU`geHQBE%!cZKJ(%Yvv-
znUc%vIU<0UcTRAQREuKq{?(*W6DoKI+*e{bFNi;==ihjVien`AZNWe;Dr{Jh?igzb
zAyghc)SM)NF80SNSZ8%WBt34&?1~UxcuL~x5|P5Zt!3MGz0!eb4Xu{7ZW21KslJZc
zD~+s{7eu-1bO4q$%q;7Lk*CetdRS8iuN)1o*i@|pLLNH`66-~<cuHDKk6RWW<kTgy
z)AAop{r+&_jVQ{fh5!8Thb%5U`)<bAtpgI7eQz$Wh~afnHMgH*a=15aj(GD;2NHG7
zevGL~;Qp(=JiguXcz)DT+eL~BX3URsA_FDy^2;9Huc&}~I<L_Ocu>JyqGvnf3n{FQ
zI2!-y5sjCOTV8xBr9xkOa-IE6X*}>DE>iCfjc0q3bq~^XWG48+y`K&;$o$PWSua`%
z;{paf-6C`$XiLQSoz1f7-jvw!=zucb47p9PZ_<PP<720jnq|>kI<Rd?Sp{$W6Jgz-
zt_Q|kO6lzpau|B??)HIE6_lqBEa@Qh;n>g?<z-`eoX!=E{}QH(Xa5}Azk5|5NYB%`
zgO=p6SNA^a-6d7@3;TZHRILF7FbSSJn5Td&#e`jqH3iv~dlZ(h8A5L&wI{<$5z}{`
zkdODL;LwxJu^iq;z^U%@@!fkx{1SDX&E1EBYKwQDI@uY6F@3@Lu7hMOGhW*JRFi^L
z6XOm~DJF1vHL*&qhsJA;T&1RFReaPk7C*pg3a(Eio-HXWp>Gu($x2ogZ*g7Q|7pe)
zq++Zme7%)0oDFinY*oS65tqxjs?Ff|zb|&aaZ2dCT~^!CUKvm4bbh`YM1Z>(rP(V%
z3E%jYcn^px;mE;}Zxk+o+G+Q?lprPCwd?-Rv@S)=`pO<=;{xzt;LYJ>LnSl|&YYb(
zq<{ot*`cRN08hgwe;%47V{F^Srh!j#c&NXj;8q>Lnlo2K^hq*q(1~>P9Fj!^I!mLF
zVSrwGwQ~*Qil~@xabkT`8s{3#{QPGCsDt%8xl9yMB-O$4N~a_m#yS4sq{WK_yN-U2
zQoy;r|J~wQ7sG-z2StLmj+^%VZ+vy~*nFfR{En*#x>-~U8Z`iL#&Yco`z(iAb1u32
zz6v43RrZ%&835IXwl33g${|bT`|TGS1h5k0-&y$qK*hG;05w^(>Gg<@?WJ*Jhn@01
znms(A?8RZfRR$x9x9Y``dC~qiCB*Ot0k!&&TI(;3GFGK|(&xC*l*`b!>l6X>_nJ3L
zYe?Z7Nq?7vJSUo)ue_d^F@tBrbjsTkB=Fpid-A(2*ioth^6t2r0oPMi*PnFaxa%|L
z$K-BSG+w**;zO$`gthcFYQ~A;P`pfFN&^e#m9e`hYnj4Mk;s+36cLPO5j|MR%7WJY
zK?^T4O`u{{D@|dRgqOD-=SnVM#({c{wbz?X;FHVxNKvB@{@nbq&ncD}-FIv`#}#A@
zd9C-ALaPO_ruO9T!D40<yng??{)7?i1FpRKb^#3MNfzDM#Da|0Ip+tr8^N1pujkGy
z{CIxb$kvDy7Q9R+y4|DI5E?Ty0L}Pu`r}nk*{!U|$P_NDY+?wRc7h6l`7}R#$2K=b
zlMO{`i+!T24dBFJXvlq8KC}`U<~wG{j&s`duGLfn7<id7a-)_PZ>i^(u^r_=k79e1
zwQ7B6RMcbhIKhkOrqA(}JmN%t6R*K2Q+)_^{3xZP&x@~bT~n2k<i?b*jNg-9=m8Vk
z7Y#dMUgV^(I4tbqK^9?!I9FFah-N*(JI&3DQ_<pg{8V`H<(4abLSJ=Z%7*&zumr7c
zXSdmNZa&Pi9e&Rds|(eU=Qrs9FY=42@3&&&$Fl+?)k}&rA6u0)^dXcNyH?G}SJ?&7
zmf~pH)=34y%G7hrExb5=XsaznP7rNwT$a=hr2?^E`HY`DAKrfLDEHA(2+iKLrz<N{
zVWf2X(TOxZ93b7w@wrOEMf$u&@kt%vvDwwUO@<$z1%4L`8y3bhh8ikycXeRla1_&%
zdVbv6aLca7R1}SQ)BOJ)*MT2}f|+tB1#rt4&+&?CF$`F(bR(JQz`NM)wPI~S{8ndF
z)@~_*l{Sz5MhWS_7WT`LN7-q*wbj~8=(8k#7H_O(TGxiHX$zDSYeJ|&-0P%nlScdg
zMel$)ZE#uZZR@1@ijz0V>q&Yt=v-~BR`N+3tlA&toaPom(m#fQYl^bi?aRSf@>LsN
zL<>im7>eSpi9=NuQgYZhC+>KfQ3tww{pTA)#4vpKiM5kb@|d-+r(8^l*3U&Z$7Ai{
zh(X$myA%{qiwNI%xSzJKg#Hv06-kUaAf8jBu82*cXKq{4<^YsGa$mEhaI=q(Ws3nB
z|Lk7k9QdUJ509k|?@p4&&T79vCQ!oN-nBl~N2uWL(KNy3DubKfe)D$&WsET5<hP!r
zf~9rQO1``-a-B8H|3+0oZ7y|tB3Kv7j`nDp(R6Naz10V2VO6Y<d0k{Gss|4{Kg<-i
z$f2>&)0&f0s<>6JIJ2)$4}$(nJ8XG_wx4+w&fXLXjx$-s|GT3P&Nnoz#M~87{(`|w
zySN%2)pl6qyI=tC;}e(PN-Cm>mfpm}b80C4Y4lc(w;=>ZWjpuvE8;fR_k;V3)$m;w
zU;MEHMsTJnCdu?185?YNkDbm{L*xH4?|Hi$L!H+86=g0Z+}xW$UfQpQo)I%kAKgu0
z*Dbrs`m0LlVb)@JX@o-KR;GT;K2xx|6|m>PoD%w6znrolNx@5}rW>-hnL#%F^28)X
z8IM`Vj<_hQq8WXR&^~<v`funq)H*3+HCuVH^-pDtDITmAWCGZ&Mo}Zv;+yZMJh`2w
zgn2&t%=DfB1*!vgx2h<kr=E$SG(Q=)RXuds{SZJ;Tl|O1M<p!XL&vOhiuO;+5U`0_
z0B{viC_Z^s2}fUrkN>TgLrR=7dxn@fIPLR!Ub9HXJ0%ZFM>o;VA=|oRtG+oT*wuW|
zbR^@r*v`r_+WnMdWcK@RZVn@TkL<5qSH$bLSL;r>NMNx`M2?4vIaKKG3I6+30kbp;
z*5hdR@w}eB(iGVoer~zi#5y34p=p_%<$FjtS^6<oY_mCZD0$l0Pt*KBiI|S^GXeDN
zSqXeK1aR)8g}e1PSv<q#xwXiP4?pP^#`fd^oaJyTuwIeDROjD~DF=8kXEpTO3T+Nk
zuWGsVH>9!jWKOlT9VfO-4?X`P0YKiL6_w0P^I>t%ycE6IFnDM+KlnZY%3r^!=2IoH
z=wM~zM@|-0w~Fiy;37ck?$`S96XK{b7RK{YcQdAav(gp_FoPriUbVk^E{a_xVI1MT
zn@}lz=R?bGQ&2Vc=JHh$!7<zN(Skun3|*64xvpjk)Qgp$KU9z~<JC%Vm?0y^e0nQS
zxn=?mmOi`U+=P&sOO3a7o&hy>9BC!Z8^f`}C<YBFK_pif9TlHpK)<TFOkO9NUNF?(
zqTeKdr^;utk4Z6N`dn&#X@wDF7tOuyVCF}^QtP(#>x}4qJ;uvj)Ch*pT&ei2%!hjO
zCK1yro3PLz<#=ecA$%6Lv*_^Q#mO!@$%l)Z5G!SY_+bE*Ztwh{jR%*$tn3K=z=Y}l
zMK#WO830#DoWc$>9(?U5-_Sa@8C|Uty9+<)!>=;!2c3D`sFGmPB}igH(&^C6nXdZq
zGiBq*i(g!L(XuD+=|NVEcM`9fAJl`o)-5TKm$*<t#rJ4a8yhCfrCT)81U~nG{&xl=
zF6584iv4WMfh1n4CQRwV^@RKSS0uS``$%=<=^0KuaqD4o>M31FKda#qt<HrX?>4Gv
z<a1+{7NmV+)P<|dpME{?=EA}YmT>nu4?guQWVw<_1&a?%y$hXO_*z|aFq@`tqGnNP
z*#=Y?9XRp!(jIPnv-&JBpo0(RoP0gcyw`!aJ$YXKOgxzFajIE#mLKh=9;f<W)`9a3
zN<|}qJV;)Njw}}wL^fGRh6x=VsFHh^$?$^*d0Tkg?LCEXtkR>ygvM>7@^kxFukfO>
zr4;Mt=Oo+^IM2y&UmG6$x#;ytix0J)Mt=XUA%Y$Jd!9F*(1ru`){(s5_;Bs*O<}sH
zqIf~q&O_Qn8>B3GA9Nx=9xv7^{pTi*YZ)PxgZ$cX>}34(i6Q~icAqPW;Fkb4K*_&E
z&t<-?Pgb<xGi6)N&U``KviqHQ^Cu}h$Cs2-GN}d39S`|?Duqx_!A{TVvox;X<jN|4
zuLaQuiEHE$5|;HBm;N^^gC|$S{l+J>;4V+~u`?nfcyT{d)z(#6^oOx&zf~<T@t;5a
z%uf_^+>IuLIpy)h?1Fcis5Xohh5F>Y6~hgs*8-sw1zf$fJFwDO8@4<e&Aq%+0{JrI
zZyE1UM3Uye)55p4;g+mM;Gs{FxZh)E&ovrfe;7Z|7FyB<XR61&UQ21*_LtuMb%7FU
zs1z^G9-=vcg)54@QZlIeKs7(1Lm5B0_sAB`=s=rhZtL1V8MJpAHas__g54Vq?4p;c
z5Ed5I`rjv6d{0pO4}4Qat+w*w$NIXkL%BnH<Q46|G$m|9{Yb&Ws5`ga8T7zUC5m`f
zC6Bc$Ki$oqsNuL!N6OxhdhlP|?aK9Z1w546-RIz?j`4G3Kbc{Du;olX^*%%qBTn!g
zWB#O$m-Nuqbix4IzH}^*ZOIr~+I7;0qJd#cKI-~whS1FP$#Wm85~i>kMu4sc`q#fa
zpCDokAyGOZ4OKL~NYv}=_@#~qX9jy(2@@FAIP92ZtBgJpFZ&!q)bZ_ymdq<hOd)1-
zJ>^urGX62jc$rJnDL!X?-Y*em@c9J!fDVreZcHDP%f3m$Vd;V7rt1V$Y1bMin5tlo
zP35d9p^8n+Nh~Z|0DRKssFD^ccv0f+-sCc6G>E5TdRhk1{8cqNS4ss*^ls_97RWgH
z-}T+LY~~=E*XhgKr;Kdjp7LAS6*02rKb_hg<}lB6Q=`g58OJx-@C5M7<3@RD(Nv5%
z7@DjYu(c{-l!tlvqJS*UR<=s}7n%bn-@t==v^iK&nI!f~NaOzi0096043~#L)eRKJ
z?Y;MQt$S_m#kJjI6sc53QAt*%knu*zC`D5#B{UF9rOb?s->FbENGc<nQbwf6e*FXI
z^EvBzzR&URl(TKc)-cE}aC}9dg39Y{IHE)4us=A`$Mm5!y!==8NgK#$Q&p9;ZBPom
z4}|x5T(O2K!@>Mq3pH$7N))(qOB^%pYPuZ)tifVSSoyS;D&8Ysi+%D?1ou5ZTer#3
z8b*h_?nQ~JpkLg&wlEPPe4+G|_30mgjh#X5PXCn9?r+CK!AHF4btN;sssLco-Mp2l
zkAw}qH*@z5bK>t5rlY=l0D6+M8f9-NqVAp24I5swA?NXC*H~VFV=v#h<;2V5iBG~|
z#~oSlELkQ~^$-J$7P^)=6J_!CizdIzyP0q?>q6zLYAZ-{3H}z7Cyk%qi8gEWE))4f
z50s~PtiUbM<(T-eBp%zKkSjQ{NbITGV{5$A5`ynJKj^ZRK;!Y`9HycLqQyLx{`sK=
zR12m#{c8|I`5?2g?J5fd)!d@CeAyg0c(b2=Jt&Gh)R<hg$O}Z64yWZQ7jrnjLC4jT
zCW86b)URaUT_D^SBbc5Rm_f0ol5vNuFg9qGu&*R65>bOxuPkme7<2#P;7k_6kdOxR
z>$pUOJN(4hgQgJfi}Nbk0%%h}W4pU<g%}SYXGgS{z^kO8*gzUTHb2=$OJrxl^INIy
z*(N5S|I{}wWtkUy{B@69V`Ij25O){3XABLFa5rz22Nl<wj+)7{px^7$OP?f-;o#u@
zKs4gPxBjYM3O2Li*_kus`6N1w-SYA#-{!_v8C#B-Yizhbt$yq*7acC2;0kgw;Ktd5
z{kL0wv*W=(dn>M;F#>^)Et`M+<-%u`-fVgMIdM^3BwLTy2#7$|2b@D(*gJ5j(CZHu
z?hCw}8k%AVlui-vp?_Rhx3BxTPX-TauigteN-_i^EyH33IyVMGBPDVdA2w7aaR!ta
zz{H^w(f8B2@qu$hV~wc*cIIchg={c@*JozcYn6F$>-xP}?`4IsGBc#CeuM^*LmnG`
zwesNJXO+EuTEciDfoggG3=Jx(D{N(Rc`-D$G9lJU1Y=0WF8+Enh@*w`2i)Sr^`HJc
z)kqM<+tx*UclJ=BsimFC{uw`#ac@T82QlndJX1G)g$lBjQ_uWX1klcsyX3Q>1Uf&Z
zcjRxTf(cJ#&}Ty-{P?T+^6w%^H13Iw6c(n!ibGt<ofRQ0Onee;W-pDxgPEr7U-iL8
zq1;rjM;N_Xqj&Jk%b;rNHQCZ)eaKvQ+SmMp2xd&J%qP8)!(<K}_KV5-p!k>kCAM1>
zZ(eWO{isv{Lu}vZ?26Kd21|$5vL!KO5e;si*+W8-Vz;Vgh&~iWPy>>TB(Oy$+fXH3
z36JfnqlJX)15SHIWhF|Yo7j|yaH=xCJhZjIH9;Q^Eb!-ePD$Zn&gjfaqY9=PY%4u<
zUmr&9O$yD2$zb8u>BjqPYG}2&t;(faAJ$8qEN~T&!yQ-d5=xuNSSfk--*aUuWZYy6
z9eFN~$${*-wYMplo@F&08ApXv<gDM<E-K<iKT+<H-|Fbk9DChhh6?GrXR5Z8ld$vY
zz{tG4CT>2IB9akDgXHA&@`^$w6lpRMG{2#Rltb>xGGqfN<5QHYDN@F}W=1DVI<>Ly
zoq$5~cLN9>eXGV@p@Jct)@25qy6DF0K4jcr2!*9Xo=*r>wC>a08Y-cOO;>m7o7WkE
z&fe;6Vz1ONQ<gDLUDm_Nx2%-94|E`Bxr;2kCS!PJ?o~H;edLIZxqohX?O*71cVdu&
z-(I*;SX1<|R54Cp+R7ACRm?1C`RceYh|Y5Mfj-6?%`3-UGK0@Env(WW8t6xz%s72R
z9}n{VDfJmO2iw`V>V&=~zTZGnZ}8B^mb>b*Bs)vsSt(y%)u4&{E*cE(>CwZick$Um
z=~i%@Dw$DlpoJT>K72KOtc!fl5`QlAFrZ{6ebOvK3zxgHXGrQg_{6P!XWMCjqc3bG
zZ=BOYmwB2&_zo?cNSp1g=C+3G4%OtBhqUmwa*%qog9e_MZo4NEWesLsUo~vyw2-qi
z;^z%s3da8?w@7`o23<us?0icTv!C-lV=7g}wt_<p4N)7AI}miTZBhf5_BpRRyiFMc
z_V!LSncBc@rq9I+QW_|D-SuJgv?AU<c`+l?-Uf_W_psN?t0TRK$0sgS7CBwK64zVV
zfJ~UQ3x$J%zbkk9y|R$RP=~1qDUuC*yOb%Q+M$NiySpAF?i0oS-iYKMzpSBWF8%Z4
z3{{kl(?6;?D~Mq!&;K<PSwp1ni=}8+6`U+y7xR{h2TyD~@TJ1v8t7SrQEzyaQL5u7
zch>|P4q4dyX9!zE{hP-fs*NPnrvD6#dCG)ye#Iq=<p9-cMnA3yDI&f1PCH-90wE~Q
zx0BBuz(Fn}mQf&wRWRPRS?@1Vq#t|MXo3NkY(G^T@t48He}4Z^Vwza^cx+ThodNTw
zhTUF*6u#e4zGP`NPISyN-!k^Kg3!``RSwn?*sDlpx3?N4UUF>uZ#L5sIA6wTeLEnA
zptt|l`u-6js4d?ywa)^$d{vGFRf=He`<Qy+-eH2bQfX;O*#e#$?Y8@<Cye{=U!oPw
z4-=wS5?}frGzVekm3!5<1aY=eWJl5R2ytO-RL`&647yK!esD*PA1?-{1g+G3Cw!93
zFY|Mn!Hd4uY>7D@EUD>BI4JUyP~>l53*K!C2gVQi1o3lY<LWKz)xL4!73YES_;M3S
zV~JPK^W(&4Uc$>H&MBh#WyNJHaTDle&xpzW$ByX=g>T9mrirEhDy1(UH3p+Y&o_EB
zu;J#J!*4wDW(d+sX_r?&9q2c=(AyhXv17`R-jMy5;5BZ|y0wW8b9O8)p7SiY$9o|w
zv2u<Or?7Jw)EYrgx31eM4;H+uU-n<c=se+H!E#)bW(3tbed^?4X5=1OdotP*5y1Jh
zkNU_Ef^sbeV^W#%dsERb)wC7DwB(a$qPih$JKfWy5X_9ez5Q1nCoy40mYXZzLj#cG
zKTKOZz>GUL8hL)~W5$RAN=}2G0VoP8J@8FnMjKU<XPg}?9?B>;t*oL!?#ZwJ*k3T?
zTkWcm#acFOU#S$CvZujVKePAPn!gsLT1|I4ao~1nN{Q>D!iEBqjS*=qxHarN+t@rO
z+8_Voc_NewQfW6Ty{N4Cdr~LI;srM*HvV=L<EMh{&DM)$qpY}|r@U2cjhB86z02J9
zSRdZ2Jbu?!$A(wyoh5!%@T144)X2xq`Vdrqre|LnJ7(IhJ9cbb5GRg{4{l%30|_JM
z`~%G#IDUV8j{{j4?a%hx`|i|(6y44FQY>7^Zx?r4K3D_|-y6TRZPW$z$itaSyScHZ
z-@drDMHGjxD!v=E(uIVE?%M9JJh)us6Mb^CIJ#8j+3#r30Z#4RlU1kqu+u!f-{pq{
zCTpj~jqTI{&*w^CKDY>AtRIN^=Sg9V_ZCl8W*yj!o~IirLb&&&rdaJM84SK29n@5%
z4fXSfI%+J0F+9vv-8@ka{jJFE6N%ao=FWOT;h+d^jFev&{X_xZS5Cyw9@K_J5w{#D
z7DbQJhS{&NBrHib@w<OO8!`{S-f~z}9G%*0dAB}OLN3AG@6=9d!v^No1HD%y@JiRs
z4HvmpP;-1(o~ce7-j6jMN!5|UGFdN2_CQrcj`DB1@;Xp$a`4pd@6vcwJESzRUkx`@
z*)a*{=>SK2smnD&7E7b}1v&jGXzE}Q=e1K8s#=8Ua^>=vvLN%~zgcyxTJ_&1VWS5%
zZyG7e&5Br{Oti!%YhuCDv9I^^^?|bQlJ5Kx3BSLg7VOs1#*afTj1#^35Vj*hXs?no
zma4ZN&1lfUFk-WRPXQH*n47K|ZB@at6zPoVEqdtCchCIBZ5o)S-HW=LsERsW{${uK
z>f?UaP2WEi8vqAOq~s*3VZ1BV$DD(T7bK^O@P{EhQne~QxIo56P1~l_D^#ph2`*H#
zqr>it%&kE>>bP<+JY{Nuin*sIm6hs@VR1|BpofbFsyuBAi!`I5QAu1ytFtLo7albu
z{4`O@)O7HR0}Z#n{nV(uXa-%?MLB66T4;Kb`RTYK4Lf7F>OVfVfXQFE`FR@J_#QZ3
z$5vBu$Jqzx9(q}Uldpn)|66TbeoNc5AWg+!ZP%YG%m5FVYQC^r=-|VEoWgkveKg&c
zU5SkVbiL&<N~jKg;4}Tg>!ORvzW=!LBCUZ<WHnd+fDZPVP?APlwD7u<-HjOm8wg0#
z{N|{rgFX{q0?RlwkhfN~&)}>L94|PmBX>g^x4xU7aTF%wsMb*TrG6Xu{-z_du}urB
z?cEIj@~EK5K=b}p30rue;xSYFMH8Ji?tCC5K*DnhhOUm<w&3J`TSw)w23k<678ZSF
zu(O@F>xHr{+}n9Ms$`csa&?{RVyxX`w$0-wKbCD^Cgr<$$v7DeJ6wh2)(K(u-dW>?
z=QdC^E%P@mKn)XnxMBxHx$s}1vGuWV8^A;BY)^EnAh|c>d|)dR^3<QVYL~D9J!v<`
zT1RE9>oa3IfAlZ0tzb{J^qLP&m)y_2S+~YfqE_W}`R~Lb-6J~hY^;HN<!WS5lmbr8
zraQS@dPk5S!nuzh0E!JoQ@^IlqM?LpKlkew44(g-^}@XX+}kR@^mR(%2fOrmciV2p
z&w2gc=UoiQFu3vLj)Me()4bo^(IH0CX|Lk^c`J~tvDDo1O%xq7bsKe;zcaj-|4X%$
zw}R%x=&}=K!U%u39RE1}WVD-EQ%<k9gs{v8xz>Gxn6QI$oSQnv_}3&8$Q@w;N3z@9
zx773EsgYAw2bjkgQ6s_s*bB@dHEVE0IhG6K8VhfjGyh~T%nK;TM$Mq~*|TK4%#LkG
zB?RgNMj4T@nm;YI%)nGtd*Q<j3&x#h{}><ejWK^;ms#dNQ?PG$h)Bp~!f~rE;*8ob
zqscC===BQ|s6JT{bjNs^5Dp@1KYupBkiNbAjakwJ+-0HP<o-O-=<sAEBDR<DnJn}&
zHpCc&tS{yNxiCw7i+sp*F|m{3tzbi4dQS(RGwBKbT{DCk+hhEd+s=4b*=cS;qp!`g
zq#Msn6O}jBU~5|oBZq$~h9koWHU+*kof7>;xIaj`L91$He3IzrSLZN-kz@BDxp0iw
z;4nsK2-YyZit5XRM;L<Mt{a7MA4Z8TR@bGBrF)F)MuOgTKMg>e``)(`2fq=!&+s0P
zRJlSVSMR<x>|+3`GoN-$2M!b89{qR0cSkAF&&u`tWiJhk+rk)CZwHAmwIQy6K_tSw
zQbH~F&;ZyHn(1)^#2=+idPSdK5ywV5?ivnIf$#fZ9Qk-ZVL70|@0j+U_&Q`sxxAkW
z(`r-YVxfHm|IVPBLbuuoC&h+9!)blsC`=1d^6n*WNcOJI4t*k0OV5V#$LfPZT>JgG
zXFbHbpQjs^wL6Kh@y6?H0{T$%DPgntkscz8Dn~ta;wxdt<@}dtO+Syjyi9F8(?f{R
z|C^N@?IT$HX&v)Hx*$5O{%vKvhgjz+REOmQ#7y9o{NhX<_`2dWVU*QNI37Qq<efA`
z@Sm<bEc8WtZSUrrH{9tXeD>sBmWUZ4@(i~BH!G?Qg*x><#bNyf*)n*O$%XGkvcHh?
z`t4e9b9-WBsM!Evno*FwtM&&W!A4OUxvdGwqGl%f<UwLq_;|dR^f)opZS~~YPYpQk
zXx*e{GDOt6PPj$qO%nH&<LiqpG~jONFpq7>FcD&#9;8_|MQoT3x>%W_4(szmuJ^T$
z5UWe+wx<n$6Gvp8u{{4p0m^N*O7Gp@2`P%&<D4%ugtutph38u-5a%r!R4M+0@VD+r
zFJ0rMecq%8Ps_>Boc_$zi)oDD+|lD^d1H>qFP81NqeO=LmrqXmk|qe9!E<$nwe!Sv
zSC+d8SJWV<+1n;K>K9R`*~(y-ULx*3^&5@iP=lft?W|$$X=1f=?s{g?3bEtxhN$!t
zs&H@l9mDw8Z-O)Qk+NL_6K))-W9DK~g~1rlq;mp)2np*bx0&rM*pYO0_u^?4IBxe_
z<L0}+#GjsOQ%7Mo9NrTgQ6;DXzWI&AY0u_}9HpF;)HO~_^iaZES;|n@LO!F`HBZQu
zlJhSKbD?}vjgORxG91bf(etG)5$k(et=+wO@ZwySTkU5h_?^SYw%o8ng!6yPy)?mx
zC#Uk`Aw~)IEcixCwJ_m;Q`58cHG=5-+E6QATM2fK30x1{%YvChk!D;6h0#}HurYOn
z1Z9%p3eRNNkmIXA+k(6(;w$Ei4-ZIiJM;3SI12~PIo4k*TNXnF_Y%7gQ6w->XGo08
zaAC*$$N^=3NtBf=I(KO&39cn&Ggbq55c1&2)~(XG>!MhE&_)s{3+H9{{o%uk%95|n
zZ)B1G!uH+Uwvs?Tp=BV75X8-<3|sYh1$2qLkzNu=0*me2)(0IB#-;{`0oxi9ve7-m
zDso9+75H<ff}|+El{C26;;xL*Ru0!UFO$F|N4n|Zq!^CAv32<>sfzxoEVZ`LO0Ztk
zWn;^<1b!JhH$O11hEE_pd9S)M1nfNZkzGX^b45Ehdah8=zofr8j9Ue^X2>o(pO!_{
zm?8dP6-`6~wkNLYst{u|8OJKAfc)LVS$q7o@k3qVhOSF$VC88L@hFIdBl5l@;&r<C
zm71lOX-|O<@-iJfqe^&}rFh2tsy_DbcQnrP)PVc>A6dDNsbJQpMT7nZD!Ry<6_j>s
zL9M^I^&5FLZ27f)<j6D)<Lw@a?|Y*Qjk8RzhCh(etwukc!efZ)p*y}$N>jmg^C2Cc
z%j!5@Q?K@l#RzStowxDu8GwhU5O>=qO)T?!7bN!92s!>m-wQP}0<B922Cp({<C2g?
zQLq~wZ#536M`jvBOq%M+u-iIFeP+qcb%~C9Ri$bI^vz&r^Mk-@F+DWVINx?>A03?s
zl7skqEFfstqjPpz`q&kw_Wt%qBh*=N+FEs)0ck>GIs4ag{!y0QtJ_-)G0@!Uhq0tJ
zBx(gX?pW4GtIG=OhISdC>wD46a3>phw5{sZ9EpnAwo|_qPE&E3n>D7^%NCY8Wc`eU
zsK{O)cI9EYE~chT23audVD(@<XHwHz9X%b_iCGPNEH?8hdDspvX6`w^$w?oX7z6Dl
zY-%VUZISeG<2vB~vmiQWr-z%gln(!vCZW<^^^%Sw>!6g(8Z?lmgKU4RnC3eru%DiA
zzhM75@PB-x)Hz=ZS+~)K`ET;!U%yQcqcqmRmg5y0ITJK6*?%g;Kw^;?y-EqyY_Nmw
zz0ax_fPzeeTxLy<6$I%?kR0baJBavc=b=2Iif45;B%Z!I!)SN9@cB`REqGl!@hLt{
z8L1LS&h4YKKq$srIInS3;a*p%`&&r(r=34^{1F#87XF5l5jMbl)7zulL=G7@KW{m9
zgdcc(dTw!bSi{AwF-NI<QrKlA{?#c+2*x7f#B{B!fv@ChikONR){yo_IwuQ5^B>7a
zGY<jo9NzClJtc%H@{`pEY(=22?mL^GBET%y`lKhGJgC+9;RWNa2#Ai02A3E!ptz*a
z!D}NMwj3b++*~gL3ZJJvLcj`s3eGlMyuM7tb#{6Gs}X@3{j1%U?v`K|<Dz*#e}=GM
zs%-jmQv|l_t}gP$T0m&?UrXMo5kjNxQgwZh2>8_2CzTbMgKFj>&GH`&gu;tIK6DEa
z(EaxEtiUfbn7H=+%a^Ag7&hdO*1ZBE;H)%m%41>%iGnYE<;zAGWD&tlr^ke0AhZ74
z)AOdFp6YSOBXf!&c7$RV|5+H`WxAowHxpReY2dW?<6nluj!8e!kHXM4Icd-CXaesd
zI-8X)EHM1S(~hMM2?KL3Q$hGsV^B!-==SMaVK^LlF#D2Q1WqmSsH><OL-}QqqUHc*
zn7p7+-ML-_+GiXj8nWr2)l(WdYRd}UpKox~t@TT{GEh`irh^Q!E+1lL2fwreW?61g
zh+chDuk^qOyas~5TrK2)OHb2R!!L`1iEhn-GP)6n^>Q>bZQ+7H)=r0v^u)laY=6f{
zvmq?kx*EOt&J7P~2_zg9gA)^-o^Aeyu)0l;o)E_ix;zv0AvNNV*|8Q_ISpY$k==uh
zvi#8YR6Z%^p#;eGOflyd830L!?Qkn001H+XWo4z3;9j`RQq|i44DL44N=$^nqi>>R
z`HK{ES4p(TOB=v@-r<&2X<;z(d%DshDFb04MQN5@G?1s?c$&j50$amgPaX`H1yifk
zgF`tqI5J_<<FG6O%!60sr+&(TX|D7Z=|~#XRungcv4}ym>2SYmtOCe&Eri^3rGf39
zxryTv;;{7G)Fn@X1U*SLU6z(KxRz+=b=6D)wz$q8y}n2SPV3szaViaXCASNd9F~M9
zyp(f+6H4%AVqeuG0~##mUHW>fTnc_>9T?a;rVRV6uiUz3O9S&^VXjs|8Hj58A;kMf
z1#-?hbbR!o!S-FD-y@F8LbvY4sA+aJ*nUmrbk0>8?3gPX**Px<WgqoR+7!r;w=kY!
z+fD<I<Ca~mXB8k>J?wIyIR*GPe;=PzH-L3Xxm?a-Bp4CD7oO^&4rSvfYu;WlfMxmG
z_P8+;JX+t?R~)VZoYh>{djt)kDkt{Aqt{Aso%6Q3e1ayBFGlbU=NN*oeP*osLuFVw
z@7?hGj20yN9$0X2G6H_p^GzK|DxfSbYk&5LHl!c!WLpxT!(cHVK?zj_!_^*(i|cjZ
z#}C$-Z6kE(DBC2>xlL`Y&f=Wuj1GA4G7N@Vj3Ht3Bi$JdGL%I;p34i@1;^}IzTmee
z;6UM1Tb(1r#iMbTR8SYPoPYelFQyP8%li6fIR(n57nksZF8tP$epftU2H&Es$8CJn
zL9tflPupEx2$G%sLE*N5<f#Csi+|PO<))$Mr}T8eIjk+jT-6fV6P(UP25Nv>+z-a~
z2px!o<by#bR*>2zVlMkq1729})H#1t8)O`q-Dj;Bu*s-sPH$ENB>x$RZ#B~bPN^ir
z6e)lLHShBdteS9?lb?flp#gng>Dv2G1H5`wcZ2DN2Jm#qh$PCYgXOlC4Cj6TNw=38
za`!bLc2PIib1NAbOEmi}n$}PqEH8b{N&_sXW+d%{RUw*7b56wD8n)|99!V-zhwhp}
z^Wu1Axck7)T<)|r1a2R?Yr(1xv3H*M-^w6CMU#U4;}mO%?ksn#Fs8to<hd1|l7|MH
z1J}!wt>F-H!t9v~8HUsMb9`o#f$;^Z>(gj!cwQ-?6|h?koHsQshP{@6?q5N@=RK_9
z#k|USfgP&w=v!03vrbVkvi?`*tYHm?3j-(n9aNydXf!B@Aq;;<-R_!C0+?{x$+ggx
zq1f|9Px3#0a25-2-oK{j{bBXbJ=K)pVk+AvM@1e;Xo?kWTg#`8|7x4gN|C@(=UC*y
zaSjlhOX9K>0`N*1Qw*Xgz^i?1<uPt-pc1jbaW;wp<H@kj-#`wgZmm{a-^>DO+iw~(
zTCE_xNrK_yAp`X%_sbt?WP%IFZWX;!u>$U+K3+w)q`+a8rH#dRm9cYca#l;k+TN*^
zTW+pOK&9ZqvA;|!3@!_Uro3hgxcN7Ra_N*fRPERivb1rTLDe*3-9WMcp}Cz2MjB$U
z_i|0hQ>|r2*JeYH$fM?<6_b{bJ+<aH1TF96`DI4l#y2h1AI)HP>bAhXPGP8&jW&Pm
zw!&x{_~{cxGlLK1H;z;euK8blCsT0DD&y7uV9|wZrr_!MaO@nf5JV53|Kk(I1e@1w
zln7chf!)8{rY!OVAec5X{J@<V#19|eKId-&7g!gVt%LYsw^fHok{b(r_|<x@wA~ou
zd#*|N1oDAWVdMxYm=!4ZGvzAmjiJN+@zjq@UeMakL<!Df1OK4khT;SrOpkt6WU%vs
zdDfXk*D-eJYUAM?Frx#bdD`=DIuE3LAn6=-;)E#5;R3yCBhc$3_jm5%fm6DCt&2@u
za6OxLPa2FM=3KqSk^>J!u+Mnb@8N;AdzM-?O@?6mZ!)sXiwA;o{d9N*_`v_ex!q>&
zhOoXMsr=p@9=QC>Bj8vkKYTlt8D2ML0LdmTEDdbDAaH`sL-3^_>}e2Rj5=)qTYRgJ
zZn?q>8$1$NFMJaM6JeTsfwBSYQKHLzwB>_6U+lZNmW4rj?!9n&BMo+qzc@{i<A*o+
zo3WED3QSUpCD%h}K=0WUaY#l0V%ZwCM}5TrhYrx$lxQ$lAsWEM5QL16r+ZW?#G#j8
zS#d`P71CdoMcAwp0;i$JvoT7NFzFL-FM5Lt1@3?QzpV(t!~#Fl?p!IbNN|>I^Q6L$
zw|q|~-wFd?z}MTn)-urE{By`whYAn*`x?dzML;=0YNX_!Ec73Wm7;M_;hsybUtGQ@
zWK>JaSiY5q+<e!RlRxx90Lon)D#U=3ETm{#qX-@3);PlsefS>$0RR6Kmw7bRUl)hX
zW5&!=ri(jqFV{SLw~LfiihfZMNr_5SWDG@yP!bXml@vwDl)gtLr6g0PiVPV-hC;^I
z`|n<RopsjPXYJ?na0OQ!9sDW|*7gP`1BMi#Q#$OmcN+~>&N9FBNJ~PK{Pxomi%L+u
z)iv?>R~j@sVHUSeOF=#J`224f6)20AxflJ12E9sxFCBZOp-Mc9HFUcwbmVMlv5=>O
z!CSvqg08aQQWKc79!Y>+KaTG-M>-_Q`qnwD$iYnmp%MLhH3-%g(V2QchwV12dOM#g
z!0rATZ&?8iDCelPRN&VJq7IH;87qPY@d>fwKO*?bPjuQxYs0_C-HBdAC9r#`lPH!&
zg8s`k*pjpk@Q>)dl;5HZa_{e@5PHbqF?V5BuR#aG&IW1sZQMK8ZJw=`iwX|}mtEc@
zGT;L0`AU#cg}VY@M$%<8VcV$Ey|-s{VO-fpuSJ>wRlP}a(VMiOc&th~^Q0c&4NFBT
z5^7NX5beur)q<2qo!mv?`cP_||FWJ>9sFIdx*ny|Abi2U6nkU<F0YGx+Go{)vY%}-
z&WQ%XKk}3I4;w;7n9P&acN(xR@_5+JnFc;yzvA*K#=w<S&Qf@V2w!a4J}Vj0fRTPa
zB0JCo_#Sv9niEN&mVWfv;SMb*_quO&`;95&RP5UA`j7;Bj;Q433}`}>2)m>nCkFZ-
zB|jOlkYUhj_)b_R6}WQ`%^j8oVCR&H`AH$eSe@VZ3%nE<4Y`!%kqc0hxw<ExOosZj
zfRITY60q@NqycGjh)PbcAT5)?lz!(|EKvhyh8raD5OWZac<T4~HVIsH5=ss)5#WBm
z+2_yi%)yL$x?w?(1d9#t`>HBbU~6F4frS-w$hfcS;p9k!b&dc^ub&dw*kPMgrJ3OP
zWG&GxL<4LZ4ya`ZC_qx0TeYPE6Al(>jAe(b!$GIQwh54ds|~bW(t=E|jwWW<daHpc
zS$(2vzXXg6D?}}in}c^#waRZMVPh@?_rVXMVEj)2zguArf}>+0e1fWwI`yGlZI=*~
z>dp)e`ES&B6fC#5D#N(P!L`gDUikI+!M-H2IVf4XZDvVR0*iv-KZVAeu)ifp-k=L0
zIMB!Q`e8*Fw3T>s+LIN+U8zRoivR`Mo6T;yDFCVP(E5@4E10kL(RycP0DsAQ5BJN-
z!2|OF*};|t>{|W#z|Lq4rqfTnZulb&L%X}iIB9>dHxJ$&HEb{g<FnT315=WK2I4&H
z(`PXLbemh<+-C6a(tjQM1SEj#A=3f>_#4yb=J=>(V+!g&6?~uW5d-N920Qotn#6W`
z7w)%7GJ!K!^wZ*Bh(dfE$BTD6Co#{6m90aa#!!0o*4Mh7BH(#nm)+pSB&M=zHhMwT
z7!+Mro+NPygT#wq${nuXSfD<~0f+NO;N~G49EuBoMy_(rp2%seJGFBqr_m5xe^s7N
zsNn}5(S7ez8fUNq&FyS{s)nF?j(NEKA1@eC3kY4i=CF5-HGv-@4WRW!X;PLy5A^YW
z{m{no7dzujws|<L55E!|hLtqA!C%1S@Asj3jBBkidd*fJ^hPu<=F4%xM8%kO#@Hf8
z8Cr;VRjCJYCwLEJm~n!icaKtz&@yKH_Tt>Ah90D<2D4;e<A9gH#i~s9tzv1%ngTqt
zbb%NsVVWbv0ZXq_J2b1;F=u`8Y$FL>P<4f8U6t%`40LiTx3Gdo15d@F8w@a?U{~#q
zWry;u3frU4vH|{v>GN5P0V=EYYFESA!9(_#+hR96xSK|v$;{A!@1k=b^l!6+yjy3-
zxC19td6X`GRMmmvpCundyVzmd;z;AQpIqR$<QjXfR2!rojAtCs=YV+nac{5dJW$A`
zQChfF8$|OOAE{Ju04wojjfo>47({h(rG2M^iKe}F)P7Fr9Z4SLGus4$;te`3!F0GJ
zV;Or<iVFmbyu*dJ3c|R9?g9OceG7^K=0}&fAbX~F?VF)6*smW+cYi~JavSlr)>Up8
zxXBXY;2{D^-Kkx4Um7^-oLDPY;f3XU`?78GMWM2Nb(lq!28IG1W@e}Opz{cw?K!I$
zROCL(xKynLc=giS_g;Ruo0TXO>n{#N#2D$nMq0oOL&vuH3czi&QwHajge_}rgycp|
z@T?yC<*FqFGd@_2b%hjkN|cE<d1=CwtJ6h=tHRJ#_^)6oS_Xbue0;G_UK6UP`?UGe
zM1WV3MLFt%929PAn^qj6LeFU}>x?Q<@ICwX^_~O;7%}kd@u{Oiil=(u!k^6$5#arU
z;jReV;Tu<H1r@Sa9JiX=hyxXi6jD!C0-aZWyDb~3z;(Uv*2QWGD1H~x?%t*hB7Y6a
z*;c6VYx|>yYg?rt;DoF5e`=~AbNS}iYCBD!dZdsy|CWY{iQ2`cSOU0O>^*+^qb8&n
z!TarHvXHW4>R-pQ8bsV!o%BAd1vkCDJ(q9FLn8g=+n7KN&>~uU%Mob6pCj~Z$Bivu
zWG|Z6w?+iNjx%G=AJL$Y_K<5^ha!}CRjNlulR<39KkGVMIs|7J8759BLDTvGUk2~S
z-rh{P%M{QC=}UiRVgyux-!De!*+or|IV=D6+oU!$YFMnN=&C|^^=XrW?^@t-s){4^
zw+_%p-=$f)5g_pO_U0oAH2C5q8x$+53zw8>2X<Xm1LbPnxWLVH(16Uyd;9dD?rHO-
z=n{3%y;04Y6+{QUsHHK7=lamBa*;UFr~$GZqJ)|nI><h7`@5B92tQu-V}&h5xb*ya
zp897x^xN`XHLNv)*4-EOUwKIavQnvt&NDhFSp14vbTEO1C6zA|v1AYtX|en4Ob5zG
zH=FoLQy6zElnSI!z?W~OMyG`aYgklePA~@KtWOEYvnlWucbMNJK!cE}Nbk%*fP?uj
zEJeOiK&GVm=2nU(XlKZNz*IN(c7@@yqdzDR|MALc$}kzqca?P>t~3WR^tpZOBMOk`
z-k-DE;Ez%B6VLl}Ce-bFzoS{70&nW(*PSxez%zZ<x>N!a9F}Vn_FW~z^wv#FRqs{c
z4SuR~|9d7p8)|U3EhIs*c4I@%q9Ukx=l;F*lL?(ww_>NWh){jYO2jZs4pOZPQ{y)3
zs^iPQJ3KWYmvG(C@~|YlO!6OE`M?C5Gura*;_A>>l5)weSQIV|o-??b!GztBt^GEI
z1lVjeuylr70LYMX!r(t9gc)!+it4Gt^WVFkpQ+~r{RidJo7kCfChDhDQMEGsY08aC
zG+M_5y(X2v+%t#q+NyYlxe|Q(UX9E0{lzY5n~eT5GY6(<Guc0T3-n1grEkk0!|I+d
zH|}c(;LXQ}&wP;sqIPDyOj<XF*PPvKavVUTv(-{uO9ou8T3rcEsl?)T$0g6sVsK)s
zJaN-gNob7B^ZAjF<BuHq`|71IFg%_0X3GI_kYXsFOY?2P4<6oJ)^2VFTl1R8!P=Xl
z#~SYmGVR2d?L=E$eN3U*aqRb`!3K}|EYxt09=zdU3xSqv0v~_<#hiNtAtv^^OYZR=
z+$D38P}E}#PCVJE^h|!x4Ydf>{@sPsI!EJKrHx@<7nj)kQXXIr;$t!ezu>D<i^s^$
zMsVYyC$ngSBZ(G03MwkCII0j67RWb*!S8{z))sb<qum^in`^{>tlnz4FmC`~lWbMG
zn^>Wc>}0xh8{uLRY8?hU3}C<QW8SU&EO41LKEH740q*%?*Sy$$eMt3;Ik}g26^ou5
zTa{JI#}r+-KXtI{LrkR6TIh)-%rDe%xBHPg?7q|YpIeXXfndKysQ`5m>q=4;DiLhL
zmK!Rn^_z9U>L$Jafz3STkhSJs;@plIyh0Ko#=5XvH6#3}>JNrQ`@e3X^<dHI-(@Bq
zGr;S6-xo8#IV@JFUSnvj53BlU$a++f0f*L8?>e5E#SVXxaQ*&s022+wKE6)Z0me>m
z=jZoku*vxj-CHfgSm)izsVOlXnD}PB{k!N4wjx#Vnd8kUR(I>w@`n^{$TCxBNS01x
zYWNqD*Xv&xjK#WHN@>H5q#shQ5z|=5R*wGWjwvk2WYW+wn+~m&=e`{an#Q=YCofL1
z%wQqKkIB_UIvmNY{~UIE8arXIjnzGW7PEe5<(5`K1C3J`UD5`ovD;ZL1f?T?FvY#$
zDb3qx@Zj7@d!1b~Sh;ezx25hpR$Xi7@@#`U9u4>YxPF_#o?<K^M8YCwT3gC~a9k7W
zmi(nklV-6d(=tv!y(NseO-D6ZQ4=(jO<j#W=CIfPImLXZSFq&qG<HX4DqMFdydUNA
z2iw9j{#LtX4dV~*Ae84&;NR*{UP{Pcto?3e_N!+sP|AFgS~E_DYb?Ke`_MdA#<<`e
zA;kufYkt8o#$>pl{k(AR#vH2^9|s6#vBNtNgJr85Bp4mAOR|0Q4||o{cdXxn6L5v3
ztJGN{tT;b(&5c>c@;j1Gmk4u%+2hXYxQ#t@KJ8I@PUtFjv(vi#GB+>W{2O`U<y#Gq
zi4?UI%wNZDd?}TAOyP$Ujuc4?Qw=ziUSpBY!3sMG0?ThN3&0y0KDLq<>fpEksn&4^
zHgM^*r5@)KhKEkC4!p5ahy7mjvKjU4aG}`rAg8YgJUss5wtKf4q&n4l$sXhcu5GR_
z`2LB)Cy$k*`4`lntpD9987XdPwzmF${Jt2}2}Gt3s;a?<)LrcSEWB{iXLI{Trh-o0
z)RB@t0@Qyw<C`bJzmb1uuAL5$g35(GW2=t{P{va9yz{UCc=hvNw$GD+N!wW@y1`GS
zgZVZseL`?uJge~Qx*Q~bVK;dcLI9JeTCBbsxwOWRHrtZ41-J!{Y*~#Vz{x6cqsm56
zNG;eU@Q$Peb6-XU+e-+*71c8~c|r^>XY;Fi6evTcG+7{hnE<6mnw})81iX6tV7r{9
zD#T|d%(-rOLcxxo+Z-gMfOMUrkiOw5`_ZwJ>s;!fD!**KswM-sPN@;De^7^037mav
z?dmXiWp0$=DhHBw-L@CYh`{=+$tB~f2HbdYOJ(;f1&}d4_rtV=46pe<NZlcjz($>K
za@PYzAoe7g-K(L(xU{h}wUP|QpIRLg*OVa1x_?yagBJYheKX~@;bFiOH|FtFfuE1Z
z>&3=tAf=YQ9d&EL{T|_tPkpMe=C<k}H?)!SeyrZqH>N|+{?@7|Zffu~?aj@?Mr|<6
zx;P<QqYaTKc@M6QsKWr^XO!^`9q6w;cQpSb16ZHT8wYz6A>iPDPK$H~tY`R}hwjt^
z&kNUoV1p!}W}Q=Z%V2<3Y9^1OqX9(eBVwN=1&rdUXUT{Gt`$XbCoUO5*fbZp<T4e)
zukTq6PG<m{StI|>S0+&Xl%wA%RTF$Tt=H{k8PH#mbxM!}gXbeXgR!TyAXO-G8=I95
zj2zrKbR`3T+|z_lu4%!LJ1NLcQX95a{bb*gV-AXyl3uqIX>hDA1r#zi^2v|Bpo=j~
zcr&W|c1?l?-OQ*($LCadUK;SA(8dCG#lLOIf29RSb(FoidWf(Zw|;lA&jK8zhx+nZ
zHs05rUyjsB088`f!<Ckn08&5uPES%H!!S{A@|hC!pw0iTT(E?6bl6-hnF7CB79vgu
z$pY*iZxsu(gp=ZBhK@@lK;>YwSwaki1>0pK4p_o5>Dh`WIz$*kLkZFye8BSMM^mhr
zC7iw#-k@Qt4z1em(nQBK%+7Q!B)ilC-WpE`hVCK2bKa{)eJaD)8mr2x3}yij-dh-0
z+Nl7#7A;WK{smvoHsQ{%-SFRIvh;KIN+6Mcdi3J+S$s6g>Bdh66Eth)cWJ*<fOlR6
zR%;C_xcZK>f_n?hLDqU*B3e`ydYRhx40Se?QXIU=Ou-z2ZUwC}u1UgV!+TewZVu$?
z-b!4#2@tN?xO2-kF%Y53g=7_Sp<_E*Z}Er%@R9yXYnq8bL-`guYUV~>_6c?8)G&CH
z^ChfkWD^_-ljF(t=0WXZEWLd?X0W#IFsIkT4L^?SGW_#+(1AjO+7q^>(4TL9fK8Vj
zN(CM_yh`CgAxl<+xQ_{Z4Y_=_TY3%i%8d;Cyq^ax`R^Xyn`I2bjeNKBbLTPc#J8PH
z79Qkm_RGV+-3Z9e(j|#Me`B=a5Z#wq+~~}>ORB$^5tz+9L~?V37!BD>#F=oT>H3i7
z`-cpHV?f^OZ+t7()%M~O<tG=StUo_>w9o)tZ&nl^I2?hCU&#*`zsrU8n}}AZvKxSS
zt7~%2{T6(Dpnr?Sc`mfLH=cOXRUaPpPajgd+>ZzO^*h@i<w9{^FEZL*>w(p>%G+~+
zBe?vFS{afb7dn@PiE&W%;Qi%xy!-Pce#fupl+eccn#{wtRkwBF<`!~1p=|~~#6>0H
zvs_4->xak-Azd(FpSs==`v)%wo$O5a<VNaxI-LVC3`ji0%X3C*0dF~>Q2dsi2lZ?!
zl@R7;z*ty~#B%IEoRql0;#|*zp7@{gqQ~h#a9ma2z0qY{FLRl8_6aZ2$ue6o6V-vQ
zB~e*Drfc|#{!|Zr#D{K#-=P?1YlGsSeWz&KS<o(8ZSLwaKQgQ(bZOJIVc}BGgl+&U
z609}l-{CHRJc5nlP2bU>=;pN-y@hN@?&so*ZwrDb>vQFvu%mR?Y<rcpd6FFkbFhEx
zau!BjTDz-Mx#+NSA+$2ploMT^y1^UaD1s=ncBIoqG}s<$dMGQK3n|gw#;BeWMGg|V
zH}VhAz;}Cyv!Nsp(s^xVCZDw#J<w_K))L(C)72P8Sw1h?#r2=$_c1Z_!PilA`kEHV
zlGB@ZJMg39@|JZI4iZS?N?5L#*oKF4gs|Bt3ZU@=WgoiwB$1-@wIGpvO+eDCb>9Sq
z&_D$xUhAqfN~^VX^w^;Zg<GPZ=Uf*?dZ*TwybsDEZM(stW;RWTvhy9cD;7cV`^29A
z*d>oVp6`)$YNo=CsfX7$4T~as|Fwm?$G4#A;^-{LQYut@yy<C27elzx&l*abBC7Lj
z@e3)T0(%8ldswPC>dm}3mCUJ(b}c<Q`ROASu*3+5R&hy0l`{KSY@>qe#G<xT@Mwa=
z8?O&LiltEMv*~Nk?y4e-%J2VHJT*a4qH6N?F&Q-7KM<$DtA>8e?MkYh(FCR%+fHsn
zIn)pz_x@3sIy(94Re?*s78r7$zGA7afO1gS9>H}D6vP~tGP0(@r5o}XNlFn_*P;*2
zQ6$vc7TEZqg9f?<i@_wK5_0AURumVYpnKnT-AIj~L+>3=A9X8b6dkLuFED|Myl)>R
z#Mx>?v%QEetCtGWTlj1>y{d`K509uT8t8zr>cgO(6jgM>!$|xGk%nHncJRqtF~IlF
z7gqLH1Qf=&?6I$ohVm!xt5~1a1&6yi?qd^bs98PuN{SgBy?(5gELEoms()*eq=Yrl
za+}2Fs0=zX7S1m{OE!R_drE(-2t=e^w$(%S6CF*>FME3w8N!NT<G*tR5_&eFC)M9d
zM*^G7eA&SmMA$@3b$H3h_WXs+#5_8B>890vzQ+U(E)KX%y(6R3j=TL{n9$K>pJRN6
zer7N_Tp8`^OhIpK&DH#}Xeeln^z+U#2HUO_$ZSFsL^V1duA8KVl6YUgvMLAIBtR>#
z{zXBDNA{Gtgi}#i$tkZVPUawd)_^+wm4X&N2AfJNkWqJq%i`~0b9lwx^T|A!g8H*B
zwS5iIKsh73Y9%*3Zj4X;$mLBGv?vqJhm{dfDRyuB<9sHF7aSnJ-$h0)3pqRsUzJgs
zdgaKcZYF%VIGjLqA)$xc`=#3j6;ZN$qKL^P69i6l=6ISDk+J4u@9|n0bZaJZ_og8x
zRN0*W8^EH0`gs_B|6Yird{buG(K;qHvC238&Qn8qp>8YHIwFYAWrvk$EEDw8dauPX
z2<T5ROX%_uKBQ4`IYb>}g3Lh9<Kk)+<j$>J?;FUDj3}`&`6K3V;Y`RgIWuMSe?4#5
zvy7YE%_-R$Z4SwY{?*^ES44teBDQ~Sn88CI_H!{ec$AoBn%`QafU4OJ{TJ^rgfDS&
zyW2hk_?V!bZ#5~4>cihQ7Hn?8`9=5oT;0HRV}#bfOgm|mW69zB#5o)*scssyEyCdL
z)h_nFuM)^N^_&~N^d1XQ8ePBDW(Eo5z+9`FV#tmqYfHUO2ln+tIK5!i6w>Syw8Dc$
z(W5<+#x4`xShV}0dx;cNX!|agzmO!1BC0;hWOw#r<+D5TCS6THt>W54#d`v1^Y0xC
zg^9gbg5WcI$=k+|>e#dGV>ln;^FP^?c%vJWtbX}WrPm084tR-hJmW@hck~RL-}?o-
zDrohVL&*q~FBilL>2RX#JFHd@Ra&tV-lc&zPa1*-fAi7GH8w<J`&V@4b|dC1Ql6Dp
zYXHaBBfi84v7(6WqO*5|5H|F*z<gozMjq>YskVf#;T(~)Q#yTl7~R(8;C`PCuawJE
zv+r2O6}8Wd{8v?gN3pd&zS^t@9D4VCo;v))+iU{<<So?U3f#L7yEF7)RlBN%!C1iO
ze!m>VVw!MU7RT1dS-Ma-#cELL^%rmL&ZuyWX~zp`%8f?+x*#7~tJ3^?4);+A${Dlj
z!R<H?IE{rc;EwgquCAI{{69XQ3YoP&JfNmHJ!Mu0Vi?6l)^{_w#W{bjhMoc3`+DI{
z`I9<uc60tUGr<{L|E<+jMb$9AjZ$^(_?R}VOK11n#!ll?<02-ZIiq+@R#V6UFKvhy
zw|jA)F^%IzBWW=yzwjGwkyCwBbnwa=e-f~18lNw{Gq!Yl3NJjGx^Kvz4wAJ2Ihg{}
zxK``DUj6rJ{N^)8#(!*dc<U_3xTZUe^Rg$?4Z~+~#j<k}8rNyyESw#BEOMh?`=p1i
z-X9zf-Eq%Wg$C8Z;;ye}r*WT$azSkz^Y~u>gz)peTHuQeTUw)LaD&>P-6y9P@IQIE
zmpXGbAtJV&#5A786Aw#JvRD7%RtaSel|59r&`Z2;w0RDXcW`dlOJBje+(u-iq^a=p
zY9+6;;2+$;!{_y@Yis!2=?dbyGX;`Q(eJ&a{>51)Y1G%(SkOz}=i4q8kT?FxW1kVf
zc|0d=XMWQkRwR9B(XxD*1j<S>0WEzCI5XMla%BKJioILX)#yNi&m(qDWBwa+ce2>D
zB*%$zo>CVVH+;pvE4*9Cco`43+tXt^%7qR+^h}MDBSOLQgF~5GtN6&p%tPhhc+lKJ
z+k9WV2E@8wB)U4T<7#|;D4LZY<raD0_hZ+9U_Eo`j;}1}cyjQMV~zsoNYr0?&n0yj
z3OJBNps=CsH7D-cjR+y0<>5~)0_q?meJ%B4COb;^e7W@ANd&PErZ1S~szDyh=jT;)
zPUI#`+IixKDAF-1wlHL>!TJ7`PfAl<C;;3<LlVSLa9~Qp=HCQ}j*RRN>)=6Iy(hZG
z-6YV`k(R_`8(tZ~7?e-^#fNmSu7w{uEQP{8SZ|W|CqVXbuCqHB0%+n6i6<al29b&e
zGa?)aP=3BOa;#Jcu?;nMog0-ys?I?pJGT*_-O%pX5q%M45U1ck4%~t~&JGyYZ1hjQ
zHzGYO6GfG#BZ2ISN+{FyLGg`H0`!GF__1OyhE6`=ICCsp8P)G_+GNo{fGw{NGb1D=
zkc+n!u4=4`?wdH54eP1F?su(01Xd{&Np9ErGfO}fyu8Ntt!iL?*@hG?DuZl(B`Mvi
zS4W+lO-qV7>QGj`GXK(64t;8qy^>Z;MCs<?jcNHB;2fSOL@!oAHVOsv9Z$*VrLU%8
z>NF9Iw#6wc+)+d=)=XaAS}GC`{3o*i5*f0tiYc96P(o%Y!nYMaYoSY)-!F-JQo&>-
zKWOU_6*R#0uqb(oh7$dLfAo2v1u?%!-wJwF(dxUDS54z|)c@(O!(nAQn0UrAd=9Ij
zfj0YVc$+r5M{raN%F_ldu1|uKBkG7cGx4(Vjt(krXmGFmj{(m7CquuUA|l*KO_mK9
zC==EVJ{#%*C1?2Q&QTJw91!7r`G|pHisr7_SsTEn7t5NjY&Uo+nC%|j%0PR+D36Qz
z8$tP;DK#*Oikb$y9_%b+An!|UN7<`P;P>Mz3G;cHsJ5c5Wl)QO+UTQf=IdrKr%|t6
zAF72OJ^ed)+DQl5x_KPExZ#_b(yq75cxWhaQwdKFNgFjBtbKYe*Bl~m?(iui(a?Nf
zhWoz9G<0z9$0fl8Cb&0-l;<hY(7o@RuRpg^(b>QEH)-y%04eXeUh6I`q%LW{pz@oD
zre}x3xJE7Dv+kR3t>Rkfz=*J*P$vPE<QeSm*=Y$Yp`Q}HSTzxwX~Mwn3MDjpl=KOU
z-0)4?icZQs3aSj<R8`?8i@K7J+5fs?329G__?9<v%Xgps?R(ZYqhlR6<Ask}f^&1-
zhm$}=SE-yec?o<-r>_0bWqC{BnV43q+NX}R>N8{d?yTa+9{uoZsj&bQ!ER8qpMauW
z1rAU93;<z3p1<N*!3yRlwpxH+X)q$&tDp&swD;R@_h5Ie<#qYrFoFBS_7^htO6Y$8
z0096043}p-)qfPnWoPfb*EKHgwO!+PtTIDMQlbzM3aPC8g(9R>R1|3_A!Vz6UqV94
zC?hM8z4!k2^gKD|^WeNb?|1JM#{_-(B6g&UZt@Jp7`XS*CE8Ytp%m`J7QF4-Sj0I#
zTgCz-C@xfaHb5tgCP(k>5i6tyw|mcLLCOdmb$DvcBKgr1Dbw3uPSSz9d)N=J`v4bs
zSM$8cJgEQ5CAYU43=nI=FSyPFaD64Oo+!<U(gd0r${iV@&oqVojuHk1D++cDuUJsg
zwL%{Kc}6I1%$`51V+i3-uje%+GN3(H{&iJ^y+HXAq?K%E0Q<W`e<x2+Bd4%j^F{u>
zphL|R^*Bf$kXB5WPUtp%?pOT_`yNJEqJF)HC0h>+i{0nF)|YW(h7kNtG$YumzJD&&
zMS<RqRojf{8T^}Cm0O?$Bk;R3=PL<N09tDnMXn6t><tqHL&N~`oSzLs+;pM#T(jRd
z=5Ki4eW8VDUj|rrJ#OIkMhCKV<+8r{<zvw)<!^5&FaYD9N8-*5IuJ4JtPwcefw779
zpXu492mCpM^q7Y>5Ry;eKI9?nT5xP}(gHnX*~zYDH)sL%>Co7Ajd9F1>X1VzEd!t*
z)k$PEEeJPlJ6-c&78CUU;QvU60lN1uN7`p=g7C<+>N|V^tBVdgN}Iv}_=sn46R#$i
zI$pN%ja<f-+25C1vM@q{UiPbyn;LMTG*0O*?;7@G<zD#X0!HxCXR6d<(|~b1j~Sbk
z4Xl7}*-rS<UJz&MF4(xG4r$d%?%iu!Shb#gV9yyQkT&GJ_+CgI;*VQ8Rygfq9b@ri
zj#y?eKN<HTDpw8IxF?oR^-@8o0DCKM6AO6sG~9F4Q-f(%1@;^cYDgLJ_P=1j217yy
z%}(uPAg{)Jqp_g@u5B&9`95}VZrZ8NKSu`Pf#o{NU0PTpK5;bd<bdjBruFOGWLOvz
z{rGc=4qUOs_Np#UxEdwuMto0#kGJ<xERHb1S9xvahf7?LVeG{=;X?wpXUwl=IvK&R
zGR$3<$OH7hLJrAEkRTu>T8cN23F2EE%4z=Ng-SYMN^!X=Ts`S}XpaI5aC(_M2wCET
zh*MGSN}vkQ3>8n$@3KNg_33i%>jGd9aqc2RmkNZ%Z@P(Yu!CLkdZvSc5I7uTQtSRt
z1%w64_c^n2LRy44>wR7k$hg;E6@;n4WOP7|uNoJ)%Pc8!aEXEWMXlCFE)_U;<El=*
zA2$SsahHA-lz_<t4bSR#lp!{Qs;3L_fbHl!^I-!?VDWf3RY<1-bSbn|3q(Fhs2bvr
z3z7m>M;gTzMHMKEqm*jA<A?5X-?qLgX)ri4D4B6y1!y-k%px5G;oaHLYc{;H5Y|I%
zneJ18J@O8ThdG5|i}&d-o=7<m-R)}s8>9-78!Ibc#zkN`_~qEWMFK=`Ev+mHlc4?b
z7`J_&7_=4I7bpcPfadT`d7U&8+^x+YJa9n*q`1vsZb=a$4mI?yDwAPNHAcSTnj}1{
zXnuYF0ujEma!nWyk)bY3E=~KX6fCH2B->3X!=)4|>7ONP;9GtE<hcfEaMlP2$+T64
z^A8uOMqa9eZ8n@WpO=BVTe^BWmL#BFTFB`7r~wku;bq^2<RBV5+(YOj!9k6*XY@;&
z;GZ#YOdkj!L|qfmyPpi*k8ad>?$-v3MRL}kWAear#w^<PE*XC8yD4m5q61xgMZcZA
z6rlc3f!tC#86F?JyhPBUfQa^?(9~m!Ky}3C-jmn=?k<!`z0;rv^^!@7>SQH2$+j8(
z)0Ye)zc%06xEMfTtbP8kK_w`6iHY1<Btgr6KYh|C4IxY5o#In>B2@YXOYxeKKqay4
z;+Q%BOWWq>TknW~R*etOe^P-G*r*Zs12FJ0D3zm`2wV7D-sLPJ6jbg}?u#&j3*%e)
z$6gU(^8mNGnwlcaeQm#=v}*)%3Q@y#Hbh9@Z+oaIkpTN}-fJH`jN$aPWXH}jCAj^2
zllEYP3|wPx2#L%y2BT+QJ(MX$*ygNL{k|m$f-UtiA??PHc6&iPVom|f8wM|z|0f0o
z#0Q37`iy};M$-C4lRT_nGcKpH6NJnxsXN`x#$aDoytg`*0IsjY-&tJcf#i&I<%Jw$
zPzzd+w;{-Zhee*e1epW;AVFmKv@ztIqEl!tmx0LO^`ZJEMiBlxp8ZPD7)%~KZnZa-
zhTMY+p=Ye9!H(y{M=@jswp=Bh>P?amUwxmhvTPmm=ZX<WE=J&=F3{M1R06W(&$Au=
zHHUp}^HjOB44~J*aF=dW6q>J}>*sj&2V)rh@l+rIK=?=TnH3#jxXG@mS6|(VJ$w03
z$V?Pq*;&l(XQ2R;tK2q-P0YlKMwiLTCoyn)CcMUL#|O{EQfMl#*5DcPN4$*^4B=PD
z`6t05Jiyk)qSSKyJ8nO*Y;II$00AZIJ4Sq5!1EvBxPnFpz9nMXD?Y9d2g?<E9~*E$
zLgHwxqyG<_yNk)#M?xRI<kHbcOS6IyYZ4pn!w$U4aC5`mMGuCv-j<q5F~Le`xN?Si
z8%_tmUWjH<V1%0lp+O9=!Q!pws{0iWeldDGZcG=vmAk#%x#-|EWjN!rZ7r@6T>a*<
zmM&;%-3<D<P7SAof*L}dit)4%)6x2P9Z+_u7`P;}2PD??ws>z{#!lySpVl4HhF<rw
zwQj*(tk*Z@v2$iQ_Mvs|>qAT%j`0$=$B%7c8w@n+X3`B<LoRnwWwsVPE?p)I(QRO|
z^fx+vx!N$zP#v1nj9Re&4oP#1c?~-~Fkwj$>%#hs{63ry(uCJP*T>quR<P|NE+<9R
ze#}<OpQUt210r&MeR$5Xj9Gk>bl5L7gs~oO)?#<m0JF+<7n9vZEH<)?ltUW9BK<y{
zaQUhZ4%#9&Oq3U~H>T8d1!iLy^P;|XjJY~|mdq&Idv^i5*PWmG+H(?9oZznV`K$&9
zZ__`nA}?SWku7eccW1EXnvU5G3pLnetQ)25&SMjIoxU5+%whY*?JFd|lVRw#eU8Y+
zJmySw(p4&J0n?{nL@h_jP}wZ$m?ge|DV{U3J?gQ9*_oUOT>47_=Imvr7k&#^LW<<2
zF~b#Xzvdyf>laDj<udZ))zAWVy5uB}h{hWBRN!sLf6OHKHua3NEMgIxlUnh+ZoYxp
zsHG%TnyG@`Uj4+AhD%tsO@kWie_NO>pDu%X*uTD@Y}VJxEMwQ)%~pGcb};9l)BgpP
zDFdx)plcX;1=CFUV(_7Y3QQ9W>TYZh!RZ=nUWVr?7U&|H>mx!9cdL_v?wJyS{sLoc
zWz8CvU(@^kaRv<xl@GR7-c<tnpf%G$%MDEJ3b7Lz&_VYYT2q-(gmx!^rrT6oSV+Y0
z{_`{pFkAO2h;l#?)&$aHTmNoj>o*Ap9{%Gr+vD4(bxRe1iuI^;A{7-ZzPwoC&%z7|
z)h%{eatd(%c1+J3g*`y*zJ1Wgi4|rCPeoH@$%Ep>Mta`!)Nta@4V7a(?4Xwzc$QUK
z9u6$nP3m;hz_s70u?1F~U>Q*{_~Z=%EL;iHgC2CiQKp&Z+sFkBJ`O(376fQzAp~*q
zGr)-TRd32!9tdwI4Sb!I1Dev6DE>u82=(V^V%Fe;?3-6Cl%L8$mrnJuh%F|tG-%ox
zlo5b^luqoUw;Tkgvp-_eW`)EViThPXLZFvW__hF(15$}zbk%cq$k}eV5SJtZ?U4>b
zca`KoH~#Q}9s(x_w}$5}Gl_$?u}SR}RXLFL@30bh$OZIfa|z1*60mZ}wTjkO4zjT|
zMs-ylC>lz$Ewz_|kz;D^_Q`V4{ez}}{FfJ!CJk<d4@yJ5ZMMD6f*c5G?=6|B=7&#?
z4ECl8vT$8@fUFlqfT>3YVXL16L6O1Vcfp1Lu}2R^CK<|u->9AKscB)T-%rhAs-OTp
zkyJU%8VcZ(nB{-pPz<WNE+4)upaiU6AHJ0ER)n&P0zHYxB!EEa7GCC6hTPjVY^g&^
zP(6J@|Mn|Ms9@&0{8LaBJjR&?NqNd}WO($$TPA5>`#O@<m`DP>O^X=oFRH-u_Wb1j
z%QA2dCs1`=B|~D3m}<Nv8T={U?BNTtU>scPj?Sn-P4-s1Rk9jLs=V0}I!^#3_vq{^
z4RxRj{Cm+&NdshZ=%oE;<iSl;yE~{`9ddMdT6b48L7GngkMb!+@SQ&Sf@G}$`bir(
zaZ}pR*Y~L*wMGdn417ygqBLOf4$q4z8VY>qx?y^sRv85O8LXGjY5+}qOZFwQK4jX>
zW&4V#z*C`sw{;8}(4{+#x;+hH<G8L9|Bec@HT^MYvQ~#`86zf-{QzH#1|OYzqzWqP
z=|?^E)u4+hz(Ca62&hA5zSS(MLgK{yU`{UyiUevZ*|m+~(C4I9>s3|A7#h%i5vT$`
zdwRaB?ixd~Bx_>mGgT0tOvH@q6=8VDG|)TK1VH-ux9op=wb+dL*?Z-nWw!b5F;-I$
zQ#!On%b)_6Y<Z?G^h?1-?cS7X8&gnZ^A5aJPlS}gE&ZuUQLwNSHFI<`1=J@Zm%m>L
z6h(WT+Y|Uex>3CLgoP>ii?C2(X$s&Gnb5YG$qtIL{Ig?hrtrnPoT;#e0A{3X&(lk3
zVCHj<*?gG^s4N*c`gO{}39Fw@dDM%Ti=P`yx|In`nm=h|9g+r8OFMCs6Jb-7SgGjm
z|8gxKQZ1d91a6Nl@#kTqc*R^r{&{O-&>H5b{7fSOho)H*a<8r60)$IVJhet3DLP^v
zc0>dmX??oe%64$<<HMJ`6eGyaVEXFwQvhVjkFV}MN{vqV717te19&m5`jC*w3%ReR
zom0-zBBqjOH3B4neHEBxNCX$$iPRU*tffOiZ)i7IPhn7O!SzJ?C_7|!l?Ns#(4&IT
zDmNv6L%6Gc(#lSq3DjeHHXVoPQG29o?m&zIeD|=>dK5<oFPA@A_)XBG4@;<l{<%KL
zrhn+@ve^Tw8wMIe@9B}6kcYQgs~$AAQGKV-Zem=k&6G`FdZc^HI<1*b52DmO8+)~u
zFoxw+%ZE(#XuAfwRZS>h^?ivt*K`Wo$#hv`dq#(xW`%y0Ue|?O8Dhf2Gruv0m_~+p
zGddLahHA6!hYr}C^tH|X(}GQYzv=gTkrv_G?t$MGbl{vccH_a`M|e$GkvB^zEgGh{
z+;oo7hK#dc7R9_;@%H8lxBpUTQ7}Ux$HuT0c=hg7I-VTB!-*`ex8rCLX~@&}u$2~&
z*8;>N>Hgw1mL`cM4``8azhR72nI@cTf27*?brLr|-g2;}g%%C`>C=&w*95hU>C26`
z=5SqltXW!y4z02oEGj?JfWWUAMf&WE_+Tv!19b)+a{WN|5fIdX;B!J5Mn21U-J_L6
zcWrufc$M!-W4bytkDVFcc)f}rXgJ_)zDkc4WwW$2MAd<M&-<fwgX{RIAfIx)mjPW0
zpPaLKt_F7<H#qFrws3v7r1xuMjA+8U|D~XY8XRbhzFBOrgCDMJ;;<8CLS{B47oXIV
z;nCEp<$gUXG#UQu&CxJs^y_zn?6%84uJ;-)+UvFlRjV%($7orR%F`1o<{Kp7e^)V^
znnI13MPd$fzGp+1zQ-57c}M~|-r=W|?=&cMna?2Io&z1B@mcmYCc$yuEgnNDI#gF~
z&L4Dw6IB~tnE0<x71n7hZ??tLBMZB}*GzF-XoYpGk;PaQtX&Hq6POs$Teg?CX1;Kv
z<K^=ot=_4CL2+Ay-}Al5)U!G9vl1_Q#%iK$pr!)Xe;iBgImwJZI#D~?<?|uL#nZ=u
zl!3JlCBDK~(aD-%FDp9%l=|j&pUMekfaLh^5+>{@{mdD;3w%O|Eq#_BV^fA8_KWq^
zWgKWs{^jNKdqfb^l#e&LjR-rff6g!sb0P(|eP!>s#L&P~o*lE-M0n6L7C<A<jo!j;
zd!eiZI<hE{&ij}MC-hc4G-G*?%f@3-PDe?ULhZGio==3Q%YlY0+q~%K5m~*c2U4hl
z@ys`sUqonjc)ss*3O}k{_s>jPkVbXlLPn32lwnDgfO!}RqB*(R)9Nm=2y}NzygACS
z|I?GL7<OS~>1y5as!I;teMV#v-}lddACI*i*c3rTzIQM5PRXMSL4w7%{`Jqa_MH<Z
zwBo35<MU7Y6$SJ`!uX69Ckb9PsMyEfkw8&%=cT_TE1~w6Yi;dsNua;lko4}IB-${2
zFH$S3jQV<MGM9qLaGGVk@@JnEYQ9T*#__ERN<oreQXSQRn%?Y^ABPMwPZ_(+&Pzhc
zelyFw$JL>9pXEzob6M1=<oO~Hk<f7V+uWTP4G391`Yt_64z<^@e>vkoM)~^o-yVL~
z1bb)y>p8^)l(=$0Jm?D<5oTVF=j&_3EcwVFUB5hfd!wVjm0t}Noc2A;U#A12v2y0G
zmlcqBTIVpkjvAuUzonn;PJufY%62*z6_Ly0uw}Ni8hXOqdv26nADCl068yd^A+olV
zUFHumnp92+3daqAfv(fj^(qm)-=?n)u_B|UlYtiwp2nawJW*YhP8kg`pZ2{MOG1fN
z{@SHs0769!H$!ceQ6a@?!Jl0f<uP4U{HtaJbK*%AS6!5m(9b-&A4NozEOC9Ly3Gha
zw9c&N5S3BuRVN*HdPVfuKbFnS(HNAv7hLbXC!!;(0qG&K1e7(w*m1DZ7^;LUUnH{=
zQGk^vr9eRjHT^J+pV%^n&xTT``4yFrkEiYZhsu&@zFa5XSj+@IT&;6@&!vc7$T$X)
zQbkZi|H=0P5+)GtdPhB}RUYLA{H2$Y;YU^G4)LLMCa|5ul$#JhKo5z>7Uzgu$T@lE
zhf|v|a71XF;#iSI5;s|B^R6<ZI2ySWz8l66aEtG#wZ9CSf-kMb-85)f@VbkXhB3si
zpzW4HDP$=<cVhni297__IrhBO2xL>+l_`fM5plIXmY;PF7h^r-dC<!U?$IB#5`QX=
zPVsBL?HumIFWeqp#nu4yhvN#hD@2f68vDGK#Y^13ib9!;12|`~kU2Xqh{SS)w$~TF
zW23AWjP!T`4p~0w*LL7XgS1K3!QKOyQl*<d!2*Nu-*i@+e|S)pQ4O_U>M(Y=EGVqQ
z*AQyOnf`d@a3M=xxxCl0qgek8|4LP=0ho`d7pbOlpyy*^!yVIO*k9Gt{Atzt5af_h
z+T_WKych!f*Cod>$#qXYd|3~?-l&Bfr)EN(DoY&hzGGNU7TMF1qz5#2=SJw)=#gxf
zr@aotC^qDM<AL;f3jFkT)^9bUMWw5k<r4@am~$of4WV*f;O&nSQRvx&9LX|rx0Z%5
z`l7IFbF{h;?z14{5VDJ3+u66Wnly+B%va)WM|2?i;vvbr51Y6y_il!+Krbfr%(G0k
zP#cbWJ@XEaT*GObLI*BUcVeWD_B&h5+7N7)f50w(8TSr7b!m606~mtsW}f?L0b^8m
zGhmDOwX_+}r!<Y2Soq=FlkJ*-w~vboD$e7=7HfiW-Uy?z;(mS4P!sCQ)L*wX%;2RR
z!TJ8TUt{+AJkgi)HNfHg!d}UyNu2b>tuNd>5pT;P(D+DbfLHxDu`5>NI2D1W?L}TO
zPU|dUV4S87mnxD~ru9bg6Kc82>S;Cj8u!oE0Zw&@x)nCLb#nw?*)9KMf2R=-D_OW8
zouUR)Ee%Y#{xJUdKcAL%<yO4jYCLj|Qw_$9g)ipo{K3T(xET9)I`I2FG*^jfWKb&A
zE=dg=!bMj9u3Fc3;j1?Sm~nA3tP1Qc3EBCLo8iVnrAfWG0q%d~RvrmPi*D_NSN+EO
zg<6Dest)3Euas4jDI{1P5t;7H|BaJalT3r8hVTRa8u2FgRe^Zz>g9sg-?&Va1sakW
z#(!M9Y83QI1(fQhr}oMW;Y?!PK_2>laVlym-S|aisQCJ>wD!pmZg&~mEc7441BiB?
zJr$He>rmkJFzY|~8#h=ish+^uEP`pLJcwX=W#CJc#4w(<SWBCyH;tchvR>WuTnSFb
z*q&(<8^M_tWo>x>%;J&WlHDm&iV%HMm5$5&FHWgnneua;#|2KYoQu^_gkoAX&nuau
zc&~*LHF0tQcXZ^v`aNC&z9&~`ElZ5!X%35~#pz4<jjA1AuR(bj%TM1K?U=ydThq&#
zoL#}|yvCbM_2nU_W`OMVehNQ3yWhdjXAQ5s?tbP>CIJF}=6Ff`n!&XlQK3@$27Y{s
z3;JjXP`f-~`S!sa{v_ReYjk4^ABbabeiI-Ed%yWU;~$&HRmUXE6Vi9_eRc+!JA<;2
z=`lK<=Jbz$iUuxy(%Xab$ajpUkH|uV6Rnuf>=K?Ix_u|)8#QA8a5TNBLk8NvT&Gid
zvw}0RI`>g-&?22{<2kpE$iSCWnFGU**6<Zxo__NndSrdHb#e5c|E;OB`|+R+e7>mQ
zxPBrdvgxU=Bb=88c9)|JWdhr{d!Bcl&@U$BD<QaNh*27b_MCccQ?QHYr(HPb^zZMJ
zO+&Ssa;0GNPnCJF$sSa-)lK6sz=4FCOWJDwd8b_(lYd$VHQJnIy1tvui4bFD#V=YZ
zpgLzTt(HuSG*u|#bqBeTdVfUp=}(f7cK(K(UhqGz9pM{3tip?=_l72KCrbiXd$0Lw
z0wao%63hwI;YaN<vKpypB;o2?cV?<iCS+pAx4RN7i1ehZ<)aTv!n<&Vb&3lsl4;DS
zs2LSTIl0XSS^wt0k_`jBIXO_CicduP9WnHXRN#EbPZF+wmHm-?j}uu|+z+^jOQ2mx
zu7kN*lJFsHE~p8(5v9=obEkt8IyS+M`z%R<p3H5Bb}nAz`Dt`JfLR6|d%obM?=J<i
zkJi=o*!fXNm@9kQA6b+#Jp1A$k2DxEeWpI7BZwvp<<|3i38)~!VUPB#G$^Y|j4$03
zMkjh%JZqK|kd%z0+$nllkh*a~$BbVL{dJKT5s@dNP%G_-WOq5R(cShZc}buM%iP4O
zb1JA?^HOvhhdf-$R6V%WEr~o*-Rk;Jkx<n6n~muLitzTOQ0m!J(&)=eZ9~r_GO|Ax
z7fBaOg#K4=1d6t0(2OjLUu~fpa?Y|d=X6yC>LbG5p)cf+2!(b}Hm;7I28bVg;YfyO
zy{|vMJt~i8JnF0i-e@4U-}M1RU3JJ6n_D(vQACFJpP0*oG?Bk&K+KiHnqd6-r^tG-
z61s9c&>mmcL_0~OZsK!oh!D+YO5U%G%CfFKf1;*^2)u2K?2;7NCmQm1w?qYbwAks+
zvumNu5~_mMQhng%EJ#qES4AP}P6OF-ny8k;Fp%RA27~d%^nZg%s4h42veYdNRK;zM
zJ)Z%XeJE|%+CV}Qc~-yp$m;0V%b^l4QDYeT<m!82hJ?cP$BL}ak&)J5@Vh*D6QKV4
z@LTI|5_%xVb9V=+AniWCbWS=`P<ngN#WI_O?pm~EC#owV{1jWT+bdJ3awd+9DgWa(
zH{G(P09k}mL`EZc%pkMbjhw-!in=1Xqj(A=kbu}kOqGcl5DY@;UPdY-`c4JcBx3<|
z>_L%pfW8^TarEt-d!mHSj&}<0d}c=tEeZ)+bY^f?V6xfZjshYKe!M9&M}^dhH`-HP
zn!*pCxt4l&0&*+4`j_MPAkG_oqU$%w6ef>NZB9$dqPSR#!!|bKSjw>BU+HHiuvcj(
z`1n8mRA^B9HhgCrJHWr#a)iwUj9CNyf}TjAuH>VQ=UwRFt2u$V5NHfO@7zlzRzy$+
z{{gy-mQ28*5GvW+X#`2ygC}MB1kjL4$y#FvD=a7uY?y%&M8>V8@X_)j!a{!ZL2(Xf
z{#=$2QvhI@q^==!o)gWhuswe~!~q}mKPi?;14wUBiZ*Om(5qY?sgt&xz~o}gSOOT_
zwR3W5wxUOxY~6x2;hbR8%$WJd+z{f=e%u)8q(aS&-J@KQoIv%rG{)Q20G`Y#o)G9<
z#bW~EUHIKOp^!#$&E={-G|Q~j^{h_g$}_)z2I+7@iPXfKig$Vt(DmZSMfqMl0M0#<
zX5@sj@gKL(&Qc&sdor7QF$jC`+3U|_HwQ#X^-)4JDNy8nB(Au%8`~$*f4lY_2fVoI
zI651n3q<MMq5|hJO!Q}-nZ^SS2oi{l;_TA_x%&}s#2n_abz>v^Q3?knezoXVGthxb
zja&34+sl|ud|h$eeGW*SFzjf2strU2)<G%#4XiyiU#7N{16Hl>@%V9TgSd))XTQ`A
zHhaOK_{}&6oLC;r`g~mrvS_YeCj6!XMxKr<R_dJKGXF_0i&hJKif*M--=zk|D%0G<
zcQ~O`@v1~yoF<%F{q&xwK@0Red6nL*TyW*2wX8L}CWuXUEgRI)!Nz^(-wcnrz)d3B
ziT$5n@8|q@!|VV9D0@G8{Mv#W>|(t|RMa(K>c=m>pB;?A5p4738!Hc}L{WWcYEg$m
zy4)tt6HFkpJaB1dk_Tj;=3EpxuMV?ff{vv#%rLTL;hHqe3q9M9$32DAVRX0oJ>do`
z>`r&8YOnFZ{{R30|Njh^cR1C56vwTs2-$nDYutP7ec#tA?Tm)BC@LxqNtsC{sqBWR
z%v6YyNZ&8Xj8xLEWhF#puZ-XQ>+{cfKIc5=Ip@6I@21MQFG~#um~gUg3o;c#a=HG!
zAWbQ_{Ccw9Ez$rx$bzx*v%*mLrrXzkTpFhcsg7TE2I$({^v~5t1gG|NY4?1Ufty31
z$tpnu^qa&q>+D$x*H7<K|Lm4S=h=vx8l7~A@Z6|<?IQ}hQ`!$2hXO|83lFTRprg=#
zTYpHH7~+0;8RS(e!ivcCOvs{RD2(G*Vy-xfzi+rR->d}9Yg_>fH|h8?Uo#}pBZ0V!
zMW0n0mEn5K>3#ZbIuzGz9R6+~g{E+?!1z`bobKJ-|L`Fly$QG2!;+-&OqM-ce?S#$
z1hYOLYNX@UzQk?^0a?Vg{IT`sSI4>0$ronxbSM}dGL=q|gPuw@O~OzEbvl`*Aq)eQ
za<3~tWUPRSC%yOm_iEy@%Z;?V$p&!pkc?93RYVDLM}Ed>A*Jv`%{+%8w)$=eEB&a1
zSF$HGxkzoi%RMbsA7u!ay~Fi~%a!q2miyG1UJ5=hE4O4<GD5Ib<k#R_6<n;jd|+`=
z2f@X)I~_k5VL0=)Md=My=tr-5xsyW=Ua{Ac%2SPT_mXYj;b=9uUKv_`qhAkcd|N-a
zhngU4b}Z8~P#yh)jVDAO=;KSj<nq0Nrl7|ZYqjpuz%3&O<6#Rb1hkyB+0UDy{V?zP
z^Ol-O?|Hs-B#DZW{>td1_sl`H=ic~^R|_3-Gmqj5sc^6`i(oWb;GT@MUvs4vY;NBa
zc@RZKvo4W7^v@FEH{Q!$+^dbuaJ3{}VJdc(;Lnn-HL8E4Tvz|8jaSQR%I~k&M?M)L
zX1CP_bwXR$Gi)j7>D;D&fuRReuh1u|Cm7(-Bnhdr6qwUDRHzK-peiMB>Z%nGvaHj!
z?=l5uM|YgIccVbyn^KV66X48<P%E!L1)(b=*1U|-!gl)A5r!BOv2Q}`v?&zqzqg-O
zc1r^>y}Hg%y_m4(I=9NXOdBVI_&f)$tHG^o=%8R46Au2#x4Trd@#FwJkA<i}UHU#*
zQ^iDYOz;UGA1#!ay%X&}qJ#m{zb~ymFkv~k>Yo1<P28BB?;Gxs!?i7~%=jiIUXDM=
zw@uN&ach0!Z5q<>J<8vHv4jZ=vdl3qRvn0xZ<Q++M{e_!&f05C%&e_q7zL<--a_kP
zOIZoo)g|%{?o1><kvY@jq6)X~>yLOo5dvFCNZTK2CRz#?IJl@P$bP)~LCyp}R`4ga
z-){k4S?BbfSgs7UBFU}yCb%JVr!6=+9MCy);p)g&McBpGNO<LPVm+D9c%}oqX?^DJ
z@<bjL=jG}aIM}gEC1=Sohk>`dzL@r;%Oca>s#|tof#EFhZ8&h;2Kt(z<7yA3u~O^5
zGO_P-jQ8~`A8FaxU?%-X%dR#_lpNVNo?JG=NMW`Re9_kMeOTr7T2%tcY`ITw?Vn~y
z6_JacpRDk?yZm%~q8N_1zOgz$OfjUNb<s7{tl+NU?#$E{g$o-m)8g?IBiXgTknNNu
zGN$`E?{$g5cvBzOb;)T4^O+QnFKZ6x{#k70s1U}?W#@XkfoaCtm^P~tH4DhJosWHV
zQV2qA$9Dya%`*Jfh?Gg3Gl$kvoP1KDASm(e>-S%pWBl+qJoM<N8LYRy*;h>wz)|Vx
z_sW*@jDm|<>{p!3kgB~!L9CM>g*#pTxTq~MMu)#nzA84w@J!4FmnJ?u9gww~QeZ=8
z+N|F?6;ou3XheAa<%QGkJI#NY?9d$IjxbL$0oxVfUPn7#=!_oa91Y^Y_t2v6F#;y=
zZ6vC#YIty<p)W1Dh7%pT4V~9sGKNBfx=&RA4>*0o|Eg&%LnecijpQ|kyOmw@-Hkl(
zGdUmNpUw?azf1kLu|`PGo!l_GnFp2(*O&Eryy!h@_dZ?12!g@$9ZF|;AhDRQ@TZjz
zkyp)}o@E+>*j<<~TF-+kk8ZB`o4g#0^FL&>O$||)di>rQYhJiJ?e#W4C5VVGnUQzi
z8G!2fYn|pNUR+B!VRkA&2+xIvyjuJW&@=qx=hN$a2ss~X`=(JC-1<8Cp+W}miyWGy
z`tu`=>qYXLzamI0FP)iqPDlKsPydaaSPn0JTchn-qA*rjyY8wt9bfM{98F0TfREU{
z3GF~J@G-XNl*rOycQI0ddr%M|=9~BR{Se1wgj?&tXBuYecauBz2%$4;ji}8oNxU3;
z@{+hsL)MI|##E><UInS;yq%Ror4-Y;(}xBP&Vr%ao+8*g{AWqLNCu4O37#vhY0y?-
zy#BjmB}RmD@{V4TL-XtUdUH7%UbZkB8+}EQH&9qR7@~k*R}=TUbJHOEzEpL2f*8cS
z<|@*hlwj|mGiW?Zg|m~rZrBHLykY+lwsxN~o(~8AbY!C;=&2;SDU$FN=P@O(svzaK
zzudc(H2CJf^R7*m0@n*iSC=|fNMDe2uQ#TFx+*68f|d-jBFZ@43#nt<e3AOlAsU3&
zbcLuj%i?e!CBfZG1EGtu#ez?1Xt-J7Vj3&YdiUnrl9~t)9*hzar6WvyRq~sCipVJ0
zL-w)mnex+w!vCV_xOSY*8TUX5`UVp#uU(*E&$$|Z3mF4^e0O)MD^D3`xaPLo|I$I=
z;YYk5-x#1(aqGm@rz)t(b(^g+)x#mX4I+K9hA6OL>$Rv>MSo;*&(Q#V(A1w=8k{f!
z_wB`Joo#AZ)*rjgFOdqhgKAlY0mg7xlU7#Kua1#WZ@pjkG%W5MOY}-K!QQ((>(5MT
zfFp5d&SWMHe>@}aNi><_Pg}a^=V?s@356(L?4hAa*yFaYoH?q?HN)fwv@n`4EYGt@
z!-{jsWJs_D{POiT%GPM3<v>St<{ui~4c85B?z4oiy-%P|6a_gSmu+u;#LBCd{3+bk
z8j4jhK84CUa61rZS71fM!B;%nh%y^Yug))!O45Pd6Ka{3ITaNuQ_h0CVDXDmdh4qW
zLT<F_Y)R8YzOaPo`YaZA9?k?G9M*x}wy`vUVjcYL7x;3P#zgJ0Fw(YJ2VpV4Z@-Sx
zMrlUn&WBk{$i+5f<^<`WG`;QHIxS6DwI>YyWw%A%`0CZ;qZGW5ytr^CUk%$RJ1-~N
z*<#;3d-Pfh3MMZ+^-R`P!3uBHCcQ(pc>Cr-#Nn;lSaC}|>WQx+a+Dk9qfgmlShy>|
zW1|+%Zy#%3RU(632W<EwS@Gc?G7=Y9`Brerj?-Nw;B(cgqkOe3zWoWg{Af@e;SymU
z%<U_Y`QL`yu41;}+&XI0nx=*ti7WPD8G;B>_x^adg$WJ+Kd%#=RAIfaWFvHeb)UL@
zo%_R?h*M0o3LaC2%93jiWjhDxZat2sT1;%QyQA!ut^|?A6Mhcr^Ndw<DXSRuz=KQ7
z&nxp3FrAUOm}ED};5_8gvC11TE7x?QQRQGe#V%7=`<G#D=J`N}9XP=*bI!0;8l1ml
zB%Gi0F_OOAXnJYFKthw>^|U*ZI3sg*s<W?)A#rSuGU{uC9NtdBV^_t&F1l)ZNbNgg
z)nn;(F&Wlyntny`$Q4DC>>mzB#b?Gt*Te2v?N(5HNnJBLC<3XwW4b<EZH$JA^=>or
zRtP=V6}+@f7}rLgai2Kd#%Q;;vzXXx3F^<%*8|@LQF;ArxlG=FjO@*IYOQ$|NQ|cs
zmAfrR(PD3itkrkMMDd=z`7`DiJ3X+9km5t<-PDc${5u&LuA7^~*P7!gt-iWJnTN&e
zyPEpcpA6xgtd$lSW{Bo5-Eq=y8B&W9mzANH@hz>JNiLZ}Yu#j^%>*avq&M!5Px#Gn
z-;xqMxyKae?k+Abf69Sg-D8Jd$P6*^%gqGKYfO-_zV=e~19sTTYl)EFBa9T!GT(8U
z2^?lE$Nx36!R}$~tHUm1jH&9CA(83E80k#5<y2<Fz>(NgALj|i--+N&E-P8w(fL9v
zF<W9>YR+0c?KQ=CwYM#1L$ndT1SefyIJ?M5U3a<pbo2~^a*+0LAD0n^8j8Qhb1yPh
z-8tE#|7MPHU+a)wbfh76=eTkXe_UWBi5FHY%CL0BS6;H1+YpX#3)ZgcTwrJ~3}w&8
zEHR7&WCA;54WQO-yO^N0$Y6SV4}}V`BlWYRjIgu;T4c6oM&vCrY}ed;GvmvFjhO?n
zt8?kd3GNH^-?zkwI{)GhUppt9)IaY`vZO<8<Lz%H6gK>Dvlh5~U>Q`YpO5f<q=9DW
z(vtj&4O%z$D_&l~1HSh<-^-5BP`-FamGcNYT6{WUHhtuUe)9wF<`pz-%KB;?V9tT`
zky`=oW&GfCE_nXMn~Jn|4rhv#Igx(O)O|;-0Q%2Im)?4zkC?;Q+n~vXs@iKQR*Nej
zK<xOiPeLC@b$;y<TfYn?4e4{SPlRE<7+n1=L=TCdvIq1MxWQcDvr$_R!SF{{^O_M|
zXx<QanEA&8F4AL<!ah+*y7~u+`s<?n;iFec(R_HcS*Wq0Uktvl6UV#eb>JISr{-<5
z92)vYe<NZgaJ@hv>%t8k$bBg2V3!xftHSZI+pbbb;6J!8$zBH=_?PJ!Y6-D?)2yy1
zWbkxujD3JZ2dgj3?>fb*PvB9e-9KkJAShG1=o1Bkb6Q>s{UTr{9=N*cssf4?E^iDZ
zC{QmgdVR-S6kH3Nu1^LjLG-6Ui1up=es&)03Ca;eN{{LeuPS8>lD0xxJrsz$q|PWC
zN}#r`XVVoWRXpR<4s_Dc0gnZB=<5$jbX2T3#g(Xrv&S@qJ7RU<C>#GeD_0ut?-xtw
z%W8nPYQVl&Q5V1UcY7-)%A!VV--ip&G%+3dl5MF|7Zrj0GTZOU<HQBmNxxm%c#zGL
z@BEq7=QZ)8xo;IwyH}dhA;RjHvc2UIUMjpJ^JHJJ^fTpQf6R+|UF?j$6~)fd3A*Zf
z8^>)_z<#iD^;C#H%y-IcdMri9h+(@?SBNTdeb|mzv$%fuh=1!5)_gX(O*BTnQNs_#
z2b;tGqv5R7u_rHKi0S3$nH?e;=qo#UDfTiQ9l5a|#;zLSG4K8O?wy*jSJx3-r(}Rs
z6Q|t+944q5E%x`w(87^NR!N+323U&S(RS^oDe8(II&*zvah*S6;`>Jfj0~i6Us%u5
zx4%?grp;3@uUdIDrqclDV=M}OOIYGyc-l$ZB^~_ClJAl)G(fUp&dGIyR;Y|WVO;q|
z7w7v8>$|NDSi11K<$Q$=1ao&N&?EI=cQ5fE;}RWncYh9T22lTx>q_jn9&}1%>Nm&H
zz@NJ&Sa~JOPbpS&?N-yr_Z>%gd|&B<8To3rA<GA8*DF-His<8XWt8fjX&p!r8(v!Z
z+TyX};6Q09%kT9roY&~rLeCRvp`bon*52$;cqFTbjX#CS*2n6oA9&Ls!LY-!C-v*(
zZFCV3Izc4+s6fSJ$zlI7JH%OBqK2~OMf|2kp8tLYoJu>@P!VPawhljD{Ln^y$Z;dd
z%~H@hBeR-z*bW<$i;Hyqw4f{QZJ6<5CDI-$W$@V8VYQ1{a`6uh^j{Y}$A5A;R8QW>
zv6;3-p(*VgtkhA{*P3;!k^|mvn}_G`*kYP*TJmw6Dq6lek9yWjF$~;gJakQMv8~l{
zbz848Djy!O95nyMI8rCKhFZ%+$IHuyx7jJ7#i7DaMD8Ku49Cuz=bM?hSiWS@?k*25
z8Qt^CgufBpFT;Dwz5tI3KXvrD$e?z=;N9`1ej;5-;_2zVz^<Pal-ARdNC?XPXqPcU
zWH>&kR{q35f6WWuoy}s1jjG#s_ry4n(%|A~`Nswo=2p5ITUTQJ9)?pWeUjjcbKIHE
zX9JJ*Upp1WgmLRLWwW=$6p?h$;eoKeHD2V&CYSRGAhzRK@HW>e!XP86tz)|t-mLig
zv2G(T%0bb2Cq6}-q(5E~inRoB!M(X-k_(pchi>VFP7-30hpUd)S|BU2wSCVNJBq!6
zd3NPZ5GqMCQ!jZfP_(KxcQk2{5i-ZF`{2nqG0yRGUD76V;EH2r&zD(-2|X#(H+ziG
zQm&OrOEZK2uKBsayh+BuQ<2|Y$)f}>zf9cOF;lesb=?v8Z<JAYvYYuOc7#|h9<cfI
zT2nMFNgOH<9%AUOw-dXo@t07$BW&iGX99VC^D^b;K8A(MPE{`VA;Lbje4<s*1k^I>
ztFVvV427x0*{X^`g6rd8?_ZW)9oyJZ{&?s+qX1Qvb6W-o?zw`iXS!MX*7fk`idCN&
z{yT1F7HIt@yrLu;Y+YEqE8H=stklFPYLSa^H|i&LL<(`r)fvKqSCFUCsge;K9p|>|
zOdqk&ywa<kbqBiLO$yFgKV-NzW$F0L^%4i9F3EdWu=X{D{f`$tk=P!0)$w_8FR`?D
zS6w`7FDv|l8=tp4BO?4~?e}H%5|#DqzdKgaF`QBEdMC1q*c5s3^~L61VsTK#-e)x(
zp_Qu+e+sK7I*j+;-LKzA91`Ek^X&r-GK|+Y$Jknk_`qPc%hi3vgOUv1m_0Py*VFU9
zCi;;`38Me(yxvc&>EHVJbvG5kaT(TsdD@8I<rz(N3BL)p=2oc`ekzhSZRs5!_>XW&
zE%>I~JU|c}lcBz5`Y@yYOc|^DMg-~~-RREzL&&IROe*;4VV&^t;|CtM6M1bVmxKNe
z5r|%lj?dCX$GOxS$?rRf%PQF>ly85D5lIcNydE9g?C3td*}a=!+d3!T%{fZQCC2|-
zudRcJd3BFRCw~%kw^X7ZT8$Ck(p-)oI6*;?Zvivl!7n1?mHQ$0TjPYl@06+jDs99p
zteEKt>LXrRrCJb*lf>$9q0O%)wej)&28oS+zX|Ujd=I5sriePfnQJ4*w2<a-`GLTN
zL1Kde7i0@&h!p-6-;ci6M1TBL=>4}tL_l*?(=0hh9LlDKt}@ZYcQ)0CDU}g|d9SAZ
z2>$|cRR5Ubg}WLMs4kI`3?3zvqDpvcuP+gek*7D>3u{0>r^rWma*W^-9~GF=WhZ|c
z+}@oXrH<_rPya>5O%M(1Uz|59;UKl>hMDbb>UhnYmf-6)MJ(&LFnj02Me4p(qtni*
zp~rK?OUQv$-)WUQgabEevNN4B#;1mv@4Sg>`{#(Yhkji=<;qL8?0!?5a6=XJI*!h!
zvUy^Pce1DH20zJTDonYjuL=RiS+m@=ON2p-?I{r{K~g%blV1N;1&TZ>*9TUxlYU!U
zezN~3L=L__9NKe21(r|M4LMRdNXu$6>CjOTvO=xq?Sh&LmYv?W<<%xGvP*S){7q?5
zlB;TBXh)YaOQ*Wd3e&mC`BiUpC5FXFpDe$tu`Hi?dV~KtD<&`5xK`tM;)n!UZFq`1
z@SHN}zkg9aM)8w=&#ox<s!5Yc*CO|N`YIzN(oMRUQ;@Xi@eu!YRhGPvbM&dm0oFg1
z%O4g9A<}*J>U|dj1@h-FlcJAjm0?IS(zy1Bkbe#+cWjMTA~oJ#q}*cVy)dUXoxvqa
znn?#ooRL-`tqSd*h|DVEs^HG)_!cqp(ALPanGLGsgYb`hFZ@)%Wqe%Mw?=|YJP|{6
zyrWLWFdNyYma9V4TjleGekn3Q$X%lMx+d8*n<uH(t_r2%Z5$uWWXb6pA7X1Vv`NP^
zK9^Gl)v)-Hd-6)DJgM<R@p#||9Wr3*wOOpS2EN<6y;(F=BB|rS!!DBg<g($tstZ3f
z@k#vgJMIi+^1^5^W{ha$`Sb5c+t1oa)Si<V)Kn!STz?&5?xvHyg59gH80w-pC8tn;
zR3ig~*SyO+XFy5?s(oRf*M~&@8Sd>q8YHJ=jG;l2A^EwlXY*TGI%t}l=QyOaNRL&g
z?`2*#B46(6Y^a?ufM<-GiG71M={fPv>9eab>9%%@@dqAb)KS0H*__lN>u-G7Zqs8-
zrgKT8iElDRyHJWJ8^0d8S|o^PM$3d`iaR`{RGVXc*vqVj5PkC7T7uhI%!CY8tBQ$n
zvjTIT@XRKuWLc~I@uFMCWXhYEx*H=lkbmBknzffkwy8BrXFoF{WsjFBm%IXE8vkC(
zEvJzu@9%n0u-}j@EqprJIKo8!Q3(&nej3T=pMQ2&F`XPb;qld-oyGlGokoM7G}7=t
z_1>smR8oG$so|$RcIY`$%W*P~M%Fpmdn$EN$QSE!{gvYF5%9=*eZCEiEc4DQ&`{SP
z*`_xNc5^wvc+e`)){#mU1`obk^i(DVDuoL&tsD@dIiLBkOpjdGaX)G@Rhp!~Ff!1!
zcEFZp8<u2$>yRh6xt>W?6(L3M?^8G?=zyISEgMw2waF@_0h?3`CwXBi=%ROtJ;ai&
z;(nKCl8&zh4P<Zj6Bg2JE1og!;TZ1qV=7Rc%-gE6Z28-6#-VWMiJVe9>~QX#HZoEr
zW5oA9b?TpE=nVudKcZ@fl#p8I?K4W`LXpB-`Wh}2e;o;ZddU`I?N?ry-;pQB4#<2u
zcZ?6#Ny3e>LrfeNsrc(3B26Aq`XNo|3gUTj_I#`x6C$V9u&bnslOMiYByV^ngnZ`H
zR<75;)FmIkr6m!vXmTK2s7M&@YXt^vO#x@~Ysc?w6C|fz7W(8;MBt##MJe0Q!09V$
zyLIe%NR5XgB3XMx@I0)CubJh?#}>@DpMJ?sp5X5H_~s)5dd#M0_Tknj`$YKr2G0^a
z2?Nv7n?z8d&Z}vE-wL8v9!b3m8zJ(77EV=ailB)aajLe(63UI!wps0+#B{dxr7zRM
ztozQ9PV!sA%JOQK;r3$Uyk3NRPn|GoMQgM4Hd=tYUVi1M;3vjFp<|8IJz>0<9LQ9=
zV~!)(7*wg+%b4g98>B`FgC`*F=9h6Z*!;KOOk(W_Bk6D4@n@%nVd)j4b=TPpPbxa^
zJ?ETctot_4vo@5~hh1@#1Er>r-7@arxN(-@`dHe$GesC%-*i28(l7->sC1SO3yfRC
zY1GadVSL=N=92d<6NHQ^&qbVI19d*DaEk!TKmBMg;S@K4A(w5{v^EEfPG2n)JSc+J
z?S|sBNyb?IPtzm2ffM@^&ZcGl5P`0~g_VK4G3MSx_nCPtLt2-;$NfVq;s3CH#p669
zcwDauYU$xdghF-RIbl&0pB;OB+QtYj9uMS%5AovgiSS(FohY=V#r&TAXNZU&CQ90)
zeAs+X_Uq?dF+6#;*q;z&2$$72B>O^_<M9s*;mxVy*j4{`!xm*jY|Cz+ERz&OPWhgl
zrFjxKw=4htrWOOd=vMz&O{{>O-v|BlR!Pi;-0k~)!2pS+9@B@dg%MCZ5RxP#jWlZU
zkvk3s=)b3BzeYm@MQ6>%l|p22!@JsLUcdmGw`e3O%dG^B!d6~5FAM*Wy(<fT&|wy`
zEF@G(6jeF9p2pskhlbQ`(ZEtV#$rp>HyDW_=U_lWjf*0VKN=9ArP0Cl$tTIlT^wJ-
z1761@DWO=#`d`a6I;u-ry(Ho#u(q3i*87?=O3m9&`dy{th=s#SDVE>-k34z4C0PaB
zwO?kax9K>r=7-aar8HKbTJfhoPZc6g)^GPdrvqhwmWvn2K)^)AsiR&E#YcaC_2{AF
zfo@3rQ4={>hV9lD8B@ofA)9~Ess?y$@ssVwdwG=Xw%<^uq=_Ltxpucx24KJ0D3Tne
zh`CE|^8=i<V4Z68N2T2W<<hUxebSYX<dDnG6RC~;=1V(FJPgq&Yn&T!K^X<pZoI1>
zQ*dkGz-0QUA(pla?(typ+0bdjCxu2G$abCED3@*owQSx*zJ01#p|CP3;*&1&bl3Kd
z?lZ>LXmQ6rH#K}cut_DhS`WU~PSy>!Ch)$$ko3tx9lo1Wo)ury2lsit-O;9|n9cX(
z*P&_PzmGx`UVSPyiFIt%WSZe%jK`S@VNH0{7hB~fQ_<#h@a}aFbBv|r6-{<)V)*Ri
zH2X>_R!E)+Pl&R>%+zo1zxT9oHurETnN7vale3+jC6>@(U-vI-wKlXb?+|EbQei?A
zZq*pD!m-m0#(E#L!S|KAwu@EI#Sg7C2PqqbQ-=k|%_(S_is+Jw(?fUUx=Y#S3~&~c
zKbHklFc=p8($Yy6R~3XNTvUO7e;!qDOQPUZoYgf?f&yukx9-bRfq@#Ku*FCUT5ff_
zw=HOaA$xp%8z&Q+3Y$*3uA)FOl(Fuph$dvUhpyOcW8%&2s#M8NZ8#5QWWVH9hokb_
zs{1KSEH*hD-?K>@PR1R|9OEi@c52<hHI+;R{N6&na9ayE13a4aI+Rd)$2Y<26D!`3
z=JMx_CbqSm<$w1~9%o|@sr+eWVqMUaK(bW>-Cz4vAN-WYI^V<mF|2<=x*T5=G^rzM
zT6VvUy9A0FTPb_)Fi~(O)#7%E8j1!M^<y+d@$T-5y!VHgs7|il?VO~F(>;&Ooi_=i
ze9h(#4_zjrxOe1jJ*oolt^-W#XUp-<mS5~>5AZ(#009606qt87)$jkuW$)wID|;U6
zoMX@T(`?906n#-NglOwi8X8nWgCvnCB_o<t-tQunQIblOWG7^k!q4yj*L_|0bzj%>
z^>{vRt5z$ydn;72TsHKI@F_lAYUB1_o(ilTbf0a~Q9(~z#8*j4ZfL~XeC!864LS-;
zswkm8I(A@e#S*NdU-&87L?9->X*h;Y5xYF2E&rI!6E<AW5>=E4gu84c=LO^;@I?Ew
z!^kZ0NWJ#7=T<wg4u*4!>&xQ8T<kaAtQq3Mk!IVlGF!l<W<oJq8XLm}<j*Tl6KDD?
zB3{ke;0qFjl0Hj<$t{+%-gk<S7nLU>U2X7?j`W3%61aOjU=^h`MQGg(-Yl7EjWtR2
zZv(}}A+PfF?7EmK;=_<`u-%9ix{X9L#d^fhxpC*5w%Ih%mF~IOVYwCbSvOW|-KSyi
z{S#hC-De2rH^qHx^DL1YSNPAYLj(%}g)+Tme~6Q@k)?UumT2nm5D0V?#*d#(TGf7k
ziSr_+G^;QR+}z)&v~x@lyl*BdjZEf<+p}BEHJZ#35eyy6CILuZ_)1;2Um)yDU#|-z
z%%LqTHgdd=ALWTocdMRp;8ek~Ya*p)*myhf)(RtjjNBQb=l@=Ut*bJ(NNJm4UjB|*
z$xS}UMeO`JV9JH&??--~%rS-RmJh;8u6(d+YCU&1g&W-mj>U(onBt~J=$hs7d{83T
z`NbT(u!#?8Ys@u)uyC0iQ=AX_eYe#W<N5GsRr&2VdM04^Jo?9A@nMQGOvus{z}T!n
z!}iC<(Edyp?B2tNp_0@ht9C)G%w5CiSYeD4J1w}@f9FG&f5EF|_k`ivw(+TR2OH&4
zHHZ2m_|Z22NI<v0P%06cFA6QzGOF<a8>`<c$+DFMpfvT>{Xw7@_CCxLdZx(6(!CsC
zSmOe4`<VIE<RBf^g>e_Wt5|5b>^NpHD2UE0#$W4-#Bu#Jbo-)M2zb#@{Xjq%r>leX
zH76yI>y)vhLyd(3B@gYZt3+VRczJDnwG{gF9?CrY%7ndv5;gTe6d}h)ZVl8)W27X|
zdg3Y*EN#Awlj>r)vUQW*{Xki`h;Eg#+rotWqoZL(9CVy{woun4A`d<7Wv@IfnQ&&D
zxJ8W9k^OW-WpAqjmaN|3z$?W>rT)Ida{t7UJv8k8yJjiMbPGK0P8lKYk7R^`q9oda
zt*qLbl<{quNLO{M5f&!*d8qhEAw>P;$f*SttS?-Px)vjN$7qR<=1D_VTj<d}O*I58
zF;GewH-f$yM~Ep+7U?I7#UlgMQM7()P)df0Rg%5*4Hx8aUhZS*qihYN8f&o@oSC4M
zs?J_zDWEWTj5#@?iJ-lqkG&HX-{G5uX30-QEZe-bwQ7|%&bS+$oczv&W88%=A1jpb
z>&J~>EhRcQ<Nao#*`0-N>zU)tUMe_cw|Y;j6a$aFirbq$vGBd}p~tMJDkd%tY1r)7
zgHUeq_1pW|nANmA<hV`^2X>b}SO1_7qsW@1*A~WT>TwoH*s6}2EQ8kp3WoTfQhbw^
zlnJcdX3qURpn(R@R@wE-jUf9dE<u!LitYbfU!;_xi4v!it&g>ti03=?^oOPyvMh!)
z9$nKy+omGR`18!gbB&L``I#eqdtqYJEp5bE$$rUgXJWfpiEUSo1+L^h(fWK{2ix7e
z{Tz8&5X`a5S+!t^sS$tX%>-TC_?|t%=4N45H{{UQFl+q%t&{V9H3MFwzp{LrnP{o2
zeD>~(4a5(Hxc1C3FnpVKPj@#H84<}R6<q946loVm9nnMA;YhKKHAdhn;EZq0BXBS!
z+3U|IJ?x3-Y`y4Wh;4lS*<*WveJc&d?f>b)zPLLfX@@>6<E8tm`0a7X;NXqtLwYc_
zNn4TV!@%;%Ff#k3J+7>3&sbZahn{!FcP?<~z{0n^ls#w<m#I4IDz+Y$yOkbfp3=lS
zD?>S7a|cLHKA|q1Vqmw&wr@k6>gX)qp=Gqi0W1F4QA_XXLQ-f)$%~^ZNSH~pW*l_D
zoi>eb?gu)U5;>B$+DH*r+|0m_`y3$bwZxA*O&h6)-ZW_B%b-O)P4N192Z*flZ`uAo
zE%3{ZyB|3!0q6J4Etd@(5c8xw=9Rc6Iz-}W`!Z;-QXhXzAGSyT;oS-wo~a``>tIEd
zx&Uf*U+>?PV~@+K#g(*BH8_zypS*Lp@Wa)r<@ri`ylmbs@>^IHmz{!4zDmy%+qUp$
zEerx~n{!QL|5HXiZTid48&iZ-eU5GNX~3g5>Rj%aBA!pw-uUrqgb1vvU$s*c(3+`e
zRX!yTL-S`0r|f>>-u=VrhYk@a9FPxR;wXy)wH(|{ik-wB&uN3TWp+5B?tT5ax-=@@
zDFjcfYa?v(T(iylZ4sGZ@MEumB!s_-+3`$#Bq|?IRtBir;`E(`(?T1>(YudB%_rgm
z!7lTBo*rm}iBspl@2(WXw~|Y$*_I!O_%NTT9oMW;R-KsDa7q*%(c`UYJ<UXHoobv>
zpA|-PL-=`ng|Lus?zc<0g^-$l*!P=l1rP6paPA}l)W7|b*A(!TnC2?K^Wc~zW+Wd^
z7sv7;lO>*W>2(K@uw%=)9bYU^80d2H%3U6qA4!Rnc-lp*_7E2oG_ioO(Ejs;8aF(e
zUG>&a^b(_??<0dRm_x>GCP4ZvCvHo-`MudVK$I*AIN>vGhW9*(t}I!C2q{ewhq)ml
zBZJmb6J!Rj;|IRcsyGnIe>k?feT4X|@2ZedZ;C5DYEJsx9OyI>w)JQnBMR3Z5xQ?{
ziam*5ZzR6Y6F$0RjN*q0LXO$qGgoE;p2U2wNv?T9-`m(zw||PTnW-oU)i;6WS9N;u
zjyYoIbb0<J`XAzMOOErG+s1G=9hKa#Hb;bT=?Elw{Ux4<tSj-<Ge*>EaBEA<5$dXK
zNg{=FL^oYRw)*ZOM-pl^X_zBccYFxnCC&l<sS0(L6&p(JK5tTP&JjD_3Lf_gUV?%A
zd?Mo&3*r?L)uhur@g}@tT<rxX;yc&M@U3IPeY_$*P;P<PvD{iN*NPi_T{Z?MhM9Pt
z)2uj1=fK4#!`$k69-OoZ%+y)jtE0Br2}{d3usSvW=G_B)IP=P!Uqowh51qJl@p9x6
zh!}R9s#z%jBL#z_MJYyLGF^XhI&)%o39&lURtN%a>DbzChzD3nxma?cVyjlyyq^em
z+0?ABG&KZ=fA&y@D>p<L7n4V?(x9#VMUuE=fHQXa+6QBKAm=@bPXctX#J2fg<}$!^
z$>7q$MqW_iNoVQ<#bI}skCt;lAC%cn52I!LSm$3-sM#n1jgSbjH5~fzw@P+i*(HE{
z8p^GMrJzvYuHJiI4{v|2d>@-Hgn47n)@Zs6EIi1XN)tWweV?j5nkIry&Y0)wy|UQX
z81(y09|M{BuS;$3(Qs_cC@#B09_#3<(p`!eXfI#M3|i#r{9E579<HVMu9W-FHh}?`
zp1ffRdvVN^a{Dtql+ndsrlEF#0awQW0k5kPxTos5-=#|h%Ac|=L>Kp(OVg+0+0s%_
zT;kh2VWNhf<)%;0Jz${0`dVy6u{4mjW#~$#I)--s2z|t@2YT6e=J+OAh%NnmDqBty
zZ|2n-_zvhn->H~a)lMFa_n{Kk3ba6O*|O=xQhhw9-O1f)t_abbXLF8jI=HJVcO+|6
zA6dc0dT+dx;QUX5{4=MEg5dUL^f?2V1?grgxTs*jvp(+rBR#YmhgUy!HbT=x!N-j|
zRgn^8*O<S{0C7vhYYMkAQEW`TmMv66t>#|?0o}zOa4u-iX>S%TE*<>UG@_0}H%nA^
zY-XZ7^?#NpHnI`&Ywoj^ttMh3FZFQfvasbBPkh5=W2i>EC;d*;!v2PLXOfy(P)<<&
z>OErut|$eL=vHm$Y+Go_2xcSJK2+TApcz{FJAI{;b-{3dbc9jO#)tZ=gIsDBuvbZ5
zp|QxjU#~18eWuvp^SJd{qRSFNd#Jd7k$QMklG#5$%!aRc^v&Fd)|eYe&=23Nk6W`3
z63KivDvMM<Ii0fw{mJYDRbvC(t#vYfx!C6p)zw*qZX&?W2<mgKGXOR8Ju2Ug1&$bL
zPQLTN!Se^SEwv4?-G%5Mv1MXe$_fjvAbYqO^$PIX8)Ek=I{UzY0px5s-4eweaPZmP
zKZa6<n5Mqh-C5+Yul8!w2R9eFqrZxC^11<T8)WF6f3J-NNzQ9-GLD$|Z_4u6pgznx
zUhi`|p@GW|4pBB69icRT+P7g!51U^hTHZnxclYf&n;P$k;BFVX{u>7L##v@e5k&;o
z3|MSC<%lcaIVWl&bWxdJp5Z{3#tqfbeH+3Zp?F$Nuk)8SrY`R*`I{{Ui3^iTOtvG2
za@6v4ytL55oJ{V`=EIWSko|&P4tPRdI>?u=fm?Sz(<F-LiF;=(j%prrK-tGDF1pid
z_;6-V|FPN;A}{Y|=^7aa&`h<K%C1yJbrO42<ikf|a%t%4#$0<0w2vl>xGO{U1BXna
zTRpisI`h7$zC9kTtGgegt+?o6wIW~pyU7hf3U05<0G01Cnr6CkaM{+=z}EduUKJQ(
zaajQcjsN}Iy-pghgIh@t<8d-EZ>^r+NdogO#DM%$3G{6a5qh0ENt$=p*lozNL!j^F
zG=<f4XbeV+{hgg6e`s8bwSQ&{v-%HVdA6bmH#(=YCu5pi-MP~2WS0$EzSMIT+X$j1
zukF`-?lgJ(=;VuabQ`=F)4p{%n-__{{eLwR(<FO9c1@m(HF|2I%T{dQf=9oqiCOX#
z$-C0+xaKh{DBHyrlpNqdHA5;^rD&4O`7!(YWQ`>zsEj_J#=peIJ%_2KB@-mq=HE73
z#Vpb6PY=u`rU|~YulVRU$4S-?rLnES7Ld;j>Iya=Cz#!Dj!b8bk-agS`1Bu|gO^x&
zq-OPRg3sKZH$8Wh)QI}LJ%DbGyq{&yI3#}(w>Fz*DLok>Q+(VtZtpOIa^dkOd(ygy
z_*IZ!_VG8F<Kr9h?vp8=R{uA#KmHprq-$7V8$L{$FKKg3!J?NXMU2@Ae<TvVYrVT*
zGekbq59N7KY=WH++~&?`)e&U3?uj3+gCt+*T?-La6V(2kdCKZ|LI~U{kqpoHMS9M4
z^h91VM&r_*N7-rTh*H1Fp(LGOWOnT=b(e08J1!qC&u82v85xl(%2NZR$1eW8_mbIY
zKC13GUh|yv+iL1_oAVbb_x6sMADs=wTisDH+iJ;xO=UiJ-F}gx@=1per?KF;F40+x
z{ho|VJoe$sr(fhH6FatqG7EthWdz%Xn#qZGJrBgQ2FXu}dhccnn9!dvczpf87II>*
z(C<6BL!_-MdqKsD32jko%lrN|^2(8kYdiXf$@T1e>D}o@sMv8XXV0?l<WBvMbM0m$
zq*GspdPS8X_8hh0gZB@zEZ97;T7HyFGk2T5K4Ac9xsO7JdArD(gO?+%RmVu|U8i?U
z&j8G;?5DSCx=Ben?ysY+<0Lzjdhf7RA4*rh?<!00CC~d-o|?&=Am<|wdA?oj&GV0s
zh(^WrlUahPKVM5vk)sQ>ZPMcmWD9A$xOr-TEDfa9xjvmHjZ*GOO4u_HdHDpV;r&6f
z=eGF%j+8&-)iUe%<V9Ts&dcZg<@-&VzWsABH2p7Gbh}wnbyx@N5Bx^iFGtAU$)^f7
zpXbQYu{Qhv=f>>}ZBa|LG16DzO|5}02eqo>calw+HjEsncUoN?C)++1rQC{NLIo%K
zHyAF}hMdy9aW|_;^4+PJm)e3{)THZ;lod%@IFfYOE_7~+d<WU<iubvxfr~e5>v^>B
zTDqmAa$tsBQRLIG<`gd#ATBvBbX*fAvuh^*@ct!JCT1JBllZBNt{*?{5YR+gky4?o
z-yGSH$hGjIMv&@$Gp&6hO#^FHLR!vtERd`|_SsYm5vuu#692HC2IL3t#pe1fp-R1#
zKmYEhQJoWh7Z27h@@ZAm!`3!VD!SpsjW65jlvMmw6?2z5ZWhVfgrDN3bW)$yq>4&V
zDsRdjIclq8dMxa*;s#!-V{haQ&d-vR!RcG~*!^mFsTC5oWD7q<8^P<WI%z8TEZ;=k
zBQ@N5oW5^QwjgzmITXb;B1_3g<{q<6R|7poT2Fx{LY?PZY1p_-fl_CUYiT8_Vedv$
zvZ;bb759|eoc*+vx)??+zm=wjHl_b5ep*eZ_+C1-P#!8&IOEKvLr>J;Vz@4C>yS9r
z>hHkwtVxxcDCNzeFQ{SDu)y!qLP_fBXU)U5d(^2=ong(ho7Hhl*a|uqrK#6Gk9vyC
zHK}bvc|zmU>WCTN5ypE{mePCKd@Dyzn|igs|CUaL1{TU!e^=?2r-o|1$fI()l$qP>
zYk%%*;^D7L21OoAsl3j^S~@0rRIx=`lEA1I^uN5H`qQsWwS0XW8y0Fn(JW$*-Pxyu
zHqyBJw4W;Fv%5+o<+>5ozFdv_qBjE%gP~vcPK|OC?7i4O%A}TZ7X+_8v*_86?{lB`
z*Pt@?##!|Uvnk&njlD$-BXBDzU)nvPNo~&w-bt4;rq*^Y<10~M;g`+$cj0tx${|(g
zqq&d?74b4je{U-r%fE3&+1lw+9D|3toIjaRTv?r&{~ArO+;`coiEj)__RgPeZ^BKf
zhe0b;9R8YN4bQ75`Vson=E=+x%}-6KS<ay*EiX%m<<`|`d^MmdEVk|Nd}2!RS-85j
zy|jk@^7`slWg|)^Z2PH_fW>+K-h;Kv>~LNC<lb$POiCq2!M7pJgo;ZZNXQ5V6bXK=
z^xaI#XHE9ITj9pkZ<6`+U7|hI2gJm;7ci+l^VsyH4i@$JgwhyirUOQ{M1S30%A~Bg
z{u^=UVp7>Yr2VTnNAyHiyfTbuQeNfSM-v<MsLC~*4oVhIcz>@d|F#~J+L&`z@0_PL
zB{jMGZ~Q|i+<zP>b<@F!;s{<noc%<NdN=+$^UOadblu!yQ}M-sx_v#GC6b^>sc7oC
zT@`i)*Ont%ak~0cZPEjsDji8Gq`S8`de8~0#oDq6dj=&Myyxv&mH<Upxghr|*9qHn
zg)SPfbf}W)@DbYIX>v-TV`|#k3H>=S7R~}%)QErQ6{!~$<V11z{D03J5fx<><j|r{
z9jF$wOi3FdM&zzuKgo2&D|X}i=>k<sWTrp*9DRXU^O9BBb;SXp4+QgjWt6E?Ukqk;
zOY^{&k$b3%+X2DP$~tR#6{v^1{2EkPi$3CGtP&Pwk7#PcfqjND)N{@clW8)-Xpii2
zlx_!Vgq!Cdrb$q?7mnrq<Pin`>o~-F1GZ0wGFlzQD0};n^*7iw9Q0lKP5lZ1B_DI!
zN81G{jfZ@}`x<CC&|AD~Zm~b`_;ixP9o!Ugb??Vd^EB8pl9i+H+9EZPKWC(DfqWV<
zUg_CSgTphu&Fyb(u+?<sBf;xa<fjfn3BwySh<&C<Z2x18Qxh}yF3k>-I-?J3?OkbL
zZ7laSGO~v69;+j3tG<#3FS!0z{t|`cmd}N(C@VA$R^EvIlSh*EBPY2pisI5lH!bb4
zC0>=>w0c?BOn4U-im!1OMau4EtyDovbcWoh4D9bF9{*>Zy-!UPOV{>J$Awy8D&XsY
zbnq}CC(cTSv?$bW_iTCh(j4D5ufJZjf1LPNuaUuRC<=AE-NHPE=ICp1<xvfpCd$Mz
z=BFb>;rHJG)~if2-19GQAm(NXpNX~q9sDSYSMdXv-_gymJ=*<vvEMvl5kB}|a2O5t
zUrKxj6HRfLYI4~@aUkz&*EfDCF;sDN_sxlzVsyO0Q`V6a-%Ht98xzH_QtMvT<V6#l
z<jHj%Dd$3Pu#J?f0v-9=p1Xfs>=kL2u4dO6Jm5Nv1oszoxX-he7u`3;hBdpkZ_VJv
zsL2~0jyQ3oo|d?I)y)`b0*W#UqWoaI;aR`nFM;pJOuv2{WTSg9UDW2Z0M5-9yU)5w
zLdi|@Wa@b~{QPJOOC*HQbdP(sC_oCv>$XN15N!0+y;9#;D2&U__pfywmqu{vimx2w
zi@tN~<tABwQ54Up7KPW!ATpk@JieF(3$gL?Pc$)XS#|oElz|+=93H8=?_^=erG3`6
zi~g7_yKweKkvxjGDE^wYV?n_y{a^C}9dD;C)>N-jL=bvx-K1D(+~`mvFD8L?4SMup
zK_!$e=@?X*Vj?!7uQ`e>i4C3e2LAoZu;3|ci0WkGzO`0{<W?yxFK*o(HKu}}dBW1G
z+ZH`6xphvZOd6?@>!bP>RG}GY`-^LFevU)n)qc7xWcAfm`W4hsW&G!H>ogN$YgT@I
zaZ(P1!i9QYXAQ(CSXQr6VqxU%k*{vz3b?a9hmrE1CjLY@yZ8CBV0tMgoaeqGc!&3k
zxRz@{+~eJWWw|UcRC1X<;YtV#`gVN(yf)$vK9m#XVT1ERzW;Fr6}&1?H(|KwV%M7!
zZf|4RC=Ljfxgw|v$<4biM4VxuNW{WpO4Jy|J3HT;TA~K7=jnacul1lXQ+d3!+!$w8
za7RVXt3jkM?AM-2eS903Z>&0Gf;rHyeVkXv=`2mFE<r<Ritv;L2AZPl@)&RVf(FVH
z_$}8i7^0V4H9G2N2H_JM;-cm>p{n4bH2K;H%6^x0|Av`klf<Ti`{P=8+CtNKX~;yb
zW1;Goa~AkO;_!oS+9<m5-=1^pn5fDuExKK2iKp7Zm3j|#u>Wm$%(`GEEc9udR^rxp
z`!4oi!aiLDH;l|~Czy!XReFvdWCQEC^_qr?3@Ayny<YYkLGT8zT2_HA(xn9lA7wER
zwmC(&`kx`VRvqv>K4=F)??UI5vkYXlpH=?%)BxAENSFzT0_hrBw|f|RxO+svDa}Y9
zXPZ=xY)%I->`J?5pa)}eVP9?_11;f!V#nzA$hC@5wO^u#TavtjseU@pE_YEe+iQ<Z
z=OerYHyE%v?eWf!vFPQg?Ot}(_6R$v;gh*|&!%4E8U22BWNoTC9Xe|d&j00wJBR5a
zfzN1o%XL*0FE|VzlU?+|oSD1IDLU}fSHBt4q=d<UQR#ik4oE6=t|&;;MzQEv%du2>
z*mUbE{1$V-b-#TA(#N#$#I`y+IZqmWa$Y<(zwO~YQv0|sKodcU+<6>}IiPJY&7wWC
z$Jm;}ntW{ycy9X6zoeRmIp>LThgf^~_DNQy4XQySphJP%P7q2gFa2D$Jz#c1ara$S
zgzT6uwmZv%b()2p4c~$Cs}q%LVpP!e-qU#H?IoDmvR6tv9?;n>tfqQS373L?G+pGM
zBOYqBoQ`1t+$&}Zf>tPEuK}&QNp6OyOU~TDx<uf=Hvy)jO7gI@SS2G7JV8VkUU+!w
zvmK7uykHGV$zuM4l)ugWQNrPNh2Xr59h|cT`D9trI5#A-q_pEV;k`Ti5zXHgk7=fn
zvO6Uab%l1R|HlwvGB!}%oMnTM9!vi#U&ImKZhv%4Z-}_Qx>ZfI&w4SplG{#hp<{07
zq?yghAtL;Y=3#4NYZ%|$aa~nG4Cxt~n&Q+jArtakrf|_i#gi)I4)%(m*X-y~>$M|9
zX>?#zVv8m8FWWSheicH^rd)y6j8Q`O(=nM*mL-zsrkW$A1W}de)Dt8>PB8X247Vp+
zz+6rA$y_2o?uMCLFRz~<3KJY1yvEF-L?Zk$!3VdJN8%4|O%c3nHp6b6IW%2<Rv**l
zMG*hg61jpIBB0~CT1K@Q4sPnNQ(wjdh0^A_-uhW0GAA))orxKEdhgfEq;exyOSp15
zZH~B^^nCfwTc+4lFR|TGj2p6g$$1^o3q(Z4vzc!yrl_74Py6zK3(Fb<Y?lAwfb~YD
z<(IFTz_<O=$i`z_C@cI~sp-lI+GE$C8%ie7b&Y!ad@mQg%)Qh1m2koGqp25vo-zJ~
zij5m5alz<8Q#M^^ku#0S4;l=NahJ2R&HFVMVkiBZlppb;S0l=Y?<pJWcq=-^HMpTN
zxpQ10h#x}g^1}`8Z19!WU3`9x8+$9(6ED>SL0jFR?a<4DSVh(WE;}Av_xN{1jz<_t
zLBcoA#<6fS!u9z3zdR_+Qd#g=4D^@g2%m0s7Np|uDeZ0Lg+R{%k1)Ca|DV}4b)uGu
z#GdDhr(5~plwJHj(}9kT!|mPVUM7?!HJ6Y6<44G+1IlWP9K4<Grt({di8I?;&wp|d
z#J8&}r2D@};9b-wZ=Nb6+?GncmtQ1=BNG9-eXdgAh_~_nXKw`2x!#{NLIm?anH6%a
z(onBeeE;X2A)a+^N*bLJMZM4Gx*aEFkzta|*tXpej3-L}inoiw%3#N`I&XPozI=0b
zO34r=RX5K$@1ukG`>^*56cHQ!dt+jk0bclUGea(k!yrZM5#3t}5ACkJ2(2{0r~Dh~
ztVRjoLh$iwM-@07{GB3HW`Om&0|iZLQiy+K?esHR6@PVo(>6UffG7XxHt!T^{2u@S
z0RR6KS$8zm{~tE5i>&OGd9Q0-_uBjOa!E!dNk$?H4MksC$S8%Zw3JcNup35ZK5s-;
zG7=J5rId`!tY5!>U+28$dCqyB=e!~wdCU5~kO!%4c{wH1>R_&W+V{4&7?^caG|QP4
zA$}hv<1SF)scT+00~d!aR(**zhe@EoCbFBmoC<FeL|^1aO2XGOO8My@$Y7M-9_i?+
z0jqS2^A8V613Rs>DaM`x!`SnUHDMa$FCOCbI3NRGo^y?-e^iFF^M6{J@6y0}FVkt|
za#_&b^JeUcyDBWEDtUM6(P7`=hvw(n<)Bf(HF9xO4FZ{X>l7B~5EXKEvhue)jPa{R
zSR9~&$pljUuS*k3UL}#eMHGQE=9<*K*BZcJaFKgDwBXK-qdeOfB)Dw9F|H9#1IJfh
zY0)#<5R=|ZDn3aDXTNU)c0@W1=F!tqX}a+FoP{~xEhPvSAD7e(q=V*<4}Y=~^&mCr
zz!*HIK;<8U^DX6c;Jm|sEP-GE$5qR|-z-;#Mz4j>wq0}xdz}(%a>Ec}y+5G392L+|
z7IgnwL5H7)nTn;##?ZwV$z^t46}BDO;p%XL4sTWU8x`tJ;GD;c<ohye@asv_SkyQT
zYDSlJ>>V(elB!l)Pf-Kkak(5BG7Vx|&C+Fk0pjDee3Ay#fKTYc-`l=a&}Ol6U>7n2
z`76YAfp2O+H8$MmL{Wp%;QXoaJTnm8k9*Qe)j%pgyMa4X89rTGqgpC4z-ZFyM1z$Y
z9B&yuEc%@cmu;dnh*ue~f8U9gsVr5f{cxaQNcbNfDu-$54GdWB=1BhjRt1VfoPw$t
za$qGBSIYm50TL03-<n@5!}5EDL`5!XX!DS<`2C#$$?m~@T=5jBr(a}C{UQp%-R^6@
zI~d?-ZWYUJqy!y{1ut9V1>vIJ+}wjq287J&Y(3RY0&SJ@5v6t>c!4*~thqDbqLtFw
zj|Uau+ED6G&65O(zLUEu#KQni!p)5xqw?@0U#YN{%mjsz@7-#jo56>7m#!`O$^nbj
zxzpFj7ci^c;z5BnW+3_eLAmOr42XViU{Dt(v2VRY>te$IYGfUrKxt{v(3BS|4jsS<
z&nE2z0|6>;8!=a(mH_AC-L4NyUt__Sj;9#212B~sNq+q$3Tqd<s1d2v_^|_vD?c?b
zc#xrcYT|}4r16SxKO)tMe-+_P3UW4u2HnS3g?$9U|B;&cC$nBW#Dcc}@D&rd99+rb
z;VS?M{H@E`dp_ZOmRF@?%Z#BWYUc)7oewfa!mD$Be!|If5kk(>M)2g*Od{heH$2aI
zGyUKFeq8k1S>;VNBPh?=ejx1+5lBxo^0kIO;+yK~rQrdFV6?+;OPd1$@_uEj9N_N8
zIUT*`URM}^)U96WE+#fO&NLF}KhcICDLhF?AR2(m4MBmu3(P><N%|C&TZi{$I0Tis
z>BAJJq2I2`1gXbg@YYT}!%ycYH?zIcgWL0ov_~fE7?UU8d8aSw*!VLcLlYrAVA<2l
zE_dTE#-4jpc-5f>>(COcRXwK*<)KYX%(lyzTmMbZ=C&5>WnZW9gCQNb85k(q<-Ul;
zJr&AW*6YT=sC($RjSkeO>iqruW*##cce)_N-j5aVtkHccwZU=8w}5u$4;B|u=NJ8M
z2;-mT`07X127#cn^Vvt|u=GTVxr@yxHgxvSdH1JUz}s8k^W*L;rd3u!KT7+GNp47d
zmzLK8v!l#WhnZ$EH~fbSUHUub*hp|l&eQ}?m0|_U)EUfZ`>e~b@K4M?{c2^Vq9*vf
zRaFf3n!z5Dl8K(Ozp;bjX03+#bod&kpnlhJ279a`arI&540eH~yxK;G4&pJQ@?QdG
zuopi^hu<;gu!k}CEb8iLaI9ApsT9p%tlJFyqL=<)-c6PFZ#mFl)rjZKr06X6;&Zyp
zK>Y&do20zY|Gfq%R*McvWX@vzMiLUD1xr}ONT06N1{ECFYqN}Y&0(QrO@ntOE13U*
z!i0P+Dx5T}P2DN=2fMcXUq|2QDmKxz%zD>f9s1_QuDs=)$5?B%<$a7cum+JrbD<(N
zI2Fs?lTKQ|&U@Qtt$Q*-#AR^}+NvrP?oaijdo5xwLfQq)YMJ4IqmLKCRuxVXTjLKl
zE@7R4l{vYltT1shmspdj0&{iEQ-1qaunf7T?1zJF;J!yfFkw>}1SxlZ$ndRVuT7H|
zJ2MGj-}Ggy@`y5+MVv@0Tv@}m7jHhGClTS894+!uCk0f#q_sARZepiv-nB91alvTv
z>d`7o3Rvvts%U$~1d%}kA37JefVshj?5#ISuw!J!d~%Z+uKf45_gXL?q*NDWjo2zd
ztkT)>o@1<_8Z{-MB`p9yKlL|643c4P=;wbYm)IaG-)L$nV=MgHa<4rsm<;i(+Ne99
z0Ce4Z;^7P-C@CtjkXIyw+RAuLz%?Qaxl3N};t_$~$`0Ly0TN8NEVcf=!v#qv?|SjG
zih+RODqH6x5-h8CH|Y0lfvc&~b*>}{xTTKO{Jcm4U$x_R1FZQVgVZyC&PhRC#WUs!
zKN1)=mec1}`N8O#+PQ7(+hEwOjyxPlg4zeY(qaE?1=pl~qe}y_p!AkcE%FWt0uShL
zT;~#k3DfQB+>Y|ldXV*sKtBm;<gUb6Hwr`Vo$!tAlM1j`zJ2EvAOoe(bn#)fDD2(%
z+Zmolf>_hw)R-<Z?30eugBRk^^&$9Gfv*yL&RcwP`L+^x<qu}Nj7UQ2^@9n?JC)&Y
zR+i+=>lAoeX}bHg(KaATXPr83sS3Q$2mDU8{^P&*moIJckcC3FkMmJ>>M-T~)LeVF
zDwLjodFFkw9DE=pZtwQc02j=@O;Ao94n4B-cal&5$1Ir?ctryhf#|*_TMbbDW3xG*
zqzIu*qX*v=(_wnZVKQKn22%lCwy*igkRn<cGW9?cdRTbXybo!DBxy6nDMbmMZsR<D
zC_oDyFCV(Ko2U&DEcK^9N-0C1h=0>nacvksGPUV5tOFB)R)X1gRUlLJa?wPhHWWL|
zs7#FgJHfng#v>**sCsC(kN8F#)?Vix59BfguRf;yeb(ww?%^GHyHFdp&6pN8?=S{(
z$=#+CK2$JZ%E)VBXv4LQbkomqra&o{lDqJ4kM$33^vN(SSmeti;hq3uXKrV9|Iz?`
zd3(-CFHIm?XO{Q*nE_X;z|-BbG)ND;8$p?;!2u2BM%;}7-EN|3!!k4w%}%Umj-&$b
z+`~eCia9(o>X5DbrU8!<GI-*ORDkwWS~=#eIp|j0PS(=ZfR|4Wt;=PTVaPY`Z>z2a
z@UeWadZS5&0LAQECUNp`_0mqB<{%5ua*RCDKduHD8ZxCn1f*e@QiI*OYyr7(!;bY%
zs-P+Ps)rgQ43bZeUHjo{0TTbMa^QEBp`&cMB*dKuV%~{f-%hdkH_z+Tp;9FXaQ1u9
zvX>d8DDoWqZRX&5u4k0^ngj*!w~%e=zpzv{MoYD;Ih^%h>!VaD0GzqPyKvww-Z~6%
zDgz97b)}X&tx67f%Z9Ezy*q>7eYwZU*nt5VPJtdJNiraN_4i~Vtl}qZD9#0M&EPJ7
zLrz1xBv^!mFVP+`Baw02!`#MZ@a|`k&}B>vXo%vJ63d46r@ojQECQgYbq9w05CZ3Z
zW$q7G35e%bglm&JK=$n;x0O2u;0;NE7SO_hh}j`;!wz6@+kDY-dWHvT3SRGc6-GoO
zCW{yRd`w~eUd5ivHAHCj(^4fh5z&kwc|I=G1SB7^{7UCwgXl|V|GUsYL}O6{mr^r~
z!7}D$>-YFgjOegbBygRGKJxV@^EVrT*^A2^jEN=8qDxWfk}(nSTb7b6HVi@6T&TvK
zXBLaISq?ND;6N)`an2FOhVc9F@PBrnzGBI_Um2<wI1uhn@D{pk05_v9c{_CUU>$xF
zR-UpPNLJ3}id&~XFm3vc99_)BLYDhdulEs9=#_=2MzTIM3M-8kB(>v~Cvzhbvk55T
zddG$COM0Lr@zgz(_yy;P6#iL}Oh9&&{gt9$b)luHwOBpt8*W2(sdPvsptciTJqEjU
z!P({Oy`551`0={CVNLY}L<;yWGFzzw(Z$)EvC*@*d+wv~DLxL=v@H39m8t`41*TP}
zZ07NU{DSW_BREhzW!Bm9sWz|#ub*NcTf~LtJJ{NUiRf7L-}bu-+8~nhU^v!o1>ae!
zEY{gcM6aR;MJAqT!EY^*&I7fp_}-wux1CElQB`zfg_61!%<b&`EF`&sSJ}=m;%m83
z-X-g22P!myCA4_g9s?$%c{Gh!vBZt)9<R71+Gv8UOv*Ktqs)l3Eo0Etg$IcqkX`N>
zrbAQ7#iQ)^S<t0D0&1l1ylCTyE@@vV9Sp5=X6_BKqV~O>1U3hL#C<n;NmrT<&kk*?
zJg?4<c9IUmJsSZeairR~vYrNoX}_xk6A38)ieneiZ7bS-tV2>c;GceXGg)Y4B_ffH
zEQhBtg6ObPKIgDJ4Y;1q6n{zPM5-J~@k5<L=;nf{(*1G`Na+zV$}-|cljbGo=msLF
zg~-RUVxR#>ZXCL}i;V}VlHcViBT>|tUwebEl?v=y;)znzyvS-dB=0#Yj((Lqd+u_Q
z3Y%k7xmn@-=svU7>up++NVb(KnIunz9kkVjl{5ilZd>a&At#N_sWWvw`=t(d*mMbU
z?OPH5cRr&U9T}9La^8;6t`0B#7aMPh3Zc~N=O**YWKoE#(hmJ*b?}moy<UDn7-jC%
zGdeLLhaNl;5o3&~!{iEZG%tuC-mZnP9%Tho{jO^!Oq>cfm(0dm;>D16PIR+em?F}j
zGc?LRLj|7W4eLRe1X`<i%=<P<LPa%?gIZRo@SG;bBg`v>lD(DkryZ4$O_`*qS)K-j
z=X++HT9!txV=mTwA1LU(_J@Jy?KDv2BFNlYmqGOtM6=({D#)VOj8moaUwl-RKFA}7
zJYE%_92inXwD#RQ{<}bjgo&7UtQ2`P)~(`}>8_60?hjnL4VwS(_Hql&RssE9iyS!m
zo{Bz9wAqPJv|#Frn^J0!BBJrM2)hW<(5>EY_RTbHICrAHDDNQ&ZBmzL`UNy};Ky)#
zf~yXk780%d*+NFIpSjfKs?t%Jz~nuq$GTu08*j+|TM2D-FmZZ%jgD@zN0!mJ^ud`^
zQnQ&=85Kx&-&3xmBgy@X35Q|~U|2qe-H}}dwWKyaD{1{#XCw94h^P^ejSKT^eySin
zh&=Wqla9QV{vHy0VGPqUuRIl=sUnTljz$eLI@&51I#FS13UM*%Huo&m(4jWVYP%d7
zTI&9qWZr?ngu{+0*=K4f$?m0X^GgkMqSf?`^Fx4@$3HE7zo;Q6rdnp%=j!O*Q=UCE
zOEW0#;z(`ysD^e|{iu53q>82nUZq5QFoS&}EoNyq)X+iu6lZswf?~Um#Te~ifNs;)
zU*UpkNXOE!eD695<*_Ad)TS}uh-XUYb~jb@jBLustD=C0EXQ)VIvF5c@BOyrv<kZP
zSFrrhL0LoyV0-msf&qSg@tOBsm66BDrximNNo3*l);DT|0XID9p>f+NsK8ca?$TZn
zlwiuMT~Nz_XY*H^_!`N`xHc^3FcLs=u5ax=#4+H-2@d8@E+ll_*QE%2xX~V;(}AoO
z42ZIHQ*#(qK#7_!{k4y<ArbdTHpAa$aP6GaJow5ZSJ|Y~iSujt%ICxcTA~@qCg0tC
zd0G|;&DHpo=>NfITZ=T*mCPVk{oK|8W*IbUdz4?Q?;D=~t}^;}6+rX%5AyyXg#_=b
zr#(E?gXeaZO=s^0=#9H=!k#6Lh{<D$d@H$lvXe8nP#p%n5-MH2s-j4OMNi>Scs<7J
zX(9RKyD4Oa@fGhG5kfwudoRp-cVX_1{S17oDNME*3|qh1iq6*Ykeh>hF}AXq3s=od
zAYIc{#J-0g{qXxPE%Txu6Wx-LoOi|;f<ljXcPa6rtl`8xeGmJw@k@)gSDza}ol@ZI
zq;)PN6BYFRV@EGmXU5c^KWzvlHZs?@Qiv$~@-Yv&XCJUPSM=>Fv<;#2^MreC7CZWJ
zGJi+ejSlRhVEVyt;RX=Q-V_>olojPz@1H-H@D|HCuWx<5LmzU(K8g(mGNT07V<VGX
zm6+|MeRIS=p0c@m?0bLMCVtmi>rjSKB331~IvyUW2UI2N(CD}|ywYbdK$upH3q{uw
zokny)#Y6V!LDs)`-^7v<pIHNLZ==}SwOtp+dIPAJJ}==z9~5*1FLvOre0{C;&van$
zqe%Z-o<+P}%fc$q<s+{3b!1~hQU}C%tnz9S=ka;&%1`$-KjSH77WWS(Xv3{9YSy^Z
zAG~H;n(+YJ2)>!)^|P8q8~UrqJ%4-7;qhVfODVHscxlPUf%OnAQ0FP}GRmICALxI7
zAUyUBk7}-~XIs&P4)3z^1M;)D`c~q|!r%|w?m{-P;({i$Z|Qng-#&w133YTSpZJA0
z3Q@<{Ht5h*HQAq$GlTEUUZdKu{?kQEyR>?)&_Ofy<-6K~8GJ@`QvUhFS$vp$>ZrH?
z9l}G?3iA49a2?MtMpbrya0VEK)jyztHCHF=DV15gh-T}0NN54yHj>8MM5h5ObIp$8
zfBCN}E|5Cs7ICZ6+jGW=8qg-YK`k(x!~b@l<-9z-jPDZTwzz~-VekD05#Hs0@dbK@
zCf_Q4Tk%E0fhBb)^BalZ(*FmyY&c1n+`o<!o@S4<>Zrqi)>eFuL-TmAwBiP_Z4-wl
zwQOI4)u4ghjAIMuA|6jQ;#V?cM%5aX?Rkx=U|L$Z-r~B1pBSU1&E&D5(GI+CkGLxM
zyz|+3(6fxsis)~BZp4N@eLfS-6sQ84e+c5dp?~po&mz8=X?B#lc{XCDTN&<n?EA`V
zzlO6|UUa?M%7N}QpShoCtPJw;)e}O_8@O{{+Loj)PPF24CRn+U0uFb09inZR(4Bt5
z<{8c{=(>vh<K1Km)U&6E=v-w+$EQASE(h@<ufIQ@X5}cs!|rM4_z@O#KW!sLD1jfT
z%yz9!YbybzT5Q_NgAJYMJK3kbDS%kC@vYQ0GMEG?N}OOJpxY^T7^OD_(fwUwmt+0O
z(0fs5M6aC#{o1)(ENPc8;?~Z|J1I+smA+*G{YFlN3lEEZ&=5tBj_|xn8YV$=Zj_16
zZ*C+t=rRA$L>#S!I~uOOBtagb@Pn2OFY51@JkA*`iQYz?ca%*b0n5z0N80}UXy)&G
z)wKy}R42Sj9lJpS5BoBYJG}yE{eBt`?{-;4ew%u(Acq9BoY(sU4hf>4H$%iNU&^6f
z*8*w5pGmNFhvuap+`_0~`h~Znfdaw`??p{(l41X%6C!>VK}kQ)9(Nm5L{!(v4$qfl
z2ou1<Qo6*DUYKKRNje!FC5*BUA5?<tyMv5ZXCzRELK}a<847v~KabHc3b0%()MwL|
zMiSrOrqaAs(Bmhz2DqCtw2d$oKhKsy8u}4Ar+w5=X@#fkxf&H1;3fE;l95AqEjfD5
z{6|F+#up}n{nVgO<vL&RMS0ZIJDbsq(NNTdiL6(rsK61aHC_8t0qs3dGSLQf6v2DZ
zU&e<9DA1v1(uagPm6L85X=|c{9d1rW4gYjt^jZ#Ml8o$1ZqhROwUDRWxyE%zEx2QD
zw|UE-f-WyV$l7SpLQA$qXJ3fwfRlca7T>foQhzWsX6&SmZYGKToFwQ$=tA}g!$TDb
z>6Oh4<!Gb5`5aTTQU>t;<K0;MQZ>Zh_%eY|qK#VL-#4_hGlD9cC&IhFs-pm+)3(}E
z+DPtB;-2^<6TlR_mb*r&DC7ybKDbK@eH69eS!~6ie|lx_P^JdL>>pe@IH-x3BKAou
zE(4@*xfwFdO+z~<-pckj>By(_CvWv1GkDp(msxNd4XyIt-<P$ffv8O-cAwfAU{O?8
zy2?gF$C&*;y*r?WM6KSGnMay~V7-?2Mz{vzlD^Rwe}aMtook+Z*)5>?j)}KSCKctq
z^SpA^NfDi!m)sfUYyqwk72%3O>PUXrfXHGii*mCwm~Vwxz#xz8+%{G<^xvr__U-**
z=(W_RH<JHZKo93ln^0F3H28_#GWeAMdOhrO?u(fPoV@XvZ7G_9b~+lLe*J=gxMtaQ
zPR^P`?GfB3?j9N0rry@ecUi*2Eyn*oi!}%5NLk<HbVamBG3le+scu}McNuo`n?tpu
z+flv@d4x=YM!ZjsW1@B}Cq&{I@ca3F^3Er+Naa9%dz{=NmSggBrzr~qWIY3?bwi}l
zudbfLW!S`mywYxVoi&3A8tGeUpE#O{$meTWXMwiI4I7QW03J8^h{^kjpdAHaD`9Tz
zK;68WE#(8i<ycNPHxfjD-f~$!n<4-?_7=Z<69$LBbXSR6^P{O7epz*c91wTQ+BUV_
z6fRbk^1M;wM(20Q7T<Otf_L3gh|I7F+&5}sm$x9GrTbPM#sNgoed_D@aLpJlk5286
z?Pf-7;(eRj?TFy+IkHluU<@U5T*O;BtGKU!>VL)@L{Jy5`c=Kp2pFbE!n#A}|M|W)
zaYh~oyzjAO=1Ve!BrTDfsfxdF>#c9a%Pctn8<+1~>NEiR1}2g7g~NF65oxQw2?9J1
zv5<N%_5XjzQ{QK=oACwtdr5ol5WpmKOk(YnK76+hwP0#5#SVr=KCW;kfN|-SL(6aV
zAjG@q=gLSArYzg#$*oNQow?w+JxY4udL#Q|ywfQ5?ZIH;UsVFw^_V_=6t4@TG@j9#
zEkCe7iIhkya{_4F&<8S?bRhmrckg@kX{;)Su%A7Y00x}9zHuGZ0qugJ#o6O?Si;M9
zF^#<h(7o0gTQH~%haQ#la`7!-rm1>2x}7*6I@(#o(^(tZ?4agN;u4n2xgun<&H=r%
zOz(L6v_P4BNTqXr1>4Ua@XN572p8Lw#h<!qK|sq&Gq3F$_UZL4v)XD-*zZy$ApcDh
zX3Y=JK2F`hq|(o)3iWe=2R86AI!F_y^W<;voMi$wCD*(=GF#x)#f9E)9GWmW*icyh
zh#BVOQ$q%mdBDvr)86GF9juPBzmxpL0$x4aJS*vZaF(7Z$!<!AQFMybCB+8);n$Y$
zNAQDp$>T<;5gLT5l!or}X9q)flO(rD0mw^9*)kGKgB@?O!dQ9;V9ldca4>x<M3v0m
z$kM05!*<0_D)vMW|5o^t&@Bk5CyB(E0S&0LsG1U(;DjsTS-Ky{!Z7G>x_RC~1JZAn
z)-K-ThNpT@cI~?-0_Q?2-fDlM!moqHo5Ck~V7@ApOIl3~6caXjww$KIP)X^fyu*Bu
zzcK$19~Ot0ou#UY|NLD>WNXA3#1FfCtL)3lC1G4?`=gj1b!dxEl4KbdfOm(2=nkdQ
zFdK3EtVp&x><svLm}8qDIL^txxYsKKCtdesKDw?B1#cEMHvNS_DAZ`*R(?4U9M4Ob
zzoiag?7kG60b$Sy-{Ty-LmoJ{3mT}Fse|}>1BiQyLa39WQAV-?oTw|$ZT_nc?HgZM
z53`7accj6+Yg3A_(s70K;xH9@oX_KLaS3pDDEgY^LI%^i3$ntCRQS%FzYug!3XE>+
zK0MK_1dE)qdxKtSKx^_5HkPDqP`BqjcsMD8e^b_U`92yv(sTBDWG4$6!iAz$!z$o4
zRm|V}g9a>n759l8k%P0V>2te}slnb@Yt#C4Iuyjd`)qPq{vW=bJof!i2kG3eTMzkb
zf|-{TcXyrw#2h<Y?&zcek!|@=JcqS_6;xSUdlf<8?C*NffBk;Nt<?IQ*9K}WyFG(I
zh9(hjyYvYf=$CnYSp27N`<SGU1<;k?+}(|V-5zwPA#v#aVABIMtIC$+K!N#3l#2CY
zI_zo=T&p>&4;v9|ZpVC-LBjmg_lzMrNb_0b3T+y|RiF)D^HKq#^+&9~j}9~}AT|1q
z5xAqWQz4)VyNUawiZbZXX_j=LMau-Pf7xPje_0jWcYDZFRp_8FaM*3W)f5aE6^+%G
z)nKHd_t&?JGzdG9&l{@@a6OW8@5+E0NP6bq{;I11H-?Syb3*`Sc02!Yud0Du{~6m=
zes#FB#zbWcHv_KmCxLoj)SyM`x0P_33h?(^bzuYsL?3R55{g!XV-ZIwWs^!UTQqt&
zB!B_>DitNme^fyl`ywkRMuMaS<*Dmc448h>dOb*46&@HbhB1ugp|_pIl<A+ZbPCAv
z6H-?JcaHNjo`c&UIQK&Br$7JvW{?%v3cE54j<t!6MT>*`_HnH%;|$nT{F=1CS_z&_
zp0&7fR|sqp1n1qV89;u+6+Y=qhKMKXu%FBi&VB|X_TdarP8oAPKduOSkAExq6H0`X
zsM^9PIs+7v?f6}M6`<&&&sT$1W?1Z)^j`RA1}l`!G{qlskZPnd|NY1^_Se4hs8ygD
zRJe(%oDYzN)8Tt5$Krlt#mqY2vN+9P(@RC<Ir}ycdNnO}Pk0!U{NSXXo(^zy&Gw<K
zwIryOUFEf%uE+id0096043~F2)omEY?VUZ6y^n+A9LHY2+bkI+N>L=FUS$*^GBX-x
zN+ePdg(#yGzXxfMkkwGxdu9_}|6YGQ&-1zO=W|`(>wB3sBSr#vT0B$W@?tkgx>Ske
z=fB3k(AdN%MPN|H|H3EMOc2I&INim1+i}X?FDXI!hA{Z??DGspeo)OjW~HI|9j~>h
za2;zi08MLg|D^>UsK3p-M@;V*u6{*k+Ly)vLNg@m-*R(9R@n*v6Y0Nk5@WMLwuU}v
zs6DLLsN{g-e$9!Ue}3V2Z8KC#ef7Zg?n}SThpeE@oc*6c>QDS)o~ZGQGF=e8mGtTU
zAQP}8pL8n|{D$|7^w1`*>OkW2c?IQ*3=lW&yQ`wE16O);Hf*<<4&0QeDn4LE2e{4N
zQ}o3xxU6u_oJhJh%sg^$2|Y^#eHR^Oig+9F@(+ICJfj6RGilNLu5V(IhmNV@Or^MC
zm4trYel3V(_7^XCxsD}Uyfq)w&BW&SR!O~nrU|QoHUHI{u43Ji3Q8H4HJEO8(545E
zCaC##n!TnjV-sF8Q=hj!VSoP{g3u5RD3Gyy84|dNv5!prck|&_ED-d2+s4%)s<xTC
zig^M1aaV#pRQDTp(ng5O;J7-3Ye;zw_0D4qRzus0pMGJqt9$vgzfxh--M`ynZVvlo
z{vr8OVL!(8oV~8oiV6($md-1BbJ%4Ui=hPHA#ABWPrk894eo5+t%?ko#eOb7U5Pgs
z#m-N<U`MRf!0Xjij91$XCf@j}OkQvTV^;5c=GRVvBDovUs*y9;#@g*~{xs8=m-E*s
zddD5zSF|Q~M`v*VeL0494)czDt-d}?hWaH3?T*hg*g&Pwn=7gF*v+l8QRV?;uswTB
zVB2{XE2YEtj%Y4mnHKNkeln9G+_EM4?VdTz{z_2io4<<~p{V8M2|ZPaXFDW!;K>|j
zJW?sD)wGOF7f4_9J5K_GFqP~<`+00_yd|@}ZWS9-(5M{CQ-K4F9mUx)e=)Q0@A6i^
z*RiQnvNzC>G6)u1iwg5EU{{`5C{@XBVz(Q+(l-^Ap+jU(-EoCQOwGDkJ~VS1!`?>j
zEe=qE4)&LC2Ar2LZ$Wd>a%ozK<?qoS{Xm5H!21KKZ<jG?;n~+eZ_|NEmM4F!BoUqz
zOgg?ZUd3W?{$t!k21woYBIZtnB9JH>CfMQ{HlpqNer|vfuIF+thK~}UT5H4!>)gO-
zmbO?t-Z6t{5%bml!vy$JG8`B<vWZ<WYwLLQl@<Dr=(G?%D*$76Z|ij-8nAl)lcdGV
z0qSlKO#kdxfZSleMz>?MkYuj;V>^x$#ET@tpMRAHlC4FW%Nsgy>C!)WFN+(_oh$b7
za+ilbvpHucV1QS5hMOt`c;UHG@&`Uzd1&Q6za2cu2yV-AZ?G49knWlKps!F4<i39?
zlts+ob*z2EDnJ0{rAE>%Ps+ie)BPfB^{in2BEg>hln`vb@4hS|F9$u0T=^nP>`>wA
ztX>`>3`3S>8Gf6xVA|Fo9e08g3Nm7H0vknOzfNb(w=r4pQmQ=C9nKAH(zgyc8;e6)
z<LSGHCuO0pKhTnSjt8n1It`OAOG3ee-w?zi2gf~wzh_1A!EAql;>xTPWEjK0^QLmJ
zODm(ZT~h$YEPt5uMah6e>*zn8$8u0-_8(TuBLw@rgPS+Va=<%h!M33+59JAk9NPTC
zAn1`_zOW$=bmceyMGeb?T$(N4Q%nSGKFjAy^b=tFy>DSd08~J$zo!B$MQFMHNfU$S
z-nk{^UqpEK-e-R_og$=+Y3BE_O2U15SLewIWoUZel*<xG1U1*joahr$5Ih=nt(Q&}
z&N}i0wdg8?`#ovBsRn6~&v`HJnm~rwZ|zGAM@T?ebz3jhm4*8JguJX&3WPkP{l4T$
z2JQ_tA!@B0{5r1MTph0lt9oLR)7=!{=<XFbW1#@bvYf#=9#m*6o@Lz?Oa-1X>C&Pu
z0+7`VP8Eo$!;gX9>!#KkaQVmPjc1NTkT|>YL+Y_Q5K>?I-aeoO;}(Y3+`lM6+;h=v
zt|@g`l72qr9i#&bqcX~;<W%7Hq{Cb59X}dRt9%M?^`QLM)r$l>5?rbGf3u#V4xFKq
zM1OWexbahvXJEf7=pMRiOxH(++WmuPLlgn<`cFbKG-Svai!X}#ss<F=Bes=>MxdJO
z5oxPV2JbM<Pp#e*n6_TvjnFj)X69$jO9ngo)`BfZq$(tZ-Rf!PH312!?|Q9!$nfGS
z&H1h}C3r{4PK?7%;NxJKuG4K*;CCoV_Rds*py8R%k$R?};t<@)l0$-A<b3PJ85x+0
zbqgN7Y6`r@!4A=mDqwTOl5HbJ9C%gPv*5ld<ivd_|MOJ|$UdJvs~ZHNElQeqG2Rq{
z{b#d01&Gk_OgGTVlnb)N*OV^Vn8Kbb5iY@G0$e>Ao;g)O2d}5)UfVC30OeQXu1jk2
zFvQc+Jm@ovaqyQi+QyiGN7tT;Uj$ho@N`M44cFl;RZ44xj3!W6<*@ctLK?;~Bz)o3
z9Bw40mXsH24BU509Ooq^VNdw0u`c$1cw*j7%F$UPNW>b&z0Zn5<NHtoZcT^gjC_CJ
zcQt~be{?Dvb-TeaS`iJNWkflL?8nr*0c?1qHaqPEfQhw|qa}$M9qK&)bHWB-UOJ1F
zNtPG9QVzSrJPQiZ&iS65fq}k7pE7=y6I_plWIeBDMbkIdo0}dO!iBe??ex1?VV?6e
zUji>1I_cP{m-*5F`Ul`;C5Zucozs`yE6j%aZtuR@(ykBQ+6ta-soU7g?$NZuaaNSv
z_4NC<bv>|AkIxW%x`M4gD_Zx@U_}?X7G_vUda$=CNdL^OIqW*oEP-8@6?rrJKF|G6
z7h+yN^X>>7!g{e$Mv3n%sL%de^U!l0;7X#?h&29+HKOmsc9AToB53lO+@?14RX&WG
zRDOULNbPg()MY^}=6-)Z+G>Nt+RfT3wNCu~gOG+cb{5p?zsGxDu@+p2+g_YD8^9U8
z1ahWVnGwxQYN8sK77V&;7E_*%<5+q|)&oWsWE(qWtQe>XK@4Sf{c3agRL4EuFm)F6
zNUrN~-;f3*`aC?%X1RbLkCEpKj$=Xhz8O%&j%vW2MAa2trDa_AVPC%x4J+b3bD8v_
zO&vo0KWB3Ht>Q7Z?Qz*TtY{KNAB?b3hm1b90@Z*GT(jMbjpE6Mrn59l{M)JE#PB1<
zVQCW=H?T>YabQP5Cx39oAEUw?-{}Q?4H~pR$-Ri_A_r2`7t5#}QG?SiSMA5WY0;$L
z6Q@tFccG@TyDbXAY7n(=E|jK-4iV{k*IuY_A#DBg^lxr85cJ!fmo!I@q}Cj`b<c34
zKi953WiO$C(A5L#=YbI^uh?>I*zzD+o1-d&2PqI~_QlsEhY9uCG|#CV=0&!><^hFk
zWH3(T*^|k=GnbgK!R-rt$a86h`DFnaa-x<?f2XseV%7Znl|}r>(qnS@v@;o~yW>^7
zwAoR?`hwvzdO<Yg!>Vm0LI$}1{`>VM4z$WARcIV6gm$4vSx<3Qu(J8F9{QCN`9{1Q
z8Q>H~(Z`5^509xrvc?@B-Lu?Ch04D<)VK#R>78?;Wm1Li#!XMlP#&aFi+M!lh@vyw
z4<9^uPXet<o5!n<c#&1reY2V@ab*1WrQXB)q#a)U^W#-NA98Idr%Jg<qUXk%bC(iG
z;B>iiW?WMMxeQH?NkvH^Gf|rJgLg^rbiZd%<6}YOvXUJlS0#=1F5dB`Zy-VWr^o5G
z%Da(YQ$s_<rVKhDHCAH5r3%k{Ohc`|2&3!1)yk`Oa_F#a1XIY4&k<GK#Ds5%pwj<3
z%raleBcJ%WW9^(|XwnXUk$y@Hb=g>O-60Ur&%Wz<TNlX?wl-PIVK0Hi`n|4jK2SuQ
zF1nRof61`mvqKvtl1PzbqIX(Y33-?e-zMFp0HtS_?nJE=a@$8^SCgcSI&CEHDVgl-
zeYKaL^_w*M@-Q_$c1;D%j*Hig@1{c8-4_;rR%DRvUTeOO)~ZNEKp^-yr#fVhYei^@
z$f00{S1;><jFb|JIUdVsfSnXp$Z05#G>F+X*gG<!91pGf;GhZHBX-FNP6~*j{Kw%|
zA_eLDD_QvzXhB*-`Y@L_0S&~P9&0{NK}K%jrg=O%5dA@0z`#clLFTL11F;lzA%E9o
zQGza5>pl+GJW52}L0`sleJSYo=HSvAzdmebTK?#jQbLjD11_uz6!f0(+5AYh0c?Ep
zxU1BtggzZPl_6O`M!A<=Qw$|ApvLu_&(l*zTl$<jzs6J%t=^kZJ#&D^mi!|h!<A93
zY;sw+I0@0bF=F?e2DsxFcqbx38F_r*P29h!gwFrNpZyCrg64aI)e)zZkz-9ct@#~A
z#O7e{Ub$uj{s}z4uWl)!j1xk9@>}w#h!`0g>tGCoz43EyZb~Ts@>a+LOIg$!z!lV*
zZVXNb%V(F<h-d}3FG#s9h1OGwhWx6Hp^e4raMxW$^fK_$iqC);Qhv;~Sc;6H{It`J
zxc~xEa+;8e@86Be3+=}iij3iM1!ISZx&q2)9;<3G<wvLGQ<nXrj3Ia???BQ|Iiz5t
zUfw0ajanN`czR5YVbVD><f6YUlDlE{M0JA&6;qYEW>$>A(d)%@7?TXDd8J^7*V7^Y
zPSJ7a93yyKeO;vJt`z$C+&iybasxl`gZo^-PL3xJ63SR8lIVi+F~AG|;>Z4Ex3GT$
zSha~P*C`Z3FF1dkbetH)n*xt{g?Iz}HKL1Y;S@n-U*soxO@87oAAY>ap$Fi$R-rWC
z-HnD67=I5Nf5iW_D9+bYFz|c+D%sgm5cO>r+oX18;2M!^9tqBdK-_iIKv<C<&EID}
zZ%Qr4>S({2vL+dTN6GgmWGXKTSaAH(AYO;jck|Ipzte}NvYGO?JN}SeJDc=~y8&Bm
zE~UC{=|Pi2@s*MEUC7YRzGh(?VG6sWfAAXW!PbsLzb$1$(yHcv_vcq(4Fb~l&7*aJ
z<RP9TxQ7Lu){jPeWOK3CB_8sNEjrL#SWSPnl@aa#b#XF|^D%z$i>%|Om<|v}^H|<B
z(<7ot;0gyB$Bov61a&TILs&ci8Fn^0#J!b?NCM6Hz3hv6!7W<wIh>_RDuxEVzs+=i
zJEH@SIM4kwQCSN<U=bsHzFT-h#I@k}ecy4~lK3~4$(q2N_*#Zm{~ylxs55<0z7JQ(
zDld&$)qp1(bF+Iq*71sy%YrYx2Ju}v{bvO{G{EMr{UOQ0RXnR(t|R>I2<~8C@~o#z
z9a;%@3ld9K@V9~T!|B2kxML_mvUtBb9GcXRDn!e;hFDFQT+B3nCMZ(lasw6exN=uR
z`IhlnclXf?k#o2gd2vo2sF3BZzV<VB3BSBKQ#NP$7ta|gf0vDR@<_L~%E@yHuTH<_
zzDI5mulnh7q0Lkc^p;f2txqoD`VTDcUF2TIi{5<RF8;j3gT*4^mDiT=v!Sg;BRs3P
z2kmB^@=*#{GvylW>tDhp+9}jGD(m?6R!M}}C>fpyGah#ISjKy5u*u{z|L~8-MdgdZ
zWVm5Paqr__!8It_6z30HxVz=%fG#%~Xu>pidCachA|7+qub$8#uBV2oy7sEDeW|>e
zerXk_=ViH}OHYSVoMf3SlSsgQ=q|}!ejWEw$h@i>OpjuC7{flctAN+#38~7f8#uek
z@7cc`jHv8;Z&;s*3ix-4?|aU(i7$BKCf#*Rh%5fhblZ7lcyXl7{#xr6J|*ZWdFvhv
zN-i_?n)sjugj-?x5hrO-`PXcY-Pvpiv!lIti>L(2YCY(gKP_UX_e{Fe!hyK;)L5<W
z5TV;cnt_l{hvt({%EyqnkkHRZA1c_1pdH2dTzG{Z8P<P%(>lP7l$ZQ_lW!;j&C_Q0
z(H$<Vt8H1Cx8y~s7N>HW1r;ImGV78KEi>W+Lce(zAG$?7ARSXefJd*5k8j{C$XcBJ
z-_=L~bo78XE@)4H68nN^`$9HkcbRkIf}Id@lv3;$V<o^d&noFc#DN+U{%ZWN7Dksy
zIqY$*3UGZjd@Y%k3mF{@aPhw=f-amoyC<_y0aWwVUyL+xBj=Et;cf55kZ#A}XyzS$
zcPj2+xG%wrW`0LE2+2tzI{gXV<wpu&l8;~inZbuHvEFoj8ZL!Qd9-fuG%G;$tC(9c
z>H<i#u9M;Mf;38|8r0q9Bf#ahBgaq73!-Yv*Y5O@vdBa?i^egE0GYp8V7z@dV&RP{
z=2nnLAM3V1c8V&(q}o$P+nznhs^|D#sUZb)BbTmDXj~C2kF3v9=){l_ao_oa6^iH%
zLe$!6B0Ma;;Bw}W1bSqko2YU}3EgEPcz>iQ!zsHEqUWF_s%<a0<`$uXc;4aL$KR?z
zMFH2fK$0}N{7Pcc*-I70Ge1{6leWV%y*;f*<7Lo*P|E059vQg}sWY?ok>Q!w3}Jg(
z7H!Ixl9jJh(ANXkW$C5WAZY!C3Drp+ZTJhD_a0M2WgT%^<|$N|p;`QMu1NuT^%{+y
zW2Yh(Qtt<S6%BZCBD3I)x*|#>E-aa+QPJPXO`Lf_6Fx8}G=E4Tq8uCjMelJciYyH9
zS?Se=)zdVwi#<wc_nKbAQ5tm=q<f^6FrW)*gTL_Nf6C~l8jI6PD;0g-YwY2<tPdu#
zQGbUQRZu~Hdf%)q6&;x}?+;+Zpp~DTSYJUxlr8h<chPEyuAz11Oe_HVnagLrG*pqk
zkSK4BCk4#}F^7Z%7{MiZ^&_J@bLnQ=_;HYtjP&yeuOcjV@-Em9AGK3ON_?vyKD8^O
z(_-f`-mDu#d&f%nsYw#r_dUHJ&rA_rOKAG&7i|I$FN8_|rjk$}lhDKGH{=jw+8e8o
zJ`=cdz{Aj0O$A+_zclIEB!vt*E`<d0m_mhX(F3MgB_uvL@os&;C~Bou5_z!O6c*1?
zZ|(CZqT3nU7|SIA6nr>Ne*d}&G{cIl)E5GJ8ZIqu7sH7P&)k$(e`^9CB&wyPSQXHV
z*SySvne>P`-=*$@y9uyb>`%EzkwfX7HG3;!7jgYm8EK!L_p2zKN?t!CgXUPTD#~tl
z;GL6xQhd?I01r<^><yGc56ucYI5mD_6WmSjKG7S4_>m{2E!Gm~j_6DPr^h_zq_*5s
z7GVU!;_O^>?IP%$TxFWsuT|{R{o%R!e*no=#WA8$yOCb^Iqs~3TbR$|V!GDL0LK3!
zA{RXc&`{f@Wg-VHgn4kW=d57xW!Jr*&tiFz3>KmC%Y+VI@!oT4q{ZMIdCpTGaUqSK
z_Vn6CI#@0G$;2UG2;5_b?Q_T25Y<HU=s}DgJ~=3z_)IZ?V^xAZ<<U&2Ch{Gh%8p(W
z%kH}1pbvlNb@QWd(xF?-O*gFA>7n~k!y++G5BM4^SIKLe_)5!IjDIB^5NRb?R%>-3
zsd)4#ZN>^tKjt=9bAS%^XvREl-O_=*e^o5J$L4oT)oD#^kQU;NhuUS$b)bHwytu!3
z96u;eIxrqg3tnCS$@!&eL+Q$Y_t^^i@Vl387+HzXg0QS{l+L&o+_&oCmN#t2_l1ah
zSA3>{>ur-J+@?ER`t@Y)F!lsjW4d!mEtLkEOJZwpKh}iNZwmWOel%b_y#y=Vn+9xU
zhEX7!CZOwWRr`awuwlvF#B1&}@VU4q**8D~q8@%+KvRD(`rV%C@&PoUm;buVY*-yW
z?{hF%eLI9T%Af3R%%uUpE|F*NkEw&Aat8KZZXDZdJSu88Ndws<l*#6=Q~+T)!2#20
zY%=Uiclse(7=Q8oyT(B(+%BVTyWW|@I9T-f?7z{%-5ckmr`pxvk?6-@&A`7{tyqhQ
z-4#0cWlpF4%RvoN+%Il_v|7ZNM5lN{jp^Z>y$t_WKLu{_^<Q@vU&a!fovr^67@$Y*
z4{5(I1>R)yOa1)2f<3LcB~(XYggRcs=M8iem~y<vm({k09j?fPht5nOwpr70F@p>z
z`)2Nbs@cE@xdGGWWz2B=_p4i8>SWlB(_OJfn^@<)@PRi<tkB~#zY_mM6(rPGs-}Kz
zV`u#?`8c+*K~sB5n#n8)l4>jml{sm_by|<1IhO+-J$jqz1|&H4TB`LS(1GanID4i?
zoS?DzRl?<-3e<3gU(>oq53viJr=NOpLy`GV@h2J;7!zLB|2Dw@;*F_Ga=AR9nX9^X
z)K3}e((dQPoMD27gxH{=1zsq&y5l-Atpqs3;h3Y0ERZKGPP^#A4>Q%lhpq)G0mt;w
z#jEdFVKncpL&%x{xcJ&9U*b{%D=lFcr$TmU=<e4kEfs>aOW~p9Dk3a1)5q_v+69HT
z(n>xh2*asj8_Q5%B4C$Zd4Hbgf?<y<cGIaM;FDIu?`uE=kK3>H4M{xExg~5NST6<_
z2Mgn`ND^V<eDJwTS9oD4Er<6qrzD(V=o}0cC4y(7aDeR?A54|dbDTUR1sYjj!>ZJY
zkbbp;<BG2U4Ec^q(HBcY=cU&5xpPElG6^=15E6pU-)%W$aalMfDRKM!CnBInakh_t
z?*?n_E33SDaxi<gEOo&~3G(kr=5)W`15;!llWj}^&O9NlyrWZw4_AJ9N4JT>t)fFV
zx>E#r?O-#IFrf^sWZM<b4RNsKyK%TOj|eB+X4y<QNT9t>YDDFcB%HchA@TXNGH7hK
zu}+>>1^kE8QhbjTEZF&EE-H{<!2apU{Oe?>?&*yk-z@_&Dt&O{k1BZOIXBftQ(!S5
z(katj796!_UwlPm;P+CVm3yoPcgx;5j#tV-&B<n9j-bFV3DdFqDJqOKRE)B+D?lb*
z8e}M^21Oy|xjZK{;5x^N96Bcg@TPw2x%Na22=Xtv%KmD?fFJFH;v7W?j>)IyZmL1?
z*Lm~R0&OTt58~`-Bf@{;UBfZrRB(2T+R6*kg<FY&E$+ig@Xzc-s68DO7U>_HuHW%D
zUH<BlKOM^OvS8j&{gE0xVR-YXS;r9mJP^Loo~i;ITp35qw<vH?xG_nB1t7CavOZLp
z1c9<`mR|f62%oB6s2c__xV*}H{Uiz62WDE`x>R8owZEIU#0UaXH6>r3B0-bpKgrwt
zD!}L}^i0&z7>=^Xbz6y%Ku_&`_pfb5c(rP7acsyKs%o^BGm}+7-MM`Ac7;4-i5Qk^
zT9^QdUqAB~t_&YPR+Pyek%1PY2<;PbJNhnvBY`p{m>FkN-KLQQSD8~+p5>T;=ls>%
zu{-}LC3ie;<B>4<p0RhGPBVe>0mCq!e+2lQf9B)&T0RJ}WxsaP%LH2QXa)KIrvT@q
zHw%@9IG`DUh7`dB)+gwGrq#<qsTk*7v{U%5+^iYMXfuW+Ir(>gIAwvc*OU|;yn>k>
zXkTOf&lpBza=TlPN`p6{ic6z)2-DqCyieNc*E9YaYFP!60I6bW{7jMfLi^X(Tv0}l
z?ZIRw#wHHi2Clg4yFNTUA!vSz*$8A64^}OW>;ajGDMLGxX*}s_b&PQWfF5Pc@&2q3
zDA;}<aaUfzUxb+#{^A2D(C_~3p(p^`+a?w#td{W-Gd`Ht!C)hV^PN{ZFYp$IJ+U@l
z#qDlc43-@-gew7S*Z%5qL)d7@g|7~4cv9n5ch3a_;8+@34_DxTkgtkIvnto{Z+3)t
zwVC>GQ~qGm0I+~ui&5^$<Tbp^d7#m&Ne=>2HjgLNFhJAh-si^bYq+-X*@_}sJ<!vP
zKlv%07P2PRYod1Ul`YFWs0z9}dv-NZOx?s%E?beTomOz0>zTJxVsyZ^Nag8b+A6k7
z?E84iiDg`;_+H()c5MiHzr0+kxQO}a+81>mU&6nw1(_a~(FXZH8+k<IIV_jAG-=v>
z5x>wY|B*IC3;0uRGK=PpV<R%39#@1d;BF80sWE@k1R5uLDJ*Fa>&}0un_c=Bzu4w<
zP(oJ|_;cLu#Cr8&A?th8sN3^+k(fg%W3C2-#qb?2TK|ek;ZCovou9`qnpe_>acF@3
z<L*yMMvWMY$tC0an{)W^zi0!yP<6;GVwfo^E5r(K?dr)Yox?|-(A6H9qrz#7jeptV
z86N#Urji&phabQH#o6Ty6|OEaP#A0K@#D-rj>$VcROyT7%Y8#?z#Z3KGMw0g%bK}8
z9Lw1`$F0rrubUc}^JE|qyaP{dK%b2U=J4^H6Bn>i3S`Zv%WR$ahHJof-K%}`_>Vng
z1wn5L_>9jUa;WabCk~j;CU(r@UWa_#T~^7EnfT;~x_=*j^S0|Zz39I<ci{LvrdTrU
zrE$?Yb!7mrK3{V<<mdt(exf;lO^^({Ps_7RBZqJ?pFg(8>=*HrD$!uuBdWlm$@{h^
zZUj&2&U&R6w1m@NE8gUYA%Vl3^ofUe$M7f8JSvlo%lJ7DA1ZgX3jDsx#ne?jfxE{Z
zqP>T$;-3Gs=Jzit16%!qf#=c`{+UwHF*mw~yR!92z0_0&ir=LG>Va8Yv57^JqkaSb
zkozUxEKCW$i81|-ADzRc#k6S?+c$BJ*+XxcJ`>@800030{}h*ZG}Zqf$L+oM4%fUF
z_g?NbGCnUWq55V<k;o{N$|$3Rlu;r=2~jGEG8!5_ZxjjH5y>dhu(QL@@88#Xo%1^9
zd0yxFd_InM>pfdGp2Iz~MT_?GG9Y*1Gj1&ML`Y0MuyLkr9+x{>b&=7I5nUB~mgXFx
z4jDqaDQ}DxaN$F<P4Ul|&=_`nNMS$?GE$NhAO2ayH>0aR4FC(0)Sh;|VWtM*;V*u>
z*Dd3Yc&CW#JS(#CyKT={t_m8KW)miLtN4B)uWMx;?C4R!rPK-)Re0BA#Kt=N4__)t
zb(|dHL~=Gjmb<G0E-Aa0-#TpKHE#6_iHba^C#%G)Q(Xnjo_E=<FEJou;eCFOJU%2G
zH0>GvLK(F9!>yZqm{4_cz>xDJ0i=2(5;pfL!*qq#h44jYlrimo{|ZS64b~b(yZu!H
zE0!}RF{P|1^2#xvo;G3BVZ}2#a7PL5oyKXIDeQ=LSjETXmMCghIVZyIsRWO+Q<Ted
zIg!wk^c{~3an#BiLa5eM0;PSKqufK>C{;?x(fpMpTG@B1UV}#oxX0NRr1$Zm8!aEU
zJBrAl69pk&JevgAcTU2_B3=OPtNf7os!$HuXeoV;<5Yqa-&{4`O+jS4tY&$?N**=s
z=CpMnD?y~(V_mx(VZ`;b|A0DO5xq7%<vtps1P{Hx6bHD8q8-N-A*+jkA}D>1_CrcQ
z?)JT&W+9G}P_HFpsxq>UJlc6VL>caVbPj*wB#H7y(_g0_RYhlge4A_yRlw>;k)m0e
zG%_(8I<n)SI#MhSX%#h8h3I^qLE&Xt6!K>G-$;KFa(M46q86nFma=s>HZA1QnFPt4
zYYCdDuKYxbB|8zWz}2j#LIosLVv*thgp4dAVsj6TkzoEF3%ysEfR-<`HiiDCpl6!2
zkHXuuz~1S+^Tq2*NTK{weaj*h*>|NHPrFmV$4rg(gP?*&meQ`M&1xgHSEf@b!&EpD
zF?2V!S`}5j#Gc=4(?Lvm5*41=I&fg4{}$;#b)?k1t-dXuh8{T$uKkXqgNKty$&Udd
znmW}UDbGen5)b&VoXOLJvWUWpe~udH5O>6-88bQ}-L5VV7&3qsU3$89nI<xd3P1dU
zOh@ZB7u*L7j36z))6cPA3vC`eZCF@GLzQ=RnDTF#z>m6Y`a&}qmA@5vqqC@k9_rgJ
z#e@T-6yCk5XGlQ?CO1~=K4_ymvO#BL(@i1aRrd8*KML}S!v45gQPJV$)qho2%^={L
z?0=iS6!hbx!PN12E!3QtHpb&)4&sH^dm8m9sFq=rp7M)``u<bkx8k;dbA3wt4pouS
z$Z7v=_Jt~l?fVP%cV{i&#c=p|W`P!3T6n!_YpaMZYo<=8yt07CM<(W;pow-}it?~h
zkwJ<jR5gu83rLYyJuRF|Lc@KiH5x>a#z&z&n?)Aj_4>aHEDh@DcFYxjVIwYN+0O0i
z;9&v1IJ?dM52~n{NTrEhTEn9Pw*RzWGY3mjf&R=3Wwfi%!P`0iGaitk^G7<?9Hhn~
z)KBLVkp03XCezU|th$Q6hkwlsPJR9U-<L!Mq&#J#Hc`8b(d=xk`~uCOjsH!=B=a`J
zxjS__yowQ+`eQiw224Sf+CUkVlSWyg+NGHfS>f(^3qp~NDOBHX??gf3NVPXgxhIMP
z9L`;gFL?vN8pV}8vo4HqZMO^8ytn|lDY9440aQHNOLJQVP^|aWajz6^`26KSoU$JV
zhv+>MnTQ+pHPxN0)!+fmzQXrbK_+m<s4(uGKO16R(Zxy*^MK^fmJe^^jA8f|%cSph
zM&yuxCaA-n2SSbK_*L&3LG><W&5Ynxyi}YxsUX4w-+jnIui6ZO3HES0<j>)55tT>6
zUvmRr024zMt06>{aoY*#{lH)JH7*=-<A%MC(>pQC?GO==F#OQI2M@oo^VT~CZdhU$
z$<DlD0P<6{=3-XYuw>WSW49~006Uq>$@Wzr<R(T&?pgL=x=vo~$x&R;Cv9#zL)QnH
zO{YguW#6#YPWzjfCl@qz=O1dz(1S<oQWqmX|HeY@`}nc?azWO24_Df%E}XlVP{Dd<
z7TYK|cZ@rQ3#y&iyx;lgLX}Aiw<OmBwq3K)uX2D3@&cI@je6-I^4ntkGi4d08Z7Iz
z?d68Vq<yuA_t4>A&3FNy@)|}Do_yLl#SJFKV@~4DG)OrAhB;_{9eazB@2x%Kf&35D
zc-T#Y8a1I~0}c#uE{Ag9<U?K%@l3h)saprITbg1A?=gad^Q9f`ANU|M&a-{cQwLf!
zKRhvCWP;3u$l48V0WiuWhxz^0hW1)-e%+lcK&qw+yMEZ3vljNHUDk$($QzTXw^_kP
z{>}<hfgt=fp506!YQrWir}P*zJB*tb_<T+kf)rkb8<##(;gLchwJd}K4m|f~@3<)p
z$y1FceP^g38EqEJw#*5P%726Y;v%3wMilE+r-J=S<9{q^+|VMN&2)%S49;YJe?31!
z0fpl86%yvWP=1j=-0+Y%q-#EksVtxXhlcfw>w^5?&!V6EWKaSu(u;>Gk5XV~*74H=
z(E@Om<=yMA5mIpFzZ9*~?GzADaSz^;AP8R!ju?K>mjTyq{A8#o1uo_|-@AK92o7>`
zCs|3z!CSvo8@5F<RQX#f*meoSi7(bJGd%LJDD71-)JFz>x>rbsgeY)QEG_!w6d+Mz
zcj4b2GORIrD?SbpgP`6P@B5~T@ceOVF8>S}4oPZ$%$^X3+Ez!A*C7O0>K^|`*t)yw
zOeo<El?3@52ky;hN+A2~WY2~<1)M7d@L(xv5Q;x5Q_ZFV4L#Dueite5>-l_6ZJ!K0
zn7F_Dq^By36cNoWzEZ&8;DaNF9?L=MFPHF!dNts<fvv^vro!1SD8H~r9_Dh5Gk2;J
z!AK-Ni0u;<`UHu!ZT~4i!9@MK<7E=$Qm#Bo4A%y3+Aas?{fclasxN7EOarEa_q0SB
z=ztaHE8BH{0{AqS@&D1(f-eVumvxHKU?sr4;%~GP?8=_jOx#a~(Cax7J%V&dDa}~)
zzpf08EDH8<6bk4|QshU}bz!C@*FovN3J`j3UL3kf0X_*nI>}uRS}y(mN_?UUrsggw
zuHzJ-IXVs{KG27enU|A857ppasKkmaFBOJcCa100x5N7$Oa5(X>QK>Q?Y_WCg+ng=
zGqS;kAa>IrKg5j)s`|6x^?ejTKH{9z??w>CR^08!Mgn8@+7^z}6p$}|u+!Jh1QeD}
zS@a~3;F(*=_u}_t*#F^SRpS#3Qp)E}IeaBS(qPR+lBE{>$oy?45CzbSDa>XuX~0I|
zwHVJp4bb7=?%mI43bDr}gFEI(Q2QUt&8N0RIR02u^895}V0oS-{=1X}o$mD)UH__r
zmdw@sC$pxIMR8MlOe4XeRlYx);mW|A7Ghy*WCkIqu%JGX2wwLit?gzNp)IYv@@#+^
ztS>c`o-bF2k#NZmPRHee_WFW#O|%&Zy|$e!DpvzfQLi(SY+HXpNp&xZFayzZyFM+a
zs=~$G*LAO=#KEuKm$mGm86^Mx@w3-i1rDp#A6|AA26elmzkX_&0aM_>^hYjbIP1xu
zIJtu#$S+Lzs-{e#nZeURw~7F6+UM$Jx;S9Lj7$wI*vemeUB-7;MR@b_$-Y=eW{{|y
zXE)u-5rybM;{`?qxSFlIhyUU_c9JRLG4~$;zVmcb+r!(SLfqEjl-wewF7dm<FcBcq
zd@?JkUj}##NcUe_&tP0}GPCUjfMmAtkYgvL;M(o_mfETxn5kWF93Fu|D?Pz^SzQ7`
zvf6{5nvGz&%xeer%1l5~{F%=UE-^S4y~)K;{~3#ocA+$XGX`xx5~G`l2n;d~uK9#@
zW5p_dxld(`fh=98F27R<9`Ct3HO<_Kjj(`5qpK01s<gb0A^{k)c+KlE+JUul#B!d`
zF@(ULwqiY3KA0Z4@+Ll~3$t0g|3-OqJAB~Jmezj84V712YTKJXVY|<Glyqxu2a=tx
z&C)?m$Q#RQmr)qN!bMLOTsda|D#H7Uz5Zhd$@o8{bd6!misK9`bn8P*t{H(bjuo^=
zXWoo$`-c5Acunol(uX;voB>#1hJlosGk2WFu{?3cJcSfJ*cA7Z%qn1lvBK@XCUrlt
zlHA+_0&}_${_9?LZX6?|WN{f*xlCe(E=(?G_v-@r3U7j176UvKk!G4qoWV-OuhrQ!
z(&5!KPuHU-n;756VKI+0bJ)Wowy*B`ba<mL^@DzC19QliJDYm?FLt-AB{;v71`{kn
z<H;rKm`{k3aZJJ@_A<#(@Sh3|?)yf`@=2^?Iqo9Hilxg~{*WHY`>qZQ4>H?*ZTyE-
z6u4TDCswf{2|J?}WgW=a9OD>%_75Wv=C}oo*Rk4&-M=+Tw4qB;F7WBdKWs|N$+h9}
zCgyx|!aR<q4GM=N6JA=bV@vKT8AlZv!Gqq%(NRl<0?VUSo5Sl^JbP65&GSrPz;#<m
z)`1G)YZ}+gD>kqITFed2E&U4fxJ^PPC@?M9B{}(G6KiwGxh=S*w`8zT=+77m)H#JN
z$3`%~u2Nr*08MrfNwnFWwT%MZJLK|i>M+8KeS-bhmpHcaGAzq9jtoS#sAzW%Cg`O`
zzf~OL0_LMJxjyY$FnGC$@!1L!lxO7r?O)-6H6Ew`xK*`4a^i?YF9!=yIx;M44EQ19
z@!s_}mo#BG%Qj`Z9xHUPf?7<s0Q`K=A)+?F<-5mDndV<)145k5ZFUtQa4++>k?_}m
zdq$12>?`bWVZCMgb-FOjF*#kkG)aQhlpl#zshq%_YBBO}n<%W7u`K7GBLS!Dt1*?W
zKJkljSXQ%D448F~9eOKA0<E2_d7|5Sp>i!$ry^GZ!oL>l-)JMk=fFYTqjvo8z0F@?
zI9&?%m3lMrr4u2*CAL1hMF5<W{*cGYW#AoQ;JRM`5t0kT#CLHCfy)loo24sq(4gYn
zY;%CPr4uILcUTyxJSR0go^AP+kqmpI4-ulYnvaBk7J>62npsS2ittqM=qHa9BJ9pM
z@@nOn803=*S6c%J5Jt}M7Wqts#;jyrilPK;Zn~D3{7{0m?<E|EZAfsT*zKtFk|apQ
z>pT}ZtpeXq@Wt);L4rcz!>W5GrQvvQ=`R^cHJFkbc&YwW14ukGx8JeIK~2DWsre>#
zIP1VR+ghy&AO4A5Js>9!1x%88H5W*r*CcsWZcPggUa+fpXsrN~k3)w3m}x>u+Nty~
zi~_uBKYbfx6~WC}xMF5&ul;P5>`rAW1c&{wKHNxvxaf39u&03Oe7iA)stq$?HuF0~
zlz|>{xA=j?|Nqt0FVR~E@aBjWs*eiL8z?gG-&0|2_=ROSP6PhyrD63|s?hl?VD9*S
zZFm!D84?G&uvyC=b@HDYq-nC{X1&#h_d6m^%6!)YLv5oEnKU9W4tM0~ZD<3zAk1X<
zT>}U>*u<abNP@7zfU)JRd4Lk9;n_2WAUmXBwAVocXq1W(38W2v&nM{-PR3Bv*imk!
zstIQIT$!DXwc*rATSu2B1|kl1HWwN-p(Z<IrZJQXMN8(THd|a4R{3vCL}QCPlO2Ok
z2U38Ujo}Yz%m2UgX(+zkqXo*(NAFA7X+fz&r^!yHEgrc*mn<h~0j=R!-r7+T^c_`x
z7n)-Rg71TaU)O4a^%TFF2c`yYaf}Cz1kK^qTOEPtLYlC{OTsI3MhOBVHpm8^=1^k#
zN!Oa70e`P#B~08>0PAMHdgEks*k9Nfd3}`#|B-iMQg3BI{pf*a)iiUk<uF<+Do}@{
zcuph3axvH~Xfu5_%p8P?2^KFE)xbhHTqjFK5UyKZyEuVu?dzC5PDxM!Sw$6@$uk_F
zB~kVH_M90U*?h=eIj988e*=_GtZrg+_^-{$bTjZwDIqdw5a5$U#tPqyS#0eKIj2U=
z49b@JV`)(eU_YvM-GtVMoiODu^m%FuQ_*FQPLyne6He022L_w)d);3?oG~_qs0^wb
z_gR^(9`)Fw`oniTYNgiYLp?wxcG%lBOcG9OUvVG>Pvfak3}Rt60Gkad@A`7ZfS2=U
z>w(yLys>=G##|8w@}7&LPnLwCk~c|Plx-2OJjX#Vcx?iKea|G=E(*d?a-Jb;{1X1M
zWA7W~eq&JMe)9aqH9n|3$+5_wzl_Vwjh9Pp8i7)%Z$L{77bxGP9%kLUjEls32b7bH
zKzZ!4z>^*}NO(G~?z6arXE;yZ=<zTFPZ2vO*F<Kx@X&0^e)kgo)5z<WRnB%Ou_%s3
znGEo)+n1DkVi7-1e{`UH&;VTBIwoVM)-Z<mQcY*W7H}iBtimTM2B37qdA!qV30t--
zk@r9G7q`Cu?eA!)KCnIf_1KRzk2#}@oxK6`IK%8j;Li_wVA|l6HY_%cy;?^~GpFY8
z$b0*k0+sc^A%9v%>*)kGCc~^jzA}raKgjti6|W1PHpP{PB)(x%qLqeI_za#}Yg<_M
zlMY=cym~$DzF@O%*N*q|&EQ1y@9Y!ybeOLe2o=2Dh5gy^eo($Vg<rj(OTLO|5PR;J
zf$2meMu_>iw@P>l4_)|Oe@dGM?<QUbx)xMnY-|xEI5CMYnu%=ld!Pd#@@M<?qRaRr
zF~ZVszDeA)z9h_2Q3rUQk4l`_RgLdX;8m@e{)6k=5tM)DYlD!fY|6=q20XZ3#Obuq
zB<|y{%4?vo<p-z4MhW3<_^%@W->qSjxMrY}l<++&D1AG^*z}_dms;X_lPfcYk1VDP
zdT3GMK+WRjzOG(;#K(M+mt`6^<|;Accu9ffDMgpwv;q8JX8Fxtu^GH`h1q>+=N69~
zi_kNp4dKSENh&t2Gx$q_Y#Qwu8NL(5|C8|<!NcF|UDLidi`R6i8=_$?aJtrSzm570
zcj47qtuCCyor2<i2McO}$1?BXe=K9T_3_a)&$siqdi^bC-JP0{nS3o-`^PxGGo1E}
zpLYTO>{H?~dqD%T_ILDge4W4-Gk609q8IVTboPepjU-qQ9n*g>{R_X(q+BU4yNus?
zNQ;sXAi*_B13jAJB<@`!nH2nM1&@3!%oci(2>bc>*NsL_<FEO7epmlm!`EX&MawGG
zq4larRwCmpepx<fnW(sddk!g7eB@Dwyk9)_+8%TGLSgLD1{(%c%X8`O??5#uygVT8
z+dq%*f8Ni%t%wo11w0@tcd0^QcCJ;=*1wjz2P|(RFrynE3)PD;Rk$%CI)6fc3IA-D
zU?u;a1+|A_@lPvM;E(q5lTgA6{wHf~s56TVC8OJ3IT|X!J$2nT%xDcaDyqx2&E!C>
z3u3i(rOHr$Y5%Hk!a6=+Bs;|Xo(tIvWzCf7Dnp%Vx}O6Z0}8!88u*pUi>8HH$C=+N
zL6&vZk$68w^fue-xcX;)RA_8_^Rkx`3|BH8n*YUw(tXNg+dKu)?uEOz&DfQocS`dH
zR|X4e8`xV@wkCuaH%18io)f@QC86t_FB{@?G7t}bBZ5-;uSXhhacZ|$cDt=F2U-eh
ze--;s3^mF4UwV!a!1<;=UX{g#bf-NX4mL=jdgu6sZ_)&iNe;||O&)ZX@BHj#5oyF?
zy+3{rHvu?I(vMaY@S}UFZ!)8^Wf9wpW*U<q0d}d9>efvKQLEyUlq#Y;dLPx#l}jN2
z_aQ~S^d2E3#eXM{`Mv_OytVPk`#1sY1dbF+r-&fWdZN3A836_SW~n&PMu7cc&heYa
z#LxlVL&Us)N=QRH#?szZ3GPWK^8}riKzHYsW>$JsP_vp*(_bNFXq%sE)_)|0c4jw}
z)wigj*X?<<kIX6%PNH|E^U9(tSKV(heI+6%>+-#ZG*x)#d1tymXB+C>wnl7c(M0}V
zv-B)W)!^AO%R6b30#Ylp9qTh7Beu1T9G5dhxYfqpCY!5>^4b`^1F9+LpZdbF);ta9
zXNaOdQ&2*m@`(AI9aPl1`eT!-PKNm;E`QIb$|y!uu9<m28<l<DaY>b*3Lz;ad7=)g
zXiDm;TV9I}%ID1XpV`XoEbX;WuD@!?<hGcE%?%p5<J@9<sh9@Btn!=bSBc03@uiCB
z(9sCNI>zIjE+mW6tF}pNpzO*O<?v)W>h${9$jEB|O=QCR!%3RxbwT|~P6i!;r%X_I
zh#@eU1|4o|(?Xs1Chv}#(UFrdOC$NWF_;Pw2F(Y_=pylU51v9pyT6=Yp=$vI#QZy)
zXiq_}&iGyN3DZFtt`3a5T})xx`YLng6$)x_x^-!FgNmA(Xzz;s%z)Be_KTQ9L6JJn
ztg|!<V*Jc+zqr>N9$(*Xmv@GOb_6#s#X4)Cs~60_adKOLaMtCCbY%*vU_Rv`Gp~xY
z{*Vm+UA2G<({crxJIQD@nbN`-Oh86!dd)S17T{99`|9TzO|<*v#{-Y~<&bN^X(YX9
z0T06$YMksekg<2-2yeA0YA<q5CVaJkxOZ=faE6HZ#t%-&TJfNNW+%DmxfbC1MG+2#
zs-Y8;dIyxo*74cX@sVE*Eg*B$9Sd?%K~;~&T)y{z!7m<^)9tJ?hl~5_QY9!#=(5M<
z15cL6v0~L@#p2t|A!XtCZc9!@#K$vs?)0%$>>-z)LE-~5_?A2R)_-sta%>p!5Zqvb
zv=^<WIl^Xef>>`<-64%$x@QC59(EYsVga{kQ>Yk#gFn{95lG*vs65OC(?zZ8H>Lnc
z?R}^Ad5a)t+RJWw1P}Pf>~oYn3}BWSsPc<n5IrF4o}X;wh4AHglcHA`T*xikNn_+e
zzCCjS@1pp?=LnO6V~q(s7VI=525$MlWN2DtEgx`<^){G%GzJHE4^pZdBbqD=8W?}U
z2V!4c*2aGsf#UHm6+T%j_-JTBlKnY8xSGY?ogi!kOZm6!jlE{^!GErMgVgxoj{7S?
zGb=-gjUL=9&HEkC*(n#x(Zmaiixex3`0daj{?yd_d^4_d`_@I~<GgU!k%{YAivc*7
z3=ZW!uE+ibQ}>D~^1>WBkqMJAfWiY_ryDlEVy(;8hDRoOKz`j%aWPmQ_OBJg9p;}{
z;q#}?GM{*$)tS47p-T^hN2={IKh9tbty2mO!#rD@-_kO!uLsNK48b}t{$gKpYu<ej
z;Dx-8U#UBbbm0f*2sP}#Wo+|eBBA^UFC<%CF6tN8g@!kM{_A(vFr#d1vBST3K}aww
z-!GL8FOn8JjNfixv&waXURiwL{`q&*2fnRdq15Ww_>}>ITC})kPw>NxY#GD!H5$mY
z3zOvbFu@3`#vLgm0m!*^7i*WH!S)@$9NL~T!>&T<SE{`Nut>^ZJ^e@rw7!?5Nl3Fo
zT=j&YUXmd6vYqwaFx3I$t{n?Kv22i;pQ%3SBm@)BPr4@!YC|OpmuSi?J6z*C7_zxt
z7@9cy=Ix@j;hb?m+Sve37@yg8gT7q^ihmvT&r#I|5lia}1%J8V<QUKXBaWir_1Nol
z%_k~YyNJY~R2~>Lz9M)oNemjA_YEmup~8Rnp0}Me=Yz>rk6Ye@;-Dw}*U`?F3L=i5
zECe|Oz~oVmKgS+PXns?Z-YdA(PpE-1JnI7RbVbB*=b#iEzE3JTGD3k*!4E9;nS|il
z_kt&5$ueMN*Q(dP)lb}$4z=+~3d0|Iw)Bbpa&SOwX>2Kv0z(aP>eFT-Q2#hcI#Wp=
z5>wx9|CvI8S?Qroi5O9^iTUleN>YH^{JGS&WD3|jQ3CFCivf=+F^$Vy5qwuXx)(Dk
zVA~xje$qq&toeEB_>K}Fn%y+|V>tyLN!D-3<C2iR;#$yqO9^zEV#wbHDNqoS@44nI
z4epHZ;|snhgW!h0?0^gv`iu|O_Or?YIU_3Xud*sERDXFBc!CNwpGMmRn&p5ZTYEJw
zR1NM-uM+M0sqi+<rR9#jJbbw$d!DON9fnmzCMa&&pxYt;k-Wv5eT)2$sG=n3<Uh@s
zw4@EMDu2t|vr+`lGOkajT{S>bE<)gHsSb=bowZ%IB|wt7lOgf4CWL+PaN9UXgAHRx
ziSrIhz{tJ)?ZjOz80P-6F&97wP5r@#^ZS(nvFLV$Ws`w^3zIGn)&>1kCBH)lRiHlU
zV1B<A1^7Q^SDehy1IwLVPGnbAh}?PTeq{&+_Qtb6)oIp;_m%HRx;xZBq;9@3J(~i*
zl4iMX3U7z0H1#XJ+tgu~Yx|zh*C{~%E^&Uy&k%gb$-=Z@b>JV?VH`O^f%I2S-anBM
ze0-tX84yE+o9%+1Lij0gqpPVjTFeAazFE9KxlV)@W0UIrLS%UGDNUr*1B1|Y_vw#&
zx47|7={x_&n&2`XmRDd6FnVt8Iw6b%_gy2e*RGR*sdKo+up7YSmhs}Q01{}-`qCvi
ziQwsYJG$Q16vAQ_a_Ho({&?kG(3N3TV6D$sRw^}xL)@|zC+mn1*PY;=d|eqfbeSdW
z7fs>aZ3$&el?Zot4SbE;P5|wkgQXrSW^nI)#kjYpI{Xg+0RR6Cmv=bUUl_)%jO@MV
z%WHdwJ-^RuWmS~ONMut#S}K)UB2g$QqoR~hW>NAzQD_)tM`cHmkv)I@Ki74hb6@Aa
zKlf92WqvSuPzE07t$es-YziC0x(*Acm7s`~vgWQM35R8;+c%6%p(^!}_gau5%#@nR
zmi!h0NomoFUZN>*H9dVJv5N?Hc}|t(3j$EH7Ul42g9i7Dj@~lhRRF0v4+S$nUU0Vv
zR7!nEgUDyo*TmWguuAl9_D<jcb)TC7{t+~I(MI?#c~uTd9(58p6j@-_FWXB_g9g)W
zL&tVn$b#k~DT?U<1K8b9*$V6e&{n9Z9or!TbXZ!YQTGOBZM+ehd=6l%*8Y9V14&RZ
zcbL2|xrE*PGov0Q3h=UuwXbWRI80VwU2Jmwhb<g8*LV<u!8vblRyKK2(D~w`e0X*m
zTiv{EeWK6=tY)1YxkQD*ovU^Eo&F!p@hJYzZrm7%wlm(KB?z0XH}u6}9J^FTp-WIS
zhPSa9r+UNqfwjs}N2q2Di&_k85)Lu~`RhKR3WL1Ru0VN6JT`_M3cPdrPKhDtRvm`Y
z6FlH{@Odkb_%BSnfMe<SngRF(xUNq+asl6a@1}pZ#xWHi_M^Qv29Tm>Hp;}s0h4xC
zJ=2xHv1`Hs?h`rs5awU;mBhId_5|twm*P5w#j>}L=P&6&?n|AV+k04{+n-9{(w@Ou
z{N4rZJfH`^Z+n&Nw=hF0G1J+1d={g1oc+i2QWy3Gez4+<-vQ1CN)1`iKdkD8t<5D#
zT_ABb#>t*#f>BD5^xqc?*buwowbSuBU|M*swBjx!Xg=iAVEnj*-Bv%z+PI_*%#+;#
z7LyDxRB61@v9y9Q|9Tk~7_1GP8{f8a0vRBwH8{f=*0Ey_rA_w3T5zvxxo41@0XXwn
zsLvj5VgpW>@l%Jjz=rQ|dVD`Uyy4@oib$h_@mu?jeEF#fB~3jYLCy5Q@#Z8CVU!*i
z>Mf4?`)I<&n;Sc82k7CCt5OQVni0|(&(s-BQ9)w|2dAJQ1DyI<(q8tK2`;cd-*6A7
z!nj;hw#W87E-SOgb~|kAao&UX8#@*9M(R9<`x$_uVLe~A$^wk?slv?<D1es)dYFYU
z!ky2<PX`biIG1KxIU7;nGRIiRNf{=nF`*sde9R90?u-g~ePr+zZ}opQ!vwDR)$@-^
zIN_tpo}ST2GR(h<wt6<O173*bv{?^wL)Oc~eV)o>c=J!tg)++w`fEO?y`^}e#jx{L
zV+jdnB5HU;2&_;i9Ywn8%?D*t_vW+3NTAuO^s?tH8@xRfenO#+ACkTXC8(rmKzjU_
zVA+2=p^_<!W4DnYa8v|2L<(wv3R_fw{!I=zY+PL~(IEs;SHkuUJW+=jJ;{Y#9$fI?
zRaja<q6i4+=>7R<rw)E@Vy$14c|bXNRCL})4EP7NGB+61;q!AZdLKhx;7~WA>-3TU
zhG`v>sAe_DBWUZ%`|`o=CP$x<SSer+>N;NZObuoqo2egu!Vhz2eB0FgWS~4+@40q?
z8qhvjSh_F^!d1R1gV}6Z@cw1&M@DMkK0(<wj}R0SOm^r^$idJ`r;zZH8r+k!s}&L!
z0cIM#@r7OTFrnkT`N=^Ym@onN`=3N%<*@4Ft(OY0alI?_R);#|STJeRa>RkCzmb@%
zs|W+5?|t|#X@K5fby9z_Bs3o)5klT6fnq$9guE{a*f;z8pJqwJda*JyyQ>PUvODJa
zn2^D|wsw$dSO(h82mEcCQ-!9=OMCzQB15d!GeZKC9CTVR><+!64)3U`S1y!NK<#~+
zT^Wf0mo7$2FmRJVqV=0}cNP`wTkFov9g&A1k-WP77#WNo^=ncJHKFy~0J6HP0Q|8p
zZx4=;p=e;WudZJUrdh-!Rlg9yu+XSq^f(1{OiYu`l67Ee_8*T3gA(xHKb#xXPXPn|
zPuH{ZbRqGJWor&m88$;&MTyc>z;sF6i4=V(h)=$DQC9_`{+duZsZ^k*vGGT>8vwhY
zOvE=eRnWi68nD7eg?Zbo-WyRykbPA3{+&%#7$P~fr*FTfD|mf%K-~nqJQj{MKU9N=
zGRw<CA{6+gleZ+<ih<@ko?Jr_b?{sgDS2f^hFS;bu=|AoYOA%cC-$iWyU>9UgA*Dc
zk)&H$?@oi99hAoV_Ua(unL0+MQv+%4;%w6e8rY1D8#r;R!xx#dz*I|RkUV;mBQ4Yv
zLbG0#1zuMJ2kA!EU=Jd2J*_9b`eX{$cl+pz+f{)*tNh}BM+hM7^*JzlhZ$JK<p*gE
zs=%e4?;MMd%D}t?K7LBd3`FNiZx?En!PQo)id|V8?ALxMJr^+pR=KWQ=G(jz*jv@2
z`AraPDEVd)OQtZXKY87lQxPKk8`uU}d4Y@LNW?;|DO|p(VWW9N0hZhnwgi&cfH%66
zGvcHv4D@q+S7nh0*13k<``Qc;yo_6hiJHO<?eB8u!sTG0fIEMOz%ur6>zV&}1r1Ce
zWUGeG%7E0X2nNE;A55o?@3)&Z4a^R@ZAFYofmKGy-RXzj82v3Scf1$i+3dj<#3%tJ
zIzEDr_TI$59%cUG8vww6H&nsUN)!?muK-0ry1z>rwzuQ;8bO~4e=%S#wAgZZDFhm!
zT7P6B25^~byM4S|7+fv%eiP;>0495nF7N6b!MkSO#O<Y;0KHb}f1$E`ka*?q2|w3g
zI8idwX35PMDsMlx%9rAS+-x__hNI)SX8r8J$B9Oeb-XsZC7lDB+=CvDdW_?wuqT)E
z-x@+m7pI!D9UHh6cDp|g`-Mlyw>fWZ7=T@jG%?$S8Q#wjh6VqQ;%PmGdv1XNC=nUj
zBC8o8<}2!nm><Ru`Ig<*O3;V&V9~=ae)MqRW!U}l=YzO`l(k-Vw;pt1--==?HnID2
z4f?s^KkyuZvGl8|dhkHNeJfgO4J(O!ExO>}i@UVO9;mvc3#L87hnF^&FqUd(mSw9B
z+;DZBIy$5SCOOi3@7OG00?9?641!y5Qrl>9hlLI}wn{y$TAagTxcqj^pMQs|#~oza
zTdWO)ou%L1S7xwRmk-$MJg>xeNo*XK6V(O{qORZ5)W4Y0@tj>l=i>2*h!;h&30mNj
z_&71T<_{JhF2y_Zp%@b=V`Y)w&;;qYR4Ey+3G87%r?ag%!hZF&H8Gvmg#6n-Qy5PE
z!i3rOGz(s6!k#yVJjtD*LW#s`1a)i_(_-xI?67acCO+!#{TV`qoc`r-&5{w!$2-`j
zW_Jh1tR(t3XKvfCA0yW$8;3FWPtU)cGVZ~qE|NwX&r(2hxxOJ)VHo3F-!peqxgXON
z_dR3EK!M}re1W98A<V{l_jnuU0A@$-%3e+;gZKVT%<Ik&w&2koPU9ZJ#_#2IbxM)p
zx3_6==A$7@N-nJWxYP(nd1)@2>`j6?I@Uw4hlenR-dUD47{esElnhT_*8ttP!Sm7%
z!&vIsPTPVD<JgNMpS<9$I#g8dlVAEXj2-;)+daDbH`Zug{PoMS8p!T`aa^-}1WWmx
z@Zh8K6vjGU`jJaV4NCNC=FaDjVn*$1&o~)oFnQtecR$anLTz7qghIm@M!pgFxcvAm
z_NDP#8~LpYTpQpBP~{)TCg)6b;y33oH(5HyIW84=hu>pTy*`0y-3fhpp=cg!JTlK9
zazq)d=6KF~8U4YATzCYUBNs7xmEfAJS4vR-R`OG!<P>Jiyi~jM;xgvcPSlSQQG%(?
zqOEwHX{@92`~{_gRjf>Jpzy<aMaW<#m|TB9gSi-d_#MZ#fxXTctBfBZ!XTPck>;7h
z4!FLpp?|oAjb{A!uWKI>WNV*)eR=U8X6jwg6oJvhseIw@y$uS$Y(L>~fp-C0wEr&q
zx{U$C7f3wsK>@fzlWr}vEMlw1v9)mtOmKjP^L<D1FpJush`d_H+@fXgaQw#%F&lwJ
z;oF=nyK=r}PxmS&lBn^aCx#Vn`F757brN7{U2)}t>IOFYF{k^-=bcdExK}|bhyYk^
z?E**57Ph02Ive4@3F`i9H_xyTpt(FIEqoU}+-Ts<HD~96bBcZsdy3_truEhd&rSv~
z9B#IjPT_^k&0H-P4>`F1#--9WkqOL1PrKwB^MmIaDc4L)4lZ2w4VO8_3`r7^X-5PE
zVbUukMP*nP#&jql0+Fo16fFCB$9C`T+?jwczLJG6jPy5)-|vLUJkMzNy`rFgs-0me
zPZpYP`4zpf;DlNg?+)G9;=toHlstD|7FJo`MW`|G0PZ<^aJQ!v9NHJ;XIv=@MjClm
z-m$ze@3Qiq>46LcOG@5r8Ic9$4c%{=%KVUibv5n@MGkxwWs9A)<e)ky>6i7Q0F2sP
zWEL7GK$sPmg<F9f#B-Qlp-u@w)4hsAg_R2Mk(Pa&W<vnZrUzYmJfa|4*i+Z@L=m_b
zGnIX%<RM`Hg{wMV;?Vu9O0nUUGJH>C`zNTO09iwmqXz~h;UtNEdE}QWcoR<iy&OY?
zm62jMFDn@kTvg2ZPelV_pPZJstDpp7Leu-@U&?}XkSzOeBQi{yyUN~>Re@9TzxRh2
z62NKYvyFf+1$zJ3jRr-j!F2!Ql^b8>;b3!Q<LAp%5aZ7G7PcipIIlsu_gNx1?>C5K
zy`>42ob%Sw<`kgb7@uNMR01yR2De*rT2Kuep<a@jFjy=zThOHpntVoYob9yX%1T_-
zI!PPeoy*Ddx~K}S-&mVQyR<>ys9S$DOcyMJI6I8DIiARLF#nd24k$)&v&W9>gXmo5
zjid+-U@uhK&$yutcdt9$)(A6#&#b*EVKpQ;)T+3DAwnA{I)A1y4h)`LCT{+9C&RM7
zv5i-{7IZ5mTsZv!z&^Aev#THj-JFtxnz<(Y6uIF~zf6P5;@aI_KgjTjo97@og#v!=
z+%fe`W)M@%mCn*l2CFYuFVZAPu=`w>;qDPLVE@$@5RgTNg!thCi-#%@%F6Gim~0Mz
z?_{Z(lgMCLv09cmqX4HH+tR;mm_uw*flQAA30MzCJ}TFf1ut<+imavubOqvs?|0PU
z_ZhQ+U57>Cd&X10zZ47T9{wH9^+6TLsvk4#Hh4g9;`$E~y#<^pQoaAJUKs|;O#`m%
zWCS;`&wN*44xy>d%O;tM5M!=tLa83d;EYp}wzfGa)wW*0c6i(O-*}jk<c9E5Nr4Xw
zip-$LW&GVaX#!YVRo3isTg4Al<X=+T?lW_n1A~dbWWcL)?A_fdMkMwNN$!p?g)=SG
zi;rR@LC3S?tQ8X*;*k#vWFDbGmoUfV=U`E&EI%F)Th4)6ew+U6v!lV0XSRQdse<4f
zs=Vi`5jTn+T5REa4G^Q_=V89V3sQX1*B|}IgUlCin=g_80-_Sdi#$2uQ|vFx$D=$*
z_I-#h^&kc{QC8odIkNzhDsyz37%yU*3;rQ>*aYI^T4&t0_dB1Y)#yrDUUZ4xHdz0Z
zG1z6k9_eaZ!A=hD+2^&B7s;i*UnxpA0^%vRfPt|YEXsoYXU!lF${;cthrc%jApzkN
zel3I8*%?n3hB6+cwDjz8#+Cs%{`GNv^x-vDm^8zv9?OHe2VAt-%?-fq`8y}^*I#j=
z)b$P@Hy*V6b&=&{iau~H{iekaj^NV42B(}c9`rW1&Ew>_9thao^Vx4ajk{HHFUM1P
zP+EEJ#G<7hNPP%s8nK(lD<+cF({*`}FGoVopCVm2%6WL|Q}Qz2e8|2%*q#SP57=Z5
ziR!|aD-M?<!`5;3@Nc~*BX|&zGkzg1Ne4=})k6Q<Nrx_r*>Sz9<3Z1p_>41Ibf9JR
z=q0>{9{nA99mXcbi;Cq}^p>t@L)#7QDjyd{G_sc*!I;8}&dhAG#Bpgu$D{t|>tjp^
zi?SS~NbsT5hJ=^qnOd;xXJl7)Ff+nxe#r<RJ{0sg+=-^41^-F~J%%P((9P<L!pax<
zk<{XW=(~-Y@OhJxF(1N)-Y@7XF6<XT3C|vRM*3?)Q1}>q=E_dA9@F8t!$J_f&640D
zb7_L|vzzD4k~xq_=*j45dm%KIeb;;QH5H_b6_q)uT!>z~p=<A1VT3+UZR|Nth5A!6
zuiM7Ck=%@gTm5ShR2F)u@U8|G9*6K7^7rwetJQ&VKgGomBPKZ=GEafhVYR7>7GBi4
z8>JKPh@-MB%Cl4T6nJPrR{h?_hcbuNY?n19k-k%6pMMqwZY@{YuMhE~fRP^=5tCBr
z-_hq=a#0ire04y|lUWe`YHpsj@sdFy61jnyAry!+zGtmrB($ynciA3SS)@Fe(=ZfF
zfeUX_Z@OO=Mt(~(uU(GFp~+pwABkZU2p7sG<PV9UrUO%t$HNFH9_gQZew_jwCYh}l
z9mUX?lB0|IZFzJpMCp28H3eecH^Ig?apWU~&s)A#KnYe0?qZAEd5a#sX*(^69@G-r
zO6G{@q5G!akOdWb_vd_+mX}87UcA1psHB7v>g(6?o>D<&gB-1YLI(BE&9q-Xq>M5O
z_R+mm(1ct@`*qvxxw|^NEe4ZRQ0_f12eT?oa4@zqt+SFt#UDSs5iM6m;?2dr1aB=k
zH~hFZ+mL`F&xjisH>jbJ_M?7piQ3RATF~c8mPh{9gRB0yItr<I^mdv-2YNzI{Wn2S
zKwhz%$CqzuAeS?T_T!5>Fn{=jb|D`TjqJX#*$E_+_&zwpiB1n<I6l{gFB1{{*SzfR
z7bH~KihpR4(1&)<qScx<MHJ!l)7560gsdElRwb+q;F*iRWn{V%;;HC&O&ubkrB8K>
zoEHtD&-TT~Tytd<b;;7Q?<xuH>-|7;t2BZ-w>K#QUCM}~urr}yL<30`dli14Fox4L
z5#P8iRgjj#;qP=a>PVm0E%gT<2G=Ysh<-Oz(5?r~Y5C99P_dl}i>UyBq;YLgL#Ya?
zyst6lsiKNXPw<_3oC2V_6<W9PSOxLXy4*E_w(tKpXT4_=;PWv`x%>$gl*Uf#=s2&4
z7+C9llAUQFrO(p&nnwkt|3-^!|0$p=f||a!GHKv5n8ICnSsC44tDO(FC!nd<-wBZ)
zXb`@C%u%UB2?g?9@jgnGMWb5vYR-c+DAhPV6-TFp${dYb@0&}Zw3T`brtN&Twc4|H
zfm;y~TL127JSc_&9e?`CwbS69T+0fXm57X`yElJS2%$5{cJ*IMXrM<gXs9<Wk0Jv@
zB{%)}(fpx@<d{er1lukx(S0JI#FJY5AJ6b0D%1Y3w=^1@vMK$c|3D78{)ig-)ya-_
z=l<Noy9!W!ZD6118Cg^?Cv|Hvk_Bas@YOax1&|ju*lp+_gKT%N3@eW@qFt+1uB!(C
znj@(0;{H<TNnJF(`Z^sd8GBCqwTb}?%Rp+XsRRl&`mhGR8~Bp>mr+j(49vcaUH+{v
zhE67U21(DZ;0C8o5*w3D;6bn_X~bRx9oR*f);+g`-_v3EzS3z7!TM!6{8xog$jtKB
z>b?bBL1z8Eue31)9cHm${w07)Vro9DEYIV!m6)+eun}yGpU4Rg;76WZFMsM*%;T*S
zdM0114MBA=Hqn@i4_zpjklQ&wj~hrHiWcQCgx_8Q5o6sv=!jKGeoXEHzFPfBY1a`0
zI8b{#y(yj>?PO}Gk}qDw{Tgd~(`xjg*UoLL`5`9?ZE?9<&9saQ1={$^itEFn+^T<F
zbR4M2)G3-bdj;Q-r(n$xp$F|<Gv#@AcA|EVt0AwBuHl&yv0m7yE*M50V;Kl$LsdKc
ztILmW;Au7E#D05SaLlukpq*kx=O4nPT*ek&AMW+J7wLd=g_vOWa~3pSUV4prkq&)u
z&A6hktpjPV@5pS3v7r8S6Jnw!1M1u|hRyB0wXV{4_GvjYnyUZ4<KZPnR6AtVqpqqA
zl1UC824|QNqrZ95^aK;CniJRhTBHTDnTi9~y_pgJSsl3>KFmn*c&p4RRSWpCdlN^(
zm=UvZ*H_U+7K8#mlU}{ighGjFo~Gx_=)YmJo|yY=2;^h#sPEQ<#?IervYaePi9bD7
z$d4U`WUOkP8Kgp}_0K7_WEOPc&}qIPYfj{#NxohePK9jM_pBGGtjHIQ_3hiujZA*5
zsaS|o;qqOVlM5@Xs590p>%Uh#Xo`1X275yRy-)IoK8&y-`7-(12ZOxms%t<eoj(N_
zD#Nay`L`2EXxd88N%AARPY%^1LKMg>*HvmDa-d<h!W8l20*Gc)m*CP&hH$5W<TsI=
zX#e8xn?L&n5u@_2oPn!kXzzn#xm#Rla3^2Y`VnDtS+C$AuRR$`FeB2^ejaq<PTozz
z4pC&jn_(_fa=VYl-3cQY^P*YJe}&`k#1L01wwf_cf{r;KlD-iiGU#Y@D$A2V*OI>v
zh(9HPdG(7<`F;E-o{4SXL9P_K82ZlmTQmvc)%;JiM+%_I&6@#++nmBKI5y~<AVG1F
z)osNFLFDt$yQ(r;7E#Eau7el1i`SK$Cw~-#ktd3Md#OwgDbiUn^*$!SAW?c6-4j8a
zHBT+q<_Jix>TOxjKN1wiHBau;5<`mdVtIWu1%zNKO^`|kb}`rUT|?sN&w*k~?Q9|n
zTPYD=h}hP_>VsQNp(IjJ^)5AGP(nR%F<15skzrhqT?$W<MqIM#XVs4>qX^y~;ZhzH
zX#VNxoLVn~I%BlfxO!F4jk|XzY_~b?v*~4!|4|mrpS#%c2vbAlG3`6z^Qmy9lyQLe
zO%AOboNI8nqmIUcZ5S28G-35%R_W9<0a@w@WUzhLKu*o)@`tzibwV|KZ#1g{GPd#k
ztxHEnZa#fORUz7NV|nbfkPHzyFEfiUUmzpbeB#sO3>}c?)qKrFRYbAvH*|XY$f$xW
zacoDwF1#?5T$<2RLfT@sUdf^qG!r`>XriMJeM2?^^%}}(<;0#ocM=6f9AMX~eqaE!
zKzx@7rwTfFR?uXh2nB`p^oiID8v%1-*QRl^3K|khYw2wxqZWf@4Uc4FP_HS}EeKFW
zU80Kem@^p(G8U){ZJ5CQLF)(mdR37eOOF)!APLC{eN?-w20$rkJSZckhRU2JQ|KS5
zqf2V4d;fj{*u1c+W~-=%nuOT0sP|P7c`HtY;UEnpHb*APHdT?pHCp@`7iIKgEXAtv
zGYwA5I;{$BpIf)<(;pZnqP|OAsfQI!;cV&UAp)l=dNg_Sw!5P|y8OXrzk#1AWXvAY
z_P16+BRBPR1duGM+>!TQF2NKUo+M?kxhf;i)rS7;(^6>Hn}<ruDW<?}9oBx%LJ4_m
ziN3KZ6h$)jk)ubWOd-VS*o`edMa0axm}F!mh~#I=?|yYL1-Gxd$oiuKdSP~b?=?eS
zWDylnUnXM;pYGg>WIQR4a`rbk4hFCz9={V0uJvs5sKGMrtN;P=$4TB~blQOossqN~
zU!p<L6Y0NuD!2drw|mS#4Cv4i36JOJm1w|8m6vpOlR@U0-|Djjm+?C;wBx=F06qNS
zoTEZgNNsHW0G;0~Ufjm3+T;l^WS2M~k|vHO(>1SrI602r#UANS&S79ukbcIDB8n{c
z-F&K5H-Oi33k5wRU{Lzzop%0$5Mmv?^RKJ83zxM`RG&Iv0$1j|($|IrP-3fxM()8@
zTrz}duY960Jiaoh{(O}WMQPear#x%KwZ;A&a(rh5YVr&!!rS@KGVqG&C;2^o?3lKN
zG=mW|pR&5>ynnk7Z`LLVeQUtm?f#4pm>UA)tk{uL5ge$261Lg-=@VWx72sHZ%>Wud
zI~<i?W<#d=2}e%lf5HC~_<FacS0C*2zffIkSdc+xkhP+B7cNAQ9GX|vhp^#hhwO$O
z=m*29Xy4C1{0CE;ws@=_9177113o4sGvzliw>W@1=;*wc{;9j&TaFf8yUTzs^|_l6
zwMTF#OIC#+m@e4GJklO^rAOC`l6_foe&O-7x5Cs%I-n`ltkb=R4h8kFrtDY#gU9bN
zv0CBMf%KR@;pmY~yuw^oe)reEczg9>TY-z(;C_npcS_6#e*PNgrQ5c%I9;5Svj4Oe
z^xstTp9o#Y^}SlB_8a}fYhs^f_4;aoKS5S%Z^0UVr*G1x%4h-iWJc=F1DasSCZe*3
zxQ352NsO%SS;9NbNQSK*n$Z6+D@}WN72lbaXvh|}f)A+)vS@E}htbju3HGnzH7q|3
zj#aMV^gPUMk^WRL${QJf&AEniW!6dQ^KRmfb(5P<XDM)=A=jhm^cpVmNB8EsB^?s6
zFba7QNdb)~jK&gt>$vW$ozQ^{dQ_h_-I>ozf%*kb#y^AW`1m1de%CDq6d4j?8~2zD
z(UH-|vPL%WbC@aJd;}8;dyuv6LnDKbb8p)|u`L|sWKUpX%;@Z+WbTSu5)=?qI7Vr7
z2!c2RZgjAqu}24m*ceGLb>l6r%uA2@iJcrFrEKV`yiB*Ky#^$_mslQOqen-~*}AhU
z*wI_By_I(P>L7E$FV>Bb5mh)%8i)*WBD)uQcCyUs@QTc=N2kn$1~wCKvq|%y{{a91
z|Njh^X*iU96vpj)_I=4d24l>Ou`katwhB>6B}9cR*^&|oi53znOD`2FNkt)wo<AXp
zN|q=gLPXiu@cMc_oa<coS?=?*eEGMO9!vraTlcc;Kz4LR$L0N5Zy_Z4S3JymSQBzf
zQ<te-9O$wAQ`xF_!f5-F(@`^TO(>U2&*4AJg;*j(l$C5n(I`!JyUv^j1XS!at`y}#
zG5e0BX-|rwo7?-(hhEbFVq)Lp=_y|HWtwlr{h0)kbUadV(L@7YtjwK%zPtsEbc+S4
z<w&8d?Qf6RuBb!LEYq@(lps3x@YvAEQyJ8nc{6P2y*eDZT=2MIrw|(UnyPD>kVDHE
zmydQoR|m(TRrS2v!syngJ3^l|6i}mxbBRp3I<&4N4D8+_ihd-BwTzxrM6L%%Iz-yl
zVZZBt)uCBpNJP<K``i~LWDslk`JRvlWV?pfpSF@fN2@qQ8XZ*-s){QxKB)m!GE*$K
zg{2UC?~TH9{i;aO(=V=pMH7VesCVm_Wl*-y(fY%2YUrS<>c}%(6Q+KttC)z$q0lD_
z?P+@I=<9v4nEp}{kRxrEo><ExEs{gm$3+dqnunVQ^=rYzo_&ixtqSO94lR#_NN6HS
zX)t}KHgE<Tq^EKyA<4&D#KuH2I&arMnH@)gumahv9y?|9Ah&WaLy3Y!_54ar<EikT
zqI~Ocjtb(ruFbSEM?ut`{==eAXu#{_ro3%V6$QS2!k<@0MJzln|E8Gepqn&U9Al@3
zsN@!>H~VSm3+=*7`6yi&eaj%W+$N$|j-d(i-83|E^;hS-tUkPJ4EnEPL>&!C>+RN5
z*FoenDOsL<1|TICH&-F4i4O5=FV--0&@lbOvs;x$u*|A06ha~)`!_VBDOnw4tzeWV
zaMuLX-pHxSOKKt2#i)xC&uA!&>mcuq%Vt1osGe8&tc8S@lRI8*P!ZAL;}>=v0JgRs
zdf_fI;uJ6{KFCQ$QobvkPlU{&hs#_hB!!I9ZgeW&&e2BUhjnF+_Lu|5PQ8Jk1Twmp
zM&onb)Kg6DmLBCi13YC!xDL?C$ko0icP3RGHAwArd&+GAiOj?+lUZ8mqPa+c1C4-C
ztAFivUkfPfXwLull7s@GZ{>ZR61sXrJAUM@1te*O)Jx@RqHk(h-2XLhMbE>0(<h!=
zfK}qt<HB|tC~f4umFgi$#5hur)RSic_Wvr7;YT8RN0KxwJR^(_W?oISIAH-2e#wpn
zG&PjmeeP!2aUP`0^6<bV4GYk@sCVRetSX`(%`v!d!;I>>n}V?q3@Bh38k1~PM#s$S
z?fk@NagP9-;TK03AbX#<OO8hg@%QM{g?xK(_o=QEPyd=j^nei~bFTuD{O|4YL$5wy
zYx9ju^5N!CmU(ZRv%4H3RHlnm#*bnF{=_=k3V;EZ$$wM&(#WKb{q*3oX)Ho=L2ySj
zz=xE&i@}%#TFuprA}r2hx37t`OR@ow#UDx5M2I5xs%>cZ*Ci~8W9ve!6b4iwr|jf0
zAtWJZ<aXum3MT1#wRM<k2J583%W3igsN{h7@{Y@^nBT9p2co-8A-kgrZ~DT6&Kk4n
zynVNdor`i*+j+(W7_E|@{g*h<{#Et@&g4~W%+B_0Y>_e84&FCPh+;*$BPK8WmshaD
z6UFr7gGR8j^-S7^8xyk96DJ(kTEWhDrw2V#G=ig*zW=t6R`J5|dnQrl%h+;_v(BiG
zA(ZCzm$Vrz;Ju^<O8>ScZ1HKP;_Wg6NaHWg%<q}TxAM2QB<x<qtUW(-hH@G}W38$$
z=iG1HZQ$?ZC*K9EW4+LA<B&eIKK&!`R%RH_>r;x*&6vj$d87LN*64u|-(;<?d>>v~
z9?$W8U=AC|J2p12pa+==!-HFox8sLa1NoI~=dfGj7Amb5b-`k&pqDcA2EU@FZ?@h&
zi|rH3t2CUa1Cv{d%d%)D{$5jp**j?#`xNNx#pz9lP7!hbujESX8@1H$y7w%0DB{&6
zu5UUJ82m+_r|cb8cW3dz_G7b{ONFSpn3E2qN^8xH@U&xTNeQcKsk7LZ9SYezZ8V@p
zwFT!@cVk5t+2nbD&SJEy7E|wb(ZEvGU+XnbAGQ+k@mZ_;92WWFfsa8K6-dn0#;S=w
zurzZ8I%1i}67rp|n7LD7_D^f9_}?LHJDW}2wNLYyYqdLX(-;Nzbd`iw*o<KR9L7G-
z-YsC9VJ(?&PE+8;qYuwsXaB;kd>nf;Ik|{wwWfbp;-x_MezKRv^f)$<y!hrAEMuwW
zmRrlswc$_5E$G@aiB&h}5G(3du(=2`y@nHHc=i4<t+4qocC@&J+4a;v?5;+^_kdz8
zs14jv-$9<nPF3Bqck^7wGUiOni++<JS0K{K>GBLFH`=4D$Y26V?OntKDhb3R0$#mX
zoy8U=DEkFNnPJz^g>u1YO>mS{e*HIL9t+<6jqh_E3%vhili<^)0g+>rXb#FECUae1
zfmfdmEa*hfa!n0rA2y38tuA4?yj)M7x3NP~-*XP#WOeu$HQ>}Rv4U}x?U0bU$q9$2
zj_}eKh;V3Y$h8yPYnc4)<5j;CxnaSs(Nf%p2#Ps;=_<|}7~yd_5BU)<gtrzB9T-r9
zIi{BCEfY-8e3G|x2OB?dkAK<!-(fW<{*dwb><$(nO*x!nw-bc>j(Mtg{t)2Yn{N8C
zcdW3}P4U9}av_*<_paV^fdHTX?tH@=zz*}b_GlO|L_qV7ZAOn80f@J~I)3PK!i5G#
zv(B6-I9?hrO8ue=&0=<vcQm-+8R5ft!v}E~tB!P5xv2`2fVD{doxEVNEMdddDG9%)
zr+!`aQibz8Iu@S_w!r-=pAHco892k-@tV3#6}ayui+V~4!j4w{zTsdwAl~)=)(@(1
zWp7i4MYIs`C;SVQ<4}Mh54)njyH#Pq>PXohRuQ<4ZU8w*5u{v|tnA`c!S5;8$JQcI
z*yZLC88oK^DPKuS3GJ$&Ys97WIb0mdSKKeF-c*55y135|TLSQNCV$`ND+v?b#*W>4
z2rw=5S@+O10YdN$vzqhL;KhGlUVub|7&Q^O*Uf4`Om^<pdMgW+9>3$)Wi&t_(*8(5
zKM^hl%^v%tBM-*-Cs(3839^&wjlJ|WKxjOe_2^FpuzcdoJWVFU`3@!9sjr&QCn@k^
z#9RpyiF;Wk6)7M^-pDrmtOfGt%T9TfD1();faFmE6}<Dm%pDY_fVYmhY$Zt*{@RYj
z7R%G1Ufv;t6hH-N)nz{Ni~!f(nzN^|>cFq1b5@2+G)Re<u=6n{Lb7?LpYmHBh>n{`
zHm#sTl$z2vC8Q2}ex_mi?sRCaZ@T7`uLpC2u2*dJH9@>v__c5~9mcOD@HkW%K-0aS
zY$7*FuxslXJ?{=WkjquB)BYHN{zH5|`jZyKaPPmF@gE&Bmr`>0=%#Sr+*Nt4hYWjZ
z^a_(LbZ`)?JZ~9+K~MSBht&JpV7i6NC0SVqatGMIG;{!v?r5ehiBjN-qhDXlAQcF0
z4@6#kF$d1LIX6`@1>~-%*>BrJ0fI{Zb@D3)JaBt;zea`vwOlz@ySTOB(Z=-2kZ=oV
zFT_6FuF{66*rfI)F?IO$YDRhot0nMePK2`!lYz9&GKRRQ0$=T}mppQ}gyhd(^EYrU
z$mzS|J=&uHeYgI*)OXPmUYi&3xjT{ISaR&NP^%P_|B&IMUa$mXl`iSXCmP^Y^)v5m
zq%cT(s@Gc|u!JhINR(DD5gyY7xgUJxg#Y4>G}8Di;gxoK>a*XQ^R%?jdt!D8n{T-h
zclDkHMBfuot{ztbC+&AFg<4;*Zq<7IGLi+1X)P633@gD4E3f9nsv-Q!UhffFAp<V<
zq^3BIDu4=Sdq;=$0-m~ln-C+%fYAdR;b*7hAgRA6xBSBfUZ%9~X8$#FnA@r4e#}f7
z+EVg)7=f&4VPw`ggxws%nD;LIs}+a2TE)kzlk6y<<FMVnvj9w**FsOkia@5a+d}M3
zP88?);84pf28MCdMG7&3aH!biIVF<|_4;3JEm|~#hUf05md^5mLDZkHqte`HcI!9i
zFC1o&U~=;y;|vEF(Q2E#Fm6;f5o~LtXbN|1Bg*5am?4%q_hO4OHwx*TQ%SWpfw`wV
zVJ2m(Siu*M!HqsHbb3qDpm?}3XfOrm%5D0J>B8;nU(R!(jMkgD^3%<Ei#Ttvk@XwX
z$}OC?QshE+hw?`^rVL@Xhimegs(y@kE??na9Vg2ECHCN-ks<UR&KXsSYQX-e1_m&N
zaw1Aulu2Zg0dTy?_ZSyIxRjdN3msifR8&;RJoQr_EccGXkN$3a_m~^17ve;^#D_*h
z7W#0xK-Q&&<0mfC`O7wqmlLgC^oX7+)PsfEs~uN<jpJTz^;gfTaw4w3E=L+f^uXt9
z(YDK3Q#h}B>XRp)oajMp{*ZjUE-*Bko{PoK;$}gGnys~*sQZsWZObwpmRywVkp2Q*
z)A@N?%Z3Xbm#>nzA4Z47U;_)UcT4!`Isdy$Gh9fMNt>QFrvs;#X*=g(6|dMb8*J6c
zjW#vI<05pxA;SGwQsEjd<M*(gUdMyPdx>UYoA+R;P8zRgV?v~rn11G8yoj*F;rH=0
z8a(##J+ViR8M*xaXDn#A1$EKgf5sAMFt?)W!+o3ub(4zd3l;pRnE0-^6{kX!X<hJ}
zVpbGMnSNYL6-4IOBv>Oi{k<VR+F5&<4Viv*TlZ8DLSxY{xoTOcU>bQtx@#{7vXLcJ
z#1Mti1Dl!Z;o{9buJ$LXHgY2VuJ=iYY(>yJ=CSvf8wFY-E3L!rxe<IXXLY$OiXvGw
zo*Qi51uFwejo4ovbkg;#(7=coYKZqfm0O?<dkvmXTR-7Lm1YFzz{3)#s@WigPSFN#
z;@&LltNiH7gzT>K>yk*V!Ru>A3mF_OTxqJ?1<{VEq{(a5(kNLi?VfKW8Fr@T)xCBX
zLY`a=>0>#vsIq4ASc(}L-Wu?fM_m#|7rnIKJ;>jRJX3ajH<ToU)5w{H-ewVW-1U3D
zjgJD_%^Xqqn}-Z_B8b^qMGTFum{3lnD548fFPEaF$gux<;>^lTaijrVX3EV<i1g!^
zg1XISJ-ftfcvU1(>c)b5skjQN>CF0bCW8zkPaOV0ixm3Y%)&f)LKUsO^5S;o*M<xC
zO5Itm$sjeo{bn`&1oVk@hPv@o8}!X3Jq&{6keA04(~*5dRPe^d%^N6ip)ixA<|~i3
z*;xzpcB!N8>n0+1>L{S{iOWmrwE`l<9Bv%nuZjE|=UTpcP@&7@gaUiJA}WTTOZ{CW
zboTP;MIkvF$iwnKk7*^uqZ4=H%r-LWyy+7?u<0+q-=5Zfv{^T6%FThEd~LM0#r3Jp
zybjcI%a^BNs)(|pJn}Y>f=n)jtosY=!o2p_+rK^p^xxysL&rBc)M9;w-PS=5^c^&~
zYA&mx=IO8yURNp#z0J!O@=zaoN!$xt^N6TZvP`2Qmx}JUDSN+=H3VZ1WB2F>>L{o8
zH>IzfinbTHGD+ndL9O}d#j11-q)5yh`EiSi?$kBzDWaPIed`cw;2}*!m#oxyY)3`;
zzF*_tyfp>=JLBaCSV`zm(|sSOMhbE#KhyKtg@OFrxVNpRNyxmdQ9g~Ef<DfYVkQm)
z7@d3<ufEBBGa(txQk%Ru<=$*w%V!RK_vFeQ-jGmGIy2+$KTR~6U-I+k9doc_rfPGh
zk&xu?hmu3l>S%5$f@edT0Yf()Uo#+((4D;TtFJ#1kmXoTHOFZNWX}8{Z^UXMm*v~f
z*0@#Br(M0*BPtk>cAIbD(nAe2Uz&5-m7$1gYCM*_x)|^;&E)>aJay#B8!zr5FNY%e
zlYVaNVSs3Q>^r5CM09NML~k#bB-$OSBi>ZY0Q;N@u2P~JdT&W$oOcsJ7u{){&gl#|
z_ufB+sZkYiZ`qbt>A{cK8&l0YcQHV4rak7=UKONndf?KcI47EVD>J6g%m5w3Ya&a1
zN+@>8wvRf<gkDz`uEITYFbQS4d(&4Dy`M<h>JzqzpMS)($HCkj5<+C7I~U~9ynnqT
zLGKS9j;Mkb-2kY3+--&?hyEGa99$Frfy;Q?Cxr#T=D%qF=4gsEs^)su_-1zt4hf78
zAsZNo>j+IU2}>eiQ6Ary7lHkBuFCHtU@-QleLMbI3<aO(@}8-y#|}#lJXPIg29H%D
zOqMf5(CIgHvA@?oVS^(Fd$P}&LXO&(vZ7oe)DPQYri<FKXAK9{MW361_Od{&_dNl`
z|DmJqtV0J@cq;!J_k=O@l%D&h=FPY1mp#=pob6bAn}}qohB3VS`Z!@n6gN_S-(>O8
z<`ZVKK1mk}GJ;T7*pWKKfs6=E?(w}%n8^kE8IdYOhzYJ{Qp{jO+h41?JW;^0v4|Z$
zsa%F|`s7K|`cxJ)abWLum$U*b<Y7k8em4WyRXv)m_<;%anvD%5s1)MIww8L(U+BZ%
zAG>N>lGpJ%Guy<4XSMi|9TF8&V*2psoQA@O$yI!6K7E+=K`VYr!O;3(gdVVN;b;zg
zwv0Pk#m%h$=)heVp(m_<=tB4Fu(<Hgi@5Vffw98sSG)=nEseL|^eN%-Cr7Ln@Iu0n
z@SfxWysgPJXQqY@*)05tr&;ImX7(GIes_lO>B(E)188)3*($41%RYy9xkm)QuN=YO
z<$mnzDAEBx3nyn$>skD6OP>E=&loPoA9qDSO$V$~o%IFr8T^mWw|jP6lemJ>6)yG%
zGzi!odQLQ81~-3U!TCvL3ZFQ+J^GFY4HgAXG#YK6!7B^Cu_}I^#>4M-&VDSV!jkIT
zg8iNuoHD7+doN`cFCpABi#MS{TTA1y+Qb<=j#}oY?>UdZ4B+A_ZKgo1rIB*s&ly~i
zu=Z|k$0ANtj~}yhrGRRxRYCEwSzO!tevbF9WqkUv6eE978``60g1JTJ@G}=f^EDz?
zadtDAn$sfMV0}jCcHGb$p0q~&;rMn9U*x!OK-QKFNh#H*J-*K4H`kc=XDcwF%>PbJ
zWnR*P=l7eo`7bTtcTY!^S%)*Dv@1oytRFY|V4QgHm)R0Nvn>AL)hG+fD`Ah0k|6<;
zNjov~=`wyZ`uRPx(`<;KD(z1T(u7p+?1FN;RlHkk;@U1v4m6~4<kpd94Y0LdzqTN`
zhDX2ft$o49g<2dmJv_BEpg2RjCP`ugC!DgWJ;TL=F1_07m7b{%vhgNsBKMgP<wnTv
zKSq2=v2L(Fl20Apj9;{h`p%3#NrTPvJN$@<Tz<T|M1;^dt8e@1tO(y7XYG1h5IHez
z-zqIcgo7L>c&s0@q0$WF_p)1rk?kkD+ZXfIpy=*Ow6ZM+y7MvhlIwq)`&Xo{sl`x(
zDj6HHs1O%=;lyFH>L7-Et6w_#ZE|Qx`n$O(79JF`T$1)jLjvu-@6R^=kN{P}z81{N
ze8`ien?R>Xq40|qArHd|5X(2qbvB$INq+1LM~7w58E5D79Qz2+e@E%)*%(3OIi2(N
zP{XDl?g<S4U{8QB!4>n}Lqf<aL&Rx^mI4|*PH?k#Cjj#!e5}h$1d+M_2-DIOQN|E|
zyIT?gjD9e#Nb`sx`A8019${tl;#Et<sa^ueqJ$#8&*Erl=ydu-u?pHC`Y2ZKQG><m
z_iG-wB$_fzc&T%kfSNxi&#f-1L0wxzv0uA1>LiNV8&NjZyqW;zABj*>xqNVvUk)9}
zb#&wt)j*Y%6@e^+>hPoFYW84=Jo>R+kYfus30*UITo9(G3ECEQN3+%x(E5v+pXpp=
zRJkza+txt>?z=I~6elIL!>Inn8#W4J{r2--Q9T)IF7S<Jyi`U75yxLLF;P)CiAm~c
z0tJjO-cPutrHVG_WwgXURK%#BG9dR*p>K(h@}`i0avfxa9pBQ>^V~2$W>+21zhK)<
zBoNVbi{JLKb2><pZgy@Pzb+V*MRvI4sv}~Xu3j4-9T_I?6Caz<gHAh}&O=<9NPBou
zO6o8jQNLzXKbkfG&s`x8za1c<$a-RuQy3jR^f>>#RoEC1wx8W6Q42+7uM%1f=_t>z
zsc?{C3hpwWuE|{>qxVk3TfRTiLBAhp*^)vq=-rhh=V7CbF5f#FW70%Jqr=rtpaGz*
zfJe3FjW!avjLEO3Qqj1t&9G;UIXEh4CJj$(BcTKV!kiEV(SDf)dSoylyXi*M<rZ!9
z(BSC3>|zp9nh}?gvbBJ#fg4@xyR?x>fAw<RAQ5fD{|@7yEugqDtom#`8TmZkNq_cN
z1zq#LA96y|5<V&2U~u|rp(`sj=6sv|X{fyv;I-Ehl<%r1b@P(Y$s@fkZl2PJy^llc
z`W{OtTsAb$IH`e(7gNo+_lTge6lEXH%{+mbm*t$wh-iY`Ezz~Wjh;0hI#@nv0i|r)
z0<Uxu&}^1AHruv_GiCU=Tg6&{e~0BTV?+g2#7*>`HXgxqmuFjRw^+crO6OxPGfJp3
zN5Je5TN~DxUq|z}$^eeE<+~DWiYVZLLtRn)6qaL!i5=i#fWkyrXot;K1ka2sPBE=u
z1L<#vTh5sSp12@@mq??X*VBKxTxNoAhRyD+iva1R62udB5-8xK&aka8E6gm2C7ulh
z=$6v!HdGWvAMQx=pto!w8r}cs^dJVy7GHyI(1cJu>>2dxVh09O(2=|`Gx(!4AQ;KI
z1r?T8=C>c^fNkrNdFrdC@P7PukhUxrdh#GGoOGQ7wqA-orzT+vF??A~wvSj*wu4eO
z#BhM3g}?6}QxkA<%DS4pcLUEql7%f`9MJVlScP=l7znBpud@hCxYatJ=$B!3F!(9Q
zDt6xpf)D=V<Eom*HR}@ni(=RzcTV7;@2DY!xQwKAFO1?RzUOFck!6S1-#Jn)Qw(80
zivqh~@HbrFZeYs>VgsF^hMhlS41m0?IAeT!9j<PyZ0Q-!279mj*v@{@hk&O&O5*+1
z*ij1!E-!O7;Hz<2wA9rH@ATXvz0pogJ=Fi~xGEb^gVgd*W$J<ZIq603^dDG|r25n+
z0vjYgafvcy)&r*bZ>Lx?N3r!>%Cey~8`RcTk!^x>;iKU8XG*e@SaI`nV(kSs@C>mJ
z^&6x^s&AR7nd~%XFC_Kh;mBs5+Mu%2E_8_D6zZCYoyGQDYjkGwV~6qda|^q^=)jcY
zhflfh=CMT1g&Qq`91vm6Gu6Le2NvTD%-Po#G1jCFS(aW75HEE&Bi6skgH50NB~(|i
zMw9G2uUa@Eu`12_k1q`Z=ZhmqJN{v|hw4rBesTfZzl^@XWh(67Uf07PwvJVolx+K<
z%mY2&=zj{5sql%7OyS$h1V%eq)P0h9;asO(=K}&2R7B*w@*|kx{1x3h&y}`-b6-JR
zRy_rXwK+eCk66GoDY|5Fm>)|0&9WZ&P~c24;dK85E0_&BW_1P#La4ss5T76gjs;#9
zS}|vbckj|StYU;<?0N}_5Ty;QAX1k9m;?GgzoN805e8JV@m>8V8Ty*CwsYug)-7#J
z;$9H}9zm)-^8qrHJ7a$wI=R8i&;3-%5it-Vw564Q(}KM1Ip-=ecmXwJ9Jo9w4o{6w
zev3P<1tEf4g(J>xfpqFluA^C!z+JME-Y=j9GzE(<eU}7)V_jj1*;g9g>~u7buP4E-
zX60b10YUI5C%E#t%fkIY-QE+)B$#YTVeS(WhOpPdCG!zm;arEYAKP&f*pK9|e>o@u
z3w~|O6YdJY&r0_k^&&wJz0czsE((D%f|(jO6hZ4oj4Cyf1XI>$_lKB?L)z<yy$|}8
zz;uu$-@Swcn(3az@*WAWn0<4!-&6&Hj(TP8<JJQ0kB%D-X;P3AlBiSsL=~)0+7$a=
z)`H-&1-_1BGB9Z-sUSyD13YV@)y9AfZHf{a4sLR=AotLaffIpy4QdA@v?1rm&LYJi
zd1&krzdOHA1J3&2xvC~X0cA!L)#rl(EUO&r$eYuIIqA=Kc8CJW`@bI?oK}P-pXK91
zSGC{+m|2!yqQXB`HY*VYW#~#F|1gr#1_c3QUaONdh!Hx~WbLd14gdAFWN)K@-EK=?
z$9Nrh$^Nip{F*8}qoh0Bou<G~v!69;FE;<u6uE)Z?+Ku^#(5wimI}Lh#Le3I^gxkQ
z_|$PGBBZ>&+>$;;g$p7VJj>(sL4F5ow!OMKgsxt(oz$a&aB-28v8W+LCve`WH`4$%
zlMz!{dm3c1+K1nJxyhTgjI+H4n$Wddd#aj5gM#Fc_VoZ0h#`IN+9N=MME<@t(>5xE
zhl%&wDVV{njCPvfOA_oXg^DbL&3LDg5^oa*+WSf)?ol`UVEUVL{0If4mACFa^$5Ua
z+{$+(NDEw>-x~xxCBx@q%2G3j%t33$XUp+mEnu-kmvMa(q`6>HH&)GI>x(3BuFX6J
zZpH(4;p$LB@3edp!2sj#oyO~>B<R2=|6Y$LfQ_X~sL~e(toZzD7hBK-y^l3qKh7#c
z+a%k{Jz)#@9{>RV{|uLhKh=K}#_dg9dvC6F-ODBWd+dgcjCQ0!l1f7)k)(l$ghGl^
zWJD#=_heK;MEXgJtO}Kpk@@ovoX<J0*XMbj_cP4yI^)l#1Lw~NunmSQ0rf|KVzsU<
z$o#(dnf0p{q<P8RFfo*cc->rx)wG2X>g$spNmSr}q_4WOMI2<C%O`hn*@DWH`*NPT
zCTLu{qedAKhIKw_%#daqP^l<8bv#!c77pDsNv89{$ZPI^bx}5eVK<LWNvOdEZx*S?
z)vR#4INIDp!v=cRU*O1zQ32|nTg67R(?n=ZPU91_hCaSP+3^`A@C!EfDLVF(*ekyr
zA?RTZ>%&~dcmGg;bLLO4-dfv6Y;4yu^6CeOXDRCLUy_Ah&eHT%na@dh<NEIRVSw(c
zkH*sG(jdFcpCF(2iTra!CfItB05Pd?zp&d9AXD5WAatUiRG;2vv|pA0jwzvEQ6^##
zCMmo))A60GeleLyv9bbZACadsOCmsV_}=%$dzcLD<?#00X9=aYmjzCZu7Z7gEVF+e
z8zI{kCg{y67O<h+-=A(S03+3G6qWrWq}wZ*vsDe|aD-{Hd2oma-W>g<e<ymF)GWEr
zrp0Lv<yO2Uj1f-IFpaZ3wETnA7_@R9cQAt=p=EXLHtax4+i>!lz<1KHp^fWHf+^g*
z=hM#qg9R*3UE3D%et;~DG#R_sZ33^;c!q-RFA^U4{Hd0KeWXU|Cgi1?fWQ2|{SP_k
zh;X-D--7Qw<jp6qdMYohhOM2CvKu<52?2o{1GN)f<TsI&H6cUBP<tVEzlG#qBCwGq
z#hUVw^o<f&TwY@g#=%l0vQNedG0pW$&%EA~0-UzVvL!~))!4y2==FyPd$BdJGo^uK
z<OJ)b${IoA<G7nnT_c3{Nl_Yg5J@Lmk-YU~ChX_h5mYergSe!w;w)}cN)`_s^`2NV
zg#B9m0~~=v#H_5^Zt=X6Waa1p+qn~lklFKY{gLeh1aWD9h~K9N#OEKy8SUc+V6aat
zD7B!E&{|>|?t1o|AcHqNd3o3Xnk)QNlbyd25l5qQ!=Bd>;^oYPj7bKxs{Hx(-Mp7b
zP%x<z^lc=jUq&x*hce*bX3jg$KYk@_Ou|`Cj<pg`D#}mjvN3?YJ6G^?!51Pg?$__<
zY99!<%IWCX1UeYKKXcJ(q?>qqO~LY&*M9_est1EzfewZ~#qV@4cN4qhXD7)kUBqy~
z`E>DJ`jD7B)EN-nO>ECzJh9yQg%GWJk|rKUgH89?-e)&=6H49dlQ^<^2`#p`h;LPT
zu*)lsF|y|i(ey0j{Q6ye#Jud81g}Y5NDPnM-fsVuaGzi6=59VfypwJ>^w8G@c_;n~
z?Vuh)!ook%o-sr)m-s}h4(otY!p{8gpkCtif}rHtH9v^&wNl!_PqpFN8I6-hYrhe*
zIdbfU=Z6WSzk|!$*|lL`n)~Zs$39}tM>VKoe3V!mP8`_lp#?JOCd+vT`U&MN<2RSC
z{2{6wBJ4sRP(f`XZ7coB0FhK6(yGQBC-(d_5Q*ia!o`SVYl^gn2(|H+(kYxE^j>z_
zM(@=G>Y@y`z4=Z=$6rhL5B^J>`{EO^@2v(XzFK{%GxaAiu>C?$lhZVD=v(l68dC!_
zA3Ya{y*@&0<c;?F=rK#YZ*48=y{!()3P+nwTYeG0oRoX+UzsD;%A|-~kWdG49~Gx#
z%43AZ>Sy)CY>Na(P1SePD{7!I#YL44A19hvB?sP=FB3mpxf;a<)qpkpMsoSw1o171
zy^`CD75@4BlwOml3coIUIJe&VOB{Hsuv%u84LCQ@Vg#gBA@Jz8xShe%L>#AxTzMS_
z#Cj)am)=u>y}zepYmUwm1~G%#8<7hR1?OzZuuuVt{O*!Z_vZ*poBd%ue|X@CT8+A6
zr!t((I_J$Pvq-$O`<MH4Ge7vbX8rOyr3}xlnqD#AE)$QK$KI5%2*Cl@LheKjWsqPn
zd_#O#fq%c0jZla%JooW!_}--iNteFFKV)NvrvjeL0Z|H^`DUyhm#zfzlNEY-EgWEO
znsX_<OB9rqDN28KD?w`PR7GYZ7t~RtXvOcufmUPf^TAvR(vrOzX!AS}pt!C%;;$sw
zNu3qlrK$uU%YxT9?B)l1*W(V{t}?JTXzezdyb?UtJ(;G$D+Fv2>j!-Y<v@sO<hoN=
z3EHB5Tu==ah9<MT9nlqvaJsYNM45*Y<eU8UVp1qDyJlwN>3zx|5V1<_L531k&_V?B
z+eG2L)J(*G6jiwB$W?oledXRwjy+!0;^4Y*+10FXB{w#$7cRJ_4B8Jo%YJ>3gg+AN
z;%Yx=z=qjjJ;Ti^@Gzs&tyWeB>L<+Ef__rL(=E3;)Lj+YHu*_pC(8kQ&pC@cc^%l5
z`*rreL^a4TkG2c4RD>>8U!R&lJ!p1FTuzqJ0R6&OkAnr2A?fU*(XkeN_;^?__U61M
z=y7=Kb6r&d)rF}1IC%yHZ1FM>BD5hq;p>yFdTJ24yC)^y)c~GHbuo|p(FM^-A?iez
zItbjmGr|Zl1bT1j)fPTFT)Yr-^7=JRh&8N!aVdrgyf=TpzVn#@a~huo#J#k@fAbrO
z?FWs(fiCD5H*5&`FK^^8QFI_<>m%s|1!JfS9HM(MjiKjMmw68A!tIQkv*H(wVe4}#
zre&!K9QT}luIEMr;eHKH|8!%}zmtSY9_AoEHKt+sSRWeP$xHj~jG<X#?|M@{E3nz{
zpSD>L9aamC$(5Wj0;|xS0nIxAMs4y>T>eal!Z#nB9<E`6)B4jB+wNM!tFxMWF3K_>
z=j56)n>+(ZK4Le0q}2vIkNY)sQW;=zR7=S;mk$5V-R`e_XA9X+d*21IFyOD??~Kb8
zx)ArwEWIMt4meZlJeP9l;OgwFzqVZy@&-<uqOv`>-!nNNDolr=;uGqJJ5-?UL(c?v
zkUfkY+i3S7n+CDh*O?TL%feaiG5y^U_K@hKtT5H83ld7n2hVm>z*2wp&Qn|L!Iz`*
zwS2uc#Fn?^rtjqht(v*v^E~#j&HqiOa{?92cFsA>{u?El11^?zU$X-XzY_*tRvI9r
zBkhmDeI(n^ukm7jJNPJdpz`dXDx@s7eLHw~fvnkd_^0YoTi7m9Sl^$d3<#I7jO0Z3
z5aHAH?KUtIH{I8gsQ^MZyQ(UV@Z$^MvGq2zfp4Y%oljjS1J21ly4$a<Lj8sl&Z|<b
zL3+Dacet?x*az_#o12QDUpnPX^wJ8q7}@yy?x#S>W&R`f8Whx)(!OjT1aS3JrRbA)
zf-v@0=K6Fo1qWD?W(1oESnCyV^*>*3C=GnM$8n5;wyCE~-!xjmtxUV7&^T6D9d^2D
za)E;WlUYpWXG;jC$shlEX_k=Q#o<=_oq~f-{H@;qETCeJBYTI~ZzAYWUF-Y{3f_JI
zQ$Vc0@S;XT-2z^588p1+?IP9&H#+pkQ;_ew`~59D%;8P1ZJderBT{Ma=Q&~r1;1?c
zKJ)RG894FYe^ENtL&k+ZTKCS7f^F3m38}wLAt3&ZT87Oi$sARs<x5bImFA)O*xnTC
zRD<s4=1-CmVeavnycE1;!d-YI&jcjvH%gA&n<YzfO=TihQBX`Ur<EpX0!9DM#g!T^
zl5?N7$a`s1a6vWH>u~sLFi5fI&n{*`R*Uxj>}?c`e0fEqbHW(njjQS`v)C}>Tg~wU
zxfIkmb$*lTVPhDxwlrQi$boyEH;YDailTx-!ZFRiMxd}|aKlLrE_4lye;IH_6t#B;
z7`8^Na87EYMDaUrbpHKoCYK_Hs&s)Od0`_EFS-%PeUKNUtxcQ~NHIL_CZVR9&xAuF
zA3pBj=EtzK!Z&Bmi{sS?omO0qObF7reqZ>G07hJ?4{Gs~K(Wa5rlnCs@VmXcoZnsu
zWhZ^C+jdLhY47|2uM9&_xV~?wZG070S05Gn943W{H2>WPTnvHgAYNAgQ5aqA-wPW*
zltzOL`+`CNLty{r>B0I!1b>^G?o*zZLFSgil<YPG;Qr7RzomqN`$5;TW{(_(tQiXa
znqvUxnv@rPi$&4j{qIGIVR=mS>=%?dWdK=&p<@@S#Bi5iK1cs0MLd=N&R@pc0HlT#
zKJ$GN$69kT)%lJRrn*$Ckj@71fJeJ(hEo!KB`OoB3CcKP70Xy&X8^)QS~i+?Qs}kE
z_N;Y`3KravyZ7D00JgL}3#F$><Kx*Rqw}$<_;TB<V){V?*ib9oyJK1gsmk*2!;;ld
zMq+fIZK?qr`4RRiD?ko=HpXjc+*3zo^?MBptp>0<L`U?*m^^lH8M-Zy8W@+57Vj%(
z2nj(&SwrU)(Y)o<R7000Zqwa6xjNhs<c8ThX{k#1<eBtj&LkC`3s*bdA2WpO>EF$r
z4=JPY4=MImPHl9mzHm1#j0y2YZ+^ROP{HL9RljzA9aO$@Bsf6E2<}?sTCS(5BK5}X
zzP-yjc)-Q<n|G@b#2xI+__|6B;lqWpE1z_+z-+K(>4q`9(v*H;^hXWd>cbv>ysC#j
zv<+>#EC05xl1breP{*8XHZn|=hNJt|oaQ)W0yjpkd`?T(z+H2R=55h5JTk1;TXn<~
zPXCxl@7}J7|Jw8YDhp|t6?6OBjYu=N=(ndYQizIG+2Ua`X*68NIuSIRY7R|QuN`s^
zs2BkLGeOog6qu6jbS<`k;%A$kw(DqNult!$m%Dm6qAw<TveptFoVRu}PtZaw?QNZ3
zUg_c($F0#%O;%viDD%?1MGLbv4vh-j)j=+H_q%O%1avS46K;)YVOr#!(&Dw+7>S3y
zFKz_Lk(*S@{-%ZcfoF>yE2+q9@zIK{9H30lE8|>=7Pe|GMP6moM26$No5>v3Ab8fI
ztYNbjGFbK=@1?2Z@hfV94{WUAwr}`2rJIWL&gOQGPO7-|f#<<v2d$wyUUjRSB^7g(
zKZZB>DWf*I)4%VWHJp;o7Dzs$iQF59N~B~JF>`%sW%@;H@M`hy>Ak0c2Cc8J?M{@%
zCxidYJHxG^b!a^PPo+9qZG4gP7Nqc6O{=Dhk2SE}ymRPhwHn@{-bk@F7026)oSWy2
ztikxTi}B)PRqUD!>D+LZf^*#}&t{haX0>%GTKOtyrhiOnqmnS1(_Yu^M*!WAPo;#@
zSM=}?J}{^PSdn;R{l-uLA>l~t&v8oFQWH_e{*(vHvjR?E)CJI%;O$>8q=*3z9>yIT
z;KWdZegC$n1aw&`iVcg)qrq>zTiv<rcr*P7HwY6jVCIu?&`1_tDY>>y!>l+x?$ge@
z&kBwjlvpPpmd0%Es~1G_SuntNJuRuy5{^6T1g&~2iPiEQs(hKtq-d<<!*#1H;q=Mt
zSp~Kd=ou1YVx6-@wjCupJoj1v<EN>#-&Zk|?u|BSv|S<(zdJ;Ut6t%XoCWW+3{liC
z_+w)dv_#&DRI5vnG6#oawf6;2Qn2Pfjei3I%Op!%$&2<AW-!1eOVc?af^#RO5@NVn
zFr)1AY;mV49IiYV%atOG3v!bQo6A_R@h7K`kCiFx2=vWZytN9YJIe>H&#_{=u*sBg
zz6tmUhNs{55W*O7<=yX(v*Bk)^#gt4CJ=u^YRnS^kuGyutLz**KGDgE`5n6&-u*a!
z_TVl7)L*VmO)BC*T6JI8`Xysf^C;ZB@i9Lp7d~s88RtaZs|`s)p~fKbQ@j1DDL-x(
zp88<q%#AK@8tBfmMlfH@o;EhZhYyOCcpYnb@I_141=VmPi1>A*E8s032HlkIs&wPS
ze@X9_3pkA6tVHTn`*uF0dw!C*HOG%qygN_uU1b8tOD+u|PJR@Uxe*vl3ZhjrGtys;
z38|T*GnqU2abc|TJ@4&R*jDVBJ@ecUT9&S@mhIukc^$iQ`!-?JcV{L}Y&L{OwPusq
z7y+#My*B^hfC#$%ccUb0-T=(J3u4DN3Zi*x>F!uwQB>PhbYVlT0a*0^>ELq^!Y3Qq
zCTKQdxKr(Z*iLtY6%N1o_LBFi6^>CA;Y$=p9-7Au;57hU)2#M67h$|@P6nR&D}e&<
zt4fc(V!*F4Q&)Bl5sa85T}BT};jDA<<|~&O5Fs1h>E0xQUsDP#)3{_%+M>(Yd<z4<
zCtPSedY^*MtQ`O4J(0yXMM~!8bOsFkyz+MXhA4VTrtM@oE06K+Z!l1V0c>^(=Erka
z_Df;Yv)`|Xqnb{^4U2Th*xsiUT`P|IF+TbpPn58$T&&c8nhrtCp}E|D5@>Hxz&~8C
zj9s&3hLH<&*xvVVt&O7;{&LqD?d?-R&FXDOcdyJB?F`;~txy_|KC9|<5KzO1$D{W|
z88e`0=HdD@Em?GGF|Wx1bsR2;_|N+w15RY_Vf?O^!!Qo*yX~hnuxV-)nf#OiFX?{I
z8~hcpW1g3`h?<yEFcbAy!T>HE66Nt1Q$l(u+i@Q*Eey~%IN};-0H^C|`3s9m`1aj_
zGY%_0$zfk`sY%)p^!2{KdiqBhle%Bc4M*#s-0<rmH#7wIvN-mq-&L@v_ThYRu`Y_=
z<++s?$pm>l$=gZ&s%T@C6!N!L4@2{AAj>u*Xz2Lc<kYK%Sy{LGQz~dE&so{g=WGmy
zO|0PArH;Z^LtW~l_0jV73r7Fe)lk$m|1+{#1KV#MI^QZt$DYZa3o+p)z;mL8Ci_?u
zo5X!$P0Z<NB+G9oRbmS2O>&H-%Tzo*(OZ&lPe<h)3Q2dy%z&9RP*drog{FL8TSBzx
z$a|sHb7HjxbTR3sE#q3a(T=s*?TtR#bj%t*i?9T{Zn?uF$F*@J#*UislZMYVcLjf|
zvVzaoX67tEXrni0fY#;;Jxpl!x&8Mi0g(oU%sL(&%(3b5a5U4!X@`#r?;}=xRn$`R
zny?NQ9hm2<J*kb?9?Zs4X91>l%F`5vwXtPyz@JNzR2&#Rys=}4HSB%ay4mTPHty>!
zZt3^YKpC$1`tuL1A^z<ZvlLNn4Cu>oiPBcX)4{J)M+U87WI-Z(z)uU?Gk-L?{#M3T
zN_BZ9mkr1yE(C_8uH;VXPu|Rvir917?RUPg4d^G|`<aldiFfNRd5GD|VvozaB!bfh
zG}mb#QcKgokF87bKQ~LFeg2us2Se7tB>fhWLe#NdDKvqrUKFV{Uu+_tT7#J6ZCPTi
z8YZuENVZ$?#Rh?b@bEBecqF)Ec$26qRwXba%dYdIoX6LoJqFfLeYm;&>StyAmV<j7
zJGl_p)jb-&0X#W*M3w8F5{7$H_OIz@!;n=&nQWH<Zq+B1D*jbK?`Y4rTAP<i+0n39
zymSDyPxPC~C30vSzz}$3H%AW5Z~ZHpN5H$@v$rKL%HY5us#ApDG+AmmE&u4d71Z1e
zb03Y8!lFkaXVNn!Nx#_MNH%RNaPIgx%aJ94{meV+?G@wXJzlPv)Pt6=t1GvX-Xn&6
z1}yFR*<<9a&qIN0Wft)4?9`Zp!wP>of3IrS8zcWyxl+)$U=F*E+l0Bdi{Ps`v+HNq
zjFH!V{4IU8)*N~Q^?NWz821%B=(T(tBk74JuqVR|MA(|j7b}GDey}4erEZ)IRCX40
z8Z(8$@{fya3I%Z9Q(D?=d4jxD%)Lu<ohb}0neLYD<3rQR>p#wi{UtTuW?l(j$(PtL
zChHF`UX;$ee9Bm7niLB<+_9eD1U!EAtmfk8L4yx7E&9B(r2c}**(<@T!9~UXe%o&@
z)UB<0T_iL|&YA^z5MPbK>bDQQfsYHXwrNwRRxglBA0BmWT+!nTv7*;$n>cadBDI(;
zdWp1NyGy0EW<|fO&aMV+9B5dyko6#h1;^|3M=zTjfvJ6<Y<ma?vgX|_>3qS8m;QMt
z7gjK#C|8$Fz<~oL^IanUNwVWp>yQSj850!p*I>OF2cG!!x+C};2j1;f1Kt%saeIAG
z*VcmrKUFXGiEweDMMJj7_H~Bv?A*gv<s=SN*_GD0n8l4>#^oE0KN-Mad-{egV;nfp
zCAC=S#*16~>+{M34M4TfsoV4jCr-6G*L+su#{=?iN^=|r@G3Kx79h%n0hz%YVpa)a
z^(NC!=4}QDxv%*&@R1AA?c$eirBzt;B7~Z0$AFYqt9_=PbEDQdsS4FXVcZ|$L57Ud
zf&0ncQRYg%2IJMR2i+n#MRPnRnL&rHyHQ!^fAQk`)^hc3RZ;YeX729UKnKMNT^~^k
zetcpUoSYRchEWc(ZuUHMSn|wgu`dxoszY_)mql^x)Ap*!Pu7QX$*dl@UI^Kvw)jP*
zNMh>o%n@%5eR##0@sGwMj0)qy5B98;MosUh1nn&iV$u{7g;_*U{?zhCTLoFPv0zlS
zMAE=X(NsEBh=N}eWA5jR$)n5KQ_=QLG^l@DIn>D%#Zo>0lkIwnDAiW}rkh5Cluut+
z#*d1jyJY6r`o~Jx;5wjUq(cLZh4a*(P2wm-Ze7e6R7T6|c~SOuG)NSFRZ$F*n5f;d
zK1EX%_c*Io?L18bRyE%S_EsqjJHR(|EKCiTI*h%vyJ*0(BVc03DH(KS{TlwUTOHYH
ztPk$&)Q8~hDvBR$<Zw|@-Y?ck6EXhlwR7Bb;5+ZjHLI?GNgAI|?|enY18k<z-$LlH
z??8!or-%|BHHfSfaL~qlt?JoKHU{+Gs2|{zS4Ktl;xB*db&yl<dBlhN46qpY_v1BG
zK~=d%oe?WN)aHmO-+9OY%D->td+WBs>#8?>HssULxG>l$*TWFHo2?&(olryB$F{1?
zGx`|(I)vf9b)_#e-mZ?xR7YZ4dQ5vF9sNpLZ+S%;0muq9hu3J}FO7BK#{?Ky9(_Mh
zyxtfTGb6)fdo?j|SoHdw9|HqKqjGMmn?Q$*`FfWzD$4kYX64*u;Iz>It7E1qK#WlA
zwoxrS+4b6umdikLqT^(sx;c0d0W^_jZM+jDcRf0kfmgj-?&m$WfZV92bj8a$c&6ct
z2S_uJMXPW4r>zy_lF|8Lin^#VevI4gEFFUq=bZ%V37D>9JZg#7#lwBh=}!aou|K-$
zz~fYa3nf-oOOJH1+P&p^_fb7GWSmavH?aoYPWNNy@9Sb^U}Ei4st&T5bFPxCvxdVj
z*6#kgR~M(2dHWKws3;KL=CzM$1MAK^xaa)P!RMdfPrVsYM;Y<w(~hw=V3@VMHi@Z&
z?tf!;i&0hakHLH9^XE43pnL%LJ8NU}>nV=V03~$KT^hA*vw>aZ<7F2uwD9Hp;H1?R
zS+s}_Z>?&wfi9!yKapHi#98`Xp&SYPwpHsPUy%)z{AZSRrCbB6-uK+Nrb@w6L%Y+-
zP#d`EVxXz%qK>}P$9w8G2w+_08PjURm3M=z22Xxf#YX`~S4a17qJw5rU|)|ly!~mT
zDI1`Ir}|GFnwDNBUH{WrY>cvoUp688-^?oE-2ADbhsUSL10jQ~1#&C>Zf@e-5hX=D
z883c|<KPG>n0B~WzYJiTvY(B5fE=of)n;!m{!0FJ6Z&w@5x}9&;9+-%H1=7{3`?>$
zkcYu3qUZ?$<Eu)`-uX+S4{P0^&DkhofB&DZH$7IszxC2!poTa;()ErIOspa3(b9&}
z0#>le^`U2uuqf^+p8v`mZX(2AFBZMEu!O`v;@4MEMbKh%>9HwnCCYvK8?Oahz?NN(
zyYoARaO1$#?$x!egsX3Mz}JW7AlM<!f2M*TM?7<dZp<|k@{;7mrr&0e+GbKEHp+uv
zCInr2pS&jAACZ;bMrM%WxVMw*5EuHDswCNddO<MXn|wMQWeRI2Smh2_aNrVyc17X-
zT|(yH^OuWlCh%fQ!EqrMHav0a#pe2`T=IL)p|&C|6Y$NN*>o?51$!fU3rw?+oOaEe
z*b%cDxU$Cn{@bzA(*p6PVPX@hd0eu-bI=(20-dOQ1M_6)d{v(I-VfxDmfFjI))|9_
zYmCZd<3CbKR4qd$t&8Nz%2Pj4ZUp5<;#*q;W=Wet&56XoUecwNFT_s82xde@_aDug
zCf^AgReiqNPiE{FJYk%|gesv{<<QV6vNe@Y^DQ|<cCaRJ=<+ea^VwM?yX$|+cr*7O
z<5NG$IDB2kbIuSHn%GaXPE3+VGmmU_HvL7~+Vh?(V>JZZ#+bP~=O)S6&sVpeaU3J5
zV(x_!(FSn0z^dcRx=GSMlYQXg(l~jdYw55ej{(G5UXhfxo+PIV)?6~GpCrxh-Vl6|
z$N<?wJ;tFulcY%N`+{}ZQ)I8if$~8)21I_X^S$+GlC&`_-rb)#Lss_j=fxG$A>sS8
zAb#z?<b!!x(l6^Dsa27=t&pGtC*^j3Uc+DV>3WTw@lEq&AOGXB=t6yXD}2XtDshVB
zd?@~Ni_#K#$I(XWW-kr4uPNi<jhrS&OY4S{U0BfmgG)xCENz90O65;npCRj<<D$Io
zvEn9?QOUPE^x#WIGnaekEP1KI$2&@f9sgM0W{BU@1*5M+myK5VOxmk|=cYmq-0Hbt
zSv8{rcWcVGGrr7|QeWIRc=>Q)Oow3JqKghZVBV?yFK?0j9{>RV{|wi6IMsg?2XK34
zbFaPbwf8lyeUDYiY*8AbQc{tq$O<7ND>H<IjBKIu{iuweQCV3fl(H#g^XuR9Jm-&d
zp7TD>^Xi!pDb&+tLOtmgHS*>1u)$ve+BtjJxm)ur%!VvTM}m=|m|q^AyrNz7n5IJg
zvj5F7dhA1~4!nU>k#gYHRT=0hMuYfHepc!1V@JJdX5yW6a<CJuT{7cEi{7$cy^&tW
ziDIh_@_Qf1!t1MUT^Hx*Q1BUVHBBjQboacXB9ovjSPxK3RYfo$X|k)!TqO@OEh(9a
zsg(gC#xuS@ESb=JnC^>&3w&sqR)*AkP6nC<6|Pz8v!ME-FFx!Bcy!m$sQ#Fs4BU>5
z8}W76hvEhc-da)w(D3Szh32F*Oe=LoY8A61l7w`#(sdy;{kOWi@trg{8+C=~q;Vp<
z-L)OpP7$OoCULK}P8xRIr)$MGxzJdCPp+1-I7*e7968e}4gQd)d&ZXs<$H<0<BpR+
zenAoM?=4G1;x6^~MIk;!S5S+0+DAZdPtb=)7|B5Lz5&7dF&t9vBbTZ^B_a)rd`|y=
zbJ=#h5Iob)j}m*+dwY*cqu1xJHS(U21wQJG2C-p51fOE`vV~=lTvUl*iJ}~MCA*!j
z<rG2rzT6*kH|5Z`5K5+|o;(b<h^Mh%7ejx^my{1qD<J0jEFs<~1-QBqaXoZh9C_A0
z-rOEnLagPn#zO=pV5CopNwkneQetm>J4aNIz(Dw;Z~IgrwP?PY{{;b+(+pe*om55M
z+ngUy<*UMmWu5zsuoR+mf3p$xNew+@8<9|3Q3F~PSN+^XX`~>TV<41ILRPo4iWF|B
zLtJ}1yVpKhl<jeEf#b9~>TZ}1D;L&;tUyP7z92co5iCbm{-utRCH0CbmbJj<GN<yJ
zNqH3g@yqgOJq>ho>Q;}?k~YM;zv8w~S45rqi>1@n8YpmKqu?r&9()hYj7&eHg!EoH
z{hGsRpo8D-B9c@Lz)i1eV&6$+Wb1G9>Qsz63N=a=u{lnG^KqKtrh+PHp-&{`R~ZR;
zYYP$XRsq~;WeTECQ9*IegRIx?siDzaTf9%95#;=-*OP2jL95wvGACJ7QB7b%Gz1xg
znxmc2(Pt`XDU{&xq+Ahg-Fj=)OEQ5&T*cjeDk|vtWV{K_rYt)CT}Iub!35@XAMY!_
ztc<k$eTt<7q>%IUW-XD|6!<(w?>;`RgbrP_BzS5`AX`<lnstgPl<(-d`0Xhmy=ZG5
zg9Smf_T@!x8JNOrZ*AI)8}f)vB74wxnFnnsE%~bpnSwKRD!!^t7CAI6DNGz@MF(a|
zUVZ2{fxwef+sot9h`8DP#qkIg3NV%LJ$u^(a7oz#vYSM7eZsWi*PmG|PNkqfhrt9^
z1ik+<u@TU@;ZsjuzN)4Cuvm|-dSDFU=6Bz}CrY6DOTCR9L9-M-hsg<y-WYn)OUxc5
ziXygm!r?PV*C?(GRjiW%Mvx~maa4<52yxS;;<-Y0DNkc=zSmg?xF$;VS+x+4#8?ML
zl?SMyJzV<w%uRq&!8VuaU|!@+H^P^dMhmYUKi9qeNdX4MU{=mFE>u0bJ2_ZI2Of%|
zhrcfv!kB$@3jZJ*vN`_a4znda9DMnXewWG+dLA0F{rt;>F6i>%@gejO?%Q>MB4Pk)
zDeSG2k#xxT@Gq}AFM5bs68>=AL?2QzFDYDlNQKT>DX4do>B0O{Q#}7oJ;<QnFQ2}$
zfxX#c&-gn^2TMokO^b?k;ohl_`NWuI?4y6fL0TU=5E*rK4WH8iG#OjlRWyqQxiGsF
zanZq1?j=*4rVccDxqhR$Gmh0o-S48Vqy=VM&!E;&ZK!{|Sv=PG3F9c^e6V|t7IvRh
z$_S2-0oA^F<=YX6$=p9BK0%-by>(tvCYcQR*Gp!tMLQ{c4?XKrcWK~g!1=JnG%c`h
zyZo(Gc7%e@3tMAap@A%BIth$g3uL*qPP2x5r+iBr;jm|*g>KC4Q|on2@JKm+igjU%
z(s3u;Pnb*#ALRJ^y2mu2y7|ud%lUaq#kaEcq;Og&&F_pUx7UCPp&Xa}mcJ>I90d~p
zt<%Ed7^9O>uR8p`rzVtrZ<*3?TZiju6dgQ@3jKKHs5%6sOk{dxuTtXF6meWe^pMWr
zJR~$of(!7WHK}5avK;*}f>)3MS`xnGS~!s)a*E*t>CFb^=pZGb2hRw0H#8hK7S!PC
zt)b4v_AN?hAZtpt9uwU6s1H=Urv{3;J@Px_I~4b@tKDqj%y7ofMtT*m2Go^aiYatd
z&`^*cGPA`3Z2^rVSF2PZWu?3=oInjVhhH&TW$c3&Egn%XkE+6ToetuTEe&KG%=r4~
z3Of|sITy?PM+M9)-B@_zXhA|fd#FZ(6K=*osgXRO0=_JJBjexc;6Qwa@Pri?yt2zX
zexyJdF0PsJ_}MT3BtF(~3+9HC>$S5-c$6Wx^!kI{env<eb2_oFj|bB6`6CR`N)Y64
zcR0?M85EjFAE%r0L5jZrjR0;XxD*gK;sUJj-b7t!rymE(MLLzc1&VNe(vQAXo(-=5
z^re!F<Oi)q|4k-qMbNvDlS*sA0dBQgQH#!k5U0(4>O6xYjQ&ir)_=nZW$XnUs?Nf|
zaiu$2qE`W?9Cl9|Epx#d->Hh*4@BW)f{W&hS_LR05eBr4d7$;)T}|q1;;^+=!q8Wx
z0GPG7V?!}7{JEUuVp=2tezBW0EnN!mXW`ZtiW&}nn8^JM-IfIT7S<stCPmnbR}AOr
z!-H`?FTLq`BD9Y=4>Md+gv-Z%<ZCAhz+-8Tiql`EKy5`VWOhLj>}Zlyt-XaHz1))6
zcUcCedEZVp<S7A*xpdeSFA<;~<ez;?BL}MX&1pq3%HXJ)@?|kz41T-b9ty~p2ZE%$
zxImc-EQLxxQ~W6o93EoqkN)lD0#BEqe7Gu@xpn6UaY{m-`;y!7WhHQIJqv^rYM?rk
zJoVd*07HW`RpwDDP(^jXHPn&>*2+I$l!XxC@XO0>zV}su->WXG=%PC458ZmY(<}vC
zzx5fsNosI}ZHj&IsRo=cx)CD6Bm@3Z5$EWd)gS_YF6kh{zuY+rmz$c(0^!(QW=2gC
zTxF|0H~WALJU?tZp5BxL=}~g2mM;l#vgF8RIUN|$d|Mp$P##3aohnc?3C_H$n^X9v
z3;+G<{}vyu09=+YscBqDkQ>fSqR-ZcovgDI@r#OJuGRbWI5i0ftG??W&l!T;*LRN^
zIh26he6nfyv>FJkG%6EV0GPT-32#D`fU2gH#Nqod4^igkq|X2!Wx9x+Z<OF^dxoXv
zYh@UHXmA&cF@p0?LY>2FmEiTTliFE=BE&y=ZC)>L3^qo)_h+vv!A;upUuQrLR%N#i
zpDQ#5vvAJI#BoJ<<&s|^rz#CRl|J}NS`&ygXiaLwD?;-9|6*6z2=M-M0)LjC2|T|&
zpuo+i0E^y<j8=1EuqkbFe8<)V)-2?dmB;1ag-LrZq7ejszX$e*_nW|!iTOJ2zAVt0
zuu>0%@d9REo#`NE0*h^e-SI3kz};z`5-G<4{;!>AGRBNS`Ymtr{ku}&C-i&E)t3Q^
zZymWe_Rtt6Z0Qepj1%A~kE$L?V3%^F<}2z|HiiV%yM<e(k}x_;XG356n<ALv8CLt=
z2ow`izgCxuLx$Z=CQ`;ICGROtO6`~t9BFY<>o5_8PYWmercWkd!mY{AVGLk5asL*N
zl@N5Y2KOqv4Pn*_TN&DJ0CRSd%Jl*KFyqeWV4ppSU6feq%bTabz_FR-iLZR%;nkEw
z8kohN)ca5(m?$7={iL<}8V{V>yXLC=c@g_0rE#!I))3ZLx*un%aKXDLmX=Knzp*dX
z8FGR)2B7Ywzh`@Z9iCOPU72?Ojj{6@Rcia`L(({NM0`98_<1IBP1yd%y3DMlwaWD%
z#QTwjfi5E)Iubje-?fC<%8I5?&+5Vfq9L1$J{=tYEEQ!<vxF(r;SXI>)CFxTgMy<8
z)S#R{8Cb@#fHey8YKVL3z!8pnMWt@Lly&<fZr<aw*yR$QvM){A;Ny8_3TL!QSt$Q`
z#xZ3YBR+HsvEb8&t;=84`BVQ=w518IUl07kYF;1G6}?V|`tnEt(uHLTtHWS(BJCt5
zbk8b;wNnd}gvsizX-kxdv%IEPKTlxVy)+h|l(itAGMzGfVvh2V{(N6Z+ZaYezp<{8
ztO;Ji{m(B*O;NHB#*59q`HI<`5>Qy7)`X0mtLodKKPboKs)|^3hB3t|Hu<?58qhBL
z!+rSTIE8^t^{5lw04C5GXE-;h4hi&XW6kbgDf9fQR}IAau=MMHsJhOmgUgyZQE6z9
zvUI}eE>n0nmMGU)ab<`EZ$sYe?#=g6Omf;vs@*?ep1;mM%{xJYs<5P|q?B$7F7I>b
zkCW|~QrYUu(<5pyGdH)<6Vyc^`TrLy`?dw^5wBam<)j8lOFQy6%GxM$UuSBwGv8r5
z@*$E#Gpg|C;tKvt`g@AJbr!lljxc^spNCg&s{$XXRiRR*iPE;PzCzFN2K)9=y_ttm
z74(0!8rk~2rVuihCUckSuy$iokDs~<SYPsr*q`{4;=IQdFzsH0>Aw>ZC_1YQhQB+r
zYdoqbww(8;LOm<7fWwONVX;cUI%1GOJ6A^8dG5@2w7U#TpfWa}ZdQcz*c5XYR}rOR
z`jdugL@~y}AIecmtq3jx?Q0*To>4NLKgh^06<`m{)on_Q6=2Ia!8w~chr$Hktjho7
zVIRv3cHTzFLp0r*93%5%N~PZ8p}D)cn5m+y*oR&@h(DW+$WloZoAg5YMBi-ets&)g
zF+mQpo2qwj$;MHBoIBfYhh<{LUn$+XcVxkY*!*6kKb$hBD&zA?|1mb|KVo*O`=19%
zYYDFtf+$*vdp82?)3Dj*obU6>GN903z3}3R7bUP>*3Eb)1)C08x9W?N22Ym2>u;`}
zr=<HZ_qB<pVD*Q`H<$iO0hPEeH($}Jp=Le<b#_@Y=IeV#QN~FM9A*rPWO<!1il*t>
z(6eML!Ov>O;Uf`lIN$#6;NpR0zjI;e+(^dWZB}l37!l#?soxFe)wi)H7r%%NJWIjk
ze;NO@en|kAoajWw+yIR6`HKqe{8TLRlkT@+RRWB8w%cDS3C8-i+bh1Wr(s^3?w__w
zB_Y=2UXtzZea!vuL0_lL$JlgHymgwgB(Mq1d7QC-fE_mT;ca-7i7gV+lO9(}{L5FO
z!k3n4?1v6}()sZx*eMIQ&{-V`SXt&elC2bnCBN+u%rMEp9LY(kp6|t>h#jwQ$d!Pd
zz*l+JH|Jtkddy}7kNo?CS<g<%@IAsBxR0@)^v%QK4!*O^Y8Hb_ehTsXAsJ&o{^C;5
z#e7UjCq`~{P88bm?ao%GrDDa3T=jpV3b7TOH#N7QDC{47pEn@;7~9R%jn-Q(!gR_w
z61yx#Af8z)`TlAq=C^d<;_IAJESfg8i2A-T@VGu|;tb8kl9!cw&f1h?^llqs58es^
z?Y^kwQH@+Ib}`A>Xrltlkv`f@p%;Rn_>Y1j+<Dl+CS!iJ-YSgUfIf@HN)VPrY@TXK
z<YUIhwH_W5HQ4J{4$ft10`Tfk(R+!@h1gMppSWqoI&8gdW|=t44=j=WA>Q*v*a-_p
zX2bdh>~zE@Q4=G67`C`*5m;A>rB0WU#~!}H3}`2w&OFA$hvpc+(#z%8sQZIO?o$Z!
z@Zs0q*~CE$uhok%@k%VU$Ip`_{1!W^>3aXnSsZu@Tz&V6sT#|1kv+)7`5x;TI-|7M
z%m<AJaL<V{wb&V-r~cRUTd<P34_(P>e4wEQ?dV<|#{cVu-F!hCb`!79q?^MF+I!ae
znPRW7=nIKghfj83VRuhQW4yc&?sw8On5hwq`+56<i^B&jjjd3cBbo<(+-XH|xd>|#
ztv5S6^a+zu>geTS<N<Y#8KyM%x0pjO>tJkc55`VI8m_p{4IP>}jBOt8v7p1hy6(64
zVFz=Gv%`$s@H2n!mr6+s=9AlNSt>MuRk>MM`NnVowa)sBblLx~<-(}9<ccB8LwuS$
z5XS`$;hD#>=Q}WSrDI;C#4lKeT*=wtTuwOmq9_ET{fG?@R*h%3f5TiaRx|{XI6;3w
ztx#XL8w=H(lI|)W$4LEN`#K^yAj0ONxVBU;Hlgctv8LiX#`?y4kL4vh;Ou^eHXrQA
zG}<_DrxzwM+D}P88m8HxI-vGtOz{A=XB(c^e{Bkr7swMGlVpRSEtfI6<HOj64g)$4
z?O80TVQM$Zc^?o#tRdLyE0*3~di>Y%1+2?R?8ayzD~uf~_@ZnxhW+RFOEZ6J2|LQf
zbBy`#KW9kq7SYK~U^cyHwM&QpV7RS~=f@7QKnI=BPa)kO*cMLqCWUboOJQ>SOvq=3
znol{sdl5e|^U7b3ZM@g8;*5I5ZDwW=<cz7M5t+swy!&=9M{yIA;X6o(xy1z6ZXOvu
zwmXX@1S#XjHFvPP5Ag{NbBu62;Wn?R)*@!|wdmOyD=I`-6A65NjS(*7#k{q=^cx$i
z5I($3qCpsR;XZ9Lz=*RXf4b{3_Oo9yyz?*}Y8v!UVoqiNL0yh{yTVnhurtx}PB{bW
z3OmPLX2bwhj^k2U^6Oaf8O|vuJ7$#qh4FAL6$50<wop#2Z(>TE9Fz)+eMrR6Xlvjz
zJv4s&aL-zB7kkNdSI;qx1FiTgOgFaCLq&*%pja0b`eSa;k(I}Vh%0R_#$V`xaV65v
zyNL$5YqcNWuH->)at@Z2@-qNW)2SQyrGHM(@ZS#K;X}dJ>Ad)G1}H&p3L%b+DDBW0
z%X5+Z=z*K7+kYfRIOU*mr5(qDetd3Dop%&ME8NREZ{?W4Yx|W&tOy&rcIY=WhKiz@
zl91f}{>-qE+H_{yfD@fgUzIJ`6Gv4>OYdWiSwWgl{fLzaH)5!;IXyHZiRv#OpN&pr
zgS}Fn)6#0Z=rGQlA(lZ3S<H2R8a}`Y=i9u3R{U{@z6NiXc1#BKUFz_0SLTMGmv@?0
z7zNN;fZgnaemT@R>8H4x$O|holH&6{Ldc~~Nrxvw5ore%-0w-iL)OppVgHSbqN(F9
zpLH&)pwOBdI-KT0z~3>p#3Cet9PhCE%8}KOcrfj-&7c^3RI|-0_$7%RCEcl>ZXqGd
zxm4Xlm6DL2*2hHGPecJ>0=!fX8mOs;%qPt(4K4xET^`@0(agN0)6wsm=*Qm7tzc?-
z5Z6BSw~|T@EoFvv#~&u6M+`hpriIE-QXr+_uA+cMxAc2BW3^G1T}yM^KWBW2-EA&D
ztAsEO#b36;I!Ju&RG$@tCS>=Ezl!l!LHAyYWZdM?MHzO<6{Ggr5V~j~iC(E99s3re
zQ9)hQaiDMyCiLLHunh9ubTxD=3eUn6ql2oHmJf@BQ-C^of3lY~2|bIs^peS58!d0D
zCpg3!!Lz%8E#Vy`#I)L|yM0Rw&6`TSd|+S#G`m-~Eg032wSYKjaZ??w%5&&8)S5zT
z)T;39O%lq=6Tx#+tD%!Uz4pOB&A@YV?$Krr3DFdLRS{hk&^6h$wc^J8;H=wjm$0XX
za;##X3C9wVM+NtNC!GUeR%pwaC7^~}7;dWOz7RqlD#X>olLuh<&*((jiV6};j0^5M
z$&R>bZoCqbKLA=m^gnY?E1}5WJ{Mgqm$2QY(e$$o`{7}^`EFmBJd(a%FnY*!l_J%;
zhEo*Y55+B0KkyG_P}G>l;S5d|2-y}|s6A%}HBoZ%6_G?#!m5^|%fbV~1-)n_*%b8I
zA}6WiCD7@9DWB|UJa9C8n9^@I0es+R5n5*vRN`S)@wH75Uj3!(6aVM0WCP-S@*Ey*
zjgCG~+Y$z@xF5|Q_8Ws(l<+fLH#d5ey?fC8tSCfp=8wpv8o|_+KDH~W`_SgNPW2Vy
zKbINAKeSi}ppia%u{4qv!Qijs*>}WXWxhp9;S#{+T`Rnk;~HjX?C?!AKn$L|(5u>O
zrGQH2Lpbj=frYS+vE|x|fq4{u*kr^I_8q$ZXws#Vvc-lsN~aftR_VQ&2zo=P>-Kb<
zo0_Lc3P|mmm5Ra@=3FkasR1OIgby(jHz)!AR#f#zMZqU6U1su;K3HqMeq}8}4O}hw
z1Vk+gxDBc>_f<Vm6_*^3R-lInX3hTWHzLp(6`MwNK@T*0#H|`SnBe$}*q<d)BA`@a
z-^BUP*X2%yVO;z6fvLU!!^Z0(Ffr(U(CMNs_;)`D9ot}sYf<5g3718HT9UA{vZ@33
z@@H{%pE%*;3Caa7UlGvSq*`Z;(*cDp)wOK~ZZP|_&3f;t2yET<3}jT-f$wE?F}*|{
zFv+}BU;aY`IK%nFB1g4B;qTh54rN{#KAEDyYaj|5wMtuu611Ud!~4jJEFX*}ZHo*Q
zi$Vpj^tzb!zZ~%uQ~ki<09*X6yQ(4vqcJ_N*SWMIv%=W<%@z(asOlf8w26UaH^-U5
zuViSUdnrU7#zS-*xi~>b91O=*x4SFI@VuvwHn*A|#y8%5f0iN+JP!08^bg7K>*IsH
zg=hg7d8zsA_KrC0tu{(!c#<JFA%{?XK@j8|OkMe}NWiG!8nMNZ47flqMl}N=c;-B_
z9P~v3*bm@2Umhnz^(%XmBY0t8aEe`zJt_%NB}(*9kCDM;x`$A`EDYW@VTFtzB;mN#
z(EeAa$$)RzEXeB-foX%3+fj!IAbl$`UH+d3*USzr5UWKYTe<FXRx1IV5>0Hm9*`mR
zoFdGm{JS&$4c%N5BIx*pF9ns7q1!IPugp*!zT1ZN4!kCUYeiJb?GZ9qnKJ&@T_Fx@
z46jX`)TH3fHxkzfw>I?cXW(fgN<e8{V5`{^Dd5yB8n}5>8(L4sUK~l5fF%n#_B(X{
zJWysWJ(ZyiyQ8<`)fpv$j_%LCZ)c?;X8xn|%LQ#1FIsOJ@{)uXHz{|WN~B>oeO5{9
zpbmJQ+hBP;Dhbnd(hJKo(olXg)hDV@2U7ceaFr$m=&Or3{G49~-iJMAE@Rh)_2@k2
zkX!<&5xn)A)ny>by5Oy=k1i}-*)EvdAi!2+<B5;DG9Y^Tqxgwmx^Q_^IIs915ky9p
zyYm%g;Q9Gr+@hTx7@9Z!35_8_lzd?LBPJOT*B$i;Y0-nIKWu|Gtwea>)|~F}K^kPI
zonIW)&<CP_wguHH5jv-`7bpSJ5Ps5jCoxMOI8Wq|EBK@!SOVGN1f=1}bGom0X$|07
z{{Z6)St($>#B)S9TMC5pKNlWzG60pQEo;6?QgEY)dw=x5KC>-Rg@{@MD5tGX9wA5p
z<Z`$>-z9?f#Wa%_)P|649KbffDg{4&53PCi5rFO2*NRjlL$Hm?>8+n6f^Ngi+<O86
zN|zcmPJ0`|ibqc|ZzT~(qWG_YS0$l@JmO-PVF)VaPnPO#5TSJXFZV=+1Z3Y&Wmc^<
z1WLM_Yo!zsT3+pQ6Ic@moMU?9$Xi2@jPzomd?dinvpV_m6mdA$W9uLPuO6WyPH1)~
zzzC;$c#VJ<*y6w0w$>N|IoLkFjfnu20hRN*%_3kFnu(LmGz7kTCz8KCmV^(57awu|
z^NHwS4)X&aLon$q8!wQT1P-H=#oW_E5YVhJIci}D{Y0B%uWKd1*;`XK(pnH$?0Jr;
z^BF?cipuw5BMFeI^G$npS^%s<iK>r38-U{P0~5bH#eo;IPY{pbhoCtXN#%G0Fo-rC
zUpy%eF>6Hgh;BUOcc-Q9nHhk{<3Y=wUNNZ2r)*AW<00dwyt}|(eJI+xb!%@+6wI2)
zXWHK2fVFFn`%bPtT-w^}zo;w<VHa4YeH?MHIi$<ZWT_7;pKtAJyea}b-qCd%!Z?V!
zb*U|HSr3}un7R4Y3ByXQhK|@OAN2dzn((LVft%;j!9H$b7~O6Zd;XIT=$W0fgg_7O
zJ@83-?I#4Gms*@Hm-ryJM2~Rdr!G9aP_}>duOReL*{dN=9PFmHHC&F-g*#@U6t-YN
z5LI|Y)4CrA>OyqMBbvIf#TMawSyT`*$_}n-#N)u`&4*?6F&+4(tr26^DF9|y3g0g;
z;6N_edwMon2aZ4gyZ?QZ05D!BWYRg}Vevgd<d(h;w7uuun*O(6ttw-opfNmD@)^5O
z7PaA=hQ^b8iU8<|=+{5;<cDVJa*Oh3+K_w4sbWxF0B*`KPKEFafZ#8G2jz3x@L%PB
zfwnpVuw7HanAI!*l05E*MZ~nh@wrT8kBtBv*z<HXxGxA3Rwklj6J)T9v*Z%IEdXP0
zC;{k*5L{kscs^82hW@b|(St7pU|0ODWr&h6sD976e$AH*zQL{mFaHX_!#MT*gS;Xj
zAHX@VXHABH;#4jBe|JMN(s)S4Bnq#E^G^PiBf|n8rNgR55O(ZG+6fF|aBhE(^-ESV
zOsuQuODPC}U*|$Qfl(ZkI6r$mU(tev*HVio%7nl(@SgqCSaCSjrG;0Y)Pf_NG4V%?
zgh6;9hwX=u1pE&G0RR6Kmv=ms{U63FrGzrhG|xUpJQ`<M=Uj#IXc#S-p|qETgol)r
z(x9jim68?8jHs-nl2w#4B9su3B){|f_w&bn->>iYbHA_mm6Q4OWkDMsO%59mc($wI
z=2AbNY8oB>?`<ltf8>K2Xtn-zggV5Yq#{QX1_U#u&k1_@NWL&6o4P^+Q!7%uF1=zv
zR2X6T={FzR@+0{}Qks~l@sb$2l?ktWsz)nHfMkmaX`fe`xF-@aDu<YGOQ}lOY9fID
zCg1f3ZD{cJ7*MVbWZ~)Y>g$*H2oPj1cd?<E2D=|tt7_)3aop3eGxW9qNlagHm@XYh
z?(ZGy4r7B|rGK9MMF2BZ{&eJZI+_(SBNV6E2;T0|L|H0CTvzBnEwT(~1a6>d@8#g(
z#hcNba3NN0FFM6L#=tF=&dU=oIIy#EbII-&VkGTon`18n+D)^0)@oebmHuiyZe@rv
zCU4buTPEsjj`QX^auKC%Eu5Keh`rhK$^!G4ke@Ly!VKeLv;LK^BrPN4$7O82KwzP@
zbCTS3or~wI1%5{ojIdX|U;Ex}7VP_%CNy5-qMU6p&`UCgPw08EZ9WUh3jLnLAza7^
zUD&1<j1lJZ$d)m|f|wAIdEbVMSphVkOY=++6Xo{$jXoQv)<!>6p36ltY-&dXO|Uni
z)5&Br8>v#AT}8<p=r`U8+5O!Fca}^J9z4VbQFYtGc0CTZ7A4lqwl~FZ&%v&u05%S-
z45-<h#6}@4{n=1~DP*F^TT=bl;HFYfoS4PNTg(2bQwv3?KhtEUvYm~{gNrLyY+#}4
z=4m%q2N9$SoU)d#VB@#Ur-D~knb`cY*KU2R2%OamhW072arvLOnYWu62ol<eFI0=r
zz2{+kL>&v6#QbrW1q__GEtnhAF9PG!=A`IQ7F4Ilc1M}hp}(e%X8KnILc~DSOC1&>
zhquT-2%w><?Ojrelo%h*9Z<-qVj}FqnbP-%HF4#`g?h_L5k7PTB)oQHA}=8KiSVyF
zwuk1;tL+xS_}uVdzvO=B2LG^ejaLJCndx)oauH5^q;sDfWPm)JR%EkL6>~MUxLPqH
z&~1vV2|wu&nh>0|v{i61ILJbGs|Z=XaUbJ->6jaTRED8SMZ~v;!nHIJFcqIZ<2Ma6
zdKM?$TSURN#bsN{-<hH$Zq1U)KpOUEf7*Y@g$xgiOI4+3Op*W3f(x5w)3DOAulQ^h
z2@UkM?b`*W(DeCnu3udff(B`~vkVdv34E!SpG@%nle<TdsRpLgtZlA8AY$!VbGeBV
zCOGUiTYAGTb$oC-T71==2y^A%l`UKo?C*@G%)g}uZ%R}uPoIcAYkV(TJvYXqv)7cy
zzN$joR_ri?NW|>3L}}&S#yJ1C%|+Wn74Jmey1|n9;;rhW-ucG3dsgbC?|l_m5j1{^
z{{NizMZNpdjWAerb}&F!1;;pELygWvq|4rVY-nu+wzA$}av>Gzj)cIWn?$gV1ri!Z
z4AI@ymd<maV&f}1!SN3fo_V1KMb`|GWvXAhMxKhWp{~lwog_H)Ry4bt8{(MOg2=&o
z3Oe`gy#4kI2|vCnbr}r{A&3^+%BE4!vq8^6!H<lv#qv(+NkS;rAFw}mS#s`fkG6DB
zD2Q*G<F39*2<P&mO1VoEDAwvdx&E92XQ=^=9}9#inXO(El1RamD>sBmr>PjRPn|kf
zD}YOv(@<0y1-B0`|LSb7f~hjI`y0*+&{2Hs&d*^AhRpee%Xz8@usk=Jx>*3pPIcQY
zqr%nib$)@S8s?pNzh#^)0AIXtf$b?O4i7XaFv;q;kr%S&ri7E_3!<mb^;7Y}?3{J2
ziU!`ceeoqV^AS63wk^R~1$q^)bUU>*k*fZ2PgwyUt1tYukZo6i*L%KqE}aIZdaCk*
zTYU6n?ig5iNENc(ayjY`XmBdCF5P#T58I4z>Kg?$I4pj4!pD*h_g&KYYcB9%wbboK
zXNekSHmn`&Yp3IM^{6E=nvcQ6cVPv->d?0yJK-<kVq*Bk<%^Q|Fmxt7^_1+Js&XZ5
zn#6?V<F>Mad_I&@yOUexHBlK^?x2~&g!Gjg?)TpD@#Jd##-=Zth)f9~*sf+_7RNm=
zUP^#ZqtlB=w$WfeXI9wTb`~z(ZIT}m3Sd_&^k3RS!^^s1lpkcnq4{=huAcxp;oCZj
ztm%-JF}wTw7aJ-&DUV-26+pX^Z{lAi$)|ZaHhf<W+zRiWn?)8PoZ{<gCT5`G^_E&f
z9|ydBKO)<`g&@KA*YjKkT5a0om}|J;*))1oy%z#A32w>SOnlv1b^Uuh7vh53>hC3-
zC;CptZIJMbywZ8M$_Fk^dMC<CJu$>>wnv_s6bpA6Q;U6OYauf%CBN6i2<`q2jE3zj
zB<1Rxs}i-)c+2DFM6nSDiWSDUma@=yJx}?#oE8|?!Th~qW3*N8EnmNY4Qi?5gQPw#
z_G->CwR~y}gI25O99uRh$G+OlPUm9j)}mG~GZRSrYmE9xa?afK(`3tfF4q5gU0YIS
z0&klPMTHDD7JgjvM5>d6gIQykkZ>bIE5Lo?85{FFbyt(@Ik+2mZ{6Ixrf~N8uOhgH
zjdh1!mDm-q(dSqEW>8jy3~qFqSs5Gccav)`OLF!?gOg}vn}nZZEp%Qo8(T!_#inK~
zoaC!ZU(XWZ^H{-w#G`B^tk#>FcZ7+ERFO^PfP|CcaVaekTe6p@N(U1pd>xLX=BSE6
z_UU_2Hp0T*CBODhmecVhr&0XJP>i3vKQZ^Nvp^b^meu@9Lkan?Z<3`LQkCBn+ypE{
zIjQR_6KSa7n%*8;CB{k9?Ch9oCafw?Ngq6`0k<m$_a+F%_*;Cehc3zGMn8*fQ?t~O
zL_9|eki2&h@429_o&l9bCEs!{sbXf)1>NLf5yaZTzuT-OoDUkjc2ul_;XD8E?21L8
z<(F#qKc{1hm&tF292M{M0><kCL|{+c%IID}$NJdBBbR@ZaVKy_r0+5j{wDMopOg5>
z;moR$Mp-f<d#;pS{Vd^m@Wv#6Aq|S%6?d4D?dx4*bS5~`6r+u=)5HfgAyd%BWX2HD
zvY@NeW2q@>*XX}JbyNfWd+wNyEhOUWzVN%AjV9O;T<}WjygDqCixS-K5kQ^u#W~u`
z1U_ChJ1*s@Au=l=yU&e)$i$YA_63rBpUf?N+^ve3F#Dcw0s;<5#mwQR8e`72dD#`(
zs&L`Qw-#y>u&7%(N6*3-R$j_!asR1cv&C-nBpv}IAyeZ{yAiGxk9bUcq2jI9vZqoG
z1jM~jo&G1#2(dbYgIhePD7CX|cf3qM<>=#^j;cnu-LkMv?gs@r2hxkpdk9d^+qpme
zks+4Zl+7`Wra((P_$Y8S5jSscvAXVJh_067pFaOf!RY4Fr(d5Dp{)3*H+Hrm$m3F~
zQ%V$6jVn0Et|K9);OWPOnL>D#IQTgXlJWM(4}<&tBrKfLj_`C8Vs?pPN##c}NXO>L
z`p1w_{%u9|40$1J_lTd(=pbYD8>45A8zj7^UEa0)nE;<(KE77^lZ^YLSG8+slKVa5
zbTT4H0Qu~wrw`RA@QU$NU-gHIz3iu_&BOwPdW!tcZKU9VWq-GQj|zT&@KmdtBfwR;
zN!G{>3Op9Xybt-Pia8l`pIob#aPQaRfisg7Ocs~z7JOF2q32JQE8O9udGCiEqdTZj
zw@~waH>QpQ1K;ZsgZT*IW`tIKrs5%OhW0I@CPvAPEv4>!T-0$&ym&|jw;q&Hn>1;#
zJbl@#YYiVo+p4<W$gARm?vv)vg*2=qtZ)q#^Kt4KrD?Q4GM8G=xYnMI6uI+JWMhe+
z4-3~=d#Pcv{;(VWHyw6!w`-EXN3Yw!bBdul{CLjiVkQ6S{JCVWp>=!&1o&*+E~kMF
ziP7^+&6(&8z1p#Gr-c8b33D~SYGAWxb9G)H6J=JvJl{m{QL8C`bh<$kHB0|}<9d#T
zi^pBVgNyi(S)`m%?k>qEihJB<Jqe#Q<-Bc2`7klgUpey=4QHPEJq)d4ql-S<)xl7J
zxX_^3d}lgV5#|u0wr~*jqG#RN(*jh|x5`$vNqqjq_b;<MI3TO9KA-kkfClEH_^-|k
zSg%dSQi+G#*~=JMS_zTcBi!@&0|QI+eyO=va6w(Me_no}5MTZ{zsk3l`1!{3)Aedv
zm|1(^o$L}rq;Z1Wm)0?nWw`(A2Nx~ubNVA7<`}|0GF;tfISU>DLqNR0pJn;;PHW-a
z!`BNPg+_=x(s3g%m4&H4N7VGLYT;?&TN~OlBN)ebJmk)o_;#a1aMU?16!?^e?6fh4
zi{<?{vt8Kuu-x^5;&v@;IB9=;=0{^Fw!dGLc$*D3-8b*Jnp)7DI(O;fE)zT}wrM={
zfsJZ>5)q3f-`}>~?B0+GqJGJZb7phUHu-s3w~3?|tbP^t?w~2Y`8jxJsc@kAoauV#
z76-+D3z93on1V?U$+p(y;B;u$Ci@?f+>mFSGhZ)4Cu{O?q9O-H#+gTY7qM|SMCHNW
zY!QxsB2FX@vk?+x-ZH(31)JqsEon2vpw%j$%`Ro*k}sjI%Uj~tj3B*6u^5xuzEPJY
zeWBHOszND(fd&18MXdc|JP4}m-lNTi<F0aBLING%hM%RZju7JjbK&^yDi+G7MU>S!
zG<*rm*ySE0#>R-3r+(VAV3oBoFD6D4#5C8lpD&5AJ8Rd%RiBt>^9qjf`=Ab&l3nX>
z28of~5cc(s6BGA3=l<tosD_xF-2bv1#ZdqCa4WBYfsvV050f9LV8z^%wVQOsSii|?
zE75|1lpA(2z3ZqL<y{K-`(1=ZS|2_*Kcr(>Z*%XsJOz2l6f;JO2zlLEkY~~{@xAu8
z-w%m3eB3!EwijXK#|_u%OEk3C9675xMZ|@ucB7XwL`cufmF}5C!+%SIZa>u{;zLIA
z9sOIT@U9vWhX2;U6~pzsd!Ym{e1jim!xa6yyv5C<>e%)9f?vdxGAzBLX{TFFU=X&=
z>*pUeWZx=%_2Q~BT+CWFyf`G8lapo332Kmj;wTfnNf}*MpN@LXHGy2&LGN-?Rlql6
zWO%VM3X^6$agH;_z!?7o>!^w(7YwStYb&ET;8NK7#m3lXRVG_mMMWC<=CvdfWi+-L
zPe@f6;ftAwWT`{NK)Zv6=}u(~ocU+AoQn~3kHcLdi30iMyXe$3Wz^K{vHCS;i0r;C
z85<;h#@}`R{sJiiq<6G0w7g^pLU8^GW-S?y@bCE-2MJK>%bqx3V2F;?k8XQ|$v84A
zTxRhw0lK;Vu^-+@d~6{8oAkeAIM1mL9tkBPV17{EsE-iKiXQ)4$R^|Zo6cn`wMbZc
z;`mNgnh+Lg>voxv$T(X2lN;Pd!tXy#o!Ku1cz*D%wS@{9CfPavkZzF?m$-yT4HjU^
zp6n2`n2hD~m(imADA=-Wslo$+07)A0p;3-xEQqK4bJ>}SFEvv9&k`;jteBalA4|r6
zw1C7%wkjC4GvyN`zD@AZnLW`%2GLktad(3%{w)cw&kT`pxJ%#e+A0ci^(<C@->xR{
zjZRON9Us)Uvv1@VQs5KLYm+~zjwi49di~mbJhZQ_95RvgnnTVC+p;xquCc_xUxtsd
z(6#1mbyNh7%O%tMHK8Tw@30%@VgE%{`n)45SRms=(2SuWT6eo}tb>PY^?brtEmaJ1
z|DNNC=wQj(tnGczLn14?tyj|H%=|)khW63nd-BA_j88mNTz~m_rNr~ev+A<u#xfw>
ztkzjMz(Z`EsTn6u9p;bss6<#Y;k)?b+AL{4KK}E{Cg79?n(XV`uT3y<zIEa9RvpQF
zkM;NYL7I|&e7ij49t*3EL>ebM@WC4{-nB?f!wvGt9IH)ixNjZSbiBgH-|iNTjn8QC
zUU#`7e~Jy0iq;zLM?PNPtTqa?qC?J0r)+IJ2NXlScM3}cNL%{T=~x3D8x2xk*)8GX
zdhdtEZx;m!;xD^C<-~x<P}<=`As5H~yb(D}39#keK9|$o47_|+-qB{Dh3Ji4t$Bxq
z*!p_*jKDoid~)v@H;vYUflbXq%BT=uk9&qH4=`agw<~|BT??Cri%AxNh6sMAQn-63
z3wyfui^v3RWXsTcAIKXaL}umRi1#eauxXgj)YV2vVPNg)TSmwmtG?xHF3B_Q(-V_S
zZE#jLx+a<!qtN?K!;&P4Zy)(CU`}bl)8^*Y^UcOMed_nww}Wit{Iq)6lB<P@Boq0P
z{U(?@lPh;ep972KbAtuzw7`0NnR0NJgb%Bq=aQT_u+HXw5>;_w5SPyFmw03M6XjiB
zeK>eDzgWMM!NvR~t8axUiePf>-7Iks2V0e2X8!izK*o%iT5?K+YfZ&%7Y}jJcQMU*
zaU>fSnJ;!992CLLJ#Bft4F_S5mac70X5rPWokK5IieX@UdeT*mgJDySdc}Pv5~v#9
zfoH`~-FGy9eiIu9(g^O-*$ix#xlnhjRE&AKBV1Vt|J9Z|20YHBqatC&uAWa~$Yg#!
zJg&rs)~1QD&I}qVf5hDO91vsB>ul8niRWAXC}EI2CB2Z{(U{jO#<{i#?X46Ra-)i>
z6Hch3-eqiNO}!XJ;b-2PM=(*F{x<2~$EwKM?&I8^E=FTQ{n^K34BRl-?V3VS!T9lw
zE4=)~cqTu1N>}0oVuIULPYeZxTNWHs6^N1cytlTsjE;<Y1DzHT8Rm5pg7AJ3>MXZc
zOi4IT%#4X5EhJ&0@8!d7(IUi#c#Ow|)1X{dyoMn|gh!^onhjqBhwaZYH9Itc54P80
z7ZEUJWYkpu#uP}qxni(L1AR+kCtduMap_dKy!}p7+&;Xc_h^zjroVL&8v2zm?_>BP
zok<gz9xqGKj8Vgr^W3>(Axa1_|L5kR2ou=JhR<q<SH+%tyKY=ER>G3?t(SQ!CRq8~
zmP^Z5LFw{65za&<EHwz~aZWJ?LuukHPvVXH_U>?8D6fRFf^^wDzA=1;@9p}|rsB;@
z(P=-L5@Ih$dk<9@LA`u&Tw4GIYyBTfUs$Vz1BLa})J;a{&^0Tx?<3>JY4fRoOG>c#
z?I*jx&k!x9Kgy5qA>;8Zo?qO65^TInn+t*rarO8ci%n8w)E~{w3UyY7opwmZB*_r(
z%rks5vq&(?UVd}BT^X|0&&_Y-2+^*$$<O*Q3F0SRN0odDSlk=CL)uP=rWCy`16Cv`
zN)6Z#Y7n94K*NQf0&ISFNN$OMgvJZ8HKT8dD13a_=~}!1E6z*nKb6eS{P$?-og@-M
zHazt{ZY6-Mf_?_pNP0q0{Jz`A$oSb>`s?l=KFF`$y4re^AbqUuUh;MdW}dvbbKgTg
zp7K0SU%OAjmEk2BdtIscyXW9BLoYrU69-%>rbzhmpQd~1P8Hm%4OI5y^TGK?E;7(X
zk|WA{A324n!nB7pd2J>io0mUqKJbPNCzlWJhEvoK)$F!SrI826j+nGnn<$X{g02fb
zsbl<iyXKKh9$ZPC-_pKOu>IcYUu32x;-04X8(idJY3-|rM$uH%9;yk@FrwjSl3&)_
z03K{--7!9~Mg=m2-Rci|X{h(O+4B1k4+?g5&9jNBn0lwcijJdW;Q3vlo@D;)_#;(~
z0afVzXd<?5koa$nuzJ=p9(K-b;4f@c11I7vZJPoUD|C1D%3a{W?Uc-=Z`JBxnjCvq
z_mYX9B|GLfXYpYFvghZO8V&f4+7|dmurL(bVEUnrhw^NVZ8>i>LG_<A;<1X25|fn?
zXUKfS{>~3s=SxHH42qTQG#hbpe9~eUK0F7rEgwkJVSIG|qqHmzhMt&^{$%s9rCY`K
zbF75(*PDJ^vgg9zjN06%B*6X0$;KBKG4L@e??~qe7yBPX%9lxUe8Rsr*szQN`N||O
z@qb#FpAk%*IVnJyaE_k79TTBR^M@CWYr+4#Q*}qM5WzkMaZ&9|ET46-ies;h8^`l*
zLeUWC#9zxicS-znV$ASaf;N1<bDrEtHH7P|+Lb5!S(q31?NDo#Hn<HPn;5H&FjQ^Y
zTj0h<caEEOPMtPva><J4hm3ICsq#lfEgRWA-)8FOYoqT{xv_n$G3MJmOApZIfY4T@
z^X;fMf-)Y9QpF|+UCy4WJ;Fh$Nu}FqiZ(oR82-UsCO8ti(Cz(wj-*#Bac@LvAuJ%L
zr8L+S&fz*k#AXgAzu&a!_{PPwOke&+f(V<l|4gp>!hz>N4u#6)B4bm*FZ=5vM4bFy
zp4!R5ttxG?;z|xuE8L&zD2ws*n0(7{6$b{3_T(O1$A)zNb?NA%VgyfY9=DC*;KjTE
z%P<QTlr`=ew$+Le@G`9|#Fm3)Mo&Xz7BlgJQKm3B2cX<qJ@4T-8&>BREo~+-u%C1n
zvn1LX=ktwoHi9j=*NDWFKQwU3l-v|Hpw_M{lwZh(oQqpk>1$1_uW$X!;Q(GumKRT+
zVBzT78vd0cb@W>g-IVAqW;9p*@%_%kDpFD1yr-(z+x_U?yZOKd&)N+qteF@uGWePM
zjS7>hZ*x^T#9$^T{jy1AU=`o}VvLxAbrDf@QVC+1_n&w0naMzT$ju!K9+PlQYmRWk
zIx%)Fyb-x?GaaFWVM8-_6VV-6pE^7u!VtaD^LQo=<D<{Z7nl=3UmIrl;DQJ}`l+_h
z=h3jR!t+$gYGnx@XxBDyB<H_f>-pk34K(kb94!7%35yrhnC{Or1?R<zFnNhbc_oD>
zsC-n!?mRoGLn};?U46Utm9HA!q`x}vyG;>$^5%cO{X)Y38O*nd+f~6hQ>4#VP=wd@
zkv{G9Cg{AiE=ssV1z&fhOeKC)fX;@_^4~4S@GJ4p`V>e-oMZDfnU@N9q7$%lXsa>u
zD6!tbsT3@gS$w$todSNu7z!(UjbM?To0c;`hJKh=eZ{l_Hrpk5Xm}aH&RX|Q^(r#@
z6xJDB7AwMCj%W}zWr$j0|LgY!Bs6{4le*`MBBr*ko8up0h});4gWrJ!t07u+>MSL+
zeXM5gQZocS-{WccCnCP49331xu7sLHg2{p`A?8K)^~6ULk$tlJB%h>=@<el5wWSah
z8xJ%VxDxUB#3p{kBV|;P+`kM-`aAoo`<z1{;`V=>?`ymWI4_%;5phz0Z?$Jl9r#3u
zNoQ`&G9tohTB>zOM}YZXoTuk4C&Ff4%UK5{5)xl+Nc3;wqyCocYvNWSQqTO&r%#gb
zLVG+i>?9xel<n*^qll=Ruc>G}N=D9r>o*@`J|Zm}9A2~#q3zh)e0hojr_4`Z9*pzw
zCv&)`aw!RKQswqD$tsA6m5xs@;=x5{Hlreu1g(ASfLf^Hf&S+1w<mZQ40PTVNFyVu
zuVc}6e>JSWnlt!t6Av90uusX6%v*MbCO%U~;$hK+7Y01kjSsd=N^)T=_<Q^;HBDTe
zafF|)%)|1VDq@bjB!|XY2X-!}Ax$;w(BSkk_+Rx{U)@N>Gs}C2LnmqQ$sg}oHnt2?
z`%WF&pP>Sel&bdlM|Ax44ZKVrUxt?(G_QtVQAOks=DrM;@PF&k70yyT>=T+_bUUwx
z$j_w_pZ{gT`^lS*NL3!j4=WlFW7M&>cQ186kp+^2PTgkk&>XKed@@}Fv@IzslR8-N
z2%nd?){6(-lhW#TuQV|`EV{udosDz<x{v<I=Aq`H)uC;HG(7Y_KxG`}Kz@Q6kul9f
zl;!x3K{6c#>h(<JrCd~fITKp!$j2|zrHSZVIuu^4+WD)Oi^Vm+<QG-)VSnmP(-%o@
zg{8b5GrOpTC4Z^e)gl2DcGX?67-gVFsnC|Ar41u{6^>Gc06xm+`Wh}WF?zcE=goWC
z=xFIF(YF^uxFYy!s4ffK%!Z3uiaKbEOghj$CPdcje2_|6xUE!6c5~9f!L0}S0&W<B
zE!7amwPNEjlWMLQrh_A8MH>CqMo@D#dTmt0MrFU*mG}r9G~F71o;b%CoEh%nFHAVt
zVh|p7b+-=QayF^wl^Da;>g^Nv8ypb5si`OEIv{nEwhefj;EVaBICGE#(jBDzy048t
z+b+ew;hN%ew8NdNx?J@8kPB)^+F&}kEpDzi#c#z6;X7=(SQ9qqgsQz3Hv0sA4Db@c
zdF;fEYF94ICjHFpe7PvMv(yZd5~CzVPdK=d3&!nd$}^90u-<dV)uH2J{1N$5;w9%^
zsFwHqfjb-3dYi}he3$UBDa&7Hf&+J{xF_jGEF@+A8CGNf{{sL3|Nj)3c{r5s7shQR
zyBRa~eK0e2W5&+hC|io8Qk2S05p6=0t@5=*Mbe^0rDTnStVO8ER!T`pw1`4Q@|)kk
z&-K3Ndfs!LbARspdVP7tHzwWCKzG=slr#Jk2rBPg6JrgOZ9Vah1`QN=S=MNFtKi2n
z?s3ZvKvTlkDUnC&sQql7{rQ|Sd;@(J_iY8(pU$M7F;Pd>FHut7Yel42v{t5W0ai9?
z`Gj3iLu_PWnA~}JB;Av3*IxttX?|}MJ4Znh|Gq@-BeJmie&W8B5m0mNmrk7>1>7HO
zv;@+n!Cb3qP$dbdUL^J?XR5;A<w@s4ha|2l2tQpv%!Z1t3nk^H3Y@R&N_3i%ao^*i
zg>NDo5=G>)LM0VEy;L{d^jZStI~Eq371<Ckf5w~(R7QP9_(V%75!IWL$cIX;Ak^|H
z&UUvF1kC@Mp1McC=eg_00?e)Odw^>%jjRY^#?C^iNpVhpQlrph30d0`_ueP+@cL7u
zcX^#S2IeHg6KyR)Tk;F~lr4vYYCG%g>cz13W9a?(77LgyyDt#EUlx{!cI9+wh@s1K
zx2Bhk1%mT!WhlWixVhJ*YWILBs=m4G;BPX=m8J4tt^?Ab)VoGcwu&M+?^W*xm?QGy
z!J+P4DJ<;^t32^T6x5@Jj6aQLc$At{GT$$W=m7mZE_X4+Y&~)RxUCslhi<oA(v*Zi
z#7no*F)^G>$Tv-XY>GCI*f)haWbnH9nyy(d4&J*8w|2Uk!tk4m*-LpcoR>GgU_2HF
z`E4fRUz=cCz&fwa`y_bahij250UOfyEJv^j?lAUxiiMK!Dd(%g%`XJpe4+Pi>aQ`(
z@0~AKGbJI?f}FkiED@R`A1lUA8N)03bNVq^5*DHoGYvLMpt}C~>u^0|e3I=dsU(nK
zvEI#fK#hd+6cd@zE+c%sBl?x0NJ2B=#E>i>8Hb#br!w~&;RRuLcq*HOgy|OUxu0YN
zW!rA;Q#L|)zEj_p{UnU2yAMasNMd5Y%PPSh7RvCG+qQv(vD|$AN6VxUT^G`pdx8bI
z+vnBhIN$5Hi=V(llfl|wM*h?GEcm5HB<QD;VPJ75+|5%K$x?@fPl&K^_4P8}dqhd>
z{T30~c1aG|8)QDbf5k-XiGXh#Zb_o}t}?@YRvvPUgJ1qDWum0<<cdLeDJ%p=2sL;r
z!h_E3ET6%|bM+aPAW<5htjtzq^(bLw-#(V{K_;By?yo5vkw$Z1NNr+~GHN#%Tc-pu
zVRP++l3$Aq)*pDA!F5mto&IN4p7=A-Tx<Wer%D!t##4e*_NvH^dcVIWjETj?mQvqZ
zIe52q)>$i35I;GXCYi*9=k9_{+q&hkqj`VG>E9F-UYh@qe}f4+y?>;AMgcaR2cxw6
z)sR~-N|JcVMEkDIO~F(pyplU>^SMkN%h>!%(o!r)3ViYMFjR)kp;lv?R1E}lF`I4t
zSfE;K`D}QpjLr@XK9e0(M6G5`a<{NxtdPFt@KF_rWh?*QszXDWNSOO6eIp!aUe@>1
zQN_FEE!$pwrJ>>A5x<!`M#z3;*}vnJD()mmY}uDb2T`)kp~uV^t~*KW<YWq-Oe*#k
zGBt7I4N49T7{e-a7xS8)8jh}}RCHBnB3b@JeOsIfer+7daqU$Db3$>}f~18QAD1Ep
zmMIjx^2fh~s>3dusC;Cd78++LZ#`yA(X^NrRkEax!S+7?3jtc#nLnHPyv7V~iJJKh
z@fs+rOObP1uZ8wK)h~A>nPcAS!5N!b4OA5*q<RpwVE2pP`GBhhY~;!!qur@+{j-Pv
z`c+NLrH+fzr7hu*aF2KV0u@0YUoYnIYa*}IA=Uq-C34xW7T#S{Xt76kse_Jv%Rdrj
z)2wjt=U}()Cn_HN2$-sIrD414I|XkB8=v20mNG}F*d3+r;$%gI=HO+Kiid10J0%|T
z;}I2E`U)A`Vj5WEs%xLA448Dh>N}fCMV{t13+@gzygx@1y5|N2#u4oVOsP;1?jQJj
zfPxXv|2~OF0wZ&hfzO_3;OW>%agTy3qGG4EyPO2Nz4TrQI%(j}(EL{QR%Lwlb%;sH
z16rbtGq+c$qv~-+71yL9DlDu;OwMuYU$Vd6BczUad$zUWZg~`)@oSM!16WV_b+2ty
zL#gSyrvnnQIBGmUZn_^Jp0~bbltY1cXjU%&XDLV?c=G=KdO#)A+4pm|Dx5wAH!x<&
zNQgYQ_6;4lxaoKz55FpAD??A`n~+dyR1nlR&BntXWlFk*3W#gp#$Bi+LiX;57z+*;
z_((!OHttgfW9V09dk6vRa}@45h_E3@cu2jyLkS-~+z<}mERLFOLU-gctdQ^{|JcTH
z1&s7u%6s%n6e~qHFPs;$f@`GlY8;VA{tQ3q*d-ANmCaWlNVLQn(&HW{Z8^->IIG>d
zB8+;c^}Uh{7Wh`o+jw_U26uiM!taj|ey?MwSM0GsyzmAGYP&QTS80CS=Y=qCOty3x
zGspObIkmPrDcl+5-lCcygoWO?Kh0j|m{`8~xgCdpH|U!_{kb6oNBv_SO?_s_@F^Ai
zGfl>qq<EDeK4DaC4HO(+YlbsIYahNhB;!)R2_cD7!WgDX#h>jo#k9K3QfCGUmj#Jc
zJ}x4dzZ<uG(`r-vM}MjAvWx`hC$%@zS)z~$d#88snF;=Jo828dB>@G&s$a=AV%QMC
z-tV}<1R@!;l7Gx3V7_P@^~Y2kJ0-|8nRmu0jMQs*|A&Zk6^z58qvCkj8&seZW(@XK
zO3c45A|mUTnND9MK$DL%3OvR*^?kQtQ5_MnMRnt@!9?_)_c3AT8DV&?KyqUP5fM&T
zSCH%^u<Aq%@tKJc9yID4*!O}{|MZcGwG0vlN2w!^U$gL)a>nH(p9HoUu$0a8$k^-X
zB$AZK!j@m&<tsVw3mYUi(kvyRmGG;<+mMB8dXwVp^Ad2qnuJ&{DY%@oMZ-7~G;gCc
ztK}qgXUX+lO_PS8oQOH8fQjk(El$Kl67q9BmMwP6AliX7{VI^7^FwBjvdLsv8YS4h
z){uij>Sf#WOeWMbo%PCV$jI7QXtXCo9+E~E(<fIj5z|rK=(1N52l}3@s~1#6(AsP4
z17n8pxXGN}%$7pL@Kooqvr3TATU;^r)DQ=gRT3%`rP0;MC|5YIj6||^`o9K4Wbl?d
z=@De$b@kSNVf$2YXsefJ+5<yezs)+IEGdhh9xJxSxT|9KDW1vTHbXoS2yk1gD~DT~
z?0wA4De$MyXB>QMh><1PpwFA+@$>TZ&s9`4xczshI-8e?;@$b?N3s;4cjdBDpQJiw
z9hz_4G-jgG$0+O5kRno~&VDW6*T5Ue+h2}GGvUY+6!=tD8H)eX3>N1!;CAU`=DRK?
z`iaZ@*FWX(;-P)$=@BYSUncf$W3lijx+LLgq6*yHi#O)A(C}kPz}BaTg$6ynyARl^
zn9|iF)|{n7^G0ZqD9Z?)7e0Az`KyW(-EVg&cxmGP-ojNhj!&@YINXs^O+n+ojG?p@
zTDTUxk|q#kjL{cqZ^pva@TW^j;q+N8@bx>MI?gmfu2D%xjk-FhgCX3vmun+|l<?#8
zUlWkh2YAJwt0T%QdMIv<HWCAx$phV{aEz*$uic}8-?Ka|R)N~MHC)JEbH@xGd!f6Z
zn~Hk2!Tgw;HcAzfF5F8u$AR`%|H(KiI?hC{y)3AWm32vspPYTK8t>TfYn+Pcv}hUe
zbS>~N)Eez~u|(btUV+P|G~n&Wgp4<u_`bBt@1VLBJfDpY`GnC>x6&imYk`g^@}swU
zlUDe-GHc29I1S6+*9GN$p+S_lK2WTH4RhAa%ISC-gq4FI7~iEr<--O#7X|RlHC7+q
zMgyV9Bs||s1L^N~KJ4=6`0BR*oZaMUNRVj1yz`qHM1;R}-8~PK`X86wSx1FX&7U2`
zVHAX12tNF!1t1-nEdB;6kfZYA`BxQOuGy~37y?WWecqQ;qyeq$;M3K+m2t@L{kN8n
zfXK;F=hZwKkQ?0m-!G282prYh>@)(zc>P)XWR*JFxXYwum~uFF-b=5&3s6uEJN_a{
z4b37Vs}`<G<IBO;RmtVR#CrP`8wx16oSr>A=*;nT-??v2rEqe}AYER$T@`NLCYL3c
zB%FJn>u`dTJE}M9jgL*JAWH1jEnhDpio30Ox>Nz4buA_0LMrelWHg~w9CL4IeOo)&
zpeXlmysf8<*Oqk0*mt6EIBs(E$0|0G{?3gy+*QQBgh3^#5@B$=swY&|Sb=S|C+fAV
z0wPBGlMAK<;ZkxeutL)cAFNJ}xSx^3wN>>$?9U5eEWGXQ?Ho%qD^XfRsIn-{S)qCC
z<_bjIzCA<cwZ!d|x?r6iX|$FtxV;uy0gW#iV$@IzBskiyW}cOT=IQ-A2@m+e7cu1g
zde9t8DN?P3C`r5@%IQ8;!H=w~yEgu_Gsp2&T-9cgWNg2qcH`V9e)z>5T`;UN!$;G_
zn+;hcIN7Z9w|85C`0byRxoBo^OILilqg?`PXnsm%-&TOU_s+AY=S{%~(00BqCxM)!
zkE%!S3Lvkj*M62{ijSWy<31fHVn=A{y`iguSe_%vXgX<vsf!!Ae8q{lp`Gor_nr`(
zk2HRW5a;m1N&Cd=G6Dv!nZ0uTCX6?=r)O84HinKYwX!{!09(6!x0kk}nBHA)x>w#9
z_D-wYMJ))}`EhcFSR;ncPh2L3g+_SU+gP+wjQ}0Hk#|pTh{G%OnscL>5t4fH*^{aS
zEEd(>Toq5i8k@!hkLN4|b`M$@8xvsiY*@T}7ZD`}hIZ`TEM!~wbl=)ez_`}J&A0#w
z2%K9vQ7_6u*74wFuQ?pD9;@rL*h@n3c&?6S6%)UBEa`ivIefB=;y-zk4DQSoRd0Nl
z(0TL0*w}-JU5@`ubQ>i>P|lCCmge~LI00{-UJk!JqQ$y-q+u8`W8Bfp(cwyB-oqUd
zkV{{FU1PHh_U6v?&u1HA4f#w^93Kgd{bvTAwa7wA%c#z8ry)Kh*Cbfil2E^<Y1GD6
z9v!7Nyv0U_*nVvxMJ1UGmE$Gy9WNB%T{RkfoMZ^<W0(Jo{UkB(xof%qQ6+pU2$-q;
z%fMqtDg84ZQW)<Q+5Pqs#{fpl%&JT=@WfzulErpuOl^G{!*xOhb9pL31>YG^<M&b`
z$H*YL$EP?rS{0$&%&o0Cbv8>-lZJ20;zzMsx)jGB3cu~%v?ytapi?_KG``EBFZQnM
zxr1t`F)uBefFWvZOx*QXDRBCr(jXG6j%Ob{Vx*!CVaro9F;S$5JqH4vc#mn|7SE5C
zj8;SNMQzayAu40|vPj(C3@YsT$J*`GnD`heTolu<jIY$8V`Zmkc$0T!i|`pH9-e=9
zcE?2(XjPw{^vR$j+PXd`QicUC`GBR^5LJAqOWP(L)`W&}XkvdE3l?1#oo~%3Fy{5V
z6Xv0Xu&Eal%eEQetzPF^O+hty7b>L8$!Mda)1xU^!5B*;MkzN3)DUn;X!K;QHXKs^
z@U~AHgQTpUW_>{&a#X9TY$F|fkhmGm=r+N0ezL>yEgBf}%(cr*)WP$CrZ+S7rif}g
zI@KviMXN3);rt~X3}x25&$`Fq#n5b?!7VD*l6ma<;&q^%?8M($X^uuUg3JJuhFh{<
zB_3(&Ao<M4+2XqvaJRU!Fn67XX`RDg`p#&hN_Uys(_%{~ia9@5UZjD_Gdh_4Pzzr#
zzFG{qXodP!+HT%VI!2=VME>5_#MwPrPQ8cONc|acEX0Y9*#0ZIo1*FXsVw;B8HWq(
z2MhapE$OJIycW_Er{VF}I>V%Bz#yuJM@p2Aj+IvjUmn#!&ie68)rY|T*VPSGwKTL0
zhcBCcr3TMEH)GcR1zKwbPcR&4Sd%$FRIWimmSCs-I*K)><9TL(RZ=-~I&{%#j|y6n
zzO;}{ts(0eZep{7iaU?K4EZK1fpz5ExPp~6JWV8eCv7zFPU(`z#?|sT_&v8_m!UO&
zuI_eQ9jp#ng@*3xl`>E&4;BxSwFW8jPXD`jHQc_yF%dD6Ncp{?qizOZ7!6;x&ZHol
ztq?HvM*@{IzSB(3{Zk8Qn}>2$@$LG+Y1d`~w7dTa7jQTd;>)A|B3}hL-cN2^xg!QU
zr15t<0v8lqeP#-ku_c`pd}Eg|L|4{t+QbWZHU8A)3Ri+t;-QK|wF0=FfrjnjY^bmt
zCetn|AZbFlNi>rm27DoDRs&Y}y?WPO+K3ziq^2Kayk7=0y*r`1jID6*qtC=H3t61r
z<D+MBjSt$X-q|JDmKaeu^joAt8nPYCv&tR3*tA1V;NYwUir!Xcf3uUq^&HQ%%MQFK
zd9T|r=57JYOSJt)f5<SMP~#gW@q)LZJoW=;uD;J{I!1PoV4OxwpH<^UL^;b}QN|p1
zeM7TaY9z3udhjD<4=?5nekUl!nV}+*d!ePBh_19nq1ThVP_6M+a~U_qg!QA$mvaOJ
z)N-G!KgWktckk6Mx|^cnkzqL9ngD8uU|VkJGPpb4-yi(Q1Q|Dkuhww%x@y<9);0di
zVKd;A`q<P2GV#vr7`ixudA7;c#`2@c%`3~c+!#;Qt~@SD5yOwwk3tJ8SK#OwyAM2i
z#^|y8vG?GNC=MnBR~HKi;>-5qe%hr*$co}QWS1_AOu3rRl2Jl<bHt-_jN=cBgXzi^
z8%5!i*Y)zrauHk|e7@hak%gv*56o^kiQ;x&clydwQ4IZ#k*RiJLFVgufB9feou|z?
z73Sio8?&<1A7$c{`=vIo3Q;Wiy_Ra!CBR-j>BhgqOa$m&%sQYh23xQ2ZZd<2&XymK
z{S}zFzU56tRf8B9iel+kI5{KCyiKpF*$@n_mp=Uv$MU+x?IF8K5U@)WvI{jt-k9ae
zj7o7_5>M?<xIu<R@1ut?%7)NWN_!_{MS#tb++@BvNzR@{7j_LYFm!_G9r%iXtk%JN
zt}W6y5wfrF;W-9aLPA+DQ;1kzz4HB`J{gob@W{^iFmQCF`tTJO38++3bKLyp(3U_A
z7c^o(r1bp@X*vn2tRzuOaRo4JPrYj=FtAZ){f5(0WSsGPxp1RL5no@W7YqG10KGyu
zGek}j9;+5F^=?!K)4*1-X~F>GgnR2Im{OSbmRPsTRRz3(&V@fe8K8Sr`ZxGW<I1XF
z!j%oGcyZ6u?BP!X{M(+8cBD`SKQ8_GnCC~qlSX;IAW;S+UR6mQ<&(pGC+SOKacUSH
zeQ}6x%E0gaLV3OW<guIg?TA*sI$8`fUv1jYfHN<dRrE&zw_doK9BtJ=uF0kn`-co{
z@9@3Qk*S0i-Ps{uCOLk5%gr264UxOC&A0S|GA1pG1P_zxV0;nj+;zziJ~uzI{~l6-
z%3+_HFqS5^_L>bh>oB3_tCX$nrHaZQlI8M_S_tJ%EBoBT#J(3Z)5bOw=syXL<95=9
z<ev|H3K=Y1^!ApxNLRy1z4-NheH~Oyj^y+0G(w(Qo6}A)bri_HDy^K=fkXMbnM@~R
z7*v@Q3Qeg)IV>hA;G`}VY*r7yvonGAz88Os+BA^A>*&J$-@3>Q%#V@g?AK|sLFim2
z74&T9!hafi2ztKF$urapK8gXdZca4NW>wCeCFwz>Lo&JTq&WsI+iD1ZrD4wc)~Pdf
zx`<fFyp~pJfl7VpxTFX=o(vK)Y~*#Zm;0KY@_;2QZ>vs(4$?uWD09APr~@x6E|0@s
ztl;4G$Yq6sCQc_#_q|@Gjrhrk<LQ%Z)M*iiwwY-{Inq3okgEyp@;&oTyMTOIk+=js
zO?3Tx9vm>o$sfaE=3UPL-HG>iDmb}itraCGkWR%^X|l*3b!%LE+o>IPiH=jZSHhL8
z4*n66X0o3(xD&Sy9+anJ2f2_&x1-?d$|`P)Ol!Dr?~$zCPs6(%SEz4Rb9A~oG$7-q
zHDV8~bfT6}v1y?%wyZ`GFNkN0QDlu{tH0_*Jk>zqTbIIOAx_?1b-Jzmf;D^&Iav(!
ztD{M5Ott5{6n=e|t#698#;3n^Lr<To;k8QH_ONIYUhZx@e`cLEvcJ%F_S8_|>z~If
zTuQ*@{0)qQ($)x{Z9hY~q6#aA1M|^`MKOL@ap+b*P;9F5{M>OB)Tg{TknJLfEJdTn
z_5T6>0VltuL?|O;k?;G<?&YYq)iv904%80u-Pqiwh->SY`xyM<Ma}4`fyHNRJTDfw
zuUjvVGQ-8zluB-xlLy6&RM`;n$e<s6CJVw_ixXz^OYGjN&xUmoR&aWF!Abb9G>ndA
zyYL=fWH<lf83=B+M3#F`#C}I9{FiKhMzDW@eROpQPX*Bu|Gh1LwX2$p)J-x*NgwCg
z$7QA86!}`<Ze+~*=Z+*O+FbMyK0VJ)2uqfy-8V<=qomD!i$s_w+^&>ppJxXNSzFbL
zn{)KXze>K304LAS@=ALa*nelnUv`I>!HUN&eymd*eVN?Jj}QK3KM2n2Deo}F5`F76
z_G2+vfAw`Qc)rM{r+-L1rDKX)r1nH!V^M@Ib2=#*vBVZDUbb}lv<VyqjSE(f2&4O~
zcKY(0T)32{di&XuF}M_V?$diHgxm*S_P*uZNQtk=Ul(SK`>b6*+J-p!<jrVtM?Vk7
zZmj#N^}z_d=jDFe(F9@9>f6*R&WH8VQ6eFpMp*6r%}d~#08H-qHWlw&hMg<RMigGM
zKvZk1ytYOFuits>JJz`zQ{SIyZrsemulaVbX;lGOg^4?UUCqf;iLU+hVJ1j>j`$Eb
z=j$jFTjoavP?py(cQ=R$(V*_deU1XyBONDgbyf(*LMJXt{xL*Xbm;I<jsP<B8Vs)n
zh+u!W>XE24LwMV&Pi+wvgyRmAK>rP5@ar_mCUA5t<<NtIb=L)PNPfwluUs7biAU~9
zwK9;U#A6xZCj{>vKO>b+0_Ohe==TM4&b`;n-FFm*m%6G&%r7Fcsv>vhkr}vYuH+ZG
zUIfR-9{<fYAwjIpAg8<4076d2Po)z?apXvp?Lr0_-iODQKE)bf(`{D7kwGyi)LX?d
zmL$>i{_A+473cYMhrZ{x#qp(TVo&WcX%sXbBu_0ffLz}Fl1*_0SasQlEo#a_{^BoF
z#(+MEE$%z!1BkeDG4iy@XF0eYT|DxyL?5p*Ei6O*CE%aYEE&<NfF_mC3plNhtia-^
z5Y8SpsP*%BH7a4oozcUWsE^vIpkvoKyv+VVdL;K%8ANe|@B5GFLp0ulR`W#?x`$)4
zUM^RKY;5bmNQypmYwrKkc92HWjitF)dK3hTDQe%lrjL+MUHr}uWDu^`Jge-lh9?&s
z-4nX>5ij0eskEBIqn!8#iJR(}iHSY*P1pd#x_3O*P0OPoyys}(PYndTlMpN3W`K7S
zggVg@MdVh;1}&|mA#;}Z<xx&Q<z~6a`>mBBBHz&5e3lO5K2IMhI|jHiQfoX}D)9So
zSnI@uCjJI@bI-kHAaH<QP+_2oW98dcEa_|G*IjDl)+|F<-00dB&ZK}Vq`B#Q04H~J
zlS~zNFyTv~gw2|%A#~ljq|!uPI1GR54PMOxHAj`WWUY=hle<L|V)Y=Owl?dUs}We+
z-gsPJrGdo)aUU0TeXM?OIIY3im!j`K8n;<f@ghnpN-0bqMY_kbrLLJ^={E17<@z+p
zMODS_%h3l#sl(Cciz)ooCob~|(-D7Q>&G*>`uP21zC(a*j>$dl&XHZ5e6iwfU0t|7
zPJfa;eBi7FIxV(qNAA<aKi_xG2@3ic?b$#G{%(opjj9*7&uW5rE@5kyi5_S%3Tqb3
z*x)*wH>kNr3*mRmC+FVkU?j^RaKYsNd8F&yqk~$=b*%rnlckLsv25)JkAU^V*USAP
zw4msaR<B{Ni38nMsZZF}NG&;${?J?tF8l1d#V9mr>HFOLbJZGAfg!Y&eVQ1}b+y>>
zN*y`0rV{d$HQIb0Pyevg#BY}7ij+7C!gQ@NB`7wy{JZI5Xbc^53W`r!)l~3)>Ts=~
zr41ySt=$Sw({N~Q{N}n!1&mPL2?}f*Jl$|F<NyCzT(5Hvv$xCOo~Rj@ofhZ3-}nBD
zU=2`P#Jyv^$zX=NKak_IfhKt=*uh90?$SD;@+|~(zq_82`otQ@rT5>Tr66xIyWWu|
z0*c}Hiu_~N_|K{A!-W!6m}wjLhu!AKvQK=z_9oUaI;$(!9i)Ppjm$5K!n|m<6xn4k
z0wl9KHiyxb;U-_bCqMQdo0&S}QIiO~uHkx@^-%%;0{{U3{|uLRIMsg?$6b57*WO&)
zHSWFk{vI>YFj_J~gD43}sT49oipZ9bmWD`0eLs>}KSgDQva*%z{qz5M&hvSmb3U*4
zd8z!T^D^)F681hzU%yWQK%xGt@Z%H-2<_=H%_y72#>9uxgJLjf@W197en<>9q6BP}
zXn(P_pj;oR_hw+PtR2_3TLkXM78oU+p1|Hs1(@I4Foh<DGya;#gn(n<tX%T;Q7k~s
zyCTTc6h5cFyZXCO0EnbW1@Zjf80|`a=fwyUP?FKG@ZjJF?%}xm*|gu7y0Z1VQ+3AR
zEc*V5PC5~SKMPEK`S2U-V0bwFoX;4zm|V{Er|^Qs`}_1Clu_&?8TnuKFoHR^>Jmpw
zZdhT@*g0)Djy*_e*s=KB5YAq?{Kn3R6Q(39xzU$Nto70fODRr6IK29;Z8ex3)RVgu
zzJL3Jje5;qnmA?vi*No7c~7!}hW|I?Ul}u4X7+J^=SF=<(Mg>O&SwFig4@3I6SJ5Z
z`t-p<Qy(^dn=R_cGsDEZoSOKdc}z;2;CnAa52l2d8HS6Q;HpkR>aKuAjQN_H(Fry^
z_#NTd{bz;|EO+N{(=wJZA=jdl(dTuc=4$bZs2?MglickRdsZ>d&^gzE869{VY-E0h
zixJ|wuT~y4*}z)crlc>P)B#tu>X6{C1ei7)Jw4#Y0OI+|><&}fU{l>`@DnG1_J6me
znjR6rl=hv+^|UtJ7P>7u&_aOv;k48$ZYHQd(r8+^tOZXv_o^^$5+HDC{@cJ6X4rpI
z)KWV}3m%PTJyhJy2s^HdRhRLw!m<-1yQGK~>~nm<9s7<Eh$l;%2g=xBFsvo~%wsx;
zU#|+U-oXTAVat`iAsnFVpBr_^h7QsUUhr(030OY3n}qD;f{HU)l1#%i&^+(CkypnI
zs=C-se-|DQ=OMpLjiZ4q*Zm>E=PdARR9s**iVtcnZ#6s6X)x|f`8Zz93jEBwv|J{M
z;86Z1oDZjhpNXHE<v1H)E__e=H27h2fQ_WCOa*7J&d)JM98jLuADkQ~0MBfn`FCV%
z0vXF<@_Nb%D-|;fksE>#=~f#eDXj@4Prt=CcHCQYDBb*iQy89HPqov3ssZ}$=1Ud4
zyx_Hit?G`ID9nYq?#pq|0Hc`9rNVVSP%7F(850$UTg#J749ps^{3hV{1~&=POtlto
z5GCPQ!1BDuM|B9eu}@7+n;#6c&RsRtkOm6PJDBx>I(Yh5cNPT+K;nV+^O6R#5LXeJ
zpOdc+1Y!Te7oP+{JThmm;z=?bM6bRnm#IVWSD*LSEQG=FwZWhF6><>eYN9SUqz;X`
zwL^N}ML_Jvt&=e%1&|Vy=+rgT0LEzDh}f%Q@S~G$=5T}}+_jFsP+y?|nw5o5|2azl
zwfN4%*mWgv4Dgh9_0WW;cnNnfNWqQ!3G9mTDj=!r*Zf(Z3i4(mvmSObkPqRW=F${k
z<d43PB2R-lmiG@NU&#XX#iy|gm1<x%objx<kp}0uwB6oykl~?oKwaNX4R9J-|8OFS
z4&{C+N_0kfX!QDS{HRkC#80V<d<)is^kZ(MZ#oJP!@QHLM2QCa?W29F7qx--^8SFv
z2}RhJ>D5~HnFfVA?+&y*(1AZA(JGyVO7O*j|Ij5*I=p-zi2qyC1*e0&#Ubs=@F9{}
z=1MCa-hX^LE#|8a!rtw1W$P;N+^@r#SwaisbnLTd{uw~$0fOjpehOqpTzGU}R|{I3
z|E#j68o>+G^~g`$YVbVuY8Lla{hZ5zZPl0wD9hfD#fQ|uYN&ShYCRqJkAIsDo;C$O
zaC`|V>hK~heYr!I4h1RpcL}K&*fW616pscp2_9W+I8FnFr9vJ04S?$tVvmy?HJ~y{
zg0cUTCS>kx`rTn=4##MBU*sInfaYS>s-R=)pp##nlhJPu?uLFb6|x$z?fOjpmvU8T
z+_^CO+{*&$np%{*w)Uv>+k!&L7bPeNsr~W0#sYp%fB1W8K@Iku3Y59~O&&t*qmEQD
zSi*3s$A=SKYQWWcjZOB4EPM)QyAm#K2}{JkA#Q(EK{YmQN`6TKWUeJU@<>^Nfb*~H
z@P{g(Hg=S$EL|9oH_MZ(O$!*itXS7!tqf~-$fq-(lE7isU{Su=0<;fJ#5Xl70wdes
z^oB>Akb7q^l<$fKMBBTZ4X{uERT;VuS&<1o-q&!cQ?Y;>2PYnwZ0&L7LA7?VEgrsP
zV)65?Glw5-sfQ~lWH2r*?7Fji8Z%TWJbd+_ITSUWeRa}F20RSfmcQuyz|uOTeRL-P
z=7i=OzWPgo=h;x+ZPK?e@1;|7J?8+h_^OJ82V$_lZr8Oq%{DxO>&j7Qc7T>a>wDWt
zA`q$kQiIO<3s<zGQTwPE6nHUne7GkF4V(@qlb#IWouAl-^qkFL&!Y<CReyev6WYg;
zbb18OYx2$Q3pWMV=aIJ2UPO@Do7Ed#K8l}kkW!9%XaX?|dKGthc%b3nitXmdQM})d
zzwFFUV_28|H9cC+0iT86-D%kz!7cvwo@)>{hSEHeT17c4q>~e}-Y5LV6<5zK9da`Q
zhKiQkYi!JL&90POb!Q0YAYD1eQ)CFq{+4<Q4+vmebV7gR=m73{>u|)483V8-Trx;d
z*u-87RUpZ^pSa#^W^9p_0W1v0b~m42#c*GroV>AaT)2Po0&}iDlzX4JXS96@v!Y0b
zU;q3azZl=48?d4WF9|zthepq1vR<pw`uG=|cP56n$W0FdAKQpNBhO;xm6u*5rZ(U^
zeKK=T*6P9uJwg3X!ZVmx=;eS*BULy#TKD5^O<g$lQr>E^d>SiC;tWnKxr@`wEfeN)
zb%3el*Kdc$32cQ>ALlJqfQhsF`5YwaK>fSp-5v+Vu&!s$k%kSgvD5cV77F9Ep>*@Z
zp#A<4%%tY@JAdsujAew^=_!*oATxy%y|0F`3C>c^8H@k0HEZE4_ed?+b-B4_Z_p6-
zoMFN|{ze<d)a(+K!mI_K1P-croFBxbb_=V!pK8bUzf4-yzD9?=*s%GZ#sSPIZOBw*
zTQ`=+G2g2yK!=n(14hIB1K9RkON*uCKI}{Dw%6|YG{A0s6HJg9z)n)k>~1pmV_2tb
z@f%GVOx`i}Hj^5_#=24$xtRyC*8Xa{gOOBlp!}oV*)f0xHx2h8!C~xjjG&H9sU}<t
zry2ZwIDo1Dd7kWKGJ<*Tc041}rvWu#?ma8IgP6%<kJ;?YV_4-)Z-b|T8la_;_Og6(
z5X&VMsF#mSV7g{+BWE1cfj9ly+31!b?C5<z`s&$f%%6SKuP#Lmn6OFJ>pzCEqIJig
z0y%%Nl1jNFLfsTtvmk%T5*)#dH4i?0B=Qe?`o!_>XC(>*-W_%p2p`2>J$F^Pv2_Rb
z$R5f39i|GBdRWyuaU2sH)VbXjIFCJcNX>Elq5>wn+itCOPGGy#6s5lJTg2YqQ7q)q
zPyykcDoGCQQ`q3}s@%Tg%UJWb9z*G5Ww=+Y&lkY@7c-Gzym_H?6+`#_KDfT11Stmz
z_in)q*4BmB45@5jJEbmo1|L=evtZ^@gPea@lve{^M<4@G)QSoxzAJ(#XQ;lj<Q(?$
zGx34d9|Bw+j4PJkr3gEmo1(A}^Vq3a6W_zBOmOJXe)j#J6yPxH+2oqri&)9d@+K`W
z7Vu2W8~^H{0Bl)W0X*5u*zG=p8lpQJoJ2=%Z~TylL58bVpW9ZkD1-D!l)wRdo*rG<
z8z2v7b8l5@TWw(14%nU!{Ko~e9o8FR?DAm7Gqx@4JOdOvP3ON$=LJl}m_g%_9IRPs
zXWW}7fV$OGj5|(*K8{`2j_#KOxkopsLbsV9UgfQM@Bw}xx!7OZ$twp=*KRsRd$Yg=
zM{6r#aY4w+Ei-d!CBp^mha#&R8-z8-=}xc-1Kx!5)9#YNboWZjMl1(#N9Q@cQ4|GH
zhv*za6d8K6%D#{%xFCC)<+}S>afoXr{c;E;1N!p$l>aqe*v-B9y_i7?r2ifHL5U#4
zslDYk*D8qMo_(=Er%ndm8Y-#i7LXxG=0Yg8ogbvuo`}gGA%pZnv2xunGHgrnEa74j
zgo08<MIBao_|G}GXwgCrc*~^t(}sn>^&~|xu}J|Kj7K>d{*!~MSO3mC&x*j_+GRw3
zq6A_wzi3i%@<6m`n?I&04#yUTl-kNvAm$}iujiZs-1)<1;FTc>@$GX=Yu_kfNIUzv
z<B=jr)c>2@pvyqsq_G_<Q3Dp@eU)A+E5oP1;irApWx@2r+l6m#RG21w$bP)20%K`>
zOWt8}AR^j#AhVMOnRadgoJwlY!Bubii%kJGUJ7RBZPMXH^cSwkY7Hp$iDC`EuL!Rh
zd6v(JYlCW@ckxXx8tiGL80hR(-r`xD?zof=@QzL<M964Ccjd)UDw`@eqzAi~uIWI5
zw8dUiQ5~>~7M6>upuo3;(Zu&9x{#9X8((Rw2jl7tTxxsO;mHM$3MW22;EkC0a{qw=
z(8PXZ)4DX^-QEt9Re3$wd^q)WK+_nW-~=;qZ7OUueP2xK)P-l%i#IqMOrh-YvD9|e
zt#=i_s}@$!g`ywEWz3oY1D^Von`tz7Sf&%*#-sziolKW$e&!%;HlOd^L4#Nxd&lAn
zT97CMh0m{9z$lAIamOePet*h{%gm;MR!u39Ey@x!ZYV!=XrRHVcZ)$f<LVI4UGBoN
z-3l7{+aFs5(I9eXw@Hh&3WPUD4-2(hf#2)WsiY1n5d4M?8%D~5z9?Qhp==G?XA&-T
z1ZsjB?VS*MBn3Rpx^XdJ4f^qQ8Ry@s!{v{HMkYT6A#C<GDN)fHp4(WloBc<Dkt;kT
z-;W%SuCmCh@zV-83MiiypR2%G9yDn2bP>Cnp7FRh)Cxo{xG{^JR{{nvHv>D*5Nvq1
z;;!<7C73OB^)%`$KwkWtkex7#OWw^_{BYC~X4zy$rxwZZn5Ct0WIF-%dU?k1{bvC|
z^9kdx6J)^lE`cRcl?}C@jXD2?ZUHU~8(l4XB;ekwl<yf4T<AP;S`*7K2fnX|kBsgY
zfrze(-i_<LXp>8GyAG2%F!Kk|&gTliZkMF^zxG7*Q=_)TF9hItKTQ#%5aG1p$5Y1R
zM5L5A`8lo&gLc_}5C7Zb0L$}~=6YiiYB#zSE6`;IHbw7U&Kom>d3hT_XdeklOZ40@
z8Zia%?0vw-vVoaor||x<BcV!l)+AddQ}~p4z4uYp9Cp3yzX+s4LivQB_ifcp;M2A7
zwMe^BEW*e0J^LyV?Y?JgNA)rWYPHBVDzsrby(IQ8%|!If?6J?>9V4g@4Ew>-UW0!q
z|IjFuPecWpFKi3P4WTAi_~4Pdzi_Pm>V)=1BKlga(&cSx2%j~+U1Uv}z)uhwKkFPP
zqT?^qInQMnzylIVTC4IOZWnPDlRQR5oYNFp`&E62nemQ$LtVtB;#NQ*l!#(Xn+@EK
z>VuQCV}`%=Dt@!|xWb<-BI1j3WUz17gTA)##x{;kT(G6g<k@#3x@~}DKkw9om70;j
zY#RbHyKuQ+hcXEOQb4W0nLN;Ld--wepRLte?Eb@uF7@)z&fFj&9`Vy?Xtypj;=U*U
zTxCW_qU*lCA@QR%y-}}S-8%3aBY)~3vZ9=0T>o+(@uOMB(dHFD9hf;TF4~{Qh6dfw
zJjnDAKzX{h>jXv}D7P_GKPk?E9JxA9sHq8}?yA}+iTT<PRo`P4T*!%1lis>_kc7}G
z*YbsLmfBEg{rh}^E;mX@X)I9{5JofK>Cp;*w7~Nh=egx?JZR3Dx=~IQL1n|$JGu+B
zprmL}wc;ut8kn;;<MkCqT|68FAGa<4F#Is|s+fqLM9WCkRf{3DIn5r2E&j-P{V;C5
zMMC{9j~}{dN+93xqH3K9I@mkzWPNv&AGt?lx@*3bMAhcwr~z$xx@39pa;^Y673XUm
zdR!XW_1yW`d4~=kB~4j+-w2|bTB-BNVzOI%B~{~?NCyE)tIru@Ldf9Z-i~f=GMc&E
zZ*CAx2M=#*2~AA|{hs8;<$2}Mtd3Y}X*?YUFRz9LUKT~1$>X!RlJe-Me2BwTE*&(&
zhqZr=iJ=^aOR7Tp3dkrI^Rs(T2j@ant#Tg;RQ8H<*LPP%bY_{SOLd73(#xy9Z<Zwy
z^J`7Un{i4=cdX&S3TT1k^}7L9`O=8hPr+f^8)YP8ReM4uPYbTmwVY$sWKq5X(>}_S
z3esB^nBpOA@w<!tP6{6x%^L3Uh?k@wQ$CF|Jz3iD$2CFX$O;*0RlcgPu~0)wo+P_S
z6CEJrb@Ql<%OSf`{S6}*b;Na_SQEdn#d9?sp@bfJ^!;SW!=M8ih<ILTXtq%o!lkt?
zK5tP#DOF}ir42Mu%ODpw@r52dwDbO@{Z<kAtJ+X~|7fDOAA*lMztD%1^~?_PMM{Y4
zz)$<_XQ=4N=AP#|4F)hG-e)cnp^W@8H~pDwsHlc_t(!Dq2>a)fY1_7|pclt7tE!r*
zNdD{8XT>dFP*_kGdcLlL4u;e;iX~Ff5;I}_)-DquKMTy+aa$E-4K@jHFi?^38e2r#
z6;qggtZKcTL_vYRCqId*XrlF?3WJJAW>C%>T;S|OK`iNA3+_xBh*HQ@X<UcFkeh)>
zPZ|X+*Za&EW~iZ$Y1%FhhXEw~XbK0iC}^XJ_g3g1RTO1_Ctv*r@N>SdCN!9Wm`=A|
z{V1q{(p_Iy9nm(2iJ6%_=41+rY5$Z(7FI$Z{o_iyE}FxRKOy-F#j40*$IVlDj0#A=
zj~4l&%pBV4zexTfs3QAOd8ylDWE5)nak8}497N;^SKW<O5U<?3I?)$0NP>{Fe)xwu
zSf}u7oY|+0`fO8A=e?6aseWZ=Xj}DV+zdkZ4k)38W_`;BPEka0c(=+>VGdqAr*<}N
zQ$$5?Bj)y%2%@$gRyX;0b6Bd^TWwHPK(F-=$~?&<p?hH-(E<)z-fbDw>%uIL{=Im*
zfKBos#>A1h-Q4EzL@Q(ammV_O=J0!mo;wFpw|%prg8=?Jmw)9?r7Y^NVV-78U_skN
zMgNYT1n_-cG4WVi2K@-!rzhplh<-&~CD@4oc;zqJjc`e!P4YxXTi+&LIEqELhhy;U
zjMg;AhB$g&zkmKb-x^N3$D^rMZw3M9dRc*23?<F<a+%vK<8imLOtSgR;9>7@=4DI-
zMX7txBfS>!HEw&$S1zUy81~w<EL8}l`Kg}XVZMN07n)RkT5JNrqL)3}xCD_2N6Ch5
z<2*juXCUl4XAFYNM2ggXeuPbOHdyt{<F0!;f9|s}hM3o(ecHYxbbIA)|H)$u_{Yn)
z9Jq6gK#X?U4YqRbQgH_ybY8@5Hm1kXydg-MHhxyU!;4By|9u@zS;7talg;lq8-ikK
zZEf;6H`;aeZ5yZP3O?*tCibDi065cce@GAF+R9z0hY_8tcwYzmLnBE85KrxSOVH&+
zR(|R9giq^u&voZrT(SDV%gE)CqRD}(AInBOn%>0M3y(1yE$D$$M`f0r8#~&&<NU&X
zDFWg-wr!*7xE{RdCdRya!-mrBJgXfJFrwj{2l05nE;ML{Z%^CChNk#4+QmwkkhxFL
z6|#peR10VF0s|Xb6xwYW#L0r1Ty=w2`g9;+W9WL)04sXQ^zn{U6e~*749;{pq5}#^
z`=*K}S&_Qv+ct^-JGvk{T<bio4MRsHeHf+K(2z~T_0}p5lvQVK&U{fD210Ti!-Ck5
zzG$v@=+<4~WtG#FMAQav%_DW1lWgc!t4u|jCl690w+=}>&;sX&?bzLTcC<SrNq5?d
z4{>Z?jTyAjf~MG=fdzIP$S!l^x^XQLz4<OGt~kEM?Y(0Tc2rK(tQEcc(I^QmMPL4?
zkxGaBm(<&=23+W`5qr;soB*;>TR-h$L5IA9CqiP6a--~hNA^4o7DU-mL-~SBG-wQv
zjYqF|P-KH`Olgl0l5IBq*H=!1k_E-Cel0#!mPFo`eMkfqQ<}4Oo}+>Kj(Fqyengb<
z;?YH!4N<h+epQOsh6ay)Oy9RSkkFH(@hWw%#nC+lM*T4f8f<otM!(&`kLE)sZ;z!)
zqI2@!ZY3;I;d03e%l<<GsQ7W>N^z1j;%2=Uz5hQdm>CVHUWyk)vV{73UCy$|LcPf-
zsfr2(JBv>7d=f%6b5lL?r^(2Tp!A{T0~L~QEbpmP7D0BqN=-uZ<j_Fex&YTC6@GIM
z3}LyVh(RW;LGgz?N=dHWV<t|6lxoqSZgp|Q%@lWKMR6;SbXXc%9ca+uhgapcOQ643
zPHpg9R6=r3$R~2P?&Y;@$1TWNQmD++CjDNoGAeoJRhzg*1L1~9S-(&jB;)eEifE;Z
zr1G~*rJkXKS)XIqK)EdXN)REOdqhFcJ1y>9W7mTD<9T6UUXf9mQ$%Sqk2+HM{n%E#
zQVXn02ZgA0awz|hjc3MT4b(4CBbpSc4W2$8f73eT(R8B6fKZVplH^Z6S>Ue&8H1#K
ze<!!{XeINtS{)TFkn0{g1nB~m|8PqnK?!O83hZxpry;HPW!foeTR9cxS)E8!MlrZu
zMc-Q*I(%>cnDkeD@DBJR%PgdVYMq&ipRCc)&CZfO6J<mA6W1ZO%&v;m8+GZ~f^;;}
zaYG|F(Fl}1o0-LbZ}D7-$-S0=j!wVU=i0w!4E%{fxj&03NQx!NEOo1YMa#n&&Hz)$
zk-50oYp#ZNu}zFvY^R}P$A~NRPBUl?e8Z_wu7+NoP1d<+OGU4|3IZHO0eotADc)UF
zLvl*uwvBf+kf@Tude%z-=~QDpkzE~GT|4K)@mLKpcx&}oSeQeV`|FCQLu%;h>=%9O
zU{$oU<?HV~mFD1FawX+nf*R6muRYVlsf_kn8v2j(Tfn~0?fx?x6x8LI?Ia(ofZlnW
zYjk(E0O2|GV!(WBPAliRn%2nZ)^)S}u3;8%uKw_nkBcgjHJ#K>+mJ?&@2!NjL|VWJ
z<?G$$_9`eqb>`p>OdP%SXO(ysVga|prRYColu^O7lmA$|5K<AH!I6Un9Lh_nb?a3`
z2Un~0XF5rUq`jbSByItJWs>yXCn%sbt2xn=cexRJ_Y0xuZ|2b38e$Au^2qY(?F{aC
zRzzmpZ#NgY<sD(qN&-8`$VI61&5gqZ#N|#=%~vspp@T|!<SVl1y42mvUOQLt3&jt@
z3>yK$@;*w1_)4R_C;Lniugv09m?Uu?fi2Gb$nhGJK%So#u98nr;sy=Tj$c+WSfAZH
ztdJmvY`VFvqGN~fAH<`-qBSu{<*_Q4cM?IG1`<atzx3jM=Tjv2dz-;Xm_83?E`;2?
zTh0cZZpZx}Y#VRQFohB!JrRzB0_Z?|;I#?+HvHLlS0?7KCQy_3jJTddLbg{trM;TJ
z;MQHXEIA|-uszCDQNck(z7C?Xr~O)Seya6%hP}qXY>ywr%y>|*)LyTa>aX}({m+j_
zbBzF2tDJULaw4@qHmSi!I&fYFpNj4+e{m@EUw?I;9f{ws7Pc4a!B;mrc@J#)OYbv0
zSSOklJ&=p^HE;Tb>xn0m8gCiE>*S&)z0b^OB+9qOyL}MPXSb#B%;>{#oHv8YekOFd
zoit@EJA#MDhMi({(uXF^f5}lIjEI?Fv70Sx9Cv!7osm+h2NzA={`ZfIfP5}{iC7y?
z<4=X^`)-o;pvK%e*ptS9@@G6;VmJTd>emGoMv`^G##V8Rn{g8#Ia3jWX8z&xJ6O`f
z7<J)@YjV)^+&Z4};vzY3ZVumWmBdIprvs9ukKJvw*YOMS%O)2&7V%d~#eA!?+K~2d
zCwFD#8ZK--R+O!^jBB~5?D`m_4fSc;i;FL=;iya9c|K?rKNn4OOP|+*={Hf923OYb
z<efbf)s}U9Nlt}l-vurBJQ~F3gs<UTlY>TD3Jj>j>-7V6HZ6#-tLMJ1yN<uI)#jlD
z6Ob%NjP3I@I#i@(8ygO+<I(-{yOY`(kq}*e`vDa?)bl-z-SJ@qH<XX#RCHuUSnuIk
zE}RB^-n)Jt`>}~r?cSyQ9cDpG|FWRpg$57qc6JP=GN9OtuBwU|Z0PI6TFKZ96^35E
znN!$HKsOqkTs8eU5dD6rL#F{1B<{TaMAc$M?4dm+PrSJh{dmB?sW?rb+*n~|Q)fa;
zuEI+Zkvu5RVt%k-Km+CisuboenbDQaLiZOfd}wyhf!(n-8gSXeXX;uw3-VwPt!hvt
zArbnecE<{JcxkDZo%@XyeSgh!p#Bm+lF3e8?53(i(f1dvR*vjQwnz?2<^+(fx~7dv
zr5c3ww+?p9a-d(AR;i!jg-|&ge|*pmHOQ1P<r{y;g;oqwZ{~prD)0=b*O;Mz%JyVM
z>k1y!JX;zVB_W24&k#-dODHfYRkhOJ#fR+g9xiN_lt8z8Z|W%pQsDaTrGaS?64IOc
z)_L1T3P};!BO7;7VA?kHm99HK6651z{*WbuNFm84Rn`<pywmsT&^rO-E7<n*AP*V+
z4*&rF{|uLBJeH3a#_f^4_uh{OkG<W;ERs>7QlUY^Pf;XEX&@;hD?~+wlo845KFJ@E
zRivcI$Vib*;@{ir)%l#yxz6{xUW?bcXzrqbbA!#;s+kaSR;_cU9+XG>wV?XuYZS<@
zl7AG^CyaFNt37m`3Mk`x$-nq31@zBuDdS2PMe|+fE={>AVdl>~n`lpU2-yDqaejz6
zGL`qq42&sbWxsj!NoFeiJTNz36(Wf`(sMm~;#HBc;H&4-H!2KYz3ju6E{!QtbF+7B
zD9F4p_F!RA1JW)}RJ`|>#ezKUfqe{A{Ocq)<?Wya6*k@cC0TM<KgM)3@|6ZY?HWA1
zagqjE#%A}2KgnZRYWAO@P%Z4bP2F+cM;jjSKU5x(Q^Z8(!ob9vG+b6Y?N$`315-{c
zJbHmj=x*yh;pC!?Q${tN_bYY5`GL-N>(|OSda5X~Wknk)abb>%()zIWtAAu4zbaDs
zHddW4>0sp=`zD=219<Ua?&N(BHEa$I;H(+c!DGeaw{tv<z$WJ)x72kCrlgJT<>A!D
zRPOHBIvEpquea8*oU4uuwj<>hYdXl<!p^9@VhXx4<r1ILsd$AgnB;w|gK;$<ck_NU
z2lsqJ*TY)_hyS{?@(Sr7y-}#_uBQa}tbVzf{aXXO{IrJmm}sNPj<1tm&jF%@-{p$i
zYT|djGGj>@8n(>5(E1%|3ABjHA98M*=y#u?64EqK(JoBnt&SCB?0BLOC9R286M2$P
z(kN(?5U;QD+6tN{obzYzYG9kPSW?km6`b#~j^fd>hN?&fbG890Dy_tB<z`XD>uIX;
zHK(oNg%Z6d?W;Qe_~}{T_)Hdmw6z5!CtE|r{>yhXA5ze8ATII|y#$IEtZdy#um(!(
z;PXgO!$Xo+Ci*#q@W`jzw&VX<!>17G7mq7d@cWydO?#Yp@cI1yHUpY9Y!=^e3lmmG
zrqilUm7UD^vH0J)ezAhk7u>A}{S>igm?^%;>krA^n`dtlW(B8p7Z;ez<&j0;+SsZ4
zKga{Efokg<R-j%ece{;A4v&OvX_&jvNM^3Km_ALl1fhikE7x90BUPx$hIY1>n9j<T
zcp_y9f?Ep+_Dl&Zw7OVYvoTIwbh#3pkqh8ee=jRMTND+>6Qz%N{U##RPFy-f0np}@
z8!qn>Li#3O-Rj19;*9Nodtdt!AU(<H4@LqQvagAU=g%S$`cpmkON0gV2kvD1-+Nwc
zGmy0VYqCsi>s9?MoNW#~%cm|^Y~jMay{79&>z0YtY&+)f4Q3#6>;S`SS9Yv;!XLh~
zbeZ_TuDEb;&J<QoZ8Oe#$&68SHXceA%S7sjBn5vpQ<zUQwCuaafM+9<njEhz5w`|U
zSXTI&KzaLO&G9`Oq-|S#30w9ek@}x(+fbn~2=+Zb-Dtf^Cb}`U7~WkVJRU#fO<XVn
zsl@2^idPHdv9vRPRWs)aqkE~J_u3gj_c~vxV&iYpqsK&WU*;U4XOkm6o@EH>HamW#
zM@^C2zg)eeUpPx#9FFtoU;gJ8<0mhNJ-(Al%A-Q@?Z1h6p5IYFb{l{QSGkeY*dRH3
zPt3uN>o<|2t7+Ux>Vu9ky>F56N7C-;R=&ccGXzIR1oJkEK1};3M0nlkAp30ERGzm^
z6BgZ_jq11c;LQ4~mrpW~+|IXI%aCQ72;PvcG2_&OEhlXheUmaszTl(9@>hNldp*P-
zxLwwT*LyyR7)h2AmmFBhMcZG5uMdUJbzKK;8HYT5Z1tKb%IG*-v-KB2Q~B(~bzTQ1
zJbvs!`Zl6rB<rYs$}i$?dUcflhBnw2E}XPje@9HXh0jFFPZLwBnYVXb{ig@V*%oT`
z5=Cv>+`{Lk2{yKP@j`BG(2dAA=cx9XaJD-zu=C0c;hJo*wmXvsZHdbVF8}>XcwX1%
zJgfbic%!M}>#R-#BVmt{Tl>Ee_LBlFqx7>xh`FBm?{F>nwze4k-E^4PEqY$^(c&x-
z?);c1u0Rvo1b5jmNRJXtbIE(;`R0jG;>iA;{Ti^Dn0eR2F-H8HAZny`ED$!87X7+H
z8W0gsS=i4pL2wTA1T?)|BvyKTO~iImfy+;nH(&7w0Z9{CweHJ=*Tu++<#csOy>2af
zeeX{qi2HFYuk<RR5V@!A?Jxyw-yTbwtePgCj{lU}DY`~*{87+I)1$!gh;G3La=!`k
zmgu)T_Upv2(Uw-9>uSImobtN#!Ysk#uI^;-Ne9BQGEOkA3d-eU`Pr*;#7511Yr`^n
z!0sQ<UAL;j(VQdovZ)IMU9o#)G?fuP2)sU3U#<e4kEY(Kxi1kLY}~se+L(YP*6(Ax
zq6#E1y*M;yu|mvIpY&Fzv%vRi3F*d6WvEjYu3&fjLu_2XTVa~S23G50bll>~0Q27A
z?sxtY@|RQF55C+4Y_xKImAgtnjontA!c7N_g;FJd<+z}^MSZDMQwbWVBKpez(Sux$
zZLWDe4@{a)Cj~buLO+v%RrpT^$fl<~_1?}0EUDCB-y@2U_Vt(2N)i)9e&`i#9OH*2
z@v-z`Aw{rZA_lE|Sm5~mZ`2EUf^Z^yu&lO20qA$~HreiF16iqx%%SVTK!1nD$Sz$0
zb{=inq!+UZfXST4=bk7GsOp1PpaN`s+P~$}1Sh<kEtU=%7YE+z9qw26DZu&UP0WK=
zc%XAO<3;EpDFEFK#WF7iXp!P`Owr;4uVdv}PMor!li%|^;G6<D1_wG7z2paBGL*jM
zvK%;QrWTBqD?rBHu?CGGLGV(K@F*5jfU0|*TJ(I1knLv&VUEJEE;#r-s9h1#>z=J1
zNl}FDQb+%*bryxvv4^(x_mrVlHcl;fixT8~3N(LpUL0N(>&qJ@sRCEYnISG6Wr&Zl
zZ-3n@3Bh<acO#1e)ytbQdv>b;$G{k)`hFSE{f~jiuZ{|@>RRW!npI)sW^kqin;Z;X
z@;i5EN)rkPmewJL0&lpdo_7SxL;s#@ZR`m&&{W&>bLTxO)Cz<*@+>NV&Ft;DtOwfQ
zVq^9uT2c$78VA`Tt}4M~<g)vzr#diP*yrL#rw!Z#ePAV{0#ge1oGN#9;f?;*nV$TA
z`Js-fyQ@|ewwcf6UJlTM$08huZ$|4uReeJJ8#fB5>qt2M<j{v~XRYBaw+*1Fis$<H
zfI2LloO4q=rVo>|LCD@~1P5QuzA|*y02_I)Qzy>pga7%{{b%(}p(XNE@2ONx&@Z_s
zqM)Y_-bJ$Zm3ii%cPT%o`jHmoxJbBp#p%H_m)yJFYydTxp}$_5&>*4eolRY&F0|R+
z{^F`_2~0oE=e$2l1Fsz^!Z$>9K=t08W}2lHoH|^kcQ}p)BUev9w%JRAD#pdWXH;v@
z9(kXVae@Z7+k`2#|MtAPZ)8)#q&2LG-dpUEr-8GUtb$#DDzvN|{CxAY4ZKcmEq?5*
z1z%p6rR-W$fV~%1&geGVK>ylZU3q3rP&>=-zg<TLWQRPaTff_YR@e*4f<P)vo%p(|
zc|aHraK6==?Y05BExhhWb16VaaS(8d;fAK)ZS;A!ZQ!Dfx#Xt;Rj?2@$$BP24=syv
ztQzJva3MzTYE-f^tZvLE$oqXK606#ErJAkb+pnl%!5~G*U-)=)#%F*`QsS=(wz7tm
z4QkOvXL-=M6Zhx0(h?c!$MR6-nH6+h(z{${C=0`D>#i)(^!V+Nbwi<y6&%Q4j?D9w
zgl>-RX$3kK9An)4!Y<Ad%&Dn*d5NNM?jBDWmkB$HNv3`n`U7y~+eCu#iXe<D4R7~3
z!GXn;g6juP0#Hw=A1J-g2R9P0@ACS<iK)jW^h$aN5Zk4)qg|E@rp?&Gs5xB7md^Gm
zwATXUKef8QxWWn^1HPLnb6l9;{Da5hyE)i3;f<*O7=ZJ2GXvWK7xqeZ=cLn{!wU%=
z<LQDw#KpN>FL=d;(SF>wx>d~}OkJmC<nSEvMJi*XEr1Iz@ZMAq_cR5I9e+00Esqgx
z1y4I?dAQK`<adi}X(o`#?RItka1XIAAAD}Dj1xlxWj{E4F@}?Mcelxn+$WO^uK!*+
zz=<{wW!o~;jbW2y#Ad!nz2wCwc6obMIWgdzOYhrABVY`PR@`%Flq@<d|K&0}CsxSs
zWpx@bgw3h-^*335k@+1%<2oFixPAGOSDv*Y+=l;^tp1uM?RIy6o1<}J<%zUy|2;K;
z`ISs%o~T7~%W-|Tqvttsa;U1*Q^o)s1?CeJKCY0LsFvJ`vz+J`bnAnDsy=9C+q^2C
zTO*H4ey6S`a$%)a=k53W|9s|hY>emo2HEPkFKA{jH~ufmcw90?55%4)2)FK|N2S{Q
zquD!oP)~3qn@vg&#;Y5&I!Oks@QV5_V9txb0^jsz7V5%tPGZhOnhEp0<8$|q@#2Li
zmG>shb)njS+jh$cW=s(bH0&whL-81WS%F?1@Qp9;6dGYc;lnDfT37i|#y)|2ONb8q
zIJj&tw37{Quel~0g$ZD1*}&Z<2^~<e@o0c|>^Mh@^6k7Ph|Qax)qQKy27|{&s|OEo
zAbb3y(_`gAINDYpyBwws?)En~OR;fbhp}%**qSgN&z-fsq^}JT$;TcIH*(|G%u??-
zA5mm_TI|EIOoO7U`MS)myy(-XxL<Ts42KL_dW~MwAh&;A(8q}nsec+RSYsqGH5_wV
z(rD0ZmhQu`j~_FN%(Er7O5vdge$?y`8oY_2l%9?dKx0oWug{t?$g`7ZF7c*;-T@AS
zxo3jtS+w@B>b5NQJi$~s4;ttk&Q-2i7sAOjE=z|ZITY%foYe88LBDJn(d{LITeR(t
zJZP84%J8CShX5MPpKD*__$Z3g)}McjZYW^Pja%k3i8L5|+ORb2Cyvo&$F}BJDB(D`
z>$Wt};F)GZS~!m+-o8{W`Z7itH_7y^r|@Y**n0}cxppaZel^)}__GRr-L^emDo`70
z%~VhP$d$nc%~1a~9W|6VXWyYbt_^Xl3(-7HvUp_7ohBVi!Nh0P!+ZbrM2PKMw*H?S
z=A`(Kx_?&31n)>89R*$BmS%tQrbQk(Yn?Zn$Y`MKXjWg<gf6)1+OS#oD4^@jbxWsh
zn%EbjrGM_N9$d+^5-k3vh#AG+^z)ut*t=b()vQ$?YCau&=ryH;6~_yXy2#S-X2Pwi
zwh;rMU-f^rG^32PprtUGP#WfqomK7>HiF}4U!4k`RKbzfO4~2RG#ne<TN1a=81iW9
zP7d!?vALe?*;`LT!#D5qdY_p<kQHa=l?Q4l#P1Mf`k02N#k-361k9jpzV#7@Cj}n`
zlu5Yz(NMc9_O;_Fb5KfL^PTufK`F}C1E(gnQ1JM8aYm~JY>AW%&)cPrjyD*aR|+-J
zqM$I|iXA}u_>nzXsp^<4AxMl0X(0c{p12)30JJK-JqPmCu|nCdeVe{I{(N~-sYt;R
z>P!wG<3)AMV0PjpMAYyM>wmI^NtST_Kr)x9nmWcc6)HEsRmOM63I^{_Sb}_^gJ<MD
z3d+2pRzE+Yh%yTnb-XH8Kv?I#Ui+bjVg@@$RoCTkt%v^cJqIgD)WO<qTxwY16TN4L
zg$#P_|K+aiW(CDp5A|DesG<m=8Om8Hj&w&xoP4)f0o~-u!r&=ooImEtx^h7nv%M=P
zzA0NlCA)RtOr;V=w_g2n?=e5d<T)IRo3jKrQN0}vrxo$#sHwBqb#Cl>8)zF-Y6%Ws
zUi`0GO#!E`tH`82V8f2>6w#jtEunhwV-EipITT%0oSS^Wi04P>iZZz@Avkt@&^1{W
zP2UFjpJd)3&)jx)kShfkb=JA$mM@L<LNA{%?p`Jb+y!(CTmU>Y<Kl)v5{<q`e;AdS
zBQJ}WD$ac-;AGGiiuJM>COXINR`L2p9(kS@@>`GqS=++Ou6H6Bs`Dp0sA`;anX%wM
z;bZ}&P0G#Z-wWYx8!wBGt0N>W>w4_kHFGH9IQ($wj{tfl6e{lS86sO1vrWsJ&7ibu
z|Ctd-evI;a5ue2{M9$SJ)$HIfgEii=Xx>I%Om#Tn(`_?E78KUFY~OAQ4BjH$W^LSf
z<DL5LIp1MY=-{uexjQCM=UTXUU=JrQ|GByLpV=tce5=08<CifAsh!qVrftG-we5~Y
zcgIL~=V|||*2a*#Yq=!Pfep(iW9HpLCdo-^iQ4HqM$i$N^R4y)3vwhp<cN9rliZf)
z9mv0C2z_@XeT>YRu`%`)J9EMeX=;<K?BHbxMES7TFHR=({Ofnu_V_G$*CgpJW0L{+
z*R2)w^D^Sh*MZ|p-t*+)(4qUPx&|QO!D?(_%YcCojwbg6ERsCorA&Fb`e5Ne>rQ=0
zk3o4kF4D=%WUQvU!y!?9P?xyk@=}`~3v5rHckfyyLvyY6dM4_@Pm{6q@56NX=-7O(
zu<Bp(Z^=pV3*35OEX_;Hsiwo6xm<;zj15vN>0{}ecwI1&l}!5Zj1DvG7K$T<>2a5s
z@2s(qE?f?sV(x3BLr&eW8^(bQD3#M*_C8w&dga*NcCymryK84oe;Z)L$gd`jcd0rM
zN=bjS)r%hQx-2lT9%jZa{{;Qwm)fwEkG)Q&haTrHTM3<EWX0<|OAW$q+93beVEXD2
z1}qLYYBzq#hN2g0r52`Xu<dfe+h{RHjB&V#@#&k8)OzU>7*B(qA0MkPj5A_qynW?#
z3Mcx1?5U{Lr9tG^pdjH7Oek^o!!4%jf1D*RZc?k(f}0$4J}}ITvU3hQ+^+EA7q7mP
z(IQ$<E91Fl!pDkVD#9lh>iMuKv-On2MNL@t4<5Sa!-kD7Y6sTD1@O6iPOsyF28=Rl
z-JI)T#{(hjXOnIUqQedok>oQPFmbrv?fgj&d|?&DI4&cMy=R7hxwC0N@}(?iUtKO7
zK2(;b*(HJnCqF%ADxiY6V{W#r91pq=ne2<r6T^y}eEn^nRPYv)v{uaKML~|&YV=tW
zs5gdXYI0OyS5|<xulX>|$MfL9Dk&76UyB=EQwLUE%d#m30o)n6w_ami26uJ`1giX2
zhv$d(;P<_Pc)@n7QK|kv-f5XVS)rps%cHRTP5*rN!T!<0<BRebzfk<AQ;Q0YHj&gQ
zUlG*R8RB?3pn&q<ZB8ddQo%L6*1}0t4A1)Ck!IemgpS6X%`vM~c#`%?lyO2Fi(Ioa
zKJ_T$mh0h%Pv&Sq7N6@<+eb;f7O+Pl>xe3v9ea4fHCPh{+Yd|_j!9$Yu;+#IEEN2@
zQPX-fQVSwf-oFmNCW}}8lq6dhsw2Nh#f9)gG~lgE;vD+NX>aDfHJ)u6D7EQM#W_`N
zaJ;VmnW0}E&0|zS>$@g4X0V?A#H|BC$?`RBf{J*5waNRuJ`J;uexRv{=>or)n$xL&
zb04qqGWc(dhK&ZJDg0aXz$?L&Zaq;M-!Ry<R!3^1<bcg0N2We(7vZ{pt4#$>`siX3
z*R*kO7AZW=V+c8C3JTlTRk3kfMBh7S9kg2%HjBA$1pTVzcKf6$*!FiV`_3sHEc5>Q
zJI&Dq1X~KKbrsdI`b_-Xs<#flPB+_pirEaB{n(<vuu}0)A$w9TzYgXK9gW*kZ~hNp
zT8mRi#j~&aE;e4(#*m~|sVgA_5Eqg|E^pSrJ%W*TrPVZ)jCf*h8w;>t<*qT7tbuk0
zA#MK0w9sLX-v9P&wgju;jtRj$4RoM=Ui4d`B3D9yo!OKnh?;z@Hwn_fxasK_H$w`>
zhi#L<Q&x~<+LOq(K}B)4*gd`GDkzb<>hIiV1%nPj#m$aX+&;(=@mp09)A9=*X-Hdx
z__x^Krrzqf>>$n>FDQq?M+Eb(64oGF;yGvz6cl)7<KUwwi5Bn6n9ac&RyV7Bvsh5Y
z$@-ZP<7{CRQWkE%tzZo@0rb(2VpQ<aZFBAGQG6I_cIs~1Pb)ZIkn3g4q>R+kWrkOb
zn=sm<iXlAL3K|U#G)Dv~BG=3q!K%lAI|BGpx7k}kNlL(9w@>ou`^O_!)MANzW_74D
zbJ!9Z@4h;C$65~IaNP-`ujAy8?%s#SA(mhy|7(dMKn5lM92=@T&`v%*VfNC4$r9`&
z)Sh<*N@C2q)vtq;CSv3MD$9igfTSO%|C`AW!}o;vt?L;Bgl5lY^-M{Cm+nnD&eOt}
zuJG2yW%fH^e&R%%<W2%4qM93;f&@|UnnwBf^B;s*(YbF)r!2rE&*A)G6@Ik-=$}1*
z;}`Kc<@u$ibaUW7vv1@D7cWkGj7{DBGEFEl>4zO`FoQ$Kna|ibaANu#^oFfZ6H9q|
z7R8IE;ID+4w2y2kHsw>3VmeLi+BJHnRLd0PmontqkQsS-DK&fE|0FCo;;!1AFag&$
zo6k3_GoZM=;NQySA4I~1jd$7=#-Nd?vp|ib!~aCW1kQC&5Za#mBq{X9a70<x^zQ%G
zNSm1X&}UI&L{>#o*|+UR(EH0ixN&)zq(!Q!vZ{^}wX{nwISLJ7HBflw(1QiC<-vz1
zQ!PWp!{(13UM&B5)^+wTk>o6?Cs%*EA$*WHx{)t-+s^=YRf!b8G@T*M^cMZIZ}b!D
zI<wEuwdsQ#OM3d0^c2~#n~}n_|08ihdgND!p*~~>WhiC)jFa12i1yQg-9#UMx8k9P
zdaxjHKQBsSluVA=kjZc9BzUfxv~Y;&LDX{i51XJNQglstTk5+O!a!>5MfN|gaV*yb
zi^&a=&6-MS$tewl;E9>|Wp-Vt%3xtB+TBkke8q|O$8|)kL8H`iv<?VN2Q<VBd?Lrj
z1-A|GJtMAp?CXzU*8y+c+;(%%4`k{l`6a*D`$VS8{Kb<uwZSG;$MAu4H%T`<IB2|N
zOOSbe*=54o;PUy)3ofU3WbB<iAx;H%$>H#;p49s^`1>vS?zhjKWM_S`Z<t33*)mz9
z-AJQ>Jhj|^F0_N3S*NJjELD;L1p=4fU(o`aKrf|_t!<=_{NJX{P9*90Dc+6osU}R(
z39i-Vye0GYK5-K>eN84Ejvbus*MP6*ErY7Qx00%trR+Ew8cE{qyVqfS8qn7+S$#OA
zm85(yrI|UkkW!ozqQP6KaLvE3Htl{ZY25oEw{o<NTv1K%tcz8LwSWeDRo1uULc_wE
zZfhrL9@n{>)<J=&#BvR+drSUy$J3(E-;swt8&irzDX__vr@yGajTBhDz8+Q8O`02|
ztMK}%0egkKU9CU|DSSsoBIEN1^3%oq-)7aS&=^!#%d@MKT;&%q%#{B`4jgz8B*?D{
zEMICn)Ev9W8EZWW;grwh8RzzivjHklZ0LP~&F>v~Fy>3@PvfuTi$_j>TsxFum!4g>
zOyPTy0<M)taf76d7p?J<o-&kNV{Zr*=^<&FNj)Z#L*zbgXZra&N?@P;ytSnC1L=K4
z@P&TYFnO&#Q8u1K377?hSk}&cB<0|FQ(f^WsgTceg*dMWExYzTRSWAQgN`%BcGZrN
zW7@Q5v$G1Yxg(wRaY;YfSD3;)@ppn$Ji6~;y1xR5p1+!(r8q#IYsf#wa(0Rg%MX)R
zoRkN9&3j@KKL^PTRRPszy=gLTO^9;+xIFOBBv=Op43QT*H*K|${7sG$`q!Ff<lx5A
zTev4OLPq#Tlt?trlG{99MfRSRgI8aY_3r;1C7<5o3^<)NPnunx%X!Hn2a%a`ymAX;
zB*k!{#58Y_WK{V?My1I@h43L2cil<yrcu#}pF_*!?H&BimQ-2r3T3hqd^$z8kBT_m
z+5d+;7dKME7b^pNXDi)59-k&9JpJ#oNUxItuE)BW8>FFj&^_>{@o#dgK`7~zOov_a
zyFWCrNQ1Ij<T<{vS#oRbsY5Q-45(+nf4Y0S6qFsy2y1&aPipqj`KQV<Aq#VP^KiZ-
z)bI2P7U)<cZ%Q7rP|;?=isdGu4t7ZpNa@kuFStT(1jcs7hOyzbm&2mPArf%m*-Cj`
z+8=UVXu<tG0|%}Ja)b@fh{N`92Z<4{b#jqMBsH&-3uPI%PRNIeLy5AYzSzHf+hKMp
zJS&(NjU)?2ZwiWo!s%Ow4+JpajSEMEwKe$BHz&5Jv0e<qMQ%K`aAm?B(X6gE0)m)3
zhn<^Z#Gt8v!#K*11<gXFKX0W9<H*t9s_sX`faX);9QK?IJ@j49FNTYv!@H`tG5_?o
z9p}XxtU3NY6Q>!WO%hltEBY<@rWkPD^2-en;>NmC(OVZjO5uai6_ID(#Nehi!_rhb
zFP^oRDGmsc#beE5-FJ?OgW0oQlXuSi_}>`^N`;a<ZfY}Z?$VV2=kB{TuXO}*r|D(B
zmOl#E(3r5j%U%*LsQ;|xwH3yF*9y$)R+O-BS8@5_8Y%ex@>zBFHBr3Tbbs`oj4EE7
zEqL5>TLyLpy!ri#Q37p4<!{LNQ&5T3Uj5RVEbQ6IEBdKi3din6ERBAqqUi*GaM>Ao
zxZi51&Fn0TNiyRb3`eyvbNlFz_YR7%J7Laj|9~9EJXU?i&8&@OCic1Omz3eDCu^HT
ztOBlwk38+zrGr2B_wD!AP=lx1Wt!(4l`w6%>-njNy6DnRrPp$&!v6sP0RR6Km}xxJ
zZx_bx`!<8IZ)0D=j2Sy~ji^W^Dn<22N`z=br6Ogi?2#qPTH2&d5ff=4vZYdy2qlp%
zYo2-Do)`D;bD!Ti*L8jGP;!37A2n@O?5+U2jy@VoM6bdwh1(btb&GFbbL+Amdj)-H
zU!b#uZE`O^BvbL(jcER6SdYc8I<@x7H&Yh5YE<xQEDbw+edGii3|O0TE@dB%He*F_
zPO79BnBmV}<)@$G4OvG#Pp{^CX~x=daCiD$UQ4_Uf006#G-e$cY1~_Q*^IR&zfank
z!v;Gf<2$?SjallOF6B-BHDztz&o{D<6Y%`3=~KFn!fO5$`u<Z3o%Q<mi(4vTOf-3(
zm}n@au*!5K*8bI?v7A^M5-VHnph9r{Pojy!+MP6D`IVo_YW*_iy>@XWZdQI1=&hiz
zF6|b2x<kc?b>ZVrF2_-O9H5J~mG7Xis^7&sb3SI@`{31q_ACb^28S9QXf|eD4BhC`
zr=h{J8~U}z;-3RpD|9V3@*A__ZvS(;?WV+f%zGuiLU9$E`<`fS&@yC&NFKH87nEe_
zWw`R5UUWeE_qC@?r}bG$pQm#>61iEKJ4y!jU2{MkbzA=GWL;MI$CBRn7N2XwVhgFA
z1`a@~auP#Co0U3Vd~j{~BxBN?f3JLoJzT;E!cC5AuoC<Sx+QXXK#lSY*fO>fhD4%k
z=C~S*XZ^tBvsn=w(XUuh#9WDV(JJm!qspwZ+SNYexdd2#;8`9{vqO0Zzw{-FJS*c>
zbah;}B*NpS-2eP!VrS~-LuFOctQhgHwL~vz94RdgdgjQ)>&9CSx#<L!97p+@;LRkc
zpEFdSy9@k!!{lp@5@zMx%XE1Cg@m5zd#0uuz^=o?RrAq2EDNK~LLM0z+$ytK*$xIY
zRDXzEc3rHc3f(;TLQV$FS%z1Poo%5iadD!rd%X63X##U}j)Zet_*2yVZE*XoEPYn5
zyEdn$Kg#GO34!%gYlRGJq|?X#-n!nvSYif8H(VgWeeUA5xHc=4YwpxKy!f5bbeVrZ
z$eo1Vh|ug=IV&g(&I{THOfa&l*6b70BjJI4UbkAXCCd7}&#OqzF-ij0Er^JaaQ<VM
z^2i$toTY3M`9xS|47*ZC-gA(k+jsHaKDq^}7*}5#GPn>Q+H+1vm;|%nJ-R<i%yHxL
zF8Q=aJlNOTxv}4XgyFWw$2wHa5k3&lk-o@>>|Gx<*7=bjU@>3GDlh|wE934L89}^$
zr>;V;BEgEf>gitgzTER;1#Tb;BcSDEg_N!gf}gu=z53J?w*QtiIj2Nmb*;Zm`>qT`
zo&WH8ZZSo}<J2VQ=VIV1i3~j9CJW_PaL${dL$p~!;FrAwq(TS~kdVW7{eOk=d2}2I
zF)`n$Nr0eT(3_k=IpkfNT->mpjs=?sy8L`ZtXJUVnCp^<U_(Tq86O?z-NLsY`9TEK
z$)c~mD!{mO`DE4$8s1IX{jF=0#Qo=9kJ7o7;32Rs;cF5NxAz}6Yh_6x{=SjR3tMFb
z=Zb8I_n{%LII+O4QW{5t3=+~)R4{kxu(uk62Jy;QO{X4{K<a;e^?0Nz#3oiHuF|4m
z@RU+~MS~1N2I&vqTC2fGATPgImWKDFFX1&`WU<|BHgAZRj8%Q*M`uaw^CN%NJ8;Qk
zYOYn}=6f>qj54=zlWA!5J0+E8qJYZLW#{U0bu1RmeonTefitJD@pY&o8b2F$`Xp)K
zm9NOHKyMl*NJ&Y-)k;YIqA?g3s)_A2&0gCxY49+pjB6ySVDG?7;~Sf_aI@H9FX;;n
z))T%?offKSqiTh<(zT%x9rMD}gpS1qQQ5NJs>s!Oe*ZK<2m3T7&QP-HSc*9^`l3V)
zo~t_jJNk7nyUd!kBbp-S`MD&P7a4oV)H(NSx==DzqVCKwg=_H3rXG29Bn`hJt@O}C
zdhEEPJlzb>1oNEbJJjJ|xU6<`N)Oyz&V~6sW++;kDNv5pKtXSMM|G$^CgV77XJnY;
z$#~~J7n&y8_Rcnac%zT_=OSwIo)(y+T=xF(UK0Y=UswL%Fko-!!qjbDODJw*{=OHi
z1%-}@peup~7zjFh(tg<z*Gl?Ao2IoeVpl`X=-0<k@X9XR4_2so);BB~pbd^&-X|`e
z*GIKc=il??){yy?FrEBL8wJQa-^Z<wU_MWB(`g$V|Kgi>PfQ1EwiyNQb<zW2{)2tU
zI$MnHat>x%>fqkB(b3O7x}Y(Y-f{~v@U^LbMVg}y(%uUkE8nPt=z~US?iCDBC(0el
ztaMO*bol*GMQ!jUCu)8r1BV2b2=)>>SpHHe(buF2%YU^;)xCi18h=9nOKqH5wdqOQ
z9u4%)$M+8=0YOWJZ{F<EM!;J`O2`Zums+YqQrY@;y-hT7@w*m+W6!=0IIV_1mAvQq
z8i4(lrUk+qwJ@FMqCYFGiY@z}+)Zx;qD9myh}Sf6;*IQ=Uja(6O?3S>UI#q3dRQ6r
zTLUBIQ|+r-<?(Z;?3mIWfOR!(K|n_X55w;q?cXg6Uy6l_dosYk(Ia*9R&}gXjlDia
zB_Z!we%72Hkk!$?PxLey?@r#W7qyl`dUitAely@U&GUTW4K*w)SU>*nG!dCQ47-&%
zfW|trH2Zg|*zH{5ATCINez@_%gR>0m-glw*1sA(MC&)?76vy?6E%Ztr26RO`4DEuH
z;r^#VGBjBfJR?gk2aemKO+UBk&38rEh~8gyaYh(Uxk<a4#%#dl!ON3$Kmn;^(?O2U
zgus70$k5lz2AT>tMhr>v5Y_BVd^#iuzC$UibKY8GKfTkWq+J#iw=-vyyxDc~!=yA@
zYoufjmTkH&gPf`)#}N%dglpM<vbt>rxpiIzQaL1KElx)>^aZiX<=@N}6)Wu4cKo^F
znlxUB1u9Mj3gX;+>Vea#mN;Ir-%F}Z3MV(Gw^jEG;@%mr4m$x$sH{o%(3X}$(uPl2
zlmsE<d|v%;`IH4jGMqwX4oQN^@Ct766vp|VYOkc0%+c{E$k%z42uqK~-6NYsz(dHb
zXgO|<Qwq1|q)riWV=6c8&H+&b?|nCXfWsUmLi6nv`b5OaxFmDj6GPYotqf+I8M1yf
ztoI!wpdg(jWG*CuVT|1imoh`@F{zZmMgl}v3c5-)NkBHQAYe<eDLN&jKgm@SaPigU
z`CmB%goS-nQLr+_t2Jrc8tVxV8rX5S{WuZPFUnR6chTYhG9YE_D*>fi7LL5ZlBnXk
zA{=^zjxQpG7bGN!V1+fv|J*Ny0FB6Zmlf$a+<tttaT^hyaZ7Gor={VydHUtZD;h-p
zss3!gPeem=gg{>@39~P)^=psOaM#V$cS2nfIVvs<s=YEGB`Lm*rPE*~S<T5`DvAAi
zkzQMM<>0w3^}o6q6Zj1UZeO-x>wnIl3b9yuSeXnI&efVA^ZJ1K`(Y{6FvA9K&MM%_
zbG_`BDJE#wR(O<JDh-daGyj55D5337kVjXb2|QE3?KVG3g5OQYRj#sZzi4+W`nu5s
zuNYBEjb1WXZ@cFv$1YVI;U6Er%QOLP=kF+MPgxlDmAu%wQVo6|Bj0P<m>_KahDeaV
z9A2Hc(_LUdM&{*(SS<$=^mNQck<Q7ZFT+#ki;_CLBi)H*9wxYYp{1t2RsoNZ+F2{D
zfq_$wnzv7wU{hRv4~tI;ghnfmB%&r{d`1T;6(-P;e%vASpE8aLte2D|Y9af5(3utN
zK8#y)Jg|AGg3X5v2G0_-5xu-qJ$5Y(4(fVJ&+=69up=)%NmK`Z1_@m}_h^uoH%xo_
zpBnz9Y=8-uE|v(#Gptt7(XwFsK~9s5MB^p*k3V%0YW~{n*b_QrMO2LiM#<>>$P#g@
z(*rSz`umXw+b_ngNj?wMA+WqEbv#-h>qBSP9uPHyG)D<{$uSMQjQ`YHq-B5%mgn01
zHZzQ`IgvYOt%)a*lm`~22I%NHnwDB@j)<=2Fv^T39uG8?Ui@c(XDjyBkDj%F*seE;
zy@gu1tuWjyp}hi*ySe8x4_HEH#~yxvJ8f{A%B<*8Sb^O<%imbORuGyGI;!5H4Yxx*
zza2js;H18n(!^G4<hNfEj##OK)`?9{`*s-MT<YeB#!faU5eTj%<m=%2#-i(5*YuHH
z{O_)zi7kG<`{1<vMF%`2X`S;`diW-+?wKIQ05ADf?C_Efep#*-{hFhT_)lIpNbea)
zNXo7-V%N{`Jjp+?K?jEYeteSlz*2ebafwel=sxOVl-i?({e+rlLy17Ma;I=brVegJ
zTNht()r5T;%{Yy%=e_i2y?Qhq3|+fCy1?#hkNO=^qZ#1s9^=8o71~H=`F_%nBqQ+Q
z#`XIMOt4~1%C|{tW7CQ8XOu&#SloQjF;0<*6?Z7G_tL^ccW<kd=SoQbz0q@(EEC@4
zbIZz^nh<h4dLXn>9uZvU?l<!?QIV}Nr(C0fvjr=&4)MvNZ%=z|${=uFdT9H_kLqx;
zuBg8r#m?u!lysA7;2}?FcRhO^%4XZYwlXE*C(skPCl25`+PL%4KQ;W2%)VRbNI;Bc
zuj2=2;Ctk?Ry_$de9I`!jiriXbG!7giZC#xChK`XQx$ra7Q4fDh~TDJ;S;ZT26*I+
z`Fo<3p-}DNFD5F4`;|vV3a4$6jh?NN&5C%`x1vwpTmbEsY0I`dY!R3zaenU#1w0Ab
zW@XUHhYgg?9Ab4gn2fQ?=q+LE#pk+G$1YwR%!)pnrD+4Pto-#itYl%9#%mF4!i)9c
z->X#Ot>H{IPFXcdf{c}%+o3)lG_Rbh%o}CTRmGO<3)RwWUd&J0+r@*pJ9kui-K_AX
z*J<?qbty1~)I;tI@?y5*AoWDGCFHp*P7@wTBFT15WYs}lTu(8bn$fnzK`V(}?O%wn
z+d?KUiSl7@o0no)h6U6YWu*?O6Y=|a{g^}t9}=G?b_@tuV7^#AU*ik`VmqH2X4mjz
zrRg!J!4u}l-#pI!my-bU(d*sxW&!v&`#2BGn!!EW%HYo>3G~E}{dX@4;)4CLX|XUf
z{FE7qlyQ^*fATZ=a3^8d^`Cu|HfM^(ib(4t1PO3kIfxv3D1uLy*LCKfG6iva(zlJ@
z*gicq(z47DLzHKHsE>##1pCIcSuNt2TCkXL9umjZ_Q$?rm+5$Ns%dlMpg2}7CH6&i
zNwDKPsr3_;j?<5OFJ6|CfZfl)-!iWWunlW35^SL%y!x!sc_#@R8SWV+y&<yady9N;
zFbzd%>wdJQOTfsorNH^CBy6J_HE&7N5Ziwsa>b+smQFviz04<#c*oGWw{<3nA@VpL
z-TnVLi{qPTkRUR=J*oVN2?qCjZMi){fMO7bv-<@Z$Q3TxzMz<3CTA?;{TU*JK51{g
zIwp&kOTk+&O;K^8b_B9CNtiYkf4t)-4=JssC$+UySa$hZ7tBbaxO>#wY(@d23)P#4
z)2P_xY8G|3SqfsUfnk+7O6a=(HM~8PiVmX*+cS@)5uLcXe&1FVJYj6>bn~F%QLOG2
z_a`K1+0YM5XQ<+DvhbAqdMe)DbeVQ*mBG&|54!cvsbP<#^FlAXt|n?iIJY1Ry-h`B
z9}~!MeU|6Kxr2(EE|x{#t>mG~J2|ACt`5EXi66d2P$A-M7%Y{dfVkg8t{cS~Y>qK-
zt}LNqz0x=8iFrkgg#F4t_*4_+BJZ@T2H4-d_u!O%m@=Xx>&53jXdyO+t5}t80`2i;
zhY#$Wmhd(8F7LE9=KP+Th-8_-?$fUhp>|b#+a6$FBC3nu%C(D;1RCn^<&^f8sv$(#
zp-5R-535G+Yue<~AZFSgcO#k%M}<ZGAys|UG#wp$YDWjXZ~rY%FLg8oT#R@qZUE~T
zPEMXhI%eHBt_-%-Kw@-6W=_8WUT~)MMK_w_H^&~;F*!}_;|z8)xVQqnTIv^;Zn6XD
zP7Q~nW14t#Jtw14(GaZr{Kx&Tnj`85bHJfW3mjLQu5%tVM7!U3z=t9W*q$Z@(Id2>
z&NSaKmu!gH?yT0JdzOe5d66=sp#!&YL;blBLlEsWt9@TtVa>#tug()4JW#SA{1G!m
zvOu<yUXL}N2<jX?N7IGHj{4TQy(=L6v+nkV-!@p=wCjR-vMw$zabK-EX@F$S>OO%<
zTih%8`{v_oUBn2rnwD+RM^Dhddote{Xj$s7?d#EnqUl>Bfhk>x8V+@?`wz(RE;4!2
ztP2sh4ads7bYQoA(n#eg@P<zL^8KPN$}Xnui!5dP;ZN3NzaSIepPY=8FxN%qpS0nw
zP7Q27e}~`5o(XEI$4cRcIvAEg!u4q~=2a^KT=y~YP}wo+0Z|7ZTe-FFlGIS{uX6xR
zK(fDZ=Se2Um33BhZqx?#;O0L*vC8miJE2U7VnR4H<-+GME#xNo|MyT-0ry=+A6JGl
z@ib#k!J~LhY+mMCddZ&OlHO~V#N3#8A^DXQb6x{Yyz{GXe3rs;%L$^mHWRCY-p_cR
zQHPicHB-fch$rW-ZtNHXW-6;F<Oni$X&!yw)FBS1X@j^BHm8i$4@Y<es$pDvz9g?l
z7{uv!r+U~tva41$RfL_xdMi&CbX*X?ymt;|P#)Nq)_r~VGi9{Juh$Luz>A+7U2hnr
zGf+42w`6y#A_VUbUC626MgetGb>gTkg#D<utN*h3J;O9YK%5IbF8Kip_O>{@=x}S=
zQVvokLf7y1a^O<M`Q+>@8^}l){>;vm!HYhs*<%t13Jo|WL&mJ(^8W4>H)Rr@96QI^
zyKb4GDL4G$?ka1nE86oP&oe2E7lj`76<B60=`rk9T(N?i5o2I1MiOE|qvzJHUS@=R
zQlOkzw8V$lg^n(NBGz<}maqO@W_<oRv>?6R5;0xn#?t!<xbGOIS{TEDCZ=rvs#*(Z
z?TQ+xPLn``Ntr=_87FAh145j&EMT6cq~LK&9MAM&Su4f`JF1_ZYl=Bq%;^(rgT(MP
z;m)l<K5n?FYX?NIIf8Hh-?n?cqHvk-KE6?b2fH)&Wq&?shIaGhN7Kn75G$3qv2rah
z^ye)0q>Y%unA*iWHztgX(WqmS>3pc4|MK#_pDCjJIVGh}2qW3!f>Y~Xew<FNRNFR8
z#}ED@@x7M9xY1^kI(ASHJ7=xF<pj~O^3y4qOtLU8ysvbg5fsK-m*!u&e`#pydHiyY
zCXCsm`8Rl~MDUg8*te*&G-y8<d2Spc42A1iBZYBdxDx;9zc6_kEIc30YIg`jM<{XH
z!%_mPZ(d+j+%v(oC?0tkcAn_o_L%P;2pBFJ8V_+bK~h>`-6>H~Ow?KiU)V~7!cFI)
z#ThE-nR^(<1EQE*j{0VDS`xv>i&xydN(JAN6y3B>3?Z$i^2_Z1*_GX`-0w<-vtNkl
z0WJvy%e5A)Cz0@ntnNS(rXu}asZD>W1cC_f;!j4geP_SjjyH`Itg++yvEG}2kUhhj
z`*`Hg+Pmq<l~fASTYU!fjEGoHjIX(NRUSp-<*N3(D0n)!WV=L=#GBgJr+c?5g7e|Z
zj3^rlsxEH0zgb8Mt=zL!F8a!Nou^oBL#Ducsi&+#RvP|8Ee9(_RPnQEsU?C)fo0(Q
z!7dvTwoYtIzCuugB9nG(lQ;#hpHae>B4m(TQtn66Amf<7r;w051qW)Wvlp6W@$=#D
znvj+1I1(ddK50Thmx!duHFJ5qyga-;IamYV6_2Y$@1&r$@?NG!l>&@6{jq*gsENdr
zL&erP6dbAv<~y-T2`)RI7d`r_g<Zn(q4!28Fkjl)`hZ&nH-dfFG08g6dfM~u&_*i$
zh<TjLVefTb=EZZKzPd>C|C>GEOht~<p*YX=YIqagxt^;)4=e7v&ZhX7!1+%2+60hc
zabB=n<DEW;1tCs05;R1oCht)+SBJX)cm0AH1BkOe$0fa|A<x`lD3Ypy_8{h@`@a>4
zjVShxuB4++;q$pT15IT9ZrSS8Z-^7Ti@c5%rs%oQt#*p6h2tBR4*kqA!i&q#b=B+5
z(DM9zwv2=}76+8;8REt$E8F2lA2x^o{8g{0acvy-t$+T}*ckWrrbz@TSwdg(t>}ds
z9hf`LJLMZ1Blq>Ggzz0!@ZixX>o}x~IpWTCS6*WX`tv^haMc>>Txn7hqI&rEpS8{W
zZX?8I$u~;&+aRWHRPSw!9vl=;hern+qGgA%t)LtOm6OJtKRWe5=9cC&Wb@Im?!LeZ
zC7@*4)Vp9_4{i|y2DKUb`0c*hSn?|1r;r&CH>ro`T0*4Em%6z7xcs$@B%2pz#^+*d
z^zdPRnn8Z4jjT3h&i)W4zNHR67v8Ri+&Meli6Tw>NBj_UtdfaWwr`*PWBZh1Lxc8}
zP<4!L-0D3v%)~9#e&GrkUDO<S&7E(f25q0y(MDW$xU9T=<#ih!G^@S~cQ95)XS0E@
zBd;B{ZU215%|RPeFLHEGD$2w4M9k4&lS~}Z_ndl6)56)~Nu_0*NN@|?pybuc#9(%U
zqaK@w&9n0rvxkUCf1`iN_A(RC%P0AN^sD39kKH~A)#7kBORUEZCPcP9jT*f}#%%xA
z`r>dQbpN+mPlA14uXVZcw~nbn{mHSEZ=8IHKPD)w`3(5f^~!y2tt!^M;tDI?zy)zV
zwIk*Jz^3AFW-X4&sMdSYTzTyu!!Cyslp@CV>zeL_OOlG{Z=;u${hMQmvm{;?`!F!T
zTDWq0UJk+*+eLDZ&oFkn%B}P&v4wP(wU;-SEWTTYF?^OL84AC1)>;0v!6H*Z`{fD}
z_R3YNaP632Sk>+$78u#!7PtNevlCKC5e;*ki1@=uDjLnZ8fJ}B-KkH`Q$*;u$q>KM
z|1f;dTsS*fXNA4xWif+E1bnu=RI7624})XN!fI)v6~aZH>TYn6054DD?}zFWj4eDp
zKep_)giBkIK*L@!bgegkuw8$Wu{9^Aa;Vw@eFBmF9*0FBU)8*589BwsExEM$tE>g2
z^SCxi)(gR&`7-O8$PB~Lc09x>!W?GmTC@J^1@W<jSMtN#zl=(0`(&*iGZainJ$fZ6
zfdA@TbYg1f7*4zO)`qM$gZFg*`Vw(|6i+L3=5;MFVw+j+Y7b075cqDJXUhj=ze6v0
ziT@bGdyhOa(Kdy+;N5@GmwEA=JC#qxoCCHdeh!6f?nw4|>%UKz7ncfSKIDXRf_^-_
zJ6M(ujdKcS)xA8J;vRV*(!_;F%od}pOd1-zx7rxi@PJ{TB9&mw1OJPc^K=zxSby+8
z!}dBJ=st-4l2^tH^^*2ZgF+L$-1&4H@fQy`f7L9STk%8crc?3*BNJFm?;5Kx=Y{Xo
z)ZN?x0erh{9sGqwg}&~BdRr+k>{dS~dt4WS_JM?t4O^%fojnoVXU>P^NK%RYc@ZS;
zf2ErBhl0U0>w;S&d`Q1zYPK&~3|SwOtInlRpyhencO#3<d&ljc#BG<ro}YsaUrZ^8
z*w)cx_DBGA+AWOE7y@dH-#q%<XN<@rGkav(1i^Q{{8WD(5dxmUJHMwIgTLS#ev1hs
zflR4Ml9ht@Ni&5#PR0m8k=9bE2qv_SEj*5uMw*A|zCHnC)PBzts9O-l(}bZhJE9Dh
z_CF5nyKDqPy^!i3cCI)y!4bmoL>7Z>{dI|!Mp&?VLo;oVfMn^tb9YY3!`a($Mc@xZ
z_%I$G%w_YQfKEm9H$O#i)5trv-!w!<pxa6F??lMYRi*w2QAVBK4ZVajhDg7BDp^iW
z3LAWt8$8ylqPDtZC^*az3pHnk9rj40{pi)mkB8MD%YPu_eT*S^Hi!Sc*-XNz=8NGi
zx5?1N1LfgzL$s282qYI-D2C_A7tX4q?QE;P!m=R@;(BF-f6HONd*^C{|G&4;W}e#|
zG=gDq%GsJy1+>i?NS=ADg-UY`=3RCllC!=9|2nRO&K-Ix-}QB{Q6{`_FxVI$%mP<D
z3{=727JZ{b#kxodw8-51+Ze*zm1C=)u(_^wELTZQAJ!srZ#TqKU}i(v?$W4+&F<dw
zewPgJesJ%;XeJdWm)53Q^^-B@m@n?mZHUDP{^?j*6KrU#I5*Fwfy>+*4|{Djf_r&X
zovSzvWc|EXYqc~X)4KPN?J8qPJh(oztVzdETA;eBqZUHeG&GdIHpc0>mjlV3rdTLG
zvNL^;Hk8jSbWa;m;F$P~qxhB?u9R1~&xY%OvuOJ8t^*WAm)SX4vG+Rn>%7%)gf3dn
z=lm;4pkPCZidg(bOSIS#)*ka=>%S*IX~RJZ0*fMO6H3;=*V`lU`uf<gJ4Rxc4h5q;
z%J#<BY_MLW=%ZkZJ_;5d1k98gL%R2Tb-6ABhqLQ^j;%Dn{{R30|Njh^cR1C56vuI`
zjO>~1n%CuCdw-8hgGwS~WJFT7w3L>jWQ53;LUwjPQTG$kFp`yIg^27;=;yEVJm)!o
zob{aZel0R`0_B$qm^8lYOgIdXBb6QQ6s81yy;hs|1(YFfGRm-W5kP65g8TD0C8#UE
z-^aN`fKwLc8|?RtU~pXWF_VW9oOVrj;&`9{>cYxImmMRRYtm4+qEUhe+h52ov$Ejq
za4+e(0|k2eoqu|{5n%tP$E7_wc=$7Io@Ja$fpbR&gmmK-fyMt8pUWLdaC6@ZAiSYK
z^5(=*_XGu4^k^Eq_F5EHBlVW^>M8Iz!AfG%Umk=9n?+S>1YwO5VMZ*Wz>5smv$;e$
zI3#%L4WB447#mtOuic@5Fk@KNk4_oD+kQTWU*do!?(fH5n^3^<Yfx#G7arzP_RxMR
zXNJW5GfXCHM&NdXZtwJ#6f~av^NDhk4)(q+XVcFx0+~vd&zGYm!6xJ6OmOxlR(T*z
zZ(iSMH*W!MH(3d=jGzjuYcFC$y50A*djKLAovlyDi$Zk92N|Ns1oqs=Ymc`#044P;
zUDdiU=wCN%4Qu<3$)Le!ZnOYv)-P>K?+AkN=D?5oj7H4QUgk3k5rZTb3#K3qei+{8
zX~z^5jCpIhH|E<J!ep6_WEc-GEDCTaXC?ec{k<}x!xCWtq)NU}E-`LMa&-5Zly0B~
zJ+kZMq3Xl7^{sroH78_m-dnd_d{3SDNY8R?Ll2a%EJybFv4f;bC$mvgJ+<iZANPOS
zdXN$L^ke@677%QX<?d&xrTPSvJkh?P3+F|}e>g8QL23-s$%R)hsP+4CUuHk*fTEUc
zU|RtLOuZsFcdMjg7Sk22bV54tdYSzuIS&WHnKbDM>$O-0wIj*QR~wG~W|;7ppoP+*
z>d2@|pD<bV7{4bUwcu?Yd^qAp1B*M~=D9y~U?O&vuWID9pxntlypgzr9a-moX3G2>
z`)kVT6Z%jSj;wpUYTW#bt#1BQ<MAEBm`954eOl6hM+sV|a`BtkBlpZ#2iHb0qiLn*
z?k*Y-$+>4k`uRF0Mo>D|LK(*zKk{3WzpBII=dJv&eb=yD)^XMT<Voy2%rkNxP=_}f
zNxuqitzuJ~rsg?2)7br`x{a~7YEVFwwV~}?!IrC^`UL9EW1l9EuRhUJ1D@6<^%$2G
zY!$O*Zl_tqgii93c<WSQUfb!yZ~O{&J!<3jrS2sxea1uT5U2wEpC6fyA}iQtw|Mhd
z?FuGo5E?4;kqqBh!E(-c1tZcFYyW$-hT(6WIGSZehGWe$susyBm~-A6X~wn<jHwz8
zR*aCq?GP=0r|>G~{*ZIv5#1JcDB_fs-9-|d-Afzc`C%2~{qC+GX}^OdHa|NS%Sr;u
zT#ML~j5UmEw!@R*LjzoQ4JF>0sX&gB)#Hm#*D+0IVI<y23)xJ4-B0f+L(u*QdvjYi
zuynTV#m|~J@Maa)8vZ~8Oex;cQtmG%IkDu`*+>sd#+&#;E+X*V<+M_GxrGVZfBlku
zkr7<tvSbY0lz_Y5Lh01m9c;kSi8^k|3~a%RJY#hP@KpGD?zjRC;8X@)-#WkoDQ{0$
z<HQNDCi!ebP?r{B)Z+Zo{n+4}Q%0dcgd&h6R~kmn(!r}r|K*}jdm*RdWNqz^0(5f)
z*|t^U04&&w%ZoT+UE9XBI79)Q=o6nBNHc&6QPORgiyK_G9hW<q6adwDeebGbgda~6
z*|rjSAosB3qk|dpAgCLUuKF=UO#<#*ogp8jZ7kijqsYSv{_9!Ctyq94<-dQ5RRFeE
z|I%ix$bso<S;8B4Hh687xnV^s1jl|R(680VK`wbz@5GC}psR?TsFmCYn+<P6pT^2T
zM5E5CR}3d;wa(ep`H8~EpO;GvZpwlB??Iu*6I@{G>(Wv%BMyi9zK@LGlY`mz{&0RL
z9<c3`)hIWYgnl*jS}R`;#>aBm2bOtZi9R8K1xbNf^M;h;j2wJAu~1i0%n#<j+@hDw
z@F3~qIwEW<530*qv?>vTAZ&2p{I^*dNWE>P_2Z8`l)9&GJa{M!HEKJcQXmI?9ls5q
zl_`MRZ^?pd<svXKbpGJMU<KIEr(K16sR*iV2fAthiGh3b;nLss1StCT#h&I50mkIt
zS#bU*0USe09kd6C@cJm?YxX9>Mg7#+W?Ctr{7#lStfm6>90eRcdMa?jct*C-UK+ZQ
z$n3^L5=5f8_@^Z#xGg$K&xi0(T^m=VdVvh>oV{L8|Byk?;%|B(Q5FKmZmbC&RE2;4
zU5@0mQG<t*$)$=Ja=^%eGVnX9@Ok9m-)A%GyK#(1n^_bfNX1n4LzEf}c_$2hd8rAD
zZ3$=Wy%fP|HS+NClo|}GJvwFfL>p?^Ds^qD3BX-6a&eYL9Xz@}bta_hLfYBia+*Jt
zfSUgH^YJk?5NR}H=r7fW3uhL;j|>wbX7ytFL4P%Psxh}C^U)Cagq!y}6(|G!)ycH~
z3RS^i%=8SiCxE$Nl6LHF{oEXJE+$E2po5iQS_dPTb`+>l2vPxo#q40DPXb})9L8U2
z6i93!XL@_6K=zVsiHI2y+~j<&R7_Feb6cpycP1714^Q{fr(OZxY(8;yylM<TzZ!Dh
zwo`^KV`rUaCRyk^-ydh!Zwv$J+m7@uL{KNZuV6Ehf*j3Z;RS9Ju;~-mR*_Z$7t;jJ
zOERJ`*Jd}xBW?o2JdU>y7c0W_<AA2mTKupT{7Pt?-ULhwB%e`s`<bqGQj^lo0cDMQ
zvpGH+L#OQWXxRZd2xtr==H=7F>l<uYe}jy{|I)lMr=JYm&x#wEC#_=ms4;1IHe)av
z6&BcvmIj*Ja_vKNz1U1v#e?(&3RoTu`Bhsg2`*nhqL`LGDs4@=Zz4Yhs#kT>CTheX
zTdbiZad@5@zTV7Z6K@3D>=(zmHAEonw&n_b);cwc_S%#*hY?t%!}pT|f)KU%RVLxs
z4pm4z__#|XfU1WIHebUB3*K)fEu?8ttYIeU1sg#7vil{|FWeBU8~E1ShYpQaIBw5M
zVo)S*!hA!V6R6DhjX?>ABKDXYRj3&P!O6=x)S4COUB?wTZsSn!{BJwDV+PP0TpW`;
z#0W2*s3t4i$03uK?y6re=)*z<3-je(I{4#dM^doEp=8!DtJW+%XtnQizIkB>JM~Ae
z#hD3*f?kCNUGLR}SBE94`PbL5`mUIM$7gg1i>4%73h07n<q^9)<wb03b7beTCLL;W
zwnXTZ4iuDsAJt%=!d`;-Ih$5mbR93aV^F9KoL-)FNrS@}Qt<LQ<4cR$nG;iv{L_M0
zMMAD$T)$!$418}N6sJX=aZfH@x6^{OfIVlYkK|(HtsQB#F&g9;SpLGRMiW?W`A(Nc
zy{9U2DT|sQ8uarqH*b@eCS3n1Q+9@_hguX-O+-~RDCL{?Ig<w(p!pz$pWbGen!KYP
zZqY=8uGpAN6s)Vmfg7*615|%eY5fAOke6ss`1mogkKXD~dA-V0@#Q47M)O*UodGSX
zm@#g>@JkKEFsX0J!!y)n(zoL&Ikc$GK7Bgsv>N#PWEj*>&r|0=JdmwXqC;$RQH$H7
zs<6YX=bYTVNM*PEUVg8W4!!#BYgv9y70wA=``%i<Oyvm8K01|xLl$Ctw4W}KVcJ}Y
z>(j$kYB85a=SC<!q7ix%(r}v$!G{n0yK;7&N;O!?*o<L7sv9@@#dyi^3~r`-9NDDq
z`)+3HhZxaKA#>}x0upe0?=NhIE$X6aU4*CrGomysbrtU?K}$?^_zSZgDywxzI8Wjp
zG<YsVUgWb1#Bw%Xn$)5}$3BV|7GkVOIeyk3$E^ah!oF&I9B9$Aybzukes)ARmK7M_
zrVIsZ_IdHKbm(MMWpK492io5wE<5~|2q7(TPyGgQ=xbwSzIqWSde>T>Jb@>|8BW9I
zM<xu2u7qkU`il!~D)aqENmPR1H2Hw-CPsAI!=UiC9uG==5%;5uM+q9nwMIKUnGuJC
z4v%*kFG{;TYgn2=fCrKtc87>8NL9GFYx@vCy277pC#p>VYFzr*O93{N75<~lon8<%
z6o(L>|5Svi3c{Zt!d`Sm<ip*TUqZ<B?4J<MbVXqQ`m%*plN03;=L-(c?L#5fVO{sU
z6`^M%SvAg=3nhI{8v7_EhUR&2e77tW!P4Qj70)|vR6Gu0(;$H!%EqXT9#;fs`;)iL
zRCo~wclY^EVUj33q{oroch}#v!ujJhAL@NwbC@tHh4Q5@+$k?m1Xr6jTEjB}XzIW#
z!S~j9bggl$L6409?a`FYd=(+2!EmY|Z9oQ*I7ec9o)F+@v24<^@IG|UuO<2C6*)9Y
zP)&<Gt^~HF&UkM*Q8Y3Tvi<_Efd0lF{|i6_hqdm7yc6PRr)FKVuwN0?-1M&tIHwFM
zKk9i4+a-|WGnNBPsY=L~iPFZ>sREobpN?E*kU}z}eixQ)l~EmIVYAgc5?HwoRWu%u
zM&6{o{Y~^F^zcY*PV`$c$XMB`ypF}A(Fp0Sp06bI^2tq_g%MSdw+Y_7J+ey=%hyde
zACl35w!$`f6?Iss453q2mqU4_Q>JtTRixMAB;ox`1AYZ?N9Ej-NBF^?N_%ou(WBP(
z7khNIAheG0PytdvCu3qiPAsXS+)JMu=oYkLxHiOi?T;eDeGUm3U{ymjXYQ}mQ+1)_
zKhcx7HwXw-iZr{8tD@IxML}$7`e5SpDx!Z#3Ee%!2K#QPqD<Xu0_3ZP;E10XeV;%?
z*XcY@m$#GAvB8BdD?EVgyHbmKZe{dK3L~cvkr1o@o%=Vp0fK%$EB|&(8FfBASv=~Z
zg4n~i=A)1iunjp=<PIsLbcsVRVw07SbK=?jW)BJsZ4zjMHi*b6kZ7q8s(>g(j+b$N
zDDeLDM|9quh(@2s?x)w6MarUAxi(CVp}m{rniHvn_$<LwWNdd&{4XELzGDo8EcGWI
zR|v>sHrd`lT^t!_hrf_cG=>a6)pkLWB4TEyys2LhMAb^pG(O?RyQAMW&weA15(5J2
zH3&TD*+Q*uyS*`(bm=Kn5#*4jZ{IoAEmkBdz>D|bGX_qE58s*Z$sncf!MP(Vbcm+^
z)9<@=6c|3P_pQ5A8d-=dI-w`4RPt-Ro+H*2Fdk2nIVmZH{HuFA3j0Q>+;t!LY{!hC
z(rol(*hLBC;uu!(B=!*|Zi$Nz_c4NOA&Y;##iA%tuy^K(_b_Hc<}%n`0tkKM0!I^s
zQE|d>^giEdEI%}=RWKO9@?lE+uRH<tBkxU-Rm>vhp~Xs#-Q`eA8v3g_GrXusV36xc
z_zHH*?@|z60D~v44_&=IxKW?d(L1xJ*DxK%1Y$nf5KO#P<1BbNQESC}g7v9&%z^pH
zWQdgk5Sa2r7G_w{sAI3|O2Ild@P;h1dR-s>(6TV}3o)bY=)n$|E9=;|_&!OV5<OTH
zYeQ`>=+XPR0rB3+HB2z|hS;-lUAX$rca1%c7AZ=ny*wzkh9yUF@3EBCg@dJGM+~#K
zsgrR>_cjq%G4^UjwFYk;C{F)(O|O2PI$XQ`EsC&$Z9Q%&i>=WHW5I~KTYk$_3vur0
zDA{E!t?j_H1DiJV#2@wv&77y=l2rQeic6SF-ahvxcP$99df(z3HbpgNmd*KSxQMam
z{fP~!*Mt|R1g>eMjZyDITyFCD1?;KIg`1i(nh<l-tn2lcL25)>;lJUsd942uOG-(k
z2E5XZcbCrTrdHR^&R-Ll$C{=Gc?);{AkByDI};+!RPmKhU0%9#7z2w0|GK9-d^5?3
z8;P%>`bRD2%if>GR(O57&km>ojn*$an^X;|+O&d-n9wZdKpL+9YOMz4BK;zo@2WBP
zhM!@{Gc(wyoze!b4prc73i)}oyb%k!m*9AZVHUFxj*MWkR0Yo@sfgENU$A)^V?wUW
zEOt!Fi#@TM3?{XdXIWF77{9PZ;MC46rm?9Z_}q~U^R|BF?lisFbQ#6*((oK+z^Jmx
zKS6@g8QN2#V?VHjGHcw_oq6nrbM@i=AQBY3jP{CtF@z~CUCL$9Ucf@%?tB_zAi+K+
zL*9GEKe3ms_j(;T7cup2hbRek6+mUwlJ8-o*oSM{&g|?<ScJil)tl4G5VP{4Y{26e
zR`A7>AyH)+^B`ETU4KG^svzzs<|igF-GkGkomW>d{Z#YdgB?mBrmFL*z<LrJ7m2ai
zJG+Vvxvcnd?EW>u2RS>31O8x7=-<z5MXzHC@i(15*%6>nWYYh3@eC&P!6U8Bc@qnK
zWGxwxs|Z5@6&+U0^VoV4^Kr8K7REW4JHBT_0l1D|)Ou>MfQ5?>2-`p1!TNt>xnv$!
z07DbkIr@r4j8bd95*A4Vwl+7_50=V9;836^i`p`F+Qr~<_arUQ9c8GM;*$rpOu5HC
zUAz2#onKeT3kQE<CL~;M$-zNI`)S40HO!*&YivFb1MGbpw_&s>3#XekJsv#Vz%ICq
zJkyzAgfXF;_JUrrAbIG!g-pR;%rcXFd|;9pI)BI{oBxr4;C<~JfB$Y{Vpscf*d<sY
zZG!9b`3o|zShe^;+n5I4-Vs(Wie?83Up$_dUIzNlx{8&*poN2XR=w_sazdKe2S1?<
zJiJNN<w#V<!7MK2l1Bm;R2^9@zCyu+)=|DTs~_}W9Mf`^LzM?2xw&LL7o{QF|196r
zGDZ*{I?MFmDlhaiFtfP6l-{-87cNyX!&K|61RCcDj{D35glp1pkzd_O@DB^jdW-+e
zU=RYj@(XWgZKa_a7b~;JmK`2-Dtors?1L`<u^fX#yPWXVA%<ax1AgEBYgaNL3T<ky
zE-M|AhMwr)55a+4;IwDWy4YL-6!b09PWwxP2aOK97c&pYWZW&*X_18dDY-K$rP3g(
z+IH+n126FLos0GKl!p1=*<0y6c#y_EhXv>GgGB1KPpq^IRJAUA4SR|Q{;wI{d}V^L
z`J?}?*0wB|(1f2%JtYHOuj_+)CWIj?d#&yDk~|D7d*3{3DGO`7x_kS~MB!ga%jY#5
z0W=Ukh!QRb6X)J2+V_b=N~~RZk3111MTdy83<|K=u6eM?OcJV|JKb%yR{`(BXmPi0
zMM!A;XOUJX1)8>9mrFj7U<$X;E=@}W;d>!AIe>?%Z_!?d`^ixFD{HFakqW$fck7pI
zrwo)X!N}=deL#vR@`3$iNUPd^cEeW=y3ezz5Wc8^MZ0{>?{!tMQLoU~W>)}iA5$y-
zM0M!QoUhFsQHRL|MFoi*MJPEsXJV?L0Uh5PsSkEE;a_IaOHL&v_;2Bm@`Ydx@MiLI
z7&6fTc3xgflt2U`%>y#qbq&xH6plTUuLqq(t;Dh}Wx!t+HlC5vfE(d9!nXSi!7KY^
z(_EhlP;ML*=iR+`UzU<wHz)wFz=0<GC<)k;Ma&PFslj4Q0dB(62nv0^S>@j)LAsd{
zf&7IGk8kNL`Cp&_uEESMD4GP@(d1+KI1+pj<!QKYYYZPlE3yMUclEfaXyx-20*EZ-
z>pQZUK>pD*%`4m_*eq)i^GT8ew{6ZThe#9HTlfBqkEjaly{vuNUP>DD6d59$x=rBI
zU(*u71|qP{`IQRa7lkW_dgaomOhBRJPzq5>3DN^NRBoB`L5OAEZ<clwpilGttZ%9a
zX?zov^d+p&T$J+0C&~nBjnkDT4$6b)yt)0d>^9~w%v-8YFaebJmRLfRg)1{9|FuW_
zz?xLj^61Nr;a!1R;1)9;4m2h|)0!Bko{9>q$WkzdJ?U9JSH>kFK|S&7H2)^`*7ZZ#
z4M`NRzoi{&mL(1rT()m)E9g*mRO#aydI}_;ew2SBb04(l{p4<#Vnj}bY(_x=Mv!HB
z^-ON30O%A6w)~jcgBonTGYfwL2$<aLAKcFi^h_rwdskV}pU?Uee6|4p<gCnkHaWps
zxtCc$j~#iaNCxcB!Qf=^<=D@^S)rO`(K~699VJc*ZoB0hLduS#jF~$lY~a3RJW$+=
zg2#%J?!GpFQ;&=$7TjndEThKFS9~v0c35gq?A3>tIqzQx)Nf$1ZyZBkj<O@&$7v~v
zw7a~l))C^6yMP6n$9=bnVn;Ni{998RdN6rxxWTVs49nfH>g*-5qZNDEp#wp>u>4hL
z>M_k1Y?HsX_FD%Vite7=?yA*+y1zRzUrAJI2HDxSCyWhAh*u|fvFd<w<h$~Um;Ka)
zuRrFykF%kZ*H1>KyJ<t_-(SUkbrV!491b_2!-fRwFIs2SYXL=a=lLs<d1^&%YW{g+
zHY7Hicj~;n7SuZ=TvFIrqW=8im)9M@hMdbEnWa3|gmD?KR@u92)Z@m<nyDYykUFk(
zb%Ie7WQeY&Vy&B0{mezJ%meIbqld;z^ri-+jDL_iIkHW44+s}_nP*4Re&yW!+v;#<
zRy_2!Ck?uF*;7lRX)n4sMLzWAmO5-)!8<(fphc6ynHG$nIFS07k{LUTI+PxyBM>!k
zh#}ho_J!>7R-RJ&-efg+-<WS}o<NVzR;Abk61h-ea%Jx~q8dmwl|=Wf?Q$ZmLmp|B
z3so5|{D}If3LN{WIEpJ1`hL<ZiL;j*;pO_=-FG>fd0>UUv6~rPeYC1P+{uGH4_eV@
za;k!ZOw2tSI~Js4H*@^f6fcUcDmxdq%P)FK#}C!au_BTM*NdMb{HUMf&cB=sWKeqN
zV-uRjj+k77wsyP((0wNE4r>w_zWx;Pk#^%iZ_{(<x_SlCwVK!}^%WAFA#2hFKIcT9
zHva|KxC<kxB&qb-dJ;HyUZ}sA!-aYWY4T2Sh#-Ue``HhtkO1?(m?Toejm$F(qm%kX
zQAoaggvxaiNZOHwz6|jolsHl7-z1J+pGoh^I!6L>hY0U?VLl|+G#PPeQUVpM7*&6A
zBf<KnsDY~&KRW#UDD#JZlITz24#T1s2?VvQyH9lpAoJ_bJ0HnNqu=VZ0rx{mU?R}@
z=bnWSN^hnHeze1*<6dHc`-(_VXF=CvI4+DT>v|?TQe;rSoMo-`u8#8XYJGe!UIeYT
zWJI4Cmqnjj_bIPxk|8}whOx_53}GLqU%BbXqtwL6Qw?ck@Ul9=Kr1AH&R_5ltBX-U
z9+yIIUlmq`j0dk%xHu(ITkgfSLt~2Q+E#aSS(z#vFgzhr#vz3)g6qFjk(AILhp9vL
zZfelfvCTBgCyf^09b*mhA)?B7)8z!RI=s45y=*9fN9~FWhpDm3X#B5gSjfKJ{S*^f
z2_nd#+*EaOYP<@%TWaumQ$iCG!h{(r)nrkIatry4ItgtjU1p8|Ex2IZ9}~38p{Yl!
zW+(5EkjY#Mx8G%LxT}<D5-Tr{zF0U})0UFZBUi^qQSWrX%wba6okany$tb_CsU{)H
z!!yO!LV6%`BD`+7Qvp4hh#6#!Cn0gu?X0%T`cNA!JD_!Qw@ya-By$Q0eRqrBZt60C
zdpPP7Cq@DyHC@Z3gsY&^r0M6%au{5xibz#)Cm=4{M?Duw%4lnlkGn;6_rBTIOSwHJ
zAV-{kmvFcey7?)*(5nFe3324D#S>6P$JKVXL`9Th6*y#VWCSDn-!_6=3Fr#Oa8A`n
z9y$EW<0j=BLGiK3TfEzfDDYk;6NjiQdN8M}kiBjM7iF6AK6)ymlJPUwzWpbS%zo!d
z-&3YQC_8(XWS#=Dc+2l+WhIH`e|8jgnNc914bR4l<k7U;eBrylqUip256c2`3RHEk
zk7QTNp<Dg+xTa_!WNXY%q0`@u7k(e}FisYkjreYgUFJjn+4!#Od=z*bBFoukFN02h
zlr1o7<U*OJDkwsOMsQ0bdCi?4k4!(wD<(6rqhIUcEz3zpAR)m-nrW6otD|3*d_0(t
z+QX`0UQ;7T7cyAzx-E(JJ1k#*l~0H0t{q0$0>Bvm#1UD22_&M-U{!H{o2sqFAvhKf
zP??8+&QB|bR7LrX5)ZFYnG*Wu+0_8Jv1C`r?0v{5*5+Ms&>}S|5i@Cdih))7Kc<wk
zLa6Rx0?qTX8LGF7uY6#iA;h^c8N4$WK-<RqPdB9grlygvR^a#y;VDotcSk-nf5Gj~
zW9wg32KmHuv&Rj9!|u@5cq|Wk)FtCq7(Yr~pjC|`$LWJ+N>Xjv92a`*6Ighadz5<6
zZ-4Bi9zC$cT{J&^krRo~h^W#%8KufmE}W4S*Mo}{_=8Kvdy(yw^48Ss7<EYWvdlGa
zUC5h{QQY&J6)`n2E6C4}Q%NSDHKX6^z^$!-#v7e`(7?P3{h2G1)cyPL1UEh%Slrur
z^DG@RiY$_@F!i3Me*Bj=GUu-i6NmZypZhZ+u1F4CMfDu@-Kb)q)K@J?sIp395@tYF
zz1g8F&ljlASdSe3rJ)6hY{TzEHgPD`nvU*L#1i%Sufu#&nVK*wyYNk9FAgClu3Wo^
zE7XFNjkpFjO_;m>LP_s99m3;EZgys`QAKp-hN^F9z#E>G_-lw3HB_GO3-8&W{to~E
z|Njh^c{J2-6vplQZme0xKE@1YhOwJFmXd6hM2nKGkP=EODcMC@h!QD^gd$sgUzJp(
zU$RCaS+Zu|`T6&r`<`>pz3+LR&(md<VLmpi2gK%+^fp&kRH~aZu}f(cGq{(Kv-gA^
zEb11@-j`xU=o@WZI(i*5d#)rkHBN(4&l$0+%Pc6=jI!G?iUsxQv&oj7q`@zCV%ePy
z7Bq>gnSI&LigrZ0F6S;#;X&)`KU>vUQTh6?bBifEGXG57ULQ$?9W!$W5BRa7CI3GQ
zLa#W`VgKV^1TiYy^zg}8`?C37;_esT?OZ7MbD>JtBMQh`ExF}8vZ1(+`SrXxZX~Ne
z_iV|G0zX=AkLygbq1441O>V@C0_J5dJ^rB!2H6jzs|wlCj;|NvE)?)1zWP0xf){k*
zfkt1%n-~sc5ceeUMztWi@coszkFqY<cF>+|T;W8mIjZ_xv%;wJ%Bu5Fh7PRkYE4ea
z;zGAOWZOMRq9}Xoolm0c+OX%@pQ7q+ZY0s`@a*4dF(gyrTq+iz4Y9nQh6FQSBu!qY
zH+G4mhhovy9fM>D&@1yTddr7;EW-KZ4@w{nOJ9wM6J${2nfT>%LI4exWljsPNurOv
z+>hP3$#6>OVc7#~A#_wypSR()Gz#Q@`*-R&33l5jH;<`^pwzhSjqcg9h`;b*zl=W#
zupei>xtWThj$lRE(kF5#cLO^=X-ooKQBzFtaWQn^g=mX!hXUHA+<kgbi3CfZ5}0Wf
z;%M~_a(BOjN2@|-`MxQWp!tY(fSjTP>QGMSDr!?g!E;Lohkyj;K|8fgawO4g6Db)-
zR6*$<e)Kekli)yU+haCMX{50AQP6s_Dypu?9!TjY!I#ssvL<Y@=!ZUTk;tcxKE5ou
z^86$jYzuwOY<jmKbK1oHi>VsO$v|&(SxXz#Z2|__f6AjRPgq?)X=)-`ZtF~ftPadD
z_I0H!D54($4#{^u5|Ia`bD|Ni3v0YVK9W*OC}Q@D=fp7*ayYvGg6wx)@L4ITn>SZR
zHi^!8Te!4Q3zyIO#m5xrAN}aEEl35;<s@n(rs|-_yLR}0&!obflb4NjfhzjvQCV~N
ziZ0sCml|gFiUuLq9<-(mtD)YEx0O1Y6tst+ezkc{4=ADOmA$GO=%se>O6>~@B5^v{
zGxyTr<y$EgoqYs!++@g$xP^*Z4`;EQ?l1sC&5(HUWlf~<dr~iGFBQGi7`kp3VgyeX
z|8TuaC8AQ(bZ3$W73Dcj+jyv$z)C0~P%lOciQW7{G@w#Z!;Uw%#JWwPpkE2gbRnTF
zW6xZ}K2VVJl=1xg8|FY38`|DAPeSr5NcpZD1%<GDOf-@QsFUWokn2H4HwH+HsdQbW
z#Wzy$?l*w!B4?yT3K=C#sV~>lv{8Yr*UivWCX8oa<u$oXMu}R>E4BBvko78O(@jka
z;Jq$Xe@2&#UR+!`ZC*z}9q)8vs~=bZQP5_0RTc?#>RSj-*Q%j_-0LZZ^A=ES>ijjV
zSqnvJ>l12=m65vCzt6^+mT=hmg~X{QB1+Ux-&yRch|YzdJMh-n5}J44EH}&0M0|1E
z$92<WkoKc1g$K!&P*&ARuVxa^v@Mmz(i(^O6lsgK9F}0y^~@)vK^-ZM@HM&23L#yz
zDB@ga0rgxiZJZWr=#qL*y+Z;Qa*pTcEep1Q6wafrnMEq7zA(>bx^f*$3f%wL17`u%
zyNgPaWt5SJtm4*XG>tjd3}*xsFaZ~CU8EX^N55p>o8!cPV~<46vF|Zug4AfyIwqii
z{&6X96`d)=3Z*zc&wT=TciU1+M12d|>E0%-Gx3cfe2SnQ;{u?XP+;%oD~*yz0uA3L
z^)cQDUrG0_XF#R-^|Gt25-7hT@^gRm5QA0e)CcncbEx2bb0<Dn9K9b5@NID$W#~yR
zMym0cLupdE?RyJR6kgsK6mxQ%Q7-9R&P_3cyojy04_y;N%aR1a0pbKh`2(BR;lrkI
zE33OKYKRZry~O_Uz>jgp@lyG0x7#M*t={+3@ewyN-8bRs^KOh`DrIwGsM#3Y!q3T0
zRdFCSk+MH$6h;}U$5n;8C5++luBC`BWj170Gr_-2<}V}FX?w-IyAiORIQdGkXag%)
zS@@vRG04#Gp7}NY%n)KDv(~F}R<I}WP86pze;EIDn2v?A8NyeWcNzq#MNBk5c*IKJ
zH^bHJ=_%_222i3e6}f9;7859BPc63ZVMvCpM@v=HVI}>xO}^tamZO&D7nA#g@kNK&
zTc|(>uITSRmzO88JE!#H#7S+8g`sfi#%ucUp+vQQcx4nzTi~to9skDosuFRPIim;C
z>|Qgi$-`LD<GSl(oed11IPtPyo_fI5f94wG4`9q#FFB*V?-`zl9DC1p(4dKlL_bjb
zF}ZfZe8Kxw4C7*)#kdm<7Om_&?ko3U>3^eavj(3s-g)v~mHa{lw;hEC#oB*i$!mqz
zKBojRY7Z3Ywb@a@VrK^13C?cJt~<ZTM*I<mYZ!78{*MAR`^Q+kUw2|LkH<txlFP6q
zi`d@BE)+<L=x0Puv}5!W!xzc~5N0j<EB8vTF5LZIc_bsQ4V%@@2oqMS!<=JX+7plK
zLi9(nQ(9Cj=Je$`<vs2*=I!A>c5p=pXe@gyEL&T!3*B~yEf$)v(F$YZhe|q-fB2^6
zmY^0a?hxtX%IG(2N<rxBTYGI7JN;}>b5{!{kZ8cK=GlTBpIa-x6;1}`iJAOgr&=)m
zKfT13;WjMFFQI(CoCHq`9B+;_wO|rLc&&!3otSP(j?vp0E#N2&d`b3f#S$G&<p<5X
zv6JJU?Ar9Tpxs)B97k@$*101FwG?}>o~OlGVi$>EQE(})pVW>Ggpc!0N%mo5?kUNe
zf)5`pp7C;cbYLz5k=MUf{>D~);vimD6I!9NH05(Aws<`CaP@^h7;gDQ$@P;2pgXZh
zbNY8-_iUTZPkRkwVs<hUb`2U}{mS#!L#v<IcjE&>a;Jx};NSV?g+vW-EejsIu&)Ob
zvfQRgcr}8pr~U9tPg39XodgkjM=zGyC(sg29>*GwtP8L&sKMf7C`wfOjWJ?b#|nBT
zG4b=Oi$6ToV2<k8&zaVb3D|qg+xtynH~nr`OSY<l^7A#qSLy(^FNR9z<eS0dWMvGB
zZB^l@^QuwG(jXQXdhU+?_gU;y_FvD(?^WP-GG*k{zhO)uj5{pq^E@W~U!&=|g$fwA
zHm#}1jbh9ctxLGMMU3(=srOx-GVF2LxHf!w9P^FI+!O1%f_*>yeU{%|8M>anoN5;T
zhm~DaIEY_a!)|h)a-Hi?f^C&&o-f8uVJ%*Q_kISkpxWN=^nznb(CZLkE}}7mZGcY3
zq5vDpd!3NtyMc!mH}N3y<Se%B*t(3!cXm{s@zL${T|A6w#1FI$&SUq@<Nm$*$ceTv
z+zgFO@DOncg^GwTVc=c43pc}!ynOfVa(%A|X7|q;`J7$B)~mT{GxqYK8A7sFo1!8V
zH_i?&D6V6RYEwO)s{&~5T9IW?oC5SzQt)rDu^_RY(?{8dg;8mA-zNbs1t1SB@Kvd@
zA>uSH=1a0DVm*TL*KW$g=?xyK>2Y=xX>lyzn5#G{(6+NzHkOA2pMsOx204+ENa3zw
z2MOdm@MLv;Q4VfOT<@Uacu?n4r}P_PQs~)+_0FDFIausFAV@#YheW>=Hnn!jAVcn}
zN7gp$X>(aQUP^-Kw%2=_))_f;F?Y{E(S{r-=;VMM*Cuy$idRiJE25ZyRdU)sd8n(_
zQwhx$MTMVK3NlQT5Qxaw{+W~ql-Sm9>n)C?mT8vd|CG_6u6o;u&kB&os*yV6EP;#;
z7tgJIRz*EpBeE_FieT_3)ZZdl3e}r@y4>?w9UZTkaY1kK&^c=#&+$$MQ3r#L<W3UM
z$WiM~gLg{sUQOQAVXGY4*6Gr?LDxd!GYLHNTq;14?ejjiu7C_1UBWJBl2K)FzRGNx
zD#Q`qu)mnYqhl$*bIu6pqP7HAV2M(P@VA$kU!#=KqTeOX4^9+hXGe&)Y$w1l+3jZv
zSrtj%VWB)rrJ}u!fpO<Dw4lH1Z)n_KHMGt0mcB^?4efka`lz8x8#0CE%TK@5Kx3sZ
zBRfX)(4guKlRJ(SXqIQBjbGD5H7j||yZiN#$*%zZ7r`_zlL;7-->Zc(I!(4aJ*1<#
zJxxI_?fM{-e!}OaG#Rmlm_!*#8=$L~4cVTZGKBu%`y;HcwbAFN7Obs028bimW#5{C
z30Pe>epn-;i#%R8d-?sKBjX8vXA5z2pu|{RwJp;{UJV_ic7k-|Uuyf@ITXOuF>o@4
zKta@}+EaV$^w0;*MZYcoF<~J5`1ybS6y)=7YvX$!8cI>0oZil73H85k{Y*YfL0tqB
z;hG^`v~b@dd#{8Q%s=59Rd=8ufx;%EGn@QX^<2~z4Oqb%u5SI<UtQ$i&PXqLuYqE|
zO{>L(SVM+M%{_{PF7l+7d49T}j6$xSJ<p1)p~_q6uPcWR3Y$N_x~*CkrIpWU<uzDC
z?QeFrNLeyUqU2@D8i=BYJ>QP2WLd+LXA=ibO%c(tH#qyhCs@(z1k2mstgJ!#3frl-
znFRE2*O&L5v27Sv;`85%AFZIHNyGcRjyiI=d$Zo{@iarL?w<=m&kDTp#kYH_RL~#M
z?#26}>>w7rxAw&iOE{7Ck?_P`37KuHs2jP@2d!GOC8eVlfO|1exNS%t#pcm|Su2Ua
z5dUTWE!GymD6qHm@Rvb+`^tI?)Wo3fnmk$PArq9Dm+p+wB#>S}#H(jl#6eP>n~vvU
zLf=B#=};R{r2fe#?%*LDh<C5*yxhEthg7V%rW-$64PFzC?7%_QXLS312LlcpTDM-R
z<v@Rw?3)$%B!H19y6b(rIc(p!x=kfv4YS^Ba6EpqUe$fNo@3Yy(rp(1Q^ck*oh;!)
zU86W?|2iu}<S_$lX0$e5^fyMm`RJfu4GwCY;(R;krVydz{P*(Jn^<R($E~1f9GGz(
z-|_O43Aj8w!W%sGlVPM4Fm!7V4uVWdB+peDgL`>G;M4grMxS@}9$zvJE;szP;1e_k
zvADc2%XhO3=Zx|XP2xDXyK<*A@R$)SPK*0@`!6#VD?8==1aR=F{qpgyCPUaTws%DF
z8w}ryU!ol{IAED@uPrn+gv@U`s(3jz(0Tp0a?T6~`wQ$Py-E$>jm%D?EDH{B;NSCG
z_#6)8U$#5t>KMS|`&)XFEx5qsZ<;vYR~(GzU$D`BNeAW`8NL8j9x#%ap1WWs0Yr;S
zSw9(ccyp|sHZ{o$hU)UCztl-UPEMWD<7R!3i#wl5E93`at4gEUQAs$Id+k+9fIi$%
z?efe$BnbOSSvE_mQXqdiX84VuK7`;r4l9TVgK@ymJ6l$zVD@xq|Dkd{2%78}4)YL!
z)vfufFUF<ez}27gl|FiKfc7)vjJYV3N7H`3Uy^|d?Z4h?ih9tS<F?OGNeoUEAL?S@
zx4=y2*KomJ8qD*nzb@t%2g}=Kx7H8K!3YQUuYXTyaKwz?H+w@I>cY~cE2`z;m?Pnd
z$3+?(w~JD|vyOvgcl_eCjv}yEnP8mzX~1@X$7O_95_(V4*v`4*p@>`Y`fW=Z^k!}E
zt5KE$yY^%CExJmOk|h|@Yp}_I`fAN{+oj>vp+C9Xg*JWHWN~M$Aq~z}sv4R^$N<Y3
zm9yXHl%es>Zw>WrG}vRRkN(!l!tT4_(lUc8;8oem<o4Q}lWkO;Z;KqbefnT_@TV$d
zFPA+zl1zhZH)ttV;qowLG$tR|sRnr_EGPB8&>-fbEPL~m0u0Yr+_=@Q4wgI5`2=jy
z0}e+QopM7wMBnM7#<yrd(GbUM?|D5qYJI3dVI2>4qapHsjRepo1=pKT>On)gZR}9J
z5@f#!EGewggw)tt@3~NY5PLe{aPg)xv{>4H)xArEaO0YOya*j4_Qmg-^iYA&^Tdd4
z-deCMd*FJ|YdVb5tN)FXRbefqsJU5!1SOY@d&MpqK;J%_6SZ@yAaFR58S;n(l5CvM
zQ|%2Q&m5caELVeu|K1HW3X&l$@#ev1k`c_dPyIX_pbnRB)yy{8kYOz&U*(^aF&qrf
z2|9t(0JC7O`|>-<kQ?1U<G^nM*G{+?-FT`2SM9cigesF^!#tdFkIfYN+=iQIS_BB@
z{FQ>MBEgO2o5@p)rf_@fqx$9>1h{OTVjv|&f@G`Wp@mHy$b4*aVcRbPXcD4BYK*lY
z@VrDU`HMLeEUyPm@ojRY`3IF~0uf>s6X}`{7=Q=2i+z%s5D-R9p$-yY^b!X(L>nOP
zk;KJS7EO?KNn)Hizqx<Q&c6xa0QYo7#>75t_C1LIFK0>(Y`apEi)sN<iG=Wx69foX
zPbw4GtqOnq(nns+0JzjUo-<s~fO`d&*{7c>134osLP>%N1V=^rL=O$P(=B?=k4*_^
zyk#9LYD{RocTbmEst%u-Uwj=tDS-GvOa9;LOrVE+6=NA!gR``gNA|qf0wQ!5`F?38
zI4uc!ktNmOO!$$txBp3l+el)J_ZmRI+?#B9>Zbp{mi1fLk_1Y`+ccgwfI>m$b*i-r
zOr#`dEH#KjP50s1Yq<ak=5k>VcPm5Ei%{2qm!cr+z5FB74?t~(fBOLsB~X?7{qjts
zFkE=NmOrBjz~}GgKM;h6-)7Bs7cl|w^{xt3|HuHcy;ya=h$2+yCAH0)@_`shv93gq
z0lx$#Gh!U%fw0atmuSob!Wa2x1~bgTVkDTeAbSf)DBUF36>-4_qZa888)k4V__>>x
zpe)4yDBajd;DkHBy4e;y%s~8%udVh?X>fj?vio2I2k6<wwtahN3V%nwq`onbf=lFc
z)N}3}5bx5Fd`#UGq*T;y;g=-fqS20c4O0%VbsQ476K4W89M{LcZu(6Vhx;sXKL=Ee
z@fER88AEht!1Lxdad2Nh9dPIc2V@3(!_)Q|g8-X~M)R~7^h!N^_tuOPZtJ*=#(yw^
z2Cb_J6p|P;onuEKvz#zE?*Gc2ZUn5JCJg0BQ8@RRU{l!41pyaM9vOSGnTwO^eadD;
zKnhpF{kVl2^2)uY{ge#B2n$;n2^WDze`(|E3p~)Zl$p+Z&j9SMj2OL96M?B0_ihIo
z@c}7@I5#6_09UxBc@BRR2IBA5w*u+>kTh|v*g2aH9l}u+_d<lBHt?3gPYFSwTv>X#
zmq>@G0%FuT2VpP_KA=4OTnLtJmN`ik`oK|ir7XZ%7>diS&<~mjq!HYFICtnn4fXwg
z<tSlruf16%rzi?7kDhkR_v^vdib3C~9%1l~Fljw30AWC$zbgh>j7Nl55qfZ=8vEi-
z5rI0+uP=kt#leaBnl7iR2b|#x4${#gfPYuEq-TYLz9h$toK4+pYg*Ap|3o05G}J05
zL;`}NdSnYX^?Xc;K5iK(3fWJEUsqO0f?}R1GhdGeSFbK<6>NyYk;tW*v!c@A)Zf7_
zIYWi&o{4j~M`CcZ@V@T%a2Yu3>*pU;NrgKng`mV;93~%jm}GKn0m{;SN_q?x(qbHP
z5oyz>XD>X8cpwKKdW5WaJgC6??e(EpVF?&<zZo~VTLJK#0{mH)RFF(lGu*{32`?%g
zCL)FLK=H7%0}2&(gu%KiP6}=q$KR`BQ38se`>6pU6-KW~e5<ERLz1eAA8kzue)e@t
z-P`Q{D|$aLKTrl3I}{|z94c@<ZRS+sRw_)2B)PX%%K|OPb159B3ga>Fb`AScL7P3P
zd01W!p7&h;7(-Hn{k9RS<5^UQl`5xbZssAH4WFyHtvU?-7EI_Jq=I>;?}=b}MG&g^
z6KL(H0h<9#bqQ!t-tx6h^Z*`w{)t(~#}Z&{EY8pMISmAeqYG=B{zoAWj72}xgqdCG
z)zefxFq%sD;u27X5~@zRzzZT6%iS6})2Ih~tFTCiQDxxRDA^}lss%VgbvgZlJ|su^
z-HvZm0qKGt{?q9s2zt;dyvC#h;r?>)dZ8-pG<P;P@+8Bv{}KY{H~+2F$p$zTs|J_0
zk1p$QX+s6igi}1fAzXQ}xXg4{2Od^W#C2X9Xv5rg*8H0s<);woqoDy>v2$m(RcXVz
z%tyBxX=BjwVY!mjs{!8^Wn=cd)&|)z+VLAYCXg0(ZyuruP+JmcyL?F-!io;cM%tP}
zU1>}!uc#)l@T8?ot&kxnTE6#+rx|=JCR;oY-xRdHM9iB;hD)OAO#Tpa*ijq#*Z+$q
z<h_uV->yM|5%ty!ZlMgY6VjR0T+oCOsniSSyNRHASbF?~?xubwJsGW7)&#v}6UpLz
znwxXQPw!3xIJ9@Ida+Ft9#}Qc3KwdCN<_=|ACmz4OD+}6#%qEK+3t8&w;D8Z(wemN
znSf1+*Nn(&!jUgKWX>$9z){Bz9NCu%I)=Ga^J@gyXmk}C7FLFU_E$~`QA{|x{d<zj
zHw_qV=IDGx!o&9syM(f2CY0R&of62R0e>1)Smn#*V7utm&Z<}@NGdiyaFtdEUEk-q
zR@-IZO>iU!<rEY6{Wg-#71UswD<}S_k|aEIDtp3Z$Apcha_oqdD&RZ!?|Wn;4i9{c
z=Jv@jf$#e2fgv6hP%b~Yf!>S2Po5kP*KU9<)s7xn3raA->-%+wjvxffnCzFl1F&k5
z#y>iQht~sPvXT+J;8OGse`N=NUb06TR4YRG(Av9$AzWZ_s_R3+JOk`i`<}19l83h=
zl@fT?O&zZH_7-ts0JpPX(Vm7az{hiCKT(DaHY$2gJbh#iyyiw{k8kqjL!E^LdJzlI
z_w6(|w`2y1UhQXhT1&&m8UBP!&kY7W>WYY@y&0q}exH&ok%TAnYBhhg))_7&(T$31
zQ=q<y3R&6YW~;1XZ_|u5hB&W<*setr2)s4jd2LJ_^6+bWXVcdhcfWKfr0z5U7E4lb
zVT~Acf4kvlBEHVptF)bW{h2W&PEC9meI^Qp+PUH?bL$N6yzgfJHuJ(<SHz4TCIZ(g
z0*MaNEU?Aco>3TN1Tp1ds%pK$&`=~HUC_+}o<ptP9-W3D8D&Scz9<AjA~vcY-m(Il
z9*K==Z3t6iVu^9P1%air@6zB0Hdy_5T-~tD0IEnX24;r^U~<kw(|wQ~CXb5kjny;&
zucM(YB@g()*(xm0Uy&0Y>ogoO%Av#Oufd52#rWa)oojgcATAjFk&|{nkq$)S3IBmo
zK6vR|o2TE!4dJ`3<9W070sf_b)r{Z+o?whs!krg*<mRIHY3M_ulkFpiFg`e9@L?f)
znGZhtEA$4I>H&qV_y<bogZY?YoI$AoXc#TZ2UzIA6Z!RYqkcZf*()5Ga!m-D)@%&I
z+i9S2CL<r)%@5zi*Bg3GMZl&X_vL304OZzwW_ct0kT5#COK6)YSdB(rsTZZewEvFi
z<U9e0x&QB}l&2V|UH3T`{fY{;Pr1ds;{@SiWCW}04RKKHvK<Tcq{3qEZ6W7WAuw;3
z#T&NaAd1y)VM&4tx6+<Re|akm^h2Ec)paGIXGSeK{woFetVeX;B#6Lm)jmpMwiG;S
zhs?5M3gm8`yP#+%3U^!sWIk%iK%8MMQF<Q*3LiEL3gg9KF{`0X;y+n%Su}a$N20*r
zivC4BuQ<$i|E!C?E(fx;lF65NDDYsXg4r}T4rs4?_m2B1z~B?Z0+`eV_c^ODyu1Xw
z!k5Mzq~O78*N?*LK3$0TU0=u8E(yW($C{^2lwiL|;E?oY-O+2$@umbRV14sF|HLN8
z>8Kw{crc+0u2K_h>ci5oYp;^;tuPgs)Nk{y;HN;u4!C!0zbrVP4R~MvL=}!axEt4N
zM1hGhzSfh2Tj2DwqjUTNYG66^V9&F26j)t4;r={E9;ya<^Q8$I5ar$3_<D0cgqkNz
z8Kxps3hI4I+~i+34)&yH##DG_V8Y23jfajjp%Bt5O*p8M>%#h)3Nr_>pOL4Pz&x4`
z&z6X=v-9D8L01~28vhA9c3c@$o~7~?>ykk4NX&eTfF7Lx#7Dn=Oa)fD3i2zR$*^za
z-~0ZqO+UJB7i)f06+GEOo2(CNgTzF=g;Je9U<I|?G=0=S$Uvua26P~+__j`VJstEi
z@g?4e)WQCPO<K#G4)iu}e;m?h0B#JEi4aE(IHUF=X~Iw!CN_4*ToyKhfwD`__fQDX
zrsC~}?a_rX<)2=@_Qnug@m~DV1_4}4uPf-->%xCu>wccSWdh>9wS!GBHGy$VaYaZ@
z7rteERqp6Dg=i)|$!-S`E{!<Usb1EB$A_mzA8VL{YV4u6ldp+TS7YOD6RHiA-g`QM
z9t`-qr{XP*M+?&T$@7>=lc6_za_zGPKvkheVxqbhh)LKUED6$rBR*q=D|G+?thp|w
zl3H-t@vI$Jq9!nx%(qt1nUG>K8Q0KGgy9Rde{#Y!p!72Fs@@GI{0{&C|Njh^cRbZ!
z7{_Hx_Pj{uwJ!Hwdw(A@Te6aoC<-On5ur#_l-VFNNhzfyKi@+LZ5fG>9c7ahKmVTB
z>pAE3ob#O5=lwQ+-K3lDCl9*88PiL~(jdQVpqtxm0A0E{+ooUS;G*N92z@$9VAAZ&
z7ojr*8O5u7w>jjXdr_*|rAZ9BzC!Z0fFY1Y-TVFJWr3|lUr3X@7uJ>H@F0FeAT1`{
zIwvCo%a^^=7I_FDr9a5*O=Ac&Gwpf2Y((I^S4Lj9;DbJ?RYUV{2B6gPvitQ<DL9&Q
zXIf^M3&^@7(xdkb;F;?0mhOj=AQk<A?_nbw=+W-sXLL6J{*ShWr-CHlUgK&eT^2L=
zrP=ZOau|RLh5OlG4RP2-yS<X2O%G8^xfT~|0p3rFk8072!PwSkmU|^M&?Yq`o9YRW
zll$j^-}AkYoD;bJK-vbz5P$lUBOO5X!v{wD&k4h=SAHUvVt=s+#WjgWGYpna_<h^(
zAV6}0Q_P3XMU2nBQRr2&J{%wz$_V%ffc4s;)#FL?*sQkfBae4_aNuF#o#}Kw@D$4I
zv*Ve=RG-+LWaiKV*}l3<uSa-*wxYSj;?WF-4lFX2JL-Z~Tjz~&S8j0IFtAuWK7&=R
z`=m|f>%iFVed~PdoZ!F4>J=qCizzvu`>sBt4f$z9qwVK7;IrVmw&8&}Y`x<m;}_6|
zty9Z$9Oi7W@+qt|+jky|b={up&(?x~q}qm0uB<@MVrOa7w1D*(4~?H()C4)<3WJN4
zETBKWFOYb63A<<&w;gG(35$k**CT-$5)vOez1p{erP``qVXDypXD`Y1rQJ;6RkO7z
z&c2E{{PkF47T17VgR8<etc*avx2OJr*gAIosMUkuYwFN6qu0Qq&j6i1<+r08HZdO!
zYKI<;It0AiH!_(|55@M>up?z#SfBsE*pV<bxFy;fwya1G`@0h6^{>%@*~UOh*PJSl
z<6SqdjM0H)AkydW-321_n_hW=s!(6Oy6D<O2elDq3P088fPNsiq<%pKjLJ&ZLR#ry
z;zYotRw+F^3EXJG&Zz(wnQl>Ujt)fW_^$|&7=iuwDuK$V0;j9rPety`4c*WO-Y;!T
z@YMao)v_#Qn4uLLGuf#ZY_c3$j$?sU(%O|b3d-<@&3}tug#q%pPPKYFv%+v?^6LF&
zDkMtX+Fdim09SYamru23gBB~npi9T7kcq^<nN~7Fj617Mg%1aWXPZ9GVy1%q=0RC%
zJ`*GeKZ-8<$_cZ{l2pkm3e1dUxKW=n!>X==kv9uBXx&Osj5|sJnIg^>i*Xh>ZZG@Q
z&xr^Adf)#~K!5_>bx~)VF;?LF$Y)Yn#|zFZ$xV%=WH_5>p(}^)fj2Q1Go|(U;az=P
z!4E|;5EFKP)bL@4w+>vP_5A|SXXh{6*`x#<g!1gO!kn-`ea(FM76CAm&1{uZO0ZFt
zBY&U31uTpl=w*a3B#*ajx5+BO@uIP$ZY6G5e(hs&G;%Mnk9_8Sw5AA25gR5_Zanbb
z=4HV3yZeC2*zlUcup-px{;7LX$P1&o)+=<2Vz6~uG|OO25$+s1?3GH#53>Gj2P5Sq
zKtla~Rs(|)pw_6b_hSWMD&=`WN01~u&)teu-me5>WS&V}fB+#<9-7MUq@d{bx9>+D
zDZ!<Zcd{n$g&?%ekcmx|2<5%D$XAyPi3e`->E9KB?dh;QnsOPaWaz=lSIOW*li4kK
zMHDV{v=K_=<iM`{L4i{+1;Vpxi~G&QpwH@_r2Aue(D>-p5y3!(WxLqWnM2~xQ1GZ$
zMwtYy?R$3jJ>OYx-xv8XSOQ$v{@F!7QiLKQ>ZyYX%3$Qpv*&A;Bt(y1BS;C5p?=-e
zTkWh0u!cLu`r=Zcmy}jVQl@~nX~vpxyedT2jLqf#k_O3^RXEW^0oA((XS1u+z}Ec_
zO+BX!s0yEKzNSM3+vDLAW4kn9(DeE@bFwTvV5Almrcpt?JXN+lKocB7tgI&V<v=_)
zhTK|5g+Nk??Xy2xa6XJ2drMOuE^l?*|L}?mALAZ~4WHM6+uw<sG<*usu*sa%8c&5b
zH}zg^UOjlsRd@Ztdj*IuHC=tlO9ju~Nq=&wK3r|1b&Wejf|JX|Hhh5;AXt(scz6Mn
zJDEgnsz`uu?I{kFC4=1`+s=J&0k&TT#K?7#Kun8pVw_tMaxVp*$?-9OOvNFSng2-e
zVm`g3;gLLWM7+q%`(pqPBGjEP`;*|D@=+*ZlZBsFU5;^w3?V#8`=8LD0)#M31Z<m2
zLquLtCsT<bOj;H#tOzT>gpx%Eca#J?ZG7*U)?o<gbx%h<W#r*VNpAkXz<n^6<MfYa
z*btsmIm0N-a`5l9T+=>zA^4Rj{`p#$A<WaRQ5{=k;MBB$n1~4<T-$$%{^S!wAmB&s
z?fi()zR|>I^o<i*@6L%hhZ(}N1I6jDHl^U;6S-{B5f&KV#mseB!4RY+75_G0k_4xQ
zW6x(ubdYIjGUEEx0HpNP_iyZx09`_Ls5{>VCVC@DZ7IkAn56Q0W^=@#v24=!V*fnm
z^RVxP(QX6qs<Zpz=phQCUguaNna41P7opt4c>uvq7n{_|gyCU(U-}!buh`#vHhx1?
z0PoL%^g8?mXf?aO2U!$ju0?(h1<4rrv2LD~d&Cc6{Eq2_sz$t<Cf}>_sXhp*8MZK<
z;RT_vTrOIHFZk`@ro$J0=s~~Uhay)`Zje2lds;K73n!nYm<zM(fxCBvbyy51q{kHE
zJ={Hb?YdNqu(2*Y52;jhyvYWHkRxJ>Y2A3B{e|rhu{scz6H6e(?FKXB3n>deojCk<
zJ7V6jlV3d^yUiMzAlfs2_RjWa{BT{S<^^VLFnLy_pnQ-4^mzif;yv2%vyCi&Z5*{g
zI-_9vsRA8@WP6BjjMw7~dMdS-?rVYwIwo_%d>81yZ>bv1FT|5`_#|hyG@y0hbVHBj
zHfE9Nq?h=q99wD)d*|S)0X@uTWd_1Gu`(xn+pEVLF)7&yruaH_5Sclh_<YYg#!lb=
zBhC0DHnipvY$Bl!iFI^|h-MY@Fep6zP`C>V>}-4*l&S{gRysQY%N6YYyR24i!9Hxe
z-M!?;x+(<Ni|)TRvV;}1l=%y$3}FeAuU(IwQiUIfC7!-%T*T-|*zTVxBUoq#)2Go9
z6;L=4?jk<CfF&B4ddR1bV{~^Lvkg2{U^A&a@4L<dW-mA_IG6VeOVj(D=h?3euFA}I
z6YcX@hWE!?8nwT%sG8<pc@Jf9Pht$*yfTk@4IYypnw-U!9_|-N9ic+&$BDdzh<PkJ
zWtJ1=%ww#(ZVa3apn^!FD*uhNd8|5TA+ywa5qn{Vyg#o}AU0t(V({}kc4)46hEZS{
z+dT3#J?An7Bt8BS{?k~%bZ*S&u&k|METwAljlvXgV2zz-+u@0Ii|T_StE-qi@4))i
zV`NyK9dyP*7qR&w<B27~4J@<gdazlJ5{Oz{mN&9o!Y-IojI%udVPsd*qv{St$h(wr
z?~3U%_FvLjKj+SE>_B~`<`9n}=sw@|nD)d92FKq1S=QYJ8?M85`dvvNl3fwW_4F@x
zkz8=|#Y0+HI@!O{UakN#qnRw3l53dnd{thR7Co#Ku`hk2QGlCC9-Jc$>ll8n?s~u!
z190}Rs2O|6L(U7%rnYOF*slfK`Uee6(9Qq~?r-FPdV+c<{puDrHZ^D;{)Po+rZkhT
zP~^Zi#A|fhlLiL(UuP>VvBHYNz5~{!I~<%Uc7v3&3z#;Cc_I$6gSF^3GLe>r+47Cj
zsu@}cIDGtE={Zg)ST$$WdMpD;mpgDxUwU{J{_EHJ1Q+xW--rns%D@VDo9P33Mi`R{
z{X-kh1M(g^WlY0Fc*tS=K)Ia>O0y?VmC5tLo_JU6<aHvXL}Z$pzGeaE#SW7{3<B`Q
z;~8<>k_i80e+tg*V}<q(8M6Ua0=#Xb_lqJBVSc^=v69(AGv$oN1xy%7t+Me+>(UTe
zI`?AOjT0;yB)>f`+6(++NtV6y(vWV};6{VE;JTRm+?BmzAb*K*1*au~;4TJvdLtgl
zGpoM#GeI0Cr@t8pQ;FcI$P}`Bk{1rxesW7=kc3LV+v9$5MDVDYyTkRAAJ%1M$qj{4
zz;hLM>suwl@R`+rKk^0Pa+CO<!NWvo4!Q1SeOCr*eHeJUs)gW?@fnLlBv}wveH`Wx
zDhr(^dksG>ionqse;rd^dB~Psl9ahD2ibvV@gA3bkktO9m%vT}zk!cI=YH(G@6~XV
z@Ey)DtgS#)9wqP)e_;jZNx*0x+TdU%0a^<mbhOwgp#9kH0T!qPGH+D!1F9vVzV<)e
zMOG?w<ymCuyHlVsyCyD8K^h!*?;g?Jq5^wxdY*dK&Oh?hI%QT)g#18mkNNM)(7btm
zY(+x_e*O@wELD(&z9Qe4uxu6Jc~#2HJfjLd4wA77WpdCH=SJa{RfTSQ>xpAu)M0|%
zE94Eo0*Fg8yhyvC3LnAaW`Cb11XAz+`yD`n@2s4~8kwpP-Mx~3mre&XOTK;M$XA5I
zYwiDN+*F~fuQQrkM-Qs@UHrADKnZGp|2aVOQ3X_Y<rb<3Vc;(N+nC;$410^&9@R}M
zLmuy0I%oqpv$r$GXq*fO38dSal~iz^{`*>~*#LYQFSm=aQs5T%jPwzC3e*%Hv%OJh
z2p1dnh+Ui~!-GDL6r(RBxWDvmo6E%rRF)b#OvA`9D?3sfwI&OMTCu0K!$z>E^~<lh
zR0)KR8t_#7m4cg>kLc#;8pG2L87INy9q#++yA`w|1}+~H(4dboD2;4bJs^_cqLlhD
zo0bqLmXLmw9y5k}Zt_)!QsiMkbgN>Sn+J?XJe4pVW0)D<UW#avg>jJ^?+)9tz}=e`
zaYyEjK#CbdZwHB>p_ifh+GG=pXtq@|yJiHq=AcF5loU)>Ok4hL8^&DU(nd28jG*O7
zuv*KU1T;=demd>(4R5ljJG+o=2(~xQm@RIKL9ItbM@hf}zP#zU?96EhF|)*7WU?r9
zm^|S1p4-5;m|O&X5)I%~tjmr3YeJA2@ECQ+??RuQr<m3L0myciS+|J`fP8)ZDMl80
zM9VudIvED=`Ib8S(hLu*<d};3y=FiH!wi;nzcAQWXmloPjT4OWya}N#j3`)lNwacR
zAFA5Er<PyZ0|QNjv4eI@DC>gI>;W2mSgLK`w{>&J%i<4~-8|2PFxTCCD~0vo`PIU~
zRRSFlt8QpG_%fk4&)%F4Gth;lCuwI}CAP3*`)R`;OEaO7i3@@vK{~L;ODVP*TfwSV
zZ=AJ$$B1%|X;^JM(1rshU-zf^&0*~;*QWRQGNR}@TDp_dT0r@z_bbL=3`_3Wbs>|U
z5gFIV1|d}~5Ga`#;OObX+B*}J{!}oa4+@K9ze}2sro-d^>u)*s=b6NzRUZa){KSE}
z!F~-$bfw*#b!f-G<!}+EG#F5ddeN;4Z4FR=bG5^psUP>cx5v9!k^zbNKcPLHrw(3K
z6YtnxkKz_j8w6Ms8PMgP@;6_Y)M57i0iVckQ}`YG*Y$c%3}{Tb>~qGBSL!YLiCxs0
z!^13Tu8iDcKqpPDQQVX&INY7}9P3%Yrw`9qo3JyYL)7!90=-q?hO&9?oYgX3ZC*SR
zoxjtUhQ?RyrwTNudX(6f{Kb!c2)~u?$b{r`w<v?&Do~?+W$63V8ZI2{wsD=xj0&kX
z=Z&V7A#)&x?Fn%cKfL<X^{y%lGO5y+2?$q)Vp~RYi=$h30r$6SjGnuZi(V?xi&=Sx
zd&~r_?P!o;l%tVlH7go&sy(EcM+J`ajqU7_yU>kK>)J$hHuOv@SALHc6&gKPMWP<k
zq8i2Mx*MbHXeuo98e=a77S7|D+tYN&Y{=@l?@><FYZnOaF%-~pn<mfcF`&D>+nSXp
zxlmYSj;n(l1xy>ii=-7ZBJC^pFUF;Eqk})w6E8d`LydEc6+x02MR!JgbbrT#I6_e?
zhvbew?!SAnv5p00-@hi`FT;m$Ug;v6d?mPif3oRK2rEiqFo`NH;zzgh#UqZ(E5U4l
zRPiAjHbhS!bNMs~BHf_u)Mw3#aFoohi>x@%+3$mwhqeibT12tyKC1|&n$7HYUvVPS
zEl(_cL>MLS3M4&MQH0pR#E#fuE@WD$UOfJLFDhu3P72+v2m`*ZXYNSwpq{H|7Ngn4
z(4O+WFUr?QpxcHsg+=kAU&p#@HMPZ2fvONujb0IemfkXWh7Z-hef+g7QUduzuuZxu
zDnewZCC8^|0VKH+aQNtZNi?;saO7QtBK#x;Vi#oys6m7feVi(d$`1H?-kef|oW?`v
zRcD1zPQuECtx_V&HaeCnnxq7YVP2n^J4H~tK{Vf0d0E7}+C>nvCquKd%R)+*C|aF(
zMC()|hd8COTx)mkALq{#z#_#^N|w_{D@z5W_RQ)?WD5m`+<aczWr!m)iu(DXeiHJ`
z;+*5&@iV6p_H(AS639_0{P*W$O6aQ#Z)oHW2Lew{?~_SM6hp`Jj<1)Do;)6&;&fL5
zJHws{2N7wcb}Y$vK8u3#hUrp#V^pEFMd=rp9TE975nQI_sfgsT`}=5v8We7D^LEF{
zAk#g^{ip?0^x}&@Q>e5Cj4ZOH-7Awt8znubbrz^-S3%1m?GjCZT`Hp4^>RqfkmYhM
zzcOlVs-hg!(FWNeVNk7;N4kGmY*m?+(S*-u#`-}WkY*X`Ps>$6cMovj&l;$x9?cA1
zxU2`FTzVpHHYBv~M8el7pd#Z53)(F?3<{Sk3c@={$Z`Cl<GqU%q(0;p^3fH*;L<5+
zJt;+`aQJ+{dkHey%_aZBf!hGO{ExPoXepxIX*WX)zLU^Bs*XfOl>s!-MGn+*Dx%v$
z>MprP@+kdDf6JJLAvkY3IdGPf5KRc(z*>k5+J05`DJ;(rwvKvei!+hXx3@o>V=qgg
z$rBydV@3_3xX*2YkEDReZ(c-8=ZK@}E0v?YEJomTlfy}1-_E}GBLg@i_9CM2kzrcS
zog7riU+SHZMMu8mbvttjBLDq8-<#JAVZA=`6W4VaG;_|gv_Y5$#UJ+>?Q1uL>2;g@
zp}j;@`d_NDu?rijDX|DVpJWIg=Uv|0+?7IlB&aONV?a&+b-DdhF@%9H1`FT$B+-JQ
zhkgWM3ny69OoewEfTWgdAo0358pyU5*HT-=1%=0oZv_~DRkn8!;t)fEGuMYDI!AHb
zM%UufHo&=acL+k-dy&}t48O+`@9}Ld_a^*0z|<FQmZUHtWc-sgeeJ|+tTvhPEw&G!
zr^fNi#&-cUD)F`S=ALdW^O;$}oCgM5TV)Al{(OjV*V#Hja|m;@(lqXm*M|{}kl0Om
z9&|eH<~7@(5zI-;{Lih2dXN^p@?nO+g{*_b618~7uzli+T>pA?p|^CvCFKk|%8(v!
zxe_vl4a;e;1hVTw+vuC_Di&7sWW8}rU~m-ks?dGOZ>|Gp4n#e=x50!$y8Pqbq>W%g
zCdPeJ$=c8@m+Vwxz<@$=0()THPfRSMyt3)D7LZ3+N&~uS(NFuQ&Sw0B*u=!{ih#XZ
zFr&GcW%8T`^*)LXFVg;wefE3nRTQWRgL8L-UzY#F%bmVEu?Tiyxjm<j$h_46Uh%6#
zZ++MCsY~|zHOf9=EeR7JY9uw_2yb<8bjDx&oc@B93U4#!^-lGg@FjKd<Gy`Mgt&|c
z+i>9{%GFpf_g7WHX*HNxOwr8cUc|*-(<(L%dSe+&s)wQ-)gUWW(7*7&JRa-MUK4Td
z8P0OaFi5CL6`Y1Qlzl5_@r%#jxRaCL;53(dV%yYJp{UT9mI8n9R-?nOYXv^w3!lgt
z#~!JG@qf2eznV<rJT3`%hvrxOMUd~ob{Q2oy`kA4@cb8^DXD2X_oWBto9c+}FHweS
zS#r|;3zK*S+1GLZk$$`&LNhg1Mj2YCY*K^^Ch-0*zuUP&hw!Km$}YDmsE{Wer&`KB
zf!mus%J8Zm#`QU>d-&9-P`6t4LAP-ncc^Kd65txcOD7MH_9F`TCKZ_-eKC$-{kbv7
z5IljOk-RC<Z%cv1!YA7m<KwvYal4ZiQ@?Q0pMqU<O*^^6NJI0V?asMBC<>P6f8*)B
zLn+ZSN}#{L0u!5^z}JiX-D;F)aUyf>GQ&P4IOmnS%k0f0{;PIjsf~FaPdvV0mgJ}i
zLy7|F=idFo!w-51<fSd(vb1H@)9EBQk(e6L$~2AZ1}OB`sV?F2*zqqCoeChi@L-ZI
z@;A<@z}U5aZ5eOMkt2$WC_s%tndNJ-8T_qvqWb;ezj$$H`uNaEd8llOs<=fnhZ`49
zs$?v$;dY1TK6w2n2W?~<u^RSy-13Wsp_IlZJ}dB9rIKF`-2T>{N!MM#N$w7^T@_on
zbd#T3&yMdTORr0LrY_=nj-dlqk7*Ej?F-l6?=o<gWKda8vy6+f%H;$TY0<SH!3=d%
z89010&8Xte3LgG~(fMd29a8vJJOBPA5dxJ<^3uIm@!pHiE>B!yK%L)z_0v*_a7gD&
zk*Ui%&imO{N->lPU3fy`SFe=b;qI^s!T3%5%nR*5&ofw%teSZ84>f71%c(m0Wq1oe
zu#o!G>lZ8fx!$CEtw{<VIyFyvAQ~h-;%I##f*tLy&C=WDCIuhqY+ik*&>~^$%AtWG
zPGnwnuR`dbBxE%c%sE@=P=;~NN{$jY!hCK@ER;!t!}TAHF$oOl*}N=G`5+Gprex>z
zdrHDLUibd_04C(JCOaHn%ZFS)FEB+AC1EM2^hsPI3zFe=OuF1CfUXfor)xGOAemGr
zn%2pRhy<}$K^p{QC-tduZCC=THA-(cy0W98bS0676C&tBb3)plK?zuC>Q0VI<3wCJ
zUq1D+?L%_6)KqO2C177F7jrHzH!|$}ZZ*6jhVr_41z$@_f_6>ROhX+HO7zVN3BM$P
z=rwf?(uYby#J|roXHxjk<54|zKNTs|Z(VS;=(i;NJ|FD38ZUsvE^%ADr6D2*sh{T4
zX;Kh$H8ak=gn-&?$6poxmO*(JHexwWN(0HdI8$~>7)>(elJF%t<mA$*DSn;^&k43t
z#51CZwO!Oxl8=P6YMbJhyJSG5moYdsRSfkWCVS@ZS3(TC(>DG@%YjYwUin8W;^@L&
z(_=*j6!iPZamMT@1(;Cz=TIFYi9~xJr!2cu(TyJb8hf822q5LQS9H?ITgD=)^Ncdu
zuWJ%_(~bfO4}Zsc<r7id#IdUf&#0i?3O`)(e^a5L>d4ay16j1>e7)}a0aet~cZty#
zR{=uTz8(LQL&41bDGc;#Xobtledw(kv~qrsz#|k;&H}}j6s?AwS?a62X*A(cJKsZ|
zRT5fJ)BluQu7;E;;q-q!w4v#vzgddC5^~t%q$3-zhFoHT$g`cg;JzzOXU};udQp*8
zcW6x&C8)g56tl(P6ScBMOND~G?w=crXH`XZss}}V`v6}4o4Rl~j)KTuQgp?&%4p@Y
zvFWol1L%BjE|*$FL4W@}T;=1WqQ4pijUg+B;7ct|Ro>wwW$QWn3{52z&E;xt{niNh
zB2Gz<I#W=_`1$%*Q*uZsui5tXj-LieRf5S^GV&Q}={|N+8e!5`@%eURh&C}*%Dt<E
zZYVvEke?JoIH~o7$htASUkzNzASfa{fBNl91p>O*_wgRniZKLE#yGM$Dxg$O&WI=q
z7vkqNS}<=m29FPl!8eb{p?3Y>SM!PV$j>ruR_=^3_~kS_RWO%9nv8d3g|5uvE<|(g
z3)@CJ9z@b3i%X;5Q^yABeso}RPOtUfMj65L;iG-Q%MvKUL^&_Tav3Z1{Gb^A+Yofy
zt>DcUG4v^%qsmr#7u4ml|EO>_gez3O-CD7GQIY=9?GP?TF!Yre;cYa4@n}y5?^FUh
zCsPq&a-RhTTI1>I$p+9E%+9p8iw`N@SPp+Lxd&<!?di(z0a(VD(Y!pujfDJgX>G&?
z&y|Kw*a!m191ut>_FzYMI!;y8R<eU{)lWY`MGUeh7S{h=W=5SHB`;D%IiSYxp8p;V
zeF!*uJnfzi9jcj(8JMARz?_`aX9*iUXk@u98}oA$XM2!kcAc36(i5%(mj~%WOZ(F=
zbFhT>+ceu@uh}6agm}97o(_O}roArXFWgAPIjzB+9h!8%-n#r<8`6H%-08RN#-o(l
z-E+3tKzy6$35TdQ+^Y+REZJgA+GQ%frGgFQzQ@uf`)Pq~=E{%Y=5JW<G@nA$X*SsO
zcfF{CYr<BsN|^c4aZKmoiC?9bY_MA=Z}PIRCg|8lzA!&Niz!{w#Lk(s!Bd~*gg-GF
zuoP8#X|!z-I}sY_|H+>Xy0h%RZcVC#Y41UYwxqw<;mhMaan)>aL@)R3Nf&h}G*gLB
z-dx9m2e)ok%d&&e?<)&4pVZ(^R&}L<#um0|%PYtAmK}7)mU_Ic)PPa0!>F~82L1;C
z0RR6Cmv=nXZxqLkYwv6Cy<P6T_WT}ONn{j7BBLZTWmE_$h0KglM&l>DB-DLSL<2=C
zvSo{?jPUdC`QyCKInVR@yg#3f%$U#fX&hj$es{6rg9aSf9WOH$qJcG~;eR^joUr69
zw9|T61N>wEgia^Yf{FFnl+iDoU~c2I{a{iZKHSaxsI-CuavEFU<#;Z*Sa`8GC|n)v
zL<9cu9HWPeHIv<yR(Q~=(+j}x>R`MvknhmN02L>H42Z~a!`u2gev4W%1gv#to0&2}
zAx-(?cu^iO>8^BXcP7K_b>4BRE@o){vcgiQ#tUC?{{*<{$zVQ0+V=Kj1=4`Qxhrmb
zFjN^cl-5WBvRv;AQBHO^-_ZA>{{cTRjw~fNpC^Gea>SQ@=75U8V>787f^a`2@q)BI
z33dhvs%1l*pwJ-o>ROf%$WDz01TvC9cOTbw{&z0;z;c`BvYrTRl&<o6jS%5Y^^vx^
zpLnQf?iZ)p6$N?&4*WPGLa$Jkv>gu*%!jtb9i0$|>W6|XvlT>enh48$dVm+M4qxVP
zT9ts|4SJ2-2SoT$uXu<$j}Ml_9OaMENkP*^B7;U15qNfakBe>dL)b#6z_hG1ylI|&
zE!<9onA9oLXXgch?R%4&m7@%tdiP4HcaaFv1}Bwe7=(d}z5eQ8iYySGkL4}Nli<gO
zfUr}g2pDBQJn!&H4$krC?TYW+p|Y&gq~VMhBpi{|y)C8ymbU4ReBVg$jAh4^U0edX
z-{)r)`zwN{^{44DCo+uJO@+VVl7tZNc<)mUN?<W(bmZkM8T@qTx$m(`K_%nXbkmkH
zWG~LADd(s|uG`3VIh!=(?CX%SP$K|~hV8vn4-MeUlUVV?@6G*HsyTVTDy)a^_R3ml
zLVldHObfp(=yq;h6fjeRI-EJHhq)FkX_<Xn5R?PPp0=*fj6_%upzdgJ(+0Zb*sAM1
z@}Td|CGGA=gypaJp@^G0fKg8s6w)X_tk(D3sAwX1=?)w%ey<A_huB>khZSIYV<9st
zfe5q(<hMP-`cVB&VnDn^5h|E8_TBO%0+*xi4cj0C7`$b^K(k*7*sES>>+%qxqs#WR
zX`3MgJM-CmdancrN77ep)YYJCW`3566$1m^o}pWc%5aii)rx6`07TK*<yHxRLEMl1
zQZCAHD>^!eWTOJSue50rD*!r5N<WwG)t|42(0QL#0>!2`QZ5R{Abcq@uY9l1uQmKG
zI;;Q(Ie)6}CL06we_mtWol4-i`bK7c?;iJ9TAS5}jNx33@bG;-B@o^zm-+HW8eY?-
zFm-a7z-?zArS~z4&@0nAa3M?*E_b99RH>T4ml^Bnn|Br9vY_zU`4eJLQr&uXRNVv?
zex1=ODUt`KhXT%ioI-G6E`gmWZ31B@4_RJ}mjgGKXf;btJ|OqXYjW=z!|bm1?|vs)
z_&Mu!xHkw7)us9D$GePyaIKsEl#mQe)-1I@yTA_NU9t=e*Nj2@UG`4S7b)=KzN7JY
zju9^P9<^K5GX{Nos#?=*NeDmmHa1EJ2fA}+X+2W_INvAAsm>CxLrudFeuN5QX5L5q
zO9E);d1qd2DF$P9PiuLDH!(B5mAP;gfD?8XQXKvY!+nB9O<ekK%x`u2bl+_ZQWdpx
z5?%|!Haq1J-~0+jQCp$W?Kc9ARpoYzdVbJ6LKnEdbP3yx;j<FvHi8>vwHzkzctQKb
ze@6dc9%FlRnemssA(WRLoZe*Q0m*#o;+T`OSb=NS*N!X$cyZ^r-nKs;rY49f4qY>t
zFP$Q0Kco+L@>WAw*EylcVNrZte-?XUeUP7CULT5G#@-d$bHKi&OZ;+)bC|lSJW@EX
z2g>nYBR_XoVVAqx<>r+IEVi_L@q4E(^!!#;eY?U8t1HURwyZxfQOjSUWGP)RDdaT0
zD$fJ~_q#4s<5n;cgT(-uXdT%1WbA~|9R^TO|5I?X_7|4Bde`*Ps5T6g@)l7Ypa<@d
z{?eetHH`GxaG}OR8{)1ye3~WGLBdht7cQ6oV9t(On}ixI2wh)tz-(~9!_d%sH)9=Z
zP;kG`CZPo(wlQ~OZ_~mcb&=4e*PEED<UVcF3{9x--B^iWr-f72LgTsI+t>(i$e%W5
zO>i2ME;6m60q&yt_~FaD*rz82BiF8KfZFR*iuM<1;9lm-k|G>66s~nErP6DFwljVC
zIWHQh3<y$sdz1$1F08!ylB5p)9wTN0=V$;wbdagFjTU%gzD)Xas{?C>BPZ<x8hD|0
zbm>21I`D&)Fz35uxVrxs_4f@LD08wC*!WBjPaK~vRg%bH>RioU>Q4*F>R}~bR~aF&
zK!@W-2MG?mi5Xkkp@r{Oo=KDT%urUhJI>)rf-gn?^d42?z^(Vhr$^Y{`?!ByK21#m
zE!;yDt}Ar#;q~w_VLNtk6>~1>DI<d3M5x-6P<k-fH0hf$<pdkr?BzsTB4ki0@cLh6
zfSfJ{#(iO2;4C+s`f6JZQrEw|Jl4brQ`U=^%u77vk;yp;r_^92CNOxOn;F&uRW3zK
z@Bkljd5Mjxf&g89@~bo!h_OZ!rwVx?He{KR)khV?Z;Bjyr^N;p(_<+=b@_qZbDyNO
zMSv#UyGx>U9AL;z_7(Uo0Kc^~8%^&K;C`+~M|3nNsD&npcJ~UwfIfHfmJ0!fj^YIZ
zGPs~M;GyNmUJ>XY#c!UKCxA)2$C(@o9>ycX!*c(Kf!XaFFaEI*V2;U2#)ysw{vCL;
zk$YDHqU){FJ(&qmRk3<J!+USOw0eJzuaZDlN=bb#OMtwxTmRLJ@xiYw_bb<Aq`_8F
z)GXSA0EvrvP4STeFxVS4<90;`7!MxDXSEQ3FInMeEl~&#MTh^uR%C%Mi)&PGj~ku`
zKMh{QiNMf0<7?(Xd01N%O{1n#gN#RV`9;4)p=IAsT=u#G#L1G4YNype)I=pKomv8J
zr48%FTvq}&E9U*&aYVRpY}t~}D+v~t$P1goD!?U^Wy(M#L75+OQJAI_^zP&7%zsFL
z#kAkwyZ@2k@Ch0woVzq!xG&7AFQ*2NZU@uw&67cNbX4MWstkx^->P0SBLelSbmQ(V
zb-<M;+by=r0=r7^Zu|rhoX^A@UQyKqnDBC6T9bq88O2`Rz9g{q?A{cM(*hi`pVK#S
z1sEtvFFf5vf-LjE1*hNIz}!cU&^J^B=TU0;X<9Oz`i9LsiqVD4{<Ms5=1SnuZXo8(
zMh1?IphjUaeMs<O^4}sUgMq$iH))In9W)AD1+NUC;oIx4Pd1cc{S*C6bQB2&dwLgb
zPaA=E)l#QN*53Y+d0K3Pd;c}?J|7(w0K|tplHO4Pi-U;=i>QgfbkrYXdkJv&Pe|Em
zRRU<1ZOjMn@$S;3&{E+kW02hJN${5<K*%_*^GBF6jLS+mIBXh&_Cx8R<S#1l%=K;0
zJW>Fa-MW@P0VZ&e<5AO%Ln^TU2|KUGxGV&amo~@ROd!5flQ-s;GK^j5zSyuT1<r8_
z$7R<|;H}q%wg2*z;Kk*&w~6c$Q2J_IFox9>=H6Esb6ik_7v|KG^=U$2<M!c)Jgq6<
zmd+b56BNLrT@SgR=7oi-gt&ka6X^R-;DqrTIgsf+d6MfTCuk3UdUd$W1nLGMLC{tf
zh`J@|CKwZVbiVni<YEHvJ~)nOzm<m0i{G~JiZl@WBvMIgkArE+tb!$GQeaRL^`rXi
zI@Ug%w=0rw3`sO44}A6vK$+o=`x)Owtn5LtOcc==uIbqIeajRBsgWn9+Fu8;b}D@%
z##VsTOS)0>t-`QuBed(*T!r1==lEvx&>q*^?F7{M1mU9R=<8qC-%@xoKYrP1!{9QE
z|9+Ff2L)%Ggr4pHMtSM(G?o3s2(~&7+?_Jwfg!zshM$IGlpV`lycgRZ@1ROmQ4kL|
znHaFtj0s8z=kb;hT|;>2c)(~viW4M^rX_}ACn;wt4<sKuV*uS810SpES)n~nlU>kx
zk|Mb9y7pv=J|IuV<n34{;5!n2*3D&t^3kJQ=JuE#gi}aO=Suc`K3!(q;TK~Rn-c-0
zL$Z2MZce~)@Zo?uO^mhLbA)oQov#oVqzhfw8(jAFQ3F0|B}Ss|8--7G^~ooS4(KMS
zUg)Ua#i~2g3gb)rDd88<A``C;Fs-?Y$?N{ZI2Mgkr#*To7Z`J`eFL@O({;&fj#?Yo
zla;zBEPU;hW11ovl^?WVFqxmptKbjz*h{%~_e(uxEz_*+K3NOG9Y%F<UTfH>DZ6xi
z#zhLaF4qX>Yr=mK;ySr8zp#D@1uM?6T8ziiS9F*`6T$~NrETVxu?EdW-nJWU*f4FM
ze_OZ)j5Dx_6UjfZoqf1N&(6NbE)B$5mM!k(nn@C89LpjWk?8q3GvyQJ<HRrO;iJCy
z-$^-*4)fUZufX0O`!86_J#y8+I2l^9_zbV_&SF-fvD!*3-!YoJ<+24&GH5ZbJrbgu
z#mrQzyBtPGF$UU08draipe}`(d-vE3cJ0Nthfj?ruww1YA8wu{!OaPsL%iG5SlooY
zlHvU+tWM1Q*WBMd|NBnh<GJx^jL$V`x=UmR8=#k^PTups7bV!WoEc^?y7Meo(jU%Y
zK88%n9(+XDkr_8+IyHlF*JNq)*)3vBy*GO+9o67yalyq8)U(*f<ZW6Wwq-1HCX}V^
ziYf#JmWvI3oW(YuzHa$@bp^ZS@-XN}Jpm~1L$~1D9Cp5|v?W4t6)PauWZ+g*z=z6=
zYl?pXn_#QY$#}DdjrW|s!$#WEogggg{LMwI#jJ1jV$L6Iu6pX*pYzJFtE@WZtNRm6
zY^z64lGib<wyoHvRwbbE7i$i?wT!*|B6*snViS928JX(FqXb*m3-Z>BSFnegU$-l^
z{$XqLZL>elD1yeJFa6w~e_`$NT|{#9F7`Juz1go*0V;M>F77I?Vfu^}mwLsh;j-PR
z1jC+Q++J5)Km6b~76tf;_Cgx)UQHL9&feopeSNuz^<PZQse6IJ6bDI~v4Z9d@^Gii
zD(a=s2DaQ!nGEKjhx_AwFV9|<1KG%TD#AirSRhlCmNp|J++``f(e_Uk##I&1U9;K7
z%1#FPOp%!3mdyxL+Z9>xGfRm0`g|8-dECb1m&OXRcP*zFxMV>?L86mPriQCSZqa-y
z96;aSyJP=Q2E-DIy%QhNKy$FNOAjp<>~pt&l(tU>eA7RSNL%0lr^8smnT3bt^fAL9
zzojAJxf1P77J7Jko5_pbh6gT~is{r=N`p~xg=FeB12k}Imf+R+AkwOdu{cZ`2Cb;}
zTS_p4+Bq%pS|b6tHDdg_@qjc4McRJk4QGXr)YF&GL<@mq82RmKEosOWCJWtR;(%RQ
zzDrNnM8M3q*(O_48X`|eUK?28gz?%+laKerA@2gDJ+YC7_@04}_s-+tTu`CM2Qx`{
z@+rjp+ZAc}Jv=k@P=*Kk)-!da2Bd&_*W}m7uhQ_s+91zqgBOx|tzsgs$$(CwYCYLm
zW-qU-%8vcvhbI>|2Fso0V64$8+Y2WP8OaY?RmFwCv*iqJl7#}4b5dDXPszfklCuuE
zp(2p#9wZrOs|1<haugCy9wa{`%+{`n!HdHj%({Upko{0Pr16vje0nUPzS$!IF)OdG
z&=skIM``2BbP*-Ual~s?8c2b#wn|`=9}%jeGh{gwRUr4})kD!udwU#q<C(cag1(yY
zv4w0^$W`_%Gu<x>tQOkYJ*i~)tase#X+04%W^W?5NjVt$z$LstQ5_Bw7%gr%lVNh*
zL-$IY0z_GkUpnBX0ev&YI08unqMa`oCyOh=xt0V@8=NMr$4i*Z8)`vX_y_v)mC6ti
zlccnERuiUep2~WM>%isPnQsDR2p}0#<)U{}6I}S;b58Z^!Jt%2ujM&a_+kD#Y}#HE
zf^TT+i&z@MPunCf=38pOLrjl7^jrfP%;y$E8!!;-dcX5Wg9yz5uQddk)j{O5WOWLY
zF*x?JoNkOHLhFk<@95)XNRpsvg^HWNFO%V$hcb!qX!Uy|uAB(zy|In<cvEN%q`s7V
znFuN$cCUAP6M*;Rbq)V7rXU_x?i;2<gfTuIV}hU}Jg;6iTK6*pe|SPWc~uR<yVE?w
zi)A3Xq}+D0-3$zTwwiq`RH5zTqxJ!H3E;JT*SNW02JN;VjmsNVz~Fkb<<2TURMYWV
zgpHYj^7H=D@)aeR3oPBvByz&lN2gzimYYG}@9*cwHWk3tc7t^%j|L2Lj{McKHv>Ff
zEff6@IhgtVeN<6=9xJW1UiTX@1#*RuBYmq3sK_4~j0ychIS`OBGJn(*oD<q5_3lUk
zZZ>+rZ1Xq8Wn|HM_^k=(a5mG=MN5EKcE-Gk8Z|QI>~Uq+F@fbPrwp|hM8Ip`;!&X?
zI>hqx9s78RF>JL>Cn~cDg3rKb?Kc<``Wt1P7lt>6id%mz`F(idMAEg~PgyL8Jy`VX
zhXeqzq`Z(9G<dLos(bShFB`JCrFoFFgTaWAI7fL08@TS@>a1L5L-jKAJ`LMO;Nx}T
z?>=rukXgUq8gYmnZOJJ`dNUhA-{gZbktrHr{5!4j@fbUr>|l}^lr{tyU0pW}_=gpE
zeU+9cup?5wRne(^2B7LQ(O5^bh6O}emKc9$Lvh{WoSKpPkaIQMY5&{|_V?fj7ke}t
zqVei`@A^~^D!d*0Yui6#yf%phFG)63OCDUM-PDD<r&e26S#ML6%pb3!ZdP=Z?Wux?
zr7j4Fo|S5s9-zoEZxR;LS&^}i0!`Z;9at_qc$wkQ6y=)z!S{*5tcb=&Vj^ur8@i&B
zv*kpVC>q}z3$6#TBHo^wT3a`5Nck`~+0L>`Y3c~%yO*)o#|rPA-Ju1mt%bW~wSOqy
z!#s&MzO$m@gAu#DI$GecFur&bzezC?*57cpV?!#M_u|tlH9=SU;~GJ4o5F)P*eqFO
zL%OjRY~xCraFW}1GFg}kb;#A5zpQ6RNg{vA^N%%v7@lLZm_&`FxJ+pK9&;eZZI96s
z4GriCz(3zyra}Go4`Sm^aiSG9uN2N!b!c&3{KxEoLxQ4#X~uXilorXqWa^|2&8B9R
z?DceLnkWCbMIRSR@`?O+e2EN4RewemiZP(uuQKM$s_>{vyDTy-nG7}O8+Yi_7?HWs
zell$-H>z0p`ASHg3~XCcxei>+$Xzds_Glds3S`rxwH_fsW7cg}=Moll`rpna@-Qz-
zu@!n8pH2dCN<m=5el~P%>yLP>EI;a=$#XEWAwj0#b+w<&97w=JP{t@p04@4|Zo+Yr
zz-&;=<6$T#%6?GUca%*C<#2QgUfRnOqVxrJSA)4w@|er<x+-BLZFM%%x0(oP%AGf|
zV(=)g=~C*yU{RFABcXgRbx#jHIv<-BbE9y9if@k{#SuZjU`uXKUv9hoDj6T(K?85w
zR(_UCpx%^uG5%m8)HU|<-jm`(0X3dWxi2J<aL?VNwP8ef%qiIy9mkKZE4niG3`-$*
z&13=B>qH2@=D=#UC4e+pa;1yeWl+n2_J^DbBJ4N%+U1=jgcOQ+Tyv~t5mB+4k$I8`
z#orp@Hi;rAMauj~Mur^XQfo2uRV4xWgw*-`B~g?nlpS0#A&=ZEOL9U|NN_K1fXb>>
z990@g_TzOFk>+g=(HS~29JDATO7%-1fqn08{kWlorr-W!@XaQJLAulGX0Id~8f#jX
z`KpXAf6hyBFjj|Kqh{oheks&JKpPnX1SENlU#f;d1F{agbo&oWqk}IK@?RONqF4Ah
z%ipsa(7|8>cV}c!%E7$<RIJqyb<fQ8zG+QBA-M@}mt|3TdRHBhmxw|)#%{AxX~Q)t
zSHG-Za%fQ1zRbXnh}s3V(}_eKPz>zR!p+JfJ0rg{2a1R&iF2js@;O~tdF;@e{Xqe>
zpBajDtRkY-{|tgVI`lvauEqrvC?eBO`g45QM6@k>Of^{A0EX=y1e0u)kQ!H)aJC&0
z1tA=BVYDIK|D`y<IiiI2uOtQ2G^rsi2K)G^PeyRS^9kc43uVOod{C4pN)<K8X?+}G
z2B-<I5&jgbj4*Z!E%|8`<QGWIoK^^s=pna*B`c$6Eo%(UOv)&@I-;pa!Wd*yN+Jb(
zmC;j|UBR563TT<Sc_2F37#?wOaI0`Aqq_wm{gnUY5bdnu&Yf{%DERz0nkrEV8R1Qt
zZEa*wY=6nED`F;Keoac4(yNFl7YbS#<|NTl!q+b|U;+SAK&`*|L(hR`O#wN*w|lNA
zD~{9~eez58n}Feb8prijd4yl=RsZ-{2qo^Ge}3N31QsmN#<$OMsFwSg-h3P%8tJHZ
z|0-+(gC^wHQ>C)V#jH&1dNUryk3F5OnK1^t^UoKHykt-i_v5s;ZS3d+UpO7l17oO^
z2sL^pB8~jwtBr<M7?If@$HR<AjltiG?T+0iNt802?GiwPLvYXGl?Tok3TNAy2a_ex
zUwKQ<!Y{j&=0caUdk+Ch_>2F|-4jE~`co|TVT1C_Uon5y3ZSj*c~lpOAXBy5t=#-;
z6q|D=2rKU~kUzV6NPR~TRfcZMVB}>=pw#ttcSa0sJtC??hxyS}(Y2*x-E$Nlk?vD^
zrbfVS*?2y9k{2a)dqcd)H02DYcZ5C05GH;bJ^jkXgEos4zWeS@Qi!^rhSw+t5U9@H
zXzz<hohN?uEs-ZF^IEE6k7*6S#LdyWVscMUk~8ici=3pqK62{UV{3gVZts61hvz^?
zFP}Azzc)oWLFeUbn4<@+u3obq_xE%>*63yS#c9fUftsA?SzVwHRQz3gg&D0JeEuPQ
zdX~a*h{Ng<rVCf^Nr&5%Fe3f9v2(ev7bwS*{PKx;Iw0j*^j;RnfDDO$I(Vp-DHo47
z$0hCYMc#ooPWT=j%2=rzRB2nG<YjqUU)bZz?EWbZ;qy2|jIE<$yT3}&Jrwa`?6nrm
zQ`>K8N7JH;n8Tv2rN1ei!^bS1?&Z+#)2EYB0}cA*=gKMm;xDD7K>yfCi6%(Ca1cHq
zPJ`4Mj8iTwZBR;&fAzK#)C7a$ymPOrsL|a618==_|52(F#ytO}YwY>IxN8Bv)aY+q
zcS=Ul4kfq!rqdv&2Bes8d(E0sBOCFk$oFYfsIYeG(QLXp9B@Bisj*kT%@cR?>?Ac>
z_ma<15L5@t?<xk5Pg0{Z^imEr`)H9TsXn`~gbW|!Kl-qgQX|UBe$rwa4mr*aOdcVV
zp?>`{uP-ePvKid`+UP`&u+JJ=zOPBJ>M!I)h^0Y+^sVWu)Ql*KeK+BUD+waxbn>M{
zY0;FV&EN93OlUStQeb_Z2!9(VqK*&HB5gcpGqIip1#Nz;?8qeo`?g=qzG@s28?B$F
zea(jO41}#4*j_$mCyV7hq(g6f`hI@h;y@1HV~RNY)xhOW!`7h|dh}q4huK<<3+WvE
ztRt$W2L2}&shYMJQ2x<31;ycb^fJsPjJ8A-=ze7KdATs5<eC$DEJNJrgqej@wTLRz
zsH7bh9b!hKHiwxW9^*yd=^Nw>O9_zHAnvl7z>0#J1G(>R@S%x`WLVcDz)bTfNzsKJ
z1vYM+<!%r_5&k|Ae&Z_efw*ZUpu&kXvwTBYbA?cTB@cGujtc0T@YZyjaG_%=ed}im
zMUZgtf2%8gDv&W3O~n<0M~Gh5qPtTJEy<jEaMMl&^3x5|HJZ4Q&x<iF?Gy<l>~bu6
z(^ds4e7Xg$i}NDOlQAvfZzWNmK_;`GzY6^N*LK+KE+1mQN}E}*rxPcOaUr3PRN(!$
z{^CF*0VE=L<{Edb4Ep6BPA$YjfP?M9XSz29(G|DmmV&>s=nMTe^_wgL_}i8IdetwC
z#GZzKmAfpD*6*5_njBOGlT@dC#combUXwv0nM)B_*JZKY(p3Z5u8q^uKg5x{@sV1;
z3MCZr=St6MRU*U~1q4R0N+Q?j#Fimz6?81%Z+zk~5ejL$)7;2XNLr0K)pm-29tw%(
zoT?%LiWqe*@svi^tnOw<g4ED~fV!=TVlqsZ^BMT$$)KETxMMv*MD*wRsJ?Kc`rbTJ
zj^F!b(eUHYDOx@fqPZg`rubU}MDJ(HTXD)G(t~>M;JYNWz11xH#$F2o1zvbhn<}7p
zV(#%)jAZn~*hO!nTN`u)vdbC#6cJ(UszbRs86AJ3LHo>C7X&Y2tI|<QsII;1qsbvM
za&YztXvgcrNgjSpnLuUa9^#w#ONNYc&&2oFcNl;xA#~@tp$g(E?|hZlOhP)l^;e{#
zj9~MCOVF2L6?Dn!So{0EISttMzZT&H_`}{`idhqo`$%b~izX3$cI$TQ>I3i$vY2PP
zL_jJG*X<beRguxWx1o4~G3YVVNty={&?^7qJXEEOj3S?Y@!jJ{Y#~LBBuzlZzAI~&
zMida`!G@Dw#$Nqr+1a9O739Uw8Gn9K7KPY6X#G5E0wGhAvftk;qwollsLD4f^gjRq
z0RR6Cmxn)>Z5YLk?7jEid++g_pOLJHsNT{rN)gdC3r$5)N<;`v%1)){NsCCS5XzQP
zLiT?B1NZ0pT-Uk3=bWq7Ll-tm+hS*>$MxtYb;`DI>!5h04E2+_c<QR2EvA{o_<!A0
zqfWn@vwFWMMrrYW?BP<jMXe3l-tMGIiA^%?YAO<>n4(qbJyvXxAD!=4^;MbjPM+0|
zdCNm(9GiE1^uh+spY!)Kc`8xCbkd?vwy{t_;=R(3!)zeRc8a05R)OlO?9^pap`-Sx
zyprk^uz{4WY;mTpJjK{N9`9{CNh)V&y;Occ!-LK@yN}+IrD~Ek$DaB-KrWDdFT|{A
zIHs@jg3(r*`ggkU9Aousl4jJxliCP0?ERW3v_pb=9A@56tFI?YSbvE(Z2?j{)dPI;
zM5&DQuxyclE+RLu<M31y0T;0kI=y_t)X=i9o4flUp;{AacWJ~L9vWP`svZeYIh<h&
zA~wH>sBP1y82GF)wevCMae|N9aKF^p@8ECZAWxf=y}1>(HA;NRqUWKU;ynk)Z2k}(
zPvs-O?X|=Ui-5c^Uk<8^cA?&e;SaH&{Y1?CO$)r~3uw-fVWmEak`L*ohlzZ>M~AL|
zGe>EQ_KyTZCMsEbPvC&}FCy-0-qlMo=D0Uqr&yH9K((B%kRA0HBD9XD%;W`{L8U9|
zj;R|RmD?se^pty$ptZ-%pQ|#(#>*b3#Zni^Z8^3Mp9=d3$?s8iiyWqixlTS4Wu7Bt
zg?@++>Glx29ykk^2AE({-7+Ea?-Z%IFsIHK*-7+Hs=eFu${70v%Ps4O2{OYa=)=l`
zR$|ODjlEmN7;Rf0IO&d#ksB}hWKXhvA{L504Z1HH0Rg5n)`KIY_msGjuwety&pNAZ
zv}g$SDJRjJal_=bNT1-XFKY?+JulhIf(^mAFWEICZ-~@lxFzU+x`OZw8`-1NYXIfW
z`fq<t2g#hn7oy6et`n(#q5UVf7$9G>?b4KSKe^{@P*NFP4q2ofnUK<=kHtrP8J8~g
zlJC5h2wHIksc7D>Z|tQHI-48ILKZ#br1SQ~W#1QMrlaF}@2`5`tL6L{@?RHOR%ROi
zqx3DgH1gH9ZMz;qM3qCEYrc^aE86}mt?x<Of)Tr%pSn25GWO>}YA2~!>v@WMteJfE
zbBrb9ur98ZSr5!Lc91vp8vJTUzmVHECZrcL=|X^!-E@~<2RU?JZco5O8@Z!qYEP=3
z4qWCKbw0XwkZOj;)4hzHWa6FPoezApF;!!BZ0uAAx$ex>UR(7pl9zhhe(ItYaz5S;
z8DQ=tOM-pHd#ZZK`kCa^g*TeW_51x+<$Whf*>9xvhV+q^b^gwO7&Y-iqv+|O)^DWO
zIc}d7>j5&GdEZCVwHgqKo6Rhe>muLNEAF<{`axdd3g&;6qz?D|!n$|G-DLGJee<~W
zPf~<~+x1|F8b0d}hwdhO$Y_--C(|Q_$+?IS3vEp`aHe;hY_IPnKT57QknaCO>MAn&
zbjPcL&TTT=e72ALn$^hhIc}7^t|;evs7nPRjDdP_E(4^^$@!f$?Qt@+`><}8wF;KM
zJQk9xA0!9Lq?c@K{*iaX^DO!El~M2aYCTuj5E(k=b$KjolI#t(-oehTjGLnY*Pc22
zA_rQh58iU0Cimwzu)m2`f*<W|rOt-m<UKPv2Knu?WQ*k;J?Ak+JSsYIbuMLue11Ot
z#O<5&q}BS)W48kpLHF<1`Fxf!QuO1Al7He$B=zrQ@%W$u;_NPXMD7_UkDZjW+1R>5
z4skhOaSl{K{eo=G%isUV-t739?ZNbv<8gQPfl+ysSDLu0rcaX21uRm(1Q{vOBUO**
zqUGVx-}<onz%=Q4y25n+=Nc;D@vC)RJo1p&V6I(^m?a}M1Kl-8n5n{nxDE4n<PbZ|
zU^4M|o{asrfA2YEHp=@{lK7`}a!_=rtxz&pBHtZ;v@<n>gYvhQ*vT;_3(3SQTE%}?
z$OxIoTkPDpsa@_hj)!i_LiEmUdbtRCs_JdZcv1l`)l{0$$gx=#&T}?zv*a16OS3y%
z5}o)dhhw{{I3#58OSXc)d1eiD=WAl)25~{^NAlEvzdp+#jIrd4$PzPUC9>I}MO2uI
z`(;;Xnk0i$-yL|>OxUQ=Vr^wzCs8WPjlLslw+x8b-6aC|IjHtqTN2Vr#VPjrAeuyg
z3`9lliJ5Naruv>2#2a`^QFWbp^*1icpnx3vD0QEg`eCKnbW&25Vo6Eq|1u(j6_)J2
z2p4`TG$X3p`=J~aaJn})$xar{M%Nh>gaxVp_O}!)`72Q8(>A4`QWmPJar+k8g{h`=
zeI8G1CF<^r_x|x7a@fvw{?ubFQR?QE$UH9#70NV=uKv5MJf?aNti69ioZ8Wwm)!WD
z8YQFrV|YSM0rJ&r)smQ`D7hwT?8|ixN=`bb_V7_fIL#^bYt+b4S8s=$*)*X=h1n-b
z(+eu&=PP%S1W!5Y_zi=H<vO~Qqk!72&+MwOXL|iGut%PnQ8)kOwpWh|E!1SU-J=dw
z{qV8LctuL~nDFzmY<<f9AT9Ezffn)>xn{SRC{s~et{IW94XBCB624WIy6E;Q5MP{8
zp}tJcDRnj*QWDOY4`ZbD;dg{fS+z!u8qh2LEM0CyJ<|`)k|GRYaGEu}Ct8Er*zEhc
zb*nKITYEq2MusuuHoft0QP-k&Pz47sR2fqOO9ov^s%D__>yF-dtWB{8GOORHG^U#O
zDXej9w?Ll9_ERz(y3|9BymlvNV`~2P`h@q_t&w%i*7x#tU1~&da6xjv5#=;<Ov~U7
zuvT`PQ0a;;^`kXtJA;HFWo#k4*L;kI-|sag(v9^f`=}|0`fd7@H}mTk0m8PJ6v_)S
zGt;Bi**w4EX{$@co>DJ9%Vh^XL&exNOnTJh=i3+0HEB@y#OiJ*HQ2$U+UKxshAy=(
z;jTtfqcXMr#my&Ao$Mh#YIn$KR)_jm_Cc%jxg6CV^mxfW(H_4_wU4*%)TV4yy1g}@
zi&0+~w`8&;+hc>#wYS$}G^snuuCrer^HTdpH4Z2G*rSEF==+YH>Qs@YO!?ZK^i)Ew
zjm|9wdpu`vFDsW&rC2X0(Pv)zMrPQVeqT6ahtl`o-X43QL>2x>96y^fN_eMjXK$Oa
zMNMsk=lfj>lw>fcbfqXgD&J|^8*a75+U~L|yV>Qa3tczUPg=3!bs%@XPqhs!9Luz$
zE=W-h;^}mYX<WEBd$HlYhz;WPL!_lF#3;>l_ut<uc=4E%UC=X<hGEM`mqj&&D53QU
zv#%NXq2@IuzOf$|Q5`f0*v&`XwfnVwS1Uh~pFOLT*$BKZDlWR#!9h*ma*GUd7QlXu
z@Cyes2=Hr=_g&+esPjG|eux&p+9xsk=2_M_`GzWVJF!CYe7+L*H%0&=(&7%?53R6o
za|yk*_!Mb+ys#)`mjE(zvW|E(TcW6cBB$c`5Gh!Cyy>H%04kRocKgs-g0t+l8++F~
zl9n_&?9U*8ix#un-db3ok}J7@Gyfwo^-obW^AkUQ=D%Iu7jKRPuWM?v4TFR(A=6!d
ze|7$XUB)(_%^+JB`Xu?^7?F1@)}ShtAD8NE4hCtNVZ7{!>9K%mqEc(R<Zt5Y9xh5&
zs$Vk2MCu#OLmL+eg6@hj+ckbf*q5mMoHxP#hN{zRzN`@Yn5{yG9`j>NHZoLezX|vS
z)py-ppvThz3H{!2ejJx5Ps{sZjN^MmMfra+Lgv+mb-!%{(Cn%)#=gfG6CscILaLZB
z?)#rc#RCD{k!tp{`D+9_#eL(pVJvtXC_YE(2;%J{GdYWBBm9vQKYL7)4Y}+IcS0Kl
zAsG2`c!AdliU!Zdwvg-yqb+!dBnZKN-L--22Zq?eIeGT}4o=)W5@SriQ5ZitM+e>A
z4DoKt`cDZ1H_{kFeuWbv$P*s5+AwDTRp}a77x5sofI*<xUKB3R4LZl~89?iGm+ZF^
zUYzjYY9HAx1_QCi+H3v>xTEA^Cy>U6^@(*tyKaf&*`YVoQ)L5a2Uoj`$MYkEZ{AgI
zK>}wV(V6`o*GKSCe`H3k-g|-FNjXFcp8~n(>)z<&uicwtf+qy=RA^Mucu^Yb>DG;K
z73#xRna8Q^vJlGqxtan!WN{)>;mEm5`nYpNJ7G<gFox2aO_B}d5dXQrLGFw`hHu;$
zIz23cm*zPgJ*!;y8s^#iF;O4FnBK&pBZhDbE1`X23Yc=)E>LhoAOEDS&P<;aM|9D6
zP>X~jmQLo=)zs)iinURB^B)Q11vT#UQC7m8ZMQ0kQGJ|gA5H4?mx6u$@u(_eWmHTp
zJ9_IIfMlfSs2q{T7mtu6Iwuu;YC0z%d)5H{dlYZg+sNW|lfu(`+f=dTr+DYBaRU^+
z?>2^z9NwwB><-<h20iOe@tROWD8@$Q{r)3|c2}>54k79gnTWDrVl+a+Z%J>VI(a<Y
zb+awRR|9LWHgHwnH^Tb5=&hOg3Wy!bF$jkyY8i9AGxr)}9k<ny-^Uek$W(Km2fY@E
z9>J9s3lkilfA^hXlM+HKCM~M7wD8hh_P=kkrr6N6OZSknGIV3_y|U-l#$&eFuN#ET
zAaF)m>+rBLycUH={yJ-euRUwsoTxc2XO173%2q-AP+$5ncWvybbyhA>v_JyK^oQq!
zD*OjmOeTf3ahoTBh%>aro4Zc`vg=fld{J^U?S>YrvyZhrv#|nx=H{dusbS-0<*4J`
znz*4jx7OUz8jMJ75lc{m7*|o(&OQw&r?_s-rV&ULPYTp8R>S3}?wR#>)lpHF^0$K@
zX#JeN?oGKG%Dk%{d0D8TOMvdw@KGTCpD=x8ni|%a#@}wvRl%;86;jvV1J@PJTV~zW
z&^+IM`^S(HS`A+97Uid*;gySQ!H_DR`YZ%DiYa1X|F$ScI~oppn%o`Ss*3n!k3eQS
zc}RPi?0Mry!?QT0@82G&pxS0uB|BUeBXR!aod;-G)8E4ovAVawLm2q8QwlkS>zfY-
z)9}QpoWq(+86|6bGcIz8qjvH4+{`8#oI`dUV3$?`zw7W^_M9-xpU!$}7_IWzxgqkK
zoFcR(Im`T3IpE#8o1Tf82J4uI*KSBDfLX!MOt69v-<S0bl2-faqqZH~V?y$X^K7g?
zB+i33Tb+5RM6BxGmsgla4kmR@3P~XxC~5WWI%)&lPP3{0z$ptqN@4WCPF9?xB9GP#
z6KMR9K9{d34YgQ~=a+vlp+xShMw26fBPSOl&e%z!J3ci+Y>E+UViHeX&bP*)@-qcT
zW5ltr&HBbrECZr`-16sLvcm2B`JGvxM6r`Q#VX+lJs!=a74>bjg8BKeN4jf8aOL?e
z!KY1hD9^7KbT6{R&OIhN*V=`UY5pWgE{YCGZ8r29SuDXVs(maWNf5Wg$BVZepu<Y=
zm`;(O1=4eIP0&{W<qzu}z4PgiO5aQj*P0`?=R3=!H$VQikB7T)(_^bgV)-E@b8M(M
zwKXh=5AG*!)%6w9gI6KaA>+ImLRr4gWn}Zhi!Lj5b`Jxjx5%bknKFf3^F+k$E*_jI
zkn<^ZVFX)!hW<rAQ-skm*1vnqjRtky<P96v;BfKhiU%zwu<#wEm#ybQYC&v)#6c#g
z^5*PdcQHY5qKLc}7Z*MVtMgbtVutiSHLaI#j6p9{tCt$j38mr252Y-upbLuD{bz5C
z58E%Th^lZRY~<=E<p?%-G|wC>uQ!7H%_YVcvmBsbaH93C;Xq&M&;xZ3BYa#5U3xpk
z0YSr>HD&iXfd^UPk==$^5PVVhP?8f)ueiM0L%1QgTkFM#Fhj6B{P2?&%n5HxH;x4r
zUhsB5(b&#rh_`;PB~$u2ku}up7Ng3CTbD+Rd<zZG__oG<E{+Qxokz<!&H2G2d*qqC
zqXC|0F3LzdaKpiDU3{m{s=uoSM*Lglyxt8-j-UEG=)KGqq?IO!qrEzJ^>X#W9N%I>
z$@7AbI~{JlLU7{!((JZLA6Ir%Nfwg4==)alG|5&3*>?-?y%*Gn2?uj}_yIl$ii_8(
z*NEakg|sx$p@)LG@2zKz_@N<p`mVd1IQa7iwz%HW1IOhj<~}?E5PRR&$FS-<aizD~
zA0O8PSGI*>=&}HUS>l2@UPvLJ@POOaU3!=}SLjP)6oPoWXy8Du3_5I<3AOclNPeZs
zxItPNz0;-XO--`cto}#Tz(Eh`f&cW`-9_-g=byp%b~*Hg{Ww_Qs)zfb>-(Ohi=uq?
zh|Sq?c?j%gm9O*F!=STpd;F{zh|K+Aje?4xf0%J%;fx+`&#Fu#R04ZL@7BrMC}C_O
zAiC_i9$W>cf?^gWVRceAVcSt<geOKPhqCHp<z?ZN`%P*5YWdumS)u|u`bWQtckAQD
z9@Sh$4O!4Mlwy=dR59jM%-++XkME`Tt{1HS_nNaI{GLkc2xk5^=Cs=Yv}<RXpDf5B
z@=R~YiH#b#K41|ywR-pE^Xd;{M&!XJ^5O~8Ax+SB-DHk`V~9wvvjP|T6mY-q^E545
z3sG+25v(_iV4lO|I^Cv-tvg=ddg`x@t^R+l{+u&LLXGKq>vu|U4?QU3qo{-aw$Gj=
z$tLjHZ_u%&LK!v(ghxM?=)io7=f0NPrr>h9aGkuO0?kcF@2}A7;<RE-Nolhgjy^Kn
zeZo%_u@y)8yx4Rx`QWAHK^6<-c!|q}NUA|lu<VLdn+`}*-xdj5OBnUa2)jQ~LxJeq
zh953EsLtZ)E{m~(U8cCIf~h(*HZ*ZWhHIltO8)PKht?4Ajr_GMMIHZnw>Ld>)WTwp
zgXx`*1T;ibUaYTGhpnSP0Nqy&+}tW`cRd(T8qcLn>(mi)Oi?sgSsmB8gV~sR0p?FT
z?aFf1p>5SD%|=s&l0N5HwhaxJKSgY<UayWOWj#Y;H7Bs%+SYD<kp`ny>Dj7}YIx_W
z!24E65p1oucr#wpF!FL(DMnol{kpHyl1Jt6X6;6+!-F)iHi<HF?^MNs#UK{f0vUXJ
z%heY$y83>M=;6R4Do7K1T~m=R0j&V3*6{%v9I|dUn;cX|{qZVZi4P)($ugRxucJZz
z)7RXS+myibMC-+q&4RerSQ*QlNyF@^Qqw)AidgRP{<G@t=yr+>OxsDr)`jKGFF6$;
z#9X0rO^6GwJ+GDRC1_Axk>cm;mV;2f<^IBOR<Ll~KYe!9PoG71zcwtFMX$1UcU8(7
z(A~;wN{avl)0WB`Wo6LW9q{PX9(p9!mEYei2efC`db<3T#H%o4gZ1y0h;FmL5giu@
z<e2Y!64@#a@1}-U=ZQI@uPbql-4|=Td0EJo{9P21hWxiLE6)&X!!7C;#jUYD*XU#{
zvk1id$J{h%Q^ZtCap5&zE4&bAu+j7s!Ziz*S2J>xM5)8`=fnd`c)B0)Jo`!j#-0Ct
zymN1Yh&wVG*f?te9%+BK=l}6z?F-921T{er#?41Rud`V7;S7asLVSoHN5NX>Ng_e>
zlwkD@bBq%m$47qfU~0*dsl{Z95ar<;e>Q0bq4d$rv>`5BUpw%8&*5oe>D<MEH5<&p
zD{{@eRE-m#ER{|dPR|e#+f5A%N=zZ5yXW}QU3S!N@edX+nIm!!R`wMNn}R7IPJlmv
z4W6;u#oad+h{eu_{+uUFz~?NMb$$~o>}P5|Z7N?P2Gc?WTSkn*%o%k;HkJkcCC>`G
zCsv4xtD5C2JB)EC;X*@23o{y&Br;!X(xXjnk#?cg2(Fp0)kC&2gU{L`{7^UpoYy|~
zjM-p>TmS5ylyfp;K~jowcLO6%)0mXoKN_Oy5&J>AAtrR6$AOEcOjvwabNt>$L(os{
z>C*hggiGhozw>#@j3`I%1p4m=xb5Ja_l1`k8!b!o3%pp-Bv2VQxz_;YwF$fCw=qM8
z-_0wHjU8M3W4`As=)<8xY-4#NGlc2g_T6pgfcC$m?3$_iNM3qB7_x%}(t^&f^6I$I
zCS6+kN=qM`kJVlt7Gy<lbKk3&b{@2^5n;=3(!-VwV%laStl-U+oGEAF!&f^mcb>y~
zD9J5Ne)5wIOE%wfdW`u|CjKUKi<}<*tSzn;W#vGZ-LUgYlmMbl|1=GL)<u+Q%q3eF
zPB?zHV{QK`2&0lyU8+gC*x7VZC#aGO9sKjIW^TgByia;QaMi_|w79W32Ohll%c>si
z5rH4}a`Or6B3;7HdTkspOe?K~Q!k3aj&~(eu}KF(QZ|y42l;S-abfJ^HVN1leVXS@
z&{=IMd08{j{P;7t{_BdP6fV7ez0$tQGp_Eo%j>dM`(drw2JOu<$PAoTsMgZKv-?e4
z-&zFmC-SS+%1c?aWyl{lRMo*#%`)F~6=5hUJ<}#v`$Xo3jsx<94isMrxvae`f(1Uo
zutg;WB;_fL-#e^>k5w-dV#UP3yoqP5D?||$*EvP(Kj@(8dhOQBPsEX(oOx{QwGy;h
zxKi6xbdmJ@+t<TKBw?v}rEf-61sk=cVnbtep^)aoaMeW`x7=GsKVDHq$Gq0ML&Lhb
zmo972EhUTGIk$Qnrq$ejvb*N@0X;On87-KSl|u&v?7kk-K-PHCsb~E9@W^?#i$_}?
z2RLl+KmVqQ^7#WwiOu@h$C=hCW~%`8)}QGmhT8bi!@l!Ou>r2fJ%6ypM-exzs|^>!
zbr9@u&z!hth!V@sotq<+kP&10&SkAGMj{`d_I_mqV=eZU&QxWHig;^~PjoTyD*2z|
zf-zpVWjFNXtH3#Qi7Sy;58_%H&~Y(^lB(0WqPwanj1Vh7Ow&VP|CQPJQZr~D&E7kj
zp@xVbUROS@<^wIgadB={3mh7cQ5p+VN2berpDAfQ-1E8jZ#3T$GEbWqyH!^EOoM7l
z+sjp*oy`wzm9fT_ucuz>S88C(@-6q1M!FdPY~Z~wnLxyyq!Km}O?-E3Rb%|EjZj}R
z<LPkV@Lzjcj=d%-j3zdW@MytA?TGsV7Y+J9qnjRDYl6CXx=3nB9pT%(^$RZ3Fe(0d
z@)?~bu4Fj+D8{See&Uad4s<pM`NbP<dqD%^i@l1`Q%W$|bh|iggAEq$9Zsn3SBGM@
z3Exj|1uVxsrx!YHgD)v|NqafeF_-m8@aa=oRQqw=J(+ET2eC<PDr{;<=?Qm84Uxp}
z$Tl|j8#cJcUj5-`zY2IAx0viJ6G8cmi5h*p4cc^<i@a_r!~b-~+OX{c`0uB#XM=|g
zW>|f5-QAS15IRwEXN4Qq<<d4L{5E(`4YOPtRX}Y||5b`$#p|x$pW0s1z;<?^*5SN7
z{2zt7aGhYliHz=O?jRZ>qwo0)tIC0{Cu!sOfd!%=W%6PlI}J8_4<|C-kii!^%cSO#
z31WoqX~}Q_@M@uMz<gN}u?GTNEOmbqp<^Od_SV3<^&3<3kBcMv!I>8Cp<cpK?kHt-
zpTMc<u?rWKL?NRS5E$juO7Nwd)Q5Li<623s>x~H^)Koh}@0Nc@<liPzRyeG2UaTl|
z;<o^r6_WxUm(~!4R~#}_X;x^^?znJ*haZ7Gn`TsdN(rIs>Kk4}T4Mdkl?Ki2t2wz<
zqgU~431JfNHserjf$1H*LYl=~7;8TKr@pd^Soh)`@6w_<EZ#Mz#*MSXWyU5Ux&H-m
zZhBmI+TI*FJ=2fR#Iqu$f^FNV_B$f4YI~IC6*FvHXSA+!mBXy1UOS3JKM@F>3pq1n
z3Ukq};nz`Xu-E!(qssF(B9BNe93V`g7$fF+po0OyO6QMW{{EeCWIkdnm1Tm+yW6|j
z4$<S-9VvrOjXr{?XtQKnF~;ug%`!u_bkI+2Xx@2#kWfiwm5&cFM!xiI1HJRh#M8Bh
z83LJq5#~ROM*Kb+!Ksd4Yx>tBQS7qkfz$OrM2dySauQ(#-^I@VPObXi`AYsn7v;u?
zw9F`<{!&AvoZ>KMyfIJQ`M36KHp4$+&${g$PU?m@^S3W|Q{NoHnRp^7bbNwP9_wL!
zSYUujO-3QzeRD+N%^orTu_<E5CttH=MFS{J-jQ3@o+ISVF?*U}mKe%pKdOF5AAFrj
z$0juA2(#+<LkBeG2_32CG&LQ4yey<#7kADPtd|$dO+pumKd(=EPgU#TPVnH@$8~eW
zzOH@bu20K^<2Sp4^Xv5RRXZ~Ni0?e{Q^i|p^Z^|NiX^B1cC2z}wHB#qt?CjLUrsPF
zAV|XOrE-`q)(?|^{Z$u<3k`|1+QW>nOFXU%4qdztDhb-Waf#SB6HM09G2wB<KuMN|
z4jMK~(bbhK6ER|08{XVy#=ENBS39q2V?p)C_cd~K7(N%@>2Qb@&twFT#`SA~#pAhf
z93wq6?{5oV@MA|#$L!#+sTMka^Uq$QXF!)gNWjNvP6!`JXFY#S6EQ{mzn4fd;=wH4
ziGQ`+VD7)4JGP>Mcy39*0`E02pYfmZ&*DYpMA^r8;TrfK009606qolS)&CdA?Y;Nj
zT;rPe+T$Lp$X1k+WRpsg6&jLNl2J-U)+Zw)R7md^k}V<>nVC^$R`~Y)3(h&uA0FrV
zcpS%*98f_G6BI775$o)b71HzU*RnjYuXDdUsZ0xTuMD0k_;SK!nJWROugZgPr}M<m
z&vf82^B=ah#|61V)t4+e<$?36`s(~M2G9^DeDbK~fo~mOnH6j0V3{+e<k$lyaPK@a
z&z`~uvYM=6uP@1g(Cv4IXWp^E?e@HLHy#MU`*2O8WnDQ~FX)OSB(TBR;fZdZW+9lH
z?QPK)lmqty>V?%Fb~wUXTe2=H3VCxJMt&S}@OC=yn=+9Tm_)8e`}K=~+X;iADk(Ww
z-Cp#|tL6gr`SQ<xDiV;!e06fzK@PsR7`<F^<N+_7v#?;EByhfCr<N&_gZZ;<9P#{o
za2QudN2x3gOI*jayk+EJFq+=v-abDZ@%5=1`y>O5fp?h?KFI?KxJhqlgn*&8v)}uc
zENo18KI|+}fEy9!C0uGE(0OR6hQ?eTa%y!?a5mxLQ9SL5RgxG`oJufH=EFmUuYINk
zzY-X6vZu?0h(r2VvhnIqMR<}JF*R7N3`efqt)Z`%fX*bl;|n#)a7W;GwB;ui&{?1^
zmtmEH?-}LCyy{e-tIu&<aZwdQUQZ9x`ANg2KRY+o6I4Nf+@^_zK!BcDTO41T3@AL6
zFXb~-1ND#g#yojMV4hlh9VH_R;b(5TwG61i(B;v#hx!`u*YRYn=v6szlJvUkYDfUa
z7ZJG+cQrvKs($Lf_wpcR<Nbjyga8IS@s;j_+EC)TH;2tCfNhM72)aN36)&gXPA$4%
zMr~^Ey@-cu>125~aRPWb&<}6D*N4ACcG_W$is09LQMEEb4H!tVM)qYS=w$bac5qdK
z-ksHpHbtti=xoxs(FBlUHGD0*UI|{DurM;er2@enU1?-b3}K|<Xdy+v68x@Rb-ZV!
z1T2EtIaDW%K#6Xb(3PbG9{Q=bxP%m-=E%YQCo4wqyfN^qkC+m?cFrp=t-?W|L5sA9
zhcU!GGPMmop$JmTo^Q64q~Iu9M2b_XG1SR5Un#Z1!<^0&<wGyUV34Lse(94j96nj7
zYEP#C7TTlZf=>k?_|o2K)L{$;y2JOAQ{>=TMSH8%2`-=;9rczeFox_x`xoV#IPfZr
zP|$H@hDJ56k?4POKXP+Yn;FYM!o<rnHCHHsb6J14n8_Fd)^gWxUzdWqe4>RU<sZ^j
z?awcc<rx7_ux@v8jRYJ@za*}|I!1a1;n8I(MzEA%`7C!+3{-OUwd-=*F;9a()cDti
zAgfXE_GPpP+{L-x*mj@8>}cI?x@Z}K)xw1<ntFoJo#Ps@IKPU$OiQw%tOZaExnY<f
z&Ie?)OkYL2H?hHoi$}Qh0Rkv;DH61~fw#j;_Nme?rjzYm^eKh}!MQzmDq}gI_eiGR
zfWscvef<G@eue>LTzVROotX`!iyynk-rmPj3f0ahRqDfO3;M5V>5RZjY#;C1*~fy3
zL%!1kda&i(UuF|Q3n7Qq6S#luV~exaZ21&=Fv)-8O+-5-tamnGN$2)44bjooI~uwm
zcs|gGGn@>Jo^W4Wd9{ZTdV-{M0(Icg&J`{vx?R$v<F7*8zx>4tE4R0Fs<lBi-A&<R
z;|7WMI$_^yZWjyI5e?!$&;nIF+dEyZ6_Snp`giQ_4)*auXo0(p7QD5+qlO!vCv{$M
z96KbsgDu5`c9rF8g2kJTHMZ-MB+oNrb_Gt`m_VcP*=OXM(70&p-MTSIs@RF^-hZ`)
ztwdYA{N|<s8@5=vPg5(&JA3nEkjfSol;aX3(54Q~U&yZ7CuNh4p69*y;>#vRi@G9(
ziR$opqMN1b`8&+Cl#4|$e-m>$pk6G_CBig$z{dOE-Pm&C`h^?Wn^-8B_eeS~5o$91
zQ3vH9cFUeslA&!Ady9|ddv%WhYqut;l$O6^S^19M>7rX$zzn0+cSZu}^yU5ir8J4L
zN8zle^0qKt9!JORL^TlGCW>EBpT^2sLj-F6-L+8U^?H$24L%1}4cYL|VSyyc=mUct
zjN)wpA?Kkg)M2+8)Mgj3L8f>ZcG$&Ezd3kDC#eeF!ei<UMN1gjomsAitiM>Ov_Ho2
zN(GJ+x2yd%m$B(HVRpAg_A!<4+h^aHs6Z(hll`}6E11fxec6Tn1B{S@xTgMbukvAC
z%x$(c?3zM6x6mXRO87jId1GD)5?}YQir-(y4l%~OPT3+y*Yv2;k4h;4jm3+4ed#|~
z-_zOq(aMx)B}Opgyq6+;{NqIF*}I7;@NJn(#8aW%s4R_@GCX)&H?&AT-p0)I2kTd8
zY0zBB_rEOUco2#^?=5g^7h6%tdfrk>i{wu${-8Ul00y^$eleu&VMdRi=6<?Pj~WsK
z53AS7!|M^Mn={=9Sa@N^;@umJXi_Nb0)@0Zv}pyeEeesN<~gb2@hWC?Q2)1O=b;>=
zj8|XBpQk``EQJEsS=o@_6Z54uE;%?<&=JoyOo<q^c<vdvu_LRQojXQPWWlh^zr4zq
z8nx&>su2FdfwT@*PkAcKLhe@5H%lQ}WU@uoQsu{m0{^?L;QI*&E9^&^ZT`@q_)9Nj
zYNUBk{WS*o5Qzg`fmQc2y9|g$y4-S&jt|{?EVQSghXcvuqEU9r%t+qKeMgB`0AcJ+
z^Mgz{(6YcKNjzXhwPdfpOC1$L^um9(#a3m&=azTqCO<n$GP*c^3KK!6TDeB|e#yYg
z3&EQKw>i+C+1=j<rD7;fs$k?B4GvO?t=mZ)T&O-WD#L+K0u>JHoT=2u0o6HtiWTBU
z7f)bRY)>SSMdHvmkqjIx9Ln8@xX+9HY-4;jwWU$yH#z2$g0euCc<*>_EI+~>8nL8Y
zkwN1#syXIevhXQpdg@EAAc~N^vC4zVqAhoEt-vZdIJnI18#^P6a@XGvRb<N}_G`hu
z<AeYH_?`6Te4H2(47<YcAQ_Kz!jo`226*6SPbE8iK^#4#uJQMYRYHY0?r7B&Mc8-M
zG|Ot1K!0@(#TV+UAc`-zu;dM8c(?q9pras#Og=oe9adIF_T_1OjB={5c8*>$Hd7jv
zY#Pl+ai}5v8=YAJF=|jXXlz-+jzjdvJw+Tx)KKfS!8>VeM7TLreA_)%7L^P=+?~8h
zKw|eZ7U}=-;gBGI&-}U^`hzG326hOj^rLM+W058p-VRe{vQt0{!3jrOw1~)zlkP=)
zsWuG!b?tDzk4Mv;j4ASJM6@8lsb1Bl3op;VZp$cAMD@;jHHo7Hlwp1N7Veimv}xR?
zG`g>Z>N}hF`n3qC&?Vsbd1?Tqxb|W%9c46r@A2_aP(u^*H!=fg3?c0N{CLb0WfW{n
zSRn4Gpa~O8;qYZc5cP{ceWhF(MSD*>gpMnrwRE<L{8}S8qTW{{9jJ^{sJ$a`?g}Wy
zaWb_2v@u{zdwP-+N(ki|8-zT^A%;vw&YgZ^`10^cOf8ubVzphLecB|6_#S@}zbs+`
zHg%H!y&c4(u1izw6BDAy1H0NKrE3DEZe-TI7Zp&G#FO_v8GMM>bjTq^$pkL;S%o(D
z%OQ*Z^n2ze*wHHMdn(a=W4O6vuzQ|U7O_yQpU!EeMJ1)T*G<ZeVRN5iu2V|}W#7e)
z==APjDJi-vy%xqGbd>6<p`8>e853!`TQi9X<t;TE4jO?`Ll(tvZwXZUpY5JlRv*dk
z!QJxX|N4f|*naJ)+hWM&eR9yO&N3-FxIOG^pCL%Z)yc>D2&0kmA8qE#TO{3IZ;wS=
z8G;fsS*`qUeng!&^ee{mfaHpsOXqF{SUdZIPPmW<Vdc6R^?%91W$#+o6;pt+&$Xfb
znVhKF)Id=)niAY-l8VailHl5j=2&7o8wxUg5u$&Q3PvNPi@P5gfMn^x2%R4j@?xrZ
zH}``IS}j<^zm@5O-MRUn4X<gD?43#@5lU*HP-SEs{iFv!7$Xf22UGsbN2>eX6csoz
z3fxNC)`gyWS@IQ=1I%UP(IU+gD(G)e?!SoF1$+AUSC_rFFc-d_R0Vx1AjR!v|MJ#>
zhZzmuElpRkB<{Dwp?*r(lVz&BRICk>sz+j}Gv={yx|wq==PBVvneVd4A1%1~yK(ns
z@fbF5#x7;bMhWK^aAhPjEiiHuimi(6#Bwv3oAMedfL!lEZ)~<EKyuqw_w6(ikS!d0
z5l;c$YpJcD_cfqtIgHN#VmGPxAc^6t4+V&ddRaC9`@h}s5Ae+&hDqrxiz1)hC?Ncz
zg*Qj1I#}POeW#x~MXI77zH=>%0z7vgh==Q_L(0ix0h29rq@=zN{Pv|3aBKK0q4gyZ
zUepmN2Ochw+PC~v{3s|P@Nm$F&(cKbwrFv8V_G2v82c~Q22;X^kJ-*)IRv;e%i3(G
zyhf7t=}eVjq5>%)#GfZg0Nq0zoj>(ANH}fR^z<ews4aRgW?ZNSJejTD6|hN~TeSO2
z_lz12rqYjD6VzbGmt!)Hv`wPFdRVgX2@Mz;s@pU-sKS2@s`_6HcS+iJL#%ocE%eiW
z$}Bsk3K_%N7I&@pNIG?Ng?vo(P`bdcCcLNux3zw<+xs7oy7%@3ovt&0Fc1m2I2HJz
znatVPLk30KWP(+qOi+GBb75Il1@wrv6AC-z;PvKtLHZ&y45w4b+CNnW5{F^_WpzrB
z-&69go@WI-1!;z7O$lCkePYdtp@Pa2^}`Iz?2wcG=UnqqC78ImT-mrp4Fg&i#IFMf
zoHKRz=SGUq`B&CxA%GULHii2Sk~u-+aEQu`mLdcPQF-Wc&_kocY>6KkH!L}q=9*x5
zIMd~^GT+YtK8`Jp)yX^%pP--_cnl9`&!tM}y<>uSFSg0=#(c2JznQtXtpJMEFHGY*
zSb$ZEVE$cD01h#~IviY~08;FaUkXICfyXRvH&s9ge&mcl7mZW^wibWC{x|H<<WV4B
zZYTop&uV1Yo>2grzv<{XH7DGz@zFSBE(Y&<Gvq)2>jPOjWA#!OxZua3w3`&M;vmM~
zLK+NIfa+l0vp-h3;Wx2>UHqE_^st_+rz}>0Ek438opfGUR@tr4F_MC7Cc@_fXz>tq
z-Dlarksp3Wx;!>{FAaqOS|x>d@PMuN&=+V30-5l}8&^vle7TA=3rLE9n_g|o)({3R
zEvbcqd0Ch{JX-onS_$@QlzK`XM8Qe6<lfwUc?b>|EVMFFhKHJ8yVcvoU^Qs`>?IN&
z#GacBhuEsXf8qDH<u=4Y14rB6zMu$Kqn{H_i>bo?-mrQTUJ@4brDzfol;NlKJ4tFT
zH9+MLRSnNe!I$#5zDMyYP&B+%yN)M-CD+#VjaSmpxBZitqpJ$bbAOdyog>1VWiu;<
zZ5iOo`H=9YPZhp=aX4`Qqz+qq5^(}LvM@-kSe9(A1`n#2-uOFc!k*av_TmLOP)M!_
zD@{`a!KfNuwrwpKv@35Nz9$d40VWsLOVq$`LyJJD)B&xIHPLfv3Scw3(&_!Lzotu{
zx3vt{0~wK8nwHCW;48a;s1(#dzM7-(fsp|uwJENUq!nRphg&@<UKOkh$QU#BNznfA
zclKDeB8=~}TN7WXfasCX&woGt<E`1QKi#+@Y*6E626>f1KZmT<?v5eIR8TiCjw(Wf
zwnW{_a6H)cXRhxm8bQ$WOwXJQMUbIUTnI>(17+?YoBc8)DCTytBCsh!b&h5KuOJy1
z`4BBF#%c`il>?q5hw%_wR$^6eDhW4R28v~m7(<cVtzSB(3b0Mf|0rEl418k3<G!6W
z2H}0K%w1M_$XT@Y-P9BSnj=rED^D21n2kZGamBwpb!KOnv$#O_u5QN-HDfqr&LT=n
zz=2e3+}wyHE3kLT$xf^p0d?BZhn`u|u;(GLZ)ZXSI=<Nn_0NqUuU$f!k4y@l`u{0R
zb=o71Hppa8gAvra?dejuNWiTkkM-U1WzzLWkr8!Y3?b=EF8eeR1GizyviKKYNk4O4
z&Qf_8LP5D$-+31i@EM(Plo6@JI%i8C^#1}-c|PZ_>?{apRxOS;CXZnc*`NGO4h3kt
zA3<AtlMl>?SKb_-n!|>z<R0u(0POUG+o?fraA2P54AuLMMIOifS1m#UDV^7%)~7jP
z{JWV?X5k7p<0gH0LC*lhvEf5ZJnX>8@4WBVwTi_$G?4C})d!Yib(toVEWl|rtZ1pX
zhDDro?3cQ$2ZBcuH+S?I;7)?YUZMCJ#&<9DK`W*U8<nrvJ%?yu>cMBpzt2}OzQDCc
zuWcRp(jvHXrHc|Ud|IO2@CtTvzr*#Twhp{?EbX`BC5PB<*7<|!Wz2SLLOt`kHjHBu
zex_&kNY90T$u<=I#^hALG$(gyL1WD6!MCE@q)qMJM4n4a*tN0GH|)f;pbSxmOuB85
zwh9=?88v=lBd1y96GJs2(EFb3n&2vFE2H9S6T>_vo`NT=e9-`!c(-`t$X_Jqq#t)P
zc4sioptpVcS{mT$lX){gYM%6b@Yomw`!wb!bf2h}r4Ifs*^k_0rb%_J3lwR#Q&@!b
zp3nmZbzpPxY729nAU!bgyX;s$ftiW_I<6T`g#42$OPcB<q=g!3j`9=Z7`v70?%Waq
z&Zu1Tw22!ay`JH6^)wyDaOMTYH$4eZ=1XGIc+yL{uKOQ>Nqqz>azgWC<7yDr->|S%
z+)i3sWgb2s`3>8Mcn~ypMh$!o7kY8JO{4<DwaW_vU$K}+c;q&z3e$X|Jx7CU{`D%P
zkw`y;%`b1?wDM7fRr=_s{Cp*(hM}qeYtuo@vU&1&%!&#uDtBzK<=i6`epvH6+dhDu
zs<{!k5~%{RY@Yc)RnxF~ik=~h^Z`t62j?EntOAy0r|z9|D8kIc@+Mew2Qcqj>^+>I
z3{-TvYb$A0SYY$OS;Lh9j6UT?3imlBND{qL6dF{ASznD$<%t@^t_6f%?afq#5xXTr
zrcHz?zW=>)*=z`#VSHIC_W7Sjq$Jy)WB-6v#w2`QxA}@~KI@$S&is$_;itFF_*yW^
zTa=QkY2Pq?&WnN5)(Vg=X?)X?za9HJ@%3FS-v~DHHG+vdT^^!Tch~sEyD-+=G``0p
z-?3I9!7Yn%IbaEIu5A_W!MbEp_(!J3FyoN?KYl85Fxlz6N>$s7+1znq_{lecE&As<
z9*dC$_j6i>O@4jYabZ<_i035s?G-!i;wTOpnYvj*)W2Yg#H1eWZ&R2=Waca0|9hEv
z#j8i6gILLxiuq&V)0j5n?$rA%8SoAI`k`6rE2g{rJJ;WQ77M!eo!CJm1GpROuRDB(
zv0*WzuyTue%;UR5ylkK}6csc*XzlxssTi2`PsjYk9AcbKHcv<agALLZ(H+O)B8J_A
z_Li`hl>Qv44pPt;p^%kaJb|(Q`YfvByo?3+yIsHCB?*^)vv81;rZ5_&Py3^zE0~-f
zk7tItBxG^eizICSz=#v~&P64xVKJB1#6Px4Kup!L?2EA(jE#Xj@~ry?##YpDkHcC5
zer|;*AO16k^`?AdvAwW~^$n)c#14qV$<GyGy+%JVp@?ver{&w&8}eVziSFWX#Mk94
zsbdL4!WKV>Dt|G)n22umbumcF62fs=EMs%MFN=!S_Aw8k1=aF+F_<L9Ui161g3ZTa
z?Na3AC_$}+Y*11RG%o9A6vnM#*{e5$I9^d8(QW0b;TTcCON`r_`fgyU$_x!$_o>hh
z7j1Gz_djl0MK#GqY+`o?X{&g1X%H`+EyD*15zsRr+x+-(8)Kdj2#Q&vLu8X_KB3XV
zpj@Sh7q<C}JvX8gw+?1Ro%Yye-c=!33E(np6Fk89#Mt1MF$?meiTU9aAOut&{)Ev9
zkfWXJKV54|*$@+XB8wZD5Cq7W5H>$iAfj?}ww@;ksvSM<`Z-S!MBTp8F;`Kc{J~y}
zbaO8BNL2mQoU0&c4`cgu9W>}%n{zskD-TM2cdYn{mLSYEs9LiK(4)?*?grDBeCS~-
z!$GTxAnbKPOilqKIzeY*)T}OuI-F?ukJ$)<i&Mnsf?yUD9zFDkxG#+G0!CIInS#JE
z^GI8|l?@e5Ev8(L5ku7lwTv0ULeN?>-@YC3Z@-SZi|i^AsGQnd$#`4{X85C?FrVf^
zijQRz&yY!>u{<}E(%-@`&;Ipu;yE6q;t|d4uqlmltEq<UPl`h7wb$%E#e7KrPc+Lo
zmn_=Bm#W;(5Cc(N&yRAVf=E~MROjvE^62orZ*dt-;&7HC-6_9S7#UicmyOrq(HhqK
ziKHzF#aTbT+8h%@ne2D1*L0N;S8?>3JGC^NWVeaKkBOtNrzazIXI0RNR3pv@L>&0s
z8Xt*@mPC{%2Zm?}YUo_jc8gD+9Bj%e=wCCCMv8Sp+J>P7)DS+j<GX|hT+SeM2_p`@
zPR0}ki;2jn@#*U?rYev;t$V@$hb)@b!k^xLr;Zl&J&*Z1slkbX--Q?^kDeu6;;ee2
zfquv;M!1#}A^S>oAY%$1xyaoiI%sMlpC`$_)TWxSPI)p)!b%CfOFuDvB}@}VWfXSw
zGwMK&QA*&`ab?tI)-Yjer-{Z+RlI3h)q}&sOG?&HRnRfEFW&?zG|-eySAzWn3DlN1
zjzvhRqB+$z4TThS^danr=7h5$MBT41ITxvlj>$mv=pO>&Ht(QmduasBaY0Wso~xqV
zJn{hQMOAc`Vpt%y&lpBG1ScF4Rnhrpybn9sl#xUq)!|ZP0zD>yzd%P7CAMENTlwer
zgO9ienEg#5S(i?=s_b9By6zp8zEa4&l)q=F*A!5f1Mp5LqfVuoUoRy^5M7q7+3=bv
zRJbn9U!qe&AFgHPoZ#d_C%+Hfs2ehcB8tI;nOOz&<fY~A%my`@6zO{tpI{2_e^>ua
zO_f7A&sLQm-=D+O?9nhSw<$bUY~GI(#i3`!M^^Nai=?SL3PiSBCJ^cqWbX7#3aL3d
zQAUiAgPRC@gzKa+tU8Z@jF<%K^1n1tVaNbwPPc-lw2a|)%c{J#hbU@MVf46vgbm&=
zc{N=~G6E~^qfv$L1klt8P26TG2ZWvOo*kGqgrLTp(m%&}P|84pua*oKoT%lt&@eLu
z!Rs^kEJz#(TMcB~!*N5@-K=!;3II?*ufKrQj?KK~UrdOshN7pijvEY(zb14_0;Kz%
zdij)+1_`|sD=69LhP@YaP7g^WkVqTTZoPbfjfDA9h0yar*|+-a4s!#Tw7jB1;91A|
zM_x;Q|IH0^xCXBs4}F+nG(LIi%@iiJlhBjjzzuu{TTE5=^ngvm!%6gAK4w@>$0(P`
z4d1d{f^W9!0?h&@qo_1Ws%lyPFz>((0ii$ks91F2@msg>dwol!6~Xg$VshLdxGy?#
z;GzTXt&$zdZ*P$DuE^dXGH`=kR0yYgtv1*%?|Xd+-6feR_*skWae?%4vuz7eZ6JBK
zR<`<+!AecypLbN;Kwm>hqr9sHsp-yImSYrPUqF=LljH^|FB`{Q3N5$=>ulyC)Ih~k
z#{IyF8`hU8h;7$3A$|IS-f;pgTy{AoBU8u?4?`}$k)+Xtcmvfoa~wT%-6(!{mV*b#
z6I%R7Q#2r~xu=Oh!3gI)69V(od0_0q)|VL>4RC*4+ZoWo1iXUU_azCu@I6sw)38w;
zhF7LOm&LQd0Zw6gd4U(&Ln*=;Jk=q}=%wp5aW>dQFLs#f`M^fU`Q$}bbr6ke<UY60
z2Bx#8FL@U7!>+OcePsg?ey5i3bBwaX4I_u617!kGAGo+EA3=oE5@uAzjT{hZ^+Z#q
zM-Y4m1tdu%B6zDS*DIHDLKQMIJ)jqc$HAAp{1}Pw$jXAtHHQmI^U0=uIE#RpF6D;y
z1OeD8(Pm>dHyk%~l$U80g%b8aTdM{FP#@e8C@A6qQtVu+SH2iT{WK|ZC?SA~Wcm-m
z23}~Ic8X}eBo47-&MjQI1ZcmZk+}JT4{G8Mh1i-&z?K9OI#oab^;RvN79Ige{=*hC
zg_DH$@^40|-Vk8w@P=Whqac(zzEY-Rm4f`{d#^UW5a8&~Ec=x_AvkpR0&aF!3M_gz
zOE{>Au=Q<e_C1*huqQ_R)n1ea4JAEO9U~%SPX1K1_7#P~sn@Ie-(?^@Qesj2J`ogV
z%lw~S5QC$Ulg5P|I7p4Fq-|Is0wGh*@ra^0JkAb?&a0G#zR2%db{^`$g8R_#^IIHj
zE!kDu|M?y3A9i~DygEEK<dZpDDFMdL%biLt@?h(6H^AV!21r@|_u3>x62_`ee7(%0
z0DYrn9E@_B&=D^?-Kix77wC^t%~dMEafY|aX_K1JWTpM$^oA7Vz0l-;t@6*)XK5zP
zi?u*(dS8~gNE(>;gLEZh@u0gEEWG*8FAga+7*`yX0hx_R{ox8cFdhVD)Vu0HK3B*6
zwO=w|(6{~ea0wpB^xpCF9M*-S{~Z<c55>X2a4*kdARf5hw>OO`>w$Wcka^=G4*mxK
z0RR6Cmv=bUUl_*iz4zXGzVB<#@BJDPkwj#rLdYm8k%sINT0%b~rBaFpO<pSPC{ZLO
zduC;?pTEv^-G7|(T+eyV{W&-9&Mn((8MPp$bJXalhy~`2R9%|w)u2%2PK)x>#K%li
zKDt>8jGU9sZcSH1<M;8;6-gS<yec{9|IQL=p?1_$chpdz`RlZNoH{1<6s^%t6CmXY
zM|j*<1D}o5o<JKlP+lbMagzet-No`kE~!DHPwd2}VHLP}h<s5C0s{47SQ~uQp!ev~
zi`9e52;`Pj9J~T}$<>{4WK=^$zm9J7xFUjTBxed60pWmErm758By9N`GUl&<M20Gh
zo)IAbui;wUk_vt^ik=(&DhK`rA%`yuz(UT{ohPm;Fh4WD)3-zhT}F<JtMh=8bkPD^
zjxv6_&Z*|tN#cn8)380mfG<hfZ_7I+RFCg%o#GLPb%x5)mL@>Df?uzALJ|IS>9Wsq
zL~!UyZ>~`p(7Rjq>ME}yE~mxx8Ttu9bu0UpvRHsUTd31XQvq7hj<m*L0eF1av}9rh
zJXAGO)z~19TS4g#p^y0B;@l7s#srKd$6adOEeHEU1?2j(JTPb*@^wlike%nz>c%4r
z|ErmM|LAj}>qmX_)>%tbzSO8z3zUX`iMK(73kQyt)H_QDSVH3tbHD6oNl3_9rjk0?
z(E7UeVOpaF_84q%^mUbht?K2QMju!aJLp`gVq}41b<cjA{}scncNe~eiLgSX^i&&)
z%#pAo=I)+SQAB@oPi1<*g0O^Zr@L9rap9(8>hNI^-22$C{`nFMcJm4Zb?-MrN_#KO
zDMT3kDeoU1c+P^zkgKOhI!#gaIsIArAtB6}a&?~)XT`UGaI2I}rtrKW?)0%(5FBy=
z{daD%VsA@$zHF@t-WP?s>kbIO+W9rz(Ev7tD5bFR>6suWpaAL{1+a19e9?J(b{xK8
zvQT{67?1Dh82xSF2c`Iu`jIUh2y3Q~;#V`qN+@l)*oPm1Vv$X`@thd`MEjF>(+F9I
zk7fID@x#khi!A<@3!}QbY$COd@HwsZfn5t9J|#rUbx?TFEazL(P;Cf7gPqA~5BP9A
z@$+`C=e&?)d+@H=#t>WoW7*|b#)tcouHH`f`B1-8Tczo{0p><7T1Zv#q3FnYHjW&A
zEE69S<|7SY!Mawg{f!R^5~|@%=>k}@Xy!f7ZGil+>_cMf^>C15@<^G2;12X>8>!TX
zYt4g(qucnAQTbf_*Hs~S6?rRc^U_EE<mDLgs&ze?Ip)6)!np2W$!)-)54OLL4eC_|
zAi1r|$&^JDH=cQp{j1YM<MWpxyY33$@(0=L$!=nh_)*lxcU%wq#o7JV>;>^`_$wKY
z#6eawa}u=GL)ELW=-YFGSW%W`6VR1J@wmmsOM-ehzf`e3<*5)J`7p)AJ(t1-6Lu!Y
z5enYZWOS;}3WLGtYkchv88l2qPL6$~fIZpI*Z-&p_==aPp<Hs<vh(sLw<i>ISbEA{
zIVy^=oaUtK({f0ye{>=69tBK#!aEbri6M;P)S_gcJPKGU=On8sIBR4uIs8l<o;7(6
zj9m&4HI=eI`IdsaZ`I%DFGwIOCd|s9M-dwIfA>}nQLukU+ireGDa380;}aiKLasN*
z_XY_)?5*_WO{kED=XsBwvrEeGk-U)q$43txp*|^3m1Qy7JTyJZsftS+T3Mp^^q?bb
z$;!1&4lagjK3^o%p!jEl<}NXP=!W%=>B-5X!g=<ko{~DWzCWqTKCh4T>m=Wiad~k6
zFxcs$sDZ+UNE%tu07gsZW)UwH;Aqq9aaTYSFZLK}$GtH?=Ox|6i@Azu?77vUJF1CI
zE0x9SCkzqH>{r<mri9e7*;q=M7LJ4}*Mx5}!uy$bSM)8Eao#NUzzZvFwDT=xz1A?s
z&ZPa1d|6b`Ij{M<`<^y@Ogjz6#Y}KbC)2s)l?oi^R#k_`wb3&zliVn1ihRv8@j?ew
zA@jQF?f9%VRxc92qD9Rx;d^@XH9j@yw@CZhywHZbm;tMjtT~u=Cq3AZqlS(=k*XnQ
zZ4AHjnK-O$fisV#Qx)meQJSCVw{lqv+_Yt{i%OPAx=}%T>!gm}-@TnIw>1$jp>`)!
zgg}RGVwYE}I_zs*;w4XLfd7r5Cf5vsJ7K23-zBJHTruVBCwX;z|MYb>(HB^HY{)qk
zsE*;Ys);?hs>m@hSm?aB?vrO`l^!dv_x+asyC37q@b*<JXq*AYYw}<6zfi;0I1zVi
ziW2x9ji~6WQ4u(-d}-NS4cG17j5CKRV58lprhI!U$aGc}0ePx0cp=7l`=%WJl~j|B
zJ*Y?#2#;F+p#pu~)#<Q4X`q%dtlf=@R~K#eajf^bY3KaN=Iavheju;-#)^ujI9V2o
ztTMJ_%?NER5yh9SKTEDEP*Fu%X*JVSLNsL$(a|G>+hJv~cC*0A*|P9%9Yu(hD$GRg
z7l6^0H-5!5;K0$9fa^L6c%mL^&+p6!fz=U(izfg>zV7kcI`Wv{YCC;snhTfG&yXfe
z0XLU~q7sT6&ZVAVX6R*y0ax+-l`aA;q4V?+M`ZAO*#CoPAS=3Z65ra{5D0&Bh)beW
z3U^wi*vrD0LB7)Q)AFh%vfcIvCiY7pQ-5LQ#TX+*Ek($u*DN5*P<_AGN*p_rnbM~^
z7+_fO>uZyj1;kQfPG&t91y2cQ{7nr89Pf3fdR3d_m3mqbtGfv3`)ZEOexirZl8v;k
zpgDF8*zA_&7Dl7>s$$PmdMs`cnHPyN!`-s-TG2j1?2?QTE*PLkmc&Qm)>l*f*RrSn
z=}!U3GO_Ns;K+cC#f;zH#-^ZWx85H!&5x{!UE5FmW`Mzem$#oRHo-9+sk^ai{E!U}
zZuBT%gykkKuN_<_sP!lgqQ&uH-}Vz@#0e(k9i;10jyDDi$9$=KGcS(x;^x65W;jUm
zYOReMp`&p$N3o9w^uwDq^>45se~i0~C)fz1w|iSJX!4+|<y~NYKP!}G!E~_K5G4Mk
z!=YEXQMTW5I-AOlcE7e#*FZy5iR&LY<-m<wQ?D)WJ>tMK{c{iB4I5zpy_GkdvfL1&
zvb*VQ<ihLp8*kSR7$7gaGniP{`P2GSX|vprYQM8rmdOC0X;*!!H*zB+o@FSbo)_Y4
zdPleC>SNhpDAu-s8%mXP1(~gU;PHBu*-zF-p(ss>Rh$QYW$9;2e(=Lj@}e!<7d<4f
zJGgj1=Rr<0^AXNT0qBqI`N(ld5Ai$L7Wz_nAvXKPb4XkWn%ob3HpuH?U_485gE=2w
zl$n%;ZWBh)&+cxyuM|AoduQR%+x7E26+>U%5W%<2Otrij6x<W0O3VcFgU)K-vI4Id
zlG3Cv<!z#1^+VkhRayX6Z65n>o)Jff`f)o?VG7(#N+W0c1h9a!58ad`u~mznw%AWb
z&#T#khhGXJ;}RjZ_*DuAo=-JzctHl!m3w4^Y9X|o@Jv@LkXi2^XN$y5GT1UA=W=U>
zL1Os5%mF!^2#t6ikw=Dj{(%_gP7$axB$KF?^7!F<q}uHg8L>|a7aRD+@NS=4%m;e~
z)ZI@ln=c{5_s%7MdS7w86X22P@>7H|o!sui8ZrjxQ~oQfm4M9s&L`C4N_aLi`=elx
zjQd2%(O^R<T%t8}sNPhDT}jlOk1_?rnw1slFQwr+C?u}(T?J_l@k$#GQm}57{M`Yv
z_^&>WBFL@=AI4jZ&)O+4cKEm3D?<(vbXn7rChA}?^G{-M(*xb5v3-sa@<<XDD*hFq
zftXdv@8mu`kY)FVmu*wPa=@D;rX)@5eez_5H&Y*Fd7IaQtQ9fu*D6(<t%a=FEc|me
z!1q~kodvQIWW)<P1QOSMySwgEv8o{^o!@)Atozk2A;XW{TXhh}^FTpD)Cd_5Hd=jW
zRYCCR+qCa<I`E}`z>+9wjDI&*72*a|Ko(2XuME~jPq(c1BH08AHY4VbpQz&Yncuyx
z1-kfkOtCw4n<<i1IaKOn)gU1G1zDN8X#4fMSv<)MSw}ZKDO6BLddTVM2}51TCKa5_
ze`pQ^&Dnv_3U%liefs2oUI+dvT%+=TEHLU7y^<-Zfq3&{a}Td-<Gs~|Mr#HFr>bt!
zv+dSES5*xI+g>efIb`f+#s-KzRmH878Za}z71T1mzFt<^Z+j9r9?~}Fb65kjYm<RB
zX6h)o$5|pU3QX-}HL<hSz&L+hJFB-Ud@^1>6S1a(RuZE**rSdo2^?n{y_Lb+$v>H$
zOhwT0ptY!vI@&%TSLbk2#K9XqKTGaYu~4HuGjdlARD&l<85Z(j8WI$DeNTn@Cyp~&
zU8?9e3O+1xNCr`1x|<GuqN1F`A!~JJJ^vJ(&TTD`K<w0ikFsm1SbLbARQFFAZeD@4
z_Clg4Pqo`|^FJz*x-$w3x|JXntj28FCI|^ZuQNR1R9Iwf`03f82=b{s8`n8LEXGZL
z&?i%I|6*NJbcq6*Uyj^+Gt33PMzbG@>-lK6+YN)YWAd;MlKyn&8XIhw%QY+tffpp7
z;@BN>Ftio$FcoG-)<5q2AV=WVc9rs&EEx!L)|Us98Nhw_u<`LB0t<iA?sOlN!fM=(
zukNjDM3$UnSiBK|%pvh>1~C%2V)LoKYv(fY#_>UnVxlFOr+c(Xm&CC4%kzWtzydLT
zKeN<zJ&&CCS~H4h6F~r#vy*H)Pk5c0o<1yL0r%RCJQ?P~i0Cv7XZ4*UYP%-WZw8yA
zH>rDd(<?y)*7;P>3C<Bxe|hfRd}4;7eD1mWNCBALc(gald5+jx@LrpR#|-y=Z?}rD
z<VWh_&`tWqIf8}DYL|SFDY(2v%tLhfV7e%_Sj4zM+&_Mu$Ml5>K4}=An?K2e6&`<y
zJwA)X86W#MhZRgvxijllY(E#=Sws!}=a&e_#Yw-}6k{kd)K=Q0aDpm7YJtWTqD@3D
zr+%Fy=QE_V$vZf(+Azi?_kE36{<CFwkB<@L{Y!sJMX<w4`sgVMR(cfve5bgp(Ga?S
zPG~SzvZ0#sO7jL|29(J*ELyMUi|BpQ?z{?YIK-~z8gh&g$JogE*|i2}?|#63tDY5>
zT@SyfwlksHaOIk-g#lh&V>L+3V8sWgp?`2-L9M*Qm)tsiNGzPH&ON~jF4Bh^)n8cA
zD(60U$X*}kdE7Eh|6@g_dn<GNes=5%Fn`9<s)svoNNn7{SV6bB|5UOjC*m0*WkQ1V
z5aab^GrKJtB3~cLm1N)sTiKO`*UJ=4S}DGa|ICJekK>9P=hkzpk9Le}E(P5}T(+zy
z*fH;4t5==6&Xc33z3ojXi2Zr;aqd<QOg~QPTrA}WVK;bs@;4b_6v5hXM@|fwZkyiN
zCIGio<9F9G$ROPyJ>(4L!nYrHGdIWyf&cEgt8WQ10z9h+&2Djn&UYpD@^N8w8wB5I
zT_AyG`SB~WATP`&zWtk;6G2x!UV1(w!H#c*r)3Kt>~H_uJ9<hCBZiy1W|BzYdz;Pu
zR)-%)H0+M@no7ViL8K(qgM>}=>ZPjk0;rIjI`xc23XJ@f#%J|NaFIw<eWNajFINpY
z1*fFJkmIYoTY`j!$$8&n8-*b7u>Ag?Wm$OKVXa@{TCXSl*+H2EVQjLFx2qMD$9_F)
zB7a?fP_#KI@QVl*uW99dGFHIW*0N6}>-%`0&DI(>6@zp|$z`E%MeOx+b1pO{fvNM)
zkbJE;0-P8+QY(}oN!i0}983a7RZ*6hw<KOZQVTn>s*Fs{v>@Z#B<%a?cP*7)8rP%V
zZ$9Cnis;VMjPZ<Q$lH%a6?VxW(WUPi@kkBhi?<K=MUk<vsbOvZZaI8zv}|-2*Fbbg
zg6zg6GKd{o_G~-l;eWfln{-$cS0`e2ZYiWd_iuhq)E)&q9V{o$ebj<T4eh;`uO6hr
z3m+yNP{iki3x@H$I(U7^Cg09PA9WIR2LqCokUjV6mE*eqOAHEJaHJSu<nf2fyc}f+
z2zK*?N|G?SMRWIkJ41}7%tQ@cRY8AnVpYdU5;UcG+ponKA${W3li-`GSW@jvEB!zM
zOa1hX=~`o4a<*|gU8sg5BBIfX6C@n&cM6*jGlldnpQ;Tf)Nv>0(CN)1B-HD~Zr^d-
z42I#{lJ<5Q*b&$zXz_%EckD4Or-#jPaYnzzd`tsJva-i6tk1!GJkwa}7E8qD`zL6G
zX(Dq(fu1=-7v@I2sd={uj0f2q{9LOEHH(<ZB`zHZYvh>?9t0$JaB8vt(S%B2<Mb<2
zEsO>EEp{+dF~RuYq1<Opq{?XpoKn!hO8E;u)&wdB90Qt!PHV!r?tPJ1t11!}ONRA&
zsc4U{O|M$djd!zUgRTTBWALR1yPLKZW+SU)uY{~~jZaOC7*s$@!;#YeysfY$;-k3a
z1$Epat13k7lS3V^Lf45%D_mTp>wbAj4W2r!Oo6geNLZNLlM!kKu`Cx&(<7=F73Zy0
zDHFvp$1itOHd{f8|KyW<wkpV-DKKWaAc(Qf(FYsltgv<1T<r9!(mMAWbz6V(LSxvq
z&gc&nT1MtGGv$g{;m~W|c$^)1{de_DE>ht!^rP{bhXNell=If`GvR*gp6FnLil{<&
z=Zj487(5)q>MXuScq{GSnAr{J#;aR*?3aarjLl%yi#g(v;Fu~;0+9FE@qPQG6ec9|
zg|^I365iL|efTW}2sDQke#?@8sJ5+(fb<9<^v$hAIg&uAuvF|v7crdG(HfJh=q3D4
zD@NbDW(iuznL;&V5hy61JG9TKizvURd0*+L1=f`0lb7v;5JVkz-)!GOlq&F+Jr}V6
z!#V31y#xUS-HT0kX>22&Dk_qk-Oce_mPht&4<9~Wa6S-ny^WBF(!J@IYlh-2Qht9s
zdGNHMl{3%h2NBlSBW==UiYK{J-+x$f;iJt$&O&A<VZwNQ&zhDg4#hHhc1^Lvf$@Zn
z$7~l7QvT)WqhlsWYZT(88)n5OKI1?7`8@>t$dxqr*7Z3Lu)Q#%$b!5xm(q9U^%Lov
zqYPe>j1lE-r>g%S6JDzBP@r}V5e+<>dV8~t@IA1^WuG%6cKRHMJnBD2G&ziu3T6y3
z6iX4?ZpZ-1VRnD{v<ZT1SLcQ%KSOLiKE~d)nI3%44$HnhFh%q|@A2~gXn-qe^oGPG
zIt)Zier-JPkFeb}nr&=p07i~HD<*b2?B8XvSu<^x(BpfaX#G$hq`T4rx;AS>X_ax<
zOvOC$KGZB{pN>9S#7TN5Xsd*#k>q#dzl#L7(SXK-ay{rRdB1cxzDnq{A1`gPT_GM7
zJ!@sq)q~uP0JXw(oo<87Yn!KQ#Kn<+Io?$iv{kv^wX0brICPy#f2q<#T)I!KmY{%c
zTZ2ub!5YyOm+>|_nE~u^alxcUGR)rO*oP0S5psV6@5IbAqFOieSB*az+gjElQiJJ`
zdnkPBX(BV|jdn*Ko+E+&52K9Y0v)bhKA*KgWBnec%M4=Ak?<pAOt`d^9tT&}GQGyx
zaO`k(<{vT%9}-0-V<H$})ff^P{*43g1NS|Dd|MatTCTEN-59a0kflnqhYJ=t{PM(#
z4n*xf+%xuMg3p&~`519t2)`S8-QlT&fLbXc`Uo?+OlIQm*Ycr=D!ojmY2)3&t2O6o
zEMPITa4BFHz_I0tI##kaLJ!$1M5?gCYWUFi2a$q^%xw&Itk6P*#M9%F_t|m$!6;!l
zErhR$%v=&?TKHz>yJ<9l6P!bPrq1Mupi=Q#%j;H6^q;4Chf}$6UH7}$w6_=(H#}7B
zIiZP?XuTP42VOYObvNC$m4GRyPJx}JCWx$wa_4$J+_Ilt>vWgG)ytJvr1>;)O{Jkb
zca|TvNtYe{Gi9)Y*cUf6uYqf4*`v>H5JaNaypPvmIoP_fP%bQK;MCHpN%egp%&9#p
z>aUeYmE_5a1CpBP$!DmJFc*Q`7CW602}SJpINPz!M-$zb<HhHDMIm{%J%9eR68sHH
zERMg>M1^rfuj3tYJSxifALmoSQ&yt;rmGgr<Wj`wawOMz-v8{=4ORR)+IW4DUmF_V
zqcr4-*7^A8mBAq=b*Q@!5EINg`0I34bM=iZ&K)#J-nXKGe=>hFDf+tW{zv6J#ww4;
zh3VQi?`h$ERIIA@77|3|w{hQC=QjqID|L41V6o*e+eZyD=6+mZ^*N{rPqjx1$qXb6
z2HD=0QKumB@-3#)r%KSDovY<}L&7V^<j8YQdPs@N)H}<h0w*=QuFElGoWJwY^4NOb
zZw}w2EbFX_r*BqWNL&=CKd00_XEVeur714TSv53Y51%lKr=axDe@!-*jc`i1ke2^i
z9qkLt``2nIxbpR8Wut=$3LcDZGV9lXq`+{C*GCHW=~E_idCd@)n(@M6Koj-HX%F`o
zP{3E$wqf^gbC{K-oqJZNg~UD&twL=IZXeR9esISU35G9OUW91F)#ThB;s_b6=D)m6
z3<1*ZrrY~}XyeCh>!N2G3C+z>ln53o>YY*scdm1>qI}CtMU@UpBMQqs>!@fY*9_P!
zX~UtdNBZTwCJMf~deeNZphTx|%&Sxzo1~~e?WWZrSa?OIx7`ZqCmXoSIkmBK*kU5?
zg)-_LDK+C{Yg}38i(sK>;qAonp$|z4P|T|SA{S_lUygQP@5yLllvd^Bd{+i@zc&^<
zI$(|booTgG?dlkIK77HsR1A$h7TMQ#TjR{r>(+b1)ezs?9ke1Wh#OC9^Cb+eL2>w&
z>CvNt&`I0&Aww=iv)n#8Jz<4pWhX1%4a%Sd>>995XN1=NP)_SSE7&*|>9`ar0^@7N
zDck0Wg&^w#J$mb0Ug)G7oRi0ecj=t5&V$5atj#&?1}d&ulJD>JkV8_yKfd&a7esIO
zoJo@l6{icB?X=RQ@%nVvz%|=enzWYKu9|khWTd1sHCX~5-$(b98uinBoh06y?gC1<
z;@LUwiXx*#G*<EQUz+fbouc2r6S!=zvp1GS7<1ar$tN_YXi4P+_pfnF?5+%oK7UpK
znNb%z!e*vv(z(eeX1OibeI;P~E|>Lp9eK|0Q13t5dE+wvF^UE5W_~)Tn9K#676*nM
z8Z)%F`C(p?JIwLwu1iSVCpNrVdQo(8@*mB?BuFaboEb)bGUkUJWQJFzd%214KU#`s
zx{K&1Q|xmH5lx6;z+BRJa_p&T+652l%po3A3{~w-;kmp<SZ<gdI-5O3+mXWj*?pS{
z<eI*feEzdYgv{FhnoO9a>F>=A+J4O#=Ra&nYpR+h#2>5%_lHf;WNL1Bsm&X~<)<R^
zE%s?br0UgyoX3A@#|Gz=Beod9`eo>JUGX^KpueZewQ`j9Sv8!ov%(M+hX;NMEDaI6
z&u1<qeH^B#J{i8EBWQ>|X6mCMjy^*5>Go{`!b7yt;=e*lN7nzVXFR4(KJ6l0L+!h{
zvj%7{eKxr#59ot;DX{*(k#^$AvAxCt7X37-l})GQJoT~3ya>H+Ux_w>w5AaGJ{r@^
z2=VTt9&#c}^H^m+5F_tg+Bci^(#W|D#U8eLm_MxS`f#z1@Vt1&Eb&wi?Q?8Y-Hmz*
z{+?e^(c`Wp4&=_w%yak9+W+le&ZSat;yI1CMB0jgB4si3RX6R}p6r9%4P=PSSX}Nm
zE~kBaUZ$2--c1{6AzvACB*XaCt;I78&uH0OKQxOsbkoir&6*JWww{9)6AfR7yrenI
zxwOcw@6UN)=jj8xNvJc;ac}N_OH(YQa*ZbT&{8(tFdQDx1&6PM!VaNE+KZa{XX@&`
zwCuaL9qD;>@wizr;al<-8nZ)?@XYeMKH%NUVy=S;+}7`y{7PHiwomZSS|80#+u~nq
zgf`CPRXTm}{6;g2n>k9aH$b~^?#&y=8(N?%EgC=Ys*T2#Al@@|X^>|0B7)t%PZLcO
z!_NdQJ7}wBmle86!?eDbf8Wa0G_gJ7=WJYKCrzO8puh#XQJR|>-+<qK4K%m4T#zBU
zXs!>>-VW#ZOZ(MsTW3pC2a&=2W$@M?T7^j98B6sE+T(=_44VYhp+q&8{HfDJyRMZ@
z{~}_NM!zrh^^Q<A7#?W*>D1IqyU3iIo6t5zbBq!Yj((#GZ(7c)C)xe98mYL&t0Dhr
zE!^+p<JDDhW5aQm=9od+zLm)9HOjLz9S`yMG1)5E_;IWA+4NzWj7V`pJKsF5>QwGf
z(6Tb>gk}@%KaA2y@0&wT>Mqg@4XjpN!<DhCe*VsVt8v<qHQmpjQkH4YfC{G`C7fyC
zJkGE*LF3=U@3BW}jmC3rXH%4)61pZz3+WC`(K?v>DxH_;>MXtsI1c|(L|yKQZA>En
zXgOjQrbd|zb^ikZ0RR6Kmv=bT?;FSMnZ5UMIQBS)V`P2ahon#x($3ealvGNQXlNKk
zQdClAG8!t0az09wl*mYgsDvmhA^iOQeXjd@uKT*5@p`}9rx%h3{WYLu-Ps}6J;`3f
z>v!pmGY@IpzT;HIZz|@Mc$eO8nPN9oikrKe@sUxLC4ZlspyKoJkD-+LX}07U*`lzu
z0_3Nx-+Y^us91Mfy^g-^AG<d^P1^sK5ZPBg0P_lU@cNC<t(%)?zm?w{S-Mn&bZ`it
z<n&WVp2O;(vR@ozjL|R4YJPDt<l6%>M@k)c4%Z&WX)e<E97k7Kssy>~W?cHxcN9dO
zUa2X&oQJ%BP39}hU5Y$5`{KS*3I#r!?4o^4`N)rJR7cg!WXROwEWPo-#rk&sf9Z?;
z&G)FUv3Hgumwi@RUcG_>&EGMPGV+B;>w=n#k1r~aYog=3IczA%IGHLJXC*@JZBK2x
zB%@5utXDam?m&SBhv$QDeBvZsI`v1}2UT)-8MlOn9|da7!Lr;b66E<1=eIHg6!NB$
zw_9Td1;(Sk$BsHlk<~xqkF>^8N$uu)lXqq*xbLfJPS=zno9netE?cEZKJxW8%#T)w
zS6@nGi-8<D@isuW%2bQYt`?WdVNen7^1QLzPk~J58$Xk8qeJpIbBtV6(7-94@EpfC
zO5{OXxu-t^^vDzSoLvW?iPFXsg*N`Gq|1-ajH`tPq+{AGy7fI8;&`28_oY(EY?J2C
zEBK8`x(dgoYoXfUe0M^-Uz$qRc1y0VcuXhfOoxKAFX@7($kX_Bz6RM)ZPl=Uh(YRw
z?%yV+ZUASl$T&%N8u?vh+c1}`DOsUmvBgcz7<V`VPE+}`NvFZO5N87>nb(^nd)bA7
zDN=9E-fA7Pa_f@3_Y^Zy+>cl1jH4+kK312kI-y5yx~SDA`_+t`di+K$>WCQ{#ddkT
zW*U%EPXETd1I)>|_xyVu`Ym9wWZ!W0J3}(ylE>Tni{_;K;E}rHN3HNV=b(ir%a}Aa
zRNa2i$DC}oE56}sXbb;Wjbc`Ibn<QPO-BdPj9f`1$ZzT)u<K`Cx@Z}lq~ys8dfZ`>
zoDOR)DB7`*eqz1adp-u~mYXnBZfHv8{E-Sb*>8{BUs6*SG#O-R4$qN5X9lUZ>s$HL
zC<n+zH4dH>VUSASw<PH^j7YlE(*%R{%kXI%)A9gGCtH_`J!uTkCDlwzRnq<}!;DDr
z20nsLDwFa>v3oSh8<xp}x$7Ju@^PY!s$@)dY<7G1Yl#|3Q&;|567GmA&A!6x0}RQ|
z+A#tC7c%4@u1t4_07s0kz54FoZhdlv`Jt(E8A9Z|M}=&ox+B)@PB}8+piAz*sF9Iz
zX^QQ)_44e_C(EGm+_S{|pB70GvrpyADI;=8x0ns)%iz=;9haP^Ny_px)HYE55XmP;
zcBy4Kz^sr^YFI-hAu}T#v6LH^9oUJlc^se{ztX}`h(b!!W_eG93xaP|iB7S<JubP?
zxFSoG$R*ZyutG)@8(quWcGj?9blZ68c)T3B_GMGOYk@fW15O@MGGsxRr+U@GZ7K4V
z(s5r#r37+=+kLXG0#8K+vpXcj$<b2l*Ovn%!LVp={3QnHxuj<Pi4!D`8eHcquaHD~
zV4Pr@B7xRFukIZ^%T0<rt1(Y+lZ1wn>lzBp4t+;bT6~QDu~9Z?W?C-^kpo`gd3Ls-
z`+wowwsnlXLF0bL`+P}!bKT%76KI1*$E(MAl=|5FRO?RN2$w`(=DaZLsx=P$cB%LM
zubizup6o(fA&D*BQ8b=UR_ID}lKfWQLU>G%9WPgsgoVs!eRoYOZ10H-7f$LY&W7k_
z|CyG6qls3I`QfGD?qc{PMvf9Eyxw;%>6gIl2DhM}&6a3Z2y<AK^@sRMi#AmJE`j&4
znw77YT7r8r<)X&wSweouLo9G{pS;fUJuC7oP*^Y`^!VZe!5pu1Nu^36W}c?Osb~Sk
zeVv;NpL62cbXI1UuOx&x#sczF%n@$-!(#RdHzotm)W|Q+tw?0-qp++wLg|MtU-jn2
zLPxRkfW8#AHoU46%P@m7HEQe;7eAtVM{VCdlESXrn$E=rW+)VsXzIxnK%L<G6^sqi
z5P8(h{$0g{Rj1u1b!#CopQje=m6gG}xYZ)lTbQU^`~1+q55l-M*){onSO#_f?bn*(
zU_v{stNQpp5oo^-Fc|5U#R>!~7!{i0)QJOk*2#<E&sYk(`==aM1gRbz-)xG$TQ_BW
z0>x4FRxC(DMge2BtN-1VHHGDq?d!c(N}xQ^tpDA5MX+m5U+DR00*BH3zBcp4xx|Qt
zx|b<osJg;IF2@A%qumJ!bSbRvdiA~7R0T)qJzM`BHo^5%cDlbUq%lVAV7{wU#bbHe
zX1Dbw*f>Y4@>(r}wVmP7x9t|WGAS9;Z*PKI&(!OB56D6_?-K`T>bURfD)4Zr37)pO
z(PN9`Fs0xrnJ7<1rr>Lr3R@E-CLW)jpOlB($W_T=ISmA?oSBz*H^EPJ(&NDzMI?Tf
zJm;paiO|yrvS#*~p!BZXZ<4KqE9;$}m73DP{lND3mBs$`|4rq5CRA{9XxZOXS1l}G
zeJh<gU;^6{^N~)Csxa4CCM2*^8*-JlA30d2IJd3-wf9mA=4`g9Za<}iWGzc>)nZee
z;SejAkWdFrz;L_!bzR(l>Pk6o#Dv<VW|1Q!>UgmKNJvtl9?ZAhZR&i<gd(w>($YZ1
zGo6GST7f>+YI-W23N=Ij(hlL@B^uDrZ_{^6HbA_GYL1(QIrvwex~q9f6Caqo)^|1=
zV#g(M^Znu$kX^CkxJM`rjGj9sM>&l!FsS?czc~wh-Z(Kiuu=<tjE0@PhmCN;`)OzC
ztR=qk<k<d})<$2Ct(j+q5u|@8?~)g=LLOhpOUip~R9g^M%Fm5J<&15!P_>3>P^Y!f
zAsxsn#a8v4F~ZP<>88(?HrNwW+honFi)|hK8YY59*jjAWB)rxZ;{#Pn5n;MW8$A>w
z;An_TDz26`es*B`YHysb(M2kIrzFMJ0I_$=MD7L<pq#l-kv6W2ES0b6)IWNNczSa<
zP#0)da`-Mkql+bXtmiHq(nUb~^+zj{ft?M8+$-93(KY&NYR?;O{PH^%JT(YNE}Ilk
zy`YPdN#8A5b2RLywx-1~SoqNPE$t;$7bn+`Ian%bB4=zOw!@zVI_JQAVv-ITV_rUp
zS<C@)1~$rZF)Rd!r|fU}tPS2SEmzl76zE;8shvz>;o(DF>6fC~xa*QQC^?~wGZ`u-
zTJbD=3Sa2Z)zN}pe8(s9gaSg7n4$RxSg0&!p3yU=!P%e7J=IGVe3aqMfo?2(4r$sg
zq^k)!PuK;{LsIBW<dHe5!b0KYIji4_8tDBr)h{wEj?Zr%1<QQ_c3fu~mkLrLurfFL
zb*Kntvn%FSrvq0<onO41rl30WnA+zuL7ZK?5G1n(cpSMsb^fy&{K^wfD`)ZH?0mpH
zjT4CYRh+k>T?JP*dGC0n$%BTIJ<PdH1Xvw<fpddO;C#}<n`Fv`rx|lL&+gkHWsT}j
zH919GIJmVmgyeuz!Flx*UORBC@?Yrjkw?^jcbguBFA#f@lIK-7*dpic50St+S*WDS
z3!gQcClWY!BxV%bfZQQ`c*au(k8eDhQoK4x2ru<K$H!xXzu{k^8JyB^JbiEMTH+i*
z2JSn$WQ#S5``bS7H%KDc_s<{)=R9G>C8A*V#0r7Dd`{epJUe0*DX85!PdKPN=<k-d
zg0vs)t=n61T--gm^}7HESV0GVxkoOAuYL9Yk|{A<=5%{qR>y&Hc}j9wpC#(<KT&y+
zB#LD`QuWDqI6>8Du3PG6iG1zQ7HvNfunW6KZr$U;)ufe6epOn)F27)x&h8~h#hC||
z@3>(bT*ozHVu949-nDYKg`pg5!92jri`nkM!_I}~*bwbc*&!zkXXSI$O<sKPy+3hT
zUdJ4Vvc+=C9|}R7)$ldv89!JYr;7I6Hp4U30LD<15G=-C7~ZlI#Bllk!a!p)TnIc=
zDt|x-yPjOpK)Vp!9`6cOD`%pioz`8DEQF`4<R_n>UxMSNRQ}49OmIis4)$8C^9_kh
z`R*f%?hRp;d%8^Vm~*^L!ATe;_P6Cbbi~n-lou0t*c5H{qUp;!gt0x2dAN!pfvD;w
zMqlMjQB(6k`p~5%I2UiIy~|Y+U1t0vjAtf@Qr3Escu)iiu1+wCkU~_m{CM6D6X=NV
zlCL--3J&eRLeWp9;Vo2Ua9hy?1(B6p0r_HhL4C2nmX^gZ*Inzo9~k&DzkH2ilsF0&
z;?MZR$l=(l9kKQ)47?eVPUo_bfTw5r$g?F1_-4`?&AEkvBmPgX>=Bhj{eSEUg}aI<
z6YFZqG-AN4t>o6|q$Hjg4SUAzRz^l^$ICH62KHNRyRI`Xg@oh5$zL5+5z!Ls(*28$
zFvHcE_xWVtHEVIZNri$c{owZ@U+CyH^fIC{WKsNU+wuV|bv)`>5&Wi`4)bz_Uo-pV
z@Fc%_ddQZFyQ|D}EPv7==G`Q5rCuI4y0=^~^3}kP8}}O&1Q-aH+fb%yr-%&ZG&?R?
z6Z%=oog+*Jz8PehMb;{zW__Z%<69bREkd%L4=~WF?e|@2hYI|^md^eX)5e{_ye0Lu
z3?wD4&*f56!|>0$)2`k+XqesqNsM6voAy(eRvx54>pJJK@eN%p$ZKa_zi$E+CxP=z
z{nfE#wcF)@UOfbJS*5*mHbu*JtK^3psaXH^)0Hem1E_?RR2R>g;!=?$HDjFyHlCOs
zh=w85E|$bK)-jRr?qH#dmnMET#r%kKF~Xhn^H+>Z%y6~h=B@}28g3oAGZtcE3_5e=
z_Tdt9$Z>mjx~$TIyzIVM$01{6R@ZSc-dNx)Wu>o+oi?V}M-Ar9=qS2Kt(=;&gf@#g
z9IdW{!_v;HBfRLS7F2&e&9uVBZ5OKIM|B|7Dc;oXM#sa0K4-Hctr4WK?{Y`JF7iF!
zA8l2qgHN*eC+(FDKA7>G`pVM7t-Zb+!WWG(;H(<;Sj-Nmu5OXu^H>iRo0I<Ae9j2f
z^Wg>GoCzcsCfoM$=%Zi#KOaGJL+FIIdc|1+hh9iZWozkU*}LU8!cz1xFmv09{~6%5
z#o1$pqCScQI_s(*=)(QxEQhNx3j!10l)Jn1a79tVS3gS|h1#iFM-o{0dd@A1^PnDb
zW0Ka*htTkDZ%o7OCKdu)u3c>H(nXwh#fPIt8rYM(t!kRX9y<aH-i@p2V$a>fQ)wd<
z?0h=#G)>MPb04fkG;MWYI67c+HChFM3o;>ji|f6dt-(q*+8B8DV(po&3TXA2&gA2^
z#~w221w}&(ypDA(G3RBF^MS8UyORax`|kEfe>E}Ss&M?fiX<}YjBnQDvT*Wo!sX>J
zG(au-9r;~X6h@uP*OvOS5Otlq|La*QEXUnzMTZ5jx9j1#5*ZdsQl526yQxF0d21~9
z2_8`S1o-T#0Oua}(c6j?q=>2;W_59(%3tc~x$Qug-t72}ZWScgjj#FFKTA}$xurx4
z0otnsm&{}-VM~nQ>?xlqBJ!}|T~luYy)O0pWlkwzy+?}8d5#I9;lo&udYT>Hl=f-(
z#mb>IIWIRMbChr|XE$WF+v3H-XrxPt3~V!=ze-U3O(_3xGL}%W#mW1egvKIAKK2+&
zRTYd7K8x55^0PrrosQCmFiEsnD10bdJwiNocYD0P*c$c>ZNV%F31kcNPN<EK5K?*1
z*RGni!t%;FRmU7Llt<n2kTm;EZ1M6hO;}}xQm2<S+QA|yU+Z)-Z}}*3#J?uSCTA%=
zopyZiDnb|yYj^LzmN7=8&eRwOFIb}BpP78#YeD!8vTlaaCkW5lwj=7>EFnEVS}C$l
z05y@<wp<^ZBt{LxL_J?vK=6+FDSKspaEa)<%zd6BXj^vgpVhYjr^1NoRe3%r$xWOq
z8=fW@q8g)1u9)LqIXyqci5J60p<y3Y{}BmX_bx;UnPaY=-+4Hf2So{0asqqji8W(3
z(JPLbK`HYGd5g}2^cSlh74GFg^zJC3z!@fXsYX1P|HcjNWp|>u%Q+FK%DboaFcUBT
zrIAA<H)ucCd^42c#tr%C(Cf3NIQ-I#s`Z>3p3m<se|C}w7gY9%SD!FNJKf-lPCqvq
zu7`E!@be*}e3kG9QBz#4JTH3JhzEH|t@#Go{CE^v_h?^+2|`^jpJ_<tLD$Qfl>YUC
zsJWe1qi1S@qwg}^{;KoBDs>{KP+u4l8iN~e*E4{Sz#GH$yo>jb%QaqA1e=}JwUu`<
zkm0`VdrcZ2T-_4m8<=7c%!&B?RFr}4>2<G%PVwVh!E>qUGI1zUG#VQp)1fmh(I$RL
z09uwqH{bk}KqIxW<8B}w?FTh`O=|@)t5#e0+(HWcscYk(D$#NEnptP6iZH@=d^3A@
zO&TO6&HT$9W2io>m|<U8f@q5vwLV2zj5EU{9x;va-=-g}J8eaA$&|Hoyi^Wt+3_14
z>x?kFq*UC2R~(Y!YI$GwDIh7=QbA##5mMwVAEa_hz;4O3`@U65n65GV`d7~gVf&5M
z8l)vLRkPC6#6<<(-DmVBrVU|n{EVasq;R%Lpf6yz8m{}0Z+G+<Vo6IqZ)l7(*r6_x
zzdlkHy+tWc@QWeLL%Lo|^~u0@a83At2o>BTW*7VB4e_`|@=M=lIV6-DMz?ut;CFZ&
zw~wt6)M!6Pa>wKWPnpgiMVi<!nHk}5(+Euil4(sjim+PvVU;bdg@HbMy*zzmloz?#
z90^rMy<+gyvRG|cU6Ema?K1{f${scCt*Y>QGaA+|pbMMwz;#vspY!9811$^+dIXwY
z$DGr{FPrcsC;!l~f+OMJ9MloJZ)ae;gaM{zIHEUYGr*ZH@#NnkzYbBSRQH@Wgjn3c
zDxDA$EZB}#WFFPPrjsIWmNQ1Ud6_|V+hmGEwi>kyxtieMdF$y&qvQUEqy7;)m^e54
znzix$q7P_?&R%;$M}o56N3Y9f_)_M2TJEnFM3a-bLQNSE=!lyn`pl7Fvp1V9r-Rwa
z^AF#~FY?=}ZX>6wC5)>0n}u~3|8uF!pKB@@nE!G<F!{|=RH_`+5~eMBOK$ct*=Gzy
ze>%E(Zlg6eYHA(Yw#c0~dKZN6#4#{Q7i-)#Y6Dw|3Ac-Eedx$5`EF8YAadP2dsmDd
z-m3(jJmqG9cbdCZHXoxyEq#OfQXb%&u~1)cu>n5ykJcu57(?(Vp1vsqD%i_uSuF<8
z8y@l7yy#g12_h`pjVwG1sh10VVSrVNGhRQx>ET47nMYb53oAD(S4xB#z@gu~B6+0_
zF7I02EwaWQDoOs=_KxVI(0fSp${8Alnm@$Y-?WDfm&)%FV|}DDyhm1+QE~R$<Dz}<
z?Qy#;h<D0P4@+*H8W{MdhWEK<zyIsC$0l~czo|vf@+te89-O9#$$R?~j6d4rPu5SH
zls;{=T3!e~cv}W+w$;DC5ACsViNj+>tQJ;p->IRwm_J_^m8Knyv`6B)`+3F6H1JT|
z`3^@4;ZJ~P>oXI3>>ls-7tGVZsjd8`WHC2XgUd{Acd*bGD{*ezfQo$4p?6J-+@V;O
zzVC@(;nDTT?FwZSEWgYl$UHelOmEqJKS_#(>a+4eW>;0g*ty4!m;XC)zWQ&<mVChF
zTIITbJxXxX4Q@W$(o9g}J01M2f%o*~_x8Fd;O6f`B0c&=gp=Z_y^-kzTmpq$qq}6$
z-4<q}e!PlZz}nbsQEdm67#W*2*QF5w3$>j0@7b()(}rumZ1E;%{ndn6Njy%;7F`kC
z!ru7&@#GUVTljPy^h(VZhokj(gF=Tkw!$OQ!_3PDb{UG=cUwe2%dOu{8*F92ygt9#
zC&?P$5B@6oTp<MiU>_d;o@Ta4=?|7yqZKMct~7N{^250*NbFWpBU`}6tV>|gk2WpH
z9}tM<g~<m&x=nT+J8jtc%X<H%xJngMVXfuH-{tGCsyC8sar5apnNmwUjTUC=264jb
zd5prR&G~GL=A3aM5lg&WTfM*V!~)?{P-SlMC5L#jmBrxPX@MxY-pT%)e?+t02O+~R
zB(Z5>=FyAS=D2>T>d_ne3?ctR{%Z7-dSYlu=^@3~9N8Obfkn!HiSu)9A}o()V*23U
z&4X!XVC*hGes0?zLcMrb&VcJDV*2ni>J*<D*68kd#u%L-_T*dn)@t++;avr{)Wew&
zRQc<!SvOAfcKXQ1Qu~PCyG|Zo@yisu^77^?`o;*amIu5pwC}`9hc!d1cADaqRM#E_
z%Q51fa$oFE;{l>T-7ie8-vl=g*Sb)jj}nnd?4gZLKZ&8@!Rm91USn^)S2E)0D6#$;
zW0TLmUxe#JC(ra@20XjWZiEMp67{aGeAqZjeA>HwBO{D~>49=-t%y;=JB3v<B0Nq=
zzML+#<zm43{@VN6rK7~e-lo@=8z%^smiWJi7wF(t9-JfP#|Zmq`X2AQe~6)Gm$-A9
zbU6REx>a*?jHpZtY)iTQm#Eq|5`X-lG2Sy?S*NWUC*oEtoS3PeAtu(j)?UsxLQv}8
zKMHCSM5(Z~!7;u$!p`S-#-?6F?7!Asa#v=Opj;v@?+slb+<vY0X{Q=OQeIzlsmUMW
z6}^7AOn?*0N&A#Ff(&rd@#JgKuqk4?Ui^SlC>P8;w3d38>0@wr<vPy3zXZA|UvB>6
zM*EzXPo{`I{)_n>zy8P!alt5sLge#;v|aYWCP)ttBxU@XS^o%eE{$zn;r!qny<&do
zoi51dp11BSohRIjRw$h~D2UZ3KMg&w(nact-S<|Ta-emq@TKq@!tktrCcgKs4kis1
z`+@>F@eSK_{r-s{>WmMZ40SLOzvBLxGA<l9yUdZgLL4oHXU(P`YNO(;K#YR{51ysJ
z%1yX00SouBkiAaYpl7BXKUU2P>&DM>ZPrq7{-MB8_e~2G3H3w%G5q-2^YG)gL20Nw
za!lWPK?@EwN1Zo@2qN`~&S_0j79W!tDsNpDJ%@&Bp;%!oBpthCO3Fj!P*ND5oEDz;
zCVt$s_)ZHo{GVMKR>aM@GX|R`X~+goxru=|be(H8%oaHwbVf}(Zh(e;BQ^Xc@e;s<
za_f^0HROG~dExyZ8r(f4m6`;lu=nBV!6J8cOqD;-nxQP_`v+Z*ObVn?H7ozI{v8!D
z;=9}T?$*Mcv0knXdt@=xqHl6^hbD?l<PDv>w2<OYBucNBM~TGFiz`&LP%rhN)GbmQ
zv$2&G9Xk{e#8|2NVn`cuYP|*vt~wBKo|(Izsf_lpfSWdrx{yt66+h~&i?y*b+vB*@
z@O}SCU%+d9c$aV-3C-3++>iUW{a;d0N_*8b^wtp9PlxffSQ@}aSmms=G8I~MT8L<?
zF;bWAD2Y%r!uO3sA=^%B;JvD~rP>f3Cw6q)U1?0mx{LvJEP4uGrXFjcn}JqM-TaZG
z40I%EaO?@w0(V%RY#3>R^mpVTk2w=GKEA%)`0wI57sns*TFjj~D%0hwi<$Ux(Ql_!
zm@anZ6!i8hFtIhx-+_oX2P5uD)t!Dl9BHU7n2KQHf*fCJ&;?8Um9e)qvo}Ds+iRPw
zD@+WWZ|{vRwZelotwFa4Lu^Y{caPu2#AJm<c;K)NF0Z!Q)O*qh%!D5u#DFO{##e1W
zMkA0lU}rtL));xyf+sGEnc{h2ZWcQi@Yu;Wme6U8gJV0TU-d9>oP);PvFKlCxG!n<
z3)3O3abDn$KOJ`zqt=jT>|y3x_PlD|7(E9@eCs_7aWCkJxy~{N%=3tJDI^+$w~1e%
z_M|T2!#o)-%?@Dq4_`d9m@EB%C~`NQq(Ob>#Pu5HG92KyY|1S)gwTH$_uHb>;h`ny
z<{z*OtM{@RA~qYK=y}1uT1zE7rf&D@*|7|R*=tgBYxSVHp-{nhMhdqM*4V6GwhT5R
z0&<&qb&>M<b;;JRLZB00?m5moV1KGe-G3U|SVcRmST;USyeOAD$dloKPN|F<1!Ee1
z2W^xjjQWZ0L|LLp&jIoAy#8;P8VH)XF(x0>$X3aI@$x}|J;;aNr!)w4JoVxfk5d?B
zXOs|q7c>A;K&`**;YQgL*jua$#Tk!R&!=bDj}$Z})330=-qNe8%cq2Qr;kOX8*!4G
zVzP=P#95#x2C8dcki%GA@9y4aZt|ODH)#?Jw06Z%61}9cy3dx{dy|(ueU@_X03Q(G
zFIGhNmO#(}FlyO+WS`4cmGu$?zP*y$_sd8G$0rZ`7rTL<G!oB!y_aGKp0|_Fn)C&b
zEA4F&lf+MMJ;Eio#>y5`3)jvYWOAd2_td83<NRb()=tH{TWzrUgNx;?!~(IgrFQ+H
zW&EVQkzNVUIcxk60096043~E})qfPn?LD*i-uH6v#kGBpODJWfp^zl2w1h}T$*vHk
z5<*5~RAf}&Peu_Lp`t>_o=N;je*QhrIp;agbI$vm*BM|L;mLZjikUP&mOnSkg68LZ
zBg&c#!8x`>F+_d|E7mp7{v5}Grjs8I&@mgrK+qocgs5?>U4K8+DX}1W0d0l-dkw(k
z=YVw@{TD3kz^lsh?aW9{pgxlSfj;~#f4A@CpXZpZN0*gqG&7=bKYd@itOwB-mqtaT
z-r+p?7KrA!?N8yFEVtJKQNA?tl}7_O-}Rw;?S{<ggLqL+)iWx1{jLKkg)y9UPbc*)
zFe6SPPpYpZ6(*eqy}I{L<JwA1yH9#CqsIqIP)vd@IL6Hl$}ukDS|^Q9oqEEI97f9o
zKW*wj@N+}6$%0=vBe#Z~v<M5@;hV8c2+{!oKV$Nu+zQT>>t&gf&w@gm-|slJtPRgS
z#@3i3R`JB;5s!@ntcd#MYf5;aHjrjtSxUA1ho?w0dKhW3A+?oR59hxW$n_VRJje1E
zznGBde?^lWx&6#w*odV7JsbCvblN}sX`}vC(E}W)ui;(zNl^;86^^!9(&&(_52sde
zAtyR!A=mcu2^n70G&=qErAOuAIbx2A+{oR-%!AXK4Ekfk9y9kDP}0e!hRhBg6y(sZ
z9Wg<Ik|H1J?5~XI!=s=!OD8_Gu~s&`Cy4~j2l6|;3CyUa<q6sDFh9y=`)l=rN`j%!
zQYbNn1*sm6-D(Qmfn+${I^{dGAR)qK%#w!<u|#BgDZCIsJADS#qKvelJ}XkR`w=^8
zY)@$X$0vl6g?psJt2M!EmqVGy5l-~+<<RTRcwsa%w)3kAXoB5%!a9}0jl_;J<a8>C
zqUNCBKJft}R9{dJNh0#1xH>v{nPD+B`0m+S=`|vxiJfO~DB?p2e%*_aNCFw|oA&6o
zAi@{ylIfvNe)PpF_r1$oDa4dC@9|WO2tOnDu%6`>K&Nkoigf*wL2n(-xOB1*;WhR}
zSkhAv$t|_+vrv#jiDwel8F`6N!9H=LsaFWONGwRSxyz&Pn#8{Ay4(Ikbt47tA}GGa
zvMQre0qtCN-NzeF1f=~#r-4ljeV;Z+trt{6`|jUWyfI4zcu*Ml`hz%XxI;gk7^jTX
zT9i~yUeg54Hy^S;luM%G{OpX&9I8krH*?E=uNHVIct4COlSXGGWS!@3tD#cnM9xG-
z5{T}PnRoG&Mb#{qt7cR+&^vn<g?Fz>P};F~Tqax&vA=hJ#a>51D{4W6{9rP$jf!Rc
z$dyO;q)#;wX_{#IPS%!~0|l@bHy13r6p&sQ-SWj3T4<hMQ0~qiZCE!G>yu$rLMvOr
zR~2JPh)ZKKt<Fye?DjbnpU_iAn(bAcm6BvswsCEku|yYk8S<!$`>3FsJN^X_(#c3^
zqT*{fryiK#b2}Yxsv_Rr#SFnIGAh2o|MWtfK8%VGgsltIkW1(42{C>OGVBT8qa|qw
z%565|F^|*{B`RIJl7)f}$X?VRdTj)!TaC_Bu4y2T`l-;CCNfeV$-Dd9%LLRnD6YOH
z1f)@3V0girjH+B#jP%(spoQw6d;OMx((-;UB&CqhijP?91sj0P$<HFVI1zaz&IGGi
zYN374e++Ulnt_k!zYiC6h{$efk#L=bh=>JWqW<KYflH})_$(h0rEQkE76z#!hjW&d
zS_B$+7EDgLl@ri#MSsSTCn^Z**SpA{P6O+24+$as1XTHKJY2I$5jALW8{Pd*gRtye
zXKf=5R4^}8!rv!{tnNQDh-5a0&;G1Ui4=82at*4DUX((~$v2M5@R-BAx%ma5Emb60
zB=~a2HBnUckx-zrP6G|~u6F-o6;xyRTtzWX0R1Z7TWI=$2KS22+LRb7qX5<{<tH*c
z$X-+ZeM%w?B;ddLzIsK(auUjt>{*c3sz$|G0~+)>?%=+ltAGsqj$LeV+`{{nmNVA}
z%-}?gbp^Ft4mB;-=2lw##z%5`;>H5Zfa6J&Gt!bpD%sG%lRu8HRF}#gVl{)VqL0%;
zAyUXjyjyZgwj0O4@RKI*02n5l?r(V}j(U?d7ZTJfvAP9!zH}9Uw1n#>t3slPPmJ&G
z?U^1-omkveeFlRTqo`Bsc|xeE@$Q!QlR-=~DJ3lVmMJhbIQV(G3m^;egfp8}BiL^i
zA6coFCa^%*dt~<>eiZb=OYM8m7<PZwqC;=m7#2FNuL*bZAgw!-@4Obru(YJd6Hd~`
z(D&udWmOMORQ84-Y3@IUnYIfNat;|m^1_;pt}Pqdn;iC1kuZui*~wlOylV)yi;u$|
z-C#z#q^8_*_a9ipoAKf6Lk1AZ9r;aHnh|m2tX?<t9mL!paz6N^VE{$Hp$As!(53F%
zvGXbY*w8L>mx{~!AkTE8c1h(Q-fOq2nti$#v;L^EbD&ob*iK&dC467UZ!rxX&$Q{l
zejngz7bNQep}1i77sDE!WPaIwqM#8A9-RHDkV=I@i;BMZ8!Nbp!@+zXji=bz`)$%)
ztGZD1`O2Pefy+2)t%vvYS~RZSV)tkKm@dfB*>t6rFX4OF_PDvPR^#Cb>hBG^bbw3z
zr;x1nB7Q@bwW`{$8E@729+^wi0qW?Jz@())oY3{wqCln-7d$&H{9lbWa3AbBLRg-`
zRchE-5*>Q+G4BvXDQ#`o2pWIc=QfQWZ<9@4rt8P~s=Iv_D=2W5J!`c=Z3+*2J0PoA
z@ExDnp>_Nqg#xtH$JyDtCvn<=K@$_DAGq}Xn7{fj$Y4=zvm>B(0)Hjf`&KP%6px8L
zWgd=^A!Z{-KjF*-ekji2)v514@y+%ngB@)o;QC4qIp#fqf8m^MShAhOZyDTs{==CB
zX|8McZe~v4lM{>Qetnw8BWWY4)t|M%``t&?r<{{`RV?w}@})U^SgAO3kX{QM6nN{8
zJe|a|AH*@7kYB_PUg~L+p=iRZPnM^cZcgDmY{~<+nM=4`wIS8RXM1m(r#<?cGmSTY
zthEW#TE>aNIwGn01Tc}|IN~umgD>hB!_?4k{1esRB4=C!I$U-%ih9lAd#gveyDR_T
z-2)rVS2Q)iqj@^6L1F>-|1&)EqIeD8Gkg5DZkReyHqICfUEA)<o2HY2?d!OyUq^C%
zry6`eoU3<hyN(HwJ^h%>CjLF~TDpvy8pOozzBJkM3!hG)dDIkc;qHMA^MP@y!1U1n
zfV$>yT$SGI*M=@VI!aJy7@Si9{em(9*0L46M|(-qww3|8$NY1Rc2<FW9-o0*2UhV+
z6!F9F7!#7|5Y&0prVLgad%_(w{=?M_(*q4DEGTGH=Fm+GWeEJxB}E}^;D3}n(l@rb
zMVIsaKw*;-95M^{$@bmEp|>S?*HI1>D{<lI={-sin<sxL>f086?d)u`Y%>>Xdn0al
z<(ndiHBH9LThSwP>Ez83FJ9F9vxv7iP!W878@HcpU_gnt8mcvv_)&^R*vURoMUYAy
z=?FN^gxv2A9_p>zffUqEA0oX|fZNU5|7wUVC|2J4URkgpiWo4rQ@El449ivRQc7$n
zHRHRx;!$CQWE?#_Z4@AmL!hB`F9$k#Id6B}1yR)Rxo*IuqyX!t9~(4ExljyuqU~nA
zI2w+`Im7uC;LfW?-(MEIh~ih->#Z+^nxD@^v<fId%`>6U2p)c<Lsyq;G$(`1!p3N)
zwYKx0Idrlpa|b#f<5*sBS`LM@mlb9BD8Szb@vQ-Ng2;Yr*OVKx0(zJ1X{p(y0E+Cl
zXKmDkQ7hBp9^36b{r&F6!eJ{#$dGf^^&yC&x$J^2y<}y?X=7((w5|w~>~e=69TrEs
z{#IptxT1>mJ^gfwMwFnd(B0LcN)qw7ZJ~Y1>WIE?)7Fb!1^gwu*r$wTkR~JF0Qorq
zQFhL_c?YWk{agHj$C@k}oX;%^oX|v~rzY&Vsp_EpXe;-Kw>*kYt^TW=OhR>2S5DR1
z5+G;2_3Q2_1@wcx!@jwQjIMj>FUh{wgyd7Ei-Vy`Nc2)@ibNF!^|Y7#dGeVA#;s1t
zyF^sb2`9eX7mu}(bN7!sPEiynpUS?*T%(GtZv|0pF6*Eby$IdaV>(bga#5$uNgeeR
zb_w#y=%PIz6>4LHsBnTms{hZ326`0IWRMW0i*hz@P}OSm;eu~zb@u@xTIu3H^X#@R
zdgWH&kt$&XOs_qyKILkn1Gc+=#yaYvIC(FQPst|0@p-gmp+*ZOaky4}DAhq6-5U;L
z^Z+<>`oE%`Boua$?{R0YHkz%TA5YUXgE#CCes{%?kYl^E+GBkR8Zq__*hQnk-_-y=
zk^3aXc5621ZOC?9c+y5F*&MuWdk<cVAR!fv3de{=0*V+arhoX$9QJV7D0pj=kZ=yz
z9lWiI6u9@BIz(6iAA7;l@L4THb$(hdC8~%H2nBY`_F4cru;wpCNfZ5=?@jz;Cxbd4
z$GxfgZ2=jYR%XFB2`JL6^d$S3Fsi-3=cV1~cAlVsX8PCa$kd+aB!>qNl6f+6rKivW
z^8c!fL?Bf(sQvl$^A<XEw8BI6>23><tvuiGqCgoT;o1vH`D1wc@&)(&UUQ(AtUeeU
zp@^RUbgftU{sTM55P7S6uQ^EE{5BwYNFLQOw?DK!zJ`_fT9?vZ(cn3K6(!zC7Ij@d
z*b=180M?<6-r1@&u(S)zQ$8VysIQxb<EmI-I_-m>N}3rIuZW$y7AuO9tXJ78f3riP
z(}YeBgBi4>HY`a^2qMV&dG!W?3j)nP@FWBQyl;(fvX19RapHz2urzL{4H>U~IgCL*
zrYYV$%!OzMfe{Z}c;KdI%dP7_Ou^ofVW3T)6`d!KUC$`z0haW(s;mVQm@5#eToz_P
zT?d(JY$|x5{LI3qNDdQtQmym6c4{40m*gQuUE+a`z`HBKWMiOSoQcUu`-N`?&ZnMI
z-L|*n4CWs<f={@<jf>tm-m~%QdT=W@j2Un+$>kVA;XIGSzLIXdDeK4!4u5W#xb$F-
zciaF<jqj*kQ>(>_m!B3`N^`@xG->r>9RnzqSUwfg^cBmh**jABlMA#b<0MTI^+DhL
z%l&Kd6Br9Qo0itf1rk~NFHooS;8cawvn<&~Osn1c?#B);pmS2q7qis^-ZI(B4&mR}
zks~Rw^J`on8Wp<pYAqEy3)Od9*Q{dc?;d|i*v$>sxJew!8dPWs@7U8LxPh%FP+#RY
zbA#>K^1PPZZEmmp9K>bx53^$4lz4xV2c8Z351PyB!ovL1MEy)U@U_dEu`uNYU5cDg
zRGtp(2(7wM!^HsX)ao2*89s1dEaVCy=m2ZX<exVe7~u}({!8C#KJaY4WU5`S4H?Em
z*u#D%c)`xlcJ~B7IOwvbG}~!|Dm73N0~Ro@&vtPj?f|d3&mm6J6tGv_Z$^B=3IVU9
zi_Cchz|K)US|E`E)`fn*Dizrwc+ikcWfugg45Vwh%@ujn<-CuNIUw~Fm77jR2m&sb
z*_aKJ!TVslp{qF;oPR6Y7Gp0Aq=QP<r_#wV(*0lh!V)+9x=Z>{lO+N!LEo&+9m!yv
z+|0gN%L|F0P7OqJh(UbbvbeJd85~2Ws(m{7-~r*mwT?7#kQ;vx=KPZc#S2}<E#3U^
zryzR4%~TQ&)GY>bz9Iqp{@B3#KX-t5=waJ#R%saKHZIziO#;RpudnXp5`;$X;pEUI
z8OU?YIYGTn0%-@Sk6czlV6(RW`J+u)xO_UozCV@(kIk6x@!b)I0=F8L13Tp5O~hV}
z=wuT7Efw1|*%Sf!lFD>dssi+LO?&1PksxU<%gHQM43-beer57egqt=#?bY2RAf2CT
z4d9W0KIiCJT7eRzFJ61<$4v(6AoogBtt89{R?;WUD}(X8{k?OpWcVF#aWdzUG`zPs
zAzf>t3aPg;F2yvGLG;eT3vV@95Pih`y7HzPY^c!^4w_Nm9!taX5@|Uos8sOYJERWy
ze!HvwUnro3c@s1w<-spEa;LE}0ZMmPyy8sI20x$h(ghg>i0L|k{dFP2xw@M;+d&=J
zI2$PBuc8QqFPP4cP)#^`z~E0drVFf_ZSxnjlt9lw@rPcJ7TlX`3^X;Tf|A_rek~nk
z2w?r~wNsu14gN{{Y~A%><X)n%ELjE4jXp?>^(TRtU$h)cnm!~hozW)Ase-1TTls@K
zBzRurv2H$K0Jna2WOn^ig{0%nB@OpUKx?jF2qPLn%!=ZGQj;1yEk9}@6-0vSh67()
zV~ioWV<XY(q&lb^8~dlV{fGZra-0?&Gy%ciJhRv5w>j>WUT)ZKEjTRvVrQ&61{|^n
zdMB+l;C{W<HR1{paF=7eXUPD4w@+2-2WdccIemkt9RYs%8bwLq0Q2p|W7z>3pnSyj
zy|Je{BreJkEDg=z@8f-$4cIn6$}!eD(^P@YT!8#6+YC}}l%Jm+P=^TH<MQL{N-)Ei
z@2WUw24cMlBw;IcIGI#eV3VT&7xwKu8zx7C6QwSP-p8uJ$h*C&y%uuty1X-_(U=C<
zI(j|xP!*#4BEG-<B?Z&mFN}DA1{=W%z9;Uh0Bfs}<7kE$7#cs;w<XeGCal5tL#Q$s
z^~k28R3UhqPwyeXN`t#JPgZ6tCAbj5;Bjn`A4J@6>s?)D5Z_%BKE$F3UZ1*B?Si<0
zXV+%dTA~@8rk}+=A$cI4tHJ-yvcfGvJtqMZGvHB|dD{^x2k(Sd*q)g&g3jd0o3`Ts
z9B~~^%LcMwtYFU`(en=rGkC_tnXrAwFK6vDVwMJh`x9?>K3>DfVM-Fa)d2zo!8x}=
z0-mtP9I^YcjEQp<dLB-}VDuGh)s;(PAm5x&26l^>avxe*Z8wE2jwOZ$UlE{YTiszx
zpTTNZ$_3rnO+o9)F}?ZALZI|(B0loKBsSgiy==|O1X`wdQ~hfNU|d^r-SX}@#uVn)
z|1RDbIH%Qw%OrQeF)o2HM~QJv@af>W;7%h@T9jjSF64uPFBMwjx#QT1@OX28m=T<g
zaJ;y>eV=rC=}wpao4|Oj9<{D}8^Q#$?6QX|7wjn{$N4f(W1hDMeyG(Oz}kli*F<{`
zU{rV$>7PD}`B_`0un8DI+k&)AUJM&N^_1fsxwU|qRj^%7KBEuk9g$%11`Ft0FEcU+
zEny`&%$Co(^k9(9(K@+=8B~2AI)T+PwyR;j+>NRS3u!7xkESw#4^>3UOn(K_yMsqY
z<WNB%kNVBJlo5*j@Af_1xrzlQVCNZmsqk0X!ur(;102jdFIndQAEy1X?D9aAF1Y4z
zT3$TK0Nj^j#pEhBu*U4~wX177;QZ7jKAwXCmfLrqnB)G3<tzFAak!uZe*1j_4tLRm
zbTZq&7z;Xx&zR62Th<1GWVu#l9X&kG)oIj9r3dv}NBPQvwP6(V=&XE44~hK~Noa`y
zt~SaTJl~?g+Q*L@-&g42f`1uuJ;4NhE!p#QNfg-Sfj<(kV1Tox=Q)BGnBm`uM1H;`
z1^$)aVoR)K0Oi#yd?=L_^m1Aosw>H`T;yZkYr+Vv`-d0Q9ogZ9Tl}2^He~p4WUIP&
zk`dlA%x#X6IAOPW#<|id61WUBSvEao0-DuHD_aUToNjJin@%D@VcD|;^-N|E=kPP4
zJIo82Uzi*0bxGjqE57*k5etygRhNeP_~7$2oukuRE$B6Kdhw@=6`q*M|9LI61GGY|
zW($Z~V9!}zG9=9oRzsy8g{K8Ta{P2z&_hkI7jkwtP2m9Ks^d~IA_#I;M(%C$n(*{v
zMA4cW7i73K{{0gm40q+UuYZ3^gt~sZDZ<P)SLvO(pQb1Zl53MUrS=ga+b!g+`e$A!
znEV!<@<$A;-}svuF%w~?)}mEsjStS;9aHO>k$_M+Oii<m0G`aWudlY}ypLrihlxcR
ztls9#niLYCZqr*d;;;a`Zt)Z`R*;1WzM52yOahz>6N`QGR1kKGgy_;8l!MB{S^wQC
zB|uT;(uX=_VSpd`jYqTO;qk4IB<vdjgzGy4F1-+eU6k08l{Ez@HB6Ws&?G{!okjGQ
z6JlT^su|UALJ7zUd5`WE5dnQY*JnqOfUMe*fApiukY(CB!D*`r<ddgp<C0R4T`m>9
z?ym~JXAPS;6ty7OiQa2VQ3jMN)fV0{sDmi;p5QhS5~S_^=yfMw7A)s(hbv}kKxuUG
zz{ffg%ox2Zh-#FBeBb?tb+n1FZk8v1>M|K-bj1X{=j0*(%Dwu-xF(bsri~>XqX7HS
zt7*?=6rqR4Mdg<u!Orwm#}prJIJ9fff$pFZd>RU%&ub=u_7w-|rBogGuc(Xk`-U>)
z)I1OiI7Ei6@cNeNAze6rh~0tKpaMF_EcX6uBSVV_I}>5A9`y5{-zb_^1<$M`-9%9e
zY?@f3s89NkGB5U!lU^Nky2m}AP$_UTswpWe&=7hZ4|G1-RENBj7}jYS3Y_)l&1RD~
zhCSY)qldp}fc<n3`?*ds^k<*Xf^HMYy);xP7f%3!fNg3ojSS5%GKz@77^I$45{qFY
zg6%;i-G`whcq_4y;&T;X*r#5RYEJ~Nm+tBQE1DovdBg3#ff*D&xt<Vzgb3=@{g-Z}
z5rDxjxP<n_405(apZroGf`gPn@wag`nA*7YJo+#V{Hojyt*Qthv12OzBa;fGRW!%5
zZ2ujRU!Gj=WhQ{@G5TWy?20fbFzrwHM*|<7uUSUY8W0f>*eAgw2a!o^M-`>bVPs|1
zM~qn=o?bsUsDDTjO1q9^)^FP_&u=`4Yfy!s>^B|m%nJkd+<q?yqdCkEG`ih5ssi&k
zg&%G5Lt;FyAZsTL9{CQHM*mcTxXq;SISMDZjwvk&#nOOJF9c6@RRlr5pH%!dBlJ#N
zcI9f(V7E_gtZA1#6iEij-ga2Wf{JWoKDL`dkeV2m)J{3*cWS)%=E4G|uV+uT^)Q2V
z^M$<@*JMCPcX%ZE*Efv!Xt;vvGC-TE_poTDB*0hO^%VJhj5p+LabMK7OwvO7IzNfQ
zY9sIM>iylg8GTfv9v{GN=hAeVkq9K;+Y)6+8^Uke%Y1dlF!+JU->g0e!muSv)x*>=
z{DkX8F<TE)*yBaoT)(jc94ueTygfgG%S2iXUQI9oS0`dMOB5gUCgrP?w@>0G>CT!J
zHO5ffnf3SUPHs3ZZuzipWfGqs0aLX(BT(10OUxQ)hlABEi3`+8+_c^zl~L6Qp6iA0
zhG7=?TcQy5pnV*V;1hbN>T3w`LFe|rAu<7hZ8|n&atuFQey7sA!T`LaFP}<krH5#?
z@Fl0GBe-J3;#Ab8K19#nO9(l#g)suZ!j)aa_?;h9Hz@Y{;E1V?Juce793MsgR7?7b
zCvh3N=@jV!*Tjm=m(y$5mHTB5q8C2lGCiSf7R-7;Q7&*!&0WFH54Eh-d3NIqk44@n
zc~fEVR#(+u{bg)qk7vlWp%z?usqt9W2VK|+_Jlc=B`k?|<J9lS*SMgakjf=}UFg({
zf3}ULnB;t~#o3`kJZvC8`+A`c<oa~{r`I=wb;*t@P1oGPs<IQ;OT=|x%57YO-en4V
z&E5INS>^>6Sal=3B1Id5_}<!_ah$+na#!mA_BUepzcbT?aA^bMXJKiz(w|uAmU8{V
zk2b8w_pbYR0tGTd#PasJjbX(<`HqTw?Z)<L-;w^tMS-Zh<q&ps6r1<H=<?!OAC|<d
z`UguT1Cxk9F{*F`yYRU$c=>8Sc2p`o?LToc92ZF07os(S@f{SzgZF>O>M9<&{3;*;
z<x+D-=F$(WZ<Ojxx;u<jXx=dtqLM(cw9k+@^#l9UFOZ&=I)XjoCvrVV)`IBZtH@)=
z2==P$_-BXAF)TGY;fF}QCZy-*emdYcf@M|`AO5Q!$Bw)+r3;xM!fJ`uzTfjB*v{DU
zzsFZ6vC{N8g@<xPIMCP~Ihi$zS!RfG#yHJjg(r4?3UDO=bJt|!?T|6ddM4AMynhaR
z|LSMX=PV7-U;OldC*mjOf8rh)w_L<rZ9X|w|5OJ<&nFyA72}xUfO%(V{Ssz*`iAc&
zSsij$=d|8)Ph#IC{Jq}VE@Q@ow4ki3YCsB{x3j-Dg@tXr!E%{aFovA|wwnX0;GDO#
zEPH4MQ@VvGxc>NqjkM4-KTuVnkTuKn`0hC@?)q}+!>KjwU8p90C_@Dla}o~?ZtFRq
zOZ8y5{03Gx7AIo7r3~+#Y%grhEn-*&&!M1{O)S5CBq#o)GR#-qv^Ycig{c}F-?Wsb
zgD3v`4cxvffz^Hcw1T>2Oje-5S3R8`lxxb#qfScj;$?#Dyz>esasU1Ke<VgwFuYx3
z|4|WEewmJ~D6C?7kp{;rR+vD<bg5-=zaspWQFHz#`5%^h`52Zs!2;9}%WC;y1z0jV
zb)33u1B;Weur%dlhdHa$K}XLi0FPS!E0MBItlR5}{OAcza98yEV9KEYrnfnIudC95
z>8w>Z!zMTE3hlXexkMfc@;cs7GwI=f00030{|uLTG!zaH$KCgR<jk>aS-Y0C)){uz
zkq$>X$W@Z7sH9XV`OzUFDvBbcD2kMd%1)O;A}LZi%9#i`a{v50Z{EB&^WJ<v->>A>
z=c^n;q@d>SiatI!0z|pw?hQ8P1=Zu-DGBq^kl{9P>8}U@zBg}HZ<*$U=-$2iu2;yy
zmJF3uMfIAXCL23+v|j*f4i`09WXVI;>Xz>fnVJw=^wj&YkT9GOs|%F9s{p4=L(c6!
ztO>4UyW@Jkq7ZiK{$`;`CD_>Y&v-OY6HIo#WY>+0L%`6+xbbjR7;PUfcL~vi`_;5f
z-F{NQQ?>Q$3934{{B&bTBxu6cziW3}{E>z%;%Yu|X-!y{2nOEIHGvSSu~s)v7L?0*
zsvngQ;M}zl3z{kc^k018^NyAW55>ahf?Zmmb6&F5IfnqeB{vd1Vimw^O>X9#gEnaU
zSKo+sCc<jbL+?GymB5I%g4D5^43;-)o(3|t;Ed%ApMtC^)bd=d<nyP%9;zBw<yI0T
zZeG15_PQF>4ol6fy`l%as;@-<z0!ujf=Z7^_cWmWKe8^NPah7gYD`%lPll`Oi>t1X
z31D7Fu8Yg2gVZJMaM>IR7+!k9o%w(W<5wArp*4m;srz}3rA~v3#?BcT8%a<wTx@IB
z%Yc-|cGew1Iw%-eSB)%a!{r9A<Enp*pgAB=M7_!o9vo6E(JdoGwC|@JYAX|B=Nkp8
z3XMR!-+A3zUkV5Z#yS?I7=y|58y(tvW2h*uZm03<fphxH;FtU+@L#p8hK7zAys3&!
ze3D9o9rf*@&3YzqN>Y7SNTCJ%xbk%+eNrF3$w%nTPa4C{!TEy^t*sz&MORFTG#y5K
zwUo@<jp5<6Wm$DA3wnDW4T+qh!_u3Bw>LR5A#ON(=9wNFZkgEizHg#K*5TVq=h_%R
zG`typX|oL+Wu?i7{icK7UHivd1r1?;mQdaWH(LleW&Yj&6CK)WVozUgrNN%<g${i>
zc2KnS=-bPQbm;CKO@3{q3-$X;T8Yo?Af~o%EL)roZtaAFrjc53*1AGRQQaOSmAd^^
zUh6|tv1HAsICWULa{Bm)jXg9qT}iZDzPD&o$Cuoc6=39J)O^d(9^CqL=lIO2P_rpe
z;mu1i(6=w{Rr+fOLH$)+JBhlG;l&r&RW;8NS~ahlo@xh1fex_ik2VCmD^$H`ZDN_`
zNSbqG?LfRrM}c%l3(UNg?vob&a8B9f`KFz;g%z}mO0~NQz%H?Qcwd4G<$kCxRt?+0
zw@Ar*bfyMersoQLTP=VuC$o2ZY_x$E*}Uigk}7EM*ejU#i(sp`qRYf1Hmu(#BjBg3
z2w_79HY_kCP<fx+*PEJb*lVielDk0;6#s5(Ei;xv0ouN++tUF41_-Y`+aLubr}k>;
zJ}C?^Ezr{z0(cwBJN;5y6von&N;>SMaiMsG@>q-o2AB7Um)Y{eRyVb8p~1^_dmWX2
z1#9@ZL@yj}Ut$quZoOW;QyOm!*1u*NT0v^RVt%{%6w7+Z=+S@6bLJmPtiJDV2_=<l
z`ee0+SjGiq>u8G7*dajK?4Gy^R!iLp7PD++U3$Q0P}?tsRX6W3<lkBV(=}&C%%z;e
z5ELJ)sFFhcZb^r6Neh@hL45G|_;-$3__~Fx3@Mym=Tj`P!yFdK!C&wE8RSUbJDAQn
zE``Sm#l3D-nL$?vs&#XZbNV-V#kxgGA#F)yN<-BQW=bY+tUEu&IoN;P>DfssOe-Ha
zJ$}LzYM;9iC{JfO@qTv4%Wg`c+mqKWk0wmOJ1E$~Ep3r=O~6d@(03{HJpI#v5Mlyx
zm$6@8nj3#f9>2Flkw(3!FSLbzV^}n9Sht$PgQvry6$DbHaVM=CbV7_FZ0C~6yaykS
zB|NuN6PH09&e4?f6HMrzec)8r&yU?V%)i#=%iv4FR)XybCNz0BSrzORM7};(g?Lw4
z91YFZc2;JBgWrb<-U%U$t=cK}T1gHg6r7X4JT!tY<yJkDM@6u}XCO&xUJlQ*EsRt>
zjlh~3U#%q}hW-^Bmxlkzqk+v{-)($GV0dLvr>9sP3s|jQzois#v~^9vYy|@j|0NEZ
zdrD&CuA64rc8XXTw=lPD9|P>ueX_$-r0_z{^my_`B}^abF_JK3!0q#s-S?uUk!RI-
zsTH>hlF!%e%bPQV0L#Yl$U`zXR`lwxWRfcW?E8SVjfPOAFEze4Ru+FXo(WsUP{T)D
zmkM3)8baZ-Yfodc<nVBMNZx}fb<9`sa#Oo(2tQqd3Y}}@aq+W7xA1Qb+)+Algq~su
zj>oV3e!-`J2_|Q|s(xu={<$kA1!;!R@W3_xuA3sJJAWE0o+2Q>ZH8FcbwfzY8CT1H
zs)U;!JIg(i&_c<z148+)4WVW}Nd3Es3fkQG6<}dV!e?U>&F%jT!M=yGan);8G{2(C
zyX2*fm3X}EwKW6uNj_)QgVZo|eG-rQSshGj+|tu<nE^lN6w2?2Yha)59_`=H$oMaK
zpRbdU5xnHh+blAwfif1hIbVM3qT$%S%*YfYSoxaTzWIwL`uT2?36-Vd>Ef)kHF`|w
zP3u&ze?ve?J6&ZaRS!?@&+&5o!Gw<yLYHWjL`<3y7HZR@;ebw0PGOlb$m^aodU#t4
zlblxtGNknJGU52=`xz!cH`3cImr25A3lE3Hclx+l$Vg1|f+_gS>3rH3tBoJV<Tng%
zH9+!JPx89!W)MsJoe<%zgQ^1>^{FKWsJ}zbZ1$x&i1{3q*heO#^Q&6EB#r?lxPBas
zAGLs(dA>D4on*}V*Ict9$pF=7_cxglEumTQ=?Sl+x+tR)h6hCrP-975@$eQaSl1B#
z{_w0Wp0Ge2wzWRqt<Gi-9k+%fUgAGIw@^^~ZCf&(M8obCYmX0Su^_QOD9ZZ`1+PS|
z+(La#MMmSq-Y6G<jQ1OK8!u2WK$b7zh&BZu-lX~@z5t-m!uOgSprDwfQH$qhGG4B4
zYOf-)A!p*X_ih~urVYF}yWLwGr+KHS-^19@Gnh1U{hlsLCAJQQJ89tr-T7y35gX2@
z9B~bk)5S}R*ST6v2>3?0UnIAV4dSU!<B~R!arU~ihPsXh3QBcs-qOm3;0Ou6q60d}
z_gOh9$4wRA?{$${YGlK`nz<r!ls0bI?L8lQRS~y0t#Ui~kPR=opAEHyl2AOt{*F3b
z9(AJb+x$JthX1ZvH>9{~;UrNgtXWkCtxt5%jBH`U&7p1Er1Xi{V;`oX_(1}He2$#@
zA<Ks8>5t?JK?3Tm44$pf6~UW<AB+rY0diY*TzCDcfdT%+k@YMAEcTpzws;sop*~xH
zk*JQ!)!X)|3-O{^$F)c^0>JpkO*tAnR$}<I8IPhvT-ZhYm^gNx1;=zAxhuJ<pnQmJ
ztI5<nC)G56jM!lfF`|NB4{lS!@${AJ{Do&ZfyGufM6xyfaAr1dKC6H$>YBD}=Ksg}
ztyQd=7H$R6n!^z_-{g@$-6?*tc8YV%G7yTYEg@C8QG0NM9O}((DQYsG;#{k_xZOqE
z63i#}h^`ov!Gx;G2X+=yoH(5~rIhWfV4cLSV*)p%@mTKFZ1RIC&f@JG{>2Y0z*%3f
zb~;`PhZ44rmt2_UWUfl7R+X>-+Gz9R3}H!(UiGAS{o8*W#f0M}cSFpft1<VNy`wlv
z#lLV&x0~fiG{iAu8q6T;Mr_2`J5jW(xNq`jVUBZ-x_<PEkr}+75quGtu&k?fRQ>h8
z7dY>8pHE2Tm_p#$Z)^5M3*+mPVP8l1xRBgLiu@sF3WQ_Sv95d}bUNg5Iz*Qn@rz-i
zT&xN3`#&zKnG?hnIUmla`tjiIeGf%Srj21=8<&uGydWycdyPq#@nZdxeABW6#-JxY
zSWhq&#Er5mG}p-RqwLDN?bKynDAGMU2IK@$@)uo4DNz6~3MV+}M=~L_jdY<wSrBXA
zAFJ(A6hgiBH$m@snDE7Yf03PoAeIdLEI)w4cxXj^h-R7*RBD;WD`X0yr3X!MFisT9
zDT+KBw2Z)y@1Jmhq!3nL%=LZfCyoO*B3$C1GT_jjv|YKkgzyfvYjvuhB+4ESH5m0^
zK-9%ub16Z>nB_$dEq@_}Q6utKKF=G1VcFtd`?Vry=hE9k?w7`zkSv?{8_Pb|PSsw^
zMHE$6@V#`@ki`~hpKY$24FMA3Gd@O&VYYSmj(7Xy@ZuopNr|u_*qt^MwXPG#j}Zg6
zy;|ilug!-?u7(bcFY7)evL$ijY0AsutqRzgNw-v4_Jx&&Z8}L|QYdvMRn~V>5kopk
zPwaK0L&@N)i_9(3D55PB!d0q_8XXROEmS(xbl<#~;Ua?*to)t*r&RIQZ95wyQ93Zz
zyH}j^mBpg_+BCfwHKat&+p7&3K!;b}*`)+IY}Ec7{BoTJMvLjk6WR>G<iwrnC$;ie
zm7d9UDNqwLPdM~QbQ!<~qte&$L<Ky5;J|aY^91xd*p$@ELkA1TpbaA#ig-DK+sU(m
zh?!H()ppu+xNybugu9k9%2~$<?p;Ab!ZwH8F0W-j-ICe&rd|cj)?QI557EXjOc6-C
zL5D>75c{^XD={d$+~8214*r^vEnx8*f`DJ<d}^RNE*3CA)<73ei9DjT9bM+~%EqMp
zVhyZ3^Gl`XA_Ym2r4I}xmid0RW`*%xO`HsRw;^ScinX5t){j;(poekH*|d^?A2z%6
zu2@IIc}wdTJ|~PI-1^h5HFZQ}PFQ{`J)@5x*#6l(gb9+C!Y_R~wD8%JGlRaj4e-0+
z>Zfu0jA8h3IRC>j5?;#pu{gJZj#_1Hqh_fluw+n}*RrIIE_GM#$=#!4+0!-qiS?#X
zlA^A0hL?=`DuIt1N9kA*A6s`t)f@)a_5a|XCgX#s&sJ(8h8P;@|1{+I^1mOmFc)so
zMQ`c6BZPl+-1yOR>zm)J!2h}%NqKosSzXWbwvXtjKk3lF$J+{|^L3kA=~S$iZCO)n
zPsfGI&YS;USwl{wa*BHa6>ph_z4dZ1KpEFclAZ*>pn*AG;vf};J)8oii)gsxuzaUw
z3BU+7mz+IM#ZI24=68>%xGCjD1(z8c>bKtUaQR9_pU&+T?323aZ@X|d?hYFYa(ma4
zPg2qK+MqxjK?l8mrRKB<+d$5ik&Wl(C|GIgcRv5R7Dh`%x7w|@0kbg${U>Y+$_z9Z
zYpo<;z`>QQefw=-%D-Fkn71yz${rbOvr|XED_t{s$84aF_@;5#m5je=r9NW`$|xK6
z@S}g24QPz)|0AfYgDUKd^@Ex#aG~p*@Ea!^@O~&?WHCrW=#?B#Aj;s6=?Z$Rq7A%X
zx_*K?OA9R`o{`3k#L@D`+hZdi*^v1}CjX2L5sM}+HN05XA=5&$xgGIrD9h*Hx_eL)
z>#mn4i41U~(<Il$-@0sQu)C6d;GzbGW}ncqT|LJMi&D0?tpkv^iJ%kH)G%sPWar0S
z6P%L&76eNJ0TvaV51f=$MLC5&e<jTk4hI@`if{ug+?EP4f2f26_L)<!6#F=(M+N_!
zGiE`V%f^$Bk11db^Vfp_pDxZhv6|8OUDgn>$-itmR32p)R}~~uzHrKiEFwm7t>9Z9
z$>r)vS&VylnRvUsg_9+k%8L4G35Rx4Q;gn9V}U^HdjXS=oR56=;#-t0VOP*na4=H}
z5BxqvBUXLn81Ihx^UG%y+$_pz3pp>2Z#Hpv1WteAOx$gbJ8;tiUQVZ<A&ZD&{ABRS
z;M6aiM8ggto(Xg4^h@bry%WL+n#$NUvkp!t5?`gQHiy0+BcCE#1aR0v*Kp^TZjOU#
z9#JyK47j*{x^Gb9$C^Flz@+{j&Lr)-`?gtAIG+rOwl{cjZT)oD8|DD#aq_pH+r3Od
zTA=q?i$4!y)b@?q4~96JjJn%@(FE@2kD63$<;K$|j|Fi1{NYIKite4Im_S%4N%Hei
zF6`XQwx^_zaT<plws>S3gG4ny{?1zBFhlG_Wt0DMru_t`CPj^*_0qO;9x02QU6zuS
z@fnjG=2DRFlQ<?6q|HUPH!N^YD9tH;Dxc=OD>%S)dBF&1XM4pJH!pB<C#THqdS*Dx
zqI&a~qejs8PC)sX>H<f56VtJgHqS|jiA(ZdVn7UyL^mcbaQGCHsmd1?Id#9K(f$+z
zNXauix&aFu&Z*{ly|Y{>v40IiQ<?!vOj5{9=K_aO@l1-)&5ho-U()8T8A6b=_x+jW
zy!PQ^#3=82UOa@ZVc!{skg)OXP2H#^PR^q{g8A?GP;Z;+ht^s;WJmXWS8(J)I_tmB
zJi7$&bX|rFcK{s{{tCX+o#MidfG>JGi9#r*UeI%xj}8^7o(WH%aAN`n+L|m0<4)p6
zi?<sLAYxIcEjgP9{VHW7w7JAkO~lrFG*2I%mF0TgxXO#uq~Nu(6baOL`QMA)c^c@~
z&X;Yh;=_Ar<&g+dI5#l!(#DSlX3zXfssH$K|HY{7RVSozN7_H@m(6;hax*VTWUC+s
zu6!H+`KJsHl6f`Ox#)qwUH1l&Z$cPAKFu`nl|$c8iO>4msIbd<H0Sgw5e(1u*hrX{
z$8P5372RP}NO9gnTHz^%vIi}>WU3T!-bs4yks=j5$0)2=4+%_s_Wrc{RVD0u;i156
zrohCJYdjscQkZ_*$;j}A3Pv!Z-iBVI0CPLH;^+ZsJe!tSbL;a;d~u{I=3^WMCjIWL
zNUWB@rs72&OC=4AukT-NeVhUwWyP*mBst7=`D^pbTN4Lvw|*GAM1i}vjrS$qlE<Yp
zQA2qT30O*(ow?PtJm+-C<M)mVIPMU5URPTS&8GR*U87Nfv`JB1Pf7``wwJxjzfHo+
zQ{#!J?^D57XaCXN6Uw+U!<w_zMhCB!#U4rt(t{}{gS6%uRqWFAxO3_k8U37YDBHTw
zKznuG#U*uhe5EN;p>U0YYVXR!Bf|8-LQj*^Qm%o$Rp}{yo_hHGdx^$UlL3rgt~zDZ
zqltZjHBo(X`Y6mhIc)ZX4jUAue=rF|+<Rc|s`P6E^!in?>0`MeT;nafs<K-PD{TTc
zrj*jrR%>yq{09c`91D8IcuYdB-}K6pyAAPHzXtpD3MQPSDc`#%sDr_?O{L+Y4E!bQ
zpv{gqhOwiD$;BJV7`0!*>FOB<YJ9KEl9n@tgS>&((&u&2=?}wk{wo7*FTPMY@yZOi
z55x#GJfmQalcZYb3<J$ci#EQ=7O<;ekMH6;DxSKN`K)xgKURs7`QG0WyyoO4JRa&H
z`%Yb9M>GTDY_g_KTU$dfJF222jE0H=T9;~C4N*Jhw!DD=z^1I*<xziW*dz9JchEAI
zcYKmNliCSz&PlWBwy8dnlxJ--(+%*loB{S<X9G7AE>X<%F>Jkl`%I@E1_cz#A9l2X
zhqL>4g^$xv)5`D4+csVN=G0@;|8cn<%b(B^NW&W~_vmM{wQ=y9`G?mgwqSf@`f<W#
zJv{fw<_^b+h<@C(&^HHc;mBBG*#2ZHre}@&jS6buV6<fP%OqRKNz{wD?nFV8CCLV#
z_e!`~EAZ8x|7-zTQy;$gK}JuJ)8s%NIaK`Sr_i<47Rsl>^&H)o^ZZA7wWM@$Y@_wk
z#T9H}KIN}tPX!6XZ;^Drhx4IR@&_T4=QhxLrEvDCkQQcHnZ}lEoZ)0To&9>y+XmV-
z&J?S85Ku9pNHVo{fOEb6$K~K*HZ<L@R97n1z{iKu=U(e@I1A$w!#qdWaNYTB&3%Fz
z3cNEZMeZ-G7|p<+2bTa8sl)m9A}ZJ>bg%g4!~jb&cJn>PDS%(<lJD=SD&ocWGK3F&
zW31q98*>Df{mC_DR{@9Z@+jz9J~5y(!MeX;yQ4du1>vLHNt91AsB0Y+Sgt+Aa@;5K
ztYw`w)E@KDE<G-VR6c|LXsc<~kIAw2;7}_Fm*<Mx`AiH87YSP@a;I5*fq`O?>6Re%
zv^=$`TL`@!?(dh3nPw$P$57;IRzcp$?T5XB`SG67;Yz>RDV7HJl8*GE1(>Wk>lnYD
z2m7C-CA?)$v33(hJ4sd+P?Yw4^_1`ur_sVdnzVY7rABODGaY9RXZRI$c~oaPa=J%!
zjBO@Z@jWF`T8(D#LE~!FYR)7lvgvoSyV+kBWjwmrNz)7-*kpbg>>cB{DQf+7V2-ms
zibuFBMw){C_DhT}e8Zfepc@8ntjAd40#m+*pG_cpX=w3<WIsopFOFicZIq?mvF)pq
znF)NV3lk!@baV1vMJV;s{;+}s9F{28jN#kw^v^Me+Bu7ld^%;?hFNjJ!}-Y~#_-wA
zHucZ;X3mBMg+rOuzggrR(h=+^CdlNO$d5<YaOQHw*(ZJuv7#rs2#O;{@cNQoSV+Zv
zjx<k~XNAKME6ztLZXm!2nw-_n4qBdK-Ln%eTR-%R6}COQA-S6YT|*%|y2l@~>Ib)G
zPB#2v9ori_*XPTC2`9^VudG)riP_D1Mt^>>*2?zifBtC*1@8Q2=O^E>EC!m?lbnZG
z$Ng;WVfQlc7`fh0J)2pUm)h$e3=Od$+Vz;&1RZY0_@F-5XI4eS?<18pzgh39Czx9Q
z(P7Bya((R4FD&AcO0PuMFe{n$<w>|S9g<J)aZl;|#>yxwy;frOhqcqOBCKw$0SJ$N
z=AKsRVof!>zn9oG%JLeSHve=;AFTc`zGT#PvqIBI=??B=EVY6_&;DC9=(=P!&42tS
zD`K=zV_)z%>uyo2X5SAzcvs+|?QYY{TH9K?<eKxB71A9)T&1Z8=Kl>I-L2HmO1J=X
z8gmn@X#aIdn*ym&y?0k9zsMl#Mk06U;s2&sF1CBC^UEl3@5!x@-%3NQ&W^t69n62M
zY5k$WTrLVwqC}P^oQGN5nZ+Fe3bU+j?}hpt-E^Tv%ScS4^bgB1N^dejf1V|?KT+t;
zJu-CoOGdeAjIoaF3-|SmS!6}Xy$NoTA%m>W(=!Su$65M6Y(*ANa=}VxYDiP04rn!u
zy1NQbu=F+*pUfEHhSVlTesiBTM0q+)VA&*#<;M`A9OVW6OKtL^p4!lJmAgCi_%y5P
z;{7;#20t)GyZAXDNg&h{e7iJqhIObvWu`?=5d7s#S!*_v;EhU4f=$63Yrr{RnoJgk
zYo@}QO5e1=qV(^y1K%R+*sUw}b77*ebD}H!d59L+9<>uMcHx4!=zr(JC&b~A1Di3y
zs|7YOA2;DMZg{y<N<qe33Jw%g<5O-BA^XSlLYWIM*g2#m3wKLHcuCUVYpz7tmR#r~
zEzG~{gXaCWoRx)NTW{JO6edE;hl`n<VFB1HFel=<Lmsqc6-IL26ToD;?`{vbFcc}R
zS<Kz301er(XN0a3KxTUd*Wb0Gu*NSqxi&)yIz<}RE+!DbJN|80UY$5RX_Mv)UsM4G
zT_wRbo&dHIW}m|Bq(EL`W8;b(H8>sm!;X|rfO-?rvHn-m@Vu(YHvFjuxc6LSo_j$6
z#-B$6j=N-`U_vhA=^6rzdxXboN)h45w2VBBDG&9!f7RYj5aHpLB947L5jy&&QpR-@
zAeI^xU56xioMrMH2wL#!%6G2ktCb)!%Bo+aL<eM^FGN{QEZ^B(w0`w@6*&3mR%YS@
zT^Nv&uU*fr4ZG`Cl4C{HfGfthD(f>9Y6F$7tly{u>l1e>8+&Mg3DIiWS4<x~82j3*
zM#<p$>byns3r&#b{cxvnIp-(7(Utb>qkyvW$tW&15uQ^&y?nRY5aN1gT(T@_kdial
z&GSJEn2kd@-?lNJCV^Y)&71+$*#~d9zgHW$8kz+pmvto1(C+%!MMH@4)40QyBZKJ$
z;+jiNOi*3(Tl%WM5meW&WG+?eLZ-M0sdrhw>R$5R*&JdF_ZO4AZQZEQ#D6W)I>i{O
zl1-fEuA4$<i}ACl?|Lv_xsB`9TVu%QI`U4L-vZ(~#|Oh~^x^UA+Nz%=#;|Vgc2h*G
zC4_Vxxb@?Z0mxPdIcU(0p~E?5N{yEVxg|^M^iAkcVjH(-%#jIyM_lB|PXNyACa2v=
zq{E6QIchujj9~EC-khW^Hl(J1vU0dj2d7Avn19<0VH?kewLZNzkg}_GSh$1^g^8OM
z*<bYG=*Mm5)z!9ejTO;ga)1u)8-G5&d5QwlzX}Oi{&w)QR@3@~Fdbf%_q0XMkl+kw
z!}auLJMfIz*+%ct2UW5Dnw&sQxP9yKnP4G%nD_nAdDx!@%2clW9ScgZe&Ow_i^BF`
zmzz6$Gmi>myt;W!&C+mq*QE>T-|Qgb)nmH@#k$b?@Vn<@QGTea6<2+J#tuGzKggh*
z*MY+Ug)+kJqb#4L9&>eNJIK3JKsp&ff^Pvk#Pj4oa8hV&v(OA%a4DZ9zA_?$6eIh#
zS>Pl`)A5>bpnxs#xXz3z32VZ?FoCwOq1>4CRi`?1Ilp&GIjhuntc17Lq4i0p1@MXJ
zg~FX**dU_+>&BLEO5n@ers&2N!BW!qr8+w{D4G;Rhsm!1+KSlO>NYX_9{>RV{|uLR
zIM#0z#_jQ%*?W)Ie1|>1$7>W>kt9-tq7*`A(lR4aAx%nBwsyWx*`=SEtgMVEdu#al
z_rA_`u5+F1dG7ms0uLrp7ODUy&q~C%UF8Gs<z~^;L~cY&(aoW#0X!?&lU<X~4M%E@
zX9Zp2L5W^H6F!a@yzzc^{8a@TbhrH_as1^$Imd6T>h3p%)EbNW+1-r5+OB$YjKGVm
zWxO9<3^W1r{GaQ4I{#qZ15Rpt=Xj8HZ_WGcbYrj@%yi{qTgIHpv$EFtJgENpjU#FA
zj3CQq((t?053I2>PK(ou2gQfmYlN&CLRkZ*)oIa%-Q;3_b$gN<^>3Vubu}=AAk3>3
zGpfS72CB`yvbd3E!1RdEB?I`x>)Mz0z8?=-Y|w9Y;YL35FM|7e^?^ZTbCjL`2VQ1G
zD&*GUMyn!DiUPX&aQC=$?)rmy{QCvlx-%4RL=e9JJSj&H+~s>`Z?!Jt$xdTablZIt
zR?Ou-GwQ+k_xC+Y_t)`g=H`pp_qfsDV=ak^p}G(j@^w*y_y>>ONjZB`hyYGNvA+lX
z7j*Jh^iLhwb0{~x<@6SQyUOt*=_L=6{@NoPeM|=wg2q?Xtm#ox+ki^0IWOXU&D3}N
zr#2+`3DtWyF(Ar+EdkCScoCmC<1>p;Z3r@<r6!v&A#QF5+t&R%P`t>FHV#H@XixXM
zp;p3--ei~0<+Adj<Ey-1x^HTM$9rq~BhsvBLnc(hwv`Y4s^hr*k*WoQK?iu|uCpOx
zz_TZp%J@-`5%HaP7Zogg$s>kB1mxx9V!2T)fd1ITTJXeBLBXU!*}s4TtuhbY_4^=*
z*gWF<eydX9^ojTr2Q9de4(XRf_OcKPe)>y&_Xq`A<gBjMZg8XJi3bfH<|2r9koX|_
zE(K(KPUR4Mc#$gGK99IkQ6#9ek0$3wfw3=kM)qzyP*fXH^0k3DvaMvO`=vtxF<<(>
z2A+H<hDQ1JXjB48$R2!<&qDzt<uCbWq5P<xY%}oWi4;nga}`lvCd1f}e94<U0W^Br
z@cZm88FW6!<iDgbGPv^D+V%Gcq74<X`zyO;(atc^%FqZIj;%)57ODuN2rE}uJ1B=7
zE40FbXULG+^WpP+x(KRNyY)i;tUMCdJNx1;8wHZ-U({oqV(299h-()spu1Pjo|)99
zfP)B4tNxBSS|g5t(|1J_@0UH+cbWqKgxB(EJ0+3z4O;B7yfU(4M3_h;1tK*V+UA+0
zQN{bqn)Uufv?E%IU`(dMGCzq*IWB|3_oP(Bm#LtEDQfrUGAejnej`=kA&V~TIbc1q
zsEQ8Ww3$+}(So4%MdOn$awsE`HS2<^I(mF;km&SR3+gy-TDv&Qql~zaC%+st&~-f4
zYy6`&q&^R7u6I^Iy%qO_uOHAvJgt5MT@^Zz-yNZU!C4VShy0BbFe4#m^21p3DqS#7
z&8V%gS3=oC>eRpu5*m-QF>?N_2bssLY(_vCMGV!4*BFygdE#cw?@fJRV=p-@s7ORA
z!B3wyyOYr@KUcypeM2aZl1!glAtDA3xl>s#WK?yAhaoZE2%691e|n#(pmiOc+g(az
zwBaD^wffl@=-3ywtahp*#((sOOm2}-sozq!r;sUJ#Duzkzg0zpw7O4`nVRUKwsokv
z69(kIEeCIc8nScwyxeJ^fl}s#^UfLr=$z3Y^r@+#?C>bZy6bA_`S@6Y(tCiI`4AsE
zX*ER7jdZwJp@Pbe{q>F1GJ{IXW1bVEsz^H5sLbz<GJ0jnQkQ+z4C*bD*fk<lQJo%x
zd7r-`I?1p~y47t4R*zp<F^#C8yU|PIx=Qj$S4gAcArlR1lE))BWL402um66>j>(`2
zM*F5|F&ccjCpRf<LPUw9zlwv7NurMEZajTkS9_V%J87tlo^$qTD_e@9vqf~4XPIeW
zMQ`r^Nk$2!vD`cV=(Hemn%{R&b<hk#dsuebt|%aOUa0{p10Q-iZF9|~&<xH5d8ZH5
z$fG(kEnt0t3*}u*9PB<~26lQ8xz{epA@>Te)P!m_#LM7&|AdekRHr;pSlK0uCK+^e
zvv)J0%M&Y<Tig3F#sq76_+^mc&vVz?i|CMd(vnT~QGl~j@H@9n64_SRHK?EejaOJ%
zb(j$V<fcXJbuz_K>g77C_J6Cm)^lcYqkR~3FYL%m4i!buZ7p3kA1vV>E{T#gH%y_a
ziS><1gfQy;9FzKU=K_wqMU;<zHGy+dQ4Zzz1W~cRc&R|f96qB_?8zi<0*SR#D%x}W
zNcX_YU<u|~ykDS5Q{2lK)Zdkgl6?431h9SdFPXuo!Xw1mpBRCb$8^}9Enc)B%}dg7
zoyEC|Ilg4A8-j&nIagR54>GtQZtdSbhhGhMyi{ak2qV`$LrivYp)x1kUHgB}<1O#L
z25a3nfI&|?Qkx40vi?Ih>2zMi3)Bvdn*Gs-*?E!C`~r6L-t>Gx>G%@f``I_I+g%@a
zne$g{k=fAQ&>haMg)8`}%k}|3aXrwYUU?_8#)5_^?tk88tl_>F6h*>`dN7Mu_qi@H
zqo?gH&k6T7@FO+MR>!aFLgw1J$1-xvD7UycdUxw@T;pNaVZ@>fu^p|ysOOka%H)N8
zB&mP+HAeztV2lpXv$Imt2~6m;Dc4IMD>`(7MqW6+str~qXQL8o7*Uz*Gk482dbCPz
z>V31FBU{!EV|6)<sJYC1=;kB?8a|(~dT31x@<<mNY;qZqcllLb?Y&G$!t?sW!)LW1
z@Wa19XSVzNZR@dL{lbi%JVb;Rb}bOj>uY3TW<q_=@1vAXv7+zZ?G4X!sL&pJu8<>;
z2?etY+PKQGqgBJg&&HZm*dIWQUs_>85$pS+JQoSb`MSN&`E5UJcjmQ-zsrnvXMWvh
zKgx+rxh3tZeJMb=+@k%-p9ML|Fa0~U!i~~0i%Hz<+x{QFvY_X}idb8_C+^(jMb|Xd
zG&{=4z)Nb<iuPth9UNUbCCxj~L3gwEy@$yVx)`B*?HW6prU=~q#K(`=4zp@(3Xmc8
zzV}mnf`Gy}3_~YF1<<Zu=kkzyB=}jNOP_F<6KN=<3vVt6q5@XqW2TBEz%S_De?-rX
za@R4}jTB+jCN;D6;FTuG89p53ZQ(&v<9eje7NW>So6$z$kS28BL6Hl?yr}Bs?n59Y
zj#}EhMlT6#!X3g|&C|sl$gcgR*)LH^WHq&H)iI_4)ca1ohb8z?vBF}Llz}uludvs_
zyIBJ+$K+~g9TGsY4#bxpH8SW$M_AAIMh$p;ZM@Owtsp8(ZkxTZD2qCW%Eb?T*MQem
zAOD1D3!?`oS>qb?<&k37ha3ZGO=#+ECq8QuLBa-QZQfTEkeg8tQ729l{F(H|eImus
z36F>D^J|KTvs>59pOpl>%>zPjtt61k*X$(iKxHJ|*dwp~mIP;VqI_(~QfU9Q{N~y(
zA}XSUNAvC>L;o$-^=L5}l)6<r))AtLuFZrs3=NXOSb($dsERD=Pngi&T317PkDpSi
zlPFLjEC1EcTn-5&*ZkCs&_FE08U4}DR3MM^TygP}M_Zd(@j;WCs5b*|D>Bgn1Ii=g
zed!9wEMUPyP>PIpFNK!UTWbS%8}t4*uN9F#Ty2-ECZqZ@)VDTaIzSiJw`b$K5)ugx
z&61~5kfwn|7vp<fIP-7kMm{qU$=obekx8Q<R2@1jqM{FcilR0#qAIA^cfCpU0|otO
zR6F?au>piV-)EUAqKYm~FAo<sQqWHl#s7=G5u`O7)423o6*bS@Je8h9LAH)nucz9K
zA!;I#>A%-%=)Q&*(=lxdawdpK$NHIqlt^)uwu3s_I6lFwb#pr(ck<q%o5i5YY}aq|
z3Uy>~u(>NMfrN6Ug-c#P1IW2ck@+~Njtc!+|A?N|KvYpy_s4t8Kz&R*e^<LYIzMp7
z;DoFiqBn|@dhyK+O1O`z*e0qY``aTWuPzbM<kR()6+0SC)ZQ=5Wl~4c#F%l14~l5l
ziA1Z3yEKqLrj|glRzr&$JRb|^<PaHuy7-`j210RFto-h(h&M6vwYQ=S`myP&*)u@{
z|KIxGr$7ZY(>_o*7R1m;7k%>8K^lb0{gl4SKt%Z?>G$211yStj@~gvdX<+}zdn@s=
z5~`zr(fKTJ2l^S-XrFkA22n-HDAq_30Si|FZ!ZBcD!_>}V;YpBLyRA5<q>V*R<p$%
zBciU4RnLr@fk(N#x{S3Pdi!rpLdD<@elXcq!{w40Y@ST;vF?yTY>k6!HjfwaKKgI&
zTasq*L^CCY{-YF%*fVAv#x#N76T8-Qrve}(hE&qRA%WULM0q{zyKwScjk~)gfK{2~
z8hfxP`eAU<tN&U7PRE`=c~OeNJEQsePyd9_vbtKUr*Iu+e6ggcsM{1Y`McB(yc9rA
z4|-?ay*n^{7q*|q^rqmLuWA=^mk)7sFi@s+zhXJHx8Ej{P2gGe{_vD4UQ~a>=#i#D
zFNRruN-**@hH`TEkmf8G(iab&q+{sC_I5SS7Th%g!cfBA*iQsxr)!X7%l{RNKG|PA
zI%Eizo*v_>e_2udWoCk1Zzq<1+gD>+(GV!j!9JO1nbGQB$-iy;Td~idUcbo>HrT#z
z4;;T{!-z_%{OVpks>i~_IQP|j(1+V=6<zP$=}}|a^B{Ji=a`Kyp+-SeAAULsOzd;p
z!q0^t&z5Fz#+Nhmc4dX?!Ln_;($J|tc+P9t=oXI`_?q~!FWp_b&>^+hT06gipZiem
zQ0Lu<TND%GUK!{DUs`UbamN}SepTjtdS*L*(k3&ID_;kcx<V{T9IJRs2Ip6X@UM8w
zAuX}TygFdxwd9OtF5^uHejE_n_YH5DvNAbxUK`f9d8T{4m+;cWR~C<QNAL#vyfle*
zEl{1`n$kPHi1+lT^{Aze;c*FlA=SZJFi@RV;8C-HH-3wgw!1KipF81S$Tvp?t7jLd
zc(DasDYD+T@!~Yjbt-mEJctT@)4Z+y^YeH?Wz==88#8z)M<m_bWeU_K{1Mu0oyY40
z_9e}G&f~)~qin-56p*z)FtxXL9{-hcZSx@gBEEO(($6#7T(Da07aBoWz>k}51WP?%
z!fWrH77o8jhP{0wL&;tXc)MFk0y%yKA2UAuuvLW&R!M0S=HC`@x?eY9yZqMhxaM)@
zjk6@UG&sFyJZ2GZaPyB%JHCM{IS>Qp$}~ar>-TtVSi;X8rPEQ%`i)zBZSswq(g5N8
zXT-ylmvI|imZJ^hfAM>&IWL|OHGpM6cg9C+1-IWaOPZq6p+605B8ex}LHSfQw}I~}
z&Ztx$$ajSv<&eh<mENcUQ)-}IUd<XFnO{VXWnx5o0wznJajQY$r!lh<vkg2WkVEid
z9us1|`>w{pUllYi6PlP7HgSRQwBh&rS&)yMq^{#973kY<`0i=zAN-5Y$(_O`Z0J|$
zl>;m~D)5twFswfE4=0bLPL<jb&}uW?-{D6@aJ-j%tS*ZV71ig(vZQmOm~Z_(0kTAh
zkw~?C&`pp2HF7+jWadHgt2uQJ50#;Fk-AW+&xr2D#UFds&x^u6!n(b+l)=e}_z}Hh
zLO#=Jgw(x!D8KZ_y@xGI@NZeEpz9b5I+!8CXFbo4d_>BN9Yd6W?)!WXwmskMn=IN)
zxgctINpJg2Q3*W4?1rzK5>T%?gKSEkFk)uoS?8Tngn7^6H$_35$Yyp!&$v<)=?NZJ
zAk-*=@3(o|gs<F4KXvUH$A&nP^fS0`U#JM|9?E)EZ+Ow<Jsr)SAStvm!)@8Wt&cn@
zAv&q@p?Eb#_v>jgXkHP8YS$_PmTFk|=@mbcV>Pbc+LA?E*6Xjr|0+V~S^W?=A&ANg
z!m~}U$fGOloC1FCO7Qg9gWFHch0)28WqVs)MYMnA`%>hn5{O9sOUBJa5f4|`DThrZ
zggLeLjb<xD#O{$3jYqe+S|^Ir`704!*|oLr(j_9)g3}}a=aNV@^rp!|vnr~#+IxGf
zR0ZOb7p<QQ$)H)yj}8kh>PQyPJhCFK2Ix1}TBWZnVt%Gt^sPq|y<{GjYx|}SEiTnU
z)eUl}foZ6=C76s(m<DheENDVufJ>RRo&x%>rkTVLL_tPX7FJPZWGJwUiTF~fh%THR
zLqncaw14oD(1HjRMs4n`dgv)5kAp9_vbD8PU(FGpxe6_?N!>8^ctb>JGSXyqTnm+p
zzVR@L)q#4qHOX>4RkV@r(bnjvjYuoP#P-vAP%Bc>U+_Q;5f`r#9zW4WJyKr6y6Fbc
zdPt;Ac0nEaG=J#eex!}q1Ns(K>x^LBc!!O&uqL98#k3bXXrucQeE07&nu5oVnC6{q
zBy{HS*_68bS}5*7;o*EqfK%7PiaTGDkW!_$-qTxD6#8EekF%N?nD1hFOXDG<=8){)
zF*FK#yf4!zNQMSw$!B!BM99eDq&#OSjf9NTFU@-{(V#%$^{1&B65`px+3A|0hH5KM
z_Iu@-!{e-2;|V7c$~#o_+ABvHIhjakhX`4~bsd#|_CA{Es(HCV%4K=<aZJ_e#UTqw
z*B#z@M@0j1yH8GKvq&Rnub{5Wkrv?kXkX*eXKE<Rx}zo8Ul@^OY@3&kS^&X`A=T%P
z3YrtukVmI@(UbdDR$LSd7@=9tdMgkSrXDCa6vu@AGM%`)*>4U{3)R-lw3Lv)@w<1q
zFP3nVU>=YQGKWi!1DAz#6%cukUevG=j&}%B(xR7X!0Gvhl%g+(4u}K^xs3h5PHy_J
zi=U!_GU|G9)<Om`#n8D;)vjTL-$O3zV`gAn@-+W>tpsY%dc(O!q62Ev%8T!AW<a?K
z-*q%Zk>j36#OwPQ!GE*FGOrEbF8!Y5?$3gV)A2RpNn!>Q+1-BYHUKq|pM0C2@FB~!
z3i;?Y7La{;RZ}$!19WFbk9dU#d3lBH;rh%997F~~w%ev)@U5>;(VT!(m_O=zlGxxs
zV%YAfG81r?X8%4O%8Z=aD(UP^+2B>k;Ns&}V+i%L_A-^EM-~}A1ZM#@coOB!+_`Q9
zuA=8+A_6w?Zx%r{bd9XQ<9c$mNzDi<bc`Ki{Fm^{Y?x8uQC2wZdEKJ_s3Cmi%Ui13
zJ&iXoWy-EGvVyyyx2*e91GrrDGC50U5I>=o6mt6!3*461n#^C<2f6Ti<*dLu+;cpD
z-0sQ(UzQ{ZvbOrrBzDx$uc8KPs@>9TlVpL0mFi=TkMzKI;_RVEufAeCJviUl{AC8}
zcxl-O7Cp%DV_8`f`Hm(14&=r+m?6W!Fh?v<7m}FG`cjIfuw#oYQ}u!@pssi+fumOk
zjuf%**cQ)WN=I+(b8=>ZIj;S5`)zb!tiO#vC~pzto0w&vsAPc$lBX2gkT%qCQdPoq
zRxnywt<GD0Rv4V;@^LiQ-mXt~<$Jn@)v=t@`ZdZ5qq~j#(OWH;Sqki_C2V2}tlfJr
zRkFdsYFl4Enif<&Wm7bA|AUb}EH4)nv%{~StPf}{RCpqP^GW!lf7oPWP<28J0gAXC
zj=Q>3AxAoaJ1~k4Lf@AZ+z{r3AGu7{UUL-4-+RVUzK|X|ChiOcrE$UQ_g#t6i4>UJ
zn=35(jREdk1q&`xd7w|)PWZDD1$O@P>l>72f`p($0=F*kg4@g2kCQ%<A^Zu)`>_ya
zh@7kV*K&CW6#R76S~^XJ{Si%_7kXLXmd8wyM*$z`dn&whmnVbzi>?`FS2mz(A1JH(
z#t&3mVLFEj612{$n>?Lm2OnXq#Z_AnG;Ytg+)*RJxg;5`s(cOzsK2|?TO<S-9H-tl
zR%*hoq`oA#NG|wITC42FM1W!1Sw_ZI6ByHW3iX8WfNmuF@9%4(5Y5OQXSk{Xm3JC?
zE1P-2i4i`W>lBAqaqJp1l^Sq}Yw?8m+zwbYH8}XMQxZbaw=TB?4ItP#ZjsdZLHtue
z*pW?X0IJ*aa)<`dzO2ujh!cQ&cFUFd^0FXp!h16{QUeBiVk*fqg78qx+1=@&9O&w2
zM%mrbfIs8srAoqtw|y(|SzD1j6x??Ytl#EY3KEv+6%~ci&BA|*Y>HrLeb|1)Q4>r@
z7f#ssi9z=ng}z7OO5kbNcztX_6X+TbmFm2ZfEQsBkxh%ra9d|zgKIGfDtGzpmn@Tl
zB&E%Txd;{L<vzV9Y@0V7tln7v@REVd>Vx4JlNz|%%{j<Vk-@O^bqjxlEOdnazTumu
z4pwi(HYe^-pj*><b1GX7o)0hG4CT>;`Q`fp4??MMGS;_3@Pj<OFSNAy7)t^|X`*)N
zaV?<8^?!+)SAc~cwq*9BWGHLl(7kg}8!}VQmdna0K}2H6!`B;RFd!XDnXJ(PBmV1i
zs<zvCTe&M?{S*bFB!73@643)TFPEOSlSE+pmnM1c0|jEo_B;_u(}#0DbsJIfDlj5%
zeb{800&4;8R;{9jaIq<|?MI9%e2WfP9~h>9`shan^(rHH?s3I0+)WK`Z$Hh`_bG59
ztTn2{*#ycSW{yPhsDqY6w6L-Y1#->?MVQW*LWKQ|Pj7FkL+VQ#jrucWpeI?&dKm(w
zyL50a{Zt2LzT_R2G9<{0c^thq3-CmmN70g119+s~$9m7J!>o$b%$+ndNMG6;^Lj!Z
zirBwcg$Ap_k4}b$5CIy{XZU_fOi~AO!06nWSIS_Pu_@ORLxakP6GWW_HRz=mYhWEw
zfKEk?*Y))@xcED!K3-N0q9T}<&FSUf$HR!Gfms>|uAw8UGO8dIw8tRrh!o`ToauGk
zpn<!Fp?c&p5sduz225~?g8v1=%ZHOR_+}i|{^5}_WKU~exFIV5VpTpr_q?NlvBKYf
zeV7t7{Apu;;m-pWH#j+6&(eVX_=ERXn-oA*eB;^G$E+asp4K;{xy`v!k)5X2@^J1V
z`;i;0^iX=I=jvRC8T?acYYcCeg~!6$Z7lR_*nv?=JL1W0{e!4Zvx5u-4lfw!5q@DB
z&4=}i7|r0+izF|nT1k*=8`~RF+K(~pQw^lQ0Wi_%d+{@iINbA3zu`Fa0?YUt{D7(q
z@M^?pBP>V+c=e8)DqE?=1^HV-VuCR^mJ#lVn1rCzVnW%3>kIB1+*ot!rYXF;Iw0xY
zzz>;$+CLP925>j|G=Zx3CJ>Qo|K-N>9kA=&MNPM!AzXBhElF#^7@j={n`wT+0}E=}
zbaipV_*_cSjUXjs*!fd!qsE*Qyw#KY-tY|LZgRf&^SzAV?zdv~58CWdwVE>dtm+#c
z#Z!E~<AEWp%eaihMY6y-ZtHapr9M3PiBt0ElmTd@=D00!GJ%`$sP#<47u-IV?bSnF
z1Bh~nk1Cy_2fdf6SEGB|@J~E8LSu>gV0h_yh$w*$bh69EIprGhTj~pcy@vJRu4w#2
zjrKp-$~^XL*6}5N%i;iW%vcXNCHv2LZEaw~oiK3Za~yt8_%sjojxNY=bPl>_tzm}m
zd|mqks<5foXDGr<x?mq~_ucyP3YKBpNBMA|9?L-IGmo6qf$_#Kw|HBYuuFf!js#QN
zFn1=gmY)OKFhBCZ%>CdZ7Szi*Wcc_CM(4TIl<1%hF_VHH?o$`AeM7DGO}zcsnJN0y
z!VOxW?3R68#d01~(md0atUrudE_UvW04=b!9KFpTHHQ)H9J2I(jAEb97p$h$P+`|V
zi0PW(EY@M8Rkn3&9CJOM$W8+)TwC5Wu<@V4GIDq7X}bNuZVnUgM%7cmM(J8(IPVPR
zv!;<!toRcX*<{jFu%|$l_FRG`^9**eE$j9$>n!Fi`su2A9~q*mR`<W8&0ywlu0Gs*
zVIE6SEWdNXpA6BtK0DUxX0V3Qu4j(~7O@IZ0YSZW5`@2?du5U|ixumquHbK$F!cq(
zt#)}5_}MZ(Zn-jt2{CJmRK%=cj|&E?>s&O!`9ak2nPc-<xLC8-C-*f>mbLgDW10r6
zM$zxAS6#q(vpV<QKDdEh{IN$Nu|*yBeq-A?&$)=@tCZ9+CH%%b_XOHG?NEmuz1@SJ
zyh~X1tp+o#Z+|h)?<evCJk&tdJh(VecNrW081Z?4N(W&kj_*gGsY0YQPu<wL6)a$)
zCeJ#P9zqui?7uRrf@Z#u{`$fyc8zV5Q<R?(n5?HC2K%VMmyfYU)~V|l<-qII`f4T^
zHng^xZYDxSv*)jAr%kN!*0|J;I2I@!Eq|J#ON24=jZ`n|KiE~OuNlW_HZY!;PN;sO
z419Su{KcpLVT6L|okBMVFyuBhF|4Evt<)bAGRNt*|Jif&^A{(O&NMC+6e~f}>D@ED
zZ|FfZjeYOk7#{c}T~YqlKnV<qJ}gJo8NuysVTps{4mi-!(#X}J2q!0ypy~%EI2pwt
z<yOK6-Inh!m4zunYQ5Y{;r4tKPtFTxJOtot?)lvtii%)UA9*kA7#mbLtpEB-6@qKe
zcSm0sQ-Es@cco6ABfx-GZ0$R35$LP`Az)gm0Qwc&<|Usvq4-<ef5E<D;F8kL7L}y{
z!rIoZSL}Hp#!CLWN|OY5I|^%WCM&@I00030{}h;aJk|df$L%d!_PEwv-0NO@eU5w6
zFd_+2sibA3%zTXqDOshVgperFkVN%)r$kmF6%k1yBO=*;e*d3y-jB!m<Gh~FcZz|k
zTLYg2{NizaJ?NzhrNKArc&=#z-LrRlX`&>&uKzlevtAtzu3U=^sndi(r;%tDNg9r3
z5KLsU2{586`tzNH7Casv7<e-&1NWu9O+Hv^!aYr9mSemYNZ6JLZ0cJN6P$APB}-cH
z$Yu2W3_%;No@{rGo|T6^evw4~PddOnZRmJrMjND53$EWbRst<XYw?375<I2oVd)%1
zFwFTqWL=;F{VOUL_I6SrHsZ`DGe;7{KRcS`ovjA0x;Nb%CUn6uD9=`Dgba86WEIGZ
z>cHCk?@1pY9kL`elsi6B;cBFhy1JhR+^D$mZ&gYk0wT^o3s$4S#Ln4co@1JD)$9Gz
zvMdAod=_qd4bj1E_MptwFm13cs2n=S$Ao&#SbN?;2F%?ZvK18|g7=|e^@2}K7&2Y2
z7OiUlwi~thtS^(`mA^UHmnZ{>nn-Itt7HTv-;2x^<tSh>oF%w0Y5)gV8+TqeHi5sr
z&u)1oP+?k&vwKq75N!Qj-dcy4!JbBm+ZOM1;fXzWgZ8)qxSzbw+gEP^z3XiYua4-!
zyw=wo9>29Y%%HD5${75{uYQQGr@^KVhZPc2nDC8tL7e>n;QRbsd5j(%93R^pKfRp+
z7g|2q)Z^B0{+iH$h7%nQa#ap_zM;boABC~ZauzJjI)2$<Lx=6Hr}e`}bV1|D$SM6W
zHay9gDX$WtLsgfS#`{4MEZyx2xhb{*qDb#AnQo;)dtA!kp;9gAdVE2U6tV$G%;%rR
z_4MFZ%R(dfF?BFb3Ju7(y#dUS!8gM?DvV5z)wq=_z$NW<V?RqaK#`1td#W-8XyZbs
zQlzBdzT>&|t+5+GlkA{J-njOjVm=1{3BXoK;gPdO8-OE3xVG6r2TCd|{z>S~V;%MP
zY=zs{P*bspy=G}a#j0XpPt*sDN#x6xa%IDdpljMH3=P=a>u8p9aR~3ARBp_A#{%8;
zSAx`Z)L~uM<Jn%vIh=QTYJC8U1@s_ZULjW%_;PDAx<%wf;$8bA)gD=cl6lPG&u0~&
z=?Oa->*Yb$#RXLbw5&lc#xHboS{9a!nmMhb_|eW&TGM{l0K%<W@9|uh0;)kBx@#$j
z;`W!RS4#t2wcGKfI!+v>T13X~Zxup}-0Ic?Bn)!m26#`n3q#zqQOAsKA>^dfA&(ha
zLD1`?79P5M@O_g2dmFDX+OO36W7^&lmQHXBrN?lBT}t<h=`kVX@%O{`b%7Re_>_-A
zZu$b&#78yfx+8>SUL`pU-Y|#W9oH*guKd9^b{^Vp;v|H0v5W2ZJI%npH|b4Iz%X{&
z)27Jew;*DC3$7@WHG?I+_R)gu&zQ}b6&3S~f~e~fp@Fd16x=VIx>dI4HkLeT&nmSM
zL~4q8<=ziW;2!bgp_8#~xSgis_ot$QC~=ym(<^8K3?*Hya|`{rn&JC1&65HsIojc!
z_z`0mtu7WT?jFWfk8asB@kapJs%uAFYBhqb++ijvoRj#wm(j=7*9#(^9g-C?W=61N
z!N%1$PvdXTrAplP5=8H3c)7OTH3YvS^*diV&EmUXBnFtZ3Zfk4i<-g&Ls(qW_IDx9
z;|8S*7#t8n%166Xi8%(axYB$>?aLzmdFl;eoFI(sMs8BlR1M&n{h6Dmf>-b#`)(^A
z5Eem{|7cMLMNIIQzGW01!-3+qe>vT%B8n6<Y?TxkOb`{%zA079iJBWR!+<^O&<Qi!
z%MPy?&?^ydc9oACIln35z1t*)y!nNThj%i-bmri!^)?>VyY<DSXoWbEXK8du%<6-x
zpZV8yMZ75Q&<(*i*CbGl@tp1Q6@7RhuvMs0fFE5vx7&Z^nk2e?eB5{f(}(0Dzhs#x
z0puDYcIW+LDWuil;b<~JhiUVs)f0R|=tZZ!`SCGnl*c#n!n%MC`#rv;*%k|<zKYYk
z)j$^2Wbq$K@S?+L`5}QxA5j#4UD}KKa6NjMHS2##gAVZyw$-;-Vu-KUV*VRj9$9d`
zoHFmHL4^&+uGTzpG-110K4w+{QR5l$ZOJs);8H&~_fP`KDHQHiYf?h&8o6CHb~Fg1
z2sUl+l0@BCoa0JrRgm}N%sLqY4HVo}xEy4pQQbYhx{d%f)cAhN$VP$&PE5;c<HItj
zQX!vLHdP&keWtXnD$*b@`s`!qkVX4K|EjdTAfRKZ8f{x`XkemP72@S4hmud3-q^&U
ziGCV{wxp!f!0*lkjr~_1Jz<f8ncK9G=bg%oha7b9dfTL8eoqmN&)u84Qm&2O^nP#o
z>OhC2h3roG7-e*gwy!5gj)=Y<or~yvK!+yb6CqMZRna-$JJ$Y5B$PkbY<o*jA9lO5
z674G0kV&0G_WV2<$u%8)zU7TR$a9!;OV+9*jdZ)Pp@UTPtYgskTm%Cw11+DXek35x
zUB$tN>UGhW%l@)9dnWAKFvRURrGdl^$4;3@(og`oE_B+`0Dc+sUnPoZp(eVtv%3l%
z#hibYzTjX8DLO9$C{%4k)5G^g-Jqj~33h%x{~1B?pMpEtY#o$thd3|}eN=5<ByUk?
z48At?F)NNl<nhgrVFmh#nE&4>P1_W#{%s<V>`3U;!<&R)H+|&5`dh7-Wd;v}!WY8y
z$cU}I+W2U#{=?@xjJvWHV6DPiC^Ah(Ev7C4CUbP89;sLN?~)~i@m5D`U!b69>w;6d
zk#v;stWRS=1cS`U9U|v=si;C&OL*fo8sc-48*?-PFv^=x{k@5b#=c&W$n4QYId`89
zntlQJ7B^$yzk`YdXTzdK8YxICpmxRTs5LY>-MjFPLPewa8OaMFBt&`lXczmNHHiN=
zzTB}^M_#eqvU5@!g;XVJZ?|ND+RsC8%nc}LW6v$|1t(2pc`P;YQzQ#I<RwsrFBx4;
z**WEPPaOr9^#3f(WdX-_*NLo95{h?pX`5xLpoX*jGvA6>Ao5bbKhu+l-sb$OuXmD1
z-M(G_S~6MiPv;JqO3*>kZSK(1ERD2xo;-5Gj|E<)X;1CjwUGVyYko;J;wY5BAUo)@
zz;})k+8v~c`X*#dJ~#@Y!J^Wx)gfyzt5|-rZJh=(yEQ*>io$~qZmN+N&9H{juE*<Q
ziq+ArBomoFp%vW7lCr&+VGUgyO0^s}tD(v))eYBk|KjT3c&}b<1yFa=`Fiw+G8)q}
zePGf(j@O*1-%mXRklds7pS_zRs!DwIQ8np1E@tZ25WIxJbp7UGY)lTdb|p|gG<?GE
zRk=I4k}=5JUUns_SQd2-^OpXiHsYfv-GaqDtiX=KLn}*_M%l@VdYgY&;amf0C#6#?
zK~qg^lUAN25^2~$wck^SZ(vqs?|N+ka(ACtD))+`zXgPv)`rXYf>3OG42K0^WqPaq
zXV;+xuHI;PlaIG@+@ZEvo5Qo}!IkT!!l<~w_5AIqNB9tPV{AZ@8T_<*Yw}J-5bY=n
zXG_?;#Mjn;*5iXITu=V-kJ-bAjz0<}#@=nj?;kPaiP18Jkf*+H75jNmBk#PE^RsrG
z&l{qv|1$v@AI^m$Ep9YESV5xS{*3Q7n2P@K(HO8ddw3^rbE39N6;6feuedk4qWGhc
zF~p5$ZPVS)fu@AYoc&)7;NdezynL=3LB*4uhL>_z@Vt@pS3VPm@Z7Vz_WJS|0U?dp
zI{SGEzvMg{{kL!g|0;GRzwWpp6swz@OFO)X-@0)p?vvp-KHJcaT)rDX1h-5-anl0s
zbV8B5;y;P!8{be`b~k|37k&@72F&9mt>~KH_J44)%=w<8b|##ZoB87Wc@BTKaW~I<
z(;1u`+}C62#Ds7clS2DbbNG$hu3PpS&*CA*JMtgAXMiou+EHfz94^MadH3ArIsD@F
z+?{`28E~(0td<oqhr2|kcpW~mfHyFX{#xzRU*rBr5%o7~a{@OUoPV-}M@p3wn*H=4
z(5~d*UG_XK`d3EJQ)Lw&zxHq0eVGoLwcZv9Q}ej{9a^+gCkHBwtP#GGL5BzftAy#+
z1$^NB;+(2J7czUHKUYtpLs+oTi;rtL`}4TFXwofi<eL5|G;S>~_6iY7Zpkg<zF!>b
zZyWL=xvTiljwU_$shB^0IB^B9Pu&*XG02D3)k*cTrSzcuuxX2@6bG{BKOBCgQUG;c
z8~Sp^TNl<Bkf3{+18Fz)p06$wLRlB~I6Qnt1&2eb1U?=vlzY#>6W)s;?#)}|L{zC@
zFCo2jQimG}*Sx-blpuyK5RQB?OQrzN@98<Iqdds2;<V4M4skTI^TE(xP71WQ{j&Po
z!i%)`js7~JFNr*I{s<|>lR-sV{O_q9{K&{xTw>~;6f&gwyH`t+;mm4Bt_QauQsrS+
z9<Y-^0r!Ikq{>O~fNPhJ_ZrW=*gU`Ch{$^M{`UE+cRWZ?zmR_Sajyt6+wGHoeOe9?
zlReG0tS7<7rB06=aWRzFkn}H!TM;QRC3mj-Nre6DGXuA*-4|u*=Kjl8%4nvAU>@E~
zgySQZ{4xY3QGAX+>wA$Z+F>JUd%Ted#dkXvr-G%>P;cyji0WD{H3kLl8YF`FjRkwk
zsx(q-7TlH-M?gU*ypOA?kYKRwd0c;qETW2$jA$zwD0<xXH9eBF#^=8>VnXFm>4`!s
ztqd&`%x%?`!A*t+k3I_FpaRNxoS-ghrh`h=GCp@cC4+}sTkOG;N=Tn7cF=Q{h!TZ)
z{)yhAKzi0#yVZRa)Oz28PqUVca>oJ>-EE@6>x+j{zr?Gdrv-W5O;@NWG(2)@i-8_A
z4+O`5eyNTw?u|)%d`u5T3H2xK{y~E{UUH3{s0Q*byl%XrN=MDyc6xjM&_STwEhzDT
zCZcV1YExRFBhT+|bx$cW;FVmxd&?^=q-5SYS>33Q^tS8{_BzG{uJS(;hT1wP=p$Q@
z9K}F3{YeU~Yrf_E>Ye7f1R|PTI3d&^%tXU<i+_cgMiBNcN8i4ighpJo?g#lXQIAHE
z$|f%pFl~N+tWJ@F#4dh(X?}@`0x5lfZ8QVDMA43oKt;7XvS)3gm?)>JGDH%ySo5-)
z#8gXN<c`;~dz6_d-n1gl$HEH6esziL6x2f;POF5NAO?CLSkz{-9)S1D=TMnzddNq?
z)VU>EA7zqwl-XR?FkVonUiwoHC7(3x7q+3Jf|J+69)7fj*udbu*q9#jNYz$j=jo!N
zLRc6(&jNLWD9^WrdT8^rz?pteG8!s-71^)C2I}~rf24#Sk~?aZYW!6jNd$8fij&wN
zT)ME-VW^8vS07pEwADbe@?zON4Q%lID;2#>j*8sT-`h?}s_5{Qzmci^Y%taxJuvx_
zj5hF+Oo!U!Q2tl$=*f0Aup@GM4q1{=xlLubTdpLMU^$036tZDKQG1WuWgTSr?Q3ur
zNeH<Wsy=+<$p#s<+4P9dS}0q!Sq(eGf$ElNmj{+vFd(&~W?`Ksy3{6Q_vY0ke&AH^
zQb#%q@~6M^jIs$RaLh#Ad$<vIVdTtK$g_ah^{;$7W{uO-Sfm3-dNGf(u*jBdYrq+1
zp3a%dh~_Em^T_2lW;VCXaa!3Ld}o#4uX9pB1qnya1r7eilHyNU?9Tys8X6WOX1*R>
zm0dbV-?e}V1?tF}ssjx2*r%p@NF&GCmJj{=mNCyafwF;HF(A}VhJ-(mK<`&5DYn=u
zW?2__fwbQW($ZPQQL*cg*)j91X$1~gEKd`2iM9kA^M!wTVnWE~Sth2AaX{fycQdU5
z3#jPZm-|tW58ZiOJ|(Kj0inz@+oIddVMndRa_><tbmdHj?rQZa#<kHyT9nTm_Lh&k
zB)YHQ4}6POmHw?@ij9<9Z?+kfDSr^iOPRyd{Z{!bWmhn>?3Dq5BvYuyA+N<}8rS++
zm-K+Tj14HX9yr}$0!0VwaE*d-d@~dwOWP%E8+*RiOUnejokLUfPyfJ6J`NoC8L^0Q
zcNSY3L>a@wePnmp>>k`T)lTky{Q~yep5Hvb+X#5D;isE!yu&Tq@3|NmFJR<98{=Fp
zjezAunzP7%fLA_EoU&@2$1=Q5RS4WNgof&~yIj<sV1eMrBBjq`58WC2A|wpqX0~mX
z)b|#Q(^FH&DP|s9x4V5NB+dXhgAL@4Sbf6i&()(mZp>qpvYFzRe@w{J;MmpB`4wBA
z#oih<I*&az3`y}g&ICt=BjuIj0~m>zJMrM?0`|e4@?>#>0g`df2?8cVSk2Z@z5&HW
z440_Rx)jKOF5TvkPWKVaXGGmWm}3bO-~Kb@|Gri=b-b^C_ZXJp5Ei>jZW;3(dUSes
zj6Nt1cWCr&|Bc1Hl%2IdxPtY)zw*^rL?4EQW-dEwOkp!YLY?KKtC)%F)(GYeI#8OQ
zlxF4q!Q2}R`1f~mz)ZNwr*eHdxSZ$95z(2!60%cz)H*n!V5*>}_96{fJ?^XJHGeTz
z$%8K+PIAG^h}WLkYq<&eUy~1d|HDS)#<nffc;M0f1{RO79t;SbFIpwcW7X<%?fMsa
zVNafHhMKc3u+w+UZ(3czPUiOry;tG~{h+fpIyb3sujjR%{PGgU-+^+<-U$FLbL-gN
zISRzwI)fipU&Z{&imRu~grGO@W(CEa0$)}Qzu&3i0Pk-zqiQci;Q3S*VHJ^~_g8Gc
z!aOH9KXZD$j#CUW5*>pBnPfQJbXB0ug&Xdwy!DxVE)JLcY(5y@CxLpz#pRk-9@v(1
zkUv*m66)3qhZvcV!1Xk1_reiA5Rl$R8@VI}6UNyOqt@~+C(AaigCqd;Khk1%8_GaZ
zNq~!601*h@$EKf42tm(1v)kDVve3C@jMq_>2qr((e(ll{fi9B!Y3E@%h@%}5xBR99
zxd*oMMIBxTf*v#xO-@C)bfk5wbEOWvI1yx>cuXAf*9RJ0-lPoCx@QcuZtB3HxXr$2
z-bjEgRefRfxhmW{Hj#lB>HrV(?&1b>DKPl>wRDN04jG>NBT8TEfXB|ky2tONfgwL(
z8=Oag+L*6)yu3sR8a_7nAVC(al&+r*)6s-4S-Tw~j}pN{f$Gw|M-I;2V<d;wYr)xs
zQ+fLrh;ZV3KyBDA1u*{lRF*472Poa@Zbj83h}-Tkwk<{p9w{~EMcR>|GvVvr*AK{W
z$vE`NfAuQh={nr-fk*)n$=CJ8Lu>gvy>mhEni`A_-fbmH=z``;-<Z(7x^OeOG$8t$
zI-Kp`-Q&Nc2jY*Lb!pmbz7L1)vrRN0yr+~;G>{HPf4-E+=hES9ZoEXwbxr8=&yEOj
z(}&3K$wwML>VxQR9}Yi$ZQ$B<_o)w+0jjHB3)$vOXkIkWEDqIy5ly>0u|F7)NbUCY
zZ83o5*zeIr14PIe$RO<tXTptFRm($XjlfVLDb$Ni1`2uNnnd?n|GvSuqJAb|UHr`|
zDvbhJ6U3d}t4vVW@W_AWYX)jA7y7c-xNl$aV*%)A!a@E}LQIqev^#A)_!8FzQvRl6
zj9?~IUEL=3;(`^7x9hTIQ}p1T{iQ(5Dh3pMb~0r;0I<XPmF1La5T9T6DB+$y{4~qo
zAYg3`^$>RB{s9^+s#n!)_n<>+%#-j2MHV#nm_;}2p@CJOZ`bTaT~KYBvi0g@L4>#z
zGfiNPa}|~~*2|G0Gg-GQ?GPLGGKjI&`}JV;gmcVeA8pu`J#y|+D;vxz`+Sm*>w?yf
zT4S#Q0$h?Xo(vG&0F@sPEQVN6;pf;;ssE@l44s!ud?UXB2us7%|60h9n2J}1%*lf5
ze_Iw#b8i5~rVo-%bP{N|o~0S)h{JzjTYnRp*>LWTR#5P99iRptkS5OaLS~$3(#%OV
z1WZ27ce|klrnFU&&na`5s~y`UK#C3AC#8n+aSe#eJlgT6s2_9eV^!S9VL{=-(2K_d
z>R?dzX0|$}1NW->9Mi1Ef|Q%Qfv#d|;9SBGd3|jH-<!63d0UP(oc7o5CuAwX$G?2?
zp_~5Ul}btblNGFCO!m*=NK78WN8~1qiOaa~@AQ%JD*$a_e3cgRvT*8H&ENNh97x2b
z=!cFR06ChkRh}XRrN?-iZ8^A5rhcYgnh6Ho7jDyzhKWPJyUp-mGZ!k>V+_=8u>v!J
zmu&K~FeEg{eK4bPqr*q9nI1S`359OFNej{Z;1M_wxn#zT-U_$tha_3RTW<M2bc`E1
zRr~TaB)HLuALs2$ADhEPLbJ=A3#*v%@TS^bwOnX8gD81v)C?{+xG9YZ%ww@iC30u?
zaG~jKJY2U)|Nk%b<OyO-V-m$XDmMM$L_8aaV=l)`!F_4Fz?J1uOrK+4M8p|R#Qmi;
zL-v^od}QBp{8&AJ5e=^_AT3Tr3iHwq5Ho@AOyx1Rxeu66p&50koddNcx-I-VYz*hs
z<(PhwPqAYc1<l|h2Wm`+uqQVdL2*s|H-Y#XJY_4rit8u`im17^@R4c+0@b}weD1g7
zq4}~l@jE$?Q2K|=;>(6G7?w3ryt^0AKCbXR+?xaWD$P^&^BRID`fx7s{C7M)Y9Nqs
zmIECkl}Nu2Hvqj%mETGH!}vJPl^fo~ffA}cYMUmR5SUR|?`$xJuf_-5*+St&c>&g~
zbpJK34o`U1B{_*}*%EnnlyIWjBT5EC;|#!`InPJVPT}^KuaE8B$c5-?oeiH)Fkpz&
z@TgeJG%n028?xi(Mx3UnMi&?Lp<DFY+qoNm@yjZjbqe3OQJ8<%u`Oryp*F>`lo0q2
z=e7Se!~Km1X}?l@`BFh2q$Wzgt+SoSt902(;XHguP`Av&?>-&Q-~C`TuD^&+RCyes
zIPjwhLq?sOEgfQ6S9jmnUB*Kfe=o~E7eEq{wW`MNY4EO+RIkon#idKz568L+p@kZI
zuluqzaQt#pbD@R<ZRX<%UsV)AU;mEQ9rw|LcY})+zlJ%{nIe{6sQ5axPxIl9U(a>n
z@zyPutSH=QU4QA$6h(1lpDcIqmYOcCZsQXFn!tln9?9xdZIM78)n-J;R4TM`j5NMl
z<V6Q-OeSt-N+R`igFjFCsSvd@zMM0iAEhD^m-C7gI$nA0z+egmNCW)7uWbZT!d8it
zUr913^z+RK4gv*6UPaP&s0pJ{LgB+)qxFau(wg>P9T{Hk@@30wh@zFpw*>DB$|H@{
z1D^a5YaUnl<8A6TF%&(!e~%fDBGPWuXe+QL!>BGdXTc|NMEQ0i*qx}1Fh|QrB`RbX
zcx}l$sw#<o7QL}*4O2xYZ4PI4N|7Of$h+cmS_(zsz23|7YG`Y6$t7n^GUWU`8}^o4
z27P?>Wcb}y0=lojsrq_58JgFr<dx*hqOUDY=}y%esM%tO>`+98?#$dP-uvWG!)n^b
zZgVYE=F_t2q8bHQwm%MXS}P#aPuLxfc5Re$qNTFBo&twxm#@pRl#uy&wUJu{5xqUu
zZSKCtGrwGzC7B0Q(3h;qEV@1!sabw^ba|u;n`@hFnzpMUrTq^g+@~n$oxOWTH8%~?
z_ZE(1#H*uosd+NZk93i!Q`dK6dphtBBfZ&L0+K$$DRuG~4YeHc3qN444?q0Bw8V&L
zq8c@|j>PkH)b1CR9<z-B(|!5u+TB{H@=M*h;BETIy8TcFp2h_4Gb-Yi5490JHu!Pw
ziazoSI{!dq)&Lq4%I@3n5K;QR4`Hli1`_8#nVA-61V1Bd^tc>I$Zxt>Lt%n}E_teE
zu=GtJRoH*>zj!iYjV02S*ZlFy_4^O6ESiFk%07+un-rw*x<Dgel8I>FW72Iuo5OHW
zz*72kD*AEchuOJ02I~Lut39;F5_U&1pXeRdMFQ`S&Cf6xNIN=JP~Zv%{)gXuC|=P;
zR+|&59((8`FD~o4x_baq%G<*X-1N}pN1wS~038JjIFFP@T7zwcL;kq09(sNw=<?xi
zU6i!%Ip-ps1rk2f-~3GVP^U9>Bgbbl>g0|zd-9qEXS9C!Q*d3RZ1ZCB<`o^3ZSl(m
zG1;)QoFQGfN<}5g$sGx%n&|c;5o@hTHW0W370Db_q=JV$sOnWiFEg<LgB&(6`WNIQ
z8_1}cXMJ@ROA!f2<zBGKX2aWPvYh6A652;;CGR(pLHoM=h#Ml<P+#Au^!$?!DhfS#
zzA8ox$*O+*p<&5}q5Rj$#s=DGm~WT+wq9Oj*S4eB_7@9o;X9w|$7v$&`lAt9#*6q1
zs`*Q?Gc2&S|HmEFL_jmj7~}T0U--FQ3`tKp7P#D=e3vGtjy`X<nNH)c#qa-gt2vx+
z4PD(sPkg_rpaILyk5zWvn3Jjb&N8AkIGS8HG=8Lr2DdNDcNhG^F5i(%?Oxk+!(c+9
zOt~Cdm-mk}xakkpVa-h&VghJl-;XbL%b<c=CC5MGf3bB5cc^>9G05NKwm;oW3QhIZ
z$Y30E*iP@VVrrTdC`o*5IQvc<iQoID)UbKYkA%&p&F)#kxv7jl>kLHE{{R30|Njh^
zcRba96vpj6uD$oQ*S)wl-(!`A5*blOBwHep8A_#+RZ57gXb@2;-%m+KDv9i}GJcf3
z*ROw{zn<55opavLW9PA&Zu4y&`-(BrQGYiCw^a8pU1VnTyfp7<Rm(cItX7nEo5~R0
zU97V@kU@_kdB_g*PU~2G`UdKx7=ZNy>V*wE8Z^n(Zg$||8n$sZ^kC3geYn4B-NiS&
zga26e|DcCfG2erOw-{>l;Qq41uEy(iJmk(v3g^cajNVx6vnG`u7|T!K9E!_0+k>$a
zryG|s|6x|fRBK%r8@r};Qeqx&JpF;2`qL72>r>pDx5YXzIqp>EEk2FEEtAPSGqi|3
zRXyn7PNM^{^b6nAe~jVFbLXnxuq|RtpWLNYJhY+2M8DMj?oYg&U9xuk=mKW`wAiY<
znF6CieQiRWoj9@anx@N}dCXAl$|<5I1#S`y;~3nV@!Fu1xhE~=vE-TG2?P0B(4#AN
zp-td9o)8|Hd31gb%XeY+{>rNb1eP0>tCtF}z_))k*U%g`eNjBEBUuy12ij@d|3lb;
zd)-sds^_q_jO%9+gC=|kv$%4By$yR2%zQY%Z4R4p34U?@k_LPgWLHU({Ei83yKfCK
z&0__bwom#PH9#!tYPIM<H#Rn;eK*->9;4P_9sF{G3=_6K;zrg3Sa0ZD|KQ(wtlrEp
z&rpC2FSLW*M=gi26P>-Jy>}O|AshZFjzSWoHoQ_9J2ry(j}pFx`z&Jn=Bed0wMZa;
zv0(3%#~3C+T$4TPwuH4=L?6{iQ3p2&77-5`#|C~^XeP%lV}qsKVP0?4pww@&lbkS#
znI#PtM>nrv>l>O5Gqb8N9aeKMtmHpzFDx(w7_DI<zh%U$6jh<j{>Y)-kr|AjX&&}>
zXdP?V$)c+8QGpj0A%E%&XEA%%y|#p!O)SLvE6uNG${;Kt?%X;!hZT{XHr&xRwi};4
zZMLNZZRf&8Of?rU6(PC*wyCMWPh9NW^dTkqb3IDmv0xEnn>PF1U`h>Q+0zX(C5kX<
z{jBVr+A_v0`;c3<hz8uo1;~DkieUJsm*PIKg5^9(a^q8>gCk;cVOaqRu<`nktnITk
zjJH2u`&S=5h!~q&)%M9l4A@t$m2Y7B(a*UQUNC~9Wn8xSVR_g))vHO{y@gp7H-28K
zXNF*zEMucja)5F8u*Fh#u?=f0izi#GaGYA=e(qs8a5ax&3L2+^;&%2X@emGJyRphM
zHy{go<uk=`M`(ccz$>TvbOKm#8b>jP%0hyzdB5Z@TIhCF(s;(n4W}$M+W+H|1%l*k
zZe1EZTn=@PK3>5Ch8Yz`y$wX5?4NJh31WoV06;*$zigg?sc=4M)8Tnz7fXa7<5PIw
z1!h=Ha5TQ>F92Q6v^JXiiQqnzQx#Xs3aiwNQ|P7;?Db=jc_>E&H^JWfCzLoqcVRTV
zd_)99=I>aT3lQPl=C}P!{sg$nGyOE)PaOQ?`Sd6fM94^-zxiZ@3#xS8N;q#zLNQ?_
zRnC+MZ*gL7Vk8e7ZvQlKnnxPGdZe-kCKACXeIQ{%mk&;#=(~04sSJGo_Up0WG!fVz
zI~`&Z6M!GIj0Tra%feL4T+w=@EZll25I?3U1nR$>b{`qZ!$y74$a5n(_)N$XSa1^o
zkF~&ZI(0>0oqS^dTt^;ufs2XIAO;0KE}Rm&%HZ)==(X5c1u)=aJHoFZ3AA65qpsSj
zLT>yui^63^AirrbyO1CSr#?94dPJy0UCt(1<&!eZPQN$PS&)YPC7$NNUrBJ^T`<Xd
zQx!I(a=jXZiBQULQ)8iz412FMadhk<!7HoXGP@mFIOvf6_~;J}xUwZr)!RUZr=zx7
zS!wccxmBMqRig<t{B(B*&uPMC{k-1m@`|8K(xvq}qXmY>MSt_0DUfq1?}AUY62zUH
zZ1-8#0;k$V=ejdGFn;(IccGdJG;y_AIp|VAi`gf0^|2m=AN!`FeoYmw?kxUDRiQu+
zA&#Ms))1^JxSuY)QUiHXk{Ls@7DNd$6g~1ZhHdVfdFd7E@W5bl;TxS69P4g8e)R<W
z+mGbh$0QQ`;h*e#Gok@T?)R1;+yv-*xO<<uk)W`;GE~`{47-78t=#8LL28*|f7Fu%
zF08Wr{^siN^g@@-qr+yvSgONvS&szI6<zc~_bP*aXK3>5x*2%=^2}&L>Ol8##(jZ7
z9>TJ6&TgDB2X9xo<%}9NDDG{s*Q%0+lMPlCkyYmKr)@A7JD~~==k8T%Es26e)tBUw
z26MP?9mVt+DTATP&zrXNe6W50uf_dhb1*e&D0iJz1e%%2th=SGpueJO80KLPnYFgJ
z>DJ_7va9_4OMxBC$z+LnAB{O2X?*+Z&Xg<&Ye@8j+6-f@CmQaNlFi_@8|n71Z!*wF
zIfmQp4&zu_%bjd`Gr&ELT%CC%1;Qfl8vI39aVz7)_xk_MVJ3;;c!G}vu;gi8(4nJ7
zzS3MrR>n=>YV#@S;CK-z&)n(=7Nkcl-i9@$_9k$k$jVZoT>u=J4hM?UF`>%TK(}ix
z0Dg6kqdc8>foct7D%)X33$9olm;kiXHEd<ea)BYy$6-aE6)i`HvinD4aPF|3q||9P
z*qpg4_V+g{x>%7jnw4k_@z0m;*D*4JR6n_eRgMkmI7~KkXBolIH{Eor3N&zmS&=nH
zgbh8gEjt@jYX~s{HSKS&Y+^E2908?6tjPaz(k+@110bIhWUqd>h_&#dmG*0_D70^4
znp(gBl-gHv1f-_0!rT2!14^uj|HSU~96NmwJ@Ju{GTVchWa&52eqllK+m`JdIeMVr
ztyFv(E5JVZZZF5hupnYC*Xn~AU7%8yilw9Nzy~g?)k&JOAln8TlNV;X(3AH=rbv7Q
zAKHu+`bcC!w<2a`KIH2F&EUz~O%DIzKgAt?b^p_2$}YV>&Y%O7q`k_y6La`*@b#DX
z_p+eiU&o_lg0+D?f=rWcvxNK2{C6fPg$40?hY7Y1Q=p&pj94AHia#dgUOczMg8q&y
z|EKIo0SA_)h3+#OIEB?>bU2e0Jzi>7B6Mnj(et(PM&oT<dQa^Xy8|04OZU3%X{QBo
za*c_5=XdeQcb%0|X6&e>{70DhfF{J2*Bd|BM~$jH2>uq%9H`j!4g+{=f|0d`%E>!4
zXpkl_t@;5c>XAq`>{-`<k2s%p);KMaeOEMl>KXwxJUhQeld1v6gLmW#4CqnA&+H>t
zk8`2whtF?JscOKjp~ScM?=hg{DD(Nez1&DD`EF@LI~hVv4p#azGNFX)inTchdC<e6
zmgJrYGQ7Xbd87FfGb$fG9(lu`7ik6P7sM%&fg_Ag#zcq}>C{vP-YDfmU%zghlpi8N
zpQpk;%SJY|Gnk{)LM?!1Wf<bEa!Igg8IwY}!GRbjl?cHRf@ry_#4GvV{qyuB?j!0G
zP-E(B%u|9ey7%#Zf4U|Kly6UBoyJ^<latvhqge!{c3J<{W+TCV++TuZ&y8|D>04O}
z#L%neHfZ^&4!NsbPURPQ&;yt7$eJ7p<Yo}F>iR|<o_zbMl>eR=O})={m>HBrZH>5a
zL6tgOJE2%~K$su7ck##Y?nt2|Mzh0KP3jOvTb*8eRRG<aTsrezO$IrS^PUdaPzRb5
zg-@!vgb<-6Gm;!cM7I`3o~S60KuWEy?A>!=q|rg!n)g-~9lcj^-p-2zk-AGAi~gc0
za%f*)r+_@_$aapr^NIxF8Tns(F>%yuy2@C5K>^vC%xwOaA;T8i$q5xcNo12Q&NDQu
zh#aFgE!0ZL&{*1lTkuICu9UbcDNAMKInI8;$U+0s-q_t}5|>8v4_45dVihzhVLFhr
zs{!?|MOrG=Wsr)z6tQqw70nch2>Equf?wxKx~l~dJyeYJ3RG4{`#v2V68o$L`-8co
z&mWgXs*FJ!uf<7d`r5!_>mdppD}7Qkd`1r4vUSiR+#(_V4`HbnIdve~TUx(4S{}8g
zlpZe|C85;}s)OAQx*(Gzb-yrL0kNlODW&m{QI(^(%R;pt6tNUCyZS1kQROOG8(}iK
zb%bfKQ_=uRkM#G&87U$D8;AJMEt1fEt6v5)>4qSA*H}ApP6@r5X$oPvPeS*YR`2hj
zH->4!2>;zEWt2db+bO|ALO!<7)7E@3IA$Aa?=h&1CeKS+YFDeFLy;-R9RKmiPAu~&
z6T1p>GgIUGFr|Xb=H!yJmjNOgUoX@#si25^Q5A9DmC(9u_~+bzobsKOF5mg0jC@lo
z7P;dU(C#eJeQVSNW+-Nf8g9y{u<_F24JJ7xHj;T_RLd0Rn#kd~^-Achh3pt(v<%{>
z1j*_6nnIi5^9Kk2Dk5Q<%_I1NB*MgsTvZZHfqZZ;W8;zn>QpV7tzH*J0|tR23jcH(
zhLp^wJ@Uvi;oKDydqH&7-fA?#-xNIb3#3ox%b_{feS;@>c#$8z&S(mzz`xlf5M?im
zI=}Bu`Ir!pCLd=^J&h^cPM%3Pzbk`w2nG<`!HiNByqdgfO@P`b=d{y9X>>g4+58_N
zI<&ZWcPG}}1WI{=0?u1Xp_SO7yRVCO@R;FO20OGS;9fV_lRPPbEIXWKN(NVOf#zbh
zfP4TFrFrANy%>tJ53ZN5p2O3G2cjno0IK^vGmnf2Ba&5&b<yes{^8a00*x{ZJZbc~
z*i!}3NrG^KHp?)cpj{N5F<=ae_G()<z4(#!GthdG*n_iRR$)H~#!yJunvp%li>xLt
zync|<fjjTFA3tDe1cIMSOeSt{BX4sK?J<R~_{ORH@a_adC=U6iKQTl=+-l{u`OIH%
zul%R13?B@Dk3P42;57%zSG;@d>8W<y>hbX;S!M&krt3#+>DbVD*~!3_L*MZ)lhPgz
zw)*hh@r~!xd(0>+yFe?#w;LaE)Dp@o(1UTjBkgMhBVx&qI^uqI0B`yk%=l+T7bZA*
z+)Q%lQT8k~dL=N7+XO2($^Gk_t+GyuUQ~3b?dn?b1A{SK(r{mn(o-E6BCQ4&<kFx^
zWdrt<%n3Z|@U8f6f)3me{o@-RLXC)OI}c-prt!OF3wEsG+VBZk{Vupbg{WDl0u$f;
z#pyG;<BLZr;K?Z}vd?W7|8v@}s@;4Zw|vEW{<<v%MEm*)rII^%{@14OvAT=+-nbF5
z!X_=aJnymfQGFZ#k}O5KX}FBDJEn^DU|Jw>-04|M(iYy`!a-YQvx<K+C|luwqY3!R
zk^gSXY~dzxM?}M-*KwhMT_IaTO*rpVM(Eku#8W!cl?Z4P-+h%zmw+_j)XxEf6}~O}
zQSU1U8}S`HR5Hsi-%<nYPwQmxd2QhnU3WzHAEH9i`!`~rbdn*g^-KxppDlbVF6-9!
zJZj`{xaCl}CmHNSBdh`*ZR6Gj1<PIxw8$pN%dBvX1XRhBSKRLH;2a_<lz~J#WIXfZ
zYsoDV6vQ=G*5kXlNdM38AkKjN?Kq)Lg#<S4iYeRIsStsez|+&khzfEnB3<vPgL0LN
z2A3T*%5dK)7kS2vVz!KV7f01VLRdm<T9*d#M#t5>dBTdWUa$XKqpb#MTo?Zq>d_*q
zR4J3fE_RghNb8_{x+=IsPf(sC9m<U+CPnZO(7A{u`N4G+sH&M|zIcZoIXZux*mdMW
z7GzU~bUzia_vIGWT4O+g2?5t0)pDb+1<$W3O(_G%qUrcp6cZ}#URwXE$%~qQn@l|q
zQHGJVoBccTEa<`vt?<BCKIBR*YI=rE8Pp3ROBJ?Q5tWIXk<m>7<ljX-Kl(4<lSV{K
zjJMd4j&t4N<H17crqjo^u0SPl-Do;n^v~a?<e<5$ks`>;&=hkqRD!p^n^z6@a3QKk
z>{8=T#gH{S?9NFj!TP?vg_lyfQTV>|D|rl(Xgt@O$y-zjmbO32im&q^>a4VT%Lk;8
zHK&gX2So|Ke&AiojNwBW@%`3~CDJHFN)RgzPy%f?Vx5zW0HQi<-Sb<Bh};~fPe-;Y
zL6)JT?Sn}{bT_l&%GG>X^hqw@>LF`oP;JjQGW{xyF3h&Fu^GuDy+^|f9&{>@-q}%*
z(=CehLYAM@PAQ<?@5Z&KXH+0biI&lWS^_;<DzZp;sDvur*rg9~s6m8|bLq1pNtF5G
zO4=t+6||I&wnfjV1Bc6wd2X*1;x8&Bu*<0-f2?}DEtv$<b>TZX!ZK*=Z){HSpgIb2
zY7U=CB*STyifb#Uh)BjeHLeFIp&!Gu8n#6mki|55da+g({V{iWvmHZ5RF{`5C;n){
z2;U=>kF4@Yt?#3qBvAt$z`d(wTqw{NSz;0DtbpF{aW^|!tbqvQ-6h3~+7QpaW89sm
zh?pNC<)d2~NM?U>_s2)NFgx71ueMzY4K=IA5ydo-QdcF(EJ7ckJNpmAZ)KG7<{b5J
zDoy0Sk~mCsG=!bh4Q2E1D(K`XMk<uAf%>OHmZ$ZMq0gM|{7$MWGUVb?>fIuvU&kws
zvM~YZG+8oT5L83;Ri<U!|G2C@Dc*7IH$X;>XN<e68k)c=f>%4#QJtiy?W-pyV9o_n
zXWZ2gzvs_8N!+SPW}^3S;W1M<PT$J9C8CC)OC!a6M-iEg)_69JnnK+dtIPXRR1tgF
zuXnN4a>z%%yf@X-3}Q`wgl5(M%O!MAu4mcFAm17J?8leQpz3AI$;oHRNTSSyv_&O}
zy6lZjR&veYbVKT?C_g3iF;|gktxyQHz75>f%P@n>X4hRbHWiRepI*aT#Dgw*=botc
zH3MN|>8l@o<k8L3=fh&B*wCAIWYai#GpHQ$SrvINi}W4Xx9p2)QR(W$2ZnZ2crbpq
zEQf=L{!{bzE4;Fb-*l>Cxa?yJQy1&cesGjVGR%Bc_H$#nP>-4L>opUwDH~XAER{rY
zojCi2m^0W>TcSkSMH8s_95T?wB983hU;bizFoe~<k5JBJG=b%N^f_#k!bm!-O7DR9
zAB<VnNPYD>fa{aOEtYu!B)Y$8=dI8p*3frTFNX)9P5aAnX=OeXU%Sa$qql+ubbb;{
z(8J(oQngdiU2atQjdS;v<{HLz%{Ix_#uzq-T!tt{1hm+)YUE_GjydyhWM4jO1T2%m
zwc#pk=y*7TlyTuY=AI*YDEyuwu;hn@nCxLfM4`M!o|tuPXCjqZt<?YsZqL*#8|YBo
znyK3Q+8TCX>)_HkY6IxFr17vjhZ^;C$mT0)tzo~^61jFTeYm`2rt~X!8xP%O$o^)z
zie(8FWP4uHg9`TQ4!wdkT)w+;qJRHC|B)|f%)aTu`|v-JF*-}QeU0YRPy3d!)I$Fu
zEg4;i$yBL`vYx|lzb<b*e`E=Z%s4_da6t#I#X4&@)lcDa4};;Q?;^JMz3s`7Zf)3a
zGCjETWE9^%z;JRqdjWef^54XUo;DCpIa3772k_tfve`PO=CK5+yQ;$vC?M<PTpeTh
z9e;M->+pVudF;L9>lsHj3WV$IyRhBTh}TeP9o@#~u#wwJMAaxQ2zwtAFg;O@M~u}y
zGs&963In`J>T{alB9$1Dv|WlVB)j$A44A_@3>jxA|N2*!ltRpi%zLb4Ny;+CYYxNo
zea1z{G+^tp`KtPC8@9D@Al^A)4$Ii@U)$iJ0e@K-8cO}XW2ZcP_;(xTFkiCLS@sDs
zFxdT#%x37p7#=e8rz^~3UB67UhXTl88l<gM=rVwDOI0;ERL*0m&l(4b|2Sx>v9Ds=
zYzUiuQR-XovVe&g2R44ZL;{Oh@rktkBbeu}$UU*-Ma<j2;c*o|30jWr&fh;UhULBZ
z;*zhlgvky(a;&vehaWKp=eZ7#W0GYS8kY_%V;Sc|E}l$O1G7&BrDu*$Vn=U(KKUne
z1@l4i-)&y0f*L#L@6ikYVFCU}9x|}4VLw@A-ke`jf!$9(CY&l~FlLv5{XrG$*x^g(
zN<UImV76cAK?%bwwvx4H!1(eewrl70(I8qGjAbl++t3{LyvnSeJ#`z4>r>e1`^SZy
zxWm7$@-ASuoN89vox9k{Z`+)e;!2<;_QsPxei8GnFHmz+rUs3C6RoarMaVM~X_sJM
z#$rOb1Uqifzza{Kdf#3JF#9avnDA-^i|DKyYvZK@5jUz64?zL^!~?~SC9h!_{LHWO
z8t5UQqWtB%r}Ds}M;*U=c?0vVrSL50Fv9sfv0PE2JOl<w?3b(D!kS!TWV=h4L8h<u
zi*&vmsGnmA>*d(ROaemhSN&!MkJ5K(u5xnl;?|As#ttfooev_p9Or;b+4Aaf)v_Sk
zeu4g$5e?jK?ySCYg#gPTRi~W}%7SYf*<-zx7IrkfZEEPap}AU%vh<e-Y{ud`XJY8#
zj}1F#Z4nQQPdE);&mqEDAx)<uXGZYosH><7<bxJQ*E=Q0h~QbfvT)st8Prq5ca}~H
zfWtWJn1C!1rc-O%jz46D$g{pZotK25PguB$lZFUpPg$Ll_&MNZgTemNJ`retJmR3f
zC<DxKF9nXBB*5Bwuge2ZaflWSlDo4h1N?`!WNmx7AWkwd>TtRwoaF=S4RIoTI^3gh
z|11xL7(da9;gW^`-%py)-HGs*@RK2(#0TkNSGMjyk%6KI*7fbpM37WDMGoN;0JCSA
zg<np~0t2VyGj%6f_%vNWuO%Y{cQ6HtBPI`HO<h3|qH<8Iw_0?<Sp?RqTpu3MP=wBa
zmJf0Q@=!6uYx%8S3`9?d`Rp-L2B-YGAHFsUaBaUw#ydGlsFgdw(d48GRC<rZ>AMvH
zxpqZ!CrCl3;KTaacy*{IKI{JbL>b;UUx^!9kcI_Pn_pNL2@>9?IrjWgg%>Ga!i6D3
zxWl^t%$^Z4<TWKGQ1nS4=w<ogI<*`qUT_`R{HXz+MtU<3Uy@<Z@A-&5cjO^)oxu46
zX@ZHfgs8i}COnO_zSW|t2qQi5p64R9pt7~MMB^w0iiO7g;EfX8wm5g{1T_WZR7@PJ
z{B(e3Udw<>R|W3vKWO^hoB}L<-&^v_^dOeA@TPF4Dtw;I{4J_Sfy8fXtwD5#@FRtN
zUG1Y9L_W{d=IH$Qzv!Y*S$G=*(ZN5y^Q}6B{U@XOf>R69QQ%C68$j=rw%P+75;%3h
z%bsZs*w|E3n20igz~S7lb*D+7FLU+WpFlEvUHx6~Gs+a!w3ANj_>lm}lUJM$s)H3x
zz1?AZGw@M(7Q2Q0%iVO^fA{TE2F9j~Z~3XsVK(r3_^~#1u#U_9lSLyBlQ)Z=ScIDc
z<FOa#jv+NDTX>hfTPh6|ilK4oug#&kd9teCQx%3<chmy9M1jHQe70$;IqVsJFhKoL
z8IFjbm)sfT1^dzZ!NkYrur;{D&bFWk;)%4MhYqsB-{LW&>)z&&@>khXW=$Sw3g&h-
z4{c))^o48U7|em?kY19(ge>^~?GR70{e=m~0(Z(yGq_fK)K>Mg3{a)`bmmo#;uz*@
zs=;Ii(g~M|{54V_Nuln4x4eq0Scpb6M3};O*+C;JM+u<Yd-}t%AZnEIv~u>qqzNnp
zg+96&AOfELw{WJ5^yt^0Ozx`=CgA-bM92B10OT#C#+CRmq4$ndKM1V=d)yAH2m>#?
zsGJ+3cV|J5hgZH`G65JhKy*6HTo5uA6=ijg6^Rqx4Ch2+psv?E^;wAxu9#eByJyOV
zBL4eLcRSG-s*XP|KGVzq_7dCEiE(Tw>yvWc+8rYZ`z3Kld4d|8*1N0@g|ea2t9(m#
zwT3V)x>`3vwTZQfEw#AovZ1^~x{BMw1`yiY6DA|Lh;cRAt1ynRqFvw4lac}kpzz~i
zvmNauHYEA-g=9P{qPI)ynz7Rd#?-fKttCIOR5M2NF<Dl$?`hV%yE%G5HI&64Mc#`~
z1{Zi;>SjUHT7eU1{^){0{#uUl$xeK8opbI}E(>~Eqj9CfTo-0|$IbU19mS&sGnX<i
zvLIB~e@XkH4lLxTKKzhAjk9eDGVDoYK`uWuKPfZmfYQ3o7sjje_|cdgKZ!CHR9PYT
z$v#9ILXxanU#u?Sa~b^sY0E6A0?RK58l%8iqt2BX;u?NGVY2UnH!FJCIi&;66d3Pd
z&`lBF#5+XWahrd=pQ&Irxu9DM*o5|_pPAprJ!A=z&aG^S*>~tf>@h8Pr?q?g`B5rl
zpY}-WO&vR$;x1GBJfsO}dCRXKmr^5p-q`5eUJm3i!BmzKpb2;A7Kf|XY0x=N=iXdy
z0t!u73hmz2fGag$vZD{uAu{2e*5+3Niou?`yuYIX<6LqozD4v%_{V<<B}H85xNXy1
zBt-)fny78>F)<>wGpyP%8QjQAEx^gRmkb}7Uu!K#Fd?5JcEjKt9&|hXdX;Sg88WlI
zxHY$#5x=dR;gxs1=*oS+3;``Nyg#=0%I{28^!nRI`T#XQ>bTUpy*5n({{zGHF?-oj
zgvHmHG*<!i%zigHs+<JEJ1#0Ve4Hp&af+d%Ul56%@R%_UA%W$Is@_8v2}rb`!?fnS
zFxu)gNm?}{!9|_gO1R2}UR)^MXQCyF{s#a6|NjhEcR1Dm7q|B&dtRH1d#^n|2az(8
zA|fNBVU!g~l!g*2Boc+t&@f6y-NUbMQ$-O`B(hg#nLq!Y=REJ{ocDP>ui?yBXm?ze
z0`E+6x33oq;S$d_EgK<OG&uV&h|Wxbr%vTzi=Tzjo2QXWnNuE1nd&BMMs#2&=N0mC
zu}yf?{#TcQqylQbz9uX^r~?hLJXy~oMDem_%qJN$68_J}t2=yM2jbc?hRT17VZ+Fs
zE{iZlOtu!236iEjhsB_tNVo(Rj|GyG9x35HhHuLM+eQHga&zOZO;R{Q4It~TDPy$r
zY~77i3Y55M{tNspjn6W!b$;KiiY8wz#@hQSV9?n6sIp8J^<_RiR;*RS05&C;JuXym
zf<w{ETjjCPFWvU0j0Wn&b1`srQDFqbhf=pG;KX18K26lb`<jiv^5bdH5XY3tw2Oob
z*0R!PJIN?yPN_X@stbqXyJ!{xidcCiA@{wUHuC*ftXCnX2WOO(M~=rTVV&;<n<aZ4
zj5^XY9VVy`QL+c@t<#jzm+gNaHPtEj#`Von88rj=Z{4ZSr$7Z4mMbLgWKwXiA6v>_
z4?`IKc9eObR22!*_WN<Y6uhOmJ*c<X2-K!FPa79*?4w&*@s*8=gC+MyH5g6chq9iX
zZL&IU_gYLl&qBq#8pS;~f=xl|w&y~=iw0IzdbLNkQP8Nu<oMxkGjQlKkNmWvfzm1T
zb>S!qUOeVpn6t$KGCvH2G;Hkub077=_y2Uz61Q{HN(o@}I-0iHu89LQq3caH+DM(a
zBAap)U@U)i&30K6r*}B@oH#<pyF5%IHk_7FyNhDlG_HxQv20ZiJ2mhu8&f=YvL)<u
z^^4wdR};@wR7vTttKz!ii>2goOAvMu9Im8l;x9FFPE)cna)~5`UNy7=?)*xhg!3Bs
z!cS8*kx>!HzfmeY_FKVGjSKZF73#RFKk1{-NqM}wHRriyycG!ddS36TQo|qSC;02g
z(%Ab+g!6lh6%0kp{@0zQin4l2sjqH}q5qz%JFk0LLG-T?`z>B7XmdwhaetyPN`>RL
zb6Qp)cy`J9wxBYW9+8jj%;v`?#+>(a6P9qN_MMMSgCd>`Xl1IC=fo=Wf(Xk(OQ8SB
zuv*(kLf1ry?<`=(^bbo<a<*B5>*OWUD7OMm_O(C#BeX_0V`<>~G7f<3w-qnP%AsR%
z+oq|a1$v;9f4*-DKziL;Z~L?~KL0o-QTyLCT~ns_o|Q5{(?4BGWU?gwe(R^|d1IJ<
zvr~FlHh}<Z7sty-EyZz(q2+&~Qorass(<VMtFVBef%HOmk|+*(s(FUGchh(2-&N}x
zGKVjz4XQe15$xIF*v~W9PJh}oV$Yyp4$3qOt^pq*<gk0dlO6hnF8p2nCgE)cEgio#
zL!JwuJJZUUFQ#AU$JA0Bq;8o)Voh$$LNXspj%ux)8g8Rkt(bUs51PQYde7*<0d8df
zLMk2L@1)CK@wP3XnSe8O%hl{uPP8{*zEJG*oj&Fqk{EQ_7(C_JRu9Ls<HYuk*<0^^
z(tY01UMqbwf;yw@tI3a8u_L@Hp7x@jZh7l{DqYtIa-LsXbx~l!zpfRm7ZwKTc9JwT
z@k~Q_<dstD_<;!vACl_U0!Ha-HrxF977gI8SigtpBSw4&dnV)8C+I&p_P$Q?F@U%X
zw*zOJ81R$(N5O&KY5F-XZXWk$ec(>Xd)C0rfRCz}#KT)>=z8b1rX$VuK}D{iB(P_V
zE~@`&w`JQL{pYY}6}?gqI^|khBAM6dFYk?ox{NH)vpnqF)yR6_>TooSJ$#k!vaWYK
zOXwecDCd21!ChU*>-Q11C9TpmpJsNvbXlf<dh~}|TvHdWWM>YG3a`@HjDq$%Jy@le
zcInxrJ*L6sH%^b`V3nSda8*=Nm;skWzN@Yn(_koLyAGDF(x<(`aNU;?-SiqH_rInB
zPlw%I9-B4#k!*W%R}&K&rgDC2cc;P|8RNgNCD!RQxBQO*rYzXXPJ8D%Nr6oR44<`y
z81R3qSA#P?u;OTDp~iAD1s)~dln<+9z}SyHTB#fN`TFJIwLWDED1FON_#4WIffKi`
zRM>Ok(r?Q9J(qQ$`%?Pd!!}Gvdwa7g$ATLV@Rtuu^k~EPy@y1ajG58EtUHCzgBMqf
ze-uXPYlEQo+kMIoEXaGb>9pugeyn8sX1$cH1t~ndVWJ7F$RnN^7R4oqhun^}cra^0
ztuc*rcPks-R;f50vw>4#F%z@>$H|bs<zL&_77l#g%bDKOB8+*G?QseWWZ<=pj*}SR
zM9~^3WA@vGS(yokYBMxp?exzf-#gqWwx0FZPDl)Y9I7bG)zbu7)<gVp*Ld*<i>nsz
zkT~j|`($@`NCTR$+&$}1&5vpio^8$RlSG5Opu@TkG+;6*;Q9=MAl4n)d|QM?22=0P
zpVB|C0U4e%BGr~cIB~t^>`rGneC#Dxt9)DoZg&ZkuH_3O!`+I#zxw5|NPr_k?t%vN
zXp^^kZs;c8beT+^J_#=sI31{bq5)yzXE_WXiQ?=l&nSm{MT~1XcWH!06CBmWm_G!G
zWBni7b`MEq3{u`y=XiXhexM_gi;zT#WoPieuY$KDWiI#0kfF`%6+PHU8XdQ#74tc%
z;nRncmxX7@An)8<-RdHXchc%x-ma;m{Qm-(idMDYOt`v5nXNoJEV*eXKhwm!eeq+#
zwmNXDpHY84LIKwfc>5fS(n789U*AOzQsAuR%EaSx5|&xK8f#P6K>^pN8Z0}hP_i{K
z=I|dyWM#i>&>BR+gv49B1pR67Tsvmwo4GQkyjpv^Tb+tMgZ54#*L8u<>v4B_nhL%)
z{_Wq{Mn%cJF~6Aq=|P&BOfFBiD(0N5jsD_G!`iFO%n~OIK*%Tj{e3xgRLZ2}IKHG|
z5B&CSBN>6x2+!lk8+tS4xn*?k0u2ibLe!`FjiHjvd@U|a6FZ5kPGgfa6zdFMJX2!|
z%BM6=ehnhyVBO`Q)G`{{9Vk;&$uNiOBkF&mb+wQjW1AQ*O~XTGVI>wp1cbQCik^M1
zg;cMdbGnXH{Fzpz9GU@eNUVu_m#Q{S{<q@gYfeEHlE({gA4`~t+jD@yQX9pm;>hYF
zS~!v&Bhn>g1?SIawzF^2M)%-WW&I5uo;`8!%S@>i_=nznQC_t1{`?VOZBfO4^PIWI
z#H_*c&+}ZVaWZaO9`&d_t%Q3V-FCR`vxX?URL`vonwYMC?n0V@0t(;e9m!9&hO=vj
zUR-*kf#tU}m(97PF;?eA+`bFeaD#VnMKnYmOI)b*i+rL8dq&IcgROzm9Ckx-Och;S
zGJDeU1+Y3+u#%5v4Q)%!mwcU7Ft0gNu{@6*t-@v|dw*F$i&AE#NvRU<ecC8BQo2UJ
z<OJ4pNmlT3AD^7p0ts)O?4jqqoTlfz&lr&tvx5A9yRJ@K6;Me6W~H&6-n`t%ol|TH
zM<;E5pL3AIGxv5=)(<rke+9V~+B7ZUyDz1NSw$LAjOCi&<N!hTtqM-B1USY$wDYT~
z1iG7Q&{egjh%E-T%WsVVuBn@qlifw}T0xEEZM|9I50j+E&{+arTd*A-s}sgB5BdJ9
z+4ICrH;3JG`4*5h8y(8(B8XGl>u-85FAy5k8otg3bBHsZ^SWoshqpd8E}Xl*NQCg{
z2g&!Ff%uvB)&UbP6is3J@TGW>I6RShWl_KkZcFPct>?30vyi%e0<lOOI@5C3#?};S
zlS@e5KFoM`|5Jgc^abKZYm(8sBola36SaCUjsaig9<#q*K2O{#F@2={${3<5wtW)$
zxJ-XpBOIIlaE>5d{;Di2U<^u9Lw#lDi*!-fxoe3fvxMHKz(=CKMsR^;OGvT)EWP-<
zzWTv}8Dc`HEcE*mLx|UJ{9NZeMb}V!Rw7XRhbTWA>c%H%2od#-vhIQ-be*t@#angL
zgyV~A2ff1$pi9EMQYovSzM{N?&A)AmIGBBN@Z48@AjyAy5`OvzU0qtoF7nVMvF;)?
zvK91Ui7D+z14ldk*nJ+~0n-U0_+oX{k%xMqcSC`8ME*TJB(1;3(SDq8zP73BoxC1+
z$*x?!&|XjP;5fWKlRHK%hSP(zuIa*^Evr8LN3PJboGKh>YGcHi&5isKg1RujI4`YR
z{FsQTw~PBRKT25m_9Pv>M1#(%xu;j(H4-;n?In_!#t4mn<PTDUG)T1^4SN>)j`(O$
zJYVEEMrb)@_Sj@oVP#8D?s?r-;?alEFTcNz5g%SusCLUz;dc22YrUy9;$&x2ongT^
z(XwNB`^$Tj4e;iq3>@zydW~1!jucN2zKY`v<Hi(d*C)MZ8to=tJZAEEGdxK|XGvW=
zk)s1M33<IY?0SjnRFzRt!)ZeMLDa14|FnVOAm{N`mp)?R_-%VmsXs*SiOej^IW1ra
z3uP8$?<ZnjCkCY{%n%xC>B&l(T2NTFv%&oJ0AW3G{`wAwSwjC9!_UF}WcYkK<d;M4
zATd6&&={0INA#H$u}0t1gjHTEbHUTY#NEi+W42-o#Kq&8+Bl;DVlSuux}=N}**2}u
zzcnlp=RdKoy#NjH${0L9SUpY@XJ~Moyz-BD@iN3AEK40Gg)YBt;+P_WOa2Or<t`I`
zz8vzOC)A)pG{Ktt)ie?ArQylkxk^m)#q}&Ws6oZ+oxdKEW{9k<TK8|LGXVb5ZJMc2
zg{b@yxBC29LLhX*6`yB>UBS$SL(-}+A7Ss<Z8A>`o$3gB%*70=LGOiG(^VjSyew^f
zb%C%NoM)}BW`WoYy3j>d6`*s!$T&Fmmv~TA7O;AO4Ori3$$U7i46!jq<frV*#HD-8
zlo#n7@HSqE!+=v6?y0ND4ewqhY<WpzmtJ$hnx|)`L$(sQDMM~V-#Wp1)NMS*m>0q(
zt45z`DnX@MREdHsBLq2LY#15ghdG%yruOd?q4|77Z{T+(*fq-;=YLob%B~b#W{y;Z
z&#N7^EGaAya{K!uEq-B8nYNdgQdNWo_T9_>`LRJZAu)WnLj>fOuWjWYCc%g9uGRYe
z9N?h9^~|kV6bzSx4m_+Ofrx)MtMx4|cw)Qn;D>2(c$&liKqZF+BPtoutNgq`KADjI
zz)lJnBUCuVQc18|pZVtddVT<c%{8$@2DaM{i4|p&pkAo$z4tCbpzV0jwb@x7>{h6+
zlIlsowwEDcZ9)i~(nn4>d{KZMjdlYH>m)d{5X$2AKm_*t^StbgR)o#tZVC5;6hY~;
zVMuqDD8LtUK35}U2s`ujy~1BbV431N{<c&co}6=x+$E_Bd)Z2k9ja3T^=7HKxdBOt
z-otT(kW_~>=`AOBJW&R5*PhBN&N4v#{=;W#!#|-=;G4KVDq!aQ{J_+R90;t72pI)#
z__<u2eB)R(IB>!G3$MEZbcs>>_Z90vEr;WEtDPEfbA7JPtc3&;0lDovW+*_<mYUK?
zCBv@BCT&GeB`7-O7h}&$gBu66W6Csjz)>`=m1|xZtSBLD;S#!VNu4(kq^Yp?Eem65
zjw)y;p5B|vtp_KfHYG}T(_k(f^S)ZB!^OSl_oRH)g9D)g7B#JUkSMcRG^Ixa=o4f9
ze}nbG`$?w||B3+wPlTt|g^=Oip#7EM27NdL7|-Nl3|gW~gC*a!K=I6;dz<U^;lfPG
z4t!+_>GjtCw#w^3f0(QJNl$(Fye+x8!p;IlUH-;qi%?*5+Mnv!Y(01@m8!t)2O!y}
zx%woE0_Isi<8^{{VV%43sZp9GX#1-%#BcD>R_%`qv%OSMXSm<#bHfTYo7DIOS5P45
z$~=2669xF6OBsutwubIp?;R2wKArEkdhpUmO_;1pNOU*a3{5xJ(vmbOuqZNpZp=v)
z?yz!hdiZoR^j@i8GqlnHn-P_of3+kKK9f|Kzp@#aVIQIWO$+*3CfEDUNJ9g)tLO%g
z4P0IsvhGnM!^44t-`bQ#AdSns(Pw-!+^#TAy0F1371zY~NRv5X0tTj=i#LO@R;*Ak
zMGZKf><eX_StMSoMt}Tdx*0TV>xYhWr~u`xuHIR@I)ZO3Y{LGzH3U7=*b>vB2%7#N
z)_7whf2oFf@1$5mpoM^`&OHTi8yX6T6<w$2k!=zl=2^k_=JI`hqH@q;Rey1}I4d4r
zEt`G7Vg*jE+nd~2rQn0FXZCp-CpKK5Cg>fu1gq*wO>r$T0Dc{&>*73kpIy$i{|7(=
zUF~DoRbh~1`F`~V8y_w>)g5<p0WiKQS#i%w0E8AROC)vqk-TfO#Ovz>-0}Jmd_IH=
zB6hx+dGUcC)jw>%Qc_?6wyv7<Q#~wjBjBO@+8RIJcj#r3d29|d&9pVAN9#mFO6k{q
z!~94Y9{POgqZ!1Wesqvtus}34Y0l`D@FVL@9#N%#8~8alkaBBooUm#<k#A+sk9XX~
zCx*36;aWrUw$x|eiSZ<rgE+>AoyW}kCc{jC!EZr=djB>dnpORmD~k_*#g<-odu9xq
z1$O-?ZEK_FKM$Yucj80m3*X+ja~VU9%pvjM@d0`v?RCNx5+6E6r^jy%FaqH~ueoOb
zN%}vNfsp;8eAv?yRGjmlA?(ZAW)g6GmcCf{zXfA$J}j<^{obNw2q}3@$+ZECbU)VP
z4CbMHct4&NfAxj|%xzy#!?h)P!SAnZpWFE`jKS6MmY@Nc9aJ=z_E@9O?;P9q`XE1^
z{kyWCo~jQ~V!Qnm8X53)JEMWkCIKw{Iqvd>S0B155gaeAneczxM6~Xt3gF1w8z~>M
z^x%zS)92heW<157FMC}|5br3wIrd0F4~o}{vh6ilvFOJE=dvb2RN*T4eW6+xSW?{6
zg!9;N@kHCgz9b>!Yjk}V@2CqeRq|`!@^RozNrB@bp2B$PntD;qI1R2Td;XY8;l!Km
z%e)azBKT+ZD1TfA4K9AEztAAejip=)<rJ??XzeZjON5}o!RWqzr3XA1Se}|2epVE3
zL^>TFo1wzm)<zuI!-vt$|14PFi{bnkHCpsTDm;Iq?QJC>fVo;v_3E`GP>JJh84*E+
z#Ik)04>$5-n6ZiG?uU}75LxUtZ9#=QMWz9c3_=*|?r)pqD2?BmT}Ny;QDJm8Ch)p|
zFv>0&9(cwri_h(2%;Xj*V5?}ZzDN^6u}`h-lo2`na&ny-`HKP(uigmUKClU&`+GP4
zoRP=(b=o{$-4s~ewtwnbr6@*woj&c&K*G|HJ1asP{fhMp5t2gUSmvId5Fo9HoD5lU
z(~A^XifP^*k}QE?iL1>WHcFVmm)3T0!$&c!+iEfhOQB=a_I{D$%D6BW>B6&{3I~ew
z?XX%J6PBiIKi8^Yu=9*$bTJk7O}omAg~;N_-}ncN>#C@Bz<yyfD-9l<eHuF=C67vd
zk9Sqrs$;m;*%iJ78Z5cCIWTi8pg8N0&GbbLJlvb+V9BowWmXZcbBrYHEl_l+eY270
zTo{zu>vSQL)av$ajf8!V7@J1s$>`~HilUUL2O_~2%PrRxF~i*9?N)AW)Rh=2eCw?b
z58nQwD>5i!u1se9gLQ4xiOT2?ayNjb_xw5?tI9Zf`rM%2TOBl!A<G^+WC&C8>~3On
zD(ICEVA!cm!B^4k+1?pOu-5XDNw7y1z4qq6zv@9jGnY-*^qP$!jW?j>#8Wl=_Qo#C
z(U*eG6V-2D3z@>s$=cT+W7Kiq$Ih4?1O<=2;8nTlV+Lwv41qz?8hEo~i$l<`4lc1W
z3#;8X2Vbjno}UF8_*C4k+;T-5M}4A~*(NMtb?#EK?~(@I7pe7jZ_vUQsS1)dd;pWe
z=1s#Ins}SCNNU$6V^BhyZC=hsKJs{DTco9l0?}Pw@Ahiox%4aB9|>B**9AU*X+}+4
zxvqBpo|_s*`WwG<KWYgUs{JG3B^tOcSx@m-SHXaj9<SYAT0%J~Nz7$q&Lh^bPxOZr
z@#mCQQN)rZJgzI~8$F<oS@&gCqYD*qQIu&aS$res-qBa8xuk{-O;J^MT4d3p#{XWp
zoE6kDGrlv(Rz>%KpFLkPC9x=7%b-ud3PO1$Pv<77AUjj*F7{$kly4ROs4`^<&(B9i
z1bQlC&h{YY5<X!(?aSjb*I)^6Sw>HgRF&`*Z`+@;Mt;m|f^5<WOYqvW#3(pULhH~?
zS)68E=p*9gl}NLMg+?Ql=|>7EyX$cJ&5Nvf(bXiftQSE3@$=K|G4i-gsj!CO4kOl-
z^iE8i1K{)C<)V367R!$uGAdwOrI#=LcWAo?fTCYKbBvudsu(Hv?-&0|7hRa$*ON_v
zXtsKWn5-n~w%^-B@|mOiGVu=@bXdTBp3j}6P2%|LiS<-<)gO99_($<_F$++Z+EnjD
z5k)B%eOA|>Q}jJk>m<5|Ibat{Qh2xsdO3d1C;ghBr;OJOoGmbe_Ndi2tlxytDE*tn
zUGfBdsjfw*anKY>tV#zM_X}c&+H8VH@&vufGa+x9W(ux;)3+Z;3gB@0r{|{|C+S(A
zOI-a=o4}v-Q0wa7ycnPNZc5Z+n(lCt>8nkrG3ajp_=^2IH_A#KminCchi<r!zpR|P
zp)YxUzCT5{@b>ezmBUiAbloR5#WyY)!K0Uv)QhPcI5j9Z8}ea}&d7deli-XYSWMqn
z1A-ly)NDk@?=H}n1}J0(4@0<a@Y%phoec%1Ukv-+|4Sb>|03`G(g4nUS~&LCmK7OT
zE&p14T%wnB`W=?jGk}_W9UsQ4Ea;`c4;2Ed^cE>IACo)!uwQzAB?z#f-OgR|dm`59
z1-|RzcjWcq;nC((BTtx-nf)3E-x32d->HcV%-4e_uMQTUIn9g#kN5k{+cV+O<)rJ8
zvU;#RiX&t0=tljZG>6M$X7uZGF77PWg~pvv%wp1+apAP$>Y^Ge8kMW4-_p{BqG)dW
z(l^X_cI}&=@G~|%?)+h~yPgK}Oqb!P5)1kT?v<4F<-nk*$}hK_Xy9=~?u%X_3z{yu
zpX^ZN!jEDvgQNzjFj4rV>YN2D{!G|aV9v&aRqWj!2a~9vW_)fwV1*TPVkHBTx%klC
zwy3a4af4Tn32RAqvtiK7_<a72dp=OeV%`6a0<kA;w-ep$Sop;1u9LMOR__QJDn3eq
z?G>}O&sI6GDAYIl=Y|eSf9r7msz!nHf5ns^TXW&2b=Ll>E@6CiWIea5Ne3D=S{kw*
za$|y_UtpudCS<6xSNLYB112KBg9L#Ww>I2!XYLlopTV62J)g9}w_f53#}Xfs^qZ@K
zlf`l5oRYVDm^L`BIJMdw7C?{Pxb5psNjz#6+%qYw4b`H1oQGos@zCDzrwf+SNW`C*
zz0|J-wS-%kP>v8*hFouhowC?BOX`h!p#=>)9t=&i2xF1?C6B<(^61>~xI(>B3yK0h
zUb>;U3HNQk;*uGzfZ;5CewmG0a5YrdP2-9v+J-dBNmh_>o;h}Ic1jC=#7W&dE-8+t
zx1Oa(GAZHt<)6W0pbZzca%C8z1PXG;yPgVA#^;$4?;@XR!(sEr*777N^c;f7z;+dU
z`SAT*`yL(8$|hf}@RLDj3eyc&7d6ar7W3IAN`cx0;aw-Z<S@gpNjbPf9SeHrVwH0#
zpm+RM@{4Ekn8dkm6yc+Zq{fnPGb1XTX`1v9{G@<s=RZGh=qF>>g95>u^HgxH$$a8I
zMM6D`th{wkZTz-fWzX7Y8u%`a&a;Rq;r<i9^sQg$V5`Zfe?+S;6lyi$b1P;1;gltJ
zERli|9LdT0fApY`?}@5&m<leBE#JSuK}F$he3I@|1CUiTODWA#MW?cvcV3ZHEPB<#
z8F|SNe!hFP^6`-xJ`B(d>3T-Rs-8|6e|BTImoLS?sa74M1B!lGex@Q9zruHkOcS`+
zb#|S0R|DH-8`oacQjr*K5X;msgXX=b!fwQBV$YvVy8OXZ?7A(Hy81tJVDNkv*e6Fu
z|6{}qX@G)GFHKI!?;?O08!%PMA>)Dj4krqgDfs^Eo%f0R0X{i~TI6(-F){UB=KdgU
zv@d_n;~`=Rv28-?%fHE3ays9TL6wZ^@n4EH?pwmiZ;l!Ns>$egU$Xex&5i$Gm0*ll
zwF0lrmFExJkuh$F$2oIQ1<PKV3TU0P0>S#TV{t{AnAtnS?k=K)JzG!BJ^IfI?uo5*
zc)r#^&fk$=Ei4uAfcY^tkwGh%5k6w4`dl4-6V+8+*=2C)(tjs^4O>CSRo@P`i)v_e
zIW>dzhZvHHzpP(dte|Cg@5p8oRfJQOq9^2q@yH&#h2w=*Fw3HQwdAuh7VSA%t@@4^
z&6i@RE#6jOEJwP*wO0w3?CamO9%RGPR@*y$JXTP_uG1CYN5Xf7N5%z}7_fY0`{4_Z
zEMfk>UJ+&g#(aGT7u0^v(;uw!-Za`~38f0(^vj3k@I!V_Ma1MN-9wwD<okxMx&9kE
z!X_<)e*|7X9FFLw=emYo_!<F_U45oH@Q5T12=;1g<UOY=9$26;umb!a0096043~E}
z)o&Qa&Ev?P*?T*ObL{<ntc<KwDk7CM$cn5G{VFojK$6Ugh{}xeeG>{LB0D>ykQGY!
z`S<<fzTW4#uIK*Tw~hUUfG0n9qvC=+<vLGaW9Cd_!a=GSbdSWfzPrVTMApi~1;jeA
zn3P0!n!`pQ|DWh()>Axaq)NWB&bSBbqnWl}`p*!|6@6m;Jh{+a{rXlx`+n@p_p4FD
zRR%EpB4H~+nFC#oO2}H9?#HOta#!c(^<nG5_srID7L?jAe|7YJAEue)6MK)O58QQ{
z%m<c;=x)Tk-+Es+wyuBWl8B!kyo<0)e&I+!eQ(Ye<q$ftX=tE#d!-B6@k$Y++w`b<
zsJ-0u+eb|GVW$y=s0);pIV^UC7Tr*Z4S4sk9^(iLDs?@o1Dmxc)fALz5G8WkJmhT&
zcHp<b#Ip)*D5Djexo5D6bCOd{6!bFjPuL{)439R%?3<<Cf9o%f_T06U^s2*;$^X&q
zzo-StThC<AS+C>Pr)+wXdRuVc&#(0yhBQG%)%(qPw^e-Q+Cch>VJE&8J76VdtqIjx
z_A8GYR`ADXN>fNIeK=l({T8m#fY<veHnKs>c+GrmJL(+5Ik!XRWmGiagz$r14QH0{
z7j-AaZ`h9ELf$g31RkqH8oR%-Qu-pEM}IHwh5C0~t(McVUs8Q%8|2w0nnm2%*N${g
zVj5?v<QuflQG+W*j}EuoU%-v7pD{Wo_!CbkF?2p5qXx9U!h1wdF5pSWe@gPo%;Skx
z9^so$sUX*)8tLq`fG_mErMaEAfJ>j-8_J<cg*(LdbliUd&#XQ()Ni(gZ#QqU#MM(E
z@wl$7V%Y*7;d-{A?9Vb@`DVc1bw33-Zmm@@2`=Ju!&M7PO~3I&zJ~-EKdZt(_R$|s
zxr_MC70$M#k~O@Bw^U(lQw6Ab(LHH)OL(@gV}gIxAAH1}^R1P-3Zx{AoN5tW#zihz
z_LY3!z)xVzsd~O-c>M6t%QKuS_`Xt4=L<$#c$$`=OYI91_!Isnos|EL-*z-_&OJ$k
zx(X{d2mUI9zu`F}36E9$yST#=(>q$!z$YeOWvvVsBIiAVKdj*<)7&ppfF9ks)XWu_
zqXf2m4w4m4fAFodd^anG8IVVsz+200MNq%4taG1h13y~yu$CvEfG*fPDZb>P2pSPR
z>Tdu3;s0imZsp%1qRMCND_$K6AXbs!@KR_S_b3{VFD%}Lf>QRX$L~>q>lL9<C#q?X
zy+qx?ia)F<qO6F=yFnh#biC}(rKLkDi7!1$A~?_kxi{7Id*wl!)%0+=7d;x_bu60_
z<3eiWHD&K_a$p*w${qBF0k!0HTYSmlMp@xvvq52Uuy1`_h*&~E@gBLRF=o7|aL-hu
zoQxbuOtkrYO&}t#*vAF5ocze4tXhD1P!=YRrC7$M??S1E#c%j93ZQP6rrgy$S<w4f
zBf!$jijw*^=zhuzp-;iGBeIdQ(6J_?c-e*n@#*I>UkejK!(HNYI_G79Z8){({w61~
zyy;6POe2npqCHD(17$(QGvJ$5AUC@9coo0>O#<1hp$7IeSqP+KCq}dKB3qSO{&!AN
zXw~wleM6rt@SX8)IR1eTi4XrkLbK9{7_TII(pV1oq$mPog}YH?ErXL^rYvg9FcrPm
zDF+{I)BTEG3L*xbqVmeK^2kH<v*O28c}V`_6Y^_Z7_mf&YP_&hL?g9<_eE|ifMhC%
z3DrmpIeAELq+2SZL)Rn^7=KcPBKhmjFS|>iZT%l6ulJFW%-4rfM;w$vljFCXQ-vfd
z-6(QnI-!abkAL}kTbc}k88koUgr$+c{`aMQRTLy68>CWbrwZrpa9gI`l0kPZHncvK
zQ;{0)hBfaj1@^9An?J=Zhl<Y%nRR5Vp@QkyYJ(GMaPw(z#P&UTRJ7bn6!BL_qqgPi
zhj(d!<A=}h0>u<j{=7dYn~(+)ias=+HKqxb4e938`%38kD;2WxO%2qNym)obq&5sb
zFU)77Bcc72WzT=_G|<H*cHTKwJ?K^$@wsJ9Mh^8V9jebX5KF~j8(V7wFr=63JbzjR
z9j<>n%V45`auv7R4kj4^FDss)Zlj7`2bS%B7om<i78)P_JOMD|I6~H+Q$@R<k^oUa
zuD^q~+|^L$8sYfNd1I(N&GqJh1O+);yB~8}qM(n?q@F@o6R3<PWmk$*P~=y}4`Y{9
z(9*r3v#koIAV3nxWt&t*iTf_!5-U+crcc`2**=)Ui=xt3QkpyZAmf~#D~Fb1XO0PJ
zn?Zg<D!n^Z1;w1DXKB7Bg|>ES=Z*%Nf!UYgF48y&1>6)VieMH+HZgayBCeRhsAj11
zw}Z;)WmuGa%w<0G@REG)<I`sFH?jOgX{sU$5}I51<G_ZlR6_cQyczI{e-N%HlSfB6
zujJTT&>|(q2RClDn!=kmBmP}AvPi6(=fA5gv-r5{$QP2cDeNtMTC-X$jY1mjUpI8V
z$NnZ32q*WOz-igPz87CfBDcz9Igb1VEXJB5lj&#zbL8&~_u|D-!Qb91UoAJVm8*=k
ztnZCsnXq_myhRvY`x~3P{fHL6+{p^`(Km)^O{3!z`T{6qJW1a+o&mbg^VgWa1lY~G
zfMh3m(F`vgQ{i<2?2+JM(jo(hu7{ivZ{tEm(?XQg7ABy1Vn8_UjKLR&0pWn3Y{={Q
zs{i3gA{4J`^&CHC1Q!E4o~6GcqVLgMZKvN8;Y#dp-lT9t5ZdH%2YLqdU7YM4)<A^m
z`~Q^}JTQP)S==JJSGVzpjI)9>Nklk!>F{sG5Bl)AVaPmgWDQ>ym|->5CxW(7%%{_v
zdf***zv3FxB2N3e@ab|N6Ldd%<nl~k4@zz>i|Vw0$Js5Ic25U0fmf-)533kmxMpjm
zPltcSmpIB4l*E~!^gKgzdb<u3EXU*6<s4i`I;g;_hXC;;rh#2@I$%j!@~<gq!vx1L
zj?0e;@S5kYtyqlqj_(<^u<;CI$GE7|4ao#p9T`nHGob}T^q&hdA5UWPqjwp@(g{$i
z+ohjuqXo{G1_!;w9Co>Gh|2Pg0InNYrA>_{WV=59%on$a#m%cI*>W(!>CxDW9%N03
zOAlnL*}H;`a~eG=jbZ{5pUsq_M;dTv;|-ti#42W89z*ctBSO{*%~(2V4d{4U924mJ
z2m8kwsv6rtgf3klse_NyVb#xvO}2gm!-`Lpk}8;Cj(TV{oum%ClgOTp!dsYR=RWs{
zx4R%wdk@{0YBeC3@+oEO(m+0Qr~Ugi7U&8Pt0Y>h0XP?@1f8LUuG*@+Ye(2XKzQHY
z10z&WPrE*A_mB=8q;78dOtZrZ^8=sma4P(2WLuvYqK5+2nj<><IiXbHuihIGDm>SS
z75+eG1U0<*$~S8+IOJ?_&FmcoSUoPwo=YMCH&#{bdXyWMUq8BB<x7EZo6c1^1|q~M
zo=jwo;{nxsCkq3lD3Bjv{bBEIX7Imunf=fgUbszWR{vO~3j5E0{VZa@0-jSdmTz?V
zVe7)<y%b$l*jg|D)62jHq0w}6%{y1$^eptLLyHOwtgIcX{lyO7++)HCX9c0T%--se
zw+fs){d(qK6er{@JKp`NE(|jHB0Q6lD$w}y!5;SqTtGjt5%N(=6oM{~sBzDd;nT$5
zhj-h!fs?3S^IA(B4Ary_2Y({NcE;TyegR&{iRKB^u9kpiCw~9x4`j#_c0OVq#s^sf
z9#<KsCBgo6uSn+z8UESqFZ5dFholDco(LsrSV}whSxQg^zBPWl5S1tZdJSAAy^%7o
z5D=m79;5=s4p%Q2fDrt0m7^~jmxZ%cGx8aKR3IplgSx;j0#z=-+HalYfwtoL0n$@d
zXo|eG=K4nzGJn>z&vq$*JO3T4HggL6KK6bnZA%=6rtQ9cJ)#5;_Ki;%bx?r4OIq?Q
zyCfXXGCSQetPDBbzFO&_R49KQ?4GV51*hebneHAVgME3PNIR&({t5rkw!P9&se9*=
zbGr&S*>cc$DyYL>JWC6LWI(W4IG~M(0xPdLG*qb?5SBgg%qd3}`l~k59~V==en~HS
zmy0GO74>;!w8}x!)naWn5*2)k53$_M*8;w2hN6mjd8pmh8vOSL6&hy0Ecflwf$b<=
z+F%AnIH6$Iceb7i*Iit0ipJ@}Rs*fUKSm`mT=dQ!Y^6e=)0?#t0e#32elaomQwiQn
z^@{w?p+cPRC8nk425`Rd-QUs@W#D%ptB4p=A>>Ib>wOC&m@3P@$7MkR{-Y|K!UYrv
zI>+`>x&wol!>6xbE+K)jDDj-=3sq=T@3U{r1~?~?y6@>Q2}XnIUul%=<jBIP&nbJ1
zp=tCb$4oZ~<|cZJ5}cHw>p}5{fi7b>b$3lA^EL?%(hQMV>J%U)@X7Ny3lk7r)lWUf
zLxOsfYPZ1+SzzZ#cBFY=0{dewy`w*>3>|W1kD?W%LFyRW6WtCI2$nzi_Kd$040@IO
zwz^0FOa0}24O1qdR&v8n+*uKFH?K(Ub`l2h$%~Xbqb890KA>(%Q~_FIcu<%<KZppO
zbT58u0`=7APmVXrflk=(nCox2pssJ>#`|~^aR2e;htLsOP*}=|T61RsT88+-pQa{I
z>PCO-`lvLtKUf+%eT)HqKOa&ToHvH2vO^r_J*A+R{`%Vb&wrTJ(MLJNBx88MoVWdS
zUILO2yzmmIE@Pv0XQ#I1jDfZp_fnt{hppmH+uoK*EJnM^^Gz+lli^G%G7<q-x!#z&
zhrVJY?rxnxJAkRzU!J;U3j*;4EluQ+Ld@4LGNkY=2D`>p^$eAELnn8d>{!k_{L6c>
zRh?-gaNi&Cs$rNHE(N@*_!0O8C;nEgapX3FJ>Q>Ox7BmQ>Z$#m!`FN8b7<<Ukg*{g
zJ{$C7vXc`6lr#3esO`gBtK#lrK?Y!TNN2Z{EISB0wVLS{_2KFN0-8li^&xxL(owpN
zT`)WLIozqg2hW=?-D;oLgQh%@&?mA)2*7ArXsWvKRC;l*{Tg~;HHZ&h%w~j^_K7Dd
z8SS_aor+IPlrFq%d3M~vlOCE_9aJ|m-{Yb2e*0B+IQ66R#>gjsTBtM;?S7|RgLg$q
zHcRYq$}WT9?a#1nj0kN*QRX-CTj#yoC8M=r(e1!M<Mn^oi^mVk{;-u{nKc4m{*GwD
zlIZW#_1k~2u@DvBqpFRVt}UDhG1r1FJ-Jb)zBNpP>v_%R3+>qA2PSc^5>2p*y6<vk
z*D97;#I5kcz8ibGd~oB5uqIr{5~l{nuV6uw+BSO?2C;}ieF`yA1H!9U<o`RcjJew`
zZXeqo!2<o{w$9LL0Be2}`y00<%<1EQll4Exu^UopM~cGL;p+LVK=%Aaj7DKk*wEl4
z#_`ZOrEFad+~fSF$l{CGh0+E413fd?T9F;!*-$mm7jkI1*}8yb9Atc*H!_PoQxWB?
z+@wOC6;GqvqXmrcGA)yS`xoZd=y>w_RVp}rxfc{rxPUSLis;UJu!!|1`GtSvq(XfD
z?rrn03mB7mPSfeV%UDHCsY7rU1<2lp-{<8Pv8&;(tT@MSOmt&7<Pwzv3LGM_yqSv_
zK~}$YU~Ux)JKUD}I8hbydr~5&wU)3edW8dOKh`m0>8#_kbt;hC=Jr>7WeF=#xJ$jv
zyn*>Y=r3wqC4;DZ;lBB<Wo$e18GLfs#6}iAMrvx3;r*q6I-33!tg>5<HnedYbN`&4
zU=c=wD7K47!WmYvrW4HB*;=#^Lcf;E)uaqf9!_>^2iLHyzuyDpp3uP~ZGO=Tft~k>
zUq&(Q>)3%Sqn9$Y8Ng3=-s5<H65I&E8XjK!i!IUx_a^*ggp8BpzYccp^vZR?W%IrN
zu&u%S?H`+%AnMP|`S1FQVB2o=c4pre7T$AgJNOebl&YnehZZY9<-VJ21{O5XE0k0B
zhn^MAjR>@+$SOcu%o)wn7+N4zsGi{PWd|L%Uen<x@_;9fWHx=HgAbYUpC;ls!969a
zM_fZ5)*HMU4P6+(e9}F&af1sq`w!l>+wpz7dWkgNEk-z5Oqiuj=7Ij2mdrGt9Y5Mw
zdVjNd=YQ3*40o*fz}ug*^OU$8=sBhiXuoBKD=HDCH<Win<VWkK^TV>B%x5LvJ<S4h
z2~T?&bp?0$L3FKoE(@`GG^;*l>>!Fsyc7r$hH@6-Tuq8Bd=ZlD6ZYnWNvD}7FULe-
z_s6+f$6K<nqug!U#Rb2X42SehBp~H}VARZGSs;x68X7su100U?CVNUGfuQIpf2m&<
zy8Ux3g@}Bx#lrVdK}#AkM*h7nrpQ6)&CIK7J^auvFMNTqUj_mgG%tQGk%Nn?d%u~q
z2|zXkebr8v1H-H}r6p&1aJ!I5e{xm`nzY;*I0F=5GnieqUta+}x=ZvZs*8fzJ>U4K
z<4W*x!bNoXup+41et(^sD-JIPEw8;gK>|He?N#|2B}i_3+tMf^2_H_L7i;!W0T}{u
z`2J}UAnhX6nlLF~BjTU9jVMrI(8;QQRs~M~8n0TMmWHsOY9<O86^eyjRyj^mz_l?U
zn#V&Hcu?wpAJo*~a2<J~_bnAJjkkLGP04{7TSnmp4s~$z{nTLXs19GFMQ?U{D*$&=
zsVk{P9Uh#xpj*zP3BJE*^)AjT!bKT%#X%<x=-QZi|B_A{ZbbhGAK&2`GQ9eZp-=<f
z=ua@+7SIJQ`^gOBG7`AQ5)U?%YXC*;Y*nANKHP83Qpp=9Ls)?jjg+4Th`2LkX~Y}C
zd-toK^G8(xUvc7#?ox+p!(_p}_ZZ~eB>XeVQ3dYE#eSL*H3(!pi0@eixNNx<In1&%
z-<a$Dh*T<c%<T4-S~7<JMl=UJ#3<mFKe>CFmI9rzilcWvnSg2xO=mVE1>`MuNnSZg
zg1kZ}g3D!7$VirCpN>|AiX%K87cMBkLa*asD}x!B?z`KOo~HsCNhZ0L$7JAMg8r84
zVKYb$(aaSJCPRV63j2P?9UjJ>(rF4egOHdXiopaD1j`ll+?W&q=`jnR`vGQ9G;u9P
z$V~}qTbL|4>$!j<N^~Z}#0*GQa_x2T3V{D{sHQd$;6Y43$JZrO2x3Fs$1~+X`;RIk
zUFaHi@4$)uuWp!vlYESqTeb{1ta@zuwRK`^mmcVPahXE#-`yp3*-~(9csnK5dICSO
zqUfccXad`!9$}vfBw*5b^UH6(RlL*Vw9!d=6X1F*e!VeT6kN`oOmxxP#zh6$Y8Qid
zdgW2gDSSu}bQ0Q<V*k;hbkX%kgL44sGgw)sKR?vE_(qH!Wkh+GC(7kc18B@RXpw*i
zx+d*6kNhH_whcqFXbT1j#@XS1wmbY4`}Wv#gb7J+^4ec&H-Z+LtfT`PEU@}0S?8A%
z5j7R@d(4a)!l<mTaIQ507H-Wg@&*!77i&%Z{w)JoHUG-M+(!#D8HUCI`-v#2qGNEM
ztN|p>Zx2+y*uc!>vvcmV5RtR{)LttmeNfP=)`$OAFk4I{wYr1}Ssvp4dLvm6<PNp=
zAEeA;3>jHlYI~Vb&fKeck4|0qA@0|4ymADy<1i=L%n}g6CsbKgOcw;sLXc)pGxmPT
z+qdjK0i829zvJMi0}ST2eoW6Q@O6*D-;AyVL{t0chDozFIB1rKp>JPt;jsogBOL;g
zv_E(4mV!1MKFm;}eP|39lUsD;p%9P(J%iU^q88|>_wfB=o54+f-<YtlAfO?wAEuq_
zny{Qc(dtY2h35;%n#@HJ(7R9ZWtwL-AtUss&XD&Kt~R0fGJSx69Hj?OcMNGjk&r9z
zWv<_NGpnjbiVG9klK)$C`G^KAa+AEvZ>{0aw=8NmX^6;1IzCOYPaQ^8%O8@~|KJ6U
zzbz*|5>a)NOz~@1b(jtLr`Tfm52tUP-{par(RIScqQ;aOOtH9XRX*IplZf^H<%7GB
z{BzaoX+dhxly+jpAcO|(X;UU>OS2-MPge$(iE3aJw{U>vF)bRZD@%<|VMA*!t7MOz
zobDj1K9n>_hjwu}D4){gKz&C-o!NK%Np9+)-AQo<M0LGI6B@&bzV4k|lNqDH-Q<Tu
zv;mAr@%ZdMgDYH!zvImN=^GSacF|62=^>ztvmY7F9&#hcZ)bv^>Qdm^;{;#U14PuX
zVx_mz#e;6{%L_^WrV8t`!GBnOFe7IEquR|1d}wP!Ehh1xD(vn^av^52AeKtia)%6l
z#9Wm!Y&*Eq*Q{tPjr`b9`024D5-I{nVS!DIbU_6Ub;ZR`dvc(j^i#th#spFNoBl%;
z!Yc68Tya3Go)htg|5<9N5k`8G-jT0*$iO-_FH!NG3pL-&*gR1sit?m%haC&a@MM;#
z_fDJ#9gu$ZxS&rQc`mwNnY&E}>myzX@BDd@c|o`DZZ1jmI$&3yZ5kOIr5x#azwse1
z7v}UZODRO1yw{oXiVW{|honuN*o`D-x)V}vOQVh2Bo~WKGT>UliRui3h{2S}Ab4H|
zkwlXsO*~cL+Nx$w+FK#Cb$84)%2^Ic86G+KW?cn(s`HB>Lj>8m1sAGy$)g{4o^hzZ
zQU!nF8@tA2F_f@zv3b{FMHKSmO`Nn71scb0?TK`dKt^W07G|SL=okOUQJbF>cwcTC
zKII{ajLzkom7FCZn(!DllZQL}i7Ea{`=1n&yw~zMdWMW_&h?$1^izY9Ys96iMbgMO
z=QoelAyrghrr>qYLmi6u-Ap{wD}#Du#C#U^Q_w(-pz>0v28^4XoM<G-p{E~Y&pJ#|
z&_O+=$cX2fP)uTluT*)o*|aBjz>SJ5Gd@4@AZSC#9=4M+`xTJJ@zTuWWmL3D2+EKT
z*~!~E_rAt>Dx&JjQJTJQRJ32R_1|$CJz(+r_ax+m5}FcnEtu<}BE9?iFP^9ALy4Po
zxgIDZGKYL&{sStaBs91;X&8c8`%EHvT^XGll<Q(pq#_}-VpIFk2*___%|xz{P=op%
z&7w;bbhl-;u}u+xq5OzTRX+(;Rx>ZUX{e&;U4%!OLjcb%lrZrAB_Z+paft|aGE&uv
z&SZ`<1`9`v2H_zRGTXg)z3QG4>XNu!CQC2@FR#hM!K)-xymgBud0HMd-FhQo=4S$3
zv>}(DEh(e*x@J#Pepz%)-dz`JO#n-cO%zv9MkUXz_+RTup~s}H+WV6xV7H=WgDWec
zN{=h|cn8E#u6F(HQ_Ch0X{9Cfj6o6kf9~6Gz9xuR3f^63oG^h?TPwyQweqMzkVUmM
zjTa^O*XQ@_=r20ib2cB6LzC$jw@l?Y(JQeQrPfFjXcHBF5Hv1>5;1)eUnCK^ke%ph
zs3tHu{=_-dQyTqpYF7^aM2lF+H7A3*jbU%3-RE=DlIVKe7-r(Nj)$)perpRb23Css
z*YCa(D8@6oPdQ^A9}VC9L18uqowgimKZ6)5Tk=2nQGNs$nCG`tdjOD}>mJ%@DUA5P
z+Fy8zHQ-@Pf2_Ze0SZFxn`K`LpntW6T)uy+F*%K%h2SU*6vkYgQ_T6%XA=v#UnLz_
zOyUep*CQi{sV^~{W8_7nL6RRrnEJ4OedfA-?S>F5+ba{d!i6+k@)ZqPzF|D7$;7E`
z12Bz@`y0>2iEjU-3(oZ%!t!J+e~4=uz)Tn$m{hZ(d<edHw&WX@SN6fiz)v68hSx)U
zA2Fj&3e61-_W|rb+ly@$FZ4jAZ|>&#NdkJvSyo4!=)vqP$ULNVT^I@Bdh2+R0dZe#
z;Brpt#P$go?yWP^g|!%7nfLZ|2wFVS3d}xX&)K~{eMr@T5}7$wI8TEDv=7Q1DyYYj
zhr2Sl=C#2l`lsWu+ne}2kB`KC=Mrq(!8hN{S{tr3O&Z$2{)=B)drx=0DiaSYkI)J!
z(t_UX1Ee3e>$p*2S!oot4&P<Y6QsnY1-lD!H%=L@;*aU97@h~U;4!m)6XxNX@DeO?
zo<*<VL0l{urXyc)(U&t<vt~5FEbp$HANMj283ekIVZAuz!S@2rqZ-gJAhTO>dJ&%u
zuk`R@9m21M=%iizq7KKc?-YsuTfp(R*;?G6Msd$O^%^g2)Zx+nzS&cj3;4q2|AwBY
zOyItn;W<xQ)F9cEVJ`RPFPuXd7kuq8g^S!7nKZOfgE+}MG*dt4@q159v-7YY`17fk
z6>c3=P~l-^5Pvw2*Jy|Yhmz*-m{;~%t4F9XVY>QEDtjK^y$*}B0t@)_l(^ZY?-cNK
zJJUv(o5w}5N-LkDMf{?-OsRPg1)9-H*skbb_@CRaK3?0mj33Ned^yTQfdEad?t0P!
zzSN=Vt;O*h{}gs^f2h7H$lDtYdDkr9L4oAZSJSKb>|ocA%=0R+7owQd&Mx9KJc;g!
zW9#@lyV98aV>0xbw8!h}F5x1-Jne&NH*g6__FUfYBnTp3{wb!sjF-j9dnZ_L;z_wh
zdS{hLp!4hM>^!!D*WD30s{d{qkKNdRSN)<gWQEK3%7*^NX{5)_6zR~S!w)RJ$A3_Q
zg{_+TlHOIEkI3(r{EQCus$B?4l~jUwc8vbJ`#SzV00030{|uLRAk}Xa#_jAqlRd6`
zFL&50-(!TLGD1jXWD^R}v{i&3k`f_WB2p^3Z$?CtSrnoudu5dM^Z)tdJ?A~=d7e*h
zR*B~$V<z-t?!WH%%XnyU)+b~N{-gD)cShXVVn!$pe<<&_611K8>$<VBPRnaCGO!!n
zg={;1sHi(AL44gkx?YYgn#8*#A@(IU<bL#n+sk$wXsdagx=*A-i*0XSAJE`L!M}AE
zURdJbxMar(zF>MJv-~V)y^I@O6+CbItw#~qKPF9~E(VmK#h#%2lo!o(ysG$jQW4su
z+=jCqnUI_j%gjF_KRP-XXD7_02yy$3TWVNXkfByly;G|ID%}6Y->*yoK9uf@%oyB-
z+H|#J+^!3uhxh4mr#%(G6uTwfJHm#fw<te#E{LEs>Hf=G1O=F9klKA(gcG$$Khu`V
z6+;1r#f4->1$cj@s{c+5HyR38ncX`sj>gPi58s%R2YsKjB47XGMXAgQD!E>g==GO7
zT1HFqz)BeXm&eSHa+-rKhNeg(wY*auO?(QlTNi(NFh>A2Bx|k8Fv+6&dygJE99DoS
zcXO4l!#nT0Z0QnvLk?XDjxzpQp#Xd49>t|8i=a8$$I>D*1$3Rg>DQc|B9yLOAN)-b
zLvE%=HERTLNYd7%W_3joHa_3sHaISh4qHqz_xx2tIGS^>zyuE99jk;@wFLSm_)sr(
zg@CpXwUzPg#skN6Lhr_IY1BL^pm~c)1?}N2zpIu(fZI>n(}RO$P`0_P#<4wQR595f
zzwD?C&JSx>6Z>RQ-9KK&7dI*Bbe;RPb7x7gAl1kF@t{2V%bAcWdxwgeY$lCYqbWeu
z^_R}*R6vXh2C*v{s;DTj_9He!g_oK&dC!mG5L5THc%~pVG{W@XiNbU>hzmTo8T(ra
zjm4J{^5oRfC7~O;r@S>lvzR)V7C=DsoP76KOVyF)@}H%7e=V>Suk~pgA|l_EFSWK)
z>c~OX?(Sli4zLUL1U*$#K_7Jr!cYHHM~(Gy5~Kk=2u+Kn)*mM!ZFWE7=Sk|QHDc@5
zcO?UejBPwcvLz#PAK^CRE;Y0g@!?2-768WWvD=M-f^7LDtF9nbH0Y<`bJW5R^vbyx
zLe(kgr3q7}q9Yag9F(lI*=Gde<BTT5dKA=fCif(l6&c;<;LG$9H-_cD=~EYkDaf(B
z=DgW?B65j66<*k63{TPu(;||{=z2g#a<L~4$vVvaX248<hv~NC{!|hQ4S6cHtR{!<
zqy)|l$D6=4T_%gOrYh*pu9uGrNRntadfw;vEfW}C8wk*?C8EhCr5B~X!bs~(?2r7N
z`krdBhOrGiI`Y(YdAfufeJZ^$aAm&<q;>G84hSouA-d_S!SW2~{;NN9dUM7g&>4O+
zNK_Hc%Q?Cy)X&iLig?cZUoZyUCF@Eq9(m-Gvpa(*-i)a}du?%O%Loi8J@0c^cJ{$m
z=zO-?0=D3_DIj*n2&^7SM(kpfMyF!|*X_1}B@#m{JAN60*%$h@B>g=|_s<F4-98ME
z|18I5uahD0?y2wz&JjhYe>$kpMKD7PZxjf203=or^F~yJ(5^XYRi}(yz)=&fDPj%~
zDS2(Xk)9uoUZ_him|}(TfVcj)uVFAVukj&QnHzP$g`(LfY_LX1@(#>2fFQd-D%)pP
zbP(ILa${fzN`|)X*V4V9|4o*VzRidjj8x17SlGcx<f~2LJAKHMZI7RZZJN7so9opc
zHdwUBcr@nqfYoRfi}75gX<WW7ZxPD|X`lC1ewWjO6?K#J=SSyhKW4jfF3GWhu*u@h
zaW`GCnT^4bgn!a1G8BC(>scZ6$-3{g5*@Hs>iJVu*hzCSG9|hDvqFVM#|?!)+R$Pb
ztwbdiV{6i<Oz$YLf+lX}sOWxec;%xMIGo*s{d{{~`SR*6AWvDx4i{^|@6M>=D*sU|
zMN{~{J7c>5=Yb`&@6v+tOnjP7(*#yGO$c#a+64ib`JVd0n&5ZFNcfH3JhpT%z4eeB
zD;$GFM#7*5xatph{y4mZ*-kM^I7YC-CveZovC@E#c(3Vu$}3n#iO)g01y(RIbot}_
zULBO>*<&(>*08s&s;%+qY_P8N_Mn}aI=tB2{B97kj@eBbdvQ9kLzvMe@z7Q^h*x@|
z=rXs7t<H{7t1LLck^fitBO5h1d*@7uFO?47>-U|1=*<bA?uNZ%{;mq9yg{#g{OF;h
z_<W0TITu8k^fsl1szUV3%Z{rh44@%$(RWjh2Vz87$GzEA!EjPAS#pXIHcl0*HF@v?
zS4$dWRVfu%j>y|S)n$hJk9EAK4)Q@UH8!O502Q)v=XD%zvOrk2rd^yhKdjg_A5C7O
z0H0}Na~3-*7~AtT*98lJ&fx<8vO)@2rV4g{+39nv!CP(gfgmuqo|}m}N&%5ocidT3
z4!Fh=owA=^7}8rcxr2l#U>nQq^mdLDr087poFhaaCoPPq@r(@j6>9zFKXAi?8#V5i
zxWvH9L!i>-5E-Jr)&0DEk{6`Q=|=dQc7vi{NZ-sq5`2`;lNve82lY3M(+=hD0k50x
z<FwZ#C_Hd8<-=WmsE`W0qLn8JfAroktY(nlv8Yy9->?8&)h*GgbCm{rQ)wsWSQ5Cu
zN;&SLAq1JiabZfaGO$}R@$l1B5|oG4mfR{528#n7efc%A@CNKlL|>9XzuAPELlgx$
z8K>K4x8=ZhA2F(enG6dQnJNB{VsQWTJ+&x%1qk%q_Jl|>L=&C-1Fnig-{9r4^4E$W
zDZS|K&rX3+^v^oULjq`>LxX0@N<h!~xVt}?0;phH^`V^<9N6Ph=247?7;pZH|7I!h
zIBTF#u|gUuPX05Slq7;mRM|vD5)}s9U-d^L8K~4V^Kr{k1~X0f$0DE#G2!0D%mcD8
zCEok<{k96!-?X`6C9DQUW!;#?KRGy<v!^=m2pNu76!2Sds>6}E03{(w1t{v`H1s#2
zz|-KUDNR`oxa!~(=whe{zoOnn2(?gPM$qmihr`ajXh!Socf~<>=52*q5*4<OU;Pwz
zUkhqRJ;%tQN-!jS<Ze|66_~j32I2fVK%@1}RE6Q8eKY6Ry(?5uU#28mUDpMkx>F|?
zjuF6S5A!qe(^O~;J-Zepq7N~BB9#q_L>Tkps23nm!BfyCF5~WA_#9t&Os16xE4=f*
z*$*jT!c-zblEZeybVVW=l)=vWsgld|&fL8Yh+o*z!(5qfbK!Byz<l7duB$W&mTgsn
zN9F*Y9B_TmldcToez&=OHi<xF=gZHDF@&UErGAH#%21rQ?vkB}hvg+q`q+jc7_6QO
zr_n1z-UPX>`kx|jxY}NpbTR^|ZRhG=UPLfDJ=vdbDi4C&oJ5mcBe-ZGZd{Q~fIGDF
z0%F%?plNZ=^l7aT2z!o*)ZE0wL4(WtmAfTC=dy5QS-laAdpet}olyej(m|(-pG09<
z+<dI~i4k~N>*!mk;b8p21T{rf5S(vPW4mLGfbNiq=Ul%6_~&)p`_9P=dSAVQCU$(5
zr?6L@KU5w<`(B!&9#+WTm6u+<W(dI_*ZTt*<)Fmx;>+0E3}DJ|c5*o15Ndh?*0wTb
zU{lT|qQCbaHhedguExL+$niZ2J<8IMEZz{ua$*rP=h{0g@&$mEL$7TzUjmpIEsYNz
z|Al2XWPCpw1i%}h*Ggj&hh{M`QEROMtn)n^t34yYpDNrL*;G*&j9v)ogLjzSSof1z
z3I+k$v`4xi47}4ODd<NW=1|kh8RudE0nr7;SrUSv{7ctt=;sTXtejYXPs&~pOBAy3
z#PP$ck<o<q@p>A5PgGxPy*_AOddK(5g%_~1%MUo(8fh|8Gd%MfdLU#jtCoI|3lcIK
z*f=WcX@;LFD9QSIpqpg<m6*d0qe7<!a@JnaXpSZ|4=?M2<SBcbqx7thQgL9(?Nup_
ze#XXm{|6nA+$(Mp_na9PTUebZ7jrSz+lH#9dvw4(2s`_#k`Xj3wZ-d(Ut^`wHDM7U
z+E9OWwyuAk9(?9i%6YusV;*B=5l`B*fUoSwG2~ANUGwYq;dNcu!v~I!UlX(-e|E3b
zSN$!FF^$AzwfzPATutK$N!8rxSA|J~bptD*e^oB#HH<l#*u@pCXaIpb**%By594o^
zU!7bW#g2-LmJvNPfOPH(C#`G^EBrNEQe-fWCHG9TjCZSp>+dJ|GLfs;`*~;5V%7xa
ztl0Rk(p(+pdldDzlU6Wmu}i}n|E94^Jhj!~Z`GiBdHuEPz%up;7aa9QdmiJ_tNANx
zpau^fSq}4gFJmuc7|v>LFJOGZ$_sIIs_^@ke^Cix853&sE?Ded!s_Bec^(+4g08+w
zy`Ri7cE-CaB>2@bwt760F`|_U?PMDTSMz0z^1N9p?fEJ;bj=g}u%m)DK4y-Rw~Rd}
zCyQo&_=}D1DZcaTCj~NEa5+@T6>JcH<QE_P2KKJu#ElCP6nJ95a`tfR3YMUk{A~H?
z78X1adHX&W1&06j@blbV-I=?g+uHy-7<t|)*|Xy#!x!Fa#}}?)+Y8Qx#726^PTN(T
zlS~4Y{99nt@fTB-Y88E{!3aHSj3?f-sX)Kcr+s&n*0C=^M`ZIFnV{pc|6HJu3b<g7
z7lkV}uq_7jHKWrkFfQKkacoB~4iT>0n)2Sla@Yszt<70MmVWY0DB95}rJPtFJRQv9
zEu$+;*x~K@O}a=~B6!|D8NH=L4>v<QwUYxm;f^VXYG?`pD%d|pXL>V0a7a*~MKd>0
z?#?!?(-Yu=@||P*pD_aAR*s(iBVPEtxYw=g5*`%7oop}2G6NHfz_1N3KQy*63JkL2
zA@kOr(Y|LaAgDlJu9YPKT;>s_YIl_&ILd@uJBSq$H!rik))#_Y0zU_CpAzUtV7~9H
z*<t!=iPJqc5%_KMZRNlk4y>?awxjNx&@Ju!uyIQiYFDp+y;O?>;={^nnS0z&u~D8l
zASn)HiwriVOdNRYJ(iG5<%RS8ihVHw63~Yqm<qp)0}dw>Uy*S>_^8Yo#y2Si?IG{h
z=M!<je}gUR#4!QTtT)rFw3Gq!@O^EZk8qHPIA<pp1)-)_L8Rx6EL<Fz-@QDGgWn!+
z8!kQ)hRXGdfOvCx=y-6&J@}{+NEcs;ewHW-&7ZEblBN}4;AVZ;$g~n<-PE|yn6w)z
z%pDReN^x+|F=zTvB_76AeLTI(_kj8AGkRhK9wcwFa~voqz~|i1kz4DMz_h-uk>fyw
zY&t1w*CY`<{IcJwJ(q_0(LJ?sMk=sBJXcjLKm|VA-+$P&Ed#}uiiFC@WDunfuE6P%
zVcN3&%#EXRFn&tuf$S9uWcq9eJT9Zax^sV1{Tq4MB*)>7@AzX=nbH^ANh&ODF-z$Z
z72%CT2F`AuDlEhZ5l$XagCa%Uio3UP@TBUzU(ALooF1TV+?Y~_j{^5hHCXYm@&4>C
zr)z3pmmN*?D$@jo#O0TbJ_Ha+u07W|p$6w9d}`w}wP6=mfmCM|5iqgBn?!bXNRbyA
zjmgo4{}@IN^b9EjI2rRY{!{~*!v~wMmFWX7yMAfSkP7_jPfR#}N)4Wx-$0d(2Jomr
ztn<?S9j>jZeRBS>DpY4hq*|N=uzD=jC#Xt>Q;J<mw{B8F*nHPFYez%q_&DJ!9Y%(8
z#x2JR4JeTFJj&Kq)d-lsF~$G%B7=699Np(bDiBD?;ypZJ1VPSg>R)$}A@e}-`fM{E
z)ZL!7P$P{&)@<31*NL>lF@9}dxD-K)>yAmtS7Xo!Tz)KZLIupqaMLHvWT7MW_TnLa
z6A;Rrt9UQ33=e|29-662z%9a0)fbW`a279r$#LhOhmITGwlEO}^~OZiRwffTmntDr
z#fgV&QTMDCfAK*3u~>GMR%76Ewr>mBkAs<J-Ns}Z6TJUUmfnBH7(yej@NkAIz~_)9
z#@M4P*iGw!#ao;^+`1G#DxDz*aa>+e7tZx#?`#TGN!do=ae&u#tx5(O#U$fhtOsb3
zWPw0E5hFO`<5UoWq<}CP+3~$;o@V#_C6P7L5PA=8-OJS51Ki%FjN8d;wBBxJlR+Ls
z$S)@DuKOVh64QEpO?q22`K5NhJt+VMQgh{aBm@dWoXZWn=~1rR<>&5P0H@Oj!LpYh
zimx%+Y<e-ElCLakZaaDD$DJw@V+CG#B^UalQh^b*X<-+|H4H$Bt1J7e8wUjTax;*k
z8ByBr!iTO_dx14r?yJNk3+(q-_h^b?L=W7x&dQ$Ahf(6FMARq)@Z0`N6+Oa;wrlm-
z_>1(waNnxK^@J_#y+E4GMFvJxlI<V%tX~%xR7O7-vaey?OK)pa@)(d*RL;tIQC(nT
zolj?kMeIQK)1(3_1ERgZUom`K2PjkR&!S0_Sdg^n4YwA0^u*M(-s-V7On#}iDA@Xr
zJsryRH}IuL7cs^#TRLsPvIkGK=67Pd+T^&0#puzC&wRNNPFfJaTf}#Ud>^A0jc!E^
z(V@=L<3`S}G~vwIKI2r8#vN{Lh$p|IL#}4W3?52pg6SKXSA_On+P^-*5aV(><Zmud
zkhr1&EZa_P5<1^$65jN;-Dq?u>b@;C@~=9usS32E3XRd6np#U6rs&Xa=i430f$HGj
zMR+HcF+sDpb2InQphr(dPL<)u)u7PHkBD!Wp?O@-^5@N?N8yJf9%*@~fg8*pcsn>x
zyD;+gM4B7}G8<)3y!BHR^7kg&X}w#dX^JLtR=#IIA>89(Mt-Uw#U`z}Sonu_`*qpk
z@iay>f#<v{`-cjmt;Leg(JQphr4Q@(BbiX|p&k#d7%KGZTHbfHU!#567!2x-Wk!yU
zILlZ;>P~VVH%QX`M_arbTJ2TEf?jS<5_um{;E_S?7#C@S_Q~1VM3Rjay?4!hIk%4j
zq4HPx=QOuy;`TK&9Eofwh2M85vXu-(u20pMRp=0n{X~5tnF9@u2HR-xlYzb~M{1W9
zJ(9{jn5@Ihg<_U^g-&~rK$yh!?pHhmI@YoJRFs1UJtH1)c~YmcbGJD!*t!_eRk1Xr
zQOJwNq{WX!%d3Eg5_QN`iy6r`XtB5t@S#2FE<>3++#~)u{PkQ73raRGQrjd8p!^e5
z+#tU)G}TQE_d2p7|CF)+`0fcJJ%b!huRJ1*`gQi2OR%F{z32?2CyeGz%frJoiEv5d
zk5n!TCmNb~eqMV;1Qpxo6r>CjAju=EU0sYDm50h2m-LCDkBnNDmvRYEuG@OiQkfSO
zSf62*9TrC~n`#?<eF+e!RR0d|$%n@A&&XMPk_cB)7uI-)0O>h5+}Eo4(JAd_jSpJV
z$b|7wUdTZL>@JgwIV~rMWSg>j<j%_=e(t=?h8-OjG9BtOdLo26MlfmSep$4|Hgr6p
zm;l)$<E}#vBB<u)o12Oj@@NZ324-d=JTOnZeo00QS!!v|WOpf``o;l%j_X9AS8-@%
z;1oxtr%(P(4#Xk8G3jdqX3B8N((z!8hy;?2UoMjn!=w7bu~)k_RN#5CIl@e&Q1zBM
zvuGy)$qO-2tB#T2Gu2*Hu|*o$&PWK~y{?R^`A(!~G?Jka`#@i{A%kw^9)GxHNkS*j
zu>MtkNrAmbQu@30%Au^ug};v5WOP_^f#q~H6%@H9x2u!n5nV&c+QD`TYELKM{QgB1
z?&@xJruHi!&B{eZ?IbFC5U%V?kXMITF0tolh&aT3uQJF`NfmwN4;RnO)`017?|qJu
zN~lrutVevYD&oF0b}d>(3xt$*J)wVzM{NqR8~sbF=%v+h{L&9?Q1s;PA&n7G7HnIE
zbE%;)e7Im_r7mpv2sD0PBBHxI{2@&fs^~kNard`Web5R}SGxXH8I8=eyV%C6qJ$SK
zT^9okpp@gBJI8-2h(%_brTQ}!xzt>d3YG-8FTpI>%11(~v%#E3zbS~(@Myfz8h{$<
ziU-Y#gv1j>941bakwTS6wPLLyP;bxauOA>GvC4e?Tjk2=2I&~zaStO{+s~$_yrqH!
zjNBcL=i<=_Ei3olZzG6mNJyXbQ$fd6iefL?Dk8sk;Q7?t7=9%EFng1!jJW9i|In?=
zqBl4G)%(U6L&DZN?ek?K3NW%gZs#h6W>@>(4rd!futR*;O<e*~otHbcDk_G4`F_B*
zlXm>esNnQ?ixMi8t_Xd0Pyj_9`n-?d#TZQZTvB|sa3~I&v#-(QM8fv#{bW&NID7M6
z=g%|+L=qOv3ElCL<K>i(<uoH`IvZ<|JuHWI%Nfny|FJ^j*6>Sue$)uk9kOd1lx0zP
zomp9_<xkrDMAOsJUxv`0KYS_Zk~E?d;Myyt8-*49%cn?&7y=vbC0^%x36yN>N4Kc+
z9ZUbFR+F*{@ZX1P28ZtNMh3Z+oUTWvF~00Ok~hu+d{@pA-1kZZ5$bODyt%fB*>isq
zUtt13*R2O^HU-g*gTxP(Da)AI+`^Fx2@G1Jlh!>>^P@N9M-!yrRqSKVbLt;01IRvR
zwV5N$i^e-If6EVA!>oDCV-g+rg2kP;hQP>)YNlOF+0YtR?P^GeV)Q|FJWq>HnH3RQ
z<1cPqU&F5dzTjC<r3VjpJM)XZU_!}zYi`_QT*HF=HIi1QbRqH3+2;j!=+Q**FD+l4
zRm{4`swjl03*kwh+K$(3(%i({1RD0QVEQYfn@>Y@z*RuI8+ESHQU+5pd3N~etAt&c
zZJjo-DxR=C82yK4Vk`K_(fAK`uH=d2A6{*cNnhEbE1joFhBZwIn=N4rC$;g~zFP2%
z$uTT4b&{s@=n?xT=S8gS!SiQr?=-=ANLX$u?<cLLWG?Vo;sT~>NQ&~nYXbL0pVj8(
zA)3YbJ4~!&9$TTa$*)b*fDftsysa6%v{$aK_G9YvnAgmV*zFB<2vTepQyXigZD>!#
ze?BvZO->O9+XK`guQ0nIf&L|}-CB!3sBsqaroXT%H=+iY?lv^16nkKnF&Rv$_OsZY
zqAxXP9Mxc2?M#Ph#tY14bbob%@+@}iThQ#CUR5YjZX{6f@323y?}yAyXR&TavhGDY
zRd}pGQ*bNl!1$H*9PSs*Vuv(F6aRjpg3mQuqkC#Sn7gBANt($VmLaW|zvN1Vu&pdF
zdaEy3)-AS+Hw5P~AC6z2>?SEd?rAl))%}L4Bqsh~doYh_N6FQ)M^fO*fIX(m@E!Yl
z0=gC57O-{MXu>ut1vWJ+s!k4%VB>mGA85LZ*o{1sZR4H%FTCs_Zc+OK>%?r(U!5iF
zarR0?iw_Cz-YR>{UND9&jPF&nbNz$0c#p}1=BWU|JMdUw`Y-H8MUP$e<7I5~C6!zG
zi!x+HnR0DpPhhI+8&|yLSFx06?Z9zSWoWT=^AvwEg(a$+jN#v}VRAiExEroSu-Vk}
zQ&^k96ug@6s^0mB4aY?k=sw=@i--_@L&`jMiDjuyt8@e7J*x7wXA2L`J_}{8(F<6y
zB*I7h-ojpN?dl70zynXD`q%F7i<n6beZ6ZH9V}(Dlqx+}f_+wo70RA}ut=p*R4c#$
zRp%n|#l@9i_1g-G#I}MRX^#1EG=~wSW<1QI6L6q2U}5{Mdll>JlfIg6!VIR-;+;ur
ziZFRhlq;d-FJ|`ZFDAWb7qsdb8Qu(01n&NSGM}c_u{3Sb6e&42XxQDXC$^{nAMfgn
z(~P#TBX9pR=Q+*+`=ygI)1wsN!R_oGcV9XH9Dn=gPA;G~WodrQp#Xffk1T(DqK8wj
zbl!{^^1=$Q<oUfN^6>lH+6cchBOK}wZ|kb%1N@hED^m-3h<cLP<Hf-Y@e&FT>vwom
zT6tuZVM7iQ9BaF>##q3&Z0Xs8yby@HKV)5cDF?iN4TOqjSb+kmOh{A&KEIoc8BdS{
z->g+qH;w~1s3BO9o*0Z<j_7lG$$>RDweWEc7gXd7gz%+{!(m4y0|o~<2xv8-i;(4o
z@#`f|-1kU=@#NU#FIPD@u#a?+mcs{LHRJZSr=)>?imfmtRt_p{kG_0N6@ZbJ;5dzW
z8PE(Z;NEPKgZTW`!KyhyFcftVc#$dxPrj7&7c0xdFY<>PLa#8~5?$LXVW|KwJ{#m%
z@9^is84*w1Pf=)$J=5QX!$HtGV`bw71wefJjqG-Ker!QyK|~r48Yf#W<wPpNyX<-C
zH*pdW8YJpmKqbPGV4e`U3I~FDrbaXlX^2p=`77g~0!q`Is|i|oAS&#3sr8cq`~U6+
z_9c-)<*<Rs6gLq#{>Hvv7?g#{n&p!lgA`Ej7Of50;c3S1Pixce^3d<Yd<?g+lSd`P
z1q=qr@TjePW@cFdltRcslYdlU#zgG;-XJRM-LL8LARPxT1R>9(Lu$ZfSA*N7s0I@U
z3Qh=;@o<=-k>h=VI&?%8LZW~Me9D==yRV4=(kHD%kCHUNTr%@xnyMCDuc@hu+OG_s
zc(mU&Mry#Z&M(Q^Q94i^ta!z`Tm|yjvMDv88t^{=009604Ayr%)?X9{a5F1=@A;Sy
z9@|4a$I2chqs*)Z+8G&9NK!`1h|DM?$qx;Euk6SQWp7#8Q6WG7-ha+H_jT{*yg3E@
zD>TQoVeyWDqrtoa>=@HWpJr8qmwB~5qQ`V$wTNudXI>F#1r*O{TB$;&8|^(;XMkn*
zTcgBd1UO~&(EG8p3Mi-XakbpkgY^;$wZJF>j8;^W8Vi*`6|*D_$LPa5d(t(zI096<
zadugjDnigtX|wk}22dBt;>qq#fRY@W-McAru&aG5bb!kcYVYFjX&fSe3mdIgg_;zE
zUde3SNiqakd%up&Jq1{Gh&HkQBnI|d3365ahVcAtb5nhmJlGe_Fb($#K;2Xov+WN<
z=zhr3V)0uJIHtLpn_qH(Jf&Q%QmY}vq<SrD3dq9wIoGxCY4l*D-9y=S+YkuvzOhO2
zN&~rReE&_S9ny=>YlCURh9Fca&=c|x2j#fNJm~KuZB~#O^E@*E@8IE$8-wCtQInp0
zk!2o>U*rm=6EFarMV@c!TT!63kh_l`{);(Lm5J`e>BFvhRk@ahFcfOVHDMbRXfGp8
zmw#Ii<ZV4>@izQW;dE%RfQbf4mKd%b@zR3}8rs`f95*yIMt?8=ONTJev2Xjm0Jq~S
z-y=#6*tdEX@nnqwB@c7Q(3k_fXWD9eg0a8_&Iw*&X-0HgNiN>+0SUxk(DpCgWB{ih
zMJ`G0jHoP`%cAL_E+lN({)wSI1RZ<aHbIA&kZJwdcT9ykpu4=}{+NRtQmAJw(H0{j
z9?fp9Z#V+KqXaf?Y5gG~O}Sr|HH_$ZYhJSWiZ<lUm{GH<u95yY3Q50rXGCsD-1?Y=
zHr(gjx>Q6xP1^kHoh3|uP<J-(xxc3t#MVUM>>jm~B7c)v_7omQSD*IOKPw@^rSX?R
zc`<bujl9S-uk&GK`}IwN_O2$>;MA$TFOFbU@@Bj((udKh^R^G}p3nr3_uKd%lyjH_
zAR&zHFe0O1tD&safbrQ<e23a9_RXN(+(YOvni?v2q0XlPhJ$kH)O4HJtC6(r4XeZG
zBcW@xF-9G}YmKL~#cyNlZ~ZzZ5BlM)j-o#QM-3Lv_D>je{KdTgI?vJ`+~>(dX{O7U
z)xbglZ(2XHhn1A7l#G65L}!?Vj1*T@fw3SbrQ4GXJ!Qgz^Gle}_`UTbyw_C0wY9D2
zcN;l+sgfBMR?dtVh^k6Odn)kL@XY&JJSA#Z*k*3M%!0gCdW<LIRp5A>V;8zdg_I1&
z=njjsA~&bW+zC+?uwkf<u>47l&RkOd@p_3B{V@NW`uT%0DBrDDC$~R%H`Ts313TH!
zJWk!A+eH~1E;3ZneWpcyYq4eW?d(X=^5F=PS{WJ=22&j^=@AjP6I3(BfnFFFn4Wy2
z1YvVQ-lbCv$ig9JjDedAF@%!BQ_m`aF?r=)Y9b@bj2t9Np5aDGU5iYYaY|qn;Iewh
zff)(CRqv+h<3S>n&VIoQ1n_ym^L8?e1-Y%H+ZUbYL!Q-o`YtsDK+<|7?HpEgO!h^^
zB%=V@58GdzP9VVBeNQ{fN;dT5BQDu@P!L^RdQZ81nE+<NlZ>~9*b(~Vwo}$DjDX_y
z^$a%x^rzG9;J7&vUljS{p#>3S?e`)2_elbXb>C`sKg)$GP7g&;Qi!2@l<5sF9t3!l
zd#+WciyJ+O3YDyu7DwY={gcES1UNh1CPlR7MGv!^9T#0BkeEl(OTqku{EA#6{F>oI
zJ!gi}sd8|rR#`cyYLoz*gwYhI6an<rIjOX2NfK=>ZZI_|C_&ckZyvKJh0ysU#O(=?
zMwbc?$#OkX0{%Y!pejBQ^jtzE@lu)$x~=7B<ioBEHmo(-5p1GJXFh#UZCMr_;w|}n
zyhIuD9YXHUu!*6U&&?-#weg5i;c|tls|vU}HeXxg6-R>Cf%Z+XJd#UuH2i~Cg)4R^
za=CF5h(h5b<-ey2=*feD;B{^_sBx_MPeKWY?2XQBwC5_KZ_0k(bA{Bw>XsXYhL$Ai
z%e-$;p-n)=&MS72Bn?<8%%exzQb@~>(du{{0cAYPobL?Ogm>Y~fyo4E)K|j6cdVL#
z;v27ro~tLq7-gT|KAQ|GqP<}MUo8RE*8d86BcKgE{n4t_BQl8G{_*82=>(*4^G#w=
z=n*Kyl9Cf*Wl;tB+m9p01XL9l^dHrb4n$~m$22p`p(}P{i^_?LNVj7_yI6q);cqMh
z{r%-o<dyY%E$RyBd+1#kMh$?nLmHE6S#qfK5qDH@93Bbue^O>@0XP%xT`H6*hwS=w
zIny7@qMH13ca)FnK|#NDbj4XY<lQmyMd7?OdS~+>O0Y~1K7Jn-Riczbr%!QlEpSO9
zZ$bOF!Fzg;x^qeEvA--bJ-YLu{gpUM7>mpjRMCfO8I=!VB{JwNyY%#XV^QRjSe?&e
ztq)^i*P`d@q!Ie+zHK`$h?2BUy}Eo{AGTj^XwO$kp)TowJi1G~NYUr|iXllKgzT-a
z7$ixe2GzQU)b^a{dTC;!GLJqOx;`hPb;P0T0j$T%@>tO$tJjS%t_N9zG8UR_63CbH
zUI8<97?IAW1t(|d!JtWKLtv8_vdh|{=oF?w6rW;El+5(Nl2yCE^M)vrwLQs5<3)kk
zsp2JP*8nz3;_~jOiXihlkG~a??O{>Y{t}`o06u9QLjtRUD6TS`rMr0x>#l9jSyl!(
zdX>s(DTyCFkM|1>`?ZEmCk;|AXOj;8OZNPxEiXz;v-lWRyM$H5y9F=|=)$$~2_Z2p
zZsa;tGKG8n0~3vm)Rke^h5M`#KmHx%L}ImSEA>~WG4bFiu?lM)NZNT4`y+%Mk>rkY
zK7BihX?OAz<s}?}WZ&$}BLl1`dg;^dhVCRLPgeLM_p3I1#YizJt}Muz62f1!OkxvM
z8J{>0-kZWbp9?*lOh|QVA=*x28vCpMdr$qG7W5HA)Nj22MnJj0WkAczH8OKjvsgx%
z)*pfQM3@>dBRwmiLy}hY+$^u>Fz?8_sFjrngZ}yPhF@t=PuG-NSivIJeL8DS$zKza
zS0oN;=p91z`w54*e=cLy`4@flzi2>KQC+_20u^E@Y28WFS;OA97B)>QX}}GOd;z!5
zlxTo@-FaSg15+!PZzF%A4oA(4v|~po(3;59+kN3*7{7VljoY;9@cQxWA5IYp)I`Y_
z&!)bO;Refe>~E-n{ePhs3m=f9><4$8TRi_@Bk9`3=MMIZQ|G&6c}a3~%TLPn--{jW
z(|cOF*XLEi*i|&|?-UvGy-Ia0js72I8+xuvd|m}u>tlYuYa~N~0=+AELo&1|HXT^&
zd$4yX{g!XEk|F2Fq5+SG<fw%4S%3JtGK`9s+C2M7hSHad=_r3uAY%>Dd;Vd{uxGM9
zM6N`RKHpC%^z)@cDjTAdj}9vX6E@BHCYc<ir0~z^{h>yiby;*YIZE)owWvjfjRJ89
zL~VHF(jbAlj>p3qN?;dBXM5rm1&Z2{bz1PDLncp)I@Eg!pvk_ytZ|+aH3r^2DQn4q
zczS=Rz;yz=_~=A-+<*#&I0}^(J20XW=__0c`~;XiSAEe_n;M<I*-Mg)V@59LsAHqz
z6~WDcoI1$%5E`!UW;NVoL0fu>)EPe&pv_0}`BXd&Dmt=%>#8;zdRa^T-u09MI2JEC
zk>+WUiS>#SmdTD>44V_*f0c(x*U<mG&(kAJu~GRrA15jiQZa2hB@b8IE{9z>a7Iuk
zN_DB?LRKtI<}Isu8232E^kRw;UFb68V!FzM_`fwN9Zki<+!)7?lyPRXz31N$cAO8L
zSvpQhYl8<Z#|M*()U3#{c4jQcUI4v$Y`7;XhzGmiyF?yUHYAVFcgIHxq38E=Q}@X5
zaQo}iXUd`Mh@*fx@ZC8Pv|dzi=kZStDDwxNJ|5#hE@{qoVnw3JY%=gg7!Mu_z6|ch
zx^W@7`@4c)e~TeK1&Wcm<9K*Nnek0xj~i`FPPZI$l|b*yXyZy=;~}Ap>$JgJUPNr~
zEez?$A;#_aCz?cgIFUq}bxGkzv7^*PM>i?-AO@%9xhxNqhM{oofgoC(Ae2x4l15A|
zdv+%M3UH+$$FR6i80o)$RWkTU7NybJj!SPTg2T#IX5CK_q~iSP%yl9j$+|eorM)1)
zZ@-{4K~6EW`)}p7)_^>^`7tw(HCPEerOb2Pjl~glo6O5jUqxh>yT}*ps|=0zbjqtE
zB~W8B%aQdf1e7K()5?8I1sv0!tDQqQwD4BMPE1e<8A+e;RI62mjq%yf*gr|cp5AhV
z>7^1fF>dtuz^@M0W4~XLX-K13>Q}!JpE5cZ{&9UcLjx}SHvfCoLk7t>Yg9_QDx)W{
znvCz&h~Ujk`#dUG7Ln5zh38&WMvwNKA~k2UK)EBtVDG9Nq7K@c!c3G=q5o^<<?JJ1
zutQPkX^Kbe;Qg0sMhR`K{+H@~N*8i5eBtFaJi6<4FQ`ag33>bYUFxC)Alduy<$KAa
zXr*eRq$dGoS3i;6Y6nQUjFq%y$|LcXQ`N$$3aG>DiuqQg9{8BXy5>ESM=7?s%T2U+
z^seSe{G@<BSfms(C|b&+g(<;&N@W?e`e9R?GhHA2{il6t8}KM1ty1TPyd<L39aT@;
z(1*@nv;7WxawypF1B*Sk_(84*<eZc<fO+>K@!Ws1NVzzhua{l~31i1^i|ZLcG0Ahn
zzEcL7s~q}F06tXm<KYQc4FjP6b$Zq;NE-PU#-*zDaUhjE{_7>I24K|_F3(IUh2RUv
zE5iw9G(l|G@$1!x0NhH+sbC!Xz$~_7b(99tM^qE7qx9j>tM40;(+56dFUQrl?_)O%
zM@FY``rx&!SITH9hMu*fjhGu7m@v-rlS8c@)Zy&9ue=jMYy#RheSS=0+Yuo#Mpk;z
zr|C%e<}HM5&ivuPnb%+~9%%}BLjd7wIUl|U@FO0UjG#eM4=E?7<6G?+fKl#>Jm*(D
zsA=$_ES`Ik^sm-*Jb#V^eCplS$sAnBmo?&avdbJvBVDmfo|*)`$(_w5FWAv{nj?~3
zeoLf%iZsI-NnLoMk?SpYi4`@CfA=}|W|>5&?+phl9jH^gK<C}XgjNVu{hrAyq?`J2
zbmj*xx@F3!k|xT4gd9Ejs$Et{3`{~#XkKdrv7F@V-bI5Vj*&$+I4zT2v|2CvEolJ-
zr^MXeH!74oXzAO~v_x|KG_q`|patX|yVcXm6o@r(Rd40X0?ATr&g@(O5hnS4mjtW!
zu^<^7^YG(2lCQNO&$R|kC~pf*4NKX<Ivs<ajq1*lwm1J$iSlSd;jw_jUYpw(B~#hY
z<HJ*=eOmD*iOU*Lu~u?Dxpfm0&^@Wpc5{Nnk)@lV*{KdmX6$VywCk9!o~I4*{3vOf
zvpbYuSslpmUQR=1E0}KA)J!t%An6K)U08Cu8c2L2*xJZ1Viil$zDd)4q~P@3gtOFY
zu=<oMYPjGBcInQPlpAFaDf`nn`-SVOFt8{S%b7EcjmlZ6Znw9S{=>ei2OaD++yc+K
zCi5hgT#`X!#M?xgk5932Kdk~_`C?qJWef{2z4t}nGe(MU`(j8rq6|(UgPdLx!&m^d
zMbdN2N|OI=rA=^F2APoV$FTwfSnT8B&(|#SNolUOXlGOjLI{sd*t7aEcOTj>HRq3E
z_DmaMJl;ycG&{{Wo6?J6?c>*XMDwxUlNAo3%LG{GaEp-r)r0X__>KEGRA8yLHe4(r
z1Sl=f7!Y{fjorkpbyZcq!`K^Soj%YLAYtL6)<A6+mK-m^eAJ^36I+N5?AKC+%lg%#
zc(yK#NxMCi<ya#Y9qby%?4tl?E3~R#EIP5I`fFSKs;yW|re)*KV|mcoO&IW->%es9
z4KfmWzF-f|7(Tl81rLmE-8)o2JFu)Nui?t*E=*&fZ1Myh9xm1`J$rn-6I1!yKiLr9
zgVmmf{U9?rXeINlNTBP&5=Irp7K(bYi8AFU9}{I^zRE#U?NJxz-W#i1IMR>(W1^{}
z8kT_*VR@CCX5HA*{bi<1)d5V06TZpeWuUm|o|u_z4|aST%gB2(gs~e<7jZ^P!`k2p
z+OsNOG5z1C(g#kDV!r*${?7)bV3gFstZ=3mOP$Vt?Up}|c@Id;W13Qc)kc+yHTPkc
zJU`+k)Fv_9VeVk_Cz9}CqxQu`yKh*PRq9g6!W6b&dJzZ|l2A)MA2Go(fC*}Ty0q6k
zgC(~z9C!4`fxzG6?(?)mn5$NxRbI~z>_+LA`B%dd5dSK;J6CN4tA5WE-Os#$ahRmO
z!P!Uv+dkt~U-lRl$A6jXZuAmnUVB}<q*)wt;s`IJB_}ZdYt3;wS}RzsR^6nkfjIOG
zS1L8<PGT<=&XOhatzn-6`t9F;5(5#ImI^SM#%kjtKOV-`vA3aO#@a{4VEx~O_BO{X
z_V}cG+{S}V>`Tqv7gb+G!Qk{T;|0z+EWY-OHE+TecJ1buEVYxOAY?}8S7E+@-LR2s
z>~Hvub%))_Yn~H<i~pXkojve(N4eT8m--HdAFp7E4iy2(VejzaODmXF!OsYv`8_N<
zGV^C5hX_RNKk~ezzJ|?@xOh=qB|`#?{Fdq-!Z7!*#AIf89pilT;Ot*s3Y0wO`lP8q
z2paK!+lF3kVpnFkhG>>4(TO?T`M@<n_%$y?ty#H+{kBTE%dkm}jD_~@3z`ao{dp$L
zeC0QG)~GVgQ;8N?`^yT{mkNL+Ausli&kmNi&P=;mLXSf3muJ=p3P4bXlz5%!KWxy>
zWncb0Bl`Qs;!<uFKRgrf{OkRY46z^Q438tSAi_G)IYxmWiWL2B?&?yYcHJNgksqw6
znC_9|Vh<l&toTs3!A*rmYz7`K)v=?AM_Ntu_xT`N87toxJ8-+Q*2$wCoJd|T@13<L
zA28RSuG8|SMbC`K?tNh4LFX{N!;KDn(BWb(gPW#D3iy!=ln?k&m-pRQTbKBNGJ>Nd
z`xzsm5~U3KW+sR@wi+s1{^J9|{M!_(4lL-&KF8V|P6WN?w*Bznpii}1A;dB&Hni&U
zhU?L1Q4|+lKVdq<54du=K)Ydf6u7cytN2J91y*u2&d&%yQ`(1LQj?r0k;6ZHGzN##
zW{w%g>k7d<^T}duULI6!<#uHvTMDVW)Oc0y3&W}|vC1Th4-GpfT$UP>L9`D;P1S`&
zp$vkweQ<*4zpOWGU-a;3LoCBsG+GP>$(Vaz?+K%!8ad(6PYQ_ss15Zkkbs`4^O6^1
zMA0eBr-qKD1f(0S=fLP937v+Y+ij)A(YpDmvR^w&2Yddx{Hq_*;M8;Y4A-Ot3Y}$+
zziO<4`c9pmNnMhII9aKUj8~HATlM@v;B8fuKHmE5`*lSy?PR&|HclEHZQHumnyZFx
zIfum8H7LPRRZoW5^Rmcz^7U9?k~(@>xXxC>t_s=)3#T^?@kr*i-S-fZ20|!llPzBz
zTtnhNGcqWkyH?3wTd5jIQ*27S{45bfN}Mill`5iA+9)fLSPe88=gv@IdjveFrhhoc
z6VT?#zM!vU8Ylxgc1~E3psM&@!pwmS7wyxpJO5EbW4XJW6?}TIlHF8oeCuG&nS=tW
zE2=18w8ZFdfIi&0eoT|2;=pZv9oyO0l~MMi>uX8H27u@2Nf&sogsQ1{144NTh+bGm
zkE_TK+V?LENqQ(Dz8kSKeOt09?ABJXq=yky>m|0DO%TxAKZhiZLl3+|&ytDyjbLG9
zZ+Ak5fW8E(6=l(hAUEo-Va3!(;qp3d8E=dN@-q-n+<nK12!}b8hc}JjgQooZ4qrT4
zMMl%Qd9>)~7_Es=nGwi8_{U1%J#co%5}B^;DyE-7&uOY-1VJ+f&sy@N(3182_Nz0q
zq?;zZQpsh8U^Sb)H^7fW6_a--mZ-_WZc~w{$!G|$_ie)Dkr+~yQedT-r33oGow#xj
z1MqlVKtUxag2>t5o;S2+fw?mmuh~@T!}^0Z$rmB~=tn&7omYqrVoUp(?HTof>c{U(
zJO8-QxxLcpTbDWD&Q5r=oUa~qDR58lcd#KZo|p6ucR9iNiB~~GH-IOx%|mj85y^WB
zDx1i2fndPq^L;&l<Ab9bml_VCF1O!-{WrM4dh3qEb|48N^x2*;+K{2g-N_eO;<@1F
z&H6{R;kr<wpD+}$v5D=jE-`$*&IQH~<uticbs&J@hMmjAG)C=YB9dXk1zfS4r(&@q
zK%4fy^gdTPW)P>BAI8cBi;Drv30vCW(bq^4X&WK2+}6$s9OQ%{#-+p$TH2rx>$P7+
zzf4m12)QU$!U=@STrHpCv|uTDvwXDk7pXC=Jz4%>uHW%ed$(tZkW^zhZn3ySstY|E
z*&M_PZyQD*u$U2HgG`FDqnZqK&MyA98OjOQvK!qCt2IG|lV0^LkrH@gwiWtQIbrPX
zLc&XVO`xYF<nBdN!_cb_%@dzFA<Kc;yRt+Bc4-4ooGYY(nHN4KOx#@XtvW!(S4jh;
zxO+v&3+P}iJ92b8lncU#2yr<d)!|{*{12)-48WKBDQ0Vz3;K>}F6r2+!(sQG=52dM
zNO;|1s+P(Pf!rqIMk{L2uk<~un2#B%bLo0(&3S+<bO7IxtOlpLPkj;hV}ZEECZ|X~
zUN}=qsHE0agFUW}?J_e~n0jD>oGJOhiLIXszorVRQktg&<k-N$sQw+#A%56>g?COV
zRfSB0E1p#>>~QXx{Z$_^0g#&t4lB5%3b&~x|M>2*gX+L``F96FxKRG+Y_E<g{Q1w`
z*I|_d+AIGy4LlQqeBUwVG7eR+JvN!M_mdMkN5kYgsYT#gZ{$q-FBRxEpqeS#;sO@a
zuVM5JA~5pQhHYd*1y1mql6f%jK(4e>*nGSwD1OTj%@|ODsekn`TX<fe>*eIV=_Up}
z!eKM*BPx)+B4;x1#0Tnzd?zxr#6e#|)!Jl51tewzhcBk_LvQN^nYRKG@TseHWtvG9
zl6$T>ot+ebT{~dfp~L}2^itQ2gZ|Za9-Olx3PGW2RwMf|4xWc=*bjuL9whOFd4)`2
z$XK+DB7K*HS(d@E51&=R(M<K+mnab!@*uq-Vp8z(nf7j-?17U_TQ=HBqHw?B)TTzZ
zG<bAr@Y`n|oO?w`ckUf{A%nwt@v015^q*XQCaew(w&}_`wPK+BoQ^I|Qx;M>mA39y
zs)N38i=cd{IJ86>SWNwp1;1PFoL5e1z}<;+mriR+fP-z2T|}rHkmX%ZKgOa78F%JV
zELJ37`-sY$o>e($GLMeB->V7o?Kup*PjN86+&XZHga^6=`l~AiMChG(qgkyd34-6H
zjom!);3e%)nH{bLtVE&XYyFa-p0L^F;fROfquz=#uG-+XsTB}?N(w&F^!VHJ<H0xI
zPya6I2yh7tSsJxULC47b>d<02DA)9zun^LLZi>u4qKGu;h6nztr<MbCitNsJzjQ!-
zo=vOOSsE;FjHqoW$bwNyD?MGEE+{r<Ob&%g!(>>RZjFo##PVh2q=%4z(xK(?Ubr;4
z_ur&S+K~do6ZTD+EC8vw3=x4I(y(WhnwL-_2}g|%70NpRyl)J)c9)Wdpq!niT|FG|
zzyIVbo(Pa!d-O$4hZG!1Z!wuT@M6ou{h7>n0Fhai(u*ghU?9_i_x6GRoRtYiTKxc4
zOC6cd+a$qoF4}OaNd%0?$9s6E0L<=BdkjiS!oLN!sfT$&5TX;=*fs&MwW5~!>jDm_
z`mYJ}4e*1rl&T8p>p|Uyvrpa?Nx+TOk}wMrFZ?06G#A$ZEZ%n-X6O@#<lC>#3=eU^
zr=C{IYY*WdFOBas{}ltH-=VyB{^Nl9&h2~L-T+g22EES&#DLX3gekj|4a9U<Pje^&
zwD`U26Vw$2P1WzVd~&RC@m1!vsu>bk#uMF+d58eXrCa0IeP)=ud1@relLUo{>4(X9
zgkgU#@ca!uM#!$cl({>g3wI+wJCTP7LUFacM$$P3*rR!Zw9Iv(Y0A<qa*ZDn9=BsT
zdvtJYYd@O#tqyoS+GI=!=L6B%ha&cywBU6n<|R2!2TCqSyb6)vh1o;X5d=e82y$u}
zI+1t;YUHy6e@=5lV}Zq~pHnmt=N(ndx~mPint;|##0Bx4Mqb}O(}1x21rMfk+K?C|
zlOpz(6E51={@Gcj0X%N>>Gn4*SYIekdisR}=*e20&8=y{`+=0Zqp24B{x}|W<R3d+
zVX-rQK1K@@_-*6dS|aeb7>*>Eu>)7YpZbMNI*5;Do>ovJ!bg@CkG<DykSy6UIB<&|
zm`<|MT9<3WSb+71&nj$yqfwm~dcXiPev>9fikk3w`c0EuCo34|6fdcMI1I$kKmW6;
z&;TxW(>BZ7te}y2CBTk>39vu;s|7?2C|<Jt&)u38CVZ|%dEH=!*q8pFA{y19yw~jF
zQ)O0&AUe}sh++W`7a3~-dv(b1X-=`hv%<F4(wdVKD<~Ev{i|G5gZ}{l0RR6Cmv=bT
zZy3hy?7jCmw!?AGvB&p5D2b>PDWZw?AX-8~Rv|N~NJ2`IhH)yCAC;(3GP74ow(95q
z=X$T_daw8W+@D)6UFgmy3lRir#eJjLhys30YJ8*-<j*M&W&4PLslM)yvzZv4ir(s+
z&@e*mTW%rCOc89}OWJ735Qp2(IX10#bX*E<7}z*0g0|rtzKm@WV0K$kQcuyL$GLYX
zdz~o846<t^A|)ZA{NTrRJvzoqk1fu>5QU1bfsB8x6dW@Sm^>V$VSBhb9390_eEZD>
zJ4qQxsjxP?+@+yeq-`;2L<}WGag+9EW$~%vL<#qC8shn4&v#rC$4-ZqSJSg{kox>g
z_lzA4ofgfCX1gTdGyC;VdZYq!{I@N;E7KsLSwHg1QWB2m^M0<;Rl*i2-SM4VE9bwN
zGmO=hf{yhG^7iA(_<CT3{qP(WM0ieis=hR613h)p9xB)omdLgHHx(&HRu7w3%i#1<
z&l^hzRXA{{%$fY9BFWw-mE)K!zO7HAePXDg^iAy6pAs~j9KWbj_dpJl=Op(<Ge{7Q
zw`$0;q~Y<YNIhRx1qfX}Pfu8*j+n$7>FZ9=Flc|_@#r2!gyh7qq&RC}aq;CxjtUyu
z)(4o4v@2o%E$!iQH%;7BWro*?({U>N%9|I(%INY8xqV=}7IbdvWP63t@uKVcfJ&eW
zaz9UNhi=tIPxGd{ldMKCaGB;4VyL3GCn8nCK?kfcvqOF<Mo8-B6}%&)hS#Ehy$UsT
zQD*RllWb*-f2Jy@^Sabv&z|s}GO3F@(J3XwyfGTX4h!!uA|dwaY_n0S9xCU`{G#ei
zP@A92{qwjwSjff#vNB}kM4R5R%r%ASPs-UILk*-PrSt7LN`_C}>BP1KGc=uJs-*R6
zV0*&M$iEaalJZlBxh|R`B+*mFE=m)DcV3GOMvxJ_wei)XFbntuCaA2E)PlhSY;Z9n
z<7a%rHi=M6q{gPbk&4%XliuG@tA~166Q#s#J#B^9nx&7whP4n=E!y>NTo*0ZcdT|k
zXpKFcP2-m|v{6S5ynbv_2Zd2Nb2ZKc%$K7rkK1Y^;zrr=rRUm+(G#fk5d>Ui*&+q3
zwUK10@#nOM7LFUP{rAuhC~4F5ERfK~8r`^@fffynn*SAaEd#3VUi*HfK?`vzH%gNY
z)v>U;b?3VuKz#hUFM>O?@c4K0o*SWRxUAJqT`S8#b{X$B?-osbjotIcq)`Q@gPJ(v
zX$)AXtgTMc(Zrc5SB@n)WeB~{{q@&^0r5Bev3vGwV2$gh(3W|5bcVTCM$#GZcW_SS
zO;txw{aoMtunbC@TDwjvGLU?J?-)xd3Ag7ZJzK@45X5)>%7G=IY44u7)>mq%=eoE`
z@1i&kCI5-ic?YOoCnd4IQ^nLexr;PH6rOFzi!Y`CTUavF%RZ^VG;2fQlASQr9E5vp
z+<=IMq)T<3%1}HoPifH=0GrH_ZXOX}<I7Kc25m~9>bU(**ue`S-h2He2?R3Ld-f@_
zDZ+~R_j|bvH)yBs@0kB>jixoGZ?zcm`1sqx_TwflR6c(2LdD%0pVm2<Nv6wUwDq02
z`(F;Qm1N{_Jh6gX?z)Hu9vQULGpBY4bD;7?)Ei|<E3Ex|{m{mADM&oK$zpqs9ZT;b
zTJ8o~A~)}I)}oyxR$np>WH)CAS3t#Le5(bLo<7<hC@cZ-4;pEgE!iQu`%q4-nFVes
za(a(1ih)zHx_#;lJFMRf%202ZL#|F^w=#zqOqFOV-c#&|KVYsiwaOf``}Y4Asw;|w
zDnFWCG6&8|uVTmrn4z^O<|*T-2z~`t%h0?zVMRKJ+3%)c<<E#X(kzTC+4JdbE?i&~
zmkB>{H^th=A6);f7e?YR{cX?ARoKJAq7d6;f`#|r44(fd1W&dDwj)X0cqZ_DJk!wx
zFFUftCbfl7Tv_P4qn8K%#V=L~yfp^H_jFDCb3vG&si^dI;sf7&fHU_-W4x+rl`cIc
z2%3ZA)(;=~(HNdH_4un1+}O^W-QFvRxfXYWsUSg^utqD``WwM}&)vfVX9Yo7)LZpd
zUKpKi2V?q{=?KhT@T6A@Lf7wu)jxg_EF9VY{ap$j?GHqkFKY>b|9L^bn}8@@f6h0y
zr_;gQdOg#$LI^xtEe}0Y6vN??xxJa~G@MAzy4q$gj8j=Jc{OarQC7&AuXurm!W+@2
zz7z>ViR<dGqF@QcrRGVR(pR|6b7Cx;B7zoP68Fv;Ntj2<`*@5~!IBhmp7>7$2ff|n
z-PNRF|6Dkb^BxuXh7&BKfub-7)83nuA%h)~pVv2^prXFwf^v_s7#L;i4$f)FL56uP
zcds24!{a;Ej`53Q)z6)~iMR5QQE^WQRit88b<lTuRvh`PZhd{16tUZ8_24WU73nt(
z6DnsV@P*TCh?Sy@x%K0gkAE4$Gv+w2H2=zf<2E~_t*L@@PyMMcCJpggWJjNci8QQ+
z;<wFftAh2>#;>$_L%jde=VlQs1O5<YpF9&aoW8NSi6Kmd(}qoqx%aYQRp?_bIFs-o
zKkz)+l#1JH*p~P#<l!#n@YLe4I<hL7)YlxNqI-IKO=X1wb_#82l}gsYtGCjvot0Fy
zFW-Ls%|!{}S6_L=JlDk3vs1H{@-#FZ{3+3KS{bP2Kibfvg@sMF@rhSxc$?ZY8?;3Q
z?vF~CW~@4h{>wA=MV5|cq4Z8OV^xT&aEEP|)Wvm{zOaT0I{YW?+H~a9;8hzf*CwNf
z-HvRu2Pce>T2i3V!%Bh=!K{hlAfx@2iGYKRF?iIarcVr!5Gk^&xb!_4>vzrg6l$2D
z!ptl%qFx=x`Y+dM9o2{b&jae>N~W-soJumkr2!A4n03q^eGCVUH@0h;q3h6vT8~4T
zxcp~p&0}c;bW+|VIlvs=f6B|YX=$PKU3s&uhyg-3ZS8*KV}Xgg&PaTx1<FPKqm(**
zd{AqzI}u@ttWN@~y;kz_a_}#8UqgMY&F1h?%Co|ch0j`hYPE4_ka!uqg^W#-=ifF~
zSYxx|K942=9nje05~gW-sJ7nq&F>|F-eYer#Te><X?0H|tVIWZo!3jIx&sgOsprp-
zSLR*Ay{pW$@%3n+b0`y7(hJilX3@c?-`Rb20h&0K^L_uU1Ot<=OEUe6v~ljtk(bd|
z)Dd`3xXsXm0m9YyfvJHurhbP#AI?;R^N<UNc{Br}x5RYY611SU>tWD`TPolcS@Iak
zS;?1~j6BZwnt<rPgxh<RAYm_mxVwM>v7a(W+<t1ne$Q5cjulT){ymz#JDY)ge)bDv
zf7DT$SMyK8R2rI}2h^>?8Th8AtV&%VLGz?y!(l!NTy%CxigagSRsKHW*035_udI%s
z(nLXx$Y6vkGw{i~zVv*vDuQlSx$X25g8yYBT0l2YQCD&H@lzF4C={)}smO;r!EZ+|
zqypb79^Ea-QHJIrx_^4aDhPDe?8~<Yl24`;dT1!&=%2K{<trShDL<D(9wFcn^yNaA
ztOCwE%=f{B4G+)ht-owVAU;-AlvPU(Zw6*%fB3N=V$COmjs$C%PR^GXZ<K+6i*G|5
z`7hxT@aXy9E-M%+D$75~ltPYydcXeeWy1XayGLgXtS~w@@OOqo5|8(NV12h`i8%S=
zYgBNUC2n?lZatVN4p;ZarIOJ_qT@gs^TTHg^kk{6^@kYLDmPsj;aMU&6OVY2$QE!J
zz5KOEL=@cCEbC*kmx!9k>f-}Z=HReS+<AdR1pL8fyPl;k6OCz_w|5Vk!C%rbb6iRo
zBx;~<=J!8@V_eI%&uh(4V!nLNEoFtv8%|oQp87{9eOylVd9acf`!u?l#sV-qsQ+s6
z4hy<A@>?j%nnEqGRl!JvAGRE1hpok|5L<V|T;-ApMC&{5wy5x-lwfc=zGK5dcb~h#
z%f`qb9jgCtFE857MeZ7KazJaH#vN*aF@6bMPdV|G2eS&VE?REpM906AyLU_(;ivUW
zU+;4~I65a5u<bb)j4msc3mh{-+hoHjFDD-Ge-ypQZ_17D2c!<V&C>C@w8|rLH4h?w
z-^|?ho(COEjFYaRbQtO@R}sEEn0a4+vpR$i;o4W&HH7HM5{#q~B|JEh$|fuBD1f9@
z6WOylH0%l<QH)jMMd)UugiA(3Sl(*AW7dL(jJj0Y(`CHKs2wYExG9XltV?8{uT-3L
zk=83c%m<O0>T5@yh(JQO()x4=6<OXv(IjVnyv)mFz1=GcudCj-)3m4vxk$Ul=PCe-
zvXjRiWpUg&<S8fn#Sq@S4i5*;38En)Yu-3e0-AS2IRma3;?H`c_#;h1xM!r4o6{=^
zo`r+SIxdD#KEAin`L-~oBOdyYe5FCC9*}OAFvJ@xhdPHq5k#<!{ZU;d3%{g)XY~gt
zV6V+pU%y=x{~Ty>-LK^Eoz1*zp^Ac|Z3iFlxQii8rcz_qH3f)D)3>PJq9AqKz8bo}
zIJ%0ojCLg|!FNIa=!44?csNH5gd|BIlWTX$)fQ#k;QDc`K86DSsI~IZA0-i)>TGQ~
zrh-}P?tA6Q6m<ACy=vBz#@5<BeX^ozkotGb`+E@uIyvfli?e0$^mv%anl&r`e%4a6
z?Gpuy_s^`>(w2jrb4rV0q&no6bpz<ah6oXuAf_ATq1yMA|4x$zgq}4gKkzohwbAzz
zYa$i#;il*B3?(geEZ#R_t20FOx>4y}y2^OlJm)KRTpN4NJ-qaVv65?rMZI?wRN#`A
zD#7zg2WrW4%T;Yu9KQHt`i!(HzUzED<jA9kr9jC~(@`{7rb=jc$*4gh{5JCx$Pj+{
z(`U0Q9l=~J(NH2`J9{)AueUz#yz2B<HaEf{XXQ14>guRscb?e4-2e$&mQ&wZ7^8jP
z!mGPl8YtQ$8IUVMf#r?8-Ysq>;5lR%zMG_p`*zz-%<ZHge|O@Sz-UuEJI54C7t?~v
z7+pIko&qlB(elE#W*|?5q%x<pux`C9bJxoK&c*u)|5dQS56+Qsu5xXh4*2?{`v?VE
z4O^yjR=o6TsRQD?bnwl3(>-5h3KB*{e%@-dg0NVKWl^sV+=evNx2-imBaiM{iWGsV
z&(__WtaPDeNgr;UC!>^?RXTMA@6(?uW4#XQ;;r?v`q!;`IJL^hW!qz*c_2-w?|?2&
z5r)y8Cv?!AcyV@s!a!1$Vbuw9U7Yc$`&H(qg^^drg7c{>{NLC)wYFUcn&s>sAH_7_
zpB;VHVSs^`q<?lc_Btqa+vfSZQVk^}^12dP8<d@_8u}2UjeY3~v1|6IfH@l#tZrh1
zBVLQ*%zQ1_b;tCsGg5?>+dkg=7B*1*(^c4;tBG1ldy{&n3<w|f0zDlYw2+RvS6*E4
zmB$@kB5e}5RrNiQ#A$;~<|(PFo7JH@7pAdgC11#o>G45LEBUyK^1Mreg!?wJ7OUq3
zkaBtQiDn!FJ!y)|dslL2YT1u*z?U0MGK;6wtQp{$xb^mW+{(Kjaw@o9#ty~WMM0%u
zpjYbU`$ta7_#DOd!>iyQQOJB{b2bk6%J*uwke(tGlOsB0k1h}qWS&`TGSGczR?4AW
z4u!?$jFPn9gy<{t9I12yl>SWq_*@y#H?s9v&P@?JEUr0tezL}My%#@Q5~c8RWbX1@
z!#E*#?xUlfh&6sx`ComWC$X~knSt=Y5#rt()g3k)tZ-eFQuDk=3>`<l;MVOSLac{+
z+cU`$mm}xoHrcLt?Ap_X4w6HJ=c&tdyLJnxd3xM4ekY7SQ4R-gUl}6uhrd+&t6D&G
zPCB1sNf48|`C$fq!^HkZw`Rd(=BV86wdHXhKg7F2IZpMC5;NzWD_m>M@OZ!6GtIOW
zu3lrNr5>ChB8wPqHu7c|Vj5>;HF85`?B5#;`V?_bQ$V9N*c7sRKb%q|R>5X;B2BF4
zC*i&@<H+{a1P7E@3JWGUvFE3JKUe8AVZdcx`<O66o6@*|(?<@3N?fF0zdb`x(sQ<U
z6&Qo{Qd+syI6HC@4~Bb{%@Na!O}F+-8zaZ}uE#W;9d!4vQWv@x2)Cm(-j1<G2>-P9
zzHT8K9;Ie=R;Vu%1qQo!1+W=``(SJK{8~1APIMKYiuz03<Dro|&(V>{@1kBO$c8Sr
z<_Mk$7WDW;oecX!!&DPj{MH3lh|9L|g?wU#-1E7NonbWma{KwTjf)LEu1zs&ChTwz
zydZRehlYK$^66S5HfY>1%Tu_|0oQuZ-%}}6u<i;h{~N)EVfg><u;2nm$l3>$8dUsF
zs;R7+W<!`oL5%44Rrt|(<LTcDLwwSi$xjMn$L;+a&CBla;M(=YxV9~Z_<mJv=Wcxt
zl#jZ~PhR4~%{B7PM}JfB%ki|k-y#RZ`xhG3t_Z+R`%&@VGzuQ&<rQcTazbZsMa@{H
z5H^qH_`d`Ne-es~&i>+p*&D7bPF@itsT@oe>@t9B;LVT_Wo~>mDBJ$jNfd<)mQ!A9
z3=lZ^)+Xf`4@&GGdZykLgRJ?MhZ`&OVW#F3=R3rUdyVufkCY^^BrdXd-fG2*gZQSt
zT;Rv@xguzlNuq4lOY%w+88f4PY1|Hi2vc~{&*dkLAF(yXmyeO*sLg1&vC<p4A2S@C
ztz?mJV54?los7&UF-L=SMX*%PL25IS2Q5lBYji>n`k_&`TsMiL!7rF;;i?F}n+Z>@
zzSYBi;n=IElU91;+F&nFM`iriF`c%#Ru56e^HhTgaiq}qriX{B;C7zVU&D4i=mj~{
zT;DB;ldVc2!vCq_>@R_{8GK~y4XVD^Fe`<w!RD@55(!5cWjl84B4b}jN%EO|8ALzY
z`mrNX9gN<nvrl@+SY5#okvl1emg&wR1tCos2H2jZ$Lb^I;`ZICyA%+W9UmK*p@rv;
zt?76789=7&MhX3(5;pwZ&1lopL4m1kA-g37;cBUKkLs1tp}=ycrA8M#?z1UUeH08y
zMa#V%QbF!j)9D@VWCV&)=}q~D@Tg}N2a2dc;g())S(iQ{^PV1Bb(xA6d#(v^*^*Gj
z(U6p-Nx@8M-L<838g^8y=UNI@hYp2bYt4HKM7o~*U8tjj=-FO9cwYmBJy9OJJq@9M
zUi7k%gfZ%Wg%bO^H6cZ@Ej`s>h&e3{?a~V-uzaoeTa!Z@VWNk`MppVK@22hI0Rm=F
zJl~$SN>T?!(}jh{Ry-+Etgy7H$Q)zjP^z7PE?O3zhJN9tLQJ^nl)RfI?su&TZ0Xg-
z<bir-?ju7ecyZjUVzq{?hoEpntRCt+Oxs^6uXsS=t>Tm%0(FDd1w-s)T;HhCrRhpR
zxs&ZgcM4#~n${|1N5;F(i8-ZgeFOw=pTt@QmOh#)EZLLcyF-jRX`+W*ZM)8UeGJf)
zA_X@JkdY8@(sNz3HY9}>=Fj`s;LyaRruo&Cxzlwl%zO<{`OZGfsJ4MideY9--MVn`
zx_0t$i5gaAGL%x6Y{0U&*lW$S4k}*Lmnl^%9>u<F+#+R*<boLP#a3+y>r$Tv{U--+
z(b{@T30shCGiD-_w4iWW{Y6foB<|MtE3?emfU&ldG^Vc!mfh97UDrf##^tG;<VzdK
zkF@Rgf2<DQ0%DKDbzU5g7{Bl($Og>4e}^~?NXS??a!QlT4mnZY)wh*waMkUWxcqHZ
zj4!v}@@-lmc5#jwL{u{1r)soQOkM>ckz8MHu>2q%`$c}`*~Ea+)u#e`&6U6*YuV4j
z(MbfK*&s*x4oEhH(d9klq3r76KV(-#u!fg~xE}|IAiWWpEE!Nk4k0eGiAlOz)9S(s
z(Ao3r=DDTdG~0VNIiQodkucx)NtJ-nzmH7MTyZ=bnOtsP_nj%|Hln0pZ;hZ&w>ZrY
ziDLcw#SF231I#W(@}u0NRyf>m+^Fa)495*Y8Z0J5Oun1G_To1!@txtFFrzGhDvg(X
z9BYP{W(}dgnJaxNEp|Q2t0o?hHtN~V9Uo-+<QsH86|q2LxtU5tD;Hik^?0|<_cH~~
zxz7)|nxm>B)Yg*10sq?rX05BfGndj%+9_n2;ax<LwO1P}#%r@1l3({Q`y%7q<wi|G
zRSStwj{8Ua2$F8Ez4MK^!%fEShLtIjvI}%Sk1r9ni;omoW80Y8;oHjhrkbE2BUezr
zZl1U=wwV;<*}|;0yUDBn+ZfzE{}qhz%o3OTlzcz?HZU)~o|&s~Gsa+lan|;dX+qw%
ztX|9R1#|db{hIbFBbZyw$Hd(KNpx|R+8n!7!2EM$&-eyyBivaM8;F?wL6kHGov6K*
zLF{Gw(lDP+hZ)nq+d_VV*lIiU_rvT{;^P|)Mm|3s*J4?vMVO;R@J4H=-cxnNYlGsu
zCJ{7vyKz<oH4hUfg{qS1rtgU#*8DBe|ENeLjea|3KSY!@Py3he{78gNNW`68=|QYQ
zgVrIEgT#inbh*-$HbPlygZUf_6&_9kGvP)9MCI!ZIXo{rh-D}1bKQ}KFgHy-QJ&RL
zP!l(viJIspHhh0DuCU_&Z*`@q(X0E3Cl~ZG8%6tw`eBRjSy>dMd8ag9(&;AzR`Ko^
zH}5Cnjk7)0>QQiCU(w#fzMlxP`tf(e@j)WV*5H<0hyh;58*|2|_Y=m`GnR*54ig1z
zwpX4O=%ewa!`)kQ14KyJCh0`-7-8OL7`e8CjN?DYD5LKOi0r~I;hI$wgznMa;s>H+
z&~wF)hCdu6_81s#4zQRaCd7LaKD+3l|8_x-ZOss2$x05HF8N7lh=}dTOVUL@+og$0
zjuFDft9pBr%`|cAM6SPJhYlPw8gA+YjS|~fjG62+zll=!j9d<F9fVeHcoZN%PPn`1
z{`uHAOKd1fb_qMH4RJ}`Dc!jVVz71c`sc=Z;z45ZmkXb@@M$9Q@M_K}B5pAJ`_jT9
z(bcZfB}&&q4_-K0l7A8}e%grN-u{Q^by7ZHmA=B|rtPDz1Ah^(i~NFeX8#efl82(@
z*)-88RX-QsJ52=m-2a{L#|p>v0nyLLG;qIyWj6D~3~~Qb+LYr08_WfNEoTg=!~CJs
zT`z+<qNM(&8~Z~JoV0i0ez02|*35rfN~ISF-m=vCv1Be>7zh<PI7kBLC&uex+7c1q
z(x?`8ha0M<c|44xB>WgOecO2P55YTPmzg`kizN5eFP^iKpg66c@`;B9p2u49vJMNt
zf@3x}`kERhZ*Hi*cZ?N8LWO9elrVf;$MY^&tAV1H^)2@g8~841Z!5|aL0){~vGOrh
zT)5)bYO%5(Y5To}KHC)!arms~yTZFr@l@y4SGZ7J&WtLSlt7vmWlnX!DkAtc2KQuh
zgE_JPM!uvJBKj9S8m(2ajXSRJOfN6icYe!?w3mT(z+iJ8Nfo`#gAd+&3gDf3_9$Di
z9Hd;Xh96Q?#cR{P>S11Cq{OuBf4WW)yd?VaJ_A*>mlZj-MvLH%&c~VML}h#n?=279
zu8NBf$Buu{5rfuD!_0pQst96>K1<D4h2o5t((!3=NU$ALuli37;*p0vSf$m_lbM!o
zG9ZbHw_I%csp|Nc7+pguQ-k4<36Ce+%6=Qlreec2@zSzxUqd(vBE0OLMNV=s<&*E^
zieJeuo&gX3ICW&^x^b<kQvloif6b&)T@=>d_3v)ifR016wT`heI;-vItH;TR|F`pH
z|8cDqPk!XJ`KAgcnaRB|G8D9|I`dw1&q|*@k@?|{k{W6@xden+8N&34ae!vI9@ZXm
zcE0eC1m(QEo!hoi5mw24?ej4MX!BOj_ifZb`n;gdwtX}#)i>8RI~yWJR;X8WNfY+w
z?;bzcLPuS-u(72g4d>Zi;?Lx1BPy({s#w+tqYiZfztxT4wEih)n7uAa<h(7s?ij&r
z>zxnOohEPzKcgA<Sr44EzRu@Hj6hq8NNIU(hJfR~3(hwBcyfGO$;@XX?9R9()40|W
ziyym_H=Q@Y*M}mxc|Jx6o1J)Qy3(_@X6%w2wWh#O+eu~11v=iGlM56r0F+MmwN9`2
z@^EBQ(SB<h{xoN@q<&)HblJMt-dYNj9plAjG7RyL%fN5C+Xf{gPV-?eDY#eq__C9u
z0g`S=R`)P%(UF&})DcU;!5?husy}ql(4YMA%K<wWL^16HNEEzkO3BG^)j)!-J)zuf
zhl6*rFW!?kK!bdB(ZGEbxE%fZfh4mUX*Fky!>*GNJ3ZXuy-yYc$7AXC3afFwV8ea;
zFS<}O)29ZDi9&J9$9&FTb|B5Sk;b~UK@uqs6#*xdxbBX%-LQl3v0$fFuU0q_XQw^!
zWQtItUNu=VutRc;cjo=e>Zome_PX@+N2cLo*arV1TSy0*^qqEB!~XyP0RR6Cmv=PQ
ze-y{<z4y)@j|b25*z>tIMaVBD3MG-EP=pXN8fK-ENJ40c5Y_i)S42fyMN6pcJ%0ZE
zoO?d!-gECcuh(0Co*`<B-z*VwG{Rd(${Jp+-Kd&SQGg^BqVSIZ6Lz!OkjfIRV7Fm<
z{$VaTuqq54ZggPB9{g}oY{U}AD<p47E=oc`gGa;_ac(?WxWkA2KT9Y-_0phQMGS&Y
zzO2l9#EaKVrmR0S18n1#dKz<12xQ!5fBiVhkK3ava;FUe?#0jB2jud>*4Q^YTg(LT
zZ1!|6Lm(YoclIToI>P~L?d~TeqXqDH!`eQ_5DR$Raf0KSATxCR)f3&2Du7!KAD9nJ
zG>0dD&y}~EEYt67c*)2TA%GP9E%Dc`n?c?3qviXXr|9K|Mk)i&0$91@aURP{Q?O*&
zNM5@5lg>T4)+@L{02Qg68Rt1o;gRsYuN-l`^fmv3$8*2%qka2tGan}t*nM``X7oTa
zaVOPKy6g-;`i|Q6CtNg!G`Go<W%6H%<)%O}1{Z#m*b?HY_s0mTYuw$eVn&F3aWC4C
z7C$cWyUg@D8i6w9Tw%lS2}0XWX|zF`AGPl+c0Idg2*ccU#jR?ygu?#)ohe)SF^J*r
zo@xn0D0WO}ZRK1f5;)3PEN}2*Z%U@G)+qz1+aSI@u4skud$LJ_S3m%%#iG<zMgs_v
zczpBGaRwaDzpM6Tj{qJmWPCRluMf+zoXzPXOxSw#tjm)Z0=V{fqbMVbK5(5YiL%IN
z#>E2nNLx2S+*M|?BAB5EnXgJC#>H7N*RGm<YE%$y1V6Cp%IQJz-INc;S!{TSbEBJE
zp%B_zdt}Ad>cXYoXO(uG99Z$Y;>zD(VeG0r(l6$w3sOzWY=fzssM&bQ%zujr?%pZx
zVlqvGMAPjLVg<M{PBi=DHg{1plqnCVT&00*qbypM@!-lk7rE$AF`NoK_ToPm8njIr
z>5IDZVHQ_-USgRzHg(MI7UQ6S#cffVE4u*JwT_IaFH4~4M8f8UPAWthoP0)_5<uq<
zKfXzYNa3iv)WwTAR1i8pDQ5gf5U<(ms{C7#M%l?2@$$V?s7Tr|usSP*v8ACbB2}{Z
zjzwtetQ8f4E-Ty}5){EB?z6m&Q5#V0yS{OVCKU$mYhKi#i{j(0La#qn%i{q7{Vfvm
zRERED@*j^E!`zb%MaFdsC|LV*ue2f+OuXit6#K;yC?CJ|bt+<ARMuD%jS3tqM+*<o
zC6PyBE~;`^3CA;7<~`l1@Z9gBq7EU2X)Z})W+EyW{yBW?z)31FpLSyn`cDSMt#8;L
za#Y233vTz=XH+oK%&{(BmBsUdrM8hL)sXQb&WI?}V3P#idiihzes<T3s%}+B!BW0`
z4{~YnyY?e@QM){9+Gkd0Gm)^q)mO1wN*8(}Z@sHs@4GWihArJ#6SY~d79DHUg?$N9
zdH<>uaZ1ggb7?mjdwmS#&xY&4`@)EGB4tWA%;NFQHc|_dBg9U*+v$VK5uMcS#macZ
z{=nV7gWAZdPJX|iW&pe#Y6G76D(KF{8SHJYgNBp64d)FEfn(!!SA`5!T+-VSr2R<;
z)pPG(%5pUVxh>@F<fCeM-(}L%Q=WoXvLyKb#TtW`Q9)nQW_8pGzE;LarQjXDh9r)9
z6Huuvulp*ffq}M<+g)WS$fEV5d1>AhMs(LCzcgxKgKxzh140M&vKN2#n3_XlCgrq+
z4GF)u{BzqlrHyq%hYIT=Eua#F8OS$D=r5#pps!yGrQ`PKg_h9adEbMc%pWA|y5LUA
z3MON7+d0u8Z-7mYpJ;5KC85+CpS6XDB>chYUBvwkpl|U>b^Uu1a=8lF{q0xBU^}_f
zN5B$T4L|w1W|HtxdeqmkR#l7_OyjM}wS*n67A-asBve07G8Mb5jLbP6n%cdVu+Z+)
zOODjQpTAdMF$E}M#P*_l$7d{|zwngbzdP!9eACY0D@O9zbK*La7>gC`xWYM<+@XdB
ze-v5GKnCUZE*^7QS^wYkRboYpDvoTH+*9Q$fmw$K8|A-Qg4@UYsTmb2SfuoIB)nDx
zy+>^Buryf0SvxJ!xI|^F&wAsW87YVoy}~*rahBjxz;Zm_O$n9vPA5MAUJQ+6xPQ;s
z5~Q?PzFw16#EmW`jaPg*uu|)%L(3>YW%mC3hEaLs$r4+va%4fq-u*u0Jb-~;r1Dz{
z8!#s)>tF9U1G-(D*f(bmK--^jIoLuLhaQ_-<Jo0m!=baywJmfQc;?_!C?<_zD<A*f
zjhH8V+bxa4IOve_;m^AsUP+Yq_>Xkv@C-4m)abv>$pY%-AGYbKi6d($#o(^b6jAid
zW|lwO9NK8Adk6eQ@w{c%FK3xaB8k&0^xa!C=zMFg{jozB_sT4~988@cOq}oT&s8vk
zr6g~=gRVjtBe_>TIeCIOxH&;*AjA|xviY}>Rs}HD*8EQW;shc6;d+w{n!u9i_}<M$
z{P=>YV|=i0l89>dn8_A30UlaJEA137a`WcQ9blX$QYCYQ{X&glHgdPmNF6r@smC7|
z37a9zJ)INtyN#f-=+kySB`(~5`~c;W^c<nOx^T^oVgzb2HjP5hIZ$AiiDk&lJkc2I
z-RYZW2xLRnw}F-Hc$5?@wr^pPcptF%?K_hp9Ddey?lQ7r`DU$^K&2HzhFw>pJInx*
zRqIoH*x9fnB1cE*@ES2;m~dI-mp&xT7Iaj_vSP;@JA+^Adtnr~#r?oXAL5Q0hNCPi
zrV;v^7EPG&afeq-(<eP(+Z1q0W0(bPd6gB4@|f|(^L%54U3!q~XFA{Yo&}%#d>+!^
zV8vYrF?;%(E({)g^WX3|3uXx`rMqXaVVxpJl5L1C4F4P%5hAl9@4otGeKH4r-rA5t
zTA@L30sBGoQ>=K)q08IkJ135;^n^aiqJhn8^Xj`?Z0PKnTPE~?8}}UN3!!MxAf-RK
zmirbPz9#>1ymN~e-&#kTm9<krvQ0|Z@-X{4V+{TnwejP?m$Qk!K~(T<AL2i^jRRjK
z4P+!U3gWgMQ6bj_sc?#YhI-zY6T7B9ZFSQZ!ef8P8EpgwWJVt!kUPtTck^TY`r?H#
z-9TWB96^C+?AK~Gf96KNLcQO=heWWU;(XW^9SYRMySF88<;7aD-YbWF#jx4zpicTX
z9k?<2{rmQ5K72>Ew6<LoM{&`H%l}2`KrVk(#>QO&`1I+22g&y&QPY{*`;43ph{l$8
zif$J~ig{0PSGqK+tA8q=daDhD`8S#KfkLRNAeWz;D2uil$4=ywYQvSPzKZ@VVXUf8
zUAkJZ0e6LeF@AVP8_YK>_kDdSg0q(*W4r#yW2t4kf#_LnSa>Sbd50{9S4xWH9pn`8
zPX1qsyb5hd@?`lST`Z2{e|&p~e3URLp4T>KSQ~WpD%79TByoSz1%ZZYWn@tG*-^Ps
z2js?$ha|p8Vf^&DOQu4qs5V9;UiImK&}w__e5nkMXRbUGj8{VsM)~DSwiKW!`Uv!=
z%c1n1y;<L<)zR>JB`5C#3RIkWC#z>Ik0%R8UmApx(2MFK@Xd}2@64k89Gn%<>$KXW
z@vtVQHkEitO;F)X*FJ}AKSlI7`82;`yB3bf&A;0BVEumnlTZJ6TnSCq8WbMZYoq1Y
z=T}&-=|ZcZg#Z*PBcqr_we*q>#yIvkMwaWr3&-Eb1)Ejy-@dC{r%zMR+SzQ6U5`GL
zyuK>?a!?ih0ymvHvPQvR|D9)=gbg82=F?%F1vRA8gkM!|p(4jNrLXy6MnLv`Un|3;
zfiF9c+_)7-MY?`E=gd!I*wfMD{AWf3SG<0^Ts}_4-~xw1mi?yCG_`T~TsH|f1e-@U
zZ=~XmiNo(5r_A8~4)c)t6PhT+HU7%t8wG1`*o$^VS%AMuUbQ<98AAu}lpVFBVDuG}
z<%EB9$YN7FSs4IQK&`((#yI!*wB<2v%(eA>CRPftWb}<}d4`Pi*lOv6<78Y8wy|Te
zvV`RiuOb(Ykuj@6cg4JvgbT%1w0G^6a5d32{-!n=uii{Ix~rg$iD6w5vlJ^}i}#H+
zuhhimInvvXC>3;m-)12jX9XU~k9BG$NqAh{e=x3D5qk%@ywY!3!Hd_53%@u?7;=^8
z#Xk{w>^~G-Ficp%`P$XpmUHSDsNVhiD7!Q+U-_b=S#Jf-Dp8zf&1$&(WbSj5xfuH0
z-N;~g!3xy>S#ACori#hoLCNCZ1<~tLqHKn*708%Kt>g--;1j0eJzIr%aGUAWs~Jfv
zm>g%=Em^9BeQ9^<e+00i)!e%ZjrF<qstS1a8Y-etnj1;-)EdEahrCi0XbFpPTd(VM
z%OhpS>z@%;v&3YKm|_r%CA4+XoOZvJ!-(GdT^85=5PI%S9YR;u^UG4A^(h@0411sF
zD9JTMC_RaIc$*49<a;dMx+#flr$h7P?z|%AQuVh~o~46-{l(%(8^w_$dgaI)<_Cnw
z3zqf+4=mussE6~cs3@v?Z_Ny3ETT8VQ0(SmbNDzY#4E=ujBTkLR<$Ng^vhRtQ$nT9
zf&CjkXr>6_fe??+Sp0;(Lz$D5=xzq$8%}ZkW#Gq=iTuIqx=-j29W6YDvrOSx@L^f8
zS#A^_q4ZzKYNS(+{#btY+5~heYHuGm=fpLyPw|;pL0_<b8%35efyT<v_K&aF&`dt`
znETxfqGHR==-D7+(7vwtZC^DD>QUal(_?BNN)@l`uskw?mdABAVtq{bm48FdRkaS{
zc$&^W4N)UFuOegIsn3YTW2#0yDKCjKy5%mzFhhtK`LF0(@fsm^%~g1!=`Arj!`;93
z+5nc)t-c<xSs^~0XqSE{_nGjF75(L5VgP}!E=DccEfN1@KWA&W4H4`-pSVPB=!0L_
z6K9s<1tNN%QNBRY52E??=OiH!efZ8_@VwS}o)F#Sn(DnYOxzt6h@+<J!I$g4jVo4j
zM75@gaG3uXK|cL#!F^R1CR%6T<;Bbro94X=Lq7i_9Jb3|_dTWy&PIoOm?viliNwMq
zV|5e6&F#^pmh&{Yw>tJT<=PC<J;s(mJu^kb$3w>VXd0Y8_n}ugWrh%~>^QY^o#TgU
z6DTH(H0Y4GAue5+A*3|Ds`U=e5$Ka%ZE%_jnf6Yn+=kZcp0dV%N?0I1J~z7hQi2L6
zn4AK9x6TstEAQs}s+Wjp`yKLZ6%=Tw;M0$po+YX>tsl>@tP-{sRF~Hl6tGR4KQsP#
zj>wT{6se~(;6}Q=`LWwN!1K8vySR3qNQwR?>z~VrI(@2N&;8Vf&ELzK8Q&}rVT}7)
zjxsQ#-LC7|qN>{9RK?WKp}a&K+F9^I>=X;G{%0Pbd{7HG&^zC_XqmY6I+Q5ZWy8T+
zHH8aJWSBP-o4M??-iP*NT@3>Vau1in7a=mJ1{{6!QIr9LEgNkVW;n4ZL|aiWOcN}E
z76e@68IfmoYaNRy4>muZDGdEUf^<WBt3&oonAhYT*5uEJf}L)YDo!Nu|CM}u<5_0R
zk7f7~zMkt<9o$`cJ2il2FTAWd&4Ttf_CGOvEr<cPJ7<_(G=O7(CS4N8hN_GDIi_yH
z$gtL@AwHxIgR=7J$vPZp@`WRiJRyR%mpuJWC#u6h0dxFk&UL@CZ%%u5Ukra+l;-}R
zssp2NOzfHf4=zRz_YYi?K$ZD{?wJWSIFeBp5$wQ+Rc#ED$_-N3%v-fK)T#!?rJ?VC
zdkWxmmEC3YB^eC2d-&P#mKt27d@oI|6hz79AdlpO8!$lMGJAaey?sm1z_gSwwo6<r
ziQrJcyq?-KY0uQ)@8ZuPg$fZ=Cr`fc3RgrygM0Vc+125^bKjo#JH+sUjl#jwIVHTY
z(a?c6P#pxmPyDLWmcZ9NOx2&ysbHw;g!h|Cb(pf;yvnR5g_TPMQ`L@YxOG%=$?TQ}
zRI<OjnQ0?~^&d8Gz9p=IZp&&}l?5b7xfJj;CRGl}3#pm^{;ubeGqnfTo@v5AnpjtS
zq&zkV%l5qLC*zx|9u4khTJZX>LvH3n1sv$HyOx96n5~uVcxzr8wwUO}kp-2|_`vAr
zm@O0>|9x?ao<xBd8J~>OFl98`qY=VwN=4u2I~<elQz4LL-(%{43U2JF<d+tr;W+V>
zUMHdpL~dK}qfKhq+DLj6^@4`Qf9o246zPGn^3tXE_3Bt*^62cqUS0e^?r&z_ZUCHn
z7_U}Hl8`Aezcrv+7kTeRJPOq}f<FOkJj{Wb*k>@v;=ZVh4DW2Jy{RT}TU)WK@FE#2
zgzAWuAzj=yr}P)W4E*iucAYQM!fl0}H#rh?5kAa%`fs&>?CVkI$0D?m<0CclY&Q)j
zzut4P&;eMvCoHs&TL(A3mN8Q7qGH&y;kY4XOQ^QY*yQP@gC+K_cZZ*#AS-vm&l5~m
z;H9@II&PN^hSYkS#E)xXbN<rIk97|Iq|{8`5Y)jHN=uD#JPAKNb~}{kVGSb68#<(q
zXyel9FiGv#s@UeeWqV4qH3(4`_col-!tzJy(yc;DxOi0B+lR>pyaP^Y=K7G)^pEkL
z?lw8(sQ)q&FKz?3TP~;g&yn!O_X`dOI>hlsi_t_Ds|~PlY5U#t(LfKX{;NoDK`i_U
ze&1eNL;tpGFMpM&;iG@MuLnA_<2}Cp1~rM+aB?8HBl5KhW+)ick-jVv2A*Yn5pvd`
znMwPgxPF%`gf^^Q`cCk0rk{mME2w$xHh54<5h)STd<8F`(wSDzr$uR70sPuo<76j~
zx8xq|%o-l03uws-W>l?n_Jx4(0<$cp*t{}bq0Z7Rg)5INs9VBnkH~G#Qb`OX5+^S^
zEz>vdkL`9?_n8vsqJ3r2VptY4uPx}p06Kw0K3#R)bHe`pdXplI$s%HmD~}kVc|*MI
zqB|YpJoKWd-2(W2yPw;qOH9DV$eV5JZvh|I*7Pf`@L=Y`U8Sci%&_o!O6$*Yb7(o8
zaH3F%10R)a?w*xqhJ4l+vuj0Wkn>TZfMK2)>uKkh2j-YSdtgVcS+^;CJ&^UF-;M$O
z)N;1vS1~~+!`CidCR6Aa+S<DEZ-Mybwss+EBNMD>nNfY{CQw)tSg@IWny@_gmM{1-
zBixUUjiV(SgQC?T&!m(;#D?%wzY4+_K|w`9U!~UwguPa7-c<cg{H^wx8slRGqs?zh
z8x)P;;eMwGm4df~PO$%d_XiB%abxFLbc`X?eo0S_j(I`^^h{=NKFR<>f&;(UKNx_C
zmiN|3+C927OUfQ?M+T6%d0Uv%!T@4hRMj>__tG<11orsoF~H9To>ILseaM%tQPHD+
zqzi2{x>;h(03##k1Dr(lfmHUj%s6F;?lmn?>9~UdLZ@BAWYY9N=!9kTHuhh1A7fR)
zO?eDpcd}48dQBIujLB$a8;;Ve8}`$pCK#Y6x2DA^Mi-=Xy?fqi{G(g-MefQ7VuZ+U
zKVPpU8dy~GWp+nS(6uAP8C@8dATw<G@|}1ZJl<FQF~Vtzo*g`zl3m9Hk|)}Ws2nty
z4qd(HE;U1MH@^4O?JP40M}1j-e~t<ku?aalhG*$2u5}enCs|<4XK!_x3Kb|PrUUpN
z&C@NUqxR@sV}(3!)3l;S3LK&?d0xM|NEhk!p7R@IgIC;Y`7hlmFe$3v!=AfL=Q?vu
zgzCTnvYNr9q9GlKuVUWCRJ2O}dvE)N_is6&FoxGJLUldw%**r^?qvY~%D+v6Iou!|
zm^E@JTpJRT{5@%B8G-R`F1LIvFC3>q!s=5kD3f?{E%PZ8gs_#}Yr4P>%se4F*GO96
z5TLPkNtOkI5_Qu=rv#vl<yh_Vc`~%+S!LLsVTCG9h8b}~Ay76Ey7Zoh443*sd<!Jl
zfx7#XL*ON0IDLMThGv!~&|3~}?P%kGSM^mVRb@os_P{1LF$GQV@Y&|dmd6EeRV9z6
zJ`sZl?oSUbAPEAtr+PPL^1ub6N$crp3Ao8*qJHEs2@Xvg>F=uHgSqG~ai!x@u(4!S
z_^2KU)KA`hh=~H=+VFha-8>nnjazo5^N?WWg4UKVt%9(vO^?BSKo0CZ$`g((X@K}8
z?C)0)hTgUB)Q&QF@U|E4(qJV)$3xi(zkCrW3oNm(oKt|YX*tR7WD*oFrZy|<iUH%w
z>VcqLN^s|ryIJK?5`5X;l$tRj4lzkdZD}8s!A!U$i1QZ-q&MEvXl<5+A1yDU`VXqY
z<=gwBxRNyCaCv0m@rTlIDE-7m4PkY#JN6kVu4IUL*=qRdtt_x!8hxp??iquUi{ak?
zX+ix15R&1N2d@^6`@(6O(ETJKr0Bdh=#!6MnKV>@H%2#iIXh`Vz*EP=YdjQqW@r9=
zE?g0q{C;h4<k5k@je>m1QxupkCpbr%l;D9(d1=8e3M70@bgpEeL2+TH|79K(_)(W-
z#H2w5(*S46l)f%h>@pvI?xzZ`K36kdAD}`jLyXFeTs_F&*4Zvurv~m#FVzRaX%Lgm
zBf3|@0ED8YCdZgGV2iGI*Wn==lw=hI5oicT_w&WmVBNEJrK$<Y>q3K3^_%t-V<@se
z-a-w~gh!8^%7v75;So!o<~u)AC`@s`m$;t{2_=so`TwH9m!FM03+&9{R9#2r2Wu^G
zspaWBwwDIU7wW?T)aa0rX1jB4SPKq4JQ74HphC=~dU#kgKx@cWtr9nF2s)yudnB6z
ze;m`4i(M?Cu?@WrL~6s?)$>)8IoeQfc7~~$+X`G~eruX~Xv2|1r2n22X+nPdk6nk#
zt>9YFi-{LwTHy2ZrOwlJ@A=nd@r+%;8iFG3_m8goNaXxfupqYzT)aMYk|W$2^j{xv
zx7kF7+0)W%I^_zWTK?g#$yIAOaq?K8)CNtMphlDH9?C$`=eLa~ORV9XkYIB86Achp
zxScARAqG>4TUyi8t--dbB{|4k9T@JLNKB0gKuYVxs?e5o-dztZ_AF3^VCRc<f$!KM
z+|g?(k$IiVTSLt3$CTmIrshOS<SM<y>Aktbbt|xP^!#M4rvz8IZtEE{jnlvGc9M@U
zSkKFnyw&D$3efOXfb-t7UV0?c^Fv3TSi*gAxxVD<8$hP*r2db_K4M&<S8vwd67(3N
z#=C=LAf?mek4(=naZ=>;NPic=w89nNOWP$O%Pi%`{gw%$W&6NY!z}<4fnB$c9u<QK
z1>5g#nKQ&+1Ixb#HFUTy%jlfdAq<5{XSQ7tnkOVoQ`;6gETBYf*o|$oAhiE}mFAtf
zKp1g%dJldx2d9Os@jMYe5bJNsxk_Io4rsVj64=e5^<01o(;O$*>Wm6)*}6y^yP3hg
zMl*xYo_{W<(Aj{_Q-3*eae>fRp5(O*Fa<%jowg&xOpwT2rT)ilff$!69$YOlffn~M
zk6-WC==J)2{_T<T#0I|vpASRE;QiNT@^bnj-NR4RH8*jNc&%D0d_dC}%30j+R=k>_
zk6P>=XGoqU=%2i}ouZ9k7l+@ud!-X}QQp$PJLxmTx80f~@g76qP>ARd|2Il6e<r(g
zq+psT*0ARe(=dbs0^ZH?p+D$1SXm{UI;V)kiwUM&=>{OPhDD0|zR<5Y4#;len<8p{
zzW2ZIM<3*JlCG#a^wUcey(l%|lf;pS^Y8mT^a0Q8E>kJ*q^~t!4d-5(AU^F~?#^u0
zgKO*sHLsJa=}wl1n?`R;5K+RR!8rzcz^7i5N4<Z8h?rZGwmvdJ5G&h8s;hKib?n;U
z4RSNV#yR>tJ7|K)RMctcP}PMpSAoLu#%|*9XKNdYqzNMa_lc(J5*kE2607f0?<1P8
zN&BumnIKXWUF+RcX>cC67CnXD6Mv_U@*Py2B>uQmyf{-yg^EKiUTxI_#LMJEi+Ar%
z68{D0s%_GvLXF-`wiDkV5keC8weg!GN+bR&k3<Tj*0eI%>wY6DR_&#}8%-0-0=<1}
zE)-Ch*&6lR^#>7sWbQ@2(F}3NI^bAYn-08{`*`?f=r3aLu<>%Q-z*U$6v)#xp$+X!
zAKu2~{U)k^zesbcn<FfuE=q1!)`q7qOIT-mMhSk-+FjO03q*e8RxPugT2NKi;IdEt
zFToo4BX-xwA`$g{%_{T?864QFgc%&h37frp-Zb|t6KNKz+5ZML!T-9#@<h%AAvGsY
zmmFIqs`e{nv}kF9!;`(?CDW6Hok4)(^J@%<66*R(@gyi>zr3mQ&@?f`VJMdPhY<(f
z8C<A-rvV$%`g17Uv&4OwyW75dF=Nl2mPdR>8bBWAZus0WN4R;qC(r+5!A~p_EE}(?
z!^aOY{(O}S#F)d42ANxInDk)J+bV8#SRAEsSw2`I3e^3%xbryh>^qY9g#<My?lx0%
zoLeD2*&p3EP|by96KAC3R#aiI@4y+7J_EJ}r{@bW@nTK%LdsI2Dr~t`b7%Q9BYrK;
z{CDyUKdzoxW_c>83LZgE7-gB6QOeQP%~Dek#ja<{bXBN;EYA(krv)sivm7h)=AIB1
zgpug7E-Juk<`Ng@!-l4gEXoYNBKSW50096043~F2)qNO-?M+rX_BzJlIL@*6@3D#y
zQBn3PS;b3ADAGc9Au}SRC<>ADC5b|cNF;@fO0u`tzt6wV=f1D|dLm3U;GvO$COXrf
zYZff%LsQP?4|M?)>*Ql=LdAo4NbWW5Q*5Z)loZ~ei9-d#RUIXXcvy5B`E~vo2U;Bb
z=+x~agc{y{ii|&t2dQ5=nF_jl(5EfCBi5ZFsQ%KQ`Px%>NTqXEIJeD>zDZcq8+ePO
z7O{ot&@eo_8VmM#afuf_(5KleEG&sM#RfkY7vZ6YFu>I)&5y=^d%n*okV2V??<_vd
z;i1<csT%#>i#Wp)Wp5kf(K2N;QP)cb_6X!=j12EXX%BfNzSGO1`22q1S$bJ0?d{+h
zToObj4+3b8jLIPfJsaH1epz6Zn;ZG3C4w@~v)D%V6A-_I*%O0tIbi$srr=SD82a5?
zR&4k~5xE{za(t{tfFH?kwoURSQ1!NlsNa?nqIDb>sqRsLAcQ|*yCaF-OdKR-?I9!Y
zemVbbM1)EX%Y)@X(y04u<FN@*3d&{r=wHXF46NzZ3yuqTbWPkfjaEtp*#%9092g-(
z;ec_!_+?pC)?F1E&#Q{EI!A(vd{rP>)09t&R~}u-IS_PeToqmV%JC^xK@G^xwJBfj
z5s)11nhRIF8Y=oD@yb<11J>6?rFLW#(b9pG*9vQDNL;tnB~V8THZ2OOa?^-Nx9<;k
zs-!wPn@cC7c2NgTaIk9nk0>GjDc7Vst7=F|^L_Mej~?WeJFqyck<f{^SF|%i)eys3
zuE;?G2BYrgCPxR9Q5b_`)9rLs^g4K7#I-sAuJ~9siUt|^1zzfmu~$LPgB*#B?S?>P
z%H}z2Pe%PEJlIql8Qr1;XP>Dv0{V)=i5d$sN;&k*_t=;c`W1y!HMndH`OO0*jJ#w-
zlYf3+-T(o`zjeJGf-?b`>_>(M$CS~@)H#RNOc@lfM7Ql0X#&Yz3WDrvB*cII@A<i-
zlE}n%hi>$-2^>1E#j5{?h(z$F_uhpFA>aHX>bNQspvrR>g@`Dk$1mwkv0h$Oa41cz
z?V1Ucui&mQ8WB(%x$3?AA~VAKb%mMfn85S;PHNYFIb^QWa^bP?Ds`t(n6BufG32=U
z4wAHGkWaSL!Xd1Odi4Th$9;Qa7;e8qXCy0)s$~CJyA@4g$-Q!~EqaU~<H79qVL?gc
zJd$<igXJ3b%~wy}-^d7X3;b7=HN_B}mKEpM0$T7nn7*9))DZNi@}-@3b9M1dZUeJ5
zBdA2}u=C>$q2)hZn0t=^y0*<Z^nHpM?#PntRk8qZglX~NP(E}kG|ao9h!w(pu9w^K
z0Zcr=jk`E;BgRV_JByWU@c1vCi=Qk8!Cd1TE3EA3hwan*lbY=CHlE&9SH%E27K7t*
zzcL~>8c~mYS9Uo3I3bDVpguf2^B>HTXwj{MnVce~?4TI@BMAcZfam5yAouJVRqC|F
z`L8tW(7z}!aWGpKX7A_Cs5s73_g%fGlUl+C97^nU4!t^1>e|@$Qf89+`tC|=w<#O^
zd$-eck6#D!+Up$+nER=d7H<V!&alG60K+|}U9{oy^;4af6GEu_hE4u9=CQ(m0%A%G
zRa%fJ+C}dw(Tgc<u+skXVFd->b&U}gEogKIQnax8ffe^0N~t@<3a>q?)6e^8f=o@$
z_zlVoCM9lmQQ!zGET6Qb_;zbR;ROD=K;;}ZRR7VAIf4}kj6qAzIvS8G{rA1>+5*<n
z*jU-#&I;co&?a|<I$YzfmGWj>!Cr?xN#fIEgRjq0dTpfDq3eQa3Gw?H7I6~)!D4_7
z28=p?t>vr1`5Sq!KV)uVQO!rKOS0La!OhEKSyBy__j8#))7-&gS_5Pb#BqRQ;{!?k
zGF9;P@OM-irvW6)XLkHPCp;W?@cN*x3dCo2019-FD#sZj@rw)U?KHDm-l%~2?Ma`U
zV0z%fT^6Ayb3=kc>V2ZC3MjSzVUBKQ010RJ<A>>ZK*EkLQfrd}X8J0!e}$M}oR?hc
z_J;?^x{oD9^C=Kjdg4k=3^TNgnaz;rc|kRJYgEFF0*69%?L#+NKq(^a)fXOq2;p0y
z%U&Tvvq5QPO*|WvdpZ&mtoDMnfcev<M`R%DMc{{2IY1yv6UCGWz=OWm##Me~7`w2T
zrn|}sAl-F_UJM5&GbzpP6f*p~my@t}cn`2tu?t&26NHylR|CR!lwtXlaKyoX+&~yO
zbv`XX7%mAOw-u^XhTOmdMyHs0frb5k!oUGh@O_$L5&xeuh%|c&3{&`E+aUe(4-;`H
zwea(sJEROPpB&P;g83n-=ebPMQweamacZN%SQ-8vR8`;Ku@|H~I(9VrBq5X(?p}37
z8NLlFITdK_gPDDkezeTeFyZjI?t82<Y<$kDqG`qfVN{}+=O7+9AA1c~4=96#c%t!^
zhY*}BJ(94LEdy){d+wc<CqrY8?w&R=5qKWmuOGcG3)2r@*zkpu!9Uvl3iF~UT#KqR
zc;F!qB5_htLqEtMB^!-v|1J)kQ<1dRJp`Ec9e?=Rivs%<2g)TDBp^NEV-3+j5me8N
zSH7TCfhcC9$`d=1phhD0<`omcrT-&#vOxuG#(ZP%@kv8+YjH)!wi1{JcrLT0slsM$
z*+*w3Jlq$z|92NthMHT~mo0Cq0ZHui70g@)BBCBU{U(uNvpo6rVy-$A%ZiRsJY|97
z_EXln5;BMstnWN}uK~h&q?qI9<X}oXerJw`0-W4Ud)tMzz<1<kw|JyH{MDypbJnCl
z$MuZAv{Bl?V|1Bf6GVU=w;yHdCKPznE?($2x7!2%zF#-DQ~={{iLr7i3JeYn8T<O}
z_Q}U%BPPs>u(Fxh9{8RN3R!kpQxp2I_<$T<nXL#qGubv;=41%yO6h)a6a#DRFQuvU
zM9?Z_HMWsbhNLFnF+m4_M5AIg8XY2h5B@^4cvK0FbXp%dy9AKl+kPiZmk8};{(%$P
ziV$?Hv05R@5K>xAS2dW3kVb8zXZ<D*_T>>AVY7yCAo5DE|6N6pDxIA3I4%n;{14w&
z8ykU^phz#at^h|CblIYtq`|jo2xUhY!DHK@mZt;-s4l)W*D5Uu9t)N)EV7JXs!8m)
zBZ&Y3S$-@z+M=-52NhD;yIjy3@Tc1&4`=sZ&<_g10kijpZfvX(_?|M+Q0bKgukL;E
zCA+yR-8ztW)4>Q<0v8inVq`#QaV@DxiW`y*dNv;k89_j(LQtR#9@L`}BAeY=K{?UC
zE4ted*yEX<FSba5yu&5E@<@94>|s6QA7%)`m$;e2+$6zCzCBw)W(zxcB!}Y)&Jebu
zSMoR*B|wOe&PPgm39~wPvCy|>w|a!W)PFlI3bwVf+s`xqU^-ouL3UOE7tY)XubC8r
z!1&Jdd&kDGKbMH^^BowlOxJ}GZ{nb0_3Ejn*g@>>O*0m!H3Nt!yKW?JD*&@JL3*A?
z-eV@BZxTN$7=Y6?GB>L!KdgRte%ZIxf_<MZ&aQOThm`c9kr@wO==ozR=YFOh`^~cM
zK9H#g=F;C5Mjmp5-i_vKr8Up7EHzJ>PyM=ZWkGFZzX2D>bl<%9s<Q!$nP0gvFQ^NL
zHgM?SId+IEPB=yz`wA<zSqilD&;d_L&H`+U1(FF*a;{!}hsmZj=8aZrL-FSHi~24m
z2q+L7Oey||J<81J%%anVDAfh_&@l%1EzIhWr}Y_=Qt~RaKcNLa(QCZ-wdvvDWv2u)
zs}YQsed@o(=b9kaVz+kT9WCIxK0NVu|ADPnU*|E$X@bu+Pv3*-G*I#L;1)yk1eSu)
z=qN{NfWd=*%SPfm7&Yx_6obJu7BkAtcV$W)=vyxSC=1@g8j;|HMc;3%HS)`vw7oj`
zEKVp%2ybF^D($Ba8qQ$>#+8$c9cnNzU=;S8X9J6n4nMGhpU1jd3o?d54R$s-5;2=~
z?B##LNe=}UF?m%i;dO&5=<7Z6v-_}yop#wbUyWPF#HXy-^K?|fHTB-{L&<AcePhHs
zR?;fw_E=fW;iU?kqm}lty19mJ@(VR;pIFDL3g!!@ja6X$;xL|2zlIg#ihkJK+r*gM
zo}aYrrhsnD5t}oj>sV+FW5avq9ZXsS&PO>>V4J^=;8e4Y<tz=1+H}ys<d^KTF|%Ya
zfJd#p5gXWB=fklH(sUpo=e6M)yL)HrXmUKaiQV(`j68Rn9yS~j&f~?%P&dMqy!YM~
zrn67^t*8_uJQ~$be-ow*-Tn9O)^BZN+?O~=ZJkUI(cn`U+(3ex+1s%l`)Ppg?q`*m
zOcuDDXl<CvOoIKHK?Vi{T9BK4Xr&*=2JQc)4aPVrL1cr_(?B^our)pL;?aE$NWLZ=
zQ}==hwwc$LdX4B|Z-#D?_iru;>*8a7B}IhG(U;N`BN;%bC`fDKDK|KBy?beUTM-_1
zgx@{)nGsS$w$fj+@xp_U)M<S_MUZ>I<F$H>8Nz4|iOF2%gG2V&cGq(i;JxqjR<#Wl
z2&a>hzPooXbhyRld#fve*B!j>pEqo9%X7}Xv`YZmPDmq*VFG;MHO~@39B|$@u=;B`
z4ur<F&&{V1;9A<u#krqcFdIHQQeP<qZBo%6JX{Ds!^ZISTRt~1Jt))391($I4I;N_
z4G5r{#O=2IlLxS#wU88TaTuZ9w{lmV077@o4x}99gI}}^?+M=}z@CWf4>a4o*Q%bf
z>g0$1nrhh<Jt-h&fuC+T0VvVk>0JQ=aAsfmA+suJSk6e--v6Ee`>mIzE|PIjGOFj5
zts?_Pj?;y1yF9pXYyEu4ULh!@Ug$0SA`2mT?xhpU3J^EM>*6LV0_j`T#jJ_)pmF`3
z+M_;2U^ug%!OTny6dq~*BOO+Nv(^6gbH9k-<n*59@j(fwe0t;R7cnAytQsG|8IyqS
zSxwN1Xi4aJJY?|quM+gQ6!M)LRfdLH>F=>^QZSdUkSo=o3^XkfvQy(^(6tb@d$JD?
z1t<O#db}V*!BB_7uU-D$NMacC3X%bKT4vj0*D27XUhMJ2Ocl!CI%d+nmxWBdCJut$
zZcZ9ps}9wx0i>$4K2?whj_~j!`R`RgH<s-Sovj8a%arKZM-t$1kfr%=O;z}PKo^g=
zv_O{ciSGR-1+b$01sgwAa3nG|wM}UQa`L`rIiUz|?43UTaZ`mpiBYe>-QKeZ91L-r
zBtq3;kN7t{st|L}W>fo}KKQ(!n)vWS31}I#oI5V4KuObyEXz6!w$0xpiX0=sPQJmL
zr<oKu8Czml+y;<&y19w|2?<Pv8qQY+li|dl7uj7ohR}4yCfNEl2^u>-3jB~DfqhlR
z(84hzuop0_4M-wEJ{ReL+m-_Gb{*sDnl*x|zuFsLxkzwFG0RW=t{jAs<vwz_8H3%6
zs6pHPN}$`GWmqYQhg%x7*I$(yL&x}p%9UL%XKg$edzC8zc9DJKejUc}_>pJDlimNT
z^bS2`j}wA_2QnPXT8%*%^~r2U6QHM@3EynP51%8+Ssi)C&{*?~FK0>)elyIO37_JG
zsf3s<8E0d-ANe_sRYMkh2n-tCN%SD<vV7zUqcH>#TiIPg@w;9)h+nf`#s;R<ByQvy
zLCNW;O=^`C$W?WIHT^t_HH}hZ?G=omES+nH>7NAPjJz|>Mzv9|ryS2eQe_CLCjXu0
zy(k8(r-^=fI+IlY<Zqm8s=NGsUVlqeOBi0<a1xI*pQrw&Cn_jC10Zs(aUw|^%)I@t
z`nt>twQ5t?v|0;5a9?lTd;PtT`qAe5mCNf?ZT?>#qmdX~{mX$hC-K788=50p_cy7z
zfg$UGDF(2k{CJ*CkQ=Ofo4lJpZc&A9NiVKc=tEPn9UoUUJGhqx6P}xHQ&|(NkM{3+
zy`S9I?7VztU=Yyz#829$UhB=nn74GHvq&~kbb%gbN)1?^*KAQ6f_Sf6Qgq={Wd5_H
z2Q={b*1jl?jZNxosTE~^fDUw5T<O&D-@q)*bN8@_Y*Gt0YdvGDwBdHb9^wzuGL~k&
z_?1R!gL-Wv*ePvY3&_3XFZ4J5VM`hD8(9YHR7d5^e{>dFyMFZTtm=mu><Ip`ajNqg
zHBdg}v+q4kIA_`uuyJJ!yKrh~BPwl`Dy*{p%zsM*d@6Es?%=*)?ca1)11DFg1~=X|
z*0^YZ_EKh<y+Ie|&Fc2$oXZMTYrNKHtyLXfSPj+VOP^q2{$_0Qo6A%?9kZ9~%IYve
z+DX3C`;_Wh?G?A!vP>;Wn6QZ6^|cxE;4?}+9n{u~`is#u%hZ-8Ns=?48f0>XPF^_H
zM^$LUCjWd`rXs67d%WXS!M3ASx<q=2DmWg*$0V{st*EBjhBB+d0xicNTiqyCc|mSC
zG;M`yBrWNA=DG@;>grc~UNJ^3@|Sb`rL{`^mzIOqW>?wWS0*j)kw2-U?8si7bB!w2
zCY0KkN&(`J`sN6YX=?gve~Kf|I<<1ECu&lZ0^hbH8!wOjqI$3hCO_T3L2cHby7;hy
z3>%~GtOS#0saC&57Jfb6q_XUIj&2!{K@Yd+S$uDfI__;QgSXtKCYiL4SC%P5bU1VO
zJBE2`thXgc7&i^dcw6ilIK0cpvZFGop$pWf;-&9NI9jCm!aiPCV7EUplQI9*Me1!X
zCvO&v4wb227Lm1A0?hji{#D8{HSqKwOOfmJh;h^gndK8<eB-Y5w&^PMn*a6Wo_Pj@
zyEr%aZdMUyx<2k?3a(RA9N034W0{bna|oI=RfHREVj4<3o75W@X&zbv3%cZaH)!&{
z0<bm3e~6}RQyb(**JI_`&{FA>9z_lX_{na4?;S>iI4?&o8XIz;q@Uq8lp_d$DBe}a
zFVmtBA<nR(L@v~0AyOW{BoChQ&O#br=@5OnnQB5DH!5d1BD-~79`-er)jAw!K(c2J
z&es0sL46??!H-!UZs|~XW>y#xyVqQV*I7QK^_5NJ?>#xt8<*hO-^h$yx$ZNX;`XAP
zRK?g~b2+Fhtry!WV?|PF)eqz*1<;r?j-``E4*ov6DbU->j(k+4GN-=b&?nBQh>~_$
zFc^{aXyE2TSxO9<u8hK{Gq`W$Ns%ldv4or{Gj4Q}`y=Q66Qan7<waP2x-8h$ES-`m
z;X$YR`pfygi=*mf`^md`vLN;0_kxNPA9_0WB6-qE64{QlT|E9;7M>GSf5}k!k@~tF
z+th0*luSF{D$gkg5^NSuOHl$yS5N15tpgrag}-lJ50?X(digXrPaM*lrqAeMltpH8
zV;TYc@}Q!ArM5Fb2&oR&9eMdq4%t|4KX2dlq)NTX5?sCr`lhFHxa$D{(V}}L^J4@c
zq^lHquZSW1PFz>hZAFB8V<TuOuLzg98>gpVNFevtZEn{jC6u{QMSre_2>dc)2L(B#
z(5jo3wOoQS8qRXonBV0}ua5n^ZGbd7CC_1a7Ln1CMJ05)k%6h!C8%%+k2W<<%2ZZT
zP&-L6(f<Jj6kRwd!?v=h<icQ$YP<?kcD~8(EvgFcucD%YyX4U4Pm3~(W~#{Lbh_M?
z7B%?WIDFK>gn&G;rTjNvRS~|Ge@QD{1AfuPif=wvKv7h0*A;y=q)fxW!+1*zSd;Kg
z-t<H?b!*=ZAs02&TATECvq%SIzr4E|qoIW4Rr#zn)zr|%=il3NI`!b3y6a4_9tpK5
z@QL!&tD?U1o^6aP29Q<4aL9m78U0+p9}zmOg381Hy>Yt%(C)U<{4`w|IiAiMKJbQu
zy8op9V7p=nt@0C9w!O-z@5jvp%qPgGe@vBQ+}#MShx8O^AZ4^PPMsk;D<Rtc<IOik
zjG=h!tLq;JW#qcL(|5Ikfc!1(6<<^sgKmq}>rZ(kB&oKnO#4;_1=bn|uW*?_@U1|^
zo1ug<@|h|=k4U1$Iw{RJMkdg3UGbdIK_YtR<ebngC4x5nW?Ewpnn3Kv4avn81!TwL
zzo(3TFAA1xO6*rK0VdIqR#Pqla;eZF&5LuQIl}wbGt<U^cdpg2*Oo)8bt0+rZ)uS}
z^Y7H+L}SP=So*4XSOz`wO4WK{JV*VsxG*pwZVXc+1JZBZr4dvV9sfC!OdWYw|81qn
z2-@sxVj4mv(I)rH9AV9AEN3`E+Cahx&Tpz2#wm)UhYMqIjwQ?3vhQJbjx0madS=*A
zm?DhY&$wq|+S`~agQ5Qe9z!TR=H9#|hePZ4+~0rrLJQl;m4`eN0P-<xIAw_+9r0~8
zwSP$uCdXD9cV{*z$!=*yZ1W)8Rq2!a=NN#4G7uXsi~*gBIp@L+F2pzKRq*>RBRv0B
z!0fMR0HikG#fC&y)T4dT-QpV~+-`YhS7@pavqbTOtn7?P%x&kV@E1ndnf>@~_Ou?*
zdta;YT%|!pcUszHiWniBdHC@63|;s~JfoYPzfR4J<*I15Vg!?v|EedubszyPF=z8G
zQlAYJGXzdEz+AhIktdf9)L8R>KO6L$>iR5c-YbRyVzuZ#K0m4r`me~TziEC@Tijy0
z2~rHeeZE4}`o0#dCo(seyMLfk?TZXqd+6bl@>#tHYnlKxam3~B>(qW5ZicuNdU%nq
z9eVJnCX5?X(sK`YV&m;n;@!UVuw)?O+xJ`p3TzT(U#1LUlghu+CtT<u-Xz|7PE-Rf
z<uaEs4UJ(2KM!>Aou!AVkc5Z!aq5tmVKv*}J&mDgf&*&-Jv^}_{_WXN1GR7?@8RfK
zOk!c}Hs2gQq<Zm)k%HBr(1cM{spua@PWVAJc4vV7_`yPpKdLa2&>pBXzJL|q4K7Js
zWPpNCEpB@PR6(r1sr3=(GN!}Lcl2jDBM8PAvibZ|0h?FNa+UI{*zeDY`G>ADfpYlQ
zCd+UYD4bxei`QSrCTEh*{fT7;a*M`XBeM#46%PAx9ofVTnO5rdJ!FBB`(n3H76o=<
z>~rJ(+s3|Fsq;Fnv4YlfnqVI?1r8m~io9@`20ZT`JA5^W9U4-Q*!y>6cscQ@AuNOz
z^q)MtRJNBBz7x+^3;L5Gs-HN&T1*G_6Cs0AQ(TZnoYc6$Lx$0Io^bp$JshtO{_r-G
z8?>(aA9Xmd4FB0^R^kj9p>II6|6B?Wc=^On&<v8GR(sZOzKRL-R_ys6we!Nu=~oI5
zO-W!weQngMyX&`oG@{a?{Lo_ISYtp{f|>QZx<AKR!RWx3wvyz%!1;D3^TX~gXHn<w
z@Tg>mCWG@|_R8#oZ#w<^E58z9|NKDutvpWHIXs?dJB))jH<kq5t`cF7>)-p&pY4GS
znV_GlbwZGvrd#|3BSPDmW)Y!HZdkMSo;>?P1p0%7W2jt2useFPt3r(zHXCb$ua1ks
z&Az_ln~REY)?DYT+BH5<c-3F>CR+lEJ@%CAEGh2#+aXhIo*xvIe@=3Lkp#-i1F<!{
zL?GF{?9d4p0ERtzR?JG$ASL*Z#B-Pk3I`tPxQpY!PmO7TI~@;Pvlm29?eb;d<EdBo
zeh7kJM%uk8PFXl`F<M^BPzi|i&T%oV!tmNd&LJ>UZZ{9KR^FRRuxR1+ccWDles8`_
z2_h3<&*PMMfnOw$aSym-IVKJ=bO~Hx9~6M|hRa!VRx-SIVk3`nNy44by12+tA}spQ
zF48uVL7H8m_^p-{EKth0-td!vy@%k#olJoV&ZF9f0n#8)31*eW$}p(#Gsk6jA4ceK
zq&k-2A+I)F+bWR^UNQtf(IQpQJuJ0hG%W*Df`xY&H7FowndxwLObxzs6_X_8<)He0
zU13-Y1%8tyQ@Ial04@LbLY$jCG~KH3%2HGT!PeC7zi%}mNrpYZI*tGe15bY(KCJ=^
z$>)rwPHRI?el3+ZUjZUs%}4Tur~oUk!+e~GF5Hw{d%f?DB53O1Htv|JfC0X<M|@BZ
z{@CrQA38|{ui4<!#e)>^OBFsmon`>ehT)ebSe3xCj0yjVL;*I#fWKeF0ZKYd{USq^
zz(gzc%Dw|+nD05_;4%qNDi%<?RJ`lq5Bv7dSd$?4Uz*9_Zg2Z=CmP1wQ37vjZWyXj
zgp6xqDi<h5z_K23IownU3U3ujk^1DJy7<)7*JVb~nsaUHT{RJipTD_TcgVmdooXE&
zjWGz;_4hB0E5cuI(Ufz$KG%IRlH#mt3}OrA4ILv2Kz-n&9cV5NT;HsRhD?k>*7N1+
zYAFGlpApIvFABncN(<RSn#Q2y`ub?Jr9ALA*tRq5=IGax+r^`t#^8hRbmi!kg&L_m
z+KOZ@Fp<0(Q_{8Tk10n<NB7IXN_U(0T|p)wUr=$9xVY=f$&b5>Dy1PK-ulturY&p%
zcc)@V$OtOW<la5CPYV1WdJBj=|A*0NJv_g<>y^DOD~}gqC17ebF+lLsH;hYFKXL~Q
z;YW1+t=dgd00yRzoSP{aJNL`p4_yG`^kd9}+`{0d+;yeNzMpESNnLw*9Kc3e-#o|)
z2QF3A;<)B9YHf-&w_hg){{sL3|Njh^cR1Ex7{<xod++gj?fLTB-^VNxg+vKOWkmW>
zq|iX5QWS+kkxKSfdY@7X5h5X#Q3)wBGUDgobDirs=Q-zkKKFeWcRc>*Un>M}@7)RS
ztNuaLb6YUi`e6=CQhc{6cL>0@M%|!$XMWP^UKtLla+rge--PsSDLyb9F4I&@{YC3}
zH5R^E&kUmGiepU-xIydZ*BxmJziDTgZkn&`GX)LnuQrrac5s`xINCG&i?&Iz|6)*v
z35+JIbNXy$0fFHxn##a5?fFTIU+3Q$!}P%)``&vp!b0SajwSt{v>Y~vhtk5vFtWIs
zF^%*P_<<|cj50|JzBqn%(#r_M|C;s6jII%NN;Zt)OXIYZ>C;Pj#fD%&b)t@TE)!OZ
zayImLzR~_pM{Sy;H-t0vf{$*RFA_v>vSp;z7|m|!965at73yrY9x%$z5$>ifa?L-7
zX>ayKcUv?VfNSK+iJ*WPqCDZztK;sUX<XyzUL$1yznvd0o{^a*#N?v&$2bRR0vaRK
z`gna<d;82Hf^ULwrAv_@ZR(?iwm$9^nx(*a-vfo0*S`@jd?vGJOyAKmS{hfg_fx>-
z^YT;0tWn|_c@MF4>MiZa!E?rneR=?{o%suV!-U8(Cu<RV3+<+0hhe;v9_Wr1>mU9w
zL|9!~D>RdAqAAvsWNx+Tf{x(RoHpYDV&r=g&*|-tX@9kH7#+6i0xeEB`ZuMIfOL`Y
z&$i_>#r#j<;T<|~Xg-=fsIrGJysz*zpDCBd)AWdS#Z?Cua~`WgK{w&Us^~vbwVzns
zJ;K}kNgJ5C1yd?kI*B)Fb-e7xdBi2(yE__#w1JI_BV63|Euqh`=uxIoMhGeEW~41@
z!GVU(g)jE)1dDCa_M&~YL|iUSu1HD?8U*@Xty|iNMDNr@Z|A23x=3x#u+s#N>phev
zS}U>tY<IWy#pi^l18beuNey_wXD%Bn*Geq$n5jsAdr2J98Gg8}LLEe6h3?Ibwh&~c
zv`0~vEreVC^QUdoYVb|Gxb*Q_3vni-ZSR*yZ-|W82jAkg)nIRPU$0Y8EAfkzSm+_z
zN!aKZ?eU0E1+SRSLthlzh`TMk{`aT4h>88YsftZ1kk0tJiLCsF5NWYp7VdvXbY1;t
z^h!Vlx`Og=*oCzdd{`ZFYP6TQRbOEuAD|2;3i%6bncfnIWlHrw@qHldUk^PMX(GcH
zjhSuSp`Ap6>_L%pfdj<R$Txb)a%4EdRqm{Gwu|U_b-|ux?jv#OA>ICcaZ1oWvtE0v
zp_`z)@V5SF^=E=8^Eh>Sk_4t#qVi5k^bk|Eaa&1yhKVo94JMs#B)HDpcE+`^m)PIy
zT<NhsLYz40LvP%y2*t&wQ4ah1hzlcBPiz|_k~G6MJup&)&hH-VlH2-;h~w2?RbPH1
zhHqmGd$|I1Fj}*T92q1eLg;mde~%MdS)5Fc>I%?HUi_i|W{7Yu6-X*~og@}Q7hWAG
zl83y@ryua@e<7|$&ued5{7IayBeQJQl!p?<+nl+D!^DWDhQ)tJeiLD;-d888<X|yy
zsNdIOlqlbqGb+eFOK?+{{I(Ht@a=lsokPrDi5}(6t54qkA%fnI9Xr}C3knHmi*;AN
z5e0&Y)&?)<iF1c9<av3^Lcf!mO^@OaVlh>?wCmR*ksohVvw1=W=4!Sk%p^_{huPIx
z!gnqc(q+4h%cW$%xW2uqM`N0xzj3>!V0D#vS?BL#<{=HOo(x-vOTUROF2<s}Q|p9=
zcU#4lTT<}0mBrLkZI;;XsGD1tP7gv868w%6lCY$f-f(UH578H47(4IF01nz)?0<qJ
zSn`K3)%>0(Hl=usPwi)dM&)|NKY0@H?_mEDzx-b!JK0Bs;U){@_Pg2pa!Ww^P{frh
zDa*t$m-pHvPIh?rM!`Mqyf_@ryVG4k{3Cwu*zVr-oD<Fov1Ltji$i7V!KEHaI&h1p
z3`)M>fiF(^%eU@{!HIam_|oU}5bP+PIhf1`H%oSxu<Q^6$!lW6wCfCTZ~nN*+<pQ0
zAa^E!!Y2l?&u{%|%4C8F8M}i`K|(M#6IA<oLKL1XSlt|b&jRxO(S5TIML;>b3T};v
z!l9v{KV?qra5ml6!<{4!Ek2328P`Oi>*g*sMGh_qoL65S_$&#MAIFr(ti(X{?xDih
zEW7~2bKZ8JW#Fw~%j2jgVvw4>r>eD_4~DKpm2+Q{gQIpg?$sU@hXV%ib|paoyyUkY
z67W_4mY?RuF-Ii8FsYBR@q!SfYG$%<IFo?8-DYL7NfO>WtVh|S2o#*EvON;KF+Y8;
zK3|EI21Q+hC0SJ*RQSXg!^>3Q_V~r|j@_~_E3uWaqfHX#8xLJRC#nt_{?$rzjdE~r
zLhNu@feiHc68hP>nvfD@*XeOg0sdq1H*ee{2iIO+Gue`>4Z}UNeq5JHkVQJBxx6k9
zmSGy*q6<2(Tj$)#NFim2$=P;Pqfrt3%w9Y+vD1U?^`}|GMb)6gCJX#ilt7tRIcNW6
z3XExYZu_363GEpZoJFC^P%~o3Wm&5a-`rK2j(X~V^A!cj^X{skfAW%RQH247hkCEd
zmg>QEKL^u(6Lko`_V<fyFclb?qXQPL4WOzz`dAI8CTK<2`*C$sLBnrALRQcS0-u*X
zEo{(&*8l7;Rku^&o!m}_6%JEqBKAxc-qeQuUcPhPPE@$jD1Wt2kbwTdu0t<%bYS2Y
zH6Y2+01mEezw&3bfHU>J1F_jU;PmMloni|G{yniUVLf6AW>!TuYh60f6}UfhphXwB
z8){fpi>=@blu#eO(SheLPNn@kpbgd~$yRqOt>NeWgq4{j9cUdGV~dVZg9wP+=Ne%H
z8YM|jE7)})Xw{{N_(Xz#wVihgXKmo))!=At7j1YwZggt9oh<x%=lEVw$rf&NNje(#
zYC`_qeY>;fgkU{A^Vn4pTUZ@Rp-ZSz2Zf6B^6##)!WN^%Hd2=jocH`(qvW9qFWjVF
z+(?@y;9&EBkhcxYnLn$t|3C)yvJ{uFlM}So8IL}}4r?&$pmcn&A;AJ2_jn?86W-bE
zP&J@p4S^Z&hU_clVfa*$6J<LG=EmHqusmf2m%m^7#I7X^-d0<m$%^vfYXdHi={J^;
z(o-}Qn<xQ1GPBV>=>n*;GCjLZ&Jt?3D_kF%7luUBqiUs&LYVMEJ^lMB3#k1(vYuVW
z53#815+5jxHJo)k4Z{EvkK2X6oZ<rIPRgmD+#)DkQOa<4I{<lq$=Og#X801^!cnkC
z1mj7jufx&^h?KZ;BinnOxNl5~U<nez$UrKO-c54|TO%b3ME@bw22-MsIE!HUu9z9k
zax-ApEUA2QZJ0<bHE!>c7eV!`{_);^Qz(<u@Hs#6fVMaDNo&9lVNAO3cIXnHDFnP^
zTvY2Gp;eauP1{!{jMqm3V!GT+U@J$h+q~oq?L2eE?SNQeG|S4}X?x!o4n#D`a5Md-
zl`C2Vns^FhqRAs}WHbhm<l;M@jMr$?#-cXnt-|;!p(oWk$Otm|Z@C9d(j!CP?VvVC
zVI=tZTiFH;VYyn-a5aJvZT}wsmKz|9G8LMCj=C6v>bC~}iFRgeaLiKvoh^)}HB+W6
zJyeK%^51LnA}i9-UWMgu+`r=4vU7wd75;7x7yGcvj+zO#$;R77u&6l9CS}S1_HiT!
zxqRouV=3L7^j#w8k#TB`8fO4@CBp|bpK{}b4f{ow!=jj_LAZx07{Ip|H$vpCc`>-X
z>8FXD7_Ru7?eu8XhaJ#cGD6}*B`f#Sp})n@VcxA(^n^Z0I@TVLX5mNrJ!%f#{o<JO
zFwb^IOCPk$tgdgL;Kz&pE8PzUCD3G3%A&z93NS0j#uj%8;4^h8{oVyhMC;rXr&<c6
zBrtm_(FD<wzTlswsx*FnGOtpRNP(Y+Tt5a?387@G^h>2<GN|^N^WHaK3M4c>*#4_R
z824q02bc!QqW|RVn>afP?3$|FJn~os|Ax)|{!d8`g|a(%^^7;py+lo>bc$ka$`ILW
zQVs>ztIG2YC~!+Z@xYahe!BmxoS3YWN2wEMIWq_fNPQh7@060jS+N=Erb`Ow({;DI
zeJ2Gf9Tk>S+$2%Ru1UqzUlG^TYQAzsQ6NGrSKv>U6h3*HQM}!jgvSd)uL>7aAaF9_
zX4{lBI^OnsmP%5>Uw`{XZ*087i^xf<6$M!o@3s$7U?Ai6JzHnhE%jlO+kxzfURk`j
zur}~$kc^ozzviq9^kGg?QC%)s4)bJ3?DrKZ<3#Hd2Wc?_AV+g6TU*K_^k_8Fg{WYR
zO5w}0TL#b@>S0#AB#+ywO?kdctD=v7YfZK;6(s0M&H<$g*sIlZNU>fOmwQ_n#QLak
z%{<-4c%LG6#*WzKQPt3EzjyFRk|BKCT%4TENy2L7qu(8`tD!{SdnQdgBXG>>KipM9
z!i%A=rG4Ag5Zk7wa`}w`RX0aZTPvaCt)%5!gKGFBr6kR1)EI8^v7Dc6Q^LBHU-j3X
zsNqVA*Ujcy6Oa*!&;JZ$d}ROh@@lXeKG2;)>5Hb&9~@QOpG!s`hl(dZr&Y1U(f*92
zrx_^xdwpc{4>Im)s9+EQRlF;c?y+0J94?YeQ|3gJaW3z8X1}irh9^v)J2_+y$B%Iw
z(@|4K`j0m%H+v~#Bj+A@-vk0|tUg9f%PHf>y<-WR^vUR#tskn-1@J8HE$!{fMtzmx
z7k{ToIBnJ6Y_}BvNiR-Q>&d8di1PybHAVCvlyTU33P2=ru*qf*8IueBE@Y`IU;s!!
zx4+QTC!4YyfW7Xf8ttPS|6O$}Uiz6F?y}ExB3A=s+<!4^wo?g9McE4rJY@0Q6i4&?
z6M$*qslmhw5<cAfXg}kM6c)6Jtk%^6NaVZxSY1=Z<J0+?3kM`{iius(>mGoWcgSUV
zb47gJS0Q1xCW<C!znXJh0MOcLyfY(A0i9dvf9`D)#`>g)0|I^kI~;Sor|!sOR)AIO
z_HIGUE8{xcp$~BK^YhzDZ{={&kg1_kNC5YQ?Qzed1MrbP|22J87H1RFOGVT9P;A_t
z<!Ukkj>qdACe>x}_d_mYUuRylC$@Wwa1o&GrhJX5SsI&o5|iDoaO2oz;_>2nbMQLd
z(mQJ*h0FElEsVxF(T$$eCAnq>)?)i>gu5j0T&C+nW<CezLr<v2Q8O?weIKK9TpSm5
zf7A0dvg0Nj)|!+NQwS{C^1@wD4C5VkJM*is<8`xxbs;XM;Ql?}3M;!PHni&9bN#}G
zad%^Lp1m-E@O<w&gB4+XbYy1=?;sogcOjl|p_)L-p%|`1EW&u3UM@k4pB=ep8uD6-
zjDe@&gBMLx2u;65w;YOP$K6|h@E6M)Lz3;iB=MtysLe9eWGBUeZen9GA=yUY;(13<
zyh8wIeZP5Ie&@iUz1{S|Vn*;|>^GBvjR2lnbh5nO&xu24_mwW+G=y{4bK6>b`OzmN
zeD{tSE}VTia@$AR5VGwoG)S@hI7Ex6vry+j+Z&f%M($DJcK8|Ri@=ZOvbj7V8$8w=
zPt8I-D!k9@`fDe~kBSO*S|SX5I4)d6XZq3r9%zUym$CArQp}^YuU&j-JQzHhzGuUH
zN{`sdbMxcZ(GZ`(GJafd&~g)5)Q4tm)yupp{J6y4H>#2=fbsrZZLBx+q4SsW@l785
zm{cjSK+YA!{l*P>jpq8m-jzC)c8ed|ixbSZlnbG2CTs4MNeWOHnoN%`@Z;YXR0>az
zFxDlv?f!O~0$F+#lOw(Y=(+7iE-RZTu7o_fqUk|_GGlVot}y|8zAxJ6$#yZ+kqHR@
zDo%l857LrFP6*;p+k3)yio`Khly~Ubm>x7|zOl=f6T+w8A4Cg?OCoPn#P;4AJ&<!<
z6kQ$?!ujyKOlH|qXsk@%<(R4m`CK!cA|=8Yrac_YsVjrMOD-<;5qhvERAk`KRS_)t
zqmq0%SQa09byR;mqz8LDw}qcf62*5V`aidCmBX^adu&&H^&k|_6KAf8q2EBF{yiOe
zWa9{!tqszHS&iNG)fM6xMf;<2Q$_&~?d9#YI->{fEy|Z}j!NL;`da=E0*bg^7Z|Tn
zpa*XIU4)M)Ng-@H{jOkxqu;Y1ih6(01BPv0M^vMv@$&h5W^F7=ILw@RrdxsnUY}!J
zeTHQ4PIps&(k3!`iAU#og;GE_<fy86p)A&>?vS~%M8;Qp-(PHePk~7Bv_ypia_F7i
zU_C#sjKd!#CnB8mL4CTd)tM}hn}e=qQ{SlIoqny9t^s}6{XjB%Xi^@7D4$F>-&RGL
z)Ygxckp|$-7WV0GnF4+wR5Y?Y)X;@nr6XOL3g4@v$2Gzf@zS5{ao4|U*qNSZ5%_}&
zrE^z#OSMTT&^dQMEL<J+MKy1nsW$}Sy;t+OzL8KXEMr*YwK|q4UUiF0Hv$d;<IOWE
zO88+%epv5Mb&MSd>^c~24Dy=tE+16M7(dSWly_JiIqNUX2M3zK>V*4FN+lT$TiNM-
zZmZ+jocU((Folw%pMPH@DPw?EBgeRcI)0oNkY%$m1D^38Hwt5v(SOU#;Ri?6@V$~#
z%3Wo1(7o4QSpHZUTdGT#Dw9;vxBrX4$2D_E-4=2!U_cpdNxyuwLsigrMZ>)EIRX1l
zKe%SquZ*O#X^*#U=msUC?EXgl*qFrfwfI_P<VjoX`~6%Ah01p>&YuPdh#TFq`<OBs
zUtz1+3M3SA-*MdIF+l45-5H$%%6Md#*|1Bo0_xop(v|uKkaToexAz(uCtBXpX$Z>W
z($i+M89ECPe_Plsx}t=8HoLz|kC8>9;P4h+P7C03N@1P0Q$juVi@ydYq|i6R$xwSE
zzvz?pY0AWt(0j*l(q+00j-D2B4O#%uJRn($Wr`?I+-yB;FN)IKrYfWl0Akh!=NP&a
zaIm(@(5q`>o=&TWPL}}qi7V-IOvocU`zcB3ECGDaYt|UJp=;6Gw~V!{%VE6(#6>^k
z!--s5He*Ww&d2Q^M}_3jmu2YqwRIj0P9Yh6rw345<a5Z<lEwQ>6TYdsT$sYWG+ldw
z05Wl;^?Z&rx}Ef#4f@WG!XBCumE-2nu)oXc<cuV4{&(|kq!1hONlYzHI-3LY!A9#z
zcL`(<PaAq&!GdzDOO1vNW>9=<=hOEe#8686T>oGdGv5EjuvJFZ3{I@Jc!!0FqC)eq
zuQneudQk;JhT=`3EBmaCm8uB7nLkop-pGV$e=g<zH)R6xTP;mB)`alBXNV|c`NsOr
z140j7O+f!mbKdn|f;jm`-?nCi31>Q#eH3ZN@bRob<?%HEbeF#J%yTO<COs(yA9Z6;
z=Xw(mp(=m@mX{2&$CxorAZhpW4PD63vG$+~<HvZb5O?we7Oa+yY{}v^f>_rY6URP2
zWIqpdRo7T?t&BNWE71^S_jmH1b>l<Bf%&TwciB+*OI&a*gCRWPweBwY#fw4za#wfs
zu;Zio!ruqaQDOM=zk#tlUR+7t%5AL3iJ!GLNgrXM!qd@Wb(6!qI5zjfsUVdL*Q&>J
z=&l$*=q%5x_uF`J@%a{QJsBPhx}QI@P09c|;yZ1B+id8!V@)K}0bX=!kkq?Wst-@|
z{pdcp@FI5=6K&Lv5BvD_+Lvtg;q>&o=D){zaUZper^1{cGZL+rdq+38&8(8xU$RmE
zdgP>_wEzZnS6LiR*x>wB?y%GfFaG&j6Wg&{5UsU{8D1?4z;2_L@q762yBU*b^*JGY
zB|^(o__V>vA|s2bw|v;Pso>c|nlLU1%G~6=rUw^2mqKma`BB7dxBe9#QQQ*Qlj*!e
z4|E3euVu~gBbSBntVy^Snp;Jwg$wJ!^V_D@90dYsZpqjkG%b#1vH{wBW4d7ITzUU#
zfFM$}Rn2N*B$4Buxy^?LU1)f$e(SrX5C+(6ei%uTMtb4)kI7lO;8^CFTBj|Hiu+V7
zn?__XDL#{q;k+)GeN1HW)DywvL5DoqL0Ob7tUIL=qYIDN9{Epf%v(sl%hcr!KSjUS
zmAZaL7qX@p<h&xpP|uzB(QLas3Vbp0O;6K>XE*9=;_JlmXP|1VPOk#897s~*t<r@n
zb&tCKa7kh_i^f#rs3NW|WE{-cxWChU68YzGDcq*xy?SnOgS%?VUG7R7{kB8~yUt4E
zDWBK#y<B7zIoZ7}GD;6VQ?9z$6S6qZ^u1uWf-<i85RW#E=)r$GbxmG!%Hb#Sg4w#B
z3JO*(WDM@5fEbm&&ftq2)-*?X{xVj@4u0SBh0_$+!D1aTR4b1kp9zJf>#Cvl@xtNq
zYx>al`HoiVRRyFb`74$Ps-sN!E{RSj1JHVO{>8IEMLd@Gdi&l1bzD%IA*^Jm(Btg%
zDQJU_Y`H9wL8mnE%DNLZlim<&fAw4@^C+Qpj4Vgu9}RrV#=n{|X9)T}UoUIDQ$icr
zLsrFxn)vU4-!r*+BT#9%>mHFvMynt9e_poHM1w6FQAX>=(5{-+-lD3EwFg6&#Dz4m
zZ}<Wi8@DMuZo8~CQ>~1q#D&PEyBhdm+v)T4l4bz1b4=e!DyUZ7??E@Cj^WPIxjY*=
zqGz&#!WN-|itA>f7yhYXgN>Z@m?QxTF&DRNzo&xDgV_h}w5#HxL2O>Z2KSQ3HuIb<
zS3#bIdz=f0RM0I~@0N}KhAxyA5qmOJ@Sk(qwoAQajNmz+`<VvdQm!6Yv`YoA`0vcy
zBBz8FZYlPu%oec4J*m|Dk1|@6eE+GpOA#&qGWU>8EZ~W5ety(pWxSem@anU3^60iM
z@jz~`1sJ>cGB3X*<Fu!1H)EwNx_C2^st#L#`z;lg;*C6+yLfwz;foZG)%=;L4BXI*
zV_G-YRg`eSb;xULqBtft{;-X7w*bxW<HBf0LhY%7{R6=wm}euaP)oG{ksqfr$E*}F
zFSXerE=v&YN4=fB*)0GvgP*xtC?L<jmls$?`7y!HX~(f{0Li^I-j9vt(SY~UtD!eM
zxGA{c#Qar&<JVKH_EY5W5vM`CG8ZQXebcaOv<H~I{HH@yR~DoELeJ(-vf_u;81uiY
z1l;6T5VQ}G#sc%N4(8s>XeO`nWanN2crN5Hp1LTBmDTb4&U!N9-_F-b{PpG#%a@re
z(Ik#kzgC^(_nR=S*<YRDHwQ=On$iD+#E?l;kg`OhM|(MDNC-3o>HL9x{qZ80^d>+r
zhl3t>e(&irY%+z9LPHE)Lc%B;Hfpe`m=5*jD|kGmOgH?A6hEn15c?&rJCxp_L$3GR
zzSf*DfuvftvuqgxxZ=I`EaU|pwj6B8`SigUnDfuF8zpY|@SSXao@9FL9@{NyX<`g<
z54O<p-Q>eNh41Po>*+D-SfjpPo)Pe-T-pEdH7~v|C{p`$Y!fOytbIAnZUk2uo8SHt
z;>F*~Yd^Hy7;syZZ_k}bLvX1aedx2!jkoTI?Ob<b#9(Hhs;~(v7?W&6yx6!=sIjHu
z=rJbbQn@!9>$8#TZB<|H+suVWmK1d}N|~|ZwegYB0RzyCt9!&=%ZYVvyf>T}S@ER|
z+uM2%1F&sfza;C%i6uo$!P;SLcs+hcxa^QVu$E2Vx-HL%IX+&p!K>_eSPK;l59mW2
zacAs__{RP(R(8*FIZ^Yl`7xzg3PkkZ4_z?jME<WY{&?==#$7WmDk5<dpq99)awT#i
z9mh7WA2Pg1F1mT#Y{U1Se*fS;#|kHgTa6Vn$nYV>!QQL4RuAL{LU-C+=fbCS5`27G
z{HVE~5FqW=1JfV$;yc~AQOobsg!v8uJd_xCGG>z=s0d5fi<|RcyQD(yn*>3W|MjjD
z%5|Z7OaFg+lz5R=T(xWCqp^#D!*AfAE{sZ^VYPb3i(LfsOLZL)Ja|7Srd2@~BnR(I
zaE9_>RijE=;(bvRTOz#fj_W{2{^9{qJ%0R9rFfb!6i0_WniiZjI?yy}Y5ksE0984|
zI$eh)u;HXYVADk%kmmO;e!eJxU+aj_w0tRi`C^bMH&_RbJ@c;EyDW&OVTXF;Ss8Tr
zmeZW(p##VLHWTs!!gx-5JT19V7X3qNSBrM&K+5Ji@<~e(tX68JtToHw&f2Xbe7kg@
zl<c=wohXWzW3%HKhU9UTTeFreNC&!V8T|iz6+`WVk;ih@6wqpTK>PP)9mr7&$QRr#
zf&8sena-*toGBw0>c7x|Am8`W_r@gg^`jbJIxi(;nq_ft<J1KXBhmHdIB7Jwb%xTD
zPDV52e9+;q3%AQ%mlGsqv9YS0mE5I_R27E|jzL{G;<qwhy)KJ%4l3OKtg5K()A-lb
zPY)ub$O#D(a%hrhbD4vxhS3RT6%|Yr`0J!QDK#jMGxk!a;@s5n&YPRvZ8QofsHGLi
zzg57XxypfU-Wtg8HufB*>O+ptu84{zMdWxaSk7jriG)+$Ub+|qpgVYE%id}dGM?%X
zc+9Sag$Z*1WKL6I`OsK8Iadk)2LJ&7{}h*ZJk{?T#_gFMvNz`(=QzjSJ~v9CVPrH!
zl1ha(DWp<;8%R_lDoKSRRK(}DQW>R$L>ZC2vLgKa{(b(qpYgh$>wR79K|d}i-C^RS
z>WEriq6yrwj;%_J&_X`C)h6mV6ICzs$kR$q!At3v@B57ute27;apYj(Ew2;&_2Xvn
zEU2a`nU9JaD7{?|>zU|rrD>7WwtzrCdxefiRFtUlT`F;4;`$fwL)CU$!p2?A&hc6_
zOi7rYP(Go9UAJhezKK?_+c<fJ&RH5hJHgZ8=f=R(%HodKUJ|f2pvS1ckcI_G)w>G@
zw9zZHmmcT?@FCBL<U|@)eJwICCuo@eLp3!1E5K`En;&z@H0)eEQMK8Jf*R$#?8YY6
z@OHGMI%fk7qtd?G#c$QbGmFh#O3~I3+Amia_=Sp!gYVOMtkf~Xd?b6Z#2Oq-9ytuK
zs94!3bR|kw72|$h6AJxl4Tr7{yy6d_prNdjGi6Z;|Hf4@6$h<hZ>7S)+_PG^hVAlc
z-3d8Nau?)Y+hq+r_SuY(vzl1vGUrawT7~_l{LX!EtwCvkS>h3-fs7w4n}^veF-q}T
zuh$)Gh>sh8?!7@BvtBW+Gh@Y2TGH3p$k!UKS%udGtEu6uSs%BSr$YF6x6C-FqBZQC
zXQ*?}sNnjjO|F^?d?=Y+y~eZwfcj#@h__A|shYRCR)}(A%l<Pi!r=gVHsgZ9u1dIC
zoswMljU69z1g|};2@qo&|8I?o0_N&o<*mQDNCrQ8e_HSs0awuHof*FzI?5eu^msZ)
z-j#pEH0iJc=7ElNDIzks5$PT3H8Z5Hf34D4Eh}(Udi3tJu{72Ur;hAzoFW(QI_g{u
zvV{13L9L&oB(anGORI9mB-!J{6?O8p1%zHQ7`Zngf!iD775Y^s$w+fk4-*~>n7Do<
zj&ea91qLL4Jf=^Q|GhD`^>Q}{Q6fy83&gO<yvMmZXOgUm{-Ngb#0*y28^yTGi{c|%
z)G+PF6#1{H=FnCSGnoA1Y*KG1jINBgr&VjG$!i%D_S7AwVA_?;3_rR8562(6u4z9@
zzTE8;WJH?4ktg2H=f(x_V-`&(o^6gaIXe}vt!@IpL*FT!f6R}JdoK#N4$PC|i<YiY
zSB+s^j=Y81Z9e3@ekuPI+aj5=&5>q4Zv<ay7jtDwcyWqtoM%#r4YMsiRk<BBf;LK|
ziIX@lw&WUxkGinqBc^ii=WatV`aF^_kidf%%R6WJZgZenMQL@x4nq)oC|c^eh6mp}
zc#Ynj;Kb4g(iYr54B&Yc-=#H*JlK##_9Xjoqez3xjoO_C@U1rMUfuG#@!gM^dw%iY
z_S>!@@&o$7;_SC}TAuSxZ!x_#f)5X?)s_gJ(1&7)Jd;bYJeZerao~@E0Ol3vZ+yk4
z58cie?p|KvL9K1pzMFYgAZ1cndtIs?2(LVR0pob_S3$$$$J0XS8YK}sV5SHD+Z~2}
z+3{iXPmMFjxJ2;+Iy!#)t_vZImt#Ci{CM)1gNKT;7+!9!v)LM@3(f<#Zbr!ppkBwR
z3mi`3xWn|bVVRCDY)bjvy<jScvypCFz9dNC(c7`bhdNoHRwnM`7rp|y#>cHZ|Exso
zkgTZABo=%Yl|0nhCxp9-?i}(Akiyy<(G5x4SfG<ZKi7Iv1YeprpS|%<8l6RlYzcK1
z?0e6?_D_;1u4rdj6+M-~(e<;Tl7me6H~8JL>#7(QU-9I03zb9L!;>>vX-r5Ru6Uz$
zQykaj;*Zz<3Rs?cBhX|&6WIKzHZNaF;J{{ahmoU7$S1>8omkHV4uMvMGh-`}o=SIJ
z{aG1zUtz5CS;vHx9_F(CHc}XpQJPmdr-C;fW)eMpm=JbC?h++O8of&07ZUW<aObgG
z8`y6#;fFx#yDbJXI8K-xZw^z(0IBsm>nE7-wxYM%_Ny!^pX)lz|5*cdD9tezW-QnP
z8&}oG%HwzDMzT*|3k5&KNr%L;KvSsMc89+r4y*m>w7W||xtl(36c<^rH?r>K7Me2Z
z6j1a#SI}@eqVqoUye?#_6!rd~t6<(Og(cII+Gut_Yv`hu9@qz${AX&airfbWkB0oD
zV?@%k+ZDZfkdh!M=e$7;cb|Vb=4POS9+%z?b64tv{GH^Fe*WsH(3&uy9K^(P*F>{x
zNdpM<Ru7$v)Ig(Suj7MkSZEnWHOT&E2)+?!nvJ(KaVTX+bZtHhyArmYSSe}@DsOY`
z#xk`~;E}8Tem-5ism+zh?_&ZI++}d<DFvJ53cV@Dx|r+}>%35D3h(bb$(>1};ugMs
z-UH^kc;MdCs$3Iu_$OmZvIWtQzd2haM^qOdpE~bo_re0!OUD{}s%oQH^(H>{<$XEo
zgU%k(wgQ*qyqiUHv~iQy)=e?$EWFO66EKoUz~?xFP~R1FbRL&wAFbBGR|?0IuN(t#
zB&Z_~Oz6lR-xAO@M90~6SN1jwTf<Mz?_rOabi8AvzItmF4d2x;mTInBL!rdVWWF(N
zj9G7{`^}ev<$t+H8y2h~-$rz!+w!|7R9i?FeAB>sD+#avHrT+*WJaq<0}Zca?pF*Y
z)bL}%&yvYV8#u~yB>uuI72mEH0fWcNIR19K=)qey@M)V}?$v1u7QY)2>v5GwzXVgx
z=mZ<s@Z!=s(a%~K=i7Zs<AF2^+uzKpK4}AyI&G}X>zcSe)wF@)DS_>q@^!r(ZNQm-
zs8bU((4no}JDOVrPrhk(s1>jQo-_JB%q}&=#@fe1?tIuA`rYs58*8xRG@j~=P{kW}
z{q9^#=RkutwQbUV%ben@O1rD1f-86T-u>7xPaan?d2G*R4W1X{PnKL&LbjglVLi=B
zlK!tD@=Yp$#sRrQYbWI~M6Tnes>u*}O~hp2f(byT+P)nlp|VKnHZi=&+fC*l$XSt|
zMnL5bZ~B<pDr{Alv=?~ZLhj>D7|j1<1)~!wKAlsNs2&q>AyMNa>CPa2iE}RJjgEa<
z-QyB?J;(Il1D;BfdgAu@l8Ghk;<y>!zDgXOm;nkePnM86Jw0bP9<czn&|Si>14OY$
zP*i)9+Z*z8aNg9ZJaga{c<QQMCxpBc-?Ab-%E;9Cp`_YrGuZFVW;r7%hyi|aMB9;S
zvLtEm>djyV-u_%4gtGY1Cp@J?wecf)iQaZuIK~tfuVl1HU*<uJ6f53==|=K$dCtjS
zT_%t=Gvjd}hYMG#4GR2z+)D0#epkQ1+ysvKrFU41aUyI8sJwrmgM3asWxMURF>Ire
zQ(tq~(Wy1ALFGj^8A{31e!k2jt*hp?m!sIwNtJ`^jlyrTD7x?7HD4o$&AIExCb~q5
z&d5zZc{o6>OUnEGrOprpna##l#}`Q7;MDcOYe&fQyQ`ypEDa&8v*n5l>mT{Py7##n
z`#3qWitXvDTm#5-+;BY1c%GcLt|@LBoFIda7uf!y7{K;@VQ*fapCjY11fPxQnIxZ=
z_VYhW*N0}Ru-X^NIZ|ff5BrU=Y4V|Ve8gULeK>HQChgq)myGVecwSHRFL@{D(-dc>
z9we>R|8Z*IFPZt#I){JVJSk)3_8^3*2eu>K)UA{`((t7GXS?JDQsY!mLs^k77*-Fx
zOG}y~1y=M9RPwQ*r?Rj5PkUWB^ZEg2Au&&y(g$h--Py58bb{k+8w*Su)WkES{*i6H
zjgqaeIWXt$fO7T`7C3rm%qu7@kj|%n&QBO};k?je)(K%2ToGkR`fphztG+FyeXHZf
zDWWMdek&8?YFn+m-Y$`EXCbls94}H*d9O#O=>SE;^;pphHr)6$xjJPBKU%(U@0S{7
zz|FB|<L;^KSRh%uuYQLh9@U9=d~C;nJpbhH4v#pn@KVw7<Clam#Xjb0@gq9yrHtCE
z)^Xx`iKDE~T_UJrBiGs|PKR<uvxnK@-1vRGgComW40kGR%OAO@4Ojnk{>OHb2Pc!)
zMz`J;$2F6Vb$J5Xu;SI_4Z+-e*mC1K|1Q~;DByCt-2OHV(r&LQihIeAJ8hM@-WE&Z
z8{RkH77c08!_N8KFkTQlGH<NB8YzwSQ^6J6yQtuhK$+QfM+h$yk?dCcWw1<Ba*uHu
z6%I}IrMi9*!6)vog4c!1q1xHDw8BGFxOwL85>rVGjSt-G94c18&qQm<&Mj2vEC@^Z
z7bK2?^&_{0B$SbR55rk|D-~+Km^xOsOQ4I&kf)lr3ii*dygqe;3VUxvNtp&nVxnGS
zU1GT^O5ZAWgaRszXl-ZzCMAuX^IMwNS*qi(GkLF1ng-w9oh<(RT7{-dQWHV-8aVp3
z_tW8Y8Z7R9w>ET{r*(b)eZEJvF!uS_O&=d^hz>j>)7mGG=PRWgw$iEiGq*h^!<i0t
zTCX-YC@Nt|WJU>ff`*j)uR|_{GoVYpJVvTm8D-VY`IcP_1@{a!`wi=WU)k%>HPb4n
zV%Kc*^QsOCdwaOhTv#v^mUWe9*~f#oS4j0!SQruNCAwp?E=+L-LiBZYyz$hq=fM&S
z4>?y2x<u#!d3twL?~n${UnxBNutFDYva<Ire$j`xCucep?X^%^bTruGfF54G7%1??
z*${|5xX_nIL7$(TdK<^|aLVX?)tYG|c%?hDs%(gg7f11E`5JwUpJ-gS?TrasNRp;;
zs%vBK+YRkDyY%r|bWxm3vKeHB{9e?yq~lWa{mh%7j~gOhY`$>W0-oqO{IStt;BR+{
z`&G?)cq<s{GEP}7|Laq$_YX5LT)JYLu%;gN|5szE!2;OR^1$!LAsyTmuqlJ2>tc*&
zY{!E5GB4i0voU$0gB07UQR{9dKH8S_<L!^-9+cjFTqIiuJ5D^2c(y>t{$KgBo37YE
z+sseXwCy^`<UhQ@uaf$IT~XMiY{Bnc^l(f$1JgQV9=3aEqVC^KXZ=HLA)#?}{81Mj
ztD0U4ZE01-eO%7sNAhf8>Subv<qB;S*!bk5`8P#$m|OW^f0ZqS{n4+}4y0j+a%*LP
z`zq8L=aaaeZwn1RQ+HPkQ!qnCA$`VE99x`@e!O+g77}NT^iMfzVesAu=Q|hqQJ1)S
zmc!f@=KMX5Hr&v_NJibeynHqc7b@F#soe(TbPRake^J9vs*il6UXGLT*+X6T57|Jk
zw4#roxGL^_Q+*-9@(XF^W)(&KXAKf>w>kavP{z9lIqNU*G!cAO|Fm_^Sc7OG?i2J>
z!1guCU!yq(iOG+mP6M3QFi|*Ib5KhbL3Z8ylM#Q2)c88uhiCw+x{!uL8q)YsU#jfy
zhZ&-=?DNy}f&f3-Ur_};R$|Bvii&0K9ATI!Pmk0jppCxSX`)mNGs^6Wr$YV_a^5X8
zXG<%1a>Hg?=#4N+(vCgp_E{iahx&N2wp)U3!g!$f9sv~UJW)@iE)cX&1AgvjEkN#W
z*oIxFmi?!rchC2o3q+BOtL4*WZf<UO-#9<Tfoy-@eRx*?j}YmeT+`EU1{JqW?pNPg
zBL5X9UVg&$k7$a?s7s}o!FQ`17R>!66`Y>^cU^v-p!XR(4+t~`$qT}V?$1t=Q`H?U
zBh)z}w7~dAW048ihrQvOyf8*qZ20=P)BG=CelV7CNXP{G9hS5{==GCTAy0=!y=IA?
ziAz~+yNy9U*8H=PWfvLqzT7?U)(qjznPgK^VFV(Z*gNiMwUFn064wV!OcOSroexxK
z8iAo<!l?X_52V*6t<<|g)5O*@_ah!(GladzjtgF3&m!yIclCKnOcUpfc$)R*4ZuQT
zQ+ZoOKEa3<F3kTqMab;RZ=@YCfVo1+vnkvki1&ppq(svc;ca)cdsnAEd|G1VRmwIJ
zS#<X!zB5yVu#4~I!mavH8p!sE^G++#&XfDiarHF8&h;>Ztwj%Rn1ufIbnYPLPh?l`
zDw!sVX1$8lx9GvMgM8I;THOTmkQ=Z4t{H-(Z`CROAG)9)5-#@kdk@i)J3fa-vqb6n
z_XltL>w=_9@e!M_K7uReF;Bh8UqW&5WN!Hc3wmpk8{$L<i3A7NpJf4agxTcl(c@7p
z7#F$2ns_)&6l_h;U0**>Sk*B7o=URdg-WP(l<FA4DZFy{((VO9{JN7^o+lI5q;9?z
z5;jgKoKV;zsJ}$KsM$&Wy`lq6TQ0k=>6#$o((6u*C$qtG1zlvlV}N-|a*Oe{Ny4ci
zT%xIz9V&`0^ZE%epfHBeOBk3U-oF<UbztWNTO;%Nr>=B38IYa&=*A3jI0zJT{kdQ`
zdzG<Hx;DVRE`d6)zeEJZyo(&?21e=rLZyE+P^j!2Kj$z{?3wzI8S#)8$}#J3^)?#p
z(?9p{wD$rr8?^JK^Lc(S5#qXhrh*E=K}#)Z_m+qq?p#abHw2;T;#$E9eJT{S+ZT!m
zvV)7gPE$yW5Lm=MKA@OQ0X1V^4Xd3TaOiT}9R^JlR_DeKuVYa_uyIkqv56DJ#9r;m
zj~0VLyMYenQY~=v3cKfVkQ?}O-=EmUB>~zu?nxDRXn}K_6<-mR7cNwfT>bNKCA>+u
zirBEI38vwR9~OoAA^P6RkLH0=Ad+BBIrc&mJQW23`jiD>g1>G_!)Fz6E#1!G4%GyQ
zz8l5|b_qeN*B9@Ua9LQ_<oie8Sre{hxy3wf6#-c+4mn;c58^Uj_wQP1!iNWZYDd?I
zfvsTd=MC$XK<Y%9w%2M+h^-CWW%@=O1Rrg@!eCQ@mk#D7BL13SRw2Xw&UGc+uVEjM
zJ*El;NpDg|9%;h<Sm9$dVJVO~rQoodTOH2WUwqaqtOa$UxqHoqr6DBDKHcNF1{ki;
zO7%$7g7cxlO%W3^urrh~p?FLS_A0l(dFo4nHm$Yic$DPftjc_mkuw#ZSS;ne+)jo0
z{cNt3BZ_e9J2%%W&<2rp=??t~G|-3}PSQA`3=&-O#m$xsDE;)dm_v#Vm+ikB*;lK8
zUiGEiNMORFEqB_>e=&f$S&`d@q6Uwo)_j<~yPWeh&x+=9u|WTY*o@0fb>Jdd?8Y~A
z;mEeDmLscm;jO8K-xX0!_~LA4d*y^4NX0(Y<tWetVV(4blxtcLue-U2kI)DGjm#)r
zHv`bE=_FqWP(jN`48wow!<3nyOPHDwSTsZ=>_0_=V2`F1JR1xkSxbiPudE4(X?i&H
zf71r4)~}cKVFvK#UPtv7eKW9-zhx@BiUI#>ON}gc8o;<jK+ats3(zos>c-I40k^RT
z2jeMyVEnbWvx>KZ6x#_I8(t>FkH{VSPhTJIpW1qG?{<Kku(jH2?lGZ!E;x^0K@V<j
z@$t*tVGSC^JMDW$nJ|`Hvc>Wh3k0T0ULUZtffTPLtH>cH^fsT*%TUz;4Y8v^jRLk{
z=ecdNGoA^&di&Z=9HxO*qTnB{hqe$X>@}R%s{>_msls9xH9@38?{=5yY8biX#~s<v
z0MS1)Yad@#g?hVp2mLp!2I8&HR?l=gXw%1q!rT?0JT&}V)b`b|_(tloxT-eL*^idB
zaZADQz|iq~HmhOuk$CQwASzTo%YU$^NEoJS-7~tmS1;dBtRwTb7DyY3Z%moz0IIZ%
zvt9Nw_Zhaso;eyIcjCxPf%b7C=k2D1Ho_L3nQHsCzE*?C>@)grBJ+rsdm`-(D{bHx
zL205a>*Q?kXSc1HeWb%~oBw7B8{kk}>pxMd1hRV`7Hf1*laC5ddKA61hH8P{U&brt
zVS7c}!{*LKQpiJo<BX0qcy*4XiQHZVrBb9x>lO}_%1FAx$OJI$bc<nglY}zWo0D!{
zT=?AkXbzVKz(9cXnOp0{!6|E6YB7@=`}$nGr`8h?wnj6*o>K(ME7x61-_3&&ORBvJ
zTdjcCHa%>rpC5{ybKLU^d2l-0Z|lcHmf#}otoC3XH@E@)yJ8U!{_ffy*b%?16OUi~
z=VjSpl=6O4`9&Taqq9eMkme9qCcb0iat`QdV)y-K#DjfvJwc{ZW?(`OAo-{N5LQh!
zSt*U&c#CQJ#BN!K1q_FXKiz{w<?P(6jzDg#a;d%O7itRX?>7WI*X$&o1poYbSA-jp
z&wK0Nw<eGnbn$|QZ9TD7=-B0RrChi%gu~^eoC!E-%~3me(#Ti0b|mjQ!-bu6x!VVi
z8^g$gaedVG1~T}(XVI<gT<96mln~Io+*>K#36ZRy<i^mHz@4sK_<+IClCd&^k-fN&
zzpaO)I`$q`-^+z1XRWuho*05?&78SG!XRlcJn|(wnG4$<v#}kMGlUvKIX^RSjQn}O
z=AzF87bZKb(|r|Z0E+Bt%8NY{<mo_7KJNf-+`od2+O)y|zL!z0Pnl1V)v1C+7B>&B
z-{TAgSM-;AlYkvPbcPhNC{(qp;=yfdVZ<6Seb~OIG;DL`Uy?2%IB52S7cIucXTy{9
zK*VnSy_kl1GDD@J<#hocUawE5`BC)XpiAD@U;h@!(-i}t+|Q4R$8HxcE%#X;56Obj
zRcx4@9uUN7Cy3>Hj!XEv=z_SNKF=3(c8s!LU1MCo0vE^pB??DaP%fx^@L~W5&Ni-&
z{CZXx|4JB)$;7gtAbx?}JChS_z2tVM7>HtfsN%zSMlARqBk6v9mJ5#yP4}M%F<d2l
zR8QnB6O`w!x4P`$!PAoOW~BFsV|Vdc%Plk}9H+O4)wS^=BSP#)&tnP9c36E2?&yH}
z>@|1h34SaPH~Mf#KoVy>aCe!E4g~k}O=q(NG3JU_-t2!;sMWcDnC}q-LVbU&JHJ8*
zW7|r0RMJ;rzpUAXQ>z)!-rc(WuaF2jRc&o78<)XS(O*Vof9R0(^MDIASrk30E|{cz
zmqVAKlE#WcI{fuL8@az)4AqiTq#6emP`PYNbXg1?=p7Ym-U1SMb!M+`jhHf;cJit?
zouR{eN#TdF{wuNbl>~mWR>5AUtd`x^=uj%XR^m{*B>v`+?Bb4AMbQ_ZUA&9vkkwyn
zV;3xq6I1t1cz&qiy*bmb9Q+JW9KNe5r7VLhW&`S4)@k5j=kxX9%YBge7JC26uq>ub
zEWEC&)WpEFw!J%*bfEW-tk(AydEB_)E<|G!1!q>?G>IP5f&SUBl(<esd|^9irTvSF
z1uOW&r>B{)AaZSu$ysIW;<@xED_k2d9B%mc{SFJdA4H!?y03z;)_B#hGy~_w9<Qp{
zrVHNBZ2vLqmd{O&haP;SgYR_2*O*%BfuHJ{nbU0Q*sj?n5g^9G3Aw}9^R4xP<85oN
zo~Z^-$4^Dhl(LX}LE&ZHJ_9%*^{Gqbh$gNLNYy;-ri;ekQX~fR4WZBFdiwWFEj+zy
z=e13Bx~RKPKL59}F-#hN3G-{D;FSHy_cBF2><W;`z{e(VvrF-B;s_P9^qA2mHhTEZ
zAzIeM-VC@>X+b%oG_;i{n&Q;eL&~uO)t)ov!2i_zNYqDdOpM$;DAKEoAHOkKK94P-
zT`*yB>^vR0dMc$-cj#jE)kMdwt^{Z<2#t6PGLU0Sozp-P3p@0ON@R}$bUxW2>9~b~
z{nHz+a9c9*naG#MJq&AjYu#%2F@S+PI33;=bkOlv)mYBCkJd1D=)fT*O9lqJbBNX(
z(9lZqmHmD<8{kp(xc22E9Z&WZW*0bX;e%&X_t;_^ust#<&Y?j^ALkxNGZ%Giey_Hf
z%4Q33u6GqwthI6V{F#HM&MH{-viyXFnl0oAgvjU7mglbDz}HkSkJFO+N+&gKVgHBG
zy2^eEM#|N=gR3-3CEnjMu)-E9?7vy>x}b%8x*rd?ZW71fu`|Yztv0|IQXl`jLK7KG
zv43^X1hM_kvHXm98*p$idR}{09X*dw<^PRv;;A%O_ZABqcrRQLbZ$}=6YW_oF{N`P
z9bDVjw_3w<^GS|2e-%`}SUj+;X_R~&r~J7r$QtsyhI7A_D`BsgK%GfX8`)W|P4{B6
zhRtzSt98G~BU&FRvp$ea>J6>Tcz6vUgNS33<dwyy{j7zS^v}e|)X~@f$pf6}apjEn
zlg433ud&Fi4#Kc8CUD4|fMRpg!mQDic;TF~{KA7CB8@6vTNz>nSM_WC?>-Snj>G%j
z)o1n*TdQ|{>`b);QNGH4TB0a6AMcQnP#PdOb4S_O>MY=Sq@F;{E+M=zd(~;lYk+vM
zrFbxu%>sDV+EowD@*|OCe)QY3enRG#g{;4sIh^jfG???72XSM^mo%3?B2RxXIOn7p
ze2mS`5!2?v1D$ew3ZcD3$FbANDrKgSY@xm>w1gcg!wcn#>wgiVqTjDX2$_OsxVZeF
z?h@%%IvQU;xXd@r&FoR$%Q@`<_n*nYc`|!Q*tMtg2N9J~FV$6O3=u-~d#f~ONe%ly
zzs%dd5!VybA8wN{h64U4Md&z1uIb-B9@W`M+^J2Fe0J0b!gqM6_cu<E`>mS@Gp<jB
zVA2K3{Z>P`nw_snyc{Fh4S&C~N_$Jx4*!y4TVn`;d!+9Ld>$rko2lC^b&84a2EMy*
zzc2vSQ6gNfa)2CoA2bqD^?>NO{@Bb`(*P7^PH-0K_mQ!gJqz=<lgR%80096043~F2
z)omDu?Y)jY!?7LXoMX@5*D85QiZoOzS!EOrB9)SoSrqL>MF^Fa^Fs=uG!&)m5t$()
zz5cyF_aD#meD3@CUf1ccK+eyXjIho4=zxesA8Y<~NZ^k{k64A=C+Zk7MmTYLz<8fm
z56g_ttK?d170cL%x6~+;iF4;4MZX^HVkI8G*}7;{&#H;LpTv@8;y1_H?3G_SS#1Mh
z&o&gkWBtua@O^rbfu8(<8)-b9ESFpBEQ6UJStSxL^aa%!NIaLL7#z{Tigr5_Vq5f?
zwLd8Ca!wH)!aH=&Rm*m;%<rGeaxnPH3V*n>WsNNzc0u~PHM@VXqAjJrF`j&9u}T$+
zY_A#O*Pgjg@smGT?C;(8v+H-VmN%TLY^^guhYH10#-M{$e_4trO1PVK&ZxM4&8$9x
zlTA9c&UCOI-|8B%<LqV8>lVcl4fHX2M@`L1ypx5p!_M^*{jB68fleEP^dQ(}797s%
zWKn6eB@Z13S=*OwxLR<RhJOR)58cmpv99=*Zyvlj#40~&D6n%>7m;&CBkC#Lti6pD
zd^yS^tin>4ox3e{QK`_s<8^TlEAWXzpZ=~f)<L`UFNLRd5Fm0T>gqx-Ye(DBs_gD@
z*0~TzD0XPW?UV1}TM_-N7jHifevFx9IaiOA-m%n%Yx}t@AK5`xS!nzFQOhY-E!S3k
zw;V0_8@oRE{_7{pw$(v>4RwZP?>ywi_fHe&ViDakGt3h8V#L2Pn`Ma{cy{zhpe7cV
z3D};t9A&kx%hf!2WS(`o{YKZ1&l>o2WZ9-Y?PIK*=w{vjI2KvlYxEbDT{VzDVza@L
zm|%rY&HZ<88ygw)nR{PljXG)u)0|(`OtQWw@Ejw0*-4ei4|<c1>fj`gJiQz_#rkM9
z;*poiNygS|j8E37q3%eqNU8e_YyU)7)jvOOQr=(jmXwzo0xA2mgE!5xrj%bg)d%sC
z&wfx9EBmMz`MYx0%}evF{QbwPCT{SP!_xuH(Q#C~7L`3p$}X~6D0VMDNePiLNQxg&
zreZgJKczL8joc`#tmafJLLO7n<@r*pin!Se$NvqplXjP;HJm!c$TBJEpcRKy5#gG@
z)jx}qG+5|9SaM99G?DRp6l$&tFN-Kl26K~}r^g*Q+$BlzTHfPt*i{jg>|E6m%1aL2
zaMbzhEKPcPAIdUlRYA=DBR48?`N`X{p=Z+~Wy!Q$vo~)@6=+0s4Ts7Ik%4YvC!T$h
zC+(}P!(E@LK=HX$@3L1Sq=9K-*Pd`CQg&OYV9y&BER^i~tN2Zfln^<QWTCD?W{SD2
z513ZL=Zar0_oBqfg+2Qe5{p&IP~p%HKSC8R7p8xou$3f>()eRSx2TZ|EqCW_3RF=i
z^eKOrzBF0S<PyJWph4#RF;%m5pkk&;KBe1PmVCPK{TrvM7Fis)Xn$W&4fI!qB~oYQ
z$swcP=WLC2NTpj|i=Tzn(K39Ao+_+FE-y%bv12EVYzsV`$Fo)gJsYdXrplE`7iAXV
zSENrCkWGv0do@9tx}ETJQ6;B+v~_K{>EyLck6%%5wGqpmxkmFXmGtbn^0Ur_K`Pmc
z{!~z;f%8njhU<aqWVhy9uJ_xRWLJ80uKp)|P)(=%1SB*`(?gxTSK^Gw^%Z_we2&tQ
z-0OOGtX7NkcZ_SN#T%28dCvzQcrsxZ68);@m=4L;X=m@c#e@uIF1D=pGlq8swZq+v
zMs|iiRMulRCBOU@3|n7diW{?P{JYxpNNu<CKbLPZCE@N?wn5zjI#Iga`?eU6+CO;O
zJA6#Z5ACD&xfNFU&K0O^Rc1)?d_K}S`NxE$9}7*_3bX~6>)RXCJLzPWGu!v|S|;R&
z_+QaSj{~!wfwQ`A=%l85GUuB<Bl5g(W{7;X9a8SxFj~gRAWM!dOgPyxN%i8k9KkMo
zjOa0lK|ThF8VN5a8#-CPs(%IRqXUjz&`bE;N++#6A`<MTXk_jT=c!%kj!@}3)4Ogz
zoy_I%_hYJSk@;U=7p)L?LjKf$skN1c<gbRqi;DJClGpTjnDRO&G$m+CytOePYZ}v4
zRtYJPFDI7SYxpkpS5v}hVR|G7e0T1&7AM2)ryt9kIpJH6-gtq(E@^ByY!Y{$i?r_l
z>?qpf2um{4liO6AOrdSlF%TPO#k2k3;MwB{!mF!c_lO3$YF_c>xm%q?wCbmV*ZmIo
zHoEEa*{f<~qDf@U1&?{cuCbRY;NbwvcVRCk)~S*{I&2+e9~XAb9y9n;Y7dR(+8uqi
z%SZ(q{d@;s0et*-#YtG&9!jU9glakD$?}<+RI`mDaBd$>&_85{oEE!M2X1N7yHH(i
z@{AaM4hklA^a8J6$;*;%;$+9E;yAT%3XFIvN3y+vgWH*woTM=Mj47XSf06=Hwz7fa
z27$E^Ti39nc*!$g)s>Uz;`l-DNZoPE7U3$j3Eykj$<kvXskv6-*yI&J`|{8RawXi`
z0<C9R%0zCRil#U;^&fJ?e6mJZsOh1Jfl=0r*_t~Qe<_eV&(E^tutt~S{q<pS-&u=!
z9f$lHDG(bY7*m#3@Xe=+`ffhXG7`6>rd_5$@ciw47Y<wE)0SO=0?XP6eS@$2>mn&I
zm$IYL8Z0ojuy1lgWRSRE{dhC?dI|y#y#MxrYJn5l9Yqem#tDx@Ly2=P6s$T?#`g87
zIT)_e9<oi-M8=|QYT#-LWWDTG-y1N4DM#E^QQLW<KK8<mHNg}l%j-U<UuTA}-%<UG
z?*9myPvrr_910xU`r<p^m||*>oP2ni9fO6ddqq1bIFz~J`~4NB_~BaA>*&r2Gu?vR
z7lb(Kd3!i{>P>JV-j7E8%Y`qDBL_Y_6304?fEAzCm|$am<~r?*JgB^9mHc+O1Y+*&
z-zDE=jFj8!0<IhKA*o=-PIXKI(tPhu^c^t9+UKVqt|9rcqSg33vs4nx!~Smbku=8q
zT~6AmHG=TiT_YTtCWS2;4I7Fd8-at$qogq;gx9(6b?p+Rp}w0quf5#}lkM8f+bJSQ
z+HmoQ!bKVId@X&TBx!`~9d1MCRm8Aq$Cts~b+V9qC!96k$i(X)i2yfF3bvfxt8r06
z9+WZ9Jo_{z<|5c^%*U7BvFOtM`6vY>XYFP`wTX#}>~F@iL*kgYZ*}hFf+Ch1X;mGf
zGf~hqvr}kF0!itsd*&}L1MRT0NrxyC$qW2iuZ5++Ykt%90Zj$Ddsz?9%`q^&f6d%l
zGihv8yPl&jql)c2wD{A<83<VM#=Ky!46Z$m`qC>(1&^7}&)z8pCTew%O3GqIk@woa
zl4^(v@9=xZ$3*8|zhC=R<q@TMcg#pb9T(-Alig@cto2K<I+dw_;;e#*ceWa+KiE&{
z-@?QvjetK1ib^nfslWBqR!tmTm;Lw4t)+jJe*fO%hs$tm=Kax-<63BNJSi8p$OQ9i
z_|ZW_70B8~H8kGUhGFlRdB<)eJa}p47%8L*ZjR<k-8VYeYBw`sF>Ztx#bRsKMpbb`
zJ}E=HTNf5*L}OQ+F@`}A&kjZl6`yryo+S^_P$Jn}8)0jL=TnA(+gWPxsM(dXx?K-r
z7k=K$<2A*v&y@IuJaz1Jle<!0tPhS0qeUA1rtmWV+Ff%-19v`L4?4fu07?54z5KtL
zL3_JfHh-`t-n6&ZUHWQ(%EaRMKb_{_taP@%ZKZ`XUY4UZR6~4Rm1nVQ#sUiAR2kL3
zS{R5>O6;L6)zjXLILTPSUR<H<!_qxDUlM0b#tl&W%v)2++8XQfIIoG>=wRsW%?)#*
z2JpG*@1MHW29-M8rM@LP=o_>AkK>j;E>*o){W01WiFZ#QC%JWDoLP|~mZ67|hLdB}
z2?YM~waIoE>4NV<G`pZJ4aqI<{u$W<izk9hHZSpGta&;|PmvCEbvpe^?g3?cv%RNe
zba8~Oz`$}s3tdV5YneQDuyL+jd9^_Y1`juFE~9AT68{Fi@>O<N9NO!fy+H@h(?1-c
zDXK&Ic*1pwcsm62>OJ33sSRU}u079}_~`|uk$vcf9R@sd<aYCFBctcC{0|)!xOcPd
zC@!=^;q>i$HgqjiG>02mCo3XDFj*uq&kpCVhT6766N))G2e{efV9qq<pr+cvZ?)pq
zM@w_2(5>Kf_?Z-vyd}ev1MIMB#i3R=Lv_q0H15=^7e|lT*p#4=9hjSCM7d?vaA{E0
zXq+L2{-$#8!AW3z$8<~oUsa@c+>Tct6of+8wf>C-z`esaekSxTaZ|*HtZo%Pj7|CS
z2W|l}efy&;ZYv{IoU*!%gBvFfQpvA^fZ|}n{hSOX9J`cOclsCywsh}U8?&3h`5iaA
zrOqoLI4bKuY6cr>Rg}Z;ys*WB)Q|l^kLB<<K0n{vaghje-h6w7uq|>n@9N2)mVs1x
z{_m*e3&d@viuaU{4YUrj6_2iy#@Y&{D0bm_f>SB1YWTi2PT#WH?%yg2r6+H_w#Up7
zl<cc7<=CyEk+JgQ@xv1M)1~mB=Fl7w_0yl!_O`;r$emKn<>L6aZ+oxz)EuE;vG?7%
zVoTJOuX|f$NWt!GE<N9tc_J}Cbg)#|63YjFx#(JoVf_WoyA0941T~MXoeZ@=|M!dW
zRkb3xdDW?v<Ln|ao@uhJ`-3?g&Q|Xl-5`wLNu4j-Xl&RRZMezQ#vEJ)Z(hu(3n4&r
zOUxTxcFe|AKWeyV2I&epoe@nzY%sr6m*T*Iu$TH$4;9TY^Hsxn%0~b%4oCBPMshCw
z0~Y5OGE5Pjs?oakB|i*Oeo$4ObD?D9;9{|`DfpIl_xMJB+&g2I^FW>lyO_JYyUv(k
z=w<>Rl=zX761O!VjTeJ{241(sOyF{%Oe9f&AICCX@^qK+!)3+PVbN@3sIQ<5-c{kp
z7eBL@O*I0DeU|BLuW5|TZhZ-dE&Q<E!>nVS6v9)zHl6L|MmSdg$JxG$9~tk|_CyAV
zppmPs`jWd5#1}<^`~MTbVHcmdFe5Rjs~D;13^S3{KcH1LCjeD)mVd1y1*f-oNUTg@
z;$G>Vf}$otussgwZVV7dnd_5U7gHu;ALMy_el3J=oa=%&UzNbjPs_undl-1bJ`<AL
zCk#fDz_QcBlDPc#ad>1l1N{E=YHw(waGBd~*Rfg}8k0eD30@2=O2qQWxQf9{k}tBa
zQ3je9N56Z@F%T2~&u*VI1sRbmbi{Ycp&`%f`N>{7{OTifZcI_&-7M$*L`DJkoP5)}
zp3)Iwo#e3kr#OyyIp(tUD<V?8j&RJOL*?O4n%Pnw4Q)EQx#q(%I9YD)xqF-rC0jKE
zQ5h*XcVAJo3sb@Rvr<j;Lv&QG6>>PfbiSJzP0aK0s;K?``n60P9d{x}t#xk5U_{{E
z@6)+dtkUpzW2MtE8j@8KAS8!feY^=?pVjbOibL~G866oKPxE%C%HwFX>Y6)}8rVM2
z_Bd>i4%$tLs}!0d!XsqoQhYR_7o@nnj=@0HGp)|b?@IV%5%g(Qffi&h`fEg_GSHHA
zhRx@$GJbTfI^)EqgM_Q4-!!?H7#|;FPkgC@!z*M^w^kQTT<^8w)0wC%e0cWq3sulX
z{C)^ur(w!k=Ff<^5#A3pgsWCiF?aCAImrNIK%2i#J=iMrO-9ZeLGz0FkMe3Y{C8U+
zC1210&vMcV&bJz4e6M%w?l<bl9lz&yLdFn3Gs?d!e=tFO7@PaGW(_<{r&Wc`8DjO1
z?CkzNQ&@_8^ALHz<ljx-|9<wQqq9>^AWz&JgZpjmKfKn$*s8`4j>&Y~9p}DPx5fe?
z<{@M8_qBl_HT476>Bzk@O!2&7iO(I=lb*3UXdbj@(^~4!RG5(NnX^Kt>?5hQ3|-V`
z?^$8(Mu%}3@5A?=Hc<MmmXcqsi-2ogD*H%7_;6MC#OB$eK;WY(n;{KSi<!$A$p+Xx
z(9!Z_kbtC#i%?}K4F$VfmHN2#(N_J;gK-M*WQ58bi=)Br#A1c4F%7ej{}m@>2M><&
zM-E$QkTvbxsjZ=d!o%C@nM)kr@$N~(O<@}JY#%=e8`MN&kA&5g_jZu}nf+ocNf&3F
zCp^T@szWY$r@H~g9+w~02r9Jez}Uao{F*Tp>OXx#5187+gDS#%l6$HCGnGA-rHn#a
z^($=$d$7#Zw!9S32G@tAbZ%z_962>|s>j?Oucp@}8Bc1$Ksh4aUQq_I&T&7u<?S)c
zml}1iMguj?*^PfzNx<k`SKyYxrSmUy|4;aoI%b<IzW?_{6rAfGwEVtnhdVN+jy#TP
z$cbv6pP1l>M)WXS!<MDo6g?`-T2RHlAz7h)BV4eQ%4T~kV24jLhdD~iRq&M75Ytq}
zhPQ4+vsE#mwMdy(pIwI2`O%@Ls^<v#(Hqy|Jpj3iN0wn16rq+~R&Km^icr?;?JDRX
za7o8>{c10HXlM5I4+M@AeN5kFwu%H={vAkhFqQ?Qh2DH{ewcV25^-<9+ZMi0j?Zl{
zmqz=?l9^o5L87B+W4KGE4F*y)F9z<AM8CW1rmvNKL|2WGWzv$5#QbeMVX?&D9(^YH
z<qf?=@As3Q`{b-47I3uwIh_L6O<yLsCVPo@+bHQt+pM5!KWY(jOB6xtbqZ(y^%39X
z+eZ}&E%Ea1;e_{0Vc6zTBjjEW5Rb1tu3Pob0=D)-oRR#3xU3iM_DF4rxOrT&jOn%H
zDgSmKyROa;>tv<Qm4AK_?AJyTYl_Tq#Y#nK=Mi3<9^!rdHEWFcbJ|N}Uc?-dk6$Jf
z%JP8ocz3nqh6$qa_SEyry=JglI9arBkP9cN?2_^}zlk2<Y)PK4rie>iR{d#&6QOZ(
zc1E_-#QYlZ&ax#Rq3|EMtg69@##f1wrW^kdj(c1xo|l^-y0D{qB9Q}WtNN!`r_B+o
zr2oo^8kk_a?&WVrG92hjy*;_uu|QZ2adltIGsa?G_DQWqc8pB)2!3+=N6eN<3+&P`
z#>-8Dn|I$~$Fy{de8Dgq_5^Mi3C=SD_t_867jxOMu1ex!$WlHoywt0^p>KpU8Wn%d
zU$bM;QS}kyJ|~pj+_mJ(mvZFGyS?vuIpCMPwtl4^H#&SM(chOdq4V|O?e+i;NGF}C
zajWLRt2(Ya&Nc>S=uEL!eH@T)TgNTEj}OGw)k(MaFz_hEH_7cdCyLI7JbdIR0OJUY
zqJCip>PxD!Pk{@`)K0A!6Cr%uys>4bkPZV{^|cNKZrlm~kkjuXf{9hyjUrxj6g31&
z^UClbp=4yx%TWxW!iA1|+30AiaJ{g=<VD)hoe0k;3T|dg<p0`kh^plm-tq0>1I5C|
zIO3H!7<W{2xta~YQ1DoI{GK0vEWOkkeMzix3>;K+H9&Cjv-d3<mH@2bR#xBxDa7Ad
zEcO1RkBcWa9thzR#;IFk<<V<p@aW@>j{>3kpmn<PJn0a@6Q3hCV$yO;T&FKvE2EFp
z!H}%<y<#vIef&&qULK~*S+|`Z^<WcMo}zGug6U(gHXY?sLLb|fVy;|0oC}PNUs)lJ
zkA1#1`9{h(+10yADOC?Ay4EBF3rHfntmW3XrQ8sXS6LOm#N&4@dY4!3k;3o};i0pf
zRK(3stA>{9fzltwh@6s!==FVyAH3AC(%&;6c1jPr2E)!#S+Xz`=6y2objh<^Yq*~H
z=;O`y3)3-6do6OCadR(26JbgLNlCx-!3;hqUd>cQ@?5Y2{jnD8+zcB_3k+Z^E1k-2
zunhZa)9ss_b>N?o9jJTN5a$>h?B&%|ux|e$wFjNLSaXo|bl#5+sdsUc53N=4sgFAR
z{E!})|2`|u$uba^{hZfjI~Cy}XZ18h4e*{JlJN8w0|F6j)tA%NkQuo#-6dnmYhpUq
z4fimy{F;%_{nzSPLGl~4#?VnB(X#XKKO>Z#RJ@zYrirol(znDF8Sws``ohh|1c!Yr
zodeCZu=33zuVYskkWp{1YP@6$UAKiWUw>_^cRQN1=N|(LNo!7&$eW`ydey?C1Rcyg
zsVXrxW@7fIy6(LP7Fe<4{e`|XT_iiHJg!{gry#~akI6<WoclIqG7v*UO1V(f4t6Hi
zr_k4w3E1GYkN(LFdp&rP<qrGP7<iF$??S<2TUb2hHk4@71J8#SB@*3Bd~>8tekm5=
z#ntfRptU}HY`m=$W(;8ymK)GA2;?8hje?&(9$vkpXT;J6_4tYYxN~;c$7yx?gPT6a
zI*sP&bQ;|B)<?0_?ZK?6n(Cd=Lr%DA(TJ}$B>iX1qO<G~FuK0!<_<mZFJxvM*rkEA
zNu>ay-yW?i^7Zo0(QuK+LAENGioqHBx!uwZV2l0z>e14D)!(?;zZ+YIH?Buc$ZI&j
zV5LIyx~)36u-d&U#7hnxzs^5tm2!Y|t%#8|zc#j*@^RkRltd3t)=#%#dqj$LPnDh5
z1o!KB>x?-O?8>GHJTI^Zm(<?pGD}?LDY9j>y@>}r-(ux1Z?eaxP6KJ@lWO4Ok?uFn
z`$vrb91eH*YX`w29aG-3s<3{aev8Kao6ro8I-i|shlu4HMON-nLC(J9jSAYmgxaOE
zwewnbsB-Ii_GM5BD!IO)*1UDZ7KvTm+K&NpZOW-f6a{>YzIb#d_9e^2(unTl1Y}r@
z+VO3Z#Un4T;@I&vR`W^DC(U^T`rHSS62D2Ie5<r|wPQEy8McN7)!L%<fL^x5NePto
zClU{*`&hTrZg)5Tvcd9@uJrM36tr-*9Br5$U=>@0OHIq#fVtsHxP6-llq=+{ORo*G
zuC?vky~f2F6JOHqS-T5jp~N&q&0&xw+jLh_>X;R-8VM)bEAxTJYvWo^l>t`Mg!@%9
z(h|n4wHFJVmi*ARjK4p$kF~Q{et!m+CALwn&B(ssKzj499O+FxtjR(tuAx;HaG!5?
zE{|hF_pkyl2VWPf_IOg(-z(-YYa*g$mb`0^MCZhy>JQd-ZG(~c-)0b0E~(MIJWGfi
z((bmFYGVb@#%{E5H^X*5izl;}r->^;DeCL_KC%83x=6GanxflpS%fFgZ=!PV)|@1<
zcdY13b(@VOOi||_v--iCaiZql=d7CtUa?MRYY%Y8m>^>Ev(@R^QNrrAxQ+bEr>ruY
z{dd&{jj_M<#yQoLVdBc4!+WKkU1L3wkB{-)Xbgvxj-JNPgM`ZP=IF7!>jd#QGw0k}
zBV1Wo8rPE5PjHyiYnM!d$eXw&e93t!zs$Xk$yf9edK#@N(^p>-gCByl*VQl~%RWG3
zv+p7L)~=V|;n_gAhN=tQc4C4(=&g{iY&UT|kddu9+)T`zEg(Yb7}!a9_a?-=i}<59
zu^4jY6VZPE`TES&47_bV@cn8|C$TGECehrbmC&HKJ>vdKNAF0a-Ffp)!t<oJtlsQ5
zVr=BVsyl&nD3`vT;}z~CzD^zry}hx6xF6@v-8^9kOUsDa8xoy_&?}++5sqDitn)q@
ze|bZs?fm?dePt(6{r9)%YNChOVb=V9XoUfSM6S=Dz1K<9W>gwJT-`_PUHn>sL;6tS
zYrdLl+C@++bHm*Z4-hBrw$C_~=|S2$a<FTti%{r)dhKuHPvU)V>8c+SH1G+j^6J!g
z6TXl3*Ni#+BKWF%4^5iVAn{v$_F8ifk+|%PQ||C6kp|;{-A8nBXW5k+P0l`|ElYaw
zh~GGIL8JPF*;^gx50Rq=zWv1T*8(2H@d@I|j|q?EYC5P`c~<@9&jF%&#}wWD+Hd0Q
zOZm=}7;VVJd=oi&`zLX{JM24k|1@DqNxmfXRSVS%8yt(z4ilO=UG(J#{t(-n9;sK_
zYC$w_(pK`x2=U9KlKTA498p4h@Bc7Q6a8D$?@1<)5jD<Rx6UukZ<bWr=$w=$=De-n
z^L`&EE;`7*n=koCoR->o^8P6ed^D>Lb6Yb>+&#m#lj_QjL6sJ*DGm+9g|C=4`1PCM
zx8C?IwwnW)GOj*+$JFuZ-cu!?l4+vyS5QLKO)eaA%~LnzRfqjqHt&hse~9Z|?@s%q
z@u2#dc;u@LHC%n5G;+LQj<6?MRX!B*!Jj8`m!pOnjvTsHqCxvh7-tuAPH_rC)1HX5
zVNtQ$W%Y2#>wg5tgMB3~nZiq6y3#**8x=Lo;9J#e*+Fg*-Wq5uhFu=ogGEAAthg<v
zDL=@8uX~P)##B-8K)`Z^R+TCqH}k*UmB)o<r7~%cgAzEOTsW+~<h!1lfAgMa@Zdma
zr+(4~DI{11Hm&ziMU#k5xL*+;WVXd*&jiUpynt=I%s>_P|50>>IRue*bo55-eK`n4
z64tp&svv_nWC~M-Vb<$E#G|bUPtV5t5~`}Ovz7Wp8i?VO{GN87_GP#ed+Y6irCbkc
zQ*eqdr@-pj&%r|jDlnJG;{Ow&is!$z&({P<;Eq9XU;8mC{tP@AifK><v1aPXW<m;v
zC6?Vyw(7{LH~mug9~Dg=+i$hn$)G}`SvyNn6Y)M7!Rddf_#XfO|Njh^cRba96voNk
zBV=EDUE{j;{2nu-p=>IIq*O>Dl?ss&MTn$i<tLT2)jgr4q3o5cA|pE@<LBS=I<L<;
ze>|V_JnvV$orMV@BEU2k_w$sP67b!rNVw1~3j#cR?j~Qwz};(am9K#coTdDbwON(}
zQN{XDPA^G_S+3pc6RHX*Te9Q0j{+QL=NDSJECobpr;R+SL&(GMYnGx)aMkxNxsFK&
zeyhK<dz?&x+btY@)*32MrgkP&@v1D)k3KZK_e>L-PBUASm#ISkumPRAraX|S>9q4b
zRH*sy+?~DGG+;lyN2Aks1(?2l$MF1^7Od{#(e65>2{wg&Vb<wNz#Nb;UDv4%8HL3c
zejU()&w}Nu1zT0%q`!Ycbe0a(%chnOC+mQRb!S!oG#Qk{x2shO>4L-Oe2#C!dLW)@
zz7Tjp4W`?F#O|@yg|hwL5B~)k!t`6u%*o&C5L0rnPElAFvei^0HJMF7Vbh%{Hhv2D
zoex|;d|n401@qi-DJDQ{?|Hu$i4;h&WjD4uqYar;l->eiGgwaG@|f?U0KKA4j}5mL
z7?}PUp0YBBePi1X{aK<wNZzmDeS{`hbtf~7Z?^!)_^8M~!xT6r+F@E{tqxX#qk8-0
zEg{T)KDscU0(Y!)@*<0sA<(-2=jl32u>a!a<||JDz5)3|FWTkc<(DP#LPaZh&i(R+
z(_eKcCWR$P@=Adp^QH0UJFP(RuxX)%lNuCj1W?)8w}5Azacqv671RtRZ(=-3hRf{r
zJ4%mp!LtZ@SAHfdSZ6AKTj8P%U-O<M_oS^7iYF7BuH3PNuj{8bWs?-ad&d6fpl&nq
zNk*J+Ou-TiPdem@c5Ubdc3U(GOw*#{!bI(|Enx1(UybKiWMFKfSfF|<9p2RKDbHLt
z2UZzR`y6K}D72PRd|k+lH$|%Y#C**`s40wAzDFFEvbY3td^k{<lRoxhy%}^YeSXGf
zEetL%6Bu)9xDo$}yyK*pK|>(NrIBC(5U)({6N%%+K=<$eDsBSsi!u%V9^?h%o%7c#
z4Ed1E?aUS}05CcBK$G5t18h@>s`eXvc&=K&<((`6+$l~+daRisI{4j)PYoXy?XB;-
zp=JsyBXuHLuh)rRZ#Qp&*L<iOG%M9@Wdh%}|GO)<`iI!Dc4~8HJ|7A${c=e>Yz!$}
zGeYITW5n}=FGC`aZ}c;ztLNq!fq%N)dU8-3;n=rFyv>{sD+jhcTIx0g%A1)vIp&u%
zo)4C7!Ge5fHqI7TC}RlY%Y)Wr`hMCQs#qb<3@;XuYw_`M19(<*zfjwCoYutoshzW%
z7soG6ItF~!hvhmBvtRFKX-~t_-S4*W;tdYb_nS5Jq3!<reX9o+X`(b$+im^4*r(V=
zr<1J*ii0!qYWe?Y+a<aspV9MS9uvci533%y=iZ`^Kfg}%iD+NYG2p|#Y^izsXkExW
zKD}@tl^)x;U-&$W=fjSPI=$)@9r#)Q*VEL30r~ht*%yEF;WybQVOP%Sz~v>AjKCpA
z{F|j~9~;Dv*##BCui15gld6y!c9I!G8v1j488+ib8Lvs}Ty0?aefY-yO{`d~5s?{Q
zwHamN6s^pu+F<wi$+Z{BY$&_0Mef~M0pyDOeYN9@7I^wP38#y4V0=oIg_*A)QcYto
z5@A~K(BqN%%?F(5!{}RhV80MH?&&#ON74d|QMDm0M{d+7x}2V!-h%%Prn}cRQ=yA1
z?T#7)FEV(44u4iDj7+9Im&#M9V0^jk&97lzyrr`KcYsk87mYjonRZdZ|BI_td^;aX
zW!~nwd0Y&ox)w45C8$8UzbocW3qQuhTiWWbi=#7tZcOr=CiqrQ#Xs)bjMY~c>uO3Q
zv2Ks`Gs9L*;PhX-$-5$epT4C?B<f1xl@|d$9;gZZ>9+5`D+^)hE#0Tv6s0l!ahmqz
z#=X2ix7Z<aXbVd8_IBmV%V4R{jvc(TjsC6xx(ly_(do-^trChXw!A0r{nMfe^S&L4
zSL8(T5u55$$*ppzl6huo_^&27DP^Y}$rr=mu#`%R0C|+;RB<xZphDi7cR`Dq1TyYB
z?p}Ra0ngDZ@b8JB!v4C+lZ;;^aZTOn=h+vE7|s3QRc;#<gfG~wwSg3Vm>#ElF|34S
zS@|dn8!d2Ku&y1Fmc~Mw_+R8!L8|=e+@noe@K$TB(27k44G-lnt*MgHQ_GBQE<_u=
zB2%K|{>b2j5NFCCLsd*8n*^Gv=)lq_`H$+5EGk(hv)gN`;p5P<XtQM<Xv(bEobXi+
zFFiGopJY+Tv`;<$<N;j}DERod^SL~V*W6Kbe4>tYQZv;)y?P+gyCiO&tANfsbC?^o
zG*D(2or}YSKAc$BW)2HhMEZK$LbeDE99BCy;>2zUzO)zm_1a2kk!l~39i@RS?v0<H
zQjLH$s>^BrkP;qIUfX$1UjtpGUR1vDGKPVRQ6fR%%4o2^biwLBbu0=kx$-8_1l*3^
z^W8e3j78x=X8$#-;pShrYqQEtffS?^(q^K92e02eJNiHs6Gpwt8($G1bvy0vvx6!)
zd8J%6%$|%vr{s=jc>>hF)`?0#q=M1XLw6?2l#wL3hbr6vV9gvgrem&xmfI?wUv(=Y
zBZW8pv78yqNljdRJ+(1+RHk?5FL``bG|?9kWCjMuU36}RDdT{{9%KDMS?o1R|7MwQ
z2Dj6$t);anq0Rh?m1>7Ho?Ut#)>~}`QbFs|zPw6!m8aE6ri_FI!-?(PZ_VJ0F@Nqy
z4Mo(*N_gn;RSZYePYEQwG=sy8Nf#va6p-)k<&$I`VJwkisIA|4-%xr*o?cZRU0nOR
zUyKN#r_lS&@50RB(#*^~H32z%u3j<8J<Erak1R??jLm>3+TE(Mp@&VidcH3!xzXi|
z^LpAcz}sZ|eUh!x_`|&Njf)98uEh2hu|5DOuOE>qc`SvLzrG_X(agAK#njN-3t&02
zH!#VFggg@=VQxnm@Hc%dX8=2ZU)iCR0+Iwy+UnhpU!_Bd&c(O3{scT8ymozBTnssn
zP@Ag^*J!QJsVq+_O~GQwW+F*X1lviWzD801Xi4{#*fy`5K;FZq{l1}FFyV&I<0Chg
zXiIfW`jhr1z+y#a-uFcirMKaKH>3a3Y)c~O!*YyavDV_-xt#*o5!dFN%KDe~wU%6Z
ze%uJC6DF*JbNnd#fhT2A;xA35>rl&M!U!D98}dIr=R=PXYm0Yx|I#k)U?D|k8N#B0
zYS)hfUffTuFIBz1M4J$=_EDNM05O=1yX3)xU2(1vvEP<y=A#$x4emC88QW!R%6%@Z
z39yTo3|OI+75_5&{6rt55});a0#1zIBzK=dV~uuBizn@$q&`?zDGl0la-e=lHO*Cs
z4lBJHNT-tYAeM8SH;bDcZP;A?`Ki$(EsDNn*NQI0cV2X;uw=us$5n$f9-C10*4JB!
zA-cfE_uld4f2>%PJ5elllL3E52gj?8>wxQV2$wQrMM<g9hNlaRc#jstXC0^mubM}S
zV>a&pzJiwxhW^aBna%Xd(6~0--=eY9_L~KNeJo-u7-K<AMJG+s<Jw>~;*sk{&x%cx
z)>pj~*icdF{5-?D7VLPOaxLG86;~T=KJNeyyye*V<V~s;=mmXjznaU6Wz9Q;ZU}JU
z%NwVO)ACy29;i8VM2ZcEoWAU?Vd24Wea&P3NCi8=e+OSTu;IC4DSMO4yqKJqnf~0H
z3U2YA$9=Nc@hO+QN>|y2Zfl>6ATt$IA9LTnaESx=TL)=F4?mu_yk*@~sR;=?PRFF*
z;>0h{$yuDz0(kU1Nx;Eh6DDVlrP}v$;S0fh@BTA_7?>-)w@OkIynl5v+yWl7<+Cx^
zJ12y$x~}S%`Y3?hwNJkL^P)wbgq&!MFy<v66$>t<K<S+IwRM6IYd*fXovAL0C!gz%
z%bwcEkpnVkLN)kNsG4+EWl;=$<5QiYoGBpX@|2B1XESE~oIX9%D}hnFPLv-uqJSK|
zZR)vQ0+>yg&00A`Lg%lO&KznK5VF5Vu8I@H2elgXUX0Rs?!fj3>0}C=p?ehV)GUNd
z^<qa4D9E4;;i9l#p9077>+%-#gmL|9l6-)xEY?3)8d!9qz@+1kr~jUaU{llcY>!Mi
ztgiGvy?B8F#&*X@Q9H%3%)%i&Z$KW&A_Y^VItsLy_n9ftOW=nn7T!i(MfA)ScxEBG
z!3}9A&uV{^#9i$5*GjJ{;S(t~Wutga5c(r_UdTlXiOO$oL(|GQLF#+<m6HmmDCu{{
z9HcQSV^)QG8yU})N~;%_Q(@V6U^?1K23bOUFGl96Vq<G}8{a`K`1F|l=%anI$o$jp
z3b|JeJ^gl_n<KQrFXEkTU6361_bZ$nqu0Rp-vz7ZwRIqwEq&E0N*>P~8Pchwqu|dc
znKqlPbRjt;=cLF*1vD=>_sR4i1$8p^g%2ImgEJ+q`-2k{QA~x(`|}|MKaQrn?tiEc
zyQ4eVzModY)Slf2Vx1IBi*A~aWj2Iup^ilndzF!qr8s}0je-wS2G6_;FamFT4;C&t
z6%6zbC=D*5;I9u{DJqS|U>7uf!0&?!_OzrmTG&yLOPZ8Or)dgfM*OF*+mUf{nNjiQ
zhOecL{mW~(NWec?BZlyNGCtTjw;a!^j!{i+(m(bC2p^sO(OyT!)5T7qMdqq_BmGCQ
z^DIDcx{2H3Q!;W}jQh3ds-U-=qSCD+W-xR-LF8pP8IwW<W-R|GqKo@w&%~w;U)WNZ
z_mPo|T!o>6H`C<t5$E~N1u=7oU=Huk@=?L59{U?{;<DJ!@hf)IHgl*<A$e<DRYn`i
zVRq$mDLly@{)v9SImib+7+=j*!omul&d;~SF@Mv$@qJ$A5GcRG91^F9rm@7at5jiZ
zjF5ZjZEX%}k*iZzoE6ZU&FplelmMm|G#~vTVh)TaB4YD5%i~B~MzvoQFFtksXCT;X
z21TVe?mT=aixGX7c+O_9W3ji&x=Okkm|42D2c3{X$v+Enj*?91t#E~;OPGQE?B1^p
z^3r(wpjyYj6gqs>X3qO>2;e}X>F2@cBn&m-Z7BY4iS}9dRY-3Pz@Go+i(E`4Fr&k!
ztl-@o&Fm`2p-w4)x*YI%-Y1Hsi8?Q6v6HljhBeMjkpw*a`)X0{jxc^%eX!-fA0xE!
zx0<n%4@}|X;@+1^$wIjHmhqpd^AN3qY4`rNUna1pDtzGY4FRl674W$m(@*<r81N@p
z&IEW47^D@n^P`E;UrL?LciPgP`IRPLV{oxh-VGc1{_QWrs~x|3X{|M19TQ57K<{}W
z$t{5givpaJ(~kGiVqZU59hou&c~VG}`vfQI3!XFCYcW7;Ql4}YH8F%rvnMeox$HP=
zoyrq+aEK;jYL-AwH308xuYJ|7uwo?rw5lrWFzp%jN2kEBKJ@xq&a5;r;}-ocsX*3I
z+Sj|5GIeGfb*JbM4>Kmbq03Ki<vc;_yRfP!U9iC;Ew9?<XE*#K&EKEYKSlc(l%K=L
zq6hTDD;d|jH{r6S4p-=x8Jc->`^>3eT}UW!+HF5ik5b<Sb1L4>(Y6}|7F&MTfm$TO
zcN^1V#Hc~*wx&O{nq%%mZVoyif)=ed_vujht-uNG*+m+AWVv?HyN&<ukWWb4(c#!o
z%JCD*%QPR7`-G^OHW;R{aH_J?p|LXQvPk3#?I+9Vq5Cu~5IV=ANbO#yiRQZ}tPQQv
z4k#~s?=jZ`+ZBWHseyIc^+zFs-=5InwNjd}R09<f_G)wK3D9AQTW_2(*CrgOJleeK
zNQI)$A1~c@ro-<;wpY)EGob#l4@PT)nsDEBjec(x9R@_T-?I73h!e$uY?PClz&)<|
zW>|wBqo((%hFoPvTj{i?rCgeDIlGpQ?>#*x7<vEZv1P?n>s=9XcPVg4=BgUqnN8?7
z)WI4`V#i3*lGB7O1sce__DVY$&~?VCK~#hjS;gb|#lCC69QVZtJAx4%qmJ#ZG2q64
zNO{7JssY^ScR6$i6W08tV=Oc0#RsjE|1G7dgJk8x%lR|Rc-GM>`A;+-{-nz;{kE(I
zEG0YE4t-(4%DAqX;SD|d1#Aod7_0`o6jlAojr<Uv-u<)ERscET_Nq0^se=FYqMO5g
z?D+lhk(}$@f~dr;@53Ia3WhbqLSA<`@%5wy{r99Tc+f$(Y(-ubTvNQ5O0ICD;%l3e
z&%H!&Ay{l|M<*HdU%Xp*;j+Qc4jj#PZeo~GaK&ahj|>M_wsAF|=EH{pu@%wb5~v$)
zRcs$ghNO406)DyHxZf-L<icwbTBKZ5{T)PxG^+(SpDhCTM&erA_!eoj7_;9u6-9=9
z#KF3Umj!V~kluN>zYOj<c%<&@T{0xMx}U3+-GaMoDy7fV%VL4%jo}N+WO%vB1`9ic
z@tpDPrUDar%-R=BI~1x4N%6EmzW+q=$qCr4^G*S$Im!(^gw$Y8qTsT_O>w-qH1qx5
zJ|&zD?$3%ISAz<6#k=eeCDFULvwk;&3hp?b(qz4;4sMi5CC(5jbP(Tha;buhnPJve
z86*lgH1doUW=Z4s|I#EHJk+q9Ip!PX2L-M~xn9cnAcMqmtP<0jIvTJIHPwIAgbf+E
z?qQL`!)wNk^VSsP*4~yc)JcV$rJP4OcJes7Mf-Hi8U=0APB1R9X+sXQMNFqEU`f{Y
zG3$IyJkXrc&*8JdYdRlgrkfPet78mJq^PJrWz%chqYL-#vhIkpE2G%_W^4OMD!w}W
zmhN7dJ{)~v5xquH!JU>$j+zBjY_>nB^i#nQauxn*JDZZxUL<k#YC09KE<85U8#Mx6
zt++o2l~wUuou^IhRw~ZgWmH~&U;=pgXv67IRXm~LuqFGYCQgp<e3A?%z@m+>#`B~a
znul@xCQVT=Pvo$CS293h^LWso_i6}FkGd*<(!jJ|_DX3x&EQ{+_TR-GH596i@oL?v
zhK#03B85w4uo${Vax7QF$fYWy&u3MzxAmS@Nt`)c6rL|lHBdvz%H@o!#}(21TiNQT
zDRb~B{TnqAr;4fkB^t)|a>!X8Vy>@i0k?7slZ`UTxUTM@_)SI{{XGBZa=2T-qjJ*&
zF(E3*J7|B3Uqu|r&2$|G9u{y-c<<}uQp#9Z;%Ps4ObBz-tk}sW7QnK=bKp(6BKmfg
zUUt*xLqqd9FB4`97))@oj+Rou7baalPHD2C-u+Qa>lfzmDP)Ume4HFY<82wTE<LuM
zxWYl&XAWuaugR_dkU`h8F3POy^R(#;gYw%J%s{$V>injy(nvF@Do|e?qIrriTGU=N
zgBG`oPCb4ky!HCbZuXo<v@Zdp4;%T-U^rt`D8pSG%kJ7|oX~4020ATIvF2^?7Y8w4
z6efbIp@O$G^?nj~NSEh;B0wZ1%U`5g2-{ARI)eiy2#J7(@Z19geDGs%`K%>?wqk$u
zm9wUau2!16cZ?|v_F1df_wwQJwuVQJ^s|IS>3t2$ViQ=Hste*c!GkM_#wUi0X9;Rm
zk;upwW02f__TlZT9B9;$m~{B@ED`xZCODqX7}75UkeK*bv29=eg#gD{;@Rfn6Vm!d
z5SVzG?eaJyCfzVIZ@e`_)ZgyQia%)xcRk!)ip4jfr$&}`$<t|K^U_D{u$KnV{*1kA
ztMNLmGBPhP$$g60!<)#H$!q|{%=YH8Ez2~+LzzEVq<<6oZVb1wUG;%SyKCv|^a73S
z;F31>eT<lJ-DRs>p$B`WESgRx%+c=Wiagz1{EJW;FLzmH(}Pksqtc3$X_}6Zp^{nb
zFp=Kp6I^#l7g$`s=?9FC(`F>>^tobw5KeCjc(#7k0YB;UF6(|HG=nhe>xR-nLe{6l
z(Z)~*)_8U`KaU)unYg%|Fj(p*zIZjA%_!A|g_sWJZh?N<`FO@}&J*8>J9aJBtD@Qv
ztrqBBWY<k=<TBbcLwqB6F5D4!zoG>}59-%X=(W*~G&h_b81EuJ2TX)t;Mm|S{oa4!
ztzT(e&MWTDzdHyX_F*m8OH^2Ly~a7f_krfXCGq46v=iy6@9CbgQ{jr1ymZZ(T3X;-
z&bB=Rtwh8s&v<;QCLC6Kl1NQ@Nh9+P$#4JILY!GhUHos0CcJZfzcQ8bkhbHQ$N=YZ
zGg1G_qM7{;1%5v~UcrC)Hm&$e^|qM6X2SiWb4s!%1vs@DCuezsX#!0@;+F)Q2~Xyn
z9_@=7(6D3KUEos|@$j~60ClB_m{Xj)XmVd2zBE-GGd)vEQ2vx0j1p-kB+6Mc*uJYl
zNt4O@oy?U)^VxmU&ki>eTYV~ILip8S(>D+DnL|&BTOnOf1816vN7+ps+qbELQ`K%}
z=7egZBwyh9qq{9cMnQb-sU$Ll<v!{?RE@;i&G*h;8Lh<rrN$ktUsOP~_vx69N-fc~
z{rgbw!!~00!&41?5fwN<zW<t>{g#L`xaDlm&_OJB@cPCDC__XXhnN%Zd!jqyh;B$?
zCo%AVhkWCO5}3PjWU1WvKm=_az5T(qn>gbBf`1>s68vflBpNM06IK25*DhIpBZzj=
z!o8!4@Z)R2L?+u;!nx6II`8av;%fQ>p5QME&|j$kTsWbLh;*z~_d458$XvAJNYqw<
z-4$K4!7?pG^LNH-gTVn}bf}p$lqU}fpW;t#?QJEd^N*GC9~~l2GQ?8+IOM^!`-}al
zSM5aAgA<>x$^RsLwT~<=o|c1MC&bt(?>h<h558{GoFl~1NLHhySy{;DRHlt>>LDJd
zW_I)_jS?r{SnzQL$wI3A#OB=Ny@Yw6@O0VPaY9jYl6q`Z23Tj;<UM%%i7pYv9#?@$
zB8f-UxA>3@aC)69x|J|M+$W?D*hNee1$@C%WmD2{z9RU<8HJ7gwqB+j<C-NZBBQrQ
zMo2@_?#g+M$sa^GML_cX=Q%?5^zQHcOww>j<gk0dk71&xSz~_n)gQt^Q~mqdYf{i~
zky_%wJxT~jj`NreEfQuPko-|u3WnPiI*LNZ3Cqe~=B^gY#G~nls-##FR7li1yx!RF
zY=q@_*^d=su-yMaN3|pz_-qs45Is#OZWS{2Y+NT;c%3$htw})8^&dV-VzWf)dhKV0
zSb8|f_~xjOjRchDK#BLz98q@q@J#-821s;1U%K^%IPf{FcV+ebA+FVyWgM|#g5m-D
zXPL`l@NcfaB#P}X@n?67%}^u@>_49NXuF>ne3cmX8V+41_*M26eH&o|zf-Sr?{$j;
zr)TZL4#`#Gmi{}tx7nP)fA2`=RxeQ)ZHN^-%ti+evRk<G(|N$`#&8qQya)s-2$U+9
z(?gzdcJiiRJ~*nDWEq?*0{Y77%nza%;QoxMvY^Fgc>T?L(a%i;HZY3$;b|r)?={_b
zaH}A6yxo+1U0no>WHU2us#qYWy~8p0{1zzsnnk)SBLbAS<`OH4>>%#n`s&nz2sEvq
z^{Fus0kLGGM^Ab=LCx=<@o<?qtm=lOj+_z!|3}<Gv>qPt_w3{^y+eY*y*!>GlOk~W
zl|rUt1|Pg{oH5J`m4@)+Rx9FpqCm=@K6uT4Gcf9uJH0TFg}2U&VTI{paB;Tw%_e_A
z7@PO^O;(bJhZO^YSNp`F+}~%h{n{3=&-}ohM<~LFSpEY#S0sVjO6FZz7J>bB-R}*~
zDg(#VKh>9erGPo?tmB7FaY)-a#5XrU2G--h8K<60gZ;A;S1J#YAkoqO;Htkmi22;z
zOAV9-g@xKj0Y=i$ENdEUc%B0JAK&SQM##egY3|s)Z!(}3Cbjczn<hAfwx~1wQH0+w
zw<<Gc$pIykv&Kb93vwq8489syfj!wGNp}t?K+NfK_K_pnz+Q1W>282J{CaD;T5Y8S
z_ne=~M`Y^&x1>)FzrH3I%Dd7@sH%Wrowbm1mM(a8Eoa)sXhFTLNcRx8D*Uq7+5Or@
z4_vO?s&41g1$`NE<B@(fcz;lZuc1Z{Ze;$xb+lU_Qf@Pyj8D^mkRwhvF4pV8A+-y=
zf}f2b|42H<UZlXjYNq{%ob({VLR<4gvng!N54SogtqD)w4so)3>4Kr9+@SObK+&9M
z$H;~cysxc^>HDb-uexZ#Y&*?i7rRsTaDyhS8tKH#&r%^#RIY?M%>r`l_!!DJ>Y3Lr
zc8X?Gphk(NT%ThJvv0QW_$6yXc+C<meT)nrXTPMj_*y~zvp%(aeofHw*il9Ap#TOC
z(%y;vw1VMYac3uQ3V5BfxqPBt3OwKU>s^twhQywu`h$Pf;S!HazUi0{Ocq#wuMo6`
zm~D~n(*3GX^@VpXZ7(~#@}HWPYPEvp$4N(7lT=`B^P!+Umu88o1%rYGe=AV(nqqp&
ztpvM!L+!%f{h+<NP!-?WVF{;<pExT-%fnB8p9ijMbQm+A%6CD>5*}t%&;I)@1Fv6^
z+iGpt(ZAG_V>Q77gl*bWz6DCb1dXn6u#6YY>3rAuy3HY_wBoDRiWs<&Nb^a?n^DuY
z;`$zSb5Jteksfwn3;YiN0RR6Cmw7ytT^NQ@wrpc8W63(kjIoZHu@BFvw1}h<NoldQ
zAWGJvY)Pn;2<1a*6Iqj*C$g5MQrQxvRUs;s@Xf!^ALn=8bIyBT*Zo&?F!0}E1q|@}
zFZaX=E|@SjF6v(@2Mg5FH;smhNK;|#srd#F&KuTpa+HRG<4s+rgNj&uJ>|xLCxD7G
zuTo7!6t?(HyX-O{p={09QBH{++-y@RP4yRmqAejUaw|yaT<<Qh?xrm~W001s_x-R_
z_!y-;Z%o3(mgc6y1`Ze=s(AC2JZiVL@9E4wArih_W8`$_vkjo|3E2s!Y&(~*z&#(@
z6tQC7-}0S?4H#$BU-q6H<~4boJpMdG5x+e5`*>%UHSG2titrMj<b^)|cwcF|BK`?K
zw&+oX6)?J9zM(Aq;w^k2Ok`UrVkk?M{YlyiSX!gS4KT-Z()cxBLRCb|)#1U~2QA@r
zX_)w?P(hrW>v`g>r-<j*e~&GGYXJ^&wAlGYi!uCjO3pY}5rw~mpYHas083@Y1_Lh<
zG(SI({v<>Ze;yqiqW77DC$-dZI9Ut>M8Y3V)GK22`!CMhz0IMq(~|6zu>>PK%=*SO
zNvKM8^01gN13#bJd;6m#(cA3^S^5$Qn>vRhaudv;EO0K-V1qOcstX4nFjvALvj^Oh
zWHXrA@FF2gnt)64Mn6h?QNn9>Mk1<hY;d@FgF=`j;I|Vdbv4z>IJA17#^EqFSUj$e
z?Ch3B^(*_=nCGeBbqC>sA$>NSAod;GR6)d|sx{v1JXMtPuLv&u%z~R{J=aIF<#6E2
zU?sPDDO!k-^YqGCutGAcXkVf{<_FcPw|`W_w!yh)AC9u%%V4x@S)>BKS)Fx~z|g=4
zhK$EMJXmmI^?|3l;fmNKZ~7~3l_oyf$2h^@u)yh-RhMKe2}Nq6mwGJH!mrz2SpCyy
z0a?$8?sZlP6G*i~O08PxGVh*nNS6gJ^tdaXca(7wmM*lM(?;jB8H=|XvS7CGmwV@s
z3QoJ7aa+2VjAxsr?;YZ@K-SakOgL#N8mUE9MLFo;ixGz5$z3dPi_g``*s6x#i=rzh
zC=`6j41439$%5m`jTQ%Qsbitn6*Co4U5qT*_oK9j1(`2CC8sRbM8y%2%laR6F=F59
z3PlPVt`(N({HWH%*)bEz!3HXhC*<}jB(lLQNVIr-pBDPe5|skZ)9^^bLfy;^8;Vw|
zC+ShNu{|n9I>$>7kH@$tKZ-O1T5%#vY)BiYXN3Ho$kEa6CfV3n+8m^NwHTMrkx_Ok
z@!*n5Itnm0emYie4!=5g8`Q1V!Ewg*c0)^j6c^jwczTxw%zydX`*KDH&nUjrmCo14
zWqaa;u4r3A&k?b07I_q;%!a1azt%^!sdxLrzgj|~mY3LfGhIC8dbqfCS|3}DOFtSu
zu!5+Aq9<n_>S7u9cz^1kKC<qy61Qbq!;rXX30PB+FsWx2bxt4iy7Q5`*9IomlVe_A
zqN0zKh|F#^ee4`On!d)C16nFVf@<HW_+7bLs`MZo#|Lk}*eGrbOK-R4muk{*W8TlB
zhx7Ds+pmPL&s%I^SJv-!jTSVFstxhXxk$sXi(Ag59<l?fpRpI6MMK)jKkW2_R4lQT
z%kvNg5Q|7$<VU1o0(q~Gv9T^Dw~MCBtOAfaq<63WITcNBtm)kHTnB^7?{2vp1u$`h
zP+<~5MON^Jt`h-dd{1q^mQw)GFifGxE~et^yKjBm{%T?Ic6!_XyZrU@ln+XV>*7$-
ze5zQQCg!KgvbQ$^B$g=0K6pvNP$~A+9q#J*?6d1JK?HEFy%;`9reH+pX3>gjRh(lm
z60FMr^vpC4O77CZoxWE3SGda9b-P-Ic@DsOg);q378z|q>&h(!Ntl+h@{U<BKu~$L
z{alkanzcwg?))o{;Zuk6OYDJvZn3r_lUnExBFgRzIn-96E&nP7fZbf17F8__*ZdN9
zrC1i7Quf&1zG4Rj)=h>NS8Jlf)9JG<ZUp?bai!LJnjPGEy=1Wek2-Gs>2t3qUK(Y?
z<81%^XA7P~B%l5uHT=ZXs5{;+iDxo6tF9~Ag0Z}caQAOjY+7p;e?LqDH?3M1By*Aj
zS6<uh%gIu~x4(^(|HLjqnYSrx^JZ-zlGrxk@2rfQx68L39~Q^iTfNcA{CCp4D!2HF
zx)S>Pa_DbT#j)12v$<=)8vcHW`uJF!gqv1u$dEcBj?r>=hL<^6Ly{A__m_+!{x#oE
zet1(HgR^cKrK1%Xj?F)dVkn^2cyD|paS1M*6O!PVSwT~)+>BMAJQ8;9d75>NzaOsz
z4=lBW9MMSo-X=MGf9=lv=KT`r+;`G3f^G=`(<7sg&E>FI+4jZ@4@pdTbJex(ngy&~
z>yRJZNW_yjPfgA4l|p~lOD<0gEa2IImKwpIh<m&BoDUaB<6&W~rBfB=p!9aq_nQt8
z%QjBP6#bS#-oD&Jd+p3&Q%%Qir$4e-Kq+tI)DqCCPc->(ml=F$ZK{qLmBrQK??WJ7
z7XP`V%WU3l28XG;fAqbVMY^fg4L5HhRu4#Voafn)Q6m-C^-mUm-djj7T`PxrPGJF8
z^4Re1kfzcwjfkw>escM%<<XSwQgYj#4e6~)CWQe+{F(F8IeW7LUUYX~-tdhD@|Qk3
zH9sJtP`~OW+F?a}S7mAlmssFzn7u`kCWqP8k6edJNVrvY(Ea>o7E~2K7G7H{holn|
zR~)}7VP(i-k}Zh^+&`)2`_1IBO|_`$$8r@+vW#8#V2BAiLC&c@1M=t)z9wW@nJONu
za=CP~lnJTrLY>S^1*DY=NQWD%q4iAzZfOz|R^_L=^?NHKDBrqtp+OzD71mw}-@^oI
z@hsP!OTzo-wzikDH1VNoVgA$2Oh`<4<66L0LUy*SV4AEJuIS6^OLJjD%&V9^nH*)z
zKlk{G+l&@|P`r_uxrqr+7e5G}bXUQ(dY|;^@3rwxn2^qMKPGG%%kEy8q>3#W^~<~a
z$k_BqLuy$v6AVsTy#C&@6icp$H(urE#@C4NZf|Os!1EJ#npIZEBma%~XLVC>T8Uns
zH^T&x{7+xyqcu=)W$)#M4qZI%+(FvCiUnG0o4X)P6J!5L#Fn;FaW&)F)!FMTNESDc
zImXgLuIu`SSM@ZE8{Zoxpvi_Mb1!(l{C)3Q<}gLPqK9*&@Vw5eY?u!Y{c3h!8-*V}
zvD|r-j<!49!}r;nLBQu_?xV-acz>5g;__wsNT^fE3g!F5g(bbkqI@oVx|W{uVvL{X
zvvz8KZka=VH9ccQoPr_y7v;=_7+}DU(O-w7Ex@{H<IWw86ns*&igo9i0baDr^yIl)
zg2~*2`-~7>+}KR?bPzVgT=MzyPj*(Yet${G6CxE`)tUlZ_;ZQ8HNx&j*085L;>NiG
zDynZQIq%(VfIB}9|7hcT+J)4_?{g|NG>RsR*6%dH#EJJp2V^+V;ptR*EsBO3+kWiY
zT(6JP;{j#bzd5jX+NS>^((qW5O(}1Pj!mC-T|Lud3r(wR%Dq3*@YOjn^XnaYc&e-a
zOV%YjusLT`$r`8O$D{`)@6u>^`r4jpD>^^_FMZX}>7n7Rv#F6XbSheFt@)a97$EY?
z=OB%28oFD?d9Em-;0K*gzP8l>av>X|g=}dkYi;o<K~4uN_ltIL-UFnOT=h;pqGCo}
zR4^q>8~q04I7=6EVL@*>+u4|kjTt4$%zjN28vc{_i^v6H`<VH$I9*(0|AqPfv^tXS
zrq1o<&!0Cwmi_X8f&**&>|bT7;@;A07m^lnLE5*kGIvY|6BV@69NU%9un6xLf8_I}
z&D5b+LI=0zM7$KWQADfx)#Gk_zIaD!>AxhC@rcUvf|N-)oN5tXy*wS@*8L+bMdsSr
ze0}i!iZNNdx8Qt&<OZ<AN3vGTQ43Sfcx(|eB%t2z^m#u;zRw5DZt~rsiAqMv+bjL0
z@Pet-ACE#ixIHZP*>_eQt>&cS4*y$%waXM#_7d$NOhawO$Z|Ct>`1cgmK4WBnG)Mp
zNAvH+^Jf0~LRGx&bc@-ZE{bR3C%3$P%Yo}RDYIkBDrgkjyrMo*1mpi~mhWE4fzbiQ
zjdC}XaGk8ruXhc?C~uxf+Hunc)(QBo400!-)UqR4175-y;hE#~pR5gtEN32FOjbl$
zYH`pwR~Scxce)0ITf+s8tBkXR0)Dm<9$DurjBBsPL~R?ff@&Yl18%bN=rXwapH-tU
z7Ti;j6mhbGElRIwT`W1&qSKld){EeRp7Z+FdzO%Vc`Q`-5D{z0J@161MDb!$*6H7d
z{JC;YQO;9Yq^kdJs+bVPPvXqJ{z40QSC_HKakVVsr{?|9zr-*xCY4vBW&!EJTg@E?
z2)JUhF!YxC61-#)?|AN_Iqd0t?sz_tfMbDq%Kp9*_`_I3qg%}!h`y)d*Q_Dnyhmwc
z(i2I1mMTC@E;55Z#b=F<QV4i>lWXNk7inz1AGGb8u^EiN87kRDBH-rGzv*#PGH9DL
zew2x9$eA+kx78qE&(Xg@;e7;*{Nece%qBLpkB&Kn*bwl)yv=R9+GH_PMsLHKNftCj
z$4y5C5|AxyT2$CZ#5NzeeK~^#qr+YnGnE7sv@A&Z(=Uf*#0c64GZxsd7b?n?k;MZc
z`UST0^0;cab>PrDCj8|+oQET_7`G*jvxTLIQ?9?)*PLfUyv_2+=K@3&YbY2pKSIKY
zry#Alo(W%9u9x!6BI4CG6iWS|62=A@X|d&)U{9-@n&QggUEktewJs_cu&S>r^|dKf
z|2t&SEFh1(+4ma;`&IFAzx;`=GE;bLwR72$9(fF`yBJj*rG^)-E;Fq=WeWMNhT6aH
zDd4Z}tL=_V4Lk_<Rn-rf0$rOG|EN|GGZw0ky@=IB%ZZVHBYvhZVCtiNzMX{rOLW%D
zhiV~Z(a&r_{`{oXsBh$VCDc?4o^B7~=Wa$<Olqhp>@F+Rb~jYPe;NWb(J(R|rbxRK
zrkR3uE1f<Zql%GdCpQJe>tNlAr|zM5O(895cXQO+rRY^``h}29!TJZS6~;eJq3V>9
zsO1)Q6xy7<DY;x1PckoG7hT2#`O#nOs&^W=#)vmr-cCi!71T22A|{j^P?<UQKohGI
zMY3v!X=o*uoxD?-1swB_1Kp>!@cFK8zlCu<tTH_7UQ)<{DHqN?ojuyPd+dEZZIX_{
zpNfihEMtS@-*a}6E67-%qVQFINFRlMJ#N16o6nbp+Foxh9c&9El`WJTV71SA@s0*F
z$UH>0{QXx4Umi<&e|@(h)^IZRKfi1a7aBagr#dP4=b>A`<#9t?i$xN385V%WhhF7o
z>+*Airgd_a5z3U=jg_ZcLaB<<`6)LlIz^|26z?^{ja!elEXuKhI;M4MjSvlEDkK}t
zU5zm5#o_JpH>^Q%GJihr0^jGI_6Do{HbmZZ@$%^VHsB>b*LYA~4`;@E(B9J!PegtU
zV?XA=Q&DS`ts#1N_|ow#iD&~P7krK$>ac}#@4WWUmFi*m&bZBIy!7#I<4zYDo*i_m
zKVSW@MGsf~a3GZn({aT4ee~9~0H$qRmH9e7%zpNMMMpFZABg6CZ@3O{r%xbKC0P%h
zYo~pE`Fv+{zcy$62Ke(t`g6W9e;uQVnFEU`m>{_*b~}p;(X)vMSrs%agH!G2^~pGH
z{#D4`iwj1>*C-hZG!#33le*ni3q?wn4@89Wc_DIqv(pwT4ulp3Op9pX%)7zo0f)J;
zC&*gxUV<)e@R_}Bbw(ARD81_O+QWt4bt%>bxfDFv(Qw;pvl8YHo(lcr#0B^Hmj4zP
z>0laZ3C(Ax0%}{d>Qi;N(5&x)UoVr<aYg6tZ}*5eEL`(yY8)VBPW=qyf;JlbX?;ud
zC!op>`Eh@KPkE>xKIEFFg>nbdmMrg*M9TiKThV&}Rvmhgu_Z|p)rVXw%@2rU&^5b-
zpXvauX~zsRr8H3ScihU>TOznq%{i_k-wsj(FCHUns3Co0NO4cZV!Y2SdbIYhEo5tG
z=xeP~#Wlgw-bY)7_<XY;E^@U6-CDv<cB(S=G#c#IOBKYHc(KLB*Epb1cdA)zoP>Ld
zwhEiq2;en}QdqqJ2Tm1jPxlT|M3J@=X9{ctQ1)kAgqVj7yq(`Pz>!tJ*jvY(JqZGs
z5fguOXN5KVanyb>_goH35;^{-r~(-F->c;P1Z&_VoBRo{A>wPE{#Z@80De2tsrg^9
z71VEO*`Rq(7Ue5gOYhAJVD@**0{0$E@G{X@APo_44R_=H?rVbB{<q-XQ)^4`X^1}N
z%+Fzh=5R`6j1UqZ<?iBKwSb%5W?!{trLow6t+gj)5rz<MIH95ieC)nFXFef?sa_)o
zd=eHT#KhQ!r<lX%_#0O?C`qA6$6gtFr7%vXFY-GoWDcp0#u~Gsl4xykX4qv;1j~2W
z2~Qj`1Lti;4!sK!xa;j=8>Y7yeuxl=8d+cic`>>GRzRu0HQ$xMvYw~&PY1>ENPytt
zg9&Wtn!v?_mn87=<?{m%LM2euCCIQ<hR=)17x^J&5;*4TI3lVmg^tqtbYXrkD3FjY
zq<@h>*PVC8C_kl<c4)n_2a^SZ)!kO(j*=KqdF*cJ0e-Li{CM5pCrls>5~sfRNFwpL
z#dKvjzt=FU%4z$U(Bmccts-8Ep9`Jyv8RdnP+y#4EX#!R`Y!E%wn(GFfqfN9_vP?%
zfQF7wy(yHlZ>{OrEQ5}#R&XBwlgC!8Q=uk-rjYYkYvdk>fCk3Qo8Q(eV&TmDSrMu!
zEH3=1Y5R_V>t0B#e|n#U-x?$z1%G5ffci~ZYpyI_$Zhtk<@avIj`>AP${1jOYQ>SZ
zJw)_w7CYKHq=FBkD!2)83}_hDokS-&oY0aN{CjRGRvG*3xV4o5?nVCZ*$(npxHQ0G
zvA;TQnygRqvuA+r#+T-08x>IT-+{CL(KRul$}hi?$$)jX$DK+e6!C<`J%?vTT3FCV
zw7SD!!0?46&Fm@?zSC^(umEkePWC&Q!(qUci~EPG#FUY~!!=xO8yO$+;>H@>8SpK&
zW>7v<1x<5_kuFI(Xq)UCej%O#F?(IYVt%ONjqA24vUL;;HndgFX<&eB)yiqNR5hFr
zR=E0OS{Hw<Tt!<aZwk$8qwLcxHSqpHE~lBn_wKmv3Ck!`Slu-dZxf@58>8-)1_$Y(
zTj*C>({EGw_Vwj1PhTw@3E--HxJt)w=U%q!r!ir{)T=DnO&fLQELIX<=;My8h?Xrj
zEVy(?;{0t#G8W#Ay4W{ifW*qfub(VpL*>_xrL1K-s2@P-qE8wkC1b<U9iwb;cw*!5
z&60v{np?N)br|78lHrWWYcueF;`?E#fi4>Qn(K$f7^Clf!j>Ih&A~j|qa;d!ilTOL
z4cRlsSn%4wM^MHRG#&=uTKS!d^=(gBtCUUf_}hmy6JQ0Vq`=Bubu^51xwFnv&IAuW
zJ(~R@+8W{lAKpK{R}VM+sSPsfFh)a16Lp(<8(0V`)AL)<!#lB0WbMetm?d}qB+hW)
zoPyZ{wF7jV;zqq*Lo>n^aUC`RR6D5hn0et^Pshu@wuPN~V}Ki^Owvwj0Vvz76ua=6
zj(I|}{lC`fqpJo-B%uJHPC#zg)n|14S^g+~^0*#e8Qa&yB5<K6?A5Y!Idr_fFGaE?
znTi`o(IUhAoEPzyG9P2p@p;cbcJqD;zRCO`ee*UKJVn&TuJZfg3yEdw<Yi=}w~yM?
zyyn7^mis*NB;OCNo4oB+(!zyP8*7w*a^b&MeoC(u`Tb~~x5jE#4f{uXe|G-j!ubBW
z3#OV>RP{O0tN2eD*M0E)kvhtSbpwI+aztHxse1D+Yn38qx;U6;AQ%3bj&<Ff(!te5
z)wcMJ@5@PF0(PI`!uO7mI*nE`<`~H}MShV%4|nI7GCq%Vw<;vr^7&HoIpjaBM@z8&
zOPsX?zc<And3Dv(Ukh`DW)+HjMKJr@^mP9nfCZn|WGY7!FU9i2W7~w#`VbpoE5Ojw
zPZ!MC>c|*+w|Dr#0`HQF#7b!)0EZoxR^LRIVr^G?*bb9fo}TCA`y@v@=z1QxDRxE~
z3yOa>&Nt5R=B-B$(NEjL)dTaTS4EYO^S6HZ!ls|RT2Dsc$V(1nkV4mev{FR2mv^FN
z!!%Dwg~F6q=K#~R>ut>$dGsR>uUYeXiq|T3&$7+W2J-)N)+?8hLyy;V#Z9-ScxDQR
zM($QxLn1@9xuRSa6)`5u@5dBRG%$_6Ti6=BL<`di;d~Fb9X-J)ndUkF*Z4?zixmXY
z?GL#(N@K7>oX=F%51uF4)LXK`5~#_+r#StRxU#f+*-GhOJW{rN;AVm)M189Noy(BG
z6O_)W_eC>2+glF{MMEqg?f4}<sb+CJTkx*OIrtCHf>3l>v)3FRUszHimnnvC&)wc0
z9WcvFPkcoxus4Sn%MVQ2Ul7Fs0_#QQ$vNK7?9LYn<!12trp24}T_Tv}&LkH+U*M${
zn2kTyF$2%QPw9qcB6vAFdksZX5R(ZC>qBzcFyl9oF48WH@fp1`-Tp$@xh3IGq!Jq*
zL_T9}NfyQww>y;w9xcK`y|C9~7g#__sqOw9D2!QZszpXDVdOPkuJ2M~L7Lm50P$#H
z9IdrZ%e^at%LVVfH@nIN_a)aNB}#>{$#<hxg_{^Q>-#OTU^5|E!3|z562X5jf4cLe
zmSBV7?)k|UQ?RT!^C~x51bL73-@1=Tpf~;YLeh4=w<{k^eM=I>*Iwmf9z9YhYU_2;
z;2#6dU*jD)_Cgee29nM{`z(W$n5+8A`3yKxdx>|oN(|d?+X*HRWpP<-+0M)r3`jlJ
zINe?=j)NN}bE}sVF=*8-rRgaX_-vdKQu<~I&Kk<7uQ(-#UuY7ZIaf?z^A?>J4}D2g
zSRwaJa9kcI8ZPhzcbLGVnwPue^Q6$0<tzEnUlH$rhJRJsCg5kP$K7rwgK}G~>s%H{
zSa*#cThnU{eS?&QuxJA6d?#t|t58OctLq7$7-Ohvi!@prDvK`Pjx4^JsESV7m6E1x
zV<<gX-f$z9h<7**<{^=4csMgza;cCpc<;_RdcIf=)BpDIy3#dp!{wmvy&sHVyFv7K
z@ptkVRNP3r^G*|Yy3Vby9W??Ie~qGPOGTVc6(n6GXyXBWY2~p6BY5mu`AF*q36I%N
zmx41HsoM`6;aVF*(9gYO6LV$UsC57FgNr)&$6@>Q>KtPb(&LI8;Pchz>{8cLGZd^^
zxvOzM!34(I1YMtAUW%tTa27naQ*mYNwYp;gCLmq@<6cdSIzD^<b9ktWhJm?#3X%OL
z;2Xw>pRm-#kWF8X)hwsup|OVjyL}ii&pA7O4z%#N>q&-1tv;Gv4cu-bX$n&b=W6WM
zYop*+`E6^-hS+nk@o{{&DfFuBzVRr4jF4g{w=2d72NO(XPFFBtahVjsna@{^>}#t-
z>Wy(Zxi0s46$@s+(0i6&q2SI|y=$lTm|%Y=m)Q4`4HW9!H-`pYRJR=Uk9lo^+AFu|
z{+2ffo^<DP>PsqaO4Up{Z^FP2WtC@S_gjFtUWApvAPs*lgzrf3VxZPi$M0VKmN2_l
z;HyiA9=>be;CX5r0|jQtH#fOiL%)=kqje!2<<A!7$Qv_|G1rpM>$QOo9haVVx#^>D
z$>#yq6B7)Z5bc@VYzs-{F6V<r^zr-m_Hqu}1ZxZY^zGa1Ah_c+(TZb$tqJCt+Py}o
zczxBUfeZj<_((;xj{$D$IqH=9#Q+Wcvip4Wxj@jFw<B#fK+yi|KYyE!lacF}7Vx=~
zw^pK{g~0EJ;R!n@tY|nB;lcW;Y!B4K=0oex>ZAS?uO#m>1$R__tW)r}2d7}k(wGrC
zI{uXLcAwG42!Dw>oosuch+bL!na|n4zovb48#S?y%UE~wmOZqD2_)A1prN&b+qC%w
zRn+!4_A}(FJxINMXRFgfMY`I3`__I%tUvvB4eNwGyg4e}AbC_5ZEX~$T9S!qbX%y}
z(ajz__pR%X(4nBtp#w+m?36+|)9c5!5$z#seR;DPkBsQ3hORXt=;cx2Pk6}xUL~o!
z(R`mVT+%p1Aqe6k-)x6AA1(y<69cO!`R@%gK07r3<`EicN7EK@LA-LPsYX`=w@mbE
z>vF#HZgjVfj^_dxR#(wm5|-lKP2=wAw?FWH{1O_SV*=y}8XZm%R>9LuNtf!30bZl^
z5$}pjJCOQkSw-akN84oX&{suv@M4EEPXssEf{tnArG^LvtWPi7*%DRDldc>0pP1r+
zU+cg^Qm7n$a+GxI>P_cuEU$9iM&-cf+yr-}Y*{q8&saDapJ^8uop3kC+XmVrwtjc-
zkwF>xWSgkHnRX)Q^>ym=t-;>QiXQw}5{F(KxxDXpEbo5+0096043~F2)n6FLubJ#@
zvgdX0HSWE3_&!{fN)$@U4iTcr3Jp=A9hHU^DUm2Lzo$rKgb<Q`Mk0G;kDq_f>%7i+
z&Us$1&+~rAGoN<d-){hoqx{Eog*cH;{NuiBKXUQsZg1xd$p%39-uNr!<rZ`zvSBn~
z6~`q`<`E;p^g+Cp@=GX=4M|EK8myH3g0CN8^&4x@11bIIL&do)=;Di28?VAvT(stM
zfv1ul{B|W(-sWdU7L&7myFPW|K9gaA=#nm|i7bA6pG!bJez!{|m44yzjtWangE~+j
z=;qNw*ucluYi^nU*N>~H>~{Cwrvm}4a}Q2%tl`QY)o~nVLwHAgMyq#`HrOmp(~7)T
z@EL3CkG-WMICMMD<SJ={t>YJI8L4GFIeT<k#B3a26-(9^eW(RnzxU{uY+u5o=$7sG
z0;cf0zt8=R<JW@MXY55?ofq+#mbjr;duMRWseNNQo(^IpR;JSa1)S=+JH3E5hr1^l
z2<vmvfpfJkhMcy5$DSTKkwKovljpST4&0!Dk!0Yjo}>l*oaopQ7X3xM<8E0rS(pa8
zhWM*ow19hWm62<3TE?r(?Fk=KsNkXAGoUHCh)W;tHF8Z`#fLl^w(_Y{p_7~YPR8>^
zJWp|S_$u25KI0`#5I~v`=+)Oa<hq25E_?cG)e?|u8>zMFkS5%Ew6PkxcNssctE5z=
zz>K&$E{Hzq)c}-5;0$nG!3*gP!tM`P&=KytLLjaILc*%yLC;t5k}}ptBULt}Um0EU
z=9oHsisuZhkXpy>?ru$e)y0mUy1#ir$x?&SYnrclYBq4^+VFQfb2-q+z89%$ixiNK
z($7B9LO>Ubj;(Y(=R_|B^kQReDRBLErH=6rCNy(7C@r*+8<juP6g4d&gE5{Z;K9s-
zKJ{;X7$DDwxcd9`YE{T!iPz6pn6o0O`(eh}?fl4Rk0;-^R1$n37$1wsXG3u&PP}Jy
z1W-UfOqnT>VB%$3p0ME-RO@4NM6^f{Q9Wn(Y80u0sG0RIY=Q&1lbsAT?S#>K=F6wu
zwyLlwQ}%J9juSng?vpq!DT)?C&))dTtO^gp*J`a=xzPz9R-+>v;^=}Ak3`=GB6zk;
zn^tl1A)&qngKVkoXxpC2aou}F5b^C*@h;;>3i)|)RZdc<>q5;_rwAhKrJPmf=h^H~
z-$G<dqYU!f5_;A$k_Z`f3{7%`Aj*|XH#60dLzZr1l!#;^P~GR>Mso_ISnB7BsVDNt
z?Vm~dz;`0dAJL(FDiJ}|yJPRINGT%r9Ts!^2CDG7XvxYwUJUtMiWdC%P6@eh&FoXG
zQ3XL~G1c=IB+%`QVdv`ODrm>=a{HExBnaXgeEs&JBnn8JHgZ!^McmE&)V+aZn6<O~
zJJTVJjFiky-kK+&Q0<@w#WV`E(Chu4Jd#EDsYRJ9Efl2m;aR+_fI3Vko}{bw$f4MQ
zCISCEb;QIF<7#Qp0LALiMoY2+TFz=8i8Ike#MC?Gw?{SMGn=BnQLG}O<;&bZCPzgx
z|A|cXNYFr4yhB8GL<zZ_Z{%H=pdxAGUFp})(jl67BIdWH3eruR);*I(L%Q|Ht(;f1
zpois$KIIJ&#XKBP8ds;IqN4I@!b=^{z((qgIY{VFPxU&_bvjBfaVfhOp$9B!6~EQ?
zk<sM%g@yNT=qQ5=o?H4Dz%Rk$A^ZUp6vp5)V7f;~<}$uX=01kdq_0=)@2iFq^;eoP
zH9AW4*hS7iWeoefJC%NEt0T+Z<A@SYLprgGWBD|ImB#{N#UIs?a~8W!?Kvv)FY~fq
zl{SHA`LacQoEoU)r$I`Ot|n@}vJ{pwYXW5()9;>gXrST2md4K0YRI7Li`{UxDQq-`
zY?CWdN1a-3GE)*HWM(dPrA?0k=UK}1MkUn|y1~WdcwHGK$vsNTPGP{?H!iz6b=8pl
z9`U#5#^sSw3jZsE9tOmcfA9FpPeFwb|Izl8OQUYV^4$ZI43N>YYNEU$p>o@^DZ5rg
zQHJzbom4La$ngu_s|u><eX*Cj-sf#-srsYIRL<u4mj9}x&#Iu{&e@;)E^wd>3AML|
z&J38btQZN;S3*s>H=KEU*6`}cDC6zxrVyW=+-udRfCl4OFRz^&#rFpC{k6Ga3RVA9
zYznu@BTaXs^T%D&@B(pPRTkmR_a1l3hrP0>3%8&%jSXOJ{2v(JNhXkcs(XG|K?-r!
zoEdn+KZ8a8*;n*a*aY~jUS6^55l1#hJ@GcNMQk<UhIvmSz<2IQ+jE~p5Wz8YXUFkX
z>_icVpPU%L*4E6Xy@P^ie8iW(&vXL|pbFnk-hshY4Wl6M9otYPrGkg=0s%ZoM^Ert
z83X3@)m{ER4{CjBk{dlifVs8o{vAF>kjj0zbW&w2+HV>fJIBEUP6cmcciu9D#(HIv
zoe~@J;qGPO`$K@fS5}p46+1xdW!PxVH71ll{)o%zF#*hp{Nycj2EeQ~+{*i873cMH
zldRAqKoC)+W0YzDr(+if4|UGtr?&@<=iJ`F=%OSxwGe&qX#6j^@!d53y)MbyAa@-*
zdCuQ=f0Z7*-`EGP`~Kps?Cml)zO7-~w$rfh!g|o`>q;BY?8j$MZLf0WU&FlbU373h
zr3*)oq|Aw}w&QV&m{f%CDwg+W<9cj^4lEYG&Fnbx5zk38%0Do%f?4c|ytSmE189}w
z-V5<`%*HJJ*45+{jGHv<9q>RK4y?2NN8_x+atcp8KO3}yJ&IO5k;|qH^3OiGcYSWh
zUhjO?aVBa7TR6Sh{tzwjZ+M7Ybb7JcRJK@p=?eB|)a2dkaXOrIO!>~a+K&Y`J=tJY
zUBx_?t7!^ebO_E^(Yy9w2)i49x}BwA6*E+kJXt(MgW2PPf3=zZVjUOvSnYnchEen)
zm~6ah;HWzE2irN0X<1i3V=Y|AXiZ-R`X;HMMrP2g^{220@7^WkENx)Fb*z{Vg;Qa|
z;qFUH{WKQqkW#W<P5^-scC&O2Dy-=zE$(od#SB}%=<z>df@+q-Y1PS^@Nq+1hrT$6
z>8Nvu**#!}Eh4vl$~86Nsmh%0g{Sk_*L#N?-HKS?ndj6+nM4hctI6ANI=qOP=-K~c
zU0{XyJ;F{&&FawfM8aZBaT!a#l&b9Hzz&8~As#j%b#Ul=ucgbkimjPmc=%&@3yfdl
zYshd`1D8EUH3ucuu~eP8QNxt2U_V^PTv<qg6Ljr8`AP)9PX`GkUE%^otyqV5{1mu&
zROMEi4HKmLSid=t!~;?$&5>*&WVoRzcGD`E8MuzbiBNj^AhB|rpZOmW96anGu(-kk
z`C6JUq%^iclQ6AjhZ_lMuJZTQoMQtIn;nh;*9G9|srlBLVO3ze68WZEatoZcIX&aX
zEd=LftJ0VvR6#!O(ueSV4!B)udFn)-Ff7kDQH`Wj!N{fHm1r|3yv<n&V+j_8j0;|$
zxSNQOC8D;lXM`JWc{36}dWgfd$!w<sw}`;a?fI~g$_GK6O%3uFwnOnRnZw{ogesqN
zt>qp3aP}DOc=%^2_-4)49cE30bUW`;;+g`WfO+ovD=iB)ukOrn9U;Q)o1A|~vjic*
zhvTa2895LXc5}WQPJ|0*jeG@+gyEfCw%YApc`$QO-?36bgxTflrd@L)a8dTh2hZb*
zz|oiedAo`#pd;@{Y)xYDs%iJ23_%%!v_`pzWvbxt<Yo8CdI?aFULN5uRDryhvz&A1
zNw6f`U&uW!2{W%>E4hZLLLg<@tnC~bw5)N@Dw+&LUH0y*uq4BOmxE=)-%-Hkf`4&Q
zqb$tjeW+wtQ-e}&yMki6I(UEDd&)*Y9z<@g^DlF0fZ38jufm!JD5tdB8+s_f!F|8F
zf&w&QNXlZpo{I{H8-D(}SfvQMkzWPOtf;_$W>o3}g9Z;s)vY3`%CNXN77(yGUnh2d
zqsBg`gG9?EM(!;Yc>BXc`AaPgem$czZt7@5mStLg>MRlHZs&aT4$#5j9qve+(1FV4
zb@TZ>BycNybQjB_!#AHhZS%Eyuv$iX7ZFDWl~zLdCq#$KcdPv$RT_Y20n2}aITYB_
zKeWhme{+3Z>-ya)LwNW(8_A`qfsTknc$YjKnmKp6h140tCyu}tnwvVXjM#Waxzgas
zi@o9P&H&m=LXzc!>QI!y^SsuU3T76ex~6+gU}=0mc~n*do=O^rpJ3611-GQs6WdKe
z&LPRqYuhGwEE9G{PH%E&s@U<edQ)hujd?m=s1Ce3>JAcDRpI1!!8=zDF`%=(5hZR_
zhXE0#i)<50VAk>{J@g#|x`k9lzl*2=jan5<FqenEb+3@FzYN%&F5Ry@Kn81#J{6nO
zQc!eQBQj`#0R=h5nukM4kaO^Fjc}O=9P9e{M(Gy=nk)AQeC#6v<D*l|p=5qo_8PX=
zf6jogSK<AkWEDusJ(wn7&kob4#+yqv>v<%qb<x{Z33!<Ms{#niSlc1&M*Wm2)V)_0
zue_lE+BzMEvxS3L`bD1zN|Y(^rW9XtsgMH;CiV$0=_>pUk4@q)W>Xlrmu!7}R0dYs
z!(H!B4C7Nl0S8#3H#y{ze^h6LBq$yp3qPnahwqGzY5Brr0t920-M0GT@b-yKT6W(O
zjw@wL-@FLm@3(S?l_&!9@0SvI2G{U{gRE=gEC8mZiZq}7f>5xf_H;3WfD8gF={<rN
zY`G=${ZkG<{AMCIC2%sKc%86QJBh~78k(&=9m@@@($$==J(*DdmouYDJB>i(s=vpO
zG6#Gov0YCIWI`|cL|lGua@P;R<>O*>R*-*elIdyAgz6^N411Dyz#!XBT52W%suHiq
z&n^&<y@G%*rPToP!1_Gz<T7^jcL_)0Z32q4wv)Hsw&|x*x7s~T|6#6(?|qmY0o6>q
zC)V5P!!i>^H%xm98zaZuJnFWAd)=L|kjT`7sjtMQ(ttl$E7{0b{MI^tI(&CR?V>J>
z45e1KkN0BLchw9Xzpvr0we&5%*19mEpTyK$*^K$vWot*m8vac?wJGb(riV61ZO47{
zvD-TM=>3*e{5{{Wf{KU^bSIpuA=a1UlOBGvVmDXugp7>5tn=Eitk%^^acsd2J{YN}
zMy%qu0~5SQ#<jqS@$0Dhoo@UUCL+%LXcf1RPmU~i(SqmpgdUfuKD>{Mj`@wR;ycG3
z)c$>^L;vrF!@pdA<3%&xJ5z$z@T$EWgZ?&j*mCG$&26?3d~HLz_$zfCZ}Vb1!}pB_
zKmGpmm<Sug6EmMKYbtNxAtxup%Ma7weZ2abXwxJ<ioKxRP$i(hR*}LUy;N{!{G+g5
zoyPV3sb55X641Qy-p8xnRQQxvQR=8Xi$8M}$$FK?gnrua<egj61kbyXYHGD}_`pDL
z=J^z6B-L%;@Lz%^ILcSuqy^67Z5LKPujaELVXmnw>WZ51qA9FwoU(|2-5|KP4YH!{
ziKw3cqBI~PM85vb@)FLobIESQkR3f<c-?TSLLKx!&)hHWTfsdHd5=_;Z9yLouD{f0
zRR>nT5SqrHHGIRb*t6*PRwSiaUmk0-nLBxJ<cS;v^u@Wu_k%7M+VZ$NGk-IuVw8NI
zYf+idQH!oxxg9*{(#<XXBpwQ=o-V8lKFy4ptNY`;PxGPROE3}>N`{5PdtXsK3ljUL
zGH*P|k3>!#6AGFj0l_75D+_}S2^1vd?_mg_Zz)qpzxtEFYD!1rKsP(`v|`f|EEYtY
zg)pbCse*_~f&YK^IFLze!}5ZKFxvMm{jlOgRahz<=@1C!M5jJgFrC~Yiqz=IAzchr
z2yi#N?t76N^?a424i1YUrF#MvF&jh>A_-a~mhz(1XAz~Hvl6ItNba)9=A7k}Efdea
z!;d&U&n-P5NueYAZ(Y4oK!jz+@ulMaZOEcpMne0h4C**RCm6jZLT0U6xSN$AIy*R9
zk-be0B{Y3Iggz6&B$IjRVz&?~ypU0~5Gap+tQqW|+q^eqqCKW1Mg)BbJ5Y6ZLILga
zjnUiVpbF=*#vim>iy;#4se8j0lu*}o@sbaHs?gOz{ZL^lfwCX7oJderLCHhh%2SCX
zusNhDVtiN<-H$BsBMcGILaTQ1a1<F1h-DmgzAlYAu5i=53P`9XiF!dHg97oN18<}U
z$|8;{M@RIpQBc~FsImEGjw{`BoSMs*L-AvNFUH)|(bQm)>Ca*f80J&699fk|)LTD%
zJ0vvGmA58d-rbt8Ouu!s*H#e)L^ZbFUe-h$4+`4PFw;Q5X+Tza)1S|N_Pj~0qaqpE
z<;OmU=#c#6YEz$>3VL3LKVgreq1vGR((p|SN{_Nf42Kbs{nvik6MS^^Hp)14C`<>0
z?VqloW>xfJXUPrOKstI_wvhdwnI34v>o>(hWP}DHPAa9)k@DID!FGxP?0s6sD{e?Z
z{iX+g2FB6Rr}@k~PAY~FJ4wk(GE_t7#DkL*H$C^{a1n)~Vhmw^syDuKsUy+0wBZY}
zG{pHQ`s+?!fXJ+(UP`Ju5<W|~Gj*4W@^Al9psxVz%ptDWPphN;9ABer$21WGA4+I$
zF@YY@7s5xD)Y0~}Yj5P6)X>l33WcL_rtr#SeR$#RrssbAgjZfAA;aL$E{~-dknS2{
zw@XnS<$jFoU~s6QyYVLLx8fMk6dprL+pC6n`Q;-o1t=ifYauy>4Gj2GyfhZ9PC=JU
zHHB`~%AongtbvW+oBNd<<jOlqsNv?YMk1>?DlKXeebU8%+=Ka#D7LDo%TcPb|C0c6
z1(sZ^R}7F2eQp!{N(HrNDLb|~aH6TSyz-{w3<%lk@c87o68ic2{tdHq0^(KEwvc9L
zz_V5RWD9vk6qd7J!=Y&k4;0JqV0&l^uy3?v?;&}l_kruie*Q1`n#*MNYdKSBRt`&1
zxhacCqX~37n_kRX+oI;oGZT<Hp`<61CxuGiyD+t{PGbA{wtIe1Gy&`M4i;q(3FNWu
zb5NPZJk~iDY)Q)m_*W4a5VB7ceHHyXy`^m#gHsw+$tnQHXDyk%J%y0+-i1n!-)oq=
z<hu};qZqJBJUu=8ej8$r=>Ozczk$7VdG+(KpD}P8Avb7U<wZ+@m)m&V3D6?;&#dLD
z5xkeL5X<1@M12=#4tT{803=>IvgaDY;FG6+3YgfDM%2BqUjYQT%kRbhy=w=2)Ak6F
zcVI@k&t<L#k_lkt8&EsRy91JaBAX}G*YUqSE^FWKZD5`%`y~7J82~sIF#a4_#P_v5
zlgxUzj{O@ttEzcRAG!zolsh+b-f>_uvafLs3ut`%*7b)T2>qIuIwUZTztr^}jv8OZ
zdW2g(5Y+VG&_Of(p8p1MZ|JShkzK{kKT;&8U)F`n6l1n$IzR9|#}wMG1*~9xO{$ck
zJ{=I0`PmYDuL1v)Vf(ygU>WOEJoY5iY|~F2tUJ$ZW#Pwi8WtSSFJol_EhqV3X~W}h
zyjMphDlxuvtMSxb%h;maw#-vv+F;0SBXqE#88cGF%-Ic>F)o&5AIEE2@N(uor<QgX
zHmfdPZ05R*i5>Iq%3G(ygL93>r-J^&Y>n$bq!uq@8_c#`hM{yoB~O^&vkhYF@%qsU
zu!8AEtXK^Gqk)-P9+lbo59U60pZ<Ae1(SayawZ{!2DU`ij<YxaV!`K-#iP+x?E0|;
zN9i>x)c0-s!kjsdy?=1BvyXort3Ubj-PKqs<ejHfnH`?OZdh}esQ7JQPaX|dRSHre
zMr-B@bJsKmYAnA=7YXp!|9#Z^XPUscs3?EbWfq&fSlHs`%>*8oFP5Lt*Myt9S(wwN
z=de`$P>sw0X5jPwCi5#p1MdA;o%wfr9-BNgq?z)71zM$|p7`~sLs#V8RGVFk*e=7b
zuDb?U!S$baLawAbybB`hr3)@&X%fcMJ=W~-)Qx8H#a#{PG7n^G*H<vDlLqepMz%oa
ziZv@?(_hS4ZkCjAuVX8x^0Lq7Y=yuZv9(V(=VqF1uZWo(0lqJhJs&1>0rCA=e;$7_
zgk74vRcy@!1(Z7$v!y)1>EZjPv5N#uGc{=ePne<I=1!Cj2R|hDy~ZzClHh@`VeuYT
zR+tz^=hLmWLEEZ-*;u10#JKnJG2+<Z#i-{7Ymopj+m}eP*sDUt-DKBT+7`&3`>j}K
zBm|eI?kEmV5h4HgLrHJKR!DLmk_j0RhUy2G&a5O6fpx!hkM9B})a86zd{HI}hIO}^
z`Yec$aY*Eh(RLm<`a5TUP%I9}){}fohzQ^L>>G0Y`QX&M?qbf~?Qk&aK%?E13V5vf
zJ6f;uL)lI4K2^Fj49ov?n(bGCLy<J~ZH@xKW@qHC>mUnvT`4j5CRJd&WWph?9zk#v
z8K)K&%faWq`#RI&L^v5Go2`6K80>b(k^CqMaKFnd%WBhqtq+!)%NdG7W|-hSR;mbN
zql$!^T}0qzTJ#T=6^CU*tagu!GT8ra^B`?{r&^d3ZHMZ1a5I<ndM!zWGkglKX!}Tz
zc1UDt`mhw(J+bn)9ozI%<((9R!(>=8JfCdyLIyszGqJ{fA;US=k|s(T1$Ohxe~RUk
zgWJ6|7mD-MpqZ)OnP<~aTZQ-=N{`BeYN1yiOOgh329WK{w`#&G9hVmpZxvwsukOmr
z#haYB?o{zvo(hS)|2~9@DZv@udd;>ZD&#I+uvYS-L3FIv+wf>*NRZe)amj@SV*h#+
zOuFfSU%7KVc=Mm64;BfIbJD@WOgK*~R2xp-S2*l^NEL!^^?2Nlr$a=TjdqQ(E*xx{
z-v8wl3EI#19M0b4V5^YS_F)x$c+Z+sDKbWea=D+R)j>MgIevF{C+&d9xrSE6p#}j`
z2m2Ra(m|-3&GD1I5j=3W%pX`#0}CpLeU}0qa&n&J7w*EKBg^sopFDM-Dcqf_-cJLL
zL>`&`6ac?R^%@5iHK1riFXkDU3UXOOJ6x}AdKSx?R?-0tIEr>xjl^lduGNq!qMa#h
z(+#ocSJ!|OdxTE)T2UZjC;P89CI*yN`ln@V^6X_w>mbu6Z@nz*P2#!CfDu>i@-ORZ
z!1ZPIzMrrXyfAO5;QYaW%=PJ^yafudxtXCV7dbF8o>nVkH-nV2WU)v2WSH-gB<bGY
z4uRo(9XGa`0sE*xyNDJEq@!O6+x->-K9$`MX8$mNdtJMO;|3ATAJ_Qod&L6_$^tr>
zn|_+^z$el6MHw)!h$-hSEFeHvOq#P~z~4{43GwraaAnt(^oW63%+>Jmg5sblxE$Ym
z+DcLZ{;T1tS~vcNh3>!kZ`#)sidr^y{M;!Ab2{$R=RJSoQtO)0W)mi`Rxq2BJ}(W_
zeM4XPeof)4e+8EWd`*C;!M=qUyB!|?llj;!w1^kq_c`x20$^Z8|JcM3gKcHCR@-dX
z@a-z*$DF(X-i3b571a@jJn5?7<uC#oN^v;yuMGpP$cK~tE&?E(@kOpPoe5nwj3jCI
z8N>DHUv;JNe9)P>-F3m78M!PM@p;c1!Ew>+{y*wCA?dlyjj?!UWZvC%eL%<v*yfrj
zT4C(4`1p=obSyKnep9o0)6fuR(%Z<N?lD7-pjtVz6*HQ@eD0UH-wtrqd8B7RS;x%x
z%s+g(z=YVC+H$vM8Nhd|IR3)X1?+1{XvxA2CKP^xxvz6bADlyqA4?vY!Ls+W+NR4g
zp~EQ)qz!d_DB^fSKKAi1#&K=kJM$d@T{@GUv>d4i(qpT4EXVsWTk}${Nm~L+r|59l
ze$$1ydreax<lC@g6Aw!&SP1CHm!Mr~>bj7c`fbhT;(M%AsPF1{{081B#^)b%QwQ>5
zdMsxil;9p!k9x-qH}LXLTf_4IX+z!5y;6U&TJUzWF8d7W4Sel`v|g`^HY`S+HEsX)
z1Gf)cY2ee^!1e1&)!Li2Kx}r!zVLcK&J-=9ck=uOo}^N8#ABxxzz2$?O4|@FziTjF
zi-~|H5BbQQsH8*iOsf7s^Iv>6uiydZOh9~l^v{&;*z{8s%blZ%6S%zF?yIrg1VrU}
z%DSt91|mgGmc!!Hc$<d$-ReLl6fmXqd)|}=#kNCNCwgXZK~H<BW->EM&vj5o4OB3G
zlXywy(Hssu+|AEfSWvKU>{9YkDx7UHAD1{bk0+XM*N9wYLFeu>U5*{o1a0%Merbh8
zynMb#xk8i;b)Flzdi9bf#0^YQq?VTO?zgdXB6jTPd_nZrTuDv1mrgJF+P{Kd59xY+
zv3v_!-y+s89IOFXW;0kCey`!_2YJ$A?^fjSci)@vGIhut+gI>qvmefTN#R4xTqx*B
zFMHRfrzAv=^L|%mLS}2b5891zqb$c3p8Kw9aPb6R%r_@y)J@rQppL+YGNO1Jw5uo(
zyjt3yl*fX&46e1fX7M9;Vq(N04GLHm^u}?Evmt}ij~-ti-i9vu?awRCBE!K0tEu{F
z>?rztht<5fAPOZE8`_e{5WRMD7WQ(WE;9*2U7ZlBR0+~CEhE9&E;&07QBH(*RI}{$
z6G2h+Pe1%TN`n6Z0096043}ph)qNDlZLU2p+4H*gy<9T;A1h=QLM4<aiA3^P3CT`L
zQ6deMBBhj4{~xj|Wt0$+nY}kpZ_lgmIWNxl^JyhCu(5M;BK!Js&L(XUWL_T4T+OZw
zXC85+m8x)~-+HX0*A+yOuj5_*@1K-_XLR?IRYP91Hu2)Y@Gfy=Ionm_a!(0#s#O$s
zMe(7f-I<Tx#YrMh%jbo|8A>3LH^&{($&c=|M^E;JOCyhVsS6p|N^t!k<y3@&Aet!5
zjAL(>LB8+(EV|z-0ejB6_Uy0_k{kOdn5rp<R*Jf7zA!06imS*muiL`NSh2l{{kc4H
zJgrY%3sQzq#&0Wxvpdj}7ar`P<|K5ijF%X~t^!Z?aXv=@VyHZ9&+3;+Mf8fhi2qxg
z3RoU5PHjw<K$6{s2BU>aNSc2!lB-=69O5U8?>9)H`@U9ZB>h#;-x~WeZ$5PhIVfaw
zTtEgjoZq15+Np+??OJVkuWG=Q%gH*ky|QSrH0zxCwmRx4Nw~C7Oo16u{pI(!<WOvm
z79zM)(CINv<+%zf)V1$&sGOEZ1MMY0)YPa*4XccNHKhqW!o)VB6$y>G3)eV~QW0~$
zU01CQ4T?BDeuUmtL=oW>xwjWJ5uKYKMrhN9X2E2YJ&R-%OI>1{T-QXR+Ha9f^iH5_
z<nV3QQ%21x+zqzITF9?>+qcV74@AQ|FOz*$&>beZw_k0v5K)80Kug&G%Dnm;zXYqI
z6qH3bO4LFR`!`xxg^fV`@upO-vl_B76ZDI}sfpr!t)vs_F__!WccPk69Yy?}@MQf?
zMK^Q>hB!|Fc;25oI~<~p=JnpPEH_h7ThZ*AuB9==#KD7ryXvU!mMWgYqJcL04oF0@
zo51<Ei7W$`)KRh@r9_ll71<vO!la8$z@xLN_Mx0Q67My%^=l?0?OM~9YAU9X8+ugM
z^qd+hrk-~(_fSAyVYx1S7fhjCvGkD1B~|pt<QI#>xC{!s!LR<g)D-?^hWQU1P(fu3
zmjVYRBoKks1#74<1!>O+r_gmJR4FMjmfuK3VZ{3{gYTHaY;py2Q7{>O*+JN2&%lRd
z^iHmpoiGJ4-bc&tzL3yu)lK#KkF1D>lbra(Ou^ABc&t`f0o}ayDOIm~6W?gLFF}55
z0w=U*{77zc$SuX_;vmZu{^Op6xUP)}^zirZ6U>!Cyln1*Y&+`lv!i-WT^+^{S<3VK
z?N=#O`1X2B;7S*k%cHf@eZUwB2eQX+B#I-ZcMt!h*-u~#1&^-p>;<q@a4mH{u>&3U
z@V`iWG><iid^jO@1fbKRAOQVGL|uBBr*5V#W4Si+^)6pA2s+Kbq5MGrmCRf`-6y+-
zt&{D;3kP<AuCa9ZCtW_|l^hsb_hcQT21g8fZ5V;jo)Dr*I~OWC;US{#y@5G=+@gs~
z8bQ2&d1dNd0?PhbCX{}D16!W`=Co#E2yuHVPUUwpBi+L<187Pc*qN5rxS#(SfPlkv
zm}C$GTDw?~Fc80v5rhxDJXxj>#iW9C`{pfN{k(B=?z1&4OWJ3_dO;6XoUJBKA6~`#
zgD&=_qE$?7sotN{P!DD!RX5gC7jWjGgF*w1D_HII+F&eM7b5TUMJQX&;LbenJn#Qp
z#{7hj&`0&|ghcBH%_9tBxb}7G@!+*3Or^H(#xdQUprex&df#~ff5MjMq(NK4=#v6N
z@7>UW12^ZCYP&mec>Ru;lDddpH()IPyRHo{cVB$s-Si26#TsRu#JY%G6*8(>@zw^B
zqlaMm=u2F>ftWS)Z~?1xTZqqWrGd0Hls(IPj9m+!O7{<3z>0=Pk0zSYz@}p$J8W+)
z)?|O^nwiG}HXZQP>B(Cy=$b1hRh{^TZI{`_D1|Lx2Ua+iJ7`+qefBrJzwrYzdr;tW
z`|ScIEXUL_{6Z5#RSLJV9DZSzRKFd(ii_CvntLsxX~K3Yr)RZGKh|m<E4uxD5##Sl
zJhSI56&TKSsXib6gVA<=_T`CL!agPWFa?-Wfz6|BN4V!O)@Cr_DI2hiv2<_!75Pem
z0@G7>a$82Rf|#IApQIJ+Of^S?fhPs*<lJk!jK;CVpeQ}xwpGkgJZ}8jhz3|PTjK67
zCov92$%{gE>sU_SpktVj25hw0+?kM=!CKf88amcDur>+Blfrw{Vd1ab{rv&67$5aZ
z+NHiNEbH{qn!t-{;N&}^AJ;O6t<Uv4TSU_VTk80aOZBRdmsS}XZN7kUhvU7cp3sBS
zcQKpOysDsfeq+|PeG%)ZjoBH#$^iGi3H@j8sR9B5EKAxk%UFeG|Bp>SCOAUW-%ow5
z3{#QzJZ`qDSlzSq-W~=PP;!%PJ|(0K3S5muEm+59{wp5a`;irVwiu%<B9tIVp7uPz
zeG^M0tX!LYL4e0U>QrUM$Pke;the!a8)LjZ<6PXz0ksoPKb-R*gO<hd^XWqL5E3D0
z*P+M_$F^D7MtT)tipj7=Czt^Y0wj%75Ap(2!Fa63aYeA!vCdnbVFa6Q4%ez`KA1Os
z#BQ`fg1W*7>8w|op>N6G-M~fwicxf}dM*jF3$8PMcVmSb)f~mvH9^R^e$>O$iUcPO
zu32!}5I|S!N<_prBILL_y$WF_LF>cdE2;h*aD2>{ysJ$F=u0D6j<hPkIQzOx0L}&R
z*Vm1t7{$Qfl&ARo3k5jV+w(SDo)@Z@?j*B%OTa_Y1eWzk0ocx%<<%tcK~LU_bpDDI
zKoED+-`5IoAgpa?6Po}mn;VFwd&xkkXYN_IK?M*Wk$V5(sUYyV9g)5;APZ@Beb)|Z
zl3=vt_~y$HB5Y(`UGzCG4-5VOIfy<afm{ruc+wFO_$WB3SG$u0cQWR@LoF3y?p@=>
zcjrVw%xHHdiJc6Q)W3Rc5@bkF90)XdB@O{b-)frYl_1Ss&VXN42|`0?Huhpt&{BOy
z+jd3;R3ED}9F9^3da)CUaqZIJ_`}CRdsPkEn)XM~?@)!~y!SJR>auXUQb4kafdUu3
ze4OW4)S>$RPqJ6G988p-`Sh8I3K7pg-!N39z*w9a!H!n}J|8c3R$8ZmSN?WKX*d<E
zjjKOIT_M5X$U6Op9!-!u_AnxRTNC8}OLP(;lHtw0MbY6rE#N+Frs?^L2DY(b^TpSd
z;M`AH*CuTm7#|c$%+JvQckZNT)PI~pxz#LApGAX9$L2jP3w2@KOo>CxM-?h)kLu2s
z(jf8ESr+`8KIml0H&*1SLH#X{*dI|eI7D8vN#iyGvDorGH4oLnGEFVKU{MR~PS+lL
zYK=h&cv*>@)qqH$!LlJiEhvd_YJKtcUypRhHojWdfU~s<S7^OdV6>59@qK3u46YUt
z2X|1QvgA<@=>P=+!yiud+%|y<meN!ib_%@P%Vs64t_GW~hOq%|rVxYCAHni8z~YM1
z=t+Ae5cm*l`E$e+_{V%I?zXDK%}w6tilz!soAgHYkGUC4m_WbVYc<GQrMY~g$pAWE
z9GD(#20fjDrMR;y?9U!uJ(VpA<7+oPzyF)-DlgYmRVc%;z7E|DM*$d`$+6_HF$1n=
zf#-hA{JZlD!;Zx31lYSLv|yRR45BVRHd$a(1dc0alOKIIu)~h?Rh#*y5U796C!0qB
zR_bq^yk<XueKt*a?WAl9y3cmJBJ#<>zURX0sn@#j*$;vf;g3v!oL^BQA|eBih~cC}
zgLxbYuzL<lnSk{9rr7rfB%!J0<C&bf4cwd~{>HCs#_-wDZ1&hQQTV~^Gv_bNfX>c6
zD9U0th95S!B^h*uK}3L4XXptNs;X~^hd6*+DM7AW>jEI{H}=}=I14)Kf6UvA4&dyt
zVUzR*FT_33DzOY_MK^A(9BO64U}<vPXgrJ)M*R`-Hh~TKC!C3A72E~St9;_?LRmpn
z%Py@@mkl+loo=P68^Nuqhm-dw8Q_Vlr~eLlHbm5{l4Eo<gim>C)(It>n9~=$FX;~}
z(wA?G9=KotZEc-j23(e~z$yBE#$;B+dO-Lr`K>-AJ}Y~1CUqLKRTNw;A+e&r=C&8*
z*Y)7cgoF9ymp|CFO7w|<S{790IQ3W6Ob^y$!yTC)v|_u@mc!XV7NlFex%l9kF3_$0
zR6e3`0H5*3jy0*UAnECieCCOr@WGq^#O%;lT<``2z1wC+jD+;!cB`Gh&2jTmCEah_
zzPq(!*EBOq+C1l2Qmg}a<x6c@zYpWq!xh(dZ!)8k!46!Qunr_o+jfNVPU2l#cMX|U
zSx{2_hL~xBHrQc>^9{#l@kz6lF;Wx@l68Nv62C@+E1Ay4$9Wg<zE-8p?O7J2IhQcr
z9ZZAUhI}eLnM=4{z#0Cs6jl_%;qzO0P773;{>xuqTfxV(D|76v*--y9ccRBxEhv*w
z?rXAN$4j=ojQ&yyXtuAYDQHs@67*!^Gj46-QAN|lQea2U!n|omlQltYpi5|KcpGQo
zV~kr2<3QCzZ|gx^6P`S^RNWA#M?Z@@bd7sBk(ep>lvEiNoOF~^6zv#L($ANYPX63z
zA${b&tUVRT7g#28k{OX&|98O~LcHka*rkTh845HZmGqVlCdBTZsh!BhhvF1xs$FhS
zAjLVqO-YLdh188p?~>w2AvM)BUNZ_X_Xm7je!z-S=$}>y+Xx`f(%Zw!lNzuk!mbzf
zZ=b{6@gC_}f~f!Kl}bS`4WJ|U2ds3mBXhsI(v(dhMAsoF5j&s`cDAJV5Ar#Y-rLuQ
zZ^R3u&!^s1L<Oq@!GeveDv=xQmaw+>P}_m5C`}>JLjV30N039cH80xy=AA9LDvDZv
z5pEkasR5(Z0h_D7eCRbBQC4P59Ce)_$G*%|gVr`qIGV$cuASV$^<qmBnFPGx*9}pF
z{lNpwZwCa>ZL?3d*0-gR?(+r~{{S_JjnZadG8aOmetoZ$FEVK1XI$UDf4nikYb2Ij
zMMMSE6t3U=a)`*l{K~#k4Ps_4U-oblLG5)XIj^0NN3UE-CrQHUpeFp3&W1}AjVwu?
z*!xWZ1ur%QEaj-f&*uR=rN6|GLz3LCWeY_V`0hZqnw1757;><CH%TDBW|suNCNfg|
zW-RwckOB{0d7Q~;l|n0Ef{r>Vqpafvg%$Y}$j|Jxhc#)W*D`s<@V5%monYq}u%JSC
z=?Qp4ltpxDoad{3)R3!U8*ap-304nBnx7cTA$I~|C-$i$g_h+=|7A_sm#pi4;9u_0
z9xsA}6b0F*ggie&PXpmyozogQ3TP?I=GnDM3JU)8&R$wg8?;hqufMD(p<5$+t1^I!
zTu3ZTUjOO98+Uc-OVf&|BgOdv?|mv7yuMG>_Rmh>5&QDXmt6^cIK<)B*+)g0cfMWK
z@zDeFZEBh;pE62${F;e8Nkx{}s6ybnK5WI^(&^YxMs)WNr5>!KqT;7p(N;GN;Tave
zpjfMd;_ux}zwS##+yatmdv$lgyiC7E>k(CSDz4bcr-g!!d?jzzHe#T5S^Xk+iz+(p
z{^3!?mIitq_|l790MM7A&SuA?hMv6~y5q5|hPKy*|1R$_hOxcV*)O+L(d!zC$ottU
z$ZBq>f2GG5*yI@m&sD0Tq@abM#3eF1x#4wgW}gY<%?E7q?NUYiT6`2fl1a!3v3Q6T
znSjQ+hNoSE3gRAMsZF$$LyInV@(=Z!fU~~*5rLb^=>3l~yxsxQ=xf=*e*IMw@Ef_X
z#U7)C8aTxFRd|Y_mtqSc&*n`4Z!qX50U4Ek)obQ4CZd>(4~?yDCSV-7JuUQygt+YP
zD1~M7p}pmclcE25)_zDs^<9txl2Kh2jGJahA$J$#tDOGj%;~QyTaZJ!wR*d`KQkiN
zfvtUCH;o}%vFhPsuq<j#+vQ_=bscB6b9oS!YYg{}9Li5#l1Ae1QLbglEZ+5;%~qIZ
z3`~8@)UQlZXcz_cw_f^#f4;EvJhC2u?nlZrt}Bi-cdUl~n*W4%&LlLCx&p+0PNrIC
z>_C*>=@7Bg&oCqT=ooT4241wHylP%y)SEbd<|ywstUC6YN$kolQ1>abzWH7dE#A<!
z3uyj{UC_v3&Xe8+1dWT0PqX>atFPvFa>siy5zOv=o~;r5ckbkH%w1m8a2aYIX8y)b
zc0GMWi7|vi)3*ttueeZHS?}qT^xv4o-r%^$Zw#PBwpMR4njNv(WIU;N?878A)!xf4
z>x0egKEd=nRupuvLi2+`59Z7zGmvJW4|n$_Eb8+xqeG|3oGp}2Y|v=`ubPW`;Qi)f
zUr{pyGNls>O^s~B{14AeUGC5YgB?Cqc3<dF&sEn&v*(|%hMI$Vua$K{wzz+sAh(6z
z^D|^N8>qsB)VyD9#_t3t9%n38Y8|KCPMsFkeu8B+we3<G)PcWFth`Q_R&XXQ<;!8w
z1$g6b2P;NP9q17|ZF|^Z37?JXyT-+d<1apSJ#{P92A5A4^VNeE@D?n3=)komeC?w2
zuPt$Hm>n6w1^VakoW^m9hgGfk#l9=`jcGKP{k2V2%$~*LKDX~1QR>81_Ag(^VxYnC
z9g&g_muK*6z5D1NCH%tK%1#YIgchuNDqo0;nZ|YE82QBl`*EAs1&SsA{zk{84AS_X
zDg2F^@t$DuLHrjTS5);mO|ZYSA1p#9@jPpVL(X4^@u$ryO~?N6Z^tx;$(e--{9Gn(
z<e4#s+eBRUiH)TKaV-0H?#Bt-!2VBl<&g<IC%=1+iHiy&?74+{eG~YuF$)5R-84Q|
z_0hQJCIxO#Cnd+QNxYOcE$~!z7T5XN?6|5z0f9GenD3uS-1##2aMjJ>SG8B0@?tc=
z=Gy(s;q_B^YRyEO=(z>_*if?cqi5<6#y@#<=<hVHc~A7<w&@anCU9$GYfueDzG%F7
zS~!DmUsAVIpswI0N6US4q}8BT{c?5rxmlbv?f1sWbPc~>zPB^@h$_rgJ;kg~%;6K~
z2B}u(H*n3+K+@GB6%ci%jATU4;}JErg9U%L@VY*ZGP+e|cqBfbxua|Ww+&G+kE^9a
zyRMA2ci1Y!@Vb@y0QVB!Xmy9*QHufX#y)3iJywFt1et2btIK%hWQjPjni2ino<&w1
zN)RSad1wx+_#OS?Y@f5tD8rpM+BJj>rt^#ibmHr{Nzx|^rM;}^WKX_D*`Olqcjs?6
zQQE{)jX*QgjexeA@@{@SqzK2RZh4vcZ{t7POP{D`a-i)s;eGtSNHBfILZ^3u4!Nwq
zR_tToMx+<TJtjURI9my#!Hx`QWWeF}?0#M}<?9t7x2gaRLZ#!??TqN2x547rCqBfw
zth)c%bp_BmuFk&{!Hh&6MhQ9i2%s8e-U1O&0PbfBhazoQk)dQzj4??FiQWFH)w(1P
zcA@Q0Irk8deu*7<l}8x$mkP(+s+0g>K%Tz`X`6zZcmHt@fv@jR6=?^Gr8rEbWy*t9
zP^a*JJzOYn4YwIMC59}=*SA%o<-sSiH;T@P7v0OaynKFC0y(z`5zhScNQ+Lc<<TNO
zq-Z?w{+*39dgXpeZuF)+_^~yPS?LR)n5QSCGOJ`zuz%_Om+k+&lY2%pa8eL`rM)t`
z;wXng%?y4NQxyOwr3oa|5s~azb?X#^0y<<$w{`rV=Vq4?UPRZ6pjyRScZn?|q%)s%
z*VLZ`Sq2@=e`ZC|@(us+gXLsoRqxV&#6=PAmzx$B?v_AlSNH$Pd!>v<a(El=#*pE1
zm1gm;S}Ejxv<t@SRnc(w5L3X65;#n*uj%cSK~49%o0o>v(d>^Fmyl;F&^yn(dniv9
zm0#0K`W;I_zY_>!v^q5qUmY<i6qZN*LT_ydX;hTO@!&gIk^&oLoHd)b6%cb}=U?$8
zP1GM#U-vDA3VYN!7q?Uu(QF|{=7zr(QhnUlmY}8u7s6kDmi$0QZ!*DuLY0Ox_=d&P
z7__0NIM#@0rHoFgS7gyw(hyztiY~^w6X<%}%m!;zP?}li+z_WWy3LfK>`v1Iny)zf
zmaH1OZ+nZn!mo|)(uQ5HL>oYV=_$JkH+2+xdF14~8XB5WV4rdOZUoO7V$Uug&_LS5
z1ouD@8j4hDQZo?*An!To#==EGdEI+#(|NQI=l87SCmP0(YD_d3HK(91${25VF%^Ap
z%@3t&nn0vNTw|BxKaOEteCM*MfpjD@iAVWNVaL^0Lk}7SC7trgiXf>Xrc1Vr=%Xq4
zBuW{|e9=I|b{}pkF_6)T+|Sk}yUl=oqRleATOIZD^dED@<<Km@N+D~O8NA88J98mh
z4NdyJCYA_GA<A=cn#^-EVEO&2doQml6121oz91!xCa;`Va?CdaPK!%rha8mAC(6Ap
zfyX>ZS%ybT-p34*lj)9{`;t+mDO=DL#DMH?adO&nnZeD}@Q~`GBviD|!*0BC3co-t
zdRw1s3UR~JInNyB(P^1Gg)(~^Ff?u-%p-0JG^YRuPg7ast>@e0H#m!xAAh5L_lgOC
zh<o);BWYAPtzgr2VG~o8eC=MtU;<5D<-azsildCjw4PFVMo?;!|8XYR7`%#!uYUB1
zpi7grpLaO3KrY=hYvM2f<+|a%EKea+w3_%;B#8|&JRIeJy91yrf+lC>_>tysc3RIo
z0rW=wG)b>8=$}a4(_+t!F1_$>BG#~jXhiLn&D&jY-l{=NyN3-)ln}G5B{`tf;5i=L
zYy=kHFAJ=VGNO%<hZPMZ4zP<Pbvcb10!{l#(x=~B__Fbfznm-Vz=r$oKg4SYbCp`7
z{T)lV_6xcm??>!lS9xpui-`d=T8@)auxVVmkLN|66+7q_?-Ck{{>PajXAZl&4B(mH
zH&s525g^@y{zP|;9#H&B`9(FGaliWz_8^l0E>vRpCa)eO#_knnF{;GA9K6@~)Sdvm
zfp*13$8^EAJ@&tnte=>18}Ch$JOOlm=UTZ|?F1iJvHSxvLl`NKSo>9o0Bc^HAy?#f
zLVEODm5ap_*cYlzs}`96R~Y9xmQr*eaO=RIrutco+xNQNoI3&LtxwYHt!aaN;fLd&
z<`%G*79zUr6$IFAC6gi<pbgUUa=%{=En|v2Q-SOT>|lE2Sa|pd4J?DXP8}^?!{X2T
ztr`unLu<c8tGW*jj5eId-#Bk#@_#<x`0|DW#_3U+@?R|&{PiX6>DV?lGY}&4yPOk7
zUnCcu2-boL-{AD;dh~Ga47u>ZZ!Vax8{9unuLTz~KI3xH4Dj7@$u4Lo4}6b_4eQR*
z1X_?3x>CmoJLp5&Jr482@s@HY6AeuWn@U>~6J`cuv0eUBdVFwL5es$xLWPQH^DmEs
zS)hk2o^DK)AEF2jA02|JaCL&rvCzi~1UEutgT4R|TdC9MC8<zQHLRQNK>!DCQNe+u
zg7EV5JO#c|fKK<^v8hFNc*My_4tOjCzj`rGh9n9!yid^zF60Df>sR$JIEA5Cx_+;%
z6$RuxMt}H*a6<(9n~1e^5wNPecLDMJ^V|#lt+7;I7+34AzeE*<dlRLzYIPb=f8YFI
zg+3n~)DJ=Ni(>F2TBqD8QUk<~7GxZD;fKQ4%wv<?5}-85xjt^80l5nuoMVXs5Vk2E
zdTvMx;@NGAwNx~Kp}tw<%~wHCh~(bTCdfc!1cmu6Sp$-Z850Bw5iXZCzA>iC!dQal
z{9#iKaI;^|n0hD-0y<CDT>a!A&|PK3DOv-jdn9^w^mf1x*5@}u%jDrn?WqijUm74X
z*(T&MC<?O+r;aSJlVJHo><L7r0F%V);*iJU;4-GEaV$U)a=-EYd7n%HC1o<l@+C>g
z+vsmN*+qs8CC2Ql>lD}%&vDNUlLo9eY9eEgG7Loha5G7u!o<~swV%ypfFvDUCRU*W
zf}1xMo~mlXd%fT{pPgl4iB@`cR#FWL82%(3pV5Tmy1}p7r{sX$mzg2{pU=;f^Qm5K
z)q<s)C$(rv^6-mYr~Ug=4QPA$pHWsD4X%lr3F{UrKu(eM?N$#8JWEW)$LF*m@fp!{
z6ej_@mk;{cLV=*08k^nfJE2-}GF$$eA}D>eDOHlD!n<kTBK>$>py}p+AhwgCt}~<L
z@*XNgKJ>OQn9_sXEn13mwGzZ+^c@SaqJp;Y)b#^C2H<+SCSM{;87RhCuf0X6V0!h@
z-oQaan8{<Z&o@^AM`z--yq6R>vS;t?-^070Rk*V5@Mje$To%8XE<u5DtBwx4W(>l-
zqssG1s&F}s^SVQkI#87Po*cgn@WZr9rPW3imY7=|*pMpdrLHYsQ8WhnV5!Y{LsiJv
zXXEfsR{q!1)}(^R#z5C;+Vpc#1++WUmCD4(@VNT89FgAyF84|_JB6u0ot2?~b)o{y
zr*LhQA2xxrIYa}EdS#H78lR6Ikp<HeeXgbHCLlYqPj`D*3EssgEeY95L;Q*4(Db_|
zFs-4@|NR#kN-jrn&18!Kv+q6@{#+9%zjMF!`-^{^X!)%D^j{)ev~W)Q8)X8*?;CBa
zPLZJVNs&X_1AcHYJ#Ki^+5`>_4Ub0?72tmW0096043~F2)qNDl?Ui+HlFh|+x!1MV
z?^sbXD?|~Jl93To8A(Nhgu<f`B@Ky4;rA^hBO_Fbh=h>6*W=&wI)9zlIiL4=+te|y
z^_6nLjnkEfdDu+gf;oqHRhcZLGjz}%?_`Djw5WlY3S)>;Jky+JD+AOJ?z0_n^zhV)
zHIL_rG4vBZI=W3t!N;M)`dalXm`jV;)6zA7KhdT0a|)7RvpHpR!Fm=8%fEMVCJi8D
zJuxBYx;RKrll?14N3oK=J%-(60F}<e8rgheaIre~Y9nC)yGpQrJDq^R!R+b0f7QZ}
zZF*@|_E;xYm5V(QuQUSlc{-TAB?!d#FU4Qv)noD9^N&XV8bU;Vh+%p%KbVjB^NRGA
zW2IXgx8tM?;pXt%Z0Z{V6#BH+W!-s#-4$M2Dt0k|%WPW~#XP(a_|Kr?Yxxt5U-rVm
z{tSI^-K%}~!!9n+`QzBCFZ&9U-qk*6`BM+d9LsL&`E$T$#t{W(=6BeEJ&XBkL_P46
zO=PQQX9Lj~wd)P{8?imb>(&!ty5PO^ap3PiW_bO%rPpz?1CuLayRg-y11vTF*^LM@
z!PckNu$F?aSZ8`O7eP)3f_E~h_C_;6*DW29Z|!{;p{jV-N~|^%Gx%*TNz+5mA%@?9
zii4O>m&Ku^-&zp!@S3{9+!j`TEB9>W)nV-Bp`SaRS!scE9(QCS(<UZndGpr@!x&ca
zL&QO~LKAdkW8aMhu44l~&J?!Xp1^Jpcf6TZ(1b~gYd_zU*RX7<*0{i3(^$-(*(-gS
z8jzAf{O6#(iV^DL7YEm8FqdJ!hHgF$kZV;4$hy3O1(83+t&PoL#VrK$4>xI$-<a{A
zm(U7!_>6<6#>fJu{V+8yo0|suTJKJ34K8C#J8G^MEiGZfkEoT_DeB-+8O-DMXBp!-
zw0416aut)1pY3ZARR`h4yX2peE7)Zpg4uD8b<CJ{qg|kY3hNgVCH$|iV2TGMS6yp2
zF}r$^bXg55@JADP{FPU+%+G$u|K-y`mlNyjwGR|<7fLc4US7o>c<yzV-k^sSt1q?r
zM<@_hKl}6C(i-MBaj-((pAmesT?U+{)u1&p((1Ir2DVtED$2FY1gjY}U-yvJ;EB$;
zE9sXvF?Iju(OtPLz|V8=^}%3O*mO93|1l>W?5)0$)qRQ$<j%WF*WzR-5bAW_H%$iv
zuEnHrR}QFpadvD{kPQBwSqFlr=;6$eyrKOWPN<#Rys_tu3cRe&61=~I5jcAPhHF=G
zLltG-#QP@+-j-KcX6|N!ez9i|pUDf|9d2)??MdM1k~t8N#|+w3y-A%}0&wm>_vT%@
zGEB8u3HeI1!azvz;Q}9i=)N(M`Q23+lH~I~iGE-Mob9!%?S=rb_Vv{S%_~7}u<qKP
z+Z+&@Ksw#@N(ho(W$s$dQi9R)zwva}IYIcWcj2?!A`mC2JfLzw2}WYwmcvT9VPM?j
zR$PV{I4=%y2uLb{q5b}}tCxA9OZ@9hX`?vU=hkouZ7ISVn#ee@l>qt|d~&_F^Wd|&
z{UrU8B1GVX-)`#sP`mq>`IB!_kgL>pb|;4t+&p}ecf3phHoXP9IyGhBE6+lyf`Jl*
zecLf~+DQmv&tJ6vR3r;?X-#ZFx0HaEGC6;2rwC|AyZcCL%fsHejL<LK%HUn^_xK;Z
z7)UISw8i%*09((#F1%71!a^=F)$S07AKxwylqM+x*S!9Fp}Qmq*lU)vs3QR*9lwUS
z9hD(+)Wkvgg$jhcjAQUJlY-Ip=e8b16{xMQ+KOURg&T#dN=4_TK|VBI=h`|MT9Z>e
z;~uF&!O=TUUewA!RbX*}c8eMeruU}bYNWt*GsfTRLUO>cDQRwBPl2Ot(YHlMsnAAQ
zkK+%K2Wnf~B%VrzkCZp7Jro*nuidxV->Cp3+s^%*`_w`9*S$|m4>VxxaB|Lfsv=12
zVIThfOC3U+DegF?1w+ejc2QT9K$nrxP<tN@(qHvHC(`Kv=JNLD_hx1I*RwlEBbElo
zoK_uuf9e7`PuckL0tsBc)aHB$rvdd92sgFs11sf+eBi1Ily`B+)hW`T)a5{Wev=_=
z7FanQZ6|}*+7H*IBz5>QbGmh;3Im0U)z_c-tHPe^zJ=V+sGx4|O+D8PP)46oI^U=Y
z4$iyp=v|_KkIzZA<p<lm*!s_)|EDTc(74!B4OHQSyScacQ4=80T)i6#RiWBEj(a~Z
z2_8$xO~kC2z_f*ttpahozgQ>n&I2M0J!fNSIAscd^i+P7A11@NLqo5Hs2uny{0mzt
zGliJNubt+$DlmOvSLMWQDQM;#6wT~51*bN%S6ZwjXfsfMMfMhhfNMluw{}y|qeI#q
zH<h5rvP*$ymjJxDwC~c>$EMKx-)Xy$86t#F3@RjyaKZ=kWslY4rZ70SL%U8-0mR-Y
zMHg={0OJ(z5RuyyMBf>3(1pptmz};DAi995Kd;B;@=d_Ia<AE`XEM-R`tb*2P%kEJ
zQ>~psF@dx<O~UhIQXpmBs#2NXj#u_~E`+`^2EY4P_t71f072*U;Q0A5eEoSYy{fh`
zkQ=H$<KjDE<u1$hj)FP-i%XJQ*lPfugF*h)bRsZl5ftebwTzn=@${JL12A2$nQayp
zgxz8bS)N^McvR9yjgD9hOzRr59liOW_WB)xwAl?@_(j7d-&7-D(B1rSt(ym0LWerK
zc5dNvD;_%P#fISi=5F5y+a2&S^zskO#4X(R;(qq?pADdbN82GlixplR`$lmL+`@_0
z3ra?t`Y?QYvaa+JBRu@OY$QIviR&6SsB5U}!`>HWyCXE{pj1Tgoq^sao)~V@xa_Y7
z0`e2QmoBVgUE}Qc>kn_>nmlyr!X>(J@qp`!md*lZ?$nqk9kh=BaQ~t%x~2m)7Al5S
z3Da2b`M8L!D{J^6=iszND;@9<543z<KZ<pTkM+nuU&W=7mJxlPHvGrmE$Dvo7v`Ay
zrGzrMg5y_wDZ4hc;QG0@RL#0>Z0zJaNv(Y=c+LyM$OLySP+-%0wzj_x`<-MbdZ2w7
zA6$Rbw^pwSG1aX)E}}j-odcV%;)P|LP{c^5LDht#Hjf?H|GdZd%n$6<Jh+TUUJ><P
z&Cvi}tYk5=tpgt^`8liMvW#0PwR%VjYQVs1`wOm9J@~(eO%ZN4mhp8B73s(uG-zon
z>6_3Pz<t9@_3lkA<JTPSHjS{;K+WXv!@#g1eDREYTW#zL9`K9WzBf@FY{&{y@(F+N
zmMe4CkIYu_PU-tTiQMWy!S#p(kz@G&#<N!}bl33jEdwek=~O7N^AkSgJb@?6%wHQk
zx{lLZ{x@kaLj_;+eXkwKQ}}By{+I048~E5M;jHQs3W!fN9zMk|gX?Yl7Jq5Gg*!^z
z@c3j#0T+hLnVF%pIMuv(Z|)5`v>g5L<65~IsAYQuD9z5{yUVYX*xsT?TwP^Gx#Oxp
zwHavdjb6Zm9-KRnS;m0Ac_j7U-M;6+9gKbMGD~=DjcRA~3L~1948O7NO9qXop{N5t
zm+`Tid#_n}GNX&d7X{~EslaJDW*e{9t9a}`HP4J07PKMs*0q971tzS+Zts1yjt9Fa
zN*pR;Lx#oYwvxR_FkJU6e4=L)k3MsT+>ykA4r<vX{`#N{wA32;=V^3k-p}%0P5~#%
zeOYNFOH+pCm6a1`zS5&}t|epm6gR3ok#qlFp%M@)r=N>xG9veiSZ1i?MQI@!&0C5}
z5PIWt^^FoHG?wU;W-7{uPAPqCG$>O9yUnj|OSUYi>y_E;u}pr%l^XD;%1RNOxY{@h
z`PtCw+p{wmCWtPH{L$~2CW2mA;DQVt2l9X-{sazT^r6rzn!A7q)yL<?#Y8#Lz!Q-m
zx-Aj(U~Oubvo8@Ujjq}Rcyc4P7osBWk~<N9PH5hQ2@#rh#%1!H=0(}uO4^12yHMG3
zt6>P02yG#kcgr>tP$~Td!qlWBdf(zH!l6rq;lUk;V$Ar_;$aO6$xa$QI4{|J;0O_L
zo!BnLp91L9*>kTQYGu%)^x*k~JR&4iXdU0m5JGn|a<5;tlS94XVOCLGim=tcUi|E=
z2-2`S;iSDJk6h}4+KV120)evg{>3OUbUFWOci$@_vXGKP%BPgTF{0PQ;;}dyjIde$
zkf4MFDPP|`^;L$&0h<!`RS6VIKfqEEKtk0lDG~OMNpRAqcF$ym6slIw3`}+-qjKk4
zE~iz=5L5TN1(;+|ZiFt|qMaJboP61$N3RBg+)JGNM`cmTr-CDq*%ZVQd9PM1l>*;0
z*!j<XltT%rj`W^asECf=gvGdv3fA@og08v>sC_ZrqUVS@>URw@I%h%y1@Bmneb0y}
z?*7J%iZBgL=GCdi|I~mJ)U3>aT}o&vW1W~)NJB|Fo?YDqT3~b5gg+=&8Qs|0Q~i@g
z109-lndG^x1A9^qY!<bV5J!^le{@6*WD(dHbvs)R-f%FP9N$nuIu;kXeYa>RI8ln*
zq0#`fs4@I5TV&+>nr>PufrhTQQtz^THG&2LZI@G%Dq6Rq)-b$NM|*{LygDBYK%Wur
zE_Of-CEvZa_P&scl3B8^3Z5_qdEMt$)KoQ;FlzAL&w_#~FUlIQo0`Dxe_0{zm()<D
zmhnDc2QrEmWk0O7W&*6C9Db3qYN(e{@}O9?5|Ze>nHHI73aYk;-#Z7Xq6F*w-dzjw
z=!;ZZjoqXvB&vS{%@8sQt{l)1mXSeD>jtKLvSyI(&Tr38RY6fQ+5Cq;i=&7Mi>VH>
z8JtP@OgQ&S8M!@rd9$!n5T%@bOa4hPgViX)%~Vb$RJfVK^6?)xQV4P<?bzluN4xl5
zEmI;2*l5s+sbECEa#lPiE|@|=55o-0ae1_2P%d~(Z+@Fo4n<P@rVym{1OFH!i&VB`
zz8~If$E6P1G&f|LfKuw?sh(_U^pN3s|97Wf*qNn-6lF0JC|df+_T`!+I`$*wscG9R
z=G-e8pOR(_k#_=@KW^<rtmpwDH+B`PA`aME@EXJ8Tgvr=xgyAZp?^w_mkv7hu=54i
z0X&nLZ|^=Uh=PaHyR#V?z~+#1y$L74+0GA#_9pTn>7w$#s=FDX>(S{kvJ?jCXaCdg
ze8#h#o5$QeHyJ@qztv+m)d)l@T(g5}I1p3j!)0X61YS#pMT+|j!A)UmInR^@eaib3
z_uh^PuKGXit3GW2N3V*~ymc7R{#sHyza$gLW!K$$d`};$rz;)yschh$pYF(WwlIQ1
zM&F5(-FhH@sW~{KXb}(k>d>t1!w3bbovfz>^k8bW`-aVrX*``b;nJUV2CzKEaZ}7y
z7i`@5Ua-54;PhK&A4}62z^TYBY`jnh`fOrHoQ!*M>N7KaMgs;2ydV&DWJ4QbzB`4D
zWi;SbX_7kvXX&Ar1?$;#(uUsm$0ToRJi=)E!b^xX^gwHgf9m&I3)<<q+580Cv57)*
zwRzsQmmPJFagfjgzJT{Lg3CX!s^64$?p%6kc$z>unV<>mr1`4b9z)n6+fGBZDtg!&
z;!HTRq5<QHKmQc&AH|}_1>TR%(}TC*6E%wf4UnH~{#-LUf&E~Nd26(f0SqNcRuv;O
z`1sZ=0A)^N=aSE9aMm)wfK<TaN8U6z_}nul^5HDDbZBvy=)wp%-83V^s5%HRWW_k-
z%wslY4mzQHOt6&k;c7*II$YSK_x4U+#EOGo%FIkKfoh!P1GGYgU!R3kv8ZM2`di(C
z#=qOh5Ie@WD}f4(T=a`Gr&qCr@Z1PDE>_THuNv$WrvlQ*$x_+&ajmE)em0J5aI(wi
z%6u6G79{na*hOz*&Zj$D&o{8cZ~s8%JN6XNb9#HPc0V0Buw?KFdF_Bu4gR<{!)ow7
zdS=hxFnZ`t9_&mZaRFVRP4FmH4a$g-Qi4wzAk<GwsZy2)Hmz?dldh`5QC`<B{Y6H&
z()WqO<`FN{i`MMoA0vaoe-XBaotfc{#B=wSuLQ6t>~eNENQMd0lku2t7MP#i2vn5k
zhqkQlcke!_z$ZebNBwCwSQYl@vb!Y!&XxCxKKoVRdK{gK3z-9y;;0-}5<-ywy<YA7
z2nhzFf$=goC*+F@6)Lp~L#n$sG3*)%V#J<p<qLDefuzG9HuFS*OzJG=HYNd^MV}|1
z0xu|MZ6-C|+X+FMo+{QHBzWJf9#!K+fU@rF$|JSApx3<ab@G@p$i>LtxRu8T6<HA_
z((F<|CGIfG{G|*$x>gheHUVI|h<bMKmIkpugR1EZ%1|zqW#^nI2q$E?DEl*H;K{+u
z;c`kOP;(v;b5<6HDbD>eEDUl`?RAUWEoQs!pIaO_CISI>bgN>c<$;~yn@9H+3B<1M
zx*PFP3|t1|r^I-PaKNzXLef(eNMQ4lXl)P&zLPaHnG!|FdFSFWdyNcqkG^zEk4S*_
z-b?8PZpy$>B;lC<Koy)n<g(<aNCDs2y8%^x75M8u9_+ND2GbJ5Hk-IKsB20+yx2g7
zfy6_+M%!MgzvuPW_7xeh{P$wPCs+*>-DhV1R#M@Qs{OYMhH`NK;Ov<3wtq1l_9+Q(
zSBG=Dr1|hG^5Cg+^&ZKH3R0KC|CMuTfVrS`hr+gRhW=1_s?$#eHMcZF`5;a3;36OT
zBBluM?tP)nyQxFm+^^Q?Wi8-Hd7@b1qy&7G>`AF*>fnF4>Y~Se9VjXv)?A8JhWuAT
z?{0lnhu!7t+{<oykUlxWypp^<CpX5-<47HDMRv6RAsfI+vpnBt=TyM^65DJ4lj?Af
zM`OP~oe}J?3i0I8CBqJTIFGkcp(H-Va_}Pt?O~*pw}=cE0(Z}h&rx7BF0<OS3SfLu
zax`s+D$MlS_O+F%L5}RM=mRmvP-oUPb5cMRT&1L9g@nmK`#aq@t7HPwH(MP7zmef*
z?_8~ff->}u{N%1EH39dlR}8Y9$dJ=pcZ#y904F)Jtr^6&`I0ZLTa&5+y=_8O-PN)X
zMH(~N?P?0jM4<sJjRe6~!aMonq+of}{RBsZDHt0Trqv%+hMRGo4mBNOK=Lbedl763
zeQL*ONpwmuksD_k&LIe0jb~1<+M2@C84tFmC?f2{Qg7YN;ep=BS6&|ora*pA5gZzp
zhll-byZ8FDz@$g`eI{fAb?U?6lb9T+%(=dr6WqXLZK8SW-Av$($5Vf$bQw5fwL*UK
zZ3?S7JALy0tTBX<&Z(44OF_QoM0w<&E-ZF(XFy`KF|<1=Mx{NK0JFVEeFfVa@dL~K
zVRdZA&?YGNru6PkXmYlSRr4CcRfLRFI+Fo1CWyrDXWRRqt-o_~bOJy2&fY&w6yT1X
zym97?AoN`2FtTr)!RZx(T8k|)a7n+R6yd`UwP~-51GfD@l+*m^n3oZR9IMyhCJ^9X
z!-=^m(gOZTfnxM6-Vi<(rgkm&a>4hHN7o+~E#UW>i<wuS8$gR>%q!mwc6h>LP&Ame
zfKTP?e?Q%?50n4GhLWOLKuOl}+DrKbd|u5rOGa29@-FKD=Eew?R?nitedh69`W9a8
z2larRb)i4>HXZOAJfF{soWoW3SO*cabb&=;`P4z`IyU;*M9(E;7N2Lm+1&C+2Ws`2
z>x^2Luy1ewq{Mj4;Qi+`JC5n-Kpx|HFR|%4EX>T&NXdR0j}DdYxRay}$Krc-JlghC
zVU-<4@6-R`|1rD83ruJML(fC|{o>=8VoF0!#Ip&UQ2RmVmbDiAu-RBv85+hYO*Slr
zQ-5*ZU%#W9OEn?<dy}!F{VyzGE~4d>*BE}=#joV5geFu~t24|#_>P_5-EcOFa}*a0
ze03!Ch6c<=*Yr<5=)}%G(0biD@dsy6y*`W6X#k$^ng8}y6XtYyc0!2x58l(A{_R&d
z4LYn9u8ylAtZC1g%X|li@!6+3WnHuC5H&B>GZtNhWo_t%G4}q(LyV=X!h+Nx=IiH=
zhqP|uaWAy!dhh<mKQdG(KAxk(C6mADlDwsOL}PMAMB;CJ^6L32+p|;<@w53N7>@AQ
z!4@h_#lP|H>>e*W1}dEB^%*tk{(zSp)jhw!I*bP^500hWq<}|@asPj{EqK_5#&iFa
zVO+a15~q`(z_m+^!_#UV_;(d@1gq^IydtD5pWS2ozE@~`F@v4BWwKQ#o6!iam>oVO
zbX^tXJm$me;=kY>RPO}MqocUcUAicyYBJoH5PQfa--GWTqg3>ikKxVL6ZS9WRDi(T
z(D1wI2ab%0f}N)0_-AbH*Q%Nd6gxc-Fo^w$yAcasWw1};1W)OZh9DB8Q@l$*6%OD5
z>cmFN9aFgS7dylC*UF%g#w%AKGl)CHn@#V3IE|COZWUi-R)$15=kd2Mhj7Ve+EuZ!
z8JtGV|75Y9o1Y)IhrBp4jE70&%igt{!;>Xbatxj;!tM9YzIuuyxYR%jXIK9`el-5k
zCr1uN=*qhI!a#To&n#;YGs|4WhmI)hy>*HRYk9|bzp9Pn>^H5yb;T{?ZNVw}lN|~$
zYo0kA9zKa@={)&wHfI%Ytlhy8VyFNVUWtjxxhXul`AGil#dRDfB^A@2%Yy}H8m0Q+
z4E{yaRmwDR3lE9wu-hvq50=5)twEn>@x>a4bRjA|DvOj<`*~juj-^CO)P>CB4+*37
zY3~_OT<T9|d1*P2P%)0JG+e~LZLNl#yugIa7uo-M7s>)x`SF4Zjb%K#zD)ypv!LYA
z!ync)WnnG<tYFfSRov)%sU0nb4TW9&bla^-2I?Xmmg1||@q?AW{<d^*pp3et5Q*b5
zQ0he2<>|78i$!gYavtSE2dAsM=h$VSlescke-}M^aBP?>OoSJC)^PuPS1t`3*K%$h
zc*%eWUH!WQ3JA#iGH#gTFAa2^Z%vI(Ga-KFXHA|i{K$wizGhfW8cxT(4&roWK^51!
zey{5ZBEt=<Dvd2E5a1{dR0wB7Awz{EJ}Y6A|K;Jwggz-KSPj<R-N=DzeHAp)Zi=FF
z=Mo<6`y>TEqm<bYM=sR)(^4slT^vn!IaGOdNP*?6K7&mHFS>Vo>2e`1fnJt>Y2Py`
z1>D>a`XY;fSPuVZV*gzV-90_gDK9S#?WztQ5?1_3P_c5O?2HTwbHmDpE=WUM;#w<@
ztRP}Jx_^L;CWl;|<m>lsNW&q40)3K#Fq+V;T*>ECK$R<egk424kX$t<(C#RTN;?Wl
z2l*Az9i8$7!gX0ty3ad3RK626^{3u?tD%gXe*F>}dm;yU7Xz7+EhG?|ALmtvAQhD8
zlPO}yuK)oxpcZyX3Na7tYCch`iZWfU$UkWz!dO7+#pZQsL_DE?`ByRp5u3zVN(Yr7
zE_gb6=QUY`UGTN3$Ej%g-<7EjcNOrbz7-2skw+yFa%ug;>d5TGSv7TQHON)|GJUjH
z0X1b9eDzzVA-?90)0NItc*knXc_~#96_IS&eg0~o&Hnc$u@*G=Tb6Y<VxKa4T;<=;
z@l+E%TvnSD-Tqt3kA?a?Tp=NYJJMeR)U*(B;*w}in>Ji;N=tE0BBLXU+$W|zw9v0X
zCd|@V542O(IEA)Uk)ZDB&>~GOw7Dk4HN0v75zhM3kHje`t19Mw-hEA^lJmJlC=Y`>
zJm=C??@*AjUx8#<rUp72eSo4SW(?|fbf3pZDCmOo$}0yY8WPbdkruQv0qysnG&k6&
zDC=Ky%xOm|s?xsn*wN7x+AUbiVizeW-8#-o+gBCQ#5H>_Q_O&Y`+|d5F$D!LmSqQR
z`?zUAe@IS;8T34ewUpPOpsRAvO?3w35Px{+n*~jCcp&h%Y!AO0DnHaFr^6|Q_`U4P
zecjB#A@E)5(^F(5WnLY0YD@?{Y@~L~*_wlDwydOhED0Ta&g{3Jl?w^JW44IrGY7k;
z<6<+%l+d>_7j5?7b-W;^)vKo146NH6i)$2#$oZ|z!(Yvfc(Glp={>3$$kW{;i}cAM
z_tgl;w>M`nnWMS3=W<P9*^V81o-Bj33gnk@UV1p?peO3gY6_#7jE@^_rO?ZQY(<w)
zR<Ja<d?xjz3DkU!UQo9bM;Vt5Nfk6sNGTyPj<y(s%*6-FaY`a6Os<&bk;(&~EVOE`
zYZya-kG-FwwE+4sD7`s3!3&%=5v&*U09bY3r+#?Ni*z4Fm#pLvU}8?-O}8*WYTFRz
z+sA>9q>E$+(({2A*A3$iB@9$9A8$L_$AtLasInZA=L6dMZ`_t<1ZK3={K=k8yaPV2
zwMg>8c>RTi5GzBNlM{Ye%)Wr{jQ@JZijEJ^+q=D3kOBNF_58XVFp4{lZ%nCo5`d6;
z=g8d$`fz8!p)W$W1Lrlp&1#TG0Iia02d`gx@TbWwg@k>;^mAA2r$Px}oz43!LrD*e
z?$7M+GabZ|=Z?ql*b{*DxUY`=IbB%H(%3Y7I*FA~+*23y2r&1$pcZxOKzr=<ee$bw
z*cs|x)_zR_ynmtg4z~XjLTXWCao#evC+pIHsu=+kpRV@p$<u~v4p%yZp>?b-%ar`U
zhXDTr0096043~L0lwBBy3E8)??_)QXF~%6X_h+k=R7ynBB9)M$Qu#_ni%L-`%GM@J
zD#@12n^Y93kUb<RTS$u~zWMiD=Q`JOo#&kAzJH4kUb(zS#uBz#M_T8Cco6J+X-7<!
zG}_WOgom7ABjNp@y+hUu5an^)t7t+R%X%()^NO&s?wi~O`UD>?D>F`x`%#efM$<w1
zyajX`*{dg#1>nJa-df#7fmf!w!v$pvq(1PNe?u2U+)mq!+fg#mG0d}!%V)vubB^~5
zju84(#J2OA$ii+>=D3h63rP++)jL**K=sPucg{1iAmX<?cKu?G#QgTfA3lrX2VchL
z_C7i2iLw3m$D8Bl=d`&8hs9A^l1*3*$iwc|WZ96VIc_!v9PrbZL~im2hXw&fnBR`x
z$v47;L-e-N9pO@VdaXrB3QG7;G|<G%W#SUAV{wqTG_3nHuLmS6BW>%@2EK46oHs2#
z;JcK9_7?B6V#2BjFkSvqmS7@llkd>Sr7~FY*u@4{)iCu@C`etA35&spYHq%=xG}WB
zY}i=?>-|L5jLn$gh>rjE-v{InE%D#owm2$k9UIjmhs^M3{_D;^x$+2!j$m)wuZiEE
z>ihBs%wV=ks)RABfXce}vcLCg!NM*)rg+>8-jAo6mbfTEOkk(Li5P8kGG*307h$40
zx$MHVd&-z*?TE>}tb>;``BsW7CQAQAFE=z)h4Jbkt;k2Z(44;^x^Nd0o%SQUPnW6T
zj`^7Ax)wcbPw_PBsbHdK)==S%uLdGFtP4?_(?@XBdg6z=IW~9=mYJWRBJ9C7dZjiE
zNxyju0+PA+94qldI!F_|6;fUsoelBXLVk&n4h#NomUTxj(}MJm#Q&Cf8{zHTd%n3E
z7EFG=FFeB1MuqV6oKHT+i1<=Pm5;N4z*C9)x$4}yoyMoDV1g_B+I3VPHmnpqIO2l3
zu({bS_IDv2E1s3Fk#n?!x5jbOYETy(v(<fiH|e;%>n4@rV1@DJ%aWX{_23y`bbe0E
z6s0^o&j@#G__`7e-52yBAMh%pz|ItZCmMEhw%K4=>b5I;ml@!4R3dG^ktw_fFP7z=
zv4zl~h(F7I7~rC*y`W1I9fM@6H?7bP>=7lCiv2W5TdTD?v*`G9t?zeclRZ+s>Ow<%
zXmBw!^4qq|1iRLA#OH?`@NeT@>SbL+7_<yuC{i`XOf6%j(l~*pXURNl7ehF&*jDIQ
zU<i%xi&rFs0iT{va=dK}vDU=?$1!0VDDC>I=9_>Id~z=tf`%xQD{-!|)`ys}q52-0
zBg{5vytd1uq1t=-<yd!JOth{pu?%*^Nl^<mdjlFW0>wV}uh7P;-yLiACOcvvXs4Cd
zQ3KqNJi_~Ll_oya{o15g;D`vml9`?|eJrwV)hOerBbiA{6fJbbk-6)8thn!kuQo}n
zT37|`HYd~LZ#v?TseM$~CtXlC3vS(WNdZmWW!AB=ju;)#ULew}1DBR%>xocV6!ToN
z*7J4*X<0@jlG<3e?geVDOJmei{t-vb5jAiA1+2WIg^SRC<n18=^<$4ruC)U`ug4^f
z&uBu2mpSgEB!Zixr$T$r1Ghuk=VBtLh!3ocAG)*<rxPxw#1X*n%@$jzFV&I9s7Ux&
z%!lh2YP};r5=eUZ^wvn3Dr$~pJpH(v7g8CXhuRGY1osy31iVtl<xR##Uqk1KtOwW2
zFGV?^SxLRpVnPvZm!lUNj?5CuFOQkUys`(qxzAtOUI8}-eSVZU%@F0Gnhuf*_DIR>
z9DJH1htv1M`6E|N6D@L%+kLm&;qOyH-8m~+tQ%Agc`!Fc9Pda{Gpn$L10RQ1WQc-N
ztNNf@%xPj9wL_IAV~aN4um`amX($}d@Xu<UCU#$#p2!QeLFn-}W49kmf!DuSLa}>>
z=m=Q6YC)YfgnlMS7F?BtS$A1cwB<iy%h21!{&Z_34#f*x<(ELl%q@!i$2lVWvv6|P
zB`bu!@Qz{Ti@{Lgyi<=456+4?_@vBR;@)-r*YRgX;TzU4(7cHk?ILOZnPHX?BQ3=r
z+z`Ra7e=OMk1xRf1slWXd)e3}T3YdXNEov3ViM0(@WH?|`F+(oHr}N)y`ygx#(Qnv
zc|9=!M2a*}|2A77eP43Y4l!X|`!3VHanC|*sQlG+f2{>V-WBC8>lT6?PmO5f4?$et
zla@Qz!NNDscKNXmA&8r%JV}WY#$GS&?Q>gM*r!l;ndA}1_@nn4juxVDyMNKGVbUCj
z<^BmoxeMdUthfJT9&vm~RUNu|${dq5v8vjY!cY}a3S|vSKy0Qf`i!PIV#XV)HM~UN
zcJFEd^`I28PBx47a+uHv5C~L}7KOXfka67wY5Zum9{;q3iF=#H^rR+4v7y&@M`Aez
zvWrfHwTLsJ>gc-F@vj(ut}8hF>#q!`<$DhrRhr=$LzZT#BY``r|3*(Nm&4qrPo(=^
zGi0-bZj|nmL@IObp5`)ntbZNZ#4$I+#wh*r%~4XAyQL<$olr#lbm%$tX$JninXi87
zCXE_H&D;mwN@y^SjaRN^puC@X(wsqo==i+wziTSkry^c;B#VK4QGdiX8OuO!RqOsO
zd({wM60*=TmI3QOij`u7EMBZsbIS|SKybF=>Lq&^xVL|7=Ert9aCnGeg=bWdx|G|U
zAq=eET$EhI<q^x=qu^7!COZ1|iV%AlU}f<<_{y({982~-b3ScE8W=`(o@GEl?0Q<?
zekB-Ev$74Xbx<X;u+i}`_xv@2K`;1Jz<j5;Zt)>qG${K;DvU93O*lAi>0MRCPVbaj
z|4I+?=dzb65oVy7ooOr!R7b~-fsH$q4e+g8GF{}B88Z4Dy?Rxsc)?0#MTgUnHn(Ec
zEh-aIBPt{LlA5S*jy|7IZHNyWYf7VwnUMa?yLhRX7TQitw1i0+BYNKs%C{hML~3k^
ze<rC7_t65eNA4z|EiGODp2>nZMaAZ%f(|U*S6r(Mr$c!vT;MF%TQojR28K~}VgKss
z?$3Knk#kX-nW@IclIpcJnR<GNrry}ULWh9|!&%aoZ7ea;>(Y~<tB)jF^vsC}2A0=K
zWLAb*!F->Wu&1H{h{Ki(D!6^x9k<?9zStUjGCdR3rwnlXq-2RuF1LRda;@}5ZNd8}
zEmygU2CJnZ7lKc5_bVojDQvSt(4cS9;!r~@`DGTzvSA>|voNgnnLV73m-Tf|8lvze
zFYj2iDfFj<w;!MoxY8);et)$Q3{J;3XB*Qocj>lTvpz7PdrdJk&In!&iqhus#`qdk
zA!=9(Sl0(hN}V)9h~CGw`!Wq-|0c15%67!fxLRLnF2D18|7!6bHh_0u6#s^FN3432
z5pnsKA>tI?*NU_BaP@GxT-+#^BlJ(Bk%5MgeLZV!)vS#(Hg|g0>pJ1yhlx$v*)-f~
zYA98V)Pzi!yGDzX6HbUeUAe!?07+N=1P?f?!>eY+_Nm2AcyeFB-nT*@A4hlSdv++{
zo679qJ+>3rjd|(8*YvQ2H@{)_g&eg1$=->Tc0$nD6`#}~U1WJ}-<T>(fuOw3nq3`^
zm@qg>H0tQ!*Nz|`)(vqSyO=~jdc_f0;wdwCJGCJBX{Tb!oFG0Y_M4V1afI%txZA3i
zG$CuhI=$AG>$(2oo7=~MUD_pC5i6-Uqj7x4)$}<+C@G=O^D=Nyv-PE;u{xekj~`m(
z`Ik6UGGxH80Q`zemqx!=!J+c4FZ*`>B(}VqJZXD}zz#3LRPAIX{P!@(N#pnr;?4e1
z?Uo(~=uT}NwLPqWh4fNU4bMU1w5P{2hN=T1e^tB>J}U=Vuh7VXpI-^vJ)0b#uCqsb
zLz=CAl?+TOBsecs`-w|OqRC^ac5qKUcwtC`0*=P*=c4gnh~b0TZyDXTV3Y-}3%V@@
zD)E37&(lvB<yGIdFtEjNWV_jln-ahx>+qK4Ux{0d?2d-LHe3Mjn@w6Ih7P6W7hf#?
zMo5hvO;D||MxMtoN8d~YUu?tqo8Al(gQ154wKS|Db>rM~R)7$QI)mp2D@TaWL%*uq
z4q72oI%GVzjyw0A)b-8d#)$1aCY{U<O9(w%9~`<@0839TJKwfqg78^4!|k#q?!P;m
zv)hXwsk!yGDb|z3rp9-J2XffBbms4>*6n<FaM9JW+u=7+>t3izC~()GO>yS)7T}HU
zgw{L%zeHluWzze!1@@>91t+R3!0AzOeSzd@;%X$n-Q#%{Ty|{`J5$694V$bK&u_Ct
zx#Q1F_k%3Fj?Ula63L7DJ+oh~teq!Vhj*zfOqt`3cx3n<A6~@gS5Lng=fPct1%Z@k
zb1arF-eVBJi<j(#yCH51aQ`+<*pbg1o@4i_TTbxe`9{BpMMZoFuy`bpm%xPO+pgUn
zZ+WrJvC88qO8}b^Z@O$yXM*>doz-L30!;jQwE95(LJaaBTDPmv42O^ZQ#n_*07n_d
z%QqbrLY(#04bw}_AWCg`p1+<CGuaV$lUIu%h@r}-^Nj(@CI3o$b$*<<Z|k~eu^8I?
zpS)F$XCU@?|Fg0=e#mz_q#oTUfu~RDHx$hnxbxn6U|>!FZ({Jqag`J_ey0AeDK`a6
z-sD4@h9EX+IV>$aB@Ibk1)&^uQ=HFc=6u^Mgl>-d^6RY>BqV?NnwdbyM8}!@hqb~u
zr_DH`<SdJvxuSD-Md@f7c}SzI6-81`2z~i$IZQrydjD&(36%Pkc58`<<NA!}E5C3B
zY}@RTSz=}a6L$k&({B<e3V=v}r4pQfjSUxd8RPn8^!gl-f`=q2x>i#Ksw%}7o?bVG
zvm!G`Gg%s!77TrrWT?Tla`TzFaAV9rd(!yo4F$W_eCd+hssZKu-(qLh8>8#^>Cj9S
zS!@YY;1u;xajLWCNAeb92nFtz`*}hROKYTW)@o^i(%{spc*+<hU%l>smry`Gzop)l
zC~aIE4q}?WHAc~vD-RD9DWbG7xnW~3mm7Dp1QytsU~=~-$2C#Pc<a&VR^-R^Wn)P<
zfp;dzmiFCL=&Op$pDC&~{rV8+-Fip*G9A$^0!dDO>QE|7>WDc=L*IkXC9DKfG_#+y
zN7+$fM^68#mN!EG>!m?18yR58*;jV@Xd>n2EKk`ZW26eX&K*!R11sWollf6C9GV?G
zy~d4>0=HYM2Dmv<(mBM}?2$IgYkf}_)|=v9`KKk8qfGckL`#(p>433H<X~JX0}G2%
z!k0;~kikA3{EW-B*XlOCgH~oJ@qXz2ZIuOTy{#pd2k7I;rpHS!mYadHso{ZN2^)30
z;s^cD8=!pEc86>QCS<>=oYJ+mf=<b<QjrHV9PlWu+PZ{^Wf`Rgg)P?TY4!}vF5~7y
zv2M?2u1sXx|JPs<XN%&0ZHq;38KE!E&Q_6|V{eWL?yj)5$FjTnlaoQl__MHhW-`$X
z6Mj!eqrW?#ddsOhC#Q|!v9S11c_#yrE1koiI0Ff{2Pay+O}KqL#KUekMWoA_&4zrA
z2<gA{`N#nil;3}~d|#3YMnW~ImHCdyp6PRuS#N@(cES7YTz*RGCq9y~bwWqKQbFvT
zF&zH(d=yqPz$&@b@+P@X*wL4}-fgonI;Xd-$XC+E#>2s%tN%FRky7DVw=+hFf3s6i
zj-mw(Y2VQhZD-u&v*o{f#1KZ?8!f+Ds>9r^DkYNcjN-JixY<QCY{-aTS)ZziRZho#
zq^mgNG!dw?c~Bo40}2{KcF90w|9YZq)CtyRNuTW^^tfI?DV|If$HAqx9(wss_;@fV
z=I@{m_Fj7t&L1lPR_=6SxQ`RcZ>j(N&sQ7K`~8juI{hOuN?vA;{c%KwUCh>&T1`Zy
zI2_Aw8Ye8P#5@ub9C7w_?cqs+ij=vAH%5$JqO9lR=j$4dIF=>*R5?x!W65=1c@d8Z
zk%8jdZ|?zhDSwUZ^Odn>>iUbt`R_OvGb3xQZGo^l>+@qX3fQ%l7lrG4IIsW9=6#<;
zAo15p$)YGZh<NSIQ0ndH=)Zn*tgFxggC*>R#=0_iST}F=ZtZst$HYj7uhky<>psYY
zEs#e3jYkXWb%!|WGAbU*eD<h3>u;Yzm4LZ{c7uA(5XZjUJ>~+-4ti=9vo_a6pd;m-
z{D3~hd6%y3ek#Nk$>VAFC&C5cneb?$@y~ZoL~d8qM6L~v5?T`d*ZJY&TV(2F^Nlkb
zp*f!U!y1&b;u|NF7QpwQ<iB;AUpa(~Lf9G`Yl!a=lW%x7Pu#Q|8QtB`$H}ZQ7<>_L
zg)a(WW8G~tgnGEuPu+lCPDOp%$NU~k9KUyCxB9NXgztlEuGHEt&d+1LBUQGRD0R2<
zuiX2KSRHX-wx+X{vvPm*nwQtuc-Y$@9sPNNc&~S$uSL9x6FHu9@gNTye=4RXIk{uR
zRi6_MQH^gopDN0m@9wa`J%`lR9j8Z#ohHAqbL<7@wb|wS8Z9jBjY%=i@faj_^v~Y4
zm?-CTjaTIrE@6S5blRZh(g1PlO1;JNqT3w5&$8v#mF5V|eD=_Ec|S1>PwQ2$5{dB>
z>Zunj&B6ELJ1Z`@kC0k-Y$!tD5uyH|e0g#a6T7?`qv*Z8gwtvDD_PMb5yrTdYHYy-
zg;sQI>`o66yyow3X^U6HL}hE5WtkaxlQIw0ZS5wOD64%KdQwmL<^SHD1~XhMoZ9_%
zx{Elcl_bAV`U4^6wehR#8wS2PI!txWcM>bk9hNw3*G!xVC|snxj)9WRj*<MqokYjU
zt`8e_v=W&abpawxrr07a{mh!tNvL-GuxQQfAQs7q_I;V5Bk%FuQPX9e#G*U$LoUOg
z2sOvpi8LA=h5-lX%pP|VNsZc0R}6cJwAG8wOZ%H(NqEsep5QKmM__6)Z{jmCXn&<m
zE!i01Rw>ttgFX>Umo!`oYWzYBOhqf*Y%)S?>C#2{Io$-dKkk}&|CJb0e%gFo(Fmpb
z5}VCadI-Hgi`_eZej{!d$4%YZWQZ-MXO*7E^b%fMby_MMhKRn}Y~j)SG-#w%82F$4
zOz0jcWjrVyA>?Zo?sVg$;q~FO`~9Ex5sYM3r95klXx(wQ;+CHQs(xy)Zpif$I<(>v
zncQ(gv^00gc&R>|+k+OKz4Db%+xB&rq|;BrBHsUkj*33IqSu=6Ec!;!Joopj@cbec
z8@B(oI;IDUBPR}p=nN9!zVxx|Z@&qNs;YGQs4gP&bd2iR!-VR?Y>zWMQv}Cm<2tbb
zU1S(f9xFOJN=WY{Vq})j5F2*U|MWEJVE>;;Z9}flT`ju5L%Qi7kyoffR<F>3z7~7G
z%g{K{vq-w@=W-sX)Ngk0XwU}l&Uecq_WdN<$M(<GHS@x!R<O#;OB;uI+nTl*{vr-P
zvlj}B<AXM(Fkx?x7Df(PourHYA#$o*1f@3#;8W;$$@$${Tz+jB4N#jR{$-tO_6`+9
z;D@OmDPb+R)q1Ne2$~`O<7|vteP0;wGtU?v%hrTtoy?Itga3%LsSnS@8;ikXWKQAy
za!u$wQvX%r!vj@Iw#M9`1S-?T^2BDT;Ayz7m(atD2wNA?<iAoF96mS7TSP^ud|Km)
z3w-E1N$Xp9lL7}vS9;+-Di*&~%D)>Tfc$+sPoIjC#h37OwH#L}m&1Dgo(BZ6@?Ss~
z|9|p$$YGh*YEhvt$l};M5$5t=xBU#)BX%Y}^Ik7SMShP+cc`TpW)A7O653qPiAJEl
zG!+Ns<&U}kl)%}HWj3sOHI!_4*MG!-ioqDSJd<fDaGyiEwjUMh-La8@zEnJU@W#eE
zlLFV4*)>1LG(k|GWF+TN@uec-T5gyu(sx#4S&lZA2kP5D*3^W}Gyl3(+vQ=pamVmL
ztS(-5DtuV;TodN^-?Y6vuZZ-o9jyt+^|4U+X9VS{7Hl|Q4%!STLu1wUyy}}YB-ah3
zU%RUfS9!LXWjMD!e}#!PpN)|2x<K*foDOJl5`uT-sNkD!uz6)o2UWsNr1X{^)Y(m2
zyUu9h6#u}so|O#zWJm5Dzij|Y^$ne1C2iCfJfzc4nqk3a%4UCYBg{$8B-K38K|yur
z`|1)V#(uR2X!V=m_|-kj#=`WVBp#LS)@qL7;i)AzxL&i5Fc%UuF~G=(yv0lh3tMH2
zy!ekY@!fC3c9l^Yu2P;3e12qsk43whcy6=sJNf7I-)tkiEZn5Ka|IhV`5qsqc)7WL
z?It6d2iG5(X;S;r*kG$JZwpJX#@&&M08~J$zYFXSbX*#EdV2008;rCQmppCl&@Cr?
zMT^3K$*Q<n6InJ=C+QQjKOIm!wNR3uTbJX9#v8W`EU=}}XYNP?H)c&BMPP~npUm1z
zv2V;FJGu7b0x53JUEJ4v#lQ@T7d)>%7GT1?^Wt+46K6QNg|DILm|-We->L4sDV87G
z`=LhJ1qr<0)0TZ_V3_B`w3@0BoISn##2Q@i-lA#mNE8EeuGPQYboJ1h5-}#@>I#9%
z^X+~4rdVCkZAdZHMDg4%jl5`AWW7+_ohV61PX1IcZ?z(Hg&*<C9(2Xl$BtEDG-GH+
z{mnf+Ac?Z!Gur&zbMCOd_UMZlf_**Fqs)m1aj_9_8F0byJ@)Watv>QaW+w0Td?YlF
z-#WNtrwghSFL!!J>LO%+)%wW;W1QZTQ8a-LXT%JAJ2jxJjk&xpHNUC6<h_?1TOGm~
ze_J>TpI=i!)9H@g%O^zAL-Rv3(w*?3ud^XTO$|xw)y>%Y;^h6n9Ut$_IpW&z*;`6o
zifC@haB~TkBIVMb&wt;{&HGv&b2Fc0QC#6{XOkmM>b~$ZNUrDR`h3$BH8g3++SZ6$
z@1~F^$3rCt3BbV3ued)(6#DcSQN?ZwNjno$T^30oI`x8}-68?}Tj>$FT~vlVpg4S@
z=70n0e3myV6Z6Ekocn%fMPx{q1$sR03HF$s(_#jT{vtfZJIW~|6f$s2UV-&PJ6P*K
zpyWOsAkuF9?KC4Pq<GErlE7YDWQtpTc|xrxoD}8;mL^b0dH+w_)6{Iy!#v<hbk=hy
z3FhhB0w|<X`K-X}KpUvFJ$rku;0x!=^Rn-G))ex>p<7o+9$UlZLh2QZMPr;o`IQGt
zH7R7gXWlQmlr@_3MW#y9e{noZ^X%r7Dda2VAZFVhD{P-qIK$XC%}J@We#~b;AvNQ&
ztbMyIA>ki1{<>$5^R+<iL)uab$@cMJV}&Jm&K$jXKZ=(uaAJQ`i=~hsqslL_YuNZt
zY4qHq^?c;{w)F@1HFMXy+9-TW*dSK9_r~Z5kgG(+Eqw?XlG2l<d;F~hoL`)Lb);n>
znXg{6bxD;B>F{V@OOBrf0!7?X4n_-+0`aG-9&V5&Yx~no4*y_5ai0x;j*<xJuOoA5
zOjeG3$1^Ug9M6KhxR7i`ktk`F^)c1AUyjs$)LEZn#KK|YleUAN;-pYmuDkO)d2-X+
zKd*N-aXn|};KS*^5+wOTB7e47fn56O%EW_MbI{VJYO}qh$oOKBZ%w}yN&5ARW?gpX
z(3v#R`@@zd7Y{l%N|`H@_5IUJxBp{e@VU=-CoKx8@6xB+7tdv2i$ndVm)u<6Gihk8
zBtu$0m)N#(PL*7}`?yqJ3KLs<>L)j-$&zU*$xC*fQzv&N>8sH9GqJ|Ms$YU3M>>3K
zN^Mu6k_G3l;z9uT-wTHi?)8)>&#$@@Ow3WqHX(lJ@zqS6b@ymK7pFjO$XsvWIigAS
z`D`p);l)Jm{BV}sYelm5glG=yn--aUwT;OMWMYr<ON*0KW%6#2bX5L`HhHM6+G*=?
zCJxvCIxKQpg)EAekdmC$A%(L77e*E`F??~?_pN+t<jRCY!^YBjB%`R}g4Rzato}=K
z8%|Is<36qku`|>sm%O^Fcw><{{^?zIW64p;MRjenFPsfXdT-7-$pUlSNiO8!AEc5}
zo9C}xTt_1xzx=Jd$&iKCh;yA;)taPYRPc^FL55_(?}dIVDp(L}k$t@NrWUESvhb$G
zRwJ@IvwovZpaq1B&c#^AYLm@k|BaV>7?VMJoEM2|vBAIQmcYe89rEe1Tp=k{6H@i|
z=7%!B*cj~m{b#qME?M(_c}Ug^6ViW+Z|+EkCB|b;Sp_QSk*e)`K9)Mu$;%~sR05i;
zAb*ZFmiSqZT*MPjb|=uuVwX?Wt{v7m+kXAmhje|CvA1%mcP5?u6~FoJ*<l;7Us8PE
zE;b;;_;?G`_t43A#@h0>e0HcyxWKQ|W<YlGmr4BNrITBAx9KJ**+T}R3o<-t<k7-s
zjCpqxGF_;_-;CyfHEUceLvPVY&(t7|)-}dt_D#l@(?$fI><<6w*Fqy329`NoR5K#q
zT#}6w76*b7e@Y7X)5yb{B6vj$Xyoj!D=C}y19Jl3gXHRH<V|g@fOJU%^4!xyf7l-Y
zP4}ZeaF#~S-z|T9cex&U{d-r=85KwT4*&rF{}fnvJl6jgwfD~6<FUu%vG;R5i1Ljx
zqCrYgq)-Y`gp!IPNl8<PA{8P&*DOhc6v>v6$ll}U_wW0U_xs-Sy62vA-n9XL^G_?O
z;wuN^qK1<sv|XXGh&Wk7JLUIqLxu{PUB8+kkSveOjQm%fLM%aaOa0I7Q_7eeZMIjZ
zNESKA$#+8HEP?P@ea4`!j4iKTZVsxF!qI)ybNgc~f$f`kez?67Ccfl*$KoiCY-4gy
zqXR7={xjN_yDQ?Zoj*isBt@{q>if)N2TO3NN}BuUMnb#l-Ht!?1(D_*uh}YN3B%4k
z>ADUI=s}klq4j_t8$)&+r3?ZTQKmlZ19_B9tn~G(;X%5pc;8Qt0O$+f6N5T(7|qhc
zAUDo|ZMG}XnY#g?A*a7oRTe+*=(>6SEh{FLOa0r=1yGk9tLDF58o4|dj+T*_(cbIX
zS+fu-wAiGdwLc(<`Ip^0kBc+n`zj%Jqb3Uo=8{~AxGIiWHG&UDljw0fXVKzUc?)o1
zI9ll3DvHsvV$m$8=}>HBOK{m~b9fo}&qmoy1U>gL(J*G6IQwJrn^lt;lwNVG4XP1B
z&UIVS+WIx3Gu7o*5XlT|EdRz#_zNPlBXzgNy*1+6LFrDGv!+ltxkIN;e-oZDdCXQc
zzea>fnEgokX#z*ciu+S#1<;S&P|;nnPK5DMuST1gz_VJ-jBIs&Yy+S396@xrE0dvG
zBGVX*rS=4^y7Hl$SM=>-b$T2r*u5#8*?0pWlkMNkcrmDnwA8@PfC|^u!{maDfZMa)
z`af14obg~tvt?z(`ZqydEj@<d=)GCEl8qagULTdC$uZ%n_S+BNxfnu*s+wGa1s9H|
zo6ss<nNjxm&NRU$1K_cHJEr!86Ri)N>PUUWf@(Tlp<lKbfYs~FJR5UPoY3`@_uyc|
z2jU%DH#O>mxSLT<F+C@KWR_#xn!t{oWkdc8+x3A{ntt!?Ne-l&Fr1PiaiVmB=+wOq
zJ-GbGF2k9V6Z73Qg$3HVFqzHqFWFxY){g}QByHow$j2R*>YnnTS;du%)^%M-koeQN
zxr7s0M^*D~ZsSAdnSW*V>ALV~hrR`2%Z0i7ZhWKd<VWi)rzV=QE{K=L&BU*9p`YrR
zpAP~B@R507#*Ho=XbpcX9NEE*s&aZC7&AAa&|2BYO$j>i8UA#=>EgkKa;7)+-GUf+
z*)3DaOb6t5s;xON@nP|=4@nM&!sxTT<eSwj1?bv%Tzd2Q(Ad4_=5m$@o>O{IJ@c9Z
z^prbl;YavUG>I^i(G<hsXC=Wu&Qf6UbwS4s69Merc06XhNgR0}nReaZPJvsa<b!Wz
zH{q6}ZNWj8B(ZIEuY`;S1;jS#KZ}(VM5U#FeaF0{QJT?dzo`HPxVO%_o!1gVUj2gE
z+zo#8zho&|W~9KiD)~xq6Gnk|(~6uFIZPL&8;W6|z-)Qs7yUF5T==b!!M0f*!&nO5
z3-MB5I4>^j<+v!iFP#z?_f^18?F(;t)hSSr?ydRVLmUSTnd`5nlCZ&?Iby_(0;y~w
zo`C}rNVnNYOsPo`pDG7RXr)nr;Xzc+RJ0WKMD~(wxRmkq)fbO~|4`s?DNFTseHpBH
zsT+~!sDf!+u-(pC2Lw$<Dud3-;_<*@4eb<FRC6@At=ggkfrqtrk^JRQevWZ2=c^h@
zn`r;H-(MH#;&y1u?UP3h-ud@GnKaNnWkF+9QV*OZ{$<*`E1+>(@T=2`n)oMFf1ks!
z9(WX<{k-f<!b4yC?X=ak@Jjxtkl-eL*byn{HtV2>60-X3U0h^LkqHP1YBYdbQ<K{d
z+9=^!r}=<pB;((0Z_oN|@MR^<=4QW+GKv=|WMxWgqv{#c=-uqbpf;iWFi}7S_n5#<
zZ!>LdkMD1!r<uU`dn*IEZWYwn7BiEnuZ>0Q2jshAO`%gK;e+BvpG7Wf3>vK3ILtqB
z4;sy2*XCwz9aS|9(9kOi@g$?zsWaKJ+!pX8-lBw@p@zznPp)s?qlF@M1^P#<sKEBq
zp*nX+4J*}aV~yA}ad2?EuC)$;xQ}w31e-bv?rzMyc~l*f?WsqCUI9>^AJsQlR>KCz
zf|qt1?>n`WMwO5(;hKYtfB>rDLz=j`PJ%L?O86nWEy@x^ws7+O=ca}^&W)qg{fams
z=5pMn&Jwn)tM6f~QN@^tUUQbJ3K&_xU2A5_5~9OR)5}>@k-X!LeA$#N`m<WlyRp+C
zDzoK<qOuBBN_1XGNS8v7fO*g4jdSY5Rp#%i%6Re1J)Y=zF(l8mT?(JI1U;F>^a(*F
zyxJQ&ex_as^YgOo{6Aa5LQNavw{a5IreqqX?-xJ|Y0TrkZ3!26dAdJTDBv|-wJNPz
z9?XB;DJ<`936(a5=Nc}`BRysJbZ06%x<_$7a^|vxhw%$~rcQF0wsY5<pFT5|{A@fb
z@&@2HO;M~zP8Ma=2KphL9_5RYWN&!^WT)+u44IX}s~pTd(mtz1bJlE7J`+IbziSr+
zQ373i=bO#@7l>OLGpF;nQK91Rm$64VV%RM6J+mlwmbmsUJuK;(1#}G0Gkz!%!H8oa
zdsj)*M83p(f%X=2Fql2nHr*qHeY5NJ-1jGmn=;zb!=mPpZut1%IXyufnEA8y<hKdp
z-QGHZaxXIw<MeJAdM1FHpB5FwA5Rc0Wd%)i`KD0m-+yu9KYsi$%NlrRW`dwwt9hoi
zYywGaW<5=OeCS*HgtWI{lBhX6OP}aq0@ke+CzB_*aaC865>Pco-20x{Yxl$$Omp^1
zR5Nm+PkPmelf(>RagsE1g25Pixhn16yK&%3dPnP<!db%MY2J{Kw-GqST_E^I*ie2V
z^0Y$eJh4Ce)VjudLul?uxWDw06|a14sJrgBNUT1Rm3>Jugal%X#M~<u<Yky>){j{x
zTm@TS-@j)7f4hGt-Wg`bYkrG|NW?1P_}@(RIKKfj+)m-CuxCb|H*eT4@zCMurQL3~
z;`Je%vQy_o2NQ;5I}(>2=&@i-<<T8ReK<mG;!sLuLS_}+VT=0==yu`6$EEXn(D8Tc
zLh>ml?Em~Vrh$nG3*sBI-m>U{SJq#yFOf|6-E0R|M>6BiTNZoA5_Lfg)8e<~GU3Oh
zZBz2x8-2w5(!3|33wlm*zgy>-@aO!#t%k4JusiXm{%F1qXhbi4yK<Nr|4AvoPYdNh
zk)#6mDVh#E`6P5|Y>62i5)bxC@8-e|-7@#CP73&YYOlO|&Vu~Q`<?st@}R|hzj%Kn
z1xOJKgBG!@$lhycC`{wSpY*G8pg@6N;nf{AXV|dlT;bEQ4LxZzptGfY(uU|BDJj95
z>^LUIo~xNHfMfg(FKy0g!y;)ZLGK#}o_c(d_-|zsF5a&sl^STn^pjco07EW3-LCw5
z)lUe2v7Q_@_(KM!CQ1jbiW^-bVs0zX3S+IYLO0(jGE9}<F$g}vi<<9hqn~7mqBfUD
zpSJ)R28Z8%p33IKP|kDtRBv(IJRNcP3u-}A;$)?3K0n?bk{}YdO5&dalXRmPE#T#O
z?>zHP06BgOkB&P_qi)Bj#k)OP(53SGUjOnYtP{0r(E?d?>i4vt`%ep4(IrfKix9e)
zhb^lemP6-b7aVTv(t;&@sq(Ld!uXf&;f=2k<guyb&EmUQEwDe_#FwTkii&q`EZ_L6
zfRnS8A$-kRu%Dz=u&G%LeKOeII@>DZTCvk#upz@&>lE+UD-vj%aD7&%Pzim4R&_%9
z$Pi`w?OfpjDHPG$Z+()af}0|^F0Sp=h94Kq4%Io!p!aK&`*!zLG4wx{t5V;!A-%Ew
zsBnQSZXSqje<-bv=@sU}Wq}l!JEt37K*-^V5zQIybPa6PeaTa=q61!%P0!of<?&c2
z-L<Q%S}0J}{rUU44(QH!_-tBMz^tOJ`PaP2xV|sNV0=y&oDV$6kdsx!4wHhIsQ<L_
zq;T>dW1bBkHO%ZcYpsMy6)HC7&D!{)_{MyrwE@IB3svMERK_i&{{EjP6jUxfn&x!N
z5H_(SmBxpuAa{NIhnwdpSSoms(#B*A$;zBsq)1hC%j|qYcbkGqyG3HsVogBlwC8xt
zVKwZ#Iu;ifOTpiknFW))W{?sd+3v5Wjs|ZOhS*IhSTy$5JLRr9<XLRFU)rvY0Shn7
zqsq1M7GJAXvpf~lC7G>0?a;vLA8O6MEZP`)=K8waR)BL8T#~$L8o1k|!c5LW3llO<
zyrxY93_IQ^bjZ>`F5hlpOA!r}_4O7?yl4r@)5*^%;Tl-~%9AxRR~1WYJy@PH(BPry
zd*=Wl4eSba#Q}C@RLGS18@`_gvd8&Me}$^!;iSkDsg5N4!IQka_aO}onCG(&=BT0T
z?&!tl>vE{OpY}ngjs`pR-X4Fsaj#}_T+i{3QpmRY;<;TT4U|X9Oj~1A@EGsFT6m=>
zj%q%=DOf^-Af?LuatmcF-)@zENmvjI4c$|_FVmnbORT1%PZ77KF*jF!;l=uW5_=DC
zqrt33BAr|)36ELp-5rf&!``@R%9V9XC|uAAe$AqQem3V}+=KxgvaF}qvn;{O_2vGA
zR5`rz%6y`hVTm|;pub+q+7eo1M9eGHWKq71g|qYgBq2Nbt>N7-fX@+hLsd7W@W^$R
zo{E&;1nV)Kzk7oL{w8uZP0xwrks9*~zU1#jor>s&P6L!M%&KjQ5XA|@7&F^16~w{A
z5o5OvsIWDLTWhPDFdnt6Utgl+Q029xWV8=h!1i*}c?Bjxq)RB87PPCO?r~eU%e-z5
zW*@t_K5_`4|MhytK)nyt7WedDAM4DZ=r_NDg9RVns?5JA&i|2mEW2uswr&a>1#R+K
zrrapt5T~0l*+30Fq9#VOFonW+A^)e29LSBarqPwP)CZJ|dmZOZVEN$%O5Q70Oub&G
z3V~(RXxR&P^i9T4az9~e{SY(4b^ZMJ&G)E4A%|X<G=`DW)|Hu_jQHJSqG@6!mnct5
zTiUmggGgU0PdaVrdd8W8PQlhHVt1N6vst4dkVNhL2l?o*%wzTNW1@*zdDlUjQ8fg!
z_bSs#QL6+=C|2|fb1R|p;>1(;s|GNaq0nbxvrGuey}96Q-$5igZ(=i_)rZ{_-Od`H
zMPjk8a8<CShgg`~6CS!>AH+W2C@A|iPn10^s2XP*AZXX7EC#>o!P$G&Ugz%35v?x#
zznyG{h_Lh9;}31tgO8ugZtLgF5+Co0|F*jJhcG%Iu)V!f7k+2wUi>gIL$qX%d~h5Z
zBTOe`rBzIIA<-Z;ck09pacyf<_oJK%!cX3$#k5=pe1=~%lQd_DBz(Tg=r=`p!sI!6
zst#~O?s7;Gogp5mMa(Ig&JcP>vbP<nr+{aT^{RsI3=tuE$g)Xhj;N_?i167#0j<Cn
z9EZbah`PIh0lbn6#F?*w;s3g|!S%yvNy^_D!sE!1Hg~-x;>2Y}-nAfY*nf+-dn$gG
z$R79M^9fiXMm?@%C$Vb7p!G!V$!&9l^5ImA%^%l@dx80<?Jdb*vQWkzWjasTNB@Z<
z=h30IlUmM|a4ndBS1l{(yg-nHLoMF0F(A*E2=B!*O;F%%&Y+|&68XHViY?KM81g9s
zUNLAwF<)Ko9>!%tb>+8wy%;mTp8PgAwnGChPxhPLythKM-rRRn=o<?zYZiwL<*38*
zUM}xLN7o4L6{m)nS8RAEE$PrKt2)ST)hzWfphLF*%;<#)4pct1ws8Kq8l;>ppHOw8
z$LfWLts)Ct$Q}SL!ab^RnD5fgsLKpk6%uD9b&wbP^!;63cdJ6n8~Psw1C03oj;lXC
z6F(Xx!B)<073kY6-ws~PcsV}zV#rAWTwhXoNItFt&$3<Z*XUSLkdZbk!6JyhhnC95
zI90&n9qrpp0~<PK)n6mZg>WGxec)NKGBAi4Wd&ApV7x&}w&^VqO#bn>P$ozjcB!)2
zF7|R^gMD9XK&BWz4E&R7W3CK6kNXm~8u8-AaBf2Gs{{%Zo3=$uDFa=g`@6?|d>EA=
z+&-ftjj<z)QI7?cVU0PQ8opToS10B+iF(VT${wYeMMY%@e_K+L)vyWedbYmWS}%tj
zFL^?Cxhg~0lDVSjF(E8{nSMOcN&(Z_<Sliwl_Ak$Z^d1G5!~yy$N$Su5*8A(7gJ?b
zAgH~@u}V%1N7wRLOfD<oi9Jo>Cht^0K-xq%TUP>$xg(+{oK%o<v!E>WfhyF#V0G>C
zmqMMqmS69+)KKHsJ(6Cr8hBg0)KmH(gT3OPv?s+hP_&<x^^!{id?G56Zz#!O_5DXY
zDcoB4QQQB*o_tMsVZ8UAP?$V=@cdXaq0>f2ji@DB1{vI*_3^p?RKU`!cmC|0*2WJ{
zT2mY*wSh6JOqplHH?W0<7{6?zpjTolZNX9pLPi8+pOq=0{UJ+oaJCL|<iRDLDqVn@
z>K0qF3SM0h^Y(Yu#b0u!eRl)&L8Bn-SJ+)u{Kk8leC3BO2D~{kWN2*&_a9&P4_Hyd
z(8Io-XXN!Z@=6P*pM^2JG@8$3p=sc9=lQG{bv@*CmfPv&WD5FvYp2b<HIXAV+pugz
z7gOhwGJXV`Lq%O&&r=sIbjgo9Y2~Jibr%#?qLQc}((J`=!%4=%Mcay)U>&41vgXZx
z0ALwoVl$5<qu1pAt`!RkCi|G_pMGNrS&z0h^*<!zCJ!D4-OFVB9B}QkQ34G%mQwVo
z(`209a$`PBMFV|I#z>F#t$^+JiNWWKTG%LFmZ-YnFJ|6X+&WZj1;@Ny-Bvg9c9)yj
zvFDFT*zD4OcAVWB!o2M#_6cet%Mr@i=w?|QjSoDYqHPUbY$f8I<?0){&Y(#ACytcf
zT2UKKYtU#ey;Q2HhJ2SN=IX;Y;m7<a+eId85Us2fj6J1-$<zt0_!k`5!zR-^Tww)^
z=k^qlA1NV^5MR>mm32aB!Y%BBrxl#wabMI&63RYL;~#!CN_;&3X20q<4Z?K}3oNwB
zqbM`qUv}#k)XL6%k)uI0P&ufaw0&L{`DzAE*>L@#u7Aw{j(?UgYgx=$yjdDeWaMs+
zZJDE5iQE|sJz@!M_OFD$)Qh9zqtA}{CacuygNuF|0|3W5y|0l%MUZvh?CNF-dXPIB
zm2I>i!0%|{iDoZBJf3UnX8e%>Mrto>{HvjYk|Xy%$5?*!*K4$&XlDfDK$`BMPZsdJ
ze2d+iciedE@|!1tN0@*$`mf9NK69uR{^~Nl%7(33^2hJrW`bZ_QrcZQb2#`mbSgcY
z2?e8FB=^QML2CT#FU~4vaI5k>(h+o+l~Y;NY{vxLk5mZjU8c}&pW0~}zC<LvJ@=7i
zoDmG~I!X>Co50EF9k&GaW{7YV-z1L<jL<#u>HVE=8+p)4_|IMaF~YHMO;l5Aqt2uK
zQf*Sk@V7B&=B-IT@rqr8gI3M}zqgH<@*XpSI_nkgu)J?Xe_z_Vn=b>%iv9ReTWbhq
zdSZsBwO$hPwNAb<N(?aQ%lYcEoFRz*q#nNgwVL`#w5asT3O(4!E<a|DH2{0%+^Kbq
z?^Gl1ZPVs|>0!R+LRH_WKFn;>lBN9Wq2}ZmmOPrL2P?%C%^r7sa4|c~V<<C7^}X*9
zXeG-4>j@{{)ql_fNk(-|kNH1TZ6gsLyN!AxUqAnS#8MBQY`J&&diXzTg=|yalO_i6
zx%8C!<gG4*KIa^W?wX{&yj1LO=E4Z!Q4zfR&2%BHyzN2O@HDkgiTUy1G9%m}uLoa5
z9mtF`TecgRrG~mTy56i~f}UVz9-b{aAfc)`;?+J+Z9W)RwXcX7c+HK+CR!;VVU(V<
z>+>R&EXmn$p@s$KNOy8{eJKz!f89Z|X_;yndMZDDi5032&DHj<Xah(`Se<EKrH<vf
zBr5D;2mR1=7v3~&5cW>)&sbWg&hQp<?Cs@%qw4c*?fTl_IAChvu`z$5!*@8NQ@J3z
z?ar6xA~Lkm9b6pW!T@ZZ?R}b|JizSw({O;13^v;HM;Wd#0<*N;X2s2XAY~wU+kc-H
zIPVs#OdDW=nfUF0V*U6*%+|?)t6mf8pLckc>|}w`u<IdHPX)kWYYaKjNE5OXw%<Da
zn-zBD*miGW7X<#=y*B+N8o+<-QZC&Mc4*dMyd8B>2x1CfS!vm5z=AwGDd`X=G?H^z
z?kbBwz@;xk4ZZ46`uB_ENe^x)j+i;~bW{{VU4gPANgd|!Zmz&NURWJeoychw2gAkd
z-Z_rypeOrt_3t1byo-yFIz1!_f`O}#SrpabeA$l7yGjD!aniH;wY&_ls!R>9^Q%L<
z2#I%F)Fwzx{-w90Ru*=g-*P`uOdY0u=lt)?3W8W@+1fOhJg_`Cuuqbz4t0gV&K55W
zy>CaKQv4O*W$dDD`~`Jj@Uu<mG!li&M=iJlx=2vbx-Cw1MjiTG(#WFh;&3BM%5}#f
zCD3{M>~iB34ak#g3bk33fDfa*!I`VdVBoq>@PVr)y#1-_x|dxViaLFdjXzQauMJ?-
zT(qE1@IuLENm;P_ckp|NvpV#wkvdot$&ix!-_JOj9IVRh9jj*6grP&EERR@i$TAlf
z9}1C&*xARD=ZmzUT$AMS=pY5EZ}<%=y;1<_D-1Vtl(nJqv}IP?5gni$Wk`}+B0<{&
z8}%PU8*^42S*@3<3rR-zYF=9@!IgaT>PyKK@DNhGSvRN$RS|h^1(%h9i_fe#TSf=E
z4@w<o_b`CrTb4H1r~(E2jZ<kCbl`dok#=du5T4nEmL#sILNsq{K33|$55ww{aoNUT
z6B~zJLh8U@^nA=<gFj`>vLaOhrtmi4SIsXT4G8p7=1Yv#f#_G=B8g_^@Ki)kE}=^U
zbUDJ*U$g1}q3~~)94i&7Z_7B@MQFkftvC13jslMZiMf0G0NAhBZVK(ugg`cvywI)M
zz|7=UDy_bezZxi263kkl?78g6tE>edJD5Gix-H>6?O&?zpe96lzo^}}R~=0Imdo#l
z(7-i3l3p!F6IdLJ6}TK#Aj5Z8jN2a?aES1pU;3p1zuTP*Z%Qfx3i)knHnD=5T28Xk
zf;wpb2og~2mjf>j@1G?;RzQsm(B0di2AaoN-c?6R!I`m$@`uN*Aa=(Jk8;vR)XD8?
zNlg-gHrmmedUq=j-o?_gSxN<Ld4^guWCcKD<m{DGN>-3|%t(>(ni9lzvvhn)=775S
zg2;?c8i<BO=3Sa3flBx(UsFv6VDCtavxuRAp_t{eue|~of7{{3qc%r<f5S;ZLXrk2
z-~ZB6eIf@{#<Rnmiv!dz;g>vp@+~2u!hS@QT^4c>Mu(J(s39EX<R^w3_*mEVInGEz
z2ZlbAj&CE5f`@D_0#NO4eQsYCgJ7LxuALe~gx~Yf#-uF(p}Txv1d&DHVCX3*rTa(B
zS3fVT$)<vUgx6$HiXbrLJk+x$O%c-}hQZsbEFhe3GS)&(0K{9)531laL9K{#;OjMq
zYe#ff^hS6gA?piw)a4mM{+u*RDXTezOekEO>*s{9bMCwci)V<)?M-^u_08aB+w!5O
zmTa(E`a$*Kkr~2%XLCV@pDCOi%PFp0WrAZ7o7+|2O%vrEiVOKqOrX7b@ZD_z2B19I
z^}6WK6tQ10<VDzsF&qoLd3$YojViD!sXqMAB%%A3VdpcQ4ZUL;-=DL4iF$YX!4dYh
z38Gpn_Rx5=5imV`_O{V}j+*&%f5W%vf5bDFJ>=it4dIYHgQH5>6!qGj>OHSK$B6bL
zztyM|L*QA<!xqXvYRZ8pjOaQ_7-o3iE4*d^TY^SPib_VP3x`e5<_3)r+a#38vord@
zb4KgT()a+i^OpXPXK#iGP9dkF&mQ_9xIH#xS9K3H<#m?9Zk<6QBDL`ud!ru2=5h-k
zF#Ab8Gf`Tm-8De0YLIUSo9Tho{55B--WDpKJMXG?Wj}HHbFgIh3tgzE9H=B`eWWIR
zdGg1$xsTX$C*4{_T^G33TE5;Mtfn6Q{w3h4SRZjhroK}xM+X{dC-p`iy`t{O+od9%
z(n~zd8u<4A|1O^ZGDi!hQV-}DY3Z8x5{ku+C0+Rx=+2EeqG^4fn6ekz7bM(ExaME6
zbJL@M*{PGUyq>R!xaCiIXQX<GT@Sf5MF?#;)>s@>c!404<9lq?ck~j&QC`_B+q9t|
z`kvJAXf44xzUkcK!d~LhRLlqIw`5=&@!oc^rh#Z_W61U~?IVWEcwZR}XaPQWZL#OT
zC&IT`)X#mgk6^JFveOmNg5C9Omr2LJ62TJmr@uD$6S2nbE5kOLAgbw*l%Lf?$f}<_
z@vvur;0?3&H8`gM<3588>|L$I&fSfp5|V?2#Wrc%r3!VpCDnXwRJM)q`6=2icyWkW
z;TTB}Vo(Pe@<j8EQ$LB~FjezOg%Lu@DEOGay&4RCd^biv^o!V5q-l{m`-f;1`t_(c
zT@_wM#<_8YcM~s~)WyH9|0TTI{$24JQ-R)IbIW>(UgCcM0096043~E})o&Qa?Y)mZ
zk9F*E?0xQoNP`LuD&rR^+9DKXXC<SQRVh&-R4Uc^8WAm}B`ZQikxl65-}k!S=X$R9
zeV+TiKh60Rt7{J9jPe&^@$GBWp+<O7pJw(mxPRXJ68&R>k$=2;jYg3g0yt`;I5Y+r
z<oSP6n_MOtS8`Kb-PqM&R`2#?tap$h!cq8lynBkly8JS4eGmmM#cI>@Pkt~;biV6w
zT%2JDTn*6V{i2F(`})E1e1x$qNc(U*a*naR)R;MYttz<uG;Ufik1{rOxgHF=w7_6F
zw9aVqsS0wY&m3|N{LSe7bo1T$vA>Ma*H?^;%v4~@`X~K%(gef7a$K+c)C%L`ACAC~
z8fD~7$rrIRPcnXvQd6@_nTW<a9@^h5m9dH2i^V5zim|?R1C`f;g`jfnl)3p_3ALi1
zzBYQ#FdXJ~zLTG3C4z>w35vKY;SI@xTCin~5u)}fS-y*%@KigSd-A6ugg<#?w1zA&
z@|+bY&9j`u%5kslp7Dx^^cI&cdjFSE|7OS7Iwu~2(C!kWYbe6<U|BI|&<Z2zs880m
z4n88`$}5$@b~4PIcQ4$#&P3QaarjH$5hPL<vqv=($cR^*5*ssPAzrj@YrEnnOzaZm
zW6`oF<AL=)<Cs}iqSnp$>q$8hA?%teX2VAYduF-B?LKxQwKa=6$t*@RIe)4q)hi&c
zxXJz33MV1*GANf-LV}=PJdi~`tANn_B`IxJ9^zwc%fu&dDZ)Yf!C>@J1+d11t}FP?
zM+99p=PdXxLohV=zEOx(fS^s?^``rR#N+_^P;ikv@t;uBUBTxHxZ7v>qjIk>!5u!U
zFY%sC?EO?6GAvI<NJjh~Eg2H=n0ZhyDOib^rp~q6oFv0FiO<$%UX<|AQ5UqcP$5hg
zWW!D~DZ;#QGisS7h}36?wlS0`#5s2MhN3D(B<@RZ*R_x$Hk}B56sE6EtP}Ley?a>+
zW&8<UWkoVXydytL>~2jWuvhj>W1TYI>c&(g)8vVN_KZ8+x3q~*KibTg3{;V$8PUX^
zKqj7_*-}``r$^MkJht0)mICvp2-9f}CE{(*;lZqD`ow>pnT6ug8t|9S82Xv7Ohnas
zuIHVj5=F^ftpAm0!L4~m_S9NcVq#WhV2ol&>^N%|EqYrQ&x_kDLRi%Z-?`m0i?&9@
ztM;?>`=V3?1r_}oZBi#9<?B8rS{oB%HiZF7Btyto&uCvt(j+nym5#S?m=LiW1_rrY
zjB&5!=flHx+QgS*5%a03Cd3KVn$274O;KN~Bd0Q;Lu`EbcQTbQAwu@PjJoAxfx>%R
z_nq0LNA!8`jJ8ZSAw;7LxEExsF%n|eo$aDeWIyxZWBOxE{M~FCkolE{MRHg8j#v5w
z^^3DmTDK9w6uSP05uJ|X6@7nB%25ffgbl1M+YO1q!bESS2wQlFO{addq7t_Rvj0>c
zq!KR2LhUC~?C>TqmLr8iC0;X5^ZwqeOPH7%eZRZk9)*&JADDFL6QQ}^$WIeAh<usd
z!iIcnuz6h~YxGuqVo$+{s#CZMF_Bj}zj$B`@|=mPiZyyf<Y`^ack}XuqyVMl@cGqq
zL8-~1vpU3vEU}Nj<Hd-($yUj>C)XgcMR>nQk`_^|_&VTyA2-p&U^S<juE7TD$dPS3
zGzi5s@pW3|GYtOf=nt1(*+Y@0l3>HFMzl$9yqBf$h87h`S|&N#L%O<phuLivVz2p-
zse0x-Elx90)a$Mt{IaxmxjQQnT1IiM(y?r4s?F%F5wgQ1TX>52iUMJ3cJB+*YaaNE
zYMefQ&=!}Cd^x4lWQe$%{sP+q1(7~q*mL;}9dWj$CNDfB2yt;GyD&Fl^t_7am^P$C
z_kAmQ-vJVF?UbLjslN!0|IU~Vy8=|MTl3rVf*|1+mQ(zWhlH3#?)BngfPszKgTYZQ
z;$`r|+f2Jjs91kTKv0E-aUH^Ss)L0%dGBVZOehJy<8vp?b!~9%*QUpg4;C52^op8I
z`$*UuUGS#K(HeOT|BSD_nPAj&cm5K!C&6hYb29yq6?Aih?Y|ZEGFX~ZJ&Q>sh+jSM
zXV-O0!2k3!-(QDmna6snGx|jE^}+M9r2z}1x143#+tEc^_d>JO@V*Gr+cw;B*SA18
z|5(*^>rtA<;wxLZED`j3|5th}&K#A8nm&j4Own#cX9u5*7QwL?&iwfAW?1KNnKL76
zp7xwOB)~sLWL3YqQ@%TyLEF3Z)~1ciG~3OhJyMrMFuOc_h~=Rv`Ww!5wZ3J-%t+Ht
zqvs+hXv#x`jw#rt*-lNqVS)1nkNGYx5;~Pzzp~si!MzKw#45_zFt&Noc4!X?HwKq@
z0(4Apdl=mPhdJ<fIPL9l2MMnK)Hu)A7$g0D=GW&+To5^;ePCOFC<31M?GIaPjMiMv
zJ@YTPQL4Ahn<gZN!y96s>3=iA(wWrb@%wmTdT)-a>%ADthknI&L>htPGV|~pH$O}d
zvK&sT5XbYa^^GMeM(`eL_42F`Kz2n!ZcniUl#ej248Ai2yRT`Qx}FefVjY8}9!Ubt
zBH^R)hVb`nS54v<hMnrjv13D0sM1#Mr`Q|f?o^p!-Lx<Sz3mQ*>B%5(IEPJ|#}Hj9
zY?A3iA~3e?krl|4#Z{-`a?cI}c!iUHr4Eo#x359gUPK<04yCZ1Dg(4!O=G1@h{7$L
z<LI6;1swZn?VWkS0L+7*&Smq6L%jS#lK)*YYMnBtRO1c67FOf_!$<;^(T<Jg7ZstU
zNc7U84N!S$UjEl1N%$V0y8ZpE5>}+gV+NBAuzyF`JCi3;pnQ&XTbrPaGwSDzb*>vg
zC*c|^r?d=GLJDsWrmA3rQCow>D+7d!zhGH&Ru&gKQkxmMs<38${nU)z5Z>p)yn?vp
z5qIkM^9|(`l&DNjJ8v>Xr(dsK_$3AWI9L?!Q?G`*k4ztAmm6Yj->uZKTry16dhe4z
zs3W$!&4FFf2%YYJ_f?N5qFv1S%y^FmOp~>D`ji+!)+H%(be$5^rBgN?>DENGlSdYL
zjWN0kdT;GeQwC9WuJ~Mw7A{_!*uQDc7^f#l6gf5(+?5$xNYB%T?3VDCA<s;3I4`E+
zNRJ8*mVOGeb<x4e_`TF)mrU{OcIQRqYE|s~>lSDFRR_%h2D-lSX4t;f@>fnI1=3B8
zGYTfU$W$#8Oo%pLor9eV{Z?v7=cm*d?$ky2@O=&>Ss-LZRI_754L+<Dm&+Y=arMpY
zHttK7aI3evYJEl>V?(=bT>t1`$Yd%Zv(yUBiC;2)uBaob(Q4(#4jqIVnhyWIZw(%!
zmrfjB8mOhZDi@sAhW)SC{;z6m&>m5>#iBq1f3GReZVAu=SLCQ|TL}%PU0k$A9%;bM
zwDNVHxF!Y%>Ayqiz~2!T!(DeZ5Rlu^otvqSgy;Js16FnHQl(?n=xGg94*5Jw8=;^x
zXB#0n4y-$O;Tfm422Nz<^%<(DBC<cs|A!VGdCgaj*jB4U#xQ6f_a<dTrwYU<Y^6g~
z{i2kalse2OZn8#)DZ=zepv2V!bPV+yItTfvA>1hHXUcX3G+ne8XFf*9d&0R%GM$3F
zJ%JATgEH7`C!OxUmyUa?mi*JDs+gBZj%zHH#E8m&>jO5>@xel>Xr@{P?;b{atW=4?
z{rJ)1A!RzqjbF=UtCdl^ag(4IHwm))&$<q+_8-#~y~nyt36E}>%^t55Li%`I^r0#s
zJBefPbCDu!U%fa|yPY3{56vDNI{;(_WsNW7lX0Sp+3C>)H_r83)T~tku4nEW-)g0R
zl#iDNl$1FUam|8KeUpYSCRw4a&T=T(w5`l|kPWw4P4;hLqd~|g>aM~G8MNO!pXjN{
zijlvL^Vz#>@YF#^khHpAYrS=ksSPqiIAvPiZS{YfI1UE+$VtL^q0m>3iy7}bugJ0T
zTjS|Bo1pLc;%E(2P;rcBg3U<ry(T{^B!7spF0&ECwNF(Sb6uIxwxXyKNmwFp+|@^e
zNfcEHZ*J23m{2Lu9Pv)h5~1^240^u^1gH(~N-CKU)1i=Q9l5Ii)XDcp2ZZq?w70lK
zpLw<Z1yA{YbIc_?HymXb#;Axv{oYPy%#J#os&O(0LtBjh+8QAoYj;j}FJpn*1*Pql
z_syUeLVo+nUJ&iPIuzkTR(yTee5p;v3{eX23q?!>kl~)X%lR%FZhh6bb|J?UYd9=O
z!8`d;K7S+SQ8znAvJ)pugiH};&>)|1pATB8!y%ojoX~08(xaGa0yiz29Sb&m7<e)g
zy^_EMR})f&tbhrU)l8Od&hlc0Ew@dKjRz^WMg3|rjq%L?#QIxbd2wGv>Ui;GUfjtO
zFcp<I#*TrA@$DnLILC4HTh#`B96ozu%;Sy`L~REcTNL>q@a8^BWCZc>kEi-$x)I)}
zIqi!&!-o$AQ_aP(LJ+%AbU&ce5TQKZ)(EZo#a1`U?~Y_)WcKy-6^9$*4a<(Qs2YA`
zmR`7$d0hlog2@vM1w*uWXMayi5y082hvx*_NO;8OaEte)0ld|jKiVb=LL<_2%_TuG
z80p>=oj7TLre)>2L+(OY8{C)_wMQIeRTca1#s+Y0>=Qq-D1@wsp|t{S5~!*1bv-ak
z#Si|goTsXVVHKXSDaKW5^?t`eO$HSl^6Sd}ofd&=PHg_txHK#ukw#vnQ(?PnuT1cN
zBowEAUKdm>3z=k7C<IaAE$v&q%TpAimtEbWL*;SAQDKUG3l-%*`hL^)iDAe??r1BO
z3|?!O+0%AZEbj6M&q@_Xs#Na-y0Ic!k{c7s=v2H=`(VL%A%T6({`A&0N)REuc<VM&
zq2<4A>Yua}s;%dEZu%;tNOIz|@IERUv#Tw9Vx^J&I$!E~k_wu0k8^WnQ}IX1A^JMo
zsxQ93v1hqf75Beud{k(s!mfP}pH{9M{ybltwwtD4i!6U_r-}h=%5Hw|bWp$?r*o{W
zzB*!TO>aM3^|hzA)j6y&Wbh1Ky7)a%17()H`ZC;x$o+P>S2<7-*7hw^GS@WWxBIoL
zX@MaWW{X#-9!luhe0gp6D=p-R52Q`5H$r!f!xl+rWvFXk85SGV#=gM0-wY9B{B$z<
zZfUQAFAQil^y^??kL9V*Nn_Y2>}Lx$SH-S%Gn-_e>SBQHjDXfp6MVOhFz3>w;HkPl
zt#iK~>^FVjTbeUPbR_Zafv_67)xy>n_v;~r-G1$yq&cpCqGvRXs-b-1LHuieeegV4
zR9{|efrh3^XVq05ra4R>T;$NlTOI3-PopiN;9BRN<*NZwx0hQ(wH{;~FBrdKSV6?P
zMX-Nb195!OVFlcJi2X0A`t!Us%*~T5bp13j`}(ImT~HVKl^%M3RcXi{jpj3|&_veW
zx|ie4+R!|3^v6X7AVqPyIP<M0{ul+NWm{;0V`p6O-U1+6Ux-9%)Wm%EN>Jhv4K(Lz
ztMT#C(K6u6@-|r$=bnq3Ooypq_K;HHM?X5$ZQp%&Q_}?BqJ8{=uPS2K%|4kZrDJ~J
zZ`idQ4G@O}H|ANb=8!{Q*-w9_qkfSoiRZgIE*iN6-Vj&B=J>}7dB5rCqQ})U^Qwa<
z^Y@bJKRJvwt>jxz&=Ey!AMOxSgLUu*g%M6^XgZp7iT2QO%05W?7&is2N9*H+J;lLO
z>oB<WF&%Q&S9Xt%szCPhvgIQV5=Q=gV^2t+L+R0Aooj<K#{Y=Ca3cx9C+g}8yR~$5
zmnxh+oUMd4PkUo8aPfjw{)(yWKY%*7wl-m}B7WYK`j}YB0kxF#e-D)d2Ywn;Xf|Z*
zO{#9EO0nWnc6f)!c7X5h&SN5$@<@oG1tl3UK}1Gz*=?DIEgiGf*21zVpH-Mt?EFi!
zAKqi}XblZ!MVoCn*`)FI_mj57BlEOh!?uDBDK_BEvq(^ukVHuHE9)Y*SsJO)Rrd3H
zYmA<4bQRwy4wL(nqCbvI)6Qyf$FxgZ<9f=~P>-9UurE?lm$@`Wd-`Lyx9zIGG=DO$
zNT!f58gel~V%HSy!z;RbPn9Lk@3I;`*D8$f508G)xIRVu-RibXVY5X4DPi)n3?YPY
z28$bSpQd@ZZGL-bhXoEY-u=hAB!B|nQSPh$Gqesbs`FTtIZUjBrzgeuL5uQQ(I94N
zlz!0%kA%#j(Eiav^)N5|_9mXs-#$+}6nQFm=%^X^%&!UBaPmMuRX`<;vPdJxD71!l
zn1XA*>&x5ETu^E`bB|SdiFW7R@96{frq~_Z<q+1x3AU2cPj#JEXr_;?%$uuCpf8<v
zXGww+7UwA}LhG5Zu6jW<TFnIK3O%|vpW#4$`p+1<SY~v(Z0sy3G=}4{`1WcE4m{95
z^UJc01>IZs|0K&AL&<5f{N@*SI2D#T<>|5E@R`bMg84@9qW`GltY-(8c_K@45j&VR
zn_7n|86ijBHJar;JIarB<rV61VxqG!XJ45i^xj^rm*?a_e{b4>_P1Q<3j4_a&%zK?
zwuCrKZw_R9v-=R7!h@C#DjwV37$8<9RsCES2P7dEChO0K4FShWFZ&yShfC`2jR;Oi
zmsl`e_Y%O-TfQxetOgiqck|zE&4sgp+^+>}gwP-HIOSe36>OpBehw>gBa*~7=;tMj
zZTy*j!Y));w5iqBY49L^>zI2=wg{pF^DXx+>tn&GP`})r7qxZH(`))kNVvj?R;kj5
z`}_T`YKr-wmvYbC%TWw}g!gAXJD`tml}jZQc>!GMr$*gq5(g=0{rVUB`smWDuM2-F
zh%>e+3tc{v2&R=k`Z%WtouRNV)CM6aK8$LpmX=0(cIC^Dg?d<f^@oAyQ(^Qbeo?QS
zltJ4}k@hxEJ(#r$%Id!n!I6xfb>vYw1Y|}&{7+jC%e}fTw`WO+e%^O3oP~@nOQto>
zVtSZXeC}RnDu%PEao+A^MHug$|M*B!4@&f}cU&{X@t^8ZCVm$s*h${onPaYpmEV-N
zWKKzZnen)*oTiKg8?m!`5qen6*>dLYg;oEujQyF}rGm8R%LO8RdUz$7_1BUv14a5d
zopLh@N>8T*rkLuZ;78)_^Bi(m+iG4hS*Qkw9kLNOvh?9<#=LQIP#(s0Vur&48Za5S
zG}+Hh#kE$SzS)ChJn8FNKY3acY;rAij+dy|K6L!2bciC>7ZG<fC$tdXEf;df-T=h2
z7Xgprm2lZ`e9+ci2bcD3V9Mt=gsQ%zVse2p6dNBEAHS&!7p=x}xfw%b7>~5&JXS&D
zq+d>YmmaA5u1H4wHA2QxBB$18Rh(w@>`4#ShmWyu2pic1o}XsE)QwZ1n=#hw_e~!{
z%Db&wy-ks9&%Z_TpBfZ2WJ3;WQNeE%ndbA@4B=NAADjMDM?t5vWZddJ3C>)os!_8*
z;J{wJf)Ne$T-p55$dQU&j+Rx-*DSFuxV|F1MiZACHh0<yP!TbFM*IWW8ZWKn+*f?G
zFxUP3J?)x49&45h2VJ&7lq!b+qhAY+TQrmASoCp-r#@4h1vu`obW+7g8<Ojv$Y1o+
z#aZoz;^I;uzEVf$!)9&N1ibKyIiQUV9Z}J5ZRoJL^4LhoTpL<DFYhVP)`WpA`+(k4
zI&R)<+xK@^3-@LtrmF9&!O=X!Aw<y@N=H77KlIf?wn5w7WjR%plIvNn?6ZYr%eoey
zQcWZ^Z#{4@LJ1ANdRIu<wzzBXc-^}?4S3k?a$0z<0DJLoXEU$cBHwz4yGxZizSOWc
zy1tRd)qlHd_%GYy9_QHx<!Ch|NqlV@))B`87vYL6Cv3qb6Oc$Yr$9eA*E)Ss7>RQ4
z)aq<)apLi>IKAFgo^AH<E05t@ecuFwsU<q1Lp9TWM<~N8FPUjAi34+M630Vst#X;T
zw2Qa65<Fs$@Hby$!ZY9QvK(hR%073q-M>f1x5$08v5oUI`Hk%w7z2#?m*?Cb%47eU
zR!$L_KQ!kf-(z~?fW*C>>dZ>A$nugtvi;u>t<qQ6`>-7FVb3o2r7|h3yf`e$tkF#~
zJzBAOHh_klxEt?ScT2$F){z@yO7Cd<=X77J&9Q+r@5eY}Gcknd_X=}tucwU~ZoC!N
zYK@YJ6Fg4VB<N~694~RIqSby5V!h5}jcqy(PA?A#W4<|wK70QL?YByaM1-Xk_Pc)7
zs>~3C)of?z_JbufH<kZH{30xo((_g8Mm`_HKL6rrh`vY5I@im4p0L36*Bd&?3*2aV
z-0vtYSx4KwUh)_huLY8rx3LIc<%GY-4cCRG7Mh_;pvw~vbC}=P^8S&|j&8Z_N-s^`
z)Ak*)T28Al!(?tz#fJt~Z1pK5*jc{NQikM2J-N+5`r6|-XT$=(5}Sbx^Bx*W<cswD
zUQ@VkJ$)mpmkA+1%DAe%`)TLbM&?+*G(ouku9G>Z{?TlS<x{#1gS5iJqIot$6G*&p
zoB5l!Of$Y;@W;<)g!cU4QlaLmAHBMjV8t)CM5|9>kI8>KMjPo#J&`78jIsgM#63NW
zwA^P>T<(?=v~L%uHAG{L;Kw~MzGHHM*7sfBi6K2ni&Q(JT(o3};2irrp7jf~Eq<CZ
zKRBmpJ~QkYlrTeFVsSgZ<NG`<V>m6vn|+q%^gP8ab-@5D3Y4s|2lKQ)gIk{M6rZP!
zGS@7$oHD?>{=75l_472-1?P%Pn?>6C4a0BWvl~Ea{EoCH%L1)IqRGrCdWm-P%oe_D
z=cy3S+~33qUZ5F0WZl#;xI(kCappHsq$29AXsoZ~B2B8Vxr1KA1l}5#+Vl7H!LXV%
z(HmQ&ZSNH+cqzmJjSC-mpRU)(C+~}4-^Tya(vI?^9EfHGqgll*`L!N?e74nWQC_C$
za}i`4L3WVB-eyMe>Y>KF;?>*46<U&ZM_uA$4#Zy+a8KK;i_1nE{EUT|5S~7x*S5-)
zTJqlun6BvH_eQqo&a+Gi3_Z#7E}REbonqsLbK1E5M@QlB95cw3-it98`5^b@$%FiD
z+9(Nps?;RTipBOM4uyUJbUZ2vdt0Z4G|y1~C^t5o_h^2SR3U_c|GaNTm}sHvul-%~
zYIgLyJbazRErRPwm1`m%XrlK1{z)fePK-sqEje?Bw93PCu^((TA@ESEY)v;8I=BL?
z=A^`MNY>P?zH3!aO8{a(oxhmvn96w|#LL4t^Kn%-Vn^AZ#%bUZKlNq&Ek1B{8|prO
zAc_204!&5L281k_&r5w0z!AIlFIt2&{`61?bv_Nu?2@z-zAS{5KH*gBX<4MqcL+)U
zR>w4LH$fT@#-sO&k3`%R;7+lr*B@4ggx`Uao$E+AHNkF2oh0MagYL@OWpx}(=>9}$
z6Gf*x)#K`BCHT%n8YdfQ!16@F%}d9{;gjS#{^x}<Dz(2EE+(z^`9z(y*h&&seB*%y
z+f<PsG&MWPtBGe8qx6FmX>1Akb#wC)1wRW;{u+C{%4ene(uIbyP%E_zFS(}<nX$Ml
zz4=;5p_JBQk376M2jxajYQpixE^$h&HUzCRWf-1hD6=i+F<i7ECSupQK}r`-`tRmc
zW-FrV)UK`$Rb4#uysF>$Ob=cbaS3aClu%kgx2T-a!(-3fiJC9^@SIaxH)o&%&yc4x
zMIEcYZj@Wk`Im}MCv$4F(p4eQnsbJygo=?n$L~IKG=$i>`zo4$DA3B2w#wXPfYfs@
zl?I*}f%`>o-IR+uT9^b+wM?vXzEYA+?rszGRUP4=-O#|RjMqIS+YE6->b*m;k{Q%F
z9Y>OeHIdyQxnP@U2#3EuN0`_w(6{G>hr5tArb8EG^H=w_@chBLl6gy1X+=szi0I&B
z@se<jis7p7C*OTMWsST-&e^&F9T35@bGdN_5LkCRe{7J3gAS*C5>Dx&V5=wlraUT6
z^!}Q)=><kk)VIfc&_&>O$2b0~c`k>N#bp10j!%?bbIIRz5icW=tj4B`KSLzRHHU4X
zkUg`*a5ZNztvs+ZTjfGM&m_$S4m<2O7r0@ppo^1v^S*vN)zHBCL`x^c4ho|?xig)0
zAf))TwEc}T0!G;S<e%7qr-dVahov@FN}$N<L`MBnf#R4BJ9xRB%U1rqx*w%xUMJe6
z;3y+$Ve`%o{X69SeO5WsaAV+xj7$>9=KH5U-(0P;=Rtd7n;HTiyFHuv$-A28-@NYh
zwSz!IN!eNn3cQjGi_~RUP+QBLZop*+HOXe*Pn%Q_f2ikzZ}Jpv-MQbcIr+A@C~&NF
zPl6J1^t_boML*Lv%EpbEsoNsVV%vW&8ps%!V4E$Yeq@k_gBFjM(ILH;_jIPTJPPvP
z->d5yW%$L>Z@kl?<8ks?ZsT@o_%CI$MID}Is9(SMc6yZu3mlA2wLOx+NWiIyQq=`U
zZ2a8ACMvM)aOWuV2T{1svB+=Oy~NlcD-|Vuh=xF6V;4465!kL3scPJ_!uTHm0RR6K
zn0GwY{};#YnZ2_2y4Sk*+Us*JDiTU|Ss|f_WJG<V6eS{2$tWWk6&b1cyp@a;G75zx
zGK;e3&+p&&<NY{~bKZ~hI_LF#XV?WgNW>b$?)x8f)sAw3{xHYKpr~y;iL4iQBFhNW
zVpCEZ2iYKg+~(up*KOS9jZYi3!4Mb?={gG9m>|qzw|al|HeSccT775M0K6rmGzX;U
zL2%aGZB}y|Pq$?0l9e%ld#($1=1;aU`;?6`&G0Q;^EOY(IX8XS_jWpPqJ0(HsCv3@
z&z(*DmqoCa;zK?7ZzFysF>L`mfV)r0lx^UDL)fg!XLP~Y?mOeN;Xl}iJ1@%Qo7VBZ
zo_B2pM!K*O&&|P>_Y3nE;U<6lvxZN4nMd7A(}9y7wGC(Ozhf7J*N;b2*6?zlOFz`-
zwc(FRu9ZMlH%4k6XBWS-ihmICE9W_^4MO|$S9)9#Cb-ABy+mde4=9#!TB_9or8|>e
zUq0sI3F8G{pL|}yC4Ey>vgNhF&1UarWnmM(9-BkFTfKstuzvICx~&O`LFcwV7Iotp
zytPwejVt(-b3+SWY?{!Wc<%IZ>Q}t^1G8%o%_=_ksq{7B5(R$!$oZBeHG&^)d3EaI
z$yHo8sVISgh5}JW(T)M$Kk;m_OEZeBYxpV8uIQeNWN3GnFgqOe3)ji=HQoPZ4S)W{
z;BqV@8Lm7fEbyF}!dIH@b(g-Z<5su0=+|$MptrE}z)`1JJjG{L==`ot+^aa_p_&K@
zJlzWZMT^ei#}^-lUJ2X6S(~r#=PlL%r6T|SrNnt$<l%-s_bwU~5poL4G17nuX7{Fc
z#((&zOvl^tRT{+6t@^R>u{s33EivA>wtxfSDziBg9ny6V^Yj{4gN^lo3M=U)Jins&
z@EVyO>D(!EjuTS@5mQ5&b03%Sc}uHoj#vgX7x3i<!BZ8=jlCsFX{-42``5CD7a7q*
z{er;%%2a^i;O#l$xpn-=v;08G6lSDwVc<{$tqQbU_M#YE-o%gCGt_lDup)PR6+@~U
z5!~g&@7mXF<F@@JV7;FmS-V^_@O?{wXeH+}w!3IiyHA?6We^8C((>20nnZx)Ov~*S
z2RhVnRg<@;l?yGtUC;aUSQ!MZrF(zX(WA$o>3_?s^B_aj4&4|PWr)yaA1yayL=hQL
zu9bIq(KkDqfZCTz;GLVQ;rN>g5ghU#3&`;!g~n3(hxSSk*>r$kr=A7XRLizbbPJ#e
z(elqZTZ-`MiCXse8aDJo{E5Lxu@DN3?o4*AQG}m{&Dq?;yAbj6W5*XI!swajo-=(h
ziZK0%^Kz*U7y2h6n7+GT6tVPb9y#fu2$MDXao>J$qduq85;0m5NV~q~%80!p#Lf=Z
z73}3jGYspmlRc%-{&D%?b3Te7Usdo|uayra=xJVPZ;(bNt#X14w-g~V`6n^?qyXag
zv%mG*Ko%`Nymw;gha%94l$;4A3!%L!3VgjCa>$r1kizDo1R~XECeMlqqoL?`o`um0
zh&16_Mc7h;Z-0YhUl2u6nF0IHE1-l#o_X0`>{W)-VdwZhc!(pqeLsv3?k1qYk@~Ye
z;{-5F-ghqKl_W}D>~S;PCL+5(*T)X(slb=%?0i*mX>{q9ct^r-Rh0I<QpKQ06&3`n
zNdBi}5ML>WxzwOKlHIlzORQIih@&c>bU(<V1~#>@++hv$&?0zVbz1|9<`zYrwB^xS
zP(`-#TN0A@yZ(*y02!X0Gw!o~q=0Ueoc$bflZ+<zGk)o9qJZswXYYN&N+`20rQ(7S
z1ywb=9ZC<>0%4KMl=aKXDEzk8#tEE)UKy1TmoObL=WMllF+xDtwc%w(c1_g05|2I7
z)B`!K_lK^_t00^H=4VX;nkYg?_5{1B0Z6j?PNeTqMeSO(f_<MU=)2^R2zfUnXkVn|
z$<kIsHW#XtJ<KVnIE}Ejd=`UduNy<vvuY?+PMqcO2{KZxpOm4z2B4aR&Z~H;qb{9$
zb{qO6<f!tUxc@N~Dp>TLof6bh`cmh_XtFwbvt3bpFwz9}caVAmcJ2o~yzr1mUj?b3
z&y=c@GX<BkjGOcmYAEv8doK12B{U3^XSEAWVSsl$!%I>P<)(Bd|MyW2jl~{y5?VKf
z!khQ6+i<9&XQ!D0ofxE%I1*&JDQgBMS(25>FNw%_vT0$vP6Um1o+10ln86CVA50(<
z&{5tR&&>rsw86BN>AqnKiD544Q5TiaPfd$J!>8<seJ}M}a*ZjlT=`<Zw?YBUrHLpF
zZPK9Y-y%LFx|qV{bzl5fw;XzLFW1~S?++fKdszF!v<ZY&U2AwUCxf`HGVDbT7vr3{
z!%j-UCNL0GQ5nQ5jnW$r^OpLJV|@y})){}OV88F+=hRpU#H>-|{_5re=4vg$#}z<@
zyO-ilsxphB@sHoU=<cm!RFxOh>*D~q)IB<MuZ7URG<;9K0}UL--dHPn1C(T+<~jU`
zAB`IM*QxT-f&F8Xs?_%wG+kHqc=>?`DTFdVV^^k!CunL{Os_FC?GBGKIKqkeyqu>6
z5IsCJN>`nnG=ktRhPOtySkZZv+r~1>^w4~RVoS$j1hrezT+GId$e3zx#63w5*K_Q7
z9;h1vyGi3S83$UF#&vT}yp$fco^oZmc^JU{tAzuBkJoV-E?EaJTY7MjO_#2^s}DDK
z-K*j9Uc~1oJbYZI=wQ}nz=ZFs9t0%b%=FIqgF9q9wMG6%2hF_w^%Jss5F6fMx+`Z4
zpK>|%;+_Z{Agx&XCuelQpYDdRS5!aV9BE~d^oAB19dGGOwCaGw)`jjs%eQ!-&vsLI
zG%W;hR{tO<=)mz?Oyw9u1*W6rn@Ko83*trZ1a`-3!?momfTxsC*h)>zn{Z89IGaFQ
z<^D$tDvm~N$~^vt?e4H$3e=$mkrfuZ`XgH4bSd#K_1Y*Fn^;79+kqDF#>Uz851MfP
zzHiG_+X*ap%B-0C7A<ViZWT_MXhO4O(lLd%GuVyCDK|T2X#r_NjZYl~oVKJM@kGpF
zR&{)P@_p$bTXpctK|=}{?~ch^Jo^`0Agn%fqos$|nQoSJoD76U0&~6B0>->B_kQ>l
zJ&>4+Y?bzr;lZR!jJd@UHfq{)O8E{049|QGrs*cZIpsHj6RIni%cMC&Kn5e+$=EnA
z;YEU?AA2j#?_R?S9Mdz|UopYfx6|VZ%NlS<l`L?bYXb`jQRysaV1cS>#f?KZHDGL3
zV8Bv%3$xI3{ACfw3df|bzerNmfILG->7U{>5Jt(^&&JCRv?|gGZ?o0GJ#yPW)R-2+
z1=J$L26h1#YeD><X*FQ?suVK|rh`Wp6OMUwaRUEd&H+ACHTVdF)zn&gI9_&X{mcb!
zkXqR8!}C>vwTDg2TbL1EC?2qQ{e%bJf6uea=TU`XyRX&H(wHE1hA=R)&I|2Nqd(ud
zrUHvBdLE$00*qD9CBFIcgRckFKj2n@*`sN1O(t1kGWJNu%LM^|QZ-o4Cqk(XabmlL
z9pv?i`!e%|V9%N72RJN<;5R+v_ob5q@LC4XtVm&??QuGKe~SR&4%OZgbll+ZlO)q|
zRuqQtS>}@FopUE17AFc12%i3NOCVDm=9@0)+$khL{6zRv-+5lRw}4gbnwA8+keaLV
z*#vMQ6})sB<%5RcSg9b2H1ur9n8%b8p!PTe=Q$q%P<HrLedVeQZ1)yQ+598`chc^2
zwTwcLZhNit-n=Y0zE9mK(<g$peXNV)yWKF@#q0O&v^?;4Z&~Qo5}|BO+sdFo1mckm
zUpc)ZyyrhOL+7IcQNd@!I}5~MrRVvT$VW=B&n+)3)>IYbTK;tRH%Y*$rWVJ;P6XKg
z)*W=#MGb;u%XjBok^<$j6Cu4j@3^@pQC#v=9cH4#rH)rf!x4^To{z1nFvypz;+n4k
zmKpV;8?!R7%i~iW-8pp-g7r}I+aw6DCJMGu<RC=O*o^hM1_Y{biiDMt!Q;_ObIXhJ
zK(L=MpqP`uAdkA;Jw*X)dOe@<b_HOdmfo+JA%XDi_f~5*T43cL<~Am*1ctNA#DyR-
zeEo%v;r-f>nohC{a#4ox?Wg99tz_spa?s$@C0(!@X8MsEPXIUl|ICPg$PoN>@BZWa
z^nvJgKH^O#5#CN5v41o`hL`BbPf<}r_@&0p^Khq+dQZN%b|;Pup$E$}g#Q`A&)4OO
z+y_)4WLn|D_nmyY23*798!-6%V(>xa7gg}1SoV!^lYq+bL%I4DfMB}1Y>K=Zs7fXq
zbIqv3obJ7$kyt96|5m^DPeTog{QC%I7OLRP9bkA$-2}V@R!==&QU%}2pJif)2q2hX
z=+yek1Uho|1(b%V0@H7mlLw^~!R7V8T{=7av69Q5ko{Z*`l2=()_Y~4Jhw)U&({=g
z#^<!IRS-dp%dYb6O(}3+cW@oNYzo!X6H^h<1h}6u-4@a(0v?&&i5vf!!Ylq;7s7>=
zfqXvC_3b7<U=JgDZH}744ePAW`_mM`a6bB&r#BZYY`5_jNSH!XrB=qZWqJ6S|JnEe
z9}}46diAJ&Fab6GRGm;OIcRyluWn9b1N$o2%FOI<0>hc|V}Us`fSW<3L&Gdaw|eF7
z@CFr1ZmaF7UX+3j;;Va-rk&WWkVcb+cq-^=p9yn#A_1HUI=V-OKjG4E3R70NsnC?o
z#&$hb6!J5DM}5}E@U^*<1_E~gyowmE8|ChXPJOzX1GoO*C*OT5S(5~ybuPD%7!&|2
z`UHa#*?+h{eMSG@!x%jIO#V=GU`KbkZd=Yai}<Hms@|7V#xUo4+CFNI8*Xo+{O*J$
z{FL<p#s^78K-2s1yjuzf6o}-L-?A*@AD%TXwpJU$wqHY^QxPk)HpT6cUt7W@#1{R6
z#tp#kGULpIG!ujb{cA|Myo761CqRg}0h~E}qOo~}4ixw6E_O99;&*%R*C!p(hmRQ{
zyj==3P%bkjl0UeBvyet=PUY%>^2|Hd#{KJ9z3!I#`GJ49*Qsf%XVbcH;ytxp_3IM0
zRXNaqwEZv6smhkPY^V$T`GVHM^M5h#Tl>ml-_7HU^Ly7OZs|a}Bfp~H)^98_zTQ%_
zbq){N65u4wX+u_1fxPtG1jbSr8eW3`!5b4sh?fs(L*S)HWnDR=*vOFk?KZLBxX*O~
zJiA5<1};3;y)-k3r4!4n$DhvN8AF*ZW-?kp?4wo%z3#>OhlMs~qo;AACY=H`MH3jZ
zmD#4bKVrL&RQ=|=GKITJve$VtXoAau<5T=D2#c~<<G1)QiEF2_J&KE>fCw+sP^e8l
zrq}k5`;pBg?v^_haAAoI{Q8&sMdtGG>5fv%cU+VBv0pQGs%Obi7cOub<A06+@$NF&
zWS_)s6Lbd7ER$fMPb;)?PZRE!hcD-vPU2I~Nkr}QB#5_2KVZ}U5f>}W<5sAi#1-E&
zce*f<Aa~(9Z{FE1JP5a$+~+lgTWS6Fe4nZT=WFu4q&j+W?W+ZsWGtugtlVVBAQ=rP
zyfo4|$kLBXb2ZYK2hQMPx2`n>_^U${-K!cC(l@-|W%RDDkF)swt442x($yd?&GlTS
z{V>j#f9T}tfIs-1^_aqjW>qlqxhJVi9l^8P==)#h&*7HlzF#c2Rlum2^FZpz51cx1
z=S*<bJbsRpviH8B3V3#iN|dDh#6JyCf@>%L;{V>ESNH$hng54}6XzVp@$lyb(_N+u
z_`iiudIl{7_;}&N^-tOpczRP-+wrDFJd%@e$zPBFeip2YjoMTAz2_FEZ-g%6n$}Yd
zGXBb7$*Nc3c60`pX~*b3A6mtegvy<dy;XvM9#?1YvfubC2jlD3$JX(YQ0FN%86`Mt
zAY40_F^3m=#*8EuZ{qSTEH~1xD8evD{Cn}mdHleiSDN31Xb_D*qhtA;0vvlEy)Q5L
zA6}B6e&~G^E$XYc*U0lw0PYovqYBR=UbH~b*vmkVmQDz8Wq+23O3vb<r(c%vM~P$j
zP$dIexz%0r(^ej8lgEZ4TUYRd2cEmdrZAzsQku;ld*y(0WL!*ldJX62CEmZB&4TKh
zBE(zV<>2Yyn=Cq$P27#uKQ!+<8#?cIUfF$Tf8P7rO!n>G#_4W^UuAdYK=nZjgK%9I
zY+6h!Yi(%}d%25s*)DG6WyKz2rX~wgCj?gAhUrj_QY-4X!Gq$KGQWm=m4SnCi^p|t
zF`%Wg;w^#}A95J}F~^lA14nS1GMNx2^rb8)RgFmi?LWtNw$NDyR#8a4)kPL$ea2}l
zgh2?E9~IRWP?G^2*S;{)8#WXnnZ{Z|5k|HTPUmFv$-v!Iqw~pz9H{qLAt5<K6z!gm
z3s~DF1N#Opoj<X_h5W-ENOcqm^pREml%Kc^SQ`qpg@yAV_VCF)O>t6)EwD+b&0Gem
z^9^k)ck>}tRPl6zTLwMeZ^ux1O9oapg~}7Z^P?QQukL$Z%OYp&1@~ooS$KGPY&zzX
zAWFFtaM2)M9%(=D?uyKo1*@yfoS$cRqd%WSu9}4^qL`$$ZahE^(z=X&U3ElJUfr}r
z)&*ts`rpLKz%%mjYcinL<f%9c@?l*V$Ri>V3Co#t^$K87@#M-NK??2p5Ii3=w8Nd9
z%g3)dD1m!S)0^%zY1H|{Jd}%118shoW4^zK04+x}!+7~+kso$7rb>r|Vx#v?N8eU~
zkcr-0#zHw{{dO!h!Jdqw&m^5#wpNGiUWUf<y$UGs-HPGBF$zjm=m~c=B!TGk_;Api
zA_^^CGao#xiF`UoHAdKW{KmOM0+pG{sCmQx*|>-n;@LX-XqiU~UcHR-nK34!%FJ+^
zl_D*q@OWZu;eZZoN@^aCZ&yJ}ffOD5w-%}pk2~8{p$BKoo|zdKsUec)?P!J}E%egn
zlxn_~AzYO(z7!v=j-FP8dqf9lp|5Ygmfn4145mNCPj(n<pn=CjfiG`rqOf6$ERP2O
zbpQICjP7cn!q5A$St|<C>ltvhYo|hUQWJK!Sp#j)FQ?BHlhE%G89J}8CU9L)(KY9t
z1`?WSIP)-29VPAg$E#Fl3O2Or?j|W3=w#0RF<D+BnvFlRf7{;-@^0JKEE6<P`*w;-
zL8t;Uc$}Ze`rQmhOFy%O64lX@Elb&q57Nkwz2;)3=pHDt8fUmzw!_yiBOMv;ilF#?
zuT*KJ_W)PjOybNW5$Tw{tX4DRMGfR5H=Zu-#Mk~&Up%LbcI}ccn~r8gb{jeZk_BcU
z!1`>DSC=B{=y@Rbg>@dcc{db$Tgwcj3JC&+Ir3=YxBE<4V;2_YwtGRi+!Th6X(WyL
z$fARd_1|(1FJax++8V1QO@UkRpw0$a8g)3Gnmj2)2lIpJ|FOlJK&xE=9wse;P7-+E
zFuO2Asd8a6X@{?+1OtnHa)==A7qzLbBz90sY&+fMM1{kCEUmWMf{2)LmH{8+fWjA|
z5A2!&`WuXkTORPDq`dY^FEhCySg18s#t<N5@^)I=BTmFoe|7cKL2fXiMtOGyVQ{Fz
zK9f6>1#R(;*F!QloKvxkd3e?sdP+~&^or1<%0BDA3-`HUb}^^$NP-c(D7IR_O*ZiB
zSD(Jtzs3y}mo1aAVnf(_F8zI=)jwQrW^|XaH#fYb(NA^zVgQoli0fH#<M>6Xr3VpO
z+_1~-w)0Ca1GuWh|7cpb6W6#)Dv@I12HoF73`cGC;rGGO)j`#_n6-hyPsv&?n5AJ5
z^UT(Rt_$WD)m^`1tb)fbVo_YcUSlgu_fHpohn8IFeKUozlb!F(Idg$eSk-o#jV@GB
z+EOBU|6-Ap&ts2VxIogCzcul>4rJ$gYSGv)VNk{z5g5Y-Hp~VZ5fVD!Sdl~EGFZcw
zFBDE2ec}QGmKtn3SsQ|SBVR}LZeso8H*t9dZopHitKXTmVLkq~^Pjsk;4SWFB6DuX
zf8myr^Kn}6PC~2FnoI{XwozKx7&qMU?{^er(*m+<Jp1{V^l&joSd#Mu4+H`?Zl0zI
zK4q^0({vf(b5l>I06i~c2S(4|l+y$YVZLfg1ryXQ*?;(2%?oeBLT@m?qCiF1^!IBj
zEbyFJ;P~t%K1g>kQs{N0KylU&Ti;SvV5&_*BmVs0wk7m{yiSI|iiqQwHaqC)O6)#*
zQUL7!?*8Xju;Wjj2Y)wg-vyhB_oUbo1i|q}jn)?jGW4H4@oi58CwO1!8_j7Dg2vh^
zrYSBmOmRP&pcUhW?Sm3+or1#9l;13`_=yB}(tH&{S$Lo`EFgVPf(SV1R2dU8NwDu}
z`+q_^^~?tAP9+J8L23?D>!Uyt=<z<Y59Hv3-Osle_*=x`N`~Z6-~ke_nYkMbD)B>U
zI#FyhO%gVYPkr^*B7qo1F1gS_07#LY0lSbCc-;%h$S08Cv;(nvG(!+lYmzkG8l_>e
zyJ*lvl>{B~UrVEAh2W%C%}o1e8Mt|n+@4@ef=Gjz`+`owuuKsn*)7S!fWY&-K6esu
zsQw~z?r=pee(9Qzv^-FWNoED9B<QKyyy$XD3|Lo2T}JE`pfZYiBD9YLS`9tNqJ$(M
z-usx%+)YK`DHfyoL?(kQ)|cwmD+%Fj_r@mLl^}e!{)SE-8Lo`!UU<+Y1(SjAytLQ}
z&^RE;!$hRO?M7{a)f;J$Ot!g?0TDV`7bD!-C@>IWZM#?_1FalyejNAR@lV?>1B`K+
zU|=OD>0B-gLzv|)#z<9|eplja<fH`-;iKh6C2}C%+^LgzQVq5%vPCk?wBg=W$H@zM
z@}PJ(%kG8l4)=mfPm8$@Ove_){76%P2Nj(i)7|Q@{XNSl_Lwek;G80dq7;FX6kT*!
zL<9V|yYwxS^x*07=Vw13QUdk0@J?Q34WQebxg6ZA5Bhf<@00kHA+zH#dpxfOJa^QY
z;9}VsG`74{mY2#PIAlpQDpCh^Ye{Jp3nR$!m1b9@5+MK4mwR6QYLHai{A4S3hhO5N
zG~4nBP`+ABEUHz7G~s<Rc4ZhypQvs4Gf04~GRKx_D;1zFO`c@*0BGB)?@ym0fM@)q
zz`JY$^!>INY3~P^I!eFJ)J_1|RhB~07fNv0<MwhdP$4dz)ny@u01sYYob)SFfEqQg
zQ&p){U>#?!xXDU@ObhkWm;cED)nmM3^&=JXhj>;m_$q@!0a^8uwG7bQN-9zRONF)>
zcbU>0CAcPD5O+~d3Ixrr-5S`Y!u;>^Sv)n0uvOq}7AYwPpR?GR?N+Ej8sY6f@mvA^
z3vJge(b)|SeUnG;4^nsZXJOuVPaa&~8TcsY@dLe9tCDO56`0;|t35m;2MHszhl)<|
zK)j{g!{i7m1dN6-d^42=dGFC@x%wOsGB;07rcmJ$&pe63BLnmk!TsNlv%srSWzv%|
zfM(qHM8kI}c<?0g+b0(W5PB`(Z<qqmDeFBna!L}$zBGs)W~T*D=Q}D!x&R*2A+*D4
z;*jbmRCBv)10!hU9Defx1Ba|%jV^4WkYgHSS=_XORi<-2=h`v`AAG&HjX@Zmb@D`7
zwl8A#E#2eSO^m^0K;eL^v=A^lUEt7o_YbRHPRJR&Y6Lf8n1lt62>`PdHFPxoFUHU5
zIAzpf2u!0xC$^gTU?$kf;@#>z7Ww9Z>J4E-NO4N8ush5PjE4)Z-d~@`K7UjTKkjP)
zm+x0em(laUa>m}aFaQ5vw4&_OsMUu*YNZ8w&$vLPW-Bx0@IUNvCFKTzOCQ$FvbL(S
zIbb5MWG&#*0#+GsJ09t$2T>=D{p&i|p~E3D$aZ-Vi(Yu|snMbftv$zO<}fz!<Z6&o
z%U{My=5v(oh`O*^lI{L}ngy=9Z|_fwS;aQr@rV9Q)q%OKF{h>uW?&Sr`x%<Bj`{m!
ziVtpSgZ%h?qwonP@H`r%{jp{f^S&^H=>=&+kNz?KY%&w{6&!KVV5ET|i(HPyQ7tI1
zIDA5{gb^0EUOYAgT5va0RpD~g0)l7WgPS&t@bBHr5yu;Jz>~UMn=qgW#A}Y-2I7p6
zXes>0b(S6$X{%%dj%vcmnxo}Pyo}I?tq=-48R4cm?a%rj6kxUdYmueG2>G|CRsT#g
zfzP36YWgV($VQql>IE=DU6L%Da}o<&s9q9b-6TUqb*RI_2SzybQtIwOOE!=ds{5#&
zLWZ9PGG`<YF+q%Lf8jOxT`*o%h3zAdAzAGEL62o7xb@&=;hH2TC_f4jIN3siu(%NZ
zXE-ycTWY0`NpORX(LvE40VIeEnP77&W&zpvYe1y(KvU4%ufO~xaC`Kd^t*-?d^A5F
zN{--#;QzAfmfmW>*+2KGhbGy;TOoCFq=^q2TezM&L~1}aX}@4TwhQ9>U-@sS3IJ24
zA6v4P25fb$nVP@mfPz)xc<oa`FsCRAc>h(0UuwiFUp%<r?U!2ZS*zWkm%DwtH$feW
z5*xd2WN^defA0KtY$CwIqW6o2q7HI4`AV^AJW%Z;WO-#=6wXCk^F9Bg1~m28<gJQ$
zA*xMB{`;sn<RXu2TMcUPKL7v#|Njh^cRbZ!7{~3InY}mny4Ss2dwrjaC|guU5uzlC
z>{Lh@MP+0ZAr+aSl;WP&uVE#WN-~P<z1Ppb=XL%#&+|H;@s^nSdULsRH!NAczgSBz
z11A4{3Z|B;L4~*M{&*2VC{^+e>y(p)!udH))yHZe<e+|LC`<@ss!u4J9gu@j2lM^3
zPBqZ6p8Pj3EezY0656TR@_^~zdv{2f1e7xCQo(ppcr=$ws2*1UZ0vLQ-HRk3pE1V0
zqliO@KY@SUS_!O`hOg{lBSUBxsD9d#0IJT9+hfm_!Oeu~D0`d?O^@Q-0{=)sz(Tdg
zni>u+UHdd}sgDdD5^sZxgJhsi*Hkw0As%X&8Y?cHQ3vN#b*K1fSumfwUgjxD0RDf%
zr?{mxz+C^=E9IMVVCA2CTQ`XavBx|T(6|O<<?q8`74ks)dHuu2fEu`-IcQq*jRFg8
zR%Y*76`=510ev<%8OQ+_3=D=efy8`aZE{KxEHAk8#AT7eHaY)8C6_iNbg&(k+@%Zx
zV~>xzF{?wtXyE~&13I9VQrI~rtpYw`BI;=l>JS*}pEdhL7ecp(ziTSsK+x~|vrnPw
za8TMIf>l)?)+;zC_wwUGJxb=6$0>FAD(VvNRAB%CFLU_ihVZbK`Db;3tPblx`pe`s
zjX+KEU}ocWRk$YWEyDha3{o3Q+HOyb;c@Csl{h{Elu0-nhe?p(vx(g;y4?WbR*!QY
zdlA4)b(S^xsv5Y6)jLKs0zB|Nnf?6&0Vb!ehFpjzK#xSP>Nh7UI4<q_r{zt6gF(B7
z{3v)BH4Qvk&_#tw<6QqGZUW4WF7S_*DZ_}e<3gyO3Gn)tc(`9uh5pQ^Je*95un<0P
z=@M%KZLF4_^>6SH5fQx{zh4e=S*4QSmYKjAHIWOV-8itFY)tELkp}$_hX}dPO+aw&
z+Za!i3cQJwxd_%`fIl0?GgEE?l+3@SN>`NObl~JjU9KS9J5lHHD$xY~^W_T-)KY@A
zvsHKL-T1)Y?NwH$y$OiMa3pbdDL_kQvc*$PPH+kxP{p&E0G=gX;GLg5aGHiG;$Jd>
z0^b`lu9gZ^UVSdwrYzj@>EyhhzJ>AM*xxp{vj>0DEVuD38OT^YGDlamhzS<9&P2@s
zyw-WJz#k+9$DG~{EG$o8eM2_RdWitJWydYwbcn<2j+e?Oh6b=$f~cN~6hOV(Q4g*I
zqF`z(vZ7|(iBVi{%;p@&V0rrfg<IP~Fw>jC#wOl`afa8{rDPZbZMr!4NS6ShLk+#_
z#a^_7KehbOTO-I1dz-n`#Sdq*m3nZ~k7=U?90}N}A%x3g?H}p+V6|oS2RiqR*5)uT
z@>s(VO7}^Q+^OS+()gy&T7ge#!M)u4fk6h)sx<m5zJU|6RnuQcIhN6!#P&bTd!i4@
zU7wSm^09-=tANxf8wX6nZs?2QwjP|mpOVx6gatIld5v!f)nNF5up}*8J!lth&^Ih%
z0_z?X_YSW&Sd~?-lXsCWh^#CT-ghuSTSB5>>YFw!L+};n?R6c9daouPjL}1M2FbzU
zOgHA<_xVtjiw>}?mY+y!*~TuF3T-RA`iW`v&Sac@sSOPG<p*ZtHnFSrsowcA1DHoY
z&(%hGZBTSl{wbNWj`4MM2S)|}!9L8KaPz&c1@0TMK2KQIu<OHnLp?i3u)|FnW0u>R
z(8LueBKCF#Gx=@sfX8$k8&is1u{x^>{}g?>gFY=|14Y8f_RSRL7oxY@cANr=ujs}f
z>|Vxd_+|5&RcEo9)sQoK$0;BjVH6seyM&b}#~OPv%wswP<CfK74WQrskKM#|3A33R
z{d?-)0+x_cY<J<L2COZL%sSdFVMU*U`c4ikVOq7yNzZ51;RN;9>6>9oSTtvm#J<@T
zjDB$?sxVp|>~GT>+-hCI9HMh>9g<kbF5OanP2yAso@YA4_xCSj=K9G}rpGt2Qg!?9
zo_S<o5PX$Z%(Q~N5O?0@|F(_YyEqe}M<GKUsm_XbXayT^nE0BZOAn`2uc$}mkicS`
zowPo=iZvx|E#J#yfGA!g{OpdOUn%Cl%A&N69b^oe`yj~#KhNv0tqZC_yw%{A`?U?s
ztyiMb@+C7=iY`dDdJw^jxi#;(+!m&uiO!Zpv%=}x_Ad_~6QH}$gmwS;Hpbzm6`SY9
z4tnR7=Lb0npd6I@C}e>S-pnvsD+F_b&q?cJ6Q@;y{L1dT7Y_sQmF6%+R&jyuw!XN{
zPdtQ70KsK1BOK3}IGV!43#P=ji3$ficwG@~xmd^q(@E45f4%r1*eOu?*B2bTV)Zqq
zO0s~d@M4VFjy~M?cF1*m;GlVxTDPx>6`1;q_{@C;Aakqz$D36ZIAFmQd^v#~%05WM
z=ZXu#3F5hm-9;*JWT>oFGMW>T@4nXDToQ)t?r^J6R~2}Dy<I%yE*I4KQ%e=sML|DR
z;pdow3Ork6s~275fmHjXhc$Q!kiUIYyNgi;x=xL<djTJCMYx1>B}&0dD-WiPRb}|;
zcIBhwJ$~2|{l2I$Sq8WljCJmFr~qN{_RB&A0SGINQ5hYT1@=FMve|knV08NK^_Tw%
z!re_PB~34Rc<%6Kh<H^6l4JyU1+EIi0j7(k7V`?=F8|8GnF$As#j7!FXGMV}uH}mS
z9VJNeUVC`&5e@>XGQMBGC=QE3EGBPv=9${i@KKA$!_vFK64u9(z@un!<cBIA_EX-U
zPs>t;kz!uk3yd<rcYt&|f`b5lch8PLA1A=OLv#i6m@G&Z40AV56G3qo-JPriH8{yU
z=NNcR4g#+Ds6>Au!JFl-(mq`>RCZjbEF6}H2KHwq(Vb*yTcMvEI;0Mcp61UeR*Jwj
zLtb>RQinsh@^@`T8nAFLawPAG5_ndzdG8O=0CwH(R1njIFQzKKtTHN~sMaWyD?))^
zCtN1z8@1rd;kse1OE@?<#bRH5lL8?6bT~Xg2l9mcL$bc&;l=!?jlW$xxt<+wf;+1R
zb=s+mfxHB8wH~oB>7jtPfy>{(FarpSDYVc~BEoaXxOyv{0*gkGr^4cm;Lhn*Q#LL&
zXia1-E~TfyhJ1a@-4qONT;TG(+@J=B+q<Q$Wi?>TdF~Gd0eIb%mk(1Ufm*}U2jWX)
zF!)`?;eMaGle-K1>dZ-Syo=-(%}0Vn!@QjK023&-d7&^UN`n4!(+`6!s^CQ;oeShQ
zg{a?ud?xeMz`I^nrWaEIn)TWdvs6=Hz8Kd=?IuF7f~w<<>k9Bq`h)6NpD8d-^(+^>
zBfu9wqu=-e84%@ZjxJ|11BcUs`|gLULeT5(l-K2AK;|o3HDfRXvl)sq^AZmDd9Xhz
zf&xIKYMDCpn!>B=3@_@eRe<i{Mic+OUGT6W!lE$S6qMDbTv-y8Al$W6YjcnudUcu#
zV~tE9?MKeVKeY-VqW7`#i{Kn)bnWb@REG)Jkh#0Hf675u{ynl~Ni!C2ygb0~Vgj#a
z&pnD{m4z)Yn?1I<{j?#r&*CyasNl<aD`{7(6l`@{7_&ys(i*os2*S=(i2qf2kzG_A
zhGS(`T)bCkT*(i@e|7^*TS+vn{T7BBkf;9W*d~o@dQLm~0Ki~{Y}MvZ0r(y9`%aP{
z9ik0q9IUFwAYknE;{slOa58XNlf6if^2I*3#5Ng&zN5T(!4@~nm(09>AjE)BrCYpt
zw-K;;9TJbX;{cB+!Kgu72DHy;e=Bv-5IXJZzt-}yz%e5(?!Qz9bWxYR<Dirw#Jj6L
zr#E5%F`J2Bw#*D@^gO2)(cS>YD{ftUb9)nOxhbIe`Vl?a_HDUfovaV3v_~v0;ma6*
zsIiF;(4zzQ=y#D?^nmJSd1BAjEcVg)w4iSX9ZEVLbkSB&5AaWOWM_@Wu-`SL#c*Fb
z<S7#GsOqB&La~g7SJMYDjls_adsyg@c(%=k{R<s<#nnGO_M#IjmH4+*?!Qf&knnnX
zNLUBBL&LA`TCK<MBOgjyX18cgD+%BKL}<fXMsL|J{Bv4s60Y@V@fK~6ea-UGZ!HLO
zxhp_&>Y(K_j$0i`*rI8_&p+p5r3K}@{ec;FKWT}hbT)Z;TQrHVH2uC8n$Y^LG}laP
zkfwQ&{7-*$i}q8AJ^3$L6S^&E=dK(drd?a1xBj;C9@eY$X-<zQ@a~;&QIEqIjhf5Y
ze{we+@@J#bI8`Vx^7L`RH1ibgg2#B*yA(P!n6xD_SE>P)&J6#tf108FE_&Bkt4NQ|
ze-e7PK+=GyM?~xUm*;3$y^1JXFFjiJecsH{pbp;GUd6vQT%gs;yz`|!W<aDEaW>h#
z>cHZ{S^8&jk!FLV3u7-~L<S1S>`Z=;LAR0nEvbH)rm)NMwF6>8x!#)}1J95lP$mD<
z`75imo|g<p<{QlDWpQ%M6Am&oyXpT7_FJcovZsCOJ;I7||2Y`h?kB<N-M22@@Y$qY
z9wFr)8ev0oPpEybveZDbXZ(vr%+CDLzvK7b=0I#u;)wji#2p>K(7XJb4k?Z7-JKr2
z3oRJ##}ye7p@l=6uVOa?G9APv2c&W%ReXfZbUp#-6_14ZdoUuGAEvzIle{SPNx??O
zj!*MB1a;nj$Aq+H7R6;t`B0mqhP`8~D$sGH>m1(4f`V*&eZ*LHqv6BpM!T6*K^0$p
ztYVTCDZIFqWqnBiIXlzaOr_(2*%jyU{Runb-cAUjmls0XZFfwxHSi#05G-nPpA-F8
z{xtIDh%nL<c)fML9|s?T3hMl5Txe3!KKMYVD0+Hvug|>#91wigzbrBGqQhhS9%=u?
z5o-fQ<3|V%H0_mUjH!I+>5-{CcbpU&+kG&mekZT5c3Pi3p2LswlxkFHRx)U>%zV1h
zF&r3ijy*Bq7C@hB*iyuDWs!o>KFY{t9DIMMH+`*85UE*|hB4F0qdjeF!H+-SAeuRT
zqsK`Y>83f1z<CAazm;@QP8|<^4g=!hI8n5z=&t*VR|(xQ?ONIQ77qcvkD{Dp#L<OI
zqlS#nmC=L$#3f%OsDkG+>C0dABoWW#oqct|IAj=fQ7Ali$7jFfNM(jfBaYcSfpL1O
zX!Bgu%KLgEtlk-`lOL5q!;2@S%~*+OQ7@jzs7?YG?A6yYB{|d{<RJgCQw`ZjRf}Xr
zk|B8FisHc_c~tD;W@KYYM&#O#K3c3g7$*b_;r~-WUo*ak`bnuHU(=1L-Wm;XVTjr*
zC#!^}-#c5}>{Cb0g5y(_T$<qI;-<@TUK#a#F^p%A(?GlxC5E0iwZNtEq_=0M3L-uT
zIqtBnfzBmLSMeC=KzkO?>q`=N^wyoJs@R%>>_xem4l(P&^_Sm17Tc+!G+YYd$x#Zb
z#}$RM{L=@Ul9Y73Hvw%)XPnQVP|!1rBbHn}hF~FQ_g>V7h(envmCtAz=<yW+ou>E3
zpo00DmouuNUuSE}mKiiq!AByY(Geg{w5yuwf*R^uTlKZvCZin9<StJN6}lpe5+>@@
zkhV{)q-_`p?Q&dr*uF-EFTFF;@%Plwrz;%Vcj5@>Pmfdy=RFg!y|e$=M~j{Ft-DRz
z7!G0AhFn{fOkp6VMys!gh*FCtb{}h3MEl?MAKZ*Hg{94l4D`<lDE#*Uzoq?h$nnCS
zt7A`1;nZH%N}Zdkh}bySKh-UX+=K3ws=YM@r|h(-22DIFu_sB%`U)e<1N_|9m8S3@
z<Ytj}r3!kf=qV@~%ZJKmqdg>}OyQ-En-deeGFlnjbL+?zHpFXRORq&Vg+4{aB0qaY
z#I01X5jnm^gHLG#7Of_b9k|ziGgTh-efc60=`>Bt{}x^K)WZa{Z8MuGZL;XY>dEJW
z$3D`G!iS`cN2%~@o!vu3NCw%<wYdiI|HQ8S+nwGTK!w`!EU_a$B+!T7JP&^jOkiSD
ze{P-M;ZygV_`H#7Q6!W?m*c6tfT`6U>b-LoAj;~q{p?dAM4in}>(p7nT&t}_GG{U9
zX(mtb&hAF%BXnN5Ppx4a5>e>{1`G-&QujXg<U{EPMe#8=Hn8wSQAVnmF>nSDoJaV%
zQO3G3uE=c@+qm%FH&EXQEL7_sOSH2iV({332l1O&?e!?_K`%pa_80Ttv%rjWXyRF-
zx|<m5SG%-`bOXqpo7~TLo&m|75w&m6-N0<72}488`jEjF9<BG^7Og2u^<~Ycbu6qd
z)1Z-49}>-CYHEyEY3ZXGj1|AvFa>`yN5+0VxN+py)*Gh<+ASmHqU4EHte+|I;qqNw
z$P)e6H$68^tM{l1?c83$o}4lfJ3p@jyoB0v8N+`x&RycIsR}EY(RexOwY3h&^zmQ6
zePV$2<?nRkjMp;O>#6YJbeT4!B~}$)YWPY^ze@_4K}%RW&zmhx9&MNo*3YzM_&__v
zf^t8YEMXxAe~UkdYk^4eV4HHqJ=&GRT@Bvji<o*hqYukpO^7}<u7At!8OBz^Mtk~l
z5u<5ZzAZYa3Aff0XKp4mWBE^<W;mZMV$NmFijgf8c-zfiINa2QndydIhQ3AYuiV!m
zFLMfH(HOh`DE-8e+vg{jNJ|)7gi5mUTMb}kI`&W}r5|g}GJim;Si%VH*;><kc6v3d
z=|`ID5VmVvZjZk6GNzrsC3?779jv8Yes-}9WADsBmrP#4+>;H6XPnd_$V?|*>)t<1
z$}%SGk@hM!^(16bbbt(@sk#SVYK~*+u?iStz#4Ye@oI!s5E-s}K0JNp{UpX(!`->i
zwT=moxLd6;kwN~<!}x0&GZ?>1+vNQ-o7g6!TMVX4f?mzw4wI|1SiL#9pw46)GyIND
z1P7>ru#fpc^SL?fG_wth%tJaDS#{aEQA&jK)449c{TDFsT&am@riXuvCak3s1Sp8^
zWwPB^#2zta>c#Og!Uy)n&Q5Ittc!n&`~GklQ}}lH*TV=VSk0W`&`neY`pVcdeZi|(
z)>k6o0SgNZE|&b@9Kb`SEtK?nu49K?>MK$kSpkVqi?XPAxRAH$8y~reecZK9ZZ2Sl
zlKBe?dOJK7AMf<`^^WtLvg(PDspEvE9>>GS#c>cqWUTcSrw6+#{?V#+E*L*~n5#Zh
z1^8t`if)}{0C6RzZ|g?9P*SI-)-S38|JI_V|BNvL9s5_ue|Pv`QqA7xZHY2eJMtxl
z#4|%je$x$2$=%>Z7T^yvRfd-P7T1eRS)upeY+~Lk0nkp*+Mtdr0gXZL;kGI}>`&y8
z*t#YJY5$0^&kB{GvXkzZBb5_g(!E$Si4%e0<Fy&jPbk5Gnn3C71TJWFXBKoR7K0Np
zq2;kAN|5NqvlL0s3;Ib>-vpK<pxA#==$X0_@XQz6e|6)7;v3Ipc%!5tKhf9wf}Rri
zL|eV!=;nvtH^g;~MP<RdZe~x+5hZA6cTvy}6aYsaF|D&V<ltoYn@xryCHNDNCvln}
z1Pb_SG%u$B==n;;9H%nq1{$3^&n*HY*LItFepZCmD}U_A3zXq*@4)9VAu;f^Z<7qk
zQU+W0#bLeUD!};t2JdroiJhM7F7h}O2RDwo8g=;KAhQNPrkO7VF<Yq`{Kr)xq{oj!
zD8_@v(fS_eR2j(l^+)`^4-v-1&HoAF3E=;tt4X3?7Vhr5{7Au%1T}R2Y<Am3h)?>^
zk!>Om60U>St!l}@cP%#ck{}s=^3X-E*C@bo<HM)uO4Omltcv%hi#qh1AF(tfDnXOY
zmm!&C4G0M!ow?Vl0av7YxTeaK!GXupBF~NjQcNikzk)Quo6=h@se*%I-v`XZNecWH
zJZj8irVS3PGh-Gxc$o6)7yG{B3r%sxEJBzrco(bw3tCi#gg^16oiUn_a^c!#S66)q
zjXPN#s7?f^uX>VmR1>PD*UzRU8N$7zV*eebs)41$T=U*33LL5TmY;lS45<rSzTP{$
z`TYC7%j=31c#zoa|Mv_4`v_fbNF@oX@1J0pVAFtHk*vc^!BlYVPp$A>Cc)s>{)yfB
zWC&<_asJOC6YzJVaI{X6;8yB}q~xC+ed?wtz7#bDUb?HA^{FJ7w5ScVB;Y|t{0aQ1
zHiiEnre5Ty8uTl;s8EfR;6&<zw~MG592Kx0{qT(lTr-!lov3oanEtXlV80p6KaOJ*
zO(8&0!Pop;Bms6>wvWKw4DyK|al2Vm;m#mUvLaj%n0QmF{HSISSCa7Nk{u4JAEUEx
z>$qUTB~D0rhjaJ(H0UjaDFfNBG3GcQ0}zj1c8`B(3S95-kqt?Tz`w<3@WXTlQ<U3e
z%hWZ6%r{fE+8Oddckr@|^Y3KZcZtraUoTAHbQykXZ=o!-NxJ4K&yUfXo?5joX`6r`
z>3B7Fh&0eqByL-FFVkktg5!@?QbGI1ZzpIL2bGrR@!Su$X{P^lvf~x0;P*&a?8|-;
z$js{;^D1RPo@D_8?fC%r4kYt(^9w?WK~juT9uu+@vkCht4j}A#BgLAFAI2$>`Ubts
z==<Q=`xFBV@>g`T`mb?A|8SzQ!gUt(+|Vt6ai1~V|FX~cZ4^6TK6e>sdsvWHQNj^l
zPa`NLsr9oCFoE+cDL3P9EGXJ=?iW7Z5V$syKNA}0fL)98b7~O_O7nOl{j=Ht?tB}c
zH`-do-0rtkbl9>W?~MS)zF~ck*>#yG!EPQK)EArE7-vQ;divEViu&-nIpINh#Tcg2
zz<;~s3Nt#*=0h<*r3Yi5z4XeN`Z0qPX}LlbW+ZRsL_OW03(qV(+UXfSVWjr#IsflW
z2-~&!?HrFTtn@s7L%*w<Cau5x<3&Cb3Y8g=Svsi$mtK%tRQ7bz;;S;;yQ7&<SvOlw
zXp1&j4|%-TiR-5sUwiOlD2xfQa`frnqiDmKCnkGl8;5D<vc=}%Iui=6`$*6!(1OI<
z1*OJ86SQ{2q_L{^Oz3plmwn58TA=Ar=-&KehQ`|#kdP|Nj24#18lEI-LW6iUld;1*
zO|$m~_hue5k}G_L?3grx_>1#x>w`s_IYGN_%ZLT}ytkv3$5WtvhY2G8F4N@SrZuE9
zup+w4tm%#H6iAE2f4nHPMr)T<+1ob3ioUB!YDA}NfMNhs$61pN+Q<5P-GiHK=-A}r
zoN-wVaF1*rJ`}V?OKUhXs;R?)h7L6`i#$;WtNCC?*8_Bj$IGwsXf7u*r}hL3+o*$~
zQ$+69D0=h~-_=URaiP}h-F_TnWN^O4{XC_7=byFteq8>`jhyPP2uWTe!yo4qvGz$u
zMAf{oeAbT_wZ(9jCsN38QT<EeH!3sAOU*pt9?6Far9WxnUy%UU@ImT(84GIjm5fs_
z=0~a14is%=5<D?muwo#wAv(wD1F_?~5ie?z;>uM69Q%mpr8ahy5n6w1&0Y|(+%LFS
zBc=vPXFYw>QaDlHXE83fuR=)ucu(fxM?^T0bFSl5AQuYz8pM74ya=KfVxEn(BtjxO
z`QO2C9>gn3(fDa0hIak;F}7iY09;Fvx2?K(k(?fO$VEp2$*q6o6MjR0&`S+cx{Unj
z*#7@|?QEn_9GUjz`&|Njz>A$=x7>{qydDjm+9QKp-8FI^WD?-yv1w29M*^r%0MoRJ
zkVQ`w#<94E1Q7l>Hg`x-2x+wcmuNtfL)T)54SISAaONN!k9aAJ{>mskL!t_3`$i<|
zc_I-Gpi3)xXGGD%9<jHtuPCC;bVx1R=`HyqQ#-X@9JxOJ6Y9;Rj2=G|r>r}u!Mgev
zVwbuk8g}qwYrU?5$g)AFtW-&G^ZD!{KVxacd->d+4Fx>9+)-9(FG&Ww<du2XS{cOn
z{n2n@lPZ$9S6>_Xnhb{S&+O#7WD%o`!s?j=M0CgXnp0qcIu!4DO{>_JL#`ZM!BhQe
zs4G_YlI&>>&{<4p_oOJGyk*x=vML!}o)+O545z?a_R!Khe?_F`zQ9r5MMlvIhx|nD
zYXV!)5v%ZGCB*pt#oJ*Yb%a$n3r#F&foUF2T&PDGX)w}>*?v<;iaIwdCywa=hu51`
zTRI&2x#Dt2Mpgrv=NTV;J);Zf_@*B%2;$Mf!ZV-e3^Y(;s@wA7O?|*BpAxkARMDtU
zAIW9sz8Uk6;Q`DL9#m{J08&7$zl@KnqO1*L%YqhlggbO5<kz$j5K6o&xU&hUvF2XV
zWdn6|D&(MGWhMqkIvICS1c+#MNCCB+CL?!7PcNA?0OrL-5OXG?aqGW6D&1=6hH%|J
zI}0kb#)sDHc@WW4wG&1;rwB;5zJ)2~4;4bzl{xUrL?mi`qB`vv4&7n6a&G*X33%A}
z{5MfWKws&L-wkvqp}xj0cZYW-u&JuVwz;l~%FG)-ALx`vpQfE1wU|tSR`S<PnO7B+
zsBBCJe3L=Rmojtz%I@%~g=mD@JPt+gl0JEALL6}wXZKpmm_oL}Alb4)1;uN)vF}L`
zLawzR#&Q`<q38CVsx%8_^dtOphDshEayV5|^R>kU*m8s_PBtqdzVrOr7I7S?+##{+
z)Fl&0P^zj}p(>!xuw3JVD-5VKmYKB~ZvvK<thk0+IrKjO009606qk1()$bR_ZL+Vu
zvbng%z4rbbt09pjGD0CC$*QcZh*Bxp6^WvvFEZovL6Mn}71>)xb~1i`|DHdd^E~G{
z=e*yqvnP)pH`4rz(we1&ur=xdi@(XTij)XupngT~;-f{>J}HBL%2p2^w$N;*pAy1G
zyWD6A{|%sR?(O@hegjZwIQZLK7Qn)EW06}&y%8sR<D8;E04~kA_~e(o7<nAW$v5x2
zk<)9~s}(u`x-9c#8X9h_GVG_`>4s6HxA#6>IT3-%5}8=rG!86^w*HdKl_})-m2?i&
zLKilxDg~ZiWW#E;H9;Lei$qYk_=yJVz_Sw9e>xVd*lpvgx~o^_5F`FQnTPq>FkU;x
z^>mpLyBgyxToXKpNJ(1enU83}>1(t7cb^@>k~+T^6ANb%l$!TJFrOA&<>C(!Po%*L
zG>HZuG-r^yS3d{WZ8f38&1cePni8v2usJ1pW(wJfzLOA>tpO2fw#Ij($uT#}q}pDt
z3B(j<dtrS=9jxyo%I?4R(W4?Iz40GLk*+nBXB!6UAoMl)XFKU1T3$cAK5R9FtS|nK
zHp)<gCu1S|_WN7txwkCmG>`Wo9-Bp1v;L~W)ESkbT(u39HO$f^T)zwP_v7Pju~mhD
z-EIEwU8`t!dpOqrsTnDtbiiWkRA4JSZs_CJ6_lRg$oK`-TBMio{&$|73bg(@!uXSE
z30;-!@?{bGh%kqf4E8dVLHp8p$1MK>8s?;DLQ@`qnlvZT+OR4^Unf}-d+sdiMM0)L
zU{r+47ZDz(#VCR3)*tVX7t`q5dKxbc-C9&_U#v2NLJ9l>SLp|~C(!~h?g?RULIocC
zyXl210*@X(-ZFmzRiZa`d12jw-l{BP^Q2USNnQGj_wvTkLF29EP4*vXqcXiKMJx$+
zb{5nvm&VY~>RN4;U;0o%N$Twd90_`M&vo?N7(;paPGgt+2GLd9G<vodL=YHQ9M_W{
zL%)S@B(%$ppht2n9313`5J+3#)h{@P*6uB&@dl5fe+{FFVRsZjOs6uW85u+MCEPjU
zyeH6gZhd2ee0gA_+8)C{97A!O{4`>>r%=7fih!w~a$xV{&DBmjj*@MAc?YM@p#Ea9
zACKYW;FDRa>xFmYC>Lj)iSw^Hw7~Cq>dDix(Dm`8C(o@3RBe(mV$Se4`u4(lPWM9s
z=oR@)kb6y{j)SJ+SNoSx8)X}twjLQ6fBm}Wef$*q`8C6k>Gu^BOX|%O6_tUX@~0S2
z^-rVI58}nG%~sKc0w0xnUuiJ(`-$b4&7zy^%c&A8Ybf5FMIpOc3Ir?Mg9J9`(9v6I
z$NN5QphilByedg4h<)9H%WYpk%eQSgCth!%4o>Zf4EONxuic}fduS2u7W0W0uKSC&
zUb87rS&{_bsc;q#wiR@_fZU~rZ5LfwZ=LbBkpv6+NUb`{Kd7f?d`(@(KKkXkX!yGp
z32<p~`K(yAiZb7pxzAfnhUL9s(DKlifU%Yq-d{%R=uXk9J(U&(7M8_hHCiJMu@<2g
zMt?WZSFNwlP0vwc+1TExQ+nd?LD%`<!oU{l6PZ*xTu+VJ-FZSr)+`21-a8_}^MBFM
z(6@tLZM0a(SVzg#3u0h!N%Cb3X%|gVQTY?bK#z@V9<O3q5rvY+k+`AaeH1IrZ@d=C
zh_(3%6Ve}w!pH%~Xi*gzmblzWL9WGu`SfAszf?qFSW8UOLXQGVq_V%PBY?v`IZVwC
zOp8Fya|(ltONaALuhV_3mJRc0o$PIWB?2d9m(4ykP-8C!{hkpXb6^e)c}*G~BCvOb
zruRWRE%qR{-S+JRE^JG^x^qiU1Sq#113c;JF}d~YOKFunSbBfqD?Mou7?Ci#L%73;
zSsQ#3S~|*)bzfR+XcQ9x(eZ0Sb0ik*68BfO;L4*IXNIBFS7i}MOb~+ub{sbC?mqbE
zq%f8*Z~vClQ3P-<>?iz+*|3kxY2R~uMKG$1vx27iBH-%Uex5y$1Cu@x)Da&ghB>Ou
z-2A~K3QU0>c6Z&mu;3=mUEOmMm``L?<HmoYaG5hpPAi57yLIh6$<GLnz17N{*$fr~
zvvfgg=;Fhq;;c75o|nclNKbC@MTo;E<FS|nlcQL;%)6nUC<3<KQnr)WECD<37Uws%
zgfOPJ-!8pumcuCg%2-?+@xX(+)=OU%!JMUjl^tOvVrIyk4yCCysF=r&)c+R6WV`Nj
zuW6I80_p+y`J4cE9?Oi_M~P#!*<GH#&Wf14I+@z73-Z9EGp#NxD~WaD-G4R)D`EQ|
z+8b295aE-ZeS63-9_!(4_glHGj4gAsIbBXx1e>R832RTKF&{~)yrI)7*ze1On(uOy
zLF7z@#E3otbNYiFtj?-nu>mx-ee<f&BDE_MIwFe&<8nJ0wNx=SLDzcuiyH8){au~3
zojm5<Jg~j2tcv+<@MnDgqXpV4C(K9k6tHN0Vu^CI3g#FvACmq=7b;tv0v_2BG1&^K
zo{MYB*yS&oB)>#}v?mDngK8p%resBYD^$YNQ$?q7ZF-=AMHNQ<A!11{mfR+26fuQY
zMAiH$ec0?KCw8n6v8SAv;6*wjX8-%wGOo)2#O1jdSnG(G*Qa;y#-0(dmFU)^OZN=n
z+Ox5mn8UnfJa$X{-ICb-AIuhgR7UWQi6`vT0|iX~J^2_7l_(Y$(xCOr&<Or{dU*KL
z$zw9#c30NR_%J&6NjPI-1QZVEX$Q4ru~Oc$Sr%3{Y$NYo&76o4bYDnYXI7KJsQ#Ti
z&5%ijg%MSCpR^kS=ZOpZ-V9RM@3q!UtEu0p^_|^iHoL?4!Xwt<CJ8K9-Cd({Xat!I
z%voIPHUPRH@6h+*Vi+N-G>ArE2Z^`&R{cTO0LaQHiIgCM(MWWRYDrT;MQ8a<wQPMD
zeZd&dA|!~JT#0>Y9D4+Ye#o7kqS1%uvoj)ZS9meknpE|e8%*%0eJ3{TnjSQZ7j|ot
zabeM?&Rch|u|mD~kMghq0AhftD1{{(7WZN7e#|N>+zI0!G&ccw&uGjEQ%o2G-qhE?
z4+n(2gCV7O1hlVGyMHaF#k6KO?fgFCV2HT3u<%$Hw98a&YuP9;>oN7%<SHCQwc?V`
zXX^lFp`56`{TB_);~u-6i-Trb`{~qrZGf)sU(@X?=-jhF%dAiw)X0lQykF6R?bLMa
zDPar^6j0avVu}M{PQH}e(pqrK`?9opKrtHQHJ*zI;lM&H!Eeh`6Q+x5`Q+ky5Z&o~
zENYV#N*9KMlq)qLmon}5ql{^!kwiRpdw>-l@$g04vueQIrz~yBSu04XWur@T3oA^l
z94>t?b$BY@xNzyl2C^P2=cL%d3XRv+sG5GL0ikc{>aEVd2&L>vwW3*8Fl~w!rqWk~
z7uAXT9zXVw^{DVRj0*>^XcOsqN>yQcDBynmS2AcLR<qr(J&gbSY4?Sw3N|yG1m{Q!
zc=;kL;Bgra?3v{`NB&a*|GOJy0Wws;Y&}0-LtumH8>b(g)j0Gm_z<SLT57mWpR62S
z&IYwGzs=vM3~s&&*c~%kXyT@&GP}qQOkO!g#<t2Zw64hDHb4igpGqAvj&i`9)Yi+r
z4JG)Bm2%cN)5GP+n2nK54xm0iX?i7D3HW;Ymu)v0!1?4FdD1*5&{n5YHzP_=@w_&#
z`Uw+A+kDW3zg*zPaN%*_vLeLsj^P+|Szw)%(0oaZ2Q(+GI!1F9;dM#%50+3?n0rNM
z6?&BycKbs%Z@DVMy=5xp6K**0dgie})5-_SbX;>k<P|{>FX(IKaQM#m{qa_(1Yj}n
zU)6ImMfh>1rS6L}J9N=56JE_61wnsD{%1oZV5Gl@TffZ#e{(uQ2Q!5rQX}q8QauR-
zU+{T~W^#f<n-G{+34`6h+G=ts3APYHDaU>;I6;vUiz^X<&~$F`{KGh&HtzAg!+Sqp
zkni|gAqp>QUb}65A;IZ`n?F?}c)_Xj<@e1NG5Dlas8>5qf^&6v>GE|xV8wm=6gDdk
zs;?URZE=c_ARiXK6DR;LG?ru{nIyq_>3W~!Sw)a$8!x=YAqXsA!)y)J@vs|YIu~(R
zAHkMmwqlqNP?!*XO<bhlKW|;-dKM+flO3KFs}Y7To(K76kEOxL>X$IzBPB?&)cT^C
zEdp~<FMb{^kpY$NfxR#ZWr!3JTKF$s6zoD7tkatbaIKocC9PW-IQ}U!TniF|7i6iQ
z8e3%{W>9bBQK||U3>Q6UzbXy^PM@y!70JPHCa1vf096Q4n6E0blz{VZj$69;$;0o@
z9C$x>HQ1c2ym3QI5-uR~!Wf+bJb6QVjM7IPScN`ZoaMqpwNJ6C<rM|^`=-&=D^3Hl
zibv)iP2dmbi7ZC#o&w0Km9F^}YQiN?zJv4(DL8#y!nw*>0obZS@m~kEz+y7%sI-nW
z$b<;;@o&omCEZax?-3m^6=VqW!=!<$;$9RR$V1eBL4U6kb>Z8~JTHMm-&ZS+s@v(v
z0UwSq=46b3g#N((<%=@#e1!JK&KdzUy&~^^#RIV4R5;@2BLg#=b`u&NG7xr6)HOT<
zpuMKw^@*Jfqz?9IxO|X;@GG}=+{pBR0_zz(As_>@@33!#MoBnm<4u({*Mo!dfu{jQ
z(!g!$Gt=B44$RbUize}U@N3)Z*+~&;5V;yS!CoZ_>>fI!gc3anjn_>P_LPEOy**N1
zMZ$296MvnqK@UP!oARua@z4+^&oSqF6c*e!kePZtc=f))p7E_DB>x*cxL?5wk5fD%
zJPY-}&_^$+C0hcjy-gk}9Or_v?~d0$#OXmg9S^0&V{y1{ul9^fnjIvKTSgA7^gyYr
z`rb)jF_<3j{2u1Y3Z#pMnQgp!(74;lLw8mbu<l5(reXx`#sl~3T>u&b=hM7MA|Uip
zh$Om63yZIIV{lOb#-Hc&8aRc)T-KG-KaC2wX(+8;5dmiOEO%Y01%dXf7lYOmIk?hB
zhCMAt;9sAkx6LL$><p`133_yZtm5~RzLO(RAtF~nPss-j8Ef>vFYh9iiL@0&Q(d^5
z^?_?rp6Ae)trjTYcM$5wA{YG9bl`zNkAqe)7f4#3GcK;!MoiW|wlB?SgS!70XP@63
zK-MLAZGUeIsY+(?e6FSqO#dom1jE>&N;B}Q)4&#T%tWD8Elvw|aJH{y)!2aGW+HG-
zc^h#x&9g^FH9^FDQI8IX1Loc`>L)wfNJszQ5=Ko;NQ?Y;rks%#L|mM=aQr*SMe6tm
zKa({;w&kYwKXYb4h=0rnWBwsVWaksx|EdG%g_-w$V}y>3uXQadd&tXl3kxzwb+9-_
zwYU+;0A*|{aTWpxNL{6rM`*Jeq<Hwn>AKJZax%^(IgJdGg8skH)qrA~sXsI72ndQ@
zWn!%%hcXMVps4q%P!R9`LZO!qm}y1sT5VB4k?pRGfVe8me~3>aTG7GTph%%jBP!_n
zPKp)FRDm~NjaH?o>0ta^*~-y;YT!8G*ziVJ1%fu(&8C0R!m0OFhEK(5A!U|5pz_ey
z4gI<HIckI!V!xXyr<BqG%iC`WJ_^e4;faxz4;>xw*;=y>I?+RfU!MPBwGs?i2Qc3_
z%q!cyk6e*r1ZC6p88dSwXq&12nbblDi<*5rDU8e@aBNkraZV9<7seY+oR0wWV&c<i
zI#yV{R2&)?qX;XtV-%-F=pjw}WUiS24*u}u92t^PgmjH{TqXqrn3k$j6Aaj(I@xZ6
z{s#%Jh3^}s(lLV9e}+d3LfPR=0POiik{~wmtYeoF6F3*=e!Shm0m~_E5%)Am(6?TE
zR`M=0lvHe<Q`F=Fqbs?s4Vy%$kIkOT-(!Ks%>kX8)!Z=FOdHrxMFi@Q#RuoUvqE-%
zbVaW%FK}MLi>k&F!O=0}TT=-RUP}EdM7j9kB2O#JhyxK&<0tp_3fUl2Q{L(NvH<X&
z_B(h3M4(d**+*;H!LiEd!Ov+y=r3(4PnIRZL)uK0(RmJVQ=@tGEmRmjh$tENi4#FL
zpKVK6mJ33v_v_kH5BUT?@vK;e2u~^bc?r?nFgQZ=llmeGCtixzKSzkrqQPDt{Fet-
zzEFH;+Y<w&PEkr37b4X5*OM%x`G9w4a9Q2paDV5Ft}r|&0>2MyN`|ZeL=gs4QW7O0
z-pMVGWsV5M4BDZ_g`+Szb4uXi5*|uk-br9SMS@I0eo}dz5R5c9a$zRYFwR$%HGHUp
zeFg48Eq%feW-O9AlrIBud9ut}){4OWB-pdBPXu_JoyyWFWP!}6?^q6v63mFD?q-dM
zLTtW7PlkycWcun?=yWPUE%s%j^tTuouS{gBgvo<s;!tE_xiYNZVyOQ2PaI4MZcTAd
z6+lTmG{*O{3KW&_6}&zo3AcO5Z%*kD0Us@~^LkJf8g6YfDdF&taEX-LltcuQ+oQ@V
z_QSb*kh2@gBn5G0QRiygiJ;ozGBN3>0lt%#Z#%Z7K)z(AFnE**O%o*Y)@n`oCGtp%
zp-md(X(~%Y8;KxZh7->a(}p8((_=nT2Kwlplq81{A+?T@93OY6M}F}#=G+9RHIwMR
zKu?4tQH)(`v%0{77huW>CqUt?n4yJcc>o<nl#UM|zwp?gd<_9O>@9u_Nz1{jf<TP6
z2;lZD;d22^1mHR@{7+Py06}jk&c9dF17`7ybPux#;Hw(@(v4LbitR3$9ebk(S+bX?
zjE)iDr18h&uH}+IHFe^$^u8Vt?ubpOR>;6=+wS!J<Kl4NL!$7fraqLpvbmP+Ny7&P
z{qTrR5tuw4+J4ktAKv_-8c*kuhF*arn_HcNV7{(THs+!aSpvlm=2)b_hE$qzSCbE(
zo7{iKWTg*eoo(wr^OBHxWu>)sixbx39^#HE=|h@>l(2W91Q^9<elO%_1D-#+oX__T
zb*istjo(!q@N<HhxtEyW;4}YavkE<k9`ToP;1mN2YDc-KKw3DO%b$1esvb~JZfwTa
zA96qcy3b}X1r!S1IH!iw1CGY~Mw$V_P-^BR(_XWSB$-CtSUIelGiOY@lCvNvFwe+&
ziEbhRqMD-PX8?X4ozvdk;0NE{>k?wSD@ZsmF(P{afd`NE>5Ja*g6Ox->|kUbp%qxY
zXUK|xmPRsJS_n5tysP;rUptA^LAO47{O}*m?H%q0a)N4C+23&d7^1Atxt|iQ1KGE{
zv#B!Kq2oEv68W)V#3yAna<oPphGOsm8A~|esi^0C+dqVS9KT_9f=nAUE7i{Ybzy~f
z%nSp(aleqSeoTQn$F$&?E0G?dXNJJ_PVxBV5yT)fpnd1DCUC#ru8@7k0R5sP!kv9%
zNF`lAWy+`q#AUXq@?SjyX|7j_p1~v%xOg&<Q$+)s8C%}$gwp~+W4xz}V+I)s<NW9R
zP#yZ&&EmrbsiD=$->^w%9>E!$W$^y32Cs7G+|J&hf*4-EUbp;3BzA)3f`FMC484xK
zhDRvj{fPl;!#67k@ibJK9&(BuZP=A@pnyv>jCihuRisa#QEE{{6_hW{(C7G&gA?yd
z7T?F~h|X8et&s#3kapy5{MA7QRv&j|vtDl^O%e$&*l1KhjC@$!+?ovV<%+UW?c2z@
z{Szg>P-S>4aX&?fh71grymy{6|3k!NTuZlhl%TkhLn5K@05QEoS`2pELzq@LEE0p1
zU?u;|*7>9Z<i&AqX^N2p<PmGuD<d)`C@MW+$6S4Y81WI`9?>F)2Olr)FvKdtaf7u>
zw^+$QX!y7eXDS7lhv#<v=2V1*YAfF@2QuK{(5V$;qym={OeSl&hyH(6qSCUJ3?k08
z4y-0ogWNsB08yI+y~=@YnwI2n%kn}%pf)Yc4y3Zx^bmnZkf9=Lha6s~mgLMI&_TQS
zcx9C@5!^i`&h~z$0PgMx_54YC;P*<|w%{THU!eI%pA1S^ACNAxTw(;)sfo0kK?)FX
z!2Zqd&{tXHm+e;zvw+Wuui00B$iwZpMD8zT)DS!(FTIAc9-dblD5x$E94}*!32o9q
z^qDWZWOQu6bv-D?`i&eY>5a!pAL?@D$xW|fcXrsj8T*o4Ob*ukeG^88j)2^!AHF9K
z^+$0$#E|q}7S!T15`$tH;QhWy6m2XQXjo8}C>hE^3soq|+kpu>BI!t^lRUsa_og}F
zHvt}25WJk6Sb!qWSZ_y`4_5xFzT<sEfD1wBOQt4PxV;tc@2e^RGmjq9%=#0+%C+i(
z{tgaGk==3cD}wNuj=$!HEdgxudu<wx*ungqpK^(#Fhp4GdBocgU~Qp0nfU_;c=pVm
z%6=sR!xs{Gg98X~d}8{ZABhW^0_-F+{))o;MInxrA_C~8f9{a|!42bMS?`ow#KAhN
z&X$!!7Jj8$XG<sXg4K9~=ebD<m<gLm4tOC8<)^6W_HOb6=Vp>Svp*g-%e*_qt>hrW
z=c9D-?V})x$qhSj9CDUjWx#a<c@VCulgUXF0-Nmp`0Z*Lkh|Ox(C4NAftIG~uYL;y
zU&!*rj)yF0HSPVn;!1?DOoim@yrNK$N@j?0$wRG5{c~ka5}-eG`97M9!J_R+hP)C5
z@Kb^26_O%s`&&&#KM{v}hA+3t4|TeUCr9dtnG#%73$2vwmjG6V=OghZBp~DSy*iel
z3|jLq(kqYR;lKa<40Ojx@JvhjiO*jZu%)O-wy~FjX<T|PcF38!(U(<cBGlj#aZ-`}
zkQ*6m&E3*d6d|7MPN%-K2E0P-HmM6_AjWt7NK3vVL|Tp+OHOG*!kPW_w*>?!PNE5q
zickdlJ?ij=_u9~qsp&5fD+@B-MO+O0ia_CQ_FT$O7w!npkq;`%!Hq6Gy$~M~1RIA$
z9bz?9|0_#a&69%@4x^*KaYT46Rb?141<*@(!tr2C4sf{ghKvq*ICsG|nB%1$%!I#5
ze9|umiS34DLNc<zU}bOOsG|>vLpNG*Uk*&9GbSQ5q@g_AM>4reAEJj?@pQX~{i`r&
zGr=bb`@8i0Wn2azIKg2<BPR<3g~K=c7DR#hWF4XYv;o8ythU}2CqPukkj3i+A?Te4
z&yP+9z!A0Db!lE2RQ<HG|9i#@MK7dY;4KZH?aX%0NQ@K=6r_#RF>ru-G;)(o)&S0K
zdMW**!Nc@MQ_P+aGYqv!cJVFf!%Xs8b=wUI;2HQdYUe@?uf~+yWRvwFyV+#@U#A#2
zMi0M>p8AKJHS|Brq@oWShVKiFiK1W;_G4s>W*Hf}!@|Yfqz9KX{5Q@g3d8565y#k#
z9wcX8rDF8F9^9XKx-?2B2oFd0k5%I9(Pa8#ws*$>E+ur{6J_8Bb%*ZW|C&e9eOX@$
zQxAX$85NH{RUX*hQ0=u!m_yke78OPo5J)L#9$`-4gg31Zif3Lgqr2s$`%2UZSSA^t
zXcu6I{-0~U^|gOc>5ZQ`;^Ml1mnfaPJje<uW4vm9-&ave#s6lLPwGH`y@8Z(Dicgq
znEG4Dt)aytr-b+XwGVYM&C_t?2v|<?lJ8Nkp^smjPVmmt0wbmIW!)$m@U&gJjSpEx
zCGOPx?wimAmg4q3tw>5Bzhy_E{P7Q3!q-^1C9Vl?JKAK<^pb%B`LFGf(iL<hj~E=`
zsR6t!st(#qyNL2e!Z78DW%OC|pXXwg>cF>aJxHqAMs6BjeHP8Qh^n>ajoxKa2cabq
z<!dY(h_)BixAe|=6rY;<(aKc~!k$E(lkfS1NLr?=biJ8H`6m8Yoc^K;^3y^3VKhrf
zHt<p&NuNeNf>H-X@Tx$kuT`xrFo)a=O5SrQo<yn7O6ey*RDl|M-)_F%NkpsRdJNU(
zIC@0Tg*jkH85DV5+&nEjhRFBJG7Y<op$f^GB@f({!TSsUfluck!sKG<e3WVw<^L-=
zSTL*vnT?`XMs<3TeVYwcm#kmtEAy0BCFhmE&0Ieg+&Yny7xL{dJR3x7$DLPicPYYz
zm<}hIXEUPiBZ@MP4WN9NQigw-D}wxB6xu3Sk7T^8H*N^)N4=<xMd}W@iSCSmj(11}
zlIQiMF~qwM{h95aPj5?tnLFR!`lh}|yj^|-NxbhxRmK(!o=*}X&B}yZF(&~Deaj>@
zuF#88Y>XXux^W2nfuFcFpC_PQv?9~W+dU`)H;pSoPJ{@Jg==B|y+zsVH5Yg(dQmfL
z$=~`?3K07^xA1dHG5ULJwnp$&FM9L1d)}mlJQR=HueF<1qIj8a^gf-vsHUIn6Ro>)
z5Ndx)h`}5~vz5bJmY(*ZBC><y!k=Y<HI5@_$EqF`QoC*^{-hs0;rZD8`ZfXlmgrio
zPc@)3LETU7S_jbbJNVm_ngm$A?5urPy$R)-5?RbN7(`tKe0nOwWMJ$ob-^&96?J;;
z{22W^gtiIhRQk0_gYsGx8wKe*+UWjg<jkL8R60F!2zOK(+BKc`!=*b>H+(b0NYW@e
zsIBDV=OYENr0+}??OiDMyifV-fid)d00030{}h>bIMx3f#;xqlvB$CZI*vWgZI99r
zA`PohMqe2bNhK*FR1_5{DkTk6bUsCq3Q478WJH-MLdNg>{{39f^?9!Mc<$GIU+=4Z
zEY64DsG+T3`L=yVCw*1VUp&KZkX~ln+$E)@hWG1qtL}t+q?2e-QI|gr(KR)@BDGGd
zVqDXUn<KP~zC*4<DWu>#{oNR|=fznS1Qu_c`J3~F{zsBy*WZj$dYwrqo0q=|($1JR
z#*BZZTUO^@pRWE%FW*%d?eb0;cDEl5cOLAc-^_oReO6|IzVCj2_-+SfgqtgHOe=k(
zpLY5C_I<+?UH)e9+?9GIxcrm8{P)%XUGjnO&YM2J=!;vJyQa;QP_O>>%c{>1{YF?}
zfz!eaz533Sz58QD3^)&7+)epT9}B9wG12&kPH}u)^3qxnFXQL-&zX(VgREP&+drG5
zH)^jO^=wkWU$Yd}*_fYnm67)e2Y=7gX^$Pg@OdcU(4`-HDdXexwF0+Py#4>thay-a
zIflvDq|owP^6C`5MtF0aozMzhMfca;pae3k4o?01w(%Fe@6iZJCzXi^@pS*`Axg%p
z?fpe;^E31)iz}tpnk+<*mf?iXZh7$1L*A`@{fD0W(f*mi5-YJZWUjVwTMl6j%gV>v
z=IFZQ%J>hfYY5ioqkUhQ<giAMFX|uH0{t9!`i2;DPU3OsMXQ0GvbeL)m@o72KYCE%
zme6li+{9B`6I-u0GI*roVSC4Hg-)S5=Ej8a5g{*k9q4kBLA0A>pw%TNVq0g8XqKrU
zQKxdgKCDw3^?o1S{G3^ceOF>SD+Yy#VfC&j+0oKCko3eWRi2GFawH}1!V?j~r`qtL
zr<OFz%_mYl)Y*w|y9O$*G?IvzqZeG0m!xp-PHowjU{2ylgLJSps|3L@!#h+qE(N9X
zhO`rd+yu+Shhp(WDI$LFL5ID}(vW@R`&Orzk7#(WBim&tOIR996`i+{hPAR{OYCMr
z;tWf(|1ohgVXjit7xYjX>nXnEv&%w6p7|!FAGHdEOz=c()ovL`-Eg{2=@21~b7_~q
zPgWvoyLbMz@t1|R=)3)Cog|{*y!WHva24X$+u;+d_vG+c+F9uehXhgG(2+ZwqDJ)R
z#e5MnCc~9w%u**pia3-eblAR5gQ#5D%Jp)C0(Ree8e+pOOLVc16yKB7CY(LFH)~WW
z!l#6tzW7z1=p3F4n9tKChDkbG=65M0V&eKN*M0?pURwCPKS!TvPH=9iPEf^{;s>X1
z3n>xH`)^Wy_8AZ_e`YT#EUBZLONHQQRwkUH+XPiK3<;xvwIqi*Ev&zOa3?88mEhwm
z-4Y#0C9WLXn<T$q4?j&dHops1Cz>69w2dA%B7S^#st>6%K%dAy%YH{qBC7kE>hL~e
zqDOmj_7*D@;|EW2ZjjR^MDLt>UQIS3ZrarEWIkmK)&B}7P7UY~+qa~-Hz%49SIT~0
zNO3lUy13k>(xZCBQJ#>(!%-&0i9jjV_ga>4e5U+qHcp?ocE)7iqZwo3B-@nLKUo?&
z%nnDVaT^fN#S%tR{umKmR*A|A%r;ofC=+<S&w#i*WE5BuM<v?SgkS4!vqi?N@Z6@W
z21NSV@-E783PIjlB`}<2hoZ^$4POcki0=c=hF7Wjgvg;y_CGW2L7#eN%j#=DeDoWh
zen-<HJl-3aJX!02^Cp%acY5^+x6^7pq)rv$&!@y=JdF;>tYh9Yr=?HaB}7xR_L7Ox
zXNytRe;rW&pNL69t}bEl&EQj5x)^aXk)1N|(*f1L>l0g3w29~8Str76xrvH>tBZc+
z4tVc-bkl&bCQ(8bt*}h`P1lYy&R%EXfEOl32YH&*2-lf0_v(>;+R>=Fyt|e52#6hR
zk9JTYj+OV$7TT}Uw8QeM>jdo~_&mv+y+M(fJo+ti@CqlMeoJK;54OYaDUG|0Ze)V=
z)BV=7H~|#*e`G4FvqjO(sbZ6F(!>q*NcI>DVU%6?k?0_53sI_y$K-BtA}28F-=}#I
zlx^(DUl(PA>5?5!Wlcng$Wy`3UrCeDUKuF-stYKdoxf{Q$xkeFC(8&llc1^I<aNgx
znE98wQSvMYaZ;l7%TXCI5Ct(E-p6QI{33nFNsgI_?EL05LlHyT?GJI|>DFj^8f)L1
zK1aVtjY;++i($#6ZQJA(E3AqhdeX==N{`iFcvLV;g4o#P{+T9A?As`wB(%Aaez=$4
z<Sm_q%iqtEl9nwX<8%8#7x9Uv-m~ykE1iUbldQ{%us~Fv&QEorF`8abUF-oL5;B6S
z!!MpTN6XyqQ$pT<Xq3;w;i<+X44w%bY92Ae?w6K1sd0<6ZAz|Vmy}7ML}c7~;%bI2
zxhUm#E335ebwVcwR7q$wy4!WP+7!NyUdv8LSdjhk{GsDC5(EZflm)a*v8g7bXttFN
zpXt2K!uv=#^t?nhu*?KdYM|Rpv7^CR*X{Hp68P^W+4^dk;6%kElJPhv{!=DYN*McQ
zd^&HUq1qVkNsR|3Te*>-Tb=QsKn%~C<)V+d7-P%pnU1(ZUaWMp4=m}6qyO%ZN8z9m
zL_z~RwRiACcjxUlX9mPElpJQPkZJ_^sh+HAUO`M&db&s5k-(L7gFRNdMkvZIiXHnQ
zh+W;=kDttwM7#W#pSpci)bI3_wtOXoPfFpA5AvkoE1gyEm`_Dg)VI`$3Sp=xFM2(=
zBaJO*C>KY4s4!8Q$zVS(0!ueT5_LcZiTh<5PAXHeE+X}zd%7rgw72%u=*nSwCHlj|
zc|&l|Yd;Q5CBfr~nt4vHJg#RvKF#*Y5HU4dGtXp*f#yFp^&^c8HGTtACBhJYIDg%l
zzbuZnyJuWwHYuRF=0id214E4O?!O;PNMOCkp6nCKiWqUxp>#YnM3J||Na>^`!k7A;
zNz6((>$fLzO`{<!zwi9pt|^VC-rx6phLsQ;y-?`XZ-|_C*K2-9%b@mXV|7-WGFlb+
zC<#1Nn1u-oU4J8s?r(p(Q|nc5ndO33ydxEcQ~N?i4dmfubC{A-p^8)Kp$bAdR0xW{
zj61NAjO=@Mk!b~LNHdT6I5SCwkmqb2g--#suOho{A6ADz<+5_=b|ZW}dSmv;TLoz7
z4$nQ?t^xC$G2e(@Bebmhtv8URh?qSg&i}MD;o{;D>H42BDu&v8qurG-`X<Ls_PZu7
zI21R&CYiwg<Don3BFd;^zpHWfxE5w&0{XdMo8Ug)R0uKF)6lST^csgYgkJPKJCkLK
z1>;jc=tosB^lqJ3aiBIP#p7t}{LS!IQfSYjjw%%FCSFp{YC~Yyjg)L<4ws0i?FU;_
zF+Wo*_vpMfj?3+iZ6;fQWpK-m5l=Oo>G94y9juKn7JApTIV`dDNWlAXh97j0E|HFA
z(MIL{ZfE^*OAKZ2F%QvZtUo>3yE9k|Y_3;7GrhKgsY1HfssGfGHaK0dl&^_u`~8(S
zE?Hx3b7?%=1$9KwrV@<`G?1YgVc{M?!-b(6mlaFZG4I{;>tVP$1X-Q<2~OZjlk4=%
zX>~k)>h2#Qs|Nc%J7{?TLK_luJ+`VtX#V;AJ9kxJ?Z>t}d<K|IP&&uNp$?bUNY_ez
zWxUbo4IL$b;m%jB$IhuCD5+D8t4tBQ+P%l__5(@AMq(5mHHdEtsMV5HfGKacfZZ>k
zN$^6-YOpFuz32PtOyu!(pFpk5Z=lp&G+-B_-{hh7@9ulbfIp@sL}>)@=5~uQ9970z
zHa;>_u_QE~9ZSq;1@cx7e%-}5$C08A^DrfG#9T_!Yq$xth;t||87ZMDd&!}GP!xZX
z@|`y%0pZdUQ=OX?(eJ;`vS(Nr%-Pzfo;m@UyRvPv_bFh<%B5*-Eg^{B?Dx*$0d%fe
zEgr}sgA#OPch4>XIPz;b1m)2XEbF~8#_*5c$)X%_v%Ii~8#I5xMZ;dw`f|3XvPj6Z
zESy~CM#=kY5l7;!A(+s0(Mw$hxPGHQE|v@FGPA3x!&Z2Blxw%z4JkA?cy{jf<izoc
zyG~&ntnfWoLT%Po5{(~oUiW8n;MpN-tCO{sAa4}gk^Wa4xuP!D$?_cN&{%mtt6+&U
z{yL5P&0?shJEyG9vBRv_Nh2%60!_m<$J8H^P)XhKNlcIf55jG4b1j%7Na%b57hM!_
zNiy|60yuC;tmW~aU~@bPvOaQhSOj0Hho|O7IZ!vEv!UU$8DtM1QlY7fVE&~GslJdC
zffsFwj`e0Z61d&@#BpI{JxKlYAf5}G|EWjrYcfSWaXP<rRR|*-`LFF0x$)z^|H)oE
zQ!vL$KYW@agx93)=9R@fICy+@X-lICP71b3FIWrV?~2N`)e&9<PaV1~;$i}sw7R7@
zRv|?9itL?r<Hu^PvYu0iF@_!b<wE-eQ5$;p>tu%jD!%;3uHk2l%U6gs+#Q18kF~Se
z^F$Ekp8JbtW{eOq8gQcGiy(f*3m#%A5(4+4E7QP9BmARia6FzDMCN8b`jykdP-%S@
zW1((@PJ43bL&iP0w(tDzx7i|~oOWbg`<jXyFN#?#_X}a>z&=C0Qc(!$B#!KgrlP7K
zK6y=>5U8)WK1_K<Lhi_R;c+D@B#gZV2CRiqTTI=4idh`pKA($Rz8In_F}|ekxiDsB
z=06F$NkBHu*J1uVLvMWxMzXew;0Wc9&-)5Vc-4%4IK15up|hX9>|qzh>l+zykqXlA
zzjy6qqLv|=hsGC!Uy6dWC0{AvmJDJsVSA3n5T5n!KIIok=o60KGvO+Svy0uarv@pg
z9$dY&?x+~_%tY;2naJp84tb&7M!{$Q<5gjY#nEfJ=b$_zU!~qn9^3wsg3bz`R=ykw
z++g)E^z2l?oX*zoqAe6W+<bpVtX2{Oy<KJfZxrE>bo9@bZVJXc-iO)ENP$D{_Qor3
zm5_9bEM@+Wf<<1p6cNZ^V33x|`au~RzVOjMXc{74%SG+U6<J)MFJ;X4t3YN~_;35Y
zhUmSp$SNQrkDKi30^O4g9c5}7I#+MV=o7?T>q>^fg1=MHKQ+AJGnaU-NQFnvY4L7h
z1?U`W8otEB;6mnzbnZne)E5qqWcDi{G<$^m+o}fa<Tx&zXPhr3dcP>?o+6ATR@~Yq
zG*RUuA<W)lgy%agetM)TffgAn9QINRmTwi8OOlPD)Mpa&W{Wa33IBNGquOXXo7Y_G
zY=YQKqrp5?6<9fKdf_XpgOY~wkNHZbI1~ThrQMS%cz2;>a4Ay<hrC>q*72J`y!`3W
zYqwNkdEtF`TB{BuW_!x&*O=pqR`R--t!mI8=T%hvtb;-lo0K@a1!i)DYCq1Y;ab4u
z5ZN0#Xi8|7tK+tWpRA$Q+eCGoiE?HQx6pyIoNLl<ek;`evfXoPR2?=!Ec5(X+PGVw
z_iPJ~HO}W$4VD^fpkR}c=hkal7`i66weX)c4Dx>u(1J9e@~KNj<%lLepIAfQ_L+vF
zd`DyZNDZVOv+AnRVsIomBq@Ib!>@+^%}DXmz)1h}Li$ZLG%SdiS(O5meiyuw)PO~B
zcK>TmRd{FC>vxO-vdNs=<{znJ&i2-==1t1rTob6QEn|armezgKrs|;I`es2nqX@@Z
zy_Q#2Hu!kgyf&HP10GGyckJyTLp#0qY`dEcc3Sl<oA;?AUx56wl_m$u>tw&BbvC$L
ze#_d8Ulm<jsROQSq!F*)J9^C026O{jlZ}=NSk${%pR-Cpt6$t;S=I($7v=81HCIMK
z;^B_>4kX-QKDnsR;Er1SxO|a~63+BVvv2MY26Zu3iR~%CJZco6X0Hf4*VIor6@q99
zu)gDU7!2Mkt;=v!K)s$$(90WqxV}G_XUYPIm1f>{a2**9qfHyu<#3~6X3XZ}5DjHZ
z8RjmGyxUHh>Hoyd37y|(*GIb2AblzMSWvGFYW!|);pbw9u6Frz$y?Uou0O(+%b4?T
z)?EDL6gIS9D*x8YX$}1i!|sa7lDMlpTwb!96`A$6%ptq1kj1}?^T2{Q^x5P?EpM}6
zWn{fA*K<qUE4ak2og;<~^t-PWU04vE>-6cZyd_u_W7nv-l3<!$Tk@YC3qJ2ZlXNWE
z0^749KR#3tg?E{~slOKs#uv=(UVk%(FE#eXBMA{${HWX*@Q?+~H`_#{oXm0jy|#3v
zt}yhZYWAr*up-o}q5XBG8Ti~cD6|C#p~s(jzF?IVhK>~zDl%r6{$1sz^gs|@7x>CM
z``F;|!1KnA3{x~g>+yL7hOge+X2LeG2J&+~{3T4LSj_Z}7xfT8eYo}g&8!?SV0!$E
z6mNp=j&`2Pe12HHr(Jtz!wIGib%~x?W2m=SoNnRg$GwCbd%X&|K)<BgC>dvr#kWIG
zJs$9ZDZ%&LUSS^OPi%NGwPb_~UN*XW()f@tXVyk7<;AAGPfd=e8R3nfXUNXueE2Y@
zmblfOAN(J4`MAW5u-EPQ+NMfA5Tlu#|M&&5zC!%q&0ADBw+79}vhc&l(RG5xCIllP
zeeY5SDq?w0K1fUAhpdLyOfQ!(>K1ZS&4vwe;_e{F7P0_F`xT#kCW~Os#KN!Uq#?>&
z);OpB6u`EZDf^vWMM0Sqc8xPO#K*S%-V5P^P_6mEw<(Q;o`G{~`$s95>6tsZeNhmy
z4o<FepT)58>E_mu5(?sU3Iy{n2qC!iy4?pzK*?GwEI*Kf7Z=!>f2<eA{makN(&>`;
z+b`b2r9)x(E<3HO;v%>`Rl}?2C5?&UhY?|`2B-?tII21;g0LsNiRo)(p%##xc)Z&H
z)t*nhKaYswcZ8*lM5`Q3ew6AMKR3YWt6yaDGzsIMM|Z7mA>-@Hrv9i0jC!ZRtj+uk
zzKBHGM0+Zrs=qYG?Y;qayIas7*h)Zm;wS5$9g1j`zIl6!Zh#))=h8bfB@rPZ+Frh2
z33r-<BrY)e3a!1@Z89l^;T@WXoO6`n@H0i~3I_#V{iJtaf@DCVoXA?PRl!2yO1QrR
z<NLb3r;bg_Voi+C{Q6;4aNR42#yJXDj*+Jpvg8>&4Cdh!RY#!v?;CjxPMzNv`lb2`
zgMV>3Ns2ZaSX`RQ%#Srh&5JP)N{Rwj^-8QC25Vw|QRjp^ClzCBi#gv0E8<V+MBP}5
z7OFm`oj*`Th0DeX;r)!<Atl7~n=4%#hO(|28={O58?vJ|&srH2ruUjhVsv2iyVl~E
zt1(swmbA$lDv&t$W3K{D7wrnUbDU--IDK9=I)$NcX0IMMdiCg{?6s`agoP<2Yg(di
z{#3>L!nvyRPI~a=@gKlOGaO6j(^Yw-hGL~#SNmi1ux<4CGE0;>K17978pNn$M8lYK
zoxdL3dkrp;3oS6Z?xEB)L$?ddmR~(!)5ADjfSlQEiJf`3$mdEl5K8@7vw6EN*t3f|
zqo=K~sfWq_Hn%1!CC*sc?bX4nJsVt4@zU_|<=O(z^_nPg@-BaGpbh1>XOGl!14rD?
z%BJnn#98M#)1n$pu!S+ti5vlHayhzPw`(%y{avd)y9Tn!^Iz?M05p+4?O_#7M1Ahm
z{jH&ft6R|9#o$7H+m8EVjT-16UCBJ9uY$_t{9h`EY|wa)`JJ7m1`fzwCqGhGf<#11
z(9Rn+_-`xi09Teern(2HGh_v%(`Mw((QWWMKUvuSnHm=V{Tq^ZlY?rBo$0k_Hn837
z*J#$Iip%CFv^7pjfrqVXg1^cJ7xl9~uzyy8nWjRtACEW!$E$nWvTU%y@|#cGD`gOV
z2S$Z@MZn{CKt#{a28HX*k|>o*kW1TDmBKBAnp<%fvXyP%#v0>Z#K@;}!<t18)cK$!
z?aI2L4`7RkR=pjmfXP6gwnuZEV6AMFxRe7p=oBV3Z6;$bC!e(Yz#6>bk&TT5P;l!<
z*^Xp6?7S#sol(L9mErzi@&_7r4@sLYg~>psLd0G$m<hQqQpy#|G$g7j+*%hS1>HC7
z)MH`Gv;cF#%|riL<36$SVDX{^gjr_{$5$6=N9~8BFFj>&#JgH2Z%_>14>D!l4_Tmn
zy;A?#j@Js~TwN}=-AFLLWph<DeV!(#T^T><Yl)3ikqzwKBJlXt_I1o*o;KpM!`tqT
z1vnE2QFTff_xkc?mDA>FNoKh|)2tRy%MPqJ+9`y6LRC^DCJQvH1c|?Ex0_@AO2}Z9
zhaid;e8qDd7inUj11ioxHpBP!I@75S{7|0QQ+%=XAMM<MDV-H*Gn`5&=Ur#RhfeOh
zbZ^IH+WGd`vI{AuNLbs$d}x#hOTVPI*D0>j7OeJdIy7biMgI}msAg`Qh`!!_qJRlv
zS6oXU_?R%b8CEUb%Z0d#u}!{@m=Ux^FwOCeF|JGWCY@5{!X9Zi>+mTSg!h--va~bC
zPIZ&5%$GS4@w^LU3pVWWHQ84D)CeQ-wk-?xoH(%MZ2PgoHE257Ka^r^gtzk1IVNJ9
z=zbw0Xe-Kr@_|hH)N?A5b#;7N1Ud1fy8PAQtDJ~xU%JG+jtZp$(o11OPW0EVb^g4T
z8&bX3BRfAELh$MFlE#Ca7)%+zV<*6i1JS&G8DWM9Soj$*@`Dpki;w$oPxE10{PMCV
zn<4x}g!X<&<U-ZFz_a>k0etGp*dJU>LHbu_S92;iLYHH&i8Ah|qOa^YvpoerpG=Ah
z3i3ei)38n{gXgP<<<$3&8^Gd*>Ys~(yhvd3k1q-q0em*wi(h2ucDQ$cs4*X!%4(7d
zt3~lk|76Y9jRuf^9Te|$gdat__CK_d6~o6I^|U%(14#9lwph&yKu>dwPoqd2_v80h
zwzuo!+y?1x`({B%-s3ImHIYQ1OJ<F2kv>}AsBL|9QwT{x2K(C?dOxnAAJ7%04?k(H
zs;LrT*ljU-W!WHuvc<H3Xm@>FwHdv0v`Pe%`pl1{tL2ceIc`eAN+0)ITY5Hr5@po;
zzhe#}<BT?S<%gj@Y^+_%#7SZhI(_->(L@D&i>&#mYpRcb5y`X3d&SW#vgf&DsUi+W
zZqIjLtB<6HAKjeY60qsZWX}G=@QL@el?Eg9@$y%}hd+T*h#U)-kdjkD-~7h=nWg$T
zYW|8!VV42<b4258m@3+b-?~doGX8H}mqL3c3(jq+yMi0l5cG>vZi^dZKjn2AdGh2j
zF!IN;fvf?c{uXnYMg!2Z`A&vDC4<zP{?#=}6G3H%d=)$>C{$X}O{`OZf^^Vvfle(X
z-miH5V};=d9Nw};K3Bx&xGxpGj6CxE<;z`#FAU*dago%|$YY%)zGgIcT_n6abNWL$
z6}h>e*jl=kK{B(ANekA4g&5DFsB$BGoecYTU{nPWdLeV^8u~EQZF}b3U<|>l!3}9s
zstDn|7yAB~KD08Yr>y^)AS22rbaYG&Wv8b+7wP(#jz0G=31+BbQ!D=WNgd+OoBQv4
z&`0E<QqP$JbFfX`i+yxk0|c{}?Cxj!s6BD0Xlcm;_vN#E#&>JNF}(U@N3uS4rR`2H
z_P0Vk@9_GhWlaQ9H@SEV=;Qfl!sV`~)}Ru6#&7p(VawUNyifhQD7fq{e`F2tcU5qW
z=xr@9v6^(BS*wGW-!9&AyaWjUZQNd0uZ8uG6n2b+XraHPB)~<*1|BtC1$QrMp-0W&
z!>pqQO8wTXd40|X;_OW<S&mw8elfI;>8~p6wn=)jPcw4L_m%W|x+bg+$u%lxD5FLo
z!oW|@7BZeMF8eU}m|0aQJuIn+T5~e(fQKz|RM4}Ak)zHn=Wf}zOCI?6cS^#~7Kv@e
za~IXr(Y!U>uI#N8Cav~I@G$CE4lqW5T@4R++|VdFE{4d%m)*K3w#YS~9(&ZLf~rB;
zl!U9om}L6)E_u}kcB#jia?_RJ>C(K0>c<Z%i;5Dp-UeeSijy=8C0utpm68|83A^}v
z?y`|K_|n7CC^M#jZ3(3^p&MD@;}`o*OTq?uJ+6OWT_U5vOp`0je1+B}@bmuSW8kSq
z=Mb4OSIS$a#=@fi(k9iF&J#Ys;$|D4JO6*rJi=)lpf*E$JV$)VAE%*|x#Er6yd(sI
ztz2Gh7^mfxh1HN4Ji1cuRJiYrI7A$e#fRs9r(LIOeN@<HjTJS`6`>{)n608&Wf}))
zElfdW?&qxFz?XJ<^oIx>M80`h<n+_txJ*81d~b=E#~IldjD$fN^ZFnV)<;9@t~Mi*
zB|g2)+xY8-AY8U4sL%EH(JU<vtH}6T;HAjPB;gExY-MRwKFsrtcD}x$=+QNE82sTa
zT4d<k@8z1`m7fP_j(=+cwPwu_vYoYAvX2WXzqRt{M#Hq$4b!tRE@l{+OS3&N!vVhS
zE9{NTqqNbWDgDzWrjQ6DAL(&qN4mf2`asn&T2r6pz)nVfVV~t{{r8CtaVGLNSaT+6
z6sf;^Is#1aKL7v#|Njh^cRbZ?7>CJ>>|^h}v(7oT^F<+L7NOoq8AVwsgf>!%hSESu
zg{GB=->)*tsE`$sQ6XeRDdY9;^LhTbpK)LJ^`&d^c3rr|g5=v`v&>Rcj9YanqYZEA
zn9MjHpPaP{?fOG6nK@?|1IG4S4QO=8`!l~|f5!|{z4)<Au31LdpSbp^J2a>qi9K;p
zof)ySTr!IazZvQAHkW3^Xb{=3X8Oh>CPev~I3&5uGXhVsZB$F6A}^(V<5e#voM+OV
zBd`2pOm(c!Ji$W+HKj=Cs|FKP#zmtA{wy-i>vZ`po-=^xt-1hjX(pT$I{dlKgb5k-
zh2PQy4RAomwaiMF2|ati@*5^IgZ<^3^;XyQacfR;x0){#ROwB-0>)Os>R4qPMNJ=H
zv<}~3D`bMZ1u6Dz7b|Y<?|v-&Tn{_rKK81~G9zo9mRi^h8zg@gdvA5rgPg-%x?vtO
z?9w%kGiP!@L;x>lzU#ur+c-hpc@+js?_7A}zZ$D9I8Cid(8a#;ti}x#7HspIKeyI}
z8#?p=SwN=0N5nfdT`UAzT+y9lfs#`)YqJjzerN^F_GRl}Fhx7@)f_9FK8EWY%ix38
zp{JJv|E|TQ^LbyiMcL81UA`cDnI8?@hA}-m)*^H27t62*2RO*|4RRX=Q50+8#PVJn
z+c@&G@+&#fF5At$_o)y%LipPoH)`XbQN3rVEf=C~Cc{gq!myOywsvc~78>p^r-%OG
zMh_vieO-qLSU;Z|pAFH%MXS7V@m3zJ`w(p7cwG!PjQ%j2NNB<5ziUNYpZK7rdo<?X
zaS3d`Fyi#LT@%M$^P*Td1yB{o{Ci`n6zbwO_HDnfiB9kOeY2*5czf<^%VM<*P72yO
zd`Z;=x#x`Ureq;}Hp|{fOOt~-%Xb#Pi<-E!bSWqF7X{U(j}AWkD36L?){(R#O>mW^
ziWD9e!TAZnsP9^e=s&;DY|SrCFkiU`s=OE;bg9;D&rm{bNpPx&mlnkDaxQ=TDvpp+
zsgZUu75LrZ8JZl?!YY~16rOrXgf_H)w#ZY(zDJ)1uHDy0_AvFs+a_r!%!W?;*{Wmd
ztp7Ui>uWLiSjUAiDGR4ymiuofG!R(OU|mqBgZ<lOtGh(yvCu<0x@Tx%a4_~vV1_RG
z`YJ+hty4hH(o43rjJ2q#I1tboss}F4DSzi!MMS#Lr()Z6(EBlCQ9f87yC)f%V--r6
z=bUsX%F~5!+T$Ik&Ke*wWc!xW%gSKNAAHTTMGxxf{+HLbP?5VT)Q)bY3fp30@Zx|T
zS`7UZ+f3=GVHO;ij#I<kEy~;39P|-?E>eG6ts!!RVzyQksAEm<`WS&T`Z$x3X&Mu3
zj6SaGg%4h9AiQHo#P3V`aKN?==T%G*Y4)ehwo(%@8iK8MyY=B@J!pP?)C~6t<yCFx
zwP5pf(6!>19&R}s=be6Ffn_Ey*01{77}A>iG`3C;HYqJhyLEtH9S>E%XKEwZ`{2P@
zcU_od)4pAu2Ob~l>#c6mMoG(-Up70}Vv@bWMd*<wTpSzDhE!-H=~O*aTB#=7QywG@
z*;wK0p5Np~e{E!l-!oFIRYPUJ;#eYKg@E|Wc7gA;z&^$m^{+q~r|ynt*$P`DYQLfR
zp}(4NWEnm|Kc#@va*e+OY^~8S@1=5jTmx#~{CzmPWe`et3#M$fMqhA1%B3gjcqb?t
z`Fmara}i@+!YljrG6?3LO=?&@R@Xo~Cj|9{yD~nK*4Wy&t--cY1vHV|0P`I@_;@_L
z^Gc@`dSa3?>Wq|eV^Z$;zaCat+}y!>>4X(t4HR5#xUPt}ytHSsjDL)ezGKb{a#nbn
zxt0I(qCD0}NZ#EMHNp5Z{`?+ui6vBe9pC!+%i-6-QkGi^?Tn0+ylpgVOEgz9RkoK(
zV_oj~7uMM%(KhoUI_4c<y0Cos%xekoZMM=@5AGv=q!>Nn@&wM7x2pY|7e$MPa?K{W
zVIpN~cQW5w1}uZWlr-!RhL-Y^#o^I$!XtBORAtBl?0Y9VCw~dTG&1DzkvEgXdn-5b
z7FG)|_guVus*)e#es{lRl2gRGuE#DvG|geK^NdwtC=aM#DOq&hX+lYV?Z;1^W{8X>
zm$$!JjX$eTT*~}3MNBLFSNS}}6uVdqH#5bvW5!U>H{5QDcvi1yx3As=r5$C<2hOq}
zvhJq5{DDbAXv4IA#TpZQ3OxR_Yn%y1kNjGVMkWZYzyAMuxEX`+6g90iTx6UfQa34-
zjS(Fqo^Pjfj4+|R{*<BIJY)HS3dJ~VlsKknBWm==5IZDppU_B}WyJoC9v)F2CcJ-W
zg><<X;;v|Cxx}t%#_31}UbgA4gtm2g#<?eSR3Eu<Si$}$BV1lOs^Q}xG5;{4Uw}e~
zxn}=#+Nn{-xnIw!I=cD^c?OHNMl1~(?K^KI@A}3db2;x0v3((G>nn3sSb{47R~}b<
z7+{>`Nn{-^?IDEs?xd{uq@p-*uMfweK8DTKw&cRnE`rL<Wj)qp0Q&<uu5GHH7~_;=
zJ9n-Q;?_buEyTtE`Swo1Dp%SV+;vJGjK?2|<UG?e`LFb`b2ib;zMz@$-88kQ;8qLq
zId1-YoRvPly{G(ncde1Z8yK-(uJ;4c@zOA&p+*l)vP?e{TWT4l?IA8Fp1&g^`!a(M
zZPG)l+u2mgr<V+~Rbp{8!$u-IC8sr@T^Btf@i)ztDj4V228?H_*Av>i#N|%z(uG<b
zOOSt65#!zuBl%N_Z-|Mgt%7^M>%h3AV~1mIKBI)A+|<Xej=1{y%#$}fE1b-H@a#xW
zCWF2A{OkDLwZyFPwlnj_Yw?$>Z6d%Vf$_VxUr(y7h8RtI@w_!i8#v!@kzF56{PuT$
zy6;jAv0t0}olcGxwtL6KI9sI?iDI-5_iok@Hi1`*zxQc^wr-F5CC}SL1rPtO<*^!q
zh$+ixm)C?#Nn3$GPaa{On78}hky^qc<#t<VpazalXzn}g`<RFw;k9boTu1bpe(7l_
zR)=vT$Ff~zA@OUOspL}N8{*{`FKP;#I*8H0SdQ`%qBHCoKc(s|u@vYLxa_5dt7_@B
zTT04^S8A^dUECUojJcm|OeLyNuJrrK@}h#6nK-Xvt=mLIRTrd(38^BzSlC|WQx!4C
ze$M}$%X?yzi$Ny+pbCOM4gJpLc}ciMx;K9N{DD|JGM}N}tBi@I_OsqKuZY)q;dRMo
zErix02aCO(GTN2rANFQc6ZTIu?h)0k1j}=2SKnt!2r4Y<`;b~oSbr4X_cx}E$o7d~
z_tj7WHRphv@RK)0;%qd5T^&TI_SMI_w-nL%)!edSv7TTJpik%@?;=v#7ygz?D&oc+
z%d!1On~23%JLW}uyNQMRA2pvd6j1u;)Uhbp4@8+$P}Ps<&xEpeAN8W70+t6;ssgf`
zi2y(8if50%5Sqn4&1AMb=0D@LsBJ5uQy$`(X+J>BgbqJ;Q<ulTo|l0OqHRR;KDN{2
z0z<^n{-i9+5;<%j2DZ(Mb`VET#D@fPeIrV`@Aw^DCkNKW!M9<Xx`?BTN#PO3!-V6m
z@BAMg%EGGjl(%O^H^Cds)%)+xDB<UIWUEA%45Ej(w%7!HCJvv9^MAT|oLF+AauQrJ
zIBH@fTK)73(d2e);JC^pvH$wfhB7N@d|4ZRLCSrASoeI~IHz%n2n==n!F5au{c~zf
z+Nwi@qs^C~PuVlXMtAqsuWKan<j17vy!tm{pUR&I=lipS!@6kmfBcg8k9uh{|L$SJ
zO+4J<_3&?kDSCHtkFNyeUrki!bdM4tY<>^Z1OE~=z5B;*SBOLXu)ve_E8|4}agL?0
zYZr-cYmb&>Ns8kS=aKJkoF<7feHF_Fc_vbxf2}-Dh#^a!HEqq(6!GJ<R$WO4Gnwe&
zc1>_b6q}@v<-2sx5C?wjf5=nCLdJSu40snL3j10jx@&Bfn2>pHr2mPHbRXM2x_v?f
z>7D7hQAU4=@RaUY0ew!=IV^E;XvM2~E(mYSt^P|$Zqkg<Z{#9}3e$!=g+;JeZ*ut5
z)kPw>=<w^x$2_F>lE(p#Dq+-#RhKUR$3*t>{}r(c=O^92j=XwuP#Cl}pXGkZRis;W
za?(*_L6Y7mo||PQjLG?=;>TR9<hp|LNKJhT$#GT7%uZPtv9#&TY#nxT_t)hJ`JE!<
za6;>=F$H0~iTbLuGnJEUm}q%+tU-(%-`4B)7Q%>l#QjphfSdfsW2%vUP?9w9I3H<y
zN*H~=T~i>#OG?^ad-5behFrhbJkR)#F!-;9vh9DsPx5pRMg41*BmZSVP&P*d8#e4U
z;E5C@gUoi>b6-^;YlYeG?@JQ}J)fCBFPK996==qIq7r#G?W5qA4`Mi}az>>uU4-PV
zaFA`htwPS-it~CICV{cT39Bf-#mJ82m}e!!YUIQ-&jhVRDd?tuI!sTMB)?s$d??|e
zNnX`YkJD9^MR+~C!oJ-yBws|1lGeC3*$`&s?n9GDRi@wNE#-1#F@Mffva>GvjP+OM
zefo+o4sANb<D)<h(EF3l7VD8`U$7mR&sB!xhb*So@=D~N@BVk|B@D=*6XlLQX=*69
zok=lWP$sc`VrNPel~kRz&rj#j!pZH1Ir^ij<i+-Tt^)*(RLL$!KBq3Eq`MSG2Gz;T
z2M3Ge`sieUND+Upr#`kAXPvG6tVuSDKXp}jZAhjqE4dt=rD97&La<VkHu?ASbKP58
zj7UqJQ;w~zhA^V}^6t*mA%}>|Nsr=;$RAnN&w0O@z}iBEyDUqW+<(>L`)Lg$^4_~i
zw<zHiZ%mwR=y%W~YX|m6G8_y^PJh`QleYk6P3gUH@Ab&OuzI$+FEmoATKCs$6)U`_
z?RgR)sZR#%R8K!NW<W+zuev!WSYy*Qvkx~k^hvfV_6>q3^vKPc{w~aq*CD{G(p`OC
zk8J)=BPuLGn|#bNI=trMden$=ud7YaBUx!bH#Fv|lJ^zlZTD%|K(RyV)qJ}ynO~b?
zvART_9J`hI<70#kF4~G6@$1(iKSVn4Y+e#2XBExLb{?=n(e0c!W98apm+FP5BdfSc
zKKnD*4Cyv-%D*CZ(^-?;pWWShTy%=4+8C)FUArEx@5lUno~x1555x1GxQ;Q5=2=~|
z4c4Rh=x$AZ?v?+f7ThJ<%mVxAueVR0UWZ*qdI^G_ie$_SnlncW4|=k+BA<V>M%)&s
z<m4hba<q1bvFcMnSPyVsJ}156y;0e$;*L^ef2z<4(GX!Ud=shb_gW$D$jJ5JXi@Tp
z;QojuS5aKLHl;9CWeFU*zMX$oknFp0c1wP;7y`pxxIar<;@En3*O>D><hL7DOFRs5
zq}_k`b9E9hvHI1+w(o3YeiQR`or~gF^i&Lz{KtUTfuR_!!9`+!x;q=!9dRT@H6Qx=
z&jN$`PHx$orij@Ym4APe#KDtqL;c2Y0l6POZ)f^Dh>dSVe;(K(j@}(dk2@HdqiU7@
z>x0!F7&+^b0&6JZ_^xld*(%fw_1)ajl9xvru1EOZef%hf#un4J?9WV*vhU>ZhLBmt
z+UM^STW*NqN^b24H@7Lmi<T2Ul`k*?zcSU-go{DyY~%XBdrgqL?xGdn9cBoG$c=Dq
z6GN5p{eq%4V~A9}pYyxQ3WANIQ0O6s0K@7UXM1CmWe0Mdx8XpU!K;z?`^0ctyXL0U
z8zW?@NAa~jUk$!fBH`sLxp?=2%*OMMMmVTl8*pub8+XHIbBqVY@a=f!WxHNOM9egq
z28r=P-ng-`V4XN_J+@rrI$($fkJ8RLE`DrHYvqt9#c}My(H+kO4dIjHE*7)I56&H8
z93gHJNKZevZo_jruAqs@dQ<?K(N7aBSS4W>kulgBKu1<o>Y>PHLF9T!1qn4uBAL#5
z?}!W?ue|6H-K9b>2=a1qejo*pbOpntUK#{69DGM_Q1EKmS%ZE@8s7CGZ6>)i%oZ<q
z)~#?fDD|}GmqHn=|IGB`S0oMFPVm?|M2NtPx1`LxLl*IFuWu_j)6iC^oWK<ziZ1HD
zy(~#`U}x#^H>c8&{!2~T)>jNi7+gJ_+VT)k5*DdfprN?<fZQs7am+FOZqn<K$KGo%
zUb{=tP@d|XGZ`)clbGR{$utFQx0`A{Bu_(5f#{2v(~{7A(Qj1cpoojN8>!X$G@Lj)
zru8gO3OwabA6D_M<mNE$haXnz8Ek*s?$;`fx*$%So)1c}O;c%9U-9!On`5*QHd&}I
zu9X$Nq>N2u`}IvFG=#?8$(EIqL&XKvkLqqJXrIk*zPUhyZr!j%94UvJw@%sX38>-=
zB|F92b>*J#Z<>+XC6Cp_mYdVnsvyg38gonO*yFXvxRqT2inMRZ{lRLuoj+HzLER8~
z>L2gY^A+Gao$IT;;*pW}_YL*r8KO`jdLVnFBA!<chqRqmN513E>Fb6@NVFebqc@_6
zw+Rn3Yv$B}*<CrinvF1R|B=>wR0*_K8mIo*YQW5~xA0!1F@}W23>f^%Sdu)URTQlO
zr^gyx`xQ)39(>S1{IW7E8{2<mBx&Gf%BI~;Z6*k7;8C7fqk_~cNyk{jH8A&kq$2)|
zDJFRR3tb{r(9LLxRHAA?_F>81PD?YGPiE=QG^k(|>!UHlcj_q53^$wqWroe?bz)0-
zRWWu2S&yI&z5Pdfx8E{H=}!-(CR0`1bGbERaZU~DvQEOstu1irYu%oAE~;42(xiSb
zRRs^B;V9T?fzU<K?+s3>aI}hj*7;Hee1YTotG6?t7?8u*NmGTelc}~tkuuiZ-rw5U
z$iQA(e*4N*s_?zS`q?f`3HEvk5!MtSdw%p)PMHdPFL7`?`6}Y|r%i@m=z!*2m3e@N
z3OIlGZsgNez=Crn`;-HaS>{^ZJ*W&Z4X<dSKXTaBP~#i3l9%a|RTkF&DT95#X4&Wk
zS=bkdaer7@-}Ak|npUTT!ixA3YX@m0T%2e;?F6h33o}2dq=bloHFI8SlDN=R869Z~
z*u9bNmyc3J!}~TI(iDg72Emj>86aO*w~@6*0X8z6B|o=`LeFCL<dqo)1~nAw`FRyE
zCvv#Lyiyn<k!+iv++ZMH%erlqyFA_m*KAjHp&&CVFD2fD0nRtvVLP+rpyTVQ^;cAA
zC1)nq3%s{L0#B;cV5cnV?>gwe=NANLi+szL?G~7%h}`gwm%;fKHH&8B6@I*E`^YwA
zj*_Dld#>wCqw*U)_Gl_U!c-c<3j@q?oGP++_a8}s!dv=NfFEtU{LG#Wn}J7Uv}V3p
z0{M?d4W}ddaC{RRX&GpSiG5o)h`baBv(<oSD?cCHB)eR;d^d&NTlR>>+7)k__d8-U
z!HWoiJDv6Zrf`)Erz8)F;={qptRPN4IH&0H`+PUS?aSLPnM;Ubtc6Q?z>^O-11g<`
zdrZ*w)lI}HPz0Q3gqiw!`M}3yWw&v{7z<qq^UvQ2qbk6ZL&}aH*Vn>3Yo#xg3*Omp
zbPz_!4%XzNQhsQgcN>Z_8RHw<;K;*43d(oxR<K^V2YPOI6@Q8maNE;7GK~T=%4xPc
z?*zcMv*qW2tPz~Mwg;%VQ&6b&<;iTMAl!K9cfOPuBEbE~0z;32iO3T}>1%~h(Q}?<
zo3kO(`3vo!KtWLaoww3|gy2y7Hz(&O9lx}4sQGFXXj|K#aB86-hg*9O?<G2t7jJyw
zTt`8z%fd#{m3NQ%s<?K>oQ~XNDX!@V3fep#YQ~j`;Lqd}tH<LsECq!+ag<T8SCG@<
zMztuo4m7{In?r-+u`N62_=GV()Dw2KUknG6{=HrAv%=eR8f&8t3qytLPUb~E2?Y9w
z9c5OcLFiW+kJDdaumtr~-*S|ML7?)2$4@F^R23$y&x)XS;N6B7nNpa{DjR8gMFsmA
zx8n+WqPRPqyj--r@?W}B$JS&~5%2okuXtD#!vihv<-=r=a-~1>=1D4Uc)ZlDC=|m1
zo40cs(Q+^t>lD&IKt;FG`_PdTarijNy;iW4$DK*>XL0+f2-j*q{3%uf5!Fu<D)<!e
zU@Z4P)0O?r9*3k>$4X+vad*kwpaSH&#@#d$sL*pfCS7wz3SVZpH=KT<2#50D46a-%
zF4tu>s1``$c;%8-^A#mrw=6wyxtR*rsitcjE4gs{e^kGQ2xS!b*49R^q2Ykq(9PM^
za){!UsNr^0fo73dn3FpVhqQLsFFlY$aaXwQGeuRzhPg<kJf>m1p+q)*i#+lShqoM`
zQib8$Jl3OPbewai=u0lkBSL#~ba9ayT4gk24ASUO?byp?UZ8+Jt9V5Ne|79Fv!?}#
z8=^1o&d=3bSNJbFvwVqF18w$Gb}3H`L3v`ZIe<wCFFSZm8Oa(jRGn+R>Sl!Idk@Kl
zJ4zVfsS7watpQG<J>$F_#<*nCu+!8^85>OQ4YC+(;^*q;X)~{kp%eb}<DNEUYztrQ
ze#TQ1OS;lWY7$JKWXCj8yiElbxAz4VI%`69{o%e7PAh#H%BQ-%MFs4~o_b74Y9da?
z+46<B8E&h#q<PR)aoFF`cI3GRu5Pw}aJ%0Olz>O4yicj3>ef>4RSgYX`iaX1Ip*k<
z{lO_&sfwwF6HG@!R?fS<T6c$+1)^v61ebTK!q&s0Iroej7~-z3R2BwI^EldP`&990
zBtzoD302(eZ~Z2Dje)~frjCklRdG4h-A3d;73_Y0qjZS}IQI0s>AEYbcwkqT!Y!+e
z%eDLcXx2akmucJTjjAj46&(8gVTHRF18sYQfaoXZe!l;z0w4Vs)VnbX=<1wGN=^i_
z7E_{A_NbsD@8kGuMS09d?shd!2U_;^jlJqrhWqMS*~PoEICKB%==!UGunpzGX1X%k
z)O0;U<)qO+X=31=0z8`ytqM7%1bxvK-^?lr^y@#}92pH*I&C?$@2w)fT7>&7o)*L7
z!w%Q(dI2|tY6J7x6k+BsUR01I0^SXt@mdDJ5Bu6n`^^;)cI=c+Vig4^7KUBzS%Jh|
zo%k3b55F;En_b#MpvdLL#APy2oMTBXDUgHGKt%24HUT_dn)ny0!NBQCcYV|MD|I(t
z#;Ov26mtjK-F##L0Se<}(q<XZo%vUBU*f|~)z@9WwJh+rlKTkXuoM(M_nPlf;Kl9I
zZ?}x^nM2Pfdj9iyN$5nSL=5oo;8E+Y9epz9xY6)zjgNx_SPaUh8Xec5=3n@<)@3vB
zYNr|RQV>VO2KxI$z1#?TT3e*gZHB~{N2$8}Vo1p<V2Li|hKT80b?Y%xuyoiQ%@7qu
z|Id5lUu(HxC9$)qaoz+Aiu3B+#v&+E5ip3RtU>YV&uQfmCTKK?-JN|v7@3?*`gxbv
zAl2PhMsCs=JOe#%^y?{L?(S4CT+f4HuUA`wLyS>rChNV|n1YeCjD>VLUIeS%d%rYg
z1VbH;yoQ%TNUzCWC8@{<CJ{SHttcaG%8LH++E)lc8Xj@ml=*Sb%httml@T;LIGz+q
z3gKPFVUL=6emEuU)=W$_M3?QS)4zWRLi=Weoysu*T#mQMS*K`->9q6IpDlu5KkUUM
zWhaQw%BHlJ<#a3<POGzg5Ja+w=kYjMA^d&u@srI~Itr%Bn(hw>f(OgBE*un8$QCv!
z&eO2owZXxUO9=M9zl>^^SLT)dG5H7CH2e}xaD8thgljT+Ov<Z8u=KOR!qkxl?wC)P
z&tDM&i){aLy`m^$@3F6^ty=NnEq>uX3qs(I{p~F6EQb5Gqi&p)ROnQzN3Mya;J>Hc
z0`V(6KKVGePWuQIys@pbLCnH<WanvuJ_%@A9;0h+pkixTR^iTD!gzhf*65m*6dZ2;
z4ZJ8xMOMQd|Mo2+XeAT5uarr{zK(5%{kH+$xm?~@Bq@s3`3c!<ma_QF(jQ0dF+fFk
zTSWJ)C^&BmOBC&s!=H1{(mERqaP#Eh?}{sVsp}D?d9SrRJ~XZ`c~NVCLfeQC`$2K+
zTkLfHC#L|mTKPvMO$M;ITfH<oD*>^fg^R%}{dD$R=k4r%0~{LvR}>*3g;4*`hM_+d
zQ9RPxv4e#Q-LalHQD<qiXvkY_=~aT1_l@%R22@bJERu-JG9ZUyH_tUHW19K<#G42z
zBJ!u6{~M7-QIfM+S%nIY5AlhwsitC{WZw~;D~HUIPUAy&S8@UCEX_oDWnNromsQ^;
zk9W(fq7zT6AtJT@K=l<G4wf_+W>Z$?+39QbB|hqK2;WbBlBDDNKC8c~9~9uNn^EAR
zs)5?DoJfzSbZC&?Qx#_v!4i|&WZ9{K080mrCtD4nB<s+~xn2o=tsUIT`!#WN+<Tyd
z#|Qxv%sL_SN@$XB6+JeniPPSc6vGxH#PNr1=f10qfCr20%lcXv5!fbk<F+xL$CM?#
zvQ<H$zvIs0ty(C&__kUv)&!iTDx2NARq#Im0096043~F2)qfPm?Y-``H`ltx<=XT5
zK1M_lDxnlb(<)>pDJ!9nQY3{+N=b!CiV{WgQ%b|g$cjqIsNenfyv`rz_4%ChJkR^1
zbSEv+MF(l83csgrwuIlM(?JQo8ZgV`-la*>fy(p-qQuGyrb*iE+#MRId9X!Np+p-v
zwECckECY6BH5>~{R3vbVu{o`1p+?|#Ddjr@FG7DcS8t)h_DNVoq=pt&{MSIN(Hb?u
z&;1nQspwCYlJ!v0M1^cxsY?`r*b9#ywj82@JC=0b=a&XB=l;x12&i-^o}TifqHMl$
z`ur7jm=%~`d$Iwrm$y{9u13XQnW(T$gc^>{ZnG=P1gb)|{rvJm13Bvi*JeIdL9x%@
zL*li-)9u2+PF@<I?6Y1I>p;P6uZhu`9>7hb$ePivj@!g!okW`wykFFYmka<3cgE}+
z)zsnQ`p3@UiURh{xQFfi46r<K|7sqh2I1DDD+L3x;6I;sX5|%d^921-$Q4yYO2thL
zIZEUC^`k$s?*Z>-T&m4`RnYw8X!O4k36z#|J0+h2j-FqCJz|Lh?Mma~xkqBql|GQ_
zwF6*p;8grio`Rjza!o=X$oO)PLphZO&|Xm{ItXRhM-1wFn313<B0R-1OyF9Ofqh(n
z61IJ2H%h-I3|EHMNke}E)h(Nn2zf>5uaU5M<0}X@YP6PMpEVpE?p4Sikw=C?T-WXt
ze)QY7mR@tR#-XlFLwgovK|WqFeP4zTA#pk>efJq)zxvhKAVmgLgDp9SNxWDikZY=>
z%D_(_lh$WC(!l$lmTUcaklr}u+LCRB9OZn|?rBMoc-59iS$HtGOC#&$k|l<o^uFKL
zE&;j2ZSJLG+}J($@&tL0CF*M9K5;$~hZ}EiL4hC-B3y!8(Px3^r)MIk-il$=Um>D#
z9}h$-Go6Q=ERfn8xIE4y2KV-onBPl0xaEJSWY0r$L<9_{p4=!34xvIvl{#JwH#Ybi
znwZ1?>Ek0#jbyZ_>U!}N^I=2zzE7FA%@9{pK-o-?LDk!oys3g8lPpctM!Ff~imo;-
zz9->nkW@@cp8(8vhqnE_V+wJ(8;hRVB$&+9J$j`fgnRr#Jtr(paW=5%`^C*9EY|OQ
zD1Am4s~);0U3_MOo08>4q67&auY{;i=ZK(~Q*>8^mkAaFK1Kgw{@*jXS591eN$BJZ
zUGFesjL<%V`dh0>ur*mv5pXBtjr4tzce*k3Ii+=P29t22MeEYG)uPa}@>rbLG=`)_
z_DI4N688L!bWC;=LqpuN$dFe?*c0aWx^13>aGB%BWcP|=YT7kI{*VzY<Yaa`dy!!r
zsW|fLv;?X?a1QLI8{tUtk9F@l$q?OkvBLX5Nw`fF@I9F@L=2m+v7fgn;%F0D0qWAQ
zvpP$ztTcqjWnAt5EeiLCLL0J9$iV%Bv+13KhA=sQkk_+93@?+?n%8s7LG$ZZ{%9vd
z<V`jQ4~2<?egBtA)-&?Z_c$AVUCj`eLp`?SuaSU?>3=sbSt_F5b<ROVzz~YbO^!(x
zl9;?hmx_#4!e-x!n79=KSU)~ic$FcAecH>bh5VKAR&M2Z&!Pe96I_TN8>I2z%~Q=q
zHwu0;g8vF}8p7Gy!doLz2ITFHdbUm~uzgT_LSNnxTg&o&-aeFtXsy@pjMb`mdFo`9
zqrD--oOkN27m){@#Uh5sMGe)PsY-rvhTwK{Xvz;)z(j-fsvR5DVc*c+pY(+JK9&nB
zCS!^yDB&Kj-mHOLWmOJk@<yOqf8x4QqXg$4#-yNaR1B?sDt-RA5%`_EFW!k$#)i96
znckZ<5&k^jJ3GHIq|-~qO&lq>`K7h!yt5WKKkX|qE;hzkSCXo;xC+iPb{F5)(8fu#
z8%-*XCfLp|dcAU31+7sezEe}$SdN)LyNb;e4!Vo$>Z(*xcKOWJ7dbj$zs{u@-(?Er
z<AW^02h~upm@U>RO2aQ2OYvf*8S=j7<%bxlL$BkQ5M>Vy6E{rKjLw>);?7{J!l*im
zEp7<EIY9$wu8>7<rUm|0`pDl()xgEt57|R8%zj=SrIvI{j3s~7a1^J)*lWr9oDL03
z&$778Q>~yW;4`Y6K?QAYey`|d9ek*?)*eb^VEdi&$1NjNq(;ZqCVbR}NALD`viq$e
zx4(;Di=qj?C%ON8KWX8#e(D1g4+1vxP?=?DBC277{K*PUcn*wK?GOgy_ZM;`nQG#S
zS0{(I6BU+i*G@0(2Iz-chmD0a(eS6VL*<D&igp=}j@|**Udi>^`k0Dw$H99Y6gB)#
zh;g_(10+~zjI7y6#rnjPLweyVcrqQiJ6FmEVM@b(*3UK2+oh5e+@uWk)vAi?^lk91
z)%KdBvIcD2ImZRbN@(3A6zpnlgI7oI<x~9Cp?+JV^w+o?j>hdth-3CkRBU%+%VheK
zgs-~sM`;Yli*!?EZO~!ln!WX!D*8+(A1DY)VwL0HeRID7zZ=ea&GjmvzhZOVcti|q
z*G<iweGUle-oJgem4au-{rVQI$w;V9%AaBS$k&QptI3_puvwe4M`*POOwH2W?s@?E
zI~i}5-zs5yf(J*RsUT|f>&8wA0)qz8hxfizL@JN^!@5vDs5Y#x`<qID!~36z>7qQ`
z${*Rf>G7afvG>BM8EaTNn%OB@%3(GvP)I+B3oiP9#)aLj(MIc=9nY1){`Suv12UZW
zT)@)pa+`rP_u<G;ZfQ8%_%3JaaX|9kmcwl#4E(tkT2*&O5+$C-NmnkgW2$GV@>ZA?
znipo@h&o8%QO8h;jW0XgCLOGQbz34~NsX*6D$d*|FOO~h?5N$kp=rIbB^)+{326Qk
z#R7erB6o=$JglCA-sdgA*uQ2+C$A{lPc4~0lH@=|%l-BU4hvLtG>c~#kkM82y6DLR
z4x~HJM=gh$<IA~**t}>G{yf}zxiyUwL59gjhJ$9v2|s*v;k^hL3-i(Ov0R`}R@txH
zXa*H)A>8y5LH$eh(c(;Qn8jtLB)l}mYj0Al<DfA1eXz>yZsNgqIakgJCsW+BX?>Mr
zCyXe1L((x}KKS{2y{m0EK^<#Lu*n-CP#-OP_!7qtTeUxj$!;d#eixd%?u-x)ugz$B
z#36{RAOE_P-W$W`N8T0fWFhDXm+U)GA%q$ICl#bU#t@XOnqPN82)hO_KVl*R!Kigd
zrB;j}o9Wh@FeroyN-!rIm4u5at6zoY8=<a$@Kn8vFd|c*nR;lFG2h}H?PF|&7d8dk
z9EOBZv1+eMgQX}QWX##Cy*EVEy3h`fbs|`M_x>q{pBRLctanh84biJKbz^O_2&&ao
zD~HdB<8o>9?=}-dGzNb67jh(F?$E02=3xo=)d;l4elvi*H{(Io00|cuulh&qr66zo
zW3ai(06#Mfy|-mC=lFyk*9K|$e@r}R6m5X74`x<vbrZ#!PO)PjoMn;5T@@DZWB|MP
z$EOz6#c;>E<p}2FP$0S}?X7A6`jrdKX=HIUcng+HR4KszDR=NiUIP^K_I}(fDuIC!
zhD?l|5_ml={t}D&`083T_CQk-6t0)oRxFfpJc{3v@mn9qOueJtZ<IpaCC5pAYYL?A
z_*B=h8erYq=2fj{q;YG!`bYN~6)esVu=mLrpyRH@9?x$wP_o~mFT6t)L*y6#zS<eU
z#z|I*vW0ms2hxZB9#I3$z+|6Uf&rF}byBu}l*bRQuuPkBbtpcw?j&~@fcHbf#ZUVc
z(b&#i^^}=g<r%IOjoOBASuv@c$WUV5CnKzOj*8@npGW*l4AJvn{)^C^%J5%TF|toY
z3$<-~ZRT~1u$yI@$rLl!M&{=zdaGzd@TbI(N|zB14SWsQuC0O(!$us6sybNTv$>d-
zW{kjNdnkS+RTPpR?mfd#!{~_Kv(`-}$Uk`F#=^WRI%3Oy{p+S7fSpzTo0Ta7S&QOY
zdeu;|hn8d+s*5~!?*4biX5f+kFLAt59fNh6M!NmF;8$#qeMXogg~ZmQ9;E@6XU@@v
zLVEDbn(_SOX#rBA7Tcm8Q~zJ{{kzJlhjqD$7pe|gVnP1&y$7$UAba$4CEwBo`@J=V
zi~=i&^n{J|`e-7yI@s>3q%N|nEbC2b8OZ!|_TcgpO^}Hv)5WGVOy(?i*SuirRioeL
zeSBI-KC#0*l&pi?eFevAx(JNOc1fseYvE_FZ@vCaEo>vd7Jx61<A2XdRaFb>`>ifr
z71e|YW$mY|C&0{)ZX)}qCQ81w9prM=fN$8`j5pI4?pc)DwH9ikF7dRH)m}A}>|C>J
z(%S~rKB-3o6*Mt5PgRgVsDh=!ffqihHaKyT^Q$?NcjQHR%pwjeL${Ch<jIRRc##sy
zCS0$9g|924>(mt?NjhO-T5f}ZhBLA8AJmbU*sQ}FBa5^B{=P*8HZXWdsFjYZLI13N
zK^(6X{v1AkJ2Tz}niM|GnPF925-?5MJR*i^_r@lQyA3>jsy*6zRB%^7)3ZpNj9!g9
z!iCZ{2;mRi8r(=h{I{8vlMG=z6{v49>jPG~Nci3_Q-(kr>xdjXKd!Dl?k1BBxR6Fl
z|DIHW+u?h0LQ&kvJCdVH2cW|>aF~xv5q{;TC4OXcV0yZ1X488DLJQk``d8$zetVyd
zp$!|X69TU+>JlJ}|I|MyB#Zjfxtsy<EZ{G$IZ&2pjf^=``)x~U3}&UPJP7zpth7Fr
zV01H>dw;UpHBAzKqV}6>TwNy4us+>uMPZ;!dxNCpFL4-oZB7g<Um_e;4yUz5SmEe}
zoJQ6ZF}OJ9M2f9iA_f!tgl;^ygdXX7=|(eAR5mzf=Lanj%ltj|xyqIpIQJp!g#Z~F
z6qN^Dd6tR)Iy@rA;w@nM?X-V28wthN4JRwPR*0>ZYUT_5=J+1oC&n%<f@YRSeiGhH
zDak$Ex@2vR-F#WmoJB%VPd-*z|KlGa)7|GNS#E}%&f(jy*a<>Fq_(wklm(O>wzmUF
zW*Eq45hke!;OCdm5089fMcT+cjo*o;XctLs3^e1%rQ^!cQzUlO#CY%i^wR{@;<wX3
zCGz3ezbCf?*K%NJ=*wo!U=y565$FE+hZh3tE7$2?;6#!CDzWje#u$~$+xzDtFPfXK
z9k=7=hAQK#KW(2eCQ7|#1tNICx)||;n#P0OIy+QF=8Q0_z@uospBK{`?%T{M^I_G>
z=9tPjBP{y_9h}PN#p=M3dbv0Jknhm!Q{^|p&Vk$PBg4F4_uuh8qg)VMME)9GE;hvT
zXH3@I#0LtCR(sfKVc0ZnF!C`sMESY)biG+V<i6=8m%J9i-M3b8DSZY^UWpAmag!fk
z&fhWFG)017WUOk~Ap^9_k1r890(iYmy~$Bp6e+Y6zaXjseDq?M($5RxZQ1#<86Ppo
zzB97_{7xT@xp_X*?LxScoO-ycS{!!@S3hIq=!5UzF}>3wBA}PVKM$fvVmxbhR@g%y
z!C{AAo$nF>x$XRR#&szOl?`hDkk-dZS?hYa%S?`Q7%3`tmBCBr`n!b_bVOP)svl&K
z;ivPG@mx?24}wg@KeW&hbzlFo#&J=QzI0x=^Hm<Htu;|a*XY=E>G3sku^24AJ#=Ot
zR)o>Q(zD3|I<)BXuG9{3%&VS|m|s@H5dT)j_k229w_QKUDlCZ!o~LhFB`Kg15BXL~
z=!njG?=G=V3ioZAB*h68?9>RXjc%ZWb!T(O_0Q4}FPM2siBN@gT~yAuF**Xf)?981
zl10?W@l)wFYOony-p`?~4~}u8ZQn@psOo$p{c}YfJjZm{_eSfZK<}g0mQDrG0u>6(
zT$njMEGfHpKp&9`yR%ohDdFXg^&iYGXhN$X!(qzL07^eBe3k8#(Y=>`wsleq5~)R^
zT1@_0%QzTh$n?w53uMQ1JssRsANOd!VTg_DT!nj?bNlYUDZsLwhGXJ2w&C$c=n~%0
zMX^@}-)Vchqp`XO-n#R<|4w5p@A>sn%1I4X`4o<@P(6Gk9ccKt*92_cQBwiV>d0Gk
z`e-Uk$IZ(ZI1JKEQ8ASxkzl8R+B!Dgi0yQErqlZmJ}?8Xk7<B2(_apd$x}{gbOb!)
z{uRPvfopkMg$y1|P!6a<iCO=2&E;CGyCvwxzDLs9G?6yzDC)75jtbHC<f~V#utiGL
z&1<g~HZG-JKhHx)Vl%O0Vv&LJJ(GV_#<g&G#&Yj30X<Z289TP$mcW)%j`OSxZRBlm
zKQvKI!|;hj!!s5@Y~AkpzX95)GpJm<g--_^hvc6dwF0e=Lv@3EwZU${`k+uj3!b``
zvIYzrZ2nmmC#$B7S0Y+3xBk_D%-0W>B8zRH_i9$}NP`xV?py0s*Q>#$Blq|4S0-Of
zR7BiUW9ES5DAlGw6?|s%Dol{Ih0^MB&&>gv2u?pi4I?STcHv!Cpph-cEH_APIYfoQ
z{ldnOLV3(&y_sw<w#5ng4B3){%>1EA{j1I7>4`GEtaxQx+{)hitJ+hYS$E-D+$N5{
z6Wy@}i#A9UG-=qPs)m;95uMUqB;@dnR5d@gK^<GU=f+VLh_IN3U*8~zn{kqLY6&**
zC_fSV>k<WfR)ULtzj9-1#mPzN*}&q}&1DWhW}ay{C0Xmm4%REij9R82wLg};kU>#`
zrSow39ld|Vrwn`UkMThN4AQfhIcn{$;SHB*e+Y8gN!iQt0C$Rvi~UJi5JnqgoRWVM
z0ZHNfHZcTN*BXXKZkGnF@#*q!!8zhv2s=0Ro;CKy^s<d^lEjyqtC8)DY2tTJ-t4Cz
z3^?n!U*QWE2k$@6HL{cm!iKKk&}PWM*zJeAP49~0yl2a~k;HK#CinS|j|Z)=?+jV;
zl>!+Pripv6OOF$88Xaug8ZA*CYe|i&5<zQ5${UHAapD}U{{0+}C7g(?paU<2Fvcn>
zC89JzIHiQ`KkH?IUHK{Bb{!Rf#XwtasPPn$8B(kGzS11ivs2z-O#T0SX;<KZo*AO5
zFXKTIr#Xz?hQE8k<c%!Fn`<~{XNmKDw~Fj{m?1?;ODK!Mjh-7D4RbDkCoD7$xNT`Q
zh5z};mil>4U_1N6pYcD5vaa;=zqCzp<sZE`<O>JNOGV|mqka(~h1)i;oiTy<=EX;I
zoE*@bjd+otwLoxp$~c8`nZVuUZBn}@JGeGAILkg>BqFbxpU{gn#{27zX6-#}xSN}%
zevq_6#12SoGW%`>xo)vZ@mMzKDO24V4*erCU$j&vg&5)VpP<j$j%?807%6v*gB5v_
z8Xx$-8RDsW&FN7yHf#(P<J8*B2KO(L3%%in7&6cJa>#`Z5!W}KxY5FnjOYN*@nr*W
zpZj<{<tQ80_1M3L9Va&Z(WST@H-LfftMs{dY*4#&Xx{G~7vlc~@hi(2;Mg(0FFbDS
zI7;ho=}hMVe{h`a!D@ZfhpbKs8DYn*H?<P!Odorf-Ff$bi$1E&w3npLaiDZLnP^)j
zfFq}Nbl6SPF<4*G>K4L@3uI%d#Z5x!r)N1T=g{G&86R_FI~Nig@%Iyx$7S^T8rE6S
z(ad1nAxCqAmc+^*7DvK=u>rU3`}7c<F8j8!iU)mhjDl;eWc+74xq8t~55rt#!P9(v
zI8-{SoTn*<$p2alsv2~WCQvw(lEIIgC6$EDHE~2{aZ4Vy)5Us`>+5$J3c~tiZ|D;T
zNlX`n_tn0mA@e{Xdo_nJlmyp4qi{%LAb6^2B$0-VBd;U+6GhPUzU_g_unZ9IZ`^G`
z!!OrE@51v*=v0Yc<QSEMT7+-!NnRS_Jqqsxw2*PJDq5jgP!T158&972ro+^ywEkIs
zF+3@v#kJi~LcyP1?kUXrr}aa-*M*3KHPRyH_n0y)10D8W6rjO%#~F*lDG5le{jKd_
ztb*JFzBm1yX;`7m2ezb2;l`=JB%af%aI+q2yjw|wuzF%wFk~P>^*=hssgBWY8<WON
zbx~3zWARQx4hz$C(YwhS==@7_&7IZ7t&}&6hkOcfvrIi?LDGaXA8{zNUk?YBA0Id=
zs063J+gI63wQ$U^=g)@(I!^247mBDT<Ij4^PAxMXgjwaR8K>!EjT-ORc6$oYq2sUd
zl!grN6DK%V^dbC(-0dH#0`(x%vRn3g$T{j%_hH%quXS27R7zA)T6I^)YXcpmj1}*#
ztVZy3+4*IV$xTf~w(D+vr=v&Tq$|?Y811byhraS?;IP<cSC@nO2(Z);yqjeLVz5N}
zv=J3Y$E7=~-|A!N^R;nS4l@|CICuGYXu|RGisUX~1Lz%n!RMZ1j-|=??=wDH$m##i
zk|bdO+a7JU1OrQ49qs2i>Y$CTphs&rjp@VlW4)hyzZD8^M4nX?)PZBQyr52kKGL>~
zzIt-R8oNjOf+Vl#;9FIs)TeiJXdh>2KM?>HbYiA51Zgn3687fdf*!Wz4490z1NVx2
zF3vOe#a~WN=~XWcjRngjl}H;n-aF!TQJaS5*yqo4H*4dHZjqcgmo1X+8in(I(m~w1
zgI-UHsqj;2Y0ZtXh51j)5z=}caMTB;?|GmG%c7+kzL!j&+TL8gkg1LPzrQ`NYooyT
zXZM9m|7_7E(i*Ckr-d8r6Z`HpD`Iim=`F@&JJf1e**^@@#P_2;{7Z&1@b!#|B6Hh;
z`s{^?suC3u{Sppy{7hY!U$a;;Xp2pm%L4xQ)$uQkbyjPK2tpDwTYs0?LN}h{eSxJK
zen01%nL5RTeAgt)JzmUuu_8y_T^0PdHncoBg%w@3<Ff`UHfVSrAGDE1LA0o3X)Asc
zD&{vOOwQWi72g`g;cH5eh}c=sOiU8(Tij#1bZj8&^L)i(y8?_0{>$1m^_KXru0FlB
z5jgbo@r`}ivUpT|FX7kw7=ph1V8?0~K=;<tfzTl-jNht0JHgW36yz+yy<A5imA14W
zeiCS}Ff+@v`q;$PbncSY2Wup6PEuQ9-lNM)t$O`4Lruf31?l(MtYQ3;R;4yZg6N0b
zt@*FNG$pU)@+s40;Bj8^``KY(#7BP~9KSx&bg@_H>M=hnX5Q@xa@Zt*^UI}gWe<!r
z73!~Y$~$Wb&MhhrrPO$#)5$IOW!IOc;8uRK{x=r5@4iD^#EA>u)4_L=TZWnprpH6A
zWG!&`@}5kghwSKXO-r7t8E6V$^B^-h&>SwwZ*>zASYb{df7Vg=q3NV{r&`QiGvv2O
z$tv;wBO>*6)EaKRZE6>iY3k)OgCNP_SAX6Tp{Bj>kYdd1rp?V2PCkLAcsMvM*PORN
zoKqK`-51c_BtWG<X=^b-hpJ=ho0WNDxK)a0{#jF#zplyIF{%kjymy)(wf-Qg4`%A9
znU*(2ko$C#P8s8+xs}U@p*h0r=3|8~#+QijT;9pue~loM#k$62?JUvmxzKU#WdjlV
z#&aYr)Cg0LWAg-mP7_-`zYbXX`-~70_!}Gk#SrGoRv~AePZAd4rF+)gd_@@Q_PuiP
zHN?avGi^_S38Hp^o*cERmk^rl^BQ<(fRC$ocF)}!Clt1^S?_!Cj<B*Y+9Bj)fZ*qg
zZRt102$f0A;fXb$h#MUbni@aq<8#vClHxz31V`yHrQw}}#7`H!{ci&FnL1ii!jd&g
zJP!ALyzb^Oq2-f(!1fy*W$SNSR0WI@U2``N53!CC9xPWfr{n1e^3ySV89hqu9Q@>&
zxoezwFH~jIDoDq0<rQk`(@~;4^mAC+$OMtW`ECDxrXLw^8h*>VW{ik`JTv8yG)-&@
z%qZBuUl&Eu9kEUv<HX7AO8G66St5!37cH!ehVNAmL+s|p3CrH>vZ;bO!oo~l#q+Zc
zcK6V1E|De(+j;faLhT=f1z9~^L{SF_;L`sPI7!6#d*uc8|0F7J7;v9r=H~nw4yx+6
zDI!SC(edbwU&Pz*&tf{Ow4f;VTRpI9hG+>3Q;08LAex*iYFk;fuuP)}UfeKCxUW~N
z(&<<v%0K63#BS0=*_%mruCO^mQ_I<|M`?vfwEEGzaEFS=R|RaRu74*qN^0%oZu}!e
zc?~%{C8)>|XV<CY`$@>0+EXHF$%?gOTb@-XXyEpzSq0<ldE!jzB(b%b4Iv^Wx{PUc
z+z-3^Jj?1gG1N}p$QjImp1u%$!|m!QwesEPC-H|ky;I4V&6W$F2K^q5d{o1HlhgaV
zN=rmQZm0fbdmh*?yF@kkso|We5KYu?g?Mw5@iH%l58VYW!WNUN5W8;N75DBRaoBh?
zV{AkKk^$~DtO=^vZ`#^#<-`hVXU#Y{TNnvT!#h7pt0HMAQzxg54L!Ef>TwJbbTh5b
zv^J^Wz_zb`q9GiR;ytV}`Ie0T0RRC1{|uLhJJoF%$L+oM9>+TNImfZ-+>TMCLW)Q!
z8L1>9LZpzC-XscH*-BA%`aOv#tCTHemQnT&uYcgVp6j~r`}_HRf~avSQ@(Owr##1Z
z+L#H*A>!UDDFV<OS1wVfAqVA(ag*l_SRl|Ft-p*B0%y~azuOx)ur^yy@;S=}iK?16
zd2>Wyuk9LZTMrI=gS{6g+d07T@DKfo1u=-eT&Y~vgoCvQPiV6*a>Iq|J>Onmkp#*j
zwZ5ti2jBd*l`QbQ5K<fzIVvUt@s1iI;eT*&C9HbTrIrt93QQK(lVzb+ve(mERSu4u
zsoco)7XbEJPh(ZG9K7$6pH;Xc2j5<%tA`&Jg8aG<9xJo*Aa2kyHY_L)iVOS`WET+#
zADnaJY*B=SYsYN0JLEy;w*93i31Z;XU~J9QfQPdS5|&k%0=(6@V70R(0U~etnm2k>
zV16)My?<5_bcJQ}KHQXsv8VH21nJbl@u{<KofjTnC#a4l%gBOA%&lTRLrwTl+{!tp
zr2-R-Ms#xza1i+KpT5%@0+g6~@GLp0!F$4Lw62&u1T6p1&+aBdQ(?sS+Y=g)Gs^XF
z;e`SWS0~aWkCMPDFr8=cF9BNnU&=_>C_%y7YxmCgYJr9M<3EPkBnW!JIWWD5ho-iS
z16K;j(D6D?QRFTeswzd)UnHnNbc;}Xin%si)y^2+F4lo;xhd@iSvAmW^ez|6(gyL9
zD;BY<df+&(7SWWb4vA0walOy9A=pJpt=`QL8u#ra(GO{WSlo#5+;MI2$vtyv^M^51
zCyR=y&T7KWxPavSLNaWhdBT#b3V{1A(yHb{04F3^R{5V6_$|$jPB@xC+@}%!r;iCx
z%xkjfD@=mc+NhnA=co|eN60iOAi#{Qu&%xp0nXp<zYy(U3KbrC+LqA-i0h9&<QJp{
z3J%hqv;t;uV%c)SMvDLwHzJ~&*zl0Fzu31S#SF3zdvVvF)`U#SGt=?ma&QD6s8lj(
z2I=a_UUykFV9@F8&{aMuSQ3cY6H8|fmNPNLgPv+YQ+Vpx?>s?BFMqmuWy%bS#uJy?
zZ>s>z7<YWzVh6r~YMa#pGjJC@-pzUw4~uJap`!v@lut`h=c+BtAnm_MhUwFa@RP&!
zPEAiQW#UV1P-3eo9PKo-vDT3Xt|q(hlGI7;_Zw!)3#uvPsTUR)v*W;ZGM;9>XcH41
z&rkmMf(mLM`%Crvqyc}V>Ow*eJ+kc6?WGl?LZFDP(0HRb$o=K6c)P}omJ*D!dv2P*
zq8o!H%cL;uvy?ix#?6j~<(yC3ECLK#tzG2ZF91;+1&h{-oJi@hR1(n>;KVDs=#e=d
zIFL81((K2D!avMdjn-435G#K9qlz6iFP@VAslbhHA6zIKY1jjg+`daxiZKDBPv+2)
z7dPtRul?ls%^2*@__Z_B(*o&VrE$awZuGc(p9VH(1UhRDpEkSJD83mi-9<QV6xlO>
z*h<t0whoqiuq4h=toUla^R#lIQTA9X-UEhEf0W4f^4JK4rBmcY;`!bG^fWNy;|u`J
z8QkMN*+AiLQFp}iaUqs+%Y+x5`jFS&8!af+f=RqB5xL#OiCCs@3;w|AL-gj)t^iO#
zufOCA!`MCZA<|ePCyLxrnr05s18Vf;z6`o)>~!InwNnHqvJ8Kfoz$-j*@geyu6562
zeUm)X*Wx)*T$_^upNTF6o{>)XZ(ha%rO8g^^_(a_=gBY85*=76vg4EWTF0)W@Tx{i
zb0Md$Fw9L>2MDeDo92!GFxIN|!qz-4^vFXFRi|h}#D1+V|Gzs})(w~2{7&5H*q1r`
zHPPLB`cUxlZV)X}Z{Kp>FUf<vaT&E78D!w*J5k#)Lx(Oe|5~rj;XziOqtlDZWU$dK
ztt~&sfSS`CTPIC<k(E-;Ty>2Wq`r#jj%r{;rC|{V&u;RfmoY6bgKf1yeUd07M`A|X
z^d!517Cw}jRDyH)O9H{7uzRBUEGY0pgVS6&KYG%hG5X{_3G}T$y)RT^L%h9>0cUFj
zkhXA<TC^bv8iuX<J1g0dzkFqeP`@BrS^X>FH$#MMD;;}hXHJx8@jJIuP#FCylC%Ai
zLj;`OyOAD2ZlvXL;8>`S2wICMs>8bzVJ9|{)-iwwy}YOUab`>u`2_E)6VM>SMPY{R
zdp^9#Y3rKIRIoS_&sc!{G(<4mbL^LR5FhH+pymo`NTOgKZpQRM0+_Zm??3l|AFXIG
znGeuPqk>X=?!Wg0*cYMl`|~>il($diX5Lj9MB(`A5Liioj9ZZtAq+xD#J|9e>8322
zx>LtuSVe$0kCadO92Z7oPgl(UOT!`6(+)nVO$1PL{L<$8Nd)zUUYBuuFNeBjHd2^>
z5#ZbStyS7XVrZ{-S-146Jetk3_F@+y!oxTAdrYUq(aDp8s;%0JNUre7+TP<t@Q%z`
z{Fy3=8cP59yb4u9Cp=`l&z2KG*P&x{<+L>7`T6{SMKc~1uFSm?Rv^J-cWKR9x(q52
zXA}F!uY!VIeFR3Hkzl9TTTbVpEb7M@jOaP3B5t*_0&)kn;58O88<T)TQeKU7Mu}=j
zCR{guh?NXFewTf!66H{Gzj3r&jXHYR?7Er!lMJ*+9x-h^l1JwcNF}e<Yaou!QdhZ7
zZMZj!`~5vt0Y!Z2C>zhwM0z$By#C*HU?3=s+wQR<`s%n+)2u>3Z^Oo)dC=%Vv-#`r
z!aGU`KdnQxbSEHX?(N%Iy82)}b|A9U7mv{VA8U><0{YGK{<!Zo17LgWE8k5~MvQF>
zgFP1rC`Xx)_MzPnyxFCG9$ivKWd{=KZ<7fqrev(jS=Jb+tD>Q|Z>gY&tmr!|8Jg(z
zcG8hQ7xqABQ+SQWstOu*_dL85rh$yhp3CPKQ@}L!Ku?{aDq_*t-gIJ9N4f>I#$8?j
za>qoUzOz$BP76xMMyyrQYx?&t-=+bc*(h|18K@$<EZU)ETV-@d=+Dj`XA{_&2=UaK
zS3%UXOFKJwB@}*1DA4(}3GB10P!<eULC3FGI@^rOqd01h;+16+`0sD$UDt2Q$j&F|
z+}GVXz{%074M{4nnazKeXI4h|?7sNseKP25T|wR{4Jy<Wt>M#!@F<JuK0#HMKuJrZ
zL=ij{sI#-U5f&wMmDPUgD3b_^xs2sna8e<B$LsrzF$EN6b2e7VNB{{R)L%*XX#&!1
zv4#3C<xvyWp#M$}56bx?*fpGE0!hYuneX_?A$9u6OXuFQqpYy-JSi6wc<@;)_yG}z
z<Q{&0HeA4jFf~_EZVnT;dycfwv><~*oDK2kz35O_*F8t_YXHl#73YQkX>=PO+`>P+
zh4nsE_pNpS;JR_RDMefoy*As+J>a^ArI~*I-Zw`9LLJ%Uz;`he=juiGMtKQiIP1b0
ztw{kJxf-Rrm<XyFY?}(<pU1*aY!ue)&e6tGQ$4p)2$5{pXTHw-!F<`CJW+ja3|4L9
ziaGNFNU=U?mBDEmOO9YG5u7!GKM9{l<IMO`_4r)Gn(`E8*6pW%lxzeKeboFT-twYk
z?t3A%(o@)>fVtL)FhkJxqPJT<!GnB0V|5pqrm^mW^%e7<4B+1Pw{M<Xav_P{Th&lH
zgC(OMHs2)-AY+Wj=7b~%O7;16k8blXHo|^I{<yzB7}ym?#%Z&m$;KxS+DGOv(<Y!?
zZr6jqb0zqIcovi~9-&eax`4Ud^H-D6(1TE_GM%10GxB>-bVZ!Hgq`-bVzy7vg?oOz
zC+8O!(XmU}es|PXu=Tww0<@bt5N0Z^F|fjb{yuQyO4D7#ilh?FMZ9#th=$^ON{s=v
zoV2lh<GO(b#Q99e^=ZSxUpgY`KYCQf<)=HJ_YZ5UAOB@@NE@0nO1|%trbmu4b>)d{
zJJ@Lv<?xdq$xx|eH@VzRhj?<YcHjR%gKF0})?V!;gLvRj=;&)YR75n+iWQ+l7t}t>
z9r~mN_6>R8g)8aMV{iOycPKpyzwR}nv&#{itPatY0XoE_@*pr|nE@?3=avNyl7PnP
z&?RFWJxVxYr~m0D6N=?+Iwo_T1P=%s{milSXgg`L;)FU2x>f(S*qVj}?)(+AP23Eq
zRCSO+Xn_?q-R}yKcua&7-o}0w6$~im`j$CsH#@Q&u6R?eLj=|3=;Vx0MucayU%WNQ
zi2}!NcRThGz<(zJ2X0I#=}?~L9R?m0^RG_d;5q^N-$fl6@n%L3x^q2VYw{waTxRWO
z8U!dMuom7<WI;9eyh;l%@uB2aP8G2RP0+8kQocFNit^YW-SukaN7vZZ6jOCI;nv*&
zv*U-^QTKVl;Z+ksv=BF=@vBM$_6Xl;_&&{n`YA*1r@jfHJFJ&74J<WagT*n9?Ku~M
z_144rQ6i|KG(wAYN*%&Ow?4;O^B~W?G*>Dd#1Jw0v<u@CbvW}%Em-LoFY1*ps5@*e
zfiCIE3F6PFLq&VldSVzK`f=k4j=^0DRi!_ys4`K9n|bw`9JTxio$MP3w3R`x7sc<}
z>#0M$>-~kde1a%hmCM-ihAgUzTnJpYQU^D&fwtx-A#|{8utlsHhq}t`kFJEO!>|1=
z^Adt0D63_BMPFJTW%;s33v{XjHJv;2;yY24_?q={VvGWE@G{yscTfXX9d|B>#fhV-
z;LOj|9YvJ>-J0k8iU!<C?yuaqB#CU}f4=m(fk(C{b@=MrHNj;)bK7z^H}3S6n9%X4
zAmi^QEaE=9{oZOzw(6q{TL1J8dzqn%{D_H~wY)?Ki_c2?Jtm9JD!RAbR#itNu?<$w
zZ$ubv5aim=CWrpSM<lKmX`q;b=U;~_N$_;-F*4MZM~Pu-;vK96B(Ah#cc@MabgyYK
zSa>O**v<5^nr8&m+fT5b9wS5Ki&p`>yZoYN+=B>RBDyhhU$9zT2byQzryOfgLX(WT
z4@a|!i2K+}F499?FtRTCwKR%H2k-todFvMuIazdsZVBnbg>@dsxjE(Cd^T$I+a{uH
zs#F{H%m5yiZx6p8RYCQ~1!HrEiD<xU`v~trBOn`W{>*x<ib6~F#ecp-M7|$`CyVEd
zVf?!Z=TB!f6uN#?bYqKvnAZ{?^xdMsPJiy4f2SHEm`!dn=@1alC&e_rC;)-W6Wv$%
z)RE8oj|(h*8tB)1W@8z$3E*CrD;5f?qmD1}!uk?w=(gP(dAe2;n7CtS-0?#VWhurn
z9=WEBaKyxGTKlLlAW>((>8*x-`Z_(Cd!dNL&g9W#=2Ag)Wosy@Ru!?8FkiX$Ne<b+
zQNj(5P@z%fkb!Zx3gS=}xTf?=2Km2wqpC_{3cU_V3-0ff(MU;gZkoOXYTYwkY`;T=
z{I&mvrf=d=LGKAX`<4*;k3odPev}FVM2-CG%1TJXC&t=bn-5thB{nbYdd=89{w?_`
z1#}^!ANP5Z9Su&f)1N#`g-P5I%M5*a<aty2D*tT;#QSB!vW=e#((jYxq$+Ue^!?yT
z<&=Mz<@0qp%~vLn75A&?H(3@PHRQNpeP{tYZ8D9c+iwC=&fI6u1W6+<ebuB$!7<E!
z%I>1h5CDVsU=CNd#4cZSg|T<7*e!=o&+r!kDBbI4GXILAP{X4`LGrIDU-DdH4)0K4
zkU<9;-Gou+u#Yowr<2kdchx}(M}cxT(PKu8f+$;l{q)G0L5jQIlw171Jz(p~pCaDH
zhwgaq&j+SqihA-|`+&bOjL16Q7W&46%4zz#@w<K_6!1y?U5*iyx+Shh({mv%F7}Ii
z!bT`<&mL(#88C$E2R~dYtJ#pjgO19Os$t5Veq<UiVhBIZTeScFz>E^upD`ab|4E4&
zFsHlaYyeK*oG-a5G9qo|tx}KtLCQsI$s2At`ta=f-WQ)c=}?q|jk~l!FC`7vyF9g^
z2m1wk8`E}qaDLy4&uPxD6i}A09JbH{ebe9rl51O7g;%4?ksB?P|43|EteLtHKd%`>
zJFtO;n?NEyA5rMHkJu}2>p<bE?e>Ps8aCs5t-N(8k5YdH@$I<kfb=FdSp0n%yY))-
zp-X-ab~oc|#>r-F$Xh!+b$W6UYgalZx!Q?gdY%&zB4lltS<o=kG+)3vKTcox8TJV?
z2;v*ueoBU4cOULd{hq_V81Cru`*&iE?xnaHVKV$zuay>-GK(pSIlbae?7{Q`sJV6b
zwBSmiU<>s8!932?r~2d%Vxv?2a`x<6Q20a7EG2XXJ3z`5a_j$z9dIx5cyOBpgZJfC
zZ$?aGxn)cLo}M1XX3s2+o#G_HjEL>Znf@s(>1teT`TRI0u@N3t@PG)$k@t%>BB!u&
zXG;!;yT38syay(Bl0?YC`=y&-p2AK(3#zR!oW`c4sdm;y1UM<}Uglpoh1Cgb9CWAu
zi=~p&I-(2+;G|yjqE%`d+qv}Iu^?a$JJm}r`;n>%zE>aHWPX{(n3qKzPH)X)iTvHh
zo6Q<<B4oo_2hCtkPsPlu(iXAf)N?GB|I~r8`b-g;{DaY)H21D@SjL_m8PBcKR)=)y
zj>|R&XR*M@ug6PBtC$r#iIEbZ1{b^iuX<dW!&13eR8&dpm={h*si#I2R6fd<2YSq7
zMxGW8T+W-A_`m|g4JK8H_*Imh60m^rHouKZDBHqh8daWIJF0;64-@a;yhV&|QvQI7
zG!4p?=uh4IQW;V`rSLMFOBh=v4=*W_7Ih_woloFWhM)O+AJPY|U>CN}&EzrCqgCpY
z4o81HG<_Dv=)~4A%Z<cvf#(b;@5`5+t|29OF+f-8J++RN6f}s~g)*U(DVYKXTP67W
zy-j>`Y7={UpE_{s3JaR;v+*)%Q3TWDx`(Hww=t9WlXm(~*--iuT{hkWieTp-Dz#=o
zgOm)7=zxI}oi@kEx%DW3><>FO*(bCpd{)D?H-j5Bh7C$?dMf}w55{FHNRMzq>95+2
zcl*PU2M0c|C_rj>Z_|r129(|#=ls5%4{1CW_W4~Z4-cN*jCmf!gcv>)dCf%$Am7X*
zQSUwFVaJc$Pk)XDnaEjNWq1f7bB)+udNp~Nc{4|NeU}ZTY-GJ7T;Any+VwrpY2<-E
zfY?hv&VfQa?)9*hiJ_6HGz*pAa-c>@m$@9kje=CQbFaxsqPA!Od6#iHcx+>s*DuS9
zc>0DfJ#CRjFVCM4Dch8TL(dQDSr+jjE8Q&agrl;kY_hk3q$v+6l8Dy(r~rDa5m2}_
zhC|1*JZv7{l!u(lw90XKAvCrnt$z2uJhEzvO+7`c03Su{EShm5$jUUrYSUQ}Q5=0g
zbQLQ={u@^NF$*yies;P39~F<<-&E7{#VLY}Y&M-pk_5^!n)CZ@s)8gg&+~8ODZw(?
zF}RaQ8j)Ss&m3}6LsExQheTMEp{vOMs`h{k8gmx#j0x93w{o`AT`N`KZj8OdDJl+m
z#I2eNA0eROpvxCgof;%}9Fv`?l|vyzt{r_IM1);fb-y8}3B_8W#|q385NDfi$L4tw
zs?_SfTe(VrpNCd8c6t=i<D_0<f{PaN@l6bFPawe|pc}2eh)0c{BMP%>Wb}L9Y!90o
z89r=;kOt^gka<()^{qBCBJwt;WVq{qV+QNQ!`rH8<e1pG1(G)6yh0GwO4NhnzqKx3
zTvJ1Wr2iaT4{9URx_u?oF$1t(n|+rC8mPHVvLQ!68@a{?4NqAZ1Dik$ZT1mOWYqZU
z=Djd7%9s9TXi!K2UwyKrm>>ZyyKRUvL~EgQwp;vZ8vtL#9n+PL5m1_YlcO<_gnW3p
zzI|b(0_StlI5j^4k{Tl69byS+JElNLdX);9hYy_=bs-@3=p%_0#_EW#nHq+xHU<3$
z0m54%1XNt%`YM)78U0h8-8o=s1`=#~aV`fn(Si2NGalvgNP)Yr{ZWn?ghZz4o)gkQ
zC-@e}!cNN|t9>@F^IOc|<@@ME6Nzf*O7U}}nd>5GpNIbbv-M`cIxZ>&Ju1ll{hw<m
zCU}stIgVs;&kWvtF%)v2!6VjqTNxcw1~f@b;S@J81BOfI^6!o+qQtG40$cJt=6PJ=
z54pt@W@#2W^jqYS$O%UVvO+z@x$D=75Gzwy&Som{d5J@DS%Rmour5&Y_g97uy`@3`
z?|y0HbQz@dLuNAR>^3FfxV1X_u3yj0SKbshltiub4?AB?&;!TA_QhjqCSasjt)<~D
zifU(NhldX{!!r(riiutSWjp?;T=T0S`h2ppwz!-X92NQEu<HQcnVBIpp?v7f^l8m6
zChQ>GD0oY6jRF-d18LkHT!^E|<WK~j18zBA$CTIi!0?p9sVFs8bVK-}S;zwp7(Sz1
zmd&&WXrw%p(l{B=g|$pFT^<LxYNpeik}-z2t)=oYecRa4xOvbH;{bhrHJcW5BX~=D
z=<N8-6|7)OHnxJm0at~i$P$5uu*g#tcUbr@c94N6=kb*t);O5|3x8>_>!F?vhsu9q
z*N6U+WG=Hq;*Lv*!je9;j;+5in5)N_ZEF6zD8&xkR{CKFKp*JDD966cHBrnyKRT!}
zzy^}k=clcA_u2l@*3(bq9~5=Z*-GA0Hh9thEGB+d7b-q1?OQbcP3c=n|0SEt2Hwpp
zzmsis;kx&ecoNqf#mBkDRjQT^7(N)S(ADgE>$8%MyV;AByOrt1UzXWGeEe(MHT-Vh
zPWVeo{kuX*pH`JV>c9?O(Q>wJY1(joN$Ao?nhlC`kksD;!|XsjrRnfaNE=KWWnC^#
z{G&VxwQ}Zp$N{C1X$r<kWY8lX9T_Ozp=hZ^zisp9gkjOc=0tHa99Ey+r>#K?9Ezd!
z#n-stmS|mVYOWR}aa9K&xK0OWd*T=eD!4%>Hlip-TMHB?MUn)*(L>$Fuc)u_JdnTB
zd6=_>1Zr;0=lE3_!RE}ZRB+;j#j#)Eb{@OAar91N>}@7s-(b(Wv4;;{8>CR;m`NbI
z8Tu(`g&CZjt=>l(@xyVCG?vX0B8*H1slD)Hg{z$U_Y95*z$xlerIq7E5Y4hs{7lCV
zHC+PVYhnd~ZNB>E=&lEa*nfKIT*Lt%u4;S84hVtLg~r!=+6f>lIRE(7c`mSFT&=us
zB?4y>nr%`N2%w<#*XW)i59HR^2&?poLdggzCi^4-B0rBWyD9NP&?WbeOEKaQSk?7S
zT89AcdEY;rFyMo%b4x;94w4|9X7h1fhyXJNW}-{3{7^QMV}8+68bFTgxjsDs(l$e_
zBhmz*{&$c=REZ2o`+RyNx~2)Q?;i1`{1t@1o-J`YA7z2}i7EdFIs))ZFwL1b2*W;w
z+C2_SIQV2>89gLIfJx`=Dwkdnh>tgMr`zR__mUm$5`_SaXD7YI{lvgM_D=5mD+=&!
znLW5Mm;k<<S2Z%^B|tT_)+C@+5#B3~b*MHIVCd|^@|{^pfYJe8aTPpN>?g=`sS{y{
zJgWZti!{`?FztDBM;Vwr6HnL_?fN61cEReH3{)3}MDCeYfg!_`_cbOYNId^Y`|6Y|
z%ocMg?cJ{itk|1?z9kay!VgNyDh@(<l{}OltAlQP=iaXkS|CBY&$*XX9<-f4J{;)K
z0RPrvA-ys(WGdvgF-a+aR((~z!nh`A+tg__ztM(^Hh%Ma2#V0k%0x5avFpA098|qg
z9T*xeefGmp35Y(rW^@<<I)k>AS8;l<7H^XD$Pf=PR6Q$}Wdg{nEvs)|(Fdv2Z#q%R
z%Alr8=DJBwgn+FP#qvP|D0=L-=(M8@K25$%<KqN4-|dT*Esel$uR>r^g$j7xi1OZk
zM1bxPt;4#N#t>?j+fA}m1zH|amI(3P_pN9+CdDWq?Yfg}QmP8)MT}Jo2Q>f}6I~Fh
z4IsPz)lPUy73_p&6LOT*Va8(qAZiClQ4?^om{SEY!sl!kWmPcFZhG?8-UNI^2C{bE
zslrcRS?yEPc#!<$=KcP?31G5ssir4Y!BVG2+agjC(B<0&nxa(je>AQ0=c5Wp94eEe
z(8<HQr2o$49;U+6&)a>ej4BY3eaq=qxGZD@>_5WmPXz<5F++c0WtaetlHOg^$d<?D
z-VdSzy-AaPBO@OE{Oa<M4iJSmp~VU&9#r_*IS^6UqX-Mb%zLd=1i}5e*x|W7R9Fc<
zm2^K*0ggX;+@rLg7owPSQ+pYyki)0nGioXiMl<|F5)JI27In?i{;dgoJ#+bG?hFp>
z5?b2~#u?#x-NTRB=S+ZUHT#eLLs>X0iCy@#Oas0D95w5BOd#X#NFmu&28y(kjOIJn
zDfy#}Nro>0jxu&e#jHp|N$j<2=EoN)6!BDFOY7Y;6KiU;jTDEnLj?+5RWp>vc@^IM
zZ4_|0yqO-UDGH<jqsKR`#wm|w!<p@ADX<3~&}h;L!`JJt=>2$qQeG&SE0yW&`X*I3
zcln<H%=CV=e0r{rGR^Bm>hUp#O?|;+vMfKG2vBvKZ|kDi^~FEJij08vF0UwD<b@GA
zYEEDEH_ElZG#AckL$JuSCu_EG17$$mp1-V%Ld22|N)rs>e*gdg|Nj)1XFQj08;9*J
zd&}PQH|%wPjZ`X$N>Ry(L`xxwgzTo4QEA{Gk&so~cTy5UTPcbVk(H6;@w~lWTraNA
zd0xkHtdrId&=(Ly7tiDsmbD*<#PMh;wWAi;Ai#QnxWWgWmR9!;gD%23h<meklR0$4
zYQ+-v@*w4m;1%KI9wM2`TT*kmIc)waPgW;#L32a@QLP=l#M6vAC!R1fJXTNf@&3kv
z<ZzaFznFf)v0w3R$!k*tu9NAVJHifr)|Fw(-9LzmozF{HO-!L_B{d|yk_}=C*+rN3
zjSybjgeyK}o8aRnyHD|}SaEOV{sX7d#|WqEx3??vm;n4$`&UM=KqW6zgNU6VVrpow
zE5nU(G1YTNXyGDpzP9^hZR`}$ZC`jHao7m^*nIg_AN(UIvopz8FHRHCe$jl)*9dZN
z4%Jul{v)!o0$d^<%@X$Qxv`1eOx)!USRsFVf#5DGDR?&bhiJ;+Y|ipxLNa%&;;-Wi
z#741g{1q+>L`zcJ;Qd|(4%MG3xRkL#d|%kwCH-`fD3Q}meHO&P#(YN&=I8?9rKc#L
zug{9$Z@KcHX6W#IS&)?#`HwK{x|=MU#)hm*MYQQeIu=!KXl}tGAvEcF_#6ud)+ZK=
zsmarkBU>i;aybiZ`1Cn`o#I4^!`s;KavC^Fn^bZtSRgzqyLp`{H|~A7eU@(n4Uua-
zTE6UI#l#b{`M--i_-8~MS?o0gV=rA@+>#Bl<=ubdhxyQLzbux^&=7LPXDcMM*m0~r
z@aN410r>AW-jESzfa({!!r7P{i04y2;$$I&`f@Wz+i&{dAQ!%4J12rGMy5Jm2}9+F
zjep)6eJC0vNJjm~g^Sl2K^!WgC{7gKeSy-$ExE3kJV_qZXFOiEm?nmX%RR{~c6tc7
zm9k>w4lfd8%EcrkC14mcMF@B3!b16UYMmcHF3qjrx<yJNLvZ1l(tcg26-Pyps|6AC
z#D$$BO&XN+#;msGx(IT%So_RV2uEA8FU3a5f;trZjJ;b22Q!Q<2VV-KeeMpw!zFpt
zn(=;`Dc6CooK@LTUQvv(DL&Qvpa3ry){PD~b>Q}3lZuX)7#{iO&2PV{gloKhZ+_g-
zK`trX5!E4%>)C8a_l+t;FGeidqfG~ElFG{Zyd{x3@KI>9iz+S}d(%!x>cV|0>}rmP
zGzKP{yDv4Wp}{ZiUqhTO4q$V2;a3?b4L{BL<EnwYZ#Po8<n@rU`J?mYS8_O2k|@1n
zOcMizkro&F^boc<HRIE_94kKl-VvIu4R+AiiS+6N4|jE`^DDt($BtzwuDTejtz5lk
zxgp-aZjN5fR7URJpk`A6eKd1!Gd{MK25MZ=QZY~k58dxd=sz|<<)-5CyZUtKg#5?|
zEKmjGQNDN-lZIU~zq@uAF>s<gfx$DShN>;6Z%572V2~xT;+HoQ(@)CmKG<qN%q$|$
z^glWbKK99;uP}mwftc&n)0znI{9Eg9!N9&Uj==$%33i4&<ePo1h3A2@p(c3@)Hmzw
zPH#1ZYw;P+5I!ATY&$X0@Qnecqq66h1amlxB~RpQ>%uawy!y=m1GnUFXvJ={#P}b-
z^Jlg6z}40}d#jj%8+JeU7wTGrUtV#==)%$*r4Ai`&0xUw&kgH!i#E9PS*-t4jy_l#
zd#WrC(ea<Y#>0S}KzcD}`axa;49JIUNeH1KeP?WcGR+o4A9ITK(hacv?Xt$EeFmua
zsr&tD&=$ilnC30w23Yre+UNWgUAV&a2Q$tNqEE^bjZ5|6A1~!>9;Jm-0-9VL^LB6@
z_6?`=>*Gq#)(8blbzBR)@P%4u4}sdoR0%ab%=oM`^BPyiz4kkDT#@$pvPJsyJ$7Bx
z6em}xA6*Wa)$Z>@<L%+X{ZRH%sWxN}a9rozCxzBmUDDh4+GF&m++$NqE%Y7Q*>a#y
z1gtBWJq!zb1glhp7UgR|so>{ln-N}kTuxZeKW2xlq-LCAQ-{hJcgH^;R;0#Cf0Vdj
z2eIVrlQ%Z0BHroaz~^mKM9cSl6%$=MJl~pTcjt~WlJ%b29OnN@L{}$A)>Yf$@Nd#W
zhD!-Kj$f?@6pBf+slYvJ>}_$M5&NCxn>>=}%#Z8N^pHg%s+VeB04pU;@<qSM;A5=;
zYg6hlS>+_=YU~PZtg~=Z<d%ZvuI@>n@^SJ=q5Q8?6$G+rO_hn>;^1`q+x2wI6j?bE
zDn8z7gAz}kih^GvP&u|TV}9Z{d7oGHd*`q<I2wEeBmIP6@*3-3J)9=**Q!4HEo_aU
z-}}?-H}GR@6Iu`TO_Q#N#ZymOTfxHWLip~R-1x4T?Hhe*nsf?|u|09n5>M=7&#Ad_
zU_1MtyyH{9$^NJl1EqH@z*Re<U$C7O(Vs5r=gR&jd%Kv2UyPa~vuxJ^zVHR&q?6E<
zc*QBQvBsw;$kZHPKA(<!(>zNgNA7;uFFr{=c_q5jG{FptKjp^;3#SO@j-zLjc_zpr
z$^R5PKAPg#wk(YT-f<%E?I7<fj&YJL>38BcBUAWQ3cY=QZ<r`cdwy+?$QU_nZT&+2
zf(bPG=vP*W_Y+SJU-Zoi7$sK~{E|1HHOA*BxjItXUy1E10<VsA|0I2~rjO0;G)AMo
zq2|MqPU6<O^Y<Lj43ioGUdvQp8eyyC!H6$%uZRQvZ{t2k43PzOoi2%l5w?uZ@c4dy
zMx5gK`ywaj2f6u7<?6X|CYlB9N3SYW5I1+P2p(tuK`tuXtK49~1WR@8=}GAjg1pCH
zlX7d2Y_9h6+*`=N=4?*E(L49ax~;WaTB8Tayy$|hdU_0$d*3~1;`W$S3gM8Nzc5HX
zWxHH;u!N4%T~~)zNj8y#JDc|Se;*{*2zXDcn9<>9aafl}wVgEHqcU-M{||C|#p_DV
zCp0+QzYMpFdrdZ%x^V|HhsZ#)7pZ~&=birDbooc`Na@wS`a1MsGSS;RHvg$19z116
z2X}Rn&oj(ETn_w69>04(GjG%Yubr-Sbc}bAcNIB5aDN#gb$7I#C|YiSk(hKUoTG<q
zE+~o&IQxqf6Lh<f?W&JGT<gp`E`23;mw9UCJ{}{_kQ<WRPw7GWa%W<uaW6UbSuN*J
z*Eo6o-RSM7t-4Ujnd4a1-$x$zsD5oEKS{QiY!QDYrVA&{8!kr0{bY)}Tv*kKDe{s}
zfNQXq4(imD{VUE7l3s%%$2JO2lO+P19wwD&!`o->jY-B3S(bYC_p0U@vWdl;Q0CSK
z^+#f(L*q~K`9$zd=ZZN}^?i}8iLVyE6-X{^@-K4w`~~;xZ|BJtk!=NS4VoC#ySV+)
zhcPnR-;-F>|3^x=yfyx(s|lva2|j7-3G)2g;s{?K7V2zKwBY9}8sIR!obl!HBzfn3
zyWvb5E4A6LuqvHj1GkkbpSJAzO}3AHRu}MPr|uoD3EvX0j@FTTd83vyq^;XejrEG0
zRR5L_3WwO$v3%bug#z<AGDV%f>m?62rB00}BUugR#vlBfcF&WUDwdXus=QQJ?!QJ8
zNj1cFxfPy#xj=F?wyk**%1;?|b}J1n@#%&aQMbyBh1#-M6dKIFjB2^QS3zu*DxMXM
z>^)b&O5KyWxz{UDm@=)Ydv<YD1)4FQX3@6n)Y}HGzcW)J)X}`N7Ae<NARO>8w}yq2
z;@_T7(w;9yHKyy0I&M?JeD5=T;wKl?ZYy56=cEJ`_~k)au!agIeGeJA^6*k;4+L%5
zdrpeV7_)DhT2#iP@gqkQw(?Vo^0%TcwaHNDp)G7XtPHLWiO~mrf|PE>0mqy6@|3dP
zfg=V>=Q>GNRgvz()P4KT2U_C_lvw2WF>Q7g^vx80diF(xTF5TVtQb+EEZ+4J4yG#D
zpL{mFKShkX;(SB%bgT+>V{6gQb!jSanst&mx<i8Ui8eVlXR1bJ&M8cM=T^mD@$9&H
zPbn(+WTme9G7W0CaLinKi7Kq*PvmBtl%ZPJdWP9@Xi??*iZQLH)S$bKvzzO)9Obxc
zE>K-shtg~7J3O7Qj#*Q?LNi|l%BfG~%$F5<)D5S4-_<;t@MPI5%Acl0`O8)Y86+A|
zZ%adybE>ppIBg}sx1dbTv=$~u1=1)38#`aoCpwr{*mI~mR+Z{L8^-5#nogZQ<GR+3
zt`8Z_=F&`Abt*q;QyW_WgX+3yr#`?*1HH=0_$8@9WmXK)#Y&k}&gIh|jqlQ74f_7I
z!CF-CEQgF*rV({0<5_xK8WR%sw%;eDbSRygsNaij##C`_Q0|-C#^4{Kb)KuzrNVp<
z$!}^mrh59Ae>{Gff=kbl#%8Ba9b`VQf4gW*mGGYoEAh6#pTmyZBl8R>&pVACFWwka
zjW3S)?)_<n?AqjWChrX?&t~oOGY-a7n)#}A9+3o6C02Kp_|T};q`!9h8Y5~S@1AzE
zc|e~Q^5@Qd8Z}>egX8NEgQAk9=6jUwP(SYcaO@S0%Dk3i%&AYOhD0x~=1{jsZ$Svz
zT2G_etLHSlRvJ+KYp3tE&e`MU6;-pZ$7$5g@Iyhot=g2y)*YiKuQ;G@*K5gb{7d(U
zox1;5Nu9bkywW~&!2!WnQi?uw7*MHMks=o&l&D$j2TT?16-ba7<Rq>1Dc4r=6d@!{
z^?d7i{#|heD!r7d<@|N22S!(h?llTggY~SN{tP<ceT&VE+YW6?P}VphYYi)9v5xz=
z<0%KcGupLU%|w&Ba8}_;dqOYyn!e($j-&(VJ<kh57u2Yo3s3*6Ec{NCdzH8(q}fAJ
zYuk&MdKGFJ#q!n1cb<?LG7uJ?wZk4C`ihn3lqjB9)0%zC9Qf9}-G|M~4qCk)$1D2f
zsp8jtKTW22a5YjoLGYO^?&@xP(bO$X9l4_KDSA)<%I>F699i<T-9#H(u9O6I^RU$e
zkyp#GRaGn0GY3mPedL1O1rcg>M_;FdjxfZwrx|^d1PU(1NYs}IP^U9Q0uwI@<FK~d
zHz{ob&$)+E+@5n$Q$D6IJsN~@`}+LA6NU|v<E)!51+h|GZn4kOp9y2TwTHi>lQllQ
zXY1n7nj@#zh_hwh6~>U!>90-utgy*^;+c5J7%5@mDAg7#4575#D{j{<@n2NpnqBr^
z$??f#V$oF??oDlLzJ0Vnk~ZH5ANd;c*k6_CHZ@@w6dw0Ep=1GbW{92psaFKgzNLry
zD}>uBu~lyS%@NzPdjFP$J|gAU5O?1*A+WMbR9|^!2A1C~5ka}5gzL)F_C_T_@U823
zS)^`;eYwrz-2Ib8*5vQ!Mzuot!qa|JFwGS1d);-G3(pcZV&nfVj0<7JHH+yyXM+CN
zui4bMd1Csc^CG8~Fs`d@3{}``0zNf~A4m5s5|+k8IqUZdgXQ3gpY{XB(9kC~uJvZc
zjhkUN_cjS5N^$b!l>lS7a&F1UoMywmb{i!YYY`~@`}~$?)Clr!b*_0)9Pniw^E>}s
z1XdGDjpvUV;WC%>-0r`euwyS8$`2L=+rHFB2SFn+GNs~uk8ooxlk?V7Z82m8BnMjO
zF)>it{i0xLK2nR<&V;jwqsu@mtZ)SrK4Fi}PDb(}+3a5Xrg3rT4u<-_9A@Cj$@rS9
z0s;t&UH+bBK?3<{Yb<82FmO8cuw~s{LCoygHKU>?g*R>yH<H&ep!dbqO>?IZ8pZ@w
z0|TV-X-Dp!1zrZcUUKd*y(kRP>^{ZFMj2Eb_tWZmNk^hc%l#vXA~1XSQ+dom4i*c!
zv+uI$aQ+&gwkJsx6J$~c(Ibz2$)j#Lhw0#b^^N^Rh8S}F1=rlmP(Y?gDkb4g$AMhd
zHKLEik@TgwIonJLGlj0^`YY(za6^8>x^W5oWjS@qe5vOqG@ZEr5OjpqY-KUBkiy5n
z7Y$4+6+}c>SKnPl$EGvC9nM~sh9<R<x7t+|Wl4@L=XTO@Ox7^CpH~))^7g^R&?UZ}
z;fh+8Ob3r)vx(n1Ib?+HjD2@g9k=7g<g=d8@yPH}bc_CSTnxCQYx+S04&6WXYD5_5
z8g`EI`l5hz37@scM73Zdax-}NFaz(J`M7#ql(5RUcEi<m+GsY}FOWIP0AI1^x?u}t
zG*j0juE*=Z_;UOj&KM@#4@h6^)Lr89s#s>ieO+95XfLX&V}#X=?<!Tws$d~jy<gv|
z2Q^pEtYafa=npFSDj=(d=y0CZ9PRqhYnI^SdSMJsEw->$5p_&6OJYBj7+`ty&cTT~
z69h~4nQi0L!0#K=$tU~`(eT*iN6HIR#KiTboEp=>-?IDvMGhFkH?N?BeaH-LFJnh4
zUoLsj%H)Uc5;UA<)HM0aSfHI2{-Zrp3t^@f`Rw8}Bv@TxB)M7Q4$tJ5%j>nF-t6M5
z-D$Yg2ig77=dGY&Ne_5AppE)3)SRJ(Ay)jdk$=}}4UOb?EXQ`}fW_+Cp*2nhxDshx
z)%ni`dS3EZ%<k#nt@cp|qoq!F2^aqzw+v9D>qm#b(}C`y@8HG+UD#-ATwQe*P${Vw
zZ0^v3x6Qqxta@!+Jkl0z&1wt52gz(QIXXyPDgAP+RTHxEBganfum$Uv!jdXm9qjE8
zys)iO9e$yXNw#^mcv!*K5LTs)QC8)snbWGcAl6>z`ra0dza8hImb_9Zk-e(XPZ`#o
z!H25GZ82K8CSQ%Ig@)s4oW5riu%OcRbp5m~a;suIilB+I%9?(oWLXF`zt*hix5dZe
zBBd!~4NNc;M*nM;1VMeeFZt9KDSkq1iZbfpTX7rrc8S61D#<;WZVU79tMx8ps>mr=
zbWYhR47NbyuF*}l_$+xU%m1+ocAC0JrpNFj@E^JUmY^-xciHGPoKuGPo=@JIyxeHI
zDxeTm3k2HRu^Rd-fsDVZrR&BH5%tj>c>#c<#KfDBlL`oPk_(&Oz=FC@Rug{&ftuaQ
zdZC--5v#f4lFRTs@!)XtI(|O_Z-VoEZrRG>5B+|{&aJb=1LK2<+yyoWJzr}5ZJjjE
z{JQ8S{^B?B%GYCU=PzrV*lo7<%P~pFy{&e0m7OBW?`U$&m{`M?tUk?b7sn7AA!wmJ
zNw^N~OFR@~h1Jt5^DeIvgSh6aOA{X^2**8h@}jMlVC@&JV(%A$OiJy5jL;;(_M<&?
z%W_Lx9oVp}D_<D*m;cu?Ts}#JZ88$McF+Pbi@gW6WQEYze6`BBa*AkJ`?62^g*k$H
zqPebV2|~%{Ync|;H1Y0Q`@R7Ub98YZV4Di(N3Z6-F3F2Cgzgjm80jQ4I6onhnmG6{
z@|H73!()zcTr0W!{>W0FZhSJ9-^_zuTdvQsI?oexk#_G(+)bgjIyytSi5rI3w=<K2
z7KpMJ?bG7VOz?LyMs;Y83zL3}BZ>DGi6<rE4Ij-+@al{f?+*_yD1Gg9F&AJ(xS<-2
zwZs@Tz3xFPe{dp6oNJ$i8yh48Sw&KGjWII$dLZH^Czho<-1&Z&9d_5IWFiZVaO0Sv
z$;x<6T<#LDs+Hx08g1XbFNQ`~xwDqulEw+HWqAW?*SL`6=33lP#YEi}<?g5&PTZIl
zI>2SlgAx7DX7-LulpOKt(-z>uevisMw?}xvT&-|9`~w5a4oANJ9m9p&GSkCpb^K`Q
z6EjKN&p_z1Q|Gozb7L3N_QBa=LHK|5f0@J2z&RUXVfrg>@C8{6)lfoMQRiQ?u;i-`
zI-(=a74yKo)h1o-uP{mtzn|!JqhpTiRQE^`FD#qpb2jLSg0H^lMlK5-4iB4mEw=Na
zoM+F!|3btNDZ45?zl;W_pIvPY(gJ9&tNJjvG)J3CbfmrZE_H6n!xd2pg4q12hC^z#
zB(}a&ZrW@>!`4n;zMFDF=u!4~+S(-rz2}Rq-lK*%P`lsnSFkV|)yvyEPsu>0)aLod
zbA~vyF^(nPTLiAryIbCFm&0Z5)p}Md4Pp0S=6K=~k0ojYc4#^;N3KW5fRLymJgTg>
z%$*j)h~<uV-@O!3PAv}*o-#mx!yD6gP2y;EYo~o~Qi4KK*|L^j1{iO&oaI-LM7lfY
zwyr5<SjJSDs`41ZD)sM~J!w)95Q)BZnWl=&&h163VF;CTKMtRhkb%Ly4Z^0!)L`W3
z?beWGi0QmlJs+xNQA)G1w0oxx^2<~<O^AkTT=7RtBIKd&bT;Rxl_vPFkIswv)8Hze
zvuwGW0zM7)o-8fYLQPnF_w_e43|{;CKvz`>TQ}bJxv8iF*@9~AzHLkI|JrNgel2BK
z{KvsVo!7<dJrgH7SQwC9^uF<Ksl%F%z1t=KPY>K%9n;0@8MxHldwSJ+RTSQf%y-^u
zfQ6m(Edw{0I8=Xpaxq8^Cf_gFhh`drW%HH#4>?9C{@Cjkk)n>fQ|A(NJ!yDkwCYY;
zoiWbjR<#D?X~4XH!qdH-hB^<?<wur$OzvI!Vp)wQ+#+c`8#U+%SR?x{$Jq>{yiS!V
zkF}Qg9#Y!2nU3#WzasZko1<lI?bWDqZNz^P^ZDmV$L)5zfTK)H-0TxLU!A6dJB%(P
zJvtpXz6K0EDYt@atILq9{StTkbwgIarXe~?)U}>z1GWi2p4<*ym~z<2?YE`jk4=r!
zk6Z#rwm$k?N7uucTIi4HKL*hDWiMBa0b)jTSH9Yz2gBBtkdxHMaFlwshWyfhzQHyz
zW0M{{ZJu^T^y*-A&OF)WrY#h=g&xQi*F&a9j^lrawGgz+uXJpg9WEbidY_c7i??GA
zzSq8}qa%IcTGmn*2;|H$KmO7|;<oF4r%hGSV>QXKA>9s_w&xt@6Vt&+aGjd+MI{K!
z9e0Q*umdA$?3tv1Hn!FnHBb`r$Z>Yjs?D>5TXWH@!Z%IKD+Tm&x=P_O%L?tsDRwx;
zi37i~HQ?c&?YMtN6qQ+V8#=byp>{`EcZ!2L*kszup6M=w813QKR4F?M**YjuJ*tqw
zx3V*PxDoP;+x&c^E!?fPcfCHMf>=S1K>Z?C5c7N7T=&{yY(j(0PD~l`DRxmhZ|4Xp
z&Ip-Kep~!=-JfR=q=*yeMvtCVogf6C9@#+V0#9ug_CJ0uk3WZa&pl!c5|=tHhE=SA
zgxkxSw>ZkeJJ_pYzxWp-f0t+AmV5&8cjr&jen=s6KKxLATRV}VI38v6)&|CLw~xOn
zmq5Ess!8?=lDH;dPUdpjAZbCM-nmc=e|uSTWcY6pqHzyR2F$H7{5MzSNUI2TYDt_r
zyxEuhk5k?2Nr)AUB_awH<%F?Oe(Nx05=NfXblhE1VhP)67mf@KL7WfsRWE&ifjHME
z*D^3^fj6JyBD!|-K}#YK3#s>suE*kv5mpvU`&@cKWR4sCP756K%8!ZNJ%6LOq?qGj
zaLC@WSDbJ+_~p!0Z6-D>wL;)$Gl<%s;20fa$6>Ex?k@e;glg{H)RV?$@KB1EX?JGB
z(JGysN0yyL+Q7Apxbvnsn<~3MWPk-F^>6rBW_J_+;#HN+r%X^4r~XVgc#*h79$}r7
z?<EZWxJO2Lm>{ZDHRe$80#PWe&9gtQpJ4Tp>(+T{jKLRk#_o;t#Lp&%@WR3mqEo(`
zP0`30nVuiMs)qg{{5O^tl&6jmv~Th|Ec1=<q;$ma`@T7Xvu$_Z#HBG}q-&VDOTh@=
zy^FpD70(ji`jYKF9-1JeBI@E!W-#&ktLTRH2D3ywTbfSajw#}Ug78$5G!v5S!kdPF
z%n+HEPndIgP7^g{It^Y~3|#B8ed_snhB$sn^)4ASORR~y)w-a}K*ocFonf4_glt>G
zb?%FQh&Qm$@>t@|`caL(CtkCJeB7BneELhg@^{ZTXhFx3xNDz}49yas2i4;k_KU=|
z!OK2&Ei{xIT%N!0_8hTyxLAVi2Mc~(y`k6PO~Za#caQw3Kg2Tr&>z<v*^qoVr`UPg
z5bHC_bJB0m6LFnm!+y2wsAjaR_>X3Y^tiIfu;IT1-QwVhV=kP?iOE&{6k-6s#buGR
zKK}^O(huM4*}383I6b3MtB*r|ol(JDEFeWxxLiAVaNgVGL938Hq+N^4N`AATbo-r<
zh<AM0xx%5qCP)tklX!KXg$)~@g<O2`PXHJ4L+KN3x}e*fkCWGCM}L!w_{GgaC<^c4
zi?z`OTbk9wo&y}9IL?yHabb*2zltcR)B#_wA&vf#6E8*AuS;+f1$--QT&$M-n_(6a
z8^DdTTnRb#Z^V#XdN?7mRU3J(UWbz9cp>z(@MUzk1e`eEf6ofmM&?Q7<7RVwIBP?Q
z?XZ!8Cd<ZyGIHARkMCf4$S#PsMI}QHJsDgLss8=$qZWkjSnu9vBZTa?Gr{cka;W+f
zXvbQtg_k#6egwS}Mn&we#wRD2<37!Pv*u+joUDFv#z|Wg8^w(My{8rNe*U`f$_y?1
zzRcjhz0{BA8t-XfjWRkKkJoorY9Uf5^u3j~1S;+_k0qC>;AE9VX7{uf1X}z=YdR&d
zxhDQDkC7T0{NHaM^w36U;x5aiyVCd{00030{}h;aJk|df$L+m0$zInT?!ET>9IjE4
zGNO`-D5D5PB~c1VW_!qP7)25ppSS2sLJ^@zDVfRM<LCG9dAuLzkMn*!Ug!Bd?1jmT
z0?n!*ecjDea)baZ6)Y=nvSgq}d|M{(Id#yL;>wnLtO?PsyS#r_$pWehzh-MpfLeFP
zgw}l`xSS1rH?S-Rht}3!KIJ9CaJAlG&j%75`J}GVUZ?=paWY!l21#I_L4NuXqd>!I
z@!69Tim)W`LQMxz;Ds!kOUjxS__DB%c$+GN_%@D6q3u*4sycRsvC}~B*KW2Sw^cxZ
zS*Ji+od(QKLu+(BI%Md)j9pk#1@=>q`_4_%;E8Hau}Z2oP^}M}T|cM}@5GDzt+VLx
z`9C-HQ7K*U^q05O#x>ycksQq|k~X;dy?rX!s0TKKPWnVKO>hhOJ8BuL4H}cB@oD!A
z;L2HtZx@}3@aanVN$L}Ah_jQ+iHS1;Lv`Oghfor%j{jZEiqVD^qd<+J7!x4mg&n5`
zk|F+HMkYyC8!q{>V4q{nKw%-uuu+EsInp=x)_c>TA)lq;hABW+$$(XAH3g=8@~~%K
zG*IJfv~E>5hjw4LflOvCpfX=J_$fyP#)8G9@Ul60_Iz~nUZKE*;$oY+85wSd3q`dQ
zSb*OaUsvo21>)%gGEasGkSN+ZsBFXl8EzTUcP<Jfw}u8J9Z-YM2W=`M(-{yxl$`>K
zWC*611uh^Z=r)I&-Q5g08{Qu2y+{PQa=b!jfE;|tJE)a0$^a|zu|1`?HQ}0Tm}kcu
zNocZhR6pFs0AfyrxE>DyPI9RFcH9t#$15e@6muBxoZ|Gh+D#pVZY<<o)8~SNftqHu
zE)1}I@@j|d9aS*<vpkU*xrXUjc|P7gX91sQBK%J`DTCd6p>!YRF>LVjqr%`T7Lcr~
zd!}|(5l-e;Y~`29#IQ>Wdu;eDK)h{;B~o7j#K-#c?VtX_Z=y377p|Mb!23z60_#?w
zTeWQGZJ)wBtFPQ_<~IkA<DZ_LM$&L^IC1><+XXz7;UK1;2#{x%IuuhR0Y9!OkcwAU
z@DF~XJYzxtSAs2SN$sNG{WY-iSMxgl&4ZZAPQf7g+PROjWMNo=#gF3{6C#M@Pckgb
zAS&i<i|7@8AfKbY%6rCy_||>zX&y3#c-gZ&G&yeg?Rje^@GTPxW}S2Wdf5d0-!R!Z
zE3<<h-LW7)oe9a)51mqdX$;KA0|!SEnL!H^na_1(LW%6G!OusGK;XgDT6pOyCZ1R7
z#@D-n4->>1Sv8D6zC10lb7dZ@@lR{NwY-ieeNH`^d%_U-)tMd~{yl|h5r2CoiLK-N
zdKZeN-WUK^&g{8?s!>cO`+T38;Tm3=eIj^-&j1>Qp@8^m0JFN~<TMttif77%|1I>^
zhf!Tm>C5U}SdS^aB(h}%ceeksg{xi<#CO%j4ouc#8}VgfMs_Q>efp8-x$1h5To`kb
zh3^`^ZU3o11+&XI`_wi+ELj({H7@u)T6%}K%f0_C*0hWt68b2AXH5r^{cJ3`lsoX@
z@3o7St;_hIH}QAF19gB&I>|WUbT580ZoJQmZ3R!gdf-a+pf>nf^&KnXAHaiCl_jS9
zS8(3J<ckJ}wc-0AyL{;fgZQyD{l_0TR`FO11IL!{ba>gl{n?TEVLU?U^hRIjDt_nq
zVM|XBI&|_Mv`r+A<Fg_$Xy?~8JXcW~4Ghu1OQNjbZ~H%d;`6Ebv*H^#k!=?j7EA-7
zo8PIPlqozx@G09>OD1$%dR*-|6Ak*`@HNzzPvZmkXUuPGVMfBigREYuRM^GEq!PY;
z7Qb}zoSmXD3o?{_n5U{i1=Co!zP`aZ+}27jr9_Pt<(*cu^pDnpXxYnWMAH^<hdS;~
z!Gmn5@{og@X$=Lu4zG7Bxh&x>{@jzc73`>S%J|!FCJL0>x!1Ajtl-z}J$mbmIMMCc
z@%|e-$WXVj%fFPih6g|UD@PjSLVPj58&cCrz;7(hiaBrK>05Zhu2%A(6UW=t4VQ^f
ze56>;_Y)J!KWFz?zm^Xbz9`zWa*zn@yp#?v0Tz^zu!n18NdR?z|C{04q6r>6%Wi!~
zS<&UNk=N~|Lg?g#&~80zO}N*W_6YA~L*KTF9y!7zf-3&hMi@5{;Aywhs$2*M8s}%|
zE=7u>HXWPEi~9*6qi}bJ0htSN7d(>VloCg9J(X?yq6R#s3pj)b@F4%t!Xe2{2^1t^
zTPv8mnb+Hrggj;VP_GZ`pV|s36llIh_K~LsC^TI1s&*DY6t*XKZZ^uG^!Z6&acvFw
zGu5<KbXW*^-|j4AXWNPbZ~yL`mePP%br+qbN`%oyX+XAhfIMoYpHEbi)PRd;j=7{N
zh$3O<vy&-oibzp%r=%=R16=KHs&W^JAw$Knf4}^c5ZAx7j}3krU~AR&ZN~u#^mR(g
z%V<;?6}4%Y7B_0Z*01vHb0jI$7*use{E{jXBr0tz?jit2K)Jtw5=-*89f~rjbJ{#@
zD@`2*#MT75a%h5`eEg!Ukt~wwoBH%~Rs-2!7iR>gHDSAX*^aAWa!6`U*DK+@CSuvx
z)AU)I1W~dA4DaI#=-_*I{-mcQ^uDJ+H1RSSGClHw=L;3lo6^1UcGoFLRyX~-u%Q;5
zTmR62uPdR^?t8UIbg5|X(<_(T(y4H?*UwS@fC}0%kt13nLqqB08n$O2Xwc$nee&R2
zRaE?S?849l4b3;+q2E{029C-TLf1&@NKi10F7%X+`iYzd#ZPtMzhw{312;6#VO_ff
zBBqT5^bWUA@703`V^$*?(*&d)a91NUPa9e7NKX4oHUQBBU)eTHh{%skW!qebHo9L>
zy)vv|1g1Z=>U#Z1$iJk~=?&6GW3E{f$JI?>dAWgACWwq+)yKEUQyV1*cDiM0n}I`s
zaM-#f1tl0B7al01BQE3ShZ!;e?)}pbFZ5DSyu!9!uc~RN%;vrqV>ADoKSmk|XlbF3
zP3+u3=c&kjfjhKg*c|THJY);d(?WJ#bcdVEWHc`Q<Gn?$1=Q(lw(t2zL2;G;`367K
zM3-#@9w?hIV7KuHyl)=`X?D9`cVtsXhX~C@u1^_YZTs<g>RB>km(4kL)ma(o|Ctmy
zGRA-aqDe1x4+$9=-8T&Nl1Focn5Yk{C1f*1`vvDU(N)WT+~((`P?JqU;D=cT*zLd5
zz4sUa{j>S<=(MZ|V%2LcxL3~rj&EfuYOmB$cO`ds%U3SM;wUfFb%p^_94+?wW2)#L
z?Y{TO`Wmj2yQ176$pB}8HT4Jy6=Wu8)M8&dif`@KX*%}U0{kt8Sh+w6p)~J3ANM6;
zynjbSxXBhEM%brs5Tt-)i6*X}sDH5dy01wxh2~JN_{}NHb1NcP-RQMHJA<)K(X6D1
z=1|a?%iGB-gQ^<ZwC=xN!o>WvTJAjsn62#IEAmGI3CWoGa1qzBrBH9bU`+t|lf;s=
zc~O*B;4ShxjS2h~iZ9)E#~?^$_8kF)QK#xmd+B**FnzE0<7t2yn2J?;JI3-OclNP<
zr)g$b>pz}d6K4v4?qExKOx&nM2-{jH%mR)JDP0TsCJ=LW|G5*xY>3MAIMr~58S3sn
zolx#J1~&D*kt~MH==ilC2Z;I1u$5Koc|V^q><Q)DtI)NA2VFm;F}R%>CapxS7Hv0z
zgSM|fuuje4#Y$EU=X;qTIU<q7n`j8jDs;8l=aV>3vTwG@2_{I(oumi%7(fYw5bVP-
zjPE^GIxow{1Y;OekPp#dlOykvD^B#|2`3YedfIPbYOHH;AzB}<dCs#7=6u3$AB%_)
zDqF|$etl}#{ZkLBH0FCXpXB3NL$|FrtkyBhw5s{5mU?ieN8(OuA;RpA+%pwpUB|Se
zK78&k(1n$}Ppu*|?bt`@-}zrA*Ra_%Egw-CU3k}!{p4LzFUDEVT+uGPju8b(Y5%V2
zfDixS;rN09%<p6Tm9b;%Sh&EOVH*}5IAR&Rx4rTY#`pSITKeod_9v{eWZ}Fvs6MZO
zgK?u+sME(bqlyh|ExknH=L#L1yyk=Llqax=nUh5^ZcLCnB%eQifetNo_t(g+lh^_G
z*dK2fn7}jkRX!I79l}=YHh3>iV`CA$PYET=&=Q|TAf(Vh*uK1xnKp}wzSIe?xyAzF
z3R&GY3N!%qsF$9<=dhz}9@IBiSb=Y_X}i};D(Kg_xDzrLu!M>`W2u>JQ0ct5^Rg`!
zgd%r%^PO12h7{;gEI-+y{!X>H?*}bloT;%(-MNB=IXD;aT6021P+YtSj}~y>V%n>+
zZ4JxH!EM&txgcHaO{19u1(c$-T@*YwFwSfHL(awXz^H%aG2=`!=oGztaOx8igj}jB
z4-Vu5YG`%W@nsU+k6)y%u(80E3EBwhiU712x(GPBlR!g${Ow5xR=DS#`ZD8~5G>2%
zzv7yRP^xC(S5eLeDbyZP^AlkRs64Ot*@6gPXIvk5nsPwdClg*emna1ED~!uFXhOo+
ziv6EooM1hcGQ=Av2JO16gO~Pd!oE1ibxIL89IUa<D$tYw6%A}|{~`f)^Nv53$lwKb
zGq;)3(~{t9d*`po69N#ec#Bo5`C*EssObGqX{dXySj^`~fR3fC(@|_fuut*T`MKpS
zpcSxU$_@lLc$r}Ff*}m4uO*@-K@Q62Gmh7j2yi*<<RDYJ2pE=zOGWHc07vH=b1vEh
z*mup2zFk}lT3aWRf}bgZyC;#=(v<*@WX5y0=ZnMA^<poos4`?|<Wg=wAV8eq#ilzR
zlJI@(oY(0z75E;iWj4gA30o40=dT({!|GtRgPo=tkoWA}=9;bvB@=fVxOKL`yqLo8
z&z<V9eSV5F$(so0ZoWBw)?q7f?BkDIOC^A4MLR9;2nh@reWGD0@?iVz%^bs>2&c@-
z@2{nkq5n1Ow8N4D43U4AxKqgBLeeEL$!USVJ~OA5p%VB+e?L08Mu9V<+VP$tROnMt
zAsWRf1FKph-;={sSbg2~(>js{w-(Jj{QFdZaq{R)zAg>w%9}o3FQr3qnc=fsBQ<EU
zT*%a)r@;kDg)9F=b>QBG-_dvOsKbHLZ=Ak&=}<dusdf2*E)*S?ba_6h0S1RYk?x9X
z1G!l!*k*@5eBb6WD`Bh&r#LT84{UPnlT+d`k7W!Y!RuV@&j2Fi*7Tej2+{_h5<Adm
zF@~QX(s74NB*=3s<j4hWAZ{tSnm%s=i$6*jcK&48Zd9}HWdj{JNE}taM$F)0uFc@A
zJOu{0&Ju*!>2R+;;I80NfNORKRK0Ig;MAG6+T~>`Otl4x*;$)IsQ1Il6HOE#d_7zq
zdsquXlnoN^@LND5>F!^fQVN9DmqsfdCPA2dT*zXn1qjfS+_yMUpq_b-lS_mEVFgbr
z==u!MmKotOe?o?)4zt%EZmR;dA+^Fjg#jTetT*(^Nl?R8p3Nhs1bH#(;_u#WzUOnO
zvxq0c$Buo`0rp!V@6mn9gDni`mG;BFs%wI-2m6KI9trTx^mce(%7CDi9U^`AH~G$T
z+m(=6A?QCJDa3Vw0j=Va-tVW>AQj`Djt$`i#dx3F?<owJe_c&q(@}-cwyV<@`&O}c
zi>2Ki%@**cS1(igq%wHwtL~<Rj$uUSmB3VY3pm{Sy*Z^o5f&YDO1CkWVeU$8O*Mn&
zP^MWf+VWc-LT&#IEPnlg^SzBTX84-JrN;O3V#%@))FEMcYT_SG6-{fTi~%$*kD_KT
zX;{YmZ$7y`hevDWDZD!Y!1Hul=CH2>=xl4ddiUZI{?j3_L}w6#O3AK$?b)KROEMtz
znfxlA^~a|2*qj;k@9Sc15)+22`kc4p3O9M*sQk1ezZpz)y~s>E#}AiZWnaGGvyQhq
zwv(dCrf~4QTUC<*HylkpFco!W9p7*vq)WM&K=eK_3=XqHw`}0&Thw*@$OqTH;TU7^
zmn^jm8e@iv`yX8oB(CAMPG_#C<3@0OF@53D<25YNx8FCQY88JzlhN6-VF)PnilVE^
zBDVDL8sT{R3ZA?#rijJH5DI3$FmssAU|x}0nf(LHxO~5ubkhw3DB>Z~#6SGS)=s?1
zmt0-KIX0~BzaG|y*`0s$Ii&tzUgq=P#x<7k)PN!d9}9ipvJM(^O!$tuIM%ZU1})-o
zk1}MVGxcCL`tk20r`j>@$S1qPzb)XMqbg}{*!AEPIuqOXxdxlw$TBzaU%;o%s7E#h
z=z;-Tq1!i^bi5dq#@<w3z{!P&hQfMvzy;5FuzjH(r;Fd3jo?_o`I8E|lI(S0%c$Vz
zVDoldFgyD1cJT!~qW0|JKlR$Me!0JqytfB0$K<XK?_R(s1qz?<!L*^{^U2<qKl^e1
z`LZDKHw$>#4(iV8YC4ogOlX9y58(Uh%>EZ07IC$|T9M2^hcOvg<^MH^zm}U&osnF^
ze_YM_!t);u41NgwPRbv~^Sw~FhrlvEEAwOE-7XpgAeWTkBV)L=9Y;Tp-U@!p+mA=N
zj|#n+wbQDS6ZqrR`P0$Kt9YESN~}Zx71*p#qmRcXac#Gmhz9v}{1D5B%Xe6)u<wEr
zE%Cz?uBLN|+4|20E-u~s)>c;w9>kA|oHw4q=bY>XLT8xJ<p4*;^T#P*bBlLbscIHa
z&>3^TEy9B06zy!<o{{0QB8$Y5!#uvYa<=}eBP+t=?58~@Nw9O7-yn#25x@Az^}&Nz
zY$$U1s*aN>2{M+eBzQh9;dY@Kxq)UJXv}>uttW*D`M=(`AHY}e_lG{F%>Uy=%>Vix
z8c%3K5_xO2X4e|t^h;6Yd<!=cE`Q0=>8J@e^KWau;%7oR(vA;uzVf2rfr6bfhyX(c
z^QBL>F(a}1KT3gH1W@3wt4<H~2*4QjkkNg_f>bhUzsT4Mp$C`TLquL{z-V*zElV*r
z)OdpK+L<GaoaCb$T`V+UPQw1)>@#*W72NU3chd`(mfB8)^{7KE&+WRjqnv2SI_Xg)
zE{1+YT%W3lP=}jE9d0?c+^Eop+WYmg1kxDH6wjloL!!>~r*HdtQ4)tp`0fxXq_2=R
zAvCK7an2jz^7r}C;{JnMUtO0$p_c+Y2~BDco$B?chEoWsH(Sirf00Fp#2m-3yix=C
ziy3=`4+^9G4H}5WK^{FwD0b7XP=n-MnLo1HMbP^@S(R2B3aE=X#9ZI42F_1-wBnA5
zp_t*=)e|R`Q1x2#frC=&aE3>xsY*@)eN1ufuvk?_%6%Q^{dsk8Tj;vYvn+|cPA8u|
zmZgel<_rIY@@jy8&cDQwWocyl@<?>LhdL51c(@~~NdrPX`}kdyWKnm_Lc%3|0vcgt
z-OJdVe}c)9_k)viDB@YtPr3pT={YBJh|g()EGe6j5UhagdY0_x#mPu{C%N7ykOa*g
z-PN--ipV<Xt5T1U7CJkqQ7@-Y0Un#E{^l*pD5*07SC6J5Q?2;LI|M2?cfb97C`JXn
z{qxZN^eGy$4;wQn@uC4IdxB`|vMRFo9iEkOrla$X_WKK4>40huiTw;wM|~X==lrF#
zk(*$`@Y`cLkf;3f<>;sea<JN+99yQ1Zdos!SRm^`<479&8&^&A;E_K0yOItvDsU^f
zC~E*;-j+Xj@q&mJBzKL^Ip`p_-yNenh(<u-P9?C8k<jDk9>*gLbr7ZPQb~!u3H*!w
zW<p*eqwJeIC`oPFs3KY>CNInkhH7_Ry4y)XKVAk3Gf8NpL-r%p>b9GHRNy{xI#3J6
zUb_)?o|BHmJSrp~Z8L}XUndeC;acd4EPt6+0Tu1s7c6~k)7OMcHuv#nJyB=ySeQHo
zjkOOgn@m~&7nRO8;je|fM;Bz9FKePWdgzO(s|*l+w(XGpI|_Q3T`9Enxf<H=$(4zj
zX8^VISjqTDGP*yuu-~&m3Aydzb!*kJ1gU>oN5a!cNFZ7$XZOffG}gT!e9_tx*tc_u
z`pXc}slT&wJjD{oH_%eQR?8BU#iim{f(S@C$12!QS_oNA=6D_5?0;h`^U)(Y>PQoP
zUG#`!L-{Y|70H<lpy6Yd>9wjTTY+OFk#i0wvL(Np(__F1<)x?pI+RgC>&~GHi#FV%
zy6z^a#sZdSyH0D5C?dg%;!&s20qn-nz~rMQ7GUEvBay<XfUJV<9Dg}5gSmYNA6l6?
zbS|=wmIlb8<o$@!xW0m||7&mN(=rFIV7+&$t5S&G+`-YX=_$og=Y}IUy>+>RXF(Yk
zN59|MB$@HB0!znugqb?P>MpJm0aYSsuDa}O!VxyO!ep}hu_Fc#XeYPc7#Bq2*B=_s
z5ZQr0WNG-;VKZRrsYsaV;X&5E$<A>x>`>MmJy&$b6k3XiqK7u~u2TUVwxqDb%G{?1
zJ@-sNDJHgjK#T?PI+=Q%^J0hZNyA2E{~3e5tS$`|uHv7T8;r)p*umAVXM5#}5peDZ
z7cgC#!yj_U*;JOWflwGfyS<?iv>GL5uFe0$+h6|I*I~;B9%B0IZ5Iq-o=cqPsP!N|
zUf9cGKg0?NvEQGUd@ulR;gZJL@GiXUd;Iih5-S+e?l$_!8^HOg1->tR6?l>E=hhTk
zRyfrum302BKAgKcOEkS)i(#FLe~Y%T!ujfP-<Tdf$e3R`JrM8(^AvRQkLO^8vnNOF
zD3~5(e)Uql?e!Cjf}Qrs{H(x$$~4Vqy0GWJ_;<yuL)bUd?1BV3E2K9^<(O@HE3HkV
zeTF=aX`FQn=?i6rt;PvA43l)AE|uA1cf=%CekjlU{x?>r(RZGn<<fzbvKg5h_%y~6
z<y!v6W77xO*czQ;wZWD8ODcD07CYd3KSZ5}9o!#D{4nR)<mDQx>ly3wSjduEbx$Wd
z98L<{^)iJHmkR2xE$}U2y>f<qL+?01JjBc@XDc0c7tx|(WLB^{cL_~t-#FnN373~H
zqQQDn+Uo+!8m9b!zip2cH^{ykua{%c;E3Kz(2?C67`Mns;qM3@ki5o@edwh^gt!8a
zW*rkudb%Dp7T|-js)dJU;Z(@{9FP{e$ydYIYs4RZ;D;zOO(92)3JuPd6GkemP{FZS
zdaGOzF8BrPJeH^hlII8hC7omgX33sI8)HJC|9kt)(NPLeX^AP<KC^?y4rTqb5+cyb
zMf`7e(`O&vtS`3N%?V7kf7yK8MWIWqc<1kTWLRSz2p<~Zf~uyY9k<?!LAQ5qg^mpw
z_<a0y?q~CWtlpIugEkW2^2pCivWo-~S35<sqWIvA_eu};PZG$CP?d#H63kC@;oC0@
zK%_^qL*g50criisjM5;%`?6cUb9;rLL?jN+&EEnOF?Tzj{w2c1;@9sdV}!x_W>g}j
zek<Ib41ZSLNQ6Us;ktRV2)xNzn0U*g0ELI&S9w+uVc(Lf4m(K<Slws?wg!rD_~HmD
z_X81Z54KFeV{s6AuJEYsk`f#zJd9pjB7(4y)8uYU62h-P5a$|DhI3#1*PVBeK$Er5
z!f8%wlXueAIQOW6mNmZtdp!xFUZ<4sHOYYZdp{-hubcbWHLB{94;i+7Jg3l5Eenkg
z`P=FOG~jI63BNWo3he6?%Fy^E2fID~yTU7|32a|3w(s4c1-m5!?=eRy0GnrpN6jlD
z6u?%Q{_Rvi^=lo8xr*?@?EK#uH!_(2(8S{fXfO_zaVuYx;B8l=<?tc}*k$kE9Gs)U
zaO&tnov;c7d>bA43sm@WfmbVqSsUt;R7Im5Rbj51Ba(ZL3b%j#H)u=O0nSdfqdhm&
zpv69<>QV{~%1=wACCBQ5b#~I2`)749Aki0&3ece>r%ePl^njlrkeSX&06C4LgCR%g
z5dTvDnaNE9V53%R>uYL)L1NK|j5s<t(<;R^8AcE)93IK4z4<>?LC0D{>7Z5S7qOek
z1Z?B`qJ#c_hwc{7NY>c&-k80t)wP>`!R~W+x`PDiBnOY>do<7t{H<Da4uih}I<_(H
zWbnG8J#X7eg#&lOT%RNYgfbiOI2DjV#H~T5I6({WFB!Z)cbY?Uwe$_+Dl(L-)@jhh
z$xyn__1VK&b9nqP<;j6~GOWrtFZk`y1g5|<Y7ZhT!1`U&r$Z8C$l5r4D{#9y9LaCc
z(jByb$>>)iH$6!ZNEbYVh$;|#D*aI|fdS@L&pld0h>*RK5?wE#2-{qKEN<DsfW6XI
z{mc%Uu=`W()lX8gQ1bfbx%kcc4(%3!S{4F~mdDd$Pf37&{4m*e(;w+qFIC=2RR>E>
z|Bkuc!f@z(l5qBd1*99goC)AjgHtZZ^X?UH5FAfDu&clVMxOP*{u`nK3fBuSB|c^b
z`9>XQJ_ie+eaZMI)U5>f*Ay(+gy%8iVM?Uss5vYcCw4ZQDT2qIJzJdp{$Q=XVvoDR
z&B43WdP|kNJV@DeoS?bYWB#8qL^rt1;r%bln4g<0JR1;XQ_B8?i)GY2*>(fq%Lk{H
zr3=z<^n|Gwm(u`ln!8stOCDfjBVEv~RRY`>XQsagkKq3U0096043~L0)m;$BEy=#`
z`*pe3l9agD?l)yALdY&_Ar;<2LP`?So=8!V?7I||+#%VDkfl<n5GfJbDDVAup7WfU
zbDo*+_cNW}1Nz>$5iqB4#Mj?e49xWZG;i2A%Sd}CSD+JR3S89%&qV$SLwLhv%)R4t
zjPxY#jw4wnaM-S1ceF_m(rdYvek#v1E{e<_wQV(qpz)ORS3dIsaa8u$HSKxEFAM7B
z#h*sdag5`MXgC+_sBB6<(mltp<R94?w$TWJ-KGa#x^RF_5MSzAnK?$^f!}87VTO>$
z^7ot1MK%bUm{jicoMlAJ%ABLzGk}8u!cJAvEYKYgvr*gR3!~sATD@d3fP2;R$HreR
z6BiXeJH`H*W`y0+LR&|D&^D)ik6-hP5DZGU2r2l)Fsu~Luqf7p3zsj-+$dfoj68#D
zGu$T_nK|G3!#MOH>ug4ZaKk*YIxo-~rudQJ7cX=mIgk!_S{C0H`_2-JzLMz3`ks;U
zCHb!Ha~iy`XWLHuIZZ?wXgTHcj4=G$zSyVIY4Eg2ud7vclJM4jrTxL{4MXefuO^;+
zU3fa5pvyb<fmo@xG(WI9$e360dXy`v3tGpBdQZVI;;R&K-t*f_M%vx3XzF<#D7Uvg
zw%2x;@J(Fjm%Xl+u`eh_GJ;D7`b`w8%(RDyv=_}ys(xJz`7qhJy-Ay3rHZG;wdN(U
zUpP<9VxgV!VcbA!l5-P`+HGwPf7C-bd#hTBu|H)DM=wlupVfvvlQPC5;m?V=-m0Of
zQ%#IDCxUNriEG1N%B25$!**hI()NMPNCU&+@dAHL&PFgj71(f~vW3u{IK;)WuZ|I3
zcz+k~hK;}yz%YGW-$aaz9e8mivxc#hYge)T#0H>ycyzo>Xe2nIr_+5)%NSdOol}BJ
zv|xm`T)j5*A+dLwBQ8NMpHXOh>>Rva4|jSu*&i0IBmQf%*WcBg&Dj02Ked8?J(PK`
zOQN{d68eo&c&+*(WBAlmdFob8NZ27-p+c!4T3MnVaA`&{{4*m0E0flN_@Kx+fuJfP
zbZ$ZQ&#nK61v@9ZU!59o_M^@NRoMz+tzgdMh?-QQVAV`wi<ky@T9rtuOOz2p<gGJ$
zKhg<)p{<Aa`Kv<`$I-YmMI}T^1!vA(wVQ+&_K@uFse$6_U2EGI#l)sBQSxcLc?4aZ
zqrQ(%4J7_%1-!8-CN8mYh827-Abc#+TKe{?!prkgtAl36M9H$IhTEGGf_%QST)Tq`
z*JpR^JC;>UbkN_eN$;y5d~O!i^sc7@uP!;`n@tIk<eYZgJ+hiGHLU!Yo<RXc-}ujd
zJ4*@oVD*4knRkf`hy3OJ*(qRe7C-x?w2aUZ7aKPizDG!>d9ceysKD^~Ol42!3gWP=
zb{v~|J<%yOx|~0y4D#pp9bs3iBF1>yDkk4NB!-4KHK%=*;nb&T`!Ty}B6-IGdAjg1
zu`Y0L#Iv_#$XM9zIFeICSd^AsZ*WI~<ZK_RyNe7@q}0pINwvfe>-&;c?9GI{X>~B)
zs1i8LJe%d{xkqGlI`@VQJRv&IHSaeLPy+o#*XE|Xb%em|i^70`r^L2~1g(l$68QYB
zXz6(IfOw<6l044UPFyNCRkDdCLBb=G7<KgqVz_`USL1Leq1fuUkCm4MGT(1oRX=Sc
zl1ptAq*c0z=qJzn!;KUndL+S|Z4im8?A)#@{5^#F<ak0$paP`u-FF)}*i0m<Z5F;%
z)l2Ld{8swnsyqzV{`zvsu!SftoX3^;mjs_?>*Isna-exm!I_2DN^H!#K9_!SfVeIZ
z_CAG24ziQ-S&j#`6R%`a>7>RXLVWXC`K9f$uvx9gR%D=)sB#!eTC4YlC_D8qA@i~f
ze7nB&^x@<#f_gCUeAv=kB38&`kL!pugw?pHUf<F~NM2ykEMXZVMn_-YlG-2*r-DtN
zc+T_^E56oE&#T`P$!;fqJx!E?#SoUf+UA!;x9i$c@wAUb!R75KHlva-#Ss@a*)>2+
z#T`5)P%=Rjf1vHSVJZpriJuL7L|zecLswr+tb8JbEr%w`Z%Y6@G={;F`G(+~(6UXq
z{F!*+7_=*zR|0n3sBi7u^NtAgC8cE^`bv}>{A<q|Ee`bdvESt|Mp$%;#=Li&Bie2`
zTJM+<16p93<o@ON#H>I!Yq!jIf-Cq&&|!Zun6&9wzW3=Pk*J?BA0n|xOqVOgq>qTg
zKu+^4!8=LVJ5N|NZ2v)I+j87~?IQ|Y?y?VdADALa$)VYMntl-jGIHlnOo~9<{h(j^
zA~VEYU)Q9;W6OkM($uN<heV({&)`t;npvXh!>ve<v;T<mn{7k)a)^Nc_Es=2m?P}N
z#HFtMW&!g<HERlP3d26qdAGsn@5G^%!`6%uHc$@WzV1i}Lu%sl=2Hoag!0Oey7%%L
zI6Zv4&}~Wx=5Nue_qYBaf`3UIZE)rU*DdNLW7mbie0xUW4x8UZ^2LC{?nQ1;-<Z|m
z<0b@0he(q3vMWTcZEU~s7$2xs@A*_r7J}-alAX)OtAv9%Wr-#v1gEyw=L!B2gu@U{
zE!xEjqowhCH;)R#w*O2g?sN-+@%W@@m@PZFHz<$keh`H%--U-&djw%;$nU#*4s!s@
zPF5pd1qtZr?R!|sCIoA5=K9@y#|a)P%g1(KlY+~8xVtYK3xVIQ&Zv8*c|c}x`#EWM
zS@3eqczPgP2*!Hd`kPPiL*|+>)yUln(ALa3ct}GSXq$Ix7Y7Q#xrUc<lu;7wv3rzU
zHYW@(7+qH>h9cl`<@!{79T`|V^^L8TML=$FwR$%p2CpXk<%Axq08Lrx)Uulxc#r%M
z*dHSS$8AH?UFNB<A(7kMNmc?1dpe&Aev<;v$J<&;oz!9H!~1VVT%|xnXON{jM;44K
zg1(eatb-fv-+sHP$bv<&YSqXk1xQ!Ce>*-$3q;1+#0zgKfW{F~pSkxWphn44R~t7%
z<=?8)CWn+@-i6JRKZ^`jj7pNN!6rEPr)awtuL_vwh8(?fNCm`ga;@&%*8xEr>c3PC
zRZu;9yvink3PSc_puLU;C#BOQgGV($NV&b=DMStIbLhN#lj-pIvRA-=v<)zE_r{6M
z2^#R&RZ{R%ogS<PoML5@-URWY4Rc<Zny@;o%k?o|A58N%6$ee}f=y#y$}wi$`HS0P
zcj+5IyN-iAAB#Suc{=>%H{S@PXCW>2E(RdC?aAAAJ0l2jm7M-5rw#qfUiF`+^}*%c
z`YhjvrXY2C+&lAyHk3S^irO=-2c+hxW?rGqp#5cAYQ6m?sI59;IKG(<W`7rcTq)fG
z=F?{tVly_u#Y@JrR(!fJ>CJv4L&hAwMy#P+y|xLKCQe@N_tb_N@1lZHD+^%r@MGWY
zvI%qrvI50RG@(akDw4d;5==uVE&p|CgO<7Ifp1%>Fp|~xSF+9$u7*ooxy-H&k6#8F
zHVr9)=)S%7HnWysJr};moOL54u?*%HbcsTGKkv4{SC+sVytLjlZ#^hCmP^AhD+nw^
z#u+47Lf7Pg7?o`u_*Npvw&F&{<~=;-7RweeeZ%{ei@q8hST48!lFou0uj4uGc3Qxm
z@~a+FUKG$AoOLZ0=Et?E(Wz%L&7rpZ(b42YGVD%uzY*#riZXkjC1(wq!TO8Q-`nF9
zLBBL=ZS*?{G@gwZP?Io&*Lng8qZ?&_<I*F6PwvvFlrvH&=CuV*Y;uZo(GiEDwSqn7
zt1_4vY4>odVlzBHq^4PRK?umBlv8>CWU(m9+<7<uX5hQaQN^CY1(v)j@2@1t;nQdt
zkAFu1Je6m&&OT>>>Pt-*(<|g~HMHnm^9KU<k}UR1$1M=1SG7A_Z^>atv?fH%n8MNK
zhcn*N!vtq>efNp|a`?Juz3~rjQ#h|pla)Es$EfQ6=#Z%*hv`|l+xU%5U_wXo#8}N&
zMtZ@92h&5cxaOW$>!sty@LWWGQ|_Oij7E87**zCz@w5i5|6HFD7?7iSr-WH>pe^H-
zjiW4f1Ybzpu44omTBHwb57-eO*?YdC$YNfzxS)HEA!M&kETyq<Vzm4VmplBjIP$uI
zJz2^SNE2cl-AmjEVLeBs_+;@v1v%p5bpzP;7T8wr@Zmp8#ZT2_S&T}n-CsjB01buY
zmgCZbD7#2fGhybvG}5gZ{74`4PrAtsRS2O#Z1HZkELq&C^DQIaO&{`n;%cHE3**9R
zH`?TiEH2&(wo?D62Yk;ZZH5~}u)K%=`iUqx<T!=f`b+iT(7EW5wklDqd>@**iANqY
z*BD;Q@zVp&P~p7vY%y$hM>f@3d33)wcj~619*Ar{V@^9Mj`g%cU;hXN%)9m}a(;pi
z>+X5=(Sjr}=TXNX!%7jw6_wX@)zV>c;}+FUYe`)BFt+Q6GzkrzoGil6(&5^Fq@=D5
zQW(7yy}|e@34Mab$2Nx0f%^H4S(~IZ-hUG|<S4I%$JutR+vQ3J_0`NhU)g2QZ%F*;
z(-I{N{rSGtVLKhF{l}H4OEM@KMK+HyCF7HKZ-x$9(czPhi5J%wSv)p>$8N(A8PltJ
zugN*mp>5+u;o&Jc{OG1z5gD$GcTX7astBONw|ff{X*2Tpd&TKlnXn4(QxofoNu-0q
zv4`RV3ksM!uAKj`QUyaMeUG<Q(BXA{Lrf$K2@8K8jPbIe;N-2c!l&bO;H~~rKc2#T
zk3Tu;<TwRagi@r=Q1!r|_U7M25hYyM7bdV2NyWnJNjG^S^q?f_uuf#Q5|;0@saX4u
zid{*LOT1lrkgMBJRX`ylzrI<>WV9+)?dPdb*4BrJ<Avu&%E-7)Ka5r~sfr03G~-Ke
z=|k8h_0al_%ILTuz0QBL8pc{byZK1c0K6{U6DqA#M)%ZGd7Wf6G^dc-D4ERtZnAMg
zKurbf6%MTlxu=G&j}3GkQZ$6*M&Ds-rV9S}!1=hcLk(;Eox?ts8iKZqM!>p%D%g@Z
zWX|2JhH3PR0+B{WP?xB1-PMhPAp*Vw5;xS4@p0kR=VwNs{9Bv<*BuJRn>)slJ=E~`
zhKh(`4`a9~TKz2M0|nPs-~MCxTNP)e#TJ_<jG^Sz#k%8yRAgtrOfrjAMT4^&?4|aZ
zz`oKeR#O^Ov<_fP{PCWO+#k;B227X$ACGm_gbo$29ZFn$zk!N0kMIO<XH$4s;$*gl
zdA^mi(s##R3Vw(gs9mlzh12?TemeYAoIP2*mU=-2pZ<2(dWM&PK)Gsxj&~Fkfd#>)
zB4x}DqaJCtBY;m%=SzGxh1vf;48{X88Wy%`w8ax}i2ODCur&pjUa_wBwJPCO?H^lp
zatW|!U-~3Ft%7N<thb)+C*iUE*}1}11aLP_yRC~+!9}|ip55Jw*x?n*Hc(E$zq&2<
znXAfJ^2VrJn?nKL@tsVw&LY4e(l<LURvER~%-+j6$>AF346)PE1V~l0KH!}r<64jN
zIw>fFda2{bN2~})+E>>Q<wM5(q2sQZcGB4MMkD(%KLLu)**!DQl#ua*5oW+Dg#kqw
zO=Yd7(D`;^AX-le-9OLt>%Ngdf4@PbA2tP#yIQw|?vT)Q%b8e*H{xg*EOcx{-V~bU
z=RSptlF*@5eI<rf99KMBqs18}kYu^Y8Y-ZO@8mvTnz0kZf%JKOnx_ebeXwDPU{yeS
zqdPyHn?&)uck#B^1!EXB39)u$lgEEK%Fp>+MX|0^D4O%MF>D^YtFa;?hvn(n;}ii=
zwERBtc393BROYt{bI@e*tygwV=C}x6%v+QhsWgJ3dt3R7f@QFuC2!2-l?WawjVXG)
z#Rx84cwF97EsZYPYs!2-iJ(P+WLm<YAz1MqEm0AWMz^@aw|#=5C}7)q`N)1l=+;f^
z=07fl<O3{D^E*V5M^aA9n#~a29c-+BvPKHKJ^LNj7l<M(@;-~oGJyR{3X0CRBysC8
zvD0e8Vz|BJMcQFK1K2RS)}zW!63OjFN%t;@VVsi!`R<@TD5jS3m5NB>db;rJ07)D<
zxXye|i`It@U)esc83|my*tUHCi8#LAAsrM;(ud{X4`cB|5~#3qys#`v0?W+Tv3EYx
zgKX}SoMvX6b2`3aov|e1lHK#sSUqsGHq?n`-Xrj4pt4y=3T+<5&B$x(fqy604_jv5
z4-p?yM3$tmLo#Uk(+nNP`h(d&Z<oXX=anB%r=;-_HK*}T86ARIe?9zhm04%J)wz@z
z8Qk?lw}KH)2Z16xH~AluXgI36yu$R615y@~MNB>l?bvveBTxzhWp!@W$jM{s8pY88
z2|8R%70cTBNecTC{XAr>74Sh=cSzF$4F&@B&)kWY#`-%7buo#G*qh=PJM)SLPAyJv
zQ{`k(yKQa$!2l9Y>xbCAYNf%yIc2xgFJ!RqFiVS|fD-z-wA%|d(m*TVT^#>qS+w$P
zOLuytgwdOK>q|3e&?GV?8N6E#jd(H$+XG~*%V9kd*GYqkD=Xw@TjY_-UwOPoQ5jz%
z|J%kf8f>Z2QPtm|fS)4xj~?k)#`vYP2Ci&$5LS%Xl%T4Je=<g6ZltJSfTq7p%?3Is
zZZY>HiIZ>}e<i=8Aq9(uZ+cRL>G0iT&|&;K3B8MtIr)8}pc!jp(=5{$4BEbAil`_d
z_qJ*Y`*TzbQ#8z0V%3AaSGX5aDwWV!(ek*Tx+;$UI#yBWqX!p09yM7uB4cXMHS3&u
zRg~R!xNcJ?(--pEYrnUV@g&Cvg|B*Q$gAoitqb~aHRJ2oZU<%5F&(%daz_pKtZB6E
zM}0_S%b#i=QpROk3(x3pHT>Bh{d>mR0F=8Qr2TSLL8H)mb91^n=6u|HarLbM*a$dq
zc=f2@t!vTFu`cS!W0sO=8fgfb_6{dMnNo1%T+y?2Zt6H=s`WWZ*a((Gw9HTEQqZqx
z&MVD89hGuhwuUn2(V-yXqS+4$ehk#rEoJ6yys7tfhmA2fPhKoAFruP2-;l@FOf`I)
ze5~4+sq<^kdmeofO2zIiJH|C7)bNnhHLtcP6A-a)HI2VO#Scf?@?;}bv7x>=w4TKj
zKJo6d4$7ut@9>;mM;#SAGgNHT;!MGGorC@06)Gl~dQ-dJQ*hV(aNR#92mU+|7oBy4
zikf~L!$*Ir;BSNfIM}QS$QfOi^=B&;h3);hAOBUxs|9z2r85XHe;>9`#!khbXJmOh
zev>gsXT9d;7X<wAlyn;|qhR14-`*c{O2~sIGXE9{$aucSMAU+UT9#7JW2Z<+?i@=k
zWe4!f+OtQmo5>BHuf@VT6>-O-BJ)6IeDp=NcZjtLE(=bS3l7O+W5I)^t;~ChcoH^p
zHz=cj_wE!2CJ&di-+0H_OMp*rc-#?+GL9(EJDXX`;Ie<gqtiDDn7rW;r*)dl<hr!j
zxVus)oBV7h+?#;uyvoi?(@HpI_9SARl_cIy`KEY6ga8uHm)<Yil+gd#Lta&G3H<ih
zASJZH6!KrSc={ES@K5AvJJO;U`fRcE{_15461rdgM)^o6k!r5m#Vv;S*Cq&O{xSh8
zITK^k&k88@;x?<Cl_>gL*8KVToC$2{%TzXQlSi*hTN(qZL{Kc=RuL3UKrLa^(&Vlj
z26OXhW}ArMjnhv$y2_2=JZER!&MH~F7M!aaJ}ZnXzo$MG7#c&Xg7YN`)6Yz0uj5G+
z#>Ae>GLKu0pqg_;^2bMM{JdY7V{f%Ej@{W^`q9w{w%Q)qRV62lHx4)L?`;&ua8V(N
zm!pQDP*zv;eV-I6EBas0oD|0VkZ)a@p@wi`jwCJfLK1Z#-L{=7f`*bSY{&l@z-3$a
zueQwpvMmhn&WjVl#x=W5wp}uSa-MRX)YlT&JfYEEJS~EUPYc)mVRCrfLGz2n$0cxh
z`G?MxU{SQKqz0`r^udR>_D6`31peV_{NudB^pQ_|4fVV9LGNjRX$qeNUXc3OBathH
zJYnr?PyN*cf#H$lo8QIJfg|ePdRK8oSF0O%TMxz~FCTLFDvtl@mhF~NkU*um;fHND
zdhqMAjXJD|qpjhIuW?HfIBSqc`L)dC-l=zXyowT7VShDO<eemn9c#K-Q$>g5QH4Pl
zX9=_j+Gms3FNIcy4WwQB>5%eHxu^4{1m5y#A7p(ijgCHxU%WNx;4vX)D7q|xLwnQo
z|9+Q2`SjNT>lSHHa^_F(NU$U(*ELnTNXy}*$NNhCCp38IzwhVU&yq-Yj#s;HCy%e!
z+6r=9rvdafTz?oRh1&HKEjKPJ;N}NWi{jBVc)h*PNP#Skzpq3`?;2Oc?Q34<{q&^)
z;V}N|_K-Ac$sZj%o=ZZDA|8KZM;iR{Sgz>1A%pZ7GI865$;GP1T(Pz^__@TYtr#JT
zKi|9MJP{&eo3qB4%}yE=$JOV&ahJp0fg|KM-DG@Vcp%?;4-L3E@Bh<c*0&=k{6p3S
z=Da&!OXfO3gM-`p#l-Cu(BrjgVU&Xk=B$n26)vFx-%`-LwYMT}`1bwIc@YYhW_VSO
zjM6}%evFiFM8fupe?KdGC@4jbH0vkR;Z)`Q*jvv@7@%!g>2jKiWIL_jI!xcZ;$h>z
z>Z^ni93ify2C6vZU}7!aONWE82L(_3RKi?aNxsw(Rb<<!x#DiD2Tf5=pI4qIqx7!t
z;^!mOu&&m&_I9lvun0D7o={Q7k0-hRD*sZ$7f+U2%nbD5H($jE>w0CZh+D3_9iWaM
zT(*lDb?8G&d-(D@OBEd1;xxVgfjYV@@86)d+W@*PgPRXCbxCXUf`jOsI;LdIFt&0S
zg0WIjV;^&G(cvuRJhN5<t<6MkhnE||gjM;q+YAb}s#zQD{G*Nu2U8!Zxf{XQvx)Ut
zDpXYX{I8(6Lmf}0$nQ?$Foq+|^LD4Bskq*bb*MI69Sy4Y7v8Qk2FkGq2Z9=?c;~uS
zUjeiJgr{*LWG55Q(Azs4K10Ql#o5k2cQrIPaiHPVHxszeH*aCdp^84G-%V?-sbW|B
zNNwqHQ*bxqF8{!#iZ;TwJBA)n(f#FBN)ro{Z@C}rYG0zFg9x%bZ=qn{3oo7A{|KND
zOC4Q)M#ZguS%zZ|RB+-zY>`730Rb25w{V@M;>(ARgFfddqm_o%LM;z~N{!OKRXP>(
z59{i(#FMf6Wa)hY6@a?a$@~YpDR@^;{K0xJrvA6T(Y(0{KzUIb&73Hh(ADaxZA!xM
z)d-DrIshdyO`)$-1y?k6PMl=+m%DdNL*Pc{Sd3*K%GFiDsT0p_pAd3**WzILBN9N~
z)^r8`E6PZGNw-OMkU_q6ECB&r0QUm<qWZp&aV1HxEB1^OazSKgP7eVWB-Te30U1T;
zwq=>~5@>s@Xn8h)06Fc4uE#Db;l|@3XH1gBF}b~1s9K!>cT0iE=5Z1ptRNlmu@*y!
zJnA>d<p1|lCkx9BNGMg8D%)fticVXevFYwIWpcs|sZgpSdOel)-{>QPJuKl4u`?!+
z#S?#0ZBiav6uAF1mkDF1cVdF>VG|H#&x<*5PY(H-{#_DO5yo$|*Dp5wH3oBCpV5pA
zSyVY`8tB_Bgzv46wp*Mu2GPKEg2`uO(5|LVb|g^<gD!*^yx}wko*{X^;&i4S)t>*a
zX0H&Y@o@V2oHc??*Iu4uzb}QSGOAa}`-PC8|4h2h<dFNm<<eWeN}}KE%`JCM3!yIM
z@h)1XAq;b9v9}sYV%;s@t<z0HNT;=@HIocMZ>_XaO|Aqc|453N6c)xKa^LCAr3O&h
zl-vB1sk7{l)lJ?+31bKGyg1*$0G`)9vGBhuj?+7?MOl9r#zUJ=!OKo2cd5>V=X#4H
z@2!Xows;Y&v@8iN_R$B69}Z_6nS9SbKob-siQ-PbLzhqdVsiTxy)T@<#BkxcRCrx4
zbKgli5LlD02kK}49@sG<h6lFkM?_r_!!xEbl*@X0U^X`6Q};;>`TwPme+G%8)1}Ga
zBO`QZDJ^yH`zMCVdnV7Y*+}5?-zl#dsdV@vAl_l1A&y;I!!P4O5{pA~ueBM|!Sk>0
ze;0zqQMyt7={^f7jF^hdUS#U|U;VnSxCU`ddct^t9@1E_&#k%UE)7IgzQom$C2+5C
zlV^Oq3>vM5c1JRG`&)5h&Qg{HCOB!>XWo}Z_c9-~hn6%LnpqD^s*-r=f?Mg^6*+wJ
zsKJLrjs`wb+Klj4N&I86hv&DW0;<m}`A+`Ug*fkcbB!pb4~e<0@vm1zyT<~SOJln5
zR^Cpf-9Q?N!oGZR29vLcP89a_>O$3k9r1;qssDN#b~G^cU!3FVc50U{*yJa<$S=s?
z$79?>I`U-v5kwcb@lqFJT=QL<rev|qc5_Mm6dC`t#P&{1=)(41?<&z*IrP+}Iy%-V
zqpbfCyYe+O$olo7Rfdh}Pm3uooJ`IaF)+Q9xse8HZMB`*%8Hodw@oPDjXB@4p?^&F
z(V&*}OfprCgoEryb$Y2(G^=$fl&hhEnO=^PV+#p|wh!}kf1_e4|BBvaE;{@V00960
z6q$ECmH!*Y?LCgYIp#U`ILA4*n+lmxR*?~j1`;LGS5c^_BqSn58Br7w=Ps4eP)cYR
z$;fPoNco-LzxV5YJ<t6a&vm`8*Q2(aY{ea-jK3ZUo;h4g!u9!zeBFC#P_Fm5d<&Nf
zs??6=dWVuRtbahKbA$$RD=tk{H&t*w`OD30K27ZS*qW{vLI($nuyA{4RXkc&v{mu4
zCO-Qe&EdU3hg#`ha;h_`m{sk2^09;#zSMe9KtE>!ZH%dGo|9^5Q<ikaGe!&3_qBfV
zHZ_IXdxp{HWz}(Kac|}8S}mMBbCmvU$`nosinf?sQ%43PIKQY%3o~v>wCb0d!PC*M
z>Of@;bY@vkc+{eWXKX(HtP3!QmavTpQCS*z|552Xxil?g`To5|O~C^AbJ^~UPivql
z<z{&SSqoLm=PKCyE#McWVmXFN!rq;$xaW!{&eqqtm7TVPKi&d85@96VE<-seGDk*p
z4ZEOibSp@bYuIgYjD!(!@<I_(WDG6mTfFer3O>CPI(t2Zg#A9PpG%cU*euf;CKhB3
z`<vS?jPE63!7i~Q1OW|{saWt4d~Xf31*wuXOA^{{`NJ~tSq*<Z^*VAx5umMCOT6Hh
z2HyU|V)&~<6+I?yR#&eFAoQF%znY_g;vaqO?RTqS-}#)kx3>eFr;Z9N5H+wZ)_dlq
zmNFJ4{~oE@13*zAzUj<U$IDwD-BuY^!r1Y;#F>2n2mc!gR%cPito>)IpC&6H-x<Yp
zo}B=`8AEH|eAUqDedPMc^>X-MP_yq_4}i(Z|7<O8s-h9u)`8tX2IUW#n!3^ec7au?
z(svc4H`z)1I7*>8H~nj-2*970LU*rHRZvGL;EqkM1hPb@ygTsB8luJ>H<raIV_k5Q
zUaPb?`hM%+9}lyJb-$eGZ|)QE_R}8{)NWDST(?iEXvGQw#tXPJS%`Rf#EsN^Uj$QJ
za|orWR*+>^*f5x{h$FEA)Lrigc%!<>;~Ae7P@*?lC)+5X=vayUMHK=j(9?zPpRxo|
z#Ye5bSLBcq^-slvCX5WK+|2=AONg9m6E5wL#Wp`Rm(%e=sH^5M8+O71wl3vfbFY%Y
zYt1wz9v&gwI2NfI#byDE{z)F*<<iJ^b#{Z|2SKziskiG*G6$g=+jqH5Qn>lum8SF=
zL5yE|(CD>l24lA`3FVDT;>k<Jx6aUnaM|L@T26u)Scu<H%+!{|Mb|QC!FnMSnfzoe
z|JM|Ff(8ep(j~Axre-NOP#AB7@~#g^HU;0-D+XLF5-3SOU_+B9pqSU{pC>$~@Vcsa
zem+wiuiaDcG`mc|2WCo<RoN!M>!Q1@!B`wkPSqt6^+ix~T{$^S#RNPpWxu}rDTZMS
zn>&`@h+uqinzr3tIz&3#ratNr!<F{fO$r&J_-Qly(OhRb><b=snyV8--?W7H3hrWP
zYO^Wy<|GZ`I2PW#sTad`Q|0Q1WN{4o((C*@od!`OIm(M&V(3_~DQlS^fsca(GPW4d
zU@~~t=gTiKtQ=yG>Eo3|g$|psf{(`VlQrMooH-{eS>#EIm=rn>uyC+vG3yEeeb>{(
zQFGg;jV5~1Sdu7y=ZC#9ocu9=@Z-EVPKnn9X>XN5Vg(1^CvIa%ePota8X<u$hfk$u
z=E~x<NyH(mZYmrarakKTErI@`KJAI)a>%<W>1<IE70d=slqp@3#6I(H3UhV}_(!Yt
z>e)Cdv~P<ZPIQ$*8KI93HyRc3*$I1=dT%O}F<xA(m5|1h*#U%H1tQ*!t$A5zO9evP
z#>+?NrSa(Y;=*_1MBF2M$-&Nq3d#a`(FGr5kY%?1$AJcAtk{0STHBOa|Cu42KOl>a
zlX0&uWUAn9LT;s|9TgU3e#DJW%HhN?X@k&iRUFhfAS@6_1=CYUMHoB^C>JuXv%^UZ
zci&%*E;vbrT$#=6N+yap7T?8Fud9wvmjr9_TBuNW%I)UeSS6&=+UD*GYv7Y6?uj}!
zW9SP1+cO<N#8>(AxfOF7$RV<GG}+r2IInb{FyT{1BKcwOwssQkH4fhq`M?-%g%4UJ
zHY%gh+Wp^h7s=>ge|X;=LmF^x-@{=Pu7V_`vd_=GG%?OQhTE)x1}WA#PtVG#qKjSm
znRyN^d~}U4eVKWGHfHPJPVZ91FSq(DTMD%BSf^|-&v!a(i@5QqGfoZj8~HD|N@}Aw
zBQ(dL)CBYyLK_(J%=M6h#@ZvbQQhu?!TKOmaQ`4bUwU61)y_LA<d<q={>{R$F|rwi
z$z0Mt?Wln_4P4(as<m;x@yHRaB{MLbeN>(BTm$X5ES@2p(#9Vj;<3EL9IW!U{!OwV
z;kQJS-ASg}_(dRPeM-Is*qyr~)R{{{Bi}~}TN|~II>6D8A8HBPHG6#Dd?2CP{z1v(
zJX+Xyw9>VRYz1?YQk#>w$XK65m`>2q#I@lsfnI}FVEJc5lfEPwV+O;vgp<iAN!jzT
z^O!ZfB?L&!@RIQ;6d#&lC1K_M87>Q6fE^?I-tQV=`b2?m)CfZzd)*&<uG;``J2Pvm
zL?H?NFNHU7M5tkZi{L=?0f6kUIleMhBs2^$k5A)K#l)=(3c42oVz`X#Ha^ur5mwva
zYo*FKJt9qWssMQDaY{_YL<4=g_}I1A5wUM~MZ3UlfNS)T%ib5&QJ6IF$M2&8zI%P$
zgHQ=@Sei@D|BD*7|Kbxp=qZOi17m5B58%DG^<b{L8YVgLKlb}0jgCJ(zcUg6iuy7r
zS^laR)}?!IU9TkSAIaf+>&2YksalVbrGk^*^2yT^;;1P3_vLFcfIh{N5YJFX%QU&B
zZeuY#Q@8P(%%nAB2&--Do+skDvsXuB7$SJ<=fj+w7;A8jHY-R~CF1H<i@BEL1pK;p
z-R9^;D=3})Pgt-?5p7J;^D9_{vC)41(DVIP;KNy_z_4JhN7Lx!-yMQ@tjs$sb;=T+
z@1ZRu_sF5k+6c>#rU1s&+~6_|u!ODZ?(ytNvRG?Vm_v5t#{;|{-*4!#fFUc+87CVV
zEG7)EUVOlZ#lHTBUaz-+FSmc4d8r_c$`;A5Rpa?^s`;EtcY`@Nu-w^^C@zK9!mp~>
zAL2vz`*Yv8b<DwexAK!dbxGVj@35>|$A@muEw>Y|n!(;*<qU2Q35?0y8&Imsk1G#G
z9~R4+!2z?qSyOr9SjnLmll+(;+3v*@tmK$N->Va~8Y^PxBv0;eJI9>At(%xBZVHut
zEM{i0OdX!coQgalh^yTZBeyP^z`{(<wlrQb3}iXEm8V1qg(eR-l*^ld+#ltIkb9z-
zPaPfjHOTZq-T*#8!M_3d)-pQicJFmkOc2Ft_sgdKR|xo@SLrI%m=43ySGYO7Me!V8
zPvPAF5scbBE$h}n1GAs@N&7d7;-BRY4_pmI@pSn&P4_?=lsJ2)yl@xAP_wd5O%XAy
z5r{51{?{04H!TjGi4?^jdE-A1u!-aH9-eS&u`xV3-jHZ@RTN);E`E~CA%Vk74Z)2L
z#!w%Za3txgC?-11dNoT);_t=k!97b<;3u=#vThK=$rx|l%NA02yUzA+V-*$bZ@t@h
zhUrJg&NXG0#z-Tvq<u{&oC<DfVQVXNaSV6=%;DG~g9|ssQf76iV34C8Y|t%^J-3gw
zFUZKDgF!;c@NWtfOFqa|JS>4iZXGQX>GBx6IMH|P1qF^ZXxl$9kwivXPlvIfB3d_m
zXgX3!0a1hDJ8OJWSoSAesHRj2_h)LEWn@#pUobGP@0%3!yJ}3?S;q7WLHVGl6BL*|
zAoW9eN*Xs`->vlWxH85q{I``Wl>!;ElTM|JOs>)xd+E;9SL39#BYI~k5YjRBZCOGN
zPsqoOfALhsV7(*qZ*NebJ>b;YbN2G+Q)`$g@1TZ-b6!uzyD7kGnO%4xLjm1x@`xx~
zspADNdeLSsDlGIwBz^p(h|+!wjACOAG|#7}tvXYo<X}kPHzgu+l~)P2X_N3(m|RQM
zH7ZPp+s%6P5wSMm>MJD$GG4p1T+b(D3_sT9Ro-PQ<D7gTUo)pBnrK~dKACO|5rv}}
z-!`itYtGZp+#{NZcRufOl%m0F5>Io7getm8FYEofsfCRfHEt^~{UYH_%09zBRh(RZ
za*lJGHr6JQV!U?IL0k6x>Wv&V)V*cab8t=@1qe1SsA&TB-tz1GUDZ*(zDgv1yAEEn
zEP0l(Yyy_CQ^Lmo)Un3r+o8SJbx@CO;EF}BDV+P-Fg#SEfq9olE1^{f$1hL=YVMms
z)7y-w8DkP2n3%MFcufZlhifiNmYRdQe9F(UdnAmT4e9vnse@i|{FlYgSb%ZHIPst|
z86%D+H(z?CjeFmZ)_&S=2`kiFZs+!saomEvRZ>D5zp}{Q2zRprM*Cy2oN_X{cM;cq
zsB7WVw3Jh|3fAzq?;J6{m5f5U9A*vNnwTCbyEfZz4Jn^5exANdMiwc7hUZ8^u3fef
zOc{fZSsbBz&X6(VnSHl`uLf?}`tY6Lae(3|{#Ne|WSndKC&&3-4LcovE^yulm=$aG
z`Z`F$s}F1wd0bR6S}yv1(GXM5jVe2I{YWV8xyzsX0h2@er#F-@0=!d_PX5Z!!17(2
zQalWZc-8s3UGzVIZRVegVg)tOa(8fDc8CH-htPT+E&&KTW(Qw%P{$m$u&=!5W$|%g
z?7;m|0Q>*GPq@aap>t>9VT%PR)KTM{Yi?ueymDyk-CR{9-p(W2WJ}<e<LpP>nLgs$
z_dM)HoeIv4{6LKZVz{3-geJ<&9iJ%@KZ9Q=<DPY9F&6nE7`~y%DoYz+v|4fX=L8WS
z<Q%$qh>d`g8=an<cxMf>g-eGoa}klvynK0Zn;_n3sgEYOSc8iTkfePSG4tqf^d$p+
zbc>akQEIV*YM&x?j=S<W*qu6g_AoC7TjsexW%_u}-pf;kBsu(`uJBmcfCv92O-(#H
zX9<<A7E$$gWN>F=?x$HhZp^iAXii(UfEz*s;a)z{*y%PEFLIX)xrqGjc0m>}tIIJk
zAtQxjIS2Q@jpD+CE}SmkJI&#g|DAkOCVyVj-(%?*&4m{d<szM^=HSJXx})T$I1b!?
zoVDi`7jCq@?EbCT46;uqDT)Y)WA*r!^Au%n%-(oAd>g?GGARD2V<U#u@e+YWZQMAZ
zXYzRdm?=~}^fKIjUKDTnTQAj|<-zm+8qEIvHUZbyufC7}6T!3Ii!vc8yf}3B^tG=2
zCcvtDK5RZ!1n>E+eJv{B!_};A;@NL>u=Q~p$kq_S2KwPpnYaAdZtZqCWj`Id1pSQX
zhX`o*XVAx4M-aC-L^gi-O@lf1#uuu$nYl~FWN2%t5KgrS(>jmS;Lqd{v*3IJX6W*r
zPh#ejUg<yV$Hi!1KXE!|E|-A9zczlkyGX!pl~Mk6H;h5YF#^=82)JJC0%zH<2pV}<
zzjd%RhI^kr1s>`p;3N4+*O%`_kxl3^&xa8zxRxfGC5VY&k}zfe>oGChboAMx1Cxh!
zk98jJ4;8^<#GmSW*d)+zVwh{jhzg^J=`XyVi{Rn36Q_3@N@8+nritbl1r%5hbHB3_
z#s4x(WlLkEFxYcP$^Ie=u#v)aU3x|Fu;1vVkxpjLJ9%N+A%FrOzD5YNA7uJYf#|m{
zR9XBqlkm)fOo1NhZ3^4<#L<rJvySs!Ib@Ig?e}fj2+9)*z39v0sJ>-1`=pZsPE2g_
zknS~tE7k%13H=gSQkW$6bV(75?vZ;Fn~cCa@{+Urb4jFmkIu~d5z$k?a(=nO2;zkE
zx?jDOLWdu>`-&WtabRR<-O+L**z!4_vie;buk|d%Znsjwy*}693f*S*b9^{(TU8d9
zZG5;LELG8uhcB_I!wA&9B`q$8%OQ8Mt)9?&H4LVZ?_ZfW0^!3|0qSk?SnGMUdTNt8
z+7*oZj%ZN8s+$rWsIQ25qzi9O1!-V$URGLBBn95(Jvp~jrGzt-*Z0_BNcejG&!h1!
z3gjMm&c<Iz#CV&;sk&q`-fKDJQNheRQEfG3%?M?D-b5U5PS?aC-OKFd52&!3aU;#y
zLIqcoWlmy>7H*OTHTNyXkZW5hbw)%LjbVJzb)Pn_I=(Wy&q9Nd5f7Kb2~|{=%B;F%
zt%ExHIsZjIq(NHt=&7g8YB=w7v!eUE4o;F_Y-bJ~9vh})Ol7E}WM@{|;1ONa(=w;M
zKWqXQ64=(Aa@WADbf4DeA9ZnZu)c>DX$oH}`55o{NoW;0GbqiYhasMx-w2UrAmgOk
z^yV%Jw`az$(_7KS4GA(O>T%`}bN<%0ZB9(iKQ6U2bW0cc`Td;s9kqbow5m<JJIL5u
zVJ|bJs*Ar_)u!!JEkWnl%r;w1O=QoRcTx1!LB|kJ`mJOuSXOW_&Wq5*o{17UF?Vge
zmsUM+a-TKqa11{Bin(7NPEo=g1TE|i-un5U3X``}qJNW8HF2N<0vfK6aoVCkIU*Ur
z-}<#+-!@IG9=Rs8mz#tWDIX&PUjaDWf5A`}(!`t(6pr5>>KHif*5EE=1N$ZXto9X>
zv3ifbiD{-PYHk?u-)d$9Le_Ry1O>>r?DZ>1{fROT6}Ri#ZLxv;a&yh~{v>2y%M%c0
zCt{tR-S7!N8<4vABAq8k1C0xPxn!=%BkwNdI||Hxks~G9Jq_wOC@R(<6f1+?MP0#(
z7B-NYCvqdWOAS3^gcX0MN}{}}TW64z4II=V)MdO@#SP8RGF}gfA)nUF!F%HXJQX+F
zS6{1OM$EbOohL=G4qlJ!sRCFp*h*D-rHpPHAG>+33E}p8X1-w&00x`*b62~G_^2wU
z{?loGB$bY>gfRE*lG*WnDiumt>nOdU`8E&wG#L}7E3JWTl2i7<V+Gv&?8l&Q2p49=
zK6*PYU=3fp8!5LI<nWA7oTqv|2Uh+w@aBxL0;00V{98*|>^&X0aBLkr-VNDKAU&}J
zyNiRZqNUQvUt@gzk{27Mg-VvaRI-G<(Gh~-8d5lHwDMy92`iT6_G;-SSbz?1(@XJA
z37iS(l6jfRie7V*TKfIw(7LlPyXurUM)@e8J$s53lX=7a)9L1L^-yA<)jlzlZ)?!#
zdclhCr;_1uz8QGdgs<(65=9?=ju&3**--HJs*T;6DNL#yWKTUOf@PY&jJHj);gPRG
zUVghw;YdR6-@;b}4Ea2G!=#=avxIVaZF)_>kKgz1H5~$;&2E#9FXh1ceJ5!ub|&EI
zUfKTHK^U|865H?H;lz)8*UqRn(_!h|h(^U;AuLjQJCr=cg{r*{I(w*en5MsMbbKO+
zv6Lgt8^}D^ncB5q;tmbES7wf%auGzTyYZ6VX<ihId*x_Dr9mF|<8S^Pf>=E)!Xd`b
zkM;WxaEUe>!?*j#?@dk!pjw33Y2WJt*!z&YQf+4pQH;&EvK9sKdd6Dw#5N&(aDi<W
z`lujkUc<SpCx|iY3~z8r6VUy}_SnCBr~ry_bi!FdloC39=DvsscF3%FDDp7#f^i#>
zTSf?vc@UjA<wbEiFz(F+ldC^1e&6reDTEp;qHF)?Ouv0z?s(IU0{`A~)ZQx=#>rht
zny+?>qmKRKYpttBa4wJ|G~11U?dnS#ZrzkXzJ2Q?&es}2R!2eozRv_)th{#dHLDb!
za=tZExZ4Qwpk-7wT?F|W-&aRON#m)4fOY%yj9}0cj<Bp}=CWa4`bB0AIKFAzvvk=I
zDsTOzhlq(WxhnjCYmOXJCcd)#d|?QduUFNYm&8!?xBVwy7X?gTxYDLoWeBIIjV{G~
z7e|Up-#VI-5*kwSEDUoDVZpKPG6$<9wvPY&bu^WTji!6dxHAl4vVBwP6XyNAp3uvw
zm8Oir+PerHr<nD|nVhv?Y5ddguPK$Qf`3mW_1-8jgd;RQ+N--V*xdNyX5ejAJUU@5
zzu065MDv&&StU74w>Zyxy;lv#sk`!prwt+TSNO@8B6$>Qaeq0_s)3=Rp^`zmM$jM|
zdzz1;h{72TTE!F+mgl*ycpo<c*`hGhvmcZ&<#^D7TNoK@gX*ic%o%~(jbtmqXG9#l
z-Xz(Qr^%c@Pc@h6N6Se&KCss+BOGv!X?&!GZ4qzeHJInCMc*Ov{gMjy<QJ+b4r$|^
z(t_dIMk+*pv>d;hu8JCMJv|@Bb<h+@9D9<Dp}*wUYG}L~t`v9r^Y!TBQkqNhR1lL}
z7`C6*cB<o+r@jPYo*tGSj?eq$LkCB<uBjSV4SZ7UdePcIA6K>wLRg3iyiwV^-c*N#
zn|m{Bub<OLjjFFE0?DS}x799tX@!LS^<J}-dVP#z)OBW8m_gv)cP1?N$T-{WdO?KQ
zAA0FcVfF`e`18)yY?F^B{`Y{w=cTHT+ZSkN*99$sb1;^{`AHK`JUnevu}cp#OQm)e
zn_58!f2#6TYc2fQ?ewK9NSCPt{SrUCt>MCPmlC%`Ega0K3Vti9gY5iQ+*1tzTH4Dt
zshwr|Zml5A?zk5I*;tu9QwHG6*T1+mUJH#|X?b-mWPG{e@?Ay120|>xg%jvnXk-U_
z)w(s1?PvkZOMe?swJghvc&3R)W=k2gr)v1AYL`{SB^wz0@A|KubWIeH8@(iZM+Hgl
z9J+oFZJ<k7C3-B0jC4kJ#hDT&=S-bXpYE}N`-=y@ZZ9LDmN3nEXq^JqPp_tHy|MwW
z%yahy>NL=v&vQiShzusy+p@oGV!rpnXZfNEb$ly7oRP>PiG5<n`2Jq7fyw~h`q}ep
zSo05A)-$=0bNk4MVi5B=p9)o4qE&Gwpw;V&2mxR0`?pr5Yy)(H_L~G}6{L;q=%st`
zV?leevETqeyKs}O99bE~_X_BLw&KRik-ukS(*e3JEtP!dVRBC6@HQM~N3ZGT=8sI7
zncXM4xOq$g->oq!HMCigqXiW|-nWK;Y=XdlujFv6I%ig~!aqjFvEjqgT-M+wFqX^L
zFN1lJXSH`Pt}w1pVx!78SwREGu+G*sDXio%J4R#tW~AyfxHc46g1>QZ`F#gTWDP1d
zz308e2>y5JknMy8sN5+WIC57UQ#QUy{#dfekaTWY&NH?EiNg3n9Xm1na9Aob_1GdK
zSv)5F&k1wL+|a_fwjzS;XRPmbk1R4M8mk}1KbQe+qQBX?hsohpQVsOVCB}fc?bI!*
z8O*W81y1D(<LJ!^@slrpGt_n_N@Scf1)c3#=CjWQ@#MF>ta7sz#vVU;?n^&RVE;6~
z`8g24A3Ha7g-rZmP;QcPet4U}i&eA6nt49d?NT_d{_HO!{yJl==ph}BJ=bg!@8iWC
z-#SCD4y`d*M*2Qp*QbNP?{$nzKbd)q?X`y+ffZeIv{(eL(%@KBV-DEzpy3g(l%5T2
z81E-l`c9e#9^9PbX2^~6Z-(Q>ve<F`&IS&_3&zmt9+$Wp!HtfKE37SZ9JtTuY|VW!
zV~8%Ex3>pwtbMmDoVbGve=gUhP3Ka<CV<4M#XN5d6R|H_=D0EHz2f70L@J1#nQP<T
z!HuC8Mq~xf^I}p3<Bjnx3M@Xk@F}mF*<Y$>=DCR<uXo%H$^Z(yJ@sQ@N}dNN$$#a~
zY6~JMr7U=`&j{xJ<?#j9@}O#i6K}AFFs_sYIEEfDf>>FH(^X--ctc&MuD67Mdmgat
z_LnpQ-=Bh4-`esqbxC>Ds*Ra@7Ti-sS`DGJK&G8+%a0t&ZcliYMe%iLeAfHjhG0Iy
zR%NqO0Ec+rYkgWTj#*g+ca@2T@G`#G=}(OyO7;%a?71O<)WD}X!5<9Zavcv>BvBau
z$%bs+sV;?r{d@1~78!unWk>5cKLY*>eLS|OMH>G$uhY^FHvk9G%BVw@A~@<6U(CB-
z7DG5OT*1-+cG-#u3Q<LI;|3@7g7xy4BcH4JMb-c!`ybvFVdmE3*E0lwrii5#ul0_y
z8vtGj-WC`tj+0Jv0)whVJaM$CR{5JgwC!4b`?5p=EBHMxR9YzGna)Z&{?vyB`Fl(9
zOOoiI^C@m?s0wzc7-aeK831d7TK!n4G;U4YzT2Zv6$So9F9~TIz^xkd2dCy_u%77M
zdtg)z^%b?N>irF18+pk}<(wSu|J<3gYOI0e-(P;nT{8g10O=j>Ods{^%8%cAo|$Wc
zC>u3d455QhHHfC7gqb9*eBobYH2oSJ`6R{=<VN2#E1e{w^xwC?Px@+M|C#B9b`~R0
zi4(IvcJlxKU&sFbzORiOOK;@g-!Os$D+w<$&#K^;=UZPm2<xJ)QMRr7UJ67e6}kMq
zqKbyDk2Y|+>*3)whin!%Dx9kzxeVP=!|ewj-`yXpk3Y4B1le7Uq3x&7q4Q7Fk@l>!
z<dca3mT-LB{$Dr^tX73yG`-P4D`HBAYM}w{Nb=qoeT5D!L#cue{UkIQI1pAkVu0qu
z3AZC=Ou&0chBe~_8UF_W0RR6Cmxnvm4;04jz4zYpUfk>2^Lwt*FQTN9LK-U35EYS7
ziIj#SDpCriG$a&#4-Hf#GBQIVvRC%6f8c%2dCqg*_w(MA$$DGBVu-#i-%`TXSVD5y
zohXmTy7*=&!NX^ojtQ1Y`Qk6FfOhOgpWR^!9&sJCX?ab@SMT$etu$<)P0nlmm>3n=
zmLryV-RY>!b65l~*n&fHxA5KzR8+Ryy1Dxh4d-$G;qyKMZsxD@2ydZc=>hSAFJ1cB
z%U^l?OcKCFo-+}YNh*fimfo>{iHeoq5_@x1n83KWWHA4oicc=R)hlSy#pp}lUzw#b
z;k46bPwGE?9zKUa%}8ymPm#`6m}5c~ldY(gkBVFDS~HJxXrj%xbJSzDc0iAJdN}P#
z!HI@P-$i58@IB1BKlZnSOQEOO_#<>NveU)zFqaBOd1omFgxSG0o!H66V>(#oIY+5k
zBaaGscWe9)*@3Lqgk8o4ZQS=VwLrH`3e~Px_nEudLFe*V&MFx#?4JngZu%mIm&@;7
z9apr2gmnXR`#x)6OPkTO=|Lehi?4e9tBnbjjNv<0q3U?>1?y8!10EF2jD4{;kqJ+^
zT`u}5tD(TK@U2}x*s%VxgH)mk6I%14PSk!>!QHP`WSBFH<RB><F5L_eBRw?0v!sOc
z9Wo!5+o#EkCfQ2cjsU#acyFCcqyp~JeNEGM86!i?Y%-jM0j#s*-5V9;(51_wOH6-&
zd>EbwrS1d>PG4R2{vnN3-lB6S<$FlQKjI5vakdcgK_Fc0lO(2FwZ&f)Zzo@EdH>|d
z8yiS(*n7LSQylx7y7`W;ZYE7r>g$^ST7#!lUx~AV7`ks=8(3)DNX}GU=h|at4LNxo
zF&?Kya7<^iIsR}X`L_J?XiB&hv{+%Vq?Qm~){RbIJlIVB-E_MBVTC0)a9ZUKU*$(#
z!xolx&8?(Em1odvVM{Q6uJ`_m3om;5%d?PPUF7*Vhm%!1EZ}-Xu1wb&ZX61}z<qLC
z4|(V{@4fP3bFlNjb7g-bC*J9}rCsFLM>bwqZ=EP%4qNv|oGTXKz#r2|H_9FlkcU-x
zECr96L2Psjm+N~r^qA?H7@__l{dkiOskNE{|C{I+ZO>Wppv0zoB2A;@6_dm#`SzyZ
z`XAdz_pdA{T~b`*)-X<9e)OMm$}<y4?~IlBqrif#cZ~-#YbMF}K~5{Ax(Te`Kn5Jt
zSRuoOjVGjAr^)++K8n&ejA3mPrvi8{ldHH)Uk}gClIDCLB@-l!K{R=6=g+n!a^3yx
z6i3=Td8{k{B>z<-SQYnP=S9X6nX9VE!xy<orro(Ck|b#a5&p3T)tO7AZ}36;x?juW
z$AG%;GPf8YRKBfwzH^DJZcVh<QOts$boF9yYcZfeVfgrWk7e?vLG`anVK!WElwL|H
zG=#R2nT}kp6>=jr>mB_BJMQcs$b0vnAxte=@7X%MLYk#i|J=vIiISW?4<bA1(9*Ac
z*FKg7HESm7!)|k7=@C!f1IOubg4a00gvN@oZ(57eym>Gp*+lKR3>_N8<mE=ESaIuB
z6+Oa=4-5TM1&6|Duy<UWs@u$l3TZx$VuS!z=9(;ht2O|hyU&t;HL;`n2?y_qKp~7U
zk%+saVE_i@xe3A399X|(u{gI=1h;01C=8#|ht%%!lx@ab$nwlt?n$mFeqcR2eso?B
z{O23vqm#MuSoFkCcV2O1J)54O8mb4foQXrDa=du1U|<I$P6F+cFG{ep>Oq^~xl*=D
zK78u>vMyUg3ORXe@9s>a!u8$i6RU3tpzrQBy1-9qwDVcx_MS-v0os1Mv*|*Z*uAr^
zpi&k))*Q2$S)jlxjrP)Sdqgnr`NOwgzse)ocg0oYBL#}h=b1mQi=t5M&(U2RN*Gq(
zxH~?d0^!{{f=7DAP}KL)g?PFO3Uatqm_4FEWACSaxiu2#)-Wa;bwm}3-EW`o{y>5E
zu33?;b&^=4SjOv8tA^Xj$HiY*sPI}!Xpip^X(YC0e95uVKyKNa@%g?~s9P8MWskWm
z3bZ{7%_`T#KW_Z(h5b}GWiQ{Ls3?!Q%o}E*p4vEjT6&E@h8}FnXo@RUQ$*p`8WX3L
zf4*oYm}VBQ57B#u)IY6OM#rj#hT&%v>>;*_%;gz?m81Fm^amBZrOO_2FF+5kSN;r2
z;HJYTbDOT(Syi;Hp>Z~;8ldFfCmB&~bg1~uYp`gnj($#@)g3i7eBmHrX7bGt;+>3>
z3nDbIR%Vyvk!N(Abtp*LGRXk%ct|#?(!}VZ(}fZH3~}IEky46<F-%FnE6kPD#;>pH
ztwgvP__||mlTNk?(Dr#=Qrf12-iuiW&c!e={Oi!kW2R;ht$ZNt^bK8X=IlPU^o4;E
zn6CY}&m7od9oaurP>}grsiFHf18;5DObdHt2_b#`7sP6*SYi6Zxv7$YW2+uN8;iDv
zu8H)m#szv<cr3mt-j9Kw%c8c_c-TU9Rmr5xK7D-f`|h`EWrn!nRl<$Ae?E-C^W6vf
z^^tjz+-draj$t1eR*!!H3|a;bJ82uBi%c)NdC^d8*F{<7Tqf-N{8Xw&-2kJ+d~;;7
z^-xqkX6~h{9aJ|gN@up}BX?;O=j}VXxb?;@&Q<kxpp2$zwl4Z8xlV)KJWvZ8ahe{@
zu!pQYy+z9rdbnyV&}3Ov9nXB)|Hk5gJ%r4RoM|{j#jAWBUzRGBvE%!&m+xtN5S;02
zYM@at=&hbW#C2KJxxL9cKhz#7H&5%NzSlvn)byJT?c%sP1RZVH+C${*kNLA!+L+`R
zIn)p+h)U-CO0)d-z}mbzN9&d*y5HgMT-nQk<|=>VcwXAUvbFi(*>QDjt`Oc*5Hd#+
z_j)qJ*4x2_d!p-V9MmxX>V=T7eZNWZAzjh>9ww}FGdMGlu7Z!&1^U{pc}q4sb%;$J
zV1k`(vd330CEWA#?DZ|VO~hA~&1Nh!01Th@cf(V1*wgD*o}SWAyhvkvxGfUkQwhsZ
zm7oj;N46Xpu^S^Q&h*UIaRQ``eO<ZgA&EI8d2?j*B*AZCcT+}{fbQZtci(z3l&V)_
z`nyaM8_o{g%Coiwu3x_uf=`LyV5Z43=`};#@rfU`^tFMK>d=e!H3E3Es57dmWQL%v
zU7}IXS;Hrp;n`ISJh)%b^Y2K~452JmD1G6T6&zj7CG;?X6N|iy6!`^ah-*cQ$4n<J
z0gfqp&mLvNbc6mg=k2En7c2KOJq$}Q`1nw<_rMByBR9!#eEk&BTGw7`cH9C)pP^}e
z;yk(F-25Wfd6M|-H<sJ{-W)t@n>|=;XUILiniF5FCy0-k1p3LCL+)?4$+Dmca)+8@
z->}g*5&TN>#MvM-Ncj#I0u4vVJ!WcrspexuOm_d_p&C<2R*wjFavvbQBx};S?~V|I
z>~TuYbW^Annzmh`_L8cN`*!iL4-@+qk~+6vH-T;W`3zmR4pMD5*XG}8L&VzcGyA96
zOkig6)3pn`8p%H;lB!w(gT&*zt2Mp_8w1PwBAP+VXEOY7^p$Hze-l4s`zT+289|GT
zO|jWUBw^d!jjqxGqI7xF-Lh>)pz)z~_}GJN@^i}Q<so8#@VY8G5Z=lF77d|ae)LR2
zr}%)f_HsYrqTxT%w}k=Dw;OW8FP9MS`Q$V{&-4>MdQ(q+v>U=vZi}4hqIX0Uv(-Xe
zcYuhs*DPDN%MgsE+Hb^id?sxF8ijaY8z6RN@bt(I)8XXJt1r&&`$`yD{5Y`A{5K(I
zRo|^0PKP|DHycy#ej|F=3^Jx91_{T*NsfMebXd2m)jzAWnV9wY6j)6eBHq0^5qivu
z26+ov2I=oxiPxN;BkIEc5HUO^f+qe3(2{F7?)9;QuwHa>z0Ea3u-`Hm>$#y12Jfv3
z4+Q=o$||Fj0_sMI-w%VQb~Nb0#qH&1%oe(dH77Ge;)chFq|$)@u8ZoygURRFb7{Rq
zY_<!ph~xwzHZ}Y#a1#|yzpu7kcIhKxO!CWTw@(sPoiC<7Wl%s!?d^pa*?wYZQ#+-m
zVTw3iGQoT>tP30T92k`xzlmb6vi5|a8Dd?qM9Umg7kIa8ml{Y65sM$4Q!*_75`4Qj
z-<I6efkYpl`~SHP6C27wbKGQ}Sho53acEu}R@_2)`U*!0ho@aSqk9$!_O!;-8@}4G
zC!RY^hB8jf{Awsns$V8{JjqjNt=58b%-5OQuTK!v;($R@k_GnmML@NM7St*WL~YcX
zA|_O)d$yXhLAM6m{M9F#aC1T~s<L&Opym!8)NWyi^#?~kAEjzS;2Xp1KZ<7w?inTT
z{dYMbJeQ@h^sxrSTb*yyct1zjEI3hoZgPW@0Y^xUsRrb(%@8}qu}F-N_sUZ$d11=>
zeW_NZIxHJbx@<YIOf35E-ld@@02}RP8u$9D17`>=+aZkwny8AFr)!1acTu&62a7t$
z$89$*m12V<^w+KHTSb7GeT(haLp3m`yOs*QVu%0kbyS7~ivj;}Mjvy#8U%TU#j(e6
z!b#T+5rRe%;OlcuuUS<M3XX^hK8@i9$9<-I3zVfG=J|=AJH}OEnKI!Nmd^{;o>@;6
ztYsi_v7>sSP89;J#BBw{1i(PWe@5hj9Psx%-lYFl75w$@Z{P7u2ng{_UasPbpmRif
zh2@hfn0D{BZKx7~k+;n6K8?yS;#hW4=8r1eF<hRL_7(#J7ne5$0jj|I*x=M#iW-zw
zRt)J$O2CQQ?2J)9bvPGVR3ddj4K`C7H|5VrLI<0lyToS=F#Gh!n^j63O8(wE$-^!K
z4aWmc^XF?pV-`hc+ZT1{yOQ@{t+gDq#>T2-Khc4HbE$O;qy~g>nSbQCrvSHo-&{4X
zr9j1f#i67zO)!r#3;%AZ3_GlrHmh^$gOC`9NM3+8yf!ru)n-wJ-QP2;oLy-kPZ?Hr
zH`j&YhypFG<7z-5|K5Vye}C%~{p7(eDy;ByCvW7^fb=TqohK&@K{QOs$Z$p<5`Sy7
zx!%)+u$ctkgM3C%7hRp%9YKd(f)3%*Yqi1jhTNWcK4W;3_|5LNDFY;`^S1t2)PdVW
zTFooJjA3Q%$^Ai8W2neG7ge7_fqm138%r*kKtpOkmicB=P)>~#<#y16%5NK~SEfzC
z+I{D$SI^C%;_xrlC-3xux+oVEz-tNtj}t8W46UHQeeLlWc^VYnh~o8pV*)2lQdO?M
zwSgIK#oc8JbjUh8pPa&P0^+}RD0Aros1NnlPQ}rI(|a8wbi@d*T`H@T+R22MN$1|R
zR?$Jh{Zq!LKn5gV46^8qvIBLtBss5EI=IE}<=T0f4zgL?)k4SYVY71?dANiQzYiqV
z#Q)F(m&GOFEK3Jif9HyG(r!8|eM!G@#7PJCM`dY9RXV^Cn>Qm@%4zUdd$(6rk~$P=
z{XHWo>j+x0kCtV94M0d=*q!=Q5w2WlT#jWpLa3WwPukOey0eu-7F0>#xmxj{SH=+(
z*0B0re@}rn3YGFDh7W||ZxkDRbAWeGEfbsbb)bFad_VQSIpV0>3gyuO2gq7!InEcU
z1y6g~C!~T)3Cp1ewPhprz{a<M^Ch7H$sCT8KGEZ3xskBjimyE!TP^HyghLIUJZZdm
z*PjI)nq9ZQs<MMEwvquNkCowJAJ<H=GZ)_GzncHZzz%M&A72+5DG#FCu1#LQ&xf<G
zDCGhvOej4b$vu2l8m`$Jc?-W5#Jqx{OD|cOa3aE=XY#8!w5Che`F#||-n*MM1496~
zR?LdG>=FU*>gO9%&x+ul1HuA2Ed(%`LgcsOd~jaH<mq6m2y!RUx>#Fmf#H;YRHl>z
zo>X0HOPCeG#!pU_roU{UZcq0af6)~p$R_3!ZA1hsX?;<OY&P(gw(a@Fr_;o}=D@Qy
zH6j={DC_WvVhwd4IuzcW9VD)u)NW>EieSmn$TQZyR$yZ!oHp3lM7(YbOOOu|L6sPd
z{f9Cv!E;(c@66y+(ns$V|B}53s^0PM4C%LkAHs^iT_f5_TSX^Fb5#+XEs*9tVqpP|
zoxg^~RDY9h(T|%t`9;v8-j}8LsyVy_ALG=pak8Sy_1prN2x{%iv(BD21LHeu_tp<i
zldN&dJ+%@dxEST-TCvRxHu}Hu`#Cp9>KmPsWi=B)ng0qOJghYZZLV`0ZHt!3LwvR!
z9}kKkoBSIKDMwSNb<#D7OJhO(7B)kvvVXk_b!Wepo515L;()p>8xC(Z%Scrd#U(-C
z&NmJwz*6^?&!dhVTaCC%`frQkEbW;~U5zo^iF?L8;=zf2$)CQ(n}}hT;QeMkA7ikO
z&w9JQi3>wgO;Q*C^)Ro`7c)*z7(u>vA)D(a9!&ooKK~(498cSS5Z!*!2%58_PkOcR
zVqMRK(2+z59K02z-9$G6&y*Ljl79TSKksf&+Br$|saK!U`^P7LI$n<8q5u}W55Cl#
zDTO+o(YMMH7!dOI%9gF!LMWF1U&7Z0X{1S=y*g#bfC;e`=d}zGyxBA^PF0u1OWz%(
zH?T86HQuxDl%goM3eTsWxFm=B)x}$bJ{!V@+Z>DgrNpq`-|P7*Sp{qhUc#jeLtx<y
zFutNBj^hj0cXp#9Hn$|FzKt-1BEhGhH=0RcYkPw1-m}Ws9^{#l^N)Ybz9hxZ?T|#z
z)g{q2FH}&XW9eYtW<y9@rQvq{wiIUH6cp}zp^Bkv)r*Hc4IyDek%{=YG&;~v9&V^m
z!`1qHrVsoLVc{7)O?<N~9vx)4e5penYxl{dGvW>5@|R%k@vm}NE~Mj_!mf$I{qaUq
z#fG3znh<|)hXQWDD6zASp@om)7Vqs@G=$c7=><<YmC%$Wd{d~uHr}@XZqK!m0bi52
z<@m~!G1L0p<Xol>R?B1z+LtrnW?y;gQiTeh|F|!!w^<jJ|HQlwax{WZf*bSMpQz$1
zA04@BZYu6L-$K3DZ3H||TKaxvs-e(c-EX!OJ-ijgPPvt03{{I>n?h66@uO*>XQ!Dy
zW)IT8T=z49`coX;^A|KQA#(e&uZ{t-RJbkbuQ3IOq;hNR7)>-nl^?Ye1~_r<Sh$*#
z8Pxtr98f!?g>zkw&)X7dXjZd$&&JyvP6=CFzT~crG#{RFw=o(Po_r#q7h?gm_rR5@
zrGs(Nh57Y7bgcbwzGr`dC79@p9klwTgT|+J9eglI!-L~JM>Y*x!P)_RUV{s|cq)tC
z%jy^nKO}GZP1mu3=TAL6_lQ$)b*CkB>X`w~sWD!j^tOeIf~p6sLMdqc>4(bm41GLQ
z8qeW&ihy&fTjyUEP%us1RihvDFgjIxrE@jF0h?<k?e8i0G(Y!yS|$ZePL%z5Sq`vq
zxbj7B9tG2Ft@H(|buhDCEajZezh1_&=9k}Y3Lbd&wML*y3#sSEUXF${f#Kd4yLVC-
z@0|A8#`#zS^?%ZH_ZBhXRQ-m{TRnBrwb84hH%<*x(|y`@cQ8S}{o~;1bsd}xdh?de
zUj>`$ykEEuGvOK6jSGD*wb3?-xVi780&d%+LfbUJgrn+%!mnRxVKAq_A*ogw?5cRv
z<ypssGY$s9yB=ubNQv*>Iu}V?2yjfw$zejbji|#+yaxV$ej%Y)P7Gtpbq7BOF`?Jh
z`@FxeIttp=|CC4;!sNNDYC8;=aAD4~eLX`B?cUg_g_iQ-l{QnZo*saON*@#CQpMIg
z--;jRaH7vOvBi|j04F<pY)vbaadW~3T8#@EI{GfiMOy$kg{iYr5){!i?+Z(r)e2c3
z!|^Kp4FUBQAzbSN<?-5|so7eI1yU}zGWRnV0UP%p9<mLP#jK46E6-W~l9nEF)N)r_
z*ml#s8xo}P;pssQX4f?7yv6O9L9z{;6?aLEsgcBBsqo&$^Hb#Cv$MChc3Oi-+qYYW
zCK4E*zg2qMz$B?0An<_kFE9G;rS?887sJMod-U0sNz$;(z}M%v72J0+Q7Z}-#hi{m
zHCB#OByHwn#hTBSFxRf*b^JdOlx|F1beEYXvy+w=SE*aVH};x!*CT~cR4s(B5oX9&
zU19elPFg_ub*q%fd;xs-MoBUG=`1<SRJhO9X%61p?|Ork`0-HX5hE|}Ig(*Fz%{@$
zhri~}ugZPo#nE`0(sio^a^B5GlK#*P29FjW70Ks8p_)sF#8xkn`ZD~=ZBl07MKf~e
zsN}|bs~+yUAGtziRJxcA#F@h3aA%({qTF~kB>DE=KP*^OrC_po$poTD-i4hx|1a+o
zk5z~muwlqmegjIV2@G#YlRII^g(<vWowuH1$M)R3)IHP25YA$g?#;@D(H-`k_XjyJ
z?7W(lRG2Y%%$|OrJjaQzPkL)G{kiaa8k2SPiV+y_H@izpb0O!YLvekJ+;~V{=ZnaB
zBXC$Vzo%~t7aD~5;e&^~_#`5J`vrL;u&oU9x`bR<B;8mr9m0<X<mH&1PZ^;1=7iop
zXKpkTSC$L&5=6I;HUo?`4A@AC4^*7x#%C4Vwk!Gx<3gG|OZlK7d`lL~&HccG7M<-^
zPFIQG1l_jl<0V5-^m173QNoKVds9A_Pl)1S!F!gOmWEKN7V)k03m<mW?h!e~5XTh{
zHOb5&Is~yt-7Db}!0!i+NS-?<fr&9;qn258SnvF~DlkwGZ|~jmI&)4EZzkDTPVb<D
zyifd;{-hA@{CRlQr8Ckv<s8f%phE|bv5N_n>qXFNx383do-B5+9Ur(kLW6hLHYaNk
zq9}Y}zs$37IXvx>6Y(>H2HnZ@KR4{e(6;`8(m;~}rgAYVFYWrr!D~|3RD8sd{jj!P
zL%R~L9GyS#-j)WR$5eWAFG(OL$I2GzQ!4-Na+ms-L4!w95lu>MlIZki=Z=(YRot6o
zz5Lsb236BXtk#1xJ}W;cc&|+jDJ3;h`G;wc6&KF+la#?1b_)=vqJdXCX&yNhG+0~C
z*k-v^4$pMQ%#4L-;*KDWF8s&e0-<d!-ogsVQQs8N(x8R=V!Hyx4*cWe_A1u4PDM<e
zTT$6)qk}IB2RE<%Mu%l}A+g*_Wy~8bWe<9!i=H0xUJ)A&p^6Z^IoGR#(bFomoC;KA
z?$z#y8#M&eg)g*|BdU0Kxu7g9Ru73$d(g>YfbMmtcOk6*d`a;EkA1g3Qocs#<ee~r
zo-ZvWtK~HC+)O}RjwTJS-sN<x3^ImxuVPA}i6(YlDC6SOpkvx^=X+aDn?Pxzn_B)l
zEj(-^QsI+9$JTixKivXT&~p`8w{w>^iq>e4CoRy?YV7>x`%7jZ5pYt|Ay5aELjG(C
zFfqhWq6c5)Z?gb}!L2TuJ9II({2E<ol_9=Vn~e#pvxF_5qgU;*rJy)lV%Jq2L#+Ak
z-W#{Z8cy#i4z*gOV0;5lRor(v665~d-5+e=)QA2$&TCYBwDNoK@Mbz%Tvp26V@?3O
z^521y6)K9I>PS7YiiWTKSC1At1KiS?zUyMChbOjFEdPqu$G?x)*S`D>V3;$NF8eRH
z!X=I_xCBsf?`f&KhmJ5o!Z9+`R9Fx9f6IB{B(95g*P^Xwe=*^!X|8xq4i!6m2AD;c
zv~c*YjKyVJI|!UvdK<t`#bHxRX~k)E%<%~jX*q5O_2M~szW?@eR?pZy=c$U{z1-Ws
zq}suQYZ;>}j=Fesokpc|h9X8z>8vJi*}=!cQ;%46b?~I$nMSFvGB~1;GWs{p4y-Di
zRez0Wp-!5#LzbTemXO&?=Y8zp@A0X?*xQ<@CTYKlD^LWtaJjD@Q?Y})HB04p?KJRV
z2|j()&Wk~J>QjmvnXvPx)cBPyHC&mwwoSg59X)z}T5gD9LVN6t>f{Mk+&R83%BOOP
zj4-yDYFA;xqs#B<XH`^iBsnruCUcrBxFPJxRR(a+NLg0r-`qMkH;oFrjgXw8Gw!?|
z017I<{TgND@z=WX<D0hsBzu>9W;V4EAognORP9R{bPf`J`BT1?)ZQ6scAk%bfa%*g
zQYWO)T2V#yN81;2p8r)^zLhQ14C)C|0wwVNYwBR?LIpWn5PV1@$Of*Yeh9RV6+_SG
z`JA%}#pH8qf9~(O)=;%tHT3XD5oB+FD^{pbNLo%u2KfB4g4QQBNt7c(*e@5G^EkVN
z{P3*g(~6E2sIQG(%DB&uLhFtvuC}Nk+p9FTb_H2NkA(cqOif;V6?v&TobMx<dL`=F
zLYW1`M&|jBjB?=^v~d@G|4Kg2VGRKh3lJ*#y!+P*2g;Z}+mYnkO!_}<dz`q}94d#h
z@4s?m$FMh)jtBcX$Thu(vFxoG#ITJ0xzWLjfse~$^@h61-cMXE4>Zi6oa;(p;~f^1
z86KAJUDZdvT%TX2n_vo^WWlaZ!xi%AP~K}Q4v>YK$xU)oCO~_)sXH)oi9B{9v^dZG
z4=HFvob}pi0(z?t?oL%&B;PICGx`=s$$jQ5n`*xq!zq7Lmz_cjq|e?m|MsqN((kn4
zg)M80fp*Tg>D;P$GR)(_mF3z=QfDg0y8pcq7+sY=daZnpJe}!ZCs8|1{to~E|Njh^
zcR1C56vyqAy;t_S+<RTuUVV?P(2`2@laMHs(hy0hP-aN7OJpQu%lBhtr6NMIDT%VO
z$FG0SbN)Hc^B(7Q{%^aEo2fdSY7-;A_g}+H?5r|bM^<o5`XztUJ1QjZTU0UdUc-&I
z0xTU_*75F?Wy+>C6$B6aq~s;8;R_G%1aeqy;ywy$gY>;>kkQ(7^6|<VE)+fRJtlt}
zcjJzU?RQm!m7HyJm9TaE85djOL?R6;y3k@Bv`m4STJ9VA)*HBJkf`L=A6gXT{g;08
z0R=SLidpx-CN6*f`KtSW^ytiFq?MyQ1w<=7$YyR^_>1K$bmSilNXcNI=9#;y@b0jN
z&3g4VzUPBP*uw}Ww3vJ7u4W4vwnZz3-^<V-qrbz>D@RyRdHfH}^L%9R&`B;|p`}G<
zcs`4Z8L^=vhS^Up?j*R%yGJm0lNJp;sofZ|V@I*I`}iXoiLfe~+G@v7kDNXL^~_^V
z)X(zm$0Zdaz&=BnqJ0eL+Emyq^IdM_D9*vun5+U%L$}$>G8mDt9m5s9ejZeDSKoWT
zhzgKC8vIEYV@Ba$0y2yC@gdq?`3kN~WeC`iSovMWg0#+-otz%vM;@Ha|7q(eL*nH>
z{tma<(BpBxlNX`{(dl?YPRbwwlz2}~4qRqOM{OD$KD!GeHAY7Em$3w(Z(|F463>Ya
z*L}%&>@JFIqjD3{PY}Qy<2PHn#El>TkCciLM`^2_8a~<tNMY?epHj|)=*D+$KKd?!
zE-tVneO4iW!c%XW`$Bw(sKb)f_eKhFzS4ZQtw#XF=PB+H&yUPjgg$g~$e>_idR*#R
z0z7cZ2%ew{BFEQr{r}yRMI&c;k4#k%;7VR=()oEI)Eg(5DZnI;>~FR<CR3Eb7hM!p
z=@LQ3#^DE>pDCb>Cv64HJ<4GF=rzl?9x?O@2sLJQN{B?mUAUB|0*hyVQZhDoBickw
zBq^kf(zkot;;V^p#xPLmyNncSiZwiSbV3FB|HsOHl#L8@*WUzwJSL62V{KYF%SdR(
zs*pD}RTb8Eu`C5Yl|c%0=Ep4WsG{z^9syyT0$!$%I@5m1BBmhj!Gq}(ba8NDKkGj|
zCtqLZ=`@u`))g-<NL)}u@8+imUkj@P-H$Srv`huWb+x^JT8WB+sJG4@57B^|Y`;eB
zcNCEkO_+8}9TmM14IBv()`Gv*&4<{J5Ky}$_xN6lI`Ypyd+$c4HVB=GObt&|M)~$L
z%SPwa(Jt56PklMMu>H6AX?lYS@=7&0;_0D|Y7)f+4#(?*RA}d%dpi*&PB{{NWz|va
zT50#&a6<@j$scacBB86}n=D;%R7AO|Y<<HYgNgD8CegiQ<fZ?;?rn`4LNP@gvbg{_
z`y-Yg`DEm8RiNLVN<n!Sy2Z=y7=iP*eH~eCWc0e)9XGs3M&yc94g_Ok2x>W<bUKxc
zVp=jZY0s;ma4`aPamW~03qSIyE0U45*``$~hY~sx?%xt%X9D5RDxFWelaQ}Ryx+qJ
zIW&J$T=ecU6Zqbkc*WY4h$1NM>+KxUNK#y8zh0{e{47#$nw3{U{AVH4*+C2mUU9Ud
z{Wm|DXZA|BjDYt0jV-Zq3ZPM4MuDvt|Mq*k1rJLpA+DJ!pO#`ylsOYf<9pTwLj4^N
z*7ztOWkqo>|CbDi5yZn}`Ai_cVfs*Bp&U9EOy}dOxQg=(n(M#IH-^`aSx!FFGU(p3
zPmg3P$MNLjjmGhM#?X<(Z_7)NMytoBSFbr&V>-{mqPXjfV2(F`2K(m|W6nB%<Mc`F
z+E^)h#KZ`CWtQ0qDPqWT-2d3z+j&gU-zB5F3BdAX@#)SWVYIhiX7%}}W$drAgWtL(
zfVFmdhD)3P5>p@(6^^fCYUjJ0FQi})-4(`_Jj9FslPZ&<q-|muls=>3!abmOLWfP|
z6gN6}KBt21=N6U~k%a5F8N#3DOS>pkc64SyYV6j9ZOp^3f9&^+0oXOSavO59AW<HU
zFXisr7?Z)zSKC4ckg@rzmF_45x_yj|KVfwXn{Az7rCR9&26fBNw`kDO&LFu!vn?!6
z?7qFqJw0f;q+MP`vxze)&`m0PZer&xz8|^Kq6<AV!cJ8M%Xpc-bVgRd2Bzb<_OgIS
z7tD`L*k~-y<JIR96{I8AF^kFZwS&$&plcHwuMqMJj}&f3U3qKRsAk8NjWTUmHp-r-
z3Qgd>K@Pfw!>gE{*a?yiuQnu?DDMhj8o((%Ue-KntJn<v&!#zFEx73x-Z4`80q-}+
z*|N-9!FG-f+CJ^m1ePPOmgT>f;N!uzCj?*xJ8b5ivdcshx^*d8=hTX@%6n6FYz!+H
zPluZvYq18XH1P=qnzUkv0=(#_7M3y6#E688yat48*VPM=yRn4l-6`KVR<NL~-vNJ;
z)uFL&{&Rr90Cr(*&bHoe1@lUB+!g*W2iiWH`1#a~U_mzug{<3GuwBc=)qIImaMZSH
zR;(V!%m-hK6Ma@OQ3hRpUok2~_|urZi2IK1{UB37HD1F8n5LQ|Gu7baSZeHjyPw#q
zT9%@_**ZqK)pGe5Ne#-14`_R{&R`WvPaVYlH?WMr&U<gGDd3#*^P+O~Z!DykXhl1=
zi8=MZFf6m7fTe?T!iB0ijEgN%RW)cETM4|M<M&P#i2auR!cq&E*Nc!UQDqt^{wfn6
zvr2}zc(E1Yqebj1#aNP;N()ct*`GJ6k>M4iMI=%9FLt7N^v^zfIv5Q!$9MaZ;C|N|
zztECpOl3Oj{Xhmi&?F3YlvffVPX55XVvkkqb4Kil5+@_PWB+@%nuQ3oyqnL6*g95N
z6<PQroe6}FeaUuqQh~C^ZLE)VHZhvFlt`JAEb!e&zWDE3W!MvTyZ7yhZ7i$gMY6s*
z8|*QUl<AjKhP{s?rVrcEzz6Bm^naY#;ntBS_V?om;N2`rc%MKEWe>c$j=bW8&4M)j
zBn|?cE%>^YutW#4DJ_S7Cvn4FhW@;d(Mmv;cjC*x$N-JMIHX=~@qlwkCk?lx5_s=C
zJfp$G1P#}(cK!(FgI3SSv3`|`aI-AG@xd2nm|oZDJE1H9^pA3a?VJ^X^``zWqb63k
zLmpUtza|K)|GoIMS6C5Va+#hH8Qld_fwYE#i^33mf^o!PL;-RP;vdkHIbm4$vJR_=
z7(}O@w762O06XTZR_w>QfxZ6V^l|Uq5Pv-TM^3&11nw2IZz|=1y?$S0{r*bAoGD?L
zwp;-wpWT<;OXUO8?B+nyacQWvG_BDdQh?)TKGQiL`5~h8u7S!Y8Q@SO4<{-pLiwA&
zUcFI*pzAuM(SKSFj#8eT7K&E{`>~f<k(Y&GrO+bpC6@v)wtEU4R8@j2-$e~bL82hH
z;v2TRM-kX@ZsD*EC170IWflHf91cnGbzgr?fFEVb`p;;TL2r-8@>>>3IIkSxb1_8)
zt`R<(u9~TUmmhK6yFm&}o~X<=#gjly|E9gfXCiRB25cPVmw_YY>-#68RbeyeoOWm-
z8RiV-Yh?Un;obUnLUSDjcG$0d-Mm17pAOGmd&lG;KbNbdrBDr~`43G^l&it+h7c<g
zdj*ia9pu>`Mg>(~cG4<I9n{^dvOaeyLh6-%lO;2C2qMwaE_P`^tjmJZHA@0GUaQ-;
z-lq<t=zEOjb1g`JeD!^5kur493YnN`YXBx}m`zI7fhsq;;lm6>csYB2^p2ed#Id&8
zj~D3y`CQ&im?jCjrn^nQ5;P#=o73C(eFh-K)V2LwmkdKqCznYD>Yz76jpd-lU|{ax
zDS1X!$TQ1U_4!7H^PcgVk`Dpg)4lJ6MW{lcQ*>)ur5ZH#JY03UYXq%=x_|WAR6)-F
z<!4)K3TW5Y7uKFOhP~%Y?wv1H1)G|_iQmQ~&_08`|1D+$sTP3)jn=9V(UUp!=${`B
z5E2U-b4|ec#4G*M7&6%QkJ>qw%7dGxU3<?iQz&9<u00n<f?t<Np1L2T!R^YasM0;A
zFqGBd=WIX(m71f9=h?)e=J8dIcV?!Lq_hx|SgH(h0f!TgEb+rRi5af~c~iKSx8a&c
zO917gq>wkf9Po8(DEHBX36MR{dv=l(q21-Vaasp0xK|aH91b&qlYxl3VJ;6Q^KFg8
zu5;L!I)l|)Q4@G=>^df9FAJym$%N94R4irS08l`$zkU>7nlV`1q#4NdmIl(wr~Qx9
zr*NCwj(i1T#xTM4vbRb~5^}0}6s}k=<Eu)x$GhW<AfWi(gmkzVv{7}UPIhnMiZ`}H
zTR4nhU&o~A8(CqfI%~~(_Bkz@<?)d03kBfZOP^-{@1CE^jP5ES^r-y7w^O0a06*5J
z4Ham3VY+h5&8+m_|FCdr_Lcw!ixG<pnK7Kew|368{y#?Kk9^D~<o7`AwZ1bB$*hng
z75wacCL`hq^2xdmhG0-`<xASl2n|mj(tJv0M7)lrb$o6Hu#t9Y>IEk)#5UzUjdEi|
zT6&LEO&{q)z4wah^Uv#;s&SqD4=zTON)>$Q-=+t8J|XpiHcMFTi_3uJF`%>udw+<q
z=|Nc(qjCM>3?>OyO2~u(owZuZzIR9$+Dg{HbVQC}`i4=mBV+XF_kQ|ua=H#UiMBV)
z#CBo*Wby3LD0;MS|6qIMUu~Ewx;Al5G95Fo91b=)NRI|K*h8s@w4up8)J8466|YG6
z6DX}jkG8WrPnH#H!9o@?_EGqXkItXIe@~Pitz3Wgr%6N$B24rBjl{?CXFlsCMFe^j
z9=)4J?4Bn4ahY};OPRvgxlWcHI7W{`k27-xtZ0DJ^Y$BGUeDszHiLU}pVK3`)Ef-d
zUjOFN_TsCW^Emay5sr_%4CvIPEc2Twb$H&&AR^|wh}UhYN*87_pxDI0Nb9rekf+R$
z6_W55w>7y~s$<89E*EfA`_527JA8OtF@FWe?+-jUr^1As+=c##`%$5jK_u@`^&0-b
zv3Z||0yCPgZ+o+sjtXDDDe|NC4O~+x{pf8A7W93-VSMM28gOn~tX58J;Vrr>4OlcQ
z8nawxKcK7zs|r2Su}n1Rj9*lXC*3Y&796I0u!#bE1)+l<<!RA)9D#*5ogK|uT#Hw5
zqX1`+(_eF2IyAZjbq~*RBD#<k6IwP3Fz$j?kyv`<doE}5tvWaQZ$U0w=d3DBzP_{M
zJjsB(%A!hLt$5Jgq0^u4Hvi+<3fF$Ega7z8Zr|deo4hD})d$a{k|88)r?0e!8BG&2
ztqeZ!p&kL$;gd@OFO?-nrt7Te?o5f+l7Rp+u`3;2S0%yF0U`5~hPx1d)b>Hg_k!rL
zgCp_YKhCwoYDBi>Ine&wt+)QWDU1R=jY^_Ch%g!z_)J%e3klbV69$inqJ%8BgnlU^
zRO#DQys6+uXJmq1(+-Iv2b<S3zB4Lt!P%_n(ku`1oIcK_eMJHtcq=xKKB$1M=q+^`
zeLi$~-8cD<vlKemv(6scrULo$2}yIA{D}EGxilw58ifUu*_XytVCa|kx3>y{=;G)}
zZp+^?Xl?F~Z>ks(=$lKri<*UyyRDbsVOu%W&~o->%rzq1erJ2+(>)P1Uv=C+r(GU7
zkybvMZ4*J7Bq&qmDu#Hw3mcBvDI!aQO{v5p5<Ey<q=Y%|MjVO_1#YuS=)H+de#v7p
zSat?PX9Y;2%JW}`<D!&NRrBip*?;+4<<S(r_p21T6XQ3mq(wv|_iDeUPzpqNJU4Qr
zmqC)1YZLkXB=iw!7*`(qr=JB}AVymj)sFv}Yr3F{URlv+5ACIbxO@Ib>C1BH`I}wo
z9M>pFseR;f!YOrFQar-xR4R{d^TcPU$*Um^`${L{WDN+zWyhW@E1-5^$T?i0hE~sA
zO8v2+3HLg?cZ8`*sNXA){S<+U`kbvDJ_cxm^8UUQNoNB39pLFFb%Bb`i(d3s6V-)b
z2-jr~P)4~D3dYSLRK!xORIvVD4|;C&-iY&8LDrAgZWo-QqU3|_x9T1kz{P-~FH%Q{
z=vGRst;CKRioJA$w6$*!$lG2OHK!q=3qP}0#Qyuom128dg>PZN8VuofS4l{5uIKc|
zO$y3zolrt;0LM7{$Nm<RkQZB$idzR6&9$qirrkCILV);8@hcJ%+EGmm&?h27lbzc^
zDPtJ-s{^02BvfIvwL)+rpn;{cMJ)e%A=Dn}yci*(h4@|(4_gJ4ko-yD&4w||m)4#2
z6(yqEEzBN+8nWoi1G(?YnkJCTbTRj+m<m#K^N+NaltQk2&svGrCa~dLg*vAR=!$V%
zTjNnt)KZ)9L&n4ePUWd~ypQ?Eu?tni-Cy}p-3`~7irpsAGcCliCZdQuU*=qnY2!lr
z<99?(j~GMUg-lts2zf*-r)iqvWk!BvYQ}JsF%)*B9s9i`i(Y98WDzxY@X`UbuYD9_
zAn$Byf3ufCY0Ud-W~vtOO_#vh$Yvw>wZz&L*&u}i$p00zD~;kwL4_g($Bf|7eT|wo
z7bMW@j6Xv<&ol6T%Bru{1OS#X<{ITMhTiS)mVb8pf^|$LSB3Zhm@xTm8RiQky48no
z%1kCO=^wvq3YRh1Y8L)Wze^CYMWD32r_-3r@WNIv4+bY1w{s+t_>eEdEj*#@H^zI;
z^tBvy52U0T=kh!7Al2J<7M*U-VbMuSo3Y0Y;nkvE*REtvbfd)aQOMF9Cd*qhmUY(v
zEPN>^|BSPtJA%^DI^X87CdYoW@JfC7+ROQz8qSQ$GB)$!<Q#^1Rb5kG(u3BZVH28g
z26Qhx<G8i*AMB#A`{V^pJx~nql6W&ni}u>_^_FYTVwJZU8@B><L0V2e{N(mFZj5i4
zO|bmJiVt38eAuP~G_|FLluzsU6SGnJN7Yl<bYgpG`)-|o{TLlYkXym;^B*q1cIG=a
zX{Q?FeMK9%U;p&^GP{V!GfzIbC^~^9N&hq_c56XbKg$tw>3KYZE?VZ%_$c<l-)pQ+
zOACG<@B4b{%q-5vu&k~TH;k3fdaNy^XhQPE&Hu!yKXG9L&Ajt31~8c~jizC&ns9zF
zz}hx;63_7sB6!jFVa$3C;zzD)!0vHbc5}ZmTt)jXRkffS8_YK7RGd|Z{hixFweiDv
zgpq&pVrD0{?chW+=&BCuRqb*%tONLW#;@}9jUCu)36t3aBma78au>l#r5E@9byYs-
zeGBF#SwG|CM1^d2z4o1n&v?C;<=*3Vjo7kP)cEgFHQ4lur~H!c#FeIx@?W(@SjEBV
zz7cmd;2Y>;%TMpXgIgYs-?&nV{noTk7MrI)3iq9LkGfX;jk$O3By9<X+>Qp^3#33=
zNKGHxgLim-X-dC}Yc2*!4|cI}Pyq80vY~u$z^_)kk6Wrw!%WSbCnPadFupuKTw7a*
z*KYK$C7Fg{f-_mMjGknuvN*&LOpox8y4KxT&LuoYS!(lX5(z@mX-c12y~S6Hg1?oJ
z;&HA>>XqtGM39JZLuu4%Ts}MTVWD;=en-^wl_5J34y3ZMsb*K=`B{tt&#t}1^Xm;G
zx2#n_hw1)Dw!{kj`r0~;lfi5JzRI*hZ>%ybRwp;^ESKX-lVMRQxh1%K@L+28AOQxh
z5B-d+D92rHei)zPFUKna2jy%?1Ss+&lb?Pr$G6O5<L`u4;UfVIlP`jmfF&YkNXDoF
z|5Q|3X~bKLYc6on#D7(Ul!?S?`ppVl_@2@66T=9PKj;^-s;vmF=07;vXsU1#<()B=
zj(S|<)%w|zCkh~PS9#~IO*MW@<yZAkUnBl&Uw&xLjy$X!a_`F@t-*7z3>6QtG~*N(
z$@FRuc_^4aOt<s47H@rP`mocb6<6J1vhM7a1Bbp&T76%HKRfNP{A#Wp596n@e%vbu
z+p4#Yis#qi-lDlC{be8Uw#VXHPjOi&=BIno#@T>-UZ{){8~%h>DIOHutt$(HPC4gj
zQX291sn%}U_q*_{xyfFGG8s5HVeij*;vHT&Num_lcjFg49z7k`l7VgFh3JvJE%++i
z0WXUaU+|{U=Aex#X(;XH*JZrehG#pDpI?sb!>fMXF7z>$hPx3Dr^~zF<0qaU*7~~j
z6+bRt>PPI50*!vB=2`!bcy0S9y5fRCoZO&#RMJ5T)<ciqrD}HKR_gOD>xW11@aFat
z-hGm=>t{ilLr)i;9DUp7%E~A%Opq#Sp^*ej<xx%T%x*l))c5d2%Q!x_-}IB3sszxz
z-BS{o{srGAE;OHdKZ)1OF20R%*$umGp!ID}A3o^z<WUmy6mI?V7F|z@IE2l2$=6#9
z;D=mXSSD{x<95c!y=Di+KwRUhip|y_E?1XfV1>=%7P~!JKg)^%2mk8KubU&dIz3DI
zVfi`SQKsJdu8%0Zw!IVaO=%3jWOV6pU(Y;lCAU9@y-oyZrBdxAX(#ZXZ-1TUFI&VX
z?#fQx5Eg;rqd(41uz$yWzgMRDw*SS+nfZ>3e!@^w{PES&p(*^`Fu`C`Y!&~@M6J*4
z7XsF&4z=}PrtybsUb{SAt>ZY23$epQ2=?>FjRa=S;_*U>eAMtQ{NY6&{f;++kfoa8
z@aVreyhcZ%uFHW2C4CI@6eS6QBCEklm(T*PG_Uq&OOg)No#M+nP#^%_a`hJ%XqWI5
z?2S;lAOm{z@V1k>mH?bE$risXvy7h=)H(FRj0wrezDTNT;Rl8rzlE;^t>RtY?N``J
zSWsixFHM~@{1AWVxnZ5;25!9v%V}`ig{nVJ@+)xjgJqD;#Xh!eJfue3#L<lt4P6y4
z3T)v6L6Qhv$a5Mb@klV5d5{|gG7q)o#qdFZ(ofZ@i*$&iQ}~r@887;n-N8`e%?E0J
zQ+N1$8PH{qzGtxw{AgO-%F4!t4{WdgF=WqULQ(ObVhdP>(9_3-OMI94VBu2F<s=za
z^i{7jfhSS~MK2O>6~5pDip5!X;_xmsbLQMpqod+Tu(h_3i;f>y^*r0se{dq95qHj7
zcS%%UH+nQbk{|r(Rj5y;d61}q^!TKUG#Y8Oxc=d&0Q3xFMdh2kDCdUBr3gb=#3ro8
zI&wx3!gB(?&9exgpoife*~aqd+z00CwH-p>sARKud#@1sSmN5Pa#;}}S}rcu6cGp+
zJW*=dAcA^sSxU5Z5|EyIiICGzF*s}=&sca>9EqG08#-=JL_u5gmN(iY;EbnfpR9)@
z+WT`YT#88*MJ1~q3nfXz$+L|=M69LJ)n$q!%@hSOfi))WC=1<z4TEoJWzn?`c4K`z
zDym&$F*2r6fCIJjdn`Z8q3o*o)9rQY=t7o<Sho@Z9BwDL{Hjqvc^V-G(bAg8YuP$~
zW{e1HCM#_hDwNRa1gW8US1lwlHpAHalmfh!eoq!_lu?Q1pwRR+ZRG!{gtLKP9iDy<
zb+}neL|rk1&QC0K&}v3;dO)8hxVi35pDG}un<=>;Qz~_k`DtCb;%_>Tc}(HfeFF-*
z8fTukzd{Gi?o0O9;WB^>wr$QvMm6*%r)Q#rqJ!8EIh3c^VUR|4+x(lYh89kJ`x+;t
zjg-npqS-C}{Z|dIoIVRvkt-XmYSTGQ#JTJoEYxZYc0-0gA042goz4B@`*qck)aD-f
z>$^>Xcg#$X&76uRuQdlVKcS#1cg1(&>SjP0a-rN^Q$v;cCv!s`RS=6vKwrm}86+uA
za$B5JL-)H)TVhS+kwxYKzJ;si5c>QMoliOi^);$@`1nhp1o7Hcrf25B(%YF`Wvq&L
zPdv1YmEc2rgwpjo?wJFuDO@-^Peg7KK3wDPXp#NFj@iqq=Fn{PhSSki8PObxHV_mF
z!@u{c#yRGh!BXNmR{9b}#87`HdWN)x$tE%iFSD3I?7fKgjRiUMWvpa~{}>zWcwRcL
zX=e%&@_L6RwPet#`4JE0Vjd8hx!InVWCDAx9M~TrCW-ExnOjQRB><-J0$wm`43M0z
zHpM84sy3wx$~}a@D(^+uF|sjymv|iZ<R4FZrLyIYZ3#n&%_RZdyGBrT>rMW#R&I3Q
z`hJN0D*}ZNqOgb`0G#hc{A!(95mANccKVtq)Djdcy6pfi3)pTjP0=E9g7<o8wkW*G
z<Ss}_!@xP&PdnXs8AsXgWjRwt!9(iQV$91u5UjP&y@r1RUwp7m^|>etCf2hvh0TT#
zt<ZIX?t1|iRP1=*JXI9Tnv1u#Rt&(Bqoj5A{v;N+(?a+<D+0;_vL~Z;3_we!vn@Aj
z5xYP5Vz*0y2($<7IhJ)_A12H!*TcLwF!_$?F7h=I5L|qUm5l2_@4%+H{vKMW5fDD)
zZ7Tv6<;Qn>S?R$=j`p)Eo(%BHs6yz2u?Tz#)h(-gs|yYDtDQX-%n-*|a-h>v1nNz*
zgL-v!;ppwJql)9KkiQ4Z7jYMX7f+?6nQ<Ms^Ek3x*@7LU{8J94rHX({LUUY?wGQ;f
zWUOxna>Ce|$0Y-QMBso|>7CzW+Hfp)kFuvFH)z)HANYAf6ncfaD3Zb2z#Lu5L}$ta
znw+(4sl%cWuD;55SWz3cmy<m1X!3$F*1azwPz=7Bn<+i$(SrX00096043~F2)PEeu
z?UixIoq4!B+^{n4Z0;42ktif7S(S#7(oh*KWtAi;DJmivX;T`%MA?!OX`qZmibDC_
zzn{nV@%er}kI&=%d_7;s0&R(oR0aI|V6W=Pp<pudT5o@f8A2Du$=iyPV6}#3I4z`(
zy;C1frn#CywbwCS>>CMhBex24epSZ-)x4e0h-L`6I@>YWL59~^na3acHE?L`>b0Ja
zT#%0ZDQ$b8h_&nv`ou3yv;=7$Gp^=>@IyIoYpD`U0-oRYPNQP&$XK&s9vALA{>%{a
zl@b0gG4~FOhDZD5uDGOdaf4n{)tIY-=+P&Xg^e`uk~*yB4{+gQ(b*n!Q5DK3AG@93
zNyqJHrQL0Zx!^Shlr1h*!=ZD<rj-mW$ctZday-R_S|{PdnMV|K7dyoFb!*{t+#%EM
zGA>kAa@YpF>X6};rub)QBfG}BM&dOW+t{{=I|Vgy>P6cwqO%UnF4b39N|}Kg5V_1z
zk&4Kv+e7(tI*3aWsd(sShFeun%+t!K@ObPL99YVL5p9;(aMlc(-Al4>JJX<@{8hon
zn+c7HPyel(Hp9=+*RExsX{f7F<vC0+LFSBydIy>F|KoI#9Y;r_Tdw@AcouBl`-)n;
zF~=_YoJf(P76_a@UuEW4NGX5e?dflUZXb!;QP;H4Q05taDVPn5jM}-hAq#xjl{uVm
zrHzcZg#UWW*{}+{?Q%HL5?U+sKNvpI#!vb<A>acWjthKUHq)%2v*#6YoTr0rjeWn^
z6KotXj87*%w}O|CQGP|G4t`!-f9Gu<8&7uJDVmD3hMeWAMjn}gh`_ZEo|Uk%c-4rY
zi;4{*4PxFM3S+={T=K}m<!qb`z7#%RYlH9M-!GpkW`JhZR1?&}f{RZ>%S50p9@zgq
z@ccCcwG9nEPfb_|OpSXo{o57=#^DytV+<I~t@i8Q#>5qxsh-qfJG5+A$@_1d0de!q
zkv69osL1j%T`$Cg#HsOF+a3m%mCY!I=jq^8;-kk!5j^b3RZ3r8$$&!Qza!VOv=Kqt
zaQWMF9<=9=hU7#s&>d*2eKTGQ^qDM)ZDN4byN?_rH3pVa^1j6e(_y=6EH+dF=m~bZ
zUU)+XN7)sB`W<LcdTs7js|Qq%ZAzK6&_UmNb%7){6%o(tMei5_YP~n()>UYuAn*F@
zJ0lHL$+;3AF@e;{S@#GvZNw>T5*T4qaL?&S$N?o_adYeUx_w&sCDmWL+EEpQ&$FU)
z{_>C-;?JUV(Ge_Z?RfsEGNxH6GqMkOh<&_HOv!+b{x6$S_fIQAv$c1`Gm?k8^^uN?
z6KR-|P_nW<MMi<_{m&kXJbaBmW+VEViuaw%KipYIg1evn@b@Y^WSAshI%Gh_uj;h1
z>wXHjp0QSM*2NC)O04Ap3Ys`P&5;{TkjIvoebdU_ws4K1Xsmmqj+Gxus3$szD2xuu
zt6y)6hbQeC-<49(xyNdeod*$9URnp%joDz)ih*o;rWz`|lg=%lARv0a?V4na4YCcd
z`G}{fg7~AnO7so^WgdEljWgB=+^6#N+c_2N+0fpWeVzc{YZbSSCRk%tZ){2DBV|ao
z-gq8ZKtNXLhev|q)>vwgGqZ6{3Eq;~cfUL#fXz!&=}WhQc)>0;5f3FSHf{fJY>t4>
zii;d?C|kiz+hwBht|BBODo?~NBVy^Up6Z#)mhg^}(!OP>2vswQbDg({plQ<T*&ItK
zt~wQ*+(yQNz2_WG7|SE(&1%uYIty6!4@J+%lkv{ndvV+&dH80y?`~dWfr~+XQ#Tir
zp{)48?naOTI2{+A|4y0XbGSzjG|70eep~M@5(zEIQ(DPc=4eXUx0fSF1|v>-Xz3dg
zu2Q!9G+LOWi(V8?Bav}mOgZyyDH$T`{BkKD%}|^$$3AaB#)fhs>emcK*lYfK@jBfM
zg~#G{JNT2KNZcp9CP@h=ZB)4a_GXw`^QYlXE*WQh3!_+R%5cd!Hz7C2#m*_E16L-<
zAPRXbce<p4s^_o9gKD_w87;D{^;3lYn-{6Y4XSWU8T$O}AQy*|GSnWtQpDtHw*;;L
z1$_s?#_q1*qA@*q!RlZooPIZwRN<tKpWAd5AG5jmXgf{y6jH`m`q-Y^xf=L>>Ox?+
zB>#J^)3Db~Wq1|0{(B`r#dwEplFttg?yaUjmEEm^H~TsMEACTqepZ30GQh#H#KT(3
z?y4B-I>a`OrJ?@%E0=&z9CS<veEnvkhI^gI{qlKqSRC3&YZ>Oi;&tu$5f%l~rH+r2
zB()&&vj2tRJO}CBJ9=QK4nK0okE5@(Q2e-Iq(_sB(}^j)gNroaU^kXJby*w2hZFzS
zx^vO;p=4iHuqHNSwB$EL>)@6|4Q<&mE|TgG&HFE*qSteqz<FB+LVd$G&b4y^Suttj
zPgFQPtMD%oVq#nF^Eis08FFOu2MZEt2(2EBdHIkDd$*sntr=$cWPjzL4~>p*7pG1o
zM6ghCZa79j+#E$L)&84L=$N+Io%C0RjZhU=3Fl;UToz}`{|wf`l=O;VyBs!x)~O1O
zsal}<4*iU*fHp>s_%&!t>*A!oMtkQS3#28jk!s4;#>ZD7LV3Zu$U1f9z|M7+_*C?o
z-Ne+vnHDpfwllgQ{`7S0l(T|{Th-sR>pBSi)feb}O&61r)N_aHtZ;9UlVAda0U@*F
znW5Rbc%keRSHYjh1rc%jDku0n-|g+F;jasq9n+~=);2Kdxo<rBg@KFr2HMJhvB3%|
zNDlj91BDL@-#*r3qF%I?oVbyV6X~s2`wMJw*3e|?h947&nN62mZ?F*DVJ`g7*$&$U
zQmBifm|z?ob60-LL|E>E>ct=J@T0$qyETFd*2I!5&Ibmz&dhq}hVkG!9)0hL7Zdq1
z4AsAlIuQDXvq3#POx-t6*g|DOEL3W+;EFaTW=6^vs{{AlrOz@u83>L!{^MPg7J@lW
zm%0HAS2nVjZf9WLPe&__OGiR<l26_$;4$@g_Dz1?7bF{$?U<oLprPQ#sZfB~)8JUP
zT?do1ElT%NH1XENpn|j>h?_Nv?(5b@a^pgc+g9pG-?lWrdNnX<+~BRp)yBUPTYI+!
zYWO~6aXi2YX!6N8lyz7O8p6rmV<IZ(r)=fSumD>7%`8R>9r6>Zjq(OcNV6kpToMNU
zRoEnUkmwlGFj{DvM8;FYnSik}9(H+_{|fV?VMycYhlOMkiem3QrMvO4YD=%_-V0Q?
z>zm56yX4W;IUFYN-VW6hfgZQoHE~68u7}-7#Aw*%7yCEaVQxfURW(`zTny&%eh_fx
z`9xCicUug;?(xZ@s-t+`#O8$)0W)0_i4NOrvE_iW$iEM2Sd+4vu`5juJ6b5I2gYr1
z_fGqcGq+SRMpPU<*DH(2x=S^l5jNPebmKzWMHQr$bf*RFl0}*oDelIIHC7+kdAghL
zfkyj&q_6arh3S3oD~C2&V@`;wo?ESi;&UN|TO(w#c{+YN@v9Y7M`=o*zA0jrmyHGG
zku3gmimGznWQDaNuY-Cm6mjWN+RE6)ayXOJ{CeG}C44{b^Etrh;f#w$hr_fSifUAT
zT1Q*LFl{d9v@#hnBBFhfn+b5c-+tI()&eb7J$VmGN%-%|t4f1!1iW3SU)`Q$fq(l`
zGY_sJVIr>JNyPyoq)qIf*(qCKr=e%Z1~n1{9Fmokbmj3YS^CDCQgbw4R;};*sQ`xD
z1InXM{Phjwf$xsySQEEq#m0UGOupEEZgHss>i$O9z4~m1>Mi39dxsRD;#ALwI6^`|
zx$%705i<<vNR(d|CV_0emTI_-jHRcJ?q0so3>jr#X)z`wFm_D`p4zI2Th(ii=k{_@
zKT0=Ciy<M3QXczkw-WkmT-7Kixsb?MX>zua1h>FT`^K}B@j>pYmNlPy8|TOBeay+Y
z(RWRL@qa29ei-#9T#kz)Mrz9s-6CU=iEzg!VKpqgsl_sV%fb5SuYy0E6p_%>b>y`-
z1slblnvkw>@I1#&KXOD7O~+)cgzl(gv))eW!owUGE5~eoS)c^5+m@f@bv02LrDS$&
z6QAew^ye*Gm2uy~8h2Jw(J!JFvdNc&H8IDF&0SP56g|^OpwggI@ik%2g9B@x<lU?0
zs<`ImaDM$b4VwM-KLxxwn6F&3z1Un0=YlUbJ*}goQrqFJRVW8b^H{~Fohh(sviLWe
zuLb?KYU!v%4xZ8OHDqs6N7K#+R&EK}$l2WXB)F7=m%l@tPv&SKllo%&;5r?+Yg$LW
z;OEg&jXz5%U7BdHtn>4?V}KHC{mRvli!PDJ8RjRbSmd2q{7RXL_2KV@Hyz>UOJT9_
zbxRt2laAX+j52XfB5Y^e7#DQLQ`vKaG#oV;*kE~+1!n!LMI{@|0Hv9g5m|K5G6>%G
z;cOh8-8S`T%nZ*y?AYeHSPN%~_QXPYT{vD|^49u@Im92*9heh*em&S&Q+h!cOYN1<
zvh*zw-5h=;J4YKGcRx2I%jtpZDI%oSX94Mh@$%BvI&ev8+n%{r4_AwhZ>68N1ohUk
z+1hp;_?erqV-D+~Wcvx?vk)un8uZa?UCV%@g^J7mgL;^M|4d8R$eItPB3sY53^-lb
zQTN_k4}>M%J460iW50b%QK&uN*ITHyzovC@-f?%O)Jq$zkB@f^Jk7*L?YYT>t-8p5
zzC^S)gU^lFk-pFEOk66L_^+Xg4G-TSa`7@d+^<|h`TL8Bd9!b7H(Ob7OmKDe`)h~g
zYPkXq|Cl(o=1*(ob0#X^*_>pa<-wz4sC{&piExeT$?QA^5)SSR_(I@&c<R}mAFG+5
z+l8!NwMGYOlN?^RGhp1CyYB(NR}8;<=y63t8`t!G`-OJ^FFk8$Eiz0j>wbiz*XUqL
zBszS}05aG3ZI?L7z$f{ZH@}wBu)V&vc~=3jXu;CvuL2CP>Jr{}eAPtGF9#8cLSX3)
z!~5&j>OgZ)U7odE9Ry|3ZpZULX@PdpwGwS8%Dm~|yjMlh*3e<CW5AB4dpz?|Ehs9E
zSC5`i2CvXPsctjy^D3olmyQ;8=f4eTPf~<}-MS}{4*a~Z;K{Z4(Q#1y_EMR05{Nve
zdN>J)$S||nmP&&Ky+8dTK>_AfmUO~H9)xzzuV4O%iV)<N-6<u)s%DD*)0u~af#Lwh
zxF(MLxPE><k$}rhL0<JQ?O@`s-72zG10mCAN<}Dg5SdAt$mHj8rm|<4=5GpiZAf;X
zJ1YZ?GFP(ZV_TFD-~LvRt%l4)3ePw0k;eHz_s>7fY!Ti&ZA{?%+q9JP<rU=%P=D;$
z-!<245VoZBfQzaMo-lqFJ>V?BvcV9k7)={=mU*qXB%q8}CgVmEf(xL%j=5Irlr=`)
zdKFCxC?TO)ruVMg0<`Z`5N1hP!*8{=)=f1<1S=hgPw`!V;TKWmv;$T+`yu}BlqVTA
zZNJ(JIu?L@(9-zSoF!y-Yi`WCNWzer(;~5WX)L^T%wcSgB@!0ANH&!s;aWYKQ+#C5
ze6qJNeZ~StmZEz+(iCvSBf755OBPDil85W#ERcFFWT^*R0d}7v{Y`htA?uRA;TJIr
z^jC^?rS!_9z~uaRPXGZ|j!_(qGtI&IdaB;9SRVSZVl$!&L<sl!M~-NjLw#aWlb9+G
z$`_YA*Sm<wIsCYA^*u9eZK)GiI4qAd8mS@0rSdqbXl+yHWrhXUxxD5~c}(if$P1oS
zfcA!ff<2R5bgb=M_~ec}z8=eB4knSXf!QuocZLgHlU>aT<ML>(biGoXP6qB;O$#sP
zLOx<}UAe6SVq?UeZxkw`fv0=q)Gxko>lJatF7Vg=r4~lFD&dXo#;>2Qb1>nq6z0M2
zEma@w`u(L<An396)cSA^^6y(*4Lwgng^<Ml*Q-@wy`8=70*9XqO*|2OD>5P~GgFLe
z)bOM*w~H#mfuND{z06@UPJ6D)$}m!gci#CmM|(_hL%eM?wM-Fy%V~8(cQnxcM#lBv
zLsLvj*DV%3qJ;WojV<3<RD_<~T-a1%iU%oDyuK)9G!>q!>HSAViqg@G#s#KWQuWPj
zC_)7Z+lm5Ny)-CP+UXs+Vv0(~z4Ptys*tSucl-z6uSY`ClS^-z;*I{S82yqO-j#WM
zmnzqSO*cC^wZjy3HH$>G-%zlAB$xI6f;P6C`za$Qz`=&BQTGq(8rT}$XSpd;2bonO
zC5kp2e5<q(l-RC`=KS7T{Uip)ZFGOe9OdA%O8es<o2fYYY&M#{n~7&uH$6Y|bHsY7
z%y%6+4H-*f!fpq%K#b2&8}{ZR$}wlxQ~tTBH)4hB?Ag#TO|yU7$;GGVgKdmlI>g`J
zX(&|C#gmAUit;csq&fcX^Y_=nl7`So^HyE-jfXB5moW$Ri~eDXiZ)^;6x{zt>p`zK
za&Z2!IV7iY#@pJpVQV}x<}sy*Tvy)&y(1RrsP?*i_OK3&{lX$Mz4cL1{;oUD*Al-1
z{xVk@GC*+cs82YmkI4Q3cV|;8nCQJH-f3XK;g+Pso-}<Ny)H>HQnbdyhprd=y_wjZ
zOKR*}r;h{09tDf%tkJoGuw(QE6E&1acccF5!8U$`PWotrq33a4&}Bhy=*rpj^?G<E
zJ$w9Btu6F_n|B<DWWi!tnNn<yF6zZjOlD`=q4wcY7ymOX6zTiz+>*;iUgQE&vM&!;
z-D0Z<msoJxl&F!koduDM!?HPiPfj@~VO*5X!oNYA-6c9qNEDb3t?~eBlrv^0SF_N1
z#`BRvwGOm<7?1a-0iJW8PhXK>!NB0dl~EgQoM#BHo2vm1D&?#5a`^Z9-F5frO**{q
zRDWF73kXb|9v72iLgDn?A42*xl$}tL-7yBdtB>6{yp@5?TgPTUt<=QTFv7?FaiCfG
ziiO{89o!pTHE<?|f~njQ`vU_&=d$VFYTva%PZSNDd!&N>K9nQ-n}9dVKiRX@wBh^D
zA$H7O30>-0g?1$XB|75eK07V+tlsOhOo)tXlA)B_exQiCL~3#k9pUzSC27J6D9SOI
zFy!amg#jZ+J$`?tjIthobRr_N{f_V!X`nIq!uO~gDpGG74Rq$nAwgGganorYyq&g4
z`t8-k{&#yFJ9T8>XErd<B+UbRHRtK=c6AtvobxHwU4Y(1(NNNUJD4w?j8e0uple^4
zW61?cEEK&roH}HSL`C0;_6K|}bcH3_?3F;Z%e>-iFI$+~DSQj^Rly$r!re(#;@GqB
zvf+{kHt6})?Q>><GOpi0P~B@M4u9p6wZ9oQaPGY;Ui3~8MmyXuE0M&pW8bxwml@V@
z-#^}ER!_!>Wc9EXU2!xE`ZVqQXN55N8~5YeNcbGES^vmhalEk@@<<N1!b^o}p>@*=
zka@ql{r0>#zAe~uFSgGTOOzvIwpuFSVWL-icclbcwkM|-dRt=SaoV_4wmb|5+<t_n
zN#a`#%WzGT1;}DAzweWi$F5$5*_-K7s3iZ)dGBHYXGU(-SUwRk)<wf&RSQ6Wzii8<
z7yMptZoxa`PQ<O+zem^omd1+X50y9`<|vJ*?Fc3kF;kULyKAj1zFX6ZcDyme(vG2z
zcSi{z{*k*>^id9CwamF7z90TeK4A0TdjkI1s(uQ4LV%z{$4l-XE;6@RRlgo2ASy&Z
zspt|B+Zn6Y7-n$s`n17bKM^9#Kl$c=J0*{o7wk1p@O^d9_hSRiW<<WvZ2R@-v;x0>
zx|<cXanSJABClgV5rVG;YMvF7uzg&0tUi{53#N@bG~N>79acrS)l7!LqR(6(T@Lj3
zpWYPjEDyUM#eY|bDd7+4uj1VgrudmdXzhI|k2ars?IFvRv2|s=?v^}LJgUE$&J9t(
zhZC6*7b{f2*m_!GI>Z#E0kPXNWl2zu_^4E@tp@77xC=jxO|dZBKZVdt!l4=C_^Im@
zBv&|Yl9e<?Vk0@EF`tZg)(;ZvmuetM+}mGp*aQLwN`%2<is;(R)j1|WMfTKW)cH;m
zluG{S-p<bvcJz&h#sgHijvdH*)@Xt^Rs}(OvXybWDpc)D2Mx;|2;&j0CRpfEEzwh>
zg2aHyq5hY2e8~w;%KK=7XAy&Ee5O>9_hvF!vQY~}fqfbq1WobIQ|@P|0|kMXA4>km
z=PUh!OyPSYQ+#S~9I&~hj(m|*y~6Kx@Ww4Bjk?VgVWZE?D@mGAfBJk(XM_QJ`X!#_
zQ&UK{4x19)s0fhUQav!mL_uTyW_1<^hmCwz+?1z5K=^|B^1m!h<gKsEzQ{pq?D?d=
zJ{lI9?E3cP4;%4OK@J=PF5Yiw@qSZ5$M%xflz~BAG-`#7Fq^p;j@Ao1bWjV8S=q{u
zAL>C+*^Og%&<xGIzPeB!ZIrL5(S9GRkH$`4<19CGT;7~$m8GSFlJp-1(If+ixXm=R
z>sWxWPCKe?SO-0)pIa0kGQe!fO_7IkmZ%wzU?dhXAij5T>7V}$Kq<>9^A)p#d5T&>
zqYo38r|Nc|Y%xIN1;4&#QERAG>x$f)V4@;C`c~rw1N4i2OHY-w!PCpn1wD4Lu=C02
zg^MNz_;H03v|QR2uB$%%d-jRXbB~}$GD-UAF-XeVAYq3aYSY(l8L`o);8`4&r-#m)
zA1{5FwnKZy;Rj0s*eH;oT}jx-&&Sb?)bFo&_`><b+pvj^OIpqDnM^iLEnV%e;to`l
z5O06<WFyFba7ywj6CA>b^wE4EAta(UnZ$;Fm(+F<2?j#XC~D5~xt$s1r)hJG1>wgh
z_SLM=Mzd4R%_S;}AZEDXMhAzVFE{?OJ2L5D8a{nEVzmg)GU!z0_aIeT)o|`>DrT}T
z4oJBz!lSs9qKiEYG*+E{Ht(u|1Zhfmfa@XzuVNCDr5V_Ly!7o?c{Ny<J)2kM@8fh;
z$!U$Q4rVz)!NCg32uUnn-Kw?-W|8|Y)>&yo#7j0p%9roIq!PI$6F^(4042&^3wpb@
zYTxbW&#Tua)j)o(WstpUUOLk8qL}>rc`X4uuL?^4i39wHH;(;srs4D7`5U@zGT8a-
z!-m&Zz}S(eHRn92cuN>@rrno9S@Vzw`!f&5XUAN-?rDJVvwXJPL;}4x^h|j!JiPNb
zWU29mKexT=HrYmE2qZWCTw7v?yX;SSEA`aST8YKft0E}L|FI{X|Bg13K9ViRRN%7m
z$g!zZVR*h-VHLaH7TmFWg5O1y@sgTV)7~zG22<6Jm?t(c+H~-<XPzQ-?xu(R2^WIR
z9Lpe$Y6Hfs($e=U$>0*h7oGGH!l9#|dyXeq!@uH&?l(gcgr{fDz275*8jegS<+Bxf
zX3x#~GZgUSrur+NH$vEEa&)lN*$N5kRvDDq$b*y~`RDpZVF>!}YCTtJiKnY}$f<54
zg6A~p`kE$!>F)zw3pFgU|9s$dC7;WpTpjXPK~Yp*5S+h|Zh=_qLy5sg1PqF-KS2}`
z!|Ew}F%@A8%%!fJRf?8FSNNj1{W{`kjjG!8c&|A!mj?u^-jT%?$K{7CLnTl_U!7L-
z+YD;gq`b}<$l}ck#uZAfBu=FyIvd2A!C$c9X-bC-(k=$xE8{Kz%R+3%T)+&zJ4^)^
z6v=?1S-X)~FOAhtQ(Z(-_#Eht?ujgv!QC*o=HZ>Pn07O-dZ@~U)yj`z9<4Ia`|tVC
zRT=>aZP$L~lyhLlzAGB9C5uIegMY47A|jHg6VvL#!S9E@N~#xR5y34Rk5QM0MtX1l
zl_67zI?s5<*~_7EpJ3HEM*&}?oVRW~Zi?Kdd4)nT0%p=;&HDpLpwEjmM_QXAV`k(@
zWjq1WLaEX_a><}7DsEwnnV>=G=-o(ZA`U+4m#81(_q>yAH=(O0&>25RmAFpCf{MBK
zg1*XlxA;O~$|e&`uGZDOA0&^E&1ACiYZXZSeDGkcsR?Eo_pG~g72ucF+PgSh4L3K4
zm$1Z4@XbEz=>rK8n0I>?&r<ka698h>Cu5`<noYLNl5n&3u}0H?2F%j6v)?rsgJ)Ax
z86%>Il(oHzBOz2I&PVs=)EL8IpG(d^x)Pin&EnPs(Li&(-}bNC7&kwM%a-uZ=Q?dF
zQM;LrJ%%E`O!@mXSBk11FHk}B`$?90ycV`c=bP>sFosZ3;Kwv!HSD=9x_!raZB!)6
zG*abFKx<B2ZWBvEz7O&8*{3>K9uj-~sHX`$0uQfk71cmr#L8UucLpAN{=7^mFu|sM
z87IWAXku@<Qsw}Kh4DwUVrdCeke@B|5xYjk{{R30|NjivXFQf~8wYSZB-wk9+a9;Q
zub-`~f5@X$q%x99DGDVcX_pk05=ts7GvU6-ic*LqD~aq`3GsM)zBu>i_<avkwo5V9
zc1jpYc$@YzMjKS6|2C*!l13Wc;;oh-WyI(jDKiS_AW>vU-z``M&ogNJI_Fg|AK7l2
zL(@T~zecaOrz~FWp!3zaq>8zQ5U$B6UGNmmhm$sP2#Dk=v^=4Py#w|8{C4QU_j;i1
z9!+^1@uBn8HBrY<m)$8wJAJrbnefZxqaa3r;uiZ^9Z%z9xEi(^z=QQvWb8Br50y=u
zO3gIDbbBAyt38Hj<F9bMSfPMts|lt<0U9Xin>zmStPwhry4jXaD&kv&<7aah4LGsr
z9{u&y7y<p3PnLw0z^|9}@crES{KE!HBA-m~K<Uly<}@YnJhm?!vQx(^g{NMJmrQYs
zN3EWIgED@Mr!v>Mso~lY!XTHAfDmf=-`OeSqwaOXK4Dcb-dUS}vk7=$akqrJPZ{O=
zt+xz3P)6`~m(mTfKyGS4kiDBSrk$`ea#9g$Lp#3+j{#B#ea;>dRYvY?wQWDQ0_1<+
z)k`!rN4?Xni~6sWz@2?(q*quT?SYSOe~K_iVzuMu`x;8<KJ<8S6Q3*^oWGQcWSPU8
z_0ElobBd@ltMRSpl*YEDjQ5ch=CCz5tU(qkV8}0@7N#zNzS!RM-b!<n>SQh4YNEhL
zhUG(Yum}jXN5`sOn1lU^+tci3c|@=?d}IDAfDHZB-C~!_u|+jm^ht#r*kbQ)ZfWI(
z-@_9l#-8R_vZN7;8M08-s$FJe;zo4IIfY0`b65<iHC~LBfp2Fr^KQx}=!&m>*X;)G
zt1Ow99gxQ4uHRv^|5%Z)X8HNn6(Ax%s&u2h6y_B^9b&q`j7~NB;;Y6$?FGC3h@%qV
z77q&Wf5iab=E5ycn+a5@TAr`*7Q?yEvkY9ZbZGjWM|~hlpng%ju_{mm<u`UtH{|~#
zB6A;0+Xt9o?S<_rt|TEWH9i!}b66(A-3~RKEiuKHdyiq#F97cEMUo*Ee~G3h&Y4F{
zrkLUkee}VeA8Ai1Pm=~03FnS(-YPc}bo@Ae==@h+u&b(kpk^)-&vwQ>PR=q0pT|>)
zqgQ$0us~4{9$h3psZ2kq{AYx#4+evH_j4mxaa(6W>R-ZHF;nmA|BT>p(Cph)Pc9hR
zzGR8bTOwR#R6g4m8)9B~S61K%CpwDH#>8{25VsPN6Ql(Vkui~L>gv7;bdU6R=obGY
z?1DmnD@PijXwLb2FC7P(KBO-{xV1(&*J#Y18qvq|+8oxk@9g-)AdtrQi4M6DFCL4y
z>%-fhYbJk%4MU#kUo(Eu!^80AYk{|V@S93Lv(b(XY0vU=Qq>p{Se{i73O&>tDi3Xc
z!wLoi3yr{VCUEuCX4_ThBBQamhxZUGPHFY8$@DWrQN^SEj)^V|626*m1}k{03;!3q
zV*|FHw@eAG)`3@Q{mnh5tVqAZr5rQPiaw*kytS=5a0wM)3h-eCk@HA!;Wj(`?NWrD
zzG&lfEbpzKIjp!Am(W_Zn*$NMthFy3(gt@-aKe}b8+L?@glbrDqW1P`$5$q8w5D+8
zv=p&n)M&0aP?igJhiS=C=~{RbQhLhz2s^s|I<7*W8wsAqMz5^3(DIzl-_dC!1d`9B
z^X=h5R>U^Ljwvd(Oy2O*aN&R)U9s7T6kdD|El<;WKt;rf*yz*YoA5a$;pEB~AIvo4
zSm8#+MA`P6t4-_gb$`{`)=dCg2b|xZ;ilqsI{n0;6c-M$`(;dY3PMBs+^M)uO>l(&
zOg=xu1-E^9UBMy3V0ORzKZZ<A<R^OBiFa^gAo|y^vAQVe8pFk_PHVzcYUHl}2OcQX
zH)}^Si{t3$6Sp6DYT|8}$W7`1FSg{x<Vq|{AU!@*F56ZUO!dxJ2v&ZiG!8Vj#!KPT
z{q{a4Xksu%j^b!10G2vxNX#Q?OwUTKE?a9t7kX!x(gdMRk=VGUNd{rZ6ctx?YNBBO
z=9?8f!jPZ5JhPo%4vFFqIFh0?amD)y$J<m9SZA=!J6p?Rb@TcAA!V8fUMTWfH5Wt2
z_~=!QTNG@2YWdHLi3({A{o00AakvVcO%xwj0K@VXEk$1{w&mX?{<TSBKf~E3XB#Ex
zFeQ1X^ivV!V#n^?CxueS604CkWl;XBJ-_dm7EC^QZF|-u4JI=M>Zb)2thtL;ElX;{
zY_X3PIVgh{dw1TbHB!T|zNup;Mzz8AG27O6QWo~{Cojq!RL97kwlA(9bYKzno8Dnb
z4tjmZGz?B@K;_;)f$gojc=^#xJ%E`4+isKa=jxiMp^TdtP3ghf>RY)Ty8^cS<)MEX
zrwQ%mORhI$4RBnv{P9OdMKnJ+n)mOuCLRay*IWoP#CJ_I56=lj#H(~23V)}GdrEOc
zN4*j56yN*bV5JhOr$cYoywt?u@og$aiY8z-_T(`>ri{t?%e$%qHPJD(U7YulDV|oP
zn(t>+0n$XDD@|xXVf)XuZ$oAXZ>>7sAE*K;NxfCN$Lh%Be-vXY08CzU+q*eS1u6Be
z3iPaM7!(s`c6kBpr^Ro(QJ{hyP7PNxB~@S?IlRY6(;WA?8s45yP(h=(&EXwOig=<p
z|6<<*bC{nxky59wf~75u_u{iDC=(IL)mSixSxuMBNcwu7StgrVKo0uq{vFDi7HE<k
zl-3zlf_jEzWP7VL#+Lm?gj_7JCUL;v2#XS4OGKW3F(3iv1Er6@?X<w{tG+^Ubc*OY
zb|Ovqe<CP)q?Y32U;#m**G9FE0>(c{?Fv!?Nb9!c)KIbj>sn08*(dTKBdV=d9eI#C
z+P7l2z90LAkF}}Za)@<aX7K*J372}U+j{cN5wAMH;?66Jc0Kmy{N)X(D+)^7;A4(U
z22bXOYo!rnI+=qFjJU@3I`%pHdd{{VaA-X(h0G4|S6}-75$)upw_6VIkW=tQ#BmAm
zELBBm+5aJkg1Q<d2VgXr$#jZc47`t1geDZ{h?^ZvvtL>XaA~lAX{#27euF?z*1ZX$
zRQKBCKQ;onzv7jG?hC?+z9`B@Y=r1iv<mICFoTwATg;7Ae%J<#c6gutPW*U$U1luO
z6!BGAL7(e+VW&tY)t&rC#NF8IzqP^yX;N+h?}d2aUf$RuTQNY`4i_V5)fiF8Pg6<c
z!sc>y-yZI7gha^gdok9==$Wl|WI4!*>qT*b%9ewKpIE9K#|<Nt`#u@__;({JDi5}G
z$PN)+CJ!Baz8S*l_`@a5Ha5s#`*Jb;+AtA(TxvW)&k)%iFWfYzH{itm;+g9KqeTD5
zkMp6|4N&}Nfh*O41<a07`+3&Sn@IS+6`Ixu13x*dJ<J5rCnia$Y%|2kgntEYF8U}~
zivLqx$_VJpORf#h5|bVdgFNMWco{2bYgWmCvFP}OijH~Wwd|&7V~QTyOV|>6=jf4E
zKBk-9|BJ|PZ(1z7t&2uW`>&GQ=^+-%^Fx4ckvOqAkqq0Y3mLWM?cD?G4tUFVGev)i
z7_a1<42;!5x>ouI(?mL)e7UxvBYuTY)pJjXr(gGK(hZ%?06Gw2D~Da@SBbB-2Y=K?
zYvb2&eq^E#9cIsm|0$@VLras<4{26ycuS<jR)^C;;d6l@9X|sc!j$$rx}k*vi}5q;
zMRd@*&E4E{h7nt8A6&MV)I!C_-$Ehm^k55h>1khO!dyQ!TfKk^4usF{Izx}X=2qqW
zJ1ofTsmt)PrJ^dO^T(;p4CtQXa|m@{MaG$%?91OYadcc@d;9wR=<SV^_LE|Ve803T
z<(wuAt;UbmBru}oU-Ped0S<(C<Qa3xYhvy|Z|2l-CNS$XR@Q5C;^22$=+Ao^XlAD8
zw2x#)+-m*t-KJa!?$2M;SyV^ayXq<4EEXKjEsCEE<;JheirvLt>X?XGTWX%$fP^3V
zV>!({2%IdIBih&fZg9%h(1#5QDu-v@8u4L3da0_#RSn-GJ}2(|!w#vq45qLKek^yM
z7`-{DipY}t*W!vekS}zZZ}zw#?3lA-XQNahAHDIR$bC+X-)+6T-$EFF2|<zTnyRRg
z4YSzm!G--phlfXWL}A@jcXiji3P=w(p|sQ7@N28M=j|wt{&#P--fmVw7q6#}P6-d<
z{0vq6u1Mk|o$Be&uT@~ZU#B;ogAYMoJ6pMyrBIQi*dgAa0;8~ygTK%4LwygGmEB4P
zo;pq3Z8IwH8!ptU<P^kCzqWhF9?3$<ZX@~5L={(VT@e3KA%tM_4V;&F<k98m)b5_A
ziuUg6HwqU;*1c~+>qw$N!k#Nm)=>=~U+`{hIVlFllD%a^ii$Y+h5tH4)#3gxsV+WR
z0_=1@j!HKwL0{$+_g@JOa3!xWOSnscT_&~j`e79m4k-JyujkLba@zLMFlk(Vs$O%4
zUk&ogucGv(G;!^y+uCxL42;<2qUwv(;d|oBgNYARxIX;(cWOWurn}NFc1vl(@9rh`
z!VWD=hVDInR!SZ$EY<O=pEbd=$L{b^Ivwzy_<AqIhXVP07R~%HDtLD4=zMk7g_^%~
z#MMU%7!C^^5m=_8n7SocxJD0W%gk@Zd{#sSzuEgmcP+#uIArX1HGpW<>Q&x<O6xxD
z<2Q}fTCcBP?8$$I(0pG%t;4PYZarzm+u>R`n7gFgS!N8afbr(Nzg2MjS+t6sz81Q}
zVl6mMuY22Pn2YI^Dqe5yllomqMeU~$`XQZl&zG}3U)iDt9h-hJ_gPJ}FenFg1g+O+
zzxaBibTw#*{G9slhXz>67z_;8bM4&a!(}cNYS?<iBQiZw4TApL;zhrjgWv6MGF_4y
zOcL^y=}Bd{O6*c)4zR!}qdm>hDr&IPbCB$+Q-A|AV+d=f1*kahP<c)j9J&o=zR%^5
zRKP6DD`knm`Z*@a`zqMh^F2)eiZr5mg&Ub|Es;ELf6d{XGRhwGQi3;%V@&dQ+f@fk
z6js*Qry44uGweoGy!*NXXHQ9f(ze98w=7>GTNDr>*r-}3&Vx~2fAv*5OJuucjlJ7K
z!C3H%qMg(1(Dk9?eqCk(Cxcum>tZ>S3+7z0?`Ob#tb@}#FAJEwwB1TCB8!buyAyN8
z7l}m8=PzF@nd5)rxiT_Q(l{5eZTdswDDjN0I>q&hIrQY!52*D@!rO%{&`IS3@wzNz
zo=?;q6#DOStes*Q^Z-^sslTyWNp5YV<-a>Blkx;u)mm}CGB1qZN_SJgl@8GSQaR~{
zsep97oiT@rASls3mIBs4X|8UI4~8NL^l7y1epbkb+CXWV<E}{>qrK=__+2x+{poFy
zzl#S8fdi-d4QFUH10i%)nnFiCRI*#23tmzCDuR|~XdDeL{n;ZXIC<G*)**odZ>n;I
z9*WP>%D8TBu@y1_2j!cUDI*(9ioG~@H_gy&L~UlvoQ=UELawTPVaA0bFF!8n85-H#
zBi?hx2%Q!DQty}<QNAN9BRFh|wxg<X%keft%<@KM$;Hqib}REeL!Swn%9D6SZE-^!
z%zVw!m$X9c{IP7jDm6yqbr(L_9Ap5VFQb31<t!4rOfPocYZ;;CT1X{NywOKZtH}LI
z{36~B_8mz$^Ml4T6gab0QXgF-Rt;*Fb3}{9<<rY%-)XINJ8z|()r0AU8{`?6X@a~?
z&J7BGqg9&M&*cp1B3N4bBhSY%B4Och)J>H>nxC3ji=mS)0(?tv^o$J?k5h;`{-ADJ
zp5sItSA`C0efN88z5bneGq^8hWVw@;{czg~le!Ly+K)Mh<_!>))G)tuUF|eUy~yE-
z3~jWy4U#s;dWfkS9}jN&R+{`@OW6!@Z799td2UT~5j#|)OtuWYqkY#OyT^P_3vu@Q
z?qAROL{uF9`f|5ZBdy;th547L7C4W~sNc?NC0LZjm452h(!%~~9dt{h!r|5v?p&P~
zLb_NwyyzN9+jM5JmQ`^*@19r~?;LweM4wv8N=YlHQA8~Y7T5jz`+xlxDX#T||NMuG
zPr8a|va-JvIm|VYqu*=SyZsG8{W7(UabF%y<m81kk4z2NWPH6=+(Qz+Wki~(>JwVw
zrZ>sw->KujtktNY>`LN{+-cF2rhByZn9Vj}OKQls`P9v|yPVh(<i>s^Gl5p-$Y;T<
zu7(?BE;{#0ONp6(+tds4w-VMNA1<@_sbb)|PpM~mF>zOK^S4J`7m3nLhamUIDmWlt
z<kQYpM3i6Q{70{rLOi%W=kf8UGMw(*yj;@zlIXZw(zHfNCkh(A_Wws!hOU3JPaM}v
zVpnQ+et%RJv2~3#wfKw@Mv^z5px!AUjQ#d@J$?Ox_?sA`)ca9!-TgjxAN&i5^QJ-C
zmA~@|d&6q(ECod{Tsl4Na;AW|K3c%|JgJcQm)r1eK3V}>Zj@*4Z3TqO$*_$jRwcx$
zbzxEFAO%Oc&fFdIeo5?o?le%i=@lU(;YD}fhJyWw$vdP_NGu4x-m`n@HQ^`AR8^5H
zk1r<qi+*xNge6DEo)A775fxF~GA1IAPn^!rPyer&F!jBezo1o3Tu93sWWOYbGuN*f
zSX7q~m9HL_MXl5j&Q;+j8P;TxWq)zhVP6^1m#JW9Hc?C5JG$_(^rS3kL1ve^P)^M3
z*b&#ap@HBpv1H(xlfl82{?;EmD+rpjD1X@Yw}e*gzwe7jWnii2%F9|-MRclP+k5|O
zGx1;Dd6Dh&(nv7WPj|>A3CAi1-ouYth_hc<gt$&g<95N@MK^^S!oquF%&yNLiQtP`
z(tHfk;QsXbZhF%j;?KbR2A1<}gwiutH;1cI@E>z?#r-;>WHkHu!M&e|&0E<DGsUHF
zTJRI4F|C2vVO3~HJKRaorxowv^Ol4zt-$9<?_1)psh#KB!Y<;F@#|9^7bU=Z{d5nX
z$2;Op&~Alky{|-eO3C|!uf?&cR^i+>!4HI3X2T}OwO(R<sV_ydVrW?{&$H%kC1Q*2
z_Z+x5K%5k)Y`U!`2Ces2`OMXA1YPK}u=T1-@Pv(Y|2`~=*Mh0PE<XH36dajOERY`}
z#2y{1swx)2zFnU^8DDl1o*q1G_c2V^Ww_|{(2Ibx$dcP&wTsBT<L)|t`zKN3aj?|f
zRT$ppj;aqYekC4HgddL97$@$uaqk+*7D9#&uh)@1eZ)o4g~lH4DMBb};(If*5X{75
z*Sg68qJ}7_G|HGE9?Nj>|MnGxz@5tXrDq0-ny(%ay8`D3!TyN-C*KR;i0@K<YtRre
z@=c}amhS@5W1!6%U?_l{e>C5ciNl0gOXGOe-QUD^A>o9@XZ+}p)X%8-{gW6o4cGGF
z{7YPC?wt3Q;fGPY%E-Iaal)DQsp3uJGSTB8*E0W*4>GIPGmoxM5uQ(anU-5uiLRdQ
zYhrSI(8($;oFAVdWcEZnj}fLvee;1I{&~EZWi|?XST#qa6ld7aFEOC2eYEG21uy8@
zyiVlTEf70J9gcSLFoXS1#f`u|9*it3-WJ>NhhW*Guj%Bs0aw>jqLgEK*86?I+USJ8
zM3pVoOk#}<*Yu4Q^mKU;(0sMQ$Zds)J*gN_`i%pF+xo&h=DD#T$P;(q$QrT9;MD5F
zja*RoE3$o0azn-@GGsNF9$7k3aQMWH7OT)ByVAI^(j?<KyPFX|N+UgTKJcQn>qyqA
zByMEN9}oQ<wZ6Z9(On}90(dPt{_9}ox_3vM8U74xfQ-S<oI}TjP~^L}_GBA3*w;2m
zdB(D1gU-d+A&MxfOAbbgP<Zh2soVkPW1A58pMnIZtOP8g)Bm?Miw8byD!Ve)U2Qjg
z-?^?t3YYx<dX{_f;-<#8N8jam!1kvsr!h_jE|LcxYk2aZO(l^nUz!gc=JHY1QF36v
zow@OI7C*LSRCi6g2w>FYqO?*r1ywBJSMII5CTLW~X~(*gpVg=D^ITKJ$`Z@TW8uQE
zm=Zjsy;l@lsEK-;qg5bswq^SA`u}hIsI`sGN&*xqp<UT(>If9(5qFQ51P=H6GZ#wX
za@MG0VWcJm53r4Lv`b?_MAIr@pA1yHYPV_5P~li*Tz11v4xYac)Mr!WAah|l!PIxX
zPa`kta(E~p)H)zLNrZxEqdAY~pL8HB{Ig1aLK(m9a~4{K6v5T{c$ucEhkX(v@xEdj
z$k(Oq-7Tk#EeW2M{JZp_nJ@6%_74>&BGUEbv{W%u?zcSWV1UPR|D1C3bg+kSEQQoo
zN8H9-H=hv$^z(gSi_O!AL`6+y-9}B&{}yyn;WfnJfO0{h5hG0aE9|;CwC?iL2e;If
z8(`?_z4py!W^l1TXKR;2Mbm&gWvN9U8txBGhTj5SO|#OA5?XkF*)ID2Rz0{2t{K;P
zTY%7M73>bw!i<UVt=+mh*lBe`Q~84>S~kQahlgpwG+J7>GIQPYGybX+25YqL)%e{2
zEwF8%>u3s5L)x+_r|`HnZnY0Y=hafNxKcy+k5E81$M%ms=WO70-sO}9D;0q@{&e;0
z^;CsPjaF4>gH!Y;8T5HIA>a{H|3X9neh|3DR%wF@Hti=<{b~rIyZBr_f(5NR0u^^0
zw?U3{-a?<73I=SJ|BkEo5TY9LDz<;DVbVEv=VhuQWUiPE|EgM~{kXi`#_wSbz7x;i
z1h>kgO#iQYIF*e&aqWS9XNDDu#y?lsGsz<I+m)|3Z*r4v{%`!OhAr`~>Tbb%8!0%Y
z#448C@skq<U(dKGS|X&I<*~E9DDGR$<@iqtl8=5zlo}nifa|AgD@CpXNS;Vy$}JTp
zy?LH94pf`t!N945HZQp`Zo+EE)geME>p$c9PtqI>Cx0Cf?`DS*+l;G0uqYWB$@j}T
z0qgymfYgnRjJPsaUM7++N_MUFIqR<xxS1conlt`~Fj>l5;LZ~zf69IIv}Ghf2)PtL
zv>GP9?Halj5hqGss(QY)L(B|xe{$d0y}C{NpAXrdXe~<GoQd;j++w=!BE{rt`yaHZ
zmuv<O|3pZdDY<F$1rsd1j2<iNo~OAq)%>KCijZ2WOeEQ1j8DzI&07RkXqi(b+kc)G
zA-AVCKTxL{gCkJm*1d9ik~YpEL3I)#triScN0W^(<8tfIeKuy&tNDHWl8y*jsC1XD
zcB2uJ*Xm2$m|4lIPeMBXQbovZCp>H3UNBtGJN6u*a(0rpaA@C@jR;vWzgOREvmutJ
z1#h}(ZzAQ%MWenD5i)-4naZsP1{h#-$UPUnnY0jBjI^o{A-%ahhWzvlaM!9hhPQ=_
z^is5N))5ya-+jrBI@PI<4WW0_rdzm4GK2rzu{)yVfn(k*PtWM%cH;(CYAp}xAA2At
zURjK!+T2o_RM&^L?y>i_1-zsT)m8mnhZuS2?5*k@BYH3q9Je-0;Uk9&p8h(VEKYt3
z9{j-bR1be5>nE$u@RJ7@+Qh?xB}i4T%YU4L^`PA<`9XNU0NFwQ*W2JFNrq`YCEP6a
zFeGm%x5ZwNtn2pBVWUcs7IQ0qPe|zD{JBiVU%Eo%YEj99L$9UC{Qo4L@G$BjuvB{C
zguE~*zAsFU>Lg9>ocZ?j#;h({!UEkoMMOv!3;zQ5pVA~b&6V#xri*=-7q7Poh?4*P
z40kTNAVW?im*1V4)J2XPgJzeo80jp3fPGF)mXx07Bnwt_v74)_nNd!h)Q#qtjP8^r
z?HGE4Hw)@Pru%@rgsud+%8+&CVU!%HJe-kw&{Pi!4STO7J4lkV4kwGvmF3Ae%JVSZ
zqk0f&`x8;CBSof9XEjN;%9GpA&QLA#^bj|xA?8{qMea|gFE2SpAvX`tmT@lYA-8?r
zN9KRh<f!d6bwdsXvgEAH8$VZljIIQoRvwimd5z*mpWRg;1BP`x*~;|M@%Pdd>S-DB
zQ5(;{K@mlgy36X&aYX~rZ|&Xso>i8Nm#K<=n4m~j_q`e#$S^=f;u8bkL|HQ8##52h
z?~0^af~qc*4Dni+-`G@0jtn>`#$6<@M4nF)=29;;#KcpLl;cTq<k1SgkR=BtGEzs|
zd*0p%cIxUc_}S!1YPx>msJjx$?-R8z{)Z6^rC#bP2FsH%H}jswnJbYY`gH}j&l$r%
zB1pWfS)L60(&HGtQHjhy(Ux^h+yp#H20Rl26mq3?B71+4B59yENfecsz~->MmEblC
z$@)F1`JRa)>D;)bRdcH;&Ip~+co#+?Z-<1rTz#xST8;-K>2;VwP&|s5x=bP4hNpG!
z&Qi$te{vzT-3&)3(^;z5$LGe~0-5C~WXs`;S9}}H(5NERIv+|QZ|wC+?T0*R=xgi8
zu1vtR?f$K&P82fb__dl&2RYJtgWBnx;RK}kDiTj{Q^*LGonPr4Wl5_9zwOH91b)5?
zKfSkFo>c9tG<;$sL!R5QWxn+XfrMp3tJ_PS?1}0&STU0(-%L0-sI3x^?fom7H6=&h
z9933XG?F6!4*&rF{}h;MI8+ZCha+1=%wiqP7-j||+l-m9%~MDVDItl<pOT7-78I4p
zQc5UVq(xcEl0-^8NJ=Qll2npPDJ0oS-g&>C59d19S?>G(9iCY#uTczOo_)}R&YimW
z;DaBT7o~+pJ@&56<3i9KI;&RviH_k<CQo0zL_yxoLglG0A*lO*7Noh-@rGg2_JX(S
zxG?U0Nz_dtY`>*E{Og_$9+|79`5&lZ*O`&uV>^ZLe6O7`Uqc5ErB0apG^(KD{j;g^
zEFo0=Q>-sJKtuh+lH$HdWpr3ueKfk=7Ouz%Mv{A|NT0j*u9!C&|2)~2C>3D~)_bz7
zTZL3?O^MoG<4?lR<;KedDz=cn*nkzjQX6enWdyjU6VWlG==G&S8xRlLSn`Oag=o1k
z5k?94(Qfv}`9(HhIOpV+g-V*(?dG%cYA69`HeZ(yYPE(nT1>(Bc@&f~)%LejBj7d5
z0dw<>*5G{ZNa$md21*<GZ+zOTgn_FE5(WmXAY1jU6xCcE^`Fy!wl*l?>Zx5j0>i8z
zaK!i8oGog|ye(TU+oXi?l<}~Al2*VF|J|-#sES8*$LHA%D&f2qL;k%~OHfSfJ2WDv
zihGN;?+l|8@XNC^Z))k5;F%g_eCv=3mWAF5dKW@KF&E~0wK4&Gi1Z%unWuu^I4_R%
zbrNvHIltZJD+Ew6$IkhCt}?d#JWeuNO+-B(@stA}`LK8Ix-~i*lriAH;k>N3L^Q3E
z`QUMg4}ptA!^>I9Xu?;CTYZp(VeNmk^tAb4U(59IkWt2y``(^PWRsEjx${4}IvyN%
zv2?xqmyD4*Y|6tQWVAZJVZOo+9%xN*pIAvMqdk+>8&$20ehbpW`_y>w+3noPI+`-N
z?cYl}azzD$nu21f%@z>9Z-MyR)ykMfof(TuRmI?Sr`rsVSwN=8Q6u9s%D8W)`GW5m
zHGI}?Fu23P0_G3B9`GL&oqy9)^PU^(*q0)&?J8#h>@9XPhHff&qC$D^g9Z&GwH~!y
z)y0MAJI!w9&sDIa?#;S_2@1NXNlSga#RdD8D}0u>Dt?K*JY{2{g^zd=c1a0b_|cG<
zRWhxL!hxBn#%OJ%{qi{170iWaSxHH|^3~Aqw&4XqFcl5_PrY*U;X?V{$=H!?>Zr=K
z^OK^{aA$UW{#kb}h&Rj<Z(3<!|9tO_GOuYk98~s#>nS>3xi0jN1_f6+@%xvY(ZQ~f
zb&DG}b75;2dAo|7Cf?t$bmq7l9b-2wN*jpcf*&a_TuMd@pZ{|d^C9b^ZS6C2&1^3C
z+h;~+C~4!|Is4_u+I3O9wI}p*I~Pm~-E|fcsmSr;OIxMs;f2S!ZUrO@=-$biS$>s@
z2e*G4c;d{!c(r8`4>wtW%x%sZ4K591R9vBNmVq*EcE*DH7T_9f?76LxhM8%vdm?j~
zxJo_Ti%8?ar16dAZJTs(REkovauEwd>YQ)Rrt#p;E6=4ku7iZCCGXmvve3gK`EDSY
z4-*8w+V(^`CS7Pu*lDAW+uL<Dw_V}G?a`MzdewCC<|DJAm<)Y1=2PXXcmlXll`$=O
zO&2ZOJ@}cO`e^0)v7n|y0JchU-Ph=P7#ta4nlhn}Z`@D33O;BF6aGP#yU*$2qrLgX
zmA~~d-@1b6%dmoaF)v?TaR#1$aN#5Ug+4B5`bq9>wSqZS1#z+K8Axff&(Dk1$GbWG
z<s%2I;aJ<>mq)KLa983)xv{c7hJR(3@1WU$%(3IES9CFuu4$opJDP><>_Ta3wGF%`
z*QR+*GBC?-&sL{qCNkzqt9)B+3!UO_o@d3G7=Ov@fz=cP3tv7;>+P_Gj%9x?ts7@x
zV#fC23Rwnf9Lek3wL%Cso*z38w~6k1ir+-Llpa=If5VF`5W*SW=BeQG418?6znb@p
zj+${DFGKza!Ts*z8965gGT9LcZ`yTmgB$O<p*q0ePRaVpuX+d{%-f!p(y(Pwj^t-U
zfLAy7jJxgCL!<R8<zJqmqJzH)S;8D3dbDAV#7|u;Tho<r;jb3nOsjd<Zw#<JG2^c7
zMqTW-j3s>dM8P3vb#E#iphK6>&Z(tioNu_!%3*cfA}M?yArEjPbv$iMlaB9f*PNWM
zt%e6z#_uh9FNAXyieWvWI+z^fz9S`E1#>Sso%cK|1j;w&$$yV&7)Y#Sm5YgZu>1AR
z0T9Bt(;Kl@YBVfzlx}`=kA&VD**>d2*g~;}Si)7&_a?0+HKCnF#Hpy`+qZ?=!re*f
z&d(>cv5w>8nt6wS4%RAtBeJ%TlC<+U#YqeQ(my(9k13(EMANZ-={69|+$9`R(ZsQu
z(#hW&m9SIJveA!f1B>-9-gq~rfin}^Eha}5F;mSnY5ayY%<BtZ`?Fsizi_`?>&sU}
z18T*L9orfX^fEn4zpA06Z(QWZ7)9LeIPlKuwiQ&AZs}Mdp@!|IH7V9nidc9zCij+w
z6(}gLw>!jDMW6TXFFn%~@oVw)yrmB<;dxee-Q!3VJkY1N<jo^R6z;8#$Z@cQqhb^1
zJl`r~g@bfhuDlY~l1nmIy%4}$zpAfXH)Ztn+HW(sLkauxd)8F=2q4<rJ<+0%jPtBF
zcac9Rq1mUL9V>?TP*T!UOpGJr%lKAd?^Xg1I&K^ah~|ULm9$m67n8A4_s$~wxkU8(
z6+9iN&WGsS7xd3WG8)@d%nvIf;!dMZ_q;M5FvY%li~k|v38ObBzw994rKa-B2iNjI
zfxAQ6eS(DFM<0!|t;lFTZ_!e#84FlFPGjzpAtNR7O`?ptGG4smX(P-PalW!Sd(eoC
zozcoa*NS}QUhWX~+0z2H+TBwP2q5F<PKV+7^HlNGGD(-T1s1@l*l{GWl#CiLcU+*W
zsbO~g?aL)iTnMdp8kHm~V|ek!FX;kxe9pyJCCOZ9Zq`_w9IuQ{(MCJGwrODe_qtpK
zZ!S<L+8_2SsNl5Hjg|H{DR`w}uy(027hd>B_EzVp;3?BIy6j&~gnv=f-(|UA^E6EU
zjjJj~9_}tQ^47+#4-SiyhdIF7sk`jU0yRuJ*UjI*nTk#&sv0lea$r&G;J0J%)G*^|
zam+=!=>5Gj8oauL1KBMuOO{lr<D8`~)s0_h_|ed^sOmKbO6CVSrxt49?wer&vbS|`
z<<Ea|^#dGO;8D*nEu>)7QhgQeC^{P6%Q&kj!G-15m@6MX)I^g@FMXq&b@9t&IL(pG
zg{So)W3k;@$kZGRchuCwTfZKci2cU}y(ns7ix?G?9&<gc2lep2E<5nibuMiB>X4ds
zfr^frDe$nAfy4Z~M`IIQNKdYF$`;U&(Np}TVILD09K7z^B6=<=%&t@E-86L9S!Djl
zh=uRZyZCrKv49Q5YLR~r>fqrQ4eTo&EOcr~f9|}52NstvU!-W$Q9ba?BHW>mXLyCu
zx-WU4-0+MnQ%%P|j*QQo@A`<gC5OIl<HNDObj<M5#ZAwy7`|F%fHwpE>g*SYdWKe&
z9X70spGsd)($5;;v5^h9?V$j&q1~H(Ko8Z#u%fxb0I7!}$&^q_xZY8kN&BORgFeT2
zYs(Gr84bSX8d*Vmgkf9F4hHU6ME~^WgaQ7@yb$~Ms}<~Nz2Otz%n<ot@aJ5C0X|In
zxb=3nHRwC`$7^UXky1B$;`#%9RCUkIH}bN9_$Srxx2$2}`4bC^`^ox9^wUmxEM*IP
z$*Wp-_b~Bg`+;=fau#Yh=di!tu!S%c?<WnBOkCl%J~YOgiM7}4>+N|$NM5#a-M1hn
zE{u6=S+tsgr`8H%ew7O0hQQo;)}D#_UmP578|$IR*NNg51pr94z7ji^iNCbgvzRk<
zygxr#>M0MvY`jeWY`(}x$L?*MTcd-DXGV$#-2f6<)V3}w1}@EbJ;RNr;U1q2rQ|ID
z-+z({Ln`!;t#XUM&XJ1Yoo%eh?EvI6jZ260^sp$HGXE7@3w2D#)vs>`n20o5Mvc)$
zGo#c?^sgE?xH9LCi#tH@83>f^q~nadcCB=i8Y&w0I|f?;>`!d&ucC?keqcw!+czpW
z<YqRas0MI*eYVz;03FPG{=;;ZqKy5kaw&!Hgb@76vm-8_hD{%u$pfcJm_sYfsEZPU
z6s`Fwe~60L>o#5uvLa%}=}kc?Bq0pxtk-GgP?4{Hb3j7W;rpX^`>?LsLah(g{{0+n
z6zgAREU&MG#y?)e7JXY-+wjJJ`no34RuH|_0u}L^f1Ky^O%dmJ_Z*b*reJsV?)?F`
z7NAmiPTmGXkrxD>jwkgru*TFe*Q{Fs&*lto?asA^oTI&ek4UKFNZ-qQ9c~I((6lQq
zR?ixQqZ$HFQ6DPz?_(5@70_abFxmO46~wCa4iaQkF<LYIyRWhWS_e`W{?WFAsl^nB
z)eBY7WYzgn&D9EM6?>wamt_f8cGcm=AZ4U<@a(Uk0(uemZAhhB!bm0kmSa5`EiPp~
zaoe;27n}GF#b*mZv435`TP_*jl>Mn@C@Z4l>(Kh6h5~q&JUr7<CF*sm>YN+NiYN{C
z79a2OL3LfCLBU26<}FZ;_R><qlqn|npB*3QC}lUPLc;%cWHaollrZ94WdNf?^quMw
z!<k=**l8mXkiC<DlYIxC=8Jm1JlKX`+(g7i|K!7S%!tT888-e}ng=_R{%e$bLd4jb
z*|`fON!W1gK3hV>dFhn>Sr591*l@IG{LTOgx0C7!k<J!CFi&0O^pA+a3&Spq_mI&v
zYK}|hBo{IS#e3HBNf<l$@$JM1Wn_gGP1facA@jjLub5*boQf-V9hgwT-EK3V*ZOjy
z)pYu9oanq|44)e_T54#NYyJL-HW%#93Y>H{kdZ7ezB*v7Ixdd7cq#c42cq7WUe@|T
zMtQB3-ixnj;Bd&Ca`QVJ@P7FBn)6X*tlcjydEzex<8%0?ixW5?5VCxt%~a65_@V?c
zPz#B=-MwqKa$s(bV$6v#6^z=m$0OjgHa>Xi;zC)?0S~vFS<|Pg=*e_g*k3`#JG2PO
zVtWq6GB#Q<i`6iBrFF4PJPjLvC*6!)%z?qp?#ra|)RCpFwEU&F4!+p1Vldx{13}>h
z&GvURaJ*Hp*MLXI>v^xmBK$b;B_#6!tA&EW$z6AHMEx&0i&^*ML>~EPJNsZ#6CeAZ
z-yJ=!iwlZ`l}7hDKxjI<tlCr?U1_Y=#7;fbpLup9_74ZNx0M>USW$5rRo79=7}yk^
zXS?2s3$KFTYq0x8eRZ_1jD3oUaj*53&<jMnhBc^HmrO&w9~uhujVufd*xaF|WdV8Y
z^aw4`!TJ3XM<jLhaa4Vti&K^boO3*W`q+pL{#mA76w;=T**BRk9wt2CFz1qHv*?(2
z!mOh**Z>n(y~~e&!Gq4k*Cmclx_B|t@15MR0T!929lsjIhZ=%RY4516Xiw6<CAt`5
zf<%3gq(A`ns5?qLt%n_V%6?ovZiwKVF|}((0KIB=UyJK9u(YK2KeH@Dl>2(IRr{$W
zsGK;NRgo*|>g1}(fn$bfDVSaHG{XuyWs<@iDNNMf)s-9uhNw6ABjL_gYdE#PSMJRL
zCd!<ide`4*faM<VB42Q9pgfgR`QZ^0`?_OYix?vBd~LG$G-(4pZ(p`Be>1UJ;z-lD
zyT}XgAFZt@7I{H#r{shz3yn=4nudF`kbJw`a)qZ5LK326O(j|QFRDyxzmSQQrqj9-
z--Y0iYii{8k%>F&&i)CLWZ>Z0z4t;nB5u<=Hnm=7;)CFff<Je4@q;%1>v|E-=dYHq
z-0#f9JvG04=B=Zn&-T7O(#HXY$Un3Gy<uQQ?QG?<aT?av9gH!%3c$}B9KE%MfeQM<
zVrn`SH`wVUO5750{+X8N(sDg~Czq)a7OjOPFI?G@c>o;k_JoOfdRXi-)$w3l1BV{I
zd@FYzfRXFmujQhPl~%F!cA`BV^5yJe_F(|)-WGow(Y~8dYTEl^vkI=c*q(aD8({iz
z-@j*7I@t4x-Bb`n#$J8;@B1bIDPa>d+6WD;RM+VAh&prZghXJPXxHc$@628&+Rye1
z^fGrN0v@a`d}x>`1QQ?MYmV+zR1cb^Z~ml+@ph}^E-es3U%gFU3q>0@_ZMxJ6!AP<
zEXam@(iS+EQi@74H8H>Dx#y-yd0ZGpV;z*X1$G>qsxzTr7d!0I`P}&^_x|1MgON61
zS8{w=N0&M_L>PG2mdfG0+H)_We_F%M_?p$K8ETjpNr)>T$>Bif?8|C@Yw+)i6lm{K
z#gX}&#nz!Le%s}@&aBG{_MK91n)X$}{K=y$jEiOQ$iuMwTTWK6<&UMq(qLu$<GtsK
z;H@l{z&_cYT1!Zpi9X|ShKx0jONVS1$>H$%Ey*rcmXOw2^!;N82_KryRe#kXhrH9J
zzENc&&bQ3`?J^_bnwnpuo6gP0mY=iSW{v<hMR#8+%q1eVu<QmURvw>brfQ~^@xkNj
zqwE(vBF6P|^d-_2@V9PVnx-`$LYg<UWV|P!;8JW%Q_});{#i3|r=AD4QD(iKSp+l}
z`Ys7fQN)Kb{lVwg@E}Cu-q?Tp2>5j6$~XxZCET)#xr6lC0^SZS(^d2*pzWGY^<NqU
z<Ot5TZi%#jFP*=y*9Q<#F+pP`Yl?tQ;z8}N)hs~j_x<COhY4tCSfcUxv&b8FV(#95
zz=cb+YnCQO1U%XE`xNmL34OlSIQsZ;Aztq9ed$pGGRc-wp<`rZFIl}?Q;7@PSNTmC
zEhD0fa*(PgSq0ah^h?}S&jI=Gt<(OcL`;&-o^P{M6)ldm7M(rJfsGCKEe@NLFn}<2
zI6X-XyF)`}t?W3E_jKx|?_&~<-e{6<`lODH;;+hH%X7e>T3&o&2N|P!*eTT26bzg(
zV@Q862VOron=_R$Ol@1wt>>CpQ1<D+Z4b@i`O7VjWq&K<5|2dz%Y3ylL?n)T*UaJD
zQjpo+p@JT@uO=QwQ*lYk&5^rl<{-R5{ciS56*pU)cwg*8!{CbZiJa5sa6+Bf!)jB*
zFGGp#&qRE+OOSg*IByQ64n+mSKh&|rSyoKZkdD){>`VM&bI_ol`a7jg!JDT7_tG_V
zakyw^bIL1osD73&e{h{9mWu@|*)7mR%^0qmoD2tk9KEs0J68)WJC{7>h&U7HRZtYO
zf&=@L&SomjrQ!?5=9N~{3^dyoIqzAP$agghI``b8qF4ID^7(^I^xoC|AYPIStkXxg
z>4wrU)#&}9<~9~Cxp%RY8_9*Y=In*nO+~wa6dyn+)<=V@?GGfRE#MyVJB>zlkgs%d
z(O`tA!`IGKwOq9TiRUAgS4-#^BkpN7wa^eNH;k*#xbWa)((XrTyF@!@y~NIx$0D9@
z{@}kyo)7Hg;23*-JybsF*gs~)##3TTtB$<pL((sU{QTE?xI5M1TU-Jg2{>!hd|Lo-
z{whQri(=rj+x{C3^Vz6<rNQ1U)e^$=AIOK2m}pqNz%Kb58$BJ~CIv@WL4B!kLOg?s
zkz?;e)7;qjQ4gGZ|FZ_Oz!z$LB5s$jSv#Kb+7K^3dU1K$(FWFP&b#=>i-qeA?-e{@
z8KU{c7vhb&ws8LUWZ#uE7B*$*Iy%@JV7|_`&{bo$utG6@^W9<=>fFATXKJF4#W6F|
z4Y!4`<=ynB#|13>yVUJ!+9(t6^)C<D#RhQeZOS!0&ccu_?>7)r8E7KdK#&Lph`3YG
zWU!2dEeVs2@#=agymhkO@usNH-`9Vw8(`v=?*o%ZQ|LH)Vf%xvuK>KNdP91*GtpRn
z-?9f1I_PrQrIa!R&=F!$tJTgxhnIgGk48{Y^Z6%U<|KgcpWjmDOa@Z3E4m9reUUvB
zc`aiMps9bA<(dFJJj}b#o6ym~g#6KB%0~d5qKJx*>AFZ}>ds9%q>A6q?3_AS4<IlI
zQ`z%Sv|9%6ZIV$@#*~v@vHVN`c771d?Ge4-ewvhjLqy!MQ+DnL(H`Np&a?NOpy7SP
z$%odm1oV-nBuf7OKh;<<k3^*5kMOB<wy5V7P)gi>KnQPtB-YrQQL*Rx?(rCs0*arQ
z9%A^4_C?=*p?{GU5+X8p4!@Gah_<`lI&HQvbm3Y5Iyp^bp1q?IAt#IF_SV8RU<+B>
ztAmXXYGAR-h(ukX49Z@MbcxNk0rBd;k)5LcUtCS7d|4`u&-$EOc|;rd(b!cToui88
zm47zo5T!A>X@GJ4fXEB=Whtd1|Jey_3@+73;YFr#`?G#4u#dSgu@01RnU^5A>aG-i
zU2HhA-^B_x^fbT+9vM9nDzd(PkwW_JD!x;tC9F8t<+R#~gsWyk1%Fpb<A=nx5sikH
zP;@G8@5V?XUi$Q%`}~_Ul8)C7d0i5~&+CHhqm2Yqny<cUQLzlJ|FQb4D@g!r61P~%
zniFu)dE_E1a~^uiCL~QJ@u8@ztAt*rgpc*jeeDZn@qJH5c%qzWkLS_8{B%{qw=Ktg
z4L-=>h7hU|B=O)wsx>E7MhTtnA6sk2k;e>oX5LC758|usq76Gl`|6X$y-hb1&@<O0
z^IN6`@Ty3mgZCAY9lGmDu7)DEIunmAH?n|Kc0wPyOcBrjK0kK)mm)S^k&Mf&;lk?J
z`mb{v6tSVfY|!kD5}wE|Cfcv(LVb!^3iF2|UX-dmH>Zt&D^n69{iZoEZTez^JWB~(
zogez8y&>W~H;)i^5wAWhbbaQ%UkQ&qFs{1#n}i3X_U#Q>&VlhU_pZ)vCDeb^boM7r
z8DDkgtke2y4rCeUJL_BtNLZm@y;9_DO3vBJr==pUDwQ01^_GBbhii64m#QN3sqT?q
zd(46HaNK64=>A)Od$(dKMID>I@W8;v99j<^sp~NzVKRvwWqnQq5BbzykykK>)OpJa
zFHe#%J>qjpi=ig&vN#g&GGGSZ`u1B?zanD=->PQeD=kcp)fg>pG6UUPF%@3*%IMc5
zwU4rlin)}>|0!3Rft(njJ)uzrZ#4c97MjseV7D-5W4Rer=Tv@j>KA#WCFU?NbnsH`
z`n;3XX7Gezf=3AIsMt)&{iQ=k%A*;{+wErHI^lS<-Aw~mny8D#Fm>_P+~sq6r_G@8
zgj8s0J_YrQuQu|`^w8oHbF-z1In3!hI=~}p;hDRF$tGZ6YCzkkH~Y+?ci=)2AxRrO
zxW+{RtC+aHr7@)SxjCc{h1|3`PQ`6&Vn|1QSojV18_QaAz^O3%-*FEb4kwl!`|PKW
z3KuU|+E;QQqsc;kOmy9>1=ZiKY%stTx!=1dS8+kvKF;>sv<^bhaW-kGA&!|GX|b8+
zLd4o(U#sVIH0K0*&Z@C7!=UJ3VYvl#UR&5}c2yS_n~h}@G_!Gd#ez|%cpeZ*-j%y|
z>EZCgt@ri4jWBCKra536AL0)mew%2)z<5UZwi8uGnDW4+EoQv{GK#iL;RplwHjOfU
zhK#ULdM4G)(-N`|+p23_V4~&+`XlkrMrgaC!sL#(6`ZHFDyEsTaKY32wN_V*aBw(c
ztisP4k|HI!dLqti8U%T#Y8qhzc^Ruezy|6Z7{x@QKH3QQw)I|Y{Kwbc<LGA#CY}E7
zq_z6^%J93j*m^@0TV}EPt&50blJS2JhwJ0w<oj>M=mw~>I8y98QN;hC+ML)heN5Ns
zCjO{kp+n+G@Jt9mc$RLl-5Pzw;lq(LEGBN&T_ibP3y^W(X5Z&|`uJ{pZ1Qx39(IqB
zW-Y}Rfp@rScU~q7Q#7`<COx3z^1x4<x{MdW8upS$PZU|Wi)Nb<FWM1GVh<eRRxE-D
zhT;pqEliXPm~JrUQBmgj*0SsFi(sp4s+ZeU25t(ud2i7IP5kA$@h{C~5i}R^?5CdS
zq0ybNk;+~*{IxCkr?+4ce4joPJo`=;n=;=UsEjD1b#GL<wDKZo7gM(}{7T1w0Oiy9
zOGrrBWh9vM1z<&Ui3#(&4kkx1U1h&1q1fr3i)MuYpJo#hy}r}%^WyV`jrSIy_BHvk
z$RGg6;fBnoKd2b*n66K=oR2~KiSsTq02(_?qvi}~<JkDAKu6bkNLhTZ*1b#!xj)BJ
z<s`JQXV7|zJt>9fytZtZP!)no&zSrj4h5g}-&&JRmBfnb$8CG|+d`sHv1%|<9Zg0*
ze(|ZEixcO4oyyy6AjP@O?RK9k_8h#rq_jaCT`#@jFE_RUqxgy`O_3KQ{6e2EH4?{T
zp2rjdj#~pML?CfYN*Pn9Ob_ho7ekhDoP_vSE117uKI%*Z2@N|3>Qnl}@S;`Qg^s0G
zFyOK4a*(L=9Xk^9jI_itw5QuR^rj_{66eigE&+9}vyzlfiKA~_JHt-N66PNFJo=+S
z3FA~<0$di(#n?9n7t<pI;NCq}MwC>->uHmIX5(`)F?;ce!Y_RI9{>OV|Njh^cR1B;
z7{~1yj=i^IAI>@U{N0F3qCrwtR+N`ylu9a8$Vf<1kwhYCY0$Y54N4i6ls%Hn2qCY3
z@8`On=l<jQj?WpBCPghT68h<l?xFOvVXBD7%_qBz;mx0!{c5EG_&V%DMEwLiT5<gx
z{{GGg&cpqNjZOTxt<cRsM3NJ`vt!+?HW-0Sd5m<3JU^Nb)v3jMb0K5IWQw)H5cp0!
zApCCfVch`^8`*kpBz4>vvfE$?MybD<6?XCA^f%{_W#C2glPo2a_XaT8`#tiFF&|nR
z-W)yrbsbh7-+iLT%>Xo*Ziu~H&xc#C58v`j=f`)j!j$+^A6~Y~T0T6=hjH6KU1X+{
zP|=k4xW`F-urg9`J>AKN4OPX1QCfl+Kr`NwBdre??e!Jhz4=ijQ+!>#fe`9?bK0M%
z)`R>l%kYq20M{4OcNlFGM(sCD#$LX9aH>wi8wLgN<Gvif2eBeJRK)6WiKGXS+80NU
z9wg!4-mNcH>qK$X^`z#7mvnes)Dm@?MGzMY>W|h*ierrL3zk>0bQq7+4-G02M8Wad
zlNDzruyTe?xWSqZNjo<#9q|#uhllnZWZ{!SwzCSxTKshQPe)B)9ZeYHj<HRYl}h6m
zlaa2w{WQ3LjVCivL<9>w@-2h+%3|7&)JmCJ8hrb9*wKSe6jez6p$}>Dn5p=m*6vao
z?3#74os<^Cqe3KXN>M=noj0NauG8Q~YjMD35J!fnAg6PhB03rUsoGsYgQvY)m989<
zK!sm{7sm3GkazQIYEUH&_L0dCdEQB4N)UU(tw+je(KX)n^#cvktTy!2>r11@Ytt8U
zUsRAGy|Bo`Ob5S<+|xVm%i#9#bQX6ORW!J7I__md2kkBK>;voNFv_cj_ME1MbgL~7
z;W8Z*TN_YnOdg3-?86;C>d4!s?ZCmN2TCC`Clfv@V7!}DY48ON{Q9JL`;T}%_<@CW
z9FG+7U9(%w&L^6fdwnKsP(~lr6)abruPLGM?*WTrAGOf6bm#H>W__qj*YUJWR>o%%
z*LHpB(8h#YfmIta4WN8QE=e$21slh_@~+lUP|I4Z(l6W)u9Pip%kd+l{UMns&yzYB
zu+LujS)dV6Qp5Np?NyOCVz$#;R2LIh=5*x_t?9*PTfH|~4ga$_(8C>}ivkOA;CbEz
zlD@}?e3@25?gpQbfJ|K+^qR5NeP9ZIs`PAcma1cIWrgCKP+hD6sG|3oK`LKYWxKrw
z-doS!c#v5amBapR7a>`|qumY1ue{U1U-`6s<PAD_xI9AZrLiS^4atp2)zL)Pe>b%s
zTTzg|xX-hB2LbtS1U<)sH1W23(=V$zE%b)a!ftH<RsMThJCAGP!da)&#%t#TWBW;M
z1pw3y>2mr0nkeoeSjk(Wj!~O>O&i&*pb)iWT9h@Bs<9y{<Ao{?l#%0tc3Qzpnz)AJ
z6Ad&i=r`1Tu7dj&&zV_eSV2^OSinxQ2EMc>J^Wavg#SIC(SG#A3S8=U%k2nJM+2Ru
zYx4yPc&sw#HSb$1$S&*ly?aRwy;>_Tr#s1FRqVaVZLh3gR^s~Rv|Fn9vbmVrlp%?{
zu}ysX_pKly<3V3~J{ikDekcCPi6KYffuZ;3t>BV)H7Pn-1yc*nq@0<A(M90GofB?r
z_e={{&IKzY<-4`im<0(9ELFtrOIbk<kHJPidnIJK;CtfnLtZSYjj?NJ1rWKzvaVQN
z5#yee{P|VFiA?j<_~AH!f<om%&UFen(l+W~x0MZ9-tw-nQ31A<jyY_bl10j0|E2@i
zm{Ill#p(1)0$O4QFRb)PW9~?HS1;Ep<4)AYAca*+=t(&cd2eh@M-6{Vtp}GF2aS5G
z$L%fQWSrCRJ245opWXIR@$Mqy%a_pD2iX>|c%tn~fv*_ua{VIy+-`yK=xQ%}{eU^t
z6j2ls+C*@+!tG6D`aGl1FTGMs&m5*k>e$%!38Qzus$JT_c}Cw$S#RG2Gmvq1HD{9(
zLhqaya%9Uqqv~)JmwJ~eq&Mdk{+K7>C7uYk{+tCy*S90W&-G0~X#Jxg-w^?P!!aZA
z@%bX-uwUA4mkbkNuifacufUHS>YJ3dYA!K8cCb!M%^E|d%ZvM7m)4=&W$VXwoy!a*
z$%<vg-NxWvf79i|CSE*M$n{Pa|1rw%y_h`w(g><=B`W#q^Pt`rbPNh+LdzbBD6*ar
zh_M~q%i_$9Ig71ZPoy#9X#9B}+ATu}oUqM!Uc`lM9h>{*U$bEHHL30!vWCEM>azR?
zRW7_Z?x4~o%7!8j9+2WL8$gA@Y(s53C-NQMoj!bo9rfG{4|Yo$0R2Hk;GS|$yo6?9
zJTn}qcUz&e;hH`SJC-gyzRQWbnZ4uBpXS1LuM6j$)b*ipT{er=XHImLGe0V)&4Y&}
zrqpvD>p{fjbFR<GT)406>(u)xUZnIqFR$OU=2z1j&5bW};rE}1LYG_lklwlb(!V}B
z@Vl`GDbu*|Qm}I8rVatT)j^VtUCV{NCB`C#<J?$L|Ezn{3JJA$8C*W2M2EBYzH3Ln
z<H0Z45fd{?Lb&&qkdki`4U)o}+MtyeU8Q1$j6H;LvE6i6*ijlBD!L$`zPt|q^4h7_
zl#3wmul4`QQEAW{U{S#9z>jeW)7Lb`#4x?_pzqILRQO$d<1K5w00wGxM5^S7Bl~5u
zxc!w>a1QD6(y1h&ecQrsO9M%q_;2~&<`Y!dPMWQ3%o4;QozFp26H-{loBL>|GZo?n
zxW+}(g|I2Y$t1Q>25&wtSPIprf{PN%?a6#$^cTJEFjg&xeWddBSLLZt>ZDIodn1A;
zQh3${1u0+|lT{>#I2EFtf-l5#i{X$>k%DUcS{@Z{N}ZRc!VdQe!73kdJZ+rJ=W|yH
z!}smC>(ixzrt7Ja^&Ju@GCoT28Bs>X?R!{ut?g6vr0ZAYUMajGZXeP^A>&N4O(ZFq
z3jMTW@|K)3xO7%-YA99}CBC<Cbaqg|kcecLZ<NJ71yN5bzp5eCC-rx#Ar0E|LeFzu
zmB*_(UB44eHISU>vBFnDgVW~^*h@7i;K9%~udBJ5sCVw}QAsO0$htNDh;2|rFT3K0
z1G8Ev)KT!*VuB7bt7Ff4-znij^Vxme))b6w4_qv%(u0oKM1$5YWy}(_x)~g;gOzn2
z+n2BEgMr%lzt+E0@JLj{b-fF^7|re+E?Qs!F%*l)&?PdeUjGnbO;9m%`e}YU!w?i%
zCwjWs)X<1}vSButibir>odfem;2FG14rWzHIo6)3i4H27lV^(0*qT6^df<}Bv^uK&
z<l6K4Cl#~U`Bsk=nu62)(T4Qb8aQ1qv^>yG#fK)dnae!p5IR%4|G{ZZ%==*H^edf;
z@d;W+J>eFRoEuz~C8>pfdoCr}%TkeEHD^ECZV7Qkv-0t0wXkD(aVP(r4zjV1y&?+%
zSda7Wzx_%J8x{ZC#o|gq<F<tq#WH{<nNr)}Pg=NmB6UOOek~m5R9_j^vw}ON0vR=x
zT3BCm36%&93_5aC>~4`2Om*8=JGg0K%CE<hmxokwZ-(Nt%70c++R_r5`(6_t&C}!F
zhpC`}%kF9~3u_<^KiWPlqKO~HUoIESD<buz*Y?1@)*x-O(6UI?z;EYI9L^V($MCG1
zy>|{+!xe)|ZJ*TDk;&q*`Tj5|%;(^stn;)6+UYH?oLSZIw2?OsD2ZWGw9igWGi%7K
zEsCmoMMjPLCJjtxLOA{T&u1A9YpAyythJ9(K~0l0InR>#FyH8?j(VLH2*0zq%d4e~
zee5!Ss!}-dh+44B=|fg9?y^zO@3SHrT-Bol#<1XGMx(IGT258szu~2`3fMoz7WL)Y
zGNbwZu9@=Z03;2YZj(4U^xJzVZqM)>BQWY$nX4PXiD;JtE+iRzvBPfhXvq|#EB4mX
z_fZ0bNoGY`Y9ulI%HZsVuu;a!2{)tX@&t5g!nKpB;&>`Ef1i8X0E45TbYsv?O9;&>
zv}ijcinS}{0-(^#*kn{N6Om>CWww8U28)I9;0>jxFZsVQvcfKM&or6CHC4GJ>zOrw
zD7I&Pe)20Lx<gkrd!0ELhU9#>?oUFgxy=(<;$4gr0S%lVwwXZ``;TFE7Ji)D`L3-c
z;5&nM^B7;(6;rVE?&=sy;KdQfSY%ydFXIC}pyB;b6Il9LCuO>W8!a1SFXxT+GqfYw
zf0kOBK&HV$^G|<HBo92ksQPG#ktUVB-TRU;{9E44R``@11D_4PRqy!0IJeVt-{)B)
zFsmpuT;9ZnTU=;m6yskEl{A*3*_}qfH+3#LUx*bwBOPQPf1G4oh^xMRrN$6QyWP9|
z1X!?`**}ocJk2P3qM%o)ZU|k+#W_99nQ=z`Qh#v6Z$@S3T~C=D1Gw-k%4IZ*376S6
zU*K<@V??!o2!6$D0FN_{x}XFT{`F5T68=5Ua6BV#m>;JPv){YIM&ni)6qAREOB#O}
z&B?4$Ijedw@Q7o0N_LfD=ybzgD|(qxv3Y{^R;(U;aF;t|w)Br-ii*BX1OFJ0wn^~S
zv+6+&Lvlu2VwJ(7Fmw3RV<uc`IJIXYnGQv+8nHuRtBi!MuHsxi7JLy9@jy$04q+z)
zL*-bRF!UT(UhxrDtR2a9j4z>q#!%y>?jR<dG)+>y_m>T=y0VUPTF@X*PvGYJUrcz{
zEl8svn**KQ&U!bk`KM2FVe0o}W^_*sI(OZP3(ZGVm&OlKL1^C}+U5-`$k!3F%Avu7
zO^1A~vPGzHfbGM}B6(J%2@CoKsjkEO;z<%?k-DHTbo<n+wfz31&fSu-nI8qevczUI
z>%iu(PY$$evSVK#e~OVK2}^2Pqn}cA;G64FF=KBI)cM{QmzOGtosoGv#d9f;p&4vj
zSjCA(6ZdZ_jtXJqERSBI5CyXLI;(T*t?_5_-YPb45uE$@i$@|y8-{n=4PI&I!Q%fM
zH>J&qV*ZQJ+*K`Y@aH?p{QBBDJTg30%2y_iJ2n|hK5o&1DV<;wolJiGMDQBaB}n3|
zb!p>lycT@&?K$yo4+($&^Lo`5FO3mjB(!U{Xu)~MD-kORg4kc2L>S(Y#Q_11Z&BJ>
zaOywSRPtLPWR?{?l>B!sXPipyKPqcMZ<4r1orVY=NzpvHVxowwMwjL147I>Awyub{
zC5kJDw->G^E8)3Qt9(a-v>=(?FXG1<$F*#)ZxQ;fj9WGA+x;19d)~Yz{r;~6Ry!%0
zd54fu+-or!EVQA?(s5H+yA-B-r^?$dtKz5|-E4708ytVk2sFHx!S@H}n`Cm;QGh1b
z-u;pSTvfe=kABD@Ni^P{ZM`NMyYH2W>C^#Fm&DS7bOrpgk!2xwE$_5HZOMNqN`*x<
zx=MPki2Q-{%(|NtJW!MK;cpKWIGv_RU#68XZkr(6{>{2bGA$1nd`E*@c0U(9=qk8%
zFU$PH5Gq<NXYJBl>r3kl$9rX?$@oPy`%A4V4O2Ak=wFgr<GB7w<J4MJJZdo)zp0Ui
ze=FR4ZbciwPdSnZi9;RV&id=J*wQii6}?(^*$`B|%au;9<wxJCqP<SJbllN*@NoH6
zW7zT}IpFv{O{}nTwrQ`Sqx%-~fMQouh`N5O*fK&3Z}=!0>6Xy3r)n;+U%?!-?0>O4
zd1zyLZ+Oaw9dtY@u;kD)ZUJr`3a{QvQm}dQQfO-p4ePY09f-C5KeaSxeyo6kEGCK}
zcZaDcax2Dt<6QvRh7PjRI0aQfcW8T&E($8Qgxo)91*(HPw#zS2(3#ig*==D8y46Uy
zZ;-TxRLd%qVNlTUYfg{4t|nSGOVP`3SVQ9HcSUMzeL_OEqsm8E4V!8DJvQ7nFtw>+
zVlYk{D}N8On{+E<lG)b0|2EsK!R7u-7ZSBFQPugrdbt9oeExklJIDr@%1fPccWdIE
z`0%7_2GTe^#OJf(Zv)zXP9dC38kigV{4MFIDDKf*Vs%(=1Io41*czvX-n(>b?rk8U
z!`-P#(Y1Hq`{o|Bm?EQ&1(AHyj}ynH{ZpKuT0>X4<6UE?H9q7yug&0IWhD7sG@o@_
z%inA4VdJ-z(7Nn&_UEo?Mi|Sx&X`FnsPj}F4CGQo_oJS6yN`ThSmnR=?2WO4LDh3h
zo&9p?z57UDiQ{9U=)I-rE-otwh?p?1ZI{L)!eO5hpY#y-ESZ%4y8v*}TCMKhgakT-
zhZ&qZ08>D$zcWf4bJ#e=EDiAW*X_`~hGKZ&Yy8d|8dJnOj#ADJ2LkHOZj<(}5XOZV
zQ`rYTGXyn`YYTsnB^b(otBl?wh#OsE$EI%oCcbks8`LCQK*4UW_UDoO$Os!~Zql12
zTF2Og4m>i4@o>>cHkWzud;jGp9+X+a!6eUg{jeECDz`27$a12@;ZO8}>fc0v(vq@~
zoEen780)+Ij}<>hH5<$`{U*o->QlTPrtojY|4yy}GqxtOaD5h@A=sx&Pe$G_fqMt_
zKXOH{FzUAbFiGW}CS<B>H_1*IgVHN6u|txJjHrksGE9S$1mCR-5_bq=Xq6eOQYPjY
zXPk<BAKo7)mYc>q-((wsT*vVqq3_d-p4qSG4_z1|n07OR=5Iro5%Zl0d^gTWjE=t-
znKDYWCF#w@IUB;`yuT!;{2vStQexIZ#Rze8HKHf$nE_16`n}4R8DyYu%Q*k)5OGZ7
zPb-;h0H1z1?QNm-G6>ym&)iQ85?ePM`?GpcAH1(6>}ERM$&lD^#<D_pfbft_WdFmV
z4_RDZvqDL2jBUdnipPZei5+ss&v(b@f#wWVG4pmaW9CDGqm4!%QT|s+H*<jwuODpw
zdf<FLgL^?|aV)f#I2Ul0WiE;ijPm`Q7NS)Q^D`P%i%mU*OM=Y5z6BbH%((s;`d+|*
zjRXHmg?osFj+xVzC)RrYy?Nc8TT+MzvjHMy54wqnoYcRQ95nba={q?4r<`!P*?n-O
zq?`EaBY5t61{FwqYdFr^J|(!!Z?y_ccN1F+hTl#qQsJm7wUNuamIyyWE&Gw!L&R)2
z@1+>13&V<}4L9C55U)mJ+T=`niRzAPS9WITK(fI~usr))qTR#w<;(V7qA}s@71ufn
z{MhZ&(l7p=SR}Od`E&XRH_r42|K_!!Wdo(6cHKvU_v*=gnQ{Gu7yMRN*V6{tgo<_s
zUmLOMpz8U3IRk`Q12g4*xE6RS?my-$)<L*bM2U%f86;jLtRFo7R1-4KPScunJ`=J>
zMv0R3!^G$=yXgIFn!qE!x>ek>lSmo5!TGFrgm}nqZ|3E!0rGZM8KHN&h=9Wx>>(AS
zg#GE}H&(aR0Zol3XJxyI_Awdf*oR}p?7ppzODyW(^rUYv)U%fedFuXl<Lo%0+?d^X
zc&{4BL@A`cf7M46XI}d@VlqWUEi3xmdZ`Lw=R%U_90!P~7tgc;^QH-^N#&ntZB<ym
zINA7jevoJqN@N~Z`Ax(>c1<76A;a^3f?G^p4HNf{@YbyRJWJHE&MHlFli~Q$nnADH
zAH<hmtQVIa{~@$w$$lBJDj*<aE^~71Cy}pt;FZ&x1!8PI`cucEGSq)=oR!@?PIzu;
zUey&|A~HjgNzF%;LBea@4j7&!4yBwd+m*XQoL%MGlD4b_iKfh2wR@+D--oF$GU-eZ
zOS!PaHbDt)N1J>Wnwuf6wl?*+)i8rsaMC+PVI{b?$j&BQIZK>5828dIj1|&?C~`r!
z6e0d>R=sNOAEHxd@;b*3b|Cp*?+hmtq3zXcGWpR0k(FPT$+V9XezFEG-|tp{4-szy
zd^negBDoZq<onzZ!TX%&QM>~DTc_dsJbQ)M<2Z8B-E1A)zxBgbo2~#`9w?vtpw9%>
z*PQ8hIR#+cPj}C+7I}Ed?)mmYJu@WjIc6d+APB=(5`{N8$^&0`py7#QtRSql*r--7
z1n#rs)1-bm$T0TsZSrP^5T87u4}~IdY-{(K<Ee5WV#pfBbA%IAcTKlY9*M!H*8w+T
zT;)Jc`B{p3BR9O2CkMwaNx+2X*o$r}Ik5I~{cvFGI<USTxJ&GqG<>psnH;i14w$<a
zau3J|fOuU*kfE_0T=je!u5)p19-lVNBq0bNH)L)PzoG#41#gSaaLdEpsM4#KUkict
z-kfMx3njSZFkKyk@*uc}EW^IGpQPBuD{`zVAh*vVV_~lXup4X;q?L+61--v6a-0le
z+8-|uk`%$Ku$cLMuLNu*<++lU)j-lWJc=}@2x>o%tIBMW1}(D1E^CS=gaxOhmx?RH
z_8VEj#e=et`a974bc{Cio*XQhJ*@&6y>0dLZVDj7n-SDHtOKbgVX~sus$eI7s%`nJ
zB2?F<DDd8+LYA9Va+S9_yvRFtbSPXI(!N=>=uFVS(sCt!|4&UgFmi)$M3D@cBFW!m
z$$D^iAaQ%~C<RP4jL&BEsse99(MZuIeR#xCregYl3R*LtzNM|{FMEDRHIJhK=xg4q
zaJ)|kInEDl#u1uO%;iVksALGHaV_+>Q~HqGT~wT6pbaA)X#))p4M8{hhqG9a5lkHI
z*h1~4fGvgd?&US#=ae8zZz7q(Cimt`)qc95S)nB6`Q8xz2GqWZ?=S~ag=(6G8x?v3
zIAvmu4PiB@(L~?|0ndA`P|Uwk;a3;!Ua6J={MDNfGN4$&tACWDBYHH*=DVRea9a;N
zs=0649<+vEW|2WryJ*0A*6YcY7i+$3SEv-9Yy*cU{pWh^Xu$hO`fdHP4)96NIJ+HM
z4@nbNOY$pJ_-4Qr*v_p9U*_8DCZ%n`<=gdhdB>>`U%`7Nb3g@hb_K?4jJE}i{)eLu
z7j+@en^xkOArI{Dxn)n3*@83IwL2>v6i^zPGOr#Kg;U`-D|B*g;nsg1I?$>GkxY^0
z3=JNrrAT^O?X-ocfM<VNay8)az52~J56lrytK-_e$JT@Ca6^B(wHoB5wWd{!w=!f3
zw?-xSt%nJdtGY&AD!|#bdLT>gFXQUTiiaPXY#@wvWt($^5}5y>&qc?vquP}xqa7MH
z5V~lT|4vE)NF9d>lX+eodmEeWkYEiQf~qZ^mD1q3<#gtV8wszwcWH|ZSiy+xD3QEh
z9PYVo=c!{6!UV&w`UmW+z{hxWd;NZ4xDxd`u2@PKzY9C(T2=yRgpF<N4iNzP{(?Pe
zb;6kPe4llU3V<VTY%os|7i<q0&LD}4;4Y`PA6@|gRk{C8=R~o<+<yrqeX0nWCnat>
zyvY(Y5AEJUu3jVts{c4tDvIDeo28$^J{B;htw`K-m?WA{w2%2L31g5`l6^p;IdnJa
z{M7UKN+jzvZ~yp47!#IUKPbO2gZ%B>er3^57#}HFCthR=BX?i6%eqxlIK*)cyz=@O
zhwkv!6$c69gZPVwm+VcU_mp<@XvqY_K-tySc%v|q%YIo;=bJ#Vds{LKeU4G&zxiXS
zp)k%}ykjQHWCE?BtxQ=le;IXi8;(gE3u7VM@!3cFjDcyLcRM<)GA^DhsebDyjQ@Q7
z(eASmtSFz39Oz`maA(I)JC3i-6(P~x(FpoKbJ;NZS@BEeWzR3Q!dUe9MPzBSA*^u%
zx#SHyO1`^#M@c~hhfYc~{@Z2<K5AU0*Rna$=}u@WUJ}7mE+g{LZ2(ux&RfoJ<whax
zx0&J^qWI01+4n%00kDNV3-Vj#!4N(7x8d!g*!UufFN4<rhVI$<vXrbt=P62!V6GS{
zk($&y%k*JiL92l8R(_OX;dN6vDvqn4oF5!<(TAlJBIojo0Om*;vwe<`z|Y6rBA&DB
zgXs9KV@h917<t^v#vw@(GfYxcS8Md3g8faDL$x4gy9{w(ekO%--t&DAPw0W)ot=m2
z#X?wE{IkBAT?UWv@ZZ_HQ4jLPS**|J3FFhdX*}5nWbvJI64!NUJ=olC6V!iI1kVIp
zjkS%*;g-I0$D|kOu!H6wlu{;&?sJCkr>zz6sZm9F?i$A(|G8=M{u?nov#bUG$tYsF
zf{grJ2OXN#LZq$!h-1CkfZknZC4BmLN>KbW9o&}EE{)J7ai(5YjIqXxN*%X-{|(VW
zG&Rwa|D+T?&OUQ|`<OD`0i!>US@oc2xrqGsyEGP*1;$kVQo-{gdo5gOdhpR}A@u!b
zSv+*T-0k*nGP>{^9-9c&1JgJ2(H?K)u=%NFSoDf2hIzlxOGQ1HTHH^)qN#wtby9!S
zt#Rb1OvC-^D*Dh#<&voVqkuEx_lA%0YG6c`n(MhM`tY(6gL_{o;$o%4w;vpuxR;`H
z!c5HoGzSjV@5xib`{5VsuKm`;yiQl&=vQn1!S%KX?T|9g$7<zXXwpKZr5o3|jvIoj
zbFI^yoeCbjDj!2Xr;S`OPS2Fq8^KT`k661n8KoKv$oWbXT#(p2wM)(z6i!oxv--$*
z{L|a=v5OQ`KX|nJIF||R8On4k$yY`9f<&*d4hq`55V@beY63>q&Hbj^)X>*frOdjI
zf-fy{d+XM8=lfgw&5lVm{2u@S|Njh^cR1B;7{~35>~-wD4u^A&E&Og<c0xspltfaZ
zqFybP5{X19B9#g)65-rRB0@$QR>)39MAqxy=en=&_5ATX_vicJ^zCBGcuv7*m42pC
zY^K1(MOs`qqK<YUN?D$^6rAL0b~(Ul2E8$43I73gOmIAWb4!L6id!p5_pzHp_pa}Y
zl6o3=lE3+U&vQ-ezt=j}IcE-2w&yGy0yOa0!}YucNn}JaPwB~a0!S9JVV}Y@(1y@p
znKRMA3;y@wDJ}qwC;5IxZPmc}3gK+!GBvCT*qG;k7ohpfIafXz4djooG22B_#e%O9
zv+=_KwmvFb_f)Fm&O2QX7yOj*VSCMdw6q0ewet!2n5*NI;>WI>EJgIVH<R(e+yX)`
zcBYqRsp0kxmb8W*dAt|&&X4YD0pi8$9fSu}@$#0pzLQ&IapR(dSF4K!xRURkOBPkd
ziH=j}!X%|o%H6$^v6kbJtc-8zDtNKHqV=gL3HOg(54k9B0q;!=ns!(!<I8a_fg>KG
zDE45t#L_H)tW8jp@J1yZt+sA`(j|lmzlp0$2moA5OFJADQBS@sy{<?Al?3Gu>^}>j
zSW=y_$5{c-bTqzkDB{J``t6D$#M->)iI1J`@>pc#dU;nGH=f+Ubxv)JfWR9Hu74_I
zQJOj-!^y*mjMw)Airfe=p>-*J8<xgC&+hyIHV&-0d_BzSnK_8^4lY)br7-zGx|d26
z8xpxI|NY=Ihm>D`vgXfA;8Yo>)fOLC^bq+tViIBoO8pm~%&dyzB7?tJB#Q+nDDUm>
zzc&T`)D6YXX=3>CNSwksBNnth6JJVIF@@ouir=T4MX@0__+YU#3*Lx?kVml_z%5?J
z(m+`Rd)OV88ZB5b{Q6+T^Fb3}nOHhKFCmPA<>oqiYx%ZS8zZV5O(4j{%;lA~5O#<1
zQZ7<h(I9?T3BAY|(n5`HKk*ktjtDcg!a-JSdKoh0C~pkIb=Q`Mo(Ui|fo0{%J2pIZ
z-r2<}$q0PBq?nv#1+ZW&yW@EcJBpo*`(e#y1PV6V@kbr`(cyq@<kvwCjOuw{bL4~}
zs8QaQ$R+aO#}0*!n#!CQ$0W3}FmC{&ZhIYlSorX*Yw3&V|G4n;ky{H>Q3l{<*`OeL
zpBJO~wH%zLxsi$E;r-LA`e0fUSQU7b7c=kf%wwEck9`S>FPbju!@U8`%<KqWd_tUK
ziq_#n`Qc61*GcFDKXdCj&s)5x)WG7Gyugp#!Vj0c3-mx}fG5Y}7cV}fTq-4|1W-FU
zMxE784<6VsLW%?VFks)RKI@zyhW@nlvK-WfXWTbBTGsL7wE`;#(e=WZxzwe-Cteq}
z#O#@LXy(WJF+#@^^+fPs`X1M616?rft6g2*DS+0Ouf9w@D2f%~OC#@w>2R~~z1pcU
z0W3WHgtnzh3@vNKPW5Edfqm0yqV19(^8Osq{HI33kEg7jr|qIc3&mE+#9RnXxh>^W
z?@3^uPm*+;CLJ=ByDQl^gwgrMgC4mJQdrY$PTjdogR?d^@z?r<ajLnABVa@tvpPLy
zete<9D>uHcZfznMuDa7~;HfM+iL1x{s-%J1oXwN0@1poxey7)vy*!4A{G=UwN`t#<
zWh>w3#c(86H+9TL0S%dFN3RyrVEe0W0~@tSShs$>gV$9N`|?K$1IlO+tnsFZ^N0i{
zowQhp2~a}5leaS{?KC*C@x)b@&yuL*-j%y_S{aoNToScnqC??vnQdPk*X~!E<y@Ah
zg0mCk2sSf1u(%}kHGh^t`a!`#`*v0Q#JeG`{W2YhbzS#fM#`a}?19V}Hg$9#d}J>$
zMF)ddd$R&k<ndt2a*7{a1Eq$Hm!^YtA%MZ+Qg>JZJ>$qKg5G4ziz)WGxTp&<SBgjn
zy%jOO_4$#SNKIr;u|1Y_R}U1eJChx3lrS}?_Uy+PEqu_yc<C9S4{q)zDNQtG%)ZHg
zKQokq9Qzw*ubLQuQU0AfGtw%UM<k_lnrP#>SN#i?>V}~8X31NfRTa1K-GC$CwK3WG
za@cvY5s2EIT?yz_#iXGtg_}0&U|C(P=y7vnpicZ{)_tmmhD)5OXOHXPt@z-F6h9L<
z`geXyd#F0TdB-!t6{3S=UeAYVmo`A<p4F+nA{y9zjoNopNC$TnOdKyRF$EQOgIb9!
z4czJaiPJhv8{H@Nzb)xCgYzqVv-`NnsA-;EJ$Z_Pk}`TBZY$=XpV5&W>`F%24|&Jm
zIB4PKoS$v+YyeGZePb*K$SCpZv5;CT85PD2jG6uem^m{&ryfAYpn|ITY$Xl+4lY0T
z{sd^}&J5<&CSz=8BD<Zv8ZI8NVzb_00bQ5h*V3Cb@ZcwD%8ZK&(x_5KT_-GH!a&m@
z)LsJx^MZoBZI!S=NV{m;LkrmNB=P;jEp^<{pK8x#rhs3Hyelfv0;Cl_eBaZohJ(SH
z{xhd!@o5dWO7~j}XekM6Q5#l8#sA(>9=(#pb8(9Abc-yYo-_8-nGqFy+IhxsR977N
z{06#TrC7kj21<qcH)Rz0ySKuXNd)t=?hn4$Z2^8WaicX1CDgvaD<7yTi1pXW_bzEz
zK!#AWc>NmZ^ghllDtqwaUUwehi~)cHK5?CTCl%1g?N4#67#9{M_lC-(1LV#(HAn1{
zN3(p#vFHSLWM?We60ik$bXt`B{H81pX>=(p7qFnJZ&$x}F9DT5561AEmqw0;v<pl7
zm~j8bf#yaX0tOES3r)mJVnn>`z@>m?hVG@$hd-Y%2Pf&XuSB1ckZYIFccamN46XI=
z1zhUPz=`<OBs(jHyl0t=wCxudWk;Tb<%*esTr4^4;dW7E4(T-8zjK};7^zh^zQ+`H
zKHN$_IV6l7cLJ!%BJ+%T{xX-zk`1u$W;3ZYRR~{HIfc8p&NG}Qa>(Yq8^DhqdAC1M
z5G?{aToeAyGY-t(^*0VQ0h50LEb`t0==W8l<tW=fMv~aKK;^f_kRFlea<-EXYoz68
zHtkqsZ2Z+3Nme!n4zJmfCM#ad=J4EMy|l!5FFgD!@S+jO#?r;rhj>u^Tivo``wHWd
z2z_yM+7RkVt~HTwxe?uC&#xY2!nBIdJym{&a4|NEC9j<eIacSMlCCgg(|^Y`{<Ii?
z6MLik2T3m6prgyQ`z;F=`ihb+Z8U%~x286+Bu-?%kriUZ%Z4|PmxLu$>%*lhZ@;tZ
za$=KfyUXqU>?jgdH^6PJ57mVC2WMtZ{JOtGfZoS}x}t~dg=_WT>vz}I<@t3exccWe
zDU1{Esx&5-yXnEco%{3;kT{X6cJjr52sgT9vGgf+>%vx<Tj5SSI5B%UW+bki2UpYT
zPwqRY3;hSi$8OYdV$1DlU8fhk$Qu^5_<Ef#bk^L|f4q$g73<e)l|SW2{3sRRn!Cme
zO1Zx(A2;5|?{b@l1u#MDaBhGt9ilUL1~UzD;{vpVE^!Otp3(qmn+Y215if6w8sNbu
zVOFV03t_ZSpW5bfiw5#n?1LrO@#0+dv&q^-5v;@^@liJ##IF?k<h%0Wobh9MjTuoq
zwmcS^x}FA#PMtIQ41OF^Vc-Acpg7tJZ!+j>qJng`vvSm90ZjKCmK*1kz~p7G?5GSX
z6!lICDPI;udYGB{<_byt>|8b^dyoqKjv0q`o)N+fYN4>^6=`IjR%d_iLWPg-v+U**
zh4Gix+kHn)$|8qngcse23QQG`0?MC@;K%d+ulL)@W75mOL8MTjL3pk#Y(f+jj@<Mt
z-=ToIDr&MhR4U~8nY%D7#qqj+oL$g4MWj7E7;bJ!g%RgGIojHPu_JkKy)9G1C~@y|
z3cIQBh<DpN0Ygb-V?A>@ZCM%ZatnF?rcvQXM*wYWhZM?vr?ql9siIF9&*Ru0DwNLY
z?!A^IgD1jV6C>`bVVv2`ds(J5XsOK?sPUIW%CfJH4U+~=yrD<QJfnfn!($3rx$-D7
zXw&+|myA}`Ml6-)bjZ6{sA`&{fFV{&_kCY#;`SmV;2WZYz3`mq!UILTBaDp|EEMEs
zN?*2otP4I)heXf5P{JD@HizC^;|oWh@(!NMdLZw3vv{CN8LiG1oY>)^gE^`4N4Kx_
zA8RcqvFIihOb9r#`bv?CDR)*2jB*Ts;c?~Hc!w$`^WZIq(^Q<-@ykBiW(cIy2DKYL
ztKo8m$t^vkqD!mSjZ|r4m^zjIsi|5WKQA+n34Nnt@~C%IN~8(cHSKS>ds_pIJZu+D
zK2VWkKGSyU%LeF6e0l1>HNJMe|B#}WKt+w(5^OLxgH*%tLZewSo;l#XsG~qdF13U-
za;7;9iO7`81!>}vkNxZB^*ZR_l&c@|ivaqEgLaOEn%J`{ZiO)vOqVO7g<l15Y8RGW
zeXEK7U-^8RvNh3kB*L>+(gJvV^okemYvSFD<Ir$c0~tTI*!3h@fRg{njmKV^xJm8C
zy?T8$WODoJ(K>1YQ_CIiT-wNJ<U6~i|AR96HAs*~v@F4}SNhLaMKa#BeEjpdmm=~T
zeU8cYumt;^do@4Vu5nhR?r3+19Dc5usLS7F2_AWr<OLgb+#Be7$ksp#3z@g1;8sg0
z<+V5Zr>cgJcAhj$=@-L>-xrQ<Gq!}e$zjFWNtLzUpk9zOBZSv1|Ck(JX9@l5zeXuN
zR>ti;S^TPle0aM5*PKO-1vL0--uZ945+<IJS$DaK6R$Ji>Yrm4uuc8aN(7H0zI-L}
ztLQE(Ug)J9J*T*Ke)){Zn+kcH>zx+6`eKD)5lphmcn45_i_bb?QWo!+iTrzC{g>e{
zw%zsEZh&I<l5o}-X-xX;P&T=FnlZ7<IBAXvU_8#{jWSshKgAWP+k}iWWWL=kB^eX2
zYPigGX+a!4{>Zjr^dKXA@kDXKL37xY+NkCBTNI<^{wz<N>|<OwAR6QH$P7ZlPDgI!
z6+ymhloUg9FC(CUIZ0v26za;SIO!fjsKXKa_L6@$V|N7bjH{W#ziZWH{ci=3RCmvq
z=|MN++8cF3BXk3-Kk9yxw}cPpbH}w^e0mvUPFlxgOH3f-{9@2?-SrqvNg3#n=wp<D
z&fF-w3B*1m?@M3c!ejc;iwi*m3`73b&DXXW!{gSU31RG<IIGluj+;Eha53`y%KzL5
zCf)5*Yuq`oKz7qUE}K!t4qv+6Mt&nWoiv@`(8Y#QZ~DhRKKRABDD*j7?T{fPkSv^D
z++oFM=l=O-=1ej!4MavIbr=9)^`^T!odw?=dHllm(lo;%OGPZ$(f|%GkLV0mG2?B%
z^Jh23{b7_T*mT}{rVotxxmisTGiF9V>?qHeW9&*ACyS`)!zmHT#lUnXyxqF6y{&ql
zamQC^u=183oRD9apGPp^oso4Hme>{<zWkI=S4etbJFQgV$HRm<%xVA5?^tHs%lOmw
zU%D=cdi<ePOs_JuZyfi%(zeQ23iPy!mDYtMZA0x(>(=rkW9!58nepfe6Scc*e981W
zaKlEQ33ZZGt$ro5;2S>WM?F+J6f6qy-#f*GY@@M~2JCEjeNH3Ix{3y$q}n{_BTTr|
zn6Ys+ksY^PEobicqygo2G{=Pl%t)Sk^V3Lo9p2eHF4{Ul1^)!^Pe}qSs52Fs%`?l1
z4cROt{mW~6l|EXP*u;XRLdVoQI=E4^H{}Lhn+i#(PoDDSv!axO$~S7ydUU&avwiiU
z4kV2I{5X1_4LeT@Zt3IW$3L#`GhZ|7z}U=QGrKBwR65R+d$?EtkG<WnVz65qn!b$Q
zyRyWAMofC`MT>%{$9v`vt%U-k?1kqeygAWau=J<z_O%|g`SalvCkhz7Dij&+<ighO
zxTptTMKCPC=zLh47T~(gj*{njFtGPzRZFB8K2Q12hA%`5=yRvv9^T4}bS9|_a=Ii8
zaq7&N5!8aHErB(OUi|2yA>~{tEQ!CJ&NdHy&;*ahe{<KX1dzDHb+AH08go}!^O@2$
zfs&z9nKmhi;cjEAzinl)Zd`lu(Q!?fjy*}QG#199+{dATE^ECqP+;-JF-=Ha?>KZU
zQv_drjMi67RKONC)1^(xn(#YF?~{VO80s|V-F?@mh#u;D^fVhZ;RA!mc8np8NBew)
z#vPThes_TNHnJ87wR3%bA0vUD?U%n@tX08{=kJ8<eWnGvqK~AVe5FuzF<`FTOATf8
z!prOfDd6nDUwP3-2KlopUS6M3$1}3Qot7@zkf&P2)_+V6N60@|dT)}En4jBOcR&Yh
zBg@Z^eU(QWHammwwpz#&EEt*-NCn!YR%Sn&A|9|69_5^*;FYYr>wbnbIO)6fkIx1r
z{7-7K;qPS~Y^F3HWvqFwtI4j33(?A09j9?b^dc1#Z^X~iZFIr){Cd5@N)?<^4LB`i
zOv8hJznM{D^<eY$e=>rsYUrKg*VxubL+<qAn#v)4=poU2`z+LP>#2fJMN2vw$<*D@
z4K)O_6u}b52o03Zz3-NCiH^oMnBJA~8^c0LNpf5=87uaQnvw6&G5RMxQlr)c-qc!_
zs$J8>eh?cMIzh*DnFO7Q%ck&b`w`8+gKOSczW63WVlAJM`q9qa91?SEB=Th`_)o<z
z*Zc?#y_i3g1+oM9|FC!~pGLuFrhJsz6e_O!vx`%?4WM9nyveSWg2$7SF4#_JBfY#@
zB5;jsDhg`ssf`pYeVG}~;;x0;c9td2Q!Jq}x6kFrc?#z9$gElfuXz>8(d%D<B?!6X
zZ7N(^o7*NdmglaDe^n<hIPqA)ez(q4EnO}2*)&xctFDA>A6QpDSX+U&tEUwUb&apV
zukX+~<uP&QOQwyF73>M7Pkj5Qfww*rZ4X2xv7Vk6Mr^VI=ZjLiKCSs$?PB&V>x&}z
z>+wL~S+W)A8oE8Ll~cp>ceuSb2=Jpxqpjw>F-zc=5IRzqpn}!pQP&Jx4xH(`)qM7b
zCAhaV(IO_5(BracaBb`|Lo+`%y~oHB_@YuF#Z3_nuI1R1mM0nh#c9^-8!f<Qr1pAq
zu{^f0m{9K6d}k~KDO2BUw}4C3g6C4svdH<8Q)rj-3qtSrp<(V}0286WXD?i(aAVNr
z);n9fh!)bHNy~5mzb{q}3(+JzadfOLvS5htD+w3h{EvXx+gm(U+eFb%C}kyd<`?1f
zMpt4|m;g4u<5PQg2;*goEMb|INkS?jZpUA`Ih-q`Do~{a@sszh7lYE%M9S~iyuMq_
zK=QUsIlm|$MzKwNl#iPxp4pj8XT+L<>eOwKQZH^Sx#+f15<E>L--?}TU-K`Ly+&C4
zUk?2He$uCGc#05~ed4$<Wdb?1c`0Y7S+P~oZmLIaiU_oQ&(TOXfvS5KwOTBgv9Hde
z%20ihc+e%*&J}G838Tk0@2p&Au+Zi^-)c+{6YF=2d%rh=M6cl+=5Y%Qw{*wqD<fls
z-6ir|u%r=Oov_ceZJTBIonS9ZzCS{2%Iqo`3pWI(vn+wNsnd+Av>Qq<4h<3E8=os)
zZ8m_o1Tho+)4v%9%rb*Sw)`XnIO*|Xx&{zt@Ad9<@+d=g;nfb#o&ChwYf+r$H}%1x
z+U_8i!yuz;SLCIx#2>_t+(4CPc6~7T<}1!|t&efnbITWr)*fO%>t@G{NIl4;?0EjR
zyqocCL%4NnZzpl&N(tZL5nY%+6K4=e`^xCaoqM`q^NrYaOYf+Tzb;6ga}W0oYGV|u
zZtgZ>{z4S^{@s+{Nr$iI_b#Z~H8WVJcPg{<e<p-uY_He)(1B&7A=P|;9pjv1>3*k>
zHbOtkwP#N^4f_8MvD|{U4Bq$$4(Woe1Z~^C#l5>}5VO=>eWT$uL&y96&n?TJhzDOh
zuN3{Ff>ZI;$Hr058Shgcw1|^G5jn0<PmiX;gNOU{r806Ednl88AEz`E!#f7G>$#{v
zS3jKM@G6esJ@+Wt!JwHqdAYf$(MSg-H04TO6kj6N$A?zj=W8bB)dyPo1GIs3?Nw%=
zO%9>FH+XzrqM6W|j4H^#MghgrRJZu<d}46V`_J57&BUPCkp|{^Eok_7GONb>1<|Lw
zbl9}2nNZ)Vpi#l01u^fGL6hkfA=$WB=Ysbq;>5}o(K5R=URZXHTs>M&92GoKc2c2*
zIQY7Q+@3&&>jF1}{6mniQ|q_cBGyXGWObR2f6;(R)xPa5>2C;y@b_;zjoS!%Nxyry
zx&}CWn@-;Rv6=`=?<|N(XeWLTIp@azrw(%ziMv+?-xFRNCmNiEI|%o2?;Gu()j*=J
z{`j}hI)bX0t;gK>g}895z9~~r4VK5;5^YE8i44{Lu0{MtFy}m0s=uxZ3YCIRJ&BEk
z%+u4H9+RC!1=sy@Vp#=-+SBTOJZmO44>V?X`t=YTau?<M_o~3%Ym=Mq8MP1s&zugC
z*8d<VSHC&l{;UkUUnNQi_qGx%bR$jw#6F^UTh6B~8<nBF#8UK4emh~_63F;tGC&k(
z_Oq@ql;E&gy<7U-4np2M<nEH_AVL3dQ}sU+C77s9cj~PBN^JR5!yqdU6O_vMC)KYM
zA<N!`$xfw{u&C#8s|g+@nxB`X)|e>5zOh}^V&&b0Z)Hnt+3#_J&{=tL6cxZ>*P|C#
zKlBo}P6%>6DE&>GHYBW?H!47oi+jg{PakpMaJ}uq-YKHfdCQ@O&+?GnQ)eA4Hb5k0
zH&%wp%n(|%c&X66@-PwkR4QuaC$Xb?Hs%xaETPl06m;mX96WNhZ!wk_CcO7BlL^Vc
zgp}qs#xXTH*wC;;-f90R@sj8Ip3waZ#A1W(ZONUo5ZjYuGrl}d>>pJYC|X%0GA-G=
zuVu=BApfQJZ0)~^ze<OSWWTHsM#Xl2O$Vjn4R2@nofA{UfWm7bf{7XUtjqb%8A!v-
zuDY&d;~8Qpc5A#DvcT4~2xFEcDUh~|&=OFcCAvfApS3+@15>XEwTKx>m<uD6H{1Os
ze&r_BICpS>SDbTvqrW6f@2=RZa(98K>)PKIZOjE9!;amy?v#LB5-9&7mWVyN8QzR8
z9tfNs*4naL0!klmOfFMiCDPkGwu;yD!TtRHs-KG_uw~-D`$&r!cHWn7Okfj)9r_;o
zt?rS)$5Fyld4>hpea`kWH48z(CdpCP020jpvEFuclnr)Wt88&-5P_=aZ+cUWN$|NX
zxa76?I`G`|_ld}g7|_PE#|~(bpxf(JL*ywgXynds+z>1QS@B=#+7=|JOgj5Eg}fg2
zi0Pj$6_tip?p`A9F(e4m2#ee!%@6lO{a^jZE(a|avbie8NHE{AL(^7U5IUU8nWW_u
zprHJv-E6W1s0pMfP0kB}0dihu>r;eH;^z<UJ1Gf{hvzbKrbM8(?eHr1M`e)e8vFXP
zQVJ&Xoh@HViNn?`Exmues!(z0nd+FI3>YqOeKU)efWm~`RflCXV27UNz{_KDK(?;F
zQ_C+69p49B!cS?!<Au9-kyioEB(CQ1cgw;V?U%Lr?Ap*gKRTTAR1uEzr;ELtmWRQO
zJbJ&}sqlSW=x^TV%HZ!9(jA_x2nP?PWlub!!Koyxomp~f@FY;}8P!P{Y=&AlPqFAi
zEvIM0a}F}BxE@ZuAgu}pqaSxWx~+Lmko_g;!xS*Rs%pc!q6Q{C3t}$k^g-=E7Tu>W
zsSu;jq1iaB0S`|1P;IXo!2VmuENDw~APEVJ`L}3-UG<@uaX&+dzHQvR^@2W#@b5df
zqksaoxd9%Bdki6yn(o%^Y6O{mde2_&(*ec7lml+_hR|bt^m~=<2H3DP+K|4szm+9c
zco{bg!Ct3U;Jv3g{QQ3HwXrM>*tBa-zAiBUZaxn|rl)JYB4g>Q*>xIpZQJcW?V=Aq
zwNv(VDOkcQ55_LDZ!}<ZRD}Hu)P*w!Y3ic~tYEe{MR}l~2FLOhf?|beAX-Cu%X+~Y
zw&}l9fA@q2zEwl4$Gf!Pv~FkqV_zFcFD04wnbAPCNM&BnTn*BLJq@bHY#=H0!#})A
z1+U?dbc19Ch;E#UaH85mY>?M3!QDDQlNSxjGb6#!sUOvvYv*IT+7145r9e=ryrS&E
z^{|PT`*!^w8@T)nrc(crVfXaarIJ&#1Wi!%`=(1akQy`P|2tY8Y-5Ec1BHGtdVRf4
zmo8gFOL!HR(oYqrKF9PWCW#4c#yQlie5~Qgk>sg3M<wuYdM#0F%Z=?Bi*2C=RxqT_
zu#BvbhZmERJx|*O(8Imo=){sGEEe}&`JNyRevx5;7cL58>0o3`u!|)a)CdS1{jv6L
zvt_$7Lqu^waL=OF0}D_mSsy=iS{NuQWmdiS#qdkxW=kP13-BXz>n#rRfz0E@qD6mk
z^ekxps1*rd^zd<Lbo4q<@t3c0sT9Yk{-o-_4g$Ok5=%C}WCGsblih_K;u!m<<?5X;
z=CJ+waqU#fEU{P7{`>1{alF&NS@-q0859plv3ocU5OZc4500jZV?yn*J@P_kaH{C&
zmhKH#h*}ly@Ht;`WU3V#QMWS%^{4z69F{*An~ir$^D2qs{{R30|Nj)1X*`r~8-{J!
z*BQpX8)K}4VeBqMQ4+GGv=AyPAt6dTij-6mDN(kvM3yvHLRk_;QI=#$mZIg4h<Dzv
z_m}5-e)n~s$9V*P&$fpobJ)13c4_s>Ec1%&qVnu_5_So2&n@(sfzqLwS5sy4%$4^^
zo9kba(C+4VuY{2qge|+*lu52IBRy5t|0pA2EBi62<eR48noNz&{LYTWOnv>Qr6fGL
zw=LrwpDD}@e|p4~%!QdNMhbq-B$OJ}KJR_f1X|`y8c9F7vEpFs8~@)VoOXA7eTv-#
z^mi89a%%A5Aa`1DwYelNWLZWQCNe;F(Q%$)B7hTV@&2>7B$05v#4TN#0nSZLy9ioB
z=o&H*>?$RNi8my4)XR)PZ!u~2d0r8e`?7;`szeHfA~UkLZZ?L&)ih>vuqYnu9cSM2
zmB#WX%4hB7jljo5UdO^k471zMY+6T=L6<x$L7{vj5V}~b5u;DQ#HTs~@%*wFc)VQy
z*LEYYFTVejSAvMbuY8V<am(SZMdt#0IU`^kpSrESOvKX_a&=R(^0<D`o-J^c4)`NP
z^7Vu`Ixu4N$JZ<17cSaBb0r<#Rt`TZ@0Y+p`pT)ri;9@lSztVsN{9cHV(x70BVo(h
z?fvJ&mC*8czh^)s9gdV1S9c6a;<5E#eMdEwvA*q8Tu&e!Jg4UFQ|F{GJ7ALfcuE<)
zZ?;W;^`nEC*|t(1VHup0^J5!+tb(z7<uu%a=^$x;G4rLdEc!<u&JsJTisi4KsK1G)
z!%q$eLS(QU+SPO(&h}A5o^76{GWX~}j+_W>Dw4-v3$3Tm8IrL!M9*)chYnt)$Gy4c
z6)^C>Fv|cTb=)*%H8w;t0&ALhDWAF$uI5Hj_m8P#oJ!1Ca*z?&x|v#(bSq(-R_kZ?
zY6^NqF;=#|GJ<h~0so!nl+m2;+=D}>H1OKj&2vXhje*VVHQQ@b6*OAid+@e36`8N<
zo_?rho$ExI`^>1|-+Z4hK~q%p3!bbL-^c)&FsBE~w^h-pPHF@1NloPTD9_z9%>YH8
znYI6IRKu0e+?%qNG*ObAs-JMv1Oj(0DDV5NhF5t!$u6E+SX8?%;@K9~-qw$VzPm!k
z_pdhPCSBA*i@E5ydMPug*JwW$KvqYTpPRP5sfEfPDhTBxW}wcQP;FMAj$=FfC?>I5
z`2P6WkoD!}P&Tks9wtjcn>TC)mNYH=Y#{8-jJE(g$1{JOqbX>%?@Uirr6#V+*saOE
z!4fV+Cf{{N3UWMdF}p0NiH)*Ht40N_!1??}5BKjBj8x-!*2<t_^qm`gS`AjPnA&oI
z$*zG99~*jdnQP$a>^1kXKx^=q)p5J9NWq3+(bG3r->)D2<8^7?8piD}k+=0waA$6q
zlhS80a;!FJ-7x{^o@Ad-NT*-~yN!>0sv1TK=4_wd3-Eg9n5LRJ1zm*ptV=Ug#SQfj
zr`Rt7&|mWH{rXZJQ_LlaH{U9w-uD^qf;#|g^jcA}l{$XgTwnb=LJ8-Fzoroi0k&V`
zp%mwk@z=Yd@%?rR__p)l_1Ad-9Z9b_9{f~8i(8LpXX<6~_l@Dis&s&6?z1Uz3^mlU
zFkk2EFO3yhi%&*k04n47D<6cZV$ty9eKb}+JeP0jP4xs=`N8jg>%Iz}<T#ym*hvEA
ztJ3QPGy!Cvya>zhQ%2VkQvJ6yA|8HZG3_v84W$A0zxxD~@#a4T&LAlQ9(~KzXLQUO
zo<6&(yaKGbJ>qMKA4IX_{p~eYY}WAeouv&gYtIcNM~m_@MX;#tXleX$D-fq|xXgJ>
z9!n1XM=<&&gp7*k7N6%WVPLk+z)wsL_jI1pPAL(@*Kc=EtQ@ce8;0tq@uxEA<l-~e
z*dTzXNN8pA#R6#ahkrjjA&sNIvI?GQ3SfgyrN}!E3$Q<47jC;v3dieC5>p2FajbB1
zprpkd{%q@9$lEN5b>z>Np1k8nrQ<fUx2?=!Wx!zOz%CL>|9Nk;i(3F=N1cP+E6pIL
z^k`OBk^~;_?K22IB!KiMp9MU0&7f5+<wE@%aZKJypHAQtM1HqW2bn@sSn4hgAJr8{
zEwg>H=ADB0c<ApVZmKD~b@q7Fai54@zrAZZnL_Bf7K%fQOyFMenU=4nL=0_yAiljv
z7>(SvhUDp+Kq054QPL;@zq?x<bK?=kR19^Uu46!gxsDFseF8ca?NAl06h((m{%wg)
z3~0)@-&Gw?z=eJ9<+p{4AyM;H+w%cqD4e`^_jf1(qo%KnuG$b#y)$UE?}#xN--<h`
zc9ei+YLtOFB_dM!u8?Jk#?afborG5i*kWGS<smALUOx<9zpFHY{RfmTxV|9Zi(4J;
z5uy^v=lSiO_YNcY>O<NZ$xB4?_vyJu$|NLL+wA5MGJ?RUfUKe2M6^%Hk~+3l5|{t;
z(ROH{!%+y*cYQ;|7p}B@&e2lnf9-C|x#M(LC$83Wd$Tx7ymxcBfzl`$F*@vEONX*e
z1AY(3#Bupu=B8R1S$xEI+fhuI4m!3$Yxbu|px~josJZiUD7mKe+wm`kaLF`qPm>b~
zw~|`UZQxbFV2-=~3^aslulkB|8A*(}YkTf$rXq^HA#9nuZwNYP7?<Q$B$4x%<h46F
zO2`q}EEsmv5ITSDPaOCyg^X8c!}Vj8u_1|k?cxnX;HVJrtXh%A{E3Xd`kg8mT@+id
zm}>}Roy&2yva%R2VX|oMq>4*-NK=G5LzwkzOq+6)Lp`}OA#2Ul@X?o;FxO#2xD#l*
z@-a~!0~=F~*XWY*=jR;0MiL!5Q1ZxRp8`4sjyTg*)p7K5l=%AXba<n}|H@HL35BgZ
z8#yH@D75Mld#{`h%iruHesn3JYtQ7O6t@P3nBM$yOvVU|V&dBiE-GUwb1pAonw4`k
zK()AP1ijIrQoo&4&~tNRPhS%i%RRU*3Md(a&zd6JC4LsqjxQM#k~Oi4>*R1ny)o2n
z+bMXnRTXvG1UWk_wD8`XqHuBu12$Z5Nc29hhTD_RCI`IHLMwGI)4f_I@Lz21??YB(
zBr7jHRJPW}u&8@OaSJBURoL|5-831;nC0`w&uOE*nXcRJE>p<dLJhFFq>diiZ|dT5
zw2|&yd33ql42ENR_j{;NP`!!S_%}ftxsK#ryp~}Or~lcvKDbN4_M|FqeoJkXwHp$d
zU~!>+=ym2#K@BW?dh@DNoffJ|dQDsGv4qAG@>_IwXkd%5Wj&Qk3+=O<obOp#LB(j@
z;TLHd2!Cug3dm^Unvrj*S_0N^==Za<q9P4+I^p(Y6FU`izvXl&Hd#Z7PR9APdm8wH
z;d@n^#hGS5t*;b1z=yRfi@)MDFkG28FJy;0PN{x>ksAfD>QO>aG||Ap=wYM3qiU>q
zBR4P~0<@2ny4ZA6uvjeVz;0hvjQPISp|%GgONeKq#}*3SFWtSzu1guaosSuBp8>d7
zV|`wrP8~Z(q4|xY5^f+G;LIO@x1PqQ9tfyoNK$do-E4W>a(G#tIt$RUd^n)rk&HWR
zkIEEx$>8iHx~L7XcyuJP^?I}#^2u2`{$WUA8`as2@eJUx+7-%hwkpP-W@r@lN#Nj0
z=E(3>fJdPTA4}?0@WTAs>3?-ZjEk=jdF%&3stw_O&f-G4ZoJNcVKKD7b+y5S3SgOk
zGX3&@N?743#i!&Xik<!)FWTQ(!=35g9)_e6W{$iSt(_1;rt-@u%0_EQdP@D$7^{GF
z`oz}N8Uakx3%47ow*tO@b$@dE<uI~UD7Sl+4_)40ek7`81tulk?2lb#@yx(%RA(tK
zZVc|14NbR%`&=ol?Ss<zq}M`__XQ7z{_W|BT(JNvQbi`uIVp5I{Y)}Vn+IQn%654M
zS-{IZ_Y}I<OJefN^)7QG+<5CoZ6QyWIk;)|IEZMFu!Hov$n`Tf?h;L1cCldf{Dgh)
zWYi>3!EnoIl;*)&z6JM=0yDU_>6Gnn3vtwZx69lnkq5gCiu~AR%;5eN-Mvm>L~Jp;
zt=Fr;i%iWhBbQ`TIQFet^)f3zKZai(OZdf$<$vS-1h`Bgou_JoKqFv5!6WvKV|*xO
zoM9Gw+yo}R*sQEpiJ{^ZiI=N?`B{CIAUU+m0I7iNqsP3&@M0yw(Zhhn$NSdf!6z8N
zJKwyTCn|>0hI_{A5`|D+wp!Yon*mRJqi^RAi(+w3w$?^A5j3y6FV%P17(RZEFD`2l
z#nrsz{e7(aYVzXuP**XA`U*Fq@GDVtZnV-8CX1o3*nWj$PmDm`>58UwzbM}P)pu4@
zgn$mM+Uup<SbhG-w7KINF?6~o#=e!0h-L%79^3z<!=J_Suex?(80qj*__Vk<I<uK|
zyWgP0zA(F!N7BV`NBh28cKWRRrt8aQt))ZLL3+%WB{5vh_xIb$;_$@TS8?a(4S{X@
zp>OVy1pMc?l%I1~61V7|n>br$2riP*2G6*N*s4ubXkU=RmiTo~q{9uNr;h8D28*)}
zE8^#_`pcm1;m3;I7KR{jd2Xq|R~!#|ozJ{DB8w`|mQHwy7{cQYgXY~D5@<gcxJZhY
zN1dJDW4xyfz?EUTC!B|bdi{#W-PIKF%$bDe*<A*ZYui)w?=K0@&e~6%2~)yaY2BS`
zUKoIP(4VhjoKhHMmlL+$R~Z?*H@e240qFRdiWewKqwlry&^}icEZ8@$_OI0dXf2mq
zu5XsXO;6&K*SV<TO5p+fTO$TAe(7saT)Hf#q%{0C-J*tXCj&D=1q?y-KxcUMj2tqv
zSIdTXknwX<_wqG6Lr|=aN_O#9!0nOChetxx(Z*w+3MJVP<V<US482ptdXdSD^~Wga
zza=M#^34z`=B@tPJyODe(5)vz&uL(<7QcC%Hyu*t^1e*OD5L3{`BCm9Do&mD9PIl<
zhrE=KXqOEt7!pO{<zRWiMXO8Ka>I>4(eaA&1qD^?{gfS46rhD8hOMoi6pdlOPQJp%
zpQ>oW-kejVuZ^iu1PbS8V>n@~I{NX28p>(Ar|uin#=AM3SN@eVK-DgFP&So}QkA!)
zd-v!dXNh#`!Zj1H^X^i+?yipHrN6=SXFBLFYZ&I0Xv!+e0e=$sDLBENWoj_0gL2(J
z7zO9dAgj9Q!QWB}%5JIDiR#k9-C;MV#Vk+nu3$SjYO8_QUuF49p3*@FHl=L8R14q=
z{>J6?R0E^VNelh^rH!wJx38LAv4pFSmSc*fsW{<u;n`-2HahQ-8Fxyuf<We%=1MOr
zy2|8<l`3dqSlFJ;H^ZzU_C|#Cf8kVIUwA^oVu*?%VhJ%%RakkRo}<$kLdC)=&&<$J
z4IJ?q&73?AFnfXU^N<Y{^ODj{nm(yx@vDPJo7w>E=35`T|J1;nGh;Q1+GIScTW#0L
zV*{DDxDNNkYoNDGv>4@pDpIrRZW$TafSvo>7SA6PEaH88EvZl$$>}QV+MH~_rRgh3
z*if))EEn<y74h{Wn@>D$HlWsY`tQGJb!6k&+ntdlhj?WC()4;8;C;uJ8l6qXYa5hz
z+3k}?n=7L&<1`!C7Af|PUZI9G)vX!2=Slb^x3aoKzy?TP$KOmnRYj4Rt!KDrh)9Xg
zRZ#i_;G9{gWQr>Iu+LVu@wOON_PoA9W_it~s=2j?p0j+Rcf?)KRs=7+_;e$EC%|Hg
z>)x0~CG>n-mOnKlfXlw_Vq__Ry^X1E85xQgVY@XXh`@(QCDOMmZ&*XSkG%E$T6z5G
z|Ch_Ila<dJp=XIpR#0SnVti^=7H>33?a&imgTUb_kh9eaJk{Di>Vgc$iIdWXn4GBm
zD68I}$`W2==M~u%NnvlC&-=Ds4t!YR`rkT&B|LMLkWisZ;*~8!^-UW&P+!aLvEU&K
zaQt)Q3wyr=8f7Xk?iS_10<Q;V!LQAMz+7^S$`wZ$o=a(#(i}KE-r^&vYYsc^-Q`VB
zBI0N(?LK)22lg8DRAyW@gYMHN0xPKm)V3`#)A+!F`8OZm+`3>288%_>cv(4rMrU=)
z)i_RU@Nx3X^D~8So&VIk7DTZ&kg@yw1}@wh$>~|sX#$OBUiWPD7DZoisg-`qHF(E6
z+`h@y1j=Lzb!zfO@S1I8fY@ekERO13nyqF){rU{X<1S%*FT!lpiRVF)(Z!aXh71`0
z=B>I;PZ%?nKj;;;^I|LMho@n=F>pMz%66<5!Xy2<j!5T6<sWfl$wtP|tU;T38ZCs}
zsizzrs|D~&>M^6M^+vGDSibY#PYAbfdRtrOC4^h%rBx0&89~}lb35LnLb#GM@ZS(o
z1eq~olFt2f@F&#za8(MS$=4+nv7@5ssZ)K_Kb#Kj)xVsd%L=1-vTcEIgcz3VQRaV$
z&_UXA-ZiFB7;|s#Z5TL7z<$AQezS5zcy=+i`r$4S6j!;uGvy8uRc1o`ulg85vmobZ
z5k*l<JUusU+bxbClN(R%;4_5N9}SNO-Vw!*GRLk^WJ%b`^>05n(*VlysKrMaV)*IE
z&(ys~CDH5q&j9{d132@i(K(vcZ(h%r+fyc`@ZqtGgMYyQzPa(|SKTI{g4lP@0}(Qq
zRx@lJD{KI6YhHU?U~!+3u<5wGq#XM6%{H$e(}x|2hpc>k#8Lcm*{<QY^4OhYr)kiv
z50{3XiKlx>VEu&25b=Q`idxD4P$}1kksQIG^!+64{q0fc-ll|Hd=f^Ah5B$%bo%Y1
zG)XL%$<F0`qm02R`j6H=(ucgwy{c00r10g5+MJj{735BA2x)21hcnwAk$N;_&@kE}
zsB}RUry7L*EwJVZR5nR`cvTk78ywEa%aJjXys%48#sI#&x$s+xB#*aJ6ZhsisH2au
zghtmc7Vq5dnJN@3phb06Z}<@kY6g|_K%D`&U#jA`tEq&3gM3bltX_OCBGt4_(-5TI
z${AJjDC6@?Vq8Nf6<arDb7z(sf;$`-9-mUi&?v9Ch+mrcj4UE|-I)&4#Dy1LJt{a6
zW4-1jw>DM?r&p}wFajC4VO;-Q6-zrK{$1kK!Cm}+EXzBLAZ{CRzvDwS08v1$zqE5-
zt2HvLgItHqDF5HvOrE5?!s}#o|C#W?DMJ^1?@u1|Dq?`Lv&9|Z7<K$~{q~%kvL5Oc
z>>$)WF@cE5f0BBx6vV^hc{8DU_}3ARPQEjR!mN+G_DN}=&B1~LawqlhnsV8j-AiV0
zAndK)msSmYwbT?HzCjOjrk+G3YghnZs=|><e=0W6t`)Sk>7qBAx!|uYmQa$q<vDGT
ziYXs-wC}R%BF|j+^U!E32(3135;xXFj(pxfiBsCx$aZhxdWtnTYNs^x25I7=idT>S
zWi2dGvzJJ50Qh<POvJZPP3#(%w{reVMepBf7s*cm&Obj8+wY=@+rGZDw$|4`!cI{+
zAlX3QsY1>xT$;Epuf5LSP92-$iVYfe+W<Xpo*z=Fc*@1t*w9)HpF4S`2i~v&c7^oh
zfIk}e-19vBsG$m8hrzCv8XIV>yHK9b(7?0)Ka^Z`l`u89>+P;)8@L@Mt$J-61vi};
zDQ}LF!-UfuI=)OB2+oLqd^k`YUk&Oe?dg<4QHj(IXYy^p`j$*`pD!6HEwKfu;S$J{
zN}5`YvjHCq!`g&(Y8c_XmSTE<fKS^Z*Xy!)ROZCVDM3|51EQL3%Q+D&aj&KwWpQxZ
z*_T|kJSx~ewzU7k4}Nq!x&9!P<u3u&j4J&JB^*+9B65iF;H@X`c>E3m^!Gg3Zj_~n
zQFX~Tg}!j2nhVYHpEQ6@i_g~gvGVBlP(rQ4gB|^Q@>UejTEneN+KU4bvY4NIClhK{
zn4NyS#Ll-?kjA-=nVHD)eTSOnsy9o_?NesP%8FJ{T)NeO_Dm8##_?TFZ(C$Gxh4Ep
z5o`$uDm^<&#7UU@I!v%NWq}!&vpKo3#sbb!_laAjh@&>_vQJ%}XVxuQ_F3>-Kvm01
z^Exde$_y(Y|I$2jBz3cGldm}tSBaFXQ(|b%l$=ZsUtsbOlPlgmHiP{49W{qLL~+Hq
zM76?gk=ge$%B5Pw3}%z_ci+zw!M)`xYu6_HW#-=h_u>9Q7Du#T&8P1|*i{kZD#WwQ
z^g7w`=S7zZ1cwh&(~k(^Z;>niWjFp~-snD_uWV`poWiKpXe@v&7cW)v)vPjaDJ7|N
z++zT@#@ggfdi=PCL!e;84>mOUcKgCxaR#I$Cn)J`=R?}50?G?14qRy8TWp+Y3@Tm&
zNhfM~5#nFYj(TyT+=n?{P7Y(paIu)mT*r&lzOx^Kin*|$M=Qeigb{G~dIrd_^Wx5d
z*`+)ZH~vy?*uu$f1e86ib_1h4cpz6m>fCi6EE&zM^*&FBSEbc%q&Xf;6wB%hqVb_G
z&3NZF0v$f64=gyU@gn_e?*d_jAAgeV?rGjN1m=#9Nt@$%aWd54?t?NxjGr;MGh=KB
zaZgdtbBPyi8ip#bWecNEXSq{%rvYe6Rp<6)@v-jrAjQE`6jK6rJ(CJGfNMHs{Dph?
zQFm=-G~<vM9x*4>vPrPG@Offx#6<wdFAELb&m>@P<lVJHOnoRgy*6oPryvGgA%4~y
zAYuu3z(vwweHgYL5DiNg!u<a<d=DE*VBFpv|D>t<(0Hxee*2s-ditbfiR6>ewd+($
z=mZUxJBkN_%tW!BW9DQYO$s+sU2UE`qQRD!9IsTC_dP$@V^;HC8X28&Ex9LXz`4$v
zYmDVn|8)d+6lchyWOB3<&sG{7`*Z6U?H>UzFNEJKjFHFTiW;FV3mQypae8elA&w7D
zC|D=QDB_&r+!`@$8q|ySFMeGsf%B{$_PJdNvy+5BFH&f5e5Z|O|3wm7O*`%tomR$5
zIZ>xC`ZU<@yw{+9MiP&-_D%WAsG|FE!s6NuG_d_rHn9*S&C0P#)mcw9G)=tz?%5F<
z&;-MWpDf8>2cK%7VGbF)N)%)HD`=oftT1SNAcuv2?AHJOrH<zga&21R(uaPZLXnVz
z3g{@LLQ-(iK%GQ^n%xKVp?1%tW+_<-W2HaT-zuTv6;JOj(szBJi-@<sR8YqC-umk1
z{94#zAUxZcU;r7jAt9?uDj2#~(l%j-Hr}-Ni0-j6gmQMu%4SVftX=(7`s%I@lHN$}
zTq{Ng(#8IBvL<SH1YEV2U+bdXRm;JHY)0@=sMke&9T{`qZ|7L;(Zi*$xvu>J#xOXf
z=V!(8m%h0wt_d$1ehF!4<1%1C*^`QMQ(hDtJi;-?_JD@p&RKfMhMIuyhARD5*8gZ#
zPD+&Y(9kJVVtC}aDYR%Gir_S&B3IZ%O~)r1p2^)>maS|KAv~qR!R(sou=9L?MHLOR
z6+4`W2^OHLb8_bSLrpv-?P+Q5N5l5{lKn5HEkVTjT^BDy3wNpY_w?86q5U(0o|A($
zJm<OjX5gw8X0+#cyKmFQ4$IyHVfFyacQ@?lf1!mpMJ-x2?`h*s3!o<V0?f^7U;Kkw
z$ltKCM(>^`YRHD`GQ4dd_PCB?Ws(-Y7>^zLyI%wAz4p6sJ-31M%sXnq%38QmVz=1O
zua0}jj*gk4wlMbKt0nEcCK7l|%MM>x#UI2Q=Rexpg4dz1zg{t^Xd5URt)`}o9{lg$
zf7)dW5q(4aft?zttatxM=2>}kk#E!L^|OUda`FDoObV)>I_<<*BaOZFk>Wp{Z9&J$
zU-U?tI_q7%xnDgfj{a8uGqY;8Fxi((liNbZ44QS&VHGjl*Aq80KgpUi{=}VNUN!vH
zA=_wBA%HhJ1gdOvZD7C8*iZ5k72KMy)Ib&HMnMjD^7qX)5Gt7PW`CeEE>Y9oXu7iF
zUCD<vo&N!xbPHcikyXO?9|`8ihyF5qH^rgfb(XgB*@THy$)mwj({QcQ-^>h8pY4z7
z0BzzgneCfpk;|aF=y&%IW>9n8nf@GW`0EfV+8`*6-&;N~KEIe?Ds68+Tk*jPHp@_#
zU(S%weBFRoO7{p;e^V;QM-eL!DVcfZ`ky#PHMSajDF4i44?pm<%*hfSS8W@~p%5`=
zHt~<J>LBw<{;3?DL<`V=zn<goNin4Di3qskHNb3}Co4>~nM2otWb6knQCwQLH1h1i
zAoGRD&*gPQa|lCIciIji{86Ys^uG8rv#aimYs5}75cP0vc3t7e<xzo@fT}M{<BOAz
z;!8~-)*_;1^EfZohctP}!5FjAMUitKw<)aG3zilj@ZjvGUd=q+31-bf-^+5lO<>4-
zLp&{R4d%-~HTn@U#WYA8tv!tlIQ1dp(|%Ph<lq-Ruw&{w)AWnQ{Ao1?SXoA$jAP?O
zVynU6X_q<XxwzER9LdIz7P;BTm*r_CAtBKx;1@HX|AEr@q7l^iq`tRtVaKH%EvNe(
z{xJ72Q?#UljUZ#Q_HcO(8{WQCP;KKk&kUdRcRKr-4sY|4>Mw0%!=WxG;e@nB=HV0Z
zz4AVE_#XfO0RR6C*JmKr4HO1&+1Yz$@6El}9{*!zRhmMD7OBkFip+?}C|b&@j6`LW
zh<j{GBr8fKLPQc0#p~<&bUr=5=aFXMMLq@^R39oldFjI%RXfm1YhaKJ#=ie3wGA6o
zj*)rUbz+?wvS2=6;6#S<%-ptDwHwq^%#9z4-DuDc8+0yzB7w%IzfoLE8`Ox*qx`$d
zx8R}VJ+w)uNZ|F%F)Lh~1{FqG96*o`ts>TL7yj0Qn_GoC`Y+R<kT4~j>k2*Y``x5A
zpQr`hI?*52X}4hh)i&c)IY#{PDZ?j3QVW_zJC0OmY{5zT=O0@7m@ovnGhAvl;X*b|
z8oxO$dVFTzzm&ffQ)=xG);VhepP@~2C<h&CeLc;dd6gCEQvL2;`=<eSEt|$Of77A#
zY()9)2kfZq+qoFNO9Q4%<JnJc&||N&QW5J6Co<7QG1ru+gWD%giiQFs>dfWqOsjHZ
zLNERA6&`g^w0T+{?#qP4dtKqc^E_xNn-R?%uLcg!IOD`dn6WI8;(G8KFVch=wtQw#
zgW^Y`bCNzRcu;uJqSv1vPe+zLFTSb@)pKW+-zu`<m2cgy%G(4{Rp(kvqoyjz?`p3q
zXX8L(s@e4Rq!3or<)n6eRDt4SeU{HTxNvukK-=y?5i}F33A&%70<&kG-!7<gqn#w<
zxb^Hd?7DrxIVDg9#Q&=tJLk!R|GsQw>ZwRz;~km=!DA}$<JznCwimp(5;vu-(;<m7
z&5^Bor&Zu!?NXJ68b5aKg4LJY(pb|}9ep5O1;X==_?y-Wp#05PH5(rpykl}8Z~Kr6
zGzLeyk9Y{-)k?LU+@rD>!yV=9xLp-25`cb|EP}d=A=xia$fM}Xn-%a`6|5|qd4?pm
zq3z+X4>Z>lkl~^)RkBzOT*H?Gf>gxO$h5#<_>K}DmjCn4rBEHZp7-vbQI^E~OT16k
ztW{9=fmDRwXAOAqhA$*xrxgB7-`}LTtcpV>Ni-u5H9_O8Mm%k#G|mpa9uvKzj-SVG
zR?{bIL76p=J$sD|zDqsp)heusrB!88w^B(UdF^jV)L&UNb+WvcKA?&Brd|cqRFi>2
zY1rA&Odhq4lC58!*TUTAQCu!e+R#%%|CcLX0S$}1Xrh=%sK#|5a3WL(TH7N78XFYR
zvsY8V?lcK|RRuo{v+03LckvJQIVCjPGIgXgmxRI(f5nB?=)<)~K3(r<RdBWW+;+#!
z`_!&oIXBN4LfzhD0inNDFsLTZ^u;j}YFF5CRhk*Ykt`Ys=_XZ7e39=WKB<MBishsF
zj0DU+EPCg8SPf@WxX)H9Y2o8p!Ys!HfO7JH(wBNQ9Nqa^!$DmWm40sf{!GRc{_~hN
zuOC&zo1t7!IDf05<=op_d3~m^$X6q<uTc#TbPkpd=&0any!z^zrx{3`?Q@EARm1v|
zoU#epia3#er_JfT8Qk*9o0zUq#gkHt_vSd|kb0fnCr#NLChy;1Xn3cBwi20%eq&N-
zMd6zr+iwnE2iw;&smjQ;BltP@bunB{mE{{fVh)VIoQ&FnmC)gGPoW)E5Njp8&F@;9
z!?7ljqR%Xf=wYk%v+x)Xemxzu<FKGPyrp5H{)&;u{Cp`=p&lzXu%`wMcALSLO#kfF
zZ?bs&uHxDL8CvX8XEOU8WCoQbg2(pT$Y2b3ZQOhHn`-4Gw%?W83}}>oj-M))!sOdl
zl$o<r)Ysn%XVvbS0(1R;;U3(Q_{P<tq{_XGdgeU;tsxCl5EpuL+L1#HNztQ&Tg`fi
z69>LIDAWM>&*V+Uii@Dc)Rn=K3uA;pujd@e0${4+LgTEHAohLk{oC&{Lu`*Nq-D$@
z0QYMp{cPsLBf&eKp4dN6EN?7#nb(-Ws!sjof9^bJs!w_Pdg&)o>}OEm^WGSG=e8}4
zYjI(B-F(xXmIb0;^johboiUtta`@ry$%aaWmwPo97l=b{DRe?4BOpd)9uIag<8j7Q
z-VMbIMAS+5sW}fr@I80Fwe<=E(ke{I4KXbccZ(v;?%gwhumfi&n#yP~xUg^En9@&z
zu9Z$=c~T$p{z#0}ZrgOhpf-I<Zl3UQ>kiG((g(&q7t82}YgE>|!892nbHwj^m;98Y
z^}yKgOGI+<Z)$wJzuesL3^6aMA$xp47slDtCGN^BQlqT=6jbuQ5z|*kBo;Jv!Ir&z
zRh#1{^_-&bYt8UULegPHHYrU9Ji4}b-mdvhExtONdNJrL!CCC}^82DTw2a;HI>I_d
z{lohGvdQ%^qQw5U_xr=zFfzHK)bnSI`bwHbs`Se!v1|NHlhi8;P<cpFP5z&$H0viM
z_+35|55_J^r5RCRp8j_B$&O*FaAAJ%9@>vYIhE*HdqRfiQtTb+k^R&Rn>d!`qW8p%
ztL|<S6*AmkF#Z}l^M>jzozYoXI7ECCSt_Lzk)YjGrrLM1gBqAxe061YkdRsMo2^$Q
zfz&g<^OLkq)cTC@n91w`LUMa)8ug(TK+o9_IocX(W1zCXeri8a>71=BO3?z!dy4#@
zl`^W7M%{94TOV<F;wDRVy(UzjXL>6<c!L^8pYS!<V)Oo@{P%f#O{l!3BHL{rMMzII
zKO5N6M+|RSTP&&3fX0Tz0JpFCM8o#MyLEqi2}$X=6Z^iX1L@Eb-%HKM#PyiDzFblt
z(Q$g@>?=-n$SYcXXXy2maLCVVO3Ujbf{%ACPnoGf^QgM5py><Z)|$GrxphC`bU!#M
zK1>x3H_LT>`-Vhj;%##g`2k|ql94&`xe9!&U~B!A-9+?Wk&II?93<EjW|zwTD#Iha
zL`@a@R>E?1(M~Jj9pRW_%e!cy4BhsY!9xGqi5ok=msW8M6Q@RQ#;ILV0=f52-{M}p
zBKo7A{hoXCo-nvUeq%VU2!Ddl$Ue>JB2J#FW*X`lA<P?t-qRQ=!t154hOgS*5NV~r
zd7I@kA%44ki`z8?FuFng6Xf!ixScjt|7O=H(K#_8ZL%y6YCAW+S+MjGZ(~!q&1=69
z9~qtMqn+hJM@Ho@d8nWGTXN#3gu^&d+9@T#+aw2v8m$<8Uk?(8#C5K4@k|icuaR6n
zXvjgT*9POs??VKN|EM=-m?HdcU;f&WD+@$K_KA0fABaCzu2muG(}ZhY+_{(hvf#K{
z7xAm%Bhfp>|A_VKcVcoz`d)X643Nt*PdsV-OfaT1>(cB0AP#c*h;^~bz*&RjpbD!m
zM6$=$r&oA?5~0Jk2kVoi!E?ecczJ$|NDNa{j4EFsRA}R*?{G_lAUWrJZ_8K0VVpzy
z!udtwP_drhnOjoeG4{Zl_vIv!+paObFLascILPlpQILZ90zb2Vw9~}nkm)Y1k`<y?
zTEU*aS`wBtiqD=1`cAlqddvS5S|g^(f>De1l2HFWD6L-k2cdH+oSC!ZA5ke1eScS{
z1e|RbY|PyJZ%i$}@rXMOw5yLTW-&>CS5EHPj^_)6@jI1~RYqD+Ah*Wb+lzy(=hCcG
z@*+`ez(3qPL<el~y*&(BVqo&=M6h_;GI5+E&^hZP0~FJz9lo`=4PIX8ed70Wh3Kv$
z-G48_3_)p?ZG6t#;OjD<f{E!G5yKg(<dwk!eT=Z))F}#Ytqhr1*ZvWo)N1;l?`DU#
zb8%9(J4In`K{e<?Bn<?!950<x<$}P*wyR~IMS!C2%ATrB3p06=m*j`J;rm<8u7G$E
zkdVJpzd}n7fA+*ol~(eC?Q}}s6EhJAunfBw%FYO7T~bWL$PaD<s@EvOB0$3`HKw_X
z891!&su6TTz>%B7dzV85yw&b;-FwXf!*qGXjVKYgsQPxQNKph#j-Mjeq_6`ez^J3x
zSPX<i@5d{7ivTNI5c!}z7pRKsyCq3T0xgqIN64fIJQch7iuMmTkU9;8(wn7#V}0V_
z&1_L9JGcDr;Tv99$+$OPk}3nViTyhwa<;)*zXWs606#qX41p{$a!``RU2V4_1}mT6
zjV!SX!F`7LZHrk7;1#@hDdo8Y*pGfK_6rq(mWvn8xPMTB&#;4Cb4?QHBnq-gqGDik
z%+)spRKaC*+Y7Cu(vaEu#?Ea~0%E@My_soLhlK++T@7NgP^_-Va41F!t}kU-<dkZ{
z&U4HGMF#SacA!*)MotDQO1+cLt!sfH$77A@7DWg!Vq<*rNfrXEE<QPCM+T>w9oqe`
zRKT#&nmAA<4;kK%zO5!uAkgRPr`rcK;MuZyQpY7l_?S5<y;h_R>5=?544-O&>h}MN
z&!15SyZ85O+-~W>PBoL-d`1dfTnpU`)~YbvpS8wls|z0c%Q)Ar>%g(*NiPj9b$HY9
zVtwYWF2u6kE}(JKhk?`L2LCEFpyr0KhIpnfd}J7Z@Op<4Ok_{_ccp1Ua<~xMbLhg)
zf>5I;HUy}=_Sr&`(SqNTznF3vbs&d%4;PQ9DGYaY-?B^40?*SmqjnJ#VA*T4&Kzn6
ztox1~y<M#Zck_6XWur(?|Ee}ywagp>Rz0Vt%Cvwf|4mf7lqQITrY5eHSilbDy<2{G
zYQg&8FI3o~0uQh6Jp0eX61?AB3u~U#1pAbDMyn_}z;JG|%!noU7R`9JX=s9`SqjrW
zCP`TMbZCssW(6-Y?u1#Ssl$y+(H{pM@Iz{S|2OiQC0yC%_wirA=FZ>}v=sMdhK#9{
zJ2aJ+P%(h|3KGgtxsh-!=h_cqHTZefB{NGf9*dxO6)3<|tG>FP>=aevn*E4)g$2}c
z+8&k>lLOz1>$_7AZ$aUd-S;@TEg<dMQN|q^(r`5IxsjI{3$9g|o%(#j94fQDoWBZ7
z!T~X+s_PM4Sn{pW^+&ZC<a*1eMEHrq!J*ur#`8RQJnqJ91g9Ci<y=d*{3!r^LQe0?
zbNNu=gtO%88B>^Ji5)bl<AJbB*XM@S{1~^8?6<cUfccPE>ZdApD9h>)_~0yny}i;2
zC(Qxk9@|}VxWNbu_au$a7Yg9G$uZ16M}W53H=Ab?G*C8Y?mGBP0G)YdN8F=L;AyPs
z`3p&l#OLpe!JWARNC>P|_1!cE9@DkjC-mcl`a>(RHGcv8Wu9dn+Gqrii=~R~p5zgl
z6_1LK84BR@i%~{xe+<E%wx)u<>=Shd%XscqdI9{<R$XmtVhG1u_ZB1l532eTrlq((
zeoVF7xKx#50N<u{nra=Ese$YtZ^xDMV^%5)>*P0m80ly_Rp9fNdM$nW9XX#L$7(ov
z=XUBt%`0(o<{AxN6ckNLFW|=|UdCXiIz2cy(t2_uf(}D8cs|uO@Z-Vbq<go>dZ72?
zy=_@11FrT2mdh^j<0*e~w05~J^v!7;44h*^w?p|%R8s+*H;XY&(9;E}i^<`KXSbq*
z@oJ1zkpS)-><)Bq)d2=B`~Ql2STXlOQ+BSRAhJZ#j6QJDfoVPt#*g{zXj>mU@7^Sc
z_CNS;o?OueuAsrBP7hAB<;c5oDntmQ_YJN;ysZtfRh<^Qu5zIq&CZMY+l4VQ_>OXk
zwKjas3@-Nd=f-fJ?^RzkMR2)zx-ai91)h`{oonCAgSVos|4frb(fTXLo$+c4?Bwnr
zNz>=WOD6lT9CO%)F;N%NhR#z!Md{FVlN=wiRSf9%$BAJ@-{ZF{b`)r^<gpSL;m6vT
zzmwU$;`nwCpJ}HI1<rN+@st!2K%0)ww*PID#APqvnK=dun0q+w=a3S_OmC+XHp7y*
zr<kh6_KOUC9&>kRwS};R!~Ai2z7(b;3hn(kLk4e6@Aha%VeG!q)aLk~G=`0C)l&UQ
zh9I5&=dI#JP<d$Qi2F_%EFd4<tlSg`<xk(|*(i#gF2Oyr8nRg9|LRGUECp(hOGehR
zilJTmS-NL@a_GMD^Mb}c3QV4qUw!N@jzvAw=}mv-@C7;IOV(8id^!0((6&he|44gr
zMvlv))sSq@xiJddq${tBzb=VhbPQ|R?Fv{gYcAwwp$*cJ95!LQrSSTd9eMljE23ca
z`eNBrZFukVrBa7O8l&R2?%5Zlgz-ATHxmqWfbr?2hhm-5s95`sX+TFApT5potM1l;
z3u!vzW{EP$`!p=4a#R`lUbB4857dRB;uC5f=CY_>85(fOZ*#wYzI;JdMGu6O?j8O2
zTNb@uT3;Cbtb*3k!X0IEdf-#SCPKa^hwogIwS1LT@v48S)VDf)h<=klzHT9p6;XCG
z?l!8}U9x}pZ>9lUpx#NL49a7no||crzADZ#&a3$c7y?t7ierwW0!D2sxx8~l1qC&-
zC^mbHz*Zp3PpU})86z8`+GAC4>+cUOg6hWL%9C|`P(Ts+4hp1`J}9H8_{%jitqGL2
zT1pr@C}O~uFx4<RWt<(ZvisIy0(G6O8@tacVt&fC*)#tXkxAU`P-PSW$~3)?s?R8*
z>zy99%x(qLz9KCJ+yL2Zqs`qr6jA3RQw&42Jf5<b5BsqnAo#LL5^`<sYGDQG-@<Z8
zNl^(Gy$s;k;%gD}Q~|GDV~N{$R|dWNqHfMt0rZUx+4q0~sxbuB=*vrEbnj_Vkv9NT
zTE;Pva(Ub%7%37|B8d`vx;5(G19a~)2y$hY$4dj_iuys~$h*ff*l!5nzc-7f90%l3
zPlqIXuv!$4Db{kxz68h*k@6o&mBokv<S0=TMpl`E2P}^O9u>Ue%&(W(#G(3EL$?4H
z9y;@1d?LW0;XtPHgfuQtZqXj8;6q*e95xOYfKsqLDb6B|d2dp9?hf!^&x4`}VL1Td
ze(uyUH7T?^uI}Pxz>R+lzMhkPO8{Tno!F#(lBmf-W4*hU6Im^LrBfXUNK9ytyu3vM
z4|%!CJqu&Uzk*|VU2P`tm|^{5-6=6#O0tZfDr3bnPpvB!^-Z8L{J=l2ucG*l)gso{
zo(0DuY6RMgjG-qdUiwO~2=4Lf$WpS~impD6b8Y;_u=qA1J5X8}c^fY7X~|>87#1;F
zQj8JkX>kufo)p9f61;Pi?aWy7L^Y4)haof!$W7R{3t;Cbg_b1}Gdh^um6AJb2$NYQ
zrv{q&u}e9($Ko(Ej)x^#tG+e>$DyfH0V8}kQXAi8Ol8J)MHblygaJG^`^vMz&4(5b
zVx_0|Y{ly*j0HHW^x?|-j+sC1ycl79^Sn7P3)Zc~Ek9G!hnCe1;n7YWB);1vs{Lg_
znKcpHU&VTmp5~DLdp8gArHJ^SVqwGkf#dfXl=VRF#RY+&d2Zz0W*ru1$c~Bc7x$@^
z=|b>RNlI!VH!}VjwRm}%16$%7j^5YNg`*XT+95&Qs1<B@j+cfD&FZZbi<)%6vMYYC
z?;&nfGv$rv=-@(spbPceuLHiiOvbGTxlyyskTQ_RjlmP7MEI@^Hw42JK6r5>%XnL7
z&Ltjnha34$3EFUBW3z5w;l_=Bk8L|+d9n7_mue<uZP2LN=rHZ#M)n<@9Um|AVJUa~
z^qn3G9HZ+?dMVC>0i6Y({EPXqrM_@EB$5I$BAI97VtH`Efw6!zD1h$U3m(!?D3D@h
zlVJ0g2Mb17v^oWakZQ7jfAJ48*tOZo(<bub-z`p(6Q_ld$>kvTQaKrF6CYhHQR2fz
zZNCMcJ`s$g$&(I@AOrJ+U+K<|e0Vu{zP54Gk&mR8T(9<!LE?y$;NMMOb!ZsJNMFQo
zMfg@)u_hVFLVKNBVg>MOQC+M{f&^aC6yoR?BEzzCibvIdf>>ir7Cf6LiRQF+Wio7J
z=rphnYzq~_Y4|pNCP4}xwhgC;vy$OR)-JOTSA_Ay<>{8N5NWLZ{*G@zkPJ++2Gylh
z5qu|Ya{G#}460AW)sRSJsJ57D!VOXU@nrOdg^w)GwugA!b|J&)p2Rcz_lTiVV|8hn
zzZ`N8l48X&$)Nnj)@J`xag5+;H1G(K$Auz^>(4%s!KdZW9!Y*l+;OBq$>+QRo^CB*
zb~K`ZYLNX|_5n%sytzwEK0*<vkF?!wDxpAxN%e`6+fwMfveIL|>4MW!#^KBA+F-AB
zX4g><X}l3VZ#LwnjQ8B4##frP;grI(fhk1>|FT{TIi#n8j59{Zzj*5a^Ej3D4~;B3
zZw>g{u&jbst7;F5RCJ;KiNN~sOIfsWBIOihs-oNE>rn1hUGPkLukay74qY$z9Zcd-
z!;kMSy(YiYgA>kQ40CMcaX!-jyo`$)ifLN6cr@vQWkq3b+;4fbth%gK5vYb~qb7Dx
zZ2<Y7sp0Jz3fOA1E*t8khN0n(^XcV=;IHOha#KtZEACnUCrYP=jnDQBCYBmOf~i}+
zU5X;UF^j2X^Hasr{w2wQyT;HpU2GLGrig9dx8{AgtAf|#%*dZoO`zqc-`yP|N@&cs
zQ_&+^83SjS3OLRXaDQ*h{RmAZlwv*?`tF1hQiM6^Q-uM}lK)-1FRO%Rg)d?ww<uy_
z*U(#%@1_f$zm3h76*0;|_pt9dc|0kUWXW9((D}*0t!vY1*`1LG)`vG;UD#;r{{gUN
z_<Y?9iXv9kjf{w@%V3<*{lYc@QxNdm=Hhu@0qLtqQsog+_-^Q(K&PrH$V}aTv9v0W
z#kyo##xe;ESQ5PNLNbNUtyCo?eR;faDC4ee)HXEP``q@dqA5h2k(AUqE{D3~|DM>#
z3S(5ZqoXsIDYT84dL>86;>|SA&<BkIxOjt~hdKkm>6pV-ctr+Nv|mYhTk+v<34;=s
z7XT0Bbb>!;Z+fvhHfF%fgBP>Dd91_&SR2x~>@1c-krT8HrOI45wr^v8rv<>tIk%$)
zRg$PW`+l%ikR8dKE8BnlBVgiG;MRjF5-8X1HQVpOf_6;F4Lx22WVsa8?r0E0y5^BI
zUgOQ&PC0s@w#NkCeE9kjnYZDRS@Z+e%ZxY@!A9w!m;hD2PivQ_2(q7Z^Kr9h!076$
z?*}uDfxccrsr-u&`h@Rp2=JlDWU+N`V%Z4HnCV^nLIsgSPAuW)G#wh8;WtxvGy*$b
z!}1w*0qpM~4v{PAaN|*yQSx&`NXykco<YlxrlVJTV;bmC*U*NUL);MLM>15uFY;mr
z@0}Q6p+{Gvy5mHg0lYc<o#i0|FOJ+wsa%Su$10y7>*OE$@Wt~5FHm@pM^t6U0WAi!
zIa69@eOMoMI1_CjBDpcwtN5HQJtO+8I|)7O(gVrT+`9Bhu1yE$*CW;#aeZ9qBfEtj
za3zQ5J9%+o>ne2%2Ol%`ovRNItJ4M6`fWEAn7Hs1!JbpR>Eqr<msykzb>ZY<iuZUZ
zCth$k-1H@v1+iI_)~s$b|I@m2LijmRhyV4lbsjdf`^l92-F&kjevrJb`-uZ}9v4@A
z%wxx975CHoyR~7}bob5k{T#^7vFqvV4o=(?_~F4r*UkJ7ZY%$|%z<1_f)nYJxv<a3
zUq*3>0{bq=N2-`{;?aJef@e|OcvWot2Yng^nn{6m0Z%!R<A&zsKpYQpbW46n(4@dn
zghY6(5*NNow`$man-^>TdcLO{Bm?Jt^V;W0T&SPFy@H{I4;wW0B=^LU;i5_OtA;Jy
zxP8M<Pk4&}zWBw}<*ZAF#*C{yx0ATB!>(&<%5FiFmP<G(xIlt?5p`QnDDj|q;5G}-
zXF@30C|8+UNdgxqetz5cJm_`f@Wyqr2<l(ZcRvzIf>n=0&dGVaD5=-@e!5i@Z-=~M
zBJCvs$N7&3gTwhyXut24H9s-5RL*<YrAY$8zOY8;GyK^5NQ6^VTLKUAl+SVqli+VF
zRVl_#055C*F_K7-MBm^372|9qND<3pQArj=b19ou?`SCu3HdJT#7=_2f3ZJ9UI?ML
z7<=bToHQn|+)hpsC4sMsWV{Eh2)c7>oVcGMgCb82+spJwa9AtQrsl9H5*bG&^d8D0
za{y-t{Yerq+~c19_Iev84_=6T_Hr|KzdyJ>c#j00LrxUVJ>oc|Vl8-MRvv?;HBEh%
zNifA?J@jfy0{J(#i{Ii_L{{~yJoJai;JLf7U8r3W11)-Mo|2UC(SpN`hXZ8LI@oB|
zx4D-#u7nlx*el~>>2;><9uyF>YbMXcNMmla;GI8?Dp(dU&3S}F8>R>=5sQ;DxVG0Z
zX=0Zu(%sBW-`c4SBU-^Z4z{v*)WMnYj;b2kaJD9O=IDTw_6x_Ys&bfOmZx}dLJcop
z`|9PNpbOu(Tuk}FB#$>Pvgq*ysw39FVf_)S2YsE4YXZaas9p5Ped3Ke4qS+Bu}sy6
zw~rFG>Srt93CHE?OAG4wJ>W}5c!2@D2rC$QyGs#+FJ_<l(5sHB=e9q|Z8n4-<Be83
zr#JV)v+<n)zUtV2{tNf$m=Un-ceqYDrGz4Wy#{KnYB=?@Dz4$5F`PV!EuQV0j?y<b
zXZNe3^9%9$6RZRrjVvlXPOpqfP2E-p@>S5q%A{n47GQe??Uw&Ul(FXpZRsdU8Fx5_
zX@vv;<oe0=PB1Iup<uC;lr%*=a(;E(y$`^(tMjXNw-TDR3n@*s%H!_=!;T0UQ|N9P
z5##e#!v6sP0RR6Cmv=bU4;RMmz4zXGK99Y>=RuJ|8A(yul0-@<kw}A<QC6hFuSqgq
z#rGIRLW@wc(@^#(^X=broj=ZXuIs)(_kH%$mCl(FCG7jUTHvye2HsM61tH(maA!zG
zqW7!<^2h|LXs6JipZmZ=!b%P6_}@&YGsxrXyF%@1xish_b?Glgsp8LfOZUDIG8ogJ
zE-IEsgSF8MQL7m$I8gOsP4S)t9*f?8AmAbmt_Jr=KD()m+a47DSalP{fB<fvpCL2|
z9gSI2$X3F-r>as-+l0`v;ZH`h1r0*t%AHfrD`L<d+Mr=JKgOMIexSuj1I@@@+qI(#
z=sOp=UUPy6r;GHiyCOiLScHk*et8_f{K0F>F%HxT%$>E10+7EGZsg=FhyH~R%dNy&
z@kds-;g|{lLu?k$i;FU-pRwF?)|&}cUJL#{UqS%0#9-fxG${<WlY3@w$bc2~_di}-
zwSp?cd>7~cB(OZC_ow_dI@Ds^^NZEl3X-4F_Wc?b!_FpuH`lgx5^^FqUldw`gZ;}v
zDKk-AH(#P0Cf3L&9`&Wla~9Cz@woF?g)k1qy*n@#v`Ws-hSnO}S%89l@_3Vz5K1s{
z_IqlqlEx{FA<g;b;AUKXT!%{#SGxtXEW=mH_)Ct-dzZ}M*G5(2t_gk|IQ80ZL3xc_
z{k=v0u$vhKn|*keFu{jI!Aze=%+|?M!Y-CjX$tHo8ZvS?`S7&wOsV~?4bo@$d<3(E
zDSWzcBKchg4+<?63GtNB;ha=|&q$&PjBA{jmviLC&7T#90`llFp`j>zcFGvMeP5=!
zTXG?H2eV|tLk7%r@!MkWV+<@g)oXWrInnsl#B-fqM!ds*{J({dM$pW!`ekn|2VUO!
zc|bvu8JXKMPjl`t0<{?>wsjf@`dG7hzdgo+s+0tmyf=oB)9cu3xWtZOS|?cDzO&++
z3(Qq@E{1Tp<9WbJ4?8lrf4t}w$&UPIwmdxl$pGx9Zq=ubu%nGDl~qKH6Zf%9zL5<w
z00T?8gGYrquvYpgqgXE&e${M_DE^}lA;q5tFCON=SGH@3?v*^KTm9k9*30^!z;xx;
z$`l8t9+}?3>dA-3Cu(-sY3jp)-`@tzvpCTwX<La;Fh4eTI{f(5t_N@+=p?T%7ruVZ
zt0s6s0H;>hue%-9gG{FAnKQ23*ddZ7e2x^v!3;rJJ_SAaFtxXSB7_H-R^<+wa0ufq
z5u-2BAE^+KTbtQe%8MJuB@G1!MbMmaUmxc+Dx9CzVCGKY!%&yH8vU=LxKKZ~=;=;{
z8)2`1bUX6nrTshIcSVcio3)B99P(7y_E1M_kGcR-o1RzgP?5ykimKTD1qxJ2PjC_v
zg6Pxfazt-h3KzL$74LUZfPOX6SW{jIL%(+Sz4$1DTFoPW4%Jg&n|w20tCcWD#Qc0}
zc1R9i>`BQoe@cPd?Q|>Uks_!r4lWsS@;DmWlkQMWfhLQ2mrxYN#W8v>-aG{i-PUz+
zrj-KAr6~_~D2rp@D~T6FEsA*hkNc&&KPhnd0?$%Hkp#*=X%+t8h7$TzIqzPSrb6CR
zH`5klDYPvVdssqK!N7Um+!TK**xkMRzvMA#Y!gWOv~oceGs_>^upku->kDpWl*r<K
z!_;lcy=wS$e;cp3o*pFL>$AN|%Au%hmwuL#2L75i*WdbF51M}V{I-88k7nBzF5e5$
z#L~v=A=CTx;j!BNZjCYpoX$6K&AzRLj+yjy3^E2_``Ur{UZ#l0O<b*xwP>TFnkUP`
zq5*^%(OKqIDB<k1rL}E`4n9os6~Fk?5H>@5MdMRte4TM2#^Am#8pKle7cLnAWImlY
zDpSGeYM01ZO$uJrF4?vsX#x`Nd7T!wRB^>p^0kB?1=sJ+1u40if-iefZ&soje!So%
zQgWPv=es1BoN~=z&-ys$11ELtJ>XkJA3(wEQ=4|VO_)Q&T=B8G4RyRg#K&o?QBZ>K
zE&0X567&t+x;3t7U__@8^MQC><mh!`FHEt5jjXV9jmsLy8s`3W-a`i^o|JuRYb3zE
zu0Bh|TocQW&gXp|(8AXer8`@X0PKu8bgk1-6GP?F^8}?e@o`StnV~s=29Djoeo-`W
zXG_$VO|t6vCE;v3#fJu-S_1FaM>TLkjLVa5K?U#o)(eZ)(BN}s<U8G94b(aJ<J^tM
zO4uUEy12YZgQT{89xGJG^~r^Z(ftZ&c6UhHTiO~lCf+M;pH{<DkA=IZ#N}|OxKvAr
zrZx26_3kfUQ$^+85u3gbl4yR%=|iicHQ2rMUW%Vo!Lpln#g(<9Xd^vom%wTbhyJO2
z+bd<<<9G18{)!;7(*Iq{@1uc>vd6KP8A|x=l~Z8eEj~<ki95=iPlF{}6YXFRMYJ9~
zchD}F6HjH9PvyDMAl_`>w27z!-jr|@JQBo$3337c3jcU?TPBPrzfTUM+61o4n=xS6
zo{b6a`v5tslYJ4JW$`R$StC=)8kwlvXLQ;LfVb+>kCrJZ6bnv0Z@uXc$*fU3erAAx
z+gDvmc2r8>{U=6`lhx))I;V-=XlVktqRZ<Ga>da4(dmbcYBQwdYg+|TFDp=YSsfU<
zD}riyb6X89C&_2Lt%Iz2mY~r1s*dZU5MKN=RW$T!f_!|=H#&a60<1E|I|Z}_F}rfv
zv8&=Ixi|kkzq^tJtS8VLvft;&^p*myjryPDwao>cqG9IXq2e9w>CA@%oAylYsh%J$
zFJv*xKQ{v%GUeNQDi6kPpCE?9f0MloF($Wp%pmMWut_`@7haS2IVsXIMUHWZPE`h&
zf`(&8o~<Sao^H=k-sChxjwc*@x3|Frp8bC7?tg&|>$P~bIDXHP@F@An4S5p~Y*5JD
zP-evuUxj4B>UlD5lK^;}HHK|2?m=eD%;>#$nun`+k$ie*hB0l*2oyL;B@aesto7_%
zdsg{}wBs;!)ATli4_8}5Ut2Q$<C7G_^U-CJ>Gvw3{Esj4k6u1@E@nh0w^}Myca0o4
z6BiY}$q?8U=uLl`GUD5$Il5~%Hpm9aYB3fx0LjM1^u+}RREaylUdu<1Rre}9N39H?
zN>GYNqn819FBhv*0~xR}w}FkLQ6Ibv{;p&WFyMo9gKgfOjQBI{q4?=7`e4)H;Z(}X
zh}&1k=j^vKqpSRyse88`nEF&tXt*$9LnfDz^B@bJIh=heJ3tSZwX`*@>liV=kjgEX
z#)cU~jQYXLROmD>stK`YLb)Z4glG>A)PLCaZZw?=Y;RtO9G_#tI=z0O0vZ=SI$*4A
zqDO_L3>-?WXU6wl<{SM^JgB!Z)|uN)f#gH({qpx%Fu>N-)SJeKUXMRy>^Mb%1bXHE
zKUJ(qv(_?<3g^eZnwV?%v?!p`SG-?loDF3kH;I%~37~nv+;P4}U7%8;yT(j7a8x1E
z{g<#1N=@Z7)EVo7gtd<LP#Gs~4AyyUy&{ZdPJd>@pXoq*4du>|GdGIUG5WNrieh)b
zo2!SNbU+~TvcfM>UR3mq&I=e2L&dw-vyEr9;r!yRshng!Ty$>@qpOlY=8+F0XG^s~
zm2UqF_AGw9eEFrIOPLhr4;YX5Mrwn@lvl~|dI1cJ7eCP6DT9YP$HL{@wV`T}`JDuv
z5KgO#eXu+)hqTQH6%KCKh6$0;B^fVay!kTe<7AyY4!LPZYz@{1hL9!ytPdi%=^)!X
z4`xODowMbcMxiz=Z*Nr#3KGM@<ZCXydzJ9ybH9=gEC2QzYb*7|Bv9yON{rS&zhP9k
z$bTqa2j;kZ46Vi`@l9`aqqVgvatEFgKcuS*jax-|H@}m{%2t~<TrFxC5kXf5Y!q1i
zIOM&rR~C!5-ss=vs)1p1MQ5I-Qy@x6!G2^_4kuJArTm69G3B|I|6U6!JZOJ?eTVoz
z?nXK=$%Sa+ZNBBs?M!;G+qPxq2%(69`;=#k#&mFB$Y>4qw;sGJ9L<XlRYH>^a86Z`
zf>#(V3s;u(LALs{)t5YFEd6S38__^P+7HY36-tKiW?SYYSGx*|_iL5z-Au(v-Pe=i
zM~t9?>0bEVc~u;G)wWuGkBWIU4II0^7{l{(wpHGI>S(=(x<~OF74K&zovrsVg~`V}
zx3$DHkfhz$9-pV;_bUEB*?-KyBU6$!kx3H|hv$enbW(A8dZ(s-wgoKiQ+3bj(8LbU
z!rQ@zsaPyReZgvK1wUlDMt&aD!o940Q>`B<Shf4>4%>DD?8P6vDCpI~T3Z{3FU%AS
z&j^wvZUdC0+84?4Xru3ZRN6@f9n=gsYxTyF2Dhvak0!He<5l^>NU2+zxEhlb5kB;<
zr_6FA!%Ho6{XHDKx}t{L<IKv3c3Q)M)~cNXc3L?2TiJ<DQw5z0N^b3XWDVCHmUB*D
z`p3<lM<37HDWZDA)Qj4$*5LPca};q)1Np>!o$N#8(E9q-hga6D;Xzn?5#3pJZ0$U~
z-tQub^>ZGceM{DGk=f0!$yN=|mgIRj>xf|bz<BM`9&5ne)7>`XDyX1+wdC<>e&nd$
zqPSLQ4F$Z#wGolZnDbq}ruZ2LK8}$a9`vvV?I&v`3-gLtMT-i|%wWX#7Cf_wbk;Dd
zAGh9lL;;%~Nmz(Wu8_8sH!bic4Xp08ec+jw!<oR8C!zW?<ab(y(qBUw>`>>k*taHw
z?dBpGwU<W7I;C%K=w1PEi9C(v(v`w66;7Th?pGw=#;Ye{y8&uTR1z;GiDRA$nRX+p
zny}Zq@N=%408Mt@I73EJ>?@oaHe7yB<hLID(f-#8+=v|=M;`s_I|A8?j*mVQPNRB8
zvGP{180q_5>YM<QV>6$h`3({0ZM7z(oGf8^_+87>D}2b^V_$jf)G(16zTIG7f(6vi
z&N_Qs=0>4{XU!8)!^G9?wpAH5=1}f-dYJg<j}J@lr#D_1B7*u;$GaBIz~oA<g61(+
ze4JtRv50Mec<{OLEU)>$xeeEv!x$4<Y((%`ZS)c0veZe*WK-BZTgAV%fC2SG_PpnH
z?k1S!D(RZLOu$0vZ{gKKI-DP9csxLTONfXo*1T3X0fpUJl=0>@GHQ(ClV9?JVB^{>
zuz1E8Dz^!ARn#w&5%WTP(mN}OQX*1>ZPW;A#RQsL75|V4CzXW?CWFZ!RyfnP*$6Zg
zBn{?&EReRfZCj$+tH?8(%`!M18$#ZrP4bnj^W*?aa>^5jm*l;6PW>E7Ly%UQKfdkg
zEcwh?H}YN5Te4w<=dE+90YvruN`0w1LwYUSc?`VkCKC?Oak0=Ffbg3ulWP*w<n|k;
z&O&^jN!w2aPPsAqVB0d7sCRjiY=72y?Ulk18F+7Q&&+}z=*FP}=l0*Ef%P6q%eoOV
zY^Zbg*D*bCI6i%{KkOGd|LZ?XE3dEQ)zAa6$No~`YYxlzz|jfvg3YN}JLd1C+Inll
z(F7{I_%+i`7Eh3llS_X*|K*LS`r&sUIjF!iBh_nBF+oQBc|Z9z?Kc@_v+w=+8x-gt
zoom>~^ow*mf7aF4a+)mqT|#$CodW(IHoKa#evzH!H3s4@XUNx=Ln5}G(1jD1#%(x)
zf0H>^&&GZCpChN8x64larvuUd3m<+HHAz-S6catt3*=Gd8M;>k+7LE;C@{Biimcrd
zX{ffaNG91F_2?DXhKf|-XFu;wlbih2XZKJ2A@4o1+$FF_3wkI|B!|w=kaEE(NiO^=
z<XsO}rsGALKv!<RWO8YiyuRYSLvjBa*%RAfz%#7@$<$ts15fA3>n#B@p2HjDwWup&
z-)%JDqVJvXZR_*o0iUCXk2=z0nGJ7~!cBEhkol3S7Pd$->hyc(zhXcQ<}%5#bv1bV
zpiS@*%OCRn-B(cs!Aw{!mZ<0-s0MSJ#ROK{{*ov4(q+tbSTOd^DRQDq6>5g|eZF14
zLKekRlHz69P&?fJQ?G+6XvA7pJ^Z>xHds`fytU-O7&_9ws8t1Y6n3#YE70NiwQ~bM
zu5e-hjV|dgPAZVNq?l+KPLI4gS^i(8c=6>xpgnCs8C*`jd>cH-fYGf-&*jbWp{KIs
zk@DlpFs+>C|K$i17KtC$`5Y^NPnr)Ox0X_dhC8v_r?gqnP`JL7rYeLhbVsIaJCs0!
z$7jJzhz%tad_J(O3gg$vRJHA?N+9!bX6?2*2VT!RS{A!1ig&Dwd!6<ufhKe5=#C>?
z$n3s#V?k2_lkT{ur&%b$w&=!%(pesSnz2DNrb*%8<+{~2JtgSl_p&SK;lsiXzIRJX
zvbfRHkg$cO1Yyb7{rq+c;8nGfQq^TS?1+!#8ab#0w_F>VR+j`Z>x}HNnNte*Yc-`;
zq*@8S9KNbkRWFQ}RlNHS$t$6#Ow$u3HDxI0FI#!^Kos{YLE4#NW!!r!&z0|mGHkW%
z{9N56j!GukpjNMnV!4Oq9%QJ%%HxG<C1xqSZ=Ar%Q>l(kDNoI=-c$v=OjciwkU{s$
zorbhVP4tl;on@L(gSa<b-?k;mVc&YEV$Gm7R++K3HY94mdg1jot1)@J@GH#y5Ca9h
zxgPmvhiQRbg8s(9PDPBWpwDF%q++G}Ud^#89XR<|V%Vim3G+vi)8r-eFuzJ_-m{zn
zx%K<D9t=`J=iR3k5Ao>Z<_*bLKIVF$9G<2Zx}u8V=29YEWBPcYi}QitvOc`EsY@A2
zQ^#s?>EVVe26(<#Yc6QQ5RN&VkVzNTM81-|wFV|b+<m2BgNefgGK2(KuBK?Aw?o%>
zxV|Bd#5y(I+-3$w$BxII@6kr{Ut;wge1@3e&!cwxt_3*Ds5U$Q(ZTx)ZI?UJ4e;z@
zgG2x$0bM1jukZEiV&eW270cE7I3b{X{&*?C(i`tMEei_fzZYYBdrA+#E=3%B@r(vK
zQ`6-2{S<V~9g90Q{Vxwhl~#wBSwoiWu$jm%3MO758&!>UP~Nn{q5Px`EH(1pR*|RR
ziAYgqdo>M=rZhOx#BD+FkjLmov@U*Nx?b^oL>V1lZRn~e+JeK#c&W&49nAR>Dz+y}
z9yRAV-MFi5VdulKL}E${m*4g-<_$<-s)u0nbgeD;E||56Zqh{7HDM`nB|(&=>(4!t
zZVS6TDM73u>bNxaIjzKx4IR2D6595*z#;Q?Lg0`p<_p}D$;$mha`8WrVjs4FyJM8T
z4liY#cJ21H`~H@+_?uM48fXK_UcnCMHvh|eea~$gN4^unGOd>#2CN}2h@>?c%Hv0a
z7n^4O`%46P?>^Y#Yz^!$J}18qlEGUq`W^^=r-$;1mtCqP4Ho?Z1rx4FAcwP>n%{rS
z@NjAUd$%qPWRs4?vQ3L%^3;IvtsQJ|<I9tDr8@vVO$={|G(lX+m(-dP;Q)&3EBPd8
z0RF?dL0=B?;aT2U(O3;m(E3%E6>ds^-nXAS#Uwb<nk!Dtt(p^v!*#X-wpIYK>QWPf
z%=njw#;7sE2|GWrr1k8!ge9(-&{InExX#Q$m-vbkzL|VAvyHO=Pz^me(D0Yk**;Ob
z<t!%%d2jW*bI%-_5*%e3#b?Q!WS_e!TAa}6n8l_&Vg}<+qMWTyj*~px=qcRJ0bzx+
zdHjlIu(wMiMK7$2<YzdX?h?TPq2DC*uZEgJ;kCzg&A~Sai0p7}RptOXy78v9Iumd-
z%iOB3-%Yd|p1xBv%?|eO8jg@6Ch+J|!Hj#vC{b24yDO)M9jgBxv~`a%2H^l#QLV5E
zV)5*J=jj1<I1^~+?$&Pvg{?>82Y1a7+^;;NqS-j0+j!9-(B23xPU&lq59f)pnI@eV
z9{>JXoOQ~s)(~RY7Z#kFmxvwOxffJBIUsWFgzgKfA>htn75;n6gmc8*A=X2ju>Y>r
z<g-Txu!+&Z?9{<EA{V^|^9{M+Vcvn=BGi9*;OsXBE)F_Kc+4QqtIiGag<3>=jXvZ^
zU*ZK1dbn_Yt?{fq56Bit365;ihkR3cZu=qz5J&(<K)JuVQfimU3(t#>e+ur^1Hbnw
z)c;K}!Ux5KRIhV<pyy<F;8eICu<eWS{$j%nMQwM=jrZ~c;{hcGCmuaeyiIvuU&I1`
z9m8eB90kBcH`R&%2^DM?G}rX_*r5KW>CM0Hf^cS1<`KUa6+-I;q{l9^L)n0u&Qy#L
z7-czr`j3kWkLf;zdn$8+*!vJU*;--v`|jLlyJiY3O$FUs`@jVutq(_@i;BWo%?n!(
zpP>M;#^tJ5zyqIkiaF>q#9+2z_m^i56rk66?!&l=52m@UYl=}MU~@;K%$NiPZh3_k
zjBn+K@+99Lso#?D$Izob`iCyWty;NbfB;A`0?*&q(r`Pt*EI5pE>tF07cyoDLTdC|
z+Z`RUz|yFg`Td$M<lk$y;p`QHrTafFl>d=~a5hF4_cUFY53q3I(-#3S4eFbeRDd|i
zrn00vy6~o7E>F5x6ll&n<ocWyp{Dl>arLt<G(D;C*r1Aok>`ijL+MITS4e4|{&%P2
z>yy`XdL*Dx*e#pqt1=`Bmu6hvLxJbq|6{7jl!AokzZ|`-RpIlmaP{<mK5ty(z$<e|
z2DB@NT!c#1puVpqZ$X9%*qyy5p(6+We~E$tehsi1(L4O#T`Hv5ESycC$V1DP!#}C9
znvieXZ+FU054dz!yl55*5MZIUuKP&~1nv*6t}^R`kN>>D)_-^ZEX&HzRM!Fi%nWa{
z5q)6yOEVn}RD$7mS<2*IUD##&)bv)r0lfF)w!I#&3{EmGa)HJa5E$5ezjEFX#BVMV
z`k5*~H?}OgSWJOWv8Nll)r>*>YuIXIkt!6%x54iv3e1&;Xs#bKft6a@<F|^`AlS$0
zyPXmhO1S6Q^Lk97=8Y3q&Lwp?!{&PIstOg(?{i&=vNMNjX`6cK{TiSepXU;|Oo93I
zs!#QG7SJEi^(mE46J$-UU0%+kz#|pM`<tm&5Pzt0^R;YEh?isWNav=&|01u5%v>j6
z^wpa6g#}GGm%X*?d9Ds9nbIG>8wn77<c9KutQNfL+4NeqSqo%$4O`sipur9IXtg`S
zTEOE{68hgQ4Y0j*=w3o94SFX#76ZC9!N_<%KY5cHOvU-1e!f71V*5WQ+xBU~HKk7n
zYnznehjzF#yR9`eu!!AsuhszLXXBp_QWe2KI@CWr${JjAiaDKz)BzR-)va#Jf#afe
zm~)ynaQ_&0jvP`0FNwg~ryf$kAGA+b|AI9*@%`$~saJ&rp$(>-N>MmUUMH^~wg&37
z=w3)vfxR!a!YYmnLh%?l=YTcH)GwS7(N_jvAK4a(J-kqoHTAXhU$68SkrpiKRfKx#
zStg>M4XDbhab^`X@c(r0zi%-L;1=>V{>nembox~pWbL8Bl#F1EuCzRSJ5}i%^>LNx
zRV@#BunM4ge~BP3%R&~diFLpE0>RzVtV5p-;I;3q%EwhH_};%mZ%@o5VJkD`c2^HT
zOuL5T_Bja<Y~ZNA;PI6h5UOiAnnghFXMe3-CSu@Rko_ah=L@lw^M7nBEmrWvWO{cp
zuLzu^cktG9>>{>sdg(t{v4n5$YaeXm6N1)rhZj;4I|#TU^u0~b5*$q>d~?kO!0TtR
zxqx{qQLxn3pc!TXOUJY`eXsICXF|~(>VGZ7`&?o5?T^fX&8a^sTb>8}X$(2ReQkuj
z$(M<fb7r6v(`nxy&I!BybhXUl-x9u47sJ{u&EVbv4$eU?cIYm>7IU<^i%4T5n=H~y
zL19bFRsR_l$ZnRkSbp0_?7mrHSUYS29i9Ofzlbx#is65EhBF5Vg(a3z6>}4~!aI92
z`!pjcI6sOzHaS9Q`gd^e&o+i0y-PlmiVUz!Ez=pa87C~`%kI-wjUfDlV3_+V9r!T}
z(-q?n0xlnYT<T{8ANH0^CbG~$jTp63bMJ5Bx>H~1(Km*0v;N$ZiIeMu?yDJ-)YNGr
z?g6)N3SkKC^5Wbqv^8QdF>QBH^eo}qW>U~nVF0wEx9&AAt3+ybeO+wiJR#w|dqGCa
z036eUsHzWE2#;@z@fYJ4iT}0_vY#l`2lJp-1#|lqqPOyqpnAa{B6h~huR~2Asw3F5
z3lvs}myH)TUFu#YKHQFp<9w(GR&vvEr11(7W9xSQyviC;C2{Mwj-ejBiECHEq!mK)
zg!q+%SsR3e-IfBw1}b=`_<5aRT_x&oE99;T(L+$wn3lp0D)b~!SYzr}iGIEZb4HO2
zP?GS`b9IaYzQ>n-elJ}k76KjKm49c1;Xk*^-<_m@*$1r8d$~?5|5Tqi63q-LihbLw
z#3-;SlqH0oiw<<nPpUjsW`*x#LbVqobRj0p>?z+HIw)h0ee!jV4UD#@`E9AyfgJ~v
zT(>-=2MNZDK99#aAbIUwIs=yuL|mx8gCz`Lq}$#;L(dK2)=i%@gS0_TJhtyW$p{-(
zZuKv>@Inh)zNdS;7W|fCyd%HF1P?}66kwPS1}}<+=vrt&XIWd<HD?xh`$YeXi-`bi
z({ARtQmqN9KJyQqUb8~IR>zm92ZHc_00030{|uLRG}dnz#_hfLDD$;muh%>5^}UUV
zWMr0x6fGlrl_aZSQ~jip$Veed8GWCkL6k}og^I}Dn|}U%&U4OlJ?Gr_bzL99_I#yC
zOdS%dNAendIe|Pez##>qP^uKrB>RO3Tt7!<<8`>fC17BqW<d-t{CK1{A4vqkiyjhj
z>byYfV#&roNPzF?Q@i_`L@3bRp4DW>4_O7KIr$w@z?GN0cjvMiuu-cM@s9$)W>)Qe
zZFL(s%4i9wcBw(RBDMUym=Ls7B(dJImxcTr6Q8-;)Ic%(Th5+vVGx{>d7nQb2gx!M
zU4$QMpvT#o@o7N>HqHz*>4E|X`>L7B@DiaiOZ0YPmKdzs1Ru|Rs0hlZ{1}uxiSXj<
z%gGmx67W?&fl-&P1Y+SH2giDd5cB!3=tZg&ys%iEc+{p0*_RmcqBwQ1EIrfjN8bjY
zdhJxJB2;1FwwmC^eiGz6e|YcZCId(9U2dn-iJ+aZd1W?01B$ao`^@a*z`@QUov^G9
z7rirMDqfJmardjP)3NgK*-X&l6s`f$yZ8&XlPEA9$8|OvDL@my%zrkqn&9dA@JI4C
zDj0d?du#I$K(qPotB2PpP?vN1gN+sq@}5oj4<1s2=14<<z(Z8vxg%HqFoX^y=lFM0
zwaW1JWKNVHKMhuI7FAdL(1J%c2O1Q3RG|=e`q6NU2Kyho`o{a|fRiR|L%>}Pj<js5
z&oR@%otH^mLrxD~Ntd>CWfFn-<E&S$HXR;th&PB%=|j|rvs6g6Iy5RZtEZ~dK~IzX
zez3z3BwwGoX<tbKw?aea);=1fr=~wjdu9wTajTTa=QIE;ZeC5;MFVorzuwkd3_dV>
zPKHa6fp@;cEjEw}te^iz1Uv$`wIa}85JZNT9o`uaoheXXk?TBu!4yC((}a>thFzg)
zZ;Dnmz(j@fR)m2WWFMr4+;Jg8QhS$?&=e7_Ke+3^{=p22-T&qJ^k@J<X(=JKPzCsl
z4a!Wx9MTF)UNcB)fN7_1^sFHPY8!p6?Jt_c(|UQyZZQ(92agR6f02VXQwnL3_s!ub
zu~@9Fmk1Tl?MejXq#=XhbAw8$Iq>_*wWS5B!2z-2uePkB;GuLl|4^biyjm+78vUgL
zHo2e3Vw-%B#yIRm-DwWI)0uBp43yzyi-5m^B`cgGjE2e1o56t%`-gGy1bBXIyYGd+
zD;SpgaV0m+3?fbnhxoTB0FPIam$%diRvIIBG+)*XDn~G{Q$q3}mn`>=$W?|ZhH!L8
zm6*bnc*WYFb{Tk2%E-ShJb)KJR7@?^Fop5BgQ@iE(h$d{<EWB7fk($?lLo2);yzYd
zJxP%OojP&T@y0nEGtpy|)CIVNU$dR67KO=Q#F%>O5>9s&d2{$I1~r-Cq!>P7pv1AL
z3;V6$YL5Ggd9qBPxzS3G`?dh^CG#GSt6asEJ%X7uD~&;_ni#k19S_X<j1e-l)^O<u
zwlVr&j6gPA;J*G#4w$isU{6<D!^a~9i;b9!V9z5;`%M{E*mY%$YqoY354hgX#;t1z
zfvv}O{^((ZK)xfl78zD?wr}C7dx8x>%vkHw?7#*Vcze`2T6P70VYpfL@QFUm1@>(A
zR4!w`a$8HksV?J;&1H!-4EpdO!-juOY#wV`|B;PrEa8Pe3wu``^dO{PHnx^!8j~>^
zUs*O-#0xNTs!XviO!h?Ip8Pt3xy}sD5%w+Mk<WH<ykgRYx4ntliZQ>iyX`=A$(+ag
zb0@`b9?^l|PxlzlHh;rfGWVoh8=1qGGZOm_wrGRso0zvpDnDRBx6aZ|dCuWV4_kEK
z(Y4`E{YQoU#0KoziocTL`YfJra^y!@ffl@t+;<}O(M3FKu*y}haTY)Gg%H{<ss%pN
zv$eMFIR2ZR?3q$Hi=Ql*DB?(=LlE!a{!*_t{BwcwX3?Wryp_e%T$h6m_P(1M#hah;
z$Zmd(&f!^n{J`<+dPy`e?vyo&+V>5=Q&m>H-(n6Ia*O&r#Yux8$84pdgMD~~eT+l)
z+bx~{j%S;vQ{iN~e~f#^PyFS`=Fg>&d7Q>Z&)qIX1uwU^V}gCZ@xVlVVa#R$Ul+Zc
zda{@Ty+O_8-m-u2D#jcwU+YD@(_?;IQjY?nY?Ezq2S@O?SCizw1ux;dC(f}OUDt$w
zz}5H6g`>Cv1HY-+yJg%f{*!d~Ych;$hQtdjkK@M1!kQh9tGMx(o$r>{G+^GK*Ehy%
z3NK7Hz9Pr9j!)x_`8m28Fm37D5xy{uJ02`{vs>E054U}P_aKr4>~{jl5w^2<{oX3R
zvwRFFOFBs1`lUK__SfFyteeBbgdd8PVvLB(B<@C}pgM#Kh#z1xTfl{bw4zfon2@ke
zV8;GqL?F<1?)Mp4#P11;H21QxAmajc;qA?8kl-_d*;Xy%U4MlH|0`fce8$?6iz;gH
zHfbV4@XjjEIQGOw;W#_e6s`By&QgVs$GtW7G_2z>pD%JzJUG$g*4@e&n<^Zd4J=t^
z|A)K3Ntya~jvLuNEN{#>uLA44vt<jL8BqV~#_aVTUUX)8lJ6a>3iQ`xH_Rz8Auq$1
z!UR15bmWvA^<kDWD8CNAHh+g1vD?I67Q8En+WpG>h$Ll@;2#nhwO~a;b4{)T6k(Kk
zVL9+fhZ2ZiOLB1LXGfn1U+=~biXd&<dxLf7m0+RN(`|-@6WMCWvI@TtLszfdJl|`o
z1jFEH-k`>fRA<%Fs#_#b!1>g!S3*kAwrlM8-}AgEh2i|qR7Po}a<Q$bZ;=4m-X0cH
z90EuzScP1DYCCG5p>=Lf6CgfP?6XjSAd>qOb~>C@4*B=3r^mA>LHi$vqvZ=i=*HO)
zwhyP}(d#M=5pQiJ(5EwFOt(c)l@p<)dRYOT=3nSCPF8~G-M0br6GInvA+w;H1mynF
z`|J@WWk~V+RqN^{fh2S@U;cMc8Abj~YaA<82HBif-2LaI5b2)i*T)8`$h~OZ<6(jd
zB%eL%@$>aI)PAT}ZjDSt_RhP%>fTg^9%k)BdAhPFIg3|wNQZ>FA2Ao-+v+WQj=a2^
zHzJ4j@r8=D>>?v-*KzvEe09+J+^YI)rvkcTosmPOQ4o`xugkYQ4fvWnZ6#Kxh)Va6
zerg*~k>k_vqd5zj;MK&L9j~v1;w$ctDd^D9>)RI5``oFp<HyVG(Jz%zh3F|t;5IsP
z@@$sv9HGIXyN3_`u~S9cEqBAlPdeJj%L`q;uLU>qtEAb#s-ef8aaKp7w9uOr?DDr;
zI>57*Yw72xj{4(WILo@V&}9CoCaGQzD0NRmw^ftSUILZZa#{<eOTEfyS~P(88x|IS
zrZkYqj@|qHo@gP<L$CFYm>a{X!!t%qYh*MN&bK#DQ42L?-?9=(!{F4D&zFC`(M0s3
z+Au+FIvQ)vm`nWy&^Qv&aZQPWx+nYRrzfcBlfPj6$6-@Y8D@5wF{YrX4A$c3ZWNS)
zS48%;nL+=-EB%s03Swk_dvl0c1C^QWr}rnDL!gagrqd@)lvUZzfibF~F5&S{*F-H~
zFi-Nt(`7Ph+PwIus*`}6oQqbtPg}qNLdCxMb`6y9c>mnx`*KLpy>7Pnx&>g`Vm?y)
zNvQ8Z%65kXlBnd;n~Bj(3z+b-FMD4>M9SxGZ~L_&h*nDNS|1#>0AG%xF!ishC}&X>
z|JlxlKGu3X*WP;fWXf-z;sIr(`%c{2wPg_}-F}?1qud-Iut7kkhk%ynFCPq^Z^J{&
z_YqyF=Ad{@XhEVw0qN0P_{$haFvl>XBdqt$;LNLQ%FgX_NG|@VRPnxL%vJWC<!2c)
zIJTtM$@_Ra@-XpbU>s%ux$o+nOc|zd@=lU+{kkObdB-l(=EVZSEbiRpET*8z7oACs
z7DGyx>aWyvu|e~}Ukjtr01>v2JCbySkwU^l{^3v#=(1-L7M{kyE@tiK1XTb<kz^t(
z{W)R9wf@YhITJYB7aw@yI~NKlD~wD0%Lz8uM$J5!On^asMW?uv6<K@n4}9d{f^|Nh
zmbcrCA?>8J<r6DL#FtTXj<$85x81?i#LNi38}`)(99YGFa_Jg#6mSBO-+5Fx$PlK@
zJid-H&EZAlpnNGyPRLsjOh~zJ0AAtNJMQ+5;EJUssaAs=z<j^t(Zqy4NIe_N)7R+1
zYuTQb5tBI}@n>kqc|Cnd&x$j#PprXz=^p+4*nk7{6ROXYT+##AteX*KzVEQEVJ?oR
zOdQ~>(Gk=6TNj4!ewEHF=)(?<zy0Pg#16&!6<#Ukx?pK{WW9Ip4|dneGtTJ`JIHbO
zJ@YTsfpq^<7fHV-Fw5yD{Qq%qKy5Bxxw5DZSnjg=S}8M&MQD?{EbKU7f_2p@BvBj8
zdi4~I`4=!VHT>54Qx0%rN8gn;wBSknRFp=?5_VYdjgOcOC*<@nB#B3AL5}r|R;b@9
z1~<Q3H8OEQifb$<ZIupe{?hf*v+LLm-?+bggIq8p_F(-)EFH@CE;sEt{ttWkf?PtI
z;)eGPv+g)I9gc++sk|9y0C|??<ENB(K~NF*FwUa^mu+T|oeC59@C|(@B=dprao<;~
zR2n2XQW<|9V}^CoNADOO0q{*<^pk3*!tcx6ACEp_f!PA4!-L}jaLA~i+~!Ax`XpER
z3@$d%?75(6`$rJ=TAz@&6QRPsR`;l-V0O@vX^`nz+2XSjcIqUefWYsNa-LZZu(3X0
z)TSx|zl-FUctR-9yib)tN#+92mS~}f5K-`Md`FTdQ{ckU`14izJfQm4dK~K$gAeK|
zS-bi*!AiP9p_7vjB4d0rQ;tbM_l)AzTS1yYUhcy>*7$*Ce&}+OpcG`Bc}A}g*94)C
zE9u8M1)-s?q>a=k4SN#DaH9?~?9EM?SW*=NISmjWZr=`1be^}^-Xg>Op}A?1gTnB6
z{>r&GKV>0BnlFbMPlk~hUVF7N5de6yA<ZifA$zX8P1`zO{BM8qIX*F9bBhm7G*kfQ
z9}@{)1!Q={s$igfMI20$0~$)A6`}WF@t5@hG9(76?^h#8!f<jFJ)w;N0dH7l*(@~S
zQH|dBp)M)VLY_OqxAIsw#55!HgC-pNF((yYxD7({TIIO^Q-OQm=zb066p$DqZ(P12
z1F2uj`abe)@$HLNdCF4?c<PV0{jrpTq{GWLS{I4%^yxVzJ*%y}c$~>C?IaHxr!#(8
zF_B>I`BK#9St?A5AHU>qLIKwG4;;B4qyfpQ)kaSmXy9a#aM?L&OE-_bQ_x2;$UE+J
z6~9M^iNk(g#$^O}7pM^=!bO2c={Axf6<ScMF+y>FuLS;apRb(V;?U?R_NiUn+EAl)
z#$0Af8AxM8stH_Fh!v9<?3U4mXBMowI_z8d*~YDVc0Uzj3VHChb9!KNdfqufKn*s0
zJ{|p$NCo3j)BW2Q^+BwThv>pWgdL`ArcD>9a6bCD%|w(T97=IsPut?J3H5g<!Hx>L
z2H||SSdC$*aMe;IO&#>o{w~`NQoy62aZv1v$yP6Y@m*Si1i=@Z8?ReX;I7MIs{%%V
zrMWPjiqj<6k>PRB@HZLKeD1{lsQ~a!IeSeqn*{Hz88n**Nbsl#q=I*uLIswq;&6@x
zlexiy5*b8Tubd6a{a^|rd{2jrsU)~NQ`z@?>wi2`6!{iCGq`z0ZFZzg9k2)6dgk{j
z!5Kr(;I?=(NX+m4d2)+OzcU+Fe!Zgru6x}hXC9eBYX%{?ftd(m>FTcAhGZd?<JbIh
zlNr>Hlic=Cs)E8BeD=T#DLAD0{MFzyGkEr`<Z|y56@Zr4pJ>aX@T|(<U+Fb7@c3Bs
z#?yOio|0znR^|&r<8B?zE>E*9f9ka(GbusXt>HAyOm2{NsSwhUG=pg-F(=&|MWEl4
z^kAQ2fmGX+mgHtrIG}gG`kj&jWbloC!^<}@vg>6=OCM9Xd!)+xK%E>kToK#5Jz@d-
zWM;P-!DtHk9S1@hDrJDFD8u>}bsW=<y;k$^IzV?opWjK2ZO~Pf`)sCh0K1b_cXn<I
z{|&~My%Xakq0`Ofo`72i=CkKW{F4L>2yO|^V~XMs(VOLZBB>I4Rzl5@t1<!q+h4xC
zm=b}uO@1%WzzY1YjnD0teq+EBmbe;+h2ZwM5#NmR3taD})vXpGV@Qus`mmQr5J-{Y
zycU0(aj(A7<u)55DDSsq(yQZxa!V_n*d5I{SC!oWCD{<d+GmYYtGL0&{FqZa4dKGq
z)KaA08G!skn3?<<2Ylx}^ZWVcBYaPZ$(f772GILAVC-rp8_0G4`Ex!p3OBQTPxU^m
z4|`sPtw;p3z_CuDnvIM{*sj-ghDkMgu*m8$o_>u9vLx@cr292vL9#b!FM0If7=v;5
z*Hs2k;PG&rA#`ATzfFAqoX`b>9W(Z|n*T7LnC{0f9lJ1nQq)TGI~_Q7D<~uE^E!s#
zH8>?!`W+MBHRwyF>A;~DsiRN6u43-j?&zwf{lu~y#@m=~YJ-7)@XlfS3KkKxpPu+-
z5UbHiT@&WfhCbn+CG>$MOnUyH@IU1dOgV9?#r&KWc%NLRUiz|##r_^#WJnmpgnsSr
z3t6N?!QGwA1-y&c<rzQD^4Uo&peH9WC6Eqj@8qpl;})>(FYSj+4Q4Qgb?J-Y(=^zr
zcRQtvvVh$Sv~7^!n8Rchsy1bVX~3G)`&mzT0ek3ZRZaXekGVSt8;7q@q3<5U{vPE8
zZ1b_jbz1i#CZ5gTb$V;>PxaQnP&~1)rK2a*=GQXjR3-P2S&#|>Y8(to-3yqcZu!SS
zjx~(i_YR3zK!Jr1`OPUoix@qpxTD2k1AESPCFz$A1-2h$_qwOMgn9kV$Pvf?VQeX~
z`wrgHgo``Gu3M`tW1H>^w+l#&AS?a)2Dyt2?D4H`{iZ7zAwc<GRwff{Xedb7i<05^
z&d{sw$*Y)5QQX%vA}r84E_iRqLjy|wvg(l5*D!W&mmQUlS>c8&YE&*G!O<rTtIoGK
zux*P&_v$0r!Elm)-i?6-9Z|<49YX$LGl710Pafrj%gZ|RpAM=+&g1)j{5S*n{>RtS
z8p#dy;cvM)UlW0G?M{LG03%2kyX_%A=LH{oSI;CJBJ?pm-|Z#K3@OGDO=8jlFw<~t
zWUW#S4EK*Ih@WGDOBupUPQik3V@!L8p^h3n%VRZq%g6@L1mJ?ls1WQ-NWN<IMitfq
z93Nt3?C{+!`_=b25jbZ1?UcK>Dh##`s3b>og1Zi@&wrR0I2dpa{T5UOp9oK$(FktX
zLrlJYNKpa~ommhoeXj!b>}7}l6!C(~0sqn!iWHa>J6G4=RDmM9WfyT~0qCf8<d!(K
z4TO91d(yXfmc5y5-)1KWJL|8>(>rCrj+FX^=d218>c`5mJr#oHT~7AYS~-YUYSzxk
zQh^<mGd_<&1cJ5X*R!@Oz!}NS3tTNK(5D_wc`~}?gL!9jvu`TGNoN{iU0xL~G&RpZ
ztrdp=hRb)yb(G-j#tr}EyQ+}<#L1sfDhUHt<@E_8$`F2jMK;Ju4ML|QMkaA-FtOTD
z(yLSjwRclAVLc+qi;0%`t#1cSYfh<{OI!ZW-nMG)t_~3zRdqa?a_~=irD1yz304L5
zL`d}{u&!SIaW_yNChgqV-X9{vjfvOQ3&+UND^gwN+pGW&!zGQU2o&HvTwV8oMu82n
z>gs6%0n(guwU)N#`=eq>fBaTXwhh-#6{aacV)PD{BU4mx*`u&_teOU!hG*&cKV?v-
z4VGxt&|v+>wCE>YEuh>}@fQtHh0_wu=HN<)_3(IY^AT;po0N_CyS92m*0G`Mt#tVP
z@6Lk?qzj#K_&~L~IxHB8S7K~haMxh%5_6qCxF5d!zR#Nk*^U0sME}u&HbC+2ZZU*W
z)zbR~ks4r_kmkztfDT*?d%m3eWem!nm4kkGkm1yO;ZvloK5Cr9{XTXMgQ4Y>fh9&w
zFe=$g6_%vI$ILI$yA}Wr>8Jg}y)@z5(ZQQLdnpi`ni8DdV+v9{asC$Jnt&%>;Zdt4
zgFxwUGs_(_V3=24PBYYmh+KoKxPv<6*{Yb{GBt-J@65eQ6=X2n6Z+u$Jry{j_Lo{y
zYYz8)Q+pJ@Xh2Gx$W^TYMc{II=I6?20hdnJ$MV#WKsd~?;FW?Lj3}On-Y07TzusQ=
zqPnO<eBPHG_v9pD$@J$6>lWX+&%dc1Zc+o;?bWC6BniR30diK*usK+Y)s)=iQ3ZmO
z%%%!(!sf5Okq>$1P!m-vx?rdb&7X{E((4<TQzUk&#Lyfrnsg0s93a5Xb}~)R<u4}N
zE{$2Xnn8Ne0kQnE3b3>AI(4n)DSkCI{Jw>q8T|WW_Qs%44qlNG*^fQ{i|1JfUvh3U
zg-JK5)X_)VA-;ziB9y;?cMI+-Ro!U{YsvAugDj<B=);LZZ<TeN;+f-gz8Rpeo>L@;
zTO71*i_AD5XF%tI8h6-i;VJdYO3^U82*flMOrsS>^u?Ye9(NgoTOSGE!%PH0Wb$7)
z_cRk)jI^E6`_BX-OtNZ%Jb8f>_HOB>KQr?G8|8Pn(ipCGGTN?fagKl#aqMpvGiu;7
zahLvR1Uti~EN{lKfXNYtABmC7h<I&Mg}i167hKBUUae(-h)X_d=~~RF`%jI52H6ni
z&wpikb!QbLQ63#t>|#Qfuk*gmIAH+YvvUewDf5^`vSY;PDJI0|c|E?ZTpx0EqYIVI
zC$XISA+CiCOej3{z_`Pb9!MEX-gmk&h>Z$AZ!FAXMA2H0M{n%ZgPzc=m=cz5jQgDZ
zE-On$WVTPhN;h8@rVI~k8}@vGjaBf*Ix{gM!IglCx(yxhU09B}%3XuA@kqXR?_@wn
z=%qi~JavG&iTiiieZ(6UPo+&hXF#!D?tyYG+R(w){DkMkcif0chPd9ufWku7IYV`{
z;ihaoq1^O0{#$;!b$E~g*$odZWS3}xU1;R)??c15^SZgrO9e)xUUyl|Syl_Sz;c(l
z&N$wrr0sDch7q-&3eiu?rGtV&O(98f8qdkv(N(m}h*qQaClIB!_Pb;MCbP&aUUmB!
z*))?0DZUrFC3uSlc=H9H(S<pjZ!?}v(v}$s>YNzXQKkW3>_$am#{#ZyCM!f%VL=HK
z`Jq{ls34g=AHQ0*gy(-aLaHRNqA#IZN-E}CeY|sydFAp79^Tu(%5KSqcFOM@U;at~
zf7Kh^-y_%X$Hxw*_g!H}I$3N!;(-(x9%Q-D7`1^%JZ?CkxW<86l4Ae+kB<Un>6fxE
zWdFl8%KHlhvbd0So%JSmSQ7|-4n1f8FrdNY<Y2NJ4+>=cnR)*q83G?vD9np6q4OI0
zX3jQz=<CUmi9uE}T#e6up6t$yjAR%*J9P!ni#D5+;m0(<%erSkt%e2hGluordkdn-
zryF|wog`q3Vr1wdvY`&%zOtwaA>^7Pbt}e}1P0A3AM<f`l-e;Y>Lek8T>780G=Efw
zNg_}8lTc1nbX4!e%pFlw(=V|i;H?g9Im?7Y4&3PCmAxx5cH)SwR95H{yE+_WA&sr>
z;YC`xqi5CRBvGMWVM}d25kwZYnJ}H_M+X+~)d@;UBk|k}O%z9jAAY~?ZcYlIeJgjU
zT87(^`o2VK(?diMQtymy&=Eos<{kTOl4a31jUTV)oQS}4(VP(dpD^mAZQJ{iK_1mU
z+Z(oVga{Q$duB%@MA5nG)uu%!1*B%aaD6qC2uo&XXEL6Mp@1<~|CmNaG_x3uvkVbo
z;c6+ZHCO^ox7^FFGg3mk=>dBlZ}pA$EKQ3Uj#4P2E_p?#LmAx@@}SGJlAycN@>-C?
zHk3Iu)*l<HiVhDCNVNVS!GfOo0jJY4NT@9R@~|oqU1{(=d45s@-lkj_R&bX?qF)B$
zb%)f^w&>2Qy2hHYd*N6oAxR#+D!1Vcy{mz)96wI`c8mg+9L#^>n-oxJ<y*0v`!o@j
zJQtGbLWMs$w8T~}0_t?h`CNaFg6?#+Uj1}}29_x-%a`{mq4x*#jCPn&ks`D@;6-%U
zG4dhH{=PEGZ4DKYouDGmFLnZSPHiCg>eh#?s-U;IO+$s@G&FL~M8_^u2Qn$jy857o
zbeL@))_2p8OwuD?Zeu;LpuP@!8bU<wYMN2r>~y5CT7{1=8GsCr?ptb_IudIzKOetF
zLsyXIe0`50Ty4|2<eW%C?fkzZ&_f#9w3$(CeQFHn-9AV+I%psQ|F^Z^?KEU<&l;$c
zhJkN(DSz6K2KrTJDsje&iuB0Jo5zX)!WcZ7<&DXx9M7?SPNAS0-aH4X5L3ANXtMmi
zBN>eg@4glNQUl2>aV}&jn?Y{yk29UJWVF-Fz0J9Wh&~ve@LqUo2Ci#2{)rW9ASuJn
zx}HoGbo!UO7D>e%j6Zex{rpQpT2gIa9-0tP@ynJM)&b^_v&jFS--J5a=c_qyKQ4!)
zq|1%6GR(o@LO_M<Ga@?9@|OJcv^28(ljXT9-5mZ00096043}p()_)YnJ@(#v?>(N!
z-oIltG>k$-Nk&N&Mbbb?Wrd_7m8}w@B=I{94b?xCQpjG}Gcx*nd#?M%eZJTE-k);{
zQ+yp(UDa@?&5y7Dm=Ie1<mR*su>oURn|pJU3I-TUkN30iB7O8Os+*n-Fnxcmc9W)z
zRITlCC1;qi#H%*rV~;hs^K6i6Ij4xtS(`(|(pJa_2A*vLXRTpJ{9>F!vpjB@yz}*L
z<v6K+-pe3@-x?Hie)w?7%VF_($KmG}K9O(EB(GK6vI1GdT(P~&(&)|hp(!K&EAf6+
zb(%rR3XG3*riOlzz><9Z_jle75%*<ZCW_t%2>MhUGVoOt<!e6_T6Ikkk^4064$}bc
zWiik_ViLwL2E2Dyz2*q5(0$b6;{>n^>YYtED1fUI+5b)!ED-Fx4asMcEa5?V${r(n
zKJ2;P*;_RChj^LlE3@~31^D;zzx#Zf3tgNQceKVX5>mUZa^JU@!=Rmtgkl~WcK!HC
zJ9c)F(AV))>7+9Uk~X3q&d!X94JAyT{ENgCr>0+|p&57w{<<B}M2~KJo{IQ-{vm$l
z+--0RGX?L=(%S=_|40R;iw~4fED(u*4Sc1lO`zjM;2wwizht_4!rzvY^Td;9N!|ez
z6A<{K)1{%mKn`fl_^lk9BgmS%A1zMC@aw0{au98X%+409^bDINUR>Sqj8bd_4sXBz
zyy-Yj-sH0Ubnfg7;b2^};TD4tTnXNmDlIZZzNk9A6nbZx_<Flk-Obk!(mzxLZ@bk)
z3Uz&PP-veb<V7b_N8TI2f5QfDJ2HQeQepJx7ImkH$3CXz!ukd<ozK+rU9_2u;bXM6
z**Qt*b=~<_l&cTHjdb^^+OJ60)PU1p&P@>ejl_Ho3+Y36zOVouDk4u5Usj%<A19t}
zyKG~gs0Yy;dlK^0i;2y(bu&u$$BFmqe?Cqy>w#m8bKGP-5)-q%ZvJ`W#9imzwEc0q
z;M;b?Jmf?p;c+AJTlBAS;&(-yNEC}M$ch}zHmqtUO0LHV+IUV7N8$zLB$8+_s^WOB
zrn8mU+QtxkUviQN6<AJG7pB3kU%J;PKK>xa9=8=T^G*?!5yrD=xm192eX_b&I|)s;
z8l}w2DdH3R1`*Ju!sRQma_YI=MBW*r{)ds%ME)lB9OAML{1fXFJ{;alEbv8I+U}nr
zvbT3H+C0$)7X6lc(%buqrnb53`A27o{+<rn(P1qReCGE`fI3K&?GySIRX9fs<(B1@
z$!bC0H-@!V`C%d~m&2)@VSx}|X$>0NqY3rP(=GLyzlr)9l_!w+hfwJ}Iwh8;0q!y{
z!}xZN5z!qR|7BY*5hq{VI!hf_hlVRtDFU}Ah_h4g8+WTO6N+I`R2>U-fQ8;n{>xJY
z+gE-4LmO9##whmRlId!YdGPG$XvZ{>U0b%nHs>Fa=Gj`xHmM31S1zT*ZkZ*xWFE5q
z6{CRO^SA1}PO2a!Cx0^Z#~i_M{9OruJUz&6;xBTmQGpD0i;t<77l_5_LdOg-M&PKN
zauQZm0pqQ?FP424iQGLoK8&qQAS!!?@9HgOC_eu(O(NhgQQH;}19dDA<#f4UOI#WD
z)(1j$)(W9)^3yfx8yiSr+MIii5}Y_8ultv2-5)(iafT8ntOO*Sc%ZHXN5tFe$W}UF
zku+2aF5?Ezv)_|CNktIy$bO-<nI1N-(Mf)I&I>-gdudI36hV1o)AqD(28hsK9Q<p`
z4^FG+F5F~QgiBtn45x21fxCvU&!JfX@R}LVN~u?X@E~j5*OyoT=ROMueGr0wT3b8q
zV-<itmVaAZ9vjF}n&N_*M8HTxa(A7J0<?<S)XPtEK+-LH9Ay#*I|B{|3o`|%n5z@F
zjNpd*hi($yA(G&{mFr!GfdYK@D}La5ix<90*CYz@%D@ZzotGsyDL_H&nL>S8e(+}b
z;C5zS7UJ`0wy(k!U|(88M$H=m$kw^mZxAC71r(EHtv3qr<NgDxTe=VgsO0SG*H8qW
zs?z>fW{Tjdqgvr|Q3SsIoaIcKSAwK{N$RgU72zV|%ztG?VxUp{C(xo(1-4G;=i62)
zfxiD%jlLNP@T@T!c-*Z9o87iEn7meoA&YtD%0Ov|MDsGriU!ooq$@dyse;n2ri#Py
zvhc99{nMJNHf%VOu=>1K4a%PW#2*uKpws-S=dcbHK9o@;yQ(zc^`N#w_dx|n{3`Ob
zaT5(%6wYbna%qD_oBUw*ydqd=K1zPQOBY(C|5~^DQ(=qQ?b?PUWjM0^(ZY2XJxDm#
zVIj6k16!V_)rU1z!I^(^$Zb7+IGZgv>e#3U$<HPezP(oi34wEl=>z(}5LPT5`OyG8
z{M&*(JvAUvwJl8F%K)MuWqUHO8G(qRpHpI+CX9LOdO9Q;fY$kc-TE%3Fun6I>oJ-(
z?8q1iQuQ~0iU!;E`>)JF$ZKrD$Xy3MQ#?#{d-Q?HEywb{ApxE`H<TA;sSxUQCaGyr
z4|ZONYhU~TP~|?5?;S#ghP*-F&kuE>OjGnv)sPh&nKasZF^vimyg4#zoHQ_4txB)&
zwFbSEs_@neRM5C_bNQ;3He~OR>TP>u1A9eyjlbAafzj@s%MnI(u-UfMcFEBe-sifr
zwASl@Sv=u!Ax#P1xY8u1s%>H73;LC&Xu~er!n>2wa!~K`*pXwz7FK3n-Yw<Vf_ksq
z2TY}6pwnV!5;SBB;9unB;-Uc$ukTEBKtAAoG~9Ne#uhks1ji2ftAW6~e;ZD^F@emW
z)fz{DEqo_@zpA*YfJ&_NVzB-Uaf**~d3DhSD4OHiV4wsS#|Llyc6mvf=8wBykFbHE
zh@Y$@+zN2o{^g~f@fmW`!bTr{TLZT3((js-g#$T7C!SO2a5vM4E2o<^yuQ5j+V+(c
zG%mWnmsw^+Yr09h2QRH4&D)Oo*EcaZeu!P`Ne(NDKXW;9nra2|`gH0Iio#IgeDivg
zDhD2IV^yfl1@Lt4UI?pP|3{aqMn;-A@zga3gBo#w+kqS-M>u(4_+!&_eIpmbhLTEi
zT>@encRJ*lu|bEZ0~f`b8w1Wp`|6lm!r$f4*^y}mprjLV9lN=)^810eOgk(<UGHRE
z!HzXz+0u!Z*@zogHt}RjhMR*q(}-qx^*k|@AAinwj0^Wm{rBunz8PfYzE_L>J4!s1
zUA_H1g$wDni7}ORn!;YOUYC7#9mJ-JxQ7%P7ao%`oIN0G3dTuow7tLY6E;g4e;GSC
zvH!=R2D%^<=!@@3wt3t_UQibMrgf7OMK@)4lB6*Rs*cm#occ)8#pT9@P)>Xr@X3Tt
z!Wfk6{J*Gg9V5?lZ>@F-<iy!Mr{djD8-V~N)OFlwhLqTK_hNh;Cnni)cGwLXg6hVp
z#}SkB<Wa`Ld8W6VsH>vW80lgNoI$%JK6@^aH4d9S=+=Ga4|HyQ+-LxVkS0T4@(TI>
zbV`p>0~da08Ek2^GXUW-w#?}Ce`K_<|DLbsxl#G|rE9m|=)>qHg^d+v6wG?7zTe^~
z56%rfbCcbs4^`zh{qlMA7`WZ|(hECYv=P^j-T6Zgd}*h=qL~=6>)f76|KGeAV%v?I
z59z_)u@0gC0+>*O{)4b~5g*#<K3SGx(1WuZf&R&V%y@B4(*DgUe%y1)yms}DE?k)T
zb35IV75O(uUY$N9fVsh1V~TdVaP&kB&)Hfw+=|>namNMmg?`j(*CY*|m+t-Jx|sv*
zrS?z)ZVKTI-@DF9cWI!iH~Qn<C?|Tp+h=jPT^JiGtr%{5(7-t*@{(I2H+tp8?iex=
z#rSf@u51Y!D0-%r>sa!lXb*WJ^obZ|<;avM4^YATrPySGF&{Sb3u<yZOQ6$VjmU*+
zD)f$g7I<&NkAsW~{gGT!81On-x$i0!u2&iSbKfU`V;oIN<|ESRf44QW_Y@W0DwbJh
zrU{~CL3-h<P+8pZIF#f#N`;u**DKX+LRixCS(!6N4iA+b`kNU_g)_$Y<lgCvU`A2V
zUY6VPxM9ubP+u$+oIdwkW)+Ddmne4q`k;XHFFt)dl((K=e5!r5G;w@oe!jt!SqaaC
zuJC?prNS58#}v2q{ru$^yOzRMWjrGzPFK6$Z(wSfu|lF08Yi2s{ko}wtsE0w3*j_i
zWsY99*)4+yS^^WACsZ-r?Y=OK(BOT-eDu}ZvdCbR=jCprj{Ldik1dbs!uSt`qmOUO
zVSuGTRb`q6hAO{Y@E6mAHtu?p9k=9hQJG8~Y1Kqm4+ojn^*QNm@vGA;P{86+oz#zv
z+W6WuwngrVKBR5mE$LIHh|Zevt?a@&DDttKhx*U}5Cv=kpDLl>Z|9MH|8(#x{kOP3
zXb9QegQC38mC;7?S@W_76|-6nv^tC#LGqo%u#=Bf@Ne~w*5FJkCj0X3f2C;xVSE>R
ztZu6!<*?P$t}-gli3X{Mo;C$D=I6E7!ql)es=o5aZ7Q-D@0;RkGXvV($IKI&>d4Z(
zxsu11ie7W~(-!qDK<n&5xwTj7*gASxA#+{_qXg%?FDF<6&9mZZiM|F_P`DbezSG7l
z^7;BPEd<CNeChc*QUlLtEi{bSY2h`0pNUP;0H9dA`Zz@cqq`NkK7?yv%BG0!3(Qtv
z=J=Q5bW8&iuCm!3JfMbm>=?9cPgntWnXM{|iUzJ&@Cu4*sNnlv-||N-Rv>7@p+{Gu
zj#c9I*^<qQm}36hQ%cYpy5Fo8aj&Z3AfM6dmc#P6dgP<<ikUS8w*M+Rr=o^|&kg?E
z<C8_3C#!dc?XBUc_Km|sTB<mh-QRFBTLS(6W7R%kZ4Hqw+x>3~tDp<L-hhL*2$mi3
z4WcMnL(jsO!->O6*dKC7IxtoMw;EpJb)UBar|q=E_wOm9$hOxH!g+YH(C$}t@)Ilg
zeZ8&@_bZ^|EiiVIV8@q9%4-#etiVxW!<2xyJbv8t<euv~M>?)~+|3uUf`zWt9Lq1V
zsL!n9vAvoOZ^<Z}T7C}jpZJ#oNmUvAy`&YeCH61bRIxv2+zX(jg;{G7B{5ozC==zH
zCw<bEJaQHZFf)>H)Q%8G0~61{&Vea1!tC&(njQgkY@8WU4x-q`UYINWdXyC0ap_|1
zVN0OKcV1!MCX7C$j;(I_5UKxrSLsTL1yCwBZK*vfh)KsSuFhBukR3{^!BQjUAU3KZ
zf2^J#R~+__UDWL-lQJKi9@j93Ui+UHH1zoJt6Y?;hfP1(@w@BGOsE-nT+onp&Edg+
zshxzk<p5c2MVmZTZwj|AAG;YO&xKCbLJgFKK{D&nhp;McQ}`m)%(-up9Xq;TSlzT8
zA-fVk94Xpw0&K!wRwpTJXsY6N{4>WG8Nu<Z+_}yem}Q4fJ>JQJ{P~7HO?s0gPq<BH
z@j72V<t+5i^fRH4S1W9EnI^5dZ?RoFV+6jJg8qp<WJJsBys>9!v*b-8uAOO}FaLxm
z_E8@&;EsUF$J*-i<nz;fvVBg5aNOY6!xQcFXmKq5^MB@l$m$fKO7WKlkRPT#7hz0~
zr2p<>-vdkJjqVE5Y(oPm{kk!T2`QMSrI)m^beZIQd85UnOdr_hRWCY*tk+k<9LG4<
z$nZwi3)?jHf%D`7=YS0bgPkH}I&J9?f2UN2l<L8o1;)7t>pYrgh~__*PQhmnP6fZv
z)q}q~OzuqWq@ZFqzd3b|9?Ngrj%|Fd3lYrcdtH(#Xj5eO-Q^%7zV@tS<+j%a-rf?O
zUxO43tj_8WnP);CH)2Gwg9g(MwmbX1=&|6xHg@|g7A*3(@+Lo&2Fu)6yTxYd(TG_=
zXv~WZ9a{@}OS#tdNy^907cyW_N>S1^;J`-n>57A;R0w0GqePux#N1x5333A$Mx;zx
za5_`Ltm-Ux-a#fj#DC#C-!UG1!m;nl{XaS|`*d+`{3J7;og8h|9puF^rmll(t~wxF
z;Io`j%7V2az2jYK{Ai`M`;r4{gZ{)X9SH_D+&7^Yrx-7Q7G^>lDMs4x@r(Bh;xs#c
zJ4mp|(+T08-5SN)YPBFr=|uvAG$*qBIQRMAHDN5<>^*&ayB7R?pcs-f#DxRqSEPHk
ziQ>Io*XQP@H6gf2V)8@>4+ahoIek|a$MSpmtno#fQ1;oyH1!`ZQka-MJ}XFKrDu7Z
z?omx>qblmlulv(UU$BVWAdL_Ior`gF(uA7azt=Ve3E<O%qpE_NWU(~&xkrY*CbZl9
znsjXx#DxG}=hkRBl(0PEC+e*UdFeXOF53#D*Gm)5girD~C!$sBo}mdB9pgrq+C`92
zA*t)NmLl?fvVChip$S)>QA(py#gM63RQ2c`C1gCfy+kWyy|2i!hy*_gEPA8$xLiR6
z6StI1yphy~-e}HVrCm~36<BVOU!{tZa&0l3E80+;D}F!cfDAe_)yNn)s3T|K3@a}i
z72;8j{%NBu+PkUj=@{2QIr%R>Y>%kGbAJCgWkL?2efew9B`rL#eIw)6sP#EXCeE5m
zD&P>UQ*~HW2c4y#{Qb{g7qa|I8!DX@@z?h=K~<Zm7+^xz(|=qK#6#xhz9y}6`i-Kq
z$Sf5<=}It+7wZFiS<Is7du62UeWe+Eo`%+3e!R<T1`vC!V`^zl1sgx_qAbtR&@ZmC
z=+to|m<To5x}>Uxl2-M*Tg`QG?)><UVHOkM5+8MXPN?I)C9mV*J9Y8aQ<>7ZGE*3e
zW#zUt)4-(f-FyKCx@cjZJm9_G9J24Ts@Vu=;@i9T{OH<gSp2fkJxX*v59c$@u8`~e
zRw;X^Vnf3phxIh=UJ~#}wQi);SPRLUTbuiXsVF`}J6>J_@P>mw!1II_CWNpC_%&#w
z7cq3mX|EO3gr4(JIH`r-ZvSiS+^UHWN*oG=SF9j*tjh6)nHG9W%0|^*Qp4-Ck0cRg
z4QG-JJ_pxn;+B0jjW;ut@km0>v-}^{Kzdc&_)XEoK%)n16A22qw6jcbO2`JvGtG3j
zaBE<ru2f-8ye!J@S2DOmwSiB;XIisI)UZQ)C$-8-0z)x*xJAPTra$NFd1R|1oi^D&
z_icUu%F>e_X14*>e7d$49Tm*E<o8Tvj2G)OMs;~wtl_6n@|m<!CG=>V*|Vt3hL;t%
zzP7|!gZzWBy+5QCar8q-$F~v+vSwC1s8qKGhrH9W)I@o_SFMtwLoSdypDN1RUt7Vq
zJ8v{3S7lMNymcmIaG1RE_p9N!n-$!M&vF=^lt%Vw%bo<fW-{`n<=4?cfcAnd(svmo
z@sv!4fl>hy5fO?FCdU9Kj`E8tS%~55qT@Q#YVCx9tVm)W1)#L&w*CBFVRX4Gm0n}j
zPecu+ClARIz<Ye@T$+I(`p(F`*DD?-E}rIW5VWy`U8>c5@0R$`HF$=j%5ap>Je+c5
zD9{1|Xu3|*ojiC`M)e+x!x-`Gav|UHb#vI*@%%uODknPo`_rS{7$NI@EGqSr89a|`
zy0X^9if{8?OdawWB|3L|>@8z8gHMIzAZH5`3U!)YJ=8ry`0NZf(zQ1Q_ss((70L|g
z6EMsyJ~c!f67e|DooWIbmiDSjzNbU_m@jW7pAHaP+S786b*<k`$%UFn{a4BVgiG!{
zb?qaXBefF?bd90u%+s01x+U`d2NNC9zHY*mFZ#B6f)PBX9OW@dTp%mN7s4kyItZ0^
z3Ntxu2)9`>Nx3((q&ttgoG*JDaj@k9m%<i9_~3Hl-9_(d(qI3;PS?F(2&<Ta3du(X
zz<m2$v|H{38O|CPdf?+H;_NP=ln5yU5co2DLrH3s6riuI{=BJy2)`v0$C#uKGCM|}
zQe}rp^#kb|&4-^6-6l=yH|X?1Ly&IrOV$9{D3RVzaVR9#jD8#PoX~^*dXq_(*gmo<
zROCo#%w=-z`J>-9v$`N;a8hT-n;vpY!+=W#cLn*4*Y%P}s4keE+${UptDCG!NZezj
zT~GQk#C8YG(ZJpD&}+%lzsOdu%x)?F29i2+r%&}H4J3o^PjJ8JAeZ=_ZZJLnf$SPG
zb=PH}fhp6X&cum!GRBuKli@`ZX;rdz{b&jmge$E1)2{y{_2}=-ZGQTN<eZG#)g(;?
zAG&;<k3v65emZ5BJLTU<^Q?z#VLmzl#(o}V!#_xtpLU;GAN?TJ?Q^#2CTT;<mF84=
zwx8trmDa59Z#zhz@3nWI)@gyzSfQeA*iX{AiqE}zv5Rcbc&64ns|n3!yA58*x05H#
z+Yj$9>LG2eDAOnDXhO!?smfKs4pOh~$bkn3`^ezIhZ}Dk(E#5r$u}1_b&^fhes@hb
z4Uobv+8QHI)WO6kGo7vO7x|i#4^=k}k;isC<ljfH4y?(oiq}oLNu$C`F`dC9<W_I(
zcSFu<aKlF`*Tt}h3_g4^ng8V|SuR&v?O&`4b#KH(d0l(SiTfK1`ZrFHOx|}a8|hVH
zfOGBq)ti0f`{kH~&~sDd#>=00=zUaRmSyu{b>;!`&RU^^FvASVAK+X@d7}(>N9wt*
zWet)Ufom<*g|p;D%tMYB+R8AlR^TSNXP8v0d$e{bbe;^OeKfJiR)U?2pUW>g{U-e#
zJVX@_{UI3=Lv}}UD*-h*FiijC7@2wA$0Rvpi9B*wrsiy%A}CByG<Z8F$iIa=S=;|C
zufNY-@%<D<aJuHd;X64+PQ)cvMO<4W>q;*jf>;F*SeQ>&)t@0vO*@m@pVJ|g6P^RB
z0*u3s{mcK&l2=oz5_NadW5Zq7%B*yGcxm8KV{mnzyq{>d*<OedU(qqf-&B+b*@Os+
z*2O<$j{s9ZtiRo}tW-v3Eb;fr%Bq!vgE>*>%F33=;o?)*`;}Qy<#Xhau)7?rW}o)s
z=3OBlcE|rrk737LVc49vDhp{<OpK~!YvhZT@v=a1E?jI5`Lj|Y3tiqKsx|955W4@F
zU*#VjeD5u>k!!Ck+&tp7m)?gS75wa-B(Lz{=;boXoRln>96f%;QIQef8`Wvv-6nvW
zj$V>bYLbDqFfPkZL1t_e?bX;|EQIN$cHX*YWT51`)i!fuRvZZ|?Gf84g7hVK9kuLb
zK;+S{ExXg%aiTE#-<AR~Jfs}*QqW{wUsc0$T7wH`K8LFbQ6-W6PUO8AM;X{f$1^L!
zz>D_}8PU=grLpT`fCk4687N1t@SLlBNPQE#WKWSpo4tmDtX#67$3Nx2Vcp;E8Y!^{
z#q!9!d-lCXh%6lMp|<?f5yG^FBata#iZ~QROJ!Y>1^4owNjC@)JjOPY;OV1`2gDe<
zpH;}gjF14=jWc4nC}!^;bW9a@F$OJ!-Ia%KQxIaDl)$q2`4e}F)X{lj?{HMJ0(6y5
zZ4pb8M&pt{89jeAF(}-QD!Ek&PWc7+{H>J5lJr9=7x(C(es|;+e@PXnNzC4uVkD0n
z-zH!DF-%3pwzpMpwyA+!l=)Rkivn6T8?t_q)5U>gj?K=a8gMzHELAgF3B7-vI<w@c
zhcOM~yPmIU!|!bidn_$faDSED!MB0>DE~m!_t-`nT-T=WIzX?6eHnp#w0#B``s$!7
zmxCTGRP$8lzEQ{PapDS+iiW6lYPx$g-2mv@2;0kNG||FuWL7oT5N8!L-S+SpukYcG
zn$eQlcs~2`KJG?CJgs^7+s?<P@Jz1Jk0(_J??p^<$0Qme^K9p_(J%{00u#p{epHli
zU+6vc%K$z1hcCB_0VwxYhOKl`v5%~bxK^u=4O`n(l7g&Y!-mlRPO8x`BGFZ`NktF0
zj?B3^<XOXN`=#IjYZ@NzoBilRrJ*CcNS#=@4b;(jBnm3gQ1=-#kNh_+tohJA;uLQS
z;!IlpSDUDK^ORfr(2y$riA_?nm$QQw)4{L98>l#)x>{`gRRO;~?|!EkWe5IR+ppgj
z)4{%f>gO`bq;UL$ecjMCJ2;}D8%R29VSmjB+SP4>*e(`Hd2`YZ+F{QlS$hpUl{WwA
zaxM$n>#?x6>)64?vRAfS`PJ~@ek*s|vS~8;{;TOSv;||iN~Jq>%2>P_?_Jj2K|H$B
zYw*j+7QPn<|CIJp#7T$pX3^8j#LtX^MV8w(AaB<jbM2oT-idqsd-GE!xIi&JXS!w$
z%H_VN-F;+mqM8iwe#-$1rmW<n-Rt!MmFnmPaopv?>L?`63+bs>*+y%vU`aAhPw>4k
zW*Brw`{naNM&kSHt#Vf2t|f83v6mk`gTlhe0)BwTi;?On0CTX_rQ!-V%06jHeP|&7
z7ix-vsu=+WrYip&SYSaL7WUcDcmZgQ4T{{(L_p{ph4P#^3jP{1N*%l*0L^{xdLsBN
zp{c0BZGwG?Y>`rJ#&vz<hko@1O$+dEpSAcHGeO1_?|;eeEdUQ{s`_rannTVtX1Rwy
ze~>*|nWqc11>o&?*ALYsGZ5Ut7ZIHQgxELsQMqY_A5x5wC*-p!==L9f)jZQpbpQM>
zGq0H+{zTj~+a+lV(ZOPmbF;^ZMHyzxvyb>83cmZ!gqnb7UOv5a^c*o=znR%Tj~}ev
zg7zJ4F$RA7@B+4iCE|Yo0096043~Exm2VWsZP~K--q*P9wZ;8f6(N<DQd$xXvrq{M
zp-?K75gAPhQ5p9o(V$`Wvt^`d@AbR?o<H9AoaZ^u`JB&)R^sxed?6Gvy)n@>Gr`!Y
z=A-IcS7?tuC9Ccrgisq(-Invv80_V}7U@pRX#O*5%ReTB-O?vn{1lAgb}jnJ7JF7$
z=zR-JFct=h)JffxVT6?z_k0Re*zqaqDr@R3VYJD8%VSqI!t3D!n<Ia4VD57ZSGAxB
z9t-X0zFc4k&&8Jf>C`o75T>^V+!w)%Lmm&>V2A}<^NJK2Hxz<4igLP$!eh^?ik1Hi
z(DmCtdQU$O<eJrj--?Mr!)|k<dZ+=SEY?<6U*tpVQJHO%vtm$V-7X)eXaK9;#+W*i
z03JjQ<b9bGhl<N|jPDmJnyC+imQM<T;;Zuh7Plk@B4!Db7%C1mJP)?pycR+`%|8XN
zlfpe2lhtkOsYtw|ZkKH$greZ~(&Wq12r8^A+Q3hR<|H5ICv9P9c*{5qjLSgRQ{T0q
zmx5~6U4M4yh~U&RQ@nMM9Q35)WK7B_=zG-aoMA2s8<kk?`&<gR(wu$%aTW!GLSY<j
zyTo9gsrou~NC6PdQ60KYK~VIb=Zlxbq5WSw=})5~q931hY`;dq?uK>MU*AZ;!anYL
zb+r;sTZS&gWK!^zuvKdllER<MY`=!+%E%UP9pPjAcj44vs8N74&U~+rt*BE$pcQ9a
z{4fQAZ}Xm156Yl<#yFMKq6+DV-Bs$!RNN-jqTN#tw=Q<=iXBqJDQ)>@to~H+ZB~zQ
zos$R4*Uec`v+CGodTfhM3l&v%Wm?2X1#tDf3y|l~gzMf;^{WmBXexdvzj#j(*RG7K
z-sROo3GE19TdM(-nV5Flhbm!Yj+u0horE#@@9GCn8{$P~-tWTg${<U8;Yj&K!muWH
zmV&ksUTU|ryeF$bJB~#`=7l!y9p?A-pD}`sz!sj0HL4iZ+}kzat^>Y|tuA~m#(4Lx
zR@<gS6&DWd2u$hLK~d<w;l3IZ{5meM=T(*(ii-?+d31E~Jhph4g)qg$wetH~d(_dn
zGWDs>P8Ym757YAM%~06bTkprB0qgUNYDbiGaWI6gr_ySUik;p^_FdP2>{~yw5?u$=
zk>AXP2iBoKK<&@~mnIrGnEN+N=^#yM@p|ZQ3v9kMOxbi$6A2^QG9?DunEjgMAu?i#
zL))p;leaaYry<E)wU&es_a8CYO*9Bx<~}|AL=!e%d%7-_Y2v^q3%0zizy;Pvugvdi
z;(XxHwq#um3`f$7&OHV44X)<19M;6Cu*6#T2sQLx@yl$Q1!mU!T>8z)_`YODRe8Az
zIM$RVZX#PjP2+%5RjdX^jIRsv|5AeEcAuBnVFlKQ{#$K-sw3+-v&uyYMU;KNGD1IQ
z1(K@HTSXmpto(KfugZ~wkMr5yvp!bvZ|$Vq-=&87ANO5at)&rmBc{D@uN6)XOOT>`
zRq>ttLsm{&0)H-9++(I$;cDECz>*LZu&yyW?_w&7EB7n8w~AN+RcyryA<E!*g!DDJ
zLNHO^H<R51P`(5@L<T5f?>parA_oQGd1qnWWF}xwH2pI<p@<T97Kh1xUhHVl_fdBP
zUO2n`)%8|DjQfpg<xDOpq@Ea=;|ER@u1F<y%3<{2pP7J34xIHrz4O}z8hnj}xJ#yG
zkkW6f-rvjy-noI!+g+CMFOBNmtuBohVYAkssI1_U<ofGwWQhw3<x8xAlK3WB^=zD-
z1up;fYYkqtKq>RMqD7B5I(14i1udBIA?Gn$(vNk}9<w$nIVy(!BEGTM1}4N*U)4Kp
zwGMlOy2sttilWV|Hu~8ECfrWwaq&(!hgDXW=%r3!EL)9T;;v`H$I*u!JWFP{RdJ|?
zqfQ9&4$V_1<(Tn+HXQxc-3(zWg)UpZti@=i^Zc58X7o+wkcHovLR~Q7d;Gj0@;Xm{
zaCKt=)ijAsNZS-I9~g-~h9Gt-tN8FS>iSS>rM8-C0yb~%4o-Ukls~gp71d$G&7)ry
znYc}`t5u}<<pzFmf8nlmvtx&a&EziQ3&x;mKMWfW<%7oaJ*AZ)9C%r@|4r4L5!NJI
ze{|~Og;C~E%EUWP><_48FFtJq<BkKWSAuvk%6@&ti^2uG*#P}{L!>>lUw_Yp7xT&?
z+o+|Cd4FOweRsGaa(EU#7OC@MpV9M6W3Ie7+w%Og3$Gzaw+Lp66)(uz)P*tuegr!&
zd0M3#K;!%{`Rheqw2rCSagGRJ$?&L(JJkROikf@k|M4Pj%D?2>s30O~ryY7eQK9zL
z*C8*Q4`G)+CLLW`3w~yQCN5tpSe2YTpP2H4%Tb`cT}l|Tq5Pk;#i{sq^K|ejNdauK
z|5bL_Q3Phmk%oD-6jZh@n=%UuqP3#ptLrsUe3Z>R*%wT~x{}mO9eIM7`%h4B{4aw?
z8(6J(8c@)CNUSJ&%UXO7ofr-EkU-e%{?*i3eN0<CQ1lQKf|HGrl>Bc=Sd<-$+W1Bv
z7qs4&G!F>j*_<iU$W>{$TWZ+Ir|QGt>FBUqgD~v>jATD{l*JKm8=cY9`p7rFl@<6w
z1b4?wPt2&ugLTSiUyg@9nnY+(X+5H7QgLdTi&wzK!jR4DcjzPC_QFnZiDSDacS80x
zMXcAi-aNNUADU%<_Y^xwz(s0*?tHEi=6I62=8owjr+tU2{C!De+}><1@m3knxBT+U
zjMIl;z@yiGLee-!qVwGOrvm;y1)W_L`f%c{uiKa^gL8Yy;ujUvkh|?yei{=6<w5ly
z{-eraX|2_S$}V*zwU5z$?xNsKqssaA0eRT`6}Mx%rhzzeIcq^31p*2meYBbt@SscY
z74cpZ;e$l9*(NGp{Rr^fR-p)G%g5(g7PRnB;3a>~4=PL^3CrGptb~r|&KLb;w9)tO
z)!*DS0~p(=lRGk$(If1Brd(48{e3^f&UqW+RC7W&<+=*&lD%XLBy~|3@JqeI#Ryka
z{F!%OQpHVYw``vQT^Q9%&#E~aqu}b5t0(=`u;=gaxyti;$Z-AM8|7gFskm@ep>68;
zF#Mc5wpR}uH^neTMVX?xKC$4mss>ygvajeekufhQ9+dyW48mL|dM*uUV5dQll-hrK
z$a$-gwCSHY5;xSP2*zqc>u`k9x5Ik4o04(zt-1wxdjo@b__d%bnIk2ar3=OPlSi`L
zED?Fk=WL6w7WNO0wD(<Q)aBVxxf(`;kNy+$b5FEj-L~OF3Pl^viCXhf>lwV*>hz1J
zN(+A3Q(mSiS{P3-EPP!B@K-c=6Zf@{b0RT-iLQY@=1g7|RV$R-KB`Q0*TP1ty>IUk
zYWUgI7&d>}3KK^-_<VkAf;lB=%JYE=Y!l_!m5Z&Q5jwlQ*+mlpt@V!-qm^)7MC8cS
zH!G-q&vKVY)<CDYc_8001<dtd5%@A<h0$k*@}q_7Xt23<p|(;6w(~aPKL@NZn}EE=
z7i!?Rziq4OumsAdB}&8_tS}s&=bM(RiUHT29z}Oi{HQKJpL?Idqj*xXSF{QqUdv=j
z))j&q=a+1W6IPJe=dUljPZ>_{GZi9g_;GxVkR}_+3b|qvD)tm5bgvu>-20CU&2}5D
z`g?(;<=aA&oQep`9UmO(V#m)@zLzJj0N0o+1Lo`G@%y#tz`-aMglt@-m>2_=@w*c=
zl4ZffoZ7webd~li!)tHlYZ_XPS(_aSl!nok;;sF$i?qPxGx5o+G_b$*QZoyZgx0w)
z#rIFo(YAfr+91El5_=k+SIplO$N7vO#m8J{Xq@ab3sToDaQTAg!^Tcg<V71Ler1}b
zEjc?zzVBLx_X-J(Beo(qoxGB;x_63}pdM!~sksheq0>GEO+u*OTXVzGX^NIo<Hk}H
zY>qY7o5&qeYq2wuyUgj;6fO1ACsB?DGnhI@oXK?)gqQoJMBjvI+9svz!~2!ZFn#pl
zyRW(YSW&7zu>HjhEmmh>^WQL2tUJ9mIp7;F)|z+>^s3I$vYv7Iz3VZ-+NQh791c9-
zaBti@*fdXj>Sr3dVr>GsBV4bIX1T!RbtbK|c#*cze$)Gu$HqwM8(GZnT7wh*yyZ7)
zmT6yX>k1PjjBzXdch%ZiP8{4GR5ZG<N^`I)F&n;Ygckz=&aO6`C@5-G-k`&br^|n}
zvsVqVv3f%Kauo+E{vK=H?91S?jAHDY5JQ+g+5Cv#lLKKEtNKlKtoV1*`kBj|0g_+d
z8A>wdz>yl#`%Hay@QX|CaXo8*-Jaez`1LtZSy3y%S;T>ye>;MDSPYQ%{bWR!3kTM{
zwN<LIUjs=_i!ruDDk8X!yvw`6ft0T^>qi#2U?}(N(V#pP3Z0jmd{;PdHB!E`zn%vP
zxB5?Jzo6jg)032xI8K;4$}74T^MO!o7Ci1k0nV2{uQFYO$Tp87>j?p5CJk1EjOoLB
z$9T~w4;T2CJ%@Vc1o43C7bI|#G3U#6F9$MngWquQYK*E7_SuVm2(!}1XWM&I!%{rR
zQ}iBdJ}QjK>HLoxlVr@j%hpuc&5Pt$@m-gyMX*ZMLil4clDam@I#%*wOs$>wkbxLh
zJ6*(ieaQItdHvkWjRGi<lj6{>5l2*fxr{f34A0wk<7dMJaq_~Y!%4>_5w@DzyM={}
zG>3t=y(iY<-;SIw@`loQcsu%nUYQ=&ye!rB4-kU&+}~OwSy?>m8RPZ{(}T+A$agA9
z!YJ5y(O_6r9@kj!7a!WI2mV{Edw$f4AR_hB<zM*<2%i{#Q@l+NMdFrHX+mQ7KJV>*
zh2cSkCgt`LNA;i{_lv|8%E)hqBRiH=88MLq7a!i%!#=yAs=7r9Jb1k2s(`%;TulxX
zH2!1cb9BjEGgS)TvmIK>(^Qcc#8D?<$T$b-IdS#PGSDiXtU9)&28-FOmaZ5wylSlG
zOcmt7mXpH1_J{^!&V|gEjFS-(JC!WUu7F}uPx-VaO$M)X&fW{uN0`8!_H=edSf-hY
zRntfqoL=II6rv!o>3yZPpc1H(M|bz-YQw<RLw&h{f}7-XvG0|XAuHqbd2~q!7fkN(
zJLFQali7{<WTt{Ij-hIy=6a|jD<v>7__a`4cdE~o;X4XnhTTbIyt%1t)LCc<-E=(Y
zJFbQ^TI8~TEHdt0i5NQl-3T?0WPkoWuMQ6tL)*rAGIYxKrHkmA;ODk&TTex5Kr3D>
z+D4bLPmBt@^-MHH`E9$Mlt4|WttnvEFxAJ|XAL!hOy;<~>vDdYqZWePx#@MH`tY|W
z+V6#|!$*T~p-DCp)-m0Z9wW$bx-XU9F>Zkqeew>)H%SQXjOPt8C1aI8Zj5z54gYNn
z99mc;Au){_Zpy3&*9s96n>~Omx8=DBJ#Davx<qa_&_R5M|2PN3Up7}g;L>Nr$2yM7
z4@!`*&CXv*Gt3Gnc#Au@=SYaw(SKdf;FL(oP~ERTR?u{gs3zh_cr5Rc^?RKf<}NlU
zRlph=c6<u4Kegada%i<MR~i4YM}GGVwnp(M%HLxWS}-Wcd}Aq~2-!)pjZlg;ehw=Q
zF3D)Zx52S#NKzJ22a1xFZdk)Dm4(8#!r;5Rl+)II60o)rs9ij7jWsRGqN_Cw?`q5I
z{=+7Mi8C)minmzf{Iq9eX@DwHYuhUbIYInLPfM&2wnoXD0<?&$;M1FDH@LjH@OZMP
zEVJGU8>A0c#+ND~ck9?)p%hkZ@Rs`a+SdyIn660d-k}J3znhV?_cE>d(%;h(LRP3h
zu2EAkFOTH)q!OH)rX`8nweKhZr0&U_-{md~J`?Rfl|KJyYTqPhGd3_dwZ&h8r&kIc
zsvW$vFN3t56MC`EbQ+AJnm5=-Nq}-trDh?flh&F<=RY@UiAtgU%EK;VNLRTdz}ong
zrW+i*@=VbZ)%>5UOgD(&S%Lb~Ujg+r4}+>t*l7X9tFy1%yo8Y4x7|~HTQ!Zn^rq<A
z<aH=@WK-BxB8b<n2TI(830jc9Lg?eq=IHBgF6(pU2f@7S-$Gdp&CD|0!%f&6x;48m
zL|@~9*)8$v+dl7T8@?SAFyCtiyESLzmSnlm6*%Yj&hiWG$aG?o<0DhJW#%1ZVR)VY
zf!>sZdabl+-8CJd%O?1muw=W+%Z^4K(b$zw9khY$w*I{BjClD5HT|Qk2)>_Zu_mOC
zrb%wLeo|zN*m=vi_9bSdp1-z9y<&iNGQ*tnh=?&B?HtY8`ko2f%$%7cRe#Wmsd3^@
zLX9AFCUHI}X_fZ8M&?@m(_b{-vZmsFLxwma9O*jrYnhg{t1X;!%RgGj1N{x|u7;?2
z;W>Zc&Jyhr-zvKx=QvH^CFyH?y#Y2SUS1MTU8Ef^`BS7gIYB#WT_M<HX@JV{VZNd6
z1sdDQAp!e;Q#4Lqa+36GDxPpDMqcz>pz()1^%-24p;at-=I=D6;`Cpm>j!ieXl3Cg
zF{{$^v{M6y7egv2SRUOx|6F&0=9{)~)olABZCg*bd9V!yng0&gA3VB1OAdaLQub(>
z_UDm5^X5<b=s!%g7jIplrCg&mM+-8+)>!w@@?L#>m<%|hczTiMR`Yzry?x9`A=SQ!
z870G2-!Aa1{Ss|;HO72j4GZ@CiBFroL`M1N6Njpu8U1>f)A5ld8^Z71d9_!8j3}A%
zc2e{Tjk9*2dUhK-W}3N$?=tr2f4zRQabv5rlUI}nQm=3#+q}N-ON}mq6C5a63?ClT
zZmE_y%7yZ3ujPk=x=7mII;K>_jI&V!OhcYLDD>|A9d}d*RSs`9@w{R|Vuq&SViF$=
zt-MI%_1aMI%RSQ9&5A#}o>X1`DS$*{tutpBd+|#5-|pi|?AT)TYh#ib!v{M)5*_&@
ztRXRFRmF0kef~|eN}3Q}+>KmX)gYnEdeaV7;WgMRafoG7S_FdL`&$-Dwcr}ESA<;4
z1<HeT!Qcvp59XfSF1k$%zVe1YA7=1?6>a=x;o{)#-I4umMHBaK#^t8u@<Bo)@$c(n
zlGxew@R3-BCh~N~DT-YJP~}|M=y_Heh8!7RrxG;L{mf`XlhRsP=Bq{pm&wANOMdfg
zfF@=hiL2K73t>LIf&NcG0U8-y!@P_+-W(sAey3L$>8F&>vg}br(Mc(%J4u?T{m!|2
z(OVSBJO5~JuT(<+lN*$%Mn*oYrDSh0akSd-E!7#RK(x8d&qz-TdShEW$paEtoX;-0
zTBnLenR;s8Yb^+U+QeqjB!vwMiUVvu>Tpb26m<+Dfh$edX?Z{fb(0aJM-(-YAvf(S
zbVM6AE4i-P67ukEVq!}e(!yMu?Eoc72X9sn<TsQmK+3(m^Zs*f*mgWPw!EZ^0r|Hf
z6Jv}$+&{3i|GX}CeZ1*iy^D+$SBIv%Cd&Bqb;l!lMnAp2e%I^jZhaJ+#m~&gslYSz
z!IJt68SmzEh#!#@q|&%+3<p(lu+jBz`YU}bBuN~sX{90|`xloBO&zYg#kiLaP#}5Y
z7)Qz$Lj)ZTC-L9Zz%kR-qLCpAY_I4K{Woa@8On{Ig+5JqO1^e3FsC9j;qy#hnF(fd
zoy)_;N%(2bAOCAN6(XxY1vcL>L({>VvASe!R8FnzJ!L|L**?y}jgjl{&2ZmYX+<3<
zU+gE_e5K&*l8p5MKTEhP@pcFI>0rpVvoAxD0<NPACmw17Mkyu2IHHT_?rfzBEq(O0
zCP)nMSRuq-QFk<77uhzay<-OTp!7afbz8d?`l-L#%<nVeAGYOsvFX60p;P*Elr^KT
z3rDhCby5C(Mc(s^Cc3zupCtHg@I5y&<wb=K#&=DPKJik+_2bhCPyB2UD=XEg*{hAN
zvr>&_qe=*K_VhjT#0I@8-!o%tNT56(>)*{K5Bkm<B0C5hSYP?m_285iJo^mhXW}F<
z74}0qxX=a;<ZQLsF%4LjTx=0a62e~Qm1kiQHn3Tkx%+gBIv%YErgop?2K6p8bB~D)
zzGRjeilnO|VIPfDtjvr}bon&9E^CAw3t#B&Rz}TA?53Hk6SR+d4i+kY)~J&I-cTT`
zgrs(#>Wv|7w6En^!CRKB@ZBTWy790AI(%F<i%vJuTO~<SJrP!r<L|3o2$02}Q<ptd
zlYi2S#WNz<*{$&4!X5nuTPakXXcBh#IzeY6g{?J?1^TjYtWa#lF&Wb~%d0+1Z<NXR
z*5w0U7#<IQa9RX0^Id$wVheQiw9Bh%(U9@ZNnN>jEw~3}+E|7c>EXx!?9{fh#1V-F
zZIxwyq<HHEZ)sVg*Ej?}*7C4`ilg<3mIvH8(ANFxhWIjFK+$u^J!Ty=IbLm8tYmnN
z=;7P>-AnYmFMaw&rRJ#75AjJhW<}~!QAncW5`E-;?z;ZJW{B#|S34@e1VQ!)1Lup2
zbTRv-&RA_ToGx(BR6M^xvt0MukbY-@zJcTMXET3ObZ?XxJ$rVVc7GFP@A<rWda}$_
zxtJ;w=-baZEpm_3j6X2nsdzC*&rq8WWLawhN&l6)cc#B+v$Or>f-ST31J!Jg?T;Cw
zVMknPm)!vE#%lMHEcYyZKYz_0)_Nlp=q#uAT6EBA8(K>!`)25u8a7(=X&Pa1gNVD+
z(@!*WyJD7)Ez@-W&^@p2BpYH%<N3w()KZ#6#8Vw6ziE1yPm}!2vH?UczS|$Nnop-4
zE9@CEn5OeyjV-7=X#fTBy8$m^-_j2#d-=61PSdA9bfml)pkk&`An{PcS9-gla&no;
zG+pDaKUd#gD%>5P>G7F;qvtgGQB^{x>9_A?hmHM5LGae+4zAig^n%s&mV3j~^v3v>
zg*G<|?z`Pjf8E<p_f&Y9|1xZbE`0Im&5&MwP}}?8+>IWjM=-OSO4-cPn<>(AHAnSf
zzelGfUF-+lbj0h+Q-e7=>mJo_=?wp>N-K}gx$~2LMO39Y-*ujT_~MUa%aLTvs9wox
zl=(xi@Hu39D`$azO!;nCizpeDuT_k1=KZ5vboWLDs4dZB)-i<}@6rR?;U8x&+#92p
zZEuRm>sqF}sByI2iPy!A$7eluE{xO92Ku}f`>;yCGFMvK^i~I$wjSg<GD)9!%TJY<
zXCea9qmTdK&_TdU<DBZjDY{-1jp>Xw3$ZLp>-_Dkjo^uoeUH!2&|5Q=H~B`e5)s?Z
z$gHN5@W_lb!@;QMQ<eRny9;bYNsw`<^OP3M3_J|UybJX5gijNLcQ}Z9*FLm~Z`Fcx
zm4wQ3?j<^llh(#7N7fKt6MwHiDbqwq!(RnQgB7|FW0NKC<0g{W$M}O(HL(z_pvSg>
ziExdbr@V{hCDiL%K1|)!z>eC~xQwgJMA%Iq--kc>3BxDCM?OnypmN7RcjF`rAsBju
zt+qyx`0h~__$gN%Da${C(n8pXw(vsYC0U3_I3;^}#7rG~TQUfHWe%cT_>uFWYGJ}K
z<@)f(E;Y=KIc7UfaS~n5JD=S;BTDe5hd<vPuZAo>c4^l!F5*SPS0>vX;>0~?cAii6
zYN+$;Ot+KfC5AL3><)TJ5(c)<>kA~+u+Cq3qe%!qQFo4gY#>#dm<%Y?@>*6!&oJ|p
zVT>SQ6s+lTgGG+$^pIQqHmiz-o3&=?qiczmw)_r@n-vI`k*~K7@~WYhe?^%&SeU5$
z?ALVhl_K$et<2(_r5eb__NOl@i4vaPvfm>tm5F{oF*Zty8jQ?t@G6gs5z5-$AK7|U
zh=kItn_JeZ!(b_TBx6W|XwV|*?6{*w2=npDxKyYkHu0W~3$rvqQ7CMEaZ-aAdF!#G
zopH|ZQWBQuZDolv>3**@yS0eyaVnL}xUUVv@22Am<q1t1xjMvEo3Q4vuaFWWVORQ8
z$#F$Rg7XgfoS2&~@h!opF@|7p&O_NI>zop?&&zX6pG+nqyeF(kRk}DF=XT@a4`qT!
zD`#DVjy^F_on7}Yj*PjT-&=I{s}j|nHzbW^Da3H~DX~Mt`Y?HC%p2XKMzCH`9b1^D
z5U<a8Xy^M=;ql>VW#WDfVwV1Kg6%1lu%8NAozOLe<4k#KN{1$4_IzS8!pMMVCF@=2
z5I4r%jMXfs^(5k;4NtjMv;ko?adua+nkh<I7H9cWwTbM(=7o|Z17fS!R~^kQ=9mLZ
zwOXwXk#zLD0NK%ixSA^ypmEs(d=FF#0;_b1+;`r^TZ*W}TN6k6`brw(ox1xQoz)}m
zKYf?6y_%6f$CYb+e}I?ke}&GE>JjOV3ctC}>l1Zzx7TqDSwZNHVW$H(nfNigwa}?Y
zk8t-KKIB<x4U=UxTi!uE;-JrG(q$)YLQmUsY5ar@jvJ;$E4%9v*RI)@$TRMX`QS@G
z$#EOVg&mE`j?^Wb?jF#%>#ah(7JdAEr>!km#P{Ep+oMBB%Z@#<I-x*lg`BZ<^0I|o
zQ%>5UF%pquSsOfLEJ^$i0096043~E})qfPn?Y;Modu{h}uf4zL8kzAcBT*U2NJUZ-
z8YohdXc84=MG}SZ{ggzA$S6@{BqMu|e*Qhrd7g95AMf}3yh^WB@A3DtfSYbcr&AnM
z5lk;!l~ENycbL^0v@|V%o+Mx)9IK41C?rA4*Q|&yRXpeNusJAszdHCNT@lgS?p}I+
zV-^1$HS7E6oH=ykpLcjYkw+H1+K0po`f&f0r=8KP<}mi`Go9Qs0^+zW#pD+86N4TD
zs^cXy@W04iB~T@ccmk~ser%e@X!p#Mj5lfUc<HI>VzD%e!FSH@o8Q3P3}kfdPtri}
z{jtTv!V*Y|WMSITPY<lUhM}S303!1D*^^5|P*m3e;bRs|z?f3xU+xRwV8i{!;j$ol
zRBkr@sGk|q<NpxLK46eCR)W{v<3o{jk!<Q+Eb#re=@(+FDHtTtH173qq8Jw$m9X8c
z@cKfVi1mO8h&UcS#<<La4srI*8lPl^s~2;YWHyaq@M3_3brJ*GUqRHEaA5_3X@Oxo
zd1Gk1dtZKDX%j!9Mz}M_%L=vuv~bMD2+XUen#x(0@bmNFdi*5|talU#IVBsygIoLs
z@pjXAqiIt*a$tcf>9bb-?FK+c{FV_uI)tmozH%c^F~ha1ux=n_0FKFQmYQK-@Cz3c
z^8)TLL;Kv&sm^2i@DNKVi+4}M^@4-X2s<;wWku3^<qvwW;iajz%F>D{jpQY0DKo?E
z)Bon*%j<#r0ehaNynf7S6yF;y$_#0r4`o?j(S@jeN6*lQjbKl*pYD7u&kS)toA5*P
zIv~B9{^hag2`o&g?Dp(#X1KS(qub@90~<{8d{vibFxRv@^R*9|!5Zh^71*N<YqF9@
zk4esB%#MC4-U2Kz^*zUX<v(p8ZSH?$dUX*KyssTQmCFKqI6E5-w`svHfusGee=cLO
ziSEQBKCDo2_`z!C9xW&#Cyb^M*06tp^JhlP*nq<DO)$Mz6EO2uYVZCHOx|U!F~OD{
zJim!NcK6qWLxrD*CvR_I7MHVbJw3|-{}#?y{9d8L&HQT-E=TF0c7POD-^mH_NipuO
z$y6vyRP=b8Mi07D+4_0z+^|S^My^+-f&={zWYNd~l?MY(?cw2tfeM9)gUuA+7`*Fi
z&A|jNQJd||5qxmZHu~hg6BKxv+lfmZWCpXNG%t-femFuGH@GfE0Y<LQ0)_?_5Fl_=
zaTW-Gf>@TI{sRq&<k(lOY0U<o>~5_~PYMFl1rz$6+#1lqRjoNR%ntQux31IM3q$#m
zSEkHWb>K-kOt62*31TU2UwxWIplWjG^t7ltc>icf&5!1WDqXwPg&;AQ`gGvQj&d@@
zJT4^~UEqaBuUr2d(vW}%)w5B1e92HnV{>@e#RsF1ENCVw1p=M1LSaf|u#^Zrx=JSi
zE^;ZmXXIs|PN#<%rz685b)sOkxgbcS?oGu>vH)(h5AWwlU^n>nT40tCbam_)t8<rw
zUqghNu<ia|9(10Eg++k!*m*2Eg8*sMdFgUwGT0B@^B#FB3SsGc+rwswz-1itJT{69
zpS8Zo_dAP2R>6s;`)&%*^L{zx)f^c(8Kh>0c1Qwa$Tb7vXGNGUlVR0JQ-^<Q9MwW>
z(x6c2>Fea83{9i4LwScaV9UP>|IM`ns&&2<It;78qVuD823-o+@Adr{b6XZTTb3CI
z!_{ChU_*_on*!RJT-F>f<=}F#yM#SE8NM(`(==~ULG8Y$0Iin*J!WyE(l^v$%uwm!
z{!^M@H&UDUgk2tFN|!gd=qbQf_b8`7Tnp%=_P!l5QGlPK(p3-hDd74>Fhb>lHXI6S
zt3;uS;6cw{z-UB;Jxp)3<A!xWjIPw3H(Lq*D0H3uSwsb!(<jA??DW97#Z#xOQ5ljP
z2Rd@ssL-~yTRNpx9|rV!Z`SmwKu%EP6)_1-xIgo?Lcre;iYo4%N$XLC>Zhxkoy?km
zZV?lgxr|}@kzlCJ3pL2Ht^X`iNd;cNFe9#4Cg9hQ<FMgPf|$)qS^iWiY_?B-NOZ-3
z>8@YWzF#DWmyB#92UFlHj4b{N0pOk1>mZQG;Lo=-A~2~ATRP;7cm)~+Q(rp2G$g}c
z6{EvN_edafkWJLHjs{Bm6Wfn-lA%ki*Cb<21>7x067E@=!GF1@gE=xufO`BKlNFWV
zLE-$nt~@iapF4IxdqE9eiA61h>dAu&>*_I|2{VvU)^mL*s0L{(nP+vZ<UneutJaR&
z9EdM03=Yt%!uxg(yZzs#AWe9qO^44Myh0x?m(?r7`q-zy(P&Zdn>R1!UN!^%CNIa(
zKqYv@?lSQpO#l`Z)LI|an?ZN+7oXZi1;}L%Sv=>@1y5PxVzn=rK~1WwTlz_Pz#rYt
zH*97C`5B!=F*P$d)%GIg^aKGGqH9aCpKo9sjF+8!nrP56kreRNR}PrGST~26=dfPV
z{IgPT8ce;hZt!i{0i90lP342XFlhx&8HojeL9zhl<{v4j9x#?U*k6ym-pf7C7YD%g
zt;97@MFO0+#N5w6eTUZwdkdWt1n@n?DK(rT3NgINl0O!D@T2*+gOjZ=u>3Q2U`tUL
zKJ=-l*v|~$FD+Lq+Ja1B=?<^|+PDDh5_34;wLFA(6qSZB-7*20z&ly_KlmU*P0}hP
zbOh%%nBbbNGX^p8(RzPI9_Up46Qf){g5MsI_gPsn0tdJ52QQy+fZ>jxnQ3ez_=)c_
zj}5eqVC~%banFaWpuFB`6_`JS_Yv>#=bkczu)3<L?7vJfan+{p<i|nWaPXdpXpI59
ziAO&rt};MBZ>ms=+)rHkp!%i%I1E5UYDkGAgbut?>PqNMdvVv$SsB3t`e449_eN7=
z6Z;d4B7ci@;Y?m#D$?b85GA|&^7`^B_Gg8S!LO(dx7lC#OI<(@+O1D7>1ZrtQOYd$
z9f|dL=e?UjTw%KKhzj94O$*r9qR6P~<K?(0<5KClUL7D+G{~&g&S74^=bTuUg7MAk
zktI%+Ixv@&ZD`3fiyd9qTl`|W6iYqnX>_nm8yK7nTdj%H*xCAuKO>|%Ecl;s{wXDG
zFlx6g8?T+jiZ#j-u<RC0N2|*DRHhcJ_3R96{4|dFuzQKJ&vjr-DGIX2;#%N$?Bbhd
z^FLUK;Ehu2b3K^aE@rxCcQnCcSliB1WDGmLc!@uD>pNDXC!Urst_g!mlLy_6e`5(-
zd8N#z1DG&FZM$UFwtoz>{1`79#popZ{v}`dg*Ekupa~@^us6p%Kj%A&Z6qt^9%vcH
zw7b`>n93;d><#~kBKJ{@bbpiCNa;7$#kZ4pk2wYMHj+$;*G92b>VKm~cm80Ns&-wM
z3pK#cFqAE6aTJR*GODR0Ok(zoVJ~iUt3!f8{N&}d-xzY28gl*o7rXzThr|<Bb@*gN
zUv$lX45Q>Kt;Kwq!5VkC2^5-=;YiHU8<WTWU>5HV?Bm!whpA5Bu}P66Air-esLmb7
z7Czja%~+bpcz(PpG^$kt9|o?h4&g~`bIj=Ho>z<5>o;GX<g=&&X)v(6rg93yyL|T~
z-e1O!O8k{-cUFZcmOO>`x27?c=)ym<xvSXSl0S;2c`D#2mlhb(J%c6h=$lI&TE~7R
zZ|reqP=VaEoFyOnIjphlz?olrwy@u+o%0Re%1}NM`*(WRJT@@Z|8Fpw4)&bac%jsw
z1l(7mt{2rVV0-SI4Ek@59{e2t9lx)s1Q+^q)^E8kVfwCVUiyiQkoZX^-6cm6;y=F?
z;1XZKIBPF?`Pwjp-ps;cmXsn)?vLjiWM9L+H+MNMXt9Eyt=`|xbOmtl6P$G?Z(why
zA9o&dV24^u^Jf7B1@JOd+-H=qh0QVDm`;Ac3AcA^{hch4hqmj2hli5s!1ZOB%^O7?
z_|S!VMXcq)rGjo`WP=_mY+hrH;e5a=IIvhhMg)b-V|C8g8R5<Cr?2?_@q=QJwI5d+
z5e$gx`2|+YkbUdA$cblyaLsYNM&FJIi&x_~o|9NXI8K?)F;*Ddz3svWd5I8Ot-SLz
zjUDut(#EOrqTsZv-g$0_06zT=UY?1ZAnMor{N)>Q7%)wF`{pA7c7O43<l*9hP2KX4
zKzS+XG5uo5^qv4Am)P)<!+bF4!0qwwy$sN8@ZXp0CIG9*s#nP<KO|+uKb~xpg)<?e
z?bD1zD8)Y1r(6{T#?rD%iTwm9?tW}S*h7R@6+!h~uEIcizeaq+Di5WuO<R&5h;VQ&
zNaw4qD6D8dxHH$G0O3AgmSp_oVJ8xCe-<bXj#j!i7pj#Y<0F>mXrKW1(+^Zml}Uok
z*}~<*Iu)3mV$LbGQiM$I3eH%v4Aj>BE7?7y2C?VP5=8DR!M^9ikMaU#Aw9G7%ABw|
z7>;KVei&@$@m5di@eVm4+m57!sZiki<q#~Fq6U1ij+Mt9i4ZiZp{Zs?g)lW$=9lqg
zm`}$G`}^gATQ%3nWxpnz&DnD$fk*+1=c*?XA{0UDbiV}IQwyZaXDOytR7h2*eUT=m
z3<Zuk@$=@|@IhO+cPT*&xEyQD9dH#8JHOPewW$sACu?u5C2jxbW(%o2ZfX!L+GFVz
zr2|>){``#Z^}v3@U)kY137AB)Q+rBvz{tq(_<1=)pkwE+nK4oah$1Vwr0RgdkN*fN
zca1@CkL!!CK^kx_o}H~!PzNmL|NSKjW55zFcf&`W0?NNLYpc|?p{zgJXbJ)7C{0{`
zeSrc(6KW~7BbxBzrqhM4Uo^;&Ti-gAOMxSircuXfRQSqu?;T;-3{s=L`EO@ZAjz5I
zseiUQMCS-LQmV{h;09)s?@NK^DBrKI-BjT=B=ivuSU{U%QC0JT2558B>0Rzp00-RI
z?qj0`_?9v2&(*7ggq-!?p<QxtMRkt6xM2bH7jz9At;o=~<FSXtkT`g6xh|46E#S75
zqyLS|YM}nlJ9D6wA6h+wFZH)sKtu1rR!CKWo(l&r`jeO;5Am!(v;`0vrF|o#mEhaC
zxCXNKES6E$L}$!n0inBj_SZWrz>Hn1)hU%0+%L4~tKU^~=r5@+AuAEVbN6OaT*LxC
z&v8G<bHfbI>I+m>)5(G5cZvb?C>@eF8+~)c-wgJqJ#ReNEe*_kLRQ2@W;CZFLvwGZ
zfd)JA+`xBna9eD-;GD~j$X?~I9+}YK>zuktgp>$;c<553VaSCPtg~kliUE#OpXPnc
z6o7SIwZfd=+$inio527D0Ew9D4&N3YIAP-w_+p3$S!9hK`D}?nw(lXy(NQ*Vn;cp7
z_TWVaSU8_}JD38;-)p-rZ2Ow`-)7zyVZ5k$-+Yg*uL%g<Vc8@e+Qb3^JtAfuc+uU0
zl53AH8v}`XGvsOB0=7%yuiOPjUiADQ{i(V#Bakx+dSUVO4|Z_wCtK=M9wd%yQ=U&5
z!ftnzA#2!!QP=9EIIMZl)_D)>Xo?}+IA6d*JC})<HqXD)T;N984d0U8q6~m%-=7M;
zV_)%)oaf6<mvJM#xZdcv&-!qVvLc$f4XqmHiIwxo+{i}!LYgN@AFeq(D!3Usjq`}v
z-rBgzjnrQ+J0D8c1Kku^x<h^Q_>T(yUvba4k+*GD7hzQw`kou+733`AS<x?b&Th{g
z8f|@L9jFTo)){f<2<v!G$P;F6KOU5x?l+tEQwLu8v)XVT-omdZdp??A;6-VaUCq57
zI-qFv<Bn<#9V)2sbU)F;i)eqdr2qA6!}*|}d^vgy=*Q5FFC*T3D2%<EVfnB&6!O!o
zMspbvvrnKm=OQ1Xdl0|)VO|R!cD=n2EXa%ws|H>)c*u`T4I;c^;<X^X%{<KcJPXok
zHJxDh6+ol<${BWYT41yM;EDYVD`I<g>83nQ5UJgmcXEEK3C0c0dbLN`Q6sGhr|Ao!
zc5fm3AKP5~seQPiagGBmWq&PEu@y%4zS0+sg*D-L#E}_?Yg|bG8U?)w7eR};EcZG;
zQlazyCy6aX9&~Toe(BX)Q6zTIBSZEw6$DBj5LD^;kj39UO~NYTNHRBMqQsU8Gw`yw
zeU1-F>uptK7E7QwS1C_*F)BoO9v)&_;741x#dfheNum4Kv!nM<Q=ossrOA#(5Pckz
z8}1g7K_lhUk0sl;IXX3Zd0kZqC0Bgyc39hijK2PuI#Nr4IQE;29*2Zc4>NY{>6R=a
zMT)%)te`*@*Yz_oB_inVTuo3KF99{?7VmIF6v)3k-svVNhEha3Z7ej1$X}`D{_UP^
z-wB<viM=L{&e%;?-Q6#bI5hQKv;R>*zW(YjCn-r}B>O^i?3Mz``NZQPY)FN2`r4kC
z@1)Qdj#Ql=Ulq}Jf|6-k0u@RVr5QQS%OHXpXViXzGIGzlezkd$3jexHI(d|3(J6^T
zB=_SgsIF3L(k(y}#x!Zt>*8`~Z$V*U!)sM!s}?O*wxJ2vv`6y$1PSO@n%RdlD{AO~
zs=^p=p%z#T(}lbjBqEQ+0D`0n8RdT+bI=achQAesWKB_d<hgUg0Hdj+E57#QyWMnP
z$5KoJo1_BrHt_j#R!;*dXq2pfcGZQer}CxaB^8nLfGE~YM?sq&r?DN!^}wW_e)ldR
zB~<RT@5>8Y3X*uIK5{W#AJUiX>H_GLkq41RGzg<0nZ?DIbG-&|>j;rPv{xC`46l9t
ze1?Lg|MlkcDH(yWB`1Gnh6>U%x2ZzT6cpjJGm#Ww43`hyn7&9;MZ!PJOfs1%XlKSl
zgEJpZAR^#Ir$e18Iw`)+?Jlf=0$Q^8_VZ#O<YaMGOIi&T7oKUcYa%1BW@ufO1@LH3
zE>*QtLjt<tR)rK2irs2c-}wySyy*PjL$+!NBpd_;oK#UkK$}JRHlJ!#^JZTZS3^m0
z)zg<SWt5>$t`kqBf!aj)SWSg0G7)c3zQm%4&WQMz81~Sh_`SdDtcogn;L-Qtb0rbI
z*7tFk=QM+^92U8=Au8yl>Aj0GL2_uSwyH~C*$gCh(4S&SQAX0GwUxClGU$_iWEvCM
z45+28udP#*(2>ibq*xvaRNt+gq9kPoM@pZ*%?wvW3k>(GxkW{gh-SoJ-W3|u<Fnt(
zZ55CiLCN6wc>$#NNyg*KHb>J0a}R0r%OgIOJIaqA^Pq15^NSZQ(tx3qwJW%tfDAR=
znMiW%Xy???#tv;7T>m1lUn^yMze)bzQD>OYw9yYW`2m2}2Jt?3U1X8<3;n&ES#(Ir
z{B(2kB>?%1j!y%YGH9U{e5N_q@yBNc*6WqF>k(Tmk*ku(=X)?8QFjS<Vtzh+I2i-h
zRBB#mvp70lZum^>)*N0F$fi*7$rQ3Y%3sysqG+C-I8j75gP+u!p^xM;g{_+PcZ}bJ
zk<LTo>;pNI_%2QPLgFqHSf4s-+aM-{)cjR8oSMh+1wAG2>Kn%JMK8Mh*7p6i&g^_q
zI^%eWbBw`yj}f?VKR=|)&5u%>nG`ni$MLJ;5eBYABM3^+OwPZ^iz347Bm`F`@b~@i
zOoUDv!uhS0;@z6uXxvPY^~cf_{wV!jwtIsC5E2A^sVbbPPLxaRnAr^8{={%mPu2j~
zNlt9feAv-RF~*$_>t^v9V&+z1v_53c$`4NVvLX#LP5QjBd7N=NvcBl29#pFS8{@go
zf{N(v(wlZI;_C9n?HW7vAR)=&g7Fz<bjybLIm2cd4~)hr#22~{`L2(%@fH*EGL2k+
z?z@WHvbx7d$m#;$)r2diLyXAOA}!1M!8%@f#41KHO$W?|zlfbWz=&cTA5TlqZ{mn{
z^ph-?4*WVe;&qdr5xMkGbyBqG(3P`0KKUeQ!@(osPlP@(AnMWZl!9n_v_~dgV}eZ^
z=wtd!yJ{Ga>aCCQyS_1?Rp#XrHAz}9>%=6^(ZPU<M;GfIt(lO*;Xi@DM6@7l%<;J;
z8zZ`5Y?9L7!i=6__XY!UG(r1x>BcEfMwF$+(-9oViiRGwIQr>of*-l%*{^O!)UO(D
z`CgVCeXQ*&TW+DkhkYkLs~%@UG78#`J&PQuHX$k7EPx8KI~2^!6qu1`2ivb76I>`I
zSSk868x@)^J?c8X!Hm|GxhE}Icv12AxzSHW6nM)QzTa|z1%(JIcRJ<pp~Ig}Mc;6v
zz--~{nWx-r=;dUYz~S%ws8_tVQ;3}c=46u68yj}CJC8oYPE`<D>*YmUI<Emb!^7<}
z`5Z{`)_6F3st{V9O{`Q~Q-=#q31tf!T!_zGz%+MTkGw1`X0%v!=uENGDemV+gY$h-
zYE_~r)8p=jjFdXG&-pj%mGdI0-kz7&qQsHu-RmoEAIQKG!Z>!Mj}I{|w)f|FNg`7-
zSB?*{WUzR9;_#_Oe$+5E<1H2-jZPbuJ&JcF!`MaQzj;MLM2>GeXq>hKCDR2b^3%uw
zPlwy2LWK}~+k10$P8L1fie#kjB*R&4{UVXC!YDp5UI3{R5cyijet|$Tq%1ejjqMXf
zCsRebm7|F$W5#jLyod}E998oED`F_JN$8npzdSlq%)M47q7L?z<1a<aB#;Wh!tci}
zMRbD?u@&d5L#yQgCY&UNENH1o(4vH5gC=Xx5e-m2a`DHX7#ZX>rxz~ZqJo??Rm)v8
zC@>utrl4sni`WnQOgtD;MQ_|~Ziv)VpzjZ7#Y;~)RDXzpRB?iYc-1Z&51pZc@SJjo
z`vn5pREaRYvrI-we=qgDu-Amr|1R+N=Mxd9X#ML~K^lnUH>12v(}D*--<?$bCXYz8
z<L86CDJTdriXGag4K}UU!}fA0q8FKu-|??d(3`<4FH>*oz>9_}F3I{z=-c~%why6H
z)M<3gvTi~bUKzU{6g;?{$3-$vw3?{s6IJ-;S#NzPi|n+r4^u&LQjQaH%T)BUp7XlX
zUjtAHQhPjiQWYhBQ0L{Ir=pY9@<ZPfjbQCzLey>-HMFWd*U?l#MXMK&x#W^f;MZ~1
zl59Q_T4@cwWnf7~hRQ*@S<R-v6Hv~OkV!&V;{w<BI}~I+F6d}W0$^haI3Bw~LY}LC
zPDS}?Ac-q{g{;E>DNMg~<HX5mb1>H3$dHV3=Ix#k;%Q(R9u)4fMM9kO4U%Tnsz~!)
zQqMI$GblU#ENAWs2@zM`evM&JMgt$HlINn#;L-G0OA$W_9Zd1{u2)b%pM@%u-!_`T
z2@c^VIZHJZl@osa3PwOVEE!>67R;cH$F^qHQWce!mD=>S$)Ns(-t-oFb0|?c&gCho
zf}WT+K5O$AM{l3fDHG<*z$t;F{rx8;bnMc#X+nSyDrl<jxB9rvHE5cJ!%q?AWlx{i
z`^<|(o<1(#dDRSr-Ac<PrsUDGhhBm8I4e4u+|TM}YzDcZi|JuOL{#)2`<|;x^ysq8
zCjZR=8U)Dk54MiUp-GexIm5J!Q{V907Dm!QT=wICKZ9gZCguF&!vzz#9Gl+RZax}h
zGd7XJ7o-t;vbB;itrz#P-lJCb7$5`nU(BIMqBBq&wc7d|Kgm#j-C1k9{+?NW@}?L9
z^z~ZCw?<4ry!ClP0tTyV9N#B)h#-TSTV9m!J=o23KT)j66snw@bI$Z`>-37LECcB$
zwon}V&c53Od>XTk4A=1^u?%UextoL7`6Mf$Y$g-9n|3%ap@J6$XnnKfHU5PaCMMr+
z)HjBYf=S=~EV&Tvv1U(q-yrsT&*#wPP$M|;=&6B>8aq0wE$FmRHh?)s`~XluufIsq
zd1(j<>F;^n4zr+!68$*Ixqj?aY=N8qssS`jDT}d8GoqfPHu|F6Zy41<!sLLZ0eo7$
zGyLowJ@QicPba#y6LVt>KHh&@AKFje=)%hX;VL8nofO?R?442c-hwGT=+GyId;4tQ
z!ph>-eL?Rr@cGzq*+viE``;ivy|{{dU#uGt`df<KR+0(QFVKZi7aieXwq-o8b(c!z
zN<3~`TPSpeR~Jk)KgU;3F5srY4IeD4EAU&wO6FD(I`H)Nfw7$m^SG>XpGdt(18(=_
zlJd^q+OQdy?39#0i_>>S><sVtj8}HsA33nCYevq@1AQlE@GA*l<32HW<7|!vwE=Bf
zuxFb;9{l}_-wPj{?N<4YtH(&4v$D|w+R@aORR1Yl#r1bp0bu}V(g@b?`=AL8x{5Ya
z=99R~eB+^GCBN_}$!r%cYfU(@CXAmrJAqfqB}r?UkKmitS`GMiPGzZY+_7bxz>WEb
z)UOZx#-E4WZ60u@0<X-#{8Z04zBoYDPrN>k+emr8_ZXl+kDyW+`}{bbAd#$?;WUMx
z$Vrvi5xnh(LkV8N|4rb+cBwP=k~6r;iAsA(`tAO(E79~*6L`UqK)wB0vv}z)kDN;+
z4S1Ly`u6dMNxb=0@4E(rdAx<9feRf_hkG^~p-O#I__raijvId$@W)ac^c|^W_*nfP
z!G=7IKh!(*Z~pBPPBL1lF8NFXi+i?59S+RkEN*)~hg7WKrPp!@1%f0<qEjEKH=D)X
zF6-uZbg$uWiwkzt?pK2ti>#eW)^qso2X96V37dGEinjkkp(^|j0096043~E})qfPn
zQTE=Oi_5+4b-CBx-(#ivg(O882^FD;XxUN-sq9LFQZiDq>ieOhMWL*WD3P6=`Sb7j
z<2>hmp68s``+YX!w&#4nES}&h@Rypmflnp+)VeZL;4)SJo@CV=E~2nAX(yE#eG6KQ
z5p`9C#*tR7A@Tz57Bm?%mCu5tPtQEEz{$|a*ybo)w}^+ETWmXTu@#wSTFlCk$v}B>
z<KCy(fB1Vr=JGOjHZ&u&P&t)B0(+^eR*yqha7NSmzPtr?)att1T9}^%j@eRO_{}xk
z$ktM+ScD4+8Krb?Tv372@8f^cS2pmFBQMQzj_{y+jl0};h^oL$+5A5F|CmwbCC3YK
zfBBG{&xrAZd}T;e>f2jT#ey`))=+S-0Lsg^=UKs&f!x^S9=K~O;;584zuQX)MMrl$
zb{Zl=Q6ofjv9Y1b>>r{50wRbatNN5bg9!JY3>HL=v!mT7l@QmEDC)0MK2x!e2)uW?
z2X`}bq1s~wdf`Ljh{gWEpsorL;?A)Mo!P;Ih-$p46j3R(yNGqPhn)z;$)Thp@A;6(
z?LPrtp)x2v^DFbwbtRy?eER&oUI69VmblyV%cGJ16xPLgiSSoTwkF+72p#f*r#({y
zB$KTp{y~ojEN%v`w*3@F#2GdXuMkCae&s(wmKY*5D8mcWN217aCF6Oo1Q8uPu(8TC
zM}&(t@Ao{&6i3AarMyPn%IFH;4nk|HGOYK%96VSmiN2Ds+6$E=q-NHA%>IxH(AdZH
zYG<TTc(wbKXPGMc8enOu>`MaqT}x4chvX1J{_=6wIx4F1uNt{uK?aT7TJyB?1XN9V
zp>}wHhIYI;FMrpT0tM$X71DYYkp8&B%<NV=nyft2$!(+taUqS};r2>swbIG)yf_0D
z+q8GN#;U`Qr<ccLz7dg<`Gj&kK@%m^-}3sCNrzS@^_UQE6$CNDqDRHG&}HUWHdUe~
zAgkVA87m}o;z_2Z*|Zi4j5<wD{-p)iBKzK+N>xRAI)(aoZ)qb7(aQV8P92EMz4rdK
z6csJ|Rh^p@(LuI7Tz_u=(}Uv@zl$!Xs3B6>7nbW*I!JO?rcecD2!Hsnbmu`D3O$+V
z=SI{)_uc#!8gq@|x^(Tf->e#_tG--X;Gs4ee`>bQv0)0qg_o_rjB6mWl)ESACoMGQ
zv2y9*Ljd>3ACB#_q9ZAmDea=Gn&|fv|Mw2B%wXu*M8S1mI!bB3Un<YcK$AS>f;!L5
zAv9oudi5|Jg(fGa+U`+DMany#xW`z)`IZ$2oJvO+cl&I=5d{%jcNCpau!QBEqmlQn
zXdoGOWv9Or%4k`7f7^jXOK?AX^@)$aI{MOWcVsqG0p)(2sYA#T=9-KHuQAaOIC)a7
z+oaG$wb<?_Z!Cdq&ZO1rKt;jYAFaAMg;7A*Ly2FxmY_ILZ}Bxm6|t>-S9>qYf%dJQ
zQvJQ#67;uu9K9bxLNu|W7>SNWJexQ*FgjuZeh+q$*bXbBhh+*bz7-#ETM2`gD}EMG
zZ#iA)vt0=hv>iq6d>zGFqEDOK{W1sX>@O#Lv=z`VO)3B8(q(L4k#pSWUUT3Zy0Eg<
zT@ICOEZ*@t!2%9dLlcp&&EVQn!(X0gDO4|j?b)fx27}U<o1(PLV5#g!^vNDE<g(?6
zczibpNO;dYH+ukZU-zFVdx$WynqJrWc8d#czC1>z6975`4xEj(6F?H8KSI8jazo+y
zAgZh>20yG<^TfKjP#SmoBTi!;P?dcrYPsDM@~hN*Pi3*977xtH-kS%m7PGfkx|zUf
z(<8~dJDHGe%8REy|M7tRLgn&Oq%pX>W9E04|A!xqE-Uk3=Yd21qsu#sjbL=XY6~Oa
zFP<9hli~P;8@66c<mewVgiqA)m<o|0{6x-<i)uF9pg#Qa_AeDf_@T_sJ{Q@7AK&?w
z!*-SnIPx!+W}GyDBohPof7nyZ&BljhUC0GanM<wK_4?2@eQzvze<#MCw2*o5G#4c8
z-+ua_v_9zHce;`%Foex;{dbw=5Eo4RV~XB=P7g+7cax)}Ca|8t4}80Qxgb(|G^}Po
z7wkql;`4Q8Ft$u9RhvvMP>w&?ZDp$qq9K<19j?w}O<dl`V4MrQNUyLWqyuij?I~-;
zOBkoNyThNO-0-?f=whwD4%}_<e`1omg4JC57G2821IedlwDwkLgHEuv<sI*JEc19h
zvH3d>Oq3|n-3_$iT|(1iw?rnmY|P?yteqFiZ#e&MuhRmZ{C#H?dzoS9lZMGhYkV+z
zG8fg^X@T!c=eGj1EkJh4v++|Efb*0LL9L&f@atOg@3#?KA==kq>G7BVEZ%ZG_}_U=
zXcR3MPU~U?F!-11+8_uY`<v(Vr8Pk=ENwN`lpO?zUyXTG3qh{FDW?Hq!1mpxp<z!s
zz<K0bVA(ri*j24Gm3f>2HWpj|N*ZuMYp&&(^Na|nW?gH2A<F>f>G|C=-?(8*jhDb#
zeKDxyjxFKnphJv&8=qeiFUW5HoM)IT4o&_7=^~r|?P6P&WQRLH9LpBH^+rw-!XJfb
zT=1X+ouM!Fyifo}v@uofIw=U(`V+jNMF;-6`G<t(g7CIC`EY!!4Dk1_N1hg-!^-JU
zMp2s(oCq(ta>+*ylDn>#)=p^vIm2!lv5CMgPMJN<`UH5r<>P2ky9Nk`Q%@Axi9)6N
z&T4iW1xVu5ylLI30qhUPh0{yKKxk$`FFr^S)<0zQc`j-|l53k>5J>{Ck@ZT|hf2^J
zkdvDxO@|6YW%KD5lJMFoA@$Wb5oWj|9M0L$;py!n-6I~-uwU>_N}#C<Xu7%8Vb|zz
z=i7<$=Ss3*uRCzFAe#i?22{$sNjePZ20o*$%YmlWLqgjc8R{p3FR>hEK!-A4L3t<v
zW)5nd-|tBQWB(RH(<B2TBl|p3&MH7-pq9DITPg^C^4r^$t_g;o+}l|%D#E2dTPT$>
zG#DIAZH_yr1w$q5wp|%Y@MER*#?T>k_#)oYT4JIN8VuFX%1?+OeC_Bk|0NB0X*imC
z-b4r38r_ghy)xWU?H$Uqpo4)!7pLq2UFfe^PhDtLfr~I(;8sY7#Hz=7SFh@U$&np)
zyxk;dd}bkKKDAkA9?A*)p%2t-^B3JMWSH{cBV6WZK%=YpgLh_zP;yYrO7)p4SQlQ8
zS72p8yxGMewh|-wg>A4#oTUKct4+4*CpzRm+j>WaU;<MgeQx>6QK4SdFZSeNI=nG1
z`-KusffVUG*PlfNre%SWcPSd6nO7_|GK_)ofyLyT!&LZ{_DimOjRr3p-^pv<0Lbg5
zRi<uHgS)HS-)c*!!TyDd#h;00P$3?1Pi>3}T|B|XM<!I^!Lw~~MYqhr<7?vT!<$qn
zecWNUl1ze@{crp7H_X8IW@WLQ3>Apq4y=p_D8m?S$nJ}kIh=J8Qw;an^pEQ^%boFx
zFj#)qHua=A{JpDE;hvxhazg#&8|(zgiMDD;jx>iZ$Drb8v1IskZIxxeg*2o{b(dcW
zHHS-u>z#+)Nf4B{t##m?7~Fj~zpU(J4hc2+<PHTDkkV=(PCgR?J@<_rXO+!?+iy%M
zr;P{)_Z|G!q{;^rNyqZhK{Gh}DYSLroDzh9D^;M69TL2*Qd_T?L3Q=zgnR`>$l}qx
z(RPsqB5kbBIT)Eit2}!|-Uk8<nmemtI;+^fjhQID9)Mk@OATv_a?m${FUktdV|S>G
zitk|nqb-6dt*2z5=g$NB@%c$C;_K-}nlM1~<Rd-<ektG(d$=YL{TnNoYiIRx#-Q6b
z``mQ1I4HRovy=UPU`%X}x+Jfdf|K*H+o~0!kmf#w%*#5l`sx@0>9q-%4qLd@Gzdd(
zai?<ZP#cEd@ZVp)Y7GB2-tRfUEChRJ`g3f0TCn(BPTNRBV`w|*lls|P0H#%~mcsa3
zv2;VTU0W^~f$`DX&HI1z!ks7kMkctwVp;p&h@E|72;G#kq;WfLU^`KFn?0}t+kd;P
zenr3#9y6MW1zS0RQ%%;`aq2tf$x~Ajch~^zECgG3GqJ<Te!F84_kLh+{cdQnR_OzD
z1=0ddS>c*S3meP5pO~f8;8iyfeb}CrWfWY!1wu`9?2Ui^#$+zUwFd_4fp2<hNZTgY
zUEV)w@!dCyZ5YOj%XR5Ou)jka{QxucaKugM&Q4%`v8z`s%yr?1eL%(W5GIJC-4oi<
zJ&iTWxb(j%(Si3%`Jdg-ZD2VGp+g!UXE3uGr=EBP9jME=61(BHjzy2e#A`RrZ8|!!
zKOq^~&|HOagruxtexH6*j0P64<@>4H=LNMPS*F?wV_(DSq`hUFIR9Y=o?6|BDOw;j
zAoJpO-70n_e~{$8eFe*ToWztZs0E95afVsdtJwAY)BV5htYLbI7A$!gnxHk@b8CEZ
z6&q<n9t%875R!Z4QI3KpjCN$!2)nFd{Q2z<6E^jkhW$=VDPe#|0Z)w)(>f;UxE`lh
z%L4i6=;;_U2DBHpOJLpWn0cz_hnL!0;ZtamP~0X*N=wc>yZvVai<RWrBHG9bl2ls$
z!$3M*CGEQj8BEZ?rqbzqnjO@>Pcw6Ea-pf{DO>AaX28Nibd<Jnf_~#JuN-d;pbN{n
z($!huCHv5)P6KWbSAO-x@|ilkf04IhPuv2l68UFc9eE+NO*=Q1M;(3-`No9kZv~SN
zK`hm|{9u+9Zao%216SX9BEgRpL<ve3VqAhSe6XT~+@l7WKl$3F>)7DJ66KuGAtA8R
zm}M7oRD(|{yA4AOIKc3At@Z6zVbBaxYkkm71)nzY>97t?Sk{=lE9E5$5BM{CWCEx#
zcl}LI$xUwf#hKJSDkcu!v_Db$1gPM!D|n$RnHQ=_852Ph5)d$>`XT2H1$>!^!@r;K
zgL7mRu#8H<`g~x-o<s^%YtQ!1uM5DkMWN>_K3SNYmLlvsN`aW6efC^tLXZ$>awN`G
z9xl7bo4FjMfTl0G?%ge6@a=Gp`Z-2`{@1$27kw$9`{%^^OG!}}{FQk?6;lMEoH*o{
zNda<@ROW$lF)$${dM0i1G2yJuKE*#2c&Yieu*XjVxa$Rt14zp7oyj@Y(1QvItgkb)
ztfk<HywZYiwF;OJ1EXKFszKv^`RX2X8JL^WXi#t`!@T#%dHv0O5{5%$E8XSbKRSiB
zAV>i>=BKjWqcr%H9Ov(AOMty0q0JwgsIbe{?wgLT2FzOXWl5b^fHw(!W_5`)_!($Z
z@nVx3{sY>dtzIYsw@WbJUvmvOZAZ7hZ_5C`)bo93)|B8wrS@xuU^>_<OW&D3qzU3x
z!^@8UDMPgegP*R)03Y(3;*Z%{5Pg>U?eSa{P+Yo885v}Nrtl0^ZdDsjEET+09V3Bw
zY}3|f0h*B8$+#pFvw6R+2PE3*s=$);swBEa6QVPQ?Y~p?A?HqnbDlQ^B1Ob5IkRYi
zZb8t+#VG@LfzMoMjikbPk0)<M{%L~jF8%dm4My;Rt|zB_Mh*CcL;H4?XoBx!)*tEj
zOhAyyK1$z;2A->;1_qn=w(=!jw*CwT3Zo5jv>qCG1-<)zeN*RHIp2ZdTmZS6N+~;C
zb=W#PS|n^lhwFD`_!+)tAn(}kR%fFQx!cS)czbD3^rrGvj;uK-I%ic0$g9I}L7mmW
z2nD)#xtud9Glz4ZvKliAX;5frYo=B~0`hvs=~03OL<rhx-<?teWufsSN4$uzTs23%
z>uUkK?kv%^FHnKSPsp52SOG#^22zrfE#QLX4HNda6etSJUW<My4YQ+HR=YRreQMm*
zWN%eyja~fm`IRVmh+f%keZm5w_8Khk43J=SNn)$6jR3swop8LVZ2{bmWYH-L6^J<e
z>2lQ?8?b74b`Ummmh(`%MMpXjip7o#pE<pTWy-7s2*j8JBR0Bh_?IF$=iC2vu%5z#
zTG?AH#ms^0A?={Lt^!D0Y^NWJX~AU6-nq=)F$1|dgR`Yd@=&{$;>1U8#Xn2>#$Q!6
zgL6y=G`6is!%2^8FKl1`#zTuf9%?NC_!4l+?c<6BFzvkBC2(>Y_g7#3{ahCy*rScH
zk17U~p`8BV^;!J-#>r=v5g6<v7weZ_5r&h$6dIp8Ea2%+^2=E=Od)4zhVK<|)Ay=i
zd`V9h@pzX*|0<uGK+nnXxX=M!s8!JOXSQ6zspZwrCcYbk*XP_sj{#1ozrW{Z<F+MS
z%crK~4W}^>Zbj^MwPJ(05%0$3-bFkyo_~>m8Ns6L<P!~!Es!@J7FAAJ#6ADs*Lii$
z5Hv%dZYxt_0)q1A^hWCi{I00Xk~wYw+=a*9IVrASmErYx_Re`cJ$6pthSLBBKO70O
zyS9Lpe>>+tVKIlBnOI*w>#PrzZ)}asl4h_7(`^E`VHVG5HQw+m(Sz)~XUpB|6WFta
zR&d)ngD?Ah?rq}IgT5@`F%5heyWpuEVR`H?-u$7Z-1fLGaEY-c9fLuP)#&UF*W1(h
zwP2^n!Y?|o_whGNw)Sr9r||Grt>07l^WG-&JVPBYZDMut-qVT&lG)QdK2G8efe|LF
z54GXObaT|boVOT*%6njFdIB%iPm{bNtqn6>W*L`~OEDk5(u=}Q6ZnJRK2CC)7U<tf
z5?blV#S>#1q`jFZaIw38)(UvEAn?qichV`f_zl-tsW0Q>_}$|}6T=Cb(BMSuUY%>i
zuNde%@=HzNnfitnpLjH(Oe%PEhwm5M;JW7c_e&GFi|T-@ei{SBRyzfcU;c{wd&g3x
z4JPr`t86;L(hS%(7nsQI*NG1Wu<&l7PT>l3w*|I6paV4~>Tv+E2j{)V{5(fv8Xx@>
z;#{jshvcThGp?`u@&4e$?@x|R<6$3PEH|WS0P7_~GNEVykMTY_F!25_exxV$qvI=e
zI4IK8S{e2e|2AgQLHsm>=X4M@*r#c5v-ZYsL)#&I(TgwZ<LoSMIu=myhD3vupPYS?
zTEn>H-0=Db^Lcz>eDGkXw;EIzd^vN2_6OHdsR@g!S-@X3I#&u5QbAMuKmRt1F?=E^
zwddubB|P6hbn@a11!&Wp6N~32@EcBER~mGd@jkcZ)OIrpBr7M{ne<HI360)F57Sj#
zt|U2OONJ^;r|mowr}GytZ`xAX9lnk;;^Xb4X2{@Tgnf+5n8Cy6?jGR?XF{x*JbM`q
zn|VXRxA>0u94_SdIP_&NGm1^AY4fcnL0D?QyR@o#JUhJJH``+ivUrxTyg(ws`T`5p
zF=`Qy^lmw|m6sJ={yPyRw)x*jVjGB>r~ct*#OjW{{K<x7LVkA2imL$C(t+dSwH5qe
z;JfybKOD&L%bmYrS<2uxbE8vfWDPg=J)a~%<VLxD(qBuIl)-D}-uHGxCKMFpDM!xW
zMUE6(NxuprsK<)<lkYGinnIkLHBkVS#q)$k>><J=Q~5VT$`&*!Dr&@jTM&Ia;FLPH
zqy%SKVyrKAZAB`|D&NLTg^@1D5#_N*N>H7Cukrm;HstlzHOYuw6uHFG7FT_g;PuVJ
z!93L*h-1$kjl(NqNVKEv*tDJ!Fx7cp%AMsxaY2WKe#%KAa?U-mIWZ*|w8^G&d-0<F
zVpBEC5NUKc;nuMNP9@+UcNi1o5J0@C(rZ)9a>&(8mxC;<1g(Y<9RcBj=w`xjDXSL&
z32(dnLu0c)bIR^xcg2O##4Ys&*&zi)n~|H8KdS_@QF`ap+C`9MrIi~kP6_47Y)h3K
zP=a{oJ@gZ`V#xMVb7{P#GTO7<-iSYl2rbV~-An!?fd)$-i$72#Ay3-^>n~c$(D?Fu
zn-zyNs(GWZ)-9`wfP+brOI-yHKQE6fJ}HYTOUeU=G^r>>A@ZM|4+&yf3t87#2#B4~
zaXsFJhW6U?^n^{4;c&%hO_HYq(g?gTz;sOm-7h2YLL&uI8FP`3Iu+54ke-S+Lv&>R
zY+3i~sv3;!!R$xfiKt9b^7PmW10}w`u#%FY0WAw+jVbe+b9<e#7-Z2x!?U%r6PvtE
zWtimJUMC^3zOgNNQ(7qXSI&?Rrxpm8G>41msG=Yv58UCoHZoN??C!a&4QdygZAY3Z
z$WK3j^{15%3MhKoS}UsuQC+=1CibbJlH<aAKBnoQFpkGfdyX4`(J#vNTZo1(#qQGe
zPu4+2&fA`cv>Sn-lY5!vx;nZZbgI3Srh}|zG-AKom;#$j8ut$-Ix04fk7@JKMz`CS
z^W@wB?CvGCH@MMJ(CC?PUUMyUov@v^Kh_MkpY~>1OQWO3pD*q|s%0RX@lG;(ia7+0
zitVFj(NXlNTihp_HPBkU>_$|e1*mW1zPu4YM-Dm88ZwWmh%k@pGnFjiouPi(1ra(r
zzE4-a03)F*9+wLjZd-yjcfF3Rga%@|sn{BUE27Vyoh0gzCDh9kR??o)kVE)hF2V~L
zWMO#WX6n2p>`B~6UFT9mwsVK>m7Enp)2$7T1?`q_f09+mf<i%T5lnB1{9Guu_CGzo
zR7<$cx_!<-k&L{tl7B4%%Q#J7NyVRH33WbS1)^D0&~(CV?;!UVeDRtQ=h0#dAXZ8I
zNa#{Ra_fpjHp)15H=t1eyOIT5k$&koUao*LKc!B530=hwZ9f$jaMc_ZnuFKH^yQKM
zXUB=$H(TJ$@+8@1)eIiwCl)hnOCz_V*9gA-?7;u0_WFfmW)N1Qci;V}II^(+IJoCM
z7qBnbQ%-em=H)v5_SG(7B$HDUHCM|6Tt9!j>$L%R)>LxTC{+MOor{sJnc{_*j3GhY
zYZ#pTe&dn5I5*n+vHx8}Djx_hwDc}*`h<68Gcti0tO&QhvPf*?gQJB-YGZ{az&4s-
z#-GcCF1ZJP{`!m$n)@W<BHtN<OMr09QR5|C#LxOgb}%0p(H;&@%oqX9nu*PaGL4gd
z8Mdm(@Bvf0#gHx82#DNPX{o&f`09#SWlk+G6x<}RygF(K2iQ7m*B`#d3q^IC9XxqK
z|MjU{&r$=ZOfKl#QvCswAODbjU5Xca9?gn{GaG<cY<zp7=m2ILG(=Dv<$;8BtuXHc
z`j8h_ljj#Sid6^(K3nYIf!7tRq@-#+xLn@S=@;@B^L!z6$#H}Swmhs`xS*g1dibYq
zy8S#hJl4S<BgYHLb?2P=l6Ap2F@J#2yM&!Nk()Joo)?O0CryvA=)xC`^L$Ups~Al0
z2t3Tn2O&d0`3BGFKoyfnlZ^QWCgd;k%)N>a%=1E9G*+~McY?IrR+<^?xaFV9W%I*_
zW$w2ok=kHCf4G8tnFYdFO$<Hu3c#Z2gfl0%HVl7kP1l>=0(Z9kI;cA<0Df}<w{GQV
z!NI!4=MNoOA(FZGDd~|QoD!N5mC)3JT|#GscD`bRShiTTo-;ylTJHPWt!7P#@K|C?
zSLXovOD(J1p2EP>-#l?VP!s+emn?ksh!bAP&qhTZ5dqPE9bJu5ny}t&ytPu78<xVG
z-;2kI!e4pyW4s?3kbXqB1KN3@Z*uTq1uh1Wl=n9tMKj>S^PccONqit~_d|P^xCA&n
zQO#2{XMpL%gfowZz-Ir|{jZZG;qtk5k^mP2!b|&lE~*H^44p}Iksu9Gy^Uu`-|5ht
zIoWtZT?ov0oR;o<l>z$_+28sVbQsa%+he?4820?+klOK34z4qMZ)oPyA@k2q1M3hG
zkcvCWEV!B5u7?*U6O-w%*zwrlLxm{FoUc9fZ@&WYnT*YuT%p6xdhPnJyy8$_T=6C(
zP!SgVTC-ZR>9CvcVh(mr0>*#Gm(^w|fl5sLpFNdySbB(Y-`tP{`GmK>E`26K)(pYS
zVVDj&@-{T(9BB|<B7a*EP=Qt!;@0!33@~VWv;CHhEEvC&NV#y31S&7}XJR865S`N`
zZzd)Wi&`tDIgiP()yTg}d6EJ9b;KJ#ogsjIlU3&LRaN*fFH+4MtO>vGdMiB*RDdHE
zzudcaP+<@G4bK%}EigM5dqZb)Zu+6P{JKOnh~HbLHrk{GynGL~GfpeP@0WR(YO85r
zK=`{2-P49IOaG1yT_D1NI}hU;n$$sqKbOXRLkIeQFPKlnD#I>q$8RIm8gQ6Xa{q9i
zE@-wpo-m46fdwf>;M>g{_orh;((SDt?E9Q0NQfi>UX$r``aB(+vLtNvH}v5$?JCv9
zmkgg+?;Z8t+@pGNs8#<CLkO?A7HJ8p&?R0tE_8J>4^A@4I^H${nG?_L=T}r=5tn_;
z?@EVgW(J4Nk}>49y>Lj+pg?w+PVd(x4PdeD?eN)U3VepQ@W;GVIAyJJOuA1U4)2uv
z?|vEvd#cKA2RKuKSu|+=pFa%<CpWl84*~2CKEOo`r9wx;XhcIP6{;r2t~?k4m`pz$
z<KsnzTheJYZBJF<sp!V)TNg7pUU{+Ek3fa3x6{%}Vo1Psa9@{GwHY|YCU~$HQNStj
zxjmbXGW`Af{Y}J%8I(O;BUN!y;OcZvzFn6hU{CACBB<s-{l32;+C&xp2LJ&7{|uLR
zIMr_y!0kP*z4yM>y<B^I&qYd<9Z~VC%m^hKGBUEV6%C0*ib@&^-#42UC5i|oB73j=
z{Cl4FdERrL_dTD_IWmma#L!F9@O8iU@mHp1aLVXC(_I^780J5CUOPq{;=R4nvJK7P
zeYJj}rHK-x8D5Y$V<rso^THN7GG@^H*3nN&P!U`VKXB<B=7)rLZGjF;R1nti=OYZt
zL-?EdSc4w~IR4mE^H&WOk|skox^Bn;ZU2PE<J;^onADds9YO^>v5@bvvn=3|)%DT;
zF@e4ihmgHA6=Dv^Fgx<dz&*_&Z?S*0u&8|IT1hK_;hO_wD3yYG`sujVu1)NmqX~n$
zKY+gHYOn)U0^+<5?Q)b^!4`uqklI)QB1%v4x~z!8G>5jKW#c?X(z||m!4?BmAIbvx
zgD}*O(mYlWpTT4=d`Rt2F$G0S5oO1AL5S#GNVa}5fl)p+6tK6O!0$|f^^pmFcvLKn
zsH<bxcCcbqJBtapIx<?!YxBWyY|-PH`@b=j->F8c*2XYB(RTE~T^@MzIF?uZ@^37$
z-TJXwwh`RDeuFv2m;g7QEhPPM9m9?WvM@Fd8p84KF~_SGIU#c^BJJ($IChP?_xY5D
zA<%z!tMRU3hs%QER2k(-?0WZ|h=y1L*wWznlhw!yPn!-k<o}q$awJ^YEC%%9Vx)_W
z3pWdRQk?Wnqh_)6LTzh5BYoI3mW-*)V*)*uTfZ0d=do(AD3&eIgJ>UBi!66WsP22y
z$11ppDO=7K9%j^oY=!+^!cGhz|E=!QN1kQOuG9E3bBHbo81ep1jHHLN932nCR93OG
zd%x3j59`2<BFl>>d+Fdm!LN7Ty02qPqgjq#&N^@+ESjdsoeuUq8R=Xu+r)+)yjiy2
zQ(*QxU7!OC9oYHX_3Y-|#_}En<aO_*0FT(!WY&IKn4b$PV|Y&k1EJepBX6~#d0fS%
zvWpfD+<od%DMJUi{E5A)_S!&96fBLOpamUIfj3-9^l;|)wVvueEl_jX6+xD#gRf0J
zOkRwP;Fk&_slHmEIx>3p(M38~Jv^vvkk179<@K6P>trZ6`n2}IG96UDJ+11zn+2wl
zrsBdg$#9vT*Z0d6dYBrx%Zzy0Ao}-6XPX)s+~-Nt>J|*JrtDi*^N$@&G-zyoy(7V~
zxaj@WB8>2or!V*g7Z>CfEQ-;dBEj*-Did~YCfGc9!i^+H07JDX+GFA*7*opEl~G`Z
zS#yeMvl9;#^|al1nWqVR?ML0z53>Mm)zLq~1-u~K`*B|(gC>OP2ChGN$qK7ZT|)-6
z{BZkBtEvA*4d_@u80Tid4ql;}s}L;!nIGrvNemkBSLAED)-VSYte<nXk`RJp!w(R4
zT^$aYzsNXN#Rck?CMUf5gh9J$(^HzN4z@G}E+sAmI3sb2C8I_Zk{Xj@Z?3Ds;)x?1
zlt3Qn8vPTRS1S&Rt;L4zZEEmwL^neD1}{ti$(LnR67pAXz2d4=gPE9jX&*-TK<&vx
zD(!V?II42UiBzEmS@{w<KDz`!ImvLE{fi9b@QGSGwyQzMKCUIvCPBzei^xfmlY@zR
z`&0Bx>M;DKxN*co7;eu=OMQ=%2S$8Ofa0SL{BcP>r$t0zEAhnT*DDHOP>`%{G^Y+T
z4kP6fb7D|w_lt-1yb|>5ZCW;!X@FX3!j<yh5^&PMYx^dP3Iw(Wt-r|91ULGEbkdp>
zoYh;1A>1Z{*LyBuHa8Lo@WwiY@X3HxDe=H%JvF#J`!(+?3mL{;*46@aWnuoJcUWYH
zIwbe8^{n)gVJ-WK)X8IVkehLSv~>T@JHb6q#da-db^BA6c}*TJxV9+;9U=kVa;`pb
zKpT87c3KI1Q~=GZ1^tr$NbspF#pg4>4y+DFM(ko#0x?0g0lj!KFwQat(Vf%<W-yNo
zrzk^3AWxL|1R0h~dS;eJ^&sv?^$-37D&Vb{>7=Zn1+{MK!H>fYK>QYyNc~YF=uMkf
zf~FR9UrXU2h#NtR4aGIlK^4k<4?AC?(}H4twA|Tl4BU1^f~$lYm_!A!Z(b*Zc;+<Q
zhcl)ya@4HU`L!Bol@~`HS|Ne8&H<aI9j=zy_63D1r~}{mfLoy=JMo-PUh5qI=`n9V
z|8rIcjrhvBK@JUg?WquFe3lByk%HBNR_Y)!ZWZQuMHRjsB#&;hn?Z3x_)noNHMkkB
z-n6Sj8I-HpXxC!QAmsiWyg#J|ZZ~h;(HKww8ycpu@Ln^}P$%dFRj5MO@4e0)L$bgk
zOfQqeZVsJ5p7gIGLQ9TL`rQF3psrbo%SxF;`<49A^+Xk*>jw>5V^KgXpJl`O&0)Cz
z;P6cYWf1wQZfs5~02>BjtZXx8urBFSAN^ht&K|HAE8D%pX&3Df`ln{Ffve2T?^A#e
z-(LH_H(>#dMmu8XaWkM^JLNdkC<iZN54mWH(n5vo22B%-8Juw6QaG(A3wJ->y}yUL
z!_SBu#xF%wn0EU&{_&ACbUfai8DjW@)mdun4bi1Sqhp)Eu$LqxdeF3YN_@sN<9448
zXaTSkoD0!T5ra^22m4H36~4@SXmHyJAb$4=*7hD@c+w$Us%6lFziHL3sBFc+>Bz2#
zhx-KKdP`3q>z-jeDdv8j)wn4Tqh|VP7x-XRiCJF7Y7}=Md~pfnG=-K;+iKf39;p3%
zt72c$7=GHXCPPf$1ZXbGrDxsXhL(M_s~KM7_*Z3N&JkZ@xVSzTPh{kPb52FGCK}_o
z=oOoujoU_WLcWGsyn_WcJzQHQl*Vv!BRo1WU<hmFTHh8%8R1n*o~do(C~mor`v5`4
zaL2zv*<p_KU>xql=pXeH59RuB^r^oAP@)b_&2Z4dZjByt18Ep<x68x%Ug<-OY25Kq
z;eXhfG<UnhAp`jD-z`u6a_IxnLy1!`ZykFWvlSA3@GEXJO|)P4)q`QurOft}6|Ata
zUb)`jGcLavtgzXt3!3GpYd?-JVxdtnvWoWa@Kw9F7oMx?!mN|JW!~L+?8vM%TZdl*
zE~}yZYd%{CW`6z?-1lr2+m~EjN?-5<Pp!*Uil)(lM<<1jG|Ek5L!5c1{kj4%2lL!H
zatH;4%4vy|<C9qOySYH0t|~0Mzua+XR2!sc+KUAx{$PPpB{gr^8nC@;wZ=Y2v_Xr3
z^MD3*47>lB@;b?<1EXP{TPWG_m-!pbt+u97tbk+LMc%Rt<NG>$JJL-H4z-lGmEZb>
z)htzapSJjdrAN09ei<Ocx8sZpD-A!f$jkwYEWK~o(yfW0tm9;mtUf3%q5c!I&%8Xy
zqcVU+r%un@oF>67PM_!(Uq-OXyenRpGl#HcXV#J*7f3)WU-kXsixDiayt0-pZv=b1
zR^VpIL4vYZHpRpbBiQWx$ZT@OFRW#RIX42+1TN8~KR$v#vH3@@>mT?2#$H-lC<Fv(
zz>Q%1zq%_s@v7tO2gUzj4(y5nMz__0&S>>=wAL@|o${mg8!?j@`w?4*_q}Qm>?)+z
zN<WIR6%>i}a!zBE+gY8=f@<(r(cI+_?Qbkh#X@Z0*erJHwhE>DpehtAZ(n_(I)+vD
zNo%S0&tV(G3Kyh`iJ*~aS+X2EjvZGwxppmh0V_H;@wRVH1?;~*I`)ly0uw`t&5FuP
z*s0VK_RU=?a5Ohd95qj3+u9ech)gTkvrmlqk++qBf3|1iLG=_S;M6m1&Ao<kr}UAJ
z|5Jiw!N|wd?=#rOh2H1+dp58ylgsSSk1B!P;0rz<={an#AR#sD#TJ$~SEQQoP7$7>
zgwlJb=do_7PhBEp8dyE2!Z2r~2;V(CeQPEbFn8@^2C=2Iz~);YBK1T8qB9;i^(8K0
z@@#~}Yi9JIa9mKzN=*UmRGZNQ`xR^@`{;irOpNeexjf)Sg*^P#7T<4bwT3N*9woh4
zW&-+?9Sdzb@(}-hBTYDT11rsHU%M~N3foeiO-oI3@UZinD%QJ&X`O(Rav|(6>E;{L
z?Jfs8GM4uwjcH)dW0fZbj9ehB)f_LqAqy8(IK!`2(!%>aLP_)|3E=uV1>O|Pf+yPV
z>|sd{4>P-a-M4rk%JSdlrvtLEJK}=8G&3Wt-m9=Ns^)`A-PwIl1Y|+{mt1b=A`=YU
zm~N$96@a^=f1Kz?WZ+<>%Yzy|R%m2<JwsC}1j1Kd3U}1Wz^l&|^{0K=;pjDC=93d5
zpjBPP6Y@X?{{AcbJhZ|IGAf<vyN`>*?#}niLlrU*qu(==af|@0iXn{J!cy>I{QSL~
zHW^Uh6N+h=;sN2Fo2od240KqKUp(5Dft%7?M4elFAf&X;a`KienB)f{0asc0IyoVc
z7AgQICGs!^7kSvDMSK?BD+}Wrv~R7$gy09ue`fc|ijaLq`%ZS89EgW^KfHZc1omFN
z6(6If3|wWO9*ug-1OGn#KqFdluzmJ(kL@lZWZf`J*iKM@<ZOd3t}But18kAo;c8&I
zhrP;dS`i-BJQrRsmIkf_bA9=G4Ulh~aeaJG87hM^*%gFkK_DkufP9$*6wTb9F|UZQ
z;eSNk<c=Ir;d$zG1sQ6yeLLf{)uCAOrhtL50?;HaZS;3&fyRxjRsl{D6x8oaO8TV;
z`@|Ra9RI8hPjZU*6kd_xib+Q8muzKNWRev5@`?gKZXOCiceG(PSs<!~x-$<gQ`(=L
z(g8<Ww}@wNbfDzM$C#O)s_>+$Ov8Ut2S(hzUybnT!`g-0Z^r}GVV>!}{AB@McvW$=
zG~|jQ$k=}gDeuw%hN~<@>z_LCH#mLtl%xqT=RE2aqalGY(|}#c-W{IW*$GNiVPH}x
z8oTcd35we%W7Kz3fOqAX?VJ!5dY`B^WxgRnBjJi1-me8r4?0NCclOriTXj($KS*%W
zIl;-8j|@|{2dhiK97cnAzDm3$!Hx8YT2mSg=n^^ibCuTu6wB#|H)2U}o%^%G<ufX<
z^j=p-wbBBH!f$#~*+^hwa$?H1P97jFqNkf{7c7oDEiN}}z)1K;>KQI+@Si^VqhDti
zc(<P}zoVoMkWZH!qAdgqT|X*Um39H==05kFJ*x1}rieLEfD3plO<JD+wScyJ{GsO!
zRCfA-i|(AuHa7Zz^iTJS1$=*ahR=Xq3FMoj{@P6RVeQZNkk)td9O^K^o8QYr*jI}4
zJHtu*$nB34;|b<Kqj}VSf4VG`tT+!$jBeq6Pj3o5nKc9Hh}gB4?$R)O!LDH(7?Eo@
zzsR`*W<W_ipE7b*9FB~UUU@IGqKbiIsJE61G@j`J<H5r4@fzE+6lYE}YV;IeQ=~#{
zBJn?#`}`2*%l+_g0XM1~ty>tp3b2RJ+4x712P(H`O|}vU=u_R1O9h+&;p{72G=1!#
z^ZQ_K#v}o$1;?}R7sB9pU!=1CG9#o=pV(*d@u1!BuE2zhDcoCbxkYoE28IQNC?z~R
z=)WU>l`a~Z0GVMvy*YmcYl^{KHWvw~)B0Piyr(gArIu@Ne4oN1D!4LR+6icTqupR2
z(+CoF^}Mq#{EnF%@q2P7pMVNu>;4sfFa*z~xk{t7L`>$NO&@Cj0qxgF&pj((2=8~d
za|w~Z;-;rZJL@e8=%Vz?v3M^77&I-FPPZPz_h#I~#We`%x<}A;mU?{%YrdEf@pu-m
z@F&ywDiF{WSxYGoNqxwBaq~tJEa3zL$9o)_1oX2gwTdx84-7fXix+&?aP|;8w$C;M
z^iluKo}5KpFeCFHjyKxEOV6IFVT&dpDYB7Zt)DI^N^|fYJ5Gak6Pt(?J9P;>J0r1c
zR0npMNjLxFrb86BhR}0F9;DesW#I790lUiH)!U`?sG(9skgb>p?H9IlpqZh7%Ou}z
zL}o+{1zXQYwRzFTkfO5OMG7dow-z~9Ga<dr*SAszc+ozwf{+9r3MlXO;qIrfpeSK=
zzlcIUlsQO~Ve?QM!X!PsJzugStDDy&v5WlZ&8%c-**<O1^`XS)n6snjE|y_lp#q2_
zE>m)FNehAwD(83haiDvBj!!Np2%@NN%?suwT446^O{L5wF7yQ$6n0e$p}{krDbzz+
z@Th9WuuPJGGApXAjQ<HEDVn8DXE7}}eb4p80y7U<P5r%1>m`cT4{eX}{Uk$BqR6@Y
ze>|ulyFyOjj~JS;V>eK$CIg+Yex@7)ANneBKIlWT1Uk>(TjG?y)A!0nW*Z{>=mDRI
zsm)#~#1ej)CE^SjeEFi=yr}}HE?Mr|!)$5f^x>~<z7H81b3gILUJyh_{sj4yWym19
zJ)ZMT-elmSqgWfY3!x<QN0}FH$Rg{w8F%eaGIZ;ToHbDuL0y8B)5NE8NOs-+msTbj
z5Y<Qe?;TO}rr5^ayhk2!cb3*G;bgd&e)5)$x;TnF_Sd_aP7$#el^MowlOZNmP;UO6
z1X2XE5=LDm#77>?Yjo6t!|pYOqft^wV60FzCqNmcg*lhm*J(k4nEi!aMbfB~-Nitz
zNCg!gHx7(3(S}f3lCD{*40@Sn9C*5mhzzbK7zBOM20iPEg}o87$fEW&gVmxcN|(!6
z8;PgDslTT=b_L6!`?ZWrLG<dVL8XXO%~l80nTM^@yyVf#EziOC%jziRo!*~Sk}mW}
z)gD=PRX|E}C;4wQYam0}hka^9J?OmT@TuNX5%C9K|8mb;6D^*-i@(s<2M6{brn^KX
zbhjpQtG!bbF=jRNgdQ}2@e&8CxostslcpPSdP5VDHs3J|B^rX{H;dLgZ<JBMvrBdR
ze`uoAe~Y0ixDmL1d-*%fUj<!af9SIuris#AWiAj`jbVSFs_=s)74(U}FtrfZK!NYs
z1e#S%K{5TfhUF0=658Y2^RPx8S#lP(C_7+4<YTisP)I~#cE6-Iebtbzhih&f8KCXh
zwW9i$M8xY+(XiP~ME7&pPpUlxU`l>nlv+YW$=yf$JXloF5uVNjRRJoPw}f@dc@vRN
zOReZRf)X;EcS$kyr$X!TXKx)gRFFfw7}vo~dE_`XVesNU75?}%tL*ntL2tq=dF%US
z(Wl%g`MFP2sMP*-GP6P%IdI>U-L8{H9Y0NU6@OEK|NDnm_dhA2|AsHSDjt<U{BrwR
z{C-hEp3TU2wqFs&wG6Bk#)zOtwS)E-K2ky8=P7rSj|ym^;IiHLUjcNHzqBcP=iZ?`
zHA8t-@~HUv_r&qXyy)F7R7yItb6&G*b|FO$@xKsy<xtLz#&|f+|D;gCL+wNVq^B%O
zns-cj^^y&Zx(%hPOah2M3(&i%D}!Q;^4k7OW<pPAK9%ji4m<4L{2s+4jeap1Uk((c
zM<Xk<VQv-x-KXRBqX`Lg<yZ;vt}P9!+}rS;y9WceKIzTE4l#7O$sk<QW)qLBvvy9D
z!XSH3qpMG=2wHF2m=on$!>6vsUh(!Zg=3M|t1^BGq5rO3rf9!i#)Hp1WeI*{0<($M
z_M!5E=!#WO^04a?UR}F~dt>K6Y@ona|3rTDH9!31^z}tt@Y$EMbi0h9sqoa|GJy}B
zbKp)OpIO9-H5#Y&bBq8ld8#*Ex5JsBN%6@Ki@4p<cRE62hVb^u6{&(W0>bhY-3PLk
z@a*ncjTsX|*u$C5JwVTm;#WAs^&c(c%FW~(^LYl)5h!cCt;UIN&Dcly39RBDzU4eK
zUDXHYqqBQ1=dz<eidnV2HETGxiuA`3cYT=HB#WvTvY{h$>izlI8@PNs`Tl659=IgF
zJCP#9ig<>5-YMVQ!arsl3$!BXK}?OA)o~&VQvYScFYs|2KbF&y%XMdGZ`Ip8oF2rC
zo?kt8Zit^2v3>Z!p)05he&6fYC4Vs?n~99n3}-szE;x%fr0am`g-a#A@l5Es?W{$^
zeR_1{n{oFmP8~3^m0shtXF{e!cE8EIjOd88XpwRT1(*`W6X<p^p-(-zX<`{n=q{l+
zM@)zU)I1a0bPpz^@8cJ(qQHWz;_uMiFVcoL8i%}`ZZjd1mN`SO&#VY98snML(uRAt
z8n~?JnbBkbWsG=>9l4tcRk62e!R#@C&R5CINcYu5u4FtXde)&=Lq4hnlS+H8S?jPM
zA!A~#Y#KMR*_TJWN~;AC((#lTI#x7bCs9^9KtQvfL?2zaM~0Q*DgE&UR&?i;S->JQ
zFS`2RhlQ3s83f8buqGCE6vcJN`N3{J<nGO<Dndtwygy;-E@m9)oJ3ATN&!ELizIN~
zsUd-F(TU|3cQ}#l*=+nEmmpGj@;Y$;SrUkq#@^6X=0?taI&xp~gisVU%dXax1m0aT
z*uxV9^r}5gsS*=GyQ^A+Z|}_2-1C9?-mX08s-s487=svEd{ZZx{#Fz04pfzs-FZ<o
zkH|*)xHuA)%9ygw(1fRz*34U>e5mF{tq|{&Bx1~c#(e#RCbS&+cIw4FeiRt`;gU;|
zG^+SkO#8<}6Fv(@N1D$Gpi~aF_bm@)ke*s{@^X+S$Y>}Y@pBeJZu_raNE?zx&)25J
zItw&GdTAlB`Li$@qno=sBPWm8J^D4fW;CI_|LJg5fG8SY8~l)aMgi^e%cAVpCc(o~
zhZMD>#gVF0ec|cPim0@Wvp->HK2|;Wtf*s30!g1QC*L$wMl)HeDVY-_NKrLx^XZmC
zHwffAqNOT`#n<Oafd7tX*ZC%d|41Y5i9cN(e5$DE{blkNgBFO%Un?Td%OIP;!d$)c
zYDh+a`{&=+TCnjfJ1mV}4k`bXvWxqqjx;>0Yoju>fx{`K`<AFY5`s&;eteqfb&6-Z
zM=S;0-RuaW6a{1|d}mZigoGpqioE{I(ShU<LA5RG9lzGK3AJRBP{8cAk$HnIMAq^X
zA`dGeei;&*-xLXb4+xtGV$%on1VbLNW6DU8^@ja~0vUxzTpMinHGuFR2QEE3pn}wF
zgHf6e8Ku)4&`#|&gq~Va#W!RkI@|yo@j_&@I=td;V`~gGjal)DQ$%FxkaO&G8ws7r
zXVz9~HGxCCeg1K=sz^lEEPuw5gmSfPyQOq6h(9gA|IL&tlJf|C*RQ0BICD=tblD9M
zmT-Q}N=XgbkGNsOUh2p{`)qXGF97vSw!suNHRN4$@8qhZDw_0Vx92)Z1&O`Qr^_}}
z5n-FQBaTi5$@EirLVi#|uKlA@S&k}VJHdKZC|(g+H~*KSt!oA@&3EP!)`+O`Df@@f
zSvmCc@8sUqU^AF?;AR!pAR>JG!-$x>4B}KeC5fk-fp1E?ag&}3@`(1G$f}e;hEE$G
zwPl;Z`esmts)RDylUhhI`74a9Vk@bKqRe3ay$<(_QAPBUwNi|d#E(ky7YP@f%>ZwW
zyQq+_fX?6P{_Ay(fQH-G^wUJlAfS6GUKW!_vEACOZB#b&^<znt=#JNZ^gLmk8k9wD
zRUurL>=}?<fDyx`b5!s)Z~Da-C4(4Jx<ht9`G;TJE~)Jmqryag!fh)BX%zZ+v?MBP
z8DG70m!<h7fWLlp>5YdHsGCM<Ojl|a_iLr$jB)_5(ort$QWZn0?2{);9Dd_vK5Pdw
zzF@#K?XfWNUKp9x3EaO(Gl)-R{I*<R#2`Y2@&2Eyf=JS4_G9Gx&-kYU!-wVcO(EFd
ztI&3*&garzV=)gpaI&y%Z$h96T%tRB)a4#8T7OyQ%01eMf6Do9h@;dP)c<Zxs!tP8
z^y|rkccmKewWnfzR-;C6K766h5pf}v)u7K`+?w#V;PBvdWh1b-w!FQu#E!&({eVkd
zJ1*3AR*NRY5bTV+D&C%BMG{4dSN+>N@v#Z(;evVt$W@o3&)dz6Qd3rZ{qBCj7w)L8
z9pu^ZRNBJTZZ}30wpBlPS*IV@RyP&o_tS@@tF~>emGo#utX6)ZbO_hXVC=i!tOtaz
zgxqRVI%Ir2a+~eXPh3>==h%{>9vHD#NNh0DBJE*=F^a<&K1H@V_c>J;%KgGL$TT!4
z#GAVNW&Z^3`a^48YDEV+M{UWz4*&3CC0+^Jm}z{{_g?F3FC9=j@mS1%eG_kC4-#yb
zp2J0M2`ndnrNDrsyxgU^4cr3hGSzb};CYGblry#zc+(U8JDI$Je@gAeX*iZ}T`dt7
z?+$I)^=XqT_iP<s`{YqLD7u1&PH#8aSZTvXVKsAQ_&Q$La5M9O=^8GlYI0NjofZV1
zrOfR=vyN}O8k%mO+rXa}v_F35pastaSznKquj8X0w4)1MTX?14kcI02843@0s<8-e
z;HQGx{EsQnAhYH;TKohVn3gJwH>x-A&eU+%+E7~L?l^yl@gE89Dm}banXrjpaGH5r
z^NkLD_86Db$sxg70`HZo<SqR5z4>|z7Y5{beMRMn1_`)KADQaD`G@NlTL+(?Wkjtb
zQq~&znsDYoeOR;r4dQpL$f_t~Mji7V=eGtl04)Twz4%3gYMhTv`NXm!f6we2=TtRd
zueZw<<s&Vsixg%Gh+{|Bd;|KKFR8<K+f{$P9y+u+I(hi{BTl4P_W7*hh#DvtGm)tq
z^yt^nMt?m60sRjE0RR6CmuEcHZ5YSxz4yxA4$c5iK(N0#_WWOt9m)tvWfn?V(I5?p
z6f%-ZMG8HdltTL7AzMjyWR)#@ugBZ##r3&f-1qPI{kBiC(1zF&VEEpP24SE_LfvNv
zg>1Od{6@opXJ1r+u9u0mDUSh(e~oxy@RA4V#bkLrr>KC}ZJV&CBqkJM%Tjn-l@ICO
zRqjh^QHC&k`X;quW`xW!pVV*ssD31Q^?9H&L{qLLlRvYfSfb$Rs#HM~QXRV<DWnX}
zDTmTteq~23hl`KqL<u9W&gaWL?MlE;?9*-9<V5if!N*dQL{ZvZ8=vVsC8(ZyDITQ3
zjgGkP$C?`UpeMA#$8?jF;BnO5>$x#Jh?6P9<DRf2DoXeDFWj9AoEMjPH_MA!j6HYm
z_(~y2i#bwQs04|se0wQT{HU?Ej^$mAGz$DIoGdo31Oa7(9Zd>?$TIdLZ!;!~eDov}
z0&JAQ(ZN;f?xGOll$!D9`Ywm!1rJVM>r{rz2R#qp7#2ZQ2g@A3g({%2$vDyBR27)$
zOj%-D5<_0{!8ZDeO6WB{AnYGQ0NL|>q&h_jR3R7OCpW2#67G3Ko4r;A@iX?eHJ>F>
z^l66I#qSBo;xrfICoy&SFxs~_VpR$~wFf$$%W6ox(Wqh6p9lnLe}))L2KmRgz7~-r
zqEfj>p+f;AAR3du2&KrPc8v_}u0<lMXgDWjmPUr0Ls1Ne$K}wEbECmsB_z~HC?hTY
z)qrDM&j0N-RX~hRRUfjBkP#1$Lz|nI7KAkw@IB8|L{z;mlsfy#=&E(|;xLU4U?aol
zX@``M)4;#rVGRw$Q2&K|@2f7%xff|S3aFrli2Av3dkxg4!z%wZM<4tXS#s{G5>R&Q
z@8(EV4U|}?QPF$L5T0Ik%}o+hMY8Y0mV~~N(SzU9_lnOO!@PL{$6~iC%6xA=_Jog&
zVrK58ClCNyvS>v*538Zzn17^`dq{{-%VOlsZUXJ*Ob*Qt)sUs2vawTxI&x*(N%HG7
zft39T9=Uhb5Vaq*Hku@$tI1qfV`3<9jbF%e+)@qoe%p+6DpNu!E^j}P*-XLPG2Dgn
zS`}SSb$re4B9B`3o)KX^Z3=wie|G|Y5Ri#ebmhwdY2=XcNq#fm6m;X~u1vmDLGPA`
zz1&OU$o4qdAIeQ3;xW~)yWYx3Soc}?<4Z!Qu8Ok6P-qHFjlXuj|4~FrlghRG5_wRQ
z_@c>Vq$%W{eQNaCLIL^p-SnnD&w{v47myBWn1b7M_O;A3In>I*Kb&Yljc&D+Y0Y;~
z;Qpt8z@2s(bdr>s|EYZ*m*)6eE*40EN7CaLVg;qq$F}RPBK@8Ce|}`PXDcRPG~+?-
z?J0>i9SGb14*bBLPV;)DT{HnJO;S(h={-n#v9v<6a14`<uS*c4Hi3u~|F$`b2x2F_
zGIVj7#~#Feawxn8aOuA(Id^kGboKCCwe-AYEHmd($SN}c?|c>C_X~W8&EM^}Q|cNv
z{$8QMQ5J)Vv)9PnBi!hqzW-3X#|Gv@BIgVk7=z25BR1k(oal*a$=_qPo0!+teG`uE
zMliy3V)`OtL2APT;-8Z?vD8z2kH)SVg4%Juhm+k5C{1|mvDkr4tSUu5DY?i1L?qeT
z{atC1caXNHZRG~GlDb!ec0wQCIH8ahG8M8}4*I!gbsf9VLn00<?!Lp$IdrXI9k1d<
zNfsRI*za}Knab08FqE!(Yw_C>{@*vFQB$Ec%#cz&t5L2C2MGzU<$dRHu)ds0mRrS+
z=10ghvFpP79EH4@<q2G1LcBi>Rxp`6P60~Cb%3UuVKk8a4^C^cp1&EojD?uDkQS=6
z!TtJB>(Rkqc;{<Xkyn*V*yB2-jvje!NEB2UJI?U~*E7y_6w+M6(#(gnA0%l(&7zCv
znfeNR$!CMcx?vI9vi>o@vaShK&qte?r&2IFdsQ~8xJ8W7oj2^$NljoW@LjLH{{^G7
z9JTcgT*PkszMLx?&;W)nO=Q7~-!WdP{2!qg7O|IKE~PZOX@Ko^ann3+2j&vy7DiLF
zh%sbTr!{tv;c0Kr@V=>E*l)j>>R8?-Y<%v{n=Dr{q~_52HM||b7`o4GoO!&2O^kP^
z$@Y?fIZ1Lj$9fo3tXpypa9PH-C0|~&^(DbmUKT00`oGxR&_5Fmy%j9S&y$XNmI$F@
zdFd|=#;{JirhqA{RgBN;-xBE(5tQA2uB87rfz`$HWirIAVJ?kwuC3fe@aQ;U?=3Nn
zot;|14lb=@CL06WZ}zLhx60hS@h3BwR^hJ$3K^T2mFGrI)KxW5Dt#pLLwpXK(xhyV
z1Gll!9YrzPPpZI^*j_apIggood1FV7sGuXW<-XM>0nTaVvV7Xz&42Ruzgll<z&;H~
zx|<T<=~L<Xfbb=3V8xH~dI1fToT8#SkfH)NvmlU7WCbJpov!BRrh{4w@8@nK$}lAO
zPO|^^D%QkW_RIV+J#<g&{K=sxgMUQVL(95#tVCt?t-cE*JS6vCIJ4Vd4~eongFTy=
zxL-_th#oT()`^Fy@hCw}cO7-2=nh7cSKC@`%L-TGbH~lED}u3G<HxdEDxl?<uQ{2{
z4t>*q3-{3~!p2E!Z!U2fcyaG&Z8QrPB=Rl3-npRw(OI~Cc^WOeeA;CEA%Gj=@SU4_
zq6(nZnGya+g&yoW_q4}O@IX`kFgM3XdEmIx`+I7f0r=L6{(Vg5gQLT><a#f8@W_a@
z3i`nW2@+mf*kJ(>?P|2y5SE7mTJ`tX2n!s^QU5FIBm|<abc@%9<e=H=!2y2)I{<@y
zrt?`5xIeJZ>1l-=M7fAoOBZm$zSYc*zD6-PFn4;2_LUr@+}qS1QR9aH612^OoFpJV
zQzoOKL=J2W=nN+cc);u@np0<zg3K*7!56>efF|cnzP%YAls6wzCSR2XiSWlkYm)MC
zkNR_|7Oemr`_>pFDI^O`t6`?EZ_2|Z?)F2mqk=G;l;>JhF9%K6yV)*FDZs}w30~dv
z!f<C|OsM3J0&L4ByzCfLfLB-9n(gGpz_~pSs?RGy)T_5oo5mC&k;~uN`l>kmTP~#;
z2~h#PdBbPyO3FZeR3la_MiL%H@fZ-#se(gG->dAmDj<)4HI?X+g5Ey;qX)04!__M^
z5s3+^@T-s1=Wi?n>@*&C^S%<nCn(eZK)E_tZi>_qie<ra+B`V~CxLo?{V5?i5{!j%
zN_&yzA>qw<aeE#ahQb#TZ$Bgh$9@{aq!I-XsjOSR5uyS18t!`!TWZ4n{`)2W=_<ju
zdsUP*UQN(kctq_dsSTkYxO+L?D1$uJp}=ofG(k9)$@z|qE);iRw{P+gz#;O7@Q+uT
zfNAAE)VI<HqmuctHwRQ9)o;Hy_iat!?P#F?dBqTt9SV8vPN+c^<#wgb9!-G8ptA&I
z41!E&s$?zIVLHa3$i-0u=B-b;a-9RH$a+oq)vpe9B3=c~L^3#|+jJ4pCeX?^r+uEE
z2x}i=i+n#5VWuThhc18ugawPf0WKn(`t3Wh#-j#1o*!(UshPqRng)KoFY3@wb!cbC
zLK*t56=($4neOt#PuG1c>TqhUMfm|m9*&i{*!YsoAXRQnX^UD7jvQJdejrH$=azg@
z*-0~awSL&8>kR>tX&>ihUJ!$yqvW*D5oYk`sG}@Mt3bM4g31&pKiutUkj4(0LG61s
z0WTjVps5|b#rld3>^o?GeiAT)dK<E?>{SJrweY!ndVmUIp1m4~Ej5KVH9LaZx8&f3
z^I2~<+es|)sq?~^r76^{i24~P$p8~Mt2DEr7T<ZhH}_s01-9naDi5Sd!JF#zJZXnn
zyfBjeq`e6Rctei09<!E!eOqP;BE{?Ycl)XGoDvfV^=1a$G*NK4tqjFLjXbR5YIjsj
zK+?%RsfR-dLUSrUec+};oDa3=yK(`XeD55+UBw4w`i;~Z+w>^bg3$F@0-%7Bdpqkr
zH;gUyL@??wBG==L%*G}dM8BV<k8Ng$j`o6Sonc1Ae4;(I$<7!qK4KcV`H~4XqpxLa
zDKH_Mkk4e-V@A*|X=PK%NC##v*|YRgOlaP=#p6MoA?#zn7hU{f2Ww+tDmgvQh*mG{
z_2qkK03}?Lqk}T5*gWNKVq7{SdS1|+BDUMt7JRYKt$gROvXf!bhslh{{|?PBS|xqJ
zn>UT=KaODM!Y{5SerG^V_jvY-2kQZD6Mt`Os1v)y)LSzd&Vb_e4#YNn)&=B1vVU-`
z2z#;c?cy4N0Tq<5t6%2R1<#b7v@+d#e6lD9^INA!eDx!V6~Q`CG^oGtjBqc`(!CjS
zc8DI$yb1~z{izMN=R}=VS^wf%lZNchWAw<{=$akHKpV0hzK1{Yo5Z_T3%|N^FrX!x
z$M+`+w7_7Si;DB{EFM!>_07qJ0dXHB2mcb)f^f0_;;j!X;MzutGf%!SAhzCr8)Ipj
z&_$wEiRxd%`)+JsIOD*Gj*M?uFK}tXM?D6ocQ&hdT5-gqZU!ba6>!P%Z|d&<&UslS
zm%EPZoSPsI4>2JHyQi-2gf-yGpBx*LnN9o+yQNae2s1Jc<IM1QMuxI4r|>4-9ej99
z;`jqzR%9M2YdNb$24Pm}{H-b~^tXTwXFbV=g5};WoNpvS!NPPoWu6+D$HhMU_>Ud^
zTN>aOJx+pSb>CPAlxb0NM^<)9HYcKaYsj)qPlBn*1{${zIz;>I?|YvwT&R2?&Hhj!
z5mHPmR(R{_QK+46>)%FhbW#0-c!UcPzN+7)_R(TQ9E19+@^d`M;Kn1%0><6^dzBP(
zvy=(l@+oS#Pv%1{>s|}*qSbf#+(EnPAPX84jZ1D!;YVu>DlY^#)!_cE)BaupY>3!K
ze&EO@i1s!Ve94bj17K#Ch+ASuEDKv-n_ml|KfYQw8|BpC;>y+M=hiq8B7M{T5h8*F
z%to6O+Esx~#x1#ohZ~)K-JjRyDu()&>#+PxRUmOOvs)SSpgj}ALZUw6C>wPeUkz1-
zY3i88^~=2IMuz2-^<GI7DPgH>aZD91RNoLX@8v@>XZSz6MM$C9hU33}g{gu>=j2MH
zg8<ro=+&I_UK+V=_UPZrQ3aDbwe{75g6L<f4Q)E3EaFMt_lkO674-8WCwCHsk^Zcg
z8{0`a6yE<c$1Fe%jG&+CwTmdK;Z$H({4I~rugZUKSa<Vo>s4^O!5+jeb@7hiQAISg
zrR+M`rw+#r94M`Z5=gtPpn7UV2{DBo8?gu_!p)!w3y~L+sEs+f)h|p1(G30zCGe2I
zZfA)9>sKlC>5tL(+Rfc0cVdmGZXp4~!=AW1<I?Cu^R(Kt3u>t7j?#~|*Sq;m`7KDp
zFN+YbTzdbIItsM3s7ZLE0o;q0zQty8=($a@VtYCf>CbgrYW~!OPYfTOL(a&fv6p6!
zLy{z<mi0noPCy%qjW2PEJXSy%)F-g;BoeyYCfn(KUI!AJIUePIRz#YCE#;;iBxDpD
z^x0=w7wq#3E?74yA&ax?I<9jh^fu+Jb$gsX$g_KEW*}umJVNc3*G)oCeU6l*${9l0
ziSM^M(^Sysl512bfrPlsD>^g38UcNu;YN@#0kvuAI)%}Y(BcCL%~OXluot+)eV~+p
zLi8rO-Assx@V-Q1_%y&&+gH!TZ34=NG3tF8YRFzy>DxPT6L>tg@5o1HRmA3_5w+Kj
zfUKztDtSMez@|oDX<!!tZN9eUDctqSojVgfe%cf`S8*9#K0!c-jA<uMFUg~8j$u|&
z85AfTH+~^jse+=HO;?@@$fCB-4O!*8ekYuHT>k#BGJ^8R7F!)D6#DT3lfeoF%pzZs
zG~1QXHgCW{ajzJfb1yTyvqpio<>M=<j}%d+?fy2(BSECQCf)vMfC6~J>?u<#1@!P2
z1$}DaK`w!czO-*BU=-CesPan=F@Tkc2PZrFsKWfb?<56M4MX;^dCH>C^qp57@6#iC
z+2CIXg(whQXF%ldmquA(&{=VF8<&6AQ+lk_1nhlh0`GfBp;gAbsdBDGJpJ*9@Hj^k
zC|Le`sph)`>e+g;=e+(XzA)st{$T{*Fv^uyS{Fn8EIeG*>p$_;8U1>XT~26z(YoYi
zA%dtnZn3%)*<qKkqbi4Yz0#(#{JTS$AaZ?cL}8U_#ttMee-_im;MUdE_Y-dXXoQ#5
z0}txLR=n&_{yuCB5w}WBLlk&X()PjBxyav`*GA?M%XlNG*a{D+l;K8a^d;-EO9wFT
ziT5><rG~(<=TaW=AqNV4%e-@MYXD0QpBQPIF@TW2p`qz^tZ3wS_v1qQ0jz4snEEEc
z02*dr>99F7A&u^Pk4$^}FhXhMQKKMzkO*=rqkBz{{>wPR9>Cs%-R!vaul|D`xCkcs
z?suU@#&x+H7BTIZO>w*XHoYE9U%V~gXHJb&ZMC%PBU`Yhi?-p}Zn~hK{ow4r>217V
zP+vyRt_I^|6Q~U<(gCk5tFzN}8@PY=wan;;C75;cqL>kv4#cnWPPFi>;jsQH%{<!`
zbKv2LuMX7)?=W)rGqj95Up5ek?R$?)wFY~3bZdd5HZk~1-6DRXx8Kfr`75rG`8vzg
zTnp^1qXo647jW|R<(H+WTkvKc(aOPhn$S90Vb)(ghYwyGaR~g;j`!1gJxEa0gaiX&
zvE$EY@t&p1$HMZzaHD^E?V{Nlz|wxy<x1)d-f`JdQblh77gBb(6CtVr{&~h{4jKK!
z$9-yZXMPXi($BjDFWo1D+}?r?XX|O)gR4T6_r_n`bhP7;*d8))b6wpx_;L!b6*yJ5
zX*h=a-u~31lS=}EA-7?T&lGNUqN?i&)g(^0^q*G+fdqTH%s2RsP2qHP<FesB)A)7c
z{PFvxL>Rnu{Uz7#o|nN3)&>5vc!ScJ6l6^VPLG?yV!G3KYjDM|;qn~*k1^8Hq)Z(y
z_);kq(Eh`pJY1alc5eaCG2Zs{7*&JwB3{0-95eW*d@0pH*Co8Bh(5GlL=A>F6+6$V
z%;MLl)gK(ySiza^HvbOY<>q#HT&yxPi@!22Kcqok!+n$P3pl3}K+G;YuA+4g_hAd=
ztU9=XuZ=)paE}W3UUAn_?VQI=-@m(V@L~%;FXAWLEUy9+f8O!`*;>HYN=7vKg{hF|
zS@z1P^UA<d_3+Ajt0kP$Z|iM#jv8f;31vNKRe}TU4LABrmvI&2=G5V38dRbzTJK0!
z0?SpNI<^C=xDp*J^QlZaR442e(vztOJWOvjT}9UM_2meITu%mMcjWB-C<aB?G#ekV
z;o9X2`Q#rNPE4o=>$;j5sQ`0(`cBX2ZR31=w}f7Vvml%1y#;xz@^IzsnfO6FD&*x7
zd;M`E8{+zwaMvhW9$XIC{_%ZCjf{>qRKy?RM9+_o<qNXQgD<OYr3D8q>Pn^*O!IQ1
zbc$oWaGo6eUDIq%$)!VW=W3*ivUpIhig1$qUO5=#b6vf=d!PB2fQvbM`A~>Z#eL$2
zEO6-7EX`Xnp=h?zk!eW*B*oa8t5GHkp8LC(u6nYdJ);s^1JXh$>WRCE(+ydWc|1OJ
zqL2;Ah|E(rI*FhZr>2bl6S7du^N5RCjT4DZyz`zY5koC)MN1F7WMSXs{nx^mxzLX*
z1{T))CD2}-t+8*xvQV#D?Rg}E2lX#4%hhs9p>U<}aOW&p2<-1o<`(8d(SFgXztg4B
z$fCQ?`!QLdX8D-fHo%V#2G3@P=*Xf%K0gLEcR4UAayVT6T@Z;eGTFMU$RQyG`~K=R
zIVd30mfjc@MmzteJWu~rKt6X~p4{6g4?o-uzQ-tup#$!D!w2e>P}*Afx<jV|D7$L5
zlQYDTcB22D%{CR3d#);jUtS4HMA$wgW=NuFOC?9+Sykl1+p1%PltJ~TN)&ln3dvu1
zXs5wUL}r8jDEbuvKHPJ6(esx<J31CtzXeI?=Dz)ztZQoUEh&wrbX*qcRhg)zijk3M
zO!}1PPa=rQ33i7@$fN2@S5ueSHIPVFM;-f7GV~Qqm1Qw0qPs3lG^+y|h`{-VcUDXj
z$_|NUe#}%tsYT*tyf-vaf2B@GJG(YSaE9c@?omPF4Xh3GtD2}?>>PuEiY^c(%P7LP
z2&m79LB~r*3tjW{#9y7%2aR6ptEye9=trBk-=j@U)JLT?a{Y@TJh>Cp_G(cLRfw40
znTpgzj7ClWctkO{+bUq3(58-DgQPtaA8Mdl{}rFIw*Y2#M;1D@h^XykEH30tMuly&
zwfvPPa80-Tq~Jj!iod*4BmR?!BC|OlvzP)!J-yA@c0^=xtVCmTOBKaOPLK<uOyO(p
z#{~|4A{v>s(z01lLKzyG*9~_)QL2BByvI>>q+L*IfxVMMf#(o)Oq3aro>t2*8L6R(
z`qM>1!BXf!nw^&UYcr_q_?@2FN<crq);@XoR0J`|u_<Q0HG}f7b?$ye6*MVusEo43
zgA7%1UDX?AAon_4NqD~!azi~80tQUzc#u!^Q6n>m4Dg>+JfMIIhGxbilUDIozAsAT
z4paC|U1NRTLJl>>ZWO=E`GK=qqz6X1n}VERToh452K{ULR2?WihPe;atedt`!2K>C
zbAg-`a;H<6dMdSs4PN+bbKHUgDb43z@82hmxW64Mc1x!Q=j$eh=Xd>-zU!P{(M1uI
z_&(?=^<H|AiwUytQZRwu=0{Jy4hx_Kf%*7f<BZT2+xnm>3*gJYL)}Jkyy(ftzHN`^
z%+PU*=_V2YxQMh;Do%2tOK-k^7B6Li=Ttg7;{*)mbKh0f%I@|uVPhlPloi-Md%g44
zHHM<|7;oVsJ$f+OXd!uu6>c_`c6aPIg5?0Mst^h_TD#4?_p1{tm~boUHHR7kGq1^f
z497Y?#T-h|;9`aAOEu5#WE;Sljl&%e!sl@(v}L1R!U8%+qFDpF^r3FJNjzo$C_YnD
zlppEL0xQ(~>CwXaVEZ4h8@pu(-g57>g2_5FDAt~RBIKh7*_%wabQmw=Q4Dc`%P*PX
zh`QDG&3C$Bbac8xh2|$l5wU;TaF!YJ&AGWu*>%BJQFcbdd<a_*<t~*!!VHP&PWL|t
z>cHxu>u!(LC$PCd*$%#4_vigtzmndn4SQFFguC9%VvKK9)-!G}gGjvY-C$#FNUt=b
zvD#X|QkN3$|7&Lk$_Hj5#~Us95Xb)^lXV3vqi;OiX~hE8VK&?P3R>{OuHRK{d<|=p
zk*qBlW`T=a##%pfH6iyirSRC3P0Xo}=}u)nD`*RZRU$b}7-Th)&8O^O-lQUFi3~Qd
z{84#o{e=doMLA{}Pf&r={T=z0*X(eS&izn~-fr*j_?mYRX`p<8wLEc|1D<mRj-6;E
zgL;qp;k@&-;8L7Z{!EJt;;H18n!L%-e#J6qwvG;}CMvRq8My%su|~A+kRUGkZ2Sjl
z1|TQQp8q?~4Gfcvr;47C;L_JKT#X5gQ2Z(R;D0MT;A*}=F18`TagF8F7CL5F8Jixm
z7UYA9kG%qf4I;=+{T8=PXMy@ZcUNZ}`Qd5o(Ehl$M2OT_*~l|wgSE%b>%R&GKxgK#
zu~`ri{xnMaYf^K7^y|K}`(%XRjKcZlHBBN+PU%r={^f+62-4TMGGR!5KE`~AmI!@v
zp&!PUxM1Gma&K{{C}@hsZ67aDhne6~UoJKtkSu)A(rLQ~iqcw3CNHSNu|e(IH??`;
z*A)NqM{5Z<GiWa7@1hQgOb0da2tFu3VLJZ%og^gY3s~;6QHRTPUdwaM{P3(VZOW%Z
z3a&JyGkP9Y2bK&~LogBq7GCmo8fF=A>F{ZMb4wlcQu8BkeHDUF_M-v4HnK3^xp*SC
zUmaeMZX7@9Cjy1veE(d0C<od}9MK^JBFKCr2C~YCLC28)mC_A)5Ose?R*oiuHI<Z|
z;OZV2tVwdX?4t;Ejw;GKBSc88P%BIOD*>PA98*5FD8cO$d|~tcBp9PTs@=ON2^=R3
zp79&2K#|^M$w_)LU~0EVhp41MX)I}I=_vsM?YlctaWdq!3OtzNlL7aE8;5PTRKZPX
zwp;1023+3%=cJdKEEI4ietcx44kEFCs~r+G;n9g1x;bk(IL#S|-Bu-nW*#ZNB}WSs
z`_RyJA9=9qJu<)kln9^4$DH>6)P{?v4mn#zD8R4u|3ZIm6QSSP;en`xF6fc$b+e-s
zK|5J>a#)iD_X9q1E?m}wWy%?a!@)}M*Cb^Agb4{Q6i>YRJFgFv=eaw5dzIk=(Td@b
z1PN?!hfTSiG6Z(kL&@IsD&UyJ@ldmg2-5*Z8AhW<K)mX6!Tp{JJiMLlHDOMKV?RtX
z16(lZ@-?pSpdvu+GFDn6st&dHv~GzW1ejGbW0=$?KvqOsUg>^SpxJqEzGn%bV8oGG
zOqT#uJyF?Onkta!TVE4*(FDX99a9Qv2q5vBYE!635jYMWFTOQx0t^%T2n`u3uxwTF
z>WH&Ecqk<YB~mEBw{D2Cmz81LBj58{xeT<A2ew&6Qs9380096043~F2l@Aog?VU|V
zxVC%U%f0q~k83uJjH1j)k|IR5Bt*ZGibAp}iIP?7eTjyMjEu-0k&Lp*&%fudbI#|S
z=Xt)xpLZUT<p|Jnr&nS`QWDq{?9#ubQ^E3rEP+!I4_Qto3-nrI;Ht0|mid4RVoTO%
zcG(r6*W#<{pCBQaR<qe&i=_g?>z<!U9ddBM%8sy~pC1~qgF*DislXMa7Z4XC3*v04
zW1r->!8I<kMMIbho=yrKdD1e#8C^)-@MQ&RQRseLn<41N7e~uCNI}(|^`?W#^l){M
zaa|_Z5HPy9{47^V$SNa?su}MfioNtI$M+k;hfmEuPZ)48rRiiPZ?b}H$6tSRvJ${?
z=FSlYA2ImyR4een=se=Y`uUsN5r8zwezBSv5qQGlk$zWc0*ML2hZ=oEAkuklbT>%|
zs$YNCSd|z+dX+1F4zC%&S+9(*Z|nrYLSUnlVBUckYUQY2!yCY%krRbS&H17BR!4@R
zeiP!R%rkhyMIWB_Fx=|(;)U&qZDPgpYed<rO5=OF9uSz`-Eyzs26M|deg?XANaKo8
z*;bD(^w!3IayI9Lh?M)M6OO$_6vw7tY6<H??2_1S{S|iDVqI$<YH32UkEbh@yXye_
z-kj55WralU^Y4XQT9F@#yur@p+VEG6nLmDj3B*_0MzoJ~A;vAjrAl<#aAkJo6U!0<
zG(9<-&^X$MSbaJ$NOwXDzS#+k{57KoUvK9B9&Y?VY^zS!y{y&*x0D}mV+Lqp@&NGP
zs2f9`iH@BS6Vik$y}4@i1vJoCx6e0KbPAy?R{s%<(tyUw>F0v5i`<km|LK$Y6Tyw?
zv_#IR1Bsp?Z~X2KVzjGujb42onJ<}2rW{v?gP$U-KN)Nz&8{Ton}LgniCI^GK#Lj(
zT36)`X>1`rm+o<&c3egdpQ8)oHdKQ<*~ww+!J7yRL{qO@{6*rp20i!HtHK-p#&^{l
z8;DPW<klgZRm9_OVg06#D&R(jGDBZ&AUHqfykehqL}<Idv*nEn*ee7LoT}PD%m%*N
zkTW)s8v$3o1{$lt68G;;tLY8opz^N7+Qc@ZT2eo@@Pz_vMPh<o7MqA<H`~S)t6k*j
zkek20GX;(Z*?l5SZz6#K#tQBWG*G>na@BQ#42^Bqm=3<!LRLw=$61ch!6syyxLhN{
zxtX$z@@LyfHGNp!J&Yc>qB@GqB*^e^_@Z;-;104nh;E8nGlFsFWmmT_WyrDpW^!9^
z7g0Tb@73526Hpk97`)#qf!&wuh5Ni|;I#Z$n0Ffs$k|)q7TJ^_V=+Ab>JeI4ou7T?
z*~kWsJQ-5Q-AEv-^IKqauMfG~6Cs~QIN;f#-{E{H5$H6=Z|C{YL-tDT%_brjeCHmj
zu8}7Ki+^)vVle|0w4tu9J>2mA`(4wu3`KYzDOH}%$OI*Mp_xyWd7;(LS^BB4A|y{%
zj|n6&L(nCS{>oxLxcT?`;h_Qoyed2N^STl%__=ne{6PeuLcmV{y*>f_dg30{{9^-2
zDId<2O+l!c_qaSfi3gCcxtF=g0rZ9I?#ADRfYK+%K9h}y;Ia(FQ<e+fSj00qjf+5v
zbEDXz4<6c8lIYbMxIr#LvG$gL7z}M~TYDbC!+|HW_mkOp!A$P9=zO3AL|SEM2%F-;
z@{Y7zkUt+-dS1K0N+SusV*YYCp2Pzhpx2cBmmglPjgCe-OM#PY!Nb{Gc<?{Ikd<>^
z5L$KkUpse7!{3ih*TrV=U}xo7`rTOw+^~EP0T)>)Jy7G&>P>+Ck0pP&nTUW_xBMdP
z%0cJShgXjK6+tdcHKfJr0G!iQ==G~q00p_M^t=s4Fq7pf-4`hij9TY5hl2^ACD4;Q
zB0z#`Z;LNTdf{Lte(tb}F%j%}Ji0>ylz=@~-~7cxNzkLstr6o_0w2~wi*7bDScvn<
zT^*MKlc`ocg&}1qGkb54LPvpovqhj+mw{`%FGcD;kztoIWAH*s1=_Vc19NW5LYVg>
z1)IAR2z*vGb=_ALynVDL3g+Y>p>Q#P%~S;nq<lZqkEns$Y@L9FsRB^1LB+!!74W{g
zM5i3C0UfqIQ{U6@5On8~laaP6T>s=1-K?zz^a+NeVLb$xz2KF1^o%M<J+wqV^XovM
zu-Ht&x+2{F@~BwgxGJ<yS1mZx>4DD>^|#L|5q=+Z*XpEI1v#-}0Uay)AY<$m-_}He
zmon#GzV}dpO>DPCVFZD*%^ttKPVCK37jcI-k^-Dt9XWA*0LDfA^$O)m&~bt%+Q^0s
zvNHW&w@MA+c-MnW!8c0KC6;a0)JFp5yT`WXPf=m{qZjvhj1t5Gjb>W~0nR%y9MWH-
z!o5-Z%XXV2P{Ua|=p2!UerT=e^fUthh|G3ZA_<1!;P~M-X(+K7<X?Gg1cO<^)_)EV
z;TOG7Nr62MQYXc`tv(n*lHpyM&~5_UKNsFzz$5~)`x4SiQ6o@!L<x~|#zU>|i5sdz
zd@wB%(CwRU1P10+)09Sez;4do;K}EJh^qH=E4D^3rPbWY!6gUPQCdzP7wDkLj>dyw
ziwYhrk@Z!UG9WvfgdcNWK{OD)3e{BV-ro;xQj(=WFef!owDkv4;KTnTRh$Y{naK=l
zZ8#V)<`LMv)Pnv<GaB$KFa!xn9ie_raZm|*5}(^Ojbb!OFF@W9F3Az@?{0{|+JZef
z?%Xo!E_yJk<S_vCey;=Z=YE*})$Q<~%o-~4KFaSu5<v11Gp~Pa0&u@yy*bKb6IIEV
zk?`|Iz};0L;ms*tn6A*a)4RBh-s<3s9*;19p5oUbq2pXY?<OO-b8`pv^8A^3^npIu
z@sNE&{MbQl!n8ejWe1J@rv8fKtscmfUmA$@Vg`>l+y>vecTn%i4<Y;J_WTi5gZ_8)
zU^VP{U(0?6P1X2unGdH6Jqd*Hi&tpC%;fsL^Xc1Y^m2{DTPGcO>v(l+ki3OlF_k|&
zP_>2XadGo!=V-(B#%|CW-71om+}?1ic@sS!t#%3Kv_R3{Qjp}cga|G?J$UHb1{&4=
z*h@oC3wmGElnRv3B0SMnRkSPXsNomMHK9A2V32>ymN9f38CKnP8YZlx1?73d$qO1_
zv1Y%1k2rvs%zgQcMy;XYulvY4M>XIC(`mgUFWQitq~eBKE34>;wpPPXjXI1N-D%h-
zQi(8hnNb>2SJCRrgr^$P>X4da!PPuofgaMkda}%66`hNGpuu@Z4HSmOB0{o1qPxFh
zk4~AdqGyV4F{(4Gfv3Q?rlGtplrw~0D$H{gZP5Nih>cbS%Y{e>#^VEMxF=r^{^=_E
z$|}jKb4vw&RcXDLFd0D~v`7=vaBHajjR*$j2o<nA{E9|Pc^pl#`90&&xQ4nKRcJBM
zsDQieS)HN3lc>xkTfAfHIx0({_SPj(pjfboRwRE0<@51Ty>xp6y|nx1Iu{=WHd3W)
z!DJ3yC><W8Z`efR)*G_dbICB+@}#|Yavo)P&2XbkY8!QP{Kn~{Mux03AwD;=MU?k=
zb#Ywn4$6OF>~P&(WuP~W<|r#zLceNJWqGdcqQ_=3?`C{Zf<_wS6g#dz=oMXYx3Xp$
z>`%2tYZ$E(a1eEtUM2rUtCFuuhfdRCv@|xeUQ`k+=88INim##r2F}tuczR6v)mT7C
z5)uA(kGe~LUPD85!gA7YF<|1kTsocoict5X?e)*J4OG2J`PG^T6ZSJd;>J_5A{e%d
z1@Omjp`RRw_DQxgV;(~v+AMAn;1^0TI`MD^CD|SMeW9EcBd)!C#Jh?I!bJG-($QVi
zy-<2J4Q0np*=CmbpT@(Hn%-1#A}yB7n(*KWJty|@&^qtdkOJVWILZ%QrNbBsxiZ*+
z8w<OoJ$}Yb0aBh<wH@4`$0mut7QSZjU}^!OMrrf%puaBkO7Au!=4#->Q!T=W$z3=%
zbuV5XI&a)mx@^gewVccsIakk*aRzAQl@sN`7~wn=uf~d5Cb>Ooh!ezI%f;OMM&;mH
zv@4yQ89V0Uc)Bh#SO_aIDhnzvk^^F%=?}A{ec0XEndjf{ieQ#)!>0<P<bY|Y;u<|I
zH>TtEDC_Xp0nD5jx3F+d4nzmOw_7^$V9DXW1L5ux*lgv9ZqY?KAeEmm!gugudBG^_
zVKzxDyY7O+nLBd87gdv8euf{LEDM=SiIT$pW79lwwnq-CXhm;LN(y3+f=-Qn-zS3^
zma3nR*OP}zYg}s<jS$9r<rRBJjVyK|%_GC)i#)V+dnws5ieTf-X~V>Dd93Nt{QCD4
z1!$ezA@8Fcz?L5-E5_O5vGT;K_matbxuPiblwh1V7Jt>SZi1?aoz#9FdZ~#3>J>3v
z6Hz$KR!rh^m_7+(*WK~Hw&&0PF^X)8f04wzj_y8C)K|u=Q=VQ~<5dEEf_VEXNgBIY
znoyLHNyhFPzvl@QCBx0H%J3vp2HTXbp)TE|V0Q0K%mq$TAe@IAO!?$6)e8)_RsB`4
zLV{4GR*MSsZ-m8#-jc`Kv+9JesH<Yb>5QK_&#Hk|N1T5kD;~Qv5f|UsrHWOw&Zk^c
z*MM~TWtslV1dLQ(GN^>8Vf(GW;-3(-;N^XH#lbE`>_wTvny9ZD796WaqX0U9wj;xl
zTqNw;U8f)Wt<|uy<vJA>A3Y$66~!{+l(2U;7G#ZaRm^PlGEd)q17ON>7OdS+!lZN$
z6naUjVl6C0K}BbPLH71{*|(LkB;C(4Y3wT4K`&=-2WLYlxbrgY#t&tzr0i;oZ3!7m
z6y^RWVMGPH+}Nz0eq{{jj`NRXR>JQ3-7Q2JjbPt2zh-xgGIqq#$;s52fIa%dUL2Bb
z1l|{IE1J5LFqQLeldnVNu$#~I0bw-;oog@SPWF<p<j-zn58|b;kY=l&`%R2NMM%0J
z^9~V13YGRX9}~lDRQ(l}Y>nZJ<#MSBpCU%3qv^iSCy05;oXNoJ7{j)fChg2AJl0<G
z=27-MC$>|wLu}tMg3a80<3oG<H%K&`uc6Xot1*?;p9+m21-+W=RxFDt6|Y_Xp0tcE
zJ=7rW*ERyZ^C}<TRY_wsXO$Cw^uI;db6CHrzNNy8-IpA5&61cv>{X@8ttsS*-(g&x
z4i%^rWsao=2~2rn{lOgVDx$3v_mEs^2;5CqTU`zuz>fXPNVD7AL8?c*eYh13p@VSC
zaJx_ldqQV=@W})%7^}~@cNGATS*Og*y#%oRE2D9f)AW!^6J?5%0;pnfv2S<h#au*-
zy;#&3VcnMeYR(LS6P03H2i3W-l=`D_iA#(S$4yFqVs8Max)!wRCD||<PYL-1BPJ+c
z^kV*UULVZw9V0WvGh*!-nID_Yn7~+c@-ihw4;Y1B56n8zV*kQIWLE^4VB4s#-@9HH
zn1)-Ygpn=uMf}qy^=3v`YmDU@Thak<7j5#+o(}t-)6OkB#R#HpIilOjIzU_DzSSu{
zk4l{y|AyOUfSi0^ZNXq|NR)ctcg=4Mr7YPO$7V8sy3-lv2k*2X<z>xsW7}8MOfk|l
z)SLmH?K>8+wO<QHK6tfs<RqerMeeelEDV75l`}U7XaZZOW0C)6E0VoJ=QlM%4_VSV
zQ~z~oK+!nk?F`L9<U)g8!eSRaNEyhS|EH}1flLlrK{gXeDD%--+X;FI#KXt7LUmYW
zw#ogo^ApLJV5I5iV}K;vzT23fI%x3g6_#i&APu4}(LX#G;NM-B3&l6oK)7V6JDPnN
z$?7>cex-*25*539ocDZr>*%$Q9~}N7wn?To*jYwUpYs*@6t4<@#B;_U{kMw5w_a7g
zEy)C`%RyDWY^uQUEcJzU<vKEU^Zco;Js!;R^BIb{qXHM^@@hppHxb3p{hD$#EHHM`
z=5!NI1!ip4)wP$m5!0lebT2$BoVf%OPhL<!YCK|?Rdg2-V%3s47|sU8Qc5zW2PyD{
z!zQ}pF%A4SF?sf2jUAj`3-&#qAOpUw^}YL7S~z=}>xg&GJ}660%HZGQS%S55L=-bU
z5DzetIWBX-$$v(gxdbvyPd+-}XvF}NEjPqdF>dfnlSm+!D#L*jiP6GO8DViC_|BnW
z9&qk`!GD)S87iz|k4)g0A&X|qrBRp<*lE1-C}B$QGbmkbw1NesNU}dmF7gBM$l~hi
zUlK@p|Kdkn*}$HBZ~onk0HoN~iql4sz>nQ0O;ecz79CiMregMk_2WX_d_fYBPo`j;
zGMu1$Z}k48t}x*3Y<VwWL?FMua61vl4JGlWq<B$Lc<#KYs})IvoA>&eJ{a?Ww`%N~
zx1<=Lymp`EtcXyO_`KIEh8J|sO~%YyN<dV9D_6A^5gb<o>1ccSApT7?PeLaS!rk-d
z8}x`EA{qQj$XEa#8;@xV^Gd-gMC{&hAws50@(+%7LD+Gvci1{D4IX`5j?KA5m^_}?
z&k!O6De8O|1KVWa@mGKAYiuOw=_!)#(-VO?mOm#1&Ez0vKuX^7Aqnu>UHJ>R1K>DJ
z#@+9b2TRneb;Cso-sS1p<D|tQ^)CK)nin4CV!j^Eu~P<%`4@qRBo3OS>-pRm6hSti
zE~wg&3}!W4)@cTkU_cb}dX-Ov7{gDN%IjoU<ZiR)@|FVclTCKzdP)$X-Z8({PJtfd
zc!i6Z((w9po3wYcGGwwyIDXypDZ#&zV$XYIz{Ex3InRT=+_wDjOzlrq$jP)x>gSb%
z7usg89_vux(?b2j+eCFZ8JEVfZXpl1#^zsaq7-Q4k6&)PtpV~ryBxw-6reYJo`1ij
z3KW~-GkFBHz~CuO$gx5^yq&s#S@f6+JS}iNIa{d>IuY-zcV7^o3&%(Pd|U;_Z1W!#
zdFX<^ZkNwst|HtFU6Vhw_YV_~--)}4>H~ey1G774iQr2YAu?J@f$QB|>WA75Af|Gz
zTAGdo3IeA`%Qwhy(DSyqoHhV|eaKd@Ckc2PRCS3QWZ0T!^uM?TAS5-?wv<GI%_G}v
z8J#4M@f|%UTw(}wMOT|wFOs0+*PQbMHAN_hox$DJrox%@SaDM!5<Cydo~1da0AJ)f
zJYJPjfyLk0K{1*L!=tei6-Q;EBBbUlZkq~zF~@!UpD4obZxcDLMpE#8rT&{1!3Zv0
zP^jIXLxA{Ww;qNjiG#xL$5IBGd;FOAR$}@L9+JYh4S#+Yg86c$)t|CPz~zys)WfC#
zG{y4cCE0vHxpzi_eUl1``eakz)V+JUa6i5D+dg<#aIB28mI~n|O9~n+vT(G9-reaD
zBfME#JbcTO3fIl4bOx8CK|I3kzg2@BB;R1<)jB;Dj`3{EJ|C5Y?#ZueZ?cyVpQF1D
zrWuByW!<@*V~2xI`lC8bej`ZeudT2lf+6s^Y3_a~76TgDulVkOCx}wyi;n180ME9Z
zbCMrLU>c<`L@9QmSJOE9txNzWcB5*9c!c06ZNR|okE5u|wcUk=LIi{c$te~I0>EKT
zt03k#jnXM83uHDKKxWxMXE=!uGThT|H2s@Jy_$@i9?tA><?W)1j|@DJ{^sRp%h6wG
zS-05RLSB8KD#^5ni*Uk=tRGdrf%7Q-*UbWHBRzPRZL4FG#0Ivx`Z>W2^XN#>{u=Et
zT@ahQx_ROlGZYp&JFb44LoaU{6!+HXK%+>WxP2%C3|clMluFK`!hO6C+qSeJU{|Z6
zc%BxpGp%pGaL=H9`x*5IOtc|0R{CxJiCtuUaS-wOFo{+$ZytYnPYWg==h+?g+(Q1V
zef_1(Z5-vh7-_~crwJ?t`*QdFT0<Ni_->PyMo>-r-JTK?O|aVDnHZh?i`?Xu&1K>q
zLLG<1d^8I+AfzniuB+)XaxWmDHOsXRbt-J5k7m^X`z;&aCb~t$u`nWBdbkVSDGUiV
z3s8rsy4oTssb9#mNO@v2sU2M$@+G+pt3hJXdMc@72Jtwnam7U716ut#zT%#>8u*k8
zhb{k`L`pR$dcV!SMg6Xhb2K-r0$aCClFOrUB#X=5S?5j#+G>=b^}#?D%9nyZujY>;
zImOBtM_M9E7w8lf_F4s&&650^X-1I3#?~*oC-RZI%Vis=t_nDjw#o6wh7i-`Op~7X
zRY*?DKAG@6o!A#)78<Vh9g%qdr?IXSLuP51f^VBrph{>IB9r@(53BDC`VHPAd6Jif
zXFJHi5HpoJV$p{f{0co*`1CWfHs4)(-h~YQ+n#Z3{=LYJP8-Xd*bW4LnQ(yPhcfKE
z8}f#kZ^)59^%kMTE`*G<$LKLCLu$%{knm^Ukbm22?Hq$W$d#VpTgEC%Ac0+Wh5B!Z
zzfSb#y$5}W(<M#Ke|vh-$zaGE&e4k$jq83mb^bfT+i0L+@{kBMJzX;{nZ3v?etcxu
z^#>BA$;Q1lpa@>hzhw@4^&yf?%og4CBZxffd(J;%ieOqH&`^1<ABl4KCD-OYhA=m1
zSc!NMAc*g50B7j{qCVwke@S`*`6nRRYgLJd)s;`R?_>s%gJA-Pa+s!&`RHfWml^SJ
zHF)fs^uQ3ZF>$Q&4EGG8cCSx8!bt(DQ05!1ZNmt9X~s;)bQW=`3+6Jem4~*IK^l!T
zqeyj9Mg3gaFXXSae0{x;JS>Gdx)|t>A)GqqOU)Jw$XM9F_MS*N*vb++em#2}VX_db
zv=CfE);7v7#7@hC@12K{;qsG65BKw=`I2R1U9*3n&R!Ojjw^ed{yv4Qg|v-#p8AUf
zvykL2f0O~uyJ_x%Z)XtR(5x!~=Br4s*L_wLkpag`3Y`;OvxuA0NY8VZb);j6_jlTB
zX&4=LpRJLcN6hCnRQ^8MMEX+Skh%4wVM<oakgse3`D_q8q@cQk)U_TgH*S!EvueS+
zJO)chg{3Ofz|Jn>clg3n$HP*9=H?Dgw=5&WC$kO2uhYU#&3_WH1Cmf>D-t>u^A~BV
zVrIta(F04>(|B4xNk|>hNi+3aMT#2!3R)jv1mDQ`W6G?OaHgSIyCZZR(OZu)4^v_W
z^%Pn{_+uPwYUy&ndB2Gmd{&7X31Nl7$;iHo);Ne-O@dzQ9i)b*@|od3c3}S6OikF4
zfIBoC8o)&ZGD~KshCgt^^XaQ5={^#B+^wYJl1U3Hu}t>ZJU7U?e5s(!ii4xXgW8AI
z^uUjI&(g}_1<?-P_N6Fs$XV{CrKmE3z6RApKbjvlFPPG>5yfHZa`1&>GiKoNaFCq4
zDF~eSP~B52V(=;O^1^&7E9i)x!xFoMfEFLn^LkheCUlqWj)-u;ap@0H0Y^ol?2GuX
zfkm-BE-vYE9_NI80@vv`ImAJt$|12zSsdid6@6(pxj`Y(hUUOE9C(~v+bS;D>xVn7
zUFI<_q+gjncUn#g$X~NW%N!-Zy6TF&Y%D*N3eUK|os)*@%cq+UlW>smJDIwXAPA-Y
zgnN@cvQSG=$jBeS!Q3(RXU=bg;B}#`NWp|W&^Mir`B^UsOlnPhc`~BVWZ=r;El2=#
znD>OmkQC@yU&l_PVsMuIZN&RCM3C@Jt=(@b121AILO3%VOn7=!Omr%NnD7(-NIE%q
z68b0(|4|Y|wiISh7n9*aT-YvETme!Iw+&CZO9RKj9bU(23gn{;hr|jAVAu6hf|pws
zcIw23i*TyoDRTQ@eJ%+MH9yylw97&Alcy<ob2a!Cb*NJFCK+msQoLd^6hOvAzC^)V
z9qz#bU-=Cc;JSEl((?=f^6lo{+*8ni$U@gdmCtIxSGOgUu1EwXhZ_6Ws0RF~#3DV7
zHQ|eqUgPV25^zy7d&1~7!7?V4J!M`S&f`*MJWnaZe*SN!QsWwsWNtY0uSyRL)IWB(
zogf3pOh#V)Q4Qz}e#pd_fB=1qNqhhBUY+il)(vxY=nB6dm>^{cRm@X<+1eC%KsY@?
z{G<vo{9Ua-y{WLuaJG)qodVUGdXDdYP@uKxcxgj|5%g;1U#U1sfx;U@seZc3fL8dm
zXa*RAP20mmA6Y4o)u~l{--rN<PAm?p5+;y6lg*KzM204c@Xt~KSqP;cB!?xLfP_Kp
ziGLN!;9V<!NO4>O0)1M;c3zr*@83)X${q*2sO&dYzzKo~{#J!~feHLYN3V=5D8gXJ
zl?L8RY_LIhcg57*1h}4_WSgnR!*QiccNWW65Lz0Um$j?LAQ0$JaBz|bnV?X$Ai6Hp
z$WyDT+Rqq@#U#l4mt}y@{Zp3MsZG>SM%gO<n-SQy#%j+bNC8K=UFem!jM#xRpTa>^
zBX}d!moY@ZfuMFm@3096Ci*cw?7y2-c=f@2&89^Z&UI<*zn;jA9i!RK_;1b-QizYV
z&qeHqrWcl$=^DJ4Vs@@1!O{>u&z?!{yu=5Sp{XM@HhkEJZNWx|y<GGxtn|Lv9$yWb
zS>@rj`LK?JQxzPF00&l7C64B?Ktf>S*7#9=Y>wS5i`fE!BUv_Iet6S?cb<!3<~e?h
zil{u{*yDQYpB|;hH#U&%2$wG!&iq)XgQuPH9@iVOe~k(F^c(pf0096043>8|)qfPn
z?Y;M2*LE-WUVGlpMcEleR!U?wWUu-mMMOzcl!}ldI}+bx7pYWMNLCcdN+kUJd!F+=
zpL3qidB0!p!=KAhqmBTGFqDXBUN=JIvElVX!6C{Mxoh%+3<4l0oByrzl_6S8bbJw?
z*o0Xf;2ZPq<%jAj>A+%ELsVJ1su~+LfwlUOt-t5<!(dx^_7i6V<mE`tJ(}|i!>S5e
z6wdKOyU%)h&l7z#=Uw}trsg-ss;@_KKg|zEqu-t*v+E<5J?bi@Y@3*$4Aax15Pq1Q
zs*h9*(?d>`0uhcAJJ<n^*Lxf<@<Y@BN2}PRE>a2iDm$l42g&Bif0k?bK_JIz`k}in
z5=&(a9MfU|f+;bhbdw(*{J72=GNgkh9xV^jNHf8iktBO7cLDI&yYtWKunv-CN1iJS
z%pj3)^P9s50qFf9DylKBjd~RA4hcSG1@?8@X9~W8KscS^Mwg(CxTy9ivWM7V{B(T+
z7mpAGgzKbz5z|IfDz{w?SU917Dy4|pF9clS6&l}PYM};olJHt37uZ~gD*aI_47Zsk
zCf)tCP<@c6x;BXizH|(`;wweK(^*3@URVnyJaDth;pBynKIv-GuS9{_eaO1{y(W5?
z7!cU8$P1ntY^iV7#en9&I`tD-ny4os)-`v84^o1LGZoDxfKJBR4Sz@zEzY|^?+1SP
zEmvRg@3AE8-MCtOnWTxrqRR$;d=h}YAE-(5D$<bd<5NK8(L@H{L<0<_1VOH#alXh~
z21--jrLp`aqvMlC+h1sff#)zu^qPSzsCVA$d-02m!s1Q}H>ryNL4*GOmXsXGX3(vf
zE|U@KScKx)<DyWC<LCfLK)1i0;>1DArL?siI!#pE+vyZtCk71uT9!W<<w5G%@S`4C
zO=P{8@~u`-0&2C4vK<)}K)5jA>o*5YB(!xncJ!Pi+_Pehd(Wx}w_4OverIYT&K_<-
zsU0c!dm=A9herue@J{*WgeHnEj(5IhE(2&iD9%Di8Rjd7%f~IW5Uz00HHBLi*!xF<
zn}t*WU+nzE7qrlc^MoL|F<Bs|ug+L<s)AmXLpiOTHX1D-lEy0JfKL1%K73Ubntj3^
zkN(s~vT@e62QJ{i?i>CV>QICICNCCB9_pad%D}^62jxMR?ZR2|89b!5NdCzP(nYs?
zB|exdC_tAejYSGK0a}F)xzU^Jq3jy(b6Il=aAdqiDK3TpJbycRyYTwR4VFHAC{zSJ
zNLhbSMF91O9QXTV4Un+MxBVvjm4NBo!8!Xn0`Qld7_yNzM0|xcZa?RhU_>J}lRb$5
z<2#pFvSf@<)YsP^wt|)6SSo?C!$W}e*UZ0<%NV2ILg+Czs0^`Din@oq@!;q8^&Uag
z1bzB%)N&f90{oUMX~hw0@T^U6V~c@;=1Pros`shD;E9u;`y5rF>(D2D#V-`(SN2?5
z>!1n<1*e`d_@@lGlwz#X9w80+h|BgyDiC|*X5HSiN+2Pv8Y=q`q0%b-g<o6BK%e?l
zg?mf^R_dFc7fm5Fnrf)Za90^V@8cgS$IHV=(ye$^Au0;!*PM(NSBBw_Zz3Or$bqEN
z%Ox!xDw<_EA}@1B31-_P;&$p}fGbq?#Hu+JNsv#)TxwB-tfLl*bD~mEtaNHY$&89(
z4K%GsmK7i?jn4AiycjeeTK>jJrlLLCcjd3}Du4vD=i!z=!r*}Su#(`XA||?9Pxj*E
z!7t|~X>N}oTs(;}Y0M&I-@9#p2akhi2~D)AqkPcqwRTpd3L)+!kM%i{9K5`dd$OgO
z2Q<yIFO)^>_P_jeaj&i{h^*LR1=E}`V9t2Cl!VZ`q8+ZiNCs;68K!HFvcUpLF7rSy
z1&KN=l<?h`0_W1^J*SScK&gjr51$?daR(>9KlnicTnjb|@yD4!IpiPbMz#s6FWqBy
zSzH_x&DG4u<`_UdfGWbYVT`&}DE3SLiNXO6t?8qK^l)eXyYH}zF`61zN*~%51}1xp
zbA|Hs(5{h`+F5OcdTE{n_vZ?MkX{(GVmloiN%4^Wz;A@^{66g5<t7O8(P<+l&*;Fg
zCwRCs+z{cvItViFa$+GW>4NVN9jq=*Z|oT~K*2VhSRjcX{Pi=I3=QewwnhD!HWLFx
zdph?*xD6i|@LqYC-$M`bPSOl{#rmk0;V9WJi5IHFj&PKvF+js)pPqz}J}PQgo!vLc
z1Gt->xmhO}f#;m!*RT{lG-vmaLC%T?^goZy-411f+)tY=AOGp18spltX^*+#jiOH{
z%`IkV4f=B1CsG&9he_KTta8Bv|63cggDjwNH%!@bRR>*7c$}twnhU&mm5DmKY*3=!
z-~A|32MMkBiTjFk0ktjbQ)~r0n3cCDKHSnqE*hpgjH{gBR#D^h)q)d<_fpFIQ?*g&
zy$GGibxz1Xowdok$pv>W89v7C`oHx4ugm+DxZvuV%}W749$?FA!LyfZp-;w_4#&rH
zf$%N7%|0()_;&A5le>);;<!3-Se%9%5}gYeg#7v7zrk){*Lh7eqU)EEQOph3jYC}n
z6ZxS?X6WAjYntfMpt-S$5f3!%DfM<Q6M#lLZ1FMDL^O=?LEoP9fY90_QRZKQ&~QTc
zeETXHWxl?%Z=c2Pd(HE0SIl?sJj>Qwrkso{-DPs`{osY+E)G0Lxd>bxyZL=j7#Xqg
z$bJ!g$OrWn!HV%@G1&4GE&OCcM&|zhHT0+W;V%F9O6MDK@ZL~hP2eXZx1$^Mt@{Mv
zvKBU!87~P4t+DbglaP{a)Ig=VAc&Z&L>kyggK=F+_=#Z>Qg0LcOmGkaGs|1|$8X7i
z`JtMI)b}J*s%god5F!k%i&j3)H)Y|Niahh#4<xjvfjj%TSOm6HlH~*L%Yh@-uNpEz
zLgQu!`pwrw;jYWl5ycuD6jl5aDx@VNVrKV|bT@I38eFxJ|0oZul|_^jBr=+=Qc5E3
z>WDP*jK+Um0g43Nd?a`GjgHAKv^^{ZGkWavwsJ~9_b`-|?-dz2X_8yxcch{GZ`+qh
zJ7qAIe!z8Ymzy_f61V~fWkANtW}+%W1?V#N7j=|tqVrZZ0(Nz>(3~Ptv3x@nv?Z28
zZtvAXHo+R~6?f%;w{0xJs8|g$H2bgQu4p0A^$fm%WE?z5Hco7Ow95-gSBHh?+UP#V
zn0Z&QJm}PX9U4m}z{l*gF7|6WNO;&^qufOSjth-;oi$U3hqaWR@+4j4GN{@buB!<D
znjF*AKdOV1QCvgyu3ju(%C_xrDuJ4@sm(Kj23#-5=3UIuN3ZM)&VTMx0`cRs9)30&
z;649WLF47Fel_#t9nzFRe}?bwhJpqpInhn&P8y=re+?J26;)t{-jgz4rw(O@*L`N#
zj8XrO`ycoVRp5<>R5h7S9Ug7iO9bIfkh6tH*nbSF5a?bXR!m0#yDKbzGY|#Ih4dO5
znW)0&PBrfRO=@s;OQ%#o2BAY0MoCv4RH3cx=09&ERmj-4w_$G<LiAp0d4u|@Fxg<(
zGLftdMm>&In=1%e-ea#R+)#n5|MefkmngzPp408?rc^XN`KoU?Qw5S7Rq1)F<$;cl
z-~7#4D)MZzkk6%60gW5{W($>auqggBZ8V>XL@zG~lkJtEqnan@MYRmbg++V`sG%Z(
z!tV63U2gqJl4o*DmxNoBC$<8rsK_mdcPb}K5nORk$O==UpkCsSh2~L_Ea$tQy;%xy
z?%08s9}|Tj-H=>-F^-B(%{qFBoR^0$;&XigyE!&8+dFsOii%zdpBz{^j)M}1o@o9T
zJYcAPfaNy_6=giXU31f34s;|VTJ0J+z{QcO_q_w5`$<oPyESFOtN!xnotG@2`-!FZ
zTMR;7ubv-hk&uB10hjAfgBW3gdZG5c5<&(gS+r6TQs8E7@R#K!9ZV^+{75gLAV(M1
z--f&S>Y!gx(4B`g@Ivst=$_vuD9{RD7p@`(GELUL-zB%PULUjAO*0czta_Y==qUoL
zF2jmd6Ps9+&*nx@mNBv)mYr^UCIq8V_oy4;f3bv}+Xl1aMu@#Guq9VP5N<13wusbi
zU^9KzZ$dSVke=ZK0oNve81I@m&!4q{RZs+9wWk;&`KyG@<rqHDQ8R#Fa~oJfd-Hq0
zF#}Z2ak6dZATP|G*7<L^;xG30ycTVhfdNunYKh%<kO#;{G+Xi?H?d#bq{rX0_0dYu
z%eJMTT+l{xWEV2s!VF(_uV`)Qp-^=WAHn0C@ZhyYbmPi4b}l2os@zu(aXzXOlfZGn
z*1}laKrju&MqbVfey@vO$w%(6@Uw%Ut#ij%JS_+owA;obT@<~P68L?W69O(n&f`UN
zpfpjZK3A=Sb|P?fKQ6Pv4OQ8|N8jk-)Iau-CV~z!$Fjwb3$nuR)vepl4H=>K>z=pF
zPqdNEn;9I_YZfRk+q!2{#02I_)1CczZS>V%r|oVL3%HbZDk`e7z`{%wJ+(>;g)<ig
z9eKtAQKk9m7u#9kX?&HXw}}?2B6dB0^MwWedr)E~9mftMS0?_rzSTtDelKjQv{<1l
zaUfyYmJ?=XUF98pG!f5;7^`kMD=b8mR=65-gT_E=OWYP2X@1WVdE>wapF#+t5k)-k
z&g$v9z+E!hv=N=q7Gj6!@cs`5Exh3E!FJo%l#H}5pOiRH!vWJgfzq*yd>|sl(2o5i
zp}ZCQZ7v>8I8BesZPFBg0plCJX?Y}6$SHU+bPpHA8C~hg$q<Bl?w@Q7T}g;0v#I0a
z18z7I^|7pAM+iPf_n5egkWfu%{mF_f9{7>{_OSOQ5eV+;&rAMFL{d9$#xjAtaPyqZ
ze$!nZiOi&rL{$)x;FCX1EeH6Z_qn@u=5KMZTlR~fNhhM&QkL^BF8pA*HSFoyFA4h=
z?_A&sA)?^5{NCJC0^ooDsNViQY4CFpV5{>cq7w$B4-WSP;mIbCkI#k-NH2FhQa(&X
z7S=uI#lHywYe!WLQCJR+y<<zQ4I-kxApfoNdqsfsc3w8c3<q%=+4O@Kh-hwxDP;l^
zg+up!X}!<NLvnJV0<MyX?w>wsN_7&4({YM!GOY?w&pJ_RxkN-$BhxFkTN1EoEAs3V
zpAy`2Y4>2?LqZ=%A|}Wn1x}7l8)5;w{#0pqm;8)`oDZd(0b3bpcDzye2UCG?^eaAU
zmupFTNwW!NvT)0i>ve;G8jSSCj|BCQQ6fGwvfES+xO-CG%^k)==&|MX{pWY@p=_fh
z)e;BC-Zv(^%O*g-`n*5$K`q4jVEGe=lRPLXwpgF3SBI<&(n#$dZG=9H)6jY<Kz8t%
zy3J}0D0>`D|I%Iu&5u|_`yEvT{g=0gx)2dESVql{hUp?H#+^Uck0?P?CPiN^jR<#G
zlWl8C^$>)dEVpq~h8I<@IaDi%ph_6G^8BlheBB?dyjNENq7U=1z;3-{qFnycenT|J
zq^gfwQ2}>hY7Ad85o||CHu)-zP=$W(QN!D+U~`F`(n=sgig$-yHm3<PozpKmB%%h<
zqYf;__8P!<+PQn(lY&~U?Vp96QiFYM9dVIA2oU(zN!r&2A@d}s=l(a<Ah=-uOrI7W
zoX+s_Z4V+u9E)y@%us`YOT;tU2CCp-&Z=X%pNec7J_ZFlsqN-bL;4L?Wq6vM3B1p#
zhyka&`Dt1eq9)efFV`r5NQ~T?Hk~OdnXB*kYNZOVB95nUI^v*IaG<C`(-b{wY<=K;
zP6djdj5Lq`l!5aczr*`%Op(h!BmT43l|f?h(E5OZBwSjvjB4AhuheU}xF;(C^^BIc
z;D`t;DGSWxYnvi>;_&HaFGaBIGSRE=69A4lQwJpuQ`DJrinCr`0S5GK16Xu<L8<ZP
zL+1}vRJSs66hDT8`}WgW{Jb0x`seN+t4mbmTEw)JcU=z7rmp5)$!3Ds%Pev<22|88
zG1|LsEel-(nlZ2G=peP=?wrOrLS<KC(hoArfRWo7ZIi@**jT5NsBRKMkEoe?Y`K!a
zoltJ^DrpUSnAq;bBZttFcXs_>%*7!$Ely%>Y6<Jmu-z*9kAg1x_TKd25``O5FJ_EZ
z=dn+;X5I01CWu&H@XqF+5bTu12j3&jVl}pJLN2TrBd1c6$rT<!c%5v#--|Sj$-Tbd
z$wx9q!}BXmS$6!Ox#mxQ^6@10Gi*{!DAWj9jyHRrsN{v!q=oNI2Pd&CrBPe;=Z0v_
zqtKm>!UO3~0^P>wrm*Ak&2|kmhUmq?oP@-wT_1BpF^e(N*v>B{w6t%RM~#z>HaFN|
zY(Yof>iP^8D(G}$`hh-rKSlTSbvi3(-HH6yPyB%i`*@zp-q1q{R;8yHJDI_2`z66!
z`zN-lUvhxfMGpxu=Sh!JnBcF$an7%M7cm|h-5$2*y6Dq!t4k^?44~pC(tk;C8Cxn;
zHoY&Qi{#U;JsugM2V=JOgv+$6m=}#s*^^`)M0;{zS!9C_YRsz-)H1JO-wio^M1E_d
zo-4IaP0i_mEnR9oMsXd(4fc{g`D-Ia4I_Py23iPp#<4#?^cU0a%EiC`qJ<c4MY{jz
zP79tJxQnr6|F8f)7gbt!E%b1G18qsuLRw;o=LfMJO!Mn8wIf5CDEpd}v<)jQ99=wL
z|M3G2OnyCC^TSgUz3uD!a#4U5ESP#8*{je2X$Ys2Keg*W$FH5$MzpYQ881M0jUGm<
za4}a;lhJRMs2KbuTF~Npbjpp75rPSg`mHo%)TY`|kiSX`m-n2^Wh!BUUU$hs+Z!Zg
z7Tb1T`3xPryNKgm_uS>@b2B|_brP!A7*M|_OAl9Qju2eb*}#pKyLYUch?r+hBK4=~
zf#b-<hy+;<`2M3|$?y~rc`QoX#dk75H>SwXZomcK7;c;279=9}wxsja*Nkw{GLrF&
zF%NXL$>5{TYap6;UzBp^m_Sfp7&D9Dh3(J0@BYlHBjc-Gnadh1;Berd=$`i7{8Cd;
zlIW(6M2eiH=5Mh=znn}n4N(BfEGwUK3=mMEcdN~51$OW**nqs}f*@V_wi-K1Km#8c
z-#qxt0ng}Xr0u+fA>2#o>Ypt<qDvpq8m#An8zrr3s*0j8$$hG7UkM&<L(hlqqdXuu
zHh0N{R~)pK3CWKF@o0-OJZPH03j%Kbn@43OAxJ!ipk{(cj8RetOKbVSp~K^-f~z#_
zk@Y|1r;0~U>m*eDnFZjZP5&vUVHtSaZd`9n!Xt|V2F6&JAk6#>6R4DugD!>S@7vCJ
z^jfgdcxG3RZLK}QERi^9a8fhy$;G4C#O>iP`6BQ%|AtiFS9yqfA0m;-vb)!KN|#%p
z7|1=kPGvo`o6qkjyYuD|5O2t@>O4CM5Mvt3TA5XX+QmubE?;$YrL!#an1d8FmaR7~
zB&a~H3wO?tmj*h<r%B_WCj-+vV?sJIYS1iEp{Hv_MAu!<rz^S0!aSep<w(GTMYZ~x
zDIEzNed~HuE@5}>y^H+0ZtCzLXQKPn2nnUD(x|Lf;lQ_O$h&M@1KiH5<|KS3BSX>O
z*x3bnV4}^q>RU*Jf|K7YUH@q!zQNHKRceaBldrvbZ!ZZ9>>8g*nQEgBjWA+{pAuZ>
zi(LEjngm($gkMS}I_R%JoC!^~GNi<>QR9@!V0l^j!YWY@UB%7n^1W06etvp!OLsE7
zW0K(d{$3x+Mm|%deWeNk;}Jk~CBuMFsD|=6!(AOQR-{#{!Sh$2T_YvPU?Y1l>VbhV
zvUzgE*f9nValg5eGxAB0zxqh%*n$ZP&dmz;;3B~E;q30W^F%n4WxOM6iO@h@x^KY=
z0z@+w7LWhdfIY{jr9D`ws4eVqPU&R=+<E+C$gP+FZa%)D(bZHm^}}v>=QIHbzfxD1
z>DA!O1nUzzb5kTMmcW0Jj{tMMa(q=X%HW=_$GcFq%N^ZF{^oEz$eWLwm5D0AV2|C*
zFIqFSnsGDmVU8Lk7v5idz$OPO-FCir31;Yp1D}mchAQMvDqhkOmjd$bjZFtVGnB(x
zk<jd@0%v#3TQ@^QK(ul+;ETK&s#WIfURY9sJahiWvqt=I`^?Nk#XqJ<^~TV{kSIk6
zx@T%FtH24V?nV*!cjqZ2#@zofCl9xfIo&ZjM)>wJH+R;{6nQTkGv{~3LGH#CoVdn6
z?5u0lC%>&-Uia-=aA=bSpXf^K*UuNRveDN4T-T_`vE_<Ts;&&Y4;(Y(8y>|H+ut!6
z;Hbz%j;3|}lqAT^{M{OTmWHv8geKoFM<~eJq{QW_7|6ygWHPDsQEok#d*)`0kc93=
z>YEW^@ENnU@VP!gaW>@}_;Q1Sns5bDpPU6j*T-7vEcYy>?U)*xtu{g2d9jKtJABX>
zBHmFLH%GCUILxL!WQ=k}_D_Ti@xUE>Le4bxCuP6hN4MMb#;D<hZS0fRobW!8@hWfA
zPs+|ks!Obv5qi|w*zlXe2K*nE^$JaXQlxp_o?Aa|h}zd!4)yagL*O0NCO5`;O0c4Y
z(9UB6v^Tda#MyuWLIXU6R4ji`I_nj;Jr?xQji(oE-&D~8&(CP(Jn}4M;n8-+8$EsW
zyKX|pXK@=l$so<HF*8l!CD_d{rRt%qd9|V^beoum!&XsB!Xzc8$5#fv=py<z+tvzM
ze=vze6W?CGaSC^SEJL}zF51vact4!AihYausgvV2N^veaC3h`b2OXiu*ZXZOVSKU{
zOphxDDP@NPYt^=Qb*FeXP9*Xd*8i`7eAMt0MLI!wfV#^y@msl>WjS*go^``Jbn6{O
zLOPzD|49qoenNHF>o|+GH{I<F-tMHdI|gLP?bSlvv>nAJ$<rA8r8QuU1<K7+XH;)B
zXrhsicLMIHO=1TuNvos%m6VQQ3_qf!iKv$?#8x!NvGvzI)_x8*DI-&*^zSRk=*}dm
zxLa`yEBR#xs!wt-jhC7;`^jX)QVd4x|BYZgbdR4%LM2w4YUyWFOG2V?s-_BFpRoh|
z0n3kBny?+*0hU~25_<Wn=)>9SL5%ax(+55wZ5R)OIt}3!5oKERWCVo|U<c?6CkJa^
zV`l>1E_`z)qOG>A9j~l@Ox|)zFJtO07TPB7@86?=2Cg3Ke9X{~iOy7n>ob19*jyPh
z|E;Pc#zqmcWosW6C_xZ6&;5iAswP+;lT$}y%`bZzJNvNJX5D=!C<B;Dg{)7UGXZ&o
zg%cJz`Z2u0U$OSJA*|RtK2Yp39yJ7R(KBD^$CyS>g~WD^U?Itq1=4TS(CXgqYYsL8
z*yC>g%C9YB*n{zF{6XAm$aOi~M->fXmy0!9&BDjAz*)}l&j(e}-xUjyg%d-VuHea5
zCAmp#q)fnd|05L?OdfTd=>3ezNggFM|C+)w-z-t<|0pA)@8ez?r$?|NAG)h+<KHmB
zwVpT2`;?J<#C-mM)fY@r>3Z7s)+{!=kug47qJ-A2D!m#ae#N5QBZ<LQa~MuZ^KUY{
z68dH^l2CVO9BZyFE!o%g6T1`O9ocYN5oJ!l-0mu!z^W2fld{Yfv9})r7@|KbAphkA
zmsZ>qb~Eu-bxP|JW=P<`Raz<_^%`2M&X#G6{$Y^AkAM}d&DX5ir$HW_bE=DsygY-+
zbQx7_>HfwXqeJP^$?}M?z>u(<_8seBVBrbT{(~)CW7Z&+;n3Fe`rdCZ=ddQaGtMXc
zHZYI(hQprfI5fREK7UhX0b{Bpf4uvC6Dz(lWUo{uhv>~tEQB3j#2k|kO<BfnW5>sm
z%$^y^p?Pm6k-F(6>|?H9wQ3CwRNfI@lj)X4wI1~!%~DpdAEIMh8VBfrN{wuN?j?(y
zybm15ANY-tyn_xNlVSh{i_;d(e`JvGo&klw4u7y=A@s*jgb9l7myjOZltDK|h0`j}
zZD1`dJBj8NEFhR~v(RTKgTzca@RJLh*evT%<;8L~@X?*P`|q7J;yOFt`!r`8vj~&v
zqquW|<*PeApev2sE3Nm=bkcz5g;2@=6nG%-#a8iTxfBW(-$!%}q=S!9l5KNsyiiMj
zB&yX|3W-|Xb=A>ffMBxsUEM4EaIgN#Nvm;5#MCy5&5@bl9Ak;h$%}%p7<fvADNho;
z_-~e->dOMJTAq1yRSU!4I?i#YI7!ssX!_9e9UDx~pIs~y5rf52cKMjyx=oB~Q)3J#
zWNrUflvpPL-l;s2V~-?}tIp}^+gd!pn$K&SdRrRK^SzBTpp!!K&e+)3US7cW^SHQs
z$-*76_gH7P6vCeRTXfyx2j+&YeTo7&i0I97I3FdAjtnlxc&7?NeaE-0w%vTe@SD9^
z^MDK*7s;bde=H2Le^$KDFDSxWLLgU{q%6Am{cGaLUs1U1mh$u>p9<tlisOxBcmLPx
zxyr$K3D|49Gv(^42B*D>9{UC0P`?+qFHTPyZ2xYrJ2nu&X39K<xGj$)0s|(l@yUW#
zdE5|<7!fX5{-Uv1P(*#?PAQ9ra-h@cMyc~40a@Y4yF7ChB&L5ULc~fQzHF<%(8?jh
z{{R30|Nj)1cQ}>*AI9yy9eeL%bB?{9`xxI6MTJr-8D+Ff3W-XQl@du&lp-OKBsmev
zh(w8u%tW?SMnAv5p6h!5@qC`obG@(ob-!|x?2yl+g<OUoKTb2N(tmkLsT_JwrT;u$
ztfS?ui_7ajDseZd(JK!wu~&aLplfk$9eQ_JA3Nl<W7egs)2~jSX=Lj*q`M?xJ4+!I
ziG`uP>-THYpGf+QGbS6+C$|_D#|j!Dp}h1)v642O<>IW9H={AVzvk*~!#oohNNCje
zyw;)rY*fkFA!tmeS0sI43^d1*aFbDixE}ra_Qw{LB}Vj*e0%HO5LSrlvp96LNRM70
z=hJ@vn;~7%H2?d~OTZ;xWm1EjKE0IZ@qPX426SQ1b21`5G?Y1a_H5XrPd}F3bR_;0
zg+99VWAH;k8)$b3Uvl@?r-#m^P(+^T(KkLh`fozi7IZDe=0P)kI#Yx5v)gG}blt%?
z>4tB%kd7ACZ2PE3Z#uJ!lk2z|y>&y*p4>n?1RPACmoe6(9~hq`W=s|7A&t2`8c*#I
zK_gFbbm-8h6_zLCwn@^twv*S-SJ>fLxp&a}aV>hU<>Jo#Ujp=N3R7Jr@pkz6NVt0b
zjRyT*dZCpVm63jAJmh9R#SX4o+h<#klj$yp*DLZ~`BWv@NAD7UW(%`o22W{jReIWr
zp0KL<Ea6H@#}`FgG|72qzD-x6FOXVJbQdu}w&1D!nR7M>-reyB1`2fddu72#rMa-t
z!NaTOt2M~vEhkm!GW6H$4Sx;f@B`J)szQyeQ6pHd{n<%^{;*S$qvyRKstz1D|0sn9
zqZrA^WF--LpQ>TTdsSgP)*UkbybSo8|1>JK7Nqylo@f-T3WIvb^XK+J;C4m#S+Bj^
z^!+Az!}&oZ#Qe8cX<sdYBL_ZMb$7GS)6)dSx8(eP&hn(7)(Tw>&T#|ZR;tR%S$AGt
zn`gRXSLG*5tp7V~Tt=CzvdMRRYY<IB^u-}r-$e`XzKY*EuRT~*Th-UN)13tWG;+*V
zRSQH6hV76OD6G=`K3O8FLIT5^LRTX%b37_M7|_kwO{{cPWKPTp<5buU!M0p81n9jG
zxVU|sxMGzi;@%{Tecle6_?At<6&)VJGdM?_%m0vU{8SiLmjYY<ZZn02$!}s^*dK!C
zoHHYnFO0->F3znlO>k>&XOUaNDv=-hd?=?}7;z#gm6Pfw2%}3cs;4sITJus~L60zs
ztkTF`8OF#Z8#^qPF+<BXq2#;-37-;5HW*78qdMN~R8cW2{A{=^c@L4W)1gG_ZH5t^
zhV{vnC$i(ov&g`)ZW1&c?Cbs1jd0zr|HNxIPSooOxnA%Vfo#@@DsP1$WW<cmweWGH
zr9pa`%qj}roBx_#Z8b!2DC>p|uXwO}cfTg@Yf*3)T4kos8Q{30at>=C9~{anI=82a
zVN(m|eEUrU#5qT@s__cIvo$?lJz5;^f6FKq+8baoJ-p)dcLDtT_)7cgH3^8DMIMY~
zFu*%fSZMA$K?FAkY)&ng#A2MO*|RDt3{M2f6&4F&(Zq8j`L7ge8z}*em#DCqm_6!z
zUl=bRFa037${_2;r}{1KRJ2ul?^nnsA*=Ry^}lzru=h=HpEaOD=lYfE^N&SP)UI+x
zRZAYRt6s-_q^O9XcrV<m6@{+U9=%Kd<UzAy-WtqH#qk%;LLn1k=#;MMInk?tE4mfz
zJUmpKf7|?^Tu}n;-DaEq)hj~o_v4);aVoCFY5INilf=2|#KVIxln`&yyf2YLMaDym
z#Nk&`IFWj{Iiyq>Hd;J>7d)tlI#a+`q%4E-QbpIiQWX?2Mx9zpp~9fCCqF7p7Ig;Q
z+de#31(`!3Z*G8!w{qU)GJNvzxH>EKqCyQtXM?odXa@Kh?Rq}8Lmt$dNhR?w$f(;$
z*BU7{Kt@gU(cZfXkh%11cXN?C6gPHl(>5`L_JxZ*iANRDHt#0rlBR*u=~V;Y4~E#U
zrR!5}t%OmX4r}j2nxML|GVcyILg7rrbpc^z1gEvmSE_5_Rw%alSQ$fipyl95pE91E
zOM2e^MhhNU)I(|lCh&<bozcuu!TaEM`&dl1QD`gBnKfeqO5<1aGhV8=yZ%t}=vi%?
zpky@j^_wC|gI~ZvPz|Dge(rjHO&jU|raHSmo55c?JpNpP8VYiv#48VL<CN+L?`Q4i
zxLZ}$d)<f(g~JS{Wdhm=9s9eK`@sT%$9J?=-6un@cHPMOAT8{UoK3ZUXNlAnJB9nd
z$uLnUVzJH8gnHG@iRMx(<P`*MKB%RR%NGAyIubPSi8^I;FNwfNXyEXal{%b~8b4le
zRL9r*F}Gf70<HHCmUro>W6YRlu-vPLt5@SlZjpe^ilcS&5*Y#iI)rkZRMBsYn!0+x
z{Op|zzBy#jUv<jM<|@OpYvYD@D}a55C!3`n8CBX>uEhRQ#9h8C>z*sp;3DMH+>x$^
z+h4hq7pxT!)vS9p!H9;pwRsy)PpIN%--a8u`f^Y_tkl$HO2fd*kGVXms+fCi5lCT_
zMsmfcM-R1WShsmHwbxMvMm4q0(JT_+IC1xaw=fMN?}j3d`zpi5c%RjU|3op<KCn_c
z0c`Gx5pp@91RlS2@9FP_Q8ky88BhWEO&-ktc195%88h<-?h3+lTRxxj+I`(EcRiw9
zR6vaUhUWoi`H@h}UZ)5kj4Lwm_Z4|$MvW(>IP)M(sz>1OECG`WhLUb;If$*}yZEz^
z6FEL@O=-Ib%nHv^Gfv3h*!z^$4aw|i@%C5GthPc1DdbX7g%kv(w_g1`%Zhs)q(uc~
zD|B{-tXz|lMAqQ1?vW}Mlzddr{CeIJ+In~145f(U+?<tP&J;7+a%Bw+2Q5%5GT?qx
zR}2#09n$WdWX7>uv`g!4EMPkGL)CRe1X^D{=ICx<hJlbt_rg7MG+1gnl3tSFYCl|b
z&663~r+=IL;4nw==N#U$B4Kb$pJBFo!VI=uWled9&G1b?tZ}eL2s1vTIgJJ^cyzma
z>Gl^>JU;8v{A*qibpk9U9K$Toj~kZ~UT2CQm&zi=Yy`2V#FlgTB`eA<w0~Ov+yuG1
z6Mk=aEPznUSy8X&Y&g6>X7@2|6R-x>J~&Siz%$*EJ7MkYFrdWVs>m^h;=dV%UD^C_
z+`Q{LiJudvh34WMm5oulD)%>3m>;z92dCQiapB--+pI&55&FG?gngd!A#39~Z;5Vh
z{0P~S_)W_QvL4+@R*`%Nc$%s4HINtnfsX%-pBv&C+qBpIP(Hkx6<bJ`;0FhN-LCNU
zhLGTsG(K^M56=&nDc?UP0FP*1`dE(vl8ZE#Os4oS+wxOa+HY-7Bv^Bwoie~fMmx=h
zef;?NdBZEFLqf<bV?3%MVSv}BV_8<r0vJzQ?)@)H7=GV1UL~*PJdf_WcXRs$@OSmp
z>4^dozSsZa+<btFWyXPmgS`SsJ)yaWWkLkc7vjv`%28p-v-0JMzaS(fnjU0Xiosfz
z&*@kf1<4{q8~QkeKzZl<^W!~nln=B?bl#$1{e_D)8ZU(~8$zDFq9}>{m%CS!_fwG7
zCZXJQUKm$Y7b!($Qi#|unYG=Vf-8ZnFRVOC=y)X8+wLQS%D{6czl&2)@T%UWV6zDH
zxJ`3+Xvo1J;`?uTMhfy$874xui=xhn%qVwZjU!y2PyU+MhoZJ&`u7uJ$dtV*%5YWz
z(K35PgBJAhBQ~-`;ej}Qjh9B)L@C0|ORJ@dnSzDSB9F;a60n@vEVq1J2|8s@CwLVo
zc>FHDu-;J$g<B5qdt0as1Ko&QIh!c(>kukAQzZ=s@nrv(ttwcQo?HA9Pl3m!Y<d6x
zWU*4{uHo=Y72obW{qd`hg1T2i>U#ZhNZ1r{QBQ`9#n=EB%m1jb8?`MzUc1JZYb<Ye
z(bQ47!>Ob3H5E4;J!hBJI1)rZeqwx=2F^rX8;ss+fD;jhmzgdo!la8`lXOrM0VH)f
z_GJT<%Xz2-`YWM%Q-GF*pB9b;Yx(%D^$O`Yb^k0UWpG^7xyQ9$8&^Ju_G=~?LHD!U
z{xqrzETvvF-eA$ed2jbXa+on(77uFH3#wv3jPdM?>pF1iCx>nfF<IkO;Wo;MDtz2W
zpYNU1L7L}vtsBv%C^&R6;X=L|468K_r9^cxr|~R<DccOpJN>?rJ;^AjjFiY&)Is2%
zYU$`V=GeV)$v0@3411xzbKci<;5e7mLX29#QK{3RFH9ZWssX%4quMZ7cu;kP#R~b#
zkTvR2M|75`YR;S%9PMlB!$k;)RJ=$ZkkG(t3`>;L8Yoia%GoY*0{sM`proe(CZ4>M
zzIAI)!@c@jLjfK4pXUi#4csih&D5SrhT~Mf<Axp}(&2<d!Js;1Rc(LHwy1)3tWI5X
zEzhU5)#Fqn)e&6UG8HqdjPT7elPCOXs6Vv5Iem?5vA6oYFHb7MrmE{!a1sqx86;`t
zjb!BQ+asCzTOM}g$g^AS)6mJ`D%W^U4GQLmRSM;0@t^2IdH>qHhsi;ITZSrlNi$2U
z5t1nD>>f%@rs0~@)^}|8RgmEQywy`l4BBqS<lV<<s2l!P;do0K?(@3)tVtw9mHEHe
zWlMw2zDrU`F-q|2X&T<SQxE|>pZ|7o(%^fuUv6owZ>W?<m+SxLg$ZqbL7)!kbGrZf
zza0u_S<vo0J;4bp%H4yaYyYRo`U%g2|KxH0gzfH)@oW(E9vW-Z0CEaM&iMz)LPxab
zq;4xS+WE-l_Z}12o%QHh%Q0yXy@9^H4;XQ`%zi5$BZ2kwAR&XxlGx2$U7o_qfXQ0p
zIl(Pf=%yVhma7s+`+3c?)RGlq*L3k*P?jZlm>%-+lEhGPaNmJ(t!3imwgvn2ISXuV
zQ|FJlEP~OWo&4(VOGLf$`IGVgSwQ`3#$`7p5{OHO>?v|fgs6n?9idz12qF2jC-n+}
zC-3_gb-yJd?vuF7i+MA=DczpmRv`$Et}Rm*^2<aj^L~#X&Sqfe*%$2aLI7?bHi+Ca
zS|P0YZeJQJGQ~L-E;KyhN6w62Y}D;lLaDaY?>os9eqUccEzsgaLbZ$dfHDK-)mqna
zoH2p!_dl^A13WNmsi@y8!HBaDE?x8-Gln%u%64NbH`rX59|)^6!RY3u*GxN%@xm?s
zs>2)?K0D@8-)&~btW)mX%6lVhH_k3EUC)K2RP$Jat1R#qE9~)HZ-iUTKYM>SbK+NF
z^X<klR+tzv^_$lj;>F4axt9@~C`(!tF4)cv&2dsl)*3H_8q2wV?B;}#O+Q~k9|zt!
z{Ep9WF@V=5SIx40oH)YjT#$a23vU~vqk?xD;P#(y+&L+n(Bu=9J#NN>j?|}z)F!A1
z;eP5G^OF;2guR-0g!sUDt3>X5Bo+2@JFPDSa6vgoICmS109ZEeJu)dxg+qfLos*Xv
zUOC*fqXL3xd6stdbR`9U^o|F2wR0o8zyItL9U%xvT~2EErl9TZhgQaF9(b~y`gGY-
z7_B=^R<;RH(5a)y(bmoj!M16kGY?3ZQctT5tkFl!yAky9@}u*Q?K9prKdOs)Z5MM!
zAFp&bzgjk0<Clfc;HwZZBzL-nSrYo_+E2?6S`t8P+O#_hmjp`4MgE$c`cSSi$GeY$
zSU7O6$FM{ad`o#zd|&mj(=)60?Q0<nzO~&E9wH6y1%IQ;=X#(!PAb>b3gbL|o~3@5
zEG+H4R5b7CVW|IXM?gOb`ROWOHtEVE|3f?iujygQ$n2uOkSMk&GB;ngQh>W$roxl8
z`9;O|f?GYr5T2Ry!`VX-&KD_Ro3r$w?EB9(<&`)Np6Izee@O}9JH$j^)AjJiqoy;!
zbnW~6`;6`B%5bvE$xE7EJGV<{=|z(iRw{BkqL@`-^Y{5eAXOjV{Efr8PRW2AG-{^e
zq=u}0+Zfnl^|41&*3I2a4&JRTakXo?7rHs2kn~3%3<FMaj4|>^l-Uu_F{6$<%yWsx
zXDJ}{65|`g74YMYsQf8QO}vsfT<DRdg4`YR!#7kB?JkO!kB4jFU7m2K@|QI~A`4iE
zhAYALbCtPfzBY<ZrG`E(Fu)5Q+m7V(%E*#9!BJeP0}A(I-@!~nJdElTJQ=M58}E~b
znz_2z>|lNPOr8-wjx<a@j8?_y%q=NCiXM3W+z=dSHb$aFklUHFYN)CR_nAAYhk=0Z
zH{NWfn2ruTT(+N#yDzzh3={QmEAh{jLr!KW37B^)Hdn{*wpwq$C_OZOdi;bt+Z<Cq
z0cWl)sKY}cLQs3N9;Rcm_y7H4f#w(af8!H15b2ysxBjM!w+#(vCLOF0INMuFVbMgy
zT<pi=^*Y#gV`*$5k-&$Dp!oVtnozZh+Oxb}8y=?F)QH`H!s=1`+ku)0-_)$DwdOl+
z@4q=)4Fk_={hsaEt_jY~f;3vTI-X3O)(G29Lu=5YCzYfL-J5579|WtRbh7fTTPY0;
zrF<Kh?r4DJ1H08XEfoxYl5(B@L&KQBTW{M{bxeP<)-&u-gyf@NvbR*M5$8V1J4aE+
z#kVRSJkG88Xs#sbiHS8_LThzxY{+=rXU6j&S{hHbrW+?2SYz~0?>}clHB=|B$_zS-
zLrv9w+*8UL&ACio)%>amv;I<Cca((mf|E{-Q#9;0wQcnOvgT1tQV&*t3t*)5u*K^V
z8m1D{#Aa_Ofn~L&y>zYL%C%KgS{+>TDc8T|X)cOj`s?*o;~pDsc(d3_OVbcoZTE9o
zPytLEMgF|9V}hl-Zrjfqpy1E&nYl-D*pfcRD(|;KOwyFbruG5aTsaX&_A+1`)Ze!2
z<sxCsUq&#n0~M~sO9Lh;MDlBMtL&X4t|fk(wsIh_-_ACqxmz6OzD3)7wWo>i57??^
zE?L1K()ZNiFKc<>z<X|fdYtf0FPG@9wZu^N3e9$fg!>{2hE2v}#4}>-A&t!v+uuvi
z>{&02)9*Qzy1$PSjK8eJIX75fHK-zK=7k_!rI^DG)Q%E;?#ZX$CYj?DDKYe@ivV`>
z@9N}9{Z8CqVoB)fF~c)c-jAtjeCWy-_;6152chSXnH#2KhKH7S3wfuwafD+3{Gi_i
zq2*)iTzP(tI}0&UwM(2}`PG*DSaFK*cG@$N-D85Ic}Ef_>^X3S{oM7>iZcZNSBG)3
zg$bH=zw3<YU;~-aHqxzcmWcc^ZETfkj2$k!=Cf|HLPWvi)ZeOk;?9HBr)_M;;H%H*
z-F}?~>9@O!r0Bm0?t7<(+m9Kc`&GEi>T6~!_Vyf@`}&*sW2^btV9*e^JCZfjWSBvU
zFs*bESt7joxsDBOGsNe<E~RJLOxQF~_xO<i3NbExeez4I0Wx~n9u90_LPK}bqtvc{
zL>=2~9p5Gcl-erfT9KJ>e9PA6D~61?86U(F*+K<#PS((K1tuibznG9rWWrhc>sYEQ
z6?e~OUcYV0gesr+YG0R_adC?Ow$56A?%tvO^?C>sy5@Io5D#aC?$C~ah=XfAydv8&
z=Q9)R{L&;m#Mz<ddacQlfr84q*RfhI%y_zw=lscL4xFrwlsliQj|;E<9_U%~)g$3G
zuE+0ip&(7)A!sc>%O1==ex1jHLJiy1l;kxoxrH&>wClm^vg&ba6e}1ujF;|s%!h1#
z7bDdWJ+L0%wYmE&8#+?d><oeh@XaCNi?7NWFY;(MkJH()B_(ZL<6}V-U7dbXn6Ha?
z?l*gfzi{9##m?-=vJe^?JO=6{b#d|PDuu;@3on1VI_mn8(3WuaK6{D|yi!j%HPmq9
z<di_Q^bZl3H~U+q$mwA8CLcTXI4@FKKiW9Piy`*9aaiMXZQPD^ynfJ;A7k@lf8RJu
zz~~k@ExfgH)m};S$3p?!s%uX^Y9s}Uv5pO0UK_D5#_ms73*uzUK3Q(a!03_dzOc1^
z9n}9JK5;<^qOY4GRu0J_df`a%_Z}@|8Q!esvL<2ogqO17fIN<6WiEFPXrU_Mq2P^N
z5j3vbuPP_62-;1pzH_YF*c-b}$Vpoaao!*In;%ue1*5NfBJH)onABQBdM}R8dGA7=
zv@4@kKRLL)SR3qHEp^YuNn)a6`8cP&Dl}W_y}ImlkmoeDqt;IvZp}eq<Be)iyTQc|
zc3qsXRO1Tsl0~W9Zr7jg>QL<X<U72iiv>$&9$O1}%nQU%dQ57dg+Zccd$Jyy%u>D|
za#6tO_~K{o^IG5$d}XL%uaDvK%WqXrDMBshRH%Z04)R;2go9-%=#S?~R=KYP^SfiI
z%dxsx>2asDicq0t=Xzsjr!rVC1SX~i>4A7soy(|afd8(x8+G!kLRYM7$XP%i)AhBK
zngfQ2?!8{{0%~YD<NfYef<CT2O`q^;Faq)-mvsZlXgg1Ty)>qe+h1uXj@y~w<&WU?
z=P#<`PtE<#9}*PYT)w7qxziL?!Mhm#i`BsNp=*=NVifEkgyUqw%%Sn<hQ+m`ns}#G
zm{8xVzvfZFoYz$?vBCMO&|&?xds-(+%?0S=VO!E{YLgXSwn`{k)o7tn_z^>Ig&uM?
zzS{Fa511$~KI6Ey7ff4A^`sx_LSj7D;m`!2mvu?T%|;tX%_e0Y9Mgus3D<u-*Jv2<
zDX#uU)`qczRE)@&2H4(@DISrt2E}6Jn@+11-uMZQEGm$ZZ+KIsFy0!2Vczi+Gc6R8
z;&eY7sleghCcTJmYvcrP;&~RJ373+qkN(jVf%C=}c5>JtRCdBAe7^=%g7d2~p35SA
zhv!9K5gYi3JD*xMR)^1Ga&Ebi1ojHZCTOzSV8irVkD4Jhh@ZB2?k!J3%3{wa+S>cq
zXN{;XoK(ecB3Y?Hk{@onBhZm<jfBJ3$YqPl_}CoCkt)iLbvec^)(+Ni%4Dv5aaalU
zS2nUvSujA{LVfG2pKHFxT<t$FqJTN}oraS93j|>lJS~2Swze0XpILq6!Cak2%v~EL
zF0~;$Rg#9q0`}VbUu1AYb?4s6fe%FSd+xoXc>wW!B_)Ad3LZN}z4OMNRGn^W@Rc(I
zT5j2G3-J+$(EGD)MT6~CHS_|{jB5nO_VuK5jER7~`G=XBa(~rn^O9f6&#a(vwLq8c
zmN0hsd&eJpGgy^&J!s3O9!oUXRGumg7lfqZ!py<v!&Q^v{EaMJmhj`TFw#-vN6XC7
zirelZRTj7Y)zw*8z+}C!?5=y<IA*bQVP<}~%1nmBS{G!FvdI#1L<9$3%l-{eZyc&x
zeA0Q6q0|g7c~*jWi&^oDS0$lLaIh--fRftQzosbC9kPEzWk!^KulCSff0cc8D`&Kw
zDc-ApjQahL0pIgkB*e)*Rf3y_bM~Z|Agg~OKSN=aco-J9@=~I+Dj?D|DRsgak8Tzm
z?xFuBx?+YrMTXm|j{Ft~nOtX#iOMo9o3=%wHM{AUgHvPGVpC<D>O&)#=Z4=I+OR;B
z%ilf4GC{9;7}K4>#%qL=>v<zW<mZSH>FU;o@w}>_TVpqNoHT^B)cl>(_A`X-#CnDK
z2WiCOh_&zBpaG-}kCxCvrU<2Coo<hp<-}+=^UWMr0}xg5?^i}9h<iIu#jdxmBO>(`
zm^L+1!FQ?h^iabO;+k%8Znj?w(IX=vQ*TQ}{FBD+^%7%*@?*=rr*+zi*h_KQv#%*|
zQe_xpsUIa|HO2yEQ#%RKnK$Ak))Z_s%^dM<7$H_ReQn`b{7P(1VmUZdr;p_n%M?+m
z5hA*G<>d0Ce&T7u(37j1^x+`&$D5;gn8=T@Xf+uaATGK^^+$fu!-34iERUFB;;34T
zQG?PjAxTat%G<ApqxMS~n{EvgSC7q{ym)eyP`y9DGC!jW&V4-ca-+jUo)qoKh5j)j
z?^{z8eT_%g#ab&E_m2=pzx_O9*80iGZ`ulJ_BvR~8Q;JoIZAwrNe-PAo+7N$Hf`|^
z*Tya_)`#SOqlEVtCZo`WX@WsZM3=o>3tpjDJ2*tgi0e65TP#9miG|JEpB?$5iJ-*h
z>oR+O5OJAbDy6083HwcVt*;Q8c)Y-OGO>G{Xv=dSH|bj-Y`1=q*}0Z?kMu*<nZ^Gk
z1mc|VyMB>4&6{J^^i>_3a|iz9otz^6I#b<6y8jSoEz2c_sp>fOKy^5=d75zKsuRtV
zStcUnxCRTZkWt(9+1>8n3?Uu+ddB?vD#6tH?WOsg8Vc>du{Ca)BmR}`3>(U3fc5vm
z0}pqqLGUHd-HwKNA|a3Z=!Xmw3~zRBmTgc4HBG7VOu#SVmZ$p-i<is@JjndE!%7ti
z_v!`g41W^`lzcaqonyt~fFrNO3l)^li(HV_{Y#AO<4;cvVuuqg?A1C86&Tn~%mjEW
z6JkuVr?;nZ!v2R2cXzEac>K=nCsnT!|6NwR!ZF8<?>hx+0=6mRe*gdg|Njh^cRbY(
z7su_r_uhNnd$~6E*rO#W8BHy-WRyM9pwb{BWjsQ%66Gg+4;7J0Q4(1xl)Y(q{Ci&K
zkF(F`EquAO6RYT;@BEen|1R=?$iTGs<2glmR8FbcrNRJb)DooWEBGMckizb}w-n*o
zN#zO_f)SKs46f#z3xM54qj*~zMPO?AT<H_X3=gdDAJbkC1R;O@c-9RC$hTb#@(5&w
z7^gi0B3;5z(sk@gQmX>wh{Wz@y2=hy*3_ZJAyL@9+T-4yqX5*G8^qTkPUy%<_YIJf
zfWpjpesZz`7)XA8o)^di?cKxe(zm1_fLmloPLcwwA8L2czsm<k26~ETtYpEJ^9RfM
zJO#KE_-b%gSpZh3oCz($@}R^+dAsyc0p?Rm^WS|Cgi%VRoX-OV;Ma>xY1CANn!taj
zpBD<lq50spK`$i;l$c!!FII%Oa=&Sn0#O*rtGcaAQUS}*IJP_&CAbpuvVrN1I8YmO
zyu1|DV6vbnKb5Qufz<E0-xZ{Qqx8rtF0uxQW(WqRZc_o-^~UvUg)*Si!L&nauNG7o
zx=KE%PzA3+j+1>4<=~FNkDXFCbl`*i<JUfi)Pbp{s$q+S0(4aG(Ld@#f)}2>`q%w6
zK|1DWYjd_DB=`~a)|bc-wc$SG`9&M{J-VbzB`L#rqRW@LYzka>W;N&PPJ$*^Q#IL6
z6<Arg`&s9%9?V8DlpXj>hU9#)WZN(`_)>5AxG_o}oJFr*9_`fwyQ@=u=Or{CUMlWx
zgEkfFRt3FMC#fLwxbVvJDowZ}{M>S99u*E=uD5pAH3E-ZK~+XQZJ12>bhz~u6|%RO
z-F%o~0{xM_oG-5G06y_sm&u^QWAR-xx+3O4t)lZSsMZDC;vCY)K!vkbF_gdQG;pzS
zH!t2w0+l=OnFm<)LGV}S&`x?w$lcoUb58~dvcgRoM~W%%BC|h>NzMvt^ad~T)sTQP
z-}yi4ED3g;d#@NKX$?u?>iYZhNpL3;d$I<!LE@K@!|n-dXiH`A<l9ez(hGw!0TJqu
za4Vt8E5Qa-;%}FZe9(mk@#Nz|<4VArtEZ^&%?2E|X@%~)t^>K;3QeP)a=@0765zyT
z3+HuSimq>Hfz$oSUO#p*;C`G&l4h_4l9F8%FG&+<+4soaynOIo_uskf*EZ1M8oP9j
zqz)ZrCU<VG(nI@1^nd$<Y+yh>`p`3eRgiIwjPc$*MkAHoD);+i4cE?_OwfN*f+O;p
z<acz#M3}4Qu^pk-P;cgKL#|SQRYq=+&-JTB|DB2V5#Ox9yN!ek$#SqWY3iJQ6$6UI
z`#CIbwSt5XJD=!HNr9K&wOs2^R=l76I>hmbB{VZrM$K2nVDDSy8x}t}@bi|9=`saN
z=t%3lQU=11su&*6V$F@`FZxMP(g0MfYub-?@Plhtc7?!89&9oFs?Wd$@c2u(rlT1*
z1k#yngy!(#ABmrRw!$>1PbUQI{8?c<R<ujxA1^wESA}npvjE{t=@wUI2IvK9(hvh5
zn*E4Af8WR)^kdIo@@ihEZ7>Y!<#qF7*s@ag^?hcLJ5fj{t2<AVPPUz3JI9MRE_Ng-
zq?iJyws&6b?@?Nc<MOPv5-*yxaUVa?W&+1N7wuy@J7{-#h+N-R9;_N@P6+2Qfe6L0
zo~7g$1ZT;Tn$lSw>|kloPw+AZvEVYpNy-p0*=2jjg~o%4&JGG~RYqWyKK;a3`6m&V
z|3kJ&kq1TGc8yi?89|Wv4QReTM@;M&qsVITAVZ_(&8MM;p!IDshFZ7)MnJj0L`?Lh
zPWkWQL01{`g^*zb2)`lpG5W|FaY{gVV(UX5>?Xwp-ri*ZH&2?EcK7`unnKJJIy88(
z`C(AwkJnUqRY4if;ikhZ^AhK{PrMjc89Qm{L<KQMFWK$4=}}_;54SIFe3-}CUl96M
zA2?s5!d@XpoIc_g*V4y_ogY_MGWY5OqdS9V?nNeay>?XU`Wb$F>r#EKd|VHDCS$VF
zR+y2Y$eW=>Qvhq<^15}z=mAF^{W%jKR@`0Rz(l_$fONiL*CZwN-~%=gro(I~!rqKy
zgM#=*irCuSK!Mj#e09#717G-ycIplb;g7vW&a~qc2xu2mIl07%)X$7T*?)zxR`9sV
zQ&9>;`OK9hXL6&CQB(FhRTN`##W+gdk)f^M+GunaFHV>a9+kK(h5{}DU$d@}q5O!z
zfu&SFOb?j#eEC-#`6@+zDDEZ0YqGEG$t(Q0_4?|qM=6phTAdrUs=n#pq#Hk$CV*2%
z&;B}PA&pJ19vO@=lc6_<lGjl#h+W&N-+FS(qHmu}Z{H*d?(L8{7}zI--T6<`pGC{z
zu-CVlp+OQ99jWVDkrcuFdl&a>B+BC@<K<?#Ari<w8)iEeB#K&V#I3MQ1x#18vj09!
z0+aowjgkFg=pg-g_P=^Xta;a;lFm(rW9<iDJlZFLop1gl-JDcH-?!6}PtD12@Q@rT
zE=eN&kG>@)RTb=s9NYUfjttGK2ercUrSZ+>mGDD8s`yuE#^b?fGIW0PdenYI7JoEF
z=Ezs7;r$d6-4i<sB(Z*wvAQdVCweMUJC@b)`jCEfVh06w<(D7Hzb=pO&8@Z!7;2)0
zddZDLetPgJpZmc;vI0hL6LhHc*Fxdo@D*z%eK2)!dGabr5xsxjHP5@MjW<-(tO{22
zf&Y=Y*S%yVEO;cx_vMBT-qhkexZ^t&44Upeqf1uCyomOtw<mS+E49?#VA22<#$7As
z&#B=1Uw8M_@Q~1dNspe!VFcS0mBojHRZ(GA>7=~_2~+fQe@mGegVo6sjZa<GP^@C|
zXx{-6KHDZLWfW}!EMpH|G0CfAeAd?B-8)Ix=s8zj(rOCg2~F*qUFv8%@u%paI0?Ou
zR5b1rGKXJ_f^J1eHSp;<N#T@0UHlum_R+!90u~LLzU}VPz!?MSxH4BARI)26|CmYx
z(4^ROh-#wn4;BlSpIUgJyh-Ab2S9I>>DYZ;P1O0i<~m`ZiK5e7o<I8lV!QlC+Qc;R
zzQnKT9ro(D_AYk2n3E+8_V$Tof6&0Rj#fcg4OJ{iP#L+LZwaLDb`^sAHSl`yQCZ1Z
zCG6gJbo%BuOZe%R>F~Hg9j%&nohvI*z?KU!|GUCv1z$UCGQ5}6kT%w$UF0i=LIg|k
zh_n^_31NGq&!L7y>}~IzF;ZwKn2|IgW(6&`de8GPsNx05-1r<HF=QtnnkwJ01Y!EJ
zLvG)cQQ?&8h0qcqoQmdUZ|t^&Yf%LucdM09?QMcq>o$H2c>0m=Tb3o18b;gNM=7Fu
z7r8^Yh6}g9ptdf$T0%(hk>@U;fZ6BU-j5ZqqJF>e_hM#C*kZGVMVUn&<x)j1emTmB
z2mRT7LMs3gj2&}76>RQRb;{{SpErp4iO*><t^f};GR8z*q_H<t*>u8roj870xkh%1
z2A{Rs%p4^o(aC|lC4zUE(6`#N%|wR=J15W2Dl>><iO~<b*r|Df8YuHHHP8a+vv&!w
zbBki4mr(q^7qi5dwa2f&SD3@PNVJZKxiAhfaO(CAOcS+c$#WqKX3%0UaQIlNASw(k
zI*VmZ5vQxZ$Elc@!PbAVR0BQ%Z13-=I2AKR=+jny-%2!v%IB$7{EzwY*!J_(GPh~s
zqd=X$YL^KNpo#eU5)W<_KEQr#ZHCA*ravOAVgkK(ZEwkMxUj?X&6Jz$91(Q(t#NF$
zF({m!D?B&Ofxe;FZ?+}Q6Mx#aP*3$5!D_nQ+-@6oR84%Xr6<2g)I9uEHfC%D@7~ny
z9PejEWsQ~ilwV6kfY{ByU+)=0{l18(GvzF3$#<21>(>=xS3oG$fz1%8DGX=aYnahH
z&3SZVZjCtR_^?hQ%m6%v9QO%MGoh@&k;B5Oe~83MC9y5zR9K(UDe~FPgekYQ120GZ
zBTlanHt+XSflkJ$-*21|3;Dt``_Is!_*LJO;$D4V65!n&6-HzVyz=5|Gd<>ge7B=>
z^N)O#7(KA(A|qZCJ7Xd&%ZS>p&#r9k*MoB>rpkG)G2&|cT_(wEOc;=Ck*sn=4>tNf
zCyCTCBL6kPi2@-OoKZh?I$)Lp5>8=GCag@zdqwjXM-?k>r#s1O7*BzkJ!96np-gxw
zvP)#zhaC@|k1oy?p@2edOG^tAGj4+id}JCYzArLj?W`n&3Q<!TU(Jk9e|Qhf>2u?@
zx60*<JIIiCkKw^eA`4ayJ$6al&WlgAMC=?FNpSg+mPAe%E4EyJW&Wg<57&2^Itt$-
z0q=Og50hjzJp0azRQi`6YmWSzE8j+f*~0YapO76R{@ba<wM7sswIqV08A-55h7f%&
z$%z6j+1uJ53E{DqXV#Zvb)gQqq^@Uk;bD@A`jDOo9+dM_3t`oT_B#fPthPM3Uvi(9
zb(birz0y0<dQS%))3X()a`K^n5O+-P4RLJVfBR6Zy$%>(d&8Q{!H=U652ud@Nn*lE
zO_v{|4(zcV&AlWifN^(THO2%>V_tjnU_rMw$OdclKHV;eR~i4E-<K(iL)7`BHygB}
z-8+lJJY5LWy7kVE&&eTQsdef+YJ+0bMxXYoFlyL^51vz3z<2jJW(J0}!GU3!78fdt
z&Lh!Gy1|P0MDf>)w~9It@`>;CGLJa!u^$=Zd8>q!(@n>2CF{ToTT4flmlD{+-ABtZ
zQbE!T-xd!ET@ZZ6>+mc?3MJZ;Rs$<l(S-58<V!ueAQsL}pL#(C(;p7RDpJ(3af{|5
zcW)A;xSt(RcaX!b^`opJ|7l=fTkc=IWfH`f4$TC*%i~VZ-+|^dE&M0;UNEwd428CP
zDx*RbFlsn5hQ2`?n`^7mIKwEg=9W3Zm!*h*inZJn)OE2nHglWxu}z&5^e#r@g%T<U
zG!=Q7k#Nr{eGHz_hae8`{>2$(OtBHaQ}K?3-by3;#7d~(m}%|uOiUGD9$YqVwkM;S
z4ELp^-v;2#Ryj0oq=sQ4cRCa9lCk63%;l;RMi6ep=`QZ1j(vZxkJGi25mX)B_D&ju
ziQZ0Uu+>1SeU<u33mHAcM&CNcngZk2|4oi7XkyV=uA<*HGOjXIri6)^gN@74p_D#N
zyxBSC>mo<Sqz-=}Qkeya%)F!HKB0waUwa~y!%4`}?e=Lv48Z6V>n`zTE!1S~H%T_q
z#XVd`PTX$*Y<_2mH;-yzM{??Rii|dT+<D-2D!>x5^|jLaJG8K5QJ$!Ltbw$<ll!EX
zEa3>R>e%jZEgZF&o}cAbL%JVd9(o<Lf{*()ZoB`|#0aej(=r=nJg(WEwODEed{;de
z>{K+dG;o=8>XZWV?~{sj_+kZedu$ZKbTu%HYU!`BQx>%nlqn7qR$$*E=lYRb9ocWZ
zXIEvE!2cac7B%R%0=wSSJAQ4dD0yhHK21~@h2u;aoS#@h@wTYe_r5A9<A39O$9+Dm
zo%;IKFLIOb_{VZ9*OhQ^!=dW<8Fq|ITKCV;wSpZte%3h0E8++5i7P4%4EXXtW|r1Z
zmcWy~)y$ej0qtU`qWY9|B6YC+LuQC2JTQnEQn@aNo+gJ`wy(_+J<onJQ@J+nyoq0U
z95?6l^^}B!{WoHN*O^kiTmWUAi%Ji!N#fqiV!ykG-x2X8JF^QZ0IsZF0Uy`J5GX%m
zOd^wMU6dD97RfYt8N>O<`I-n0%;2AFXrmP?ryfmsWC0iAv-QNBh49Q!`s%tvH|?3e
zc+P`<bLbIle_CuIfJF}$8kw$trk(V4XMW0M4h*a&vo@Z5c$<Udo-6-_rX=Th&C<#Y
zsuKP>`8aVSzHYePb+ebo?BPVc8Ep#L<%L3Y1{^r-!W`FmsE5`=eLMcF(F80k3KQ)&
zc`xOC&py|cF52peW~p*!6Hq<-g@|BeMv-I1E7YCuX!Y64m#tikfr+he<X|5Io;KEW
z)(n10(@iYnw=Xb)z5i1oC9TjQCiCYsM%B>Nn!J4ye;Yz|(P+R@!9PMSsPBch<w@dH
zTTptln;{g7Q246e{3gWw8+iY*)e<L)Y|>xX8o<?^F4`OW*NEK3+e23>S_zBtp+SEc
z1Mmo+&e7PhLNq7Rc3M@vCoGNqh0k81LgvP+GQC?%#M23-$e+nQghcIq%JXG?h%|E8
z)~B{e1P&ie|8n3fQEkr~sOF;&Kb0&`mNG05X}?sJQ!<B%eQ|R0=Lhv5pFV-~Pja3R
zV^LY2P8=n!hWTG?aMy!6cZTG-z&T<x|LN87&@sa2VmYn4hXQ)CqVN5dX9-;g8<jml
zKM9QkzM3xX6!<KBRFb!RmMElbb^0DPMO;nJluZ~QL*QER5%SGh;(J|?d-#r7La*B-
zg?yY0QyNh!T{*MFD_#?E<C!_)_FcYU=LHgQ*`NG%t9zF4D1Y$hWZnYtJxq4@`vem7
zYo4`xtTRVw<Ws*&`7RLxzB~3k5GFwnl{tE`bdD$+45P+wTOl57OJdG*(*<Ieoz%na
z^Tf5oY0t%-*9bA4g*)dq@AFNm|K*klE)e8z@n@cf{U)vzr=D1Ot_^FEDh}3v7Kn_0
z&+JaO{3WWnI;H5Dv|;3(j<f~)5>YQ%@N%C59cug9d6YY8fu^LH`4`h=LZa)^o2p29
zEUf$>FM3-O`g1beUf)_F3{<x(y3I4-v;AhN2PQSZ*;{<CvG^L{z4m6YAc+a{XLoYe
z*=s=c<u;9`SL;N^G{+u8TNcb07JcMXq7MGHjZtAme+Zr1-x_Ds*zmubUFTm4se|&X
z1lJ$6{|FX7l=yALfn)5Zyk-~GAVa!Y^=cd)rk+z~`xMTF%!i|%xG|_fh(V6r_D#K_
z7MR?!W0nW)wR6^=Ur>di5%(!GB}U{lrKG;><U{vM!x_7TRe{Ot;hf?FCOq!lvL(h*
z0Po*-dc|6y0s#WU6aiNj>>hd}MENd=14_4=#dfPe<^0cB&&~M0hh(h}6$)dSUt`t=
zn+o*l{g%&A=RnyN_p^C7L{a^dN?v@2GQ@xKJDlywh4Jr0-`^+}M-;Ev(U7MMe=-jI
zjcn#YMb3})&C`--n)C0O(Pd@me`ov9<PjfEM;ILxKQ4n?MWpu6ZQAd;w64#~3ZU0t
zGhxAGIn;;}sP`{Y205qn+S?U^*jW3rd-=CKa?G!5w+$<U+y0p6I}Qt@y<aj%=O)iB
zepEXChNc2MxbR8DM08WnRkPgF+x&ZbhHDmER6sS6>wK}1IC47{W?WfS!Rcz{xsYg8
zklOpD!sUP@GAZWGJp81FBS%MG8~dt(bJ5tF=5lGgS#qvEt6c-rS#?_9rK!W8Tifxl
zpd5zOoqeqMP767bJUtAVHNo%jhn;^8%cIeVO6rGx9n|4Jd^F>^7Gw`QNYuViz=L(A
z2VR7bu!pZk@@0<>be^m-S2Iw;)(r7n-Vic|Fzn>qT0jEFJ2Ih<9xJ1l$Aw_wBNX(0
zNKs7Sra(#zQS4@<inFak2RBUgP*myzIl5R6nt%Cmq&28v&8OIai&J{27}V0j9YTdx
z5BD+)Qw_}g{b!rsNqy9*methtHv}`8?#CHLn%JBux2{vIkDX;UH~f=~A<(R%Hflu+
zPycBBPOj8PKH0QW(P#<{Sw8*UGCF8j&D_W8p^vs*rcKri7T~A&rp1t77hm`i1=A1p
zFrPM3s4fE_la=4t)~t&o`(xVV?^DoETIU6)wk0$tDXnJ<k&x|{hYaCF#vXGvdpkud
z*p)U|a!7`R#K<Gl@g2Ijt>+<GbHxgT2DnAp)^stWpnq#xmL|$3oRgc*wFal(_wVNJ
z(?zA3hf36Ys;F%4cr!-Q2CBpO11tk|Fv5wSwdaB&4hLNvraNi_+n*!bNs2bobx=Ns
z|C2#AHK~}lF*ZP!fBvtdS`$xoJ3x}VC=MFVjxYw;fEGqPQDxA;m~>wiW_Lcc2u_o4
zpxVHdf`0bHYHHZd9#oZW&xGH2qdIhltbw_;F)NU&f-y_Q=Xwklh?hF~9q)pz;bPRH
zU+`vs<-C{szD7JDwlQW6=WOPs_fz)0nxO)|n$NDh#qpCin{6xD5M%{zAsTnjSjwTv
z<LhD79;>v}W4j+JjafoUt<k^SIw_2?ocZ5mBpsB0)nhC1w1is5+>}G|;;1p<R%e{g
z2saX(J-9yrToLx1x=IM6da>y5o-SsXek@X_v=v~d6X}U-)+P_;y!b6=$qL<32IHdX
zG{~H1a0@uWi}ySX6yt>1z~8scsqmf!IR7me5Rl|RyHbhn>M%B_##?)LRGEW#tt|U@
zM`k?IB53j~kqv&;4T${eG=sl#*=rAG=#b~W<$qEhY@m24M4n;Y6lCvM1~hQ26HKM0
z{NY?|u$4KPdqK+-j)eGF-)CMRQvOwrtCq3C=t)i+E*}%9+)wJh5j8<j{Uap?99co*
zb>={JnK3BsVJMYN>L&{0Pd7PDvA|i{-@boqMvy;LtlqSS1aDVo_5B<c;A<Mp&E94N
zEoRaO{KuMUjW+D-TE|(S{JDtpLXjcxS7g0pO6jE~OqvZ{cVL0BUmq1yH+i%0?Tg$6
z_EB1U+V$EU_AGFfZSOsqlLl}-Q!O?(?<XzmzROdFV=VC9pHOk^qk>ic9*NVtXKCL!
zk2KvaWPxoL1wub=rGiE2pJk9+pmj)xP5h686<8RSIMbf%L$st=ZC1k)t?^!#wM!~1
zWKs@)KSa}q)`1H?<3_8r5`!1X&6aGSu>R<nD(b--F5&D)+3Pf=^!jfsqU>Ps>iGR0
zTRpJ5Gjy+N{txZaVdc*>ArAO>e|F<!Ck2*EPj6qe-k_cSZXHr)!U@5<H8@reP(Z&f
z)a-Nz9ULQR+tgp?0`5Cb9r24~IQ-X%_30maaO~7W9(EpJ+8|ssQpiAhWDJ)K7$NlF
ztt;oMc|oUWe~N@Q8E8(zKO&-;psm>Ou+%F)2%e^#zx192t?8xSj31fd&e~~hyLbG+
zqrB&1Z6pc)waMql04tPT`SXNpP5=&_=)Fv*MS_u`kuKxsY~a#|;=MXTP%2ATkn(bq
zn}RhP&mQD}V2+Ec8p*;yQ@AoJXsHXIj?S1yNOD1@=b+dPCQ&$D=jv1US_f?5M?u62
zH;63!Pbeox44R$aN{$@Ufu1_{^2aN@aDZ|yWY9|j&JNS*s0rx+`-W&vDK9^Se9PP4
zWG)3F%Z#T3KWc+o(HDm{BLQe;z1JUSEd%Rak3Wu-YD4jw!0D%F1>w8f*p@^?Ie7i)
zU<S)wZIB=3-}|#u2+pfdjU7EG55~ZqT3xISO`l2)Ypg_Id%(_uE!heX)Lq}C+@%dC
znDXD7z7qv<C?iwpPelkns{L?YRtH!kmIL;m5r>-Xc^Cbhl%Zz&j5J@W4v_nvJj*qe
zgj)8Dx$6H^z@7O3-Aj@#yxNw)z$qmSH@9^8c2L#eilbm!`d?kRt?*<QvzRQX_}(2F
zs8ff?;eZvvSQ1<>{e4^{Lk?IqZy9u2Yl6q2*6c({GDO(Le&sKh2S?F}Os;k<`1?QC
z+s2>BAi0N*S@)d+Sk)VPc-!iLTT>GIawP@A{PZ3zuPB1y&o1G`hq|!5FL3|QQa$+A
znRiu9SsA!U>6udDByez0YdP7j4=?I3yB52s0E^xh<$KIzxb@;t$}=_ta5g@$J0wyS
zI=`uh$AysLA6X>e`cXr8W*H+=lBouPN%XB5jbup45;R)rH-gl154L-S>d;?Wb&>un
z8Dx`!W;i$RLk#1U6plL@;1ikps<w>`iKd^-r|He$(tfR$y(cvx__xnFvp6!GNIdO4
zde<DPce&UyNNGXdVVhF@e<axBS2<Wmra_}VTRTgZ78t5uG5TXof(x7>C#v=W3>`KT
z_5Y>?w2}jd#~<hbEqdDX1e+yHdRnU0Eo{~+q1lb^q!!rO&Rq@6w}j76Ol!PfX~7T+
z`%J}zI=C8GyjD`Mg1niaR?b6O(EVP9PlTijHub%GX^B=a>TjTZm(T?M?e1%>9!lUl
zI8esiY6XtLcJ8|48jySPi}k4lc{p*2S@-ZyEBKw$B~?G94&Fw+%I_kj;kWN#Q1grx
zXgud`tE^Om-zs}gm|KcLlonr3XRj4#dz8-m98?ALZZ0AP3&N7f+c!d+JR9N16<V^Y
z42{23S2wosK$!5D%{5;usJvcuT`EBd#=qXpG-+dj^l_044{<992&&{5XHtY$8^^yM
z@uq`4i^rx8)LVkXXo-vWC3%oL+}Jmxv`pJR9^kCtW(h08QbNN5a?mC2zkFWc7p*ct
zbv$<xpkkwegS1N;jLRgYL%92B{ugh5+8PV6BQ1u{GEV~3G_tmn@IP7?)vl78AAn>~
z6v`|j2IoXVKZ}!_i1DSA>U(xHsMhE)%Bc|sw%zsoJ0?F6v>j#%>VXz;kLoBBpCAaQ
zY%epO_39<&pYHu8nq>~^UrPt8qWNK*{t@4w`~3t(K=r)UYctSUi(OUU&I|ts00960
z43~E_*8dyE?U}vzeC%g<?D@Gpicm_0qDjNIQdUKxkZdA_R92!;w)%z7yRubg!%m3o
zy)u6OeV=om_c_<O@9TA4x=-Ft_gv}2qnoe#$TAp157nw4{&9i;&t5!sPcJ^4*K9mw
zY6JsfN{X<}2APDFl-7(cJSU*vASTEV)Ca9ewe~Df>~_A{=Fd0$8pr-bh9(2h*`Jx)
zxW)*#O5GO9UE1(dYS#;eL=6D+JNNz_p@&S_QwPoR8*pAdp2@gN`p|x%U@S$D4k|}(
za*x!!$3y2(pk9q01X;t{Yr0KLC1gwdd)Pz#5lK<MLrxFMTSWz<EY~pyZ?Qbn3q@E3
zpH-R0U0tYN)$xy8Si$Bi&UJrOuE89$L&Nwcbl@SK^C6{wOBh>#@2S#<Em$DyR_<X3
z9nd~JA?j_vh-JPKZT9#3h7qsl1UJ@dgUNHBPp8)Bu?kw!A1;|5%!;+TWWRwnEDluo
zXa1hU7$l;D4Nv{TT<P84R~Kr*_w;uiRjhNEbHGsA|42hv^c}g!Tk2X6yhS&);W~?{
zT`a@782(^C)u(REzoJ6x@4uN{!!y{w1{O)h{xR$^Ynx**kqQ&#0oyqzW-!kyH-qyU
zCNMh>`QGFbP5ATBcEL`426Klk-<kSp>}}14l!A#S)VOL*^X{F&@_8$#&dkkX<_El!
zd7CIuJ>hf1@y!h8v(H||`2IZRay(D@uoDF;lJ8y_AkAVSi(`-e+r5bS2T$l#_mJW7
z=LG}*+*yn;_uQJDe;F(P74p%6oeV2D&xLODIn2Dj<(%K<3Z|4Abi>tz1WOS3@EhGc
z_Kw%X`#9%1MxH#Y+kb-y=Er)os|I#->k5cXhYhUdiYa%)TMY;>J2L1vxPZaEd#vG^
zTbNyep{*L726WBxoatd%!f2%(X~$COpowtryNInixL#E#nz38P-n5;4_mG|e(h})Q
zUuUYp6?^UH`86w;?gl|nFN_hy3*QTfZ>fSxNvB2XnKg{(=ZJqLnHhQwr=KRCR)zMk
zi0%sYf0!RDPulnv3)J==vANWw0vXO56+TLv*wglF8Eva<u&^!OOlPbDEpJvPtL(S2
zuAwY}b~#Sid~flftxOqi{nmNC)lUcePR{hF2Xeu~+QaXB^_8JlraFR$$^ZtN*BcZ$
zc!6=*t+cF02_7E3T;BA85je!1WJG-UAYi$T=<TcoJP!+uNx%#Zw@&_}rxSon)=?}i
zn*>m(ZT%NO&k9~!1DYd+g79y=@~uJv0g}67eaxrXAj|B@rTz$EXm0Y=7q~<KCu6fu
zHXNLwlu4&66)Or$$)DUG7!W}BXZKp>F)r{ra7U>Pi9=y){(%i~0yt+me2)6X1DqeE
zwRs6raG^ITT!fzhL3d6{ytCtjt2ti(imPP6O0nUnraS@6SDuz$>fnc~^A`jYEaX68
zPp6dH0RsGVnZNS*h9J;{Lq_A8<U#7luxHp)0vNjLGF=2=5LEsZNxq~AF2N&|5Pl_a
zc*Fg*nJfxgwUw5_DoSwUFk7oosS;Q=yWBZuDGu5Ev5V8&%D`(XWwRQt43yq7qEfgd
zJZ%cSDmtqQE-7h#$;m39<9VttcwQQk?6X$)EUE+Ae`aoVToo$C_=~$g%0fP0^r!#}
z33B(bjd+KvgQ)n4m{u8i$oP-!YQs%|vhF2zM?WHbsA_i7j8y>Puf-cHLYj~eF+;Si
zC4<L=Y5W`q0SI}A#%}RbVfs(rZz}^$(6}cNRT{4Z;Yy~56V|C994^}H`H>2jzMq|Z
zEU5y&o|8BZf6{{ZRZp5kpf)UoIsH%OxhlA=>~D-atqs+i3?>Et=|aAR;13=db?~$?
z@V~m_FIJ1RMeE!8;Cudu{L5esxKX}a=lsZy@1z}fv@SD*udJT+Qy+;?KP-1QpiCRa
zC2CCnZ5l&fwP~ML2MKs`Z??7(wSjLYEo;IO17D|^k=YkyK#lkwZW}EK@mMiGhXZ6j
zZlre-qkx~}EkY^}73^1Cx^L8(0fA$@Cq<V6uGF`)8h0s>m9+b9@oO4bx;UFEs!*We
z(Q3iu6(Yo$%6#R&Y7Xze9KQ0hiwt^Ae9}MtRAFW%m63;jH;^RX)>&|pAvwRtBGR4!
ztS-=Fd1g1rgdXW3O%OrzQtdF2EC<22G^+8q-S9HB1fvhpfccun%R;Bc!SI4YY2wcN
zWy<R!_5n4hp`CmBb%7tOuH3afe112Cbw>VG<5GocztQ0j57;2$;Xoaa#BLCb_Z+K{
zPzJHnIi-Ks*06DWwERYyIfT3o&3`XS0N(QOVM<vS=Hp=Yh}py(Sc-0v%Xt+bm-pi_
zA>|?5B;y8he@g@B348H0ZaGMPWQL5bmT|*pVI|f?8vMtFZ8Ydg!-$LA>kq7Ss0b6Q
zr%N}3`??G=KmEm_HeCOFS`H&pFWJs(5-<bu@WC19WnpM+`AQu#U_mXbyw&}Y0IIK5
z;#>1~?%aok=g%A~nw$^5o5liAq)2wG&g2CrhaAjuiw#xFXv(DWU_jmcz#dY}3EiY8
zKUu@s(cS5@*Zz|-g>b2LSMi;}$7&IK2*vE^qp#ptmaYk)nCRJ0EDRu-8l2FP!jAq#
z<UJd7GKSxE<lP;$|1eX|FC3c=?5Om@o1WkZBUos7>@MiIh<US>%8qQXp`Ia$hL#V8
zAoXIEQ{dDD=Ds*5_w6wos@fg@cNe1}T&SVHuQT6|wH_y3_+-q6<kT}d!uA<JJI&Ib
z&gm0&kv*?!a)K2l9mv`H?5RFHC;d4)RPhlPbSiT>{)QE)>^TwlVMz}v;-#PFd358v
z;$mfIqFIp`-D`&%NA$qUPJ(r2d>B8K)OKX?9xJ+A#iDrZoi1GbX|qcBGlAzM-qvQz
zWJSvlSU33<b%D-}PgYiO4xiHV^z0a5MYk%_KAlO_fv9tFGH-+zaaZQU?W{C5bazrH
zo{vKZyle$2pMEUkUM-=;^i4ZDzqw$#aaS8um_iCqd9UG?ii-<VzU-)GbW4kkSsO(4
zG(sOQ{=?h+mQIWv;6QqRB4d;zwIDS5M_19gE&P7;%430poanB5(<4VgEnwAYoaA$(
zLtT>J+w*SjLb5kXGt#rDuzw7mx;~>vaRzM#f^A&rMZK@Kus#*UUU&4)bupkKn|9}+
zBRoi4$u;Ijn<ivSycl~f&4diE)9%fO@FH5Xgg>vRCakFOMQM95qo~m#4!-MrD0?_A
ze0|5angTRVQrlV3*B-Ws=^%d8D)8i1KcWCV$G|B6UN&?&NI$7DR{+Hbagl_*C?N4F
z;fT&RcJz|@(9`7!L6qHgGM`(G0$&HW<Nn^_M7tHJ-F^Fn(cgp#--qpFu<I%J@S$;`
z!WLW6xz8dfuI;Z)^Jy}KH}IwMsq&z8ox%I*?qZ0M|4xDi9T{BW<L%c{c+t!7y%{zX
z3FL$`^`9*!fwSa;7^xCI6cuxGP(xS>eJIMga@LOoeYv>wtwDaYOHCykWMxoQ(6g=c
zjwF!1)`UeW2_oYw5*HJ4WRdH9!{(YT3D(1BLo!2z&}Kxdzi*oy`X7gL1idQ>LNrqk
zuC58A(B_MU!CVRmUUkdAe?$V$gtYTvk)r5&RleDnlOh_v%-&i#MS}GB?_*m!;>f`1
z6w{u!1mycdY-sut8M0Jz>~l6G(EL&PHBSX)^gj2LIL<+V!s)qP=KWG=aNnz<V<{?V
zsD6~s<pu?~PY==lcF7=O%7{&qkQ!ooUiX4`ivmTog`TNpStJ%xE4=rCI{Me}ba*IT
z6Ihw0<?}h^(biXymm?fRBt_v~e|v@s^pboE+NugD<Dr|riVq2eaM1sur)k06m9d<k
z`xMc52PRElOGcMe=FUXXv_WhukzUE0fPPCFWiR+rkbrk%l7XuZyyHIF(~+cv*baD0
zaIa9%G!Or6JX06M-e5r=%9N3p$O$h22Tk-bqdv!ROAp8~#ZvV3D(J_d-T0n3O>}^o
zdp_LL0Hz9fZI^3Q5y7_G?$i@awD+lq0Nt`7Od1?MAC;?y4mPGREBb08zm2CBNg>9-
zOh``*yr_;2MIV&gl-5Lf@>idP@|wbk^VjAYMh(>ImD&;&M?q3;4o6z!F(_CGp>4Qp
zpy|*gOzRODr5-fOSq%WlzrUt5oTY(M#w>@Q<PlNfnn8M}oEZ$18O%3lXdvO{!%wL0
zJ9=I>(DQm@2BD<F%!zXvDB*2>WYm-jg4w`F4e~Uwx~26!X;vMTXbGpp(v*<@HE(GJ
zKN@t;z1eHETOB2ot~k92Q9zkV4|om~(coFea_hBoYDfmR2>MYki^ON8jGs2sfM#))
z8=O>8r(yukyjK#<)1PU7*GPlCo~(b^)Km~P@0EnqVG;C-nQ_#0hntlJohRpdl@QO~
z%|J>sKbpT&!7dO$1E;X$0cU>#`gr7d%8y_!WW}J&^4Nd|@>-YD{J0d6)Kc%6np-UB
z_P^8DI!4Vv?@gi3)MI%R`GNWV#d~z9#Xw@;=_oVUw7p+<PfZT3igG;n(^$bf41){(
zmCeBXw|tcLT^Zywml*lfZ5l7&%04hu4RBA_IkEe*B+}niemi}95Z7jY|EcvbK+Qt7
zy@#$i8nohYeKygGpSOP1v(<t@on>C*#X1qRA<)3H`THfV=<(0QXU!DYPJCVQxg&(0
zQx2U9QGSatCA1iH5lkUDUC}K6yZ|~G`kdk8;d;#0?Sa^32NRH0O-TOb$A^r#ngfQj
zKV$a<I5HQbjDh{`(X<?I9@J{-@ixfh3&yfvA>?<R5%k_>y8YLB7qWUpp!Lf&VMka9
zN#|LOpkQ~^XO-*h=#AW;={9l==FUPLxwqdC_SCm4tIV;WG?iBS9)q{oK;&Q_F~tC~
zyzh*NRxqJt2dOUCo(GulNBJ<FaeXMw>bu<YkpVFdb0kQH6yo>wHBVjzec-!Ryhi1r
zM+4%&FXJCR;TxU3`7cv<c+~pvWG`_W_tJB@UH_>CKg~40Qv6RBj<>UKbH3WZ_b4m1
zeA@LLzvmXobNuuUr|v)a>=v<(AKf3f=yj+UpX4Bs{2Fy2Y09vc?b9l*sn_R?*$?6c
zW$eDcb#=h~CEfU2+ZFtfpReC^_%JRtJ|yCks|_6RDuSJ`jE5FIg2kFq{7mp3MQ&+r
za7t8eIgBmgfgM`+>p3TIH)C`$F-Z#wpXizXFKH3Cv=hrcbY>dgtl`p`-r<qSVnPT(
zbrElL>Hpz4GK-JzEfHjSM1`}17je^>1-v;~(sTXAJpR;Tqq0$)3gUrF25x^AaKq$u
zRaU=6yy?;UjB1u9h;(n5m2ocO4JxPe?M^M@y`e{g#L1fA=NA8Y@c1Hb=P5tQaB>xo
zxZUBAP)z~P*+6USpNseak##B2Zynd=7?p~)qreDe#yNaz3Fi?xW6)l{feWX-(co;|
z;YA$TUDtXUXIf&ze~546wl0qt8JNhR6qUhZztcKj^~AJAf1^Vs@3WmaFcQ3?C=PX>
zTE)FGB;J?mGN7QYfNRD<M0g^XHTdV{8ji6qY;2V<qQ)`3xymLDsFeSsB_{h1SBqjA
zt~$t!^gZX=swFg_kSw$qU$cRGeL~dRysRkLqG==4M;#9Mn7*4$*}^BK4kq)iupylY
zNy^1<YA|;_KID}h9a?N;L?LXP=ugzA*ltrbIOpn8LiVCZvd!tSnpRxsTH%@RXNpvz
z$Sm43rH}!67mKk}R`H<UV=>NoL{-QolPryRn2?RiZQd{)K6K@*!{6{y74Z8n-6roo
zGdlhG-WiQNeiT_Jl(lA|0+e4V${+Puk@KF+&!IFyG%9kLmHI~+1R1ndAG5L}#ZDW&
zvs*%FazmVw{XiLhwl57vGjgKNU~+iQpa?p>+2g`vrwqfxdFdoF7s9MKUz2CV(3gZ~
zt3k5L(7;zZY7xtWMmZgf>QyCCn_Nnm2a__`1<AR%@bjTUwLLg<qBLT3EEmMLmEb?^
z{5A)Fene3=>JUhlMZUJs*(#(AnVAAN7?=bRkLiQ($!$60^`kHMk+m|=-q1+)uZ0kH
z=){@TAO*yheU|@8rZU85rC18z5<x|KRz!D66Hr=qY67o<3jBB_ol<v242fm6Y>_&Y
z5cWc`ps7s-g!ICD{K6zqgdwBH(KHpbCmD~0GF7<uk~ExMCxyIPMS|pRtD(+1Um4F%
zHL$Gk*}EVli(>bioV>ilnPvNZW97OU5Mett)$JsQz6{Y_Wp*W@RJ9<MfFU9r)Le6l
zE|f=ZliM5e>J-FqnfCq5;LaZY*i6U}R76()nEhO&G*P@&bYGW*Cg_dRc|Qpup!=6y
zAd!xWZsj+YmiSO%O})6_-Kr95vio>5xtWT@3s}mOHngBs(UI$my9#0sx}?bEqlL<U
zT}T`))PcfMN)x$96$RFjf4-g8LXIuV0YY(lK>8u*-K@96uUic-4Jq2FJ978o(zu<x
z{a#;tpWhDeI5`ICNZLs6!`Zl_xkj+^&_O#Sk%;J~4cPn!w2<#s&8kYX3Dn2D@!1F<
zp=u_ZR!2+=1#U}iIgDaJ^Ilr~s76MM%W+Yk_E8br{LMz5r5!HZRsThcCnFtQ12)-R
znyAIPDv|KZ3<8?ZR+C<l(PYF=p#W|&DiVBloi3jSwsu(R9#1m*>c+wQI7J<KFNlcR
z*_p$DDxKud5fUmbalgvnuZ+yMs_4|3&0#YpS7U*LgzWUn1HUmUB3bVBm);_~A!ct-
zqtd7bI)D0Fh7MI0#g$X))^vA6ZBdcde26;Ik!&x%AS#Ab_qFN?5_f~N93$V%q$)bJ
zwKpTunIG}&wi;pDHixG-HzfN>DriIF+T6pJY$!F->Nlmt91i$12fTGqLeuP|1CK6j
z;1c8L$nk^baIlH|eb7S@eWuS$mW&v|pL<LjvG&nG@vsstI$R$4emF++^8SKBsJZCB
zlQbCi2<$w(lSgTEqxIuX)7ZYdYhO5f%%FFD@uK7_DHN+WX7Q3^6(i=tRVI5g5GPg}
zMUutQ$5|Jv51Ct-7@_iaNeckc(%LG0R2a$kjEO0}q6h2Ar?tEG15jkl>6w2DARDjE
z+6H4r2xD*lkop7z7vWIVIz~QpXU1tRgvtcfohky3xjTJuAgl7}k6lP7TQ?`?4HI0~
zc<DD@WddJ*Pqh?Fv!Oe~YD-QXOi<Oaa`IxIF-+u%q!j#QL|)DfZg>R~-1T0#kicRL
zKWc5|6t}nWE0N7J4qi-fXFRB4T;B*fz7RW%MAz_C->HQNK_-}>Q}OxjZ3t6F@=Otv
z^Z59IX=D9-M(CX5E*dO101l>P<vriW@&4JFeU`f!At->-bcEgjLg_j`ePtfR>v9O?
zN+S#~yA-!wd`KVO{h2ezqgwGOkFGk4hYS#?;$9o{N)OUwE%;wujlr3m436G8#sK>x
zxX10;^uXwZVW+He6XqKhwc)PA0B<6F&UakWg*xfI6(;#z*zQAo@fGR}5bt}-Grv;@
zjD(ecp~&BuRzl1}J5vS-7w$Dqr|CdoLRKT?!zlKv@pfa;6$Tjf3P|%S(+0EsK~Z$^
zli0H_3K8p74DjJP+Yc_HHdt`~<6R7!#by=6Y@~^dFjQ3NYxGhJLVTqq7jow@>-fC^
z8<mXkFzwybzp7fmEY{srQo4wd3%a^|uP_09>-<61H&jraSv&o%WEm6O)vOdtV}^;r
zbEZ){eGs=On;S1!#eSK(6HgejKuP<<=iYUiP@mEC^3|(#EaQpr1ARwU2s&kXukNTO
zjQz43oGjeH2K3v-UO#4o)o-?v2{RP<^d<J5ZT%L8Sd?DJuy8;-bv|q=k^;9%zE}v|
zq=T)jSE18SIDs|zbN$**?`tv9<oofA9?B`Y9@NuZpj1j7sZApTe|2BcQYQm=MpqqU
zJ<J2UA_DzBEs$XD>zv*-872@_vAn2N$qS<<=bqj?L;?#UFYR~`GdSBE%WwS42d&Sq
z{&`$Ug!5YedH!#c1+?;QoY=Jm;8$?J)jE|3{2Y9-1xak6Mt91u{fQtH>g;1mE!O~D
z-Rt7#4spQo>yFM6O2Y6=BH(E8UJY<ta@<nT+y#}Y@k4*wL?F9YMzwHU9UghPe#i8<
zVO_qBPcKspqUue~Sw2&TKPR|eaclF!>zi4v>&X&e@pe-E#yNEe694F%=*kCJR%y#p
zg%rq|)?Z1asRL~azc-S{54u0K0uR#30%ho2;bDDsFxLF2lE*CwKKDd7=?vw-gg+eG
zt<=GFK|l0Hj1a8UHcuHv$V29lV=T{ZszY$3|6-}C2t>9-ysny3fUxVU0ss4|4jIHa
zgZsmxP|?;An|q!BSq!^aGORUVbg1xkZ?!ngHvIK*m{$T}<@rT}1r2!dQ7mTett7BX
zv#2S=ssOk81I^|yL<sMw%emby4co?47mBVLbZ5V_`8hy>tB=|9$)U3F<J3MLr4e;l
zHQX$}Awq#-zh`0UZ{%R@R8!8v10sknyGoINQQ%-bzU#_}JftDl#uNiGY|`}E&VAN|
zvwUL5+z5*Bz4o$q$T<pR)k(N?_EF(_nb`i!O9YUYHI9jt(gYA;5!o-K4aux4Q)wki
z;Q3i<>v)wWbQY&;9P!eD1A~k7Z7a&amC-L*WlV*AR^iOm^SZ#KZAOUKRE5#w(_11B
zs4%a~7-^fJ4=vT{LfA1i807SRBJ_6WKb<x@4{JlX8&qlUd0ri&c1P$RdQJsP+j6oH
zzcJMNv~ce`r~&GGwGFinQ6cd1<nNw76Ch1|TwCEHf?nx&+3IRdh`xVX<xV;VH@q}$
zw3CSN8jc6qj#J>T!|%lQY=GoDcNtfPiSRP6Q=6@r3^M_b%DmmoV8)O{W}hd5b$G8^
z9DxYlBCQvr`F47uWwd|9dm{KXt=Hu3QG>u2vCrP8(%@ECcRH96;lIHz0<VcX`Gyr&
zIKpTSYmXTi--T)b*?z^z=AQxtN<6N8VPOu}8BJmZW7Xlr;~43wW?4|%^3~dP-W<-Z
zoA<pqqXtJ0*sZ(!NWg`qSe-&wbGY(X3|!e&;bGGCa(F8Q$FdV>8s_G(pXK0$R-7^{
zT{_ZV7{Uwjb^EWevYUg*#1*fDn*=z~PdhmCjTMS6wK{11j|Tq3zSxTsig0Q%=v;Tt
zHg<Q>tvcD62I8YGPfop)2MH3#_ur}WSl+$%$7s$Bq<Dll<3!~kc=0IfFlhjL@#Ra>
zlRIXxgaselWR!tlv9j+{<zM2f?fVY6bDBZnp@!S0%MuWMrz0Ms`tZDWo=bQlK$5Y*
ztPHOhJdcxn=pQqN+bu_n-;xIKF1cQO)lnESTB7z%dC%Z8qBOCk!x)IU4?pW@5diVJ
zg7v=5IlL~8B^vWE1@+fD9TNV0(4qX|$jbf&+}?O=*JOeTSS0lEkxID1bWpGPOaB61
z-BS`8QE3bXB432+IyvAr|Iyd!eG9l$Xj|IeDI+lMGmpKr<EJsAlQ$AQ7H~<?N^S{)
z5u7kjburXsf)6?671|Z^xF>hx!Dd%ONUKt+zj%or=o~^V<eKMji&+18u9pUoI5stU
zWN;Jn{__3#XEck?Y#)h^S=5K7yG20_fooWeh{u-C!5RGhwsZdc9(_>hDkjZlEMYyo
zqReg*Q+V9be{aX0=t0fN;qoSvd5lp!;LXp)ar`Dw@@3a_!RddYX*p5Tn3s9lEyDO1
z?myt-aL7p)c&ru9ojm>*dxneO$YL7B-(OHIFh)91dGc&+_>W<X8p_4*YdwN{YAuFl
ztLebxjCJ&rv0s>$1&6jBK7`Y8m24kP(T0wnREE&CZfq?;u4(J+Z(LZ#r9owvHb_r|
z9nNL`h7A>m`py{*;?JifohO2|pn7w~&#0gUJ0@<uoMHY8-*@eurT-=syncM&-bk;*
z3a00W8<zU<gnR4J<^EKd{Z_r#_`fRb<b1il1M0&EE~~Q#Zfb&o_b|Wu^lR);303FX
zP%qv<tDr9n)&$?C|8@8dhGW+pj{eMc?!}7=E+gR71g7a{g>4mSIM?a9s;7iroY`4p
zH(L?~*4NMVPLCAf@&2#ZZ<zMtS|2YkEE0BnZ<`o*mhnBVUdJlkmDP)fs+GI<TqOfk
zzUy9i{{iniRxHACqz@02Iv9vjNU)Dv%yYD&7FReebzqlmKQ1hrLU*;12m(WEqk$2P
z__oMEcW(RuPFZ}Ki?%eN<SeIPEA0!ebkWhEI_?)Ps#3gp-#`OAy**y)+-$`q5<4pH
z+#1AFy>ky#`Kg1;v+v)(Ike;3b76k_?*GQ$)4IwPaW%N&(i(Ngv=g7ZbCRp+^AP@Z
z%~?8^T@4}~qRPefzvHTs+jKJ8BX}L(`J-ybRG~sn;F^Q=PdscFebPe1AN=A68<YD5
zDnKsAFSq%3<EbZKT=R<^!;d!*z9SYDaIb1i*X-!U%^ith-r?i8`F4I{_E}}<y;!Dh
z<~V>qqS%{Y?<ev90{{U3{|uLRG}V6?$8B!*wfD6**Sfa*CK4?rNg6^zrGbQ`kO-+1
zKYK(;C~Xb*YeYk(A|tXQl&rGH&%dAZInO!I=Q*F}^?Ezb1Z8M6s9>JcIX8y0mvKr^
z(7Ri6jA5_6i%i#1!S~~0-qUCM7^2ltE^OoDjM&dFb6e7t;pEA4rB~_)!^pCSP5kI2
zLnlsf=m%-_TsiVeXy*Xq5BXg3d(poPw*!tAzGsx+f8o_h`-Yzk8@cPwroa9%5)aAw
zdCVvxjQgpdN$)U2>jc;3U*j_jr8V)7n}ZagG4tR<sqSw^Um#!eg4R6a`G!tP^Rxo`
zKHs;Fd-{iAIy;&uQnbiWO;>I^8KHoh(M~)0>Tw1|`Oxk2`&Jka&!~#@a4En=@yORj
zhe<~BUgw-bJ!Zm4uzUy7<<TAWAhu?HicxBIIGnGOh3KhhmTA+G#}V^`f9hKQF@ow{
z)7Cv;BMw@hv0ZpWfkjxl!|Q<=Mw!b)PSzJ3#K*u}d?JS^@UEm)@@mX8sziPl9$(-h
z*a`w<%E%OKOFY@Lw`7rVq1r)*9>Ps%&RX|(M9E=}zqC-|$O@y3rXZMY#7F$TvBk%E
zTo!g#{2kdA%*6Nwa$rG@01;_B`1j*cSy)%K7twyP5dQjXIxif_#FASQ@s(8;ACuM0
z&)2gNUhlUKE-45T+-#rB&)t>5A%W0V;V&Enx67Ht7)?>4Hr-Yz<D?84Tl1(NMM%VY
z6YIuIUvXlp;@}Ztj|?`_y)x!gxQTUij-w^tC5bn6<KHj)%RnT*^R|IAA0eDR>n(g$
zhA87<HgCQmgL2g|^LwQNM2zli;DxmmB8+Wm@PVK#*nO5_H|-!3w10E*6+QBVXhKZ%
z<V#sNeAqQ|L0y>WVSoIKRG>)2eSGVy@=y+gQ5vj1>Y~KcF2C7RamvICt;)*TvlKLT
z{LFv8Q=B-ic6{AZiYl>G9qXRvE|1=<a@)B|N#g8nF18J|>O@TM%dPBz3h)UG;{LT+
zhM*i7r8o&`5m(Gz0>VBiLc#phxE>FMm`~v|%{`+-1k43lYeXqy>T)Ri@I`rI=Y@l<
z`_E7bo_S^Z_+?e7WO8=wQBWj|oQ(wP2t8tc(kkdVNdpgG=kF&sDG~H|Hj@0ZKC$@a
z{rjRBEd=M*vrZ<f5dOFNPv&bH66yUb#h>-4xXb74Gw-fOG${Nv{Ag}OMEutsbx>U&
zaV1RmMm05vSD$iz*2vNbL3!aMDNjS3puAj`{ijKsXIQTxYG_2XOyRLjtu!=M-fame
z(I$BFJ52V87!$8=p6nNmG{uv2&6;EjU1D3OkmGiCV?yj=(%yIn3q+_6*lyoMCGM27
zzN?I(5gnV}grrjFD3N>2f47}V%$jDo{+D1xbf!*~h5ZFS{@Gt4W3ETYjEZ|}N*WR~
z^=}u&ZEV1lR>ySPUyoSX_nmj0nLaV5khJu}Z!JC@2;n^BrAG+-Dm$9GtV;x5elUD=
zuPuJtDbyJ#>JcJ5OxMS`G>Om`wc<S@cAy^=PwFk95@8#eS&n~ECVqQPSm`C$;cL$m
zwR?-Y#PY!aXO~<GL7h(7c%#Y=t@}k%wAbqpHe-PWtXss0;2rKpwvX)a^xx-Ul7kk}
z_0NZK*q?{^=;_^69b$)?fza=|WDTOvHIDBDW0t`ce^IJSzz#dy$EN;1RwYbM9qc}@
zUq@$`x!?ai!4@wkO0{k~C=;5#Z}_RdX6es%c?G*otp(SZYHvb^0uj4Aj<kL!JFY2*
zY<6>6?YA<yP$z^!I1Rq~u&Ba=5jpxYdx;HbvJAQ4?b5{jKG)2S>jLnTIL?#BZi9_E
z<~A%dV#IaNfuzm5$Ow4DUX<r!4gUcr@|hkXqAc}=S#qop4m8()(EA8%bG`d>N>qSw
z2v7RhWg!gDtyIT70Hla7kvXO$qGfO&iIgdfGl6rmy+L&JQ0jL$^s^9y{FaBbp9y2I
zu;J;+Fe_A1BKos8%rkyiMC$%37smQ6429UsmdO7{J*M?zjM2evBJ?d@7^jm*KYn~<
z0SnP2n~2m7hG^KochWnBvA0sQcyY)a)P&xycG7dY@O-?@kfJamy2t@lYUX&AEZ6C`
zwU3_QsW2n_PY6Lz_dM<kG(&jzOsDYUF?wF0#M3LEgz$2B{iWS+Ou^0aRjIK1AKfp#
zVf5`wAvDUkv8`7#MSKKFw_?)*J$Yxy^2!S#w0FE88%{P^oxAFnEEy(*hG*`NU#+u$
zv^=kD#TY#WnZhA^S@7o-#a(bo2x7E>H2Dx?c<f;-<qTv);1=(l)ewf)q65?4e>AKd
z3Or}v&4Gs{Y|jp43q$fq#?G;D8t$BvU{N*Wg48X&>+wP&Ske|soZ+HD{_1JZJ&Po8
zSw%faxFLc=HJYiM*+z(O4$3a6;6_s8=eDv<qL4Y4_Eguz2<CT0ey#K1MQ-U289A~T
z0xIGxuXPy0M3||xgO?v3*`F4fC&aLK^X8|AV+^4;GP6*(PXM|#uIB<q#6hFvSFq9y
zA*f2Zx?&*++oey#$Cf3aQ&n~Q@t6TFTnlWkq>vGQ_{#vBwiN0G3tXow43JNrP5s6r
zgr>PCF}x?G(ZTLVvX3yp;)eiMK&ihSgaoTFh9YA=Ikd~b+wT^;^)>?xFY6f2u!-Pa
zxg+<w9dhszNo}~SXMkp#@%ObtqVN$Pt57;g!EW`yp=l`tXjeVFl};6d;0J$6$|iY8
z7ymwEPd31t@%0`%cZ(xcRCniAT?IS|HoNaDVgRAkLF=3}3CL+&lr5D~gqw)6zLSap
zVs`NAG5RDCDS3D1oq!S&28&Eq><qw|$=h9NDUA{K=VARk$_VRhDL)--fX*LzwW`H3
z2<Wm>zr(A7wH10??;jaJ<)TufzPucaE>+Aq38+G|^p@{WPDAt$-7aT1Q}CyXf7wq^
z4e}``p58ia2;KV*8JDEx5nmL=JH(@oD;qEQzx-hc<MeAa&xYl}{m$~U$g(<Wax|w?
zj~U_UlEt0uN(Fpp`Nxsft%1bA_Pve*G{l_TMd)5s#P$lM(W`efvAx5qD7=;ig9qK~
z*xi(1C0a94;I4%jfzS+_cw;P(9>r}@RK}c@!XRx}3tqbyLH01g@tWk6{sCn)ZGN##
zY|_SJ$c_9$J5zi$iEgmZR>63)K$~E+HZ+`{ME;?fp(1Rn!W%nP@PA(`RkeB!i{><0
zsyP;q_ZR;6O%>a|5vGY7wDCzlsrrtV1tO1UdyMZ=gRQy!<(^h8II2B$2vW7gHZj^$
zD?$y2h|_gaYFgOFcU5#u(h7cB(+)0N>Nq#ypz_^P6GG)1h{Mcu<XUkrr%_kmYwq`q
zqKpRg_PrPNZlUAOp$L+iu{zw|jtb~Es=;V^I-z$x5H2&B%ps)?1roQold~#1-VAoh
zqyysV{M?$IYVe7BRJ8rYs{hR;cU89owd(_4UJO^m)pJtmd}JjA7sUNwkgRb_N?1r>
zK^46F?2WVbDL`+tGNVMz8jkXvg;9G{vBs%Mr1mZa-FkNqRnV+aW_)Lp=S>y3>v!IN
zBrb~-ElgfAw8rD3pZF@<l@T}j{$|C3Byu-zQ9G_^jh#;Vw4nthEc11kkwnFDjQ_Dn
z2b(o!2fD0-1(jf4Th~~ATm=8|6}Lxr0LnHk$2w#c;dtMcn@vOr&FwmYIyV8zF6N~@
zY6|#}F3haNDu~d7YlqAH0KV-fS|{}6@tGp1c=r?^*m!0v%2j}Kr@0HH=@gXY(Mzl&
zxG}}OPbTms9kKV)_O=$u!aQYD(SJN71P9A#>{OvcrmWSnqgxto)$4Spr8#k$N@4N5
zXa(Ql>ZtuxDHwdoG%>ru4o%+~x7c5nc>7`@JS#&2rgjRA<tc0kx|iJHvB45^lBcG+
zDB|eZF{OCBj}?FCOeZbwSb+7yTH;}yD9#(M^JPBIib<y)C3zkTM8_X{$8kXfj{^H1
z9yrE|L)w9v9RcRxXi}`u@)d?OQSWjolNBERBT`(=W@xX;%;E7B!h5l}5VvJkgwN#v
zQnWCG{JQ(02C-!HlG`<!udpFZv2K6jEmP2vKRo?aEr_$jYkG~G*wN?fFP9){3g^Ar
z8CxX<LE2+b{MnELVlQTx-Q!K*`1wh$_ay=JeNRZ_wBUr`m%M*kOeP2>2fK^P2;gVM
z&qs=0T<|w&YS9cgh69V%fwGJIsAGb%Q!xp|7Ke+G^EB`WXQrF;@IyrT)&7t*+$a!N
zPug;ZhK0kd-+sQ}Lxw47R6Cvri?3FgUUAUCxKsW6PX-_Q$9ZQmmH2Q)DdrT<H6x6D
zO31G%<O9o=A7_2L_z|L=mf)&lgtWUye)G5Up)7je#I_CrsD2*U^8KYDPQ|2Lt)cNl
zi+ZH0yG0Oi%dGF&Wr)|!?H@T_^26o*ilkv58CpU18;h3=aPaTH)IuWxNGpyO*)j=(
zT4^F2f71Xb3Hv=6c>)+$+I&=8PXt`#zK8uT22dMa=x~)2giLWr9V1v2?abN@Dm(^w
z)ik{KSA`%ho>-D~{3wP;vPr2;Z}h=({JwtpPBL29F1>zcC4oDSMmmlq>q9i!EWuhx
z2xSvy&ll<>!I@ohv}BJyY{H$+UFZ`+xvrh%2Ty4{r8i9(8tJ2**W-6iy)f>Nc;0`y
z`tMwsxM|--^|7sSbgY9Rf{IC+%*3D^PUrL5Ca~&*&+Y@;g%6^*w9N4<e~^OhW^sci
zi+W(1D7NmL6oYtm%$o24d2A&gv{_)*htAIC!oOM)@NJ;-Z5va-nf{Nqiz50U^|GtH
zI4y~~<d!5}RwdA7ll)Ja>VrAd$E&+n3PH#Al#0nI<5h6a-pV8TxRu%P^@+O-w1r21
z+FPq&OEPyS??Zj;Oq?h-8kWUp2TFOPk18(c{?M-CH2@dk_}t5ug3Ui~ZxBsX!{aqt
z&lkfD@ZW8*os?CMoN*KgdsV6qQs|V(=M@7yP1SGRH!qL>0%?hPwHnwynd!uqVTi5K
z8p)1b3OI08``^{KnyB*DX3RMnK`(_ComQg=`|PHW=g+jTCG_U+G%^hd{Tmd|-%>)n
zQC@UXqBbhjuX$6(X-EpV#L^n4402O`8_7fmO@0}3ynV*#J9*5v!&3#DN3~1@AL&4m
zqh#~+fC(ICs2PEJs<_BtJN{`w2QGVJeS>CAq4RB>pV7D~p4X)KIk4;E2PgHGyofoD
zzPsEXouP)MZ=Y2<-|67Xf%jeoGz$=ua=)uJ)zSEN?DN0|9r(viS-st1iR{SN!g0Ck
z=#{t>X&s}D%Hpln?EzNM4d^-1JE4wi0XEX5C$*3(?dbm{gpM`)oC@OQG@u?vmY7u4
z#HYa90>_PjH)<0CDk>V-z3+!&$7(%&!{H14c>wj2>y98c4RqzIOT8Xag{k;<>HG!Y
z^+*@9?=y8gi)*!(<yS$=Rlbc6*IHxL;M}NzgF5!_*UvgaQ9?`Cw9}suYusbGnP~Yy
z4Prr(k(V?SU=}=~I+13Lv15ea!YW_1ZAq0c%_xX6@n}^kw1&@(Pl+|EtK7+dtzA(m
z4OL!;4aM2k$Zt5dJI-7My0H|OR3iyIFlTZVkF`eBsV%;_7Ro49*<u$wD}o!BhAyAl
zXN`A)2R(zSO0W}bwrgGWGNpFkhfA8)AZOf+bCp(vnBCQdr>6w)gIr=fGzyfa7}BiS
z6|iMHSDE-}9@uZ$W#oMeF!E^4dOSu!h@iet^J6Z=B-qNH*ag%pKU3bxki&SjO2OT9
zcI?gFZqUXBL`XH+P2Q71aXIf=AqiG6rEffI>`Mptboh}wl~Uj*OP^C!Wri!a>MYZ9
zE4<EiOR4ITz@tqUf)@Q&=&HU>|B3Th;nT>-nEfg*j#Mv%ulOv{e@GuVEw#rIk`$#z
z&uCFZM+ryK)E4Oue3H-X?^-}OktJ>emk4BKs$8P3F3?TJL`xG{EigZ(EfjrM2(1ma
zefyFY=nf7Op&7f(aeH~DZsHUfr%$ytn6fU?qrT0N#vhu&XMj-T@)pFI=i&L$y^HjN
zUF`FNWHZbYr4Kug3Se36N^H6KGQH_eRKm+3Q`lY`s7PGhtI^sz>8x2R^mL!7{G1LG
z#9IW&4!+@qQGc}ClY2~HG2hKyY-<Ah{%c#OQ+Z(Hr{k4(j~U@xw|I`-H^z~dmRtKW
zxM5co`grCo3)JkJtIsPNBlix6Uf1U}2zul9Xk>{MDNR<{VOcZ;j2gIESggS*!JCfZ
z>)G*sQg*aUjD`~>o|FsCB*b;6*m;+5!1Z_XKy})xPp0|%MWvIV<5LmDq{M}Ddf9s{
zq>WJGaAw3LewFuq_Y(~tlki2biPN{p5G67B6-)&roR*t-?C!}8%0s#92Mi36G56Q!
zOdknHJd(m`8oa1=`_;0$-T-$Wo_u=KVGWM2>CgGb&yPwOtD%U!2FUypZCCYm4Ms*!
zn6_LLKw6GUB+H^ccsGh|*cs0aGt*c$xm-aE4Qg!E&DF=<x@?Q>`+2aDpMMLro{S>r
z_$w~!_3`?<kw?c~UOY5CW)sOQ4B4+QdYfnT@NHW4m}}H3AB)DmCu|czw!R~uOt~KV
zELe3y8u>B)$fmgUnJ7x^+idS0(!+^Y!{7OG1;ENIR{qUg9IaojyD01FVfj!@o$g^l
z&@%Gf7r#oNa6VLAV}%O#mIKA+o5|Q{XyY4}w3>IAgS*dvr6Nyw*Gi|I5G0No8hCiD
z=7UcO?NU#vFfsnxT<a{1@`TO?e<wL;k`Gyq7E)2LLoGGyln5?1eeazvr=YSWkx43t
zij+M4w``AAdE^y*Z)cr6TE-UN46fb}h{)R-K@vy8w_R)lKNZkA_wM2SXH>LJ%D-_t
zDS@6avxJA@N@x?z+_BO_#iQSCWu>cr`M}LJ$k|01v&Mz)2PO27*^xY}n=Xw)sh-3e
znJSpLsXmx?Ko3PGw|F!*%cA2(*?||U`;D_OpRjGvL-wh(q+2``giCBOdS{}JYOVnf
zG3euM=rv-?A_a}*=VkxJYQS!!p*HQ4KI$*ir3?Pbqd?2@4*k6*)=RwJ&9|ESwoNzx
z_h?E1y?a!z#IR|De%1KR-nE7>bZXQPno-0K`Y<U(Ne5=9&8xmC86h&7J-m3;hx<Hh
zda4z5vEhbKvxqzmb-P;3i6v!l-BLJUH>->LGX0*#G-LdeY#U;kQ$aGDYud{VRP4P{
zA4u{tK}3z+aMWr)kwp*Jo(rcUIra4uuL4tC`JC7IwO$Pwhuh<B$5JtxVfP_w%nXem
znPb;pQb%Fd;UzmiDh_|%p4G9|0_ktAam|=$U_v&f@g{`|yO-)J6={}u8nG#IYqbU}
zkIMN(yXs<z<M>oSpB3!MYimsuG!a;L&1^+f2RmE@tuFEc49lBxM_n~hM|NRtIIo5B
zoe@GlS->T4pU@wBG;uY4P3TgY267r4s_G=HQN-D%H*25??_VL;cW0|1(fI5QrzmS2
z=X2(`(XN3LEjhv)yj5VKpq*Oq#Tu_XuYZbi(m?;6_}*e+B^cfLbI_N^2Di>nv)5;;
zBQ%-*Eu4_Y&~2*7Q7s!t=>685W2hn7H_m*=ge>S+RQ6srw81~wjrU&Es3L@&`9^=5
zBz9d*35Zj%!H9}J`{5E5oc`BP<CrLljqTERp0nBDO6ECXB0?Eo*keZ@bdw?RE?R#2
z(<;CIY;icbRtY;xC*2}V`C%?t8=!r~8vbX<$5~kvA$lN+RsJ#wVQt#g8|+rO8K=PE
z%8*A@s$Ps=4I4spHdb>^057uRpWQo4fz$ZcfO8E@(B8h&|7|Mpd{25B|8-dm<<2$|
z@(c8TmqRM^O;&S|pf?YjwKOz~M6_OuPt&J(=sDr{=pc=q9Q?CJ5_^;<)O9yb(yt%V
zH~BScg*SzHua>99Ag60-b6jPNo+ooOB~Q}|zYa=o<m3{CZJ^w_&xyb2<18Z!@`o((
zYHZ|eIb9f<6erigbHns~5sL?6%PgQ6I#QFBLq_H7R(AE;A^IcslRb%3=HQYJCYLG+
zqV~*lFMiQsy0^OQ!3s-rOx%iGP%Gd^x&?{PZv6=TrhQn5RiYVo-QzD)v*Sggm*!}w
z?r*vlnQ5zgw<$WGma?eoawBfTaoeB8f9Q;(>M~-+rcfD;cZuFjg8B}*Fqg)0`sg*k
zgU3@$Fc8<qweJllEUrAdcOht!p1iSdx5r;&@a=h5Q-7QT=S>z`e%k(}HwTG0wzwH%
ze%yH5m#yp&ciz6K!g!iK|K6jTQA<OUIMuQC02@+PoLto%X6Z>(i&y;mG}v#=+Rs<Q
z3i0!|!kk0q=|sOjo)jA4_mqD|pcE@k`27*NTfIn6Fv;e)BV~lAhHELTPgvllQE9NO
zwn9H->~*m})e!1}+>e#QSRhzvedA&)6C~`_{P&0&;$D4AK&B@PUMjF$bJJv5%{Tg^
z5*Y^2mgsiA5WoVt!V`A)uCU_CCH`nR1p{PE(jpIJv0x$6XugDp9j^Im&SB;H_?zb}
z$^VN5mKjVp9^`O<ae8{tg02q*s%H8VH&zsgoc$H*$c3bJ+h)!->w*3J<KU5>tk|e}
zfoGJw2Aumfy?p~#Ir6C_EABcQsP7s&X$#y4%Q>(|mRAqb9|B8Wd9q`J@!P9UIQTFU
zf4a8q9u>_eGC7o;II!$u+H_W00F!Fh>f7C@7(2M>+sVD0sB`c*JK`vaedRab9_OM$
zto(ON^Cd2vW>U*eyiA5r@+BSCFkO7#FOitD%GrC5Z)W?C31PiyK*ijc4q{eZHU+zL
z<HBG7$5lTO$X^)v-5#g|{i6#)#tS^~U;FVonOO`w?oON?;?O~$M4s+!Eg!PfEfc4n
zh~vD>neKuTZM;uClCtD30I#836XnaR+z>12s`t>wdi@#EFRL6pQU2uZkpyW7#p>SP
zrKycF*P=(yu9Km*&D!4Sjx3}apSL{Z(MCefj-<b>LYTWRuX*wm1=NsGQVgdyEN3gs
zo*0TCC#&U^f4MwN;_sxi$ZEsr`*S||GEs<g9PvIjqkvHA-yw+|+BnfP?5u1fjuUM*
zR#V%QaBX~VmU4wQo`+C|g8oY2h7DK93x+acJ=RZZ8S23CQ$oo8Iw{O>#@RKPtD@UE
zGv`Ua4w87vYM)ieV0gBL5U5jw0&7%Re4Q>rWY^s)dM*dWd&A3K+cjV?w~53!Ld6HB
z6X$5-6g+RuDpLNb3G*(W*ju7{@T`(1Zt^MM`=}6;Qm{6@d~4sK)UAik1sO>>V?}7S
z-CPs+PY2VqLbr+6`Y?P~)zs;ugo^S++|{9C{m#f^lokU_#Fo?6Whmp=vYa-(iHhP4
z%r+lbjga`CSaMsV3e?ZaS4Hg91Ib+N{6}XRUS28Ym!DI`zYVF~T!bFXTp~>N))=Gk
zJIDHZadnt|n3g}hq6fKcxg4JzO(F1tu6;{M18o7?&c*!tV1F%|bz;yAij=lFArVa!
z(-+m-M)WYAIC3>8(E?Ud?xhNSn(%kOwZ1=54{EnXov8X&XzdS@m5I^9gNK(r)c#W8
z?KpHa>m3~-ABUQl|7yYS<1+_l1uBNNNcghf1P+AfhjVLb<7a#Ndk&fo7=I^n6P>M5
zF%%l9tEP=Vii7#@R(;^Mk<I4LA!~%}{@!<PPz%2e-b}5bsH2oLoqlD%4I<wCJbUz@
z7V-}64^_5PfxfeNU*j_yT-K<(QdhR>6Gi+ld0Z7?D6=EqYsv<sXEsF<RT?0<Rgdx?
zrGPWGDfm10S}Z8hiv9A`anov(%qx2-OwI*IuH#sX#*&1v5_dIZmFBIt6%a+e=<i)0
z25ewV=msdS`oqY^!M2rctNy97Wae9LgFUuuHU6Db#&+>VEo+-K*vdX4<L+&PIftXc
zzm^s8yYN9+3L7ir>&O`c+&1u#PfXT2rGN~xn<sVJ=IE*JWxO-R)~h}l95nQof~i;!
zT4mWPU+&6^vCyq?wOu~mYg!g#2d3O5y}Rkr-ouH5O~A3j2gzM>((w5E>}zf0GrI5e
zF_%9cz+g$TPt_3#T;$xUQ2nxjk$oobdwK8bT>h&o*gqhOp~d%gcR1S_uElDn-m%g_
z*G-l-zbFh*Ir*5w-8~GcPaiGE)va)#+A&3XFB#*p^C7H<`WafBAI_V*SmNZF+1C;K
z1(32J7~d29gJIR`DdQY#fnO);Xfdk1m}(0&9uND$I4F}7bN;0{9OU!+#s^98VJ*1V
zd##`GKA!UJ$GjOhj@F-3UE)B4+4Pn6HGK>{ndN8hR%Xa~d5PJ0l_R}<=jFn=dl(1A
z6Dwa_Foo%<H<HB?EUURkv)SO(H%7PG=2P##n&4#4!eW&$6AC)2{D%X-GKRGt7;e@y
z!T$gN0RR6Cmv=bTe-y{f?7jEp+Vfs}e~*idBq`dY5Tf}rTOx$AGD4Cfq@*O<_ftqH
zGLx0;y(ufd{y)!i&htLcdB0yrcTE0;Q`R=-KAe29S-TDY@r|zN?;Rbu@z$*IZtMnT
zA%VJ<Y8&v!ec$A=Mzo<Lu%TmTavckl-r4TasKAeZq+Z$Ds}1f$H0%z~RxwZus>t?B
z#3!!|YxNdtK^EuKxt@2+n9cXAhd7j8V+)mi)T|;}ARK0{lgzt>nO%Opa&7tpb~)#T
zn0vG)(Ac~^+4<iBHbtJn=)W~%2Hm@vA9gh$QtONMuF)LE9O_;07PVvHWV?VZe+{5K
z;5?k+KZ8{qUU>28&UdWD!14FWiaOk0sE}3WpT-JW6UH(O`mvGX7?+r<>Tq=8{nu=c
zDQw1avy#Do2xFEb#22lTq3(Xo`*SBIG5k046_$=+Eb@79KIH}(_UT%DkzJm^oNkOS
z?$a5=T<_Tps4|e@NLsvO>(>eFQ9<lbTK)vK=ftSFOCkvZZBJePZ)yUwiIjRMMw-T6
z$|W>6NRxp0KD0*PWD*NKsnTQ7Hj8Z(<QrsPQiHd(w_45HC$S&qC3^i27O>$B1>cbj
zRZ#F0P0vl6!p<>P7X@HTSiWf*qh^~5c>j8@W1l*Wl|&V!?tEFsBro1*31(ISS6!!V
zmX;aJz2#T&dB0UGB<rtexs@_(5Z#2`_2#g(%Y`BH*g7_vc>i!)j1nj^r@kxcpT|s9
zwv~UY{J|=!Ne^m&D8i*tu`-5Ji&&=5RNP+kO-#MhGBHk35&YufE2O-ZuvgcA?E4e7
zjol5?se{`J@bmAz@vAAz*w&wp<QTeLY?Zh#er!M<jt#7a6DL-%-NTt)yM0uUxfVg6
z4)XBco0L{{Vhz*d%Xa+fKm(UDu9QaR%RvWDuq6Fi$5JmjRCuh=f<no()Rdqc+@)u=
z>BawGxVe0%R~bFLICkwOO{^@;nx*N4zu&}`6DDby@)_XXAzK+uR#|AV>h<y++Qxo%
za1EnICg@F-e7hDW1AnjD#<@{;vC*W~YZoP0!QDx5wqHyJ7<-prHZM{^U;wAQ!)tah
z_lzibRxAx4yS(D3U1%Vwz#=^w=LAdD%Rf~QNkcf3#`UV-v_SV}RNvW}8(!4NjwbIA
z;jE$P>#`Dh819u$JG#XK-o7<Q$?u4uJixn>mB|2JT<!iHU3@T<#+LmkfCw^$2i3#N
znIN&@P`=fG0L)gV9{g%UgloYc;wu?gp=?iYDTPlMN=2$pi)j$yeT?JAj~I4XeZ!V*
za9b1@s-*6mQYAuP0j2YMJ|}!D*>t=kEdgoXGK5JJBE$)_N2I85LksK8UIuDO$X1e!
zD!ELA=S4B!6}os}yx`Rlp%^Kc4Jb>#^pOa*t<h;aPx+wX;Tn&ezBEv$+Vw{2NyAmH
zFmxnU0Fnm66V&KsfmZ4^yTyPs<W$FYsa6Pqt$%r-?z|jS`x!Mhy_12is;be=J))2&
zSUR%4tN_B6itHSp|Lx`N+c^JVamYQ~a@L(g8BX5H+S@E44=FSa6r~3Qn0D{HWM`xb
z2j7`d8P+R+=_|R%m$oDUwc59i>XD$?-=zb6P=bdA^p58KM7V5xv**YmGHlS0-<yi7
z!r<I>Vg;=X47Ubki=9=6wQif=s+UP{sg+^G?~yFrN*FIZ?W_S02lY!*nbcvDHtW(&
z19^CNn?uLVP!q(DOqSFB(13Gm=iRA(D1f-ZF}3blO?duvCicL97SQ&Eu<t#u1n09N
zDm>3<!N6e2(N<1f$eU=xn#PsEa))F!8>0mtF)z%LJ@r9hRq=DQu_}byOk@|iX#s<m
zw4THdLm&{9P>!n_oVwm+XE~q=6&#5&!8RB)SQb~N$dKT(k8t_kB@GaN^!IK-H$X>|
zhDX5_5@dF7)V_PB4w;oAr|~5d`26aW$-aMnV_2g6qjiS_<!9-Gif1U$9^`*<E}R4}
zPy0#Vl~9F(g|>j>6{f&0zk^6t|8(>#-G~`ffcd$w>xUi9K<cibn_QV1D3Vq<?t96=
z4Z<(IUzKL?fGXtomoQa`5-|UxuugzY*I)tSj2Y-(apzg3SAj^yPkw_=LU4`w$adp|
z8SE8xuF~GC1V<7(+*SR#K+5W1uxXhYteE^%n{ZG7d&BtQu68=e=Fbhyb2S6Mq?zQe
zW^xdmSAF)p^%8d8Bb5F5nkm?j7C*5|$pB$O<YI2tXZ#kOdwIfDQxNx>6+5ye1uQ{N
z{wqmY!G*W${F=uoaM8x#yL~?atYeQgvszN2d&?=BC+#VqDpuG(@JI~qxCLb1(WFNK
zEFH6x)h5u^x7eKjMhFBWuetDiWkj#UKbh7knE)<JH%y@Bhbb4U1C{$(P|pUl1>rHk
zj=r#VMm#t4-Sn3nm}f;r>}}_)_yLaK+d0p^utOEG+?Hj84Hf&RMt)GhfN9IguxXbO
zcsl!T2|BW)p4d7z2~A_TxWq?CUqK5e8eI#vyxEakzO94HJ|m#v(eu4Dvx9j_m(^<T
zWk-};o~~aP41wcJy_1{c8kY3(Kyk<>8*1gWO>WLG00}FN$Fb%!*uf*3Dk&LkXtnb4
zJN@taFz;9jJ}bSLKJP}*sxce#Wp0bN6V``Id!JB@>7Qa@j|GaJOtT_Ro9$1SyB>I~
zN&A`q?7&lN>J{4ZSrN6`@BQ`_x^QepBKOqb2%aYScKSvrD{@hMF)+iY3p9;|o8j%V
z_|xt{j-S_AQS@BeRAhh-P&1FQdj>4y5$=?&u2fc}lfi!A<1cM6+{iN@P+7-gto^Q<
z4X~n~ods8ugW6zbec*g?>IQD$NufJz#fFB+@?#C3v|!3FJ+Px`8*jbwZszq*HYE0n
zb3>k@1s|kqwP;&+ag{?ovBg>JsAehjfn}{Gl+zrRyLOBkb!3sT*f<X4p>#o2*jf{o
zTN`7^A83$8&fKxLj+|(<rF1p3TLY}RdW6`d>CnZkgL@0NInfi}qGQt@8W5xHaEBv;
z9^F9<-+L>#5dFZWupqStuy4Qj8JgdN=4PTYC*rx$cqe<FW2QPhHDIOuaArgkk9Yf%
zLwL|P#p0=9Q*~HR54GSNWI{3HleyLRdC{$a<g?5RWRSf0(dUd03zF0;YBPDqhdA}x
z@|Cm5kYbt_b&ZP+P1F}2;`_~yT)&GDtB;dG^Rv(E{;%xlF+o#M?T8?{RpriZE=q<g
zoC9Ku_MGS%OZeyDE+KSesHw(noCLXQ3)!b^xsc)S6qTtfB1m#(X0x}P1bJDeR5i!B
z(KpZFBq@>@;u|$}y^%r!!rw8;kU$=!vD29Hl1&0_#8=js1(V?8+dw|5m%NDfw1!Df
z7y%WIzaFykB>@Z9uln;Vd??<Lwr?R(5^<h)``h48g44@>b6@NP&|>GqoSb4Qq@VNO
zlxQRgrWU2YEY%639gFO}!oP^fWOA;m;ROkhQ@)9loiMT$GZvo_kwL$0ORU`nNx+))
zW<z^L1eH$`Qh3hDq9+ym1M+3auo$NjDE~?fB{>%@HW$gEcYB{D9S$J_hwhqy^$iKM
zrTKvR9GwDcKEFSc_>bR&Y1VT877>t;<ERVys3HpMusBf>q7Elp-YB@elte;16Uh$G
zmC#)kX4h~94e(hUZW4Pfg?_ocP-~h{M#oePQqpEL;Pg!=pMm#8q&rwFY{#pLIv=ld
zg*Ix!IKOdOIg&<>Mv4h{rPR=e*-KPBwOVi}I!RHYQ3mChu9EoZNJueefm7|fHgI(=
z@3u6{qB7h2m8z#msPIP=q|)kw-r)kK$yzzoat99~q>#{cci|6pW_mD_=zV9WKprLU
z&F=jAl7xExMEO-D=>u<ot(oyn1r#2vG0>e#Le${qBCu!x`VkCjuQV0WLC@zY%qK|5
zOy3|v#l{F4?ehjb8x@hFS!ihffEwaz{=R6FWemAN{ps{NN~rPU!w|IsRg`H^vZFbU
z!J*zJw!r`;q?}rLyq2hfCcGD7JMIEJcrf(rzi1_N*sNJ(z)lHiDwXPovzdT+qfJzq
zw-VBizG3hSQ$Tx;Ms?o1VFG0uJ^^~7N=R;Lwa0{74s9+}v8Z&Lz_8e72E%kk<YvG>
zZ<Q;Ju5LH=e&VA*|8xlX<*Wj-@=c$qG?PL;-C>5~1{83qi?&$cRY0yQ5IfZ^fe7@D
zD%w^Q;Ct?%oh~GgNa2TaLL5cV4HLuuqZkD)eUp?B{nsyOcwCcRN&wyH&0~8-pa93}
zyEglF8MNjT_Uwrb4>H*A_m+9l1eE&sn`kFWqoChSpNHx=P&&&4uizpRXsT6}4&F~h
z8&lkd8SPByf!m!VAvY6X`g%;pi%trqTJp$=*V3UI?++!s;WUArr=wywYY0gCw#2?8
zF;qxFi>jfk1b~!$=D%es2{dT`DywJTCcayll~Upez-8Yk9{flY#nhHR?weo59o)v-
z45l&Y%8L~E;2?}@tn1Y8^)KT0FDn>sN@Gw<_!MqP7DVzh-PEjIGkDr@ImRE(#&G4M
zrWcDkKN<@kaGe>Pz+bB<2?sthf+6yENrvOR$U-^k=aI-U-1L}WIc>ioFpVbbZRK;L
z)=xH_Dlwz@l!5gFQwc+mzpppcEy;y=LJ0lguSf9<t_}Q^?go%lEle)G&4J<<soye{
zjp184MCa1C`tTx+0b*I$P`+WUa81wzu9_^K=uE2*{TkN6>jTVanlP6U*FJ^2M$)XH
zqk1rvH5*S}V??#1%h|bEvv{ZxW#Ri<UFa;(%`)E4fW*5m#6JDDfHS=#Oeb^cf|Q+~
zB=s;on(gXZntHy3FYG*_n)y!$A_7FqU0>57EqU05@D<$FK=&-(uMHY0M|=a`&?423
z*)N1c*6^wG?Wwz#+K|9$;1W7YgCvibNU%QqjSIvi(xsMbL09pY1Rir5bjF8+R;ytH
z=lx#Tb4^tXNNA*h@f$VLFS^l8!?}%%RlI3T&(#EuS(W0n5Nb5KxOr#i>R<d>$D`0i
zX-!z=sbX_FPK{FByNX+asE}ETDW~6a4M-ETH8*#lM%Ouq)Oo*9qpiap1}e%LU`Yv3
z&bmyEX5~uHHmlJhMxHWS(f8_b;PROsi9%}hb6@hjaULB~ehfrgvwwUC>ED`|XwdUp
z$>X~^dr)3sacNgK8BS){A-X#>sE~CI|M`mnJxaOB^~Hw_ZlNr{!bNFOo9XlJnLH-6
zBdl0t&-Bj^(}T^OI%rXx-8!vT91D7rb^1zTJ_&-MQh4fLzoTabD!S6ykWv+is=<~7
zw)#%v9U1gUbd!pApoIf@voFmaT~>p8?@yNV7w<tX-4khr{9GvP-tiJedo_rATW`EP
z#eh!uq-GVK;zr~p_p178Rrpe7e`D5^300hVeK)j*2c6-bT;SGL1*7dOj;|k?(O!33
zOIrgzB(gjHR<23~VuliKKlETlvq!!j*X-s;cKCRx%|R8Y`f$u6N{1a8KgG2i;sudt
z)WUJP-^xG}Hr2gHh!cGeSRb#vAdF5A>b>NBtqiwV=hTm>a3LZ6s^)!{MA3ni{;~Vl
zlmYkpsml2;2b-KVRdQ3r(Uh&0c&C#x2)11)33<YUIG-<(8Lkr0$H>y4+!M<1YU`cc
zE;S$WywpS^QYeYqo4Qk!e3fC}y=xb%Zt<f}n`$;pJ5tD_6`PnXREE05sO3+>g6KCk
zu5RNjjcT}aVuo2&AX+fw(PW1Z64n6i(heCEZXn*`^*{yO7Oi!o3q+8<il?acQ91O(
z?#oHcLKS919WN$ki6J_#`O%#zdGz16?-5QaY9Pv0#AHw+fqschyWPK|h(-)QWncOC
zCj`D4sr6bWAciL+b%s*P=#3~3|M_+jq*FdzZ{wFjfhLXIIh88NQiJ)zXeJpvv=}%)
zn-h^2_s(Rrg&OLR&wqf&s>3%!cH^7ZrBS@D$%x0loVumqE28#H0|GlmE>lWn5FKrx
zErpJZsv>4g&h=`7G4aG(pCwt;WPYcEJD!ZrCcJkv*VKkyF+r0PGV&-k?&n>>Z89SL
zC3>&F(gEG$dv9O1Q9zIHiH!spsUuEJHqU&D9{5kU?V30%qW1NtMs54mQBZP7%*h#j
zc#y-QUhklUEbp$Ln2=RRI)<zzJ&z4R|AO&uv79p6tCg|lSw}{k3hst82aSQk6SBGe
zMHxBzUz^R9CZpH?CA&`j#^BKv?cV*yD#(=2TvFVMgc=N%*=jxj;BTB1vwc<2&AoP6
zem<(mTyUYU?Wzf!x|lcIaX|$!iQf7aGNXj}f-0YQvQpr<;ohA^ITiHz@{OPXDFs9u
z&B?MIP67Az=)mYKWt97;h@h=3ix>;z^PUV*AbXhpZ1JEH%H&h_5R)dN&chduQUpzb
zx!%L7c2p5rKcgQgktQIPtxWk;RZ~zwIir6n6wu#?8%c`M!U#zzOfJZnLJQ#*=ZvR3
z`g0)vRiOqSTKq8opqAPcW>mKn7dK@Q@Wo0!aN<N|;dXL%pC}N=MSK(CFN3}<vF6F^
zF(PA|xpU$H6bO1D=g~b$M4tkayM`yJ5RGpk)l(4)I3%-986S~Cw@(ddK*AbsaY(Rf
z@tp}sISr)<HxZC`nW52;+yp+s)BZfk;-5ZN^tRHm;wU-Nb0JsdD=u*==-l;x|EW=^
zNvl-82%;gxRZKpr#SRF@A6PmIFzd|F^<+vAWeW;Tst@#Gk&kPBoEX7i%bJ1s-GLub
z?)%e6T8?7=_cXhDsWCvd?fy(lJm^mhbsx3&BsRlW8OR`G3=vRuyRC`~DcSh69j%|n
z>hHhmoZN2&0po#}yRUE{qEBL>?YkN5_3Beb_8W%4_v6FCt!5U~+AyZ(A3cLvnLPPW
z^wt29Gcc2i+l+`Im!NPrZW<f&zFz%pULRamcAcVP>CsKI;g7mIlUR&EVV5OYA7(Mp
zA)ZAV)UM}x|02}{cIL;B=U|{7kiytgZ)Z>;1CNW3;_*@JddNi$o6ovHm1KG$jJShO
z4VfP9JTi<$?(+?^64iw<LCJU5?{DC)v{z;R*8IdCy2T8|`0BvHZmS<_-s`ybg=_)o
zmR@Xtf~WO#Xam!K&bof@SMVQ&0yooEyD)*vRGO38+8{10?jh~Gguflj;Z~-!VLo=p
zn(sW;0-7uTjntRV<B|RiCl-SnF=GY~rfbYvP(v3`f!oaB`=n<jZcQRA_k&*5qaaPl
ze1x;>xKHAE-xJI6z&98(FZX^luK`BU<}cdT$MCyle-5nezlFU$cR>-kYXEDaCQaMo
z2!00hzsr)5k6+N(ryVq`4it-^pVXGac=+F_45^6<{5AUnlU5gX_(?PBn!7ZFtFpQZ
z=<3$tm9C=?pN^8Dia9mu)90V~gAi$s#JVQD_g??AA6{fw`0N^{M;gS3&vog?C4R&G
zZXHTKu}Xrv^gOJEWdQfMdE(st$`0J#Z;v|HZ4$7<xOV%2eq7w*<dW1-H-2HLHF=bi
z1VVGA&!U$5@G=8dxw9<2xa~d$EW|<$q>2x=FwXYj{D%I&BliyA@_gqW$X->2OIOSd
zX|((C9Hx2RTl<IbJoC2w@!2ZyJLH4-tLA>ZufX!7GSe`=q3iWBvridL#^tDI<qzP}
z9v=1veIt0jYB@7mP#GQ)4oFvj9mGHEN`L<Fc?@5xI=U=-TnUaddFkC18Nz+SJc+E|
zCveWDIX$;5MaW<5`#HKiglkxPoXcaG#$z`As<+Q6K<0dTY2w^3T%_w9+1Gm(=PTKs
zaKsd#wm#aZigg6nmyN1_vpbJ}qmK0cnIsRRKF9K@?MLy8qRk%}#uxG92L>o7mgGS5
zn82}n_!xfhX|l%|?`2##gQvIppd1{3IwQO1=mZ|`c&FeS|0*scB&oRjUKUuy$WI=N
zPvJCc6HD<^Yk0d=*i}(USy&wN<K+~X!H-&FgO*djaoIL8MWHwu(9Qhf``mmE=bvbA
zU=Z2F?f04RQqjqPp#(d<<?999xg(j%>CQHuo@bpudR-d+yB0HyD=*>02Z<wYO1n6f
zx?=U{CJ|ch8+<p*S;isI?29K0H99hRHB#{=5yG+$+7y|s;tZZo^l5TwQ2p5!xrIGM
z5G2=*jI*!fzOtu|M|jgAW6^@78%a{&0Q+|h8UNr1?|pgXae5Exo*z7=ttbVhI{4}>
ztxa4rTFLEp1S4|)$;O;mF9}tad=0zl+qko_8Z}{p8SP&j3?+F;!bJvIrBst${9AUK
zH%k~BTKb1e&D@gkIK1+MGe0%D^iD0hR)Z5k#KBVgPXxH<@LbvSEe(3ZxYUr}^p88P
z{davjlmKE8>+OdF=uk7?$f2$%9z;&(sMxR}KwrDSPNVl8q~%QV6%OD-M@L!Pw21`x
zU3(~<l*oweUA(7)k_FI0&6sH^BLQCJOzpX_!i>n=0r&W(g^)>|Mh7(&0ltmcub0QN
zp(~s*x@`WUD0f{%m&i(h;|_WZ);gSs@vq;nvnCR#Pb=a~J&6F`*$#hu{>>-sF2s9Q
zRub(#y7k5K3IW=>_P)Oy#)I4*hPg|&NFj%+jJd%s0vwW|GhFrLL+t~Y)#^iOlo)rF
zE!#yB{;dDh6uBmV1Q-QCDnb@@d-g<?h)O|ErrDx>r4ZVfV38k4kw<5JZ8(5~2yM8Y
zQ;4!CD)L|G?D?#Sf{&^Hy-AS<*9O|{kFDZp?NMNH6Q2sIFixm>hGZb1dLlHWoq!yK
zk5qT~tD)VIy7Lbc<-l^#T=am$Ki;aFKI5}YLhtn~gJK#L;CtxfRF`=o8V``LydtNL
zZa7T;vhY#{j~dx3|1=rYY-inu4r-vrR2mxQU^UR+w7K^5upBz~WF)xKO%nw;=iN)W
zO9qnz1vHy{3g}_U_XsZsEp#Hp;PlH_4Oss6V*E^(B1)ysk{;mHMpU-ayM^sqkg<2_
zkY9u{x~zHf)o!>pqDhtXNVV35GjVdqo{FoYrsH;{o6oh;Cr|&og8z8N=gf*iO0*iv
zd~s7%;EXoP-Rk@*_tXfg3w}>BIFk_5eTU+$S6b-a(;yLDWdQ2kUW=`E61u*vX)qbC
zi6UM1#MlR#faTeb9p{9}D80o~{lbzu67KW<zLHOYFP9z{KUVw4XDSySi)@h)v#@im
ze~~FPGN!#$<shR^A$e4num0me{qWRxx6R;`>!{eNG7{1?8plKu<PqK11g3NR=J2`h
z&R1I%63RI6#78Zbh#t*Z6wrE`gZ*g!lb2(vsN{olwBJ54L~N(0)Z8%#k@so&BN8e|
z!d+3lmy;J=$m6VPbvFl>$chpfVI_2<;s9~>KL*tBcfCkk#2lVCjj82~%Oi2|z>AcD
zCA`0MPq@WPGq~jcYV%x*EV7G;_SLuV#TWv&sZL6pK|NPEFTasA5^`#<4+-4FY%OWK
zy6>5SOniT^!nh=wdTkyj!9@>IVtbbF&ryJraz16(Py&(PnBv}aEKq*={(OQB1q9}+
zlCBR5Bif~cpqNt}5b%OA)1=S@PIrnpj#u*|Iqa|LU3D&K7^qSS<TC;7`qj|#5pKk|
zXm!6!jT?Mfu6&&c1$csZe{kfpqbFv?cuYMvyl^p<D_X@MiF$O-hxqS)Bjdifvh#op
znDNan8G}M|qP&+T4f5`fwZ;iNpvTZ4$FXY!4=5)77hZ1QW6$Of?)<CY$-MGjRm2EX
z7i5%%sTT3WOOa(`6Wox{;%F^rZV0l<#q?_y1Ne%9la4|uH~1VsXZq=y0Z^UL5)R79
zzydc7?vI9X1Nji0;%K!#_>0@0xL7lQeLQpNm*5F*sGVROy2`8%nha7!mtAJC8#=nX
ze1_aGkwBD-I;{sIPl&?lb}QI>@gm(WWp1Dx)t5hw>%u^HNtwFaAFR7(`?fiW8>-to
zm+WPA;hSR}tu5^iR;PSbDaw)?$`&nbe<kX`Goi&1-ApP7e#khh;?E6*QJg>Xn03JD
zbNacni8OHK&5N0R)!e`w@|y2#gf@8oDvOHtqyy!nhaHPVc)*K(#%-8c8>m)DV&`S|
z!1?<U%}WV9pvb;5!jYr}Idc+ig6$08LNEC74v`mVBI4bqWVB#WjJ1UODii#H%CC)I
zd0~=SOF6h&6G}eOtXXle0A1ei^8yKca5jgZ=g$dE=uzGJqxzB+cxb)n@k{(r$Q`8}
zL9Geh99+a|TXyKB)$HZ*5`YwiQF^~Z4RHBE7az980Sr=t+ox{|LdEoQp~P7YAWRRd
zob2O-J)V1P=U)lIc|vXLvV;a$+df#}`^W`ajLL<pe}tj#UFy**W9mSc;Mh`B%nkex
zH4Y>?i^AyqcBu9{b=V`vAz$}~2lx~AlzjRn2Fv8>y19GmKy$*#y}Ftg4ye4N-G560
z@NwVJQ<u~s-A+4wpob5hC)AL>rW1gv?33>qXLWc!ydt1QCjf^k@`VTPNP_;0n~sae
z)!~Sicl{#}1Pj-CZlNG4xL0xL1*fYze5Y)2zKRio{{a91|NjhEcR1B=9JRAEviH8O
z>vHY=J+4tkD$y2|sD#pxq!bcKA)}%pBTXwA>3$_?$jT@o8Bu<fWJiAfdY|X>eBSpx
z&-0$oIq%_$dp#9=Tn%}HzQ%pw2A~v-I~4zvMZv@L%DvI*2oIZn7=POUrJvv0UiXp5
z_MsKL;%OS#w{L`D-)(@{4#uVF0R_0;K4Cp_UlX+rkGlyiLrho<>AVb8g8p88o|-x>
zs4?z~-HtIt>VYT&;({{9s0TMZ>!#qcm)GaRGltlB=+3T5Ulr)Nq#0WO(1z5lY|Xex
zBdm%X);MpgiiMv)Hn;qy;vy|E-CxldueB}L%d4n?fBw#Hmq8uaxZiB1w;IEBxFmKx
zyE?@79E@nJra?nEzTxmS6D$)X%=|v9V=Gsn-|SIcjQOjc)eJMm1GzFa$#M;>d)=(A
z$xDaR@c#0>d(Gf=v81yiRukF<DK~2N(!tfRJ|%juIruW)cCU8Ug5}BkJe8N}z^;3<
zO-C%S`DW|=i+{E7^@bte;u$((eQ0tOah5RD`_!PCPJtR-IfGxH4&9AK#T_@SAaBUw
zz>?O6{qLzt-z&NZJlT}9qSzXx;oWQfPiSK-=fR*Ti-xrW-YQcSHc)MlDZTkj8#6X^
z->%y_s9Sr6ZM2ZU!N*yH_q(+rGgSF?>uM@GQ}>r{TD1hr=0H?sn>Kbf?0^5MmVz@D
z!XLW}fD&rZUH&|6cwd<r`6#M|Oo`sz<Qzcp+Y!UPP8&~xt#<6U(?EZ0<LEwfTMR$D
z6l~c^foST6XQ8{*(6li{gMGIxv=7~rbGM`*P~(q!SF{Rx_kPga6JZOr?h9p~BelS0
zTl>;+s}d?c$jh5W*`ni<Ij`9gKU9OX^LyLm@M9-`@U2i=u=*)~^q*_MHOC;lKUNxT
zalY?XZL>wAldJY%y*k2_71!-QErAzIx|NclE%pp}pFQ+k4esm{J5Aq+p+9$ex#d5=
zdK&xN%2e^8O3iV|PXw3AtErD!fP8(IKyHBw?xZ@u<17+H&VOyMFNOh+Bn#PvZYX0$
zRO$Uj3qAx5$P3@l1&&w>-gh@v!u-SiTT*uLz|fZ4fU}A~@=j(aH=%$VH-qC2$Z<h^
zQ@)y^1OXpWvnV+qIUH7$EpFPv0UPDIO4<E3IQt>ddV8h}61vVvREx6X+%j9K^qQsj
z{W!cYX-W#-*Tkd=12zn;*)*;qWsPQ^HNP$#kOV74?0JvZBGHxecJgze6`Io`89N0e
z&~$A})$^%;MC<pOz(+4Fabdfl_@R1nD9@`&v`8-!2gjS}CaRWbR3;@dbHot$ZfDNE
z!bL*Tt()s-qy^aC)gE4*Es97_*M=P%*zmlx#!GL&91%X1LHR5Zm^a7geqUsRP5Wkb
z3nz12-Pra-eR?^(ZR3~<P3(AIr}N#a#0=?z)BSk`!pM|&TRh3)z?m~IFK<yX!`sdq
z=d3OZ!P}{|v+x}!zEaKJJxnphl`o<Zj-`S)+28PK-82`LNf#Yh$8U-wmyTwdEE7Zn
zD^RrGf(LUq8?83SnBb~cf<<<`0Gg9twdJKR!%_5n@8L3m^E!Q}wN?VCYl(A965>P2
z-YrA3=Zx_$bhgb-cBy{xii1`bKh_@7t$HhJjNAFL0kx_EIMT7wEoi0S(th5+&>Kde
zpNJXt@({r4J5!X8Lc&Pk+i_3JzzBPGq?rDAAb_bpn+22c<*+$(N^<!dLl_PP$)wW-
zK@^p-x&IY`OpZw6UVlTJ`qXr<p<NK^LL+CYg~f2Qe9P4cenYsqRUTe-TL|H9$=SD!
z#F2bq^;A}g0R}fstrbWY#-{CU{ab=oU^aiuMrW4+j=kwI+f=k1%>|EH%xVdI*xdX&
zRmK3Vv3+|shKYb<b!SnfsuYOZIXAsK85q6rz@uMR6vY!Nx20}M<C&0rreYQYA41Fy
zKARGSLs5xix``|#ow<`w1~5Po+RYx^CWd9f&gE-|<zSe0I?B$DfqCi2)n}IY<NndA
zN~J^r^UsGLxM(nNt@F4^Lh}kVdL?{Izp8`)waN8KVhnIdZ;zKAlfdZ4<H_F}l_4^?
zl8YwDz{|{7#T-p3MAKw9nD(lGl6YKboj3!Lnd{ju9G1rWPNv@NIaRnig+FoEW<c>k
zM+Qfi3^tZMWYbeqN1D5Tb=DdNoV1mF$2Z6!f8DA8_YE4LUv2j-jb%VI@xYPa-{qln
z)!3mgNfW2$Xd#;K8MuCSyh=4y5!Vc=UwmuT!pq1fsxgKJs6YHzNr<Y9!zXu3XG>^f
z(y`0c{jLE%9$%R56;r|K{z`5KPb&N)IzN0fGlVnS;k0B<RrD2C(zz0JQ1bH4qHmue
z24zG8td?*yZ9kPP7Sk{?y4@)BmJtGvX|D{JP=m+mYhTtp*99MM_-2O_OFX=!w@u-f
zI#$or=xP=%>HqfcY~}|{5GCIIrt+%>M1GoG5jd&`ny*1?Yq%*+a6WR7?$m_%_OO(j
zocj3ox282R(+t@*N?y@bTF{Sm5XjcmM|g&G+sQ_AC@J5n{*p+6N?ynI3L||)oUhyU
zO3)I^R_^F%a?!@x_RYq=68cc%bSPI_XNCMrva?_Q)5g?I<x@AV>S6pOPr1uwYfu#D
z#0U0M@!-LleLJ7f5ou`6Yt?82%eU7DRqCmr<OO+&MCoGxwkPUYQv@Q6{oGm8RHTwb
zSU4vQE|!hVoHIaTp$Yr+Un)+v1`F#lsStWXoC}x*ZcJ>>-`q+C&+!GWZ!Q#ARMZJx
zUea@0eT$6W$Ek2(9}N7cr-@Ys+iZplY;peDwzaO)+7L3c_;viB8fezJp!V4!?|cs7
z@2rhGC&&4MUa3H_Gvu4*qAiw<of|%Vi~@}zOXIs1N;u^eUvO<169GXpZCz)zAR8I1
zSSKNeXnX4|l7DS6bA0zE?{G~NDjM$hHj~2Xn7AJD)6)4`bL56?8fdk>Y~N5U4)x8n
zYOVXWNRfZ*DypxJS<{sP!52l~`pqSjBiI%+kKxs~=2fBm`uU@+c>)-HV!xeJ%NFb&
z^G~wtRp92ih76qNLE!Y`xZ)0=v*q!3u{33P#JsGXk>SMgHn$m%NI){Ih4bJCMdas|
zuy+nF5<R*F%AYlWZ})7*46e!J=^-0gm(e*wEGuW>OA-OwZT%v1VX}Dg)$F*5+B6~E
zZLp@e-3I&_63zb|lLmdKuH{<)3BtNK;Decr4b0B<EgQWmiQ?evKjc!zi7l48J&Rt}
zAZ`jKlzmx&v_`k%ZqdJq{0mw<lw2!(@>ncWbQ6b7>r>exx!;6lvV3^NFH3MoIDFUX
z6UDZ6_s^NuzlogQ=|Az-mY~P&>RpvC0`8=WU6j_}glhX0@w*o-aIa(Wb@QMwHq@0_
zE7pw@otxczMZTIZeUGZESN91b$?siBBliTs;T{y+4RidNR<>+Z5P%-f3zN5JCyD;N
zEE}1dW^kt)A8WtD2U@|lfHdoAV#}(Nn_qL9p-4AuN5fiPc-=J)U#mJxyvw1?j0Bh>
zso!r>g;)mXO#oy-o4>n$`s)297T?ht4t_8}wfM_tzDxdHcrP!|ddC7$+sW_c<z#}@
z9QoTflyajZ+j-C5$BV>pD(y+$Gh+x3MT^cEapO{I)7wl*b}YAS$Z;_<M!m$Sz>PjG
zyw|U9{l1F>me=JnSC<)~CsOI?a48pdEtBc%tK|gG*Z!ztGb6C^-!5x-#D$T$&R0K8
zxe>1R%s+-@h+(<M*|(awAXGs9{9eNY)#tPHPG>`KI^>Cqi*v)VGjfc}mls2v=Y3gS
z259-~xk@XH8>T7Q&nlJqu|qUe&MVje*-pH^R_r`r++Rp+niIe(^G`FKyas5@|LDkb
zj|XAuQ%d%eLSR<y3)qp*Kw7HX$oZqoaD?giF`rKa8MU5LCN2y_$DVRhU%JnR{l<A3
zO%#7;Mo!$A(8u-08umkn`EaTv^W5|<F)U`B|2%nH9~r|#p1ybZv0;;P?&qa>QOa#N
zn7vsa%8}R0DC~l$FBU#nCo6$f&DUP5Na~|V>P4Vlq!8F|$G$wDC5ghaJr+WxdT>u%
zucNHB9IrUl*o3X6;mYP7KkK50{Bxbr-@-+Z{mxfj{I3iy{Yw6mF-b>=qA64DxF~X)
zcTQV<lta<gxr0^3bbKrx-R^Wz3>W!}bH_g@Ku72B-q092-h3&{+y7J?-NLbb_J5U7
z%a*OLe}IlV{OdPna7f@%9JO$_vI;zChaX=%LWi5Mm0I0SNzgjQ*sDEM@vT^6@5>B2
zB%5bPU-d}gm2m4OldEb-5V*f?MGqaxTtZiwhh-2G8d2D`r1y&lPCT=A)WfzpkMPr)
za`^hsXJ&N0Cd`l77dm{<Lt$ay9sdb=e98QLWTsXN6S5BVB`*3{HN8S(Wsf4nx>RdJ
zth5n-#OJ|$tv+~t<-c|ZD<gZu@7nBgDg@Lo=O}GtAmdl6XXObM9O7#8I$}VBUxZSp
z<T8ULAFNVMNKwU6x9YSl*}Ax%ShW3oy8#x97IoQ*)e!c!_O0O}9ir*~j@_y?gmCI?
zmO#5YYDS|wbd~fW;q<zqvc(Af`#;KloYBC$_XlFX73kyr$h~^~MPuY%{9(b8*1}O`
zo%e1s3|tycB88kyakjH+o1Gp7o8&!M_xu<b?7Y19%|kQjpNsX<HPHt38pR^&JOj6V
z<XjXe77(<lUs0$@#aD{@kjR-O{&n5@GyKpJIf^zjcV?-mGFGeTbzq<{Ouu-Ig*DEW
zw&zae>tJi$u+O$OeFXGyFBc?j5P$XV-hL_#g|y|^x#W*JlF8PgvcMB}$D+$8Xz(?0
zpAyceBb5-eZ+r<Xo;z{nTm}u+!54V<Ev^4OoY#Epy_8>uf{%@b)6oBilxVS`qO84g
zW#*Fa)X|>!Eojhi=z@aA+J{;wTIqUO){%*?iJRa2OV_~_s3UMe9cPCH59%c{Azraz
zk4HNd{O(09Zg#3@wT|H1R?dW`<~}c@0c~_9iu1qIQ9?_7?3tuGCQLooPPx9Kz=qE*
zqFzK6*UZdHW}h%YNgmN&lc0scn-(0F9um0x@PbQTG84CaH=j9Rs)_!s8$3k>MG+8_
zrfa;JiJ%ttL*p&#7+~<a*2MEe`<KgH=yE2mo;$jta+ezXqFE14@pC~mG=GbBg)P1~
zcdc0bqXKK&#_tZ41>%Ro?T?Q)+d{1O`2H1f$`HGLY%<hnf~fV~aZ_djD2NuTNm;9i
z=vVEZ*Q$IcPOSH2Z;1!w>R$X;cTWxuNdr5)=)FXwc2iTQ(o+9r%}{Hq3>5DxY43}A
zOT_h-zuLW*z(0{q|I(Tz@pPH$6?T_f#H_F<*WzUx+>4l+s=c)WRL9`mxrvWi0b9tm
z{4cCwrhm?R)eSM6J9wvbw`DEs&+|j2iPKhydde<&{Iv*LTkO(Ktb55imcjo}N8bvw
zd#mEY31K)Tux!?9*0EmO@0~OXvP8!2mi!1?0dSIbW;yprmiN{U(bq*5;B(^}uubKK
zwN{i4-Lr(nC~cVTpEC!Ahq21jga?sRdhi}N#wzA}V(Y(@gT(eWwzVj6;Zg`u$u(0<
zn7(yj>1LV1lASvz!<7Ts0b|r}<u8a5(JOMiQ>GBL{%#-ngblw1-WIQ4*G#MpI_CUx
zy(#ufMs56E_K(oAxTsSa*+Jajro7&~%mgEp^kc66^F+^xidRf$H(~AZV%$i<1Py_=
zs=ptdBN(qLUoOl2LS*Z79J#cVcYX)?{kNuPhS;O(@_YTaLE`1+6U((`j3DTq*;bW2
zO&FwHPI56DA=X={40Hw<L63hT-|*5Dks37lDLrMB7!0{P7&Bl9W@)-_Ow%Ocdg1Qs
z*ndBXdk-D&NO>D#i`27^jxLi#PuK6<KAYdf>SjBG&|U*nj~`5E`8Pp)Ri(Ja2>c-$
zngUvqb{ODOuf{p6uM@=8Vp(Rw$OJL3wU2+(2m|CppFbW;{R|clv;5-}p}NB|qdJ6v
z03v2Zn*AhkCinI}?SUCWy_<-xU}GTo@wBVTlSv|&dpFxgzQ2UY;(r?*ll77Phx1^W
z#}skA{1czhx&<QfGXK7vT1)z=%y@NQewy%QeG&;|EfP{E&!s3w>fz49`qBS{X9&ly
z4=ZM9>`)Mxx%{x4j*Zd7*`qqM#FwMrwwb4Jz=LDmo^vz0xZSJyA@}eck;nJbG+lxV
zo(q~5ZG<j<ml9c7-~SSO1|v`UKjDVN!raiyL>kz4cG-QnxIheZjL({%Sca_GKS%P0
zbPyzOy}!qAk>I=cL$Sx754XyrRNmR^fO`Gu;jI;HsCUmS+i_9=XEgmk-@i{q?ZI2O
zk9}eXS?P06;e`-tt@mWVS6I^fswmG!IZoIwr<8RliXb6PVCz_hHs-kmKIWa^LMb!y
z%5118RHG8RJ}7GA_63`fL^dAy%-y)fHztOLl`l#!6;i;tqRG+o?lS1Nq|85#TY>XM
zcdgg0q2T%u&u+d5K3Hyu6??IAX)aUhs*>lmFm6>FF%vF;pTaMOxOAlvW>@)HvQi7t
z3mZ<}xhsT)3v<B^R<f9De|LH!P75=d@}vGdB6wFU7-4oy9{0HppU(->f*f<lIra6T
z_>cE9ebay<iq+1(ULK$YFVoHYBCEyF-ZLA~%Th*%w5~?h87+JoRd5bkxdI8MS6dHh
zsiJ$b(~qdof@*Wb*xPXl^k-B(s=lL!mF`hmr^P84`aHJiTqA|~D-R!q*lD1;zH}rZ
zje=0xWUPCs3>Jq~Zih~3;_X%U{q$AZaQR$6)7c=0kg@8ZEEWZQ4*#utO{YTUO`H;4
zKoR%Ko|Uh^MnzHMSPijG2kqlqF8P`&Ln3#zp?fq99PTZ5o|n-OKbjHu_qYnq1^Iok
zIz&hDg<Vroesr{1oAA{)s=}75q)0<gA42>b$8Q<xgB>MIr==V*%1KH^$}=##{dupa
zHv^k9yyJgd)4&C;ZyM}#3<!vAT47gi04vAThdqK?s4x^6%y?!1c_IGepKOevyY-Ok
zmlG7!J11Y@^D%_b3p<}nzm0KR<YLpBL2bNps*T+6-Vj`m!;;ZpisW?+M<oj#d?I@k
zj|v&V(mvx^RlPabPt$B=57Y4Txo^88mk~l1J|7JGXo=tae{<|(b#d#8fM@w5LloS+
zVv_gA8rsFqLkIWJ@$`ClJCA@N-rT<x-^u|rcl0Fl2<hR!(^(7eB@FPn>xyLjKR{0~
zD5Whx4>`7Z<Go9M{XTF|BWJ)CPv(ESOh+u$cRgC=kVD6736E8A1x%>&wRR>FdeGUh
z@zP;49elP|cD8e}!=XcxREt77;&Y5cDDhh8++mSr{LBuMH8ulg?{(p$Tan;Ks$n?Q
zkA9ZN9vkznsp~$XA?e7Yq<J=FTxySDs;Sw-ok%zryIKdQRYsyaK1qY`SFHCwDSI?u
zXgN|=p^ZtKYU3t5F}z4i@`xL;L!ac3u>~6i?>20mS^kU{-z?ZSJ<GJiwbO|jEL}}l
z?Vi<;=UpJ&`EfAQ!VWj*Ee>pQQ%7a^ZMjz|!^HIB5yu0snCMfuVKTa3755$8dQMe6
zXPNO0{e17j#4+1H^rmEG2p0BOJk%X!nHyzh9eQmG*EH#E%!>*Ldc*m7yZsdFC1ZZ}
zue~iAXbL+bRAsS^?fMtJ%6Zm(;#sa{4dCO@b>rEvBtkW=h)UdLBX_3+O@1JN$(Is|
zX9mTg5Zbz3(3pcH)H`ESqX`UjJifw`6GgH`*IQ9dPLeHokL|W(n<c;W<S3FCLi$40
zvB;a8WLq?~DX+j9U49x{B|>>I8yHYj@|=^rzxJN?#Wz+^UB>dxWpW{{#+jy_$4Tzk
zEpg(*#1eo0@xO@;V?!S$pzMn`Cz-;nAuCR?M8fqFJtyrsVqe$Rh%aoMr0X^st!$SC
z;`%?QT1rn4xl>G+sx%H#B%xV?k#COG8%3X0Z~sBCTmqYAXdL8$UDFq)ew#r#M8s>j
zYJfO>Tj&<?nw>mlO;?JtGsDhRV{xxncMz^8gjXIv%ubH3A&>f8Geuh*#jALsiijyY
zq8@9&PO>M}q-)NapqL|F+O(#U)x6cm<vR~M`8O?z6~4^`q?P#lk-1h@kvNB`*#sN8
zDZn~Wyv`Vr5grT$$zIl&T2<ltc{Z|k!)(U`17noiy}=imL6#7sW%Vs(c5*;}`xc2@
zBV7KY?E8xxVXaT)9b@cV!s%?0q9|{K)}pHRJrX}ywA)X!hHBW!?D+HtdFh5Q&NS}#
zO&w#+`7C~o1qb=u4W-FahTy(75E&Ua&f3|%^ZVCc4)PdtaklZA0Zc+RFjogpuwt70
zMuxID$w`3^EH`xnY%1@QJL)#YDxAB?NI1zwo+wC_5-eii<Vyc{D)brF^KLy^(KFnn
z&fsNsUM2&lTJ#e6B<5K4$v;jE74VQHbLw@@o%%5R>#BQ^Z=NOkwBNjHdKp>rwL5C?
zfIjriGdH!0{$o*pDJ{eY@{w0xT;=;ItPl5W`ksCnHqz?+{Sz5N0%TF`i*oT@dT{F5
zegC=zJIQzaiPe!VK~hhpNabx29j9|{+~5l0ASa^E*RyvDlWO0U-XG<sW3=tA>c28h
zas##Hl1Y>ZN%3(`x)Z32wq?d%r=+>bp9!3TGG(G<v$M^NcsC6)eIK4Cr1Fr;X4<2?
zJmO@O|M;hr4K#Eroh~I9yrhaH*9q<;D@dvFs!07_9XuqNGp~R0kp(g-9Gcvcq)^y=
zh2~)$*vMvd9c>XHr5)<#FP2M@?RxA}zhrd4Z<FnQw_AveV!lb(n<PUH^L=5sv{13C
zCO-Bjp9pDtfqUv@k{lWSGUTaaCKcCG75$y9MaipeKD|j*3Z%<(=OpI{DwG0Z*l6)$
zq~IBruMw{@X~pI>q8duYI}U2?>Tz*$|E1=b%2g`lv9lu^`7cnB+_XN{BUFME=;O`3
zdP9}e`EmbZ@pCFN;z*lkvQi{9W20-9pgMU#L&DZsUI#|AfyQrpq{%eKIqT6x4f1V<
zj?u~MI_Mf$HSAL(OL~(hJ-gMlNV!Yf+d|xEun<fO8>*8hhZj`5p1q}zHwvo@iy68Y
zJ{Tw^KB`Dk^*482K1C%tKli5yxzQ2eFB<eEU775?Cz;S@K_fF<D;0JX=z(8F_EYC8
z6;i(ZW{lF5F8Ma3xvU^ZA7sVKpesCTBpNjb`0nVD#y*Gk?76~#LGWnuNjG)UuSRc6
zShhZSxhnsBeW?L%Nq*h;EmMO$Jfh+l>CGTF)mrbkGi?Y}DSm0~ADX1lhu3OUP6JY#
zPS;A<VT@n8jqH2ODP-w+v_6kEARliIaL^nxL2yOh=)L3Gq)){*iuET0l6v#??}_VX
z*t+(n&96ID(&Kw_QqzI~>7?|uZ`{uUUtbEDZmH5C`@KibR1X@E<L`SLkJ(t^<HZ7v
zn|ElWTPIW1Cf<M)jCi5tCu4)Ga6gYoe_e9=b<NFPqYQF&kLCXCZv?*Rm1XbxrAuyk
z?<v>K%OLmVKA2o+0_-29X7QTS$;O(d<<A@S$opC1VRzGPA+c#kv^GH}b%y3jb}H$T
z;*Xx5TCine;-gpu*P<@@&U+|CK%Pn_ZJk~d*1*KUvApk(j_H!>yn~tI{hFk-()QAm
z26m9XW6+`Vh(-!_?<?m_QX?O4DB(yAu>*fazX$D(4jIz@CH&z^W%A<AE1m%t?2xl=
zj4d~SN?!dr7Dcg>CH02-64GMqFl}P|M2l0K?0cU-HnMjGx!OI)O~Km^HI^!y>0w%A
zdzV8B*GgfMgU?fHRM8HU@sT6`A2djrogF+a+}xyXUgtNvH%v5txZozEqfV~!JP`KH
zYK|rP>-HU2KPG&rX;<@)tCGIdRYLys@2u~~%1@U}+rq!BZX8X@Wa0Qg=dR1OEIFqd
zi|{kHs5w~l&(~X#%yHMrdQj9!80zyp8sf9X?i>5F%b9ZIVDtyq^z;#e{o!7#qnCho
zV~3LwYo*D*D)!a^lVe0s#hxKfX&@nH_bo=E1nJ;icIG8xg79?ObTZ$LfKQU6uF9eq
zdESUwb<KW?IDOFjzW^^AoZ}BWz{(LJ=lu19e(#$m-pm}L+nuxqW$jT_wts@;wMi*e
zy{>73Z=ci9l{_o_jgCI;DZ@t&^i~Q@v!)3qCuK)ehb59jts-30xk>$x+xQ}w(}dQ(
zWn3SHEOFXnZc9iA2dTQK*ROecicmOKd~cnr1@;`vEn;_CWNFQQ`n)!Ek{H{}u{$}*
z97f~Q1%a#QSX~@3{t77*#QwjJ>&$!1z-6;#pY`A*tFJzxpNRiM%**{S8m60J*ZSU=
zxW(TrM#$es6=%l@r}h{t;;bp6_023!sr_KJIDQR`PWnw8+BjGLqu&Hp#XVjXa>J}~
zl~Y|>MPtPO00030{|uLRG}V6?$L+oM%(|{?UDvhe_c0Sn6sd@0q!g8vQqm%`L_{(Q
zA)@q)<ogjJE2WSkGRmIW<LBS^dCupY=Q*GAe!btK=ErIC&9&iu=8%fwr$OB2JRctX
zbq3q+Nwrfb(t`5%Kk?7@_TpnwKfV@RoyJZMkUFVCTHs83bbDUx3%-l9>_&sn6xMTu
zGw1$IO<37TxocJP0T*{Nc|emeiTS5RO-in6K;WI2im=`?Jkc)3=g`swws2ZZ{%L>)
zgwn*GwwX!77WSVQpv#=VMxyWNGfq-LRr`31%cV-}gyVs-hMN;u^2oUfiPKcb(@Ucr
zU~0fRE8Nz!o=;#&w+6M^r_^CXDvL`px*e-a7j+urpTxc}|M|UnK^=aLMOv5WbYej{
z$)BH9PGU>>@+wK26!`tzI?-^p3wt&?&Y6@sg++4+UJSWI0aCqX&(Ev9n4?%%D7kJL
z<GSsko+3s87cS8oMN56yz_;t!<^r?W;4VM&%A;yvmVRfYrfdK^ClzQU_jeX!;7}O5
z5JiUTqrX3MpZbltj0+nb>Yu}^e_Q$(zf}d#k5%doO2b%W>;wB_EAv?F;Yamb3o0;F
zarGJh+6eZW<%5)v?jqI@brl{{RbaR-HhsD854Lu2U&{N(|F9#4d^KDl%3$W0E$aMp
z47<J&7$87h#-t*f>`iKwz$5#9k?8samU-Syf-=8?v79)wMB!Be=O@AxZJ5S_9+#3U
zhSo4Ofd>D6Z$%Kw&AmD1Jd53<m5yj&+r*YSZg@DnCqcq*_S4EmbJ&-g1q}Rt+t_X=
z_o7TW5(LJoxM5-o*qf4=5`QLI;J5Ok9k`<a_m9L4R6bk8%<}?Sqb}0HYfYHPR*0||
zBQ)#px`YMZx}x%sj{)rEZLF716G2Pf{pB^i70mpQO_bF)MyNksu(^L!9)e^#rMyhn
zFd=ul?&J^5;ALD?^xQ`tvN(92%wFEW636Iu#{aMa-=bdc?O6g0hN)F}O>be*`)95Q
zn{WV0B%A%>H3EqICmLncP6IBsC(K;BxWIzerVA4%KzwtT`b$eXIKg(`wY-Z5dOLHK
z8f)ahDq}ljeuy4!KBzMwc=G|r?Db{x89A7k@;AzU#t1XpE~r*Q05}>yxpgVXfq-IT
zPf0p6=!<BCE^Z1!dJ5Z1pIKQbDyMTlSi=edyU$rza*9C0P4<JMO|rmJG_TJm!~y!5
zw>b9i6N9i(&u29+Wx?pR@X)h-E^s)~p_)}M0fUilf;~HW${;6&wVDS`MewMlT#$mJ
zH_K2#t1LVbO8i2#<b$`f56B{FG7yv2S!PWq2i~6<^?xt&gX!M&h7)zN;K*A@zI#{>
zXeZxKr8EmdKuM78kq`p#{+TV6=#hg*QC?oTABCZ>xaGu@H4(CZ`V^nKK>(-K`7cb1
zqA=rf*n!oE1YV-cgg!5MP>I?o(YKL+eXZjix;9Es>X0h>>IM-;*iAmnecA<+i7cPA
z&#6FQl-%6xm;&S)96UXQq@nLhfJ8t68GcS^C5k>)gu$T$fBn>C;Uj<Om3J2?u>Fay
zvHiI+40cRXOUmTH>~MxhQ=&Q~t1T6hq{wi7MrJ(9Tpm(w)K|H3sc_{DlY@6S1=L40
zdA){+5V^ISZI-1031+imKV+#uJI#J?;Wi24qpWR+mo>rZT}seV8cmqB{oqEUqy#b_
z?x+1EX#vB%;Y%L;+K|p$74Cs612e~JOa22bc-V3`;i;o8T#}ZK5;If<ZGl_AnX0s)
zcXPSZt6Cr4|0^9Vy+?*`W3|a}T?@L3>AhrhjiAR$@^1GlHQ?`*Bx;On0+lA&um2SW
z_VM2?QmuFP>~Nx$pU?m>iFeNAGy%^zUMc;16qxyTOj|RW3Uj;Pt1By-!a=o7eW&LX
z_>ul&_j)@8)~EOB$jF$%eY7&DkxGHe)Uu~~8LB{Bd1rlc!VE5UUzKXGrvOvKoR77E
zA~g8%Ew4nF14*Lo$KTg#@LC>Ep)DnVjP0-O?0$2=?`@gUo+pFQ#NlLKWobxC&}h<N
zv;ekz+c5h96;Lu5ddc}#7?c!LtGQOqq3gr#9914=ICAcv*l-~?L=Dd@>(!dW^N#`%
z=Xn)j=1!HzSTQYRG=vXe-sX_!5%|P#kqBK=!!P8jN3qe`eXn`u%m6nUXZ+kqfcNF?
z^fW?)cuMQ4koYMxAo9?>{gfsPr_XUjUQbxTeK$W%l=YZG<)sTp{tJ?Z>HBs4H8<!`
zutmmIWNHc}dkWZ2e3XDL)9Y7$X)&WmO>EvZ#U{WKH*8D&Ap-VJL)`jlZ0J`@KvBD>
z3D}hrM)oTS0(e;cqMzhIYq*`uQVf9S?wcH!t9fBGDiLGw;X+M)f$xqm03532QY$5K
zLbYpScYz@{`mnFz{VEd%|7l9T6!ByRBT8G<o>XphhW;f-FP|~Y-6(T;tw0C6PfKrV
zWpbn7;^TY&C>z0#B38+Zy=$0?5=XVRA2&MpG2(^0y&-fH^0mG@&trcZC<%MTxX~#U
zyQ^-I2Cx;om?`c*f+cb!dE9=>g;pBb(ih+9Lv@O!#x>qgSYl$cVCyk1RM$GOrBAO9
zwl@lP=MC245_fj7WO8#Mh97cH9`<^$HMY*q^1C13d$-_yT^A>MaOaxLt9)J9zj-rO
zYTp?CG~ZUMw~7;83^sO5X4HlF+WrVv@j0CC#O9F>#EGb*2fp1rr2~4`t`GMs{KNT;
zWz6?Ya-#1N7g~39X+uLrQ0}k36<o5XXo(fL5XWi!HjkAyu+c0Bhwk0Lhex$DIBK|%
zy+EJ2G|~dw30CI2H@ESBk3Q@f_u)pGbQ79HV=WljA}0RZLyM+*4K+igc#s17<L~V6
zHDU93f%3!mbm&jLo{>}z4+@jG*4}KR31h)SBXLv)<k|PsG0cz`9W&X(;P*oVZtsZ`
z(|XK^UWVm86P@8jUz1LsVLqn;q-%`sah%NP6}uHFt%?t^a*~AWIW)kdVx~bak_C~N
z&->**=12Zg6$L#dR5%jfaweXZ4aMD}7hK2`Kv9^pN$epi+|KdZdYHhDnCm&S?JEV*
znXcE*b(pEpG@|!fgTjeEmNqmd%?P1}iP{Ov8g+<Ozx;S*lnYq~XA_f5MbNt|9rOC(
z>X6zQZ}<Et4>~kNM=$?U6z$d7U0!6a4(@j=*Y-K^qD}rv#Azyy7`53ntp(Kq8yg#(
zbml|ruRkZv&PX5+JEx}KGdn(VbPwlR06(JXeA1`?ZWoGi7#4K<MuC*%w=`|(0%()x
zku{^EG|KbDdm9@lP?}qKCaqTxr5bj`Fdvmc-z<HEEk97e7q>I;Aq%4)2c1UM17y(>
zt(B$R7YaObiMzv;DuOs3EJ&0m$syi;Gx?@z3UD!LyV8h=Ap@qTRfhEh<Wk=pTq&Ur
zmxfeQu9t|TZR4?bv)l4${ruO>yRPc+CN)8R-%&}Fx!3KFuDJrLiR0;6DOZPs`cF^Z
zlaxXSeg>@<#gS01(;d^KT~v5-gE4mUqBKg45fGd1Rz!z6R6fsUQ^D2C+h+ER3@ZBk
z*eOL)8T}|ej-4~sfPGo~u|~eKXe~8$Ou|_OrL4TRm;0vyG12m~uYKjv@PtfE_f=J-
zDqi<Jqd^m@$E;2l`VkOzX680qEEzehHx0CwYr#15*)^V(M?7xS6u}E>Nall*L-QML
zxcc8qvbY}+y)3!we_W7)G&A3la=UckL3*~kh`R#1a=_j8*g*>7X>MCkXVrro9x0Y*
z79>==<%8cpM?v_+2_;%vec+Bu`?_CP5hXROlPgZ{%=<>aFi$f8@3@a8$37_{6zZE2
zq)kCh|A{2bjTr(rdQqr)QV9j@Z5Em@Q$wC@!|AJ9#*iqsWqJOm5(<+Pbl;yvM)n~a
z=ZXU{aMs)x7_Xp={tUAub{VK5Hf0o+u@As<&L@4?LK&5Kyd4XORYo&h<%8Ls0L;>O
zn6#EMTH=;{^W%{sV%+!QI<hbUq5TJu-=Y#KEBYxob43B+r8IH7a!lY+Sjbk~4JG6}
z<868$<dGheqRPOi3EXa)`quwP5#7HMly+-T7X7`L%>n$T@M+g!CskQRr2eBXh`m@E
z**|bEj8QO!T84;*a9t7#;P`YhbxHztZ=2*Y%A3N%D(+H6Q9%FR2Z@c<iJ<VyFRfm2
znu1H9$ezQzMC7J~2=+4qh$!bMEkA4mVLoLkbb|!MQhCj$Fq{{C_~z$9E;4~0jcs1z
zJUKMr&-mAPiUWxbUEKBB%LG^#>ABT>WYO-rj*a>^%*e6DN&SY93BVCf?6{%~^3!>8
z=D=ZkM1D1QP6h!yj`?wS-;fk)7k7>#+}_69(jvL*JptCFtUvNcNusB@_v`sTt>U2v
zNT+u*0X&^KG#9;F94(rYMTEWn;ieT9d53K=81;Ce_n0V(*tRs?qGjfBar5OY^B7}b
z-`tnqO%g`6-qLhkl{0v6k@TWyixC(b1QCPx3nJpX9!2A!N!&B~b)+Jv5ooY;cot^z
zBQ6yms#MqnUTbI+>F!_%cU%`saDG1I8NhI^2qtj10u^JobOT6k`$VxW<v|QX=X;rG
zCvoyZFkS3leb}RG9+*AAh4OTcOxwpz;Z0_KpJny+!BFL%-f$rYI;hYQ;f&AVsr0n}
zOcM1#%%RAHy^0O>x%fY!H=M&aNqegn#&v<qYL@E^8!IxD$k#jmX&&EI)LExxtqZj_
zT!mVx%t%4yD5rDcA|7U&>Am$_2j&-jVq)Bw(BA2(Hrmi7oRw8S0)%v+H_f`e*o6^2
zdgLVf?Ai*R5uQMtj?{)W$>5iau?*;Hv(a)`;Tle1ZjM}A(1HWcF9(~9)1xPsJUU=*
z1K(_YC34hP3z)O)Pdf$DBWJH_7dfYGTw*@|Im?hHq{%Uw$1BjI;Eabl22(WXY(Cx6
zw!0=+m=##W(9)w_BhB|Lfo|vDogtbIX@HFai>M6^J$lQdIn?}=9^J^yyz<Rg0}e&~
z{HP#Hj~+ID)vb|YL`=6o^nF;QLP|N`*={d-be+EWyYCAobRuocPyPlK{5m7LPc_q{
z=9bk>_aiJjob5TuDME#0u7V63yPdtx6<xe2&4yb3yySoULLFwmDU|6gGN3Js+4c{N
z97svR{2RkQb?CMpcxhG1hz!I;gcCWrkQlKw@xm+xaz;d%`!bnOSZ{f9p(GCyFI>`A
z*~x{srhZoxJY`02II7Cs_VA+nS`H7xEhrFO_*kT%odt=X4U_DM;X~vgX3@AgHP9sf
z71<@uhTONcrWZ!}k+!U8(yXT%ya`SmOo(Mi(<I5MRu@5JmeuJ?9VNr;f2YcE0w+qS
z82fT;hj)iwu761gCPNc$8j?4{g-i@M8=qu}Ab}8qdbltdM%MT`D^BvDr5F*L>*vLg
zT%6*O=gq31#r@Y)HHa6j74$x?@RmSQhH?g?_f+9n!}i9hG(HsOkQQ5UWfyvq?ViXS
zpb9USZj*Dm_>olJrb4@`G;%qXY$V{L3KQ?SJ2zDY(Ph)Qip_W#<j|^=rX8jVN~=mG
zce8|$Q;@^fw=c5jN#~RD55=mWD9veWr6z*nE<Aekk+j1vQ-aY&Ix?(YKIz-qD~dil
z37suTkVoQ0TnD|bl3~=9Rqsr$ILa73<D0~|<4^o<t<wr>5H@YFy0PN}G_Y|y={5<S
z-<$pD2n_}LR0*-q?nt4=E$Zc5UL}+l;#I11n*wFeJ2QMbrIF8XMt`?VWkfq*EB`}D
z9Y~%71}COuP(`r|{*$PRqI?#{U8mIHg%6kAAznH3Xsop7Rt_0Wb_{+D?4SaHW!fvl
zkbtt)94({hDM<H0Q>Df?4PeJ=H{YI?M}m7=+D)HOP{Wo3rD0tYoLje&jy)tIhmv#e
z>s8c|($6RsX)|qD*D(|~uTwy?p<0`NlGTxXU~0?r0v$LJuGwxgKtj`laRPol>gc+{
z?<Ovi9z;*tcqfkU@Yv03Bxp(<QADa5N2~OKuIf@pMz0e3@hK})`I9<&!&J@Q?Q94S
z_Tu~B7AT`j<Ol}$i|VN4;^M{U%SJ$?T)pnPR|Oq)?RcOwPC>t?+zUEmF!)Ldka<wM
zqjyRjDwd_7h^Lp>uHFFHk|jRO+TPKx&R@#kOGbIC&)sjUn}APSXt@KuD!Qh4pOn3>
zjEbMQor!8R0nWni+&j%G$Zgg7PP>O9VrZMcC9u;MMuf<3d>mEK!EO7pu$_B+|7PE<
zm}v^0y`!4WdCEwu{4e{vw{l2cQa}7;uPKb?KChgwRYJ>gYr9>3Nu%(^`YhpPQ#ehG
zvdb<}M4ZOiH>-3cP@7{6Y5kumypgK1Pzod=w@B70MiybDPPEBp*m*~BV~IyWTmd<^
zsI0f!@S#Ix5y3NgroihP!5mgBk3w!Mb9X9npoprv%J1%`5OkLP<Yx*2aaPLorT<{q
z$$K$>|FD}vccFc`$qQK|NVo6RokN@Wa*Ora#t!ecuUG8dP?teB9c?-qq!(}>tx&f+
z<|d#~|EAv}R0`R)4+?$yHi8R`?3)hm0r*g#Smc{8fp|@vro`C3;9t&vs1i8^aQxo%
zqRgr&f`5t&*PQQTe@@hhUtGdKkJHzh`+_hEw|f;abf_Imw&@5uErtP*uQ5-G2qME?
zj(7giJy?b|rDMp%7!dc2bNeJ8`f4DkAEnxlCCTLQi=Q=u$o_$mGc!CW-n@=e(02ga
zEd4vx_Sg`xQ!c}wcKU<M10SE(*a1v5;@GHbw*hz^$f0g-up!r$G((H{U)agAkCBrC
z1`xRZ&O3*j1*K2>mW<{8#QJXu#0NO*!@(Ddd}4u&$ja?hidSV1MjJ6F+K{aWOfCAM
zD)RKG11V0dihadyq&4tX&FX?PgHg1DBrT#j;aG3Q+K!P@rA+xObYYe^wxa9#7T)Cj
z-oMYP4pR$^Ex4Dd14oqhoM}m2$AhP@vALgrfu)r_cu%vb4WD@}`)X!a@Y!PD&ExqG
z@XL#}0rKwJ(5}%;2`yT}HD{7L%T22B<YT3SZH-#6s78O*7hl9xT#~xfbUxxL_dfh=
z(a?fpmO97l<Q8y)q_);n;V*dD)r&>{ay23HsQ#^pjyc?cF^2!(jc$DVO?;cYh$hSj
z5NLdBW^q^in=<dnPkftMBt<__1BP1Z-paPm;6fVv*nUe5;?76?>jiiE&X7#4Zc+3!
zzG4~SXWTx7KbGw!WW?<BoxwjwxlgC?drFNRmm)`Tp8gA11s4@uUSV7>M5l13n&a*S
z(=q(0&NC64WOW!*xD?jWKZ*0?cv<h~pTwJ);ux%@)WIjTHpFUX68})B(R_Df8uyJg
zjLRyffc>{Q)i}#3y#2pF-va68aMfgCKg@^%+5A0Z>fjVEU}+ONm^P1hCGS$!$Weo;
z1B=c*)zf(AL6UZu)gu1&sY<C;2N}#ebl>mlnZZ5QNo6Pamhh8PenO=TWZ=y@zG$5`
zi&K326lph>@x<NVUme9%!3Fz~f5dwZ-_<GcY@KxtcgxzXYaO8iH-C4wjUAZB57oEk
zSetC%mDAIA!yA<$X{IoZ=fnc;!JYfXD1Qs**L^HPE2s?Fr4=O($&0uiJH}C;MT3yg
zkIAu<O3?rL$8hH4KU_1NCQhE64jDAq7CP4{!qI=4TKi8g<GWr}z2Z%wN4+C?ftLu1
z;Ha1SR!v|P*F9Z+Ud)0K@sy4SB*v0}CnWD>$oLx0R$LPzF2RgeQtj}+>k2?lxNFzF
zlW!VbmNqacR`j?!n{)EK0{rxEHwYnb<6cEe{mcj0QLV+NK8blEyz`vcbM*@i>V6QD
zYE#XLIu}o7Nrn-DM(O9ejVc|ote|326drVs^;5%Zb|R$nA5^|nNRI|+qcwDLc+pC{
z)?#12JeX*2omJV(h~^FQKfCGhBgTo*;2Jx5*ml47v_XU!k=AbgDVrBSDo4dN>KNo9
zwDQTPWgb@4;c~Unvs(!5zgJ1fX(B)|ht6!d9y_8JayVA|R|L^@&ffEVL;%MwQ9<Pg
zoG68O{x6r3IO?}?+K9hN0NXo#)Da;b^qUlA9+D}E1}()OZ(k=s^H9cb-fO(bk%z1q
zK#)cuCazZ03<8LI+oql6;72^z=;n`P8I)b|qDJov0ZhO9?6-O=fHLRrb~q8_P_yID
z^e!cNAO{ASb|eTPJrP$nl@0>B{o?Y=TSfAqb@t)etr!vHBcJ$aAeD#+oxMs4M~Gl4
z{O{JOGBHGZiTHi|G70U!9VxYGtN`Jw;qIcelBoU%zI5cG60%R)E&srs1jNK*F{4XT
zJ3e!KGB8>NIUIT;@TO4_Se>#DU*MKOG3+DvjPuCIi+r$yHC!1&N}avG2Fjw7UfdZB
zCnzYHx6@28S`}t?)jvy_kV6}b3vX!8s-r7Z<(C-?YG7&CdGL6EJUU5Wsa!ZsMaBw7
z9Y>F=LsJcJdf*ljMbXik%sFVFj5wvwT^m%8UKDH#NgyFzYwVw&uqLWD_<X&!MH3Fz
zRSr9gD<PuK&HE3FHPPL(%uGwo+7RTrW@nwMj4TLyi6llXG!caR-dxaym);+Qr`A-^
zx8Vrm0|Hv8z?AoSj=lk$2-)U)rA<aJI-c6^|D=ih4lcOvzH0<e{O=sNZLEe4CR!XH
zAZwzsy9CetVGI^5!2Jsy1@(;G)Bi@%K#m1l8#&x2VAWH2!U-to(u-C(%6E07=osUE
zM9>r{Ua{$}2Pi1Tfx+e$m4cl2yIdY!+2OeC)H{kE1^Mr(=pK5gf~fI6qmgB1kRda4
z%kj4ws*fFt7rjD4?!IH`x_aiY(Vu#=e3gvu<V*w{HzFWw;#azhappkvuBxfVRZ*v&
z7Ud_CG*WYr3D7DvhyHPzJ}RbyX4$T=4KazJ3&-3d19QwldP1<v_NEf@jL7Tn%Hu(2
za8>DBXUt&$6J}4&+PQP5$M`mt0hL{KKfx+u4!ol0-!wfYqMjEHmxOxeaB@yT#mX}?
zSiBR74J8r~Fe$iqx|d=P!rF*KN@mb^D2mQELKc~Ko{2uIH;WPNNJqT0O(9g{bM$hk
zG!iQ~cW;ief!*@mB{0rs3MGVL0VO6$WG?9(VwFn=<!Zg6_pY0Or@y?Km$fJgA1Ap4
zFEYaJqLXhOmjK$dTYlv>3ZmD7iOX_kEMWDzCsO4MK!Z)4*R|_>$oh#c_r`lxAfFVB
zy!izKEtjj2LA2b6)_2g~F^3Hdp8hv@xXT!Z^6tM0zRHRox_M`Lva-YObFcCgM~z^A
zal(J5R~XP01&%&>F?M)k&uUgpYXltYceC1NxA9+kDN%1`*}$u##q1`@5YC-^M=RL2
zjK2uFkiVSE2Id+atZj!4z;;fbRykr8xA@JUt8B>zEE=kHt@rgIv(Cn_b9xBR%x7q+
z8DWL&{Do_%M-Oh^R;l5;(t*c$%Rc%O#|k+@+U)ZLJqT^Pk(Bbh4BMa9;$XU)6&~_+
z+^GrGg>U)+r-GEau>-2^W`{&rL5Jb;Kx(HByb>8vT%sSwf~u={xR_W$`Q6i2RxKU4
z9!$J=;mHKHd-GH;mjEl|hI9NW$<PK19mUXOn>j3jU&4mpf))DLeQEUAwBd4*ojf&s
z5#!2Cy{4GX3SPG^9X=JV1y|UsyTyW*vE~YemT_S=Xn#nY7g*ASOn>=CYgof>FA8qt
zSF^!ehd;uiftpZk8MjzHzJZxHC2q#vVTa92$E`e<H9#-@+2M$*+ZfsL@N{(~2Mmrl
zpPRj^0sE6uF8DCef>HCeHJ?0Akh&3_SjVXW_rs%B`K;*Rk{W0Ck0mZB=-XR9lSKs%
zrThrB1bPswxZB#O&jY_sCD|tFQNeX|f?>Fi0e-5*z82);g%gL*E`0A+hiihXW|F#0
z@V)CiW=Y2f3r(C}o0rrf_?MS!YBn>3I{Bx0aPY$^CXWeAqB<=3n(UsGWQEXy%+^?S
z0T8X?;p6S504<m4*Sjy+fNbdScm2E|oSk1O`4~@uMu9Vo<1QR99=!1P-)A8piIMad
z_fla0Z)RsxA{YF6zBSumCjt~BD}NP13LLv*ba;Z92cE6WJ5)@GLXn-{QHN$Vh&bDg
zo#f&LCYp0ibH(DIf`4JX8m<P>e-G)(koe&2wNt#;<0T>5`qkqW3pJ=#^p{R_;)fYO
zWf7GmDeyveUT5UhK!828Pb6Ic*6Tw$p7u#Y;$L*`&n`9iYZA>(vn&X=){;$+(96O{
z>z1=zT54b_hlL(HEeyuw(~ZXZa-cVIZkYA78vF_mO5|A;0khA#a-P=+aNpy?8~b`S
zFf3~Mn4KjCh40i&v2J<D%@h_oAWH$gLx<QjJS3oFEaCNaJq7saeO{6#lmZGy^<pkY
zyCAK$e{}5$2`Zy=CJaU>&{EpRctb=QY*`NU92Qi9KjTY}x%_sxFyt7WCn*DrGt>r=
zo65j_-`Do|POdvd*AbniA`7;w{C4(JDj+MySMt4$3jYHD0RR6C*JmKrZxjb`tE}w3
zH}|?O*S%!>9rq$CQVGc{N&Sl`Bb8CvB_u?Wid0e|QTRQT6>YOfM)t_aUVm@Ti}U7r
z&iS5?`8w-mZ-x@Yx!q}gWT6QPqoIn0PiP>x=a#LRyE3#Sss%Y*(E_%k9Yn7J9jJYF
zKC1G93fQJ^Z<O9cfkQ7pIp)3B1$rDuT2{I$ba~G&rM;(sM`8sUUfB+Qk~Rl^JXQnq
zqlM4RB($OQR%^P6tv;}<Sjdz;CqUDTo5~MsZAkUGct*6$06L?R%{uN8A?~+tYwjLx
z_^!IQOOtE_nhUd0k)i5vCd20YUlnceVQ&bz`NS9or~^trDI{RK?fta$0|j1&D(oIm
zGllwN>+QBU2{>KHcQPANK&WWra7j7_iwXOxSL8H+x!#<&X-X3YMsk)#LjY=xUaLsj
zYQWJQ0R<F6GVnG!{`3<v1A?jhA1_M{_`B=Yj^Y7zuswaAA8wh!v7uWW-s~D+tL0(I
zbCCdgJg1)h*g^-gh{er&$t2h>#v4B}t^#8fm6M+w=pdr)2iZgFpcXW)K;5MTti1x^
zLJ4%}{}(U$j7J^Txt;2rp2|bKYRb+n_vyfPp4<ElClMSyJ!WHVq@nEUD`w-nbQnIn
zGF#uL21oPbZ<<^e1Je)7`*%grq4mju`MA5PkmgfYVW2MrMS&YP{0`6|`_?1Ashujo
z>J-l+_ktImlcMAegz3OlX!oLGL<!DXqf?Dj?BMz8R1wsgfsbGBjQkZvkl!}dxuMMh
zZJLSsWB-{!_LZCMS@H@nNpGNLcPwLNwE?jVZZmk_GFfyYP7d@+Bh->)XR#gopBMkm
z1E|<BF|{xv4WnymuWdy}G2OzljBXQv=VwN2*iJ}-puW%Xa~(ZcM3!x7%OecVlC@s6
z^NPdxLyKew^A>FDsjVh)9i|ZW;f5|(mk2Z`EbLk|tHZ)#JoguJn!@8x&S&2=3jtlK
zF8(uChK=;wOoy48Kul5J;HP;3IAT{-{MPLuR(~c->szofR7%dbDp>GCfmf#Aym%fK
zA#Z6XTV@26>^;|Ro#z4nZ6*tk`<`PF4iSbAmJA`Ek1C#C%>{M=C%?CCtHK!mR#riD
zL&zvw7IoRf0r!FvHRs#wum^{NQ9_ada2!867ed?$dCwaLmrs7hjN(($8vFGjd)@Mq
zh7}vMY+W(p=WD~%2K{CEjP=3B$$a)^J_{VFt&(LUbYVR?11{RP^uWwC_-Gf#3_KC^
zQ-^l<Vk;G25;!*JXms4((1wo*_Qy=+y~_K8nX*3KbINl&n3Jf72jthW=K=B}8WO`;
z^94gzqmQ~^Vz4f16}F0@pfm-s`(s!*yT~y+BVAyditLfsTEW)O%RahJ|BKzPXqdcS
zqyyo-A^Hg#%h;dBjoQEq(-?bwdh2f$9k|dnmg9YT3Hvbc>BCd6S*%S_OI$sd1~Sem
zaZYoK82wZGJ{y-gtl`M@V=nSE_&QSbsIhDjbJO?Zb@X1qZWR|R`rM}iS7KA$;PXYS
zEoCIdIeN37!MHnJoeFG*-ZM!(i`e<(>Z^y*3U<ndd)uE<ZD?41-RHqr!psj&1rLj_
zV|mHRN;?_az<gJ1BeQ)8+c9Ku*?T7w9J?088PrMvlrw*gczYR>RxF}DzRe8x+3VI%
z{YQa==(|H&(hAl&+|(|(l@+|XOR7z_P~eT5?-bk1RV+cb*Ev6q4K4^&Mo(I3LFysf
zZZg+8=9~Dp<Bs}PIC`w_^szWih^Pv?>YTiRS@dl_?>IYLF-l<&Tgec3j3%U=&jjib
zK9^sA=Y*F!O6TK=WMFz(eyjNoGh8`yJpW`bHz;&4A6Sgm0J>b&FjpxHoE7wcnJ3K)
zhk0n_%M&EvF<>Jk53#~2_N9iy=KLW2bLNY_I|+Q5FN_^A+5*D1U6MLC1z@aE^>kRL
zIv6<o*!TX$Ryb$i^_s#e1ihtmhu$4g2lTD=5ygfB)+c5Ce<le-+qwHu<Rv25Y=5bG
zlAjB%%pEeW0Z|yXLe5IrL`dg5Zsotu4bimSs<9&CU?Q|zZP#8RSnj$(^_S#@7TwXL
zasf%`nZJ^dDMkcJ=0TYO8b3JL@4VZjCk^>eT82Dk2yn5Izj^Jf0L-d|kT&9EVf5Yj
zh5dgB&?&e|-uYb+F3x{0kcg58(S;9nx26c-5c>7XH5*}A5PwwH)ujM0Rdja#kR(Fz
z(zk`6VG;1iq%OwqR)Rw!U+!SXh%m4eq<Hm#7%Ui8h;=k8!?r7@CSrdQA(ZAGz;jsw
zB%&Aw75=Kw?P%x5w3!pjncY+0uSmh0?yb)1$^=-9+0PTaiv;EONN)0vW#EEAOTy?7
z5#n#e2$K(Jz)4%TcYZT+5G-<#Mkyyjo|rZ5VKy03!xcp(G!@{1SfSv-L^6EQiK;$9
z(gI1xzCuQTA~^Yd>AUTz1(h+@*}E@M;AcyVP4Igqcqa2S)B6Sm^i+=wP}8;HlC5%W
zsH_T9(NAoM`)C74YkCf)jS77dh;u$n739B09B)#kg6M$%;V+mDv_4Pwv;VCIvU{FM
z*ws<N!ti9zukX5$zXhO7p9o^Ze#*$02Isj?WltsOfoo_Aefg3)^u5y6;f<hyi06k#
z(_RMfV90!CsFVbaW8ZX}qiIm#O}6Q<H-ejaR`HQF8o)9$le^QJ2DiR<Ip^&$ftIR=
z6A=%|;Plb2((4@+PCe}`uC~PBh);jb%6?7wtL~LsJEaY0w~$d+D!}oy$ppo>nqbP@
z@$F(e1*AI+p#F>*)Ycx#+A^#O4?3mJrLJm%#hd!9ZTfVGWwzgDQKJcY(RH`Z_L1N*
zv1h2|Cmn9af7^TAUK2i&Y8w5+2|&${3DI_Bz}Mg#%k7zD;3?0Uqs}XXl<mcnNsk%e
z=6EL0=(Yxw9WzV&c3c5wbKdU$-NJwj!TXb`9wZp|oLtbGlY-`#8DR%I7*JOuG~7H*
z1Z~%wcC0ZXP<%ybP@sYVs@0D_Q4bMda1Kswc=AD|*s*{6FEF5Hqf+T;fhx?5C<nxg
zZ-Kz<36)hf2CNM?=KuVo44k=_+4HV1Vr4=GD*bQi@N^$BUQJ2~Ca+vXdn@`e!YjMV
zlY8jE@lVV=(_R6F^EDnn4@S6*4Qnp6nn8S!YX6$H9QfPWA-91+yzX{^j=G~6)KBv(
ziTsiR`?i7;?O8K;b@b|@Xa~S@hd@$ei8u&8WS*7!wSd>&n|?@i29W4`rk`3V0)I%H
za#-vNzSrDO>O~a>v7Ah^-YbI8ooMbqI<kgmUf@lU`)msN?~mb<0sIi%tL|mGV*?Kw
zGa7p^XaekVD=v4<w!!-J8%9aj2EHRG@8dIe6ByS`Y0KHh0iv&O3J(6-z^z8*eRgOY
zgZ`n)?+Dl+>#M%qTHpr$_x8g@$`K=2{HgO&u7e3Q)r~G3ZCJ<Kn2T?4XB$F)m5WM4
z`U)m&w9)ixdJT`sd)0BI+W=}(t)h1l=P?~iVq+o48qO8uNq(zp0Lt&32F@Iq#vC+x
zq&VbO@z91kiK0M#xSWqsTO~%Z=;(bP0_ZC^{+c0M)u;!jf4v&o8`+1oOy<m+UR=f*
zXE2Eb6+O7R`#|zyY&)ja_;rU+`x2h<D@hPVZ3oZPOsUUu_1M?jh8MyPEaAV|$2j@M
zbfITgu!-{JtC(x|-o~@5i@1j24?W!jx-g%q|8|f4TU<VmMXTcTB3>h{!?W~W2X;lP
zy&JathBxbe7S!FW8>OF8B<ksajKq{>uH+BgEi@w^Hv6Q<Y|+gsqJagE4;w|L2Vd)S
zHtasQgikaaFej<gU`1-bCF_NL{50q7yQ4!(xb_Eww%3oS;JoB3W0gCIpH;qa-u&S*
zt}a#LO(9dkpXmcT<^Bk+UvN=;JYxk9lD@+dyqTMGuIwWXiQ~A;!zOE)>Qy|pU36O*
zrVWd)_8X|4{)@jv>>*y_>-g?BpH&S$Q{aS9;+#2g8drQ|yzuPN2L6dKwDYb91?r>s
z>RH~M!B0|+O|@P#q41%7EAA6oa5XFBm4f0wT=>H4lDsNrr1WpYqgh@Hw$mG;N=oK%
zb(ZCq<2@|suxr}&f<u}xdnx|a>w^op{d<0<brm*bF2{CjX>+f(3?(^_iZ9{OtoMiH
zu5UqBoKv?Zhcw{fae>68xn(>m<CyY@EIS&OG9ADTG+=A^BwjqXifgx&Nt<_YAOSY}
zg7O<ADEgql$s)6X<7rr$e>E3k!$c(w=hdM<^_xv(ITNz~1BqO%+fYowM{C?u9ojB?
z-H2LYM$hYPJDKG9P=dT}es3EQN>$b)U7T5wR(K!Bmv8*&+)}Nhn*$MuG9RZ`+u6{&
zs)vghRS?<#7Eh4wCBVTmuj}K2w<5VVj~5LkLP(XL<AY8J0l3&W((H{n(Ad9o?i)@b
z=n}hW$dWVxV*CiH-9!LYK&rnkG$^^JGg(;-rQJMnhv}Odl>J%qY-emk-+Vs0=}SnU
zAg|>y%``QD(&%5}iM%Le2Y10e11TiTY{XgPs|FtDzFpfB&5soQGW%U)Wzg-U6D!AD
z)u3Z-te~n_0R8qdc;3M(kFH+VvotuW20=IPOL!a-Ldyy{KVP{hpebvba%Y?x<Q!C*
zr_Ko@^}N7#moJJaXlbJE(ib)8EL5r&cp-`enXij?98yO88+L2VMg-8@>sp$fB#uIC
z9Tel3RZ(<^P1nb71bCQ|T_<%@67A$|y4F{%hVmz^co%LF;eE;84r^Q*(R-_}D<%`s
zQ0Y8FIa3`<@$!EJJ~?FQ$ozrnED3cyqAec%L4sbjRZ{m`dG!7$8`0jAjP9^HUEFXZ
zgP(#^iW`q23THE`D6`W-r&9Nw;h<`Py31dRqK^_<@=$-CkwroGWEcMi6jGo+ttvt9
zi!us&^6X;xWo^`cn{Ul}d~+_$T~VZ|D(dGN-BRsHMKjiS@_!$s!Igq`iR9;MD7jIt
ztcaI}7J8IKe*V(|lb9KuI9Ve4M)NzJmrX-8SIKKxueXET@pn415$b5iAFb2pmuToy
z5s=IC^x^D#`%5KFB=kwTM!`c&2TiBEd>Z}K5FB`<O7rG55J%P;X=H+i7E^c|R%?yH
zV=XwNc8-i*D2<)l8AL<3Z5qTzf184z`OG=iYEAU5@Y2zQr&RP=Q>XvOS%40fmL<$W
z3yp8TVIOu=8}*uD;?_Q!IqMQDNWQFvgh{TP#<~==%_+)K%8U*ZMHP$k0a{2gt6;2O
zn~dJJDpuJp&_Vr!tyBe{7P8wu<vWy1MC8O?weBknkgz89Yq@G7cIv~|jy)=<jXoLZ
zJjj4+QMTgt?qp<@&r#qhtcWCJ)s7LR%%M2YTtZP+1C@mpwtLk|qs44dS9cY27+37^
z<$s`#`hIS3XSRr-eO{B<bWU?POsc@iYXroZCm6=b#fN^({#Z%>$beFfy=BzxYG_~D
z$XNX_D^fe@l=VB10rUs|t>+(7LC)267tX%@hmXA=Dm>t3Ky`{`u+}*xl))zX+&Hlr
zcQ!=$%ndrcz4PlP|1AY{>DQ=laKmqGo8SIVY@5z4WOK@GijhM)<&OW=Y?;9-d`zXq
zlgvQoezGGUvoy*HjeHRGbP410mUcP0>Dl2eJ82pP;>b9U-W+eSfqgmby6<2tK--f1
z7riSYNPuVYvR5iIIDc%42;cw^Zm{|ic}ozz@%MNj*Tw=5w0N`JBru3RJ*&Xg!iO&P
zoQsxAWQ8mdNlzt`DflQ}wJaIqLbA5Te0P4aLi}z!;Ur5F*r%Omhi&c?8EObiYY!`k
zY&3->|7Q%;K~}3Oe-`xp$NfuY&sd?&^D@_$TShQ1=|1oBXbm445bPCoVTD>MedWVf
zLwG0qw?JBZ0l#lw{Ge{01(ef9w$JhzLcr}@ric^Mc>DAHEmsp*fbUg!euaYp^qepk
zOo<!DRW!kIUWo;E)8_eaJkW>u!B~O*%5FT*oG^8$o*5nyO1CgC=|K=vX?<AJN8CO{
z)@RRoW?;;eNZi=32N99Ip9?d6u%(W*Bg+hCXre9tH&n766ujsHwlR&EVf=WYpE5J-
z$@W)zEU_KBy}xPP<otn+FQ+F?$}+<No5{neS9HN*yS#65XD?RYu}+cIWrpd-*IWPF
zoX65P_k*mf2Qgaa$PYswW*Fm%^IY@M0b7OFcd3jq>@}O>hDil8JdK$VSMH+$eyD-J
zF6=MX=4kMDjlcr_3Q;uVPJ?ANa_0EkX{_bQT=|Z27I53f?)kcx3OVoAwEADnV#LNA
znSaMvVa}O9g2jgl8BZq<?M|P=<jy@mwW!YqN?ioc>oeNWw8yda_PGVDy1H=NS&c2w
zn(SBS7O4#)v(KHrxG!N3w+`yPVQht>rRF<<!rE|xSWG@|w}L6r1`^yO*kO$I@r9lz
z6wp6cvoNxE4cpJ;khlF02jphluqxd_0hea)s~RUZumJIEQttj-F#KYlx9nFfsLP?)
zq<>)oj_kl$hWa*mV3zltCaDF}ss^E6E6mVa-Vl37fEP;ILKOskHNi5?j(FUN6`F!N
zju?sXLt}V?s_92ESl90*rKhmLD~Zrjeq#Z+SLA=mMVAakZ{Ar=ux^F!8K0jr;ew#P
zQ!0P^V+}ADpxwHV!VXo=Nj&>{gy1QQLp~yDz>u@onUiLmFtotx^vY8NBHa@w<=&9s
z#q)Q0t3uo$O%x@b*dhi;3HQ5-50aqfk=fNK9v*l$ym98*CvmVOPgqEBlE7!CEjUn{
z4}SIhax<)ygnatJR+A=mV7jt=Fz+otY)zZBJ<%);62YPp9{1G2gYopfIjbPdf0*q5
zAuI<a;)zqT$?6~-+x_H#yATxblFOb(@-Xy(srAxk?vPwA`9`%1!^eSFpYwSX;c@*L
z68k%K==tLr?|DiTZtm}Ni#@FbN6seu<Z_dMv7fxiP!xwt&$XJ^MwFrOnf1<^^CVFC
zgg)pmNPu&C^_MS!s!%-bUF#yI0fHtQD_!GK@ZF3wQYcJ-m6E@awf!29`QGh{E~_k@
zy;I^ueMbcJy?4BDkPP@>87D3+56{|L)1%LkfTANVGoqpe*Rv>J7AzIud1;1%v<?}{
zdf4PM_fz0<?$>TSOcCBI^AG|?G$C}<OLb6B8)AhVOFq3-g5#;FA_1HKCaFGrXwi%c
z6VAMKQ`=PF#bphVCT?xeBuA(!o}s~OHHAYnhg9Ljw=D;Dyw(P5@yws$O*-%h1n{s&
zYGBxVa4dEw6(WbZ`%|p9L%7Wmy3Ah!RK3*OcvwP(kjGysEhBocVce-`s-g~rgX3it
z<5buXDvWf_H-OUw-=L!m5}c#I@rs_H0x|p9yS$)HZ+6`Y3jqxXDVzxPdPW7MoavB<
zo8D{>CrfDwk>L`J?4zJbg|}g+aA{=>mUCoX^NPu^s?2e%b<@lDxEA-^3jpv;@X%xt
z(*&W>V-DvIZ~8jI*LmK|3|_X0ODh;^0&`mSF*S2dC^>Hx)U{{^V$L3S3F4YCy7RHi
zS1%Gcoo4hKCDY*u%jf#JXJpU{4XLoC6QDp%rv1TI21qqN{kW5r3>>(hC4EI18r@QV
z7dtSZ&3&!tm8b?7{t#egdZw`H=>8~;NCuqdH7vuX)uFl31+D#)2B#)@!mk(xFr}C>
zHD(dP;)BSqsBuw9IJj1$<I4cq*6v>c@&q`+H0Sj7xBze&Z&`h>&j3F85cRe=Rd^Rs
zF@2ni6B=Helr0*kgTfgg`}8RTzuSGDqc@pAs6&RCaGeejeA|P^X-Z(hJ%1!{at6C!
z{;)_;g$^NB?UjNt3eaV3Xu!_*3yaKKvMet)1K;l>Hv{YBz(q|@;fE!{C*vgh9vPWI
z@9jGVuWm~NHAn3Cfq*{z{6ube`8$Azg3b0knG(?UR@j4sG=Wcw7;R(T2_T<%m}jF#
z6t*?=o}BQW!QCq*9oX|RaCNRsLkhxhHE9PQ=j=cH`h?1(@G4V~OcG;{D;5BLWT2mL
zZXQo%oA=4>Gy#Qf37Pi4ys*!p_Rs)z0cY`C8RlU&fu|;KKRfqvfph@7UGttzHypVl
zwMI6EXMcOk2?p$&&OUx3Vrd>Pp0*40IBW!yF_Whq|FS~TZLhOj`{wb_-FGjoZF<vz
zPxHmv`sSWwOoi$N&f#C5OPELY7{IX>4YKO{Rcu}F&3!nx>6imf53dmofPQJU`Mmrh
zw#J^Ce8+DV=g$f``7T5sR*UV{<v9LfH>l3hO-E;N+6!{tyH9%X^K(S^@sm^7$c0l4
z|Bg=MCtn)Y>k;(e7L&ubJrSdr^L&v<M(`A#9px<69J3vyjk^@?O#H!$UCISy;4d!G
z9mZ@st_!|vPui)RJ=iX<_bcnQ6Szd{-Nxga-VA+4-02qDj<Nmw;E)(Kj@vPshbG_Y
zz{cUlxT@AKm~PSldvfF$ey#fuxll(3Wch;PRl?q3e>R$CyxxrBwCwHkfsbjBwh>Y|
z_2e-Y^NW?kpEio`V6k^pQKrFN`M6zEEIIhGq8H+kBP00i^+})fTq;l{j;|WMe2vTc
zY<%SVHG+>9o_$=XNQK?*TQ#}oYVo|1t+kOnqd4zuPo&jDZ7?63A7ShIgue}GNVN|g
z#rMftwc2TEgBbH3-`cG2xclegd4|#$ZtUz)`Sdjfg!a^>_KCFNiUbNA;~2-I)&h1|
zTT>wI$L)_bCx75l7brii)F<$0$M|B|GA(G4*5vbj)`cg?gUM3dB>rRpSL*z&3G3b^
z9i?Nx@e$*0=j*~#xN!s|=ksa8M`ay4mfnj;7y3ppZ<)rAi18ASSdgLX?$;eFX8pMK
zN0H_)Vl#Nc=Zc#72o2CGGY{xp`GdE+uKj7ToyDKxh1$E`ksxH;;bmsyApWOhh;vWj
zKYUqLFx_@Dr*5AT$*3wB#s&9k-x#FM<AFxDtFs5x!762__D|&~-YI$`x^!Rxf6rt0
zk5)j0tZ$rOYsSX$5Zl%{>xL!V2)llUhlvQ>kYjIV`4>NE<tkX-y@KB=(d~$KC4e!Z
z@;8i3;Xh^na^E7a<80Bt$<L4)gcrUVy|ilvcjdm_z0H*gJ&C+to<mfF2E!If*H5#!
zfb-{VEVaxCyUN;nF+&wzf7v`d1LknM`4HKGy_<J+a~yV&M-`a74YZlD1$=DBn;9$i
zEhxaLueC2$1$^3x+$wrY_+?Q7ll;h5biOHfoSj<*KEZX)$L=e*F!1!hUEx443uf)z
zQk6mCbogp<)f$eb*&U`B+=$p4s1vB744u<Di~o_BkV3hfKxZ8f$~z$3wqC6SB0ag{
z85zt-G&ymc-+~|c(AIO>J(WP=bbs|zA}g|G;_DyzAb_5f#<}zIDM78{!kBp<8{(CT
z(bo+WLhB*sa+CFnK$t2>hPtgt{2cYZ`%V#LTCP>enWzZYvi4Pc`N4tG1}YA$?iNEb
zzU2R`k0`>Vg9mm}fg3p~y3fCikU;MK-}f(DD*}bTQnoFZ2i5&2xJ7?N3i+P9W7A`<
z2!R>@me?r#$l>E<8gINTA~YoBT01I2)H&jXjOPN#|GeogqY`<9E?WGj9Hj_*700B_
z4+x<El@GzmponaL9jy~?Rs_BZc7;3gB8bS@bzo*f2~BBP*~MEb!Dxz6ucU|=8gVLc
z$$6uK_OxYYd>>GPlmYoWBRUeOJ}yXMyg&`fiMO^Wmn*~QneeN%ky2=pC4b9c2@y%&
zRym(rs{-cEffePeGKfh`Ok|{kgihz(*k>xH2CDv!yN343BLnT@EJ}i!Xe2IO`DPgb
z>Q5Xv__Im@ojg$DafL)d`&oVe#6DFAn{7j1ADAd1L#8_?{@7?EJgM_S$rdssy`*|3
zZaTVwFir6Gp`t-0@{`1REilpT`WE1)ikkFw_h|dmkgrEB$HNQSa7W7PQ@9ubxpyi=
zxVz{et<n;nm$o!;ap}%p$BF1@sq?y#v@ROfF=qrh>4Ib#BUaCygn0C(9e?HOB2Sm~
zn3hyMh_AA_7(Swb+)@u(YIN(On^NAV9hMDXJ}oRZa<3*Dcr!Wd{9YG%2uaI73^j&d
zYFVw{Vztn8P~o={OI@TNz_RxV3kK8=_uP*G1&OJ-pSW^Z2U*wf#uQco9O~^p-*=OO
z>RvR6)QHiLi(tpQ(t*u8VJ_~pG)_TFL2o)a{It=Xk94*_oB3N@BQ_>jPC>I&zVg;7
zO;ppAlcL?g0JlQbqO~vz61Y@n;+m?CEL>yQPWYL_nW}$vDZ&&KB(msUy{dvzb?){m
zcAJCR51Sa4MNRaS&9@-iT>%aD1@(yvTYyRM+a>crG74>~5fAT@K(Z2jBAuJ{tx8Qd
z`ie-Xd*<!kXSo8%SZ2k7bI2SD<Kvs&mJ-qE5hHz@>ue}AFveBthB=ru+~4hyu7*PI
z`+naz^B2FCmf>iuXbwzVDCwTJ3gYKhlRnSfhK;qX=UHYm;9rq()EGqx{SN>D|Njh^
zXCT#I7{_t#z4sp1xGwIs=XowAJ4q6SB!5&QyA)a!AyJZytcWB#aepEu8A%k0?25=t
z*5BLn;+*e`^E{u=R~7Ei+^SebKYAU`aj~0$Z-P&9ES(I-ey6-QQjiWhNALfj4>5(R
zTN78`zmvcMWEpXEWF|OY(0-3^m;(G}u?kABM6g!_K?|3DvO<B&q+HWJ3b>|cA8uI@
zz}y7H)b~emfFAv)-v?>|IO<2*Y)|uI=F2i-;{-0a|F~%lPXv(cEep4D;Ka<o$E?)w
za>J8*`O}RD5zsU3KfQE>8DnXm9$2>F28n;E(fY0?(6}Jl)jdmx6{U?A(KvHM!#=5e
z&j4dsJRTXx!n#R4T70AWl^HikdxkY!NHKyj!>!lC+Dp`}50x$a65IeAo-fleL+~$?
zB=#juQR$qt2abN_0_)+Rv)H-;<jl{Kx@vo<i7J2P<t}l-!@Ym+(i$6pv!K`1#eim%
z|5W42x83|XH!w=n4Sk@D@>IOIHi9%vu2tdYIiZVxl_u<)9#|wdx8dl1qRl?x50zb<
zz`e;PZf2+lIG2F$y*Yo-(8(PgN)IP&l>D)G$<_taUbWD%k1Hr{$ipIYjT4Sd9yhRK
z)rDA*^oLBP>!{dC{Y}|EE^y2$7i+(u1N+h&8NTapA>njchn!bjK(x|Jj9=0QUP7dq
zpE(WWjdgc&XmbN?L)KBhKy65Ir#Y7Jg%%_Oel*u-b3^yqY>mx|7Kp#bcZ?my0fV7#
z*pv(p)SCY8Q;E`oweyNS!Tt1bSASqm{3Q>poIT9R!KDS>eu@J<){IcW{di}}pBIh{
zsrs-LXo8V>|A6o-CWwv~_v$y`gXnqZ6kCcWB;Jxv=QLq~h)9msIB9-R<B_vtn;^rZ
z^~JqXt*o#fu~(p2S^(-2gtTwnB17o;Gizs@+2I&*(CN3KAUHb64iHVqF#jU8^y@YU
zT-kfKSSUycYEr@!TvthuF@H9QuYn8L>0=*Fwh05;>X%5bA;EA(agpg;ZWvdvyU(pB
z3LzZ^g_oj8AmMNT={NI$_}Q1~hHu26G%NK=^8pgfRvLU>YUhR3^7^RpU<oLEW@V?Q
zwtJ6=`oPz5K1ehjd~ZpSg11BRM&$w|IKA^R%!FG2f@sGn#Jkd<`=uhzhGjR;-wP&2
z_JW}JiD7?Rh74?8@gWmgNpM-n25Zk30=g(Wi*IGJpwaf^$z2f=h)zHA&*Bt;vWK(>
zqr2pwHZu?ROOFKY-)u$jiK4(1#qrp1LmmPQp3dg`lHm4!>tAQ&#NpD+A7N%P9#%Xf
zrtQl}@HHy9gQH6V)MJmmRtivr?j(NdWd<@Fk1_(zTT<Y1O*4%1xf0Atl$~n}B11=r
z*yEGs(s09i;g{i(G7O2Al*g}=!L93Jv0si1sEn}NtE&+pDLPY$EnO2X_toXk+>?b2
zb2F<$M^zy>V<kwzUJK;I8xqUz$iZTT83S7=5k6*nzA}{629cTQ>#ND~z~rzVP<>7f
zP8sx6<2ZHT{VaoyPl5vEea@Czwor%a&Hg{myt*JX)Z@r`84rUmw9(3MbwEXTZ*vp%
zV5?GS(d&#N<X^fl8A{XudGx@c&qW`|Zk|m3mP+8=xpsPxq5&*v%MaP_89<nRp!O$j
zW$>&^4{g-Yfbdo+mG47_ur~1Xh-{NGoWwOvCGOrYzrssAENcwRxbE?FYZdq|ldLSJ
zqz)q;(+RgdP2eYubJ~B^Dsb+Jx+cb{28FJS0-C7^7&*4M)mByD!kHsK7YbD&L@hMH
z|1iK^?}%JJHUd=G567?nRe|?sCt}<_0c?3aD3x1Of#=+3r}KAn?Px8TCISUcwAnuV
zTA~668sD#9-o!&<%FNK|yA;T_dcSC<qXN*GoG|fT9xU}4dfYxyVBY_!-SAyy2zgu}
zTb3dVtUK(1J)0EB%o)<V)}sW&*?vB9Zqk6$b9GkZFa<@Ab#AR0MZo4qpLSjl2T}NZ
zvyI6V7Wg7!o{i(deujh1K2jLk*OG(Ne^cPjV2qJLy8^hIo-+3C;fL-%!%t$Z6j+^S
zsn*Vx2fs@m!5LS1U|8R^i!q)8F)O+9qo?G+j%ifW3voc-n_GP%<`hUOw%g*?mWA}U
zKWH&?W>|a3yu7joaG#DC%tj*vPfNF?eMRXZoc4nA&Le;&9&SSOBPp=#a2ByFr-7#{
zx2LTw0pe;-YBnE{07A3X5y{yNM6w)9(EEZQp5eX*nIHxm<sF98^=s&3B;)IPaRhl$
z&wXEri9oI0UaiBAmeCg7+hJ#S6EI`+E-qFRf)7Kl_i;rpA_rST?v6*sVB$mek@gmV
z2%MzYW%WPkX~w$E!5Jfvw=Fa?Y~h0^o+9pa$qOh?@4U!o4I`-L8gxMByzq)zq~?Bg
z0i8-*sa=aS1YGCuk=Ebbux9BXp}e$!>=ZjIMLG?Drg-{&V;C2hw~9#Bwf#Xm99mHq
zWei}s)wm<lnFD4z>f#ya77<IfxQ6+8eQ4JZ(0&xj1}lDXR)L3?(dK$+-jxA8I2T-^
zT06=D{=+pEzW-KG<P$+(eSJMJEy{T-5yK3(vkGXWI@i!&_3rN{b~#dbJ3vp%g$ah0
zF*&vNb;Rv#v%JBg3r=?Bc>z9*P*wcZ-S+1OD&NkjSP$0$4aR%5p^q8hKx)}zdbMqo
zu<WblG^-6wcenc#g&05~s;Hpak_I&52y5(K+HlcIuJvgJJp>8|$cEjbg_yOR58|U*
zFuiYy8XH0n@$*|JxW?%q_j6TqoQKx#91`wa^Pq?59U0VWO%JVns}GzfHKFmw2cNzG
zdWh^Q_S@Ia03&xV*4_8l1Pi{Gpa134!=$SndVGut_R>k0x^I%<^r_!DUpDAr1bzuw
zu(5!5zM|;sL^7<nwVW&oW`Irh((ax<R`_Dz{&-e_48I!hHg0h;f|oW+pK2pJ6i(zy
z(7hr-Tvbe6-8)7o8XeP(e!~gtzg3<ao*==PO))L+V<w=CF$>(jzzzO&D1B&mpJ%g6
z7bF%j!^wsqo{l0OFp1dLLaNb#NcXjK+wCmS8NG!w{mBcT2{nrkeKg=1yXj;YHycdu
ziPs+3!w*|IoD3;48nFH1v&+Fqc5o`Vw{)&v0DSxlRFqrP;f5jW2?Z`rSoI<qY+4F|
zf4y{Ttb;n_SO3>k`;H4H-L^|@{|dvopp=D*MKzds$h1HDGdE~(nF=bli9$mYhl*2y
z8Z6xiX=5AX0o)(LRncm3C<@(g?R|Q8Zz)w5^5OX4q4k07pf*X6N{Ek=v{Hjb6#b*j
zh#%gKe>`&Q;_lvHD=KEAsKMUK%Vm>E0+5wHsb5_z1IqC64!5Hk)covkDcuqT=My7}
zm#1Z+Q&!`T&vi9`h?2ba>%t(NZCq=mBM<*wKQZ=rNDbZwxhXUgL?K^``%QbQ0-Wc{
z+f#d39n>AY0~=<=;O}@_?HY|DR1yRqV%zFq5aCmCqFn+me?IRx5~c)$!`)j+ej32Z
z*W>gGlL8A@Y4Ly+Wf)Jl^nN(60d0p>rEbhf1KZc(G5cTw$o$5W3X@5|P{a4>?S>5a
zOhulnol}Kl8#Llc`^m6a(sxBkSPpm#xj$MTQG;$32cJ(wO^6j&@}M=82XXJGOwwiQ
za3-)V^pL6+=$#h~obgbAd*|kZ#{D&*->>&CleISZ<rpSrU&BL{pznayZVsJzC9nE8
z9r!jI7SElp2sd4ZBRO_`qL3v_=hc`l;GS>s9IjCU)tly0zPCug(dF@`-BBN`>L1=7
zu2u%xN^(6*772d-4bsl}Yyieycr5vW3S@L%Y`lMw1d3L^p2pt0dr7m8mEb{uHl=Z4
zHzg8yhu?1evt$f>rzRBcZW6!?s|<LTsR0X(bZ>e>5j+q5)OXZR6`D(~ocdX-4#eCb
z(~>}d;G(%M*?d(PHS;}I@R101mo9%46r#XCrYL)XU7k7Q^2hDVAV5&kQ`OW$3OF;4
z-QDZ2y31u7imaqE*rh-jowzA56|?M&?7pkI8TMf%7!QYk_}xwkHig#*dxmu!2@o#4
z9-&+#2l^ZLpD#Z(g{=!mi?YI1;I;vK+2~(sSSDWi&%MJG^e$veNCzmx?*QVTGx_3R
zWA60NXZQS0B)vVGsS@xzldn^Ygh2SkhhJEQDS&d#aKtJeI4@%OOhG>IWv0mV$C&Q+
z0#aIcngY1oyz{Y)ffL?sZ0JTHQ`m5yi7{7_hu=14QR=@K;c##6Z0s)YV)aXklB#84
zRPu4n;wTNoN8FSuNufYMVZHvXJu)!i7;a$rat*yBbqLC<Q@~WEo6D|73K9fpr>*wP
zqxdC@pvE?UaaBUnnN4vJ-%{M5+#Ex?kx4h}T>)zD2hwt%*rl$4UprIF2Q=!_FIhi=
zAT>zeu5(@pxcTzLs=k#W*`bTIf0z+$@XgYkE!>^EHum~?+gd7SWBY_g+XQ}J_9Lp^
z-~$86;7%jAH`EPlnoi<LW4NlkS@<KJ2kg@bU%0qCsY_2uTl+GMU@b6FeyM~DBKDgc
z(^%@HD)Nf#wDcLmr0w8F*#&lxkSz7o;O(Glkjc{h{Dxq{qR&>F!vb!~-C`Ryuc>`~
z?3veH41nNpmhY<o6I6Q2*MF#eK_y1as5TeqgPGB%Xvf`NFwr5KWBxFUYQv-#>9MK@
z8wsV&bi;HI*=e1Rb9sWwmlX_jZ1h0rBG1fYd0OCGKYlC9;uWG{p?$zzwCj8He>UXo
zcaYM&{1HFYg-$Ho7;9wI1?H2#B~P?&q6M*Ek7oCNLK$AZah#`gAc6VtU`XaaWa+dw
z!ajBg?GM6x^?%fchzq~uPjvr9rB;XXFU^gjwYp}lInaid1;6EK$2HUzEfw-wastKM
zt~IMY*MjJwTO3yvR*_ie_2)R}X>@+aqvgD!7TAAWS&1@OK}!8k`jZ~~M1R7zpH$^&
z!k<UPy184+XkN1Ujo#cGifxSaZ;{Z1xck4x3q+UEuWKnWG{p;uNN>OIb`}|ESsPX;
zUzbp*io@sS{}$1M?5b2YIWp9ri4zg%UPAB3X&WYWmXUY<sb<+HyWA-@W|Lo7Lf8Gx
zZ#)!PMXl#~_rBBF^?6#0a&hBjR9`x~ZOH!@-Kv;x`1@J|7~U^@v8`H0<<$}|NrZpM
ziM2-PvGXop=t<exjw>iw=F}l{ViVye8b3W5RtM{(gQpWDR#8qMwm+<S8=d^@lgq@T
z4zG{h5EkQFLyKoxOmYioKoV8_IBTs2vlb1^gUWvq-{JF8nm9UGQKyOANFc)9qzA!6
z{_Ch@{<zTfNF1D=-An2GqzbO7XS<${{6mda^`4Xb3?PW<B0;<=>|^&g3%az40!OV3
z2f7)dd2tgbe2D<FO*<y#w%bVcpNN}G1vAW)H{MeGrUIU+?*ADn(SVBlkXGkQRv5BP
zdG*X(1;)=Gb|vkl1)*M5qg?}mH;ZSJ4eFFZy#DPv7DWg7a(CoDd2vCFa8>syO=bA7
zcBfc(5C`lHayw28Jdik=$iP#t1V@h!JINnrfTAx$ee<Eb5F2f!AZMinkqo_eoYxuQ
z$n%%@pDg^q)tq#;ds-1n^3}ggw=jeC*>|P_%>vMANlJ*mqX-?td|nDKSOG#!G!A47
zLBFBc@{FA#{Is=X&KY5c9MQ5f(M2L)m2j?-Q(O^@q`f4?^tfREv{87_S1~BZMFl%=
z;i3DUNMrLjH$>W?{qI2%<Z-rH4_5H-fUh-n-hvmNiR4b4IwcK$vo^v6W<|(afB8P6
zlMjjl=7fnoGBC>KK0m3a2*P)oCF_C&fOREK6~A8&<R7W#>`71rMn9!-L1Q5>KCi-V
zHX{#Ha(fj{Fe$+`o_4oA1Q96Bm!%eG;KA^l90$WQB~VkkYT%8;K*W*BBEm}vSOh%V
zlM<A{TW*7u?YsoMr^nroG*yAxrbxNfJQc|7zn(ikC<O~4KBK+rs_<OpzIWml0Xz=m
zqoW!!@F+TMAXz~T7CvRBbmS1h!xBHc|Ees6e4~{oacIDfeWLM)RCTb+^C5Cf%K<AR
z)0h}73Fz`q;^%g`nw1vt#_*5=2*_n<u}qV|o|IjzV@3vvQ#}G^@9?nkh4&L(4H@db
z60_7_Yr+xdtt;}N1oRrLbZsXz;XzR7#eraL2xMIv_byk4#uMuM@Vnl5=)t$w#df+N
zzbA`Uf{Oq<<k9#lH7z)A7x|9QMjwPIy+?TusY17Vb$gk%7APtw4+xzwg!}&v8Y=Gg
z+ZhWn8T=nj;CRYFrCc|LZ+!Ppj(V%XG}oB>0ar~Z^6~5EEI@ENN-`BMt_~Paa!2(!
zGAyWgZu<8F*tM^|z$d6f=F5YZm<>r#Zq_J5dQAay=Yd1|<?7&?^xAjkygKmZC0W*`
znZnYiy?o`->L7f#IN6k274lzZT?qg)u(jYf_SjJask6+o8%LDD@<yjQKV}AwQD?r6
z6V<><%bH~(N*;QKrhcpP?tum^*)C6BA~*_5304+ML%<#zC!+2iFw6^j%TYss!Dqgh
z@2UtKPtX#;llMTQ=UFW~c@@a{C9v5i%Lk#Sl(kft_W+07*R_wnO5h*62~9Xwxc-h~
z?FQ8hB7;>s^6ubwbI65UE!#$l7X4q?+|A&u=C4a;Pvs%phmBd!@CP#Ao0nuZX9_ei
zrM-f$WkI^@4rOJinVQkBG9?^f3TFnIrkB1;!;6(u*e}&ts`gai>C3Ye_)yjx_eDe!
zzBRWyWSOl|@y1T4&v;Y7X6d@~&2&)^m0Va*lG>*BWX1-*83nMAZ+pzU>(e6_YBOoC
z(qij^NokqK0LFaSKLwHaVM!pix<M6(-C`}|k9vvV=3vh%;~^fX%5c<pph=H8S3S#{
zYBPb2)<TmhUk<o6=kzbHksb^GsiG-2WDMJNMpVdUhI>{&{+0fu$F}F+A9Y$c0-di5
zGNv~4&}l2{ci|H~R!q^qY9?a@Tmc7W#ZJ<I-D0h$Tq-@5Q*`oCsDmM}|NS9pzuVK8
z+Fz{4>(OIIF;;9I2?k(NXja#AZ3&4LK2W3ifWvNx1lj)Ar4P(?c)@4GzmSIk*YzeJ
z9F}=z*>p`vAB2CHPK8f>N8JO*b)uMY7|V<};hK*g9Ot$F%*@=2p2Z&eK3hYF6}H#f
zrBZd_YIl{Dpi?gL_;<*kGlC9d?mFO7E3OOKE@XiWzPD88775u$4s=*LVZbIiN(XF+
znUbs@K2zN@1%LRN(_u+n#QWXT+7MtT@C=d0s0umuq(CP+?9!3sY4Ra$c+8cgH5NWi
zZ3xNj)4NKCjq&p~U3sGg4V4U*dk@c2n~l7Z=X&U{l(hFocTKc_Bg%D%6u3bBVtzg#
z))<HBf6rjDc%cc;xgxoY?=4a}MeG7+-r+D6x4(W-2AZ(NIrvMkXqmdf@Gf*Yf*uP@
zU1(OJlA$78QTAx@Ds`lwEGgfb0h_gcE(sQ7xa6B<$6EN8YIS+jNsz*b_0jCpZu~@o
zy247!d-?yUj|vy1(_NV`)jY4*qW?&cvVhyqT)IguO#gTBc_uT){kf@!eS5dxrFvgy
zZrP@?{Zx!pXJo~;UCpX+_cg$2|3~YcFdB@rLg2Sl1{=nqz))JMrvVwRD>2ELv{+Hh
z$j~<z4vc?A_LBDtb;$AhcXdxM9Tw80DaB{ag)Kx^;j%f@!Ppmm%ZSrs!ETo>57cmD
z_x4+LC7n_Oi%_Xmjf)JJ<%Cx6>KG3u%8T_(^$~&a{L*I3Uq*~E{9tt<fe*9kG#3fC
zBEp*w@h#-r%ox|U!|j$7e(WaK%@VUtRiHgj5<6$bib;@45Qqw5G$=+T(oGfO9J&i*
z6xlIG&A34ERw3-&ftP-XI|LYW8n><{aANp4qSxUR5$plG&MW2T1Sn<69nvLoW3EnI
z)5F)rFjd^Bgk?AZ0y0iz-*V-_F1m0<pUacLVwaPXjduHhOy!JN(j#8Xq43b2#2-=^
zGyN&rN(%yXR=??;!0}_QOutTw6J;<*Ig?{8&IAyC7#AiTBY-KEJHGmPUKYdahq*7u
z5<m|B>qe=V5XSe|>Cob^9Cjr(=^<s10NE$`2Wt9+F|L=q8m@;Fu(hi6bumX(&`G?w
z&0i*p86Zkz><Av?OuDk=`A-!}1~lYk3&gQh{t1U~5lWcrVZZ5vy+n{5O_WZ1DTy_E
zAFxZ7R>9h@-3##ht_FI7d{K%K(imy@nWJ+T0kgDBbG;|10SCU|nRp(_V46=j6^$c_
znA7Kzl_A3#;M*Mez;ZwqoBC_N;v%DtIkd)h=e;2T{grpRHiGh)`ao&D`w<O{Nw&Fj
zw4V%ajr6Uht_qk~YNBE#4+(SH*ssjMt_2^BBHXtg;jw%8mBX6PN!ZtvW1V^4+Hj|=
zDYtP-5j&9gu&jbi#`b#`uoq0|Kp5MRjU&>^*q~&ZP2o*4mVT#wVJb!sJhwfjC>APM
zpUZl7V+9!_SX#L*=^DV$OCqzF69H>ET`ZfFL&l0vDqD?i8A73%G(~`-ioH0!EgNuv
zjOlTaOwYbG2Ip&41@1INEaZ4cpJg)%dw9a|aO6z{do6T}>*9&ne+td|_6r)=gX7h5
z-!lMo-=Eau_)5fh#%3>1wW?#Ulsc7`k5M4V=h$QZSt7>ue)8Z46C%dY>7F&rWD3ql
zVubqYh#2>T#Y}{k3dX{&nMS%}3hi&STb3zAtR$jId)!_T)2#|=)z~zJiYJ#szui#9
z&P<efCCkWT5>GaU_$g*U>#dWQoJPQof7D(2vLuadp1&6+;b{gftJOv5v<jB<Cct2_
zRSaV#8icwXHv{RSi_WhFm9d@o8J|}f1+f?A@05<2nn8#_Y4duPA~t^^p0}xs8%u0>
z^W!#)88i%iS7PPDW0Pu<IjhH+vHKU=11B3yq3foH#P<Ms>>?rTwyHl3roY#1zp<Ms
z@CAsTD(#fTXfD?~TV7eBMr+m;$gNO7!7u6G_1%9TXLR@*zt(r^1if!m;?-RrAjetX
zQj@}H#sy;km7GI@M_bEVxhU{J(KG6!v^aKPxN_ExWe5o_vYc?a4-o!^=w)aif*Cs6
z{tF74MnbdRoF;Mrr{ha|pGFH}SNYV#&tLeB6hzt69v(yBF6x#rx5kHA{}sd4CH+AW
zn&zvs5hlR<aAx{jE)PaX=1epHwTR@-HRZ-;8pFpk4mUftII;J$6B#nQT%x<mbQ#xX
z1V>jjzaAH7!`^Zu>E@eDsAErI+TB${NLv@b&78@Et@H;(T$f!!wkL2Gb<_;u=|slj
zpD=nXH?s7o{^>>Z=STGAXQvII4zqarUkNQ{@mqMiBIXYou(XtFsL+RUd-sc$F5A@m
zezDnUVGAhgaXg7`OAp`=TcF|6IyGdw-9_o;Z={~b%dc*y2d9&y-=5=Lr6$V?B<Wq5
zMQP5O1#|hj5HJxGxmL1By|iOhvg7m<>E!B4%+u(?*C*E&(mdv=Wx^Sg?0aX>yJw;&
ze;wBW_sVfKCE`!2q_3j#pwkq>(HsfNeWMM+T^(n_3MQ!+!+fU;Qzp=Hdo}I>k~Tcb
zIy1Lk^_^OfdlOIE97AD&;d`BPv_PP@H@^J#S85lZ0-b%@cT_?YeZ0!61?z5C2_Lij
zsnT9YNkML-DE_i$dfW|75T~Aa>KyWcdhhN!S@7vM6zKor#tcpq`~^w}s%P7&Uu<J<
z*Kd49loJzf%Q0m5c=A+A8{aEx!dT|SjYmVMu{`W^0*(x?%$B`dylbe;G`jv@vIdcw
zZ;N<Z90^(z9ZW`(@~M#2aCUO`3v%&dbzI~o0Zpcg|7e>VqWQI7U*N_U)aR|{9G|HH
zxRq5ic}hO=uYCDKIp7QO%VZ3(AZP$hEu-e$k>|)JgiX{l`wP<RO*@0%_14979a*s-
zFHpzTbDF9AgGlO{cU)<n8r;(h96YMkjBryHR7%$%TF(l-`fqpN&Xo{Q!>d*_*>@+q
zpkoLHJbV)MgNX<Z!F;^Nq_>EpuKisT`!K>J&e%JeszQIb?(lF@2RfM1KkS_H4K0Pc
zhX`FJKtt2?n%!I%ay*pZ$)Y}r=vs$3dETf14bLbphwuTdbRCt{*8h%1#I3$d^QZvD
z;|jxpxn3kR5>kB3cMQo^(t9X*C_|i$VAo=EA3E4%HuJc79KE|UhOt&D!QQ`isTt+{
zDD~0oXziX!lyGTFxQty1urR^7LoYw0r|c@pWh+z2n!e%6s;?phTa2ym`8|kOWHyp@
zKF^?J$IL@L9eA+y3x8H=J&XcA;D{*;Kaq&#$Wc5Q55s4#XOM?RP{pl;%}ld7w9}MI
zp3YQ&q596Mfdk)B%`;Df;r@A~D}N=Mo?QW)9X7t2_m82I*GEDvod2LeGL1;^uJ31g
zDXNWLnm`Q6c!rVP`88Gg<)XeO2mE;=O@H=JA^lfB4#<`)qyGT_0RR6CmuDaqY#4^^
zEyp<ap2v3VeV${4P%<M5p@ggkGK)e=Ng0WXj6$Mi)OkX~s(eW*JC!}6BBjsY``0_~
z>$%3i$tmbX%Yl>k_;1zila#cR85Oa4KPhcNJLEH$W#Kc&Z-KhRY0Ay_C1bB1tx~S9
z#Pb-($U<P#h@;fES<0x^$ao?DIt4@gSv=`wVZVo><L$Exlx@mK)t77jQgW7J&6%@h
zfO}U?_eIksisP7=t%D66s9NkN1k1=kOI?rrxq<JL#6Yvalf(3IsIxWh@gr$iNOPr|
zD_)@t7w5;cUSkCQvwb>_ZqhIwOP6bt`;$_8+f3?84l{J+ul6p^OTm@KarHZoS1C0%
zy8DQYtl)oI?0OVM3KHCJd~1?kr~LI!x%p6p1Gc4RN4s2=gov)#ii>T3DZ?=d>1Ug`
zAocOCB7P1@5bDd|OLnINyX@Or)Nk+rJTpx?e_8@QW+{W=cX|*~wKy;s!V8b-k{pGF
zB|z(zxgS#_BYepgA2~$khih)`k5Zn91Iy*EYS%l=;C`fz^hJRP?-!36*d~et-MFme
z?+>gHlwqxM&QS<B$+O8dyTu`FF(y*coC9VKy?HcREdr0C1Y1TobK{n1hXZ3=kQ=gy
z{<h+<l+pe|HBB5g?rVL$-oXR&g>&4g@>0<3PRdXm5r<=;Ve7{ec_F;W$@-qG4A}3a
zoLz{Lfc}T}%%6ZC^bS1<+5TP@KJ401J76yf-oz;jK20Lbt~sQ6+?9u07eC*LI3fj@
z-#?<@AOwHK=53tsDngLXCrzGYX}IUi<NUf%1bn-+hHvzfU}?zzdqkoP6qJ;kSW0Z}
zyMIziTuK#G#Oi8a&}4zIlo~eCCkg!7{O(bw)B&Z3?~3e@hr;!X`xZx~;d0*JR~-ym
z5O`H3(!o#>+Rn3fdqv7Z2=kqopSEN;VeiXVdzu7Ko6lbF5s`<A_cu?up3{b{#yhyl
zcB*hCVs&(`Uja6PZfi1h=s^F;&necYH6SW+@6@?cB`|Up{~bQ73rZn32CvDJVP5gv
zo!v3Y(D!ev|NbdGxVCkYT4SpN&t3o9o@1{HEqBF)qHFb`e0PATe2pIXhKYoKC8$F?
z5Br@Sk^y9!rALQvGlVvcO2yJf4RE&p!?<W|04+ujyV?0o;PMm0!#Sc_@bF8eMDq`Q
zm?<P>ax9y{r;`HPh97AG1pa={uC5Q;i=JJxKLBvOaNozj8f2jB<oaVesSA6rd2OXV
zr-I2vUIo$-GHl38$t$Ys0EJtH#K3F`iSl1Qd#91XE?}*xmXiz=)rYgz0#+dSTK~3!
zHyOHbEie`tsRQGz2JPXb74-O2ED+bUz?HL$uH>H*9Mbp5;5}{)4`R3zX7^}8;Zq*J
zPt~$uN`Lr3Xood~NBG<<RMZ3~g$}PQ1~HIpI@~Vz-WtgHs@B$~>X7`;bs{5x7pOmk
zwTEw8gJybMR~D}-EIA51=PIBFO~|BjI$OgbDONCPA_3dM=|R7ce#+B`QBSjXR)A-!
zf^+Q@f!w)``P=XBwC^&?g^geZ!N<1M3iZl?5Z7FZ`EEv3dFM=yF17^jq>Pq^y)w|n
z)TFgU$BA^+(FRFBEuef%DyfG-687@+KKI^DKogCVT8rB);BKDm*U&@}@cEhGryazH
z$p;l!f8VCUQen18mpKuP_nUdAzU0S-SSfyU0u@}1XT=Ncd0}niZOC}J0NR?LkW@$j
zhzaxg%)gTp{J={jMTUr4-6jE{Un!ugcjb&hH51Uz*1de<Ld2{TvDK#&=8&6~ZIx^H
zm+~ml$Hc^yh%;ZMI3icfV4j&_=}XXe%BufiJE|TLc~j1FnF*MIJw0oAo6#6$qxSiC
zH)bLZ@iH*BS(pM=)vXVwq|qMVKk4)4wE(&{=0CcYXaeb`oNrcnM`^eA_-7xyDu4`!
zyS=lX8^hW3F5#Q1^EA^nw%OLh0>~91Deos@4EF@2V&xA0piPSQUG4G`!0_jZx$;Mi
zKx)j+>8->%&HZfhqLRyI-oI$bI%o)S5g}IZ<>=7t#dl(?uK?0J*x&KreCII>I{tZy
z3^;5&wWlam0G$Vm10J9OJhXahu3p82=D(k_450w-UoamoH8+5BVQQ{})hyUsIh`&h
zNW>$5)P-l-^r2w!x{q=W8xqfC=**@PG4$TWt^1wyVV^{j=cq3St_O$htK}BNv~AYX
zToZaQrEuYegfth*2|qh`wN4Nh{M(*<PSk^4x%-}Y_H(0yiv{aYm=H#KaS^y>^uTP<
zzd1UC2frU3Q%JHF#?njk-A$dka6g_-VQ&cmLm)XI-9QA7%ibN;j@JdL(%6aA1YVR_
z=V+a`6vg`23aYR4bYb|X{YQ5{K8)}ksJ?Vi47EQPom~B;103qRf4^|xN2Tb@i(7At
z;|1=eL9I3&kPs3c&ZP?A!eX0JIkP0H$v%u^&)0$3*<GDhR3f(S&~j3YmBK3nH`|qt
z=|J0Ts<^VFAPUr&`Nf@(MvJ9HH!D9K2o2i3;uR!>@Yz^)*+m8!tuA#dd+2~NTiVKl
zv%*L#EpXM;lEtN#sl5%JIxw-2xZd9;f`r1p&!U2Ixa<69#m-<IxTGc4%FZr^;>S*{
zI55eh0%<3!U%C!Nn0?!0>m!ckD}mOltMX{1kT7)UfeyIV6~9zQ3H+Br+5c%t0S_3I
z#eZGV0iVJ*d3{<^xYkqKL7r8_oinFM)mFM7rhe)1FL!DDRsZ65`GgXN$38JkFV}^V
z51%t$ipt>4>eX?__avM#b$lc!rU$m^m!$H?Wso(kkX%et#@pK4xbNN2gRDCO!d=y}
zc;cB#dR)E=2B!LO>^IYg*Ltd42am~N1xui`g|{lMrP@Hpv_7cL+n7s%JX(A+IkU*5
zhNd#iKj*6q;7Rc(8$%`qR3F;7?3ks7y(t%7JH;A8neOzzYE(dH>YR<ntQrP0oPF8o
zZUns28~4<r6!DG1AExJ$>R5uA*GwtKK)%YCu1!=z=6d3NCMk7P42h!C)ii<ijxH^k
zawR;K_2=>Wq#AymxwqX())a1h|8_r6hJ>weM|h}lYDi1!HMq}j1{~VzEhQ&O7<IN2
ztp8I*y)&mgls3%Zn0hy{r-Ov@y)z@{zpG$}R{A#EL38lr681T=M8d`9aIN8CWn8*a
z&OKB~fg84NuX|TXSY*#t&3cuDks4#<EKLCKAnoIG!zA3AY1jQyR|#Vq^j}15_7x#9
z&bq0Tgk_bYL#}rea7OTY!|4`)Ax{r$VOtWOy#2GYM^GMlHBC>yoB@a~E#LpDM+x8Z
ziruI>B8v}WR=?0Vs34TYHgniO2{}6k8-@C%QE6XOY?cTW8k5rBx}+;&Y~J45nG=$@
zq|ET^jW88*y;!OY+ZC{Bi`{|tBr&8}dY4^gr^2o`X2~`S@+j=Z7B+E57>D!9Zn@3@
zxE){!=;D?~k3Qo;DG5RR7*tS^^$b8Gva*$3UJl`WWz)|depFnsy}EJ{KwQr8u9&_o
zYG3hs+53zaEBU5#O}qeX-<0;fvXQ~kEf9NvnSc}bn|J>e0Vp<l)qKud8r2Sd=!_TS
z#>pImyTMfy$e!@lu9=s_Qy+tuohmtS&FXU8ejy4J=R_O0=}BON&^Pjxhiur`f9j4|
zvN>o@^(Jaw5X1j&T}#t7W<`?J5AMM)W>7D5IU<r-6df)ttXnCtVCPXhKV)YHyBliM
z5^{x+%{(S!G>jQ{M*r7)zQz=q%`)!)q6ndUmdLXNc4ib|v=(RJGlh_$)y^?CK^%YE
zue@!Z3A?&#)|g{Vz<A|I?cD_doVR(p=F88FA0A8wSdJQl_6>_;p)368r`GK<9l?y+
zZ-*t#?2TcCewglwAU__TRUcNOV?mv<=yA_RBWRgje!In;4=?lm>5Fb=!RhL|`({*(
z;E12`oxHoeD9&^GtbQ>ozOYVG(7k2|uhJJXqe#5?bm!pxcV%qImDg?=Dq;wAHHpGi
zjRX`GpZQSI&5nO^m^`0dHURC_kdF{RK(~G4JP-Ie@$$M%RhX~=tdDroTPqRpPl318
zj~Fh@bUD+QQ>+g!+kaTTq9@>zd@RGrIyWk*86V%LtPcxnN$+^S@?dpoyhU0O5Bh4b
zDe^VyLFHej?5GtUOgVf<r>Ta3VMoeG-Z|<)?YMgP6F~z0c$IAOrid3~<BnO*e$$0Y
z_oR8EEdhf9*p-!w_|U?A=u_coUHD71-55AaK*bTCuFPtFj32Zt&{Ee0-k@|&{6@fC
z6Fs(XUkRXUn#K;+4?1x8=F!CxH(uNsC;V=KQ4kHPYE073=)kpX*31L%c`>KD=JkIL
zLTD&(xj@od2VUe2NXdrr;puz2QwMGdquHT7Mjk9Wu;cf|?^B!i^3}EAOO}Kv(oWh7
zwZGPeFKTMTbA9|MC2-^PTDcg$-DNt$bweAZ{QH-KDg<zcT!p%kjRZz?T--XBpbbKy
zufFD-BjO!!E6>@GL|O|`Og}&y_9kmeRc8v~p0AaGu|d+vA@K4;kDK<U2YJHi6(RKc
z$xfZxC4*{LhH~m$v_Xlkc+RR-7++4gM02^zqDp1b>-jy}5F9dA(D_#c=ZceG|M8YX
zr|a?Jw_~(nvKtN5w~OKDq=onUL*>zS>UJk_bDg%&b?V3K#nJSy#rwDu3V5qGC@^SH
z8w~3>^jK9T(QSCgp;twUsHSS+`X5OL*aYI^ZSG6qxq7u;=SNByo$Dl?yvd^}LI1ZC
z71B8GTNY>DOTxDAiO-Jy(E(EUg<6hy8MN7A_=NtmGCFr=^JS#zf>)=DW1^cZUOm0E
z)nZZwBkFZeo675f%fF9dmfCVSI+rRt{!tZgzjUjs9?*kHzOK`YJo5O+i^Wm!o*M43
z&+iJkp%0=>Dwl7~$fK{-a_;$1bxgcg^wdAu0A?eY-4t6D@Z`*m3ECfZ>{T`LYKSm|
z;bX7M>arD4{6n4t$wvcq1XEM4MHs<l?I%|$PD;2VOCqxOlm@EZ3{^>qH-<h!?!mMF
zl(6=m(2nQP8aPTw&S}jy0mGK#hGqpMoO<lUa#czLEe*d5Z<LwB5vG!Z>>|p@#I##y
z?X)^B8@#hqcwhz@q9vbK<CIb4U~=GUwHoe`iIs0}F^7%aAG`CKmGOj7P};Ezs(AnJ
z9L2q!0y~s8cr*u;G0R;zQr1KTU78}MTx<bcrPWz~yi&%OEsfJw^&}k79dZ<}0(iQz
zb)8(IjI64GXT9l_@amSIr?#yDd>pU*<6@_bM~`Y49MM(4Gn$!Bjs{d<@RSc+ctygm
zd)ztw08c=$zjw(Yxg=oU4u2{bg!>fU)+V80|NPVGSQ%6esMj-&qr$o4u^f^yO6dOH
zT9Ip;6sAAVOQ}qv!dpMjpuAE=G#ncj3VSJrWhWbhyP`L9)rg46Mg>gMX4KY77RIq~
z!G^87sGz&JrX-K@$iq1^W0Oe4eLm)z?3$Z=k*li-XqLmzU%P)eb@AcJwRQ=`-vB0>
zjcR#yvdF;pnrk40fc?Hp<_*mNzl|G9cb3UuXOlZ$^HVN#k8GZ-IRYU1QFf-GP#Q0_
z^(w77v14CJ6w{<K!2Zq`td$y4SV&ZqHcMc^Vryx?wFU~D*tifGY%GDE(<wA36DE|`
ziCnn6g#sz{dzLeN#4y_ErM=4Lyj=0o#BnLm9G>Sq6zsktg6_RpCl?IpF;K4J;CQnc
zTo+oU%>5F=e+)M-KlP%+1TC3IW4vY%MS7&t8ZC&Oqz=={`hPSUgZys3U{gq^h2L{0
z5b<Rch3?k&f3(9MYRx-aO<+Ly@Z~M9_)*<!fYU4bAMHi{DJyG96A=G7=kTnW4|iVt
zvhO+z9S;1JeiW2o45yafugu)$MY}>A8cL(XFvh@^Eu%)zTX)j8taG#HMFuE`wCHj8
z<VtD6RwMZ9(77?dO2FyNOSRQ>4Ct<}m_A--2y>)@*&FR!u)X|^wDNZbbek=n@s%<J
zhX%PV>36xY@?^j5S$Zbq6t9;h<`@7$N1^k@TP}S2nZq_ojTvPq{WKwV1JKzua^nMu
z3v=$4cBe+N;7r4Bv*c8LAgcd5v8$F7?GkdzzP)C}Q#SEp`<e8C<rY^b!JiX*?`Q5Q
zvSCNc%gpoN()EBdC+I$h1t(esx0<Ma;6PJ$F(w&4JxF$Sd2qpj6OR_{J$xmN3(tmT
z?>4-q3)uO@z$lp$oqU<D`EK8WO{ASBo;teFcypLK@`)3pB98wm6D1%mrpoSNmk!+Z
z7;~@L!-Z+=m;8(*dGXg5xs>e9dHc=M_g6w}+-SWt$0Mr4hc`cl7AbS<0L_l?%cu9;
zn;ybPI^)HUSDPN*`0zj*{Ns%;{OQ?(FP{aoj$IPK4%X#-`u*DA7rxEl$utk1Tnr`0
zd?n(kPH|6uNo}~a)9aj59swOy_9;|53ZZ9x#@U=fGCZ>=1a(JVRQnNjrMp`gcM+31
z1WU<~^q)Q<NQe)IW$qOc0!7jDMtQws6dB?MTE4{p<ij1Yz1^pT#Ifk0l+xdAWQdMb
z@Z6Z@NB5)T{S03uup+yG%B(>KKMn4M*dGFzayjh}<0~ngnhq!Ui<4pY?d7r<K|$Pq
z`pL8HQ_@&8x`t{(WH{_xdMt9g5C&#h6_D0skgTM*bVZ5`G7QGK%~yp{*W?cO5276Q
z{D^I2Fd#!@f@^OAlPFq#zeuYvm&f=F#+jZyWN7DA)4p;-4E<C(c&j26@Ol{IU}FAe
zzA9l{BqV_umt`L{RV!jJA(5f<3mJ-nTe&Z_N+M&(F@;aFN*MSc<J1cqZ73iTcQR3>
z(fO@+rLu-H20chw+>hGO)9~iagt82d?XUaX6QY9gaa+{iJL$lxj+c0ts4SWbJ$3t9
zqKb?s&HQA4>wuE+h(|d=4ukWb-#yW$hHfwGQ|DTAp=`CGjh{mvV{yIZ&MS3%c9J1!
zTY(;gm-_9hWK_T>A8W=7A8qo&T<coaIeoaeGefa;O#z38llH$oritI|z3+)#F@Ol8
zn&0Y^irB~)^va!H3!NCfPTRK_LZqX`YrRe-^r;Q3m{8KfF@1Jb^LZmUp8DRbrI3Wm
z2WLO+R@K5RuI<hPswSJg+F%jns*KfaR|9vmY2ouGW1iQCOre6(ruTM98UK4ElNk}K
ziFx@qANSocgQ-V9zm0~eARmj^KzX(XM)o{8|Lv<e3|;fh`_-m`by=?8>fF@v3SVIH
z2s6O@u}BAxMHMWRTxqZCRYi~cwWXvp09+vvclT`O4+vXF4solXbl?58+J68!O;d!n
zRux>i>nqw%-1L>m1kN~LDpVWxYu4{qK`$oiN73I3*fT?(2)#`OT1q$R!>BUy_{tTO
zcgkVoe}uBY5h}oeSL55s%J{fnT5~o}21!I~d8<EE;M<dSI>3j7M?0&y^2a4{Ii{Fv
zfWZRR&t%;3JE(--%!j63Uy7oM4_9u}3KdROfTr#qMI`z8*%bd2#F3rzGopP|u%Q=I
z7pEv-xAbmZwFG`_ydfBzR!RkbPR;~xetArP>!JNAkbq{DykpgYR7hLHq#vWQc<WHr
zZJUFfc;K1$kck8p1li-_4%NtDKpR!P=N$_s_wr2CbpxFFu*`NRK^kjD+W4QdFk)db
z^~Khs0M6rTH{RTq#I>~QrJ>P(H0$mYQj=l;wU)lY!qMV5=rM7^lzE*-Y!_VcNTk5S
z$7us4?xJ{9si3>r{TJ<5o=8M}t2wlrU3EX?C5#-af9np^t<dgf8owW8F$e0ID8jZB
zL8K$l&g;*Ar}YlgU-ob?1J~T{!=v2-7(SrD<}trSlRII)Zjx&X+3)4Tm(2L_-%6_(
zf6fw3l0|jNX~YDWs%k^x`gl<|%6O6TWQkVLuy9L4!vs!=G7v|y378XmQR%?$@3aS;
zlxu6r#*lM5d|iBa3$E{88Kb!^)0$pCyCX7S1Q_haWIM)%!cRp)e-y3I+^wFSE7UOp
z&6#B?t0E_wC6`yu%KfC>?&5r(e$f!D)g0<SSF&TLVB@Xu(O<NS`ssq-ei;B+w4ro+
z5F4@(LVtbgT%)1lDeHP)0|*e~@p<aSirJ@cCHD@k(>yAE(S7OB2aW3vO#LTVFfTql
z|0{8Wc7%WELo7ufydr+pd3|EWlZK7HcMa)qDvAGZ=zTr-?|}Hly?)HtW)@pU7ekLm
zOsT<-HT57vUXPW^$BbT*!plA#3^-u_WjL%>7sh+pcGu1@;fn&coLA~hXvq?KGmWeZ
zO!*@VHJdqGR}@oEIWzi+{n*Oer~`jr{BSHGFynXWVhJOCR$TNncaYok2-}FIG80c`
zG_?FUvTc|Rx2gtmy?dt(S=)ytF10gbk#a}X>FXRQnetzOO^7y#d#X4Romuey_yLv1
z6I`fZar<2vvo>7V=CBb*&x(0(8P9x4-GZ|LsduGsZua)pUy1MkW5tIvbs}YM1Uwk0
zSN_|M3|bYn@n@d1p~G<p%FTFQ<ZoXJOj^-`n#|V2mP71lXs+;|StB1Nz2$t(aZ?Kt
zL>fw$g*dTJY%tl9TL6s@SITjCYeC5t5y!X3xRA2@=(me;M6@EmOWzRD0%yz5QXU)J
z$mGzP!^J3s6{SK2|DI?<)Q*6CDm6T~GNPHDTq%qu2dqCOdTGL(_9TVBjevGr^)B8D
z6-6u3qXr>1O>maxRx8`|e~HDkc(I-0xEk4=U(ulfpU%Dx+&RLB_cpS%<vb*D^4)%C
zm+Kn9{DIu5$SZ)RDRYw_DAMT5$7pu;f(9I`By}oz6Y=xiM-PevWl*SKFh=yM251P(
zKBYbt#NM3iPq0W9w;Jz}6MUfoN-phl##CXfdgPK^J0XYLV@raT_%tDRK{nv(pa^Q8
zzUOOYs(`UM&t4u%)dcoq%c)l{iXnT-yUB{{ig;ofc6ae;LBmU?ko7<boG7SxEXha0
zkGYz`I}d9CpKt(a#90b0!=|5(XDH({)}g%lrOk659oq1ymd1{|59xj~s$$!TN!>@8
zWN`Zdwb4y7D6%ah<9DnY%Fuo6%K>eeW&PZ+*ei>6Pq$bJOsM1J$^~s!q7Ia3zL|Dk
zl*88h_8o(Unpm2?wUCQl7tUD4wnp(O;8x=K+(!LPUIaPJbcpN0ln;-WwXPzL>aT78
z(4>VeH%L^c9r_SAM7jBQ(|11JJi6CWmW(d```28H4dB}FwND%VBs^F|JQx#1Mkbzx
zo@HhuXc|vTUfrjR;Zb%UxKqfu)8=V<>SjOaC)4NgJ8p6}h@me(l#Gw(_nf-GVhXa!
zh5h<Ms>qphr-WC5j0*_`ch=9D!IdpWpM0BD(X)b0B%)Fa|85s)cjch~^`_z(ejPPD
za%k^<yLnA?-g2wL&>Y~2YwysD7&VNK4th%?X<*2d)5Y8`0Hb<+jXvpWDC&?$N8(b$
zH^#GT`7u=3&hU63cCQ)+aZfEfRw<*6DM^0)I~5$&H+<Uvs^YHhXU%s7l<+5qhf>*2
z3sCZ(^xOzgMf(@^rk?}kaY0YIaVp0GbgyrR>3kJ5SF)VCRVRb`cD7SjA6UTIm3R`z
zrf2mr3yz)<mBfK`I-VboEkK}X-;ik{2`ye9-!>&8f>uX7*KBWFz@NFji(Ac=&{g+X
zEPK2F+JB#1dX{1V6ZO7<?%x#fvZ@Jlmn#8%%cV#JYYSNYy2boliaa(cws%hNVMp)Y
zxCisAR46umJyt3phq1dGiI!4~=rK}J%Y2;*-uk85xfPq7%G7l^)VWTZcKWzj3RJLP
z?Bk9CX-utOm>sZOroC|LcDeZxphe#&tl*^to{Qobx=%Mn<8$=M4~hi%70<%&rXhwq
z@&f;ojfQB>v&+mcSO5qQ0!kGh31hc*X~jfG7ma=Hw{wso1=u{_{oZy^5XBi254lxU
z(P|p<w+3(eQ9|l;>pq*!f7+kP-T$VV@=fAnG3#YBV5PEf-FM={Ob*6pQ*$j8)%I|4
z?JiS@Ph2bCcZz^|$r|P^g-EH5J6ILNyvZ;5ED68Y+<3<Q-}&afk15;y|24~7o4~b0
zcFKFca$sk%Ru+SK14a4!Qu+2wW4LM%rZVNY*?S7>Rw<?zD4u3(lJk8=U=mi9eS)3^
z+buJ@UmUEak(Cc;f0Z|a;NKBxR(}|A$4MfUtNJPJ9OLvVPn;oeouRiEHDbUa&GTpP
zsrAr)?il7b>ob74$N9pu^>kS29+VM!tB>~cV2Lk9#{jN|KIJ~qu|X^P)H4{j`jIx7
z+fhGtd6P$i)Zw~|e`w+1|426;j?$Kmj^F0}rw8Af=XS+3|E66(5SwDpFhQI0q#QpV
zq6dmQy7&tX*Jw9O*uJuPeWUp(n`>AO>H?9jg7XsNDveo$y_1tRO?&_6YdyzKUC7Ie
z8>}Jzq8Zq^QDb!GX$<9)EnOWt@IL?m0RR6CmuEbdZxqMvz4zYZ!Q=4^d)>#ZWF#sT
zsWglT@h@Z~qhx0#tBjH)DTQ=j5>cY4kcg5b**oL!?Rj-R=UmtMeZREUuG6!gOL+F8
zmQL*84Bl!Je$&sI2C{tmM`<gIxMOmS*6GSQJV``f;9Dyd)+)kh+3`jEPxJ-dpu`0{
z?G%qG*KR6Y)+&#AUAKsPu`xf^iCDtP`|A?NyD2ak7vX#E=OS(w`0RRq+zL)7?DWR#
z2nAjdPAk2{mT+I^%Xiny*Kq9Ew;fmilEFF9^&0o<C0uHy)puiZ9cL<Dma>c@L&?2c
z`F5ep_{c+T&)d#hxZuW*xSJwms17xF&wp?QmyoT)73b;D1-<$%^<!Gl)=zZ`^H{}O
z)P%owJ29Z=vwb}wc_ff2KIEvMyM{-mZ@8c7VnnQ;Z(X<krU}v?o*6}L{=>PQ)Q72F
z%;;I!`+_DlO)wEJmgP_1z(<DO1l>|%Mfae7LE|D3%CfXpG!Jayep$&$XPMd2;CuJa
z{hu`;D8GKn{w^KbavBcJ;N?VeZ_Jf+4K-jTQ*!PTqDNmfm%(NSH|n<e?$%nS4zB*(
zPX(75kfD;N7H>5#@`=2BSW8+R`hEWGqS`Sb31#&+-2{HLaZO{;us{v;V{yrX7H0G=
zFySCuwg9Sg<=`ArR|7%L-gIUURun^vUT9SoLNun`jApM0Fn8t6%L4><G*^Ay{#CCq
zvMI%qU;7YXpuF%+lNcu|&@j8%TqTOCPTk^=R3w0AQjP9CJ#I9p6L2>Ep*YGgn$6Ui
zR0SV3q0I6tyl7{KbXnt9Nu){q<>uF}3g1*Da&cCERR47(^M|esnm%ImBd$>uq^#MF
z(Rm6WqR)#RsYm5djA7Y}XKz)ZTaWW5{Vzde`EpDt;e|ZP^HL);FRQ}oi3`d3al&ZV
z8+-e=I*N$>;y0dUD*{XlcrsnxDT+QHC>^J^Dj|Q>(gm!60De=<4tgYUR8)B@de~0|
zt=^VgQgKs*F;{PkT75~x@F~V;Nt1vqXLfscP}Cvd)UKW=PidqaohRf-r;d0};jTTH
z20YZB*4)u3i>_RG)vi6Ffu!Q76Z*+Sm@qG!`XnKbl5SY+Tx{1wOB{y-_>@R+)UTQt
zc3J^x-Dud%uhv4xS_Z;+n8;9<G;rg{OGWgt_zj;^D;f2gY9El3qrja0J#A}(GCEFo
zChlk%1&#FOY#s5Wf}5Vy$JZGu$P$*q{Qap&pPBA_=^zchX8X#hFc464*Cwf1f`-2L
z)f}gb)PaIte?1c~H54mDeAtjnLnp6!<jd~T0~O)f`&XLOQ6syYN9a!)x@#7$`$@+D
z-kd#j*Os1$j(tS&bu%<{EcawqqmdDOxLq_hA+3q}!@GWs)X>l&pR^o`y$MLnC>NaO
zBB7}CzskmHH01Q)ao;UB47~5Fu}i)rp%<I>oqP^d<RzwZRPR0jA-*v(T1N}zHl4nC
zkw8K2q4kW?S!NJNl9&>A*FuxJ!b#y_TBzi1_sDAxb2vNeC?spBg{r12OltIq$TukQ
zUJthgnDgGbB-27dF7!>i>F*Fw>_NN8#bgUGc;j`E%s@gqqYEALQ%b0g+a&(ts0D=3
z9o^f%L`3yPV?pP2<Wc$+*~|a&Si;Y?Ly2h>8t8;(oKb|KB+8z$Vh`rE1Uf>tGlzyc
z%GLfw8IBb~-<2z0Gf!H8LR8{y+e-wbS6vy_^Op;$OgZ&#mRrDLB~kBVy$U+hN7$)g
z&w$8oIcv=h7I5qGxrZ-*Z1?fC@$lj3Io#-0+lk^I<{%yKmv6$Vh;o1_^Qb}x&L%ON
z;p$@!wJHDgZjt0s*7*SEa)}X4^=jA8&wtDyp@i&Z*eZkEd%a3p*Jd$&{GAu0ml@0n
z&$WGbl0?fB4GvY}s~G!lX}aN`0E3j46YhLs=!Acp9*5;7X4R&;m~sMuoO<XzKZ7tj
zC-IBiGfoGo=A|xM9T<qe$_Q&93ZUf?iMy-p44|3&pi-pY6k?S!nEMrZkxrr8(a+@!
z;B3jtxMRu$h{axpKaO*t>O4tU_{9KAH5B`PE)($J`*JQwkOjs6Y0BmJ#sCtM-M-b@
z#$cvOnm9>jK&QL+c<d-;fXmVd3qENCp32B%_o)s1zw@tlytHM2U&DQp<pqY&S}SRL
zhOms6o>Z}=AEk%;L3QcP-wa^GLi?wB_AFk=7TFp3A3eBKJ#sfB7{K$L4+L~9f8&hz
zSyxEh^bqDVVV`hbA8eB%mr%ekULL^kY2pDL#9Px+jNa)%`9C!=9nuH<uQ3b9_oH;M
zD5971gP;et&5zo=50~Ta+QS{wDs(_0)W#?$=z^N{#Wu6Xml!j7_{BIQ9RxMcM_142
zz}WRySz=`$vBqJI<frpn*pqAe9Tu)Sp!p=r)^>0R6TCWWwv&SnmJSX06?bUE_tMjY
z?&71ENbkm&jV>J|tACcbWu^@lm!^bEJjb!tM|#g*M$o~yK@qn|0}YP2_7%(fPhugS
zIofAO>EPTwdd(mDG>G{4*=1R724iM_^oz}t9xNZ4y3Ev5!AJOLxXbb^)+<$LzmJ0f
zUS=}QX_!$#BbYmC^yNJEG(zOJZU+PGp-tURcuRre#UKYfVG%QNSJSM2zzAqA+==xN
z1u7^nC$jb}V+r%_i?TILa8x12wRn;Ykw+T6>(o}UMHK$y=ND$MAUybc>N0t|&lY!e
z?tfT!VxRCkRaR)<t6p(Th732jWo(`@Z(x;X4gue8vVj}LkNrTH78npu(sPP$VRa!r
zrRNMdKq`Or`rDTzSa7yja4(~Sj(XaX79$tDmBJW91W8aC(RfO~haTz^tnPEJb3-XM
zBlzA|6ZUd7tBwjYLg4s=$UB03(Dgf9^hh@mjA9<x?Fe9kF9UmGcUtm;$T!i{4`xIl
zb}{518fOOL%Zj4@Gy&i@^T^(Mt^xASb~fY)R@h9u^!CiAARN$sqc~xy0nP3O`<8Xs
zL365KMJrJlyc`EiUVl*sJnVw%h5#o7?lxyRY9a~`hg~V`QR-mBRI_?tj2mJSpMs^3
zI8^5i*Pqr^ho#PQfr&P}kmCKfT1Ze5jy+13o7hr=4B47}5})}Xw_X3nn2|I@up+j(
zAvG|{tJzm9CjfLOgv}FEWr3A&u-5vs8XT_2c`D-s!R6XfeqDBX=v4Y5BKKPj#B{Px
z&#?<b9nPSma!diZa=D+8CDq|Y1zRE4eGv$_nS7S*y&_;HCwEo)s{>EalAN2L7@SRz
zPt@M04D)H!rw&u<u<POLuQQGkkhbjKsynR$qdISBPB%25;l>KT>j5dS7QdaGd6NJO
z`XzTxo+pB7g-~TugbeI@@O^j6esu_I^cGG?)`WP(*K6w`2an&cpXrt$!l#_o;;~T@
z2(m35Ys`{|*y#g@wMR7J+{O_@V<1EE&LN$#UInQ2o?rDV(t_MQ)$L9+3b4gl?*=6$
z&{#DTxll$1W{0i=19nu9+=}4eeL)$Lxs(%5o}oZ%)4?v5wC(>Q;Hz<_O9fQUUeTKt
zr$UGpOH=i_HVAZob?V>dl$gVjRSIQP@EG@0{FAH;%1orl>wap$GKFT-S!n?4r}xEJ
z=tJJxABC_x>L7VBO>jY*243lYMzw;5@Vuj3IkrUu2trN2$CYW|pnC7z!lDtBJN7>j
z#)&|_ULU&9Lxr;>Hf^>c6L`cRRCg&s6YOq(+YB_KLXVwGeS9MZM&c1&4`oO|m5F~G
z;7Wm#e<3CZUjj5djHT~BM}mh@!Q;9{WH@zrX0toZ40bN<T;h%)L7VN6#ciYsnIf8>
ze^{A=xfAK6v@HpmsOFDI57oi+{{E%RK6BWR964U`RufojM?RT*s6uU-oByDd1;n5A
znGImp1db-!hZk##(0_!=Hg(McQhbD~Ikq&Q$-uQsB3ll=`RyvQs<42XT)&P`qz?Ry
zAG&2LB*56sQP8){0)##KZY4UYLE)PxcYfX!f~h)&S5cQNKxk5GKVP#d@MvFT{Aa}j
ztQKEVZ<<-a1?zr&X$cj$sLD^j?;aC;>y0JDq&YCRd!P66Py%y<4<D>2R<PcGA)dW)
z=D_-eCeeCV0o)>eV!p?XVb2t&%=U<w19hxVvSm&Vpz^|C*Zpf)n1I-qp9N+xn9?}U
zmnH)lA;0biOb_G!f`hWGN@kG!U9!j1T@t#V+QllUOyP^B^UqxF0{Ai$xK>@nAlQzs
zj(>a}4`_NP)ust>`yO{^++|@9=Z=zSFki-bR<LXb9}LcTwhUeUE&x$~ziaS#ui{~y
zg3WoCOkw(xuT#Q#KF}Pw;4zoKhA)?gKlCg#0X}c3x9c%nFj{u_poPdkysAuJPpZWj
zl7mfVEMwRp_ydRAeTILy+Q)#2mvcr?G~CvZGR_2ATBpX@uC3vA!e!@)1S9yEkdjZi
zPY-&{jKTu%SMeLq4+JuwGz19XVYW)!z*bq_+E6A}aHBQn$?>}ez{_y);bY$wjCW%;
z!EIp~&nsHpe`a1ERygr8?Qio~Lcoujxs@gS%drwZRZD${y%v2e^T9Ocu|BI4!m@<#
zyHwa&o2v(hgP(2PNg2mR>260JR9VEO*1z;ME$PA#&EaIU^>-{dP4-fV`vUGuH2k=H
zKo>ebHospB?8mO{iBEV{JC7UD50>%2(1B8RYKgab7v^}k_-ldIJg#~usQ*1d2gVDy
zHGkc2z>K6@-&=Rg;T|-Ly3K5DDAKU)dbXZ`cS*B9QBI!2UA!hv`EY7OY>tiNf4Vrn
zB}Rx6_-_t>tf2OHGMWYjZzG#!$sM?H-#5=IF>`po!Lr|xO)4<VTph6Z+=Kt;%V^zG
zH;3!*NeC(or^4P#FFj8w_2aet!G1K6d0gSi&x6<Ls4#vrPLN+}2v2m}C|tWSk4x{a
z8Ip^qKyG6bn~nDfuDB9rS!}g{p9{PHiNa3-y$aKtMb$s>Lfv=R5Aj9ZMQ7jaqXIIl
zTvU`E`1=#*5bv{Y5M9D`+D0m_YmtFrkz61^7{}{^rfyt@Wn4vyoR%1`1$P7lecpLa
z;D1V1`<F7e_vr6B5LvtJ3(NZ+$UU3HTlQ9_8cD3-!BXq@Xa8*9)ykxt_tMk&nY6}V
zlU@Jt)r&Vx`c*YS<ngD3r|)NQ36H(A3iTWK4(dlo9d9D=6x>QTR-VI2P4jO<zi#2R
z>(%DmH5xD>SrKZGI*&ilzv7)DO^?zO`F92~Xuu|8f50W-MclfH?(%8hZU22l;=AOc
z4k}hJUNP4#;XKAi@StHvM3pqH_IRQOJ0bb}_lOnT-+UmwE`%BJ-TT7iEUpHMc3ctO
zK5O`Y3Df+k#;oXLqjgk43;~#u*sjwquj7d=pZ``8+0pN_EJdZ;9(V7sRjK^jO+4{1
z+o-BNC%SP>hJGwi6?*n`e$y|ZL(0pmdO@Y!=!KD%^}i(*h%h}VbDWL=RmaG6Kau1^
zr^e4ul*Xt4uXx~wKsX~BV+`IXj^Rgrb0k8ylnO9Tl<*`<Gb7y!@?!@+L6n!*D_(?@
zp=hIe(B>x#+822;w6aME$*vzY^$k!4(QiNPIQ!Vp=EErco|_^ldB`c|8+ki#jwb(X
zUFARxg%)*xZiyjJ_KBrgI%Vjd{%KTg&yAKd(uhjE5-6z9MVN6^2}0S!Bgg~1$o7L$
zTbijf+NtUEeDtdl_z^=6jXUzA4^P90+yk=cKt;j6zf($}{7aH0=d%DRUEA#%bwD1m
zmRMJ_%P7O(E)&Mta3RE2eHs%SQa}Q?PX~AUDFYYA5vFJ(f;h9&L~mSDLgCdhp7CSK
zaPE@wL3I-`WWl<cU2Ud<40c?cGrOh&k1mtr%UmST9kG(84JiUL9N)dwxt$M{z)Gvi
zmqIqZ!Id3+>L}Q-bFTJ00j!!Ix@U69qCsW7nL05dDqmtN73)%i8ghKCZMPgc%NVQ)
zBog|WmT=QMPy>R$UYBU6D4@N~d$<&p$Y{F0(niQz6P`_UUv0jvh`1;A)w*a>kkCHt
z&BsP9cogX!Ag7>=Y{t}8*fprAW{SYSY_Of@AN!`xRH&dMnhlLekcOUkI<>O3Q6bGZ
zwd%e;0ohEXJoWlYLk0uRh3r?g;Z)2!F};^+h>{d<RD3}jsdz~2G!4~-KhaT*Ri+x~
zL9kfV=>cu@Tu$VAMy5WnBAy!6Vj{A;O3dR}(MBON>oejX456*o^g_@NO~i3J^u@Ji
zZM5UX7raHr1Vr|mUwt)4LhQXxUnF$3(facqzLql>bUz*`_J5^?ZbTn`d&8E76rW|)
zYxe*|We<N1S0N*sD9gb&>{Mhg>-YTImu-(zZcj}&Bct5MuYY{{kBsyq^Uw9XG>3g5
zKd%Ln$>``Yp}`R=O|<wmfx;ba0ZXAX6RM+Hs5|R#yqKjLy3A&}UsAvl>h2mxDDrBd
zPlBBLV}+Gb%dtzN?Po2)-!-mSdt4LM?wGae{3VC<9F;#h-L!-ws?EW>LWpSnRX|K*
zn>f-soYg3pV+jp=^28Q8)se-T@LIt^0VL3tw)xJ-5>9BWc{(f;&{Su=Ppk(k%K4qV
zw^`Z}@{jXujL@l~-BzmRUmq^xJ7bG2@Fx}!dTOUz$*L0i_<DnTL-Ye)#h!I_w~+<V
z@33z(n^HiCi^d(V@(T+O=D=j1n8W2V34y%da)_hKOXiU53N|4ncd?UT4ia)@1exE`
z=nq#{e$WsdI9YUNRp**PrD6{22Mr0teLa-X&xZ*--`iC!aBt6ZRO>EhsR)X?_4n80
zBnzxD1z6!R00fp`0inZ!DC6Pg>y#`ukS*@kI7J6=BGgtCbL2zz*;6lMv)O?b_hyeV
zBL<W5)4B_MoJeNNxHwUi1D1lg=JxWNf{ctdN5K{|DmQ+VQ)S2j59@Y`{!=%B1un+m
zS}%HJ?!k5YnluNr9g{9c4#rSkLUrm-UBhb{g(#nT*#R})>iQR91l;j|a2eHk+?!s{
zKKCL!IEe8`Pd_z;N36UVu57<?kWG!7lVAtSd-8z;s|JwxFjFwc`3o*S{dn}w3pUUT
z@7CtBG=PPvyx}uvALF5MZ0aBU+29G!72cuk_k7}Rnmb4PTkKe+@5(`aHej3#T5p=t
zgE<SeMEb=c>{<Cw`wJ3mQ2p}QyotRY<o$6QvD5s8sWqe+@kz1)oo_UCvPKui7=%02
zG^VhLqV;2}CT#E!@U9S9T`21rOxNEvhdH#|FiMDK1Ij`KOKGYOK*|yM3TzP*SYcbY
z{L2QJ4;T`SSapE1gHvmnc?CQ8n>?Bp!46M%4vL6h)`p|v@2geru3;K%dkPEmIH2sT
z994x$8$?nQ$M#V+Fqe!<-UM+@=y&G!Jdi+xwYTG8?G;<tPrl!EVai;<5PqudzAz1n
z%8y%L=A#FK|J}AHuH4Y*aqtago9mMjJWCgC89;i6(%IXH2mH8IuWW2{H{BEd29Fd*
z@K|as^i$&lw$J<b(t0U?pV(Zi8(@MOsj)M89Q@$k^B{-u0tLG9orfRmumD-x_WCfB
z0MxZis8-5QpvyHoX}pLP3MXIkxrqyc-0Kew5pT&5be%4%Q;r=H$GoEKb_s#8Y|PKT
zh;1(}`=izNi~};{Bgz@Fguyo1-imBM20oP|dsWVG!OiY~rvr4Npg(7zA-ALj{3Dc7
zqA3q}7*CfQUlRik&2k3A1TA3s*nzQ&^Fhw_!(NwkB|ta)VGx<D1?3&L!lIP<VK8mI
zZIV$6?0eWlT7HwD6nCy=u@(R&(U!dQ1!<u5>@%dVBZ2dp`K;(gL3nzkWFenP4j3D1
zee{b+kj>kuBGE1cok9yd3i9$W-e~uV|27HgV|5qyl0?93zq!Iw2L-s7x88lVi3HKl
zt?~Z*qENQ~LuOx!BK!^i%)3CZ1(GTpt+7_(U`qWod2v_?3~YAPET7VXPI7i~?}`LO
zcXtTQVJgrB_s+&GXhGjfy6Ir66i{{4w4YR{LT0S6>&XLT$m0K(!Cxf<A&I9IcgU%M
z!yv(j`Q7&16!&#VxX3}SoN>oijygO&t2}DzMgh*&q;~=*<iSh2O>C5x2w2tLKvoVa
zBwNKrd<s#3J+<$CTn^WS{&?;0ET6XdaDY2sC0h}U8eSa!)klJv;G)74I1RQYvv~#U
zl%Ur6e!&|~GU$@Yd#<%>L*#qwJ>LeD;kd-&fuSri#EI;k9-Y&He9?;)8*3_{lauk$
znw0_v?;6=;80dk(1br|cKLM2YcsZTePk~#ZdKI)>eHeb{oU$&e2KB9Nm9N4n;Pc>6
zP%*C|G`wpk@Ug1{TWMxW@p%d?zn4!~OgDmCLc6xZUmbL~Eaxv`6qt9PERU8n0e-m=
z#fwQA;Q8!R`0Z{o%+M7wYZsbAepSd-VL>7oy;%!<K_-Kg<?z*Lc7R+&`%Cd8g8D8K
zbC+i%n6-`hKJWwp|Gp#E<O&fS3=TBPJ|;r#klM1dgBfVGJ^J9_PlVp^)giMJ>Ogc)
zb#(b)2EM~Ls)J;S@X=0va@SW?IA_u4e@5RNFlXbpomm<%Qs(>a096?}!X3|?k2Z%P
zr%dmpesvgda9Z0Ft^n=+dA0)&%;BUXdui>Y8ho+&xhY#F3$tm2wbL)mVWPlT{M}~)
zWN;*=+)I*xwG)r;s@9l8=R*8tw?b8*-Z{tQ{9YKEUQciGrJ4ixckY5{dljhU71GR(
z;fHVQ%g&W9<`82vPW7Es0_MVZQojD2Ao}X*4B|6~3p?FH|3xW6()fk=(Gez)FOQtt
zYA^$~E!+N6f(oGR$ReimbQ5c=!^A(knSptS<tWEJIk5RO&wBj!B9`{}F_*<E!1LuT
z`h*M_=upkSLVP}nmH1!wZcp9z%DE-po*79X9LR?9pb@O}<<y%qD%<rU@$u_t#bI2$
z;zBG}Hzt|W9u#yQgC8>Ai<5;#L4sw6%Y^we?8@29*2-d2NL4*D-uF`o=w>Eei{$fh
zGt;eJg&q^AXU?<{+xAc_>wD>eJ#{!!#($i@SWIB_Zsq{mzF+)(mwF6o2tTM&rCx#=
z1J5hLGsQ1>AY?}4s@Cflc-aa&)P@^@(v2(6#Tz-dIqti1|G`>3L*$ExdDFI6O3M9k
z<Yot#z22M^UbpaDjVlE^ISgUoT`B#_Jr)RDs+!7udJAhv-|t=RVgQaz@={nD6STd0
z-Wp}!h`DXJMIE@W4`)T1`K1~d;P~?%`pw_%7^B4aa~@`W@Txe|6r@NG#cda2I_A5v
zw1STMyT|olZBaP-YQh$V0!D5G()zKcqV|^MSGoW@BC$Zd4b0(f-GWomH%wY-;O2V`
zT@Zb;*ZivGKdf6n_^`6*4=h#x_z})*9iTQABpoha#V!}m#8>)^Va<|b|1PuWKyf#B
zt=5qh%)(n##`fKBOftE2heW70NL|+#<#S!eNWAWLc_x3cK%V=f)w4ACo0GcMnYV<s
z*TiTny3b(t0efVqzBKqeHEqZuxrE)}7neUroWmXk9>QZMsc=jv`hj5gB3AUS@CA)^
z0qd!so69{*g#$hErvzVY*Vi5u6wWVVU8hd!dMr^u+535Z-@qb98s6W2ZE+d1BdQ+l
ziK2k2;2o|p!V>2BWxbrlzlL2C6T*M+P{8VDiOi|uCCv0*O|JOvbqw5fol}d*@L6~x
zT+wD3o9qy=)V;fjxoz%I>(?Oz6Zy4KwA2bVwEs!^k1RScc@~=#o38~+%BdY85~~<K
zZs`1Eh91rvt!Gz$CV^v}<a&zb8ury<OEmQaBS`K!?zT&m1jX;wCO+Q$hi$&PYjbCj
z36f6b?T&TVgvUxG!D0Cg47>8V`Q#lIkg6(8%C92At6gmeJNq^<ffAFO0pV=m8p2XP
z%u0l~qa9&I$LOHtO#Zv7Fb??Q@5x%@sR2bNk7SVo>EZFCPrG-NaRE2|QK|H9b;#iF
zFc>RjfUj83(rtQP2w1gA7q?aiui4_Dp-D!FyQ#UT-_8fAy6IMIuhbxMc^C3O%nY#|
z(PiBv0eG)rnPP3H2D|^fuhXAm0Z+`?QRlHB98xri`TLy!1}Q5tf_K?~$DrjNpQ|uv
zxXwE{#1R0apUII-<bVh94}K}BiGl~W)Bv3U0Y2%#^Sk+6kWPP%Syx6JzA3#399>t1
zyris9t6?4}IG=rK)kG4E{gh^OKB_`ww^w{m1s{x6t$kllkcM`?hVtwtRcNn`5b0tR
z0Ecz+j3!1oh|hFTlxtIkukm~T(S-^EhiZ#=#UXjvA3<q2{b$>MYyAUu@d<;&?;+OL
zZxrB<$n>sEEdtb9vDbUGiNNcu7EW1bB`CYoE$VrL02fmH6eo(s;Ibwa=U!5VR;B+s
zjY(=y%CLTFrC0)37|+EsRH;I5$sK8q1vNPNUW>`3T?+gk9dI_js0LD0)5<-w>QF*%
z@G29O1rg`L!H|O*(BJI)e1%Aa0V%m0p(Z)_9{>RV{|uLhKh=K}#;-lg9@*Qyt~=ao
zukUfGl*$ODlA?&Hq+yg0B1KV2sU$LgT2>|BkBo#UWRx8(d&~U!2hKUK*E!F5p7${O
z)$nwnfOLd+mSh11_~l5|#(XLu7jh%gk3<9iv!_4ChtOas_Hl*%AywdRJYE|UNry8P
zegD;dqJ!tA%Ok#(YEZm+FptYy2k5J#N6+vvU@3V(DTJy4s;1E+JjM)Q>LlTUr<veS
z#M_ioHNh0gw<(V?ps!twox-CB_pb`ydBjD6(XA<-e}b9tvQpjCq(&dKu88-xxNCuP
zuEx2ruS{?v$!r+NF@)Dk^*49tl0l)Uhu}8Ngo}oR{OlZKIDL6(t>}w3D1Gqiaj9p5
z$uy<9@wF+0|J>*#&`1H<6NCp%&P*7obf1l`HwP8P9?ytdRCs=WFt$070W$AXAAa=&
zIGLbc#*n1}|JzM7QsFuv9yPB$?`#2Q_KexgxzOPGLElfOh;-;m$hv1pVL^drCA+>2
z4X&Qa95o_Q;E3O8#`}I2EbHo&#*9$G?@HRw=3ElQPNU{0CoEyFvD{W(j0&>j6=j}_
z>d+vs>UR9ICB)a#xp!=(K-!jDO-kk}(A45;eT3TzsxKz9csFPRw^AT`BU2t$9TtPm
ziCV$lI3YHVds>imb{jcruOy^YiywWlU<rk_!G1DJL=ZmCGgu-m4BrDiL>`x0!bkj}
z_(Ky-VD$FqSE+G9!SYX`L?27&xv3*=bW9yK>=W8zZaa@@pKkISVz-29Q(GR7YpO8D
zuOi{v-HqM9w$^&}It$8oE%&fqDuYI%cdy#buej{*nBg2D7Mv?(NY_;<!v5uVLOO!u
zIHiF(5qRAK#;OL+nQxVYxrl?JBQTGT2j0mx;J1K133b0{bJ8%-Tffs_Y#FaAX&1GO
z0TA|lbfvLF0<?IVbdLuRQ1aclc6~ko^CbD{Yty3ebt#9UgtMVihs+>NISitw&Yiz*
zEettwEl;~Hu_Nn-XzMzvIq2pW5mcTFz^Z%xlgKu9<X56@Q?=a;64~t^;}$%y;ANbz
z)XR>-!Z+U(Ib{loq?=8<EI8nSXaO$yf*sAS2D^AZG=beE-zq8gYZ$@8D(;pWJ38Wb
z&SBSAWAHFNLeK15z#bL6t`c5kLzC7&@36#;;pVF?rY6eMn2Bs_Q1dl56i`8TF5PDY
zuXSUy$Xp{>u#{D2fHE7h8Mj>`WgEijmY|3Ce-B{oU9WQY;RN(cqWqxTvH`TmB(Pbf
ze8t{*w$-Tm5|H4fdlt&h2JkbZH2Xqg8J2lH<_kfafU>s|xH^jTLFKv7w;K5p++d;W
zJ})}~p_O>sQJHle?Z0L#;r<1$xgK+Pu5S(J_q?JY6Qu{Kb@L<HJ>T(P@jDA<C)aQ#
zl^w|{GrAy9?SS?d58z%#x4qxW5zw0e;m@sJx{#`RK$%bO7k*@)z=50t1hgiq{DP;C
z3FL(7@i5(C-2IsHi`dr$H0qSXcJBZa79G<9twhK1@u^rgaa}g_n7b|8zncN=uGyj5
z9+P;MU_dg@CpOd`Od*E2Gaz-Js+<vh8ebb|xo8^2j`Xx_cIFK0fZD=g$AtMAoL5l7
z@`Wo08j;eGn+?<fxo!$|5ud|59Gryi?BPUtUZvx%{5l|#f8bG1!UEoXq4kE-87}18
z#QpitBRcFNJW#OrTg2HME~}*$aU+3-$hAx(I`I4zb<;Yyj89i}N4m=MBBSt-FxzJ|
zkj|v>$R1n8)$;dII{)KCVr5#nGBZ@@4R=;_vnHULpIng-yamvC&y*{x7E}mRD-HU3
zf(>Q&>6OLq-hc|ZUY2>JP+-eBlTM3VcGULctYzZ~A=JA#rQf)y4V#DdoQYWBKyUGs
z7iW8gkxr9SLcgar2%OBziaE}OO8DLD+EhgmFTIKG*+YgZp<Jnh^W2EiLpYWcErts2
zrSGwIC&R?qO_zxoyvR;HbnFYC1hTCsFIP-!f$dqTIr3S4R1hA)XnZD#j`0vn<ZfvJ
zzst&Gou43@`+7;VF<2UP3S7(}Y}SHLp|;DHZ*D}6&p)J!_{ktr*u2qxUM;9N`*dv9
zUl?T#5ih@skwX$s>&8y?k>Jbuq-Og<5mfFpx4*ne0ddzE9RJ-!f|s^Uxfvp2Xs<=e
z`7e)^Q2k|A#n(;}e9{p6^*l}-?R)aIu4qab@m~)dsAAKClv;7JyqY8mb^f{K={{A&
z7S}8P-bM>}<Si!Mx}*@_4ypU}PBpX`U-a`}nHIdCSY^vB+JrpsrkZK`X&_IJ*t5^~
zlHrPD%d@=avS^%qu-RLjh`LmU**9xw195z)FZGi=68*{`W!96BT58KF0Wt+vAF$*`
zxRj75S9_9RJQ?*J^|vSbQ6Vjcq1L6VjFv~R1Hw)elo#<S?&TB>R!$t<qj_2dH8zhg
zNJ-Ps$lko(>^?eZ_{(p;{#F&)T+~)j_oO4?P5<6>jp@MQvHOEP8`M#QtkjetLkA6~
zyZKyFXTpQGtJYmdG?2^mg`k+<I%w;37CscYuDhKx*JR#mqT5cs)BD31i071=Mwx&<
z{E3dtTHqt0w_!fH`z9EOke7KkvDg3%q`b#-w`n0wuSz3H8WTy$6siYaG6FwAFXf~D
zWOOC_VaG=%6ZMyhyee}wfj<EuiaF=C(dOy8V9R+161AHyoZ4&#I`x<8%N!_3ZQuB4
z&lv{Ny`Ls$t%boAv(1*4|0w7I+sP!qJRLOFAN}d^MSz;Oo*T#9si@pep|a}%9j$cb
zB%E@zfNl7!3^SIBvJv@j*HbF$-n;AOf(Q$Yeku{hy{PE3lz`W#0y6sYL|3)y84JRd
z{Yc+dDCn6-!EWbMM6|*Cj=U1d5)2c`*UENKP-T=ZHYlKuMnm<ru7p@ZhNfealZ!TT
z$UM8|pRSDVb*LP!dTI$ZM8cnCEiy7CTvU|JltV8cZZH0rZwZVSW69j>`>r{z!RS9O
ziJtFrWNy7_3GInP;rv!av{_Mq$3I*c{pYQgBkN)b-eZP)lpkxL=31lh>N7kj^Z1a*
zTRuy$Ny&3zj;f)wy!r8k`zv^WRp+bBY!;M6@qhMWsG<NbOydM|47YVT8TZea1=Pvr
z!goQ+2sz;>O{@<8dMi4OR&4=&^tU~!w-r%nVc#La*bc0(&Bb<My9IDuS?xQ%M-CZW
z^kH``{)^??Y<1Ib0?=MQxI$-bLg(xh+s%unFt%IKA2&Dx%<qy>2st2$xO8gcE?k_$
zZa2D)FBM_%=u$uJWUd&h&9q7AT3*07=kJl&>dawq+rVBmstCF%-nCY8b`kR_a5A?W
zGK1|89-rd+ya5GB$cM(LEMfO2Twa{xH3NRt$d@Jsd}zt-9{+W{C9GX}G2kxK6i9Ei
zd^SvTA@Nt&-}81ZVu_#sFm8F80OQ@^!x|~<$kDe^sfV_Rc^>h6q43xk5_`9Q^449$
zeF}Ez>~sEyRh(7|Y8x<u4|$~2l%9Y1Ohk>Nh{povBBQk5o@@kzxe^?HDzo^OOP9%S
zyyh{t{2Myz!G>_aGpl9q<OF_0K9sTKKZpIKepDN6Gyu7eb-8N6fALfoQ*rfcvzSz9
zN5~G60W|Z*hG&fbz*TG%E!yABV4pvw)r`mJ!|~IToB|GA_*Qqvd+~xZ*bjxvOV>vA
zK(Jd_>9lM!{;aNQv*Lwmj1+A@Kj5qfvD-6mzmk2AGpkPd%L+|n{X0eSORIF@lug;+
z!$S#pW$<em(uXOGFIQiuOJ5iM+i4~Bx~mkEaJov^mN|tff71M_{2vpZ@8xT*KlKrt
z`OMxfoI8c7`Q2f8Xfoj*uYhPoMl;qIHTLY=*C}jm*tRk>lK~uWwSS~YcVI-RqJzW4
zX-r%3ScbDE0}_Kr2(q+pENa2w#LXwu*y3SE+2?#6xO#^-fsfFSd2qA{nQxiFz6N9p
zx9RBs^VeGRJG&oP6eZm#MPwH9rgNk^yr;uK@yG_0G=vo#Wamocp2MnkUZ?0e(1EPS
z<LlG>3p2BDr1@&hV<MLaYJ2Kv@M_1?%rg>yF;`FS@cPpWSW(;AE5q|th-!D0RXjR^
zC7g(R`)>3f=J2Qe-6b*=YJF>BY(I`+9!F0mR;DarnUTTR&7&09AhsIbkuiZ0p8u2X
z3|hg8ghY4BKh=g?mf<76=O(cS-ompNZ?0kc+v*ZXqhz3crf*C;IE^i>8P^`1B0zYC
zhI6$s8D3h|$2IrPU@e1-g|epXU>Qo46G+g4p~rhVPlnE6S+zwUlCn7fLvUQ>@4D}N
z6kmxqU%)<SD<_v2b3sH+x)N&#36|d-7!Foj#0(2%A{%G9p`Am6@~VgkE{QKf%XOEr
z)CTlAxSJQ^CNh4sXb@q}p2SH%vx;ejzbPo2<p<u1mT}oMO-PA)qOux50MR@CRkN%O
zAUs?ls;r_3EVF<99d&F_G#DTB=c5qJ?uVMx|1==gUb#PgJ!evfq>XyEia@&Jm*LZv
z8qh|eMkjvf1o7J;<b?)NKsAO1uLsqk#7_UIbSgJ|qpPJ-&WpnvWdH7cqB_I|2kje-
z<^{n!RR^wZlY~I_X<iLmb+CDR1O^`Q!?Ry+4jXNihP&Y*QjN0eFf8B~U^FZU4~&ob
zxdq6;>D`?i+)HYpa456c%1;QwHrbg-evt#k!$(D8$JM|n+atqLLIg^VkN?Iz6rphB
zQ&Q5h8fZU_c-@dB3T>?h6WWr>u=i=r!x{DU`lrTsT+tPWyWBKh#bg!G&I^oCJf#j>
zjrW;l{gZ$OBNgA@x@wTRZDWW@pE}&%S#*XzBn4f?)-yKa>fktAsX)7+0T%~qrdt*^
zfq$EWt!%X>>^nR){bai)xMjL+eXl16IfIGse!e0BZ*4Yt#eoQiORUrVQxza6z|`qs
z2^j(l_IxpZKmy^GBx&*;CHOIT^S4GF1r8mnT0uHwur^}y*GwwIwc;H9-vcxdevu{j
zPnrU*k?qSyZmO_<%&nQaM2F9W+1Ky)(ZJ<F(C_r`YOrvuP^@=R2T~=UT7O-ogX57K
zhd#S&0Qvg0O<unkQ11|Sbuxkhia{Mj(Q!?f{Tr*!R?LKq9ZueC#<~!3@h(*~hy>;p
z|4Conrwd9`))I}%`p^+;<o97-3w{Su=A~+Np~qv{c39UCRNiTdB^=U*l_g@~uSs2q
z!XD15`542ZvDA;iEDHD=t{i;SpbNL2N|zfHn!@v7%0d%P1)<gX$a-5{xRMt};9$o<
zk7C}@mr8@d^J_gG=b3QDPL?bG5x~n26E6cd(cz@uqKV*U27C<rIboP*0h3tsd7>#D
zCZ<|V%Ml$4E}vUiy32wy?G;1{lMX*)-7f1)Qeda?zpH6(mT-)A37Ia^KwAm*1+9^w
zIQ3hr-a3bh&KV0F)uVxer)ouMhdLxPrniqCw1S=T-_`u(sUY2Z$ulcg8ScwuIC&&l
zK~~#PX~A1<a9(OrC1bL%di-^*=Upp!JEiGvDo2K}m-t6|kr*saJ^#KtzzR++L@m#(
z>v(ZXaoz7$KG+ccIf+WP0<9Bm{`Lnn!FbO*k&wA1OzmzW*YgjS(Bu^O$ZM}USjko2
z-}ST?%PN04=x=8UrE%{Kly<3t0<-@(@1}m-OChzup@9Vs)6IB+wKAv&Oe(AA%;H|z
zXQX5-Sn&PZ82whd0)$z_mp!jp!>_Q8@$PwL0k5a2vIadeaLL+LUNnmX9lbVEd`!av
zif4~6<nNLKf5OzQMJI0LWq0>#dMd!5qjL9K7scS!?-&kkHC|+!b2s&Z6u`aR96gag
zg`p@U?IO#94|(?|bzGxi;Dqy8k~IY3-XHE<Qac}#wvu|4Yhn%#34dRHT;ql^q2kRr
zA3r)>+2*rnw;6<cOWb+n#16+l#DuKP@gYhizD7M~3gpj2BBxo)*bX<Qba)9L`tXPS
zM&c6_c$#Ktv8`wZi{m;RBJIY926O^5YQGsn-}cFQ!NFl{u{n2h^a?NXZP2X{l{E%s
zQJ45n$-UT}m3O|%k9bk5l+X7!9!9{p{p8i9iAro=(zh=GJ9$y^*+)w<g@!Q2Eq%we
z@;$DhKHyj_#EY(OtQ|-bFofaAwZgjcZ}=<W+k0;f^B}Zmt4x!(0aUrLZP>;b!dD6k
z4=fMzphvp*&Y3pqLu`*w-;V7gxPab9s^A(ADj!#_Ni@`l)Jy$h082o$ze4L=868B3
z-eAg$N?5x{*R%D2WJxSiIy{3Xc>H5S4|vh!*w~Rdc|E97W9N$3p2w{^cCljB`H-vg
zs9V-uUHC#)M$upX;cr3@wA^pyLyB{HzoVpeL06{o&9?o^c-@gWTgiNW6l9p)aQOif
zCi2-rj9XXnD${`}+5ZGke%E39hwJ`+tUBxTaykL2xD`M7)gg#}_i?Uu7c;;nuHjc%
z7aIx=nqU9v8<B;xPrb7Z10FZ}e@Kw!Kny?l8d)ra9^Xh$Ar9%lpy0FqV;-ESf%PrE
zy+|0<>xT%1Me0D_o`-{crCf+R<)=L*M+5~KMBvFJ9S}e7lqo3BgS>xPnjS6|Mb^S5
zS+85^Af{DgI&zyAwM)4c=k<u8c9hO$5lshuLi$@l4Spowu|xlWssswo>hw!Br^D}@
zc1Fc#0VGH{pw|*5iCWqhKBq0yfbC>-rESUvbgoSyGKfbSx#e|f%*4^aDA?U)IzkAM
zeEd%r=4?Xm>!qSIv}y3)Sj{fKT49tjq$1zuCyVxVo(ntNM+KABjrAfwM36B_MTpNy
z9(ihoZdJ^o!sK@><BzBqdQ5X==^s)=_cn20^08E?|31I%h>JK{Y#uS3`k;jFEIIxi
zj-bL$!MeQG5(z}P2VZ#BxiYEsbC7=u6-azJzDH<MXzdf<@DfE8xexNq4L4EY(Szq2
z92L^2UWlE4I#><K$SdZLlV}iSBS5uZ=iZ1_-{OFFb@XqjR^m_|4R&x_+ePWhAptWn
zBg{e*xxP6NLD#0k`Fl0GJ0%s6+YzZijUpnNqv{tvyhjHfXGzUgUL{mqW!Kt8)k06w
z2b`5ub>P3w<iUfY%BYBb+O#2?jLNoIHR2z1V8Ei^c8`V%8ofGla9oyx2LC*s-Ex%y
z#V6BOUb0jX{}bK5(o0kn{`S=oAzvnRojdfb=!hDs-TE|IxQ>Pl<CzY%e(U!+Sk~Ab
zqmBv%gD;exr=w_~b}|$6fRmu{xII?`J$Jm3d3TbI9C*fyd)IZu$w)K_sn$eKl@6+~
z@6bU#!R3K{BtsyE3_t2@CL#kb{HjZs4!YzMr<`)%2$Wg2x~>f*#BOZzJSIj55e~j+
zzb|hBeESHQggh<8;aYz?-c1KRuGUa~k!1?zLEHHrc#+Y?cQ!3j>^ew<OX8FW-5h9a
zYhQOPk<qJK|3d;N>F9C}-;wq_43r+Sl)K%uk+!eT{$I8<^lE-Zr1c8Gxcb0r)(vgs
z@A_bJuR8_3vYHvSAX-3YdwLpItTy_FBJ*QZ*ZbtTyl{AF0kJ2ZC*QKxMh1GK+hm>+
zQQ)EeV?-4e40EP<ooOPYCmRDdG_0wk{`v$x!?P^7Ufri)sYFII#v{L<ZB<1xc0XML
za#`RS8z~%*X`!Q&Zlb$xDWU#6N!!iuSuje~qK7d_=(5>yj`3+(v}$LY=v~f&GM8k+
z84e<f2%|L+#H7%X3vHZF9<yNIqvfOLOEi$Z&NgX|N1~{Q**WHZk_83fCPPho)R9B%
zo2&758&IhN7j}ZY&X0sU32`H;h;U-eCd`i;ZJ%WEUhlL3AJIPq&5J5XFw~yU=?(#H
zXLIkgxo82W&X~pQ5LQN<$Ho#^5%YMkSz7y-O%_m?ed~<N9!2E1$92Ef$#L9Wy(g>g
z1;Fd`ozK2!$)QutqYf&jKXAS}>(WD80UEt|llE_tK^Fr*=%w+r;)@xq*630UWRL94
zR(&Cb`n=44827)yTZZ~9ynmPjiEZ{p`DqDcSof?WQz{)xSC;E!ikQQrCJA-sAu;r1
zo99!9C*>H{P%tZJX$JlrrDm*P5hToUBR73p71m=|GV&|P6wa$2;NKB0gevpxPTAb6
z!Y=eYPh>APfxWrUyzd+lMA`3NzUa29z}7aueEDGB7@X6~xANcTLmUCg!UR?^<^UG{
z$lMr;N>=O6D)FGZWfcJvt9LM_qnhxZI3qatRHZ{^f)nL$lp#*wdAMBDqe`=GLm=PC
zn;7NfKn?C^O)vCR;NyEsU98u0*HiAe%32pTw8=E0edP8hJTU&U&(<3Tuv6k=x@yZB
z-qzfGBxbl3pJSE05SY{lSV36P!4>>W0-jiJ{2do)ZId|WtPj0^GJX#4Si;*bTv#^!
z+K1Q2Kdfe;b>8&u>DhSuAO7L&x0GX>2Js|o=eL`wdO)rAEtjP&;6p(Y$*+$6!h4A?
z`$E%nq3MHJXtUTnj#uXwNmc#DhxsH|a7kV0#<#7!F`dI>hE~0tsbhEtO(kyZ1`|S!
zl9SXkW^pywgPqM^C-7GLo|x&4OqiUD7bR|<#q0J&xt63&;ma&;+qX9uz@D_|a94H~
zKRmM7zaeA>A0<1U*OO#`<-D>9m)b0DV#`($bZibcY<SY<_(%s9k_#3J_Rr#y;6JkF
zyMR}ybH)p4>%e610NW)riw^~ksjgjH#P7BZ>$;WEq4aU7Ex~>c&nOBu)&8`MU(LUw
zU|~lGr5i))dj;q5R6fOzHyLaAxNlaVUlR>(<+WsDQ}Z~pz{hf1KLMpp1X^6<qJcRr
z%xRVVA3nXnv3kye9d)cc**?pnf|Z@z%cIyLPPaSj{-cZoMI>pQuD?P7QD^t|PuWYj
z`?DRKU!A#-d)L2GtW_Iyh8Ok4ELLzYd%+L&qCBW3A~_?8s11Y&m0h>_*YJ)Co6*P_
zUi2&~PDU<@44FUK<YglXC`9;g>*^XmlAxu1wEC+B_l?Fc{`Zg#?OvOo4Kdn)V$Z4@
z+}f)Jha-n2=Gxd1$;ISRWTp^e>Sn|~|4agdP|w3;8YhBl_8tLhA}C!gPy6U@5?B-@
zTGr%nq3k<#u`ahn5%<-vJ~{nFP%D>uAHIzT1+B<%$*PMZ<8$*e*%yfLFzn@kiwGZ5
zowzuEwo?LKdT>0rR-Fj>HhrX6P64!m&!AqvPzse#m~SoZ(S)6Dq2iGm8_>Un-ceHN
zCe(O<q<B6@6ZVU)luQN-AwHv5XLx?gBF=A(!X7c2Acx7Be`Xg!&Hmw|&RY}^Vhh&X
z5~>N|v(`<<M@7*MtL`TmK1%52-LbGE@tRQ8!8wupQw;IPYUx?lE2HoFHd<H9G~wD&
z<0AH03H1J4#=zOlsz|NW;+oV3BAm?lWVgC=eLnqDF>;-1X!p&Q1pX)@Jl5@gB4w}%
zUGAN*bBxkJR0*+GHZ2l7)_Za1@Mc+bgNNgtp*0bm@e8unXV(JH45?0+AbIpCvB)<?
zK?@Z=_SxwvP6k#8>F={<MdTBCbt#iW8%gwA8RUCu!yISLaRN~pU6V??ku*U;hF4a`
z4LPVVe0M!cpI1SoP$3n|E*hHWc-HlIlm@=p?To=zRixAZVIioSj{I-&_I63?!0yq?
zlw>n?g!(kn`EVT+=Qwmc$b$jV!3R})^EHr!As?U8RR;3ddO_t$Hxm}lleh=uh^S^v
zY^qV0iFz0LruRhZLFi+n$bHcy<oSs|Xj>r@?cP|%rR8V<_hRQVQ~R{gp?e`8F0U|=
zPWaf7vMojsxkK8nLRlNl+}Dkg<km%-Q<sW-98AD}dck$ooPuPlx4Z4HW}-d3-+Ih^
z%%Fj3*iNHR(H8T=#hH3cw2-oxxHA-kG$H9*@%>cfx$*4-FDC{<&XpSW<p2{&KQBf*
z(2(;$#Vu~44w{bMn6@p)0)`%Q8r%w`p^5K)qt?DOG+u4BXm*|jTXMEv=U?~fG_#?0
zZy9YgiHDu4RI-H4hi?3O*h)p(JDWyJFA&kx-O;nDX_jz1Wz&mv0V>KEy=WNuS`A$g
zP|Puyv4o%Ox2wAUX``@nWNC|eCB*)Q71AVY1%bb+eTCL@(yr5+9@M^&LDUm(0*EqJ
zkhn`do2;ybtg`Mc$jynNQwNl^+1Kkdwfqe^<4;7cGkN*B9|e%q{&RV*&nzL5;zPWd
zseuLt>}wblHgq&Fey-fX5+W$=Z}E?6sL#GO=8MAw-e$1%Y0MxCRzn&ynSWH!?~=s3
zIg`csS;PCOmwi|;_sw86dxJ76FR^#u$1{X6DwB$n|5$)RHb<vZr~<NX;?sTpc^VVm
z?!5i^Q43%@_2xT2uPnNEOf>CF(;_BPV_#j-4>06Bl>Dqh3jH@+;F{63hP`z&@ECLh
z2-&D|CFq4Xg61~QwJbLHu$o;o^&W$VDc=vRd=o+EAjE6x9Xp)D&WmR@nnPQ1LLpq*
zi0rLy9m{s)0LfH_;IkiQpsUwzE>zBkf^9f^{)^*)<c{%I+u6<F6Ki+u>Ip8ic(gk*
z`yvPY4*&rF{}h*ZIMweP$8qevSJrXNa~#gG_vf}!l2ytU;!DFyA(X5l(l9DfDqB*@
z&gVlY5lLB5%FNzM#?SBH_jO;-^*q;e-}n3d%4qK3up#P$Y{*}};$&K^>8O2E5#V49
zKk&)fSr2l%zHw$qZK2uk-@hoBpaUCmhp3q}T_~xG`r<#fhIaSNd}p{s2c~Tn<$=9A
z5WXF&c=PBY`q1nsjU+D};6sF8x=QN6{xrSpN7w}F7pN@wu7nnx#E&tN1GIr76Is4C
z^bO@Lb`NQ^r3J5SLX>xl797WieDX7Yj~;PsomODkt2Z+n$ii#Eh$Hc6#@QSssqO1<
z+gBQ3nB`+X7pn;@mQB44n;l5V<#zUfS{nF|U>uh<tpV&)ESEic2apHkY8~ks8o-5`
z@_jz00r$GtxlDO~A&y@hg*<y`U}tBx<oi2yNC~c6vTL6}m~lfBR;;w}j;TWNj)6Li
zq0hg~k!BFz*+PjfH(KztSJMAbr3QB|ee(KkzJTPZ4;_2fO$#}XlH+|e)nG}*%cJq`
z5)z`Okx}kN2j+sS%eFPDkbEjEy*Y9Psm(+-o(tf>q4kkX6sW?jsl}D%<7>zdqvsbN
zPvPKFY^BIZI~78N{rh()8wl=AaBayjJ>(a}#)LUjLC;rhSC{KA^5^D1Zn<>^nELHi
ze`tXMjeMMqV}CXg*0f7S#cE72(rSFp=PCtWEv}?Uu5KYuhZsKz-DQUHaN2}n0tM`r
zg8aTQ?jl+OQMKu^tPo_d{wF(81vo5!iiKp+z=ti*@q6Fdpe3a5QtKCGh<<f$1lK|f
zQYrI0Q!N}|7Ro@$R#XNHg(GacbU4taDrska=YkyhtgXCjWH7kuqhsSh4;?FN$8dr?
zFqwBZDsEW`zW$V^UwX#?mqNajFFEkSE3F6`T3;o2#prT);V2Uj{tO6l*75;^L!39~
zGzm!GU6q39Sm12T!pGBk0wDg2^XI2<5_ksqlB;@HfwYreN&O)Riv+KdJYf=iNZSq*
z>tF{L0^iFU1;Q{c#FI;UPlVs@X2<y#IN|jO`9@KOC=icswOA$*;axCB=6%EstIr?U
zUoR7bya<Q510F>9p)#U)_9qXVd_Z%ZZb<@Gm(MvjSQEk1RW!)WfDZ=DXg)POmx2{<
z*~n@KB76u)dUgLbKP=oOdY#?I!(mRo_}7<-u;Vy2P<==cUQ>2&q<at`#2}4WzIUJ8
z#MpP@w89X2Rk^g{n+#l(8Q~&mlc4IyHtAQd2wcy9DVKCg4oc!#0~mWqAYCA1^5Ww@
zh^^`jo?%k}$%ymb%{fZoKSBHY;kY<3DhsJZ)+@pjo8j-0xnxLta(`=!Qwlu8dJhJK
zlECIdry0wLGF%w~$#`8n2y19>BAR4K{&uSQ8HEDULk_+(=cJ)@;f-M6qB8uh8QnGz
zpn`@oxq7ae07CXd9>s?#;Lv-{YF1Je!q`PPJQ!u+!=3EXU4AOemdu>P+o{1iySf68
zgB;X13NaVAQh}|eL0X_x9pVOm1Q!;{!^!*NM5>c2P~u}fPAF+Ymw9?h{*nTiz40Bp
z)~X8YC#FMFyR=}`p?Bg8i3qA$|E}GoQ-cbl^s2Y1I>4xs@Y44%3D6&=1}h9|z)49f
zym(R%LP))v?p8|RJgP2S)usxK%lU6^8ympCHy%BsGGzGd^nG9CK~-pDA<8@vLtyjT
z<EhbiWY|1&_O41C73M0qjRt}Mv|kH*JE$l_dGPC|@<<9C?j_|BOpQRRzItups4|>8
z7skOFq73NJ8RKu;M(}BUrn*>N8CHlvK0G%_plSA{4!dg%oZr@zEIyJ!XBb@6yc8fh
zLp$Dt+XN13o&FsoMFyXw2;1kpvM{e99X;h?0{@lVOPx?v0=n?{doJ~Ouqap(Ka*kt
z<;w0)ud$J!)7`!*@1Gca>d}pUkY)lj2WCpnR44+x90=4L5rk6b(sLUZ|9_5fe~-EX
z$f`CRIcv!SFTBM`1Tz!Bch;%K-j{<XE49YPFPR}pWIEjCk1^1c7bgfW$iVtL>SGRB
z8aR2gjc@s$F&LSB-HFmC0B))+plospsUGjRGNfz_G1s#j;;!T2Q^V42pDX>y*Ygba
z;dMrk?1$H|ekTcW+4zb;h7V|Kq^GN|i4o}55sF6B#bDPg-_vS)41ML=T@lv?;3J$F
z%#bVsWxY3y-?uKH^<AaMm#hIaTeFrAl?wuG37TVFvw~jh@k;kBN1)>YE&DPfKZv7d
z2h7da(WkE6f{Cq$z@w|OM!wAhm*VeOvUYBujtOf)NuvgE+RN#Ya2_Y5lHRqACHz6D
zjbXbuW&;?rX^%<0!3tlF#kIqeKWOVSq)kCxADHy`i>bqmFhi<4({1?&t#}9`<NxVF
z-**bjpX)gAjL?Y^%iloL%pXSmeXI)+`@MAr(`evx{n}^E_H}eHJky7BTnA{RvcI1A
z^$!tQYT8NryoRcvvS=e&XRn`lY3bEBkiuF%bm-$Mn%|u<^gL1<8d{=e<GELm8wx)i
zOFpciSM&b-4eQo|R&AS1mM`;&+t}R@i=Jh4ZNds^CTT&W_X~PepDCnxcj}(a!V+p?
z(JF3qT@yA#{A!pRej%l|gMTT>ETJOqad!(AG~j))_N39(Z-`M+Uuw?zMRb>cWwOda
z1M+1~ow(fi8Nttq+o*Repa(SY%{r~>;BxSB!4q67l0@IJtT#W8mVfX|{HLW3QJHiJ
zlS$=>TbPaTqTM{29X)xx`<WUXW$b*@`28VzqS$JCXLAnSVA+B+c{M0}mECrH>kVoc
zn{_N<Vh*j;RZ79<sY3G+UQ*KE_vpb>NUoc}JbLP7nS_&^Dww8KT{P$JMh^^JNI8CW
z9?cCpyM!;Hf{)w5+mSY3(Xq5lBVYXm)UH#l%3X~Lw=4?A_Sp@fgj*_er$iUgNY~Dk
ztp*Cv^Zt$dCqIlv9T1Tys$N7tcI9@A?(MCjM5(0Wpb<1-y!}#A_!7ElHQ333seosE
zC_-=X3*|cfaAU)D8TE3ndw+Xc8M^y&{+*Q>LwEI`nNt2+K`-ifzqj3|3|_;-;X_Ol
zs9cOeVOPc~+R$GSO0*-xv-5I7E1Q$(ljkw4ee-MRd1)(zB~=MH%U^p*(odu9k)fk6
zgEml6Nyerh-6WXU{^3)hIEy}Dveq${{)@(>M?~j|lE6*xX2VX<JSt9rxnbNtl)m<F
zk%J!*+?(E>tO!~}TjvI&Pl#@#d;0*t`$iGA?=~<ZO-pDdN1ea&sa;f(e50X2SP?2y
zZpCpZub`{5g*PR)Xt2evl>XD<3XrBaYgJXfiWXfl0X}a!Y^Re(I%q^5=whCVa`>#H
zfy|weTq`(CiT=pa%wc(`JG(e6t@{V1i<BErEMmY|%sMvlO>%IzGpgQ6XA{+UPt3AU
zX2KS~%{)45AO}vaYu^HVw@|uvJ)XjcEZBqT>3Jhe7P$Hv*sgT!pk9d*B=IRW%%XnT
zUFDE0gs|Mdp7NRo3t_HPsy)StiTfYR{QX@9&hS4)@UnE6d&+h9&<t*@d4O5XDpCgg
zq-pmVR^za(+wzGAMR~DVu7L3~GBVKm98R7JX25D2nI;$C@?kHZ@-yD*Cjb|VMq2Q3
zChSrJm9;WM0K1TC_1^M60c32a|M{I}!SuPG7tm!0VX-ymj1o>0pwQ1|rtl>jRyoE#
zZQCM()wnM^C0G&QK$VrlJ1QquF&K70L_rL5rFs97W&fT|;dgGkz>OXK935TID1j+X
zrNR+=0tjEdpLc1E2ODz^I1%wd3d>65wt{E^ygDEq5R=J=eOi2KsAVUOC5KOrxwI3&
z@lZXJxw`<S<hy?Q{T~80v7c3SLr(@Iq}^@`TMJ>9<vp3^4YHVN$?FJ}ei;~=%2eC*
z6~Xeuaw|u2<uQ8Q_gu6EvhbS2Tr{j~A6EF|wEm@BMeL)L+O}c297rPj)=x`GU@j5O
zN?tW2tjLA_a@3YQq$Ix;b99%&tZ%Vcz8)oGQb%rn`<|u<V~O>?lW+0Z>hgxj4jTpg
zczZOsI)(&Mvs#0oPrx>cGfJ#wso1~q!XR818ALs2_zPNOuq9s>vaY5oR_~OQ-U<}x
zbh^^E?JS37oK}?6*HFXGT1Ce#bWveFSz#{auRIq0bclXdP#sh7c$2x1t_DN)abjOH
z6tOjmai>nFI(E@;_PY2j4H(%C{e6~5!m>`9meU{Bz%HBpi1Dn~g6!Q7XQYahuqSby
zv;6TISlh&r?Kn<dC~^({LS$6NDhEuXBK$NkU$*wsShzj}zv7VWR8zs!%Zjfdi|UxB
zdBX9L8AE7QWY*^4rC^yG9ry73d-}ar{i_84Y2kPkes2oqyWil7M6W8wRDe9IXfXoy
zpZA)gQYaXgy+FrdLn_vk<HeNSYz(aSAJU_)QZPYBD#MK`Wz77{obso8Ch%c5lfl`R
zf-MPhjr1fCF#^$}F3i9bDBE^Ir~6c}4^)4=%RV_QV94;dNr@@Y#&>w&DwMIKS);dF
z3h<b9<V1VzFH;B<!_LMbWNcCXw@~wIQS8)km<|1;DUeuSd=p3_VJCX<S=p7m*k8W#
z6}bje_;6~l=>1+FBxzJVJIKd`X@p(>uoGYkc#&?6qZ#tp!pC+RYlAhE`Rn5}Sq4-1
zSyC&senA$CMk6C;=5C`kQj*a$2__KBHE{8^EdgU4d>P8!x`+s)I-5M3#_-jnYg$Sb
zk3BMUZa!wTgEUxHYGwXs48i5zHZ7(Sn14pj@zMSC@USCR&bP-1BpOv{N{@(QxL%f)
zN8HS?a<Ht0$;b$v+(>6F%@V}2BRVbnYFHsTv-M>6O8}SL*T$s;J}lu&9N8;^9SUEp
z*s2l%Mh51D%f54AwMy4c=U(H0E{1(i-diJ}ow8%=yUT)&jJ!Qz$H@uJKUFqN91LOT
zb2lNhfF8S~vo3f-l@q)wFV#FbYXCWHXU}^-*+pO7`}$OspA%j<nnhWs>O<UN|A~mX
zbu|0gDA;}E05@XnV0gVAIE!^QGHK1D_Xhihh`}77>V_;Bt?EKnJCVqzK7#5#+CBP}
zmjliVnG@PHbm5EYOxXCLH)!QCEy3P8b|??jHGpUx2*D<63-@;-emlcrZ5P;qP}=G|
z|5+RE%KvN0%KM3M+eB&qv0#T~*|URcWNipAKiec%GmVJaumycHU<WTx<$|OeT9BlW
zeer(S5^}M0@Ne7^b~xo*A{D=`3CObL9V6{EM18xcd-Dc6TsjwI&~Z`|?n(=}pe270
zhHzWY=w)`8!R1GY5A1QVt@y0uUT(Qf*>(SXnFGjgMyC!O(Eyp77hEiV?;r&o`YXq@
zIYHv3aF9xmI#}OvoMoS+fwkvm>n7q{;FF+`(&(TL(eZElm96L?Ka%a_cOh<&tYC84
z8C3(ueJ>4Tp5tKCE-pNznj3BnXDO_NsKE^rV;2E#2CzzgWlI;t17uZRr#dz@n7uId
z`F;o^#8VIVY8dlE-e;u`(S@oYB@tM4{wEW-tSxkPDe*y8f=*=QAyue8mf73v!~#W)
zl!s5L{Ghd;{Cs1T3TJSQ-Dk#FVO+w$<i4!{;I(AU4(Cx}EU&vkDux}{mUzzPrwGE9
zXM6aJ3l**lmu>iJae@`Df~|Q%2t3uCf7pvrp-BrJ>A`VBIF9b^oT~`jDQM1+AESVE
zAK^8}KW=d6>^#S{Dhdmn$}a_8Q^5F6R^>b$FAP0vW>_y01EF8qMN6p^_;6%}V?m4$
zy1w>?=tfI`-m?RBCFd#dsh5ABzXd-??C<|_M^6eKJR4@W|BnJ_D*P%*7J!U(Yt_T%
zcnA=e)xrBvVC*_;9Xcim9ObztbDq*5$8~?h=NtuU1+>3iKOzkLx0vr$rVzlP5<B+r
zCI#L}H6MRAAOcN6jc7ot4DcV)|LuuVpu)k~$TxH!;D;ZHnX$=1CoXs2Nm?ohn|WoY
zDv86>Y1gp=M|oJ{@_p;=K!uyjUKGDS5|Cz_97ZZr0Dl3i0i`|8GuZKe(RxM-x~i|(
zdC?Q$ZJEUWGnT4wX2>7+%Lflvo4i_@kC7l(SOY7XRRs@z+L{GlX*eEsOzqYl$L^<9
zVcb`!2BN8Lk{y8rNW?^|I(x|QQKa8J;<7r_gs&!7M#w;*qgvFlIc3N(*0CN8)_`OV
z)daHyS>VZAd`a_D1%CXz@X`B<CTLC#uX`lRfs#C3^QJ8YDs_?$s26F0edk2FWuiP>
z+OR#6mQI2FCb(k$No~k?K3-5BssJq?kBZS$QegF+{ev@_x-e~Q^S0Gi5&T|6&)qDe
zz?HSIP~}^C@F#s+B#~#2<2eZTOCt7i=g!sLg#~^1XenC#r<@4R`j;(q_EF&Nnr4fF
zg(2iNSX2cPN$@!9izC0N3UINXCEd?J;PZtCp0wd4xO#BlnsPoF9{f%fnD+*FCj02k
zhr1*=`7-#k{3r>Y1~0H)Sp?`OOc+{TC4tu#S9{X1B5b6V{lNcc1Qpq_$q!9PfSpc^
zhdg<htQ#F~Yc+y~%8yIwokZCA@UHEYr7W1;q+ChhFa`nh2h$ZqA}nM{MAA=4gUy90
zw>!GVu#o2Ynbk!R=0AMV4v&+9>aE@V_EyF~>e#%z_MZa0*ABST7AOX~U!F^7TNpzW
zOSLU_R32V%FD-ziFzjwHxrI`UAug6p*<4W$uJ}z3dn@w84JON9gE(U-3fW*uo0Wlz
zqff;TW^)5CU$<58J0l2mdpnVkM*y;o$?YO~HZZb~3Oatt2#~`1#1toKaCN(Q!srzP
zkcgX<DAJzpHBa>C!Gjnj*+|NS7Wi_M{8G9BZs8=!hjJvre|Y7F^nriK<`@5CUxWAj
zVrjs%Ohp`+SEm{SlhzOtY940D0}#CXkUMi&6l&N^*L7r;kT_(eGS>xxM;G$V)=Pzf
z-b`BG;_D2OTen~qnqdgUx;0+N6$JXCV8uzFNyMt-G_I-J0ItNm{&cUNAHE-2zLW55
z40%xee6p3x06hBnXxVA_pmWX5(don}((6&>=54DF!y{d_uTJxT+e5F*O@^b$6W6h7
z<xD-$y&x04u+0V5!>72KxW^E!LK*#wKXoCno|Dl&hyxDtYp71=k0Zxz|K2)J(FLCm
zCgvBE+2GKfm}k=ilSnm_W<51d2Y%@3b3diBfOwFP@oeHWa`VOC_0l12P|DBO7`ng&
z6#}ORyRzqy@oZ`4K^<*i@jv)y<1YhzEO>>gURgwN$5JonWof}hWnHAZk{+7eBj$RJ
zE+cuZ$2|VhYC-obp~1Zf2k|>w(sX94$i3N=$LJYN5D+U;==w+p4=O6?2CdeS0kOxO
zqu(?@>}PgzsuUfZx@jH4AM^+L?h+_+)LH|W^H~N@<j{h5-s9QUl1*fq62VLNP96SJ
zEK6`Qr3Idt7pKWI+sNFZ7^zWXbr4}kB^J48L8fs#BPwtg8E<#|wb-Nv9N)V_S9WNi
zEkcRs=PnH_r2k1&G*^TEYF)|nz51%g?#}NHbijCS4Q_U+0`8ewtQXKifL>a^UkeVr
zl*@9-E~;?gb-TgAo3!xeE_L#sIRhjv)F0-aqk=T8Ur*8wEto6DlWj&Bq5u0};o%r6
zI9Q}fHz&~nK1#RD?LIR+nNMq=+w%+GIk^|(>Nwy#;L_s|$O=k|9FF$26d*;!EK|2}
z@Hf|}CEu4FlGin?&%07!hKc8n?if9Y*om!=C2+#V0|%ZQ1`2eXKGHfo%>c|h^G^f+
z<A$|9qjidp3b>&U;!Sv&fbA4h=Ap+t(6((c9^Ro0zvQ#C2c4PWt#8gO|2i)ei-%Rs
z7%GF{JFDaNZ7eXHa`4yONq(5e;XC3Q$RPE8J|xeD4J=sP@U%+;VBE)X{+uNlew@jY
z*%0D@<-f-B;SYo$Sig-&d|C+tdz1o-w>crIv|~EdPXziqYktb!Q-bONF*Dg~+(6(C
zJip_(4@SE;0>hn^pi!Yo-l&KNM0;3bz6XfI&44`LBWg;J-=G+tFv<(9A)XKJl}dv1
z&*+l}2udK&Q!#I&%@5g~6;?UScxe1@TiZ%m32Z`4bms~MU_^<|SlC(`I;(Qqn~p2N
zQsp4wnx+tVfcNU<A_8zemPZ1gD1p<!MIMn~!Z1AS@PkQ67L=u~)g=q;y~{6A$-Gn)
zI$bnuWi#X;X~pqc#Y-}%|90~@kS+!TpA}=>WfZ`bymtM|Wn~CTzx$--fdojcdP|Em
zC_-}0jV!?!70{~XlBzx-1xB$}xyRf{AR1ta9CfDva}4{@$I*C@Z10SU-%)~R_wwWn
z#i`&bY0hz`R2n2d-R3@&p$rQ$@9wQ`Q9-0k_Fu_Q0-Uq<RD8)nfuC7YF~T%zVApfK
z052{JQhc8;cViTwdrq?yBCigAM+;jYILQIMsaWuJS1LHw_C^)%`QY=1ztZN?<l#vu
zB}Qk63U~3+Tx~xzVPz-z-Dryfcx76!epgq8q?klm_S4$X;@!vPIiU#mb&<3u?y3-L
z>`IE+<0kdX$7-+76M^w)|MM&Ms!-{}UANw-2WadgY3^PU)Le3A-{MvU87Av{%n=44
zvw7PvElmk-T}^v9af1q}9`g~`$O!yBW}T`bO@=U(?hAJp1$qn~0Iv@K)Bet#ePLu6
zAl+O)RipwJdVLp5WQ@SLiQxz9Ei$B?8Y#dZCIe@X`8(qdBk0TAq5bYhhIxat5dzsn
z_$hd0H|e-BFgy__j?j{UUHaPm{0n)AIkNxdt0rRzo4y)7>!bt$`P28f3S{6~E01C=
zn+Y86KmYpZp3nNyII_y$#RIHGI$lsU0k2su!Bj6IoM}f&FavSuTspuJqiq7(#{1q^
z;}zktAd-%IECl}4o;N?GOn~0~k>yUkJg7f=D-v{x7fi#23^EpsAzC%ZaK}&%<Q7b)
z;y$y%tM$HZnIdDj6Hz0j{Xz!XS`zaozTx0M3!EL%&KRZ`i3(|A1PERUvX0Q*M3Umk
zymSjj5IyvHnKcm)_cg*boK@x#m3AK0<k&qvqHSFs+LQzr-;Z?~xBHR4F1vT^d`4iZ
zXOr=GM-0kS{4dE&6{BwMqHKgm0NDr4q&eh7!KO)<DeiPXD(qa&(X9l~y3+p4H&h5B
z@3i7qK8~U{lD9(lokw8P61z6KzUR|ayZNz|Dby8FdRUca2sPBj;=X)dDBUX4!tI+y
zg_b29-qsj^-Vf3H!h7?+uW`F4t#}S)x5p^EWBTyJ)z0m*ItNrAIg);7YYxp-d_3MF
zs1NIR%2LOxSisPyV>Q=x4!!jPS4*<i1L^a0NA_nhf)0zeLJh|(`o#M2H^Cda&`_gf
zc=ZDglyjQS8yiid=<(E>wmmwaWy2gcV?_%rGSa>$rKeDjuFL9~5;_nR`hKBScLz~x
zz3J%oc^p0byI3eYKpV8!*Cmg*Zz3j7CcOqvjiUDnHu}P?S|D*c9yzwVj-*w~X3Fo5
zpi(k|?HFDQMk~B(hd5UeA=XJK)*VLw^BJ2x5~B$;+cC1YVwMp9b6mW~bNW$pOZ=_0
zNevKRw^4lja2|Qr>o3Tx`2`J6yc2iGRs$AAT`FS+rV-wQ8!o%dpU_LM%cRUvb+{aP
zthM~nBx1*(CKs#z9-U!oYIdTkLrmM(=EkuxMD_f|G5H=0eXC!p<5r*siu7-v&1L*T
z4j2vPle;U>E`cz9GF}Zf*?u?B6ptVZ^D32U?pdhC^CCiijw<}IBh1{8`Hq<K*AFiT
zrz2NFROgB%RYA1U^YdKNH^esmZgAg3IpUvhfJi>2LKOAjLAmn-2r-BAq3UQILRqTo
znIci)O%q3KQBNOI?{Q9HQR^*|s(YAWVJ{cQo}jxRey<l98SObRX#XDZu1L8fYDR%6
z_7o>#?N_9%@Ycqh(?=w%-0*jC>0Zti7GOL?{)+T;+0_0=>PC>t1}}lH%CL@m)BR}r
z3o^Of?s>bk2O(*XW?ABtp`>OtqJ8EIQg20z>(K5+Zpc%-iCSckxNczFLi&mv|FmAZ
z+}DqctLs`M1uB6wI2?ML{}oZ+?;!s7);DC%y)*jYa}rQBE!;(&dJ$*6OXPL`?}$qZ
zWorKl5mqIQ`{hmhkbcm4l~p%_e9LU)_R=Q;THR1$c(NZ6sIZqUar}iCd>gThPErJf
zp4Izq?Eq3S8app9IEIunIk(3QD?m^B>g2%#-w?WtNyDzSaRl>MueZ@qfWI%Bdi1!4
zky7`Iqs7~kh!DN_mCv{2!Ad&ULyq?c!rn`=lv0~U`X6}DEHBG}Z(f4+fxUmEu1!3r
zc`%Duw@oBIbdUolw^Qf+=6)hR`g30Q4HppEzCSE&O|lSBCTz=TKZ^JVSYhMbONe@}
z-*YdjEHt083pd>BAJ^jQKS}w^h(Vs+)PGN9pxJ}pCp2dQxu4T_)#>Ca5>M);>)9s*
z{{sL3|Njh^c{CJk6o<3#*~Y$&F&N7*gRwJrh>{2?skDoPHuNQ=C=x=EWM7j)MWxhS
zWl1W^UfDxLWl0<P{QI8wyyu>K&ig#SU(5OSKlfrjGpTtx$KN|IFs<`Mg>PI{14hv4
zqTs?wX0N0`7SEwyO!eGbL*Hf8;N{gunbzM^OtFvChMrIVF#k}qBH5WFIBxqq_ejDw
zrqtZL=!o+YlXO=iM_+>kYHTIx4+b;Lyrm<jZiugfrr`cO-zrr&KVA~_p?;RRS(#^R
zWF7~kO1g05u2lt>i+>!-BIlW2x;0+>+quB4xQ3xPNQ6<@9?C7h1?JiUgUW|CJTUBC
zvCcGt2wT@CMb^apV&2HqdK2o!2mG?FR9_Mil;yqm820^PMkYGv+^G}*C6Q;cVHqkg
zpIKTiaCC{OS$ZcGY=q%a%uDy7f6Ab&DfoDVyb9a{E@&ppiozJz%e{@qmBBlVch$xR
z9AF%#|9ZWWIMkf-k@xzm1cFc7!XF&xf<cALy(8Tc5Sw_{!!un8Tuhga`R(L^p;qE8
zF(d#z^k}D$vl4WExMoHO<AePiaxC8W(x5%o^ydsw3B3Be3h=D}=(O^Os%gtX$@;76
zWdtSIZTX|Kd%rL=4pZXZS1Ew(hfQr!G$klbX_Aw+5QX5BGgFBX%J5iEJk$P^68tDz
zu(PI$1F!H8uDcCH2zek=k-ww_6aFzAnV%#;T~NLE)L|0jeBIvnqfQy@p?TYrMgmOU
z@!7{=O@?bx>tbU%RG`COQY*hp8qT<tCQZ>b;KE>^|3DrQ{G)tt2*}962D75c!SxiF
zw`u&Ko}>zU_x-N2j8g#H=;T1L7;VTYTUVO#lmxq8TwmWvR|d(4H4XQNb-_$!vbxWN
z47(|H=Y(R2uu#kKCDcP7HiXQw{^Qet^Zi1F{Guc{ay@#qZ<+=i^2T$)W)v{`*16BR
zLJb~m-!L^nGk~w({M_&NYJ<FqNyy#(>TsA5XIFj55c06&$?z-{BqUxJRB3C%o4&N%
zuoNS>BGKm`)<^>x>m!?D|4`swh6H|0V?f=1DVFy-4S+0P7@*jq4NGv!m*{H@F}Gg5
z^HyiT*?So-pOSQ;F19XEVBQ$EKC(yW3KKAw@sygd(gQJ(WDYvT1R@<%jN^RFL0ta(
zDV=Bf5c+eJ#I<rih0d{I*}@7=D7HN`I!^=kB^M5TM`QRKtkvrv2*7TlPZ#mf;euiL
zc6|y1)IU1unESDyj*uu4>_LZ1$rHDBBpSknAe9!oavRVPyq;hlOb7K1!VRC}=pYdF
z+$Xrn7Gk_pe-3S<L)pdmfl0o4a8G^RnsudXK#OfQZ^lQ5YaZVW-fz@`n9&-k?T&UJ
z_IdUTHH-%RMYS5fB4p4KN}KSzX$L<xN!KyL^}%0dy&U7Y5`=zBd>j124%W_a$t0Cg
zflpOZ%#5D^*RC|}SuC@Ik(fOd%v2o+o+>fjbcz?~Jj&jMJMC8f%Un{flNKD&9G79&
zPBAO(D`&F4tN{V5)oW(PH6Vz-hdh@*#`d-vSETG*1CK)z3YUY)@UT&puUm2z66vW$
z$I%w@BFiUOd?YYnDwNZ#`El=mCENeV+d|THA@3R&6-W@iufNZ4HJXg3=dyxqKxMya
zvS6b;jCZ>W*B%qcjjtCxr`lNH5$x#U93~Cdzh000`cDECET#4>8nR$R;ftOFVG>a2
zIrsU&KS@0GQ(1+Q13+f$ZV*osfjgJiNDwX)FhgI9i!KRp{?kSY>2_YI-jiIswTFN`
zf6p52CNja=Vg0b@?Nv}Wc1BQhjDQNIomC||){y<n-d4nFf!P*iX3uUV;7x-gCzaM(
zfwYs&(B6>G%<A&}f>DJ8Om|3#K62C&rt)@?Cl{NU9zK1qVvi7z_EKrmuG9k7iEs|T
zHEL%UyUTIuS`l!g=S>CoX>&N>WKMJE`^>gUo=8p-Ctwcaqv<hAa}YhzV{a5T%O>q^
zbCa5rL_aZxc}}VsZ1rP|-*f)O_T_szQ#C4yyJX#mxPF;})7wXeVkt}PCzp}BWl9ns
zgl~(V*=q_nb;cZiQ#r6OOW8$4fPmz-#eD;vCU8I7^~T2CTuABZ7;#ydhs%Fw-vJjB
z;H=p7`{+R)tmCrHQ;Q>@c3-J3yfcQMb2Bx9ZhScIF}jZNoq*xVS=`L+#vl})`dXMI
zfYkqrM*bd_!sY?b_KjZ{;4aWN`gl+fZHT9?Hws8&mfEjN!DksjR_dWVxFU>q?B|Is
zPo!~H(@y>ckpVRgDHGglR%5?(z;?ZO8MGcBA{}ou0#%u7XO!nf@rwm@mOoe)C3yTV
zRv$Nl(Je;xOC4hP`tDUp-~Z(B+%ZG#A&L=rkoi7|REy&hr%&zrG<lR3=X}3y%n;sX
z#@<_-DS>)5+6C9&DBzX2_{SNy48fb3?i&#=iQWQ>?V74e7%&$TryFJnzFvest}z6p
z-q^8_oS=+dS#cv3n+-wb)hlEDL@Bi74V2CkAfj3G5!W6wL*V4h&~VO|Ml#<=>(U+~
zzB$nF-CxTPu6zrRE3cP9*Bttw#XVKL*Ham=R^1R@`BiV0Sdc~jq|qzK(@8jP8YbnY
zX9zlT0-OuR@~Cv?)?URJHB5RGe<Rw?5R3`Q73X6V@Nk($Z9zC03!<or11r4jFR77A
z8&|~1o0+YAq3W2~S;6U@ZwMBXHxI>cQAT~e^>d9UHL&6A$xhM9mHEvyu5WEu!JzNL
zd)rQGVv^3QO-;5&AZk=wtY1z<(sbC!i4Y1#jW<cUR2qSs_WJIs6RKDn_#im&kQVX{
zWSlmmF~Bc?@6yXPBxG#Vh<LV18_$Q69bP<V!1KY`>U>Exj26n+F{!14>5@#3em`Sy
z*lp7;GOUJszkS{Oaa;$T&TL#aL^gqjfSjq5x5;?HRy@i$Mi=c9UOVP}H-SXWvy_En
z>ZtvEXV!llRHSunZ?t)33VD@Np_cj@IP;)+m5U1%pA|=RQmf6t{LsR&XZ;!|lHSfW
zA3#Oz*V|}(H_V~ynRn;ga7_&Sv3fRPGZjB9>kd`tT7c<3d%jYB3V!>g^1hIZis5?V
z5C6-sgwT<2-~3Y)eB)(%;cSR5wk&e;h$LBowMF{<-R%@SraW(Su3QH*V(+Mqow5dr
zfE}?*!dkeNs=#n9*G8cn?{~+xGQsJ0zM`>)7Am(EZs`ftLf7rPPcp;+f_8kjPf^ms
z`u?64ngRt=4I;-AeE^~YFYP}wOTo3Z?}aVXHE`fWr_GK^fHr0`uU`=b+tXBkk{8LS
zdf8FgdIBJ}sowRb2?dvP5^g_pRYQOBnYlo57W7UgV{Dlwn#8Ns&J?I(M)QnSBZUPT
zu1n9Pxi#@FKXiZjt%BtuIuaH7EJ%{9rt#Zp;MeZu=7|<Xyt~9jA!xE7`oD(MsFnRI
z*NT7EdM$^QTb{+P5o3YQ@n_G!C6V#xXqiQvfDG0ohv#-o0elFueE+Oa4eM*GPHw-j
z!j0kx*V9h{hK2%R%Uu#){k>f<)>Q)O9bcCOVgNQ>=;C_zL>12xgQ~vm6GI-Et|;m{
zfIV|JX7D8uZLezEHlG$jy{>GPb6fx}cg>Gm)Tp5BT`r-+4T31@vh6%?FcVZ=*xIgB
zO4!A2u8&FL$0rhZ61zWI10|>WiLap|N_~x!9O>f44KwpU3c(t}9FFcXOp(X-ytQr)
z2|PI6QTWj;-wK%0CbHo|a>)B(G{fKqH?sZYn}oTnU`nlgi%p&kdhxV~x+`)c(TV=q
zVZS9@CN-HhyGx_nhRj2}16;Tm_;p8rqXi_UET5>=kiufV`!jK4T*%`v?ii(G0WB4h
zJM3i$Sb64lwUIVARtRmec#&cbJPkcD+8UC0ld5D8md}l2Ne$MDOJ?xiKD?{XO#*AL
zS{8CT@L*HBM|Y>685EYCZo8f-j`z}LKU|RI#igZ#7tB7I0&8kM;v}ay3O&kl|0K+Z
z!I_gbr(I2f^KfQLaFiJ4s{TtIB=KX^t%r}gUYY>gO7O=yWifnlutv#Xs{p1>TP*mk
zGl8Jdk$$@(QOszi9QG^|MCz#-RqvO^5T<k8D%VOB-5;3kiB}ND+vf>mUtNshuxIxt
zdu~y@)%$o$&J7WKnto`z(MJZPhVK7#<>zY5kgj<6%}o@aea?OA?azSZ9||Ih(xMm;
z)i+X-AckBXe19KuFd)V2z*Ol@Q8e8-{qE!$ahy#{B_7H&g6w+_<JY%|;)a+{B^Bo+
zkVbXxsIxSJZH$sUGD8e~GDi}$uS=qPkzS+lh#~yVI5{YjCWfMeW(vd42>9RTS;LY`
zD?Cp$t{)N<$Fw_Jtv@VD;gNdtu-`U@P;mRkRODrG?5mp$Q+ATUw6?ms&?N)NR$t^6
zp-EtrN{G_!JF@7>(Rl4H+W=g3qZRHAN?>!v#pWPgd0hP`{;_$S0qmz97r9d;i9Lre
zQ&~?}IDHOs(aQjSy?r~n@iYOmt@)+Oe3UTvyVf6G3j=r;TE){BAcZHIVj{V<RM0?;
zb8w7g0ITxDM)HnIV^QUsOyU_L&L7$p<|1tX)0F#^_i-}V?iu|g;G`<jyF@r0SI$?*
z%FmV5$YR5hQls}_B(&e}e`QY101Q$smU;fkVb!Fv&VO-gxF_0`9SR0ey00SsfrkQ$
z$R9`@&n07f<_jKTfB}f>cn&Zc6_G(c_8p$8BlssTYL^*6e1!GB>+6(poBQ|e%L5vC
z>1){5p}z*;qhWU|zE1^7ftwF};iMq-x|zqx-G(4{?(*cNIwI~H$`0jM(?V(OxIcXF
z4Z*~9IC;-?Rm@JxPmZzB#+|R<JoY=d;_=_v+9{zV6i#~-`OIDib7oub>WVUe`S_oW
zh?g2l^_UIXTI=HRd-0V%EeyDm;ZU$1$Veic92}6RB4KhkE<ei{#9t9P)~l-HUZ*e^
z?x3Q`>5TgFXcJKH%qhIGsE*St%S!kCdYI!!d=(pE3XLDVy6xX+U}5N|KRfI6@P`6T
zk{N3TzjjnNkWw`9iQ_*e`;#7qbNKR%W|_lG?#RMzTM8DQFx~0?LJ#BDaT2aRvVgz+
zLDxO|DHuO^?|X%h9y;$Z^SIJu35SC?DyqD+aKYr?!(60daBpVdkr^vE$U*QadZLBi
zW*g}R?Yel(wtR!vKWh-#<l9&DM+=?2R$o#t)WP>xlbT|GG2wNjX7)dEZS+{!Tztt?
z8_mV8j6L%QQ17pn{mrrBn~wj)crz&Imtr*g{x!h3ZK@{sOD$BA+TAkIu7NKq8l^TV
zvEV2nh0y4yg`#`?HWKH^cpoe0N<CRH*2|8Q8>8SFzLL#mJZfl~>&Znq%YyRq$P+)T
zDLB*2{WV@j6$>nC_y^Kf-dU%2%w{DwR0=4>_xdZN|C4d|^mG=aq-O8RzovoKJryUH
zdgPIt3%#miS+Hxlb_1<Q9kp^h6tkjNd~q}F9p6C~?7e#7nROl+%P#bVFv18JQ8Ca`
zY_T#=>}~`3%W8Q3<Oc1^CUN|Gb`7zSlLZ_P>|eK^CgIJ0$GoCDS7X8@udK@mV7ldF
zsEofVZZeRJ5N;8~oDXZ)DV_kBi3#Ley@QCau;9M{KRzsM{cdYc0dRP}E;_AP83)VW
z>h+a!<Dsp$Q>4n6a3gW>VnV4Rwq^YscoN2mM=;}I=PD+6ObU@6H^}48!)Jp&bgV+R
zb>*blP1b<tM~bWd$>O!l>f8PH%j_GRa)%kkR<Lz<W*fJM4DQIjDf{-`5_`|j?vFgb
zEurrA7DvZ6Db#siH2t$<k&WZGmx7!up=;Z*<(-EJ=-AP`i$8gh{p(tu{l-EIun4_f
ze1sy2tycG*AAh^ZK7F$3i1xn~U;N-)*5Q-Dg9cuN>t~nP!@g0n$F`e;!%Xq1E?#lu
znNg1Dy!?-?vewl5Sgjdw0=30YLkvIVhLwB#TxQ!c33a<w&0s>L{pFtK)mTt#63+E@
z73!C=U+;}Gg|?m-x<!#9IQ_})Xl?@s+8y`ky!_Jy(#_Xz>OCxsE!<go&Rv|?7|*-J
zf6xTNB7LXKt_WfI_gn4VtGMx~d}vrlzcCEADw`^N5kzys8?RAY9=sbqD9!I_45>B_
zseg|OqR=Auz(_VPPDthoJm_XX;~J~BBn?4yxqmZgLYyC+gb0~Gw=sa*d${*4uOMb{
zi)ChK31Ft<=Hs7+jbLbP*6AfNL7a`^x~pX?gyJP18nO->LE-e;o7uL4*x%XMsmLvY
zpYz$#>p6_TuR9<uF-s8lA9>L3J-iyzZ7yDvOE-kA(F*&1C<&pT@obyQ5ix9(C?Byg
zGK6JMZ>B@N5PBFMJ1P+=jyqdZ)CIa$_^Dica6^(X(q*E2_T)=o&#tHc9)%l#)1;5G
z;8_tYHhelB+#`uW{7XYsItIY&(sTOVwbfYa_FrVZniTGMrTS^_ARR*bw;g2kta#9p
zv#<V~H0q0u)Z1jz;a77c@4sv@-07z#^m$nZd07`!#&*%+gSm9F*a30;m2&4^{AD>@
zJiS;muS17nOuIS4lE74N*^=)p1q_K`59x8xVZxxTN!m~nzkYTXRS{M~IfGxdhX-k3
zU+28R#hierE#JhypH)VgdGf)Emoy01;(cVaRSI1{m@!$Wh#2SCSIJ#R13g;s#P$Sf
zTsKs?^W;TU+$$d-Qe01i&dWMqY~RbE@9rz<<)tKS`aE=LqKgKyWAQW=Qx4-J+zzkq
zRKsq;WBRtgY4B}BOZK5!dE8Vg$z%zuW8^i7_dun?x9}#2bydW=8&^x5oHWqKPU~z`
z5FMUuJapvSk`nf)%S@k4)kJ?4JNv3OIy6`<#2-c#j51m5)E%PWi#z+D1lbxui^_?u
zX)Q!t756%zO-CDDWEVml-WWidh>t#-t%@S7IITyAb@29qPoKk&t@!9%nfKTu61tt!
zRZ=R}MIVRLejIcoa9R*nd-zBV-LH2m2{%zuODR3xN{|5qo`)43YsvV!usuGdSr6CP
z_*2K17$9iBOHQ^{9qScU9!(bL08v1$zvIiT-w3Y-O~8HTklOF+l^m}t|K*E14bR(5
zW#7;<1$N~X6T>1+{P<4Q`|@@g7I1q%U+^}ArMhWKLi9?%s7T(d9Z18S_RsBx%FN*%
z(WNTbSqm=*d<!h~q+zq{{2};b0n(%=$IO<rFsLm1qOJlBU7|Z4)jC+gdicF}?L}?W
z|G6{u_FjFo@OkAam0}H(9Yl}FIc=oXojYQ0w&FEGvyQlzOi<{eh+m}ZAg5pgj|N*8
zBN_zRhQR>OPf5Ne+vwoa@k8R<mbB4{dXDGSJV5!;XTSHWt@OGGm+i@`w6I^axjT0^
z3mhjMeZO>QBcrTgctei{78Dkw5%05rl^t<#)<YW&&rhd6PbFi7K#DESvA~S$Nk6MX
z3$NB@{moiWLVDlm8zDIxApJcQ&OJau`I>EKs`-d$SK)anL&F9V{dl9Jr&jis%K4S!
zp#oaita1CIWCLQ`wutuhX<$BeZU5C08QiH8s-n+f0~F_?tLJOfk@Q7--=*)8=$N}d
zN2r|zZd|@CwDV*XDvPCkUioMHbGwGUR=noaeAvZi{Yu_wYe-*rR0w;w@txy#X2Jc$
zf$+ORB+TJyO4AAFMgIf0PggGj9G%{Hs;iZV2m3ujUT@<>p8fCKhYA6<8ERBrFjhh3
zctUB@pC$H<7QVmvE4@bJRMk@Qh$8Y-x4kgB@rym*{!K8roe5Kye%dwNl1Ey7I=SKM
zJll%@W~quK69SU1#obJkMWeWbb)9)L?C9hcVz8Svyonfpzq3#p4-F_QOj>_qM+i17
z$z5LQDMODJ+q(%X{6A<s)IG({*r18bE=zdqEPQL8E{Qw7Dq9w{d|@{l56wMRv;<mQ
zFMsD<aqK8o{@T<3g<X+<LP5#L0*uaIdDZVJhIdkS-jnK|Vk;($=G0c3L#@D#@HxlT
zIBxUVyEp4A+ugc2;WfWGT#0oc@6r**ph)l2;^E)ftVaX3zPrtUnNm}h>MV%v9%Gbm
zlQV4NQ+0utYfVAu^gfZ{JNy{edUdZt!W?^#M^^26B~y@0+A46wl@F8kL%3$P{a|-)
zUV~9*P2jp(`rSY+UW^;KO)_!*$+kTH+K)bE3=FmER2^d;+~X@z@OtlWwvhFw|LnIJ
zgBo8?gk}&o-W?lp+mrT}t&umZ^57K%gx*>As}FMFIjZ4p%I78a%uuFDs4W8+C7)|d
zPH<s}u|&PQ?kY^_Qx}VSY6Pz1>D<qaxiGwFbM5mW4rG}hl^L}%0*mEY*%(DGv}?)L
zzx{?26O?WrOsq46I~R?XvNgCckLLrm(SjRCAFkV-=wJwbI-Y;dY~sR-;eRBRr#u*a
zH&t)0(*Q_`i@!MYxiCL1?1Su9KJ3;xe)a7E1GxP+WZ7Aq8wY1eZQF$fa5!C~!ESMd
z=htFnzT|S_g*&^A-u4ON+cRXxpfoxtMzP-9apA#L+Gdtnt-`oi^Lpz=1|0+plLOm`
zya<1f^U05{MvHr`YW2M|nCd0-)Qj`sZ`y*xM3NYi_EaS8kD`Ilf`iT$GCvkctd4$K
zFODjv9V&GOG-y-kiN5A3fcwqHntqE)VwC)Qhln<P(7rJ6a`dhs+W+G}o*G2JprhY1
z%Gc=wx#&Hmoi2<!pVKjAUTP(G?3$&u>VeCr!RtmnBIqp0CpwcXgTEvKnl^ju!6#4k
zNwFKEDA-+3%6FE-ju(jrCBk~psHfBQ>a7^AZLd5Ps;hu^_k7*>y^#t6?LP-EjftZs
zvA#u-s)VBx8KY~`s1W+H(%`J5Bo+m(+CSi`f`6?te(;A=Vf({>3-3G$m^bK5?R-td
zEV+`ZpDX8Mwu>nRkEHOk{e^@BJS42FW~gXoQh~S1^6yV$8Jw2dx7vH78rGE*5Trg(
zq3c#Oe?hA(el2nTAXG-iQ%4_#rdaC%;pce;y>s%IwY>iMq_hSW=}#PMd#ML;%;|u~
z9*QV`LH)qvBu#YBi6O6z)`vAOcBc>9D`WO5(-(9pEwp~n6#vGA29ArFm!DIJxF?kD
z@-jyoD-*U1Jbgif6AlmBI?Pqkb9wnmy7mg69iH6RJ3)s70Tl}JTS<6pM^KVdITb(H
zIP^=}89-zJ>G9qOHQeZ&$JSES$EuI^e<lqL!9jL^;M1FA6nppOWPl|Nv(-4hgsfTV
z(Ieuge0tTf)P3H1X9o@YPoP^!2m?fya%`%2H1U?k8}0;GItnVgOmBK&3=NW;zX;kC
zO#5ugZn{Os-?J{wy~d`nYwB$T3AC`?zn}HBpN_F_H;T-y<j?3;<BaE^jdb#+gJDB-
z?AyC$ByN)hbYD%7K1kNV#PZD3x)pTf)Vo1RpRt5yEckM8L<esgo+!;*Lr0})CHlU2
zYp4~`I~5qBiw}#XOF8psxTSH4$SVvmXZo_~dzUWy>nJ^W8?TS6j0%{V^#GlHbAM}>
zb@A;`@g?yfD!vnxt-tTf0?qlF-QLr>80W^1T>LtCzcjD%>O2dQ?(<QvW$R*Mw@7o5
z7X^7Akazd*vjJ+{)B7$2U0nTRRUub`I=&Dg?^ms|0k5d52bx@UaBI@2y<P<gpX66}
zWqq=N)b-1WwmY<uqf`F&riUt6WqU1Id%*^HW4DP`nQLKN^u@P!Zu0oKvC(&V(gx-~
zO=r@7Xkv&Dp~BHw3PY`%-Mt!Zz-C|I&Y&wAsCG*tX}n$xt5|P*DDgI+y#2u+r<I;7
z%x?Vm?1BJV9e?;Y3T&YN$A&*fg=%=j+xacy1}DDztA0OxoCUUtg1Hl95+<6y9FeO3
z&DNxDiF*^xg19;3V<tC=xO?jG_YBwX?7rF6G4~W$aMHCzuIRWj7MAq3a9kT=&tWt5
zWBE$26j<cUs8m3=2OPfeyNPX967=XG00hOCk*p=;Fp_tycl=)!ldHmtcfNoL?Kff$
zpUjfRsXRU7v%YVcAIhG6JKAgwz9EnM4s0gi)$&(+qC9$;UUhRx6SG$E?B>kGRSO9;
z<qR_GZSP|?=AC`MPt^)SCa*v7bP>bC-`As!5(k)(7b~PgH(SERGRw)Y>LREhzdhrE
z$^diI{ZDDZmn=ZJRpj_Immu0?88-L|^f5g`?-%>Dn!}{i(AErNKD0dUa?SfeFH?2>
zHv=mvbNEd7r>9uMjc*)3yUCvEWC|tSoPV|AuQNv;ej%RcL=_jshu*i^m|RXg*+X|s
zp}&3hrb7BEB)+`cTRPCl-1Lat3jC%J-W{a$<=qnd!Me~O%k~G%=?+R}#Xb|bxA)W2
z0~3GPv>~#{lz#}bH95fP$8%$N_2-zj+QDD!PpYk46nZsVrC4bABgGgtSoA)pty^G+
zRCpUN_cyR>+HIdOQW$W^dH+7Q@OifRlamVjV%yl0s^?y{FB^f$^tpbKRdekB0RRC1
z{|uLRIMsg?$6b45?@_qMy|}JB?DainWh5%npi<H>QzR*blA_X<eifxbWRLoOB9xK6
zM@Y&@l0B}U|KHDf&hwmep4WMaY+5XImuSa}XW#En4Ag~IOND)Tpa0_3Pj~++PVT`K
zti$W9e=<RL)cx?`#wmQ3yBw{?4&YA0VT!E>m_Yqy=g1>Eg&(!ebh>Qy9S4uj=Suwy
z(5`GMxx@bl&%4<q7sxq+YYTr&6Y*rgSVU&Hf%7DOBkN1i?AKrT*P~Tj*S^z%68yl1
zI{6zHJhl<dXN==5nTcAFC+Kj-+~tKp&u=`4@oQ-4-Xtz-QeM+NM+0WT%L9+aCh>x9
z6|1k!Q@B*BZSR#B8vN)#E&n5F688$We`R)J8b9Lo`N>6T8k{+NGj7`D4}P}cEqW?D
zgD*em3p?tr10hba&rWGg;Te1`JLQIE@f|<*l<3A&VQ-sg#Gm>pd`P8NXYKPmUV5A{
zyYHhmy!>yleLCqc?orU<KGnR4<4Z*cyIB<AJRY%qK6n~$rsDIRoGW-tx`%6)B?Zh=
z%)3Xz{^1Wj?p#~+V&U4Z1|CBRT5w4DWU6f14DOcXL|F`DLuXj8u3hQV1XBYW&0W*$
zeaP>zIyyi=f||0#a$QYeRa8~f9i7MdwQh4<KEi=ib@8)>H#NZjN^B32XAxKA<Z0~_
z<U&{}dvMx385pD^Q72lK@M__|iHtsOWL@s#*zQG!`Ii;tI*lv1USW~dqYhrwdTm88
zyMqKYG3$4Mgf%=+Ou{LSAb_$g-=t;jAi<gV<B^^DY^dnG>G^C=L1cGC_^WTHIy~HE
z`F);`9WhM;&eP|G(dvWoUzy(Oz`nKRLeB*b<ZF9w@x8Yw;^i>u-?OF$MK5KIugP(t
z4F8DBS~FtkgI}|C@-sEaC1l0!U+<4sPd$75xdci$DmYrOQw@S|3;TSp<wYG0Xa10)
zq|o-DJAFqb)F4K&{m#-TKQc^{7TI`31`Q;c(Vq;f!qSin2W}#W4lz9S_;5K?|Nj0C
zRILiU=0_f1suV`$cdv4akv5{guRX=?AXNyVjq(1l5k=PMU4qglMdWuX=SN7hDojsg
z+28ykhVaIp0=pfQ(FA4nuQNdnZU<Ebiv~!b;?<t5wk<@|qqg|A$XN||ZYbN{G?7Bi
z<<0@-A*!gdzbb0svl^7?vFnLaWl)Ip*85`y>d50&REm<XI=Fpxf6Uk_htBaW@Xm{q
zQPM8116(#Fxa8j^Abwo|edTN){J^V;4D8-b>Fy@O%Q*TQ{?$#Wz2dalm?#Ae-M#ap
zJxc==NM;9fYLrm%;tZKhgNnF}rtJKjwV>d}6VnJyA`0L~yUr46NW9-Q<J1;ycs20U
zaQ2}J(&c}z(n+BsW<`ig*+U(u;H*8*rl5xE*_AR!v>0g4)M2TaOoxC)KR?EEbtIeW
zII1JXL@9jEG(sT*6zQMJZ|ag!ul#@ccL$irz9MGwaHuZ4Z7C`V!!-~}j)~8X&_(I|
zZ}oN^*9QqTv#<m+EktX6`}n|jU1au4+N?3w5IT+iShPH&plvmi_XY@h$av3}>B$OX
z;C@f`l^xMWpQZOt3O48>gVHy@UyGZ;HDk9s;qz1!XzUdB&r%m%mpvp)IgG(r8J9Lz
ztAiXCBDI|MFwwr+^4eXE01K2m9mAS5<ls1;Qz^|r<@aA3#CKVMRvhEnH(MGCe?qMG
zzeGcBb#{XrDl8$l(2N<OPeX*VD{&m2+Q@ddYiN126^OrI9CrPygLXW-(Yx%fflfXv
zVJS;mgX3(~)fojH<a4sC6eFpjoVvFD;ZxSY#+Vk@n$t$**Jr=f%qXE_e_Lyf|FZ_3
z+4!=tSPD9saP98rPFdtUbK~T>N7nGWOhKx#M-x5YE^hG8Qw$x={nX(fXbp!_vh%q)
zG*E_+d7!BW53-p14qhtOpy}{CTSI_^uKZisUK2Zy?@y$TP)n`g0%Gpi%&vx3rf!RG
z;%>wR9oY#dzzPs%_(^e=h-_^(I5u_t#Ilkp(!Ir&(CK;0`^BUZV!I|5X?tY>+wisH
zq_VapwEfKQzWHY(Dl76ndsLPH&$cesJxsL#-fpwH4^%m{SGP#()+<g3_NpSD7qx&F
zZEu28)1*+k5Bt6@Di4e#?Kn9V2jKTu`eT%vIEp#BT1oHbg^eXK+7285IriqBRdymM
zd!@fGw}%fbRg=}O@?tO=+@hJo;zuVnX{tB&@q@yzfd*44a~K&D-+k#97dkS3ueaj@
zKaAQqyWY_;1B3F(>&Dv%h{jRdo_B~J0*!?nly{m!fWEr%Kj$UfdV6u^iUL2BPR;l*
zqfH=}6{y5NIE_1djpwy}<b&U0HNQ8M8N>LBtFM~>FMM$K?}TFq_~5?>;V&mvjUZk^
zvvmu97ap*5B0iCm4{Dt5U<zA|pa^5=$n|F8nx7Uo`4sX(^9}8Zx%-B2hrD3i{q8Gf
zS1LdE;{q=%_IX{Km^Oe%6pO)3^8rjn@;J@fix=YNhwY<W3_vn^oY=VZ6Kkgyzc_wm
zJufWT=Uk)@X)?iBCE*V?QoaAX#T8yic6uqutEvwvr)*<*il?y}E60}$jl9rj6~X6q
zTMv|^kB|s?vsm551bH)aJ~(iU{F=5w4+gbF#K$5QFxS9U+KFa9aOId^bGWPvZJUf1
zyVaI4eHbLYyUq`$xRC4<K3&ixjOMN8u43WGUbr)Y1)%u0ryenh2_4C(vPqT=Fj4vc
zBra`$@Z$4Zn&g?#Y#@?Cbt3>#V9F*17leIAhW#aP7?9%Y+<4^<J1i~dY|$kP0~^=O
z?s-cFTzMT!66xiDA>Jvh%u@s`9Rn}F?x({ggPe2kw75X}^v{?_R-#~+!grVNA{~ak
z-xblWaKn(m(54CygE=#G2Nx0@c#8uYRTg-lBElxzakn_IpSOJ0-b#ZznEO%ga6Ygi
zFkYR$Dgo_%qXmnXY0$ECVZlU303^k~CS2~31lu}a7Q>nbu_X-}QjHs+f>56KZL2gm
z_Y!+VcxaIJnz_>PTnOavRJe9@$iRN)yWTTtI>1Z7jC!0zV9Ju%h+^g7N^+s=9|s-y
zsGBQ0?jZ_Q`)$`6-4r0p>!so@J{?ddDtsnJi9vG>;WnScCdff@sHleugoeD0izVW)
zbb6T~#884)>CQ(&s;J;Fz2SEqza-FF1v^!?E5oH-JuIw_3OpGU^X?!iP<v#fDtVCz
zqEVbzrKYG5w-Pw7H6sm%Ywli~KdQiandc{W>ghmKO|<uwL|JI)nvB0ArUrc7X|`#P
zbzpu+0nyV&9#nVSGNuQqgZ@ZB;W=3vq=-D}c`CUPhUZ4Z0{TdB;#Q?&@mU(^TT1rj
ztZf2^5aWb5+cjXWIX33SG!0m)0fv&1O2Dl`q={B*LPN~JZP!>j=$f_q9=N6qV+z6B
zPa9K!{Db)Cl|BPD@3r{E`-}*5QhJujGi{jubeUV1iwOsF9>o{qDsb7+2D4tE!q4RP
zfrV)%C<TRTcn_$8#rr4i=hpwWia&?xCTx1ZyEF2)5kVaqV|}_xAJO1J_tt7AMIWT^
zb807TBte#T(SZxRbfEtgjHwSc0QwQNUkf^9U~|a`HF2iHTo0A^XuBcYmvAL+V`#u8
zN}El3ARRW;>i$i)H-_)H)q}o`njliX{|)o-dR}yIvQNDUly+{M$r#rJ%B!{RY*jjF
z9(?<1$i)oq-yZ)|nydv<OApg)vuO}B6S8lz$sAso_wBnSMu7`rrL<eTG`RXjQ?f=8
zV2OW|ev&5zWZW}e#P6p<vRSp}!Os9^%VLim384T*WW%-sX9}$2;Ca%13z&#bj|z38
zfV%Nd?W9!=cvGQ}KGSUhQzuFfsjg{(eT`jKcQ6T}*G^t@Ftdau+T_1he=XRvklK}2
zuL?<Tz6TUVS%R{&ckA36O-Q^&(Y&yU2x6Ox1R7phLfP}^qOwvA;0CgF;Nm9mko@Kw
zUtkGZj~y<SKP7|n-L4(gv$Ak5zEVy!!xG%<2mBu#Bf(V5;`vl3Nl-eYYJ7CP{zTT1
z8W$OLAX)zxBB&q=Yh4WlsjZga#d%tbP^b!B4=!J@YT$><S{`ZbYZib>`S5r+sz9QA
z&MhZDPT+jDGu!T!1$5f_6`vVW2F{LvZ(S-ZY~kYYwrYC|SZ-#9g@!AE(V^oSJ?^uZ
z+s~(0b$<fnKM9Xgx7Y*=KDFgXGbgYo>G>(F2mtSb4fluA<st9F7jkp!AXf0g(M3`c
zz*$bH^t`q#xLuu^6OV1dc5c5NGqwwZj|C=w!+NFQH9f~9%^G1v^l7GVv^hNV6-Y13
zmw=4zF*bwS;;=IhuZElEnZb1N$H%Bd3|y~Y)4rkc8uuIQ`M!VD6f9vrt#4ceqAlxQ
zd=ARRrAFKT2CA5XqiSj7YLXC~_Gv#&?#;%3C(Cg+95R9EOFNTuQw5-PLgs{VdMfT+
z{l@6-3u7n}7d?)x@<QFpaMQV<2iTLyhv&ZhHG=(xxlRrl+(5_=`zW1Xgb{X2pW0?&
z1cAQ)UP?UVgrh@0J{vSvVZn;NU4%P^ka;9-_CX^%9Lg4+n^J4S8U`XbivJjZz&9DI
z4l4q5^O`4Yw&=imb@Qz@Z!>_<zI|%>-_|gd*U8s-9`|8e6Akk(=IBG`oAkBj$E#R~
z!xzE{sUhslyu*lztUe4#oY<;}FJrrFozFJ-|G@madfvOl=)ryIr-VIvOISwbu(C$i
zFRZKS#^BRgU3j(YtitNj0@i82am~kN0!zy@Z4f-J3mK|N#+GjZ3*+y!i0k`<F%=!_
zLx-4f_2czVMtkP5!_y}z;`m=oww6>|=fQ*zEjzQH{hGu6c|`9|OZkUA{`tXTZrwK{
zBR?dHWzS($A?bTp<7csgW{TpELk#Gne!kxPW)9n^&s(x5VICv7=zK~TqeFc;(SM|8
z4!g-ac3<@QA|~}_MSA!&9sGUcq}WX6v19Z1K8yD*W8bdd&Huqk2X*fqqGvzPV-nka
zKN6WN?EEfcy`;M|IM^iRYahLU$&6MEYwu<QnUT}UBic0Z%bH>eoLI!vRk!%0ydgk=
zgv`akL>;KjY$zGHu!PB5p6&V~%K_~tuf&GdQo;S1`e1bVGL~A;`K;|JC$RSQT9yb=
zA=E0^$xwF{yBT6#Ct=SGzOfk}`rNhQdI`L%X=h>aJf%k@rFfxxHZV>rlL9JR7X3H7
zvVqq0)`=%P{4jjiBa4lX0y}fL59{nBK#7VHd{Wr}jLmv`ntin((fRaBT?9K+lyDVQ
z`w4*yb%?;|)dX>Avl21H0a7Oe`cuw`K%cgTPxDSqI6PfntViSmsdr@AnI=&nADs=l
z)~Nw`BZdx{FSz04^+k_KdvUPuuvt9rqXCWit~2x<yl_0qzhC301n_?{d6L1U0n_f6
z_m-0QLCJ!Z<N90*`gMfAm*<c{e{k2kaPkIV%@ihSCCEU<<DVuM{K#-qLZPOAw-9vb
zy8G^WC<phS?1`T@Bg0pRuqYD`5jdWt5`Umw0am5#f}Rt}P<QCwTKH>G$f}tzypJgY
zT`N5-Sdk1n4-vLXNQuMBo!e4@6H0LKdy-qF0U3V0boto*SOP*+|Ezv+CPME0g^)}B
zWO!SsIhAB51>MmB4~835z(r-&Pp6g)auV%BRnjt`)RJoz=&c5e^0&#oP8u-D$_;zZ
zD+j*_;@*l9B#>JUBp7mN!i!bPUTl*B)I98*xYbUEpMpo5&#iOiKa*|N0lPQB?Z*eB
z#b0T{IV-y!Ct(W6JFBv7-Kzva?_SpGT%o|gaQ=?_r?tV}J@<g;LuCkG7BdJuNd=QH
zd<mLrI)Lx$<g6bf!lKy4A$BzyOkcjrAl;+^_r$krtG4TY>@iV}`022$Sb9UEj1Ezh
zJSY1%YH)&=95wij4k~=dh37<>;J-rH+$l+dIIb6at~_MGzTzzgQ@3>CR!wnc;CV7c
z6wcSwGMVu8D1VX`=)+w0P-JY61~ga3w<)ADAz-|v!coi+uA1q`7?ZT%_|a}jLL(F2
zI{p>l=P(BPl|;73t`r#8UQ=1dnb6iBGWCPU6gF1sO2~L>!x0@Gv*+GScxHQD(nZ`H
z^a5R%|L9TS!*Eq}FU|nH{Gs-H`~YtQh~c75RM1V&5h<))=km3|mfx!Yj<RlZog^L5
zAs!@C6KUWxt?{yAotwjLfssQ@9iWKsOm-wwp{uP)cIBQW{G9PPT=16)hk~DTKX1~6
z=#jX7QHB+4x`5*K4^lxmL#^_gDG9pQDmXtrv4UQ$I?tjQZJ^wk8dFbH0rqk63a=3>
z@SV7`^6AJr$9E5PdUYv6HrtHuKQ?Q){=IJT3cnUap9%W4JSGDVrg|H*XRM&2@Ljdo
z1r2bF{SrMABL+e>$Lx}-tk&-}H|<yh36A&4=+{2rgXKSGm!iY1pm;KW^#hMOoFbm~
zq3>M7UTAT))GJuQ-ac~TTju(FnTo9@;=eKbU&3eoGA&`THEOtUKM`npPm4<WUto=X
zBYim25>7S+|LD4|1bgi&gduhqkJNlGY?fyM_Cb3N52b8`&aAOn+t1T@0=rIC0K)?M
z_wg9*vzCJ+MuPjq)faK0)=w0+9Dq*ukY#rTX;94VtCq-H#o1L4j#beCZe09vAJde8
z9<n8usuvsL{wOa$cLD<>?C^v=P!!ta9CtVEB%se6oLXt&<{)CEsjmH95dO;^svtHI
zkg&Y$N1HolP}cis_O&Y?Bn=gX2h0-C+4pVboW-Uvw$DPn(vS<vTdIPBx(Udib6_fO
z*aT<+N$mfk3Gm`=a^CG^0vdfI<2NT`0<MvBL1TwjF#c!bGl9AU^d2VfZ`)-II?|jI
zS5M7h(qghU_SI}?;%S$-(S0M><Nc|9QsXZsT)gApEjKoFLBqa?F>DBzb^q~9kN?6h
z<=i?{)xCzN)cVtr-n#d(dv1?N9KZyd<c~FNT*JFf!+Zm;89=LO#qxHn84IuYSdkdX
z!e!FF6TXk>gMO0uF^+{?>~Vo~WA6qQF643$J~--w_eY+MZGolu_uoO11)o;&!G?<X
zqI^Br@dKQGMK|GL0h_~e->l;Ey_C&2iF)wVbXUPKat|)V8ohd=dKH(y$(}EntPA@V
zC)mi#gZQbc?6Xx;EPRijaIGZ2E^KeR6+{&n!3P8cZ7ow+_}=bVecww=m=FkmwA?<5
zd-KkPYr3!D;jhBtR@s>#{z7<LvHx$}WXbsBArc#^bH|dhVi=%k@L>FI&=hW+5c1p<
zXG8b6lox$BFo1PqVD|!X8h^h{IcX-Cfczrf^XS~A!=cD0Vjmm+;RbM}DRwJ63N6dL
zH>O4h+XdazHWy~`A)1MSsyPQzw(+rhTttIygwv4`2J?7Hsx`rQCnxfbm+f+PqQUVu
zfvJkD1)SCEcp~%~7aA!m-7Vj$1CD#oM84`=!hbUBIXlO>kuvulMy;q0u<D-4N7b$1
zT%V%ZQv-RCsr9YGQMYxU((evl>1W{q5efG^mHE;4^V+HCxi;)cReD<-&xS@1#%<?h
z2_U@mO5<A=1)MIUzb{J&h!$~=R?RPjHhs9kq8*^X=2jbu6gvlcOWwkGs3w9sxLSI8
zYPH}(gv_yCFHY1gb}IDVK~eN)^|I0lOD&i>=|3<x#D!iSNf`<#6+^DJR}Pnd(uA_R
zgT#wbJc!&=|7@?G1iH=nWNc=KCM0w>cIMmgp|np2Bwja3qV(-T0git);L;h5yhR-W
z^m6*lO8HG`Bza3f&@FYHr<UTPjn;zbdVfF_|2bK-pO--TxlaR9vR~cri4#T}s<aPx
zC&;6_UTz1-IvUXW;CI|{mI!*3QQ&)^W+O7al;iwdS_5QM+{E!6Vn~pqr3aT&LWOr!
zGTdb~U`vk?Uv;H80-JeC(@|w~P&<&7YoG!7P#|sZDvACHd(Yr?M3fY2<o)W51_ZxX
zIWfsCjbzmqZI5qNMe{#v#NKyn0JW7WFV!W3`g4N)Ir`KP<xJVcqK_u%IXyh}rCtvC
z4_-Rc7ehj>N!JPU>RKRQr8R%$hXN8ZI;^c>p@GPO`)ZLK1(ISHw1`TIsDA&A&zbyM
zh~y}0TWF^Zqp!~F(fgo;g05#zg!NL;n#`@<9q*}dLiG$E$BHuIEm|vikVQq6XEVEf
zOlk18Bk^GTW);M<neU>v2@SE%xGTF`(BbDmYQgj)RTSy@CyF9LM>x;p$pn7}wA9O@
z9m{G+<b9+JXEz<a{yIoy|I7rw*BQT)_mEICQM5?s5(CwFSou@z^gyEWu!DO(8Ck`+
zoRsEcqSx=fXomb-zxQNL0vo3$a(h_wpwfeh79~@c8a}LZ^PM?+xtSI+!~#_xonxX)
z8+?|xr5S@!sC>`NZVFmo88a(4CW;{ZERwlz3Z(xEHip=1qjc_{4ll<Us5`4y{dS@`
zI9MMFvk{=8^r7xs;`$6E$&_nd$1EI4ACA#Uq@sRPmyrnrI-1AzatD<xz|z;~!h;4X
zN>ZDYJ~pX?7F^$lDNb5|j@WUkQ8g9Gv9WI~TcMzgq$#D)6iZ0V(3?y-MMc5&Q=7?!
z8i-fDBg9_a3O@YG6pCxpM$5k!zYUwKBb)dfdCFxgkXw689iO5gmkVR{Z3RU1h)_PP
z_|Xdd4gH4xtJ6Y4CoxLI#Z74Y1NW+gW-Dm^r)}31sEKX|x@LU;BaJGDt(&`XE3l-*
zYZ{J|QES8Q(4t?WXw?x}f4^o0p>{jjc3G3q<HHxco{I4ybocFjdrK=Y^E@~6{IVLl
z!Rqy>k6pu+EpysOhb*Ds_>ur`g$k<6+20xX>JRS4+R$x#+7hbg8RE=UWkeC{ym#YW
zHU4nh<by3N3+TNkrW%4NA*GHy2X00mw&iQuInF2x5XvcHX((?*$H<Z?xo0LZf6s07
zTn-D!!nO^CkISOSA3tm!sLx_G*YohQ7=ZSnt;73%NTHkpkAw-&MeIH4>2Nb2z_$(|
zfv4gUXnL-@cfZ~W_FwhGS`{J&Gv_jVMnXl=;*8*Px5-s(SYq3>m7zJ5rTe<JX$c|y
z%>7jxYFJq94H3WBu4cfY<r_NL!iTmcTt7I&Vqr!f<e$c!H-#69k-v|Pa3SkYo3j>5
zSeVMCw^D^~OrVzAvTSxgJNiL=Dle|e!rEpn&i?vt4DkWyKVUvA{ANM|ljy#RQKe{X
zIYeV9=AM^{saU{Yn@>-)1+8F-<g})TK1Oi+m=m7=;UA8WR@=i%%NQ>Ekw-V*5VCgc
z*h0TOiT_oJ$vgjO2_qd|D&yx}-}8`~^ljNAc*v(MFULPGVkh2@*_RwJ0M7c}Wlyhf
zxH~<f!%uh-^EvhV&Cd_|(7I@oXSv*rrwwuLu?|_llKKRmSQ7Oiv_>TTd?SuW4osyC
zaxP#V;vdK{@p|CX|4+nAGZn)weik`gI*$$K6H|lcbs<<Rkz4R&C3cj}@BC!SJT~>L
z=S{nhE?l~)S?Te%8Iv>`-8T1X9wQcF4ww3wFxkg-{nktumKI+_j2@ZCYD&&F?cB|T
zg8G70;?4nV*Plyyhqf<ZvKI+zq;>}Qlt2E;fBHLyMSYdnF}i?h_`558b7Mf0i>}@2
z6C)Tk(`HEZ-6B@dD<^rRj}8La-PEVnqnLZlUyhE~OBns2OL)3B9R~Sjw^weMz+&{@
zF)}-rF?j4%m-LSY_V^xdorXzFS75uJrNO$FujZbTzeIy&yP9RA+9_;-(&u=uj)f)7
zj?S6M&_LwbtHG`M(^#lo@q(x$8z@u^93J!3fqccks)?EZut|p1gOkn#c(lNEG3E{x
zRFfNXU+c|c3CEG6+-Y`LcofOGw^bWnEVaZ_TIR49&666$l67zOBIaI_)duSAu=)G(
z3)q+W0JF|@FFdqeR!GyE0_FuuB5?<nuxxzO{=pn>u)m=m7geGKr@T&k{pY@dZFD5u
z&_B)#5BU<*I;FJ0ZHB+EIE;lIyUSW3Iq`#pyH7#<IZfa*ZXESJ%myR3gLpg-Z-DH3
z-jBpbH9%{GEBQql0j~E3d49_j0!7PF5B>uhF!xwTwUvznGK`2+j(Z|-eoNJw#vmC+
zmrwZoI>!l7-_ltX^P(_3IlkM?mkil~zp{B`x#4-S=hnPXafs?LiOAq0gY-&ad~6R7
zr0(1~9J)~wX74|9^?gl(f8~3>k5}=*?N-5p#$QqpA9gFk=l}^SNjZE|{Q~e>>Cun4
zJ{brqJr?~(jRa1_FD;=YAuzJ5y?BHr2c9)YPSvy2fnU9HWs8dlbea$+MYnAP?Xg{{
zVZYVEZKt0hEmIVlYDZOOzA8dun>9mfRvp;?rKQEGi^F4^d#RBY%J6g0QOZ`91Pj#*
zl6#N@7{1f&_>@nC&yU<ztUXBJh)q6C4wnMmla!<r)~X;sk|R9%nFL33GC6+llYtD8
zwYA9!HTWL@0RR6Cmv<o5eH6xRkutBn_jO(C+Us|0BBi8-6p@q$Nm52qC>h!1rHG13
zMkTtZqDZ!^lr2QbCe`cT^Vj*F^F7b!d35Y<559F*hV)zG)AU24&^$qw|5B_3=DNvx
zKNZLjmsC7E8ZQnv&o?V1M3Etx#g3w>paT0Cjz(P=l!Swp&$jg*qX3ER-qSap6iBLE
z%j_tUhVK`K$oD;{ko>63NpwOLF8k(i=dQ{?+B1ER{N3tsC;a!T8&zs>k4xnnu}2Qt
zS2vd(yQ={oc5lo$dRhZ+zxRLf@r^u4MDnZZC1`@b&*}dEN;QFVJ}-f$s|cY7gd9Hj
zYJubBF<XB*8c49d<z!#)yYGBS|6WBJWIYnkD0;08=><$Bp3-D6iLGA#S4jhr%&KqW
zak{_|6X-a3MFmP)CIxK8wL#NVrJ*BKAO1VDV$jz^f!W7zESLywpj)>!w#FI4hr2$V
zo*SuP?pT+)S411yTupnh$QbNAe*NR-RfEv1W`3bO8rX@ge9&((g%fA>r6c>*!0h6g
ztD~Q_V5#>0nAB+i_L$c<ERU&!wB4%X-Zz?X)%MopyQ5~{EOhj0=_7S$-1@WhoVx~W
z*`2ocKU;G!kX_v0lcNrmKffiboufjiMPR{xW(zp;-ZM!Q)FGizE#Y}D877Pe)yi&K
zfaMeI>ZI#xFr~W_y*4O<$Gf#c&J_z_cjWZqj;F#d116JL6<LU_Uub-!ZV9teqn8Tp
zRG~TX7BDr5gK=uE>kC6mNZuq6x}iY@wyg%7%Y8|L!HUYpI7v%blk?1qlqAFON@A_n
zt<CTyi?mU2&;ss!{}CbXqy&a+*ZIh{%)lIKy~r730Vk)7xF4QSfYSQ=hGuGW#A@%}
zH6;lPm~0Z46pfaHmeS4S(YQKd_rb>@1$WIMb+<(7WVQ@!yXfGMH#|%iw`?JOlQ9QE
zbHcUxvJ~v`lDmCQexB~}n9N4pGK00&L1U3wG1z9o!5rEDn||y_4JU)38Po|s?vT1J
z4D-Afq?eEZ13!Do#U%nbzu;NraVJ6W+zJ1@GA7KteoNpi4}h`|TaJY<AB6f$Bzi6~
zql(x>ZJ-hXUe75U`wnu$bG>IqR>dq>bhA~uK+hB~_GLoR5l+~0^Ix^$Zx*~)_+n?b
zlL`F!DER8;C@atxLZ5N|VL_H^&dZZ$j3N7#L+;NuM%eT~wK3}h3;wygm=|)_2%PM@
zym+102qpWYW&USbu=-=f9)?~+h`z@5%J$s?anS90ttvkY62fmKMuZJvjPZv3tFE8K
z5!wD;g9prbVWO=0`T+xI_%J2o>N84sKQ=TcteH`-Un=}~u|8N#vkGk0>LyJ7v)%jP
z2NPzf9^T5pqz{4eb$)VguL#$rsyOlcOgR1Zbwr!19{9^9oIcN4O}CM&+41ol6LwmB
zTnek!1+7I#o_*;ZbXD`@i7rnj480T;QYxnlO_y!e;+zKP0}&j{vA#?=bbaPOg&R81
zRJ`TchL5B4f`4<x>DQQ$rq3Uc^-mlACU~<sbWGCS?nbxSH!)!WtEt>*pf*^tU()1{
z_({JNGi2~cof&=eNj-f(XfP`%D_l7Di$3qTWv;M<8KXaNy*+%K20hGKPZc-K(~krt
zx=HS0LH6_Y2mNNWpkgJx;X7%O{?{c@`JX5&GD>?34W8A4sM{{FI)cmez*oHT`&rnK
z=T+XyYi2DF(vXraA+6GdOV6kI^ReUjkk}Z{O--09-!GgbwnooyVW=#!-hk)tMs#&6
zYeM*{o92DBzx1E!`|$l84*Y1(9ZG$p0jCxD)v8q(P&{Nudxi2w)a}*Vtm>fwk<Pao
zl<gVu*NC`uWiJ=9aO^+5#-ss`K?7P3&oklGAQK+9mz&X(S;;7WmpYtyo73S)XGZSU
zi?%PldGNtmrPP7PY7mqj)gms!ia*XJ+~kktMNL1&O^zfr=;mq~mb=D=LN9}KkJj_y
zvB(b!<<V3~oOTttD7FDhq|#Fo6b0}W9QI*nr2?76`p@|T2VRg|eRlFL37t#~&^u8T
zri#AvjAU)ZFCm@jEapP!H=FiGm8uHUt8Zt6lQ-dP&o<H)77-L2Z7!c(*T+}X?w=>i
zxbef7W`x$1C?1;(@y^Vk0HaJ<tOz47x-gO7T>CAK;}@=6-R)0-F>(|;Kk%X4ql1~_
zG%0j;G~4rH9|ewvo_A|W=U?B`^^f`u(x{R;I$L^>0&gxH5u4;9VV&U}h5=q#3?o&f
z7DiK`iRtxH=WRipQ<Pn3IxdII=O1MFHB#Wp;bR-R9fYxKEGFW>S9zR1;oxg+xc;u^
z30wL_MUkUJa8mn_B3|+vaF}aVg)-HM>=PTr@s0I!1&$>pEId;;b0dQa%04z1&yXas
z*4XJ{Kn5AvciORBN>u|n&(qA;q@^*TO7F@8OA0#1hF#v?qz*MmHhXO;gVN7A!D?0&
zfA1JtpsaK37S~!``x#k$*;DY0F;fj66bZd~8KDWDi(;nXC35KSF>6bsum*-!FFmh|
z(t?N4i(&WX<?(4xpMq<r269%oJ_#<S0gX{ulWL@h6A^*K(HAvQjbmU-!*6ZySc$kW
z9j1f_8G@Mha%dr3(!HqbuL}XL3$sO4%D7F8=I!aPg;Jfjk6SY8Lr<#M8fB7<gO^Tv
z8s%%D26;!2*<%AJab)-0#y~;dROW~B_q5P~#*n}1q!Gls59RwVQm|h`iqdyf3td^J
z?kO6WK;D($$o#jeIDCG1%>Sn*I@c5@to<<sJ)5ej>j$XFnr5f|M@tidjzL@Z037vP
zvc3O?ignp6UY7bAsOxn?f4htsXdLc~7y3rUm^)9Or*2fkLv*`iy6t8V6(m8Itf%6i
zv38QSJp}_UN+nT`m_z6`!^8w1D&Fq?s=Z*VjIr7pR+FF2!9L-F*YbKld9u0r&tw#k
zoj<dTRn-CveT6<>9im{q1%ngIoD9xtt#(W9u>kU}7n%+AD!8ZpVfNY+32b2~?tFRB
z0%o=b+!l`{W6|`Fyx4XjWYEnpU$D1;@`}AOn@GxNu=ACI>}fvK)T({^SJVQWOm7aC
zUsFVW_h1OxvJoTS2RY@nn?q!661Ui#JpS;$=;=JigvVSjFt&!6!<DFOJcUkj*tkPx
zjHp|pA6l`TppwjC=cO`>rYACJzW6xW$7Y<)5@P$Z|DG9a+`aw#dm(AuBhM4Q$L$@x
z>hXUghiGOH<e+qCSy%!ULvzEDf3_0K{^j-&)d0JGEl~a{ilU)*+Sih)VPd}<OYuG%
zfVD6&E*lRajJiI<xux|xQ66mhbtaDh^%ci)gL(nf<8yT&Qf7#EO3bes>87yu(A&tt
ziw}7}=5T}?%o1*S#+W@|0s}{aKkd@u!CD@2gDTe?5$fl2Qf7k*?9nS9t~tzwg3NN{
zA>%pXr=8+Nfvz!p;FB|3t=oWiQO;FpewO&)YKex&jNsrLligShE4DOlZojm1mYB`R
zG%GDMgtWi6Qbg}Ep@hNcy{e#JM6dBoXVZ5B*mY>+P}pV$><e^Zp9+{ELOP$+8tWLq
zAI?@~^SIyi<Z32D;>8aFWjxLlMCrqxdh6-lOH1_kzkHgVL#GJ-v!{1g_UOSA)4-(K
zl{vclE9*T!ttN?n9|v~@Z9VAK4%mNqV1~~1`pltU^5cZiZss@H$-0n1lV0=NJw^ZP
z%pdeeZj6XeX3HO5(t&6$;ewu=Z}gY}IbVY<BgD>-K$hnoI-qlUJV)f}Fg?OANu2lA
z5Ha&N8^#*7;b;N*AkOvEr5dhR^@t4;%W3ncOxJzoaA$>+Vto(Yhvms)$<2O3bKa>a
zrEHydb+TrWCp+l>#L}~T9KR48+}T#OR2mfQwdR7%X8P`55z+~VJ`)FA{U{F}Xo1SP
zmekbP_w@eK_R#Uh9wH)DZ>v0I-4{31@oGgO{YmAbNzS!y;&IN3xZq<=h+ay%_Oz;u
zempsDq9n76I5Og_;H9exFM<`gdfV^PZyGlJRGjZ5UNuIQ&Z7nloO5Zg=60sD_$-Lo
zr*sl=A(xUKJ8FQHcJjrP#2n)E@Rs4WkWNC`J@@|aSL%>>?T#@o{}ZCHNGD(^x07hI
zt94EuQv+Uyny(Fp&j^FthrY*d=psHv$VII2tHFtd<d4?hstLlQwSld;i=ehTICI-j
zA;*nLp;_V$@k0KDb!vP!p_a^hD?dyXz67Yvl~HO5r9)ob62(2l{+*2#nbj1a9^hLl
zqSO&rIlQ)+aeO9L3<shb7%1>S@hQ`YN&`_?MN;w2>mwrBWDW`1slbFlF>AI?6Cppi
zL8vbLE8#K_r?@|r4BZ9Fc`qKe5W%?`8Bewk5ETXe)br!Y&~rg2p=N6vF?YlIE&Js`
z!Y!BZ-b*Nh<Xa0rPqq%C`2OMl-uDj?Jqg>qdo$O4aHl~f^XE^5Q9SRN8qX18+$JY(
zWK|LDQqO0~w{{Upk)sLQ1jdNam;zak1By_eEth}%M-M@^Vm?7Ed?Oa`O=alSDZm%T
zB$rzKKB8#rivug1lSK2Ugg3i&6ri(Vr;|^`SK?6p*!$3ZQ^cK`Dd{Ko<e@jN{K%h*
z0RmjVNSvHlzYBqf+iBwR@HRTG)tNR#<no6P3iZzr*DKP)yHezUx~R1z)-g=H-_v>Q
z=ZRUOA^+gUG=4d-QV&m#zdcG=o_Zr{LYXI;@8r==rN~0(tGBw_Zhj*M6z^aVX_2tI
zO>FcNlZC)7SuSU)Cx{}^zq?at%Y;5p*o}mI8Q9F@?tV*hipX=@H7paiO4RwVvMthN
zpkladaIX3XVNQ>@Xd(ND@ZlIJeDO{imVfwOQEr_fT+X`PX!`e$cpl(a%IYo+%xBwQ
z<oM1KXUj`2JV;@LwczOw3iDE6bMkfa4b^$#eaC!SmJ2g%KW0YVtt$m1X|?2J$wgvi
ze_O{s8&)W+j+u48Bnh*R+L+&2E)$vjL&l89*<rC%<giAc1mxP33N+-c5@OQY%;ZK6
z;8K1w{>MxL_UFa&_FDcSv^OU#%pd0hh3MWa>k4rwpXHnxB{6_h2U$zdg&V}n|Mia<
zio?;?tX;`Z7=aqm8R=uq3p$R+T~yn|!0o{M^EZQ-;feXXr^{UYQ2FWd_vwpbFwVNm
z%l8;7TrCd{_|8OvEOo~8LQ64_F!6e`kjf5I13L-}RE3~1Oeri^NenKUzw?Or%>h0w
z(F+(a0@Ga{44bK9Ah6`|vg|)DShzo;|CK5Zn~VBn&G(DJkFj!*gcxq%<FyI9xmgN+
zw{;yHeIW*Yw6ehB1H7Q`QIeT1Dg%6MHQLl2;?P2F(5jK+hsc^9*=KFCu;XTZvY5IA
z7*78kuofVJDc{4dEG6=g)_?kMwVNcIva*cdp)CZjPaS9yuTX?r)$iuKr=_4mfZ^rK
zXc4$ePyc&vP#Gk0nmDJHq+wuXS5*5ZafoB0$uMbBz+UbTcY(1iSQ!|3iZn<<zk8*1
zU=9_+XQv;kw#b3>qX{Ozerf2updjQfpaBb?bss%_r2rY_f-X$~vas^adnxUJCX73<
z7mNxhgR-%{ZI84(h_Bq#@?6(Px1oqsnSK?J^yK`mKCA%ev}<2KnWTZYEj8LwSq-$7
zxqf7nD?ydoCf*``9axq(NMv2pfMZtsmkScekoBc6^%Y4M7&TNQ&MVX4X3LHMzoQh;
zNf&cp{;CUE!|qknsXCCQ$|dBYONENkq<oh39QEJyf$v3xK7>>LZQehs2J%+V>ub;H
z!G^f=3}XUDz^ePRMTe#VN7(N0rYPwFZO^4MicF@U`>*W%lXeYgzc_JYX0I+(r~d2q
z2?8kkWm`?L*94PebK3HobigvrcH3aD87M@hZ+(!c2@WUI%k6AvV76$)tte>$NvZ}8
z9J!jnw`sHIoUkS+${w6r)3Ag}9gF67XEY(?lYhIUJ{4LLmSr5-tzcVWc<yCxO}J)K
zRKICR3Gy15H^0rWg3I}JXQ`(&z~w?h^wu-7;N#zSE^EvRChd2ynVPACccIx=E+0{_
z)|VcS{$&MTZ7S-*4pfk-pW5kgj|V*8&*f*nv4W!&RSN2Y6v*WNd&aEmA7QdTfUDBW
z3OIz^qgzUqp>XJ8xV0h@mk(Z5{W@$3l2wo89_TBAqkOcJ!^1^7=VEeXroAQ1OX|Fj
zu8;!;!`>%@G*+xHp_dBWvw)fqd9g@i8Q4C#Xf4{xh1tC`MIpb<fwRi(=H6lna1v_>
zKV!^`7NyPQ!%pV#ez~$(KwJd4_MhFhV9JlJ8K0*^ip`+vM5bLvs{rJ(jaS}D7r+N1
z@_Ma2W?<|anRoaT4>U%2uGRXJF#p4;TB8d9Q8u*eJ-av|eKN6}eTanS1yAPoj}fr%
zA%Dg|9y2t?u~6AI3!)rLrNYKhQ(*n}a7jw(H&Mmr-FBWs5O<^&1YTP(0l~j{wFcTV
z#Dm03`^v{ic%k8<O01v>sBjA?G6wVz&Qoy~DrF>mcf~63y0tM}4c$#Rmc6B$*{i0D
zT_E8giGNi-$_O&!6B#~NjnF+u9F53ZNEklKM*rPt2pp-G*|Y<H(Wkg$9Xe%5*nH&q
zhEZ8VaG1;9JlwKGPwjDm)eR(6{7}s{7-0aqOzt+N*Z$CNdiL;2F_W-8h;>bTQXi@u
zzEk!cV8pwID-KP3Bz)G*{AFgJJ}gm||Jc1^MmM8+)n)?{KHckH_PJdTR%T;95!0-=
z(e5eto^vF;VLD$B=Bx(~FaP;|ZGj!R!nQf;w2{ze?-SYVK3$lzthoKEp96mxbL)Mx
z6vW{6$HxSY>B8s88~u5u8&P;=-<{{Jf>>N6(9zAL3zwV^*6a`7gh4tITbhG~@U>0$
ziRBy}NC==mcG2d>a|$-ix`x8&u6Qai#aahGC$Vp?2;#w}z7^?jBoTbavATI|P8&v*
zjbctZ^Wy2pu^--T6vfsC(fhRf+Q4PS)%-$-4=pOXqVJ1|VdCKpQN7;UP+ckARwB-i
z1!|eQ?XASo)PoXZN7V**G2d3>jRM&8$jjRHsstWgVb@~%v+nE8bp)`k&++Yc$}rD}
zBnl7kd!~2NKrh+v<ONni{MF@BJ57;BK}AlUr<F7?%{58y;}=4n?Vky|U($H1JMA3X
z0~)9!Swd1>7zc9j?19%Z_)uE!qia45P9_#D{oXBtUVV{q`dPB5yhE%%W<5WCWMSJg
z9xsaAz8cF(7v!)xX0GnoTN)_12uiYch+(0B%(YM6^0@YQ+w#OW8r<?T^%YT)z*>{5
z%#6Df@a)C(;1Mxx&>uN_^70i)JU-sQcgIQ*hgUCe((%v++xbUp+VfJVyibUuR!0f_
zrPF${%eBF|sxG#!TpABrJ_?wUQAV}0!>+HzbznMru;=+18O+LX{*Q}|j7Ci($iA+h
zD@@@ISM_C)lU-6W{tFqY3!UXDGP<DTXmc=ZO%@}q(w^?UtAhUb7=5(px-iB$D{+G^
zhw+0-j5AIYjPVt`tL3i;q?Bi>PGRzxEnvZaW0->MmJx3}sruk@T+E!yKmj{k3x9a;
zSkJG0jVD%C^?_SIxubeQ0V4}fseegdukY0T9^SE@FRb?dCC4k`h1lTIFD0t@z$B=k
zufh=CdG<5T$|_;LpPrz0hAJ`z$8E6BHUb5;?A;}KN@%V4-twEhDn1I-Js%Qn46A9^
z{iS)7@$*oWMSL9vLu;H?A09OU!-3tWj1DQIYX9HyWNr%bIQ=<3Y-I`sKCU;8rYmEk
zY|6m{aw>R^$=p$npMWOu%ACR{$~Y-YSJ=COjAbYDzCUUtU}cL*VcvaZOg_?H^1en1
z6;3WD+|vgLNgVI!ja0_(C;sh>@=!$9Ygzi{>v~lxn`CjvSQ&+F|NXc=B99vb7RS9x
z0p96HwNU_5K&-#Jm5|}lvGAyUa>#e4B;K(X;Ltm^im=^EsPiWNqS!|nOuj>>)cpeZ
z8J_cfd$l4uB+IfVnM>o%s5};lRRCc|x2YdoirA|z6B>GL{r^AU{>V8GkgJ(Ez_&#K
zqqUi6epRB#^<R<g!vTO=t`EP<gXM9tFiK5LS{ONFP0#Fm4G?<GDQ@hR9G1uRF#e>I
zaEGU@;H@-(Ti&geIhC?F;WzN2D~BIHknU_@J`9j~F5J5KlME`n{<`K;%Zoa-jRO)C
zfWCG)zbota6Mw{e?h=&;pPBHt*L4!`XJOx!Exgj0k(zKz;qfLMI=4B}-I0I|4M%r6
zo{&TxFV&ii@Qp~{5%24<o{MF5_g<=Q6vvPq45KXXIj~VcPJDo33Rx0cp2nDop{0PQ
zO@HtP6wXyQ%1$wX>!;myVj4xz%8#ZbdyO3*)r!C6{%Z_Rj7Z&W0m3NQQ!LW7$cD=e
zmwz1gHipH+7Z}@hgmBN!ZpQ78+3*fal6zXS5j^km89O8(i1r3s1?!5~kU#%noUfq~
z6q_|!4RDh%J0<Xj-ZwUE@fU47S6~R2_O`}ZDhuGLns@yfyV-GPjrLP3Awy8j{C3^Y
zjUUzfUrGE}V#ghw^E_Iy24Hn$v#Zu4J`DZn{#yI(2GlEE@JnPc0Au#*FQ-NMkWhD0
zKU~g%j060e?uY1uTKy?WaxO2*=|248*1(BH{O|UZFYCd%%f}qgnDOE_{W8N=CN6~f
zV|%AV^k7i@c+#0w9<;UDJFT&A6P|rn{_rxR9-R6i(BRm>gRkWouBEqZMpcE9A5X98
zf=Az@OSDoRH2--5`m}g3cT0WeLvdYr^~TuHw}c1l(stqi7caVToc;TtL<c-vHfcK4
z@?iBww*7^RyeKm{5j$hA1J0K_7o2|Z;61hhn@2Nz_`%nq;_Y{Bu#-`(;Z)^C=`Xn}
z3BUPqrDw(=Fi{)!Tzx$#bCDO1NO!;3AWXvaE3t~MCfZ=roX_bt!iz$^gKS@|1<`$X
zM9#oZ8VIqCtY*6N;nAaKj`Uv@!r*O&qJj5maA#Y;Nb3|I3h4%Tc77E`^3?4UX-8>5
zy_90U;RZiCKE0xP-cA%1PfQ*8Ort^9rZ1U$tORf%Y2#DxdNDLlea$n(N&}9YbB9LO
z_j}c<CXwlY1cGB(&w)WLI69G^-TH%s85H+~AWkXl4qOcof3F2T&!bP94+-MwxB2Py
zho#YJTe0%oGc9nTed2VO6vF3YJqdl=W$<6+y-RInS}-=V)c>7L1V<+>-ur4Li;d0y
zvAuky1)F@W)qm@W;y_Borx6P|6w~iasOr>$H<r3rr7wtKz4mD8Z992n(a;x~{i6ku
zSL{6KpTyDCy|dGFofiRYe~ixS(10Q#`Dzp-(Zln~g8(l@EMRSP2)Iatopn|E`qffc
z_@ioiOP~@O+LUXI_N;TK+|<)QZ@upt(PPRH%J^4_XYi%1HoW~pzWMZ|44$4}tf`D9
z<7a~q&BqPeP_yGW?-w&!Jg{G?W;sj+MT4%*s(P+-L_{uyMNkf<`>YR;eJEHM%{y+&
ztqVN1JGXzHltZ6I=b9BARZRIdo#WrE3w3Q_Sr4n_@h)xPW!|VN{w6D~6yDK;mpvNy
z_r@t;+0N)8>Io`3E(Lv+yP^+z-Rxz4+Z9o{_h>~)0~O<+?0#++VgSAW>{dlMl<-LC
z0fG8?Dyqvo@p%+%2$dRNPWqH6p<c(Kl;0y%{Ho))#Cy>Qz8TaXwy;u0yFUS0`sq~6
zj=r1_c-a`bv_zdsQ5j|8$p`GYsQ7Q$<GV?W3AD8|k1<J;k;Q4C(a1~{pL0Gp2)<+r
z0s{A}mJX1ypk?Uzbpr}chx{rM^Cw_Bn@N!IA{lihS}tu{C1b<Kt{qQh0M;g|TaN^j
zG3>f@(qim72O`v&1j7LAd1``AI+9W4)c*5-=M~X9ysJ&D5kPON)FW>OGF}}z@xj$X
z0W0~{9vO3*!G7`K@xmL*D87ACu`NOlf5+q;&D1diC-=X@$$yoQMT^FwUL}L?9yVyR
zY%>G#TvvXt?Mi6+HR`w7Zz=rzG&Oz7#SGFGBrP~%6p@}(`9Lp69Dl2S*|*ct48$(f
zuKp@gz*CRY$2-r8An#yU^F3WNuq^#t+>Y}2@nyH!WV|3gj@iPN%WDQvz9Uxx>*eqW
zb#8g<4}L^;R#t^UfM=3-8bTUm(cVGukYpAw+6jFNktzVt_3FH4*&u^fV;+naYTQV#
ze4%xGog*syxS;-{G-eL!jz4&_5g&PMcdC;Bh#$Yv%~>FYtvWh>64M)Sj-%ss@Ld90
zb2>`<Yb5Y`1&@?U9vcp|?Pvv70@}E4{G47AL&Dd~*}IPgdtMm6rFfb`iUwyXhovZL
z4lIoxiebh{;i+SSbQ9Q98m7-vB#eVnpKqSdX2NF0MBxb0b)VqlMrF_v!VXc!HQ;8#
zUIo>wSwY4i&6M(m)J4Le=q`$B3nR|-I=y%5FoL3U^+V%X0w}v}BW1L6z0T5oZ;!SS
zEbn=c5fjdjrFR=VMnsq}O?tbkL7E}_4*&rF{|uLRIM#g>#_hfL-j6+=!DIU!tA$iA
zA=#BmvLlri6<L`rAq`5UG_B{9P@)o%QK6Js_R4tu|GmD~Ip;d(zVDB~Xt-itya?9j
zN50m-z=DgFlQ}z<P2sVc7iaWsVN_UuV)365E5>D{cJl<9LN9C27V@AFI_)pMP{qQA
zvEEmU6532)HLxY9(q0H(O72SIm}0{O&)(?;dlOg)KAbsxOc420EY2Kb<v^j(i1O4*
zV-P$%VH$W-0Gs<dFFmJlB8HaI_81w%P^<Am!74v;@c1fg9_7Myq)5TSayqn}&G!yW
z;>R7nU7SmO+$ffj6zof<!;}6$4du4{_>e8<B5wdMzK-bYZ>TncvmMzMkG1$wzHOF|
zvC4;bDM^B>8;zhlE{57_#*YQ9x5gHq3*hmtND*4MA^1APKdy@6$Lte_GdMN~;d=Li
zq1-S-m=&wq;@8QK8s{4;oot2C&bHvgK7K<8ullDnw@Uy`JgkpybQVGBPSv76_i5nK
zO3`1C6hyyV-+A6(Q50Y)^o!n3gR85h9;8V@EYW(=T#+Y+9Oniq{McwvP~8+(byx@;
zyIhW+=@&<p*ae343o1-<o_HfJAdIzPT-=2gk{C0?S1KDt1?GLW4_uxKBgtozI_;hm
zCVp#pIb%Wvw&-z(x^NLZs_NV9Y$SsUqHUB->{PhLN8zor6~)nGjV=S9W$}|;*!;&X
z3S?A|l~ieoVbIS_Wp~r$u_LD~$D@J*wabPxQY3M#v6nUw3{b?&<m8i0Hz@Gs>^)W+
zx&*#^U7y8Utb|Y9O9gbVP~df^%Z+p|Ni?~(TTtz;GQPALzM6H70{-mo71mdzF#7vc
zBvhzi^_SIL^D+tqh;JnV|4O6yb-QEx+EkI9)Ajd(778RRjookekj1E*OVir(YWS|r
z-~0?K71Eq<JQnMc!=sfK%8#h3qkP@w+`sFokh#n$V-=!+vKK$xx$&O{zOix-5GtTT
zPyI*9IbJ0^q_&iynV^Z4lXtfOKMj_KI`V~wlyLnouF(7CTG-MQystc+1}78eI4(3R
z<IiS)mdQ?S%of+|@zpT|A!(K6(q}5@A`&lNGogbWeK(?hel>)pZ|!XAH&t=#?_&Wo
zQ@VKf<hZA2u@NYEnhu+1s-dAnfboMbdPpgfIboSZ2kXP4>?Ls|JjW8#d>~gJ>wm6#
z(N7t}@nl_}8v*J#*=MmONW%aZ80o`IsU|?#|9o)NQUeo8zKx2WFu+f_Vjmsun8FwT
z=-c19G*Pm_^VZo*26%X{&C1<RW?;%XqH&p_i7PV6VMMS2X7%2$Dq^+(rInkWT3%XM
z>|ngTd{!SnsecHoC0l}b{`u3jJz5xHU@$&I(?`3e4MV@&t-v}$Xq?+j8*ho+G1phu
z!+nj)lBwYY^as18I)!PY#|h5T&K4b%G97zIG6(p%>D9Xr$F=c6P9wd}N*jOe(=f`v
z58!ZNykb5;8*B3GET2Sc;*&_Gz}G_7AU^ZF|A@RcO83e?!bEixw_ZB3!^avN<zF}L
zxu=Ees#>c;PpjcF^Q6G?MQga9wpBn<LJQgRr;lTV3W|CboYJkfhQQOuZb^A+B9Hxr
z2>E?VsLl5B_qrx);BuZx96zCf{@R5(0)2AW$x3SoZm@>rsJ5uiWOY2~_O-cLOB#QD
zxA^2$W)1J-O4rB6lkoS*-|Jhe#c}78iUq4gYcSn$m@_X}4Kqe}dz;)AL5hf8e1wZN
z)L!I%G3um>H1;JUqaH!bVj|rL60-(5cV5RDZ50eUb0D9l$&126T<cE01F)x^=l;#5
zjAItp#~che@#ALd=dVWqMjzIT*mNqQ^hIW^$Ahd`%JzhLzXm`{V}IJhBYAXX*$H>o
zGvlwt;rq$?1ZajwEmz)<#TSPP99d&m7$228bFxRRz~jZyCYEw(<QJg6st^6gNYGB-
zC1GL(q|ebk!hMohUHriO`L+c{d9!+0^=V7sD>QSGqDUaWff7ZZX`YdG_it9qM+=BZ
zdeY*0LktgaeJ^?KImZxf-+0na$pXd-4u)Eri=y$h`O1||bBx#R=8~_&&Eb`<eb9p$
zVH8<puf6zmj*%0!<MZ1$W-z}to9RzNs3!R;Ge2pbp(na??zV~<SZ`;$B5*?x^-X8=
zyq_*G%zSLkvQC)7c&?eb;SYYiazIg^tox6V9HSjl)^7r_uf7Hb`SM}U19l<1z9q)d
zeoZyujV7=$wR`lU6feqUr5tl@UST-;YCU~bZVXjr+Xr*Fc(COAQY|%#30+r>6`ECy
zq5AIA*Uoy}_+QM`0JF=?7#;nwj-Eq@AABDJTTgSLv)#Z{K^qHRv^-nHAwY+#!<xGS
zxw+7`XoZhcjSZbjz1r=Qj3EEhw#kf2PGoG7Vt;&&9j{xYk1+8XL3wQTK8=f<nANsW
z8OO?rpY1{?Hl!PZ)oZt}_IaGxxov&Qi)=1*?AH!Alre;>B~$zT-*V#dBkSapt$EPa
zfe7j?ra|>C>8JLxTxgtIf1#O^4<myfZVj`b0m<{$I9~=A!k|nGX_OyLTjC7FK2u?i
z`Ej-8T3?mBnxxvs1+nFZ)z8&%Ds1XoBzcZ<BQIUE!i!HB9~|#YKO{kgf1V_K{DB8Q
z)_*BEL=(Yt%Y}vw3<`jNi0p+9USt<LXYU*$iYYU3C!9kla75rtKn5E>?qxj`p7K%*
zUCjUWA0ts<;dH0gRW|`tk~Yxk){(%+moGH8_LISU%0Z&JMG$j;-1qzXKoXxGV<QjV
zCc`y9EHtkW!r-yA6isJoeER)_^8P3?-0vJac)mawsRj{7R9;#9t|M2h>PUvvxE1@N
zt0Kr_d;Ff&fE=ozNy3sY8Lo=?$GbleMNaWYluh3ha7y*r_a!MZ6hz159q$xFpWs=u
zLr0YGKZnN|&cbByqSr3>%1YqX->>^G=PKhZFR72Vl4Q_-)Ur({S`u~HmBVamRZ#o-
zt750M|AS|0Yx+l|(CG1nggeWs_?J6nkZl_ojt1+TaEz5frge{)PT7+%=U~ct<s>pZ
zXiB`bT}2M1EHWJ4TvSK=5%?>zoeTp(XVZ@SkVn?ankOaG8YoI}4*zCCft@BLT7^}L
zIQ#eF=^d_GSVXcDG%u$>(j#N?;%6na?d14x>WMZkuzXK+TJtr>SHbPR9m*(RT-&rw
zNEbVaO!xd*Ds*u^+IXvXt?md(SspJv6eu+K>;8%crfgFOUH+=#J_RQY&rE$Z?Nn|N
zzH11Z-;BI*WFn!nr%TV45(Avc8*aQ*W&|ADV#BHh)z|jlRd{(L8Lz1E#@4jZA*4>V
zT0vR^J(FJE`CUXtr_l!yB77#Wb7C*6rKBeADjyCn>LKGL(xsAWPg7vYU-_|>O$)t+
z2IZRmkdX^AulrV-0mr?@9D^<`q^N{7w0tIG?xm1bF*OTlKbmNEJVP5Vr;67_rINAc
z^TXP#6ie92_N7=zLkIK952aX3uGPcyZe8jhE9mF^>|~swgO`WhOyBkCWA)cBh8YR~
zamDXFbwB7}&ZjM+-4=S7TSBA0eFjjl`cLyfmkzp}+=h{xbg<@U)l8_BHPqa$_GW#g
zgNL_9cg9F-p#tUZLi2rV$Z0P=^wL!a6Ca9P>8n)7;^}3Q9)}I^(67&IXwb$1zK3eN
z?bT53S^%?%tqp7oIUTjgt&Nf0eno%ZDx+6sK$Y!o8}L8A(qE;bg?*tz-X6~t(Bt36
zoaezduwP|H_s-hf;#nqAuS?0G&~|Cg-QG5ks(ozy&R=!RH#+z+?Y%g<UY*@JZ)yXk
zj{?5&JtASN{H4D+qr%8>lt#{AwE+sh_alWpYUrNXSAP2+AO8H{OFL3y4OL0^6}v=K
z@nJL{=Wc#ZOxuvDI}~gUc`sMH3Tl+`%b|KrZax-NFC6gwwB}QXj-9$A5Tb<YSEI5t
zI{z{3AJg}=JONnEIJB3sRRP=PdXy&2XBZECwlqop2Vfnz{Ql#2S#)8+$I}wy4DIj{
zN@ouN56uf|>8a9qFr)i)dh8%$_BxHUM}&a7(W_llKS`_+xcShY^#@~z+;O3?4OSp*
z={Aw(DUSbWoMjIE-x!{61uMo+T0)(r*x2W|HQhPn_Oa!67en1S;_=ZM3lQHBef0P{
zVca9I*;D&$C!+u~R)|$|FnNi)^sR+(n^X(iS(`3KNePL5!_FKIhAAjNuja?1v4iVF
z?)NaVqr<v;Q_WzpQC5s+9WTyD4i3ee^fJ!G_!sbeGlk>i(6f1x+_;@=o)=Wm&oI1U
zM^>bo!kY`{^qloMv4U0iPg>XjgV^-p5C3@+=$aQh@G5~F?<|B!s$>r`d@~zuYX*(s
z;Ael)WN9|c56~^(TpVF&ySFckIv7Jr$yP3x0Tz6_<KLWM)?db(wq5HcAJW132D{|n
zpUhat`q?b+-UQ>k@X=&Tc{+$Xva5uPF=Oj($35q6PBFGyJ3s45HUf;c{78f{VS@J1
zY2Jr3jFvIe?=P6vd?z?JL3MbQA!OF#U;J^7(doQg`6|W`<TW#nED@`Ww#m(oW9*BJ
zmJf-;gVQt^Wa3qx?O9<2?K-)*>AxjLSLT?CN)!#GeH1#Xs#X|L6?cA5R<1CNtUE&X
zE>Pi72|2i`dxg;`8h`9tArsE;;*G30Nd>Qjx+*#2RmS+d$GgNiW-KsosFxL>LZ=by
zTvgL5W8zER*>FErT(X`H&R)y^S_#wgxlT+N-<tQ{v7ZeY%~MC{Gzuu*)0%7l$b|OF
zs-YamI8d&CPrFzX8D`B+@d|}9W40VSXPqGz){aH%Y~DwP4c-Op2|6q&D(*Y=laB`}
z?{CX;^OB+JuK4qMR#sHAR$|O^@!`OZBFiy<1BiSz-SlvQ6=~zO``_pa;6(dNx7#oD
zVNXtF_5lHQq%W&*X<7;4kU-D&b{T#674F@;%a#L^T>LJ5J0^?{FD8zV&+5SuVUycV
zmpSq8?yK{UJJx(@LZJG>sxB~{KjAAU&W*~c>RH21VkrOQTq|>eF7(kq<*`5I!PU#&
zy6@IF&P4FFVx^QWIC?o`#T@6u#KKdPH!n(J*x+~|wMqw=x)iykBL(o09>+9>N#h{v
z<bK649T*lDjPrC5!V>|Ruh)mlqOX{X-WgLJNc()bKsibnd+6FE!yI{JI<oKvC3PT~
z=>dE1a}n&1ji(q4D58r;npdKL4opp6l$DSY!w)AlpBfsh`QY&P)2zxm;2})R(z3+S
z>gm^U+DR3ZV3Kfoy-f$K7Iz#yr!R@6S27*^2URiO_rmp#+d9B4osg_OD24o9|Lq(P
zAmNFVjmfB{3x_N6bb4OOpt@p2z3rqrZu~sk5dK~lHv1ZO{i>A1r#GJ)yiC``ekJK$
z)_3$kod28m_-6$?a4hs?nz=Ua<xZWbsn&;agQ%|oXO)n}sQ9(}m=2otaBJFglHvLv
z#~tF2l#wzK%*B<jhvRoPq%*gW;m3$2!)8bY>E2Q2v(_8nvxjG|hSpGE=uLgIo3<L7
zg=ES72_~b@lm+MZ7AmA$wO#!jM#3Ac)c7qL6bwpP)JfzqguwJvU*k31H)ZwSw(|`I
zOOxPR<~}31;LLook4Y2V-qd*E1}aMF9oKajr31gA@OEVjElkWOmA2+n@jvT^@!&OH
zb8sEmWw%=!Z%}+)H0r46B|x#-vC#}Zy&m>%j?lrP9QOk@52<K>)93mhQ43K1ZQj@D
zt&56A&MdLsRBZpI)==7S3HQWb)H%!R;X%dw-tXR0Fy#*@=ob@^^(S<c<F+0yzHe{M
znj$0Xh+Ny;9RTzD4@*8z>!GyU&|11PKt17~)W-*{!9;1ja4fSvUaWc8YNM}*jOYfr
zn^HEwoMNaf*r<oCv0F}OZ_vinXH2o)MK+Losc_0~vmTNT)od@(*1(fV%;oyLws1k3
zpTvDZ7w6rd{+BqZio3GX?DuW9g*_p&k*2w8960r;dAM2$l?uLch6dXLlmFJ=UVGO#
zu}!SZ)mawrns0n|biXY;n|$DPntzS&Zgq$^oEJxiT)4aGMq7Br)a`jMT?4PjD#Ye*
z6~a1)z+p=PTWGtIcSw7QgvDGpvjz6A>9J4nmh&|>aQ)L2_kSL0$ise)qkeIPaVv6Y
zO2WqmeyIktd6cW*DR22Fg-<6KiQz9-!l$jFu=P5#uaGj%*J;dKU+QM~KFs3CJ!K85
zX`k0Zo&u)(^-jL6tRNCkHy79QS%c_Xo$TCivN*lFY4eSfy+re6^5?W{fahPY?>IFh
zg|B5db*Wkn6Ng7Gn|7|{kc@M=S?kRt(5%(bV14p9aVW~=$kcxXu(9UKpDq(cJNMu$
z@5V`D^1!K{TOn5PJ6_sk!9y5xyKg-N@o8e`W%GgV3zl%Lc-@PRU;zv~rM{0*I88k9
zZw!~Kw1Acq&aEBEJh+?h?aYR}Y2qnUO?uXdIkfZM3$<VKdya&&FBSBsiRJJ2eo<7-
zA?Kt*vDz>zmM;Vc_C!n(a^uqRm40UMB%wDqSDqPPGbM>?otq?5`&<=%+%g58@gu1r
zHp`6gK0SlO$0vwbB@L#nlO_<H`2Kul&pe~H^>)aIedC1tOO3v}wkF`KuFdyoX_}ET
z0vf+={UL-sYM$g>Hip(tQDejG2?lACOS;baQ9^n6q<i};9X>6v2&|)xF}yBc%5F{>
zCX$yttNGmNU_pP<F1qxap%ef6KI!=&k)X&$Tdg*Nj*p(Ykq3V;GPelY1PJ{mSXL)Q
zA~cO4DMmhQ&&W4M8Q(;V-Q@uyAY_}0VXh&x@;e0GSngmX$=HOHx&0(UeP}JBYj=IA
zQ>Tz?qJ^>av%r_W@dqJQTpBTWf(HA%C9_XEzGWl{$wx#T>?cTH#LguDqe4o~z%>&V
zWQhN&JR4fyM=Vv&uzfpBg<=YqLXgb^hT8K?T8ncZkzBO9r}`fS(lwM*r=7wWIaQL6
z<+%F@VwD^sc#;D2GAG%r{@X;=f`HH0@m@k;b-&?rZVDtfCuYNoX9PTZTJws%kN7Sj
zwl6=M3{Cx7kMgWv5?_+-iHdc7L`e+2^`06TCS^D4Zndi?9(r}~vy}G{J}2L6TnRRS
z^$*V6I<nG8e7zBoWW1@LSnpfS+m@>j|7LFbdz}41^k`j)_UHRSTxtw)`re=ix|>qp
zu`RX`k1n6;TVD7<WLOu9TwK<Lpz#+)b2@EALhqTBRnY;0hsU*`+e8;m3;wQ8@NXv$
z`19s}^ZZ44muq?_9@YWYQqO+PTVDuSnf1(<TYnQ4U8jGaVrWA`U8m^3l`i7f{z*Q@
zu_5BfXo+?yk2Zunm}>5h{7QTXDQyb%8X;_Ycjt`k&;mD(G55Eey~OqGTh!1)V?<nJ
zm78{%CVbg>(LW}rk2t!ECxO)bml!X7U*f`}2?OL1ddyHip(_0^&y_Yo+^zg!wqu_L
z2)hY83@7{~gbK5*gKta{>kVV>=r^mwb%ME4)&3Xp(`o#*uH`flHe*U^G*X9q_cmOw
z(itQMm4^FVnP-XE1VNH^5eZhWPTa{~yJwkUFIknDIpSSc#m;TwB+zpzpOrp6N+@i4
zIq4|BNX+{CesM}xgV#5@(??eR5Fef_>MI^!BBF*jd6T)+K>gt9^}0RdM5Ne=-Vvo$
zBC@VZUMf))c=zU<koTM<&d~cMW>}da<Z61AfuJg!&?x-L!!%8(4UZVQUSomyqaz(<
zmsMc!;}x3NhZ$lSxqo{Huz|sTU!mVRDo_?D+x@a>j`+z!4m;|`0a`JSYG}2}@cI2B
z3a%^=wQNjf=Z<qhvGdOe5kF-Je?jq%*}FtM*s!7Hb1x6r2Sx-da416*d1-!Cc$F|&
zG5<|H$q(%2?t0SYN^s!wmM{5C%)onnwKke21a`VU2PXF_L676|<g>N<)V#jy9c&T?
z7d43+Et*PTAGi0eNgx|6Wr`)Lrinsm=eq%$K}852xv;#?n*+{Y?QM@fE)Iedl~!h#
z6oKv+q&;?y3u>gf$gzczu&L2+0rx6`-X7NS$`Kx5)8D1;z90>rVt?LEdn!WX2A@!s
zWPW%V-C<;RUJho@2eh#sR)hl<0@>ZhLg06^gt}$z-RAZp#hnd`kT?wMRNo83^K$jk
zD|BV3zSqO}tDywxGXA~Y=S87BIl`N_Uj?M@RewuPRRTkgy;2hq;vm!H%FXgn4H{f~
z>nr4y!TX`iCCx-h7*de`S6`$KADDX7pY$lh&MJAE`DSU*djE0!%nMCex2^1AQ>zLj
zzu7nLWG4qp)GJ<tf3@LN6qSDupBnJ~s(fcZrU2cHiBD&3^kC&)q*q@$3A!Ckb@u#J
z0s)RWlJ^}0psrja?Kq$TjaxKLv-hh2A?fIFUVs87TMVbDceH>Ybl+QYs==;dy~C7s
zRA@;vZ*X_jg@Ry7RqkgbaO!q-EDxta|ECj0deH_j_&)K^P^1R1AD=s6aLy2(PSpi+
zo~J<A?zWltrdn_;=zFwJj1edvQ2kMLX^ji2KRgIr(uR~&F3}Y#9ZH$I*k*qk!9Ycm
zFaJYbDE^QYc>5L|486XF`|LIW*WuM8zc%WFIdfWr{VO`u$jkpU5-^92s^4yTJTm|@
zP5WGqXgXX9lxrMlvINeJbwMGKWRRP^vvRw_2q-4&6D#ci_R7yLN&F^*3zykpM&g=Y
zpXaMz&9ny314krx=u*J9v|l!Shzh!seViBSY~V>4>r9#z1vUqaBnS_Zp=ZL!xa6HJ
zm>ey9<SVnLyA%3@u_k(;WWMEq>J>W}x?5ak!63tv&3z;Rdrjbz;y*m3YY!c}sHrCm
z$na&KgcG}=DwG<B3)RHggTG`3`{CZT9D0oPy}~Iu@Eg#)Wt3?T-kJ4NF2Z^+%CGRF
z!BP~`<DR;VgxbTr(4j5gSaiVffzCOmCUz($Hv3SO?V)CYNh+&B6XeE?$0Dr92p^-4
z&a3zB;LG8Z$h%?cP|ADypz+opjMBK9R>i7zuvLn3@4K)X40$RjM0+eVbWVNusZF$n
zQzm{_Z#`88bpxNe)4Mp3rE`3J&7cju)jfSZy+Z*m&U^S-nDb#s`hAT{>uliL-`%9l
zNEu)r%fIs0LI?vb%bG9VwuZR0__u0XCE$Zd@X_4I!YCp`GKd$jhSGcHw1_AXV6lwx
zD7`I${9F2GCXWIfk{x||?j1kaKaN*kF%-oo8P}ee{3d`uf6vyib(~PNkK+|JS`<mX
zKVwV>tl+iLhPB|u3^Hl&hcn_uaoq{c51vz&&_C)fCcijG+~aO|;SwT>v2$C^i-auK
za!c(NuiK*p7f(f@$U0FRQEV*zZf*ggvoT77#qET@gjnrXF;O&dQ0HlnFo%K{ngWVV
z$f#`Fc8KGL2-e*Cb;jeF8N@0m+^?4FXHaEgyZK*;;Cr@QwjJzdFnF#tL;m6)MxjG<
z)Ws_z`02%=+2Nh0aFqh#sYBC@sdCea_|!Fy>zX@gUu^=T2Q5cOmlha-hdes&W{F^)
z(}r~oBonwctW(c-WrflDceP5sOa#eoapmLL#_;X_FGofYGtMOW-goU6L7OCZ!jIn=
zF8jWxn)tI~9EG0krz?t)8+I18ou@-{-VcfGrtFyU?3xBknkdS7bd4$s(?QQIrTXJM
z2M+l1JgMao!{^FPA_jRz5I43(s`54$GW9i$2o;E-rUknwE7=Gnmy4%T9C>i7+qGD5
z7RNX#@5^Ox4Z)k;^bKu{7mo~w6W639P_bkS#b>`EG<}bFBbLUG%We7RLYE})p7zP!
z4I+jR&#E7yVl0RoUewnuEK1_fcrnY0mo%9F@O@!CQV4}LTl)`*Nn_D*{YH_)G`RmV
zBdx+!7*+T3@0HmogR@!3F4vjR!0U_SnU91B((2p2*)GZAKaU*g9n3U{?2IrRTHBl4
zjPpO}Z1U(M9@TrGl?txHLjh@YG2E6JWPUbD0nf2)2`_s<h3AXo|0%B%M}n;|uTESE
z6Q!>_9m}DD(#?o(&ATKpeX@VI^^_7i;L%0aBr0@j`lqC2N@D%MlX8Wx%Gf3|MITJ0
z!gb1A2&q*HwT>~rIrd2f#kX{9EXt*Vt!~*FZZ#P!J6Uh8{z(<9FJ545eoTcB{mMJL
z&d6eh^FH&)E;Y2fWLPQKM+N^ws$;7Qav0<mQ(-qmLNSe9#{?B=Fz#HKN{ds#%KrvZ
z`u?e7Y}_l>un-zl7Vu6DaVepRBk}Q%fF??s2!m}a4UCT2?oaJh!UmuA<DLpyYy8_5
z7vf+D5~h#*-ak;rIuGqWH<C6I0ikb;z8HetU*F9_Nh;`eYN6gmK?g5tDC{*oVg!$#
zZg$(cM-^?d;@t#Ub@ASGoQ@QY4nn$oF^V>7$WgB=a<54juju-;=dRM>)t(cLxiTcI
z$~_-H5}}8AHDVop-;F^h>rKY~Q4(6%)e7&K(8D15`n}sfngA2`_>EuX>i9nZ00960
z43~F2)o&EX?Y;Nj>sr^n*IxHrBk8AUB`qrnrKmKO(Lh7dAS0w9$*fS{BSM9QL}rrA
zkQEs}|9)QQ^}NpWdY*GWpZ5)SPm4cR`sm+wg6+g7GY~0jKEofZi4AAwCk37Lv6bU|
z+EBYWjP5+x^ITL5^J656{dM%Q(<7F1=$8d_Ik$G+&C<d?<^4`hReI<`ZWCIZvjo3s
zAN`k7Bz$##PLnFFhf5k+YNAZm5PhxP*!>U*X-98u<I~s0E^3c+?~*leg_{0w$tK|h
zAxw*4*TEu(L+7P_(Lr(J@;%oQ5~@FNP3d|-!h<$nB9H6@sM0H5oX8+y{{2>+ACg)a
zQy=A=TneBib-@1PJ`zd{m*&{+)4+|N%YwL=7~pDtjW>^zgkREs_08W?Lr99#3^ZZD
zLqn-Ap)pz*F~=NswoV0)-RC@|wUYt*A*&9n{hAmndvdSHtP+a6b(!-#$bdI3{nlJ+
znwab>$usJyfP9U6`rfVSIvj%H<4ziwBJI<G3o=OGcDwM|ZU+2jn+iGZt&S_5@#pMY
zB+;(D=|B~o0U7gqS?>p^VV3#D<=@j{xV!N3g$Ypxm>0a1-RZB2xhL6EgndM?F~VrZ
zv>QMoG^WvKuL_Qn>KABgLb!Bkv(EigfP}Q&oDv?&D5q~NNj}7fN91=g_}u|m;q%Gu
zu1YB8?&Mi!#Ere*8JCQB0X)q-&IlDK;MOM&XS{B5;BV8F)27GiAe24P|MP<!uJ3*5
z`t>v$E+;hmiM3cmMTy9x{3RI_ypqMf{wE8vn<exq>RLm3?HF^9qcke!lCRhk%=oDA
z%&KU#6_iX#4GtGe;(K=m>2u3Wcr@(R%*HNDU=m>qJ4~0rOI}LdPB)qGMB1gAE+b3u
zjpku?9}z<@qvCkxqfB@$bid5C1Pj=n8JFExB8r>JC<{7wnD8*0pfuB@IcP}p6}8<L
z!LP0%ae32Bc;2buN9I;@sEEBRm60cm364!KD<hb(@6*Dr`cgB<W*-~#Y!||`kc+ow
zjabn8IK{DC(G1F3c&Fx-giy;W@T#~lD_W+@e@Tls1>0wVl^6L0@sHiAqBuVrGPsP}
zQkG4i&ws+3RX_mG?ru$;)?i0nXR)59BPMVzD|FzeEk8aP3un#P$$_QuNrybfjG->u
zTB$ad56{JWyL3P0L{}fz=q(3~p=$ZeU0+*198l;A(vsvxmEATsn#YV_`rESKGcG>d
z?D6<rdI}G|OH4Ce4K)JgB>Ll~1zwCg_11IToDYez<l@CuLwEr9w9Li%&>}sxfI7#I
zdzH4COk6jF2)*G$86JFik#(wIu2B%Z_8g%IXd1$J`<+qd8a`Zq-zq-#hY&vLv&~L;
zO9SDZNsc)l{21iBBg}nL825_LM!oi-L8;dBUGicA*ezT4oL^8Bxvo{xzVpyvq@$_8
za#jGF8cck~Kn$O7#4CHeq=Lb`#uwRTL1fd~plE$j9L4vZh`Js`1veW;G3PBItWjnx
zZvG*GCxeQOS+%H;QfIS&D?=EYwAyU^-K0>`VRspQlmhQZYz^v|L~ymsWoOBEY2<n3
zWjS0*0fz{m?#@;b9P-(u<9I<9e-=&Vyo#ehw*VIh_Zv}c|0Z*M*-jqAhIb`K9iV^^
zPejM(3NifDx9y&ff+FS{0jr@41qAig{7XKIWA);-IhV^y$RzkRsl|~3B#M%N`mzMp
zF|#MVxvq?D%rfE^ohZPvr1$PPT?!3od|UoxtDuldO2^e*6u4frYxvt8X>=ZXyp!*p
zDlQncWZIow>$53f18~dYlY56`pG>Hs@U_p5lFuoi=2LC$cwG)#zqK4|QqjQXezW^g
zGZbjq-<PMar-0-}t{+XFnz-d<_#5txR8WgyHqYr%M4Cn6DgE18xLT{xBVSI1Fw#`C
z_h%)n^xhL0(?r6a#1dsOput1+y-6YE%1BNA5*W^+gF8gu+~nw{!NnKXuD!}tK`XoF
zhdCO$m^jwYD7j$>&6)wTOX;d8u90tEXrzZ;Pwaa3dKp2i*SFnAlGJd})~eS-Qy(1~
zVjS<UH-=N@L*iAJ)RDa-a$nvbecVW0mtpQ;0!p$&l|08ZP~)jBr`J_7ZvV8sZDxll
zH2w*Q{k~ljSJOm)F{a39Cd;(*)HyTIWP3k!SXT=V$vzhF<2Jx2J<b9D6`6y9lYd3Z
zs1~Ytt#;Orl983K=+}#J3mD>j%%`3}!nSC)AG*iMSQF78z)iA(*EMFQ^OD+lrmR}=
za-lxfNWtdvUDi<FskOoHlr~=R-^yN_riaQmu5oln(ZS`@qRg=u+DPo{tMme0^h&yN
z>#ZX|%#mltI`6fyw1H3TK)N<sUzP33eG4F+6k1sEOdHK5SJHKBwXi?RTOyjYw$Bgk
zk9+H{jZ-_1L`A;Sz%LFB_XbWez_w@mr2Q-jnYyL&dmgLdLUj9z(@O?;9LlJC;X%SH
z+f%}gqg7B;Xu*rt!vKr=9N~sLTKMArj;diFB~03!q`y4QfCS^(M*A0<*p%HZm69ii
z6>{{*{vif5CwXnkF4Mpu6C!u8Neb^Sc&$`6F`zAOzM}h)I*Ky33?H)<$L2G$^s$Ew
zST_9O!+S{$F9kZw?GqNkJMRO1e}^z&+j;R5s=HN@Y80E)7%70Hi?VOL^cgT_{>|u(
zfeL<?8d7R_!i`d1N)6Th0OnyT6~k=G=;pw*tL_#%nhQR5+jAWt=x*i>nKz1<8ml=|
zZ^?p$=DkZ4Gl0Qbf9sMMdAwcwvFMKcDv>8*dA8#<9oTDraNOP}i=+7j@5R51#CTnO
z(l2&8m}u$*ZuOJK>*0%DM!)8X&o3{vqLVfBm4Dtwj*&!3j?|L}Yi0@S$+-f_L@OBY
zW0Ll$6Gy$CqRyDG8Ny%RGm_G63DM*}mSwUSl7b|de43|;sc*9P7PTy)=3sJnc!dc1
zIPHI@R6R{}=j>FL4!3~mibe0pU}5ALs&e+A%n&&R(-)RMn1jUwg?c9&Ax!;FuQFtx
zC6>lgPE9JCgKmAArE91FmPP6u+^9cCoVAH3E1WTdx@fJFZrOaeOJPpsMA|%YF?qr;
zy~`BXZpm!hFUE^5R?pibH!Ki&^ER6zz!XebCe?J28>`zB4|bFO5lU}YFTH(a0@6c8
za+cX#_<@uh>T0}9960aF6d-N_*~u9X*S+S%Y-@>`cY&(}BR(Yg@C9QC#|z(8xi~Qa
zjC_ZGFyXfc85~{zj6fjPw*KdN4wRO3|K6&`f)%@YjGr7eg8bC`dIOpqcuUne=Vv%8
z<^?sL{yuF8KJQz<R?oBJE4vRC<9%${Z4w+2cgzqnBBS`uPq5<{MN7bZHwPXx=;eH|
zOat*y>dpQ99B5Fzop#|5C$gRQ_!@qh2D#^)*;Kc1pvC*AOGD}0m|xx$Jtj>9>q5bz
z{8A1q=BIUj*w2gJo)uw6`BV_Dx_Q|bIMD!=g*rF$WAZDxnFvQJ#BjSxjE!-w&BN~7
z9NPu4PKYalWtajDPTOZ}D!A}V<hM4Hw?fEaQDwGzg#y$+<=Ms0xRJhkCzCoRj3s36
z%y*^~h}{QWU#oeL+8osKR7Vug^R+}24;w&y_eWanDlazZ*%SvxilOznH^P?p4d9~c
z0g2H){AfFVve)d-+8hNRkL=rH0Fwcc1+KpYa8uZ^i#?|$v8%P~j-`eHjFAjKJpE4y
zsa;IwB5KkYW+K0idxQ)I^;_S!n+oF<?IT_x!!mesnN3nOnG99!{04HCB6#hN`%~XW
zIm|ppT|K^=4C@$6iotH8DD|Q{P_$J6%c_uRj~N--a-Kv~UJ}FdZkg%SGfMb~)6L#o
zj|?}IzdT`W6~~tv?eDoWmGN1!oXbZ`GO#o}c40G<#5-Lta`?Wg;56fasCpn7rbLBB
z0$xgCW5q!0gsd8Vt7hN%q?`<k-Bjk=+hmZY&m-l3NF5c-ZK_zM4Zw>sBy^Wk4xQ5F
z2ZKIo;K++>Cq)7bAaPaaD)U!))XQ7XD{H2Ox}EBBTulbR-cZn2Lnz|$z(>2zKO&*-
z_wuV_n<>C;@OO~EPYI7unzx;i(!rW4{@?i{6qsoZRLmSvMtc{Ix?7RD7#8<)j4P80
zzdq(07B8!yqivhOP|q4ioGQ<AJWhj9bNixV2{k+x+@m6`M#iq5Iw_q%L--u2-MEXY
zjwiRXmY1s<Aj79o?)n)c@FoQY<*em!&$0hZlG6+@t+#faU7j(#S!e&?&0bAxwIBZ;
zuw;O%UuM(G=S_g|`ERy#fEG%-a#j5@rl8@U(9>Pp&7j@M^y{TPB(!Z<x?#GWf|{)o
zjGndq@Z-I>OQ4lD@(C9u9?+p+tJFOQ$90x)+2g>AKmWAx&a7xIbGHHNo&PwZ^41EH
z7RlwO5_RyrqglpjPXna+_$E0S(qS%r&Ucnc7uS8{{Cs*d87HMy(|FeWsJJz7e50i<
zPWapT$HnTQo^N*8i6MY^kCfC78{M^k$#KOtOa~K|N4`A_Wq?dbNk)!{F5bU?`nS0}
z2{%Y=v3oek07YT9(SlqZZ0@rE<#bmAy)>eUVrv_y{lKv}BdCKukHjmvR#fqz?St(7
zCv9M(_o-)&w%SNGkD6Q9tBlG_;(f$j8~Bw|U8ngU3ICk6cNKpskHTsK)~l&DaM*$J
z+fH8#|2=PWJk%wH#Wi;0$1mFen^=Fo>Wl`qF?D@E94v+zM<~2zdu%{Vzi=TfTOCaz
z{?u+eEQDDNv61B}HV{JU{Bg!X4VBK$N=6NE<DX5$(#@|7C<qdHCpDmgZiG=-;vg#q
zm|H2+&ND!IbM_Un^U5d$r{BibEEBU=6SQ8cFrd?HuFgnJ2}^&yGQ50eme{-JCwto)
z0D)(Bj^E6d$HfC&GciWLiJZ{|qHc|k9#KOA>=b0N>4FmT7Rv$R5r^{5XFYU?dpaCN
zFPFlQ<vfSI)g468miWb2{B)>b3H=-wA%R<ccYmH1{X{(UUQ8*pwg!#acg;`M?rD>F
z<xh{|TY~>=J^RWLD-isxpVfRp1Vi?2+ND`sN|X+ShF{LL1cnP&lh#KeB(Zol{?jcY
z(5>+D;E)A`X!1_Ytoe(4s9wjn%ol`P->qjpIu_7g8mrKo#fzmizdM=9l|=Jh4^^d5
za}X3A&<RoD#*U1D1A~9-h`iQY!Ln!u&%NK&`;Bs7#(|~Fmp6VUR@t|+FhtBiYAV=V
zZjlZ5rRMJ9ZE7R@f=Mq!0!*RdnX^=tBP*JgC&y&AbrG-k^*oDyX961?Zd||kg&7Sl
zy7yxGcY^u1pM$H032gGuT`peZvG_f=L);byh<F9X{PH+sPzf$uPG0l-F(TQ;IAn;h
zEiehVIco$4%k~K-{>wzR{jB!F>L{`Ar!=YD#|Yvdbu^#lSR(WiD_g}MP7v!uk6DVh
z8A2d+lTpCTBC+Li$8Ji|6tTM~v+$ymA<T$w)hy6nB;0+|54dGa6DO+Qdo9(_z$)Oh
zPg~Xk@m%Dj5+!w(c%~iNx7VHq?vve{<vkaOkdh$Rhfn7Tf#HnEoLVaI?KQp?=d?hK
zc?n&hH7^jYjpe>?*Yb9^ZTL`s*aC4+@K@+(;U%K;4mB?CD+MUA4@#0hFA!5=Owp5v
zRtULQd9r?f6xgmb5YVxAk$9deb*3bo38!tJ7mdsrfL-*;^I+wFM8U{l8a6QFLnhrm
zyLbb*3Z0^LB1=SxrVw?^j1@;3@KuDm0c_j9sy}PEOmOz8XImi~h8+Ik>={D_&=z@o
z=h6zHtt>$N_Tj)bg&!47wfexL*?K07lL@moi<chK;=;KE@9$Y6`k?c>fTL}I377rm
z{R4z~P-~jwhVDMSwfx^?m)y;ax3+Tx6DoXo`Ub{zywwGd?fSpS(=6EXnm0UQuK=10
z2zeWlbU}5cKzf5F8#;EWRiye0p{7~3%-~%e2w6Pwr1um%F1O>r<5$8so_{c*LVQhc
z{W(XP=0K@Ex{fVcqDYl3sCb^L4c>{<&RN&EFxYn_<<<)^45RV=8mDT5++g-qHWwb;
z@4dn}w_gH#m&j8cZ6ql1E@ES>aj{yBK)<rJ6dv~<%~FUX0eM$t;kmW`NUFa*SuJGn
z!j^vC;;n1-UX+qJcOkr)G}v~<OAeD1*Ab(-B#7O5S<>>ZFy?bQY?&xhz?(xKYELVY
zAg3|!jqtn(`hM8EZ}F}Y$}Y?lUR$f*;6yrGdqfOd+m2ogno`D|Z|wixyOW^us&)X2
zfCR>f2fT~itBNk$2IAcxkf4M1cD>~XN%Ro2e*Aq<4V~HaQYWRgq0ZIm^}|PNyjrBm
z862g7ijAYT9c9`OCE(J>_e2&01QQnc4Ye>xS2FDD6&+Z<TD~>4Q6BHvYdtx%#tq}5
z*9T<o>cW7#?U7y{B^(qiNiTk@gZV#g&k6s~gP%6korBiOc(r?DuvU^DZYwt>sT?7L
zVcwGuzs{>*{g_?Oj1L)o$6pnw<`{sSWzWCcpH)%HkLAx)f&sP%1ygLwDG*Tmz`96V
z9Ty`;WbXS=@I};<uTqOt*pu9?(Q!!w9rr!(omZe@<nQt+VIM=d<(*^|GN_4ORjV!E
z%BcABieqi(j1e3=(C>EFl7vF3wJgzkG`!wRJ2RGR0=Y~%W9CuXn0xF;mT>Tz{%41}
zM5GzigcmI67U-a|;VWa85E?2`HE-A+v;fN&>!so=bTQZG@oEj3h8pA2!zX;L*7)>Z
zq;ZNK2FaG~xR*o49QB)9Ox@_<Rqi`-&{iMyxt7w4TPV1`h%$5k?i$D4P$<0fR3Ci<
zH=f*BW`IULR>HwY889)tQ1JJYK3+Z*suo(UkDhlJ<B7&LV4BrFyyvk#K7ZeLnk8Qc
z_vrDz4sKiXslt_}Y!iL-IJcDjWt$e>rhHDLY_SFF(9H#3PU|66{!)rmvl>3G=qoyS
z-xhA3W}A{etBXSt+4GK@mC=k&9#sEe3xv1J<#o0?7%{`qqR}dg89}tc+x51vN%<(%
zq>Y4m&Q*rDPl)5~2h!g@J+*~XoTW!OY_u?P<!DrWpde20)dz5f*aFY75q`!E4YaXS
z6<xGp#}?*l6IMA}VBxIP(_8C9YX69hmD~am^e>PpveX77EEl7U`BX95N`ik@?<es<
zcVlCtoejKH*Z6k9Q5j##c~qU_Dxx3Oi<vp~kpXvH6^`9fRm2LRk3*?b1N04~{Xc9s
zF<>CgZGzq=i#&&KnT}qWqG$RkHgGlpsCPQ_85K)mLFhTMcI6!1XT6Sd|26<p4JG?a
zl{hx->u;IyUZndm%R0tBr^A)`r^)QxqNpG3$MNdT68(<6eY4?PYw)}GqU3gr5Qgo$
z<r*!uLT_13wExg)1sf`dWOjt|;hWiIg`wOPdQ-L1$?|2(weu$;HP>@tm%#P%>NQ<P
z#!p{#jqhYdpNAR8u;GcZEe(%tR_Nv}jaA7zEZ~wWY2=j}GY0e+%3Zm+Ophzch@VX~
z2fgr)4?pQk#8~?5(cH2n`lk=|TE%T<(56kLYxd3&*RxE%9&P+bhv4v=UW#VWRM)5{
zC-sLo%h9$oyl;`N5PLcx?w~1Lb?%b1c`-_)R+5hztSr#IMv7k5RGGkd!lRP+MgxSR
znZITOWr02>KYXxI!34G(i($%9=p_2j+LU~a{7b*f9jf;CtTAX`s(uun)kvJudoWQw
zH&5TZP`CQufD!0t=F@+!FCxUu*I`J)JpEez&85IiMzE<~IXv5<ke<Bz0MiB6HNA9v
zR^hcFyzvMm$uGXAx5ny@x7y9q6V)P8X$FQ+7JKU}Z$>M93Hsua_s-L8`;VNBct``K
zrhOV)?{(7e`@0*KKc1)O4Q!C_QK5lTnuGfd?(g)-OY$53DE+0kMG06LtmSjRhYEwC
z!UJ^Wmg$ARHGk>RTPB@6)v2HwNIz3BJxGr$FiLrFZ-MT<bbMv~QwmtcD?i|QJxup3
zH&bHITBJY!`i5mKUjsGxb)?OSF}mBQy2eAD|LFX^-D4W>4B%bOsh<wC3HlaMiT{!v
zmg%&kV<szZ2H++UY4vPzk}lKf+nP1JLhlr^?5%GnL!|EmpH$yJbZ=Q3BVlhQ(0|7~
zU&gbx55;?(<-4ZoAKR8nC4!mZzSgR2y{$g%Aj_(j`OVTzk3LH*y3GRa#_XX&(RwiD
zzM*WAeV#t@A8Q@U04t<2z1yArQ5SBwjh0zg{-rwv*XRYiu!D18lxLxgE->TcG|Ih2
z`q4Kr>+(i9fL>Q=fAp{p5a$xbj;1WpKOTv=-Tagb5|b3=ESj`|_0!`!eN`*;@obqW
zyA&RHqq4Ypzlk>R?lO_Hxxxfo*OFbT%lIJFIlcVULlU@@Pz`r9Gef!?i}XQ3LC}a*
z+b*h1g8!0hck&pr!qv3f-#QzG0G--DO=WArF=a^DQo;sCH=N3hjYJ?U$DfbgPz$sN
zGD>!Ma6qw~P>kzqQ3zLy?hF2;2~#u;fy=5~&|=ly`YS*jGUp{nFNJG@%dZ1Gha`DG
zS-tvoiIpVmKHy#d*FY2Oq<1!bHsu4QN+yXL7Sgc8HRe^pq6TbADz3_k6M(Gu6F=7N
zlLZrHk$oKP8W7<?=UBNc1ofH!s3%b#0*`k{m44KK9Ll92wozdq*1x)Ar=bKNbCu%%
zt<~oeLO#m}L_uHaZ=B8rWpFI;8%bf+grMl5*VDY>AnSfQ@&c18aB?Tq&TIfzK&Zdg
zgy_uqTTP!NU<3cccb_CRcxo8q!C9pV>~d#G@KOrmUw^ZgveSU4FYkGs_0|IC2kW<9
zt&stCokg8h9xWgRChFxHl7Lq!lYHWz92_dFIZFOTg3FDPU&25eZm@f1{dH3Wi(#{5
zwN@Pv84o%}Tk~t)bf(^=Q6)$So4LE^qaLt4`qO_%MGrXlb?9(fs{r@26&a3dGNcKN
zZ;0R|!}a$HHkZ>?A-MIYt9^$7xIR<gcH+JPB-<*8?BiF5zhWFGOsXlMePr_U@E8T&
zbHA5f7o`D*ta=X0CR1U%S&WLiKMgjhR<|GgrwLC!Zz^luLIYik`&Uhbj389vwA15*
zB*;@+W}<h~AU(*+`PP6jn1|%%Gg`Hwl*^I5j%Em_SauNSdrToIaV$$mMHhy@yl&s-
zXbAbLr&Ka#%prHrE_B(b2W*4G$9IYug2nYCse&?AkQw7*ud_iP>Nj6{yY4CtI0E%L
zimmCOo#8O;#!rUnIlG5<i>dIcYPF8*5x{eWhwiuI$!mSc`7U0j0Lfl<W@{<~rY;)$
z<r8EmeVr74OTqwh_|vP~j@p0~ebvV5J{der&k8>HqzgT}8*W}B*+Pti!|fepGUTrl
zWc5}cfkzxC{b8XkyuP~g=C43~Fq=7cg2GUT1CvsIf&zB%lp#+)yi*S@gs=Z`ZLc!u
zItbf8x3Gg9%_)AR+`7P^1|QpND+{(?-^S=$+X0(rdR*UGZBRMRapl=MF?g!4CALGx
z4kqU--EY)s!HK2JEx#ssA*H4>;Xs=$<b0Cho1E5wtN+ct|2n_~+S(DN)DyO_T`@eZ
za_t>smkdqFoWJQikMCR;%xw!JwR(wF%Bs+J&7y$!a5{0>*e1>NiVgV3{OTZ^D?{ev
z$?FbX!-SeafmSWI4HVo^;r{nV0m#E%JU3J3hzHlMJf%l5;EAw8f0}_TNcUeIW$Irh
zdd_L{y<Gy}Ih|O**CGjZACis`*O{@!{i|D4IDmpq;B4ztF&I(1Q2N-D6?eA7;>ZLY
zrivS0S62$do?yDmhtq5rWJam_F>ejMA!RIO8Uo<LN&e<5!;ZE>`yAhLTf^jsFCN!z
zxFLmogI$y>JAT_j4=7W&f`Mz=PFGsk!17hk3ziM+s1!RyzWbjgu=kzIlWS#y?W3>k
z#|79in0yC*pR@pKZv)$*lZ$lQEsSkTrEF+tbS#flWDXT%uG(h)8M<P7^O*KlHhdP?
z>;HV(41BFUZjWV-(G5@9oLoQ5iXOcmLWV8OAiOL|N^*ZcU9Q&mQRF37<f28E+Q*qf
zh2PSViwVv2g79$Bej`>S-BdBL`)&fy3lq7dO*83?1jFtZb1b;0ZCy^Nl?jYp``1#J
zR!1BcP$Dfgvfw$Dtf(XD#=yhDcF*Ks2l1bvyH8pr3-So4Z2Zk(4DVVknZzFU6Wiu`
zpVl?8p!O>no6JxnDDh1EHzzzq_--4YmRw;$*OJZbZa)oy(7#955*jBWc%NH;*uaXr
zEu%Mec^bk*_-9_xu1SJd`r@5|7pz#8w5v||D-G&cI8<B&rwNrK786_7vEeQMAyStc
z4QS8&)qQkki42?doJ(_T=r>w;gVad{57w8?!e;XXr^$s2y&u@|zehK9CVi-oWx=yO
z9u|lIod@HxRUEkF`I%RLiUJXXX>X4@{v*tPIMbNEbK=Nyme+731(Ji(eHM2t6P5Pw
zuZd}J<Np8v0RR6Cmv=bTZy3hODtkNjImS8mJdW-A*rI-sq)5X`sAy2imQ_>;Nhw8=
zN}^J7o@ADhS(K6}$ySu4pMT%$y`J~JuIIfz_kEXb+&-uysS8IEBl*6a_{aRgsW(E&
z;>PoxUb|!}b%2B0PRF;O1>=@VI1M#<@pg6fc$=#Z46of=`g6@1v@=?gD4XZQ8&#~e
zqchro*iEi8XT#_Hhd(Qh3t*|I!E&mNHsrI_3cowUj>&U*=Ni@t;r9aziL%$VAXw<>
z50`lkoT{t1o@y+NH9x|sE__;$()s+R#St#_Zwt_qP87iaj+C=337Wtw*mAC3cpb`q
z(73)~RuseNWC#7Vnoy)|!z<p!jb_(m4zG<AM;6YVUP_lV;NKhL&qu3xG5Gi2@0RK$
zOlKB;UvHrSB~u|A7|4&uy$*7Y{guS`^1Fh)=GCEQqj%^)gdjRlx{h`&NaKjsScz|q
zI^1rY3%FG#gol{lZ<a{N;jEgB$kR*ez}0esN?#O4a`@$&Lpo$MAfAz=v((`%=ahux
z4pHPDDhyo?q@eP1YD;m6I(*pk(DeO#F;rqiS6Vz#Kn_nv*VKD;$lUaSqc1`NcTja^
z?Bta2f(6h11-b_O7qnhd)=(0QESpxuvXv1Rtey0#G+@!_!_q!sY5aWe67!=x4fpX+
z&qaG{LfdHC!aT1m)^bI@?R~6*r!+5G30rBwP?KP>9aSD<X%F5^>`=p#-l2+{wrfKP
z*Nx?*yJWPzZIg6`Qv(~!9A;a$>VSa0_PxVzC@4C2W%u2?n&|g67uP80f{c^;C>O6H
zUTWOevgo9Z{G2NXj|%Dm&D#C%rS(d<I2IFLvQG!k3v4qgSJVe@?ppPNGs>71U!&M8
zt&6EPMox}9=x~9~p&0X;io0&FoFA^##gG3jJxi`O0HxTr+yVg=oOl|>GoYb|pN_{y
zFB=&`#GvR4S8G)izPIha%_sCQg!Q$LN}mz@u!sOQUo~_xJsxV6tA~GFIyoWL1fc30
zuh%|xq+fYDQFc-fx6=FKL^hbgeF&>5cho?~_S#Pe6!lP{<!qy=patYyh+gCWPXq6c
zKm5R(s*BM(x%w`&5RkTMuKP^1CMwOQm3iFP!5i)#^;}f|Tj!6d9<SHLJIaGQDonMJ
zrfQ7uLM_4M!;HkXmeupHO*Y%^X`sU!`SC?jD`;%7I(X}}CY}nFtEBg+qHI;<amR~R
zaO;Wkqf{PEB#GU2vu&W_JAZMt!+)%xq9!+?(Mba}Onn^B7ARs=o4^M)6Ki;0=yT<U
zi#nPWU!|l(lW~LbMTdAdYxv7@U?f&a4ZjZ!%%A!zg#~76p>$_!_>tvUNwle8_%59k
zdtWh(|FJvuzNR%S|0#<oaHHYcmFYjdE`s=dCi3LLIV<pLqD2)nDdVj5w)ijixlq2a
z?mxJ01%ea$?&BIt=#{Y{fsKs?2Zkg}zt~uTRVr_$Z@L1emKAN~Qk`eE4taCey|V=8
z!Gy@cc``1GY&rMY{S))1*3P+tAWOI(Ycf&aB!@A}Mz*J_vzd7t&IDXt1o(9!=i2Tj
zX$;7zXOUBSOT6*a`pbv|P*(jFa%_r(E4v3HGZRM%hmrd_MtlICrM8lJR^qt6c&c?;
zbAr%KDD(NKPe6iyPnvm?2zIAC#2&StA-s5aat?2{fbq&gL$N3!9Q?_5b#L4(@g!HF
z!6@7u^7!4tnC<*X+7x4OhjWhDc(CWelR`7tdt+}|5IYZgcV0*nUY;d*NkSEBy{6C?
zFv(kZkqh%^Uv%S=W{Dky@6kwpQ&@I>lbMmijtT4fAH+4y5JsLmU&j7t0xxAhf6i!U
z#nu#G`=__22_E%Y@!2e6=&w8>@vVM^`IhB+_npK^BIt2tU&JRP5PxBmpB1^p<SHj;
zH`{zC?tCX1w(1+fT_Q5u?8ySN^yS`t5C4o2d1JY)S*H!b^t8MV<G?)g)ic{_xo2O9
zxNI~{8Dl^zqb|oaZH74|l69PUVT5Q&&pzhs$betwx(}sE6U@D-6BXX+!vvRZwe(oI
z0qp-`F-kDMGV5cM-<FpR5zfJJD(|HY;L6+kJQ~ZNnU3>bo%LS_3Bz6@f&Vle_UY)c
z->ey8o=UAEmAo7vdIe(FZ(h*{A8-4&4nyylIvnqnSl7HIdOCgxM<3OP45?(%P=Pnh
zHkX%&nosu<K0(I+h0N$dvm&)_-9#7j(QnWBT;Fa&ta4ug`$0V@@Go<Xu4!j--Z+w{
zmE1{0oKV{?JF5$u4#XRcUTbC!gjuC!eC{BaC;Qi33DX6mug5nodcR<v+?bIvYt%;k
zq}-MX{-*=zd~CYq*)yhI<pqN>&R2v@VAh!fr*&X=v-V>9Y!&m1;*g)Gbqhfoj44i&
z(t-Eg-ZPH7?lSk?*ZO7hrHQyba;@BNm6J#K&M4f=E@aNh)#<u^Z6shkSM+?m7Wi>T
zF6%~|W3mp$<zy0#L~ZCV)*}xzL1%qgR2a`r;^cXO!Qrt6f>p@t^p`OW*cTYfqPi`E
zu>BD}O#RS61l<ZzsZ-Q|4kz~|m0MQ{N-V0`OE(f%+43%a@==H2$dYSeSvQHLpySWf
zFE<h)Ts&RmTWVmVQ+M;C*j*yJ^fK#{Jx#=Gua+-6=2c<C?q{xFXcfdG+QGKhdz%TR
zYelR_tW?3cQ{d$`-74b!ujT7D_gaXILN9mQY!$estE>=j@R%5@4gCDx=oRr|%O3Lm
zDH;^By^OtX`IM-&;fvhN*+$rG9L~&jqQQA;UK827me8noDtDIZAmqhYMh45MpgW{c
z>EDS&rA(EmS<P!gRcyi1SC|U1p1XWAlIn;92R8;*2zL?knAj_DQW>yaQp9R|J<${7
z@8+4=O~lEjy=?fV1S~71Tsj*XiKVMO@6s)M327Gl&B2~ZP(RX8Vd~#ZWJb!qqEp@w
zT2C+D8Go$^!#vRead%!4al@G|?Tmh6_TQwjs-q(4a~Ri$tF#d;)Yi<{q<6#~wrz1j
zO$x9hd`w|wu!B$xG4Y{Eejwyn=iSon72s3FrFLduCvo2+zCiQ%5D~?8e&qBk3M`}-
z|A^=5CQh6=`^AoLm^kc6{k*uD0;kKW8t(P>5ZXSO|9IOz6A~PEtDg^&fwd@Or)Ya0
zA@^s0y4JH%!rP_1W*~?R<qn%o{{4PSv;_|S9vl8jWKF7!2QSG((ksDb$6fD;j+gz9
zC2Yotnzf|)3ySiP|Lf|*Q1%Z*G>i5L+piPE@r_%bD!9tQw;q8o=VL=e;o;40%<gHT
zk$fneH$@i8_O|0!v0-9vTQF~L@+|R#^K0#v1{vVnl0O&t@iWnPE}WImZJv;#PU~^4
zl>u+>{jT->qeNdf-;r$BpF~09l@wDKX?X6lemIbOj9?thj}}Q?Box;?7A0Mif)0+f
zqld!BiP)o`bX!(_6Z-KYpL!N0A&uk5;mfp1qDm{}cKPFFf~g^w!E}>^$WJ3=BcU0B
zLDR@dVg4i5tF0)(Qxar6sWVl4JWIS?D?GW7#tJ?CRj)s&kl_4O!U8>Qo>-n;r}!X<
z4XCqQY@7-tV0cgB%L^BN5)v&QKZqy}u#qvz@ROH-x0eade|?KYUD1xaA+NaLic14+
zeW^GU>cn<5yDt&mH%Bhq+s+Nf9M#qymf~<>DgWj#xxd7<AoFQX9X{ZG`sC2oFJj<!
zHiuh9iUlh2CMQMI1);ciV|l<OF(_pu9MXKv3aopZI~e0aps_Ok$<jv*ZqfdUTRdcg
zYRUYf$$k+~WsZk2EX6=;>S^f7P7W|QNRM0lPYhn~^XBw67K1a3tmJ6gS}^N~OUv6y
z0>6fU`c7vt@cXaxwR0^ulu(>MkN%YcVU-8z57We8nxSA5l+OpdX>IPN!?JMf(-e2X
zq8Kz*UruxL6@>jGJ)OSEWKbA7USFLf4$i4Jp2{c-!_>q-N%hr#9H{ZuRPMM0v{)Z{
ztS>4G3FB6bU~MHRJ=$U{b&CWZ-@{c*4aC6_1b2j6QQ?^9lxmcr6dc=fUF`a45`^7(
z)_Oih1(e!<27hG8K-2^F>`*CbIGts<;pCVayb}FQs;iNML6zHke|(mO<mb8?Z^AU;
zP;Z^&%Na5h-x@qrc7zPMHJc9I7uJF82PBg<hZMju>a~=Jm;$sH=nD%T)rCWA9`F5O
zq71EeQrBN~Dnh2o;WL`=^q_3w>3oHN3W&xm{vN-n497af+6GPN(Di&%_EL~KoHQxB
zbT)$qYh0FVUnCm9knCt+frmEqEvo2+rmBL6&}lKPy9|(Nx4Tp^qYIXu^97No)FHj7
zz0vEkA&fp3ToR6^!x|1jmrJX<RVt<>11*d|$a(g^cP@tDsJ_4T-bQUW9rTSh6=4La
za`h!Co+h9cds&t9qz>@1e<?k)df)m%Yf@*TIcS_1rrp)ig;AChd@>P+kbk7q-p3Q5
zIM-Y6>=Rv}wc85+r7~bMS@x>Mh$Z~i>u_{f&CB+))Rpe_bfBzjaaD4%2ARro?Ep1B
z__f*12<KPlv0fCVMA?8xy`k7%c0CZ)D*e|Qrv+APxVWz#u!Wo^)4(m4b)jbHmaX4C
z6|g=+(nt`ogRD@FbpBtfK4#ID{PCFroT{qVcMi0Jzn2EcKUe)tr+K9z_opP-XW6t1
zh1<cI7Zq*)$!S5pbm>u_Y<_t8+2JhB+75O(dys$Ds>9Z^9L8nti-cX)Et`$+Y~k8z
zYuRU7s<2Eb+h2Y8iCM}rzI1Y<Ev(z^BT*kuh4QMreFw@|k=VESuiQ-=Xj%*k{<gZ`
zEkWOY->2~6`SH%?ws~vFZ>xJgs!9Q4w!t2KUSZTOmYAwGvxY9GS86@FvXHiBMbYu6
zC}PCgzvq*!pgNuFv5N}{<U#~CXf2E5En0Tv^VOVby6Gv|i75iTKqZ@PB4Lvf_3L{h
zONeWUVZX&G0HKY(y-p-aoMmyRh+PACLsu$PvE+gT&l<CRCnT|$QS+uq6ktbz)U`NG
z7MLWg8qa4-qWH;s;+|9jDwpJZB+twf?0s}0fjCKQi<zN*Hnf16YCjPf&LLuZauzq)
zMH09D<Ij`XVGcTT^qm)<)G?E;NBcb!mc#?T<=$H7&0wy3XS0aOS7wP<qP=Gq35S~E
zce<_S$wv`qIQD*<XCCPOQl6VjLiND%xFxD7*loATTX6rwJhk_BXkQQs58WwIeU@MX
zC?~e#Ju54IT48imI+L)1rR?R=Nn=<bMLTR@W5>vB@7CjvBz%40xE6i4G0Y{TRHW2!
z;(*MH4sTBq%9sS1o4z-Ku!yt{R^xTp2%$Ek2_)3m{jvGaZX?J_+P~F0o(GNZLgP>q
z2?I3>)di*uVPE$y{y#VPke;Ma+MpzfzlL8Edhv#!m}?@mSS)}cm$@eIUy{W960vb0
z8^ZlTH`APEL0n0E0*M+@$a2)jMX!MYj8D%x{Hla7fiju?qfZJQ{2EZ~5Ciz-?|qQI
zEQ~qhH&&AKq|x?{3q_E|0Ea8<Ei>ap@Ec>N)7>x`Z1kniZXYoKVMgaU=KxWpm{0TF
z4U|QP!iXI6QUhpL-oKROEQZ4$n-1SODu?wy*=EI#8vrAOp-eFs$HT9pnv1jL@vUb5
z%mx<&5DHsbtk#ym=J{+99e*;Wd$6l{=o`Q}#tTx3DhY4?PVBnJO~JD|>t&zI8$ge1
zC(mznNqqOSzj*2q1tsTbVgeEd@EAfqhZstsiMHC^{$K@kX?_&&R&rJ6FX`x{4bs@e
z`Q{2$MG<H9N~S7R3_#j~CBQdG1`9a0ayyMF;+7G<5K|iiV2$Pr?$4CP%(q+LAHJ=G
z#A~hZe}WAl!|s93js`h=a?0jW<UwV$ex4tB?79Ka?GB0jTam}vw(?(7x>Wo`5*?5k
zTb-|&I96Fe#x2u5o<F9k=w!@pLpNo>1^I{T_gPW!mZJ2wJ;gL^O)ysbkk0^rstxJn
z7Yh2;-8x$3qJo=r1dCYt48hHk-TrK<0t&>`yrE60VCt3r&9K@#Tzg{3T$+j~6!BL6
zNw_L*ypgxzo466A#Fsnqwkl$3L{*IIxGHM7bLdXqH3C=bz4_<-l<<14t;>j|8jA1=
z#rL=v!|xAQ819Qo=ro#GdOku8E2~~KSN}DJwTl&dS)!HkYjJPh*K=yv@Ui2IL%9h!
z1>W$ITvEn|Sg=_jP7SB)H6$ARO`$Y0HbdK=iu=xIByem{!!#X}XmL3+2;e^C^%bc&
z*Y(c0by5|F%IL2@c9{Wv<YSrWS{izF542_MRmBFwu#`)&=Ag{_D!#{<hC6@kdEfp-
z1tUl6PBN($;A1}!Q?!MKJstBMmg6+s_dVTwq}BqykGG^my3^3?;@9A@-&A}{W%Zb}
zBfx7RojG7h!_Z@#>w2b?ap(2oR;?NW?(L3HZWp29(}XbQbh{G1k$xj+#}ANyQ(|PL
zjf&wVdx9TcRm1~B0b2I@01u`*9~XsE(I+KFb|_E*!}lt9JlX&-$z$^&hJ}jX`dKsh
z=@hg)^RO<}1K{tHK+yA(%4qXa&>&_F8NG{^6}Y?rocD)S&W|bKp&0J8f=9A=<?Sz>
z>Ma2L4s(}A?3M7m{H}K?Dbn~r;m@$Y6+pwDq*tf%74fG0n9ade?$x((iL=lE%-{ZP
z==!FBmkt*g@s>!S`;|VSvuprsP3pWK>nR|m<bXY6MGQaW^={r$L4aiTz^8x5Dd@Ri
z+qWi36no0MpSHUYFnVWjqeUGVuM_h;EY>18_V5gU(N_zQzY!GD%tuB||4X{ZbcJ#J
zOq6@;Q46rvbcxvdOb#tIgbE)!3!&DUb8UPp=1{QVT)y*uS?s>I+_LqGASUR%l35dH
z4&~i;H9=Z3__12{zk?EjSjWC;t00>>JR+Y^U}KX;&)}lL>QDi^U_rTZFwP7(q&sWJ
zCnQm)@t#oY3O{OzynL$0Y6k1u?u?z7Bw<*yKjnD`KXS~eyjF@ag(ltf(d!%}be1G(
z=6&GDW=dwR9E&M%2?d+X8%SW|X+}=BvH+ewq1^s7)&%yHhOyj<5=Xwlnc&E)0=QUK
z@0!eE0^Hv|74?2x<yBDge@e=N$k?jN_V=_gEc=PygY9An=3ONXX9Y2J^e#(+m@&ky
zJFR<pTof%o$`}{$3n5oXLHfx;BQW+!_!yHZiZu&80w=BtVNaokuZ6x5yiF6z40RR7
z_MUZ?K{mo@ev*+X(`*PURdMc<s-jr&DwgBLZ(;0AI?fZY#}N7gB$h+OMKS*1+9iGz
zL3jK6FGK$^U_AY%Wh6-yM+%Fc^X7;m@0R_|X9^h*k#^v5p0+6dIq#!a7$t@#3SOlG
zP7Fvkz2mdPQxv7=Ib?dm#4(Xg+-d7?1E{!SX1M2)D4s7{bE76&0>7pRO1-#a0M(R#
z(OafP(J`%u5_^$^3D+jwF~9)0L_b+iZWY6ETNMxcdPxi^TC4S3%>ZQP&8|&!is8MT
zyQfrHq>&;ye#z<w9mJ=7b)<KT;~}Z)*XkQ(@Q{<OPHO`lFj?2nmQ?~peny{ByDf{O
zx{o4f3h0niU@*?8l0Ykm4U7&+dAzankio`yI-I>JGf{bhgq!ad&01_AqnUibtJDxW
z2>tYQ4BsM&3aQF%6cGvvDjtdP44{MGh1lz4LJD~*D)xRFqM(iDmz&3f=s;?iG&C@k
zM)yS{*Rz!h7&XDOcq4)if9>xV3p&W)5Kn6L+!;lT?fP}|N;VyY?>A=;_{!qq<>LIv
z043zgUdK>EI<QYuk3^i4L-MK4n^v~USY`O%$+1N`?2KVKmD(bYYzy1BPmrk?GwRQI
z+QI-*igR`=Cy_CJy=CgdUsUXzRtihYG5}7lJXS|73N~kc%MNOx;fkKsirta{7?+1>
ze|bwm^5WS-|FbICB;_dIcaQ<^yy%?=PAOp3)sT#QJ5^K;926A#$$*|yZ!SydDI)*9
z9bR`<Ip6+JFa2nWAq;K_KHBwO5m`>Ii2n;y!{sl^Vv-t0&~KXX(Is99`*wF-{rp7@
zbziisx%AEmYJqp3fTA+qpSLEp7^q`2WBYok>{b3t%13RjR>s3xPE&_>spFT6=kDrk
zHvyll8p;-HD!M0LmWSQyxaf8*<|oAzHoZHZs$NS)8^54HztuVNHkE$sCQU)TwNy`l
zM#H58{ewn>YM4{^&c5uS8GPHn-plI*4HJ{Euk&+PLq|R(zrhG|5RvhVu6<0y$%Hp3
zRHTZV{Ye`W3@m{9wj#=UkcQsVLZqL~D)`7)%>3%G1@t!%-mzb4sI4NZxW0*ohG!-v
zBBBULG+oPD(nrHh&Go%Eil`V2Mf&4w0J4$~96w)5!=LTZ6V-vr*ciFnmD?1cIybkq
z*@uSZ+>thaWtC9;k4bmA|7u?S{ih|7jfMt{hu<ul6mU7_)>@BK0CxY#!9}O3xMAbA
z=gtQx7<hJe@_RNw2&=%8)D>kk|1;B`C`CrxuXOF+B>>%pO+0+Nl<}(7XJ?KgSxoW`
z>$S-Om>Uumb}d)J6rpglc0*}Y?D(^EE*79S&D65ury|O>Is6P-AmPE=O0+UxfPu1u
z?CGm}kG~b}c<QS-KDqPzNt*@0-j59*j92}s#lExeuz(n*?D0KpBDC6rygn^{ETCYC
z*#4CxAtJaZcu_s@2?0c?G~50@GK#EEouB1i<<e2l))9LGG(S4`#R`(qdH<PXJ%fVS
z8*)pTvid-~rm#ToRXOC(I#yfTCV=gV9=(biEWo?PO3Xk<7PEx~!?^7DF<sg1Wo4r|
zh`%<K^ypgUykuglrz{^%x_^GN)508L3ij;iOp(ICHLPp`8+g%Q%QEXwr5W^RK00=K
zn<NHJ=_Gl)<Uuaa?>;<gX2AblQGJ3S;n<OW|NG~7@P@wzQ|ziK+?D>j_B}|ToAbKx
zzd1a3>(h%LZW5*-ljt));3<ygD9GN@&x5CSBz!t>&IE#$xV?nWuX4WloXs|8Ui47z
zvL53xfs$qED*qu-ToWtyvTA`BMV{Ioqo*3fJALn%r1hd0t$y!YWiuagJ5;As@fgG6
zPSTsduSBqqSb8u~$B$lW0h!Ow8Nu+(V~X)!5qvt&cKyz<0Ok&Sh$)sdf~g&X+<8(W
z*g#G0|D7R-*ABk7xKnHhzH4M}ofs9y%~?I9+qOc;o_g%CjFBO5jg4@cHVLC^sRilJ
z+SR>$RPQlqXTXCa6>H6z!f3I<N9N&sVJyD$Ld#_z15E7<C+Av)QRl+9R|BhlaYyc~
zVc9wcoR}UyIyfzi-X0zm=c+_eoa3?jm3s!z6e}~3P7^_v5TjhVr(%dktgbPh2B521
zmVf)O2+CznTo~#U$I@nlfJ#0Ccz23x>v*>avNvTtGGCHFZhFY~qDDG6d~c5yb`V7c
znInJl>5};1?2jF<66w$~`p0gmLlisqL<en;mBOzxu^u=7ql205PM`Q7F?=VL!CN&X
zjo!DjGF#;6uw&c4iEJrx)Q|t*`Es)?rr=my$D%&ir})c~2gT87##Q{}8#%lo64m27
zpbtmPcP?-|kifw4_er{jWGv|ObhmEOhvT~_Hx%<p=y%%q_YNKk9@SaxJ4}6G>&U%G
z<VvEhvs}pauN2hx8fWErp${!~EB356rI4@dS{mh*0;(KV7SHY0hXg*2;L#>&OcZ-`
z?rP;~4irynX`9st&kt@3I!iKW_auKMxljrB57zr7uj;?zI#V)iCWpH>ZHw*AP{x~X
z#yy1|bl5YtRCYaG9wUGL803tn;%@cti(iWAQ0DLY;$0XSADp^jAQeKx+#$1ER(1n$
zz0b<EpiaTMI0>2fttzN<*{}Zaq1E2BkfdrmO2I2t?Yq_WRPp@7*jKT01`y^b@mlGc
z0+t)s+=^IHMU@+I+T?`Q9$}Wlcil@7`%6s410JsOKXIq$N2(#v>W6)!NJ?lQr}-;q
zi#lHJRq}k(ZwLXfaFo`egq!d5swQ=-<IG_Pw+okyKr=Mbr721oFAYqm)N5+sZ0+N}
zyn)7`M+~?)DN*sylQp*tcWPimj!Nb^D-+0w?-dQNp`yeICNp%m2Fll0@pi5Hg3v{K
zT(+iRc#=yio2~}>)joYa&1MEY>2dOx9??*f^<i>Xn>seU`V^l&Vg{y<6$3$31q)ox
z*z97cqfcJ9J`2+vBy!B3X}hbS^!;DF%Ry>b?#K}wo^An`6Fe?cqg0S@{JrmRs4CLa
zhCf>UM*!VEYFBiU3VMc!Z>DZk!MR-dE4)htTre9j*?33=+p0Gu#<SC~=7Qix9(#bw
zl{=CLEmW}NJI7Y8tID|cO&0H?c!12a$(%V8G~5Vl<qA}k@V(ZI?%E0ff5Ag^+b9}t
zSI;ZVzNvuHRX4(-IssM+RA(Okq#`8yvWrqFnBce4Dme_`=0Cyz%8iQrN$d8RZ<ohn
z-Z>NJ5rF>z009606qk2A)!!e-t*oqj?aj3}_u4M^eT^s-CA283z9B1;wlru^p=d}%
z5~-}DK5wOrl+}=x>_pkh{Q3QR9_Mi$XT0C%`FsT{`$lzVs^F*Xx^vNIWU$xqn(<;A
zfN-<Md{&n-=5#uydvr-+Y2<BzbyWb-EdR~S^C@FS%dFGU{o+`~GNyCk4!{|?lByb-
z5-Q4k=e<W0#W%(qzS@NY6y^q9ZQ4pfh9K9qD!MSf895(3X9*zX`Z4Tolp<=jo@&~4
zj)b(c#o1!)0Cx8r9KzBR&|RhP;xJhV%i3lSbDU*>fU~-md8|C{lo4O+SHX{F8yqi<
zFIfSrMP#d1k1Xzx8ZRn(yA}oC$W2m0tw6PD-<cX08Eg$ujoQWFMOFXxZ%%Yu!sXH0
zu#I1((D>%|Ze2MZG@%!2-Q8dbg`y4Fj3`O;j*Jz!<;jhr->ax?C3N_^aI5M+JqetB
zeMrG(fD1DY&&FFR(g7CFwym&>;|Je=hKv_nsLb(@UUJC-bPiP%J)Rat4YmVazAaqH
z;j0xkxnK@wCKXJ}Sw+!Gz{|u(i5u-NJb8RR$Q&dqo+z$pir~WHE&a}1ZtP3k>h=4(
z8PqSRaH)g}V~<F>{Qm7cxJB-|bDX;w7}@=~cfE;>-TmI~sm8qc)@hr|%_dWLzT0Xf
z(~*pp{Z19lrfX3-;^Ob<jix|f6EbtShlCy@j~jfw_%Kbu-g!rp3H-Y72AwXG@P3f!
zvd4XXoOiMcI_ho$>nh&<uy-Tj@`K3x|M3Z8G}-@~$PZ(XjJofcX+T2VvWho{)(hbU
zo?HKRg&M=GzxKo1DkSt)?<ag^NSLv9oHd!l7`n-oA<23q<ebajptwT9Z6Ds1&)qhH
znD)@~QyWQWVQun;dy<T2IhIIGbR&4K|CPi%O~UF?w$C?agpu`bZgJobLy(GbbC78u
zq3vgm-$A^hNK>CaNV#YT^U2G5Ej7qk8{QX3GZ4d9?~m8ITN=XgniF>prjwDSTW>UL
zwLYUSo0}Y(p+QHzl-L7#VVvE?;TKURfm*NP-mMhVAazJxvbkIs1vdO4t(TBO1FLcO
zBS&eFbFtF)ufGUd#VnsFx+IPBjnPAKPBhqkq^Mk9O%w;W|7P$?$fBxzdtR*y4MOid
z*1EbViknprxWtsnA<wBp?>TsAkVVpbV=yR&uHUp~ei|v@qhJ0FJabg2jtWeW>=(zJ
z(q3bxlp^liTSToGr$T78q>t6C1iH1RXPIzQaC~WH`~T;cC#2aNl##-yNQ<D!WeU1i
zj7k3Er9s`o@QdB<(zs~;!^>nz39kvpw5I6L;Edh1D}h-um|&kJxsz1|`vlDHjeFDJ
z_36Q^0ya6UmKvNh<Wa?@swf5VEE*`YTA6i+%VSh(9CDD=P`l?#0QX-S2)!yxmOre3
za_+V92PD*Suwt|~$J-G24o*4QG8A!9Ij}lVLIcUWneTJj4Z%svy<k5t1%JM_>2l!L
z#6`J9+Ts6<;AX&!g4#9;+TBptoIjz7Y6HJi4Ec;<{g}I;@dG7X&feyhO=w}fmesB3
z*T#_eb4#Uqlrk<jZCq>#)y9@$s|k+_CO|ZOxmm(c!I}$OqHio~V|AkIqPf2*sO4WU
zy3VSKJbU+hdHd+#N&4sZ56))bfBLYmMY$^8jQ_!$NzuUs(yP%ara1(sUtVnUR>Nny
zWxpq{>7eJ>@7Fb!7BI|yyy4Qc8XCl02-o)1!KqK~z7Oei@I({$xNvnGn7Y#^*Q1RJ
zk!mzQGfUVS6#7a2i#q<y?ey5BrHv_TZI(QAt)Pum*Qh0<f!7naoWEqDg;zOK`QM2$
zp#MWq_F8KVT#;?<<rmdNhcQa3)CdDG>Sf-5od%AlmZxuirH)c^{k#fW0H!mwuDn&%
zz`0R&_a6*3R3mkV&E5l$W-7}(?N`T-XIXvfvsCcH<{v>5y#R+`?crx9)$zGzMhO3m
z66Sj@*7A{=Ah5^HrfyLU%RhaU8ndFH^P^;^Aw4E!g<ocC-l2vf$HpscFDl>`0ZXr!
zbSAW>1y*@ysv@sR-GPA*vM4>M^vuJI33oG!?p<wG!K+bkvg!+^u#eM{Z9<g^#?MZ0
zbc`#byHT23R;@U4EIqm^#<jY>M8d0jc4f4TU-Z^i5yfwxEmO~R0Ic)#5AGLGLfviY
zis$Re*r^s=DwYEfIdte{xEKWkb}r)O7ecr><I1|EeE{A5)kpWqDPmCGk?O>8el!HJ
zgE`6oX^o<i8#EQL;v(tk)FLmwyk&T;ri=mY)=oztMh=IM@MXp%bK{AjNJV>j25>G$
zsSiArK}#n?B~k$=w!hhKB^PT23cM`|SJ|YoK6<^To5dRB2)*~#veyz~<@nt821%l?
z`x>jAG!CrxmRz!6TEb|brSttsapc~8;O@?Nc8n3VZ}YlK2c1%h%=%O@v<iRxNP^0a
zeMc!ba#`rmY1#B&!8TE($_x1zDzRf_^xq5JJ{AzA7gKcILIf|f6Se_c*zp$!P3caJ
zIkeo<IODU*%aljACX*`I(ZW-*ZKs|&h$oubB<>*N!wjDt^{yP)Q{3_@GTjWE(nCYM
zZjew>Ami;;;Wfys()(18#|#dn@eK4$2w_WvYG3mF8ax_Aws>>I6!viTTS)8`!n|nb
z%~R}L*xF(4<UMHu4jI?RKaL6FPyY&uMs03fNYa$j2{wVt7i4zCfFR!TI62`R!Gpi)
zX{uXBjp5|uo7ZKk1<+<>Q}LZIyvRkVs+bEg29DD3qN*qX{OI#OTgRObXZ?hytp6H;
z!}U9vS?&V(-v7L`^&~%LHzXY2eZ~lM|6ZG-`Us$LSjdyad_iPwpzE9xH-g|#mN#W?
z2w>eN;y`+p5MJKA)vvSA5ICBxW1Z&&(C&eWpW90kino3||HRP{+E<?QOdl7-FoWs&
zPjzH$bsrC2|C<KkPAB>p;zIaoPvkwZVPX9GwYq68l?H<a(XEZKLfF;l@1ZIwieXwx
zgEH%AK)KECAkRiZG3%~)DK9ZRB4)azx=4lPQ@3mwDI`2*V5iDcE{@;r&ln~@r@~xx
zq0%-w8Mm7rcU@GI#E$Y*^XcPMxVpXn>ccrQ;s+nEfz^H)G9BR`aiW5huHBiFHNr@o
z{&x71vkc}inGbZ7sUY0I5I1-vf}%6yai=-t(5y8e`qCOI9N85jFOnmQ=k#NfIX}r`
z&hg1pe<lpzTVR`cOo<q(p1SWi+ogaVu0f-&BL?t{k}G<zT^vX66T4n_DPjrQSJeM8
zfVe-Gi}FP!QTM!JLB%iyue^Ndbe5e82YLGg;sc~`F?Zj~`c;l>*LY}CtxAPgQHp1O
zH%Oz)LlLt*(kdvYWM<T|oeB+^%-t3avS_>OiQhJcDlW8y++)wA!sHz7SHM>}>=`LH
z?+;Kz?|p^ma^|UUo02XUL03Q<UY>X1m({T-*>GrT-|9UpOxdj$Rm7#;_A6OWG?1yu
zR=Y4tgQBz&pPFe!oO`j((Cob?Vh73l;yFX0csSC;zftg^^Gub<XDt*icpfWaW(4}A
ziQzwl5*BQ3iL<ZO#<1l^^;lM8Xs~TMe>q1PBNsMh8Qj)E)v25day`Z%uI*_3EM5h7
zr{9^XaMZ<nv4t7?TTS5aZ<)ON{;Igy_urrU?{#tFz~F<GHdBy0bmtY*SPic^#6MdS
z(ZjLDmAdFLGx){!GC*)n4UeWUU*A;FL-CL?zCb<;Q2Fx7$UjRR$MQGbeL1X)fA{=x
z4AZB>Te+UVRAUXi7*-*D`#)WL$hqCvWs4<b^iYm!KGHy|Cbp7)nK~$}-)d=izzXsz
zx3o#IXd-KxfbxlJ+E{!lHj^uc0nbEvC}cfNtPCFfHe;=Ya$R}0V<xM<eVCKTG1f$Z
zVahhWat(Yo#W<gr4e*zBe{jMoZ@T2f$$3j^c;>~5%0(6?Jew32&wH<dgO<wqzvNZ1
zp(<-<%6cZ~|Je6|x?Ka4<(FH_w3YGu>9=-?$C>b_T-Yh`jXL(|tv8jTQn0qwWVb{H
z6Y_ft^yq8Vk?Sb4?6jo<hEi4f)AN}i#g~wqW~7Ejk&Pc%OJz|0TC*kXJ`+B^KjfNk
zuZryFKE7YCA&I@BD%%n+F(FAh`BUpU6>PWtWAEE9ivK)wZsY|p!J0QN_ll`923}oj
zx-daTm&rEAk5ndDxLEsJQ<U(`hf|)io<bOM|3(CJ8X$Oc_VMvmf7*R(looElho$r%
zJSGJIrDdsZIui;w6TLUI(2pCNWDM7rdIQw{EN~frDUWPMkKVmwuE7?ou89PGfaFFG
zA)kC%?4#cq7^q}J;e#*dj)pSe-`yBK?ILMR*w3<VqJ{;#q~>JxUR!}gTA#s{CP^%J
zIzJhjyG)pSoa(Y5TR}!Xt>cNH1p2X)JL@wSiTC$yT&#U8K{mYG{9%X~dd6k)dhJ;t
z)@*7pIQ5JUddwi!k_i#qW?$a<pnjg9OGlm?;-rJQw#|V}slqt6@Gs$0^*r%ye8VB-
zT^7)sJX5rD7a4_9DrubN3xvqu<mi%8b8vX+qGrF2gmKB|enpEf67$hHM<#{Mfy2K)
zQO-pOXD*mM4Ru~3LThB_#3RkXrK~*Ie@XzSUXOVQH!c%Djk6avwwpq9(&-Vm)BKp0
zGG8sRo&||o=7ncArttVzkcO@^A7(flYCmnyihoR}k8XQn0{p6t8QdG!;z;8K#bs|c
ztSgW<c2P2ceB*t`cu(`<20g=5kCWK(Htol;`)S6o!h2Ha*iRm$deF(KZ5-(PMl)xx
zh%p?dxrKHf=Rrm+H)X#GC$iYf(Q~gEfuHkdN+0lGf^Z$*nF21neDe3c=v7|a*fs5c
zRfh))t0ETbEqHLqK0s+Y!w}*Rdp$F;;lW2g<pZww@gn_KzN49rArQx|vxc7JL0R9d
zfB89lD5)y+HkhD6_i1Z=jeZ_f6y>|Acuruo9yi=3+-dN=b#N{-m=~{KyBSenBZR;F
z1)T$?sG!&&dUv19TAX@c*0!*kpKgR%NN1-|K`Svo&vSe&9-b=P-ycoJFpCp;HI`K1
z<QY42{U;wfX#}?XC=$lA4+9_Tj2ggBb{DTCZUG#S2_(fVi=fNdz(MOw133EpNXKty
zLA;am;EJ)Y82%a$Q$4%O0M;u?`#9|qLM4aE?DQUSyqz2PI6=_>UehF`Th&OIv)Qai
zJX#WCHu|T|kLkk$J0FrZ7a3`(Wd$pm(rDP|ye{pHK5Sg_ci~(l<EEbT-eL1H_}TaF
zyj_+)Byya!li(7;rK$cUn;|)TzR{O|`I0^i*cJ7QX^0}jz&3U!S^+sM`F?cA=|gc#
z)!T<YVz@|R&(^%8h`rxDB-P^eA*fvVvrn-&HY>{H_dcc|m)H3h#<%oA^tqc(wwxsT
zY%vXW?NLGjgWkeRgg)f^cNC{)N+GB6(`1UQ3Vun;n5>!B2hI4?8UmIw*neFrafhEO
zmRlTuo@!|TzjJ5*3mKQiK=WcBi)U(RthwcI$xQ?JBWulbwL%_4|E#|x$*F-iqu&pH
z6QV+C>6}wzg97F?zs_0bsfnJI@4no=Lj}hyVYkS)iul4yXX|8^7BWxitNX0_0NRf8
z?0-waZDi3i(!JV<RR<ZGJccm0G;Oe{UI|@~a4THl)y1gh?5&|ghOp^WLAz$NGOj6%
zh~Zu3g?gjb!c>nDJo=Koyz7e!hS;PmcunhJnbP@^Gt<UUqiQOb^;s3e57KMGT=Y@n
zis8{u@}`h<AmzJw{i>h)6?~39r;ppW-u-CfZ3g7S6F1!o)$znZt3bzeeN?J``KqPB
z9KL=w<V`-RfeHzpYER?zkyEvLS!N9##x6xR{?gS%P3K(pTpN8nW)dKNe3vEce@xCw
zCNy!aqD$O~d_7d1c-_9E&<YBE7mHbGXrW2>K}D`Zx_Bs8yyg0D2K*JU*|B%87N#5z
z^)&gTje*XG^^y_*b~vUe7e{H~G|B6EmaG=;l*c1=d`y@f@_R+ws)grLJzqZ()Ib?Q
zaz=0r6E57|x01xBg#!PUV(zY<`;$qaTW1p!cHGu7P(G=N-3PAii9e-`VnsbyF9=ve
z7JKJFUy}yj*BVUvq(Z^Sj&sK1G;6rN(6+(&pE}CyWIwW$D~~HL9D1n?Yp@BnYkIJ(
zhSnnve8a}lD8o}B6KiM<?WezzuMe%}UM@ZTIFdMC_Ek>w619f9b;s7fuTa6R)A9vd
zHwdHt-y4dl{Y;Si60oFrLK)ru<!8FK3!-rKE*H&Je)05P{b_2Ug!LY`c_mkPko5c^
zr^I$9I3Flc*PT&B5xskVgW1<0i@=xN+MG-n-FtI6?5P5Zz9av#`_6*wu3H<1@&P0!
zjw`wUkwbXHA~VdrK%m5-+yl-4yYYmD`xP0S4dVAKtePRJYM%=8eq(^TbD~kNixd{;
zZP*cx6U49;cZ|wvu2f6@JFuTBfeuT(KTONU2q~IhpQo!8oH#B%^UqWaY5HzY?LYq{
zdbw_GWh7cc&jq~d9Uy|7C(r!SO&lT){3_^OZluG3*Wnv{UyzX^f3$*fcaS(EcAsO9
z2pu+wWX4XLkg#ydIClU0L88o1!e@A=1xQZnB@~qkqR7OfwMCsn1kc8Bo4!1A@NbC7
zzwf}0-^yMUe9rwzJdDdvj#)5+*_X~)Hz;fIJ1hUnG44@9=<MRdm#$`TtogZC&+303
z=Iw|6KYkNcTjfmhADIH{x&Wce8C<Ahcky2<{{-PEo$}p;&lJqJx9g{ybE17^V(4<q
zBq6b6y1Y5m1m3!`_HqcUK?f>Z=F0PFLcV-u{AZgn<Tm!doDk)}{*pE`;?*pXGw^ZO
zh@CO8+mq*BY-C4ww)VF1?!QFzR92ZynGv*ZPO?~2!iG__VD3iA1w!gfxAm~L5wLMo
z%cC6|ZeQ<T^F3sV*k>VL`ys~=>bgtDjh9*R5xbrJ>)sWDrYa)&TiFnvhV?uV>||Z-
zUm_#coE3#erDN@LX%Kv0_K$NHD|XJ-#ImKZVSshNd6y0i9*ky>Z)Rab&gm7#FdGMw
z-#HAFl~ZARrNFyR8#Wv<c(xpWb`6f#pHLpOr$R`G!&#18HWbO)bvTZ~g-4G&Zavmv
z0H5}G@Y6Ne(RJLnsrVZ=PW{+@AU(nW)^J`4cC2T|yZ`=vpgrbA&(a5izCs4DsBdbz
zF@Xag<Zlz%yvo7pk?wb#PxYa%_DfOGe{1mf^{ctbuLV%a(liM@^?_aS!Ef#VI8lt8
zakK5T5H24XNo(WKhZXja?=|tO?=?AGSzSp&JAVEwr(ivhDUBBR*uae)yTbO71%y%Q
z(&f`CUAiE?DVwE<#*3-qaravfi{O_xYc3gY*M;mk$KKnx7K4qNA}MTQ$m-K%m^YvU
zr=BV3SV!_>k<jF{c%C>G7F!<cJgEa_&IQf$TLiIdwnz&@B{6fiY;cf{4#;?XR=@FB
z2<c9@@_2Sg<N8}nviX=cJe|13Thc(n)5)~P$N$NqhK}*qh}YT>CRu+ugH3pqn>!Qa
z?#Sbt`nr#|A8UhA_ioP2%_4YlNsXMlsDS<N#(mSuv_a@gTh7!=QGDF7`%Aqg1vj-O
zrRH~O1Ap@2l_z%M_~D0yli5`zEDfl=dQwFPK5woiy&jRkcW<?+lz+;2mh8T)c})k@
z->lp4qCg7Umh79CLRB$L_;aI-mM-uW9=`wXvJ6W4o$~iu%^90A2Y!i7>cWV@qnPMR
za!8&P534+{ft&;G+I(Yr@Sp9K9#=O7OiJZ32L&yRikM$KoTLxhFK%WChbUra@}2`1
z%e1jgThGjPy#eU@cdu+up`dF#p_;T#7wzfJ7PAy8RI?9te5_W&qbI*A{P#u=?*z|2
zkd~*x-_Ev5`*~#)*52Q%e?=d6o^a8Ourh@7uBwD`164HJo9M--Wq^ea=2vc=G=k{+
z!L9PEIq<UT2G{Xi12my?v{&^R17*a%@$40KbdvrfOJ$+rY`j5$t)D3<b(T~L7igg0
zrLK+*+En}?qx$2>q8Vr&VG@Q<G_hU!n{>De6*s!G1zyj#0F&p*)q^QoSpMosy6d0;
zK9boJ{B*M=gmFKvk=UY*Goinaz6vxz^A~8NwO|FAYAtlNAKF+A2`6@z=wt8jiT8IM
z08mOpD!@z!O*XvvD0Wc~UpUC#n`dW&V5Gp@Lw6mlyhwS>?x2JB^1W`I%VWZ^(2J>W
zjdU<dt#pxVbziNCR$LORd>QyQWb*m5Hdemyx*puEhNThXIh`5SaG>{7XOO8j+WIzn
zZWvKUE3@2&;t^}GIF#FUVviPvhp^nX_@jv5`yb9bh}eLR^9q-w$11N!h(RwtIW+IQ
zefy8B4WvYk{~A=#!0jr|#R~Bf_>YAm@5gHcSxupB1vP5;_}yL+sVHGQ`64E2cb7H%
zVi;;abyGzrWAn{6pZM|P7X3)=o7P}vlFzTb>L;47^X#Mh)?jUw|0Y8RYpBl(cWbs&
z!bom2Zh7W1(eRLX{dAZK&0o%p9<5MB$yYT}lbln;R*P-@2TwAAvg`4K86yQ0F8mNL
zH_%69hYt^yk(p3;Ebe;t5m{7~(~GM+@s0>PXrU*24?v8n((&t&6n>1XJl@h<%~+a{
zCOy^%uq{=Ju;i4$SDq%Dq?zrEYvFQ-drmN*BeI^0?V>1hQpfz9l6o1RXGJ&s$g~3G
z=cF$!AdIr_A8b7LcYq;Rt<zCcYYAe1G;h68A>p|7`-HMrLkzpG-66p<bXa;8#OoO;
zfSag-=B*aP47Cj7XV&U;u+!(5YFp&R$Hn3Q)>aNNoISS{9N1$4S+6fQd31AOr%Ykd
z#uI}KiMQTbLwC(#ax(Y5l;|3)K4Q>gQqj+#E7a?p9yEjO8oSDhn{3GTXL6J6^<Kt}
z($luwR5K8FwDt)OVnL}NJ+9)WJ&e<pq%XA7rT|%fH%_rF5hM2`&cp<FFq$PJtgF76
zfO$zbTzl}32s-<uq{R6PV{JR%vtT0=pbO;EE)uiE9VKSjDV=6U+`%n2^C`wa%+|1l
z(5H#t3j)Tcn6->6Q8&4D7K|Y9G<U|3$RrUlpk6WERLR(dW?s#HMzGcJ=g&QiapH@g
z*S!bPS&U;>J&3XvL%4m}DMCA7j5x@;{b}j$Od_`F!=4gbLwLv{uPW0tLd-mhu}+Jw
zAmo~3i?b?dFe+fkxvp@SAYYK`^Z5LhXd3qV>TO7aVaG7<$*Do2@|(y&qV7jR%SB46
z{s|S@^VB-WQU-{q+B`N@tyZEqTqgc4l?uIcLTv{V`iXIR0e712S0bNOc)_G>)#nYI
z&&kyF5wnb7%O=eZ;#<UqWG;pQWEk#ZzSz)5T$AZZ%GCHy_&P@R%GK+GZ`j&N7oI+1
z;OX$sr|Cb4DUSxXeXE?3xH23zzS2wVJ4tR1d(=m$+|Ivtw^a`wnSI#uP_vJa&(mOL
zH4YFuR(3M+i@HGHDRSZP**;=T<8c8Y-eH16iBYg`^&j@Sbx?;&>L>0dDgG?qGeWEx
zy>(Gxw+=*$$i{@%^%Hy3zGioKjuHVj(#y%|+EDlEB|WupfM5ZkK3>6VD+uS0{X@__
zgpU-oYk`uZQ_3S8Bv=CjTtu}eh~$Vq)~yO!@RakOQYgzXaWzEA!TQ-G;r&45L`<M2
z0QF`fGvp_+b-`v!`1WbSDmZBisZs-iZ|w0=7W_pt37$OPtTIdJ_l7Kz$QqDw)>-LQ
z?<gVh_KjS(<X>WM?uOo&V0Ex9%*^u``%N?-+4wiYVxFj5d)UMEqZ+WB?N}e0Hcmu;
zub5~{TqJ%K#DBbJs0RO@=KVL{F+rH}u?^M9tPmHMZQRb@RfW5yH{>Q^ipYP|q-{IR
zf;_35JLJf!5dF=B-Ru1{!OXkjIDM22^Y$AIr^l;6MXxt+-tk$2uQN_eUz-C*D7hwd
zE)`hVvw8V}*I(kGyQ3~ICnp-lx{htVpbTr1s4wq_%o7c7zw%EDaHINFmWj<`%5c4W
zi@=`JMPlyhw&T@~yqIx(RJ7uO5-e0Wb;_Bp5cU@{xnEZCp@HqOVw%nBc<fBI`w|P*
z4X_ZGq6E>?^PEr8AO!~Pmllm<*^r}_$4bkTgaa8z7n-h7Kmh`F>gaNy>k}pYmUc20
z-Po_I??eHoPuB^~HJo_zmcVRrjtB-FY_8KGQQ+^(E6Y8++*q3Nuli7i7_Q%vxNx&y
z5q5j5wbZobMYkV!K6Tbgpy1E2r-ikO&>#Cu=XMDn&i`lVS)?kBc2_rA@S`GFYjCrg
z`3Yi*uG-4O%2f|3t`Hdfpa`9&LJ!k4Nmy04eObv~0gq|uo#mKSgiN6)i{tOe*x_Ou
zVb`dL6VD|ZhUgTyxXWy^AzlPqdTry{4k;lg-TlqCTndcD&-@`G#W3FOLb@MQ1^Ek_
z-?CdO!SjnVaY~mY@P7aR0RR6Kmv<o4{~yO~NA})(+#SvxXOGXz8D(W=lob+{uOdQ5
zBr6h?tOhAUDp6V8M^Q>v*%V3=+1cyo_wVb^*ZcK;J|0hh>-YZIN{VRp5$TC&dO4_|
z!x{eV7D3<WeYiJG#-Uv#`=<`{@_-dLx*23Dj_QSXVoi@Kp@X-{2^UNiAfg>ogr_9Y
zQ;6{9`D_(*1UvsN@2esRW{9#RyGf%synk!SxGL(Gvh-;56%IUTvirt|WYBSEVVcuI
zBy@LU%+GOK2|D2Wf3MESq49dZFXij1p?Dhfrg9kpj@9b0n{p_iDVjYUGuG<p_{@Be
z;{*}r#`*6`)+wSox|*sDW@I!e&gEL~6E&c_<KwjEk3+q$&iy?nsDa+h48BD3oDB7)
zEDmS6mC)-&)ufGQ8Yn&E-0S8)nh>W^M=w*Vj4~273#;ihQP!rfM;dH&fTZ2h(J4tl
z<+5++OweeeikSSR>%DsLI%`vCCO{R{I+L~?T%dtY@^$<E@HYe*W6={Y^oS@m_|Bu%
z4l??peo81T0^okX#N>1V5sm9=v`M_Jj_%c;`^faf2-aR#n7e-=q8rZ7^8am<&~uPY
z!~2#3B`;cVf&E03@tz?MEe8>Ob+Im`zQP!^&UlJHc}zqT6gldWQ6&`n$y=?-#{@$9
z>kn#~6Va00(82*xMYJ?_D6nwc1PX$gqC(H9qWJN$R=*Q6sO2c%PYHQb5Pg<W6uPN`
z)(ssQ8!Zw=qugpNMM$O~W@_6atf!2cV6VUT7vx0`W$vBoJYWj9m1!oA8ROANNRTe-
zVnR(5+;g5bn!uocAf1>T7M&Q*vJjnLq9!yOAC|E-0nMx-`+-?`G^b=Nm7V4@l5Fk6
zdHS<4@Vr^ADt{`AitEZbK5tq<Mmx(=hjopir}w*HQJ6Hk8Y~)1&qD`(HfV@@5e4*D
zh+9p066nl3pOqh1nSn*-g{K9E0tvzuBTC^SXchBk+Qn-Jpj7c_SJYV}$hIC*B4!Gp
zCmT)-e{$mhW@n{Sm%jn5KAKN*nB_qSi`eX2gt-70{j%+cEr5{jz^H;WCt8DzxPSE_
z7YIFhn(!<efxEXl{z|Q5(AuXb)7JiQK>*F6Y<!*}@JyB6^m3<1$Db{RL~e0`zuS7|
zSh)fCYm<HIvbU)`HbR!O(_C=kMoBSmn?ATS@hJM7U#4Eyr*6%+aDg|b&Z2Ww54tsR
z=J(<zsRNql%3W`BK~;&J2nRtA%(SmOLUlT+DRJQ*Whc4d`rcvN?jT(#MvwmIbhZV#
z$K8K0)PM_AGIz=e^*YdX;fmvB+&B_@<I+8<I2Qz6_fB)>)B)jcYxA7u8H9O+@qs-X
z7u2&o&(A-t4cEOhPC)q*;zM@apxK{GpSEc9@6>_;Dt=Lkehq0d=!hPZ;DT0Hjq~QZ
zS`h7Q9P!`wCSqW+)EZ&N1x}?Bw|<ms0tY7j8n$#78NkmB&Ryn$O=q+A1zAln6JfnA
zc7PT<|1c0l2Do7M!koQXkp|EQK4*JSMh9P>-8oZY%ni!p=jK}#G{DU2<lqS%2Dq1&
zUZn7W8v;IWMV{UNr(N$PM{^n(;Y)D%h=>mlEcwQLF{O~f7WovmsLu=zSMA?32=Rj6
zd7p#cgX)lN>fBP*fPtJ<xvqdoURZuG6+a)Q4(35ii?v3qAR$yr9_ZkMVCr^{qNqBI
z(7vin={f*<$2rBPy7^(EUUI_ey&6QO|I2d>WCyjmA3Hh=0`TsQ`HP`&H5lhw=VcP(
zgg247_+Y#c%#m0Z<<!-{?4@|J+*vL#O?Y;R6ekQ9TVGykSRp~_xiQ=K9^7zkEPkGK
zMFau`v+zh039LPMN8*q1z_;fU$)Sm2uyp8$t4}rw(taHs>^sQ|bVRx5bs7>t^Iyb=
zjZhMhJ^LO=T;T(OJ4{<av{ImJTKRL%iv*3qymvCI`C;qr0`vP-DM-vm-&wklpgwFu
zL2pd}<g87tLpG&B#^{T&raK9~fX?EAwGg0}2x7GdWT91+etrHd3F-)M9n5Nl;a0m{
z>RFr|tYt+8e!WQog12s1l#VFa_@xUj*~!Cf#Ahj+Pb7FTwIUtVAqE*&WlXl>6=3D4
zdFVGDHQ+ck4lx%b;NcI7<c(TIm~;>RwH~AfIHW|ePFM<TUWHwpU&KNsU+cXCKh?mS
zTVG9sMj9yW$)@g#c&K91>~{@Rht@wF7kg)=VPup0w5p>L)DW@elbmFr70Jl>G$sRq
zqQu(Q=ak_&tNCBsHZr8xJ4Q71$wGV4@%1C&D&P@qclOym4JaM(6CM662TpQ{%-1{#
zkZ<X$<DaGpoDmFPOQ`Ztv0@l)EujjJx+*^HWN5)?0=Wubt^ob%1~im%Rp4(YW0p#^
zVRcaa^<=6dq|gi2I_;>!;q%*~#a%j3=`tX(?urE###bj5nTTL=E4ayoQ4g*&-R05a
z#ev9}BSUDnDrC3DcZ?zWAj)ex9Qzyxd&zM#wue+9d2=N#Il=&#bI;U$QpH1A%^`QI
zAOifp>64LNW(b8C{ImQNJV-g0nGz4F0C~?!ldlZ{wTgTv?Rq>c;G<r94Jg5v!+lP9
z0RS2FACeZD@bJU(xW#)c9t@W*{rkJ0dk?2Lc8?U`LABfCo4Y9%dL4e%ryxd<|G{I@
z(*h6G`Y+Fh=_^1@q`ahYnh_K`{|yOk$HC;1N>7!z9P}h@p6q{X1WDho-*?C2K*{Cr
zi}`hFh-l;A-TYw$4nJ30`8~0qr!~IrTPF!&+CA=;vqmu1%8t1irU;KGO^zfy6@|@0
zZ9&3MBRF0+92Rw60VY{>cIkc#LUUKaM&WxS$jN!;*X<z>4zWU}_;Y-~Y5aSLCC>;F
zMJG)k>B+(9#LUto7jF2vohrHRX|&H-!&AdtvcNxetLuX)JN(Ejctj&=1eAC5e<y!R
zLsEVmZ+IaFWQ8x~-fRb$@K{Q#sFeb5R;kl<Zy4Z|F7vrR`&@2#6cqGPSrS&)77fm4
z(Sk~_Y3;N$fXBwe6Ea(3K#V_D{!VlkX_q-V8gLB(e8tGc&7UH`YJJ|z2{w_hyN}Wd
zeTE>BJ@7qkMhIAvtnPXQtsyE{A3n0UAt=YsIrZ}i!UH^q0z=|H?@DhPaGo%L9;#R=
z^*BFtxiZTd`}{+4wEpnUR_eo<_{dQGue>0iik1&fEhCul>bgf;dT?4^x-cey2h>SR
z>z!N62qSY~@mEVds7$um6_VoyU!iUJ7YY9m=JxHAgZFfSdi2Az9Nj*LSb`>R2dyAu
zm0y?E*L2|Onckfi1`eP{zDli?uOh}n`B+y+9hm9%Tdp)?1LYTtkAs!h5$C7@5@(Gz
zI6vfRZhp@SbF0<kX_FfWv9!8dPDC5}9+yd$#IeAUVPT<TU$&5!NfOd`E^9%YRMo^v
z2nH%%Ghno*cMzG9N0{(MO>nlnxPB^+8FbA?*$nt;Ak00Wwc1A$cyI7o%q=oO@sjh~
z+lOc&!g8|9VMqgtB)@$tzQ6=>p{0!r*XSV0QbX3|hz5)f<iFU$GJ#TVrSH=zdSIHX
z@@efMgH&~a*;9HZNWifEdhf&t7vgfzr!HjhY)-f9Vq}8f++2l4Lrl=ADED4sTpc2s
zuKT}NVFJ_I${PMK476xXsw@Ae4(c~APS{2=ffJpvlC=^m_;gWztn8`5^T&3V6Q`Nr
z8VlaBdHVpU9$bD`n5_n)0{;&5L^H$L%uAiRv+Qt0jfLG)O$}BbEU9d&W1x4SKCgU_
z6If!8C7t|A0^=I&TUK@!AWXI$EE460s#^l0w2>q*v=EIx!NLk^r@PuKEqS1*K`b*?
zfdtv)2(D_}0a!Do4Ski#yT7-p8)kz<uuUgC{PiCj^c>{Mh@a<!BE)>5EsF@RjZ5Qk
zL+l`T;PT-?KLPkILlwz$AVRKsQQ_1XPOvYx@QB$E1V^5NIeRf8JS=gV^0>(b*^;}c
z^kZQ#MItRu46DLOGXGXh5;tg^3|6<hAPOa>zN7M)s-R--I`5y!1HCd$WZx6wP};1d
zI&w@EKHbHf53J$^XNB}P-sdIZ^Lov{cLu8PgIYIIGs6e{1%^GrU!-7@wng`Zjw%G!
z#<0s93V?8M_P~WLX|Vq6xpmu46?V^k4UR1n1j=_KsZp{lbQ=t6UP)1f(god%E+k<H
z>AQ2MHChge)Hqd(Csg6p-v-w0FCuWXM_|0VM;?A`KV)%LCxU@cPl!W?7<6YfnR{s|
zLVkEOZFdS0j;}9Nw49Itv&vl7{30ye8{G(NS|dV!ov3dLUJ88k?`%l&?DGigV5uBS
z0<N&l+qYDtp{JwZc;F=^pblnST#{CU0Pt9d)0KhZi;s(nCzWB@|HIJJaWx=gr>Dp^
zvY_{aUF(8AVPCbnG}5W+;9c#rIpZ$}n}6mm;KEhmv#EhGO9L6k*5VH16Xb#0EFj?M
zK_VbtpB(D?GyscZK2%wt0D1(2YL+@8bX_g~&c>kyBT9C+&plCuCX=6y-`Po!LUO*x
z=&22Bu0H**o?(F@z$U0tp9EDymrJ->bl}Xcu&3&M9NhBo${GX`$T!H0OzG%Bb=d0;
zg-|@`GWNuL;U~f4<FY>=)aXN4+VH!6tP(`0aL1OuCc>$bqqqJN{@-ibxSOk$Kr(3}
zCJ{@7)0WP^&gLT^gNxLc<W&YvQTZnl9RwiH3$7#K0H3lqf^-pO;CM>>!?>snCO!41
zesLSYzzD8#QbQR;apO&TAMjvt_;Hm`wh=^~;BZ1$l;GgjO)F1tEW8@&>ocUKfa2Q>
zX4hCHsOmaiIMF8$N&y`8>$Vg~@^w(q>BYlytJ$;=U0L{^<=uNQfdZ2D%{;HSa4?!p
zC#PN{1*@EQc+&DIFnq?#{MkAdb}vf2jiZP`M_sR<dkzJZ@2aK?@Ap)f>fmzL3_(!L
z%>QB@O@WI!shI361$Zma@`QoH3)Mg9-4m=SAh1=Hyk{s6+3jD>Ug+b1MXp-bEH(<{
zm|Je{jmp9sui3j^@)(#q_`PVa(Fnwg-%d6}$pF3|_f9{A4(0>75ycZmz`S5NoGU5~
z*E`D$&jf8D+Gi*+7)B#7ebHejmmmqveLE$jmSyCkPC%X7eSl}V#A2I2VlZ4j(|a;<
z25FrqxxUc`h~)X!^&wCMUTB?PTRi*&=}K!)EV{q%3F(Hb9|VM;W1Di~vw1%v&>^zz
z*kuS&<ZJn3zxiRUDWmP$f1i;ljf!D!Izzbiu~dcdlNZKteiLp!O^B5@hbf!30nmCT
zB;8=)0lNoJY)&}6M&whEev}T@hla*`y#J1J!O>_I{R*pBNDnD<NAkHIc;NTwdMnsr
z#>SaaQP+qJ%k$-#t?0sxR8+{nf2`oDU12i4*NjAq3Nw})>cX{TPK(e~%s#(lAGvwA
zBQw_&?wO_QK!_-wY2BX*#<w${aW{TNGUJ2%Xvei7J-mnJ^Hl~2lClxw3LHcvM~Cui
zb+o}Y`67+<932qYlX6er9z~}4G%@D4wZQQcZ6M()EwoqMWvb@*iOjs@Pfgy?gkm1+
zC_4`tn5QcY={i4&M9|5Z+Iwk2@<gQ1!S}m}d=%Y;>DnLUei~*YzD)zpL_hk+ue5_y
zj>PBQ%9=$ERfoRX)YSm=VU}Xb&n-l=uE}(}XaPC6dQIm}B^gwB6mt5fHW812(Ylb7
zCFD>(cE?VE3=b<^F<azKq#)gN=UB`?WO9yhkfBH&nAIv`s@`rO_4Jje6cSdEs4PFp
z2h!>g9I@4TDSZPuvz8w_b7viKdZFwf{ZI{jAJ{)B&D=l)?<V!ycWxq<*yG8e%4)!+
z_@9X4=MBV&!{ut6*bYL`qx$8&B0<r(D#H`qO@xwArNEK8hnQW~9=T>lg1^`&i8;fY
z$gAVHq$mzr$eI_t<h0M1Sc04F+><Tj(jCG{$3Qv=zLqAm8AJrLiSS^D=iA8I^~S36
z6ZF8-n{JlOx<4=1>}8(ZL0&J1Ev|+!LbP5$t+Kr;L~;xVja%&@CJAX>I4m<<*b!`x
zzfFMC><G3vga+Q_43TbZVc>q&Si8qB6$lMjs>wY@3u8S6=1cqcax^=(Oj=(B?%c9t
zzu`#-s)h8&jD*-B+qt~iq(B+y8pK%z<LIF-@%r_b0i59C-zVY0qzpFon_UY{43IWZ
zUpl_Z1-3y0#_|`H02jj7Ly%(vvxdHsWJey52z|U4zP0buG4%1$Wy~;}e^%MBix(14
zU}*f3@gRKni@B>43!E&f9lCsmAHo8x&k<zt&>qH;_(16Zc>j3YI;kWGyZ6!`+V6Yw
z!?#bH7**K8GMv|JnM)WR<_xsvCF3CKn_lrtcTQ+{9(+|+LKJ*T9kQgIad21fd3VYf
z7eJZk?+-`B;o^OvW=}mF7>gB=%vE?GhRpnOvQ`pkcgG~OwQ(@$8?4or%?tiV;sjX~
zq(QhmRfXOT2c}=S`^P2t;UiD*Y)+yKh|`^3%uT^T{Xv0|-S+~}fo4?S-Iayj@xg8P
zNgT|o@+_uY7lK6d`(7dG^3Y&2{9FGF9z=U_W2sRhASqTpm_t&89J(H;kWvE8+^j$8
zSH<AuS<%x`Q&{-d&99Qjq6|kw?KI9eN<dkz=N)1t9t=|2XRK9Jpes<*?@qE5%xquT
zmWoyeR+4Y5S{4Bw6!XZry_E(r&fg!KtqCxk=5dQ6NrcOR6nh-2EKo<|E-D`&LMMGd
z=Yl8+Vy?6py12^$WypTZ=@${+&Q=vU7^y*AZA_EKYk8nsZZu-AB*7cOM(_OV>LA8@
zC~=Zs5e&}?L64gn(6QH6C$eZjU<Bs6?O808lXAk%r_`V^B64o>u_lbW&OH!BaggUd
z@b;#eI()dLPQV3f!vku8M9nrHe7nbw@$7qH*M9<x8<zWCjfs?dA*KwZx0u%?Cv_<3
z^!O*BuMh9a{V#9{sDNGZkW2Ww8p!A#){Y?>!g5s$cl&o07*$FxNVZdhgQ=zsYis}l
zZY#u`Kmzc6V?VlgoCHcsL)Vs<0e<G3pUkKuz|yC=$rS<-{`O!B*P4xBxk$HelS%-8
z_WsSS%PO!ESo$(EoC40rM(M^P31Cs*v&dwJ2ikg<*{>L5Fvt)OKQW^Mr|E8|8U0cK
zwFQm--{*{Bn$4$nj86qxU)|ir`p81Y*i&xzDr1naBAm<FQ37Am6|c|%Nf2Om<4|Zb
zhT=-<uHpW>25+R7^XUsi14Wg1h-wTw_0~jv5)RDs*1c?`ctNy5)6MaQF*J*{JRZ;7
z=jrH+2!hoCm~_AKxy8yDx(uS#9uCWcUv$QKA(R$E>AIVJ7b%eC=oS+uEC=k^SlLFK
zWn_$FJ^fuG1wNDT83spWpnBWWN1?kPxwd+!aGaY0^nWcx5^qaE!LPwZCHAk>kfj^n
zSNHuP*Q)$wS%*0AaTt{dXiZbU9VCVy7dC<tjD4cnO%b3eHWpj<UZx)LXUTbz58!5d
zZfiJ65Xekzq^r|w)K9bgl20T7;-=<P8!P$X>DNOIk7>53F;AWyC0HZS=Ir3IaDWGz
zGrLaZ%x+V$tM=FJy$!+fuJN3N5hoCy_$^Wwcc@tw32tez2JrOS;_0IUtYBF_tGi^f
zOT}L2Nt1f058*TPe_Z!_$m8XcRTl(ysa;$F13O>z;A7isCV2`yB-Ir$W~c8^kGA8J
zzhU&?1+w(=Dhmyi1x8i5e%hvnos=;?W~K`VJ{LABJ8U8ggeI@3$t@}b)IVmtsskb>
ziAPY46-4M?o|Vn&CKdX^4+Zq?^HJ2jroMau32cw*$Ya^0=17^l2x7J2=X6HoVXHsL
zvKj5SQ_34uPOS5#$FW+FecLg0N%;rzM$7kC^T~B;cISiicO#mxYqo^ZtnWt_D`fFz
zZ`Y_DI)?{&5ltY<^Te8SeMI7K`Nx;T{yq!oC+r_-zydbVYdg9a>F#aUH<?_e4o#LO
zP<S+8D07!hH?WrKmF4PaU$aX69_0C_BAyKVjOG$CEuX2AcdQN`eY#2&oiM!Nv!)Ky
zHWp^>6}?oM38crjca@q;S@AVIs}A?G)gSx0jZoJNpS>Yt*QjFMQQac5YTzJ1(_MXN
zocgn;HZ8bxjcQx4KpYNK1L5qQtT6Hf^_*_rR;SZC^-r#ff!`7da(kkC-|tRRpFM1U
zAxGYz`Xpbid9>fl26+zKet+?Y>Zo@!>x$7PHOYTg@hTGu7}AYYFrI&@Nm*Hy&X=~R
zx9=EzW6UOk*cYRSkF4|5Y=%rOucdA3r}^dIY&aquc)rtmd2E3?lO?&(mAgyzu~sV~
z$Et!3!TWx;=@Rw0#N@RyeHwJORsFBa3j(C9eN$4bU8c(Srg5=b(4riVlRu=*sQ|yN
z!B{b}LKTZ~ef2kt4*iPh<Q^xgfNx*U?)h)4RNlin(Pvxe(UgGx!Qe<`kpJk&OLu#n
zN=|$AfL)srop!!-D6mZlF0c*Oemc8J6?FEGyxPr#jtfo9ACOZ5;z~_vP|!9t@V8GV
z(=7~|Zd{msCjk%HcB%ADw|A*T&3oVfU13GVY;A5N&EnufL|yQS3p8jveOQEiDI1#0
zmfmUZiGwG0O_vuMXwgQdKRfUCIM9a!KIxZ-uwZTQs?<@E9_9FT(zLvl3k{I1VcYP;
zLY>vQ%UOjCsA|d;$8SU)^lw%nF>gT;QiqH<N6eVe65r#hob|k@wPvwtYPuqPGFIlg
z&4WQlq`oO^2JoZyz5g-ev=sr`82a2XtZ2Y>YU)`KL={XX_r#VIU~+)FaYu;_Jr?9P
zXk#Rdk}Y3bc{VD*_lV$!!EqcYR~BLSOpqvQrrq}L(0=dwu5n#8D3J>d<M-(gZx=^z
z2CrD&&s2br+x}h#f4I>!IrB5K1Szz1*NLU<z5>`C74@T>=0zI>obDo-(&)byu?o$0
z1$fEN9Gt<ykIrebE?98LqIkCQhUcP+uqj?N#M>)?zDnG)mwY6L)?~y;s_f_H-Q=@Z
z<4_^Ad0U*w<)VN#z;W_Pbu3&pshG!p5kakTb|*q)uxNg~#g7jd9Ar%~bbVqKN28i^
zK0DFj(LcUFvu%X%u;lgagU2aJRMt)Yh0L-N%B2<l^<01wbiU-QpInndvp-{o4CYi&
z7f0?ZU+GnV)Z1oiV<m%%>-311POG9@!rsvna|C#zK1DhFOcovHB!94-Bcfr$_N@<d
zh~U)wQ>#`=9?iJh_^oD$gp!bjE1Xj#xb{}MNj_HrWn%r^c=x#)n!S0%^q-$PRC&{#
zL3y#Lc}Tj&JAZYQa-rJy4W9-Gt?2Tor{K{1cjwM_|5HbgSU2l?&S^p_v!Twz1w8ux
z&Hd>E7G$*W_u|{S+5H?_#{L*bl+l=9m@Rd8GCJ{K;JF@)9^iG8mMc!Hpdv9}i)-Y_
zXomNUTaCH_j5zeHTKf~wB6eELX0AHA+;)QDwHpFnPx!xB<5kfW2hp}Cb!w=)P>1X5
z*8uWjOp-@SRMF!#{~fPQA)(YgB}>+)M)0CwU)%dt(d4?Q<0YI#^y$r)Rzpb?IKK|6
z8P%$&v#%d*X0<Y!lKb9MSkD+bq}TAJ2CC@CT=fq^Ygm-!=OD8C))?YUKMveFPeA!x
zzx4%i%A+Qy3Ji0^OyJY{K{I(z71W=6ulKfsG|HcM@AT$D6KM9gxZ%R2j7El@(!w;0
zpv&=u#Q)EmtR?4iLh-0u#DRN%P+qisUA{C&+62;gp8>TNi*9ar9k@Kkic)v9KWGda
zL#~6{y3m*c>dC73leKD(`nzg9_}xWg_}a8qk-Q>@hP}CRKWO_8l}q;6BTiOh2p)<{
z=x3Bg85+-s_gKC|_(H^WjM6A@tnKMKA}Wo(zZqy?7e0${>gh(OGE-nzcs<E0N&+2z
zaOG8z#X8bj7(!sXWCWh?snr*zMbHMx=vRxud&sDL$McbO06S8xj#sK6%1@@m*jUoR
zm`ks!!g&C0J$<)J-h5~$yR7Uy3j>^)7`||C5&<{Yw(7_*ZuGIO+DMTUBj|2PW!ude
zLKWprhD`=L+EIFw|9uT3s4JYClA+n}xmg+O!sQsWA4%8soMwa+&Y?p(Vg@i>Z2RPf
zJ_GtpA*@Vuh!Ny3GQM=8=tFsbdCa^44O+>{PS!491oJ-06Li6Pur@yScgALeO0ho2
zuti~nUz^8BkIHo6wPcn$->)UAaPSD#`5OZ?<mwa_&FH`@T56w_<21GLfY_~_Fb24C
zyt3vPSqI!U6rA)#$Ec?{YVYp|F#xIMYA7UV1C!uIj$aFHRGO(A$3vg!Ve-L5d&iI#
zwALKBt6WlqY%LqPi(aRPPUm%oTUuIBU(*%GzSM=h>6@4K`i~y&U{lLUd78jJG^aH$
z`W+cRRWQDFk{-tCX>081G(iNN)%w8r3;8rwGt3i94{V(+xauGc$S#kKUWuGWZnEVH
zLJd9q4*&rF{|%RSIMsg?$0>Wyd+j~0%^j}&J$4cOicnT&sYs}lh=@cPSw%{bibABU
z?x)bOLfM3fkP$`p&;Re|Ip=vl&w0Pj+v92lP2xKlUIf(|FvZSeK0{`Q>)9E=vT{1k
z_b?d>sM3nf5{p>8gU_o+(F{QHh-~%iB7w&G{uV>$KbS|nn#_<mBLwLblXx6Rz}FaQ
zxE!^NJ&zlscOGDb^@Va_s{tbL%ni+UW&gvR^1e<h)iJ?FlAi^S4-qteCHIS#tznb$
zss^DA%)q;i`n{I4pqDw(;L@iJj85sWQ^6t&JUAL~-8NPWSbU0i>-^fn3Ry^W)_d8Y
z;rOKRn79@Qyt(yRIGGM;L~n{&6Fb<F<z<YjH9`OC{=-a_^pIo2J6?946D|vX6^(P&
z1mKMz<7alkZvo4IO*?MTYTotoH@zk>7l(5P5g8!ou2Sr;QXcrK<S-NAtN~Q%H{6sY
zMu?h)9}=CsK<D}`F#3%;)P2q6jbLB~50PhXByN5%_3mDKrKS!-9fo%T(^+6!XYSaz
zp8ym~T-N1$ss=iqBqKd@Hn{z9nXr3Y5PlumQ~i*v21y-%)dcYz;H&0&E8sF7oYPu|
zJKI#D*kmbk4;L5k<i+wb8wmppao*Lus0vNQb3=T19=OC7_Vcc^D6~V`z-=8>sMtVf
z=nZ+n_(TtNSVbIu-2Hn*pF<UnJXh1my2u9uZ5{tn+$2G4QN8@miV93rcD)Vh;D@oO
z)_)y?QjpS@JfFL%0<{eHy(CQqVW?1dYM-PGoO>wyJ5yQ}T>efnZnWc|Zj|x7^Ep}Q
zdcWppdQ27c?yfd#UlM{trw2JrN9BN*Yp%JqQxzgwUoaJ!i-7X>Mr@j!0yH!^|7kg{
z26%Pfsd_ar2&3J1U7t~efuhdWTI%XB=OpUjK$d{-zduhg#VUb-PC>IOK?7=QimP;0
zrQi=|T-m&$3iOqfoupUS1d+acC6Rs7Fk={8=+dkTZ{sgN_nFj$n+2o=EK~-*ZVF#l
zKdugH&H0=O@3g>=Hs9j=To$@n9tR!yqXFUFBdfY^iEz8M{dLHU97HY&4$PNnf{XF)
zQ)k9WaD<7mz+FWFUiM}E4Yt>UYkpJiJgO9!u1`HD>Zb@ff1EOT`n7<|b3`;WLmTYu
z=W5e)31IZzAg@%92-#l`ztfb`feU{x88<d4fq40htW5wBCQrJW<kstgP0)WfU%n{A
z@&kFpB!434r)Z@2gzAIqS(jg)^(r9P!Sy1ENQ5@KuxI5IL+D<y*IBu)3OT#p+TX9z
zg2S>5C1P_%@LGGgKSV|iu7)3|qTi(j%l40&oU8zj@wDS#UQq-0lFxfQximq%V_v71
z(-<~gzA}nFQiFc&7d7lnYA{t;D#lu44C~Vun(^^!(APupq?c5I|2jGfo%Wf)=aiuX
z*Ok>k+3`jw3z-0>p9lp7btVuQ6Inf-pbDWUE{Z&slZQJDO4qVDOo4J{AXB$Y1r$E&
z9uwk}frrx!1@$_nFz6TYs^Y#fh(@8MGHwYdy&i?TW@-xJQma)io=PxNc+BRgqY%LU
zl7AmGOyR#%-kz@8iqP{w+4HdgKVX(YPtMbu0(Va<w||rZEc~D{9;R`Ce`w!v*`0l!
z7RRY*FUr9e(>>*z*BRiMUP<?*V<r&B<eA%hL>3%82Q(hZuVeTk2EHu@6VNy5FiEJF
zhGlX{KGL4Y){c&dKDliS=B<~!-APg~s6;naNbSS)eY{?c5saaMP!nf)R2-b%KNsq8
zD52d+%*s6Z65ub>LO}f`5%6?)t(oz!k0#{O7UN<JkSmdqGw==%4tBT~urW^igN?q7
z&cWb&n0ON#RS*WFKNT*8Ow%-m?CqSZjo@k%nwuEl1Lb!EuVw~kX-j|doF5Ds!mL}b
zUEm8ISc%XoO~{?6jbMGx6qyad*7=nNErb)iUBf)w*cWIyb{;vlR0Ft~YW8YyoE7dr
zjm0&m&C~8P(tXef(1$hsPHW9FCLs9oe`Il<qaFSIy5U8U9{hDGexLt!HxQj)r~J70
zi<aQpZl5==3l+Sd%g*hk2gmdaGLSS)8}J{Ne5tDod8s4A^!!^`i!lrPC+nXya@teb
zym%eRzD_%}B({c0xK-SAUHC!s>@(=V4^tuH%-Qp%`O8>aSfrSB${6i}ei^MzmkK|l
z`jtQDEMW!=2Lgi)M`<OFwndS*wc+@q1FpN)7cemb@BW;vA=()wi~Vz(6u`IK4*hd%
z7BhQpub))YM_bsGiuvYCfnOX%8YOHBQ?#`R*sSWJ)!dz(6aPwv!S7O>6!8fxv8N^K
z<7NkqrQyTb2=g7@wQX0h8jfKA1fC79R$4>##hmVH5-7f2_Xunr!Nv&;2JTPa)2?K&
z4bzcHa3ILL@xs|5ET6w5$>cqvb(MU=4U`gLP48(_!e$?qI67hfUs)w>1$Sz}T#E>m
z-;+~s3-@4(MtgMA9G}qK)ML)dz0`u5Dz<?4m0z*(J?bJM0tvM5IF~2R23p`0bTIo~
zLnrp=x9^QW{&ei9RV}siy(SDvZ+`qi?!ZdrBjz49J;hX#Vn~7Znh;Zz5?H$Y8S_&;
zbvQ%#CH8YOvC*(e1Kz!U%Fig;hT(i43^HD-#oByKR8xMd!xcrPFQSbtm`gc`Xn%Q&
zvDQB3E0a)%k?uM{)rn^8g!5~wb*DzGtvxm4>;W}6s+a1?5Y&uOMVvKq2R>qFGz^?x
z$E$**>q=#VTQde6R>`WzS}-7R9<~3V0!7hkym|S}*wr2{=EmLam_rwED6px3eVxH-
zkzosVqj59UY`g<A@DgHVKd1~J@8niKmT$%W<WDLx41B?KqDr*C=PJR-597}9!#n#k
z%^9=Kbz$YRBcBr%2=FwxJzS{oGj`7>(mYDG7mM>;GoP{`z}o4A+D9Gj7>7}f|JSH~
zY;4-nbtq2}CQV9MCk8vPBs>3wD()f7!KPk&AH5=QM5eC9a(}^!OrN^id>zL06+*p4
zeH5Tr=a-oC$*)-Q<kiQiCr2?Ae8`qot2}7hDkOYZ?84}gT?>V040EVB))uNO4@b|Q
z+Wr1<4<@<0CNgYr9Fx8n64?Jl4qk0W-2R!|hq(!zj3RYSVE^pdZkkHSL8@DCm3zqm
z=3$uAcz^pRwz8lp^)N#g$mB!GyI8+rIMYkn@g6f6SFuX{G@mT6<uXkd9~i-`gjXc@
z($8U4O2QJ{w`9OmU-pW_yHTv^C8Naepaty942u^FUIw;R?+UOU8N=8<^%JhMFJh~@
z?6aM@(hyM7B!t9%U`2MnM_#urVXMN7y91S_!L~G*agl2hbE=ZmHF*0MJAC;5hlwgF
zsN9ohokN+z$gvW74nJ40O6!cH<~CBGp<>?oU&aiUs*)VkzjqCL5Z+X8_DK>_D?c-s
zQ|GWerlB~)UmMt$PY;C*=_KL)DSwl)qy<d5FKeWrdmAg>+#GAgBw(&;Z=<TpA{P5*
zt1#jkJzQL+(>#4m9EPxWVMi91uot`2KhhuE4WADOc+~Zafy)q;_21NA>`q@vZs|To
zaPF3pj-rY|N?F{b1^ypa^ayhv3TFm)cTx7Ld!jIC^1NIqat-tOS1jf+!@6_bQPBkg
zqM+b8wlJW)iPd_>|9zOv0kg7tvOSq1AYH#5YR^pvf^A2I9;R~xF|-XpMFb*wGN^@R
z^icK>)-MF|!g?2@npKA|6sWLWe;&CT9vj=+jhgVoi6xnqxkO=zPx=-m6vYUOju{WV
zEd=3!W-9b}2t(a9!Nv7g%mBZS-_70m>lk|HTq5m-VN=_yx>uPE+8z`$IxY!Azl(XK
z&k14ZoXA?cHOv8D80*xJKN17=<!meBQ(<r{Vsr=?<c3wBcikCxB>^uHqPi|B0wWzS
ze*U|~3sveqBSitykWqDB;L;}%*oZM;J>ks{H|OHA-;iaYy!@WA^BYkZ`13ws+*1&E
z6%JK-%E-etU()_lEaGtE_xtvHsd!kV{hX81QH1PV*TP?~Bw&}2<&P`N!XRS$&cX7m
z63oFj^`6sGkcSJ{H<m005&nDQ{CZTtVKmnxxoL-^TaO$yy(FO}@mlh`!|E`jJ?Fw5
zDhsQ2mf`QTrGfX{msx|0n!u=`E2VW+9@xUd<hXle;7kvmZK_oZ44bAI^mcep)!-mI
zC(FU*cDe^oBuQ|dk}<Kgs0<bN_4LMf{zzqcsfjpmGBDqf4R=1N4mC|O+2aNTz};mu
z$i7K|NO#Gn6I3m*;cz%jkx>Rih3rw$8`?0pk9Vm*k_39?nJ1VTRAEHj<m%KuD#S5N
zMEvE@hHKyaTbjPA0jqPmX-O3oxK{EX?*5_!%_6nWJ!3S$VRc6K4UG!*LN5-f*Xx5R
zG5wf(q$Zqdvpt$(ONBx5xAMIAM$pDiH904$1>NIsH!7U9VT`A!Rc-{pJNfgkeb=>M
zywV~h<_8&4<Pw{MElpsuZS&YtgBIMocS?fgFA<JQAKIsX%@iv7`t<KNYJt*I12dys
zO|TmiWYM~12BB@s`_9E{K}JxYRsV(xXlVGv_qv!vB~NeB3Xc}>6-+$0J)-~?DY!}Q
zVRP^fI(eS;s3t7P<5eTROTpGQzs)mY3-C{J=;Bychg5I*^?5lwT&8<<hJ()nWDdQ&
zurRI)##3EdZ@bwbw3>aUro$XwHSPOnnyL&=s@|hq7niVi1a6CRZ*$1E3AE=IBEU~i
zDtGwucbc5vhwQi>Gk8`{-EVVU9yUf7Gk2xXA(GuIzEz4Dgs@(aNMDnI6LZ-yHe;;F
zeuV88!*x@59G-pj)_Exq{UiPdyTpUs%1<|i4VZvujFUj1uo!SxT37b+@*`GLwykXq
z6Oe5ZTzMFShl>W%>-|Fl$SNeP#XP|nx|TxdYxVizpK2<uniYpME|>NO%>xuC=ALef
z=Yl<Ztk-L*aVV3$mk{j=0CKB5oo38%X6&o_1`i&6(~08PTZF+m(Sl%+LOPIU_wP1V
z#G@18HBq}tjG#KO{LJY?e=*x99>?wY@o1Kzv-@|0A<&ztnfr?Tz*;W4ro~U-(5!my
znUom=NKTz~@188eR1;1d41JD6yDtxo?~^uw)F-WBLF8dtjDvn%`dJ*(iO3Fq;H?h>
zZ_IsMWanuL+QKZIrZ`j_mGFyFp$E=l2ZjQ!Ez^i%><2_8acG{UCb5r856T5DxqWWh
zpy^C4d9|?P(CWa{#pGaJnEmmG?w$@k8evJUXXeDAUr{TkZ;a~f<ech_lb?1Ye6*%H
zy*v)#jDFZ_IO)I_Wizg987B1H(EF3lAso_8WMtUvrou2UcbtYT3mPD+UwE90L&pdG
zr|-K`;drD$hsz;0q_n{M@FzVUeGyn+8K2RHrK&-<MBqS7KUmhSF5?mNzn{30C~a7F
zUlsDfbD_Pidy3|8Lg-HmzwwrYHhep*UfDImjY4iMIJSKhLJ~3Gi9hQpuwD=&k=((9
ztT(t;KBfsHi^6@+GXp8$`Zlp^v5Xg~?Fl73x+sFYvut#%<taeT3pg*7#)sULx)O00
zMbU#cyte&!GL%7yIb7sN0WX`*m!^s#y^K+7++#A-C#0wy^A$j63)&5*>c!FL{d|K=
z=gBbc(0JMEh#->BWVUAKlthM+Dp!j4lcA-L!`9CchsO8LrKV|1p*vGaM{|ig`f@J|
z26sHN<(#6${+2>z@_hW!Qe-%Kxp7)FNC?%*YZ|9jN~5(Yc0O(qGW@&f!0DeNjF=fY
z{;P|TLF|jWtat6`b?myLPu7Vb@guuR-W-udHIjRu$&tvA=6X&*e_0ewOMUTXq{^YQ
z9yBjw`<=O`Ez2M2i=($DX?73r^2l@V;~=RRGKk2Qn&NIqAg>$XXS61dN+ur!N7R#H
z-GYf4Jtc`yq^lp#paL?%&Qo^rQ(!AXdrxJd6iWHbe!Htm5hX5ni)jW^VC+*yoR6C{
z8t0T4ZA&5`2ePG=^Ed_699tn8FM~LFuIn}&RzmCHd+XDDwLvN3M*X=C8N^eV=D@?R
zi~`%KDz{g)p&|2FzSDJC<lK~VwX#wf-MuofT9-qGPiLrSmM}S_&XRj522(*%^f`&c
zwmQINur2p-UJl*$xxRuuRzcjF48sSwbm4;^i#9$}9_`w<B{w#sf+ocN2z2-A!jlY}
z**T&DqTF3<A7NBQw_-ernLE8kYb@CtLkh@2%z`;+Q3dUmQ!v+z)(1&h689f{Mf4jd
z<2(Lb1(lo6Hq|*Bz^{5a9N$Al#K|@>{9RWCS;!NK>zamehx?*r|Dq!5m(%eoy`_xk
zzIAS&+%klaD<l3h1OhU3yUn@pjS@N-9vyd+W(4m>XjML@1XO1AV)=X>0R`+Gj1~yQ
zpsQ?Pkja>Un6GDr=4L1&I`()|E+&9oZYp8M(gZ~EGH6ZzPXVc&A2lcK0WdAfw6+>o
zMB014T3Rg0p{5JmoLD$O@=bvYA_<D9s)lq$KTa0$yUu(#k-yXTJD(T%;uX=~ldR<`
zf-)$LOj|!z2SBP|I+u{3fQlu51Vt4{A$vB<RF{tcR~zmA22RVPQ)z3rCoW5%(E$=e
zPb0u7k!Zu?RC#ooWMAXeEs9$5+9PT!0Svh5(izXmp~VqhHLt_M2-SofBjo@@g<Zb7
z_CyvbguQqq!;42CiM>iZzq4mTlK*123<~`Bd|Z3CAQCg+@>I9lsrMgm<OkEqpn-?`
z4pb5O(FpHiP^2J$Wmx02_e#=exNmwq?LIG>Y`1)0^Adwr`$d7VLsE!U|9Hv|YaWyp
z<tN2Y#en<%zPV3alIW^lT3nqs7ZU0};%!^D)1$X0t=OZ)(Pj7aEcZMP)EPZpd|JT>
zL{dUXR3<UxeK^*ZX3mbxhaA0#S%$Fd)d64qJP{OnvhbwNUN&^S(;LUdVhGKrwS4UC
zh0&X!c&p_HtmxQqsf59K11OgFC=!+yLMm2?eNI-asJ8#t(3=T;*r-tS&1S))j8{>g
zji{{1(rT;F&ru(APS7y_om`%(3Ou9Z$%;Bnx(k1P(t`~VLvf@eh{BFowLfZLMSHz6
zY(5(4!JT@u^$;%s^kRE1pxKEHMHb~VT&mQCc3&1Jjo180u~2!rS(qKoy+0@Dt)&b8
z1J~Mp6#3EU;&<6+yE%}k^n7V&i4KUh(ANi+@*!|h&$8s_L{AP6k$8wYpeqqKm2r>{
zl^;2trDMT`=6df|yS=6Y<>~1aJSQJICA00`euo<=x6DXwnovRfGqR%$^CFF|-qh_l
z9`sW%@VZi`HhdBN&9D2B7v-Y<*82x}k<nJeP1&6sxFGKD7WRP`X?rJ>TBz|M%{S3f
z>f00uHNEQMJGi6MJJup0#E*tY6--m^Qs9I{>qsaQ9}@a6zw<J`0HR%tyq9fE0ij~^
z@0R9#=;YV5*<ndRgr4~B%AX;Fi(kS-L>3=%I>tKNWQaq~`M6fL95Q?eQ3x2`=0m<c
zWUgL+Jep8XJECt#hCNI^0azG6l6~qTdaqOnIdy(<dd5ozvmDvMST+IVSo$-)m`Ma(
zzLU;9(L;jv>%At$&jiqXm`6rPpeQowGmgLThy(+-PdS%*3nKafJ2ta9F%&71lfWK9
z0x61qQkDh|g{MocYD7w)c-|`(|GAUk>E$q+<6L-@HAez^eko+Ry*q=$ngp_<%L2mm
zLdZb5CqH#w3Z2@Vcq(W@0xrA?UkbA@y7bSo*sMz$HI7k7_nVUd*T_%Kk`_TidF_%G
z^)kqics{cD5D9`*H}5ywilV26=i>Zd%c8hdIzfdH64-Dbk50NNh77q*^(d9gp^ye`
zmYO^g+!}~C+8!21pC~QAg39Dkb>bGzcbEkES1E>r#yfZPTB*LeQ~_;t*IEjwli@at
z!?5Au9nN*k7mqwsM0upsTv<2C5OGsqrXMejq-71w2n7W6OwQ!gZF&mCZ3TYv8IVSG
zjFwdGR3$W+p2Zm*M*#^Jr9GqvGHC5_?HR#9Wu(5BrRJ2BHeBMSI2oOgMPl`d&XzlQ
z%bvsheRqpCoD40#K+uvyexA?1j!vo|SKB|a!SPh6_W0nX`$rBP45kRxomEAc12xsg
zQ3vJ?zTNRIl}Cq9+ULI*R7LKS)2yK+UAXRDzxR-*0wQ|ErvAdIA>RDsd!<G7fGhD4
zHHt|QmD3R~m`JLj5{szIZ`kyqY@<rs^tK|plVPov`&$)d&TfR`xAY;O_N{CKM?mCx
z)*1H%RkXsi%<j2h0B?T25;eR;KsPQ(%Dvj*QAOLNpZ}mC@G%*)&NdQIxRja1IKK+A
z^U%s0tTlpZ&L@KxeiM*FhO)IIvocBxZtOXkh`|qQRg<j^0`hD~P<+%(Ktqw&4vNbH
z;Jz8%@R}qb<rqb~gU1z-^?1QFYcRlrkrB7hQUdb7lZkvL<Wb*&2Ae|_0NeKuPOmx<
zP_#HzZg&5UPiq1KV?O}oJ7SY=epf_GmGWQQN@P%f`xAc^W@G5iHI#X=UlB=)W&hgZ
zl1BYSww1a<#vsNU|0(^U0$P>ke*0iS0uf$r4Bitq207R2!sStUq-~P>+ICVDoy4n8
z9OW>Ej{yt@^IY;sKlQ3>9=9-RH?6Db`VF8!J9qnox*YO)P|NT$7>ByE-oH<3255;D
zQ2%Hyi`vMIGI&t|gil?+Vvr4h<;-&MImsa5tq3_fRzAdD`(IR|C%~EX)RG84X_Wo%
z-}nn79`qqL%2RU3pQhmw@oV8yNMAO5>GxSqBv_%>GF`jl=Ls>!V0B5<y4Zd8<zF_`
zE8O4KqJqIc`bm!cLE`9PFQcc)9~QL1s7TgNH-gR_=In1xq9`jkbRzQ@Gn(=7mLRSh
z!e~Ns>{)#gG-N7uZpMrWJyEipcXT&|=iz+!Q{D@qPfWMPtfLr_vCYy!#(D#&6%#zT
zu#-C%*ri>B`52L#zMI;9MFTjHDr!_n#G!Xnwevo+45&Ezh$8O|eUNSVzG5gSh-O{}
zpCGU?B32sr>dGHIIHhG2_CZhpoj9^&?0J+Cam3P%Uw797Q%!rPH4;D4&)|BgHpPhI
z<NxxKTXi94?~56W(|m|~!us5sTqgAFV=&FqNEZ$j@L@CWdC}|_f~C_XX7o@zN0+T!
z2N(|u9%InsMas)2lSUCN$oSfs<_eV^F3gP|x%+_!Ilok1%gbX$VkMu@g~wE=$^PM1
z6TpLdxr_&5$Jx-m=#<BCN>te1bxG~GIuD95-``kf&Vkyr*|ynBv|;Mn1Yb2H4^lM0
zr=QfoiNro|`cQPWVb|MLzluq2G`y$BSi*xF-MNw(L-|Mn+OkLl-vT$<=DX7|dxHnr
zKgp~!aiIXcq}ihfygX>RHbtT5A}{LRrZ2nwmkgBwyI)EG54u5(-!pxl582i1t%*n@
zL+oks82)G;B=J&t^XFB5Bz{T$B&JISp3I|klztv$<>B<;d4T{D(G1umjg!EV+|O%o
z&WplWg%%Zh1(9Mo(-=x8ftA7Q1(yb1R3VMiH<Q4lii_0;oNRaU`5D7gdq+N$%X8}a
zpHLyx#FaZ3#zg|U)uNU|TYP9kmUI|5C5-rTJlNlK6CrpqQZ2EHAJO)YIr^OzMY{L<
zN9zlT;GB7?P$OOdMQ&s?U*-@;>gs{U7FUQ+Ku1>*?k|XfyuRX#kOaz~e!;+hj0k70
z6qT0w;!xX6>e`~Y)DBO6KjCyFLOZoOcRd7;^64rr4rxoH&Hgbv4Lc%`$7cy=vxJb^
z%NN<Vh%$&PEV<{Z3lSa;HCGFC2%}(Y>w5+|vgpOz-QijxL>T5c5uPit)0gtg#WF19
zkmN%iCXZ|)RG+^raVt^`adO!kjX2ArmJ2t-t-laq<>-Ky*s?exQGXx&bXEa<4YxK|
L6eq#|$@??~rv(OL

diff --git a/examples/ode/lorenz63/Lorenz63DataGeneration.m b/examples/ode/lorenz63/Lorenz63DataGeneration.m
deleted file mode 100644
index be418eeb..00000000
--- a/examples/ode/lorenz63/Lorenz63DataGeneration.m
+++ /dev/null
@@ -1,43 +0,0 @@
-% Numerical solution to the Lorenz63 equation using the 4th order Runge-Kutta method
-h = 0.01;
-t_max = 2000;
-
-t_vals = 0:h:t_max;
-
-[~,size_t] = size(t_vals);
-
-x = zeros(3,size_t);
-x(1,1) = 1;
-
-A = [0,0,0,0;1/2,0,0,0;0,1/2,0,0;0,0,1,0];
-b = [1/6, 1/3, 1/3, 1/6];
-c = [0, 1/2, 1/2, 1];
-
-for n=1:size_t-1
-    k_1 = x(:,n);
-    k_2 = x(:,n) + h*A(2,1)*f(k_1);
-    k_3 = x(:,n) + h*A(3,1)*f(k_1) + h*A(3,2)*f(k_2);
-    k_4 = x(:,n) + h*A(4,1)*f(k_1) + h*A(4,2)*f(k_2) + h*A(4,3)*f(k_3);
-    x(:,n+1) = x(:,n) + h*(b(1)*f(k_1) + b(2)*f(k_2) + b(3)*f(k_3) + b(4)*f(k_4));
-end
-
-% for n=1:size_t-1
-%     x(:,n+1) = x(:,n) + h*f(x(:,n));
-% end
-
-plot3(x(1,:),x(2,:),x(3,:));
-xlabel("X");
-ylabel("Y");
-zlabel("Z");
-
-function y_prime = f(y)
-
-sigma = 10;
-rho = 28;
-beta = 2.7;
-
-y_prime = zeros(3,1);
-y_prime(1) = sigma*(y(2)-y(1));
-y_prime(2) = y(1)*(rho-y(3))-y(2);
-y_prime(3) = y(1)*y(2)-beta*y(3);
-end
diff --git a/examples/ode/lorenz63/Lorenz63Test.ipynb b/examples/ode/lorenz63/Lorenz63Test.ipynb
deleted file mode 100644
index 3919e662..00000000
--- a/examples/ode/lorenz63/Lorenz63Test.ipynb
+++ /dev/null
@@ -1,276 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Lorenz 63 equations\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"sigma\"]*(prev_val[\"y\"]-prev_val[\"x\"])\n",
-    "\n",
-    "def y_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x\"]*(coeffs[\"rho\"]-prev_val[\"z\"])-prev_val[\"y\"]\n",
-    "\n",
-    "def z_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x\"]*prev_val[\"y\"]-coeffs[\"beta\"]*prev_val[\"z\"]\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
-    "\n",
-    "# Initial conditions [1,0,0]\n",
-    "ode_init = {\"x\":1, \"y\":0, \"z\":0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"sigma\": 10., \"rho\": 28., \"beta\": 2.7}\n"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's Method"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=torch.optim.SGD,\n",
-    "    optimizer_args={\"lr\": 0.01}\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(20000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 9.0000e-01,  2.8000e-01,  0.0000e+00],\n",
-       "        [ 8.3800e-01,  5.2920e-01,  2.5200e-03],\n",
-       "        ...,\n",
-       "        [-8.3179e+00, -9.0258e+00,  2.5758e+01],\n",
-       "        [-8.3886e+00, -9.1220e+00,  2.5814e+01],\n",
-       "        [-8.4620e+00, -9.2142e+00,  2.5882e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 25
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stderr",
-     "text": [
-      "<ipython-input-26-f8e7389386ef>:6: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T17:33:15.618079</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"me74c2e7a47\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"37.767057\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(27.214713 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"77.52185\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −15 -->\n      <g transform=\"translate(66.969506 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.276643\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −10 -->\n      <g transform=\"translate(106.724299 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"157.031435\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −5 -->\n      <g transform=\"translate(149.660341 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"196.786228\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0 -->\n      <g transform=\"translate(193.604978 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"236.54102\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5 -->\n      <g transform=\"translate(233.35977 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"276.295813\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(269.933313 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.050606\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 15 -->\n      <g transform=\"translate(309.688106 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"355.805398\" xlink:href=\"#me74c2e7a47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(349.442898 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m0ab2e2f9ff\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ab2e2f9ff\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ab2e2f9ff\" y=\"216.600695\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.399914)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ab2e2f9ff\" y=\"171.98539\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.784609)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ab2e2f9ff\" y=\"127.370085\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 131.169304)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ab2e2f9ff\" y=\"82.75478\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 86.553999)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ab2e2f9ff\" y=\"38.139475\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 41.938694)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pa813d11797)\" d=\"M 204.737186 261.216 \nL 203.164969 261.15879 \nL 203.303808 261.125369 \nL 214.436239 259.523803 \nL 218.779711 258.558828 \nL 224.206636 257.059194 \nL 227.399281 256.022966 \nL 230.955538 254.733463 \nL 234.911526 253.130537 \nL 239.305282 251.140816 \nL 244.176015 248.675379 \nL 249.562962 245.627371 \nL 255.503664 241.869793 \nL 262.031455 237.253863 \nL 269.171952 231.608621 \nL 276.93819 224.742736 \nL 285.324202 216.449933 \nL 294.296608 206.51995 \nL 303.784201 194.757297 \nL 313.665514 181.010321 \nL 323.754993 165.212473 \nL 333.789201 147.435927 \nL 343.415693 127.953671 \nL 352.188426 107.299972 \nL 359.575449 86.310573 \nL 364.984621 66.116235 \nL 367.812273 48.061506 \nL 367.515034 33.532616 \nL 363.697243 23.708991 \nL 356.196343 19.296 \nL 345.141741 20.330541 \nL 330.96343 26.146321 \nL 314.340375 35.52848 \nL 296.099089 47.0029 \nL 277.091807 59.147936 \nL 258.088429 70.822606 \nL 239.706535 81.263729 \nL 222.385771 90.068913 \nL 206.397982 97.115842 \nL 191.878025 102.466295 \nL 178.861247 106.284646 \nL 167.318437 108.780829 \nL 157.183827 110.176095 \nL 148.375205 110.6854 \nL 140.806961 110.509998 \nL 134.397497 109.835316 \nL 129.072561 108.831019 \nL 124.765728 107.651337 \nL 121.417165 106.434944 \nL 118.971314 105.304108 \nL 117.374276 104.36331 \nL 116.571216 103.697682 \nL 116.504231 103.37171 \nL 117.110871 103.428588 \nL 118.323462 103.890529 \nL 120.069247 104.760202 \nL 122.27131 106.023126 \nL 124.850077 107.65086 \nL 130.817914 111.839587 \nL 137.358933 116.960364 \nL 143.940367 122.644099 \nL 147.112035 125.597516 \nL 150.149335 128.582572 \nL 153.021288 131.573951 \nL 155.704563 134.551305 \nL 158.182735 137.498672 \nL 160.445429 140.403771 \nL 162.487399 143.257369 \nL 164.307612 146.052616 \nL 165.908361 148.784483 \nL 167.294461 151.449303 \nL 168.472517 154.044368 \nL 169.450291 156.567611 \nL 170.236171 159.017365 \nL 170.838718 161.392148 \nL 171.266306 163.69054 \nL 171.526836 165.911026 \nL 171.627514 168.05192 \nL 171.574692 170.111266 \nL 171.37375 172.086758 \nL 171.029021 173.975654 \nL 170.543749 175.774723 \nL 169.920066 177.480108 \nL 169.159002 179.087283 \nL 168.260505 180.590903 \nL 167.223475 181.984732 \nL 166.045817 183.261484 \nL 164.724505 184.412692 \nL 163.255659 185.428554 \nL 161.63465 186.297759 \nL 159.856206 187.007323 \nL 157.914565 187.542404 \nL 155.803653 187.886119 \nL 153.517294 188.019398 \nL 151.049499 187.920839 \nL 148.394776 187.566606 \nL 145.548554 186.930447 \nL 142.507679 185.983786 \nL 139.271002 184.695971 \nL 135.840106 183.034794 \nL 132.220146 180.967245 \nL 128.420819 178.460655 \nL 124.457472 175.484295 \nL 120.352314 172.011515 \nL 116.1357 168.022451 \nL 111.847422 163.507369 \nL 107.537944 158.470558 \nL 103.269343 152.934653 \nL 99.115899 146.945045 \nL 95.164032 140.573939 \nL 91.511353 133.923383 \nL 88.264587 127.126461 \nL 85.536154 120.345758 \nL 83.439338 113.768326 \nL 82.082078 107.596688 \nL 81.559719 102.036096 \nL 81.947297 97.278905 \nL 83.292212 93.487921 \nL 85.608242 90.78109 \nL 88.871902 89.220258 \nL 93.021857 88.806024 \nL 97.961824 89.479923 \nL 103.566589 91.133357 \nL 109.69059 93.621677 \nL 116.177738 96.780679 \nL 122.871407 100.442656 \nL 129.623271 104.449888 \nL 136.300285 108.663956 \nL 142.789351 112.970883 \nL 148.99968 117.282421 \nL 154.863134 121.534477 \nL 160.333016 125.683872 \nL 165.381814 129.704303 \nL 169.998382 133.582281 \nL 174.18491 137.313433 \nL 177.953985 140.899486 \nL 181.325893 144.345887 \nL 184.32628 147.660064 \nL 186.984181 150.850229 \nL 189.330427 153.924603 \nL 191.396406 156.890946 \nL 193.213119 159.756321 \nL 194.810499 162.527001 \nL 197.45905 167.80542 \nL 199.546568 172.761525 \nL 201.245759 177.421238 \nL 206.652594 193.397925 \nL 208.110752 196.760926 \nL 209.755063 199.868326 \nL 211.651555 202.707232 \nL 212.715738 204.019372 \nL 213.869281 205.254916 \nL 215.121815 206.408898 \nL 216.483539 207.475214 \nL 217.965294 208.446417 \nL 219.57862 209.313491 \nL 221.335818 210.065578 \nL 223.249966 210.689662 \nL 225.334942 211.170221 \nL 227.605392 211.488807 \nL 230.076673 211.623605 \nL 232.764725 211.548919 \nL 235.685894 211.234656 \nL 238.856629 210.645773 \nL 242.29309 209.741754 \nL 246.010585 208.476145 \nL 250.022814 206.796255 \nL 254.340872 204.643081 \nL 258.971976 201.951669 \nL 263.91783 198.652074 \nL 269.172619 194.671188 \nL 274.720546 189.935752 \nL 280.532976 184.376909 \nL 286.565136 177.936628 \nL 292.752581 170.576321 \nL 299.007617 162.287683 \nL 305.216058 153.105442 \nL 311.234926 143.12118 \nL 316.891883 132.496418 \nL 321.987278 121.472254 \nL 326.299873 110.372056 \nL 329.596965 99.593269 \nL 331.6494 89.585001 \nL 332.250778 80.810604 \nL 331.23924 73.697811 \nL 328.518913 68.583995 \nL 324.076981 65.667621 \nL 317.992728 64.978097 \nL 310.43546 66.372989 \nL 301.650867 69.564159 \nL 291.937843 74.166354 \nL 281.619976 79.755726 \nL 271.016934 85.924216 \nL 250.077155 98.667108 \nL 200.652263 129.271151 \nL 189.68032 136.370465 \nL 180.993938 142.327685 \nL 174.120448 147.385183 \nL 166.223527 153.634116 \nL 160.084242 158.525692 \nL 156.471557 161.07712 \nL 154.723508 162.1365 \nL 152.984111 163.046654 \nL 151.234462 163.802307 \nL 149.458417 164.397134 \nL 147.642424 164.823878 \nL 145.775392 165.07448 \nL 143.84861 165.140243 \nL 141.855714 165.011977 \nL 139.792694 164.680243 \nL 137.65795 164.135631 \nL 135.452392 163.369061 \nL 133.179579 162.372244 \nL 130.845886 161.138151 \nL 128.460711 159.661617 \nL 126.036637 157.940038 \nL 123.589663 155.974111 \nL 121.139338 153.768688 \nL 118.708856 151.333639 \nL 116.325069 148.68469 \nL 114.018366 145.844223 \nL 111.822385 142.841849 \nL 109.773544 139.714783 \nL 107.910326 136.507846 \nL 106.272343 133.272979 \nL 104.899137 130.068288 \nL 103.828774 126.956429 \nL 103.096239 124.002501 \nL 102.731773 121.271426 \nL 102.759191 118.824982 \nL 103.19432 116.718773 \nL 104.043756 114.999373 \nL 105.303966 113.701865 \nL 106.960936 112.84819 \nL 108.99035 112.446311 \nL 111.358373 112.490425 \nL 114.022984 112.962067 \nL 116.935675 113.832064 \nL 120.043535 115.062957 \nL 123.291378 116.611721 \nL 126.623881 118.432507 \nL 129.987518 120.479028 \nL 133.332199 122.706637 \nL 136.612533 125.073787 \nL 139.788717 127.543062 \nL 142.827014 130.081648 \nL 145.699881 132.661464 \nL 148.385817 135.258963 \nL 150.868968 137.854735 \nL 153.138591 140.432993 \nL 155.188402 142.981042 \nL 157.015883 145.488687 \nL 158.621584 147.947751 \nL 160.008457 150.351603 \nL 161.181243 152.694756 \nL 162.145912 154.972554 \nL 162.909183 157.180871 \nL 163.478099 159.315894 \nL 163.85971 161.373929 \nL 164.060771 163.351259 \nL 164.087545 165.243976 \nL 163.945629 167.047887 \nL 163.639841 168.758412 \nL 163.174146 170.370446 \nL 162.551628 171.878279 \nL 161.774469 173.275494 \nL 160.843979 174.554858 \nL 159.760634 175.708203 \nL 158.524162 176.726319 \nL 157.13363 177.598861 \nL 155.587563 178.314211 \nL 153.884104 178.859393 \nL 152.021193 179.219992 \nL 149.996788 179.380084 \nL 147.809124 179.322219 \nL 145.457025 179.027443 \nL 142.940275 178.475436 \nL 140.260049 177.644694 \nL 137.419397 176.512913 \nL 134.423831 175.0575 \nL 131.281963 173.256321 \nL 128.006224 171.088698 \nL 124.613628 168.5367 \nL 121.126584 165.586789 \nL 117.573692 162.231749 \nL 113.990507 158.47294 \nL 110.42016 154.322822 \nL 106.913742 149.807519 \nL 103.530375 144.969281 \nL 100.336816 139.868545 \nL 97.406457 134.58514 \nL 94.817597 129.218314 \nL 92.650931 123.885042 \nL 90.986264 118.716415 \nL 89.898461 113.851874 \nL 89.452928 109.431531 \nL 89.700933 105.58714 \nL 90.675209 102.432512 \nL 92.386403 100.054818 \nL 94.820805 98.507722 \nL 97.939804 97.807765 \nL 101.681238 97.934287 \nL 105.962615 98.833132 \nL 110.685825 100.423356 \nL 115.742882 102.605803 \nL 121.021997 105.272384 \nL 126.41338 108.314514 \nL 131.814256 111.630129 \nL 137.132724 115.128465 \nL 142.290293 118.732754 \nL 147.223166 122.381073 \nL 151.882416 126.025707 \nL 156.233258 129.631621 \nL 160.253751 133.174437 \nL 163.933091 136.638282 \nL 167.269774 140.013789 \nL 170.269733 143.296309 \nL 172.944599 146.484483 \nL 175.310124 149.579102 \nL 177.384821 152.582249 \nL 179.188824 155.496717 \nL 180.742954 158.325604 \nL 182.067983 161.072022 \nL 183.184075 163.73896 \nL 184.110373 166.329184 \nL 184.864704 168.845211 \nL 185.463397 171.289289 \nL 185.921175 173.663408 \nL 186.464598 178.208521 \nL 186.579909 182.491799 \nL 186.327175 186.521122 \nL 185.743874 190.300966 \nL 184.847351 193.831983 \nL 183.636966 197.1101 \nL 182.095713 200.125072 \nL 181.191481 201.528474 \nL 180.191225 202.858318 \nL 179.088571 204.110477 \nL 177.876208 205.279858 \nL 176.545891 206.360231 \nL 175.088421 207.344024 \nL 173.493646 208.222101 \nL 171.750449 208.983485 \nL 169.846775 209.615057 \nL 167.769638 210.101191 \nL 165.505197 210.423368 \nL 163.038834 210.559719 \nL 160.355305 210.484548 \nL 157.438952 210.167813 \nL 154.274014 209.574611 \nL 150.845048 208.664673 \nL 147.137512 207.391951 \nL 143.138523 205.704342 \nL 138.837871 203.543697 \nL 134.229303 200.846222 \nL 129.312149 197.543512 \nL 124.093309 193.564443 \nL 118.589695 188.838235 \nL 112.831033 183.299045 \nL 106.863075 176.89236 \nL 100.751009 169.583495 \nL 94.582908 161.368211 \nL 88.472753 152.285082 \nL 82.562506 142.428746 \nL 77.022458 131.962205 \nL 72.048954 121.125663 \nL 67.858553 110.238318 \nL 64.677899 99.689599 \nL 62.728968 89.916726 \nL 62.210377 81.368074 \nL 63.276388 74.454986 \nL 66.016445 69.49957 \nL 70.439094 66.688869 \nL 76.463778 66.047051 \nL 83.923231 67.433569 \nL 92.576924 70.568779 \nL 102.133511 75.080568 \nL 112.278222 80.560096 \nL 122.700312 86.613501 \nL 143.285281 99.153114 \nL 178.482471 121.037664 \nL 191.954416 129.582418 \nL 202.782125 136.735854 \nL 211.361314 142.776725 \nL 218.154781 147.937352 \nL 223.612342 152.379897 \nL 232.053149 159.454295 \nL 235.644864 162.145886 \nL 237.386987 163.277352 \nL 239.123788 164.260681 \nL 240.874498 165.090359 \nL 242.655691 165.759732 \nL 244.481435 166.26114 \nL 246.363428 166.585998 \nL 248.311074 166.724918 \nL 250.331522 166.667869 \nL 252.429641 166.404384 \nL 254.607967 165.923765 \nL 256.866573 165.215443 \nL 259.202927 164.269344 \nL 261.611681 163.076396 \nL 264.084435 161.629118 \nL 266.609518 159.922337 \nL 269.171717 157.954002 \nL 271.752046 155.726062 \nL 274.327591 153.245495 \nL 276.871387 150.525252 \nL 279.352453 147.585263 \nL 281.735983 144.453245 \nL 283.983738 141.165312 \nL 286.054659 137.766234 \nL 287.905805 134.309213 \nL 289.493531 130.855077 \nL 290.774972 127.470823 \nL 291.709743 124.227464 \nL 292.261849 121.197238 \nL 292.401589 118.450343 \nL 292.107436 116.051426 \nL 291.36763 114.056107 \nL 290.181419 112.507921 \nL 288.559693 111.436023 \nL 286.525062 110.853875 \nL 284.111156 110.75906 \nL 281.361355 111.134338 \nL 278.326933 111.9496 \nL 275.064797 113.164649 \nL 271.635047 114.732338 \nL 268.098495 116.601748 \nL 264.514401 118.721138 \nL 260.938495 121.040421 \nL 257.421462 123.513007 \nL 254.007832 126.097026 \nL 250.735376 128.755957 \nL 247.634897 131.458789 \nL 244.730384 134.179798 \nL 242.039421 136.898049 \nL 239.573809 139.596822 \nL 237.340294 142.262935 \nL 235.341362 144.886091 \nL 233.576025 147.458265 \nL 232.040573 149.973177 \nL 230.729302 152.425841 \nL 229.635114 154.812181 \nL 228.750078 157.128732 \nL 228.065898 159.372381 \nL 227.574286 161.540175 \nL 227.267281 163.629151 \nL 227.137481 165.636222 \nL 227.178238 167.558017 \nL 227.383778 169.390827 \nL 227.749293 171.130455 \nL 228.270991 172.772162 \nL 228.946108 174.310545 \nL 229.77291 175.739416 \nL 230.750644 177.051739 \nL 231.879488 178.239462 \nL 233.160482 179.293422 \nL 234.59541 180.203219 \nL 236.186696 180.957075 \nL 237.937247 181.541708 \nL 239.850271 181.942226 \nL 241.929063 182.142025 \nL 244.176743 182.122716 \nL 246.595945 181.864132 \nL 249.188448 181.344352 \nL 251.95473 180.539888 \nL 254.893464 179.425994 \nL 258.000895 177.977117 \nL 261.270167 176.167615 \nL 264.69053 173.972761 \nL 268.246493 171.370046 \nL 271.916878 168.340918 \nL 275.673886 164.872852 \nL 279.482161 160.961881 \nL 283.297981 156.61547 \nL 287.068608 151.855573 \nL 290.732016 146.721708 \nL 294.217082 141.273683 \nL 297.444437 135.593539 \nL 300.328116 129.786208 \nL 302.778146 123.9783 \nL 304.704125 118.314545 \nL 306.019688 112.951685 \nL 306.647749 108.049795 \nL 306.52601 103.761709 \nL 305.612334 100.221489 \nL 303.889251 97.533549 \nL 301.367012 95.763873 \nL 298.08466 94.93491 \nL 294.108756 95.025027 \nL 289.529875 95.972616 \nL 284.457136 97.684102 \nL 279.011492 100.044385 \nL 273.318518 102.928133 \nL 267.501485 106.210135 \nL 261.675458 109.773706 \nL 255.942763 113.516337 \nL 250.390071 117.352694 \nL 245.087014 121.215313 \nL 240.086125 125.053559 \nL 235.4238 128.831497 \nL 231.12195 132.525343 \nL 227.190046 136.120748 \nL 223.627319 139.610404 \nL 220.424913 142.991935 \nL 217.567888 146.266252 \nL 215.03699 149.436292 \nL 212.810163 152.506088 \nL 210.8638 155.480158 \nL 209.173744 158.363072 \nL 207.716058 161.159238 \nL 206.467607 163.872767 \nL 205.406472 166.507385 \nL 204.512228 169.06648 \nL 203.151089 173.969885 \nL 202.255016 178.60372 \nL 201.722175 182.98497 \nL 201.475752 187.127897 \nL 201.460666 191.044718 \nL 201.640166 194.746026 \nL 201.992766 198.240907 \nL 202.50976 201.536886 \nL 203.193399 204.63969 \nL 204.05571 207.552797 \nL 205.117943 210.276767 \nL 206.410577 212.808218 \nL 207.97384 215.138342 \nL 209.858695 217.250746 \nL 210.940915 218.217362 \nL 212.128227 219.118322 \nL 213.430694 219.947822 \nL 214.859361 220.698725 \nL 216.426318 221.362307 \nL 218.144753 221.927942 \nL 220.029004 222.382747 \nL 222.094584 222.711162 \nL 224.358199 222.894448 \nL 226.837721 222.910135 \nL 229.552115 222.731364 \nL 232.5213 222.326162 \nL 235.765917 221.656679 \nL 239.30698 220.678336 \nL 243.165357 219.339021 \nL 247.361024 217.578327 \nL 251.912082 215.327002 \nL 256.833376 212.506754 \nL 262.13473 209.030654 \nL 267.818636 204.80448 \nL 273.877358 199.729444 \nL 280.289362 193.706801 \nL 287.015074 186.645015 \nL 293.992022 178.470032 \nL 301.129585 169.139144 \nL 308.303734 158.658452 \nL 315.352565 147.103215 \nL 322.073538 134.639066 \nL 328.223919 121.540519 \nL 333.526024 108.201199 \nL 337.678845 95.129237 \nL 340.377138 82.921111 \nL 341.33778 72.210367 \nL 340.33143 63.593604 \nL 337.214971 57.544624 \nL 331.958741 54.335636 \nL 324.661632 53.987606 \nL 315.548932 56.266349 \nL 304.951736 60.727931 \nL 293.27121 66.800635 \nL 280.935371 73.879748 \nL 232.463259 102.829166 \nL 221.846453 108.880477 \nL 212.09422 114.275096 \nL 195.260756 123.206692 \nL 181.792766 130.042274 \nL 159.55458 140.986191 \nL 149.224547 145.877512 \nL 145.421818 147.452053 \nL 142.158568 148.529312 \nL 139.245968 149.138155 \nL 136.552623 149.294563 \nL 133.995148 149.009982 \nL 131.530286 148.298001 \nL 129.14844 147.180125 \nL 126.868163 145.690784 \nL 124.731076 143.881555 \nL 122.796596 141.823962 \nL 121.135895 139.610216 \nL 119.824852 137.351122 \nL 118.935971 135.170666 \nL 118.529626 133.197311 \nL 118.520853 132.326948 \nL 118.645602 131.552864 \nL 118.904465 130.887303 \nL 119.296017 130.340675 \nL 119.816746 129.921308 \nL 120.461072 129.635247 \nL 121.22142 129.486182 \nL 122.088349 129.475409 \nL 123.050774 129.601897 \nL 125.210904 130.251816 \nL 127.589892 131.387946 \nL 130.067522 132.939186 \nL 132.524907 134.82062 \nL 134.852583 136.941951 \nL 136.956197 139.214005 \nL 138.759576 141.552818 \nL 140.205386 143.881547 \nL 141.253979 146.130718 \nL 141.881165 148.237361 \nL 142.075568 150.14372 \nL 142.009804 151.004816 \nL 141.836135 151.795843 \nL 141.555726 152.510453 \nL 141.170176 153.142425 \nL 140.681506 153.68565 \nL 140.09217 154.134137 \nL 139.405051 154.482022 \nL 138.623498 154.72362 \nL 137.751364 154.85347 \nL 136.793057 154.866413 \nL 135.753611 154.757668 \nL 134.638746 154.52297 \nL 132.209599 153.662002 \nL 129.568351 152.26528 \nL 126.793944 150.333886 \nL 123.983383 147.895374 \nL 121.252182 145.011098 \nL 118.732362 141.782052 \nL 116.567174 138.351054 \nL 115.663234 136.615144 \nL 114.901946 134.899079 \nL 114.299666 133.229571 \nL 113.871104 131.633842 \nL 113.628808 130.138876 \nL 113.582676 128.770577 \nL 113.739484 127.552958 \nL 114.102533 126.507321 \nL 114.671382 125.651535 \nL 115.4417 124.999489 \nL 116.405255 124.560661 \nL 117.55008 124.339928 \nL 118.860729 124.337605 \nL 120.318731 124.549624 \nL 121.903098 124.967977 \nL 123.590922 125.581228 \nL 125.358053 126.375174 \nL 127.179733 127.33351 \nL 130.888478 129.671728 \nL 134.529734 132.448279 \nL 137.939887 135.519155 \nL 140.987579 138.75415 \nL 143.576226 142.041223 \nL 145.641859 145.286276 \nL 147.147995 148.410397 \nL 147.685808 149.905644 \nL 148.079282 151.345935 \nL 148.328766 152.72391 \nL 148.43518 154.03242 \nL 148.399891 155.264437 \nL 148.224588 156.412965 \nL 147.911206 157.470941 \nL 147.461863 158.431217 \nL 146.878824 159.286459 \nL 146.164499 160.029134 \nL 145.321451 160.65149 \nL 144.352445 161.145537 \nL 143.260512 161.503081 \nL 142.049052 161.715747 \nL 140.721929 161.775076 \nL 139.283627 161.672602 \nL 137.739391 161.400028 \nL 136.095421 160.949406 \nL 134.359053 160.313375 \nL 132.538973 159.485492 \nL 130.645432 158.460559 \nL 128.690449 157.235069 \nL 126.68803 155.807687 \nL 124.654339 154.179783 \nL 122.60785 152.355994 \nL 120.56942 150.344795 \nL 118.56233 148.159072 \nL 116.612192 145.816609 \nL 114.746745 143.340475 \nL 112.995538 140.759221 \nL 111.389417 138.106868 \nL 109.95988 135.42257 \nL 108.738273 132.74999 \nL 107.754814 130.136246 \nL 107.037506 127.630575 \nL 106.610998 125.282615 \nL 106.495409 123.140478 \nL 106.70525 121.24873 \nL 107.248485 119.646414 \nL 108.125794 118.365246 \nL 109.330218 117.428244 \nL 110.847085 116.848852 \nL 112.654343 116.630613 \nL 114.723285 116.7675 \nL 117.019554 117.244809 \nL 119.50444 118.040465 \nL 122.136317 119.126642 \nL 124.872143 120.471565 \nL 127.668903 122.041264 \nL 130.484953 123.801153 \nL 133.281149 125.7174 \nL 136.021703 127.757948 \nL 138.674833 129.89326 \nL 141.213132 132.096735 \nL 143.613688 134.344869 \nL 145.858028 136.617246 \nL 147.93188 138.89633 \nL 149.824836 141.167201 \nL 151.529919 143.417207 \nL 153.0431 145.635624 \nL 154.362821 147.813306 \nL 155.48952 149.942355 \nL 156.425163 152.015853 \nL 157.172844 154.02757 \nL 157.736403 155.971746 \nL 158.120126 157.842917 \nL 158.328447 159.635705 \nL 158.365757 161.344707 \nL 158.236212 162.96434 \nL 157.943606 164.488724 \nL 157.491283 165.911579 \nL 156.882084 167.226122 \nL 156.118328 168.424985 \nL 155.201824 169.500091 \nL 154.133913 170.4426 \nL 152.915548 171.242843 \nL 151.547385 171.890226 \nL 150.029927 172.373211 \nL 148.363684 172.679288 \nL 146.549366 172.794977 \nL 144.588135 172.705897 \nL 142.481864 172.396868 \nL 140.233468 171.852086 \nL 137.847258 171.055425 \nL 135.329348 169.99082 \nL 132.688123 168.642791 \nL 129.934713 166.997135 \nL 127.083509 165.041812 \nL 124.152718 162.767987 \nL 121.164876 160.17128 \nL 118.147325 157.253212 \nL 115.132595 154.022719 \nL 112.158682 150.497791 \nL 109.269072 146.706978 \nL 106.512515 142.690709 \nL 103.942415 138.502169 \nL 101.615853 134.207531 \nL 99.592088 129.885312 \nL 97.930599 125.624645 \nL 96.688663 121.522351 \nL 95.918579 117.678888 \nL 95.66469 114.193266 \nL 95.960436 111.157348 \nL 96.825666 108.650154 \nL 98.264591 106.732698 \nL 100.264538 105.444041 \nL 102.795778 104.79916 \nL 105.812502 104.788846 \nL 109.254855 105.381648 \nL 113.051915 106.527598 \nL 117.125293 108.163076 \nL 121.392977 110.216261 \nL 125.773141 112.612318 \nL 130.18754 115.278031 \nL 134.564288 118.145253 \nL 138.839891 121.153362 \nL 142.960495 124.250457 \nL 146.882414 127.393665 \nL 150.572036 130.548754 \nL 154.005247 133.689231 \nL 157.166523 136.795261 \nL 160.047807 139.852445 \nL 162.647313 142.850708 \nL 164.968301 145.783259 \nL 167.017942 148.645716 \nL 168.80626 151.435423 \nL 170.345213 154.150884 \nL 171.647898 156.791331 \nL 172.727895 159.356417 \nL 173.598735 161.845996 \nL 174.273475 164.259958 \nL 174.764378 166.598081 \nL 175.082674 168.859975 \nL 175.238396 171.045001 \nL 175.240267 173.152222 \nL 175.09564 175.180329 \nL 174.810465 177.127602 \nL 174.389292 178.991847 \nL 173.83529 180.770313 \nL 173.150278 182.459649 \nL 172.334768 184.05577 \nL 171.388023 185.553782 \nL 170.308107 186.947841 \nL 169.091955 188.231034 \nL 167.735434 189.395212 \nL 166.233428 190.43082 \nL 164.579923 191.326695 \nL 162.768119 192.069872 \nL 160.790552 192.64534 \nL 158.639251 193.03582 \nL 156.305937 193.221527 \nL 153.782277 193.179941 \nL 151.060175 192.885611 \nL 148.132186 192.310037 \nL 144.99199 191.421604 \nL 141.634991 190.185711 \nL 138.059067 188.565074 \nL 134.265453 186.520331 \nL 130.25981 184.011051 \nL 126.053455 180.99725 \nL 121.664799 177.441483 \nL 117.120895 173.311737 \nL 112.459098 168.585121 \nL 107.72876 163.252419 \nL 102.992736 157.323391 \nL 98.328595 150.832563 \nL 93.829195 143.8451 \nL 89.602321 136.461876 \nL 85.769092 128.822809 \nL 82.460649 121.107171 \nL 79.813039 113.529646 \nL 77.960126 106.331092 \nL 77.024824 99.763838 \nL 77.109226 94.072095 \nL 78.284662 89.469746 \nL 80.583024 86.118611 \nL 83.990731 84.11114 \nL 88.446623 83.461051 \nL 93.844413 84.103958 \nL 100.039713 85.908132 \nL 106.860648 88.692981 \nL 114.120602 92.251514 \nL 121.631306 96.372588 \nL 129.214523 100.85929 \nL 136.711206 105.541579 \nL 143.987485 110.282721 \nL 150.937522 114.98026 \nL 157.483671 119.563241 \nL 163.574611 123.987184 \nL 169.182228 128.228279 \nL 174.297823 132.27777 \nL 178.928206 136.137078 \nL 183.091973 139.813904 \nL 186.81621 143.319345 \nL 190.133668 146.665825 \nL 193.080474 149.865802 \nL 195.694318 152.930926 \nL 198.013071 155.871646 \nL 200.073781 158.697043 \nL 203.56118 164.031209 \nL 206.415523 168.979698 \nL 214.322574 183.563833 \nL 216.613524 186.954521 \nL 217.839217 188.510629 \nL 219.135401 189.968284 \nL 220.514354 191.321968 \nL 221.988147 192.564958 \nL 223.568761 193.689165 \nL 225.268167 194.684944 \nL 227.098404 195.540879 \nL 229.0716 196.243537 \nL 231.199967 196.777218 \nL 233.495755 197.123673 \nL 235.971133 197.261811 \nL 238.638022 197.16743 \nL 241.507848 196.812942 \nL 244.591179 196.167171 \nL 247.89726 195.195249 \nL 251.433413 193.858648 \nL 255.204257 192.115442 \nL 259.210753 189.920906 \nL 263.449042 187.228533 \nL 267.909036 183.991658 \nL 272.572828 180.16581 \nL 277.412863 175.711947 \nL 282.389954 170.600744 \nL 287.451295 164.81793 \nL 292.528553 158.370654 \nL 297.536308 151.294545 \nL 302.371247 143.66095 \nL 306.912352 135.583378 \nL 311.022711 127.221821 \nL 314.553288 118.783378 \nL 317.348994 110.517504 \nL 319.257214 102.704533 \nL 320.138444 95.637181 \nL 319.878239 89.595944 \nL 318.399256 84.821376 \nL 315.671505 81.487482 \nL 311.719168 79.681521 \nL 306.622309 79.394625 \nL 300.512814 80.525598 \nL 293.564771 82.897283 \nL 285.980736 86.281793 \nL 277.975918 90.429265 \nL 269.762616 95.094551 \nL 261.536969 100.057779 \nL 253.469288 105.136824 \nL 245.698413 110.192059 \nL 231.436701 119.872313 \nL 225.063176 124.399836 \nL 219.228557 128.693938 \nL 213.93209 132.755462 \nL 209.157566 136.594168 \nL 204.877498 140.224633 \nL 201.056702 143.663375 \nL 197.655231 146.926936 \nL 194.630706 150.030754 \nL 191.940082 152.988545 \nL 187.392424 158.511064 \nL 183.694796 163.565329 \nL 179.143135 170.357647 \nL 175.117984 176.246568 \nL 172.430903 179.659117 \nL 171.031548 181.201993 \nL 169.573745 182.629281 \nL 168.042813 183.934498 \nL 166.424876 185.109823 \nL 164.706727 186.145981 \nL 162.875732 187.032061 \nL 160.919771 187.755376 \nL 158.827228 188.301273 \nL 156.587025 188.652945 \nL 154.188713 188.791279 \nL 151.622643 188.694711 \nL 148.880201 188.339133 \nL 145.954134 187.697859 \nL 142.838994 186.741753 \nL 139.531677 185.439455 \nL 136.032106 183.75788 \nL 132.344054 181.663006 \nL 128.476096 179.121015 \nL 124.442731 176.099955 \nL 120.265615 172.571887 \nL 115.974857 168.515715 \nL 111.610382 163.920659 \nL 107.223166 158.790292 \nL 102.876275 153.147072 \nL 98.645489 147.036958 \nL 94.619244 140.533731 \nL 90.897691 133.742204 \nL 87.590567 126.799561 \nL 84.813666 119.873785 \nL 82.683767 113.158436 \nL 81.312215 106.863237 \nL 80.797301 101.200614 \nL 81.216211 96.369321 \nL 82.617351 92.53681 \nL 85.014105 89.823306 \nL 88.381094 88.290047 \nL 92.653668 87.934188 \nL 97.731032 88.691415 \nL 103.482726 90.445757 \nL 109.757643 93.044617 \nL 116.394427 96.316271 \nL 123.231816 100.086712 \nL 130.117818 104.193525 \nL 136.916832 108.495311 \nL 143.514284 112.876732 \nL 149.818907 117.24937 \nL 155.762889 121.549888 \nL 161.30048 125.736403 \nL 166.40552 129.784149 \nL 171.068459 133.681198 \nL 175.293177 137.424646 \nL 179.093951 141.017516 \nL 182.49268 144.466333 \nL 185.516508 147.779421 \nL 188.195823 150.965671 \nL 190.562669 154.033841 \nL 192.649502 156.992083 \nL 194.488259 159.847733 \nL 196.109698 162.607248 \nL 198.81522 167.85938 \nL 200.975502 172.783974 \nL 203.57202 179.610033 \nL 207.272613 189.60729 \nL 208.824584 193.139592 \nL 210.538766 196.400762 \nL 212.488592 199.377815 \nL 213.574823 200.753062 \nL 214.747893 202.047654 \nL 216.017696 203.25655 \nL 217.394582 204.373562 \nL 218.889424 205.391164 \nL 220.513696 206.300272 \nL 222.279519 207.089976 \nL 224.199688 207.747243 \nL 226.287681 208.256578 \nL 228.557623 208.599642 \nL 231.024221 208.754825 \nL 233.702632 208.696793 \nL 236.608252 208.396001 \nL 239.756433 207.818218 \nL 243.162059 206.924071 \nL 246.838972 205.668678 \nL 250.799229 204.00145 \nL 255.052111 201.866151 \nL 259.602865 199.201375 \nL 264.451131 195.941626 \nL 269.588997 192.019248 \nL 274.998676 187.367479 \nL 280.649817 181.924943 \nL 286.496476 175.641861 \nL 292.473882 168.488195 \nL 298.495267 160.463715 \nL 304.449114 151.609659 \nL 310.197343 142.02097 \nL 315.575206 131.85757 \nL 320.393698 121.352132 \nL 324.445269 110.811208 \nL 327.513624 100.606399 \nL 329.38767 91.153014 \nL 329.879191 82.875618 \nL 328.842433 76.163341 \nL 326.19311 71.321581 \nL 321.923379 68.529754 \nL 316.109409 67.815451 \nL 308.909214 69.052301 \nL 300.550287 71.982852 \nL 291.30888 76.260982 \nL 281.484573 81.502953 \nL 271.374561 87.335617 \nL 261.251809 93.432676 \nL 241.852672 105.456346 \nL 216.916952 121.200242 \nL 203.670199 129.804836 \nL 192.997951 137.082386 \nL 184.528765 143.287664 \nL 177.817717 148.638908 \nL 172.426668 153.290852 \nL 162.295009 162.370168 \nL 158.82374 165.037284 \nL 157.103262 166.156088 \nL 155.365419 167.124653 \nL 153.592806 167.93612 \nL 151.770364 168.582457 \nL 149.885236 169.054532 \nL 147.926697 169.342194 \nL 145.886099 169.434362 \nL 143.756898 169.319158 \nL 141.534711 168.984106 \nL 139.217449 168.416356 \nL 136.805496 167.603068 \nL 134.301929 166.531799 \nL 131.712808 165.191114 \nL 129.047477 163.571243 \nL 126.318915 161.664918 \nL 123.544076 159.46837 \nL 120.7442 156.982425 \nL 117.945104 154.213702 \nL 115.177325 151.175903 \nL 112.476159 147.891017 \nL 109.881498 144.390409 \nL 107.437398 140.715626 \nL 105.191326 136.918753 \nL 103.193107 133.062185 \nL 101.493439 129.217616 \nL 100.142109 125.464152 \nL 99.185842 121.885553 \nL 98.665984 118.566628 \nL 98.616091 115.589043 \nL 99.059651 113.026791 \nL 100.008162 110.941916 \nL 101.459696 109.380762 \nL 103.398248 108.371325 \nL 105.793902 107.922064 \nL 108.603879 108.02224 \nL 111.774379 108.643669 \nL 115.243081 109.74382 \nL 118.942083 111.269608 \nL 122.800972 113.161568 \nL 126.749836 115.357818 \nL 130.721903 117.797564 \nL 134.655716 120.423775 \nL 138.496747 123.185086 \nL 142.198391 126.036803 \nL 145.722401 128.941272 \nL 149.038844 131.867637 \nL 152.125689 134.79127 \nL 154.968089 137.692982 \nL 157.557521 140.558145 \nL 159.890813 143.375824 \nL 161.969169 146.137977 \nL 163.797229 148.83875 \nL 165.382193 151.473904 \nL 166.733038 154.040317 \nL 167.859839 156.535632 \nL 168.773198 158.957942 \nL 169.483772 161.305571 \nL 170.001887 163.57691 \nL 170.337249 165.770258 \nL 170.49871 167.883735 \nL 170.494113 169.91516 \nL 170.330175 171.861999 \nL 170.012425 173.721266 \nL 169.545166 175.489435 \nL 168.931474 177.162356 \nL 168.173206 178.735169 \nL 167.271042 180.20218 \nL 166.224538 181.556762 \nL 165.032183 182.791212 \nL 163.691494 183.896622 \nL 162.199093 184.862702 \nL 160.550835 185.67765 \nL 158.741946 186.32796 \nL 156.767184 186.798257 \nL 154.621036 187.071137 \nL 152.297963 187.127021 \nL 149.792697 186.944037 \nL 147.100608 186.497993 \nL 144.218134 185.762398 \nL 141.143311 184.708659 \nL 137.876417 183.306398 \nL 134.4207 181.524068 \nL 130.783261 179.329826 \nL 126.976048 176.692834 \nL 123.016955 173.585 \nL 118.931027 169.983255 \nL 114.751719 165.8724 \nL 110.522086 161.248539 \nL 106.295872 156.122971 \nL 102.138288 150.526384 \nL 98.126337 144.512957 \nL 94.3484 138.163909 \nL 90.902931 131.589736 \nL 87.895942 124.930398 \nL 85.437231 118.352601 \nL 83.635197 112.043615 \nL 82.590486 106.201319 \nL 82.388849 101.02089 \nL 83.093805 96.679448 \nL 84.740024 93.32045 \nL 87.328322 91.040227 \nL 90.823162 89.879198 \nL 95.15325 89.819256 \nL 100.215342 90.78805 \nL 105.880905 92.66922 \nL 112.004792 95.316722 \nL 118.434813 98.57054 \nL 125.020975 102.271338 \nL 131.623485 106.27212 \nL 138.118731 110.445937 \nL 144.403134 114.689654 \nL 150.394803 118.924375 \nL 156.033418 123.093479 \nL 161.278778 127.159308 \nL 166.108472 131.099331 \nL 170.5151 134.902347 \nL 174.50339 138.565183 \nL 178.087429 142.089958 \nL 181.288159 145.48199 \nL 184.131212 148.748258 \nL 186.645108 151.896385 \nL 188.859801 154.933937 \nL 190.805553 157.868054 \nL 192.512082 160.705237 \nL 194.007952 163.451256 \nL 196.473898 168.689432 \nL 198.396892 173.615677 \nL 199.939323 178.254848 \nL 201.823481 184.715237 \nL 204.049563 192.464577 \nL 205.210705 195.986395 \nL 206.487188 199.277 \nL 207.936394 202.333963 \nL 209.616164 205.148949 \nL 211.588069 207.705656 \nL 212.704569 208.879177 \nL 213.920375 209.976856 \nL 215.245503 210.992883 \nL 216.690709 211.920155 \nL 218.267548 212.750033 \nL 219.988431 213.472063 \nL 221.866658 214.073665 \nL 223.916447 214.539758 \nL 226.152921 214.85234 \nL 228.592064 214.99001 \nL 231.250627 214.927417 \nL 234.145965 214.634705 \nL 237.295784 214.076873 \nL 240.717777 213.213173 \nL 244.429096 211.996517 \nL 248.445651 210.373016 \nL 252.781145 208.281729 \nL 257.44584 205.654769 \nL 262.44492 202.417984 \nL 267.776491 198.492496 \nL 273.429073 193.797387 \nL 279.378567 188.254002 \nL 285.584817 181.792225 \nL 291.987699 174.359169 \nL 298.503039 165.930462 \nL 305.018751 156.524016 \nL 311.391712 146.215534 \nL 317.446195 135.154089 \nL 322.97496 123.575017 \nL 327.74409 111.806178 \nL 331.502722 100.263016 \nL 333.998179 89.428048 \nL 334.996492 79.812536 \nL 334.306473 71.902384 \nL 331.804465 66.095301 \nL 327.455404 62.642084 \nL 321.325345 61.606505 \nL 313.581832 62.855882 \nL 304.480764 66.086213 \nL 294.341551 70.875707 \nL 283.515276 76.752093 \nL 272.351923 83.256971 \nL 250.248723 96.654991 \nL 220.845992 114.443741 \nL 186.586049 134.915563 \nL 177.485953 140.621704 \nL 170.308357 145.359281 \nL 153.969192 156.472516 \nL 150.445876 158.317485 \nL 148.731145 159.019424 \nL 147.022613 159.569534 \nL 145.305292 159.963158 \nL 143.567017 160.195013 \nL 141.798309 160.259415 \nL 139.992265 160.150439 \nL 138.144493 159.862182 \nL 136.253071 159.389017 \nL 134.318562 158.725891 \nL 132.344016 157.868684 \nL 130.335052 156.814597 \nL 128.299884 155.562617 \nL 126.249375 154.113986 \nL 124.197115 152.472738 \nL 122.159398 150.646226 \nL 120.155174 148.645656 \nL 118.205961 146.48656 \nL 116.335624 144.189172 \nL 114.57007 141.778699 \nL 112.936795 139.285376 \nL 111.46431 136.744279 \nL 110.181414 134.194851 \nL 109.116328 131.680109 \nL 108.295736 129.245537 \nL 107.743729 126.937656 \nL 107.480718 124.802387 \nL 107.522392 122.883213 \nL 107.878798 121.219363 \nL 108.55356 119.844112 \nL 109.543396 118.783327 \nL 110.837879 118.054421 \nL 112.419607 117.665834 \nL 114.264649 117.616972 \nL 116.343343 117.898796 \nL 118.621345 118.494738 \nL 121.060865 119.382052 \nL 123.622026 120.533363 \nL 126.264214 121.918256 \nL 128.947371 123.504812 \nL 131.633122 125.260966 \nL 134.285729 127.155632 \nL 136.872807 129.159555 \nL 139.365815 131.245868 \nL 141.740299 133.390396 \nL 143.975971 135.571771 \nL 146.056579 137.771357 \nL 147.969668 139.973061 \nL 149.70624 142.163082 \nL 151.260341 144.329591 \nL 152.62863 146.462426 \nL 153.809927 148.55279 \nL 154.80479 150.592964 \nL 155.615099 152.576037 \nL 156.243703 154.495688 \nL 156.694069 156.345976 \nL 156.970031 158.121158 \nL 157.075528 159.815532 \nL 157.014439 161.423311 \nL 156.790414 162.938496 \nL 156.406782 164.354756 \nL 155.866482 165.665325 \nL 155.17202 166.862929 \nL 154.325477 167.939677 \nL 153.328532 168.887002 \nL 152.182529 169.695568 \nL 150.888561 170.355231 \nL 149.447597 170.855005 \nL 147.860626 171.183037 \nL 146.128845 171.326621 \nL 144.253878 171.272269 \nL 142.238037 171.005797 \nL 140.08461 170.512532 \nL 137.798198 169.777575 \nL 135.3851 168.786145 \nL 132.853712 167.524106 \nL 130.215004 165.978593 \nL 127.482954 164.13878 \nL 124.675055 161.99689 \nL 121.812789 159.549289 \nL 118.922042 156.797765 \nL 116.033441 153.750928 \nL 113.182594 150.425638 \nL 110.410113 146.848324 \nL 107.761381 143.0562 \nL 105.286041 139.098009 \nL 103.037064 135.034247 \nL 101.069449 130.936643 \nL 99.438472 126.886658 \nL 98.197537 122.97299 \nL 97.395698 119.288046 \nL 97.07499 115.923508 \nL 97.267779 112.965368 \nL 97.994315 110.488809 \nL 99.260796 108.553535 \nL 101.058143 107.200051 \nL 103.361677 106.447419 \nL 106.131776 106.292781 \nL 109.315561 106.712718 \nL 112.849368 107.666076 \nL 116.661866 109.098138 \nL 120.677495 110.945252 \nL 124.819929 113.139562 \nL 129.015206 115.613262 \nL 133.194445 118.302019 \nL 137.295868 121.147431 \nL 141.266161 124.098516 \nL 145.061166 127.11225 \nL 148.645992 130.153478 \nL 151.994654 133.194315 \nL 155.089351 136.213257 \nL 157.919531 139.194152 \nL 160.480836 142.125197 \nL 162.773992 144.997984 \nL 164.803747 147.806669 \nL 166.577882 150.547275 \nL 168.10631 153.217158 \nL 169.400306 155.814538 \nL 170.47185 158.338181 \nL 171.333085 160.787135 \nL 171.995874 163.160548 \nL 172.471472 165.457536 \nL 172.770256 167.677043 \nL 172.901545 169.817801 \nL 172.873472 171.87821 \nL 172.6929 173.856297 \nL 172.365376 175.749645 \nL 171.895122 177.5553 \nL 171.285047 179.269714 \nL 170.536767 180.88864 \nL 169.650654 182.407042 \nL 168.625885 183.818971 \nL 167.460505 185.117431 \nL 166.151504 186.294245 \nL 164.694895 187.339882 \nL 163.08582 188.243305 \nL 161.318659 188.99175 \nL 159.387179 189.570554 \nL 157.284695 189.96294 \nL 155.004281 190.149826 \nL 152.539033 190.109647 \nL 149.882381 189.81822 \nL 147.028482 189.248658 \nL 143.972711 188.37141 \nL 140.712239 187.154456 \nL 137.246752 185.563645 \nL 133.579301 183.563408 \nL 129.717288 181.117764 \nL 125.673626 178.191825 \nL 121.467999 174.753866 \nL 117.128281 170.778009 \nL 112.691968 166.247635 \nL 108.207596 161.159476 \nL 103.735993 155.528288 \nL 99.351158 149.39182 \nL 95.140534 142.815673 \nL 91.204454 135.897318 \nL 87.654383 128.768398 \nL 84.609769 121.594368 \nL 82.193255 114.570348 \nL 80.524312 107.912601 \nL 79.711484 101.845496 \nL 79.843892 96.584684 \nL 80.982749 92.318281 \nL 83.154087 89.18879 \nL 86.343787 87.278789 \nL 90.495971 86.60317 \nL 95.515176 87.109599 \nL 101.27236 88.687245 \nL 107.613929 91.181845 \nL 114.372603 94.414337 \nL 121.37863 98.199483 \nL 128.469992 102.361762 \nL 135.500564 106.746739 \nL 142.345654 111.227315 \nL 148.904931 115.70549 \nL 155.102988 120.110712 \nL 160.888087 124.396168 \nL 166.229699 128.534118 \nL 171.115357 132.511166 \nL 175.547292 136.324053 \nL 179.539144 139.976125 \nL 183.112984 143.474681 \nL 186.296711 146.828973 \nL 189.121893 150.048913 \nL 191.622023 153.144204 \nL 193.831173 156.123839 \nL 195.782975 158.99587 \nL 197.5099 161.767332 \nL 200.410415 167.031718 \nL 202.754938 171.954576 \nL 205.63273 178.752248 \nL 209.031028 186.788275 \nL 210.795682 190.372865 \nL 212.727557 193.659181 \nL 214.910362 196.62886 \nL 216.121544 197.985965 \nL 217.426474 199.251263 \nL 218.835891 200.418346 \nL 220.360893 201.479449 \nL 222.013013 202.425238 \nL 223.804267 203.244556 \nL 225.747188 203.92414 \nL 227.854813 204.448316 \nL 230.140648 204.798622 \nL 232.618582 204.953447 \nL 235.302736 204.887616 \nL 238.207238 204.571979 \nL 241.345906 203.97302 \nL 244.731802 203.052505 \nL 248.376649 201.767269 \nL 252.290041 200.069163 \nL 256.478471 197.90531 \nL 260.944076 195.218795 \nL 265.683103 191.949958 \nL 270.684041 188.038528 \nL 275.925463 183.42681 \nL 281.373503 178.06423 \nL 286.979186 171.913347 \nL 292.675602 164.957557 \nL 298.37531 157.210255 \nL 303.968224 148.72506 \nL 309.320617 139.606098 \nL 314.275718 130.016736 \nL 318.656792 120.184576 \nL 322.273173 110.400053 \nL 324.92986 101.006015 \nL 326.440546 92.376657 \nL 326.643396 84.886033 \nL 325.418044 78.869101 \nL 322.701372 74.581406 \nL 318.499293 72.165402 \nL 312.891874 71.631538 \nL 306.030114 72.859129 \nL 298.12431 75.617512 \nL 289.425667 79.602262 \nL 280.204368 84.477959 \nL 270.727641 89.918036 \nL 261.241133 95.634951 \nL 243.039679 107.036018 \nL 226.772793 117.539669 \nL 212.96684 126.755132 \nL 201.66366 134.712019 \nL 196.879949 138.275505 \nL 192.615841 141.597715 \nL 188.820732 144.703438 \nL 182.428439 150.349714 \nL 177.294986 155.349619 \nL 171.158212 161.812459 \nL 167.664357 165.481712 \nL 164.361248 168.641506 \nL 162.718946 170.023199 \nL 161.054624 171.266193 \nL 159.349891 172.363901 \nL 157.588318 173.308418 \nL 155.755287 174.090484 \nL 153.83788 174.699506 \nL 151.824811 175.123501 \nL 149.706415 175.349136 \nL 147.474689 175.361747 \nL 145.123397 175.145439 \nL 142.64825 174.683235 \nL 140.047136 173.957333 \nL 137.320443 172.949462 \nL 134.471435 171.641377 \nL 131.506705 170.015575 \nL 128.436697 168.056166 \nL 125.276251 165.750005 \nL 122.045204 163.088028 \nL 118.768949 160.066908 \nL 115.478939 156.690832 \nL 112.213125 152.973466 \nL 109.016131 148.939947 \nL 105.939185 144.628715 \nL 103.03968 140.092963 \nL 100.380234 135.401441 \nL 98.027232 130.638276 \nL 96.048735 125.901576 \nL 94.511805 121.300512 \nL 93.47931 116.950901 \nL 93.006343 112.969351 \nL 93.136583 109.466387 \nL 93.898811 106.539256 \nL 95.304084 104.265074 \nL 97.343817 102.695444 \nL 99.989175 101.853104 \nL 103.191841 101.731211 \nL 106.886217 102.295335 \nL 110.992853 103.487884 \nL 115.422713 105.234124 \nL 120.08191 107.44901 \nL 124.876374 110.043871 \nL 129.716052 112.932232 \nL 134.518356 116.034322 \nL 139.210659 119.279902 \nL 143.731822 122.609788 \nL 148.032785 125.976053 \nL 152.076413 129.341364 \nL 155.836736 132.677743 \nL 159.297798 135.96508 \nL 162.452276 139.189608 \nL 165.300007 142.342407 \nL 167.846533 145.418202 \nL 170.101735 148.414278 \nL 172.078614 151.329682 \nL 173.792225 154.164584 \nL 175.258775 156.919819 \nL 176.494892 159.596552 \nL 177.517038 162.196076 \nL 178.341053 164.719626 \nL 178.981823 167.168333 \nL 179.45303 169.543108 \nL 179.766996 171.844648 \nL 179.934581 174.07338 \nL 179.965135 176.229447 \nL 179.86648 178.312679 \nL 179.644929 180.322576 \nL 179.305314 182.25825 \nL 178.851037 184.118401 \nL 178.284113 185.901259 \nL 177.605229 187.604517 \nL 176.813798 189.225239 \nL 175.908008 190.759796 \nL 174.884873 192.203725 \nL 173.740278 193.551618 \nL 172.469028 194.796965 \nL 171.064895 195.931984 \nL 169.520663 196.947425 \nL 167.828193 197.832348 \nL 165.978485 198.573874 \nL 163.961776 199.156903 \nL 161.767653 199.563824 \nL 159.385207 199.774183 \nL 156.803236 199.764376 \nL 154.010521 199.507307 \nL 150.996178 198.972119 \nL 147.750109 198.123962 \nL 144.263607 196.9239 \nL 140.530077 195.328996 \nL 136.545996 193.292681 \nL 132.312025 190.765532 \nL 127.834417 187.696583 \nL 123.12663 184.035364 \nL 118.211224 179.734828 \nL 113.121956 174.755381 \nL 107.905997 169.070062 \nL 102.6262 162.671045 \nL 97.3631 155.577126 \nL 92.216401 147.841882 \nL 87.305521 139.561634 \nL 82.768731 130.881934 \nL 78.760259 122.000851 \nL 75.44503 113.167167 \nL 72.990587 104.671514 \nL 71.55644 96.829508 \nL 71.281259 89.95696 \nL 72.269275 84.339609 \nL 74.57757 80.2016 \nL 78.20644 77.678611 \nL 83.094783 76.801483 \nL 89.121863 77.494377 \nL 96.115659 79.588289 \nL 103.866717 82.846787 \nL 112.145329 86.998241 \nL 120.719329 91.767772 \nL 129.370012 96.903321 \nL 137.904324 102.192691 \nL 154.021171 112.621322 \nL 168.223714 122.268226 \nL 174.486935 126.706584 \nL 180.179551 130.883278 \nL 185.316194 134.809643 \nL 189.924549 138.502807 \nL 194.041269 141.982191 \nL 197.708614 145.267231 \nL 200.971795 148.376001 \nL 203.876959 151.3245 \nL 208.794049 156.792735 \nL 212.801844 161.752925 \nL 222.152838 173.937693 \nL 225.093806 177.102763 \nL 226.624577 178.50248 \nL 228.217586 179.771947 \nL 229.887817 180.903218 \nL 231.6492 181.886896 \nL 233.514704 182.712013 \nL 235.496415 183.365915 \nL 237.605545 183.834126 \nL 239.852383 184.100259 \nL 242.24621 184.145879 \nL 244.795121 183.950514 \nL 247.50578 183.491637 \nL 250.38308 182.744775 \nL 253.429718 181.683769 \nL 256.645657 180.281193 \nL 260.027477 178.508998 \nL 263.567619 176.339477 \nL 267.253503 173.746548 \nL 271.066585 170.707464 \nL 274.981312 167.205018 \nL 278.964109 163.230166 \nL 282.972375 158.785127 \nL 286.953716 153.886837 \nL 290.845415 148.570456 \nL 294.574428 142.892737 \nL 298.058023 136.934666 \nL 301.205282 130.802811 \nL 303.919634 124.628764 \nL 306.10249 118.566015 \nL 307.658005 112.783874 \nL 308.498751 107.458337 \nL 308.551921 102.760458 \nL 307.765534 98.843242 \nL 306.113856 95.828751 \nL 303.601331 93.797419 \nL 300.264293 92.781191 \nL 296.170108 92.761993 \nL 291.413619 93.675713 \nL 286.111271 95.420898 \nL 280.393653 97.870686 \nL 274.397336 100.885875 \nL 268.256987 104.327042 \nL 262.098531 108.06438 \nL 256.033959 111.984371 \nL 250.157936 115.993237 \nL 244.546214 120.017667 \nL 239.25557 124.003488 \nL 234.324911 127.913157 \nL 229.777167 131.722649 \nL 225.621631 135.418375 \nL 221.856416 138.994336 \nL 218.470886 142.449757 \nL 215.447872 145.787225 \nL 212.765628 149.011284 \nL 210.399481 152.12744 \nL 208.323182 155.141523 \nL 206.509978 158.059233 \nL 204.933428 160.885924 \nL 203.568013 163.626496 \nL 202.389555 166.285359 \nL 200.505046 171.373194 \nL 199.121037 176.175912 \nL 198.107643 180.714736 \nL 197.361853 185.007196 \nL 196.575469 191.016334 \nL 195.716244 199.990568 \nL 194.826954 209.246179 \nL 194.073483 214.610558 \nL 193.329547 218.251397 \nL 192.360449 221.583827 \nL 191.549355 223.63911 \nL 190.571325 225.561718 \nL 189.389304 227.348475 \nL 187.958202 228.991654 \nL 186.223051 230.476975 \nL 184.116852 231.780653 \nL 181.558098 232.86502 \nL 180.078903 233.307867 \nL 178.448027 233.672092 \nL 176.649959 233.945739 \nL 174.66776 234.11419 \nL 172.483003 234.159634 \nL 170.07573 234.060424 \nL 167.424454 233.79033 \nL 164.506212 233.317683 \nL 161.2967 232.604387 \nL 157.770521 231.604837 \nL 153.901601 230.264736 \nL 149.663785 228.519907 \nL 145.031749 226.295149 \nL 139.982267 223.503333 \nL 134.495942 220.044968 \nL 128.559566 215.808579 \nL 122.169164 210.672446 \nL 115.333966 204.508335 \nL 108.081299 197.188096 \nL 100.462505 188.594117 \nL 92.559757 178.634618 \nL 84.493467 167.264442 \nL 76.42955 154.511371 \nL 68.585438 140.506398 \nL 61.233067 125.51424 \nL 54.696587 109.957311 \nL 49.342177 94.42346 \nL 45.557567 79.646087 \nL 43.720419 66.447364 \nL 44.156693 55.64252 \nL 47.094308 47.916552 \nL 52.620494 43.699692 \nL 60.653664 43.07794 \nL 70.939335 45.770714 \nL 83.073946 51.188002 \nL 96.552972 58.5503 \nL 110.832117 67.03278 \nL 139.76184 84.540267 \nL 153.593147 92.581928 \nL 166.621507 99.789843 \nL 178.683116 106.073912 \nL 189.694917 111.438338 \nL 199.636139 115.944374 \nL 208.530424 119.682087 \nL 216.430489 122.751381 \nL 223.406077 125.250508 \nL 229.535081 127.270037 \nL 234.897388 128.890333 \nL 243.628902 131.201805 \nL 250.162998 132.628029 \nL 256.836564 133.779272 \nL 262.306901 134.652409 \nL 263.174884 134.97359 \nL 263.530229 135.375937 \nL 263.496843 135.890348 \nL 263.180753 136.528967 \nL 259.955283 141.656015 \nL 259.433287 143.136455 \nL 259.288675 144.032985 \nL 259.325121 144.820157 \nL 259.549476 145.468877 \nL 259.961194 145.95307 \nL 260.552699 146.250441 \nL 261.309672 146.343239 \nL 262.211269 146.219245 \nL 263.230329 145.872832 \nL 264.333608 145.30618 \nL 265.482232 144.530436 \nL 266.632395 143.566688 \nL 267.736508 142.446599 \nL 268.744838 141.212319 \nL 269.607748 139.915553 \nL 270.278409 138.615603 \nL 270.715941 137.376268 \nL 270.888628 136.261822 \nL 270.776891 135.33241 \nL 270.375626 134.639474 \nL 269.695464 134.221699 \nL 268.762725 134.102198 \nL 267.617999 134.287258 \nL 266.313424 134.766737 \nL 264.909129 135.515913 \nL 263.469143 136.49834 \nL 262.05741 137.669172 \nL 260.734257 138.978431 \nL 259.553646 140.373851 \nL 258.561331 141.803096 \nL 257.793841 143.21528 \nL 257.278218 144.561922 \nL 257.032253 145.797445 \nL 257.064987 146.879444 \nL 257.377285 147.768877 \nL 257.96233 148.430353 \nL 258.805893 148.83264 \nL 259.886368 148.94958 \nL 261.174573 148.761363 \nL 262.633386 148.256244 \nL 264.217404 147.432744 \nL 265.872798 146.301976 \nL 267.537578 144.890031 \nL 269.142653 143.239873 \nL 270.613864 141.412229 \nL 271.875173 139.48492 \nL 272.853135 137.55007 \nL 273.48228 135.70893 \nL 273.711116 134.064576 \nL 273.664551 133.346767 \nL 273.507758 132.713186 \nL 273.240561 132.173314 \nL 272.864478 131.73515 \nL 272.382709 131.40505 \nL 271.800135 131.187576 \nL 271.123219 131.085443 \nL 270.359907 131.09951 \nL 268.612233 131.470702 \nL 266.64323 132.273907 \nL 264.549584 133.459929 \nL 262.430991 134.964145 \nL 260.383182 136.713202 \nL 258.492424 138.630793 \nL 256.83189 140.641932 \nL 255.459912 142.675544 \nL 254.419834 144.665689 \nL 253.741003 146.551676 \nL 253.44039 148.277587 \nL 253.524353 149.791529 \nL 253.99021 151.044914 \nL 254.363317 151.559512 \nL 254.827317 151.992077 \nL 255.379719 152.337374 \nL 256.017542 152.590402 \nL 256.737323 152.746427 \nL 258.406183 152.750307 \nL 260.347183 152.319291 \nL 262.510525 151.433407 \nL 264.834077 150.086611 \nL 267.241947 148.291755 \nL 269.64394 146.085864 \nL 271.936335 143.534887 \nL 274.004814 140.736568 \nL 275.729975 137.819955 \nL 276.995583 134.940181 \nL 277.42319 133.567159 \nL 277.699228 132.267635 \nL 277.815 131.062714 \nL 277.764113 129.972298 \nL 277.542806 129.014524 \nL 277.15014 128.205184 \nL 276.588161 127.557281 \nL 275.861951 127.080662 \nL 274.979568 126.781776 \nL 273.951887 126.663585 \nL 272.79236 126.725603 \nL 271.516667 126.964122 \nL 270.142301 127.372459 \nL 268.688128 127.9414 \nL 265.619705 129.514145 \nL 262.471353 131.575125 \nL 259.395613 134.00574 \nL 256.526917 136.687868 \nL 253.975178 139.511632 \nL 251.823566 142.37916 \nL 250.129664 145.20517 \nL 248.928853 147.915457 \nL 248.238717 150.444393 \nL 248.08689 151.622007 \nL 248.063513 152.732173 \nL 248.167664 153.767905 \nL 248.398017 154.722284 \nL 248.752899 155.588418 \nL 249.230323 156.359388 \nL 249.828012 157.028241 \nL 250.543384 157.587966 \nL 251.373537 158.031509 \nL 252.315197 158.351771 \nL 253.364659 158.541707 \nL 254.517695 158.594348 \nL 255.769462 158.502946 \nL 257.114377 158.261066 \nL 258.545991 157.862795 \nL 260.056848 157.302926 \nL 261.638334 156.577202 \nL 263.280533 155.682637 \nL 264.97208 154.617811 \nL 266.700047 153.383233 \nL 268.449806 151.981754 \nL 270.204986 150.418932 \nL 271.947436 148.703454 \nL 273.657249 146.847464 \nL 275.312893 144.866884 \nL 276.89139 142.781609 \nL 278.36863 140.615586 \nL 279.71977 138.396683 \nL 280.919743 136.156404 \nL 281.943883 133.929366 \nL 282.768653 131.752518 \nL 283.372427 129.664137 \nL 283.736294 127.702635 \nL 283.8449 125.905235 \nL 283.687189 124.30657 \nL 283.257065 122.937326 \nL 282.553882 121.823007 \nL 281.582723 120.982964 \nL 280.354451 120.429715 \nL 278.885507 120.168646 \nL 277.197448 120.198106 \nL 275.316259 120.509868 \nL 273.271498 121.089897 \nL 271.095323 121.919396 \nL 268.821407 122.975926 \nL 266.483912 124.234612 \nL 264.116487 125.669287 \nL 261.751406 127.253502 \nL 259.418824 128.961389 \nL 257.146235 130.768295 \nL 252.8755 134.589293 \nL 250.916354 136.563465 \nL 249.095205 138.556929 \nL 247.423532 140.554784 \nL 245.909975 142.543916 \nL 244.560643 144.512804 \nL 243.379437 146.45127 \nL 242.368404 148.350259 \nL 241.528079 150.20162 \nL 240.85779 151.997889 \nL 240.355972 153.732096 \nL 240.020414 155.397622 \nL 239.848501 156.988007 \nL 239.837396 158.496844 \nL 239.984196 159.91764 \nL 240.286049 161.243714 \nL 240.74024 162.468106 \nL 241.344238 163.58348 \nL 242.09571 164.582058 \nL 242.992515 165.455553 \nL 244.032654 166.19513 \nL 245.214194 166.791354 \nL 246.53517 167.23419 \nL 247.993457 167.513018 \nL 249.586597 167.616675 \nL 251.31161 167.533544 \nL 253.164773 167.251686 \nL 255.141359 166.759042 \nL 257.23535 166.043726 \nL 259.43913 165.094367 \nL 261.743133 163.900594 \nL 264.135497 162.453588 \nL 266.601693 160.746782 \nL 269.124159 158.776668 \nL 271.681998 156.543725 \nL 274.250681 154.053388 \nL 276.801855 151.317088 \nL 279.303302 148.35328 \nL 281.719028 145.188329 \nL 284.009557 141.85721 \nL 286.132533 138.403848 \nL 288.043536 134.88103 \nL 289.697253 131.349686 \nL 291.048917 127.877501 \nL 292.056041 124.536834 \nL 292.680311 121.401905 \nL 292.889599 118.54549 \nL 292.659906 116.035258 \nL 291.977091 113.930147 \nL 290.838188 112.277053 \nL 289.252237 111.108281 \nL 287.240415 110.439998 \nL 284.835464 110.271863 \nL 282.080454 110.587947 \nL 279.026908 111.35867 \nL 275.73253 112.543594 \nL 272.258672 114.09469 \nL 268.667746 115.959675 \nL 265.020837 118.085141 \nL 261.375603 120.419171 \nL 257.784639 122.913371 \nL 254.294281 125.524188 \nL 250.943936 128.213626 \nL 247.765811 130.949433 \nL 244.785047 133.704897 \nL 242.020127 136.458362 \nL 239.483504 139.192578 \nL 237.182351 141.894014 \nL 235.119377 144.552187 \nL 233.293644 147.158996 \nL 231.701372 149.708177 \nL 230.336651 152.19482 \nL 229.192119 154.614986 \nL 228.259514 156.965372 \nL 227.53017 159.243059 \nL 226.995409 161.4453 \nL 226.646874 163.569362 \nL 226.476775 165.612387 \nL 226.478085 167.571276 \nL 226.644673 169.442591 \nL 226.971403 171.222436 \nL 227.454183 172.906386 \nL 228.089992 174.489368 \nL 228.876867 175.965578 \nL 229.813882 177.328346 \nL 230.901091 178.570055 \nL 232.139451 179.681991 \nL 233.530745 180.654207 \nL 235.077456 181.475418 \nL 236.782637 182.132843 \nL 238.649733 182.612083 \nL 240.682392 182.896996 \nL 242.88422 182.969627 \nL 245.258476 182.810138 \nL 247.807743 182.396848 \nL 250.5335 181.706294 \nL 253.43564 180.713511 \nL 256.51188 179.392372 \nL 259.757103 177.716235 \nL 263.162585 175.658804 \nL 266.715151 173.195307 \nL 270.39622 170.304087 \nL 274.180837 166.968611 \nL 278.036678 163.179882 \nL 281.923107 158.939272 \nL 285.790427 154.261672 \nL 289.579344 149.17878 \nL 293.220937 143.742166 \nL 296.63716 138.025813 \nL 299.742177 132.127506 \nL 302.444563 126.168542 \nL 304.650607 120.291177 \nL 306.268557 114.653402 \nL 307.213792 109.420979 \nL 307.41455 104.75702 \nL 306.817683 100.810121 \nL 305.393871 97.702381 \nL 303.141551 95.518981 \nL 300.08896 94.301107 \nL 296.293811 94.043383 \nL 291.840543 94.696349 \nL 286.835305 96.173478 \nL 281.39936 98.361508 \nL 275.661564 101.13223 \nL 269.750939 104.354035 \nL 263.789995 107.90159 \nL 257.889454 111.662858 \nL 252.14458 115.543193 \nL 246.633214 119.4668 \nL 241.415276 123.376077 \nL 236.533468 127.229692 \nL 232.014823 130.999895 \nL 227.872734 134.669684 \nL 224.109252 138.230097 \nL 220.717352 141.67791 \nL 217.683102 145.013719 \nL 214.987572 148.240527 \nL 212.608499 151.362666 \nL 210.521663 154.385054 \nL 208.701999 157.312737 \nL 207.12446 160.150584 \nL 205.764674 162.90313 \nL 204.599408 165.574518 \nL 203.606894 168.168486 \nL 202.061444 173.137152 \nL 200.98872 177.831916 \nL 200.277045 182.271415 \nL 199.840327 186.471349 \nL 199.61456 190.445359 \nL 199.575723 196.009065 \nL 199.817915 201.127927 \nL 200.30181 205.833337 \nL 201.029164 210.151521 \nL 201.665484 212.825314 \nL 202.443287 215.339835 \nL 203.387202 217.696646 \nL 204.528921 219.894219 \nL 205.908201 221.926764 \nL 207.574224 223.782451 \nL 209.587305 225.440842 \nL 210.746386 226.186408 \nL 212.020951 226.869094 \nL 213.422628 227.481956 \nL 214.964176 228.016454 \nL 216.659547 228.462141 \nL 218.523964 228.806271 \nL 220.573976 229.033354 \nL 222.827498 229.124616 \nL 225.303813 229.057381 \nL 228.023534 228.804347 \nL 231.008506 228.332772 \nL 234.281611 227.603559 \nL 237.866441 226.570274 \nL 241.786832 225.178114 \nL 246.06614 223.362919 \nL 250.726246 221.050325 \nL 255.786193 218.155225 \nL 261.260325 214.581834 \nL 267.155854 210.224675 \nL 273.469761 204.971041 \nL 280.184858 198.705523 \nL 287.265028 191.31742 \nL 294.64964 182.711791 \nL 302.247347 172.824914 \nL 309.929638 161.64441 \nL 317.524949 149.233515 \nL 324.814528 135.75741 \nL 331.531718 121.507536 \nL 337.366608 106.917291 \nL 341.978361 92.56045 \nL 345.016627 79.12337 \nL 346.152292 67.34512 \nL 345.115383 57.927441 \nL 341.734882 51.427618 \nL 335.972542 48.158874 \nL 327.941966 48.127626 \nL 317.906036 51.030436 \nL 306.251094 56.314769 \nL 293.442403 63.285723 \nL 279.970914 71.225983 \nL 252.842151 87.596081 \nL 239.907532 95.183256 \nL 227.727819 102.060434 \nL 216.447421 108.145239 \nL 206.139513 113.435631 \nL 196.821771 117.979025 \nL 188.471709 121.848519 \nL 181.039973 125.126564 \nL 168.660795 130.228934 \nL 159.092313 133.851766 \nL 151.75096 136.419558 \nL 143.828978 138.917255 \nL 138.473302 140.326426 \nL 134.781049 141.01138 \nL 132.17023 141.193683 \nL 130.283832 141.024111 \nL 128.914622 140.620215 \nL 127.949968 140.084428 \nL 127.332128 139.510959 \nL 127.029968 138.985962 \nL 127.019246 138.583717 \nL 127.269898 138.361351 \nL 127.739232 138.354126 \nL 128.370311 138.572697 \nL 129.343662 139.188127 \nL 130.304282 140.086751 \nL 131.082267 141.130056 \nL 131.540781 142.156657 \nL 131.621316 142.81826 \nL 131.458972 143.31846 \nL 131.060126 143.60699 \nL 130.451112 143.648364 \nL 129.677123 143.425665 \nL 128.80014 142.943898 \nL 127.895548 142.232513 \nL 127.047196 141.346015 \nL 126.340427 140.36175 \nL 125.853486 139.374149 \nL 125.647914 138.48515 \nL 125.759469 137.791907 \nL 126.013108 137.47881 \nL 126.402165 137.305434 \nL 126.912104 137.281828 \nL 127.857035 137.531409 \nL 128.936657 138.102077 \nL 130.046973 138.941388 \nL 131.081547 139.972755 \nL 131.942698 141.104544 \nL 132.550089 142.238784 \nL 132.846448 143.278431 \nL 132.800497 144.133246 \nL 132.576431 144.561003 \nL 132.203093 144.851839 \nL 131.691046 144.990113 \nL 131.055917 144.964678 \nL 130.318234 144.769627 \nL 129.075654 144.161065 \nL 127.762078 143.20192 \nL 126.495681 141.95896 \nL 125.402244 140.536386 \nL 124.603111 139.069808 \nL 124.285437 138.143451 \nL 124.166633 137.31219 \nL 124.259853 136.619076 \nL 124.56792 136.101014 \nL 125.082614 135.786173 \nL 125.784727 135.692098 \nL 126.645006 135.824781 \nL 127.625894 136.178682 \nL 128.68383 136.737667 \nL 130.312327 137.903733 \nL 131.850061 139.361146 \nL 133.15293 140.978456 \nL 134.103996 142.618095 \nL 134.5002 143.657069 \nL 134.686937 144.608734 \nL 134.655829 145.438157 \nL 134.405493 146.113427 \nL 133.941311 146.606189 \nL 133.275268 146.892268 \nL 132.42587 146.9525 \nL 131.418109 146.77377 \nL 130.28346 146.350277 \nL 129.059784 145.684921 \nL 127.790983 144.790688 \nL 126.526323 143.691866 \nL 125.319245 142.424789 \nL 124.225481 141.037803 \nL 123.300545 139.590142 \nL 122.596506 138.149544 \nL 122.158382 136.788504 \nL 122.020318 135.579421 \nL 122.202172 134.589131 \nL 122.706932 133.873491 \nL 123.51944 133.472829 \nL 124.606705 133.408998 \nL 125.919917 133.684355 \nL 127.397923 134.28279 \nL 128.971606 135.172351 \nL 130.568711 136.308966 \nL 132.11841 137.640443 \nL 133.555147 139.110238 \nL 134.821472 140.660517 \nL 135.869792 142.234436 \nL 136.66309 143.777507 \nL 137.174876 145.238349 \nL 137.38863 146.568968 \nL 137.297028 147.724805 \nL 136.901166 148.664727 \nL 136.209968 149.351246 \nL 135.239934 149.751023 \nL 134.0152 149.835831 \nL 132.5679 149.584029 \nL 130.938758 148.982632 \nL 129.177663 148.029861 \nL 127.344078 146.738072 \nL 125.506831 145.136658 \nL 123.74309 143.274465 \nL 122.136081 141.220999 \nL 120.771345 139.06569 \nL 119.731479 136.914507 \nL 119.089671 134.883668 \nL 118.90257 133.090616 \nL 118.991029 132.317698 \nL 119.203547 131.643424 \nL 119.539806 131.078091 \nL 119.997516 130.630174 \nL 120.572415 130.306142 \nL 121.258332 130.110317 \nL 122.047281 130.044835 \nL 122.929641 130.10967 \nL 124.929164 130.619954 \nL 127.155794 131.602603 \nL 129.498363 132.995682 \nL 131.844655 134.722095 \nL 134.089248 136.697544 \nL 136.139404 138.83694 \nL 137.918553 141.058788 \nL 139.367555 143.28751 \nL 140.44414 145.454121 \nL 141.1212 147.495835 \nL 141.384529 149.355076 \nL 141.23056 150.978266 \nL 140.998407 151.685447 \nL 140.664483 152.314841 \nL 140.230613 152.860491 \nL 139.699052 153.316585 \nL 139.072507 153.677473 \nL 138.354145 153.93769 \nL 137.547638 154.092005 \nL 136.657187 154.13549 \nL 135.687601 154.063608 \nL 133.533563 153.55815 \nL 131.138303 152.551453 \nL 128.56846 151.034234 \nL 125.906527 149.01816 \nL 123.25191 146.54246 \nL 120.72039 143.680012 \nL 118.440962 140.541322 \nL 116.54956 137.274407 \nL 115.791388 135.648001 \nL 115.179205 134.058628 \nL 114.727068 132.531453 \nL 114.447141 131.091579 \nL 114.349256 129.763334 \nL 114.440475 128.569518 \nL 114.724748 127.53068 \nL 115.202651 126.664444 \nL 115.871211 125.984954 \nL 116.723884 125.502463 \nL 117.750632 125.223089 \nL 118.93814 125.148774 \nL 120.270164 125.27739 \nL 121.727969 125.603047 \nL 123.290855 126.116522 \nL 124.936724 126.80579 \nL 126.642678 127.656632 \nL 130.142765 129.778737 \nL 133.613055 132.347397 \nL 136.894554 135.226507 \nL 139.856312 138.289929 \nL 142.39902 141.426781 \nL 144.454075 144.542341 \nL 145.979638 147.556245 \nL 146.536764 149.003089 \nL 146.95515 150.399206 \nL 147.234616 151.737092 \nL 147.375618 153.009487 \nL 147.379137 154.209286 \nL 147.246547 155.329485 \nL 146.979547 156.363055 \nL 146.580083 157.302934 \nL 146.050316 158.141947 \nL 145.392603 158.872777 \nL 144.609511 159.487934 \nL 143.70385 159.979786 \nL 142.678732 160.340537 \nL 141.537642 160.5623 \nL 140.284541 160.637143 \nL 138.923998 160.557211 \nL 137.461317 160.314855 \nL 135.902712 159.902816 \nL 134.255463 159.314439 \nL 132.528107 158.543979 \nL 130.730638 157.586903 \nL 128.874677 156.440289 \nL 126.97366 155.103255 \nL 125.042994 153.577433 \nL 123.100174 151.867478 \nL 121.164876 149.981559 \nL 119.258923 147.931863 \nL 117.40623 145.735009 \nL 115.632616 143.41239 \nL 113.965492 140.990327 \nL 112.433408 138.50005 \nL 111.065472 135.977411 \nL 109.890643 133.462311 \nL 108.936832 130.997793 \nL 108.229972 128.628873 \nL 107.792978 126.401052 \nL 107.644737 124.358632 \nL 107.799112 122.542944 \nL 108.264101 120.990589 \nL 109.041184 119.731843 \nL 110.124931 118.789395 \nL 111.502921 118.177454 \nL 113.155986 117.901417 \nL 115.058785 117.958006 \nL 117.180654 118.335922 \nL 119.486712 119.016935 \nL 121.939115 119.977229 \nL 124.49838 121.188924 \nL 127.12469 122.621633 \nL 129.779117 124.243913 \nL 132.42468 126.024498 \nL 135.027207 127.933342 \nL 137.555952 129.942327 \nL 139.984015 132.025781 \nL 142.288534 134.160676 \nL 144.450689 136.326717 \nL 146.45555 138.506203 \nL 148.291819 140.68385 \nL 149.951466 142.84653 \nL 151.42932 144.982948 \nL 152.72265 147.083353 \nL 153.83073 149.139253 \nL 154.754415 151.143132 \nL 155.495768 153.088202 \nL 156.057705 154.968189 \nL 156.443683 156.777137 \nL 156.657453 158.509243 \nL 156.702827 160.158711 \nL 156.583518 161.71961 \nL 156.303003 163.185762 \nL 155.864431 164.550641 \nL 155.270568 165.807267 \nL 154.523766 166.948119 \nL 153.625995 167.965045 \nL 152.578857 168.84921 \nL 151.383676 169.591009 \nL 150.041586 170.180041 \nL 148.553674 170.605075 \nL 146.921135 170.854043 \nL 145.14547 170.914088 \nL 143.228719 170.771635 \nL 141.173725 170.412543 \nL 138.984447 169.822311 \nL 136.666305 168.986387 \nL 134.226573 167.890602 \nL 131.674781 166.52169 \nL 129.02319 164.867993 \nL 126.287227 162.920328 \nL 123.485978 160.672977 \nL 120.642615 158.124851 \nL 117.784777 155.280801 \nL 114.944856 152.152978 \nL 112.160107 148.762188 \nL 109.47259 145.139135 \nL 106.928816 141.325388 \nL 104.579052 137.373911 \nL 102.476269 133.348954 \nL 100.67466 129.325128 \nL 99.227773 125.385531 \nL 98.186262 121.618876 \nL 97.595386 118.115657 \nL 97.492414 114.963632 \nL 97.90409 112.242844 \nL 98.844472 110.020861 \nL 100.313325 108.348553 \nL 102.295294 107.257049 \nL 104.759973 106.756304 \nL 107.662981 106.835325 \nL 110.947934 107.464107 \nL 114.549112 108.596934 \nL 118.394655 110.17664 \nL 122.409936 112.139179 \nL 126.52081 114.418024 \nL 130.656525 116.948041 \nL 134.752091 119.668395 \nL 138.750011 122.524614 \nL 142.601351 125.469658 \nL 146.266182 128.464202 \nL 149.713516 131.47637 \nL 152.920815 134.481032 \nL 155.873204 137.458898 \nL 158.562511 140.395525 \nL 160.986218 143.280371 \nL 163.146394 146.105904 \nL 165.048685 148.866857 \nL 166.701377 151.559588 \nL 168.114564 154.181595 \nL 169.299442 156.731117 \nL 170.267696 159.206833 \nL 171.031014 161.607639 \nL 171.600691 163.932471 \nL 171.987325 166.180187 \nL 172.20059 168.349462 \nL 172.24907 170.438685 \nL 172.140155 172.445909 \nL 171.879966 174.36876 \nL 171.473333 176.204377 \nL 170.923778 177.949316 \nL 170.233549 179.59949 \nL 169.403637 181.150041 \nL 168.43383 182.595243 \nL 167.322777 183.928371 \nL 166.068047 185.141581 \nL 164.666225 186.22575 \nL 163.112992 187.170284 \nL 161.403254 187.962979 \nL 159.531267 188.589795 \nL 157.490806 189.034698 \nL 155.27536 189.279446 \nL 152.878382 189.303417 \nL 150.29359 189.083501 \nL 147.515336 188.593981 \nL 144.539064 187.806579 \nL 141.361869 186.690601 \nL 137.983161 185.213267 \nL 134.405462 183.3403 \nL 130.635347 181.036871 \nL 126.684511 178.268974 \nL 122.571006 175.005259 \nL 118.320543 171.219552 \nL 113.967888 166.893972 \nL 109.558236 162.022717 \nL 105.148431 156.616466 \nL 100.807886 150.70707 \nL 96.619009 144.352277 \nL 92.67681 137.639754 \nL 89.087476 130.689725 \nL 85.965656 123.655229 \nL 83.430201 116.719046 \nL 81.598383 110.086539 \nL 80.578747 103.974213 \nL 80.463059 98.594418 \nL 81.318099 94.137704 \nL 83.178306 90.755152 \nL 86.040383 88.543517 \nL 89.860813 87.535986 \nL 94.556998 87.70041 \nL 100.012044 88.945446 \nL 106.082694 91.133425 \nL 112.609355 94.097351 \nL 119.426893 97.658948 \nL 126.374799 101.644752 \nL 133.305679 105.898391 \nL 140.091389 110.288049 \nL 146.626622 114.709498 \nL 152.830134 119.085566 \nL 158.644078 123.363074 \nL 164.031976 127.508717 \nL 168.975889 131.504503 \nL 173.473218 135.343566 \nL 177.533501 139.026587 \nL 181.175428 142.558953 \nL 184.424199 145.948628 \nL 187.309293 149.204701 \nL 189.862634 152.336396 \nL 192.117159 155.352478 \nL 194.105714 158.26093 \nL 195.86025 161.06884 \nL 198.787461 166.406707 \nL 201.119955 171.40514 \nL 203.046103 176.091837 \nL 208.617915 190.255342 \nL 210.311103 193.681706 \nL 212.204363 196.821856 \nL 214.374195 199.656337 \nL 215.587085 200.949585 \nL 216.898756 202.153281 \nL 218.319804 203.260788 \nL 219.861321 204.264064 \nL 221.534956 205.153438 \nL 223.352965 205.917323 \nL 225.32822 206.541939 \nL 227.474216 207.010938 \nL 229.805018 207.305041 \nL 232.335166 207.401618 \nL 235.079523 207.274232 \nL 238.053034 206.892185 \nL 241.270395 206.220077 \nL 244.745584 205.217409 \nL 248.49123 203.838315 \nL 252.517801 202.031473 \nL 256.83253 199.740349 \nL 261.438084 196.903906 \nL 266.330894 193.457974 \nL 271.499151 189.33755 \nL 276.920417 184.480293 \nL 282.558917 178.831464 \nL 288.362545 172.350626 \nL 294.259795 165.020154 \nL 300.156878 156.855469 \nL 305.935422 147.91641 \nL 311.451372 138.31864 \nL 316.53578 128.243231 \nL 320.998291 117.941855 \nL 324.634107 107.734425 \nL 327.234871 97.996459 \nL 328.603338 89.134072 \nL 328.571082 81.547527 \nL 327.01722 75.58698 \nL 323.885429 71.507943 \nL 319.195901 69.435849 \nL 313.049539 69.348829 \nL 305.622517 71.083633 \nL 297.151702 74.363915 \nL 287.913092 78.843725 \nL 278.197217 84.155697 \nL 268.285558 89.953607 \nL 248.847082 101.892435 \nL 231.101575 113.093184 \nL 215.827094 122.921523 \nL 203.210893 131.322234 \nL 193.065525 138.48509 \nL 185.01661 144.646389 \nL 178.629363 150.004476 \nL 173.480513 154.698236 \nL 163.691236 163.971964 \nL 160.280446 166.738679 \nL 158.577411 167.910285 \nL 156.8491 168.933176 \nL 155.078341 169.800084 \nL 153.250128 170.502508 \nL 151.351492 171.030756 \nL 149.371422 171.373977 \nL 147.300838 171.520225 \nL 145.132613 171.456564 \nL 142.861655 171.169234 \nL 140.485048 170.643845 \nL 138.002262 169.86571 \nL 135.415404 168.820252 \nL 132.729539 167.493557 \nL 129.953063 165.873055 \nL 127.098098 163.948409 \nL 124.180903 161.71253 \nL 121.222322 159.162796 \nL 118.248121 156.302432 \nL 115.289312 153.141932 \nL 112.382278 149.700586 \nL 109.568745 146.007847 \nL 106.89546 142.104493 \nL 104.413546 138.04336 \nL 102.177445 133.889404 \nL 100.243451 129.718956 \nL 98.667774 125.617948 \nL 97.50422 121.679057 \nL 96.801553 117.997797 \nL 96.600667 114.667699 \nL 96.931868 111.775067 \nL 97.812431 109.393646 \nL 99.244728 107.580009 \nL 101.215179 106.369964 \nL 103.694175 105.776736 \nL 106.637037 105.790982 \nL 109.986017 106.382678 \nL 113.673083 107.504579 \nL 117.623282 109.096725 \nL 121.758376 111.091449 \nL 126.000331 113.418203 \nL 130.274505 116.007754 \nL 134.512233 118.795505 \nL 138.652737 121.723682 \nL 142.644292 124.742547 \nL 146.444745 127.810717 \nL 150.021461 130.89486 \nL 153.350791 133.968919 \nL 156.417243 137.013109 \nL 159.212448 140.012827 \nL 161.734035 142.957615 \nL 163.984498 145.840189 \nL 165.970101 148.655647 \nL 167.699898 151.40078 \nL 169.184846 154.073548 \nL 170.437042 156.672655 \nL 171.4691 159.19726 \nL 172.293621 161.646733 \nL 172.922792 164.020495 \nL 173.368062 166.317866 \nL 173.639911 168.538011 \nL 173.747677 170.679816 \nL 173.699449 172.741859 \nL 173.502 174.722329 \nL 173.160748 176.618961 \nL 172.679759 178.428964 \nL 172.061766 180.148952 \nL 171.308189 181.774849 \nL 170.419196 183.301794 \nL 169.393741 184.724011 \nL 168.22964 186.034699 \nL 166.923631 187.225869 \nL 165.471462 188.288194 \nL 163.867983 189.210815 \nL 162.107256 189.981159 \nL 160.182687 190.584731 \nL 158.087191 191.004888 \nL 155.813381 191.222651 \nL 153.353824 191.216482 \nL 150.701339 190.96214 \nL 147.849388 190.432565 \nL 144.79254 189.59787 \nL 141.527049 188.425464 \nL 138.051552 186.880384 \nL 134.367925 184.925895 \nL 130.482269 182.524459 \nL 126.406062 179.639154 \nL 122.157487 176.235667 \nL 117.762856 172.284965 \nL 113.258139 167.766692 \nL 108.690472 162.673317 \nL 104.11953 157.01494 \nL 99.618597 150.824547 \nL 95.275034 144.163235 \nL 91.189956 137.124773 \nL 87.476684 129.838569 \nL 84.257784 122.469973 \nL 81.660409 115.216846 \nL 79.809922 108.301477 \nL 78.821967 101.957603 \nL 78.793577 96.413163 \nL 79.794112 91.870501 \nL 81.857276 88.486723 \nL 84.975358 86.357597 \nL 89.096871 85.508109 \nL 94.128269 85.891658 \nL 99.939714 87.398248 \nL 106.374276 89.86994 \nL 113.259247 93.120456 \nL 120.418033 96.955247 \nL 127.681141 101.188871 \nL 134.895027 105.657567 \nL 141.928223 110.226336 \nL 148.674639 114.791106 \nL 155.054323 119.277162 \nL 161.012222 123.635138 \nL 166.515648 127.836084 \nL 171.550968 131.866369 \nL 176.120051 135.723116 \nL 180.23681 139.410434 \nL 183.924032 142.936545 \nL 187.210645 146.311677 \nL 190.12944 149.546629 \nL 192.715243 152.65191 \nL 195.003488 155.637187 \nL 197.029171 158.511055 \nL 198.826081 161.280969 \nL 201.859878 166.533161 \nL 204.336388 171.43249 \nL 208.371726 180.26402 \nL 211.175497 186.079401 \nL 213.157396 189.56778 \nL 215.34301 192.728403 \nL 216.540418 194.177728 \nL 217.822285 195.533654 \nL 219.199686 196.790289 \nL 220.683856 197.940476 \nL 222.286275 198.975612 \nL 224.018736 199.885414 \nL 225.89339 200.657664 \nL 227.922757 201.277944 \nL 230.119701 201.729307 \nL 232.49737 201.991946 \nL 235.069055 202.042838 \nL 237.848011 201.855386 \nL 240.847174 201.399071 \nL 244.078771 200.639143 \nL 247.553801 199.536435 \nL 251.281355 198.047311 \nL 255.267753 196.123869 \nL 259.515445 193.714524 \nL 264.021666 190.765077 \nL 268.776822 187.220525 \nL 273.762572 183.027714 \nL 278.949656 178.139133 \nL 284.295513 172.518029 \nL 289.741794 166.144847 \nL 295.211998 159.025066 \nL 300.609477 151.19802 \nL 305.816299 142.745988 \nL 310.69339 133.802376 \nL 315.082669 124.557189 \nL 318.811629 115.257642 \nL 321.700928 106.201693 \nL 323.575049 97.722753 \nL 324.2756 90.165158 \nL 323.676194 83.852071 \nL 321.697114 79.050017 \nL 318.317371 75.936422 \nL 313.58184 74.576964 \nL 307.601575 74.918441 \nL 300.546716 76.799339 \nL 292.632654 79.975718 \nL 284.101746 84.156429 \nL 275.203536 89.039734 \nL 266.176459 94.34449 \nL 257.233401 99.831422 \nL 240.271596 110.656893 \nL 225.27214 120.621515 \nL 212.623622 129.441847 \nL 207.185758 133.430528 \nL 202.305901 137.162556 \nL 197.945755 140.660347 \nL 194.060782 143.946195 \nL 190.603131 147.040728 \nL 187.523872 149.962115 \nL 182.308671 155.344079 \nL 178.052443 160.182495 \nL 169.63698 170.169932 \nL 166.543036 173.331215 \nL 164.962345 174.721214 \nL 163.334704 175.976266 \nL 161.643821 177.088824 \nL 159.874851 178.049943 \nL 158.014272 178.849216 \nL 156.049804 179.47467 \nL 153.970375 179.912715 \nL 151.766148 180.148093 \nL 149.428599 180.163827 \nL 146.950673 179.941265 \nL 144.327005 179.460152 \nL 141.554221 178.698832 \nL 138.631343 177.634559 \nL 135.560247 176.244007 \nL 132.346253 174.503945 \nL 128.998774 172.392213 \nL 125.532059 169.888993 \nL 121.965988 166.978405 \nL 118.326889 163.65046 \nL 114.648315 159.903394 \nL 110.971751 155.74623 \nL 107.347074 151.201551 \nL 103.832755 146.308205 \nL 100.495588 141.123657 \nL 97.409801 135.725626 \nL 94.655489 130.212502 \nL 92.316173 124.702109 \nL 90.475506 119.328441 \nL 89.213196 114.23607 \nL 88.600285 109.572417 \nL 88.694196 105.478369 \nL 89.533903 102.078066 \nL 91.135899 99.469198 \nL 93.491434 97.715231 \nL 96.565514 96.840621 \nL 100.297909 96.830086 \nL 104.606198 97.631819 \nL 109.390515 99.164244 \nL 114.539527 101.325026 \nL 119.936847 104.00095 \nL 125.467333 107.077273 \nL 131.022546 110.445444 \nL 136.505031 114.008555 \nL 141.831203 117.684521 \nL 146.932873 121.40713 \nL 151.757526 125.125432 \nL 156.26766 128.802182 \nL 160.439419 132.411645 \nL 164.260835 135.937262 \nL 167.729861 139.369486 \nL 170.852415 142.703822 \nL 173.640508 145.939284 \nL 176.110582 149.077157 \nL 178.282051 152.120071 \nL 180.17609 155.07136 \nL 181.814647 157.934634 \nL 183.219662 160.713492 \nL 184.412474 163.411371 \nL 185.413386 166.031446 \nL 186.241361 168.576602 \nL 186.913827 171.049434 \nL 187.853664 175.787155 \nL 188.33894 180.260276 \nL 188.4496 184.481101 \nL 188.241677 188.459094 \nL 187.750054 192.20096 \nL 186.991129 195.710451 \nL 185.965026 198.987726 \nL 184.657181 202.028325 \nL 183.03927 204.821576 \nL 182.101508 206.119875 \nL 181.069496 207.34833 \nL 179.935861 208.502687 \nL 178.692335 209.577683 \nL 177.329726 210.566867 \nL 175.83789 211.462384 \nL 174.205709 212.254726 \nL 172.421072 212.932438 \nL 170.470872 213.481777 \nL 168.341019 213.886324 \nL 166.016486 214.12654 \nL 163.481387 214.17927 \nL 160.719127 214.01719 \nL 157.712609 213.608227 \nL 154.444554 212.914955 \nL 150.897941 211.894013 \nL 147.056625 210.495585 \nL 142.906165 208.663065 \nL 138.4349 206.332975 \nL 133.635375 203.435369 \nL 128.506116 199.894919 \nL 123.05386 195.63297 \nL 117.296259 190.570962 \nL 111.265062 184.635586 \nL 105.00973 177.76611 \nL 98.60135 169.924129 \nL 92.136541 161.105823 \nL 85.74093 151.356334 \nL 79.571479 140.785073 \nL 73.816797 129.579882 \nL 68.69434 118.016723 \nL 64.443354 106.460763 \nL 61.312791 95.354437 \nL 59.54384 85.188944 \nL 59.348057 76.459087 \nL 60.883084 69.605516 \nL 64.229887 64.954202 \nL 69.375821 62.666626 \nL 76.207811 62.714127 \nL 84.518285 64.88478 \nL 94.02375 68.821875 \nL 104.392769 74.083793 \nL 115.278029 80.209599 \nL 126.346584 86.775168 \nL 208.377309 136.616004 \nL 216.925369 142.160214 \nL 223.684596 146.799793 \nL 237.548054 156.657227 \nL 241.134723 158.766184 \nL 242.868846 159.60153 \nL 244.591255 160.286237 \nL 246.318865 160.815634 \nL 248.065719 161.184274 \nL 249.84314 161.386081 \nL 251.659853 161.414546 \nL 253.522082 161.262946 \nL 255.433567 160.924558 \nL 257.395582 160.392949 \nL 259.406915 159.662306 \nL 261.463782 158.727789 \nL 263.559778 157.586001 \nL 265.685765 156.235453 \nL 267.829797 154.677132 \nL 269.97706 152.915081 \nL 272.109817 150.956974 \nL 274.20746 148.814769 \nL 276.246609 146.505187 \nL 278.201319 144.0502 \nL 280.043427 141.477303 \nL 281.743042 138.819564 \nL 283.269182 136.115438 \nL 284.590598 133.40819 \nL 285.676733 130.744979 \nL 286.498811 128.175553 \nL 287.031028 125.750631 \nL 287.251758 123.519976 \nL 287.144722 121.530325 \nL 286.699993 119.823314 \nL 285.914835 118.433596 \nL 284.794214 117.387278 \nL 283.350953 116.700835 \nL 281.605501 116.380649 \nL 279.585345 116.423164 \nL 277.324025 116.815631 \nL 274.859899 117.537355 \nL 272.234688 118.561326 \nL 269.491962 119.856017 \nL 266.675623 121.387209 \nL 263.828514 123.11968 \nL 260.991202 125.018669 \nL 258.200997 127.05104 \nL 255.491263 129.186079 \nL 252.890961 131.39603 \nL 250.424473 133.656298 \nL 248.111609 135.945483 \nL 245.967823 138.245193 \nL 244.00453 140.53979 \nL 242.229536 142.816048 \nL 240.647516 145.062803 \nL 239.260514 147.270566 \nL 238.068434 149.431229 \nL 237.069514 151.53771 \nL 236.260759 153.583713 \nL 235.638328 155.563476 \nL 235.197872 157.471562 \nL 234.934827 159.302687 \nL 234.844639 161.051556 \nL 234.922968 162.712734 \nL 235.16582 164.280526 \nL 235.569656 165.748848 \nL 236.131445 167.111148 \nL 236.848708 168.360294 \nL 237.719504 169.488476 \nL 238.742401 170.487131 \nL 239.916403 171.346857 \nL 241.240868 172.057348 \nL 242.715378 172.60733 \nL 244.339591 172.984539 \nL 246.113049 173.175701 \nL 248.034949 173.166578 \nL 250.103887 172.942033 \nL 252.317551 172.486203 \nL 254.67237 171.782723 \nL 257.16311 170.815094 \nL 259.782445 169.567131 \nL 262.520451 168.023617 \nL 265.364102 166.171108 \nL 268.29672 163.99894 \nL 271.29743 161.500426 \nL 274.340626 158.674254 \nL 277.395536 155.526025 \nL 280.425902 152.069898 \nL 283.389814 148.330236 \nL 286.239819 144.343061 \nL 288.923378 140.157177 \nL 291.38369 135.834746 \nL 293.561026 131.450977 \nL 295.394542 127.092873 \nL 296.824565 122.85668 \nL 297.79533 118.844197 \nL 298.257999 115.157857 \nL 298.173718 111.895121 \nL 297.51654 109.142405 \nL 296.275825 106.969557 \nL 294.45786 105.425133 \nL 292.086486 104.533504 \nL 289.202525 104.293973 \nL 285.862106 104.681981 \nL 282.133881 105.652427 \nL 278.095557 107.144295 \nL 273.829959 109.086173 \nL 269.421041 111.401848 \nL 264.950235 114.015261 \nL 260.49335 116.854605 \nL 256.11819 119.855149 \nL 251.883025 122.960872 \nL 247.835795 126.1251 \nL 244.01402 129.310253 \nL 240.445246 132.487075 \nL 237.147888 135.633517 \nL 234.132339 138.733522 \nL 231.402169 141.775814 \nL 228.9554 144.752778 \nL 226.785699 147.659536 \nL 224.883491 150.493145 \nL 223.236956 153.252005 \nL 221.832868 155.935375 \nL 220.657323 158.543009 \nL 219.69631 161.074924 \nL 218.936184 163.531213 \nL 218.364016 165.911894 \nL 217.967866 168.216838 \nL 217.736962 170.445697 \nL 217.661837 172.597833 \nL 217.734401 174.672275 \nL 217.947979 176.667679 \nL 218.297316 178.582267 \nL 218.778566 180.413748 \nL 219.389263 182.159282 \nL 220.128277 183.815363 \nL 220.995764 185.377751 \nL 221.993112 186.841342 \nL 223.122891 188.200059 \nL 224.388776 189.446687 \nL 225.795486 190.572723 \nL 227.348705 191.568196 \nL 229.054991 192.421446 \nL 230.92167 193.118926 \nL 232.956702 193.644944 \nL 235.168524 193.98143 \nL 237.565835 194.107684 \nL 240.157349 194.000147 \nL 242.951459 193.632197 \nL 245.95582 192.974023 \nL 249.176847 191.992596 \nL 252.619059 190.6518 \nL 256.284303 188.912788 \nL 260.170796 186.734698 \nL 264.271999 184.075717 \nL 268.575306 180.894776 \nL 273.060527 177.15388 \nL 277.698258 172.821238 \nL 282.44812 167.875276 \nL 287.257036 162.309545 \nL 292.057694 156.138391 \nL 296.767369 149.403087 \nL 301.287485 142.177872 \nL 305.504191 134.575005 \nL 309.290392 126.74772 \nL 312.509528 118.889724 \nL 315.021355 111.229918 \nL 316.689745 104.021459 \nL 317.392177 97.524988 \nL 317.030137 91.987254 \nL 315.539317 87.617543 \nL 312.898145 84.565677 \nL 309.133144 82.905691 \nL 304.319967 82.628598 \nL 298.579533 83.646103 \nL 292.069561 85.804433 \nL 284.972717 88.905485 \nL 277.482972 92.730797 \nL 269.792249 97.064086 \nL 262.078884 101.708864 \nL 254.499061 106.499652 \nL 247.181597 111.306761 \nL 240.225945 116.035802 \nL 233.702783 120.623744 \nL 227.656495 125.033195 \nL 222.108726 129.246234 \nL 217.062432 133.258708 \nL 212.505912 137.075434 \nL 208.416541 140.706512 \nL 204.764038 144.164605 \nL 201.513185 147.463107 \nL 198.626023 150.614978 \nL 196.063556 153.63209 \nL 193.787027 156.524876 \nL 189.943133 161.971676 \nL 186.816907 167.009559 \nL 182.956805 173.870321 \nL 179.519736 179.936201 \nL 177.208467 183.534858 \nL 174.735083 186.75684 \nL 173.403031 188.216772 \nL 171.99014 189.568707 \nL 170.483916 190.805681 \nL 168.872079 191.919323 \nL 167.142477 192.899687 \nL 165.283013 193.735041 \nL 163.281622 194.411642 \nL 161.126288 194.913484 \nL 158.805091 195.222042 \nL 156.30635 195.316018 \nL 153.618788 195.171086 \nL 150.731817 194.759684 \nL 147.635907 194.050878 \nL 144.323077 193.010308 \nL 140.787523 191.600346 \nL 137.026408 189.780454 \nL 133.040829 187.507932 \nL 128.836991 184.739081 \nL 124.427573 181.430972 \nL 119.833307 177.543939 \nL 115.084703 173.044958 \nL 110.223907 167.911919 \nL 105.306483 162.138908 \nL 100.403073 155.742282 \nL 95.600572 148.767217 \nL 91.002567 141.294115 \nL 86.72862 133.443896 \nL 82.912019 125.38091 \nL 79.695591 117.311984 \nL 77.225362 109.480257 \nL 75.642102 102.152764 \nL 75.0711 95.601916 \nL 75.611066 90.082086 \nL 77.32345 85.804416 \nL 80.223736 82.913877 \nL 84.276346 81.473067 \nL 89.39433 81.456354 \nL 95.444286 82.755852 \nL 102.256092 85.198066 \nL 109.636018 88.567514 \nL 117.381283 92.632561 \nL 125.293972 97.168738 \nL 133.192732 101.976188 \nL 140.921053 106.89006 \nL 148.351999 111.784053 \nL 155.389577 116.568713 \nL 161.967527 121.186541 \nL 168.046313 125.605472 \nL 173.609146 129.812333 \nL 178.657654 133.806911 \nL 183.207671 137.597155 \nL 187.285416 141.195513 \nL 190.924219 144.61635 \nL 194.161815 147.874227 \nL 197.038202 150.982869 \nL 199.593998 153.954574 \nL 201.869234 156.799986 \nL 205.730389 162.146082 \nL 208.904558 167.074105 \nL 216.557892 179.583168 \nL 219.065206 182.995649 \nL 220.388143 184.549298 \nL 221.776491 185.994908 \nL 223.2438 187.326352 \nL 224.803106 188.536192 \nL 226.467065 189.61557 \nL 228.248042 190.553998 \nL 230.158164 191.339179 \nL 232.209347 191.956787 \nL 234.413268 192.390254 \nL 236.781287 192.620539 \nL 239.324299 192.625917 \nL 242.052527 192.381782 \nL 244.975212 191.860529 \nL 248.100209 191.031494 \nL 251.433448 189.861062 \nL 254.978287 188.312949 \nL 258.734674 186.348784 \nL 262.698165 183.929027 \nL 266.858751 181.014405 \nL 271.199501 177.56792 \nL 275.695087 173.557573 \nL 280.310161 168.959887 \nL 284.997747 163.764234 \nL 289.697724 157.977932 \nL 294.335636 151.631878 \nL 298.822055 144.786255 \nL 303.052789 137.535587 \nL 306.91035 130.012294 \nL 310.266906 122.38737 \nL 312.989083 114.867183 \nL 314.944642 107.685188 \nL 316.010835 101.088303 \nL 316.083939 95.318492 \nL 315.089008 90.59134 \nL 312.98859 87.074641 \nL 309.789079 84.870733 \nL 305.543393 84.00596 \nL 300.349295 84.429743 \nL 294.343204 86.023456 \nL 287.690337 88.617364 \nL 280.57252 92.012017 \nL 273.175358 96.00017 \nL 265.676514 100.385488 \nL 258.236268 104.995904 \nL 250.991111 109.690957 \nL 244.050405 114.363681 \nL 237.495772 118.938519 \nL 231.382568 123.366759 \nL 225.742754 127.621002 \nL 220.588486 131.689631 \nL 215.915947 135.571907 \nL 211.709025 139.273998 \nL 207.942642 142.80593 \nL 204.58561 146.179479 \nL 201.60298 149.406712 \nL 198.957923 152.499101 \nL 196.613163 155.46707 \nL 194.532043 158.319732 \nL 191.021438 163.708989 \nL 188.167795 168.714485 \nL 184.642177 175.566729 \nL 181.496263 181.671558 \nL 179.375494 185.326327 \nL 177.100767 188.633824 \nL 175.873428 190.149545 \nL 174.56984 191.56729 \nL 173.178116 192.881267 \nL 171.686458 194.084436 \nL 170.083055 195.168345 \nL 168.356002 196.122925 \nL 166.493249 196.936256 \nL 164.482577 197.594315 \nL 162.311615 198.080707 \nL 159.967913 198.376364 \nL 157.439054 198.45924 \nL 154.712854 198.30401 \nL 151.777628 197.881802 \nL 148.62257 197.159971 \nL 145.238262 196.101991 \nL 141.617312 194.667499 \nL 137.755193 192.812598 \nL 133.651249 190.490494 \nL 129.309957 187.652639 \nL 124.742396 184.250472 \nL 119.967982 180.238015 \nL 115.016391 175.575375 \nL 109.929655 170.233406 \nL 104.764273 164.199497 \nL 99.593195 157.48442 \nL 94.50737 150.129883 \nL 89.616531 142.216165 \nL 85.048765 133.868709 \nL 80.948347 125.262242 \nL 77.471433 116.620657 \nL 74.779222 108.210815 \nL 73.028568 100.329102 \nL 72.360448 93.280421 \nL 72.887175 87.351104 \nL 74.679958 82.779271 \nL 77.758579 79.727525 \nL 82.085263 78.263602 \nL 87.564134 78.353481 \nL 94.046907 79.868734 \nL 101.344205 82.606831 \nL 109.240872 86.319542 \nL 117.512819 90.743579 \nL 125.942991 95.62765 \nL 134.334451 100.752068 \nL 142.519409 105.939544 \nL 157.769099 116.017472 \nL 171.025592 125.268446 \nL 176.82718 129.525437 \nL 182.080009 133.539852 \nL 186.805262 137.324895 \nL 191.03452 140.897554 \nL 194.806232 144.275903 \nL 198.162872 147.47742 \nL 201.148719 150.518019 \nL 203.808196 153.411553 \nL 208.319668 158.80201 \nL 212.018961 163.717431 \nL 220.833245 175.90076 \nL 223.674498 179.101392 \nL 225.164412 180.525523 \nL 226.721538 181.823966 \nL 228.36035 182.988901 \nL 230.094451 184.011051 \nL 231.936691 184.879559 \nL 233.899223 185.581813 \nL 235.993517 186.10333 \nL 238.230331 186.427566 \nL 240.619612 186.535827 \nL 243.170339 186.407143 \nL 245.890272 186.018216 \nL 248.785637 185.343491 \nL 251.860687 184.355286 \nL 255.117166 183.02414 \nL 258.553654 181.319359 \nL 262.164765 179.209874 \nL 265.940253 176.665441 \nL 269.86395 173.658311 \nL 273.912662 170.165388 \nL 278.054959 166.170963 \nL 282.250024 161.669981 \nL 286.446605 156.671779 \nL 290.582206 151.204155 \nL 294.582769 145.317396 \nL 298.36295 139.087798 \nL 301.827323 132.620056 \nL 304.872664 126.047704 \nL 307.391498 119.530921 \nL 309.276971 113.250954 \nL 310.428886 107.400965 \nL 310.760625 102.173528 \nL 310.206298 97.745883 \nL 308.727352 94.264686 \nL 306.31773 91.832513 \nL 303.006717 90.498432 \nL 298.858869 90.254476 \nL 293.970775 91.038678 \nL 288.465009 92.744106 \nL 282.481923 95.232238 \nL 276.170427 98.348148 \nL 269.678813 101.935018 \nL 263.14673 105.84609 \nL 256.698944 109.952903 \nL 250.441185 114.14968 \nL 244.458153 118.354302 \nL 238.813298 122.506846 \nL 233.550028 126.566557 \nL 228.693823 130.508205 \nL 224.254888 134.318386 \nL 220.230955 137.992192 \nL 216.61003 141.530437 \nL 213.37289 144.937498 \nL 210.495281 148.219704 \nL 207.94976 151.384246 \nL 205.707183 154.438435 \nL 203.737887 157.389248 \nL 202.012575 160.24311 \nL 200.502967 163.005782 \nL 198.025338 168.277274 \nL 196.112251 173.237183 \nL 194.601626 177.910971 \nL 192.807182 184.426784 \nL 190.2829 194.077624 \nL 189.229642 197.540678 \nL 188.066209 200.783352 \nL 186.740692 203.805017 \nL 185.200266 206.599992 \nL 183.388164 209.155759 \nL 182.360731 210.337552 \nL 181.240907 211.450403 \nL 180.019281 212.489504 \nL 178.685708 213.448913 \nL 177.229241 214.321352 \nL 175.638063 215.097964 \nL 173.899437 215.768021 \nL 171.999666 216.318594 \nL 169.924064 216.734153 \nL 167.656975 216.996128 \nL 165.181805 217.082395 \nL 162.481125 216.966705 \nL 159.536833 216.618063 \nL 156.33041 216.000064 \nL 152.843313 215.070214 \nL 149.05749 213.77931 \nL 144.956154 212.070904 \nL 140.524758 209.881011 \nL 135.75233 207.1382 \nL 130.633163 203.764285 \nL 125.168972 199.675943 \nL 119.37157 194.787571 \nL 113.266071 189.0159 \nL 106.894619 182.286775 \nL 100.320574 174.544544 \nL 93.632881 165.764361 \nL 86.950237 155.967116 \nL 80.424448 145.236315 \nL 74.241985 133.734885 \nL 68.622714 121.718908 \nL 63.814375 109.543774 \nL 60.081782 97.657569 \nL 57.68998 86.577147 \nL 56.881793 76.844542 \nL 57.851596 68.966489 \nL 60.718814 63.345802 \nL 65.506165 60.219187 \nL 72.127715 59.617892 \nL 80.390645 61.363451 \nL 90.011669 65.101352 \nL 100.645595 70.363644 \nL 111.920352 76.643441 \nL 123.471723 83.462497 \nL 166.761183 109.571498 \nL 184.367052 119.857012 \nL 215.085832 137.620012 \nL 226.469587 144.573061 \nL 238.885845 152.419655 \nL 242.637656 154.506249 \nL 246.087094 156.026063 \nL 247.754892 156.570547 \nL 249.407984 156.967967 \nL 251.05992 157.214952 \nL 252.721372 157.307742 \nL 254.400297 157.242422 \nL 256.10207 157.015136 \nL 257.829562 156.622346 \nL 259.583215 156.061097 \nL 261.361067 155.329306 \nL 263.158802 154.426096 \nL 264.96973 153.352138 \nL 266.784843 152.110055 \nL 268.592814 150.704773 \nL 270.380069 149.143924 \nL 272.130867 147.438216 \nL 273.827456 145.601722 \nL 275.45029 143.652134 \nL 276.97831 141.610913 \nL 278.389338 139.503232 \nL 279.660542 137.357811 \nL 280.769023 135.206526 \nL 281.692473 133.083783 \nL 282.409911 131.025722 \nL 282.902448 129.069156 \nL 283.154093 127.250413 \nL 283.1525 125.604051 \nL 282.889664 124.161565 \nL 282.362459 122.950184 \nL 281.573009 121.991805 \nL 280.528897 121.302205 \nL 279.243066 120.890574 \nL 277.733555 120.759372 \nL 276.022968 120.904581 \nL 274.13776 121.316246 \nL 272.107391 121.979296 \nL 269.963351 122.874541 \nL 267.738176 123.979763 \nL 265.464504 125.270829 \nL 263.174164 126.722685 \nL 260.897413 128.31027 \nL 256.494243 131.796564 \nL 252.445792 135.552343 \nL 248.893989 139.42879 \nL 247.33541 141.37397 \nL 245.932788 143.306759 \nL 244.69147 145.216224 \nL 243.614813 147.092612 \nL 242.704493 148.927166 \nL 241.960831 150.711912 \nL 241.383084 152.439482 \nL 240.969709 154.102923 \nL 240.718607 155.695546 \nL 240.627316 157.210791 \nL 240.693186 158.642088 \nL 240.913518 159.982773 \nL 241.285647 161.225954 \nL 241.807017 162.364441 \nL 242.475221 163.390684 \nL 243.287983 164.296677 \nL 244.243148 165.073927 \nL 245.338617 165.713422 \nL 246.572268 166.205614 \nL 247.941831 166.540403 \nL 249.444749 166.707201 \nL 251.078001 166.695007 \nL 252.837909 166.49251 \nL 254.71989 166.088283 \nL 256.718207 165.471015 \nL 258.825669 164.62984 \nL 261.033331 163.554751 \nL 263.330139 162.23711 \nL 265.702628 160.670271 \nL 268.134551 158.850294 \nL 270.6066 156.77678 \nL 273.096105 154.453761 \nL 275.576867 151.890667 \nL 278.019048 149.103248 \nL 280.389255 146.114456 \nL 282.650743 142.95513 \nL 284.763907 139.664415 \nL 286.686967 136.28981 \nL 288.37699 132.886664 \nL 289.791142 129.517098 \nL 290.888218 126.248286 \nL 291.63036 123.150085 \nL 291.984901 120.29213 \nL 291.926196 117.740549 \nL 291.437329 115.554545 \nL 290.511468 113.783269 \nL 289.152836 112.463109 \nL 287.377054 111.615935 \nL 285.210887 111.248248 \nL 282.69134 111.351573 \nL 279.864143 111.903801 \nL 276.781799 112.871473 \nL 273.501282 114.212583 \nL 270.08167 115.879666 \nL 266.581834 117.822736 \nL 263.058324 119.991985 \nL 259.563656 122.33992 \nL 256.144987 124.82287 \nL 252.843262 127.401988 \nL 249.692761 130.043644 \nL 246.721043 132.719449 \nL 243.9492 135.405925 \nL 241.392327 138.084037 \nL 239.060169 140.738559 \nL 236.957845 143.357452 \nL 235.086624 145.931243 \nL 233.444675 148.452486 \nL 232.027778 150.915268 \nL 230.829988 153.314789 \nL 229.844213 155.647024 \nL 229.062714 157.908458 \nL 228.477526 160.095841 \nL 228.080807 162.206016 \nL 227.865112 164.235756 \nL 227.823608 166.181651 \nL 227.95024 168.03999 \nL 228.239828 169.806636 \nL 228.688151 171.476961 \nL 229.291974 173.045715 \nL 230.049054 174.506932 \nL 230.95812 175.853829 \nL 232.018826 177.078697 \nL 233.23169 178.172763 \nL 234.597988 179.126087 \nL 236.119654 179.927437 \nL 237.799137 180.564149 \nL 239.639232 181.022047 \nL 241.642865 181.285311 \nL 243.812868 181.336446 \nL 246.151668 181.156228 \nL 248.660952 180.723774 \nL 251.341247 180.016669 \nL 254.191434 179.011223 \nL 257.208189 177.682903 \nL 260.385339 176.006961 \nL 263.713114 173.959341 \nL 267.177358 171.51785 \nL 270.758632 168.663716 \nL 274.431329 165.383535 \nL 278.162762 161.671547 \nL 281.912362 157.532321 \nL 285.631018 152.983609 \nL 289.260737 148.059313 \nL 292.734709 142.812159 \nL 295.977949 137.31579 \nL 298.908679 131.665702 \nL 301.440578 125.978614 \nL 303.485923 120.389711 \nL 304.959675 115.04752 \nL 305.784278 110.106333 \nL 305.894885 105.716607 \nL 305.244569 102.014226 \nL 303.808913 99.109799 \nL 301.58941 97.079608 \nL 298.61508 95.959579 \nL 294.941981 95.743262 \nL 290.650533 96.384332 \nL 285.840874 97.802966 \nL 280.626789 99.895108 \nL 275.128908 102.543036 \nL 269.46797 105.625587 \nL 263.758754 109.026878 \nL 258.10527 112.642647 \nL 252.597399 116.38407 \nL 247.309023 120.179223 \nL 242.297507 123.972683 \nL 237.60426 127.723901 \nL 233.256079 131.404923 \nL 229.266982 134.997877 \nL 225.640258 138.492562 \nL 222.370562 141.884347 \nL 219.445903 145.172425 \nL 216.849434 148.358454 \nL 214.561015 151.44555 \nL 212.558516 154.437575 \nL 210.818884 157.338666 \nL 209.318983 160.152924 \nL 208.036232 162.884238 \nL 206.949074 165.536191 \nL 206.037305 168.11205 \nL 205.28228 170.614751 \nL 204.176327 175.410959 \nL 203.51612 179.942839 \nL 203.213119 184.22507 \nL 203.202897 188.269719 \nL 203.442063 192.08667 \nL 203.905218 195.683752 \nL 204.582372 199.066547 \nL 205.476965 202.237935 \nL 206.604576 205.197331 \nL 207.992295 207.939516 \nL 209.678712 210.45293 \nL 210.649257 211.61792 \nL 211.714449 212.71722 \nL 212.882658 213.746335 \nL 214.163151 214.699697 \nL 215.56613 215.570477 \nL 217.102785 216.35034 \nL 218.78533 217.029162 \nL 220.627038 217.594721 \nL 222.642255 218.032294 \nL 224.846402 218.324236 \nL 227.255943 218.449464 \nL 229.888298 218.382897 \nL 232.761704 218.09481 \nL 235.894992 217.550168 \nL 239.307249 216.707913 \nL 243.017333 215.520274 \nL 247.043184 213.932149 \nL 251.400926 211.880661 \nL 256.103624 209.295059 \nL 261.159696 206.097133 \nL 266.570869 202.20245 \nL 272.329607 197.522765 \nL 278.416014 191.970053 \nL 284.794123 185.462661 \nL 291.407697 177.934032 \nL 298.175682 169.344458 \nL 304.9877 159.695792 \nL 311.700105 149.048607 \nL 318.133507 137.540242 \nL 324.072856 125.400908 \nL 329.271458 112.963615 \nL 333.460176 100.66258 \nL 336.362881 89.01463 \nL 337.718108 78.580128 \nL 337.305598 69.904325 \nL 334.974472 63.446182 \nL 330.668284 59.508764 \nL 324.441281 58.188519 \nL 316.461213 59.358993 \nL 306.996535 62.695253 \nL 296.38964 67.733196 \nL 285.021246 73.947008 \nL 273.273182 80.824424 \nL 228.632942 107.665208 \nL 210.294368 118.269988 \nL 166.29789 143.216216 \nL 153.49532 150.823159 \nL 149.709986 152.806778 \nL 146.284183 154.234653 \nL 144.648091 154.740061 \nL 143.039384 155.104497 \nL 141.444197 155.325741 \nL 139.851615 155.401264 \nL 138.25347 155.328421 \nL 136.644213 155.104693 \nL 135.020777 154.727926 \nL 133.382479 154.196589 \nL 131.730945 153.51001 \nL 130.070055 152.668699 \nL 128.405873 151.674622 \nL 126.746598 150.531541 \nL 125.102473 149.245292 \nL 123.48572 147.824096 \nL 121.910392 146.278821 \nL 120.392199 144.623209 \nL 118.9483 142.874016 \nL 117.596993 141.051027 \nL 116.357348 139.17703 \nL 115.248806 137.277556 \nL 114.290643 135.380515 \nL 113.501428 133.515659 \nL 112.898397 131.71385 \nL 112.496829 130.006261 \nL 112.309424 128.423372 \nL 112.345699 126.994008 \nL 112.61147 125.744317 \nL 113.108451 124.696841 \nL 113.833956 123.869733 \nL 114.780829 123.276156 \nL 115.937483 122.923915 \nL 117.288168 122.81539 \nL 118.813398 122.947699 \nL 120.490508 123.313097 \nL 122.294338 123.899611 \nL 124.198017 124.69177 \nL 126.173708 125.671457 \nL 128.193416 126.818751 \nL 132.256202 129.532126 \nL 136.183774 132.664442 \nL 139.806104 136.059802 \nL 142.992789 139.5829 \nL 145.653403 143.121316 \nL 147.732968 146.583315 \nL 148.54564 148.261571 \nL 149.204835 149.893399 \nL 149.71035 151.471071 \nL 150.062794 152.98726 \nL 150.263396 154.434895 \nL 150.313829 155.807057 \nL 150.216062 157.096855 \nL 149.972258 158.297343 \nL 149.584691 159.401433 \nL 149.055685 160.401824 \nL 148.387592 161.290934 \nL 147.582798 162.060874 \nL 146.643755 162.703399 \nL 145.573035 163.209921 \nL 144.373414 163.571498 \nL 143.047994 163.778888 \nL 141.600323 163.822619 \nL 140.034576 163.69311 \nL 138.355726 163.380804 \nL 136.569767 162.876401 \nL 134.683942 162.171117 \nL 132.706981 161.25704 \nL 130.649383 160.12754 \nL 128.523654 158.777766 \nL 126.344575 157.205217 \nL 124.12944 155.410387 \nL 121.898237 153.397435 \nL 119.673791 151.174942 \nL 117.481821 148.756589 \nL 115.350868 146.161804 \nL 113.312082 143.416262 \nL 111.398872 140.552214 \nL 109.646315 137.608472 \nL 108.090414 134.63008 \nL 106.767109 131.66754 \nL 105.71113 128.775555 \nL 104.954657 126.011334 \nL 104.525928 123.432471 \nL 104.447819 121.094535 \nL 104.736513 119.04854 \nL 105.400349 117.338466 \nL 106.439001 115.999125 \nL 107.843038 115.054532 \nL 109.593935 114.516907 \nL 111.664583 114.386573 \nL 114.020224 114.652517 \nL 116.61982 115.293723 \nL 119.417688 116.281018 \nL 122.365281 117.579223 \nL 125.413042 119.149431 \nL 128.512129 120.951138 \nL 131.615947 122.944125 \nL 134.681394 125.089972 \nL 137.669805 127.353142 \nL 140.547544 129.701673 \nL 143.286305 132.107466 \nL 145.863127 134.546327 \nL 148.260192 136.997774 \nL 150.464442 139.444694 \nL 152.467085 141.872893 \nL 154.263038 144.270686 \nL 155.850328 146.628425 \nL 157.229505 148.938092 \nL 158.403079 151.192923 \nL 159.375005 153.387079 \nL 160.150218 155.515379 \nL 160.734232 157.573049 \nL 161.132794 159.555535 \nL 161.351613 161.458311 \nL 161.396119 163.276765 \nL 161.271294 165.006037 \nL 160.981551 166.640928 \nL 160.530631 168.17577 \nL 159.921568 169.604344 \nL 159.156671 170.919755 \nL 158.237535 172.114346 \nL 157.165087 173.179598 \nL 155.939651 174.106023 \nL 154.561061 174.883094 \nL 153.028776 175.499153 \nL 151.34204 175.941326 \nL 149.50008 176.195519 \nL 147.502335 176.246364 \nL 145.348714 176.077311 \nL 143.039938 175.670675 \nL 140.577886 175.007872 \nL 137.966043 174.069712 \nL 135.209964 172.836836 \nL 132.317833 171.290335 \nL 129.301055 169.412578 \nL 126.174883 167.188254 \nL 122.959107 164.605681 \nL 119.678712 161.658383 \nL 116.364491 158.346878 \nL 113.05356 154.68068 \nL 109.789718 150.680358 \nL 106.62354 146.379567 \nL 103.6121 141.826745 \nL 100.818244 137.086284 \nL 98.309328 132.23877 \nL 96.155294 127.380067 \nL 94.426175 122.618885 \nL 93.188925 118.072768 \nL 92.503858 113.862477 \nL 92.420828 110.105124 \nL 92.975497 106.906636 \nL 94.186116 104.354409 \nL 96.051139 102.510937 \nL 98.548097 101.409595 \nL 101.633877 101.052852 \nL 105.246558 101.413527 \nL 109.308578 102.438622 \nL 113.730962 104.055276 \nL 118.418146 106.177713 \nL 123.272929 108.71447 \nL 128.201044 111.574816 \nL 133.114994 114.673894 \nL 137.936983 117.936221 \nL 142.600756 121.297601 \nL 147.052496 124.705683 \nL 151.250851 128.11944 \nL 155.166291 131.507983 \nL 158.779988 134.849051 \nL 162.082438 138.127334 \nL 165.071927 141.332953 \nL 167.753009 144.460044 \nL 170.135062 147.505647 \nL 172.230976 150.468765 \nL 174.056011 153.349679 \nL 175.62683 156.149428 \nL 176.960689 158.869441 \nL 178.074814 161.511293 \nL 178.985889 164.07654 \nL 179.709692 166.566621 \nL 180.260829 168.982779 \nL 180.652546 171.326033 \nL 180.896618 173.597152 \nL 181.003292 175.796635 \nL 180.981263 177.924706 \nL 180.837695 179.981269 \nL 180.578244 181.965891 \nL 180.20711 183.877798 \nL 179.727088 185.715781 \nL 179.139623 187.478182 \nL 178.444865 189.162812 \nL 177.641724 190.766872 \nL 176.727925 192.286874 \nL 175.70004 193.718511 \nL 174.553541 195.056537 \nL 173.282839 196.29462 \nL 171.881318 197.425167 \nL 170.341378 198.439114 \nL 168.654488 199.325718 \nL 166.811243 200.072286 \nL 164.801442 200.663893 \nL 162.614192 201.083081 \nL 160.238048 201.309511 \nL 157.66121 201.31962 \nL 154.871767 201.086276 \nL 151.858045 200.578439 \nL 148.609038 199.760904 \nL 145.114987 198.59414 \nL 141.368113 197.034309 \nL 137.363528 195.033543 \nL 133.100383 192.540624 \nL 128.583246 189.502195 \nL 123.823777 185.86471 \nL 118.842652 181.577262 \nL 113.671734 176.595576 \nL 108.356443 170.887257 \nL 102.958144 164.438372 \nL 97.556419 157.261305 \nL 92.250803 149.403428 \nL 87.161679 140.955786 \nL 82.429719 132.060594 \nL 78.213332 122.91566 \nL 74.68359 113.773636 \nL 72.01622 104.934123 \nL 70.380678 96.726898 \nL 69.926789 89.486629 \nL 70.770243 83.520755 \nL 72.978675 79.07541 \nL 76.560752 76.305266 \nL 81.460402 75.254217 \nL 87.557818 75.851495 \nL 94.67763 77.924695 \nL 102.60324 81.226762 \nL 111.094991 85.470615 \nL 119.909284 90.364012 \nL 128.815828 95.638304 \nL 137.610938 101.06737 \nL 154.230649 111.740551 \nL 168.876003 121.556407 \nL 181.19796 130.26196 \nL 186.489368 134.208348 \nL 191.235382 137.907614 \nL 195.474443 141.381262 \nL 199.250749 144.650542 \nL 202.611478 147.735068 \nL 205.604678 150.652046 \nL 210.676329 156.038904 \nL 214.820216 160.896629 \nL 223.043825 170.980114 \nL 226.082348 174.197553 \nL 227.638092 175.619685 \nL 229.242304 176.909746 \nL 230.911145 178.060333 \nL 232.659429 179.062647 \nL 234.500745 179.906409 \nL 236.447531 180.579764 \nL 238.511131 181.069182 \nL 240.701766 181.359397 \nL 243.028457 181.433346 \nL 245.498891 181.272138 \nL 248.119196 180.855129 \nL 250.893652 180.160075 \nL 253.824302 179.16336 \nL 256.910472 177.84046 \nL 260.148196 176.166569 \nL 263.529547 174.117502 \nL 267.041856 171.670897 \nL 270.666912 168.807802 \nL 274.380055 165.514593 \nL 278.149295 161.78533 \nL 281.934534 157.624464 \nL 285.686924 153.049746 \nL 289.348513 148.095224 \nL 292.852323 142.813997 \nL 296.123005 137.280347 \nL 299.07825 131.590706 \nL 301.631062 125.863044 \nL 303.692959 120.234102 \nL 305.1781 114.854163 \nL 306.008162 109.879362 \nL 306.11767 105.461963 \nL 305.459279 101.739363 \nL 304.00845 98.823278 \nL 301.766882 96.790482 \nL 298.76417 95.676734 \nL 295.057267 95.474799 \nL 290.72777 96.137006 \nL 285.877173 97.581833 \nL 280.620669 99.703385 \nL 275.08028 102.382117 \nL 269.377957 105.495304 \nL 263.629501 108.9258 \nL 257.939685 112.568476 \nL 252.398882 116.333999 \nL 247.081226 120.150197 \nL 242.044111 123.96168 \nL 237.328802 127.728079 \nL 232.961828 131.421729 \nL 228.956849 135.025083 \nL 225.316741 138.528285 \nL 222.035732 141.927023 \nL 219.101396 145.220777 \nL 216.496473 148.411453 \nL 214.200427 151.502386 \nL 212.190774 154.49762 \nL 210.444133 157.401434 \nL 208.937074 160.21804 \nL 207.646751 162.951439 \nL 206.551372 165.605298 \nL 205.630517 168.182952 \nL 204.865348 170.687398 \nL 203.735223 175.487172 \nL 203.044572 180.023077 \nL 202.703569 184.31021 \nL 202.646444 188.361122 \nL 202.828296 192.186327 \nL 203.22197 195.794433 \nL 203.815381 199.192078 \nL 204.609449 202.383575 \nL 205.616723 205.370316 \nL 206.860658 208.149833 \nL 208.375512 210.71442 \nL 210.206799 213.049098 \nL 211.258626 214.122868 \nL 212.412218 215.128739 \nL 213.676908 216.061304 \nL 215.062968 216.913911 \nL 216.581662 217.678431 \nL 218.245286 218.344978 \nL 220.067216 218.901584 \nL 222.061928 219.333822 \nL 224.245006 219.624351 \nL 226.633113 219.752422 \nL 229.243938 219.693292 \nL 232.096055 219.417578 \nL 235.208719 218.890569 \nL 238.60155 218.071468 \nL 242.294072 216.912677 \nL 246.30506 215.359105 \nL 250.651656 213.34766 \nL 255.348167 210.807031 \nL 260.404497 207.657981 \nL 265.82414 203.814407 \nL 271.601615 199.185581 \nL 277.719352 193.679953 \nL 284.143966 187.211113 \nL 290.821954 179.706372 \nL 297.674986 171.118465 \nL 304.59517 161.440432 \nL 311.440749 150.723247 \nL 318.033166 139.094784 \nL 324.156599 126.777351 \nL 329.561342 114.099472 \nL 333.972534 101.496462 \nL 337.105235 89.493777 \nL 338.686197 78.669055 \nL 338.481057 69.592751 \nL 336.32383 62.754344 \nL 332.143848 58.487856 \nL 325.984148 56.915349 \nL 318.006142 57.925535 \nL 308.477876 61.195453 \nL 297.747249 66.250331 \nL 286.20528 72.544611 \nL 274.24695 79.542303 \nL 239.234479 100.639689 \nL 218.86182 112.525945 \nL 201.787824 122.100066 \nL 158.976435 145.655852 \nL 152.023475 149.493571 \nL 148.253155 151.329835 \nL 144.881162 152.624551 \nL 143.286619 153.071055 \nL 141.729383 153.383029 \nL 140.195752 153.559332 \nL 138.674981 153.598571 \nL 137.159081 153.499322 \nL 135.642636 153.260344 \nL 134.122672 152.88082 \nL 132.598519 152.36058 \nL 131.071704 151.700339 \nL 129.545868 150.901951 \nL 128.026651 149.968658 \nL 126.521621 148.905347 \nL 123.593265 146.417784 \nL 120.854898 143.519485 \nL 118.42152 140.328571 \nL 116.420504 137.001263 \nL 115.6225 135.344324 \nL 114.979888 133.725669 \nL 114.506391 132.171527 \nL 114.213861 130.708021 \nL 114.111799 129.360383 \nL 114.2069 128.152194 \nL 114.502683 127.104617 \nL 114.999194 126.235683 \nL 115.692837 125.559741 \nL 116.576334 125.087045 \nL 117.638834 124.823508 \nL 118.866135 124.770671 \nL 120.241047 124.925846 \nL 121.743878 125.282478 \nL 123.352971 125.830588 \nL 125.0453 126.557375 \nL 126.797113 127.44783 \nL 130.384059 129.652555 \nL 133.930779 132.30421 \nL 137.275126 135.26298 \nL 140.284749 138.400487 \nL 142.860362 141.604787 \nL 144.934385 144.780936 \nL 146.466522 147.848817 \nL 147.022821 149.320305 \nL 147.437913 150.739577 \nL 147.711805 152.099171 \nL 147.845131 153.39187 \nL 147.839004 154.610595 \nL 147.694926 155.748341 \nL 147.414688 156.798071 \nL 147.000293 157.752688 \nL 146.453946 158.60496 \nL 145.77802 159.347482 \nL 144.975069 159.972663 \nL 144.047873 160.472719 \nL 142.999492 160.839682 \nL 141.833353 161.06547 \nL 140.553349 161.141912 \nL 139.163977 161.060883 \nL 137.670476 160.814434 \nL 136.079001 160.394974 \nL 134.396792 159.795509 \nL 132.632383 159.009928 \nL 130.795796 158.03333 \nL 128.898737 156.862447 \nL 126.954787 155.496071 \nL 124.979566 153.935572 \nL 122.990894 152.185408 \nL 121.008833 150.253682 \nL 119.055731 148.152647 \nL 117.156132 145.899178 \nL 115.336598 143.515119 \nL 113.625396 141.027489 \nL 112.052032 138.468462 \nL 110.646653 135.87509 \nL 109.439279 133.288696 \nL 108.458929 130.753965 \nL 107.73259 128.317682 \nL 107.28413 126.027179 \nL 107.133251 123.928552 \nL 107.294413 122.064784 \nL 107.775962 120.47388 \nL 108.579432 119.187189 \nL 109.699136 118.228019 \nL 111.122076 117.610793 \nL 112.828205 117.340628 \nL 114.791035 117.413556 \nL 116.978562 117.817239 \nL 119.354433 118.53213 \nL 121.879258 119.532938 \nL 124.512036 120.790245 \nL 127.211511 122.272183 \nL 129.937458 123.945912 \nL 132.651772 125.778977 \nL 135.319362 127.740316 \nL 137.908794 129.801032 \nL 140.392688 131.934864 \nL 142.747904 134.118392 \nL 144.955529 136.331091 \nL 147.000695 138.555167 \nL 148.872284 140.775355 \nL 150.562542 142.978609 \nL 152.066651 145.15378 \nL 153.382267 147.291304 \nL 154.509067 149.382885 \nL 155.448331 151.421212 \nL 156.202514 153.399708 \nL 156.774907 155.312312 \nL 157.169314 157.153257 \nL 157.389782 158.916934 \nL 157.440385 160.597709 \nL 157.325042 162.189822 \nL 157.047397 163.687238 \nL 156.610702 165.083552 \nL 156.017782 166.371902 \nL 155.271007 167.544844 \nL 154.372292 168.594302 \nL 153.323149 169.51146 \nL 152.124753 170.286719 \nL 150.778037 170.909629 \nL 149.283835 171.368854 \nL 147.643031 171.652167 \nL 145.856762 171.746472 \nL 143.92665 171.637854 \nL 141.855073 171.311729 \nL 139.64547 170.753025 \nL 137.3027 169.946476 \nL 134.833433 168.877046 \nL 132.246587 167.530421 \nL 129.553784 165.893743 \nL 126.769854 163.956417 \nL 123.913327 161.711177 \nL 121.006907 159.155248 \nL 118.077899 156.291719 \nL 115.158542 153.13098 \nL 112.286221 149.692187 \nL 109.503421 146.004639 \nL 106.857449 142.108926 \nL 104.399829 138.057606 \nL 102.185247 133.915291 \nL 100.270119 129.757888 \nL 98.710676 125.670818 \nL 97.560665 121.746164 \nL 96.868735 118.078793 \nL 96.675674 114.761595 \nL 97.011683 111.880246 \nL 97.893982 109.507965 \nL 99.324952 107.70088 \nL 101.291119 106.494546 \nL 103.763063 105.902118 \nL 106.696401 105.914338 \nL 110.03375 106.501456 \nL 113.707501 107.6166 \nL 117.643179 109.200288 \nL 121.763001 111.185328 \nL 125.989389 113.501649 \nL 130.248103 116.080461 \nL 134.470813 118.857506 \nL 138.597009 121.775285 \nL 142.575168 124.784244 \nL 146.363266 127.84313 \nL 149.928726 130.918662 \nL 153.24791 133.984772 \nL 156.305285 137.021661 \nL 159.092415 140.014665 \nL 161.606833 142.953258 \nL 163.850914 145.830088 \nL 165.830812 148.640168 \nL 167.555453 151.380221 \nL 169.035673 154.048138 \nL 170.283452 156.642556 \nL 171.311292 159.162575 \nL 172.131691 161.607512 \nL 172.756738 163.976713 \nL 173.197796 166.269463 \nL 173.465266 168.484859 \nL 173.568416 170.621746 \nL 173.515271 172.678641 \nL 173.312544 174.653673 \nL 172.965603 176.54451 \nL 172.478472 178.348293 \nL 171.85384 180.061566 \nL 171.093097 181.68017 \nL 170.196375 183.19915 \nL 169.162611 184.612644 \nL 167.9896 185.913734 \nL 166.674074 187.094309 \nL 165.211778 188.144916 \nL 163.597575 189.054551 \nL 161.825554 189.810493 \nL 159.889156 190.398083 \nL 157.781361 190.800511 \nL 155.494869 190.998621 \nL 153.022369 190.970709 \nL 150.356837 190.69237 \nL 147.491936 190.136406 \nL 144.422493 189.272834 \nL 141.145081 188.06901 \nL 137.658742 186.490027 \nL 133.965829 184.499312 \nL 130.07302 182.059651 \nL 125.992468 179.134656 \nL 121.74315 175.690809 \nL 117.352256 171.700179 \nL 112.856738 167.143876 \nL 108.304767 162.016232 \nL 103.75708 156.329612 \nL 99.287979 150.119612 \nL 94.985719 143.45019 \nL 90.952059 136.41806 \nL 87.300593 129.155368 \nL 84.153659 121.829636 \nL 81.637532 114.639923 \nL 79.875952 107.808358 \nL 78.982142 101.566837 \nL 79.049984 96.139644 \nL 80.145089 91.723793 \nL 82.297091 88.469874 \nL 85.494222 86.466607 \nL 89.68137 85.732322 \nL 94.762138 86.214975 \nL 100.604907 87.800944 \nL 107.052155 90.330791 \nL 113.93178 93.618715 \nL 121.068812 97.47233 \nL 128.29613 101.709358 \nL 135.462992 106.16968 \nL 142.440895 110.72189 \nL 149.126594 115.265096 \nL 155.442693 119.727163 \nL 161.336311 124.060674 \nL 166.776484 128.238014 \nL 171.750884 132.24637 \nL 176.262291 136.083306 \nL 180.325187 139.753103 \nL 183.962654 143.263939 \nL 187.203694 146.625906 \nL 190.081008 149.849616 \nL 192.629207 152.945367 \nL 194.883436 155.922611 \nL 196.87834 158.789765 \nL 198.647337 161.554113 \nL 201.632345 166.798178 \nL 204.066938 171.692827 \nL 208.028174 180.524613 \nL 210.775937 186.349601 \nL 212.716794 189.85014 \nL 214.856601 193.028868 \nL 216.02889 194.489965 \nL 217.283951 195.859805 \nL 218.632718 197.132787 \nL 220.08629 198.302096 \nL 221.656034 199.359506 \nL 223.353643 200.295168 \nL 225.191194 201.097364 \nL 227.181165 201.752228 \nL 229.33642 202.243428 \nL 231.670155 202.551841 \nL 234.195783 202.655183 \nL 236.926775 202.52764 \nL 239.876386 202.139504 \nL 243.057312 201.456843 \nL 246.481201 200.441258 \nL 250.158012 199.049766 \nL 254.095195 197.234916 \nL 258.296656 194.945238 \nL 262.761449 192.126172 \nL 267.482232 188.721635 \nL 272.443392 184.676476 \nL 277.61889 179.939954 \nL 282.969896 174.470578 \nL 288.442238 168.242273 \nL 293.963913 161.252045 \nL 299.442898 153.5288 \nL 304.765658 145.1427 \nL 309.796836 136.214031 \nL 314.380783 126.91982 \nL 318.34548 117.496151 \nL 321.509413 108.233791 \nL 323.691609 99.465096 \nL 324.724628 91.541244 \nL 324.469564 84.801038 \nL 322.831315 79.53478 \nL 319.771953 75.949271 \nL 315.319565 74.141302 \nL 309.570525 74.085853 \nL 302.684106 75.64248 \nL 294.869855 78.578631 \nL 286.369679 82.604295 \nL 277.437628 87.410195 \nL 268.320499 92.701728 \nL 259.24194 98.223515 \nL 241.919342 109.200612 \nL 226.509217 119.347299 \nL 213.461573 128.326779 \nL 207.840093 132.380108 \nL 202.790526 136.166369 \nL 198.275662 139.70858 \nL 194.251259 143.030016 \nL 190.669191 146.152418 \nL 187.479857 149.095045 \nL 182.083694 154.503551 \nL 177.691358 159.352502 \nL 169.075777 169.321286 \nL 165.93982 172.462086 \nL 164.343823 173.839491 \nL 162.704164 175.080442 \nL 161.004291 176.177453 \nL 159.229183 177.121637 \nL 157.365245 177.902665 \nL 155.400204 178.5087 \nL 153.323088 178.926322 \nL 151.124241 179.140503 \nL 148.795408 179.13458 \nL 146.329879 178.890326 \nL 143.722723 178.388033 \nL 140.971072 177.606741 \nL 138.074505 176.524589 \nL 135.035533 175.119315 \nL 131.860131 173.36899 \nL 128.55839 171.252995 \nL 125.145223 168.753272 \nL 121.64111 165.855925 \nL 118.072864 162.553135 \nL 114.474347 158.845393 \nL 110.887083 154.743967 \nL 107.360662 150.273484 \nL 103.952803 145.474434 \nL 100.729019 140.405252 \nL 97.761643 135.143657 \nL 95.128205 129.786813 \nL 92.908983 124.449864 \nL 91.183784 119.262517 \nL 90.027979 114.363528 \nL 89.508024 109.893233 \nL 89.67676 105.984611 \nL 90.569007 102.753753 \nL 92.197846 100.291013 \nL 94.552213 98.653901 \nL 97.596159 97.863061 \nL 101.269994 97.901814 \nL 105.493281 98.719494 \nL 110.169441 100.237776 \nL 115.191352 102.359243 \nL 120.447454 104.976468 \nL 125.827584 107.980713 \nL 131.228081 111.269046 \nL 136.555777 114.749409 \nL 141.730691 118.343495 \nL 146.687438 121.987814 \nL 151.375495 125.633188 \nL 155.758601 129.243299 \nL 159.813478 132.792692 \nL 163.528175 136.264664 \nL 166.900235 139.649208 \nL 169.934839 142.941217 \nL 172.643042 146.139007 \nL 175.040183 149.243156 \nL 177.144501 152.255639 \nL 178.975971 155.17917 \nL 180.555346 158.016821 \nL 181.903408 160.771698 \nL 183.040385 163.446797 \nL 183.985521 166.044909 \nL 184.756778 168.568561 \nL 185.370636 171.020033 \nL 185.841976 173.401327 \nL 186.408373 177.960216 \nL 186.542187 182.256625 \nL 186.304658 186.298542 \nL 185.734308 190.090564 \nL 184.849382 193.633456 \nL 183.650021 196.923295 \nL 182.119905 199.950036 \nL 181.221481 201.35942 \nL 180.227291 202.695366 \nL 179.131033 203.953796 \nL 177.925472 205.129678 \nL 176.602429 206.216851 \nL 175.152781 207.207827 \nL 173.566446 208.093562 \nL 171.832385 208.8632 \nL 169.93861 209.503755 \nL 167.87221 209.999764 \nL 165.61941 210.332888 \nL 163.165661 210.481476 \nL 160.495773 210.420087 \nL 157.594134 210.118963 \nL 154.445013 209.543521 \nL 151.032968 208.653858 \nL 147.343422 207.404315 \nL 143.363416 205.74321 \nL 139.082596 203.612813 \nL 134.494486 200.949738 \nL 129.59809 197.685926 \nL 124.399851 193.750486 \nL 118.916067 189.072686 \nL 113.175663 183.586418 \nL 107.223378 177.236493 \nL 101.123164 169.987008 \nL 94.961622 161.831802 \nL 88.851057 152.806727 \nL 82.931613 143.002819 \nL 77.371744 132.578699 \nL 72.36609 121.769634 \nL 68.129889 110.889837 \nL 64.889106 100.324354 \nL 62.866016 90.507588 \nL 62.260725 81.887455 \nL 63.23027 74.877952 \nL 65.868144 69.807008 \nL 70.187867 66.87016 \nL 76.114295 66.101496 \nL 83.485327 67.370189 \nL 92.06471 70.404525 \nL 101.563965 74.837395 \nL 111.669564 80.261661 \nL 122.070416 86.28227 \nL 142.659135 98.80985 \nL 177.971116 120.772536 \nL 191.514758 129.364596 \nL 202.407888 136.560002 \nL 211.04146 142.636842 \nL 217.876964 147.82876 \nL 223.364805 152.299608 \nL 233.662417 160.857084 \nL 237.17616 163.291614 \nL 238.912312 164.289376 \nL 240.661514 165.133946 \nL 242.440519 165.818721 \nL 244.263583 166.336068 \nL 246.142588 166.677426 \nL 248.087125 166.833409 \nL 250.104539 166.793975 \nL 252.199903 166.548598 \nL 254.375965 166.086513 \nL 256.633028 165.397015 \nL 258.968799 164.469875 \nL 261.378189 163.295801 \nL 263.853074 161.867032 \nL 266.382062 160.178045 \nL 268.950229 158.226364 \nL 271.538884 156.01346 \nL 274.125385 153.545751 \nL 276.683035 150.835575 \nL 279.18107 147.902198 \nL 281.584846 144.772682 \nL 283.856206 141.482494 \nL 285.954091 138.075833 \nL 287.835408 134.605444 \nL 289.45624 131.131872 \nL 290.773289 127.722072 \nL 291.745593 124.447269 \nL 292.336394 121.380231 \nL 292.515124 118.591987 \nL 292.259256 116.148283 \nL 291.555997 114.106059 \nL 290.403545 112.510355 \nL 288.811808 111.391807 \nL 286.802503 110.765323 \nL 284.40857 110.629747 \nL 281.672903 110.968824 \nL 278.646518 111.753163 \nL 275.386315 112.942903 \nL 271.952614 114.490952 \nL 268.406653 116.346168 \nL 264.808265 118.456385 \nL 261.213874 120.770953 \nL 257.674899 123.242637 \nL 254.236634 125.828911 \nL 250.937582 128.492633 \nL 247.80923 131.20223 \nL 244.876164 133.931485 \nL 242.156493 136.659071 \nL 239.662438 139.367954 \nL 237.401084 142.044712 \nL 235.37515 144.678879 \nL 233.583812 147.262312 \nL 232.023463 149.788661 \nL 230.688425 152.252907 \nL 229.571591 154.650973 \nL 228.664982 156.979413 \nL 227.960217 159.235145 \nL 227.448905 161.415269 \nL 227.122968 163.516883 \nL 226.974878 165.536957 \nL 226.997851 167.472214 \nL 227.185985 169.319022 \nL 227.534344 171.073296 \nL 228.039014 172.730397 \nL 228.697121 174.285033 \nL 229.506824 175.731162 \nL 230.467285 177.061865 \nL 231.57861 178.269263 \nL 232.84178 179.344352 \nL 234.258552 180.276913 \nL 235.83134 181.055354 \nL 237.563067 181.666588 \nL 239.456995 182.095919 \nL 241.516511 182.32694 \nL 243.744874 182.34145 \nL 246.144912 182.11944 \nL 248.718655 181.639119 \nL 251.466913 180.877067 \nL 254.38876 179.808522 \nL 257.480944 178.407792 \nL 260.737207 176.648966 \nL 264.147515 174.506821 \nL 267.697192 171.958142 \nL 271.366007 168.98334 \nL 275.127194 165.568528 \nL 278.946524 161.70802 \nL 282.781445 157.407135 \nL 286.580385 152.68531 \nL 290.282412 147.579239 \nL 293.817333 142.145688 \nL 297.106433 136.46368 \nL 300.063983 130.635374 \nL 302.599719 124.785189 \nL 304.622278 119.056625 \nL 306.043611 113.606455 \nL 306.784145 108.596355 \nL 306.778398 104.182411 \nL 305.980425 100.503517 \nL 304.368601 97.670061 \nL 301.94894 95.754716 \nL 298.756534 94.786586 \nL 294.854599 94.749943 \nL 290.331252 95.587773 \nL 285.294251 97.209381 \nL 279.864303 99.500769 \nL 274.167795 102.336029 \nL 268.329712 105.588127 \nL 262.467486 109.137674 \nL 256.686182 112.879063 \nL 251.075366 116.723862 \nL 245.707485 120.601764 \nL 240.637659 124.459702 \nL 235.904535 128.259816 \nL 231.531893 131.976851 \nL 227.530688 135.595445 \nL 223.901255 139.107617 \nL 220.635507 142.510601 \nL 217.718983 145.80512 \nL 215.132662 148.994052 \nL 212.854532 152.081462 \nL 210.860878 155.071965 \nL 209.12732 157.970247 \nL 207.629619 160.780838 \nL 206.344286 163.507965 \nL 205.249012 166.155492 \nL 204.322962 168.726892 \nL 202.903569 173.653477 \nL 201.953699 178.30908 \nL 201.368459 182.711196 \nL 201.068181 186.874538 \nL 200.995095 190.811773 \nL 201.109833 194.533999 \nL 201.388263 198.050915 \nL 201.818879 201.370853 \nL 202.400838 204.500608 \nL 203.142661 207.445149 \nL 204.06152 210.207094 \nL 205.183098 212.785948 \nL 206.541952 215.176981 \nL 208.182334 217.369584 \nL 210.159436 219.344859 \nL 211.294889 220.241997 \nL 212.541012 221.072139 \nL 213.908549 221.828796 \nL 215.40928 222.503997 \nL 217.056074 223.088018 \nL 218.862953 223.569028 \nL 220.845137 223.932699 \nL 223.019066 224.161724 \nL 225.402402 224.235286 \nL 228.013987 224.128421 \nL 230.87374 223.811316 \nL 234.002479 223.248523 \nL 237.421636 222.39812 \nL 241.152818 221.21083 \nL 245.217174 219.629193 \nL 249.634527 217.586845 \nL 254.422173 215.008085 \nL 259.593281 211.807899 \nL 265.154806 207.892797 \nL 271.104809 203.162807 \nL 277.429135 197.515179 \nL 284.097364 190.85039 \nL 291.058039 183.081138 \nL 298.233401 174.14487 \nL 305.513828 164.020197 \nL 312.752642 152.746844 \nL 319.762172 140.447817 \nL 326.312354 127.350743 \nL 332.133566 113.803624 \nL 336.925299 100.2783 \nL 340.372345 87.354423 \nL 342.168836 75.677999 \nL 342.049122 65.893757 \nL 339.821998 58.558622 \nL 335.402466 54.052824 \nL 328.83388 52.511668 \nL 320.294085 53.799338 \nL 310.08195 57.535451 \nL 298.585978 63.167881 \nL 286.241298 70.0704 \nL 273.484221 77.637663 \nL 248.261908 92.837134 \nL 236.38649 99.82749 \nL 225.264512 106.186563 \nL 215.002684 111.862444 \nL 205.649007 116.863319 \nL 189.64477 125.035297 \nL 176.947262 131.204715 \nL 159.315284 139.43244 \nL 150.767959 143.259616 \nL 146.475056 145.037478 \nL 142.932553 146.306001 \nL 139.906577 147.118158 \nL 137.227791 147.5066 \nL 134.780491 147.493767 \nL 132.49309 147.099377 \nL 130.330162 146.346192 \nL 128.285727 145.264721 \nL 126.377438 143.896856 \nL 124.6411 142.298369 \nL 123.125136 140.539934 \nL 121.88468 138.706163 \nL 120.975174 136.892475 \nL 120.445672 135.199608 \nL 120.332251 133.726333 \nL 120.437854 133.100334 \nL 120.652283 132.561186 \nL 120.974112 132.117048 \nL 121.400355 131.77455 \nL 121.92649 131.538644 \nL 122.546483 131.41253 \nL 123.252911 131.397638 \nL 124.889219 131.698567 \nL 126.753938 132.419678 \nL 128.754705 133.517318 \nL 130.795318 134.93191 \nL 132.782413 136.594245 \nL 134.630864 138.431164 \nL 136.267569 140.369834 \nL 137.63342 142.340569 \nL 138.683712 144.278243 \nL 139.387444 146.122677 \nL 139.725917 147.81831 \nL 139.691117 149.313599 \nL 139.284222 150.560431 \nL 138.943849 151.076485 \nL 138.514536 151.513772 \nL 137.998626 151.867163 \nL 137.398942 152.131755 \nL 136.7188 152.302927 \nL 135.133034 152.348258 \nL 133.278916 151.974138 \nL 131.204309 151.160952 \nL 128.968853 149.902334 \nL 126.645203 148.209773 \nL 124.319589 146.117537 \nL 122.091033 143.687083 \nL 120.068694 141.009831 \nL 118.366819 138.206874 \nL 117.097101 135.424366 \nL 116.656118 134.091033 \nL 116.358849 132.823854 \nL 116.21396 131.643075 \nL 116.227981 130.567926 \nL 116.405005 129.616074 \nL 116.746488 128.803101 \nL 117.251089 128.142059 \nL 117.914599 127.643093 \nL 118.729959 127.313198 \nL 119.687424 127.156092 \nL 120.774727 127.172252 \nL 121.977423 127.359022 \nL 123.27923 127.710881 \nL 124.662445 128.219778 \nL 127.59796 129.666298 \nL 130.631162 131.599633 \nL 133.614269 133.907632 \nL 136.415158 136.476513 \nL 138.924078 139.198858 \nL 141.05641 141.977775 \nL 142.752151 144.728023 \nL 143.973082 147.37498 \nL 144.698864 149.852527 \nL 144.873561 151.008824 \nL 144.922825 152.10055 \nL 144.847355 153.120734 \nL 144.648296 154.062502 \nL 144.327176 154.919028 \nL 143.885863 155.683497 \nL 143.326546 156.349082 \nL 142.651745 156.908935 \nL 141.864312 157.356188 \nL 140.967489 157.683981 \nL 139.964948 157.885516 \nL 138.860884 157.954104 \nL 137.660092 157.883287 \nL 136.368081 157.666945 \nL 134.991197 157.299471 \nL 133.536744 156.775954 \nL 132.013125 156.092413 \nL 130.429979 155.246073 \nL 128.798297 154.235657 \nL 127.130575 153.061737 \nL 125.44087 151.727076 \nL 123.744887 150.236995 \nL 122.059997 148.599747 \nL 120.405211 146.826837 \nL 118.801053 144.933285 \nL 117.269394 142.937847 \nL 115.833176 140.863039 \nL 114.516036 138.735071 \nL 113.341814 136.583565 \nL 112.333999 134.441088 \nL 111.515053 132.342444 \nL 110.905706 130.323766 \nL 110.524163 128.421441 \nL 110.385379 126.670886 \nL 110.500316 125.105264 \nL 110.875353 123.754214 \nL 111.511793 122.64272 \nL 112.405587 121.790143 \nL 113.547242 121.209569 \nL 114.921995 120.907457 \nL 116.510176 120.883664 \nL 118.287831 121.13179 \nL 120.227482 121.639853 \nL 122.299024 122.391165 \nL 124.470703 123.365372 \nL 126.710088 124.53954 \nL 128.984996 125.88922 \nL 131.264349 127.389419 \nL 133.518883 129.015443 \nL 137.848676 132.551289 \nL 141.793805 136.325304 \nL 145.222543 140.195045 \nL 146.715035 142.129307 \nL 148.049824 144.04695 \nL 149.222355 145.937506 \nL 150.229946 147.79164 \nL 151.071446 149.600904 \nL 151.746952 151.35756 \nL 152.257509 153.054401 \nL 152.604869 154.684578 \nL 152.791262 156.241443 \nL 152.819207 157.718428 \nL 152.691364 159.108929 \nL 152.410409 160.406181 \nL 151.978958 161.603172 \nL 151.399509 162.692574 \nL 150.674416 163.666662 \nL 149.80591 164.51724 \nL 148.796136 165.235628 \nL 147.647216 165.81262 \nL 146.361347 166.23847 \nL 144.94094 166.502918 \nL 143.388754 166.595256 \nL 141.708103 166.504398 \nL 139.903051 166.219043 \nL 137.978672 165.727863 \nL 135.941312 165.019797 \nL 133.79889 164.084403 \nL 131.561216 162.912295 \nL 129.240319 161.495711 \nL 126.850791 159.829164 \nL 124.410096 157.91022 \nL 121.93888 155.740324 \nL 119.461197 153.325741 \nL 117.004654 150.678478 \nL 114.600461 147.817204 \nL 112.283272 144.768036 \nL 110.090869 141.565131 \nL 108.063617 138.250937 \nL 106.24362 134.876018 \nL 104.673607 131.498333 \nL 103.395601 128.181893 \nL 102.449282 124.994766 \nL 101.870235 122.006519 \nL 101.688115 119.285135 \nL 101.924883 116.893716 \nL 102.593238 114.88713 \nL 103.695403 113.309126 \nL 105.222453 112.189982 \nL 107.154187 111.545101 \nL 109.459661 111.374736 \nL 112.098354 111.664747 \nL 115.02185 112.388343 \nL 118.175942 113.508576 \nL 121.50294 114.981264 \nL 124.944026 116.758037 \nL 128.441497 118.789148 \nL 131.940651 121.025929 \nL 135.391382 123.422659 \nL 138.749275 125.937853 \nL 141.976308 128.534986 \nL 145.041106 131.182751 \nL 147.918898 133.854914 \nL 150.591148 136.529937 \nL 153.045022 139.190425 \nL 155.272714 141.822516 \nL 157.270697 144.415249 \nL 159.038965 146.960005 \nL 160.580301 149.44995 \nL 161.89959 151.879604 \nL 163.003196 154.244465 \nL 163.898412 156.540678 \nL 164.593011 158.764797 \nL 165.094836 160.913563 \nL 165.411506 162.983751 \nL 165.550148 164.972007 \nL 165.517219 166.874749 \nL 165.318361 168.688037 \nL 164.958311 170.407489 \nL 164.44085 172.02816 \nL 163.768772 173.544451 \nL 162.943892 174.950006 \nL 161.967091 176.237599 \nL 160.838353 177.399028 \nL 159.556855 178.424982 \nL 158.12107 179.304927 \nL 156.528878 180.026974 \nL 154.777739 180.577798 \nL 152.864862 180.94249 \nL 150.787439 181.104497 \nL 148.542906 181.045593 \nL 146.129262 180.745865 \nL 143.545445 180.183808 \nL 140.79178 179.336532 \nL 137.870498 178.180098 \nL 134.786338 176.690025 \nL 131.547218 174.842069 \nL 128.165027 172.613218 \nL 124.656432 169.983085 \nL 121.043782 166.935593 \nL 117.35598 163.461093 \nL 113.62937 159.558811 \nL 109.908439 155.239606 \nL 106.246327 150.52886 \nL 102.704983 145.469294 \nL 99.354836 140.123359 \nL 96.273788 134.574792 \nL 93.545445 128.928814 \nL 91.25644 123.310527 \nL 89.492881 117.86103 \nL 88.335924 112.731165 \nL 87.856793 108.072992 \nL 88.111554 104.029662 \nL 89.136225 100.72465 \nL 90.94274 98.251886 \nL 93.516396 96.668096 \nL 96.81527 95.988682 \nL 100.771732 96.187945 \nL 105.296065 97.20339 \nL 110.281823 98.943588 \nL 115.612226 101.298067 \nL 121.166961 104.14776 \nL 126.828559 107.374448 \nL 132.487836 110.868325 \nL 138.048 114.533075 \nL 143.427262 118.288506 \nL 148.560024 122.071056 \nL 153.396875 125.832809 \nL 157.903627 129.539547 \nL 162.059754 133.168318 \nL 165.85645 136.705024 \nL 169.294559 140.142157 \nL 172.38255 143.476894 \nL 175.134636 146.709539 \nL 177.569102 149.842366 \nL 179.706879 152.878761 \nL 181.570356 155.822613 \nL 183.182439 158.677956 \nL 184.565804 161.448687 \nL 185.742349 164.138482 \nL 186.732791 166.750694 \nL 187.556402 169.288362 \nL 188.772054 174.150707 \nL 189.510098 178.744138 \nL 189.864461 183.083691 \nL 189.904212 187.181585 \nL 189.676474 191.047679 \nL 189.209438 194.689611 \nL 188.51501 198.112602 \nL 187.590881 201.318978 \nL 186.421916 204.307336 \nL 184.980872 207.071297 \nL 183.228493 209.597664 \nL 182.219895 210.76513 \nL 181.113043 211.863774 \nL 179.899368 212.888673 \nL 178.569394 213.833755 \nL 177.11269 214.691596 \nL 175.517837 215.453163 \nL 173.772385 216.107528 \nL 171.862841 216.641529 \nL 169.774654 217.039353 \nL 167.492243 217.282096 \nL 164.999043 217.347246 \nL 162.277626 217.208096 \nL 159.309862 216.833112 \nL 156.077207 216.18526 \nL 152.561095 215.221342 \nL 148.743493 213.891336 \nL 144.607672 212.137901 \nL 140.139239 209.896082 \nL 135.327491 207.093439 \nL 130.167166 203.650808 \nL 124.660641 199.48399 \nL 118.820677 194.506768 \nL 112.673686 188.635696 \nL 106.263539 181.797144 \nL 99.65582 173.936986 \nL 92.94221 165.033242 \nL 86.244697 155.111373 \nL 79.718817 144.261377 \nL 73.555075 132.654707 \nL 67.977327 120.557632 \nL 63.236867 108.336605 \nL 59.600968 96.450282 \nL 57.335401 85.423607 \nL 56.681339 75.802105 \nL 57.828666 68.08948 \nL 60.889483 62.678301 \nL 65.876818 59.788511 \nL 72.693727 59.430594 \nL 81.136472 61.405047 \nL 90.912455 65.339793 \nL 101.669947 70.75555 \nL 113.033739 77.141292 \nL 124.639834 84.020989 \nL 157.957259 104.175195 \nL 177.040398 115.43061 \nL 223.788998 142.554877 \nL 241.335643 153.370392 \nL 244.888857 155.111603 \nL 246.578209 155.769938 \nL 248.236522 156.284545 \nL 249.879995 156.652751 \nL 251.521778 156.871331 \nL 253.172155 156.936728 \nL 254.838717 156.845266 \nL 256.526469 156.593396 \nL 258.237936 156.177918 \nL 259.973223 155.596272 \nL 261.730061 154.846832 \nL 263.503849 153.929215 \nL 265.287646 152.844629 \nL 267.07224 151.596265 \nL 268.846157 150.18963 \nL 270.595734 148.632934 \nL 272.305244 146.93742 \nL 273.957043 145.117665 \nL 275.531803 143.191751 \nL 277.0088 141.181378 \nL 278.36634 139.111821 \nL 279.582229 137.011671 \nL 280.634326 134.912448 \nL 281.501232 132.847945 \nL 282.162983 130.853409 \nL 282.601805 128.964512 \nL 282.802888 127.21623 \nL 282.755072 125.64157 \nL 282.451502 124.270386 \nL 281.890107 123.128224 \nL 281.073951 122.235344 \nL 280.011352 121.606035 \nL 278.71577 121.24822 \nL 277.205501 121.163352 \nL 275.503156 121.346736 \nL 273.634934 121.788058 \nL 271.629792 122.472195 \nL 269.518524 123.380204 \nL 267.332794 124.490354 \nL 265.104261 125.779138 \nL 262.863686 127.22228 \nL 260.640263 128.795544 \nL 256.350283 132.239655 \nL 252.417612 135.940172 \nL 248.978326 139.753052 \nL 247.473479 141.664397 \nL 246.122448 143.562399 \nL 244.930365 145.436293 \nL 243.900458 147.276472 \nL 243.034363 149.074256 \nL 242.33241 150.821696 \nL 241.79391 152.511406 \nL 241.417418 154.136409 \nL 241.200938 155.689947 \nL 241.142138 157.165392 \nL 241.238487 158.556089 \nL 241.48739 159.855272 \nL 241.886278 161.055964 \nL 242.432659 162.15089 \nL 243.124161 163.132406 \nL 243.958503 163.992447 \nL 244.933485 164.722468 \nL 246.046914 165.313441 \nL 247.296519 165.755826 \nL 248.679825 166.03959 \nL 250.194011 166.154284 \nL 251.835736 166.089108 \nL 253.600922 165.833034 \nL 255.484533 165.375051 \nL 257.480303 164.704377 \nL 259.580455 163.810816 \nL 261.775397 162.685222 \nL 264.053407 161.319978 \nL 266.40029 159.709646 \nL 268.799077 157.851707 \nL 271.229755 155.747353 \nL 273.669017 153.402371 \nL 276.090127 150.828061 \nL 278.462867 148.042089 \nL 280.753654 145.06927 \nL 282.925863 141.942153 \nL 284.940339 138.701287 \nL 286.756143 135.395093 \nL 288.331638 132.079214 \nL 289.625749 128.81532 \nL 290.599495 125.669236 \nL 291.217684 122.708534 \nL 291.450667 119.999669 \nL 291.27607 117.604769 \nL 290.680295 115.578491 \nL 289.659773 113.965087 \nL 288.221667 112.796111 \nL 286.384086 112.088938 \nL 284.175647 111.846293 \nL 281.634466 112.056857 \nL 278.806579 112.696734 \nL 275.743988 113.731786 \nL 272.502469 115.120329 \nL 269.139279 116.81609 \nL 265.711 118.770929 \nL 262.271619 120.937258 \nL 258.870952 123.269978 \nL 255.553482 125.727808 \nL 252.357625 128.274112 \nL 249.315378 130.877228 \nL 246.452323 133.510408 \nL 243.78791 136.151511 \nL 241.335939 138.782504 \nL 239.105191 141.388904 \nL 237.100133 143.959164 \nL 235.321647 146.484117 \nL 233.767751 148.956464 \nL 232.434267 151.370307 \nL 231.315451 153.72077 \nL 230.404527 156.003691 \nL 229.694153 158.215343 \nL 229.176824 160.352238 \nL 228.845191 162.410946 \nL 228.692314 164.387927 \nL 228.711865 166.279436 \nL 228.898277 168.081398 \nL 229.246831 169.789293 \nL 229.753729 171.398059 \nL 230.416117 172.901995 \nL 231.232076 174.29464 \nL 232.200597 175.568703 \nL 233.321529 176.715895 \nL 234.595505 177.726872 \nL 236.023825 178.591066 \nL 237.608351 179.296613 \nL 239.351338 179.830205 \nL 241.255248 180.177034 \nL 243.322526 180.320704 \nL 245.555336 180.243197 \nL 247.955233 179.924909 \nL 250.522789 179.344752 \nL 253.257156 178.480389 \nL 256.155539 177.308553 \nL 259.212607 175.80563 \nL 262.419814 173.948406 \nL 265.764669 171.715122 \nL 269.229899 169.08681 \nL 272.792625 166.049019 \nL 276.423497 162.593862 \nL 280.085882 158.722411 \nL 283.735233 154.447353 \nL 287.318622 149.795733 \nL 290.774691 144.811588 \nL 294.034052 139.558137 \nL 297.020348 134.119072 \nL 299.652065 128.598545 \nL 301.845218 123.119357 \nL 303.516853 117.819009 \nL 304.589332 112.84351 \nL 304.995161 108.339039 \nL 304.681938 104.44228 \nL 303.616966 101.270241 \nL 301.790979 98.910996 \nL 299.220401 97.416694 \nL 295.94777 96.799962 \nL 292.040118 97.034302 \nL 287.585371 98.058495 \nL 282.687215 99.784057 \nL 277.45892 102.104667 \nL 272.0169 104.906007 \nL 266.474646 108.074694 \nL 260.937555 111.505343 \nL 255.499088 115.105352 \nL 250.238282 118.797385 \nL 245.218622 122.519883 \nL 240.488065 126.226161 \nL 236.079917 129.882598 \nL 232.014356 133.46637 \nL 228.300256 136.963165 \nL 224.937157 140.365077 \nL 221.917217 143.668753 \nL 219.227014 146.873938 \nL 216.849146 149.982359 \nL 214.763623 152.996884 \nL 212.949004 155.920943 \nL 211.383322 158.758134 \nL 210.044808 161.512007 \nL 208.912433 164.185915 \nL 207.966305 166.782921 \nL 207.187936 169.305815 \nL 206.560411 171.7571 \nL 205.698579 176.453499 \nL 205.278954 180.88716 \nL 205.225524 185.069845 \nL 205.485809 189.010471 \nL 206.028091 192.715188 \nL 206.838821 196.187037 \nL 207.920496 199.425294 \nL 209.290192 202.424302 \nL 210.978731 205.171772 \nL 211.955903 206.444937 \nL 213.030502 207.646306 \nL 214.210249 208.771211 \nL 215.503774 209.813899 \nL 216.920643 210.767338 \nL 218.471381 211.622992 \nL 220.167498 212.370556 \nL 222.021496 212.997635 \nL 224.046866 213.489393 \nL 226.258065 213.828135 \nL 228.670453 213.992844 \nL 231.300183 213.958669 \nL 234.164038 213.696353 \nL 237.27917 213.171654 \nL 240.662727 212.344729 \nL 244.331352 211.169596 \nL 248.300474 209.593677 \nL 252.583379 207.557562 \nL 257.190002 204.995132 \nL 262.125351 201.83421 \nL 267.387548 197.99804 \nL 272.965418 193.40789 \nL 278.835568 187.987155 \nL 284.959038 181.667397 \nL 291.277548 174.396646 \nL 297.709578 166.150208 \nL 304.14659 156.943842 \nL 310.449996 146.848656 \nL 316.449596 136.006089 \nL 321.944497 124.640524 \nL 326.707591 113.065715 \nL 330.494703 101.680748 \nL 333.058919 90.951317 \nL 334.170062 81.374082 \nL 333.637776 73.425534 \nL 331.33554 67.502055 \nL 327.221329 63.862681 \nL 321.350542 62.58849 \nL 313.87757 63.570475 \nL 305.044251 66.530436 \nL 295.156925 71.069932 \nL 284.556173 76.734052 \nL 273.585047 83.074166 \nL 251.757264 96.289363 \nL 222.53181 114.084223 \nL 193.695114 131.502801 \nL 183.407703 137.947465 \nL 175.294417 143.299884 \nL 168.863196 147.792764 \nL 157.344052 156.108735 \nL 153.685162 158.407416 \nL 151.934342 159.339627 \nL 150.205575 160.123336 \nL 148.480141 160.754338 \nL 146.742283 161.227511 \nL 144.97905 161.537009 \nL 143.180133 161.676423 \nL 141.337771 161.638964 \nL 139.446691 161.417703 \nL 137.504079 161.005791 \nL 135.509595 160.396787 \nL 133.465418 159.584962 \nL 131.376329 158.565739 \nL 129.249789 157.336156 \nL 127.096036 155.895363 \nL 124.928194 154.245222 \nL 122.762315 152.390909 \nL 120.617403 150.341519 \nL 118.51537 148.110686 \nL 116.480892 145.717113 \nL 114.54115 143.18496 \nL 112.72546 140.544104 \nL 111.064698 137.830082 \nL 109.590583 135.083799 \nL 108.334817 132.350801 \nL 107.328011 129.680212 \nL 106.59857 127.12327 \nL 106.171418 124.731535 \nL 106.066808 122.554849 \nL 106.29914 120.639198 \nL 106.875981 119.024603 \nL 107.797345 117.743306 \nL 109.055272 116.81832 \nL 110.633808 116.262518 \nL 112.509386 116.07847 \nL 114.651591 116.258739 \nL 117.024285 116.786936 \nL 119.586939 117.639165 \nL 122.296189 118.785787 \nL 125.107394 120.193281 \nL 127.976166 121.826122 \nL 130.859709 123.648396 \nL 133.717999 125.625232 \nL 136.514649 127.723816 \nL 139.217536 129.914092 \nL 141.799144 132.169178 \nL 144.236654 134.465494 \nL 146.511851 136.782675 \nL 148.610854 139.103345 \nL 150.523723 141.412816 \nL 152.244008 143.698724 \nL 153.768237 145.950645 \nL 155.095409 148.159727 \nL 156.226494 150.318381 \nL 157.163964 152.419952 \nL 157.911368 154.458484 \nL 158.47296 156.428461 \nL 158.853369 158.324625 \nL 159.057334 160.141802 \nL 159.089481 161.874767 \nL 158.954146 163.518091 \nL 158.655247 165.06603 \nL 158.196202 166.512423 \nL 157.579871 167.850581 \nL 156.808544 169.073203 \nL 155.883957 170.172272 \nL 154.807322 171.138965 \nL 153.579426 171.963588 \nL 152.200708 172.635497 \nL 150.671414 173.143049 \nL 148.991749 173.473557 \nL 147.162076 173.613312 \nL 145.183163 173.547608 \nL 143.056456 173.26084 \nL 140.784395 172.736685 \nL 138.370792 171.958355 \nL 135.821245 170.90899 \nL 133.143589 169.57216 \nL 130.348428 167.932572 \nL 127.449667 165.976933 \nL 124.465054 163.695025 \nL 121.416771 161.080974 \nL 118.331939 158.134765 \nL 115.243058 154.863809 \nL 112.188337 151.284708 \nL 109.211763 147.424873 \nL 106.36294 143.324 \nL 103.696563 139.035131 \nL 101.271412 134.625042 \nL 99.148907 130.173723 \nL 97.391102 125.772764 \nL 96.058213 121.522462 \nL 95.205714 117.527637 \nL 94.881193 113.892329 \nL 95.121206 110.713823 \nL 95.948379 108.076498 \nL 97.369105 106.04617 \nL 99.372131 104.665762 \nL 101.928234 103.952786 \nL 104.991145 103.899089 \nL 108.499587 104.472728 \nL 112.380398 105.621911 \nL 116.552282 107.280144 \nL 120.929921 109.372031 \nL 125.42801 111.818908 \nL 129.964884 114.543798 \nL 134.465505 117.475183 \nL 138.863625 120.549574 \nL 143.103131 123.712831 \nL 147.138608 126.920458 \nL 150.935236 130.137148 \nL 154.468182 133.335815 \nL 157.721621 136.496383 \nL 160.687549 139.604515 \nL 163.364512 142.650356 \nL 165.756314 145.627464 \nL 167.870816 148.531882 \nL 169.718835 151.361406 \nL 171.313167 154.114981 \nL 172.667773 156.792293 \nL 173.797091 159.393426 \nL 174.715487 161.918652 \nL 175.436818 164.368261 \nL 175.974108 166.742431 \nL 176.339299 169.041172 \nL 176.543091 171.264245 \nL 176.594831 173.41113 \nL 176.50245 175.480968 \nL 176.272439 177.472526 \nL 175.909851 179.384118 \nL 175.418321 181.213583 \nL 174.800104 182.95819 \nL 174.056119 184.614559 \nL 173.185996 186.17859 \nL 172.188134 187.645321 \nL 171.059758 189.008829 \nL 169.796976 190.262056 \nL 168.394854 191.39667 \nL 166.847479 192.402869 \nL 165.148049 193.269177 \nL 163.288977 193.982213 \nL 161.262005 194.526455 \nL 159.058366 194.883977 \nL 156.668978 195.034199 \nL 154.084691 194.95362 \nL 151.296605 194.61562 \nL 148.296467 193.990276 \nL 145.077181 193.044317 \nL 141.633429 191.741194 \nL 137.962453 190.041395 \nL 134.064999 187.903079 \nL 129.946435 185.283098 \nL 125.618091 182.138604 \nL 121.098771 178.429305 \nL 116.416439 174.120549 \nL 111.610033 169.187335 \nL 106.731281 163.619246 \nL 101.846372 157.426257 \nL 97.03729 150.645111 \nL 92.40244 143.345725 \nL 88.0563 135.636785 \nL 84.127613 127.669337 \nL 80.755809 119.63702 \nL 78.085322 111.771441 \nL 76.257788 104.331671 \nL 75.4024 97.587568 \nL 75.625071 91.797879 \nL 76.997686 87.185574 \nL 79.548822 83.914243 \nL 83.25762 82.069903 \nL 88.052069 81.652145 \nL 93.81243 82.576706 \nL 100.379567 84.689102 \nL 107.567091 87.786256 \nL 115.175474 91.641794 \nL 123.006173 96.030005 \nL 130.873866 100.745005 \nL 138.615726 105.612959 \nL 146.097063 110.497489 \nL 153.213637 115.299407 \nL 159.891154 119.952653 \nL 166.082746 124.418268 \nL 171.765287 128.677838 \nL 176.935174 132.727457 \nL 181.604101 136.572638 \nL 185.795163 140.224395 \nL 189.539438 143.69635 \nL 192.87315 147.002817 \nL 195.835375 150.157574 \nL 198.466276 153.173171 \nL 200.805774 156.060595 \nL 204.763671 161.486683 \nL 207.994819 166.491983 \nL 216.824797 181.048852 \nL 219.341231 184.361957 \nL 220.681367 185.864667 \nL 222.094543 187.257874 \nL 223.593868 188.534915 \nL 225.192062 189.687758 \nL 226.901548 190.706862 \nL 228.734537 191.580973 \nL 230.703078 192.296924 \nL 232.819036 192.839404 \nL 235.094066 193.190731 \nL 237.539497 193.330613 \nL 240.16616 193.235943 \nL 242.984136 192.880608 \nL 246.002419 192.235369 \nL 249.228439 191.267859 \nL 252.667493 189.942729 \nL 256.321996 188.222031 \nL 260.190591 186.065904 \nL 264.267055 183.433703 \nL 268.539046 180.285635 \nL 272.986634 176.585067 \nL 277.58075 172.30161 \nL 282.281477 167.415046 \nL 287.036412 161.920098 \nL 291.779192 155.83194 \nL 296.42841 149.192098 \nL 300.887229 142.074249 \nL 305.044016 134.589037 \nL 308.774349 126.88682 \nL 311.944736 119.157073 \nL 314.418287 111.623203 \nL 316.062283 104.531853 \nL 316.757367 98.136818 \nL 316.407596 92.678326 \nL 314.950299 88.36049 \nL 312.364298 85.330069 \nL 308.675093 83.660722 \nL 303.955894 83.345966 \nL 298.323976 84.302438 \nL 291.932558 86.383024 \nL 284.959432 89.396937 \nL 277.593822 93.132692 \nL 270.023451 97.379881 \nL 262.423279 101.946336 \nL 254.947122 106.669284 \nL 247.722405 111.420246 \nL 240.848065 116.104867 \nL 234.394997 120.659374 \nL 228.408327 125.045177 \nL 222.910797 129.242967 \nL 217.90665 133.247195 \nL 213.385551 137.061435 \nL 209.326235 140.694692 \nL 205.699702 144.158733 \nL 202.471919 147.466255 \nL 199.605993 150.629683 \nL 197.063872 153.660487 \nL 194.807625 156.568854 \nL 192.800369 159.363531 \nL 189.394083 164.639967 \nL 186.589453 169.533705 \nL 179.771644 182.123031 \nL 177.513845 185.629229 \nL 175.059742 188.765077 \nL 173.72666 190.183711 \nL 172.306417 191.495179 \nL 170.786925 192.692203 \nL 169.156172 193.766067 \nL 167.402138 194.706409 \nL 165.512751 195.501002 \nL 163.475866 196.13551 \nL 161.27929 196.593226 \nL 158.910857 196.854784 \nL 156.358561 196.89789 \nL 153.610765 196.697035 \nL 150.656491 196.223275 \nL 147.485817 195.444064 \nL 144.090404 194.323205 \nL 140.464162 192.820993 \nL 136.604101 190.894603 \nL 132.511364 188.49886 \nL 128.192483 185.587523 \nL 123.660856 182.115177 \nL 118.938428 178.039952 \nL 114.05756 173.327156 \nL 109.063007 167.953982 \nL 104.013873 161.915222 \nL 98.985349 155.229905 \nL 94.069951 147.948406 \nL 89.377936 140.159338 \nL 85.036428 131.995104 \nL 81.186821 123.634721 \nL 77.980068 115.302284 \nL 75.569642 107.259448 \nL 74.102139 99.791103 \nL 73.706099 93.184312 \nL 74.48005 87.702384 \nL 76.481188 83.557534 \nL 79.71655 80.886868 \nL 84.138342 79.736681 \nL 89.644655 80.05862 \nL 96.085898 81.718946 \nL 103.276198 84.518789 \nL 111.008049 88.221067 \nL 119.068053 92.578456 \nL 127.251472 97.357432 \nL 135.37393 102.355278 \nL 143.279279 107.4091 \nL 150.843604 112.397789 \nL 157.975764 117.23875 \nL 164.615391 121.881715 \nL 170.729223 126.301429 \nL 176.306621 130.490598 \nL 181.354919 134.453835 \nL 185.895018 138.202798 \nL 189.9575 141.752694 \nL 193.579338 145.119843 \nL 196.801246 148.320101 \nL 199.665607 151.367984 \nL 202.214913 154.276223 \nL 206.5325 159.715024 \nL 210.061726 164.700769 \nL 218.399977 177.225575 \nL 221.068132 180.593788 \nL 222.465944 182.114938 \nL 223.92682 183.52051 \nL 225.465061 184.803798 \nL 227.094251 185.956725 \nL 228.827379 186.969736 \nL 230.676929 187.831615 \nL 232.654929 188.529299 \nL 234.772953 189.047701 \nL 237.042084 189.369546 \nL 239.472789 189.47516 \nL 242.074763 189.342341 \nL 244.856662 188.946274 \nL 247.82576 188.259482 \nL 250.987494 187.251951 \nL 254.344891 185.891405 \nL 257.897848 184.143786 \nL 261.642292 181.97412 \nL 265.569167 179.347697 \nL 269.663284 176.231813 \nL 273.902032 172.598071 \nL 278.254018 168.425308 \nL 282.677692 163.703262 \nL 287.120025 158.436808 \nL 291.515499 152.650659 \nL 295.785487 146.394196 \nL 299.838355 139.745878 \nL 303.570545 132.816442 \nL 306.868896 125.750052 \nL 309.614428 118.722338 \nL 311.687738 111.934538 \nL 312.975806 105.603207 \nL 313.379952 99.945843 \nL 312.824214 95.163531 \nL 311.263141 91.422686 \nL 308.688029 88.838871 \nL 305.130382 87.465372 \nL 300.661949 87.289034 \nL 295.390963 88.234121 \nL 289.454973 90.173617 \nL 283.011183 92.945462 \nL 276.225606 96.370954 \nL 269.262466 100.2719 \nL 262.275001 104.484318 \nL 255.398527 108.867474 \nL 248.74607 113.308173 \nL 242.406473 117.721045 \nL 236.444585 122.046114 \nL 230.902979 126.244738 \nL 225.804649 130.295071 \nL 221.15618 134.187635 \nL 216.951011 137.92151 \nL 213.172542 141.501215 \nL 209.796899 144.934392 \nL 206.795317 148.230136 \nL 204.136099 151.397896 \nL 201.786166 154.446757 \nL 199.712259 157.385061 \nL 197.881825 160.220253 \nL 194.828247 165.60626 \nL 192.397941 170.645956 \nL 190.396185 175.368487 \nL 184.658868 189.623305 \nL 182.930652 193.066149 \nL 181.002866 196.217769 \nL 179.939673 197.678484 \nL 178.797222 199.057876 \nL 177.565498 200.351392 \nL 176.234185 201.55342 \nL 174.792566 202.657114 \nL 173.229458 203.6542 \nL 171.533133 204.534723 \nL 169.691299 205.286801 \nL 167.691059 205.896296 \nL 165.51894 206.346484 \nL 163.160945 206.617671 \nL 160.602647 206.68677 \nL 157.82937 206.526877 \nL 154.826438 206.106817 \nL 151.579524 205.390722 \nL 148.075146 204.337677 \nL 144.301323 202.901492 \nL 140.248417 201.030682 \nL 135.910246 198.668795 \nL 131.285436 195.755238 \nL 126.379136 192.226791 \nL 121.205056 188.020079 \nL 115.787847 183.07524 \nL 110.165824 177.341102 \nL 104.393899 170.782026 \nL 98.546566 163.386548 \nL 92.720615 155.177595 \nL 87.03718 146.22361 \nL 81.642506 136.649455 \nL 76.706718 126.645093 \nL 72.419812 116.469439 \nL 68.984224 106.446483 \nL 66.603507 96.950856 \nL 65.467433 88.381679 \nL 65.734477 81.125463 \nL 67.513665 75.512673 \nL 70.848677 71.775386 \nL 75.707222 70.015292 \nL 81.978439 70.190251 \nL 89.479581 72.123466 \nL 97.971416 75.533488 \nL 107.179831 80.077545 \nL 116.819858 85.397925 \nL 126.618133 91.161779 \nL 145.75501 102.961236 \nL 163.15809 114.001917 \nL 178.101721 123.700135 \nL 190.427157 132.01585 \nL 200.331968 139.135452 \nL 208.18977 145.285893 \nL 214.429478 150.656344 \nL 219.466896 155.378722 \nL 229.091042 164.76877 \nL 232.467995 167.594575 \nL 234.159447 168.797871 \nL 235.879497 169.853737 \nL 237.645252 170.754778 \nL 239.471747 171.492338 \nL 241.372074 172.056514 \nL 243.357444 172.436166 \nL 245.437237 172.618988 \nL 247.618955 172.591587 \nL 249.908149 172.339598 \nL 252.30827 171.84789 \nL 254.820447 171.100867 \nL 257.443228 170.082852 \nL 260.172237 168.778597 \nL 262.999786 167.174018 \nL 265.914449 165.257013 \nL 268.900585 163.018547 \nL 271.937897 160.453878 \nL 275.000966 157.56402 \nL 278.058918 154.357261 \nL 281.07518 150.850807 \nL 284.007441 147.072359 \nL 286.807894 143.061459 \nL 289.423809 138.870443 \nL 291.798513 134.564768 \nL 293.872876 130.222449 \nL 295.587239 125.932449 \nL 296.883838 121.791836 \nL 297.709571 117.901774 \nL 298.019025 114.362507 \nL 297.777488 111.267633 \nL 296.963683 108.698267 \nL 295.571922 106.717738 \nL 293.613475 105.367522 \nL 291.116819 104.664843 \nL 288.126801 104.602399 \nL 284.702631 105.150219 \nL 280.914981 106.259219 \nL 276.842369 107.866105 \nL 272.567285 109.898849 \nL 268.17232 112.282023 \nL 263.736696 114.941473 \nL 259.33342 117.808031 \nL 255.027149 120.819961 \nL 250.872872 123.924314 \nL 246.915337 127.077275 \nL 243.189098 130.243817 \nL 239.719069 133.396829 \nL 236.521423 136.515972 \nL 233.604713 139.586517 \nL 230.971093 142.59814 \nL 228.61753 145.543898 \nL 226.536983 148.419358 \nL 224.719466 151.221822 \nL 223.152986 153.949808 \nL 221.824353 156.602595 \nL 220.719851 159.179892 \nL 219.825782 161.681623 \nL 219.1289 164.107745 \nL 218.616745 166.458122 \nL 218.277876 168.732457 \nL 218.10205 170.930205 \nL 218.080337 173.050523 \nL 218.205181 175.09222 \nL 218.470435 177.053696 \nL 218.871358 178.932883 \nL 219.404603 180.727186 \nL 220.068177 182.433405 \nL 220.861405 184.047652 \nL 221.784874 185.565236 \nL 222.840377 186.980552 \nL 224.030855 188.286943 \nL 225.360328 189.476556 \nL 226.833818 190.540157 \nL 228.457266 191.466956 \nL 230.237429 192.244389 \nL 232.181766 192.857895 \nL 234.298281 193.290677 \nL 236.595339 193.52346 \nL 239.081439 193.534259 \nL 241.764907 193.298178 \nL 244.653546 192.787244 \nL 247.754146 191.97033 \nL 251.071935 190.813229 \nL 254.609847 189.278901 \nL 258.367678 187.327994 \nL 262.341046 184.919768 \nL 266.520179 182.013426 \nL 270.888545 178.570157 \nL 275.421264 174.555794 \nL 280.083471 169.944365 \nL 284.828579 164.722502 \nL 289.5967 158.894638 \nL 294.313305 152.488838 \nL 298.888434 145.562798 \nL 303.216801 138.209274 \nL 307.179086 130.560046 \nL 310.644801 122.787104 \nL 313.477033 115.099804 \nL 315.539188 107.736808 \nL 316.703508 100.952404 \nL 316.860908 94.99766 \nL 315.931187 90.098102 \nL 313.872262 86.431189 \nL 310.687036 84.107311 \nL 306.426549 83.158157 \nL 301.18854 83.535068 \nL 295.111301 85.117769 \nL 288.363583 87.731828 \nL 281.131966 91.171055 \nL 273.607477 95.220529 \nL 265.973298 99.676409 \nL 258.394847 104.360111 \nL 251.013006 109.126101 \nL 243.940601 113.863873 \nL 237.261738 118.495785 \nL 231.033335 122.97219 \nL 225.288125 127.265629 \nL 220.038387 131.364952 \nL 215.279947 135.270221 \nL 210.995999 138.988515 \nL 207.160551 142.530786 \nL 203.741377 145.909671 \nL 200.702443 149.137968 \nL 198.005827 152.227778 \nL 195.613198 155.190003 \nL 193.486894 158.03413 \nL 189.890287 163.398896 \nL 186.950994 168.370634 \nL 178.859522 182.992705 \nL 176.53104 186.382184 \nL 175.287285 187.935356 \nL 173.973196 189.388353 \nL 172.576305 190.735505 \nL 171.084395 191.969922 \nL 169.485381 193.083321 \nL 167.767219 194.065846 \nL 165.917847 194.905847 \nL 163.925156 195.589643 \nL 161.776998 196.101276 \nL 159.461257 196.422228 \nL 156.965948 196.531147 \nL 154.279409 196.403587 \nL 151.390573 196.011754 \nL 148.289317 195.324337 \nL 144.966963 194.306428 \nL 141.416896 192.919616 \nL 137.63535 191.122296 \nL 133.622386 188.870342 \nL 129.383077 186.118239 \nL 124.928899 182.820758 \nL 120.279339 178.935444 \nL 115.46372 174.425962 \nL 110.523087 169.266432 \nL 105.512185 163.446814 \nL 100.501207 156.979234 \nL 95.577202 149.904878 \nL 90.844696 142.300888 \nL 86.425194 134.286305 \nL 82.455121 126.025664 \nL 79.081755 117.728738 \nL 76.456908 109.644903 \nL 74.728267 102.050818 \nL 74.028823 95.23154 \nL 74.465172 89.456079 \nL 76.106075 84.950536 \nL 78.972922 81.873176 \nL 83.033865 80.296261 \nL 88.202955 80.198825 \nL 94.344912 81.472063 \nL 101.285038 83.936453 \nL 108.822941 87.366796 \nL 116.747899 91.519782 \nL 124.853702 96.159182 \nL 132.951126 101.074722 \nL 140.876839 106.093314 \nL 148.498457 111.082888 \nL 155.716054 115.950552 \nL 162.46086 120.637275 \nL 168.692068 125.110872 \nL 174.392619 129.358937 \nL 179.564617 133.38255 \nL 184.224894 137.191149 \nL 188.400997 140.798672 \nL 192.127762 144.220862 \nL 195.444499 147.473454 \nL 198.392777 150.571153 \nL 201.014724 153.527013 \nL 203.351791 156.352257 \nL 207.328802 161.646469 \nL 210.615912 166.508159 \nL 217.369441 176.928765 \nL 219.973942 180.405009 \nL 221.330195 181.985506 \nL 222.743333 183.454807 \nL 224.227848 184.806904 \nL 225.797495 186.034512 \nL 227.465434 187.128927 \nL 229.244333 188.079868 \nL 231.146438 188.875312 \nL 233.183609 189.501293 \nL 235.367291 189.941725 \nL 237.708441 190.178184 \nL 240.217411 190.189753 \nL 242.903719 189.952865 \nL 245.775763 189.441223 \nL 248.840429 188.625808 \nL 252.10258 187.475033 \nL 255.564424 185.955074 \nL 259.224727 184.030505 \nL 263.077887 181.665227 \nL 267.112845 178.823925 \nL 271.311822 175.47399 \nL 275.648992 171.588132 \nL 280.089029 167.147672 \nL 284.585677 162.14655 \nL 289.08049 156.595906 \nL 293.501843 150.529107 \nL 297.764552 144.006665 \nL 301.770248 137.12051 \nL 305.408922 129.996721 \nL 308.561823 122.795691 \nL 311.105991 115.708724 \nL 312.920369 108.950257 \nL 313.893402 102.745515 \nL 313.931528 97.314118 \nL 312.967783 92.851345 \nL 310.969443 89.50952 \nL 307.943483 87.382726 \nL 303.938871 86.497684 \nL 299.04503 86.812815 \nL 293.38642 88.225594 \nL 287.113899 90.586915 \nL 280.39401 93.719487 \nL 273.397613 97.436828 \nL 266.289395 101.559911 \nL 259.219249 105.9294 \nL 252.316228 110.412818 \nL 245.685211 114.906974 \nL 239.405956 119.336781 \nL 233.534127 123.65174 \nL 228.103599 127.82132 \nL 223.129558 131.83016 \nL 218.611877 135.673725 \nL 214.538446 139.354619 \nL 210.888236 142.879785 \nL 207.633978 146.258389 \nL 204.744407 149.500413 \nL 202.186069 152.615726 \nL 199.924749 155.61353 \nL 197.92653 158.502103 \nL 196.158567 161.288688 \nL 193.190361 166.579786 \nL 190.794249 171.525594 \nL 187.861543 178.352318 \nL 184.416612 186.418895 \nL 182.63504 190.01547 \nL 180.688414 193.311462 \nL 178.49194 196.288268 \nL 177.274073 197.647879 \nL 175.962459 198.914908 \nL 174.546305 200.082889 \nL 173.014471 201.143985 \nL 171.355399 202.088782 \nL 169.55706 202.906036 \nL 167.606932 203.582399 \nL 165.492003 204.10209 \nL 163.198809 204.44655 \nL 160.713535 204.594061 \nL 158.022154 204.519346 \nL 155.110665 204.193165 \nL 151.965419 203.581931 \nL 148.573567 202.647379 \nL 144.923651 201.346362 \nL 141.006395 199.63082 \nL 136.815695 197.448071 \nL 132.349877 194.741542 \nL 127.613247 191.45209 \nL 122.617927 187.520194 \nL 117.386067 182.88921 \nL 111.952283 177.509909 \nL 106.36636 171.346576 \nL 100.696005 164.384676 \nL 95.029395 156.639995 \nL 89.477185 148.168731 \nL 84.173412 139.077578 \nL 79.274733 129.532118 \nL 74.957239 119.76144 \nL 71.410254 110.056227 \nL 68.826687 100.757906 \nL 67.389992 92.237302 \nL 67.258464 84.863142 \nL 68.548541 78.963456 \nL 71.319361 74.786098 \nL 75.561453 72.466237 \nL 81.192075 72.0085 \nL 88.058802 73.288835 \nL 95.951344 76.076066 \nL 104.619846 80.067895 \nL 113.796612 84.932955 \nL 123.217599 90.349767 \nL 132.640625 96.035911 \nL 150.704929 107.37004 \nL 166.837942 117.817562 \nL 180.525461 126.996424 \nL 191.730064 134.935807 \nL 196.471924 138.496536 \nL 200.698773 141.819265 \nL 204.460828 144.92829 \nL 210.797924 150.587883 \nL 215.887922 155.608016 \nL 221.975067 162.110971 \nL 225.442873 165.812577 \nL 228.723736 169.00915 \nL 230.356052 170.41096 \nL 232.011069 171.675271 \nL 233.707177 172.795547 \nL 235.460838 173.763916 \nL 237.286749 174.571163 \nL 239.197946 175.206675 \nL 241.205889 175.658463 \nL 243.320463 175.913124 \nL 245.549941 175.955886 \nL 247.900881 175.770664 \nL 250.377961 175.340218 \nL 252.98373 174.646371 \nL 255.718305 173.670352 \nL 258.57898 172.393277 \nL 261.559763 170.796824 \nL 264.650858 168.864094 \nL 267.838093 166.580713 \nL 271.102299 163.936224 \nL 274.418734 160.925664 \nL 277.7565 157.551434 \nL 281.078099 153.82532 \nL 284.339158 149.770553 \nL 287.488442 145.423784 \nL 290.468232 140.836693 \nL 293.215167 136.076991 \nL 295.661663 131.228457 \nL 297.737945 126.389717 \nL 299.374715 121.671526 \nL 300.506407 117.192389 \nL 301.074808 113.072693 \nL 301.032921 109.427684 \nL 300.348574 106.359906 \nL 299.007526 103.951986 \nL 297.015616 102.260701 \nL 294.399603 101.313146 \nL 291.206575 101.105629 \nL 287.501841 101.605489 \nL 283.365527 102.755352 \nL 278.888191 104.479348 \nL 274.16596 106.690218 \nL 269.295625 109.296397 \nL 264.370225 112.208176 \nL 259.475352 115.342552 \nL 254.686488 118.626323 \nL 250.067331 121.997796 \nL 245.66911 125.407026 \nL 241.530691 128.815176 \nL 237.679343 132.193235 \nL 234.131903 135.520466 \nL 230.896207 138.782759 \nL 227.972626 141.97112 \nL 225.355561 145.080341 \nL 223.034877 148.107886 \nL 220.997168 151.05304 \nL 219.226868 153.916238 \nL 217.707187 156.69861 \nL 216.42087 159.401612 \nL 215.350812 162.026801 \nL 214.480524 164.575702 \nL 213.79448 167.049699 \nL 213.278375 169.449986 \nL 212.919282 171.777507 \nL 212.705763 174.032967 \nL 212.627911 176.216801 \nL 212.677366 178.329137 \nL 212.847297 180.369804 \nL 213.132369 182.338284 \nL 213.528694 184.233691 \nL 214.033776 186.054706 \nL 214.64646 187.799542 \nL 215.366872 189.465859 \nL 216.196366 191.050692 \nL 217.137479 192.550347 \nL 218.193887 193.960292 \nL 219.370356 195.275019 \nL 220.672708 196.487893 \nL 222.10778 197.590962 \nL 223.683383 198.574763 \nL 225.408247 199.428081 \nL 227.291954 200.137696 \nL 229.344863 200.688078 \nL 231.57798 201.061075 \nL 234.002828 201.235587 \nL 236.631223 201.187201 \nL 239.475007 200.887851 \nL 242.545682 200.305512 \nL 245.853951 199.403944 \nL 249.409088 198.14259 \nL 253.218181 196.476634 \nL 257.285156 194.357397 \nL 261.609565 191.733114 \nL 266.185149 188.550327 \nL 270.998106 184.756033 \nL 276.025098 180.300808 \nL 281.231025 175.143057 \nL 286.566661 169.254621 \nL 291.966255 162.627671 \nL 297.345407 155.282784 \nL 302.599477 147.277689 \nL 307.603054 138.715737 \nL 312.210939 129.752765 \nL 316.261312 120.60036 \nL 319.581516 111.523503 \nL 321.996787 102.830459 \nL 323.341846 94.853914 \nL 323.474625 87.923739 \nL 322.290772 82.33401 \nL 319.736975 78.309418 \nL 315.820701 75.977507 \nL 310.614349 75.352895 \nL 304.252428 76.337756 \nL 296.921713 78.738732 \nL 288.84574 82.296346 \nL 280.266227 86.720178 \nL 271.424234 91.722602 \nL 262.543813 97.045126 \nL 253.819969 102.474618 \nL 237.438655 113.057733 \nL 223.097316 122.732115 \nL 211.087072 131.295947 \nL 205.942507 135.178683 \nL 201.333526 138.820355 \nL 197.220089 142.242452 \nL 193.557158 145.465822 \nL 190.297294 148.509433 \nL 184.796154 154.120683 \nL 180.350422 159.176607 \nL 174.956592 165.846054 \nL 170.303869 171.481454 \nL 167.266722 174.650822 \nL 165.704855 176.047714 \nL 164.090522 177.311369 \nL 162.407895 178.434087 \nL 160.642456 179.406771 \nL 158.780876 180.218808 \nL 156.81094 180.85798 \nL 154.721525 181.310389 \nL 152.502621 181.560353 \nL 150.145422 181.590384 \nL 147.642492 181.381165 \nL 144.98799 180.911617 \nL 142.177983 180.159062 \nL 139.210856 179.099528 \nL 136.087812 177.708202 \nL 132.813464 175.960115 \nL 129.396551 173.8311 \nL 125.850696 171.299075 \nL 122.195279 168.345675 \nL 118.456317 164.958314 \nL 114.667355 161.132594 \nL 110.870242 156.875084 \nL 107.115736 152.206308 \nL 103.463799 147.163761 \nL 99.983412 141.804594 \nL 96.751811 136.207607 \nL 93.852906 130.473988 \nL 91.374828 124.726336 \nL 89.40653 119.105402 \nL 88.033438 113.764361 \nL 87.33244 108.860615 \nL 87.366463 104.545622 \nL 88.179191 100.953714 \nL 89.790552 98.191331 \nL 92.193539 96.328151 \nL 95.352946 95.39171 \nL 99.206315 95.366266 \nL 103.66715 96.196267 \nL 108.630001 97.79369 \nL 113.976942 100.048044 \nL 119.584589 102.837267 \nL 125.330945 106.038069 \nL 131.101315 109.534396 \nL 136.792962 113.223331 \nL 142.318167 117.0184 \nL 147.605808 120.850553 \nL 152.60159 124.667406 \nL 157.267243 128.431295 \nL 161.578997 132.116844 \nL 165.525613 135.708343 \nL 169.106265 139.197343 \nL 172.328403 142.580559 \nL 175.205768 145.858212 \nL 177.756614 149.032694 \nL 180.002182 152.107655 \nL 181.965428 155.087316 \nL 183.670008 157.976059 \nL 185.139472 160.778148 \nL 186.396668 163.497574 \nL 187.4633 166.138005 \nL 188.359643 168.702742 \nL 189.714344 173.616766 \nL 190.589276 178.26003 \nL 191.085672 182.649135 \nL 191.27956 186.797866 \nL 191.224859 190.717852 \nL 190.956651 194.418892 \nL 190.49413 197.909007 \nL 189.842981 201.194264 \nL 188.997098 204.278364 \nL 187.93963 207.161972 \nL 186.643394 209.8417 \nL 185.070714 212.30861 \nL 183.17273 214.546051 \nL 182.083151 215.570665 \nL 180.888266 216.526533 \nL 179.57826 217.407797 \nL 178.142354 218.207257 \nL 176.568749 218.916132 \nL 174.844581 219.523749 \nL 172.955882 220.017205 \nL 170.887556 220.380939 \nL 168.623383 220.596277 \nL 166.146046 220.640868 \nL 163.437225 220.488076 \nL 160.477746 220.106302 \nL 157.247821 219.458233 \nL 153.727413 218.500089 \nL 149.896773 217.180865 \nL 145.737172 215.441675 \nL 141.23191 213.215292 \nL 136.367652 210.426074 \nL 131.136195 206.99048 \nL 125.536699 202.818531 \nL 119.578508 197.816579 \nL 113.28458 191.891947 \nL 106.695514 184.959933 \nL 99.874162 176.953766 \nL 92.910537 167.837816 \nL 85.926598 157.624107 \nL 79.08033 146.391251 \nL 72.567985 134.30392 \nL 66.623282 121.629386 \nL 61.512108 108.746109 \nL 57.52113 96.138265 \nL 54.939671 84.370499 \nL 54.034851 74.03973 \nL 55.0222 65.706646 \nL 58.03555 59.816934 \nL 63.102063 56.629202 \nL 70.128374 56.169509 \nL 78.902509 58.227119 \nL 89.112764 62.394895 \nL 100.380461 68.143278 \nL 112.299825 74.906664 \nL 136.561737 89.471669 \nL 159.376476 103.113508 \nL 179.288862 114.543627 \nL 195.807403 123.62268 \nL 241.463247 148.029793 \nL 245.366468 149.909014 \nL 248.786611 151.252669 \nL 251.917708 152.076127 \nL 253.419398 152.293532 \nL 254.895799 152.380816 \nL 256.356266 152.337332 \nL 257.807508 152.16256 \nL 259.253765 151.856279 \nL 260.696958 151.418812 \nL 262.136838 150.851233 \nL 263.571099 150.155591 \nL 264.99548 149.33512 \nL 267.788578 147.339869 \nL 270.44785 144.923014 \nL 272.882616 142.172826 \nL 274.986385 139.210627 \nL 276.645766 136.188545 \nL 277.274252 134.709177 \nL 277.751874 133.28154 \nL 278.067895 131.928762 \nL 278.213535 130.673353 \nL 278.182363 129.536577 \nL 277.970625 128.537794 \nL 277.577512 127.69387 \nL 277.005342 127.018677 \nL 276.259599 126.52269 \nL 275.34891 126.212724 \nL 274.284886 126.091861 \nL 273.081834 126.159505 \nL 271.756422 126.41157 \nL 270.327211 126.840842 \nL 268.814196 127.437397 \nL 265.620698 129.082167 \nL 262.344663 131.23181 \nL 259.146262 133.761129 \nL 256.165764 136.546488 \nL 253.516933 139.473968 \nL 251.284949 142.443034 \nL 249.527934 145.366854 \nL 248.280793 148.170467 \nL 247.560091 150.787955 \nL 247.398524 152.008015 \nL 247.36891 153.159377 \nL 247.470214 154.235028 \nL 247.701014 155.228007 \nL 248.059566 156.131345 \nL 248.543846 156.93803 \nL 249.151566 157.640973 \nL 249.880181 158.233001 \nL 250.726842 158.706838 \nL 251.688368 159.05514 \nL 252.761173 159.270537 \nL 253.941169 159.345703 \nL 255.223668 159.273456 \nL 256.603255 159.046885 \nL 258.073647 158.659532 \nL 259.627543 158.105585 \nL 261.256465 157.380151 \nL 262.950598 156.479553 \nL 264.698621 155.401664 \nL 266.487559 154.146297 \nL 268.302665 152.71563 \nL 270.127325 151.114616 \nL 271.943 149.351442 \nL 273.729254 147.437935 \nL 275.46384 145.38989 \nL 277.12288 143.227347 \nL 278.681163 140.974712 \nL 280.112558 138.660679 \nL 281.390541 136.317986 \nL 282.488839 133.982841 \nL 283.382186 131.694184 \nL 284.047182 129.492616 \nL 284.463172 127.419126 \nL 284.613134 125.513653 \nL 284.484532 123.813552 \nL 284.070051 122.352106 \nL 283.368158 121.157132 \nL 282.383455 120.249888 \nL 281.126749 119.644261 \nL 279.614887 119.346439 \nL 277.870262 119.354957 \nL 275.920094 119.661196 \nL 273.795526 120.250237 \nL 271.530528 121.101964 \nL 269.16076 122.192328 \nL 266.722423 123.494694 \nL 264.251185 124.981065 \nL 261.781228 126.623232 \nL 259.344446 128.393682 \nL 256.969844 130.266334 \nL 254.683126 132.216994 \nL 252.506465 134.223674 \nL 250.458443 136.266689 \nL 248.554139 138.328614 \nL 246.805317 140.394172 \nL 245.220715 142.450037 \nL 243.806377 144.484578 \nL 242.566023 146.487606 \nL 241.501418 148.450146 \nL 240.612746 150.364172 \nL 239.898952 152.222391 \nL 239.358072 154.018022 \nL 238.987505 155.744647 \nL 238.784257 157.396022 \nL 238.745157 158.965941 \nL 238.86701 160.448117 \nL 239.146729 161.836057 \nL 239.581426 163.122969 \nL 240.168465 164.301672 \nL 240.905488 165.364491 \nL 241.7904 166.303221 \nL 242.821333 167.109038 \nL 243.996576 167.772479 \nL 245.314474 168.283384 \nL 246.773295 168.630928 \nL 248.371076 168.803624 \nL 250.105427 168.789387 \nL 251.973304 168.575658 \nL 253.970753 168.149577 \nL 256.092618 167.49822 \nL 258.332203 166.608957 \nL 260.680929 165.469883 \nL 263.127956 164.070379 \nL 265.659756 162.401798 \nL 268.259762 160.458278 \nL 270.907933 158.237698 \nL 273.58046 155.742741 \nL 276.249461 152.982009 \nL 278.882853 149.971177 \nL 281.444355 146.734098 \nL 283.893679 143.303679 \nL 286.187044 139.72251 \nL 288.277907 136.043004 \nL 290.118089 132.326922 \nL 291.659227 128.644225 \nL 292.854537 125.071047 \nL 293.660843 121.686928 \nL 294.040748 118.571325 \nL 293.964838 115.799624 \nL 293.41371 113.439052 \nL 292.379653 111.544794 \nL 290.867738 110.156795 \nL 288.896278 109.297639 \nL 286.496453 108.971769 \nL 283.711165 109.166045 \nL 280.59319 109.85162 \nL 277.202741 110.986933 \nL 273.604747 112.521197 \nL 269.86599 114.398248 \nL 266.052369 116.560102 \nL 262.226533 118.950032 \nL 258.445912 121.514965 \nL 254.761333 124.2071 \nL 251.21616 126.984792 \nL 247.845929 129.812818 \nL 244.678436 132.662179 \nL 241.73414 135.509556 \nL 239.026851 138.336604 \nL 236.564519 141.129163 \nL 234.35015 143.876449 \nL 232.382701 146.570363 \nL 230.657958 149.204837 \nL 229.169333 151.775301 \nL 227.908611 154.27824 \nL 226.86656 156.710855 \nL 226.033472 159.07078 \nL 225.399602 161.355846 \nL 224.955528 163.563941 \nL 224.692424 165.692837 \nL 224.602276 167.740116 \nL 224.678028 169.703039 \nL 224.913693 171.578465 \nL 225.304408 173.362769 \nL 225.846471 175.051739 \nL 226.537339 176.640491 \nL 227.375606 178.123347 \nL 228.360962 179.493757 \nL 229.494138 180.744146 \nL 230.776827 181.865792 \nL 232.211584 182.848687 \nL 233.801729 183.681377 \nL 235.551192 184.350827 \nL 237.464361 184.842253 \nL 239.545874 185.138986 \nL 241.80039 185.222347 \nL 244.232293 185.071581 \nL 246.845338 184.663796 \nL 249.642234 183.974068 \nL 252.62414 182.9756 \nL 255.79006 181.640089 \nL 259.13614 179.938286 \nL 262.65486 177.840877 \nL 266.334117 175.319684 \nL 270.156184 172.349307 \nL 274.096632 168.909229 \nL 278.123203 164.98643 \nL 282.194724 160.578494 \nL 286.260141 155.697129 \nL 290.257852 150.371907 \nL 294.115482 144.653938 \nL 297.750259 138.618948 \nL 301.070273 132.369284 \nL 303.976754 126.034012 \nL 306.367518 119.76652 \nL 308.141632 113.739053 \nL 309.205095 108.133973 \nL 309.477289 103.132077 \nL 308.89759 98.898997 \nL 307.431368 95.57123 \nL 305.074665 93.243999 \nL 301.85666 91.96278 \nL 297.839476 91.720236 \nL 293.115114 92.459065 \nL 287.799808 94.080281 \nL 282.026435 96.45532 \nL 275.935995 99.439873 \nL 269.669137 102.887202 \nL 263.358687 106.659107 \nL 257.123787 110.633712 \nL 251.065971 114.709686 \nL 245.267162 118.80741 \nL 239.789353 122.867895 \nL 234.675615 126.85016 \nL 229.951985 130.727976 \nL 225.62987 134.486513 \nL 221.70865 138.119275 \nL 218.178242 141.625491 \nL 215.021457 145.00806 \nL 212.216093 148.27203 \nL 209.736705 151.423484 \nL 207.556047 154.468823 \nL 205.646229 157.4143 \nL 203.979597 160.265754 \nL 202.529378 163.028512 \nL 201.270141 165.707338 \nL 199.231246 170.829544 \nL 197.694627 175.66054 \nL 196.521613 180.222536 \nL 195.206964 186.599649 \nL 191.913607 204.335056 \nL 191.120752 207.301348 \nL 190.201525 210.087307 \nL 189.120045 212.693941 \nL 187.836118 215.118545 \nL 186.303257 217.353326 \nL 184.466636 219.383339 \nL 183.414474 220.314232 \nL 182.260934 221.183531 \nL 180.995834 221.985821 \nL 179.608045 222.714417 \nL 178.085416 223.361111 \nL 176.414708 223.915883 \nL 174.581527 224.366548 \nL 172.570279 224.698341 \nL 170.364139 224.89343 \nL 167.94505 224.930354 \nL 165.293774 224.78337 \nL 162.389993 224.421738 \nL 159.212498 223.808891 \nL 155.739492 222.901583 \nL 151.949059 221.64899 \nL 147.819812 219.991863 \nL 143.331816 217.86181 \nL 138.46785 215.180882 \nL 133.215085 211.861672 \nL 127.567273 207.808262 \nL 121.527538 202.918434 \nL 115.111864 197.087686 \nL 108.353311 190.215678 \nL 101.306944 182.215846 \nL 94.055301 173.028704 \nL 86.714046 162.639125 \nL 79.437191 151.097197 \nL 72.420866 138.541024 \nL 65.904313 125.218188 \nL 60.166283 111.500595 \nL 55.515207 97.885782 \nL 52.271557 84.976951 \nL 50.742127 73.436512 \nL 51.187636 63.913092 \nL 53.787749 56.951056 \nL 58.609509 52.900952 \nL 65.586904 51.855043 \nL 74.517675 53.628939 \nL 85.080317 57.797736 \nL 96.868751 63.777107 \nL 109.437497 70.925148 \nL 159.540693 100.802599 \nL 170.609033 107.064117 \nL 180.793382 112.624096 \nL 190.055125 117.500916 \nL 205.859966 125.424556 \nL 218.366043 131.363336 \nL 232.141801 137.627432 \nL 241.593354 141.75186 \nL 248.249507 144.418508 \nL 251.690396 145.566789 \nL 254.609665 146.28088 \nL 257.171125 146.596854 \nL 259.48648 146.54109 \nL 261.624988 146.137347 \nL 263.621539 145.412143 \nL 265.483506 144.398834 \nL 267.196731 143.140633 \nL 268.731045 141.692394 \nL 270.045736 140.12096 \nL 271.095164 138.503837 \nL 271.834576 136.925978 \nL 272.225945 135.474854 \nL 272.243423 134.234209 \nL 272.108339 133.716317 \nL 271.877835 133.277379 \nL 271.553859 132.92392 \nL 271.139674 132.661132 \nL 270.639819 132.492768 \nL 269.407324 132.446969 \nL 267.915443 132.787186 \nL 266.237029 133.492308 \nL 264.453353 134.52307 \nL 262.648317 135.826891 \nL 260.903009 137.342893 \nL 259.291386 139.006445 \nL 257.877132 140.752677 \nL 256.712008 142.518864 \nL 255.835393 144.245728 \nL 255.274707 145.877929 \nL 255.046405 147.364062 \nL 255.157138 148.65637 \nL 255.60482 149.710542 \nL 256.379381 150.485673 \nL 257.46309 150.944669 \nL 258.830401 151.055202 \nL 260.447376 150.791333 \nL 262.270785 150.135882 \nL 264.247098 149.083506 \nL 266.31171 147.644329 \nL 268.388659 145.84778 \nL 270.391466 143.745987 \nL 272.225377 141.415888 \nL 273.791515 138.958978 \nL 274.992959 136.497838 \nL 275.742608 134.168718 \nL 275.925645 133.097339 \nL 275.97199 132.110572 \nL 275.877411 131.224006 \nL 275.639818 130.451709 \nL 275.259405 129.805832 \nL 274.738744 129.29628 \nL 274.082779 128.930491 \nL 273.298765 128.713264 \nL 272.396137 128.646718 \nL 271.386291 128.730334 \nL 270.282337 128.961092 \nL 267.851104 129.840866 \nL 265.228714 131.221607 \nL 262.546694 133.017535 \nL 259.931307 135.132092 \nL 257.495328 137.46682 \nL 255.332839 139.927585 \nL 253.517066 142.427989 \nL 252.100734 144.890396 \nL 251.118158 147.245403 \nL 250.588212 149.430378 \nL 250.517485 151.387684 \nL 250.653715 152.263885 \nL 250.903016 153.062962 \nL 251.263855 153.778432 \nL 251.734296 154.403869 \nL 252.312012 154.932925 \nL 252.994285 155.359328 \nL 253.777961 155.67691 \nL 254.65943 155.879645 \nL 255.634552 155.961713 \nL 256.698606 155.91759 \nL 257.846199 155.742163 \nL 259.071172 155.430861 \nL 260.366515 154.979805 \nL 263.135371 153.647663 \nL 266.075724 151.736803 \nL 269.090932 149.264371 \nL 272.063298 146.282268 \nL 274.854993 142.885019 \nL 276.135501 141.073143 \nL 277.312431 139.214362 \nL 278.365559 137.333558 \nL 279.275042 135.457928 \nL 280.02193 133.616447 \nL 280.588724 131.839189 \nL 280.959999 130.156465 \nL 281.122973 128.597932 \nL 281.068067 127.191594 \nL 280.789398 125.962828 \nL 280.285169 124.933513 \nL 279.557896 124.121237 \nL 278.614527 123.538731 \nL 277.466343 123.193544 \nL 276.1287 123.08793 \nL 274.620629 123.219039 \nL 272.964273 123.579297 \nL 271.184191 124.15702 \nL 269.306658 124.937112 \nL 267.358878 125.901891 \nL 265.36825 127.031884 \nL 261.364821 129.705341 \nL 257.494968 132.793432 \nL 253.925743 136.142899 \nL 250.785694 139.620232 \nL 248.164404 143.114023 \nL 246.116769 146.532946 \nL 245.317416 148.19026 \nL 244.669879 149.801528 \nL 244.174453 151.358989 \nL 243.830622 152.855274 \nL 243.637247 154.283295 \nL 243.592737 155.636081 \nL 243.695185 156.906723 \nL 243.942489 158.08826 \nL 244.332414 159.173578 \nL 244.862656 160.155375 \nL 245.530859 161.026087 \nL 246.334618 161.77785 \nL 247.271439 162.40247 \nL 248.338686 162.89142 \nL 249.533496 163.235867 \nL 250.852664 163.426697 \nL 252.29251 163.4546 \nL 253.848722 163.310191 \nL 255.51616 162.984168 \nL 257.288663 162.467518 \nL 259.158812 161.751802 \nL 261.117688 160.829487 \nL 263.154631 159.694396 \nL 265.256975 158.342146 \nL 267.409803 156.770755 \nL 269.59573 154.981251 \nL 271.794729 152.978359 \nL 273.984007 150.771157 \nL 276.137973 148.373797 \nL 278.228321 145.806074 \nL 280.224242 143.093906 \nL 282.092821 140.269581 \nL 283.799602 137.371758 \nL 285.309363 134.445036 \nL 286.587073 131.539188 \nL 287.599043 128.707894 \nL 288.314205 126.007045 \nL 288.705492 123.492686 \nL 288.751192 121.218666 \nL 288.436225 119.234179 \nL 287.753213 117.581452 \nL 286.703246 116.293663 \nL 285.296298 115.393422 \nL 283.551126 114.891963 \nL 281.494794 114.788962 \nL 279.161697 115.073203 \nL 276.592248 115.723871 \nL 273.83127 116.71234 \nL 270.926253 118.004282 \nL 267.925611 119.561768 \nL 264.876979 121.345409 \nL 261.825776 123.316092 \nL 258.813988 125.436453 \nL 255.879277 127.67189 \nL 253.054419 129.991233 \nL 250.367012 132.367037 \nL 247.839473 134.775612 \nL 245.489231 137.196833 \nL 243.3291 139.613824 \nL 241.367744 142.012529 \nL 239.610236 144.381321 \nL 238.058622 146.710543 \nL 236.712498 148.99212 \nL 235.569542 151.219201 \nL 234.626029 153.385828 \nL 233.877267 155.486685 \nL 233.317999 157.516851 \nL 232.942724 159.471621 \nL 232.745981 161.346315 \nL 232.722562 163.136142 \nL 232.86769 164.836081 \nL 233.177129 166.440763 \nL 233.647282 167.944341 \nL 234.27523 169.340407 \nL 235.058742 170.621882 \nL 235.996266 171.780936 \nL 237.086875 172.808865 \nL 238.33019 173.696017 \nL 239.726284 174.431697 \nL 241.275543 175.004102 \nL 242.97851 175.400254 \nL 244.835677 175.605993 \nL 246.847256 175.60595 \nL 249.012899 175.383634 \nL 251.331374 174.921558 \nL 253.800182 174.201451 \nL 256.415134 173.204591 \nL 259.169859 171.912309 \nL 262.055264 170.306623 \nL 265.058939 168.37111 \nL 268.164532 166.091993 \nL 271.351108 163.459468 \nL 274.592521 160.469289 \nL 277.856841 157.124554 \nL 281.105897 153.437644 \nL 284.295012 149.432207 \nL 287.373027 145.145023 \nL 290.282662 140.627508 \nL 292.961376 135.94658 \nL 295.342768 131.184632 \nL 297.358563 126.438257 \nL 298.941216 121.815501 \nL 300.027056 117.43163 \nL 300.559803 113.403396 \nL 300.494252 109.84226 \nL 299.799729 106.847188 \nL 298.463041 104.497763 \nL 296.490489 102.848534 \nL 293.908636 101.925453 \nL 290.763681 101.72488 \nL 287.119404 102.215225 \nL 283.053873 103.341194 \nL 278.655238 105.029619 \nL 274.01703 107.196272 \nL 269.23347 109.752619 \nL 264.395194 112.61174 \nL 259.58571 115.692947 \nL 254.878799 118.924894 \nL 250.336882 122.247164 \nL 246.010339 125.610612 \nL 241.937571 128.976792 \nL 238.145724 132.31677 \nL 234.651787 135.609656 \nL 231.46396 138.841025 \nL 228.58313 142.0015 \nL 226.004315 145.085456 \nL 223.718057 148.089931 \nL 221.711649 151.013802 \nL 219.970225 153.857138 \nL 218.477672 156.620703 \nL 217.217387 159.30564 \nL 216.172871 161.913231 \nL 215.328204 164.444729 \nL 214.668391 166.901256 \nL 214.179613 169.283766 \nL 213.849397 171.592966 \nL 213.666726 173.829305 \nL 213.622091 175.992962 \nL 213.707506 178.083794 \nL 213.916498 180.101332 \nL 214.244081 182.044725 \nL 214.686701 183.912722 \nL 215.2422 185.703596 \nL 215.909754 187.415091 \nL 216.689816 189.04434 \nL 217.584073 190.587781 \nL 218.595389 192.041037 \nL 219.727761 193.398793 \nL 220.986274 194.654653 \nL 222.377051 195.800969 \nL 223.907203 196.828638 \nL 225.58478 197.726896 \nL 227.418687 198.483063 \nL 229.418612 199.082269 \nL 231.594905 199.507158 \nL 233.95842 199.73757 \nL 236.520335 199.750224 \nL 239.291868 199.518386 \nL 242.283941 199.011579 \nL 245.506739 198.195358 \nL 248.969121 197.031203 \nL 252.6779 195.476571 \nL 256.636933 193.485247 \nL 260.846003 191.008071 \nL 265.299445 187.994193 \nL 269.984559 184.393026 \nL 274.879743 180.157088 \nL 279.952405 175.245913 \nL 285.15677 169.631141 \nL 290.431593 163.30283 \nL 295.69815 156.276895 \nL 300.858657 148.603244 \nL 305.795636 140.373749 \nL 310.37263 131.728955 \nL 314.436849 122.86176 \nL 317.824212 114.016146 \nL 320.367136 105.479118 \nL 321.904938 97.564575 \nL 322.296475 90.589281 \nL 321.433724 84.843008 \nL 319.254644 80.556896 \nL 315.753185 77.875985 \nL 310.984465 76.84153 \nL 305.06364 77.387767 \nL 298.158174 79.353898 \nL 290.47445 82.508901 \nL 282.240826 86.583411 \nL 273.689794 91.301849 \nL 265.041795 96.409282 \nL 256.492658 101.689326 \nL 240.307132 112.137494 \nL 226.006292 121.829176 \nL 219.689977 126.292588 \nL 213.944506 130.494002 \nL 208.756795 134.443913 \nL 204.100271 138.159016 \nL 199.939032 141.658593 \nL 196.231274 144.962125 \nL 192.932009 148.087837 \nL 189.995139 151.051926 \nL 185.027384 156.548192 \nL 180.984568 161.533588 \nL 171.602006 173.790407 \nL 168.668888 176.98184 \nL 167.144685 178.39576 \nL 165.559835 179.680289 \nL 163.899238 180.827634 \nL 162.148865 181.82857 \nL 160.295649 182.672306 \nL 158.327404 183.346368 \nL 156.232826 183.836492 \nL 154.001505 184.126485 \nL 151.624038 184.198146 \nL 149.092169 184.031202 \nL 146.399044 183.603335 \nL 143.539534 182.890248 \nL 140.510651 181.865919 \nL 137.312072 180.50299 \nL 133.946782 178.773386 \nL 130.421813 176.649247 \nL 126.749108 174.104151 \nL 122.946474 171.114806 \nL 119.03861 167.663172 \nL 115.058141 163.739045 \nL 111.046606 159.343142 \nL 107.05531 154.49048 \nL 103.14583 149.213959 \nL 99.390133 143.567735 \nL 95.87002 137.629985 \nL 92.675711 131.504486 \nL 89.90345 125.320261 \nL 87.651994 119.22881 \nL 86.017954 113.398359 \nL 85.090204 108.005017 \nL 84.943693 103.221411 \nL 85.633196 99.203576 \nL 87.187748 96.077966 \nL 89.606492 93.930306 \nL 92.856662 92.798296 \nL 96.87418 92.669357 \nL 101.5669 93.484041 \nL 106.820248 95.144316 \nL 112.504593 97.525209 \nL 118.483379 100.487944 \nL 124.621135 103.892282 \nL 130.79045 107.606695 \nL 136.877387 111.515385 \nL 142.785093 115.52214 \nL 148.435574 119.551293 \nL 153.769909 123.546603 \nL 158.747254 127.468815 \nL 163.343004 131.292569 \nL 167.546496 135.003281 \nL 171.35853 138.594278 \nL 174.788934 142.064353 \nL 177.854305 145.415836 \nL 180.57603 148.653136 \nL 182.978584 151.781742 \nL 185.088161 154.807483 \nL 186.931557 157.73612 \nL 188.535334 160.573082 \nL 189.925186 163.32333 \nL 191.125504 165.991332 \nL 193.046943 171.096102 \nL 194.460443 175.914282 \nL 195.497756 180.46736 \nL 196.263581 184.773069 \nL 197.075873 190.800443 \nL 197.976795 199.801125 \nL 198.931501 209.08207 \nL 199.521398 213.171114 \nL 200.265237 216.925038 \nL 201.229429 220.361695 \nL 202.034457 222.481983 \nL 203.003809 224.466358 \nL 204.173994 226.312013 \nL 205.589353 228.011667 \nL 207.30387 229.551656 \nL 209.383286 230.909058 \nL 211.907529 232.047466 \nL 213.365978 232.518006 \nL 214.973413 232.910766 \nL 216.745037 233.214171 \nL 218.697451 233.414074 \nL 220.848721 233.493236 \nL 223.218415 233.430706 \nL 225.827611 233.201111 \nL 228.698854 232.773809 \nL 231.85602 232.111955 \nL 235.324096 231.171427 \nL 239.128796 229.899696 \nL 243.295983 228.234645 \nL 247.850816 226.103445 \nL 252.816564 223.421628 \nL 258.21294 220.092593 \nL 264.053893 216.007867 \nL 270.344673 211.048605 \nL 277.078075 205.088951 \nL 284.229756 198.002112 \nL 291.752547 189.670041 \nL 299.569846 179.997718 \nL 307.568439 168.932776 \nL 315.591258 156.490573 \nL 323.431237 142.783422 \nL 330.827853 128.050784 \nL 337.468428 112.684208 \nL 342.996859 97.238007 \nL 347.032044 82.414648 \nL 349.197247 69.015164 \nL 349.159637 57.851314 \nL 346.675463 49.62792 \nL 341.633169 44.818972 \nL 334.084044 43.57186 \nL 324.250699 45.67275 \nL 312.508337 50.589175 \nL 299.341177 57.57868 \nL 285.283718 65.828641 \nL 256.537911 83.239152 \nL 242.692065 91.363527 \nL 229.598976 98.704159 \nL 217.437928 105.148295 \nL 206.305332 110.683681 \nL 196.232506 115.360796 \nL 187.20353 119.263385 \nL 179.170892 122.488057 \nL 172.068006 125.131695 \nL 165.818558 127.28458 \nL 160.343105 129.027254 \nL 151.405347 131.552004 \nL 144.684916 133.15118 \nL 137.747971 134.486453 \nL 130.758208 135.740373 \nL 130.201667 136.06718 \nL 130.033423 136.471305 \nL 130.153578 136.971028 \nL 130.690776 137.906159 \nL 132.459522 140.718944 \nL 133.038099 142.002249 \nL 133.347754 143.194542 \nL 133.328165 144.201503 \nL 133.118589 144.727266 \nL 132.751961 145.110704 \nL 132.235455 145.333564 \nL 131.582227 145.381891 \nL 130.811128 145.246893 \nL 129.946413 144.925763 \nL 128.539131 144.106083 \nL 127.105074 142.925312 \nL 125.776773 141.472163 \nL 124.6916 139.875583 \nL 123.976824 138.295384 \nL 123.756875 137.336605 \nL 123.765557 136.511828 \nL 124.010825 135.865091 \nL 124.488492 135.431616 \nL 125.181938 135.235383 \nL 126.062797 135.287581 \nL 127.092623 135.586331 \nL 128.225301 136.117455 \nL 129.41001 136.856173 \nL 131.170165 138.2793 \nL 132.760651 139.959216 \nL 134.036056 141.748456 \nL 134.654927 142.928793 \nL 135.060412 144.04986 \nL 135.237091 145.071934 \nL 135.17718 145.958082 \nL 134.880248 146.674564 \nL 134.352915 147.191324 \nL 133.608695 147.482619 \nL 132.667923 147.527908 \nL 131.557796 147.313038 \nL 130.312479 146.831645 \nL 128.973046 146.086749 \nL 127.587306 145.092485 \nL 126.209081 143.875513 \nL 124.896961 142.476018 \nL 123.712282 140.947753 \nL 122.716281 139.356832 \nL 121.96642 137.778973 \nL 121.512213 136.29518 \nL 121.390876 134.986066 \nL 121.62336 133.925468 \nL 121.873639 133.508025 \nL 122.211438 133.17419 \nL 122.633759 132.928685 \nL 123.136336 132.774873 \nL 124.359277 132.748833 \nL 125.82405 133.095246 \nL 127.461154 133.792785 \nL 129.193033 134.803031 \nL 130.939615 136.074983 \nL 132.623458 137.54979 \nL 134.173923 139.164947 \nL 135.530091 140.857627 \nL 136.642401 142.566935 \nL 137.473127 144.235176 \nL 137.995995 145.808388 \nL 138.195334 147.236374 \nL 138.065019 148.472518 \nL 137.607503 149.473658 \nL 136.833157 150.200122 \nL 135.759992 150.616238 \nL 134.413818 150.691319 \nL 132.828788 150.401283 \nL 131.048221 149.731025 \nL 129.125465 148.677363 \nL 127.124554 147.2525 \nL 125.120231 145.487539 \nL 123.196989 143.435545 \nL 121.446662 141.173209 \nL 119.964258 138.800238 \nL 118.841947 136.435573 \nL 118.161565 134.210109 \nL 118.00779 133.191167 \nL 117.986262 132.256011 \nL 118.100654 131.419295 \nL 118.352564 130.694159 \nL 118.741409 130.091885 \nL 119.264344 129.621605 \nL 119.916276 129.290085 \nL 120.689938 129.101587 \nL 121.576029 129.057855 \nL 122.563408 129.158142 \nL 123.639352 129.399366 \nL 125.99999 130.281864 \nL 128.536537 131.642956 \nL 131.123054 133.400242 \nL 133.638897 135.461145 \nL 135.976325 137.731157 \nL 138.045357 140.119598 \nL 139.775807 142.542836 \nL 141.116954 144.925337 \nL 142.035627 147.199213 \nL 142.513484 149.30292 \nL 142.544117 151.179682 \nL 142.392351 152.016133 \nL 142.130535 152.775956 \nL 141.760222 153.452774 \nL 141.283377 154.040317 \nL 140.702374 154.532399 \nL 140.020006 154.922934 \nL 139.239503 155.205984 \nL 138.364586 155.375778 \nL 137.399511 155.426802 \nL 136.349139 155.353891 \nL 135.21901 155.152322 \nL 134.015427 154.817959 \nL 131.417518 153.738257 \nL 128.624625 152.10032 \nL 125.723808 149.911975 \nL 122.821687 147.211339 \nL 120.044376 144.074512 \nL 117.534467 140.621074 \nL 116.427275 138.825231 \nL 115.444248 137.014921 \nL 114.604108 135.216517 \nL 113.924569 133.457878 \nL 113.421788 131.767674 \nL 113.109831 130.174608 \nL 113.000118 128.706524 \nL 113.100899 127.389496 \nL 113.416859 126.24695 \nL 113.94875 125.298851 \nL 114.693235 124.561027 \nL 115.642792 124.044684 \nL 116.785865 123.756129 \nL 118.107107 123.696731 \nL 119.587819 123.86313 \nL 121.206467 124.247606 \nL 122.939339 124.838664 \nL 124.761232 125.621709 \nL 126.646159 126.579781 \nL 128.568043 127.694321 \nL 132.421715 130.314712 \nL 136.134145 133.327067 \nL 139.547282 136.585599 \nL 142.539416 139.962662 \nL 145.025414 143.350874 \nL 146.95269 146.661306 \nL 147.697724 148.26369 \nL 148.294833 149.819654 \nL 148.743641 151.321462 \nL 149.044554 152.761727 \nL 149.19858 154.13332 \nL 149.207179 155.429236 \nL 149.072132 156.642505 \nL 148.79545 157.766108 \nL 148.379289 158.792905 \nL 147.82592 159.715568 \nL 147.13771 160.526542 \nL 146.317129 161.218006 \nL 145.366788 161.78185 \nL 144.289501 162.209692 \nL 143.088376 162.492903 \nL 141.766925 162.622667 \nL 140.329199 162.590067 \nL 138.779947 162.386208 \nL 137.124804 162.002413 \nL 135.370484 161.430442 \nL 133.525006 160.662783 \nL 131.597916 159.692992 \nL 129.600524 158.516136 \nL 127.546133 157.129277 \nL 125.450257 155.532007 \nL 123.330807 153.727058 \nL 121.208218 151.720941 \nL 119.105534 149.524555 \nL 117.048375 147.153796 \nL 115.064814 144.630059 \nL 113.185073 141.980549 \nL 111.441123 139.238436 \nL 109.866037 136.44267 \nL 108.49321 133.637466 \nL 107.355407 130.87139 \nL 106.48361 128.196036 \nL 105.905814 125.664342 \nL 105.645768 123.328568 \nL 105.721715 121.238085 \nL 106.145288 119.437187 \nL 106.920627 117.962976 \nL 108.043765 116.843679 \nL 109.502435 116.097412 \nL 111.276254 115.731632 \nL 113.33734 115.743188 \nL 115.651299 116.119146 \nL 118.178543 116.838062 \nL 120.875796 117.871718 \nL 123.697738 119.187061 \nL 126.598608 120.748139 \nL 129.533698 122.51796 \nL 132.460667 124.460034 \nL 135.340567 126.539641 \nL 138.138612 128.724692 \nL 140.824647 130.98628 \nL 143.373353 133.298908 \nL 145.764231 135.640495 \nL 147.981371 137.992175 \nL 150.013109 140.338008 \nL 151.851577 142.664618 \nL 153.492181 144.960797 \nL 154.93308 147.217125 \nL 156.174667 149.425595 \nL 157.219056 151.579297 \nL 158.069633 153.672128 \nL 158.730648 155.698542 \nL 159.206856 157.653338 \nL 159.503215 159.531478 \nL 159.62464 161.327917 \nL 159.575796 163.037472 \nL 159.360965 164.654697 \nL 158.983919 166.173771 \nL 158.447866 167.588389 \nL 157.755401 168.891657 \nL 156.908525 170.07601 \nL 155.908653 171.133102 \nL 154.756689 172.05374 \nL 153.453107 172.827773 \nL 151.99807 173.444071 \nL 150.391573 173.890421 \nL 148.633629 174.153532 \nL 146.724487 174.219049 \nL 144.664883 174.071584 \nL 142.456341 173.694851 \nL 140.101515 173.071857 \nL 137.604595 172.185206 \nL 134.97174 171.017549 \nL 132.211578 169.552128 \nL 129.335738 167.773594 \nL 126.359437 165.668933 \nL 123.302054 163.228668 \nL 120.187703 160.448253 \nL 117.045767 157.32968 \nL 113.91133 153.883194 \nL 110.825444 150.1291 \nL 107.835137 146.099454 \nL 104.993139 141.839475 \nL 102.357206 137.408478 \nL 99.988902 132.880018 \nL 97.951936 128.340973 \nL 96.309888 123.889424 \nL 95.123458 119.631148 \nL 94.447353 115.674804 \nL 94.326949 112.126057 \nL 94.795069 109.081187 \nL 95.869156 106.620694 \nL 97.549155 104.80384 \nL 99.816443 103.664749 \nL 102.63398 103.210655 \nL 105.947723 103.422546 \nL 109.689248 104.258096 \nL 113.779301 105.656358 \nL 118.131932 107.543638 \nL 122.658775 109.839554 \nL 127.273158 112.462769 \nL 131.893608 115.335625 \nL 136.446614 118.387643 \nL 140.868505 121.557522 \nL 145.106491 124.794048 \nL 149.118902 128.055975 \nL 152.874826 131.311248 \nL 156.353272 134.535835 \nL 159.542035 137.712359 \nL 162.436391 140.828779 \nL 165.037764 143.877147 \nL 167.352415 146.852562 \nL 169.390236 149.752265 \nL 171.163668 152.574982 \nL 172.686773 155.32038 \nL 173.974452 157.988688 \nL 175.041807 160.580409 \nL 175.903637 163.096138 \nL 176.57404 165.536412 \nL 177.066125 167.901639 \nL 177.391814 170.192006 \nL 177.561686 172.407445 \nL 177.584908 174.547599 \nL 177.469184 176.611762 \nL 177.220754 178.598861 \nL 176.8444 180.507389 \nL 176.343484 182.335365 \nL 175.719986 184.080252 \nL 174.974549 185.738894 \nL 174.106538 187.307401 \nL 173.114088 188.781075 \nL 171.994163 190.154242 \nL 170.742609 191.420149 \nL 169.354219 192.570766 \nL 167.8228 193.596626 \nL 166.141241 194.486596 \nL 164.301614 195.227654 \nL 162.295278 195.804641 \nL 160.113018 196.199984 \nL 157.745229 196.393422 \nL 155.182143 196.361741 \nL 152.414125 196.078504 \nL 149.432049 195.513852 \nL 146.227779 194.634388 \nL 142.794773 193.403171 \nL 139.128827 191.77996 \nL 135.229008 189.721703 \nL 131.098752 187.183474 \nL 126.747212 184.11989 \nL 122.190767 180.487281 \nL 117.454766 176.246611 \nL 112.575407 171.367399 \nL 107.601691 165.832651 \nL 102.597272 159.644793 \nL 97.642034 152.832307 \nL 92.83308 145.456717 \nL 88.284719 137.618956 \nL 84.12712 129.464066 \nL 80.503118 121.182687 \nL 77.562857 113.007798 \nL 75.456138 105.205276 \nL 74.322627 98.05778 \nL 74.280558 91.84247 \nL 75.415093 86.804952 \nL 77.767876 83.133138 \nL 81.329495 80.935918 \nL 86.036478 80.231145 \nL 91.773704 80.945721 \nL 98.382227 82.928055 \nL 105.671556 85.970168 \nL 113.434489 89.834658 \nL 121.46232 94.281161 \nL 129.558395 99.088049 \nL 137.548514 104.066798 \nL 145.287564 109.068729 \nL 152.66244 113.985374 \nL 159.591826 118.744395 \nL 166.023723 123.303141 \nL 171.931604 127.641544 \nL 177.309949 131.755496 \nL 182.169727 135.651209 \nL 186.534214 139.340902 \nL 190.435327 142.839611 \nL 193.910567 146.163072 \nL 197.000562 149.326372 \nL 199.747172 152.343204 \nL 202.192066 155.225488 \nL 206.336693 160.624897 \nL 209.733183 165.58433 \nL 217.830023 178.085675 \nL 220.447834 181.462245 \nL 221.823477 182.990756 \nL 223.263691 184.405952 \nL 224.782502 185.701255 \nL 226.393298 186.868734 \nL 228.108946 187.898995 \nL 229.941892 188.780956 \nL 231.904196 189.501719 \nL 234.007552 190.046335 \nL 236.263239 190.397628 \nL 238.682028 190.535987 \nL 241.274004 190.439206 \nL 244.048335 190.082352 \nL 247.012914 189.437717 \nL 250.173928 188.474863 \nL 253.53529 187.160847 \nL 257.097934 185.460686 \nL 260.858954 183.338088 \nL 264.810608 180.756621 \nL 268.939128 177.681337 \nL 273.223417 174.081047 \nL 277.633616 169.931226 \nL 282.129657 165.217664 \nL 286.659843 159.940812 \nL 291.159654 154.120674 \nL 295.550972 147.801929 \nL 299.741972 141.058762 \nL 303.627969 133.998677 \nL 307.093524 126.764297 \nL 310.01608 119.532095 \nL 312.271259 112.507138 \nL 313.739755 105.913113 \nL 314.315542 99.977839 \nL 313.914664 94.915286 \nL 312.483701 90.906165 \nL 310.006723 88.080062 \nL 306.509533 86.50233 \nL 302.060306 86.168359 \nL 296.766254 87.006462 \nL 290.766532 88.888942 \nL 284.222318 91.648959 \nL 277.30544 95.100049 \nL 270.187053 99.054691 \nL 263.027736 103.339407 \nL 255.969901 107.804818 \nL 249.132913 112.330613 \nL 242.610904 116.826098 \nL 236.472819 121.22772 \nL 230.764152 125.494753 \nL 225.50974 129.604433 \nL 220.717096 133.547212 \nL 216.379858 137.322615 \nL 212.481057 140.935925 \nL 208.996051 144.39566 \nL 205.895033 147.711811 \nL 203.145092 150.894649 \nL 200.711847 153.953987 \nL 198.560712 156.898783 \nL 196.657816 159.736953 \nL 193.468543 165.119769 \nL 190.907009 170.145339 \nL 187.80633 177.075285 \nL 184.238446 185.257032 \nL 182.423023 188.90336 \nL 180.454619 192.244432 \nL 178.245379 195.261863 \nL 177.023862 196.640182 \nL 175.710195 197.924882 \nL 174.293487 199.109529 \nL 172.762548 200.186333 \nL 171.105816 201.145933 \nL 169.311309 201.977169 \nL 167.366587 202.66679 \nL 165.258765 203.199152 \nL 162.974553 203.555874 \nL 160.500338 203.715469 \nL 157.822348 203.65297 \nL 154.926874 203.33952 \nL 151.800592 202.74202 \nL 148.43101 201.822824 \nL 144.807065 200.539545 \nL 140.919881 198.845052 \nL 136.763765 196.687781 \nL 132.337427 194.012465 \nL 127.645495 190.761481 \nL 122.700342 186.876997 \nL 117.5242 182.304177 \nL 112.151546 176.995626 \nL 106.631737 170.917347 \nL 101.031619 164.056159 \nL 95.438015 156.428537 \nL 89.959599 148.090356 \nL 84.727762 139.146515 \nL 79.895788 129.759012 \nL 75.635717 120.151244 \nL 72.13234 110.606107 \nL 69.573811 101.455548 \nL 68.139064 93.059986 \nL 67.98268 85.778138 \nL 69.218754 79.930106 \nL 71.906029 75.759335 \nL 76.036846 73.401214 \nL 81.53252 72.865511 \nL 88.246563 74.037484 \nL 95.975828 76.69775 \nL 104.47796 80.55642 \nL 113.492253 85.293171 \nL 122.760465 90.594966 \nL 132.044608 96.184711 \nL 149.881175 107.388881 \nL 165.8533 117.782723 \nL 179.435083 126.964054 \nL 190.572576 134.942139 \nL 195.290432 138.53117 \nL 199.49742 141.886491 \nL 203.242384 145.031547 \nL 209.549277 150.771327 \nL 214.609123 155.880717 \nL 220.642709 162.53392 \nL 225.692595 168.071229 \nL 228.900548 171.138658 \nL 230.526077 172.474476 \nL 232.191502 173.670531 \nL 233.913607 174.719291 \nL 235.707493 175.611839 \nL 237.586691 176.337869 \nL 239.563265 176.885604 \nL 241.64782 177.241794 \nL 243.849496 177.391684 \nL 246.175875 177.319071 \nL 248.632824 177.006348 \nL 251.224281 176.434709 \nL 253.951952 175.584395 \nL 256.814931 174.435101 \nL 259.809257 172.966549 \nL 262.927372 171.159286 \nL 266.15751 168.995671 \nL 269.483075 166.461194 \nL 272.881941 163.546063 \nL 276.325802 160.247041 \nL 279.779567 156.56956 \nL 283.200923 152.53 \nL 286.540121 148.157957 \nL 289.74008 143.498304 \nL 292.736976 138.612787 \nL 295.461375 133.580783 \nL 297.84003 128.498819 \nL 299.798364 123.47861 \nL 301.263691 118.643266 \nL 302.168943 114.121717 \nL 302.456825 110.04154 \nL 302.083964 106.520824 \nL 301.024679 103.659797 \nL 299.273957 101.533411 \nL 296.849132 100.185799 \nL 293.790074 99.627597 \nL 290.157633 99.836391 \nL 286.030561 100.760408 \nL 281.501126 102.324592 \nL 276.669925 104.438247 \nL 271.640445 107.003102 \nL 266.513962 109.920685 \nL 261.38512 113.098273 \nL 256.338557 116.453118 \nL 251.446679 119.914802 \nL 246.768529 123.425995 \nL 242.349656 126.941962 \nL 238.222725 130.429278 \nL 234.408695 133.86413 \nL 230.918311 137.230446 \nL 227.753765 140.518158 \nL 224.910356 143.721632 \nL 222.378082 146.838376 \nL 220.143059 149.868023 \nL 218.188788 152.811543 \nL 216.497195 155.670698 \nL 215.049516 158.447607 \nL 213.826981 161.144533 \nL 212.811351 163.763664 \nL 211.985319 166.307058 \nL 211.332794 168.776555 \nL 210.839097 171.173769 \nL 210.49107 173.500056 \nL 210.277139 175.756521 \nL 210.187328 177.944031 \nL 210.347999 182.114309 \nL 210.923991 186.012353 \nL 211.888921 189.634674 \nL 212.514709 191.339698 \nL 213.237123 192.971581 \nL 214.058403 194.527834 \nL 214.981879 196.005304 \nL 216.011949 197.40006 \nL 217.154042 198.707263 \nL 218.414602 199.921027 \nL 219.801066 201.034226 \nL 221.321843 202.038302 \nL 222.986286 202.923034 \nL 224.804662 203.67627 \nL 226.788097 204.283615 \nL 228.9485 204.72811 \nL 231.298466 204.989856 \nL 233.851107 205.04562 \nL 236.619849 204.868418 \nL 239.618137 204.42711 \nL 242.859034 203.686013 \nL 246.354708 202.604614 \nL 250.115728 201.137398 \nL 254.1502 199.233924 \nL 258.462647 196.839258 \nL 263.052622 193.894908 \nL 267.913017 190.340456 \nL 273.028051 186.116146 \nL 278.370935 181.166661 \nL 283.901269 175.446308 \nL 289.562252 168.925798 \nL 295.277914 161.600678 \nL 300.950657 153.501084 \nL 306.459594 144.702162 \nL 311.660137 135.33395 \nL 316.385659 125.588768 \nL 320.451804 115.723701 \nL 323.664122 106.055412 \nL 325.82928 96.945001 \nL 326.76948 88.772002 \nL 326.339136 81.898841 \nL 324.441645 76.630183 \nL 321.04384 73.174464 \nL 316.185031 71.615846 \nL 309.978523 71.903848 \nL 302.604451 73.863716 \nL 294.294728 77.225419 \nL 285.312563 81.664195 \nL 275.929974 86.843195 \nL 266.406993 92.449755 \nL 256.975194 98.219924 \nL 239.111492 109.497141 \nL 223.358631 119.728635 \nL 210.115796 128.648556 \nL 199.342112 136.342162 \nL 194.795907 139.791149 \nL 190.747257 143.009958 \nL 183.934782 148.848451 \nL 178.491075 154.007734 \nL 174.032427 158.586187 \nL 166.78935 166.18343 \nL 163.496571 169.214353 \nL 161.844457 170.528147 \nL 160.161725 171.700103 \nL 158.430911 172.72301 \nL 156.63646 173.588344 \nL 154.764568 174.286233 \nL 152.803113 174.805426 \nL 150.741595 175.133339 \nL 148.571159 175.256031 \nL 146.284672 175.158289 \nL 143.876847 174.823747 \nL 141.344459 174.235089 \nL 138.686609 173.374325 \nL 135.905071 172.223262 \nL 133.00472 170.764053 \nL 129.993994 168.980021 \nL 126.885436 166.856631 \nL 123.696267 164.382727 \nL 120.448955 161.552012 \nL 117.171767 158.364765 \nL 113.899228 154.829694 \nL 110.672419 150.965935 \nL 107.539073 146.80495 \nL 104.553301 142.392189 \nL 101.774936 137.788257 \nL 99.26834 133.069231 \nL 97.100642 128.325928 \nL 95.339373 123.661782 \nL 94.049546 119.189189 \nL 93.29026 115.024425 \nL 93.11109 111.281249 \nL 93.548501 108.063853 \nL 94.622686 105.459801 \nL 96.335161 103.533853 \nL 98.667478 102.323485 \nL 101.581261 101.836901 \nL 105.019716 102.053609 \nL 108.910414 102.92764 \nL 113.16915 104.392754 \nL 117.704477 106.36896 \nL 122.422409 108.769323 \nL 127.230862 111.506211 \nL 132.043509 114.496467 \nL 136.782752 117.665136 \nL 141.38172 120.947572 \nL 145.785333 124.290299 \nL 149.950518 127.650786 \nL 153.845743 130.996466 \nL 157.450053 134.303367 \nL 160.751808 137.554598 \nL 163.747249 140.738832 \nL 166.439037 143.848989 \nL 168.834847 146.881061 \nL 170.946069 149.833193 \nL 172.786676 152.704959 \nL 174.372235 155.49682 \nL 175.719099 158.209736 \nL 176.843746 160.84489 \nL 177.76226 163.403508 \nL 178.489938 165.886731 \nL 179.040995 168.295527 \nL 179.428373 170.630664 \nL 179.663599 172.892651 \nL 179.756716 175.081719 \nL 179.716249 177.197816 \nL 179.549208 179.240543 \nL 179.261108 181.20915 \nL 178.85601 183.10248 \nL 178.336566 184.918925 \nL 177.704071 186.656366 \nL 176.958519 188.312089 \nL 176.098655 189.882719 \nL 175.122024 191.364091 \nL 174.025021 192.751137 \nL 172.802941 194.037756 \nL 171.45002 195.216634 \nL 169.959494 196.279069 \nL 168.323647 197.214752 \nL 166.53388 198.011541 \nL 164.580799 198.655176 \nL 162.454312 199.129008 \nL 160.143788 199.413687 \nL 157.638223 199.486836 \nL 154.926506 199.322727 \nL 151.997729 198.892 \nL 148.841609 198.161409 \nL 145.449032 197.093681 \nL 141.812735 195.647543 \nL 137.928157 193.777985 \nL 133.794511 191.436879 \nL 129.416061 188.574094 \nL 124.803672 185.13925 \nL 119.976557 181.084312 \nL 114.964321 176.367176 \nL 109.809114 170.956415 \nL 104.567875 164.837239 \nL 99.31439 158.018608 \nL 94.141007 150.541114 \nL 89.159526 142.485004 \nL 84.50086 133.977233 \nL 80.3129 125.195986 \nL 76.756187 116.370812 \nL 73.996892 107.77648 \nL 72.197126 99.719111 \nL 71.502952 92.514344 \nL 72.031066 86.458999 \nL 73.855711 81.799907 \nL 76.997883 78.705119 \nL 81.418826 77.243511 \nL 87.019444 77.377607 \nL 93.646279 78.971557 \nL 101.103427 81.812655 \nL 109.168564 85.641524 \nL 117.610619 90.184339 \nL 126.206389 95.181163 \nL 134.754058 100.406132 \nL 143.082438 105.678364 \nL 158.574113 115.874475 \nL 172.012983 125.181775 \nL 177.886186 129.448416 \nL 183.199809 133.462805 \nL 187.976829 137.239909 \nL 192.250583 140.798204 \nL 196.061163 144.156937 \nL 199.452536 147.334517 \nL 202.470304 150.34751 \nL 205.16005 153.210256 \nL 209.730949 158.530619 \nL 213.49326 163.365061 \nL 221.121447 173.522879 \nL 224.013857 176.814156 \nL 225.509348 178.282445 \nL 227.060398 179.624985 \nL 228.682433 180.834553 \nL 230.389806 181.902519 \nL 232.195903 182.818741 \nL 234.11325 183.571432 \nL 236.153537 184.147045 \nL 238.327616 184.530134 \nL 240.645427 184.703247 \nL 243.115873 184.646828 \nL 245.746608 184.339202 \nL 248.543747 183.756629 \nL 251.511495 182.873425 \nL 254.65165 181.662299 \nL 257.963016 180.094848 \nL 261.4407 178.142332 \nL 265.075272 175.776757 \nL 268.851844 172.972378 \nL 272.749048 169.707626 \nL 276.737964 165.967522 \nL 280.781057 161.74662 \nL 284.831233 157.052324 \nL 288.83109 151.908511 \nL 292.712583 146.359195 \nL 296.397223 140.471729 \nL 299.797052 134.339159 \nL 302.81659 128.080891 \nL 305.355852 121.841175 \nL 307.314595 115.784647 \nL 308.597621 110.088786 \nL 309.120921 104.933272 \nL 308.818131 100.487162 \nL 307.646722 96.895169 \nL 305.593021 94.265043 \nL 302.675401 92.657937 \nL 298.944939 92.083668 \nL 294.483308 92.50158 \nL 289.398005 93.827032 \nL 283.815457 95.942185 \nL 277.87287 98.70918 \nL 271.709826 101.983455 \nL 265.460561 105.625434 \nL 259.247619 109.509173 \nL 253.177372 113.527723 \nL 247.337416 117.595238 \nL 241.795723 121.646592 \nL 236.601208 125.635282 \nL 231.785319 129.530416 \nL 227.364253 133.313451 \nL 223.341454 136.97507 \nL 219.710164 140.512448 \nL 216.455819 143.927074 \nL 213.558206 147.223065 \nL 210.993316 150.405946 \nL 208.734882 153.481809 \nL 206.755608 156.456781 \nL 205.028139 159.336683 \nL 203.525779 162.126875 \nL 202.223005 164.832192 \nL 200.121968 170.004954 \nL 198.554467 174.883885 \nL 197.379369 179.491851 \nL 196.483362 183.84741 \nL 195.473193 189.941023 \nL 193.125809 205.432292 \nL 192.169952 209.771078 \nL 191.402066 212.4537 \nL 190.495126 214.972054 \nL 189.415206 217.326253 \nL 188.122685 219.512653 \nL 186.570474 221.522357 \nL 184.702076 223.339041 \nL 183.628557 224.167111 \nL 182.449442 224.935757 \nL 181.154036 225.639194 \nL 179.730614 226.270273 \nL 178.166353 226.820225 \nL 176.447251 227.278327 \nL 174.55806 227.631522 \nL 172.482243 227.863962 \nL 170.201928 227.956471 \nL 167.697923 227.885924 \nL 164.949762 227.624525 \nL 161.93582 227.139004 \nL 158.63353 226.389715 \nL 155.019715 225.32968 \nL 151.071117 223.903587 \nL 146.765115 222.046869 \nL 142.080789 219.68494 \nL 137.000316 216.732761 \nL 131.51089 213.095071 \nL 125.607165 208.667575 \nL 119.294462 203.33966 \nL 112.592673 196.999227 \nL 105.541052 189.540412 \nL 98.203717 180.874982 \nL 90.675748 170.947965 \nL 83.089354 159.757785 \nL 75.619362 147.380112 \nL 68.486788 133.993197 \nL 61.958876 119.900429 \nL 56.343472 105.543469 \nL 51.975971 91.497589 \nL 49.197303 78.440842 \nL 48.323042 67.092365 \nL 49.60631 58.122824 \nL 53.19964 52.051055 \nL 59.123611 49.151224 \nL 67.250714 49.398311 \nL 77.31031 52.471774 \nL 88.915775 57.819385 \nL 101.608778 64.76207 \nL 114.91075 72.608212 \nL 141.600551 88.704316 \nL 154.295351 96.157038 \nL 166.237546 102.920594 \nL 177.290838 108.918992 \nL 187.387323 114.151926 \nL 196.512306 118.665587 \nL 204.689584 122.530205 \nL 218.414862 128.626822 \nL 229.103106 133.033423 \nL 237.348236 136.22078 \nL 246.303021 139.421744 \nL 252.431219 141.328528 \nL 255.467685 142.084223 \nL 257.920887 142.515596 \nL 259.943954 142.674974 \nL 261.6444 142.60368 \nL 263.094251 142.337556 \nL 264.338431 141.910633 \nL 265.401735 141.357325 \nL 266.294589 140.713566 \nL 267.31471 139.661326 \nL 267.936432 138.622675 \nL 268.142345 137.726451 \nL 268.047608 137.264885 \nL 267.774755 136.943976 \nL 267.337799 136.78293 \nL 266.757599 136.792597 \nL 265.679395 137.129385 \nL 264.452003 137.824823 \nL 263.199293 138.814628 \nL 262.044368 140.008564 \nL 261.097412 141.301382 \nL 260.446648 142.582738 \nL 260.152985 143.744907 \nL 260.172286 144.403957 \nL 260.366686 144.93931 \nL 260.73221 145.327812 \nL 261.259134 145.550162 \nL 261.932115 145.591604 \nL 262.730315 145.442769 \nL 263.627605 145.100577 \nL 265.089914 144.235916 \nL 266.580628 142.995832 \nL 267.960431 141.473065 \nL 269.085055 139.802901 \nL 269.626106 138.689689 \nL 269.960704 137.639516 \nL 270.064162 136.706062 \nL 269.922435 135.938811 \nL 269.533803 135.379443 \nL 268.909669 135.058781 \nL 268.074329 134.994677 \nL 267.063626 135.191149 \nL 265.922722 135.638717 \nL 264.703132 136.315867 \nL 263.459491 137.191268 \nL 261.667421 138.790401 \nL 260.11227 140.600387 \nL 259.277195 141.847738 \nL 258.641589 143.074819 \nL 258.228988 144.238333 \nL 258.054797 145.297441 \nL 258.126562 146.214198 \nL 258.444324 146.953912 \nL 259.000926 147.485615 \nL 259.782198 147.782705 \nL 260.766999 147.82385 \nL 261.927148 147.594207 \nL 263.227273 147.086944 \nL 264.624751 146.30498 \nL 266.069931 145.262789 \nL 267.506747 143.988037 \nL 268.873985 142.522668 \nL 270.107443 140.923041 \nL 271.142874 139.258689 \nL 271.919895 137.609417 \nL 272.386477 136.060678 \nL 272.503591 134.697459 \nL 272.249467 133.597386 \nL 271.981906 133.166608 \nL 271.622717 132.824025 \nL 271.175153 132.574495 \nL 270.643793 132.421414 \nL 269.354261 132.410743 \nL 267.814048 132.789731 \nL 266.096902 133.534439 \nL 264.284685 134.603206 \nL 262.461488 135.941534 \nL 260.708173 137.487209 \nL 259.098022 139.174767 \nL 257.693746 140.938903 \nL 256.545949 142.716731 \nL 255.692763 144.448999 \nL 255.160391 146.080486 \nL 254.964145 147.55993 \nL 255.109629 148.839711 \nL 255.593806 149.875622 \nL 256.405716 150.626875 \nL 257.526762 151.056529 \nL 258.930476 151.132512 \nL 260.581915 150.82932 \nL 262.436686 150.130487 \nL 264.439954 149.031758 \nL 266.525608 147.544842 \nL 268.616085 145.701268 \nL 270.623289 143.555796 \nL 272.451013 141.188382 \nL 273.999294 138.703738 \nL 275.170771 136.227392 \nL 275.878784 133.89788 \nL 276.037041 132.832279 \nL 276.056339 131.855315 \nL 275.932787 130.982476 \nL 275.664704 130.22764 \nL 275.252755 129.602663 \nL 274.700004 129.117083 \nL 274.011919 128.777869 \nL 273.196294 128.589329 \nL 272.263077 128.553026 \nL 271.224167 128.667899 \nL 270.09312 128.930372 \nL 267.615156 129.87288 \nL 264.957893 131.312507 \nL 262.254126 133.160821 \nL 259.630258 135.319629 \nL 257.198275 137.689766 \nL 255.050837 140.177064 \nL 253.259393 142.695483 \nL 251.874821 145.167923 \nL 250.9297 147.525525 \nL 250.441409 149.706092 \nL 250.415306 151.652259 \nL 250.574647 152.520409 \nL 250.847455 153.309786 \nL 251.232102 154.013886 \nL 251.726569 154.626278 \nL 252.328455 155.140595 \nL 253.034951 155.550533 \nL 253.842823 155.849895 \nL 254.74837 156.032641 \nL 255.747355 156.092932 \nL 256.834934 156.025255 \nL 258.005582 155.824511 \nL 259.252988 155.486157 \nL 260.569957 155.006406 \nL 261.948319 154.38239 \nL 264.850986 152.696169 \nL 267.87223 150.432471 \nL 270.902338 147.627735 \nL 273.810403 144.358489 \nL 276.447117 140.747775 \nL 277.613643 138.866069 \nL 278.651727 136.966714 \nL 279.541404 135.077587 \nL 280.26371 133.228269 \nL 280.801257 131.449301 \nL 281.138858 129.771342 \nL 281.264093 128.224195 \nL 281.167892 126.835804 \nL 280.845009 125.631291 \nL 280.294397 124.632048 \nL 279.519414 123.854994 \nL 278.52791 123.312025 \nL 277.332085 123.009735 \nL 275.948226 122.949367 \nL 274.396237 123.127024 \nL 272.69904 123.534128 \nL 270.881895 124.158059 \nL 268.971627 124.982912 \nL 266.99586 125.990323 \nL 264.982249 127.160287 \nL 260.948231 129.904298 \nL 257.067599 133.049404 \nL 253.505282 136.442559 \nL 250.386761 139.951447 \nL 247.798276 143.46624 \nL 245.791584 146.89717 \nL 245.014896 148.557538 \nL 244.391115 150.170074 \nL 243.920298 151.727127 \nL 243.601733 153.221412 \nL 243.434131 154.645876 \nL 243.415777 155.993598 \nL 243.544685 157.25768 \nL 243.818684 158.431141 \nL 244.235497 159.506843 \nL 244.792804 160.477441 \nL 245.488241 161.335295 \nL 246.319399 162.072464 \nL 247.283788 162.680652 \nL 248.378768 163.151238 \nL 249.60147 163.475262 \nL 250.948664 163.643482 \nL 252.41663 163.646477 \nL 254.000989 163.474743 \nL 255.696502 163.118867 \nL 257.496871 162.569762 \nL 259.394499 161.818952 \nL 261.380236 160.858914 \nL 263.443135 159.683529 \nL 265.57019 158.288586 \nL 267.74607 156.672357 \nL 269.952925 154.836246 \nL 272.170198 152.785486 \nL 274.374497 150.529847 \nL 276.539602 148.084314 \nL 278.636539 145.469677 \nL 280.633833 142.712995 \nL 282.49793 139.847858 \nL 284.193777 136.91426 \nL 285.685658 133.958197 \nL 286.938194 131.030777 \nL 287.917528 128.186871 \nL 288.592647 125.483341 \nL 288.936792 122.97687 \nL 288.928838 120.721546 \nL 288.554567 118.766359 \nL 287.807732 117.152836 \nL 286.690773 115.913058 \nL 285.215171 115.068114 \nL 283.401301 114.627448 \nL 281.27784 114.58878 \nL 278.88073 114.938937 \nL 276.251781 115.655215 \nL 273.436989 116.707353 \nL 270.48477 118.059646 \nL 267.444153 119.673143 \nL 264.363112 121.507757 \nL 261.287114 123.524018 \nL 258.257954 125.684468 \nL 255.312897 127.954642 \nL 252.484157 130.303674 \nL 249.798664 132.70454 \nL 247.278105 135.134015 \nL 244.939153 137.572459 \nL 242.793877 140.003475 \nL 240.850238 142.413463 \nL 239.112653 144.79119 \nL 237.582585 147.127365 \nL 236.259117 149.414209 \nL 235.139505 151.645136 \nL 234.219664 153.814402 \nL 233.494625 155.916858 \nL 232.958913 157.947731 \nL 232.606882 159.902407 \nL 232.432967 161.776293 \nL 232.431916 163.564656 \nL 232.598943 165.262502 \nL 232.929837 166.864469 \nL 233.421055 168.364711 \nL 234.06976 169.756795 \nL 234.873821 171.033606 \nL 235.831795 172.187231 \nL 236.942881 173.208897 \nL 238.206832 174.088833 \nL 239.623858 174.816225 \nL 241.194485 175.379107 \nL 242.919384 175.764324 \nL 244.799181 175.957486 \nL 246.83421 175.943002 \nL 249.02422 175.704101 \nL 251.368063 175.223005 \nL 253.863288 174.481113 \nL 256.505719 173.459388 \nL 259.288952 172.13882 \nL 262.203793 170.501112 \nL 265.237669 168.529552 \nL 268.373979 166.21015 \nL 271.591439 163.532992 \nL 274.863425 160.493857 \nL 278.157408 157.096072 \nL 281.43449 153.352487 \nL 284.649136 149.287526 \nL 287.749186 144.939063 \nL 290.676269 140.359988 \nL 293.36669 135.619034 \nL 295.752859 130.800726 \nL 297.765371 126.004007 \nL 299.33571 121.33935 \nL 300.399454 116.924316 \nL 300.899922 112.877617 \nL 300.791908 109.31214 \nL 300.045239 106.327484 \nL 298.647723 104.002993 \nL 296.60714 102.392074 \nL 293.951948 101.51869 \nL 290.730507 101.376561 \nL 287.008925 101.93112 \nL 282.867553 103.123958 \nL 278.396625 104.879049 \nL 273.691447 107.109712 \nL 268.847605 109.725541 \nL 263.95663 112.638375 \nL 259.102488 115.766862 \nL 254.358999 119.03952 \nL 249.788276 122.396169 \nL 245.440114 125.788184 \nL 241.352158 129.177791 \nL 237.550662 132.53678 \nL 234.05169 135.844983 \nL 230.862522 139.088674 \nL 227.983151 142.259071 \nL 225.407786 145.35106 \nL 223.126231 148.362139 \nL 221.125135 151.291541 \nL 219.38907 154.139634 \nL 217.901455 156.907438 \nL 216.645287 159.596305 \nL 215.603746 162.207683 \nL 214.760641 164.742977 \nL 214.100761 167.203444 \nL 213.610111 169.590166 \nL 213.276075 171.903969 \nL 213.087518 174.14544 \nL 213.03483 176.314867 \nL 213.10994 178.41226 \nL 213.306296 180.437286 \nL 213.618832 182.389265 \nL 214.043926 184.267125 \nL 214.579339 186.069342 \nL 215.224169 187.793891 \nL 215.978788 189.438168 \nL 216.844794 190.998906 \nL 217.824966 192.472062 \nL 218.923212 193.8527 \nL 220.144529 195.13486 \nL 221.49496 196.311376 \nL 222.981551 197.373701 \nL 224.612298 198.31169 \nL 226.396096 199.113359 \nL 228.342652 199.764606 \nL 230.462398 200.248931 \nL 232.766348 200.547102 \nL 235.265934 200.636824 \nL 237.972764 200.492397 \nL 240.898311 200.084396 \nL 244.053518 199.379397 \nL 247.448255 198.339794 \nL 251.090667 196.923755 \nL 254.986309 195.08544 \nL 259.137103 192.775543 \nL 263.540048 189.942325 \nL 268.185673 186.533291 \nL 273.056228 182.497696 \nL 278.123635 177.790099 \nL 283.347222 172.375083 \nL 288.6714 166.233296 \nL 294.023406 159.368722 \nL 299.311423 151.816913 \nL 304.423447 143.653495 \nL 309.227358 135.001902 \nL 313.572771 126.038735 \nL 317.29521 116.994794 \nL 320.222968 108.149716 \nL 322.186906 99.818538 \nL 323.032725 92.329718 \nL 322.63491 85.995867 \nL 320.910591 81.080855 \nL 317.83134 77.768678 \nL 313.430612 76.140688 \nL 307.805108 76.166439 \nL 301.109104 77.710744 \nL 293.542478 80.555552 \nL 285.334037 84.431513 \nL 276.723003 89.052379 \nL 267.941338 94.145346 \nL 259.19931 99.473044 \nL 250.675553 104.845469 \nL 234.812538 115.211298 \nL 221.050355 124.63187 \nL 215.036927 128.933886 \nL 209.597294 132.971064 \nL 204.707665 136.759937 \nL 200.333545 140.320503 \nL 196.433485 143.673442 \nL 192.962087 146.838359 \nL 189.872312 149.832844 \nL 184.651077 155.368442 \nL 180.414252 160.371155 \nL 170.688491 172.59185 \nL 167.689709 175.747407 \nL 166.138244 177.138988 \nL 164.52923 178.398142 \nL 162.847267 179.516988 \nL 161.078157 180.486217 \nL 159.208786 181.294961 \nL 157.227052 181.930721 \nL 155.121853 182.37925 \nL 152.883133 182.624456 \nL 150.501957 182.648335 \nL 147.970695 182.430971 \nL 145.283265 181.950574 \nL 142.435451 181.183612 \nL 139.425342 180.105119 \nL 136.253837 178.689148 \nL 132.925277 176.909456 \nL 129.448181 174.740463 \nL 125.836054 172.158588 \nL 122.108314 169.143927 \nL 118.29122 165.682379 \nL 114.418819 161.768192 \nL 110.533808 157.406914 \nL 106.688204 152.618535 \nL 102.943692 147.440735 \nL 99.371487 141.931806 \nL 96.051594 136.172853 \nL 93.07119 130.2687 \nL 90.522078 124.346923 \nL 88.497131 118.554519 \nL 87.085724 113.051844 \nL 86.368415 108.00391 \nL 86.411166 103.569509 \nL 87.25976 99.889202 \nL 88.934944 97.073804 \nL 91.429066 95.194949 \nL 94.70476 94.27934 \nL 98.695996 94.307779 \nL 103.311571 95.219082 \nL 108.440602 96.918145 \nL 113.959472 99.286886 \nL 119.739297 102.195959 \nL 125.653183 105.515744 \nL 131.582417 109.125233 \nL 137.42127 112.918072 \nL 143.080103 116.805793 \nL 148.486856 120.718568 \nL 153.587157 124.604154 \nL 158.343328 128.425679 \nL 162.732701 132.158898 \nL 166.745475 135.789423 \nL 170.382453 139.310122 \nL 173.652795 142.718969 \nL 176.571949 146.017293 \nL 179.15981 149.208462 \nL 181.439163 152.296945 \nL 183.434388 155.287634 \nL 185.170435 158.185474 \nL 186.672024 160.995171 \nL 187.963057 163.72109 \nL 189.066192 166.367205 \nL 190.002562 168.937081 \nL 191.451019 173.860561 \nL 192.442706 178.513406 \nL 193.084271 182.913548 \nL 193.457256 187.076158 \nL 193.621626 191.014466 \nL 193.564936 196.526799 \nL 193.213338 201.595594 \nL 192.595379 206.250316 \nL 192.030268 209.135251 \nL 191.328562 211.85172 \nL 190.470517 214.402747 \nL 189.429316 216.788683 \nL 188.170404 219.006215 \nL 186.650429 221.046934 \nL 184.815812 222.895214 \nL 183.760541 223.739601 \nL 182.600965 224.525126 \nL 181.326663 225.2462 \nL 179.926189 225.895915 \nL 178.386998 226.465796 \nL 176.695371 226.945477 \nL 174.836352 227.322325 \nL 172.793697 227.581004 \nL 170.549837 227.702955 \nL 168.085881 227.665784 \nL 165.381653 227.442573 \nL 162.415804 227.001086 \nL 159.166005 226.302889 \nL 155.609265 225.302402 \nL 151.722415 223.945927 \nL 147.482799 222.170698 \nL 142.869264 219.90409 \nL 137.863507 217.063137 \nL 132.451871 213.554633 \nL 126.627725 209.276138 \nL 120.394474 204.118395 \nL 113.769368 197.969767 \nL 106.78809 190.723379 \nL 99.510135 182.287804 \nL 92.024788 172.601883 \nL 84.457267 161.653992 \nL 76.974369 149.505204 \nL 69.788399 136.314403 \nL 63.157901 122.3615 \nL 57.383141 108.062508 \nL 52.7945 93.968447 \nL 49.732106 80.739548 \nL 48.51655 69.089318 \nL 49.412832 59.699687 \nL 52.592181 53.119464 \nL 58.099199 49.668511 \nL 65.832763 49.375403 \nL 75.547061 51.970366 \nL 86.874927 56.93887 \nL 99.369379 63.620461 \nL 112.554275 71.322789 \nL 139.226594 87.412697 \nL 151.995761 94.954295 \nL 164.048502 101.837446 \nL 175.235244 107.968902 \nL 185.477011 113.33651 \nL 194.750553 117.979144 \nL 203.073505 121.963187 \nL 217.066703 128.265381 \nL 227.981033 132.836117 \nL 236.409648 136.154455 \nL 245.573561 139.506381 \nL 251.856205 141.523527 \nL 254.97782 142.333863 \nL 257.508813 142.805394 \nL 259.606596 142.990267 \nL 261.381556 142.929371 \nL 262.907324 142.658193 \nL 264.229264 142.21066 \nL 265.371586 141.621585 \nL 266.343254 140.927977 \nL 267.476318 139.778666 \nL 268.196205 138.624768 \nL 268.432419 137.923186 \nL 268.468209 137.321696 \nL 268.305364 136.854284 \nL 267.952947 136.54796 \nL 267.42785 136.421191 \nL 266.754589 136.482972 \nL 265.964358 136.732604 \nL 264.640151 137.435326 \nL 263.269531 138.470275 \nL 261.987627 139.741683 \nL 260.916619 141.136677 \nL 260.155411 142.536317 \nL 259.773611 143.824089 \nL 259.749881 144.566628 \nL 259.91558 145.182262 \nL 260.267812 145.645266 \nL 260.797618 145.933719 \nL 261.490056 146.030227 \nL 262.324326 145.92281 \nL 263.273891 145.605857 \nL 264.306705 145.081209 \nL 265.929417 143.929899 \nL 267.511494 142.411369 \nL 268.896597 140.649565 \nL 269.633416 139.421344 \nL 270.171706 138.216601 \nL 270.47677 137.095483 \nL 270.523805 136.116647 \nL 270.300345 135.333074 \nL 269.807983 134.787994 \nL 269.063013 134.511676 \nL 268.095834 134.519394 \nL 266.949151 134.810859 \nL 265.675119 135.371129 \nL 264.331857 136.172649 \nL 262.979693 137.178001 \nL 261.677642 138.342978 \nL 260.480391 139.619407 \nL 259.436036 140.957607 \nL 258.584632 142.308223 \nL 257.95747 143.623482 \nL 257.576936 144.858 \nL 257.456774 145.96923 \nL 257.602516 146.917771 \nL 258.011966 147.667663 \nL 258.675544 148.186805 \nL 259.576436 148.447653 \nL 260.690581 148.428242 \nL 261.986437 148.113596 \nL 263.42474 147.497503 \nL 264.958348 146.584583 \nL 266.532349 145.392417 \nL 268.084771 143.953471 \nL 269.547997 142.316316 \nL 270.851269 140.545721 \nL 271.924202 138.72103 \nL 272.701323 136.932565 \nL 273.1273 135.275923 \nL 273.162301 133.844677 \nL 273.026163 133.240285 \nL 272.786703 132.722334 \nL 272.445182 132.29844 \nL 272.004396 131.974723 \nL 271.468699 131.755692 \nL 270.843906 131.644181 \nL 269.357014 131.746578 \nL 267.614944 132.271473 \nL 265.702674 133.185219 \nL 263.712204 134.436093 \nL 261.735793 135.960255 \nL 259.860098 137.687579 \nL 258.161753 139.54636 \nL 256.704642 141.466734 \nL 255.538772 143.38264 \nL 254.700467 145.232631 \nL 254.213401 146.95992 \nL 254.090054 148.511909 \nL 254.333199 149.839686 \nL 254.937098 150.897551 \nL 255.370407 151.311846 \nL 255.888251 151.642975 \nL 256.48776 151.886199 \nL 257.917756 152.091478 \nL 259.62694 151.896691 \nL 261.572297 151.278956 \nL 263.699898 150.226885 \nL 265.943597 148.744735 \nL 268.224245 146.857004 \nL 270.449958 144.612963 \nL 272.517945 142.089933 \nL 274.318477 139.394291 \nL 275.74125 136.658723 \nL 276.684074 134.034895 \nL 276.948298 132.814587 \nL 277.063114 131.681411 \nL 277.022638 130.653721 \nL 276.823359 129.748272 \nL 276.464345 128.979762 \nL 275.947376 128.360375 \nL 275.276989 127.89949 \nL 274.460431 127.603438 \nL 273.50753 127.475401 \nL 272.430494 127.515465 \nL 271.243578 127.720736 \nL 269.962752 128.085597 \nL 268.605295 128.602059 \nL 265.733565 130.048179 \nL 262.776486 131.962648 \nL 259.876757 134.236668 \nL 257.161688 136.759988 \nL 254.736962 139.428373 \nL 252.684065 142.147526 \nL 251.060864 144.834122 \nL 249.904275 147.414874 \nL 249.234009 149.824513 \nL 249.083679 150.946397 \nL 249.056507 152.003488 \nL 249.15179 152.988868 \nL 249.36838 153.895712 \nL 249.704738 154.717246 \nL 250.158975 155.44674 \nL 250.728855 156.077445 \nL 251.411807 156.60262 \nL 252.204896 157.015536 \nL 253.104783 157.309504 \nL 254.107665 157.477919 \nL 255.209204 157.514349 \nL 256.404434 157.412616 \nL 257.687653 157.166958 \nL 259.052314 156.772167 \nL 260.490893 156.223786 \nL 261.994778 155.518349 \nL 263.554107 154.653662 \nL 265.157695 153.629069 \nL 266.792888 152.445796 \nL 268.445506 151.107307 \nL 270.099785 149.619616 \nL 271.738375 147.991644 \nL 273.342388 146.235507 \nL 274.891541 144.366761 \nL 276.36433 142.404528 \nL 277.738347 140.371545 \nL 278.990655 138.293996 \nL 280.098257 136.201224 \nL 281.038684 134.125216 \nL 281.790638 132.099875 \nL 282.334684 130.160133 \nL 282.653981 128.34088 \nL 282.735009 126.675788 \nL 282.568206 125.196114 \nL 282.14853 123.929497 \nL 281.475876 122.89893 \nL 280.5553 122.121901 \nL 279.397046 121.609831 \nL 278.016349 121.367806 \nL 276.433043 121.394672 \nL 274.670925 121.683388 \nL 272.757025 122.221729 \nL 270.720726 122.993124 \nL 268.592844 123.977644 \nL 266.404696 125.153037 \nL 264.187226 126.495706 \nL 261.970225 127.981626 \nL 257.647257 131.289327 \nL 253.629804 134.900024 \nL 250.066562 138.662594 \nL 247.05993 142.453841 \nL 245.785844 144.328748 \nL 244.671054 146.175752 \nL 243.718142 147.985636 \nL 242.928233 149.750019 \nL 242.301279 151.461182 \nL 241.83632 153.111893 \nL 241.531734 154.695232 \nL 241.385427 156.204486 \nL 241.395026 157.633 \nL 241.558011 158.974042 \nL 241.871826 160.220755 \nL 242.333956 161.366015 \nL 242.941962 162.402394 \nL 243.69351 163.322079 \nL 244.586337 164.116816 \nL 245.618223 164.777883 \nL 246.786898 165.296073 \nL 248.089957 165.6617 \nL 249.524715 165.864622 \nL 251.088059 165.89433 \nL 252.776255 165.74004 \nL 254.584726 165.390871 \nL 256.50782 164.836064 \nL 258.53853 164.065282 \nL 260.668213 163.068975 \nL 262.886275 161.83889 \nL 265.179852 160.368594 \nL 267.533514 158.654171 \nL 269.928948 156.694967 \nL 272.34472 154.494412 \nL 274.756085 152.060911 \nL 277.134884 149.408721 \nL 279.449609 146.558756 \nL 281.665563 143.539253 \nL 283.745302 140.386198 \nL 285.649246 137.143418 \nL 287.33657 133.862207 \nL 288.766365 130.600433 \nL 289.898989 127.421016 \nL 290.697682 124.389871 \nL 291.130248 121.573307 \nL 291.170762 119.035035 \nL 290.801208 116.833041 \nL 290.012827 115.016562 \nL 288.807084 113.623525 \nL 287.196155 112.678609 \nL 285.202835 112.19228 \nL 282.859841 112.160811 \nL 280.208539 112.567251 \nL 277.297235 113.383331 \nL 274.179123 114.571897 \nL 270.910072 116.089669 \nL 267.546427 117.890099 \nL 264.143004 119.925864 \nL 260.751318 122.151081 \nL 257.418262 124.522903 \nL 254.185121 127.002619 \nL 251.087039 129.556217 \nL 248.152821 132.154558 \nL 245.405071 134.773204 \nL 242.860558 137.39202 \nL 240.530759 139.994659 \nL 238.422512 142.568007 \nL 236.538723 145.10159 \nL 234.879072 147.587042 \nL 233.440713 150.017632 \nL 232.218909 152.387854 \nL 231.207603 154.693062 \nL 230.399932 156.929205 \nL 229.78864 159.092557 \nL 229.366451 161.179559 \nL 229.126351 163.18663 \nL 229.061815 165.110034 \nL 229.166978 166.945762 \nL 229.436764 168.689424 \nL 229.866965 170.336152 \nL 230.454273 171.880474 \nL 231.196316 173.316238 \nL 232.09162 174.636475 \nL 233.139572 175.833321 \nL 234.340368 176.897892 \nL 235.694906 177.820164 \nL 237.204671 178.58887 \nL 238.871609 179.191373 \nL 240.697933 179.613599 \nL 242.685934 179.83994 \nL 244.837716 179.853215 \nL 247.154906 179.634695 \nL 249.638303 179.164142 \nL 252.287463 178.420038 \nL 255.100223 177.37983 \nL 258.072134 176.020449 \nL 261.195842 174.318935 \nL 264.460367 172.253386 \nL 267.850354 169.804168 \nL 271.345223 166.955446 \nL 274.918369 163.697076 \nL 278.53632 160.026828 \nL 282.158069 155.952871 \nL 285.734559 151.496446 \nL 289.208455 146.694477 \nL 292.514381 141.601893 \nL 295.579695 136.293248 \nL 298.326008 130.863238 \nL 300.671435 125.425603 \nL 302.533743 120.110125 \nL 303.834269 115.057426 \nL 304.50242 110.41166 \nL 304.480498 106.311486 \nL 303.728408 102.880309 \nL 302.227647 100.216758 \nL 299.984123 98.386884 \nL 297.029341 97.419264 \nL 293.419587 97.303753 \nL 289.233235 97.994196 \nL 284.566266 99.414515 \nL 279.526626 101.46724 \nL 274.227986 104.043022 \nL 268.7836 107.029772 \nL 263.30087 110.320368 \nL 257.877007 113.818295 \nL 252.596038 117.441008 \nL 247.527141 121.121238 \nL 242.724189 124.806701 \nL 238.226274 128.458671 \nL 234.05892 132.049949 \nL 230.235765 135.562657 \nL 226.760437 138.986073 \nL 223.628468 142.314742 \nL 220.829133 145.546885 \nL 218.347113 148.683142 \nL 216.163939 151.725647 \nL 214.259229 154.677362 \nL 212.611687 157.541605 \nL 211.199901 160.32174 \nL 210.002956 163.021023 \nL 209.000891 165.642477 \nL 208.175013 168.188858 \nL 207.508119 170.662652 \nL 206.984614 173.06607 \nL 206.313727 177.669398 \nL 206.070781 182.011818 \nL 206.189421 186.103083 \nL 206.626141 189.949907 \nL 207.35767 193.555729 \nL 208.378621 196.920172 \nL 209.699673 200.037937 \nL 211.346388 202.897177 \nL 212.30378 204.223792 \nL 213.358659 205.477121 \nL 214.518253 206.652616 \nL 215.790705 207.744686 \nL 217.185093 208.746503 \nL 218.71145 209.649773 \nL 220.380779 210.444497 \nL 222.20505 211.118669 \nL 224.197203 211.657933 \nL 226.371105 212.045192 \nL 228.741498 212.260172 \nL 231.323883 212.278936 \nL 234.134356 212.073355 \nL 237.189361 211.610542 \nL 240.505334 210.852307 \nL 244.098213 209.754646 \nL 247.982773 208.267305 \nL 252.171737 206.333579 \nL 256.67463 203.890429 \nL 261.496304 200.869087 \nL 266.635079 197.19644 \nL 272.080488 192.797434 \nL 277.810541 187.598883 \nL 283.788584 181.535037 \nL 289.959764 174.555216 \nL 296.247352 166.633822 \nL 302.549189 157.782506 \nL 308.734745 148.063968 \nL 314.643544 137.606064 \nL 320.085783 126.61388 \nL 324.846193 115.376522 \nL 328.692161 104.264632 \nL 331.386647 93.714687 \nL 332.705902 84.197939 \nL 332.460892 76.174506 \nL 330.519831 70.038217 \nL 326.828412 66.062079 \nL 321.423343 64.357043 \nL 314.435734 64.855387 \nL 306.082517 67.324356 \nL 296.646706 71.407171 \nL 286.449979 76.680492 \nL 275.822718 82.713951 \nL 265.076751 89.118925 \nL 234.58964 107.816782 \nL 196.687207 131.192487 \nL 186.320812 137.900857 \nL 178.130798 143.525944 \nL 171.637366 148.295321 \nL 156.35461 159.907573 \nL 154.593697 160.986755 \nL 152.852916 161.918226 \nL 151.112286 162.697399 \nL 149.354725 163.318624 \nL 147.565862 163.775305 \nL 145.733893 164.060082 \nL 143.849474 164.164939 \nL 141.90566 164.081425 \nL 139.897903 163.800826 \nL 137.824059 163.314446 \nL 135.684481 162.613936 \nL 133.482115 161.691664 \nL 131.222637 160.541179 \nL 128.91463 159.157784 \nL 126.569741 157.539129 \nL 124.202824 155.685939 \nL 121.832117 153.602766 \nL 119.479274 151.298783 \nL 117.169394 148.788551 \nL 114.930897 146.092731 \nL 112.795266 143.238673 \nL 110.796622 140.260714 \nL 108.971067 137.200254 \nL 107.355839 134.105329 \nL 105.988252 131.029798 \nL 104.904377 128.031969 \nL 104.137644 125.172703 \nL 103.717271 122.513101 \nL 103.66671 120.111869 \nL 104.002241 118.022544 \nL 104.731713 116.290804 \nL 105.853691 114.952229 \nL 107.357007 114.030527 \nL 109.220854 113.536658 \nL 111.415349 113.468768 \nL 113.902647 113.812968 \nL 116.638458 114.544921 \nL 119.573837 115.631949 \nL 122.657159 117.035436 \nL 125.836099 118.713275 \nL 129.059458 120.622221 \nL 132.27876 122.719827 \nL 135.449552 124.966011 \nL 138.532317 127.32409 \nL 141.493041 129.761445 \nL 144.303446 132.249722 \nL 146.940948 134.764805 \nL 149.388373 137.286491 \nL 151.633501 139.79811 \nL 153.668511 142.28603 \nL 155.489349 144.739154 \nL 157.095095 147.148427 \nL 158.487329 149.506429 \nL 159.669537 151.80694 \nL 160.646573 154.044657 \nL 161.42419 156.214868 \nL 162.008617 158.313239 \nL 162.40622 160.335619 \nL 162.623215 162.277863 \nL 162.665454 164.135699 \nL 162.538237 165.904592 \nL 162.246203 167.579632 \nL 161.793233 169.15544 \nL 161.182418 170.626043 \nL 160.416038 171.984786 \nL 159.49558 173.224223 \nL 158.421785 174.336006 \nL 157.194719 175.3108 \nL 155.813867 176.138172 \nL 154.27826 176.806489 \nL 152.586626 177.302843 \nL 150.73758 177.612978 \nL 148.729852 177.721273 \nL 146.562552 177.61074 \nL 144.235479 177.263085 \nL 141.749492 176.658872 \nL 139.106944 175.777786 \nL 136.312167 174.599032 \nL 133.372034 173.101896 \nL 130.296571 171.266551 \nL 127.099637 169.075058 \nL 123.799649 166.512678 \nL 120.420315 163.569481 \nL 116.991331 160.242199 \nL 113.549024 156.536364 \nL 110.136835 152.468585 \nL 106.805553 148.068844 \nL 103.613207 143.382538 \nL 100.624508 138.472113 \nL 97.909686 133.417746 \nL 95.542694 128.316865 \nL 93.598668 123.282088 \nL 92.150735 118.437374 \nL 91.266184 113.912344 \nL 91.002339 109.835009 \nL 91.402368 106.323535 \nL 92.491506 103.477877 \nL 94.27412 101.372289 \nL 96.732043 100.049865 \nL 99.824481 99.519933 \nL 103.489595 99.758681 \nL 107.647695 100.712907 \nL 112.205686 102.306279 \nL 117.062312 104.44708 \nL 122.113599 107.036307 \nL 127.258031 109.975045 \nL 132.400923 113.170435 \nL 137.457765 116.539831 \nL 142.356425 120.013072 \nL 147.038237 123.533158 \nL 151.458096 127.055763 \nL 155.583795 130.547852 \nL 159.394845 133.985981 \nL 162.880941 137.354416 \nL 166.040295 140.643361 \nL 168.87796 143.847414 \nL 171.404248 146.96426 \nL 173.633299 149.993677 \nL 175.581827 152.936746 \nL 177.268072 155.795306 \nL 178.710931 158.571559 \nL 179.929277 161.267796 \nL 180.941422 163.886272 \nL 181.764727 166.429053 \nL 182.415318 168.898022 \nL 182.907901 171.294811 \nL 183.255648 173.620809 \nL 183.470142 175.877154 \nL 183.561369 178.064733 \nL 183.406102 182.235861 \nL 182.838992 186.135965 \nL 181.886521 189.76192 \nL 181.268352 191.469501 \nL 180.554516 193.104536 \nL 179.742809 194.664623 \nL 178.829933 196.146705 \nL 177.811534 197.546967 \nL 176.682221 198.860706 \nL 175.435598 200.082187 \nL 174.064274 201.204459 \nL 172.559883 202.219163 \nL 170.913113 203.11631 \nL 169.113734 203.884004 \nL 167.150642 204.508152 \nL 165.011932 204.972121 \nL 162.684999 205.256388 \nL 160.156682 205.338115 \nL 157.413471 205.190761 \nL 154.441775 204.783653 \nL 151.228323 204.081582 \nL 147.760649 203.044506 \nL 144.027772 201.627335 \nL 140.021037 199.779974 \nL 135.735212 197.447684 \nL 131.169839 194.571931 \nL 126.330873 191.091913 \nL 121.232695 186.947024 \nL 115.900404 182.08044 \nL 110.37242 176.444172 \nL 104.703293 170.005652 \nL 98.966514 162.756031 \nL 93.257063 154.719902 \nL 87.693266 145.965801 \nL 82.417428 136.616412 \nL 77.594514 126.856559 \nL 73.4082 116.936587 \nL 70.053677 107.168378 \nL 67.726812 97.911515 \nL 66.609937 89.548409 \nL 66.85525 82.449418 \nL 68.567649 76.931988 \nL 71.789681 73.220859 \nL 76.49147 71.417825 \nL 82.568125 71.488609 \nL 89.845852 73.270777 \nL 98.096287 76.501057 \nL 107.05672 80.855553 \nL 116.452813 85.993246 \nL 126.020016 91.593867 \nL 135.520848 97.384374 \nL 153.571502 108.74616 \nL 169.53831 119.077116 \nL 182.988785 128.082627 \nL 193.945478 135.839179 \nL 198.571438 139.311398 \nL 202.691672 142.548665 \nL 209.6236 148.412312 \nL 215.158075 153.584989 \nL 219.683266 158.168812 \nL 227.004376 165.762234 \nL 230.315883 168.786826 \nL 231.973471 170.096757 \nL 233.659392 171.2645 \nL 235.391278 172.282957 \nL 237.184812 173.143696 \nL 239.053868 173.836963 \nL 241.010606 174.351664 \nL 243.065517 174.675364 \nL 245.227414 174.794329 \nL 247.503358 174.693583 \nL 249.898535 174.357059 \nL 252.41605 173.767763 \nL 255.056657 172.908122 \nL 257.818431 171.760385 \nL 260.696352 170.307253 \nL 263.681851 168.532616 \nL 266.762277 166.42256 \nL 269.920357 163.966612 \nL 273.133631 161.159136 \nL 276.373937 158.001035 \nL 279.606979 154.501594 \nL 282.792037 150.68035 \nL 285.881927 146.568959 \nL 288.823265 142.212762 \nL 291.557173 137.67187 \nL 294.020426 133.021415 \nL 296.147239 128.350793 \nL 297.871566 123.761507 \nL 299.129971 119.363603 \nL 299.864932 115.270679 \nL 300.02836 111.593674 \nL 299.585027 108.434059 \nL 298.515664 105.877015 \nL 296.819226 103.985497 \nL 294.514131 102.795995 \nL 291.638186 102.316542 \nL 288.24713 102.527361 \nL 284.411898 103.383929 \nL 280.214885 104.822017 \nL 275.745572 106.763946 \nL 271.09596 109.125148 \nL 266.356243 111.820219 \nL 261.611082 114.767926 \nL 256.936704 117.89483 \nL 252.398928 121.137389 \nL 248.052109 124.442861 \nL 243.938914 127.769088 \nL 240.090735 131.083605 \nL 236.528615 134.362365 \nL 233.264458 137.588253 \nL 230.30242 140.749656 \nL 227.640315 143.839151 \nL 225.271005 146.8524 \nL 223.183648 149.787206 \nL 221.364833 152.642847 \nL 219.799529 155.4195 \nL 218.4719 158.117865 \nL 217.365955 160.738885 \nL 216.466059 163.283564 \nL 215.757334 165.752848 \nL 215.225943 168.147501 \nL 214.859301 170.468095 \nL 214.646204 172.714952 \nL 214.576914 174.888098 \nL 214.643186 176.987261 \nL 214.838278 179.01181 \nL 215.156928 180.960743 \nL 215.595321 182.832621 \nL 216.151043 184.625528 \nL 216.823028 186.336981 \nL 217.611513 187.963881 \nL 218.517974 189.502391 \nL 219.545086 190.947831 \nL 220.696661 192.294558 \nL 221.977605 193.535807 \nL 223.39386 194.663516 \nL 224.952347 195.668141 \nL 226.660902 196.538423 \nL 228.52819 197.261152 \nL 230.563607 197.820898 \nL 232.77715 198.199711 \nL 235.179242 198.376836 \nL 237.780507 198.328391 \nL 240.591492 198.027084 \nL 243.622278 197.441965 \nL 246.882003 196.53827 \nL 250.378249 195.277367 \nL 254.116267 193.616956 \nL 258.098029 191.511526 \nL 262.321073 188.913256 \nL 266.777094 185.773469 \nL 271.450349 182.044819 \nL 276.315786 177.684358 \nL 281.337023 172.657664 \nL 286.464212 166.944077 \nL 291.632006 160.543094 \nL 296.757762 153.481622 \nL 301.740358 145.821646 \nL 306.460049 137.667411 \nL 310.779764 129.170821 \nL 314.54842 120.533405 \nL 317.606553 112.003075 \nL 319.794557 103.86408 \nL 320.963267 96.419409 \nL 320.986318 89.966252 \nL 319.772856 84.767119 \nL 317.279029 81.020981 \nL 313.516166 78.839759 \nL 308.553991 78.235486 \nL 302.517728 79.121175 \nL 295.579262 81.325577 \nL 287.943407 84.618437 \nL 279.831538 88.740754 \nL 271.465006 93.433919 \nL 263.050628 98.462876 \nL 254.769757 103.630915 \nL 246.77165 108.785883 \nL 232.047993 118.661987 \nL 225.452755 123.274701 \nL 219.408383 127.642004 \nL 213.916578 131.764117 \nL 208.962384 135.651158 \nL 204.518632 139.31864 \nL 200.549764 142.784256 \nL 197.014983 146.065806 \nL 193.87074 149.179903 \nL 191.072636 152.141303 \nL 186.340957 157.654376 \nL 182.491041 162.680814 \nL 172.163456 176.897441 \nL 169.291562 179.987447 \nL 167.77374 181.352589 \nL 166.181102 182.588767 \nL 164.499653 183.68747 \nL 162.716194 184.638684 \nL 160.818225 185.430715 \nL 158.793914 186.050051 \nL 156.632108 186.48122 \nL 154.322387 186.706616 \nL 151.855194 186.706412 \nL 149.222033 186.458457 \nL 146.415749 185.938267 \nL 143.430909 185.119107 \nL 140.264284 183.972239 \nL 136.915433 182.467316 \nL 133.387442 180.57311 \nL 129.687777 178.258464 \nL 125.829252 175.493758 \nL 121.831131 172.252782 \nL 117.720302 168.515171 \nL 113.532486 164.269412 \nL 109.31337 159.516391 \nL 105.119564 154.273338 \nL 101.019237 148.577996 \nL 97.092188 142.492492 \nL 93.429189 136.106528 \nL 90.130284 129.538959 \nL 87.301942 122.937164 \nL 85.052837 116.473286 \nL 83.488367 110.336979 \nL 82.704089 104.724445 \nL 82.77852 99.824614 \nL 83.766058 95.803715 \nL 85.690877 92.79033 \nL 88.542672 90.863378 \nL 92.275113 90.045256 \nL 96.807422 90.301296 \nL 102.029045 91.545907 \nL 107.806907 93.654098 \nL 113.994337 96.476168 \nL 120.440508 99.853121 \nL 126.999266 103.630268 \nL 133.536467 107.667641 \nL 139.935274 111.846412 \nL 146.099277 116.071543 \nL 151.953601 120.271477 \nL 157.444374 124.39576 \nL 162.53699 128.411544 \nL 167.213672 132.299827 \nL 171.470673 136.051828 \nL 175.315445 139.665887 \nL 178.763978 143.144948 \nL 181.838411 146.494678 \nL 184.565 149.722099 \nL 186.972434 152.834664 \nL 189.090487 155.839684 \nL 190.948982 158.743983 \nL 192.577022 161.553748 \nL 194.002442 164.274467 \nL 196.348377 169.467414 \nL 198.173708 174.354327 \nL 199.63449 178.959084 \nL 201.413899 185.376023 \nL 203.508949 193.082832 \nL 204.599602 196.590983 \nL 205.79784 199.874219 \nL 207.15793 202.931595 \nL 208.734583 205.75689 \nL 210.586118 208.336795 \nL 211.634887 209.527995 \nL 212.777328 210.648249 \nL 214.02299 211.692529 \nL 215.382143 212.654648 \nL 216.865851 213.527032 \nL 218.486034 214.300491 \nL 220.255517 214.963902 \nL 222.188067 215.503889 \nL 224.298404 215.904411 \nL 226.602192 216.14632 \nL 229.115974 216.206845 \nL 231.857078 216.059023 \nL 234.843411 215.671083 \nL 238.093195 215.005795 \nL 241.624545 214.019832 \nL 245.454897 212.66317 \nL 249.600223 210.878641 \nL 254.073979 208.601714 \nL 258.885727 205.76074 \nL 264.039364 202.277816 \nL 269.530914 198.070628 \nL 275.345794 193.055631 \nL 281.455562 187.152992 \nL 287.814184 180.293753 \nL 294.353888 172.429588 \nL 300.980935 163.545348 \nL 307.571692 153.674086 \nL 313.969721 142.913526 \nL 319.984775 131.441974 \nL 325.394872 119.530359 \nL 329.952697 107.545919 \nL 333.397347 95.942576 \nL 335.471892 85.233909 \nL 335.946094 75.947297 \nL 334.642277 68.563044 \nL 331.460471 63.448173 \nL 326.398038 60.799378 \nL 319.55892 60.610633 \nL 311.149318 62.675817 \nL 301.459368 66.626902 \nL 290.833904 71.997642 \nL 279.638113 78.295292 \nL 268.22448 85.063409 \nL 225.78973 110.718588 \nL 201.235739 125.129168 \nL 183.418906 135.601802 \nL 174.610003 140.98557 \nL 164.735951 147.350609 \nL 155.477202 153.427977 \nL 151.746073 155.582555 \nL 148.283452 157.164694 \nL 146.597205 157.736605 \nL 144.918048 158.158065 \nL 143.232563 158.424988 \nL 141.530157 158.532866 \nL 139.802911 158.476957 \nL 138.045479 158.252548 \nL 136.255013 157.855171 \nL 134.431118 157.280902 \nL 132.575847 156.52668 \nL 130.69368 155.590622 \nL 128.791564 154.472448 \nL 126.8789 153.173869 \nL 124.96757 151.699045 \nL 123.071891 150.055023 \nL 121.20856 148.252151 \nL 119.396532 146.304495 \nL 117.65682 144.230129 \nL 116.012209 142.05135 \nL 114.486866 139.794707 \nL 113.105835 137.490843 \nL 111.894427 135.174121 \nL 110.877491 132.881993 \nL 110.078601 130.65407 \nL 109.519177 128.531012 \nL 109.217594 126.553171 \nL 109.188279 124.759149 \nL 109.440925 123.184252 \nL 109.979837 121.85908 \nL 110.803454 120.808286 \nL 111.904118 120.049629 \nL 113.268118 119.593382 \nL 114.875999 119.442182 \nL 116.703146 119.591289 \nL 118.720587 120.029249 \nL 120.895981 120.738855 \nL 123.19473 121.698331 \nL 125.58108 122.882609 \nL 128.019266 124.264625 \nL 130.474482 125.816496 \nL 132.913789 127.510538 \nL 135.306801 129.32009 \nL 137.626186 131.220126 \nL 139.848009 133.187635 \nL 141.951858 135.20182 \nL 143.920853 137.244155 \nL 145.741509 139.298302 \nL 147.403488 141.349947 \nL 148.899313 143.386589 \nL 150.224009 145.397302 \nL 151.374736 147.37247 \nL 152.350434 149.303566 \nL 153.151444 151.18289 \nL 153.779198 153.003377 \nL 154.235911 154.758399 \nL 154.524312 156.4416 \nL 154.647435 158.046732 \nL 154.608419 159.567534 \nL 154.410372 160.997605 \nL 154.05626 162.330291 \nL 153.54883 163.558606 \nL 152.890579 164.675129 \nL 152.083742 165.671946 \nL 151.13031 166.540556 \nL 150.032096 167.271845 \nL 148.790813 167.856044 \nL 147.408186 168.28272 \nL 145.886103 168.540768 \nL 144.226782 168.618487 \nL 142.432983 168.50364 \nL 140.508251 168.183608 \nL 138.457181 167.645616 \nL 136.285741 166.877012 \nL 134.001593 165.865661 \nL 131.614469 164.600431 \nL 129.136558 163.071817 \nL 126.582889 161.272706 \nL 123.971729 159.199226 \nL 121.324945 156.851742 \nL 118.668282 154.235972 \nL 116.031591 151.364078 \nL 113.448888 148.255802 \nL 110.958246 144.939421 \nL 108.60146 141.45254 \nL 106.423419 137.842412 \nL 104.471166 134.165816 \nL 102.792646 130.488241 \nL 101.435098 126.882292 \nL 100.44317 123.425323 \nL 99.856828 120.196328 \nL 99.709202 117.272227 \nL 100.024457 114.723829 \nL 100.815977 112.61191 \nL 102.08499 110.983648 \nL 103.819781 109.870052 \nL 105.995668 109.284449 \nL 108.575762 109.222414 \nL 111.512452 109.663012 \nL 114.749543 110.571183 \nL 118.224812 111.90101 \nL 121.872805 113.599358 \nL 125.627592 115.609518 \nL 129.425312 117.874543 \nL 133.206335 120.339946 \nL 136.916892 122.955673 \nL 140.510215 125.677345 \nL 143.947115 128.466823 \nL 147.196137 131.292229 \nL 150.233293 134.127565 \nL 153.041538 136.95212 \nL 155.610027 139.749699 \nL 157.933263 142.507844 \nL 160.01022 145.217118 \nL 161.843445 147.870389 \nL 163.43823 150.462297 \nL 164.801859 152.988732 \nL 165.942928 155.446468 \nL 166.870774 157.832833 \nL 167.594991 160.145487 \nL 168.125032 162.382209 \nL 168.469897 164.540735 \nL 168.63789 166.618666 \nL 168.636438 168.61333 \nL 168.471967 170.521689 \nL 168.149815 172.34027 \nL 167.67419 174.065057 \nL 167.048151 175.691387 \nL 166.273622 177.213874 \nL 165.351423 178.626287 \nL 164.281319 179.921437 \nL 163.062094 181.091035 \nL 161.691629 182.125584 \nL 160.167017 183.0142 \nL 158.484691 183.744502 \nL 156.640562 184.302423 \nL 154.630226 184.672093 \nL 152.449179 184.8357 \nL 150.093079 184.773409 \nL 147.55809 184.463308 \nL 144.841262 183.881449 \nL 141.941007 183.001972 \nL 138.857661 181.797433 \nL 135.594141 180.239257 \nL 132.15671 178.298528 \nL 128.555843 175.947027 \nL 124.807213 173.158724 \nL 120.932734 169.911671 \nL 116.961668 166.190408 \nL 112.9317 161.988848 \nL 108.889941 157.313614 \nL 104.893678 152.187638 \nL 101.010775 146.653809 \nL 97.319515 140.778257 \nL 93.907652 134.652698 \nL 90.870568 128.395265 \nL 88.30827 122.149047 \nL 86.321236 116.077857 \nL 85.005158 110.358764 \nL 84.444832 105.171646 \nL 84.707691 100.68639 \nL 85.837616 97.049211 \nL 87.84981 94.3699 \nL 90.727522 92.712024 \nL 94.421254 92.087906 \nL 98.850735 92.459201 \nL 103.909582 93.743144 \nL 109.472089 95.823185 \nL 115.401376 98.562082 \nL 121.55777 101.815287 \nL 127.806611 105.442714 \nL 134.024663 109.317603 \nL 140.104685 113.331983 \nL 145.958137 117.39897 \nL 151.516103 121.452478 \nL 156.728775 125.44515 \nL 161.563904 129.345432 \nL 166.004626 133.134254 \nL 170.046943 136.801915 \nL 173.697178 140.345335 \nL 176.96958 143.76584 \nL 179.884134 147.067466 \nL 182.464714 150.255682 \nL 184.737514 153.336574 \nL 186.729808 156.316278 \nL 188.468971 159.20063 \nL 189.981749 161.995018 \nL 191.293735 164.704309 \nL 192.429008 167.332842 \nL 194.25697 172.36254 \nL 195.622214 177.109919 \nL 196.652291 181.595617 \nL 197.784389 187.869994 \nL 199.388909 198.947918 \nL 200.441125 205.359402 \nL 201.395747 209.704099 \nL 202.162288 212.390464 \nL 203.067444 214.912444 \nL 204.145091 217.270195 \nL 205.434774 219.460122 \nL 206.983475 221.473414 \nL 208.847553 223.293863 \nL 209.918559 224.123928 \nL 211.094891 224.894681 \nL 212.387221 225.600362 \nL 213.807242 226.233867 \nL 215.367746 226.786467 \nL 217.082704 227.247497 \nL 218.967324 227.603966 \nL 221.038111 227.840103 \nL 223.312894 227.936827 \nL 225.810829 227.871123 \nL 228.552344 227.615332 \nL 231.559031 227.136341 \nL 234.853431 226.394683 \nL 238.458697 225.343589 \nL 242.39809 223.927984 \nL 246.694246 222.083572 \nL 251.368135 219.736041 \nL 256.437665 216.800652 \nL 261.915797 213.182428 \nL 267.808081 208.777316 \nL 274.109522 203.474866 \nL 280.800635 197.162979 \nL 287.842741 189.735574 \nL 295.172424 181.103825 \nL 302.69551 171.21174 \nL 310.280842 160.056109 \nL 317.754786 147.710313 \nL 324.897588 134.349609 \nL 331.443274 120.273843 \nL 337.08502 105.920908 \nL 341.488023 91.862638 \nL 344.311307 78.774762 \nL 345.238298 67.376061 \nL 344.013901 58.339413 \nL 340.482597 52.18864 \nL 334.62009 49.205107 \nL 326.549933 49.371863 \nL 316.539177 52.375768 \nL 304.971731 57.669768 \nL 292.304509 64.577001 \nL 279.015989 72.405188 \nL 252.321217 88.505938 \nL 239.612052 95.973654 \nL 227.650525 102.756067 \nL 216.574919 108.774702 \nL 206.45476 114.0276 \nL 197.305974 118.559982 \nL 189.105634 122.441585 \nL 175.338483 128.566591 \nL 164.615391 132.994933 \nL 156.342391 136.198927 \nL 147.356703 139.418204 \nL 141.20702 141.337931 \nL 138.15962 142.100051 \nL 135.697189 142.536326 \nL 133.665937 142.699167 \nL 131.957878 142.629915 \nL 130.50068 142.364421 \nL 129.249236 141.936707 \nL 128.17869 141.38122 \nL 127.278671 140.733981 \nL 126.248215 139.674345 \nL 125.617265 138.626402 \nL 125.404056 137.720018 \nL 125.495389 137.251763 \nL 125.766218 136.92465 \nL 126.202651 136.758218 \nL 126.783874 136.763588 \nL 127.482757 136.943048 \nL 128.680145 137.522678 \nL 129.947133 138.424833 \nL 131.157964 139.566434 \nL 132.19598 140.845577 \nL 132.963895 142.152011 \nL 133.390475 143.375705 \nL 133.463264 144.094059 \nL 133.360091 144.701507 \nL 133.081889 145.17302 \nL 132.635416 145.487062 \nL 132.033136 145.626264 \nL 131.29311 145.578218 \nL 130.438843 145.336355 \nL 129.499045 144.900838 \nL 128.003585 143.903902 \nL 126.522304 142.553396 \nL 125.198484 140.956654 \nL 124.175929 139.261829 \nL 123.725741 138.163875 \nL 123.496457 137.155297 \nL 123.508165 136.288687 \nL 123.769303 135.610635 \nL 124.27539 135.158285 \nL 125.008668 134.95669 \nL 125.938897 135.017211 \nL 127.025146 135.337278 \nL 128.218454 135.901283 \nL 129.464992 136.68249 \nL 131.313833 138.182417 \nL 132.980699 139.947813 \nL 133.914506 141.19593 \nL 134.663219 142.447238 \nL 135.198874 143.657155 \nL 135.501747 144.783268 \nL 135.560167 145.785872 \nL 135.370196 146.628331 \nL 134.935276 147.277493 \nL 134.265957 147.704195 \nL 133.379776 147.884013 \nL 132.301295 147.79838 \nL 131.062226 147.435893 \nL 129.701555 146.793981 \nL 128.265504 145.880763 \nL 126.807176 144.716816 \nL 125.385653 143.336611 \nL 124.064313 141.789251 \nL 122.908296 140.138005 \nL 121.981062 138.458293 \nL 121.340133 136.833971 \nL 121.032392 135.351812 \nL 121.089505 134.094939 \nL 121.259629 133.574205 \nL 121.524035 133.135735 \nL 121.880911 132.785867 \nL 122.327057 132.529555 \nL 122.857917 132.370305 \nL 124.149246 132.349473 \nL 125.69488 132.721542 \nL 127.420754 133.462805 \nL 129.244436 134.531554 \nL 131.081152 135.873048 \nL 132.849307 137.424697 \nL 134.474897 139.120577 \nL 135.894535 140.894933 \nL 137.057065 142.684471 \nL 137.923888 144.429545 \nL 138.468445 146.074622 \nL 138.675163 147.568133 \nL 138.538228 148.862211 \nL 138.060508 149.91235 \nL 137.25281 150.677482 \nL 136.133588 151.120326 \nL 134.729138 151.208385 \nL 133.074238 150.915685 \nL 131.21312 150.225183 \nL 129.200517 149.132002 \nL 127.102504 147.647163 \nL 124.996725 145.801563 \nL 122.97155 143.649436 \nL 121.123702 141.270441 \nL 119.553932 138.769339 \nL 118.360662 136.272178 \nL 117.631843 133.918507 \nL 117.463994 132.840023 \nL 117.435893 131.849911 \nL 117.551604 130.963916 \nL 117.812962 130.196146 \nL 118.219443 129.558693 \nL 118.768115 129.06131 \nL 119.453584 128.711196 \nL 120.268132 128.512818 \nL 121.201834 128.467895 \nL 122.242784 128.575475 \nL 123.377387 128.832059 \nL 125.866672 129.767121 \nL 128.540094 131.204919 \nL 131.263674 133.056492 \nL 133.909729 135.22289 \nL 136.364998 137.604107 \nL 138.53573 140.105183 \nL 140.349584 142.639387 \nL 141.755032 145.129102 \nL 142.719052 147.505077 \nL 143.224002 149.704824 \nL 143.264364 151.670776 \nL 143.111214 152.548993 \nL 142.843957 153.348522 \nL 142.464204 154.062834 \nL 141.973957 154.685463 \nL 141.375605 155.210009 \nL 140.671922 155.630132 \nL 139.866116 155.939587 \nL 138.961854 156.132272 \nL 137.963332 156.20229 \nL 136.875343 156.144041 \nL 135.703365 155.952326 \nL 134.45365 155.622516 \nL 133.133337 155.150679 \nL 131.750531 154.533812 \nL 128.835475 152.858985 \nL 125.796844 150.601635 \nL 122.744125 147.796738 \nL 119.808337 144.519408 \nL 117.139352 140.891649 \nL 115.955325 138.997918 \nL 114.899095 137.084224 \nL 113.990879 135.178572 \nL 113.249935 133.310737 \nL 112.693977 131.51154 \nL 112.338549 129.811976 \nL 112.196435 128.242269 \nL 112.277077 126.830826 \nL 112.586084 125.603268 \nL 113.124844 124.581501 \nL 113.89028 123.782934 \nL 114.874793 123.219933 \nL 116.066349 122.899492 \nL 117.448768 122.823168 \nL 119.00216 122.987312 \nL 120.703549 123.383489 \nL 122.52755 123.999123 \nL 124.447137 124.818283 \nL 126.434452 125.822504 \nL 128.46156 126.991616 \nL 132.527136 129.74012 \nL 136.443308 132.896451 \nL 140.042784 136.305766 \nL 143.198149 139.834251 \nL 145.821775 143.370999 \nL 147.861035 146.825526 \nL 148.652892 148.498175 \nL 149.291073 150.123271 \nL 149.775515 151.693157 \nL 150.106933 153.200538 \nL 150.286637 154.638379 \nL 150.316357 155.999768 \nL 150.19811 157.277813 \nL 149.934079 158.465554 \nL 149.526555 159.555876 \nL 148.977869 160.541443 \nL 148.290382 161.414631 \nL 147.466492 162.167492 \nL 146.508663 162.791746 \nL 145.419487 163.278739 \nL 144.201782 163.619484 \nL 142.858698 163.804698 \nL 141.393864 163.824883 \nL 139.811552 163.67044 \nL 138.116865 163.331831 \nL 136.315954 162.799805 \nL 134.416252 162.065674 \nL 132.426727 161.121659 \nL 130.358134 159.961345 \nL 128.223284 158.580171 \nL 126.037296 156.975992 \nL 123.817832 155.14976 \nL 121.58528 153.106225 \nL 119.362873 150.85462 \nL 117.176741 148.409385 \nL 115.055813 145.790799 \nL 113.031601 143.025454 \nL 111.137795 140.14654 \nL 109.409684 137.193778 \nL 107.88334 134.213071 \nL 106.594627 131.255603 \nL 105.578025 128.376586 \nL 104.865281 125.633452 \nL 104.483981 123.083701 \nL 104.456168 120.782459 \nL 104.796999 118.779932 \nL 105.513663 117.118984 \nL 106.604576 115.833016 \nL 108.059014 114.944434 \nL 109.857211 114.463824 \nL 111.970898 114.389823 \nL 114.364338 114.709941 \nL 116.995706 115.401881 \nL 119.818771 116.435452 \nL 122.784707 117.774792 \nL 125.843932 119.380623 \nL 128.947796 121.212334 \nL 132.050106 123.229847 \nL 135.108307 125.395079 \nL 138.084389 127.672937 \nL 140.945439 130.031968 \nL 143.663893 132.44462 \nL 146.217524 134.887234 \nL 148.589198 137.339804 \nL 150.766496 139.785661 \nL 152.741178 142.210992 \nL 154.508643 144.60442 \nL 156.067308 146.956559 \nL 157.418039 149.259588 \nL 158.563588 151.506896 \nL 159.50808 153.692756 \nL 160.256561 155.812061 \nL 160.814608 157.860081 \nL 161.187984 159.832279 \nL 161.382372 161.724137 \nL 161.40316 163.531017 \nL 161.255261 165.248018 \nL 160.942997 166.86989 \nL 160.470023 168.390904 \nL 159.83927 169.804747 \nL 159.052944 171.104424 \nL 158.112543 172.282174 \nL 157.018905 173.329352 \nL 155.77228 174.236332 \nL 154.372432 174.992435 \nL 152.818779 175.585833 \nL 151.110542 176.003497 \nL 149.246961 176.23114 \nL 147.227507 176.25324 \nL 145.052177 176.053058 \nL 142.721816 175.612775 \nL 140.238488 174.913686 \nL 137.605918 173.936535 \nL 134.829983 172.661962 \nL 131.91926 171.071168 \nL 128.885626 169.146743 \nL 125.74491 166.87377 \nL 122.517571 164.241151 \nL 119.229343 161.24322 \nL 115.911853 157.881585 \nL 112.60313 154.167103 \nL 109.347901 150.122012 \nL 106.197677 145.781872 \nL 103.210396 141.197257 \nL 100.449638 136.434781 \nL 97.983283 131.577244 \nL 95.8815 126.72248 \nL 94.214157 121.980768 \nL 93.047578 117.470537 \nL 92.440945 113.312564 \nL 92.442439 109.622999 \nL 93.085582 106.505779 \nL 94.386063 104.04532 \nL 96.339552 102.300424 \nL 98.9207 101.300314 \nL 102.083678 101.043287 \nL 105.764178 101.498351 \nL 109.882757 102.609343 \nL 114.349181 104.301138 \nL 119.06731 106.486683 \nL 123.940003 109.074192 \nL 128.873646 111.973376 \nL 133.781852 115.1004 \nL 138.588262 118.38121 \nL 143.228248 121.753168 \nL 147.649685 125.165496 \nL 151.812864 128.578615 \nL 155.689784 131.962903 \nL 159.262979 135.297146 \nL 162.524107 138.566877 \nL 165.472411 141.762846 \nL 168.113203 144.879666 \nL 170.456431 147.914699 \nL 172.515394 150.867172 \nL 174.305616 153.7375 \nL 175.843901 156.526807 \nL 177.147559 159.236566 \nL 178.23378 161.868368 \nL 179.119163 164.423769 \nL 179.819356 166.904184 \nL 180.348801 169.310836 \nL 180.720564 171.644721 \nL 180.946225 173.906573 \nL 181.03583 176.096866 \nL 180.997877 178.215788 \nL 180.839331 180.263204 \nL 180.565659 182.238661 \nL 180.180874 184.141318 \nL 179.687596 185.969923 \nL 179.087098 187.722776 \nL 178.37937 189.397611 \nL 177.563167 190.991566 \nL 176.63606 192.501063 \nL 175.594482 193.921697 \nL 174.43377 195.248107 \nL 173.148198 196.47383 \nL 171.731027 197.591115 \nL 170.174532 198.590723 \nL 168.470068 199.461699 \nL 166.60812 200.191112 \nL 164.578388 200.763763 \nL 162.369895 201.16188 \nL 159.971132 201.364769 \nL 157.37025 201.348468 \nL 154.555329 201.0854 \nL 151.514727 200.544051 \nL 148.237528 199.688712 \nL 144.714132 198.479323 \nL 140.93701 196.871527 \nL 136.901651 194.816989 \nL 132.607709 192.264119 \nL 128.060455 189.159357 \nL 123.272444 185.449207 \nL 118.265485 181.083198 \nL 113.07285 176.018023 \nL 107.741643 170.222913 \nL 102.335209 163.686422 \nL 96.935341 156.424376 \nL 91.643996 148.488627 \nL 86.584004 139.975716 \nL 81.898351 131.034096 \nL 77.747357 121.868117 \nL 74.303283 112.736611 \nL 71.741979 103.943969 \nL 70.231596 95.82242 \nL 69.919063 88.705711 \nL 70.915442 82.896518 \nL 73.282275 78.632293 \nL 77.021078 76.056034 \nL 82.068278 75.198478 \nL 88.297056 75.976145 \nL 95.526292 78.206212 \nL 103.535508 81.634751 \nL 112.083325 85.971921 \nL 120.926554 90.926452 \nL 129.837086 96.233404 \nL 138.614691 101.671983 \nL 155.151748 112.317645 \nL 169.678658 122.076026 \nL 181.873337 130.718879 \nL 187.103589 134.635815 \nL 191.792059 138.307697 \nL 195.978077 141.756157 \nL 199.706372 145.002375 \nL 203.024372 148.065746 \nL 205.980173 150.963212 \nL 210.992482 156.314797 \nL 215.095949 161.140457 \nL 223.28475 171.146564 \nL 226.329683 174.330483 \nL 227.892028 175.734659 \nL 229.504849 177.005744 \nL 231.184139 178.136154 \nL 232.944555 179.116905 \nL 234.79953 179.93752 \nL 236.761364 180.585925 \nL 238.841244 181.048376 \nL 241.049225 181.309385 \nL 243.39414 181.351661 \nL 245.883459 181.156109 \nL 248.523054 180.701895 \nL 251.316895 179.966615 \nL 254.26665 178.926569 \nL 257.371196 177.557223 \nL 260.626031 175.833882 \nL 264.022592 173.732643 \nL 267.547481 171.231627 \nL 271.181613 168.312606 \nL 274.899367 164.962995 \nL 278.667689 161.178249 \nL 282.445345 156.964589 \nL 286.182282 152.341919 \nL 289.819379 147.34683 \nL 293.288574 142.035224 \nL 296.513616 136.484316 \nL 299.411605 130.793441 \nL 301.895362 125.083113 \nL 303.87677 119.491929 \nL 305.271017 114.171039 \nL 306.001527 109.276144 \nL 306.005281 104.957559 \nL 305.238056 101.349279 \nL 303.678901 98.558269 \nL 301.333383 96.655638 \nL 298.234895 95.671117 \nL 294.443871 95.591705 \nL 290.04472 96.364844 \nL 285.140915 97.905405 \nL 279.848652 100.1054 \nL 274.289966 102.844755 \nL 268.585952 106.001477 \nL 262.850826 109.46014 \nL 257.187276 113.11793 \nL 251.683318 116.888031 \nL 246.410645 120.7008 \nL 241.424299 124.503084 \nL 236.763396 128.256421 \nL 232.452594 131.934659 \nL 228.503992 135.521402 \nL 224.919226 139.007602 \nL 221.691579 142.389499 \nL 218.807958 145.666906 \nL 216.250661 148.841924 \nL 213.998913 151.917966 \nL 212.03014 154.899082 \nL 210.321 157.78951 \nL 208.848194 160.59342 \nL 207.589073 163.314735 \nL 206.522091 165.957055 \nL 205.627102 168.523647 \nL 204.280611 173.441092 \nL 203.421767 178.087147 \nL 202.949942 182.478115 \nL 202.789791 186.627451 \nL 202.888261 190.546339 \nL 203.211412 194.244022 \nL 203.741532 197.727751 \nL 204.474831 201.002558 \nL 205.419788 204.070715 \nL 206.596183 206.930904 \nL 208.034753 209.576964 \nL 209.777455 211.996061 \nL 210.77921 213.114044 \nL 211.878214 214.16608 \nL 213.083274 215.147333 \nL 214.404104 216.051833 \nL 215.851385 216.872261 \nL 217.436802 217.599699 \nL 219.17309 218.223332 \nL 221.074071 218.730097 \nL 223.154662 219.104268 \nL 225.430873 219.327001 \nL 227.919762 219.375787 \nL 230.639335 219.223851 \nL 233.608391 218.839485 \nL 236.846255 218.185336 \nL 240.372411 217.217673 \nL 244.205936 215.885681 \nL 248.364767 214.130858 \nL 252.86466 211.886635 \nL 257.717847 209.078385 \nL 262.93127 205.624058 \nL 268.504317 201.435744 \nL 274.426059 196.422593 \nL 280.671845 190.495566 \nL 287.199332 183.574504 \nL 293.944024 175.59807 \nL 300.814542 166.536837 \nL 307.688078 156.409391 \nL 314.406685 145.300606 \nL 320.775377 133.380091 \nL 326.563354 120.917371 \nL 331.509713 108.288968 \nL 335.33495 95.971492 \nL 337.759054 84.515606 \nL 338.525809 74.498266 \nL 337.431212 66.456197 \nL 334.35209 60.810747 \nL 329.269502 57.800477 \nL 322.281021 57.439819 \nL 313.597983 59.517393 \nL 303.526581 63.63617 \nL 292.436082 69.284547 \nL 280.72051 75.918432 \nL 256.898063 90.214599 \nL 234.50184 103.659507 \nL 214.944143 114.999747 \nL 198.705431 124.084484 \nL 167.299411 141.43061 \nL 151.580351 150.333546 \nL 147.907073 152.092185 \nL 144.576852 153.30696 \nL 142.986492 153.710796 \nL 141.424183 153.97755 \nL 139.877494 154.105612 \nL 138.336864 154.093222 \nL 136.795407 153.938644 \nL 135.248764 153.64043 \nL 133.694978 153.197628 \nL 132.134379 152.610051 \nL 130.569485 151.878498 \nL 129.004931 151.005037 \nL 127.447384 149.993277 \nL 125.905442 148.84863 \nL 124.389531 147.578541 \nL 121.485849 144.703413 \nL 118.850462 141.47589 \nL 117.673851 139.775058 \nL 116.614073 138.045198 \nL 115.688242 136.31077 \nL 114.912941 134.597904 \nL 114.3037 132.933825 \nL 113.874455 131.346163 \nL 113.63702 129.8622 \nL 113.600548 128.50801 \nL 113.771089 127.307624 \nL 114.151206 126.282231 \nL 114.739724 125.449481 \nL 115.531554 124.822895 \nL 116.517743 124.411511 \nL 117.685604 124.219703 \nL 119.019039 124.247232 \nL 120.498947 124.489486 \nL 122.103802 124.937912 \nL 123.810242 125.580582 \nL 125.593736 126.402856 \nL 127.429239 127.388075 \nL 131.157365 129.774712 \nL 134.806727 132.591591 \nL 138.214363 135.694421 \nL 141.250317 138.953472 \nL 143.819773 142.257497 \nL 145.860568 145.513306 \nL 147.337838 148.642797 \nL 147.860129 150.138903 \nL 148.237539 151.578931 \nL 148.470527 152.955544 \nL 148.5601 154.261637 \nL 148.507693 155.490182 \nL 148.315049 156.634191 \nL 147.984139 157.686594 \nL 147.517114 158.640215 \nL 146.916251 159.487687 \nL 146.183971 160.221436 \nL 145.32285 160.833657 \nL 144.33566 161.316293 \nL 143.225454 161.661089 \nL 141.995643 161.859603 \nL 140.650129 161.903309 \nL 139.193439 161.783679 \nL 137.630887 161.49235 \nL 135.968757 161.021347 \nL 134.214502 160.363284 \nL 132.376947 159.511727 \nL 130.46652 158.461529 \nL 128.495455 157.209293 \nL 126.477999 155.753838 \nL 124.430599 154.096762 \nL 122.372045 152.24301 \nL 120.323554 150.201458 \nL 118.308782 147.985483 \nL 116.353731 145.613457 \nL 114.486547 143.109122 \nL 112.73716 140.501777 \nL 111.136779 137.826244 \nL 109.717198 135.122493 \nL 108.509991 132.434987 \nL 107.545496 129.811576 \nL 106.851709 127.302093 \nL 106.45312 124.9566 \nL 106.369552 122.823441 \nL 106.61504 120.947138 \nL 107.196915 119.366428 \nL 108.115118 118.112474 \nL 109.3618 117.207502 \nL 110.921349 116.663971 \nL 112.770759 116.484314 \nL 114.880374 116.661384 \nL 117.214973 117.179352 \nL 119.735074 118.015089 \nL 122.398425 119.1399 \nL 125.161526 120.521296 \nL 127.981072 122.124769 \nL 130.81529 123.915413 \nL 133.625055 125.859214 \nL 136.374742 127.9241 \nL 139.032835 130.080618 \nL 141.572271 132.302355 \nL 143.970542 134.566044 \nL 146.209604 136.851527 \nL 148.27563 139.141536 \nL 150.158643 141.421411 \nL 151.852063 143.678744 \nL 153.352239 145.903042 \nL 154.657945 148.085344 \nL 155.769902 150.217933 \nL 156.690327 152.294017 \nL 157.422505 154.307488 \nL 157.970437 156.252693 \nL 158.338524 158.124222 \nL 158.531286 159.916763 \nL 158.553162 161.62494 \nL 158.408326 163.243186 \nL 158.100574 164.765638 \nL 157.63323 166.186008 \nL 157.009097 167.497488 \nL 156.230441 168.692666 \nL 155.29901 169.763424 \nL 154.216075 170.70086 \nL 152.982514 171.495206 \nL 151.598913 172.13579 \nL 150.065695 172.610955 \nL 148.383292 172.908062 \nL 146.552361 173.013489 \nL 144.574001 172.912691 \nL 142.450047 172.59031 \nL 140.183392 172.030364 \nL 137.77835 171.216531 \nL 135.241071 170.132549 \nL 132.58001 168.76276 \nL 129.806407 167.092827 \nL 126.934837 165.110587 \nL 123.983725 162.807166 \nL 120.97591 160.178232 \nL 117.939106 157.225462 \nL 114.906306 153.958097 \nL 111.916038 150.394594 \nL 109.012378 146.564177 \nL 106.24475 142.50815 \nL 103.667264 138.280789 \nL 101.337715 133.949542 \nL 99.31605 129.594315 \nL 97.662356 125.30571 \nL 96.434388 121.181972 \nL 95.684731 117.324817 \nL 95.457783 113.834208 \nL 95.786733 110.802596 \nL 96.690908 108.309068 \nL 98.173675 106.414129 \nL 100.221257 105.155869 \nL 102.802632 104.547817 \nL 105.870555 104.578997 \nL 109.363711 105.216101 \nL 113.2098 106.407288 \nL 117.32919 108.087254 \nL 121.638866 110.182784 \nL 126.056261 112.61802 \nL 130.502674 115.319048 \nL 134.906045 118.217433 \nL 139.202932 121.252509 \nL 143.339747 124.372562 \nL 147.273219 127.535046 \nL 150.970256 130.706149 \nL 154.407331 133.859842 \nL 157.569517 136.97673 \nL 160.449353 140.042841 \nL 163.045617 143.048473 \nL 165.362088 145.98716 \nL 167.4064 148.854808 \nL 169.188984 151.648991 \nL 170.722143 154.368409 \nL 172.019267 157.012456 \nL 173.094176 159.580928 \nL 173.960595 162.0738 \nL 174.631735 164.491056 \nL 175.119978 166.832575 \nL 175.436648 169.098051 \nL 175.591843 171.28694 \nL 175.594338 173.398374 \nL 175.451515 175.431144 \nL 175.169347 177.383617 \nL 174.752397 179.253698 \nL 174.20384 181.038751 \nL 173.525491 182.735525 \nL 172.717858 184.34007 \nL 171.780192 185.847622 \nL 170.710544 187.252496 \nL 169.505818 188.547944 \nL 168.161853 189.726 \nL 166.673488 190.777309 \nL 165.034653 191.690923 \nL 163.238466 192.454102 \nL 161.27736 193.052082 \nL 159.14323 193.46784 \nL 156.827626 193.681842 \nL 154.321981 193.671814 \nL 151.61793 193.412536 \nL 148.707666 192.875689 \nL 145.584428 192.029779 \nL 142.243076 190.840217 \nL 138.680823 189.269591 \nL 134.898113 187.278212 \nL 130.899662 184.825046 \nL 126.695688 181.869161 \nL 122.303331 178.371737 \nL 117.748229 174.298878 \nL 113.066193 169.625218 \nL 108.304926 164.338434 \nL 103.525651 158.444518 \nL 98.804382 151.973713 \nL 94.232674 144.986513 \nL 89.91747 137.579097 \nL 85.979661 129.887125 \nL 82.551079 122.08668 \nL 79.769545 114.391015 \nL 77.771963 107.041992 \nL 76.685577 100.295813 \nL 76.618001 94.403666 \nL 77.646978 89.589086 \nL 79.811204 86.025328 \nL 83.10367 83.81679 \nL 87.468897 82.988014 \nL 92.804759 83.482972 \nL 98.969085 85.174818 \nL 105.790126 87.884066 \nL 113.079417 91.401446 \nL 120.645216 95.510948 \nL 128.304736 100.009393 \nL 135.893848 104.720088 \nL 143.27357 109.500051 \nL 150.333331 114.241618 \nL 156.991395 118.869786 \nL 163.193122 123.337247 \nL 168.907864 127.618398 \nL 174.125129 131.703519 \nL 178.850579 135.593675 \nL 183.102202 139.296617 \nL 186.906893 142.823724 \nL 190.29754 146.187835 \nL 193.310635 149.401862 \nL 195.984387 152.477903 \nL 198.357291 155.426802 \nL 200.467068 158.257977 \nL 204.040129 163.597546 \nL 206.968011 168.544334 \nL 215.10291 183.068084 \nL 217.465127 186.421899 \nL 218.729158 187.955082 \nL 220.06581 189.386327 \nL 221.487573 190.709674 \nL 223.006695 191.91791 \nL 224.635291 193.002386 \nL 226.385427 193.952825 \nL 228.26918 194.757119 \nL 230.298655 195.401073 \nL 232.485958 195.868149 \nL 234.84313 196.139212 \nL 237.382013 196.19224 \nL 240.114048 196.002078 \nL 243.049991 195.540211 \nL 246.19951 194.77461 \nL 249.570681 193.669716 \nL 253.169315 192.186566 \nL 256.998139 190.283215 \nL 261.055768 187.915512 \nL 265.335485 185.038333 \nL 269.8238 181.607505 \nL 274.498792 177.58242 \nL 279.328317 172.929643 \nL 284.268079 167.627457 \nL 289.259728 161.671445 \nL 294.229222 155.080917 \nL 299.085612 147.905755 \nL 303.720689 140.233066 \nL 308.009877 132.19252 \nL 311.814754 123.959017 \nL 314.987643 115.751153 \nL 317.378483 107.823982 \nL 318.843901 100.455182 \nL 319.258026 93.924826 \nL 318.524096 88.490416 \nL 316.585386 84.360508 \nL 313.43385 81.671479 \nL 309.114711 80.472055 \nL 303.725929 80.719278 \nL 297.412172 82.286866 \nL 290.353924 84.984388 \nL 282.753389 88.582916 \nL 274.819294 92.842001 \nL 266.752678 97.533106 \nL 258.735386 102.456526 \nL 250.922189 107.450542 \nL 243.436667 112.393806 \nL 236.370442 117.202549 \nL 229.784955 121.824811 \nL 223.714912 126.233505 \nL 218.172561 130.419568 \nL 213.152222 134.386013 \nL 208.63458 138.143188 \nL 204.590517 141.705235 \nL 200.984365 145.08766 \nL 197.776553 148.305728 \nL 194.925678 151.373541 \nL 192.390075 154.303548 \nL 188.103217 159.790896 \nL 184.612552 164.831843 \nL 180.300077 171.636978 \nL 176.462962 177.574795 \nL 173.887538 181.041475 \nL 172.542322 182.618738 \nL 171.138308 184.085826 \nL 169.661247 185.436732 \nL 168.097565 186.664178 \nL 166.434233 187.759453 \nL 164.658657 188.712283 \nL 162.758622 189.51062 \nL 160.722248 190.140474 \nL 158.538016 190.585692 \nL 156.194848 190.827767 \nL 153.682235 190.845642 \nL 150.990441 190.615557 \nL 148.110803 190.110953 \nL 145.036121 189.302464 \nL 141.761177 188.15803 \nL 138.283361 186.643236 \nL 134.603471 184.7219 \nL 130.726642 182.357014 \nL 126.66347 179.512163 \nL 122.431265 176.153447 \nL 118.055439 172.252109 \nL 113.571006 167.787873 \nL 109.02404 162.752985 \nL 104.473024 157.156959 \nL 99.989896 151.031706 \nL 95.660535 144.436711 \nL 91.584434 137.46351 \nL 87.873248 130.238729 \nL 84.647895 122.924451 \nL 82.034042 115.715021 \nL 80.155864 108.829266 \nL 79.12832 102.498002 \nL 79.048376 96.94718 \nL 79.98612 92.378512 \nL 81.976771 88.950127 \nL 85.014909 86.760463 \nL 89.051944 85.838557 \nL 93.997582 86.142745 \nL 99.725285 87.568221 \nL 106.081132 89.961793 \nL 112.894917 93.141032 \nL 119.991829 96.913992 \nL 127.203368 101.096558 \nL 134.37625 105.525173 \nL 141.37863 110.064176 \nL 148.103558 114.608318 \nL 154.469888 119.081422 \nL 160.421221 123.432633 \nL 165.923471 127.631614 \nL 170.961663 131.663541 \nL 175.536433 135.524568 \nL 179.6606 139.218047 \nL 183.356019 142.751646 \nL 186.65084 146.135177 \nL 189.57722 149.379183 \nL 192.169475 152.493987 \nL 194.462646 155.489152 \nL 196.491421 158.373232 \nL 198.289356 161.153664 \nL 201.318336 166.42793 \nL 203.78012 171.351069 \nL 206.82913 178.131729 \nL 209.565127 184.225836 \nL 211.419649 187.911597 \nL 213.417197 191.287002 \nL 215.648707 194.333591 \nL 216.879462 195.724479 \nL 218.201354 197.020365 \nL 219.625405 198.214765 \nL 221.162883 199.299844 \nL 222.825383 200.266205 \nL 224.624884 201.10264 \nL 226.573772 201.795865 \nL 228.684837 202.330215 \nL 230.971226 202.687311 \nL 233.446362 202.845702 \nL 236.123768 202.780497 \nL 239.016857 202.462979 \nL 242.138594 201.860275 \nL 245.501037 200.935072 \nL 249.114764 199.645444 \nL 252.988083 197.94491 \nL 257.126054 195.782762 \nL 261.529273 193.104855 \nL 266.192367 189.854982 \nL 271.102193 185.977063 \nL 276.235774 181.41836 \nL 281.557927 176.133926 \nL 287.018775 170.092477 \nL 292.551156 163.283675 \nL 298.06832 155.726777 \nL 303.462167 147.479998 \nL 308.60258 138.649736 \nL 313.338346 129.398073 \nL 317.500426 119.94656 \nL 320.907997 110.573838 \nL 323.377742 101.604944 \nL 324.736169 93.39103 \nL 324.834334 86.279853 \nL 323.56338 80.580128 \nL 320.86878 76.525225 \nL 316.760688 74.243418 \nL 311.318161 73.741584 \nL 304.685768 74.906749 \nL 297.062644 77.52559 \nL 288.685564 81.317135 \nL 279.808843 85.971257 \nL 270.684261 91.184687 \nL 261.543938 96.688485 \nL 243.977619 107.749249 \nL 228.235106 118.052362 \nL 214.836193 127.193773 \nL 209.046834 131.319928 \nL 203.83944 135.171619 \nL 199.178932 138.771697 \nL 195.022254 142.143842 \nL 191.321747 145.310529 \nL 188.027746 148.291866 \nL 182.461565 153.764578 \nL 177.946372 158.6652 \nL 167.607986 170.389882 \nL 164.438606 173.314604 \nL 162.804254 174.576371 \nL 161.11361 175.695208 \nL 159.351328 176.662522 \nL 157.503526 177.468288 \nL 155.557695 178.100975 \nL 153.502652 178.547522 \nL 151.328551 178.793264 \nL 149.026951 178.821951 \nL 146.590961 178.615769 \nL 144.015431 178.155437 \nL 141.297246 177.420438 \nL 138.435684 176.389318 \nL 135.432878 175.040175 \nL 132.294327 173.351375 \nL 129.029537 171.302445 \nL 125.652683 168.875318 \nL 122.183359 166.055818 \nL 118.647316 162.835546 \nL 115.077166 159.213999 \nL 111.513006 155.200989 \nL 108.002842 150.819143 \nL 104.602679 146.106398 \nL 101.376257 141.118075 \nL 98.394162 135.928336 \nL 95.732327 130.630472 \nL 93.469733 125.335707 \nL 91.685336 120.17011 \nL 90.454282 115.269487 \nL 89.843562 110.772301 \nL 89.907408 106.811107 \nL 90.682906 103.503252 \nL 92.186237 100.942056 \nL 94.410115 99.189518 \nL 97.322768 98.271884 \nL 100.868798 98.178652 \nL 104.971854 98.865214 \nL 109.538907 100.258693 \nL 114.465635 102.26596 \nL 119.642338 104.782549 \nL 124.959768 107.701255 \nL 130.314269 110.919451 \nL 135.611907 114.344347 \nL 140.771319 117.896277 \nL 145.725321 121.509944 \nL 150.421369 125.134248 \nL 154.821104 128.730989 \nL 158.899199 132.273013 \nL 162.641797 135.742143 \nL 166.044735 139.127164 \nL 169.111711 142.422006 \nL 171.852534 145.624247 \nL 174.281524 148.733893 \nL 176.416111 151.752503 \nL 178.275645 154.682501 \nL 179.880417 157.526731 \nL 181.250879 160.288143 \nL 182.407036 162.969624 \nL 183.368 165.573872 \nL 184.15166 168.103353 \nL 184.774473 170.560272 \nL 185.251328 172.946577 \nL 185.818553 177.5139 \nL 185.939817 181.816172 \nL 185.676535 185.860651 \nL 185.067141 189.651004 \nL 184.129448 193.186765 \nL 182.862776 196.462342 \nL 182.101214 197.99904 \nL 181.249572 199.465443 \nL 180.303194 200.858582 \nL 179.256463 202.174725 \nL 178.102822 203.409248 \nL 176.834755 204.556474 \nL 175.4438 205.609498 \nL 173.920536 206.559971 \nL 172.254588 207.397857 \nL 170.434637 208.111143 \nL 168.448444 208.685522 \nL 166.282897 209.104025 \nL 163.924094 209.346598 \nL 161.357455 209.38967 \nL 158.567921 209.205656 \nL 155.54021 208.762463 \nL 152.259185 208.023004 \nL 148.710354 206.944771 \nL 144.88054 205.479503 \nL 140.758766 203.573098 \nL 136.337371 201.165829 \nL 131.61346 198.193086 \nL 126.590676 194.586848 \nL 121.281353 190.278131 \nL 115.709086 185.200758 \nL 109.911662 179.296732 \nL 103.944257 172.523526 \nL 97.882783 164.86338 \nL 91.826972 156.334463 \nL 85.902857 147.003294 \nL 80.263879 136.997102 \nL 75.08989 126.514044 \nL 70.583172 115.828353 \nL 66.960633 105.286867 \nL 64.44167 95.293968 \nL 63.231862 86.282797 \nL 63.503654 78.674041 \nL 65.376153 72.827048 \nL 68.897251 68.991916 \nL 74.031772 67.2734 \nL 80.658562 67.616273 \nL 88.578166 69.816692 \nL 97.530312 73.557435 \nL 107.218222 78.457725 \nL 117.3354 84.125692 \nL 127.590339 90.202311 \nL 147.530175 102.465291 \nL 173.59905 118.802508 \nL 187.601485 127.756595 \nL 198.937081 135.299248 \nL 207.949486 141.692317 \nL 215.08197 147.173096 \nL 220.783932 151.915294 \nL 233.094069 162.564708 \nL 236.561816 164.995289 \nL 238.295704 165.98997 \nL 240.054976 166.829681 \nL 241.855515 167.50701 \nL 243.710874 168.01349 \nL 245.632391 168.339633 \nL 247.629237 168.475065 \nL 249.708438 168.408664 \nL 251.874825 168.12872 \nL 254.130936 167.623193 \nL 256.476875 166.880016 \nL 258.910105 165.88753 \nL 261.425209 164.634972 \nL 264.013614 163.113149 \nL 266.663271 161.315187 \nL 269.358371 159.237434 \nL 272.079032 156.880479 \nL 274.801065 154.250286 \nL 277.495809 151.359321 \nL 280.130119 148.227728 \nL 282.666492 144.884321 \nL 285.063466 141.367358 \nL 287.276265 137.724936 \nL 289.25778 134.014837 \nL 290.959874 130.303692 \nL 292.335052 126.665372 \nL 293.338354 123.178576 \nL 293.929556 119.923601 \nL 294.075363 116.978591 \nL 293.751562 114.415369 \nL 292.944914 112.295434 \nL 291.654549 110.666355 \nL 289.892749 109.559108 \nL 287.684961 108.986627 \nL 285.069016 108.943738 \nL 282.093587 109.408487 \nL 278.81599 110.344638 \nL 275.29957 111.705032 \nL 271.610835 113.435325 \nL 267.816657 115.477737 \nL 263.981661 117.774435 \nL 260.166087 120.270218 \nL 256.424123 122.914562 \nL 252.802775 125.662794 \nL 249.341303 128.476652 \nL 246.071106 131.324259 \nL 243.016002 134.17973 \nL 240.192786 137.022512 \nL 237.611994 139.836625 \nL 235.278779 142.609832 \nL 233.193815 145.332918 \nL 231.354202 147.998971 \nL 229.75431 150.602818 \nL 228.386533 153.140545 \nL 227.241983 155.609096 \nL 226.31106 158.005962 \nL 225.583942 160.328939 \nL 225.050968 162.575932 \nL 224.702968 164.744815 \nL 224.531488 166.833306 \nL 224.528984 168.838854 \nL 224.688932 170.758539 \nL 225.005918 172.589008 \nL 225.475683 174.326364 \nL 226.095128 175.96608 \nL 226.862315 177.502897 \nL 227.776424 178.93073 \nL 228.837707 180.242533 \nL 230.047424 181.430172 \nL 231.40775 182.484302 \nL 232.921682 183.394209 \nL 234.592904 184.147666 \nL 236.425643 184.730759 \nL 238.424491 185.127762 \nL 240.59418 185.320991 \nL 242.939323 185.290697 \nL 245.464102 185.015008 \nL 248.171865 184.469937 \nL 251.064678 183.629511 \nL 254.142772 182.466023 \nL 257.403889 180.950489 \nL 260.842514 179.053363 \nL 264.449023 176.74556 \nL 268.208686 173.999873 \nL 272.10062 170.792859 \nL 276.09664 167.107157 \nL 280.160169 162.934428 \nL 284.245164 158.278656 \nL 288.295294 153.159836 \nL 292.243431 147.617779 \nL 296.011707 141.715557 \nL 299.512317 135.542183 \nL 302.649226 129.213753 \nL 305.321063 122.872422 \nL 307.42515 116.682539 \nL 308.86277 110.823461 \nL 309.545305 105.479288 \nL 309.400864 100.825915 \nL 308.380773 97.016942 \nL 306.465046 94.170262 \nL 303.666049 92.357391 \nL 300.029748 91.597527 \nL 295.634039 91.85743 \nL 290.584322 93.057126 \nL 285.006733 95.080459 \nL 279.039889 97.788448 \nL 272.826262 101.033178 \nL 266.503998 104.670272 \nL 260.20019 108.568341 \nL 254.025928 112.615024 \nL 248.073355 116.71959 \nL 242.414545 120.812864 \nL 237.101911 124.845199 \nL 232.169721 128.78346 \nL 227.636308 132.607623 \nL 223.50663 136.307493 \nL 219.774883 139.879863 \nL 216.426993 143.326136 \nL 213.442863 146.65055 \nL 210.798307 149.858892 \nL 208.466664 152.957544 \nL 206.420096 155.952939 \nL 204.630597 158.851205 \nL 203.070761 161.657983 \nL 201.714325 164.378336 \nL 199.514407 169.577283 \nL 197.854424 174.478126 \nL 196.587723 179.104438 \nL 195.172805 185.569551 \nL 191.698363 203.539714 \nL 190.874682 206.54279 \nL 189.921902 209.361826 \nL 188.802689 211.997414 \nL 187.47544 214.446236 \nL 185.892221 216.699552 \nL 183.996663 218.741058 \nL 182.911295 219.674473 \nL 181.72176 220.543751 \nL 180.41764 221.343092 \nL 178.987565 222.06537 \nL 177.419133 222.701848 \nL 175.698849 223.241886 \nL 173.812072 223.672566 \nL 171.742965 223.978259 \nL 169.474485 224.140131 \nL 166.98839 224.135553 \nL 164.265312 223.937438 \nL 161.284886 223.513515 \nL 158.025972 222.825494 \nL 154.46701 221.828221 \nL 150.58653 220.468811 \nL 146.363891 218.685851 \nL 141.780293 216.408806 \nL 136.820146 213.557752 \nL 131.472878 210.043742 \nL 125.735288 205.770122 \nL 119.614495 200.635237 \nL 113.131601 194.537105 \nL 106.326058 187.380712 \nL 99.260697 179.088534 \nL 92.027154 169.614836 \nL 84.751352 158.963754 \nL 77.598237 147.210454 \nL 70.774716 134.523359 \nL 64.52931 121.183563 \nL 59.146905 107.59582 \nL 54.936729 94.283935 \nL 52.212625 81.863628 \nL 51.265661 70.988886 \nL 52.331202 62.274397 \nL 55.555061 56.205607 \nL 60.965325 53.05656 \nL 68.456882 52.838831 \nL 77.794134 55.299069 \nL 88.633057 59.968423 \nL 100.558865 66.249718 \nL 113.131191 73.516912 \nL 150.780797 96.119527 \nL 162.319509 102.829812 \nL 173.049222 108.877805 \nL 182.891649 114.242112 \nL 191.821005 118.949768 \nL 207.021395 126.623572 \nL 224.003406 134.766081 \nL 238.693682 141.545619 \nL 245.926881 144.68333 \nL 249.651421 146.093054 \nL 252.805012 147.032797 \nL 255.573485 147.53909 \nL 258.086151 147.635836 \nL 260.425682 147.342405 \nL 262.636465 146.679815 \nL 264.731567 145.675756 \nL 266.69875 144.36859 \nL 268.505947 142.810227 \nL 270.106776 141.067672 \nL 271.446292 139.222702 \nL 272.467376 137.369308 \nL 273.117435 135.608814 \nL 273.35518 134.042894 \nL 273.311178 133.362731 \nL 273.156826 132.765265 \nL 272.892663 132.259602 \nL 272.520803 131.853375 \nL 272.044933 131.552583 \nL 271.470306 131.361472 \nL 270.803665 131.282502 \nL 269.22798 131.461827 \nL 267.396192 132.075461 \nL 265.399619 133.084625 \nL 263.335447 134.432587 \nL 261.299747 136.051198 \nL 259.381498 137.866903 \nL 257.658312 139.805556 \nL 256.193937 141.795684 \nL 255.037458 143.77024 \nL 254.223781 145.667221 \nL 253.774939 147.429451 \nL 253.701752 149.004042 \nL 254.005425 150.341672 \nL 254.296643 150.907056 \nL 254.678781 151.3961 \nL 255.149753 151.803493 \nL 255.707 152.124138 \nL 256.347485 152.353202 \nL 257.067664 152.486124 \nL 258.730234 152.447209 \nL 260.654951 151.979525 \nL 262.791363 151.065345 \nL 265.076819 149.701148 \nL 267.435243 147.902488 \nL 269.776765 145.708986 \nL 271.998785 143.18867 \nL 273.989126 140.44032 \nL 275.631666 137.592491 \nL 276.814624 134.797797 \nL 277.202536 133.472055 \nL 277.440926 132.221981 \nL 277.521833 131.067802 \nL 277.439584 130.028488 \nL 277.191086 129.121176 \nL 276.776021 128.36069 \nL 276.196958 127.759089 \nL 275.459381 127.325341 \nL 274.57163 127.06514 \nL 273.544723 126.980818 \nL 272.392103 127.071429 \nL 271.129301 127.332957 \nL 269.773527 127.758578 \nL 268.34324 128.339092 \nL 265.336403 129.918551 \nL 262.263923 131.966503 \nL 259.273044 134.367709 \nL 256.493136 137.007646 \nL 254.029746 139.779721 \nL 251.962662 142.588737 \nL 250.347115 145.35135 \nL 249.217027 147.994707 \nL 248.58922 150.454043 \nL 248.465305 151.596027 \nL 248.46764 152.670078 \nL 248.595294 153.669244 \nL 248.846931 154.586665 \nL 249.22086 155.415492 \nL 249.715058 156.148875 \nL 250.327196 156.779928 \nL 251.054627 157.301734 \nL 251.894354 157.707366 \nL 252.842982 157.989888 \nL 253.896659 158.142449 \nL 255.050981 158.158337 \nL 256.300905 158.031092 \nL 257.640615 157.754654 \nL 259.063418 157.323519 \nL 260.561586 156.732972 \nL 262.126238 155.979328 \nL 263.747183 155.060221 \nL 265.41279 153.974937 \nL 267.109888 152.724744 \nL 268.823652 151.313284 \nL 270.537575 149.746938 \nL 272.233452 148.035205 \nL 273.891431 146.191001 \nL 275.490152 144.230938 \nL 277.006965 142.175455 \nL 278.418251 140.048857 \nL 279.699843 137.879132 \nL 280.827546 135.697621 \nL 281.777763 133.53843 \nL 282.528192 131.437642 \nL 283.058605 129.432316 \nL 283.35162 127.559298 \nL 283.393461 125.853955 \nL 283.174679 124.348829 \nL 282.690711 123.072392 \nL 281.942313 122.047927 \nL 280.935773 121.292657 \nL 279.682903 120.817187 \nL 278.200773 120.62531 \nL 276.511228 120.714151 \nL 274.640215 121.07469 \nL 272.616898 121.692545 \nL 270.472729 122.54896 \nL 268.240427 123.621888 \nL 265.952991 124.887135 \nL 263.642785 126.319427 \nL 261.340708 127.893312 \nL 259.075543 129.583984 \nL 254.757636 133.222925 \nL 250.86182 137.068252 \nL 249.112436 139.024162 \nL 247.510804 140.982464 \nL 246.065055 142.930469 \nL 244.780926 144.856953 \nL 243.662083 146.751952 \nL 242.710445 148.606546 \nL 241.926496 150.412652 \nL 241.309604 152.162824 \nL 240.858287 153.850058 \nL 240.570462 155.467665 \nL 240.443657 157.009111 \nL 240.47519 158.46786 \nL 240.662306 159.8373 \nL 241.002296 161.110622 \nL 241.49255 162.280722 \nL 242.130617 163.340128 \nL 242.914194 164.280943 \nL 243.841124 165.094767 \nL 244.90933 165.772684 \nL 246.116746 166.305212 \nL 247.461195 166.682319 \nL 248.940261 166.893453 \nL 250.551122 166.927602 \nL 252.290345 166.773398 \nL 254.153657 166.419284 \nL 256.135691 165.85373 \nL 258.229705 165.065554 \nL 260.42726 164.044305 \nL 262.717887 162.780752 \nL 265.088754 161.267481 \nL 267.524324 159.499609 \nL 270.006018 157.475587 \nL 272.511932 155.198104 \nL 275.016602 152.675039 \nL 277.490911 149.920451 \nL 279.902064 146.955461 \nL 282.213787 143.809053 \nL 284.386739 140.518575 \nL 286.37915 137.129887 \nL 288.147759 133.697034 \nL 289.649028 130.281303 \nL 290.840637 126.949647 \nL 291.683173 123.772433 \nL 292.142005 120.820625 \nL 292.189154 118.162477 \nL 291.805072 115.860077 \nL 290.980135 113.96604 \nL 289.715755 112.520635 \nL 288.024883 111.549662 \nL 285.931911 111.063401 \nL 283.471926 111.056712 \nL 280.689277 111.510143 \nL 277.635701 112.392121 \nL 274.368052 113.661683 \nL 270.945869 115.271581 \nL 267.429002 117.171387 \nL 263.875413 119.310324 \nL 260.339309 121.639529 \nL 256.869712 124.1138 \nL 253.509479 126.692671 \nL 250.294769 129.340973 \nL 247.254894 132.028904 \nL 244.412517 134.731762 \nL 241.784099 137.429488 \nL 239.380513 140.106034 \nL 237.207783 142.748728 \nL 235.26786 145.347639 \nL 233.559396 147.894982 \nL 232.078479 150.384638 \nL 230.819312 152.811679 \nL 229.774832 155.172039 \nL 228.937217 157.46221 \nL 228.298341 159.679011 \nL 227.85014 161.819378 \nL 227.584905 163.880221 \nL 227.495512 165.858283 \nL 227.57559 167.75003 \nL 227.819652 169.551549 \nL 228.223163 171.258432 \nL 228.782592 172.865701 \nL 229.49542 174.367679 \nL 230.360127 175.757908 \nL 231.376146 177.029018 \nL 232.543809 178.172627 \nL 233.864259 179.179213 \nL 235.339353 180.037977 \nL 236.971516 180.736725 \nL 238.763598 181.261757 \nL 240.718671 181.597745 \nL 242.839808 181.727662 \nL 245.129799 181.632728 \nL 247.590831 181.292434 \nL 250.224087 180.684629 \nL 253.029298 179.785725 \nL 256.004197 178.571059 \nL 259.143893 177.015445 \nL 262.440158 175.093973 \nL 265.880646 172.78308 \nL 269.447998 170.062003 \nL 273.118959 166.914565 \nL 276.863418 163.331397 \nL 280.643561 159.312524 \nL 284.413104 154.870242 \nL 288.116807 150.032141 \nL 291.690339 144.843993 \nL 295.060694 139.3722 \nL 298.1473 133.70528 \nL 300.863927 127.953918 \nL 303.121571 122.249019 \nL 304.832256 116.737393 \nL 305.913705 111.574901 \nL 306.294565 106.917359 \nL 305.919802 102.909769 \nL 304.755725 99.67515 \nL 302.793971 97.304468 \nL 300.053883 95.849191 \nL 296.582808 95.317659 \nL 292.454159 95.676019 \nL 287.76332 96.853522 \nL 282.621853 98.75115 \nL 277.150739 101.252251 \nL 271.47334 104.233299 \nL 265.708907 107.573507 \nL 259.967188 111.162215 \nL 254.344467 114.903604 \nL 248.92118 118.71896 \nL 243.76095 122.546782 \nL 238.910845 126.34145 \nL 234.402546 130.071011 \nL 230.254073 133.714624 \nL 226.471856 137.260009 \nL 223.052871 140.701185 \nL 219.986723 144.036551 \nL 217.257535 147.267384 \nL 214.845625 150.396696 \nL 212.728909 153.428428 \nL 210.884059 156.366885 \nL 209.287431 159.216398 \nL 207.915765 161.981113 \nL 206.746712 164.664858 \nL 205.759205 167.271139 \nL 204.933703 169.803105 \nL 203.698968 174.655111 \nL 202.920328 179.24027 \nL 202.502561 183.574419 \nL 202.375029 187.670756 \nL 202.488494 191.540403 \nL 202.811904 195.192658 \nL 203.329573 198.634978 \nL 204.038955 201.872755 \nL 204.949089 204.908814 \nL 206.079716 207.742644 \nL 207.461017 210.369246 \nL 209.133915 212.777443 \nL 210.095627 213.893876 \nL 211.150881 214.94744 \nL 212.308242 215.933735 \nL 213.57717 216.847314 \nL 214.96807 217.681473 \nL 216.492344 218.428011 \nL 218.162444 219.076961 \nL 219.991907 219.616237 \nL 221.99539 220.031272 \nL 224.188672 220.304552 \nL 226.588632 220.415097 \nL 229.213187 220.33788 \nL 232.081163 220.043164 \nL 235.212082 219.495787 \nL 238.625848 218.654408 \nL 242.342271 217.470752 \nL 246.38042 215.888919 \nL 250.757711 213.844843 \nL 255.488688 211.266078 \nL 260.583439 208.072071 \nL 266.045515 204.175274 \nL 271.869365 199.483403 \nL 278.03711 193.90335 \nL 284.514749 187.347294 \nL 291.247756 179.741517 \nL 298.156301 171.038414 \nL 305.130352 161.2318 \nL 312.025331 150.374979 \nL 318.659135 138.600226 \nL 324.811707 126.136622 \nL 330.228643 113.321959 \nL 334.630251 100.602825 \nL 337.727177 88.516881 \nL 339.242898 77.653031 \nL 338.941686 68.589833 \nL 336.65877 61.81935 \nL 332.32762 57.671163 \nL 325.998221 56.255899 \nL 317.840977 57.445571 \nL 308.13383 60.898414 \nL 297.234041 66.122345 \nL 285.540239 72.558873 \nL 273.452465 79.664757 \nL 238.197308 100.884751 \nL 217.763859 112.731352 \nL 200.678434 122.217202 \nL 176.007733 135.453597 \nL 157.977682 145.249557 \nL 151.072334 148.920681 \nL 147.340931 150.654216 \nL 144.017433 151.855777 \nL 142.451765 152.260268 \nL 140.92702 152.53388 \nL 139.42988 152.676009 \nL 137.949945 152.685821 \nL 136.479545 152.562515 \nL 135.013547 152.305514 \nL 133.549202 151.914698 \nL 132.086009 151.390628 \nL 130.625588 150.734752 \nL 129.171567 149.949648 \nL 127.729496 149.039247 \nL 124.912179 146.86633 \nL 122.251413 144.282345 \nL 119.846326 141.386606 \nL 117.810133 138.31282 \nL 116.260283 135.225307 \nL 115.702565 133.733779 \nL 115.306002 132.308933 \nL 115.080654 130.974409 \nL 115.034339 129.752842 \nL 115.172229 128.665175 \nL 115.496545 127.73002 \nL 116.006341 126.963066 \nL 116.697368 126.376612 \nL 117.56209 125.979252 \nL 118.589794 125.7757 \nL 119.766822 125.766765 \nL 121.07691 125.949553 \nL 122.501625 126.317751 \nL 124.020849 126.862048 \nL 125.613337 127.57065 \nL 128.930621 129.424419 \nL 132.280762 131.755658 \nL 135.504272 134.434476 \nL 138.465162 137.336281 \nL 141.056224 140.348654 \nL 143.199776 143.373816 \nL 144.845057 146.327982 \nL 145.96365 149.138878 \nL 146.321379 150.47039 \nL 146.544248 151.742589 \nL 146.632707 152.948268 \nL 146.5877 154.080364 \nL 146.41057 155.131881 \nL 146.102992 156.095842 \nL 145.666912 156.96521 \nL 145.104523 157.732861 \nL 144.418262 158.391571 \nL 143.610818 158.933987 \nL 142.685177 159.352656 \nL 141.644682 159.640045 \nL 140.49312 159.78859 \nL 139.234821 159.790803 \nL 137.874775 159.639356 \nL 136.418778 159.327263 \nL 134.873583 158.848065 \nL 133.247057 158.196078 \nL 131.548371 157.366655 \nL 129.788148 156.356545 \nL 127.978638 155.164269 \nL 126.133884 153.790532 \nL 124.269825 152.238679 \nL 122.404377 150.515151 \nL 120.55747 148.62993 \nL 118.751001 146.596982 \nL 117.008688 144.434558 \nL 115.355842 142.165414 \nL 113.819011 139.816883 \nL 112.425484 137.420698 \nL 111.202679 135.01259 \nL 110.177425 132.631603 \nL 109.3751 130.319154 \nL 108.818717 128.117781 \nL 108.527992 126.069727 \nL 108.518407 124.215329 \nL 108.800375 122.591424 \nL 109.378542 121.229805 \nL 110.25131 120.15589 \nL 111.410595 119.387711 \nL 112.841884 118.935327 \nL 114.524612 118.800695 \nL 116.432772 118.977969 \nL 118.535821 119.454274 \nL 120.799742 120.210743 \nL 123.188216 121.223839 \nL 125.663852 122.46674 \nL 128.189352 123.910707 \nL 130.728576 125.526349 \nL 133.247467 127.28469 \nL 135.71475 129.158014 \nL 138.102466 131.120486 \nL 140.386273 133.148499 \nL 142.545581 135.220882 \nL 144.563518 137.318888 \nL 146.426759 139.426118 \nL 148.125259 141.528293 \nL 149.651922 143.613032 \nL 151.002213 145.669578 \nL 152.173778 147.688529 \nL 153.166033 149.661569 \nL 153.979804 151.581229 \nL 154.61698 153.440665 \nL 155.080191 155.23347 \nL 155.372543 156.953492 \nL 155.497391 158.594655 \nL 155.458139 160.150873 \nL 155.258109 161.615877 \nL 154.90041 162.983138 \nL 154.387882 164.245755 \nL 153.723045 165.396368 \nL 152.908102 166.427071 \nL 151.944957 167.329362 \nL 150.835278 168.094069 \nL 149.58057 168.711302 \nL 148.182303 169.170443 \nL 146.642049 169.460138 \nL 144.961659 169.568339 \nL 143.143486 169.482366 \nL 141.190615 169.189062 \nL 139.107156 168.674966 \nL 136.898554 167.926623 \nL 134.571943 166.93093 \nL 132.136525 165.675656 \nL 129.603989 164.150055 \nL 126.988916 162.345617 \nL 124.309209 160.256998 \nL 121.586493 157.883031 \nL 118.846466 155.227888 \nL 116.11914 152.302297 \nL 113.438985 149.124778 \nL 110.844855 145.72273 \nL 108.379721 142.133349 \nL 106.090049 138.404146 \nL 104.024921 134.592943 \nL 102.234739 130.767163 \nL 100.769586 127.002296 \nL 99.677264 123.379524 \nL 99.001061 119.982445 \nL 98.777426 116.893171 \nL 99.033666 114.187973 \nL 99.7859 111.932938 \nL 101.037465 110.180009 \nL 102.777989 108.964008 \nL 104.983213 108.300865 \nL 107.615719 108.187311 \nL 110.626438 108.602159 \nL 113.956886 109.508799 \nL 117.541905 110.858675 \nL 121.312661 112.595333 \nL 125.199636 114.658406 \nL 129.135405 116.987203 \nL 133.056957 119.523773 \nL 136.907532 122.214998 \nL 140.637808 125.013989 \nL 144.206578 127.880658 \nL 147.58088 130.781732 \nL 150.73573 133.690303 \nL 153.653535 136.585148 \nL 156.323298 139.449885 \nL 158.739694 142.272134 \nL 160.902123 145.04266 \nL 162.813744 147.7547 \nL 164.480598 150.403283 \nL 165.910797 152.984758 \nL 167.113809 155.49636 \nL 168.099853 157.935911 \nL 168.879389 160.301529 \nL 169.462705 162.591479 \nL 169.859591 164.803983 \nL 170.079085 166.937125 \nL 170.129292 168.988735 \nL 170.017245 170.956296 \nL 169.74883 172.836879 \nL 169.328732 174.627046 \nL 168.760421 176.322756 \nL 168.046167 177.919276 \nL 167.187053 179.411102 \nL 166.183036 180.791792 \nL 165.033002 182.053898 \nL 163.734843 183.188785 \nL 162.285554 184.186513 \nL 160.681328 185.035661 \nL 158.917712 185.723168 \nL 156.98975 186.234175 \nL 154.892183 186.551842 \nL 152.619674 186.657226 \nL 150.167105 186.529164 \nL 147.529909 186.144228 \nL 144.704502 185.476736 \nL 141.688778 184.498904 \nL 138.482719 183.181169 \nL 135.089108 181.492718 \nL 131.514363 179.402303 \nL 127.769487 176.879451 \nL 123.871138 173.896072 \nL 119.842777 170.42861 \nL 115.715911 166.460701 \nL 111.531242 161.986448 \nL 107.339779 157.014124 \nL 103.203662 151.570217 \nL 99.196548 145.703498 \nL 95.403355 139.488562 \nL 91.919162 133.028325 \nL 88.847001 126.454621 \nL 86.294386 119.926179 \nL 84.36852 113.623253 \nL 83.170329 107.73868 \nL 82.787573 102.465563 \nL 83.287693 97.982605 \nL 84.711141 94.438811 \nL 87.066107 91.939804 \nL 90.325499 90.53807 \nL 94.426834 90.229083 \nL 99.275286 90.953853 \nL 104.7496 92.607763 \nL 110.710188 95.053671 \nL 117.008324 98.137124 \nL 123.495373 101.700933 \nL 130.030906 105.597386 \nL 136.489077 109.696693 \nL 142.762888 113.891581 \nL 148.766325 118.098518 \nL 154.434663 122.256295 \nL 159.723331 126.323095 \nL 164.605844 130.272869 \nL 169.071169 134.091603 \nL 173.12091 137.773978 \nL 176.766572 141.320546 \nL 180.027021 144.735528 \nL 182.926282 148.025198 \nL 185.491671 151.196709 \nL 187.752281 154.257391 \nL 189.737789 157.214263 \nL 191.47755 160.073793 \nL 192.999934 162.841783 \nL 194.331869 165.523358 \nL 196.523264 170.644671 \nL 198.230251 175.467157 \nL 199.600804 180.013274 \nL 201.790106 188.342213 \nL 203.804387 195.729607 \nL 204.906677 199.088 \nL 206.14436 202.225984 \nL 207.569519 205.14063 \nL 209.23663 207.823167 \nL 211.205467 210.256833 \nL 212.323826 211.37219 \nL 213.543791 212.413819 \nL 214.87549 213.375802 \nL 216.329854 214.250883 \nL 217.918679 215.030239 \nL 219.654683 215.703178 \nL 221.55154 216.25681 \nL 223.623905 216.675657 \nL 225.887412 216.94121 \nL 228.358625 217.031417 \nL 231.054946 216.920115 \nL 233.994449 216.576408 \nL 237.195628 215.964004 \nL 240.677016 215.040549 \nL 244.456644 213.756989 \nL 248.551307 212.057046 \nL 252.975571 209.876918 \nL 257.740455 207.145361 \nL 262.851736 203.784385 \nL 268.307821 199.710824 \nL 274.097072 194.839203 \nL 280.194609 189.086293 \nL 286.558615 182.377837 \nL 293.126139 174.657928 \nL 299.808752 165.90118 \nL 306.48837 156.127652 \nL 313.013893 145.419623 \nL 319.199609 133.938446 \nL 324.826417 121.938279 \nL 329.647253 109.772412 \nL 333.397801 97.886905 \nL 335.813156 86.797055 \nL 336.650217 77.04418 \nL 335.713808 69.135474 \nL 332.883154 63.475609 \nL 328.133731 60.304403 \nL 321.549374 59.656986 \nL 313.320846 61.35889 \nL 303.729621 65.05899 \nL 293.119626 70.291567 \nL 281.862294 76.550617 \nL 270.321827 83.357556 \nL 227.025619 109.476105 \nL 209.400212 119.780919 \nL 178.631145 137.590075 \nL 167.226208 144.56553 \nL 152.860392 153.564864 \nL 149.280957 155.380322 \nL 147.580019 156.074943 \nL 145.910454 156.625188 \nL 144.255577 157.028258 \nL 142.601761 157.280741 \nL 140.938254 157.378841 \nL 139.257027 157.3186 \nL 137.552638 157.096114 \nL 135.822151 156.707775 \nL 134.065059 156.150543 \nL 132.283256 155.422258 \nL 130.481018 154.521941 \nL 128.664964 153.45017 \nL 126.844073 152.209448 \nL 125.029641 150.804591 \nL 123.235221 149.243113 \nL 121.476552 147.535618 \nL 119.771402 145.696077 \nL 118.139356 143.742115 \nL 116.601531 141.695117 \nL 115.180206 139.580245 \nL 113.898325 137.426237 \nL 112.778933 135.26503 \nL 111.844511 133.131148 \nL 111.116245 131.060884 \nL 110.613229 129.091273 \nL 110.351681 127.258906 \nL 110.344182 125.598639 \nL 110.598966 124.14229 \nL 111.119369 122.917405 \nL 111.903443 121.94621 \nL 112.943764 121.244782 \nL 114.227495 120.822556 \nL 115.736649 120.682206 \nL 117.448632 120.819842 \nL 119.33694 121.225584 \nL 121.372026 121.884379 \nL 123.522269 122.776995 \nL 125.75495 123.881128 \nL 128.037252 125.172508 \nL 130.337145 126.625938 \nL 132.624156 128.216204 \nL 134.870027 129.918798 \nL 139.138988 133.569746 \nL 142.975974 137.414026 \nL 144.693625 139.365478 \nL 146.262625 141.317142 \nL 147.675257 143.256612 \nL 148.926129 145.172893 \nL 150.011866 147.056224 \nL 150.930774 148.897824 \nL 151.682538 150.689727 \nL 152.267913 152.424556 \nL 152.688456 154.095358 \nL 152.946296 155.69547 \nL 153.043915 157.218339 \nL 152.983985 158.657422 \nL 152.769234 160.006055 \nL 152.402337 161.25738 \nL 151.88587 162.404232 \nL 151.22225 163.439062 \nL 150.413749 164.353888 \nL 149.462516 165.140226 \nL 148.370629 165.789073 \nL 147.140193 166.290873 \nL 145.773436 166.635524 \nL 144.272869 166.812415 \nL 142.641444 166.810509 \nL 140.882768 166.618437 \nL 139.001337 166.22471 \nL 137.002784 165.617909 \nL 134.894193 164.787048 \nL 132.684385 163.721967 \nL 130.384271 162.413831 \nL 128.007179 160.855757 \nL 125.569213 159.043541 \nL 123.089543 156.976477 \nL 120.590705 154.658257 \nL 118.098781 152.097946 \nL 115.64352 149.31091 \nL 113.258276 146.319727 \nL 110.979796 143.154887 \nL 108.847759 139.855253 \nL 106.904082 136.468105 \nL 105.19194 133.048689 \nL 103.754487 129.659193 \nL 102.633358 126.367022 \nL 101.866914 123.242441 \nL 101.488404 120.35568 \nL 101.524111 117.773618 \nL 101.99161 115.556366 \nL 102.898371 113.754013 \nL 104.240776 112.403916 \nL 106.003721 111.528847 \nL 108.160818 111.136091 \nL 110.675315 111.217767 \nL 113.501572 111.752158 \nL 116.587026 112.705976 \nL 119.87448 114.037181 \nL 123.304511 115.69807 \nL 126.817814 117.638331 \nL 130.357338 119.807724 \nL 133.870042 122.158272 \nL 137.308232 124.645834 \nL 140.630464 127.231122 \nL 143.802003 129.880104 \nL 146.794892 132.564062 \nL 149.587705 135.259252 \nL 152.165085 137.946426 \nL 154.51709 140.610208 \nL 156.638458 143.238461 \nL 158.527847 145.821646 \nL 160.187051 148.352293 \nL 161.620292 150.82447 \nL 162.833554 153.233403 \nL 163.833982 155.575092 \nL 164.6294 157.846048 \nL 165.227862 160.043073 \nL 165.637305 162.163067 \nL 165.865275 164.202866 \nL 165.918702 166.159117 \nL 165.803742 168.028178 \nL 165.525664 169.805998 \nL 165.088778 171.488015 \nL 164.496397 173.069074 \nL 163.750828 174.54331 \nL 162.853401 175.904045 \nL 161.804504 177.14366 \nL 160.603651 178.25352 \nL 159.249577 179.223795 \nL 157.740339 180.043381 \nL 156.073458 180.699751 \nL 154.246094 181.178855 \nL 152.255231 181.465002 \nL 150.097921 181.540806 \nL 147.771583 181.387138 \nL 145.274329 180.983183 \nL 142.605381 180.306535 \nL 139.765548 179.33346 \nL 136.757778 178.039297 \nL 133.587805 176.399054 \nL 130.264875 174.388272 \nL 126.802558 171.984207 \nL 123.219623 169.167328 \nL 119.540943 165.923212 \nL 115.798417 162.244845 \nL 112.031809 158.135242 \nL 108.289435 153.610382 \nL 104.628544 148.702161 \nL 101.115354 143.461193 \nL 97.824449 137.959012 \nL 94.837509 132.289207 \nL 92.241143 126.567025 \nL 90.123816 120.926834 \nL 88.57185 115.517273 \nL 87.664627 110.493813 \nL 87.469329 106.009289 \nL 88.035645 102.203056 \nL 89.391001 99.190063 \nL 91.536967 97.051441 \nL 94.447399 95.827934 \nL 98.068655 95.517466 \nL 102.322106 96.077115 \nL 107.108615 97.429237 \nL 112.314565 99.470662 \nL 117.818709 102.083308 \nL 123.499043 105.14467 \nL 129.239014 108.536873 \nL 134.932534 112.153322 \nL 140.487539 115.902847 \nL 145.82802 119.711318 \nL 150.894642 123.52144 \nL 155.644289 127.291175 \nL 160.048736 130.991419 \nL 164.092846 134.603504 \nL 167.772498 138.116714 \nL 171.092463 141.526106 \nL 174.064388 144.830726 \nL 176.704957 148.032201 \nL 179.034306 151.133687 \nL 181.074671 154.139132 \nL 182.849298 157.052766 \nL 184.381582 159.878801 \nL 185.694403 162.621238 \nL 186.809641 165.283768 \nL 187.747841 167.869753 \nL 188.527989 170.382215 \nL 189.681615 175.197127 \nL 190.388245 179.747099 \nL 190.738904 184.047303 \nL 190.800376 188.110324 \nL 190.618344 191.946639 \nL 190.220514 195.564799 \nL 189.619307 198.971323 \nL 188.81393 202.170364 \nL 187.791784 205.163075 \nL 186.529197 207.946634 \nL 184.991534 210.512839 \nL 183.132765 212.846022 \nL 182.065242 213.917584 \nL 180.894528 214.920073 \nL 179.61119 215.847898 \nL 178.204846 216.694191 \nL 176.664123 217.450567 \nL 174.976606 218.106834 \nL 173.128808 218.650676 \nL 171.106141 219.067251 \nL 168.89292 219.338744 \nL 166.472397 219.443848 \nL 163.826824 219.357185 \nL 160.937613 219.048657 \nL 157.785542 218.482746 \nL 154.351102 217.617769 \nL 150.614988 216.405168 \nL 146.558776 214.788862 \nL 142.165858 212.704774 \nL 137.422691 210.080695 \nL 132.320426 206.836693 \nL 126.856978 202.886336 \nL 121.039679 198.139148 \nL 114.888442 192.504718 \nL 108.439578 185.898995 \nL 101.750149 178.253316 \nL 94.902614 169.526463 \nL 88.009538 159.719951 \nL 81.217667 148.895773 \nL 74.710508 137.195157 \nL 68.708262 124.855275 \nL 63.463648 112.219494 \nL 59.252379 99.7355 \nL 56.357045 87.935703 \nL 55.04469 77.396192 \nL 55.539198 68.675202 \nL 57.992193 62.239014 \nL 62.457312 58.389858 \nL 68.873821 57.214533 \nL 77.064367 58.569396 \nL 86.749055 62.108084 \nL 97.573813 67.345018 \nL 109.147545 73.736581 \nL 121.080603 80.758678 \nL 155.775131 101.670332 \nL 175.842388 113.371638 \nL 192.612798 122.790959 \nL 228.70765 142.735512 \nL 241.453792 149.948856 \nL 245.197421 151.78518 \nL 248.565346 153.076977 \nL 250.165163 153.519975 \nL 251.732006 153.826639 \nL 253.279225 153.995522 \nL 254.817239 154.02494 \nL 256.353729 153.913183 \nL 257.89381 153.658751 \nL 259.440165 153.260583 \nL 260.993166 152.718285 \nL 262.550956 152.032395 \nL 264.109564 151.204632 \nL 265.662964 150.238161 \nL 267.203177 149.137849 \nL 268.720369 147.910529 \nL 271.637882 145.113384 \nL 274.305374 141.948399 \nL 275.50584 140.270926 \nL 276.594993 138.558044 \nL 277.555803 136.833469 \nL 278.371633 135.122706 \nL 279.026733 133.4525 \nL 279.506782 131.850218 \nL 279.799426 130.343091 \nL 279.894777 128.957407 \nL 279.785921 127.717664 \nL 279.469278 126.645782 \nL 278.944932 125.760366 \nL 278.216795 125.076076 \nL 277.292633 124.603243 \nL 276.183969 124.347595 \nL 274.905812 124.310263 \nL 273.476267 124.487954 \nL 271.916043 124.873341 \nL 270.247828 125.455574 \nL 268.495688 126.220902 \nL 266.684373 127.153352 \nL 262.982968 129.448791 \nL 259.332776 132.194843 \nL 255.900091 135.246803 \nL 252.819373 138.473143 \nL 250.19028 141.76025 \nL 248.079508 145.012647 \nL 246.525734 148.150282 \nL 245.963691 149.654336 \nL 245.545926 151.104711 \nL 245.272212 152.494004 \nL 245.141719 153.815032 \nL 245.153161 155.060757 \nL 245.304897 156.224177 \nL 245.595031 157.298254 \nL 246.021478 158.275856 \nL 246.582001 159.149682 \nL 247.274222 159.912236 \nL 248.09561 160.555807 \nL 249.043438 161.072448 \nL 250.114723 161.453988 \nL 251.306147 161.692081 \nL 252.61393 161.778276 \nL 254.033712 161.704097 \nL 255.56039 161.461205 \nL 257.187943 161.041575 \nL 258.909245 160.437727 \nL 260.715854 159.643032 \nL 262.597809 158.652052 \nL 264.543397 157.460959 \nL 266.538977 156.068007 \nL 268.568754 154.474056 \nL 270.614675 152.68314 \nL 272.656274 150.703045 \nL 274.67069 148.545855 \nL 276.632694 146.228495 \nL 278.514891 143.773108 \nL 280.288005 141.207299 \nL 281.92137 138.564171 \nL 283.383535 135.882051 \nL 284.64307 133.203889 \nL 285.669477 130.576317 \nL 286.434283 128.048325 \nL 286.912186 125.669618 \nL 287.082203 123.48872 \nL 286.928792 121.550961 \nL 286.442814 119.896463 \nL 285.622298 118.558314 \nL 284.472878 117.561114 \nL 283.00793 116.919959 \nL 281.248283 116.640093 \nL 279.221577 116.717088 \nL 276.961295 117.13762 \nL 274.505502 117.880772 \nL 271.895441 118.919559 \nL 269.174022 120.222759 \nL 266.384375 121.756648 \nL 263.568461 123.486644 \nL 260.76593 125.378689 \nL 258.013202 127.400354 \nL 255.34278 129.521634 \nL 252.78284 131.715407 \nL 250.35706 133.957635 \nL 248.084665 136.227383 \nL 245.980619 138.506637 \nL 244.055963 140.780044 \nL 242.31823 143.034602 \nL 240.771917 145.259275 \nL 239.418968 147.444675 \nL 238.259255 149.58271 \nL 237.291037 151.666317 \nL 236.511384 153.689165 \nL 235.916557 155.645433 \nL 235.50233 157.529615 \nL 235.264266 159.336334 \nL 235.197959 161.060202 \nL 235.299203 162.695672 \nL 235.564128 164.236922 \nL 235.989312 165.677758 \nL 236.571825 167.011482 \nL 237.309258 168.230836 \nL 238.19972 169.327864 \nL 239.241788 170.293876 \nL 240.434456 171.119341 \nL 241.777024 171.793828 \nL 243.268974 172.305967 \nL 244.909812 172.643411 \nL 246.698879 172.792841 \nL 248.63511 172.74003 \nL 250.71678 172.469915 \nL 252.941177 171.966788 \nL 255.30426 171.214539 \nL 257.800255 170.197061 \nL 260.421209 168.89872 \nL 263.156497 167.305041 \nL 265.992322 165.403533 \nL 268.911171 163.184724 \nL 271.891294 160.643372 \nL 274.906206 157.779868 \nL 277.924288 154.601761 \nL 280.908483 151.125364 \nL 283.816245 147.377312 \nL 286.599691 143.395915 \nL 289.206142 139.232131 \nL 291.579056 134.949933 \nL 293.65941 130.625826 \nL 295.387589 126.347288 \nL 296.705745 122.210113 \nL 297.560496 118.314477 \nL 297.9059 114.760046 \nL 297.706447 111.640375 \nL 296.939767 109.037089 \nL 295.598856 107.014607 \nL 293.693441 105.616005 \nL 291.250357 104.860447 \nL 288.31278 104.742791 \nL 284.938345 105.235179 \nL 281.196327 106.290501 \nL 277.16413 107.847094 \nL 272.923426 109.834124 \nL 268.556349 112.176911 \nL 264.14198 114.801658 \nL 259.753479 117.639148 \nL 255.455901 120.627335 \nL 251.304816 123.712755 \nL 247.345673 126.851002 \nL 243.61379 130.006405 \nL 240.134851 133.151222 \nL 236.925786 136.264554 \nL 233.99584 139.331166 \nL 231.347794 142.340305 \nL 228.979161 145.284685 \nL 226.883359 148.159574 \nL 225.050783 150.962063 \nL 223.469743 153.690492 \nL 222.127283 156.343994 \nL 221.00986 158.922176 \nL 220.103899 161.424868 \nL 219.396233 163.851961 \nL 218.874441 166.203266 \nL 218.527098 168.478434 \nL 218.343953 170.676871 \nL 218.316051 172.797691 \nL 218.435799 174.839661 \nL 218.697004 176.801128 \nL 219.094873 178.679992 \nL 219.626004 180.473614 \nL 220.288344 182.178744 \nL 221.081159 183.791433 \nL 222.004975 185.306942 \nL 223.061525 186.719602 \nL 224.253686 188.0227 \nL 225.585409 189.208313 \nL 227.061649 190.267145 \nL 228.688272 191.188327 \nL 230.471952 191.959225 \nL 232.42005 192.565204 \nL 234.540466 192.9894 \nL 236.841444 193.212482 \nL 239.331332 193.212418 \nL 242.018292 192.964284 \nL 244.909926 192.440108 \nL 248.012793 191.608817 \nL 251.33184 190.436313 \nL 254.869692 188.885728 \nL 258.625776 186.918006 \nL 262.595299 184.492802 \nL 266.768025 181.569901 \nL 271.126905 178.111212 \nL 275.646513 174.083523 \nL 280.291424 169.462019 \nL 285.014505 164.234718 \nL 289.755352 158.40762 \nL 294.439033 152.010492 \nL 298.975361 145.10273 \nL 303.259051 137.778658 \nL 307.171132 130.171247 \nL 310.581857 122.453073 \nL 313.355551 114.833161 \nL 315.357342 107.548778 \nL 316.461667 100.851615 \nL 316.562024 94.988929 \nL 315.580991 90.181616 \nL 313.479232 86.602081 \nL 310.262083 84.355896 \nL 305.982434 83.470803 \nL 300.739087 83.895556 \nL 294.670485 85.508994 \nL 287.944621 88.137434 \nL 280.746533 91.57678 \nL 273.265152 95.615072 \nL 265.68126 100.051755 \nL 258.157818 104.711425 \nL 250.833419 109.451273 \nL 243.818904 114.162955 \nL 237.196773 118.770316 \nL 231.022754 123.224656 \nL 225.32875 127.49899 \nL 220.126567 131.582307 \nL 215.41182 135.474573 \nL 211.16771 139.182647 \nL 207.36841 142.717191 \nL 203.981965 146.090536 \nL 200.972685 149.315199 \nL 198.303031 152.403027 \nL 195.935072 155.364698 \nL 193.831548 158.20954 \nL 190.276383 163.579029 \nL 187.375438 168.559464 \nL 182.669594 177.460817 \nL 180.516576 181.402992 \nL 178.310351 185.001759 \nL 175.935181 188.239689 \nL 174.651395 189.7143 \nL 173.286904 191.085913 \nL 171.829605 192.34802 \nL 170.26751 193.492765 \nL 168.588645 194.51078 \nL 166.780987 195.390959 \nL 164.832425 196.120223 \nL 162.730756 196.683267 \nL 160.463741 197.062288 \nL 158.019186 197.236695 \nL 155.385118 197.182824 \nL 152.550017 196.873671 \nL 149.503147 196.278682 \nL 146.235009 195.363609 \nL 142.737926 194.090537 \nL 139.006777 192.418093 \nL 135.039927 190.301975 \nL 130.840359 187.695902 \nL 126.417027 184.553136 \nL 121.786424 180.828664 \nL 116.974376 176.482321 \nL 112.017994 171.482859 \nL 106.967685 165.813139 \nL 101.889085 159.476293 \nL 96.864656 152.502752 \nL 91.994708 144.957444 \nL 87.397339 136.946495 \nL 83.206968 128.621963 \nL 79.570903 120.183206 \nL 76.643676 111.873115 \nL 74.578904 103.967848 \nL 73.518997 96.759439 \nL 73.583321 90.53213 \nL 74.85611 85.53488 \nL 77.375763 81.954256 \nL 81.127365 79.892851 \nL 86.040057 79.357897 \nL 91.990105 80.262801 \nL 98.809668 82.441606 \nL 106.299966 85.673061 \nL 114.246906 89.709191 \nL 122.436816 94.302588 \nL 130.670189 99.228203 \nL 138.771993 104.297207 \nL 146.597982 109.362926 \nL 161.011191 119.100747 \nL 167.471351 123.665671 \nL 173.394526 127.998466 \nL 178.778438 132.097978 \nL 183.636999 135.972773 \nL 187.996058 139.636835 \nL 191.889715 143.106484 \nL 195.357272 146.398348 \nL 198.440816 149.528078 \nL 201.183363 152.509696 \nL 203.627483 155.355278 \nL 207.783023 160.676755 \nL 211.209898 165.551312 \nL 218.204499 175.954328 \nL 220.88138 179.40432 \nL 222.271349 180.967134 \nL 223.717154 182.415441 \nL 225.233623 183.742979 \nL 226.834753 184.942174 \nL 228.53386 186.004022 \nL 230.343669 186.91792 \nL 232.276385 187.671513 \nL 234.34372 188.250496 \nL 236.556861 188.638461 \nL 238.926378 188.816714 \nL 241.462091 188.764124 \nL 244.17283 188.457026 \nL 247.066136 187.869185 \nL 250.147832 186.971863 \nL 253.421506 185.734043 \nL 256.88785 184.122869 \nL 260.543873 182.104361 \nL 264.381947 179.644523 \nL 268.388743 176.710857 \nL 272.544006 173.274456 \nL 276.819242 169.312699 \nL 281.1764 164.812594 \nL 285.566558 159.774745 \nL 289.92885 154.217821 \nL 294.189777 148.183189 \nL 298.263064 141.73935 \nL 302.050472 134.985427 \nL 305.443658 128.052886 \nL 308.327475 121.104585 \nL 310.584731 114.330272 \nL 312.102424 107.937892 \nL 312.779173 102.140833 \nL 312.533269 97.141882 \nL 311.310517 93.115656 \nL 309.090802 90.192083 \nL 305.892398 88.443698 \nL 301.773069 87.879216 \nL 296.827605 88.444736 \nL 291.181901 90.032373 \nL 284.984273 92.494585 \nL 278.395222 95.661535 \nL 271.576933 99.358231 \nL 264.683827 103.419109 \nL 257.855013 107.698344 \nL 251.209176 112.075612 \nL 244.841913 116.457662 \nL 238.825214 120.776893 \nL 233.208646 124.987864 \nL 228.021659 129.063097 \nL 223.276524 132.988687 \nL 218.971502 136.760413 \nL 215.093922 140.380471 \nL 211.623014 143.854945 \nL 208.53237 147.191954 \nL 205.792006 150.400398 \nL 203.370031 153.489119 \nL 201.233943 156.466406 \nL 199.351616 159.339772 \nL 197.692009 162.11583 \nL 194.924917 167.398188 \nL 192.720137 172.35003 \nL 190.897715 176.997498 \nL 185.600132 191.075519 \nL 183.981891 194.494148 \nL 182.169439 197.636365 \nL 180.0894 200.485041 \nL 178.925651 201.790896 \nL 177.666379 203.011513 \nL 176.301285 204.140835 \nL 174.819549 205.171499 \nL 173.209769 206.094597 \nL 171.459904 206.899431 \nL 169.557243 207.573224 \nL 167.488398 208.10077 \nL 165.239329 208.464066 \nL 162.795409 208.641897 \nL 160.141559 208.609377 \nL 157.262421 208.337476 \nL 154.142667 207.792528 \nL 150.767383 206.935789 \nL 147.122628 205.723064 \nL 143.196166 204.104473 \nL 138.978418 202.024491 \nL 134.463689 199.422371 \nL 129.651714 196.233159 \nL 124.549532 192.389505 \nL 119.173785 187.824594 \nL 113.553346 182.476447 \nL 107.732332 176.293942 \nL 101.773283 169.244698 \nL 95.760353 161.324939 \nL 89.802116 152.570948 \nL 84.033497 143.071262 \nL 78.616083 132.97811 \nL 73.736042 122.515611 \nL 69.59878 111.981801 \nL 66.419659 101.74098 \nL 64.410475 92.203893 \nL 63.762297 83.79475 \nL 64.625943 76.907582 \nL 67.09289 71.858151 \nL 71.179758 68.840715 \nL 76.819843 67.900071 \nL 83.864132 68.92668 \nL 92.092539 71.676826 \nL 101.233802 75.813082 \nL 110.990495 80.95481 \nL 121.064801 86.726918 \nL 131.180894 92.797598 \nL 150.63543 104.841504 \nL 175.749477 120.698289 \nL 189.130062 129.384747 \nL 199.924658 136.734586 \nL 208.495842 143.001202 \nL 215.285965 148.405079 \nL 220.734089 153.104021 \nL 230.930272 162.293061 \nL 234.404241 165.005909 \nL 236.122562 166.148693 \nL 237.856344 167.142166 \nL 239.623304 167.979596 \nL 241.438805 168.653079 \nL 243.316001 169.153577 \nL 245.265922 169.471005 \nL 247.297527 169.594336 \nL 249.41769 169.511707 \nL 251.631146 169.2106 \nL 253.940358 168.678097 \nL 256.345362 167.901171 \nL 258.843526 166.867141 \nL 261.429288 165.564213 \nL 264.093823 163.982125 \nL 266.82472 162.112988 \nL 269.60564 159.952257 \nL 272.415943 157.499814 \nL 275.230447 154.761182 \nL 278.019215 151.748793 \nL 280.747481 148.483266 \nL 283.375816 144.994521 \nL 285.860476 141.322665 \nL 288.154113 137.518431 \nL 290.206791 133.643074 \nL 291.9674 129.767487 \nL 293.385427 125.970436 \nL 294.413077 122.335929 \nL 295.007578 118.949675 \nL 295.133647 115.894899 \nL 294.765814 113.247805 \nL 293.890445 111.073136 \nL 292.507291 109.420281 \nL 290.630265 108.32042 \nL 288.287446 107.78499 \nL 285.520114 107.805873 \nL 282.381014 108.356961 \nL 278.931905 109.397101 \nL 275.240645 110.87389 \nL 271.378071 112.72788 \nL 267.414937 114.896661 \nL 263.419166 117.318468 \nL 259.453586 119.935089 \nL 255.574201 122.693821 \nL 251.829113 125.548662 \nL 248.258003 128.460722 \nL 244.892114 131.398047 \nL 241.75464 134.335108 \nL 238.861402 137.251976 \nL 236.221716 140.133452 \nL 233.839362 142.968184 \nL 231.713576 145.747833 \nL 229.840012 148.466357 \nL 228.211628 151.119399 \nL 226.819498 153.703801 \nL 225.653508 156.217191 \nL 224.702947 158.657711 \nL 223.956993 161.023738 \nL 223.405116 163.313739 \nL 223.037385 165.526124 \nL 222.844699 167.659104 \nL 222.818962 169.710647 \nL 222.953195 171.678343 \nL 223.24162 173.559369 \nL 223.679685 175.35037 \nL 224.264083 177.04739 \nL 224.992736 178.645783 \nL 225.864758 180.140094 \nL 226.880411 181.523966 \nL 228.041042 182.789987 \nL 229.349003 183.929571 \nL 230.807563 184.932796 \nL 232.420796 185.788242 \nL 234.193451 186.482828 \nL 236.1308 187.001622 \nL 238.238444 187.327696 \nL 240.522084 187.441947 \nL 242.987234 187.32299 \nL 245.638885 186.947083 \nL 248.481092 186.288118 \nL 251.516451 185.317783 \nL 254.745508 184.005827 \nL 258.16603 182.320584 \nL 261.772167 180.229786 \nL 265.55347 177.701726 \nL 269.493819 174.706892 \nL 273.570208 171.220113 \nL 277.751503 167.223289 \nL 281.997174 162.708709 \nL 286.256152 157.682875 \nL 290.46595 152.170738 \nL 294.552135 146.219934 \nL 298.428548 139.904618 \nL 301.998318 133.328207 \nL 305.15605 126.624236 \nL 307.791292 119.954525 \nL 309.793439 113.503879 \nL 311.057826 107.470965 \nL 311.492895 102.055668 \nL 311.027617 97.443789 \nL 309.618561 93.791002 \nL 307.255489 91.208327 \nL 303.964645 89.751689 \nL 299.809002 89.417564 \nL 294.885248 90.145535 \nL 289.31766 91.827373 \nL 283.249732 94.320816 \nL 276.834528 97.465522 \nL 270.225118 101.098464 \nL 263.566057 105.066704 \nL 256.986731 109.236233 \nL 250.596955 113.496765 \nL 244.484768 117.762828 \nL 238.716165 121.972267 \nL 233.3363 126.083062 \nL 228.371699 130.069462 \nL 223.833011 133.918065 \nL 219.717932 137.624326 \nL 216.014068 141.189607 \nL 212.70154 144.618903 \nL 209.755263 147.919192 \nL 207.146861 151.098244 \nL 204.84621 154.163887 \nL 202.82265 157.12355 \nL 201.045907 159.984024 \nL 199.486752 162.751351 \nL 196.912111 168.027123 \nL 194.899274 172.98539 \nL 193.280102 177.651919 \nL 191.294163 184.145411 \nL 188.934602 191.923463 \nL 187.699456 195.451705 \nL 186.339798 198.741974 \nL 184.795124 201.790087 \nL 183.004411 204.585241 \nL 181.996737 205.882212 \nL 180.902733 207.107672 \nL 179.713178 208.257204 \nL 178.418252 209.325349 \nL 177.007453 210.305411 \nL 175.469539 211.18924 \nL 173.792466 211.966975 \nL 171.963341 212.62674 \nL 169.968408 213.154307 \nL 167.793038 213.532687 \nL 165.421771 213.741685 \nL 162.838399 213.757402 \nL 160.026098 213.551672 \nL 156.967673 213.091484 \nL 153.645873 212.338406 \nL 150.043876 211.247995 \nL 146.145925 209.769342 \nL 141.938209 207.844781 \nL 137.409994 205.40992 \nL 132.555109 202.394169 \nL 127.373795 198.722015 \nL 121.875027 194.315346 \nL 116.07927 189.097177 \nL 110.021731 182.997207 \nL 103.756034 175.959562 \nL 97.358057 167.952978 \nL 90.929781 158.983411 \nL 84.602482 149.108516 \nL 78.538687 138.452677 \nL 72.931852 127.220263 \nL 68.002774 115.703703 \nL 63.991626 104.28206 \nL 61.144806 93.405973 \nL 59.696721 83.565992 \nL 59.847449 75.245009 \nL 61.738828 68.859913 \nL 65.432856 64.703098 \nL 70.896744 62.897409 \nL 77.998668 63.377049 \nL 86.516253 65.900923 \nL 96.157068 70.095674 \nL 106.587462 75.516894 \nL 117.464214 81.712802 \nL 128.463433 88.276329 \nL 208.847971 137.345625 \nL 217.168805 142.833093 \nL 223.757246 147.44173 \nL 237.372376 157.276537 \nL 240.94077 159.38335 \nL 242.674754 160.216568 \nL 244.402364 160.897939 \nL 246.140108 161.422443 \nL 247.901681 161.78425 \nL 249.698111 161.976909 \nL 251.537868 161.99352 \nL 253.426939 161.826951 \nL 255.368853 161.470063 \nL 257.364675 160.915997 \nL 259.412962 160.158507 \nL 261.509687 159.19235 \nL 263.648146 158.013749 \nL 265.818847 156.620891 \nL 268.009422 155.014524 \nL 270.204531 153.198555 \nL 272.385817 151.180694 \nL 274.531943 148.973101 \nL 276.618659 146.592939 \nL 278.619046 144.062888 \nL 280.503859 141.411421 \nL 282.242017 138.672908 \nL 283.801308 135.88737 \nL 285.149195 133.0999 \nL 286.253892 130.359702 \nL 287.085464 127.718693 \nL 287.617112 125.229744 \nL 287.826438 122.944661 \nL 287.696669 120.911968 \nL 287.21775 119.174714 \nL 286.387187 117.768461 \nL 285.210576 116.719658 \nL 283.701763 116.044533 \nL 281.882562 115.748685 \nL 279.782092 115.82723 \nL 277.435724 116.265717 \nL 274.883746 117.041529 \nL 272.169804 118.125613 \nL 269.339308 119.484415 \nL 266.437817 121.081855 \nL 263.509597 122.881085 \nL 260.596352 124.845991 \nL 257.736262 126.942388 \nL 254.96325 129.138825 \nL 252.306575 131.407058 \nL 249.790668 133.722257 \nL 247.435186 136.062959 \nL 245.255261 138.41086 \nL 243.261865 140.750515 \nL 241.462281 143.068956 \nL 239.860606 145.355307 \nL 238.458291 147.600411 \nL 237.254648 149.796456 \nL 236.247345 151.936687 \nL 235.432862 154.015095 \nL 234.806874 156.026191 \nL 234.364606 157.964793 \nL 234.101133 159.825854 \nL 234.011597 161.604295 \nL 234.091416 163.294873 \nL 234.336414 164.892075 \nL 234.742934 166.389985 \nL 235.307889 167.78218 \nL 236.028791 169.061646 \nL 236.903754 170.220667 \nL 237.931454 171.25074 \nL 239.11106 172.142505 \nL 240.442152 172.885631 \nL 241.924589 173.468791 \nL 243.558357 173.879588 \nL 245.343386 174.104551 \nL 247.279325 174.129144 \nL 249.365275 173.937837 \nL 251.599484 173.514242 \nL 253.978992 172.841312 \nL 256.499229 171.901697 \nL 259.153564 170.678182 \nL 261.93279 169.154317 \nL 264.824606 167.31521 \nL 267.813009 165.148549 \nL 270.877732 162.645814 \nL 273.993683 159.803703 \nL 277.130418 156.625767 \nL 280.25176 153.124147 \nL 283.315565 149.32136 \nL 286.273759 145.251922 \nL 289.072695 140.963709 \nL 291.65395 136.518696 \nL 293.955595 131.992942 \nL 295.91399 127.475452 \nL 297.46613 123.065763 \nL 298.552493 118.87022 \nL 299.120189 114.996922 \nL 299.126255 111.549781 \nL 298.540854 108.622021 \nL 297.349934 106.290041 \nL 295.557159 104.608219 \nL 293.184753 103.605369 \nL 290.273086 103.283515 \nL 286.879034 103.618984 \nL 283.073156 104.565671 \nL 278.936038 106.060041 \nL 274.554099 108.026989 \nL 270.015345 110.385927 \nL 265.405382 113.056269 \nL 260.804063 115.961836 \nL 256.282881 119.03404 \nL 251.903278 122.213696 \nL 247.715778 125.451668 \nL 243.75985 128.708626 \nL 240.064386 131.954181 \nL 236.648595 135.165688 \nL 233.523174 138.326878 \nL 230.691613 141.426542 \nL 228.151534 144.457355 \nL 225.895969 147.414831 \nL 223.914547 150.296494 \nL 222.194537 153.101239 \nL 220.721746 155.828817 \nL 219.481276 158.479493 \nL 218.458128 161.053752 \nL 217.63769 163.552147 \nL 217.006103 165.975172 \nL 216.550537 168.32315 \nL 216.259383 170.596183 \nL 216.122384 172.794126 \nL 216.130702 174.916512 \nL 216.276963 176.96254 \nL 216.555257 178.931002 \nL 216.961117 180.820257 \nL 217.491491 182.628175 \nL 218.1447 184.352043 \nL 218.920384 185.9885 \nL 219.819454 187.533444 \nL 220.844035 188.981904 \nL 221.997415 190.327929 \nL 223.283978 191.564422 \nL 224.709148 192.682979 \nL 226.279316 193.67369 \nL 228.001762 194.524932 \nL 229.884564 195.223127 \nL 231.936464 195.752498 \nL 234.166738 196.094779 \nL 236.584981 196.228964 \nL 239.20088 196.131022 \nL 242.023884 195.773657 \nL 245.062807 195.126133 \nL 248.325311 194.154181 \nL 251.817272 192.82007 \nL 255.541983 191.082897 \nL 259.49918 188.899207 \nL 263.683876 186.22404 \nL 268.084998 183.012558 \nL 272.683777 179.222374 \nL 277.452004 174.816778 \nL 282.350122 169.76887 \nL 287.325302 164.066788 \nL 292.30965 157.719781 \nL 297.2188 150.765004 \nL 301.95117 143.27432 \nL 306.388325 135.360279 \nL 310.396781 127.18003 \nL 313.831786 118.935583 \nL 316.543272 110.868954 \nL 318.384083 103.250974 \nL 319.220204 96.363398 \nL 318.942202 90.475523 \nL 317.476587 85.817913 \nL 314.795552 82.557338 \nL 310.923318 80.777791 \nL 305.937689 80.471731 \nL 299.966122 81.543663 \nL 293.176602 83.825453 \nL 285.764578 87.100034 \nL 277.937937 91.128506 \nL 269.902167 95.675389 \nL 261.847667 100.528331 \nL 253.940404 105.510247 \nL 246.316328 110.48418 \nL 239.079403 115.352287 \nL 232.302489 120.051016 \nL 226.030232 124.544407 \nL 220.283112 128.817116 \nL 215.061922 132.868062 \nL 210.352192 136.705194 \nL 206.128227 140.341505 \nL 202.356585 143.792186 \nL 198.998959 147.072724 \nL 196.014464 150.197748 \nL 193.361397 153.18037 \nL 190.998533 156.031943 \nL 186.986115 161.378269 \nL 183.684674 166.292754 \nL 175.712331 178.684272 \nL 173.09905 182.027408 \nL 171.72071 183.539104 \nL 170.274863 184.937213 \nL 168.74769 186.214969 \nL 167.125964 187.364262 \nL 165.396932 188.375469 \nL 163.548231 189.237272 \nL 161.56785 189.936475 \nL 159.44412 190.457813 \nL 157.165769 190.783743 \nL 154.722033 190.894245 \nL 152.102828 190.766651 \nL 149.299008 190.375516 \nL 146.302726 189.692574 \nL 143.107886 188.686805 \nL 139.710729 187.324658 \nL 136.110571 185.570538 \nL 132.310668 183.387589 \nL 128.319272 180.738921 \nL 124.150823 177.589296 \nL 119.827301 173.907492 \nL 115.379682 169.669315 \nL 110.849435 164.861406 \nL 106.289935 159.485696 \nL 101.767642 153.564447 \nL 97.362865 147.145465 \nL 93.169802 140.306973 \nL 89.295558 133.16134 \nL 85.857877 125.856679 \nL 82.981287 118.575189 \nL 80.791538 111.527315 \nL 79.408415 104.941084 \nL 78.937314 99.046879 \nL 79.460249 94.058785 \nL 81.02735 90.154827 \nL 83.650044 87.459109 \nL 87.297105 86.029208 \nL 91.894465 85.851356 \nL 97.329115 86.844522 \nL 103.456747 88.872603 \nL 110.112116 91.762257 \nL 117.120698 95.322815 \nL 124.310111 99.365005 \nL 131.519921 103.715654 \nL 138.609016 108.227239 \nL 145.460145 112.782223 \nL 151.981797 117.293093 \nL 158.107868 121.699361 \nL 163.795683 125.963109 \nL 169.023032 130.063897 \nL 173.784748 133.994014 \nL 178.089204 137.754371 \nL 181.955023 141.351223 \nL 185.408175 144.793777 \nL 188.479498 148.092441 \nL 191.202675 151.257724 \nL 193.61264 154.299557 \nL 195.744364 157.226934 \nL 197.631964 160.047753 \nL 200.803483 165.395755 \nL 203.364603 170.385704 \nL 206.496855 177.258533 \nL 210.166539 185.350282 \nL 212.059317 188.941568 \nL 214.124053 192.217366 \nL 215.249002 193.730535 \nL 216.450194 195.15556 \nL 217.73848 196.487518 \nL 219.124823 197.720373 \nL 220.620401 198.846801 \nL 222.236689 199.857991 \nL 223.985522 200.743416 \nL 225.879135 201.490576 \nL 227.930165 202.084706 \nL 230.151632 202.508454 \nL 232.556852 202.741526 \nL 235.159322 202.760329 \nL 237.972506 202.537583 \nL 241.009541 202.041978 \nL 244.282846 201.237855 \nL 247.803577 200.085004 \nL 251.580922 198.538631 \nL 255.621195 196.549558 \nL 259.926719 194.064847 \nL 264.494413 191.028937 \nL 269.314119 187.385528 \nL 274.366619 183.080389 \nL 279.621386 178.065328 \nL 285.034121 172.303559 \nL 290.54418 165.776436 \nL 296.072163 158.491662 \nL 301.517891 150.492422 \nL 306.759305 141.866783 \nL 311.652752 132.756015 \nL 316.035334 123.359892 \nL 319.7299 113.936835 \nL 322.553124 104.796403 \nL 324.326798 96.282539 \nL 324.891734 88.747256 \nL 324.123205 82.516815 \nL 321.945915 77.854983 \nL 318.34595 74.930202 \nL 313.37745 73.793817 \nL 307.162018 74.374978 \nL 299.880431 76.493892 \nL 291.757619 79.890468 \nL 283.043417 84.26149 \nL 273.992181 89.298292 \nL 264.844366 94.717725 \nL 255.812368 100.282452 \nL 238.756906 111.172121 \nL 223.748044 121.117638 \nL 211.138958 129.874743 \nL 205.72967 133.823497 \nL 200.880405 137.512721 \nL 196.550664 140.965981 \nL 192.69422 144.206277 \nL 189.261973 147.254602 \nL 183.471646 152.845471 \nL 178.797265 157.849793 \nL 166.717312 171.438829 \nL 165.134664 172.888873 \nL 163.519311 174.205842 \nL 161.853674 175.38303 \nL 160.121833 176.412363 \nL 158.309361 177.28436 \nL 156.403234 177.988086 \nL 154.391741 178.511057 \nL 152.2645 178.839208 \nL 150.012487 178.956872 \nL 147.62815 178.84679 \nL 145.105585 178.490175 \nL 142.440797 177.866882 \nL 139.632018 176.955681 \nL 136.680148 175.734668 \nL 133.589231 174.181861 \nL 130.367059 172.276047 \nL 127.025836 169.997866 \nL 123.582884 167.331209 \nL 120.061415 164.264945 \nL 116.491249 160.794981 \nL 112.909498 156.92655 \nL 109.361065 152.676767 \nL 105.898929 148.077124 \nL 102.58401 143.175821 \nL 99.484567 138.039548 \nL 96.674939 132.754271 \nL 94.233584 127.424743 \nL 92.240301 122.172151 \nL 90.772677 117.12986 \nL 89.901933 112.436985 \nL 89.688338 108.230336 \nL 90.176644 104.635212 \nL 91.391972 101.756127 \nL 93.336703 99.668716 \nL 95.988772 98.41403 \nL 99.301772 97.996034 \nL 103.206923 98.382867 \nL 107.616788 99.511525 \nL 112.430299 101.295242 \nL 117.538622 103.632259 \nL 122.831105 106.414827 \nL 128.200801 109.537119 \nL 133.549054 112.90141 \nL 138.788894 116.422176 \nL 143.847142 120.028108 \nL 148.66529 123.662428 \nL 153.199377 127.281959 \nL 157.419067 130.855418 \nL 161.306212 134.361377 \nL 164.853118 137.78618 \nL 168.060706 141.122006 \nL 170.936709 144.365246 \nL 173.493985 147.515169 \nL 175.749042 150.572898 \nL 177.720749 153.540662 \nL 179.429271 156.421253 \nL 180.895218 159.217666 \nL 182.138963 161.932888 \nL 183.180134 164.569745 \nL 184.037249 167.130848 \nL 184.727452 169.618538 \nL 185.266363 172.034908 \nL 185.667979 174.381788 \nL 186.107089 178.873247 \nL 186.124179 183.102982 \nL 185.774129 187.077579 \nL 185.08958 190.800017 \nL 184.083301 194.269045 \nL 182.750204 197.478089 \nL 181.955001 198.981203 \nL 181.068818 200.413546 \nL 180.086556 201.771911 \nL 179.002172 203.052283 \nL 177.808681 204.249704 \nL 176.498149 205.3581 \nL 175.061695 206.370103 \nL 173.489477 207.276815 \nL 171.770701 208.067548 \nL 169.893631 208.729534 \nL 167.845621 209.247575 \nL 165.613162 209.603654 \nL 163.181983 209.776516 \nL 160.537178 209.741188 \nL 157.663432 209.468495 \nL 154.545293 208.924542 \nL 151.167606 208.070233 \nL 147.516045 206.860865 \nL 143.577861 205.245849 \nL 139.342843 203.168696 \nL 134.804555 200.567385 \nL 129.961881 197.375305 \nL 124.820952 193.52303 \nL 119.397472 188.941194 \nL 113.719413 183.564769 \nL 107.830102 177.339153 \nL 101.791558 170.228181 \nL 95.687817 162.224218 \nL 89.627935 153.360027 \nL 83.74814 143.721547 \nL 78.212369 133.460031 \nL 73.210362 122.801103 \nL 68.952437 112.047513 \nL 65.660168 101.572028 \nL 63.552577 91.797504 \nL 62.828421 83.163143 \nL 63.645919 76.079129 \nL 66.102675 70.876064 \nL 70.219229 67.759116 \nL 75.929787 66.777932 \nL 83.082962 67.820692 \nL 91.45321 70.63495 \nL 100.761473 74.86997 \nL 110.701293 80.129931 \nL 120.965764 86.025328 \nL 131.270892 92.21259 \nL 151.075825 104.44034 \nL 176.602471 120.420065 \nL 190.180107 129.10271 \nL 201.12144 136.40236 \nL 209.801942 142.587843 \nL 216.675051 147.889919 \nL 222.188133 152.472449 \nL 232.498894 161.32345 \nL 236.004391 163.884451 \nL 237.735223 164.947873 \nL 239.478981 165.85978 \nL 241.252977 166.613561 \nL 243.072068 167.201504 \nL 244.948787 167.614888 \nL 246.893434 167.844071 \nL 248.914132 167.87862 \nL 251.01679 167.707465 \nL 253.205067 167.319133 \nL 255.480249 166.70201 \nL 257.841084 165.844701 \nL 260.28358 164.736501 \nL 262.80075 163.367955 \nL 265.382346 161.731549 \nL 268.014563 159.822535 \nL 270.679757 157.639841 \nL 273.356196 155.187126 \nL 276.017887 152.473844 \nL 278.634484 149.516368 \nL 281.171373 146.33901 \nL 283.589942 142.974864 \nL 285.848093 139.466343 \nL 287.901043 135.86527 \nL 289.702448 132.23238 \nL 291.205847 128.636132 \nL 292.366383 125.150731 \nL 293.142798 121.853429 \nL 293.499523 118.821127 \nL 293.408789 116.126601 \nL 292.852581 113.834566 \nL 291.824195 111.998003 \nL 290.32928 110.655157 \nL 288.38624 109.827589 \nL 286.025853 109.519419 \nL 283.29014 109.717865 \nL 280.230589 110.395152 \nL 276.90582 111.511232 \nL 273.378959 113.017227 \nL 269.714898 114.858997 \nL 265.977711 116.980583 \nL 262.228315 119.327105 \nL 258.522656 121.847115 \nL 254.910316 124.494115 \nL 251.433702 127.227454 \nL 248.127677 130.012592 \nL 245.019624 132.820953 \nL 242.12984 135.629432 \nL 239.472164 138.419719 \nL 237.054743 141.177549 \nL 234.880896 143.89198 \nL 232.949992 146.55468 \nL 231.258274 149.159319 \nL 229.799657 151.701062 \nL 228.566427 154.176115 \nL 227.549851 156.581414 \nL 226.740701 158.914313 \nL 226.129688 161.172386 \nL 225.70781 163.353258 \nL 225.466625 165.454455 \nL 225.398465 167.473295 \nL 225.496582 169.406774 \nL 225.755254 171.25148 \nL 226.169851 173.003498 \nL 226.736861 174.658319 \nL 227.453891 176.210734 \nL 228.319645 177.654744 \nL 229.333883 178.983431 \nL 230.497361 180.188829 \nL 231.811741 181.261825 \nL 233.279502 182.191977 \nL 234.903814 182.967414 \nL 236.688389 183.574649 \nL 238.637309 183.998474 \nL 240.754814 184.221811 \nL 243.04504 184.225623 \nL 245.511709 183.988875 \nL 248.157769 183.488548 \nL 250.984931 182.699725 \nL 253.99316 181.595898 \nL 257.180031 180.149369 \nL 260.540021 178.331937 \nL 264.063682 176.115868 \nL 267.736705 173.475242 \nL 271.538929 170.387695 \nL 275.443253 166.836642 \nL 279.4146 162.813974 \nL 283.408922 158.32317 \nL 287.372413 153.382756 \nL 291.241023 148.029835 \nL 294.940479 142.323371 \nL 298.387017 136.346723 \nL 301.488948 130.208834 \nL 304.149289 124.043433 \nL 306.269505 118.005643 \nL 307.75435 112.265616 \nL 308.517617 106.999103 \nL 308.48834 102.37565 \nL 307.61693 98.545522 \nL 305.880493 95.626901 \nL 303.286531 93.695541 \nL 299.874425 92.778451 \nL 295.714317 92.85286 \nL 290.903278 93.850689 \nL 285.559301 95.667679 \nL 279.813711 98.175435 \nL 273.803018 101.234483 \nL 267.661122 104.706183 \nL 261.512614 108.462277 \nL 255.467787 112.391202 \nL 249.619403 116.401277 \nL 244.041283 120.421197 \nL 238.788366 124.398551 \nL 233.897903 128.297233 \nL 229.391409 132.094344 \nL 225.277006 135.777118 \nL 221.551898 139.34011 \nL 218.204766 142.78292 \nL 215.217966 146.108338 \nL 212.569451 149.321003 \nL 210.23439 152.426462 \nL 208.18649 155.430512 \nL 206.399041 158.338811 \nL 204.845711 161.15666 \nL 203.501134 163.888901 \nL 202.341316 166.539875 \nL 200.488298 171.613082 \nL 199.129455 176.402432 \nL 198.136501 180.928917 \nL 197.407863 185.209906 \nL 196.643733 191.203236 \nL 195.820521 200.154473 \nL 194.831065 210.783013 \nL 194.080323 215.988154 \nL 193.331501 219.520388 \nL 192.351918 222.752472 \nL 191.530298 224.744953 \nL 190.538312 226.607619 \nL 189.338153 228.336842 \nL 187.883734 229.924298 \nL 186.118817 231.354888 \nL 183.974807 232.603653 \nL 181.368223 233.631212 \nL 179.860622 234.044191 \nL 178.197899 234.37704 \nL 176.364164 234.617281 \nL 174.342075 234.749673 \nL 172.112774 234.755638 \nL 169.655844 234.612601 \nL 166.949327 234.293211 \nL 163.96978 233.764442 \nL 160.692436 232.986579 \nL 157.091474 231.912094 \nL 153.14046 230.48444 \nL 148.813019 228.636826 \nL 144.0838 226.291099 \nL 138.929829 223.356865 \nL 133.332385 219.731169 \nL 127.27949 215.299069 \nL 120.769169 209.935711 \nL 113.81365 203.510577 \nL 106.444506 195.894839 \nL 98.718881 186.972833 \nL 90.726536 176.658642 \nL 82.597447 164.918387 \nL 74.509046 151.79797 \nL 66.69192 137.45437 \nL 59.432012 122.18609 \nL 53.066929 106.455197 \nL 47.973665 90.89049 \nL 44.545545 76.260233 \nL 43.157727 63.405829 \nL 44.123314 53.136926 \nL 47.64611 46.102575 \nL 53.779468 42.668641 \nL 62.402187 42.83892 \nL 73.220394 46.250099 \nL 85.797883 52.246812 \nL 99.609233 60.013661 \nL 143.142034 86.24224 \nL 156.903077 94.145397 \nL 169.805846 101.165469 \nL 181.705967 107.239008 \nL 192.536486 112.388564 \nL 202.288933 116.686658 \nL 210.99563 120.229456 \nL 218.714906 123.119501 \nL 225.51969 125.455634 \nL 231.489271 127.327962 \nL 236.703668 128.815942 \nL 245.170605 130.903633 \nL 251.472616 132.155741 \nL 257.832937 133.132518 \nL 262.232903 133.78379 \nL 263.209916 134.109337 \nL 263.603227 134.53112 \nL 263.551324 135.085952 \nL 263.17355 135.788555 \nL 259.62766 141.015507 \nL 258.85195 142.761101 \nL 258.548535 143.853482 \nL 258.443133 144.845823 \nL 258.548687 145.703676 \nL 258.869728 146.395387 \nL 259.402919 146.892693 \nL 260.137437 147.171462 \nL 261.055222 147.212615 \nL 262.131098 147.003243 \nL 263.332861 146.538018 \nL 264.621407 145.820668 \nL 265.951134 144.865574 \nL 267.270662 143.699031 \nL 268.524161 142.360073 \nL 269.653373 140.900439 \nL 270.600352 139.383314 \nL 271.310927 137.880681 \nL 271.73864 136.469229 \nL 271.848808 135.225052 \nL 271.622133 134.217725 \nL 271.381347 133.821412 \nL 271.057402 133.504562 \nL 270.653165 133.271643 \nL 269.621208 133.069112 \nL 268.330887 133.223759 \nL 266.842274 133.725278 \nL 265.225621 134.545425 \nL 263.556268 135.641729 \nL 261.909655 136.961804 \nL 260.35684 138.447562 \nL 258.961129 140.038799 \nL 257.775855 141.675851 \nL 256.843336 143.30133 \nL 256.194737 144.861064 \nL 255.850581 146.304393 \nL 255.821626 147.584225 \nL 256.109758 148.656923 \nL 256.70874 149.482346 \nL 257.60465 150.024167 \nL 258.775946 150.250627 \nL 260.193131 150.135823 \nL 261.818171 149.661629 \nL 263.603773 148.820224 \nL 265.492711 147.617081 \nL 267.417621 146.074248 \nL 269.30157 144.23332 \nL 271.05976 142.157551 \nL 272.602764 139.932147 \nL 273.841416 137.662075 \nL 274.693225 135.466685 \nL 275.08988 133.471153 \nL 275.101936 132.586383 \nL 274.98483 131.795552 \nL 274.737227 131.110938 \nL 274.359833 130.543061 \nL 273.855451 130.100454 \nL 273.229005 129.789442 \nL 272.487425 129.61404 \nL 271.639543 129.575917 \nL 270.695901 129.674425 \nL 268.570567 130.268053 \nL 266.220074 131.349899 \nL 263.762424 132.85129 \nL 261.315382 134.689026 \nL 258.988214 136.773791 \nL 256.875812 139.016801 \nL 255.055372 141.334051 \nL 253.585518 143.648415 \nL 252.507234 145.890039 \nL 251.845957 147.995626 \nL 251.614149 149.90715 \nL 251.813777 151.570532 \nL 252.073626 152.293039 \nL 252.438293 152.93444 \nL 252.90583 153.488625 \nL 253.473864 153.949621 \nL 254.139592 154.311589 \nL 254.899742 154.568854 \nL 255.750551 154.71597 \nL 256.687706 154.747779 \nL 257.706288 154.659491 \nL 258.800703 154.446808 \nL 261.190777 153.634328 \nL 263.796591 152.291371 \nL 266.540963 150.417604 \nL 269.328981 148.038371 \nL 272.047473 145.211893 \nL 274.566793 142.035156 \nL 276.745796 138.646366 \nL 277.662498 136.926276 \nL 278.440574 135.221767 \nL 279.063661 133.559066 \nL 279.51695 131.965031 \nL 279.78768 130.466388 \nL 279.865637 129.08895 \nL 279.743618 127.856772 \nL 279.417792 126.791375 \nL 278.887987 125.91103 \nL 278.157848 125.230144 \nL 277.234868 124.75886 \nL 276.130269 124.502812 \nL 274.858746 124.463106 \nL 273.438066 124.636499 \nL 271.888572 125.015785 \nL 270.232602 125.590266 \nL 268.493853 126.346403 \nL 266.696726 127.268445 \nL 263.024779 129.540338 \nL 259.403598 132.26064 \nL 255.997706 135.286092 \nL 252.940415 138.486171 \nL 250.33079 141.747911 \nL 248.235384 144.976106 \nL 246.693025 148.090799 \nL 246.135308 149.583833 \nL 245.721001 151.023486 \nL 245.449926 152.402329 \nL 245.321298 153.713171 \nL 245.333866 154.948965 \nL 245.486023 156.102701 \nL 245.775896 157.167349 \nL 246.201414 158.135778 \nL 246.760344 159.000703 \nL 247.450302 159.754654 \nL 248.26874 160.389945 \nL 249.212906 160.898671 \nL 250.279789 161.272732 \nL 251.466026 161.503847 \nL 252.767789 161.583651 \nL 254.180655 161.503779 \nL 255.699459 161.256019 \nL 257.318118 160.832483 \nL 259.029437 160.225852 \nL 260.824915 159.429685 \nL 262.69454 158.43874 \nL 264.626555 157.2494 \nL 266.607289 155.860132 \nL 268.620953 154.272028 \nL 270.64951 152.489323 \nL 272.67257 150.519993 \nL 274.667361 148.376282 \nL 276.608824 146.075201 \nL 278.469774 143.638927 \nL 280.221209 141.095013 \nL 281.83279 138.476385 \nL 283.273466 135.821088 \nL 284.512239 133.171671 \nL 285.519106 130.574223 \nL 286.266116 128.077096 \nL 286.728481 125.729246 \nL 286.88573 123.578412 \nL 286.722772 121.669101 \nL 286.230872 120.040652 \nL 285.408346 118.725436 \nL 284.261027 117.747459 \nL 282.802327 117.121418 \nL 281.053 116.85229 \nL 279.040458 116.9356 \nL 276.797844 117.358141 \nL 274.362782 118.099267 \nL 271.775992 119.132429 \nL 269.079816 120.426881 \nL 266.316791 121.949444 \nL 263.528311 123.666062 \nL 260.753494 125.543198 \nL 258.028273 127.548891 \nL 255.384731 129.653525 \nL 252.850705 131.830305 \nL 250.449617 134.055454 \nL 248.200504 136.308217 \nL 246.118217 138.570715 \nL 244.213738 140.827673 \nL 242.494606 143.066105 \nL 240.965353 145.274992 \nL 239.627998 147.444913 \nL 238.482514 149.567741 \nL 237.527277 151.636354 \nL 236.75948 153.644353 \nL 236.175508 155.585857 \nL 235.771259 157.455283 \nL 235.542415 159.247178 \nL 235.484677 160.956078 \nL 235.593928 162.576366 \nL 235.866387 164.102146 \nL 236.298684 165.527145 \nL 236.887937 166.844599 \nL 237.631766 168.04718 \nL 238.528279 169.126882 \nL 239.576038 170.074947 \nL 240.773994 170.881802 \nL 242.121381 171.536989 \nL 243.617589 172.029121 \nL 245.262002 172.345861 \nL 247.053811 172.473932 \nL 248.991766 172.399174 \nL 251.073925 172.106653 \nL 253.297325 171.580831 \nL 255.657641 170.805853 \nL 258.148776 169.765926 \nL 260.762419 168.445842 \nL 263.487577 166.831647 \nL 266.310042 164.911494 \nL 269.211897 162.676661 \nL 272.170986 160.122783 \nL 275.160444 157.251221 \nL 278.148317 154.070603 \nL 281.097306 150.59835 \nL 283.964744 146.862195 \nL 286.702784 142.901468 \nL 289.258978 138.767952 \nL 291.577259 134.526168 \nL 293.599348 130.252744 \nL 295.266676 126.034803 \nL 296.522708 121.967178 \nL 297.315668 118.148487 \nL 297.601412 114.67626 \nL 297.346348 111.641379 \nL 296.530055 109.122527 \nL 295.147364 107.181074 \nL 293.209586 105.857204 \nL 290.744786 105.167595 \nL 287.796904 105.105236 \nL 284.423834 105.641143 \nL 280.694585 106.727848 \nL 276.685825 108.304081 \nL 272.478083 110.299979 \nL 268.152044 112.642255 \nL 263.785195 115.258748 \nL 259.449018 118.081941 \nL 255.206948 121.051382 \nL 251.113066 124.115051 \nL 247.211506 127.229735 \nL 243.536504 130.360698 \nL 240.112888 133.480905 \nL 236.956958 136.569941 \nL 234.077543 139.612854 \nL 231.477184 142.599068 \nL 229.153322 145.521339 \nL 227.099426 148.374903 \nL 225.306038 151.156782 \nL 223.761699 153.865188 \nL 222.45373 156.499117 \nL 221.368908 159.058024 \nL 220.493995 161.541596 \nL 219.816173 163.94955 \nL 219.323368 166.281529 \nL 219.004502 168.537015 \nL 218.849659 170.715242 \nL 218.850203 172.815128 \nL 218.998851 174.835236 \nL 219.289698 176.77371 \nL 219.718228 178.628202 \nL 220.281296 180.39581 \nL 220.977095 182.073003 \nL 221.805112 183.655499 \nL 222.766079 185.138203 \nL 223.861914 186.515037 \nL 225.095657 187.778838 \nL 226.471393 188.921188 \nL 227.994178 189.93222 \nL 229.669934 190.800456 \nL 231.50535 191.512581 \nL 233.507732 192.053223 \nL 235.684844 192.404733 \nL 238.044697 192.546947 \nL 240.595287 192.456982 \nL 243.344265 192.109072 \nL 246.298539 191.474449 \nL 249.463747 190.521359 \nL 252.843649 189.215206 \nL 256.43936 187.518952 \nL 260.248431 185.393792 \nL 264.263772 182.800275 \nL 268.472387 179.699904 \nL 272.853961 176.057389 \nL 277.379317 171.843653 \nL 282.008783 167.039607 \nL 286.690599 161.640776 \nL 291.359501 155.662571 \nL 295.935706 149.14595 \nL 300.324537 142.162946 \nL 304.417077 134.82125 \nL 308.092118 127.266794 \nL 311.219761 119.683142 \nL 313.666871 112.28655 \nL 315.304339 105.315766 \nL 316.015893 99.016703 \nL 315.707757 93.622766 \nL 314.318112 89.333267 \nL 311.825036 86.293111 \nL 308.251588 84.577506 \nL 303.666943 84.1848 \nL 298.183098 85.039088 \nL 291.947284 87.002258 \nL 285.131171 89.892746 \nL 277.918328 93.507391 \nL 270.491754 97.642371 \nL 263.022921 102.109977 \nL 255.663438 106.749803 \nL 248.53977 111.433947 \nL 241.750955 116.067373 \nL 235.368792 120.584778 \nL 229.439858 124.945648 \nL 223.988682 129.128664 \nL 219.02143 133.1264 \nL 214.529692 136.940751 \nL 210.494026 140.579351 \nL 206.887116 144.052864 \nL 203.676428 147.373142 \nL 200.826383 150.551981 \nL 198.300063 153.600426 \nL 196.060511 156.528356 \nL 194.071668 159.344367 \nL 190.710075 164.668542 \nL 187.964232 169.617193 \nL 183.494307 178.488439 \nL 181.439408 182.431771 \nL 179.327204 186.043813 \nL 177.047133 189.309179 \nL 175.812594 190.803702 \nL 174.499035 192.199951 \nL 173.094688 193.49194 \nL 171.587829 194.672417 \nL 169.966679 195.732679 \nL 168.219333 196.662367 \nL 166.333705 197.449224 \nL 164.297523 198.078848 \nL 162.09835 198.534393 \nL 159.723654 198.796275 \nL 157.160943 198.841861 \nL 154.397971 198.645164 \nL 151.423022 198.176569 \nL 148.225308 197.402612 \nL 144.795497 196.285881 \nL 141.12639 194.785086 \nL 137.213775 192.855394 \nL 133.057488 190.449133 \nL 128.66272 187.516994 \nL 124.041542 184.009911 \nL 119.21467 179.881791 \nL 114.213482 175.093215 \nL 109.082138 169.616325 \nL 103.879714 163.440849 \nL 98.682196 156.581193 \nL 93.583988 149.084212 \nL 88.698578 141.036901 \nL 84.15789 132.572895 \nL 80.109838 123.876192 \nL 76.713618 115.180289 \nL 74.132379 106.760951 \nL 72.523353 98.92131 \nL 72.025857 91.969451 \nL 72.748231 86.190195 \nL 74.755359 81.814782 \nL 78.058685 78.993955 \nL 82.610754 77.779894 \nL 88.305632 78.121439 \nL 94.985674 79.873993 \nL 102.453816 82.821854 \nL 110.489602 86.708146 \nL 118.866355 91.265819 \nL 127.367054 96.244194 \nL 135.796988 101.427432 \nL 143.99219 106.64401 \nL 159.197052 116.716374 \nL 172.354694 125.913583 \nL 178.097499 130.135685 \nL 183.289866 134.113201 \nL 187.955555 137.860827 \nL 192.128108 141.396427 \nL 195.847408 144.738507 \nL 199.156915 147.904709 \nL 202.101538 150.910877 \nL 204.726052 153.770722 \nL 209.186779 159.095042 \nL 212.860312 163.944138 \nL 220.321926 174.178083 \nL 223.158347 177.516206 \nL 224.626628 179.011989 \nL 226.150694 180.385037 \nL 227.745843 181.628363 \nL 229.426361 182.733593 \nL 231.205654 183.690866 \nL 233.096336 184.488684 \nL 235.110285 185.113772 \nL 237.258629 185.550932 \nL 239.551694 185.782906 \nL 241.998888 185.790284 \nL 244.608501 185.551425 \nL 247.387446 185.042469 \nL 250.340871 184.237409 \nL 253.471718 183.108377 \nL 256.780123 181.626031 \nL 260.262724 179.760272 \nL 263.911832 177.48124 \nL 267.714496 174.760674 \nL 271.651433 171.57381 \nL 275.695921 167.901698 \nL 279.812665 163.734118 \nL 283.956714 159.072976 \nL 288.072547 153.936082 \nL 292.093545 148.361067 \nL 295.941939 142.409055 \nL 299.529492 136.167603 \nL 302.759182 129.752136 \nL 305.52797 123.305242 \nL 307.730859 116.993058 \nL 309.266128 110.998234 \nL 310.041641 105.509668 \nL 309.981655 100.709299 \nL 309.033576 96.757567 \nL 307.173778 93.779276 \nL 304.41164 91.852171 \nL 300.791066 91.000265 \nL 296.389079 91.193163 \nL 291.311465 92.351571 \nL 285.685939 94.357918 \nL 279.65371 97.070128 \nL 273.360534 100.336166 \nL 266.948226 104.007043 \nL 260.547558 107.946896 \nL 254.273069 112.039429 \nL 248.219905 116.19073 \nL 242.462592 120.329266 \nL 237.055403 124.403844 \nL 232.033897 128.380433 \nL 227.417174 132.238626 \nL 223.210531 135.96822 \nL 219.40815 139.56623 \nL 215.995682 143.034415 \nL 212.952561 146.377448 \nL 210.253997 149.601525 \nL 207.87265 152.713452 \nL 205.779957 155.720012 \nL 203.947176 158.627647 \nL 202.346169 161.442254 \nL 200.949959 164.169117 \nL 198.671973 169.37773 \nL 196.931655 174.284463 \nL 195.577644 178.913294 \nL 194.009048 185.375836 \nL 191.061774 198.441408 \nL 190.139637 201.697812 \nL 189.097367 204.751823 \nL 187.891397 207.603727 \nL 186.475465 210.24943 \nL 184.798106 212.678866 \nL 182.800252 214.873699 \nL 181.660019 215.874346 \nL 180.412863 216.803958 \nL 179.048212 217.656191 \nL 177.554579 218.423276 \nL 175.919504 219.095737 \nL 174.129492 219.662083 \nL 172.169977 220.108442 \nL 170.025298 220.41811 \nL 167.678703 220.571054 \nL 165.112402 220.543351 \nL 162.307661 220.306535 \nL 159.244997 219.82689 \nL 155.904452 219.064711 \nL 152.266021 217.973521 \nL 148.310249 216.499366 \nL 144.019067 214.580204 \nL 139.376927 212.145598 \nL 134.372277 209.116815 \nL 128.999502 205.407682 \nL 123.261396 200.926502 \nL 117.172169 195.579491 \nL 110.761143 189.276263 \nL 104.077006 181.937903 \nL 97.192551 173.508166 \nL 90.209614 163.96799 \nL 83.263649 153.353049 \nL 76.527222 141.773151 \nL 70.211236 129.431056 \nL 64.562552 116.636519 \nL 59.856487 103.810146 \nL 56.382856 91.470851 \nL 54.425205 80.201838 \nL 54.23385 70.593968 \nL 55.995688 63.171796 \nL 59.805471 58.315279 \nL 65.644426 56.195957 \nL 73.372198 56.746262 \nL 82.73542 59.673001 \nL 93.392519 64.512617 \nL 104.950039 70.712474 \nL 117.003107 77.715833 \nL 163.444762 105.528117 \nL 182.700468 116.489675 \nL 198.554335 125.15131 \nL 244.155231 149.455839 \nL 247.702849 150.968811 \nL 250.91019 151.957706 \nL 252.436181 152.257392 \nL 253.93022 152.426879 \nL 255.403391 152.465522 \nL 256.864014 152.372647 \nL 258.317826 152.147753 \nL 259.768166 151.790754 \nL 261.216095 151.30217 \nL 262.660547 150.683362 \nL 264.098425 149.936764 \nL 266.932689 148.076494 \nL 269.658143 145.770103 \nL 272.189822 143.095983 \nL 274.424467 140.165593 \nL 276.24868 137.122909 \nL 276.971266 135.611954 \nL 277.549684 134.138279 \nL 277.972043 132.725278 \nL 278.228177 131.396141 \nL 278.310024 130.173204 \nL 278.212033 129.0773 \nL 277.931476 128.127099 \nL 277.468656 127.338565 \nL 276.827082 126.724446 \nL 276.013459 126.293966 \nL 275.037628 126.052589 \nL 273.912351 126.00199 \nL 272.652991 126.140196 \nL 271.277131 126.461828 \nL 269.8041 126.958505 \nL 268.25447 127.619274 \nL 265.010683 129.379768 \nL 261.715343 131.624813 \nL 258.526811 134.227563 \nL 255.581648 137.064831 \nL 252.988864 140.024375 \nL 250.828642 143.007882 \nL 249.154459 145.930698 \nL 247.997286 148.719674 \nL 247.61734 150.043535 \nL 247.370613 151.310212 \nL 247.256854 152.512444 \nL 247.275288 153.643153 \nL 247.424703 154.695343 \nL 247.703535 155.662052 \nL 248.109922 156.536296 \nL 248.641737 157.31101 \nL 249.296599 157.979055 \nL 250.071858 158.533189 \nL 250.964561 158.966069 \nL 251.971401 159.27029 \nL 253.088636 159.438433 \nL 254.311998 159.463154 \nL 255.636572 159.337279 \nL 257.056665 159.053965 \nL 258.565665 158.606866 \nL 260.155877 157.990381 \nL 261.818368 157.199916 \nL 263.542793 156.23221 \nL 265.317241 155.085691 \nL 267.128086 153.760885 \nL 268.959866 152.26083 \nL 270.79521 150.591543 \nL 272.614798 148.762435 \nL 274.397412 146.786722 \nL 276.12004 144.681747 \nL 277.758107 142.46921 \nL 279.285817 140.175217 \nL 280.676599 137.830167 \nL 281.90368 135.468378 \nL 282.940786 133.127489 \nL 283.762962 130.847538 \nL 284.347416 128.669839 \nL 284.674439 126.635613 \nL 284.728314 124.784491 \nL 284.498128 123.152945 \nL 283.978476 121.7728 \nL 283.16994 120.669918 \nL 282.079377 119.863182 \nL 280.719896 119.363842 \nL 279.110567 119.175301 \nL 277.275845 119.293356 \nL 275.244755 119.706825 \nL 273.049904 120.398535 \nL 270.726352 121.346507 \nL 268.310429 122.525286 \nL 265.838615 123.907286 \nL 263.346456 125.46399 \nL 260.867681 127.167061 \nL 258.433454 128.989182 \nL 256.071834 130.904697 \nL 253.80742 132.890017 \nL 251.661203 134.923851 \nL 249.650556 136.987239 \nL 247.789363 139.063511 \nL 246.088262 141.138081 \nL 244.554949 143.198252 \nL 243.194539 145.232963 \nL 242.009936 147.232511 \nL 241.00222 149.18832 \nL 240.171016 151.092687 \nL 239.514827 152.938559 \nL 239.031348 154.719348 \nL 238.717734 156.428759 \nL 238.570847 158.060612 \nL 238.587431 159.608729 \nL 238.764269 161.066789 \nL 239.098302 162.428238 \nL 239.586707 163.686166 \nL 240.226934 164.833256 \nL 241.016726 165.861661 \nL 241.954086 166.762965 \nL 243.037241 167.528114 \nL 244.264553 168.14739 \nL 245.634411 168.610369 \nL 247.14509 168.905927 \nL 248.79458 169.022298 \nL 250.580379 168.947123 \nL 252.499257 168.667605 \nL 254.546983 168.17069 \nL 256.718021 167.443341 \nL 259.005184 166.472929 \nL 261.399269 165.247678 \nL 263.88866 163.757307 \nL 266.458934 161.993733 \nL 269.092441 159.951951 \nL 271.76794 157.631051 \nL 274.460257 155.035279 \nL 277.140047 152.175248 \nL 279.773683 149.069065 \nL 282.323302 145.743408 \nL 284.747119 142.234368 \nL 286.999962 138.587964 \nL 289.034168 134.860114 \nL 290.800798 131.115967 \nL 292.251218 127.428462 \nL 293.338983 123.876047 \nL 294.021951 120.539626 \nL 294.264519 117.498806 \nL 294.03983 114.827783 \nL 293.33175 112.59118 \nL 292.136394 110.840294 \nL 290.463083 109.610098 \nL 288.334519 108.917562 \nL 285.786166 108.761222 \nL 282.864853 109.122237 \nL 279.626671 109.96674 \nL 276.134387 111.249031 \nL 272.454592 112.915366 \nL 268.654817 114.907791 \nL 264.800857 117.167643 \nL 260.95448 119.638492 \nL 257.171625 122.26826 \nL 253.50118 125.010653 \nL 249.984275 127.825796 \nL 246.654092 130.680348 \nL 243.536068 133.547119 \nL 240.648422 136.404478 \nL 238.002894 139.235552 \nL 235.605609 142.027429 \nL 233.45799 144.770376 \nL 231.557681 147.457133 \nL 229.899414 150.08228 \nL 228.475794 152.641749 \nL 227.278001 155.132409 \nL 226.296398 157.551741 \nL 225.521032 159.897565 \nL 224.942059 162.16785 \nL 224.550066 164.360568 \nL 224.336325 166.473542 \nL 224.292994 168.504355 \nL 224.413245 170.45025 \nL 224.691353 172.308044 \nL 225.122753 174.074043 \nL 225.704052 175.743943 \nL 226.433031 177.312748 \nL 227.308608 178.774645 \nL 228.330799 180.122896 \nL 229.500652 181.349721 \nL 230.820169 182.446153 \nL 232.292203 183.401902 \nL 233.920348 184.205192 \nL 235.708797 184.84261 \nL 237.662161 185.298943 \nL 239.785281 185.55705 \nL 242.082964 185.597726 \nL 244.559696 185.399629 \nL 247.219267 184.939263 \nL 250.06434 184.191057 \nL 253.095915 183.127558 \nL 256.312719 181.719842 \nL 259.71047 179.938116 \nL 263.281034 177.752648 \nL 267.011465 175.135066 \nL 270.882971 172.060088 \nL 274.869764 168.507733 \nL 278.937926 164.466097 \nL 283.044311 159.934582 \nL 287.1356 154.927547 \nL 291.147666 149.478151 \nL 295.005417 143.64205 \nL 298.623315 137.500433 \nL 301.906811 131.161801 \nL 304.754845 124.761702 \nL 307.063573 118.459797 \nL 308.73131 112.433683 \nL 309.664527 106.869398 \nL 309.784476 101.949008 \nL 309.033925 97.836443 \nL 307.383097 94.663433 \nL 304.834076 92.517544 \nL 301.422896 91.434498 \nL 297.218755 91.39617 \nL 292.320356 92.33467 \nL 286.849682 94.141789 \nL 280.94397 96.681984 \nL 274.746926 99.806624 \nL 268.400215 103.367233 \nL 262.036118 107.226193 \nL 255.771953 111.263804 \nL 249.70649 115.381985 \nL 243.918331 119.504796 \nL 238.465912 123.57688 \nL 233.388772 127.560566 \nL 228.709644 131.43246 \nL 224.436975 135.18001 \nL 220.567595 138.798477 \nL 217.089298 142.288396 \nL 213.983185 145.653588 \nL 211.225726 148.899722 \nL 208.790469 152.03328 \nL 206.649452 155.060902 \nL 204.774294 157.98896 \nL 203.13703 160.82336 \nL 201.710721 163.569422 \nL 200.469874 166.231892 \nL 198.451274 171.322247 \nL 196.913429 176.122225 \nL 195.718281 180.653603 \nL 194.331796 186.98456 \nL 191.700883 199.803086 \nL 190.415467 204.532962 \nL 189.403771 207.444766 \nL 188.221418 210.16392 \nL 186.824169 212.686168 \nL 185.161678 215.001349 \nL 183.175249 217.091079 \nL 182.039374 218.042599 \nL 180.795562 218.925356 \nL 179.433108 219.73299 \nL 177.940351 220.457697 \nL 176.30461 221.089959 \nL 174.512129 221.618206 \nL 172.548024 222.02845 \nL 170.396261 222.30382 \nL 168.039655 222.424045 \nL 165.459913 222.36486 \nL 162.637729 222.097336 \nL 159.552965 221.587137 \nL 156.18493 220.793719 \nL 152.512801 219.66952 \nL 148.516227 218.159177 \nL 144.176171 216.198855 \nL 139.476074 213.715853 \nL 134.403354 210.628668 \nL 128.951421 206.847777 \nL 123.122194 202.27754 \nL 116.929275 196.819703 \nL 110.40178 190.379017 \nL 103.588799 182.871655 \nL 96.564414 174.236902 \nL 89.432925 164.452456 \nL 82.333776 153.553035 \nL 75.445318 141.651122 \nL 68.986271 128.957109 \nL 63.21333 115.794552 \nL 58.413362 102.604493 \nL 54.888655 89.932111 \nL 52.934885 78.390192 \nL 52.812426 68.598138 \nL 54.714239 61.102306 \nL 58.735335 56.292184 \nL 64.850556 54.333032 \nL 72.906579 55.135189 \nL 82.632084 58.371664 \nL 93.665107 63.540401 \nL 105.592379 70.053109 \nL 117.992336 77.325851 \nL 154.416002 99.200581 \nL 165.429848 105.601437 \nL 175.626803 111.365665 \nL 193.385432 121.001302 \nL 207.712834 128.428419 \nL 231.502639 140.380514 \nL 242.515223 145.7965 \nL 246.535125 147.587136 \nL 249.963131 148.859862 \nL 253.00724 149.645971 \nL 255.814935 149.960974 \nL 257.162071 149.944585 \nL 258.482828 149.813544 \nL 259.782664 149.56906 \nL 262.330347 148.746794 \nL 264.806855 147.498873 \nL 267.185752 145.861208 \nL 269.417265 143.889069 \nL 271.433591 141.660091 \nL 273.155151 139.275019 \nL 274.498155 136.855143 \nL 275.383517 134.535945 \nL 275.633524 133.457895 \nL 275.746475 132.457002 \nL 275.718047 131.549247 \nL 275.545892 130.749225 \nL 275.229817 130.069752 \nL 274.77188 129.521514 \nL 274.176454 129.112828 \nL 273.450175 128.849436 \nL 272.601846 128.734427 \nL 271.642265 128.768262 \nL 270.583973 128.948872 \nL 269.440984 129.27184 \nL 266.962292 130.317069 \nL 264.334677 131.832586 \nL 261.688174 133.729243 \nL 259.144606 135.91015 \nL 256.810454 138.278687 \nL 254.772714 140.743733 \nL 253.097602 143.222241 \nL 251.831554 145.639743 \nL 251.003615 147.929446 \nL 250.628503 150.03072 \nL 250.612185 150.992987 \nL 250.709606 151.887305 \nL 250.919831 152.707078 \nL 251.241482 153.445796 \nL 251.672774 154.09706 \nL 252.211527 154.654513 \nL 252.855159 155.111901 \nL 253.600668 155.463062 \nL 254.444599 155.701963 \nL 255.382998 155.822766 \nL 256.411342 155.819907 \nL 257.524472 155.688186 \nL 258.716494 155.422904 \nL 259.980696 155.020013 \nL 261.309445 154.476295 \nL 264.124858 152.958956 \nL 267.079701 150.870286 \nL 270.070888 148.238442 \nL 272.974563 145.12883 \nL 275.648136 141.650952 \nL 276.85027 139.82101 \nL 277.936011 137.961216 \nL 278.885568 136.097781 \nL 279.679863 134.258853 \nL 280.301092 132.473876 \nL 280.733294 130.772822 \nL 280.962949 129.185305 \nL 280.979525 127.73961 \nL 280.775992 126.46176 \nL 280.349242 125.374587 \nL 279.700366 124.496949 \nL 278.834802 123.843064 \nL 277.762316 123.42214 \nL 276.496791 123.238169 \nL 275.055887 123.290036 \nL 273.460533 123.571817 \nL 271.73428 124.07331 \nL 269.902621 124.780704 \nL 267.992217 125.677354 \nL 266.030175 126.744572 \nL 264.043322 127.962411 \nL 260.097434 130.768066 \nL 256.342109 133.934148 \nL 252.930845 137.314616 \nL 249.978395 140.784095 \nL 247.56204 144.238596 \nL 245.726806 147.592718 \nL 245.03411 149.209424 \nL 244.49262 150.775114 \nL 244.102126 152.2823 \nL 243.861734 153.723774 \nL 243.770037 155.092533 \nL 243.825269 156.381649 \nL 244.025416 157.584162 \nL 244.368306 158.693018 \nL 244.851672 159.700991 \nL 245.473178 160.600611 \nL 246.230432 161.384132 \nL 247.120962 162.043497 \nL 248.142156 162.570341 \nL 249.291197 162.955975 \nL 250.56496 163.191438 \nL 251.959883 163.267566 \nL 253.471813 163.175091 \nL 255.095836 162.904772 \nL 256.826078 162.447631 \nL 258.655485 161.795168 \nL 260.575583 160.939714 \nL 262.576244 159.874785 \nL 264.645428 158.595582 \nL 266.76895 157.099518 \nL 268.930241 155.386789 \nL 271.110177 153.461062 \nL 273.286921 151.330124 \nL 275.435898 149.006578 \nL 277.529825 146.50843 \nL 279.538887 143.8596 \nL 281.431078 141.090239 \nL 283.172723 138.236769 \nL 284.729148 135.341635 \nL 286.065616 132.452602 \nL 287.148377 129.621665 \nL 287.945902 126.903524 \nL 288.430212 124.35362 \nL 288.57824 122.025921 \nL 288.373085 119.970549 \nL 287.805176 118.231405 \nL 286.873074 116.84407 \nL 285.584013 115.83414 \nL 283.953946 115.216183 \nL 282.00719 114.993416 \nL 279.775616 115.158061 \nL 277.297448 115.69247 \nL 274.615746 116.570705 \nL 271.776773 117.76053 \nL 268.828209 119.225533 \nL 265.81749 120.927191 \nL 262.790309 122.8267 \nL 259.789341 124.886531 \nL 256.85325 127.071565 \nL 254.016048 129.349857 \nL 251.306719 131.693044 \nL 248.749122 134.076456 \nL 246.362127 136.478989 \nL 244.159921 138.882842 \nL 242.152447 141.273138 \nL 240.345921 143.637506 \nL 238.743383 145.965673 \nL 237.345272 148.249037 \nL 236.149958 150.480321 \nL 235.154257 152.653246 \nL 234.353892 154.762237 \nL 233.743893 156.80219 \nL 233.318943 158.768252 \nL 233.073668 160.655668 \nL 233.002877 162.459621 \nL 233.101735 164.175099 \nL 233.36591 165.796758 \nL 233.791659 167.318836 \nL 234.375893 168.735036 \nL 235.116192 170.038432 \nL 236.010802 171.221364 \nL 237.058588 172.275341 \nL 238.25897 173.19095 \nL 239.611836 173.957792 \nL 241.117404 174.564372 \nL 242.776069 174.998069 \nL 244.588225 175.245096 \nL 246.554028 175.290496 \nL 248.673133 175.118183 \nL 250.94438 174.711096 \nL 253.365432 174.051357 \nL 255.932363 173.1206 \nL 258.639186 171.900429 \nL 261.477332 170.373024 \nL 264.435071 168.521945 \nL 267.49692 166.333158 \nL 270.642989 163.796299 \nL 273.848384 160.906177 \nL 277.082624 157.664485 \nL 280.30916 154.081683 \nL 283.485112 150.178925 \nL 286.561201 145.989925 \nL 289.482059 141.562493 \nL 292.186963 136.959523 \nL 294.611113 132.25916 \nL 296.687456 127.553784 \nL 298.349127 122.947648 \nL 299.532418 118.553021 \nL 300.180187 114.484859 \nL 300.245413 110.85442 \nL 299.694671 107.762201 \nL 298.511153 105.291105 \nL 296.696828 103.500631 \nL 294.273489 102.422879 \nL 291.282462 102.060944 \nL 287.782868 102.390065 \nL 283.848691 103.361089 \nL 279.564796 104.905922 \nL 275.022433 106.944011 \nL 270.314593 109.388999 \nL 265.531724 112.154718 \nL 260.758044 115.160104 \nL 256.068786 118.332535 \nL 251.528359 121.609746 \nL 247.189445 124.940508 \nL 243.092905 128.28423 \nL 239.268328 131.609955 \nL 235.735022 134.894978 \nL 232.503307 138.12336 \nL 229.575925 141.284448 \nL 226.949489 144.371594 \nL 224.615855 147.381065 \nL 222.563373 150.31114 \nL 220.777998 153.161428 \nL 219.244228 155.932371 \nL 217.94589 158.624864 \nL 216.866768 161.239987 \nL 215.991104 163.778862 \nL 215.303963 166.242504 \nL 214.791516 168.631754 \nL 214.441225 170.947241 \nL 214.241971 173.18935 \nL 214.18411 175.358156 \nL 214.259515 177.453439 \nL 214.461564 179.474636 \nL 214.785114 181.420803 \nL 215.226472 183.290578 \nL 215.783338 185.082116 \nL 216.454757 186.793015 \nL 217.241064 188.420273 \nL 218.143836 189.960153 \nL 219.165835 191.408095 \nL 220.310965 192.758575 \nL 221.584215 194.004968 \nL 222.991613 195.13937 \nL 224.540172 196.152398 \nL 226.237826 197.032977 \nL 228.093351 197.768087 \nL 230.116274 198.3425 \nL 232.316744 198.738481 \nL 234.705377 198.935476 \nL 237.293027 198.909811 \nL 240.090523 198.634369 \nL 243.108294 198.078346 \nL 246.355898 197.207047 \nL 249.84143 195.981821 \nL 253.570766 194.360205 \nL 257.54662 192.296336 \nL 261.767398 189.741786 \nL 266.225822 186.646938 \nL 270.907304 182.9631 \nL 275.788096 178.645485 \nL 280.833226 173.657256 \nL 285.994339 167.974737 \nL 291.207553 161.593786 \nL 296.391574 154.537164 \nL 301.446387 146.862382 \nL 306.252869 138.669223 \nL 310.673911 130.105662 \nL 314.557473 121.370487 \nL 317.742009 112.710792 \nL 320.064559 104.412632 \nL 321.371334 96.783879 \nL 321.530182 90.129775 \nL 320.443706 84.723549 \nL 318.061275 80.776395 \nL 314.387933 78.412453 \nL 309.488306 77.654155 \nL 303.484354 78.421627 \nL 296.546866 80.5466 \nL 288.881795 83.797609 \nL 280.713617 87.911059 \nL 272.268226 92.621481 \nL 263.757768 97.686128 \nL 255.369126 102.900902 \nL 247.256733 108.107354 \nL 232.302147 118.082724 \nL 219.448256 127.141098 \nL 213.859852 131.292458 \nL 208.817023 135.202305 \nL 204.292695 138.886671 \nL 200.25107 142.363911 \nL 196.650881 145.652482 \nL 193.447962 148.769626 \nL 190.597216 151.73065 \nL 185.775417 157.234423 \nL 181.850822 162.242114 \nL 172.731391 174.638823 \nL 169.873782 177.902665 \nL 168.387047 179.358597 \nL 166.839773 180.689446 \nL 165.216972 181.887789 \nL 163.504631 182.944795 \nL 161.689593 183.850074 \nL 159.759485 184.591574 \nL 157.702679 185.15541 \nL 155.508313 185.525743 \nL 153.166374 185.684653 \nL 150.667827 185.612031 \nL 148.004847 185.285557 \nL 145.171106 184.680713 \nL 142.162188 183.770933 \nL 138.976072 182.527914 \nL 135.613765 180.922109 \nL 132.080034 178.923539 \nL 128.384278 176.50288 \nL 124.541487 173.633029 \nL 120.573325 170.291093 \nL 116.509273 166.460922 \nL 112.387715 162.136194 \nL 108.256996 157.323885 \nL 104.176179 152.048147 \nL 100.215479 146.354149 \nL 96.456028 140.311534 \nL 92.988911 134.016905 \nL 89.913148 127.594596 \nL 87.33247 121.195043 \nL 85.35091 114.99008 \nL 84.067172 109.164837 \nL 83.568167 103.906408 \nL 83.922162 99.390211 \nL 85.172294 95.765337 \nL 87.331317 93.141304 \nL 90.378342 91.578022 \nL 94.258295 91.081107 \nL 98.884318 91.60333 \nL 104.143005 93.051901 \nL 109.901789 95.300333 \nL 116.017654 98.202598 \nL 122.345953 101.607259 \nL 128.748472 105.36953 \nL 135.099887 109.360169 \nL 141.292264 113.470606 \nL 147.23755 117.614776 \nL 152.868225 121.728328 \nL 158.136512 125.766161 \nL 163.012576 129.699095 \nL 167.482116 133.510374 \nL 171.543698 137.192365 \nL 175.206087 140.743759 \nL 178.485769 144.167336 \nL 181.404739 147.468289 \nL 183.988623 150.652991 \nL 186.265135 153.728216 \nL 188.262837 156.700601 \nL 190.010198 159.576358 \nL 191.534886 162.361139 \nL 192.863273 165.059988 \nL 195.028315 170.217195 \nL 196.681068 175.077532 \nL 197.967207 179.664002 \nL 199.459934 186.069257 \nL 202.285685 199.026181 \nL 203.175372 202.258018 \nL 204.182656 205.290763 \nL 205.349527 208.125184 \nL 206.720737 210.757922 \nL 208.34622 213.179972 \nL 210.283437 215.374499 \nL 211.38953 216.37829 \nL 212.599697 217.313684 \nL 213.924274 218.174742 \nL 215.374502 218.954166 \nL 216.962599 219.643051 \nL 218.701813 220.230573 \nL 220.606468 220.703631 \nL 222.692006 221.046427 \nL 224.974985 221.239985 \nL 227.473048 221.261586 \nL 230.204846 221.084151 \nL 233.189879 220.675519 \nL 236.448258 219.997718 \nL 240.000328 219.006164 \nL 243.866121 217.648902 \nL 248.064616 215.86593 \nL 252.612697 213.58874 \nL 257.523774 210.740256 \nL 262.805997 207.235368 \nL 268.459929 202.982474 \nL 274.47568 197.886359 \nL 280.829381 191.853015 \nL 287.479017 184.796922 \nL 294.359749 176.651349 \nL 301.378879 167.382046 \nL 308.41096 157.004278 \nL 315.293746 145.602292 \nL 321.82598 133.349158 \nL 327.76843 120.523406 \nL 332.849669 107.517122 \nL 336.778014 94.829236 \nL 339.260596 83.038068 \nL 340.029065 72.750392 \nL 338.869879 64.530062 \nL 335.654846 58.817113 \nL 330.365995 55.855399 \nL 323.108543 55.649022 \nL 314.107497 57.96211 \nL 303.686908 62.364038 \nL 292.235454 68.307464 \nL 280.165378 75.216995 \nL 232.821944 103.558208 \nL 222.451518 109.535911 \nL 204.260011 119.645887 \nL 189.478551 127.533284 \nL 151.13094 147.532707 \nL 147.277165 149.304026 \nL 143.911902 150.550134 \nL 140.845264 151.289201 \nL 139.380582 151.470432 \nL 137.944926 151.526222 \nL 136.529314 151.456502 \nL 135.127359 151.261349 \nL 133.735079 150.94118 \nL 132.350749 150.496974 \nL 130.974738 149.930467 \nL 128.258869 148.442504 \nL 125.627486 146.513901 \nL 123.145716 144.205366 \nL 120.898612 141.60574 \nL 118.984416 138.833137 \nL 117.505812 136.031924 \nL 116.960546 134.67096 \nL 116.559182 133.364484 \nL 116.310821 132.133437 \nL 116.222665 130.998023 \nL 116.299712 129.977115 \nL 116.544464 129.08775 \nL 116.956724 128.344598 \nL 117.533466 127.759548 \nL 118.268821 127.341416 \nL 119.154123 127.095724 \nL 120.178104 127.024677 \nL 121.327114 127.12721 \nL 122.585488 127.399205 \nL 123.935924 127.833804 \nL 126.838279 129.151938 \nL 129.88008 130.98725 \nL 132.909308 133.228678 \nL 135.787566 135.760958 \nL 138.397881 138.473687 \nL 140.648454 141.266501 \nL 142.472799 144.05083 \nL 143.827367 146.749314 \nL 144.687672 149.293772 \nL 144.928989 150.488839 \nL 145.044048 151.622722 \nL 145.033311 152.688374 \nL 144.897711 153.678868 \nL 144.638598 154.587338 \nL 144.257677 155.406949 \nL 143.756977 156.13086 \nL 143.138845 156.752212 \nL 142.405947 157.264104 \nL 141.561307 157.659618 \nL 140.608349 157.931869 \nL 139.550967 158.07404 \nL 138.393608 158.079461 \nL 137.141376 157.94174 \nL 135.800142 157.654895 \nL 134.376675 157.213514 \nL 132.878773 156.613011 \nL 131.31541 155.849827 \nL 129.696861 154.921751 \nL 128.03484 153.828239 \nL 126.342603 152.570761 \nL 124.635049 151.153174 \nL 122.928761 149.582089 \nL 121.242007 147.867232 \nL 119.594659 146.02176 \nL 118.008093 144.062505 \nL 116.504913 142.010112 \nL 115.108679 139.889036 \nL 113.843442 137.727395 \nL 112.733225 135.556572 \nL 111.801411 133.41064 \nL 111.070029 131.32557 \nL 110.55899 129.338207 \nL 110.285318 127.485094 \nL 110.262396 125.801204 \nL 110.49927 124.318611 \nL 111.000087 123.065269 \nL 111.763687 122.063916 \nL 112.783422 121.331223 \nL 114.047172 120.877282 \nL 115.537621 120.705412 \nL 117.232747 120.812362 \nL 119.106527 121.188822 \nL 121.129784 121.820207 \nL 123.27114 122.68766 \nL 125.498028 123.76914 \nL 127.777661 125.040531 \nL 130.077933 126.476686 \nL 132.368235 128.05235 \nL 134.620085 129.74292 \nL 138.907995 133.376891 \nL 142.771225 137.212304 \nL 144.503968 139.161849 \nL 146.088998 141.113054 \nL 147.518338 143.053341 \nL 148.786381 144.97157 \nL 149.889554 146.857863 \nL 150.826008 148.703335 \nL 151.5953 150.499944 \nL 152.198088 152.240245 \nL 152.63586 153.917267 \nL 152.910692 155.524297 \nL 153.025038 157.054783 \nL 152.981559 158.502188 \nL 152.782981 159.859859 \nL 152.431997 161.120961 \nL 151.931187 162.278356 \nL 151.282998 163.324547 \nL 150.489715 164.251601 \nL 149.553504 165.051087 \nL 148.476452 165.71406 \nL 147.260658 166.231016 \nL 145.908339 166.59192 \nL 144.421973 166.786214 \nL 142.804467 166.80291 \nL 141.05936 166.630682 \nL 139.191047 166.258034 \nL 137.205043 165.673554 \nL 135.108269 164.866214 \nL 132.909361 163.825751 \nL 130.619007 162.543187 \nL 128.250278 161.011425 \nL 125.81897 159.225972 \nL 123.343933 157.185739 \nL 120.847339 154.893942 \nL 118.354892 152.359057 \nL 115.895953 149.595772 \nL 113.503498 146.625897 \nL 111.213917 143.479089 \nL 109.066593 140.193309 \nL 107.103224 136.814969 \nL 105.366864 133.398506 \nL 103.900695 130.00541 \nL 102.746536 126.702576 \nL 101.943127 123.560048 \nL 101.524278 120.648125 \nL 101.517029 118.0341 \nL 101.939889 115.778861 \nL 102.801396 113.933619 \nL 104.099094 112.537076 \nL 105.819046 111.613536 \nL 107.936016 111.171865 \nL 110.414284 111.205683 \nL 113.209072 111.69465 \nL 116.268487 112.606583 \nL 119.535742 113.900261 \nL 122.951585 115.528454 \nL 126.456669 117.441076 \nL 129.993668 119.5878 \nL 133.509101 121.920392 \nL 136.954722 124.394313 \nL 140.288446 126.969764 \nL 143.474862 129.612202 \nL 146.485335 132.292381 \nL 149.297798 134.986074 \nL 151.8963 137.673606 \nL 154.270366 140.339225 \nL 156.414285 142.97049 \nL 158.326331 145.557616 \nL 160.008002 148.092935 \nL 161.463286 150.570379 \nL 162.697995 152.985047 \nL 163.719174 155.33288 \nL 164.534579 157.610338 \nL 165.152241 159.814187 \nL 165.580113 161.941322 \nL 165.825781 163.988575 \nL 165.896235 165.952621 \nL 165.797708 167.829843 \nL 165.535558 169.616223 \nL 165.114187 171.307253 \nL 164.537009 172.897834 \nL 163.806431 174.382171 \nL 162.923874 175.753661 \nL 161.889824 177.004782 \nL 160.703882 178.126989 \nL 159.364859 179.110582 \nL 157.870881 179.944584 \nL 156.219529 180.616603 \nL 154.407995 181.112743 \nL 152.433282 181.417484 \nL 150.292446 181.513609 \nL 147.982861 181.38216 \nL 145.502581 181.002492 \nL 142.850721 180.352368 \nL 140.02793 179.408183 \nL 137.036948 178.145362 \nL 133.883236 176.538953 \nL 130.575695 174.564449 \nL 127.127458 172.198924 \nL 123.556785 169.422508 \nL 119.887939 166.220268 \nL 116.152124 162.584433 \nL 112.388329 158.517012 \nL 108.644014 154.032667 \nL 104.97557 149.16171 \nL 101.448338 143.9529 \nL 98.136095 138.475712 \nL 95.119856 132.821599 \nL 92.485796 127.10374 \nL 90.322253 121.454758 \nL 88.715829 116.022051 \nL 87.746656 110.960621 \nL 87.48319 106.423779 \nL 87.976864 102.552396 \nL 89.257312 99.46399 \nL 91.328597 97.243045 \nL 94.167205 95.934203 \nL 97.722054 95.539404 \nL 101.916777 96.019419 \nL 106.654045 97.299668 \nL 111.821459 99.279091 \nL 117.298336 101.840748 \nL 122.962618 104.862319 \nL 128.69713 108.225333 \nL 134.394744 111.822074 \nL 139.962063 115.559889 \nL 145.32158 119.36311 \nL 150.412441 123.172942 \nL 155.190063 126.946004 \nL 159.624894 130.652087 \nL 163.700638 134.271626 \nL 167.412197 137.793226 \nL 170.763559 141.21146 \nL 173.765771 144.525033 \nL 176.435075 147.735357 \nL 178.791302 150.845455 \nL 180.856501 153.859206 \nL 182.653829 156.780813 \nL 184.206662 159.61449 \nL 185.537917 162.364236 \nL 186.669559 165.033778 \nL 187.622238 167.626486 \nL 188.415069 170.145415 \nL 189.589226 174.972574 \nL 190.310865 179.533965 \nL 190.672052 183.844866 \nL 190.740465 187.917903 \nL 190.562522 191.763579 \nL 190.166495 195.390448 \nL 189.565223 198.805023 \nL 188.758206 202.011416 \nL 187.733029 205.010721 \nL 186.466111 207.800037 \nL 184.922845 210.371029 \nL 183.057163 212.707855 \nL 181.985671 213.780731 \nL 180.810629 214.784148 \nL 179.522585 215.712466 \nL 178.111146 216.558764 \nL 176.56492 217.314586 \nL 174.871479 217.969675 \nL 173.017318 218.511623 \nL 170.98784 218.925488 \nL 168.767352 219.193339 \nL 166.339104 219.293741 \nL 163.685359 219.201172 \nL 160.787545 218.885369 \nL 157.626485 218.310633 \nL 154.18273 217.435096 \nL 150.437061 216.210011 \nL 146.37119 214.579102 \nL 141.968687 212.478127 \nL 137.216247 209.834752 \nL 132.10533 206.568991 \nL 126.634261 202.594483 \nL 120.810874 197.821 \nL 114.655701 192.15862 \nL 108.205821 185.524118 \nL 101.519152 177.850058 \nL 94.679154 169.096979 \nL 87.799453 159.268665 \nL 81.027874 148.429927 \nL 74.548907 136.725217 \nL 68.583482 124.395088 \nL 63.384652 111.785959 \nL 59.227797 99.347679 \nL 56.394367 87.613169 \nL 55.149285 77.156763 \nL 55.713371 68.532341 \nL 58.234412 62.199444 \nL 62.761785 58.452013 \nL 69.230674 57.368422 \nL 77.460355 58.798068 \nL 87.168791 62.390316 \nL 98.001269 67.6586 \nL 109.567539 74.061311 \nL 121.47998 81.078404 \nL 156.062319 101.926355 \nL 176.040145 113.581436 \nL 192.726845 122.967654 \nL 228.633002 142.891963 \nL 241.332978 150.129602 \nL 245.073055 151.976104 \nL 248.444445 153.276402 \nL 250.048405 153.722693 \nL 251.620917 154.031833 \nL 253.175264 154.20224 \nL 254.721816 154.232083 \nL 256.268209 154.119526 \nL 257.819512 153.862924 \nL 259.378355 153.461079 \nL 260.945047 152.913464 \nL 262.51766 152.220485 \nL 264.092139 151.383736 \nL 265.662349 150.406287 \nL 267.220185 149.292929 \nL 268.755658 148.050463 \nL 270.257026 146.687916 \nL 273.102603 143.651028 \nL 275.634714 140.30539 \nL 276.74105 138.56669 \nL 277.717752 136.815454 \nL 278.547807 135.07763 \nL 279.215101 133.380482 \nL 279.704954 131.751914 \nL 280.00468 130.219718 \nL 280.104118 128.810751 \nL 279.996119 127.55004 \nL 279.676944 126.45999 \nL 279.146607 125.559597 \nL 278.40903 124.863836 \nL 277.472083 124.383225 \nL 276.347481 124.123577 \nL 275.050511 124.08599 \nL 273.599629 124.267017 \nL 272.015937 124.659084 \nL 270.322585 125.251018 \nL 268.544103 126.028702 \nL 266.705719 126.975771 \nL 262.949787 129.305572 \nL 259.247221 132.090302 \nL 255.766804 135.182742 \nL 252.644597 138.449571 \nL 249.981022 141.776112 \nL 247.842866 145.066317 \nL 246.268436 148.239991 \nL 245.698405 149.761413 \nL 245.274096 151.22874 \nL 244.995204 152.634584 \nL 244.860821 153.971789 \nL 244.869586 155.233325 \nL 245.019809 156.412199 \nL 245.309549 157.50138 \nL 245.73669 158.49373 \nL 246.298979 159.38192 \nL 246.994044 160.15843 \nL 247.819371 160.815489 \nL 248.772272 161.34509 \nL 249.84982 161.73897 \nL 251.048758 161.988669 \nL 252.365394 162.085603 \nL 253.795454 162.021125 \nL 255.333935 161.786709 \nL 256.974925 161.374091 \nL 258.711403 160.775536 \nL 260.535039 159.984126 \nL 262.435958 158.994091 \nL 264.402542 157.80127 \nL 266.421188 156.403562 \nL 268.476125 154.801458 \nL 270.549268 152.998646 \nL 272.620075 151.002578 \nL 274.665526 148.825083 \nL 276.660166 146.482892 \nL 278.576265 143.998061 \nL 280.384145 141.398265 \nL 282.052618 138.716826 \nL 283.549618 135.99249 \nL 284.843001 133.268826 \nL 285.901505 130.593285 \nL 286.695823 128.015877 \nL 287.199802 125.587474 \nL 287.391627 123.357892 \nL 287.254989 121.373772 \nL 286.780081 119.67653 \nL 285.964418 118.300419 \nL 284.813307 117.271035 \nL 283.339996 116.604216 \nL 281.565411 116.305645 \nL 279.517511 116.371016 \nL 277.230296 116.786851 \nL 274.74252 117.531789 \nL 272.096245 118.578244 \nL 269.335289 119.894217 \nL 266.503702 121.445125 \nL 263.644378 123.195527 \nL 260.797845 125.110532 \nL 258.001297 127.156977 \nL 255.287916 129.304194 \nL 252.686435 131.524526 \nL 250.220974 133.793526 \nL 247.911068 136.089943 \nL 245.771877 138.39556 \nL 243.814544 140.694896 \nL 242.046617 142.974881 \nL 240.472532 145.224479 \nL 239.094117 147.434327 \nL 237.911095 149.596419 \nL 236.921547 151.70376 \nL 236.12235 153.750128 \nL 235.509564 155.729806 \nL 235.078761 157.637408 \nL 234.825319 159.467681 \nL 234.744659 161.215351 \nL 234.832416 162.874997 \nL 235.084599 164.440925 \nL 235.497678 165.907052 \nL 236.068642 167.266799 \nL 236.795038 168.513009 \nL 237.674964 169.637855 \nL 238.70702 170.632723 \nL 239.890258 171.488177 \nL 241.224076 172.193844 \nL 242.708098 172.738387 \nL 244.342017 173.10947 \nL 246.125409 173.29373 \nL 248.0575 173.276838 \nL 250.136906 173.043571 \nL 252.361318 172.577954 \nL 254.727154 171.863523 \nL 257.229155 170.883665 \nL 259.859939 169.622112 \nL 262.609509 168.06357 \nL 265.464731 166.194552 \nL 268.408784 164.004378 \nL 271.420602 161.48641 \nL 274.474353 158.639441 \nL 277.539 155.469274 \nL 280.577964 151.990375 \nL 283.548973 148.227516 \nL 286.404188 144.217246 \nL 289.090651 140.00904 \nL 291.551152 135.665803 \nL 293.725576 131.263594 \nL 295.552723 126.890275 \nL 296.972661 122.64295 \nL 297.929482 118.624153 \nL 298.374347 114.936894 \nL 298.268577 111.678924 \nL 297.586573 108.936692 \nL 296.318235 106.779689 \nL 294.470539 105.255858 \nL 292.068143 104.388652 \nL 289.152776 104.17625 \nL 285.781449 104.592902 \nL 282.02369 105.592314 \nL 277.957955 107.112418 \nL 273.667675 109.080931 \nL 269.237254 111.420995 \nL 264.74837 114.056158 \nL 260.276915 116.914428 \nL 255.890624 119.931089 \nL 251.647562 123.050284 \nL 247.595373 126.225565 \nL 243.771224 129.419653 \nL 240.202268 132.603607 \nL 236.906526 135.755682 \nL 233.893998 138.860104 \nL 231.167893 141.905842 \nL 228.725905 144.885503 \nL 226.561405 147.794372 \nL 224.664571 150.629666 \nL 223.023371 153.389896 \nL 221.624407 156.074415 \nL 220.453634 158.68307 \nL 219.496935 161.215938 \nL 218.740577 163.673163 \nL 218.171575 166.054823 \nL 217.77794 168.360822 \nL 217.548877 170.590864 \nL 217.474897 172.744344 \nL 217.547904 174.820344 \nL 217.76122 176.81756 \nL 218.109597 178.734258 \nL 218.589194 180.568199 \nL 219.197554 182.316593 \nL 219.933559 183.975992 \nL 220.797379 185.542226 \nL 221.790419 187.010259 \nL 222.915263 188.374082 \nL 224.175609 189.626573 \nL 225.576202 190.759324 \nL 227.122754 191.76246 \nL 228.821863 192.624436 \nL 230.680903 193.331813 \nL 232.707894 193.869026 \nL 234.911348 194.218123 \nL 237.300068 194.358537 \nL 239.882888 194.26682 \nL 242.668362 193.916459 \nL 245.66434 193.277721 \nL 248.877474 192.317615 \nL 252.312577 191.000004 \nL 255.971849 189.285947 \nL 259.853934 187.134365 \nL 263.952794 184.503082 \nL 268.256396 181.350496 \nL 272.745219 177.637818 \nL 277.390585 173.332219 \nL 282.152906 168.410765 \nL 286.979936 162.865321 \nL 291.805163 156.708243 \nL 296.546601 149.978564 \nL 301.106245 142.748141 \nL 305.370577 135.126918 \nL 309.212443 127.266139 \nL 312.494741 119.358174 \nL 315.076087 111.631627 \nL 316.818574 104.340674 \nL 317.597234 97.748555 \nL 317.310565 92.1061 \nL 315.890893 87.627959 \nL 313.313187 84.469994 \nL 309.600764 82.712232 \nL 304.826653 82.350825 \nL 299.110028 83.301102 \nL 292.607927 85.411013 \nL 285.503379 88.482247 \nL 277.991698 92.294522 \nL 270.266868 96.628611 \nL 262.509737 101.284605 \nL 254.879136 106.093603 \nL 247.506467 110.922872 \nL 240.493471 115.67557 \nL 233.912769 120.286854 \nL 227.810255 124.718124 \nL 222.208695 128.950752 \nL 217.111795 132.980263 \nL 212.508293 136.81142 \nL 208.375758 140.454429 \nL 204.683906 143.922163 \nL 201.397378 147.228256 \nL 198.477974 150.385923 \nL 195.886397 153.407256 \nL 193.583544 156.302892 \nL 189.693932 161.751913 \nL 186.528862 166.788077 \nL 182.61773 173.639615 \nL 179.131828 179.687829 \nL 176.786342 183.269049 \nL 174.275854 186.467902 \nL 172.92384 187.913699 \nL 171.489903 189.249517 \nL 169.961469 190.468139 \nL 168.326204 191.560929 \nL 166.571919 192.517631 \nL 164.686512 193.32618 \nL 162.657951 193.972465 \nL 160.474292 194.44009 \nL 158.12375 194.710111 \nL 155.594827 194.760803 \nL 152.876521 194.567421 \nL 149.958613 194.101996 \nL 146.832058 193.333238 \nL 143.489496 192.226548 \nL 139.925913 190.744185 \nL 136.13945 188.845741 \nL 132.1324 186.488955 \nL 127.912411 183.630975 \nL 123.493872 180.230297 \nL 118.899476 176.249368 \nL 114.161973 171.658099 \nL 109.325949 166.438295 \nL 104.449586 160.588969 \nL 99.606139 154.132452 \nL 94.884977 147.120762 \nL 90.391748 139.641677 \nL 86.247374 131.823472 \nL 82.585421 123.836996 \nL 79.547563 115.89369 \nL 77.276908 108.238319 \nL 75.909314 101.135532 \nL 75.563159 94.850681 \nL 76.328489 89.626426 \nL 78.256879 85.658373 \nL 81.35357 83.07374 \nL 85.573362 81.917477 \nL 90.821349 82.148737 \nL 96.958696 83.648843 \nL 103.812873 86.239006 \nL 111.190843 89.704001 \nL 118.893288 93.817076 \nL 126.727876 98.361746 \nL 134.520138 103.147649 \nL 142.120935 108.019364 \nL 149.410495 112.858997 \nL 156.299299 117.583903 \nL 162.726548 122.141601 \nL 168.657068 126.503441 \nL 174.077324 130.658282 \nL 178.991204 134.606925 \nL 183.415947 138.357581 \nL 187.37849 141.922496 \nL 190.912336 145.315583 \nL 194.054996 148.550824 \nL 196.845959 151.641315 \nL 199.325144 154.598783 \nL 201.531764 157.433362 \nL 205.27615 162.76637 \nL 208.354954 167.690879 \nL 215.789296 180.239334 \nL 218.230162 183.683437 \nL 219.519161 185.257211 \nL 220.872703 186.726223 \nL 222.304111 188.084685 \nL 223.826251 189.32556 \nL 225.451661 190.44041 \nL 227.192651 191.419229 \nL 229.061364 192.250244 \nL 231.069808 192.91968 \nL 233.229847 193.411549 \nL 235.553133 193.707405 \nL 238.050979 193.786103 \nL 240.734178 193.623585 \nL 243.612713 193.192697 \nL 246.695391 192.463092 \nL 249.989344 191.401249 \nL 253.499398 189.970658 \nL 257.227301 188.132271 \nL 261.170751 185.845273 \nL 265.322253 183.068339 \nL 269.667788 179.761455 \nL 274.185318 175.888421 \nL 278.84312 171.420185 \nL 283.598063 166.339055 \nL 288.393967 160.64378 \nL 293.16014 154.355287 \nL 297.810412 147.522777 \nL 302.242941 140.229535 \nL 306.341146 132.597454 \nL 309.976135 124.789188 \nL 313.010974 117.006486 \nL 315.306932 109.483627 \nL 316.731685 102.475026 \nL 317.168997 96.23742 \nL 316.529085 91.007907 \nL 314.758375 86.980745 \nL 311.847291 84.286712 \nL 307.834536 82.97896 \nL 302.806899 83.028588 \nL 296.894249 84.330878 \nL 290.260233 86.721063 \nL 283.089913 89.99624 \nL 275.576268 93.939003 \nL 267.907254 98.338719 \nL 260.255073 103.007495 \nL 252.768482 107.789619 \nL 245.568431 112.564987 \nL 238.746749 117.247651 \nL 232.367225 121.781395 \nL 226.468368 126.133916 \nL 221.067071 130.290808 \nL 216.162646 134.25013 \nL 211.74076 138.017925 \nL 207.777033 141.604778 \nL 204.240142 145.023377 \nL 201.094404 148.286845 \nL 198.301829 151.407741 \nL 195.82371 154.397452 \nL 193.621803 157.265942 \nL 189.900702 162.67176 \nL 186.867123 167.676558 \nL 183.102841 174.498405 \nL 179.725646 180.535207 \nL 177.441194 184.11921 \nL 174.987597 187.330224 \nL 173.663459 188.786079 \nL 172.257412 190.134904 \nL 170.757099 191.369758 \nL 169.150335 192.482299 \nL 167.425019 193.462603 \nL 165.569073 194.298961 \nL 163.570414 194.977639 \nL 161.41696 195.48263 \nL 159.0967 195.795386 \nL 156.597804 195.894558 \nL 153.908823 195.755723 \nL 151.018941 195.35118 \nL 147.91836 194.649773 \nL 144.598781 193.616849 \nL 141.054033 192.214363 \nL 137.28087 190.401245 \nL 133.279932 188.134092 \nL 129.05694 185.368322 \nL 124.62407 182.059915 \nL 120.00155 178.16793 \nL 115.219423 173.657826 \nL 110.319432 168.505827 \nL 105.3569 162.704241 \nL 100.402413 156.267645 \nL 95.543111 149.239642 \nL 90.883201 141.699474 \nL 86.543339 133.767605 \nL 82.658434 125.608936 \nL 79.373519 117.432124 \nL 76.837374 109.48361 \nL 75.193976 102.035211 \nL 74.57208 95.365296 \nL 75.073837 89.734891 \nL 76.763747 85.361691 \nL 79.659604 82.396216 \nL 83.727076 80.904756 \nL 88.879189 80.863024 \nL 94.981223 82.161927 \nL 101.860575 84.624581 \nL 109.320194 88.03062 \nL 117.153501 92.142862 \nL 125.158774 96.731442 \nL 133.151126 101.59189 \nL 140.971091 106.555833 \nL 148.489441 111.494604 \nL 155.608609 116.317456 \nL 162.261414 120.966421 \nL 168.407954 125.409579 \nL 174.031502 129.634268 \nL 179.134065 133.640972 \nL 183.732062 137.438398 \nL 187.852426 141.039734 \nL 191.529253 144.459985 \nL 194.801058 147.714279 \nL 197.708598 150.816777 \nL 200.293212 153.780133 \nL 202.595599 156.61524 \nL 206.508448 161.935475 \nL 209.734273 166.831 \nL 217.573678 179.195671 \nL 220.161064 182.538406 \nL 221.528384 184.051532 \nL 222.964213 185.452219 \nL 224.482211 186.733762 \nL 226.09549 187.888094 \nL 227.816735 188.905657 \nL 229.658279 189.775195 \nL 231.63215 190.483572 \nL 233.750072 191.015568 \nL 236.023419 191.353662 \nL 238.46311 191.477836 \nL 241.07943 191.36538 \nL 243.881779 190.990762 \nL 246.878322 190.325551 \nL 250.075536 189.33846 \nL 253.477617 187.995563 \nL 257.085764 186.260725 \nL 260.897291 184.096395 \nL 264.90458 181.464738 \nL 269.093881 178.32935 \nL 273.44392 174.657562 \nL 277.924417 170.423461 \nL 282.494579 165.611697 \nL 287.101584 160.222023 \nL 291.679336 154.274411 \nL 296.147618 147.814455 \nL 300.411942 140.918463 \nL 304.364416 133.697502 \nL 307.885923 126.299319 \nL 310.849896 118.907041 \nL 313.127868 111.73359 \nL 314.596706 105.011136 \nL 315.147204 98.975772 \nL 314.693308 93.84846 \nL 313.180977 89.814558 \nL 310.595385 87.005134 \nL 306.965256 85.483414 \nL 302.363346 85.239253 \nL 296.902703 86.192799 \nL 290.729021 88.206669 \nL 284.01008 91.104186 \nL 276.923761 94.690086 \nL 269.646261 98.769888 \nL 262.34188 103.165384 \nL 255.155337 107.724673 \nL 248.206995 112.326784 \nL 241.590848 116.881734 \nL 235.374836 121.327547 \nL 229.602843 125.625547 \nL 224.297739 129.755114 \nL 219.464915 133.708735 \nL 215.095875 137.487728 \nL 211.171612 141.098885 \nL 207.665611 144.55194 \nL 204.54638 147.857829 \nL 201.779524 151.027528 \nL 199.329377 154.071361 \nL 197.160244 156.998636 \nL 195.237305 159.817481 \nL 191.998687 165.15659 \nL 189.371233 170.131545 \nL 186.131712 176.970071 \nL 183.246272 183.100284 \nL 181.302269 186.797355 \nL 179.216539 190.172283 \nL 176.893638 193.204423 \nL 175.614847 194.581934 \nL 174.242866 195.859728 \nL 172.766375 197.030781 \nL 171.173861 198.086643 \nL 169.453547 199.017216 \nL 167.593342 199.810511 \nL 165.580824 200.45238 \nL 163.403267 200.926204 \nL 161.047694 201.212573 \nL 158.501009 201.288934 \nL 155.750169 201.129258 \nL 152.782466 200.703693 \nL 149.585897 199.978276 \nL 146.149678 198.914751 \nL 142.464894 197.47052 \nL 138.525341 195.598847 \nL 134.328597 193.249418 \nL 129.877312 190.36938 \nL 125.180786 186.905062 \nL 120.256811 182.804564 \nL 115.133785 178.021384 \nL 109.853002 172.519314 \nL 104.471075 166.278636 \nL 99.062222 159.303665 \nL 93.720217 151.631231 \nL 88.559543 143.339462 \nL 83.715285 134.555739 \nL 79.341195 125.462178 \nL 75.605357 116.296539 \nL 72.683013 107.346452 \nL 70.746441 98.935266 \nL 69.952191 91.398944 \nL 70.426719 85.055614 \nL 72.252153 80.171441 \nL 75.454296 76.928822 \nL 79.995257 75.403443 \nL 85.772466 75.5558 \nL 92.624899 77.239715 \nL 100.345877 80.225835 \nL 108.700398 84.234905 \nL 117.44431 88.973188 \nL 126.342285 94.163421 \nL 135.182344 99.566566 \nL 152.011283 110.305493 \nL 166.956145 120.263163 \nL 179.60047 129.123397 \nL 185.047062 133.142057 \nL 189.939332 136.908108 \nL 194.313482 140.442703 \nL 198.212379 143.767304 \nL 201.68257 146.902054 \nL 204.772003 149.864857 \nL 209.997795 155.333051 \nL 214.249055 160.262886 \nL 224.091579 172.218258 \nL 227.154258 175.26209 \nL 228.74201 176.591713 \nL 230.389991 177.784227 \nL 232.113378 178.831243 \nL 233.926095 179.722923 \nL 235.840909 180.447864 \nL 237.869485 180.993037 \nL 240.022378 181.343671 \nL 242.308979 181.483213 \nL 244.737398 181.393291 \nL 247.314259 181.053746 \nL 250.044436 180.442741 \nL 252.930694 179.536986 \nL 255.973226 178.312126 \nL 259.16912 176.743305 \nL 262.511708 174.805979 \nL 265.98982 172.477038 \nL 269.586972 169.736261 \nL 273.280484 166.568161 \nL 277.040616 162.964195 \nL 280.829715 158.925392 \nL 284.601517 154.465215 \nL 288.300708 149.612587 \nL 291.862851 144.414747 \nL 295.214849 138.939627 \nL 298.276122 133.277225 \nL 300.960613 127.53953 \nL 303.179714 121.858399 \nL 304.846148 116.381109 \nL 305.878659 111.263345 \nL 306.207252 106.659957 \nL 305.778591 102.7142 \nL 304.560889 99.546687 \nL 302.547831 97.245462 \nL 299.760769 95.858858 \nL 296.248892 95.392203 \nL 292.0871 95.809042 \nL 287.371822 97.036702 \nL 282.215159 98.975057 \nL 276.738092 101.50715 \nL 271.063514 104.509881 \nL 265.30981 107.863415 \nL 259.585596 111.45837 \nL 253.985877 115.200355 \nL 248.589758 119.012042 \nL 243.459593 122.833201 \nL 238.641286 126.619266 \nL 234.165513 130.339117 \nL 230.049467 133.972544 \nL 226.298923 137.507701 \nL 222.910373 140.938903 \nL 219.873084 144.264721 \nL 217.170976 147.486508 \nL 214.784263 150.607303 \nL 212.690846 153.631035 \nL 210.867451 156.561978 \nL 209.290533 159.404412 \nL 207.936965 162.162429 \nL 206.78456 164.839817 \nL 205.812422 167.440022 \nL 205.001196 169.96615 \nL 203.792455 174.807068 \nL 203.037595 179.381676 \nL 202.642748 183.705588 \nL 202.53853 187.791781 \nL 202.676883 191.651157 \nL 203.027889 195.292727 \nL 203.577 198.723615 \nL 204.322862 201.948742 \nL 205.275816 204.970317 \nL 206.457069 207.786962 \nL 207.898474 210.39249 \nL 209.642897 212.774043 \nL 210.645346 213.874363 \nL 211.745062 214.90947 \nL 212.950945 215.87452 \nL 214.272811 216.763532 \nL 215.721441 217.569171 \nL 217.308633 218.282496 \nL 219.047241 218.892653 \nL 220.951219 219.386526 \nL 223.035634 219.748329 \nL 225.316656 219.959114 \nL 227.811524 219.996246 \nL 230.538452 219.832775 \nL 233.516459 219.436763 \nL 236.765125 218.770561 \nL 240.304198 217.790052 \nL 244.153058 216.443934 \nL 248.329951 214.673088 \nL 252.850959 212.410186 \nL 257.728626 209.57967 \nL 262.970191 206.098375 \nL 268.575306 201.877112 \nL 274.533186 196.823579 \nL 280.819205 190.847178 \nL 287.390816 183.866199 \nL 294.183043 175.81791 \nL 301.103637 166.671912 \nL 308.028409 156.44657 \nL 314.797441 145.227695 \nL 321.21313 133.187457 \nL 327.041408 120.599926 \nL 332.017536 107.848302 \nL 335.857878 95.417852 \nL 338.278373 83.869056 \nL 339.019393 73.788524 \nL 337.874841 65.720636 \nL 334.721318 60.090571 \nL 329.541855 57.135495 \nL 322.438277 56.863083 \nL 313.62795 59.050874 \nL 303.424087 63.288668 \nL 292.202932 69.052181 \nL 280.364536 75.787196 \nL 256.33588 90.221952 \nL 233.795079 103.717237 \nL 214.147698 115.040423 \nL 197.858985 124.066358 \nL 160.062188 144.68607 \nL 152.760196 148.708135 \nL 148.859455 150.652217 \nL 145.418042 152.053338 \nL 143.806894 152.554414 \nL 142.242883 152.92262 \nL 140.710794 153.157224 \nL 139.198481 153.257153 \nL 137.69664 153.221183 \nL 136.198624 153.048189 \nL 134.700279 152.737373 \nL 133.199806 152.288444 \nL 131.697635 151.701913 \nL 130.196321 150.97927 \nL 128.700443 150.123271 \nL 127.216508 149.138146 \nL 124.319438 146.806337 \nL 121.591111 144.055868 \nL 119.139117 140.994539 \nL 117.084855 137.767034 \nL 116.246012 136.145239 \nL 115.552809 134.550191 \nL 115.019068 133.007085 \nL 114.657005 131.541307 \nL 114.476766 130.177688 \nL 114.485956 128.939775 \nL 114.689261 127.849104 \nL 115.088153 126.9245 \nL 115.680644 126.181468 \nL 116.461215 125.63175 \nL 117.420841 125.283015 \nL 118.547187 125.138724 \nL 119.824852 125.198215 \nL 121.235819 125.456927 \nL 122.759934 125.906792 \nL 124.375443 126.536756 \nL 126.059605 127.333332 \nL 129.541425 129.363923 \nL 133.024996 131.864957 \nL 136.346903 134.699655 \nL 139.370641 137.739683 \nL 141.99112 140.871362 \nL 144.134429 143.997253 \nL 145.754279 147.034686 \nL 146.826701 149.912707 \nL 147.154812 151.272088 \nL 147.344279 152.568506 \nL 147.395906 153.794813 \nL 147.310935 154.943979 \nL 147.090955 156.009001 \nL 146.737825 156.982833 \nL 146.253625 157.858336 \nL 145.640642 158.628251 \nL 144.901366 159.285148 \nL 144.038516 159.821446 \nL 143.05508 160.229409 \nL 141.954402 160.501166 \nL 140.740256 160.628803 \nL 139.416986 160.604415 \nL 137.989618 160.420265 \nL 136.464016 160.068925 \nL 134.847067 159.543502 \nL 133.146841 158.837896 \nL 131.372803 157.947101 \nL 129.535965 156.867587 \nL 127.649112 155.597693 \nL 125.726932 154.138102 \nL 123.786182 152.492353 \nL 121.845758 150.667304 \nL 119.926724 148.673679 \nL 118.052284 146.526496 \nL 116.247612 144.245421 \nL 114.539595 141.85504 \nL 112.956442 139.384863 \nL 111.527155 136.869167 \nL 110.280829 134.346503 \nL 109.245847 131.858932 \nL 108.448966 129.450944 \nL 107.914285 127.168039 \nL 107.66223 125.05515 \nL 107.708545 123.154868 \nL 108.063374 121.505655 \nL 108.730569 120.140189 \nL 109.707166 119.083966 \nL 110.983193 118.354251 \nL 112.541824 117.959572 \nL 114.359804 117.899647 \nL 116.408235 118.165915 \nL 118.653579 118.742438 \nL 121.058894 119.607202 \nL 123.585114 120.733587 \nL 126.192392 122.091913 \nL 128.841359 123.650957 \nL 131.494239 125.379251 \nL 134.115772 127.246226 \nL 136.673945 129.223011 \nL 139.14047 131.28303 \nL 141.49105 133.402309 \nL 143.705446 135.559585 \nL 145.767381 137.736263 \nL 147.664311 139.916242 \nL 149.387095 142.085652 \nL 150.929606 144.232597 \nL 152.288299 146.346814 \nL 153.461789 148.419392 \nL 154.450423 150.442504 \nL 155.255876 152.409128 \nL 155.880802 154.31284 \nL 156.328499 156.14759 \nL 156.602642 157.907539 \nL 156.707043 159.586902 \nL 156.645472 161.179815 \nL 156.421496 162.680193 \nL 156.038392 164.081654 \nL 155.499063 165.377383 \nL 154.806011 166.56006 \nL 153.961336 167.621764 \nL 152.966761 168.553907 \nL 151.823704 169.347164 \nL 150.533346 169.991424 \nL 149.096779 170.475745 \nL 147.515135 170.788357 \nL 145.789784 170.916666 \nL 143.922544 170.847346 \nL 141.915939 170.566433 \nL 139.773498 170.059519 \nL 137.500087 169.312036 \nL 135.102272 168.309611 \nL 132.588738 167.038594 \nL 129.970723 165.486664 \nL 127.262489 163.64366 \nL 124.481774 161.502502 \nL 121.650263 159.060331 \nL 118.793971 156.31975 \nL 115.943587 153.290162 \nL 113.134656 149.989167 \nL 110.407565 146.443841 \nL 107.807309 142.691832 \nL 105.382931 138.782053 \nL 103.186609 134.774838 \nL 101.272292 130.741294 \nL 99.693999 126.761812 \nL 98.503693 122.923515 \nL 97.748836 119.316757 \nL 97.46981 116.030833 \nL 97.697357 113.149076 \nL 98.450244 110.743998 \nL 99.733421 108.872784 \nL 101.53691 107.573797 \nL 103.835553 106.864531 \nL 106.589721 106.741259 \nL 109.74699 107.180359 \nL 113.244597 108.141223 \nL 117.012456 109.570222 \nL 120.976539 111.405184 \nL 125.062163 113.57999 \nL 129.197067 116.02862 \nL 133.313997 118.688444 \nL 137.352647 121.502566 \nL 141.260971 124.421238 \nL 144.995842 127.402422 \nL 148.523154 130.411671 \nL 151.817455 133.421567 \nL 154.861273 136.410869 \nL 157.644183 139.363537 \nL 160.161789 142.26776 \nL 162.414667 145.115027 \nL 164.407305 147.899348 \nL 166.147161 150.616578 \nL 167.643781 153.263867 \nL 168.908048 155.839224 \nL 169.951536 158.341202 \nL 170.785983 160.768652 \nL 171.422865 163.120501 \nL 171.873055 165.395662 \nL 172.146575 167.592873 \nL 172.252414 169.710638 \nL 172.198391 171.747136 \nL 171.991084 173.700161 \nL 171.635777 175.567027 \nL 171.13646 177.344506 \nL 170.495823 179.028753 \nL 169.715298 180.61519 \nL 168.795093 182.098413 \nL 167.734252 183.472073 \nL 166.530716 184.728742 \nL 165.181409 185.859757 \nL 163.682319 186.855068 \nL 162.028612 187.703059 \nL 160.214754 188.39037 \nL 158.234669 188.901692 \nL 156.08192 189.21958 \nL 153.74994 189.324283 \nL 151.232316 189.193574 \nL 148.523123 188.802673 \nL 145.617363 188.124195 \nL 142.51147 187.128272 \nL 139.203948 185.782795 \nL 135.696116 184.05394 \nL 131.992993 181.906936 \nL 128.104335 179.307293 \nL 124.045788 176.222469 \nL 119.840192 172.624128 \nL 115.518952 168.491037 \nL 111.123411 163.812637 \nL 106.706152 158.593242 \nL 102.332077 152.856644 \nL 98.078983 146.650907 \nL 94.03752 140.052703 \nL 90.310167 133.170556 \nL 87.008988 126.146051 \nL 84.251938 119.152027 \nL 82.157609 112.386965 \nL 80.838551 106.065028 \nL 80.393428 100.401997 \nL 80.898795 95.59824 \nL 82.401292 91.820736 \nL 84.911444 89.186918 \nL 88.40005 87.753102 \nL 92.797996 87.509963 \nL 97.99976 88.385968 \nL 103.870349 90.25805 \nL 110.254707 92.967519 \nL 116.988435 96.338056 \nL 123.908285 100.192845 \nL 130.86137 104.368314 \nL 137.712188 108.723388 \nL 144.347069 113.143987 \nL 150.676232 117.543567 \nL 156.633711 121.860892 \nL 162.175757 126.056129 \nL 167.278215 130.106377 \nL 171.933428 134.001281 \nL 176.146994 137.739215 \nL 179.934687 141.324171 \nL 183.319685 144.763406 \nL 186.330181 148.065755 \nL 188.997424 151.240475 \nL 191.354135 154.296544 \nL 193.433302 157.242251 \nL 195.267273 160.085008 \nL 196.887117 162.831282 \nL 199.599916 168.055818 \nL 201.782479 172.950943 \nL 204.442637 179.727629 \nL 207.551019 187.777229 \nL 209.153846 191.390939 \nL 210.90393 194.726084 \nL 212.878979 197.769789 \nL 213.974744 199.175616 \nL 215.155628 200.49895 \nL 216.431687 201.73474 \nL 217.813364 202.876792 \nL 219.311572 203.917583 \nL 220.937756 204.848037 \nL 222.703956 205.657271 \nL 224.622831 206.332307 \nL 226.707658 206.857734 \nL 228.97231 207.215341 \nL 231.431173 207.383722 \nL 234.099017 207.337816 \nL 236.990791 207.04847 \nL 240.12132 206.481975 \nL 243.504888 205.599656 \nL 247.154678 204.357543 \nL 251.082012 202.70622 \nL 255.295385 200.590931 \nL 259.799221 197.952096 \nL 264.592335 194.726446 \nL 269.666044 190.848957 \nL 275.001906 186.255892 \nL 280.569115 180.889211 \nL 286.32162 174.702646 \nL 292.195038 167.669546 \nL 298.103655 159.792556 \nL 303.937893 151.11471 \nL 309.5627 141.730951 \nL 314.817595 131.798649 \nL 319.519126 121.544612 \nL 323.466557 111.265744 \nL 326.451313 101.320278 \nL 328.270446 92.107138 \nL 328.743389 84.033311 \nL 327.730639 77.471554 \nL 325.151667 72.715026 \nL 320.999042 69.937564 \nL 315.345596 69.169258 \nL 308.34242 70.29412 \nL 300.207302 73.070987 \nL 291.205248 77.172812 \nL 281.624472 82.234514 \nL 271.752001 87.898448 \nL 261.852717 93.849209 \nL 242.838497 105.667761 \nL 225.846547 116.454769 \nL 211.440682 125.806948 \nL 199.662582 133.779221 \nL 190.246297 140.591597 \nL 182.786959 146.473191 \nL 176.847886 151.603481 \nL 172.018357 156.102378 \nL 164.309576 163.439521 \nL 160.884701 166.303365 \nL 159.186175 167.526004 \nL 157.4689 168.602191 \nL 155.714906 169.525101 \nL 153.908444 170.286659 \nL 152.035843 170.877581 \nL 150.08541 171.287416 \nL 148.047382 171.504584 \nL 145.913938 171.51648 \nL 143.679255 171.30961 \nL 141.339625 170.869761 \nL 138.893652 170.182305 \nL 136.342474 169.232555 \nL 133.690076 168.006274 \nL 130.943626 166.490315 \nL 128.113889 164.673435 \nL 125.215621 162.547246 \nL 122.267996 160.107406 \nL 119.295024 157.354886 \nL 116.325842 154.297438 \nL 113.394945 150.951086 \nL 110.54221 147.341537 \nL 107.812693 143.505486 \nL 105.256097 139.491481 \nL 102.925873 135.360271 \nL 100.877882 131.18436 \nL 99.168659 127.046615 \nL 97.85318 123.037791 \nL 96.982338 119.25296 \nL 96.600151 115.787013 \nL 96.740999 112.729497 \nL 97.427014 110.159212 \nL 98.666 108.1393 \nL 100.45007 106.713228 \nL 102.755188 105.902271 \nL 105.541787 105.704932 \nL 108.756403 106.098113 \nL 112.334227 107.040103 \nL 116.202298 108.47482 \nL 120.283062 110.336707 \nL 124.497978 112.555627 \nL 128.77084 115.061425 \nL 133.030585 117.787506 \nL 137.213445 120.673466 \nL 141.264394 123.666641 \nL 145.137872 126.722693 \nL 148.797922 129.805508 \nL 152.217807 132.886579 \nL 155.379272 135.944027 \nL 158.271573 138.961556 \nL 160.890369 141.927372 \nL 163.236578 144.833177 \nL 165.315267 147.673322 \nL 167.134633 150.444078 \nL 168.705064 153.143055 \nL 170.038353 155.768747 \nL 171.147007 158.320183 \nL 172.043696 160.796691 \nL 172.740805 163.197693 \nL 173.250084 165.522567 \nL 173.582385 167.770539 \nL 173.747474 169.940621 \nL 173.753897 172.031504 \nL 173.608902 174.041528 \nL 173.31839 175.968608 \nL 172.886912 177.810148 \nL 172.317672 179.562992 \nL 171.61255 181.223327 \nL 170.772154 182.786583 \nL 169.795861 184.24734 \nL 168.681882 185.599182 \nL 167.42733 186.834568 \nL 166.02829 187.944683 \nL 164.47992 188.919239 \nL 162.77654 189.746304 \nL 160.911768 190.412103 \nL 158.878665 190.900793 \nL 156.669915 191.194263 \nL 154.278059 191.271914 \nL 151.695773 191.110494 \nL 148.916226 190.683954 \nL 145.933509 189.963412 \nL 142.743173 188.917213 \nL 139.342892 187.511182 \nL 135.733245 185.709101 \nL 131.918653 183.473554 \nL 127.908499 180.767148 \nL 123.718355 177.554313 \nL 119.371411 173.803707 \nL 114.899952 169.491326 \nL 110.346897 164.604422 \nL 105.767249 159.146057 \nL 101.229291 153.140281 \nL 96.815308 146.637403 \nL 92.621593 139.718911 \nL 88.757366 132.501141 \nL 85.342387 125.136699 \nL 82.502907 117.812473 \nL 80.365888 110.743317 \nL 79.051607 104.160848 \nL 78.665022 98.297549 \nL 79.28663 93.367611 \nL 80.963937 89.546844 \nL 83.70473 86.954876 \nL 87.473401 85.642953 \nL 92.191128 85.589887 \nL 97.740207 86.707056 \nL 103.972154 88.851584 \nL 110.718445 91.844852 \nL 117.802399 95.49289 \nL 125.050638 99.605013 \nL 132.302857 104.008337 \nL 139.418961 108.556836 \nL 146.283398 113.135205 \nL 152.806753 117.658414 \nL 158.925181 122.068469 \nL 164.59825 126.329647 \nL 169.805857 130.423363 \nL 174.544698 134.343354 \nL 178.824743 138.091619 \nL 182.665944 141.675213 \nL 186.095335 145.103845 \nL 189.144579 148.388272 \nL 191.847984 151.539208 \nL 194.24094 154.566667 \nL 196.358734 157.479672 \nL 198.235691 160.286084 \nL 201.396237 165.604975 \nL 203.960406 170.56485 \nL 207.12352 177.388859 \nL 209.94399 183.513949 \nL 211.846172 187.213411 \nL 213.888581 190.596321 \nL 216.164813 193.643264 \nL 217.418529 195.031241 \nL 218.764057 196.321881 \nL 220.212579 197.508456 \nL 221.775491 198.58286 \nL 223.464482 199.535376 \nL 225.291582 200.354451 \nL 227.269188 201.026419 \nL 229.410047 201.535192 \nL 231.727214 201.861943 \nL 234.233935 201.984747 \nL 236.943483 201.878218 \nL 239.868917 201.513173 \nL 243.022709 200.856297 \nL 246.416298 199.869909 \nL 250.059449 198.511868 \nL 253.959451 196.735678 \nL 258.120106 194.49094 \nL 262.540469 191.724242 \nL 267.213322 188.380711 \nL 272.123352 184.406369 \nL 277.245074 179.751533 \nL 282.540507 174.375465 \nL 287.956707 168.252391 \nL 293.423348 161.378873 \nL 298.850566 153.782354 \nL 304.127512 145.53024 \nL 309.12202 136.738518 \nL 313.682029 127.578266 \nL 317.639317 118.278124 \nL 320.816066 109.120297 \nL 323.034537 100.428308 \nL 324.129544 92.545404 \nL 323.962984 85.804689 \nL 322.438732 80.494282 \nL 319.51579 76.823166 \nL 315.217222 74.89475 \nL 309.632846 74.694296 \nL 302.914504 76.093749 \nL 295.264295 78.873083 \nL 286.917493 82.753146 \nL 278.122945 87.43261 \nL 269.12406 92.621413 \nL 260.142953 98.065507 \nL 242.954628 108.956213 \nL 227.611149 119.08703 \nL 214.584239 128.094141 \nL 208.962567 132.170999 \nL 203.908775 135.984865 \nL 199.387472 139.557575 \nL 195.355899 142.911586 \nL 191.767101 146.068138 \nL 188.572379 149.046191 \nL 183.171974 154.528987 \nL 178.786642 159.457104 \nL 168.702962 171.340857 \nL 165.592778 174.342329 \nL 163.985142 175.647299 \nL 162.319512 176.812761 \nL 160.580574 177.830273 \nL 158.754359 178.68994 \nL 156.828156 179.38034 \nL 154.790459 179.888454 \nL 152.630973 180.199594 \nL 150.340667 180.297353 \nL 147.911915 180.163632 \nL 145.338679 179.77867 \nL 142.616786 179.121211 \nL 139.744301 178.168755 \nL 136.721966 176.898011 \nL 133.553736 175.285483 \nL 130.247428 173.30835 \nL 126.81541 170.945608 \nL 123.275416 168.179574 \nL 119.651331 164.997689 \nL 115.974031 161.394752 \nL 112.282096 157.375411 \nL 108.622418 152.956897 \nL 105.050494 148.171803 \nL 101.630358 143.070624 \nL 98.433933 137.723753 \nL 95.539721 132.222389 \nL 93.030684 126.677975 \nL 90.991268 121.219704 \nL 89.50355 115.989765 \nL 88.642702 111.136329 \nL 88.472055 106.804588 \nL 89.038098 103.126664 \nL 90.366096 100.211516 \nL 92.456747 98.136137 \nL 95.284498 96.939623 \nL 98.797801 96.620833 \nL 102.921444 97.140265 \nL 107.560798 98.42562 \nL 112.607414 100.380297 \nL 117.945438 102.893158 \nL 123.458051 105.848371 \nL 129.033336 109.13376 \nL 134.569046 112.647259 \nL 139.976023 116.300862 \nL 145.180198 120.02239 \nL 150.123292 123.755397 \nL 154.762456 127.457897 \nL 159.069106 131.100292 \nL 163.027267 134.663046 \nL 166.631649 138.134414 \nL 169.885641 141.50838 \nL 172.799403 144.782953 \nL 175.388108 147.958813 \nL 177.670398 151.038276 \nL 179.667083 154.024557 \nL 181.400072 156.921274 \nL 182.891516 159.732111 \nL 184.163148 162.460617 \nL 185.235798 165.110119 \nL 186.129044 167.683638 \nL 186.860978 170.183905 \nL 187.905123 174.974224 \nL 188.479778 179.497646 \nL 188.670093 183.767291 \nL 188.536857 187.793398 \nL 188.119243 191.583535 \nL 187.437568 195.142493 \nL 186.495635 198.471758 \nL 185.282471 201.568652 \nL 183.773398 204.424923 \nL 182.896553 205.758251 \nL 181.930454 207.024753 \nL 180.868258 208.220799 \nL 179.70224 209.341858 \nL 178.423777 210.382338 \nL 177.023312 211.335398 \nL 175.490329 212.19272 \nL 173.813329 212.944241 \nL 171.979809 213.577856 \nL 169.976263 214.079043 \nL 167.788206 214.430472 \nL 165.400219 214.611533 \nL 162.79605 214.597807 \nL 159.958772 214.360518 \nL 156.871021 213.865922 \nL 153.515345 213.074686 \nL 149.874704 211.941314 \nL 145.933122 210.413662 \nL 141.676612 208.432631 \nL 137.094337 205.932211 \nL 132.18014 202.840035 \nL 126.93448 199.078699 \nL 121.366801 194.568204 \nL 115.498426 189.229843 \nL 109.365887 182.992024 \nL 103.02472 175.798329 \nL 96.553473 167.618181 \nL 90.057605 158.459963 \nL 83.672761 148.386051 \nL 77.566709 137.528371 \nL 71.938839 126.101868 \nL 67.016244 114.412374 \nL 63.045163 102.854371 \nL 60.277111 91.894124 \nL 58.949666 82.03566 \nL 59.263223 73.770245 \nL 61.356376 67.515433 \nL 65.284024 63.555174 \nL 71.002809 61.995177 \nL 78.367965 62.746362 \nL 87.143405 65.542392 \nL 97.02405 69.987073 \nL 107.666181 75.619095 \nL 118.720079 81.977369 \nL 140.801372 95.31919 \nL 170.492606 113.345514 \nL 205.424919 134.320318 \nL 214.740458 140.186518 \nL 222.086591 145.063407 \nL 230.454425 150.939853 \nL 236.83959 155.395376 \nL 240.513361 157.642309 \nL 242.263753 158.549213 \nL 243.987116 159.308482 \nL 245.702291 159.916295 \nL 247.42509 160.367964 \nL 249.168468 160.658085 \nL 250.942685 160.780769 \nL 252.755421 160.729805 \nL 254.611845 160.498886 \nL 256.514648 160.08186 \nL 258.464046 159.473042 \nL 260.457749 158.667532 \nL 262.490917 157.661609 \nL 264.556075 156.453199 \nL 266.643048 155.042351 \nL 268.738916 153.431764 \nL 270.827952 151.627377 \nL 272.891639 149.638916 \nL 274.908761 147.480415 \nL 276.855547 145.170706 \nL 278.705958 142.733725 \nL 280.432074 140.198696 \nL 282.004658 137.600031 \nL 283.393833 134.976969 \nL 284.569943 132.372883 \nL 285.504524 129.834229 \nL 286.171386 127.40917 \nL 286.547734 125.145889 \nL 286.615311 123.09073 \nL 286.361422 121.286267 \nL 285.779812 119.769388 \nL 284.871307 118.569683 \nL 283.64415 117.708178 \nL 282.113976 117.196559 \nL 280.30345 117.037002 \nL 278.241522 117.22253 \nL 275.962428 117.737962 \nL 273.504399 118.561165 \nL 270.90829 119.664702 \nL 268.216124 121.017488 \nL 265.46972 122.586488 \nL 262.709425 124.3382 \nL 259.973068 126.23993 \nL 257.295143 128.260744 \nL 254.706222 130.372152 \nL 252.232637 132.548489 \nL 249.896358 134.767052 \nL 247.715087 137.008088 \nL 245.702481 139.254571 \nL 243.86849 141.491965 \nL 242.219792 143.707898 \nL 240.760232 145.891817 \nL 239.491299 148.034677 \nL 238.412579 150.128607 \nL 237.522201 152.166661 \nL 236.817225 154.142544 \nL 236.293994 156.050409 \nL 235.948438 157.884665 \nL 235.776343 159.639798 \nL 235.773541 161.310243 \nL 235.936086 162.890238 \nL 236.26038 164.373732 \nL 236.743238 165.754269 \nL 237.381956 167.02486 \nL 238.17431 168.17794 \nL 239.118537 169.205256 \nL 240.213297 170.097778 \nL 241.457579 170.845653 \nL 242.850606 171.438157 \nL 244.391691 171.863633 \nL 246.080057 172.109504 \nL 247.914639 172.16229 \nL 249.893849 172.007685 \nL 252.01527 171.630715 \nL 254.275355 171.015915 \nL 256.669042 170.147671 \nL 259.189354 169.010639 \nL 261.826944 167.59032 \nL 264.569617 165.873787 \nL 267.401811 163.850591 \nL 270.304091 161.513854 \nL 273.252678 158.861519 \nL 276.218994 155.897762 \nL 279.169347 152.634507 \nL 282.064765 149.092934 \nL 284.861055 145.304878 \nL 287.509128 141.313942 \nL 289.955738 137.176112 \nL 292.144599 132.95972 \nL 294.017954 128.744452 \nL 295.518632 124.619335 \nL 296.592491 120.679568 \nL 297.191154 117.02228 \nL 297.274881 113.741504 \nL 296.815306 110.922702 \nL 295.797854 108.637372 \nL 294.223482 106.938531 \nL 292.109537 105.857374 \nL 289.489596 105.40185 \nL 286.412248 105.557101 \nL 282.938837 106.287829 \nL 279.140427 107.542174 \nL 275.094286 109.256537 \nL 270.880158 111.360678 \nL 266.576738 113.782622 \nL 262.258539 116.452743 \nL 257.993423 119.306869 \nL 253.840844 122.288249 \nL 249.850806 125.348573 \nL 246.063524 128.448068 \nL 242.509604 131.555034 \nL 239.210688 134.644963 \nL 236.180372 137.699458 \nL 233.425293 140.705133 \nL 230.946298 143.652534 \nL 228.739588 146.53521 \nL 226.7978 149.348906 \nL 225.11101 152.090934 \nL 223.667577 154.759642 \nL 222.454894 157.354052 \nL 221.459987 159.873559 \nL 220.670022 162.317714 \nL 220.072685 164.686072 \nL 219.65649 166.978082 \nL 219.410984 169.192994 \nL 219.326906 171.329786 \nL 219.396288 173.387107 \nL 219.612513 175.363203 \nL 219.970325 177.255869 \nL 220.465844 179.062375 \nL 221.096533 180.779402 \nL 221.861165 182.402915 \nL 222.759776 183.928107 \nL 223.793614 185.34926 \nL 224.965071 186.659617 \nL 226.277617 187.851221 \nL 227.735716 188.91478 \nL 229.344742 189.839456 \nL 231.110856 190.612681 \nL 233.0409 191.219941 \nL 235.14222 191.644558 \nL 237.422478 191.867461 \nL 239.889413 191.866997 \nL 242.550528 191.618735 \nL 245.412718 191.095359 \nL 248.481808 190.26663 \nL 251.761965 189.0995 \nL 255.254996 187.55842 \nL 258.959506 185.605913 \nL 262.869889 183.203533 \nL 266.975152 180.313258 \nL 271.257583 176.899509 \nL 275.691281 172.931796 \nL 280.240598 168.388172 \nL 284.858561 163.259456 \nL 289.48544 157.554149 \nL 294.047618 151.303838 \nL 298.457005 144.568662 \nL 302.611336 137.442074 \nL 306.395604 130.054136 \nL 309.68503 122.57203 \nL 312.349731 115.196797 \nL 314.261205 108.155247 \nL 315.300411 101.686841 \nL 315.366941 96.025937 \nL 314.388373 91.381329 \nL 312.328621 87.915807 \nL 309.194002 85.72931 \nL 305.035797 84.848795 \nL 299.948636 85.227255 \nL 294.064633 86.752022 \nL 287.543924 89.260748 \nL 280.563034 92.561743 \nL 273.302534 96.454877 \nL 265.935741 100.749618 \nL 258.619543 105.278017 \nL 251.488088 109.902083 \nL 244.649413 114.515869 \nL 238.184717 119.043707 \nL 232.149649 123.436079 \nL 226.576981 127.66435 \nL 221.480035 131.715518 \nL 216.856346 135.587471 \nL 212.691231 139.28512 \nL 208.961035 142.817426 \nL 205.635921 146.195281 \nL 202.682199 149.430046 \nL 200.064179 152.532672 \nL 197.745605 155.513175 \nL 195.690728 158.380415 \nL 192.235889 163.8044 \nL 189.446722 168.851874 \nL 186.043383 175.782501 \nL 183.060906 181.989991 \nL 181.077294 185.731899 \nL 178.965988 189.146899 \nL 176.627988 192.214639 \nL 175.344807 193.608344 \nL 173.970267 194.901303 \nL 172.492919 196.086529 \nL 170.901178 197.155623 \nL 169.183244 198.098548 \nL 167.327053 198.903403 \nL 165.320264 199.556148 \nL 163.150268 200.04032 \nL 160.804261 200.336704 \nL 158.269356 200.423009 \nL 155.532763 200.273532 \nL 152.582076 199.858846 \nL 149.405623 199.145521 \nL 145.992983 198.095961 \nL 142.335637 196.668383 \nL 138.427783 194.817035 \nL 134.267398 192.49277 \nL 129.857499 189.644103 \nL 125.207689 186.218909 \nL 120.335951 182.166984 \nL 115.270705 177.443601 \nL 110.053017 172.014297 \nL 104.738939 165.860904 \nL 99.401719 158.988824 \nL 94.133614 151.435228 \nL 89.046992 143.277469 \nL 84.274162 134.640691 \nL 79.965419 125.702951 \nL 76.28482 116.696018 \nL 73.403203 107.899684 \nL 71.488363 99.628108 \nL 70.692756 92.207638 \nL 71.139668 85.9476 \nL 72.909476 81.107644 \nL 76.028088 77.867118 \nL 80.459783 76.302917 \nL 86.10614 76.381053 \nL 92.811864 77.964163 \nL 100.37692 80.833598 \nL 108.573124 84.720928 \nL 117.162585 89.341964 \nL 125.915102 94.426574 \nL 134.62239 99.740249 \nL 143.107795 105.095552 \nL 158.890191 115.425725 \nL 172.575066 124.816488 \nL 178.553095 129.107033 \nL 183.960034 133.135114 \nL 188.819809 136.917102 \nL 193.166914 140.472784 \nL 197.04269 143.822609 \nL 200.492359 146.985943 \nL 203.562741 149.980155 \nL 208.751225 155.518426 \nL 212.961718 160.527274 \nL 222.630401 172.782885 \nL 225.613463 175.955741 \nL 227.157268 177.357211 \nL 228.7587 178.627172 \nL 230.43314 179.757813 \nL 232.194796 180.739883 \nL 234.056812 181.5626 \nL 236.031347 182.213532 \nL 238.12958 182.678484 \nL 240.361697 182.941417 \nL 242.736772 182.984348 \nL 245.262624 182.787357 \nL 247.945565 182.328591 \nL 250.790088 181.58441 \nL 253.79843 180.529668 \nL 256.970072 179.138128 \nL 260.301104 177.383149 \nL 263.783496 175.238595 \nL 267.404275 172.680173 \nL 271.144602 169.687075 \nL 274.97881 166.244095 \nL 278.873458 162.34417 \nL 282.786426 157.991343 \nL 286.66619 153.203951 \nL 290.451429 148.017964 \nL 294.071094 142.490016 \nL 297.445081 136.699739 \nL 300.485767 130.750901 \nL 303.100491 124.770629 \nL 305.195077 118.906292 \nL 306.678375 113.31961 \nL 307.46762 108.177985 \nL 307.494296 103.643594 \nL 306.709881 99.861171 \nL 305.090877 96.946125 \nL 302.642425 94.974616 \nL 299.399844 93.977382 \nL 295.427746 93.938237 \nL 290.816714 94.797767 \nL 285.677818 96.461327 \nL 280.135624 98.810003 \nL 274.32057 101.712694 \nL 268.361567 105.03738 \nL 262.379566 108.660399 \nL 256.482581 112.472793 \nL 250.762416 116.383764 \nL 245.293049 120.321565 \nL 240.130472 124.232484 \nL 235.313625 128.078611 \nL 230.866116 131.835036 \nL 226.798367 135.487006 \nL 223.109938 139.027243 \nL 219.7918 142.453739 \nL 216.828467 145.767925 \nL 214.199861 148.973339 \nL 211.882921 152.074629 \nL 209.852924 155.076883 \nL 208.08453 157.985216 \nL 206.552605 160.804512 \nL 205.232827 163.539272 \nL 204.102113 166.193599 \nL 203.138914 168.771159 \nL 201.637449 173.708824 \nL 200.591065 178.374715 \nL 199.890215 182.787255 \nL 199.450563 186.962009 \nL 199.209348 190.912588 \nL 199.125198 196.444553 \nL 199.295175 201.536171 \nL 199.676898 206.219757 \nL 200.266041 210.523203 \nL 201.088496 214.469272 \nL 201.791659 216.909686 \nL 202.644561 219.201036 \nL 203.676441 221.343203 \nL 204.923871 223.332514 \nL 206.432071 225.160273 \nL 208.256556 226.810617 \nL 210.465128 228.257348 \nL 211.73856 228.892246 \nL 213.140194 229.459296 \nL 214.683033 229.949905 \nL 216.38131 230.353544 \nL 218.250571 230.657348 \nL 220.307731 230.845661 \nL 222.571126 230.899477 \nL 225.060513 230.795799 \nL 227.797048 230.506895 \nL 230.803188 229.99944 \nL 234.102494 229.23357 \nL 237.719322 228.161836 \nL 241.678336 226.728133 \nL 246.003791 224.866629 \nL 250.718516 222.500849 \nL 255.842505 219.543075 \nL 261.391026 215.894339 \nL 267.372118 211.44539 \nL 273.783341 206.079169 \nL 280.607726 199.675475 \nL 287.808801 192.118628 \nL 295.324736 183.30901 \nL 303.061827 173.1793 \nL 310.887703 161.715661 \nL 318.625104 148.983415 \nL 326.047463 135.154957 \nL 332.878073 120.53555 \nL 338.795084 105.57989 \nL 343.444461 90.890065 \nL 346.462816 77.185287 \nL 347.510007 65.237183 \nL 346.309374 55.772991 \nL 342.689596 49.361345 \nL 336.619932 46.307692 \nL 328.229136 46.591116 \nL 317.801168 49.866208 \nL 305.746084 55.533018 \nL 292.551793 62.853788 \nL 278.727584 71.080365 \nL 251.033919 87.782171 \nL 237.892639 95.419128 \nL 225.552807 102.282962 \nL 214.152657 108.304575 \nL 203.758469 113.494263 \nL 194.381331 117.909858 \nL 185.993077 121.632671 \nL 178.539845 124.751482 \nL 171.952727 127.352827 \nL 161.070832 131.310465 \nL 152.739108 134.024572 \nL 146.408682 135.870342 \nL 139.693881 137.562282 \nL 135.323013 138.448754 \nL 131.837497 138.954119 \nL 129.039114 139.301638 \nL 129.094907 139.482996 \nL 130.281527 141.336127 \nL 130.326757 141.921305 \nL 130.117234 142.201937 \nL 129.704944 142.256476 \nL 129.142859 142.063212 \nL 128.356632 141.502364 \nL 127.662261 140.702946 \nL 127.252185 139.862759 \nL 127.2219 139.315406 \nL 127.390636 139.047598 \nL 127.713648 138.937644 \nL 128.164511 139.001041 \nL 128.893489 139.349667 \nL 129.65731 139.9512 \nL 130.327811 140.712792 \nL 130.790586 141.515171 \nL 130.963197 142.231083 \nL 130.877134 142.639676 \nL 130.606928 142.891946 \nL 130.170267 142.958355 \nL 129.599917 142.823783 \nL 128.712833 142.337488 \nL 127.808165 141.554962 \nL 127.038127 140.589274 \nL 126.546022 139.598286 \nL 126.425466 138.945107 \nL 126.544999 138.447818 \nL 126.902997 138.1627 \nL 127.472445 138.124764 \nL 128.203099 138.343421 \nL 129.026868 138.801829 \nL 130.134386 139.713481 \nL 131.081645 140.834064 \nL 131.709138 141.989169 \nL 131.902063 142.769747 \nL 131.829831 143.398196 \nL 131.632917 143.702367 \nL 131.322265 143.897366 \nL 130.664419 143.961827 \nL 129.820678 143.735895 \nL 128.857798 143.222633 \nL 127.857741 142.451858 \nL 126.912589 141.481362 \nL 126.117134 140.395074 \nL 125.55947 139.297043 \nL 125.3101 138.301034 \nL 125.337519 137.74844 \nL 125.525447 137.318607 \nL 125.86994 137.03423 \nL 126.359164 136.910941 \nL 126.973864 136.956409 \nL 128.073588 137.3376 \nL 129.29069 138.06072 \nL 130.507254 139.058048 \nL 131.60703 140.238555 \nL 132.487146 141.498305 \nL 133.066579 142.729623 \nL 133.291078 143.828404 \nL 133.229795 144.439825 \nL 132.998533 144.924844 \nL 132.602629 145.261819 \nL 132.053033 145.433043 \nL 131.366145 145.42552 \nL 130.563691 145.231763 \nL 129.203308 144.591451 \nL 127.754321 143.55891 \nL 126.345568 142.203265 \nL 125.11619 140.636247 \nL 124.202544 139.006615 \nL 123.827871 137.969888 \nL 123.672124 137.03383 \nL 123.751431 136.247475 \nL 124.070379 135.653141 \nL 124.621021 135.283386 \nL 125.382878 135.158744 \nL 126.323958 135.286551 \nL 127.402677 135.660986 \nL 128.570545 136.264205 \nL 129.77525 137.068252 \nL 131.535829 138.571336 \nL 133.092884 140.304812 \nL 134.305713 142.118627 \nL 134.869898 143.29899 \nL 135.212845 144.407259 \nL 135.321349 145.404152 \nL 135.189824 146.253318 \nL 134.819993 146.921745 \nL 134.220602 147.38029 \nL 133.407305 147.604351 \nL 132.402614 147.574856 \nL 131.235997 147.279536 \nL 129.943941 146.714424 \nL 128.569939 145.885546 \nL 127.164135 144.810601 \nL 125.782535 143.520361 \nL 124.48549 142.059468 \nL 123.335448 140.48617 \nL 122.393792 138.870656 \nL 121.716959 137.291818 \nL 121.352046 135.832406 \nL 121.332445 134.572937 \nL 121.674034 133.585132 \nL 121.979773 133.211565 \nL 122.372591 132.925741 \nL 122.848674 132.731643 \nL 124.029243 132.627476 \nL 125.46775 132.902637 \nL 127.096005 133.539332 \nL 128.836529 134.501626 \nL 130.608194 135.739863 \nL 132.331611 137.195565 \nL 133.933592 138.805838 \nL 135.35039 140.506993 \nL 136.529572 142.23698 \nL 137.430714 143.936885 \nL 138.025119 145.551557 \nL 138.294996 147.029682 \nL 138.232379 148.323607 \nL 137.838105 149.389123 \nL 137.121039 150.185494 \nL 136.097711 150.675772 \nL 134.792392 150.827695 \nL 133.237594 150.615208 \nL 131.474865 150.020644 \nL 129.55571 149.037672 \nL 127.542379 147.6747 \nL 125.508082 145.958533 \nL 123.536327 143.937702 \nL 121.718802 141.684565 \nL 120.151618 139.295341 \nL 118.929579 136.887055 \nL 118.138802 134.590875 \nL 117.927603 133.527232 \nL 117.848289 132.541911 \nL 117.905447 131.650342 \nL 118.101625 130.866582 \nL 118.437194 130.202937 \nL 118.910236 129.669617 \nL 119.516542 129.274512 \nL 120.249646 129.023017 \nL 121.100932 128.91793 \nL 122.059831 128.9595 \nL 123.114051 129.145514 \nL 125.452441 129.93095 \nL 127.995054 131.215973 \nL 130.614123 132.919997 \nL 133.185452 134.950291 \nL 135.596731 137.210814 \nL 137.753047 139.608659 \nL 139.579455 142.057792 \nL 141.021041 144.480433 \nL 142.041185 146.806822 \nL 142.618829 148.973969 \nL 142.745508 150.924025 \nL 142.639856 151.800574 \nL 142.422648 152.602681 \nL 142.095279 153.323895 \nL 141.659551 153.957858 \nL 141.117678 154.498301 \nL 140.472271 154.939035 \nL 139.726372 155.273985 \nL 138.883488 155.497228 \nL 137.947629 155.603046 \nL 136.923383 155.586018 \nL 135.815982 155.441115 \nL 134.631394 155.163818 \nL 133.376409 154.750298 \nL 130.687091 153.503679 \nL 127.822368 151.691472 \nL 124.875327 149.328602 \nL 121.959262 146.462988 \nL 119.206913 143.183062 \nL 116.766529 139.622462 \nL 115.711983 137.790988 \nL 114.793742 135.959217 \nL 114.030369 134.15489 \nL 113.439091 132.406922 \nL 113.035271 130.744638 \nL 112.831822 129.196895 \nL 112.838653 127.791162 \nL 113.062227 126.552601 \nL 113.505128 125.503177 \nL 114.165818 124.660913 \nL 115.038525 124.039289 \nL 116.113263 123.646864 \nL 117.376058 123.487146 \nL 118.809288 123.55867 \nL 120.392199 123.855335 \nL 122.101535 124.36692 \nL 123.912213 125.079735 \nL 125.798042 125.97738 \nL 127.732461 127.0415 \nL 131.642979 129.590477 \nL 135.447766 132.567662 \nL 138.979457 135.822032 \nL 142.107074 139.220217 \nL 144.737361 142.6497 \nL 146.811315 146.017522 \nL 147.62909 147.653724 \nL 148.297961 149.246585 \nL 148.817242 150.788185 \nL 149.187111 152.271024 \nL 149.408418 153.687905 \nL 149.482515 155.031799 \nL 149.411121 156.295744 \nL 149.196206 157.472771 \nL 148.83991 158.555799 \nL 148.344477 159.537588 \nL 147.712241 160.410666 \nL 146.945611 161.167297 \nL 146.047108 161.799448 \nL 145.019405 162.298788 \nL 143.865416 162.656714 \nL 142.588392 162.86436 \nL 141.192048 162.912712 \nL 139.680717 162.792691 \nL 138.059526 162.495311 \nL 136.334588 162.011884 \nL 134.513227 161.334283 \nL 132.604191 160.455282 \nL 130.6179 159.368935 \nL 128.566693 158.071036 \nL 126.465055 156.559663 \nL 124.329818 154.83577 \nL 122.180349 152.903805 \nL 120.038636 150.772399 \nL 117.929355 148.454963 \nL 115.879771 145.970285 \nL 113.919541 143.342977 \nL 112.080353 140.603706 \nL 110.395403 137.789218 \nL 108.898661 134.941985 \nL 107.623984 132.109457 \nL 106.604022 129.342956 \nL 105.869031 126.696075 \nL 105.445556 124.222792 \nL 105.355149 121.975254 \nL 105.613147 120.001498 \nL 106.227613 118.343172 \nL 107.198591 117.033615 \nL 108.517657 116.096289 \nL 110.167947 115.543908 \nL 112.124552 115.378156 \nL 114.355391 115.590218 \nL 116.822375 116.161882 \nL 119.482929 117.067143 \nL 122.291601 118.274107 \nL 125.201744 119.747042 \nL 128.167127 121.448368 \nL 131.143383 123.340379 \nL 134.089187 125.386697 \nL 136.967169 127.553324 \nL 139.744537 129.809363 \nL 142.393394 132.127379 \nL 144.890815 134.483475 \nL 147.2187 136.857177 \nL 149.363464 139.231178 \nL 151.315603 141.590958 \nL 153.069203 143.924401 \nL 154.621381 146.221372 \nL 155.971763 148.473352 \nL 157.121938 150.673065 \nL 158.074983 152.814198 \nL 158.835016 154.891091 \nL 159.406806 156.898536 \nL 159.795454 158.831556 \nL 160.006091 160.685248 \nL 160.043682 162.454626 \nL 159.912836 164.134491 \nL 159.617675 165.719328 \nL 159.161751 167.203163 \nL 158.548002 168.579496 \nL 157.778722 169.841177 \nL 156.855587 170.980319 \nL 155.779692 171.988215 \nL 154.551625 172.855234 \nL 153.171576 173.570755 \nL 151.639453 174.123093 \nL 149.955064 174.49946 \nL 148.118298 174.685941 \nL 146.129372 174.667527 \nL 143.989093 174.428157 \nL 141.699193 173.950908 \nL 139.262695 173.218198 \nL 136.684333 172.212148 \nL 133.971031 170.915066 \nL 131.132426 169.310129 \nL 128.181428 167.382216 \nL 125.134835 165.119003 \nL 122.013918 162.512245 \nL 118.84501 159.559296 \nL 115.660042 156.264836 \nL 112.496912 152.642702 \nL 109.399698 148.717691 \nL 106.418581 144.527305 \nL 103.609416 140.123028 \nL 101.032848 135.571039 \nL 98.752896 130.952003 \nL 96.834985 126.359661 \nL 95.343445 121.898131 \nL 94.338459 117.677697 \nL 93.872764 113.809394 \nL 93.988202 110.398589 \nL 94.712487 107.53826 \nL 96.056538 105.302644 \nL 98.012688 103.742137 \nL 100.554073 102.880139 \nL 103.635326 102.712242 \nL 107.194565 103.207932 \nL 111.156569 104.314516 \nL 115.436726 105.962656 \nL 119.945454 108.072618 \nL 124.592602 110.56058 \nL 129.291448 113.344067 \nL 133.962004 116.346338 \nL 138.53347 119.499222 \nL 142.945777 122.744683 \nL 147.150255 126.035203 \nL 151.10958 129.333289 \nL 154.797139 132.610414 \nL 158.195997 135.845681 \nL 161.297628 139.024409 \nL 164.100542 142.136753 \nL 166.608897 145.176526 \nL 168.831209 148.140189 \nL 170.779157 151.026022 \nL 172.466554 153.833523 \nL 173.908465 156.562923 \nL 175.120473 159.214867 \nL 176.118098 161.790164 \nL 176.91634 164.289623 \nL 177.529329 166.713958 \nL 177.970073 169.063706 \nL 178.250289 171.339164 \nL 178.380291 173.540366 \nL 178.368927 175.667041 \nL 178.223554 177.718584 \nL 177.950055 179.694007 \nL 177.552847 181.591899 \nL 177.034934 183.410378 \nL 176.397945 185.147019 \nL 175.642186 186.798776 \nL 174.766698 188.361879 \nL 173.769303 189.831759 \nL 172.646659 191.202883 \nL 171.394318 192.468636 \nL 170.006779 193.621143 \nL 168.477552 194.651075 \nL 166.799217 195.547452 \nL 164.963524 196.297399 \nL 162.961484 196.885878 \nL 160.783496 197.295429 \nL 158.419533 197.505856 \nL 155.859347 197.49396 \nL 153.092751 197.233235 \nL 150.109996 196.693657 \nL 146.902227 195.841505 \nL 143.462085 194.639336 \nL 139.784436 193.046151 \nL 135.867298 191.01784 \nL 131.712952 188.508033 \nL 127.329277 185.469477 \nL 122.73131 181.856091 \nL 117.942996 177.625896 \nL 112.999178 172.74488 \nL 107.947595 167.192016 \nL 102.850918 160.965285 \nL 97.788447 154.088601 \nL 92.857322 146.619175 \nL 88.172754 138.65445 \nL 83.866877 130.337492 \nL 80.085778 121.85925 \nL 76.984249 113.455986 \nL 74.718144 105.400387 \nL 73.434337 97.985465 \nL 73.25905 91.501776 \nL 74.285517 86.210056 \nL 76.562754 82.313331 \nL 80.087128 79.933459 \nL 84.798622 79.097194 \nL 90.582739 79.734979 \nL 97.27825 81.693213 \nL 104.689781 84.757077 \nL 112.603327 88.679059 \nL 120.802305 93.207254 \nL 129.081986 98.108838 \nL 137.260681 103.18562 \nL 145.186875 108.281548 \nL 159.842439 118.115231 \nL 166.432645 122.73397 \nL 172.485394 127.119364 \nL 177.994942 131.268104 \nL 182.972708 135.187635 \nL 187.442876 138.891522 \nL 191.438561 142.396146 \nL 194.998623 145.718458 \nL 198.16511 148.874584 \nL 200.981295 151.879059 \nL 203.490209 154.74446 \nL 207.751245 160.098266 \nL 211.256058 164.997799 \nL 218.359291 175.442879 \nL 221.05628 178.904112 \nL 222.452869 180.471614 \nL 223.903361 181.924049 \nL 225.422784 183.255195 \nL 227.025298 184.457521 \nL 228.724327 185.522084 \nL 230.53267 186.438331 \nL 232.462565 187.193983 \nL 234.525718 187.774847 \nL 236.73327 188.164625 \nL 239.095732 188.344783 \nL 241.622812 188.294389 \nL 244.32322 187.990023 \nL 247.204341 187.405739 \nL 250.271824 186.513157 \nL 253.529069 185.281702 \nL 256.976578 183.679037 \nL 260.611169 181.671796 \nL 264.425047 179.226655 \nL 268.404742 176.311872 \nL 272.529925 172.899357 \nL 276.772116 168.967316 \nL 281.093385 164.503565 \nL 285.445107 159.509379 \nL 289.766915 154.003896 \nL 293.986009 148.028627 \nL 298.017129 141.651734 \nL 301.763295 134.971395 \nL 305.117735 128.117423 \nL 307.967111 121.250262 \nL 310.196205 114.556494 \nL 311.694054 108.240344 \nL 312.361196 102.511209 \nL 312.117536 97.568013 \nL 310.909988 93.582106 \nL 308.71889 90.681254 \nL 305.56216 88.937192 \nL 301.496409 88.359435 \nL 296.614533 88.896277 \nL 291.03997 90.443153 \nL 284.918259 92.856468 \nL 278.407066 95.970369 \nL 271.665931 99.613488 \nL 264.84702 103.623188 \nL 258.087701 107.85574 \nL 251.505467 112.192059 \nL 245.195245 116.53944 \nL 239.228837 120.830223 \nL 233.655991 125.018593 \nL 228.506615 129.076449 \nL 223.793631 132.989181 \nL 219.516045 136.751853 \nL 215.661986 140.366013 \nL 212.21148 143.837169 \nL 209.138885 147.17296 \nL 206.414933 150.381906 \nL 204.008386 153.472534 \nL 201.887336 156.452901 \nL 200.020189 159.33036 \nL 198.376377 162.111405 \nL 195.644381 167.406153 \nL 193.481752 172.373517 \nL 191.711036 177.039893 \nL 185.972882 192.989936 \nL 184.402536 196.32691 \nL 182.627215 199.395881 \nL 180.577076 202.179946 \nL 179.426308 203.456856 \nL 178.178963 204.650846 \nL 176.824848 205.755937 \nL 175.353201 206.764833 \nL 173.752613 207.668707 \nL 172.010979 208.456939 \nL 170.115467 209.116815 \nL 168.052504 209.633175 \nL 165.807802 209.988042 \nL 163.366419 210.160171 \nL 160.712868 210.124592 \nL 157.831315 209.852091 \nL 154.705848 209.308713 \nL 151.320873 208.45525 \nL 147.661658 207.246831 \nL 143.715049 205.632631 \nL 139.470444 203.555836 \nL 134.921001 200.953984 \nL 130.06521 197.7599 \nL 124.908812 193.903447 \nL 119.467119 189.314378 \nL 113.76776 183.926652 \nL 107.853783 177.684485 \nL 101.787016 170.550451 \nL 95.651466 162.515658 \nL 89.556386 153.611735 \nL 83.63848 143.923823 \nL 78.062537 133.602976 \nL 73.019575 122.875494 \nL 68.721653 112.045913 \nL 65.392486 101.490063 \nL 63.253579 91.635139 \nL 62.506311 82.92557 \nL 63.311389 75.777086 \nL 65.768402 70.525277 \nL 69.899067 67.378818 \nL 75.637727 66.388681 \nL 82.831962 67.441926 \nL 91.254166 70.2827 \nL 100.622446 74.555384 \nL 110.627143 79.858761 \nL 120.958181 85.798306 \nL 131.328801 92.026483 \nL 151.253471 104.316898 \nL 184.088299 124.865657 \nL 196.366136 132.810528 \nL 206.163372 139.494536 \nL 213.912775 145.179054 \nL 220.075369 150.064912 \nL 227.267866 156.170013 \nL 233.043406 160.982126 \nL 236.557562 163.489558 \nL 238.291466 164.525188 \nL 240.037304 165.408681 \nL 241.812234 166.133503 \nL 243.630923 166.692037 \nL 245.505681 167.075688 \nL 247.446549 167.275011 \nL 249.461347 167.27981 \nL 251.555653 167.079339 \nL 253.732753 166.662508 \nL 255.993532 166.018205 \nL 258.336313 165.135639 \nL 260.756649 164.00482 \nL 263.247101 162.617127 \nL 265.796971 160.966017 \nL 268.392026 159.047804 \nL 271.014257 156.862591 \nL 273.641637 154.415271 \nL 276.247997 151.716567 \nL 278.802978 148.784067 \nL 281.272146 145.643172 \nL 283.617315 142.327847 \nL 285.797085 138.881038 \nL 287.767695 135.354637 \nL 289.484159 131.808912 \nL 290.901693 128.311181 \nL 291.977432 124.933845 \nL 292.672342 121.751645 \nL 292.953263 118.838402 \nL 292.794869 116.263334 \nL 292.181503 114.087389 \nL 291.108577 112.359785 \nL 289.583476 111.115361 \nL 287.625832 110.372788 \nL 285.267052 110.134108 \nL 282.549143 110.385365 \nL 279.522933 111.098529 \nL 276.245828 112.234182 \nL 272.77925 113.744754 \nL 269.186041 115.577964 \nL 265.528031 117.67996 \nL 261.863841 119.998146 \nL 258.247187 122.483206 \nL 254.7256 125.090593 \nL 251.339685 127.781333 \nL 248.122801 130.522246 \nL 245.101144 133.285795 \nL 242.294129 136.049607 \nL 239.715001 138.795864 \nL 237.371587 141.510584 \nL 235.267102 144.182934 \nL 233.400983 146.804576 \nL 231.769707 149.369074 \nL 230.367524 151.871418 \nL 229.187125 154.307607 \nL 228.220246 156.674323 \nL 227.458149 158.968673 \nL 226.892045 161.187958 \nL 226.513429 163.329508 \nL 226.314342 165.390547 \nL 226.287571 167.368073 \nL 226.426794 169.258756 \nL 226.726681 171.058829 \nL 227.182949 172.764019 \nL 227.792393 174.369406 \nL 228.552879 175.869368 \nL 229.463323 177.257435 \nL 230.523639 178.526205 \nL 231.734675 179.667202 \nL 233.098118 180.670741 \nL 234.616395 181.525821 \nL 236.292534 182.219957 \nL 238.130005 182.739056 \nL 240.132523 183.067309 \nL 242.303823 183.187083 \nL 244.64737 183.07884 \nL 247.166033 182.721169 \nL 249.861676 182.090839 \nL 252.734687 181.162985 \nL 255.78341 179.911498 \nL 259.003504 178.309531 \nL 262.387179 176.330346 \nL 265.922358 173.948423 \nL 269.591764 171.140965 \nL 273.371907 167.889802 \nL 277.232093 164.183771 \nL 281.133452 160.021458 \nL 285.028116 155.414369 \nL 288.858615 150.390203 \nL 292.5577 144.99607 \nL 296.048733 139.301255 \nL 299.246804 133.398906 \nL 302.060746 127.406209 \nL 304.396233 121.462366 \nL 306.159837 115.723939 \nL 307.264125 110.357351 \nL 307.633316 105.528866 \nL 307.209189 101.392729 \nL 305.956532 98.078901 \nL 303.867458 95.682027 \nL 300.963935 94.253385 \nL 297.298008 93.797249 \nL 292.949525 94.272345 \nL 288.021486 95.598053 \nL 282.633659 97.664377 \nL 276.915071 100.34379 \nL 270.9964 103.503065 \nL 265.003002 107.01362 \nL 259.049262 110.75923 \nL 253.234529 114.640706 \nL 247.640816 118.577878 \nL 242.332011 122.509263 \nL 237.354393 126.390321 \nL 232.738054 130.19081 \nL 228.4989 133.891881 \nL 224.640927 137.48332 \nL 221.158549 140.961105 \nL 218.038809 144.325378 \nL 215.263369 147.578941 \nL 212.810237 150.726089 \nL 210.65521 153.771811 \nL 208.77305 156.721279 \nL 207.138392 159.579516 \nL 205.726444 162.351225 \nL 204.51349 165.040697 \nL 203.477237 167.651803 \nL 201.853992 172.652405 \nL 200.712806 177.376639 \nL 199.93792 181.843717 \nL 199.439493 186.069802 \nL 199.150078 190.068907 \nL 199.005125 195.669073 \nL 199.119002 200.824186 \nL 199.441101 205.567464 \nL 199.959966 209.927904 \nL 200.694409 213.929817 \nL 201.325166 216.407938 \nL 202.091488 218.738526 \nL 203.019335 220.922896 \nL 204.141379 222.959411 \nL 205.498156 224.842287 \nL 207.139561 226.559862 \nL 209.126683 228.092037 \nL 211.533975 229.406487 \nL 212.92271 229.967308 \nL 214.451725 230.45313 \nL 216.135214 230.853603 \nL 217.98868 231.156074 \nL 220.029011 231.345127 \nL 222.27452 231.402042 \nL 224.744962 231.304147 \nL 227.461515 231.024076 \nL 230.446687 230.528922 \nL 233.724136 229.779275 \nL 237.318376 228.728181 \nL 241.254304 227.320044 \nL 245.556504 225.489543 \nL 250.248257 223.160665 \nL 255.350177 220.246048 \nL 260.87835 216.64689 \nL 266.841857 212.253777 \nL 273.239613 206.949013 \nL 280.056302 200.611056 \nL 287.257468 193.121938 \nL 294.783671 184.378543 \nL 302.543896 174.308554 \nL 310.408693 162.891488 \nL 318.203738 150.184413 \nL 325.705092 136.350246 \nL 332.637916 121.684461 \nL 338.680859 106.633169 \nL 343.478401 91.793182 \nL 346.663012 77.884138 \nL 347.8875 65.685831 \nL 346.865271 55.942062 \nL 343.413084 49.245 \nL 337.487672 45.926849 \nL 329.206612 45.991166 \nL 318.845925 49.109475 \nL 306.812292 54.687903 \nL 293.595102 61.983774 \nL 279.709306 70.235914 \nL 251.810914 87.073161 \nL 238.5449 94.789853 \nL 226.076086 101.727347 \nL 214.548623 107.810928 \nL 204.032968 113.048406 \nL 194.542879 117.497223 \nL 186.051697 121.239642 \nL 178.50624 124.366052 \nL 171.837735 126.96487 \nL 160.824666 130.894681 \nL 152.401242 133.562053 \nL 146.015235 135.353829 \nL 139.278546 136.971343 \nL 133.900793 137.98706 \nL 129.63325 138.721379 \nL 129.421445 138.961582 \nL 129.499038 139.287503 \nL 130.736249 141.777738 \nL 130.683588 142.314189 \nL 130.465906 142.567344 \nL 130.104601 142.661486 \nL 129.623795 142.581419 \nL 128.862173 142.204499 \nL 128.069053 141.560374 \nL 127.374727 140.740908 \nL 126.904855 139.877965 \nL 126.756493 139.122781 \nL 126.886406 138.713575 \nL 127.220224 138.491821 \nL 127.732142 138.485277 \nL 128.376984 138.699781 \nL 129.338878 139.298251 \nL 130.268917 140.165959 \nL 131.010346 141.167201 \nL 131.436596 142.145714 \nL 131.50035 142.771015 \nL 131.330029 143.23778 \nL 130.933329 143.498483 \nL 130.337077 143.520208 \nL 129.586094 143.288234 \nL 128.741132 142.809249 \nL 127.875431 142.11347 \nL 126.828778 140.945175 \nL 126.228872 139.990123 \nL 125.865732 139.071238 \nL 125.788988 138.285393 \nL 125.909158 137.879251 \nL 126.165739 137.592466 \nL 126.550655 137.440474 \nL 127.049433 137.432254 \nL 127.965475 137.692165 \nL 129.004332 138.257192 \nL 130.066142 139.075774 \nL 131.049305 140.073586 \nL 131.860934 141.162172 \nL 132.425021 142.247175 \nL 132.687858 143.235355 \nL 132.620812 144.040252 \nL 132.39052 144.437451 \nL 132.017622 144.701209 \nL 131.512824 144.816924 \nL 130.891754 144.774503 \nL 129.787799 144.405131 \nL 128.555767 143.679041 \nL 127.300911 142.639259 \nL 126.140723 141.36506 \nL 125.195299 139.969564 \nL 124.574563 138.591163 \nL 124.384519 137.755256 \nL 124.393292 137.035651 \nL 124.607494 136.47008 \nL 125.023424 136.088913 \nL 125.626857 135.91312 \nL 126.393604 135.952997 \nL 127.290848 136.207794 \nL 128.279115 136.666245 \nL 129.835972 137.688744 \nL 131.34659 139.02263 \nL 132.667771 140.545832 \nL 133.679058 142.126661 \nL 134.291151 143.634153 \nL 134.449002 144.537125 \nL 134.396905 145.31897 \nL 134.134118 145.949156 \nL 133.666486 146.400705 \nL 133.006305 146.65089 \nL 132.172224 146.68201 \nL 131.189197 146.482441 \nL 130.088435 146.047834 \nL 129.505331 145.743349 \nL 129.505331 145.743349 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pa813d11797\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.069615pt\" version=\"1.1\" viewBox=\"0 0 293.254083 285.069615\" width=\"293.254083pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T17:33:16.192691</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.069615 \nL 293.254083 285.069615 \nL 293.254083 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 34.279875 209.979127 \nL 121.790772 135.959263 \nL 120.848809 29.550495 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 65.080834 220.03872 \nL 150.936873 144.430884 \nL 151.242596 37.254434 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.575156 230.324766 \nL 180.684243 153.07727 \nL 182.290739 45.124233 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 128.786521 240.844998 \nL 211.051681 161.903885 \nL 214.014598 53.165307 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 161.739698 251.607505 \nL 242.058777 170.916424 \nL 246.436476 61.383308 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 35.041868 209.334605 \nL 32.75262 211.270934 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(16.196444 233.274)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 65.829093 219.379777 \nL 63.58107 221.359465 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(47.028953 243.546739)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 97.308867 229.650911 \nL 95.104517 231.675431 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(85.929265 254.051606)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 129.504824 240.155719 \nL 127.34673 242.226612 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(114.997829 264.796561)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 162.441685 250.902267 \nL 160.332576 253.021145 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(147.993226 275.789928)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 36.840108 84.07369 \nL 41.537934 195.757167 \nL 189.695031 243.259268 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 52.158678 72.894895 \nL 56.128678 183.526916 \nL 202.909518 229.697954 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 67.043215 62.032837 \nL 70.323667 171.628395 \nL 215.746985 216.523554 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.511908 51.474244 \nL 84.138787 160.048287 \nL 228.223342 203.719743 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 95.581943 41.206573 \nL 97.589086 148.77398 \nL 240.353614 191.271101 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.269573 31.217965 \nL 110.688825 137.793519 \nL 252.152003 179.163051 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 188.447017 242.85913 \nL 192.194261 244.060571 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(191.923774 264.168136)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 201.673996 229.309311 \nL 205.383685 230.476223 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(204.960922 250.406145)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 214.523756 216.145918 \nL 218.196492 217.279767 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(224.99699 237.03702)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 227.012208 203.352653 \nL 230.648587 204.454825 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(234.124252 224.044176)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 239.154378 190.914121 \nL 242.754991 191.985925 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(246.091144 211.411946)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 250.964472 178.815769 \nL 254.529901 179.858444 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(257.730442 199.125523)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.14356 154.120846 \nL 114.939415 113.79498 \nL 26.262456 186.291355 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.017588 135.034322 \nL 114.727043 95.326618 \nL 25.320575 166.732583 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.905206 115.651008 \nL 114.511529 76.584939 \nL 24.363483 146.857954 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.806734 95.963928 \nL 114.292801 57.563829 \nL 23.39081 126.659754 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.722503 75.965886 \nL 114.070788 38.256993 \nL 22.40217 106.130016 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.9496 153.782266 \nL 259.534344 154.798818 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.181825 159.155358)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 256.814068 134.700811 \nL 260.427535 135.70215 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.194716 140.107269)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 257.691973 115.322765 \nL 261.334627 116.308294 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.223309 120.763898)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 258.58363 95.64116 \nL 262.255945 96.610258 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.267971 101.118325)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 259.489366 75.648806 \nL 263.191828 76.600829 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 50 -->\n     <g transform=\"translate(273.329083 81.163413)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_21\">\n    <path clip-path=\"url(#p963855f2d1)\" d=\"M 140.902355 191.284367 \nL 141.106975 190.473457 \nL 141.594207 189.869843 \nL 142.340643 189.360054 \nL 143.972002 188.603656 \nL 158.379978 182.733603 \nL 163.376543 180.362333 \nL 169.497094 177.179225 \nL 176.914676 172.896245 \nL 181.153406 170.231047 \nL 185.757288 167.148462 \nL 190.722534 163.593798 \nL 196.029743 159.512724 \nL 201.637934 154.855901 \nL 207.47724 149.586002 \nL 213.440455 143.687754 \nL 219.373897 137.181501 \nL 225.068684 130.140313 \nL 230.254394 122.709707 \nL 234.59821 115.127302 \nL 237.713812 107.737126 \nL 239.185281 100.99015 \nL 238.610392 95.419933 \nL 235.664304 91.582892 \nL 230.176658 89.960026 \nL 222.203675 90.833907 \nL 212.066784 94.177424 \nL 200.330505 99.605761 \nL 187.711741 106.430967 \nL 162.655864 120.956495 \nL 151.277877 127.254154 \nL 141.044646 132.362485 \nL 132.024391 136.176282 \nL 124.17722 138.760004 \nL 117.407879 140.270007 \nL 111.603491 140.89352 \nL 106.655571 140.811548 \nL 102.470219 140.181944 \nL 98.97095 139.135575 \nL 96.097599 137.779282 \nL 93.803401 136.201371 \nL 92.051419 134.477162 \nL 90.810949 132.673495 \nL 90.054206 130.851735 \nL 89.753502 129.069329 \nL 89.879015 127.380076 \nL 90.397283 125.833458 \nL 91.270431 124.473346 \nL 92.45614 123.336493 \nL 93.908278 122.451125 \nL 95.578072 121.835916 \nL 97.415609 121.49959 \nL 99.371506 121.44114 \nL 101.398517 121.650691 \nL 103.452946 122.110903 \nL 105.495724 122.798706 \nL 107.493138 123.687153 \nL 109.417148 124.747234 \nL 111.2454 125.949503 \nL 112.960949 127.265395 \nL 114.551782 128.668219 \nL 116.010231 130.133822 \nL 117.332308 131.640945 \nL 118.517044 133.171354 \nL 120.481947 136.243664 \nL 121.934771 139.260036 \nL 122.919241 142.16474 \nL 123.481999 144.927392 \nL 123.665484 147.53444 \nL 123.503813 149.982483 \nL 123.020736 152.273304 \nL 122.228975 154.41023 \nL 121.13039 156.395357 \nL 119.716661 158.227205 \nL 117.970351 159.898479 \nL 115.866371 161.393589 \nL 113.374111 162.685616 \nL 110.460628 163.732545 \nL 108.836162 164.145717 \nL 107.095598 164.472638 \nL 105.236805 164.70163 \nL 103.258981 164.819111 \nL 101.163123 164.809444 \nL 98.952588 164.654834 \nL 96.633763 164.335309 \nL 94.216813 163.82881 \nL 91.716536 163.111442 \nL 89.15327 162.157959 \nL 86.553821 160.942569 \nL 83.952342 159.440085 \nL 81.391049 157.62756 \nL 78.920663 155.486407 \nL 76.60032 153.005061 \nL 74.496855 150.182049 \nL 72.683143 147.029367 \nL 71.235391 143.575783 \nL 70.229257 139.869626 \nL 69.734872 135.980444 \nL 69.811106 131.998835 \nL 70.49957 128.033882 \nL 71.819195 124.207855 \nL 73.762267 120.648259 \nL 76.292778 117.47798 \nL 79.347651 114.804706 \nL 82.840901 112.711347 \nL 86.670223 111.248963 \nL 90.725083 110.433529 \nL 94.895001 110.246841 \nL 99.076927 110.64127 \nL 103.180801 111.547173 \nL 107.132943 112.881505 \nL 110.877287 114.556248 \nL 114.374873 116.485455 \nL 117.602137 118.590441 \nL 120.548514 120.802932 \nL 123.213845 123.066392 \nL 125.605861 125.336009 \nL 127.737956 127.577745 \nL 129.627315 129.766907 \nL 132.756804 133.925753 \nL 135.158417 137.742164 \nL 136.991428 141.203757 \nL 138.397978 144.327695 \nL 139.965865 148.44617 \nL 142.908677 156.806644 \nL 144.070918 159.161046 \nL 144.970327 160.522471 \nL 146.010441 161.717819 \nL 147.228217 162.741094 \nL 148.664165 163.57994 \nL 150.363865 164.21462 \nL 152.379195 164.61647 \nL 154.769143 164.745812 \nL 157.599902 164.54926 \nL 160.943697 163.956531 \nL 164.875435 162.877048 \nL 169.465678 161.197233 \nL 172.025588 160.090258 \nL 174.767711 158.780262 \nL 177.692416 157.247423 \nL 180.795582 155.47176 \nL 184.06716 153.434088 \nL 187.48946 151.11738 \nL 191.035189 148.508628 \nL 194.665293 145.601287 \nL 198.326678 142.39836 \nL 201.950066 138.916115 \nL 205.44825 135.188277 \nL 208.715211 131.270369 \nL 211.626686 127.243664 \nL 214.042901 123.217782 \nL 215.814176 119.330744 \nL 216.789997 115.745058 \nL 216.831664 112.638528 \nL 215.827929 110.189033 \nL 213.711838 108.553975 \nL 210.475893 107.846832 \nL 206.18187 108.115511 \nL 200.961702 109.328224 \nL 195.007593 111.372192 \nL 188.552067 114.067418 \nL 181.841874 117.193185 \nL 168.561725 123.844139 \nL 156.572331 129.884908 \nL 146.539274 134.65065 \nL 138.535795 138.140889 \nL 122.288553 144.887563 \nL 119.649716 146.255266 \nL 116.409575 148.203979 \nL 111.638921 151.149283 \nL 109.651458 152.135383 \nL 107.523795 152.94827 \nL 105.2221 153.537986 \nL 102.732869 153.849293 \nL 100.064504 153.821819 \nL 97.250593 153.391397 \nL 95.807515 153.004811 \nL 94.354314 152.493666 \nL 92.904244 151.85104 \nL 91.472891 151.071107 \nL 90.078173 150.149614 \nL 88.740243 149.084416 \nL 87.481289 147.876056 \nL 86.32517 146.528399 \nL 85.296895 145.049216 \nL 84.421926 143.450727 \nL 83.725291 141.750016 \nL 83.230556 139.969216 \nL 82.958676 138.135448 \nL 82.926799 136.280392 \nL 83.147108 134.439495 \nL 83.625822 132.650791 \nL 84.362438 130.953369 \nL 85.349317 129.385599 \nL 86.571707 127.983257 \nL 88.008191 126.777674 \nL 89.631574 125.794163 \nL 91.410113 125.050809 \nL 93.309 124.557796 \nL 95.291959 124.317286 \nL 97.322789 124.323872 \nL 99.366791 124.565466 \nL 101.391911 125.024543 \nL 103.36961 125.679595 \nL 105.275399 126.50657 \nL 107.089084 127.480275 \nL 108.794746 128.575551 \nL 110.380526 129.768244 \nL 111.83826 131.035893 \nL 113.163016 132.358182 \nL 114.352606 133.717185 \nL 116.328197 136.485775 \nL 117.783744 139.245321 \nL 118.752902 141.931279 \nL 119.27414 144.503277 \nL 119.383826 146.937645 \nL 119.111965 149.221049 \nL 118.480006 151.345417 \nL 117.500099 153.303927 \nL 116.175436 155.087702 \nL 114.501412 156.682926 \nL 112.467577 158.067986 \nL 110.060521 159.210532 \nL 107.268022 160.064271 \nL 105.72515 160.36375 \nL 104.084972 160.565691 \nL 102.349324 160.658987 \nL 100.521688 160.631153 \nL 98.607616 160.468354 \nL 96.615223 160.155486 \nL 94.555705 159.676372 \nL 92.443901 159.014084 \nL 90.298849 158.151434 \nL 88.144306 157.071688 \nL 86.009195 155.7595 \nL 83.927872 154.202127 \nL 81.940155 152.390926 \nL 80.090996 150.323075 \nL 78.429694 148.003473 \nL 77.008557 145.446684 \nL 75.88094 142.678687 \nL 75.09866 139.738209 \nL 74.708873 136.677268 \nL 74.750625 133.560666 \nL 75.251361 130.464126 \nL 76.22383 127.470978 \nL 77.663821 124.667534 \nL 79.54915 122.137421 \nL 81.840173 119.955645 \nL 84.481873 118.182964 \nL 87.407345 116.861567 \nL 90.542228 116.012496 \nL 93.809549 115.635282 \nL 97.134338 115.709657 \nL 100.447537 116.198956 \nL 103.688865 117.054631 \nL 106.808513 118.221057 \nL 109.767761 119.640123 \nL 112.538686 121.255038 \nL 115.103224 123.013157 \nL 117.451857 124.867817 \nL 119.58213 126.779223 \nL 121.49716 128.71462 \nL 123.204268 130.647937 \nL 124.713755 132.559119 \nL 126.037889 134.433309 \nL 128.184104 138.032118 \nL 129.752622 141.397983 \nL 130.847165 144.519642 \nL 131.557869 147.405563 \nL 131.958236 150.074014 \nL 132.104816 152.547129 \nL 132.038338 154.847529 \nL 131.785426 156.996529 \nL 131.360398 159.013298 \nL 130.766831 160.914498 \nL 129.998763 162.714174 \nL 129.041464 164.423649 \nL 127.871802 166.051307 \nL 126.458246 167.602077 \nL 124.760603 169.076469 \nL 122.729625 170.468951 \nL 120.306719 171.765333 \nL 117.424142 172.93879 \nL 114.006327 173.943996 \nL 109.973407 174.708702 \nL 107.701867 174.968166 \nL 105.248693 175.122227 \nL 102.607105 175.148616 \nL 99.772825 175.02067 \nL 96.745178 174.70681 \nL 93.528459 174.170089 \nL 90.133627 173.36793 \nL 86.580322 172.25217 \nL 82.899206 170.769637 \nL 79.134543 168.863465 \nL 75.346845 166.475507 \nL 71.615314 163.550117 \nL 68.039591 160.039682 \nL 64.740204 155.912018 \nL 61.856876 151.159578 \nL 59.543825 145.809838 \nL 57.961288 139.935611 \nL 57.262986 133.663137 \nL 57.580069 127.175252 \nL 59.003265 120.706648 \nL 61.566282 114.529213 \nL 65.234244 108.927256 \nL 69.900734 104.16561 \nL 75.395528 100.456293 \nL 81.502315 97.931243 \nL 87.983001 96.627666 \nL 94.60335 96.489411 \nL 101.154714 97.383168 \nL 107.468339 99.124441 \nL 113.421248 101.506367 \nL 118.934899 104.325281 \nL 123.96912 107.399147 \nL 128.51388 110.577798 \nL 132.58093 113.745993 \nL 136.196512 116.821399 \nL 139.395594 119.749768 \nL 144.70363 125.053558 \nL 148.828415 129.569323 \nL 158.89066 140.995237 \nL 160.773228 142.577171 \nL 162.66121 143.754262 \nL 164.633006 144.550532 \nL 166.745116 144.976912 \nL 169.034453 145.03407 \nL 171.518807 144.71567 \nL 174.195467 144.012448 \nL 177.038096 142.917502 \nL 179.992267 141.433192 \nL 182.970489 139.579833 \nL 185.848258 137.405735 \nL 188.463452 134.997194 \nL 190.622193 132.485522 \nL 191.464707 131.244508 \nL 192.114365 130.046721 \nL 192.546795 128.919091 \nL 192.740557 127.888939 \nL 192.678417 126.982759 \nL 192.348602 126.224852 \nL 191.745869 125.635908 \nL 190.872329 125.231698 \nL 189.737853 125.021973 \nL 188.360044 125.009776 \nL 186.763663 125.191231 \nL 184.979623 125.555877 \nL 180.993997 126.765441 \nL 176.713129 128.464737 \nL 172.439105 130.459241 \nL 168.422307 132.577598 \nL 164.839029 134.696514 \nL 161.790178 136.744082 \nL 159.313971 138.688741 \nL 157.404287 140.523307 \nL 156.028598 142.250901 \nL 155.142478 143.875402 \nL 154.699914 145.396438 \nL 154.659863 146.807548 \nL 154.989901 148.096076 \nL 155.667818 149.243715 \nL 156.68184 150.227038 \nL 158.029933 151.017718 \nL 159.718431 151.582367 \nL 161.760022 151.882088 \nL 164.170937 151.871985 \nL 166.967031 151.500958 \nL 170.158215 150.712392 \nL 173.740661 149.446515 \nL 177.686095 147.645718 \nL 181.927802 145.264309 \nL 184.124276 143.848619 \nL 186.343729 142.284414 \nL 188.559324 140.577585 \nL 190.738692 138.738997 \nL 192.843733 136.785465 \nL 194.830658 134.740655 \nL 196.650456 132.6358 \nL 198.24986 130.510053 \nL 199.572909 128.410307 \nL 200.563187 126.390284 \nL 201.166725 124.508732 \nL 201.335488 122.826615 \nL 201.031184 121.403388 \nL 200.229103 120.292535 \nL 198.921447 119.53685 \nL 197.119675 119.164056 \nL 194.855367 119.183524 \nL 192.179269 119.584701 \nL 189.158498 120.337741 \nL 185.872113 121.396367 \nL 182.405668 122.702593 \nL 175.273092 125.802316 \nL 168.371534 129.155758 \nL 162.135502 132.41226 \nL 156.796106 135.395306 \nL 152.415339 138.06951 \nL 148.94327 140.478806 \nL 146.270831 142.693067 \nL 144.267726 144.776392 \nL 142.805496 146.774486 \nL 141.769521 148.713581 \nL 141.063862 150.604523 \nL 140.611963 152.447986 \nL 140.355179 154.238995 \nL 140.24512 156.810879 \nL 140.386613 159.222523 \nL 140.734759 161.452154 \nL 141.280644 163.482217 \nL 142.043734 165.296703 \nL 142.694157 166.377669 \nL 143.479916 167.347545 \nL 144.425925 168.196832 \nL 145.563202 168.912709 \nL 146.929734 169.477773 \nL 148.571501 169.868418 \nL 150.543557 170.052717 \nL 152.911012 169.98767 \nL 155.749594 169.615669 \nL 159.145217 168.860122 \nL 163.191553 167.620379 \nL 167.983949 165.76658 \nL 173.606982 163.136151 \nL 176.748139 161.470183 \nL 180.111565 159.535594 \nL 183.692011 157.305652 \nL 187.476095 154.754668 \nL 191.439809 151.860029 \nL 195.545606 148.60503 \nL 199.739174 144.982659 \nL 203.946068 141.000435 \nL 208.068559 136.686246 \nL 211.983239 132.094907 \nL 215.540213 127.314819 \nL 218.564901 122.473551 \nL 220.863743 117.74057 \nL 222.234992 113.324769 \nL 222.485362 109.464247 \nL 221.452227 106.40632 \nL 219.029239 104.377631 \nL 215.191063 103.547504 \nL 210.010875 103.991771 \nL 203.664148 105.667455 \nL 196.414442 108.408563 \nL 188.582115 111.947964 \nL 180.502825 115.961572 \nL 157.58132 127.835501 \nL 150.9824 131.061462 \nL 145.035846 133.782198 \nL 139.742388 136.010382 \nL 135.07184 137.794778 \nL 130.975966 139.20186 \nL 124.278827 141.162514 \nL 119.191013 142.383316 \nL 102.364159 145.890648 \nL 100.955013 145.936159 \nL 99.573442 145.821703 \nL 98.225839 145.52825 \nL 96.933081 145.043327 \nL 95.727901 144.363059 \nL 94.65196 143.494291 \nL 93.752267 142.456538 \nL 93.076764 141.283309 \nL 92.669188 140.022263 \nL 92.563545 138.733662 \nL 92.778905 137.486738 \nL 93.315409 136.354079 \nL 94.152298 135.404701 \nL 95.248625 134.696897 \nL 96.546554 134.27221 \nL 97.976776 134.151764 \nL 99.464965 134.335529 \nL 100.93813 134.804392 \nL 102.329848 135.524303 \nL 103.583799 136.45138 \nL 104.655454 137.536916 \nL 105.512182 138.731506 \nL 106.132226 139.987964 \nL 106.503026 141.262939 \nL 106.61938 142.517459 \nL 106.481768 143.716678 \nL 106.095072 144.829129 \nL 105.467812 145.825761 \nL 104.611966 146.678925 \nL 103.543353 147.361555 \nL 102.282571 147.84663 \nL 100.856368 148.107157 \nL 99.299323 148.116784 \nL 97.655603 147.851275 \nL 95.980447 147.291017 \nL 94.340884 146.424626 \nL 92.815095 145.25354 \nL 91.489755 143.79718 \nL 90.454831 142.097776 \nL 89.795684 140.223483 \nL 89.63001 139.249194 \nL 89.583086 138.268216 \nL 89.659719 137.295503 \nL 89.862536 136.346717 \nL 90.191779 135.437789 \nL 90.645173 134.584444 \nL 91.217899 133.801686 \nL 91.902678 133.103297 \nL 92.689946 132.501379 \nL 93.568121 132.005946 \nL 94.523977 131.624624 \nL 95.543034 131.362475 \nL 96.610023 131.221911 \nL 97.70933 131.202771 \nL 98.825429 131.302469 \nL 101.048659 131.837599 \nL 103.170724 132.76961 \nL 105.102499 134.023379 \nL 106.777642 135.51752 \nL 108.151813 137.173084 \nL 109.199496 138.91906 \nL 109.909712 140.694766 \nL 110.281608 142.449974 \nL 110.320622 144.143525 \nL 110.035539 145.74117 \nL 109.436582 147.213165 \nL 108.534523 148.531859 \nL 107.34081 149.66953 \nL 105.868609 150.596504 \nL 104.134755 151.27972 \nL 102.162588 151.681899 \nL 99.985555 151.7616 \nL 97.651433 151.474597 \nL 95.226746 150.777119 \nL 94.007331 150.262232 \nL 92.800612 149.631518 \nL 91.621602 148.882638 \nL 90.486809 148.01486 \nL 89.414081 147.029468 \nL 88.422353 145.93018 \nL 87.531276 144.723543 \nL 86.760736 143.419284 \nL 86.130259 142.030572 \nL 85.658304 140.574145 \nL 85.361503 139.070274 \nL 85.253847 137.542494 \nL 85.345887 136.017126 \nL 85.644039 134.522529 \nL 86.149994 133.088145 \nL 86.860368 131.743364 \nL 87.766582 130.516291 \nL 88.855019 129.432487 \nL 90.107484 128.513832 \nL 91.501892 127.777577 \nL 93.013177 127.235654 \nL 94.614318 126.894363 \nL 96.277418 126.754389 \nL 97.974745 126.811152 \nL 99.679671 127.055431 \nL 101.367448 127.4742 \nL 103.01579 128.051575 \nL 104.605267 128.769768 \nL 106.119498 129.610008 \nL 107.545164 130.55334 \nL 108.871905 131.581297 \nL 110.092097 132.676408 \nL 112.194239 135.005136 \nL 113.833511 137.429733 \nL 115.014908 139.866348 \nL 115.756754 142.254358 \nL 116.082956 144.551572 \nL 116.017443 146.728947 \nL 115.580626 148.765695 \nL 114.78755 150.645045 \nL 113.647375 152.350612 \nL 112.164003 153.86328 \nL 110.337687 155.158335 \nL 108.167719 156.20283 \nL 105.656316 156.953101 \nL 102.813997 157.352689 \nL 101.276023 157.399509 \nL 99.666738 157.331153 \nL 97.993289 157.136744 \nL 96.265024 156.80479 \nL 94.493841 156.323426 \nL 92.694551 155.68076 \nL 90.885197 154.865355 \nL 89.087327 153.866828 \nL 87.326153 152.676639 \nL 85.630549 151.288995 \nL 84.032878 149.701927 \nL 82.568508 147.918433 \nL 81.275045 145.947666 \nL 80.191187 143.806032 \nL 79.355232 141.518081 \nL 78.80324 139.117014 \nL 78.566948 136.644647 \nL 78.671582 134.150661 \nL 79.133757 131.69108 \nL 79.959698 129.325923 \nL 81.144038 127.116152 \nL 82.669361 125.120195 \nL 84.506652 123.39034 \nL 86.616639 121.969414 \nL 88.951924 120.888198 \nL 91.459689 120.163852 \nL 94.084645 119.79952 \nL 96.771946 119.785153 \nL 99.469765 120.099306 \nL 102.131309 120.711659 \nL 104.716229 121.585836 \nL 107.19135 122.682262 \nL 109.530837 123.960666 \nL 111.715892 125.382185 \nL 113.73412 126.910849 \nL 115.578702 128.514553 \nL 117.247474 130.165536 \nL 118.742004 131.840474 \nL 120.066727 133.520302 \nL 121.228157 135.189844 \nL 123.09365 138.454078 \nL 124.409156 141.571697 \nL 125.24601 144.513695 \nL 125.667993 147.271559 \nL 125.726987 149.848579 \nL 125.461186 152.253837 \nL 124.894861 154.498251 \nL 124.038941 156.59185 \nL 122.891983 158.541788 \nL 121.44126 160.35065 \nL 119.663929 162.014627 \nL 117.528369 163.521313 \nL 114.995961 164.846742 \nL 112.023808 165.951425 \nL 108.569135 166.775136 \nL 106.649202 167.055562 \nL 104.596455 167.230436 \nL 102.40947 167.283373 \nL 100.089026 167.195399 \nL 97.638821 166.944793 \nL 95.066326 166.507032 \nL 92.383766 165.8549 \nL 89.609225 164.958814 \nL 86.767852 163.787465 \nL 83.89307 162.30889 \nL 81.027714 160.492087 \nL 78.224953 158.309274 \nL 75.54873 155.738855 \nL 73.073505 152.769104 \nL 70.882975 149.402461 \nL 69.067459 145.660069 \nL 67.719753 141.586093 \nL 66.92936 137.250988 \nL 66.775365 132.752803 \nL 67.318508 128.215529 \nL 68.593498 123.783766 \nL 70.602761 119.613487 \nL 73.313006 115.859568 \nL 76.655587 112.66159 \nL 80.531011 110.130183 \nL 84.817145 108.336404 \nL 89.379781 107.306088 \nL 94.083837 107.020198 \nL 98.803384 107.420716 \nL 103.4292 108.420552 \nL 107.873238 109.915347 \nL 112.070068 111.794913 \nL 115.975916 113.952784 \nL 119.5661 116.29299 \nL 122.831681 118.733877 \nL 125.775944 121.209492 \nL 128.411134 123.669086 \nL 130.755658 126.075511 \nL 132.831812 128.403055 \nL 136.277567 132.762314 \nL 138.948317 136.688135 \nL 141.033233 140.183402 \nL 143.419246 144.688501 \nL 146.464486 150.545904 \nL 147.629491 152.401212 \nL 148.87016 154.006701 \nL 150.244464 155.369542 \nL 151.805899 156.487727 \nL 153.606286 157.349608 \nL 155.697742 157.933134 \nL 158.133703 158.204759 \nL 160.968686 158.11808 \nL 164.256318 157.612477 \nL 168.044815 156.612296 \nL 172.368778 155.027661 \nL 174.735469 153.985149 \nL 177.235718 152.758804 \nL 179.862888 151.336371 \nL 182.605641 149.706876 \nL 185.44685 147.861633 \nL 188.362405 145.795534 \nL 191.319964 143.508632 \nL 194.27773 141.008055 \nL 197.183421 138.310144 \nL 199.973575 135.442751 \nL 202.573461 132.447429 \nL 204.897909 129.381244 \nL 206.853338 126.3177 \nL 208.341336 123.346237 \nL 209.263975 120.569688 \nL 209.530806 118.099217 \nL 209.067231 116.046466 \nL 207.823417 114.513323 \nL 205.782502 113.580267 \nL 202.966565 113.295177 \nL 199.438774 113.664845 \nL 195.300684 114.651539 \nL 190.684524 116.175981 \nL 185.741486 118.126738 \nL 180.628021 120.374292 \nL 170.464966 125.244505 \nL 149.653525 135.731474 \nL 141.375483 140.043263 \nL 137.345558 142.369803 \nL 134.227923 144.456398 \nL 131.791809 146.41888 \nL 129.835111 148.324014 \nL 127.437497 151.132965 \nL 123.091312 156.542706 \nL 121.453897 158.228782 \nL 119.609228 159.821643 \nL 117.499308 161.294977 \nL 115.069547 162.615697 \nL 112.268561 163.740231 \nL 109.050036 164.609761 \nL 107.272179 164.92496 \nL 105.377367 165.144526 \nL 103.363921 165.254196 \nL 101.232091 165.23766 \nL 98.98461 165.076421 \nL 96.627366 164.749757 \nL 94.170168 164.234793 \nL 91.627611 163.506734 \nL 89.020019 162.539361 \nL 86.374413 161.30581 \nL 83.725425 159.779765 \nL 81.11607 157.937136 \nL 78.598202 155.758245 \nL 76.232488 153.230586 \nL 74.08766 150.352043 \nL 72.238829 147.134425 \nL 70.76467 143.606954 \nL 69.743383 139.819226 \nL 69.247497 135.842974 \nL 69.337825 131.771929 \nL 70.057198 127.71915 \nL 71.424763 123.81141 \nL 73.431848 120.180851 \nL 76.040295 116.954524 \nL 79.18383 114.243318 \nL 82.772545 112.131879 \nL 86.699927 110.671338 \nL 90.851385 109.876066 \nL 95.112954 109.724914 \nL 99.378925 110.166394 \nL 103.557535 111.126662 \nL 107.574311 112.518645 \nL 111.373178 114.250829 \nL 114.915769 116.234525 \nL 118.179493 118.389149 \nL 121.154981 120.645263 \nL 123.843339 122.945824 \nL 126.253553 125.245996 \nL 128.400183 127.512047 \nL 130.30147 129.719781 \nL 133.450601 133.900939 \nL 135.871067 137.723835 \nL 137.726572 141.180071 \nL 139.162514 144.289694 \nL 140.792783 148.373634 \nL 143.248687 154.83609 \nL 144.488014 157.369878 \nL 145.422763 158.830254 \nL 146.490193 160.111194 \nL 147.729735 161.20875 \nL 149.183212 162.112159 \nL 150.896539 162.802943 \nL 152.921039 163.253505 \nL 155.314239 163.42523 \nL 158.139885 163.266031 \nL 161.466594 162.707469 \nL 165.364301 161.661838 \nL 169.897022 160.020073 \nL 172.416863 158.935758 \nL 175.109857 157.652333 \nL 177.97515 156.151387 \nL 181.007378 154.414618 \nL 184.195301 152.424788 \nL 187.520188 150.167066 \nL 190.953998 147.630845 \nL 194.457393 144.812073 \nL 197.97773 141.716155 \nL 201.447177 138.36137 \nL 204.781306 134.782669 \nL 207.878549 131.035517 \nL 210.621059 127.19919 \nL 212.877598 123.378751 \nL 214.509073 119.704567 \nL 215.377139 116.328157 \nL 215.355915 113.413321 \nL 214.346125 111.122068 \nL 212.290063 109.596071 \nL 209.184728 108.93602 \nL 205.090022 109.182924 \nL 200.129039 110.306305 \nL 194.478919 112.203598 \nL 188.353104 114.712481 \nL 181.978294 117.634062 \nL 169.318511 123.906592 \nL 152.730855 132.186329 \nL 144.012095 136.255528 \nL 125.988593 144.268531 \nL 123.122997 145.833169 \nL 120.768482 147.324054 \nL 116.836266 150.179602 \nL 114.029798 152.160167 \nL 112.047285 153.345125 \nL 109.900163 154.373148 \nL 107.544605 155.195527 \nL 104.954536 155.75639 \nL 102.123363 155.991544 \nL 99.067945 155.828038 \nL 97.469277 155.571901 \nL 95.834627 155.185657 \nL 94.17562 154.658942 \nL 92.50666 153.981812 \nL 90.84513 153.145219 \nL 89.211501 152.14158 \nL 87.629354 150.965473 \nL 86.125233 149.614445 \nL 84.728324 148.089892 \nL 83.469903 146.39797 \nL 82.382512 144.550476 \nL 81.498854 142.565591 \nL 80.850447 140.468402 \nL 80.466034 138.291027 \nL 80.369886 136.072285 \nL 80.58008 133.856782 \nL 81.106956 131.693388 \nL 81.951888 129.633158 \nL 83.106568 127.726764 \nL 84.552909 126.021751 \nL 86.263626 124.559766 \nL 88.203493 123.37414 \nL 90.33115 122.488101 \nL 92.601278 121.913783 \nL 94.966926 121.652108 \nL 97.381753 121.693575 \nL 99.802012 122.019729 \nL 102.1881 122.605134 \nL 104.505641 123.419553 \nL 106.726068 124.430135 \nL 108.826774 125.60335 \nL 110.790906 126.906621 \nL 112.606903 128.309514 \nL 114.267864 129.784549 \nL 115.770828 131.307623 \nL 117.116056 132.858153 \nL 118.306318 134.418985 \nL 119.346258 135.976165 \nL 120.999757 139.037706 \nL 122.131532 141.981808 \nL 122.798402 144.775938 \nL 123.051502 147.406124 \nL 122.932068 149.869351 \nL 122.469494 152.168025 \nL 121.68086 154.306006 \nL 120.571353 156.285638 \nL 119.135221 158.105293 \nL 117.357116 159.757039 \nL 115.213879 161.224086 \nL 112.677003 162.477694 \nL 109.716258 163.473386 \nL 108.068305 163.85519 \nL 106.305141 164.146339 \nL 104.425391 164.334709 \nL 102.429157 164.406266 \nL 100.318513 164.34496 \nL 98.098093 164.132648 \nL 95.775764 163.749129 \nL 93.363396 163.172296 \nL 90.877703 162.378477 \nL 88.341117 161.343033 \nL 85.782671 160.041256 \nL 83.238777 158.449677 \nL 80.753803 156.547816 \nL 78.380301 154.32042 \nL 76.178688 151.760172 \nL 74.216211 148.870761 \nL 72.564963 145.670093 \nL 71.298857 142.193289 \nL 70.489498 138.494958 \nL 70.201131 134.650156 \nL 70.485005 130.753405 \nL 71.373793 126.915286 \nL 72.876852 123.256418 \nL 74.977175 119.899173 \nL 77.630747 116.957934 \nL 80.768696 114.529213 \nL 84.302093 112.683254 \nL 88.128808 111.458452 \nL 92.141355 110.859572 \nL 96.234607 110.859839 \nL 100.312327 111.40636 \nL 104.291861 112.427624 \nL 108.106738 113.84173 \nL 111.707356 115.564052 \nL 115.060125 117.513461 \nL 118.145654 119.61669 \nL 120.956387 121.810838 \nL 123.494143 124.044268 \nL 125.767786 126.276345 \nL 127.791178 128.476408 \nL 129.58147 130.622352 \nL 132.539955 134.697178 \nL 134.801844 138.439503 \nL 136.519368 141.840402 \nL 137.827433 144.917605 \nL 139.264854 148.990543 \nL 142.460721 158.994919 \nL 143.539731 161.166991 \nL 144.39364 162.427744 \nL 145.391949 163.536565 \nL 146.569314 164.485978 \nL 147.964892 165.262688 \nL 149.623732 165.846447 \nL 151.597972 166.208411 \nL 153.94774 166.308903 \nL 156.741447 166.094527 \nL 160.054973 165.494658 \nL 163.968806 164.417542 \nL 168.561683 162.746763 \nL 171.134061 161.645164 \nL 173.898405 160.339724 \nL 176.857151 158.809146 \nL 180.008507 157.031536 \nL 183.34498 154.985272 \nL 186.851616 152.650308 \nL 190.503921 150.009987 \nL 194.265504 147.053489 \nL 198.085564 143.779008 \nL 201.896346 140.197672 \nL 205.610903 136.338118 \nL 209.121622 132.251463 \nL 212.300097 128.016118 \nL 214.999179 123.7415 \nL 217.058041 119.569372 \nL 218.311061 115.67113 \nL 218.600932 112.239377 \nL 217.795546 109.472591 \nL 215.807166 107.552975 \nL 212.610681 106.619882 \nL 208.256818 106.743526 \nL 202.875856 107.905993 \nL 196.668862 109.996156 \nL 189.886673 112.822358 \nL 182.800591 116.141176 \nL 168.724091 123.249452 \nL 156.010922 129.677798 \nL 145.40144 134.663483 \nL 136.970023 138.209554 \nL 130.443493 140.675366 \nL 119.972746 144.49584 \nL 116.05558 146.22267 \nL 108.230614 150.086854 \nL 106.272745 150.757301 \nL 104.205097 151.226681 \nL 102.014108 151.447029 \nL 99.708105 151.368885 \nL 97.318395 150.943258 \nL 94.901002 150.125196 \nL 92.538028 148.879634 \nL 91.409731 148.090309 \nL 90.337366 147.189821 \nL 89.33784 146.180687 \nL 88.42893 145.06795 \nL 87.628874 143.859512 \nL 86.95584 142.566393 \nL 86.427317 141.202892 \nL 86.059426 139.786597 \nL 85.866181 138.338231 \nL 85.858759 136.881284 \nL 86.044808 135.441439 \nL 86.427858 134.045783 \nL 87.006901 132.721838 \nL 87.776176 131.496482 \nL 88.725185 130.394813 \nL 89.838983 129.439054 \nL 91.098682 128.647592 \nL 92.482194 128.034251 \nL 93.965103 127.607797 \nL 95.521624 127.371818 \nL 97.125578 127.324849 \nL 98.751298 127.460812 \nL 100.374426 127.769672 \nL 101.972558 128.238228 \nL 103.525704 128.850974 \nL 105.016573 129.590954 \nL 106.430696 130.440562 \nL 107.756407 131.382227 \nL 108.984701 132.398967 \nL 111.124965 134.595018 \nL 112.823194 136.917155 \nL 114.075959 139.277332 \nL 114.895359 141.609867 \nL 115.301219 143.86762 \nL 115.31525 146.017248 \nL 114.957152 148.0345 \nL 114.242414 149.90001 \nL 113.181501 151.595666 \nL 111.780219 153.101429 \nL 110.041122 154.392522 \nL 107.965981 155.436817 \nL 105.559423 156.19253 \nL 102.833956 156.606308 \nL 101.359294 156.664861 \nL 99.816609 156.612254 \nL 98.212914 156.438416 \nL 96.557253 156.132765 \nL 94.861033 155.684426 \nL 93.138321 155.082544 \nL 91.406147 154.316736 \nL 89.684738 153.377639 \nL 87.997643 152.257605 \nL 86.371738 150.951533 \nL 84.837045 149.45782 \nL 83.426318 147.779366 \nL 82.174332 145.924647 \nL 81.116889 143.908675 \nL 80.289473 141.753786 \nL 79.725638 139.490116 \nL 79.45516 137.155587 \nL 79.502083 134.795298 \nL 79.882837 132.46023 \nL 80.604606 130.20524 \nL 81.664175 128.08644 \nL 83.047417 126.158143 \nL 84.729545 124.469674 \nL 86.676171 123.062364 \nL 88.845057 121.967106 \nL 91.188431 121.202749 \nL 93.655583 120.775541 \nL 96.195486 120.679538 \nL 98.759189 120.898025 \nL 101.301779 121.405562 \nL 103.783819 122.170433 \nL 106.172178 123.157176 \nL 108.440372 124.328929 \nL 110.568427 125.64941 \nL 112.542425 127.084456 \nL 114.353828 128.603035 \nL 115.998679 130.177859 \nL 117.476783 131.785604 \nL 118.790894 133.406856 \nL 119.945979 135.025859 \nL 121.806188 138.210136 \nL 123.118892 141.270602 \nL 123.948639 144.172069 \nL 124.354414 146.90062 \nL 124.384807 149.454973 \nL 124.075787 151.840357 \nL 123.450124 154.064268 \nL 122.517756 156.133471 \nL 121.276659 158.051703 \nL 119.713987 159.817646 \nL 117.807446 161.422769 \nL 115.527031 162.84874 \nL 112.83748 164.064115 \nL 109.701987 165.020065 \nL 107.956465 165.379456 \nL 106.08804 165.645073 \nL 104.094809 165.80343 \nL 101.976516 165.838867 \nL 99.735125 165.733396 \nL 97.375486 165.46661 \nL 94.906128 165.015702 \nL 92.340141 164.355637 \nL 89.696172 163.459531 \nL 86.999452 162.299359 \nL 84.282833 160.847016 \nL 81.587697 159.075881 \nL 78.964618 156.962936 \nL 76.473601 154.491469 \nL 74.183609 151.654363 \nL 72.171196 148.457792 \nL 70.517985 144.925062 \nL 69.306834 141.100079 \nL 68.61669 137.049847 \nL 68.516373 132.865139 \nL 69.057839 128.658646 \nL 70.269732 124.560035 \nL 72.152301 120.707859 \nL 74.674675 117.238888 \nL 77.775329 114.276172 \nL 81.365957 111.91765 \nL 85.338385 110.227263 \nL 89.573431 109.230161 \nL 93.950375 108.912791 \nL 98.355553 109.227515 \nL 102.689015 110.100683 \nL 106.868678 111.442349 \nL 110.831978 113.155976 \nL 114.535443 115.14675 \nL 117.952795 117.327674 \nL 121.072266 119.623327 \nL 123.893647 121.971474 \nL 126.425442 124.323076 \nL 128.682357 126.641195 \nL 130.683206 128.899328 \nL 134.002883 133.170668 \nL 136.562986 137.065232 \nL 138.536212 140.573559 \nL 140.076462 143.716849 \nL 142.357612 149.042725 \nL 144.194015 153.302748 \nL 145.604037 155.912556 \nL 146.655873 157.398217 \nL 147.849656 158.684578 \nL 149.229404 159.766963 \nL 150.840777 160.632825 \nL 152.732809 161.260766 \nL 154.959074 161.619118 \nL 157.578072 161.664016 \nL 160.652446 161.3371 \nL 164.246332 160.56308 \nL 168.419747 159.247882 \nL 173.218359 157.278689 \nL 175.858431 156.009423 \nL 178.656367 154.528461 \nL 181.604662 152.819849 \nL 184.689884 150.869158 \nL 187.891179 148.664832 \nL 191.178632 146.199959 \nL 194.511515 143.474508 \nL 197.836607 140.498001 \nL 201.086714 137.292607 \nL 204.179757 133.8964 \nL 207.018734 130.366507 \nL 209.493101 126.781553 \nL 211.482021 123.242658 \nL 212.860011 119.872051 \nL 213.505159 116.808356 \nL 213.309855 114.197762 \nL 212.193183 112.181038 \nL 210.113451 110.877269 \nL 207.078603 110.36662 \nL 203.151908 110.675599 \nL 198.45077 111.768743 \nL 193.13775 113.549893 \nL 187.404816 115.873844 \nL 181.453713 118.566382 \nL 169.639174 124.35596 \nL 154.087065 132.133303 \nL 142.385296 137.699272 \nL 132.148911 142.542618 \nL 128.687156 144.416557 \nL 125.952794 146.14582 \nL 123.711529 147.809397 \nL 120.865678 150.24111 \nL 117.309708 153.324535 \nL 115.407151 154.74145 \nL 113.323645 156.028474 \nL 111.004546 157.142818 \nL 108.408486 158.033695 \nL 105.508487 158.639787 \nL 102.295609 158.886634 \nL 100.575527 158.848008 \nL 98.785486 158.684883 \nL 96.932832 158.383841 \nL 95.027775 157.930828 \nL 93.083804 157.311453 \nL 91.118084 156.511434 \nL 89.151835 155.517199 \nL 87.210605 154.316702 \nL 85.324407 152.900413 \nL 83.527664 151.26251 \nL 81.858847 149.402254 \nL 80.359757 147.32544 \nL 79.074396 145.045857 \nL 78.047353 142.586575 \nL 77.321758 139.980872 \nL 76.936835 137.272574 \nL 76.925226 134.51558 \nL 77.31031 131.772418 \nL 78.103799 129.111725 \nL 79.303947 126.604761 \nL 80.894645 124.321204 \nL 82.845631 122.324584 \nL 85.113864 120.667999 \nL 87.645967 119.390573 \nL 90.381467 118.515148 \nL 93.256448 118.047523 \nL 96.207198 117.977264 \nL 99.173455 118.279843 \nL 102.100972 118.919742 \nL 104.943268 119.85403 \nL 107.662523 121.035946 \nL 110.229736 122.418113 \nL 112.624302 123.95507 \nL 114.833186 125.605139 \nL 116.849856 127.331542 \nL 118.673144 129.102909 \nL 120.306109 130.893294 \nL 121.754996 132.681876 \nL 123.028309 134.452454 \nL 125.088954 137.89411 \nL 126.574797 141.157399 \nL 127.571837 144.217441 \nL 128.156607 147.071261 \nL 128.391878 149.728006 \nL 128.325187 152.202595 \nL 127.988978 154.511754 \nL 127.401548 156.671586 \nL 126.568249 158.696032 \nL 125.48264 160.595788 \nL 124.127469 162.377296 \nL 122.47545 164.041553 \nL 120.48995 165.582428 \nL 118.125846 166.984208 \nL 115.330902 168.218052 \nL 112.048344 169.236957 \nL 110.206327 169.644516 \nL 108.221601 169.968943 \nL 106.088493 170.195903 \nL 103.802687 170.308317 \nL 101.361832 170.286034 \nL 98.76631 170.105523 \nL 96.020178 169.739637 \nL 93.132295 169.157505 \nL 90.11765 168.324635 \nL 86.998864 167.203334 \nL 83.807825 165.753592 \nL 80.587367 163.934588 \nL 77.392803 161.706983 \nL 74.293119 159.036209 \nL 71.371434 155.8968 \nL 68.724347 152.277761 \nL 66.459683 148.188743 \nL 64.692197 143.666459 \nL 63.536939 138.780347 \nL 63.100391 133.636237 \nL 63.469871 128.376408 \nL 64.70253 123.174692 \nL 66.815603 118.225781 \nL 69.780073 113.729158 \nL 73.519479 109.86948 \nL 77.914839 106.796648 \nL 82.815252 104.609453 \nL 88.052403 103.346185 \nL 93.456303 102.984093 \nL 98.869429 103.447314 \nL 104.157187 104.621013 \nL 109.213722 106.368312 \nL 113.963303 108.546588 \nL 118.358306 111.020635 \nL 122.375102 113.67149 \nL 126.009107 116.400929 \nL 129.269888 119.132425 \nL 132.176841 121.809642 \nL 134.755668 124.393607 \nL 139.047721 129.192628 \nL 142.391519 133.441729 \nL 145.022719 137.144742 \nL 151.343224 146.473383 \nL 152.900631 148.285853 \nL 154.531963 149.771902 \nL 156.310417 150.940648 \nL 158.298625 151.788989 \nL 160.551259 152.301772 \nL 163.116083 152.451959 \nL 166.033151 152.201087 \nL 169.331671 151.500426 \nL 173.023985 150.293688 \nL 177.095952 148.522457 \nL 181.493292 146.13615 \nL 183.781768 144.70255 \nL 186.104 143.108405 \nL 188.433718 141.358216 \nL 190.738672 139.461484 \nL 192.98026 137.433833 \nL 195.113469 135.298115 \nL 197.087171 133.085323 \nL 198.84497 130.835216 \nL 200.326702 128.59638 \nL 201.470684 126.425525 \nL 202.216752 124.385797 \nL 202.510007 122.543961 \nL 202.305097 120.966432 \nL 201.570612 119.714359 \nL 200.293111 118.838201 \nL 198.48016 118.372501 \nL 196.161763 118.331689 \nL 193.389757 118.707806 \nL 190.235004 119.470674 \nL 186.782636 120.570786 \nL 183.125934 121.944499 \nL 179.35971 123.520653 \nL 171.849617 126.999007 \nL 164.838727 130.524526 \nL 158.689903 133.803348 \nL 153.551744 136.73027 \nL 149.41662 139.326015 \nL 146.185924 141.666518 \nL 143.721175 143.833865 \nL 141.876783 145.892709 \nL 140.517961 147.884429 \nL 139.528706 149.830187 \nL 138.813889 151.736924 \nL 138.096171 154.519427 \nL 137.532004 158.053486 \nL 136.804837 165.09367 \nL 136.348908 168.443405 \nL 135.832157 170.869268 \nL 135.303761 172.563592 \nL 134.605444 174.170107 \nL 133.677477 175.707954 \nL 132.439591 177.197113 \nL 131.390029 178.172432 \nL 130.114211 179.139523 \nL 128.561988 180.101427 \nL 126.672333 181.057884 \nL 124.371416 182.002824 \nL 121.570753 182.920334 \nL 118.165913 183.778289 \nL 114.036739 184.518444 \nL 109.050877 185.041385 \nL 106.194278 185.173806 \nL 103.073954 185.184404 \nL 99.676463 185.037897 \nL 95.992139 184.690734 \nL 92.017167 184.089773 \nL 87.756317 183.171048 \nL 83.226437 181.858869 \nL 78.460826 180.065596 \nL 73.514431 177.692627 \nL 68.469714 174.633335 \nL 63.442731 170.778895 \nL 58.588513 166.028037 \nL 54.104245 160.301708 \nL 50.228151 153.562975 \nL 47.231432 145.841323 \nL 45.400718 137.258298 \nL 45.009589 128.04867 \nL 46.280474 118.568575 \nL 49.342405 109.281419 \nL 54.194357 100.715237 \nL 60.686354 93.393363 \nL 68.527828 87.75125 \nL 77.325125 84.061485 \nL 86.639626 82.390132 \nL 96.050176 82.598139 \nL 105.203102 84.385273 \nL 113.839427 87.35967 \nL 121.798481 91.110354 \nL 129.004408 95.264363 \nL 135.444654 99.520131 \nL 141.148033 103.65816 \nL 150.562992 111.07212 \nL 174.944265 131.293809 \nL 175.550636 132.026212 \nL 175.837792 132.621913 \nL 175.877865 133.137615 \nL 175.732799 133.611271 \nL 175.285203 134.291229 \nL 173.27736 136.849579 \nL 173.166628 137.346575 \nL 173.29944 137.72595 \nL 173.678535 137.960187 \nL 174.286535 138.027586 \nL 175.087214 137.914875 \nL 176.35824 137.483342 \nL 177.698714 136.767815 \nL 178.892762 135.862677 \nL 179.553674 135.147925 \nL 179.916134 134.487595 \nL 179.960098 134.116831 \nL 179.834043 133.826515 \nL 179.537761 133.633639 \nL 179.08065 133.549752 \nL 178.136764 133.637776 \nL 176.971244 133.971074 \nL 175.28471 134.727259 \nL 173.722501 135.708831 \nL 172.539989 136.757823 \nL 172.009501 137.499038 \nL 171.831008 138.13942 \nL 171.915195 138.486152 \nL 172.160525 138.753711 \nL 172.561044 138.930775 \nL 173.429823 139.006022 \nL 174.573254 138.832626 \nL 175.918127 138.401627 \nL 177.367345 137.72452 \nL 178.799857 136.839325 \nL 180.074914 135.814933 \nL 181.043343 134.750718 \nL 181.449194 134.078783 \nL 181.623668 133.481396 \nL 181.544712 132.994738 \nL 181.204308 132.649485 \nL 180.610446 132.467651 \nL 179.787522 132.460339 \nL 178.212863 132.772105 \nL 176.391059 133.425767 \nL 174.52345 134.336466 \nL 172.800962 135.403368 \nL 171.379071 136.52804 \nL 170.3668 137.624013 \nL 169.82778 138.618142 \nL 169.745443 139.19298 \nL 169.885866 139.677638 \nL 170.244695 140.056231 \nL 170.813508 140.31377 \nL 171.579985 140.436369 \nL 172.527647 140.411752 \nL 174.240817 140.07811 \nL 176.215516 139.374846 \nL 178.318107 138.31427 \nL 180.37316 136.950899 \nL 182.166531 135.392422 \nL 183.100473 134.323628 \nL 183.745346 133.299438 \nL 184.042601 132.383799 \nL 183.95054 131.638744 \nL 183.751819 131.347291 \nL 183.451175 131.117243 \nL 182.554993 130.856319 \nL 181.302199 130.872166 \nL 179.759768 131.15858 \nL 178.014553 131.689151 \nL 175.229756 132.850261 \nL 172.528928 134.300768 \nL 170.177848 135.881108 \nL 168.358734 137.462405 \nL 167.493934 138.468639 \nL 166.924696 139.409768 \nL 166.654936 140.266061 \nL 166.682133 141.018946 \nL 166.999578 141.649967 \nL 167.597823 142.140223 \nL 168.465312 142.470234 \nL 169.588195 142.620242 \nL 170.949372 142.570916 \nL 172.526859 142.304519 \nL 174.291541 141.806657 \nL 176.2045 141.06866 \nL 178.214184 140.090665 \nL 180.253867 138.885325 \nL 182.240089 137.481782 \nL 184.072979 135.929252 \nL 185.639555 134.29908 \nL 186.820933 132.683849 \nL 187.503881 131.191984 \nL 187.628277 130.528033 \nL 187.595921 129.937193 \nL 187.401197 129.432006 \nL 187.041735 129.023325 \nL 186.518703 128.719823 \nL 185.83697 128.527571 \nL 185.005097 128.449754 \nL 182.942283 128.635195 \nL 180.461121 129.243522 \nL 177.723579 130.205151 \nL 174.90036 131.429731 \nL 172.149833 132.823813 \nL 169.602938 134.304686 \nL 167.356023 135.807557 \nL 165.470872 137.286361 \nL 163.979649 138.710289 \nL 162.892169 140.058603 \nL 162.203446 141.315684 \nL 161.900277 142.467195 \nL 161.966286 143.497606 \nL 162.385337 144.388858 \nL 163.143442 145.119777 \nL 164.229358 145.665981 \nL 165.634053 146.000076 \nL 167.349148 146.092155 \nL 169.36434 145.910662 \nL 171.663788 145.423947 \nL 174.221391 144.602789 \nL 176.994997 143.424388 \nL 179.919787 141.878223 \nL 182.901513 139.973918 \nL 185.810951 137.750889 \nL 188.481813 135.288296 \nL 190.715225 132.712542 \nL 191.600118 131.43499 \nL 192.294092 130.197735 \nL 192.7715 129.02809 \nL 193.009479 127.954019 \nL 192.989283 127.002926 \nL 192.697579 126.200226 \nL 192.12762 125.56788 \nL 191.280143 125.122979 \nL 190.163884 124.876567 \nL 188.795611 124.832815 \nL 187.199646 124.988714 \nL 185.406864 125.334338 \nL 183.453249 125.853632 \nL 179.222396 127.326496 \nL 174.828597 129.211733 \nL 170.563027 131.314188 \nL 166.650087 133.477474 \nL 163.234514 135.599498 \nL 160.387775 137.627839 \nL 158.124965 139.544667 \nL 156.424283 141.350245 \nL 155.244212 143.050264 \nL 154.53651 144.648214 \nL 154.254954 146.14196 \nL 154.360546 147.522869 \nL 154.824179 148.776207 \nL 155.627538 149.881815 \nL 156.762873 150.814556 \nL 158.232007 151.544394 \nL 160.044745 152.036063 \nL 162.216646 152.248493 \nL 164.76593 152.134283 \nL 167.709133 151.639561 \nL 171.054911 150.70499 \nL 174.795324 149.268774 \nL 178.893948 147.273094 \nL 183.27048 144.675689 \nL 185.521418 143.146749 \nL 187.782561 141.46823 \nL 190.023408 139.648662 \nL 192.207555 137.702266 \nL 194.29261 135.649965 \nL 196.230435 133.52026 \nL 197.967903 131.349801 \nL 199.448204 129.183503 \nL 200.612872 127.073978 \nL 201.404493 125.080085 \nL 201.770126 123.264468 \nL 201.665178 121.690043 \nL 201.057483 120.415594 \nL 199.931114 119.490834 \nL 198.289358 118.951533 \nL 196.156346 118.815464 \nL 193.576872 119.0799 \nL 190.614221 119.721314 \nL 187.346138 120.697478 \nL 183.859427 121.951777 \nL 180.243888 123.419019 \nL 172.966255 126.726404 \nL 166.094853 130.150341 \nL 160.008462 133.385402 \nL 154.88024 136.304861 \nL 150.726447 138.90948 \nL 147.467352 141.261801 \nL 144.977678 143.437036 \nL 143.120374 145.497426 \nL 141.765928 147.484259 \nL 140.801617 149.419429 \nL 140.134568 151.310597 \nL 139.691354 153.15662 \nL 139.327653 155.828252 \nL 139.214526 158.361847 \nL 139.3277 161.490655 \nL 139.675185 164.306694 \nL 140.086072 166.202864 \nL 140.64706 167.907691 \nL 141.395489 169.413306 \nL 142.025182 170.300037 \nL 142.784151 171.086159 \nL 143.699163 171.762778 \nL 144.802974 172.317444 \nL 146.135448 172.732935 \nL 147.744822 172.985638 \nL 149.689082 173.043378 \nL 152.037283 172.862505 \nL 154.870522 172.384082 \nL 158.28204 171.529007 \nL 162.375406 170.192121 \nL 167.259087 168.235821 \nL 173.034459 165.484741 \nL 176.280922 163.745697 \nL 179.772744 161.725221 \nL 183.507464 159.39252 \nL 187.474313 156.717142 \nL 191.651443 153.67107 \nL 196.002599 150.231725 \nL 200.473366 146.386092 \nL 204.987083 142.136163 \nL 209.440853 137.505686 \nL 213.702182 132.548041 \nL 217.607214 127.354589 \nL 220.961804 122.062204 \nL 223.547062 116.857906 \nL 225.130927 111.977669 \nL 225.487125 107.695961 \nL 224.421428 104.303047 \nL 221.803008 102.069144 \nL 217.595643 101.198872 \nL 211.880652 101.784916 \nL 204.862652 103.774766 \nL 196.852181 106.964574 \nL 188.226107 111.027451 \nL 179.37515 115.570907 \nL 162.338909 124.608326 \nL 154.624079 128.550847 \nL 147.613409 131.912521 \nL 141.342284 134.661886 \nL 135.79657 136.831255 \nL 130.931481 138.489957 \nL 126.686334 139.72255 \nL 122.994712 140.614015 \nL 119.790731 141.241289 \nL 114.603707 141.951287 \nL 110.699732 142.229516 \nL 106.546375 142.287233 \nL 102.399754 142.091786 \nL 100.083576 141.77174 \nL 98.924402 141.414392 \nL 98.171579 140.960796 \nL 97.755462 140.443898 \nL 97.648284 139.928589 \nL 97.821172 139.495771 \nL 98.221772 139.221906 \nL 98.769197 139.159618 \nL 99.362349 139.324797 \nL 99.895746 139.693415 \nL 100.276486 140.207477 \nL 100.437563 140.786622 \nL 100.345851 141.341183 \nL 100.005206 141.784078 \nL 99.456178 142.040965 \nL 98.773093 142.059492 \nL 98.057809 141.818371 \nL 97.428501 141.33573 \nL 97.002128 140.673986 \nL 96.872931 140.121284 \nL 96.933488 139.580191 \nL 97.186655 139.107941 \nL 97.613935 138.757049 \nL 98.176859 138.568072 \nL 98.821541 138.56406 \nL 99.485339 138.747918 \nL 100.104353 139.102961 \nL 100.62018 139.596124 \nL 100.98512 140.182683 \nL 101.165363 140.811274 \nL 101.142531 141.42836 \nL 100.91403 141.981814 \nL 100.492796 142.423667 \nL 99.906841 142.712472 \nL 99.198591 142.815738 \nL 98.423761 142.712758 \nL 97.649156 142.398002 \nL 96.948702 141.884575 \nL 96.397207 141.206937 \nL 96.061844 140.421403 \nL 95.992347 139.603125 \nL 96.21178 138.838623 \nL 96.710375 138.214486 \nL 97.444656 137.804347 \nL 98.342603 137.657382 \nL 99.313789 137.791455 \nL 100.261901 138.192349 \nL 101.096599 138.818552 \nL 101.742396 139.609311 \nL 102.143739 140.493333 \nL 102.266701 141.396112 \nL 102.098574 142.245041 \nL 101.646674 142.972503 \nL 100.937407 143.517755 \nL 100.015986 143.828664 \nL 98.946623 143.864368 \nL 97.812272 143.599551 \nL 96.712526 143.030414 \nL 95.758033 142.181552 \nL 95.257812 141.487745 \nL 94.902148 140.721296 \nL 94.716115 139.915148 \nL 94.717304 139.107475 \nL 94.913763 138.339464 \nL 95.302624 137.652429 \nL 95.86968 137.084554 \nL 96.590051 136.667735 \nL 97.429921 136.424985 \nL 98.349103 136.368802 \nL 99.304076 136.50071 \nL 100.251019 136.811918 \nL 101.148519 137.284907 \nL 101.959641 137.895542 \nL 102.653266 138.615331 \nL 103.204728 139.413503 \nL 103.59586 140.258738 \nL 103.814646 141.120353 \nL 103.854672 141.969053 \nL 103.714536 142.777281 \nL 103.397367 143.519279 \nL 102.910522 144.17098 \nL 102.265512 144.709902 \nL 101.478168 145.115108 \nL 100.568996 145.367384 \nL 99.563627 145.44969 \nL 98.493274 145.348003 \nL 97.394984 145.052544 \nL 96.311513 144.559437 \nL 95.290552 143.872629 \nL 94.383122 143.005907 \nL 93.640987 141.98463 \nL 93.113058 140.846705 \nL 92.841052 139.642293 \nL 92.854884 138.431812 \nL 93.168511 137.282035 \nL 93.777052 136.260582 \nL 94.655932 135.429489 \nL 95.762359 134.838967 \nL 97.039062 134.522535 \nL 98.419645 134.494437 \nL 99.834549 134.749719 \nL 101.216658 135.266672 \nL 102.505755 136.010859 \nL 103.651358 136.939773 \nL 104.61396 138.007224 \nL 105.364917 139.166869 \nL 105.88541 140.37461 \nL 106.164919 141.589865 \nL 106.199615 142.775941 \nL 105.99095 143.89975 \nL 105.544621 144.931096 \nL 104.870037 145.841838 \nL 103.980312 146.605043 \nL 102.892772 147.194379 \nL 101.629935 147.583804 \nL 100.220842 147.747814 \nL 98.702584 147.662345 \nL 97.121757 147.306518 \nL 95.535498 146.665344 \nL 94.011592 145.733399 \nL 92.627073 144.519204 \nL 91.46484 143.049819 \nL 90.60788 141.374588 \nL 90.131262 139.566827 \nL 90.05456 138.642345 \nL 90.092705 137.721968 \nL 90.248668 136.820049 \nL 90.523287 135.951288 \nL 90.915123 135.130308 \nL 91.420413 134.371212 \nL 92.033117 133.687123 \nL 92.745041 133.08976 \nL 93.546063 132.589061 \nL 94.424428 132.192883 \nL 95.367093 131.906802 \nL 96.360131 131.734003 \nL 97.389127 131.675297 \nL 99.497272 131.892259 \nL 101.580812 132.522816 \nL 103.542562 133.50839 \nL 105.304402 134.777104 \nL 106.809038 136.253323 \nL 108.018733 137.864762 \nL 108.912191 139.546737 \nL 109.480656 141.243883 \nL 109.724076 142.909932 \nL 109.647837 144.506309 \nL 109.26036 146.000155 \nL 108.571639 147.362118 \nL 107.592748 148.564224 \nL 106.336255 149.577986 \nL 104.817527 150.372833 \nL 103.056865 150.915057 \nL 101.082402 151.167454 \nL 98.933656 151.089997 \nL 96.665417 150.641944 \nL 94.35147 149.785915 \nL 92.08724 148.494346 \nL 91.009654 147.681466 \nL 89.990086 146.758452 \nL 89.046033 145.728924 \nL 88.195614 144.599069 \nL 87.457139 143.377929 \nL 86.848574 142.077637 \nL 86.386923 140.713525 \nL 86.087558 139.304085 \nL 85.963489 137.870737 \nL 86.024672 136.437415 \nL 86.277371 135.029927 \nL 86.723651 133.675123 \nL 87.361022 132.399917 \nL 88.182314 131.230207 \nL 89.175786 130.189772 \nL 90.325478 129.299261 \nL 91.611794 128.575306 \nL 93.012259 128.029903 \nL 94.502415 127.670042 \nL 96.05676 127.497654 \nL 97.649687 127.509865 \nL 99.256336 127.699472 \nL 100.853329 128.055628 \nL 102.419339 128.564646 \nL 103.935496 129.21084 \nL 105.385612 129.977339 \nL 106.756264 130.84684 \nL 108.036729 131.802228 \nL 110.296719 133.906068 \nL 112.126293 136.171596 \nL 113.513942 138.503706 \nL 114.466562 140.829885 \nL 115.001229 143.097214 \nL 115.138781 145.267949 \nL 114.899355 147.314825 \nL 114.299665 149.216762 \nL 113.35177 150.955064 \nL 112.063068 152.510152 \nL 110.43737 153.858645 \nL 108.47702 154.970739 \nL 106.186138 155.807826 \nL 103.575173 156.320498 \nL 100.666959 156.447325 \nL 99.113772 156.343579 \nL 97.50443 156.115129 \nL 95.848941 155.751474 \nL 94.159768 155.24198 \nL 92.452109 154.576248 \nL 90.744165 153.744584 \nL 89.057315 152.738608 \nL 87.416197 151.551991 \nL 85.848622 150.181316 \nL 84.385289 148.627029 \nL 83.059265 146.894451 \nL 81.905166 144.994768 \nL 80.958033 142.945904 \nL 80.251908 140.773155 \nL 79.818157 138.509446 \nL 79.683619 136.195067 \nL 79.868727 133.876796 \nL 80.385767 131.606331 \nL 81.23749 129.438097 \nL 82.416228 127.426468 \nL 83.903715 125.622767 \nL 85.671667 124.072192 \nL 87.683095 122.811105 \nL 89.894241 121.865005 \nL 92.256965 121.247358 \nL 94.721296 120.959446 \nL 97.237897 120.991178 \nL 99.76024 121.322725 \nL 102.246316 121.926683 \nL 104.659799 122.770489 \nL 106.970668 123.818832 \nL 109.155352 125.03578 \nL 111.19648 126.386561 \nL 113.082349 127.838847 \nL 114.806217 129.363594 \nL 116.365524 130.935493 \nL 117.761088 132.53308 \nL 118.996345 134.138608 \nL 120.076661 135.737767 \nL 121.80004 138.874637 \nL 122.991985 141.883019 \nL 123.714524 144.731997 \nL 124.023225 147.409836 \nL 123.962955 149.915994 \nL 123.566012 152.255472 \nL 122.851732 154.434837 \nL 121.826958 156.459362 \nL 120.486977 158.330758 \nL 118.816737 160.045035 \nL 116.792362 161.590209 \nL 114.38316 162.943473 \nL 111.554523 164.067595 \nL 108.27236 164.906389 \nL 106.45232 165.194715 \nL 104.509988 165.379251 \nL 102.444921 165.445139 \nL 100.258726 165.375309 \nL 97.955702 165.150369 \nL 95.543565 164.748612 \nL 93.034296 164.146153 \nL 90.445066 163.31728 \nL 87.799229 162.23504 \nL 85.127314 160.872225 \nL 82.467918 159.202767 \nL 79.868404 157.203656 \nL 77.385198 154.857435 \nL 75.083497 152.155217 \nL 73.036151 149.100169 \nL 71.321485 145.711156 \nL 70.019903 142.026177 \nL 69.209235 138.104991 \nL 68.959003 134.030202 \nL 69.324041 129.906088 \nL 70.338189 125.854619 \nL 72.009025 122.008444 \nL 74.314624 118.501247 \nL 77.203163 115.456555 \nL 80.595757 112.976565 \nL 84.392331 111.132885 \nL 88.479671 109.960794 \nL 92.740434 109.457974 \nL 97.061706 109.587752 \nL 101.341995 110.28593 \nL 105.495967 111.469742 \nL 109.456749 113.047228 \nL 113.176124 114.925659 \nL 116.623131 117.018058 \nL 119.781708 119.247515 \nL 122.647922 121.5494 \nL 125.227187 123.871811 \nL 127.531746 126.174888 \nL 129.578511 128.429378 \nL 131.387315 130.614907 \nL 134.377135 134.731621 \nL 136.674376 138.477079 \nL 138.441608 141.852809 \nL 140.403766 146.28016 \nL 144.392008 155.971598 \nL 145.311913 157.543352 \nL 146.345946 158.928191 \nL 147.534886 160.125531 \nL 148.92057 161.127945 \nL 150.54783 161.920432 \nL 152.466022 162.479282 \nL 154.73004 162.77041 \nL 157.400621 162.747212 \nL 160.543484 162.34794 \nL 164.226553 161.492937 \nL 168.51408 160.082383 \nL 173.455818 157.996066 \nL 176.179312 156.657294 \nL 179.068783 155.097872 \nL 182.116543 153.300566 \nL 185.308571 151.249715 \nL 188.622886 148.932715 \nL 192.027736 146.341949 \nL 195.479688 143.477243 \nL 198.92174 140.348837 \nL 202.281714 136.980804 \nL 205.471217 133.414698 \nL 208.385644 129.713034 \nL 210.905735 125.961983 \nL 212.901299 122.272384 \nL 214.237599 118.778025 \nL 214.784712 115.630023 \nL 214.429637 112.986582 \nL 213.090159 110.997919 \nL 210.728664 109.787791 \nL 207.363172 109.434247 \nL 203.072657 109.953897 \nL 197.994229 111.294141 \nL 192.311566 113.336787 \nL 186.236082 115.913393 \nL 179.984614 118.829321 \nL 167.726013 124.927553 \nL 151.871919 132.813058 \nL 143.594407 136.682405 \nL 128.122892 143.719611 \nL 125.06675 145.388834 \nL 122.595486 146.964853 \nL 119.53136 149.247144 \nL 114.902121 152.798152 \nL 112.916738 154.051123 \nL 110.750478 155.149689 \nL 108.357674 156.045709 \nL 105.708992 156.683116 \nL 102.793395 156.996175 \nL 99.622525 156.908395 \nL 97.952833 156.68745 \nL 96.237501 156.333207 \nL 94.487704 155.83393 \nL 92.717591 155.178054 \nL 90.944549 154.354636 \nL 89.189422 153.353956 \nL 87.476593 152.168264 \nL 85.833958 150.792648 \nL 84.292668 149.226048 \nL 82.886637 147.472318 \nL 81.65174 145.541317 \nL 80.624692 143.4499 \nL 79.84158 141.222674 \nL 79.336115 138.892396 \nL 79.137661 136.499834 \nL 79.269206 134.092975 \nL 79.745427 131.725508 \nL 80.57109 129.454538 \nL 81.739996 127.337741 \nL 83.234635 125.430079 \nL 85.026677 123.780503 \nL 87.078268 122.42891 \nL 89.344055 121.403806 \nL 91.773693 120.72092 \nL 94.314611 120.382896 \nL 96.914687 120.380074 \nL 99.52463 120.692163 \nL 102.099878 121.290579 \nL 104.601876 122.14105 \nL 106.998791 123.206228 \nL 109.265678 124.448053 \nL 111.384221 125.829668 \nL 113.342153 127.316836 \nL 115.132505 128.878861 \nL 116.752756 130.489068 \nL 118.203971 132.124922 \nL 119.489984 133.767876 \nL 120.616662 135.403059 \nL 122.421863 138.606489 \nL 123.685092 141.673397 \nL 124.473036 144.57333 \nL 124.845493 147.295863 \nL 124.851017 149.842226 \nL 124.525041 152.219426 \nL 123.889531 154.436245 \nL 122.953494 156.500447 \nL 121.713908 158.41662 \nL 120.156858 160.184278 \nL 118.258847 161.795785 \nL 115.988434 163.233838 \nL 113.30852 164.468175 \nL 110.179872 165.451274 \nL 108.435734 165.827729 \nL 106.566676 166.112938 \nL 104.570203 166.29354 \nL 102.445381 166.353946 \nL 100.193402 166.276161 \nL 97.818253 166.039673 \nL 95.327512 165.621419 \nL 92.733255 164.99591 \nL 90.053063 164.135564 \nL 87.311125 163.011325 \nL 84.539323 161.593688 \nL 81.778259 159.854192 \nL 79.078043 157.767505 \nL 76.498665 155.314128 \nL 74.109738 152.483743 \nL 71.989289 149.279058 \nL 70.221399 145.719897 \nL 68.892449 141.847038 \nL 68.085957 137.72516 \nL 67.876192 133.444054 \nL 68.32107 129.11726 \nL 69.455171 124.877464 \nL 71.283996 120.868496 \nL 73.780576 117.234369 \nL 76.885389 114.106672 \nL 80.509934 111.592192 \nL 84.543658 109.762937 \nL 88.8632 108.650345 \nL 93.342448 108.244681 \nL 97.861854 108.499459 \nL 102.315758 109.339704 \nL 106.617054 110.672245 \nL 110.699151 112.396145 \nL 114.515639 114.411731 \nL 118.038343 116.627287 \nL 121.254486 118.963214 \nL 124.163551 121.353884 \nL 126.77424 123.74765 \nL 129.101808 126.105738 \nL 131.16583 128.400449 \nL 134.592977 132.732365 \nL 137.241559 136.6698 \nL 139.291301 140.204378 \nL 141.586796 144.805061 \nL 145.342748 152.872368 \nL 146.376348 154.617603 \nL 147.502547 156.143835 \nL 148.770614 157.454957 \nL 150.227993 158.546844 \nL 151.922736 159.406794 \nL 153.905305 160.012605 \nL 156.229663 160.331215 \nL 158.953395 160.316946 \nL 162.136433 159.909472 \nL 165.837604 159.031929 \nL 170.10785 157.590022 \nL 172.467377 156.623518 \nL 174.978448 155.473712 \nL 177.638799 154.125545 \nL 180.442072 152.564365 \nL 183.376675 150.776771 \nL 186.424488 148.751781 \nL 189.559413 146.482324 \nL 192.745834 143.967149 \nL 195.937109 141.213133 \nL 199.074215 138.237918 \nL 202.084819 135.072777 \nL 204.883062 131.765412 \nL 207.370457 128.382287 \nL 209.438316 125.009884 \nL 210.972158 121.754116 \nL 211.858312 118.737081 \nL 211.992753 116.090485 \nL 211.291652 113.945431 \nL 209.702523 112.419085 \nL 207.214263 111.599702 \nL 203.863944 111.532646 \nL 199.738296 112.210672 \nL 194.968676 113.571374 \nL 189.719658 115.503449 \nL 184.173067 117.861116 \nL 178.510444 120.483622 \nL 167.471625 125.923021 \nL 149.247167 134.993914 \nL 135.161478 141.93148 \nL 131.592347 143.957098 \nL 128.798017 145.817251 \nL 126.544998 147.601103 \nL 123.765353 150.214148 \nL 119.571865 154.387925 \nL 117.753169 155.935247 \nL 115.741717 157.368367 \nL 113.479362 158.650143 \nL 110.917526 159.73556 \nL 108.017795 160.568497 \nL 104.755045 161.07798 \nL 102.984765 161.184259 \nL 101.123602 161.17449 \nL 99.175497 161.03418 \nL 97.147037 160.747529 \nL 95.047984 160.297573 \nL 92.891826 159.666461 \nL 90.696361 158.835903 \nL 88.484256 157.787829 \nL 86.283544 156.505281 \nL 84.127968 154.973623 \nL 82.057106 153.182009 \nL 80.116141 151.125162 \nL 78.355193 148.805354 \nL 76.828075 146.23448 \nL 75.590386 143.436031 \nL 74.696953 140.446672 \nL 74.198631 137.317102 \nL 74.138683 134.11185 \nL 74.549032 130.907677 \nL 75.446802 127.790417 \nL 76.831661 124.850339 \nL 78.684386 122.1763 \nL 80.967055 119.84934 \nL 83.62494 117.93657 \nL 86.589968 116.486127 \nL 89.785316 115.524065 \nL 93.130554 115.053498 \nL 96.546662 115.056096 \nL 99.960349 115.495492 \nL 103.30728 116.321975 \nL 106.534056 117.47768 \nL 109.598989 118.901561 \nL 112.471878 120.533588 \nL 115.133058 122.317934 \nL 117.572023 124.20502 \nL 119.785835 126.152537 \nL 121.777544 128.125689 \nL 123.554703 130.096829 \nL 125.128071 132.044742 \nL 126.510512 133.953772 \nL 128.759455 137.614762 \nL 130.417184 141.031685 \nL 131.593344 144.193502 \nL 132.383582 147.109761 \nL 132.866409 149.800101 \nL 133.10295 152.287997 \nL 133.138217 154.597293 \nL 133.003022 156.750407 \nL 132.715977 158.767536 \nL 132.285261 160.66641 \nL 131.710015 162.462314 \nL 130.981289 164.168203 \nL 130.082562 165.794761 \nL 128.989855 167.350315 \nL 127.671493 168.840458 \nL 126.087589 170.267277 \nL 124.189353 171.627971 \nL 121.918402 172.912606 \nL 119.206362 174.100614 \nL 115.975287 175.155517 \nL 112.139758 176.017197 \nL 109.967797 176.3477 \nL 107.61221 176.590908 \nL 105.0635 176.727138 \nL 102.313883 176.73248 \nL 99.358215 176.578163 \nL 96.195196 176.229918 \nL 92.828907 175.64745 \nL 89.270691 174.784078 \nL 85.541453 173.586743 \nL 81.674308 171.996594 \nL 77.717552 169.950443 \nL 73.737708 167.383485 \nL 69.822352 164.233651 \nL 66.082141 160.447994 \nL 62.651279 155.991347 \nL 59.685432 150.857089 \nL 57.356039 145.079305 \nL 55.840099 138.744681 \nL 55.305142 132.001533 \nL 55.890226 125.062567 \nL 57.685213 118.197755 \nL 60.712243 111.715205 \nL 64.914007 105.930271 \nL 70.153046 101.127249 \nL 76.223831 97.521288 \nL 82.876007 95.229649 \nL 89.843829 94.259661 \nL 96.875185 94.516024 \nL 103.754231 95.824375 \nL 110.31436 97.963908 \nL 116.441339 100.700549 \nL 122.068939 103.814059 \nL 127.17023 107.11564 \nL 131.747576 110.455921 \nL 135.823333 113.725379 \nL 139.432239 116.849975 \nL 145.417958 122.505473 \nL 150.054368 127.285168 \nL 161.031252 139.009949 \nL 162.95141 140.559107 \nL 164.820372 141.688264 \nL 166.719034 142.432441 \nL 168.702924 142.813327 \nL 170.805119 142.842944 \nL 173.037553 142.527559 \nL 175.39086 141.872119 \nL 177.832998 140.885378 \nL 180.307276 139.585833 \nL 182.730646 138.008314 \nL 184.993612 136.210478 \nL 186.963433 134.27785 \nL 188.492406 132.325247 \nL 189.044792 131.384353 \nL 189.432495 130.49209 \nL 189.640371 129.667628 \nL 189.656067 128.929617 \nL 189.470783 128.295396 \nL 189.079938 127.780164 \nL 188.483691 127.396195 \nL 187.68725 127.152164 \nL 186.700929 127.052681 \nL 185.539938 127.098041 \nL 184.223877 127.284266 \nL 181.222261 128.04427 \nL 177.908276 129.233809 \nL 174.503554 130.727191 \nL 171.208696 132.399212 \nL 168.18283 134.145197 \nL 165.535623 135.889774 \nL 163.329864 137.585585 \nL 161.590422 139.206213 \nL 160.315499 140.737611 \nL 159.487338 142.170786 \nL 159.080938 143.496793 \nL 159.07036 144.703902 \nL 159.432764 145.776322 \nL 160.15059 146.693834 \nL 161.212268 147.431813 \nL 162.611751 147.961377 \nL 164.34706 148.249544 \nL 166.417843 148.259563 \nL 168.821861 147.951642 \nL 171.550172 147.284492 \nL 174.580786 146.218275 \nL 177.870638 144.719715 \nL 181.346023 142.770099 \nL 184.892341 140.376772 \nL 188.345063 137.587833 \nL 189.970034 136.075144 \nL 191.485486 134.508077 \nL 192.856539 132.910678 \nL 194.046484 131.311561 \nL 195.017912 129.743544 \nL 195.734201 128.242837 \nL 196.161289 126.847828 \nL 196.269677 125.597345 \nL 196.036525 124.528591 \nL 195.447661 123.674742 \nL 194.499252 123.062587 \nL 193.198971 122.710313 \nL 191.566379 122.625937 \nL 189.632457 122.806432 \nL 187.438231 123.237943 \nL 185.032597 123.896967 \nL 182.469582 124.752412 \nL 177.095055 126.906734 \nL 171.738173 129.405823 \nL 166.739238 131.999669 \nL 162.321988 134.523941 \nL 158.596859 136.900171 \nL 155.585821 139.111706 \nL 153.253239 141.174432 \nL 151.533094 143.113894 \nL 150.349012 144.951948 \nL 149.627174 146.701314 \nL 149.303636 148.3649 \nL 149.327799 149.937333 \nL 149.663479 151.406957 \nL 150.288624 152.757443 \nL 151.194374 153.968715 \nL 152.383878 155.017079 \nL 153.871054 155.874716 \nL 155.679309 156.508607 \nL 157.840084 156.879032 \nL 160.39093 156.937834 \nL 163.372636 156.626662 \nL 166.824686 155.875658 \nL 170.778054 154.603418 \nL 175.244038 152.719605 \nL 177.663455 151.519387 \nL 180.197637 150.132483 \nL 182.833968 148.549766 \nL 185.554269 146.764623 \nL 188.333739 144.774165 \nL 191.139879 142.580695 \nL 193.931487 140.193422 \nL 196.657854 137.630352 \nL 199.258348 134.920231 \nL 201.662573 132.104332 \nL 203.791402 129.237785 \nL 205.559097 126.390039 \nL 206.876808 123.643992 \nL 207.657503 121.093308 \nL 207.822281 118.837564 \nL 207.307692 116.975159 \nL 206.073312 115.594344 \nL 204.108501 114.763392 \nL 201.437058 114.521403 \nL 198.118581 114.871652 \nL 194.245725 115.779227 \nL 189.937379 117.173941 \nL 185.328635 118.958433 \nL 180.559173 121.019946 \nL 171.054633 125.523624 \nL 158.306863 131.948573 \nL 148.434765 137.078816 \nL 143.469691 139.816756 \nL 139.602529 142.184587 \nL 136.617419 144.327564 \nL 134.303452 146.35011 \nL 132.473201 148.314445 \nL 130.968398 150.250133 \nL 128.439231 154.056051 \nL 125.936406 157.721537 \nL 124.517894 159.470412 \nL 122.909502 161.144351 \nL 121.056135 162.72649 \nL 118.902856 164.195432 \nL 116.393718 165.522038 \nL 113.472006 166.665135 \nL 110.082412 167.565901 \nL 108.196431 167.900504 \nL 106.176111 168.140851 \nL 104.017884 168.271304 \nL 101.720069 168.273625 \nL 99.283526 168.126751 \nL 96.712459 167.806618 \nL 94.015361 167.286116 \nL 91.206125 166.535218 \nL 88.305281 165.521381 \nL 85.341329 164.21033 \nL 82.352087 162.567351 \nL 79.385928 160.559206 \nL 76.502685 158.156822 \nL 73.774018 155.338789 \nL 71.282875 152.095667 \nL 69.121714 148.4349 \nL 67.389141 144.385916 \nL 66.18475 140.00474 \nL 65.602177 135.377116 \nL 65.720776 130.619037 \nL 66.596705 125.873592 \nL 68.254749 121.30344 \nL 70.682359 117.078953 \nL 73.827381 113.363212 \nL 77.600371 110.295975 \nL 81.881545 107.979403 \nL 86.531367 106.468327 \nL 91.40297 105.766899 \nL 96.354292 105.832072 \nL 101.258067 106.582721 \nL 106.008502 107.912225 \nL 110.524372 109.701851 \nL 114.749017 111.832686 \nL 118.648069 114.19473 \nL 122.205939 116.692596 \nL 125.421854 119.248071 \nL 128.306058 121.800292 \nL 130.876479 124.304259 \nL 133.156012 126.728534 \nL 136.94661 131.26455 \nL 139.892301 135.333267 \nL 142.198752 138.93387 \nL 144.850997 143.531198 \nL 147.621463 148.380738 \nL 148.921483 150.336238 \nL 150.274924 152.010029 \nL 151.749008 153.413091 \nL 153.403495 154.546133 \nL 155.293824 155.399235 \nL 157.473251 155.951347 \nL 159.993795 156.169537 \nL 162.905667 156.008166 \nL 166.25467 155.408349 \nL 170.076774 154.298381 \nL 174.388822 152.596367 \nL 176.725172 151.496518 \nL 179.174056 150.21707 \nL 181.724728 148.74912 \nL 184.361387 147.085862 \nL 187.062199 145.223656 \nL 189.7983 143.163353 \nL 192.532825 140.911828 \nL 195.220105 138.483709 \nL 197.805157 135.903181 \nL 200.223656 133.205731 \nL 202.402644 130.439535 \nL 204.26216 127.666173 \nL 205.718098 124.960289 \nL 206.686342 122.407662 \nL 207.088264 120.101443 \nL 206.857263 118.136275 \nL 205.945833 116.600543 \nL 204.332262 115.567447 \nL 202.025843 115.086077 \nL 199.069445 115.174147 \nL 195.538548 115.814077 \nL 191.53642 116.95361 \nL 187.185931 118.51137 \nL 182.619193 120.386451 \nL 173.348282 124.658234 \nL 160.601243 131.037877 \nL 150.512689 136.297618 \nL 145.377715 139.132347 \nL 141.358704 141.578862 \nL 138.255306 143.778903 \nL 135.862744 145.840963 \nL 133.994664 147.833406 \nL 132.491592 149.791419 \nL 130.639735 152.687369 \nL 127.230055 158.268513 \nL 125.925513 160.029559 \nL 124.442837 161.722407 \nL 122.729569 163.334259 \nL 120.732327 164.848867 \nL 118.395317 166.243712 \nL 115.659924 167.486156 \nL 112.465822 168.528283 \nL 108.754427 169.30018 \nL 106.688534 169.554886 \nL 104.475894 169.701505 \nL 102.113667 169.72114 \nL 99.601506 169.591768 \nL 96.942418 169.287998 \nL 94.143774 168.78094 \nL 91.218527 168.038261 \nL 88.186587 167.024494 \nL 85.076344 165.701783 \nL 81.926236 164.031133 \nL 78.786252 161.974402 \nL 75.719141 159.497138 \nL 72.801063 156.572398 \nL 70.121266 153.185552 \nL 67.780429 149.339909 \nL 65.887169 145.062728 \nL 64.552449 140.410838 \nL 63.881828 135.474754 \nL 63.965918 130.379882 \nL 64.870002 125.283481 \nL 66.624302 120.366408 \nL 69.21674 115.81958 \nL 72.59004 111.826466 \nL 76.64427 108.544147 \nL 81.245001 106.086417 \nL 86.235803 104.51233 \nL 91.452874 103.822484 \nL 96.739168 103.963582 \nL 101.955769 104.839679 \nL 106.989172 106.327339 \nL 111.754279 108.291433 \nL 116.193757 110.598873 \nL 120.27494 113.12866 \nL 123.985438 115.777851 \nL 127.328455 118.463806 \nL 130.318452 121.123766 \nL 132.977463 123.712683 \nL 135.332168 126.200275 \nL 139.245969 130.80564 \nL 142.296347 134.881354 \nL 145.73074 140.041366 \nL 149.8684 146.481639 \nL 151.352751 148.426082 \nL 152.885554 150.05205 \nL 154.541997 151.372095 \nL 156.386803 152.387011 \nL 158.47735 153.085795 \nL 160.865468 153.445533 \nL 163.597649 153.431351 \nL 166.713243 152.996688 \nL 170.240118 152.084522 \nL 174.187001 150.630507 \nL 178.531724 148.569618 \nL 180.833951 147.293945 \nL 183.204794 145.848371 \nL 185.624762 144.231315 \nL 188.068679 142.444962 \nL 190.505013 140.496421 \nL 192.895343 138.398988 \nL 195.194081 136.173429 \nL 197.34854 133.849189 \nL 199.299586 131.465311 \nL 200.982924 129.070862 \nL 202.331247 126.724599 \nL 203.277295 124.493564 \nL 203.757792 122.450439 \nL 203.718138 120.669495 \nL 203.117462 119.221294 \nL 201.933503 118.16653 \nL 200.1666 117.549751 \nL 197.842058 117.39395 \nL 195.010242 117.697062 \nL 191.744103 118.431262 \nL 188.134258 119.545482 \nL 184.282229 120.970849 \nL 180.292845 122.628174 \nL 172.294982 126.318962 \nL 164.801716 130.064303 \nL 155.338691 135.100638 \nL 150.389944 137.953213 \nL 146.467503 140.467716 \nL 143.432384 142.743554 \nL 141.122926 144.869333 \nL 139.38202 146.90753 \nL 138.070265 148.89445 \nL 137.070522 150.846397 \nL 135.953364 153.714429 \nL 134.561406 158.296122 \nL 133.467596 161.736579 \nL 132.489587 164.173454 \nL 131.270685 166.489889 \nL 130.274184 167.9707 \nL 129.090353 169.403156 \nL 127.678684 170.788129 \nL 125.991685 172.123968 \nL 123.973485 173.404561 \nL 121.558655 174.616459 \nL 118.671527 175.734615 \nL 115.2266 176.716096 \nL 111.131075 177.490936 \nL 108.809812 177.768526 \nL 106.291331 177.949243 \nL 103.565982 178.01027 \nL 100.626317 177.923905 \nL 97.468225 177.656834 \nL 94.092395 177.169459 \nL 90.506173 176.415334 \nL 86.725833 175.34092 \nL 82.779313 173.885798 \nL 78.709337 171.983702 \nL 74.576789 169.564713 \nL 70.464079 166.559068 \nL 66.477948 162.903103 \nL 62.751003 158.547633 \nL 59.440939 153.468947 \nL 56.726208 147.68188 \nL 54.797016 141.253636 \nL 53.840828 134.315838 \nL 54.022764 127.071129 \nL 55.462721 119.790207 \nL 58.213073 112.795733 \nL 62.242115 106.432231 \nL 67.428537 101.02508 \nL 73.570236 96.836317 \nL 80.406946 94.027733 \nL 87.652041 92.640862 \nL 95.026045 92.598986 \nL 102.284466 93.72944 \nL 109.235093 95.798863 \nL 115.743741 98.551415 \nL 121.730633 101.741472 \nL 127.161091 105.155808 \nL 132.034218 108.624531 \nL 136.372147 112.022706 \nL 140.211192 115.265916 \nL 146.571276 121.107301 \nL 151.485616 125.99614 \nL 161.89539 136.730286 \nL 163.895659 138.435569 \nL 165.750947 139.691643 \nL 167.556396 140.550212 \nL 169.377839 141.047458 \nL 171.255916 141.208301 \nL 173.208797 141.050642 \nL 175.233592 140.589656 \nL 177.306792 139.842329 \nL 179.384199 138.832169 \nL 181.40106 137.594019 \nL 183.273347 136.178378 \nL 184.901214 134.654373 \nL 186.175686 133.110128 \nL 186.989114 131.649139 \nL 187.19303 130.984436 \nL 187.249072 130.381842 \nL 187.150631 129.854099 \nL 186.893952 129.4126 \nL 186.478467 129.066892 \nL 185.90703 128.82426 \nL 185.185983 128.6894 \nL 184.325072 128.664213 \nL 182.238057 128.936399 \nL 179.779035 129.602442 \nL 177.106179 130.591817 \nL 174.381747 131.817547 \nL 171.753244 133.192225 \nL 169.340634 134.639801 \nL 167.230887 136.10118 \nL 165.478895 137.534219 \nL 164.112543 138.91019 \nL 163.139608 140.208995 \nL 162.554734 141.414718 \nL 162.345382 142.512255 \nL 162.496346 143.485199 \nL 162.992714 144.314663 \nL 163.821444 144.978844 \nL 164.971681 145.452973 \nL 166.434009 145.709621 \nL 168.198668 145.719304 \nL 170.252803 145.451562 \nL 172.576646 144.876791 \nL 175.138703 143.969149 \nL 177.889977 142.710948 \nL 180.757638 141.098878 \nL 183.639014 139.152026 \nL 186.397412 136.921113 \nL 188.86218 134.497189 \nL 190.836004 132.016626 \nL 191.573886 130.809585 \nL 192.112208 129.657977 \nL 192.428339 128.588125 \nL 192.503101 127.626218 \nL 192.321993 126.797054 \nL 191.876325 126.122699 \nL 191.164143 125.621154 \nL 190.19085 125.305163 \nL 188.9694 125.18135 \nL 187.52005 125.24972 \nL 185.869602 125.503714 \nL 184.050244 125.93071 \nL 180.051185 127.229423 \nL 175.826961 128.969669 \nL 171.664146 130.964711 \nL 167.793428 133.056315 \nL 164.372318 135.134305 \nL 161.487061 137.136486 \nL 159.16636 139.036614 \nL 157.399263 140.8292 \nL 156.151969 142.516708 \nL 155.38112 144.101283 \nL 155.043106 145.580519 \nL 155.099882 146.946036 \nL 155.522119 148.183473 \nL 156.290488 149.273014 \nL 157.395665 150.189805 \nL 158.837473 150.904073 \nL 160.623336 151.380928 \nL 162.766023 151.579936 \nL 165.280506 151.45477 \nL 168.179531 150.953342 \nL 171.467427 150.019043 \nL 175.13149 148.59405 \nL 179.130428 146.625951 \nL 183.379722 144.079296 \nL 185.555885 142.586808 \nL 187.734791 140.953405 \nL 189.886306 139.188453 \nL 191.974817 137.306817 \nL 193.959223 135.329726 \nL 195.793278 133.285516 \nL 197.426389 131.210056 \nL 198.804964 129.146717 \nL 199.874374 127.145683 \nL 200.581569 125.262478 \nL 200.87825 123.555547 \nL 200.72445 122.082959 \nL 200.0922 120.89834 \nL 198.968882 120.046419 \nL 197.359775 119.558747 \nL 195.289333 119.450186 \nL 192.800832 119.716893 \nL 189.954247 120.336248 \nL 186.822514 121.268869 \nL 183.486608 122.46258 \nL 180.0301 123.8576 \nL 173.071725 127.007956 \nL 166.491028 130.288399 \nL 160.646875 133.413645 \nL 155.709084 136.259559 \nL 151.700998 138.819089 \nL 148.554411 141.143926 \nL 146.156163 143.299782 \nL 144.380112 145.342198 \nL 143.105937 147.308339 \nL 142.228522 149.217806 \nL 141.661391 151.076951 \nL 141.336762 152.883726 \nL 141.203895 154.631597 \nL 141.288821 157.12465 \nL 141.655491 159.437987 \nL 142.280154 161.545599 \nL 142.845408 162.824191 \nL 143.542996 163.992499 \nL 144.391203 165.041295 \nL 145.414573 165.959065 \nL 146.644344 166.730866 \nL 148.1191 167.33692 \nL 149.88558 167.750832 \nL 151.999477 167.937326 \nL 154.52602 167.849371 \nL 157.539914 167.424614 \nL 161.123949 166.581176 \nL 165.365087 165.213131 \nL 170.34615 163.186687 \nL 173.135263 161.876811 \nL 176.130163 160.339368 \nL 179.331202 158.55063 \nL 182.733245 156.486666 \nL 186.32384 154.12457 \nL 190.081034 151.444228 \nL 193.970853 148.430789 \nL 197.944514 145.07791 \nL 201.935531 141.391869 \nL 205.857009 137.396527 \nL 209.59956 133.138891 \nL 213.030523 128.694766 \nL 215.995334 124.17358 \nL 218.322046 119.720993 \nL 219.830019 115.517427 \nL 220.343419 111.770463 \nL 219.709439 108.699394 \nL 217.819753 106.511536 \nL 214.632025 105.372356 \nL 210.186654 105.37441 \nL 204.613417 106.513103 \nL 198.123902 108.677569 \nL 190.989228 111.662285 \nL 183.507134 115.198449 \nL 168.615694 122.793579 \nL 155.187856 129.608161 \nL 149.307684 132.41656 \nL 144.028417 134.788931 \nL 139.337761 136.751913 \nL 131.57183 139.658802 \nL 125.622897 141.599748 \nL 114.757945 144.991198 \nL 110.444529 146.657097 \nL 106.83878 148.034539 \nL 105.072634 148.545042 \nL 103.268172 148.88665 \nL 101.408092 149.020225 \nL 99.496359 148.907863 \nL 97.557253 148.515119 \nL 95.634772 147.814017 \nL 93.791726 146.787286 \nL 92.107577 145.433713 \nL 90.674154 143.774206 \nL 90.081843 142.843724 \nL 89.588476 141.857393 \nL 89.205308 140.82619 \nL 88.942491 139.763028 \nL 88.808659 138.682605 \nL 88.810505 137.601125 \nL 88.952419 136.535944 \nL 89.236179 135.50508 \nL 89.660725 134.526674 \nL 90.222062 133.618382 \nL 90.913269 132.796757 \nL 91.724652 132.07665 \nL 92.644023 131.470686 \nL 93.657072 130.988826 \nL 94.747848 130.63809 \nL 95.899277 130.422399 \nL 97.093709 130.342591 \nL 98.313444 130.39658 \nL 99.541237 130.579632 \nL 100.760705 130.884747 \nL 103.115471 131.824494 \nL 105.274873 133.131502 \nL 107.162713 134.713362 \nL 108.728737 136.480452 \nL 109.944862 138.352799 \nL 110.799955 140.263085 \nL 111.294482 142.156757 \nL 111.435812 143.990345 \nL 111.234581 145.728877 \nL 110.702275 147.342999 \nL 109.849958 148.806162 \nL 108.688125 150.09206 \nL 107.22755 151.17236 \nL 105.481141 152.014829 \nL 103.466753 152.581948 \nL 101.210975 152.830329 \nL 98.753812 152.711217 \nL 96.153982 152.172815 \nL 94.825361 151.730486 \nL 93.494244 151.165117 \nL 92.175429 150.472073 \nL 90.885604 149.648047 \nL 89.643281 148.691531 \nL 88.468641 147.603308 \nL 87.383247 146.386966 \nL 86.409607 145.049409 \nL 85.570623 143.601316 \nL 84.888851 142.057477 \nL 84.385666 140.43699 \nL 84.0803 138.763232 \nL 83.988858 137.063546 \nL 84.123326 135.368639 \nL 84.490702 133.711658 \nL 85.092302 132.126982 \nL 85.923344 130.648793 \nL 86.972839 129.309504 \nL 88.223864 128.138229 \nL 89.654177 127.159371 \nL 91.237153 126.391483 \nL 92.94296 125.846559 \nL 94.739854 125.529718 \nL 96.595524 125.439376 \nL 98.478339 125.567833 \nL 100.358433 125.902165 \nL 102.208568 126.425356 \nL 104.004744 127.117497 \nL 105.726545 127.956989 \nL 107.357261 128.921624 \nL 108.883811 129.98951 \nL 110.296514 131.139793 \nL 111.588758 132.353159 \nL 112.756602 133.612168 \nL 114.714162 136.207544 \nL 116.175207 138.826813 \nL 117.16295 141.400021 \nL 117.708025 143.880482 \nL 117.841456 146.2383 \nL 117.590113 148.454452 \nL 116.974169 150.515806 \nL 116.006091 152.411068 \nL 114.690811 154.127368 \nL 113.026848 155.647258 \nL 111.008341 156.945858 \nL 108.62813 157.988029 \nL 105.882156 158.725505 \nL 104.373056 158.960654 \nL 102.775607 159.094276 \nL 101.093269 159.115611 \nL 99.331267 159.012791 \nL 97.496979 158.772917 \nL 95.600381 158.382229 \nL 93.654496 157.826369 \nL 91.675846 157.090792 \nL 89.684887 156.161329 \nL 87.70637 155.024946 \nL 85.769563 153.670701 \nL 83.908305 152.090919 \nL 82.160777 150.282546 \nL 80.568941 148.248667 \nL 79.177538 146.000041 \nL 78.032618 143.556559 \nL 77.179585 140.94839 \nL 76.660786 138.216608 \nL 76.512801 135.413067 \nL 76.763598 132.599281 \nL 77.429881 129.844217 \nL 78.514955 127.220988 \nL 80.00741 124.802666 \nL 81.88093 122.657607 \nL 84.09531 120.844749 \nL 86.59867 119.409609 \nL 89.330599 118.381358 \nL 92.2259 117.771511 \nL 95.21845 117.574234 \nL 98.24476 117.768222 \nL 101.246894 118.319665 \nL 104.174561 119.185942 \nL 106.986293 120.319415 \nL 109.64981 121.670935 \nL 112.141721 123.192734 \nL 114.446745 124.840558 \nL 116.556649 126.575042 \nL 118.469058 128.362388 \nL 120.186265 130.174492 \nL 121.714108 131.988705 \nL 123.06098 133.78731 \nL 124.236976 135.556911 \nL 126.121128 138.973069 \nL 127.457893 142.191668 \nL 128.333716 145.198144 \nL 128.823194 147.996014 \nL 128.986012 150.598292 \nL 128.866259 153.022045 \nL 128.493037 155.285101 \nL 127.881636 157.404068 \nL 127.034816 159.393111 \nL 125.94395 161.263051 \nL 124.589913 163.020519 \nL 122.943742 164.666845 \nL 120.967187 166.19645 \nL 118.613362 167.594436 \nL 115.827921 168.833052 \nL 112.551357 169.86663 \nL 108.723418 170.624643 \nL 106.585515 170.869291 \nL 104.29112 171.002663 \nL 101.836993 171.004635 \nL 99.22251 170.851594 \nL 96.450604 170.516144 \nL 93.528912 169.966939 \nL 90.471123 169.168705 \nL 87.298545 168.082583 \nL 84.041825 166.666903 \nL 80.74274 164.878603 \nL 77.455921 162.675457 \nL 74.250241 160.019305 \nL 71.209561 156.880441 \nL 68.432339 153.243159 \nL 66.029651 149.112236 \nL 64.121071 144.519873 \nL 62.828066 139.532089 \nL 62.264881 134.253213 \nL 62.527433 128.82684 \nL 63.681407 123.431512 \nL 65.751414 118.27027 \nL 68.713501 113.554051 \nL 72.493039 109.480893 \nL 76.969203 106.214192 \nL 81.98579 103.86436 \nL 87.366558 102.477724 \nL 92.932197 102.034983 \nL 98.515818 102.459116 \nL 103.974512 103.630306 \nL 109.195862 105.404202 \nL 114.099587 107.629693 \nL 118.635404 110.163338 \nL 122.778591 112.879048 \nL 126.524626 115.673024 \nL 129.883891 118.464776 \nL 132.877036 121.19547 \nL 135.531217 123.824786 \nL 139.947426 128.688795 \nL 143.38916 132.970828 \nL 147.252814 138.333743 \nL 151.851919 144.875497 \nL 153.475737 146.796091 \nL 155.137047 148.36794 \nL 156.916536 149.606061 \nL 158.881408 150.51271 \nL 161.08841 151.077796 \nL 163.585314 151.27939 \nL 166.410518 151.084523 \nL 169.590395 150.450716 \nL 173.133901 149.328934 \nL 177.023946 147.669131 \nL 181.205194 145.42976 \nL 183.373532 144.085662 \nL 185.568701 142.592909 \nL 187.765942 140.956542 \nL 189.935154 139.186158 \nL 192.040646 137.296867 \nL 194.041132 135.31019 \nL 195.890071 133.254809 \nL 197.536478 131.167018 \nL 198.926275 129.090711 \nL 200.004297 127.076688 \nL 200.716934 125.181166 \nL 201.015358 123.463352 \nL 200.85915 121.982066 \nL 200.22004 120.791616 \nL 199.085315 119.937286 \nL 197.460409 119.450943 \nL 195.3702 119.347505 \nL 192.85864 119.622864 \nL 189.986583 120.253843 \nL 186.827967 121.200289 \nL 183.464805 122.409105 \nL 179.981637 123.819577 \nL 172.974828 126.998659 \nL 166.355283 130.301476 \nL 160.482735 133.441591 \nL 155.525593 136.29611 \nL 151.504775 138.860174 \nL 148.349547 141.187526 \nL 145.944559 143.345346 \nL 144.161939 145.390038 \nL 142.880052 147.359216 \nL 141.992782 149.272668 \nL 141.412855 151.136857 \nL 141.071802 152.949822 \nL 140.918219 154.705171 \nL 140.96247 157.212345 \nL 141.274398 159.544334 \nL 141.826603 161.676913 \nL 142.628101 163.587898 \nL 143.319384 164.727159 \nL 144.157586 165.74875 \nL 145.167749 166.641657 \nL 146.381454 167.391408 \nL 147.837551 167.978681 \nL 149.58304 168.377564 \nL 151.673964 168.553293 \nL 154.176103 168.459378 \nL 157.165062 168.034003 \nL 160.725097 167.195711 \nL 164.945514 165.838695 \nL 169.912741 163.82861 \nL 172.699121 162.528399 \nL 175.695203 161.001096 \nL 178.902385 159.222364 \nL 182.316745 157.167436 \nL 185.927222 154.812278 \nL 189.713401 152.135323 \nL 193.642962 149.119875 \nL 197.66881 145.757341 \nL 201.726057 142.051365 \nL 205.729104 138.022872 \nL 209.569313 133.715811 \nL 213.11386 129.203136 \nL 216.206705 124.592125 \nL 218.672681 120.02765 \nL 220.325813 115.691467 \nL 220.982668 111.79538 \nL 220.480771 108.566295 \nL 218.700797 106.222486 \nL 215.58941 104.942702 \nL 211.177828 104.833214 \nL 205.590367 105.900813 \nL 199.038299 108.040978 \nL 191.797918 111.047705 \nL 184.176663 114.644859 \nL 168.9556 122.427395 \nL 155.202204 129.428113 \nL 149.178042 132.306511 \nL 143.770904 134.728979 \nL 138.968702 136.722434 \nL 131.024493 139.640007 \nL 124.946937 141.543038 \nL 111.578004 145.455862 \nL 105.217045 147.582531 \nL 103.523249 147.931254 \nL 101.804267 148.102195 \nL 100.05432 148.060911 \nL 98.287388 147.776316 \nL 96.535857 147.223202 \nL 94.849119 146.385514 \nL 93.291443 145.260428 \nL 91.938373 143.862943 \nL 90.871112 142.230238 \nL 90.168606 140.424537 \nL 89.975807 139.483175 \nL 89.897776 138.533047 \nL 89.939289 137.588239 \nL 90.103121 136.663589 \nL 90.389841 135.774281 \nL 90.797671 134.935405 \nL 91.322434 134.161485 \nL 91.9576 133.465989 \nL 92.694432 132.860888 \nL 93.522216 132.356271 \nL 94.428587 131.960034 \nL 95.399897 131.677668 \nL 96.421624 131.512168 \nL 97.478806 131.464066 \nL 99.639926 131.710651 \nL 101.769478 132.379165 \nL 103.768448 133.407461 \nL 105.558064 134.720474 \nL 107.081273 136.240096 \nL 108.301171 137.892388 \nL 109.197572 139.611766 \nL 109.762872 141.342541 \nL 109.998035 143.038513 \nL 109.909225 144.661398 \nL 109.50537 146.178707 \nL 108.796688 147.561423 \nL 107.794224 148.7818 \nL 106.51031 149.811392 \nL 104.959933 150.619414 \nL 103.162964 151.171647 \nL 101.147184 151.430002 \nL 98.951994 151.353165 \nL 96.632516 150.898717 \nL 94.263568 150.027277 \nL 93.090059 149.425294 \nL 91.942552 148.709168 \nL 90.836837 147.878243 \nL 89.789971 146.93376 \nL 88.820032 145.879252 \nL 87.945785 144.720905 \nL 87.186234 143.467896 \nL 86.560058 142.13263 \nL 86.084979 140.730873 \nL 85.777028 139.281709 \nL 85.649803 137.807329 \nL 85.713723 136.33258 \nL 85.975348 134.884296 \nL 86.436842 133.49043 \nL 87.095597 132.179009 \nL 87.944102 130.976992 \nL 88.970058 129.909108 \nL 90.156759 128.996758 \nL 91.48371 128.257122 \nL 92.927441 127.702462 \nL 94.462447 127.33978 \nL 96.062198 127.170766 \nL 97.700123 127.192075 \nL 99.350499 127.395858 \nL 100.989227 127.770502 \nL 102.594409 128.301496 \nL 104.14676 128.972307 \nL 105.629832 129.765269 \nL 107.030074 130.662341 \nL 108.33676 131.645772 \nL 110.639532 133.805084 \nL 112.50038 136.12295 \nL 113.909896 138.5028 \nL 114.877181 140.87179 \nL 115.42129 143.17742 \nL 115.564661 145.382783 \nL 115.328563 147.461663 \nL 114.730357 149.39408 \nL 113.782267 151.162435 \nL 112.491373 152.748167 \nL 110.860688 154.128807 \nL 108.89126 155.275292 \nL 106.585392 156.149498 \nL 103.951187 156.702081 \nL 102.516543 156.838887 \nL 101.008653 156.870998 \nL 99.433167 156.788658 \nL 97.797553 156.581449 \nL 96.111431 156.238437 \nL 94.386898 155.748446 \nL 92.638856 155.10039 \nL 90.885307 154.283761 \nL 89.147565 153.28922 \nL 87.45038 152.109352 \nL 85.821899 150.739548 \nL 84.293447 149.178996 \nL 82.899016 147.43176 \nL 81.674491 145.507862 \nL 80.65654 143.424247 \nL 79.881149 141.205554 \nL 79.381907 138.884499 \nL 79.188042 136.501729 \nL 79.322413 134.105031 \nL 79.799602 131.747821 \nL 80.624334 129.486892 \nL 81.790434 127.379568 \nL 83.280495 125.480468 \nL 85.066356 123.838216 \nL 87.110408 122.492452 \nL 89.367588 121.471518 \nL 91.787877 120.791061 \nL 94.319027 120.453759 \nL 96.909224 120.450065 \nL 99.509459 120.759891 \nL 102.075388 121.354884 \nL 104.568634 122.20104 \nL 106.957479 123.261283 \nL 109.217041 124.497796 \nL 111.32902 125.873935 \nL 113.281138 127.355643 \nL 115.06638 128.912365 \nL 116.682163 130.517525 \nL 118.129476 132.148648 \nL 119.412072 133.787228 \nL 120.535734 135.418405 \nL 122.335784 138.614903 \nL 123.594537 141.67617 \nL 124.378164 144.57151 \nL 124.746037 147.290232 \nL 124.746368 149.833289 \nL 124.414317 152.207431 \nL 123.771635 154.421188 \nL 122.827156 156.482043 \nL 121.577728 158.394289 \nL 120.009354 160.157077 \nL 118.098527 161.762329 \nL 115.813899 163.192177 \nL 113.118641 164.415646 \nL 109.97404 165.384325 \nL 108.22197 165.751905 \nL 106.345219 166.026934 \nL 104.341499 166.195887 \nL 102.210137 166.243021 \nL 99.952637 166.150183 \nL 97.573375 165.896729 \nL 95.080379 165.459493 \nL 92.486252 164.812942 \nL 89.809181 163.929527 \nL 87.074025 162.780354 \nL 84.313385 161.336229 \nL 81.568598 159.569215 \nL 78.890483 157.454748 \nL 76.339643 154.974396 \nL 73.986118 152.119217 \nL 71.90808 148.893599 \nL 70.189345 145.319311 \nL 68.915522 141.439215 \nL 68.16877 137.320029 \nL 68.021386 133.053291 \nL 68.52875 128.753714 \nL 69.722513 124.554291 \nL 71.605107 120.598057 \nL 74.146679 117.02706 \nL 77.285349 113.96986 \nL 80.931076 111.529425 \nL 84.972755 109.773641 \nL 89.28748 108.730019 \nL 93.75046 108.385566 \nL 98.24409 108.691544 \nL 102.66498 109.571836 \nL 106.928343 110.933222 \nL 110.969723 112.675559 \nL 114.744525 114.70055 \nL 118.226015 116.918156 \nL 121.402472 119.250503 \nL 124.274089 121.633566 \nL 126.850001 124.017094 \nL 129.145662 126.363438 \nL 131.180687 128.645764 \nL 134.558168 132.953358 \nL 137.166871 136.869293 \nL 139.184555 140.386335 \nL 141.442203 144.968392 \nL 145.127994 153.023207 \nL 146.140369 154.771842 \nL 147.243022 156.304566 \nL 148.484441 157.625517 \nL 149.911377 158.730996 \nL 151.571267 159.608924 \nL 153.514073 160.237933 \nL 155.793439 160.586016 \nL 158.466947 160.608761 \nL 161.595057 160.247269 \nL 165.238001 159.426117 \nL 169.449517 158.052137 \nL 174.265787 156.015522 \nL 176.902957 154.711195 \nL 179.687415 153.195922 \nL 182.609199 151.45552 \nL 185.652123 149.477857 \nL 188.792331 147.254283 \nL 191.99674 144.781443 \nL 195.221472 142.063535 \nL 198.410388 139.114905 \nL 201.49397 135.96296 \nL 204.388844 132.651106 \nL 206.998306 129.241336 \nL 209.21431 125.815931 \nL 210.921357 122.477487 \nL 212.002622 119.346447 \nL 212.348397 116.555376 \nL 211.866523 114.239471 \nL 210.493833 112.52359 \nL 208.207002 111.507085 \nL 205.030615 111.248817 \nL 201.04033 111.755613 \nL 196.359466 112.97752 \nL 191.148837 114.811887 \nL 185.591226 117.116339 \nL 179.873411 119.728023 \nL 168.626537 125.24323 \nL 149.852495 134.589444 \nL 135.240948 141.697284 \nL 131.536436 143.733559 \nL 128.641143 145.587705 \nL 126.314359 147.357008 \nL 123.461344 149.942587 \nL 119.207438 154.069687 \nL 117.378041 155.598157 \nL 115.361614 157.011285 \nL 113.099903 158.271039 \nL 110.545022 159.331588 \nL 107.660042 160.13625 \nL 104.42209 160.613917 \nL 102.668878 160.703121 \nL 100.828458 160.675716 \nL 98.905216 160.517489 \nL 96.906206 160.213029 \nL 94.841633 159.745898 \nL 92.725393 159.098936 \nL 90.575614 158.254712 \nL 88.415161 157.196205 \nL 86.27208 155.907711 \nL 84.179877 154.376024 \nL 82.177567 152.591877 \nL 80.309383 150.551651 \nL 78.624033 148.259257 \nL 77.173428 145.728062 \nL 76.010778 142.982679 \nL 75.188079 140.060345 \nL 74.753042 137.011573 \nL 74.745658 133.899758 \nL 75.194712 130.79947 \nL 76.114618 127.793313 \nL 77.503049 124.967411 \nL 79.339779 122.405865 \nL 81.587011 120.184797 \nL 84.191303 118.366678 \nL 87.086905 116.995816 \nL 90.200116 116.095589 \nL 93.454096 115.667838 \nL 96.773528 115.694337 \nL 100.088615 116.140079 \nL 103.338065 116.957637 \nL 106.47092 118.092012 \nL 109.447271 119.485237 \nL 112.238056 121.080289 \nL 114.824193 122.824017 \nL 117.19529 124.669091 \nL 119.348174 126.574977 \nL 121.285407 128.508182 \nL 123.013887 130.441942 \nL 124.543623 132.355591 \nL 125.886686 134.233745 \nL 128.066442 137.843308 \nL 129.662697 141.2217 \nL 130.779626 144.356141 \nL 131.508115 147.254261 \nL 131.922516 149.933929 \nL 132.080213 152.417133 \nL 132.022687 154.72649 \nL 131.777218 156.883395 \nL 131.358678 158.907121 \nL 130.771117 160.81445 \nL 130.008976 162.61954 \nL 129.057883 164.333828 \nL 127.895039 165.965813 \nL 126.489237 167.520546 \nL 124.80061 168.998692 \nL 122.78025 170.394921 \nL 120.369918 171.695328 \nL 117.502222 172.873516 \nL 114.101906 173.884782 \nL 110.0893 174.657808 \nL 107.828971 174.922677 \nL 105.387658 175.083251 \nL 102.758493 175.11751 \nL 99.937059 174.999082 \nL 96.922469 174.696717 \nL 93.718719 174.17383 \nL 90.336358 173.388227 \nL 86.794481 172.292137 \nL 83.123054 170.832741 \nL 79.365466 168.953452 \nL 75.581184 166.596233 \nL 71.848192 163.705321 \nL 68.2648 160.232613 \nL 64.950171 156.144955 \nL 62.042773 151.43322 \nL 59.695888 146.122635 \nL 58.069363 140.283103 \nL 57.317359 134.037459 \nL 57.572482 127.564973 \nL 58.928048 121.097163 \nL 61.421357 114.903734 \nL 65.021754 109.268451 \nL 69.627137 104.457592 \nL 75.071011 100.686628 \nL 81.13965 98.092483 \nL 87.596056 96.718056 \nL 94.205601 96.512636 \nL 100.758035 97.347256 \nL 107.082265 99.040174 \nL 113.052707 101.385621 \nL 118.588348 104.179617 \nL 123.646907 107.238848 \nL 128.2167 110.411331 \nL 132.308291 113.579893 \nL 135.947122 116.660407 \nL 139.167668 119.597094 \nL 144.512379 124.922634 \nL 148.665298 129.462226 \nL 158.773311 140.969408 \nL 160.656398 142.567886 \nL 162.542547 143.760733 \nL 164.510993 144.572293 \nL 166.619038 145.013743 \nL 168.904401 145.085852 \nL 171.385759 144.782231 \nL 174.061404 144.093343 \nL 176.906157 143.011727 \nL 179.866884 141.53887 \nL 182.857452 139.693837 \nL 185.754612 137.523379 \nL 188.397117 135.112058 \nL 190.591183 132.589614 \nL 191.454077 131.339897 \nL 192.125582 130.131159 \nL 192.580941 128.990418 \nL 192.798225 127.945206 \nL 192.759629 127.022336 \nL 192.452723 126.246547 \nL 191.871586 125.639071 \nL 191.017634 125.216278 \nL 189.900104 124.988554 \nL 188.53604 124.959576 \nL 186.949788 125.126005 \nL 185.171989 125.477822 \nL 183.238164 125.99911 \nL 179.058539 127.464917 \nL 174.725878 129.332324 \nL 170.524563 131.411458 \nL 166.673482 133.550371 \nL 163.313881 135.649664 \nL 160.51571 137.657895 \nL 158.294071 139.556981 \nL 156.628114 141.346349 \nL 155.477735 143.030685 \nL 154.796231 144.61257 \nL 154.538828 146.089125 \nL 154.6678 147.451133 \nL 155.155069 148.683374 \nL 155.9831 149.765242 \nL 157.144652 150.67116 \nL 158.641759 151.370618 \nL 160.484086 151.827869 \nL 162.6866 152.001404 \nL 165.266343 151.843495 \nL 168.237877 151.30027 \nL 171.606843 150.312973 \nL 175.360959 148.821379 \nL 179.457872 146.770815 \nL 183.809693 144.124373 \nL 186.036895 142.575554 \nL 188.265154 140.881933 \nL 190.462824 139.053544 \nL 192.592484 137.106253 \nL 194.61093 135.06271 \nL 196.469575 132.953116 \nL 198.115324 130.815645 \nL 199.492055 128.696386 \nL 200.542763 126.648535 \nL 201.212402 124.730728 \nL 201.451319 123.00437 \nL 201.219094 121.529981 \nL 200.488436 120.362785 \nL 199.248686 119.54792 \nL 197.508368 119.115908 \nL 195.29633 119.079068 \nL 192.661053 119.429685 \nL 189.668098 120.140269 \nL 186.395821 121.166146 \nL 182.929965 122.450028 \nL 175.762688 125.534527 \nL 168.791356 128.902547 \nL 162.467705 132.188577 \nL 157.037299 135.203512 \nL 152.571491 137.904796 \nL 149.024901 140.33413 \nL 146.289609 142.562161 \nL 144.234466 144.654941 \nL 142.729181 146.660173 \nL 141.656958 148.605687 \nL 140.919678 150.50341 \nL 140.438759 152.354679 \nL 140.153733 154.154893 \nL 139.999217 156.743661 \nL 140.089298 159.176404 \nL 140.374202 161.432182 \nL 140.83975 163.494869 \nL 141.499184 165.350801 \nL 142.389387 166.985063 \nL 143.139857 167.941586 \nL 144.043443 168.781916 \nL 145.130251 169.494201 \nL 146.437145 170.062243 \nL 148.0088 170.463974 \nL 149.898854 170.669456 \nL 152.171001 170.638242 \nL 154.899773 170.315974 \nL 158.170491 169.630087 \nL 162.077513 168.484695 \nL 166.719266 166.755121 \nL 172.187565 164.28346 \nL 175.253855 162.710673 \nL 178.547389 160.878302 \nL 182.066338 158.75882 \nL 185.801678 156.324934 \nL 189.734807 153.551322 \nL 193.834741 150.41713 \nL 198.054905 146.90939 \nL 202.329654 143.027495 \nL 206.570822 138.788792 \nL 210.664725 134.235117 \nL 214.470349 129.439837 \nL 217.819718 124.514463 \nL 220.521669 119.61325 \nL 222.370408 114.933619 \nL 223.159918 110.709635 \nL 222.704593 107.196101 \nL 220.864804 104.641826 \nL 217.573946 103.253696 \nL 212.861141 103.157185 \nL 206.862398 104.363133 \nL 199.814234 106.752414 \nL 192.028064 110.086978 \nL 183.849902 114.04758 \nL 153.090289 129.88925 \nL 146.781153 132.848293 \nL 141.146184 135.283636 \nL 136.163726 137.235089 \nL 131.789133 138.767429 \nL 127.966007 139.954178 \nL 121.733031 141.569355 \nL 115.07858 142.895878 \nL 102.716773 144.985573 \nL 100.778474 145.045572 \nL 98.959494 144.807081 \nL 97.816327 144.458723 \nL 96.749422 143.951767 \nL 95.78679 143.289386 \nL 94.962185 142.484439 \nL 94.311614 141.560387 \nL 93.869436 140.551455 \nL 93.664244 139.501751 \nL 93.714891 138.463026 \nL 94.027181 137.491129 \nL 94.591787 136.641381 \nL 95.383863 135.963493 \nL 96.364453 135.496878 \nL 97.483578 135.267112 \nL 98.684461 135.284198 \nL 99.908141 135.542777 \nL 101.097803 136.024074 \nL 102.202212 136.698971 \nL 103.177979 137.531555 \nL 103.990637 138.4825 \nL 104.614689 139.51181 \nL 105.032946 140.580793 \nL 105.235468 141.653164 \nL 105.218424 142.695491 \nL 104.983081 143.677079 \nL 104.535076 144.569582 \nL 103.884075 145.346469 \nL 103.043827 145.982524 \nL 102.032617 146.453545 \nL 100.874053 146.736359 \nL 99.598056 146.80932 \nL 98.241899 146.653367 \nL 96.851044 146.253793 \nL 95.479428 145.602714 \nL 94.188848 144.702154 \nL 93.046988 143.567425 \nL 92.123827 142.230271 \nL 91.48631 140.740914 \nL 91.191619 139.168071 \nL 91.279893 137.596072 \nL 91.767656 136.118691 \nL 92.643485 134.830129 \nL 93.215428 134.283637 \nL 94.589797 133.430275 \nL 96.205933 132.936726 \nL 97.973435 132.826004 \nL 99.797051 133.092242 \nL 101.5856 133.704668 \nL 103.258822 134.614365 \nL 104.751469 135.76198 \nL 106.014671 137.084761 \nL 107.015099 138.521891 \nL 107.732757 140.017788 \nL 108.158156 141.523537 \nL 108.289499 142.996912 \nL 108.130276 144.401444 \nL 107.687518 145.70496 \nL 106.97081 146.877968 \nL 105.992092 147.892073 \nL 104.766222 148.718608 \nL 103.312274 149.327638 \nL 101.655488 149.68751 \nL 99.829747 149.765176 \nL 97.88038 149.527564 \nL 95.866889 148.944323 \nL 93.865036 147.992227 \nL 91.967383 146.66134 \nL 90.281323 144.962599 \nL 89.553951 143.9864 \nL 88.923432 142.935826 \nL 88.404152 141.821448 \nL 88.009607 140.65625 \nL 87.751898 139.455576 \nL 87.641203 138.23692 \nL 87.685288 137.019592 \nL 87.889033 135.824242 \nL 88.254081 134.672249 \nL 88.778575 133.585016 \nL 89.457076 132.583184 \nL 90.280619 131.685865 \nL 91.236951 130.909884 \nL 92.310923 130.269154 \nL 93.485025 129.774174 \nL 94.739998 129.43173 \nL 96.055528 129.244789 \nL 97.410922 129.212607 \nL 98.785759 129.331008 \nL 100.160473 129.592812 \nL 101.516825 129.988372 \nL 102.838263 130.506156 \nL 104.110172 131.133344 \nL 106.457291 132.661556 \nL 108.48242 134.464491 \nL 110.139897 136.441551 \nL 111.408381 138.506679 \nL 112.284019 140.590394 \nL 112.773939 142.638695 \nL 112.890868 144.610272 \nL 112.649181 146.473059 \nL 112.062371 148.200735 \nL 111.14184 149.769488 \nL 109.896868 151.155104 \nL 108.335637 152.33041 \nL 106.467318 153.263096 \nL 104.305211 153.913922 \nL 101.871043 154.235638 \nL 99.200405 154.172971 \nL 97.792899 153.978432 \nL 96.349213 153.664477 \nL 94.880651 153.223213 \nL 93.400634 152.647154 \nL 91.92485 151.929597 \nL 90.471344 151.065086 \nL 89.060522 150.049958 \nL 87.715039 148.882958 \nL 86.459543 147.565911 \nL 85.320236 146.104404 \nL 84.324252 144.50844 \nL 83.498842 142.792992 \nL 82.870348 140.978383 \nL 82.463013 139.090405 \nL 82.297725 137.160101 \nL 82.390699 135.223139 \nL 82.752284 133.318772 \nL 83.385969 131.488358 \nL 84.287726 129.773557 \nL 85.445765 128.214283 \nL 86.840786 126.846657 \nL 88.446725 125.701084 \nL 90.23193 124.800693 \nL 92.160671 124.160317 \nL 94.194852 123.786068 \nL 96.295754 123.675551 \nL 98.425662 123.818646 \nL 100.549262 124.19875 \nL 102.63471 124.794291 \nL 104.654377 125.580349 \nL 106.585207 126.53023 \nL 108.408811 127.616871 \nL 110.111286 128.813983 \nL 111.682863 130.096921 \nL 113.117429 131.443268 \nL 114.411997 132.833156 \nL 115.566145 134.249391 \nL 117.461161 137.105107 \nL 118.831155 139.922149 \nL 119.716466 142.643852 \nL 120.159478 145.236633 \nL 120.198304 147.682258 \nL 119.863121 149.971567 \nL 119.174431 152.099594 \nL 118.14267 154.061787 \nL 116.768751 155.850881 \nL 115.045345 157.454117 \nL 112.958876 158.850446 \nL 110.492419 160.007482 \nL 107.629864 160.878162 \nL 106.046672 161.186502 \nL 104.361938 161.397114 \nL 102.576974 161.498406 \nL 100.694769 161.477281 \nL 98.720439 161.319135 \nL 96.661756 161.007914 \nL 94.529703 160.526303 \nL 92.339101 159.856023 \nL 90.109224 158.978345 \nL 87.864401 157.874795 \nL 85.634528 156.528151 \nL 83.455433 154.923735 \nL 81.368971 153.051013 \nL 79.42273 150.905499 \nL 77.669269 148.490855 \nL 76.164715 145.821093 \nL 74.966673 142.922589 \nL 74.131416 139.835676 \nL 73.710448 136.615387 \nL 73.746663 133.331007 \nL 74.270423 130.064118 \nL 75.296047 126.904978 \nL 76.819235 123.947349 \nL 78.815905 121.282164 \nL 81.24276 118.990792 \nL 84.03966 117.13874 \nL 87.133596 115.770753 \nL 90.443705 114.908064 \nL 93.886704 114.548077 \nL 97.382042 114.666503 \nL 100.856156 115.221368 \nL 104.245533 116.158194 \nL 107.498409 117.415457 \nL 110.575263 118.929662 \nL 113.448322 120.639493 \nL 116.100399 122.488808 \nL 118.523337 124.42845 \nL 120.716333 126.417053 \nL 122.684296 128.421057 \nL 124.436352 130.41417 \nL 125.98455 132.376544 \nL 128.525976 136.156056 \nL 130.427798 139.693166 \nL 131.807311 142.967065 \nL 132.769436 145.982897 \nL 133.402163 148.758958 \nL 133.77559 151.318994 \nL 133.942933 153.687886 \nL 133.887687 156.93418 \nL 133.529212 159.873925 \nL 132.894537 162.565273 \nL 132.31301 164.245003 \nL 131.59117 165.846677 \nL 130.70997 167.379848 \nL 129.643627 168.852181 \nL 128.359134 170.269102 \nL 126.815513 171.633055 \nL 124.962894 172.942182 \nL 122.741556 174.188158 \nL 120.081202 175.352802 \nL 116.900921 176.402914 \nL 113.110672 177.282607 \nL 108.615726 177.902241 \nL 106.075359 178.073624 \nL 103.326493 178.123129 \nL 100.361831 178.02251 \nL 97.177527 177.737821 \nL 93.774689 177.228717 \nL 90.161276 176.447931 \nL 86.354432 175.341019 \nL 82.383272 173.84665 \nL 78.292065 171.897697 \nL 74.143652 169.423577 \nL 70.02282 166.35424 \nL 66.039069 162.62634 \nL 62.328025 158.191929 \nL 59.050404 153.029741 \nL 56.387301 147.158557 \nL 54.530641 140.651115 \nL 53.668097 133.645985 \nL 53.962864 126.353601 \nL 55.53044 119.052207 \nL 58.41638 112.070335 \nL 62.580371 105.755155 \nL 67.891918 100.43039 \nL 74.140632 96.351832 \nL 81.060269 93.671279 \nL 88.361379 92.418357 \nL 95.764921 92.504713 \nL 103.029472 93.748289 \nL 109.967497 95.909735 \nL 116.450023 98.730828 \nL 122.402174 101.966574 \nL 127.793359 105.406433 \nL 132.625796 108.884215 \nL 136.923794 112.278892 \nL 140.725075 115.50962 \nL 147.018992 121.310348 \nL 151.88099 126.150124 \nL 162.194607 136.727266 \nL 164.182529 138.396436 \nL 166.028039 139.619943 \nL 167.824319 140.449272 \nL 169.63539 140.920581 \nL 171.500209 141.05904 \nL 173.435348 140.883102 \nL 175.436439 140.408813 \nL 177.478684 139.654288 \nL 179.516929 138.644381 \nL 181.486011 137.415308 \nL 183.302309 136.018713 \nL 184.867513 134.524303 \nL 186.07551 133.019764 \nL 186.822914 131.606819 \nL 186.995643 130.96829 \nL 187.022688 130.392598 \nL 186.898187 129.89187 \nL 186.619103 129.476839 \nL 186.185522 129.15638 \nL 185.600848 128.93713 \nL 184.871839 128.823193 \nL 183.023866 128.914157 \nL 180.754965 129.408912 \nL 178.210653 130.251177 \nL 175.549102 131.362008 \nL 172.921653 132.655516 \nL 170.457756 134.052196 \nL 168.256644 135.486957 \nL 166.385665 136.911339 \nL 164.883598 138.291409 \nL 163.76667 139.603591 \nL 163.03535 140.83016 \nL 162.680578 141.955542 \nL 162.688741 142.96373 \nL 163.045198 143.836801 \nL 163.736366 144.554183 \nL 164.750525 145.092477 \nL 166.077503 145.425623 \nL 167.707318 145.525389 \nL 169.627853 145.362288 \nL 171.821524 144.907109 \nL 174.260945 144.133375 \nL 176.903651 143.021115 \nL 179.686158 141.562262 \nL 182.518013 139.767803 \nL 185.277087 137.67633 \nL 187.808139 135.362697 \nL 189.927272 132.944243 \nL 190.770119 131.744192 \nL 191.435193 130.58077 \nL 191.899062 129.478836 \nL 192.140818 128.463835 \nL 192.14324 127.560707 \nL 191.893949 126.792683 \nL 191.386424 126.179996 \nL 190.620812 125.738649 \nL 189.604389 125.479374 \nL 188.351651 125.406884 \nL 186.883919 125.519563 \nL 185.228528 125.809618 \nL 183.417611 126.263703 \nL 179.472669 127.589424 \nL 175.342998 129.324646 \nL 171.300851 131.291866 \nL 167.562394 133.343285 \nL 164.273347 135.377155 \nL 161.512147 137.336351 \nL 159.303557 139.196536 \nL 157.635703 140.95193 \nL 156.475856 142.603599 \nL 155.78283 144.151934 \nL 155.515649 145.592854 \nL 155.63891 146.91652 \nL 156.125681 148.107331 \nL 156.958623 149.144373 \nL 158.129889 150.001741 \nL 159.640149 150.648612 \nL 161.496893 151.049049 \nL 163.711976 151.161665 \nL 166.29816 150.939469 \nL 169.264262 150.330373 \nL 172.608433 149.279003 \nL 176.308958 147.730886 \nL 180.312199 145.640232 \nL 184.517837 142.982844 \nL 186.648462 141.44452 \nL 188.762789 139.775135 \nL 190.828335 137.987148 \nL 192.80739 136.098796 \nL 194.657222 134.134822 \nL 196.330679 132.12699 \nL 197.777273 130.114223 \nL 198.94482 128.142181 \nL 199.781687 126.262152 \nL 200.23959 124.529133 \nL 200.27683 122.999033 \nL 199.861737 121.725139 \nL 198.975983 120.75404 \nL 197.617315 120.121525 \nL 195.80128 119.848939 \nL 193.561573 119.940662 \nL 190.948744 120.38322 \nL 188.027343 121.146329 \nL 184.871752 122.185789 \nL 181.561236 123.447897 \nL 174.786953 126.408454 \nL 168.259271 129.597174 \nL 162.370566 132.703199 \nL 157.329987 135.569363 \nL 153.194781 138.161875 \nL 149.92099 140.516584 \nL 147.410448 142.692685 \nL 145.545005 144.744907 \nL 144.207735 146.712166 \nL 143.294267 148.616299 \nL 142.717603 150.465444 \nL 142.409081 152.258486 \nL 142.317294 153.988982 \nL 142.406123 155.64797 \nL 142.652563 157.225621 \nL 143.044746 158.712021 \nL 143.580321 160.097279 \nL 144.265297 161.371173 \nL 145.113306 162.522493 \nL 146.145296 163.538114 \nL 147.389559 164.401831 \nL 148.882044 165.092919 \nL 150.666823 165.584353 \nL 152.796575 165.84057 \nL 155.332805 165.814738 \nL 158.345375 165.445428 \nL 161.910645 164.652847 \nL 166.107041 163.335029 \nL 171.006237 161.365089 \nL 173.736231 160.089129 \nL 176.657268 158.59184 \nL 179.76758 156.85188 \nL 183.059866 154.848181 \nL 186.51958 152.561199 \nL 190.122933 149.974665 \nL 193.834622 147.077933 \nL 197.605395 143.869035 \nL 201.369607 140.358435 \nL 205.043052 136.573424 \nL 208.521504 132.562896 \nL 211.680562 128.401985 \nL 214.377526 124.195692 \nL 216.456161 120.080293 \nL 217.755055 116.220939 \nL 218.120029 112.803911 \nL 217.42024 110.022256 \nL 215.566519 108.05495 \nL 212.52912 107.041538 \nL 208.350948 107.05677 \nL 203.151955 108.091584 \nL 197.121805 110.046899 \nL 190.50072 112.744176 \nL 183.551843 115.951676 \nL 169.663399 122.918039 \nL 157.031787 129.315135 \nL 146.432518 134.344877 \nL 137.976627 137.967956 \nL 128.730052 141.512635 \nL 120.876626 144.522728 \nL 116.938407 146.351014 \nL 108.085368 150.906246 \nL 106.041404 151.565937 \nL 103.862271 152.003175 \nL 101.540886 152.166884 \nL 99.092499 152.003897 \nL 96.556714 151.461182 \nL 94.000007 150.490172 \nL 92.742433 149.831779 \nL 91.517615 149.053855 \nL 90.341889 148.155249 \nL 89.233112 147.136962 \nL 88.21038 146.002571 \nL 87.293624 144.758641 \nL 86.503095 143.415105 \nL 85.858717 141.985517 \nL 85.379343 140.487201 \nL 85.081936 138.941188 \nL 84.980702 137.371943 \nL 85.086262 135.806831 \nL 85.404896 134.275327 \nL 85.937953 132.807997 \nL 86.681473 131.435286 \nL 87.626081 130.186203 \nL 88.757189 129.087014 \nL 90.055482 128.160036 \nL 91.497675 127.42264 \nL 93.057486 126.886613 \nL 94.706721 126.557794 \nL 96.416425 126.436175 \nL 98.157949 126.516299 \nL 99.903933 126.787964 \nL 101.629088 127.237115 \nL 103.310792 127.846859 \nL 104.929448 128.598462 \nL 106.46867 129.47233 \nL 107.91527 130.448817 \nL 109.259118 131.508902 \nL 110.492892 132.634703 \nL 112.613052 135.019518 \nL 114.260647 137.49251 \nL 115.44351 139.97012 \nL 116.18237 142.392726 \nL 116.502964 144.719456 \nL 116.430462 146.922664 \nL 115.985964 148.982889 \nL 115.184698 150.884567 \nL 114.035556 152.612374 \nL 112.541741 154.148091 \nL 110.702406 155.467732 \nL 108.515319 156.538841 \nL 105.980758 157.317907 \nL 103.106901 157.748116 \nL 101.549195 157.810623 \nL 99.917073 157.757916 \nL 98.217343 157.578805 \nL 96.459019 157.261387 \nL 94.653719 156.793287 \nL 92.816032 156.161986 \nL 90.963872 155.355294 \nL 89.118787 154.361953 \nL 87.306162 153.172444 \nL 85.555262 151.779897 \nL 83.899093 150.181228 \nL 82.373962 148.378331 \nL 81.018722 146.37935 \nL 79.873649 144.199888 \nL 78.978903 141.864012 \nL 78.372644 139.404874 \nL 78.088838 136.864795 \nL 78.15494 134.294608 \nL 78.589622 131.752149 \nL 79.400823 129.299858 \nL 80.584364 127.001642 \nL 82.123371 124.919175 \nL 83.988638 123.108021 \nL 86.139975 121.614058 \nL 88.528413 120.4706 \nL 91.099057 119.69663 \nL 93.794214 119.296265 \nL 96.556526 119.259574 \nL 99.33172 119.564448 \nL 102.070806 120.179263 \nL 104.731573 121.065914 \nL 107.279389 122.18286 \nL 109.687375 123.487845 \nL 111.936076 124.940112 \nL 114.012781 126.502021 \nL 115.910633 128.140059 \nL 117.627654 129.825348 \nL 119.165757 131.533722 \nL 120.529831 133.24552 \nL 121.726912 134.945192 \nL 123.654853 138.263424 \nL 125.024737 141.426637 \nL 125.912105 144.406694 \nL 126.384458 147.196512 \nL 126.496884 149.801016 \nL 126.290325 152.231001 \nL 125.79142 154.499157 \nL 125.013177 156.617428 \nL 123.955976 158.595148 \nL 122.608655 160.437511 \nL 120.949575 162.144019 \nL 118.947738 163.706532 \nL 116.564173 165.106687 \nL 113.754005 166.312315 \nL 110.469841 167.272593 \nL 108.635846 167.638222 \nL 106.667473 167.911747 \nL 104.561225 168.078546 \nL 102.315273 168.121451 \nL 99.93007 168.020514 \nL 97.409122 167.752826 \nL 94.759899 167.292445 \nL 91.994887 166.610478 \nL 89.132792 165.675415 \nL 86.199839 164.453794 \nL 83.231106 162.911342 \nL 80.271783 161.0147 \nL 77.378178 158.733878 \nL 74.618231 156.045483 \nL 72.071257 152.936777 \nL 69.82652 149.410379 \nL 67.980378 145.489286 \nL 66.631662 141.221607 \nL 65.875304 136.68413 \nL 65.794432 131.983621 \nL 66.451659 127.254778 \nL 67.880712 122.65402 \nL 70.079807 118.348942 \nL 73.008302 114.504247 \nL 76.587677 111.266005 \nL 80.707129 108.746858 \nL 85.233128 107.014967 \nL 90.021321 106.088831 \nL 94.928751 105.938831 \nL 99.824446 106.494759 \nL 104.59701 107.657456 \nL 109.158707 109.311964 \nL 113.446279 111.339886 \nL 117.419311 113.629213 \nL 121.057044 116.080942 \nL 124.35455 118.612481 \nL 127.318908 121.15846 \nL 129.965755 123.669702 \nL 132.31642 126.111135 \nL 134.395655 128.4593 \nL 137.846049 132.825207 \nL 140.528706 136.723509 \nL 142.640345 140.167581 \nL 148.402979 150.17701 \nL 149.718907 151.909237 \nL 151.142034 153.373295 \nL 152.732606 154.571995 \nL 154.54627 155.497794 \nL 156.636457 156.132262 \nL 159.055647 156.445348 \nL 161.855255 156.394478 \nL 165.083678 155.923766 \nL 168.781785 154.963933 \nL 172.974839 153.433991 \nL 175.257536 152.427883 \nL 177.659555 151.246439 \nL 180.1729 149.879572 \nL 182.785023 148.318724 \nL 185.477873 146.557826 \nL 188.226863 144.594477 \nL 190.999843 142.431402 \nL 193.756139 140.078109 \nL 196.445799 137.552722 \nL 199.00922 134.883855 \nL 201.377341 132.112317 \nL 203.472682 129.292364 \nL 205.211457 126.492104 \nL 206.506986 123.792601 \nL 207.274494 121.285238 \nL 207.437255 119.066991 \nL 206.93364 117.233554 \nL 205.724421 115.870739 \nL 203.799266 115.044981 \nL 201.181217 114.794565 \nL 197.927996 115.123207 \nL 194.1294 115.997757 \nL 189.900779 117.350958 \nL 185.373436 119.089099 \nL 180.683467 121.103266 \nL 171.321048 125.522358 \nL 158.725165 131.870938 \nL 148.937538 136.981992 \nL 144.004807 139.725065 \nL 140.160236 142.103709 \nL 137.194055 144.258923 \nL 134.899708 146.293157 \nL 133.092822 148.268076 \nL 131.61732 150.213447 \nL 129.751272 153.091746 \nL 126.791831 157.728473 \nL 125.453644 159.494557 \nL 123.939542 161.191324 \nL 122.195566 162.804415 \nL 120.167613 164.315867 \nL 117.799947 165.701245 \nL 115.034874 166.925727 \nL 111.814062 167.938918 \nL 108.082299 168.668173 \nL 106.010143 168.895541 \nL 103.794951 169.010381 \nL 101.434904 168.993537 \nL 98.930859 168.822825 \nL 96.287207 168.472845 \nL 93.512885 167.914922 \nL 90.622583 167.117245 \nL 87.638071 166.045298 \nL 84.589644 164.662716 \nL 81.517576 162.932675 \nL 78.473434 160.820015 \nL 75.521072 158.294167 \nL 72.736957 155.333007 \nL 70.209519 151.927582 \nL 68.03711 148.087478 \nL 66.324192 143.846352 \nL 65.175555 139.266828 \nL 64.688611 134.443664 \nL 64.944221 129.503914 \nL 65.997081 124.602885 \nL 67.867099 119.915248 \nL 70.533514 115.621508 \nL 73.933243 111.8913 \nL 77.964385 108.866031 \nL 82.494675 106.644103 \nL 87.37359 105.271611 \nL 92.44597 104.740361 \nL 97.564796 104.993222 \nL 102.601183 105.935277 \nL 107.450585 107.448035 \nL 112.035114 109.403834 \nL 116.30267 111.678104 \nL 120.223923 114.158197 \nL 123.788232 116.74852 \nL 126.999336 119.37237 \nL 129.871375 121.971397 \nL 132.42551 124.503571 \nL 134.687238 126.940464 \nL 138.445366 131.465858 \nL 141.371391 135.4906 \nL 143.677171 139.025965 \nL 149.979298 149.107755 \nL 151.417551 150.79829 \nL 152.970242 152.198793 \nL 154.700953 153.311307 \nL 156.667119 154.126624 \nL 158.92218 154.623938 \nL 161.516354 154.770435 \nL 164.49569 154.520906 \nL 167.898876 153.817948 \nL 171.751036 152.593461 \nL 176.053542 150.772862 \nL 178.36399 149.615998 \nL 180.76885 148.284021 \nL 183.253954 146.770973 \nL 185.799845 145.073652 \nL 188.380912 143.192723 \nL 190.964582 141.134001 \nL 193.510617 138.909924 \nL 195.970665 136.541063 \nL 198.288202 134.057599 \nL 200.399053 131.500534 \nL 202.232677 128.922397 \nL 203.714418 126.387096 \nL 204.768835 123.968584 \nL 205.324126 121.748011 \nL 205.31751 119.809227 \nL 204.701136 118.232655 \nL 203.447917 117.088045 \nL 201.556403 116.426933 \nL 199.053751 116.275994 \nL 195.996019 116.632705 \nL 192.465325 117.464357 \nL 188.56402 118.711059 \nL 184.406635 120.29236 \nL 180.110829 122.116415 \nL 171.539961 126.126761 \nL 159.960124 131.98772 \nL 150.885913 136.865566 \nL 146.285198 139.56276 \nL 142.694538 141.944274 \nL 139.934795 144.125099 \nL 137.825052 146.191525 \nL 136.201406 148.197006 \nL 134.924041 150.168341 \nL 133.411571 153.077783 \nL 129.909144 160.448366 \nL 128.857084 162.16832 \nL 127.645552 163.829293 \nL 126.230874 165.426688 \nL 124.566117 166.954171 \nL 122.599398 168.401654 \nL 120.272682 169.752513 \nL 117.521325 170.979688 \nL 114.274828 172.040236 \nL 110.459681 172.867831 \nL 108.31653 173.164734 \nL 106.005723 173.362714 \nL 103.520984 173.441988 \nL 100.858215 173.378988 \nL 98.016414 173.145905 \nL 94.998843 172.710303 \nL 91.814439 172.03489 \nL 88.479516 171.077521 \nL 85.019734 169.791622 \nL 81.472259 168.127205 \nL 77.888047 166.03273 \nL 74.333972 163.45807 \nL 70.894506 160.358845 \nL 67.672418 156.702303 \nL 64.787906 152.47471 \nL 62.375435 147.68992 \nL 60.577601 142.398241 \nL 59.535657 136.694111 \nL 59.376865 130.720537 \nL 60.19969 124.667884 \nL 62.058923 118.765079 \nL 64.953556 113.262272 \nL 68.820541 108.406265 \nL 73.536771 104.412351 \nL 78.929867 101.438045 \nL 84.796154 99.564616 \nL 90.922227 98.790656 \nL 97.105728 99.038785 \nL 103.171587 100.173057 \nL 108.981642 102.022212 \nL 114.437524 104.40332 \nL 119.478245 107.141443 \nL 124.074492 110.08302 \nL 128.221635 113.102682 \nL 131.932857 116.104661 \nL 135.233252 119.020533 \nL 138.155138 121.804959 \nL 143.009051 126.88449 \nL 146.789892 131.265373 \nL 152.202075 138.087606 \nL 155.226636 141.782791 \nL 157.055123 143.685107 \nL 158.87133 145.187328 \nL 160.765368 146.314058 \nL 162.807404 147.075848 \nL 165.050802 147.470771 \nL 167.533528 147.486361 \nL 170.277528 147.102085 \nL 173.285932 146.292903 \nL 176.537939 145.034521 \nL 179.981564 143.31108 \nL 183.524882 141.125983 \nL 187.027365 138.515909 \nL 190.294279 135.566865 \nL 191.763997 134.009283 \nL 193.078827 132.428649 \nL 194.202344 130.854716 \nL 195.097826 129.321133 \nL 195.729813 127.86455 \nL 196.065927 126.523253 \nL 196.078892 125.335376 \nL 195.748575 124.336741 \nL 195.063891 123.558526 \nL 194.024326 123.024943 \nL 192.640867 122.751241 \nL 190.936143 122.742317 \nL 188.943717 122.992212 \nL 186.706493 123.484539 \nL 184.274413 124.193916 \nL 181.701649 125.08822 \nL 176.354208 127.285768 \nL 171.074572 129.789092 \nL 166.184678 132.361797 \nL 161.890501 134.853408 \nL 158.288854 137.195428 \nL 155.393214 139.376315 \nL 153.16391 141.413229 \nL 151.5341 143.330767 \nL 150.428573 145.148973 \nL 149.775731 146.878682 \nL 149.514291 148.52121 \nL 149.596389 150.069928 \nL 149.988442 151.512192 \nL 150.670792 152.830812 \nL 151.636733 154.004813 \nL 152.891321 155.009474 \nL 154.450112 155.815714 \nL 156.337832 156.38893 \nL 158.586786 156.687477 \nL 161.234701 156.660952 \nL 164.321462 156.248555 \nL 167.883953 155.378083 \nL 171.947979 153.966502 \nL 176.515894 151.92366 \nL 178.978825 150.637524 \nL 181.54854 149.161619 \nL 184.2096 147.488288 \nL 186.940534 145.612998 \nL 189.712779 143.53564 \nL 192.489673 141.262108 \nL 195.22556 138.806073 \nL 197.865206 136.19087 \nL 200.343678 133.451328 \nL 202.586938 130.635308 \nL 204.513418 127.804568 \nL 206.036804 125.034558 \nL 207.070187 122.412663 \nL 207.531628 120.034484 \nL 207.350906 117.997922 \nL 206.476862 116.395253 \nL 204.88449 115.303835 \nL 202.580592 114.776667 \nL 199.606739 114.834555 \nL 196.038578 115.461635 \nL 191.981076 116.605671 \nL 187.560137 118.183559 \nL 182.911857 120.091189 \nL 178.171212 122.215848 \nL 168.889517 126.694545 \nL 153.272809 134.655377 \nL 144.950708 139.132477 \nL 140.859488 141.581827 \nL 137.698649 143.776611 \nL 135.257373 145.829951 \nL 133.344302 147.812838 \nL 131.795924 149.761628 \nL 129.868535 152.644685 \nL 126.894197 157.299314 \nL 125.571526 159.076478 \nL 124.082756 160.786301 \nL 122.373332 162.414436 \nL 120.389102 163.94328 \nL 118.074652 165.34925 \nL 115.372777 166.59905 \nL 112.225533 167.644707 \nL 108.577584 168.417162 \nL 106.550853 168.671669 \nL 104.383042 168.81835 \nL 102.071845 168.838942 \nL 99.617425 168.712256 \nL 97.023215 168.413974 \nL 94.296884 167.916556 \nL 91.451475 167.18933 \nL 88.506679 166.198825 \nL 85.490236 164.909505 \nL 82.439377 163.285006 \nL 79.402158 161.29002 \nL 76.438543 158.892958 \nL 73.620899 156.069526 \nL 71.033667 152.807132 \nL 68.771713 149.110032 \nL 66.937075 145.004789 \nL 65.633805 140.545313 \nL 64.960861 135.816532 \nL 65.00343 130.935457 \nL 65.823464 126.048396 \nL 67.450811 121.323567 \nL 69.876524 116.938973 \nL 73.049971 113.066673 \nL 76.880821 109.855647 \nL 81.246048 107.416273 \nL 86.000959 105.809458 \nL 90.992376 105.042525 \nL 96.071623 105.072477 \nL 101.105299 105.815506 \nL 105.982521 107.160307 \nL 110.618303 108.98243 \nL 114.953569 111.15709 \nL 118.952726 113.568942 \nL 122.599898 116.118176 \nL 125.894696 118.723248 \nL 128.848173 121.321014 \nL 131.479304 123.865093 \nL 133.81213 126.32336 \nL 137.691647 130.90864 \nL 140.709726 135.003571 \nL 143.079269 138.610895 \nL 146.596298 144.515506 \nL 148.723991 147.96886 \nL 150.102593 149.872355 \nL 151.545924 151.482157 \nL 153.122874 152.807949 \nL 154.894348 153.848482 \nL 156.91624 154.591308 \nL 159.241244 155.012351 \nL 161.919264 155.075381 \nL 164.996029 154.73162 \nL 168.509312 153.919976 \nL 172.481939 152.56883 \nL 176.910531 150.600885 \nL 179.283641 149.362255 \nL 181.74896 147.943334 \nL 184.290384 146.338736 \nL 186.886074 144.546239 \nL 189.507584 142.56802 \nL 192.119029 140.412056 \nL 194.676431 138.093671 \nL 197.12736 135.637122 \nL 199.411043 133.077073 \nL 201.459157 130.459716 \nL 203.197475 127.843241 \nL 204.548574 125.297311 \nL 205.435706 122.90114 \nL 205.787784 120.739939 \nL 205.54523 118.899561 \nL 204.666199 117.459622 \nL 203.132387 116.485674 \nL 200.953467 116.021531 \nL 198.169208 116.083073 \nL 194.848523 116.654961 \nL 191.085216 117.691233 \nL 186.990849 119.120084 \nL 182.685741 120.852034 \nL 173.912744 124.839924 \nL 165.578575 128.9586 \nL 154.96674 134.465555 \nL 149.396316 137.513988 \nL 144.970722 140.139567 \nL 141.531184 142.468404 \nL 138.890085 144.614953 \nL 136.864426 146.660854 \nL 135.291471 148.654373 \nL 134.033855 150.618131 \nL 132.498498 153.51852 \nL 129.714138 159.08957 \nL 128.074892 161.710915 \nL 126.78177 163.383114 \nL 125.274709 164.987488 \nL 123.504622 166.515245 \nL 121.417853 167.953086 \nL 118.955174 169.280043 \nL 116.051723 170.463152 \nL 112.638475 171.451463 \nL 108.646252 172.167971 \nL 106.413252 172.390582 \nL 104.013885 172.499145 \nL 101.444157 172.471694 \nL 98.702926 172.282362 \nL 95.792944 171.901027 \nL 92.722153 171.293097 \nL 89.505218 170.419493 \nL 86.165303 169.237008 \nL 82.736062 167.699183 \nL 79.263696 165.757905 \nL 75.808947 163.365994 \nL 72.448698 160.480978 \nL 69.276783 157.070245 \nL 66.40346 153.117566 \nL 63.952907 148.630759 \nL 62.058179 143.649753 \nL 60.853158 138.253924 \nL 60.461571 132.566883 \nL 60.983814 126.756685 \nL 62.483186 121.029552 \nL 64.973904 115.616045 \nL 68.413746 110.75022 \nL 72.70358 106.644546 \nL 77.694874 103.465035 \nL 83.204279 101.311849 \nL 89.032605 100.209755 \nL 94.984392 100.110371 \nL 100.884438 100.904961 \nL 106.588908 102.444158 \nL 111.990263 104.55974 \nL 117.016842 107.084122 \nL 121.628742 109.864896 \nL 125.811825 112.773366 \nL 129.571342 115.707801 \nL 132.926111 118.592695 \nL 135.903717 121.375596 \nL 140.860403 126.515528 \nL 144.720376 131.009774 \nL 149.037066 136.565323 \nL 153.200258 142.072898 \nL 154.982457 144.147966 \nL 156.733507 145.829361 \nL 158.548434 147.14317 \nL 160.50318 148.101495 \nL 162.65828 148.703445 \nL 165.060949 148.936369 \nL 167.745286 148.777449 \nL 170.730292 148.196082 \nL 174.015438 147.157624 \nL 177.573572 145.629411 \nL 181.341263 143.590025 \nL 185.207373 141.04271 \nL 189.001946 138.033129 \nL 190.80135 136.385864 \nL 192.48939 134.669641 \nL 194.026974 132.910747 \nL 195.372346 131.14104 \nL 196.482356 129.397654 \nL 197.314148 127.722186 \nL 197.827267 126.15932 \nL 197.986088 124.754829 \nL 197.762426 123.553026 \nL 197.138074 122.593806 \nL 196.107018 121.909598 \nL 194.67697 121.522529 \nL 192.869994 121.442266 \nL 190.721991 121.664894 \nL 188.281012 122.173083 \nL 185.604545 122.937619 \nL 182.756034 123.920137 \nL 176.803736 126.361087 \nL 170.911884 129.141731 \nL 165.460517 131.97324 \nL 160.686346 134.678239 \nL 156.692691 137.184622 \nL 153.483499 139.491118 \nL 151.001633 141.629901 \nL 149.160535 143.63963 \nL 147.866185 145.551217 \nL 147.030407 147.383153 \nL 146.577826 149.142088 \nL 146.448695 150.825536 \nL 146.599281 152.424743 \nL 147.001013 153.926951 \nL 147.639117 155.316708 \nL 148.511203 156.57637 \nL 149.626017 157.685833 \nL 151.002448 158.6217 \nL 152.668739 159.355966 \nL 154.661762 159.854271 \nL 157.026131 160.073792 \nL 159.812728 159.960852 \nL 163.076037 159.44846 \nL 166.869395 158.45428 \nL 171.236801 156.87996 \nL 173.64381 155.840653 \nL 176.199508 154.613689 \nL 178.899594 153.184428 \nL 181.735235 151.539039 \nL 184.69189 149.665477 \nL 187.747964 147.554767 \nL 190.873355 145.202654 \nL 194.027968 142.611622 \nL 197.160311 139.793301 \nL 200.206364 136.771134 \nL 203.088979 133.58315 \nL 205.718163 130.284486 \nL 207.992629 126.9492 \nL 209.803016 123.670708 \nL 211.037144 120.560074 \nL 211.587447 117.741441 \nL 211.360339 115.34403 \nL 210.28682 113.490837 \nL 208.332962 112.284853 \nL 205.508387 111.794781 \nL 201.870722 112.043066 \nL 197.52431 112.999365 \nL 192.612569 114.581728 \nL 187.304846 116.66621 \nL 181.780028 119.103232 \nL 170.74622 124.424187 \nL 144.829479 137.30608 \nL 136.946247 141.248194 \nL 133.138128 143.370589 \nL 130.173786 145.293062 \nL 127.812731 147.1201 \nL 125.851927 148.904387 \nL 122.498211 152.392266 \nL 120.01378 154.891964 \nL 118.205083 156.45996 \nL 116.193982 157.914311 \nL 113.922824 159.218936 \nL 111.342387 160.329698 \nL 108.412583 161.190949 \nL 105.105666 161.731452 \nL 103.306984 161.853881 \nL 101.412585 161.860299 \nL 99.425921 161.735769 \nL 97.353107 161.463894 \nL 95.203471 161.026938 \nL 92.990162 160.406081 \nL 90.730771 159.581843 \nL 88.447961 158.534737 \nL 86.170035 157.246182 \nL 83.93137 155.69972 \nL 81.772624 153.882567 \nL 79.740589 151.787487 \nL 77.887577 149.414926 \nL 76.270195 146.775285 \nL 74.947416 143.891139 \nL 73.9779 140.799074 \nL 73.416606 137.550815 \nL 73.310881 134.213203 \nL 73.696343 130.866682 \nL 74.59304 127.60207 \nL 76.002396 124.515619 \nL 77.905506 121.702693 \nL 80.263191 119.250755 \nL 83.017949 117.232531 \nL 86.097672 115.700407 \nL 89.420658 114.682842 \nL 92.901253 114.183376 \nL 96.455349 114.182199 \nL 100.005126 114.639937 \nL 103.48256 115.502827 \nL 106.831538 116.708472 \nL 110.008629 118.191301 \nL 112.982774 119.887162 \nL 115.734181 121.736728 \nL 118.252772 123.687665 \nL 120.536431 125.695669 \nL 122.589276 127.724605 \nL 124.420065 129.746063 \nL 126.040806 131.738499 \nL 127.465607 133.686245 \nL 129.788917 137.408201 \nL 131.514262 140.866711 \nL 132.758593 144.054185 \nL 133.623684 146.983346 \nL 134.193284 149.676398 \nL 134.533214 152.158775 \nL 134.71685 155.542123 \nL 134.601898 158.584674 \nL 134.243824 161.35045 \nL 133.65674 163.891312 \nL 132.821901 166.249196 \nL 132.105265 167.736588 \nL 131.236547 169.166358 \nL 130.188244 170.54549 \nL 128.925936 171.879165 \nL 127.407326 173.170018 \nL 125.581107 174.416834 \nL 123.385776 175.612401 \nL 120.748621 176.740151 \nL 117.585327 177.768989 \nL 113.800977 178.645536 \nL 109.293903 179.282768 \nL 106.737802 179.471416 \nL 103.964794 179.544017 \nL 100.965819 179.472252 \nL 97.735034 179.221806 \nL 94.271323 178.751567 \nL 90.580244 178.012921 \nL 86.676461 176.949318 \nL 82.58668 175.496315 \nL 78.353096 173.582442 \nL 74.037166 171.131288 \nL 69.723503 168.065345 \nL 65.523275 164.312177 \nL 61.576349 159.813416 \nL 58.051009 154.536797 \nL 55.139821 148.490838 \nL 53.050207 141.74074 \nL 51.988746 134.422764 \nL 52.139316 126.752817 \nL 53.63713 119.024352 \nL 56.542977 111.5911 \nL 60.823828 104.83328 \nL 66.346127 99.110711 \nL 72.885826 94.711807 \nL 80.154627 91.811076 \nL 87.836758 90.446619 \nL 95.627347 90.523603 \nL 103.263569 91.84144 \nL 110.543065 94.135302 \nL 117.328882 97.120192 \nL 123.543856 100.527441 \nL 129.159046 104.128439 \nL 134.180505 107.745174 \nL 138.637215 111.250385 \nL 142.571515 114.561305 \nL 149.07008 120.437095 \nL 156.131147 127.298633 \nL 163.459071 134.477456 \nL 165.536019 136.252464 \nL 167.368985 137.555437 \nL 169.064095 138.456521 \nL 170.695027 139.007708 \nL 172.308254 139.247913 \nL 173.927045 139.20764 \nL 175.554395 138.913233 \nL 177.175153 138.390777 \nL 178.757807 137.669678 \nL 180.256359 136.785725 \nL 181.612919 135.783408 \nL 182.761476 134.716962 \nL 183.633281 133.649646 \nL 184.163824 132.650789 \nL 184.30098 131.790572 \nL 184.211198 131.432906 \nL 184.013291 131.132983 \nL 183.707679 130.896574 \nL 182.784941 130.630731 \nL 181.485783 130.653361 \nL 179.881372 130.958152 \nL 178.063895 131.517016 \nL 176.136389 132.28602 \nL 173.262091 133.719154 \nL 170.672706 135.333809 \nL 168.586455 136.984876 \nL 167.541426 138.051333 \nL 166.796819 139.061216 \nL 166.360003 139.993859 \nL 166.230473 140.83043 \nL 166.402624 141.552538 \nL 166.86774 142.141378 \nL 167.615107 142.577364 \nL 168.632233 142.840181 \nL 169.904259 142.909291 \nL 171.412582 142.764823 \nL 173.132794 142.389038 \nL 175.032029 141.768406 \nL 177.065932 140.896428 \nL 179.175607 139.777234 \nL 181.285067 138.429766 \nL 183.300097 136.892095 \nL 185.109565 135.224953 \nL 186.590404 133.513022 \nL 187.617193 131.862353 \nL 187.923906 131.097124 \nL 188.076386 130.392349 \nL 188.06517 129.762775 \nL 187.883748 129.222009 \nL 187.529025 128.781915 \nL 187.001688 128.452058 \nL 186.30639 128.239238 \nL 185.451774 128.147149 \nL 184.450285 128.176229 \nL 182.073047 128.583678 \nL 179.331943 129.405696 \nL 176.406576 130.554081 \nL 173.474321 131.927858 \nL 170.690001 133.431377 \nL 168.173712 134.986064 \nL 166.00731 136.53449 \nL 164.237692 138.038327 \nL 162.883932 139.473071 \nL 161.945652 140.822198 \nL 161.410806 142.072251 \nL 161.261969 143.209487 \nL 161.480858 144.217888 \nL 162.051128 145.078239 \nL 162.959704 145.767822 \nL 164.196857 146.26047 \nL 165.755202 146.526834 \nL 167.627674 146.53495 \nL 169.804464 146.251249 \nL 172.26885 145.642333 \nL 174.991818 144.677965 \nL 177.92553 143.335758 \nL 180.995965 141.608057 \nL 184.095593 139.511078 \nL 187.077823 137.095863 \nL 189.755966 134.459078 \nL 190.913227 133.102176 \nL 191.910385 131.750053 \nL 192.717954 130.429252 \nL 193.307526 129.168523 \nL 193.653095 127.997866 \nL 193.732502 126.94725 \nL 193.528911 126.045124 \nL 193.032174 125.316781 \nL 192.239972 124.782717 \nL 191.158567 124.457199 \nL 189.803055 124.347174 \nL 188.197018 124.451708 \nL 186.371609 124.76206 \nL 184.36409 125.262422 \nL 179.970917 126.742733 \nL 175.363174 128.682723 \nL 170.859488 130.867105 \nL 166.70817 133.120989 \nL 163.070496 135.329904 \nL 160.026494 137.436008 \nL 157.59331 139.421324 \nL 155.746846 141.28891 \nL 154.440932 143.048227 \nL 153.621747 144.706405 \nL 153.237484 146.264355 \nL 153.244073 147.715908 \nL 153.608079 149.048382 \nL 154.307725 150.243489 \nL 155.332728 151.277995 \nL 156.683412 152.123895 \nL 158.369306 152.748125 \nL 160.407261 153.111877 \nL 162.818883 153.169748 \nL 165.626961 152.869076 \nL 168.850309 152.149944 \nL 172.496317 150.94671 \nL 176.550363 149.19229 \nL 180.961378 146.826866 \nL 183.270355 145.401923 \nL 185.623414 143.813204 \nL 187.995264 142.063478 \nL 190.354586 140.160378 \nL 192.663572 138.11757 \nL 194.877709 135.955926 \nL 196.945943 133.704584 \nL 198.81136 131.401743 \nL 200.412508 129.094928 \nL 201.685495 126.840568 \nL 202.566928 124.702549 \nL 202.997657 122.749605 \nL 202.927149 121.051485 \nL 202.318143 119.673984 \nL 201.151099 118.673275 \nL 199.427773 118.090211 \nL 197.173242 117.945451 \nL 194.435879 118.236434 \nL 191.284957 118.936846 \nL 187.806084 119.999 \nL 184.094976 121.358832 \nL 180.250489 122.942732 \nL 172.533103 126.484602 \nL 165.283013 130.105098 \nL 158.898045 133.477728 \nL 153.547648 136.479526 \nL 149.232201 139.127195 \nL 145.852593 141.50057 \nL 143.26542 143.68828 \nL 141.318469 145.761102 \nL 139.870117 147.764976 \nL 138.797986 149.723999 \nL 138.001227 151.646804 \nL 137.151308 154.460453 \nL 136.369664 158.051115 \nL 135.195104 163.790063 \nL 134.33176 166.746631 \nL 133.479773 168.825322 \nL 132.373566 170.801812 \nL 131.451269 172.070907 \nL 130.343285 173.306505 \nL 129.009826 174.512003 \nL 127.402999 175.68859 \nL 125.465285 176.833566 \nL 123.128021 177.937733 \nL 120.310173 178.981346 \nL 116.917862 179.92793 \nL 112.845678 180.71495 \nL 107.981495 181.240138 \nL 105.218134 181.35709 \nL 102.217909 181.342156 \nL 98.971886 181.161755 \nL 95.475281 180.775165 \nL 91.72937 180.1336 \nL 87.743935 179.179473 \nL 83.540289 177.846048 \nL 79.154936 176.057809 \nL 74.643742 173.731976 \nL 70.08645 170.781759 \nL 65.591023 167.122003 \nL 61.297028 162.677935 \nL 57.376904 157.39748 \nL 54.033455 151.267131 \nL 51.491832 144.33026 \nL 49.984373 136.705277 \nL 49.727851 128.59923 \nL 50.89451 120.310841 \nL 53.581174 112.217127 \nL 57.783266 104.740096 \nL 63.381829 98.295558 \nL 70.149613 93.233035 \nL 77.777476 89.781489 \nL 85.915569 88.016055 \nL 94.218949 87.855322 \nL 102.386282 89.088619 \nL 110.183918 91.423265 \nL 117.453416 94.537173 \nL 124.105719 98.123711 \nL 130.107642 101.921448 \nL 135.466086 105.727671 \nL 140.213676 109.398984 \nL 148.071115 116.012087 \nL 154.106224 121.456215 \nL 166.250024 132.665896 \nL 169.141288 134.945408 \nL 170.710642 135.932829 \nL 172.101535 136.584937 \nL 173.373392 136.959034 \nL 174.562319 137.100298 \nL 175.685594 137.046104 \nL 176.745342 136.829495 \nL 178.191701 136.268624 \nL 179.402201 135.520736 \nL 180.28458 134.701044 \nL 180.747065 133.930045 \nL 180.787727 133.500622 \nL 180.603037 133.173866 \nL 180.196388 132.972619 \nL 179.583872 132.911294 \nL 178.344024 133.089948 \nL 176.843646 133.570773 \nL 175.247658 134.29526 \nL 173.722354 135.183945 \nL 172.412582 136.152049 \nL 171.428428 137.119971 \nL 170.841644 138.017496 \nL 170.690604 138.546254 \nL 170.736529 139.000214 \nL 170.977914 139.36437 \nL 171.408857 139.624889 \nL 172.019341 139.769229 \nL 173.239513 139.744746 \nL 174.763493 139.408803 \nL 176.496998 138.753882 \nL 178.314229 137.800067 \nL 180.056505 136.604426 \nL 181.538326 135.26746 \nL 182.284966 134.366516 \nL 182.775156 133.515253 \nL 182.96456 132.765422 \nL 182.823832 132.165829 \nL 182.343387 131.757031 \nL 181.536384 131.566537 \nL 180.439033 131.605594 \nL 179.107891 131.868379 \nL 176.831655 132.632638 \nL 174.459104 133.736016 \nL 172.243932 135.04342 \nL 170.388628 136.428133 \nL 169.029457 137.785555 \nL 168.437832 138.63375 \nL 168.110357 139.412088 \nL 168.049427 140.101696 \nL 168.2521 140.684584 \nL 168.711462 141.143096 \nL 169.417367 141.459736 \nL 170.356525 141.617379 \nL 171.511982 141.599838 \nL 172.862005 141.392844 \nL 174.378522 140.985466 \nL 176.025241 140.372031 \nL 177.755711 139.55449 \nL 179.511676 138.545153 \nL 181.222259 137.369531 \nL 182.8046 136.068704 \nL 184.166695 134.70052 \nL 185.212974 133.33859 \nL 185.852857 132.068272 \nL 186.011699 130.979069 \nL 185.894676 130.528928 \nL 185.642553 130.154073 \nL 185.255461 129.861937 \nL 184.736299 129.658135 \nL 184.090771 129.546248 \nL 182.456755 129.601598 \nL 180.44868 130.01343 \nL 178.189545 130.737388 \nL 175.814634 131.709218 \nL 173.455748 132.85687 \nL 171.228481 134.111273 \nL 169.22456 135.413364 \nL 167.509419 136.716723 \nL 166.123995 137.986746 \nL 165.089045 139.197788 \nL 164.410461 140.329759 \nL 164.084399 141.36509 \nL 164.101552 142.286482 \nL 164.45027 143.075502 \nL 165.11847 143.711851 \nL 166.094406 144.173176 \nL 167.366385 144.435275 \nL 168.921518 144.472696 \nL 170.743558 144.259805 \nL 172.809856 143.772488 \nL 175.087496 142.990756 \nL 177.528781 141.902436 \nL 180.066459 140.508195 \nL 182.609402 138.827728 \nL 185.039993 136.906595 \nL 187.214968 134.822247 \nL 188.971729 132.687061 \nL 189.640378 131.644494 \nL 190.142 130.645285 \nL 190.458191 129.710481 \nL 190.573209 128.861071 \nL 190.474869 128.117088 \nL 190.155389 127.496652 \nL 189.612081 127.015011 \nL 188.847857 126.683656 \nL 187.871434 126.509656 \nL 186.697243 126.49521 \nL 185.344998 126.637554 \nL 183.838933 126.929219 \nL 180.478711 127.910731 \nL 176.859007 129.313434 \nL 173.220214 130.991893 \nL 169.76863 132.811848 \nL 166.658068 134.669218 \nL 163.985966 136.495234 \nL 161.800167 138.251229 \nL 160.11105 139.918744 \nL 158.904615 141.489608 \nL 158.153913 142.95845 \nL 157.827758 144.318103 \nL 157.896659 145.557352 \nL 158.336388 146.660165 \nL 159.129691 147.605633 \nL 160.266621 148.368136 \nL 161.743793 148.917463 \nL 163.562737 149.2189 \nL 165.727301 149.233333 \nL 168.239979 148.917764 \nL 171.096853 148.226634 \nL 174.280819 147.114653 \nL 177.75282 145.541954 \nL 181.441099 143.482608 \nL 185.229204 140.937259 \nL 188.944747 137.949953 \nL 190.704328 136.320935 \nL 192.352797 134.627293 \nL 193.851673 132.894851 \nL 195.16003 131.154832 \nL 196.235738 129.443516 \nL 197.037124 127.801436 \nL 197.525017 126.272 \nL 197.665092 124.899531 \nL 197.430375 123.726807 \nL 196.803671 122.792213 \nL 195.779653 122.126813 \nL 194.366303 121.751677 \nL 192.58546 121.675847 \nL 190.472296 121.895291 \nL 188.073668 122.393117 \nL 185.445492 123.141056 \nL 182.649406 124.102039 \nL 176.806895 126.49136 \nL 171.020504 129.218882 \nL 165.661285 132.004276 \nL 160.962233 134.673595 \nL 157.027131 137.154088 \nL 153.862824 139.441785 \nL 151.416019 141.565751 \nL 149.604004 143.562053 \nL 148.336185 145.459755 \nL 147.527257 147.276131 \nL 147.104211 149.017046 \nL 147.009256 150.679398 \nL 147.200342 152.253846 \nL 147.650409 153.726913 \nL 148.346119 155.082229 \nL 149.286504 156.300933 \nL 150.481744 157.361348 \nL 151.952149 158.238076 \nL 153.727285 158.900601 \nL 155.84508 159.311489 \nL 158.350616 159.424246 \nL 161.294131 159.180994 \nL 164.72755 158.510269 \nL 168.698488 157.3256 \nL 173.240298 155.526097 \nL 175.728069 154.36136 \nL 178.356275 153.001272 \nL 181.11676 151.432572 \nL 183.99602 149.643621 \nL 186.973965 147.625583 \nL 190.022558 145.373941 \nL 193.104413 142.890368 \nL 196.171474 140.184935 \nL 199.163908 137.278578 \nL 202.009499 134.205683 \nL 204.623777 131.016506 \nL 206.911324 127.778941 \nL 208.768547 124.579164 \nL 210.088318 121.52036 \nL 210.766607 118.71891 \nL 210.710995 116.297502 \nL 209.850436 114.375096 \nL 208.145194 113.054451 \nL 205.595255 112.408801 \nL 202.245388 112.470069 \nL 198.18517 113.221544 \nL 193.543198 114.597244 \nL 188.4759 116.48908 \nL 183.152783 118.760665 \nL 172.390868 123.861958 \nL 140.860742 139.631542 \nL 136.45737 141.993529 \nL 133.049231 144.066231 \nL 130.384995 145.987853 \nL 128.243929 147.839626 \nL 125.618563 150.560535 \nL 120.863841 155.772644 \nL 119.08102 157.37521 \nL 117.081893 158.866693 \nL 114.809352 160.213353 \nL 112.21272 161.373198 \nL 109.248496 162.292179 \nL 105.883603 162.899639 \nL 104.044925 163.058731 \nL 102.101829 163.10348 \nL 100.056646 163.018336 \nL 97.914333 162.786019 \nL 95.683072 162.387571 \nL 93.374935 161.802571 \nL 91.006611 161.009481 \nL 88.600147 159.98626 \nL 86.183664 158.711257 \nL 83.791963 157.164433 \nL 81.466917 155.328989 \nL 79.257536 153.193387 \nL 77.219516 150.75373 \nL 75.41415 148.0164 \nL 73.906443 145.00074 \nL 72.762307 141.741478 \nL 72.04489 138.290429 \nL 71.810188 134.717023 \nL 72.102224 131.107179 \nL 72.948385 127.560105 \nL 74.355512 124.183047 \nL 76.307464 121.08415 \nL 78.764675 118.364268 \nL 81.666019 116.108711 \nL 84.932857 114.380236 \nL 88.474773 113.214336 \nL 92.19617 112.617623 \nL 96.002809 112.569388 \nL 99.807465 113.025869 \nL 103.534127 113.926404 \nL 107.120492 115.200242 \nL 110.518849 116.77308 \nL 113.695626 118.572496 \nL 116.630045 120.531974 \nL 119.312231 122.593346 \nL 121.741144 124.70791 \nL 123.922557 126.83648 \nL 125.86723 128.948717 \nL 127.589343 131.022064 \nL 129.105213 133.040518 \nL 131.588316 136.874137 \nL 133.456805 140.408332 \nL 134.841517 143.641044 \nL 135.856084 146.590222 \nL 136.594525 149.282285 \nL 137.344032 152.900253 \nL 137.945313 157.075026 \nL 139.263143 167.697811 \nL 139.836332 169.888677 \nL 140.418317 171.317684 \nL 141.183615 172.56007 \nL 141.826487 173.278972 \nL 142.602906 173.903124 \nL 143.542114 174.422923 \nL 144.679699 174.824777 \nL 146.058899 175.089817 \nL 147.732069 175.192129 \nL 149.762247 175.096338 \nL 152.224647 174.754343 \nL 155.207769 174.100983 \nL 158.813458 173.048469 \nL 163.15474 171.479642 \nL 168.349356 169.240683 \nL 174.505494 166.135247 \nL 177.968938 164.184405 \nL 181.694219 161.924656 \nL 185.676455 159.322079 \nL 189.900754 156.343666 \nL 194.338893 152.959964 \nL 198.945401 149.14887 \nL 203.653131 144.900802 \nL 208.368583 140.225437 \nL 212.967503 135.159963 \nL 217.291528 129.778478 \nL 221.147175 124.201481 \nL 224.3088 118.603653 \nL 226.527515 113.216934 \nL 227.547957 108.325084 \nL 227.133931 104.245557 \nL 225.10189 101.295854 \nL 221.358057 99.745391 \nL 215.930934 99.760029 \nL 208.988527 101.35369 \nL 200.830601 104.365112 \nL 191.852819 108.473556 \nL 182.489817 113.254258 \nL 155.813228 127.451599 \nL 148.188716 131.181255 \nL 141.361926 134.218034 \nL 135.326111 136.585264 \nL 130.036303 138.3556 \nL 125.427666 139.623666 \nL 121.428177 140.486992 \nL 117.966385 141.034957 \nL 114.975585 141.343775 \nL 110.173574 141.478468 \nL 106.624366 141.239343 \nL 104.029083 140.827437 \nL 102.166165 140.354867 \nL 100.395941 139.663041 \nL 99.513845 139.088623 \nL 99.243771 138.693471 \nL 99.300268 138.546945 \nL 99.615035 138.512951 \nL 100.08125 138.69679 \nL 100.739564 139.236795 \nL 101.248943 140.01957 \nL 101.445892 140.68835 \nL 101.444551 141.361889 \nL 101.2314 141.982487 \nL 100.811817 142.496545 \nL 100.20883 142.856925 \nL 99.462071 143.025223 \nL 98.626629 142.974612 \nL 97.77112 142.693356 \nL 96.97408 142.188851 \nL 96.317901 141.491288 \nL 95.880016 140.655443 \nL 95.721996 139.758825 \nL 95.878505 138.894866 \nL 96.158849 138.385479 \nL 96.569788 137.961079 \nL 97.094331 137.644494 \nL 97.709221 137.452815 \nL 98.738909 137.419869 \nL 99.803795 137.693011 \nL 100.799367 138.241908 \nL 101.633098 139.009892 \nL 102.232274 139.923994 \nL 102.547427 140.904293 \nL 102.552496 141.870888 \nL 102.243387 142.748135 \nL 101.870024 143.248851 \nL 101.373568 143.660299 \nL 100.767592 143.965551 \nL 99.692754 144.192361 \nL 98.488312 144.108164 \nL 97.250946 143.692106 \nL 96.463539 143.231471 \nL 95.748636 142.634327 \nL 95.143285 141.917837 \nL 94.682747 141.107297 \nL 94.397872 140.235956 \nL 94.31233 139.343921 \nL 94.440018 138.476051 \nL 94.783042 137.678931 \nL 95.33071 136.997201 \nL 96.059776 136.469756 \nL 96.935996 136.126388 \nL 97.916791 135.985432 \nL 98.954653 136.052736 \nL 100.000711 136.322067 \nL 101.008016 136.776663 \nL 101.934172 137.391636 \nL 102.743062 138.136599 \nL 103.405744 138.978203 \nL 103.900571 139.882251 \nL 104.212812 140.815215 \nL 104.333963 141.745162 \nL 104.260985 142.642198 \nL 103.99564 143.478495 \nL 103.544026 144.228142 \nL 102.916397 144.866867 \nL 102.127267 145.371853 \nL 101.195781 145.721719 \nL 100.146291 145.896794 \nL 99.009003 145.879807 \nL 97.820533 145.657043 \nL 96.624167 145.220003 \nL 95.469518 144.567527 \nL 94.411327 143.708192 \nL 93.50717 142.662696 \nL 92.813916 141.465652 \nL 92.383057 140.166231 \nL 92.255372 138.826969 \nL 92.455617 137.520364 \nL 92.988262 136.323202 \nL 93.83528 135.309314 \nL 94.956666 134.541875 \nL 96.293807 134.066754 \nL 97.775181 133.908303 \nL 99.323279 134.06829 \nL 100.86151 134.527944 \nL 102.319928 135.252316 \nL 103.639149 136.195773 \nL 104.772239 137.307426 \nL 105.684873 138.535637 \nL 106.354233 139.831186 \nL 106.767196 141.149042 \nL 106.918319 142.448952 \nL 106.808003 143.695153 \nL 106.441055 144.855566 \nL 105.825821 145.900699 \nL 104.973923 146.802551 \nL 103.90061 147.533662 \nL 102.625689 148.06644 \nL 101.174958 148.372998 \nL 99.581998 148.425653 \nL 97.89012 148.198266 \nL 96.154099 147.668685 \nL 94.441253 146.822368 \nL 92.831167 145.657144 \nL 91.4134 144.188765 \nL 90.282493 142.456338 \nL 89.853627 141.510748 \nL 89.530051 140.526283 \nL 89.321035 139.515629 \nL 89.234283 138.492999 \nL 89.275571 137.473863 \nL 89.448444 136.474596 \nL 89.753958 135.512027 \nL 90.190514 134.602924 \nL 90.753802 133.763458 \nL 91.436838 133.008645 \nL 92.230144 132.351829 \nL 93.121999 131.804223 \nL 94.098823 131.374552 \nL 95.145598 131.068819 \nL 96.246354 130.890207 \nL 97.384652 130.839098 \nL 98.544067 130.91324 \nL 99.708622 131.108009 \nL 101.993637 131.831178 \nL 104.133149 132.938246 \nL 106.043796 134.3456 \nL 107.666637 135.967569 \nL 108.964964 137.724386 \nL 109.920123 139.546529 \nL 110.526674 141.376066 \nL 110.787823 143.1659 \nL 110.711654 144.87778 \nL 110.308418 146.479799 \nL 109.588936 147.943775 \nL 108.564047 149.242762 \nL 107.245084 150.348855 \nL 105.645295 151.231311 \nL 103.782194 151.855169 \nL 101.680821 152.180542 \nL 99.377815 152.162911 \nL 96.926101 151.754955 \nL 94.399665 150.91049 \nL 93.13832 150.312055 \nL 91.897519 149.591271 \nL 90.693827 148.74624 \nL 89.545374 147.776972 \nL 88.471632 146.685846 \nL 87.493093 145.478067 \nL 86.630799 144.162069 \nL 85.905771 142.749883 \nL 85.338291 141.25735 \nL 84.947097 139.704187 \nL 84.748514 138.113826 \nL 84.755568 136.513003 \nL 84.977155 134.931083 \nL 85.417349 133.399111 \nL 86.074878 131.948639 \nL 86.942884 130.61042 \nL 88.008977 129.413003 \nL 89.255591 128.381434 \nL 90.660658 127.536097 \nL 92.198518 126.891856 \nL 93.841008 126.457533 \nL 95.558635 126.235817 \nL 97.32174 126.223515 \nL 99.101567 126.41217 \nL 100.871175 126.788917 \nL 102.606139 127.337484 \nL 104.285033 128.039273 \nL 105.889693 128.874375 \nL 107.405286 129.822507 \nL 108.820214 130.863777 \nL 110.125893 131.979285 \nL 111.316453 133.151548 \nL 113.340149 135.604927 \nL 114.884751 138.119126 \nL 115.963979 140.616913 \nL 116.60205 143.04434 \nL 116.826259 145.365082 \nL 116.661918 147.554835 \nL 116.129316 149.596369 \nL 115.242289 151.475348 \nL 114.008072 153.176825 \nL 112.42819 154.68216 \nL 110.500327 155.966188 \nL 108.221249 156.994495 \nL 105.590997 157.720797 \nL 104.146481 157.952422 \nL 102.618699 158.084701 \nL 101.011485 158.107654 \nL 99.330329 158.010351 \nL 97.582741 157.781009 \nL 95.778631 157.407149 \nL 93.930708 156.875877 \nL 92.054881 156.174262 \nL 90.170611 155.289862 \nL 88.301199 154.21142 \nL 86.473967 152.929735 \nL 84.720254 151.438691 \nL 83.075182 149.736464 \nL 81.577097 147.826814 \nL 80.266675 145.720406 \nL 79.185603 143.436032 \nL 78.374848 141.001564 \nL 77.872566 138.454438 \nL 77.711749 135.841502 \nL 77.917773 133.218033 \nL 78.506125 130.645833 \nL 79.480527 128.190415 \nL 80.831782 125.917469 \nL 82.537517 123.888844 \nL 84.562963 122.158556 \nL 86.862737 120.769248 \nL 89.383449 119.749591 \nL 92.066855 119.112921 \nL 94.853181 118.857279 \nL 97.68427 118.966732 \nL 100.506251 119.413766 \nL 103.271512 120.162278 \nL 105.939962 121.170845 \nL 108.479549 122.395768 \nL 110.866185 123.793761 \nL 113.083209 125.323952 \nL 115.120559 126.949316 \nL 116.973778 128.637452 \nL 118.642977 130.360895 \nL 120.131834 132.09703 \nL 121.446682 133.827755 \nL 122.595699 135.539 \nL 124.434268 138.863602 \nL 125.727129 142.018051 \nL 126.551632 144.98076 \nL 126.975421 147.749158 \nL 127.052777 150.331154 \nL 126.823374 152.739509 \nL 126.312447 154.988203 \nL 125.531629 157.090091 \nL 124.480035 159.055265 \nL 123.145336 160.889676 \nL 121.50477 162.593698 \nL 119.526125 164.160311 \nL 117.16897 165.572596 \nL 114.386467 166.800226 \nL 111.12843 167.794636 \nL 109.305721 168.182682 \nL 107.346604 168.482644 \nL 105.246798 168.68023 \nL 103.003533 168.758571 \nL 100.616164 168.697948 \nL 98.086918 168.475575 \nL 95.421799 168.065457 \nL 92.631655 167.438407 \nL 89.733403 166.562268 \nL 86.751377 165.402485 \nL 83.718751 163.923112 \nL 80.678941 162.088404 \nL 77.686799 159.865154 \nL 74.809378 157.225871 \nL 72.125972 154.152817 \nL 69.727065 150.642876 \nL 67.711778 146.712881 \nL 66.183541 142.404903 \nL 65.243806 137.790567 \nL 64.984002 132.973313 \nL 65.476331 128.087313 \nL 66.764553 123.292075 \nL 68.856257 118.762269 \nL 71.718272 114.673417 \nL 75.27657 111.18513 \nL 79.421194 108.42468 \nL 84.015738 106.47399 \nL 88.909791 105.362604 \nL 93.952171 105.067915 \nL 99.002741 105.522231 \nL 103.941156 106.624736 \nL 108.671818 108.255601 \nL 113.125204 110.2896 \nL 117.256362 112.607178 \nL 121.041614 115.102049 \nL 124.474476 117.685269 \nL 127.561503 120.286345 \nL 130.318556 122.852262 \nL 132.767673 125.34529 \nL 134.934606 127.740281 \nL 138.53283 132.182304 \nL 141.334618 136.132308 \nL 144.487 141.175283 \nL 148.285155 147.579199 \nL 149.649866 149.554312 \nL 151.061859 151.233862 \nL 152.591989 152.629979 \nL 154.302441 153.743993 \nL 156.249937 154.566178 \nL 158.487865 155.075342 \nL 161.067077 155.238283 \nL 164.03503 155.009269 \nL 167.43273 154.329979 \nL 171.288702 153.130678 \nL 175.608967 151.333973 \nL 177.935341 150.187238 \nL 180.361944 148.863191 \nL 182.875521 147.354954 \nL 185.457541 145.658218 \nL 188.083306 143.772385 \nL 190.721052 141.701871 \nL 193.331186 139.45761 \nL 195.865705 137.05866 \nL 198.268018 134.533796 \nL 200.473309 131.922888 \nL 202.409686 129.277812 \nL 204.000284 126.66255 \nL 205.166515 124.152096 \nL 205.832496 121.829824 \nL 205.930548 119.783087 \nL 205.407386 118.097037 \nL 204.23038 116.847093 \nL 202.392983 116.090887 \nL 199.918332 115.860906 \nL 196.860096 116.159328 \nL 193.300015 116.95633 \nL 189.34217 118.192617 \nL 185.104706 119.785978 \nL 180.710278 121.640797 \nL 171.909405 125.748 \nL 159.978379 131.766968 \nL 150.615799 136.749294 \nL 145.867098 139.481383 \nL 142.158604 141.878216 \nL 139.30366 144.062873 \nL 137.113716 146.127849 \nL 135.417997 148.130535 \nL 134.070791 150.099822 \nL 132.446985 153.00915 \nL 129.063792 159.505906 \nL 127.930396 161.252939 \nL 126.633142 162.938662 \nL 125.125117 164.555864 \nL 123.356956 166.095182 \nL 121.275143 167.542828 \nL 118.820967 168.877457 \nL 115.930465 170.06587 \nL 112.535899 171.057104 \nL 108.569767 171.774522 \nL 106.353212 171.99711 \nL 103.97292 172.105592 \nL 101.425181 172.078295 \nL 98.709121 171.889739 \nL 95.827734 171.510316 \nL 92.789139 170.906085 \nL 89.608077 170.038789 \nL 86.307645 168.86622 \nL 82.921209 167.343099 \nL 79.494387 165.422663 \nL 76.08697 163.059211 \nL 72.774417 160.211779 \nL 69.648616 156.849138 \nL 66.817309 152.956118 \nL 64.401645 148.540963 \nL 62.531252 143.643108 \nL 61.336459 138.340154 \nL 60.937725 132.752444 \nL 61.432946 127.043247 \nL 62.884213 121.412701 \nL 65.3063 116.084593 \nL 68.659465 111.286479 \nL 72.84887 107.225617 \nL 77.731543 104.065059 \nL 83.130213 101.904838 \nL 88.851417 100.772432 \nL 94.704343 100.624401 \nL 100.516941 101.358269 \nL 106.146929 102.831128 \nL 111.486929 104.880527 \nL 116.464405 107.343387 \nL 121.037951 110.070314 \nL 125.191646 112.934237 \nL 128.92894 115.833906 \nL 132.266984 118.69349 \nL 135.231912 121.459741 \nL 137.855161 124.098002 \nL 142.213453 128.920308 \nL 145.615136 133.1075 \nL 149.468165 138.272717 \nL 153.326013 143.396079 \nL 155.050827 145.323512 \nL 156.790676 146.877055 \nL 158.631414 148.075902 \nL 160.642413 148.925806 \nL 162.879655 149.419982 \nL 165.387167 149.540194 \nL 168.196474 149.258314 \nL 171.32377 148.538801 \nL 174.764431 147.3428 \nL 178.484701 145.634898 \nL 182.410654 143.393673 \nL 186.415413 140.626983 \nL 188.390187 139.061924 \nL 190.307184 137.392038 \nL 192.131228 135.635881 \nL 193.822946 133.817754 \nL 195.339435 131.968 \nL 196.635354 130.122986 \nL 197.664484 128.324569 \nL 198.381771 126.618953 \nL 198.745795 125.054903 \nL 198.721563 123.681254 \nL 198.283376 122.54386 \nL 197.417527 121.682207 \nL 196.124434 121.12609 \nL 194.419908 120.892726 \nL 192.335245 120.984892 \nL 189.916004 121.390337 \nL 187.219532 122.082804 \nL 184.311445 123.024445 \nL 181.261533 124.169452 \nL 175.011366 126.871443 \nL 168.963297 129.816549 \nL 163.475778 132.728095 \nL 158.750185 135.456327 \nL 154.85368 137.957358 \nL 151.760572 140.250543 \nL 149.392723 142.379602 \nL 147.65035 144.387784 \nL 146.432071 146.306588 \nL 145.646251 148.153422 \nL 145.216375 149.933667 \nL 145.082714 151.644101 \nL 145.201947 153.276034 \nL 145.545808 154.817601 \nL 146.099454 156.255036 \nL 146.859913 157.573121 \nL 147.834831 158.754948 \nL 149.041548 159.78112 \nL 150.5065 160.62855 \nL 152.264837 161.268847 \nL 154.360071 161.666315 \nL 156.843482 161.775567 \nL 159.772837 161.538809 \nL 163.209725 160.883011 \nL 167.214469 159.717475 \nL 171.837063 157.932933 \nL 174.389284 156.769863 \nL 177.101991 155.404317 \nL 179.970346 153.819839 \nL 182.984317 152.000921 \nL 186.127301 149.93414 \nL 189.374543 147.609698 \nL 192.691433 145.023403 \nL 196.031762 142.179104 \nL 199.336092 139.091574 \nL 202.530483 135.789726 \nL 205.525905 132.319885 \nL 208.218796 128.748704 \nL 210.493194 125.16508 \nL 212.225043 121.680213 \nL 213.288989 118.424826 \nL 213.567812 115.542652 \nL 212.964082 113.17965 \nL 211.412888 111.469309 \nL 208.893788 110.515526 \nL 205.439414 110.375924 \nL 201.138314 111.049523 \nL 196.130213 112.472424 \nL 190.593694 114.523885 \nL 184.728175 117.042241 \nL 178.73372 119.847383 \nL 167.05661 125.643521 \nL 152.026805 133.123753 \nL 140.89849 138.37136 \nL 133.202346 141.990764 \nL 129.492352 143.923574 \nL 126.58181 145.678915 \nL 124.224244 147.352457 \nL 121.291423 149.792041 \nL 116.818561 153.634018 \nL 114.877816 155.020212 \nL 112.742647 156.266721 \nL 110.361669 157.328963 \nL 107.69692 158.153819 \nL 104.725542 158.677056 \nL 103.122861 158.801826 \nL 101.444103 158.820849 \nL 99.693056 158.722047 \nL 97.87578 158.492473 \nL 96.000991 158.118435 \nL 94.080453 157.585753 \nL 92.129399 156.88012 \nL 90.16691 155.987625 \nL 88.21624 154.895453 \nL 86.305041 153.592783 \nL 84.465396 152.071864 \nL 82.733617 150.329309 \nL 81.14973 148.367495 \nL 79.756551 146.196018 \nL 78.598338 143.833093 \nL 77.718959 141.306653 \nL 77.15966 138.655018 \nL 76.956498 135.926851 \nL 77.137659 133.180214 \nL 77.720893 130.480619 \nL 78.7114 127.898029 \nL 80.100448 125.503011 \nL 81.865015 123.362337 \nL 83.96856 121.534535 \nL 86.362931 120.06591 \nL 88.991207 118.987629 \nL 91.79117 118.314149 \nL 94.698965 118.043229 \nL 97.652564 118.157395 \nL 100.594687 118.626601 \nL 103.474967 119.411592 \nL 106.251261 120.467487 \nL 108.890178 121.747189 \nL 111.366946 123.20429 \nL 113.664767 124.795244 \nL 115.77387 126.480859 \nL 117.690411 128.227111 \nL 119.415331 130.005394 \nL 120.953264 131.792374 \nL 122.311558 133.56958 \nL 123.499421 135.322829 \nL 125.405844 138.718489 \nL 126.759493 141.928562 \nL 127.644053 144.93432 \nL 128.132467 147.736194 \nL 128.283433 150.344945 \nL 128.140396 152.77598 \nL 127.731927 155.045813 \nL 127.072752 157.16991 \nL 126.164946 159.161258 \nL 124.99905 161.029303 \nL 123.554996 162.778896 \nL 121.802865 164.408946 \nL 119.703634 165.910534 \nL 117.210169 167.264143 \nL 114.26895 168.435689 \nL 110.823236 169.370988 \nL 108.893921 169.725836 \nL 106.818825 169.988366 \nL 104.593199 170.142562 \nL 102.21403 170.169473 \nL 99.680754 170.046901 \nL 96.99612 169.74914 \nL 94.16725 169.246825 \nL 91.20688 168.506952 \nL 88.134796 167.493186 \nL 84.979403 166.166563 \nL 81.779391 164.486754 \nL 78.585304 162.414069 \nL 75.460869 159.912343 \nL 72.483721 156.952859 \nL 69.745188 153.519317 \nL 67.348639 149.613698 \nL 65.405978 145.262578 \nL 64.031893 140.523091 \nL 63.335848 135.487369 \nL 63.412123 130.283994 \nL 64.328927 125.074987 \nL 66.118146 120.047292 \nL 68.767695 115.398656 \nL 72.218381 111.31927 \nL 76.366595 107.971813 \nL 81.072882 105.473673 \nL 86.175117 103.884934 \nL 91.503901 103.204619 \nL 96.89735 103.375633 \nL 102.212908 104.296815 \nL 107.334799 105.83898 \nL 112.176934 107.861554 \nL 116.682027 110.22686 \nL 120.818186 112.810471 \nL 124.574235 115.507191 \nL 127.954786 118.233188 \nL 130.975731 120.925305 \nL 133.660455 123.538685 \nL 136.036861 126.043578 \nL 139.98613 130.66497 \nL 143.066799 134.736921 \nL 146.546973 139.864777 \nL 150.009783 145.128932 \nL 151.551238 147.190221 \nL 153.106671 148.914353 \nL 154.75847 150.318986 \nL 156.576135 151.409625 \nL 158.619799 152.179679 \nL 160.942446 152.610584 \nL 163.590546 152.671906 \nL 166.602729 152.321854 \nL 170.006035 151.508568 \nL 173.809058 150.17324 \nL 177.991338 148.256306 \nL 180.206793 147.06354 \nL 182.488514 145.708651 \nL 184.818518 144.190123 \nL 187.173613 142.509837 \nL 189.524794 140.674105 \nL 191.836747 138.694808 \nL 194.067583 136.590554 \nL 196.168879 134.387755 \nL 198.086194 132.121512 \nL 199.760177 129.836035 \nL 201.128399 127.584459 \nL 202.127996 125.42773 \nL 202.699094 123.432424 \nL 202.788952 121.667331 \nL 202.356473 120.198932 \nL 201.376677 119.086007 \nL 199.844509 118.374003 \nL 197.777375 118.089942 \nL 195.215758 118.238821 \nL 192.22164 118.802249 \nL 188.87466 119.73989 \nL 185.266481 120.993549 \nL 181.494118 122.493368 \nL 173.831861 125.936656 \nL 166.539376 129.537486 \nL 160.050144 132.938863 \nL 154.567793 135.987758 \nL 150.117913 138.680978 \nL 146.616664 141.089474 \nL 143.928129 143.300468 \nL 141.902533 145.386923 \nL 140.397864 147.397914 \nL 139.290032 149.360297 \nL 138.476093 151.284605 \nL 137.630999 154.099196 \nL 136.906574 157.689666 \nL 135.521298 165.639958 \nL 134.746849 168.404745 \nL 133.968947 170.346266 \nL 132.950826 172.193637 \nL 132.098079 173.382035 \nL 131.070461 174.542023 \nL 129.830144 175.677981 \nL 128.331304 176.792569 \nL 126.518558 177.885318 \nL 124.325311 178.950392 \nL 121.672222 179.973069 \nL 118.466172 180.924264 \nL 114.600555 181.752152 \nL 109.958355 182.369597 \nL 107.308547 182.558173 \nL 104.420692 182.63593 \nL 101.282653 182.572798 \nL 97.88536 182.33186 \nL 94.224467 181.868264 \nL 90.30253 181.128223 \nL 86.131785 180.048222 \nL 81.73761 178.554725 \nL 77.162653 176.56474 \nL 72.471555 173.98779 \nL 67.755938 170.729969 \nL 63.139095 166.700847 \nL 58.779341 161.824056 \nL 54.870591 156.051951 \nL 51.638223 149.384134 \nL 49.328198 141.888192 \nL 48.187798 133.719107 \nL 48.438009 125.131674 \nL 50.240011 116.478859 \nL 53.661702 108.189784 \nL 58.652922 100.725078 \nL 65.038232 94.514583 \nL 72.53261 89.890559 \nL 80.778591 87.034374 \nL 89.395829 85.952452 \nL 98.030028 86.488226 \nL 106.389438 88.364358 \nL 114.262854 91.240513 \nL 121.519941 94.769793 \nL 128.099385 98.641363 \nL 133.991651 102.60444 \nL 139.221717 106.47521 \nL 143.834796 110.131922 \nL 151.433263 116.55814 \nL 163.473556 127.304048 \nL 168.743134 131.852172 \nL 171.321903 133.815797 \nL 173.209833 134.971715 \nL 174.662607 135.57161 \nL 175.82318 135.787404 \nL 176.759176 135.743261 \nL 177.68813 135.444918 \nL 178.232014 135.042648 \nL 178.355877 134.690166 \nL 178.169641 134.529946 \nL 177.765577 134.494968 \nL 176.963364 134.663082 \nL 175.749696 135.184716 \nL 174.615231 135.929405 \nL 173.968054 136.565939 \nL 173.669581 137.136474 \nL 173.707616 137.469668 \nL 173.973358 137.688014 \nL 174.451511 137.768315 \nL 175.362881 137.63658 \nL 176.477199 137.229737 \nL 177.633764 136.586314 \nL 178.641259 135.793984 \nL 179.304402 134.985098 \nL 179.478008 134.461512 \nL 179.415893 134.187726 \nL 179.207577 133.992633 \nL 178.634941 133.871042 \nL 177.79806 133.967752 \nL 176.41895 134.41564 \nL 174.969339 135.146495 \nL 173.700116 136.03359 \nL 172.814601 136.93974 \nL 172.483623 137.554445 \nL 172.469972 138.060162 \nL 172.639996 138.316099 \nL 173.153783 138.551855 \nL 173.950043 138.585025 \nL 174.979209 138.397661 \nL 176.171443 137.986322 \nL 177.436227 137.366662 \nL 178.663897 136.577755 \nL 179.731084 135.684373 \nL 180.51182 134.774968 \nL 180.894628 133.953288 \nL 180.889073 133.506146 \nL 180.661983 133.17152 \nL 180.216391 132.970038 \nL 179.568671 132.914083 \nL 178.284439 133.107278 \nL 176.751824 133.605697 \nL 175.137183 134.346778 \nL 173.606711 135.248556 \nL 172.303804 136.225122 \nL 171.336227 137.19663 \nL 170.773185 138.092997 \nL 170.640765 138.618452 \nL 170.706819 139.067137 \nL 170.969298 139.42408 \nL 171.421809 139.675474 \nL 172.053866 139.808822 \nL 173.305329 139.764557 \nL 174.857621 139.40545 \nL 176.614106 138.725189 \nL 178.446121 137.745863 \nL 180.191781 136.527475 \nL 181.662674 135.174166 \nL 182.393175 134.267759 \nL 182.860144 133.416464 \nL 183.019936 132.672554 \nL 182.844565 132.084834 \nL 182.326447 131.693241 \nL 181.481179 131.524062 \nL 180.347589 131.586902 \nL 178.984679 131.87412 \nL 176.673262 132.672611 \nL 174.283396 133.803793 \nL 172.06867 135.13085 \nL 170.228808 136.527251 \nL 168.896172 137.889478 \nL 168.326506 138.737588 \nL 168.023297 139.513466 \nL 167.988204 140.198348 \nL 168.217732 140.774258 \nL 168.704542 141.223488 \nL 169.438152 141.528463 \nL 170.404953 141.671985 \nL 171.587611 141.637829 \nL 172.963902 141.411776 \nL 174.505069 140.983093 \nL 176.173901 140.346497 \nL 177.922755 139.504619 \nL 179.691917 138.470791 \nL 181.40885 137.271918 \nL 182.988976 135.950846 \nL 184.338737 134.567447 \nL 185.361518 133.197406 \nL 185.966557 131.927832 \nL 186.088411 131.359163 \nL 186.08022 130.849253 \nL 185.937427 130.408153 \nL 185.657953 130.044671 \nL 185.242423 129.766021 \nL 184.694287 129.577525 \nL 183.228071 129.48161 \nL 181.340701 129.755993 \nL 179.147075 130.366842 \nL 176.781116 131.255584 \nL 174.379389 132.350841 \nL 172.066578 133.580326 \nL 169.945516 134.879701 \nL 168.092718 136.197018 \nL 166.558706 137.49305 \nL 165.371625 138.738985 \nL 164.542431 139.913011 \nL 164.070295 140.996994 \nL 163.947354 141.973853 \nL 164.162354 142.82579 \nL 164.703075 143.533305 \nL 165.557566 144.074817 \nL 166.714275 144.426699 \nL 168.16118 144.563714 \nL 169.883985 144.459868 \nL 171.863409 144.089805 \nL 174.07161 143.431025 \nL 176.467857 142.467087 \nL 178.993702 141.192125 \nL 181.56827 139.616651 \nL 184.084604 137.774345 \nL 186.40871 135.728826 \nL 188.383255 133.578437 \nL 189.838026 131.456287 \nL 190.318155 130.455146 \nL 190.608349 129.522282 \nL 190.693091 128.678911 \nL 190.560605 127.945146 \nL 190.203697 127.339007 \nL 189.620449 126.875449 \nL 188.814684 126.565486 \nL 187.796144 126.41553 \nL 186.580331 126.427011 \nL 185.18802 126.596296 \nL 181.978227 127.370785 \nL 178.40186 128.628559 \nL 174.708077 130.2256 \nL 171.123347 132.01764 \nL 167.826481 133.885107 \nL 164.938913 135.744002 \nL 162.527854 137.544185 \nL 160.617115 139.26045 \nL 159.200504 140.881947 \nL 158.254346 142.403364 \nL 157.747529 143.819083 \nL 157.648621 145.120029 \nL 157.930396 146.292417 \nL 158.572262 147.317496 \nL 159.561121 148.171683 \nL 160.891058 148.826732 \nL 162.562059 149.249802 \nL 164.577859 149.403519 \nL 166.942776 149.246211 \nL 169.657314 148.732742 \nL 172.712188 147.816533 \nL 176.080424 146.4535 \nL 179.707359 144.608929 \nL 183.498872 142.268226 \nL 187.309141 139.452131 \nL 189.159074 137.886561 \nL 190.93089 136.235568 \nL 192.588723 134.520148 \nL 194.093358 132.766767 \nL 195.403123 131.007408 \nL 196.475176 129.279197 \nL 197.267208 127.623561 \nL 197.739562 126.084789 \nL 197.857657 124.707993 \nL 197.594539 123.536552 \nL 196.93337 122.609183 \nL 195.869531 121.956949 \nL 194.412065 121.600509 \nL 192.58416 121.548114 \nL 190.422542 121.794603 \nL 187.975703 122.321708 \nL 185.301134 123.099686 \nL 182.461881 124.090056 \nL 176.546845 126.531526 \nL 170.709699 129.297855 \nL 165.320981 132.107903 \nL 160.609676 134.790616 \nL 156.674197 137.277462 \nL 153.516247 139.568229 \nL 151.078379 141.694576 \nL 149.274875 143.693977 \nL 148.013127 145.59611 \nL 147.206567 147.418423 \nL 146.781424 149.166794 \nL 146.679444 150.838148 \nL 146.858267 152.423279 \nL 147.290573 153.90899 \nL 147.962755 155.279352 \nL 148.873526 156.516117 \nL 150.0327 157.598409 \nL 151.460194 158.501837 \nL 153.185219 159.197115 \nL 155.245484 159.648278 \nL 157.686158 159.810544 \nL 160.558158 159.627932 \nL 163.915083 159.030913 \nL 167.807833 157.934636 \nL 172.275506 156.238861 \nL 174.730468 155.131408 \nL 177.330725 153.83163 \nL 180.070051 152.325444 \nL 182.937256 150.599987 \nL 185.91495 148.644695 \nL 188.97819 146.452714 \nL 192.093025 144.022683 \nL 195.21507 141.360876 \nL 198.288237 138.483671 \nL 201.243841 135.42022 \nL 204.000358 132.21509 \nL 206.464219 128.930455 \nL 208.531992 125.647351 \nL 210.094375 122.465259 \nL 211.042251 119.499299 \nL 211.274781 116.874374 \nL 210.709181 114.715963 \nL 209.291155 113.137947 \nL 207.004512 112.228761 \nL 203.877982 112.038136 \nL 199.987372 112.56733 \nL 195.451761 113.7657 \nL 190.423723 115.535252 \nL 185.074937 117.742891 \nL 179.579884 120.237966 \nL 168.775144 125.510928 \nL 134.621412 142.734354 \nL 131.45185 144.721179 \nL 128.95242 146.588147 \nL 126.910804 148.401286 \nL 124.33228 151.070913 \nL 121.121549 154.509069 \nL 119.395774 156.132939 \nL 117.490247 157.65803 \nL 115.343809 159.051942 \nL 112.903259 160.27544 \nL 110.12312 161.279256 \nL 106.967688 162.000084 \nL 105.241877 162.229657 \nL 103.415899 162.35613 \nL 101.490793 162.365712 \nL 99.469807 162.243038 \nL 97.358897 161.971176 \nL 95.1673 161.531735 \nL 92.908175 160.905111 \nL 90.599269 160.070914 \nL 88.263597 159.008629 \nL 85.930054 157.698544 \nL 83.633898 156.123017 \nL 81.417011 154.268108 \nL 79.327789 152.12553 \nL 77.420529 149.694926 \nL 75.754185 146.986296 \nL 74.390368 144.022392 \nL 73.390523 140.840734 \nL 72.812356 137.494849 \nL 72.705667 134.054342 \nL 73.107958 130.603319 \nL 74.040308 127.236986 \nL 75.504104 124.056366 \nL 77.479225 121.161529 \nL 79.924121 118.644058 \nL 82.777948 116.579752 \nL 85.9646 115.02262 \nL 89.398122 114.001162 \nL 92.98876 113.517413 \nL 96.648812 113.548788 \nL 100.297619 114.052298 \nL 103.865175 114.97019 \nL 107.294254 116.236128 \nL 110.541076 117.781016 \nL 113.57485 119.537796 \nL 116.376507 121.444954 \nL 118.936975 123.448663 \nL 121.255312 125.503746 \nL 123.336855 127.573702 \nL 125.19157 129.630114 \nL 126.832606 131.651702 \nL 128.275121 133.623207 \nL 130.62981 137.378527 \nL 132.386291 140.854928 \nL 133.666492 144.04844 \nL 134.576107 146.974598 \nL 135.202124 149.657638 \nL 135.755159 153.284775 \nL 135.98634 156.510703 \nL 135.997232 159.40864 \nL 135.759359 162.862724 \nL 135.267189 165.945495 \nL 134.715716 168.064134 \nL 133.971066 170.049467 \nL 132.978884 171.927358 \nL 132.142781 173.131253 \nL 131.133028 174.303984 \nL 129.913047 175.450607 \nL 128.438207 176.574337 \nL 126.654345 177.675259 \nL 124.496182 178.748213 \nL 121.885802 179.779447 \nL 118.731607 180.741355 \nL 114.928476 181.584424 \nL 110.360568 182.225123 \nL 107.752483 182.429977 \nL 104.909289 182.528281 \nL 101.818573 182.491071 \nL 98.470753 182.282736 \nL 94.860666 181.859955 \nL 90.989634 181.170674 \nL 86.868134 180.153281 \nL 82.519113 178.736213 \nL 77.981995 176.838367 \nL 73.317285 174.370776 \nL 68.611498 171.240274 \nL 63.981925 167.355841 \nL 59.58024 162.638468 \nL 55.593648 157.035038 \nL 52.241666 150.536144 \nL 49.766557 143.196466 \nL 48.415661 135.154551 \nL 48.415297 126.646748 \nL 49.938182 118.00837 \nL 53.069687 109.655597 \nL 57.781158 102.044869 \nL 63.919255 95.613424 \nL 71.217478 90.712649 \nL 79.329768 87.551651 \nL 87.878345 86.167598 \nL 96.503281 86.431334 \nL 104.901508 88.084809 \nL 112.848074 90.796866 \nL 120.199311 94.220458 \nL 126.882813 98.037956 \nL 132.880863 101.988297 \nL 138.213052 105.876632 \nL 142.921453 109.571151 \nL 150.685139 116.103131 \nL 161.154063 125.450924 \nL 167.291326 130.879577 \nL 170.258737 133.268617 \nL 172.405013 134.713839 \nL 174.042913 135.50736 \nL 175.353061 135.846471 \nL 176.426054 135.870781 \nL 177.293508 135.686924 \nL 178.12125 135.269232 \nL 178.52781 134.817894 \nL 178.532055 134.548304 \nL 178.280069 134.391758 \nL 177.797944 134.377997 \nL 176.885703 134.595974 \nL 175.552915 135.198411 \nL 174.348717 136.02252 \nL 173.691723 136.709018 \nL 173.424315 137.310668 \nL 173.50943 137.652468 \nL 173.838914 137.865642 \nL 174.39329 137.92652 \nL 175.417055 137.747215 \nL 176.642837 137.271343 \nL 177.892656 136.545418 \nL 178.956116 135.67042 \nL 179.50254 135.005148 \nL 179.748612 134.413353 \nL 179.720697 134.09531 \nL 179.532303 133.859985 \nL 179.187137 133.721159 \nL 178.405274 133.710453 \nL 177.377028 133.936965 \nL 175.808759 134.559889 \nL 174.275206 135.438661 \nL 173.03461 136.426488 \nL 172.413468 137.150987 \nL 172.114149 137.799335 \nL 172.159541 138.322434 \nL 172.381984 138.580272 \nL 172.752486 138.75247 \nL 173.564252 138.830465 \nL 174.638529 138.67304 \nL 175.905447 138.272073 \nL 177.272635 137.638874 \nL 178.625619 136.809543 \nL 179.832158 135.8487 \nL 180.752832 134.848856 \nL 181.258933 133.922871 \nL 181.317142 133.405032 \nL 181.1332 133.004103 \nL 180.706353 132.745201 \nL 180.050887 132.644533 \nL 179.195712 132.707872 \nL 177.631812 133.097172 \nL 175.887998 133.788368 \nL 174.151995 134.697334 \nL 172.595444 135.729352 \nL 171.354125 136.793896 \nL 170.520585 137.811504 \nL 170.218425 138.429861 \nL 170.127809 138.979109 \nL 170.249792 139.44274 \nL 170.580693 139.805321 \nL 171.112651 140.052451 \nL 171.833805 140.170946 \nL 172.728101 140.149324 \nL 174.347266 139.835338 \nL 176.213742 139.172142 \nL 178.199004 138.173313 \nL 180.136391 136.891931 \nL 181.824884 135.429931 \nL 182.704208 134.428228 \nL 183.31287 133.468188 \nL 183.597117 132.60863 \nL 183.518736 131.906535 \nL 183.061117 131.410705 \nL 182.233493 131.155686 \nL 181.072078 131.157399 \nL 179.637531 131.411614 \nL 178.009 131.895698 \nL 175.398482 132.970612 \nL 172.8514 134.328509 \nL 170.619747 135.820313 \nL 168.881172 137.321897 \nL 168.049268 138.280375 \nL 167.497886 139.177833 \nL 167.232527 139.994317 \nL 167.252106 140.711181 \nL 167.551004 141.310169 \nL 168.120427 141.772871 \nL 168.949014 142.080613 \nL 170.022703 142.21477 \nL 171.32388 142.157453 \nL 172.829904 141.892663 \nL 174.511097 141.407954 \nL 176.328372 140.696713 \nL 178.230801 139.760974 \nL 180.153514 138.61478 \nL 182.01661 137.287649 \nL 183.725876 135.82752 \nL 185.176225 134.302214 \nL 186.258623 132.798128 \nL 186.870722 131.414952 \nL 186.973556 130.801182 \nL 186.930398 130.255933 \nL 186.736505 129.790451 \nL 186.390079 129.414433 \nL 185.892516 129.135605 \nL 185.248527 128.959366 \nL 184.466113 128.88856 \nL 182.533282 129.061361 \nL 180.213635 129.625362 \nL 177.654755 130.519039 \nL 175.01263 131.661831 \nL 172.43312 132.969342 \nL 170.038388 134.36547 \nL 167.920125 135.789071 \nL 166.139021 137.195126 \nL 164.728689 138.552156 \nL 163.701834 139.83795 \nL 163.056878 141.035265 \nL 162.783865 142.128407 \nL 162.869084 143.100928 \nL 163.298229 143.934317 \nL 164.058187 144.607413 \nL 165.137594 145.096303 \nL 166.52628 145.374574 \nL 168.21372 145.413882 \nL 170.186494 145.185005 \nL 172.424772 144.659558 \nL 174.897798 143.812733 \nL 177.558512 142.627388 \nL 180.337646 141.099793 \nL 183.138076 139.247066 \nL 185.830837 137.115688 \nL 188.254953 134.789652 \nL 190.223795 132.395368 \nL 190.975743 131.223378 \nL 191.540536 130.099336 \nL 191.896198 129.048096 \nL 192.023788 128.094573 \nL 191.908552 127.262631 \nL 191.540992 126.573848 \nL 190.917769 126.04627 \nL 190.04235 125.693282 \nL 188.925293 125.52272 \nL 187.584099 125.536338 \nL 186.042642 125.729704 \nL 184.330179 126.092573 \nL 180.52802 127.262018 \nL 176.464708 128.884978 \nL 172.418238 130.784731 \nL 168.619146 132.805562 \nL 165.230938 134.83411 \nL 162.348942 136.80228 \nL 160.011429 138.677798 \nL 158.215881 140.450394 \nL 156.935084 142.119433 \nL 156.130324 143.685355 \nL 155.760931 145.145025 \nL 155.79042 146.489856 \nL 156.189984 147.705531 \nL 156.940025 148.772313 \nL 158.030354 149.665443 \nL 159.459426 150.355268 \nL 161.232813 150.807107 \nL 163.360924 150.980989 \nL 165.855769 150.831462 \nL 168.726455 150.307984 \nL 171.972908 149.356452 \nL 175.577301 147.922834 \nL 179.492734 145.960123 \nL 183.629226 143.439959 \nL 185.736617 141.971253 \nL 187.838091 140.370135 \nL 189.903538 138.647045 \nL 191.897749 136.817774 \nL 193.780502 134.90423 \nL 195.507003 132.935021 \nL 197.028766 130.945735 \nL 198.294999 128.978744 \nL 199.254589 127.082399 \nL 199.858614 125.309448 \nL 200.063356 123.71465 \nL 199.833619 122.351595 \nL 199.146017 121.268925 \nL 197.991904 120.506286 \nL 196.379492 120.09058 \nL 194.334733 120.033016 \nL 191.900715 120.327568 \nL 189.13549 120.951231 \nL 186.108485 121.866114 \nL 182.895957 123.023167 \nL 176.224019 125.8406 \nL 169.687983 128.97031 \nL 163.711596 132.07756 \nL 158.539036 134.975916 \nL 154.256711 137.608591 \nL 150.840617 139.998413 \nL 148.204061 142.199863 \nL 146.234099 144.267929 \nL 144.815029 146.24382 \nL 143.841487 148.151977 \nL 143.224471 150.002571 \nL 142.893059 151.795741 \nL 142.793763 153.525582 \nL 142.888792 155.183078 \nL 143.153978 156.757938 \nL 143.576822 158.239491 \nL 144.154867 159.616847 \nL 144.894505 160.878574 \nL 145.810213 162.012009 \nL 146.924207 163.002267 \nL 148.26642 163.830978 \nL 149.874749 164.474729 \nL 151.795405 164.903118 \nL 154.083181 165.076357 \nL 156.801312 164.94237 \nL 160.020378 164.433395 \nL 163.815389 163.462335 \nL 168.259676 161.919506 \nL 173.413476 159.671338 \nL 176.267072 158.235196 \nL 179.304247 156.564015 \nL 182.518123 154.637662 \nL 185.894975 152.437428 \nL 189.412361 149.947647 \nL 193.03699 147.157895 \nL 196.722438 144.065809 \nL 200.406852 140.680565 \nL 204.010889 137.026973 \nL 207.436302 133.149923 \nL 210.565691 129.118725 \nL 213.264084 125.030627 \nL 215.383151 121.012334 \nL 216.768673 117.218206 \nL 217.271778 113.8236 \nL 216.763641 111.012231 \nL 215.152467 108.957516 \nL 212.400367 107.799369 \nL 208.536514 107.620323 \nL 203.662789 108.426578 \nL 197.948842 110.139969 \nL 191.616034 112.604952 \nL 184.912844 115.610511 \nL 178.087003 118.922066 \nL 153.316266 131.37476 \nL 143.775954 135.785203 \nL 136.243738 138.963993 \nL 122.465816 144.521605 \nL 119.69103 145.870078 \nL 116.337318 147.775065 \nL 111.542472 150.657967 \nL 109.585512 151.629893 \nL 107.505737 152.436551 \nL 105.266926 153.029271 \nL 102.853539 153.354645 \nL 100.271771 153.354836 \nL 97.55224 152.968898 \nL 96.157984 152.611999 \nL 94.753776 152.136128 \nL 93.35202 151.534794 \nL 91.967288 150.802536 \nL 90.61634 149.935356 \nL 89.318022 148.9312 \nL 88.093082 147.790489 \nL 86.96385 146.51668 \nL 85.953765 145.116826 \nL 85.08675 143.602047 \nL 84.38641 141.98793 \nL 83.875106 140.29471 \nL 83.572917 138.547248 \nL 83.496537 136.774678 \nL 83.658231 135.00973 \nL 84.064863 133.287705 \nL 84.717178 131.645135 \nL 85.609364 130.118205 \nL 86.728974 128.741033 \nL 88.057267 127.544009 \nL 89.569919 126.552259 \nL 91.238092 125.784495 \nL 93.029722 125.252254 \nL 94.910966 124.959664 \nL 96.847644 124.903711 \nL 98.806562 125.074955 \nL 100.756661 125.458563 \nL 102.669884 126.035567 \nL 104.521776 126.784208 \nL 106.29179 127.681212 \nL 107.963369 128.702956 \nL 109.5238 129.826394 \nL 110.963934 131.029805 \nL 112.277794 132.293274 \nL 113.462138 133.599 \nL 115.440191 136.277114 \nL 116.909571 138.965393 \nL 117.898191 141.595692 \nL 118.44037 144.123792 \nL 118.569763 146.522406 \nL 118.314891 148.775009 \nL 117.69671 150.870788 \nL 116.727716 152.800544 \nL 115.412157 154.55334 \nL 113.747172 156.113512 \nL 111.724776 157.457816 \nL 109.334839 158.552534 \nL 106.569363 159.350423 \nL 105.045322 159.618869 \nL 103.428517 159.787789 \nL 101.721611 159.846259 \nL 99.928967 159.782119 \nL 98.057068 159.582016 \nL 96.114967 159.231539 \nL 94.114783 158.71545 \nL 92.072202 158.01804 \nL 90.006972 157.123669 \nL 87.943344 156.017499 \nL 85.910398 154.68644 \nL 83.942203 153.120349 \nL 82.077717 151.313454 \nL 80.360329 149.26597 \nL 78.836961 146.985807 \nL 77.55667 144.490272 \nL 76.568674 141.807496 \nL 75.919862 138.977404 \nL 75.651884 136.051895 \nL 75.798023 133.094023 \nL 76.380138 130.175936 \nL 77.406081 127.375567 \nL 78.867939 124.772233 \nL 80.741458 122.441512 \nL 82.986817 120.449945 \nL 85.550785 118.850283 \nL 88.370023 117.677918 \nL 91.375137 116.948991 \nL 94.494981 116.66037 \nL 97.660716 116.791431 \nL 100.809177 117.307243 \nL 103.885325 118.162601 \nL 106.843685 119.306287 \nL 109.648832 120.685063 \nL 112.275103 122.246997 \nL 114.705762 123.943922 \nL 116.931834 125.733018 \nL 118.950775 127.577615 \nL 120.765151 129.44734 \nL 122.381405 131.317841 \nL 123.808755 133.17021 \nL 125.058259 134.990268 \nL 127.072714 138.495886 \nL 128.524585 141.78823 \nL 129.508427 144.853947 \nL 130.106205 147.698706 \nL 130.384193 150.337956 \nL 130.392419 152.791231 \nL 130.165494 155.078796 \nL 129.724017 157.219761 \nL 129.076068 159.231035 \nL 128.218519 161.126731 \nL 127.138011 162.917696 \nL 125.811577 164.610936 \nL 124.206978 166.208729 \nL 122.282846 167.707219 \nL 119.988865 169.094157 \nL 117.266351 170.345519 \nL 114.049771 171.420522 \nL 110.270157 172.254579 \nL 108.148276 172.552277 \nL 105.861839 172.749795 \nL 103.405151 172.827719 \nL 100.7747 172.762945 \nL 97.970057 172.528276 \nL 94.995011 172.092075 \nL 91.858952 171.418069 \nL 88.578497 170.465397 \nL 85.179387 169.189078 \nL 81.69855 167.541037 \nL 78.186246 165.471963 \nL 74.708061 162.934209 \nL 71.346417 159.885997 \nL 68.201167 156.297064 \nL 65.388631 152.155704 \nL 63.038479 147.47687 \nL 61.28779 142.310483 \nL 60.272001 136.748556 \nL 60.112899 130.929207 \nL 60.904663 125.035367 \nL 62.699848 119.286346 \nL 65.498004 113.921514 \nL 69.239747 109.17723 \nL 73.808498 105.260409 \nL 79.040438 102.323801 \nL 84.741231 100.448388 \nL 90.706227 99.63691 \nL 96.740136 99.819577 \nL 102.672635 100.869946 \nL 108.367907 102.626507 \nL 113.727864 104.914929 \nL 118.690299 107.566922 \nL 123.223787 110.433327 \nL 127.321205 113.391122 \nL 130.993226 116.345236 \nL 134.262629 119.226782 \nL 137.159728 121.98927 \nL 141.976285 127.056062 \nL 145.728334 131.455743 \nL 149.943003 136.8598 \nL 154.064714 142.171257 \nL 155.857771 144.151428 \nL 157.635759 145.738195 \nL 159.490297 146.955827 \nL 161.494001 147.814616 \nL 163.703849 148.312098 \nL 166.162865 148.434544 \nL 168.89984 148.158903 \nL 171.926827 147.455695 \nL 175.234189 146.293476 \nL 178.783116 144.645733 \nL 182.495976 142.501141 \nL 186.245632 139.877793 \nL 188.078649 138.404596 \nL 189.846324 136.840893 \nL 191.515764 135.20526 \nL 193.050661 133.521323 \nL 194.412013 131.817896 \nL 195.559197 130.128808 \nL 196.451431 128.492263 \nL 197.049636 126.949736 \nL 197.318605 125.544272 \nL 197.229371 124.318292 \nL 196.761605 123.310978 \nL 195.905764 122.555466 \nL 194.664721 122.07616 \nL 193.054651 121.886523 \nL 191.104912 121.987689 \nL 188.85687 122.368202 \nL 186.361728 123.004958 \nL 183.677561 123.865302 \nL 177.988157 126.096571 \nL 172.261863 128.729416 \nL 166.885745 131.474599 \nL 162.116938 134.139844 \nL 158.083256 136.633965 \nL 154.810794 138.939698 \nL 152.259431 141.078912 \nL 150.354231 143.08511 \nL 149.008344 144.987483 \nL 148.137567 146.804531 \nL 147.66843 148.543431 \nL 147.541897 150.202079 \nL 147.714384 151.771632 \nL 148.157312 153.238661 \nL 148.855989 154.586472 \nL 149.808304 155.795598 \nL 151.023497 156.843547 \nL 152.521074 157.703945 \nL 154.329823 158.345175 \nL 156.486766 158.728606 \nL 159.03573 158.806521 \nL 162.025052 158.519916 \nL 165.5037 157.796529 \nL 169.514728 156.549835 \nL 174.084641 154.680364 \nL 176.579014 153.478771 \nL 179.206837 152.081624 \nL 181.958133 150.476821 \nL 184.817332 148.654261 \nL 187.762055 146.607094 \nL 190.761807 144.333273 \nL 193.776672 141.837453 \nL 196.756131 139.133164 \nL 199.638198 136.245203 \nL 202.349087 133.212016 \nL 204.803719 130.087775 \nL 206.907454 126.943705 \nL 208.559317 123.868078 \nL 209.657043 120.964223 \nL 210.10396 118.345969 \nL 209.817453 116.130189 \nL 208.738318 114.426562 \nL 206.839772 113.325484 \nL 204.134501 112.885849 \nL 200.678079 113.125135 \nL 196.567385 114.014248 \nL 191.933642 115.479059 \nL 186.930821 117.408931 \nL 181.721409 119.670836 \nL 171.291774 124.645831 \nL 143.669925 138.538931 \nL 138.909337 141.075216 \nL 135.222535 143.267341 \nL 132.360837 145.26859 \nL 130.097983 147.17685 \nL 128.240816 149.04333 \nL 125.875352 151.799919 \nL 122.888523 155.36052 \nL 121.26502 157.053297 \nL 119.460093 158.657954 \nL 117.413042 160.147493 \nL 115.068411 161.488908 \nL 112.375284 162.639914 \nL 109.288576 163.544644 \nL 105.77293 164.128505 \nL 103.84759 164.270314 \nL 101.810079 164.292647 \nL 99.662736 164.178547 \nL 97.410746 163.909055 \nL 95.062829 163.463278 \nL 92.632006 162.818581 \nL 90.136429 161.951001 \nL 87.600245 160.835925 \nL 85.054428 159.449101 \nL 82.537485 157.76806 \nL 80.095919 155.774001 \nL 77.784283 153.454145 \nL 75.664656 150.804538 \nL 73.805311 147.833128 \nL 72.278457 144.562916 \nL 71.156875 141.034698 \nL 70.50955 137.30897 \nL 70.396449 133.466288 \nL 70.862936 129.605583 \nL 71.934449 125.839974 \nL 73.612276 122.290107 \nL 75.871241 119.075442 \nL 78.659913 116.304474 \nL 81.90355 114.065321 \nL 85.50953 112.418212 \nL 89.374498 111.39106 \nL 93.392161 110.978896 \nL 97.46061 111.147009 \nL 101.488256 111.836985 \nL 105.397844 112.974456 \nL 109.128442 114.477099 \nL 112.63563 116.261834 \nL 115.890345 118.250435 \nL 118.876896 120.373269 \nL 121.590593 122.571283 \nL 124.035337 124.796541 \nL 126.221396 127.011696 \nL 128.163486 129.188871 \nL 129.879176 131.308207 \nL 132.708658 135.325188 \nL 134.866671 139.010449 \nL 136.501763 142.359537 \nL 137.744514 145.391912 \nL 139.106808 149.411173 \nL 142.117745 159.334196 \nL 143.130707 161.50653 \nL 143.932267 162.774084 \nL 144.869589 163.895797 \nL 145.975518 164.865272 \nL 147.287263 165.670737 \nL 148.847778 166.294004 \nL 150.707022 166.708949 \nL 152.922981 166.879432 \nL 155.562265 166.756546 \nL 158.69979 166.275191 \nL 162.416832 165.350099 \nL 166.796127 163.871825 \nL 171.911988 161.703986 \nL 174.762874 160.311635 \nL 177.812405 158.684458 \nL 181.057546 156.799824 \nL 184.488978 154.635646 \nL 188.089177 152.171849 \nL 191.830173 149.392418 \nL 195.671052 146.288134 \nL 199.555286 142.860087 \nL 203.408126 139.123962 \nL 207.134424 135.114987 \nL 210.61736 130.893176 \nL 213.718848 126.548167 \nL 216.282435 122.202605 \nL 218.139627 118.012556 \nL 219.120437 114.163123 \nL 219.068346 110.85756 \nL 217.858956 108.298948 \nL 215.420179 106.665071 \nL 211.75029 106.079862 \nL 206.929064 106.587361 \nL 201.117612 108.135728 \nL 194.544659 110.577931 \nL 187.480847 113.691395 \nL 180.206456 117.212737 \nL 153.439086 130.761585 \nL 147.973806 133.332666 \nL 138.741619 137.313767 \nL 131.563066 140.042544 \nL 115.88566 145.642185 \nL 111.67411 147.607611 \nL 107.968183 149.269884 \nL 106.08473 149.906694 \nL 104.119363 150.358247 \nL 102.054881 150.57971 \nL 99.895833 150.525625 \nL 97.668756 150.151904 \nL 95.423003 149.41906 \nL 93.231323 148.297235 \nL 92.18474 147.58547 \nL 91.189036 146.773304 \nL 90.259068 145.863151 \nL 89.410429 144.859599 \nL 88.659098 143.769678 \nL 88.020999 142.603069 \nL 87.511496 141.372217 \nL 87.144811 140.092358 \nL 86.933423 138.781388 \nL 86.887454 137.45956 \nL 87.014093 136.149044 \nL 87.317099 134.873285 \nL 87.796418 133.656255 \nL 88.447966 132.521549 \nL 89.263611 131.49148 \nL 90.231343 130.586165 \nL 91.33564 129.822712 \nL 92.55803 129.214543 \nL 93.877767 128.770946 \nL 95.272608 128.496848 \nL 96.719618 128.392847 \nL 98.195945 128.455471 \nL 99.679531 128.677636 \nL 101.149695 129.049235 \nL 102.587609 129.557829 \nL 103.976598 130.189347 \nL 105.302333 130.928761 \nL 106.552882 131.760706 \nL 108.79223 133.642034 \nL 110.643089 135.720667 \nL 112.082085 137.900778 \nL 113.106029 140.105954 \nL 113.724303 142.277985 \nL 113.952531 144.373625 \nL 113.807902 146.360599 \nL 113.306118 148.213639 \nL 112.459798 149.910846 \nL 111.278144 151.430474 \nL 109.767718 152.748109 \nL 107.934269 153.834119 \nL 105.785658 154.651514 \nL 103.33598 155.154225 \nL 100.611 155.286212 \nL 99.158164 155.193052 \nL 97.654952 154.982082 \nL 96.111074 154.644167 \nL 94.538403 154.170173 \nL 92.951213 153.551299 \nL 91.366377 152.779505 \nL 89.803504 151.848033 \nL 88.284957 150.752055 \nL 86.835764 149.48938 \nL 85.483341 148.061266 \nL 84.257014 146.473233 \nL 83.187312 144.735879 \nL 82.305006 142.865554 \nL 81.639906 140.884857 \nL 81.219469 138.822816 \nL 81.067268 136.714637 \nL 81.201437 134.600974 \nL 81.633236 132.526663 \nL 82.365885 130.538928 \nL 83.393796 128.685155 \nL 84.702359 127.010446 \nL 86.268327 125.555095 \nL 88.060791 124.352351 \nL 90.042686 123.42661 \nL 92.172682 122.792327 \nL 94.407259 122.453683 \nL 96.702786 122.405035 \nL 99.017396 122.632061 \nL 101.31254 123.113391 \nL 103.554121 123.822517 \nL 105.713198 124.729775 \nL 107.766276 125.80419 \nL 109.695243 127.015048 \nL 111.487048 128.333143 \nL 113.133184 129.731641 \nL 114.629078 131.186625 \nL 115.973427 132.677324 \nL 117.16755 134.186148 \nL 118.214772 135.698523 \nL 119.888594 138.689162 \nL 121.042384 141.582267 \nL 121.727725 144.33962 \nL 121.992377 146.942312 \nL 121.875631 149.383205 \nL 121.405983 151.661245 \nL 120.600403 153.777288 \nL 119.464589 155.730907 \nL 117.993882 157.517711 \nL 116.174693 159.126842 \nL 113.986503 160.538238 \nL 111.404678 161.719488 \nL 108.404578 162.622047 \nL 106.741422 162.948179 \nL 104.967667 163.176919 \nL 103.083424 163.295714 \nL 101.09052 163.290205 \nL 98.993009 163.144193 \nL 96.797758 162.839628 \nL 94.515121 162.356757 \nL 92.159663 161.674387 \nL 89.750942 160.770371 \nL 87.314272 159.622352 \nL 84.881441 158.208831 \nL 82.491255 156.510611 \nL 80.189832 154.512658 \nL 78.030443 152.206358 \nL 76.072801 149.592115 \nL 74.381574 146.682142 \nL 73.024017 143.503142 \nL 72.06669 140.098544 \nL 71.571279 136.529766 \nL 71.589809 132.876032 \nL 72.159688 129.232225 \nL 73.299168 125.704573 \nL 75.003968 122.404218 \nL 77.245707 119.439202 \nL 79.972609 116.905822 \nL 83.112584 114.880563 \nL 86.578371 113.413934 \nL 90.27402 112.527129 \nL 94.101798 112.212057 \nL 97.968553 112.434502 \nL 101.790827 113.139678 \nL 105.498253 114.259081 \nL 109.035223 115.717506 \nL 112.361013 117.439289 \nL 115.448747 119.353154 \nL 118.283656 121.395487 \nL 120.860988 123.512076 \nL 123.183871 125.658589 \nL 125.261331 127.800192 \nL 127.10656 129.910569 \nL 128.735465 131.970703 \nL 131.414831 135.892883 \nL 133.44321 139.513295 \nL 134.957451 142.823893 \nL 136.078002 145.840295 \nL 136.905568 148.588534 \nL 137.770331 152.271244 \nL 138.51752 156.500213 \nL 139.779688 163.909508 \nL 140.507056 166.471057 \nL 141.225428 168.130461 \nL 142.157506 169.564212 \nL 142.934125 170.388165 \nL 143.866715 171.097727 \nL 144.988756 171.680967 \nL 146.340593 172.120913 \nL 147.970758 172.393979 \nL 149.937349 172.467835 \nL 152.309312 172.29853 \nL 155.167353 171.826708 \nL 158.603877 170.972797 \nL 162.720964 169.631255 \nL 167.624599 167.66442 \nL 173.412218 164.897672 \nL 176.660142 163.149509 \nL 180.149061 161.119702 \nL 183.875347 158.778207 \nL 187.826882 156.095614 \nL 191.980281 153.045298 \nL 196.297611 149.606469 \nL 200.722706 145.768363 \nL 205.177207 141.535653 \nL 209.556778 136.935153 \nL 213.728021 132.023485 \nL 217.5271 126.895097 \nL 220.761291 121.689225 \nL 223.215001 116.59378 \nL 224.661808 111.843223 \nL 224.883574 107.70721 \nL 223.696466 104.467299 \nL 220.981365 102.381323 \nL 216.713407 101.639136 \nL 210.982674 102.318911 \nL 203.997806 104.35729 \nL 196.067268 107.546319 \nL 187.559981 111.563207 \nL 178.854593 116.026753 \nL 162.137413 124.864354 \nL 154.574823 128.715163 \nL 147.702894 132.002859 \nL 141.554485 134.699554 \nL 136.115123 136.837696 \nL 131.340952 138.484628 \nL 127.172759 139.721966 \nL 123.545685 140.631584 \nL 117.660659 141.752641 \nL 113.223187 142.301385 \nL 108.48756 142.627612 \nL 103.001959 142.735035 \nL 100.382499 142.576617 \nL 98.892295 142.231018 \nL 98.025003 141.822991 \nL 97.363044 141.297592 \nL 96.920665 140.685812 \nL 96.715853 140.036258 \nL 96.757863 139.409654 \nL 97.038524 138.870781 \nL 97.528039 138.479013 \nL 98.175674 138.279264 \nL 98.914725 138.2954 \nL 99.670352 138.527468 \nL 100.3682 138.952983 \nL 100.941996 139.531322 \nL 101.339 140.209677 \nL 101.522993 140.928971 \nL 101.475393 141.628803 \nL 101.195136 142.251125 \nL 100.698159 142.742892 \nL 100.016874 143.058285 \nL 99.199679 143.161153 \nL 98.310042 143.028217 \nL 97.424405 142.653094 \nL 96.627881 142.050716 \nL 96.007086 141.260991 \nL 95.639924 140.34989 \nL 95.583595 139.405981 \nL 95.732719 138.808745 \nL 96.02981 138.273088 \nL 96.464486 137.827528 \nL 97.018604 137.49619 \nL 97.667381 137.297033 \nL 98.381063 137.240634 \nL 99.501477 137.427596 \nL 100.582324 137.918164 \nL 101.521303 138.659601 \nL 102.235375 139.578951 \nL 102.665512 140.593633 \nL 102.777457 141.619676 \nL 102.668996 142.27015 \nL 102.41588 142.867613 \nL 102.024208 143.391233 \nL 101.504012 143.821725 \nL 100.869292 144.141512 \nL 100.138147 144.335024 \nL 99.332921 144.389164 \nL 98.480277 144.294011 \nL 97.611111 144.043744 \nL 96.760128 143.637776 \nL 95.964988 143.081988 \nL 95.264873 142.38989 \nL 94.698448 141.583481 \nL 94.301296 140.693516 \nL 94.102953 139.758917 \nL 94.12391 138.825095 \nL 94.373051 137.941159 \nL 94.845916 137.156233 \nL 95.524262 136.515309 \nL 96.377054 136.05524 \nL 97.362829 135.801598 \nL 98.433093 135.766824 \nL 99.53619 135.949978 \nL 100.621074 136.337946 \nL 101.640506 136.907714 \nL 102.553348 137.629228 \nL 103.325876 138.468269 \nL 103.932188 139.388969 \nL 104.353949 140.355734 \nL 104.579686 141.334471 \nL 104.603934 142.293246 \nL 104.426403 143.202422 \nL 104.051344 144.034516 \nL 103.487185 144.763847 \nL 102.746511 145.366257 \nL 101.84634 145.818892 \nL 100.808686 146.100271 \nL 99.661282 146.190761 \nL 98.438346 146.073481 \nL 97.181137 145.735804 \nL 95.938076 145.171385 \nL 94.764083 144.382678 \nL 93.71886 143.383642 \nL 92.863841 142.202209 \nL 92.257795 140.88189 \nL 91.951311 139.481726 \nL 91.980813 138.07399 \nL 92.363124 136.739316 \nL 93.091682 135.55953 \nL 94.135453 134.60921 \nL 95.441078 133.947567 \nL 96.937987 133.612285 \nL 98.545519 133.616619 \nL 100.180701 133.950102 \nL 101.765252 134.582372 \nL 103.230812 135.46888 \nL 104.521928 136.557075 \nL 105.596943 137.791907 \nL 106.427221 139.119955 \nL 106.995343 140.49196 \nL 107.292875 141.863924 \nL 107.318178 143.197083 \nL 107.074582 144.457181 \nL 106.569107 145.61331 \nL 105.811846 146.636636 \nL 104.81602 147.499196 \nL 103.598669 148.17295 \nL 102.181955 148.629209 \nL 100.594953 148.838678 \nL 98.875782 148.772286 \nL 97.07377 148.403034 \nL 95.251271 147.709136 \nL 93.484496 146.678483 \nL 91.862575 145.31435 \nL 90.484103 143.641695 \nL 89.917975 142.704852 \nL 89.450433 141.712898 \nL 89.092944 140.677216 \nL 88.855763 139.611103 \nL 88.747517 138.529582 \nL 88.774801 137.449135 \nL 88.941819 136.387304 \nL 89.250095 135.362232 \nL 89.698273 134.392079 \nL 90.28203 133.494431 \nL 90.994116 132.685675 \nL 91.824516 131.980407 \nL 92.760762 131.390923 \nL 93.788315 130.926808 \nL 94.891057 130.594653 \nL 96.05181 130.39795 \nL 97.252899 130.337109 \nL 98.476671 130.409644 \nL 99.705979 130.610474 \nL 100.924603 130.932307 \nL 103.27142 131.901423 \nL 105.416104 133.23158 \nL 107.284407 134.830165 \nL 108.827843 136.60799 \nL 110.019763 138.485874 \nL 110.850086 140.397394 \nL 111.319957 142.288838 \nL 111.437128 144.117429 \nL 111.212395 145.848689 \nL 110.65727 147.453562 \nL 109.782786 148.905609 \nL 108.599424 150.178465 \nL 107.118041 151.243579 \nL 105.351778 152.068384 \nL 103.318954 152.614959 \nL 101.046932 152.839485 \nL 98.576837 152.692879 \nL 95.968902 152.123238 \nL 94.638609 151.663973 \nL 93.307751 151.080906 \nL 91.991395 150.369556 \nL 90.706495 149.52684 \nL 89.471819 148.551529 \nL 88.30777 147.444759 \nL 87.23608 146.210549 \nL 86.279369 144.856305 \nL 85.460549 143.393262 \nL 84.802083 141.836809 \nL 84.32512 140.206662 \nL 84.04853 138.526781 \nL 83.987911 136.825041 \nL 84.154617 135.132573 \nL 84.554891 133.482795 \nL 85.189225 131.910172 \nL 86.051961 130.448757 \nL 87.131253 129.130623 \nL 88.409376 127.98432 \nL 89.863398 127.033504 \nL 91.466155 126.295873 \nL 93.187443 125.782454 \nL 94.995343 125.497421 \nL 96.857543 125.43829 \nL 98.742576 125.596549 \nL 100.62088 125.958622 \nL 102.46563 126.507001 \nL 104.253296 127.221451 \nL 105.963974 128.080204 \nL 107.581465 129.061038 \nL 109.093177 130.14215 \nL 110.48988 131.302861 \nL 111.765364 132.524096 \nL 112.916033 133.788689 \nL 114.839075 136.389486 \nL 116.26664 139.008313 \nL 117.222787 141.57705 \nL 117.738415 144.0504 \nL 117.84441 146.399427 \nL 117.567261 148.605688 \nL 116.926632 150.656334 \nL 115.934453 152.540084 \nL 114.59516 154.243867 \nL 112.906874 155.749832 \nL 110.863509 157.032504 \nL 108.457924 158.055937 \nL 105.686435 158.770868 \nL 104.16477 158.992956 \nL 102.555091 159.112118 \nL 100.861072 159.117434 \nL 99.088197 158.996883 \nL 97.244172 158.737428 \nL 95.339356 158.3252 \nL 93.387217 157.745779 \nL 91.404789 156.98462 \nL 89.413099 156.027644 \nL 87.437504 154.86202 \nL 85.507908 153.477164 \nL 83.658777 151.865918 \nL 81.928869 150.025962 \nL 80.360619 147.961317 \nL 78.999074 145.683896 \nL 77.890357 143.214921 \nL 77.079648 140.586032 \nL 76.608716 137.839812 \nL 76.513174 135.029551 \nL 76.819638 132.217974 \nL 77.54313 129.474874 \nL 78.685016 126.873685 \nL 80.231848 124.487191 \nL 82.155312 122.382789 \nL 84.413435 120.617868 \nL 86.952926 119.235895 \nL 89.712451 118.263707 \nL 92.626407 117.710413 \nL 95.628774 117.567918 \nL 98.656619 117.812986 \nL 101.652905 118.410345 \nL 104.568458 119.316435 \nL 107.363035 120.483165 \nL 110.005582 121.861367 \nL 112.473864 123.403616 \nL 114.753626 125.066222 \nL 116.837511 126.810528 \nL 118.723862 128.603495 \nL 120.415527 130.417772 \nL 121.918761 132.231408 \nL 123.242251 134.027313 \nL 125.392034 137.518034 \nL 126.954884 140.825918 \nL 128.020588 143.924919 \nL 128.669497 146.812072 \nL 128.967991 149.497157 \nL 128.966928 151.996028 \nL 128.701805 154.326515 \nL 128.193761 156.505971 \nL 127.450859 158.549765 \nL 126.469313 160.470293 \nL 125.234485 162.276161 \nL 123.721639 163.971206 \nL 121.896516 165.553153 \nL 119.715895 167.011601 \nL 117.128477 168.325025 \nL 114.076576 169.456441 \nL 110.49945 170.347331 \nL 108.495546 170.676447 \nL 106.339489 170.90952 \nL 104.026347 171.02923 \nL 101.55312 171.015064 \nL 98.919518 170.842974 \nL 96.128931 170.485106 \nL 93.189588 169.909636 \nL 90.115955 169.080828 \nL 86.9303 167.959407 \nL 83.664439 166.503409 \nL 80.361539 164.669676 \nL 77.077804 162.416185 \nL 73.88384 159.705417 \nL 70.865269 156.508872 \nL 68.122223 152.812751 \nL 65.767112 148.624545 \nL 63.92026 143.979963 \nL 62.70298 138.949221 \nL 62.228205 133.641233 \nL 62.589182 128.204036 \nL 63.847545 122.81984 \nL 66.022749 117.693798 \nL 69.085048 113.036806 \nL 72.954107 109.044324 \nL 77.504248 105.874774 \nL 82.57592 103.631813 \nL 87.991429 102.354215 \nL 93.571912 102.015464 \nL 99.15251 102.532616 \nL 104.593407 103.781886 \nL 109.78576 105.617056 \nL 114.652835 107.887001 \nL 119.147519 110.449674 \nL 123.247707 113.181218 \nL 126.950883 115.98042 \nL 130.268877 118.76934 \nL 133.223309 121.491407 \nL 135.841934 124.108196 \nL 140.197569 128.94104 \nL 143.592887 133.189625 \nL 147.410804 138.505401 \nL 151.156436 143.894353 \nL 152.795636 145.975521 \nL 154.431425 147.696827 \nL 156.151772 149.079014 \nL 158.029378 150.129921 \nL 160.12529 150.844842 \nL 162.491086 151.206991 \nL 165.169343 151.188143 \nL 168.19202 150.749795 \nL 171.576311 149.845412 \nL 175.317487 148.424701 \nL 179.378265 146.441212 \nL 183.674747 143.864878 \nL 185.868367 142.353975 \nL 188.059954 140.700861 \nL 190.21868 138.915864 \nL 192.308133 137.014943 \nL 194.28634 135.020555 \nL 196.106192 132.962395 \nL 197.71631 130.877758 \nL 199.062483 128.811452 \nL 200.08977 126.815012 \nL 200.745201 124.945074 \nL 200.981075 123.260809 \nL 200.758615 121.820465 \nL 200.051657 120.677166 \nL 198.849957 119.874394 \nL 197.16163 119.441733 \nL 195.0142 119.391478 \nL 192.454005 119.716853 \nL 189.543771 120.392259 \nL 186.35863 121.375643 \nL 182.981 122.612753 \nL 175.981534 125.602804 \nL 169.152335 128.890563 \nL 162.937644 132.119426 \nL 157.584577 135.099456 \nL 153.171103 137.782016 \nL 149.659969 140.201818 \nL 146.95081 142.423944 \nL 144.918679 144.51086 \nL 143.438085 146.508328 \nL 142.395889 148.443254 \nL 141.696837 150.327165 \nL 141.264745 152.161132 \nL 141.04135 153.940225 \nL 141.008265 156.488932 \nL 141.262451 158.868853 \nL 141.765328 161.054377 \nL 142.517541 163.022381 \nL 143.172592 164.201901 \nL 143.969667 165.265892 \nL 144.931919 166.203962 \nL 146.088911 167.002609 \nL 147.477279 167.643917 \nL 149.141559 168.10391 \nL 151.135067 168.350442 \nL 153.520653 168.340518 \nL 156.370972 168.016909 \nL 159.767709 167.304042 \nL 163.798732 166.103397 \nL 168.551529 164.289102 \nL 171.22285 163.104338 \nL 174.100346 161.705527 \nL 177.187471 160.069075 \nL 180.483193 158.17054 \nL 183.980367 155.985572 \nL 187.663735 153.49132 \nL 191.50759 150.668448 \nL 195.473068 147.503915 \nL 199.505232 143.994574 \nL 203.530089 140.151712 \nL 207.451933 136.006397 \nL 211.151524 131.615338 \nL 214.48585 127.066605 \nL 217.290425 122.484095 \nL 219.385236 118.029129 \nL 220.585258 113.897128 \nL 220.716083 110.307217 \nL 219.634108 107.483365 \nL 217.249244 105.627256 \nL 213.546127 104.886068 \nL 208.598466 105.32164 \nL 202.571111 106.889858 \nL 195.706573 109.438445 \nL 188.297213 112.726956 \nL 180.648927 116.4653 \nL 152.522733 130.777567 \nL 146.805779 133.438985 \nL 141.699492 135.657846 \nL 137.180323 137.473599 \nL 129.726679 140.129901 \nL 124.03134 141.885883 \nL 113.605676 144.955752 \nL 104.195395 148.076882 \nL 102.453616 148.322791 \nL 100.673229 148.361727 \nL 98.862844 148.159939 \nL 97.05027 147.688504 \nL 95.281379 146.926424 \nL 93.618467 145.864716 \nL 92.13726 144.511191 \nL 90.92194 142.895439 \nL 90.05766 141.072759 \nL 89.781664 140.108545 \nL 89.620766 139.125517 \nL 89.581304 138.137738 \nL 89.667696 137.160325 \nL 89.882163 136.209079 \nL 90.224515 135.300027 \nL 90.692041 134.448933 \nL 91.279483 133.67078 \nL 91.97913 132.979271 \nL 92.781 132.386344 \nL 93.673135 131.901801 \nL 94.641962 131.533003 \nL 95.672724 131.2847 \nL 96.749917 131.158973 \nL 97.857764 131.155317 \nL 98.980638 131.270807 \nL 101.211992 131.837206 \nL 103.335227 132.798367 \nL 105.262054 134.077728 \nL 106.927277 135.593149 \nL 108.287766 137.265529 \nL 109.31912 139.024076 \nL 110.011264 140.808564 \nL 110.364013 142.569286 \nL 110.383243 144.265572 \nL 110.077987 145.863571 \nL 109.458569 147.333802 \nL 108.535784 148.64875 \nL 107.321067 149.780671 \nL 105.827606 150.699729 \nL 104.072365 151.372565 \nL 102.078968 151.761497 \nL 99.881399 151.824599 \nL 97.528284 151.51717 \nL 95.087368 150.795083 \nL 93.861363 150.266291 \nL 92.649372 149.620638 \nL 91.46666 148.855862 \nL 90.329993 147.971355 \nL 89.257483 146.968583 \nL 88.26831 145.851505 \nL 87.38235 144.626978 \nL 86.619667 143.305102 \nL 85.999908 141.899481 \nL 85.541573 140.427334 \nL 85.261244 138.909445 \nL 85.172753 137.369872 \nL 85.286383 135.835426 \nL 85.608161 134.334903 \nL 86.139303 132.898099 \nL 86.875854 131.554628 \nL 87.80861 130.332674 \nL 88.923308 129.257728 \nL 90.201108 128.351432 \nL 91.61933 127.630649 \nL 93.15239 127.106803 \nL 94.772848 126.78561 \nL 96.452509 126.667116 \nL 98.163456 126.746085 \nL 99.879002 127.012691 \nL 101.574444 127.453364 \nL 103.227635 128.05175 \nL 104.819354 128.789705 \nL 106.333471 129.648189 \nL 107.75696 130.608082 \nL 109.079756 131.650832 \nL 110.294534 132.758962 \nL 112.382547 135.108655 \nL 114.004888 137.54819 \nL 115.168042 139.994825 \nL 115.891348 142.389072 \nL 116.199299 144.689735 \nL 116.116065 146.868583 \nL 115.662045 148.905425 \nL 114.852086 150.783883 \nL 113.69504 152.487809 \nL 112.194427 153.998135 \nL 110.350104 155.290045 \nL 108.160993 156.330311 \nL 105.629017 157.074803 \nL 102.76457 157.466382 \nL 101.214976 157.508089 \nL 99.593761 157.433705 \nL 97.908153 157.232204 \nL 96.167617 156.891941 \nL 94.384209 156.400897 \nL 92.572947 155.747027 \nL 90.75213 154.918751 \nL 88.943618 153.90558 \nL 87.172987 152.698902 \nL 85.469534 151.29292 \nL 83.866074 149.685741 \nL 82.398455 147.880548 \nL 81.104772 145.886809 \nL 80.024175 143.721384 \nL 79.195351 141.409431 \nL 78.654635 138.98489 \nL 78.433894 136.490436 \nL 78.558286 133.976683 \nL 79.044145 131.50059 \nL 79.897195 129.123035 \nL 81.111347 126.9057 \nL 82.6683 124.907495 \nL 84.538036 123.180875 \nL 86.680243 121.768538 \nL 89.046531 120.700809 \nL 91.583196 119.994106 \nL 94.234242 119.650662 \nL 96.944325 119.659393 \nL 99.66133 119.997804 \nL 102.338394 120.6346 \nL 104.93527 121.532572 \nL 107.41903 122.651466 \nL 109.764187 123.950548 \nL 111.952341 125.390652 \nL 113.971524 126.935674 \nL 115.81534 128.55349 \nL 117.482027 130.216431 \nL 118.973521 131.901324 \nL 120.29458 133.589296 \nL 121.451999 135.265383 \nL 123.309344 138.538747 \nL 124.617668 141.661521 \nL 125.449224 144.606015 \nL 125.868335 147.364751 \nL 125.927164 149.9418 \nL 125.664035 152.346854 \nL 125.103253 154.591318 \nL 124.255738 156.685658 \nL 123.120008 158.637469 \nL 121.683269 160.449818 \nL 119.922551 162.119488 \nL 117.805992 163.634824 \nL 115.294542 164.972819 \nL 112.344541 166.095199 \nL 108.911935 166.943243 \nL 107.002406 167.238869 \nL 104.959195 167.431276 \nL 102.780452 167.504317 \nL 100.46643 167.439239 \nL 98.020205 167.21451 \nL 95.44851 166.805738 \nL 92.762716 166.185738 \nL 89.979943 165.324818 \nL 87.124271 164.191354 \nL 84.22799 162.752811 \nL 81.332793 160.977267 \nL 78.49076 158.835604 \nL 75.764944 156.304401 \nL 73.229234 153.369613 \nL 70.967266 150.030849 \nL 69.070004 146.306043 \nL 67.631748 142.235957 \nL 66.744512 137.887788 \nL 66.490895 133.356914 \nL 66.93605 128.765727 \nL 68.119667 124.258783 \nL 70.049266 119.993936 \nL 72.69618 116.129931 \nL 75.995321 112.811951 \nL 79.849235 110.157394 \nL 84.136066 108.244363 \nL 88.720178 107.105127 \nL 93.463661 106.725672 \nL 98.236862 107.051096 \nL 102.926468 107.995425 \nL 107.440457 109.453596 \nL 111.709897 111.313396 \nL 115.68817 113.465523 \nL 119.348465 115.810843 \nL 122.680379 118.26466 \nL 125.686309 120.758304 \nL 128.37806 123.2388 \nL 130.773936 125.667268 \nL 132.896367 128.016729 \nL 136.42071 132.416277 \nL 139.15426 136.37503 \nL 141.289909 139.894975 \nL 143.737122 144.422494 \nL 146.868787 150.284209 \nL 148.069429 152.131053 \nL 149.34885 153.722375 \nL 150.766276 155.065037 \nL 152.376205 156.15641 \nL 154.231175 156.983939 \nL 156.383677 157.524363 \nL 158.887 157.742673 \nL 161.794743 157.59085 \nL 165.158408 157.006713 \nL 169.02228 155.913516 \nL 173.414372 154.221505 \nL 175.809373 153.120571 \nL 178.331916 151.83345 \nL 180.973313 150.348892 \nL 183.719827 148.65734 \nL 186.551571 146.752047 \nL 189.441328 144.630424 \nL 192.353385 142.295726 \nL 195.242424 139.758972 \nL 198.052673 137.041071 \nL 200.717517 134.174996 \nL 203.159783 131.207717 \nL 205.293046 128.201584 \nL 207.024243 125.234631 \nL 208.257811 122.399269 \nL 208.901495 119.79883 \nL 208.873665 117.541583 \nL 208.111598 115.732235 \nL 206.579824 114.461498 \nL 204.277189 113.795027 \nL 201.241144 113.763645 \nL 197.547983 114.357087 \nL 193.308301 115.52309 \nL 188.658018 117.172727 \nL 183.746308 119.191218 \nL 178.7225 121.452186 \nL 168.86865 126.223631 \nL 149.048907 136.266908 \nL 141.246457 140.432786 \nL 137.456512 142.720511 \nL 134.525426 144.798198 \nL 132.233098 146.768632 \nL 130.38798 148.689522 \nL 128.117298 151.526077 \nL 123.960682 156.992143 \nL 122.383012 158.70101 \nL 120.600176 160.32226 \nL 118.554796 161.832513 \nL 116.191668 163.202179 \nL 113.457295 164.391818 \nL 110.301274 165.34739 \nL 108.551152 165.715099 \nL 106.680274 165.994396 \nL 104.685567 166.171671 \nL 102.565606 166.231189 \nL 100.321155 166.154901 \nL 97.955797 165.922325 \nL 95.476717 165.510509 \nL 92.895566 164.89414 \nL 90.229467 164.045874 \nL 87.502068 162.936924 \nL 84.744613 161.538057 \nL 81.996953 159.821065 \nL 79.308319 157.760774 \nL 76.737705 155.337707 \nL 74.353617 152.541344 \nL 72.232928 149.3739 \nL 70.458582 145.85432 \nL 69.115959 142.022095 \nL 68.287837 137.940182 \nL 68.048154 133.696279 \nL 68.455032 129.401582 \nL 69.543893 125.186451 \nL 71.321711 121.192643 \nL 73.76356 117.562686 \nL 76.812331 114.427535 \nL 80.382054 111.894348 \nL 84.364544 110.036496 \nL 88.638386 108.887599 \nL 93.078816 108.440626 \nL 97.566954 108.65193 \nL 101.997192 109.449186 \nL 106.28195 110.741397 \nL 110.353805 112.429191 \nL 114.16532 114.413828 \nL 117.687228 116.603951 \nL 120.905701 118.919892 \nL 123.819266 121.295633 \nL 126.435804 123.67897 \nL 128.769886 126.030487 \nL 130.840538 128.321852 \nL 134.279659 132.654473 \nL 136.93667 136.599433 \nL 138.989991 140.14579 \nL 141.280402 144.768936 \nL 145.463608 153.816247 \nL 146.499733 155.476788 \nL 147.645549 156.925063 \nL 148.948255 158.162151 \nL 150.454402 159.181161 \nL 152.212082 159.966565 \nL 154.272519 160.49312 \nL 156.690921 160.724345 \nL 159.526313 160.610591 \nL 162.839826 160.08689 \nL 166.690595 159.07107 \nL 171.127942 157.463123 \nL 173.576172 156.401476 \nL 176.178004 155.147705 \nL 178.929603 153.686439 \nL 181.822492 152.003032 \nL 184.84231 150.08456 \nL 187.967395 147.921159 \nL 191.167253 145.507743 \nL 194.400947 142.846147 \nL 197.615597 139.947675 \nL 200.745108 136.835945 \nL 203.709477 133.549889 \nL 206.415002 130.146516 \nL 208.755838 126.702935 \nL 210.61734 123.31693 \nL 211.881603 120.105269 \nL 212.435357 117.198857 \nL 212.180012 114.734204 \nL 211.043059 112.841237 \nL 208.989371 111.628353 \nL 206.03033 111.166954 \nL 202.228528 111.478525 \nL 197.696175 112.52773 \nL 192.586569 114.22409 \nL 187.079603 116.432873 \nL 181.363937 118.993275 \nL 170.002121 124.521489 \nL 150.772514 134.107324 \nL 133.618992 142.488429 \nL 130.237474 144.435501 \nL 127.572335 146.243184 \nL 125.396816 147.987865 \nL 122.652978 150.547187 \nL 119.249854 153.82379 \nL 117.430758 155.354778 \nL 115.432442 156.773258 \nL 113.1956 158.041518 \nL 110.671614 159.114309 \nL 107.822927 159.935897 \nL 104.625881 160.436614 \nL 102.894488 160.540227 \nL 101.076511 160.529537 \nL 99.176039 160.390645 \nL 97.199746 160.108471 \nL 95.157363 159.66692 \nL 93.062198 159.049145 \nL 90.931665 158.237998 \nL 88.787788 157.21665 \nL 86.657643 155.969474 \nL 84.573646 154.483151 \nL 82.573637 152.748072 \nL 80.700638 150.759967 \nL 79.002174 148.521736 \nL 77.529098 146.045338 \nL 76.333804 143.353567 \nL 75.467838 140.481463 \nL 74.978957 137.477057 \nL 74.9078 134.401129 \nL 75.284457 131.325732 \nL 76.125314 128.331298 \nL 77.430584 125.502412 \nL 79.18299 122.922504 \nL 81.347861 120.668046 \nL 83.874778 118.802916 \nL 86.700641 117.373767 \nL 89.753811 116.407039 \nL 92.958784 115.907994 \nL 96.240814 115.86187 \nL 99.529956 116.236805 \nL 102.764177 116.987976 \nL 105.891344 118.06229 \nL 108.870111 119.402977 \nL 111.669878 120.953536 \nL 114.270033 122.660813 \nL 116.658759 124.477042 \nL 118.831618 126.360999 \nL 120.790085 128.278348 \nL 122.540163 130.201438 \nL 124.09114 132.108736 \nL 125.454528 133.984056 \nL 127.670616 137.595764 \nL 129.295872 140.98311 \nL 130.433611 144.130218 \nL 131.174578 147.04272 \nL 131.593344 149.737272 \nL 131.747614 152.235157 \nL 131.679132 154.558589 \nL 131.415286 156.728751 \nL 130.970847 158.764765 \nL 130.349522 160.683267 \nL 129.545161 162.498191 \nL 128.542546 164.2206 \nL 127.317785 165.858381 \nL 125.838358 167.415626 \nL 124.062918 168.891528 \nL 121.941009 170.278543 \nL 119.412969 171.559512 \nL 116.410467 172.703302 \nL 112.858379 173.658463 \nL 108.67926 174.344262 \nL 106.331796 174.550017 \nL 103.802298 174.638648 \nL 101.085628 174.585982 \nL 98.179693 174.363306 \nL 95.086665 173.936905 \nL 91.814474 173.267727 \nL 88.378626 172.311314 \nL 84.804312 171.018118 \nL 81.128806 169.334463 \nL 77.403983 167.204381 \nL 73.69877 164.57266 \nL 70.101159 161.3894 \nL 66.719226 157.616297 \nL 63.680499 153.234722 \nL 61.128811 148.255215 \nL 59.217861 142.727521 \nL 58.101007 136.749521 \nL 57.917348 130.472674 \nL 58.775226 124.101311 \nL 60.735433 117.883199 \nL 63.797451 112.090407 \nL 67.892318 106.991726 \nL 72.884867 102.820829 \nL 78.586105 99.746633 \nL 84.773704 97.852749 \nL 91.216391 97.130883 \nL 97.697103 97.489364 \nL 104.030617 98.77364 \nL 110.073441 100.792994 \nL 115.726087 103.347081 \nL 120.929507 106.247358 \nL 125.658189 109.33111 \nL 129.91212 112.467956 \nL 133.709189 115.56046 \nL 137.078829 118.540852 \nL 140.057136 121.365892 \nL 144.997414 126.466337 \nL 148.843761 130.80696 \nL 157.468005 140.930425 \nL 159.349372 142.682075 \nL 161.216556 144.023457 \nL 163.155881 144.980993 \nL 165.231759 145.567186 \nL 167.489524 145.783032 \nL 169.956428 145.620775 \nL 172.64071 145.067403 \nL 175.528706 144.10927 \nL 178.580191 142.738377 \nL 181.722516 140.960743 \nL 184.84471 138.80687 \nL 187.793657 136.3435 \nL 190.375457 133.68436 \nL 191.459257 132.331323 \nL 192.36588 130.995693 \nL 193.066331 129.705567 \nL 193.533346 128.490757 \nL 193.742815 127.381655 \nL 193.675243 126.407839 \nL 193.317227 125.596469 \nL 192.662709 124.970642 \nL 191.713939 124.547813 \nL 190.481974 124.338533 \nL 188.986624 124.345614 \nL 187.255795 124.56391 \nL 185.324261 124.980737 \nL 183.231958 125.576932 \nL 178.738461 127.208038 \nL 174.120498 129.239556 \nL 169.681952 131.462854 \nL 165.648891 133.718034 \nL 162.159689 135.90688 \nL 159.27533 137.984278 \nL 156.99956 139.939862 \nL 155.300356 141.779825 \nL 154.127991 143.513825 \nL 153.428161 145.147684 \nL 153.150497 146.680519 \nL 153.253424 148.104399 \nL 153.706473 149.405125 \nL 154.490919 150.56309 \nL 155.599391 151.553854 \nL 157.034832 152.348181 \nL 158.808983 152.911631 \nL 160.940351 153.203792 \nL 163.451445 153.177437 \nL 166.364867 152.777941 \nL 169.697659 151.943575 \nL 173.453144 150.607553 \nL 177.609419 148.70323 \nL 182.103838 146.174267 \nL 184.442425 144.664839 \nL 186.813645 142.991939 \nL 189.189239 141.160562 \nL 191.534643 139.181165 \nL 193.808625 137.070846 \nL 195.963242 134.854487 \nL 197.944222 132.565728 \nL 199.691966 130.247522 \nL 201.143234 127.952113 \nL 202.233673 125.740115 \nL 202.901181 123.678524 \nL 203.090011 121.837473 \nL 202.755383 120.285767 \nL 201.868133 119.085494 \nL 200.418834 118.286164 \nL 198.420724 117.919285 \nL 195.910769 117.994255 \nL 192.948457 118.496475 \nL 189.612266 119.388275 \nL 185.994136 120.612696 \nL 182.1927 122.099566 \nL 174.426421 125.558047 \nL 166.992393 129.208576 \nL 160.350757 132.669557 \nL 154.723904 135.77128 \nL 150.147089 138.503773 \nL 146.539191 140.938211 \nL 143.762879 143.165266 \nL 141.664989 145.261911 \nL 140.099463 147.280541 \nL 138.938195 149.250307 \nL 138.074543 151.183132 \nL 137.154736 154.014124 \nL 136.315528 157.634513 \nL 134.87807 164.20788 \nL 134.182831 166.433178 \nL 133.300734 168.540351 \nL 132.157199 170.544158 \nL 131.204659 171.830517 \nL 130.061091 173.082307 \nL 128.685686 174.302505 \nL 127.029412 175.49165 \nL 125.033503 176.646031 \nL 122.628007 177.754892 \nL 119.730666 178.796124 \nL 116.246726 179.729701 \nL 112.070699 180.487853 \nL 109.688529 180.768972 \nL 107.092061 180.960762 \nL 104.268782 181.03965 \nL 101.2081 180.976605 \nL 97.902529 180.736221 \nL 94.349274 180.275772 \nL 90.552271 179.544361 \nL 86.524772 178.482323 \nL 82.292509 177.021089 \nL 77.897459 175.083883 \nL 73.402053 172.587735 \nL 68.893577 169.447367 \nL 64.488186 165.581654 \nL 60.333667 160.923267 \nL 56.609613 155.431857 \nL 53.523416 149.110446 \nL 51.300314 142.023538 \nL 50.166282 134.313886 \nL 50.323647 126.213093 \nL 51.92178 118.040089 \nL 55.027695 110.182268 \nL 59.603846 103.057256 \nL 65.500608 97.059326 \nL 72.468251 92.501102 \nL 80.187605 89.565458 \nL 88.312503 88.281273 \nL 96.51323 88.529666 \nL 104.5107 90.077237 \nL 112.095371 92.62484 \nL 119.130632 95.857639 \nL 125.544637 99.485114 \nL 131.316168 103.265605 \nL 136.45945 107.015757 \nL 141.010874 110.608659 \nL 148.536919 117.044568 \nL 156.680713 124.547947 \nL 164.882844 132.233464 \nL 168.009988 134.831797 \nL 169.700604 135.982517 \nL 171.199 136.764864 \nL 172.574471 137.239662 \nL 173.870634 137.454149 \nL 175.110118 137.446682 \nL 176.298343 137.250579 \nL 177.426694 136.89722 \nL 178.961259 136.142475 \nL 180.215677 135.222957 \nL 181.073049 134.269353 \nL 181.36997 133.682859 \nL 181.419169 133.181943 \nL 181.209257 132.801154 \nL 180.743091 132.567262 \nL 180.038974 132.496856 \nL 179.130096 132.595049 \nL 177.485419 133.042026 \nL 175.671574 133.791902 \nL 173.885002 134.755004 \nL 172.301457 135.832955 \nL 171.056833 136.933561 \nL 170.241233 137.977011 \nL 169.96112 138.60696 \nL 169.899384 139.163296 \nL 170.056118 139.629432 \nL 170.42679 139.98978 \nL 171.002791 140.229698 \nL 171.771556 140.335743 \nL 172.716297 140.296173 \nL 174.414494 139.944592 \nL 176.360377 139.231239 \nL 178.419489 138.171503 \nL 180.416951 136.822785 \nL 182.141625 135.294431 \nL 183.026612 134.254016 \nL 183.623142 133.263626 \nL 183.876011 132.385258 \nL 183.747082 131.678322 \nL 183.533815 131.405305 \nL 182.813317 131.044411 \nL 181.726796 130.948556 \nL 180.329147 131.120731 \nL 178.697527 131.543237 \nL 176.923155 132.181676 \nL 174.202279 133.444671 \nL 171.67113 134.929316 \nL 169.559309 136.490058 \nL 168.460235 137.515363 \nL 167.639042 138.497047 \nL 167.10841 139.412978 \nL 166.872069 140.243522 \nL 166.927518 140.970134 \nL 167.268113 141.574409 \nL 167.884394 142.037581 \nL 168.764636 142.340458 \nL 169.894579 142.463738 \nL 171.256459 142.388777 \nL 172.827351 142.098807 \nL 174.576971 141.580721 \nL 176.465097 140.827461 \nL 178.438896 139.841099 \nL 180.430637 138.636433 \nL 182.356472 137.244747 \nL 184.117203 135.71705 \nL 185.601996 134.125636 \nL 186.69594 132.562596 \nL 187.29165 131.133962 \nL 187.374763 130.504432 \nL 187.304005 129.948923 \nL 187.074767 129.479145 \nL 186.68563 129.105068 \nL 186.138628 128.834463 \nL 185.439342 128.672551 \nL 184.596859 128.621761 \nL 182.534679 128.848985 \nL 180.082628 129.480712 \nL 177.398894 130.447621 \nL 174.647934 131.662172 \nL 171.980876 133.035074 \nL 169.521805 134.487847 \nL 167.361552 135.959106 \nL 165.558126 137.404939 \nL 164.141596 138.795543 \nL 163.121036 140.110324 \nL 162.491666 141.333292 \nL 162.241019 142.44954 \nL 162.353652 143.442945 \nL 162.814298 144.29496 \nL 163.609575 144.98406 \nL 164.728443 145.485709 \nL 166.161549 145.772589 \nL 167.899551 145.815179 \nL 169.930453 145.582744 \nL 172.235898 145.045069 \nL 174.786412 144.175191 \nL 177.535671 142.953625 \nL 180.414091 141.374406 \nL 183.3226 139.453005 \nL 186.12797 137.235636 \nL 188.66208 134.808372 \nL 190.728099 132.30303 \nL 191.519939 131.074585 \nL 192.116577 129.895413 \nL 192.494362 128.792052 \nL 192.632826 127.791205 \nL 192.515926 126.918508 \nL 192.133243 126.197176 \nL 191.480984 125.646622 \nL 190.562708 125.281188 \nL 189.389642 125.109175 \nL 187.980542 125.132232 \nL 186.36105 125.345246 \nL 184.562601 125.736767 \nL 180.574497 126.983823 \nL 176.323111 128.698678 \nL 172.103117 130.69051 \nL 168.155702 132.794096 \nL 164.648494 134.892187 \nL 161.675727 136.917288 \nL 159.271374 138.840189 \nL 157.427243 140.654398 \nL 156.110361 142.36265 \nL 155.276914 143.967961 \nL 154.88209 145.468971 \nL 154.886288 146.858312 \nL 155.258551 148.122526 \nL 155.978016 149.242592 \nL 157.034044 150.194417 \nL 158.425452 150.948998 \nL 160.159059 151.472239 \nL 162.247562 151.724531 \nL 164.70658 151.660303 \nL 167.550486 151.227991 \nL 170.786558 150.370968 \nL 174.406787 149.030368 \nL 178.376786 147.15099 \nL 182.621472 144.691906 \nL 184.808095 143.240082 \nL 187.008172 141.643278 \nL 189.193301 139.909017 \nL 191.329571 138.050048 \nL 193.37744 136.085273 \nL 195.291928 134.04058 \nL 197.02323 131.949419 \nL 198.517867 129.85298 \nL 199.720444 127.799785 \nL 200.576061 125.844503 \nL 201.033367 124.045844 \nL 201.048089 122.463515 \nL 200.586804 121.154305 \nL 199.630549 120.167628 \nL 198.177797 119.540965 \nL 196.2463 119.295883 \nL 193.873366 119.435346 \nL 191.114333 119.942873 \nL 188.039287 120.783856 \nL 184.728384 121.908973 \nL 181.266365 123.259187 \nL 174.218204 126.384565 \nL 167.473318 129.70236 \nL 161.429229 132.893926 \nL 156.286812 135.808798 \nL 152.088917 138.425864 \nL 148.776564 140.793076 \nL 146.23868 142.978306 \nL 144.347057 145.041412 \nL 142.977295 147.023837 \nL 142.019497 148.948488 \nL 141.382427 150.82396 \nL 140.993883 152.649556 \nL 140.799149 154.419517 \nL 140.787391 156.952839 \nL 141.043093 159.316273 \nL 141.532013 161.485968 \nL 142.256794 163.440825 \nL 142.886214 164.614124 \nL 143.651445 165.674741 \nL 144.575056 166.613081 \nL 145.685802 167.416596 \nL 147.019303 168.068544 \nL 148.618915 168.546429 \nL 150.536669 168.82 \nL 152.834138 168.848672 \nL 155.582928 168.578242 \nL 158.86427 167.93686 \nL 162.766803 166.830344 \nL 167.381061 165.13745 \nL 172.788235 162.706548 \nL 175.807187 161.158793 \nL 179.039596 159.356939 \nL 182.481492 157.275808 \nL 186.121631 154.89097 \nL 189.939254 152.180511 \nL 193.901452 149.127489 \nL 197.960254 145.723254 \nL 202.049515 141.971687 \nL 206.081966 137.894374 \nL 209.946816 133.536495 \nL 213.508618 128.972946 \nL 216.608297 124.313786 \nL 219.067423 119.707498 \nL 220.696841 115.340164 \nL 221.310501 111.428223 \nL 220.744446 108.202864 \nL 218.879656 105.885347 \nL 215.665382 104.655127 \nL 211.137862 104.616047 \nL 205.428473 105.769116 \nL 198.756618 108.001345 \nL 191.406401 111.097089 \nL 183.6914 114.771364 \nL 168.34245 122.650733 \nL 154.534687 129.668665 \nL 148.503182 132.533479 \nL 143.097175 134.933223 \nL 138.301569 136.898503 \nL 134.078651 138.48391 \nL 127.145237 140.771272 \nL 119.704807 142.844859 \nL 112.128132 144.938741 \nL 104.767811 147.228675 \nL 103.12212 147.528478 \nL 101.462968 147.655171 \nL 99.785684 147.576754 \nL 98.104707 147.265171 \nL 96.451923 146.69879 \nL 94.874918 145.865481 \nL 93.434498 144.76635 \nL 92.200891 143.419709 \nL 91.248111 141.864592 \nL 90.646479 140.162723 \nL 90.453726 138.397653 \nL 90.523014 137.52243 \nL 90.705889 136.670072 \nL 91.002224 135.854401 \nL 91.409765 135.089018 \nL 91.924119 134.386895 \nL 92.53881 133.759961 \nL 93.245424 133.218718 \nL 94.03384 132.771924 \nL 94.892513 132.426345 \nL 95.808809 132.186575 \nL 96.76937 132.054998 \nL 98.768466 132.115122 \nL 100.782181 132.584694 \nL 102.712501 133.416118 \nL 104.477551 134.545507 \nL 106.014579 135.901933 \nL 107.279835 137.414949 \nL 108.246333 139.01961 \nL 108.900482 140.658998 \nL 109.238493 142.28473 \nL 109.263131 143.856107 \nL 108.981155 145.338472 \nL 108.401662 146.701235 \nL 107.535289 147.915885 \nL 106.394344 148.954111 \nL 104.993767 149.786269 \nL 103.352911 150.380276 \nL 101.498061 150.701128 \nL 99.465578 150.711315 \nL 97.30542 150.372544 \nL 95.08459 149.649122 \nL 92.889775 148.513478 \nL 91.834826 147.786549 \nL 90.828036 146.95393 \nL 89.885553 146.018235 \nL 89.02422 144.984308 \nL 88.261223 143.859526 \nL 87.613646 142.654041 \nL 87.097935 141.380917 \nL 86.729298 140.056157 \nL 86.521077 138.698571 \nL 86.484083 137.329492 \nL 86.625989 135.972267 \nL 86.950806 134.651605 \nL 87.458478 133.392735 \nL 88.144662 132.220478 \nL 89.000706 131.158249 \nL 90.013851 130.227083 \nL 91.167643 129.444761 \nL 92.442535 128.825101 \nL 93.81664 128.377498 \nL 95.266551 128.10669 \nL 96.768224 128.012831 \nL 98.297791 128.09178 \nL 99.832313 128.335625 \nL 101.350396 128.733336 \nL 102.832667 129.271508 \nL 104.262087 129.935118 \nL 105.624124 130.708254 \nL 106.906785 131.57475 \nL 109.198153 133.525081 \nL 111.086188 135.669458 \nL 112.549898 137.909887 \nL 113.588703 140.169235 \nL 114.214399 142.38956 \nL 114.444591 144.528452 \nL 114.297901 146.55478 \nL 113.790878 148.444496 \nL 112.936411 150.176891 \nL 111.743408 151.731286 \nL 110.217596 153.084125 \nL 108.36337 154.206404 \nL 106.186736 155.06135 \nL 103.69948 155.602553 \nL 100.92473 155.772847 \nL 99.441575 155.698125 \nL 97.903983 155.504596 \nL 96.321376 155.182617 \nL 94.705401 154.722433 \nL 93.070196 154.1145 \nL 91.43262 153.349926 \nL 89.812421 152.420995 \nL 88.232314 151.321823 \nL 86.717907 150.049121 \nL 85.297474 148.603042 \nL 84.001494 146.988073 \nL 82.861964 145.21392 \nL 81.91141 143.296306 \nL 81.181666 141.257569 \nL 80.702393 139.126944 \nL 80.499444 136.940407 \nL 80.593181 134.740013 \nL 80.996873 132.572605 \nL 81.715367 130.487986 \nL 82.744179 128.536566 \nL 84.069163 126.766709 \nL 85.666822 125.221979 \nL 87.505302 123.938648 \nL 89.545968 122.943659 \nL 91.745417 122.253323 \nL 94.057729 121.872902 \nL 96.436723 121.797016 \nL 98.838022 122.010834 \nL 101.220752 122.491862 \nL 103.548797 123.212011 \nL 105.791565 124.139738 \nL 107.924303 125.242102 \nL 109.928041 126.486457 \nL 111.789216 127.841823 \nL 113.499123 129.27982 \nL 115.05324 130.775242 \nL 116.45051 132.306301 \nL 117.692641 133.854637 \nL 118.783445 135.405136 \nL 120.533366 138.466637 \nL 121.752355 141.422762 \nL 122.496442 144.235798 \nL 122.817358 146.888249 \nL 122.757747 149.37485 \nL 122.348826 151.696707 \nL 121.609661 153.857043 \nL 120.54743 155.858067 \nL 119.158295 157.698401 \nL 117.428694 159.370723 \nL 115.337089 160.859223 \nL 112.856351 162.136604 \nL 109.957262 163.160401 \nL 108.342367 163.558703 \nL 106.613734 163.868526 \nL 104.769882 164.078234 \nL 102.810716 164.174339 \nL 100.737997 164.141393 \nL 98.555894 163.961914 \nL 96.271643 163.6164 \nL 93.896275 163.083454 \nL 91.445425 162.340098 \nL 88.940191 161.362295 \nL 86.407981 160.125795 \nL 83.883315 158.607315 \nL 81.408405 156.78619 \nL 79.033456 154.646458 \nL 76.816468 152.17942 \nL 74.822348 149.386585 \nL 73.121164 146.282769 \nL 71.785393 142.899085 \nL 70.886109 139.285322 \nL 70.488204 135.511178 \nL 70.64498 131.665689 \nL 71.392666 127.854426 \nL 72.745561 124.194154 \nL 74.692667 120.80518 \nL 77.196519 117.802103 \nL 80.194677 115.284129 \nL 83.603861 113.326453 \nL 87.326232 111.974174 \nL 91.256896 111.239628 \nL 95.291538 111.103632 \nL 99.333114 111.520024 \nL 103.29688 112.422615 \nL 107.113444 113.733076 \nL 110.72986 115.368639 \nL 114.109153 117.24853 \nL 117.228748 119.298681 \nL 120.078281 121.454637 \nL 122.657206 123.662793 \nL 124.972471 125.880405 \nL 127.036446 128.07478 \nL 128.865166 130.221963 \nL 131.891055 134.313937 \nL 134.205012 138.085355 \nL 135.958049 141.521232 \nL 137.285211 144.635879 \nL 138.722085 148.766219 \nL 140.325818 154.455474 \nL 141.398798 158.152841 \nL 142.278678 160.513561 \nL 143.332019 162.551507 \nL 144.177181 163.734018 \nL 145.171818 164.771619 \nL 146.350062 165.655498 \nL 147.751173 166.371186 \nL 149.420859 166.897315 \nL 151.41246 167.203843 \nL 153.78785 167.24968 \nL 156.617782 166.979596 \nL 159.981086 166.320469 \nL 163.961803 165.177085 \nL 168.642657 163.428231 \nL 171.268199 162.281223 \nL 174.092431 160.92486 \nL 177.118127 159.336755 \nL 180.343666 157.493833 \nL 183.761472 155.373254 \nL 187.356144 152.95377 \nL 191.102228 150.21767 \nL 194.961715 147.153382 \nL 198.881323 143.758894 \nL 202.789766 140.045967 \nL 206.595349 136.045092 \nL 210.184367 131.810861 \nL 213.420995 127.427165 \nL 216.14956 123.011191 \nL 218.20012 118.714744 \nL 219.398242 114.721094 \nL 219.579392 111.23541 \nL 218.607422 108.467613 \nL 216.395365 106.607767 \nL 212.92491 105.796886 \nL 208.259898 106.098767 \nL 202.54889 107.480589 \nL 196.013883 109.809661 \nL 188.925907 112.869944 \nL 181.572365 116.395617 \nL 154.197013 130.282686 \nL 148.567781 132.948056 \nL 143.521985 135.200723 \nL 135.09469 138.61033 \nL 128.598788 140.920055 \nL 116.78269 144.887917 \nL 113.234722 146.346981 \nL 107.568765 148.810825 \nL 105.726893 149.403389 \nL 103.81914 149.816569 \nL 101.828204 150.007505 \nL 99.758435 149.933447 \nL 97.635591 149.55381 \nL 95.507148 148.833366 \nL 93.442277 147.746989 \nL 91.530503 146.286111 \nL 90.664677 145.41898 \nL 89.877788 144.466459 \nL 89.184407 143.435585 \nL 88.598957 142.335799 \nL 88.135244 141.179014 \nL 87.805946 139.9796 \nL 87.62208 138.754245 \nL 87.592467 137.521672 \nL 87.723231 136.302212 \nL 88.017383 135.117238 \nL 88.474505 133.988482 \nL 89.090574 132.937264 \nL 89.857952 131.983692 \nL 90.765555 131.145882 \nL 91.799179 130.439248 \nL 92.94199 129.875933 \nL 94.17511 129.464413 \nL 95.478301 129.209301 \nL 96.830662 129.111375 \nL 98.211307 129.167784 \nL 99.599993 129.372435 \nL 100.977641 129.716491 \nL 102.326764 130.188961 \nL 103.631757 130.777305 \nL 106.057282 132.247214 \nL 108.171101 134.01597 \nL 109.921536 135.979457 \nL 111.282902 138.047496 \nL 112.248611 140.146695 \nL 112.824397 142.21983 \nL 113.022583 144.223229 \nL 112.857762 146.123315 \nL 112.343957 147.893059 \nL 111.493116 149.508604 \nL 110.314843 150.94629 \nL 108.817197 152.17997 \nL 107.00855 153.178718 \nL 104.900512 153.904918 \nL 102.511984 154.312935 \nL 99.874397 154.34878 \nL 98.477001 154.208243 \nL 97.03806 153.951375 \nL 95.567969 153.570063 \nL 94.079174 153.056429 \nL 92.586361 152.403185 \nL 91.106572 151.60405 \nL 89.659273 150.654265 \nL 88.26629 149.5512 \nL 86.951635 148.294998 \nL 85.741156 146.889285 \nL 84.662004 145.341858 \nL 83.741888 143.665312 \nL 83.008132 141.877529 \nL 82.486554 140.001939 \nL 82.200189 138.067491 \nL 82.167969 136.108222 \nL 82.403427 134.162391 \nL 82.91356 132.271194 \nL 83.697986 130.477057 \nL 84.74847 128.821644 \nL 86.048946 127.343736 \nL 87.576042 126.077167 \nL 89.30009 125.049056 \nL 91.186513 124.27846 \nL 93.197519 123.775665 \nL 95.293875 123.542094 \nL 97.436649 123.570872 \nL 99.588753 123.847893 \nL 101.716197 124.353259 \nL 103.78899 125.062932 \nL 105.781691 125.950373 \nL 107.673607 126.988069 \nL 109.448721 128.14883 \nL 111.095403 129.406813 \nL 112.605968 130.738219 \nL 113.976148 132.121755 \nL 115.204525 133.538821 \nL 116.29198 134.973544 \nL 118.056 137.845253 \nL 119.302384 140.65785 \nL 120.073926 143.361982 \nL 120.413284 145.929366 \nL 120.357435 148.345313 \nL 119.934588 150.602808 \nL 119.162874 152.697939 \nL 118.050239 154.626337 \nL 116.595193 156.380213 \nL 114.788247 157.945592 \nL 112.614073 159.299508 \nL 110.054616 160.406882 \nL 107.093585 161.217036 \nL 105.459415 161.489636 \nL 103.722944 161.659982 \nL 101.885971 161.715752 \nL 99.952157 161.643075 \nL 97.927512 161.426546 \nL 95.820939 161.049321 \nL 93.644844 160.493344 \nL 91.415767 159.739725 \nL 89.155022 158.769327 \nL 86.889283 157.563581 \nL 84.651082 156.105624 \nL 82.479084 154.381723 \nL 80.418071 152.383053 \nL 78.518477 150.107723 \nL 76.835382 147.563016 \nL 75.426818 144.7676 \nL 74.351352 141.75349 \nL 73.664937 138.567415 \nL 73.417187 135.271158 \nL 73.647348 131.940557 \nL 74.380363 128.662821 \nL 75.623577 125.532169 \nL 77.364602 122.643972 \nL 79.5708 120.087948 \nL 82.190629 117.941296 \nL 85.156799 116.26268 \nL 88.390863 115.088018 \nL 91.808669 114.428655 \nL 95.325896 114.27213 \nL 98.863028 114.585282 \nL 102.349237 115.318993 \nL 105.724919 116.413749 \nL 108.942879 117.805199 \nL 111.968336 119.428994 \nL 114.778076 121.224568 \nL 117.359031 123.137655 \nL 119.706592 125.121667 \nL 121.822888 127.138118 \nL 123.715149 129.156322 \nL 125.394273 131.1527 \nL 126.873602 133.109818 \nL 129.292695 136.861184 \nL 131.095232 140.356531 \nL 132.398834 143.583014 \nL 133.307 146.550431 \nL 133.905574 149.279561 \nL 134.262411 151.79529 \nL 134.428771 154.122836 \nL 134.39824 157.312386 \nL 134.093852 160.200681 \nL 133.543088 162.844598 \nL 132.736382 165.290014 \nL 132.037288 166.828575 \nL 131.187051 168.304505 \nL 130.159668 169.725248 \nL 128.922238 171.096377 \nL 127.434099 172.420901 \nL 125.645791 173.698045 \nL 123.497943 174.92125 \nL 120.92031 176.074997 \nL 117.831374 177.129945 \nL 114.139246 178.035619 \nL 109.745191 178.709727 \nL 107.254131 178.921923 \nL 104.552037 179.0231 \nL 101.629773 178.986505 \nL 98.481129 178.77972 \nL 95.104235 178.363884 \nL 91.503365 177.693009 \nL 87.691186 176.713506 \nL 83.691518 175.364151 \nL 79.542538 173.576768 \nL 75.300386 171.277992 \nL 71.042887 168.392642 \nL 66.872928 164.84917 \nL 62.920826 160.587759 \nL 59.344584 155.571262 \nL 56.326774 149.798808 \nL 54.066644 143.320921 \nL 52.766397 136.253809 \nL 52.61147 128.789156 \nL 53.746286 121.194744 \nL 56.249141 113.801547 \nL 60.111606 106.975047 \nL 65.228691 101.072936 \nL 71.40426 96.396385 \nL 78.372426 93.146296 \nL 85.830754 91.396037 \nL 93.477386 91.088019 \nL 101.043402 92.054037 \nL 108.314161 94.0521 \nL 115.137689 96.80882 \nL 121.421949 100.057025 \nL 127.125152 103.562262 \nL 132.243318 107.136538 \nL 136.798233 110.641196 \nL 140.827476 113.98257 \nL 147.496037 119.97657 \nL 152.637824 124.952544 \nL 163.387894 135.640642 \nL 165.383666 137.288831 \nL 167.194438 138.48756 \nL 168.91547 139.29648 \nL 170.611654 139.759124 \nL 172.322117 139.907644 \nL 174.063529 139.767293 \nL 175.832329 139.360644 \nL 177.606215 138.711676 \nL 179.345333 137.84966 \nL 180.993791 136.812642 \nL 182.482181 135.650114 \nL 183.731778 134.424202 \nL 184.660888 133.208628 \nL 185.193429 132.084801 \nL 185.269104 131.13492 \nL 185.123652 130.748865 \nL 184.853682 130.432747 \nL 184.460355 130.192842 \nL 183.947265 130.033758 \nL 182.588253 129.967173 \nL 180.851436 130.232166 \nL 178.840101 130.799674 \nL 176.673779 131.619304 \nL 174.474464 132.629139 \nL 171.35413 134.362908 \nL 169.521597 135.584012 \nL 167.960268 136.805979 \nL 166.708348 137.995948 \nL 165.786168 139.128597 \nL 165.20067 140.183373 \nL 164.949772 141.141969 \nL 165.026037 141.986444 \nL 165.419316 142.698026 \nL 166.118353 143.256508 \nL 167.111334 143.640151 \nL 168.385491 143.82598 \nL 169.925778 143.790521 \nL 171.712734 143.511007 \nL 173.71955 142.967286 \nL 175.908476 142.144548 \nL 178.226818 141.037074 \nL 180.602983 139.653031 \nL 182.943408 138.02004 \nL 185.131563 136.190781 \nL 187.030615 134.247145 \nL 188.491409 132.300805 \nL 189.010884 131.368481 \nL 189.366835 130.487768 \nL 189.544531 129.67728 \nL 189.532114 128.955051 \nL 189.321329 128.337745 \nL 188.908148 127.839853 \nL 188.293249 127.472941 \nL 187.482295 127.245011 \nL 186.485952 127.16005 \nL 185.319635 127.217843 \nL 182.559218 127.740441 \nL 179.394509 128.736108 \nL 176.0431 130.089997 \nL 172.714732 131.676017 \nL 169.586283 133.380374 \nL 166.788393 135.1152 \nL 164.403646 136.821464 \nL 162.472923 138.464122 \nL 161.005745 140.024071 \nL 159.991233 141.490253 \nL 159.407624 142.85368 \nL 159.229547 144.103743 \nL 159.432997 145.226305 \nL 159.998263 146.202991 \nL 160.911244 147.011056 \nL 162.163478 147.623493 \nL 163.75111 148.009188 \nL 165.672873 148.133202 \nL 167.927059 147.957304 \nL 170.507285 147.441175 \nL 173.39685 146.544751 \nL 176.561481 145.232344 \nL 179.940502 143.479383 \nL 183.436935 141.282314 \nL 186.907984 138.671858 \nL 190.158705 135.728397 \nL 191.626345 134.174084 \nL 192.943344 132.596089 \nL 194.073445 131.023463 \nL 194.980036 129.489196 \nL 195.627662 128.029348 \nL 195.98381 126.681722 \nL 196.020897 125.484142 \nL 195.718285 124.472319 \nL 195.064184 123.67755 \nL 194.05719 123.124424 \nL 192.707249 122.828797 \nL 191.035879 122.79637 \nL 189.075515 123.022124 \nL 186.868017 123.490635 \nL 184.462432 124.177445 \nL 181.912257 125.051188 \nL 176.59683 127.215692 \nL 171.331711 129.697738 \nL 166.441539 132.259435 \nL 162.136544 134.747119 \nL 158.517917 137.089016 \nL 155.60277 139.271121 \nL 153.354038 141.309166 \nL 151.706507 143.227136 \nL 150.585838 145.044977 \nL 149.920775 146.77365 \nL 149.650047 148.414649 \nL 149.725611 149.961496 \nL 150.11362 151.401607 \nL 150.794118 152.717778 \nL 151.760101 153.888963 \nL 153.016331 154.890322 \nL 154.578074 155.692618 \nL 156.469741 156.261086 \nL 158.723267 156.553935 \nL 161.37591 156.52064 \nL 164.466914 156.100369 \nL 168.032285 155.221042 \nL 172.096622 153.800003 \nL 176.66065 151.747903 \nL 179.119427 150.457627 \nL 181.68312 148.978222 \nL 184.335961 147.302352 \nL 187.056138 145.425847 \nL 189.81475 143.349042 \nL 192.574822 141.078325 \nL 195.290444 138.627909 \nL 197.906217 136.021675 \nL 200.357194 133.294977 \nL 202.569522 130.496104 \nL 204.462071 127.687073 \nL 205.949281 124.943329 \nL 206.945332 122.351901 \nL 207.369726 120.007584 \nL 207.15397 118.007013 \nL 206.248824 116.440758 \nL 204.631223 115.384114 \nL 202.309719 114.887919 \nL 199.327205 114.970968 \nL 195.760035 115.615853 \nL 191.71314 116.769515 \nL 187.311651 118.348864 \nL 182.690263 120.250653 \nL 173.309114 124.580889 \nL 160.420995 131.031012 \nL 150.235274 136.323624 \nL 145.056284 139.163784 \nL 141.004404 141.608378 \nL 137.874821 143.803038 \nL 135.459114 145.858645 \nL 133.568095 147.844743 \nL 132.040107 149.796911 \nL 130.14347 152.684781 \nL 127.230457 157.348048 \nL 125.938513 159.13008 \nL 124.485143 160.84654 \nL 122.816414 162.48402 \nL 120.878654 164.026167 \nL 118.616695 165.451067 \nL 115.973176 166.727677 \nL 112.889311 167.811002 \nL 109.307812 168.635851 \nL 107.314391 168.92355 \nL 105.179086 169.108985 \nL 102.898712 169.174617 \nL 100.472318 169.1 \nL 97.901953 168.861535 \nL 95.193597 168.432319 \nL 92.358262 167.78215 \nL 89.413263 166.877765 \nL 86.383617 165.683407 \nL 83.30353 164.161886 \nL 80.217843 162.276257 \nL 77.183282 159.992262 \nL 74.269241 157.281652 \nL 71.557785 154.126465 \nL 69.142518 150.524099 \nL 67.125837 146.492936 \nL 65.614324 142.077824 \nL 64.712066 137.354529 \nL 64.512169 132.431929 \nL 65.087094 127.450626 \nL 66.479091 122.576944 \nL 68.692326 117.99192 \nL 71.688449 113.876002 \nL 75.38698 110.391405 \nL 79.670999 107.665106 \nL 84.397479 105.775777 \nL 89.410518 104.747199 \nL 94.555134 104.54943 \nL 99.689268 105.106971 \nL 104.692411 106.311795 \nL 109.470197 108.038213 \nL 113.955274 110.156878 \nL 118.105331 112.545892 \nL 121.899446 115.098173 \nL 125.333735 117.725138 \nL 128.41706 120.357409 \nL 131.167229 122.943494 \nL 133.607872 125.447315 \nL 137.670212 130.123701 \nL 140.831589 134.299787 \nL 143.311696 137.973468 \nL 146.979614 143.966077 \nL 149.182464 147.452214 \nL 150.601605 149.364702 \nL 152.081504 150.974564 \nL 153.693185 152.292244 \nL 155.498859 153.316938 \nL 157.554929 154.036389 \nL 159.913769 154.426583 \nL 162.624006 154.451382 \nL 165.728936 154.062379 \nL 169.262432 153.199522 \nL 173.241589 151.793481 \nL 177.655106 149.771283 \nL 180.009449 148.507909 \nL 182.446562 147.067456 \nL 184.948735 145.446093 \nL 187.492475 143.643464 \nL 190.047699 141.663898 \nL 192.577028 139.517779 \nL 195.035271 137.223012 \nL 197.369264 134.806472 \nL 199.518219 132.305253 \nL 201.414741 129.767509 \nL 202.98676 127.252559 \nL 204.160437 124.829943 \nL 204.864165 122.577113 \nL 205.033536 120.575548 \nL 204.616946 118.905278 \nL 203.581328 117.638161 \nL 201.917215 116.830597 \nL 199.642265 116.516748 \nL 196.80239 116.703545 \nL 193.469986 117.368652 \nL 189.739181 118.462117 \nL 185.718655 119.911693 \nL 181.523095 121.630983 \nL 173.045189 125.518698 \nL 165.052212 129.489538 \nL 154.926802 134.795431 \nL 149.626445 137.75622 \nL 145.421666 140.330951 \nL 142.159811 142.635515 \nL 139.66298 144.773485 \nL 137.758454 146.818056 \nL 136.29301 148.812047 \nL 135.137607 150.775123 \nL 133.761059 153.670019 \nL 130.959611 160.103141 \nL 129.52105 162.675503 \nL 128.378994 164.319346 \nL 127.04255 165.902886 \nL 125.466814 167.421779 \nL 123.601627 168.868506 \nL 121.390254 170.229879 \nL 118.76865 171.483517 \nL 115.665696 172.592877 \nL 112.005163 173.500275 \nL 109.941712 173.852139 \nL 107.710664 174.117322 \nL 105.30407 174.277918 \nL 102.715636 174.312383 \nL 99.941521 174.195028 \nL 96.98139 173.895524 \nL 93.839701 173.378514 \nL 90.527302 172.603385 \nL 87.063327 171.52434 \nL 83.477378 170.090969 \nL 79.811915 168.249517 \nL 76.12472 165.945157 \nL 72.491129 163.125529 \nL 69.005643 159.745873 \nL 65.782323 155.775877 \nL 62.953249 151.208138 \nL 60.664215 146.067736 \nL 59.067009 140.421719 \nL 58.307976 134.386692 \nL 58.513329 128.131971 \nL 59.772704 121.875747 \nL 62.123641 115.87225 \nL 65.540325 110.389694 \nL 69.929949 105.681387 \nL 75.138682 101.954921 \nL 80.966956 99.346088 \nL 87.191269 97.903678 \nL 93.58793 97.588567 \nL 99.953952 98.286701 \nL 106.121586 99.831799 \nL 111.965215 102.03177 \nL 117.401378 104.693052 \nL 122.383972 107.63901 \nL 126.897002 110.720892 \nL 130.94684 113.822052 \nL 134.555201 116.857054 \nL 137.753442 119.767768 \nL 143.068612 125.088847 \nL 147.20147 129.669827 \nL 151.819279 135.214297 \nL 156.266071 140.527802 \nL 158.161064 142.45415 \nL 160.011236 143.961419 \nL 161.911505 145.080104 \nL 163.934186 145.826115 \nL 166.132407 146.202825 \nL 168.54177 146.2035 \nL 171.180082 145.814256 \nL 174.045057 145.018042 \nL 177.110006 143.800114 \nL 180.317869 142.155626 \nL 183.574397 140.099615 \nL 186.742191 137.679182 \nL 189.638381 134.986225 \nL 190.916109 133.581104 \nL 192.039881 132.167356 \nL 192.978352 130.772092 \nL 193.700631 129.425213 \nL 194.177646 128.15852 \nL 194.383682 127.004461 \nL 194.29801 125.99461 \nL 193.906464 125.157888 \nL 193.202848 124.518748 \nL 192.189964 124.095442 \nL 190.880137 123.898634 \nL 189.295127 123.930528 \nL 187.465362 124.184656 \nL 185.428555 124.646396 \nL 183.227769 125.294236 \nL 178.519855 127.038629 \nL 173.70786 129.181302 \nL 169.108843 131.500728 \nL 164.953272 133.832028 \nL 161.376962 136.078423 \nL 158.434294 138.199637 \nL 156.120991 140.190868 \nL 154.397289 142.063029 \nL 153.206874 143.829156 \nL 152.490263 145.497245 \nL 152.19325 147.067754 \nL 152.271565 148.533666 \nL 152.692963 149.881549 \nL 153.437677 151.092644 \nL 154.497927 152.143521 \nL 155.876862 153.006151 \nL 157.58713 153.647449 \nL 159.649067 154.02839 \nL 162.088268 154.102932 \nL 164.932197 153.81704 \nL 168.205206 153.108347 \nL 171.921183 151.907214 \nL 176.072879 150.140515 \nL 180.616985 147.739976 \nL 183.00806 146.285581 \nL 185.454536 144.657444 \nL 187.931516 142.856721 \nL 190.407683 140.889477 \nL 192.844692 138.767976 \nL 195.196808 136.512031 \nL 197.41092 134.150294 \nL 199.427053 131.721283 \nL 201.179619 129.273939 \nL 202.599481 126.867422 \nL 203.61699 124.569843 \nL 204.165971 122.455696 \nL 204.188544 120.601828 \nL 203.640361 119.08202 \nL 202.495805 117.960626 \nL 200.752314 117.285922 \nL 198.433115 117.084249 \nL 195.587617 117.356043 \nL 192.289105 118.074747 \nL 188.629809 119.189121 \nL 184.713966 120.628716 \nL 180.649863 122.311646 \nL 172.484933 126.074027 \nL 164.823505 129.896044 \nL 155.143265 135.020302 \nL 150.08119 137.907201 \nL 146.068413 140.440608 \nL 142.960808 142.725616 \nL 140.591009 144.85575 \nL 138.796572 146.896914 \nL 137.433443 148.887451 \nL 136.380499 150.844704 \nL 135.172657 153.72467 \nL 131.860577 162.64384 \nL 130.545436 165.066568 \nL 129.479923 166.614462 \nL 128.220233 168.10893 \nL 126.723873 169.5489 \nL 124.941784 170.930375 \nL 122.817002 172.2442 \nL 120.283679 173.47285 \nL 117.266826 174.585725 \nL 113.683435 175.53237 \nL 109.44619 176.232818 \nL 107.055811 176.454485 \nL 104.471768 176.564374 \nL 101.686882 176.537679 \nL 98.696857 176.344646 \nL 95.501534 175.949966 \nL 92.106491 175.312274 \nL 88.524991 174.383878 \nL 84.780334 173.110878 \nL 80.908549 171.433914 \nL 76.961352 169.289868 \nL 73.009154 166.614871 \nL 69.143684 163.349029 \nL 65.479729 159.443212 \nL 62.155107 154.868066 \nL 59.327905 149.625009 \nL 57.169939 143.758293 \nL 55.855662 137.366352 \nL 55.546415 130.609622 \nL 56.37109 123.71141 \nL 58.405856 116.948494 \nL 61.656943 110.629699 \nL 66.05109 105.06353 \nL 71.437393 100.519846 \nL 77.601667 97.193587 \nL 84.291002 95.179381 \nL 91.243165 94.463476 \nL 98.214303 94.934465 \nL 104.999533 96.408823 \nL 111.443777 98.663689 \nL 117.443262 101.468741 \nL 122.940193 104.611218 \nL 127.913791 107.91139 \nL 132.370477 111.22889 \nL 136.334967 114.462055 \nL 139.843127 117.543094 \nL 145.659601 123.106628 \nL 150.16691 127.803217 \nL 159.914205 138.405269 \nL 161.883706 140.156285 \nL 163.764606 141.468817 \nL 165.649768 142.383471 \nL 167.605297 142.926044 \nL 169.674072 143.111033 \nL 171.877667 142.94534 \nL 174.216671 142.432414 \nL 176.669608 141.577062 \nL 179.190904 140.391135 \nL 181.708586 138.900082 \nL 184.122952 137.149951 \nL 186.307734 135.213738 \nL 188.11574 133.195216 \nL 189.390711 131.227629 \nL 189.781489 130.310586 \nL 189.986095 129.464624 \nL 189.991718 128.709169 \nL 189.789297 128.062237 \nL 189.374222 127.539563 \nL 188.746875 127.153757 \nL 187.912962 126.913607 \nL 186.883549 126.823571 \nL 185.674819 126.883544 \nL 184.307529 127.08892 \nL 181.198075 127.897533 \nL 177.777526 129.143062 \nL 174.276132 130.692714 \nL 170.90018 132.416163 \nL 167.811163 134.20628 \nL 165.118337 135.98754 \nL 162.88224 137.713865 \nL 161.124627 139.360665 \nL 159.840465 140.915639 \nL 159.009117 142.371171 \nL 158.603281 143.719242 \nL 158.595364 144.948668 \nL 158.961512 146.043932 \nL 159.683734 146.984888 \nL 160.75056 147.746855 \nL 162.15654 148.300729 \nL 163.900775 148.613132 \nL 165.984487 148.64665 \nL 168.407512 148.360426 \nL 171.163499 147.711555 \nL 174.233509 146.657868 \nL 177.57782 145.162868 \nL 181.126015 143.203706 \nL 184.766062 140.782851 \nL 188.334275 137.94338 \nL 190.024605 136.395481 \nL 191.609669 134.786161 \nL 193.053568 133.139454 \nL 194.318193 131.484312 \nL 195.364367 129.854273 \nL 196.153333 128.286754 \nL 196.648591 126.821807 \nL 196.818 125.500397 \nL 196.63603 124.362223 \nL 196.085948 123.44319 \nL 195.161704 122.772826 \nL 193.869306 122.371837 \nL 192.227382 122.250258 \nL 190.266831 122.406412 \nL 188.029489 122.826909 \nL 185.565893 123.487812 \nL 182.93239 124.356781 \nL 177.390699 126.56496 \nL 171.85145 129.137655 \nL 166.67513 131.807499 \nL 162.098495 134.399108 \nL 158.23751 136.830092 \nL 155.113991 139.084928 \nL 152.688765 141.183071 \nL 150.890775 143.154057 \nL 149.638308 145.023165 \nL 148.852532 146.805697 \nL 148.465071 148.506441 \nL 148.421505 150.121474 \nL 148.682368 151.640429 \nL 149.22276 153.048374 \nL 150.031325 154.32688 \nL 151.109009 155.454335 \nL 152.467855 156.405515 \nL 154.129846 157.150608 \nL 156.125727 157.653743 \nL 158.49356 157.871176 \nL 161.276627 157.749295 \nL 164.520058 157.222757 \nL 168.265311 156.213318 \nL 172.541282 154.630435 \nL 174.880606 153.593219 \nL 177.350478 152.375497 \nL 179.943742 150.96543 \nL 182.648622 149.352552 \nL 185.44766 147.528764 \nL 188.316551 145.489583 \nL 191.222966 143.235702 \nL 194.125394 140.774808 \nL 196.972183 138.123651 \nL 199.70093 135.310201 \nL 202.238471 132.375733 \nL 204.501762 129.376456 \nL 206.399938 126.384301 \nL 207.837832 123.486307 \nL 208.721139 120.78206 \nL 208.963179 118.378721 \nL 208.492882 116.38348 \nL 207.26324 114.893752 \nL 205.259051 113.986181 \nL 202.502442 113.706119 \nL 199.05482 114.05973 \nL 195.014211 115.010839 \nL 190.507915 116.483829 \nL 185.681421 118.372491 \nL 180.68545 120.553249 \nL 170.741107 125.297659 \nL 153.693587 133.895062 \nL 144.518688 138.640062 \nL 139.994581 141.160629 \nL 136.491867 143.370562 \nL 133.77833 145.407154 \nL 131.641774 147.358389 \nL 129.90039 149.270519 \nL 127.707887 152.097918 \nL 124.264265 156.652148 \nL 122.720799 158.376142 \nL 120.983927 160.016709 \nL 118.995669 161.55139 \nL 116.700476 162.952121 \nL 114.044448 164.181803 \nL 110.97631 165.189763 \nL 107.45079 165.906131 \nL 105.505578 166.126267 \nL 103.435375 166.235235 \nL 101.239984 166.215928 \nL 98.921762 166.048841 \nL 96.486339 165.711996 \nL 93.943455 165.180985 \nL 91.307909 164.429205 \nL 88.600594 163.428325 \nL 85.849583 162.149118 \nL 83.091172 160.562712 \nL 80.370774 158.642396 \nL 77.743481 156.366006 \nL 75.274109 153.718957 \nL 73.036427 150.697844 \nL 71.111377 147.31439 \nL 69.583964 143.599415 \nL 68.538793 139.606208 \nL 68.054255 135.41257 \nL 68.195756 131.120694 \nL 69.008669 126.854099 \nL 70.511993 122.751241 \nL 72.693835 118.955921 \nL 75.509763 115.60542 \nL 78.884684 112.817946 \nL 82.718242 110.681489 \nL 86.89303 109.246061 \nL 91.284317 108.520706 \nL 95.769736 108.475637 \nL 100.237524 109.04881 \nL 104.592397 110.155328 \nL 108.75871 111.697879 \nL 112.681129 113.5764 \nL 116.323393 115.695824 \nL 119.665861 117.971369 \nL 122.7025 120.331389 \nL 125.437812 122.718171 \nL 127.884013 125.087344 \nL 130.058609 127.406355 \nL 131.982444 129.652579 \nL 135.169093 133.874129 \nL 137.628331 137.699154 \nL 139.533995 141.129384 \nL 141.681879 145.596197 \nL 144.805871 152.514883 \nL 145.797673 154.327362 \nL 146.864784 155.921986 \nL 148.056542 157.305111 \nL 149.419767 158.475388 \nL 151.001352 159.423317 \nL 152.850272 160.130455 \nL 155.018967 160.568196 \nL 157.563902 160.696118 \nL 160.544985 160.459964 \nL 164.023197 159.789511 \nL 168.055468 158.596959 \nL 172.685311 156.777047 \nL 175.230575 155.595049 \nL 177.927203 154.211209 \nL 180.768503 152.610559 \nL 183.742363 150.779466 \nL 186.829906 148.706839 \nL 190.003993 146.385697 \nL 193.227641 143.815158 \nL 196.452459 141.002848 \nL 199.617273 137.967636 \nL 202.64721 134.742614 \nL 205.45352 131.377967 \nL 207.93461 127.943337 \nL 209.978694 124.529003 \nL 211.4685 121.245074 \nL 212.288301 118.217895 \nL 212.333221 115.582876 \nL 211.520268 113.473583 \nL 209.799811 112.007656 \nL 207.165737 111.271261 \nL 203.661969 111.304911 \nL 199.383266 112.094063 \nL 194.469201 113.567518 \nL 189.091629 115.605064 \nL 183.437739 118.05334 \nL 172.02012 123.526902 \nL 148.345031 135.296211 \nL 134.376248 142.109273 \nL 130.840748 144.096577 \nL 128.066487 145.92466 \nL 125.81972 147.679878 \nL 123.02526 150.250686 \nL 118.752384 154.338972 \nL 116.886556 155.841571 \nL 114.821504 157.220954 \nL 112.501268 158.43746 \nL 109.880364 159.443069 \nL 106.924856 160.178216 \nL 103.616058 160.568273 \nL 101.829107 160.605654 \nL 99.95733 160.52042 \nL 98.00629 160.297904 \nL 95.984418 159.922322 \nL 93.903518 159.377005 \nL 91.779307 158.644769 \nL 89.631928 157.708459 \nL 87.486441 156.551723 \nL 85.373178 155.160044 \nL 83.327928 153.52201 \nL 81.391839 151.630883 \nL 79.61094 149.486362 \nL 78.035161 147.096482 \nL 76.7168 144.479488 \nL 75.708357 141.665426 \nL 75.059785 138.697231 \nL 74.815273 135.630904 \nL 75.009782 132.53458 \nL 75.665703 129.486178 \nL 76.790036 126.56968 \nL 78.372551 123.87016 \nL 80.385272 121.468049 \nL 82.78353 119.433289 \nL 85.5085 117.820186 \nL 88.491012 116.663643 \nL 91.656112 115.977365 \nL 94.927813 115.75418 \nL 98.233458 115.968349 \nL 101.507261 116.579331 \nL 104.692757 117.536399 \nL 107.744121 118.783355 \nL 110.626457 120.262822 \nL 113.315291 121.919715 \nL 115.795506 123.703706 \nL 118.059974 125.570713 \nL 120.108084 127.483538 \nL 121.944298 129.411855 \nL 123.576846 131.331751 \nL 125.016577 133.225013 \nL 127.36857 136.882249 \nL 129.107701 140.320447 \nL 130.339593 143.518056 \nL 131.158416 146.477723 \nL 131.642508 149.214788 \nL 131.853263 151.750177 \nL 131.835826 154.106289 \nL 131.620642 156.304753 \nL 131.225222 158.365272 \nL 130.655768 160.305124 \nL 129.908476 162.138949 \nL 128.970422 163.87861 \nL 127.820035 165.532958 \nL 126.427215 167.107349 \nL 124.753154 168.602719 \nL 122.750021 170.014004 \nL 120.360734 171.327652 \nL 117.519177 172.517779 \nL 114.151496 173.540512 \nL 110.179498 174.325893 \nL 107.942912 174.597921 \nL 105.527839 174.766792 \nL 102.927517 174.810966 \nL 100.137569 174.704657 \nL 97.157052 174.417329 \nL 93.989772 173.913251 \nL 90.645895 173.151221 \nL 87.143887 172.0846 \nL 83.512769 170.661808 \nL 79.794584 168.82754 \nL 76.046981 166.524995 \nL 72.345617 163.699411 \nL 68.785928 160.303248 \nL 65.483733 156.303163 \nL 62.573841 151.688762 \nL 60.205859 146.482565 \nL 58.536428 140.750062 \nL 57.717535 134.607933 \nL 57.881326 128.227825 \nL 59.122902 121.832883 \nL 61.483898 115.68488 \nL 64.940359 110.061529 \nL 69.398538 105.226311 \nL 74.700801 101.39605 \nL 80.641435 98.713213 \nL 86.98946 97.229547 \nL 93.513579 96.904899 \nL 100.004144 97.620728 \nL 106.288382 99.204015 \nL 112.237532 101.455091 \nL 117.766706 104.17322 \nL 122.829713 107.175826 \nL 127.411366 110.309849 \nL 131.519321 113.45593 \nL 135.176756 116.527275 \nL 138.416476 119.465411 \nL 143.796943 124.81629 \nL 147.978332 129.399268 \nL 153.907999 136.423508 \nL 157.147754 140.137959 \nL 159.062567 142.01112 \nL 160.928619 143.460798 \nL 162.839736 144.518815 \nL 164.866289 145.202393 \nL 167.058529 145.516542 \nL 169.448171 145.456821 \nL 172.048089 145.012657 \nL 174.850079 144.171663 \nL 177.820844 142.925434 \nL 180.896659 141.277216 \nL 183.977736 139.251618 \nL 186.924062 136.905728 \nL 189.555534 134.339796 \nL 190.687695 133.019258 \nL 191.659929 131.703933 \nL 192.443848 130.419971 \nL 193.012191 129.195545 \nL 193.340107 128.059899 \nL 193.406541 127.042125 \nL 193.195659 126.169728 \nL 192.69814 125.467049 \nL 191.912247 124.953739 \nL 190.844529 124.643391 \nL 189.510026 124.542529 \nL 187.931917 124.650101 \nL 186.140626 124.957595 \nL 184.172412 125.449735 \nL 179.868499 126.900822 \nL 175.355521 128.801364 \nL 170.942857 130.943911 \nL 166.872497 133.159108 \nL 163.302772 135.335027 \nL 160.313572 137.413874 \nL 157.923717 139.376308 \nL 156.111656 141.223547 \nL 154.833961 142.963354 \nL 154.039368 144.601513 \nL 153.678251 146.137953 \nL 153.708294 147.565779 \nL 154.097406 148.871734 \nL 154.824771 150.03699 \nL 155.880706 151.037732 \nL 157.265772 151.845318 \nL 158.989322 152.425984 \nL 161.067506 152.740198 \nL 163.520538 152.741943 \nL 166.368866 152.378226 \nL 169.627668 151.58942 \nL 173.298989 150.311307 \nL 177.360726 148.480045 \nL 181.751884 146.041853 \nL 184.036839 144.584961 \nL 186.35424 142.969357 \nL 188.677049 141.199761 \nL 190.972244 139.286044 \nL 193.200486 137.244331 \nL 195.316062 135.098091 \nL 197.267243 132.879026 \nL 198.997176 130.627639 \nL 200.445457 128.39323 \nL 201.550448 126.233089 \nL 202.25238 124.210718 \nL 202.497164 122.392887 \nL 202.240679 120.845581 \nL 201.453165 119.628998 \nL 200.123151 118.79213 \nL 198.260359 118.367626 \nL 195.896949 118.367743 \nL 193.086689 118.782291 \nL 189.901954 119.579091 \nL 186.428819 120.70709 \nL 182.760845 122.10172 \nL 175.213063 125.405442 \nL 167.924411 128.954677 \nL 161.361677 132.365293 \nL 155.764674 135.452397 \nL 151.188068 138.189007 \nL 147.567181 140.633528 \nL 144.776711 142.869347 \nL 142.671549 144.970375 \nL 141.110775 146.98837 \nL 139.969547 148.952897 \nL 139.143453 150.876518 \nL 138.548599 152.760887 \nL 137.951059 155.50414 \nL 137.47452 158.973411 \nL 136.242847 169.712307 \nL 135.674294 172.023969 \nL 135.087918 173.643952 \nL 134.309818 175.186633 \nL 133.272822 176.671631 \nL 131.886207 178.118948 \nL 130.708542 179.072042 \nL 129.275265 180.02054 \nL 127.52965 180.965837 \nL 125.40284 181.904702 \nL 122.811891 182.82592 \nL 119.658135 183.704954 \nL 115.826577 184.495581 \nL 111.187753 185.11701 \nL 108.522743 185.325003 \nL 105.604684 185.434636 \nL 102.417999 185.416155 \nL 98.949611 185.232502 \nL 95.190587 184.837984 \nL 91.138359 184.176932 \nL 86.799633 183.182484 \nL 82.194099 181.775752 \nL 77.359036 179.865761 \nL 72.354743 177.350757 \nL 67.270616 174.121648 \nL 62.231285 170.068602 \nL 57.401809 165.091876 \nL 52.990279 159.117761 \nL 49.24553 152.119882 \nL 46.44722 144.144578 \nL 44.885771 135.336732 \nL 44.83114 125.959456 \nL 46.492503 116.398534 \nL 49.975412 107.142328 \nL 55.2472 98.732089 \nL 62.12302 91.686689 \nL 70.281029 86.417449 \nL 79.306366 83.156708 \nL 88.753006 81.922745 \nL 98.205977 82.53178 \nL 107.327643 84.650666 \nL 115.879608 87.870642 \nL 123.721484 91.779094 \nL 130.794275 96.012568 \nL 137.097693 100.284936 \nL 142.668414 104.393581 \nL 151.845578 111.669522 \nL 175.292136 131.109391 \nL 175.785624 131.832112 \nL 175.95785 132.438175 \nL 175.883223 132.981 \nL 175.449019 133.747852 \nL 174.316903 135.011077 \nL 173.090615 136.478734 \nL 172.704146 137.320342 \nL 172.724866 137.819782 \nL 173.028324 138.169274 \nL 173.604718 138.340663 \nL 174.423429 138.313188 \nL 175.433757 138.076688 \nL 176.954208 137.446383 \nL 178.469263 136.517936 \nL 179.445723 135.703472 \nL 180.158928 134.875407 \nL 180.509269 134.127152 \nL 180.506041 133.719114 \nL 180.30202 133.41234 \nL 179.899945 133.225415 \nL 179.314325 133.169744 \nL 178.150498 133.337352 \nL 176.756928 133.783849 \nL 175.282664 134.455131 \nL 173.44965 135.572942 \nL 172.33954 136.477521 \nL 171.559597 137.358225 \nL 171.165783 138.151313 \nL 171.131284 138.603491 \nL 171.280949 138.976905 \nL 171.611076 139.257933 \nL 172.113757 139.43429 \nL 173.163875 139.479733 \nL 174.515293 139.239546 \nL 176.084454 138.703525 \nL 177.759765 137.885335 \nL 179.400264 136.830579 \nL 180.8401 135.622852 \nL 181.902376 134.383609 \nL 182.318814 133.612841 \nL 182.45611 132.940305 \nL 182.290383 132.408963 \nL 181.815745 132.053928 \nL 181.046565 131.898504 \nL 180.01741 131.951631 \nL 178.780458 132.207404 \nL 176.679627 132.92634 \nL 174.500086 133.953839 \nL 172.471136 135.168604 \nL 170.777546 136.454906 \nL 169.545947 137.714774 \nL 169.018693 138.500043 \nL 168.739094 139.21771 \nL 168.710029 139.849275 \nL 168.929083 140.377202 \nL 169.38969 140.784533 \nL 170.081725 141.054787 \nL 170.991544 141.172223 \nL 172.101478 141.122452 \nL 173.388838 140.893412 \nL 174.824552 140.476756 \nL 176.371592 139.869641 \nL 177.983439 139.076898 \nL 179.602961 138.113397 \nL 181.162152 137.006343 \nL 182.583306 135.796999 \nL 183.782198 134.541141 \nL 184.673661 133.307467 \nL 185.179519 132.173314 \nL 185.238209 131.21755 \nL 185.087622 130.829364 \nL 184.814617 130.511285 \nL 184.420241 130.269364 \nL 183.907966 130.108025 \nL 182.555554 130.035739 \nL 180.830741 130.293076 \nL 178.835137 130.85107 \nL 176.686516 131.659837 \nL 174.50525 132.658151 \nL 171.409873 134.374781 \nL 169.591371 135.585167 \nL 168.041545 136.797194 \nL 166.798559 137.977997 \nL 165.882896 139.10216 \nL 165.301748 140.149006 \nL 165.053303 141.100121 \nL 165.130349 141.937498 \nL 165.522898 142.642349 \nL 166.219766 143.194513 \nL 167.209113 143.572365 \nL 168.478042 143.753102 \nL 170.011301 143.713492 \nL 171.789155 143.431105 \nL 173.784479 142.886195 \nL 175.959217 142.064441 \nL 178.260454 140.960671 \nL 180.61655 139.583598 \nL 182.934191 137.961309 \nL 185.097523 136.146709 \nL 186.970939 134.221495 \nL 188.407103 132.296572 \nL 188.915357 131.375643 \nL 189.261241 130.506465 \nL 189.430354 129.70736 \nL 189.41116 128.996057 \nL 189.195686 128.388894 \nL 188.780143 127.900059 \nL 188.16538 127.540827 \nL 187.357154 127.318971 \nL 186.366128 127.238313 \nL 185.20763 127.298546 \nL 182.469524 127.820541 \nL 179.333959 128.809187 \nL 176.015504 130.151473 \nL 172.72087 131.72345 \nL 169.624474 133.413139 \nL 166.855346 135.133872 \nL 164.495314 136.827127 \nL 162.585195 138.457873 \nL 161.134905 140.006719 \nL 160.134188 141.46221 \nL 159.561971 142.814979 \nL 159.393528 144.054096 \nL 159.605375 145.165198 \nL 160.178172 146.129744 \nL 161.098013 146.924892 \nL 162.356437 147.523587 \nL 163.949382 147.894747 \nL 165.875141 148.003544 \nL 168.131303 147.812015 \nL 170.71049 147.280317 \nL 173.594686 146.369158 \nL 176.747994 145.044037 \nL 180.107866 143.282068 \nL 183.575389 141.08194 \nL 187.006108 138.477063 \nL 190.204236 135.550658 \nL 191.64113 134.009943 \nL 192.92477 132.44919 \nL 194.01937 130.897484 \nL 194.888983 129.387683 \nL 195.499008 127.955492 \nL 195.81797 126.638151 \nL 195.819459 125.472663 \nL 195.484116 124.493725 \nL 194.80143 123.731459 \nL 193.771203 123.209171 \nL 192.404413 122.941477 \nL 190.72334 122.932979 \nL 188.760842 123.177785 \nL 186.558822 123.659936 \nL 184.165988 124.354812 \nL 179.020368 126.254232 \nL 173.745286 128.596216 \nL 168.704766 131.118824 \nL 164.159356 133.631037 \nL 160.257055 136.026406 \nL 157.050647 138.267242 \nL 154.526019 140.357425 \nL 152.630042 142.317807 \nL 151.292569 144.170043 \nL 150.441456 145.928668 \nL 150.011647 147.598848 \nL 149.94992 149.177118 \nL 150.216799 150.653119 \nL 150.786781 152.011237 \nL 151.647659 153.231681 \nL 152.799438 154.290807 \nL 154.253089 155.160785 \nL 156.029199 155.808678 \nL 158.156419 156.195114 \nL 160.669422 156.272664 \nL 163.605942 155.984275 \nL 167.002187 155.262145 \nL 170.885686 154.027874 \nL 175.264371 152.195243 \nL 177.632706 151.027172 \nL 180.110534 149.67775 \nL 182.685174 148.138625 \nL 185.33859 146.403936 \nL 188.046405 144.471462 \nL 190.776901 142.344023 \nL 193.490113 140.031065 \nL 196.137103 137.550433 \nL 198.659622 134.930139 \nL 200.990323 132.209998 \nL 203.053771 129.442791 \nL 204.768503 126.694638 \nL 206.050317 124.044111 \nL 206.816892 121.579685 \nL 206.993663 119.395243 \nL 206.520581 117.583488 \nL 205.359095 116.227765 \nL 203.498395 115.393021 \nL 200.959739 115.117383 \nL 197.797811 115.405984 \nL 194.098356 116.228618 \nL 189.972103 117.522142 \nL 185.545707 119.19756 \nL 180.951129 121.150601 \nL 171.75111 125.466739 \nL 159.313194 131.731799 \nL 149.599669 136.829255 \nL 144.689657 139.582539 \nL 140.858732 141.976213 \nL 137.904518 144.146565 \nL 135.625464 146.194195 \nL 133.840527 148.180533 \nL 132.395906 150.135861 \nL 130.596548 153.028138 \nL 127.814268 157.693723 \nL 126.574325 159.476885 \nL 125.17657 161.196571 \nL 123.56876 162.841129 \nL 121.698366 164.39638 \nL 119.510738 165.84314 \nL 116.948215 167.15383 \nL 113.95053 168.287893 \nL 110.457136 169.185717 \nL 108.506773 169.520321 \nL 106.412517 169.760855 \nL 104.169826 169.890769 \nL 101.776056 169.89061 \nL 99.231177 169.737718 \nL 96.53865 169.405989 \nL 93.706497 168.865762 \nL 90.748547 168.083883 \nL 87.685864 167.024078 \nL 84.548294 165.647748 \nL 81.376079 163.915335 \nL 78.221357 161.788433 \nL 75.149337 159.232799 \nL 72.238866 156.222369 \nL 69.581969 152.744278 \nL 67.28192 148.804679 \nL 65.449432 144.434872 \nL 64.196654 139.696902 \nL 63.628997 134.687444 \nL 63.835208 129.538526 \nL 64.876789 124.413696 \nL 66.77832 119.498807 \nL 69.520641 114.987521 \nL 73.038668 111.063001 \nL 77.224916 107.878687 \nL 81.938617 105.541687 \nL 87.01899 104.102234 \nL 92.300261 103.551311 \nL 97.625723 103.826529 \nL 102.858702 104.824546 \nL 107.889208 106.416863 \nL 112.636253 108.465769 \nL 117.046652 110.837774 \nL 121.091527 113.413135 \nL 124.761702 116.091176 \nL 128.062957 118.792013 \nL 131.011704 121.455693 \nL 133.631394 124.039761 \nL 135.949688 126.516164 \nL 139.801641 131.087015 \nL 142.806341 135.119847 \nL 146.202162 140.210852 \nL 150.34461 146.535708 \nL 151.850978 148.433197 \nL 153.41561 150.010295 \nL 155.112861 151.278226 \nL 157.006709 152.236315 \nL 159.153694 152.871978 \nL 161.60447 153.160684 \nL 164.403677 153.066056 \nL 167.587696 152.540368 \nL 171.179716 151.526241 \nL 175.181383 149.960493 \nL 179.560288 147.781869 \nL 181.867658 146.447323 \nL 184.232935 144.944724 \nL 186.63428 143.274385 \nL 189.043997 141.440829 \nL 191.427945 139.453961 \nL 193.745141 137.330311 \nL 195.947645 135.094242 \nL 197.980906 132.778983 \nL 199.784677 130.4273 \nL 201.294651 128.091575 \nL 202.444968 125.833001 \nL 203.171566 123.719685 \nL 203.416359 121.82345 \nL 203.131947 120.215344 \nL 202.286478 118.960146 \nL 200.868003 118.110293 \nL 198.887681 117.700156 \nL 196.381104 117.741572 \nL 193.407298 118.221627 \nL 190.04526 119.103341 \nL 186.388396 120.329342 \nL 182.537557 121.828055 \nL 174.651426 125.331926 \nL 167.087728 129.039768 \nL 157.322201 134.174386 \nL 152.128091 137.118653 \nL 147.971965 139.71111 \nL 144.735314 142.042401 \nL 142.265012 144.202749 \nL 140.405362 146.260211 \nL 139.014738 148.256908 \nL 137.972369 150.213651 \nL 137.179453 152.136805 \nL 136.290461 154.953458 \nL 133.72697 164.325657 \nL 132.775195 166.592109 \nL 131.557916 168.745891 \nL 130.550945 170.125251 \nL 129.347181 171.463192 \nL 127.904808 172.761414 \nL 126.17407 174.018799 \nL 124.095854 175.229398 \nL 121.60043 176.379368 \nL 118.606702 177.442343 \nL 115.022606 178.372502 \nL 110.747844 179.0944 \nL 108.319485 179.342109 \nL 105.681021 179.488464 \nL 102.822045 179.508406 \nL 99.734614 179.371391 \nL 96.414543 179.040581 \nL 92.863079 178.472048 \nL 89.089025 177.61417 \nL 85.111368 176.407349 \nL 80.962408 174.784333 \nL 76.691355 172.671501 \nL 72.368188 169.991562 \nL 68.087407 166.668247 \nL 63.971081 162.633505 \nL 60.170162 157.837673 \nL 56.862895 152.262599 \nL 54.248788 145.937011 \nL 52.536835 138.952185 \nL 51.927344 131.474612 \nL 52.588174 123.750995 \nL 54.628283 116.100675 \nL 58.073699 108.891926 \nL 62.852404 102.502441 \nL 68.793884 97.269628 \nL 75.645737 93.44148 \nL 83.104859 91.14075 \nL 90.855889 90.352287 \nL 98.607613 90.936383 \nL 106.119512 92.662721 \nL 113.214819 95.254237 \nL 119.780871 98.429044 \nL 125.760687 101.932325 \nL 131.140337 105.554722 \nL 135.935955 109.138424 \nL 140.182573 112.574406 \nL 147.215029 118.763201 \nL 152.633592 123.90579 \nL 163.841396 134.885415 \nL 165.862261 136.565406 \nL 167.663373 137.788317 \nL 169.344191 138.620195 \nL 170.972837 139.109948 \nL 172.591089 139.294352 \nL 174.218137 139.202619 \nL 175.853316 138.860585 \nL 177.478113 138.294569 \nL 179.057888 137.534897 \nL 180.543839 136.618864 \nL 181.875745 135.592901 \nL 182.986039 134.513341 \nL 183.805509 133.445307 \nL 184.270634 132.459326 \nL 184.33193 131.625631 \nL 184.201574 131.285965 \nL 183.962189 131.006811 \nL 183.614919 130.793529 \nL 182.611387 130.579017 \nL 181.239805 130.655985 \nL 179.576605 131.013582 \nL 177.717686 131.619818 \nL 174.79129 132.891428 \nL 171.996068 134.437952 \nL 169.600606 136.094755 \nL 168.316551 137.195677 \nL 167.320605 138.259075 \nL 166.628885 139.261484 \nL 166.246895 140.182743 \nL 166.172832 141.004213 \nL 166.400259 141.707478 \nL 166.919954 142.273564 \nL 167.720851 142.682664 \nL 168.790123 142.914262 \nL 170.112423 142.947705 \nL 171.668369 142.76319 \nL 173.432341 142.343341 \nL 175.36971 141.675423 \nL 177.433735 140.754305 \nL 179.562481 139.58624 \nL 181.676421 138.193168 \nL 183.677572 136.61705 \nL 185.451357 134.923189 \nL 186.872347 133.201034 \nL 187.814805 131.560716 \nL 188.070846 130.809203 \nL 188.167777 130.123949 \nL 188.097001 129.519531 \nL 187.853081 129.009154 \nL 187.434187 128.60406 \nL 186.842395 128.31298 \nL 186.083835 128.141701 \nL 185.168621 128.092784 \nL 182.926951 128.355798 \nL 180.263898 129.059345 \nL 177.356425 130.122473 \nL 174.386928 131.444896 \nL 171.52066 132.926526 \nL 168.890556 134.481781 \nL 166.591075 136.0461 \nL 164.679671 137.575465 \nL 163.18317 139.041749 \nL 162.106112 140.426694 \nL 161.438974 141.716528 \nL 161.165077 142.898046 \nL 161.265704 143.956217 \nL 161.72346 144.872977 \nL 162.52406 145.626751 \nL 163.65678 146.192415 \nL 165.1138 146.541512 \nL 166.888492 146.642676 \nL 168.972717 146.462466 \nL 171.353002 145.966811 \nL 174.005544 145.123543 \nL 176.889998 143.906453 \nL 179.942239 142.301415 \nL 183.066764 140.314864 \nL 186.130129 137.984402 \nL 188.957838 135.390179 \nL 190.218299 134.033198 \nL 191.338162 132.663984 \nL 192.287546 131.307393 \nL 193.036817 129.991043 \nL 193.55781 128.744539 \nL 193.825222 127.59839 \nL 193.818106 126.582643 \nL 193.521345 125.725309 \nL 192.926997 125.050666 \nL 192.035344 124.577645 \nL 190.855513 124.31845 \nL 189.405547 124.27761 \nL 187.711876 124.451585 \nL 185.808188 124.829083 \nL 183.7338 125.391975 \nL 179.246261 126.976553 \nL 174.598532 128.987423 \nL 170.103434 131.210462 \nL 165.997629 133.478158 \nL 162.429047 135.685381 \nL 159.465767 137.782343 \nL 157.115899 139.756398 \nL 155.349459 141.613245 \nL 154.117069 143.363083 \nL 153.363716 145.01268 \nL 153.037734 146.562153 \nL 153.096006 148.004471 \nL 153.506485 149.326197 \nL 154.248965 150.508404 \nL 155.314765 151.527305 \nL 156.705751 152.354373 \nL 158.432877 152.955941 \nL 160.514254 153.292475 \nL 162.972519 153.317691 \nL 165.831153 152.977852 \nL 169.109136 152.211852 \nL 172.813227 150.952879 \nL 176.926949 149.132991 \nL 181.395624 146.692393 \nL 183.730915 145.226669 \nL 186.107326 143.595588 \nL 188.498369 141.802589 \nL 190.871333 139.856241 \nL 193.186846 137.771437 \nL 195.39871 135.570587 \nL 197.454129 133.28468 \nL 199.294498 130.95402 \nL 200.85686 128.628426 \nL 202.076204 126.366628 \nL 202.888591 124.234616 \nL 203.235108 122.302766 \nL 203.066417 120.641687 \nL 202.347537 119.316987 \nL 201.062271 118.383391 \nL 199.216643 117.878965 \nL 196.840621 117.820431 \nL 193.987649 118.200444 \nL 190.731763 118.987627 \nL 187.162523 120.129558 \nL 183.378412 121.558337 \nL 179.479668 123.197833 \nL 171.70881 126.80816 \nL 164.466585 130.447827 \nL 158.129641 133.808513 \nL 152.846616 136.785602 \nL 148.602178 139.408173 \nL 145.287341 141.761879 \nL 142.753477 143.936617 \nL 140.84624 146.002173 \nL 139.423641 148.00282 \nL 138.363794 149.961144 \nL 137.56662 151.884709 \nL 136.693698 154.701055 \nL 135.649171 159.164166 \nL 134.644166 163.280297 \nL 133.902706 165.577622 \nL 132.97009 167.754801 \nL 131.766805 169.824888 \nL 130.767116 171.152564 \nL 129.569025 172.442699 \nL 128.130369 173.697456 \nL 126.400708 174.916189 \nL 124.319866 176.093435 \nL 121.816593 177.215844 \nL 118.807711 178.257483 \nL 115.198371 179.172769 \nL 110.884652 179.885997 \nL 108.430288 180.131359 \nL 105.760617 180.276322 \nL 102.864535 180.295365 \nL 99.733381 180.157278 \nL 96.362268 179.824294 \nL 92.7518 179.251235 \nL 88.910291 178.38482 \nL 84.856493 177.163313 \nL 80.622893 175.516792 \nL 76.25951 173.368396 \nL 71.837997 170.637078 \nL 67.455684 167.242439 \nL 63.238882 163.112264 \nL 59.344439 158.193223 \nL 55.958173 152.464831 \nL 53.288592 145.95586 \nL 51.554451 138.761178 \nL 50.96539 131.055409 \nL 51.696488 123.098349 \nL 53.859981 115.226733 \nL 57.479664 107.828514 \nL 62.475139 101.300026 \nL 68.662064 95.992396 \nL 75.770969 92.159162 \nL 83.481418 89.918949 \nL 91.463451 89.243771 \nL 99.416005 89.975447 \nL 107.094077 91.86361 \nL 114.321075 94.613204 \nL 120.987755 97.928866 \nL 127.042202 101.547556 \nL 132.475926 105.2565 \nL 137.310037 108.898107 \nL 141.583686 112.365869 \nL 148.647571 118.554936 \nL 156.304746 125.783127 \nL 164.116889 133.27207 \nL 166.254253 135.106491 \nL 168.087679 136.453418 \nL 169.730877 137.39424 \nL 171.263576 137.990198 \nL 172.737393 138.287869 \nL 174.180517 138.324052 \nL 175.601344 138.130053 \nL 176.991356 137.735345 \nL 178.327579 137.170669 \nL 179.57505 136.470517 \nL 181.181661 135.255248 \nL 182.003112 134.404057 \nL 182.566854 133.581416 \nL 182.830512 132.841796 \nL 182.764671 132.236718 \nL 182.358035 131.809784 \nL 181.620942 131.591949 \nL 180.586288 131.598184 \nL 179.307473 131.826335 \nL 177.08521 132.542047 \nL 174.734424 133.607217 \nL 172.510811 134.889673 \nL 170.622736 136.262274 \nL 169.213722 137.618556 \nL 168.582732 138.471163 \nL 168.212891 139.257609 \nL 168.107842 139.958826 \nL 168.265585 140.556773 \nL 168.679918 141.033825 \nL 169.341283 141.372562 \nL 170.236969 141.555896 \nL 171.350688 141.567586 \nL 172.661573 141.393152 \nL 174.142723 141.021196 \nL 175.759379 140.44523 \nL 177.467013 139.665941 \nL 179.209654 138.693858 \nL 180.918941 137.552128 \nL 182.514498 136.278973 \nL 183.906368 134.92908 \nL 185.000104 133.572995 \nL 185.704736 132.293652 \nL 185.943256 131.179453 \nL 185.87034 130.710982 \nL 185.664205 130.314261 \nL 185.324122 129.997149 \nL 184.852065 129.765813 \nL 184.252771 129.624469 \nL 182.704811 129.618021 \nL 180.768596 129.969037 \nL 178.562056 130.638232 \nL 176.21797 131.564798 \nL 173.868232 132.678167 \nL 171.630657 133.909 \nL 169.600493 135.196824 \nL 167.847186 136.493384 \nL 166.415483 137.762328 \nL 165.329347 138.976682 \nL 164.597087 140.115532 \nL 164.216489 141.160943 \nL 164.179206 142.095604 \nL 164.474039 142.901291 \nL 165.08902 143.558068 \nL 166.012362 144.043987 \nL 167.23233 144.335263 \nL 168.736175 144.406796 \nL 170.508111 144.233176 \nL 172.526448 143.790266 \nL 174.759891 143.057632 \nL 177.163173 142.022065 \nL 179.672347 140.682322 \nL 182.200469 139.055104 \nL 184.634728 137.181692 \nL 186.836713 135.134095 \nL 188.64782 133.018552 \nL 189.354597 131.977518 \nL 189.901629 130.973491 \nL 190.270187 130.027096 \nL 190.443911 129.159124 \nL 190.409691 128.389695 \nL 190.158524 127.737315 \nL 189.686246 127.217933 \nL 188.994073 126.84406 \nL 188.088915 126.624027 \nL 186.98335 126.561483 \nL 185.695321 126.655202 \nL 184.247468 126.899219 \nL 180.980685 127.793709 \nL 177.419052 129.126718 \nL 173.802466 130.755976 \nL 170.341574 132.545917 \nL 167.197392 134.38836 \nL 164.475299 136.209661 \nL 162.230294 137.966959 \nL 160.478325 139.638908 \nL 159.209201 141.215793 \nL 158.398189 142.691716 \nL 158.01506 144.05963 \nL 158.030384 145.308768 \nL 158.419398 146.423675 \nL 159.163971 147.384075 \nL 160.253124 148.164984 \nL 161.682436 148.736871 \nL 163.452512 149.065726 \nL 165.566525 149.113211 \nL 168.026678 148.837124 \nL 170.829358 148.192647 \nL 173.958611 147.134979 \nL 177.377689 145.624197 \nL 181.018666 143.633309 \nL 184.77074 141.160258 \nL 188.469063 138.244051 \nL 190.229866 136.647781 \nL 191.887689 134.983404 \nL 193.405194 133.275337 \nL 194.742467 131.553295 \nL 195.85816 129.852043 \nL 196.711037 128.210705 \nL 197.261901 126.671515 \nL 197.475845 125.278028 \nL 197.324671 124.072805 \nL 196.789311 123.09469 \nL 195.861938 122.375968 \nL 194.547538 121.939654 \nL 192.864649 121.797358 \nL 190.845068 121.948042 \nL 188.532489 122.377947 \nL 185.980135 123.061745 \nL 183.247621 123.964885 \nL 177.49146 126.263847 \nL 171.738082 128.9377 \nL 166.368025 131.700598 \nL 161.628269 134.367893 \nL 157.636379 136.856235 \nL 154.41016 139.154103 \nL 151.90378 141.286531 \nL 150.0389 143.288177 \nL 148.727021 145.188221 \nL 147.883436 147.004644 \nL 147.434862 148.744053 \nL 147.322798 150.403903 \nL 147.50433 151.975114 \nL 147.95155 153.444214 \nL 148.650376 154.794619 \nL 149.599218 156.007094 \nL 150.807756 157.05945 \nL 152.295879 157.925689 \nL 154.092753 158.574603 \nL 156.235822 158.968007 \nL 158.769478 159.058616 \nL 161.742881 158.787804 \nL 165.206235 158.083533 \nL 169.204451 156.859182 \nL 173.766757 155.014578 \nL 176.260436 153.825881 \nL 178.890421 152.441499 \nL 181.647423 150.848856 \nL 184.516659 149.037235 \nL 187.476598 146.999001 \nL 190.497647 144.731147 \nL 193.540797 142.237181 \nL 196.556392 139.529324 \nL 199.483154 136.630937 \nL 202.24775 133.578999 \nL 204.76517 130.426308 \nL 206.940274 127.24299 \nL 208.670875 124.116739 \nL 209.852644 121.151094 \nL 210.38592 118.461147 \nL 210.184226 116.166265 \nL 209.183821 114.379878 \nL 207.353082 113.197196 \nL 204.700092 112.682522 \nL 201.276666 112.858596 \nL 197.177352 113.700652 \nL 192.532843 115.137169 \nL 187.498475 117.05796 \nL 182.239734 119.328278 \nL 171.674997 124.357753 \nL 143.57259 138.45047 \nL 138.722119 141.000365 \nL 134.965326 143.192632 \nL 132.048914 145.186179 \nL 129.742252 147.082822 \nL 127.848451 148.936036 \nL 125.435075 151.671586 \nL 122.386657 155.201308 \nL 120.73036 156.875739 \nL 118.89043 158.458525 \nL 116.806149 159.921087 \nL 114.422654 161.228521 \nL 111.690429 162.336267 \nL 108.566866 163.185825 \nL 106.847892 163.490462 \nL 105.020547 163.699733 \nL 103.083935 163.80013 \nL 101.039078 163.77635 \nL 98.889426 163.611213 \nL 96.641456 163.285663 \nL 94.305347 162.778891 \nL 91.895742 162.068595 \nL 89.432546 161.131488 \nL 86.941732 159.94406 \nL 84.456093 158.4837 \nL 82.015809 156.730226 \nL 79.668755 154.667825 \nL 77.470326 152.287475 \nL 75.482673 149.589693 \nL 73.773099 146.587485 \nL 72.411532 143.309207 \nL 71.467001 139.800898 \nL 71.003161 136.127576 \nL 71.07322 132.372933 \nL 71.714672 128.636927 \nL 72.94457 125.031024 \nL 74.756072 121.671236 \nL 77.116987 118.669449 \nL 79.970791 116.124274 \nL 83.240156 114.112586 \nL 86.832632 112.683272 \nL 90.647634 111.854143 \nL 94.583753 111.612398 \nL 98.545346 111.918425 \nL 102.447691 112.712006 \nL 106.220278 113.919728 \nL 109.808251 115.462368 \nL 113.172271 117.261328 \nL 116.287224 119.243489 \nL 119.140261 121.344343 \nL 121.728541 123.50954 \nL 124.056991 125.695167 \nL 126.136256 127.867143 \nL 127.980945 130.000101 \nL 129.608178 132.076021 \nL 132.284691 136.013223 \nL 134.315761 139.632054 \nL 135.842404 142.929501 \nL 136.987915 145.92457 \nL 138.210989 149.912307 \nL 139.308185 154.439634 \nL 140.595512 159.915989 \nL 141.305858 162.174743 \nL 142.166135 164.14976 \nL 142.860595 165.312361 \nL 143.68088 166.349313 \nL 144.655746 167.254414 \nL 145.818722 168.017089 \nL 147.209369 168.621407 \nL 148.874549 169.044674 \nL 150.869639 169.255473 \nL 153.259552 169.211041 \nL 156.119251 168.853879 \nL 159.533181 168.107529 \nL 163.592619 166.871759 \nL 168.389262 165.017793 \nL 171.089833 163.810142 \nL 174.002366 162.385437 \nL 177.131023 160.719163 \nL 180.475458 158.785798 \nL 184.029141 156.55974 \nL 187.777294 154.016744 \nL 191.69444 151.13598 \nL 195.741573 147.902893 \nL 199.863052 144.312958 \nL 203.98343 140.376442 \nL 208.004553 136.124041 \nL 211.803509 131.613156 \nL 215.232195 126.934078 \nL 218.119548 122.214914 \nL 220.27761 117.623576 \nL 221.512507 113.364526 \nL 221.640918 109.668002 \nL 220.511606 106.769968 \nL 218.029697 104.883094 \nL 214.179521 104.162046 \nL 209.040038 104.670174 \nL 202.786892 106.357324 \nL 195.677588 109.05792 \nL 188.021132 112.51328 \nL 180.138745 116.413941 \nL 157.800197 127.940024 \nL 151.364085 131.086584 \nL 145.55909 133.754196 \nL 140.386565 135.954491 \nL 135.818164 137.733199 \nL 128.301431 140.280621 \nL 122.572533 141.903973 \nL 108.962065 145.458686 \nL 104.706269 146.648864 \nL 102.337122 147.018314 \nL 100.761124 147.057067 \nL 99.184803 146.896714 \nL 97.625766 146.514279 \nL 96.117353 145.89423 \nL 94.706419 145.031355 \nL 93.450329 143.933981 \nL 92.412719 142.62709 \nL 91.657781 141.154618 \nL 91.243206 139.579984 \nL 91.212411 137.98388 \nL 91.587231 136.458824 \nL 92.362566 135.10057 \nL 92.890893 134.512241 \nL 93.504381 133.997659 \nL 94.951798 133.221032 \nL 96.623141 132.816038 \nL 98.424666 132.798547 \nL 100.260179 133.15585 \nL 102.039638 133.851523 \nL 103.685434 134.832734 \nL 105.135801 136.038031 \nL 106.345541 137.404106 \nL 107.284732 138.870711 \nL 107.936245 140.38347 \nL 108.292813 141.894935 \nL 108.354237 143.364271 \nL 108.125099 144.756152 \nL 107.613171 146.039209 \nL 106.828598 147.184357 \nL 105.783897 148.16324 \nL 104.494703 148.946904 \nL 102.981244 149.504901 \nL 101.270463 149.804964 \nL 99.398634 149.813556 \nL 97.414237 149.497517 \nL 95.380663 148.827191 \nL 93.378075 147.781301 \nL 91.503546 146.353569 \nL 90.648658 145.500594 \nL 89.868303 144.560653 \nL 89.177504 143.540732 \nL 88.591113 142.450169 \nL 88.123345 141.300747 \nL 87.787286 140.106688 \nL 87.594374 138.884526 \nL 87.553867 137.652857 \nL 87.672349 136.431917 \nL 87.9533 135.243032 \nL 88.39678 134.107963 \nL 88.999237 133.048124 \nL 89.753489 132.083804 \nL 90.648865 131.233368 \nL 91.671528 130.512546 \nL 92.804946 129.93385 \nL 94.030472 129.506155 \nL 95.328021 129.234489 \nL 96.676764 129.120031 \nL 98.055817 129.160297 \nL 99.444869 129.349517 \nL 100.824726 129.679127 \nL 102.177738 130.138342 \nL 103.488108 130.714762 \nL 104.742083 131.394976 \nL 107.036421 133.011253 \nL 108.992265 134.8784 \nL 110.570413 136.897933 \nL 111.754618 138.987106 \nL 112.544602 141.080002 \nL 112.949673 143.125852 \nL 112.983619 145.085942 \nL 112.661046 146.930045 \nL 111.995163 148.632935 \nL 110.996849 150.171178 \nL 109.674872 151.520297 \nL 108.037169 152.652262 \nL 106.093164 153.533354 \nL 103.857201 154.122486 \nL 101.353119 154.370269 \nL 98.620009 154.219284 \nL 97.185598 153.974627 \nL 95.718936 153.6064 \nL 94.232251 153.1067 \nL 92.739985 152.468167 \nL 91.258934 151.68441 \nL 89.808302 150.750504 \nL 88.40967 149.663579 \nL 87.086822 148.423476 \nL 85.865421 147.033443 \nL 84.772489 145.500831 \nL 83.835692 143.837712 \nL 83.082416 142.061412 \nL 82.538657 140.194781 \nL 82.227764 138.266197 \nL 82.169124 136.309175 \nL 82.376852 134.361569 \nL 82.858645 132.464301 \nL 83.614893 130.659712 \nL 84.638175 128.989592 \nL 85.913223 127.49308 \nL 87.417396 126.204558 \nL 89.121635 125.151873 \nL 90.991829 124.35493 \nL 92.990473 123.824905 \nL 95.07844 123.564125 \nL 97.216732 123.566534 \nL 99.368042 123.818728 \nL 101.498043 124.301349 \nL 103.576336 124.990747 \nL 105.577012 125.860588 \nL 107.478902 126.883433 \nL 109.265528 128.032038 \nL 110.924829 129.280402 \nL 112.448736 130.60452 \nL 113.832651 131.98284 \nL 115.074882 133.396497 \nL 116.176092 134.829349 \nL 117.966692 137.700938 \nL 119.2378 140.516827 \nL 120.031935 143.226347 \nL 120.391861 145.800298 \nL 120.354883 148.223413 \nL 119.949669 150.488364 \nL 119.194851 152.591136 \nL 118.098872 154.527415 \nL 116.660698 156.28961 \nL 114.871218 157.864074 \nL 112.71537 159.228321 \nL 110.175203 160.347909 \nL 107.234286 161.172987 \nL 105.610345 161.454372 \nL 103.884089 161.634572 \nL 102.057178 161.70142 \nL 100.133087 161.641199 \nL 98.117593 161.438651 \nL 96.019313 161.077084 \nL 93.850305 160.538561 \nL 91.626693 159.804274 \nL 89.369319 158.855099 \nL 87.104326 157.672408 \nL 84.863667 156.239154 \nL 82.685406 154.541283 \nL 80.613724 152.569459 \nL 78.698522 150.321089 \nL 76.994448 147.802525 \nL 75.559279 145.031295 \nL 74.451576 142.038095 \nL 73.727608 138.868214 \nL 73.437671 135.582002 \nL 73.622079 132.253989 \nL 74.307213 128.970376 \nL 75.502148 125.824832 \nL 77.196384 122.912758 \nL 79.359186 120.324579 \nL 81.940732 118.13882 \nL 84.875119 116.416005 \nL 88.084827 115.194257 \nL 91.486111 114.487213 \nL 94.994552 114.284588 \nL 98.530095 114.555038 \nL 102.021047 115.250804 \nL 105.40674 116.313204 \nL 108.63883 117.678217 \nL 111.681419 119.281415 \nL 114.51026 121.061818 \nL 117.11139 122.964556 \nL 119.479462 124.942337 \nL 121.616017 126.955938 \nL 123.527846 128.973991 \nL 125.22553 130.97229 \nL 126.722196 132.932866 \nL 129.171865 136.694065 \nL 130.99937 140.201118 \nL 132.322667 143.439642 \nL 133.245905 146.418605 \nL 133.855672 149.158393 \nL 134.220552 151.68376 \nL 134.392449 154.019933 \nL 134.366664 157.220713 \nL 134.063907 160.11851 \nL 133.512514 162.770563 \nL 132.703396 165.223037 \nL 132.001807 166.765805 \nL 131.148377 168.245574 \nL 130.117076 169.669799 \nL 128.874947 171.044032 \nL 127.381254 172.371223 \nL 125.586449 173.650498 \nL 123.431067 174.875133 \nL 120.844791 176.02936 \nL 117.74607 177.083471 \nL 114.043079 177.986462 \nL 109.637324 178.655295 \nL 107.140255 178.86358 \nL 104.432188 178.9598 \nL 101.504138 178.917033 \nL 98.3501 178.702677 \nL 94.96847 178.277683 \nL 91.363862 177.595874 \nL 87.54937 176.603498 \nL 83.549335 175.239224 \nL 79.402553 173.434853 \nL 75.165885 171.11715 \nL 70.917929 168.211265 \nL 66.762384 164.646293 \nL 62.830307 160.363417 \nL 59.280257 155.326935 \nL 56.295024 149.537877 \nL 54.073538 143.049056 \nL 52.81697 135.979179 \nL 52.708897 128.52229 \nL 53.891071 120.947914 \nL 56.438501 113.587627 \nL 60.339289 106.805943 \nL 65.485355 100.957854 \nL 71.678406 96.340354 \nL 78.651754 93.149368 \nL 86.103584 91.45341 \nL 93.733849 91.191024 \nL 101.276155 92.191729 \nL 108.518577 94.212985 \nL 115.3116 96.982298 \nL 121.565139 100.234344 \nL 127.238783 103.736919 \nL 132.329399 107.304226 \nL 136.859212 110.799504 \nL 140.865958 114.130537 \nL 147.497154 120.104662 \nL 152.610751 125.064776 \nL 163.315489 135.729733 \nL 165.309521 137.376521 \nL 167.122399 138.574454 \nL 168.849028 139.382461 \nL 170.554051 139.843454 \nL 172.276407 139.989036 \nL 174.032578 139.843949 \nL 175.818771 139.430332 \nL 177.612315 138.771811 \nL 179.37279 137.897444 \nL 181.043472 136.845297 \nL 182.553809 135.665179 \nL 183.82361 134.419905 \nL 184.769475 133.184293 \nL 185.313543 132.04122 \nL 185.393887 131.074564 \nL 185.247808 130.681562 \nL 184.975116 130.359707 \nL 184.576944 130.115418 \nL 184.056916 129.953407 \nL 182.678185 129.885511 \nL 180.915108 130.155049 \nL 178.873056 130.7321 \nL 176.673964 131.564901 \nL 174.442162 132.590042 \nL 171.277672 134.347938 \nL 169.420474 135.584629 \nL 167.838895 136.821295 \nL 166.57113 138.024993 \nL 165.637197 139.1705 \nL 165.043585 140.237423 \nL 164.787741 141.207601 \nL 164.861813 142.063182 \nL 165.255365 142.785404 \nL 165.957006 143.353981 \nL 166.954943 143.747004 \nL 168.236589 143.941214 \nL 169.78723 143.912747 \nL 171.587851 143.638314 \nL 173.612157 143.097105 \nL 175.822912 142.273514 \nL 178.167826 141.160927 \nL 180.575453 139.766598 \nL 182.951905 138.117357 \nL 185.179662 136.26544 \nL 187.120019 134.292933 \nL 188.620975 132.31264 \nL 189.158963 131.3621 \nL 189.531692 130.462847 \nL 189.723899 129.633946 \nL 189.723206 128.893933 \nL 189.520876 128.259992 \nL 189.112475 127.747126 \nL 188.498384 127.367364 \nL 187.684085 127.129102 \nL 186.680219 127.036614 \nL 185.502324 127.08985 \nL 184.170336 127.284468 \nL 181.140974 128.061451 \nL 177.806135 129.266323 \nL 174.388198 130.771973 \nL 171.087464 132.452752 \nL 168.061968 134.204327 \nL 165.4199 135.952059 \nL 163.222539 137.649395 \nL 161.493433 139.270573 \nL 160.229772 140.801968 \nL 159.413107 142.234797 \nL 159.018032 143.560173 \nL 159.018428 144.766315 \nL 159.391436 145.837342 \nL 160.119599 146.752915 \nL 161.191517 147.488275 \nL 162.601348 148.014374 \nL 164.347324 148.298071 \nL 166.429282 148.302429 \nL 168.845116 147.987445 \nL 171.58592 147.31162 \nL 174.629595 146.234931 \nL 177.932735 144.723986 \nL 181.420998 142.760136 \nL 184.97877 140.351083 \nL 188.440068 137.545726 \nL 190.067687 136.02498 \nL 191.584352 134.450255 \nL 192.954927 132.845862 \nL 194.14245 131.240725 \nL 195.1093 129.667967 \nL 195.818688 128.16412 \nL 196.236459 126.767848 \nL 196.33312 125.518216 \nL 196.08595 124.452561 \nL 195.481026 123.604093 \nL 194.514893 122.999478 \nL 193.195704 122.656665 \nL 191.5436 122.583272 \nL 189.59018 122.775803 \nL 187.377093 123.21985 \nL 184.953816 123.891352 \nL 182.374859 124.758701 \nL 176.974884 126.933521 \nL 171.601968 129.447332 \nL 166.595738 132.050171 \nL 162.178031 134.579041 \nL 158.456986 136.957187 \nL 155.45247 139.169428 \nL 153.127205 141.232625 \nL 151.414032 143.172836 \nL 150.235861 145.012104 \nL 149.518475 146.763167 \nL 149.197749 148.428897 \nL 149.223036 150.003891 \nL 149.558173 151.476495 \nL 150.181164 152.830438 \nL 151.083222 154.045745 \nL 152.26757 155.098865 \nL 153.748214 155.962167 \nL 155.548675 156.602835 \nL 157.700564 156.981397 \nL 160.241704 157.049937 \nL 163.213316 156.750312 \nL 166.655571 156.012792 \nL 170.600503 154.755907 \nL 175.060971 152.888896 \nL 177.479389 151.697336 \nL 180.014193 150.319006 \nL 182.653159 148.744504 \nL 185.378551 146.966868 \nL 188.16605 144.982756 \nL 190.983656 142.793937 \nL 193.790667 140.408977 \nL 196.536843 137.845163 \nL 199.161929 135.130463 \nL 201.59576 132.305372 \nL 203.759215 129.424302 \nL 205.566265 126.55616 \nL 206.927377 123.783588 \nL 207.754398 121.200418 \nL 207.966835 118.906938 \nL 207.499223 117.002869 \nL 206.308799 115.578412 \nL 204.382466 114.704265 \nL 201.741707 114.42221 \nL 198.444228 114.738111 \nL 194.581492 115.61916 \nL 190.272054 116.99647 \nL 185.651566 118.772983 \nL 180.861052 120.835245 \nL 171.294269 125.360089 \nL 158.433562 131.835746 \nL 145.79807 138.43914 \nL 141.359061 140.982099 \nL 137.921419 143.225318 \nL 135.266286 145.297627 \nL 133.191034 147.283481 \nL 131.520678 149.228546 \nL 129.463571 152.104546 \nL 125.685731 157.651679 \nL 124.245418 159.396265 \nL 122.612545 161.064364 \nL 120.731651 162.63831 \nL 118.547624 164.095678 \nL 116.004635 165.405991 \nL 113.046506 166.526342 \nL 109.619136 167.395707 \nL 107.714396 167.71054 \nL 105.67591 167.927906 \nL 103.500622 168.031762 \nL 101.187493 168.003471 \nL 98.738173 167.821574 \nL 96.157825 167.461666 \nL 93.45609 166.896382 \nL 90.648199 166.095583 \nL 87.756214 165.02685 \nL 84.810334 163.656349 \nL 81.850194 161.950236 \nL 78.926004 159.876716 \nL 76.099341 157.408821 \nL 73.443298 154.528048 \nL 71.04171 151.228688 \nL 68.987083 147.522697 \nL 67.376919 143.444622 \nL 66.30829 139.055817 \nL 65.870733 134.447007 \nL 66.137929 129.738097 \nL 67.15908 125.074197 \nL 68.951287 120.61737 \nL 71.494394 116.534352 \nL 74.729649 112.981574 \nL 78.562875 110.089695 \nL 82.872029 107.950451 \nL 87.517988 106.608293 \nL 92.356719 106.058416 \nL 97.250816 106.251268 \nL 102.078687 107.102192 \nL 106.740449 108.503951 \nL 111.160384 110.339596 \nL 115.286522 112.493683 \nL 119.088183 114.860513 \nL 122.552454 117.349186 \nL 125.680345 119.885669 \nL 128.483137 122.412669 \nL 130.979236 124.888062 \nL 133.191595 127.282583 \nL 136.868212 131.761278 \nL 139.723818 135.780709 \nL 141.959368 139.342361 \nL 144.530941 143.900339 \nL 147.220813 148.728085 \nL 148.485094 150.683838 \nL 149.802808 152.364606 \nL 151.239576 153.781215 \nL 152.854025 154.934513 \nL 154.700925 155.814993 \nL 156.833375 156.402251 \nL 159.303874 156.664141 \nL 162.163969 156.555826 \nL 165.462006 156.018976 \nL 169.238181 154.981758 \nL 173.515861 153.360766 \nL 175.842197 152.303431 \nL 178.287794 151.066819 \nL 180.84365 149.640915 \nL 183.495944 148.017446 \nL 186.225027 146.190911 \nL 189.004383 144.15985 \nL 191.799564 141.928367 \nL 194.567248 139.507882 \nL 197.25454 136.919043 \nL 199.798695 134.193597 \nL 202.127484 131.37609 \nL 204.160485 128.524982 \nL 205.811534 125.712795 \nL 206.992542 123.024819 \nL 207.618751 120.555916 \nL 207.615282 118.405158 \nL 206.924507 116.668268 \nL 205.51342 115.42847 \nL 203.379897 114.746784 \nL 200.556546 114.653437 \nL 197.111074 115.142247 \nL 193.142528 116.169533 \nL 188.773654 117.658374 \nL 184.140442 119.507632 \nL 179.380619 121.604138 \nL 169.978909 126.101376 \nL 157.502003 132.411222 \nL 147.916908 137.420129 \nL 143.115083 140.104052 \nL 139.381145 142.439952 \nL 136.500303 144.567256 \nL 134.265495 146.584057 \nL 132.493964 148.547617 \nL 131.031964 150.484251 \nL 128.555754 154.291118 \nL 126.73096 157.057043 \nL 125.396125 158.836071 \nL 123.897236 160.547612 \nL 122.179025 162.176714 \nL 120.187004 163.705132 \nL 117.865774 165.10861 \nL 115.158511 166.353145 \nL 112.00806 167.390037 \nL 108.360364 168.149516 \nL 106.335615 168.395768 \nL 104.171407 168.532948 \nL 101.86578 168.542779 \nL 99.419287 168.404105 \nL 96.835801 168.092711 \nL 94.123466 167.581251 \nL 91.295829 166.839354 \nL 88.37309 165.834008 \nL 85.383477 164.530325 \nL 82.364627 162.892796 \nL 79.364874 160.887217 \nL 76.444234 158.48337 \nL 73.67483 155.658555 \nL 71.140438 152.401972 \nL 68.934754 148.719742 \nL 67.15807 144.640177 \nL 65.912091 140.218588 \nL 65.292897 135.540651 \nL 65.382424 130.723153 \nL 66.239319 125.910979 \nL 67.890416 121.269587 \nL 70.324484 116.972988 \nL 73.489685 113.188383 \nL 77.295806 110.059596 \nL 81.621262 107.692244 \nL 86.323937 106.143542 \nL 91.253962 105.418637 \nL 96.266242 105.474075 \nL 101.230793 106.227148 \nL 106.039634 107.568838 \nL 110.610006 109.377654 \nL 114.884328 111.53196 \nL 118.827849 113.919351 \nL 122.424997 116.442504 \nL 125.6753 119.021797 \nL 128.589471 121.595443 \nL 131.185991 124.117921 \nL 133.488333 126.557584 \nL 137.316917 131.115153 \nL 140.293756 135.194378 \nL 142.627882 138.796341 \nL 146.079461 144.714787 \nL 148.153959 148.195956 \nL 149.492069 150.1256 \nL 150.889505 151.767878 \nL 152.414295 153.133086 \nL 154.12679 154.220921 \nL 156.082725 155.020174 \nL 158.335206 155.508224 \nL 160.935398 155.65041 \nL 163.931562 155.399374 \nL 167.365887 154.694869 \nL 171.26829 153.464826 \nL 175.646131 151.629017 \nL 178.005763 150.458582 \nL 180.468635 149.107503 \nL 183.021385 147.568475 \nL 185.64524 145.83682 \nL 188.31506 143.91164 \nL 190.998416 141.797189 \nL 193.654759 139.504447 \nL 196.234815 137.052803 \nL 198.680356 134.471735 \nL 200.924581 131.802275 \nL 202.893263 129.097986 \nL 204.50696 126.425086 \nL 205.684394 123.861322 \nL 206.347092 121.493209 \nL 206.425165 119.411383 \nL 205.863817 117.70407 \nL 204.629922 116.449135 \nL 202.7177 115.705556 \nL 200.152437 115.505705 \nL 196.991256 115.849997 \nL 193.320363 116.705283 \nL 189.248838 118.007779 \nL 184.899789 119.670244 \nL 180.40025 121.592166 \nL 171.420853 125.812439 \nL 159.316391 131.924899 \nL 149.87282 136.925773 \nL 145.099749 139.649474 \nL 141.377012 142.032789 \nL 138.509644 144.203975 \nL 136.303392 146.257648 \nL 134.583634 148.251572 \nL 133.201982 150.214184 \nL 131.502626 153.115758 \nL 128.379898 158.700139 \nL 127.184961 160.46473 \nL 125.825352 162.166251 \nL 124.251552 163.795243 \nL 122.412471 165.339776 \nL 120.253722 166.783023 \nL 117.716724 168.09992 \nL 114.738952 169.252611 \nL 111.255988 170.18432 \nL 109.305533 170.542455 \nL 107.206413 170.811317 \nL 104.952949 170.974583 \nL 102.541173 171.012913 \nL 99.969528 170.90359 \nL 97.239763 170.620212 \nL 94.358011 170.132481 \nL 91.336077 169.406155 \nL 88.192944 168.403287 \nL 84.956446 167.082872 \nL 81.66506 165.402058 \nL 78.36965 163.318129 \nL 75.134986 160.79144 \nL 72.040693 157.789471 \nL 69.181234 154.292056 \nL 66.664413 150.297639 \nL 64.607896 145.830144 \nL 63.133319 140.945644 \nL 62.357852 135.737528 \nL 62.383569 130.338582 \nL 63.285618 124.918309 \nL 65.100876 119.674192 \nL 67.819322 114.816729 \nL 71.380269 110.549541 \nL 75.674972 107.047531 \nL 80.555796 104.437175 \nL 85.850529 102.783106 \nL 91.379211 102.083862 \nL 96.970294 102.277272 \nL 102.473442 103.253784 \nL 107.767493 104.874152 \nL 112.763364 106.987687 \nL 117.402822 109.447762 \nL 121.654552 112.122882 \nL 125.508941 114.90289 \nL 128.972696 117.700941 \nL 132.063994 120.452476 \nL 134.808473 123.112387 \nL 139.379014 128.052719 \nL 142.939807 132.416296 \nL 145.738771 136.202805 \nL 152.41494 145.619729 \nL 154.040693 147.41336 \nL 155.734728 148.865376 \nL 157.572439 149.986156 \nL 159.617007 150.773477 \nL 161.921915 151.212923 \nL 164.531793 151.278469 \nL 167.481279 150.933465 \nL 170.791443 150.132568 \nL 174.463303 148.825455 \nL 178.467923 146.963573 \nL 182.733001 144.511474 \nL 184.924786 143.060753 \nL 187.126627 141.464277 \nL 189.310013 139.730186 \nL 191.44088 137.871865 \nL 193.479522 135.908859 \nL 195.380817 133.867699 \nL 197.094897 131.782453 \nL 198.568319 129.694872 \nL 199.745886 127.653919 \nL 200.573102 125.714531 \nL 200.999243 123.935458 \nL 200.980913 122.376167 \nL 200.485796 121.092897 \nL 199.496215 120.134183 \nL 198.012042 119.53635 \nL 196.052409 119.319653 \nL 193.655873 119.485683 \nL 190.87876 120.016707 \nL 187.791796 120.877125 \nL 184.475358 122.016989 \nL 181.013999 123.37707 \nL 173.983313 126.508774 \nL 167.271339 129.819766 \nL 161.267731 132.998224 \nL 156.166958 135.899188 \nL 152.007796 138.504562 \nL 148.729311 140.863153 \nL 146.219956 143.042443 \nL 144.351917 145.101418 \nL 143.001616 147.080651 \nL 142.060125 149.002362 \nL 141.437174 150.874687 \nL 141.061461 152.696648 \nL 140.879077 154.462326 \nL 140.886505 156.987815 \nL 141.164125 159.341492 \nL 141.679796 161.499114 \nL 142.438394 163.438882 \nL 143.095544 164.599904 \nL 143.893693 165.645915 \nL 144.856461 166.566663 \nL 146.013822 167.348728 \nL 147.402806 167.974212 \nL 149.068368 168.419101 \nL 151.064304 168.651139 \nL 153.454046 168.627127 \nL 156.310972 168.289494 \nL 159.717667 167.562138 \nL 163.763107 166.345722 \nL 168.536097 164.513157 \nL 171.220137 163.317798 \nL 174.112347 161.90706 \nL 177.216355 160.257028 \nL 180.531273 158.342894 \nL 184.050052 156.139905 \nL 187.757454 153.624788 \nL 191.627665 150.777788 \nL 195.621554 147.585485 \nL 199.68368 144.044467 \nL 203.739266 140.16594 \nL 207.691457 135.9812 \nL 211.419444 131.547617 \nL 214.77819 126.9545 \nL 217.600767 122.327695 \nL 219.704396 117.831237 \nL 220.90119 113.663949 \nL 221.014136 110.048823 \nL 219.897771 107.213618 \nL 217.461416 105.363024 \nL 213.690866 104.645585 \nL 208.662923 105.122174 \nL 202.547233 106.745059 \nL 195.592166 109.356152 \nL 188.095974 112.708035 \nL 180.369472 116.503932 \nL 158.404427 127.805311 \nL 152.053796 130.920845 \nL 146.316703 133.578035 \nL 141.197298 135.78493 \nL 136.670118 137.583396 \nL 129.209945 140.196411 \nL 123.514603 141.904601 \nL 111.947389 145.200948 \nL 104.654851 147.541629 \nL 102.975432 147.833687 \nL 101.272136 147.941565 \nL 99.544352 147.832359 \nL 97.810623 147.477298 \nL 96.107215 146.854388 \nL 94.486475 145.951797 \nL 93.014284 144.771959 \nL 91.765962 143.335924 \nL 90.820127 141.687176 \nL 90.250465 139.893584 \nL 90.126004 138.970125 \nL 90.116047 138.046139 \nL 90.224089 137.135704 \nL 90.451581 136.253387 \nL 90.797762 135.413844 \nL 91.259583 134.631376 \nL 91.831708 133.919477 \nL 92.506608 133.29038 \nL 93.274747 132.754675 \nL 94.124858 132.320971 \nL 95.044269 131.995656 \nL 96.019281 131.782756 \nL 97.035577 131.683909 \nL 99.134031 131.823514 \nL 101.227244 132.384803 \nL 103.215008 133.31265 \nL 105.015522 134.536812 \nL 106.567762 135.981739 \nL 107.830664 137.57417 \nL 108.780252 139.247911 \nL 109.405806 140.945924 \nL 109.705963 142.620411 \nL 109.685319 144.231577 \nL 109.351869 145.745705 \nL 108.715381 147.132982 \nL 107.786714 148.36534 \nL 106.578092 149.414496 \nL 105.104252 150.250344 \nL 103.384421 150.839775 \nL 101.445109 151.146187 \nL 99.323534 151.129934 \nL 97.071509 150.750169 \nL 94.759228 149.968521 \nL 92.47819 148.755098 \nL 91.384077 147.981509 \nL 90.342018 147.097047 \nL 89.369211 146.104516 \nL 88.483601 145.009152 \nL 87.703482 143.818963 \nL 87.047011 142.54497 \nL 86.531611 141.201375 \nL 86.173311 139.805567 \nL 85.986034 138.377972 \nL 85.980896 136.941705 \nL 86.165531 135.521993 \nL 86.543536 134.145427 \nL 87.114055 132.839022 \nL 87.871565 131.62916 \nL 88.805917 130.540493 \nL 89.902584 129.594888 \nL 91.143167 128.81048 \nL 92.506117 128.200963 \nL 93.967563 127.775109 \nL 95.502264 127.536628 \nL 97.084541 127.484293 \nL 98.689182 127.612357 \nL 100.292208 127.911177 \nL 101.871512 128.367968 \nL 103.407323 128.967656 \nL 104.88249 129.693693 \nL 106.28261 130.528853 \nL 107.596022 131.455886 \nL 109.928925 133.51968 \nL 111.836037 135.764329 \nL 113.301641 138.090658 \nL 114.330035 140.422313 \nL 114.937022 142.703212 \nL 115.143157 144.893277 \nL 114.968946 146.96373 \nL 114.431837 148.892686 \nL 113.544744 150.661283 \nL 112.315839 152.250321 \nL 110.749442 153.637285 \nL 108.847951 154.79369 \nL 106.614882 155.682642 \nL 104.059165 156.256757 \nL 101.200931 156.456764 \nL 99.669517 156.394644 \nL 98.07893 156.211438 \nL 96.438395 155.896765 \nL 94.759467 155.439999 \nL 93.056351 154.830612 \nL 91.346159 154.058592 \nL 89.649137 153.11502 \nL 87.988767 151.992751 \nL 86.391761 150.68723 \nL 84.887851 149.197425 \nL 83.509345 147.526815 \nL 82.290425 145.684407 \nL 81.266132 143.685657 \nL 80.471048 141.553209 \nL 79.937688 139.317288 \nL 79.69471 137.015656 \nL 79.765026 134.692945 \nL 80.163981 132.399335 \nL 80.897824 130.188585 \nL 81.962626 128.115426 \nL 83.343843 126.232623 \nL 85.016615 124.587872 \nL 86.946827 123.220937 \nL 89.092857 122.161336 \nL 91.407823 121.426859 \nL 93.842101 121.02304 \nL 96.345865 120.943661 \nL 98.871366 121.17211 \nL 101.374838 121.683376 \nL 103.817842 122.446441 \nL 106.168089 123.426697 \nL 108.399741 124.588212 \nL 110.493285 125.895623 \nL 112.435087 127.315617 \nL 114.216742 128.817919 \nL 115.834307 130.375874 \nL 117.287493 131.966659 \nL 118.578899 133.571241 \nL 119.713284 135.174137 \nL 121.537111 138.32853 \nL 122.818383 141.362624 \nL 123.61959 144.241103 \nL 123.997838 146.949495 \nL 124.000082 149.485757 \nL 123.660902 151.854241 \nL 123.00191 154.061475 \nL 122.0321 156.11314 \nL 120.74872 158.011731 \nL 119.138445 159.754432 \nL 117.178829 161.330866 \nL 114.840204 162.720373 \nL 112.088381 163.888583 \nL 108.888751 164.783039 \nL 107.111584 165.104979 \nL 105.212666 165.327889 \nL 103.190958 165.437666 \nL 101.047271 165.418034 \nL 98.784871 165.250425 \nL 96.410171 164.913948 \nL 93.933538 164.385459 \nL 91.370195 163.639838 \nL 88.741189 162.65048 \nL 86.074397 161.39013 \nL 83.405467 159.832116 \nL 80.778598 157.952088 \nL 78.247006 155.730296 \nL 75.872865 153.154438 \nL 73.726513 150.222989 \nL 71.884657 146.948838 \nL 70.427444 143.362848 \nL 69.434232 139.516849 \nL 68.978208 135.485352 \nL 69.120155 131.365272 \nL 69.902039 127.272975 \nL 71.341241 123.338321 \nL 73.426497 119.695869 \nL 76.11641 116.474072 \nL 79.341154 113.783901 \nL 83.007317 111.708672 \nL 87.005319 110.29692 \nL 91.218239 109.559505 \nL 95.530681 109.471296 \nL 99.836428 109.976896 \nL 104.044029 110.999012 \nL 108.079942 112.447892 \nL 111.88943 114.230203 \nL 115.435655 116.256319 \nL 118.697582 118.445412 \nL 121.667308 120.728352 \nL 124.347241 123.048759 \nL 126.74748 125.362638 \nL 128.883502 127.63717 \nL 130.774286 129.84904 \nL 133.904901 134.028563 \nL 136.312598 137.840707 \nL 138.162803 141.280535 \nL 139.601792 144.370172 \nL 141.717911 149.630216 \nL 143.401223 153.872824 \nL 144.682627 156.498793 \nL 145.635294 158.009668 \nL 146.715348 159.334119 \nL 147.963685 160.469396 \nL 149.422929 161.405711 \nL 151.139242 162.125382 \nL 153.163696 162.60153 \nL 155.553097 162.796265 \nL 158.369963 162.658364 \nL 161.681147 162.120551 \nL 165.554206 161.096802 \nL 170.050143 159.480546 \nL 172.545941 158.411426 \nL 175.210484 157.145577 \nL 178.042432 155.665278 \nL 181.035962 153.953012 \nL 184.179435 151.992432 \nL 187.453843 149.76968 \nL 190.831059 147.275151 \nL 194.271942 144.505763 \nL 197.724435 141.467769 \nL 201.121818 138.180006 \nL 204.381427 134.677511 \nL 207.404249 131.01512 \nL 210.075855 127.270513 \nL 212.269315 123.545941 \nL 213.850595 119.967575 \nL 214.686885 116.681371 \nL 214.657786 113.844496 \nL 213.668752 111.611874 \nL 211.665165 110.118695 \nL 208.644686 109.460987 \nL 204.664872 109.678165 \nL 199.843388 110.742006 \nL 194.349444 112.556065 \nL 188.387174 114.967113 \nL 182.174032 117.786658 \nL 169.80276 123.879566 \nL 153.513415 132.02149 \nL 144.911161 136.083073 \nL 127.055237 144.278335 \nL 124.215871 145.909211 \nL 121.887029 147.467784 \nL 118.928473 149.732816 \nL 115.241661 152.569232 \nL 113.282117 153.845239 \nL 111.151298 154.974606 \nL 108.800689 155.910428 \nL 106.197994 156.598155 \nL 103.328691 156.973854 \nL 100.199981 156.96293 \nL 98.548069 156.786263 \nL 96.847187 156.480374 \nL 95.107529 156.033549 \nL 93.342167 155.434114 \nL 91.567323 154.670829 \nL 89.802606 153.733463 \nL 88.07116 152.613462 \nL 86.399669 151.304792 \nL 84.818192 149.804911 \nL 83.359761 148.115799 \nL 82.059693 146.245078 \nL 80.954581 144.207032 \nL 80.080946 142.023474 \nL 79.473574 139.724281 \nL 79.163626 137.347471 \nL 79.176586 134.938651 \nL 79.530284 132.549746 \nL 80.233141 130.236998 \nL 81.28291 128.058287 \nL 82.666046 126.069956 \nL 84.35791 124.323479 \nL 86.323787 122.862286 \nL 88.520667 121.719127 \nL 90.899623 120.914348 \nL 93.408512 120.455164 \nL 95.994729 120.33608 \nL 98.607713 120.540299 \nL 101.201027 121.041851 \nL 103.733867 121.808122 \nL 106.171975 122.80254 \nL 108.487981 123.987018 \nL 110.661278 125.324059 \nL 112.677551 126.778353 \nL 114.528063 128.317865 \nL 116.208833 129.914458 \nL 117.719764 131.544137 \nL 119.063815 133.186972 \nL 120.246222 134.826839 \nL 122.154496 138.049813 \nL 123.508779 141.14436 \nL 124.376323 144.075437 \nL 124.818596 146.82981 \nL 124.886365 149.407177 \nL 124.617462 151.813886 \nL 124.036234 154.058667 \nL 123.153932 156.149663 \nL 121.96959 158.092194 \nL 120.471133 159.886843 \nL 118.636648 161.527449 \nL 116.435945 162.99869 \nL 113.83269 164.272934 \nL 110.787634 165.30616 \nL 109.087577 165.712887 \nL 107.263745 166.032722 \nL 105.313185 166.253056 \nL 103.234329 166.359122 \nL 101.027516 166.333811 \nL 98.695625 166.157523 \nL 96.244825 165.808101 \nL 93.685438 165.260894 \nL 91.032926 164.488999 \nL 88.308948 163.463776 \nL 85.542478 162.155712 \nL 82.770859 160.535719 \nL 80.040699 158.577017 \nL 77.408427 156.257592 \nL 74.940293 153.563343 \nL 72.711532 150.491752 \nL 70.804458 147.055941 \nL 69.305214 143.288682 \nL 68.299127 139.245762 \nL 67.864711 135.007915 \nL 68.066716 130.680499 \nL 68.948998 126.390126 \nL 70.528174 122.277853 \nL 72.789243 118.489179 \nL 75.684222 115.16183 \nL 79.134393 112.413031 \nL 83.036117 110.3284 \nL 87.269403 108.954468 \nL 91.707862 108.296138 \nL 96.228482 108.319395 \nL 100.719793 108.958359 \nL 105.08754 110.125108 \nL 109.257585 111.720255 \nL 113.176347 113.642653 \nL 116.809339 115.796998 \nL 120.138584 118.09892 \nL 123.159508 120.477589 \nL 125.877834 122.876355 \nL 128.306752 125.251952 \nL 130.464533 127.572895 \nL 132.372585 129.817511 \nL 135.532285 134.028338 \nL 137.972159 137.836421 \nL 139.866754 141.246432 \nL 142.013662 145.679925 \nL 145.189605 152.52482 \nL 146.2146 154.309301 \nL 147.323346 155.872953 \nL 148.565811 157.221011 \nL 149.989648 158.35076 \nL 151.642719 159.251 \nL 153.575013 159.901198 \nL 155.839873 160.270213 \nL 158.494293 160.3146 \nL 161.597916 159.976608 \nL 165.209996 159.182247 \nL 169.383267 157.840146 \nL 174.153104 155.842692 \nL 176.763887 154.561455 \nL 179.519919 153.072046 \nL 182.411426 151.360583 \nL 185.422542 149.415196 \nL 188.529918 147.227401 \nL 191.7012 144.793872 \nL 194.893507 142.11861 \nL 198.052005 139.215487 \nL 201.108818 136.111046 \nL 203.982539 132.847354 \nL 206.578734 129.48453 \nL 208.791825 126.102419 \nL 210.508807 122.800672 \nL 211.61512 119.696473 \nL 212.002767 116.919082 \nL 211.580372 114.600838 \nL 210.28426 112.864728 \nL 208.089053 111.809774 \nL 205.015711 111.496458 \nL 201.134925 111.935263 \nL 196.56426 113.081577 \nL 191.458735 114.839037 \nL 185.996086 117.071473 \nL 180.359431 119.621154 \nL 169.22738 125.053691 \nL 150.524102 134.383627 \nL 135.880525 141.57278 \nL 132.163088 143.639994 \nL 129.261649 145.521671 \nL 126.936813 147.316341 \nL 124.988071 149.071533 \nL 118.127781 155.706222 \nL 116.155602 157.164138 \nL 113.941485 158.477982 \nL 111.43512 159.604428 \nL 108.596001 160.489663 \nL 105.396064 161.065643 \nL 103.656729 161.211567 \nL 101.825285 161.24632 \nL 99.904794 161.155856 \nL 97.9008 160.924794 \nL 95.82183 160.536505 \nL 93.67994 159.973344 \nL 91.491297 159.217024 \nL 89.276758 158.249201 \nL 87.062394 157.05227 \nL 84.879916 155.610471 \nL 82.766885 153.911261 \nL 80.766641 151.946995 \nL 78.927806 149.71685 \nL 77.303256 147.228907 \nL 75.948463 144.502207 \nL 74.919156 141.568517 \nL 74.268327 138.473515 \nL 74.042721 135.277028 \nL 74.279052 132.051959 \nL 75.000359 128.881715 \nL 76.212981 125.856035 \nL 77.904596 123.065499 \nL 80.043807 120.595209 \nL 82.581413 118.518377 \nL 85.453361 116.890793 \nL 88.585028 115.746891 \nL 91.896276 115.098056 \nL 95.306634 114.933272 \nL 98.73995 115.221962 \nL 102.12807 115.918316 \nL 105.413282 116.966467 \nL 108.549508 118.305608 \nL 111.502413 119.874594 \nL 114.248664 121.615505 \nL 116.774664 123.476119 \nL 119.074998 125.411271 \nL 121.150824 127.383365 \nL 123.008327 129.362178 \nL 124.657351 131.324243 \nL 126.110219 133.252009 \nL 128.483544 136.958374 \nL 130.244358 140.424423 \nL 131.504745 143.634143 \nL 132.363706 146.594575 \nL 132.903332 149.324326 \nL 133.18818 151.846669 \nL 133.266376 154.185684 \nL 133.171485 156.364226 \nL 132.924553 158.402995 \nL 132.535948 160.320247 \nL 132.006846 162.131777 \nL 131.330284 163.851057 \nL 130.491771 165.489343 \nL 129.469485 167.055646 \nL 128.23411 168.556478 \nL 126.748361 169.995228 \nL 124.966308 171.371021 \nL 122.832617 172.676799 \nL 120.281973 173.896305 \nL 117.239086 174.999475 \nL 113.620026 175.93562 \nL 109.336148 176.623588 \nL 106.917882 176.837566 \nL 104.302687 176.938219 \nL 101.483272 176.900149 \nL 98.455317 176.692852 \nL 95.218761 176.280101 \nL 91.779458 175.619423 \nL 88.151208 174.66182 \nL 84.358177 173.351907 \nL 80.437705 171.628707 \nL 76.44336 169.427439 \nL 72.44802 166.682682 \nL 68.546607 163.333347 \nL 64.857781 159.329802 \nL 61.523811 154.643304 \nL 58.707537 149.277496 \nL 56.585338 143.280899 \nL 55.335344 136.758532 \nL 55.120833 129.879662 \nL 56.070045 122.878006 \nL 58.255285 116.04109 \nL 61.67561 109.68698 \nL 66.247892 104.129942 \nL 71.809989 99.640537 \nL 78.136854 96.408724 \nL 84.966818 94.51916 \nL 92.03218 93.945021 \nL 99.087278 94.561157 \nL 105.928637 96.171956 \nL 112.404841 98.54569 \nL 118.416924 101.446948 \nL 123.912082 104.66136 \nL 128.874076 108.010204 \nL 133.313083 111.355775 \nL 137.256721 114.599825 \nL 140.742966 117.678073 \nL 146.517698 123.207442 \nL 150.990463 127.847423 \nL 160.677092 138.206961 \nL 162.63847 139.890111 \nL 164.510455 141.137553 \nL 166.382942 141.990603 \nL 168.318851 142.476056 \nL 170.357626 142.609924 \nL 172.517137 142.40132 \nL 174.794104 141.85674 \nL 177.163258 140.984907 \nL 179.575758 139.802344 \nL 181.957626 138.339577 \nL 184.209401 136.647365 \nL 186.208466 134.801886 \nL 187.815803 132.907011 \nL 188.888424 131.091377 \nL 189.182859 130.257917 \nL 189.297691 129.498259 \nL 189.222744 128.829684 \nL 188.951532 128.267837 \nL 188.481823 127.825982 \nL 187.816041 127.514326 \nL 186.961436 127.339447 \nL 185.930035 127.303965 \nL 184.738304 127.406432 \nL 181.958295 128.000255 \nL 178.815515 129.03991 \nL 175.522427 130.41137 \nL 172.279737 131.993347 \nL 169.25387 133.67863 \nL 166.565808 135.38564 \nL 164.29061 137.059984 \nL 162.464202 138.669296 \nL 161.09352 140.195441 \nL 160.166935 141.627196 \nL 159.663169 142.954805 \nL 159.558047 144.166661 \nL 159.829019 145.247649 \nL 160.457798 146.178489 \nL 161.431422 146.935673 \nL 162.742103 147.491554 \nL 164.38602 147.81456 \nL 166.361119 147.869522 \nL 168.663878 147.618418 \nL 171.28481 147.021805 \nL 174.202599 146.041566 \nL 177.376622 144.645558 \nL 180.738102 142.814913 \nL 184.180538 140.554481 \nL 187.551152 137.906261 \nL 190.646466 134.964133 \nL 192.014236 133.429518 \nL 193.216642 131.885969 \nL 194.218243 130.363649 \nL 194.984001 128.896106 \nL 195.48087 127.519212 \nL 195.679609 126.2697 \nL 195.556719 125.183317 \nL 195.096326 124.292689 \nL 194.291842 123.625111 \nL 193.147182 123.200474 \nL 191.677353 123.029581 \nL 189.908272 123.113184 \nL 187.87575 123.441803 \nL 185.623719 123.996544 \nL 183.201863 124.750722 \nL 178.059692 126.725784 \nL 172.858626 129.090602 \nL 167.941457 131.597687 \nL 163.545701 134.073582 \nL 159.800117 136.426203 \nL 156.744352 138.626427 \nL 154.357116 140.68138 \nL 152.582729 142.611688 \nL 151.351545 144.437096 \nL 150.593696 146.16979 \nL 150.247243 147.812808 \nL 150.26235 149.360941 \nL 150.602863 150.802452 \nL 151.246368 152.120555 \nL 152.183445 153.294305 \nL 153.416556 154.298796 \nL 154.958759 155.104667 \nL 156.832285 155.677121 \nL 159.066828 155.974518 \nL 161.697211 155.946822 \nL 164.759957 155.534181 \nL 168.287966 154.666189 \nL 172.302325 153.262797 \nL 176.799998 151.238418 \nL 179.218301 149.967317 \nL 181.736124 148.511605 \nL 184.337418 146.864756 \nL 187.000238 145.023444 \nL 189.695775 142.988815 \nL 192.387447 140.76798 \nL 195.030121 138.375676 \nL 197.569662 135.836 \nL 199.942943 133.184043 \nL 202.078576 130.467202 \nL 203.898551 127.745796 \nL 205.321017 125.09268 \nL 206.264345 122.591315 \nL 206.652423 120.332088 \nL 206.420965 118.40661 \nL 205.524277 116.900304 \nL 203.941656 115.883827 \nL 201.682343 115.404589 \nL 198.787944 115.479853 \nL 195.331498 116.093022 \nL 191.412872 117.194207 \nL 187.150954 118.705486 \nL 182.673784 120.529989 \nL 173.570863 124.703819 \nL 164.957651 128.972619 \nL 154.050074 134.602881 \nL 145.957517 139.037623 \nL 141.971713 141.491452 \nL 138.894771 143.701906 \nL 136.52743 145.774463 \nL 134.687352 147.776283 \nL 133.218018 149.742397 \nL 131.432388 152.648993 \nL 128.233727 158.255432 \nL 127.029275 160.030086 \nL 125.664735 161.741916 \nL 124.089654 163.380765 \nL 122.252545 164.934072 \nL 120.09909 166.384476 \nL 117.571207 167.706497 \nL 114.60728 168.862025 \nL 111.144216 169.794294 \nL 109.206505 170.151966 \nL 107.12232 170.420007 \nL 104.886249 170.58226 \nL 102.494598 170.619618 \nL 99.946094 170.509689 \nL 97.242742 170.226497 \nL 94.390895 169.740294 \nL 91.402502 169.017543 \nL 88.296577 168.021161 \nL 85.100815 166.711182 \nL 81.853319 165.045961 \nL 78.604269 162.984136 \nL 75.417356 160.487498 \nL 72.370672 157.524938 \nL 69.556626 154.077509 \nL 67.08045 150.144462 \nL 65.056793 145.749848 \nL 63.603988 140.948867 \nL 62.835916 135.832793 \nL 62.851767 130.530893 \nL 63.72467 125.207806 \nL 65.49082 120.055151 \nL 68.141165 115.277201 \nL 71.617724 111.071863 \nL 75.815966 107.60973 \nL 80.593459 105.015146 \nL 85.78348 103.353179 \nL 91.21111 102.625181 \nL 96.708817 102.773625 \nL 102.128947 103.694547 \nL 107.351658 105.254386 \nL 112.287995 107.307426 \nL 116.878988 109.71094 \nL 121.092043 112.33606 \nL 124.916014 115.074069 \nL 128.356039 117.838625 \nL 131.428817 120.564966 \nL 134.158671 123.207371 \nL 136.57447 125.735778 \nL 140.588995 130.388164 \nL 143.722255 134.472194 \nL 147.268835 139.590282 \nL 150.815775 144.803026 \nL 152.402785 146.825379 \nL 154.008018 148.502332 \nL 155.714553 149.851313 \nL 157.591935 150.877225 \nL 159.699586 151.572675 \nL 162.088789 151.918251 \nL 164.802972 151.88295 \nL 167.875913 151.425091 \nL 171.327368 150.494311 \nL 175.155551 149.035622 \nL 179.325911 146.996982 \nL 183.75609 144.342056 \nL 186.0254 142.781135 \nL 188.29796 141.069982 \nL 190.54205 139.218505 \nL 192.719922 137.242539 \nL 194.78777 135.164846 \nL 196.69609 133.015962 \nL 198.390553 130.8347 \nL 199.81347 128.668135 \nL 200.905992 126.570864 \nL 201.611015 124.603329 \nL 201.87675 122.829099 \nL 201.660719 121.311104 \nL 200.933863 120.107018 \nL 199.684254 119.264239 \nL 197.919859 118.815053 \nL 195.669787 118.772836 \nL 192.983683 119.12998 \nL 189.929066 119.858144 \nL 186.586889 120.910904 \nL 183.045854 122.22856 \nL 179.396265 123.744244 \nL 172.106996 127.104144 \nL 165.283348 130.532853 \nL 159.28042 133.745204 \nL 154.24991 136.632844 \nL 150.192786 139.208066 \nL 147.020382 141.538166 \nL 144.60333 143.69872 \nL 142.803581 145.750329 \nL 141.492344 147.732185 \nL 140.558403 149.66443 \nL 139.910595 151.553528 \nL 139.477091 153.397687 \nL 139.11288 156.066495 \nL 138.983658 158.597626 \nL 139.052879 161.725644 \nL 139.32857 164.547063 \nL 139.801367 167.049198 \nL 140.308964 168.711564 \nL 140.985195 170.184464 \nL 141.881389 171.457205 \nL 142.635342 172.185342 \nL 143.545528 172.807137 \nL 144.645252 173.31 \nL 145.975045 173.676503 \nL 147.583995 173.88274 \nL 149.531189 173.896109 \nL 151.887119 173.672335 \nL 154.734758 173.151539 \nL 158.169752 172.253188 \nL 162.298715 170.869942 \nL 167.233817 168.86091 \nL 173.080681 166.045894 \nL 176.371784 164.268633 \nL 179.91483 162.204409 \nL 183.707711 159.821236 \nL 187.73981 157.087378 \nL 191.989097 153.973496 \nL 196.41868 150.455763 \nL 200.972843 146.52018 \nL 205.572759 142.168259 \nL 210.112248 137.424153 \nL 214.454211 132.342949 \nL 218.4287 127.01955 \nL 221.834014 121.596675 \nL 224.44247 116.269828 \nL 226.012716 111.286024 \nL 226.30982 106.932562 \nL 225.133249 103.512636 \nL 222.350176 101.306832 \nL 217.928476 100.524353 \nL 211.960451 101.253849 \nL 204.667793 103.429084 \nL 196.381475 106.824491 \nL 187.49824 111.087937 \nL 178.42419 115.80398 \nL 161.071012 125.048847 \nL 153.259766 129.021774 \nL 146.185624 132.373189 \nL 139.876081 135.081448 \nL 134.309845 137.188406 \nL 129.436436 138.771191 \nL 125.191107 139.919998 \nL 121.50483 140.723494 \nL 118.310273 141.26077 \nL 113.152542 141.788745 \nL 109.293541 141.884881 \nL 105.248568 141.674551 \nL 101.989113 141.206817 \nL 100.199491 140.747798 \nL 99.140159 140.276078 \nL 98.82158 139.914591 \nL 98.91939 139.82403 \nL 99.192523 139.890378 \nL 99.526379 140.195766 \nL 99.677314 140.637333 \nL 99.587717 140.994678 \nL 99.302418 141.243317 \nL 98.877049 141.312286 \nL 98.409011 141.169626 \nL 98.017248 140.8346 \nL 97.813113 140.38031 \nL 97.867257 139.92124 \nL 98.10149 139.636323 \nL 98.471732 139.484565 \nL 99.034168 139.528382 \nL 99.570719 139.82708 \nL 99.940591 140.311331 \nL 100.046816 140.754746 \nL 99.957495 141.173068 \nL 99.678526 141.498998 \nL 99.244784 141.676147 \nL 98.717191 141.666907 \nL 98.176562 141.459543 \nL 97.713527 141.073606 \nL 97.414316 140.561755 \nL 97.343808 140.005282 \nL 97.529666 139.501761 \nL 97.952656 139.145975 \nL 98.547596 139.009032 \nL 99.215562 139.122362 \nL 99.843696 139.4718 \nL 100.326407 140.002513 \nL 100.582466 140.631282 \nL 100.565539 141.261185 \nL 100.36803 141.675591 \nL 100.024147 141.998336 \nL 99.55802 142.19777 \nL 98.809198 142.232508 \nL 98.017728 141.981145 \nL 97.313516 141.460161 \nL 96.921901 140.930057 \nL 96.700691 140.329767 \nL 96.682695 139.716929 \nL 96.880437 139.155356 \nL 97.282735 138.707032 \nL 97.854793 138.423494 \nL 98.542116 138.33847 \nL 99.277468 138.463553 \nL 99.989327 138.787615 \nL 100.610033 139.279712 \nL 101.082262 139.894163 \nL 101.363215 140.576336 \nL 101.426663 141.267957 \nL 101.26345 141.911307 \nL 100.881223 142.452276 \nL 100.303918 142.842788 \nL 99.571281 143.043055 \nL 98.738153 143.024382 \nL 97.87296 142.772647 \nL 97.054569 142.292418 \nL 96.366658 141.610841 \nL 95.889235 140.779906 \nL 95.687801 139.875241 \nL 95.801997 138.989958 \nL 96.057385 138.45973 \nL 96.447697 138.010303 \nL 96.95714 137.665826 \nL 97.56331 137.444925 \nL 98.592711 137.369135 \nL 99.672203 137.604964 \nL 100.695142 138.125817 \nL 101.565713 138.877154 \nL 102.207477 139.78665 \nL 102.567334 140.773919 \nL 102.615956 141.75795 \nL 102.34639 142.661674 \nL 101.995881 143.184308 \nL 101.51863 143.620522 \nL 100.927493 143.952858 \nL 100.239305 144.165797 \nL 99.071963 144.233384 \nL 97.822366 143.972647 \nL 96.996058 143.610984 \nL 96.216497 143.103517 \nL 95.521144 142.461956 \nL 94.947297 141.705979 \nL 94.529722 140.863568 \nL 94.297935 139.970585 \nL 94.273364 139.069384 \nL 94.466832 138.206362 \nL 94.876751 137.428648 \nL 95.48845 136.780263 \nL 96.274818 136.298296 \nL 97.198255 136.00973 \nL 98.213677 135.929418 \nL 99.272092 136.059481 \nL 100.324205 136.390126 \nL 101.323592 136.901531 \nL 102.229107 137.566442 \nL 103.006373 138.352863 \nL 103.628414 139.22656 \nL 104.075584 140.152998 \nL 104.335045 141.098723 \nL 104.400008 142.032119 \nL 104.268959 142.923701 \nL 103.945029 143.74606 \nL 103.4356 144.473636 \nL 102.752205 145.082449 \nL 101.910722 145.549915 \nL 100.931834 145.8549 \nL 99.84166 145.978106 \nL 98.672422 145.902874 \nL 97.462974 145.616522 \nL 96.258941 145.112168 \nL 95.112176 144.391003 \nL 94.079276 143.464805 \nL 93.218873 142.358253 \nL 92.587717 141.110543 \nL 92.235643 139.775597 \nL 92.200024 138.420258 \nL 92.500539 137.120126 \nL 93.135305 135.95322 \nL 94.079366 134.992285 \nL 95.286068 134.297034 \nL 96.691302 133.907979 \nL 98.219837 133.842996 \nL 99.792528 134.097246 \nL 101.333122 134.646085 \nL 102.773596 135.450054 \nL 104.057511 136.460587 \nL 105.141352 137.62536 \nL 105.994204 138.892504 \nL 106.596326 140.213386 \nL 106.937171 141.544004 \nL 107.013335 142.845248 \nL 106.826767 144.082391 \nL 106.383473 145.224153 \nL 105.6928 146.241526 \nL 104.767346 147.106676 \nL 103.623508 147.792024 \nL 102.282584 148.269674 \nL 100.772367 148.511398 \nL 99.129057 148.489343 \nL 97.399255 148.177677 \nL 95.641638 147.555369 \nL 93.927788 146.610234 \nL 92.341473 145.344093 \nL 90.975643 143.778527 \nL 89.926561 141.96025 \nL 89.549652 140.978716 \nL 89.284905 139.964482 \nL 89.140944 138.931326 \nL 89.124582 137.89446 \nL 89.240496 136.870196 \nL 89.490926 135.875529 \nL 89.875463 134.927635 \nL 90.390946 134.043335 \nL 91.031442 133.238513 \nL 91.788378 132.527572 \nL 92.65077 131.922929 \nL 93.605551 131.434599 \nL 94.638002 131.069901 \nL 95.73221 130.833289 \nL 96.871581 130.726324 \nL 98.039341 130.747795 \nL 99.218998 130.893935 \nL 100.39475 131.158758 \nL 102.676767 132.011716 \nL 104.783796 133.229563 \nL 106.638791 134.725447 \nL 108.189297 136.413363 \nL 109.404396 138.215165 \nL 110.270075 140.063982 \nL 110.784254 141.904806 \nL 110.952311 143.693222 \nL 110.783528 145.39313 \nL 110.288658 146.974111 \nL 109.478612 148.408768 \nL 108.364195 149.670271 \nL 106.956861 150.730192 \nL 105.270407 151.556708 \nL 103.323621 152.113337 \nL 101.143824 152.358423 \nL 98.771228 152.24572 \nL 96.263834 151.726704 \nL 94.983779 151.300131 \nL 93.702253 150.755239 \nL 92.43348 150.087897 \nL 91.193428 149.295266 \nL 89.999733 148.376233 \nL 88.871549 147.331853 \nL 87.829269 146.165827 \nL 86.894121 144.884963 \nL 86.087635 143.499569 \nL 85.430986 142.023771 \nL 84.944202 140.475665 \nL 84.645301 138.877271 \nL 84.549375 137.254259 \nL 84.667706 135.635376 \nL 85.006959 134.051619 \nL 85.568556 132.53513 \nL 86.348281 131.117905 \nL 87.336174 129.830371 \nL 88.516758 128.700002 \nL 89.869574 127.750007 \nL 91.370021 126.998314 \nL 92.990388 126.456835 \nL 94.701054 126.131185 \nL 96.471683 126.02077 \nL 98.272398 126.11927 \nL 100.074791 126.415408 \nL 101.852743 126.893938 \nL 103.583027 127.53675 \nL 105.245677 128.323941 \nL 106.824134 129.234837 \nL 108.305218 130.24885 \nL 109.67895 131.346183 \nL 110.938275 132.50834 \nL 113.09795 134.961509 \nL 114.772338 137.495589 \nL 115.972578 140.026689 \nL 116.722375 142.495915 \nL 117.049875 144.863695 \nL 116.982007 147.103921 \nL 116.54098 149.198735 \nL 115.742504 151.134125 \nL 114.595354 152.896255 \nL 113.102027 154.468294 \nL 111.260349 155.827526 \nL 109.066099 156.942584 \nL 106.516823 157.770734 \nL 103.61719 158.255401 \nL 102.041129 158.346989 \nL 100.38622 158.324352 \nL 98.658638 158.175981 \nL 96.866757 157.889518 \nL 95.021558 157.451975 \nL 93.137037 156.850029 \nL 91.23061 156.070486 \nL 89.32346 155.10086 \nL 87.440808 153.930155 \nL 85.612042 152.549837 \nL 83.870633 150.954964 \nL 82.253792 149.145458 \nL 80.801778 147.127495 \nL 79.556809 144.914845 \nL 78.561552 142.530058 \nL 77.857178 140.005313 \nL 77.481069 137.382684 \nL 77.464338 134.713704 \nL 77.829303 132.05796 \nL 78.587272 129.480775 \nL 79.736855 127.049942 \nL 81.263113 124.831816 \nL 83.137722 122.887089 \nL 85.320219 121.266768 \nL 87.76024 120.008867 \nL 90.400505 119.136203 \nL 93.180208 118.655578 \nL 96.038436 118.558434 \nL 98.917237 118.82275 \nL 101.76409 119.415849 \nL 104.53363 120.297713 \nL 107.18858 121.424293 \nL 109.699986 122.750571 \nL 112.046899 124.233004 \nL 114.215652 125.831344 \nL 116.198897 127.509787 \nL 117.994544 129.237534 \nL 119.604698 130.988892 \nL 121.034655 132.743039 \nL 122.292017 134.483592 \nL 124.326434 137.877186 \nL 125.788918 141.10585 \nL 126.76088 144.141555 \nL 127.315293 146.978475 \nL 127.51215 149.623313 \nL 127.396737 152.088922 \nL 126.99957 154.390191 \nL 126.33716 156.541475 \nL 125.413115 158.554865 \nL 124.219242 160.438905 \nL 122.736551 162.197313 \nL 120.936152 163.827495 \nL 118.780218 165.318458 \nL 116.223289 166.647878 \nL 113.214441 167.777962 \nL 109.701079 168.6498 \nL 107.739856 168.962921 \nL 105.635549 169.176027 \nL 103.384786 169.272304 \nL 100.986233 169.232029 \nL 98.441348 169.03231 \nL 95.755286 168.646919 \nL 92.93798 168.04625 \nL 90.005391 167.197499 \nL 86.980908 166.065156 \nL 83.89683 164.611962 \nL 80.795875 162.800432 \nL 77.73249 160.595153 \nL 74.773784 157.965951 \nL 71.999752 154.891978 \nL 69.50241 151.366728 \nL 67.383414 147.403623 \nL 65.749827 143.041683 \nL 64.707809 138.350359 \nL 64.354378 133.432346 \nL 64.76781 128.423073 \nL 65.997785 123.48567 \nL 68.056931 118.800863 \nL 70.915475 114.55225 \nL 74.500569 110.908711 \nL 78.700956 108.006777 \nL 83.376615 105.93633 \nL 88.371757 104.732449 \nL 93.528862 104.375054 \nL 98.701355 104.795911 \nL 103.763091 105.891101 \nL 108.613778 107.535956 \nL 113.180504 109.599629 \nL 117.41621 111.956975 \nL 121.296193 114.496762 \nL 124.813776 117.126048 \nL 127.975903 119.771383 \nL 130.799188 122.377764 \nL 133.306617 124.906282 \nL 135.524974 127.331224 \nL 139.209481 131.816308 \nL 142.081767 135.788663 \nL 145.324204 140.833142 \nL 149.269315 147.174545 \nL 150.701272 149.105428 \nL 152.18869 150.729826 \nL 153.803859 152.059012 \nL 155.609789 153.09291 \nL 157.663281 153.81993 \nL 160.016759 154.216698 \nL 162.718603 154.24775 \nL 165.811587 153.865457 \nL 169.328845 153.010729 \nL 173.286583 151.615437 \nL 177.672574 149.60812 \nL 180.010625 148.354298 \nL 182.429686 146.925128 \nL 184.912051 145.317022 \nL 187.434305 143.529857 \nL 189.966536 141.568151 \nL 192.471654 139.442423 \nL 194.904908 137.170596 \nL 197.213742 134.77943 \nL 199.338148 132.305712 \nL 201.21172 129.797057 \nL 202.763531 127.311977 \nL 203.921029 124.918935 \nL 204.613958 122.694049 \nL 204.779203 120.71728 \nL 204.366281 119.067078 \nL 203.34291 117.81384 \nL 201.699933 117.012814 \nL 199.454726 116.697516 \nL 196.652308 116.874916 \nL 193.363596 117.523416 \nL 189.680806 118.59449 \nL 185.710474 120.017774 \nL 181.565158 121.708978 \nL 173.180698 125.542964 \nL 165.264162 129.472219 \nL 155.216965 134.744891 \nL 149.948935 137.698541 \nL 145.766286 140.272681 \nL 142.520905 142.579456 \nL 140.038527 144.720136 \nL 138.149177 146.76677 \nL 136.701684 148.761755 \nL 135.568589 150.724732 \nL 134.236509 153.617759 \nL 131.198418 160.912472 \nL 129.790018 163.44103 \nL 128.663525 165.056363 \nL 127.340463 166.613149 \nL 125.776513 168.107996 \nL 123.921592 169.53432 \nL 121.718555 170.879879 \nL 119.102419 172.123292 \nL 116.000499 173.22906 \nL 112.334224 174.140532 \nL 110.264366 174.497582 \nL 108.023881 174.770145 \nL 105.604218 174.940326 \nL 102.998391 174.986512 \nL 100.201788 174.88283 \nL 97.213226 174.598619 \nL 94.036255 174.097973 \nL 90.680794 173.339455 \nL 87.16508 172.276102 \nL 83.517929 170.855901 \nL 79.781258 169.022996 \nL 76.012696 166.71989 \nL 72.288028 163.890995 \nL 68.703053 160.487816 \nL 65.374224 156.475994 \nL 62.437327 151.844135 \nL 60.043317 146.613936 \nL 58.350527 140.850432 \nL 57.512884 134.670431 \nL 57.664546 128.246488 \nL 58.902429 121.803584 \nL 61.26947 115.606191 \nL 64.74223 109.93535 \nL 69.226475 105.058051 \nL 74.563101 101.194216 \nL 80.54415 98.488467 \nL 86.935979 96.993386 \nL 93.504643 96.66823 \nL 100.038228 97.392704 \nL 106.362309 98.991308 \nL 112.347139 101.261664 \nL 117.907449 104.000542 \nL 122.99712 107.023344 \nL 127.601318 110.175593 \nL 131.728202 113.337069 \nL 135.4015 116.420597 \nL 138.654536 119.367663 \nL 144.055794 124.727469 \nL 148.252514 129.309673 \nL 154.203476 136.313479 \nL 157.454445 140.003107 \nL 159.375013 141.857213 \nL 161.245277 143.286561 \nL 163.158611 144.323463 \nL 165.184647 144.985642 \nL 167.372586 145.278743 \nL 169.752771 145.199191 \nL 172.336379 144.73764 \nL 175.113217 143.883387 \nL 178.047847 142.630267 \nL 181.074501 140.984294 \nL 184.091878 138.973213 \nL 186.959621 136.657207 \nL 189.499258 134.138835 \nL 190.581788 132.848947 \nL 191.502986 131.568641 \nL 192.235545 130.323623 \nL 192.753482 129.141376 \nL 193.033381 128.05019 \nL 193.055746 127.077965 \nL 192.80632 126.250806 \nL 192.277305 125.591549 \nL 191.468318 125.118298 \nL 190.386986 124.843204 \nL 189.049055 124.771557 \nL 187.477984 124.901412 \nL 185.704012 125.223744 \nL 183.76276 125.723217 \nL 179.537257 127.16831 \nL 175.125522 129.041497 \nL 170.824278 131.144633 \nL 166.864609 133.316852 \nL 163.397399 135.451804 \nL 160.49878 137.494103 \nL 158.186793 139.42438 \nL 156.441084 141.242515 \nL 155.220469 142.954501 \nL 154.476326 144.564423 \nL 154.161632 146.070793 \nL 154.236423 147.465598 \nL 154.670591 148.734632 \nL 155.444886 149.858207 \nL 156.550753 150.811655 \nL 157.989383 151.565411 \nL 159.770184 152.084727 \nL 161.908619 152.32908 \nL 164.423237 152.251598 \nL 167.331478 151.798834 \nL 170.643703 150.911572 \nL 174.354762 149.52755 \nL 178.432401 147.587441 \nL 182.802132 145.045811 \nL 185.057272 143.543231 \nL 187.329091 141.888842 \nL 189.58821 140.09003 \nL 191.799355 138.159681 \nL 193.921183 136.117236 \nL 195.906457 133.989599 \nL 197.702651 131.811817 \nL 199.253164 129.627339 \nL 200.499176 127.48759 \nL 201.382243 125.450743 \nL 201.847603 123.579457 \nL 201.848015 121.937559 \nL 201.347899 120.585743 \nL 200.327284 119.57665 \nL 198.785072 118.949838 \nL 196.741033 118.727418 \nL 194.236034 118.911123 \nL 191.330281 119.481482 \nL 188.099605 120.399432 \nL 184.63022 121.610284 \nL 181.012645 123.049342 \nL 173.681047 126.341766 \nL 166.708862 129.790302 \nL 160.499616 133.067774 \nL 155.246134 136.030554 \nL 150.976828 138.670612 \nL 147.617584 141.048343 \nL 145.044289 143.240524 \nL 143.118532 145.312223 \nL 141.708251 147.307443 \nL 140.697794 149.25014 \nL 139.991408 151.149322 \nL 139.513029 153.004609 \nL 139.099368 155.693283 \nL 138.93366 158.248116 \nL 138.96235 161.412455 \nL 139.196012 164.27415 \nL 139.615976 166.820261 \nL 140.071388 168.518921 \nL 140.679666 170.032537 \nL 141.486394 171.352841 \nL 142.165145 172.118266 \nL 142.984525 172.783574 \nL 143.974521 173.338251 \nL 145.171711 173.767636 \nL 146.620529 174.051536 \nL 148.374668 174.162326 \nL 150.498561 174.062403 \nL 153.068701 173.700775 \nL 156.174447 173.008596 \nL 159.917545 171.893536 \nL 164.409053 170.233172 \nL 169.761362 167.868271 \nL 172.791974 166.360595 \nL 176.071558 164.598408 \nL 179.604783 162.550731 \nL 183.390331 160.185303 \nL 187.418559 157.469916 \nL 191.668635 154.37451 \nL 196.105076 150.874207 \nL 200.673794 146.953551 \nL 205.297768 142.612142 \nL 209.872692 137.871708 \nL 214.263257 132.784454 \nL 218.300959 127.442068 \nL 221.784828 121.984044 \nL 224.48676 116.603154 \nL 226.163303 111.544915 \nL 226.575321 107.097271 \nL 225.515731 103.567075 \nL 222.843101 101.242135 \nL 218.515507 100.342122 \nL 212.61587 100.968013 \nL 205.358826 103.065279 \nL 197.072347 106.416519 \nL 188.154986 110.67203 \nL 179.018907 115.412531 \nL 161.492936 124.766532 \nL 153.587907 128.803022 \nL 146.423432 132.212739 \nL 140.030519 134.969281 \nL 134.389562 137.112469 \nL 129.450515 138.719395 \nL 125.148337 139.881388 \nL 121.413371 140.688735 \nL 118.17756 141.222261 \nL 112.956963 141.726096 \nL 109.057859 141.783986 \nL 106.150821 141.624464 \nL 103.129336 141.231134 \nL 100.764802 140.673654 \nL 99.401707 140.105973 \nL 99.024283 139.759433 \nL 99.102443 139.666848 \nL 99.406953 139.782516 \nL 99.727346 140.112235 \nL 99.903462 140.567104 \nL 99.846592 141.031165 \nL 99.620048 141.328799 \nL 99.256344 141.504079 \nL 98.684706 141.498378 \nL 98.110214 141.22696 \nL 97.684176 140.736791 \nL 97.538616 140.261426 \nL 97.609242 139.797569 \nL 97.896027 139.429477 \nL 98.358414 139.22826 \nL 98.9218 139.236261 \nL 99.491863 139.458121 \nL 99.972511 139.860852 \nL 100.282497 140.381576 \nL 100.367401 140.939368 \nL 100.206292 141.447694 \nL 99.813916 141.825462 \nL 99.239763 142.006666 \nL 98.564335 141.949271 \nL 97.891709 141.643916 \nL 97.336844 141.121048 \nL 97.006897 140.453486 \nL 96.954986 139.922433 \nL 97.087997 139.424736 \nL 97.400456 139.013994 \nL 97.866752 138.73646 \nL 98.443697 138.624666 \nL 99.075722 138.693201 \nL 99.701658 138.937356 \nL 100.424356 139.495177 \nL 100.816776 140.038197 \nL 101.03928 140.635414 \nL 101.069979 141.235521 \nL 100.902217 141.787594 \nL 100.544501 142.244027 \nL 100.020115 142.56296 \nL 99.366498 142.71063 \nL 98.634229 142.664042 \nL 97.885124 142.414075 \nL 97.188808 141.968753 \nL 96.617285 141.355995 \nL 96.237309 140.624616 \nL 96.101321 139.842296 \nL 96.238432 139.089558 \nL 96.647737 138.449912 \nL 97.296075 137.99778 \nL 98.121399 137.787062 \nL 99.041218 137.843292 \nL 99.964009 138.161253 \nL 100.800816 138.708111 \nL 101.474621 139.430235 \nL 101.926291 140.261415 \nL 102.11718 141.130279 \nL 102.029358 141.965865 \nL 101.66472 142.70118 \nL 101.044027 143.275437 \nL 100.206455 143.635883 \nL 99.209556 143.740165 \nL 98.129018 143.560056 \nL 98.129018 143.560056 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p963855f2d1\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,0], result_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# 4th Order Runge-Kutta"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=torch.optim.SGD,\n",
-    "    optimizer_args={\"lr\": 0.01}\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(20000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 9.1793e-01,  2.6634e-01,  1.2636e-03],\n",
-       "        [ 8.6792e-01,  5.1173e-01,  4.6540e-03],\n",
-       "        ...,\n",
-       "        [-8.8668e+00, -1.4836e+01,  1.6847e+01],\n",
-       "        [-9.4751e+00, -1.5664e+01,  1.7779e+01],\n",
-       "        [-1.0103e+01, -1.6452e+01,  1.8857e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 15
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stderr",
-     "text": [
-      "<ipython-input-23-f8e7389386ef>:6: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T17:31:48.180207</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m0d84048e57\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.014948\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(17.462604 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"70.661921\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −15 -->\n      <g transform=\"translate(60.109578 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"113.308895\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −10 -->\n      <g transform=\"translate(102.756551 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"155.955869\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −5 -->\n      <g transform=\"translate(148.584775 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"198.602843\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0 -->\n      <g transform=\"translate(195.421593 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.249816\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5 -->\n      <g transform=\"translate(238.068566 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"283.89679\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(277.53429 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"326.543764\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 15 -->\n      <g transform=\"translate(320.181264 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.190738\" xlink:href=\"#m0d84048e57\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(362.828238 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf20dd04dc3\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf20dd04dc3\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf20dd04dc3\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf20dd04dc3\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf20dd04dc3\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf20dd04dc3\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf20dd04dc3\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pd49988e703)\" d=\"M 207.132237 261.829321 \nL 205.813302 261.779998 \nL 205.825633 261.745412 \nL 206.913812 261.578892 \nL 211.987985 260.884149 \nL 217.342452 259.876397 \nL 222.192245 258.688842 \nL 228.33538 256.800226 \nL 231.980183 255.474279 \nL 236.059968 253.807056 \nL 240.617044 251.714507 \nL 245.694623 249.094254 \nL 251.335133 245.822989 \nL 257.577702 241.754373 \nL 264.454555 236.718134 \nL 271.98603 230.521413 \nL 280.173892 222.953863 \nL 288.992793 213.798506 \nL 298.379783 202.850643 \nL 308.222293 189.947098 \nL 318.345694 175.006907 \nL 328.502365 158.082124 \nL 338.365502 139.412789 \nL 347.531745 119.473861 \nL 355.536951 98.995877 \nL 361.888234 78.938865 \nL 366.112 60.405125 \nL 367.812273 44.493932 \nL 366.72874 32.125386 \nL 362.780352 23.880766 \nL 356.082582 19.909321 \nL 346.932998 19.930314 \nL 335.76898 23.324554 \nL 323.108924 29.279014 \nL 309.491059 36.937415 \nL 295.421799 45.519206 \nL 254.46347 71.301974 \nL 242.112537 78.867868 \nL 230.655567 85.710792 \nL 220.143868 91.825618 \nL 201.954258 102.038584 \nL 181.111257 113.285454 \nL 144.751184 132.521449 \nL 141.361469 133.904007 \nL 138.333196 134.792874 \nL 135.540865 135.204335 \nL 134.206199 135.23505 \nL 132.903033 135.151403 \nL 131.626966 134.955528 \nL 129.148163 134.238442 \nL 126.770875 133.113992 \nL 124.519905 131.627023 \nL 122.43855 129.839778 \nL 120.582986 127.832871 \nL 119.015903 125.70389 \nL 117.799522 123.563332 \nL 116.988251 121.527844 \nL 116.621737 119.711464 \nL 116.612139 118.918003 \nL 116.719015 118.216075 \nL 116.940909 117.615064 \nL 117.274731 117.122625 \nL 117.715804 116.74453 \nL 118.257928 116.484623 \nL 118.893523 116.3448 \nL 119.613756 116.32506 \nL 121.267679 116.636943 \nL 123.131532 117.387077 \nL 125.110404 118.5219 \nL 127.109334 119.974145 \nL 129.039074 121.669199 \nL 130.820336 123.530273 \nL 132.386426 125.48219 \nL 133.684394 127.453685 \nL 134.674981 129.378533 \nL 135.331786 131.195803 \nL 135.640051 132.849693 \nL 135.595357 134.289174 \nL 135.202537 135.467773 \nL 134.879424 135.945973 \nL 134.474923 136.343655 \nL 133.991984 136.656399 \nL 133.434062 136.880194 \nL 132.10978 137.047163 \nL 130.540631 136.822564 \nL 128.774459 136.195115 \nL 126.868877 135.167229 \nL 124.891315 133.758204 \nL 122.918317 132.007176 \nL 121.033665 129.975018 \nL 119.325176 127.744545 \nL 117.879978 125.418206 \nL 116.778525 123.112832 \nL 116.087893 120.95151 \nL 115.855221 119.053444 \nL 115.918522 118.236666 \nL 116.102299 117.523216 \nL 116.404804 116.92232 \nL 116.822458 116.44124 \nL 117.349916 116.085171 \nL 117.980192 115.857184 \nL 118.7048 115.758266 \nL 119.513956 115.787373 \nL 121.341579 116.216296 \nL 123.367377 117.101518 \nL 125.489924 118.380555 \nL 127.609347 119.978327 \nL 129.633242 121.813873 \nL 131.480908 123.805681 \nL 133.085713 125.875232 \nL 134.395882 127.949032 \nL 135.374048 129.959402 \nL 135.996108 131.844427 \nL 136.249718 133.547527 \nL 136.132845 135.016928 \nL 135.652614 136.205325 \nL 135.28078 136.680588 \nL 134.824578 137.069945 \nL 134.287237 137.368872 \nL 133.67251 137.573234 \nL 132.22865 137.684141 \nL 130.534303 137.38021 \nL 128.640609 136.65039 \nL 126.609158 135.498391 \nL 124.512137 133.946319 \nL 122.431562 132.037928 \nL 120.457214 129.840744 \nL 118.683025 127.446145 \nL 117.201726 124.966539 \nL 116.098183 122.529245 \nL 115.441903 120.267111 \nL 115.297227 119.241942 \nL 115.279901 118.307022 \nL 115.39134 117.475327 \nL 115.631 116.75804 \nL 115.99631 116.16434 \nL 116.482755 115.7012 \nL 117.083926 115.373281 \nL 117.791688 115.182946 \nL 118.596354 115.130282 \nL 119.48691 115.213221 \nL 121.476559 115.768083 \nL 123.65594 116.795912 \nL 125.916103 118.225423 \nL 128.151512 119.973877 \nL 130.266202 121.954261 \nL 132.17779 124.080572 \nL 133.819549 126.27123 \nL 135.140753 128.450751 \nL 136.105835 130.550175 \nL 136.692844 132.506685 \nL 136.891698 134.262947 \nL 136.702577 135.766364 \nL 136.465073 136.408022 \nL 136.134687 136.968702 \nL 135.713869 137.443075 \nL 135.205579 137.826098 \nL 134.613295 138.113084 \nL 133.941039 138.299763 \nL 133.19339 138.382339 \nL 131.493215 138.222776 \nL 129.561766 137.616742 \nL 127.458937 136.560494 \nL 125.256064 135.068244 \nL 123.035751 133.17611 \nL 120.890347 130.945264 \nL 118.918845 128.463247 \nL 117.221818 125.842422 \nL 115.894623 123.214745 \nL 115.019376 120.722739 \nL 114.771233 119.5721 \nL 114.656726 118.507404 \nL 114.678917 117.543846 \nL 114.838755 116.694879 \nL 115.135013 115.971919 \nL 115.564299 115.384084 \nL 116.121089 114.938033 \nL 116.797868 114.637872 \nL 117.58529 114.48518 \nL 118.472404 114.479104 \nL 119.446914 114.616506 \nL 120.495469 114.892191 \nL 122.757844 115.829005 \nL 125.142973 117.217582 \nL 127.535919 118.971453 \nL 129.83062 120.998013 \nL 131.934938 123.204995 \nL 133.773404 125.504686 \nL 135.287918 127.81604 \nL 136.437013 130.065344 \nL 137.194151 132.185808 \nL 137.54573 134.116646 \nL 137.489132 135.802169 \nL 137.309556 136.536717 \nL 137.03116 137.190976 \nL 136.656118 137.759167 \nL 136.187092 138.23576 \nL 135.627268 138.61554 \nL 134.980345 138.893636 \nL 134.250584 139.065571 \nL 133.442819 139.127354 \nL 132.562496 139.07556 \nL 130.609313 138.621013 \nL 128.448421 137.69015 \nL 126.149361 136.288235 \nL 123.794149 134.442163 \nL 121.476543 132.204658 \nL 119.299537 129.656954 \nL 117.370846 126.908764 \nL 115.796239 124.094436 \nL 114.671149 121.364703 \nL 114.301894 120.080211 \nL 114.071442 118.874515 \nL 113.984812 117.765211 \nL 114.04481 116.768326 \nL 114.251933 115.897879 \nL 114.604293 115.165551 \nL 115.097644 114.580443 \nL 115.725439 114.148898 \nL 116.479005 113.874447 \nL 117.347736 113.757875 \nL 118.31935 113.797335 \nL 119.380221 113.98856 \nL 120.515658 114.325148 \nL 122.94834 115.399977 \nL 125.491787 116.940051 \nL 128.023918 118.850173 \nL 130.433816 121.030718 \nL 132.626647 123.384192 \nL 134.526116 125.819285 \nL 136.074697 128.252656 \nL 137.232398 130.609155 \nL 137.97465 132.821007 \nL 138.289946 134.826651 \nL 138.177677 136.569489 \nL 137.963567 137.325804 \nL 137.646461 137.997019 \nL 137.228713 138.577161 \nL 136.713188 139.0605 \nL 136.103248 139.44159 \nL 135.402786 139.715314 \nL 134.61626 139.876962 \nL 133.74872 139.922288 \nL 132.805861 139.847626 \nL 130.720464 139.327276 \nL 128.420293 138.302911 \nL 125.978663 136.779659 \nL 123.482566 134.786033 \nL 121.03194 132.378698 \nL 118.737028 129.645587 \nL 116.713378 126.705961 \nL 115.074478 123.706083 \nL 113.922349 120.80986 \nL 113.555038 119.453318 \nL 113.337276 118.184977 \nL 113.274137 117.023669 \nL 113.368267 115.986377 \nL 113.619762 115.087808 \nL 114.026101 114.340008 \nL 114.582184 113.752125 \nL 115.280446 113.330234 \nL 116.111011 113.077322 \nL 117.06198 112.993369 \nL 118.119694 113.075523 \nL 119.269107 113.31835 \nL 120.494143 113.714195 \nL 123.103892 114.925288 \nL 125.813692 116.616878 \nL 128.493892 118.684745 \nL 131.028337 121.02202 \nL 133.319255 123.525881 \nL 135.289338 126.1014 \nL 136.881498 128.66294 \nL 138.057123 131.133915 \nL 138.793502 133.445604 \nL 139.081097 135.535603 \nL 139.056621 136.479335 \nL 138.921141 137.346377 \nL 138.676206 138.130135 \nL 138.323854 138.824189 \nL 137.866606 139.422348 \nL 137.307469 139.918642 \nL 136.649952 140.307359 \nL 135.898094 140.583082 \nL 135.056498 140.740798 \nL 134.130388 140.775943 \nL 133.125648 140.684527 \nL 132.048895 140.463276 \nL 129.709785 139.622548 \nL 127.18264 138.247568 \nL 124.551742 136.354238 \nL 121.916322 133.986458 \nL 119.388916 131.220939 \nL 117.091377 128.169402 \nL 115.148052 124.976538 \nL 113.676393 121.812457 \nL 113.149512 120.29816 \nL 112.775767 118.859435 \nL 112.562885 117.518088 \nL 112.516138 116.294384 \nL 112.638135 115.206485 \nL 112.928659 114.269967 \nL 113.384641 113.497404 \nL 114.000186 112.898135 \nL 114.76671 112.478072 \nL 115.67316 112.239723 \nL 116.706293 112.182293 \nL 117.85102 112.301937 \nL 119.090828 112.59206 \nL 120.408172 113.043708 \nL 123.202577 114.386529 \nL 126.088647 116.227903 \nL 128.928481 118.454175 \nL 131.600087 120.950898 \nL 134.002282 123.609681 \nL 136.056395 126.331817 \nL 137.705528 129.029295 \nL 138.91225 131.624057 \nL 139.65553 134.046414 \nL 139.927642 136.233102 \nL 139.887552 137.219633 \nL 139.731464 138.12559 \nL 139.461081 138.944186 \nL 139.078579 139.668802 \nL 138.586603 140.292987 \nL 137.988258 140.810495 \nL 137.28715 141.215286 \nL 136.487405 141.501621 \nL 135.593722 141.664092 \nL 134.61142 141.697745 \nL 133.546519 141.598176 \nL 132.40579 141.361692 \nL 131.196835 140.985463 \nL 129.928166 140.467697 \nL 127.250537 139.00683 \nL 124.460915 136.993455 \nL 121.663875 134.472017 \nL 118.979055 131.522756 \nL 116.537011 128.264598 \nL 114.471843 124.853249 \nL 113.620966 123.147001 \nL 112.910845 121.473123 \nL 112.354274 119.856712 \nL 111.96204 118.322523 \nL 111.742537 116.894275 \nL 111.701451 115.593967 \nL 111.841547 114.441232 \nL 112.162484 113.452796 \nL 112.660773 112.642027 \nL 113.329833 112.018664 \nL 114.160138 111.58866 \nL 115.139463 111.354167 \nL 116.25323 111.31373 \nL 117.484888 111.462557 \nL 118.81637 111.792897 \nL 120.22856 112.294483 \nL 121.701756 112.955047 \nL 124.752049 114.6969 \nL 127.813867 116.898198 \nL 130.748425 119.434659 \nL 133.438325 122.187146 \nL 135.7906 125.046837 \nL 137.736657 127.917102 \nL 139.230068 130.713058 \nL 140.243227 133.359823 \nL 140.763706 135.790247 \nL 140.838623 136.904919 \nL 140.790927 137.942728 \nL 140.621979 138.896535 \nL 140.333607 139.759367 \nL 139.928089 140.524371 \nL 139.408143 141.18484 \nL 138.776928 141.7342 \nL 138.038089 142.16607 \nL 137.195769 142.474297 \nL 136.254688 142.653035 \nL 135.220192 142.696849 \nL 134.098335 142.600821 \nL 132.895961 142.360711 \nL 131.620784 141.973143 \nL 130.28147 141.43579 \nL 128.88772 140.747592 \nL 127.450339 139.908997 \nL 124.493623 137.79147 \nL 121.52072 135.126372 \nL 118.658264 131.995722 \nL 116.045896 128.524294 \nL 113.828544 124.87828 \nL 112.911992 123.051164 \nL 112.145045 121.256886 \nL 111.541832 119.522861 \nL 111.114311 117.876166 \nL 110.871861 116.3428 \nL 110.820916 114.946884 \nL 110.964681 113.709938 \nL 111.302969 112.650255 \nL 111.832111 111.782401 \nL 112.545014 111.11686 \nL 113.431348 110.659911 \nL 114.477797 110.413621 \nL 115.668474 110.376036 \nL 116.985347 110.541541 \nL 118.408746 110.901275 \nL 119.917871 111.443689 \nL 121.491339 112.155081 \nL 124.745785 114.0227 \nL 128.006942 116.372424 \nL 131.126624 119.069959 \nL 133.980775 121.988305 \nL 136.472418 125.013013 \nL 138.531168 128.04373 \nL 140.110439 130.993288 \nL 141.183483 133.785407 \nL 141.739183 136.352008 \nL 141.822893 137.531047 \nL 141.778313 138.630572 \nL 141.606928 139.643292 \nL 141.310658 140.562032 \nL 140.891845 141.37971 \nL 140.353235 142.089341 \nL 139.697991 142.684018 \nL 138.929722 143.156965 \nL 138.052527 143.501581 \nL 137.071059 143.711512 \nL 135.990589 143.780749 \nL 134.817103 143.703752 \nL 133.557394 143.475603 \nL 132.219157 143.092216 \nL 130.811096 142.550519 \nL 129.343003 141.848724 \nL 127.825873 140.986563 \nL 126.271928 139.965595 \nL 124.694702 138.789484 \nL 123.109017 137.464269 \nL 121.530953 135.998618 \nL 118.467719 132.695144 \nL 117.019893 130.889413 \nL 115.65389 129.007441 \nL 114.389475 127.072613 \nL 113.246172 125.110812 \nL 112.242778 123.149919 \nL 111.396887 121.219244 \nL 110.724322 119.348745 \nL 110.238641 117.568198 \nL 109.950648 115.906337 \nL 109.867963 114.389926 \nL 109.994687 113.042943 \nL 110.331169 111.885835 \nL 110.873935 110.934908 \nL 111.615699 110.201958 \nL 112.545559 109.694057 \nL 113.64929 109.413578 \nL 114.909792 109.358388 \nL 116.307551 109.522256 \nL 117.821232 109.895367 \nL 119.428262 110.464917 \nL 121.105425 111.215769 \nL 122.829409 112.131102 \nL 126.327208 114.383113 \nL 129.751205 117.074391 \nL 132.954714 120.063122 \nL 135.820135 123.220352 \nL 138.259865 126.433185 \nL 140.214001 129.604539 \nL 141.646168 132.650919 \nL 142.53868 135.499224 \nL 142.780996 136.828314 \nL 142.887912 138.083584 \nL 142.860549 139.257465 \nL 142.700483 140.342513 \nL 142.409707 141.33138 \nL 141.990585 142.216754 \nL 141.445858 142.991374 \nL 140.778628 143.648006 \nL 139.992415 144.179465 \nL 139.091191 144.578668 \nL 138.079439 144.838699 \nL 136.962251 144.952898 \nL 135.745418 144.914998 \nL 134.435533 144.719276 \nL 133.040108 144.360748 \nL 131.5677 143.835394 \nL 130.028014 143.140412 \nL 128.432022 142.274528 \nL 126.792057 141.238279 \nL 125.121865 140.034372 \nL 123.43664 138.667994 \nL 121.753035 137.147134 \nL 120.089065 135.482833 \nL 118.463993 133.689436 \nL 116.898123 131.784662 \nL 115.412505 129.789659 \nL 114.028574 127.728824 \nL 112.767731 125.629525 \nL 111.650798 123.521614 \nL 110.697503 121.436791 \nL 109.92583 119.40781 \nL 109.351478 117.467547 \nL 108.98725 115.64799 \nL 108.842566 113.979221 \nL 108.923038 112.488425 \nL 109.23018 111.198986 \nL 109.761241 110.129812 \nL 110.509252 109.294767 \nL 111.463141 108.702464 \nL 112.608096 108.356193 \nL 113.925985 108.254174 \nL 115.395936 108.38995 \nL 116.994937 108.752985 \nL 118.698537 109.329367 \nL 120.481495 110.102542 \nL 122.318431 111.054073 \nL 124.184407 112.164333 \nL 127.908892 114.78048 \nL 131.481331 117.792424 \nL 134.758178 121.053242 \nL 137.629265 124.433684 \nL 140.016659 127.823389 \nL 141.87067 131.12893 \nL 143.164457 134.270391 \nL 143.597749 135.75738 \nL 143.888472 137.177561 \nL 144.037325 138.52308 \nL 144.045536 139.786283 \nL 143.914766 140.959599 \nL 143.647055 142.035538 \nL 143.244775 143.006607 \nL 142.710614 143.865286 \nL 142.047586 144.604024 \nL 141.259054 145.215254 \nL 140.348777 145.691417 \nL 139.320988 146.025 \nL 138.180467 146.208666 \nL 136.932663 146.235323 \nL 135.583802 146.098323 \nL 134.14102 145.791627 \nL 132.612498 145.310029 \nL 131.007607 144.649455 \nL 129.337041 143.807253 \nL 127.612943 142.782544 \nL 125.848987 141.57658 \nL 124.060481 140.193131 \nL 122.264355 138.638887 \nL 120.479152 136.923759 \nL 118.724933 135.061211 \nL 117.023074 133.068465 \nL 115.396034 130.966592 \nL 113.866979 128.78044 \nL 112.45932 126.538418 \nL 111.196191 124.272055 \nL 110.099846 122.015345 \nL 109.190989 119.803952 \nL 108.488074 117.674177 \nL 108.006664 115.661845 \nL 107.758789 113.801124 \nL 107.752436 112.123352 \nL 107.991136 110.65595 \nL 108.473734 109.421539 \nL 109.194316 108.437237 \nL 110.142332 107.714267 \nL 111.302896 107.257854 \nL 112.657275 107.067385 \nL 114.183467 107.136862 \nL 115.856897 107.455518 \nL 117.651185 108.00862 \nL 119.538904 108.778322 \nL 121.492307 109.74454 \nL 123.484039 110.885783 \nL 125.487703 112.17993 \nL 129.43296 115.13896 \nL 133.152381 118.453103 \nL 136.506195 121.971819 \nL 139.391752 125.566498 \nL 141.740428 129.129668 \nL 143.512059 132.57153 \nL 144.175111 134.222655 \nL 144.688448 135.815536 \nL 145.052212 137.341946 \nL 145.267205 138.793962 \nL 145.334752 140.163852 \nL 145.256594 141.44399 \nL 145.034821 142.62678 \nL 144.671805 143.704613 \nL 144.170177 144.669779 \nL 143.532829 145.514487 \nL 142.762929 146.230836 \nL 141.863971 146.810815 \nL 140.839831 147.246379 \nL 139.694876 147.529499 \nL 138.434057 147.652242 \nL 137.063047 147.606955 \nL 135.588378 147.386422 \nL 134.017602 146.98408 \nL 132.359453 146.394293 \nL 130.624003 145.612697 \nL 128.822833 144.636528 \nL 126.969148 143.465049 \nL 125.077932 142.099962 \nL 123.165989 140.545871 \nL 121.251988 138.810707 \nL 119.356396 136.906144 \nL 117.501368 134.847893 \nL 115.71052 132.655962 \nL 114.008613 130.354711 \nL 112.421105 127.972742 \nL 110.973605 125.542567 \nL 109.691246 123.10003 \nL 108.59796 120.68349 \nL 107.715701 118.332819 \nL 107.063667 116.088127 \nL 106.657548 113.988474 \nL 106.508853 112.070458 \nL 106.624343 110.366898 \nL 107.005662 108.905668 \nL 107.649131 107.708765 \nL 108.545795 106.791681 \nL 109.681648 106.163094 \nL 111.038085 105.824947 \nL 112.59251 105.772837 \nL 114.319114 105.996652 \nL 116.189694 106.481454 \nL 118.174528 107.208443 \nL 120.243258 108.155993 \nL 122.365675 109.300662 \nL 124.512454 110.618098 \nL 126.655759 112.083806 \nL 128.7697 113.673836 \nL 132.817758 117.136404 \nL 136.499037 120.839493 \nL 139.697682 124.642438 \nL 142.336393 128.429414 \nL 143.430651 130.286565 \nL 144.370162 132.105472 \nL 145.153122 133.876661 \nL 145.778814 135.591301 \nL 146.247404 137.241057 \nL 146.559772 138.81795 \nL 146.717333 140.314229 \nL 146.721933 141.722259 \nL 146.575728 143.034442 \nL 146.281117 144.243123 \nL 145.840699 145.340524 \nL 145.257257 146.318722 \nL 144.533759 147.169583 \nL 143.673398 147.884783 \nL 142.679655 148.455826 \nL 141.556382 148.87408 \nL 140.307911 149.130848 \nL 138.939182 149.21749 \nL 137.455907 149.125586 \nL 135.864719 148.847107 \nL 134.173369 148.374695 \nL 132.390912 147.701979 \nL 130.527901 146.823905 \nL 128.59657 145.737192 \nL 126.610996 144.440768 \nL 124.587248 142.936308 \nL 122.54349 141.228711 \nL 120.499984 139.326645 \nL 118.479058 137.243009 \nL 116.504978 134.995332 \nL 114.603667 132.606014 \nL 112.80235 130.102412 \nL 111.129018 127.516702 \nL 109.611831 124.885457 \nL 108.27834 122.248958 \nL 107.154657 119.650216 \nL 106.264565 117.133706 \nL 105.62862 114.743929 \nL 105.263269 112.523809 \nL 105.180121 110.513103 \nL 105.385332 108.746871 \nL 105.87922 107.254199 \nL 106.656091 106.057172 \nL 107.704354 105.170286 \nL 109.00687 104.600257 \nL 110.541545 104.346225 \nL 112.282091 104.400373 \nL 114.198946 104.748768 \nL 116.260259 105.372504 \nL 118.432896 106.248865 \nL 120.683436 107.352533 \nL 122.979015 108.656717 \nL 125.288129 110.134175 \nL 127.581243 111.75802 \nL 129.831271 113.502389 \nL 132.013877 115.342892 \nL 134.107685 117.256928 \nL 137.958312 121.224794 \nL 139.687055 123.243049 \nL 141.270515 125.263476 \nL 142.701036 127.272593 \nL 143.973048 129.258296 \nL 145.082805 131.209687 \nL 146.0281 133.116853 \nL 146.807993 134.970684 \nL 147.422582 136.762675 \nL 147.872769 138.484788 \nL 148.160063 140.129281 \nL 148.286433 141.688578 \nL 148.254156 143.155157 \nL 148.065726 144.521449 \nL 147.723777 145.779762 \nL 147.231048 146.922182 \nL 146.590369 147.940557 \nL 145.804681 148.826439 \nL 144.877069 149.571081 \nL 143.810854 150.165461 \nL 142.609676 150.600288 \nL 141.277629 150.866118 \nL 139.819411 150.953448 \nL 138.240494 150.852875 \nL 136.54731 150.555297 \nL 134.747474 150.052229 \nL 132.849998 149.336091 \nL 130.865522 148.400645 \nL 128.806532 147.241451 \nL 126.687572 145.856395 \nL 124.525412 144.246271 \nL 122.339182 142.415414 \nL 120.150438 140.37229 \nL 117.983128 138.130068 \nL 115.863453 135.707136 \nL 113.819629 133.127407 \nL 111.881446 130.420504 \nL 110.079722 127.62161 \nL 108.445605 124.771047 \nL 107.009704 121.91349 \nL 105.801123 119.096856 \nL 104.846429 116.370845 \nL 104.168601 113.785241 \nL 103.786038 111.38802 \nL 103.71165 109.223483 \nL 103.952172 107.330469 \nL 104.50771 105.740821 \nL 105.371585 104.47827 \nL 106.530433 103.55776 \nL 107.964675 102.985282 \nL 109.649192 102.758214 \nL 111.554285 102.866088 \nL 113.646711 103.291729 \nL 115.890873 104.012556 \nL 118.249981 105.002044 \nL 120.687137 106.231116 \nL 123.166347 107.669458 \nL 125.65339 109.286653 \nL 128.116446 111.053077 \nL 130.526608 112.94059 \nL 132.858205 114.922992 \nL 135.088946 116.976305 \nL 137.199922 119.078858 \nL 139.175515 121.211283 \nL 141.003203 123.356367 \nL 142.673302 125.498887 \nL 144.178662 127.62538 \nL 145.514348 129.723895 \nL 146.677325 131.783772 \nL 147.666122 133.795377 \nL 148.480549 135.749907 \nL 149.121415 137.63917 \nL 149.590278 139.455417 \nL 149.889249 141.191164 \nL 150.020792 142.839074 \nL 149.987604 144.391788 \nL 149.792488 145.841851 \nL 149.438285 147.18161 \nL 148.927836 148.403123 \nL 148.263962 149.498093 \nL 147.449486 150.457853 \nL 146.487284 151.273311 \nL 145.380365 151.934947 \nL 144.131975 152.432878 \nL 142.745729 152.756864 \nL 141.225789 152.896448 \nL 139.577035 152.841085 \nL 137.80529 152.580384 \nL 135.917559 152.104327 \nL 133.922277 151.403652 \nL 131.829579 150.470263 \nL 129.65156 149.297741 \nL 127.402534 147.881932 \nL 125.099276 146.221602 \nL 122.761204 144.319144 \nL 120.410491 142.181313 \nL 118.072109 139.819944 \nL 115.773764 137.252606 \nL 113.545627 134.503105 \nL 111.419972 131.601772 \nL 109.430616 128.585493 \nL 107.612128 125.497366 \nL 105.998932 122.38593 \nL 104.624209 119.304003 \nL 103.518706 116.307072 \nL 102.709501 113.45137 \nL 102.218801 110.791668 \nL 102.062843 108.379032 \nL 102.251029 106.258654 \nL 102.785271 104.467945 \nL 103.659754 103.035095 \nL 104.860989 101.978159 \nL 106.368277 101.304811 \nL 108.154464 101.012668 \nL 110.187021 101.090172 \nL 112.429272 101.517928 \nL 114.84174 102.270292 \nL 117.383527 103.317086 \nL 120.013612 104.625298 \nL 122.692005 106.160625 \nL 125.380746 107.888824 \nL 128.044669 109.776776 \nL 130.651977 111.793261 \nL 133.174579 113.909477 \nL 135.58826 116.099303 \nL 137.87267 118.339411 \nL 140.011193 120.609172 \nL 141.990691 122.890491 \nL 143.801207 125.167581 \nL 145.435609 127.426663 \nL 146.889194 129.655672 \nL 148.159327 131.843986 \nL 149.245064 133.982134 \nL 150.146808 136.061531 \nL 150.865991 138.074284 \nL 151.404801 140.012949 \nL 151.765942 141.870378 \nL 151.952416 143.639538 \nL 151.967383 145.313378 \nL 151.814011 146.884712 \nL 151.495412 148.346086 \nL 151.014563 149.68972 \nL 150.374307 150.907396 \nL 149.577349 151.990425 \nL 148.626303 152.929583 \nL 147.52378 153.715083 \nL 146.27247 154.336589 \nL 144.8753 154.783223 \nL 143.33559 155.043675 \nL 141.657247 155.106272 \nL 139.844998 154.959186 \nL 137.904646 154.590659 \nL 135.843346 153.989323 \nL 133.669911 153.144605 \nL 131.39512 152.047232 \nL 129.032038 150.689858 \nL 126.59633 149.067735 \nL 124.106513 147.179534 \nL 121.5842 145.028182 \nL 119.05424 142.621756 \nL 116.54473 139.97434 \nL 114.086913 137.106803 \nL 111.714888 134.047381 \nL 109.465105 130.831955 \nL 107.375665 127.504034 \nL 105.485367 124.114205 \nL 103.832566 120.719103 \nL 102.453841 117.379843 \nL 101.382566 114.159949 \nL 100.647457 111.122927 \nL 100.271149 108.329535 \nL 100.269002 105.835099 \nL 100.648164 103.687 \nL 101.407002 101.922624 \nL 102.534948 100.567909 \nL 104.012797 99.636674 \nL 105.813471 99.130677 \nL 107.903082 99.040466 \nL 110.242342 99.346732 \nL 112.788091 100.022204 \nL 115.494946 101.033661 \nL 118.316869 102.344093 \nL 121.208584 103.914556 \nL 124.126841 105.705925 \nL 127.031392 107.680271 \nL 129.885729 109.801836 \nL 132.657549 112.037734 \nL 135.318995 114.358322 \nL 137.846677 116.737306 \nL 140.221545 119.151674 \nL 142.428611 121.581485 \nL 144.456593 124.009574 \nL 146.297499 126.421205 \nL 147.946189 128.803711 \nL 149.399916 131.146124 \nL 150.657892 133.438878 \nL 151.720886 135.673484 \nL 152.590842 137.842259 \nL 153.270545 139.938085 \nL 153.763347 141.954197 \nL 154.0729 143.884011 \nL 154.202971 145.720954 \nL 154.157285 147.458319 \nL 153.939401 149.089149 \nL 153.552633 150.606115 \nL 153.000015 152.001438 \nL 152.284281 153.266774 \nL 151.407904 154.393167 \nL 150.373136 155.370992 \nL 149.182117 156.189894 \nL 147.836978 156.838795 \nL 146.340009 157.305906 \nL 144.693837 157.578787 \nL 142.901651 157.644446 \nL 140.967461 157.489514 \nL 138.896384 157.100491 \nL 136.694963 156.464067 \nL 134.371516 155.567575 \nL 131.936512 154.39953 \nL 129.402945 152.950308 \nL 126.786705 151.212963 \nL 124.106944 149.184144 \nL 121.386342 146.865116 \nL 118.65135 144.262825 \nL 115.932252 141.390981 \nL 113.263099 138.271048 \nL 110.681446 134.933023 \nL 108.227802 131.415924 \nL 105.944864 127.767835 \nL 103.876426 124.045389 \nL 102.066072 120.312609 \nL 100.555588 116.639086 \nL 99.383278 113.09754 \nL 98.582199 109.760816 \nL 98.178455 106.698628 \nL 98.189745 103.974244 \nL 98.624213 101.641389 \nL 99.479767 99.741811 \nL 100.743937 98.303545 \nL 102.394257 97.34016 \nL 104.399183 96.851042 \nL 106.719466 96.822471 \nL 109.30983 97.229568 \nL 112.120886 98.038558 \nL 115.101036 99.209406 \nL 118.198369 100.698346 \nL 121.362297 102.460158 \nL 124.54495 104.450177 \nL 127.702273 106.625784 \nL 130.794807 108.947501 \nL 133.788119 111.379618 \nL 136.65299 113.890503 \nL 139.365377 116.452588 \nL 141.906151 119.042201 \nL 144.260736 121.639221 \nL 146.418639 124.226643 \nL 148.372941 126.790163 \nL 150.119745 129.317706 \nL 151.657671 131.799044 \nL 152.98733 134.225362 \nL 154.110879 136.58896 \nL 155.031593 138.882929 \nL 155.753492 141.100905 \nL 156.28104 143.236842 \nL 156.618872 145.284826 \nL 156.771585 147.238896 \nL 156.743567 149.09291 \nL 156.538872 150.840398 \nL 156.161145 152.474471 \nL 155.613567 153.987677 \nL 154.89885 155.371939 \nL 154.019259 156.618454 \nL 152.97667 157.717596 \nL 151.772648 158.658879 \nL 150.408577 159.430896 \nL 148.885814 160.021315 \nL 147.205869 160.416892 \nL 145.37064 160.603505 \nL 143.382679 160.566312 \nL 141.24549 160.28991 \nL 138.963882 159.758643 \nL 136.544345 158.956982 \nL 133.995477 157.870069 \nL 131.328431 156.484362 \nL 128.557363 154.788486 \nL 125.699902 152.774221 \nL 122.777562 150.437663 \nL 119.816112 147.780468 \nL 116.845804 144.811228 \nL 113.901501 141.546774 \nL 111.022524 138.01339 \nL 108.252295 134.247762 \nL 105.637641 130.297473 \nL 103.227759 126.22091 \nL 101.072854 122.086458 \nL 99.222407 117.970798 \nL 97.723221 113.956391 \nL 96.617294 110.128157 \nL 95.939702 106.569589 \nL 95.716579 103.358613 \nL 95.963511 100.563546 \nL 96.68437 98.239552 \nL 97.870768 96.426071 \nL 99.502242 95.145339 \nL 101.547066 94.40218 \nL 103.963691 94.185034 \nL 106.702701 94.468049 \nL 109.709011 95.213868 \nL 112.92425 96.376812 \nL 116.289046 97.90615 \nL 119.745108 99.749007 \nL 123.23705 101.853014 \nL 126.713765 104.168215 \nL 130.129424 106.648509 \nL 133.444092 109.252475 \nL 136.623983 111.943772 \nL 139.64143 114.691111 \nL 142.474586 117.468007 \nL 145.107009 120.252337 \nL 147.527079 123.025808 \nL 149.727385 125.773367 \nL 151.704081 128.482652 \nL 153.456238 131.143483 \nL 154.985264 133.747373 \nL 156.294323 136.287135 \nL 157.387853 138.756511 \nL 158.271129 141.149886 \nL 158.949872 143.462035 \nL 159.429965 145.687905 \nL 159.717173 147.822445 \nL 159.816956 149.86043 \nL 159.734304 151.796339 \nL 159.473637 153.624231 \nL 159.038739 155.337598 \nL 158.432716 156.929284 \nL 157.658009 158.391365 \nL 156.71641 159.715059 \nL 155.609154 160.890614 \nL 154.336992 161.907239 \nL 152.900326 162.753019 \nL 151.299377 163.414876 \nL 149.534371 163.878522 \nL 147.605802 164.128507 \nL 145.514682 164.148275 \nL 143.262898 163.920327 \nL 140.853577 163.426444 \nL 138.291516 162.648082 \nL 135.583656 161.566881 \nL 132.739612 160.165339 \nL 129.772224 158.427706 \nL 126.698131 156.341085 \nL 123.538311 153.896729 \nL 120.318606 151.091549 \nL 117.070122 147.929783 \nL 113.829512 144.424703 \nL 110.638969 140.600286 \nL 107.546004 136.492616 \nL 104.6028 132.150903 \nL 101.865156 127.637781 \nL 99.391022 123.028755 \nL 97.238533 118.410552 \nL 95.463701 113.878351 \nL 94.117822 109.53192 \nL 93.244796 105.470868 \nL 92.878575 101.789384 \nL 93.040951 98.571002 \nL 93.739928 95.883905 \nL 94.968861 93.777344 \nL 96.706487 92.279447 \nL 98.917819 91.396896 \nL 101.555826 91.116005 \nL 104.56382 91.405469 \nL 107.878175 92.219855 \nL 111.431271 93.503802 \nL 115.15434 95.196128 \nL 118.980072 97.233663 \nL 122.844775 99.554404 \nL 126.690086 102.099994 \nL 130.464116 104.817307 \nL 134.122144 107.659392 \nL 137.626853 110.585785 \nL 140.948207 113.562354 \nL 144.063057 116.560855 \nL 146.954532 119.558293 \nL 149.611334 122.536163 \nL 152.026954 125.479722 \nL 154.198884 128.377294 \nL 156.127844 131.2196 \nL 157.817066 133.999213 \nL 159.271655 136.710087 \nL 160.498006 139.34715 \nL 161.503295 141.906001 \nL 162.295072 144.382602 \nL 162.88091 146.773087 \nL 163.268113 149.073581 \nL 163.463502 151.280028 \nL 163.473243 153.388054 \nL 163.302725 155.392855 \nL 162.956481 157.289084 \nL 162.43815 159.070722 \nL 161.750459 160.730966 \nL 160.895247 162.262121 \nL 159.87351 163.655492 \nL 158.685484 164.901261 \nL 157.330747 165.988366 \nL 155.808346 166.904407 \nL 154.116976 167.635539 \nL 152.255181 168.166414 \nL 150.22159 168.480123 \nL 148.015232 168.558249 \nL 145.635874 168.380909 \nL 143.084424 167.926974 \nL 140.363419 167.17437 \nL 137.477544 166.100556 \nL 134.43426 164.683187 \nL 131.244444 162.901062 \nL 127.923102 160.735281 \nL 124.490109 158.170737 \nL 120.970876 155.197889 \nL 117.397022 151.814787 \nL 113.806834 148.029295 \nL 110.245531 143.861353 \nL 106.765188 139.345083 \nL 103.424267 134.530499 \nL 100.286588 129.484474 \nL 97.41974 124.290646 \nL 94.892887 119.048 \nL 92.774001 113.867893 \nL 91.12669 108.86949 \nL 90.00674 104.173927 \nL 89.458751 99.89747 \nL 89.51312 96.144549 \nL 90.183717 93.001288 \nL 91.466507 90.53038 \nL 93.339365 88.768013 \nL 95.76301 87.723028 \nL 98.683089 87.378336 \nL 102.033129 87.694438 \nL 105.738026 88.614211 \nL 109.717796 90.068456 \nL 113.891227 91.981391 \nL 118.179156 94.275628 \nL 122.50717 96.876302 \nL 126.807691 99.713986 \nL 131.021326 102.726657 \nL 135.097601 105.860598 \nL 138.99515 109.07057 \nL 142.681444 112.319399 \nL 146.132195 115.577232 \nL 149.330543 118.820549 \nL 152.266101 122.031162 \nL 154.933982 125.195224 \nL 157.333785 128.302316 \nL 159.468684 131.344649 \nL 161.344559 134.316415 \nL 162.969232 137.213223 \nL 164.351797 140.031664 \nL 165.502059 142.768966 \nL 166.430054 145.422697 \nL 167.145673 147.990571 \nL 167.658339 150.470253 \nL 167.976781 152.859236 \nL 168.108847 155.154707 \nL 168.061381 157.353432 \nL 167.840133 159.451679 \nL 167.449709 161.445094 \nL 166.893555 163.328588 \nL 166.173963 165.096256 \nL 165.292107 166.741228 \nL 164.248089 168.255553 \nL 163.041017 169.630064 \nL 161.669096 170.854218 \nL 160.129763 171.915976 \nL 158.419827 172.801619 \nL 156.535651 173.495616 \nL 154.473379 173.980514 \nL 152.229204 174.236813 \nL 149.799711 174.242956 \nL 147.182247 173.975356 \nL 144.375413 173.408524 \nL 141.379604 172.515389 \nL 138.197671 171.267803 \nL 134.835653 169.637279 \nL 131.303605 167.596079 \nL 127.616514 165.118646 \nL 123.795248 162.18345 \nL 119.867512 158.775269 \nL 115.86874 154.887873 \nL 111.842824 150.527051 \nL 107.842555 145.71373 \nL 103.929673 140.486968 \nL 100.174303 134.90648 \nL 96.653744 129.054116 \nL 93.450422 123.033883 \nL 90.648957 116.970028 \nL 88.332505 111.002853 \nL 86.578432 105.282274 \nL 85.453699 99.959454 \nL 85.010358 95.17724 \nL 85.281619 91.06047 \nL 86.279018 87.707451 \nL 87.990956 85.183592 \nL 90.382934 83.518287 \nL 93.399404 82.705144 \nL 96.96706 82.70545 \nL 100.99919 83.45414 \nL 105.400584 84.867279 \nL 110.072507 86.84993 \nL 114.917308 89.303481 \nL 119.842328 92.131769 \nL 124.76294 95.245578 \nL 129.604593 98.565662 \nL 134.303985 102.024078 \nL 138.809408 105.564533 \nL 143.080483 109.141759 \nL 147.087409 112.720401 \nL 150.809901 116.273582 \nL 154.235944 119.781457 \nL 157.36051 123.229796 \nL 160.184255 126.608708 \nL 162.712315 129.91156 \nL 164.953203 133.134114 \nL 166.917838 136.273787 \nL 168.618696 139.329123 \nL 170.069113 142.299349 \nL 171.282701 145.184081 \nL 172.272876 147.983099 \nL 173.052491 150.696154 \nL 173.63355 153.322864 \nL 174.027002 155.862607 \nL 174.242589 158.314435 \nL 174.28874 160.677019 \nL 174.172524 162.948569 \nL 173.899603 165.12676 \nL 173.474242 167.208664 \nL 172.899317 169.190645 \nL 172.176337 171.068292 \nL 171.305501 172.836266 \nL 170.285735 174.488194 \nL 169.114764 176.016509 \nL 167.789182 177.412281 \nL 166.304545 178.665044 \nL 164.655467 179.762589 \nL 162.835765 180.690743 \nL 160.838608 181.433147 \nL 158.656721 181.971025 \nL 156.282634 182.282974 \nL 153.708994 182.344796 \nL 150.928946 182.129354 \nL 147.936623 181.60656 \nL 144.727733 180.743494 \nL 141.300275 179.504729 \nL 137.655384 177.852935 \nL 133.798339 175.749875 \nL 129.739703 173.157841 \nL 125.496594 170.041697 \nL 121.094053 166.371504 \nL 116.566408 162.125934 \nL 111.958583 157.296251 \nL 107.327152 151.890846 \nL 102.740956 145.939966 \nL 98.281101 139.500216 \nL 94.040026 132.658038 \nL 90.119457 125.531535 \nL 86.627108 118.269591 \nL 83.672051 111.047681 \nL 81.358967 104.060015 \nL 79.781628 97.5082 \nL 79.01621 91.587326 \nL 79.115171 86.471155 \nL 80.1025 82.298429 \nL 81.970973 79.162383 \nL 84.681912 77.105003 \nL 88.167469 76.11695 \nL 92.335165 76.142613 \nL 97.07409 77.089407 \nL 102.261986 78.839277 \nL 107.772373 81.260812 \nL 113.481089 84.22013 \nL 119.271685 87.589721 \nL 125.039424 91.254518 \nL 130.693828 95.115409 \nL 136.159928 99.090566 \nL 141.378372 103.114934 \nL 146.304702 107.138794 \nL 150.908045 111.125577 \nL 155.169464 115.049534 \nL 159.080138 118.89348 \nL 162.639546 122.646726 \nL 165.853754 126.30337 \nL 168.733825 129.860867 \nL 171.294432 133.318957 \nL 173.552683 136.678817 \nL 175.527113 139.942487 \nL 177.236881 143.112415 \nL 178.701122 146.191194 \nL 179.938443 149.181379 \nL 180.966553 152.085343 \nL 181.801979 154.905249 \nL 182.459885 157.642991 \nL 182.953941 160.300157 \nL 183.296263 162.878059 \nL 183.497385 165.377701 \nL 183.566255 167.799781 \nL 183.510264 170.144653 \nL 183.335283 172.412338 \nL 183.045711 174.60248 \nL 182.644516 176.714294 \nL 182.133296 178.746538 \nL 181.512317 180.697432 \nL 180.780561 182.564578 \nL 179.935761 184.344876 \nL 178.974437 186.034398 \nL 177.891927 187.628261 \nL 176.682409 189.120454 \nL 175.338931 190.503668 \nL 173.853439 191.769062 \nL 172.216811 192.906023 \nL 170.418905 193.901884 \nL 168.448623 194.741588 \nL 166.294017 195.407349 \nL 163.942415 195.878253 \nL 161.380614 196.129855 \nL 158.595149 196.133759 \nL 155.572643 195.857212 \nL 152.30029 195.262794 \nL 148.766472 194.308168 \nL 144.961572 192.946086 \nL 140.878989 191.124668 \nL 136.516396 188.788148 \nL 131.877294 185.878261 \nL 126.972817 182.336433 \nL 121.823795 178.107053 \nL 116.46307 173.141967 \nL 110.93783 167.406347 \nL 105.311872 160.885888 \nL 99.667448 153.595057 \nL 94.106304 145.585714 \nL 88.749476 136.955057 \nL 83.735312 127.851319 \nL 79.215312 118.475426 \nL 75.347518 109.076751 \nL 72.287603 99.941753 \nL 70.178095 91.375271 \nL 69.136901 83.676089 \nL 69.246454 77.109673 \nL 70.545154 71.882833 \nL 73.022501 68.124496 \nL 76.618798 65.876418 \nL 81.229576 65.095157 \nL 86.714039 65.66419 \nL 92.906215 67.413334 \nL 99.627168 70.141192 \nL 106.696747 73.636818 \nL 113.943604 77.697556 \nL 121.212806 82.141661 \nL 128.370763 86.815427 \nL 135.307664 91.595631 \nL 141.937842 96.388467 \nL 148.198587 101.126322 \nL 154.047928 105.763383 \nL 159.461859 110.271128 \nL 164.431354 114.633997 \nL 168.959422 118.845733 \nL 173.0584 122.906394 \nL 176.747527 126.820036 \nL 180.050887 130.593022 \nL 182.99568 134.232816 \nL 185.610837 137.747197 \nL 187.925918 141.143734 \nL 189.970271 144.429516 \nL 191.772414 147.611012 \nL 193.359594 150.694011 \nL 194.757493 153.683641 \nL 197.079426 159.400402 \nL 198.908018 164.791444 \nL 200.384948 169.880326 \nL 202.190016 176.987023 \nL 204.819823 187.537194 \nL 205.935602 191.330068 \nL 207.174146 194.884947 \nL 208.591082 198.200123 \nL 210.24494 201.267827 \nL 212.200206 204.07195 \nL 213.313374 205.367048 \nL 214.530268 206.584652 \nL 215.861918 207.718652 \nL 217.320262 208.76148 \nL 218.918211 209.703839 \nL 220.669724 210.534362 \nL 222.589848 211.239243 \nL 224.694745 211.801765 \nL 227.00169 212.201787 \nL 229.529002 212.415153 \nL 232.295931 212.413029 \nL 235.322443 212.161179 \nL 238.628887 211.619219 \nL 242.23551 210.739873 \nL 246.161749 209.468303 \nL 250.4253 207.741645 \nL 255.040816 205.488888 \nL 260.01827 202.631325 \nL 265.360814 199.083881 \nL 271.062173 194.757706 \nL 277.103483 189.564452 \nL 283.44969 183.422711 \nL 290.045603 176.267 \nL 296.811896 168.059439 \nL 303.641571 158.80385 \nL 310.397525 148.561222 \nL 316.912152 137.464594 \nL 322.98992 125.730299 \nL 328.413905 113.661646 \nL 332.956753 101.641236 \nL 336.396018 90.109026 \nL 338.53258 79.526251 \nL 339.210181 70.328981 \nL 338.332754 62.878941 \nL 335.876759 57.421618 \nL 331.895703 54.060657 \nL 326.516018 52.754129 \nL 319.924929 53.332367 \nL 312.352596 55.531762 \nL 304.051717 59.036 \nL 295.277749 63.515929 \nL 286.27215 68.661705 \nL 277.250169 74.204072 \nL 268.39341 79.924832 \nL 259.846799 85.658568 \nL 251.718989 91.288237 \nL 244.085149 96.737599 \nL 236.991138 101.962505 \nL 230.458303 106.942508 \nL 224.488304 111.673579 \nL 219.067611 116.162302 \nL 214.171476 120.42143 \nL 209.767292 124.466714 \nL 205.817365 128.314755 \nL 202.281104 131.981638 \nL 199.116726 135.482125 \nL 196.282531 138.829269 \nL 193.737824 142.034266 \nL 189.362728 148.053465 \nL 185.704913 153.594492 \nL 178.150047 165.514797 \nL 175.264289 169.508459 \nL 173.771956 171.328438 \nL 172.224128 173.023472 \nL 170.604998 174.586634 \nL 168.899465 176.009524 \nL 167.093021 177.282112 \nL 165.17168 178.392536 \nL 163.121936 179.32692 \nL 160.930785 180.069189 \nL 158.585786 180.600829 \nL 156.075203 180.900741 \nL 153.388215 180.945062 \nL 150.515209 180.707105 \nL 147.448201 180.157362 \nL 144.181342 179.263692 \nL 140.711582 177.991696 \nL 137.039465 176.305408 \nL 133.170069 174.168332 \nL 129.114089 171.544961 \nL 124.88903 168.402868 \nL 120.520482 164.715356 \nL 116.043399 160.464839 \nL 111.503235 155.646734 \nL 106.956856 150.273814 \nL 102.473005 144.380659 \nL 98.132082 138.027743 \nL 94.025002 131.304433 \nL 90.251061 124.330211 \nL 86.914467 117.253282 \nL 84.119769 110.245982 \nL 81.966215 103.496723 \nL 80.54149 97.198815 \nL 79.915445 91.537149 \nL 80.134419 86.674254 \nL 81.217025 82.737772 \nL 83.151873 79.81116 \nL 85.897692 77.928901 \nL 89.38577 77.077121 \nL 93.524492 77.198831 \nL 98.205355 78.20294 \nL 103.30972 79.97522 \nL 108.715533 82.389616 \nL 114.303455 85.318334 \nL 119.96187 88.639969 \nL 125.590569 92.245116 \nL 131.103124 96.039488 \nL 136.42796 99.945121 \nL 141.508431 103.899907 \nL 146.302115 107.856138 \nL 150.77954 111.778545 \nL 154.92261 115.642077 \nL 158.722885 119.429808 \nL 162.17985 123.131003 \nL 165.29926 126.739499 \nL 168.091655 130.252368 \nL 170.57103 133.668902 \nL 172.753695 136.98981 \nL 174.65733 140.216651 \nL 176.3002 143.351424 \nL 177.700532 146.396293 \nL 178.876041 149.35339 \nL 179.843551 152.224717 \nL 180.618736 155.012042 \nL 181.215927 157.716888 \nL 181.647998 160.340479 \nL 181.926288 162.883733 \nL 182.060577 165.347244 \nL 182.059079 167.731261 \nL 181.928465 170.035679 \nL 181.673894 172.25998 \nL 181.299055 174.403198 \nL 180.80621 176.46388 \nL 180.19624 178.440014 \nL 179.468695 180.328933 \nL 178.621829 182.12722 \nL 177.652643 183.830607 \nL 176.556921 185.433823 \nL 175.329267 186.930423 \nL 173.963142 188.312617 \nL 172.450905 189.57104 \nL 170.783863 190.69451 \nL 168.952337 191.669732 \nL 166.945755 192.481009 \nL 164.752761 193.109873 \nL 162.361391 193.534744 \nL 159.759284 193.730528 \nL 156.933994 193.668267 \nL 153.873379 193.3148 \nL 150.566121 192.63252 \nL 147.002406 191.579268 \nL 143.174763 190.108474 \nL 139.079132 188.169627 \nL 134.716165 185.709254 \nL 130.092763 182.672538 \nL 125.223877 179.005804 \nL 120.134519 174.660033 \nL 114.861905 169.595513 \nL 109.457605 163.787804 \nL 103.98946 157.234707 \nL 98.542992 149.964027 \nL 93.221898 142.04127 \nL 88.147231 133.576165 \nL 83.45481 124.726573 \nL 79.290505 115.698081 \nL 75.80337 106.737801 \nL 73.136723 98.121631 \nL 71.417952 90.135243 \nL 70.748023 83.050717 \nL 71.192039 77.101941 \nL 72.772389 72.462947 \nL 75.465432 69.232824 \nL 79.202549 67.430079 \nL 83.875253 66.996955 \nL 89.343741 67.812413 \nL 95.447498 69.710575 \nL 102.016518 72.501163 \nL 108.88183 75.988504 \nL 115.884285 79.986893 \nL 122.88107 84.331008 \nL 129.749806 88.881705 \nL 136.390469 93.527665 \nL 142.725451 98.184151 \nL 148.698315 102.789885 \nL 154.271669 107.303151 \nL 159.424559 111.697682 \nL 164.149717 115.958858 \nL 168.450866 120.080431 \nL 172.340214 124.061875 \nL 175.836254 127.906347 \nL 178.961861 131.619148 \nL 181.742718 135.206651 \nL 184.206031 138.67561 \nL 186.37952 142.032668 \nL 188.290645 145.284109 \nL 189.966028 148.435703 \nL 191.431043 151.492676 \nL 192.709546 154.459715 \nL 194.793949 160.140231 \nL 196.375472 165.505573 \nL 197.582884 170.578648 \nL 198.520071 175.378468 \nL 199.595277 182.10095 \nL 202.102745 199.233469 \nL 203.110026 204.045177 \nL 203.919097 207.023689 \nL 204.877336 209.822325 \nL 206.023642 212.440576 \nL 207.403827 214.873373 \nL 209.072756 217.109166 \nL 210.035698 218.147118 \nL 211.096721 219.127028 \nL 212.266335 220.044122 \nL 213.556106 220.89239 \nL 214.978758 221.664345 \nL 216.548257 222.350699 \nL 218.279908 222.939996 \nL 220.190423 223.418163 \nL 222.297988 223.767975 \nL 224.622293 223.968428 \nL 227.184512 223.994009 \nL 230.007232 223.813857 \nL 233.114279 223.390817 \nL 236.530426 222.680403 \nL 240.28092 221.629722 \nL 244.390777 220.176405 \nL 248.883779 218.247691 \nL 253.78107 215.759809 \nL 259.099273 212.618008 \nL 264.848002 208.717518 \nL 271.0267 203.946082 \nL 277.620717 198.188593 \nL 284.59663 191.334646 \nL 291.896994 183.289667 \nL 299.434781 173.990073 \nL 307.088132 163.422358 \nL 314.696386 151.644919 \nL 322.058652 138.809932 \nL 328.936328 125.180805 \nL 335.061201 111.139289 \nL 340.149916 97.175813 \nL 343.924752 83.858501 \nL 346.139191 71.7807 \nL 346.604585 61.493321 \nL 345.213691 53.434635 \nL 341.955934 47.873456 \nL 336.921231 44.879692 \nL 330.291138 44.328915 \nL 322.319282 45.937652 \nL 313.305012 49.318554 \nL 303.565312 54.040774 \nL 293.409382 59.682901 \nL 283.11887 65.870868 \nL 272.935063 72.298772 \nL 263.05268 78.734809 \nL 244.737488 91.0412 \nL 228.854767 102.123321 \nL 221.891348 107.157137 \nL 215.567858 111.86644 \nL 209.855784 116.272845 \nL 204.716554 120.401298 \nL 200.105162 124.277078 \nL 195.973012 127.923972 \nL 192.270083 131.36327 \nL 185.95383 137.689414 \nL 180.777889 143.366485 \nL 168.93672 157.00918 \nL 165.392523 160.44155 \nL 163.587501 161.931485 \nL 161.735305 163.260633 \nL 159.819177 164.419654 \nL 157.82396 165.39767 \nL 155.736049 166.182222 \nL 153.543392 166.759235 \nL 151.235551 167.113037 \nL 148.803808 167.226403 \nL 146.241352 167.080677 \nL 143.54355 166.655973 \nL 140.708259 165.93152 \nL 137.736259 164.886181 \nL 134.631723 163.499097 \nL 131.40277 161.750642 \nL 128.06206 159.623594 \nL 124.627415 157.104558 \nL 121.122418 154.185695 \nL 117.576928 150.866682 \nL 114.027484 147.156819 \nL 110.517476 143.077146 \nL 107.096977 138.662406 \nL 103.822211 133.962576 \nL 100.754503 129.043677 \nL 97.958692 123.987605 \nL 95.500948 118.890619 \nL 93.446135 113.860429 \nL 91.854731 109.01181 \nL 90.77956 104.460989 \nL 90.262587 100.319207 \nL 90.332111 96.686178 \nL 91.000568 93.643998 \nL 92.263291 91.252432 \nL 94.09834 89.546021 \nL 96.467445 88.53332 \nL 99.317968 88.19831 \nL 102.585714 88.503638 \nL 106.198238 89.395089 \nL 110.078396 90.806831 \nL 114.147814 92.666566 \nL 118.329998 94.900254 \nL 122.552918 97.435978 \nL 126.750995 100.206836 \nL 130.866453 103.152758 \nL 134.850014 106.221481 \nL 138.661112 109.36876 \nL 142.267667 112.557997 \nL 145.64553 115.759606 \nL 148.777738 118.950096 \nL 151.653607 122.111125 \nL 154.267797 125.22857 \nL 156.619365 128.291676 \nL 158.710871 131.292272 \nL 160.547547 134.224157 \nL 162.136568 137.082547 \nL 163.486384 139.863643 \nL 164.606188 142.564288 \nL 165.505435 145.181688 \nL 166.193478 147.713202 \nL 166.67925 150.156142 \nL 166.971036 152.507655 \nL 167.076293 154.764574 \nL 167.001523 156.923322 \nL 166.752182 158.979794 \nL 166.332636 160.929242 \nL 165.746144 162.766195 \nL 164.994861 164.484317 \nL 164.079884 166.0763 \nL 163.001293 167.533741 \nL 161.758251 168.846986 \nL 160.349092 170.005012 \nL 158.771463 170.995275 \nL 157.022482 171.803576 \nL 155.098932 172.413945 \nL 152.997518 172.808508 \nL 150.715137 172.967478 \nL 148.249247 172.869124 \nL 145.598266 172.48987 \nL 142.762083 171.804543 \nL 139.742628 170.786722 \nL 136.544524 169.409379 \nL 133.175848 167.64572 \nL 129.648949 165.47039 \nL 125.981339 162.861018 \nL 122.196588 159.80017 \nL 118.325199 156.277684 \nL 114.405378 152.293341 \nL 110.483588 147.859771 \nL 106.614778 143.005315 \nL 102.862173 137.776668 \nL 99.296461 132.240788 \nL 95.99425 126.485668 \nL 93.035778 120.619582 \nL 90.50184 114.768318 \nL 88.470007 109.070331 \nL 87.010443 103.669892 \nL 86.181553 98.708729 \nL 86.025953 94.316964 \nL 86.567134 90.604344 \nL 87.807316 87.653064 \nL 89.726702 85.512917 \nL 92.284286 84.199538 \nL 95.420142 83.695781 \nL 99.058924 83.95585 \nL 103.114172 84.911466 \nL 107.493018 86.479001 \nL 112.100762 88.566694 \nL 116.845023 91.081176 \nL 121.639155 93.932735 \nL 126.404809 97.03908 \nL 131.073605 100.327628 \nL 135.588004 103.736593 \nL 139.90145 107.21494 \nL 143.977973 110.721714 \nL 147.791394 114.224948 \nL 151.324275 117.700289 \nL 154.566732 121.129674 \nL 157.515199 124.500051 \nL 160.171224 127.802233 \nL 162.540357 131.029935 \nL 164.631127 134.178984 \nL 166.45415 137.246664 \nL 168.021361 140.231261 \nL 169.345367 143.131657 \nL 170.438925 145.947056 \nL 171.314506 148.67677 \nL 171.983966 151.320072 \nL 172.458291 153.876042 \nL 172.747405 156.343496 \nL 172.86004 158.720892 \nL 172.803643 161.006258 \nL 172.584327 163.197099 \nL 172.206851 165.290332 \nL 171.674618 167.282178 \nL 170.989696 169.168082 \nL 170.152855 170.942582 \nL 169.163615 172.59919 \nL 168.020307 174.13025 \nL 166.720153 175.526769 \nL 165.259355 176.77825 \nL 163.633208 177.872493 \nL 161.836239 178.795414 \nL 159.862374 179.530803 \nL 157.705138 180.060147 \nL 155.357927 180.362451 \nL 152.814302 180.414063 \nL 150.068406 180.188622 \nL 147.115436 179.657068 \nL 143.952216 178.787778 \nL 140.577915 177.546995 \nL 136.994873 175.89942 \nL 133.209561 173.809287 \nL 129.23367 171.241777 \nL 125.085326 168.165036 \nL 120.790328 164.55276 \nL 116.383419 160.387421 \nL 111.90946 155.664014 \nL 107.4243 150.39429 \nL 102.995266 144.611028 \nL 98.701 138.372043 \nL 94.630427 131.763124 \nL 90.880694 124.899359 \nL 87.553942 117.923922 \nL 84.7529 111.003858 \nL 82.575463 104.322477 \nL 81.108684 98.068775 \nL 80.422608 92.424638 \nL 80.564762 87.551352 \nL 81.555874 83.577305 \nL 83.387523 80.588574 \nL 86.021992 78.623969 \nL 89.394482 77.674974 \nL 93.417291 77.690456 \nL 97.985575 78.584968 \nL 102.983829 80.249316 \nL 108.292478 82.561408 \nL 113.793917 85.396297 \nL 119.37752 88.634285 \nL 124.943423 92.166674 \nL 130.404952 95.8991 \nL 135.689853 99.752949 \nL 140.740491 103.665127 \nL 145.51325 107.586759 \nL 149.977371 111.481359 \nL 154.11345 115.322722 \nL 157.911773 119.092857 \nL 161.370633 122.7801 \nL 164.494697 126.377497 \nL 167.293535 129.881467 \nL 169.780286 133.290739 \nL 171.970526 136.60559 \nL 173.881307 139.827207 \nL 175.530365 142.957292 \nL 176.93549 145.997759 \nL 178.114029 148.950532 \nL 179.082505 151.817418 \nL 179.85634 154.600027 \nL 180.449657 157.299696 \nL 180.87515 159.917488 \nL 181.144006 162.454159 \nL 181.265863 164.910131 \nL 181.24881 167.28546 \nL 181.099392 169.57983 \nL 180.822644 171.792477 \nL 180.422127 173.922185 \nL 179.899974 175.967193 \nL 179.25693 177.925148 \nL 178.492398 179.792997 \nL 177.604484 181.566884 \nL 176.590034 183.242035 \nL 175.444678 184.812589 \nL 174.162873 186.271451 \nL 172.737941 187.610076 \nL 171.162124 188.81825 \nL 169.42665 189.883822 \nL 167.521813 190.792429 \nL 165.437074 191.527168 \nL 163.161225 192.068261 \nL 160.682564 192.392692 \nL 157.989179 192.473861 \nL 155.069279 192.281249 \nL 151.911667 191.780152 \nL 148.506314 190.931525 \nL 144.845122 189.692028 \nL 140.922849 188.014332 \nL 136.738274 185.847853 \nL 132.295574 183.14005 \nL 127.605955 179.838418 \nL 122.689484 175.893421 \nL 117.577123 171.262483 \nL 112.312757 165.915091 \nL 106.955188 159.839075 \nL 101.5797 153.047705 \nL 96.278974 145.587131 \nL 91.162912 137.543247 \nL 86.356961 129.046681 \nL 81.998573 120.274536 \nL 78.231595 111.4472 \nL 75.198637 102.819251 \nL 73.031815 94.664182 \nL 71.842732 87.253966 \nL 71.712803 80.835841 \nL 72.685303 75.609824 \nL 74.760387 71.710813 \nL 77.893893 69.198359 \nL 82.000257 68.055757 \nL 86.959067 68.19823 \nL 92.62429 69.487995 \nL 98.83485 71.753009 \nL 105.42519 74.80604 \nL 112.2347 78.461421 \nL 119.115206 82.547648 \nL 125.936202 86.915416 \nL 132.587891 91.441389 \nL 138.982204 96.028503 \nL 145.05231 100.604002 \nL 150.75105 105.116157 \nL 156.048669 109.53038 \nL 160.930232 113.825457 \nL 165.392993 117.990097 \nL 169.443863 122.020063 \nL 173.097115 125.915869 \nL 176.372361 129.681028 \nL 179.292851 133.320756 \nL 181.884053 136.841078 \nL 184.172519 140.248236 \nL 186.184989 143.548342 \nL 187.947718 146.747109 \nL 189.485977 149.849809 \nL 190.8237 152.861198 \nL 191.983263 155.785552 \nL 193.848911 161.388095 \nL 195.227527 166.683645 \nL 196.236823 171.693702 \nL 196.970224 176.436456 \nL 197.707162 183.083597 \nL 198.159456 189.211632 \nL 198.573804 198.382521 \nL 199.4755 222.799752 \nL 199.874925 226.789496 \nL 200.471756 230.364034 \nL 201.111437 232.793439 \nL 201.986378 235.018295 \nL 202.743713 236.389565 \nL 203.680101 237.669387 \nL 204.839193 238.852449 \nL 206.275398 239.928317 \nL 208.056482 240.87878 \nL 210.266699 241.673769 \nL 213.010491 242.265057 \nL 216.416675 242.576651 \nL 218.416167 242.59278 \nL 220.642818 242.490259 \nL 223.12145 242.244161 \nL 225.879064 241.823713 \nL 228.944797 241.191067 \nL 232.349776 240.29987 \nL 236.126791 239.093652 \nL 240.309744 237.504086 \nL 244.932755 235.449184 \nL 250.02884 232.83164 \nL 255.627971 229.537579 \nL 261.754415 225.436184 \nL 268.423092 220.380877 \nL 275.634818 214.212985 \nL 283.370292 206.76905 \nL 291.582857 197.893265 \nL 300.19017 187.456226 \nL 309.065547 175.380956 \nL 318.030003 161.675568 \nL 326.846887 146.469835 \nL 335.221495 130.04945 \nL 342.80847 112.878271 \nL 349.22922 95.596394 \nL 354.100392 78.983205 \nL 357.071464 63.881194 \nL 357.866572 51.088365 \nL 356.322624 41.24096 \nL 352.415135 34.716358 \nL 346.265094 31.583641 \nL 338.124875 31.614949 \nL 328.346577 34.350596 \nL 317.34025 39.195253 \nL 305.530941 45.517312 \nL 293.32189 52.729366 \nL 281.068246 60.33895 \nL 246.627045 82.343822 \nL 197.410035 113.903114 \nL 186.718658 121.132449 \nL 178.175473 127.233649 \nL 171.301407 132.427899 \nL 158.724899 142.244015 \nL 154.688538 145.031771 \nL 152.760303 146.183415 \nL 150.861481 147.169391 \nL 148.973042 147.985146 \nL 147.078877 148.625244 \nL 145.165657 149.083523 \nL 143.222743 149.353323 \nL 141.242119 149.427708 \nL 139.218354 149.299702 \nL 137.148623 148.962597 \nL 135.032718 148.410299 \nL 132.873111 147.637727 \nL 130.675017 146.641254 \nL 128.446469 145.419243 \nL 126.198353 143.972567 \nL 123.944471 142.305224 \nL 121.701496 140.424897 \nL 119.488903 138.343539 \nL 117.328776 136.077845 \nL 115.245566 133.649631 \nL 113.26567 131.086044 \nL 111.416898 128.41952 \nL 109.727809 125.687452 \nL 108.226891 122.931607 \nL 106.941686 120.197147 \nL 105.897767 117.531388 \nL 105.117756 114.982249 \nL 104.620313 112.596577 \nL 104.419266 110.418347 \nL 104.522856 108.486974 \nL 104.933205 106.835744 \nL 105.646052 105.490636 \nL 106.650764 104.469514 \nL 107.930633 103.781766 \nL 109.463421 103.428452 \nL 111.222163 103.402838 \nL 113.176128 103.691344 \nL 115.291874 104.274692 \nL 117.534345 105.129218 \nL 119.867951 106.228207 \nL 122.257554 107.543184 \nL 124.669331 109.045042 \nL 127.071493 110.704988 \nL 129.434815 112.495305 \nL 131.733017 114.389878 \nL 133.942987 116.36454 \nL 136.044844 118.397243 \nL 138.021898 120.468114 \nL 139.86051 122.559367 \nL 141.549875 124.655174 \nL 143.08176 126.74147 \nL 144.450212 128.805739 \nL 145.651252 130.836797 \nL 146.682567 132.824547 \nL 147.543221 134.759796 \nL 148.233381 136.634018 \nL 148.75408 138.439194 \nL 149.106985 140.167651 \nL 149.294223 141.811905 \nL 149.318236 143.364533 \nL 149.181645 144.81807 \nL 148.887185 146.164909 \nL 148.437636 147.397206 \nL 147.835811 148.506835 \nL 147.084554 149.485329 \nL 146.186792 150.323857 \nL 145.145582 151.013222 \nL 143.964226 151.543886 \nL 142.646373 151.906003 \nL 141.196193 152.089534 \nL 139.618524 152.084377 \nL 137.919085 151.880551 \nL 136.104696 151.468449 \nL 134.183513 150.839163 \nL 132.165276 149.984867 \nL 130.061552 148.899293 \nL 127.885986 147.57824 \nL 125.654521 146.020226 \nL 123.385582 144.227115 \nL 121.100187 142.204813 \nL 118.821991 139.963939 \nL 116.577251 137.520426 \nL 114.3946 134.896051 \nL 112.30472 132.118724 \nL 110.339823 129.222549 \nL 108.532992 126.247577 \nL 106.917315 123.239164 \nL 105.524908 120.24695 \nL 104.385802 117.323466 \nL 103.526791 114.522353 \nL 102.970293 111.896389 \nL 102.733285 109.495388 \nL 102.826431 107.364121 \nL 103.253423 105.540468 \nL 104.010642 104.053949 \nL 105.087146 102.924733 \nL 106.464993 102.163202 \nL 108.119885 101.770113 \nL 110.022083 101.737255 \nL 112.137545 102.048573 \nL 114.429162 102.681581 \nL 116.858037 103.608941 \nL 119.38476 104.800055 \nL 121.97052 106.222571 \nL 124.578122 107.843699 \nL 127.172773 109.631317 \nL 129.722702 111.554797 \nL 132.199549 113.585577 \nL 134.578582 115.697526 \nL 136.838757 117.867076 \nL 138.962629 120.073226 \nL 140.936173 122.297422 \nL 142.748499 124.523359 \nL 144.391547 126.736733 \nL 145.859725 128.924971 \nL 147.149567 131.076973 \nL 148.25937 133.182827 \nL 149.188852 135.233586 \nL 149.938856 137.221011 \nL 150.511073 139.137382 \nL 150.907789 140.97533 \nL 151.131689 142.727659 \nL 151.18568 144.387195 \nL 151.072772 145.946692 \nL 150.795971 147.398689 \nL 150.358226 148.735443 \nL 149.762387 149.948852 \nL 149.011228 151.030359 \nL 148.107471 151.970953 \nL 147.053852 152.761112 \nL 145.853218 153.390819 \nL 144.508652 153.849586 \nL 143.023637 154.126534 \nL 141.40223 154.210487 \nL 139.649275 154.090155 \nL 137.770655 153.754351 \nL 135.773542 153.192313 \nL 133.66669 152.394068 \nL 131.460718 151.35092 \nL 129.168417 150.056018 \nL 126.805023 148.505017 \nL 124.388488 146.696808 \nL 121.939667 144.634328 \nL 119.48246 142.325375 \nL 117.043824 139.783412 \nL 114.653676 137.028256 \nL 112.344619 134.086649 \nL 110.151483 130.992532 \nL 108.110644 127.787 \nL 106.259172 124.517838 \nL 104.633751 121.238582 \nL 103.269472 118.007081 \nL 102.198457 114.883627 \nL 101.448535 111.928702 \nL 101.041895 109.200461 \nL 100.993944 106.752259 \nL 101.312408 104.630273 \nL 101.996752 102.871504 \nL 103.037987 101.502389 \nL 104.418908 100.538037 \nL 106.114715 99.982189 \nL 108.094018 99.82785 \nL 110.320049 100.058507 \nL 112.752137 100.649796 \nL 115.347204 101.571349 \nL 118.061242 102.788747 \nL 120.850717 104.265344 \nL 123.673754 105.963918 \nL 126.491114 107.848034 \nL 129.266956 109.883033 \nL 131.969325 112.036767 \nL 134.570415 114.280014 \nL 137.046664 116.586641 \nL 139.378652 118.93361 \nL 141.550883 121.300796 \nL 143.551469 123.670757 \nL 145.371751 126.028403 \nL 147.0059 128.360693 \nL 148.45048 130.656288 \nL 149.704044 132.905238 \nL 150.766737 135.0987 \nL 151.639938 137.228656 \nL 152.325933 139.287702 \nL 152.827634 141.268812 \nL 153.148331 143.165175 \nL 153.291507 144.970016 \nL 153.260658 146.676494 \nL 153.059192 148.277528 \nL 152.690344 149.765722 \nL 152.157127 151.133248 \nL 151.462314 152.371802 \nL 150.608476 153.472485 \nL 149.598026 154.425786 \nL 148.433301 155.221552 \nL 147.116685 155.848962 \nL 145.650756 156.296553 \nL 144.038467 156.552317 \nL 142.283362 156.603776 \nL 140.389815 156.438185 \nL 138.363317 156.042761 \nL 136.210775 155.405026 \nL 133.940843 154.513251 \nL 131.56428 153.356956 \nL 129.09429 151.927627 \nL 126.546874 150.219427 \nL 123.941144 148.230117 \nL 121.299574 145.961983 \nL 118.648194 143.422852 \nL 116.016637 140.627059 \nL 113.438027 137.596332 \nL 110.948673 134.360497 \nL 108.587565 130.957837 \nL 106.395592 127.435074 \nL 104.4145 123.846796 \nL 102.685627 120.254347 \nL 101.24844 116.724034 \nL 100.138927 113.324838 \nL 99.387947 110.125602 \nL 99.019717 107.192014 \nL 99.050424 104.583551 \nL 99.487209 102.350686 \nL 100.327577 100.532602 \nL 101.559251 99.15567 \nL 103.16057 98.232778 \nL 105.101373 97.763543 \nL 107.344234 97.735373 \nL 109.846082 98.125152 \nL 112.559925 98.901399 \nL 115.436664 100.026644 \nL 118.426836 101.459752 \nL 121.482147 103.158097 \nL 124.556802 105.079347 \nL 127.608542 107.182953 \nL 130.599377 109.431127 \nL 133.496013 111.78951 \nL 136.270066 114.227483 \nL 138.898023 116.718198 \nL 141.361038 119.23844 \nL 143.64459 121.768318 \nL 145.738065 124.290904 \nL 147.634272 126.791838 \nL 149.328957 129.258899 \nL 150.820293 131.68163 \nL 152.108415 134.050978 \nL 153.194977 136.358955 \nL 154.082759 138.598365 \nL 154.775311 140.762557 \nL 155.276646 142.845198 \nL 155.591006 144.840077 \nL 155.722635 146.740975 \nL 155.675631 148.541492 \nL 155.453822 150.234918 \nL 155.060689 151.814136 \nL 154.499323 153.27151 \nL 153.772421 154.598792 \nL 152.8823 155.787045 \nL 151.830975 156.826557 \nL 150.62023 157.706822 \nL 149.251754 158.416473 \nL 147.727295 158.943319 \nL 146.048847 159.274338 \nL 144.218881 159.395799 \nL 142.24062 159.293389 \nL 140.118317 158.952428 \nL 137.857622 158.358182 \nL 135.465937 157.496307 \nL 132.952823 156.35339 \nL 130.33043 154.917621 \nL 127.613911 153.179654 \nL 124.821832 151.133564 \nL 121.976548 148.777975 \nL 119.104494 146.117249 \nL 116.236352 143.162735 \nL 113.407059 139.933942 \nL 110.655596 136.459557 \nL 108.024527 132.778169 \nL 105.559259 128.93852 \nL 103.30693 124.999187 \nL 101.315044 121.02756 \nL 99.629779 117.098016 \nL 98.294124 113.28932 \nL 97.345897 109.681436 \nL 96.815795 106.351831 \nL 96.725643 103.371673 \nL 97.087024 100.80224 \nL 97.900345 98.691908 \nL 99.154526 97.074005 \nL 100.827338 95.965754 \nL 102.886283 95.368379 \nL 105.290088 95.268236 \nL 107.990542 95.638897 \nL 110.934601 96.443791 \nL 114.066569 97.639153 \nL 117.330207 99.176931 \nL 120.670616 101.007482 \nL 124.035827 103.081789 \nL 127.378041 105.353243 \nL 130.654511 107.778854 \nL 133.828046 110.319955 \nL 136.867218 112.942542 \nL 139.746301 115.617247 \nL 142.444981 118.319088 \nL 144.947956 121.027043 \nL 147.244393 123.723603 \nL 149.32735 126.394213 \nL 151.19318 129.026798 \nL 152.840938 131.611283 \nL 154.271836 134.139132 \nL 155.48871 136.603007 \nL 156.495573 138.99643 \nL 157.297209 141.313496 \nL 157.898823 143.548648 \nL 158.30576 145.696478 \nL 158.523271 147.751533 \nL 158.556312 149.708177 \nL 158.409436 151.560459 \nL 158.086672 153.301976 \nL 157.591478 154.925773 \nL 156.926726 156.424234 \nL 156.0947 157.788976 \nL 155.097155 159.010757 \nL 153.935387 160.079395 \nL 152.610343 160.983705 \nL 151.122765 161.71144 \nL 149.473364 162.249271 \nL 147.663031 162.582788 \nL 145.693103 162.696594 \nL 143.565651 162.574406 \nL 141.283823 162.199267 \nL 138.852235 161.553877 \nL 136.277411 160.621044 \nL 133.568241 159.384279 \nL 130.7365 157.828561 \nL 127.797363 155.941307 \nL 124.769928 153.713513 \nL 121.677679 151.141095 \nL 118.548899 148.226366 \nL 115.416955 144.979594 \nL 112.320346 141.420509 \nL 109.302583 137.579702 \nL 106.411681 133.499608 \nL 103.699319 129.235026 \nL 101.219604 124.852857 \nL 99.027412 120.430932 \nL 97.176371 116.055853 \nL 95.716555 111.819804 \nL 94.692052 107.816525 \nL 94.138548 104.136668 \nL 94.081177 100.862999 \nL 94.532783 98.065847 \nL 95.492862 95.799435 \nL 96.947212 94.099301 \nL 98.868436 92.981214 \nL 101.217156 92.441594 \nL 103.943949 92.459295 \nL 106.991687 92.998475 \nL 110.298192 94.012114 \nL 113.798895 95.445825 \nL 117.429364 97.241471 \nL 121.127518 99.340378 \nL 124.835392 101.68594 \nL 128.500513 104.225491 \nL 132.076751 106.911525 \nL 135.524764 109.702286 \nL 138.812072 112.561901 \nL 141.912846 115.460143 \nL 144.807444 118.371953 \nL 147.481836 121.276827 \nL 149.926894 124.158152 \nL 152.137682 127.002534 \nL 154.112722 129.799198 \nL 155.853312 132.539399 \nL 157.362873 135.21597 \nL 158.646375 137.822893 \nL 159.709828 140.354943 \nL 160.559846 142.807412 \nL 161.203275 145.17588 \nL 161.646893 147.455994 \nL 161.897168 149.643294 \nL 161.960062 151.733102 \nL 161.8409 153.720355 \nL 161.544275 155.599485 \nL 161.073981 157.36433 \nL 160.433005 159.007992 \nL 159.623523 160.522738 \nL 158.646952 161.8999 \nL 157.504015 163.129756 \nL 156.194837 164.201427 \nL 154.719078 165.102791 \nL 153.076103 165.820383 \nL 151.265172 166.339383 \nL 149.285682 166.643553 \nL 147.137472 166.715316 \nL 144.821138 166.535842 \nL 142.338443 166.085246 \nL 139.692753 165.342948 \nL 136.889567 164.288127 \nL 133.937073 162.900392 \nL 130.84676 161.160702 \nL 127.634075 159.052475 \nL 124.31907 156.563005 \nL 120.927024 153.685076 \nL 117.489012 150.418871 \nL 114.042264 146.773929 \nL 110.630379 142.771186 \nL 107.303172 138.444801 \nL 104.116159 133.843573 \nL 101.12955 129.031678 \nL 98.406743 124.088456 \nL 96.012243 119.106932 \nL 94.00914 114.191028 \nL 92.456171 109.451364 \nL 91.404638 104.999949 \nL 90.895368 100.944082 \nL 90.955993 97.380117 \nL 91.598925 94.387731 \nL 92.820114 92.025349 \nL 94.598882 90.327396 \nL 96.898813 89.303462 \nL 99.669563 88.939556 \nL 102.849516 89.201061 \nL 106.368936 90.036938 \nL 110.153354 91.384648 \nL 114.126869 93.175031 \nL 118.215166 95.33686 \nL 122.34804 97.800553 \nL 126.461318 100.501026 \nL 130.498223 103.379529 \nL 134.410097 106.384641 \nL 138.156658 109.472558 \nL 141.705821 112.606834 \nL 145.033203 115.757778 \nL 148.121421 118.901632 \nL 150.959254 122.019699 \nL 153.540741 125.097435 \nL 155.864277 128.123636 \nL 157.931747 131.08969 \nL 159.747721 133.988965 \nL 161.318729 136.816268 \nL 162.65263 139.567415 \nL 163.75806 142.238895 \nL 164.643977 144.827581 \nL 165.319288 147.330504 \nL 165.792536 149.74469 \nL 166.071671 152.066991 \nL 166.163865 154.293952 \nL 166.075384 156.421699 \nL 165.811503 158.445848 \nL 165.376448 160.361357 \nL 164.773387 162.162457 \nL 164.004443 163.842507 \nL 163.070711 165.393881 \nL 161.972345 166.807853 \nL 160.708618 168.074452 \nL 159.278049 169.182339 \nL 157.678539 170.118666 \nL 155.907535 170.868953 \nL 153.962246 171.416993 \nL 151.839898 171.744769 \nL 149.538036 171.832416 \nL 147.054881 171.65828 \nL 144.38977 171.199054 \nL 141.54366 170.43006 \nL 138.519706 169.325693 \nL 135.323937 167.86011 \nL 131.96599 166.008173 \nL 128.459931 163.746689 \nL 124.825086 161.056071 \nL 121.086912 157.922283 \nL 117.277757 154.339192 \nL 113.437563 150.311179 \nL 109.614239 145.855869 \nL 105.863757 141.0068 \nL 102.249744 135.815651 \nL 98.842455 130.353735 \nL 95.717092 124.712221 \nL 92.951352 119.000818 \nL 90.622284 113.34452 \nL 88.802576 107.878423 \nL 87.556488 102.740771 \nL 86.935827 98.064814 \nL 86.976271 93.970281 \nL 87.694551 90.555507 \nL 89.086763 87.891222 \nL 91.128073 86.016751 \nL 93.773905 84.939176 \nL 96.962407 84.635265 \nL 100.617994 85.055968 \nL 104.655575 86.132395 \nL 108.984988 87.78264 \nL 113.515253 89.918423 \nL 118.158381 92.451009 \nL 122.832419 95.295812 \nL 127.463728 98.37573 \nL 131.988396 101.623037 \nL 136.352909 104.980171 \nL 140.514204 108.399652 \nL 144.439214 111.843361 \nL 148.104067 115.281453 \nL 151.493057 118.691127 \nL 154.597512 122.055351 \nL 157.414611 125.361686 \nL 159.946279 128.601272 \nL 162.1981 131.767889 \nL 164.17839 134.857279 \nL 165.897356 137.866525 \nL 167.366365 140.793616 \nL 168.59736 143.637098 \nL 169.602353 146.395786 \nL 170.393036 149.068587 \nL 170.980468 151.654334 \nL 171.374831 154.15166 \nL 171.585263 156.5589 \nL 171.61973 158.873986 \nL 171.484945 161.094393 \nL 171.186328 163.21702 \nL 170.727984 165.238126 \nL 170.112711 167.153215 \nL 169.342028 168.956936 \nL 168.41621 170.642947 \nL 167.334357 172.203804 \nL 166.094455 173.630769 \nL 164.693476 174.913692 \nL 163.127484 176.040803 \nL 161.39177 176.998534 \nL 159.481015 177.771326 \nL 157.389496 178.341441 \nL 155.111341 178.688812 \nL 152.640823 178.790888 \nL 149.972743 178.622589 \nL 147.102889 178.156311 \nL 144.028597 177.362104 \nL 140.749398 176.20803 \nL 137.267819 174.660761 \nL 133.590273 172.686559 \nL 129.728079 170.252604 \nL 125.698576 167.328852 \nL 121.526316 163.890416 \nL 117.24422 159.920521 \nL 112.894658 155.413973 \nL 108.530307 150.381009 \nL 104.214608 144.851301 \nL 100.021639 138.877609 \nL 96.035263 132.538653 \nL 92.347261 125.94046 \nL 89.054437 119.215514 \nL 86.254648 112.519216 \nL 84.041859 106.023271 \nL 82.500595 99.906273 \nL 81.700224 94.342128 \nL 81.689666 89.487673 \nL 82.493201 85.470989 \nL 84.10795 82.382172 \nL 86.503321 80.267841 \nL 89.622648 79.130138 \nL 93.386755 78.93012 \nL 97.699013 79.594818 \nL 102.451279 81.026462 \nL 107.530086 83.112586 \nL 112.822417 85.735555 \nL 118.220665 88.780548 \nL 123.626478 92.14149 \nL 128.95338 95.72484 \nL 134.128257 99.451334 \nL 139.091797 103.256298 \nL 143.798145 107.088723 \nL 148.213969 110.909733 \nL 152.317148 114.690709 \nL 156.095241 118.411385 \nL 159.543926 122.058049 \nL 162.665425 125.621937 \nL 165.467078 129.09793 \nL 167.960034 132.483472 \nL 170.158122 135.77776 \nL 172.076871 138.981082 \nL 173.732719 142.094393 \nL 175.142346 145.118967 \nL 176.322164 148.056182 \nL 177.287907 150.907357 \nL 178.054332 153.673642 \nL 178.634996 156.355964 \nL 179.042112 158.954964 \nL 179.286445 161.470967 \nL 179.377262 163.903927 \nL 179.322305 166.253421 \nL 179.127802 168.518579 \nL 178.798476 170.698071 \nL 178.337587 172.790003 \nL 177.746962 174.791877 \nL 177.027039 176.700487 \nL 176.176915 178.511835 \nL 175.194387 180.220973 \nL 174.076009 181.821887 \nL 172.817132 183.30733 \nL 171.411964 184.668623 \nL 169.853642 185.895432 \nL 168.134297 186.975542 \nL 166.245163 187.894574 \nL 164.176694 188.63569 \nL 161.918736 189.179295 \nL 159.460732 189.502717 \nL 156.792018 189.579896 \nL 153.902166 189.381117 \nL 150.781468 188.872814 \nL 147.421524 188.017509 \nL 143.815995 186.773931 \nL 139.961521 185.097436 \nL 135.858838 182.940827 \nL 131.514103 180.255725 \nL 126.940426 176.99461 \nL 122.159593 173.113712 \nL 117.20389 168.57686 \nL 112.117925 163.360336 \nL 106.960337 157.458627 \nL 101.805084 150.8909 \nL 96.742009 143.707503 \nL 91.876425 135.995786 \nL 87.327256 127.884024 \nL 83.223512 119.542199 \nL 79.698894 111.178328 \nL 76.884691 103.029593 \nL 74.901321 95.348055 \nL 73.849333 88.382215 \nL 73.800861 82.356414 \nL 74.792704 77.451188 \nL 76.822122 73.787789 \nL 79.845994 71.419608 \nL 83.783597 70.331545 \nL 88.522562 70.4474 \nL 93.927187 71.642992 \nL 99.847907 73.7627 \nL 106.130805 76.636285 \nL 112.626137 80.093791 \nL 119.195158 83.976977 \nL 125.715007 88.146756 \nL 132.08157 92.486852 \nL 138.2106 96.904587 \nL 144.03743 101.329277 \nL 149.515638 105.70959 \nL 154.615094 110.010169 \nL 159.319664 114.208327 \nL 163.624797 118.290938 \nL 167.535235 122.251809 \nL 171.062858 126.089545 \nL 174.224809 129.805887 \nL 177.041866 133.404479 \nL 179.537094 136.889992 \nL 181.734749 140.267507 \nL 183.659401 143.542151 \nL 185.335271 146.718834 \nL 186.785721 149.802149 \nL 188.032903 152.796286 \nL 189.09751 155.705063 \nL 189.998634 158.531915 \nL 191.378384 163.951912 \nL 192.29124 169.077594 \nL 192.830515 173.926605 \nL 193.066186 178.513796 \nL 193.047822 182.851792 \nL 192.807423 186.951286 \nL 192.361852 190.821014 \nL 191.714722 194.467544 \nL 190.857649 197.894772 \nL 189.770887 201.103088 \nL 188.423356 204.088144 \nL 186.772095 206.838981 \nL 185.815635 208.120693 \nL 184.761183 209.335312 \nL 183.599472 210.478191 \nL 182.320212 211.543504 \nL 180.912031 212.524017 \nL 179.362409 213.410798 \nL 177.657623 214.192906 \nL 175.782698 214.856973 \nL 173.72138 215.386756 \nL 171.456133 215.762603 \nL 168.968183 215.960823 \nL 166.23762 215.952986 \nL 163.24358 215.705159 \nL 159.964548 215.177069 \nL 156.378802 214.321261 \nL 152.465074 213.082281 \nL 148.203463 211.396046 \nL 143.576673 209.189475 \nL 138.571656 206.380697 \nL 133.181742 202.880056 \nL 127.409301 198.592376 \nL 121.269005 193.420957 \nL 114.791658 187.273809 \nL 108.028448 180.072672 \nL 101.055414 171.765073 \nL 93.977612 162.339339 \nL 86.932297 151.841646 \nL 80.09016 140.393197 \nL 73.653517 128.204374 \nL 67.850321 115.581461 \nL 62.923234 102.921432 \nL 59.113722 90.691034 \nL 56.642191 79.389365 \nL 55.686382 69.497333 \nL 56.361412 61.422266 \nL 58.70504 55.448746 \nL 62.671235 51.706924 \nL 68.133466 50.165243 \nL 74.89723 50.64818 \nL 82.719309 52.87316 \nL 91.330234 56.496679 \nL 100.456326 61.159556 \nL 109.838379 66.523491 \nL 119.245347 72.295308 \nL 128.482626 78.238745 \nL 137.395413 84.176172 \nL 145.868201 89.983488 \nL 153.821645 95.58141 \nL 161.207911 100.925557 \nL 168.005375 105.997063 \nL 174.213346 110.794491 \nL 179.84717 115.327391 \nL 184.933941 119.611493 \nL 189.50889 123.665322 \nL 193.612452 127.50789 \nL 197.287942 131.1573 \nL 200.57977 134.629953 \nL 203.532119 137.940144 \nL 208.588564 144.119365 \nL 212.777069 149.766774 \nL 222.753999 163.824432 \nL 225.906859 167.541367 \nL 227.544288 169.201543 \nL 229.245354 170.720251 \nL 231.025969 172.088686 \nL 232.901128 173.296382 \nL 234.884986 174.331091 \nL 236.99087 175.178613 \nL 239.231262 175.822662 \nL 241.617705 176.244725 \nL 244.160659 176.42397 \nL 246.869255 176.337203 \nL 249.750977 175.958916 \nL 252.811238 175.261465 \nL 256.052844 174.215428 \nL 259.475344 172.790175 \nL 263.074276 170.954782 \nL 266.84027 168.679271 \nL 270.75809 165.936295 \nL 274.805619 162.703292 \nL 278.952809 158.965183 \nL 283.160753 154.71746 \nL 287.380956 149.969644 \nL 291.554924 144.748871 \nL 295.614288 139.103156 \nL 299.48157 133.10405 \nL 303.071847 126.847889 \nL 306.295285 120.455274 \nL 309.060716 114.068074 \nL 311.279979 107.843862 \nL 312.872945 101.947779 \nL 313.772708 96.542422 \nL 313.93044 91.776742 \nL 313.319394 87.775463 \nL 311.937512 84.630251 \nL 309.808238 82.394056 \nL 306.979491 81.079299 \nL 303.520785 80.659973 \nL 299.51893 81.077194 \nL 295.072798 82.24699 \nL 290.287719 84.069255 \nL 285.270098 86.436441 \nL 280.122654 89.241248 \nL 274.940599 92.382518 \nL 269.808894 95.769276 \nL 264.800538 99.322983 \nL 259.975878 102.978211 \nL 255.382654 106.682286 \nL 251.056673 110.394092 \nL 247.022891 114.082541 \nL 243.296727 117.724861 \nL 239.885513 121.304977 \nL 236.789921 124.811962 \nL 234.005335 128.238782 \nL 231.523103 131.581228 \nL 229.331654 134.837061 \nL 227.417459 138.005372 \nL 225.765837 141.086074 \nL 224.361635 144.079551 \nL 223.189762 146.986386 \nL 222.235617 149.807201 \nL 221.485414 152.542493 \nL 220.926429 155.19256 \nL 220.547171 157.757429 \nL 220.3375 160.236795 \nL 220.288703 162.629969 \nL 220.393525 164.935832 \nL 220.646186 167.152765 \nL 221.042367 169.278607 \nL 221.579194 171.310545 \nL 222.255194 173.245067 \nL 223.070259 175.077819 \nL 224.0256 176.803501 \nL 225.123685 178.415739 \nL 226.368187 179.906899 \nL 227.763913 181.267929 \nL 229.316718 182.488116 \nL 231.033414 183.554903 \nL 232.921651 184.453611 \nL 234.989768 185.16719 \nL 237.246591 185.675942 \nL 239.701207 185.957267 \nL 242.362645 185.985418 \nL 245.239478 185.731314 \nL 248.339341 185.162458 \nL 251.668301 184.242987 \nL 255.230104 182.933952 \nL 259.025259 181.193889 \nL 263.049935 178.979797 \nL 267.294699 176.248696 \nL 271.743084 172.959737 \nL 276.370025 169.077192 \nL 281.140267 164.574165 \nL 286.006794 159.437211 \nL 290.909551 153.671585 \nL 295.774557 147.306842 \nL 300.513816 140.40223 \nL 305.026169 133.051099 \nL 309.199543 125.383244 \nL 312.914641 117.564208 \nL 316.050221 109.790574 \nL 318.489728 102.280741 \nL 320.128888 95.26148 \nL 320.883503 88.951421 \nL 320.696537 83.543452 \nL 319.543578 79.188639 \nL 317.435803 75.984217 \nL 314.41996 73.967617 \nL 310.575389 73.117311 \nL 306.00839 73.359851 \nL 300.844767 74.58168 \nL 295.221525 76.643213 \nL 289.278648 79.393097 \nL 283.151838 82.68063 \nL 276.966633 86.36529 \nL 270.834284 90.323033 \nL 264.849291 94.449448 \nL 259.088422 98.660371 \nL 253.610995 102.890756 \nL 248.459976 107.092455 \nL 243.663704 111.231452 \nL 239.237875 115.285051 \nL 235.187654 119.239234 \nL 231.509724 123.086395 \nL 228.194187 126.82348 \nL 225.226263 130.450482 \nL 222.587751 133.96935 \nL 220.258277 137.383186 \nL 218.2163 140.695655 \nL 216.439921 143.910602 \nL 214.907527 147.031826 \nL 213.598262 150.062926 \nL 212.492382 153.007231 \nL 211.571498 155.867764 \nL 210.818731 158.647244 \nL 210.218804 161.34809 \nL 209.758081 163.972427 \nL 209.207847 168.998827 \nL 209.090985 173.73851 \nL 209.354323 178.199771 \nL 209.966452 182.387007 \nL 210.915707 186.300046 \nL 212.208567 189.932961 \nL 212.990564 191.640491 \nL 213.868603 193.272154 \nL 214.848221 194.824585 \nL 215.935991 196.293527 \nL 217.139535 197.67367 \nL 218.467533 198.958444 \nL 219.92974 200.139807 \nL 221.536993 201.207977 \nL 223.301216 202.151125 \nL 225.235401 202.95502 \nL 227.353576 203.602619 \nL 229.670727 204.073605 \nL 232.202682 204.343884 \nL 234.965914 204.385047 \nL 237.977268 204.163783 \nL 241.253562 203.641324 \nL 244.811042 202.772957 \nL 248.664634 201.50764 \nL 252.826966 199.787891 \nL 257.307111 197.55007 \nL 262.108991 194.725246 \nL 267.229405 191.240929 \nL 272.655684 187.023968 \nL 278.362952 182.004907 \nL 284.311117 176.124115 \nL 290.441766 169.339883 \nL 296.675183 161.638414 \nL 302.908007 153.04517 \nL 309.012073 143.636649 \nL 314.835141 133.550694 \nL 320.204186 122.992978 \nL 324.931854 112.236862 \nL 328.826304 101.614033 \nL 331.704093 91.494608 \nL 333.405024 82.257457 \nL 333.807174 74.254 \nL 332.839839 67.771575 \nL 330.492234 63.003158 \nL 326.816213 60.029546 \nL 321.92242 58.817611 \nL 315.970538 59.233913 \nL 309.155285 61.0699 \nL 301.690421 64.072677 \nL 293.79314 67.975267 \nL 285.670605 72.521678 \nL 277.509798 77.484391 \nL 269.471013 82.673951 \nL 261.684745 87.941781 \nL 254.251385 93.178131 \nL 247.242964 98.307105 \nL 240.706163 103.280381 \nL 234.666016 108.070796 \nL 229.129766 112.666598 \nL 224.090591 117.066574 \nL 219.530984 121.276253 \nL 215.425698 125.305041 \nL 211.744214 129.16421 \nL 208.45276 132.86551 \nL 205.515906 136.420346 \nL 202.897798 139.839253 \nL 200.563076 143.131657 \nL 198.477536 146.305776 \nL 194.925457 152.326266 \nL 192.004023 157.944492 \nL 188.363999 165.678378 \nL 185.120197 172.621379 \nL 182.951365 176.813079 \nL 180.642433 180.641935 \nL 179.402279 182.412966 \nL 178.087938 184.08263 \nL 176.686752 185.645203 \nL 175.186017 187.09366 \nL 173.572891 188.419454 \nL 171.834307 189.61229 \nL 169.956927 190.659868 \nL 167.927121 191.547577 \nL 165.730984 192.258189 \nL 163.354414 192.771487 \nL 160.783238 193.063916 \nL 158.003434 193.108208 \nL 155.001435 192.873055 \nL 151.764559 192.322838 \nL 148.281593 191.41748 \nL 144.543528 190.112493 \nL 140.544512 188.35935 \nL 136.283032 186.106252 \nL 131.763321 183.299527 \nL 126.997049 179.885753 \nL 122.005189 175.814873 \nL 116.820099 171.04438 \nL 111.487625 165.544736 \nL 106.069066 159.305904 \nL 100.642763 152.344733 \nL 95.304904 144.712578 \nL 90.16919 136.502252 \nL 85.364914 127.85285 \nL 81.033068 118.950947 \nL 77.320329 110.026636 \nL 74.370967 101.343324 \nL 72.317195 93.181174 \nL 71.268835 85.81547 \nL 71.303585 79.492608 \nL 72.459195 74.407458 \nL 74.728932 70.685864 \nL 78.060971 68.37559 \nL 82.36202 67.447034 \nL 87.504583 67.80294 \nL 93.336737 69.294866 \nL 99.693088 71.742771 \nL 106.40545 74.954427 \nL 113.31223 78.742005 \nL 120.265692 82.934193 \nL 127.136893 87.383541 \nL 133.818354 91.969565 \nL 140.224807 96.598589 \nL 146.292427 101.201242 \nL 151.977038 105.728947 \nL 157.251698 110.149877 \nL 162.104043 114.445117 \nL 166.533587 118.605222 \nL 170.549173 122.627389 \nL 174.16669 126.513215 \nL 177.407076 130.266988 \nL 180.294638 133.894477 \nL 182.855672 137.402113 \nL 185.117361 140.7964 \nL 187.106924 144.083599 \nL 188.850959 147.269544 \nL 190.374983 150.359556 \nL 191.703104 153.35843 \nL 192.857818 156.27046 \nL 194.728349 161.84891 \nL 196.131739 167.121065 \nL 197.186356 172.108349 \nL 197.98667 176.828828 \nL 198.868268 183.443221 \nL 200.0911 195.155891 \nL 201.070769 203.550261 \nL 201.803498 208.054982 \nL 202.735966 212.189573 \nL 203.511487 214.748051 \nL 204.446509 217.150463 \nL 205.579231 219.395236 \nL 206.956035 221.476197 \nL 208.633582 223.380538 \nL 210.681257 225.0857 \nL 211.869737 225.852778 \nL 213.183972 226.554747 \nL 214.637516 227.183614 \nL 216.245294 227.729444 \nL 218.023699 228.179958 \nL 219.990684 228.520027 \nL 222.165825 228.73107 \nL 224.570364 228.790354 \nL 227.227198 228.670165 \nL 230.16079 228.336849 \nL 233.396993 227.749739 \nL 236.962709 226.859968 \nL 240.885369 225.609226 \nL 245.192137 223.92854 \nL 249.908749 221.737216 \nL 255.057926 218.942181 \nL 260.657184 215.438038 \nL 266.715979 211.108338 \nL 273.232029 205.828676 \nL 280.186768 199.47242 \nL 287.539957 191.919936 \nL 295.223648 183.072115 \nL 303.135896 172.868684 \nL 311.135018 161.310916 \nL 319.03561 148.487047 \nL 326.607854 134.596645 \nL 333.581888 119.968089 \nL 339.658948 105.06177 \nL 344.52999 90.451671 \nL 347.901252 76.781132 \nL 349.524054 64.695178 \nL 349.224323 54.759572 \nL 346.926116 47.384089 \nL 342.664038 42.768748 \nL 336.581333 40.886814 \nL 328.914113 41.507345 \nL 319.965047 44.248828 \nL 310.072 48.647808 \nL 299.577342 54.22554 \nL 288.80237 60.540403 \nL 278.02926 67.220416 \nL 267.490954 73.976784 \nL 247.79044 86.963488 \nL 230.57309 98.622499 \nL 216.102975 108.770744 \nL 204.256125 117.544631 \nL 199.217683 121.487332 \nL 194.702939 125.172011 \nL 187.032284 131.865573 \nL 180.825419 137.786839 \nL 175.694722 143.042738 \nL 167.353865 151.761682 \nL 163.615987 155.240086 \nL 161.762469 156.748699 \nL 159.890653 158.095615 \nL 157.981882 159.273056 \nL 156.019564 160.271864 \nL 153.989077 161.081495 \nL 151.877739 161.690084 \nL 149.674801 162.084465 \nL 147.371515 162.250295 \nL 144.961255 162.172226 \nL 142.43969 161.834117 \nL 139.80503 161.219395 \nL 137.058333 160.311515 \nL 134.203845 159.094576 \nL 131.24941 157.554139 \nL 128.206907 155.678157 \nL 125.092655 153.45819 \nL 121.927856 150.890708 \nL 118.738883 147.97863 \nL 115.557539 144.732825 \nL 112.421048 141.173692 \nL 109.371862 137.332512 \nL 106.457127 133.252428 \nL 103.727781 128.988936 \nL 101.237272 124.609609 \nL 99.039874 120.19286 \nL 97.188621 115.825771 \nL 95.732986 111.60085 \nL 94.716423 107.611971 \nL 94.173948 103.949701 \nL 94.129975 100.696509 \nL 94.596621 97.922283 \nL 95.572643 95.680577 \nL 97.043115 94.006201 \nL 98.979973 92.914158 \nL 101.343262 92.400124 \nL 104.083053 92.442283 \nL 107.141854 93.004254 \nL 110.457225 94.038599 \nL 113.964468 95.490701 \nL 117.599118 97.302288 \nL 121.299151 99.414725 \nL 125.006765 101.771481 \nL 128.669665 104.320085 \nL 132.241962 107.013228 \nL 135.684565 109.809404 \nL 138.965257 112.67298 \nL 142.058453 115.57395 \nL 144.944751 118.487454 \nL 147.610329 121.393169 \nL 150.046248 124.274638 \nL 152.247734 127.118608 \nL 154.21344 129.914392 \nL 155.944766 132.65334 \nL 157.445212 135.328342 \nL 158.719815 137.933427 \nL 159.774621 140.46342 \nL 160.61627 142.913631 \nL 161.251613 145.27965 \nL 161.687426 147.557132 \nL 161.930165 149.741629 \nL 161.985771 151.828451 \nL 161.859547 153.812518 \nL 161.55605 155.688261 \nL 161.079044 157.449489 \nL 160.43148 159.089275 \nL 159.615503 160.599878 \nL 158.632493 161.972581 \nL 157.483142 163.197625 \nL 156.167547 164.264081 \nL 154.685346 165.15978 \nL 153.035875 165.871211 \nL 151.218392 166.383494 \nL 149.232289 166.680344 \nL 147.077404 166.744117 \nL 144.754356 166.555926 \nL 142.264933 166.095839 \nL 139.612561 165.343226 \nL 136.802799 164.277238 \nL 133.843924 162.877495 \nL 130.747534 161.124973 \nL 127.529217 159.003169 \nL 124.209184 156.49948 \nL 120.812909 153.606874 \nL 117.371676 150.32578 \nL 113.922943 146.666064 \nL 110.510545 142.649055 \nL 107.18455 138.309389 \nL 104.000693 133.696402 \nL 101.01938 128.874833 \nL 98.304138 123.924578 \nL 95.919562 118.939188 \nL 93.928717 114.022997 \nL 92.390226 109.286912 \nL 91.355165 104.843027 \nL 90.86401 100.798527 \nL 90.94397 97.249432 \nL 91.606921 94.274863 \nL 92.848267 91.932554 \nL 94.646761 90.256131 \nL 96.965425 89.254337 \nL 99.753428 88.912382 \nL 102.948754 89.194937 \nL 106.481359 90.05041 \nL 110.276588 91.41586 \nL 114.258457 93.221878 \nL 118.352676 95.397122 \nL 122.489137 97.872049 \nL 126.603855 100.581688 \nL 130.64026 103.467463 \nL 134.549945 106.478172 \nL 138.292891 109.570242 \nL 141.837266 112.707455 \nL 145.158942 115.860323 \nL 148.240763 119.005277 \nL 151.071715 122.123784 \nL 153.64601 125.201434 \nL 155.962197 128.227128 \nL 158.022281 131.192349 \nL 159.830931 134.090534 \nL 161.394756 136.916535 \nL 162.721661 139.666218 \nL 163.820328 142.336101 \nL 164.699736 144.923073 \nL 165.368797 147.424189 \nL 165.836056 149.836471 \nL 166.109449 152.156772 \nL 166.196131 154.381647 \nL 166.102345 156.507211 \nL 165.833337 158.529064 \nL 165.393308 160.442172 \nL 164.785394 162.240727 \nL 164.011679 163.918078 \nL 163.073233 165.466582 \nL 161.970173 166.877472 \nL 160.701745 168.140751 \nL 159.266437 169.245051 \nL 157.66212 170.177473 \nL 155.886219 170.923503 \nL 153.935928 171.466874 \nL 151.808455 171.789511 \nL 149.501334 171.871493 \nL 147.012794 171.6911 \nL 144.342181 171.224975 \nL 141.49047 170.448374 \nL 138.460863 169.335644 \nL 135.259444 167.860904 \nL 131.895926 165.998987 \nL 128.38447 163.72672 \nL 124.744532 161.024553 \nL 121.001705 157.878556 \nL 117.188533 154.282757 \nL 113.345133 150.24175 \nL 109.519645 145.773475 \nL 105.768269 140.911853 \nL 102.154858 135.709011 \nL 98.749879 130.236771 \nL 95.628729 124.586855 \nL 92.86922 118.869492 \nL 90.548466 113.210151 \nL 88.739121 107.744274 \nL 87.505316 102.610306 \nL 86.898605 97.941496 \nL 86.954333 93.857374 \nL 87.688808 90.455843 \nL 89.097638 87.807039 \nL 91.155494 85.9496 \nL 93.817293 84.889822 \nL 97.02073 84.603765 \nL 100.689844 85.041731 \nL 104.739252 86.13429 \nL 109.078589 87.799155 \nL 113.616793 89.947817 \nL 118.265867 92.491445 \nL 122.94394 95.345472 \nL 127.577502 98.43291 \nL 132.102821 101.686169 \nL 136.466594 105.047906 \nL 140.625977 108.470832 \nL 144.548116 111.917028 \nL 148.209348 115.356823 \nL 151.594158 118.767569 \nL 154.694041 122.132367 \nL 157.506333 125.438903 \nL 160.033071 128.678403 \nL 162.279955 131.844714 \nL 164.255381 134.933635 \nL 165.969614 137.942297 \nL 167.434073 140.868718 \nL 168.660732 143.711474 \nL 169.661629 146.469395 \nL 170.448465 149.141412 \nL 171.032297 151.726356 \nL 171.423309 154.222869 \nL 171.630627 156.629295 \nL 171.662205 158.943577 \nL 171.524738 161.16318 \nL 171.223625 163.285023 \nL 170.762956 165.305354 \nL 170.145502 167.219677 \nL 169.372759 169.022633 \nL 168.444981 170.707888 \nL 167.361243 172.267989 \nL 166.119505 173.694198 \nL 164.716716 174.976346 \nL 163.148914 176.102653 \nL 161.411362 177.059532 \nL 159.498719 177.831416 \nL 157.40524 178.400545 \nL 155.125023 178.746816 \nL 152.652316 178.847657 \nL 149.981894 178.677942 \nL 147.109527 178.210018 \nL 144.032521 177.413889 \nL 140.750402 176.257556 \nL 137.265675 174.707636 \nL 133.584746 172.730305 \nL 129.718936 170.292677 \nL 125.685602 167.364638 \nL 121.509316 163.921236 \nL 117.223046 159.945648 \nL 112.86923 155.43266 \nL 108.500625 150.392539 \nL 104.180786 144.855004 \nL 99.983936 138.87294 \nL 95.994088 132.525248 \nL 92.303181 125.918213 \nL 89.00821 119.184627 \nL 86.207201 112.480253 \nL 83.994274 105.97718 \nL 82.454067 99.854336 \nL 81.656015 94.285962 \nL 81.649027 89.429095 \nL 82.457337 85.411894 \nL 84.077927 82.324417 \nL 86.480016 80.213129 \nL 89.606721 79.079884 \nL 93.378613 78.885435 \nL 97.698802 79.55643 \nL 102.458909 80.994734 \nL 107.545248 83.087555 \nL 112.844632 85.717011 \nL 118.249322 88.76809 \nL 123.660894 92.134582 \nL 128.992839 95.722888 \nL 134.172031 99.453745 \nL 139.139188 103.262479 \nL 143.8485 107.098129 \nL 148.266699 110.921875 \nL 152.371737 114.705167 \nL 156.151254 118.427804 \nL 159.600996 122.076133 \nL 162.723264 125.641447 \nL 165.525465 129.118664 \nL 168.018815 132.505288 \nL 170.217195 135.800533 \nL 172.13619 139.004725 \nL 173.792282 142.11885 \nL 175.20219 145.144209 \nL 176.38236 148.082189 \nL 177.348554 150.93413 \nL 178.115556 153.701199 \nL 178.696949 156.384343 \nL 179.104961 158.984214 \nL 179.350376 161.501146 \nL 179.442476 163.93512 \nL 179.389018 166.285724 \nL 179.196242 168.552116 \nL 178.868887 170.732977 \nL 178.410222 172.826449 \nL 177.822086 174.830055 \nL 177.104931 176.740627 \nL 176.257863 178.554194 \nL 175.278693 180.265849 \nL 174.163981 181.869624 \nL 172.90909 183.35832 \nL 171.508235 184.723311 \nL 169.954554 185.954335 \nL 168.240183 187.039239 \nL 166.35635 187.963725 \nL 164.293498 188.711046 \nL 162.041458 189.261694 \nL 159.58964 189.593095 \nL 156.927332 189.679288 \nL 154.044052 189.490661 \nL 150.930004 188.99374 \nL 147.576677 188.151122 \nL 143.977591 186.921586 \nL 140.129197 185.260501 \nL 136.032008 183.120631 \nL 131.69191 180.453456 \nL 127.12169 177.21122 \nL 122.342753 173.349783 \nL 117.386944 168.832423 \nL 112.298416 163.634671 \nL 107.135314 157.7501 \nL 101.971105 151.196725 \nL 96.895193 144.023605 \nL 92.012552 136.316711 \nL 87.441901 128.202987 \nL 83.312273 119.851268 \nL 79.757648 111.468815 \nL 76.909915 103.292591 \nL 74.890397 95.575171 \nL 73.800828 88.566254 \nL 73.714735 82.492113 \nL 74.670422 77.535677 \nL 76.666611 73.820876 \nL 79.661501 71.403647 \nL 83.575408 70.271111 \nL 88.296641 70.348654 \nL 93.689797 71.513053 \nL 99.605246 73.608917 \nL 105.888681 76.46568 \nL 112.389731 79.912661 \nL 118.968879 83.790623 \nL 125.502394 87.959406 \nL 131.885315 92.301703 \nL 138.032586 96.723878 \nL 143.878808 101.154472 \nL 149.376945 105.541521 \nL 154.496358 109.849209 \nL 159.220511 114.054525 \nL 163.544564 118.144111 \nL 167.473048 122.111642 \nL 171.017711 125.955664 \nL 174.195628 129.67788 \nL 177.02756 133.281946 \nL 179.536596 136.77255 \nL 181.747044 140.15481 \nL 183.683551 143.433885 \nL 185.370424 146.61473 \nL 186.831129 149.701977 \nL 188.087922 152.699855 \nL 189.161606 155.612202 \nL 190.071384 158.44248 \nL 191.467604 163.868992 \nL 192.396525 169.000903 \nL 192.952276 173.85601 \nL 193.205628 178.449315 \nL 193.206941 182.793617 \nL 192.989031 186.899818 \nL 192.56964 190.776942 \nL 191.953354 194.431936 \nL 191.132907 197.8692 \nL 190.089853 201.089864 \nL 188.794645 204.090599 \nL 187.206133 206.861911 \nL 186.285614 208.156283 \nL 185.270537 209.385613 \nL 184.151959 210.545653 \nL 182.919939 211.631065 \nL 181.563471 212.635188 \nL 180.070423 213.549784 \nL 178.427477 214.364731 \nL 176.620068 215.06764 \nL 174.632356 215.643429 \nL 172.447204 216.073802 \nL 170.046199 216.336665 \nL 167.409729 216.405443 \nL 164.517134 216.248334 \nL 161.346946 215.827482 \nL 157.87728 215.098125 \nL 154.086407 214.007752 \nL 149.953558 212.49536 \nL 145.460028 210.490946 \nL 140.590662 207.915446 \nL 135.335805 204.681371 \nL 129.693761 200.694541 \nL 123.673844 195.857337 \nL 117.300029 190.074037 \nL 110.615119 183.258766 \nL 103.685198 175.346471 \nL 96.60406 166.306985 \nL 89.496933 156.161648 \nL 82.522631 145.001008 \nL 75.873073 133.000797 \nL 69.769007 120.432309 \nL 64.450987 107.66233 \nL 60.165157 95.13845 \nL 57.144482 83.357403 \nL 55.587242 72.818222 \nL 55.635722 63.966755 \nL 57.358901 57.141991 \nL 60.742462 52.536065 \nL 65.688347 50.177204 \nL 72.02415 49.938529 \nL 79.52042 51.569331 \nL 87.912639 54.739612 \nL 96.924094 59.087421 \nL 106.286259 64.259816 \nL 115.754657 69.94213 \nL 125.11918 75.874372 \nL 134.209172 81.856311 \nL 142.894216 87.744309 \nL 151.081765 93.443483 \nL 158.712864 98.897878 \nL 165.756944 104.080539 \nL 172.206413 108.984856 \nL 178.07154 113.617411 \nL 183.375888 117.992547 \nL 188.152429 122.128434 \nL 192.440343 126.04443 \nL 196.282458 129.759365 \nL 199.723282 133.290519 \nL 202.807508 136.653145 \nL 208.079705 142.922635 \nL 212.426909 148.646065 \nL 222.622625 162.890192 \nL 225.786162 166.665618 \nL 227.420177 168.355791 \nL 229.112578 169.905453 \nL 230.879621 171.306143 \nL 232.736589 172.547817 \nL 234.697865 173.618646 \nL 236.776967 174.504939 \nL 238.986539 175.190956 \nL 241.338277 175.658784 \nL 243.842784 175.888244 \nL 246.509363 175.85686 \nL 249.345712 175.539877 \nL 252.357529 174.91042 \nL 255.548003 173.939819 \nL 258.917199 172.598166 \nL 262.461331 170.855108 \nL 266.17191 168.681041 \nL 270.034824 166.048705 \nL 274.029325 162.935202 \nL 278.127051 159.324543 \nL 282.291062 155.210625 \nL 286.475116 150.600537 \nL 290.623201 145.518047 \nL 294.669558 140.006901 \nL 298.539361 134.133467 \nL 302.150145 127.988272 \nL 305.414174 121.685781 \nL 308.241725 115.361952 \nL 310.54526 109.169239 \nL 312.244215 103.269081 \nL 313.270051 97.82235 \nL 313.571125 92.978688 \nL 313.116794 88.865917 \nL 311.900217 85.581083 \nL 309.939566 83.184215 \nL 307.277319 81.695792 \nL 303.977825 81.098034 \nL 300.123355 81.339675 \nL 295.809128 82.343114 \nL 291.13788 84.01305 \nL 286.214511 86.245054 \nL 281.141267 88.933298 \nL 276.013801 91.976779 \nL 270.918221 95.283602 \nL 265.929237 98.773641 \nL 261.109217 102.379506 \nL 256.508111 106.046369 \nL 252.163954 109.731039 \nL 248.103858 113.400495 \nL 244.345254 117.030281 \nL 240.897273 120.602847 \nL 237.762177 124.106091 \nL 234.936696 127.532002 \nL 232.413308 130.875596 \nL 230.181362 134.134042 \nL 228.22805 137.30596 \nL 226.539253 140.39091 \nL 225.100228 143.38899 \nL 223.896172 146.30058 \nL 222.912666 149.126112 \nL 222.136029 151.865949 \nL 221.553571 154.520274 \nL 221.153782 157.088999 \nL 220.926466 159.571734 \nL 220.862821 161.967682 \nL 220.955487 164.275621 \nL 221.198561 166.493836 \nL 221.587597 168.620061 \nL 222.119577 170.651368 \nL 222.792893 172.584119 \nL 223.607292 174.413829 \nL 224.563837 176.135061 \nL 225.664846 177.741281 \nL 226.913836 179.2247 \nL 228.315445 180.576085 \nL 229.875351 181.784551 \nL 231.600169 182.837349 \nL 233.497325 183.719618 \nL 235.574898 184.414127 \nL 237.841421 184.901016 \nL 240.305636 185.157554 \nL 242.97616 185.157908 \nL 245.861086 184.872994 \nL 248.967489 184.27041 \nL 252.300772 183.314535 \nL 255.863922 181.966849 \nL 259.656563 180.186565 \nL 263.673877 177.931673 \nL 267.90533 175.160547 \nL 272.333274 171.834138 \nL 276.931395 167.918974 \nL 281.663194 163.390935 \nL 286.480493 158.239802 \nL 291.322235 152.474404 \nL 296.113773 146.128042 \nL 300.766889 139.26357 \nL 305.18085 131.977408 \nL 309.24477 124.401419 \nL 312.841408 116.701673 \nL 315.852509 109.073335 \nL 318.165382 101.73116 \nL 319.680291 94.896101 \nL 320.317969 88.779113 \nL 320.026355 83.564234 \nL 318.785563 79.39348 \nL 316.610476 76.355835 \nL 313.550415 74.48213 \nL 309.685923 73.74653 \nL 305.123121 74.073827 \nL 299.986382 75.351095 \nL 294.410246 77.441294 \nL 288.531556 80.19692 \nL 282.482453 83.471803 \nL 276.384878 87.130055 \nL 270.346634 91.051935 \nL 264.459119 95.136708 \nL 258.796475 99.303195 \nL 253.415874 103.488628 \nL 248.358659 107.646427 \nL 243.652003 111.743591 \nL 239.310856 115.757998 \nL 235.339992 119.675869 \nL 231.735989 123.489617 \nL 228.489071 127.196017 \nL 225.584754 130.794839 \nL 223.005267 134.287749 \nL 220.730743 137.67753 \nL 218.740211 140.967541 \nL 217.012378 144.161352 \nL 215.526246 147.262482 \nL 214.261583 150.274292 \nL 213.199257 153.199881 \nL 212.321481 156.042043 \nL 211.611967 158.803295 \nL 211.056013 161.485846 \nL 210.640541 164.09163 \nL 210.186842 169.079307 \nL 210.178169 173.776563 \nL 210.565714 178.189523 \nL 211.322615 182.319775 \nL 212.442099 186.163457 \nL 213.140817 187.974757 \nL 213.936024 189.709648 \nL 214.831959 191.365261 \nL 215.833932 192.937919 \nL 216.948333 194.423013 \nL 218.182618 195.81481 \nL 219.545325 197.106272 \nL 221.04607 198.288818 \nL 222.695546 199.35205 \nL 224.505516 200.283448 \nL 226.48877 201.068015 \nL 228.659077 201.687847 \nL 231.031083 202.121712 \nL 233.620161 202.344536 \nL 236.442185 202.326887 \nL 239.513212 202.034448 \nL 242.849029 201.427514 \nL 246.464555 200.460593 \nL 250.373029 199.082159 \nL 254.584963 197.234709 \nL 259.106821 194.855276 \nL 263.939351 191.876596 \nL 269.075566 188.229181 \nL 274.498388 183.844596 \nL 280.177951 178.660241 \nL 286.068712 172.625809 \nL 292.106549 165.7116 \nL 298.206198 157.918418 \nL 304.259425 149.288402 \nL 310.134561 139.915676 \nL 315.678062 129.954848 \nL 320.718654 119.625023 \nL 325.074545 109.206815 \nL 328.563746 99.030285 \nL 331.016902 89.45315 \nL 332.291444 80.830808 \nL 332.285286 73.481925 \nL 330.947907 67.655568 \nL 328.286872 63.506055 \nL 324.368613 61.080559 \nL 319.313135 60.321535 \nL 313.283587 61.082721 \nL 306.472441 63.154282 \nL 299.086415 66.291725 \nL 291.332175 70.243076 \nL 283.404391 74.770656 \nL 275.476948 79.665758 \nL 267.697557 84.756094 \nL 260.185421 89.907439 \nL 253.031376 95.021179 \nL 246.299784 100.029399 \nL 240.031523 104.889003 \nL 234.247512 109.575916 \nL 228.952337 114.079814 \nL 224.137725 118.399788 \nL 219.785672 122.540957 \nL 215.871167 126.511895 \nL 212.364466 130.322839 \nL 209.232952 133.984487 \nL 206.442603 137.507222 \nL 203.959126 140.900667 \nL 201.748802 144.173475 \nL 199.779088 147.333241 \nL 196.439497 153.338996 \nL 193.715399 158.959432 \nL 190.367961 166.728138 \nL 186.486805 175.928154 \nL 184.519787 180.039862 \nL 182.397013 183.815207 \nL 181.247394 185.570541 \nL 180.023334 187.232684 \nL 178.713059 188.79665 \nL 177.304602 190.256253 \nL 175.785705 191.603906 \nL 174.143729 192.830404 \nL 172.365591 193.924657 \nL 170.437731 194.873389 \nL 168.346101 195.660806 \nL 166.076206 196.268228 \nL 163.613193 196.67367 \nL 160.942015 196.851432 \nL 158.04766 196.771675 \nL 154.915521 196.400014 \nL 151.53187 195.69719 \nL 147.884523 194.618898 \nL 143.963665 193.11582 \nL 139.76296 191.134016 \nL 135.280878 188.61584 \nL 130.522325 185.501524 \nL 125.500572 181.7317 \nL 120.239427 177.251063 \nL 114.775609 172.013354 \nL 109.16116 165.987735 \nL 103.46567 159.16654 \nL 97.777997 151.573941 \nL 92.207043 143.274781 \nL 86.881076 134.382265 \nL 81.945131 125.062893 \nL 77.55606 115.536585 \nL 73.875029 106.070338 \nL 71.057727 96.964236 \nL 69.243021 88.530239 \nL 68.54114 81.06575 \nL 69.023111 74.825636 \nL 70.713005 69.99757 \nL 73.584286 66.685178 \nL 77.561096 64.902086 \nL 82.524209 64.577544 \nL 88.320735 65.571798 \nL 94.77612 67.697611 \nL 101.706668 70.743485 \nL 108.931123 74.494952 \nL 116.280155 78.751248 \nL 123.603214 83.336238 \nL 130.772677 88.104004 \nL 137.685554 92.939897 \nL 144.263213 97.758472 \nL 150.449736 102.499628 \nL 156.209402 107.123906 \nL 161.523716 111.607873 \nL 166.388348 115.939903 \nL 170.810193 120.116657 \nL 174.804705 124.14025 \nL 178.393555 128.016135 \nL 181.602648 131.751565 \nL 184.460504 135.35453 \nL 186.996951 138.833087 \nL 189.24211 142.19491 \nL 191.225632 145.447078 \nL 192.976139 148.595984 \nL 194.520838 151.647302 \nL 197.093211 157.476606 \nL 199.125378 162.968079 \nL 200.771134 168.14721 \nL 202.787736 175.372402 \nL 205.732116 186.075571 \nL 206.981592 189.911853 \nL 208.367788 193.49737 \nL 209.952323 196.82742 \nL 211.799825 199.889938 \nL 212.844013 201.314416 \nL 213.981188 202.662662 \nL 215.22169 203.929629 \nL 216.576627 205.109036 \nL 218.057944 206.193118 \nL 219.678505 207.172363 \nL 221.452153 208.03518 \nL 223.393743 208.767517 \nL 225.519169 209.352425 \nL 227.845335 209.76954 \nL 230.390087 209.994527 \nL 233.172073 209.998431 \nL 236.210517 209.747021 \nL 239.524856 209.200077 \nL 243.134237 208.310722 \nL 247.056791 207.024866 \nL 251.308669 205.280847 \nL 255.902755 203.009445 \nL 260.846997 200.134516 \nL 266.142314 196.574489 \nL 271.78003 192.245114 \nL 277.738835 187.063878 \nL 283.981321 180.956468 \nL 290.450299 173.865616 \nL 297.065099 165.762399 \nL 303.718464 156.65956 \nL 310.274576 146.625906 \nL 316.569114 135.799615 \nL 322.412241 124.397745 \nL 327.595313 112.718258 \nL 331.901707 101.131163 \nL 335.121541 90.056572 \nL 337.069145 79.930076 \nL 337.601028 71.159232 \nL 336.631798 64.07859 \nL 334.14499 58.91186 \nL 330.196675 55.749807 \nL 324.911111 54.547919 \nL 318.46905 55.143667 \nL 311.090987 57.287967 \nL 303.018104 60.683145 \nL 294.493858 65.019586 \nL 285.748442 70.005244 \nL 276.987351 75.385388 \nL 268.384422 80.95246 \nL 260.078882 86.547875 \nL 252.175639 92.058283 \nL 244.747798 97.408708 \nL 237.840526 102.554608 \nL 231.475501 107.4741 \nL 225.655443 112.161233 \nL 220.368358 116.620485 \nL 215.591313 120.862553 \nL 211.293658 124.90134 \nL 207.439672 128.75184 \nL 203.990697 132.428817 \nL 200.906791 135.945992 \nL 198.147975 139.315622 \nL 195.675151 142.548338 \nL 191.439047 148.637377 \nL 187.922171 154.266969 \nL 179.44705 168.643504 \nL 176.72117 172.600156 \nL 175.294994 174.410432 \nL 173.805785 176.101782 \nL 172.238674 177.667451 \nL 170.579262 179.09923 \nL 168.81351 180.387262 \nL 166.92767 181.519875 \nL 164.908245 182.483313 \nL 162.742001 183.26154 \nL 160.416025 183.835975 \nL 157.917854 184.185256 \nL 155.235673 184.285025 \nL 152.358608 184.107771 \nL 149.277117 183.622748 \nL 145.983517 182.796037 \nL 142.47263 181.590801 \nL 138.742618 179.96784 \nL 134.795946 177.886501 \nL 130.640549 175.306073 \nL 126.291125 172.187805 \nL 121.77058 168.497605 \nL 117.111501 164.209465 \nL 112.357585 159.309731 \nL 107.564876 153.801916 \nL 102.802597 147.711892 \nL 98.153312 141.092992 \nL 93.712174 134.030177 \nL 89.585019 126.642513 \nL 85.885027 119.082944 \nL 82.727997 111.534407 \nL 80.226247 104.201943 \nL 78.48165 97.300738 \nL 77.578275 91.0412 \nL 77.575591 85.612582 \nL 78.503011 81.167673 \nL 80.356647 77.810673 \nL 83.098691 75.590381 \nL 86.659677 74.499583 \nL 90.943238 74.480312 \nL 95.832761 75.4339 \nL 101.19909 77.233698 \nL 106.908278 79.738402 \nL 112.828729 82.804196 \nL 118.837088 86.294388 \nL 124.822581 90.086138 \nL 130.689773 94.074251 \nL 136.359892 98.172439 \nL 141.770891 102.312757 \nL 146.876638 106.443803 \nL 151.645457 110.528336 \nL 156.058316 114.540648 \nL 160.10687 118.464049 \nL 163.7915 122.288657 \nL 167.119452 126.009505 \nL 170.103169 129.625053 \nL 172.758817 133.135999 \nL 175.105038 136.544448 \nL 177.161907 139.853281 \nL 178.950091 143.065721 \nL 180.49018 146.18507 \nL 181.802179 149.214505 \nL 182.905121 152.157001 \nL 183.816796 155.015276 \nL 184.553567 157.791751 \nL 185.130254 160.48855 \nL 185.560077 163.107519 \nL 185.854637 165.650219 \nL 186.023932 168.11795 \nL 186.018925 172.832295 \nL 185.594581 177.255311 \nL 184.777948 181.386749 \nL 184.225267 183.341422 \nL 183.575355 185.220251 \nL 182.826 187.021184 \nL 181.973854 188.741502 \nL 181.014449 190.377729 \nL 179.942205 191.925472 \nL 178.750448 193.379277 \nL 177.431406 194.732441 \nL 175.976224 195.976798 \nL 174.374966 197.102469 \nL 172.616637 198.09755 \nL 170.689219 198.947804 \nL 168.579731 199.63626 \nL 166.274328 200.142807 \nL 163.758435 200.443724 \nL 161.016972 200.5112 \nL 158.034649 200.312842 \nL 154.796378 199.811204 \nL 151.287838 198.963395 \nL 147.496221 197.720847 \nL 143.41119 196.029348 \nL 139.026109 193.829451 \nL 134.339573 191.057497 \nL 129.357263 187.647446 \nL 124.094125 183.533766 \nL 118.576873 178.655686 \nL 112.846674 172.963019 \nL 106.961891 166.423604 \nL 101.000606 159.032343 \nL 95.062446 150.821232 \nL 89.269312 141.86945 \nL 83.764351 132.311834 \nL 78.708572 122.343724 \nL 74.274706 112.219782 \nL 70.638129 102.244811 \nL 67.965299 92.755552 \nL 66.400575 84.094381 \nL 66.053071 76.577803 \nL 66.985396 70.464872 \nL 69.206189 65.931111 \nL 72.66779 63.05322 \nL 77.269604 61.807107 \nL 82.866556 62.079214 \nL 89.281359 63.687721 \nL 96.318498 66.408881 \nL 103.778156 70.003387 \nL 111.468314 74.238671 \nL 119.214152 78.904993 \nL 126.864249 83.82482 \nL 134.293793 88.856292 \nL 141.405272 93.892164 \nL 148.127229 98.856025 \nL 154.411802 103.697143 \nL 160.231539 108.384888 \nL 165.575975 112.903636 \nL 170.448255 117.248345 \nL 174.862027 121.421004 \nL 178.838694 125.427928 \nL 182.405063 129.277787 \nL 185.591412 132.980216 \nL 188.429932 136.544936 \nL 190.953508 139.981201 \nL 193.194793 143.297487 \nL 195.185535 146.501392 \nL 196.956099 149.599566 \nL 199.94955 155.500988 \nL 202.381878 161.038628 \nL 205.356307 168.718712 \nL 208.783472 177.868254 \nL 210.514073 181.98932 \nL 212.379996 185.803637 \nL 214.466963 189.297389 \nL 215.619938 190.916674 \nL 216.860419 192.445194 \nL 218.1997 193.877308 \nL 219.64951 195.206049 \nL 221.222118 196.422911 \nL 222.930383 197.51758 \nL 224.787814 198.477631 \nL 226.808584 199.288181 \nL 229.007516 199.931508 \nL 231.400023 200.386601 \nL 234.001979 200.6287 \nL 236.829531 200.628806 \nL 239.898784 200.353178 \nL 243.225389 199.762889 \nL 246.823943 198.813458 \nL 250.707217 197.454673 \nL 254.88513 195.630695 \nL 259.363461 193.280626 \nL 264.142236 190.339714 \nL 269.213775 186.741442 \nL 274.560444 182.420779 \nL 280.152059 177.318836 \nL 285.943168 171.38914 \nL 291.870322 164.605597 \nL 297.849698 156.971882 \nL 303.775453 148.531703 \nL 309.519447 139.378659 \nL 314.932833 129.664073 \nL 319.850159 119.600451 \nL 324.096343 109.45832 \nL 327.496522 99.554596 \nL 329.888256 90.231923 \nL 331.13493 81.830343 \nL 331.138656 74.655089 \nL 329.850757 68.945715 \nL 327.277955 64.852311 \nL 323.483182 62.423715 \nL 318.580693 61.609309 \nL 312.726324 62.273548 \nL 306.104512 64.219361 \nL 298.914034 67.215038 \nL 291.354398 71.020012 \nL 283.614336 75.405711 \nL 275.863244 80.169841 \nL 268.245839 85.144017 \nL 260.879664 90.195831 \nL 253.855039 95.226862 \nL 247.236704 100.168275 \nL 241.06656 104.975454 \nL 235.36697 109.622505 \nL 230.144223 114.097248 \nL 225.391852 118.397042 \nL 221.093672 122.525437 \nL 217.226429 126.489686 \nL 213.762036 130.298928 \nL 210.669406 133.962997 \nL 207.915914 137.491587 \nL 205.468532 140.893816 \nL 203.294681 144.177981 \nL 201.362848 147.35143 \nL 199.643007 150.420593 \nL 196.728109 156.267437 \nL 194.346795 161.753828 \nL 191.404624 169.36035 \nL 187.951237 178.411673 \nL 186.181207 182.480548 \nL 184.258838 186.238268 \nL 182.097856 189.668542 \nL 180.900928 191.252502 \nL 179.611596 192.742633 \nL 178.218329 194.132679 \nL 176.709123 195.414956 \nL 175.07143 196.580125 \nL 173.292088 197.6169 \nL 171.357296 198.511728 \nL 169.252608 199.248429 \nL 166.962963 199.807784 \nL 164.472782 200.167082 \nL 161.766125 200.299652 \nL 158.826931 200.174368 \nL 155.639385 199.755176 \nL 152.188415 199.000693 \nL 148.460355 197.863923 \nL 144.443859 196.292211 \nL 140.131015 194.227574 \nL 135.518801 191.607533 \nL 130.610834 188.366746 \nL 125.419457 184.439598 \nL 119.968149 179.7641 \nL 114.294158 174.287267 \nL 108.451242 167.972165 \nL 102.512204 160.806508 \nL 96.57097 152.812476 \nL 90.743591 144.056826 \nL 85.167674 134.659864 \nL 79.999651 124.801312 \nL 75.409339 114.720811 \nL 71.571641 104.71083 \nL 68.655556 95.100788 \nL 66.81138 86.23271 \nL 66.157434 78.43084 \nL 66.768285 71.969753 \nL 68.666204 67.046653 \nL 71.817532 63.763081 \nL 76.134606 62.11965 \nL 81.483031 62.024176 \nL 87.693062 63.310668 \nL 94.573276 65.76464 \nL 101.924552 69.149732 \nL 109.552744 73.231156 \nL 117.278701 77.793335 \nL 124.94527 82.650891 \nL 132.421216 87.653485 \nL 139.602491 92.685741 \nL 146.411432 97.664089 \nL 152.794568 102.531835 \nL 158.719595 107.253721 \nL 164.172005 111.810656 \nL 169.151696 116.19516 \nL 173.669792 120.407575 \nL 177.745811 124.453204 \nL 181.40523 128.340131 \nL 184.677442 132.077752 \nL 187.594124 135.675732 \nL 190.18793 139.1434 \nL 192.491501 142.489406 \nL 194.536733 145.721509 \nL 196.354249 148.84658 \nL 199.420357 154.798667 \nL 201.899558 160.383996 \nL 203.971204 165.630326 \nL 209.991841 181.54459 \nL 211.801286 185.412409 \nL 213.814476 188.966365 \nL 214.923699 190.619226 \nL 216.115577 192.184283 \nL 217.401153 193.656478 \nL 218.791884 195.029535 \nL 220.299739 196.295747 \nL 221.937268 197.445736 \nL 223.71767 198.468158 \nL 225.654816 199.349395 \nL 227.763265 200.073163 \nL 230.058213 200.620113 \nL 232.555418 200.96735 \nL 235.271034 201.087965 \nL 238.221369 200.950524 \nL 241.422515 200.518568 \nL 244.889859 199.750201 \nL 248.637396 198.597787 \nL 252.676831 197.007881 \nL 257.016413 194.921532 \nL 261.659492 192.275135 \nL 266.602721 189.00204 \nL 271.833928 185.035179 \nL 277.329657 180.311031 \nL 283.05247 174.775084 \nL 288.948144 168.389061 \nL 294.943016 161.139728 \nL 300.941882 153.048978 \nL 306.826925 144.184258 \nL 312.458235 134.667834 \nL 317.676626 124.682893 \nL 322.30918 114.474052 \nL 326.177771 104.340083 \nL 329.11036 94.617507 \nL 330.95413 85.65541 \nL 331.589099 77.78415 \nL 330.940212 71.282492 \nL 328.985996 66.349174 \nL 325.762183 63.084471 \nL 321.359569 61.48513 \nL 315.916396 61.453229 \nL 309.606549 62.816096 \nL 302.625471 65.352643 \nL 295.175819 68.820655 \nL 287.45462 72.98077 \nL 279.643115 77.614272 \nL 271.899742 82.534023 \nL 264.356314 87.588994 \nL 257.116887 92.663983 \nL 250.258681 97.676145 \nL 243.83441 102.569812 \nL 237.875435 107.310844 \nL 232.395226 111.881271 \nL 227.392828 116.274625 \nL 222.856084 120.492141 \nL 218.764506 124.539855 \nL 215.091729 128.426466 \nL 211.80755 132.16183 \nL 208.879578 135.755983 \nL 206.274525 139.218531 \nL 203.959193 142.558308 \nL 201.901195 145.783216 \nL 200.069473 148.900192 \nL 196.969123 154.833505 \nL 194.445705 160.396492 \nL 191.352648 168.103606 \nL 187.776702 177.267913 \nL 185.966839 181.385343 \nL 184.013803 185.186508 \nL 181.828709 188.655037 \nL 180.621593 190.256124 \nL 179.323098 191.762 \nL 177.921578 193.166375 \nL 176.404961 194.461526 \nL 174.760662 195.638067 \nL 172.975531 196.684679 \nL 171.035811 197.587774 \nL 168.927144 198.331158 \nL 166.634605 198.895608 \nL 164.142795 199.258456 \nL 161.436 199.393108 \nL 158.498453 199.26858 \nL 155.314677 198.849043 \nL 151.870003 198.09345 \nL 148.151241 196.955278 \nL 144.147572 195.382533 \nL 139.85168 193.318091 \nL 135.261177 190.700615 \nL 130.380346 187.466172 \nL 125.222193 183.550884 \nL 119.810808 178.89481 \nL 114.183922 173.447266 \nL 108.395571 167.173796 \nL 102.518549 160.064583 \nL 96.646326 152.143979 \nL 90.893936 143.480234 \nL 85.397329 134.194083 \nL 80.310567 124.46415 \nL 75.800377 114.527099 \nL 72.037979 104.670394 \nL 69.188334 95.216604 \nL 67.397641 86.499592 \nL 66.780551 78.835067 \nL 67.408752 72.489796 \nL 69.302832 67.654994 \nL 72.428846 64.42889 \nL 76.700279 62.81179 \nL 81.985143 62.713963 \nL 88.117045 63.974046 \nL 94.90844 66.383448 \nL 102.164253 69.71201 \nL 109.694117 73.730704 \nL 117.322187 78.228813 \nL 124.893975 83.024652 \nL 132.280217 87.970333 \nL 139.378172 92.951953 \nL 146.110899 97.886535 \nL 152.425163 102.717414 \nL 158.288516 107.408939 \nL 163.686036 111.941418 \nL 168.617015 116.306651 \nL 173.091857 120.504283 \nL 177.129303 124.538927 \nL 180.754033 128.418075 \nL 183.99466 132.150596 \nL 186.882104 135.745735 \nL 189.448307 139.212475 \nL 191.725244 142.559188 \nL 193.744186 145.793454 \nL 195.535186 148.92198 \nL 198.545479 154.884553 \nL 200.961972 160.48499 \nL 202.960508 165.751376 \nL 209.401008 183.794396 \nL 211.123604 187.578921 \nL 213.057846 191.06255 \nL 214.129088 192.685534 \nL 215.283361 194.22454 \nL 216.531336 195.674791 \nL 217.884167 197.030328 \nL 219.353592 198.283814 \nL 220.951999 199.426291 \nL 222.692496 200.446882 \nL 224.588949 201.332486 \nL 226.655998 202.067378 \nL 228.909031 202.632804 \nL 231.364114 203.006493 \nL 234.037855 203.162147 \nL 236.947189 203.068913 \nL 240.109043 202.690812 \nL 243.539872 201.986276 \nL 247.255023 200.907715 \nL 251.267879 199.401346 \nL 255.588744 197.407309 \nL 260.223412 194.860309 \nL 265.171412 191.690984 \nL 270.423869 187.828269 \nL 275.961002 183.203082 \nL 281.749304 177.753577 \nL 287.738563 171.432236 \nL 293.85893 164.214823 \nL 300.018399 156.110859 \nL 306.101202 147.174903 \nL 311.967755 137.517154 \nL 317.45683 127.311393 \nL 322.390571 116.797548 \nL 326.582686 106.27648 \nL 329.849757 96.094984 \nL 332.024941 86.62092 \nL 332.972566 78.210614 \nL 332.601709 71.173259 \nL 330.876488 65.738499 \nL 327.821267 62.033706 \nL 323.519697 60.075436 \nL 318.107645 59.776232 \nL 311.761324 60.964284 \nL 304.682472 63.411251 \nL 297.082921 66.861964 \nL 289.170494 71.061156 \nL 281.13768 75.77377 \nL 273.15368 80.797663 \nL 265.359903 85.969292 \nL 257.868432 91.163828 \nL 250.762839 96.291558 \nL 244.100547 101.29241 \nL 237.91613 106.129796 \nL 232.225008 110.784722 \nL 227.027132 115.250691 \nL 222.31044 119.52954 \nL 218.053923 123.628244 \nL 214.230258 127.556593 \nL 210.807984 131.325532 \nL 207.75326 134.946122 \nL 205.031245 138.428879 \nL 202.607143 141.783391 \nL 200.446972 145.018174 \nL 198.51811 148.140652 \nL 195.232583 154.073085 \nL 192.526756 159.620226 \nL 189.142801 167.274284 \nL 186.107415 174.167863 \nL 184.066113 178.344885 \nL 181.883934 182.176167 \nL 180.708695 183.955829 \nL 179.46112 185.639769 \nL 178.129079 187.2229 \nL 176.70033 188.698913 \nL 175.162409 190.060091 \nL 173.502554 191.29709 \nL 171.707628 192.398668 \nL 169.764096 193.351399 \nL 167.658013 194.139353 \nL 165.375071 194.743727 \nL 162.900701 195.142462 \nL 160.220229 195.309842 \nL 157.319139 195.216095 \nL 154.183433 194.827044 \nL 150.800132 194.103816 \nL 147.15793 193.002731 \nL 143.248057 191.475402 \nL 139.065357 189.469232 \nL 134.60963 186.92838 \nL 129.887226 183.795477 \nL 124.912936 180.014199 \nL 119.712091 175.532969 \nL 114.322831 170.309909 \nL 108.798372 164.319157 \nL 103.209042 157.558292 \nL 97.64379 150.05664 \nL 92.21067 141.883439 \nL 87.036001 133.154839 \nL 82.261505 124.037916 \nL 78.039293 114.750033 \nL 74.524444 105.551941 \nL 71.865483 96.733733 \nL 70.193502 88.594175 \nL 69.611056 81.415495 \nL 70.182349 75.437229 \nL 71.926214 70.833504 \nL 74.813081 67.697956 \nL 78.76652 66.038908 \nL 83.669172 65.785288 \nL 89.372154 66.801472 \nL 95.706468 68.907671 \nL 102.494862 71.901683 \nL 109.562757 75.578784 \nL 116.747167 79.747262 \nL 123.903173 84.238711 \nL 130.907812 88.913185 \nL 137.661692 93.660284 \nL 144.088749 98.397258 \nL 150.134696 103.065408 \nL 155.76464 107.625769 \nL 160.960272 112.054737 \nL 165.716952 116.340102 \nL 170.040907 120.477712 \nL 173.946668 124.468781 \nL 177.454826 128.317894 \nL 180.590121 132.03147 \nL 183.379874 135.616772 \nL 185.852713 139.081215 \nL 188.03759 142.431948 \nL 189.963028 145.675619 \nL 191.656572 148.818287 \nL 193.144402 151.865356 \nL 195.599471 157.691407 \nL 197.503557 163.186009 \nL 199.00361 168.374536 \nL 200.753912 175.627007 \nL 204.447547 192.192038 \nL 205.474126 195.754553 \nL 206.641403 199.09488 \nL 207.999266 202.211172 \nL 209.602305 205.095789 \nL 211.512533 207.732986 \nL 212.604925 208.950858 \nL 213.802123 210.095517 \nL 215.115186 211.160959 \nL 216.556153 212.139721 \nL 218.138113 213.022618 \nL 219.875285 213.798386 \nL 221.783065 214.453291 \nL 223.878065 214.97066 \nL 226.178116 215.330327 \nL 228.702223 215.508012 \nL 231.47046 215.474623 \nL 234.50377 215.195474 \nL 237.823656 214.629465 \nL 241.451693 213.72824 \nL 245.408862 212.435428 \nL 249.714584 210.686036 \nL 254.385434 208.406181 \nL 259.433445 205.513388 \nL 264.863929 201.917795 \nL 270.672729 197.524618 \nL 276.842927 192.238435 \nL 283.340968 185.969764 \nL 290.112402 178.644415 \nL 297.077504 170.215881 \nL 304.127252 160.68053 \nL 311.120442 150.094598 \nL 317.882838 138.590882 \nL 324.209555 126.39183 \nL 329.871679 113.814702 \nL 334.627791 101.264298 \nL 338.240349 89.209921 \nL 340.495736 78.146257 \nL 341.225542 68.542349 \nL 340.325746 60.787172 \nL 337.770286 55.142978 \nL 333.6161 51.717086 \nL 327.998585 50.458151 \nL 321.118152 51.176586 \nL 313.220595 53.582658 \nL 304.574758 57.332441 \nL 295.451082 62.071521 \nL 286.103706 67.469711 \nL 276.757606 73.243327 \nL 267.601052 79.165483 \nL 258.782817 85.066838 \nL 250.413025 90.830006 \nL 242.566485 96.380735 \nL 235.287388 101.678151 \nL 228.59457 106.705613 \nL 222.486703 111.46295 \nL 216.947076 115.960274 \nL 211.947756 120.213403 \nL 207.453091 124.240661 \nL 203.422549 128.060704 \nL 199.81295 131.691198 \nL 196.580186 135.148092 \nL 193.680485 138.44527 \nL 188.712057 144.60524 \nL 184.592011 150.240564 \nL 174.741266 164.292653 \nL 171.613971 168.016563 \nL 169.987382 169.681906 \nL 168.296067 171.206948 \nL 166.524211 172.582914 \nL 164.656872 173.799384 \nL 162.679916 174.844139 \nL 160.579983 175.703 \nL 158.344516 176.35967 \nL 155.961848 176.795607 \nL 153.42135 176.989912 \nL 150.713673 176.919259 \nL 147.831056 176.557947 \nL 144.767765 175.878044 \nL 141.520612 174.849718 \nL 138.089611 173.441822 \nL 134.478758 171.622724 \nL 130.696907 169.361575 \nL 126.758764 166.629966 \nL 122.685937 163.404082 \nL 118.508 159.667399 \nL 114.263459 155.413829 \nL 110.000559 150.651259 \nL 105.777745 145.405197 \nL 101.663589 139.722251 \nL 97.736106 133.672911 \nL 94.081128 127.353034 \nL 90.78981 120.883489 \nL 87.955059 114.407331 \nL 85.66711 108.084297 \nL 84.008444 102.082646 \nL 83.048446 96.568831 \nL 82.838379 91.696157 \nL 83.407159 87.59374 \nL 84.758618 84.357264 \nL 86.870493 82.042972 \nL 89.695393 80.665485 \nL 93.163648 80.199848 \nL 97.187669 80.587043 \nL 101.667266 81.742007 \nL 106.495399 83.56278 \nL 111.563737 85.939534 \nL 116.76756 88.76254 \nL 122.009711 91.928248 \nL 127.203456 95.343577 \nL 132.274238 98.92819 \nL 137.160434 102.615252 \nL 141.813307 106.351027 \nL 146.196317 110.093672 \nL 150.284025 113.81164 \nL 154.06074 117.481938 \nL 157.519043 121.088396 \nL 160.658312 124.620134 \nL 163.483338 128.070235 \nL 166.00302 131.43465 \nL 168.22924 134.711342 \nL 170.175879 137.899593 \nL 171.857988 140.999528 \nL 173.291105 144.01173 \nL 174.490704 146.936994 \nL 175.471764 149.776123 \nL 176.248435 152.529815 \nL 176.833799 155.198559 \nL 177.239685 157.782585 \nL 177.476555 160.281786 \nL 177.553432 162.695704 \nL 177.477862 165.02344 \nL 177.255909 167.263634 \nL 176.892153 169.414402 \nL 176.389725 171.473256 \nL 175.750338 173.437019 \nL 174.974323 175.301729 \nL 174.060682 177.062537 \nL 173.007138 178.713566 \nL 171.810189 180.247736 \nL 170.46517 181.656602 \nL 168.96633 182.930172 \nL 167.306912 184.056651 \nL 165.479263 185.022214 \nL 163.474964 185.810732 \nL 161.285004 186.403505 \nL 158.899985 186.778974 \nL 156.310409 186.912453 \nL 153.507028 186.775902 \nL 150.481297 186.337789 \nL 147.225936 185.563025 \nL 143.735641 184.413151 \nL 140.007939 182.84674 \nL 136.044222 180.820185 \nL 131.850976 178.288987 \nL 127.44118 175.209643 \nL 122.835844 171.542292 \nL 118.065691 167.254171 \nL 113.172784 162.32401 \nL 108.212046 156.747168 \nL 103.252406 150.541356 \nL 98.377322 143.752474 \nL 93.684396 136.459768 \nL 89.28375 128.779435 \nL 85.294935 120.865462 \nL 81.842151 112.906727 \nL 79.048007 105.119487 \nL 77.025959 97.735239 \nL 75.87226 90.98465 \nL 75.658133 85.079449 \nL 76.423283 80.194604 \nL 78.171645 76.453758 \nL 80.87009 73.920311 \nL 84.450265 72.595316 \nL 88.813419 72.422511 \nL 93.837515 73.298901 \nL 99.38558 75.088825 \nL 105.314385 77.639054 \nL 111.482452 80.79263 \nL 117.756703 84.400016 \nL 124.017435 88.326872 \nL 130.161481 92.458453 \nL 136.103724 96.701086 \nL 141.777256 100.981533 \nL 147.132477 105.244986 \nL 152.13551 109.452254 \nL 156.766204 113.576841 \nL 161.015975 117.60207 \nL 164.885655 121.51862 \nL 168.383472 125.322398 \nL 171.523223 129.012886 \nL 174.322681 132.591882 \nL 176.802249 136.062554 \nL 178.983838 139.428788 \nL 180.889981 142.694744 \nL 182.543116 145.864557 \nL 183.965053 148.942178 \nL 185.176581 151.931273 \nL 186.197179 154.835199 \nL 187.044841 157.65699 \nL 187.735959 160.399353 \nL 188.705899 165.655223 \nL 189.205313 170.619113 \nL 189.307406 175.303643 \nL 189.062345 179.718105 \nL 188.499581 183.868374 \nL 187.629936 187.756415 \nL 186.44721 191.379269 \nL 184.929186 194.72747 \nL 184.033226 196.293264 \nL 183.038028 197.78263 \nL 181.936395 199.19131 \nL 180.720105 200.513975 \nL 179.379891 201.744028 \nL 177.905416 202.873373 \nL 176.285243 203.892136 \nL 174.506832 204.788346 \nL 172.556541 205.547571 \nL 170.419645 206.152471 \nL 168.080407 206.582322 \nL 165.522189 206.812481 \nL 162.727628 206.813787 \nL 159.678914 206.551948 \nL 156.358186 205.986919 \nL 152.748085 205.072346 \nL 148.832518 203.755116 \nL 144.597657 201.975181 \nL 140.033249 199.665774 \nL 135.134286 196.754251 \nL 129.903072 193.163839 \nL 124.351729 188.816614 \nL 118.50508 183.638081 \nL 112.403893 177.563653 \nL 106.108257 170.54733 \nL 99.700823 162.572415 \nL 93.289372 153.663901 \nL 87.008157 143.901282 \nL 81.017239 133.429893 \nL 75.498962 122.468065 \nL 70.650997 111.307004 \nL 66.675725 100.300415 \nL 63.766237 89.842584 \nL 62.090277 80.335528 \nL 61.774033 72.14939 \nL 62.888338 65.582591 \nL 65.439626 60.829541 \nL 69.367605 57.962712 \nL 74.549994 56.932462 \nL 80.813663 57.583707 \nL 87.950122 59.684604 \nL 95.732864 62.960579 \nL 103.933984 67.126798 \nL 112.338201 71.914371 \nL 120.753179 77.087933 \nL 129.015843 82.454567 \nL 136.995093 87.865579 \nL 144.591618 93.213401 \nL 151.73567 98.425581 \nL 158.383589 103.457789 \nL 164.513766 108.286889 \nL 170.122492 112.904832 \nL 175.220043 117.31363 \nL 179.827174 121.52151 \nL 183.972108 125.540051 \nL 187.688028 129.382207 \nL 191.011065 133.061011 \nL 193.978707 136.588798 \nL 196.628598 139.976742 \nL 198.997648 143.23467 \nL 203.033653 149.392917 \nL 206.348522 155.115706 \nL 210.459434 162.954128 \nL 214.090706 169.942033 \nL 216.49864 174.127437 \nL 219.046251 177.91578 \nL 220.408795 179.651633 \nL 221.848975 181.274751 \nL 223.380327 182.778149 \nL 225.016272 184.15335 \nL 226.770207 185.390167 \nL 228.655559 186.476483 \nL 230.685814 187.397964 \nL 232.874501 188.137798 \nL 235.235109 188.676375 \nL 237.780967 188.990984 \nL 240.525021 189.055528 \nL 243.479528 188.840253 \nL 246.655645 188.311594 \nL 250.062857 187.432118 \nL 253.708264 186.160701 \nL 257.595695 184.452975 \nL 261.724594 182.262206 \nL 266.088737 179.540726 \nL 270.674697 176.242036 \nL 275.460175 172.323772 \nL 280.412201 167.751604 \nL 285.485371 162.504097 \nL 290.620207 156.578515 \nL 295.741988 149.997143 \nL 300.760268 142.813679 \nL 305.569481 135.118774 \nL 310.050924 127.043602 \nL 314.076442 118.760192 \nL 317.5139 110.477337 \nL 320.234373 102.431252 \nL 322.120522 94.871185 \nL 323.075468 88.040929 \nL 323.031079 82.158597 \nL 321.95455 77.397643 \nL 319.852274 73.872201 \nL 316.770315 71.629251 \nL 312.791423 70.648815 \nL 308.028917 70.851646 \nL 302.618402 72.112513 \nL 296.708371 74.276486 \nL 290.45095 77.175407 \nL 283.993604 80.642233 \nL 277.472527 84.522013 \nL 271.008032 88.678912 \nL 264.701796 92.999642 \nL 258.6359 97.393992 \nL 252.873176 101.793288 \nL 247.458546 106.14766 \nL 242.420996 110.422787 \nL 237.775831 114.596632 \nL 233.527044 118.656441 \nL 229.669584 122.596196 \nL 226.19145 126.414517 \nL 223.07553 130.113071 \nL 220.301199 133.695368 \nL 217.845625 137.165926 \nL 215.684853 140.529662 \nL 213.794654 143.791533 \nL 212.151173 146.956303 \nL 210.731429 150.028422 \nL 209.513655 153.011967 \nL 208.477542 155.910631 \nL 207.604377 158.727752 \nL 206.280422 164.129052 \nL 205.425594 169.236544 \nL 204.949396 174.067232 \nL 204.784654 178.635306 \nL 204.884703 182.952605 \nL 205.220672 187.028834 \nL 205.779183 190.871416 \nL 206.560617 194.485126 \nL 207.578023 197.871362 \nL 208.856647 201.027005 \nL 210.434095 203.942743 \nL 211.350175 205.305442 \nL 212.361049 206.600545 \nL 213.475293 207.823847 \nL 214.70248 208.970047 \nL 216.053228 210.032562 \nL 217.539258 211.003248 \nL 219.17345 211.872112 \nL 220.969887 212.626954 \nL 222.943881 213.252944 \nL 225.111988 213.73213 \nL 227.491968 214.042888 \nL 230.102716 214.159259 \nL 232.9641 214.05026 \nL 236.096719 213.679101 \nL 239.521513 213.002395 \nL 243.259204 211.969365 \nL 247.329512 210.521192 \nL 251.750095 208.590564 \nL 256.535096 206.101673 \nL 261.69331 202.97087 \nL 267.22581 199.108357 \nL 273.12307 194.421315 \nL 279.361507 188.818982 \nL 285.899576 182.220134 \nL 292.67358 174.563373 \nL 299.593505 165.820259 \nL 306.53959 156.010802 \nL 313.360276 145.219886 \nL 319.872609 133.612228 \nL 325.866188 121.442217 \nL 331.111446 109.054323 \nL 335.372793 96.87014 \nL 338.426005 85.359938 \nL 340.078286 74.999915 \nL 340.188407 66.220938 \nL 338.683373 59.358054 \nL 335.568568 54.611587 \nL 330.929166 52.028519 \nL 324.922328 51.507901 \nL 317.761768 52.827385 \nL 309.697466 55.683498 \nL 300.994169 59.735738 \nL 291.91166 64.645978 \nL 282.689112 70.107721 \nL 273.534428 75.863559 \nL 264.618591 81.711656 \nL 256.074241 87.504256 \nL 247.99736 93.141044 \nL 240.450995 98.560342 \nL 233.470047 103.729867 \nL 227.066347 108.638279 \nL 221.233593 113.288258 \nL 215.951796 117.691027 \nL 211.191117 121.862394 \nL 206.915072 125.819946 \nL 203.083105 129.581268 \nL 199.652602 133.16281 \nL 196.580431 136.579296 \nL 193.82407 139.843492 \nL 189.096252 145.955955 \nL 185.165284 151.563559 \nL 175.679063 165.621973 \nL 172.633119 169.375583 \nL 171.042868 171.061345 \nL 169.385548 172.610777 \nL 167.645615 174.015314 \nL 165.808273 175.264747 \nL 163.859409 176.347078 \nL 161.785562 177.248326 \nL 159.573929 177.952341 \nL 157.212454 178.440655 \nL 154.689966 178.692333 \nL 151.996394 178.683856 \nL 149.123095 178.38913 \nL 146.06324 177.779555 \nL 142.812365 176.824293 \nL 139.369001 175.490724 \nL 135.735474 173.745255 \nL 131.918799 171.554434 \nL 127.931716 168.886561 \nL 123.793808 165.713782 \nL 119.532657 162.014797 \nL 115.184949 157.778068 \nL 110.797457 153.005537 \nL 106.427681 147.71659 \nL 102.144056 141.951977 \nL 98.025466 135.777186 \nL 94.159892 129.284667 \nL 90.642018 122.594167 \nL 87.569812 115.85063 \nL 85.039983 109.21911 \nL 83.142673 102.87668 \nL 81.955746 97.001783 \nL 81.539125 91.762007 \nL 81.930001 87.301789 \nL 83.139347 83.731643 \nL 85.150332 81.120692 \nL 87.918894 79.493297 \nL 91.376363 78.83036 \nL 95.433857 79.074641 \nL 99.98789 80.139203 \nL 104.926552 81.917262 \nL 110.135564 84.292218 \nL 115.503723 87.146551 \nL 120.927342 90.368827 \nL 126.313518 93.858618 \nL 131.582147 97.529193 \nL 136.666863 101.308476 \nL 141.515076 105.138672 \nL 146.087289 108.975029 \nL 150.35594 112.784031 \nL 154.303958 116.541488 \nL 157.923198 120.230655 \nL 161.212853 123.840519 \nL 164.177939 127.364344 \nL 166.82792 130.798465 \nL 169.175491 134.141333 \nL 171.235516 137.392793 \nL 173.024139 140.553573 \nL 174.558064 143.62486 \nL 175.853958 146.608032 \nL 176.928002 149.504485 \nL 177.795532 152.315511 \nL 178.470782 155.042173 \nL 178.966705 157.685303 \nL 179.29485 160.245407 \nL 179.465279 162.722668 \nL 179.486542 165.116895 \nL 179.365667 167.427484 \nL 179.108164 169.653383 \nL 178.718063 171.793042 \nL 178.197938 173.844327 \nL 177.548952 175.804453 \nL 176.770905 177.669901 \nL 175.862275 179.436296 \nL 174.820262 181.098262 \nL 173.640844 182.649296 \nL 172.318823 184.081563 \nL 170.847885 185.385718 \nL 169.220671 186.550662 \nL 167.428859 187.563291 \nL 165.463271 188.408211 \nL 163.314019 189.067441 \nL 160.970676 189.520089 \nL 158.422528 189.742047 \nL 155.658883 189.705687 \nL 152.669471 189.379605 \nL 149.444963 188.72848 \nL 145.97764 187.713075 \nL 142.262196 186.290463 \nL 138.296754 184.414601 \nL 134.084072 182.037358 \nL 129.632965 179.110147 \nL 124.95992 175.586322 \nL 120.090879 171.424466 \nL 115.063114 166.592678 \nL 109.927018 161.073849 \nL 104.747679 154.871836 \nL 99.605945 148.018014 \nL 94.598622 140.577734 \nL 89.837474 132.655502 \nL 85.44672 124.397822 \nL 81.558688 115.992233 \nL 78.307658 107.661488 \nL 75.822055 99.652289 \nL 74.215603 92.218994 \nL 73.578307 85.603683 \nL 73.968419 80.015522 \nL 75.406467 75.612293 \nL 77.872435 72.487499 \nL 81.306445 70.665043 \nL 85.613001 70.102172 \nL 90.668121 70.69968 \nL 96.328341 72.31699 \nL 102.440427 74.789257 \nL 108.850602 77.943732 \nL 115.412481 81.613427 \nL 121.993093 85.646856 \nL 128.476932 89.913888 \nL 134.768025 94.308046 \nL 140.790399 98.746084 \nL 146.487284 103.165886 \nL 151.819457 107.523349 \nL 156.763097 111.788993 \nL 161.307393 115.944659 \nL 165.452157 119.980585 \nL 169.205555 123.892973 \nL 172.582074 127.682063 \nL 175.60074 131.35063 \nL 178.283606 134.90293 \nL 180.654508 138.34395 \nL 182.738067 141.678895 \nL 184.5589 144.912874 \nL 186.141037 148.050718 \nL 187.507471 151.096898 \nL 188.679859 154.055488 \nL 189.678326 156.930154 \nL 191.225698 162.44063 \nL 192.277072 167.651126 \nL 192.933647 172.580416 \nL 193.272538 177.24426 \nL 193.349672 181.656115 \nL 193.202741 185.82751 \nL 192.85382 189.768159 \nL 192.311464 193.48583 \nL 191.5722 196.986002 \nL 190.621402 200.271239 \nL 189.433554 203.340211 \nL 187.971928 206.186224 \nL 186.18773 208.79507 \nL 185.155793 210.003301 \nL 184.018739 211.141827 \nL 182.766403 212.205098 \nL 181.387542 213.186204 \nL 179.869771 214.076607 \nL 178.199504 214.865814 \nL 176.361896 215.540994 \nL 174.340812 216.086532 \nL 172.118811 216.483497 \nL 169.67718 216.709029 \nL 166.99601 216.735648 \nL 164.054363 216.530483 \nL 160.830543 216.05443 \nL 157.302496 215.26129 \nL 153.448433 214.09692 \nL 149.247679 212.498518 \nL 144.681839 210.394147 \nL 139.736369 207.702774 \nL 134.402605 204.335052 \nL 128.680353 200.195266 \nL 122.581062 195.184936 \nL 116.131591 189.208575 \nL 109.378483 182.182195 \nL 102.392492 174.044919 \nL 95.273001 164.773676 \nL 88.151567 154.400315 \nL 81.193744 143.029437 \nL 74.598043 130.853914 \nL 68.590864 118.163898 \nL 63.416488 105.344565 \nL 59.321862 92.858298 \nL 56.537015 81.209812 \nL 55.253119 70.896617 \nL 55.601395 62.352392 \nL 57.636767 55.89429 \nL 61.329317 51.686257 \nL 66.565742 49.726417 \nL 73.160475 49.860642 \nL 80.874304 51.817497 \nL 89.437008 55.254603 \nL 98.570193 59.805875 \nL 108.00716 65.120992 \nL 117.507843 70.892522 \nL 126.868194 76.870041 \nL 135.924388 82.863425 \nL 144.552878 88.738409 \nL 152.667556 94.408112 \nL 160.215165 99.822875 \nL 167.169953 104.960498 \nL 173.528254 109.817662 \nL 179.303413 114.403131 \nL 184.521322 118.732549 \nL 189.216635 122.824785 \nL 193.429682 126.699436 \nL 197.204017 130.375303 \nL 200.584537 133.869475 \nL 203.616074 137.196899 \nL 208.805409 143.399974 \nL 213.098149 149.059927 \nL 223.273712 163.105242 \nL 226.46965 166.803049 \nL 228.126002 168.450691 \nL 229.844532 169.954778 \nL 231.641287 171.306402 \nL 233.531331 172.495018 \nL 235.528813 173.508275 \nL 237.646984 174.331914 \nL 239.898174 174.949621 \nL 242.293699 175.342893 \nL 244.843697 175.490983 \nL 247.556898 175.370871 \nL 250.440279 174.957362 \nL 253.498653 174.223264 \nL 256.734125 173.139824 \nL 260.145457 171.677321 \nL 263.727295 169.806008 \nL 267.469325 167.497419 \nL 271.355316 164.726063 \nL 275.362141 161.471627 \nL 279.458817 157.721605 \nL 283.60564 153.474341 \nL 287.75353 148.74239 \nL 291.843747 143.555882 \nL 295.808128 137.965558 \nL 299.569981 132.045086 \nL 303.045817 125.891996 \nL 306.14799 119.626736 \nL 308.788234 113.389472 \nL 310.881977 107.334325 \nL 312.353198 101.621277 \nL 313.139366 96.40634 \nL 313.196021 91.830995 \nL 312.50042 88.012205 \nL 311.053838 85.034401 \nL 308.88212 82.944488 \nL 306.034436 81.750561 \nL 302.580383 81.424317 \nL 298.605729 81.906526 \nL 294.207345 83.114672 \nL 289.487836 84.951405 \nL 284.550419 87.31285 \nL 279.494429 90.095726 \nL 274.411725 93.202875 \nL 269.384131 96.546996 \nL 264.481882 100.052689 \nL 259.76298 103.657109 \nL 255.273281 107.309523 \nL 251.047164 110.970234 \nL 247.108586 114.609091 \nL 243.472346 118.203865 \nL 240.145472 121.738723 \nL 237.128599 125.202783 \nL 234.417286 128.5889 \nL 232.003219 131.892651 \nL 229.87528 135.111522 \nL 228.020474 138.244295 \nL 226.424716 141.290561 \nL 225.073471 144.250376 \nL 223.952278 147.124008 \nL 223.047166 149.911736 \nL 222.34497 152.61374 \nL 221.833562 155.229982 \nL 221.502032 157.760156 \nL 221.340793 160.203603 \nL 221.341659 162.559249 \nL 221.497882 164.825565 \nL 221.804157 167.000503 \nL 222.256624 169.081393 \nL 222.852831 171.064895 \nL 223.591711 172.946877 \nL 224.473532 174.722314 \nL 225.499844 176.385151 \nL 226.673421 177.928143 \nL 227.998194 179.342717 \nL 229.479169 180.618732 \nL 231.122329 181.744316 \nL 232.934524 182.705602 \nL 234.923315 183.486494 \nL 237.096807 184.068416 \nL 239.463406 184.430068 \nL 242.031531 184.547195 \nL 244.809257 184.392407 \nL 247.803838 183.935094 \nL 251.021151 183.141457 \nL 254.464995 181.974719 \nL 258.136225 180.395644 \nL 262.031765 178.3634 \nL 266.143424 175.836871 \nL 270.456569 172.776607 \nL 274.948684 169.147415 \nL 279.587834 164.921756 \nL 284.331209 160.083873 \nL 289.12382 154.634616 \nL 293.8976 148.596625 \nL 298.571085 142.019511 \nL 303.050047 134.984252 \nL 307.229237 127.605937 \nL 310.995532 120.033948 \nL 314.232514 112.448582 \nL 316.826433 105.053608 \nL 318.673147 98.064737 \nL 319.685489 91.694856 \nL 319.800247 86.13762 \nL 318.983843 81.551768 \nL 317.235936 78.04841 \nL 314.590356 75.683425 \nL 311.113194 74.456066 \nL 306.898278 74.313611 \nL 302.060652 75.161047 \nL 296.728934 76.873601 \nL 291.037438 79.310254 \nL 285.118907 82.326159 \nL 279.098404 85.782727 \nL 273.088776 89.554671 \nL 267.187676 93.534172 \nL 261.476117 97.632417 \nL 256.018241 101.779194 \nL 250.862077 105.921195 \nL 246.040935 110.019622 \nL 241.575207 114.047578 \nL 237.47433 117.987485 \nL 233.738767 121.828847 \nL 230.361881 125.566287 \nL 227.331646 129.197996 \nL 224.632144 132.724538 \nL 222.244847 136.147972 \nL 220.149682 139.471166 \nL 218.325903 142.697385 \nL 216.752773 145.829977 \nL 215.410093 148.872195 \nL 214.278606 151.827082 \nL 213.340272 154.697414 \nL 212.578468 157.485686 \nL 211.978109 160.194101 \nL 211.525705 162.824562 \nL 211.209392 165.378715 \nL 211.01891 167.857909 \nL 210.982228 172.595544 \nL 211.364156 177.042893 \nL 212.13575 181.200548 \nL 212.664346 183.169358 \nL 213.288822 185.063214 \nL 214.011156 186.88026 \nL 214.834461 188.618003 \nL 215.762969 190.273218 \nL 216.802013 191.841815 \nL 217.958027 193.318704 \nL 219.238531 194.697593 \nL 220.652134 195.970799 \nL 222.20853 197.129002 \nL 223.918476 198.16096 \nL 225.79377 199.053185 \nL 227.8472 199.78958 \nL 230.092462 200.35102 \nL 232.544036 200.714912 \nL 235.216994 200.854697 \nL 238.126739 200.739354 \nL 241.288617 200.332917 \nL 244.717421 199.594044 \nL 248.42669 198.475718 \nL 252.427829 196.925147 \nL 256.72896 194.884067 \nL 261.333479 192.289521 \nL 266.238306 189.075411 \nL 271.43177 185.175036 \nL 276.891204 180.524913 \nL 282.580251 175.070107 \nL 288.446089 168.771242 \nL 294.416802 161.613163 \nL 300.399196 153.614854 \nL 306.277675 144.839752 \nL 311.914622 135.40509 \nL 317.152999 125.488247 \nL 321.821636 115.327745 \nL 325.743458 105.216692 \nL 328.746482 95.487237 \nL 330.676784 86.486254 \nL 331.411975 78.544666 \nL 330.873422 71.944798 \nL 329.035167 66.891702 \nL 325.927951 63.493807 \nL 321.637598 61.756777 \nL 316.297885 61.591091 \nL 310.079134 62.831023 \nL 303.174355 65.260327 \nL 295.784977 68.639411 \nL 288.107899 72.729484 \nL 280.32514 77.310877 \nL 272.596613 82.194383 \nL 265.056011 87.226447 \nL 257.809471 92.289226 \nL 250.936314 97.297332 \nL 244.491252 102.192922 \nL 238.507439 106.940049 \nL 232.999915 111.519327 \nL 227.969043 115.923235 \nL 223.403744 120.152242 \nL 219.284382 124.21186 \nL 215.58525 128.110451 \nL 212.276639 131.857669 \nL 209.326505 135.463438 \nL 206.701796 138.937326 \nL 204.369458 142.288173 \nL 202.297185 145.523903 \nL 200.453944 148.6515 \nL 197.338769 154.605701 \nL 194.811208 160.189528 \nL 192.689156 165.43071 \nL 187.334633 179.254181 \nL 185.51188 183.24637 \nL 183.512978 186.921385 \nL 182.420328 188.63424 \nL 181.251049 190.259392 \nL 179.994036 191.792193 \nL 178.637861 193.226857 \nL 177.170676 194.556244 \nL 175.580124 195.771656 \nL 173.853281 196.862556 \nL 171.9766 197.816272 \nL 169.935908 198.617655 \nL 167.716413 199.248673 \nL 165.302786 199.687997 \nL 162.679282 199.910529 \nL 159.829959 199.886924 \nL 156.738987 199.583117 \nL 153.391103 198.959893 \nL 149.772197 197.972558 \nL 145.870133 196.57081 \nL 141.675789 194.698923 \nL 137.184361 192.296382 \nL 132.397001 189.299207 \nL 127.322769 185.642156 \nL 121.980916 181.262111 \nL 116.403389 176.102854 \nL 110.63757 170.12146 \nL 104.74885 163.296266 \nL 98.822892 155.636209 \nL 92.967059 147.190834 \nL 87.310467 138.059721 \nL 82.002087 128.399617 \nL 77.206368 118.427068 \nL 73.096043 108.414292 \nL 69.842166 98.676694 \nL 67.601974 89.551743 \nL 66.505768 81.370676 \nL 66.644514 74.427054 \nL 68.060014 68.947207 \nL 70.739441 65.068327 \nL 74.615141 62.828229 \nL 79.569991 62.168583 \nL 85.447273 62.950035 \nL 92.063587 64.975456 \nL 99.222756 68.016278 \nL 106.729015 71.837135 \nL 114.397992 76.215677 \nL 122.064813 80.955962 \nL 129.589097 85.895405 \nL 136.857173 90.906419 \nL 143.782006 95.894316 \nL 150.301489 100.793016 \nL 156.375723 105.559691 \nL 161.983762 110.169521 \nL 167.120241 114.610851 \nL 171.792127 118.881165 \nL 176.015775 122.983917 \nL 179.814351 126.926082 \nL 183.215668 130.716483 \nL 186.2504 134.364592 \nL 188.950671 137.879768 \nL 191.348949 141.270821 \nL 193.477223 144.545772 \nL 195.366407 147.711767 \nL 197.045929 150.775045 \nL 199.88485 156.614406 \nL 202.192725 162.098597 \nL 205.020545 169.711922 \nL 208.29397 178.795481 \nL 209.954143 182.894118 \nL 211.74853 186.694317 \nL 213.759527 190.183906 \nL 214.871935 191.805541 \nL 216.06969 193.339845 \nL 217.363774 194.781604 \nL 218.765645 196.124358 \nL 220.287312 197.360189 \nL 221.941417 198.479454 \nL 223.741285 199.470507 \nL 225.700958 200.319344 \nL 227.83519 201.009227 \nL 230.159414 201.520256 \nL 232.689633 201.828895 \nL 235.442265 201.907451 \nL 238.433876 201.723575 \nL 241.68081 201.239739 \nL 245.198656 200.412818 \nL 249.001539 199.193779 \nL 253.101176 197.527636 \nL 257.505677 195.353794 \nL 262.218019 192.606958 \nL 267.234188 189.21887 \nL 272.54095 185.121113 \nL 278.11332 180.249295 \nL 283.911749 174.548868 \nL 289.879249 167.982681 \nL 295.938723 160.540267 \nL 301.990852 152.248284 \nL 307.913125 143.181221 \nL 313.56064 133.47075 \nL 318.769229 123.311444 \nL 323.361534 112.960511 \nL 327.15612 102.729164 \nL 329.979385 92.964507 \nL 331.679226 84.022523 \nL 332.138918 76.235254 \nL 331.289188 69.87718 \nL 329.116477 65.137048 \nL 325.665784 62.100743 \nL 321.037599 60.748363 \nL 315.379315 60.965374 \nL 308.87257 62.564638 \nL 301.718598 65.314159 \nL 294.12366 68.964928 \nL 286.28623 73.274692 \nL 278.387127 78.025082 \nL 270.582935 83.031542 \nL 263.002609 88.147005 \nL 255.746768 93.260745 \nL 248.888969 98.294341 \nL 242.478326 103.19616 \nL 236.542822 107.935498 \nL 231.0929 112.49717 \nL 226.124969 116.87689 \nL 221.624648 121.077517 \nL 217.569611 125.106257 \nL 213.932012 128.972622 \nL 210.68048 132.687011 \nL 207.781723 136.259798 \nL 205.201772 139.70076 \nL 202.906926 143.018807 \nL 200.864441 146.221851 \nL 199.043003 149.316782 \nL 195.946888 155.205104 \nL 193.405261 160.721034 \nL 190.241432 168.350701 \nL 187.420055 175.248778 \nL 185.530174 179.448218 \nL 183.513854 183.321601 \nL 181.277085 186.852263 \nL 180.047304 188.480447 \nL 178.727802 190.010651 \nL 177.306693 191.436459 \nL 175.771735 192.750025 \nL 174.110248 193.941827 \nL 172.309066 195.000395 \nL 170.354494 195.912011 \nL 168.232309 196.660346 \nL 165.927814 197.226083 \nL 163.425934 197.586497 \nL 160.71138 197.715005 \nL 157.768915 197.580746 \nL 154.583736 197.148149 \nL 151.14197 196.376629 \nL 147.431375 195.220382 \nL 143.442226 193.628476 \nL 139.168459 191.545276 \nL 134.609077 188.911452 \nL 129.769865 185.665704 \nL 124.665386 181.747474 \nL 119.321272 177.100849 \nL 113.776664 171.679895 \nL 108.086697 165.455425 \nL 102.32475 158.423132 \nL 96.584131 150.61265 \nL 90.978712 142.096585 \nL 85.641991 132.998224 \nL 80.724121 123.496057 \nL 76.38641 113.823017 \nL 72.793245 104.258789 \nL 70.101682 95.114127 \nL 68.44958 86.707839 \nL 67.94354 79.338863 \nL 68.648382 73.257603 \nL 70.579782 68.641458 \nL 73.701395 65.57928 \nL 77.927081 64.067472 \nL 83.127853 64.017888 \nL 89.14245 65.275407 \nL 95.78995 67.640851 \nL 102.882582 70.894972 \nL 110.237267 74.819627 \nL 117.684869 79.213766 \nL 125.076638 83.903568 \nL 132.2879 88.746963 \nL 139.219286 93.633932 \nL 145.796115 98.483738 \nL 151.966423 103.240634 \nL 157.698224 107.868988 \nL 162.976423 112.348535 \nL 167.799678 116.670164 \nL 172.177433 120.832441 \nL 176.127261 124.838906 \nL 179.672558 128.696028 \nL 182.8406 132.411757 \nL 185.660971 135.994552 \nL 188.164306 139.452737 \nL 190.381327 142.79416 \nL 192.342114 146.025967 \nL 194.07559 149.154568 \nL 195.609168 152.185611 \nL 198.177544 157.974211 \nL 200.230588 163.424224 \nL 201.922712 168.560259 \nL 207.353413 186.271451 \nL 208.80617 190.030176 \nL 210.439816 193.520473 \nL 212.323228 196.730444 \nL 213.381271 198.223882 \nL 214.529829 199.63792 \nL 215.779327 200.967532 \nL 217.140871 202.206455 \nL 218.626324 203.346966 \nL 220.248383 204.379627 \nL 222.020638 205.292951 \nL 223.957604 206.073058 \nL 226.07474 206.703234 \nL 228.388419 207.163465 \nL 230.915857 207.429892 \nL 233.674961 207.474227 \nL 236.684102 207.26312 \nL 239.961756 206.757525 \nL 243.525995 205.912108 \nL 247.393793 204.674736 \nL 251.580072 202.986232 \nL 256.096456 200.780446 \nL 260.94968 197.984949 \nL 266.139581 194.522548 \nL 271.656674 190.313989 \nL 277.479295 185.282183 \nL 283.570354 179.358371 \nL 289.873929 172.490425 \nL 296.311866 164.653363 \nL 302.780958 155.861688 \nL 309.151201 146.182554 \nL 315.265988 135.747907 \nL 320.944941 124.763048 \nL 325.990195 113.508369 \nL 330.196447 102.331262 \nL 333.364589 91.626155 \nL 335.317772 81.803054 \nL 335.91813 73.24792 \nL 335.081586 66.281334 \nL 332.788203 61.123291 \nL 329.086039 57.871563 \nL 324.08768 56.49798 \nL 317.959992 56.862479 \nL 310.908967 58.740777 \nL 303.16217 61.858643 \nL 294.951484 65.925982 \nL 286.498242 70.664947 \nL 278.00197 75.829572 \nL 269.633284 81.216281 \nL 261.530527 86.66681 \nL 253.799543 92.065651 \nL 246.515659 97.334208 \nL 239.72707 102.423731 \nL 233.458915 107.308126 \nL 227.717505 111.977558 \nL 222.494362 116.433116 \nL 217.769859 120.682676 \nL 213.516366 124.737893 \nL 209.700876 128.612007 \nL 206.287116 132.318474 \nL 203.237229 135.870067 \nL 200.51304 139.27842 \nL 198.077007 142.553763 \nL 195.892884 145.704899 \nL 192.144389 151.662889 \nL 189.016431 157.196768 \nL 181.340192 171.45765 \nL 178.81697 175.432883 \nL 177.487522 177.264775 \nL 176.093465 178.98683 \nL 174.620808 180.593059 \nL 173.05582 182.076129 \nL 171.384936 183.427165 \nL 169.594664 184.63555 \nL 167.671528 185.688677 \nL 165.602064 186.571689 \nL 163.372838 187.267207 \nL 160.970541 187.755023 \nL 158.382137 188.01183 \nL 155.595102 188.01093 \nL 152.597752 187.722046 \nL 149.379698 187.11117 \nL 145.932433 186.140617 \nL 142.250084 184.769273 \nL 138.330345 182.95317 \nL 134.175602 180.646509 \nL 129.794268 177.803256 \nL 125.202288 174.37943 \nL 120.424807 170.336261 \nL 115.497899 165.644248 \nL 110.470256 160.28814 \nL 105.404602 154.272682 \nL 100.37866 147.628799 \nL 95.485298 140.41951 \nL 90.831546 132.744766 \nL 86.536215 124.744055 \nL 82.725817 116.595502 \nL 79.528758 108.510521 \nL 77.06807 100.723434 \nL 75.453109 93.476379 \nL 74.771075 87.000996 \nL 75.079413 81.499027 \nL 76.400076 77.125039 \nL 78.716674 73.973875 \nL 81.974845 72.07512 \nL 86.085976 71.395093 \nL 90.933664 71.845689 \nL 96.382051 73.298001 \nL 102.284917 75.598132 \nL 108.494476 78.582614 \nL 114.86899 82.091503 \nL 121.278742 85.978095 \nL 127.61012 90.114901 \nL 133.767852 94.396362 \nL 139.675675 98.738889 \nL 145.275791 103.079129 \nL 150.527419 107.371278 \nL 155.40485 111.583942 \nL 159.89522 115.697047 \nL 163.99624 119.699034 \nL 167.71403 123.584497 \nL 171.061135 127.352288 \nL 174.054781 131.004014 \nL 176.715377 134.542967 \nL 179.065282 137.973347 \nL 181.127798 141.299708 \nL 182.926374 144.526635 \nL 184.483991 147.658538 \nL 185.822715 150.699541 \nL 186.963368 153.653405 \nL 187.925308 156.523545 \nL 188.726302 159.313042 \nL 189.908209 164.660893 \nL 190.618025 169.715883 \nL 190.939206 174.493323 \nL 190.93195 179.005546 \nL 190.635783 183.262167 \nL 190.071995 187.27002 \nL 189.245627 191.032706 \nL 188.146869 194.549742 \nL 186.751812 197.815234 \nL 185.931887 199.349844 \nL 185.022569 200.815835 \nL 184.01686 202.209885 \nL 182.906806 203.52778 \nL 181.683451 204.764224 \nL 180.336802 205.912639 \nL 178.855784 206.96493 \nL 177.228203 207.911183 \nL 175.440717 208.739338 \nL 173.478818 209.43479 \nL 171.326843 209.979921 \nL 168.968022 210.353591 \nL 166.384566 210.530545 \nL 163.557835 210.480746 \nL 160.468604 210.168706 \nL 157.097444 209.552759 \nL 153.425283 208.584397 \nL 149.434173 207.207723 \nL 145.108327 205.359121 \nL 140.435476 202.967373 \nL 135.408643 199.954391 \nL 130.028331 196.236944 \nL 124.305225 191.729678 \nL 118.263346 186.349931 \nL 111.943624 180.024696 \nL 105.407677 172.700021 \nL 98.741484 164.352934 \nL 92.05843 155.005277 \nL 85.500976 144.738307 \nL 79.24017 133.705827 \nL 73.471976 122.14272 \nL 68.409714 110.365214 \nL 64.272269 98.759518 \nL 61.268521 87.756901 \nL 59.579311 77.796282 \nL 59.339366 69.279097 \nL 60.621896 62.524126 \nL 63.42899 57.731654 \nL 67.689458 54.964834 \nL 73.264943 54.151595 \nL 79.963014 55.105776 \nL 87.554935 57.561241 \nL 95.795091 61.210842 \nL 104.43922 65.742556 \nL 113.259374 70.86751 \nL 122.054499 76.337827 \nL 130.65661 81.95456 \nL 138.932911 87.568116 \nL 146.784941 93.073434 \nL 154.145633 98.402617 \nL 160.975194 103.516769 \nL 167.25653 108.398313 \nL 172.990695 113.044388 \nL 178.192689 117.461567 \nL 182.887758 121.661879 \nL 187.108272 125.659991 \nL 190.891161 129.471251 \nL 194.275894 133.110528 \nL 197.302898 136.591448 \nL 200.012388 139.926087 \nL 202.443515 143.124815 \nL 206.618686 149.147804 \nL 210.103168 154.711939 \nL 218.632105 168.871548 \nL 221.420877 172.739673 \nL 222.886372 174.500643 \nL 224.42007 176.138563 \nL 226.036793 177.646009 \nL 227.7509 179.014023 \nL 229.576372 180.231938 \nL 231.526875 181.287142 \nL 233.615776 182.164881 \nL 235.856108 182.848013 \nL 238.260482 183.316774 \nL 240.840931 183.548569 \nL 243.608664 183.517782 \nL 246.573725 183.195667 \nL 249.744555 182.550349 \nL 253.127401 181.546992 \nL 256.725593 180.148195 \nL 260.538663 178.314726 \nL 264.561301 176.006663 \nL 268.782139 173.185073 \nL 273.182426 169.814333 \nL 277.73458 165.865135 \nL 282.400785 161.318274 \nL 287.131673 156.169064 \nL 291.865336 150.432286 \nL 296.526822 144.1472 \nL 301.028438 137.382105 \nL 305.271067 130.237613 \nL 309.146719 122.847768 \nL 312.542514 115.378046 \nL 315.345981 108.019614 \nL 317.451486 100.9796 \nL 318.767269 94.467896 \nL 319.222421 88.681802 \nL 318.77293 83.790336 \nL 317.405975 79.920775 \nL 315.141876 77.149228 \nL 312.033285 75.496936 \nL 308.161757 74.932458 \nL 303.63216 75.379264 \nL 298.565611 76.72684 \nL 293.091861 78.843526 \nL 287.34196 81.589047 \nL 281.441845 84.825236 \nL 275.507272 88.424106 \nL 269.640312 92.273037 \nL 263.927309 96.27732 \nL 258.438205 100.360505 \nL 253.226858 104.463266 \nL 248.332154 108.541408 \nL 243.779597 112.563384 \nL 239.583163 116.507788 \nL 235.747214 120.361073 \nL 232.268384 124.115487 \nL 229.137311 127.767452 \nL 226.340185 131.316222 \nL 223.860101 134.762906 \nL 221.678184 138.109706 \nL 219.774532 141.359425 \nL 218.128958 144.515096 \nL 216.721584 147.579752 \nL 215.533286 150.556283 \nL 214.546023 153.447339 \nL 213.74307 156.255333 \nL 213.10917 158.982367 \nL 212.630623 161.630262 \nL 212.295331 164.200557 \nL 212.092798 166.694496 \nL 212.014117 169.113045 \nL 212.051926 171.456875 \nL 212.455005 175.921494 \nL 212.812826 178.041997 \nL 213.272126 180.08712 \nL 213.832495 182.055691 \nL 214.494766 183.946007 \nL 215.260974 185.755766 \nL 216.134331 187.481965 \nL 217.119199 189.12078 \nL 218.221072 190.667436 \nL 219.446567 192.116036 \nL 220.803401 193.459369 \nL 222.300386 194.68869 \nL 223.947402 195.793448 \nL 225.755366 196.761006 \nL 227.736184 197.576282 \nL 229.902666 198.221384 \nL 232.268413 198.67519 \nL 234.847638 198.912889 \nL 237.654919 198.905526 \nL 240.704853 198.619545 \nL 244.011603 198.016381 \nL 247.588259 197.052163 \nL 251.446044 195.677594 \nL 255.59327 193.838154 \nL 260.034042 191.474742 \nL 264.766655 188.524988 \nL 269.781677 184.925415 \nL 275.059758 180.614741 \nL 280.569128 175.538538 \nL 286.263023 169.655392 \nL 292.077152 162.944636 \nL 297.927518 155.415332 \nL 303.709069 147.115885 \nL 309.295666 138.143148 \nL 314.541868 128.649248 \nL 319.287195 118.844193 \nL 323.363014 108.991975 \nL 326.602144 99.398765 \nL 328.850536 90.392729 \nL 329.979921 82.29709 \nL 329.899872 75.399817 \nL 328.567398 69.925079 \nL 325.992456 66.011696 \nL 322.238371 63.702628 \nL 317.416981 62.947298 \nL 311.67929 63.615556 \nL 305.203146 65.519516 \nL 298.17977 68.438838 \nL 290.800959 72.144663 \nL 283.248205 76.41914 \nL 275.684632 81.068889 \nL 268.249865 85.932262 \nL 261.057674 90.881388 \nL 254.195816 95.820486 \nL 247.727563 100.681908 \nL 241.69424 105.42116 \nL 236.118344 110.011747 \nL 231.006817 114.440476 \nL 226.354207 118.703518 \nL 222.145575 122.803199 \nL 218.35904 126.745613 \nL 214.967943 130.538865 \nL 211.942623 134.191883 \nL 209.251843 137.713631 \nL 206.863902 141.112627 \nL 204.747478 144.396687 \nL 202.872237 147.572824 \nL 201.209259 150.647212 \nL 198.412995 156.511622 \nL 196.163132 162.024901 \nL 194.293759 167.213008 \nL 188.933402 183.035759 \nL 187.339044 186.918395 \nL 185.56842 190.513538 \nL 183.545469 193.806721 \nL 182.414833 195.332529 \nL 181.190957 196.77201 \nL 179.862865 198.119433 \nL 178.418972 199.367713 \nL 176.847001 200.508177 \nL 175.133923 201.530284 \nL 173.265908 202.421299 \nL 171.228309 203.165912 \nL 169.00567 203.74582 \nL 166.581793 204.13924 \nL 163.939853 204.320384 \nL 161.062605 204.258912 \nL 157.932686 203.919348 \nL 154.533048 203.260554 \nL 150.847579 202.235265 \nL 146.861924 200.789813 \nL 142.564559 198.864161 \nL 137.948177 196.392393 \nL 133.011435 193.303925 \nL 127.761068 189.525676 \nL 122.214386 184.985529 \nL 116.402144 179.617388 \nL 110.37162 173.368136 \nL 104.189677 166.206497 \nL 97.945547 158.133688 \nL 91.752744 149.195071 \nL 85.749518 139.491576 \nL 80.097148 129.188695 \nL 74.975392 118.520541 \nL 70.574616 107.786135 \nL 67.08461 97.335739 \nL 64.680756 87.546683 \nL 63.508877 78.79044 \nL 63.670822 71.395591 \nL 65.21303 65.61298 \nL 68.120208 61.590038 \nL 72.315325 59.359527 \nL 77.666044 58.844402 \nL 83.996478 59.876796 \nL 91.102295 62.226318 \nL 98.766758 65.631198 \nL 106.775616 69.826755 \nL 114.929265 74.567461 \nL 123.051385 79.64111 \nL 130.993974 84.875355 \nL 138.639211 90.138305 \nL 145.898814 95.334985 \nL 152.711704 100.401725 \nL 159.040634 105.299698 \nL 164.868392 110.008753 \nL 170.193966 114.521999 \nL 175.028954 118.84137 \nL 179.394356 122.974253 \nL 183.317828 126.931001 \nL 186.83141 130.723172 \nL 189.969687 134.36244 \nL 192.768353 137.859856 \nL 195.263111 141.225505 \nL 197.488873 144.468297 \nL 199.479188 147.595961 \nL 202.878809 153.531168 \nL 205.692637 159.071631 \nL 210.326602 169.063825 \nL 212.459055 173.536607 \nL 214.64111 177.658314 \nL 216.984418 181.414106 \nL 218.249243 183.146633 \nL 219.59313 184.775961 \nL 221.028718 186.295908 \nL 222.568737 187.698909 \nL 224.226096 188.975804 \nL 226.01395 190.115588 \nL 227.945749 191.105139 \nL 230.035236 191.928916 \nL 232.296411 192.568622 \nL 234.743438 193.002841 \nL 237.390486 193.206667 \nL 240.251482 193.151352 \nL 243.339757 192.803986 \nL 246.667562 192.127265 \nL 250.245443 191.0794 \nL 254.081416 189.61427 \nL 258.17993 187.681916 \nL 262.540612 185.229528 \nL 267.156742 182.203078 \nL 272.0135 178.549793 \nL 277.085987 174.221657 \nL 282.337126 169.180053 \nL 287.715583 163.401614 \nL 293.153868 156.885154 \nL 298.567018 149.659235 \nL 303.852118 141.789735 \nL 308.889197 133.386194 \nL 313.54381 124.605552 \nL 317.67173 115.651597 \nL 321.125766 106.768813 \nL 323.764538 98.229697 \nL 325.462525 90.316106 \nL 326.1204 83.296261 \nL 325.674227 77.400648 \nL 324.102232 72.800769 \nL 321.427987 69.594434 \nL 317.719413 67.800223 \nL 313.083703 67.361722 \nL 307.658962 68.160148 \nL 301.603767 70.032475 \nL 295.086138 72.791392 \nL 288.273187 76.244038 \nL 281.32245 80.207043 \nL 274.37543 84.516922 \nL 267.553539 89.035795 \nL 260.956167 93.653088 \nL 254.660579 98.28437 \nL 248.723119 102.868433 \nL 243.181277 107.363374 \nL 238.056239 111.742625 \nL 233.35561 115.991218 \nL 229.076068 120.102525 \nL 225.205825 124.075673 \nL 221.726825 127.913494 \nL 218.616621 131.620995 \nL 215.849944 135.204326 \nL 213.399975 138.670032 \nL 211.239356 142.024592 \nL 209.340965 145.274148 \nL 207.678494 148.424384 \nL 206.226857 151.480429 \nL 204.962468 154.446903 \nL 202.909506 160.127208 \nL 201.365278 165.493373 \nL 200.202846 170.568161 \nL 199.320205 175.370584 \nL 198.349311 182.098835 \nL 197.21453 192.158706 \nL 196.192196 200.93243 \nL 195.464303 205.641863 \nL 194.554975 209.966272 \nL 193.80521 212.644077 \nL 192.905222 215.160966 \nL 191.818365 217.516397 \nL 190.500453 219.705601 \nL 188.897731 221.717735 \nL 186.944542 223.533089 \nL 185.812091 224.3574 \nL 184.560623 225.118914 \nL 183.17733 225.810481 \nL 181.648105 226.423206 \nL 179.957436 226.946079 \nL 178.088325 227.365512 \nL 176.022203 227.664814 \nL 173.738882 227.823535 \nL 171.216543 227.816725 \nL 168.431777 227.614049 \nL 165.359728 227.178799 \nL 161.974334 226.466773 \nL 158.248764 225.425094 \nL 154.156049 223.990985 \nL 149.670059 222.090661 \nL 144.766826 219.638464 \nL 139.426409 216.536554 \nL 133.635365 212.675514 \nL 127.389942 207.936453 \nL 120.700119 202.19525 \nL 113.594473 195.329792 \nL 106.125802 187.231038 \nL 98.377232 177.818556 \nL 90.468197 167.06064 \nL 82.559333 154.998053 \nL 74.854972 141.768847 \nL 67.601591 127.629628 \nL 61.080408 112.966673 \nL 55.593017 98.289518 \nL 51.439678 84.201127 \nL 48.89188 71.343041 \nL 48.162789 60.321688 \nL 49.38044 51.629152 \nL 52.569364 45.576827 \nL 57.644788 42.258618 \nL 64.421004 41.552488 \nL 72.632057 43.1578 \nL 81.960423 46.65624 \nL 92.068012 51.579569 \nL 102.624311 57.469422 \nL 113.328312 63.919965 \nL 123.922671 70.601145 \nL 144.005776 83.740216 \nL 161.807773 95.746809 \nL 176.919234 106.283914 \nL 189.373029 115.41986 \nL 194.685761 119.52666 \nL 199.450773 123.364032 \nL 203.719478 126.958424 \nL 210.978233 133.508516 \nL 216.871936 139.323181 \nL 223.959424 146.860313 \nL 229.864984 153.087979 \nL 233.55592 156.508618 \nL 235.401553 157.987722 \nL 237.274674 159.303952 \nL 239.193202 160.448975 \nL 241.173086 161.41304 \nL 243.228399 162.184981 \nL 245.371355 162.752244 \nL 247.612284 163.100965 \nL 249.959556 163.216034 \nL 252.419431 163.081302 \nL 254.995853 162.679783 \nL 257.690186 161.994072 \nL 260.500872 161.006804 \nL 263.423053 159.701328 \nL 266.448125 158.062575 \nL 269.56328 156.078087 \nL 272.751058 153.739272 \nL 275.988878 151.042846 \nL 279.248717 147.992456 \nL 282.496883 144.600321 \nL 285.694015 140.888841 \nL 288.795326 136.89204 \nL 291.751187 132.656564 \nL 294.50815 128.242102 \nL 297.010347 123.720943 \nL 299.201344 119.176551 \nL 301.026356 114.701043 \nL 302.434755 110.391585 \nL 303.382657 106.345908 \nL 303.835492 102.657306 \nL 303.770165 99.40952 \nL 303.176779 96.672055 \nL 302.059587 94.496543 \nL 300.437142 92.914388 \nL 298.341552 91.936056 \nL 295.816986 91.551961 \nL 292.917486 91.734794 \nL 289.704362 92.44278 \nL 286.243363 93.623637 \nL 282.60188 95.218633 \nL 278.846372 97.166302 \nL 275.040154 99.405692 \nL 271.24168 101.878887 \nL 267.50327 104.532742 \nL 263.870369 107.319905 \nL 260.381221 110.199279 \nL 257.066923 113.135957 \nL 253.951747 116.100863 \nL 251.053684 119.07016 \nL 248.38512 122.024541 \nL 245.953589 124.948541 \nL 243.762531 127.829828 \nL 241.812057 130.658556 \nL 240.099656 133.426821 \nL 238.620838 136.128155 \nL 237.369731 138.757162 \nL 236.339568 141.309133 \nL 235.523119 143.779811 \nL 234.913057 146.165129 \nL 234.502249 148.46106 \nL 234.283978 150.663411 \nL 234.252132 152.767714 \nL 234.401319 154.769091 \nL 234.726962 156.662124 \nL 235.225348 158.440757 \nL 235.893639 160.098178 \nL 236.729858 161.626703 \nL 237.732841 163.017653 \nL 238.902166 164.261268 \nL 240.238056 165.346584 \nL 241.741236 166.261305 \nL 243.412774 166.991757 \nL 245.25388 167.522794 \nL 247.265654 167.837777 \nL 249.448797 167.918601 \nL 251.803272 167.745767 \nL 254.327896 167.298607 \nL 257.019878 166.555562 \nL 259.874293 165.494703 \nL 262.883483 164.094357 \nL 266.036422 162.334028 \nL 269.318032 160.195584 \nL 272.708467 157.664664 \nL 276.182465 154.732425 \nL 279.708709 151.397518 \nL 283.249408 147.668193 \nL 286.760027 143.564503 \nL 290.189392 139.120321 \nL 293.48019 134.384944 \nL 296.569942 129.423992 \nL 299.392573 124.319303 \nL 301.880551 119.167519 \nL 303.967568 114.077183 \nL 305.591614 109.164369 \nL 306.698297 104.547028 \nL 307.244098 100.338421 \nL 307.199303 96.640422 \nL 306.550238 93.537272 \nL 305.300587 91.090668 \nL 303.471622 89.336702 \nL 301.101313 88.284981 \nL 298.242331 87.920023 \nL 294.959244 88.204453 \nL 291.325131 89.083599 \nL 287.417983 90.490786 \nL 283.317151 92.352646 \nL 279.100177 94.59395 \nL 274.840116 97.141615 \nL 270.603506 99.927592 \nL 266.449 102.890842 \nL 262.426626 105.97828 \nL 258.577557 109.144993 \nL 254.93435 112.353893 \nL 251.521485 115.575031 \nL 248.35615 118.784687 \nL 245.449147 121.964384 \nL 242.805848 125.099952 \nL 240.427158 128.180625 \nL 238.310419 131.198281 \nL 236.450255 134.146787 \nL 234.839333 137.021453 \nL 233.46901 139.818576 \nL 232.329902 142.535124 \nL 231.412347 145.168407 \nL 230.706799 147.71591 \nL 230.20413 150.175068 \nL 229.895869 152.543163 \nL 229.77439 154.817153 \nL 229.833036 156.993612 \nL 230.066207 159.068569 \nL 230.46941 161.037442 \nL 231.039281 162.894928 \nL 231.773573 164.634867 \nL 232.67113 166.250139 \nL 233.731824 167.732534 \nL 234.956486 169.072609 \nL 236.346795 170.25957 \nL 237.905157 171.281093 \nL 239.634551 172.123199 \nL 241.538327 172.770129 \nL 243.619987 173.204219 \nL 245.88289 173.405835 \nL 248.329913 173.353372 \nL 250.963056 173.02329 \nL 253.782941 172.390349 \nL 256.788259 171.427921 \nL 259.975109 170.108561 \nL 263.336261 168.404849 \nL 266.860321 166.290498 \nL 270.530851 163.741876 \nL 274.325429 160.739893 \nL 278.21477 157.272321 \nL 282.16189 153.336461 \nL 286.121487 148.942064 \nL 290.039616 144.114332 \nL 293.853805 138.896688 \nL 297.493751 133.352915 \nL 300.882721 127.568257 \nL 303.93974 121.648933 \nL 306.582604 115.719791 \nL 308.731579 109.919718 \nL 310.313661 104.394977 \nL 311.266989 99.29089 \nL 311.545099 94.742547 \nL 311.120458 90.865772 \nL 309.986932 87.749303 \nL 308.160789 85.449402 \nL 305.680172 83.987502 \nL 302.602972 83.351107 \nL 299.003429 83.497657 \nL 294.967842 84.360555 \nL 290.589785 85.856366 \nL 285.965391 87.892389 \nL 281.188999 90.373401 \nL 276.349575 93.207258 \nL 271.527941 96.309011 \nL 266.794934 99.603452 \nL 262.21045 103.02634 \nL 257.823165 106.524502 \nL 253.670904 110.055198 \nL 249.781395 113.585003 \nL 246.173324 117.088495 \nL 242.857534 120.546815 \nL 239.838282 123.946346 \nL 237.114474 127.277559 \nL 234.68082 130.533956 \nL 232.528876 133.71129 \nL 230.647982 136.806843 \nL 229.02605 139.818968 \nL 227.650233 142.746643 \nL 226.50748 145.589207 \nL 225.58498 148.346143 \nL 224.870508 151.016887 \nL 224.352699 153.600711 \nL 224.021236 156.096641 \nL 223.867005 158.503363 \nL 223.882173 160.819138 \nL 224.060258 163.041736 \nL 224.396147 165.168363 \nL 224.8861 167.195564 \nL 225.527733 169.11914 \nL 226.319982 170.934028 \nL 227.263062 172.634181 \nL 228.35841 174.212433 \nL 229.608606 175.660334 \nL 231.017298 176.967982 \nL 232.58909 178.123845 \nL 234.329424 179.114549 \nL 236.244421 179.924649 \nL 238.340706 180.536443 \nL 240.625154 180.929772 \nL 243.104616 181.081814 \nL 245.785543 180.966983 \nL 248.673557 180.5569 \nL 251.772887 179.820468 \nL 255.085725 178.724129 \nL 258.611428 177.232424 \nL 262.345605 175.308829 \nL 266.279038 172.917033 \nL 270.396514 170.022733 \nL 274.675544 166.596008 \nL 279.085055 162.614363 \nL 283.584125 158.066355 \nL 288.120946 152.955772 \nL 292.632071 147.306076 \nL 297.042307 141.164717 \nL 301.265324 134.606759 \nL 305.205302 127.737043 \nL 308.759748 120.690169 \nL 311.823494 113.627487 \nL 314.293911 106.730721 \nL 316.076852 100.192215 \nL 317.093058 94.202525 \nL 317.284156 88.936532 \nL 316.617683 84.540021 \nL 315.090345 81.118606 \nL 312.729082 78.730618 \nL 309.589736 77.385185 \nL 305.753437 77.045239 \nL 301.321264 77.63494 \nL 296.407729 79.049878 \nL 291.133959 81.168439 \nL 285.62123 83.862615 \nL 279.985356 87.007139 \nL 274.332367 90.486308 \nL 268.755523 94.198334 \nL 263.333609 98.057389 \nL 258.130413 101.993813 \nL 253.195082 105.953182 \nL 248.563167 109.894477 \nL 244.258051 113.787987 \nL 240.292629 117.613102 \nL 236.671047 121.356302 \nL 233.390392 125.009377 \nL 230.442274 128.567974 \nL 227.814234 132.030417 \nL 225.490962 135.396804 \nL 223.45535 138.668329 \nL 221.689344 141.846811 \nL 220.174642 144.934355 \nL 218.893243 147.933123 \nL 217.827866 150.845191 \nL 216.962264 153.672427 \nL 216.281451 156.416474 \nL 215.771845 159.078702 \nL 215.421371 161.660163 \nL 215.219503 164.161613 \nL 215.157281 166.583454 \nL 215.227301 168.925753 \nL 215.423688 171.188184 \nL 215.742056 173.369992 \nL 216.17947 175.469961 \nL 216.734393 177.486341 \nL 217.40665 179.416777 \nL 218.197375 181.258217 \nL 219.108978 183.006801 \nL 220.145101 184.657729 \nL 221.310582 186.205128 \nL 222.611424 187.641848 \nL 224.05475 188.959284 \nL 225.64876 190.147125 \nL 227.402673 191.193091 \nL 229.326646 192.082638 \nL 231.431674 192.798623 \nL 233.729449 193.320957 \nL 236.232163 193.626228 \nL 238.952249 193.687317 \nL 241.902022 193.473057 \nL 245.093236 192.947942 \nL 248.536474 192.07194 \nL 252.240383 190.800519 \nL 256.210718 189.084946 \nL 260.449154 186.873012 \nL 264.951868 184.11034 \nL 269.707842 180.742432 \nL 274.696953 176.717682 \nL 279.887883 171.991509 \nL 285.235959 166.531699 \nL 290.681092 160.32493 \nL 296.146098 153.384226 \nL 301.535724 145.756788 \nL 306.736805 137.53121 \nL 311.620024 128.842788 \nL 316.043559 119.875294 \nL 319.859001 110.857585 \nL 322.919339 102.05397 \nL 325.088674 93.747949 \nL 326.252712 86.220597 \nL 326.328849 79.726116 \nL 325.274363 74.468313 \nL 323.091484 70.582046 \nL 319.828375 68.123118 \nL 315.575871 67.067991 \nL 310.460362 67.323046 \nL 304.634 68.740874 \nL 298.263602 71.140248 \nL 291.519646 74.326088 \nL 284.566614 78.10672 \nL 277.555399 82.306582 \nL 270.618091 86.774148 \nL 263.865098 91.385318 \nL 257.384261 96.043392 \nL 251.241577 100.676721 \nL 245.482945 105.235035 \nL 240.136602 109.685398 \nL 235.215827 114.008204 \nL 230.721697 118.193675 \nL 226.645673 122.238892 \nL 222.971955 126.145501 \nL 219.67952 129.917923 \nL 216.743847 133.562138 \nL 214.138332 137.084767 \nL 211.835416 140.492536 \nL 209.807468 143.791896 \nL 208.027449 146.988864 \nL 206.469393 150.088904 \nL 205.108742 153.096944 \nL 202.889621 158.854151 \nL 201.207528 164.29028 \nL 199.927677 169.429329 \nL 198.940906 174.291095 \nL 197.824895 181.100118 \nL 194.7486 201.75794 \nL 193.656362 206.361493 \nL 192.765083 209.206014 \nL 191.701368 211.872351 \nL 190.4225 214.357401 \nL 188.877503 216.652441 \nL 187.004871 218.74067 \nL 185.922973 219.698899 \nL 184.730026 220.593535 \nL 183.414202 221.418279 \nL 181.962495 222.16529 \nL 180.360625 222.824855 \nL 178.592956 223.384999 \nL 176.642416 223.831021 \nL 174.490442 224.144932 \nL 172.116957 224.304813 \nL 169.500396 224.284049 \nL 166.617795 224.050467 \nL 163.444993 223.565361 \nL 159.956943 222.782433 \nL 156.128238 221.646706 \nL 151.933878 220.093457 \nL 147.350333 218.047329 \nL 142.35707 215.421829 \nL 136.938536 212.119489 \nL 131.086811 208.033109 \nL 124.804946 203.048671 \nL 118.111056 197.05056 \nL 111.043185 189.929846 \nL 103.664691 181.596312 \nL 96.069858 171.99461 \nL 88.388998 161.124227 \nL 80.792034 149.061793 \nL 73.489278 135.982668 \nL 66.7278 122.176917 \nL 60.781978 108.05341 \nL 55.937519 94.125806 \nL 52.469264 80.976496 \nL 50.614847 69.199507 \nL 50.548065 59.330459 \nL 52.356588 51.777214 \nL 56.028818 46.767597 \nL 61.452892 44.326906 \nL 68.428203 44.290068 \nL 76.687077 46.342874 \nL 85.922135 50.080161 \nL 95.814377 55.065991 \nL 106.057711 60.884196 \nL 116.377327 67.172631 \nL 126.541026 73.640454 \nL 145.70901 86.316778 \nL 162.625677 97.928119 \nL 176.951 108.190583 \nL 183.149539 112.830247 \nL 188.742705 117.170716 \nL 193.771063 121.23751 \nL 198.280904 125.055937 \nL 202.321549 128.649487 \nL 205.943319 132.038962 \nL 212.127993 138.273689 \nL 217.21099 143.866434 \nL 228.961767 157.25902 \nL 230.736216 159.002815 \nL 232.52392 160.59785 \nL 234.34472 162.03736 \nL 236.216634 163.313106 \nL 238.15599 164.415358 \nL 240.177505 165.332825 \nL 242.294313 166.052656 \nL 244.517973 166.560394 \nL 246.858372 166.840022 \nL 249.323607 166.874028 \nL 251.919775 166.643544 \nL 254.6507 166.12862 \nL 257.517565 165.308607 \nL 260.518503 164.162685 \nL 263.648092 162.670664 \nL 266.896795 160.813924 \nL 270.250382 158.576696 \nL 273.689297 155.947565 \nL 277.18812 152.92124 \nL 280.715081 149.500553 \nL 284.231727 145.698526 \nL 287.692897 141.54043 \nL 291.046955 137.065582 \nL 294.236514 132.328645 \nL 297.199648 127.40014 \nL 299.871632 122.365817 \nL 302.187246 117.324777 \nL 304.083538 112.386081 \nL 305.502935 107.664043 \nL 306.396451 103.27242 \nL 306.726751 99.317969 \nL 306.470749 95.894144 \nL 305.621459 93.075424 \nL 304.188934 90.91327 \nL 302.200041 89.433879 \nL 299.697233 88.638132 \nL 296.736345 88.503543 \nL 293.383645 88.987876 \nL 289.712456 90.033818 \nL 285.799704 91.574179 \nL 281.722566 93.536775 \nL 277.555561 95.848904 \nL 273.368164 98.440871 \nL 269.223057 101.248453 \nL 265.174987 104.214507 \nL 261.270219 107.28965 \nL 257.546454 110.432308 \nL 254.033163 113.608264 \nL 250.752187 116.789951 \nL 247.718538 119.955544 \nL 244.941276 123.088021 \nL 242.424465 126.174273 \nL 240.168073 129.204292 \nL 238.168846 132.170441 \nL 236.421097 135.066875 \nL 234.917417 137.889011 \nL 233.649281 140.633163 \nL 232.607569 143.296176 \nL 231.783007 145.875207 \nL 231.166517 148.3675 \nL 230.749493 150.770213 \nL 230.524028 153.080295 \nL 230.483066 155.294349 \nL 230.620525 157.408527 \nL 230.931361 159.418409 \nL 231.411621 161.318925 \nL 232.058431 163.104208 \nL 232.869999 164.767504 \nL 233.845557 166.301043 \nL 234.985306 167.695906 \nL 236.290315 168.941885 \nL 237.762413 170.027345 \nL 239.404046 170.939109 \nL 241.218093 171.662308 \nL 243.207653 172.180275 \nL 245.375788 172.474456 \nL 247.7252 172.524403 \nL 250.25786 172.307812 \nL 252.974566 171.800677 \nL 255.874407 170.977574 \nL 258.95417 169.812142 \nL 262.207632 168.277799 \nL 265.624808 166.348751 \nL 269.191089 164.001304 \nL 272.88638 161.215586 \nL 276.684211 157.977627 \nL 280.550939 154.2818 \nL 284.445056 150.13356 \nL 288.316803 145.552311 \nL 292.108135 140.574126 \nL 295.753164 135.254043 \nL 299.179317 129.66746 \nL 302.309121 123.910273 \nL 305.062871 118.097254 \nL 307.361923 112.358448 \nL 309.132623 106.833524 \nL 310.310505 101.664344 \nL 310.844503 96.986377 \nL 310.700592 92.91988 \nL 309.864617 89.561847 \nL 308.34381 86.979927 \nL 306.16687 85.20891 \nL 303.382519 84.250347 \nL 300.056743 84.075111 \nL 296.268942 84.628318 \nL 292.107525 85.835889 \nL 287.665297 87.611614 \nL 283.035119 89.864056 \nL 278.306102 92.502372 \nL 273.560604 95.440926 \nL 268.872063 98.602405 \nL 264.303701 101.919505 \nL 259.907965 105.335542 \nL 255.726603 108.804186 \nL 251.791234 112.28855 \nL 248.12423 115.760065 \nL 244.739823 119.197114 \nL 241.645284 122.583747 \nL 238.842139 125.908501 \nL 236.327305 129.16332 \nL 234.094169 132.342701 \nL 232.133537 135.442952 \nL 230.434459 138.461651 \nL 228.984946 141.397182 \nL 227.772554 144.248434 \nL 226.784869 147.014517 \nL 226.009889 149.69459 \nL 225.436328 152.287696 \nL 225.053834 154.792677 \nL 224.853164 157.20805 \nL 224.826289 159.531939 \nL 224.96647 161.762 \nL 225.268303 163.895315 \nL 225.72772 165.928334 \nL 226.341987 167.856751 \nL 227.109676 169.675419 \nL 228.030619 171.378213 \nL 229.105853 172.9579 \nL 230.33755 174.405983 \nL 231.728926 175.712549 \nL 233.284142 176.866068 \nL 235.008171 177.853193 \nL 236.906644 178.658595 \nL 238.985648 179.264735 \nL 241.2515 179.651691 \nL 243.710448 179.796997 \nL 246.368294 179.675545 \nL 249.229973 179.259587 \nL 252.298987 178.518839 \nL 255.576758 177.420797 \nL 259.061863 175.931283 \nL 262.749125 174.015314 \nL 266.628584 171.638397 \nL 270.684353 168.768324 \nL 274.893404 165.37749 \nL 279.224347 161.44584 \nL 283.636233 156.96439 \nL 288.077607 151.939186 \nL 292.485907 146.395479 \nL 296.787387 140.381744 \nL 300.897851 133.972938 \nL 304.724298 127.272373 \nL 308.16772 120.411402 \nL 311.12699 113.546356 \nL 313.503854 106.852259 \nL 315.208625 100.513523 \nL 316.166199 94.712081 \nL 316.32171 89.614435 \nL 315.645175 85.359057 \nL 314.13452 82.046168 \nL 311.816499 79.731168 \nL 308.745358 78.422822 \nL 304.99944 78.086243 \nL 300.676062 78.649746 \nL 295.885395 80.014412 \nL 290.744019 82.064673 \nL 285.368767 84.678533 \nL 279.871419 87.736137 \nL 274.354566 91.126358 \nL 268.908684 94.750929 \nL 263.610507 98.526489 \nL 258.522456 102.384989 \nL 253.692923 106.272825 \nL 249.157212 110.149226 \nL 244.938884 113.984302 \nL 241.051328 117.756992 \nL 237.499416 121.453173 \nL 234.281119 125.063955 \nL 231.389013 128.584297 \nL 228.811653 132.011845 \nL 226.534753 135.346062 \nL 224.542201 138.587562 \nL 222.816908 141.737645 \nL 221.34148 144.797938 \nL 220.098774 147.770154 \nL 219.072311 150.655967 \nL 218.246596 153.45686 \nL 217.60734 156.174106 \nL 217.141623 158.808691 \nL 216.837987 161.361304 \nL 216.686495 163.832278 \nL 216.678751 166.221615 \nL 216.807899 168.528894 \nL 217.068596 170.753271 \nL 217.456986 172.893428 \nL 217.970659 174.947488 \nL 218.608603 176.912963 \nL 219.371164 178.786659 \nL 220.259999 180.564546 \nL 221.278039 182.241677 \nL 222.429436 183.812001 \nL 223.719526 185.268198 \nL 225.154771 186.601485 \nL 226.742707 187.801387 \nL 228.491871 188.855486 \nL 230.411712 189.749128 \nL 232.512467 190.465112 \nL 234.805006 190.983381 \nL 237.300619 191.280642 \nL 240.01074 191.330068 \nL 242.946579 191.100976 \nL 246.118642 190.55861 \nL 249.536131 189.664036 \nL 253.206173 188.374243 \nL 257.132855 186.642543 \nL 261.316067 184.419394 \nL 265.750116 181.653799 \nL 270.422096 178.295426 \nL 275.31009 174.29762 \nL 280.38121 169.621491 \nL 285.589636 164.24105 \nL 290.874785 158.14938 \nL 296.159918 151.365541 \nL 301.351442 143.941651 \nL 306.339373 135.969148 \nL 310.999274 127.583078 \nL 315.196001 118.962918 \nL 318.789491 110.328586 \nL 321.642381 101.930709 \nL 323.629062 94.035116 \nL 324.645349 86.902729 \nL 324.617546 80.767293 \nL 323.509691 75.814435 \nL 321.327854 72.165408 \nL 318.1207 69.868568 \nL 313.976211 68.899652 \nL 309.015017 69.170476 \nL 303.381291 70.543849 \nL 297.232584 72.851616 \nL 290.729727 75.912684 \nL 284.027971 79.548622 \nL 277.270008 83.595351 \nL 270.581096 87.910359 \nL 264.066372 92.376069 \nL 257.809947 96.899975 \nL 251.875484 101.412685 \nL 246.307759 105.864732 \nL 241.134863 110.222922 \nL 236.370681 114.466741 \nL 232.01744 118.585119 \nL 228.068129 122.5737 \nL 224.508702 126.432687 \nL 221.320018 130.165142 \nL 218.479466 133.775819 \nL 215.96234 137.270269 \nL 213.742918 140.65429 \nL 211.79533 143.933585 \nL 210.094206 147.113531 \nL 208.615158 150.199075 \nL 207.335116 153.194714 \nL 206.232551 156.104515 \nL 204.482125 161.680793 \nL 203.225616 166.952957 \nL 202.351435 171.941648 \nL 201.772262 176.664386 \nL 201.421804 181.136449 \nL 201.222611 187.404025 \nL 201.326371 193.178957 \nL 201.682559 198.496959 \nL 202.2828 203.388588 \nL 202.83037 206.425204 \nL 203.513629 209.288723 \nL 204.355353 211.982407 \nL 205.385736 214.506683 \nL 206.643455 216.858028 \nL 208.177153 219.027278 \nL 210.047332 220.997097 \nL 211.131314 221.898673 \nL 212.328673 222.738206 \nL 213.651401 223.509252 \nL 215.112732 224.203782 \nL 216.727229 224.811845 \nL 218.510878 225.321164 \nL 220.481162 225.716643 \nL 222.657118 225.979798 \nL 225.059366 226.08807 \nL 227.710079 226.014029 \nL 230.632889 225.724475 \nL 233.852687 225.179406 \nL 237.395289 224.330913 \nL 241.286888 223.122018 \nL 245.553265 221.485574 \nL 250.218645 219.343313 \nL 255.304134 216.605331 \nL 260.825591 213.170268 \nL 266.790859 208.926674 \nL 273.19623 203.756125 \nL 280.022123 197.538865 \nL 287.227967 190.162684 \nL 294.746525 181.535864 \nL 302.478046 171.604439 \nL 310.284971 160.373471 \nL 317.988356 147.930644 \nL 325.367403 134.468668 \nL 332.163784 120.301194 \nL 338.092159 105.86544 \nL 342.857683 91.704922 \nL 346.179928 78.428659 \nL 347.820642 66.648703 \nL 347.611445 56.905479 \nL 345.476005 49.596229 \nL 341.442125 44.923994 \nL 335.640735 42.879665 \nL 328.291874 43.260392 \nL 319.680665 45.717311 \nL 310.128191 49.818388 \nL 299.9625 55.110733 \nL 289.494051 61.170942 \nL 278.997905 67.637464 \nL 268.703383 74.22539 \nL 249.389917 87.003656 \nL 232.440849 98.593373 \nL 218.148889 108.767864 \nL 211.979698 113.350366 \nL 206.419454 117.628689 \nL 201.424823 121.630083 \nL 196.947364 125.380938 \nL 192.936127 128.905356 \nL 186.107121 135.355918 \nL 180.541458 141.111517 \nL 173.789968 148.6096 \nL 169.918064 152.900409 \nL 166.26304 156.624128 \nL 164.453434 158.265072 \nL 162.626588 159.751361 \nL 160.763215 161.075658 \nL 158.845928 162.229158 \nL 156.859138 163.201586 \nL 154.788996 163.981182 \nL 152.62337 164.554693 \nL 150.351885 164.907433 \nL 147.966028 165.023325 \nL 145.4593 164.885081 \nL 142.827458 164.474414 \nL 140.0688 163.77239 \nL 137.184548 162.759947 \nL 134.179271 161.418571 \nL 131.061367 159.731143 \nL 127.843598 157.683083 \nL 124.543616 155.263672 \nL 121.184458 152.46764 \nL 117.794991 149.296889 \nL 114.410201 145.762357 \nL 111.071256 141.885888 \nL 107.825319 137.701853 \nL 104.724952 133.258398 \nL 101.827112 128.618036 \nL 99.191651 123.857283 \nL 96.879315 119.065242 \nL 94.949355 114.340878 \nL 93.456767 109.789081 \nL 92.449403 105.515715 \nL 91.965138 101.621985 \nL 92.029406 98.198676 \nL 92.653296 95.320958 \nL 93.832464 93.044174 \nL 95.546955 91.401297 \nL 97.762038 90.402164 \nL 100.429906 90.034603 \nL 103.492107 90.267077 \nL 106.882452 91.052509 \nL 110.53019 92.332782 \nL 114.363047 94.04323 \nL 118.310069 96.116839 \nL 122.304017 98.487757 \nL 126.283186 101.094019 \nL 130.192717 103.879268 \nL 133.985342 106.793863 \nL 137.621675 109.795157 \nL 141.070067 112.847374 \nL 144.306199 115.921092 \nL 147.31244 118.992522 \nL 150.077081 122.042711 \nL 152.593501 125.056722 \nL 154.859321 128.022871 \nL 156.875578 130.932031 \nL 158.645964 133.777016 \nL 160.176141 136.552103 \nL 161.473121 139.252585 \nL 162.544741 141.874454 \nL 163.399217 144.414092 \nL 164.044769 146.868073 \nL 164.489331 149.232962 \nL 164.740314 151.505163 \nL 164.804424 153.680789 \nL 164.687532 155.755527 \nL 164.394591 157.724533 \nL 163.929588 159.582316 \nL 163.295522 161.322638 \nL 162.494419 162.938378 \nL 161.527372 164.421434 \nL 160.394607 165.76258 \nL 159.095577 166.951369 \nL 157.629079 167.975973 \nL 155.993404 168.823113 \nL 154.186536 169.477917 \nL 152.206355 169.923872 \nL 150.050934 170.142778 \nL 147.718844 170.114781 \nL 145.209545 169.818447 \nL 142.523839 169.231023 \nL 139.66438 168.328789 \nL 136.636287 167.087595 \nL 133.447793 165.48368 \nL 130.110975 163.494695 \nL 126.642533 161.101091 \nL 123.064579 158.287806 \nL 119.40538 155.046278 \nL 115.700011 151.376745 \nL 111.990851 147.290709 \nL 108.327756 142.813383 \nL 104.767893 137.985958 \nL 101.375034 132.867251 \nL 98.218297 127.534442 \nL 95.370165 122.082563 \nL 92.903921 116.62236 \nL 90.89043 111.276375 \nL 89.394572 106.173428 \nL 88.471438 101.441639 \nL 88.1628 97.200786 \nL 88.49406 93.554744 \nL 89.472116 90.584882 \nL 91.084384 88.345358 \nL 93.299133 86.860781 \nL 96.067101 86.126539 \nL 99.324223 86.111498 \nL 102.995168 86.762685 \nL 106.997324 88.011095 \nL 111.244874 89.777863 \nL 115.652572 91.980128 \nL 120.139018 94.536004 \nL 124.629221 97.368425 \nL 129.056425 100.407696 \nL 133.363197 103.592972 \nL 137.50185 106.872726 \nL 141.434348 110.204484 \nL 145.13179 113.554116 \nL 148.573601 116.894792 \nL 151.746546 120.205883 \nL 154.643674 123.471829 \nL 157.263232 126.681083 \nL 159.607645 129.825224 \nL 161.682546 132.898167 \nL 163.495921 135.895519 \nL 165.057365 138.814075 \nL 166.37742 141.651405 \nL 167.467049 144.405537 \nL 168.337186 147.074741 \nL 168.998386 149.657293 \nL 169.460542 152.151365 \nL 169.732678 154.554892 \nL 169.822795 156.865453 \nL 169.73776 159.080185 \nL 169.483243 161.195684 \nL 169.063679 163.207901 \nL 168.482268 165.112072 \nL 167.740985 166.90257 \nL 166.840615 168.572813 \nL 165.780816 170.115097 \nL 164.560188 171.520485 \nL 163.176367 172.778645 \nL 161.626139 173.877673 \nL 159.905591 174.803923 \nL 158.010279 175.541877 \nL 155.93544 176.073929 \nL 153.676253 176.380309 \nL 151.228169 176.438973 \nL 148.587283 176.225578 \nL 145.750799 175.713582 \nL 142.717601 174.87449 \nL 139.488892 173.678267 \nL 136.068962 172.094016 \nL 132.466061 170.091013 \nL 128.693352 167.640103 \nL 124.76996 164.715538 \nL 120.722017 161.29732 \nL 116.583709 157.374023 \nL 112.398175 152.946041 \nL 108.218139 148.029056 \nL 104.10617 142.657542 \nL 100.134331 136.88782 \nL 96.383133 130.800236 \nL 92.939549 124.499783 \nL 89.894154 118.114697 \nL 87.337245 111.792572 \nL 85.354258 105.693831 \nL 84.020694 99.98282 \nL 83.397016 94.817334 \nL 83.524105 90.337596 \nL 84.419753 86.656246 \nL 86.076686 83.850693 \nL 88.462458 81.958789 \nL 91.521161 80.978525 \nL 95.176863 80.871454 \nL 99.338263 81.569068 \nL 103.904083 82.981174 \nL 108.768617 85.00472 \nL 113.826893 87.532215 \nL 118.979063 90.458656 \nL 124.133861 93.686807 \nL 129.210903 97.130478 \nL 134.142032 100.716201 \nL 138.871729 104.383514 \nL 143.356812 108.084211 \nL 147.565611 111.781071 \nL 151.476793 115.446211 \nL 155.077991 119.059434 \nL 158.364376 122.606635 \nL 161.337246 126.07836 \nL 164.002707 129.468629 \nL 166.370461 132.77395 \nL 168.452763 135.992542 \nL 170.26352 139.123776 \nL 171.817528 142.167697 \nL 173.129854 145.124718 \nL 174.215339 147.995384 \nL 175.088217 150.780232 \nL 175.761811 153.479623 \nL 176.248323 156.093722 \nL 176.558678 158.622375 \nL 176.702425 161.065075 \nL 176.687673 163.420913 \nL 176.521074 165.68853 \nL 176.207807 167.866032 \nL 175.751601 169.950951 \nL 175.154759 171.940127 \nL 174.418201 173.829649 \nL 173.541498 175.614721 \nL 172.522934 177.289538 \nL 171.359555 178.847131 \nL 170.04724 180.279197 \nL 168.580768 181.575926 \nL 166.953915 182.725757 \nL 165.159558 183.715155 \nL 163.189805 184.528369 \nL 161.036177 185.147149 \nL 158.689803 185.550495 \nL 156.141721 185.714407 \nL 153.383196 185.611661 \nL 150.406185 185.211687 \nL 147.203872 184.480541 \nL 143.771359 183.381055 \nL 140.10649 181.87326 \nL 136.210856 179.915147 \nL 132.090961 177.463903 \nL 127.759555 174.477717 \nL 123.237131 170.918298 \nL 118.553495 166.754164 \nL 113.749349 161.964802 \nL 108.877706 156.545533 \nL 104.005013 150.512938 \nL 99.211653 143.910372 \nL 94.591602 136.812909 \nL 90.250931 129.330805 \nL 86.30491 121.610468 \nL 82.873568 113.831896 \nL 80.075779 106.201875 \nL 78.02217 98.942753 \nL 76.807407 92.277515 \nL 76.50273 86.412635 \nL 77.149608 81.521111 \nL 78.75545 77.728289 \nL 81.292039 75.102622 \nL 84.696993 73.653008 \nL 88.878038 73.332677 \nL 93.719544 74.048585 \nL 99.090404 75.67443 \nL 104.85231 78.064906 \nL 110.86755 81.069061 \nL 117.005561 84.541341 \nL 123.147972 88.349568 \nL 129.191885 92.379552 \nL 135.051618 96.537064 \nL 140.659055 100.747566 \nL 145.962949 104.954461 \nL 150.927523 109.116661 \nL 155.530618 113.205778 \nL 159.761651 117.203383 \nL 163.619534 121.098596 \nL 167.110705 124.885992 \nL 170.247343 128.563955 \nL 173.045774 132.133364 \nL 175.525128 135.596659 \nL 177.706218 138.957132 \nL 179.61062 142.218448 \nL 181.259956 145.384376 \nL 182.675338 148.458534 \nL 183.876947 151.444327 \nL 184.883738 154.344875 \nL 185.713237 157.162992 \nL 186.381416 159.901184 \nL 186.902629 162.56167 \nL 187.553397 167.657049 \nL 187.748041 172.461682 \nL 187.544651 176.98419 \nL 186.978911 181.229225 \nL 186.066113 185.196813 \nL 184.802842 188.881235 \nL 184.033896 190.613447 \nL 183.168143 192.269126 \nL 182.200326 193.844957 \nL 181.124132 195.336744 \nL 179.932198 196.739233 \nL 178.616096 198.045952 \nL 177.166322 199.248969 \nL 175.572291 200.338639 \nL 173.822336 201.303302 \nL 171.903729 202.128936 \nL 169.80272 202.798763 \nL 167.504603 203.29279 \nL 164.993848 203.587329 \nL 162.254279 203.654456 \nL 159.269358 203.461457 \nL 156.022562 202.970277 \nL 152.497936 202.13705 \nL 148.680806 200.911724 \nL 144.558735 199.237951 \nL 140.122754 197.053354 \nL 135.368923 194.290371 \nL 130.300235 190.877927 \nL 124.928912 186.744212 \nL 119.279055 181.820892 \nL 113.389595 176.049041 \nL 107.317318 169.386941 \nL 101.139783 161.819736 \nL 94.957644 153.370486 \nL 88.895836 144.111615 \nL 83.102978 134.175052 \nL 77.748306 123.758863 \nL 73.015538 113.12748 \nL 69.09344 102.603254 \nL 66.163429 92.547707 \nL 64.385148 83.333215 \nL 63.881751 75.308132 \nL 64.727007 68.760853 \nL 66.936436 63.889614 \nL 70.46412 60.784015 \nL 75.205949 59.421818 \nL 81.008649 59.680988 \nL 87.683212 61.363324 \nL 95.020392 64.224164 \nL 102.806087 68.002059 \nL 110.834793 72.443906 \nL 118.919878 77.322761 \nL 126.900365 82.448118 \nL 134.644291 87.669273 \nL 142.049331 92.873837 \nL 149.041272 97.983176 \nL 155.571199 102.946396 \nL 161.611936 107.734102 \nL 167.154262 112.33268 \nL 172.203243 116.739449 \nL 176.774865 120.958792 \nL 180.893086 124.999282 \nL 184.587359 128.871589 \nL 187.890583 132.587059 \nL 190.837488 136.156832 \nL 193.46337 139.591288 \nL 195.803149 142.899766 \nL 197.890685 146.090477 \nL 201.436544 152.145873 \nL 204.336888 157.801865 \nL 207.914857 165.600195 \nL 212.086814 174.792958 \nL 214.209029 178.876363 \nL 216.502056 182.60187 \nL 217.744219 184.322476 \nL 219.066641 185.942173 \nL 220.481705 187.45492 \nL 222.00194 188.8533 \nL 223.640116 190.128324 \nL 225.409314 191.269175 \nL 227.322969 192.26293 \nL 229.394878 193.094248 \nL 231.639166 193.745024 \nL 234.070205 194.194012 \nL 236.702453 194.416454 \nL 239.550227 194.383677 \nL 242.627366 194.062762 \nL 245.946748 193.416254 \nL 249.519687 192.402026 \nL 253.355115 190.973377 \nL 257.458555 189.07942 \nL 261.830873 186.666009 \nL 266.466728 183.677259 \nL 271.35281 180.057946 \nL 276.465814 175.756927 \nL 281.770249 170.731752 \nL 287.216237 164.954576 \nL 292.737508 158.419219 \nL 298.24983 151.149065 \nL 303.650348 143.205075 \nL 308.818193 134.69276 \nL 313.616904 125.766707 \nL 317.898928 116.63079 \nL 321.51242 107.532687 \nL 324.310144 98.751519 \nL 326.159851 90.579026 \nL 326.955106 83.295802 \nL 326.625147 77.145937 \nL 325.142328 72.314043 \nL 322.525893 68.908991 \nL 318.841421 66.956997 \nL 314.195909 66.405206 \nL 308.729269 67.134376 \nL 302.603598 68.977596 \nL 295.991604 71.741317 \nL 289.065741 75.225193 \nL 281.989012 79.238242 \nL 274.908094 83.609971 \nL 267.948987 88.196588 \nL 261.214914 92.882908 \nL 254.786152 97.581188 \nL 248.721244 102.228048 \nL 243.059153 106.780343 \nL 237.821919 111.210975 \nL 233.017469 115.504933 \nL 228.642402 119.655881 \nL 224.684549 123.663427 \nL 221.125245 127.530949 \nL 217.941286 131.264055 \nL 215.106552 134.869441 \nL 212.593321 138.35416 \nL 210.373313 141.725139 \nL 208.418484 144.988914 \nL 206.701625 148.151464 \nL 205.196771 151.218206 \nL 203.87949 154.193972 \nL 201.71848 159.88928 \nL 200.058036 165.266353 \nL 198.765266 170.348432 \nL 197.285309 177.459329 \nL 193.527436 197.276638 \nL 192.631339 200.595809 \nL 191.59289 203.712891 \nL 190.368925 206.627313 \nL 188.910575 209.333556 \nL 187.160896 211.819122 \nL 186.156187 212.972628 \nL 185.052346 214.061541 \nL 183.838837 215.080778 \nL 182.504123 216.023969 \nL 181.035576 216.883217 \nL 179.419399 217.648762 \nL 177.640546 218.308628 \nL 175.682661 218.848171 \nL 173.528042 219.249566 \nL 171.157638 219.491183 \nL 168.551088 219.546909 \nL 165.686839 219.385337 \nL 162.542354 218.968905 \nL 159.094467 218.252954 \nL 155.319904 217.184785 \nL 151.196039 215.702782 \nL 146.701971 213.735718 \nL 141.819961 211.202472 \nL 136.537362 208.012398 \nL 130.849087 204.06674 \nL 124.760728 199.261581 \nL 118.292312 193.492916 \nL 111.482679 186.664449 \nL 104.39431 178.698648 \nL 97.118211 169.551335 \nL 89.778281 159.229357 \nL 82.53423 147.810044 \nL 75.581883 135.45963 \nL 69.149574 122.446555 \nL 63.489525 109.144256 \nL 58.863447 96.018418 \nL 55.522916 83.595466 \nL 53.686199 72.413325 \nL 53.514712 62.960885 \nL 55.093231 55.617705 \nL 58.417754 50.607284 \nL 63.393704 47.975073 \nL 69.845111 47.595647 \nL 77.532837 49.205532 \nL 86.178267 52.451959 \nL 95.488283 56.94536 \nL 105.177705 62.305086 \nL 114.986701 68.192202 \nL 124.692172 74.327734 \nL 134.113318 80.498114 \nL 151.592365 92.389503 \nL 166.778957 103.222033 \nL 173.447247 108.186516 \nL 179.508167 112.857708 \nL 184.98723 117.252813 \nL 189.919672 121.39271 \nL 194.347057 125.299137 \nL 198.314616 128.992935 \nL 201.869172 132.493031 \nL 205.057604 135.815938 \nL 210.517568 141.983486 \nL 215.03646 147.57802 \nL 224.090874 159.303502 \nL 227.417575 163.094487 \nL 229.110307 164.784268 \nL 230.848115 166.328475 \nL 232.648301 167.718937 \nL 234.526879 168.945942 \nL 236.498662 169.998113 \nL 238.577304 170.862294 \nL 240.775292 171.523471 \nL 243.103896 171.964708 \nL 245.573024 172.16708 \nL 248.191037 172.109718 \nL 250.964459 171.769905 \nL 253.89761 171.12331 \nL 256.99214 170.144395 \nL 260.246468 168.806999 \nL 263.655132 167.085202 \nL 267.208053 164.954528 \nL 270.889727 162.393419 \nL 274.678407 159.385188 \nL 278.545282 155.920285 \nL 282.453796 151.998883 \nL 286.35913 147.633708 \nL 290.208012 142.852852 \nL 293.938963 137.702293 \nL 297.483111 132.247754 \nL 300.765693 126.575486 \nL 303.708337 120.791498 \nL 306.232033 115.018905 \nL 308.260825 109.393274 \nL 309.725895 104.055977 \nL 310.569809 99.146101 \nL 310.750463 94.791671 \nL 310.244341 91.101136 \nL 309.048644 88.156286 \nL 307.182107 86.007489 \nL 304.684245 84.671797 \nL 301.613194 84.134205 \nL 298.042358 84.351504 \nL 294.05621 85.25813 \nL 289.745782 86.773115 \nL 285.204129 88.807091 \nL 280.522307 91.268641 \nL 275.785936 94.069563 \nL 271.072691 97.128564 \nL 266.45057 100.373709 \nL 261.977021 103.743435 \nL 257.698727 107.186703 \nL 253.651967 110.662351 \nL 249.863344 114.138076 \nL 246.350814 117.589124 \nL 243.124825 120.997018 \nL 240.189523 124.348277 \nL 237.543927 127.633322 \nL 235.183038 130.845494 \nL 233.098836 133.980287 \nL 231.281177 137.034695 \nL 229.718555 140.006739 \nL 228.398738 142.895068 \nL 227.309307 145.69867 \nL 226.438085 148.416672 \nL 225.773465 151.048157 \nL 225.304679 153.592042 \nL 225.021989 156.046971 \nL 224.916821 158.411239 \nL 224.981858 160.682693 \nL 225.211094 162.858654 \nL 225.599855 164.935851 \nL 226.144806 166.910301 \nL 226.843928 168.777232 \nL 227.696478 170.53094 \nL 228.702945 172.164679 \nL 229.864982 173.670516 \nL 231.185323 175.039172 \nL 232.667695 176.259814 \nL 234.316694 177.319917 \nL 236.137634 178.205043 \nL 238.136386 178.898638 \nL 240.319139 179.381842 \nL 242.692152 179.633329 \nL 245.261408 179.629195 \nL 248.032203 179.34287 \nL 251.008656 178.745227 \nL 254.193095 177.804758 \nL 257.585348 176.48803 \nL 261.181889 174.760425 \nL 264.974868 172.587239 \nL 268.951031 169.93523 \nL 273.090509 166.774717 \nL 277.365618 163.082239 \nL 281.73964 158.843836 \nL 286.16577 154.058809 \nL 290.586336 148.743844 \nL 294.93249 142.937102 \nL 299.124589 136.701849 \nL 303.073401 130.128993 \nL 306.682427 123.337757 \nL 309.851293 116.473849 \nL 312.480279 109.704611 \nL 314.475736 103.210972 \nL 315.755996 97.176636 \nL 316.257222 91.775479 \nL 315.938546 87.158684 \nL 314.785823 83.443328 \nL 312.813475 80.704179 \nL 310.064118 78.969867 \nL 306.606022 78.223761 \nL 302.528706 78.409273 \nL 297.937166 79.438451 \nL 292.945558 81.202196 \nL 287.670845 83.58073 \nL 282.227135 86.452918 \nL 276.721018 89.703746 \nL 271.248139 93.229456 \nL 265.891034 96.94043 \nL 260.718122 100.762282 \nL 255.783641 104.635469 \nL 251.128336 108.513976 \nL 246.780632 112.36349 \nL 242.758137 116.159355 \nL 239.069248 119.884633 \nL 235.714791 123.528312 \nL 232.689591 127.08377 \nL 229.983878 130.547553 \nL 227.584557 133.91836 \nL 225.476292 137.196334 \nL 223.64242 140.382461 \nL 222.065702 143.478205 \nL 220.728921 146.485231 \nL 219.615353 149.405184 \nL 218.709122 152.239615 \nL 217.995475 154.989844 \nL 217.460954 157.656942 \nL 217.093529 160.241694 \nL 216.882665 162.744551 \nL 216.819362 165.165617 \nL 216.896157 167.504605 \nL 217.107115 169.760807 \nL 217.447797 171.933056 \nL 217.915226 174.019658 \nL 218.507844 176.018327 \nL 219.225471 177.926095 \nL 220.069255 179.739222 \nL 221.041633 181.453059 \nL 222.146284 183.061915 \nL 223.388086 184.558897 \nL 224.773062 185.935724 \nL 226.308331 187.182497 \nL 228.002036 188.287457 \nL 229.863257 189.23672 \nL 231.901911 190.013967 \nL 234.128593 190.600123 \nL 236.554389 190.973032 \nL 239.190627 191.107105 \nL 242.048524 190.973023 \nL 245.138764 190.537474 \nL 248.470925 189.763021 \nL 252.052767 188.608128 \nL 255.88935 187.027461 \nL 259.981934 184.972559 \nL 264.326668 182.393035 \nL 268.91306 179.238431 \nL 273.722224 175.460957 \nL 278.725 171.019158 \nL 283.879969 165.882702 \nL 289.131588 160.038194 \nL 294.408652 153.495861 \nL 299.623334 146.296542 \nL 304.671263 138.518287 \nL 309.432948 130.28135 \nL 313.776889 121.750262 \nL 317.564691 113.13147 \nL 320.658054 104.66559 \nL 322.927408 96.613784 \nL 324.261363 89.239085 \nL 324.576053 82.784772 \nL 323.823015 77.452757 \nL 321.994514 73.385648 \nL 319.125339 70.655589 \nL 315.290765 69.261683 \nL 310.600955 69.136011 \nL 305.192612 70.156692 \nL 299.219093 72.165006 \nL 292.840243 74.983668 \nL 286.213136 78.433175 \nL 279.484432 82.344817 \nL 272.784888 86.569327 \nL 266.225954 90.981378 \nL 259.898334 95.48075 \nL 253.872097 99.990915 \nL 248.197943 104.45631 \nL 242.909211 108.838727 \nL 238.024275 113.113749 \nL 233.549071 117.267367 \nL 229.479548 121.293112 \nL 225.803946 125.189732 \nL 222.504806 128.959369 \nL 219.5607 132.606187 \nL 216.947678 136.135427 \nL 214.640437 139.552775 \nL 212.613254 142.863904 \nL 210.840701 146.074239 \nL 209.298179 149.188823 \nL 207.962302 152.212259 \nL 206.811153 155.148708 \nL 205.824442 158.001912 \nL 204.271724 163.471721 \nL 203.175966 168.64493 \nL 202.435008 173.540836 \nL 201.969972 178.175974 \nL 201.721988 182.564855 \nL 201.648927 186.720468 \nL 201.808608 192.541936 \nL 202.251722 197.899718 \nL 202.701196 201.228578 \nL 203.282882 204.371264 \nL 204.012669 207.332864 \nL 204.913897 210.116094 \nL 206.017971 212.720476 \nL 207.365402 215.141044 \nL 209.007284 217.366451 \nL 209.957964 218.399992 \nL 211.007197 219.376084 \nL 212.165263 220.290011 \nL 213.44353 221.135854 \nL 214.854548 221.906213 \nL 216.412134 222.591924 \nL 218.131455 223.181668 \nL 220.02911 223.661536 \nL 222.123183 224.014497 \nL 224.43328 224.219776 \nL 226.980514 224.252124 \nL 229.787438 224.080986 \nL 232.877864 223.669547 \nL 236.276604 222.973708 \nL 240.008979 221.94099 \nL 244.100156 220.509458 \nL 248.574152 218.606779 \nL 253.452454 216.149574 \nL 258.752159 213.043372 \nL 264.483526 209.183523 \nL 270.646838 204.457576 \nL 277.228507 198.749814 \nL 284.196424 191.948608 \nL 291.49469 183.95737 \nL 299.038033 174.70956 \nL 306.706472 164.187649 \nL 314.34122 152.445029 \nL 321.743002 139.628126 \nL 328.674323 125.994454 \nL 334.867207 111.920626 \nL 340.03737 97.893769 \nL 343.904807 84.481692 \nL 346.219281 72.281166 \nL 346.787265 61.850318 \nL 345.495917 53.637619 \nL 342.329037 47.923518 \nL 337.371577 44.789022 \nL 330.80145 44.118372 \nL 322.870257 45.633358 \nL 313.877022 48.948122 \nL 304.139884 53.630175 \nL 293.970304 59.254256 \nL 283.652844 65.4414 \nL 273.431945 71.880652 \nL 263.505368 78.335711 \nL 245.091048 90.68935 \nL 229.108013 101.816845 \nL 215.729362 111.595893 \nL 209.976168 116.01623 \nL 204.799312 120.156098 \nL 200.153828 124.041006 \nL 195.991045 127.695019 \nL 192.260787 131.139704 \nL 185.898952 137.472383 \nL 180.68793 143.151655 \nL 168.786327 156.784542 \nL 165.232195 160.209717 \nL 163.423588 161.695461 \nL 161.568654 163.020035 \nL 159.650594 164.174129 \nL 157.654242 165.146901 \nL 155.56601 165.925932 \nL 153.373874 166.497214 \nL 151.067448 166.84516 \nL 148.638085 166.952642 \nL 146.07907 166.801126 \nL 143.385876 166.370911 \nL 140.556494 165.641435 \nL 137.591835 164.591819 \nL 134.496223 163.20151 \nL 131.277921 161.451256 \nL 127.949726 159.324228 \nL 124.529585 156.807497 \nL 121.041156 153.893725 \nL 117.514359 150.583084 \nL 113.985707 146.885353 \nL 110.498482 142.822013 \nL 107.102573 138.428123 \nL 103.853878 133.753831 \nL 100.81329 128.86514 \nL 98.045069 123.843639 \nL 95.614722 118.785022 \nL 93.586321 113.79613 \nL 92.019507 108.990588 \nL 90.966234 104.483255 \nL 90.467644 100.383909 \nL 90.551297 96.790742 \nL 91.229052 93.784482 \nL 92.495858 91.423745 \nL 94.329598 89.742231 \nL 96.692073 88.748054 \nL 99.530947 88.425139 \nL 102.782498 88.73638 \nL 106.374914 89.628137 \nL 110.231784 91.035344 \nL 114.275506 92.886563 \nL 118.430358 95.108654 \nL 122.625052 97.630542 \nL 126.794668 100.386091 \nL 130.881982 103.31587 \nL 134.838175 106.368126 \nL 138.623032 109.498996 \nL 142.204724 112.672167 \nL 145.559262 115.858218 \nL 148.66976 119.033743 \nL 151.525542 122.180439 \nL 154.121218 125.284172 \nL 156.455764 128.334141 \nL 158.53162 131.322106 \nL 160.353883 134.241782 \nL 161.929575 137.088288 \nL 163.266991 139.857739 \nL 164.375166 142.546883 \nL 165.263402 145.15283 \nL 165.940898 147.672843 \nL 166.416454 150.104137 \nL 166.698225 152.443757 \nL 166.793548 154.688448 \nL 166.70882 156.834508 \nL 166.449404 158.877737 \nL 166.019589 160.813273 \nL 165.422569 162.635519 \nL 164.660451 164.338017 \nL 163.7343 165.913331 \nL 162.644187 167.352917 \nL 161.389277 168.646977 \nL 159.967936 169.784336 \nL 158.377867 170.752305 \nL 156.616274 171.536541 \nL 154.68007 172.120922 \nL 152.566113 172.487478 \nL 150.271515 172.616317 \nL 147.793988 172.48567 \nL 145.132282 172.07198 \nL 142.286668 171.350168 \nL 139.259534 170.294026 \nL 136.056037 168.876868 \nL 132.684872 167.072429 \nL 129.159071 164.856088 \nL 125.496911 162.206452 \nL 121.722759 159.10734 \nL 117.867947 155.550122 \nL 113.971504 151.536394 \nL 110.080633 147.080817 \nL 106.250907 142.213932 \nL 102.545961 136.984672 \nL 99.036596 131.462073 \nL 95.799174 125.735868 \nL 92.913243 119.915472 \nL 90.458403 114.126996 \nL 88.510556 108.508215 \nL 87.137712 103.201633 \nL 86.395753 98.346125 \nL 86.324529 94.068013 \nL 86.944726 90.472683 \nL 88.255897 87.637678 \nL 90.235907 85.608372 \nL 92.841938 84.396514 \nL 96.012845 83.981991 \nL 99.672744 84.317096 \nL 103.735289 85.332687 \nL 108.108302 86.945251 \nL 112.698264 89.063984 \nL 117.414299 91.59699 \nL 122.171477 94.456375 \nL 126.893231 97.561764 \nL 131.512936 100.842465 \nL 135.974686 104.238389 \nL 140.233385 107.699972 \nL 144.254318 111.187485 \nL 148.012349 114.669888 \nL 151.490849 118.123548 \nL 154.68055 121.530925 \nL 157.578309 124.879314 \nL 160.185943 128.159718 \nL 162.509133 131.365977 \nL 164.556424 134.493929 \nL 166.338357 137.540845 \nL 167.866724 140.504947 \nL 169.153937 143.385019 \nL 170.212514 146.180152 \nL 171.054669 148.889543 \nL 171.69198 151.512301 \nL 172.135151 154.047384 \nL 172.393819 156.493442 \nL 172.476432 158.848754 \nL 172.390164 161.111166 \nL 172.140866 163.277971 \nL 171.73304 165.345867 \nL 171.169854 167.310835 \nL 170.453156 169.168035 \nL 169.583512 170.911705 \nL 168.560262 172.535033 \nL 167.381587 174.029973 \nL 166.044582 175.387137 \nL 164.545364 176.59557 \nL 162.879186 177.642574 \nL 161.040581 178.513538 \nL 159.023548 179.191689 \nL 156.821769 179.657939 \nL 154.428888 179.89069 \nL 151.838837 179.865726 \nL 149.046267 179.55616 \nL 146.047045 178.932491 \nL 142.838871 177.962857 \nL 139.422012 176.613472 \nL 135.800161 174.849373 \nL 131.981425 172.635578 \nL 127.979424 169.938655 \nL 123.814509 166.728904 \nL 119.514997 162.983053 \nL 115.11837 158.687613 \nL 110.672352 153.842716 \nL 106.235664 148.466284 \nL 101.878317 142.59818 \nL 97.681175 136.303812 \nL 93.734657 129.676636 \nL 90.136376 122.838678 \nL 86.98757 115.938525 \nL 84.388493 109.146151 \nL 82.432902 102.644608 \nL 81.202025 96.618893 \nL 80.758708 91.243131 \nL 81.142279 86.667575 \nL 82.364891 83.007238 \nL 84.409813 80.333901 \nL 87.231972 78.672596 \nL 90.760705 78.002903 \nL 94.904324 78.264656 \nL 99.556033 79.366765 \nL 104.600351 81.197718 \nL 109.919485 83.63615 \nL 115.398978 86.560122 \nL 120.93232 89.85443 \nL 126.424307 93.415619 \nL 131.793084 97.154801 \nL 136.971109 100.99845 \nL 141.905098 104.887998 \nL 146.55529 108.77838 \nL 150.894209 112.636152 \nL 154.905146 116.437432 \nL 158.580507 120.165944 \nL 161.920172 123.811211 \nL 164.929935 127.367052 \nL 167.620075 130.830347 \nL 170.004106 134.200073 \nL 172.097697 137.476564 \nL 173.917771 140.660979 \nL 175.481769 143.754895 \nL 176.80705 146.760064 \nL 177.910438 149.678228 \nL 178.807874 152.510975 \nL 179.514147 155.259701 \nL 180.042732 157.925527 \nL 180.405659 160.509275 \nL 180.613449 163.011452 \nL 180.675088 165.432202 \nL 180.598014 167.771315 \nL 180.388142 170.028139 \nL 180.049884 172.201574 \nL 179.586199 174.290004 \nL 178.998624 176.291227 \nL 178.287325 178.202383 \nL 177.451139 180.019835 \nL 176.487617 181.739068 \nL 175.393071 183.354536 \nL 174.162611 184.859508 \nL 172.790197 186.245875 \nL 171.268691 187.503943 \nL 169.589919 188.622184 \nL 167.744753 189.586957 \nL 165.723213 190.382212 \nL 163.51461 190.989169 \nL 161.10773 191.385971 \nL 158.491075 191.547343 \nL 155.653193 191.444267 \nL 152.583098 191.043714 \nL 149.270825 190.308478 \nL 145.708111 189.197164 \nL 141.889277 187.664444 \nL 137.812306 185.661661 \nL 133.480131 183.13796 \nL 128.90215 180.042063 \nL 124.095979 176.324889 \nL 119.089372 171.943141 \nL 113.922186 166.864 \nL 108.648352 161.070931 \nL 103.337474 154.570317 \nL 98.075931 147.398651 \nL 92.96697 139.629332 \nL 88.12949 131.378101 \nL 83.695112 122.805591 \nL 79.803273 114.115667 \nL 76.594346 105.548266 \nL 74.201091 97.366282 \nL 72.739038 89.837111 \nL 72.296949 83.210777 \nL 72.928526 77.697785 \nL 74.646645 73.450196 \nL 77.42108 70.549303 \nL 81.180119 69.002015 \nL 85.815869 68.746041 \nL 91.192529 69.662618 \nL 97.156303 71.593676 \nL 103.545776 74.36042 \nL 110.201476 77.780437 \nL 116.97378 81.68119 \nL 123.728782 85.909336 \nL 130.351896 90.335644 \nL 136.749516 94.85643 \nL 142.848998 99.392354 \nL 148.597483 103.885621 \nL 153.959891 108.296428 \nL 158.916522 112.599246 \nL 163.46048 116.779378 \nL 167.59518 120.829963 \nL 171.332017 124.749595 \nL 174.688304 128.540388 \nL 177.685496 132.206591 \nL 180.347706 135.7536 \nL 182.700501 139.187252 \nL 184.769933 142.513404 \nL 186.581809 145.737642 \nL 188.161133 148.865153 \nL 189.531714 151.900683 \nL 190.715897 154.848518 \nL 191.734399 157.712506 \nL 193.348643 163.202419 \nL 194.505892 168.394237 \nL 195.311447 173.30774 \nL 195.847248 177.959852 \nL 196.175269 182.365469 \nL 196.373227 188.540743 \nL 196.301451 194.231932 \nL 196.008152 199.474884 \nL 195.503379 204.300908 \nL 194.765946 208.736205 \nL 194.121448 211.485998 \nL 193.329363 214.074588 \nL 192.360389 216.503002 \nL 191.177261 218.768749 \nL 189.733262 220.864269 \nL 187.970328 222.77468 \nL 186.947451 223.653008 \nL 185.81673 224.474362 \nL 184.566616 225.233027 \nL 183.184344 225.921847 \nL 181.655838 226.531927 \nL 179.965613 227.05224 \nL 178.096681 227.469195 \nL 176.030474 227.766084 \nL 173.746803 227.922439 \nL 171.223837 227.913284 \nL 168.43815 227.708255 \nL 165.364858 227.270596 \nL 161.977872 226.556053 \nL 158.250325 225.511676 \nL 154.155207 224.074599 \nL 149.666342 222.170921 \nL 144.759725 219.714844 \nL 139.415378 216.60836 \nL 133.619821 212.741857 \nL 127.369289 207.996213 \nL 120.673772 202.247072 \nL 113.561887 195.37208 \nL 106.08653 187.261992 \nL 98.330989 177.836248 \nL 90.414942 167.063138 \nL 82.499343 154.983643 \nL 74.788963 141.736296 \nL 67.530766 127.578504 \nL 61.006533 112.897647 \nL 55.518393 98.204627 \nL 51.367055 84.103816 \nL 48.824333 71.238018 \nL 48.103442 60.214503 \nL 49.332204 51.525565 \nL 52.534647 45.4821 \nL 57.625298 42.176904 \nL 64.41762 41.486409 \nL 72.644819 43.108331 \nL 81.988633 46.622903 \nL 92.110375 51.560796 \nL 102.679144 57.462935 \nL 113.393735 63.923218 \nL 123.996758 70.611594 \nL 144.09191 83.758396 \nL 161.900288 95.766233 \nL 177.014362 106.300611 \nL 189.468633 115.431639 \nL 194.781199 119.53551 \nL 199.54593 123.369744 \nL 203.814332 126.960835 \nL 211.072664 133.503952 \nL 216.966466 139.311173 \nL 224.055423 146.836229 \nL 229.964083 153.050346 \nL 233.657867 156.460891 \nL 235.505098 157.93456 \nL 237.379899 159.245078 \nL 239.300147 160.384092 \nL 241.281764 161.341832 \nL 243.338769 162.107123 \nL 245.483327 162.66742 \nL 247.725712 163.00885 \nL 250.074217 163.116341 \nL 252.535019 162.973753 \nL 255.111978 162.564177 \nL 257.806348 161.870266 \nL 260.616464 160.87476 \nL 263.53734 159.561161 \nL 266.56024 157.914562 \nL 269.672223 155.922725 \nL 272.855673 153.577307 \nL 276.087888 150.875342 \nL 279.340715 147.82079 \nL 282.580365 144.426224 \nL 285.767395 140.714428 \nL 288.856983 136.71977 \nL 291.799537 132.489213 \nL 294.541704 128.082693 \nL 297.027779 123.572633 \nL 299.20158 119.042508 \nL 301.008648 114.58428 \nL 302.398761 110.294781 \nL 303.328516 106.271255 \nL 303.763821 102.606344 \nL 303.682112 99.383034 \nL 303.073978 96.670027 \nL 301.944121 94.518149 \nL 300.311444 92.958077 \nL 298.208321 91.999667 \nL 295.679061 91.632891 \nL 292.77774 91.830115 \nL 289.565584 92.549487 \nL 286.108163 93.738783 \nL 282.472619 95.339425 \nL 278.725098 97.290213 \nL 274.928576 99.530541 \nL 271.141149 102.002836 \nL 267.414793 104.65429 \nL 263.794631 107.437874 \nL 260.318619 110.31277 \nL 257.017605 113.24432 \nL 253.915643 116.203628 \nL 251.030562 119.167012 \nL 248.374619 122.115287 \nL 245.955257 125.033068 \nL 243.775855 127.908079 \nL 241.836496 130.730501 \nL 240.134658 133.492432 \nL 238.66587 136.187422 \nL 237.424276 138.810047 \nL 236.403149 141.355588 \nL 235.595307 143.819759 \nL 234.993473 146.198475 \nL 234.590566 148.48766 \nL 234.379926 150.683083 \nL 234.355486 152.78024 \nL 234.511908 154.7742 \nL 234.844661 156.659502 \nL 235.350071 158.430041 \nL 236.025333 160.078945 \nL 236.868498 161.598476 \nL 237.87842 162.979896 \nL 239.054692 164.213388 \nL 240.397524 165.287901 \nL 241.907634 166.191102 \nL 243.586059 166.909239 \nL 245.433956 167.42712 \nL 247.452364 167.728066 \nL 249.641897 167.793935 \nL 252.002403 167.605226 \nL 254.532566 167.141283 \nL 257.229421 166.380623 \nL 260.087846 165.301412 \nL 263.099956 163.882149 \nL 266.254461 162.102597 \nL 269.535982 159.944959 \nL 272.924375 157.395303 \nL 276.394021 154.445334 \nL 279.913278 151.094353 \nL 283.444029 147.351363 \nL 286.941437 143.237254 \nL 290.354103 138.786776 \nL 293.624566 134.050098 \nL 296.690313 129.093643 \nL 299.485409 123.9999 \nL 301.942624 118.865913 \nL 303.996135 113.800311 \nL 305.584619 108.918892 \nL 306.654535 104.338896 \nL 307.163366 100.172505 \nL 307.082471 96.520185 \nL 306.399274 93.464514 \nL 305.118509 91.065465 \nL 303.262384 89.357427 \nL 300.869617 88.348554 \nL 297.993398 88.022118 \nL 294.698581 88.339923 \nL 291.058286 89.246836 \nL 287.150309 90.676088 \nL 283.053633 92.554501 \nL 278.845274 94.807287 \nL 274.597674 97.361937 \nL 270.376723 100.151052 \nL 266.240401 103.114274 \nL 262.23809 106.199138 \nL 258.41037 109.361316 \nL 254.789272 112.564207 \nL 251.398825 115.778264 \nL 248.25585 118.980093 \nL 245.370855 122.151466 \nL 242.74899 125.278383 \nL 240.391001 128.350216 \nL 238.294134 131.358925 \nL 236.452963 134.298417 \nL 234.860148 137.164012 \nL 233.507062 139.952017 \nL 232.384373 142.65937 \nL 231.482488 145.283353 \nL 230.791942 147.821412 \nL 230.303697 150.270934 \nL 230.009381 152.629135 \nL 229.901466 154.892925 \nL 229.973393 157.058792 \nL 230.21966 159.122698 \nL 230.635866 161.079973 \nL 231.218731 162.925212 \nL 231.966089 164.652157 \nL 232.876848 166.253574 \nL 233.950941 167.721138 \nL 235.18924 169.045281 \nL 236.59345 170.215048 \nL 238.165987 171.21798 \nL 239.909814 172.039945 \nL 241.828248 172.66502 \nL 243.924717 173.075381 \nL 246.202469 173.251257 \nL 248.664239 173.170912 \nL 251.311821 172.810718 \nL 254.145587 172.145379 \nL 257.163907 171.148303 \nL 260.362496 169.792172 \nL 263.733656 168.049813 \nL 267.265448 165.895352 \nL 270.940818 163.305748 \nL 274.736648 160.262764 \nL 278.622899 156.755263 \nL 282.561803 152.781904 \nL 286.507271 148.354085 \nL 290.404617 143.498864 \nL 294.190743 138.261681 \nL 297.794889 132.708377 \nL 301.140138 126.926121 \nL 304.145651 121.022738 \nL 306.729753 115.124129 \nL 308.813686 109.369506 \nL 310.325854 103.904567 \nL 311.206209 98.873095 \nL 311.410436 94.407749 \nL 310.913327 90.621146 \nL 309.711115 87.598352 \nL 307.822314 85.391819 \nL 305.286994 84.019384 \nL 302.164567 83.465488 \nL 298.530284 83.685236 \nL 294.470919 84.61054 \nL 290.079995 86.15733 \nL 285.453135 88.233025 \nL 280.683821 90.743086 \nL 275.859868 93.596481 \nL 271.060815 96.709602 \nL 266.356151 100.008655 \nL 261.804444 103.430758 \nL 257.453133 106.923964 \nL 253.33892 110.446622 \nL 249.488562 113.966189 \nL 245.91993 117.45795 \nL 242.643216 120.903573 \nL 239.662175 124.289861 \nL 236.975342 127.607545 \nL 234.577181 130.850317 \nL 232.459106 134.014025 \nL 230.610395 137.096029 \nL 229.018969 140.094672 \nL 227.672049 143.008923 \nL 226.556693 145.838091 \nL 225.660232 148.581583 \nL 224.970605 151.238778 \nL 224.476623 153.808882 \nL 224.168164 156.290822 \nL 224.036301 158.683182 \nL 224.073403 160.984126 \nL 224.273177 163.19131 \nL 224.630696 165.301804 \nL 225.1424 167.312012 \nL 225.806079 169.21757 \nL 226.620831 171.013226 \nL 227.587023 172.69273 \nL 228.706225 174.248697 \nL 229.981139 175.672419 \nL 231.415509 176.953715 \nL 233.01402 178.08074 \nL 234.782157 179.039772 \nL 236.726059 179.815004 \nL 238.852307 180.388334 \nL 241.167697 180.739188 \nL 243.678923 180.844326 \nL 246.392205 180.677759 \nL 249.312825 180.210725 \nL 252.444574 179.411811 \nL 255.78905 178.247287 \nL 259.344871 176.681666 \nL 263.106712 174.678644 \nL 267.064247 172.202464 \nL 271.200927 169.219819 \nL 275.492736 165.702309 \nL 279.906876 161.629573 \nL 284.400553 156.993038 \nL 288.919992 151.80008 \nL 293.399824 146.078468 \nL 297.763068 139.880512 \nL 301.921971 133.286443 \nL 305.779817 126.406173 \nL 309.233967 119.378732 \nL 312.180068 112.368695 \nL 314.517359 105.559203 \nL 316.154722 99.141757 \nL 317.016954 93.303516 \nL 317.050613 88.213562 \nL 316.228695 84.009912 \nL 314.553484 80.789166 \nL 312.057167 78.600431 \nL 308.800086 77.444222 \nL 304.866827 77.276392 \nL 300.360623 78.016011 \nL 295.396859 79.555836 \nL 290.096296 81.773468 \nL 284.578783 84.541896 \nL 278.957958 87.738108 \nL 273.337124 91.249485 \nL 267.806548 94.977586 \nL 262.441996 98.839912 \nL 257.304362 102.769907 \nL 252.440157 106.715804 \nL 247.882614 110.638804 \nL 243.653162 114.510919 \nL 239.763113 118.312859 \nL 236.21537 122.032052 \nL 233.006101 125.660957 \nL 230.12627 129.195642 \nL 227.563015 132.634691 \nL 225.300823 135.978314 \nL 223.322542 139.227746 \nL 221.610204 142.384785 \nL 220.145692 145.451479 \nL 218.911263 148.429895 \nL 217.889945 151.322004 \nL 217.065842 154.129577 \nL 216.424335 156.854133 \nL 215.952231 159.496928 \nL 215.63784 162.058888 \nL 215.471027 164.540637 \nL 215.443214 166.942442 \nL 215.547375 169.264207 \nL 215.778005 171.505444 \nL 216.131081 173.665225 \nL 216.604021 175.742106 \nL 217.195637 177.734105 \nL 217.906089 179.638601 \nL 218.736848 181.452216 \nL 219.690645 183.170731 \nL 220.771443 184.788936 \nL 221.984394 186.300472 \nL 223.335796 187.697641 \nL 224.83306 188.971197 \nL 226.48465 190.110101 \nL 228.300012 191.101239 \nL 230.289501 191.929122 \nL 232.464243 192.575545 \nL 234.835985 193.019237 \nL 237.416874 193.235473 \nL 240.219148 193.195735 \nL 243.254762 192.867372 \nL 246.534868 192.213361 \nL 250.069161 191.192211 \nL 253.86504 189.758079 \nL 257.926572 187.861247 \nL 262.25322 185.449051 \nL 266.838334 182.467468 \nL 271.667379 178.863503 \nL 276.715991 174.588605 \nL 281.947853 169.603235 \nL 287.312588 163.882589 \nL 292.743861 157.423473 \nL 298.157962 150.251835 \nL 303.453287 142.430359 \nL 308.511051 134.064939 \nL 313.19777 125.308677 \nL 317.369745 116.361755 \nL 320.879721 107.465718 \nL 323.585527 98.891352 \nL 325.360041 90.920427 \nL 326.101528 83.822964 \nL 325.742994 77.83314 \nL 324.259191 73.127664 \nL 321.67007 69.810431 \nL 318.040155 67.906203 \nL 313.473766 67.364152 \nL 308.106851 68.06988 \nL 302.096711 69.863191 \nL 295.610945 72.558095 \nL 288.817004 75.961655 \nL 281.873384 79.889372 \nL 274.92298 84.176019 \nL 268.088847 88.681611 \nL 261.472111 93.293469 \nL 255.151738 97.925211 \nL 249.185642 102.513933 \nL 243.612711 107.016338 \nL 238.45533 111.404793 \nL 233.722083 115.66352 \nL 229.410423 119.785332 \nL 225.509164 123.768976 \nL 222.000689 127.617027 \nL 218.862846 131.334363 \nL 216.070552 134.927062 \nL 213.597086 138.401648 \nL 211.415113 141.764618 \nL 209.49748 145.022145 \nL 207.81781 148.17993 \nL 206.350918 151.243161 \nL 205.073103 154.216496 \nL 202.998266 159.909661 \nL 201.437934 165.28771 \nL 200.264192 170.373606 \nL 199.374184 175.186478 \nL 198.39816 181.929345 \nL 197.267011 192.011281 \nL 196.261277 200.804955 \nL 195.550109 205.525827 \nL 194.663907 209.861756 \nL 193.934006 212.547623 \nL 193.058291 215.073223 \nL 192.00106 217.438477 \nL 190.719294 219.639273 \nL 189.160679 221.665733 \nL 187.261302 223.499573 \nL 186.160044 224.335317 \nL 184.943017 225.110162 \nL 183.597738 225.817384 \nL 182.110449 226.448603 \nL 180.466013 226.993425 \nL 178.647824 227.439021 \nL 176.637721 227.769603 \nL 174.41593 227.96581 \nL 171.961035 228.003993 \nL 169.250011 227.855364 \nL 166.258326 227.485031 \nL 162.960154 226.850914 \nL 159.328746 225.90256 \nL 155.337018 224.579931 \nL 150.958404 222.812232 \nL 146.168091 220.51695 \nL 140.944722 217.59935 \nL 135.272687 213.952787 \nL 129.145121 209.460313 \nL 122.567722 203.998278 \nL 115.563388 197.442655 \nL 108.177695 189.679025 \nL 100.484934 180.616866 \nL 92.594217 170.208542 \nL 84.654817 158.472333 \nL 76.859523 145.517444 \nL 69.444344 131.566933 \nL 62.682875 116.97243 \nL 56.873855 102.213236 \nL 52.321302 87.873176 \nL 49.308305 74.592128 \nL 48.067472 62.996059 \nL 48.752653 53.617219 \nL 51.417699 46.822098 \nL 56.006986 42.765189 \nL 62.359944 41.379817 \nL 70.22891 42.406947 \nL 79.306286 45.451615 \nL 89.255582 50.050862 \nL 99.740885 55.737043 \nL 110.450759 62.085835 \nL 121.114568 68.744663 \nL 141.470797 81.99004 \nL 159.640496 94.191847 \nL 175.138336 104.931602 \nL 187.951098 114.243663 \nL 193.425208 118.425728 \nL 198.33752 122.330175 \nL 202.738891 125.984245 \nL 206.681953 129.412309 \nL 213.402281 135.670958 \nL 218.898726 141.233007 \nL 231.375637 154.319232 \nL 233.218019 155.987991 \nL 235.062142 157.50202 \nL 236.928549 158.854773 \nL 238.835656 160.03828 \nL 240.799894 161.043164 \nL 242.835778 161.858631 \nL 244.955954 162.472502 \nL 247.171183 162.871285 \nL 249.490278 163.040224 \nL 251.919967 162.963486 \nL 254.464714 162.624372 \nL 257.126465 162.005669 \nL 259.904321 161.090106 \nL 262.794181 159.860987 \nL 265.788306 158.302982 \nL 268.874878 156.403136 \nL 272.03752 154.152062 \nL 275.254899 151.545341 \nL 278.500316 148.585066 \nL 281.741487 145.281506 \nL 284.940473 141.654687 \nL 288.053888 137.735897 \nL 291.033387 133.56875 \nL 293.826596 129.209756 \nL 296.378405 124.728075 \nL 298.632727 120.204342 \nL 300.534607 115.728384 \nL 302.032654 111.395885 \nL 303.081632 107.304127 \nL 303.644963 103.547129 \nL 303.697047 100.210529 \nL 303.225031 97.366856 \nL 302.229959 95.071643 \nL 300.727088 93.360773 \nL 298.745362 92.249422 \nL 296.326077 91.732555 \nL 293.520878 91.786942 \nL 290.389227 92.374213 \nL 286.995652 93.444631 \nL 283.406961 94.94113 \nL 279.689594 96.803066 \nL 275.907372 98.969602 \nL 272.119644 101.382353 \nL 268.379932 103.987314 \nL 264.735094 106.736003 \nL 261.224874 109.586078 \nL 257.881886 112.501352 \nL 254.73188 115.451541 \nL 251.794231 118.411682 \nL 249.082576 121.361498 \nL 246.605555 124.284675 \nL 244.367554 127.168173 \nL 242.369474 130.00157 \nL 240.609446 132.776514 \nL 239.083487 135.486182 \nL 237.786088 138.124901 \nL 236.710746 140.687761 \nL 235.850401 143.170371 \nL 235.197801 145.568587 \nL 234.745825 147.878315 \nL 234.487713 150.095373 \nL 234.417254 152.215302 \nL 234.528937 154.233279 \nL 234.818029 156.143966 \nL 235.280649 157.941411 \nL 235.913771 159.618925 \nL 236.715236 161.168979 \nL 237.68369 162.583094 \nL 238.818538 163.851712 \nL 240.119833 164.964097 \nL 241.588153 165.90824 \nL 243.22445 166.670747 \nL 245.029838 167.236795 \nL 247.00537 167.59008 \nL 249.15175 167.712833 \nL 251.469007 167.585917 \nL 253.956095 167.188991 \nL 256.610444 166.500783 \nL 259.427458 165.499574 \nL 262.399917 164.163804 \nL 265.51737 162.472942 \nL 268.765447 160.408596 \nL 272.125175 157.955897 \nL 275.572289 155.105162 \nL 279.076636 151.853807 \nL 282.601701 148.208444 \nL 286.104316 144.187014 \nL 289.534698 139.820853 \nL 292.836876 135.15633 \nL 295.949582 130.255889 \nL 298.807703 125.198123 \nL 301.344308 120.076575 \nL 303.49321 114.997156 \nL 305.191962 110.074038 \nL 306.385104 105.42426 \nL 307.027426 101.161381 \nL 307.086936 97.388786 \nL 306.547187 94.193474 \nL 305.408789 91.640871 \nL 303.689815 89.771433 \nL 301.425106 88.599476 \nL 298.664483 88.114032 \nL 295.4701 88.281823 \nL 291.913198 89.051545 \nL 288.070538 90.358991 \nL 284.020862 92.132362 \nL 279.841672 94.297176 \nL 275.606486 96.780331 \nL 271.382704 99.51326 \nL 267.230137 102.433979 \nL 263.200142 105.488234 \nL 259.335309 108.629859 \nL 255.669619 111.820531 \nL 252.22893 115.029125 \nL 249.031713 118.230867 \nL 246.089911 121.406383 \nL 243.409903 124.540716 \nL 240.993453 127.622481 \nL 238.838613 130.643046 \nL 236.94058 133.595876 \nL 235.292464 136.475967 \nL 233.885952 139.279377 \nL 232.711885 142.002891 \nL 231.760749 144.643705 \nL 231.023067 147.199207 \nL 230.48972 149.666775 \nL 230.152198 152.043654 \nL 230.002794 154.326801 \nL 230.034742 156.51279 \nL 230.242304 158.597679 \nL 230.620836 160.576924 \nL 231.166812 162.44528 \nL 231.877811 164.196662 \nL 232.752499 165.824038 \nL 233.79057 167.319313 \nL 234.992672 168.673195 \nL 236.360318 169.875025 \nL 237.895746 170.912671 \nL 239.601782 171.772374 \nL 241.481635 172.438612 \nL 243.538685 172.893992 \nL 245.776189 173.119185 \nL 248.196962 173.0929 \nL 250.802973 172.791955 \nL 253.594869 172.191441 \nL 256.57142 171.265095 \nL 259.728885 169.985808 \nL 263.060277 168.326426 \nL 266.554554 166.260836 \nL 270.195736 163.765452 \nL 273.962006 160.821043 \nL 277.824806 157.414986 \nL 281.748043 153.543866 \nL 285.687427 149.216352 \nL 289.590141 144.456154 \nL 293.394911 139.304772 \nL 297.03266 133.823671 \nL 300.42782 128.095457 \nL 303.500425 122.223563 \nL 306.169009 116.330074 \nL 308.354222 110.551425 \nL 309.982987 105.032003 \nL 310.992856 99.916052 \nL 311.336219 95.33864 \nL 310.983908 91.416626 \nL 309.927723 88.240813 \nL 308.181581 85.870355 \nL 305.781135 84.330166 \nL 302.781852 83.611426 \nL 299.255771 83.675075 \nL 295.287315 84.457637 \nL 290.968655 85.878182 \nL 286.394961 87.845772 \nL 281.66012 90.266235 \nL 276.853054 93.047867 \nL 272.054928 96.105605 \nL 267.337192 99.363744 \nL 262.76055 102.757305 \nL 258.374624 106.232245 \nL 254.21823 109.744932 \nL 250.320083 113.261074 \nL 246.699814 116.754433 \nL 243.369142 120.205452 \nL 240.333117 123.599912 \nL 237.591329 126.927776 \nL 235.139072 130.182155 \nL 232.968399 133.358445 \nL 231.069046 136.453673 \nL 229.429241 139.46598 \nL 228.036383 142.394181 \nL 226.877598 145.237491 \nL 225.940199 147.99527 \nL 225.212042 150.666865 \nL 224.681802 153.251493 \nL 224.339174 155.748102 \nL 224.175029 158.155312 \nL 224.181504 160.471346 \nL 224.352067 162.693915 \nL 224.681545 164.820169 \nL 225.16613 166.846605 \nL 225.80336 168.768965 \nL 226.592091 170.58214 \nL 227.532449 172.280026 \nL 228.625773 173.855407 \nL 229.874545 175.299777 \nL 231.282304 176.603196 \nL 232.853539 177.754074 \nL 234.59356 178.738989 \nL 236.508354 179.542477 \nL 238.604383 180.146827 \nL 240.88835 180.53187 \nL 243.366909 180.674831 \nL 246.046291 180.550203 \nL 248.931865 180.129719 \nL 252.027587 179.382464 \nL 255.335333 178.27516 \nL 258.854126 176.772709 \nL 262.579201 174.839058 \nL 266.500953 172.438517 \nL 270.603775 169.537519 \nL 274.864779 166.107062 \nL 279.252532 162.125676 \nL 283.725824 157.583064 \nL 288.23263 152.484222 \nL 292.709469 146.853797 \nL 297.081278 140.740291 \nL 301.262119 134.219535 \nL 305.156846 127.396733 \nL 308.663934 120.406226 \nL 311.67951 113.408427 \nL 314.102479 106.583367 \nL 315.840463 100.120969 \nL 316.816013 94.208783 \nL 316.972533 89.0184 \nL 316.279111 84.692292 \nL 314.733682 81.333111 \nL 312.363943 78.996926 \nL 309.225971 77.691432 \nL 305.40063 77.379081 \nL 300.988247 77.984455 \nL 296.10223 79.404292 \nL 290.862332 81.518585 \nL 285.388338 84.201203 \nL 279.794567 87.32881 \nL 274.185633 90.787484 \nL 268.653544 94.476966 \nL 263.276027 98.312635 \nL 258.116027 102.225789 \nL 253.222075 106.162644 \nL 248.629286 110.082602 \nL 244.360799 113.956152 \nL 240.429403 117.762762 \nL 236.839264 121.488882 \nL 233.587583 125.126217 \nL 230.666146 128.670279 \nL 228.062721 132.119231 \nL 225.762266 135.473006 \nL 223.747949 138.732648 \nL 222.002009 141.89982 \nL 220.506435 144.976475 \nL 219.243511 147.964641 \nL 218.196234 150.866252 \nL 217.348632 153.683067 \nL 216.685974 156.416599 \nL 216.194931 159.068081 \nL 215.863665 161.638453 \nL 215.681884 164.128334 \nL 215.640852 166.537985 \nL 215.733382 168.867319 \nL 215.953815 171.115828 \nL 216.297976 173.282575 \nL 216.76314 175.366125 \nL 217.347981 177.364477 \nL 218.052535 179.275002 \nL 218.878144 181.09431 \nL 219.827427 182.818183 \nL 220.904235 184.441402 \nL 222.113609 185.957602 \nL 223.461747 187.359082 \nL 224.955955 188.636599 \nL 226.604589 189.77912 \nL 228.416999 190.773545 \nL 230.403423 191.604409 \nL 232.574879 192.253544 \nL 234.942992 192.699728 \nL 237.519776 192.918319 \nL 240.317341 192.880897 \nL 243.347493 192.554949 \nL 246.621229 191.903627 \nL 250.148076 190.885668 \nL 253.935263 189.455521 \nL 257.986684 187.563813 \nL 262.301635 185.158301 \nL 266.873312 182.185448 \nL 271.687056 178.592831 \nL 276.718424 174.332507 \nL 281.931088 169.365546 \nL 287.274763 163.667759 \nL 292.683317 157.236439 \nL 298.073415 150.097841 \nL 303.343979 142.314649 \nL 308.376974 133.992372 \nL 313.039835 125.283225 \nL 317.189953 116.385954 \nL 320.681261 107.540141 \nL 323.372784 99.01421 \nL 325.138505 91.087396 \nL 325.877576 84.027307 \nL 325.523573 78.066073 \nL 324.051376 73.379084 \nL 321.480664 70.069773 \nL 317.875241 68.163382 \nL 313.338363 67.610309 \nL 308.004701 68.297952 \nL 302.030173 70.068223 \nL 295.581011 72.737197 \nL 288.823438 76.113793 \nL 281.914925 80.015043 \nL 274.997596 84.276813 \nL 268.193958 88.759842 \nL 261.60483 93.351798 \nL 255.309059 97.966431 \nL 249.364608 102.540695 \nL 243.810528 107.031111 \nL 238.669441 111.409769 \nL 233.950225 115.660582 \nL 229.65066 119.776089 \nL 225.759889 123.754748 \nL 222.260613 127.598914 \nL 219.130996 131.313255 \nL 216.346242 134.903686 \nL 213.879899 138.376588 \nL 211.704878 141.738343 \nL 209.794253 144.995037 \nL 208.121849 148.152306 \nL 206.662671 151.215278 \nL 205.393189 154.188566 \nL 203.337512 159.882152 \nL 201.800655 165.261186 \nL 200.655853 170.348508 \nL 199.801439 175.163227 \nL 198.894205 181.909692 \nL 198.093452 190.090457 \nL 196.725018 205.54737 \nL 196.153092 209.908938 \nL 195.424312 213.919335 \nL 194.468411 217.597308 \nL 193.661714 219.870274 \nL 192.681303 222.000625 \nL 191.486289 223.984988 \nL 190.02647 225.814841 \nL 188.240084 227.474106 \nL 186.051161 228.935509 \nL 184.777379 229.57913 \nL 183.36647 230.1551 \nL 181.80353 230.653983 \nL 180.072146 231.064071 \nL 178.154296 231.370894 \nL 176.03027 231.556626 \nL 173.678606 231.599382 \nL 171.076074 231.472381 \nL 168.197736 231.142977 \nL 165.017082 230.571554 \nL 161.506321 229.710284 \nL 157.636839 228.501811 \nL 153.379934 226.877899 \nL 148.707889 224.758195 \nL 143.595479 222.049316 \nL 138.02206 218.644575 \nL 131.974373 214.424811 \nL 125.450147 209.260946 \nL 118.462651 203.019128 \nL 111.046211 195.569361 \nL 103.262476 186.798599 \nL 95.207155 176.628944 \nL 87.016454 165.04095 \nL 78.872046 152.100548 \nL 71.00295 137.986226 \nL 63.682454 123.010565 \nL 57.218113 107.62819 \nL 51.933704 92.421902 \nL 48.143365 78.061079 \nL 46.120243 65.233153 \nL 46.064393 54.557602 \nL 48.075801 46.500485 \nL 52.138623 41.310637 \nL 58.120545 38.994106 \nL 65.787447 39.332464 \nL 74.83026 41.937081 \nL 84.898162 46.322474 \nL 95.631804 51.979624 \nL 106.691508 58.434836 \nL 117.777413 65.28708 \nL 139.089304 79.022972 \nL 158.229184 91.685058 \nL 174.612301 102.763898 \nL 188.182233 112.281125 \nL 199.189886 120.459053 \nL 208.030195 127.546221 \nL 215.13914 133.747315 \nL 220.936396 139.206552 \nL 232.025884 150.082561 \nL 235.842271 153.37128 \nL 237.72792 154.778324 \nL 239.627043 156.019242 \nL 241.558012 157.086397 \nL 243.536948 157.970843 \nL 245.577807 158.662409 \nL 247.692414 159.149767 \nL 249.890455 159.420543 \nL 252.179421 159.461486 \nL 254.564473 159.258674 \nL 257.048295 158.797831 \nL 259.630863 158.064738 \nL 262.309163 157.045741 \nL 265.076896 155.728448 \nL 267.924128 154.102517 \nL 270.836976 152.160637 \nL 273.797246 149.899651 \nL 276.782196 147.321759 \nL 279.764348 144.435831 \nL 282.711473 141.258679 \nL 285.586733 137.816195 \nL 288.349113 134.14427 \nL 290.954119 130.289273 \nL 293.354784 126.307963 \nL 295.503044 122.266717 \nL 297.35136 118.239929 \nL 298.85467 114.307619 \nL 299.972407 110.552276 \nL 300.670579 107.055157 \nL 300.923702 103.892319 \nL 300.716375 101.130762 \nL 300.044461 98.825005 \nL 298.915604 97.014547 \nL 297.349156 95.722371 \nL 295.375393 94.954679 \nL 293.034189 94.701748 \nL 290.373194 94.939867 \nL 287.445697 95.633959 \nL 284.308392 96.740603 \nL 281.019148 98.211115 \nL 277.634952 99.994436 \nL 274.210174 102.039646 \nL 270.795182 104.297924 \nL 267.435324 106.723966 \nL 264.170291 109.276865 \nL 261.033853 111.920521 \nL 258.053841 114.623711 \nL 255.252388 117.359865 \nL 252.646344 120.106658 \nL 250.24779 122.84552 \nL 248.064646 125.561111 \nL 246.101283 128.240753 \nL 244.359139 130.873951 \nL 242.837312 133.45191 \nL 241.533092 135.967167 \nL 240.442466 138.413197 \nL 239.560545 140.784143 \nL 238.881928 143.074562 \nL 238.401022 145.27921 \nL 238.112292 147.392842 \nL 238.010472 149.410083 \nL 238.0907 151.325258 \nL 238.34865 153.13229 \nL 238.780591 154.824559 \nL 239.383426 156.394811 \nL 240.15468 157.835048 \nL 241.092479 159.136428 \nL 242.195486 160.289163 \nL 243.462788 161.28246 \nL 244.893784 162.104444 \nL 246.488019 162.742111 \nL 248.244983 163.181311 \nL 250.163868 163.4068 \nL 252.243291 163.402303 \nL 254.480971 163.150701 \nL 256.873339 162.634275 \nL 259.415134 161.835083 \nL 262.098921 160.73552 \nL 264.914589 159.318975 \nL 267.848805 157.57075 \nL 270.884496 155.479115 \nL 274.000278 153.036625 \nL 277.170022 150.241578 \nL 280.362468 147.099609 \nL 283.541006 143.625329 \nL 286.663709 139.843884 \nL 289.68362 135.792256 \nL 292.549427 131.520086 \nL 295.206534 127.089913 \nL 297.598552 122.576427 \nL 299.669219 118.064817 \nL 301.364668 113.647934 \nL 302.635899 109.422515 \nL 303.441378 105.48457 \nL 303.749439 101.924365 \nL 303.54034 98.821445 \nL 302.807744 96.240252 \nL 301.559476 94.226829 \nL 299.817401 92.806915 \nL 297.616513 91.985659 \nL 295.00325 91.748879 \nL 292.033202 92.065593 \nL 288.768466 92.891519 \nL 285.274816 94.172997 \nL 281.619017 95.850875 \nL 277.866331 97.864202 \nL 274.078456 100.153157 \nL 270.311917 102.661401 \nL 266.616985 105.337589 \nL 263.036997 108.136253 \nL 259.608169 111.018105 \nL 256.359685 113.949894 \nL 253.314102 116.904016 \nL 250.487909 119.85788 \nL 247.892224 122.793219 \nL 245.53354 125.695375 \nL 243.414474 128.552645 \nL 241.534516 131.355653 \nL 239.890711 134.09683 \nL 238.478298 136.769937 \nL 237.291248 139.369693 \nL 236.322762 141.891457 \nL 235.565674 144.330952 \nL 235.012779 146.684063 \nL 234.657129 148.946656 \nL 234.492227 151.114408 \nL 234.512201 153.182687 \nL 234.711922 155.146402 \nL 235.087074 156.999917 \nL 235.634201 158.736928 \nL 236.350699 160.350325 \nL 237.234808 161.832108 \nL 238.285552 163.173264 \nL 239.50265 164.363669 \nL 240.886418 165.391948 \nL 242.437614 166.245431 \nL 244.157271 166.910014 \nL 246.046474 167.37015 \nL 248.106111 167.608824 \nL 250.336551 167.607599 \nL 252.737298 167.346736 \nL 255.306562 166.805422 \nL 258.040785 165.962168 \nL 260.934086 164.79531 \nL 263.977668 163.283769 \nL 267.159158 161.408026 \nL 270.461921 159.151374 \nL 273.864403 156.501442 \nL 277.339434 153.451971 \nL 280.853713 150.004836 \nL 284.367439 146.172172 \nL 287.834132 141.978491 \nL 291.200904 137.462537 \nL 294.409083 132.678677 \nL 297.395399 127.697449 \nL 300.093697 122.605046 \nL 302.437269 117.501429 \nL 304.361616 112.496969 \nL 305.807595 107.707684 \nL 306.724717 103.249322 \nL 307.074247 99.230782 \nL 306.831911 95.747575 \nL 305.989803 92.876095 \nL 304.557359 90.669314 \nL 302.561218 89.154443 \nL 300.043948 88.332804 \nL 297.061813 88.181853 \nL 293.68179 88.6588 \nL 289.978137 89.705392 \nL 286.028838 91.253216 \nL 281.912168 93.228806 \nL 277.703743 95.558139 \nL 273.474056 98.170296 \nL 269.286683 101 \nL 265.197132 103.989219 \nL 261.252274 107.087852 \nL 257.49027 110.253819 \nL 253.940908 113.452547 \nL 250.626212 116.656242 \nL 247.561262 119.842962 \nL 244.755107 122.995667 \nL 242.211718 126.101286 \nL 239.930919 129.149876 \nL 237.909273 132.133909 \nL 236.140884 135.047652 \nL 234.618113 137.886666 \nL 233.332208 140.647392 \nL 232.273816 143.326814 \nL 231.433439 145.922226 \nL 230.801782 148.431005 \nL 230.370044 150.850454 \nL 230.13013 153.177663 \nL 230.074817 155.40938 \nL 230.197874 157.541901 \nL 230.49413 159.570978 \nL 230.959516 161.491692 \nL 231.591079 163.298361 \nL 232.386957 164.98441 \nL 233.346345 166.542262 \nL 234.469431 167.96319 \nL 235.757301 169.237195 \nL 237.211837 170.352872 \nL 238.835579 171.297245 \nL 240.631543 172.055637 \nL 242.603021 172.611581 \nL 244.753322 172.946685 \nL 247.085464 173.040609 \nL 249.601823 172.871095 \nL 252.30368 172.414079 \nL 255.19071 171.643947 \nL 258.260378 170.533992 \nL 261.507271 169.05707 \nL 264.922304 167.186541 \nL 268.491884 164.897577 \nL 272.197017 162.168782 \nL 276.01241 158.984272 \nL 279.905591 155.336124 \nL 283.836214 151.227115 \nL 287.755539 146.673633 \nL 291.606324 141.708586 \nL 295.323171 136.383842 \nL 298.833521 130.771932 \nL 302.059391 124.966482 \nL 304.919871 119.080934 \nL 307.334405 113.245267 \nL 309.226736 107.600566 \nL 310.529154 102.291697 \nL 311.186858 97.458636 \nL 311.161829 93.227332 \nL 310.435919 89.70122 \nL 309.012658 86.95457 \nL 306.917597 85.028316 \nL 304.197092 83.929231 \nL 300.915673 83.631998 \nL 297.15225 84.084067 \nL 292.99564 85.212125 \nL 288.539869 86.929425 \nL 283.879627 89.142923 \nL 279.106294 91.759481 \nL 274.304727 94.690801 \nL 269.550924 97.856796 \nL 264.91057 101.187541 \nL 260.438388 104.624016 \nL 256.17814 108.117872 \nL 252.163145 111.630617 \nL 248.417165 115.132406 \nL 244.955515 118.600696 \nL 241.786263 122.018886 \nL 238.911472 125.375072 \nL 236.328383 128.66095 \nL 234.030518 131.870902 \nL 232.008665 135.001217 \nL 230.251737 138.049521 \nL 228.747515 141.014321 \nL 227.483253 143.894632 \nL 226.446191 146.689737 \nL 225.623945 149.398984 \nL 225.004828 152.021618 \nL 224.578082 154.556691 \nL 224.334054 157.00296 \nL 224.264315 159.358808 \nL 224.361739 161.622148 \nL 224.620543 163.790378 \nL 225.036305 165.860264 \nL 225.605962 167.827874 \nL 226.327772 169.68846 \nL 227.201291 171.436341 \nL 228.227306 173.064788 \nL 229.407783 174.565861 \nL 230.745776 175.93024 \nL 232.245338 177.147054 \nL 233.911396 178.203684 \nL 235.749622 179.085576 \nL 237.766244 179.775994 \nL 239.967836 180.255869 \nL 242.361042 180.503566 \nL 244.952257 180.494801 \nL 247.747203 180.202534 \nL 250.750426 179.597026 \nL 253.964689 178.64606 \nL 257.390239 177.315353 \nL 261.023954 175.569281 \nL 264.858328 173.371992 \nL 268.880368 170.689 \nL 273.070352 167.489276 \nL 277.400587 163.748019 \nL 281.834111 159.450004 \nL 286.323616 154.593491 \nL 290.81059 149.194488 \nL 295.224974 143.291066 \nL 299.485498 136.947192 \nL 303.500921 130.255391 \nL 307.172354 123.337604 \nL 310.396777 116.343307 \nL 313.071705 109.444551 \nL 315.100806 102.827614 \nL 316.400027 96.681738 \nL 316.9037 91.185989 \nL 316.569878 86.495784 \nL 315.38422 82.731017 \nL 313.361887 79.967584 \nL 310.547147 78.233406 \nL 307.010678 77.509536 \nL 302.844917 77.735867 \nL 298.158092 78.82016 \nL 293.067572 80.648797 \nL 287.693361 83.097717 \nL 282.152218 86.042069 \nL 276.552899 89.363857 \nL 270.992674 92.957082 \nL 265.555182 96.73071 \nL 260.309456 100.609589 \nL 255.309921 104.5339 \nL 250.597177 108.457761 \nL 246.199244 112.347224 \nL 242.133124 116.178166 \nL 238.406505 119.934245 \nL 235.019425 123.60507 \nL 231.965891 127.184611 \nL 229.235324 130.669962 \nL 226.813851 134.060327 \nL 224.685395 137.35627 \nL 222.832603 140.55919 \nL 221.237597 143.670904 \nL 219.882577 146.693363 \nL 218.750288 149.62852 \nL 217.824373 152.478174 \nL 217.089631 155.243894 \nL 216.532202 157.92701 \nL 216.139679 160.528546 \nL 215.901178 163.0492 \nL 215.807368 165.489354 \nL 215.850467 167.84902 \nL 216.024235 170.127823 \nL 216.323932 172.324949 \nL 216.746283 174.439108 \nL 217.289437 176.468482 \nL 217.952912 178.41062 \nL 218.737564 180.262375 \nL 219.645535 182.019781 \nL 220.680217 183.677924 \nL 221.846209 185.230796 \nL 223.149282 186.671114 \nL 224.596325 187.990119 \nL 226.195302 189.177343 \nL 227.955186 190.220353 \nL 229.885872 191.104435 \nL 231.998068 191.812297 \nL 234.303138 192.323709 \nL 236.812904 192.615148 \nL 239.539372 192.659436 \nL 242.494363 192.425421 \nL 245.689051 191.877706 \nL 249.133351 190.976525 \nL 252.835136 189.677795 \nL 256.799281 187.933488 \nL 261.026459 185.692419 \nL 265.511733 182.90162 \nL 270.242882 179.508461 \nL 275.198528 175.463742 \nL 280.346094 170.72581 \nL 285.639727 165.265894 \nL 291.018347 159.07454 \nL 296.404133 152.168837 \nL 301.70172 144.599929 \nL 306.79852 136.45972 \nL 311.566663 127.88566 \nL 315.866809 119.061836 \nL 319.554072 110.215095 \nL 322.485962 101.60501 \nL 324.531851 93.507706 \nL 325.583124 86.194686 \nL 325.562755 79.909351 \nL 324.432955 74.844715 \nL 322.199741 71.12624 \nL 318.913547 68.802782 \nL 314.665745 67.84707 \nL 309.581577 68.165085 \nL 303.810617 69.611982 \nL 297.515998 72.011222 \nL 290.86391 75.173715 \nL 284.01433 78.914083 \nL 277.113814 83.062716 \nL 270.290549 87.473216 \nL 263.651622 92.025559 \nL 257.282257 96.62605 \nL 251.246486 101.20507 \nL 245.588877 105.713532 \nL 240.336871 110.119057 \nL 235.503414 114.402155 \nL 231.089595 118.552835 \nL 227.087167 122.567806 \nL 223.480816 126.448236 \nL 220.250144 130.198067 \nL 217.371339 133.822772 \nL 214.818551 137.328541 \nL 212.565001 140.72169 \nL 210.583834 144.008334 \nL 208.848773 147.194193 \nL 207.334595 150.284492 \nL 206.017454 153.283968 \nL 204.875099 156.19685 \nL 203.034315 161.777606 \nL 201.668793 167.052699 \nL 200.661864 172.043447 \nL 199.92088 176.767877 \nL 199.154755 183.389188 \nL 198.520692 191.42004 \nL 197.04578 213.568333 \nL 196.375579 218.491265 \nL 195.680004 221.838196 \nL 195.089104 223.913776 \nL 194.367792 225.868003 \nL 193.48511 227.701349 \nL 192.402817 229.411281 \nL 191.073592 230.990915 \nL 189.438849 232.426904 \nL 187.426105 233.696247 \nL 184.945878 234.761419 \nL 183.496982 235.199999 \nL 181.888147 235.563005 \nL 180.101783 235.837779 \nL 178.118548 236.008642 \nL 175.917255 236.056225 \nL 173.474804 235.95668 \nL 170.766167 235.680728 \nL 167.764452 235.192574 \nL 164.44107 234.448647 \nL 160.766058 233.396198 \nL 156.708614 231.971804 \nL 152.237957 230.099857 \nL 147.324544 227.691192 \nL 141.941849 224.642135 \nL 136.068783 220.834334 \nL 129.692947 216.135972 \nL 122.814825 210.405127 \nL 115.453079 203.496252 \nL 107.650863 195.270951 \nL 99.482996 185.614044 \nL 91.063446 174.455604 \nL 82.552207 161.798561 \nL 74.160062 147.749658 \nL 66.149202 132.548853 \nL 58.827559 116.589646 \nL 52.534761 100.420441 \nL 47.61877 84.717993 \nL 44.404466 70.228264 \nL 43.157727 57.679449 \nL 44.051227 47.682375 \nL 47.139059 40.641882 \nL 52.346355 36.702702 \nL 59.476608 35.744062 \nL 68.23508 37.422151 \nL 78.262969 41.245094 \nL 89.175101 46.658345 \nL 100.594356 53.120312 \nL 112.178306 60.155676 \nL 123.636117 67.383557 \nL 145.30664 81.388761 \nL 172.895312 99.488784 \nL 187.585548 109.363593 \nL 199.52279 117.731655 \nL 209.106822 124.87917 \nL 216.793973 131.047235 \nL 223.029055 136.408443 \nL 234.74888 146.870608 \nL 238.67629 149.95377 \nL 240.592531 151.253102 \nL 242.506442 152.384203 \nL 244.436602 153.340412 \nL 246.39905 154.113951 \nL 248.407359 154.696036 \nL 250.472714 155.077002 \nL 252.603904 155.246497 \nL 254.807297 155.193679 \nL 257.08677 154.907488 \nL 259.44358 154.377016 \nL 261.876201 153.591899 \nL 264.380139 152.542905 \nL 266.947724 151.222512 \nL 269.567876 149.625679 \nL 272.225934 147.750682 \nL 274.903458 145.600019 \nL 277.57815 143.181355 \nL 280.223877 140.508477 \nL 282.810801 137.602111 \nL 285.305702 134.490618 \nL 287.672504 131.210385 \nL 289.873034 127.805831 \nL 291.86802 124.328929 \nL 293.618278 120.838211 \nL 295.086138 117.397162 \nL 296.236974 114.072092 \nL 297.040761 110.929559 \nL 297.473586 108.033527 \nL 297.518991 105.442459 \nL 297.16899 103.206647 \nL 296.424737 101.365944 \nL 295.29671 99.948183 \nL 293.804455 98.968416 \nL 291.975815 98.42893 \nL 289.845809 98.320118 \nL 287.455198 98.621944 \nL 284.848808 99.305913 \nL 282.073853 100.337273 \nL 279.178242 101.677252 \nL 276.209072 103.285118 \nL 273.211327 105.120004 \nL 270.2268 107.142354 \nL 267.293365 109.315005 \nL 264.444461 111.603883 \nL 261.708847 113.978379 \nL 259.110596 116.411453 \nL 256.669238 118.879548 \nL 254.400051 121.362368 \nL 252.31445 123.842519 \nL 250.420419 126.30516 \nL 248.722997 128.737612 \nL 247.224739 131.128968 \nL 245.926185 133.469783 \nL 244.826286 135.751696 \nL 243.922793 137.967204 \nL 243.212615 140.10937 \nL 242.692107 142.17162 \nL 242.357337 144.147554 \nL 242.204291 146.030799 \nL 242.229031 147.814828 \nL 242.427833 149.49285 \nL 242.797255 151.057706 \nL 243.334193 152.501741 \nL 244.035896 153.816747 \nL 244.899938 154.993843 \nL 245.924164 156.023452 \nL 247.106609 156.89523 \nL 248.445375 157.598039 \nL 249.938484 158.119957 \nL 251.583688 158.448316 \nL 253.378253 158.569797 \nL 255.318698 158.470563 \nL 257.400505 158.136501 \nL 259.617787 157.553517 \nL 261.962941 156.707957 \nL 264.426252 155.587142 \nL 266.995496 154.18005 \nL 269.655539 152.478107 \nL 272.387944 150.476128 \nL 275.170652 148.173385 \nL 277.977681 145.57472 \nL 280.779016 142.69173 \nL 283.540591 139.543867 \nL 286.224508 136.159358 \nL 288.789518 132.575874 \nL 291.191745 128.840731 \nL 293.385711 125.010564 \nL 295.325692 121.150294 \nL 296.967301 117.331427 \nL 298.269263 113.629572 \nL 299.195317 110.121411 \nL 299.716007 106.881261 \nL 299.810365 103.977459 \nL 299.467204 101.469014 \nL 298.686014 99.402745 \nL 297.477238 97.811232 \nL 295.862001 96.711802 \nL 293.871245 96.106562 \nL 291.544382 95.983436 \nL 288.927548 96.318062 \nL 286.071616 97.076225 \nL 283.030133 98.216626 \nL 279.857331 99.693587 \nL 276.606309 101.459676 \nL 273.327485 103.467788 \nL 270.06741 105.672885 \nL 266.867894 108.033192 \nL 263.765465 110.510941 \nL 260.791175 113.07272 \nL 257.970607 115.689498 \nL 255.324124 118.336407 \nL 252.867247 120.992425 \nL 250.611143 123.639899 \nL 248.563179 126.264063 \nL 246.727479 128.852576 \nL 245.105486 131.395065 \nL 243.69651 133.882708 \nL 242.498211 136.30786 \nL 241.50705 138.663746 \nL 240.71869 140.944185 \nL 240.128313 143.143359 \nL 239.73093 145.255595 \nL 239.521586 147.275218 \nL 239.495561 149.196382 \nL 239.648497 151.012916 \nL 239.976495 152.718246 \nL 240.476171 154.305253 \nL 241.144673 155.766167 \nL 241.979676 157.092482 \nL 242.979328 158.274879 \nL 244.142174 159.30312 \nL 245.467046 160.166018 \nL 246.95292 160.851374 \nL 248.598734 161.345994 \nL 250.403178 161.635687 \nL 252.364435 161.705364 \nL 254.479881 161.539199 \nL 256.745753 161.12084 \nL 259.156758 160.433771 \nL 261.705654 159.461764 \nL 264.382791 158.18951 \nL 267.175621 156.603403 \nL 270.068223 154.692496 \nL 273.040801 152.449632 \nL 276.06926 149.872754 \nL 279.124873 146.966292 \nL 282.174067 143.742648 \nL 285.178409 140.223568 \nL 288.094819 136.441358 \nL 290.876152 132.439725 \nL 293.472072 128.274042 \nL 295.830318 124.010923 \nL 297.898365 119.726898 \nL 299.625392 115.506158 \nL 300.964495 111.437393 \nL 301.874988 107.609876 \nL 302.324617 104.109034 \nL 302.291559 101.011998 \nL 301.765883 98.383518 \nL 300.750482 96.272593 \nL 299.261229 94.71034 \nL 297.326388 93.709236 \nL 294.985355 93.263635 \nL 292.28678 93.351626 \nL 289.286277 93.937806 \nL 286.04396 94.976629 \nL 282.621899 96.41589 \nL 279.081802 98.200111 \nL 275.482967 100.27349 \nL 271.880618 102.582289 \nL 268.324692 105.076496 \nL 264.859056 107.710976 \nL 261.521116 110.445962 \nL 258.341749 113.247209 \nL 255.345541 116.085745 \nL 252.551214 118.937427 \nL 249.972184 121.782383 \nL 247.617225 124.604375 \nL 245.491148 127.390217 \nL 243.595482 130.129174 \nL 241.929133 132.812443 \nL 240.488994 135.432704 \nL 239.270481 137.983728 \nL 238.268023 140.460033 \nL 237.475477 142.856632 \nL 236.886471 145.16879 \nL 236.494692 147.391819 \nL 236.294125 149.520924 \nL 236.279223 151.551053 \nL 236.445028 153.476781 \nL 236.787273 155.292157 \nL 237.302425 156.990617 \nL 237.9877 158.564869 \nL 238.841049 160.006771 \nL 239.861106 161.307233 \nL 241.047106 162.456131 \nL 242.398785 163.442193 \nL 243.916232 164.252934 \nL 245.599716 164.874613 \nL 247.449468 165.292169 \nL 249.465428 165.489278 \nL 251.646944 165.448402 \nL 253.992406 165.150987 \nL 256.498862 164.577686 \nL 259.161541 163.708798 \nL 261.973336 162.524793 \nL 264.924248 161.00711 \nL 268.000794 159.139088 \nL 271.185383 156.90719 \nL 274.455723 154.302439 \nL 277.784281 151.322081 \nL 281.137827 147.971387 \nL 284.477194 144.265552 \nL 287.757288 140.231462 \nL 290.927373 135.909202 \nL 293.931837 131.353079 \nL 296.711381 126.631816 \nL 299.204696 121.827757 \nL 301.350661 117.034883 \nL 303.090897 112.355529 \nL 304.372605 107.895981 \nL 305.151469 103.761098 \nL 305.394342 100.048555 \nL 305.081547 96.843234 \nL 304.208415 94.212285 \nL 302.786001 92.201637 \nL 300.840797 90.834216 \nL 298.413533 90.109945 \nL 295.55708 90.007639 \nL 292.333788 90.488241 \nL 288.8124 91.49901 \nL 285.064887 92.978133 \nL 281.163466 94.859148 \nL 277.177912 97.074904 \nL 273.173405 99.56072 \nL 269.208919 102.256686 \nL 265.336163 105.109163 \nL 261.59905 108.071427 \nL 258.033607 111.1038 \nL 254.66823 114.173297 \nL 251.524231 117.253033 \nL 248.616536 120.321421 \nL 245.954496 123.361372 \nL 243.542736 126.35948 \nL 241.381994 129.305277 \nL 239.469934 132.190573 \nL 237.801864 135.008919 \nL 236.371409 137.755101 \nL 235.171084 140.424792 \nL 234.192785 143.014205 \nL 233.428204 145.519865 \nL 232.869173 147.938385 \nL 232.507922 150.266312 \nL 232.337294 152.499952 \nL 232.350904 154.635286 \nL 232.543247 156.667798 \nL 232.909767 158.592407 \nL 233.446897 160.403343 \nL 234.152052 162.094014 \nL 235.023618 163.656918 \nL 236.060888 165.083501 \nL 237.26399 166.364051 \nL 238.633788 167.487564 \nL 240.171746 168.441611 \nL 241.879758 169.21226 \nL 243.759953 169.783944 \nL 245.814444 170.139429 \nL 248.045043 170.259781 \nL 250.452907 170.124426 \nL 253.038131 169.7113 \nL 255.799267 168.997114 \nL 258.732767 167.957813 \nL 261.832365 166.569188 \nL 265.088377 164.807797 \nL 268.486954 162.652139 \nL 272.009278 160.084141 \nL 275.630815 157.091018 \nL 279.320542 153.667413 \nL 283.040399 149.817764 \nL 286.744857 145.558837 \nL 290.380897 140.922129 \nL 293.888384 135.955953 \nL 297.200966 130.72675 \nL 300.247655 125.319403 \nL 302.955039 119.836044 \nL 305.250138 114.393227 \nL 307.063827 109.117312 \nL 308.334537 104.138218 \nL 309.012008 99.582095 \nL 309.060699 95.563555 \nL 308.462514 92.178309 \nL 307.218492 89.49726 \nL 305.349254 87.562681 \nL 302.894138 86.386972 \nL 299.909082 85.954002 \nL 296.463513 86.222759 \nL 292.636537 87.132619 \nL 288.512863 88.609388 \nL 284.178805 90.571544 \nL 279.71865 92.935725 \nL 275.211665 95.621329 \nL 270.729832 98.553836 \nL 266.336316 101.666899 \nL 262.084662 104.903365 \nL 258.018611 108.215413 \nL 254.172389 111.564069 \nL 250.571358 114.918322 \nL 247.232926 118.254052 \nL 244.167565 121.552866 \nL 241.379908 124.801015 \nL 238.8698 127.988396 \nL 236.63332 131.107669 \nL 234.663693 134.153561 \nL 232.952122 137.122265 \nL 231.488479 140.010987 \nL 230.261926 142.817555 \nL 229.261405 145.54015 \nL 228.476044 148.177108 \nL 227.895481 150.726715 \nL 227.510114 153.187098 \nL 227.311284 155.556083 \nL 227.29141 157.831116 \nL 227.444082 160.009163 \nL 227.764108 162.086608 \nL 228.247542 164.059155 \nL 228.891674 165.921741 \nL 229.695012 167.668407 \nL 230.657233 169.292175 \nL 231.779125 170.784904 \nL 233.062504 172.13716 \nL 234.510106 173.338033 \nL 236.125474 174.374991 \nL 237.912795 175.233698 \nL 239.876712 175.897851 \nL 242.0221 176.34903 \nL 244.353783 176.566577 \nL 246.876186 176.527529 \nL 249.592932 176.206652 \nL 252.506329 175.576553 \nL 255.616791 174.607981 \nL 258.922137 173.270356 \nL 262.41678 171.532551 \nL 266.090828 169.364063 \nL 269.929086 166.736558 \nL 273.909987 163.625907 \nL 278.004524 160.014713 \nL 282.175271 155.89534 \nL 286.375528 151.273253 \nL 290.548813 146.170593 \nL 294.628789 140.629566 \nL 298.539866 134.715284 \nL 302.19856 128.517452 \nL 305.515819 122.150346 \nL 308.400295 115.750496 \nL 310.762493 109.471802 \nL 312.519641 103.478065 \nL 313.600855 97.933286 \nL 313.952134 92.990782 \nL 313.540613 88.782309 \nL 312.357582 85.408679 \nL 310.419764 82.933179 \nL 307.768791 81.378733 \nL 304.468752 80.729 \nL 300.602268 80.933132 \nL 296.26542 81.913014 \nL 291.56222 83.572042 \nL 286.599131 85.804027 \nL 281.480092 88.501093 \nL 276.302454 91.560171 \nL 271.15396 94.887451 \nL 266.110769 98.401086 \nL 261.236498 102.032278 \nL 256.582108 105.725138 \nL 252.186413 109.435681 \nL 248.077084 113.13035 \nL 244.271907 116.784353 \nL 240.780213 120.379989 \nL 237.604299 123.905106 \nL 234.740839 127.351733 \nL 232.182149 130.714991 \nL 229.917356 133.992171 \nL 227.933391 137.182049 \nL 226.215835 140.284347 \nL 224.749631 143.299334 \nL 223.519653 146.227544 \nL 222.511165 149.069582 \nL 221.710164 151.825973 \nL 221.10365 154.49707 \nL 220.679821 157.082952 \nL 220.428191 159.583398 \nL 220.339688 161.997804 \nL 220.40669 164.325147 \nL 220.623048 166.563925 \nL 220.984079 168.712109 \nL 221.486545 170.76704 \nL 222.128625 172.725368 \nL 222.909872 174.582941 \nL 223.831167 176.334706 \nL 224.894667 177.97453 \nL 226.103742 179.495094 \nL 227.462917 180.88768 \nL 228.977783 182.141994 \nL 230.654918 183.24592 \nL 232.501758 184.185299 \nL 234.526468 184.943662 \nL 236.737752 185.501964 \nL 239.144628 185.838313 \nL 241.756134 185.92773 \nL 244.580952 185.74195 \nL 247.62695 185.24931 \nL 250.900577 184.414763 \nL 254.406148 183.200102 \nL 258.144973 181.564444 \nL 262.114291 179.465135 \nL 266.306044 176.859122 \nL 270.705502 173.704963 \nL 275.289713 169.965571 \nL 280.025913 165.611773 \nL 284.869949 160.626699 \nL 289.764914 155.010894 \nL 294.640177 148.787869 \nL 299.411037 142.009589 \nL 303.979395 134.761146 \nL 308.235625 127.163695 \nL 312.061918 119.374503 \nL 315.337179 111.583244 \nL 317.943398 104.003858 \nL 319.773005 96.862046 \nL 320.736712 90.379334 \nL 320.770811 84.755616 \nL 319.843066 80.152522 \nL 317.956291 76.680281 \nL 315.149083 74.390312 \nL 311.493487 73.274425 \nL 307.08993 73.270559 \nL 302.06014 74.273615 \nL 296.538983 76.149157 \nL 290.666166 78.747765 \nL 284.578702 81.917989 \nL 278.404689 85.516592 \nL 272.258805 89.415565 \nL 266.239425 93.505945 \nL 260.427374 97.699033 \nL 254.885899 101.925561 \nL 249.661618 106.13371 \nL 244.786107 110.286409 \nL 240.277849 114.358542 \nL 236.144317 118.334244 \nL 232.384047 122.204561 \nL 228.988576 125.965472 \nL 225.944179 129.616327 \nL 223.233402 133.158657 \nL 220.83634 136.595323 \nL 218.731701 139.929866 \nL 216.897666 143.166084 \nL 215.312559 146.307775 \nL 213.955362 149.358586 \nL 212.806094 152.321884 \nL 211.846076 155.20075 \nL 211.058109 157.99795 \nL 210.426578 160.715962 \nL 209.9375 163.356958 \nL 209.338945 168.415336 \nL 209.18279 173.185446 \nL 209.413491 177.675852 \nL 209.997538 181.89121 \nL 210.921428 185.831644 \nL 212.190014 189.491584 \nL 212.959819 191.212635 \nL 213.825393 192.857918 \nL 214.792106 194.424157 \nL 215.866363 195.907207 \nL 217.055621 197.301875 \nL 218.368392 198.601743 \nL 219.814266 199.798952 \nL 221.403911 200.883933 \nL 223.14908 201.845104 \nL 225.062599 202.668532 \nL 227.158327 203.337527 \nL 229.451092 203.832185 \nL 231.956567 204.128901 \nL 234.691102 204.199817 \nL 237.67144 204.012267 \nL 240.914343 203.528211 \nL 244.436065 202.70373 \nL 248.251625 201.488647 \nL 252.373867 199.826385 \nL 256.812235 197.654179 \nL 261.571215 194.903902 \nL 266.648424 191.503677 \nL 272.032306 187.380602 \nL 277.699465 182.464942 \nL 283.611676 176.696019 \nL 289.712806 170.030053 \nL 295.925822 162.449882 \nL 302.150373 153.976147 \nL 308.261483 144.679002 \nL 314.110036 134.688627 \nL 319.525732 124.202186 \nL 324.323175 113.484554 \nL 328.311258 102.860137 \nL 331.305701 92.694257 \nL 333.143622 83.364675 \nL 333.698574 75.22615 \nL 332.893794 68.573733 \nL 330.711395 63.611633 \nL 327.195831 60.433849 \nL 322.450813 59.020499 \nL 316.630243 59.249682 \nL 309.92468 60.921417 \nL 302.545576 63.787883 \nL 294.709571 67.583747 \nL 286.624819 72.051888 \nL 278.480444 76.961745 \nL 270.439601 82.119787 \nL 262.636031 87.373073 \nL 255.173424 92.607663 \nL 248.126951 97.743985 \nL 241.546123 102.730724 \nL 235.458419 107.538381 \nL 229.873122 112.153473 \nL 224.785052 116.57359 \nL 220.177981 120.803449 \nL 216.027621 124.851967 \nL 212.304141 128.730139 \nL 208.974233 132.449619 \nL 206.00275 136.021793 \nL 203.353983 139.457244 \nL 200.992611 142.765493 \nL 198.884386 145.954864 \nL 195.298432 152.004567 \nL 192.357503 157.651048 \nL 188.712579 165.427495 \nL 185.490176 172.41605 \nL 183.349268 176.641603 \nL 181.079048 180.508791 \nL 179.862367 182.301245 \nL 178.574323 183.994217 \nL 177.20233 185.582329 \nL 175.733774 187.058941 \nL 174.155908 188.415956 \nL 172.455759 189.643598 \nL 170.620077 190.730157 \nL 168.6353 191.661695 \nL 166.48757 192.421732 \nL 164.162777 192.9909 \nL 161.646682 193.346567 \nL 158.925107 193.462474 \nL 155.984217 193.30838 \nL 152.810898 192.849761 \nL 149.393307 192.047612 \nL 145.721557 190.858427 \nL 141.788623 189.234438 \nL 137.591444 187.124269 \nL 133.132285 184.474121 \nL 128.42035 181.229665 \nL 123.473627 177.338872 \nL 118.320944 172.755901 \nL 113.004096 167.446199 \nL 107.579908 161.392793 \nL 102.121987 154.603538 \nL 96.721836 147.118918 \nL 91.488917 139.019355 \nL 86.549222 130.430962 \nL 82.041977 121.528026 \nL 78.114185 112.530679 \nL 74.913043 103.696473 \nL 72.576532 95.305418 \nL 71.22308 87.639362 \nL 70.941325 80.957934 \nL 71.78157 75.474776 \nL 73.750062 71.337932 \nL 76.807228 68.618035 \nL 80.870171 67.306225 \nL 85.81905 67.321611 \nL 91.506414 68.526408 \nL 97.768122 70.745322 \nL 104.434355 73.785626 \nL 111.339549 77.45492 \nL 118.330388 81.574732 \nL 125.271429 85.989271 \nL 132.048419 90.569649 \nL 138.569488 95.214365 \nL 144.764752 99.847408 \nL 150.584716 104.414783 \nL 155.997972 108.880532 \nL 160.988534 113.222705 \nL 165.553103 117.429781 \nL 169.698437 121.497599 \nL 173.438968 125.426962 \nL 176.794712 129.221764 \nL 179.789482 132.887661 \nL 182.449427 136.43112 \nL 184.801854 139.858802 \nL 186.874295 143.177174 \nL 188.693816 146.392293 \nL 190.286491 149.50969 \nL 191.677055 152.53437 \nL 192.888659 155.47079 \nL 194.858988 161.094422 \nL 196.347898 166.40773 \nL 197.478689 171.432772 \nL 198.350337 176.188041 \nL 199.338749 182.849539 \nL 201.834099 201.478916 \nL 202.767902 206.124445 \nL 203.524563 209.001934 \nL 204.424848 211.707746 \nL 205.505371 214.24204 \nL 206.809615 216.600839 \nL 208.389961 218.774294 \nL 210.309995 220.744032 \nL 211.420961 221.643505 \nL 212.647105 222.479234 \nL 214.000733 223.244465 \nL 215.495388 223.9308 \nL 217.145942 224.527838 \nL 218.968685 225.022757 \nL 220.981401 225.399819 \nL 223.203417 225.639766 \nL 225.655626 225.719124 \nL 228.360435 225.609389 \nL 231.341668 225.276097 \nL 234.62432 224.677796 \nL 238.234196 223.764929 \nL 242.19732 222.478689 \nL 246.539073 220.749945 \nL 251.282976 218.498389 \nL 256.449024 215.632143 \nL 262.051433 212.048161 \nL 268.095753 207.633924 \nL 274.575175 202.271013 \nL 281.466077 195.841334 \nL 288.722801 188.236745 \nL 296.271968 179.372791 \nL 304.006694 169.206739 \nL 311.781652 157.759266 \nL 319.410038 145.13797 \nL 326.663997 131.558628 \nL 333.28009 117.358764 \nL 338.97118 102.996563 \nL 343.445204 89.029097 \nL 346.429894 76.067099 \nL 347.700694 64.709722 \nL 347.107445 55.469893 \nL 344.594706 48.706309 \nL 340.211248 44.578861 \nL 334.106328 43.038041 \nL 326.513545 43.849863 \nL 317.725603 46.647169 \nL 308.065106 50.992815 \nL 297.856384 56.439823 \nL 287.402333 62.577919 \nL 276.968235 69.062124 \nL 266.772748 75.624349 \nL 247.727872 88.278589 \nL 231.086089 99.714139 \nL 217.094149 109.747363 \nL 211.06369 114.26924 \nL 205.632167 118.494142 \nL 200.755319 122.448986 \nL 196.384324 126.159538 \nL 192.468258 129.649137 \nL 185.797138 136.043379 \nL 180.35 141.75571 \nL 168.059976 155.386751 \nL 164.451039 158.79054 \nL 162.625295 160.262994 \nL 160.759421 161.57288 \nL 158.836314 162.711167 \nL 156.840629 163.667319 \nL 154.758717 164.429318 \nL 152.57862 164.983626 \nL 150.290122 165.315248 \nL 147.884856 165.407774 \nL 145.356471 165.243561 \nL 142.700877 164.80396 \nL 139.916559 164.06968 \nL 137.004956 163.021308 \nL 133.970916 161.640003 \nL 130.823179 159.908408 \nL 127.574931 157.811778 \nL 124.244348 155.339378 \nL 120.855109 152.486088 \nL 117.436823 149.254214 \nL 114.025345 145.655382 \nL 110.662827 141.712422 \nL 107.397481 137.461044 \nL 104.282985 132.95108 \nL 101.377409 128.24702 \nL 98.741647 123.427604 \nL 96.437364 118.584267 \nL 94.524495 113.818223 \nL 93.05844 109.2364 \nL 92.08707 104.946241 \nL 91.647893 101.049928 \nL 91.765539 97.638522 \nL 92.449907 94.786658 \nL 93.695101 92.548377 \nL 95.479384 90.954759 \nL 97.766097 90.013285 \nL 100.505481 89.709143 \nL 103.637238 90.008194 \nL 107.093544 90.860912 \nL 110.802273 92.207053 \nL 114.69011 93.980251 \nL 118.6854 96.112265 \nL 122.720516 98.536479 \nL 126.733694 101.190526 \nL 130.670243 104.018019 \nL 134.483281 106.9695 \nL 138.133943 110.002696 \nL 141.591209 113.082307 \nL 144.83144 116.17942 \nL 147.837702 119.270781 \nL 150.598972 122.337944 \nL 153.109271 125.366441 \nL 155.366822 128.34502 \nL 157.373199 131.264906 \nL 159.132576 134.119249 \nL 160.651019 136.902594 \nL 161.935892 139.610473 \nL 162.99531 142.239068 \nL 163.837719 144.784925 \nL 164.471521 147.244771 \nL 164.904782 149.615287 \nL 165.144999 151.89299 \nL 165.198931 154.07407 \nL 165.072474 156.1543 \nL 164.770575 158.128913 \nL 164.297187 159.992476 \nL 163.655255 161.738806 \nL 162.84673 163.360824 \nL 161.872611 164.850453 \nL 160.733013 166.198498 \nL 159.427256 167.394501 \nL 157.95399 168.426636 \nL 156.311344 169.281583 \nL 154.497111 169.944406 \nL 152.50897 170.398503 \nL 150.344768 170.625523 \nL 148.002832 170.60542 \nL 145.482365 170.316531 \nL 142.783887 169.735776 \nL 139.909767 168.839034 \nL 136.864823 167.601686 \nL 133.65699 165.999389 \nL 130.298063 164.009131 \nL 126.804494 161.610628 \nL 123.198184 158.787985 \nL 119.50727 155.531789 \nL 115.766801 151.841416 \nL 112.019256 147.727565 \nL 108.314766 143.214806 \nL 104.710961 138.343921 \nL 101.272306 133.173632 \nL 98.068813 127.781489 \nL 95.174121 122.263378 \nL 92.66283 116.73144 \nL 90.607285 111.310171 \nL 89.073895 106.130772 \nL 88.119274 101.324053 \nL 87.78655 97.012576 \nL 88.102232 93.302827 \nL 89.074 90.278463 \nL 90.689636 87.995288 \nL 92.917343 86.478867 \nL 95.707355 85.7248 \nL 98.994729 85.701434 \nL 102.702953 86.354746 \nL 106.748049 87.614216 \nL 111.04273 89.39928 \nL 115.50029 91.625294 \nL 120.037949 94.208707 \nL 124.579488 97.070943 \nL 129.057108 100.141082 \nL 133.412543 103.357321 \nL 137.59748 106.667397 \nL 141.57346 110.028377 \nL 145.311333 113.405834 \nL 148.790428 116.772824 \nL 151.997536 120.108696 \nL 154.925835 123.397961 \nL 157.573778 126.629213 \nL 159.944042 129.794194 \nL 162.042552 132.886991 \nL 163.877606 135.903394 \nL 165.459104 138.840388 \nL 166.797906 141.695735 \nL 167.905279 144.467655 \nL 168.792444 147.15458 \nL 169.47023 149.754967 \nL 169.948783 152.267172 \nL 170.23736 154.6893 \nL 170.344171 157.019112 \nL 170.276274 159.253938 \nL 170.039506 161.390573 \nL 169.63845 163.425181 \nL 169.076428 165.353215 \nL 168.355512 167.169299 \nL 167.476566 168.867099 \nL 166.439295 170.439207 \nL 165.242314 171.876985 \nL 163.883239 173.170404 \nL 162.358804 174.307906 \nL 160.664982 175.276201 \nL 158.797159 176.060112 \nL 156.750343 176.642378 \nL 154.519402 177.003557 \nL 152.099377 177.12187 \nL 149.485842 176.973187 \nL 146.67536 176.53105 \nL 143.66602 175.766878 \nL 140.458077 174.650341 \nL 137.054697 173.149957 \nL 133.462813 171.234017 \nL 129.694094 168.871931 \nL 125.765993 166.03595 \nL 121.702838 162.703464 \nL 117.536907 158.859748 \nL 113.309432 154.501194 \nL 109.071334 149.638912 \nL 104.883619 144.302323 \nL 100.817235 138.542543 \nL 96.95219 132.434941 \nL 93.375806 126.080283 \nL 90.18 119.603905 \nL 87.457559 113.152415 \nL 85.29757 106.887585 \nL 83.780286 100.977763 \nL 82.971813 95.587266 \nL 82.919209 90.864988 \nL 83.646567 86.933711 \nL 85.152569 83.881389 \nL 87.409892 81.755843 \nL 90.366584 80.563543 \nL 93.949207 80.272319 \nL 98.067439 80.817469 \nL 102.619503 82.110085 \nL 107.497931 84.046195 \nL 112.594975 86.515706 \nL 117.807347 89.409939 \nL 123.039949 92.627355 \nL 128.208509 96.077455 \nL 133.24113 99.682679 \nL 138.078846 103.378936 \nL 142.675458 107.114998 \nL 146.996753 110.851232 \nL 151.019342 114.557919 \nL 154.729275 118.213529 \nL 158.120568 121.803041 \nL 161.193742 125.316427 \nL 163.954458 128.747381 \nL 166.412245 132.092277 \nL 168.579406 135.349363 \nL 170.470069 138.518086 \nL 172.099383 141.598664 \nL 173.482867 144.59171 \nL 174.635884 147.498009 \nL 175.573234 150.318326 \nL 176.308838 153.053312 \nL 176.855502 155.703379 \nL 177.224759 158.268669 \nL 177.426761 160.748992 \nL 177.470212 163.143774 \nL 177.362337 165.451999 \nL 177.108878 167.672196 \nL 176.7141 169.802315 \nL 176.180827 171.839716 \nL 175.510474 173.781032 \nL 174.703086 175.622089 \nL 173.757386 177.357789 \nL 172.670831 178.981979 \nL 171.43967 180.487252 \nL 170.059002 181.864816 \nL 168.522865 183.104245 \nL 166.824308 184.193283 \nL 164.955524 185.117568 \nL 162.907973 185.860378 \nL 160.672571 186.402356 \nL 158.239918 186.721224 \nL 155.600593 186.791527 \nL 152.745527 186.584429 \nL 149.666488 186.067582 \nL 146.356672 185.205124 \nL 142.811446 183.957915 \nL 139.029245 182.284022 \nL 135.012655 180.139622 \nL 130.769672 177.480427 \nL 126.315145 174.263739 \nL 121.672351 170.451283 \nL 116.874656 166.012909 \nL 111.967124 160.931117 \nL 107.007972 155.206396 \nL 102.069562 148.862971 \nL 97.238744 141.954513 \nL 92.616164 134.569012 \nL 88.314309 126.831748 \nL 84.454023 118.905306 \nL 81.159369 110.985572 \nL 78.551019 103.293117 \nL 76.738591 96.060021 \nL 75.81253 89.51322 \nL 75.836607 83.856224 \nL 76.841905 79.252001 \nL 78.823281 75.809689 \nL 81.738805 73.577246 \nL 85.512404 72.541197 \nL 90.039261 72.633073 \nL 95.193294 73.741076 \nL 100.835659 75.724511 \nL 106.823291 78.428659 \nL 113.016615 81.698031 \nL 119.285774 85.38671 \nL 125.515132 89.365197 \nL 131.606053 93.524106 \nL 137.478024 97.775025 \nL 143.068546 102.04952 \nL 148.332033 106.29686 \nL 153.238126 110.481202 \nL 157.769643 114.578634 \nL 161.920416 118.574421 \nL 165.693173 122.460602 \nL 169.097563 126.234028 \nL 172.148388 129.894787 \nL 174.864081 133.445011 \nL 177.265412 136.88805 \nL 179.374427 140.227836 \nL 181.213609 143.468503 \nL 182.805208 146.614127 \nL 184.170741 149.668555 \nL 185.330632 152.635364 \nL 186.303945 155.5178 \nL 187.108231 158.318789 \nL 187.759424 161.040944 \nL 188.658036 166.257841 \nL 189.094505 171.184137 \nL 189.138658 175.831838 \nL 188.837538 180.209567 \nL 188.217683 184.322419 \nL 187.287149 188.171364 \nL 186.037023 191.75214 \nL 185.284926 193.438778 \nL 184.442339 195.053471 \nL 183.503683 196.593291 \nL 182.462383 198.054487 \nL 181.310852 199.432334 \nL 180.040465 200.720949 \nL 178.641542 201.913092 \nL 177.103318 202.999891 \nL 175.413929 203.970577 \nL 173.560409 204.812119 \nL 171.528699 205.508838 \nL 169.303697 206.041961 \nL 166.869333 206.389093 \nL 164.208719 206.523687 \nL 161.304368 206.414416 \nL 158.138516 206.02458 \nL 154.693598 205.311494 \nL 150.952869 204.225992 \nL 146.901289 202.712088 \nL 142.526637 200.706965 \nL 137.820989 198.141464 \nL 132.782532 194.941296 \nL 127.417834 191.029295 \nL 121.744486 186.329082 \nL 115.794165 180.770439 \nL 109.615923 174.296702 \nL 103.279501 166.874334 \nL 96.878331 158.504378 \nL 90.531563 149.235096 \nL 84.384589 139.17423 \nL 78.607162 128.498698 \nL 73.388429 117.458764 \nL 68.928371 106.373542 \nL 65.425651 95.615665 \nL 63.062655 85.584355 \nL 61.989233 76.669296 \nL 62.307413 69.210472 \nL 64.059566 63.461102 \nL 67.222315 59.561459 \nL 71.707321 57.528765 \nL 77.369029 57.264792 \nL 84.017847 58.578305 \nL 91.436646 61.216679 \nL 99.397895 64.899541 \nL 107.679179 69.34864 \nL 116.075554 74.310128 \nL 124.408034 79.568141 \nL 132.528247 84.950333 \nL 140.31975 90.327262 \nL 147.696898 95.607857 \nL 154.601994 100.732907 \nL 161.001553 105.668072 \nL 166.882204 110.397287 \nL 172.246641 114.917212 \nL 177.109903 119.232737 \nL 181.496098 123.353593 \nL 185.435632 127.291931 \nL 188.962935 131.060688 \nL 192.114646 134.672513 \nL 194.928206 138.139148 \nL 197.440803 141.471088 \nL 199.688602 144.6775 \nL 203.526402 150.743699 \nL 206.694977 156.385578 \nL 210.665188 164.116594 \nL 214.228253 171.007131 \nL 216.621551 175.130311 \nL 219.174616 178.856661 \nL 220.546596 180.561024 \nL 222.000388 182.151964 \nL 223.549384 183.622179 \nL 225.206915 184.962828 \nL 226.986339 186.163309 \nL 228.901079 187.211021 \nL 230.964655 188.091085 \nL 233.190639 188.786043 \nL 235.592586 189.275553 \nL 238.183866 189.536077 \nL 240.977445 189.540584 \nL 243.985549 189.258297 \nL 247.219216 188.65453 \nL 250.687703 187.690671 \nL 254.397725 186.324398 \nL 258.352511 184.510189 \nL 262.550653 182.200313 \nL 266.984735 179.346372 \nL 271.639763 175.901592 \nL 276.491421 171.824024 \nL 281.504243 167.080667 \nL 286.629797 161.652652 \nL 291.805109 155.541252 \nL 296.951545 148.774454 \nL 301.974518 141.413381 \nL 306.764315 133.557679 \nL 311.198433 125.348625 \nL 315.145691 116.968698 \nL 318.472182 108.636375 \nL 321.048857 100.595524 \nL 322.760265 93.099671 \nL 323.51358 86.39256 \nL 323.246759 80.687473 \nL 321.934784 76.148449 \nL 319.592856 72.876704 \nL 316.276174 70.90433 \nL 312.076063 70.196325 \nL 307.11321 70.659933 \nL 301.528826 72.159207 \nL 295.475021 74.532001 \nL 289.105502 77.606407 \nL 282.567481 81.21475 \nL 275.995426 85.203819 \nL 269.506804 89.441113 \nL 263.199776 93.817531 \nL 257.152556 98.247302 \nL 251.424069 102.665994 \nL 246.055516 107.027542 \nL 241.072465 111.300851 \nL 236.487217 115.466497 \nL 232.301188 119.51379 \nL 228.50719 123.438244 \nL 225.091492 127.23963 \nL 222.035628 130.920415 \nL 219.317935 134.484657 \nL 216.914834 137.937235 \nL 214.801843 141.283308 \nL 212.954396 144.527975 \nL 211.348451 147.676067 \nL 209.960945 150.732074 \nL 208.770122 153.700089 \nL 207.755735 156.583807 \nL 206.89917 159.386566 \nL 205.593523 164.76094 \nL 204.737934 169.843957 \nL 204.242614 174.652838 \nL 204.040658 179.202138 \nL 204.085085 183.504267 \nL 204.346034 187.569721 \nL 204.808388 191.407094 \nL 205.469973 195.022794 \nL 206.340373 198.420541 \nL 207.440376 201.600506 \nL 208.802008 204.558073 \nL 210.46915 207.281907 \nL 211.434508 208.550138 \nL 212.498662 209.751188 \nL 213.671008 210.880303 \nL 214.961971 211.931532 \nL 216.383068 212.897492 \nL 217.946972 213.769068 \nL 219.66757 214.535101 \nL 221.560007 215.181964 \nL 223.640715 215.693094 \nL 225.927412 216.04845 \nL 228.439057 216.223882 \nL 231.195741 216.190421 \nL 234.218493 215.913483 \nL 237.528976 215.352047 \nL 241.149004 214.457788 \nL 245.099882 213.174282 \nL 249.401452 211.436357 \nL 254.070817 209.169793 \nL 259.120646 206.291548 \nL 264.556998 202.710887 \nL 270.376585 198.33178 \nL 276.563425 193.057099 \nL 283.084974 186.79513 \nL 289.887774 179.468915 \nL 296.89297 171.028707 \nL 303.992174 161.467302 \nL 311.044402 150.837365 \nL 317.875046 139.268613 \nL 324.278046 126.98156 \nL 330.022382 114.2934 \nL 334.863522 101.611306 \nL 338.559928 89.409786 \nL 340.893372 78.191362 \nL 341.690627 68.434723 \nL 340.843264 60.538987 \nL 338.32174 54.775456 \nL 334.180952 51.257917 \nL 328.555839 49.938051 \nL 321.647978 50.625732 \nL 313.705641 53.027747 \nL 305.001042 56.794658 \nL 295.808429 61.565811 \nL 286.385704 67.004935 \nL 276.961272 72.82314 \nL 267.726279 78.789522 \nL 258.831741 84.731982 \nL 250.389391 90.531433 \nL 242.475069 96.112801 \nL 235.133529 101.435027 \nL 228.383799 106.481713 \nL 222.224461 111.253124 \nL 216.638515 115.75994 \nL 211.597616 120.018581 \nL 207.065626 124.047915 \nL 203.00149 127.867088 \nL 199.361496 131.494185 \nL 196.101018 134.945491 \nL 193.175789 138.235157 \nL 188.161042 144.375014 \nL 183.998315 149.984044 \nL 174.017046 163.917389 \nL 170.839926 167.584597 \nL 169.186708 169.217341 \nL 167.467574 170.706549 \nL 165.666731 172.043102 \nL 163.76931 173.216218 \nL 161.761298 174.213304 \nL 159.629539 175.019796 \nL 157.36175 175.619027 \nL 154.946638 175.992109 \nL 152.374059 176.117838 \nL 149.635269 175.972685 \nL 146.723275 175.530874 \nL 143.633267 174.764587 \nL 140.363175 173.644376 \nL 136.914332 172.139801 \nL 133.292266 170.220406 \nL 129.507584 167.857038 \nL 125.576936 165.023622 \nL 121.524047 161.699413 \nL 117.380705 157.871762 \nL 113.187654 153.539234 \nL 108.995238 148.715091 \nL 104.863714 143.430756 \nL 100.862982 137.738968 \nL 97.071626 131.716085 \nL 93.575096 125.462996 \nL 90.462975 119.104052 \nL 87.825252 112.78361 \nL 85.747883 106.659934 \nL 84.307736 100.896699 \nL 83.567534 95.652733 \nL 83.571187 91.071091 \nL 84.340094 87.268893 \nL 85.870947 84.32919 \nL 88.13529 82.296171 \nL 91.080951 81.17416 \nL 94.635186 80.930472 \nL 98.709167 81.501362 \nL 103.203243 82.800063 \nL 108.012464 84.725609 \nL 113.031818 87.171237 \nL 118.16074 90.031675 \nL 123.306695 93.208578 \nL 128.387691 96.614147 \nL 133.333718 100.173079 \nL 138.087346 103.822977 \nL 142.603514 107.513828 \nL 146.848779 111.206765 \nL 150.800205 114.872509 \nL 154.444026 118.489702 \nL 157.774223 122.043304 \nL 160.791104 125.523134 \nL 163.499985 128.922655 \nL 165.909962 132.237966 \nL 168.032846 135.467007 \nL 169.882232 138.608928 \nL 171.472721 141.663633 \nL 172.819284 144.631457 \nL 173.936746 147.512888 \nL 174.839383 150.308423 \nL 175.54061 153.018426 \nL 176.052755 155.64305 \nL 176.386897 158.182152 \nL 176.552754 160.635243 \nL 176.558623 163.001453 \nL 176.41134 165.279433 \nL 176.116278 167.467346 \nL 175.677359 169.562741 \nL 175.097077 171.562529 \nL 174.376534 173.462853 \nL 173.515485 175.258987 \nL 172.512388 176.945209 \nL 171.364462 178.514658 \nL 170.067751 179.959143 \nL 168.617194 181.268991 \nL 167.006715 182.432797 \nL 165.229337 183.437216 \nL 163.277305 184.266711 \nL 161.142256 184.903283 \nL 158.815433 185.326212 \nL 156.28795 185.511815 \nL 153.551132 185.433225 \nL 150.596958 185.060253 \nL 147.418592 184.359353 \nL 144.011051 183.293781 \nL 140.372025 181.823968 \nL 136.502852 179.908277 \nL 132.409674 177.504167 \nL 128.104748 174.569976 \nL 123.607924 171.067335 \nL 118.948202 166.964411 \nL 114.165287 162.239951 \nL 109.311034 156.888072 \nL 104.450575 150.923605 \nL 99.662869 144.387568 \nL 95.040435 137.352137 \nL 90.68796 129.924229 \nL 86.719521 122.246671 \nL 83.254308 114.495963 \nL 80.410854 106.875864 \nL 78.300077 99.60661 \nL 77.017662 92.91035 \nL 76.636579 86.99426 \nL 77.200691 82.033672 \nL 78.720277 78.157624 \nL 81.170253 75.439277 \nL 84.491367 73.892639 \nL 88.594209 73.475916 \nL 93.365516 74.100389 \nL 98.675939 75.643084 \nL 104.388234 77.960878 \nL 110.365072 80.903834 \nL 116.475695 84.326492 \nL 122.601048 88.095986 \nL 128.637226 92.096997 \nL 134.497296 96.233899 \nL 140.11181 100.430679 \nL 145.428178 104.629374 \nL 150.409342 108.787623 \nL 155.031979 112.875965 \nL 159.284467 116.87511 \nL 163.164828 120.773471 \nL 166.678768 124.565106 \nL 169.837858 128.247996 \nL 172.657949 131.822725 \nL 175.157809 135.291532 \nL 177.35798 138.657555 \nL 179.27985 141.924382 \nL 180.944922 145.095697 \nL 182.374232 148.175089 \nL 183.587933 151.165925 \nL 184.604977 154.071305 \nL 185.442913 156.894024 \nL 186.117747 159.636569 \nL 186.643876 162.301151 \nL 187.034063 164.889693 \nL 187.449577 169.845047 \nL 187.434665 174.512986 \nL 187.036133 178.899863 \nL 186.27925 183.007657 \nL 185.169606 186.833088 \nL 184.47923 188.637082 \nL 183.694551 190.366041 \nL 182.811283 192.017247 \nL 181.824082 193.587198 \nL 180.726545 195.071483 \nL 179.511207 196.464601 \nL 178.169533 197.75978 \nL 176.691909 198.948746 \nL 175.067641 200.021461 \nL 173.28496 200.9658 \nL 171.331049 201.767217 \nL 169.192083 202.408324 \nL 166.853325 202.86845 \nL 164.299253 203.123132 \nL 161.513768 203.143594 \nL 158.480501 202.896198 \nL 155.183215 202.341919 \nL 151.606396 201.435887 \nL 147.736011 200.127091 \nL 143.560514 198.358347 \nL 139.072141 196.066674 \nL 134.268512 193.184316 \nL 129.154622 189.640622 \nL 123.745173 185.365083 \nL 118.067269 180.291875 \nL 112.163363 174.366102 \nL 106.094225 167.551902 \nL 99.94172 159.842319 \nL 93.810892 151.270354 \nL 87.830792 141.920095 \nL 82.153368 131.936101 \nL 76.949822 121.528734 \nL 72.40385 110.972703 \nL 68.701686 100.596615 \nL 66.01933 90.762376 \nL 64.508171 81.835701 \nL 64.280656 74.15112 \nL 65.398287 67.977315 \nL 67.863962 63.489406 \nL 71.620105 60.753645 \nL 76.553073 59.727471 \nL 82.503084 60.273885 \nL 89.278 62.186303 \nL 96.668727 65.218092 \nL 104.464127 69.11121 \nL 112.463704 73.619595 \nL 120.487115 78.525338 \nL 128.380191 83.647345 \nL 136.0177 88.843719 \nL 143.30352 94.009626 \nL 150.16888 99.072463 \nL 156.569404 103.985841 \nL 162.481542 108.723562 \nL 167.89884 113.274087 \nL 172.828367 117.635951 \nL 177.287462 121.81416 \nL 181.300896 125.817458 \nL 184.898502 129.656428 \nL 188.113232 133.34217 \nL 190.979615 136.885495 \nL 193.532566 140.296441 \nL 195.806499 143.584003 \nL 197.834691 146.756094 \nL 201.278822 152.780115 \nL 204.095749 158.411287 \nL 207.572261 166.182834 \nL 211.631248 175.358805 \nL 213.6989 179.44308 \nL 215.935039 183.177152 \nL 217.147191 184.905451 \nL 218.438235 186.535482 \nL 219.820344 188.061528 \nL 221.305858 189.476552 \nL 222.907391 190.77199 \nL 224.637899 191.937518 \nL 226.51073 192.960759 \nL 228.539643 193.826987 \nL 230.738791 194.518774 \nL 233.122645 195.015618 \nL 235.70586 195.293542 \nL 238.50307 195.324697 \nL 241.528578 195.07698 \nL 244.795921 194.513707 \nL 248.317289 193.593408 \nL 252.10276 192.269829 \nL 256.159334 190.492201 \nL 260.489707 188.205982 \nL 265.090805 185.354214 \nL 269.952017 181.879637 \nL 275.053185 177.727886 \nL 280.362403 172.851815 \nL 285.833721 167.217199 \nL 291.404961 160.809694 \nL 296.995925 153.642803 \nL 302.507362 145.766261 \nL 307.821135 137.273743 \nL 312.802111 128.308507 \nL 317.302109 119.065156 \nL 321.16625 109.785789 \nL 324.241556 100.749307 \nL 326.387326 92.253632 \nL 327.486338 84.592207 \nL 327.455436 78.027742 \nL 326.25407 72.767299 \nL 323.889277 68.943188 \nL 320.416287 66.603196 \nL 315.934543 65.711631 \nL 310.579749 66.160351 \nL 304.513198 67.787152 \nL 297.909891 70.397357 \nL 290.947026 73.784995 \nL 283.794022 77.750565 \nL 276.60491 82.113778 \nL 269.51323 86.721025 \nL 262.629409 91.448259 \nL 256.040236 96.200256 \nL 249.809837 100.907684 \nL 243.981762 105.522987 \nL 238.581631 110.015977 \nL 233.620039 114.369651 \nL 229.095437 118.576517 \nL 224.996815 122.635627 \nL 221.306106 126.550226 \nL 218.000248 130.326064 \nL 215.052913 133.970125 \nL 212.435915 137.489836 \nL 210.120322 140.892525 \nL 208.077309 144.1851 \nL 206.278801 147.373907 \nL 204.697928 150.464646 \nL 203.309329 153.462419 \nL 201.016092 159.196575 \nL 199.231318 164.606583 \nL 197.81528 169.716324 \nL 196.138336 176.859122 \nL 192.91806 191.329833 \nL 191.90844 194.942367 \nL 190.767528 198.331909 \nL 189.445779 201.497498 \nL 187.889508 204.432674 \nL 186.038157 207.123368 \nL 184.980349 208.369797 \nL 183.821556 209.544711 \nL 182.551051 210.642557 \nL 181.157163 211.656431 \nL 179.627201 212.577801 \nL 177.947374 213.396202 \nL 176.102728 214.098834 \nL 174.077113 214.670149 \nL 171.853157 215.091312 \nL 169.412298 215.339617 \nL 166.734864 215.387809 \nL 163.800232 215.203339 \nL 160.587104 214.747548 \nL 157.073915 213.974842 \nL 153.239435 212.831891 \nL 149.063617 211.25695 \nL 144.528752 209.179466 \nL 139.621021 206.520133 \nL 134.33248 203.191738 \nL 128.663589 199.101114 \nL 122.626305 194.152715 \nL 116.247756 188.254298 \nL 109.574348 181.325205 \nL 102.676158 173.307654 \nL 95.651123 164.180894 \nL 88.62843 153.977726 \nL 81.770195 142.801499 \nL 75.270373 130.840921 \nL 69.349791 118.378546 \nL 64.246427 105.788453 \nL 60.200785 93.51915 \nL 57.436973 82.060195 \nL 56.141673 71.89487 \nL 56.443747 63.445965 \nL 58.398411 57.025199 \nL 61.978838 52.797493 \nL 67.07724 50.768015 \nL 73.515251 50.794309 \nL 81.061628 52.61887 \nL 89.453952 55.913197 \nL 98.420702 60.323181 \nL 107.700629 65.507536 \nL 117.057473 71.16459 \nL 126.289433 77.046808 \nL 135.233537 82.964582 \nL 143.766022 88.782672 \nL 151.79978 94.412227 \nL 159.280062 99.801269 \nL 166.179358 104.9252 \nL 172.49215 109.778517 \nL 178.229961 114.368053 \nL 183.416964 118.707872 \nL 188.086247 122.815571 \nL 192.276746 126.709779 \nL 196.030796 130.408572 \nL 199.392241 133.928531 \nL 202.405008 137.284258 \nL 207.554784 143.550801 \nL 211.801459 149.283302 \nL 223.308752 165.591545 \nL 224.869689 167.44241 \nL 226.471879 169.163059 \nL 228.132503 170.746813 \nL 229.867723 172.185528 \nL 231.692798 173.469465 \nL 233.622174 174.587151 \nL 235.66952 175.525228 \nL 237.847737 176.268263 \nL 240.168891 176.79863 \nL 242.64409 177.096361 \nL 245.283285 177.139084 \nL 248.094983 176.901998 \nL 251.085875 176.357957 \nL 254.260337 175.47775 \nL 257.619837 174.230546 \nL 261.162204 172.584607 \nL 264.880775 170.508377 \nL 268.763462 167.971974 \nL 272.791689 164.949122 \nL 276.939342 161.419652 \nL 281.171722 157.372464 \nL 285.444651 152.808954 \nL 289.703842 147.746682 \nL 293.884716 142.223002 \nL 297.912795 136.298215 \nL 301.704933 130.057737 \nL 305.171423 123.612562 \nL 308.219153 117.097575 \nL 310.755693 110.667155 \nL 312.694194 104.48802 \nL 313.958722 98.729665 \nL 314.489508 93.553213 \nL 314.247611 89.099922 \nL 313.218374 85.480997 \nL 311.413226 82.769961 \nL 308.869495 80.998848 \nL 305.648327 80.158493 \nL 301.830884 80.202795 \nL 297.513289 81.055857 \nL 292.800955 82.620942 \nL 287.802848 84.789737 \nL 282.626218 87.45096 \nL 277.372207 90.497312 \nL 272.132504 93.830506 \nL 266.987151 97.364387 \nL 262.003372 101.026275 \nL 257.235322 104.756949 \nL 252.724547 108.509746 \nL 248.50094 112.249062 \nL 244.584023 115.948591 \nL 240.984395 119.589581 \nL 237.705225 123.15922 \nL 234.743698 126.649163 \nL 232.092353 130.054378 \nL 229.740296 133.372157 \nL 227.674245 136.60138 \nL 225.879428 139.741943 \nL 224.340325 142.794332 \nL 223.041271 145.759343 \nL 221.96694 148.637846 \nL 221.102709 151.430654 \nL 220.434949 154.138399 \nL 219.951214 156.761463 \nL 219.640392 159.299953 \nL 219.49279 161.753599 \nL 219.500182 164.121751 \nL 219.655835 166.403319 \nL 219.954501 168.596695 \nL 220.392396 170.699726 \nL 220.967178 172.709619 \nL 221.677901 174.622841 \nL 222.524973 176.435021 \nL 223.510108 178.140839 \nL 224.636272 179.733864 \nL 225.907625 181.206394 \nL 227.329456 182.549259 \nL 228.908101 183.751615 \nL 230.650857 184.800715 \nL 232.565858 185.68163 \nL 234.661932 186.377 \nL 236.948409 186.866726 \nL 239.434887 187.127709 \nL 242.130904 187.133589 \nL 245.045553 186.85454 \nL 248.186978 186.257161 \nL 251.561734 185.30452 \nL 255.174018 183.956422 \nL 259.024714 182.169986 \nL 263.110271 179.900651 \nL 267.421374 177.103738 \nL 271.941463 173.736682 \nL 276.645109 169.762108 \nL 281.496328 165.151733 \nL 286.446947 159.891185 \nL 291.435228 153.985505 \nL 296.384969 147.465094 \nL 301.205367 140.39136 \nL 305.791921 132.861357 \nL 310.028799 125.010267 \nL 313.79271 117.01057 \nL 316.95846 109.066963 \nL 319.405971 101.406533 \nL 321.028228 94.264395 \nL 321.739448 87.866172 \nL 321.482446 82.409461 \nL 320.234226 78.047109 \nL 318.008887 74.874913 \nL 314.85742 72.925905 \nL 310.864277 72.171799 \nL 306.141328 72.531055 \nL 300.8199 73.881693 \nL 295.042042 76.076246 \nL 288.952024 78.956701 \nL 282.688819 82.367303 \nL 276.380242 86.164143 \nL 270.138812 90.221321 \nL 264.059409 94.433794 \nL 258.218499 98.717743 \nL 252.674525 103.009079 \nL 247.469226 107.260954 \nL 242.629461 111.440828 \nL 238.169346 115.527447 \nL 234.092444 119.508173 \nL 230.393878 123.376624 \nL 227.06228 127.130799 \nL 224.081513 130.771588 \nL 221.432155 134.301699 \nL 219.092734 137.724836 \nL 217.04074 141.04516 \nL 215.253421 144.266929 \nL 213.708413 147.394287 \nL 212.384201 150.431119 \nL 211.260454 153.381002 \nL 210.318256 156.24719 \nL 209.540249 159.032592 \nL 208.910711 161.739839 \nL 208.04243 166.928922 \nL 207.620391 171.830186 \nL 207.576208 176.455899 \nL 207.863884 180.815104 \nL 208.457465 184.913555 \nL 209.348993 188.753142 \nL 210.547001 192.330885 \nL 212.075601 195.63733 \nL 212.97559 197.183509 \nL 213.974216 198.654106 \nL 215.078843 200.04487 \nL 216.297854 201.35046 \nL 217.640674 202.564284 \nL 219.117804 203.678229 \nL 220.74084 204.682405 \nL 222.522494 205.564808 \nL 224.476592 206.310948 \nL 226.618054 206.90341 \nL 228.962827 207.321367 \nL 231.527788 207.54002 \nL 234.330555 207.530006 \nL 237.389221 207.256761 \nL 240.721951 206.679882 \nL 244.346437 205.75254 \nL 248.279123 204.421034 \nL 252.534201 202.624575 \nL 257.122289 200.295481 \nL 262.048729 197.360012 \nL 267.311513 193.74013 \nL 272.898719 189.356478 \nL 278.785584 184.133026 \nL 284.931184 178.003657 \nL 291.274991 170.921005 \nL 297.733549 162.867409 \nL 304.197816 153.867584 \nL 310.531765 144.00177 \nL 316.573075 133.417387 \nL 322.136652 122.336432 \nL 327.021733 111.055326 \nL 331.022775 99.934347 \nL 333.943757 89.374995 \nL 335.614624 79.786282 \nL 335.907832 71.544054 \nL 334.752433 64.950138 \nL 332.143188 60.199481 \nL 328.142863 57.362122 \nL 322.877138 56.383542 \nL 316.523114 57.102206 \nL 309.293331 59.279402 \nL 301.418061 62.634105 \nL 293.128359 66.87624 \nL 284.641889 71.733126 \nL 276.152572 76.967122 \nL 267.824297 82.384315 \nL 259.788351 87.836012 \nL 252.143736 93.215276 \nL 244.95955 98.450669 \nL 238.278569 103.499048 \nL 232.121423 108.338443 \nL 226.490799 112.961879 \nL 221.37543 117.372304 \nL 216.753629 121.57872 \nL 212.596318 125.593327 \nL 208.869546 129.429561 \nL 205.536509 133.100826 \nL 202.559128 136.619704 \nL 199.899246 139.997553 \nL 197.519508 143.244315 \nL 193.458542 149.377168 \nL 190.11189 155.070333 \nL 185.936172 162.85476 \nL 182.214541 169.773007 \nL 179.729585 173.899699 \nL 177.089732 177.615906 \nL 175.674884 179.309362 \nL 174.178043 180.885039 \nL 172.585511 182.335218 \nL 170.883729 183.650587 \nL 169.059207 184.820029 \nL 167.098471 185.830371 \nL 164.988063 186.666129 \nL 162.714585 187.309212 \nL 160.264796 187.738647 \nL 157.625801 187.930273 \nL 154.785283 187.856506 \nL 151.731896 187.486132 \nL 148.455723 186.784227 \nL 144.948928 185.71224 \nL 141.206531 184.228328 \nL 137.227408 182.288041 \nL 133.015457 179.845489 \nL 128.580977 176.855084 \nL 123.942234 173.274088 \nL 119.127115 169.065949 \nL 114.174885 164.204642 \nL 109.137791 158.679824 \nL 104.082402 152.502737 \nL 99.090347 145.712352 \nL 94.258219 138.381076 \nL 89.696223 130.619087 \nL 85.52537 122.576054 \nL 81.872955 114.439203 \nL 78.866336 106.426608 \nL 76.625362 98.775555 \nL 75.253966 91.726508 \nL 74.831846 85.504229 \nL 75.407297 80.298881 \nL 76.992193 76.249702 \nL 79.559969 73.434294 \nL 83.046892 71.865055 \nL 87.356564 71.493093 \nL 92.366946 72.218531 \nL 97.938974 73.904887 \nL 103.925614 76.394893 \nL 110.180384 79.525428 \nL 116.564578 83.13976 \nL 122.9527 87.096221 \nL 129.236054 91.273272 \nL 135.324523 95.571401 \nL 141.146903 99.912665 \nL 146.650091 104.238677 \nL 151.797482 108.507727 \nL 156.566939 112.691648 \nL 160.948546 116.772804 \nL 164.942354 120.741407 \nL 168.556276 124.593266 \nL 171.804158 128.328017 \nL 174.704102 131.947746 \nL 177.277058 135.455984 \nL 179.545633 138.857027 \nL 181.533155 142.155421 \nL 183.262924 145.355699 \nL 184.757647 148.46216 \nL 186.03902 151.478802 \nL 187.127435 154.40929 \nL 188.041781 157.256925 \nL 188.799334 160.024673 \nL 189.904841 165.330949 \nL 190.549013 170.346375 \nL 190.811673 175.085694 \nL 190.749688 179.560676 \nL 190.399538 183.78034 \nL 189.779677 187.750804 \nL 188.892429 191.474747 \nL 187.725273 194.950462 \nL 186.251487 198.170347 \nL 185.387392 199.67984 \nL 184.430169 201.118684 \nL 183.372399 202.48312 \nL 182.205682 203.768392 \nL 180.920596 204.968572 \nL 179.506662 206.076331 \nL 177.952299 207.082678 \nL 176.244795 207.976655 \nL 174.370286 208.74495 \nL 172.313747 209.371495 \nL 170.059029 209.836964 \nL 167.588919 210.118223 \nL 164.88528 210.187709 \nL 161.929258 210.012765 \nL 158.701602 209.554945 \nL 155.183142 208.769326 \nL 151.355438 207.603879 \nL 147.201684 205.999061 \nL 142.707901 203.887677 \nL 137.864483 201.195299 \nL 132.668177 197.841476 \nL 127.124513 193.742063 \nL 121.250711 188.813117 \nL 115.079066 182.976722 \nL 108.660602 176.169125 \nL 102.068797 168.35138 \nL 95.402987 159.522217 \nL 88.790749 149.732319 \nL 82.38857 139.098324 \nL 76.379813 127.813887 \nL 70.969153 116.154322 \nL 66.372935 104.471275 \nL 62.805491 93.174668 \nL 60.462204 82.701412 \nL 59.50132 73.473658 \nL 60.02707 65.853128 \nL 62.076986 60.100007 \nL 65.616001 56.345459 \nL 70.538516 54.583245 \nL 76.678121 54.681724 \nL 83.823259 56.412113 \nL 91.736004 59.48562 \nL 100.171025 63.591386 \nL 108.892185 68.428638 \nL 117.685317 73.72946 \nL 126.366472 79.271482 \nL 134.785961 84.881689 \nL 142.828898 90.434065 \nL 150.413218 95.84324 \nL 157.486091 101.05674 \nL 164.019557 106.046981 \nL 170.005948 110.804174 \nL 175.453535 115.330415 \nL 180.38257 119.635108 \nL 184.821912 123.731602 \nL 188.806192 127.634862 \nL 192.373542 131.359911 \nL 195.563804 134.9209 \nL 198.417168 138.330593 \nL 200.973174 141.600128 \nL 205.343971 147.755045 \nL 208.958018 153.442938 \nL 214.867224 163.542126 \nL 217.554278 167.973313 \nL 220.278344 171.980391 \nL 221.697442 173.816693 \nL 223.175785 175.53495 \nL 224.728425 177.128693 \nL 226.369904 178.590018 \nL 228.114364 179.909435 \nL 229.975632 181.075652 \nL 231.967264 182.075388 \nL 234.102543 182.893104 \nL 236.394433 183.510793 \nL 238.855463 183.907719 \nL 241.497545 184.060216 \nL 244.33171 183.941505 \nL 247.367731 183.52161 \nL 250.613624 182.76738 \nL 254.07503 181.642724 \nL 257.754431 180.10908 \nL 261.650207 178.126266 \nL 265.755525 175.65377 \nL 270.057071 172.65261 \nL 274.533641 169.087899 \nL 279.154693 164.932119 \nL 283.878895 160.169166 \nL 288.65287 154.799049 \nL 293.410276 148.843002 \nL 298.071503 142.348578 \nL 302.544226 135.394019 \nL 306.725075 128.091094 \nL 310.502652 120.585433 \nL 313.761979 113.053439 \nL 316.390274 105.695247 \nL 318.28376 98.723637 \nL 319.354904 92.349699 \nL 319.539357 86.766762 \nL 318.801644 82.134848 \nL 317.138927 78.56786 \nL 314.582108 76.125715 \nL 311.194179 74.812393 \nL 307.06595 74.58011 \nL 302.309788 75.338407 \nL 297.052117 76.966338 \nL 291.425687 79.325697 \nL 285.562281 82.273418 \nL 279.586647 85.671695 \nL 273.611802 89.39528 \nL 267.735999 93.335761 \nL 262.041135 97.403369 \nL 256.592427 101.526769 \nL 251.439057 105.651462 \nL 246.615511 109.737517 \nL 242.143308 113.757005 \nL 238.032926 117.691487 \nL 234.285763 121.52972 \nL 230.896004 125.265734 \nL 227.852325 128.897261 \nL 225.139395 132.424492 \nL 222.739175 135.849198 \nL 220.631983 139.174048 \nL 218.797387 142.402123 \nL 217.214894 145.536657 \nL 215.864495 148.580789 \nL 214.727071 151.537485 \nL 213.784693 154.409453 \nL 213.02082 157.199122 \nL 212.420425 159.908628 \nL 211.970071 162.539816 \nL 211.657935 165.094256 \nL 211.473797 167.573239 \nL 211.456492 172.308587 \nL 211.86708 176.750501 \nL 212.677209 180.898531 \nL 213.229018 182.860543 \nL 213.879496 184.746007 \nL 214.630757 186.55281 \nL 215.486069 188.278176 \nL 216.449828 189.918546 \nL 217.527549 191.469437 \nL 218.725852 192.925299 \nL 220.052455 194.279319 \nL 221.516165 195.523198 \nL 223.12687 196.646907 \nL 224.895505 197.638386 \nL 226.834022 198.483214 \nL 228.955323 199.164232 \nL 231.273157 199.661114 \nL 233.80197 199.949922 \nL 236.556675 200.002625 \nL 239.552362 199.786609 \nL 242.803847 199.264241 \nL 246.325114 198.392482 \nL 250.128553 197.122706 \nL 254.223981 195.400742 \nL 258.617399 193.167375 \nL 263.309446 190.359401 \nL 268.293554 186.911558 \nL 273.553731 182.759496 \nL 279.062117 177.844113 \nL 284.776291 172.11743 \nL 290.636598 165.550104 \nL 296.563744 158.140405 \nL 302.457035 149.924127 \nL 308.193855 140.984381 \nL 313.630855 131.45971 \nL 318.607536 121.548369 \nL 322.952551 111.506496 \nL 326.492843 101.638375 \nL 329.065248 92.27784 \nL 330.529464 83.761879 \nL 330.780943 76.399582 \nL 329.761695 70.441333 \nL 327.467304 66.053873 \nL 323.948803 63.306171 \nL 319.308986 62.16843 \nL 313.693773 62.523934 \nL 307.280019 64.19033 \nL 300.26167 66.945592 \nL 292.83616 70.553686 \nL 285.192619 74.786137 \nL 277.502811 79.437552 \nL 269.915201 84.334415 \nL 262.55191 89.338291 \nL 255.508153 94.344616 \nL 248.853524 99.278987 \nL 242.634451 104.091993 \nL 236.877369 108.753817 \nL 231.592067 113.249238 \nL 226.77502 117.573355 \nL 222.412433 121.728092 \nL 218.482945 125.719602 \nL 214.959923 129.556323 \nL 211.813359 133.247653 \nL 209.011402 136.803063 \nL 206.521546 140.231596 \nL 204.311539 143.541539 \nL 202.350046 146.740325 \nL 200.60711 149.83448 \nL 197.665655 155.730821 \nL 195.283509 161.267016 \nL 193.28716 166.469552 \nL 188.264901 180.23057 \nL 186.558374 184.223319 \nL 184.687088 187.913385 \nL 182.568755 191.2848 \nL 181.390895 192.8428 \nL 180.119475 194.309407 \nL 178.743147 195.678474 \nL 177.25003 196.942437 \nL 175.627634 198.092087 \nL 173.862806 199.11627 \nL 171.941682 200.001577 \nL 169.849685 200.731953 \nL 167.571558 201.288289 \nL 165.091445 201.647956 \nL 162.393041 201.784311 \nL 159.459821 201.66617 \nL 156.275399 201.257307 \nL 152.824002 200.515999 \nL 149.091151 199.394701 \nL 145.064532 197.839911 \nL 140.73513 195.792425 \nL 136.098689 193.188095 \nL 131.157469 189.95935 \nL 125.92239 186.037728 \nL 120.415485 181.3577 \nL 114.672662 175.862094 \nL 108.746557 169.509196 \nL 102.709273 162.281641 \nL 96.654671 154.196613 \nL 90.699609 145.316555 \nL 84.983637 135.758949 \nL 79.666463 125.703068 \nL 74.922592 115.391279 \nL 70.932955 105.122558 \nL 67.873626 95.236679 \nL 65.902522 86.089184 \nL 65.145426 78.019666 \nL 65.683377 71.317991 \nL 67.543399 66.194433 \nL 70.694279 62.759642 \nL 75.048275 61.018249 \nL 80.468453 60.876867 \nL 86.780496 62.163894 \nL 93.787018 64.656216 \nL 101.282287 68.107426 \nL 109.065493 72.27267 \nL 116.951386 76.927452 \nL 124.777582 81.879161 \nL 132.40869 86.972119 \nL 139.737597 92.087467 \nL 146.684613 97.139663 \nL 153.195136 102.071241 \nL 159.236459 106.846967 \nL 164.794238 111.448348 \nL 169.868947 115.868752 \nL 174.472575 120.109538 \nL 178.625688 124.177002 \nL 182.354907 128.080167 \nL 185.690814 131.829241 \nL 188.666263 135.434599 \nL 191.31506 138.906161 \nL 193.670947 142.253018 \nL 195.766863 145.483304 \nL 197.634413 148.604127 \nL 200.802274 154.541009 \nL 203.391027 160.102436 \nL 206.586087 167.797437 \nL 210.32308 176.923067 \nL 212.231329 181.00786 \nL 214.298886 184.763962 \nL 215.42127 186.5129 \nL 216.617921 188.171034 \nL 217.900349 189.733608 \nL 219.280292 191.194689 \nL 220.769822 192.546993 \nL 222.381434 193.781647 \nL 224.128104 194.887947 \nL 226.023343 195.853041 \nL 228.081198 196.661609 \nL 230.316232 197.295478 \nL 232.743446 197.733214 \nL 235.37813 197.94968 \nL 238.235657 197.915592 \nL 241.331127 197.597098 \nL 244.678938 196.955388 \nL 248.292146 195.946457 \nL 252.181658 194.521056 \nL 256.355195 192.624961 \nL 260.815961 190.199747 \nL 265.561068 187.184196 \nL 270.5796 183.516634 \nL 275.850432 179.138365 \nL 281.339817 173.998455 \nL 286.998857 168.060032 \nL 292.761113 161.307969 \nL 298.540622 153.757758 \nL 304.230809 145.464779 \nL 309.70473 136.532803 \nL 314.817245 127.120015 \nL 319.409534 117.440565 \nL 323.316267 107.759583 \nL 326.375287 98.380495 \nL 328.439145 89.624329 \nL 329.387373 81.803054 \nL 329.137911 75.190231 \nL 327.655905 69.994221 \nL 324.958396 66.338591 \nL 321.114012 64.253711 \nL 316.237651 63.68043 \nL 310.480958 64.484635 \nL 304.02018 66.479017 \nL 297.043112 69.447367 \nL 289.736842 73.167316 \nL 282.27747 77.428664 \nL 274.822595 82.04567 \nL 267.506605 86.863594 \nL 260.438596 91.760342 \nL 253.7024 96.644594 \nL 247.358145 101.451935 \nL 241.444803 106.139986 \nL 235.983209 110.683498 \nL 230.979256 115.069886 \nL 226.426941 119.295448 \nL 222.311178 123.362367 \nL 218.610244 127.276392 \nL 215.297869 131.045216 \nL 212.344938 134.677336 \nL 209.72087 138.181287 \nL 207.394687 141.565193 \nL 205.335826 144.836556 \nL 203.514721 148.002092 \nL 201.903218 151.067772 \nL 199.204896 156.919773 \nL 197.051033 162.426765 \nL 195.281066 167.614584 \nL 192.380111 177.105566 \nL 190.367289 183.49622 \nL 188.949391 187.421234 \nL 187.387044 191.076917 \nL 185.610614 194.455067 \nL 183.548044 197.53853 \nL 182.385409 198.961137 \nL 181.121354 200.297811 \nL 179.744685 201.542144 \nL 178.243463 202.686253 \nL 176.604938 203.720507 \nL 174.815483 204.633204 \nL 172.860565 205.410211 \nL 170.724741 206.03455 \nL 168.391683 206.485897 \nL 165.844267 206.740072 \nL 163.064724 206.768438 \nL 160.034885 206.537298 \nL 156.736555 206.007261 \nL 153.152041 205.132689 \nL 149.264867 203.86123 \nL 145.060749 202.133605 \nL 140.528866 199.883776 \nL 135.663477 197.039724 \nL 130.465942 193.525075 \nL 124.947165 189.261947 \nL 119.130458 184.175324 \nL 113.054724 178.19935 \nL 106.777845 171.285744 \nL 100.379912 163.414311 \nL 93.965931 154.605203 \nL 87.667301 144.931704 \nL 81.641357 134.531829 \nL 76.068214 123.616044 \nL 71.144194 112.468015 \nL 67.071571 101.435439 \nL 64.044908 90.909289 \nL 62.235148 81.29212 \nL 61.773366 72.958858 \nL 62.736545 66.216728 \nL 65.138056 61.271889 \nL 68.924516 58.209806 \nL 73.979798 56.993183 \nL 80.13559 57.477 \nL 87.186517 59.436228 \nL 94.907366 62.599525 \nL 103.069889 66.682116 \nL 111.45713 71.412795 \nL 119.874133 76.552332 \nL 128.154693 81.90335 \nL 136.16441 87.312697 \nL 143.800764 92.668786 \nL 150.991068 97.895797 \nL 157.68911 102.946769 \nL 163.871143 107.796603 \nL 169.531735 112.435885 \nL 174.679832 116.865742 \nL 179.335198 121.093841 \nL 183.525355 125.13148 \nL 187.283028 128.991519 \nL 190.644079 132.687002 \nL 193.645878 136.230327 \nL 196.326066 139.632796 \nL 198.721631 142.904378 \nL 200.868259 146.053648 \nL 204.548521 152.012978 \nL 207.613855 157.554483 \nL 215.101061 171.879148 \nL 217.55135 175.893478 \nL 218.841143 177.749501 \nL 220.193099 179.499256 \nL 221.621002 181.137234 \nL 223.138394 182.65664 \nL 224.758693 184.049212 \nL 226.495285 185.305008 \nL 228.361588 186.412188 \nL 230.371083 187.356733 \nL 232.537297 188.122187 \nL 234.873745 188.689326 \nL 237.393801 189.035874 \nL 240.110499 189.13619 \nL 243.036235 188.961006 \nL 246.182374 188.477256 \nL 249.558695 187.647986 \nL 253.172717 186.432497 \nL 257.02881 184.78675 \nL 261.127137 182.66418 \nL 265.462366 180.017032 \nL 270.022191 176.798372 \nL 274.785665 172.964923 \nL 279.721407 168.480822 \nL 284.785808 163.322406 \nL 289.921385 157.483868 \nL 295.055505 150.98356 \nL 300.099774 143.870462 \nL 304.95048 136.229896 \nL 309.490359 128.187486 \nL 313.592046 119.910027 \nL 317.123317 111.602036 \nL 319.954058 103.497173 \nL 321.964531 95.844445 \nL 323.054303 88.890145 \nL 323.150661 82.857645 \nL 322.215538 77.927905 \nL 320.24982 74.224108 \nL 317.2943 71.802708 \nL 313.427148 70.652489 \nL 308.75817 70.701403 \nL 303.420726 71.829212 \nL 297.562404 73.883645 \nL 291.33564 76.697006 \nL 284.889236 80.101006 \nL 278.36148 83.938187 \nL 271.875234 88.069596 \nL 265.534952 92.378614 \nL 259.425485 96.771815 \nL 253.61228 101.177685 \nL 248.142613 105.543961 \nL 243.047505 109.834416 \nL 238.343952 114.025561 \nL 234.037306 118.103588 \nL 230.12357 122.061743 \nL 226.591509 125.898167 \nL 223.424551 129.614231 \nL 220.602399 133.213293 \nL 218.102396 136.69981 \nL 215.900625 140.078693 \nL 213.972795 143.354945 \nL 212.29492 146.533389 \nL 210.843825 149.618531 \nL 209.597517 152.614524 \nL 208.535437 155.525119 \nL 207.638606 158.353713 \nL 206.273153 163.776829 \nL 205.382858 168.904894 \nL 204.87524 173.755226 \nL 204.681315 178.342283 \nL 204.752764 182.678178 \nL 205.059184 186.772922 \nL 205.585732 190.634306 \nL 206.331334 194.267593 \nL 207.307524 197.674842 \nL 208.537911 200.85385 \nL 210.058273 203.7966 \nL 210.941854 205.174719 \nL 211.917217 206.486892 \nL 212.992633 207.729269 \nL 214.177348 208.896968 \nL 215.481635 209.983911 \nL 216.916851 210.982547 \nL 218.495498 211.883599 \nL 220.231265 212.67571 \nL 222.139073 213.345054 \nL 224.235088 213.874857 \nL 226.536709 214.244881 \nL 229.062512 214.430786 \nL 231.832125 214.403449 \nL 234.866021 214.128209 \nL 238.185179 213.56406 \nL 241.810613 212.66286 \nL 245.762658 211.368589 \nL 250.060014 209.616805 \nL 254.718455 207.334438 \nL 259.749127 204.440161 \nL 265.15638 200.84565 \nL 270.935043 196.458137 \nL 277.06718 191.184738 \nL 283.518295 184.939026 \nL 290.233171 177.650324 \nL 297.131629 169.275918 \nL 304.104703 159.815881 \nL 311.011914 149.329575 \nL 317.680685 137.951645 \nL 323.90884 125.904329 \nL 329.471302 113.501892 \nL 334.131512 101.142875 \nL 337.657529 89.287138 \nL 339.841595 78.417502 \nL 340.520708 68.990246 \nL 339.595143 61.382538 \nL 337.041358 55.847787 \nL 332.916749 52.488836 \nL 327.354978 51.254702 \nL 320.552911 51.960487 \nL 312.751492 54.32421 \nL 304.214125 58.011109 \nL 295.20581 62.675861 \nL 285.97577 67.996146 \nL 276.744901 73.694401 \nL 267.698386 79.547895 \nL 258.982884 85.389714 \nL 250.707278 91.103509 \nL 242.945859 96.615047 \nL 235.742854 101.882848 \nL 229.117536 106.889317 \nL 223.069275 111.633181 \nL 217.582201 116.123473 \nL 212.629308 120.375014 \nL 208.175879 124.405256 \nL 204.182288 128.232122 \nL 200.60622 131.872711 \nL 197.404362 135.342532 \nL 194.533673 138.655124 \nL 189.620152 144.852621 \nL 185.554483 150.533902 \nL 175.895321 164.782613 \nL 172.848408 168.59859 \nL 171.265804 170.316732 \nL 169.621063 171.899796 \nL 167.898346 173.339603 \nL 166.082622 174.626362 \nL 164.159576 175.748526 \nL 162.115582 176.692631 \nL 159.937689 177.443111 \nL 157.613697 177.982118 \nL 155.132275 178.289408 \nL 152.483164 178.342196 \nL 149.657463 178.115157 \nL 146.648017 177.580475 \nL 143.449905 176.708056 \nL 140.061064 175.46599 \nL 136.483037 173.821228 \nL 132.721834 171.740635 \nL 128.78893 169.192482 \nL 124.702348 166.148417 \nL 120.48779 162.586012 \nL 116.179754 158.491805 \nL 111.822513 153.864905 \nL 107.470844 148.720813 \nL 103.190301 143.095354 \nL 99.056907 137.04812 \nL 95.155982 130.664929 \nL 91.580045 124.058583 \nL 88.425602 117.367357 \nL 85.788937 110.75061 \nL 83.761 104.381466 \nL 82.421823 98.436833 \nL 81.83492 93.085586 \nL 82.042303 88.476407 \nL 83.060729 84.726777 \nL 84.879729 81.914717 \nL 87.461651 80.074578 \nL 90.743818 79.197231 \nL 94.642482 79.23451 \nL 99.058135 80.106843 \nL 103.881494 81.712709 \nL 108.999573 83.938608 \nL 114.30121 86.66813 \nL 119.681693 89.789326 \nL 125.046265 93.200024 \nL 130.312404 96.811008 \nL 135.411026 100.547395 \nL 140.286688 104.348522 \nL 144.897088 108.16691 \nL 149.212035 111.966631 \nL 153.212076 115.721428 \nL 156.88697 119.412853 \nL 160.234118 123.028535 \nL 163.257059 126.560665 \nL 165.964065 130.004756 \nL 168.366892 133.358666 \nL 170.479702 136.621799 \nL 172.318138 139.794559 \nL 173.898566 142.877903 \nL 175.23746 145.873063 \nL 176.350915 148.781314 \nL 177.254272 151.603861 \nL 177.961837 154.341718 \nL 178.486688 156.99565 \nL 178.840529 159.566146 \nL 179.03361 162.053339 \nL 179.074679 164.457 \nL 178.970968 166.776506 \nL 178.728198 169.010759 \nL 178.350602 171.158158 \nL 177.840958 173.216524 \nL 177.200624 175.183043 \nL 176.429592 177.054126 \nL 175.526517 178.825353 \nL 174.488782 180.49129 \nL 173.312537 182.045372 \nL 171.992757 183.479705 \nL 170.523302 184.784889 \nL 168.896988 185.949761 \nL 167.105678 186.961166 \nL 165.140395 187.803669 \nL 162.991459 188.459268 \nL 160.648677 188.907064 \nL 158.101594 189.12298 \nL 155.339804 189.079458 \nL 152.353366 188.745234 \nL 149.133311 188.0852 \nL 145.672328 187.060438 \nL 141.965564 185.628463 \nL 138.011636 183.743836 \nL 133.813835 181.359212 \nL 129.381527 178.426992 \nL 124.731754 174.90176 \nL 119.891004 170.74354 \nL 114.896996 165.922067 \nL 109.800473 160.42204 \nL 104.66667 154.249134 \nL 99.576304 147.436427 \nL 94.625709 140.0506 \nL 89.925747 132.196917 \nL 85.599254 124.021726 \nL 81.776678 115.711295 \nL 78.589982 107.48585 \nL 76.16493 99.588315 \nL 74.612416 92.268233 \nL 74.019705 85.762327 \nL 74.442622 80.274309 \nL 75.899867 75.957215 \nL 78.370365 72.90097 \nL 81.794045 71.127484 \nL 86.076093 70.593758 \nL 91.093958 71.201831 \nL 96.706194 72.813591 \nL 102.761926 75.267409 \nL 109.109866 78.394002 \nL 115.606036 82.029691 \nL 122.119638 86.025937 \nL 128.536995 90.254963 \nL 134.7636 94.612034 \nL 140.724556 99.015091 \nL 146.363814 103.402742 \nL 151.642557 107.731213 \nL 156.537111 111.97108 \nL 161.036596 116.10404 \nL 165.140609 120.120092 \nL 168.856988 124.015143 \nL 172.199815 127.789086 \nL 175.187664 131.444391 \nL 177.842115 134.985018 \nL 180.186524 138.415694 \nL 182.245036 141.741377 \nL 184.04181 144.966983 \nL 185.600431 148.097164 \nL 186.943466 151.136243 \nL 188.092171 154.088145 \nL 189.06628 156.956439 \nL 189.883896 159.744319 \nL 191.113637 165.090122 \nL 191.892735 170.145486 \nL 192.307198 174.926858 \nL 192.420214 179.447951 \nL 192.27498 183.720216 \nL 191.897356 187.752947 \nL 191.298077 191.553117 \nL 190.474361 195.124947 \nL 189.410895 198.469091 \nL 188.080177 201.581432 \nL 186.442257 204.451266 \nL 185.492018 205.789451 \nL 184.44392 207.05859 \nL 183.289024 208.254101 \nL 182.017379 209.370232 \nL 180.617965 210.39985 \nL 179.078637 211.334171 \nL 177.386075 212.162427 \nL 175.525747 212.871499 \nL 173.481876 213.44546 \nL 171.237458 213.865068 \nL 168.774299 214.107173 \nL 166.073125 214.144045 \nL 163.113762 213.942639 \nL 159.875429 213.463822 \nL 156.337199 212.661549 \nL 152.478609 211.482147 \nL 148.280564 209.863684 \nL 143.726522 207.735679 \nL 138.804084 205.019299 \nL 133.507015 201.62836 \nL 127.837798 197.471494 \nL 121.810731 192.455935 \nL 115.455568 186.493448 \nL 108.821571 179.508806 \nL 101.98172 171.451143 \nL 95.036685 162.308069 \nL 88.117866 152.121713 \nL 81.388658 141.004953 \nL 75.042841 129.154967 \nL 69.299131 116.860068 \nL 64.39107 104.495579 \nL 60.552267 92.505243 \nL 57.997701 81.367079 \nL 56.903284 71.546657 \nL 57.386655 63.444836 \nL 59.492535 57.350353 \nL 63.185654 53.407671 \nL 68.352831 51.607145 \nL 74.813845 51.798858 \nL 82.339073 53.725342 \nL 90.67061 57.06441 \nL 99.543442 61.47229 \nL 108.70386 66.619826 \nL 117.923317 72.217326 \nL 127.00716 78.027685 \nL 135.79864 83.869581 \nL 144.179019 89.613784 \nL 152.065018 95.175384 \nL 159.404594 100.504624 \nL 166.171981 105.577862 \nL 172.362608 110.3897 \nL 177.988332 114.94652 \nL 183.0732 119.261634 \nL 187.649845 123.351775 \nL 191.756524 127.234692 \nL 195.434762 130.927649 \nL 198.727518 134.446508 \nL 201.677807 137.805277 \nL 204.327709 141.015967 \nL 208.886048 147.031166 \nL 212.699722 152.550234 \nL 220.58344 164.340906 \nL 223.594637 168.248635 \nL 225.150884 170.016686 \nL 226.763966 171.653037 \nL 228.449955 173.150081 \nL 230.224111 174.498672 \nL 232.100967 175.687958 \nL 234.094397 176.705233 \nL 236.217627 177.535723 \nL 238.48319 178.162454 \nL 240.902841 178.566049 \nL 243.487374 178.724636 \nL 246.246378 178.613748 \nL 249.187883 178.206344 \nL 252.317907 177.472945 \nL 255.6399 176.381984 \nL 259.154029 174.900382 \nL 262.856351 172.994422 \nL 266.737868 170.631092 \nL 270.783444 167.779831 \nL 274.970695 164.414851 \nL 279.2688 160.51804 \nL 283.637445 156.082374 \nL 288.025963 151.115757 \nL 292.372792 145.64501 \nL 296.605554 139.719667 \nL 300.641792 133.414995 \nL 304.390712 126.833585 \nL 307.755939 120.104888 \nL 310.639389 113.382038 \nL 312.946104 106.835638 \nL 314.589787 100.644648 \nL 315.498563 94.984992 \nL 315.620374 90.017112 \nL 314.927391 85.874067 \nL 313.418819 82.651791 \nL 311.121711 80.403023 \nL 308.089623 79.135726 \nL 304.399278 78.815911 \nL 300.145651 79.374285 \nL 295.436083 80.715374 \nL 290.384053 82.72763 \nL 285.103305 85.29315 \nL 279.702731 88.295946 \nL 274.282358 91.628183 \nL 268.930557 95.194253 \nL 263.722431 98.912785 \nL 258.719224 102.717079 \nL 253.968589 106.554337 \nL 249.505469 110.38415 \nL 245.353374 114.176685 \nL 241.525893 117.910718 \nL 238.028286 121.571802 \nL 234.859038 125.150655 \nL 232.011333 128.641803 \nL 229.47438 132.042454 \nL 227.23457 135.35166 \nL 225.276467 138.56965 \nL 223.583641 141.697352 \nL 222.13934 144.736049 \nL 220.927023 147.687157 \nL 219.930785 150.552044 \nL 219.135669 153.331916 \nL 218.527893 156.027767 \nL 218.095008 158.640306 \nL 217.826007 161.169935 \nL 217.711381 163.616702 \nL 217.74314 165.980271 \nL 217.914815 168.259878 \nL 218.221447 170.454297 \nL 218.659546 172.561767 \nL 219.227061 174.579927 \nL 219.923336 176.505741 \nL 220.749064 178.335384 \nL 221.706241 180.064137 \nL 222.798122 181.686226 \nL 224.029169 183.194686 \nL 225.404999 184.581153 \nL 226.932317 185.835667 \nL 228.618851 186.946426 \nL 230.47325 187.899521 \nL 232.504973 188.678643 \nL 234.724135 189.264784 \nL 237.141297 189.635914 \nL 239.767208 189.766662 \nL 242.612464 189.628039 \nL 245.687062 189.187223 \nL 248.999827 188.40744 \nL 252.557701 187.248051 \nL 256.364866 185.6649 \nL 260.42166 183.611017 \nL 264.723283 181.037876 \nL 269.25831 177.897265 \nL 274.007013 174.144009 \nL 278.939517 169.739604 \nL 284.013956 164.656893 \nL 289.1747 158.885688 \nL 294.35098 152.439135 \nL 299.456061 145.36034 \nL 304.387467 137.728491 \nL 309.028463 129.663317 \nL 313.251245 121.326716 \nL 316.921946 112.920113 \nL 319.907424 104.676661 \nL 322.083551 96.848037 \nL 323.344249 89.686581 \nL 323.61028 83.424708 \nL 322.836646 78.254724 \nL 321.017515 74.312023 \nL 318.187784 71.664808 \nL 314.421042 70.311796 \nL 309.824198 70.188058 \nL 304.529499 71.177259 \nL 298.685136 73.127913 \nL 292.445577 75.870449 \nL 285.962747 79.232807 \nL 279.378743 83.052707 \nL 272.8205 87.186011 \nL 266.396546 91.511123 \nL 260.195511 95.930216 \nL 254.286196 100.368102 \nL 248.718715 104.769647 \nL 243.526382 109.0965 \nL 238.727971 113.323699 \nL 234.330128 117.436469 \nL 230.329721 121.42751 \nL 226.716041 125.294688 \nL 223.472739 129.039323 \nL 220.579517 132.664851 \nL 218.013531 136.175873 \nL 215.750548 139.577509 \nL 213.765863 142.874955 \nL 212.035011 146.073234 \nL 210.534294 149.177064 \nL 209.241174 152.190759 \nL 208.134532 155.118252 \nL 207.194838 157.963074 \nL 205.746552 163.417134 \nL 204.773723 168.574908 \nL 204.179732 173.454567 \nL 203.891544 178.07142 \nL 203.856754 182.438562 \nL 204.040677 186.567196 \nL 204.423814 190.466706 \nL 204.999856 194.144501 \nL 205.774303 197.605609 \nL 206.763708 200.852003 \nL 207.995514 203.881553 \nL 209.50847 206.686465 \nL 211.353589 209.250957 \nL 212.42035 210.435119 \nL 213.595586 211.547853 \nL 214.889826 212.583169 \nL 216.3147 213.533638 \nL 217.883002 214.390087 \nL 219.608748 215.141274 \nL 221.507226 215.773473 \nL 223.595025 216.269992 \nL 225.890031 216.610628 \nL 228.411388 216.771018 \nL 231.179389 216.721927 \nL 234.21528 216.42844 \nL 237.540941 215.849116 \nL 241.17843 214.935118 \nL 245.149281 213.629389 \nL 249.473554 211.866012 \nL 254.168542 209.569881 \nL 259.247048 206.656937 \nL 264.715173 203.035318 \nL 270.569538 198.6078 \nL 276.793877 193.276086 \nL 283.355113 186.947445 \nL 290.198934 179.544257 \nL 297.245232 171.016709 \nL 304.383936 161.358452 \nL 311.471891 150.624247 \nL 318.33189 138.947411 \nL 324.754974 126.553642 \nL 330.507119 113.766745 \nL 335.34102 101.001416 \nL 339.013006 88.739595 \nL 341.303729 77.489979 \nL 342.040222 67.734985 \nL 341.115795 59.873963 \nL 338.50411 54.174828 \nL 334.264336 50.744783 \nL 328.536309 49.526954 \nL 321.526493 50.322088 \nL 313.487505 52.828705 \nL 304.694999 56.690975 \nL 295.425524 61.544072 \nL 285.938182 67.049811 \nL 276.461568 72.919188 \nL 267.186245 78.922427 \nL 258.26211 84.889287 \nL 249.79947 90.702822 \nL 241.8726 96.290084 \nL 234.524699 101.611899 \nL 227.773329 106.653446 \nL 221.615755 111.416285 \nL 216.033834 115.912049 \nL 210.998254 120.157878 \nL 206.472074 124.173136 \nL 202.41359 127.977316 \nL 198.778575 131.588701 \nL 195.521997 135.023703 \nL 192.599281 138.296491 \nL 187.584523 144.400858 \nL 183.414147 149.971577 \nL 174.938408 161.766526 \nL 171.767133 165.631005 \nL 170.141353 167.367499 \nL 168.464467 168.965337 \nL 166.719724 170.416607 \nL 164.89143 171.711834 \nL 162.964848 172.839854 \nL 160.926141 173.787672 \nL 158.762373 174.540314 \nL 156.461568 175.080709 \nL 154.012809 175.389586 \nL 151.406432 175.445408 \nL 148.634294 175.224378 \nL 145.690142 174.700594 \nL 142.570066 173.846279 \nL 139.273078 172.632277 \nL 135.801796 171.028784 \nL 132.163242 169.006376 \nL 128.369722 166.537478 \nL 124.439807 163.598216 \nL 120.39929 160.170754 \nL 116.282156 156.246128 \nL 112.131355 151.827379 \nL 107.999351 146.932927 \nL 103.948235 141.599908 \nL 100.049287 135.886974 \nL 96.381775 129.876176 \nL 93.030922 123.673292 \nL 90.084935 117.406137 \nL 87.63121 111.220448 \nL 85.751739 105.273261 \nL 84.518235 99.724148 \nL 83.987222 94.724961 \nL 84.195768 90.409378 \nL 85.158247 86.883515 \nL 86.864661 84.21879 \nL 89.2807 82.448309 \nL 92.34962 81.566848 \nL 95.995641 81.534468 \nL 100.128564 82.282871 \nL 104.648986 83.723472 \nL 109.453644 85.755859 \nL 114.440331 88.275757 \nL 119.512102 91.181626 \nL 124.580481 94.379579 \nL 129.567688 97.78645 \nL 134.407823 101.331344 \nL 139.047262 104.95581 \nL 143.44432 108.6132 \nL 147.568446 112.267366 \nL 151.39907 115.891143 \nL 154.92429 119.464733 \nL 158.139472 122.974186 \nL 161.045901 126.410058 \nL 163.649492 129.766254 \nL 165.959642 133.0391 \nL 167.988203 136.226576 \nL 169.748613 139.327784 \nL 171.25516 142.342502 \nL 172.522383 145.270876 \nL 173.564588 148.113181 \nL 174.395474 150.869658 \nL 175.027846 153.540411 \nL 175.473399 156.125307 \nL 175.742569 158.623906 \nL 175.844441 161.035394 \nL 175.78668 163.358537 \nL 175.575512 165.591612 \nL 175.215717 167.732343 \nL 174.710644 169.77782 \nL 174.06224 171.724417 \nL 173.271085 173.567685 \nL 172.336446 175.302217 \nL 171.256325 176.921537 \nL 170.027527 178.417921 \nL 168.645724 179.782242 \nL 167.105556 181.003726 \nL 165.400718 182.069786 \nL 163.524095 182.965757 \nL 161.467919 183.674652 \nL 159.223968 184.176912 \nL 156.783815 184.450167 \nL 154.13915 184.469026 \nL 151.282168 184.204928 \nL 148.206086 183.626087 \nL 144.905747 182.697588 \nL 141.378372 181.381707 \nL 137.624482 179.638544 \nL 133.648949 177.427045 \nL 129.462235 174.706546 \nL 125.081771 171.438924 \nL 120.53344 167.591515 \nL 115.853065 163.140769 \nL 111.087875 158.076631 \nL 106.297631 152.407569 \nL 101.555371 146.16578 \nL 96.947375 139.412167 \nL 92.572157 132.240205 \nL 88.538213 124.777841 \nL 84.960348 117.186428 \nL 81.954558 109.65586 \nL 79.631664 102.395581 \nL 78.09014 95.621731 \nL 77.408806 89.541581 \nL 77.640258 84.337132 \nL 78.805874 80.150302 \nL 80.893167 77.071973 \nL 83.855943 75.136647 \nL 87.61721 74.323409 \nL 92.074535 74.562562 \nL 97.107067 75.746672 \nL 102.583346 77.743618 \nL 108.369062 80.409874 \nL 114.333878 83.602163 \nL 120.357 87.186413 \nL 126.331121 91.043687 \nL 132.164796 95.073327 \nL 137.783409 99.193675 \nL 143.129 103.341112 \nL 148.159229 107.468043 \nL 152.845826 111.540416 \nL 157.172702 115.535073 \nL 161.133963 119.43731 \nL 164.73197 123.238705 \nL 167.975516 126.935335 \nL 170.8782 130.526388 \nL 173.457008 134.013039 \nL 175.731112 137.397692 \nL 177.720888 140.683378 \nL 179.447111 143.8734 \nL 180.930333 146.971077 \nL 182.190406 149.979566 \nL 183.246129 152.901806 \nL 184.114999 155.740466 \nL 184.813049 158.497909 \nL 185.354746 161.176212 \nL 185.752945 163.777174 \nL 186.018886 166.302306 \nL 186.190998 171.129817 \nL 185.929832 175.665463 \nL 185.270985 179.911243 \nL 184.228738 183.863637 \nL 183.562874 185.726846 \nL 182.79765 187.512081 \nL 181.929496 189.21654 \nL 180.953727 190.83663 \nL 179.864559 192.367834 \nL 178.655112 193.804549 \nL 177.317412 195.139897 \nL 175.842401 196.365501 \nL 174.219947 197.471221 \nL 172.438858 198.444869 \nL 170.486925 199.271857 \nL 168.350983 199.934804 \nL 166.017007 200.413124 \nL 163.47027 200.682551 \nL 160.695563 200.714639 \nL 157.677506 200.476276 \nL 154.40098 199.929211 \nL 150.851711 199.02969 \nL 147.017048 197.728229 \nL 142.886948 195.96967 \nL 138.455259 193.69368 \nL 133.721279 190.83584 \nL 128.691676 187.329621 \nL 123.382726 183.109427 \nL 117.822851 178.115062 \nL 112.055356 172.297794 \nL 106.14116 165.628077 \nL 100.161296 158.104791 \nL 94.218638 149.765463 \nL 88.438446 140.696286 \nL 82.967079 131.040384 \nL 77.968248 121.002013 \nL 73.616449 110.844486 \nL 70.08748 100.879725 \nL 67.546498 91.448756 \nL 66.134674 82.894312 \nL 65.956062 75.528761 \nL 67.066674 69.602586 \nL 69.467575 65.279387 \nL 73.10334 62.622087 \nL 77.866147 61.592985 \nL 83.604968 62.066717 \nL 90.138239 63.852737 \nL 97.268084 66.722131 \nL 104.794158 70.433851 \nL 112.525484 74.75638 \nL 120.289469 79.483021 \nL 127.937703 84.440356 \nL 135.348799 89.491022 \nL 142.428733 94.5321 \nL 149.109392 99.491004 \nL 155.345945 104.320171 \nL 161.113582 108.991487 \nL 166.404053 113.491213 \nL 171.222308 117.815656 \nL 175.583412 121.967723 \nL 179.509842 125.954315 \nL 183.029184 129.784434 \nL 186.172251 133.467889 \nL 188.971574 137.014458 \nL 191.460218 140.433375 \nL 193.670898 143.73306 \nL 195.635335 146.921005 \nL 197.383807 150.003774 \nL 200.345168 155.875629 \nL 202.760469 161.384708 \nL 205.734927 169.022155 \nL 209.205522 178.110966 \nL 210.975844 182.197706 \nL 212.89397 185.973141 \nL 215.04654 189.4214 \nL 216.237746 191.014617 \nL 217.520336 192.514292 \nL 218.905823 193.91427 \nL 220.406176 195.206986 \nL 222.033903 196.383236 \nL 223.802111 197.43189 \nL 225.724547 198.339593 \nL 227.815598 199.090383 \nL 230.090262 199.6653 \nL 232.564061 200.041932 \nL 235.252887 200.19395 \nL 238.172771 200.090621 \nL 241.339525 199.696326 \nL 244.76826 198.970151 \nL 248.472726 197.865607 \nL 252.464438 196.330562 \nL 256.751553 194.307527 \nL 261.337481 191.734467 \nL 266.219126 188.54634 \nL 271.384851 184.677632 \nL 276.812082 180.066108 \nL 282.46472 174.658101 \nL 288.290391 168.415384 \nL 294.217879 161.323633 \nL 300.155062 153.402167 \nL 305.987761 144.714013 \nL 311.580207 135.374988 \nL 316.777579 125.559857 \nL 321.411198 115.503316 \nL 325.306624 105.493516 \nL 328.294388 95.856961 \nL 330.222697 86.934783 \nL 330.970634 79.052825 \nL 330.460111 72.489853 \nL 328.664692 67.44933 \nL 325.613603 64.040412 \nL 321.390284 62.271596 \nL 316.125503 62.05778 \nL 309.986289 63.238484 \nL 303.162422 65.60278 \nL 295.85241 68.915861 \nL 288.250786 72.942764 \nL 280.537803 77.46644 \nL 272.872242 82.299291 \nL 265.387251 87.288412 \nL 258.188886 92.315903 \nL 251.356766 97.295877 \nL 244.946156 102.169728 \nL 238.990943 106.900627 \nL 233.506977 111.468308 \nL 228.495458 115.864428 \nL 223.946133 120.088737 \nL 219.840145 124.146153 \nL 216.152509 128.044543 \nL 212.854166 131.793159 \nL 209.913658 135.401636 \nL 207.298451 138.879303 \nL 204.975949 142.234838 \nL 202.914247 145.476061 \nL 201.082671 148.609887 \nL 197.995352 154.578622 \nL 195.503498 160.179825 \nL 193.426969 165.441675 \nL 187.442551 181.413665 \nL 185.657984 185.30119 \nL 183.676564 188.877785 \nL 182.585999 190.543459 \nL 181.414755 192.122581 \nL 180.151902 193.610339 \nL 178.786104 195.00073 \nL 177.305522 196.286379 \nL 175.69774 197.458285 \nL 173.949696 198.505557 \nL 172.047649 199.415082 \nL 169.977161 200.171173 \nL 167.723128 200.755147 \nL 165.269856 201.144892 \nL 162.601201 201.314354 \nL 159.700795 201.233051 \nL 156.552371 200.865562 \nL 153.140246 200.171072 \nL 149.449958 199.103042 \nL 145.46911 197.609073 \nL 141.188469 195.631111 \nL 136.603371 193.106137 \nL 131.715435 189.967613 \nL 126.534632 186.147851 \nL 121.081689 181.581687 \nL 115.390771 176.211618 \nL 109.512292 169.994678 \nL 103.515647 162.910984 \nL 97.491516 154.973673 \nL 91.553218 146.239428 \nL 85.836604 136.818287 \nL 80.497768 126.88068 \nL 75.708143 116.659409 \nL 71.646525 106.444204 \nL 68.488308 96.567224 \nL 66.39249 87.379465 \nL 65.487951 79.220138 \nL 65.860737 72.383395 \nL 67.544448 67.088218 \nL 70.515415 63.457237 \nL 74.693605 61.508688 \nL 79.949218 61.162445 \nL 86.113828 62.258219 \nL 92.994285 64.5812 \nL 100.387258 67.889802 \nL 108.092611 71.940856 \nL 115.924273 76.50891 \nL 123.717931 81.398693 \nL 131.33552 86.45087 \nL 138.666872 91.542603 \nL 145.629143 96.584523 \nL 152.164687 101.515756 \nL 158.238014 106.298238 \nL 163.832318 110.911207 \nL 168.945981 115.346317 \nL 173.589263 119.603676 \nL 177.781335 123.688697 \nL 181.547729 127.609822 \nL 184.918195 131.376895 \nL 187.924979 135.000097 \nL 190.601458 138.489237 \nL 192.981088 141.853403 \nL 195.09663 145.100749 \nL 196.979598 148.238451 \nL 200.165576 154.208889 \nL 202.755622 159.804303 \nL 205.921665 167.553165 \nL 209.562041 176.762548 \nL 211.395834 180.898253 \nL 213.369805 184.714709 \nL 215.574209 188.195271 \nL 216.790701 189.801017 \nL 218.098526 191.310567 \nL 219.509406 192.717545 \nL 221.035477 194.014136 \nL 222.689366 195.190854 \nL 224.484249 196.23626 \nL 226.433884 197.136647 \nL 228.552609 197.875683 \nL 230.855304 198.434004 \nL 233.35729 198.788791 \nL 236.074159 198.91331 \nL 239.021528 198.776443 \nL 242.214662 198.342262 \nL 245.667967 197.569656 \nL 249.39429 196.412118 \nL 253.404035 194.817758 \nL 257.704015 192.729716 \nL 262.296014 190.087098 \nL 267.175052 186.826677 \nL 272.327328 182.885588 \nL 277.727878 178.205263 \nL 283.338031 172.736831 \nL 289.102825 166.448061 \nL 294.948588 159.331758 \nL 300.781157 151.415162 \nL 306.485066 142.769502 \nL 311.924359 133.5182 \nL 316.945559 123.841926 \nL 321.383175 113.978217 \nL 325.067981 104.213847 \nL 327.83773 94.868812 \nL 329.549505 86.272515 \nL 330.092304 78.734599 \nL 329.398086 72.514903 \nL 327.449547 67.797639 \nL 324.283219 64.674951 \nL 319.987221 63.142685 \nL 314.694084 63.108755 \nL 308.569674 64.411533 \nL 301.800112 66.843994 \nL 294.578398 70.178815 \nL 287.09245 74.190523 \nL 279.515537 78.672021 \nL 271.99968 83.445012 \nL 264.671911 88.364475 \nL 257.633096 93.31873 \nL 250.958671 98.226462 \nL 244.700738 103.032052 \nL 238.890949 107.700479 \nL 233.543735 112.212357 \nL 228.659553 116.559544 \nL 224.22794 120.741589 \nL 220.23025 124.762924 \nL 216.642004 128.630819 \nL 213.434864 132.353906 \nL 210.578237 135.941208 \nL 208.040539 139.401508 \nL 205.790166 142.743007 \nL 203.796219 145.97312 \nL 202.029018 149.09845 \nL 199.06417 155.057157 \nL 196.692514 160.65682 \nL 194.740756 165.925444 \nL 191.539437 175.546106 \nL 189.319801 182.005146 \nL 187.758166 185.959554 \nL 186.039544 189.628719 \nL 184.088074 193.000545 \nL 183.00081 194.568386 \nL 181.82568 196.052374 \nL 180.551982 197.447372 \nL 179.168453 198.747011 \nL 177.663177 199.943459 \nL 176.023513 201.027163 \nL 174.236043 201.986549 \nL 172.286536 202.807662 \nL 170.159944 203.473781 \nL 167.840436 203.964951 \nL 165.311485 204.257491 \nL 162.556028 204.323446 \nL 159.556713 204.130021 \nL 156.296268 203.639018 \nL 152.758021 202.806332 \nL 148.926603 201.581575 \nL 144.788898 199.907917 \nL 140.335258 197.722325 \nL 135.561067 194.95639 \nL 130.468667 191.537951 \nL 125.069659 187.393873 \nL 119.387582 182.454259 \nL 113.460925 176.658396 \nL 107.346211 169.962681 \nL 101.121001 162.35038 \nL 94.886298 153.842945 \nL 88.767843 144.511718 \nL 82.915589 134.488494 \nL 77.500674 123.97241 \nL 72.709267 113.230541 \nL 68.733035 102.589485 \nL 65.756537 92.416448 \nL 63.942539 83.090407 \nL 63.416911 74.966406 \nL 64.255415 68.338733 \nL 66.474556 63.409816 \nL 70.02827 60.271129 \nL 74.811161 58.899842 \nL 80.667758 59.171164 \nL 87.406175 60.882627 \nL 94.814001 63.784572 \nL 102.673995 67.610558 \nL 110.777797 72.10306 \nL 118.936391 77.031652 \nL 126.986962 82.2033 \nL 134.796287 87.465791 \nL 142.261273 92.705969 \nL 149.307385 97.845066 \nL 155.885715 102.832407 \nL 161.969352 107.639098 \nL 167.54952 112.252123 \nL 172.631838 116.669418 \nL 177.232893 120.895956 \nL 181.377276 124.940848 \nL 185.095054 128.815212 \nL 188.419723 132.530769 \nL 191.386572 136.098962 \nL 194.031417 139.530404 \nL 196.389656 142.834606 \nL 198.495592 146.0199 \nL 202.079637 152.06126 \nL 205.022349 157.698995 \nL 208.677066 165.461003 \nL 211.918113 172.432441 \nL 214.076666 176.644273 \nL 216.369033 180.495069 \nL 217.59859 182.278037 \nL 218.900784 183.96047 \nL 220.288256 185.536817 \nL 221.773678 187.000243 \nL 223.369857 188.342423 \nL 225.089816 189.55332 \nL 226.946853 190.620929 \nL 228.954562 191.530976 \nL 231.126824 192.266605 \nL 233.477734 192.808024 \nL 236.021481 193.132149 \nL 238.772152 193.212227 \nL 241.743432 193.017495 \nL 244.94819 192.512905 \nL 248.397924 191.658939 \nL 252.102048 190.411644 \nL 256.066965 188.72292 \nL 260.294924 186.541247 \nL 264.782635 183.812963 \nL 269.519616 180.484295 \nL 274.486341 176.504306 \nL 279.652184 171.828961 \nL 284.973303 166.426341 \nL 290.39061 160.283087 \nL 295.828138 153.411707 \nL 301.192075 145.858232 \nL 306.370901 137.709373 \nL 311.237079 129.097767 \nL 315.650625 120.203806 \nL 319.464871 111.252473 \nL 322.534304 102.50402 \nL 324.724056 94.238196 \nL 325.920256 86.733176 \nL 326.039976 80.241508 \nL 325.039405 74.966942 \nL 322.918949 71.046019 \nL 319.724403 68.537603 \nL 315.543887 67.422232 \nL 310.501009 67.610807 \nL 304.745334 68.960278 \nL 298.441441 71.293209 \nL 291.758102 74.417409 \nL 284.858659 78.143099 \nL 277.89341 82.295712 \nL 270.994333 86.723914 \nL 264.272108 91.303278 \nL 257.815153 95.936398 \nL 251.690214 100.550705 \nL 245.944052 105.095011 \nL 240.605798 109.535451 \nL 235.689611 113.851607 \nL 231.197392 118.032983 \nL 227.121361 122.076076 \nL 223.446392 125.982044 \nL 220.152049 129.754963 \nL 217.214323 133.400508 \nL 214.607039 136.925089 \nL 212.303005 140.335261 \nL 210.274897 143.637366 \nL 208.495933 146.837339 \nL 206.940363 149.940585 \nL 205.583817 152.951983 \nL 204.403514 155.875897 \nL 202.489148 161.476498 \nL 201.04981 166.768976 \nL 199.964995 171.775072 \nL 199.138316 176.513042 \nL 198.220713 183.151475 \nL 195.603635 204.872859 \nL 194.732276 209.261123 \nL 194.016793 211.980206 \nL 193.15967 214.538058 \nL 192.125945 216.935011 \nL 190.873596 219.167565 \nL 189.351594 221.226686 \nL 187.497649 223.095335 \nL 186.423019 223.949822 \nL 185.235606 224.744689 \nL 183.923244 225.473577 \nL 182.472517 226.128551 \nL 180.868661 226.699761 \nL 179.095469 227.175036 \nL 177.1352 227.539384 \nL 174.968519 227.774416 \nL 172.574456 227.857642 \nL 169.930426 227.761673 \nL 167.012303 227.453271 \nL 163.794612 226.892311 \nL 160.250858 226.030616 \nL 156.354037 224.810749 \nL 152.077427 223.16482 \nL 147.395727 221.013474 \nL 142.286603 218.265235 \nL 136.732844 214.816594 \nL 130.725153 210.553227 \nL 124.265742 205.353035 \nL 117.372749 199.091693 \nL 110.08553 191.651619 \nL 102.470516 182.93509 \nL 94.627393 172.882022 \nL 86.694687 161.491998 \nL 78.853728 148.849011 \nL 71.329427 135.14526 \nL 64.386173 120.69855 \nL 58.317199 105.955986 \nL 53.426618 91.476945 \nL 50.004793 77.891124 \nL 48.299201 65.833513 \nL 48.485541 55.865872 \nL 50.64426 48.401326 \nL 54.747786 43.650247 \nL 60.661445 41.601268 \nL 68.158121 42.04086 \nL 76.94342 44.603892 \nL 86.686154 48.839923 \nL 97.048565 54.278721 \nL 107.711838 60.482648 \nL 118.394372 67.080066 \nL 128.862309 73.779962 \nL 148.474452 86.717121 \nL 165.655788 98.384686 \nL 180.121862 108.574104 \nL 186.360382 113.14653 \nL 191.980425 117.405812 \nL 197.02694 121.380826 \nL 201.549841 125.099263 \nL 205.601389 128.586221 \nL 212.50005 134.949519 \nL 218.126579 140.604142 \nL 230.762943 153.947719 \nL 234.44539 157.222689 \nL 236.301963 158.624595 \nL 238.194786 159.8598 \nL 240.140827 160.919301 \nL 242.155132 161.792667 \nL 244.250884 162.468072 \nL 246.439404 162.932331 \nL 248.730094 163.170977 \nL 251.130333 163.168384 \nL 253.645297 162.90797 \nL 256.277728 162.372512 \nL 259.02763 161.544558 \nL 261.891916 160.407017 \nL 264.863985 158.943893 \nL 267.933279 157.141233 \nL 271.084819 154.988284 \nL 274.298732 152.478825 \nL 277.549884 149.612713 \nL 280.807551 146.397498 \nL 284.035333 142.850097 \nL 287.191224 138.998324 \nL 290.228038 134.882157 \nL 293.094203 130.554471 \nL 295.734935 126.081068 \nL 298.093872 121.539805 \nL 300.115115 117.018626 \nL 301.745571 112.612518 \nL 302.937575 108.419449 \nL 303.651421 104.535603 \nL 303.85782 101.050253 \nL 303.539852 98.040797 \nL 302.694336 95.568511 \nL 301.332408 93.675497 \nL 299.479243 92.383112 \nL 297.172943 91.692024 \nL 294.462671 91.583824 \nL 291.40627 92.023837 \nL 288.06748 92.964794 \nL 284.513148 94.350855 \nL 280.810471 96.121604 \nL 277.024622 98.215497 \nL 273.216737 100.572809 \nL 269.44243 103.137774 \nL 265.750771 105.859957 \nL 262.183757 108.695 \nL 258.776176 111.604821 \nL 255.555792 114.557364 \nL 252.543787 117.526144 \nL 249.755382 120.489596 \nL 247.200548 123.430341 \nL 244.884767 126.334487 \nL 242.809802 129.190963 \nL 240.974431 131.990909 \nL 239.375125 134.727168 \nL 238.006677 137.393826 \nL 236.862731 139.985841 \nL 235.936263 142.498754 \nL 235.219963 144.928422 \nL 234.706573 147.270807 \nL 234.389138 149.521814 \nL 234.261218 151.677136 \nL 234.317035 153.732114 \nL 234.551587 155.68162 \nL 234.960708 157.519951 \nL 235.541104 159.240686 \nL 236.290355 160.83661 \nL 237.206879 162.299572 \nL 238.289884 163.620386 \nL 239.539266 164.788717 \nL 240.955502 165.792979 \nL 242.5395 166.620226 \nL 244.292418 167.256066 \nL 246.215435 167.684654 \nL 248.309496 167.888633 \nL 250.574978 167.849221 \nL 253.011337 167.546333 \nL 255.616665 166.958832 \nL 258.387199 166.064933 \nL 261.316759 164.842741 \nL 264.396139 163.271053 \nL 267.612432 161.330379 \nL 270.948342 159.004231 \nL 274.381482 156.280718 \nL 277.883722 153.154383 \nL 281.420679 149.628262 \nL 284.951324 145.716065 \nL 288.427893 141.444306 \nL 291.796178 136.854149 \nL 294.99623 132.002707 \nL 297.963651 126.963505 \nL 300.631413 121.825747 \nL 302.932247 116.692219 \nL 304.801574 111.675675 \nL 306.180698 106.893767 \nL 307.020146 102.462933 \nL 307.282777 98.49166 \nL 306.946425 95.07394 \nL 306.005722 92.283562 \nL 304.472893 90.170034 \nL 302.377457 88.756627 \nL 299.764756 88.040508 \nL 296.693567 87.995154 \nL 293.232974 88.574253 \nL 289.458821 89.716721 \nL 285.450126 91.352058 \nL 281.285683 93.405515 \nL 277.041118 95.802516 \nL 272.786499 98.47216 \nL 268.584655 101.349658 \nL 264.490102 104.377773 \nL 260.548567 107.507398 \nL 256.796995 110.697487 \nL 253.263946 113.91452 \nL 249.970277 117.131677 \nL 246.929969 120.327889 \nL 244.151093 123.486881 \nL 241.636747 126.596212 \nL 239.386016 129.646486 \nL 237.394846 132.630615 \nL 235.656834 135.5432 \nL 234.163957 138.380081 \nL 232.907152 141.137907 \nL 231.876866 143.813836 \nL 231.063458 146.405287 \nL 230.457559 148.909722 \nL 230.050343 151.324521 \nL 229.833736 153.646822 \nL 229.800572 155.87339 \nL 229.944703 158.000553 \nL 230.261063 160.024051 \nL 230.745711 161.938948 \nL 231.395828 163.739541 \nL 232.2097 165.419208 \nL 233.186678 166.970324 \nL 234.327106 168.384085 \nL 235.632236 169.650407 \nL 237.104119 170.757749 \nL 238.745451 171.693013 \nL 240.559409 172.441359 \nL 242.54944 172.986117 \nL 244.719003 173.308668 \nL 247.071258 173.388421 \nL 249.608689 173.202813 \nL 252.332675 172.727454 \nL 255.242956 171.936395 \nL 258.337027 170.802539 \nL 261.609442 169.298366 \nL 265.051021 167.396874 \nL 268.648005 165.072899 \nL 272.381128 162.304806 \nL 276.224714 159.076597 \nL 280.145796 155.380407 \nL 284.103376 151.219297 \nL 288.04795 146.610252 \nL 291.921381 141.587095 \nL 295.657253 136.203028 \nL 299.181944 130.532263 \nL 302.41638 124.670454 \nL 305.278616 118.733314 \nL 307.687237 112.853163 \nL 309.565325 107.173336 \nL 310.844861 101.840613 \nL 311.471102 96.996329 \nL 311.406532 92.767092 \nL 310.633907 89.256175 \nL 309.15805 86.536814 \nL 307.006114 84.648258 \nL 304.226229 83.595025 \nL 300.884747 83.349289 \nL 297.062317 83.855898 \nL 292.849338 85.039166 \nL 288.341125 86.810317 \nL 283.633362 89.0747 \nL 278.818081 91.738105 \nL 273.980479 94.711565 \nL 269.196612 97.914762 \nL 264.531998 101.277809 \nL 260.040993 104.741965 \nL 255.766868 108.259303 \nL 251.742375 111.791816 \nL 247.990669 115.310187 \nL 244.526449 118.792361 \nL 241.357181 122.222205 \nL 238.484366 125.588228 \nL 235.90473 128.882497 \nL 233.611335 132.099702 \nL 231.59456 135.236399 \nL 229.842972 138.290444 \nL 228.344053 141.260516 \nL 227.08481 144.145812 \nL 226.052275 146.945749 \nL 225.233901 149.65978 \nL 224.617868 152.287285 \nL 224.193317 154.82741 \nL 223.950515 157.279018 \nL 223.880979 159.640588 \nL 223.977541 161.910138 \nL 224.234397 164.085171 \nL 224.647115 166.162559 \nL 225.212628 168.138483 \nL 225.929209 170.008323 \nL 226.796436 171.766537 \nL 227.815131 173.406534 \nL 228.987303 174.920524 \nL 230.316067 176.299351 \nL 231.805553 177.532317 \nL 233.46079 178.606983 \nL 235.287571 179.508968 \nL 237.292281 180.221729 \nL 239.481688 180.726357 \nL 241.862676 181.001382 \nL 244.44193 181.022624 \nL 247.225524 180.7631 \nL 250.218437 180.193062 \nL 253.423947 179.280159 \nL 256.842909 177.98983 \nL 260.472894 176.285993 \nL 264.307203 174.132077 \nL 268.333754 171.492584 \nL 272.533816 168.335133 \nL 276.880743 164.633192 \nL 281.338662 160.369385 \nL 285.861296 155.539434 \nL 290.391073 150.156515 \nL 294.858664 144.255667 \nL 299.183189 137.897833 \nL 303.273349 131.172868 \nL 307.02963 124.200655 \nL 310.347735 117.129687 \nL 313.123179 110.132396 \nL 315.256935 103.397039 \nL 316.661657 97.116508 \nL 317.267985 91.474974 \nL 317.030115 86.634067 \nL 315.930005 82.720377 \nL 313.979571 79.816231 \nL 311.22055 77.955156 \nL 307.722003 77.122398 \nL 303.57574 77.260394 \nL 298.890306 78.277707 \nL 293.784257 80.060053 \nL 288.379429 82.481492 \nL 282.794858 85.414573 \nL 277.141804 88.738275 \nL 271.520075 92.343594 \nL 266.015732 96.136703 \nL 260.69999 100.04002 \nL 255.629163 103.991764 \nL 250.845394 107.944502 \nL 246.377925 111.863168 \nL 242.244674 115.722872 \nL 238.453935 119.506786 \nL 235.006138 123.204239 \nL 231.895455 126.809118 \nL 229.111313 130.318505 \nL 226.639713 133.7317 \nL 224.464352 137.049402 \nL 222.567578 140.273162 \nL 220.931163 143.404959 \nL 219.53692 146.446929 \nL 218.367188 149.401194 \nL 217.405196 152.269736 \nL 216.635324 155.054296 \nL 216.043298 157.756377 \nL 215.616302 160.377174 \nL 215.343053 162.917586 \nL 215.213827 165.378179 \nL 215.220463 167.759192 \nL 215.356345 170.060471 \nL 215.616367 172.281461 \nL 215.996892 174.421177 \nL 216.49571 176.478117 \nL 217.111988 178.450224 \nL 217.846229 180.33477 \nL 218.700229 182.128287 \nL 219.677037 183.826431 \nL 220.780913 185.423843 \nL 222.017305 186.913994 \nL 223.392797 188.288979 \nL 224.915074 189.539307 \nL 226.592864 190.653653 \nL 228.435879 191.61857 \nL 230.454716 192.418168 \nL 232.660741 193.033785 \nL 235.065913 193.443605 \nL 237.682559 193.6223 \nL 240.523077 193.540643 \nL 243.599513 193.165207 \nL 246.923039 192.458116 \nL 250.503275 191.376963 \nL 254.347414 189.874971 \nL 258.459159 187.901501 \nL 262.837394 185.403065 \nL 267.474637 182.325018 \nL 272.35522 178.614102 \nL 277.453281 174.222011 \nL 282.730621 169.110174 \nL 288.134563 163.255753 \nL 293.596104 156.65866 \nL 299.028515 149.349314 \nL 304.32698 141.396254 \nL 309.369517 132.9125 \nL 314.019729 124.059157 \nL 318.131641 115.044616 \nL 321.556719 106.117893 \nL 324.152892 97.555449 \nL 325.794753 89.641877 \nL 326.383983 82.646432 \nL 325.85859 76.798584 \nL 324.199558 72.266814 \nL 321.433778 69.14424 \nL 317.632758 67.443723 \nL 312.907214 67.102801 \nL 307.398373 67.997141 \nL 301.267342 69.959124 \nL 294.683907 72.798205 \nL 287.816156 76.319647 \nL 280.821884 80.339432 \nL 273.842245 84.694416 \nL 266.997839 89.247716 \nL 260.386923 93.890155 \nL 254.085467 98.538833 \nL 248.148446 103.134032 \nL 242.612021 107.635223 \nL 237.496134 112.017018 \nL 232.807259 116.265411 \nL 228.541089 120.374545 \nL 224.684996 124.344143 \nL 221.220221 128.177477 \nL 218.123738 131.879887 \nL 215.369818 135.457745 \nL 212.93128 138.917758 \nL 210.780484 142.26651 \nL 208.890093 145.51022 \nL 207.233637 148.6546 \nL 205.785911 151.704817 \nL 204.52324 154.665494 \nL 202.466863 160.334326 \nL 200.909729 165.689143 \nL 199.724445 170.752659 \nL 198.808401 175.543772 \nL 197.765607 182.254685 \nL 195.103679 201.014537 \nL 194.101168 205.687882 \nL 193.288433 208.579991 \nL 192.321388 211.296419 \nL 191.160908 213.836162 \nL 189.76053 216.193521 \nL 188.064323 218.356097 \nL 187.08463 219.357919 \nL 186.00448 220.301771 \nL 184.8131 221.182633 \nL 183.498622 221.994216 \nL 182.047992 222.728675 \nL 180.446871 223.376289 \nL 178.679549 223.925073 \nL 176.728871 224.360302 \nL 174.576175 224.663956 \nL 172.201266 224.81406 \nL 169.582446 224.783927 \nL 166.696594 224.541269 \nL 163.519369 224.047229 \nL 160.025519 223.255294 \nL 156.18942 222.1102 \nL 151.985815 220.546846 \nL 147.390915 218.489385 \nL 142.383897 215.850695 \nL 136.948939 212.532524 \nL 131.077859 208.426729 \nL 124.773499 203.418184 \nL 118.053864 197.390033 \nL 110.957019 190.23204 \nL 103.546557 181.852755 \nL 95.9173 172.195852 \nL 88.200437 161.260347 \nL 80.567211 149.12327 \nL 73.229713 135.961541 \nL 66.437204 122.068239 \nL 60.466597 107.85676 \nL 55.606178 93.846504 \nL 52.133173 80.626216 \nL 50.287036 68.795931 \nL 50.242428 58.895785 \nL 52.086758 51.335689 \nL 55.806981 46.342645 \nL 61.288743 43.938448 \nL 68.328266 43.952513 \nL 76.654475 46.064357 \nL 85.956747 49.862747 \nL 95.913331 54.906773 \nL 106.216085 60.776743 \nL 116.588875 67.108542 \nL 126.798874 73.610658 \nL 146.038927 86.329811 \nL 163.003754 97.956308 \nL 177.359438 108.215183 \nL 183.56845 112.848331 \nL 189.169875 117.180036 \nL 194.204876 121.236314 \nL 198.720248 125.042828 \nL 202.765737 128.623327 \nL 206.392017 131.998794 \nL 212.58579 138.203017 \nL 217.679276 143.762129 \nL 227.684525 155.167567 \nL 231.261966 158.750448 \nL 233.060601 160.319179 \nL 234.892844 161.73073 \nL 236.776593 162.976729 \nL 238.728028 164.047319 \nL 240.761671 164.931105 \nL 242.890441 165.615141 \nL 245.125611 166.084931 \nL 247.476742 166.324447 \nL 249.951544 166.316237 \nL 252.555659 166.041595 \nL 255.292388 165.480839 \nL 258.162315 164.613721 \nL 261.162899 163.420014 \nL 264.287974 161.880304 \nL 267.527201 159.977004 \nL 270.865479 157.695627 \nL 274.282374 155.026318 \nL 277.751605 151.965633 \nL 281.240587 148.518461 \nL 284.710184 144.700091 \nL 288.114724 140.53812 \nL 291.402341 136.074161 \nL 294.515764 131.364915 \nL 297.393601 126.482472 \nL 299.972147 121.513492 \nL 302.187742 116.557056 \nL 303.979493 111.721172 \nL 305.292363 107.117983 \nL 306.080264 102.857955 \nL 306.308983 99.043662 \nL 305.958584 95.763707 \nL 305.025071 93.0875 \nL 303.521094 91.06158 \nL 301.475595 89.707765 \nL 298.932425 89.023452 \nL 295.948086 88.983743 \nL 292.588789 89.545141 \nL 288.92715 90.650177 \nL 285.0388 92.232371 \nL 280.999219 94.221012 \nL 276.880946 96.545293 \nL 272.751359 99.137643 \nL 268.671025 101.936039 \nL 264.692678 104.885367 \nL 260.860748 107.938091 \nL 257.211326 111.054206 \nL 253.772521 114.200778 \nL 250.565075 117.351253 \nL 247.603141 120.484553 \nL 244.895167 123.584191 \nL 242.444797 126.637423 \nL 240.251762 129.634449 \nL 238.312725 132.567741 \nL 236.622038 135.43146 \nL 235.172427 138.220967 \nL 233.955577 140.932473 \nL 232.96264 143.562685 \nL 232.18464 146.10859 \nL 231.612822 148.56724 \nL 231.23892 150.935584 \nL 231.05536 153.210349 \nL 231.055417 155.38788 \nL 231.233322 157.464062 \nL 231.584325 159.434188 \nL 232.104737 161.29287 \nL 232.791926 163.033909 \nL 233.644299 164.650186 \nL 234.661249 166.133538 \nL 235.84308 167.474627 \nL 237.19092 168.662813 \nL 238.706582 169.686011 \nL 240.392428 170.530557 \nL 242.251161 171.181123 \nL 244.285601 171.620581 \nL 246.498414 171.829985 \nL 248.891767 171.788554 \nL 251.466937 171.473763 \nL 254.223851 170.861566 \nL 257.16052 169.926752 \nL 260.272437 168.643475 \nL 263.551859 166.986093 \nL 266.98702 164.930263 \nL 270.561322 162.45438 \nL 274.252448 159.541354 \nL 278.031562 156.180814 \nL 281.862557 152.371573 \nL 285.701507 148.124328 \nL 289.49641 143.464408 \nL 293.187333 138.434247 \nL 296.707135 133.095314 \nL 299.982779 127.528998 \nL 302.937428 121.836119 \nL 305.493263 116.134659 \nL 307.574903 110.555511 \nL 309.113369 105.236375 \nL 310.050151 100.314098 \nL 310.341147 95.916208 \nL 309.959918 92.152609 \nL 308.900007 89.108381 \nL 307.175909 86.838754 \nL 304.822666 85.366731 \nL 301.893965 84.683681 \nL 298.459093 84.752669 \nL 294.598993 85.513798 \nL 290.401916 86.890692 \nL 285.958973 88.797427 \nL 281.360087 91.144787 \nL 276.690572 93.845585 \nL 272.028434 96.818662 \nL 267.442564 99.99147 \nL 262.991685 103.301336 \nL 258.724019 106.695844 \nL 254.677515 110.132338 \nL 250.880489 113.577013 \nL 247.352557 117.003738 \nL 244.105728 120.392773 \nL 241.14558 123.729555 \nL 238.472392 127.003567 \nL 236.082269 130.207387 \nL 233.968124 133.335864 \nL 232.120587 136.385488 \nL 230.528778 139.353858 \nL 229.180963 142.239269 \nL 228.065105 145.040449 \nL 227.169298 147.756289 \nL 226.482136 150.385678 \nL 225.99297 152.927354 \nL 225.69212 155.379823 \nL 225.571023 157.74123 \nL 225.622334 160.009287 \nL 225.839985 162.181201 \nL 226.219214 164.253566 \nL 226.756576 166.222266 \nL 227.449918 168.082403 \nL 228.298355 169.82814 \nL 229.30221 171.452607 \nL 230.462956 172.947738 \nL 231.783129 174.304108 \nL 233.266231 175.51078 \nL 234.916612 176.555105 \nL 236.73931 177.422538 \nL 238.739879 178.096461 \nL 240.924157 178.557983 \nL 243.297996 178.785807 \nL 245.866915 178.756126 \nL 248.635688 178.442569 \nL 251.607843 177.816326 \nL 254.785038 176.846377 \nL 258.166358 175.499987 \nL 261.747468 173.743466 \nL 265.519644 171.543316 \nL 269.468711 168.867816 \nL 273.573871 165.689143 \nL 277.806544 161.986035 \nL 282.129214 157.747019 \nL 286.494435 152.974095 \nL 290.844168 147.686698 \nL 295.109589 141.925607 \nL 299.211536 135.75627 \nL 303.061874 129.271032 \nL 306.565847 122.589431 \nL 309.62551 115.856084 \nL 312.144253 109.235625 \nL 314.032053 102.904611 \nL 315.211212 97.040917 \nL 315.621944 91.811552 \nL 315.22718 87.360405 \nL 314.016004 83.797569 \nL 312.005214 81.191881 \nL 309.238767 79.567567 \nL 305.785161 78.905548 \nL 301.733045 79.148796 \nL 297.185608 80.210641 \nL 292.254463 81.984643 \nL 287.053584 84.354585 \nL 281.693877 87.203311 \nL 276.278775 90.419712 \nL 270.900976 93.903589 \nL 265.640417 97.568385 \nL 260.563331 101.342176 \nL 255.722231 105.167252 \nL 251.156578 108.998884 \nL 246.893914 112.80357 \nL 242.951322 116.557104 \nL 239.336983 120.242711 \nL 236.051753 123.849341 \nL 233.090665 127.37021 \nL 230.444314 130.801604 \nL 228.10007 134.141936 \nL 226.043134 137.391023 \nL 224.257419 140.549545 \nL 222.726286 143.61866 \nL 221.433119 146.599717 \nL 220.361795 149.494084 \nL 219.497027 152.303015 \nL 218.824627 155.027562 \nL 218.331686 157.66851 \nL 218.006702 160.226347 \nL 217.839647 162.701225 \nL 217.822009 165.092926 \nL 217.946799 167.400816 \nL 218.208538 169.623807 \nL 218.603232 171.760289 \nL 219.128342 173.808091 \nL 219.782733 175.764391 \nL 220.566639 177.625599 \nL 221.481611 179.387268 \nL 222.530478 181.043952 \nL 223.717291 182.589058 \nL 225.047272 184.01466 \nL 226.526753 185.311299 \nL 228.16311 186.467752 \nL 229.964673 187.470775 \nL 231.940616 188.304824 \nL 234.100815 188.951754 \nL 236.45566 189.390494 \nL 239.01581 189.596746 \nL 241.79188 189.54268 \nL 244.794021 189.196705 \nL 248.031394 188.523328 \nL 251.511505 187.483161 \nL 255.239377 186.033183 \nL 259.216532 184.127343 \nL 263.439773 181.71763 \nL 267.89975 178.755734 \nL 272.579336 175.19552 \nL 277.45185 170.996347 \nL 282.479199 166.127424 \nL 287.61009 160.573125 \nL 292.778504 154.339173 \nL 297.902693 147.459161 \nL 302.88506 140.000921 \nL 307.613248 132.071533 \nL 311.962769 123.819909 \nL 315.801467 115.435533 \nL 318.995736 107.142287 \nL 321.418413 99.186882 \nL 322.957603 91.822326 \nL 323.525602 85.288041 \nL 323.066821 79.789344 \nL 321.563471 75.479426 \nL 319.038197 72.446929 \nL 315.553136 70.711258 \nL 311.205485 70.225987 \nL 306.12026 70.889384 \nL 300.441266 72.559588 \nL 294.321436 75.071659 \nL 287.91371 78.25371 \nL 281.36326 81.940207 \nL 274.801592 85.981501 \nL 268.342677 90.249395 \nL 262.080977 94.63917 \nL 256.091055 99.06919 \nL 250.428435 103.478658 \nL 245.131288 107.824476 \nL 240.222577 112.077921 \nL 235.712452 116.221367 \nL 231.60061 120.2454 \nL 227.878543 124.146421 \nL 224.531552 127.924776 \nL 221.540507 131.583276 \nL 218.883336 135.12618 \nL 216.536249 138.558417 \nL 214.474719 141.885151 \nL 212.67426 145.111418 \nL 211.111003 148.242001 \nL 209.762127 151.2813 \nL 208.606155 154.233336 \nL 207.623152 157.101735 \nL 206.104605 162.600336 \nL 205.080474 167.799589 \nL 204.450975 172.718 \nL 204.140353 177.37108 \nL 204.094004 181.772026 \nL 204.275576 185.93205 \nL 204.664397 189.860456 \nL 205.253446 193.564488 \nL 206.047921 197.048886 \nL 207.064439 200.315177 \nL 208.33085 203.360582 \nL 209.886633 206.176349 \nL 210.788775 207.493178 \nL 211.783832 208.745328 \nL 212.880504 209.928754 \nL 214.088478 211.038359 \nL 215.418488 212.067777 \nL 216.88238 213.009117 \nL 218.493174 213.852682 \nL 220.265112 214.586593 \nL 222.213705 215.196374 \nL 224.355752 215.664465 \nL 226.709324 215.96964 \nL 229.2937 216.08636 \nL 232.12924 215.984045 \nL 235.237151 215.626258 \nL 238.639145 214.969875 \nL 242.35689 213.964226 \nL 246.411276 212.550359 \nL 250.821377 210.66046 \nL 255.603044 208.217702 \nL 260.767082 205.136727 \nL 266.316903 201.325099 \nL 272.245619 196.686215 \nL 278.532527 191.124146 \nL 285.139104 184.550974 \nL 292.00457 176.897022 \nL 299.041506 168.124207 \nL 306.131933 158.242088 \nL 313.124806 147.325318 \nL 319.835867 135.53012 \nL 326.051023 123.105991 \nL 331.534282 110.398215 \nL 336.040811 97.836511 \nL 339.334651 85.90727 \nL 341.209729 75.109913 \nL 341.511267 65.903037 \nL 340.154113 58.649915 \nL 337.134414 53.575137 \nL 332.532161 50.742295 \nL 326.503914 50.057254 \nL 319.267119 51.294851 \nL 311.079006 54.140994 \nL 302.21382 58.239756 \nL 292.941824 63.2359 \nL 283.512479 68.806724 \nL 274.142961 74.681038 \nL 265.011984 80.64652 \nL 256.258194 86.5482 \nL 247.981884 92.281438 \nL 240.248899 97.782469 \nL 233.095668 103.018513 \nL 226.534557 107.978824 \nL 220.559057 112.667258 \nL 215.148445 117.096504 \nL 210.271807 121.28386 \nL 205.891372 125.248358 \nL 201.965193 129.008838 \nL 198.449239 132.582821 \nL 195.298983 135.985911 \nL 192.470562 139.231535 \nL 187.611749 145.293132 \nL 183.559951 150.83302 \nL 175.262316 162.586184 \nL 172.129498 166.44454 \nL 170.517952 168.179915 \nL 168.852418 169.777858 \nL 167.116397 171.230419 \nL 165.294371 172.528068 \nL 163.371711 173.65957 \nL 161.334627 174.611837 \nL 159.170168 175.36977 \nL 156.866268 175.916126 \nL 154.411863 176.231405 \nL 151.797084 176.293753 \nL 149.013534 176.079 \nL 146.054639 175.560717 \nL 142.916134 174.710497 \nL 139.596642 173.498419 \nL 136.098368 171.89372 \nL 132.427915 169.865887 \nL 128.597213 167.386062 \nL 124.624487 164.428955 \nL 120.535327 160.975228 \nL 116.363637 157.014337 \nL 112.15252 152.547842 \nL 107.954857 147.592899 \nL 103.833502 142.185733 \nL 99.860873 136.384694 \nL 96.117794 130.27228 \nL 92.691479 123.955666 \nL 89.672495 117.565136 \nL 87.150865 111.249909 \nL 85.211372 105.171443 \nL 83.92846 99.494315 \nL 83.361152 94.375599 \nL 83.548508 89.953941 \nL 84.506261 86.339551 \nL 86.224974 83.606833 \nL 88.670045 81.790366 \nL 91.783613 80.884927 \nL 95.488112 80.849141 \nL 99.690989 81.61224 \nL 104.2902 83.082388 \nL 109.179706 85.155671 \nL 114.254617 87.724311 \nL 119.415524 90.683609 \nL 124.571834 93.936964 \nL 129.644052 97.39912 \nL 134.56499 100.997608 \nL 139.280114 104.672948 \nL 143.747216 108.377903 \nL 147.93552 112.076084 \nL 151.824504 115.740335 \nL 155.402503 119.351041 \nL 158.665279 122.894558 \nL 161.614617 126.361786 \nL 164.257 129.747022 \nL 166.60242 133.046975 \nL 168.663345 136.260008 \nL 170.453821 139.385586 \nL 171.988724 142.423815 \nL 173.283156 145.375143 \nL 174.351958 148.240154 \nL 175.209326 151.019384 \nL 175.868527 153.713207 \nL 176.341687 156.321776 \nL 176.639643 158.844927 \nL 176.771851 161.282144 \nL 176.746321 163.632509 \nL 176.569603 165.894634 \nL 176.246772 168.066615 \nL 175.781455 170.145955 \nL 175.175857 172.129467 \nL 174.430797 174.013199 \nL 173.545753 175.792321 \nL 172.518914 177.460965 \nL 171.347238 179.012119 \nL 170.026516 180.43742 \nL 168.551448 181.726969 \nL 166.915731 182.869121 \nL 165.112167 183.850242 \nL 163.132804 184.654452 \nL 160.969089 185.263371 \nL 158.612113 185.655843 \nL 156.052866 185.807699 \nL 153.2826 185.691524 \nL 150.293262 185.276542 \nL 147.078063 184.528589 \nL 143.632165 183.410286 \nL 139.953513 181.881455 \nL 136.043848 179.899914 \nL 131.90988 177.42272 \nL 127.564658 174.408011 \nL 123.029032 170.817571 \nL 118.333276 166.620178 \nL 113.518645 161.795757 \nL 108.638794 156.340357 \nL 103.760887 150.271584 \nL 98.96608 143.634113 \nL 94.349136 136.504634 \nL 90.016843 128.995251 \nL 86.085081 121.254303 \nL 82.674262 113.463666 \nL 79.903365 105.831664 \nL 77.882757 98.58168 \nL 76.706469 91.936956 \nL 76.444708 86.103384 \nL 77.137553 81.252526 \nL 78.790793 77.507546 \nL 81.374488 74.934237 \nL 84.824547 73.538666 \nL 89.04719 73.271343 \nL 93.925536 74.036969 \nL 99.327607 75.707518 \nL 105.114608 78.136612 \nL 111.148687 81.172859 \nL 117.299476 84.670821 \nL 123.449037 88.49872 \nL 129.495098 92.543095 \nL 135.352687 96.71052 \nL 140.954442 100.92728 \nL 146.249869 105.137571 \nL 151.203892 109.300977 \nL 155.794989 113.389673 \nL 160.01313 117.385709 \nL 163.857701 121.278568 \nL 167.33553 125.063104 \nL 170.459106 128.737899 \nL 173.244998 132.303988 \nL 175.712519 135.763896 \nL 177.882609 139.120991 \nL 179.776935 142.378996 \nL 181.417171 145.54169 \nL 182.824454 148.612719 \nL 184.018969 151.595498 \nL 185.019662 154.493157 \nL 185.844034 157.308508 \nL 186.50803 160.044069 \nL 187.025971 162.702067 \nL 187.67279 167.792911 \nL 187.866738 172.593659 \nL 187.665704 177.113058 \nL 187.105244 181.35591 \nL 186.200618 185.32249 \nL 184.948473 189.00738 \nL 184.186242 190.740515 \nL 183.328009 192.397658 \nL 182.368546 193.975575 \nL 181.301581 195.470161 \nL 180.11979 196.876277 \nL 178.81479 198.187574 \nL 177.377121 199.39627 \nL 175.796245 200.492886 \nL 174.06054 201.465965 \nL 172.157315 202.301713 \nL 170.072849 202.98361 \nL 167.792452 203.49197 \nL 165.300591 203.803432 \nL 162.581057 203.890442 \nL 159.61724 203.720684 \nL 156.3925 203.25654 \nL 152.890691 202.454568 \nL 149.096862 201.265148 \nL 144.998197 199.632309 \nL 140.585216 197.493951 \nL 135.853299 194.782618 \nL 130.804584 191.427082 \nL 125.450229 187.355002 \nL 119.813029 182.497015 \nL 113.930385 176.792497 \nL 107.857352 170.197232 \nL 101.6696 162.692987 \nL 95.465832 154.298526 \nL 89.369152 145.081172 \nL 83.52666 135.167305 \nL 78.106636 124.749461 \nL 73.292689 114.087383 \nL 69.27459 103.500378 \nL 66.236003 93.349463 \nL 64.340117 84.009625 \nL 63.714739 75.835007 \nL 64.43903 69.122558 \nL 66.534132 64.080733 \nL 69.959414 60.809581 \nL 74.615101 59.296165 \nL 80.350986 59.425396 \nL 86.97959 61.003131 \nL 94.291724 63.785835 \nL 102.072084 67.51074 \nL 110.112967 71.921681 \nL 118.224984 76.787734 \nL 126.2441 81.914124 \nL 134.035351 87.146149 \nL 141.493598 92.367993 \nL 148.54217 97.498249 \nL 155.130086 102.483936 \nL 161.228524 107.294195 \nL 166.827 111.914464 \nL 171.929665 116.34147 \nL 176.551888 120.579328 \nL 180.717258 124.636525 \nL 184.455044 128.523758 \nL 187.798123 132.2525 \nL 190.78131 135.834032 \nL 193.440072 139.278889 \nL 195.809556 142.596572 \nL 197.923887 145.795435 \nL 201.515749 151.864428 \nL 204.453923 157.530993 \nL 208.078136 165.340355 \nL 212.302058 174.539012 \nL 214.449562 178.62102 \nL 216.769049 182.341509 \nL 218.025197 184.057991 \nL 219.362251 185.672315 \nL 220.79269 187.178283 \nL 222.329126 188.5683 \nL 223.9844 189.833176 \nL 225.771645 190.961866 \nL 227.704328 191.941183 \nL 229.796255 192.755498 \nL 232.061534 193.386391 \nL 234.514478 193.812271 \nL 237.169441 194.008017 \nL 240.040585 193.944588 \nL 243.141505 193.588686 \nL 246.484761 192.902521 \nL 250.081232 191.843695 \nL 253.939286 190.365323 \nL 258.06374 188.416535 \nL 262.454567 185.943422 \nL 267.105358 182.890698 \nL 272.00151 179.204186 \nL 277.118231 174.83436 \nL 282.418347 169.741087 \nL 287.850173 163.899611 \nL 293.34556 157.307666 \nL 298.818472 149.993297 \nL 304.164466 142.022649 \nL 309.261567 133.506651 \nL 313.972884 124.604873 \nL 318.151367 115.525132 \nL 321.646806 106.517173 \nL 324.314862 97.859667 \nL 326.027376 89.8409 \nL 326.683014 82.735074 \nL 326.216758 76.777362 \nL 324.606825 72.142003 \nL 321.877925 68.927228 \nL 318.100137 67.149762 \nL 313.383622 66.749401 \nL 307.869949 67.602329 \nL 301.721307 69.539989 \nL 295.10915 72.369731 \nL 288.203607 75.894064 \nL 281.164645 79.925981 \nL 274.135567 84.299471 \nL 267.238939 88.875141 \nL 260.574723 93.541769 \nL 254.220288 98.214923 \nL 248.231692 102.833804 \nL 242.64588 107.357193 \nL 237.48331 111.759322 \nL 232.75075 116.026028 \nL 228.444003 120.151477 \nL 224.550405 124.135485 \nL 221.051054 127.981488 \nL 217.922706 131.695016 \nL 215.13935 135.282624 \nL 212.673496 138.751201 \nL 210.497171 142.107502 \nL 208.5827 145.357881 \nL 206.903271 148.508175 \nL 205.433342 151.563655 \nL 204.148908 154.529029 \nL 202.04906 160.205794 \nL 200.446491 165.566897 \nL 199.211461 170.635235 \nL 197.824394 177.729493 \nL 196.139238 188.322372 \nL 194.892181 195.796884 \nL 193.814984 200.868293 \nL 192.965138 204.006641 \nL 191.967778 206.954605 \nL 190.782142 209.71158 \nL 189.361017 212.272196 \nL 187.648504 214.624331 \nL 186.662535 215.715876 \nL 185.577574 216.746131 \nL 184.383067 217.710133 \nL 183.067426 218.60166 \nL 181.617934 219.412966 \nL 180.020656 220.134472 \nL 178.260364 220.75439 \nL 176.320462 221.258272 \nL 174.182936 221.628473 \nL 171.828343 221.843547 \nL 169.235835 221.877508 \nL 166.383264 221.699017 \nL 163.247367 221.270467 \nL 159.8041 220.546994 \nL 156.029142 219.475447 \nL 151.898628 217.993435 \nL 147.390199 216.0285 \nL 142.484453 213.497694 \nL 137.166856 210.307787 \nL 131.430251 206.356503 \nL 125.278026 201.535312 \nL 118.727999 195.734373 \nL 111.816957 188.850333 \nL 104.605752 180.797575 \nL 97.184529 171.523251 \nL 89.677514 161.025854 \nL 82.246424 149.375953 \nL 75.091232 136.736343 \nL 68.446953 123.377236 \nL 62.575031 109.680767 \nL 57.748695 96.129067 \nL 54.23248 83.272226 \nL 52.257741 71.676653 \nL 51.997493 61.860537 \nL 53.544923 54.228602 \nL 56.899982 49.021034 \nL 61.967027 46.288832 \nL 68.564265 45.900775 \nL 76.442943 47.578481 \nL 85.312594 50.948819 \nL 94.867573 55.600406 \nL 104.810866 61.132592 \nL 114.872504 67.190313 \nL 124.82145 73.483112 \nL 134.471283 79.790396 \nL 152.35121 91.883928 \nL 167.858775 102.827145 \nL 174.659712 107.818199 \nL 180.836996 112.500309 \nL 186.418136 116.893156 \nL 191.440399 121.019781 \nL 195.947337 124.903742 \nL 199.986043 128.567333 \nL 203.605058 132.030618 \nL 206.852807 135.310965 \nL 212.421333 141.378303 \nL 217.042686 146.854151 \nL 226.366259 158.196543 \nL 229.814889 161.791566 \nL 231.572268 163.371875 \nL 233.377032 164.79798 \nL 235.246208 166.060962 \nL 237.195374 167.150335 \nL 239.238721 168.053966 \nL 241.389083 168.758 \nL 243.657896 169.24684 \nL 246.055093 169.503111 \nL 248.588953 169.507723 \nL 251.265858 169.239979 \nL 254.089965 168.677845 \nL 257.062815 167.798288 \nL 260.182838 166.577876 \nL 263.444784 164.993558 \nL 266.839083 163.023729 \nL 270.351157 160.649596 \nL 273.960688 157.856864 \nL 277.640963 154.637755 \nL 281.358257 150.993234 \nL 285.071427 146.935463 \nL 288.731756 142.490229 \nL 292.283209 137.699097 \nL 295.663134 132.621027 \nL 298.803595 127.333065 \nL 301.633319 121.929737 \nL 304.080292 116.520926 \nL 306.07492 111.227997 \nL 307.553607 106.17825 \nL 308.462449 101.498141 \nL 308.76074 97.305694 \nL 308.423941 93.703131 \nL 307.445779 90.770414 \nL 305.839156 88.560704 \nL 303.635828 87.098039 \nL 300.884787 86.377691 \nL 297.649587 86.368926 \nL 294.004842 87.019482 \nL 290.032303 88.261347 \nL 285.816859 90.016806 \nL 281.442837 92.204144 \nL 276.990775 94.742586 \nL 272.534882 97.556023 \nL 268.141256 100.575583 \nL 263.866818 103.741052 \nL 259.758852 107.001373 \nL 255.855129 110.314387 \nL 252.184399 113.646145 \nL 248.767187 116.969914 \nL 245.616749 120.265063 \nL 242.740136 123.515988 \nL 240.139225 126.711071 \nL 237.811768 129.841787 \nL 235.752322 132.901937 \nL 233.9531 135.887003 \nL 232.404721 138.793665 \nL 231.096841 141.61936 \nL 230.018699 144.36202 \nL 229.15955 147.01978 \nL 228.509014 149.590811 \nL 228.057363 152.073172 \nL 227.795722 154.464681 \nL 227.716228 156.762803 \nL 227.812135 158.964551 \nL 228.07788 161.066405 \nL 228.509118 163.064184 \nL 229.102728 164.952969 \nL 229.856799 166.72698 \nL 230.770586 168.379464 \nL 231.844459 169.902554 \nL 233.079826 171.287121 \nL 234.479029 172.522633 \nL 236.045237 173.596974 \nL 237.782289 174.496308 \nL 239.694512 175.204878 \nL 241.786515 175.704885 \nL 244.062897 175.976379 \nL 246.527946 175.997142 \nL 249.185223 175.742756 \nL 252.037092 175.18665 \nL 255.084163 174.300424 \nL 258.324614 173.054273 \nL 261.753426 171.41774 \nL 265.361518 169.360781 \nL 269.134775 166.855216 \nL 273.053026 163.876628 \nL 277.089013 160.40674 \nL 281.207375 156.436271 \nL 285.363821 151.96815 \nL 289.50456 147.020957 \nL 293.566137 141.632297 \nL 297.475904 135.861656 \nL 301.153185 129.792328 \nL 304.511368 123.531699 \nL 307.460893 117.209516 \nL 309.91317 110.97364 \nL 311.785182 104.983271 \nL 313.004508 99.399913 \nL 313.514242 94.377015 \nL 313.277356 90.049223 \nL 312.279908 86.522882 \nL 310.532733 83.868911 \nL 308.071296 82.119213 \nL 304.953725 81.26684 \nL 301.257296 81.269768 \nL 297.073705 82.057497 \nL 292.503737 83.539337 \nL 287.65186 85.613041 \nL 282.62124 88.172858 \nL 277.509513 91.116178 \nL 272.405571 94.348405 \nL 267.387389 97.786009 \nL 262.520841 101.358021 \nL 257.859363 105.00612 \nL 253.444324 108.683911 \nL 249.305878 112.355587 \nL 245.464146 115.994357 \nL 241.930565 119.580798 \nL 238.709294 123.101312 \nL 235.798598 126.546781 \nL 233.19214 129.911407 \nL 230.880134 133.191754 \nL 228.850376 136.386034 \nL 227.089121 139.493528 \nL 225.581807 142.514188 \nL 224.313661 145.448283 \nL 223.270169 148.296225 \nL 222.437458 151.058376 \nL 221.802579 153.734947 \nL 221.353706 156.325909 \nL 221.080295 158.830919 \nL 220.973173 161.249277 \nL 221.024594 163.579864 \nL 221.228263 165.821072 \nL 221.579344 167.970749 \nL 222.074438 170.02613 \nL 222.711557 171.98374 \nL 223.490083 173.839294 \nL 224.410725 175.587585 \nL 225.475462 177.222339 \nL 226.687486 178.73607 \nL 228.051126 180.119892 \nL 229.571774 181.363326 \nL 231.255782 182.454082 \nL 233.110346 183.377816 \nL 235.143347 184.117889 \nL 237.363171 184.655098 \nL 239.77847 184.967435 \nL 242.39785 185.029849 \nL 245.229497 184.814087 \nL 248.280693 184.28859 \nL 251.557207 183.418572 \nL 255.062579 182.166273 \nL 258.797215 180.49152 \nL 262.757349 178.352664 \nL 266.933822 175.708033 \nL 271.310691 172.518002 \nL 275.863748 168.747771 \nL 280.558976 164.37097 \nL 285.351042 159.373983 \nL 290.182047 153.760992 \nL 294.980669 147.559304 \nL 299.662004 140.82457 \nL 304.128366 133.645058 \nL 308.27131 126.144066 \nL 311.975125 118.479522 \nL 315.12176 110.839778 \nL 317.59713 103.435179 \nL 319.298339 96.485548 \nL 320.141187 90.204576 \nL 320.067124 84.783039 \nL 319.048665 80.373112 \nL 317.092562 77.076298 \nL 314.240152 74.936916 \nL 310.564831 73.94207 \nL 306.166918 74.027631 \nL 301.166713 75.088958 \nL 295.696542 76.994182 \nL 289.892801 79.597918 \nL 283.888754 82.753503 \nL 277.808675 86.322634 \nL 271.763558 90.181937 \nL 265.84848 94.226466 \nL 260.141439 98.370754 \nL 254.70339 102.547996 \nL 249.579206 106.708092 \nL 244.799223 110.815082 \nL 240.381126 114.844483 \nL 236.331978 118.780678 \nL 232.650211 122.61472 \nL 229.327504 126.34241 \nL 226.350465 129.962837 \nL 223.702105 133.477218 \nL 221.363077 136.888059 \nL 219.312709 140.198557 \nL 217.529839 143.412203 \nL 215.993459 146.532489 \nL 214.683222 149.562785 \nL 213.579808 152.50621 \nL 212.665188 155.365595 \nL 211.922792 158.143495 \nL 211.337621 160.84215 \nL 210.896293 163.463531 \nL 210.587052 166.009321 \nL 210.325797 170.879593 \nL 210.491109 175.461302 \nL 211.04344 179.758474 \nL 211.964499 183.770197 \nL 212.562971 185.667082 \nL 213.255553 187.489361 \nL 214.045254 189.234859 \nL 214.936176 190.900714 \nL 215.933506 192.483262 \nL 217.043507 193.977905 \nL 218.273522 195.378926 \nL 219.631975 196.679316 \nL 221.128368 197.87052 \nL 222.773284 198.942187 \nL 224.578364 199.881848 \nL 226.556284 200.674571 \nL 228.720686 201.302551 \nL 231.086083 201.744669 \nL 233.667714 201.975995 \nL 236.481303 201.967278 \nL 239.54276 201.684431 \nL 242.867714 201.088027 \nL 246.470933 200.132913 \nL 250.365505 198.767975 \nL 254.561813 196.936184 \nL 259.066211 194.575127 \nL 263.879377 191.618154 \nL 268.994329 187.996429 \nL 274.394074 183.642191 \nL 280.048949 178.493444 \nL 285.913779 172.500367 \nL 291.925 165.633493 \nL 297.998116 157.893483 \nL 304.025899 149.321805 \nL 309.877941 140.011255 \nL 315.402148 130.114343 \nL 320.428814 119.847354 \nL 324.777742 109.487466 \nL 328.268358 99.361008 \nL 330.732373 89.822089 \nL 332.027796 81.223151 \nL 332.052434 73.8811 \nL 330.754954 68.044753 \nL 328.141447 63.86975 \nL 324.27633 61.40598 \nL 319.277271 60.599593 \nL 313.30502 61.308383 \nL 306.549815 63.326379 \nL 299.21649 66.412344 \nL 291.510291 70.316695 \nL 283.624967 74.803265 \nL 275.733958 79.663959 \nL 267.984932 84.726528 \nL 260.497378 89.856305 \nL 253.362623 94.953971 \nL 246.645669 99.950785 \nL 240.388097 104.80283 \nL 234.611541 109.485274 \nL 229.321279 113.987144 \nL 224.509679 118.306984 \nL 220.159311 122.449474 \nL 216.245676 126.422832 \nL 212.739469 130.237049 \nL 209.608448 133.90263 \nL 206.818911 137.429823 \nL 204.336834 140.828168 \nL 202.128722 144.106257 \nL 200.162223 147.271668 \nL 196.832695 153.289748 \nL 194.12436 158.924077 \nL 191.844496 164.203954 \nL 186.063231 178.071602 \nL 184.088399 182.049094 \nL 181.921737 185.689127 \nL 180.737543 187.375224 \nL 179.470712 188.966312 \nL 178.109496 190.456726 \nL 176.641855 191.83948 \nL 175.055366 193.106065 \nL 173.337154 194.246189 \nL 171.473833 195.247494 \nL 169.451503 196.095231 \nL 167.255754 196.771895 \nL 164.871739 197.256822 \nL 162.284302 197.525771 \nL 159.478184 197.550476 \nL 156.43832 197.298215 \nL 153.150276 196.73144 \nL 149.600824 195.807495 \nL 145.778712 194.478539 \nL 141.675655 192.691753 \nL 137.287581 190.389986 \nL 132.61615 187.513043 \nL 127.670598 183.999786 \nL 122.469842 179.791313 \nL 117.044841 174.835422 \nL 111.441065 169.09253 \nL 105.720911 162.542983 \nL 99.965748 155.19566 \nL 94.277205 147.097054 \nL 88.777222 138.339951 \nL 83.60631 129.069932 \nL 78.919583 119.487974 \nL 74.880205 109.84697 \nL 71.650324 100.440784 \nL 69.379953 91.585451 \nL 68.194929 83.593858 \nL 68.185314 76.747087 \nL 69.396043 71.26703 \nL 71.821339 67.29526 \nL 75.403913 64.882126 \nL 80.039224 63.987882 \nL 85.584027 64.494873 \nL 91.86799 66.22777 \nL 98.706475 68.977252 \nL 105.912969 72.523151 \nL 113.309709 76.653585 \nL 120.735788 81.178447 \nL 128.052421 85.937181 \nL 135.145556 90.801377 \nL 141.926296 95.673668 \nL 148.329662 100.484186 \nL 154.312267 105.186045 \nL 159.849408 109.750396 \nL 164.931936 114.16192 \nL 169.563178 118.414935 \nL 173.756105 122.510233 \nL 177.530814 126.452657 \nL 180.912385 130.249354 \nL 183.929091 133.908495 \nL 186.610966 137.438482 \nL 188.988673 140.847429 \nL 191.092641 144.142875 \nL 192.952432 147.331633 \nL 194.596293 150.41977 \nL 197.341012 156.314896 \nL 199.518208 161.863406 \nL 201.290054 167.092015 \nL 203.47682 174.37833 \nL 206.054273 183.124985 \nL 207.383961 187.101176 \nL 208.835169 190.81535 \nL 210.474685 194.262651 \nL 212.370845 197.430584 \nL 213.437814 198.903114 \nL 214.597039 200.296165 \nL 215.859016 201.604549 \nL 217.234941 202.821823 \nL 218.736795 203.940054 \nL 220.377411 204.949545 \nL 222.170539 205.838498 \nL 224.13087 206.592661 \nL 226.274056 207.194878 \nL 228.616667 207.624609 \nL 231.176121 207.857375 \nL 233.970524 207.864154 \nL 237.018417 207.61074 \nL 240.338409 207.057112 \nL 243.948652 206.15682 \nL 247.866093 204.856502 \nL 252.105497 203.095652 \nL 256.67815 200.806754 \nL 261.590204 197.916047 \nL 266.840596 194.345179 \nL 272.418554 190.014101 \nL 278.300628 184.845552 \nL 284.447423 178.77155 \nL 290.800072 171.742061 \nL 297.276883 163.735915 \nL 303.770564 154.773511 \nL 310.14664 144.930125 \nL 316.243922 134.347943 \nL 321.877811 123.244063 \nL 326.847107 111.911144 \nL 330.944686 100.707704 \nL 333.971714 90.036268 \nL 335.754127 80.310018 \nL 336.159457 71.912036 \nL 335.111374 65.153658 \nL 332.599301 60.24028 \nL 328.681367 57.251913 \nL 323.47979 56.142054 \nL 317.169658 56.754356 \nL 309.96305 58.852153 \nL 302.091172 62.153694 \nL 293.787104 66.365995 \nL 285.271269 71.212279 \nL 276.740671 76.450352 \nL 268.362338 81.881878 \nL 260.270481 87.354358 \nL 252.566665 92.757772 \nL 245.32213 98.018388 \nL 238.581359 103.091472 \nL 232.366256 107.954023 \nL 226.680421 112.598509 \nL 221.513176 117.02764 \nL 216.843167 121.25037 \nL 212.64145 125.279015 \nL 208.874052 129.12719 \nL 205.504032 132.808501 \nL 202.493092 136.335752 \nL 199.802807 139.72049 \nL 197.395518 142.97284 \nL 193.286729 149.113529 \nL 189.899829 154.810704 \nL 185.672762 162.594758 \nL 181.904525 169.504737 \nL 179.388365 173.620761 \nL 176.71568 177.321171 \nL 175.283482 179.004455 \nL 173.768526 180.568201 \nL 172.157038 182.004476 \nL 170.435403 183.303732 \nL 168.590094 184.454587 \nL 166.607632 185.443587 \nL 164.474591 186.254926 \nL 162.17765 186.870185 \nL 159.703695 187.268039 \nL 157.040012 187.42398 \nL 154.174563 187.310083 \nL 151.096349 186.894838 \nL 147.795928 186.143096 \nL 144.26606 185.016191 \nL 140.502515 183.472342 \nL 136.505085 181.467402 \nL 132.278773 178.956125 \nL 127.835179 175.893995 \nL 123.194044 172.239877 \nL 118.384928 167.959478 \nL 113.448902 163.029728 \nL 108.440066 157.444016 \nL 103.426797 151.218025 \nL 98.492332 144.395711 \nL 93.734478 137.054741 \nL 89.264049 129.310348 \nL 85.201814 121.316488 \nL 81.67378 113.26316 \nL 78.804857 105.369088 \nL 76.711228 97.869561 \nL 75.492072 91.000113 \nL 75.221518 84.978024 \nL 75.941889 79.983889 \nL 77.659203 76.146421 \nL 80.341631 73.532944 \nL 83.921285 72.146921 \nL 88.298992 71.932819 \nL 93.351493 72.786818 \nL 98.939993 74.571212 \nL 104.919027 77.129938 \nL 111.144693 80.302785 \nL 117.481521 83.937039 \nL 123.807571 87.89547 \nL 130.017724 92.060905 \nL 136.025261 96.337812 \nL 141.76202 100.651614 \nL 147.177509 104.946586 \nL 152.237257 109.183047 \nL 156.920796 113.334263 \nL 161.219454 117.383566 \nL 165.134144 121.321741 \nL 168.673308 125.144914 \nL 171.85105 128.852806 \nL 174.685522 132.447485 \nL 177.197537 135.932376 \nL 179.409451 139.311603 \nL 181.344237 142.589549 \nL 183.024779 145.770547 \nL 184.473324 148.858723 \nL 185.711079 151.857912 \nL 186.757936 154.771607 \nL 187.63228 157.602976 \nL 188.350888 160.35485 \nL 189.379707 165.630029 \nL 189.945601 170.614424 \nL 190.124654 175.321756 \nL 189.97003 179.762627 \nL 189.514421 183.944615 \nL 188.77227 187.871944 \nL 187.74151 191.544745 \nL 186.404699 194.957791 \nL 185.612005 196.563361 \nL 184.729517 198.098603 \nL 183.750852 199.560364 \nL 182.668655 200.944621 \nL 181.47457 202.246321 \nL 180.159207 203.459179 \nL 178.712105 204.575463 \nL 177.121712 205.58571 \nL 175.375348 206.478419 \nL 173.459204 207.239667 \nL 171.358351 207.852687 \nL 169.056783 208.297383 \nL 166.537514 208.549769 \nL 163.782723 208.581364 \nL 160.774018 208.358554 \nL 157.492769 207.841917 \nL 153.920651 206.985593 \nL 150.040339 205.736767 \nL 145.836469 204.035346 \nL 141.296907 201.814016 \nL 136.414363 198.998875 \nL 131.18842 195.510927 \nL 125.628019 191.268763 \nL 119.754413 186.192842 \nL 113.604445 180.21172 \nL 107.234137 173.270528 \nL 100.72217 165.341771 \nL 94.172875 156.43808 \nL 87.718116 146.625839 \nL 81.517203 136.037935 \nL 75.754077 124.882825 \nL 70.63093 113.446624 \nL 66.357911 102.084942 \nL 63.139142 91.202408 \nL 61.156057 81.220127 \nL 60.550152 72.534538 \nL 61.407601 65.474449 \nL 63.748593 60.26445 \nL 67.523348 57.002637 \nL 72.615788 55.656955 \nL 78.85424 56.080261 \nL 86.027222 58.039278 \nL 93.901564 61.250436 \nL 102.240243 65.415125 \nL 110.817614 70.248645 \nL 119.430857 75.50017 \nL 127.907126 80.963158 \nL 136.106823 86.478006 \nL 143.923677 91.929071 \nL 151.282579 97.238467 \nL 158.136006 102.35857 \nL 164.459791 107.264648 \nL 170.24877 111.948202 \nL 175.512632 116.411597 \nL 180.272212 120.663827 \nL 184.556302 124.717454 \nL 188.398995 128.586498 \nL 191.837556 132.284985 \nL 194.91074 135.826148 \nL 197.657522 139.221938 \nL 200.116159 142.482794 \nL 204.314702 148.633951 \nL 207.778192 154.334053 \nL 212.105363 162.109639 \nL 215.967537 168.994789 \nL 218.548147 173.083351 \nL 221.289645 176.745382 \nL 222.758495 178.404573 \nL 224.311859 179.940437 \nL 225.963656 181.344581 \nL 227.7276 182.606937 \nL 229.617263 183.715557 \nL 231.646105 184.656361 \nL 233.827463 185.412868 \nL 236.17447 185.965951 \nL 238.699936 186.29354 \nL 241.416134 186.370398 \nL 244.334496 186.167911 \nL 247.465208 185.653973 \nL 250.816655 184.793003 \nL 254.394743 183.546186 \nL 258.202043 181.871987 \nL 262.236744 179.727071 \nL 266.491428 177.067723 \nL 270.951677 173.851933 \nL 275.594512 170.042243 \nL 280.386814 165.609419 \nL 285.283699 160.536985 \nL 290.22716 154.826473 \nL 295.145112 148.503132 \nL 299.951104 141.621532 \nL 304.545052 134.270286 \nL 308.815248 126.574903 \nL 312.641858 118.697643 \nL 315.902072 110.833435 \nL 318.476648 103.201203 \nL 320.257555 96.03078 \nL 321.155928 89.546404 \nL 321.109473 83.948693 \nL 320.088346 79.397881 \nL 318.098575 76.000828 \nL 315.182523 73.803883 \nL 311.416236 72.792846 \nL 306.90407 72.899381 \nL 301.771276 74.012532 \nL 296.155591 75.992982 \nL 290.198828 78.687695 \nL 284.039286 81.942925 \nL 277.805601 85.6144 \nL 271.612302 89.574075 \nL 265.55711 93.713675 \nL 259.719807 97.945649 \nL 254.162364 102.202127 \nL 248.929998 106.432732 \nL 244.052868 110.601783 \nL 239.548079 114.685408 \nL 235.421831 118.668813 \nL 231.671506 122.543943 \nL 228.28762 126.307494 \nL 225.25557 129.959412 \nL 222.557158 133.501685 \nL 220.171856 136.937509 \nL 218.077863 140.270683 \nL 216.252944 143.505227 \nL 214.67509 146.64511 \nL 213.323015 149.694083 \nL 212.176522 152.65564 \nL 211.216759 155.532946 \nL 210.426385 158.328855 \nL 209.789662 161.045919 \nL 209.292498 163.686408 \nL 208.668665 168.745398 \nL 208.474343 173.519001 \nL 208.652927 178.016794 \nL 209.169542 182.244782 \nL 210.008933 186.204893 \nL 211.173739 189.894022 \nL 212.683328 193.302433 \nL 213.577896 194.895941 \nL 214.573244 196.411348 \nL 215.676343 197.844332 \nL 216.895197 199.189483 \nL 218.238864 200.440126 \nL 219.717474 201.588077 \nL 221.342247 202.623374 \nL 223.125499 203.533961 \nL 225.080631 204.305309 \nL 227.222092 204.920008 \nL 229.565317 205.357289 \nL 232.126598 205.592485 \nL 234.922896 205.596475 \nL 237.971557 205.33508 \nL 241.28991 204.768477 \nL 244.894687 203.85068 \nL 248.801281 202.52914 \nL 253.022717 200.744622 \nL 257.568343 198.431492 \nL 262.442191 195.518625 \nL 267.64091 191.931213 \nL 273.151321 187.593815 \nL 278.947586 182.434926 \nL 284.988059 176.393437 \nL 291.212032 169.427157 \nL 297.536683 161.523287 \nL 303.854672 152.710371 \nL 310.032988 143.070543 \nL 315.913842 132.750153 \nL 321.318264 121.966202 \nL 326.053056 111.00557 \nL 329.921273 100.214491 \nL 332.735851 89.976791 \nL 334.335104 80.682057 \nL 334.598297 72.687537 \nL 333.458759 66.280128 \nL 330.912344 61.645822 \nL 327.019521 58.852995 \nL 321.900612 57.852522 \nL 315.724964 58.493969 \nL 308.696016 60.553091 \nL 301.034596 63.764325 \nL 292.9629 67.851911 \nL 284.690979 72.555033 \nL 276.406751 77.644757 \nL 268.269843 82.932796 \nL 260.408906 88.273346 \nL 252.921722 93.560313 \nL 245.877286 98.721647 \nL 239.319124 103.712682 \nL 233.269192 108.509526 \nL 227.731858 113.103147 \nL 222.69772 117.494521 \nL 218.147016 121.690871 \nL 214.052563 125.702867 \nL 210.38222 129.542688 \nL 207.100869 133.222737 \nL 204.17198 136.754829 \nL 201.55881 140.149748 \nL 199.22528 143.417035 \nL 197.136605 146.564945 \nL 193.563491 152.529519 \nL 190.599039 158.08619 \nL 182.286534 174.610287 \nL 179.891874 178.501156 \nL 178.615374 180.298094 \nL 177.268135 181.990129 \nL 175.836978 183.571409 \nL 174.308806 185.034753 \nL 172.670496 186.37145 \nL 170.908817 187.571037 \nL 169.010386 188.621041 \nL 166.961639 189.506707 \nL 164.748863 190.210679 \nL 162.358279 190.712676 \nL 159.776175 190.98916 \nL 156.98914 191.013004 \nL 153.984379 190.753217 \nL 150.750159 190.174726 \nL 147.276389 189.238304 \nL 143.555382 187.900721 \nL 139.582794 186.115189 \nL 135.358788 183.832258 \nL 130.889433 181.001305 \nL 126.188299 177.572753 \nL 121.278278 173.501232 \nL 116.193517 168.749732 \nL 110.981332 163.294888 \nL 105.703976 157.133215 \nL 100.439927 150.288004 \nL 95.284414 142.816263 \nL 90.348794 134.814748 \nL 85.758385 126.423779 \nL 81.648433 117.827492 \nL 78.158151 109.249126 \nL 75.422923 100.94058 \nL 73.565171 93.166343 \nL 72.684807 86.183184 \nL 72.850429 80.218085 \nL 74.092425 75.44785 \nL 76.399205 71.98401 \nL 79.717123 69.865315 \nL 83.954188 69.059253 \nL 88.987061 69.471518 \nL 94.670244 70.961319 \nL 100.846242 73.359392 \nL 107.355435 76.485621 \nL 114.044688 80.164119 \nL 120.774019 84.234233 \nL 127.421169 88.55726 \nL 133.884034 93.019315 \nL 140.08138 97.531222 \nL 145.952139 102.026393 \nL 151.453765 106.457581 \nL 156.560017 110.793276 \nL 161.258474 115.01416 \nL 165.548018 119.109965 \nL 169.436454 123.076855 \nL 172.938355 126.915289 \nL 176.073164 130.628473 \nL 178.86361 134.221152 \nL 181.334374 137.698829 \nL 183.511047 141.067225 \nL 185.419288 144.331908 \nL 187.084197 147.498152 \nL 188.529855 150.570798 \nL 189.779001 153.554247 \nL 190.852821 156.452461 \nL 192.550833 162.007095 \nL 193.75944 167.259214 \nL 194.587647 172.229083 \nL 195.120334 176.933889 \nL 195.421463 181.388625 \nL 195.537382 185.606657 \nL 195.430104 191.515977 \nL 195.033167 196.955546 \nL 194.357459 201.955461 \nL 193.739434 205.056199 \nL 192.967773 207.976492 \nL 192.01718 210.718339 \nL 190.854056 213.280238 \nL 189.435343 215.655791 \nL 187.706949 217.831566 \nL 186.706213 218.837665 \nL 185.601732 219.783933 \nL 184.382679 220.665059 \nL 183.037088 221.474389 \nL 181.551776 222.203652 \nL 179.91224 222.842616 \nL 178.102592 223.378684 \nL 176.10548 223.7964 \nL 173.902044 224.076881 \nL 171.471908 224.197137 \nL 168.793217 224.12929 \nL 165.842759 223.839675 \nL 162.596178 223.287856 \nL 159.028356 222.425553 \nL 155.113977 221.195551 \nL 150.828354 219.530676 \nL 146.148622 217.352983 \nL 141.055336 214.573379 \nL 135.534626 211.092024 \nL 129.581004 206.799927 \nL 123.200869 201.582355 \nL 116.416802 195.32474 \nL 109.272551 187.921796 \nL 101.838508 179.290531 \nL 94.217263 169.387343 \nL 86.548401 158.228683 \nL 79.011541 145.913471 \nL 71.826146 132.643752 \nL 65.246583 118.73829 \nL 59.551166 104.632751 \nL 55.024578 90.860529 \nL 51.934469 78.011342 \nL 50.504758 66.670232 \nL 50.889655 57.346411 \nL 53.153274 50.406903 \nL 57.259321 46.030734 \nL 63.073165 44.194843 \nL 70.37614 44.694046 \nL 78.888933 47.187497 \nL 88.299529 51.258472 \nL 98.290659 56.472872 \nL 108.562942 62.426088 \nL 118.851567 68.772966 \nL 128.935932 75.241288 \nL 147.846723 87.812244 \nL 164.441538 99.25964 \nL 178.438665 109.357574 \nL 184.482292 113.922863 \nL 189.930332 118.195646 \nL 194.824915 122.201489 \nL 199.213184 125.96529 \nL 203.144775 129.509859 \nL 206.669927 132.855243 \nL 212.697026 139.013356 \nL 217.665765 144.540222 \nL 227.498702 155.899512 \nL 231.048279 159.471112 \nL 232.839666 161.034858 \nL 234.668627 162.441596 \nL 236.552787 163.682753 \nL 238.508106 164.748252 \nL 240.548952 165.626441 \nL 242.688133 166.304095 \nL 244.936871 166.766393 \nL 247.304711 166.996924 \nL 249.799372 166.977816 \nL 252.426528 166.689874 \nL 255.189518 166.11287 \nL 258.088965 165.225936 \nL 261.122342 164.008203 \nL 264.283447 162.439548 \nL 267.561845 160.501687 \nL 270.94225 158.179454 \nL 274.403941 155.462379 \nL 277.920172 152.346532 \nL 281.457747 148.836543 \nL 284.976728 144.947712 \nL 288.430431 140.708046 \nL 291.765772 136.159999 \nL 294.924079 131.361643 \nL 297.84241 126.38697 \nL 300.45542 121.325061 \nL 302.697793 116.27785 \nL 304.507081 111.356473 \nL 305.826906 106.676248 \nL 306.610171 102.350638 \nL 306.82206 98.484752 \nL 306.442548 95.169011 \nL 305.468096 92.473801 \nL 303.912328 90.445662 \nL 301.805627 89.10551 \nL 299.193665 88.449041 \nL 296.134987 88.44906 \nL 292.697967 89.059429 \nL 288.957328 90.219943 \nL 284.990686 91.861499 \nL 280.875236 93.911052 \nL 276.684935 96.295883 \nL 272.48824 98.946906 \nL 268.346476 101.801019 \nL 264.312808 104.802457 \nL 260.431816 107.903349 \nL 256.739518 111.063603 \nL 253.263763 114.250428 \nL 250.02489 117.437512 \nL 247.036553 120.604129 \nL 244.306637 123.734176 \nL 241.838208 126.815309 \nL 239.630414 129.838113 \nL 237.679346 132.795431 \nL 235.978821 135.68176 \nL 234.521059 138.492796 \nL 233.297292 141.225036 \nL 232.298261 143.875457 \nL 231.514637 146.441293 \nL 230.937352 148.919836 \nL 230.557875 151.308245 \nL 230.368409 153.603458 \nL 230.362054 155.802039 \nL 230.532902 157.900075 \nL 230.876103 159.89306 \nL 231.387905 161.775817 \nL 232.065648 163.542355 \nL 232.907746 165.185778 \nL 233.913641 166.698132 \nL 235.083727 168.070289 \nL 236.419263 169.291821 \nL 237.922243 170.350843 \nL 239.595258 171.233883 \nL 241.441305 171.925755 \nL 243.463569 172.409438 \nL 245.665148 172.666025 \nL 248.048736 172.674684 \nL 250.616227 172.41273 \nL 253.36826 171.855782 \nL 256.303685 170.978091 \nL 259.418925 169.753047 \nL 262.707283 168.153936 \nL 266.158143 166.154981 \nL 269.756119 163.732757 \nL 273.480181 160.867956 \nL 277.30274 157.547537 \nL 281.188877 153.76725 \nL 285.095683 149.534444 \nL 288.971896 144.870916 \nL 292.757941 139.815648 \nL 296.386482 134.427017 \nL 299.783644 128.784028 \nL 302.870996 122.986233 \nL 305.568285 117.151771 \nL 307.796927 111.413452 \nL 309.483982 105.912708 \nL 310.566449 100.791887 \nL 310.995418 96.185502 \nL 310.739677 92.211301 \nL 309.78835 88.962501 \nL 308.152224 86.501927 \nL 305.863559 84.858993 \nL 302.974423 84.029852 \nL 299.55368 83.980403 \nL 295.683006 84.651607 \nL 291.452367 85.966268 \nL 286.955396 87.836223 \nL 282.285083 90.169077 \nL 277.530061 92.874009 \nL 272.771727 95.86607 \nL 268.082218 99.069133 \nL 263.523227 102.417368 \nL 259.145569 105.855642 \nL 254.989362 109.339146 \nL 251.084655 112.832419 \nL 247.45238 116.308124 \nL 244.10548 119.745709 \nL 241.050112 123.130103 \nL 238.286858 126.450542 \nL 235.811873 129.699534 \nL 233.617932 132.871988 \nL 231.695376 135.964536 \nL 230.03292 138.974987 \nL 228.618347 141.901896 \nL 227.439077 144.744278 \nL 226.482642 147.50131 \nL 225.737046 150.172207 \nL 225.191053 152.756051 \nL 224.834411 155.251683 \nL 224.657997 157.657631 \nL 224.65393 159.971999 \nL 224.815633 162.192416 \nL 225.13787 164.315942 \nL 225.61675 166.338981 \nL 226.249722 168.257179 \nL 227.035537 170.065331 \nL 227.974206 171.757227 \nL 229.066947 173.325537 \nL 230.3161 174.76166 \nL 231.725052 176.055548 \nL 233.298125 177.195518 \nL 235.040444 178.168051 \nL 236.95778 178.957608 \nL 239.056355 179.546409 \nL 241.342596 179.914267 \nL 243.822839 180.038408 \nL 246.502961 179.893417 \nL 249.387916 179.451175 \nL 252.48119 178.681043 \nL 255.784133 177.550133 \nL 259.29517 176.023905 \nL 263.008897 174.06706 \nL 266.915008 171.644894 \nL 270.997164 168.725103 \nL 275.231748 165.280189 \nL 279.586614 161.290469 \nL 284.019919 156.747666 \nL 288.479171 151.658927 \nL 292.900632 146.051093 \nL 297.209312 139.974694 \nL 301.319743 133.507196 \nL 305.137722 126.754751 \nL 308.563216 119.851727 \nL 311.494382 112.957363 \nL 313.832658 106.249219 \nL 315.488574 99.913469 \nL 316.387834 94.132829 \nL 316.476961 89.073361 \nL 315.727909 84.871853 \nL 314.140938 81.625732 \nL 311.745373 79.386782 \nL 308.598071 78.159767 \nL 304.779815 77.905764 \nL 300.390012 78.549508 \nL 295.540486 79.989132 \nL 290.348913 82.107004 \nL 284.932705 84.779862 \nL 279.403731 87.887433 \nL 273.864232 91.318741 \nL 268.404042 94.976112 \nL 263.099009 98.777105 \nL 258.010538 102.654722 \nL 253.185959 106.556404 \nL 248.659526 110.442383 \nL 244.453793 114.283659 \nL 240.581245 118.059947 \nL 237.045939 121.757754 \nL 233.845146 125.368719 \nL 230.970861 128.8882 \nL 228.411149 132.314159 \nL 226.151332 135.6463 \nL 224.174998 138.885436 \nL 222.464824 142.032993 \nL 221.003251 145.090702 \nL 219.773019 148.060373 \nL 218.757578 150.943727 \nL 217.941388 153.742324 \nL 217.310147 156.457465 \nL 216.850937 159.090194 \nL 216.552322 161.641237 \nL 216.404388 164.110987 \nL 216.398776 166.499472 \nL 216.528659 168.806349 \nL 216.788732 171.030822 \nL 217.175173 173.171639 \nL 217.685598 175.22701 \nL 218.319023 177.194514 \nL 219.075821 179.07106 \nL 219.957671 180.852737 \nL 220.967522 182.534705 \nL 222.109546 184.111053 \nL 223.389096 185.574617 \nL 224.81266 186.916792 \nL 226.387803 188.127292 \nL 228.123102 189.193911 \nL 230.028061 190.102231 \nL 232.112991 190.835305 \nL 234.388869 191.373336 \nL 236.867119 191.693318 \nL 239.559366 191.768703 \nL 242.477057 191.569082 \nL 245.631021 191.059928 \nL 249.030855 190.202488 \nL 252.684189 188.953825 \nL 256.595737 187.267183 \nL 260.76615 185.092747 \nL 265.190641 182.378955 \nL 269.857375 179.074553 \nL 274.745653 175.131498 \nL 279.823948 170.50898 \nL 285.047903 165.178458 \nL 290.358414 159.129864 \nL 295.680167 152.378529 \nL 300.920806 144.972399 \nL 305.971192 136.998622 \nL 310.707188 128.58823 \nL 314.993222 119.917519 \nL 318.68787 111.20466 \nL 321.651427 102.700488 \nL 323.754956 94.673406 \nL 324.890117 87.389301 \nL 324.978471 81.088982 \nL 323.979169 75.966535 \nL 321.893665 72.152031 \nL 318.766724 69.701982 \nL 314.683461 68.598668 \nL 309.762914 68.75825 \nL 304.148962 70.045507 \nL 298.000027 72.291979 \nL 291.478787 75.314543 \nL 284.743006 78.931593 \nL 277.938246 82.975241 \nL 271.192769 87.299167 \nL 264.614569 91.782273 \nL 258.290373 96.329009 \nL 252.286094 100.867573 \nL 246.648365 105.34667 \nL 241.40673 109.731804 \nL 236.576165 114.001592 \nL 232.15965 118.144455 \nL 228.150647 122.155781 \nL 224.535348 126.035694 \nL 221.294659 129.787314 \nL 218.405877 133.415492 \nL 215.844086 136.925931 \nL 213.583282 140.324611 \nL 211.597254 143.617397 \nL 209.860256 146.809811 \nL 208.347505 149.906942 \nL 207.035524 152.913422 \nL 205.902377 155.833414 \nL 204.093254 161.428512 \nL 202.778734 166.71789 \nL 201.84422 171.722647 \nL 201.199465 176.460665 \nL 200.775248 180.94754 \nL 200.443339 187.237238 \nL 200.377501 193.035393 \nL 200.513101 198.379679 \nL 200.823628 203.303803 \nL 201.311739 207.837463 \nL 202.004978 212.005826 \nL 202.605755 214.591617 \nL 203.342396 217.027542 \nL 204.243253 219.315138 \nL 205.344085 221.452826 \nL 206.689564 223.434585 \nL 208.335166 225.247935 \nL 210.349494 226.870888 \nL 211.520626 227.600409 \nL 212.817029 228.267368 \nL 214.252257 228.86393 \nL 215.841261 229.380351 \nL 217.600495 229.804569 \nL 219.548005 230.121692 \nL 221.703504 230.313407 \nL 224.088423 230.357264 \nL 226.725914 230.225842 \nL 229.640773 229.885778 \nL 232.859278 229.296668 \nL 236.40888 228.409844 \nL 240.317687 227.167085 \nL 244.613709 225.499328 \nL 249.323729 223.325522 \nL 254.471726 220.551836 \nL 260.076719 217.071571 \nL 266.149907 212.766246 \nL 272.690995 207.508482 \nL 279.683607 201.167541 \nL 287.089782 193.618391 \nL 294.84377 184.755193 \nL 302.845487 174.5098 \nL 310.954446 162.875007 \nL 318.985299 149.930882 \nL 326.706628 135.870641 \nL 333.844925 121.019944 \nL 340.095368 105.841988 \nL 345.140483 90.920465 \nL 348.676236 76.915625 \nL 350.442771 64.495007 \nL 350.255325 54.249365 \nL 348.029269 46.611593 \nL 343.793823 41.798722 \nL 337.690846 39.792054 \nL 329.95913 40.359136 \nL 320.907337 43.108943 \nL 310.881538 47.56344 \nL 300.233216 53.227574 \nL 289.292557 59.644398 \nL 278.34958 66.429376 \nL 257.359809 79.997476 \nL 238.545487 92.504324 \nL 222.458359 103.470735 \nL 209.140798 112.922036 \nL 203.448302 117.144633 \nL 198.339645 121.073192 \nL 193.762824 124.737204 \nL 185.988244 131.373833 \nL 179.698291 137.222016 \nL 174.499359 142.392076 \nL 166.050632 150.906267 \nL 162.2689 154.26585 \nL 160.395766 155.710756 \nL 158.506042 156.991009 \nL 156.581317 158.09883 \nL 154.605341 159.0251 \nL 152.563946 159.759389 \nL 150.445014 160.290034 \nL 148.238477 160.604232 \nL 145.936391 160.688166 \nL 143.533049 160.527206 \nL 141.025166 160.106196 \nL 138.412119 159.409836 \nL 135.696218 158.423199 \nL 132.883055 157.132392 \nL 129.981868 155.525349 \nL 127.005915 153.592846 \nL 123.972851 151.32964 \nL 120.905054 148.735759 \nL 117.829862 145.817892 \nL 114.779668 142.590793 \nL 111.79183 139.078613 \nL 108.908339 135.315941 \nL 106.175137 131.348544 \nL 103.641167 127.233429 \nL 101.356992 123.038266 \nL 99.373102 118.839858 \nL 97.737936 114.721787 \nL 96.495663 110.771163 \nL 95.683977 107.074686 \nL 95.331942 103.714376 \nL 95.458178 100.763316 \nL 96.069525 98.281787 \nL 97.160289 96.314331 \nL 98.71225 94.887872 \nL 100.695343 94.011234 \nL 103.069011 93.675995 \nL 105.784115 93.858331 \nL 108.785186 94.521919 \nL 112.012855 95.621119 \nL 115.40625 97.104413 \nL 118.905237 98.917608 \nL 122.452329 101.006525 \nL 125.994216 103.319239 \nL 129.482888 105.807618 \nL 132.876333 108.428319 \nL 136.138848 111.143231 \nL 139.241061 113.919534 \nL 142.159684 116.72945 \nL 144.877069 119.549806 \nL 147.380646 122.361492 \nL 149.662278 125.148837 \nL 151.717612 127.899065 \nL 153.545393 130.601701 \nL 155.146859 133.248093 \nL 156.525137 135.830989 \nL 157.684738 138.344151 \nL 158.631082 140.782038 \nL 159.370113 143.139551 \nL 159.907958 145.411799 \nL 160.250667 147.593932 \nL 160.403982 149.680955 \nL 160.373185 151.667606 \nL 160.162968 153.5482 \nL 159.777363 155.316538 \nL 159.21969 156.965777 \nL 158.492556 158.488322 \nL 157.597884 159.875732 \nL 156.53696 161.118601 \nL 155.310529 162.206491 \nL 153.918903 163.127814 \nL 152.362122 163.869806 \nL 150.640131 164.418439 \nL 148.75301 164.758452 \nL 146.701247 164.873388 \nL 144.486047 164.745688 \nL 142.109699 164.356905 \nL 139.576002 163.688015 \nL 136.890714 162.719884 \nL 134.062101 161.433851 \nL 131.101468 159.812599 \nL 128.023764 157.841124 \nL 124.848171 155.508059 \nL 121.598663 152.807098 \nL 118.304481 149.738691 \nL 115.000497 146.311823 \nL 111.727383 142.545793 \nL 108.531471 138.471842 \nL 105.4643 134.134453 \nL 102.581728 129.592013 \nL 99.94259 124.916678 \nL 97.606877 120.193166 \nL 95.633496 115.516386 \nL 94.077647 110.98785 \nL 92.98807 106.711058 \nL 92.404282 102.786163 \nL 92.354094 99.304401 \nL 92.851634 96.342845 \nL 93.896139 93.960196 \nL 95.471559 92.193848 \nL 97.547187 91.058767 \nL 100.079099 90.548139 \nL 103.01238 90.635652 \nL 106.283868 91.278917 \nL 109.82516 92.423643 \nL 113.565645 94.008095 \nL 117.435326 95.967208 \nL 121.367243 98.236165 \nL 125.299411 100.75325 \nL 129.176218 103.461798 \nL 132.949297 106.311366 \nL 136.577899 109.258254 \nL 140.028901 112.265491 \nL 143.276445 115.302408 \nL 146.301395 118.344023 \nL 149.090602 121.370281 \nL 151.636115 124.365251 \nL 153.934358 127.316378 \nL 155.985327 130.213788 \nL 157.791825 133.049692 \nL 159.358765 135.817842 \nL 160.692549 138.51311 \nL 161.800533 141.131142 \nL 162.690572 143.668043 \nL 163.370633 146.120168 \nL 163.848481 148.483899 \nL 164.131435 150.755507 \nL 164.226179 152.93099 \nL 164.138618 155.005957 \nL 163.873791 156.975518 \nL 163.435805 158.834143 \nL 162.827818 160.575584 \nL 162.052041 162.192741 \nL 161.10978 163.677557 \nL 160.00149 165.020876 \nL 158.726875 166.212343 \nL 157.284991 167.240287 \nL 155.674411 168.091608 \nL 153.893402 168.751675 \nL 151.940137 169.204251 \nL 149.812986 169.431491 \nL 147.51081 169.413952 \nL 145.033357 169.130699 \nL 142.381693 168.559541 \nL 139.558712 167.677391 \nL 136.56972 166.460806 \nL 133.423077 164.886765 \nL 130.130912 162.933719 \nL 126.709852 160.582894 \nL 123.181802 157.81994 \nL 119.574646 154.636884 \nL 115.922898 151.03433 \nL 112.268132 147.023837 \nL 108.65917 142.630291 \nL 105.151895 137.894005 \nL 101.808566 132.872342 \nL 98.696583 127.640393 \nL 95.88661 122.290494 \nL 93.450064 116.930138 \nL 91.456047 111.678287 \nL 89.967883 106.660068 \nL 89.039487 102.000109 \nL 88.711944 97.815231 \nL 89.010537 94.207156 \nL 89.942675 91.256144 \nL 91.496913 89.01639 \nL 93.643212 87.513652 \nL 96.334417 86.745405 \nL 99.508838 86.683287 \nL 103.093625 87.277466 \nL 107.008606 88.462188 \nL 111.170194 90.161652 \nL 115.495076 92.295675 \nL 119.9034 94.784533 \nL 124.321339 97.55277 \nL 128.682891 100.531817 \nL 132.931023 103.661481 \nL 137.018141 106.890485 \nL 140.906035 110.176315 \nL 144.565425 113.484592 \nL 147.975216 116.788123 \nL 151.121557 120.06582 \nL 153.996829 123.301627 \nL 156.598586 126.483524 \nL 158.928573 129.602625 \nL 160.991772 132.652412 \nL 162.795557 135.628101 \nL 164.348954 138.526123 \nL 165.661997 141.343733 \nL 166.745194 144.078661 \nL 167.609078 146.7289 \nL 168.263851 149.292478 \nL 168.719112 151.767328 \nL 168.983628 154.151144 \nL 169.065192 156.441285 \nL 168.970499 158.634651 \nL 168.705086 160.727597 \nL 168.273289 162.715836 \nL 167.678243 164.594345 \nL 166.921889 166.357228 \nL 166.005017 167.997617 \nL 164.927322 169.507512 \nL 163.687483 170.87768 \nL 162.283257 172.097451 \nL 160.711607 173.154607 \nL 158.968849 174.035197 \nL 157.050839 174.723376 \nL 154.953199 175.20129 \nL 152.671582 175.448939 \nL 150.202019 175.444136 \nL 147.54131 175.162528 \nL 144.687505 174.577736 \nL 141.640482 173.661637 \nL 138.40261 172.384857 \nL 134.979516 170.717543 \nL 131.380958 168.630462 \nL 127.621768 166.096489 \nL 123.722869 163.092497 \nL 119.712278 159.601788 \nL 115.626071 155.6169 \nL 111.509156 151.142779 \nL 107.415791 146.20015 \nL 103.409649 140.828732 \nL 99.563297 135.089935 \nL 95.956906 129.068535 \nL 92.676146 122.872742 \nL 89.809094 116.632206 \nL 87.442373 110.493584 \nL 85.656568 104.613691 \nL 84.521326 99.150541 \nL 84.090608 94.253123 \nL 84.398506 90.051118 \nL 85.456286 86.645721 \nL 87.2509 84.103184 \nL 89.745297 82.451486 \nL 92.880503 81.680903 \nL 96.579161 81.747978 \nL 100.750217 82.582018 \nL 105.294147 84.093233 \nL 110.1082 86.181118 \nL 115.091218 88.742179 \nL 120.147697 91.676255 \nL 125.190868 94.891221 \nL 130.144733 98.305823 \nL 134.945193 101.851033 \nL 139.540313 105.470112 \nL 143.889948 109.117895 \nL 147.964885 112.759479 \nL 151.745687 116.368683 \nL 155.221357 119.926456 \nL 158.387981 123.419404 \nL 161.247367 126.838465 \nL 163.805792 130.177801 \nL 166.072873 133.433883 \nL 168.060564 136.604777 \nL 169.782311 139.689613 \nL 171.252331 142.688142 \nL 172.485034 145.600469 \nL 173.494554 148.426805 \nL 174.294382 151.167322 \nL 174.897094 153.822019 \nL 175.314142 156.390678 \nL 175.555711 158.872742 \nL 175.630634 161.267275 \nL 175.546322 163.572917 \nL 175.308755 165.787803 \nL 174.922471 167.909502 \nL 174.390583 169.934914 \nL 173.714815 171.860212 \nL 172.895532 173.680716 \nL 171.931799 175.390782 \nL 170.821427 176.983626 \nL 169.561051 178.451209 \nL 168.146195 179.784012 \nL 166.571369 180.970878 \nL 164.830173 181.998745 \nL 162.915436 182.852448 \nL 160.819382 183.514448 \nL 158.533841 183.964589 \nL 156.050519 184.179883 \nL 153.361323 184.134304 \nL 150.458802 183.798654 \nL 147.336652 183.140567 \nL 143.990374 182.124656 \nL 140.418061 180.712885 \nL 136.621332 178.865321 \nL 132.606434 176.541231 \nL 128.385511 173.7008 \nL 123.977976 170.307441 \nL 119.412018 166.330839 \nL 114.726055 161.750795 \nL 109.970113 156.561723 \nL 105.206883 150.777667 \nL 100.512241 144.437486 \nL 95.975021 137.609517 \nL 91.695723 130.395014 \nL 87.783906 122.929339 \nL 84.35424 115.380027 \nL 81.521059 107.940991 \nL 79.391883 100.82264 \nL 78.060165 94.238369 \nL 77.598237 88.388856 \nL 78.051063 83.446064 \nL 79.431871 79.539283 \nL 81.720145 76.745614 \nL 84.862444 75.086088 \nL 88.775912 74.528058 \nL 93.354031 74.99293 \nL 98.473802 76.367642 \nL 104.003557 78.517798 \nL 109.810421 81.300502 \nL 115.76685 84.575309 \nL 121.75576 88.212395 \nL 127.674064 92.097801 \nL 133.434717 96.135937 \nL 138.967372 100.249856 \nL 144.218007 104.380078 \nL 149.147782 108.482448 \nL 153.731392 112.525627 \nL 157.955178 116.488508 \nL 161.815163 120.357867 \nL 165.31515 124.126309 \nL 168.464953 127.790569 \nL 171.278835 131.350218 \nL 173.774145 134.806634 \nL 175.970176 138.162265 \nL 177.887233 141.420117 \nL 179.545871 144.583414 \nL 180.966311 147.655342 \nL 182.167996 150.638935 \nL 183.169261 153.536995 \nL 183.987104 156.352041 \nL 184.637039 159.0863 \nL 185.133008 161.741715 \nL 185.487341 164.319942 \nL 185.71076 166.822358 \nL 185.799833 171.603903 \nL 185.455038 176.091764 \nL 184.708187 180.286392 \nL 184.188085 182.272291 \nL 183.569871 184.182261 \nL 182.851805 186.014386 \nL 182.030983 187.766127 \nL 181.103369 189.434198 \nL 180.063804 191.01444 \nL 178.906022 192.501677 \nL 177.622654 193.889536 \nL 176.205244 195.170239 \nL 174.644251 196.33436 \nL 172.92907 197.370552 \nL 171.048068 198.265213 \nL 168.988637 199.002128 \nL 166.737282 199.562076 \nL 164.279751 199.922361 \nL 161.601244 200.056352 \nL 158.686668 199.932996 \nL 155.521044 199.516354 \nL 152.090015 198.765191 \nL 148.380542 197.632707 \nL 144.381811 196.066512 \nL 140.086374 194.008921 \nL 135.491596 191.397836 \nL 130.601411 188.168335 \nL 125.428396 184.255277 \nL 119.99618 179.597151 \nL 114.342044 174.141454 \nL 108.519652 167.851632 \nL 102.601567 160.715646 \nL 96.681311 152.755677 \nL 90.874333 144.03811 \nL 85.317483 134.682455 \nL 80.166257 124.867124 \nL 75.589456 114.829949 \nL 71.760909 104.861169 \nL 68.848647 95.287755 \nL 67.002177 86.449339 \nL 66.339381 78.668175 \nL 66.934761 72.217555 \nL 68.810994 67.294341 \nL 71.935243 64.000722 \nL 76.221024 62.338824 \nL 81.535335 62.218549 \nL 87.709892 63.476278 \nL 94.554665 65.899841 \nL 101.871753 69.254889 \nL 109.46796 73.308163 \nL 117.164805 77.8451 \nL 124.805531 82.680879 \nL 132.259056 87.665293 \nL 139.421268 92.682852 \nL 146.214306 97.649679 \nL 152.584399 102.508689 \nL 158.498884 107.224202 \nL 163.942867 111.776727 \nL 168.915855 116.158407 \nL 173.428603 120.369282 \nL 177.500284 124.414385 \nL 181.156057 128.301599 \nL 184.425038 132.040139 \nL 187.338652 135.639554 \nL 189.929337 139.109078 \nL 192.229545 142.457294 \nL 194.271003 145.691924 \nL 196.084192 148.819808 \nL 199.139478 154.778324 \nL 201.604242 160.371212 \nL 203.657047 165.626403 \nL 209.565483 181.588437 \nL 211.325689 185.477967 \nL 213.279769 189.059671 \nL 214.355262 190.729325 \nL 215.510351 192.313571 \nL 216.755858 193.80775 \nL 218.103008 195.206063 \nL 219.563537 196.501353 \nL 221.149762 197.684889 \nL 222.874651 198.746078 \nL 224.751864 199.672161 \nL 226.795773 200.447853 \nL 229.02144 201.054925 \nL 231.44455 201.471773 \nL 234.081284 201.672911 \nL 236.948104 201.62847 \nL 240.061441 201.303685 \nL 243.437254 200.65842 \nL 247.09041 199.646795 \nL 251.033865 198.217002 \nL 255.277612 196.311444 \nL 259.827314 193.867333 \nL 264.682628 190.817971 \nL 269.835184 187.094994 \nL 275.266197 182.631815 \nL 280.943808 177.368553 \nL 286.820237 171.258694 \nL 292.828977 164.277477 \nL 298.882375 156.431745 \nL 304.87004 147.770632 \nL 310.658668 138.395706 \nL 316.093926 128.468759 \nL 321.004997 118.214831 \nL 325.212087 107.917988 \nL 328.536944 97.908217 \nL 330.815709 88.538793 \nL 331.912818 80.156158 \nL 331.734165 73.066235 \nL 330.237412 67.50299 \nL 327.43772 63.605279 \nL 323.407696 61.406612 \nL 318.271518 60.839244 \nL 312.194221 61.751094 \nL 305.367906 63.931045 \nL 297.996985 67.137075 \nL 290.284376 71.122432 \nL 282.42012 75.656097 \nL 274.573125 80.536349 \nL 266.886221 85.597483 \nL 259.47414 90.710917 \nL 252.423856 95.78248 \nL 245.796553 100.747566 \nL 239.630634 105.565356 \nL 233.945182 110.213191 \nL 228.743527 114.681533 \nL 224.016616 118.969788 \nL 219.74606 123.083065 \nL 215.906766 127.029747 \nL 212.469148 130.819784 \nL 209.400908 134.463539 \nL 206.66847 137.97105 \nL 204.238061 141.351646 \nL 202.076529 144.613689 \nL 200.151921 147.764566 \nL 196.893856 153.757432 \nL 194.243534 159.370807 \nL 192.011654 164.633345 \nL 186.343112 178.469035 \nL 184.403167 182.443375 \nL 182.273075 186.085087 \nL 181.10825 187.77417 \nL 179.861722 189.369908 \nL 178.521889 190.866833 \nL 177.076839 192.258208 \nL 175.514263 193.535797 \nL 173.82138 194.689622 \nL 171.984881 195.707687 \nL 169.990908 196.575642 \nL 167.825065 197.276442 \nL 165.472471 197.789921 \nL 162.91788 198.092378 \nL 160.145865 198.156123 \nL 157.141113 197.949029 \nL 153.888818 197.434129 \nL 150.375247 196.569312 \nL 146.588462 195.307168 \nL 142.519288 193.59513 \nL 138.162515 191.376015 \nL 133.518394 188.589173 \nL 128.594431 185.172428 \nL 123.407495 181.065079 \nL 117.986171 176.212163 \nL 112.373276 170.57017 \nL 106.628346 164.114259 \nL 100.829843 156.846823 \nL 95.076673 148.806728 \nL 89.488514 140.078416 \nL 84.204472 130.799145 \nL 79.379478 121.162561 \nL 75.178122 111.416447 \nL 71.765847 101.853033 \nL 69.297943 92.791147 \nL 67.907318 84.55135 \nL 67.692419 77.426827 \nL 68.707217 71.654818 \nL 70.954722 67.393546 \nL 74.385316 64.709206 \nL 78.90028 63.575043 \nL 84.359893 63.882246 \nL 90.594904 65.459675 \nL 97.419504 68.097858 \nL 104.644154 71.573047 \nL 112.086803 75.667503 \nL 119.581511 80.184251 \nL 126.984237 84.95573 \nL 134.175891 89.847139 \nL 141.06299 94.755694 \nL 147.576604 99.607299 \nL 153.670112 104.351861 \nL 159.31626 108.958333 \nL 164.503999 113.409977 \nL 169.235335 117.700299 \nL 173.522397 121.829709 \nL 177.384845 125.802981 \nL 180.847626 129.627369 \nL 183.939133 133.311264 \nL 186.689696 136.863344 \nL 189.130403 140.292011 \nL 191.292197 143.605063 \nL 193.20521 146.809562 \nL 194.898289 149.911784 \nL 197.73187 155.830773 \nL 199.989156 161.398142 \nL 201.836879 166.641085 \nL 204.837479 176.230028 \nL 206.892253 182.685307 \nL 208.328033 186.649738 \nL 209.902483 190.342101 \nL 211.686549 193.754339 \nL 213.753117 196.869421 \nL 214.916536 198.306964 \nL 216.180594 199.658024 \nL 217.556483 200.916222 \nL 219.056118 202.073717 \nL 220.692207 203.120931 \nL 222.478313 204.04623 \nL 224.428879 204.835566 \nL 226.559249 205.472071 \nL 228.885624 205.93557 \nL 231.424987 206.202064 \nL 234.194944 206.243151 \nL 237.213476 206.025422 \nL 240.498585 205.509862 \nL 244.067758 204.651274 \nL 247.937264 203.39786 \nL 252.12118 201.690995 \nL 256.630153 199.465412 \nL 261.469789 196.649969 \nL 266.638666 193.169269 \nL 272.125932 188.946448 \nL 277.908475 183.907504 \nL 283.947808 177.987467 \nL 290.186716 171.138648 \nL 296.546092 163.341007 \nL 302.922274 154.614102 \nL 309.185601 145.029704 \nL 315.18079 134.723188 \nL 320.730059 123.901173 \nL 325.63951 112.842379 \nL 329.709189 101.888848 \nL 332.746426 91.425811 \nL 334.581459 81.850762 \nL 335.083457 73.535221 \nL 334.174567 66.785206 \nL 331.839479 61.808236 \nL 328.128725 58.69347 \nL 323.154972 57.409065 \nL 317.082874 57.816239 \nL 310.114331 59.696144 \nL 302.471554 62.782702 \nL 294.380507 66.795119 \nL 286.056616 71.464656 \nL 277.694055 76.55325 \nL 269.458901 81.863583 \nL 261.485935 87.241852 \nL 253.878409 92.575341 \nL 246.709958 97.786966 \nL 240.027855 102.828456 \nL 233.856925 107.673534 \nL 228.203635 112.311754 \nL 223.059998 116.743391 \nL 218.407107 120.975441 \nL 214.218192 125.018678 \nL 210.461173 128.885578 \nL 207.10074 132.588916 \nL 204.099979 136.14091 \nL 201.421635 139.552737 \nL 199.029037 142.83429 \nL 196.886762 145.994132 \nL 193.220219 151.976484 \nL 190.17641 157.543882 \nL 181.63271 174.052449 \nL 179.170635 177.920335 \nL 177.858471 179.701619 \nL 176.473911 181.37477 \nL 175.003551 182.93355 \nL 173.434102 184.370318 \nL 171.752286 185.675841 \nL 169.94476 186.839082 \nL 167.998084 187.846918 \nL 165.898702 188.683877 \nL 163.632988 189.331825 \nL 161.187344 189.769657 \nL 158.548377 189.972961 \nL 155.703133 189.913747 \nL 152.639468 189.56018 \nL 149.346527 188.87645 \nL 145.815373 187.822772 \nL 142.039789 186.355667 \nL 138.017277 184.428542 \nL 133.750274 181.992798 \nL 129.247572 178.999527 \nL 124.525957 175.402006 \nL 119.611999 171.159096 \nL 114.543929 166.23968 \nL 109.37344 160.628105 \nL 104.167234 154.330456 \nL 99.00802 147.381236 \nL 93.994612 139.849826 \nL 89.240802 131.845565 \nL 84.872644 123.520322 \nL 81.023893 115.067111 \nL 77.829583 106.713651 \nL 75.41801 98.710433 \nL 73.901709 91.313708 \nL 73.368395 84.765165 \nL 73.872963 79.271042 \nL 75.431805 74.983897 \nL 78.020267 71.990344 \nL 81.573769 70.306515 \nL 85.992456 69.882002 \nL 91.148685 70.610905 \nL 96.896267 72.347456 \nL 103.080277 74.923444 \nL 109.546293 78.164551 \nL 116.148168 81.903694 \nL 122.753931 85.990477 \nL 129.249573 90.296567 \nL 135.540943 94.717631 \nL 141.554031 99.172682 \nL 147.234038 103.601727 \nL 152.54361 107.962529 \nL 157.460614 112.227169 \nL 161.975729 116.378768 \nL 166.090032 120.408542 \nL 169.812745 124.313448 \nL 173.159206 128.094251 \nL 176.149106 131.75412 \nL 178.805004 135.297579 \nL 181.151109 138.729787 \nL 183.212302 142.056062 \nL 185.013375 145.281583 \nL 186.578451 148.411218 \nL 187.930572 151.449456 \nL 189.091404 154.400372 \nL 190.08105 157.267642 \nL 191.618834 162.764185 \nL 192.671077 167.961917 \nL 193.338716 172.879697 \nL 193.698813 177.533455 \nL 193.807549 181.936895 \nL 193.703227 186.101908 \nL 193.408952 190.03872 \nL 192.934776 193.755841 \nL 192.279246 197.259778 \nL 191.430351 200.554564 \nL 190.365864 203.640979 \nL 189.053123 206.515339 \nL 187.448279 209.167745 \nL 186.519252 210.405309 \nL 185.495024 211.579482 \nL 184.36633 212.68592 \nL 183.122893 213.719155 \nL 181.753351 214.672369 \nL 180.245192 215.537129 \nL 178.584686 216.303051 \nL 176.756819 216.95742 \nL 174.74526 217.48474 \nL 172.532337 217.866189 \nL 170.099057 218.079 \nL 167.425178 218.095769 \nL 164.489363 217.883633 \nL 161.269435 217.403432 \nL 157.742776 216.6088 \nL 153.886927 215.445253 \nL 149.680422 213.849433 \nL 145.103959 211.74857 \nL 140.141951 209.060397 \nL 134.784582 205.693857 \nL 129.030403 201.550961 \nL 122.889554 196.530283 \nL 116.387609 190.53268 \nL 109.569972 183.46985 \nL 102.506575 175.276067 \nL 95.296485 165.923244 \nL 88.071721 155.438621 \nL 80.999376 143.923404 \nL 74.280799 131.569306 \nL 68.146693 118.668603 \nL 62.847081 105.612691 \nL 58.63585 92.874583 \nL 55.750594 80.973358 \nL 54.389878 70.423058 \nL 54.691236 61.673647 \nL 56.71387 55.055676 \nL 60.429553 50.741242 \nL 65.723829 48.730288 \nL 72.407339 48.864456 \nL 80.235129 50.863297 \nL 88.930113 54.372836 \nL 98.206795 59.014892 \nL 107.791846 64.42822 \nL 117.439564 70.296678 \nL 126.941508 76.363681 \nL 136.130754 82.435315 \nL 144.88184 88.375575 \nL 160.755 99.551228 \nL 167.798342 104.716552 \nL 174.234871 109.591292 \nL 180.078964 114.185641 \nL 185.357649 118.51658 \nL 190.10675 122.604157 \nL 194.367746 126.468971 \nL 198.185285 130.13061 \nL 201.605274 133.606784 \nL 204.673468 136.912909 \nL 209.930917 143.064601 \nL 214.289371 148.662322 \nL 223.066904 160.460467 \nL 226.314005 164.304556 \nL 227.971166 166.026353 \nL 229.67574 167.606422 \nL 231.444821 169.036785 \nL 233.294323 170.307919 \nL 235.239087 171.408612 \nL 237.292924 172.325858 \nL 239.46862 173.044733 \nL 241.777873 173.54829 \nL 244.231195 173.817478 \nL 246.837698 173.831132 \nL 249.604837 173.566029 \nL 252.538045 172.997044 \nL 255.640262 172.097489 \nL 258.911387 170.839626 \nL 262.347602 169.195448 \nL 265.9406 167.13781 \nL 269.676745 164.641861 \nL 273.536185 161.686936 \nL 277.491927 158.258881 \nL 281.509017 154.352721 \nL 285.543881 149.975681 \nL 289.54393 145.150294 \nL 293.447613 139.917341 \nL 297.184998 134.338251 \nL 300.679129 128.496478 \nL 303.848124 122.497344 \nL 306.608153 116.465955 \nL 308.877158 110.542861 \nL 310.579188 104.877473 \nL 311.648982 99.619642 \nL 312.036417 94.910167 \nL 311.710322 90.871226 \nL 310.661214 87.598046 \nL 308.902586 85.152877 \nL 306.470571 83.562167 \nL 303.42197 82.817018 \nL 299.830896 82.876859 \nL 295.784392 83.675515 \nL 291.377581 85.12865 \nL 286.708708 87.141556 \nL 281.874628 89.616329 \nL 276.967007 92.457841 \nL 272.06935 95.578137 \nL 267.255053 98.899179 \nL 262.586298 102.354255 \nL 258.11375 105.888136 \nL 253.876867 109.456464 \nL 249.904666 113.024629 \nL 246.216781 116.566337 \nL 242.824712 120.062165 \nL 239.73311 123.4982 \nL 236.941048 126.864749 \nL 234.443222 130.155325 \nL 232.231038 133.365746 \nL 230.293564 136.493458 \nL 228.618365 139.536987 \nL 227.19219 142.495539 \nL 226.00155 145.368674 \nL 225.033167 148.156114 \nL 224.27435 150.857544 \nL 223.713263 153.472504 \nL 223.339131 156.000287 \nL 223.142392 158.439867 \nL 223.114788 160.789811 \nL 223.249427 163.048214 \nL 223.540808 165.212646 \nL 223.984831 167.280044 \nL 224.578773 169.246639 \nL 225.321265 171.107848 \nL 226.212245 172.858159 \nL 227.252909 174.490988 \nL 228.44564 175.998558 \nL 229.793939 177.371682 \nL 231.302327 178.599615 \nL 232.976232 179.669842 \nL 234.821864 180.567856 \nL 236.846043 181.276933 \nL 239.055981 181.777911 \nL 241.459034 182.048998 \nL 244.062381 182.065585 \nL 246.872607 181.800162 \nL 249.895218 181.222297 \nL 253.134026 180.298812 \nL 256.590417 178.99414 \nL 260.262477 177.271013 \nL 264.143969 175.091502 \nL 268.223185 172.418576 \nL 272.481651 169.218211 \nL 276.89279 165.462161 \nL 281.420541 161.131403 \nL 286.018133 156.220236 \nL 290.627113 150.740791 \nL 295.176795 144.727725 \nL 299.58446 138.242515 \nL 303.756459 131.376675 \nL 307.590455 124.253071 \nL 310.978938 117.02454 \nL 313.81403 109.869102 \nL 315.99333 102.981512 \nL 317.426433 96.56154 \nL 318.04153 90.799923 \nL 317.791246 85.863829 \nL 316.657045 81.883696 \nL 314.651534 78.94363 \nL 311.818256 77.076623 \nL 308.229044 76.265414 \nL 303.979192 76.448228 \nL 299.181131 77.528463 \nL 293.957363 79.386322 \nL 288.433465 81.890547 \nL 282.73176 84.908998 \nL 276.966226 88.31692 \nL 271.238744 92.002538 \nL 265.636769 95.870203 \nL 260.232331 99.841304 \nL 255.082036 103.853701 \nL 250.227897 107.86009 \nL 245.698698 111.825841 \nL 241.51165 115.726709 \nL 237.674213 119.546581 \nL 234.18587 123.275543 \nL 231.039826 126.90819 \nL 228.224534 130.442281 \nL 225.725054 133.877704 \nL 223.524186 137.215691 \nL 221.603444 140.458262 \nL 219.943826 143.60781 \nL 218.526435 146.666849 \nL 217.332957 149.637811 \nL 216.346027 152.522983 \nL 215.549481 155.324393 \nL 214.928538 158.043821 \nL 214.469913 160.682741 \nL 214.161878 163.242348 \nL 213.994288 165.723513 \nL 213.958572 168.126791 \nL 214.047713 170.452393 \nL 214.256202 172.700184 \nL 214.580003 174.86962 \nL 215.016494 176.959724 \nL 215.56443 178.969013 \nL 216.223883 180.89544 \nL 216.996211 182.736311 \nL 217.884019 184.488167 \nL 218.891118 186.146674 \nL 220.022505 187.706473 \nL 221.284327 189.16101 \nL 222.683853 190.502334 \nL 224.229449 191.720875 \nL 225.930521 192.805186 \nL 227.797469 193.741628 \nL 229.841602 194.514047 \nL 232.075021 195.103423 \nL 234.51046 195.487451 \nL 237.161067 195.640148 \nL 240.040097 195.531465 \nL 243.160506 195.126894 \nL 246.534416 194.387203 \nL 250.172417 193.268307 \nL 254.082681 191.721382 \nL 258.269842 189.693348 \nL 262.73363 187.127862 \nL 267.467235 183.967043 \nL 272.455394 180.15409 \nL 277.672247 175.637025 \nL 283.079036 170.373731 \nL 288.621814 164.338313 \nL 294.229389 157.528677 \nL 299.811796 149.974878 \nL 305.259793 141.747424 \nL 310.445802 132.964275 \nL 315.226765 123.794878 \nL 319.449278 114.459383 \nL 322.957147 105.221505 \nL 325.601027 96.374171 \nL 327.249452 88.218442 \nL 327.800028 81.037945 \nL 327.189283 75.072405 \nL 325.399688 70.494897 \nL 322.462543 67.396838 \nL 318.456288 65.783508 \nL 313.500373 65.580409 \nL 307.745657 66.648531 \nL 301.362838 68.805116 \nL 294.530462 71.845708 \nL 287.423994 75.564087 \nL 280.20686 79.767777 \nL 273.024052 84.288199 \nL 265.998292 88.985714 \nL 259.228518 93.750514 \nL 252.790195 98.500578 \nL 246.736927 103.177999 \nL 241.102908 107.744532 \nL 235.905771 112.177222 \nL 231.14952 116.464434 \nL 226.827354 120.602455 \nL 222.924233 124.592883 \nL 219.41913 128.440561 \nL 216.286929 132.152127 \nL 213.500002 135.734999 \nL 211.029457 139.196706 \nL 208.846129 142.544482 \nL 206.92132 145.785024 \nL 205.227341 148.924419 \nL 203.737887 151.968102 \nL 201.275616 157.787063 \nL 199.358486 163.274124 \nL 197.838912 168.454595 \nL 196.045643 175.693565 \nL 192.645212 190.348847 \nL 191.590733 194.00396 \nL 190.402875 197.431005 \nL 189.029883 200.628318 \nL 187.415996 203.588396 \nL 185.498614 206.295619 \nL 184.403989 207.546512 \nL 183.205493 208.722895 \nL 181.892131 209.818794 \nL 180.451961 210.826797 \nL 178.87202 211.737772 \nL 177.138253 212.540547 \nL 175.235457 213.221497 \nL 173.147253 213.764107 \nL 170.856081 214.148422 \nL 168.34325 214.350445 \nL 165.589045 214.341451 \nL 162.572922 214.087237 \nL 159.273823 213.54733 \nL 155.670653 212.674174 \nL 151.742946 211.412408 \nL 147.471806 209.698284 \nL 142.841173 207.459449 \nL 137.839483 204.615249 \nL 132.461798 201.077932 \nL 126.71248 196.755074 \nL 120.608405 191.553758 \nL 114.182686 185.386966 \nL 107.488829 178.182643 \nL 100.604979 169.895674 \nL 93.637762 160.522527 \nL 86.725126 150.117619 \nL 80.037117 138.809444 \nL 73.773644 126.813223 \nL 68.15813 114.436084 \nL 63.426444 102.070332 \nL 59.811186 90.17168 \nL 57.522334 79.222128 \nL 56.726657 69.681028 \nL 57.529021 61.932626 \nL 59.958888 56.240475 \nL 63.965022 52.719071 \nL 69.419331 51.3288 \nL 76.1294 51.894159 \nL 83.857204 54.139597 \nL 92.340656 57.733376 \nL 101.314548 62.33027 \nL 110.528262 67.605774 \nL 119.758667 73.278769 \nL 128.817888 79.122502 \nL 137.556439 84.966044 \nL 145.862715 90.689522 \nL 153.659956 96.215814 \nL 160.901807 101.501212 \nL 167.567235 106.526521 \nL 173.655478 111.289379 \nL 179.18133 115.798128 \nL 184.171017 120.067227 \nL 188.658712 124.113937 \nL 192.683688 127.95617 \nL 196.288067 131.611082 \nL 199.515081 135.094279 \nL 202.407781 138.419445 \nL 207.356224 144.640241 \nL 211.445572 150.343261 \nL 221.120759 164.657238 \nL 224.158303 168.497873 \nL 225.733928 170.22942 \nL 227.370262 171.82678 \nL 229.083208 173.281934 \nL 230.887861 174.585266 \nL 232.798596 175.725428 \nL 234.829108 176.689139 \nL 236.99242 177.461051 \nL 239.300826 178.023559 \nL 241.765773 178.356635 \nL 244.397663 178.437756 \nL 247.205583 178.241805 \nL 250.196926 177.741176 \nL 253.376911 176.90595 \nL 256.74797 175.704291 \nL 260.309029 174.103123 \nL 264.05463 172.069148 \nL 267.973967 169.570271 \nL 272.049787 166.577541 \nL 276.257276 163.067609 \nL 280.562921 159.025751 \nL 284.923497 154.449401 \nL 289.285326 149.352032 \nL 293.583886 143.767047 \nL 297.744115 137.751369 \nL 301.681416 131.388023 \nL 305.303694 124.78716 \nL 308.514427 118.084786 \nL 311.216808 111.438713 \nL 313.318767 105.021516 \nL 314.738571 99.010766 \nL 315.410445 93.577345 \nL 315.289708 88.873151 \nL 314.356675 85.019819 \nL 312.618879 82.100115 \nL 310.111215 80.153192 \nL 306.894016 79.174325 \nL 303.049258 79.118962 \nL 298.675318 79.910097 \nL 293.881031 81.447683 \nL 288.779578 83.61864 \nL 283.482829 86.3061 \nL 278.09662 89.397002 \nL 272.717106 92.787683 \nL 267.428337 96.387261 \nL 262.300972 100.119151 \nL 257.391956 103.921158 \nL 252.744972 107.744436 \nL 248.391436 111.551917 \nL 244.351847 115.316426 \nL 240.637306 119.018807 \nL 237.251093 122.646162 \nL 234.190186 126.19031 \nL 231.446687 129.646515 \nL 229.009084 133.012471 \nL 226.863355 136.287489 \nL 224.993907 139.471932 \nL 223.384356 142.566747 \nL 222.018153 145.57317 \nL 220.87909 148.492521 \nL 219.951678 151.326042 \nL 219.221441 154.074797 \nL 218.675121 156.739618 \nL 218.300821 159.321032 \nL 218.088096 161.819257 \nL 218.027998 164.234132 \nL 218.113102 166.565102 \nL 218.337496 168.811152 \nL 218.696756 170.97079 \nL 219.187923 173.041949 \nL 219.809458 175.021911 \nL 220.561203 176.907251 \nL 221.44433 178.693692 \nL 222.4613 180.376 \nL 223.61581 181.947803 \nL 224.912744 183.401459 \nL 226.358105 184.727827 \nL 227.958959 185.916066 \nL 229.72334 186.953368 \nL 231.660147 187.824696 \nL 233.779007 188.512482 \nL 236.090102 188.996323 \nL 238.603923 189.252661 \nL 241.330976 189.254498 \nL 244.281392 188.971149 \nL 247.464415 188.368076 \nL 250.887773 187.406891 \nL 254.55688 186.045555 \nL 258.47387 184.238901 \nL 262.636421 181.939612 \nL 267.036379 179.099766 \nL 271.658171 175.673108 \nL 276.477088 171.618198 \nL 281.457438 166.902494 \nL 286.550773 161.50748 \nL 291.694313 155.434593 \nL 296.80983 148.711666 \nL 301.803373 141.399287 \nL 306.566075 133.596058 \nL 310.976473 125.441706 \nL 314.904526 117.116616 \nL 318.217506 108.836747 \nL 320.787462 100.843212 \nL 322.499831 93.386838 \nL 323.262337 86.709045 \nL 323.013062 81.021468 \nL 321.72662 76.48742 \nL 319.417375 73.208422 \nL 316.139259 71.217829 \nL 311.982055 70.482669 \nL 307.064738 70.912673 \nL 301.526817 72.374516 \nL 295.518832 74.708461 \nL 289.193156 77.74467 \nL 282.695978 81.317036 \nL 276.161056 85.273363 \nL 269.705435 89.48174 \nL 263.427145 93.833261 \nL 257.404478 98.24204 \nL 251.696604 102.643345 \nL 246.345075 106.990704 \nL 241.375893 111.252588 \nL 236.801822 115.409143 \nL 232.624751 119.449251 \nL 228.837947 123.368089 \nL 225.428112 127.165092 \nL 222.377179 130.84248 \nL 219.663851 134.4041 \nL 217.264869 137.85465 \nL 215.156045 141.199154 \nL 213.313065 144.442586 \nL 211.712114 147.589693 \nL 210.330335 150.644886 \nL 209.146149 153.612194 \nL 208.139474 156.49527 \nL 207.29185 159.297398 \nL 206.008342 164.670356 \nL 205.181497 169.751497 \nL 204.722687 174.55768 \nL 204.566294 179.103038 \nL 204.666852 183.39944 \nL 204.996318 187.456699 \nL 205.541789 191.282427 \nL 206.303797 194.881713 \nL 207.295223 198.2564 \nL 208.540858 201.404033 \nL 210.077565 204.316246 \nL 210.97006 205.67927 \nL 211.955007 206.976369 \nL 213.04082 208.203594 \nL 214.236885 209.355965 \nL 215.553625 210.427258 \nL 217.002558 211.409771 \nL 218.596349 212.294031 \nL 220.348866 213.068446 \nL 222.27521 213.718906 \nL 224.391742 214.228299 \nL 226.716057 214.575972 \nL 229.266928 214.7371 \nL 232.064172 214.681971 \nL 235.128437 214.375246 \nL 238.480856 213.775116 \nL 242.142536 212.832522 \nL 246.133845 211.490409 \nL 250.473414 209.6832 \nL 255.1768 207.336629 \nL 260.254737 204.368159 \nL 265.710901 200.688369 \nL 271.539134 196.203651 \nL 277.720101 190.820751 \nL 284.217427 184.453645 \nL 290.973487 177.033162 \nL 297.905141 168.519574 \nL 304.899917 158.917819 \nL 311.813481 148.294158 \nL 318.469213 136.792165 \nL 324.661153 124.644591 \nL 330.161153 112.176791 \nL 334.730934 99.797519 \nL 338.138703 87.974084 \nL 340.179118 77.192267 \nL 340.694001 67.905495 \nL 339.590571 60.482131 \nL 336.853749 55.161847 \nL 332.549877 52.030892 \nL 326.821085 51.02152 \nL 319.871275 51.934404 \nL 311.946395 54.477189 \nL 303.312524 58.309356 \nL 294.235156 63.084241 \nL 284.962184 68.481608 \nL 275.711841 74.228127 \nL 266.665855 80.106383 \nL 257.967081 85.954901 \nL 249.720628 91.662266 \nL 241.99727 97.158437 \nL 234.838137 102.405235 \nL 228.25988 107.387535 \nL 222.259725 112.105784 \nL 216.820118 116.570174 \nL 211.912765 120.796225 \nL 207.502008 124.801771 \nL 203.547568 128.604898 \nL 200.006702 132.222694 \nL 196.835855 135.670585 \nL 193.99188 138.961964 \nL 189.118945 145.118499 \nL 185.077427 150.759506 \nL 175.404739 164.87622 \nL 172.328676 168.638911 \nL 170.727425 170.327554 \nL 169.061457 171.878803 \nL 167.315032 173.284135 \nL 165.473227 174.533396 \nL 163.521854 175.614635 \nL 161.447429 176.513951 \nL 159.237191 177.215315 \nL 156.879169 177.700424 \nL 154.362338 177.948543 \nL 151.676823 177.936448 \nL 148.814216 177.638402 \nL 145.767975 177.026263 \nL 142.533954 176.069766 \nL 139.111035 174.737011 \nL 135.501906 172.995255 \nL 131.713942 170.81206 \nL 127.760214 168.156864 \nL 123.660569 165.003107 \nL 119.442749 161.330847 \nL 115.143465 157.129923 \nL 110.809292 152.40356 \nL 106.497286 147.172214 \nL 102.275123 141.477317 \nL 98.220558 135.38447 \nL 94.420059 128.985462 \nL 90.966453 122.398503 \nL 87.955498 115.766007 \nL 85.481478 109.249566 \nL 83.632047 103.022025 \nL 82.482659 97.257125 \nL 82.091149 92.117741 \nL 82.493104 87.743983 \nL 83.698561 84.243017 \nL 85.69052 81.681784 \nL 88.425529 80.083936 \nL 91.836234 79.431026 \nL 95.835665 79.66771 \nL 100.322639 80.709767 \nL 105.187759 82.453667 \nL 110.31926 84.786139 \nL 115.608305 87.592802 \nL 120.953298 90.764998 \nL 126.263053 94.204477 \nL 131.458795 97.826139 \nL 136.475114 101.559053 \nL 141.26001 105.346105 \nL 145.774267 109.142831 \nL 149.990341 112.91574 \nL 153.890978 116.640502 \nL 157.467695 120.300084 \nL 160.719233 123.883137 \nL 163.650094 127.382543 \nL 166.269193 130.794255 \nL 168.588652 134.116369 \nL 170.622768 137.348396 \nL 172.387136 140.490738 \nL 173.897934 143.544294 \nL 175.171333 146.510185 \nL 176.223044 149.389559 \nL 177.067971 152.183458 \nL 177.719944 154.892734 \nL 178.191536 157.51797 \nL 178.49394 160.059455 \nL 178.636891 162.51712 \nL 178.628625 164.890516 \nL 178.47587 167.178762 \nL 178.183853 169.380492 \nL 177.756329 171.493809 \nL 177.195603 173.516188 \nL 176.502586 175.444423 \nL 175.676828 177.274496 \nL 174.716568 179.001479 \nL 173.618784 180.619363 \nL 172.379246 182.120933 \nL 170.99258 183.497555 \nL 169.452326 184.738979 \nL 167.751031 185.833093 \nL 165.880343 186.765664 \nL 163.831147 187.520061 \nL 161.593724 188.076962 \nL 159.157979 188.414038 \nL 156.513713 188.50567 \nL 153.650988 188.322712 \nL 150.560598 187.832293 \nL 147.234648 186.997789 \nL 143.667297 185.778951 \nL 139.855654 184.132357 \nL 135.800873 182.012212 \nL 131.509438 179.371719 \nL 126.994657 176.165058 \nL 122.278297 172.350239 \nL 117.392361 167.892795 \nL 112.380841 162.770481 \nL 107.301326 156.978819 \nL 102.226203 150.537232 \nL 97.24321 143.495304 \nL 92.454967 135.938261 \nL 87.977192 127.990712 \nL 83.935268 119.817319 \nL 80.459082 111.619336 \nL 77.676204 103.626088 \nL 75.703791 96.081474 \nL 74.639943 89.226398 \nL 74.555493 83.279134 \nL 75.487338 78.416526 \nL 77.434282 74.759059 \nL 80.35611 72.36223 \nL 84.176091 71.215666 \nL 88.786527 71.249634 \nL 94.05666 72.347361 \nL 99.841693 74.360573 \nL 105.991961 77.125594 \nL 112.361221 80.477772 \nL 118.813344 84.262709 \nL 125.227187 88.34375 \nL 131.499543 92.605826 \nL 137.546364 96.956467 \nL 143.302613 101.324541 \nL 148.721087 105.657806 \nL 153.770599 109.919785 \nL 158.433777 114.086588 \nL 162.704775 118.143919 \nL 166.587021 122.084525 \nL 170.091128 125.906052 \nL 173.233043 129.609447 \nL 176.032442 133.197658 \nL 178.511388 136.674799 \nL 180.693231 140.0455 \nL 182.601733 143.314509 \nL 184.260389 146.486437 \nL 185.691914 149.565608 \nL 186.917874 152.556023 \nL 187.958432 155.461317 \nL 188.832189 158.284754 \nL 190.145409 163.697545 \nL 190.973073 168.814606 \nL 191.404905 173.652423 \nL 191.506975 178.224438 \nL 191.32435 182.541556 \nL 190.883678 186.612163 \nL 190.195371 190.44188 \nL 189.25521 194.032947 \nL 188.045318 197.383235 \nL 186.534488 200.484643 \nL 185.652765 201.93731 \nL 184.677897 203.320811 \nL 183.602018 204.631252 \nL 182.416285 205.86373 \nL 181.11083 207.012126 \nL 179.674712 208.06888 \nL 178.095871 209.024707 \nL 176.361095 209.868282 \nL 174.455987 210.585836 \nL 172.364962 211.160734 \nL 170.071273 211.572946 \nL 167.557077 211.798459 \nL 164.803574 211.808635 \nL 161.791228 211.569502 \nL 158.500104 211.04101 \nL 154.910356 210.176317 \nL 151.002935 208.921133 \nL 146.760526 207.213268 \nL 142.168819 204.982528 \nL 137.218151 202.151168 \nL 131.905606 198.635242 \nL 126.237601 194.347136 \nL 120.232976 189.1998 \nL 113.926562 183.113096 \nL 107.373046 176.022613 \nL 100.650897 167.891121 \nL 93.865839 158.722403 \nL 87.153232 148.576416 \nL 80.678487 137.583855 \nL 74.634517 125.957214 \nL 69.235391 113.994492 \nL 64.705582 102.071795 \nL 61.264991 90.622103 \nL 59.110859 80.100126 \nL 58.398622 70.936939 \nL 59.224771 63.491855 \nL 61.614602 58.010918 \nL 65.517552 54.601368 \nL 70.810941 53.227172 \nL 77.311699 53.72582 \nL 84.793701 55.840975 \nL 93.007796 59.262695 \nL 101.70134 63.66667 \nL 110.634788 68.746156 \nL 119.593949 74.233409 \nL 128.397517 79.91048 \nL 136.900268 85.611261 \nL 144.992836 91.217526 \nL 152.599073 96.651598 \nL 159.672008 101.867874 \nL 166.189144 106.844575 \nL 172.147719 111.576546 \nL 177.560236 116.069421 \nL 182.450528 120.3352 \nL 186.850395 124.389076 \nL 190.796838 128.247221 \nL 194.32986 131.925433 \nL 197.49075 135.438283 \nL 200.320801 138.798698 \nL 202.860368 142.017817 \nL 207.221132 148.067836 \nL 210.857852 153.643482 \nL 219.730475 167.755603 \nL 222.6186 171.577915 \nL 224.133638 173.309089 \nL 225.717302 174.912046 \nL 227.38469 176.378874 \nL 229.150338 177.700051 \nL 231.028301 178.864316 \nL 233.032204 179.858416 \nL 235.175245 180.666928 \nL 237.470137 181.272043 \nL 239.929007 181.653349 \nL 242.563199 181.787666 \nL 245.383007 181.648924 \nL 248.397305 181.208107 \nL 251.613061 180.433372 \nL 255.034707 179.29033 \nL 258.663402 177.742583 \nL 262.496105 175.75266 \nL 266.524514 173.283331 \nL 270.733891 170.299518 \nL 275.101755 166.770785 \nL 279.596546 162.674539 \nL 284.176373 157.999835 \nL 288.787924 152.751754 \nL 293.36579 146.956064 \nL 297.832372 140.663639 \nL 302.098607 133.954194 \nL 306.065785 126.93834 \nL 309.628577 119.757344 \nL 312.679308 112.57966 \nL 315.113463 105.593927 \nL 316.835942 98.99848 \nL 317.767681 92.988122 \nL 317.851822 87.739677 \nL 317.058715 83.398127 \nL 315.389052 80.065584 \nL 312.874645 77.794598 \nL 309.576696 76.586836 \nL 305.581788 76.397037 \nL 300.996064 77.141344 \nL 295.938422 78.708209 \nL 290.533455 80.970315 \nL 284.904837 83.795541 \nL 279.169766 87.056225 \nL 273.434678 90.63569 \nL 267.792427 94.432282 \nL 262.320783 98.361166 \nL 257.082069 102.354198 \nL 252.123693 106.358682 \nL 247.479337 110.335408 \nL 243.170499 114.256361 \nL 239.208254 118.102488 \nL 235.595055 121.86161 \nL 232.326451 125.526664 \nL 229.392694 129.094246 \nL 226.780137 132.563435 \nL 224.472466 135.93495 \nL 222.451722 139.210484 \nL 220.699146 142.392258 \nL 219.195856 145.482691 \nL 217.923381 148.484225 \nL 216.86406 151.399155 \nL 216.001339 154.229566 \nL 215.319982 156.977298 \nL 214.806203 159.643899 \nL 214.447755 162.230622 \nL 214.233961 164.738416 \nL 214.155723 167.167902 \nL 214.205503 169.519387 \nL 214.377294 171.792793 \nL 214.666571 173.987681 \nL 215.070248 176.103151 \nL 215.586632 178.137844 \nL 216.215372 180.089838 \nL 216.957416 181.956582 \nL 217.814973 183.734784 \nL 218.791478 185.420312 \nL 219.891558 187.008032 \nL 221.121005 188.491666 \nL 222.486742 189.863585 \nL 223.996795 191.114602 \nL 225.660244 192.233704 \nL 227.487175 193.207777 \nL 229.488597 194.021279 \nL 231.676336 194.655884 \nL 234.062884 195.090099 \nL 236.661192 195.298857 \nL 239.484388 195.25314 \nL 242.545381 194.91958 \nL 245.856377 194.260183 \nL 249.428197 193.232167 \nL 253.269457 191.788012 \nL 257.385501 189.875861 \nL 261.777089 187.440414 \nL 266.438836 184.424447 \nL 271.357382 180.771223 \nL 276.5093 176.427969 \nL 281.858848 171.35057 \nL 287.355699 165.509582 \nL 292.932803 158.897534 \nL 298.504783 151.537035 \nL 303.967177 143.489066 \nL 309.19703 134.860293 \nL 314.055292 125.807784 \nL 318.391433 116.539402 \nL 322.050364 107.308184 \nL 324.8816 98.399689 \nL 326.749959 90.112547 \nL 327.54667 82.733888 \nL 327.199589 76.513082 \nL 325.680816 71.638073 \nL 323.010565 68.218554 \nL 319.25652 66.279133 \nL 314.528674 65.763204 \nL 308.970531 66.546321 \nL 302.747989 68.455716 \nL 296.037416 71.292099 \nL 289.014512 74.850131 \nL 281.84493 78.934847 \nL 274.677333 83.372923 \nL 267.639006 88.018884 \nL 260.83386 92.756758 \nL 254.34233 97.498747 \nL 248.222716 102.181861 \nL 242.513438 106.763665 \nL 237.235793 111.217884 \nL 232.396859 115.530375 \nL 227.992325 119.695618 \nL 224.00911 123.713958 \nL 220.427669 127.589412 \nL 217.22396 131.328125 \nL 214.371091 134.937233 \nL 211.840632 138.424153 \nL 209.603659 141.796089 \nL 207.631545 145.059787 \nL 205.896551 148.221409 \nL 204.372234 151.286486 \nL 203.033718 154.259937 \nL 200.823311 159.948892 \nL 199.101721 165.317477 \nL 197.733123 170.388877 \nL 196.105157 177.478906 \nL 193.403978 189.967206 \nL 191.934052 195.430476 \nL 190.797007 198.795298 \nL 189.477277 201.937606 \nL 187.921435 204.850857 \nL 186.068997 207.520854 \nL 185.01006 208.757351 \nL 183.849719 209.922578 \nL 182.577215 211.010955 \nL 181.180838 212.015538 \nL 179.647842 212.927747 \nL 177.964377 213.737057 \nL 176.115422 214.430599 \nL 174.084745 214.992734 \nL 171.854887 215.40451 \nL 169.407183 215.64308 \nL 166.721857 215.681009 \nL 163.778168 215.485526 \nL 160.554702 215.017707 \nL 157.029763 214.231634 \nL 153.182007 213.073584 \nL 148.991287 211.481353 \nL 144.439816 209.383847 \nL 139.51373 206.701167 \nL 134.205105 203.345435 \nL 128.51452 199.222819 \nL 122.454159 194.237128 \nL 116.051541 188.295595 \nL 109.353674 181.317283 \nL 102.431455 173.244502 \nL 95.38392 164.057203 \nL 88.341624 153.789601 \nL 81.4683 142.5474 \nL 74.959684 130.522608 \nL 69.038412 118.001934 \nL 63.944109 105.364113 \nL 59.91851 93.062258 \nL 57.186324 81.589697 \nL 55.933924 71.431932 \nL 56.288952 63.011808 \nL 58.30446 56.63875 \nL 61.950775 52.473335 \nL 67.116903 50.515102 \nL 73.621273 50.615552 \nL 81.229795 52.511723 \nL 89.677856 55.870866 \nL 98.692459 60.336156 \nL 108.011659 65.565062 \nL 117.399169 71.255969 \nL 126.653669 77.162203 \nL 135.613033 83.095516 \nL 144.154539 88.922199 \nL 152.192202 94.554911 \nL 159.67237 99.943016 \nL 166.568559 105.063033 \nL 172.876156 109.910322 \nL 178.607472 114.492394 \nL 183.787331 118.823793 \nL 188.449355 122.92244 \nL 192.6329 126.807185 \nL 196.380632 130.496228 \nL 199.736645 134.006217 \nL 202.745055 137.351773 \nL 207.889826 143.597313 \nL 212.136916 149.307596 \nL 222.141428 163.559703 \nL 225.263316 167.351893 \nL 226.878972 169.053223 \nL 228.554362 170.615993 \nL 230.305603 172.03185 \nL 232.147893 173.290832 \nL 234.0956 174.38122 \nL 236.162298 175.289386 \nL 238.360741 175.999649 \nL 240.702824 176.494106 \nL 243.199425 176.752539 \nL 245.8602 176.752348 \nL 248.693295 176.468549 \nL 251.704945 175.873891 \nL 254.89897 174.939173 \nL 258.276166 173.633716 \nL 261.833561 171.926157 \nL 265.563565 169.785589 \nL 269.453004 167.183097 \nL 273.482109 164.093783 \nL 277.62345 160.499314 \nL 281.840936 156.390927 \nL 286.088983 151.772858 \nL 290.311976 146.66595 \nL 294.444158 141.111172 \nL 298.410189 135.172587 \nL 302.126491 128.93918 \nL 305.503537 122.525007 \nL 308.449092 116.067048 \nL 310.87242 109.720418 \nL 312.6892 103.650889 \nL 313.826785 98.025162 \nL 314.229317 92.999795 \nL 313.862144 88.71001 \nL 312.714977 85.260024 \nL 310.803335 82.716129 \nL 308.168086 81.103565 \nL 304.873082 80.407463 \nL 301.001213 80.577513 \nL 296.649276 81.53531 \nL 291.922381 83.183297 \nL 286.928333 85.413808 \nL 281.77256 88.117266 \nL 276.553916 91.188821 \nL 271.361579 94.53298 \nL 266.273015 98.066402 \nL 261.352968 101.719075 \nL 256.65332 105.434125 \nL 252.21361 109.166857 \nL 248.062039 112.883227 \nL 244.216749 116.558147 \nL 240.687263 120.173742 \nL 237.475957 123.717804 \nL 234.579471 127.182391 \nL 231.990011 130.5627 \nL 229.696533 133.856127 \nL 227.685749 137.061582 \nL 225.942997 140.178913 \nL 224.452958 143.208529 \nL 223.200235 146.151112 \nL 222.169813 149.007406 \nL 221.34742 151.778073 \nL 220.719795 154.46361 \nL 220.274869 157.064236 \nL 220.001913 159.579876 \nL 219.891617 162.01009 \nL 219.936129 164.354024 \nL 220.129082 166.61037 \nL 220.465582 168.777289 \nL 220.942198 170.852352 \nL 221.556914 172.832467 \nL 222.309108 174.71376 \nL 223.199491 176.491484 \nL 224.230065 178.15988 \nL 225.404067 179.71202 \nL 226.725902 181.139636 \nL 228.201071 182.43294 \nL 229.836095 183.580379 \nL 231.638396 184.568413 \nL 233.616179 185.38124 \nL 235.778263 186.000541 \nL 238.133864 186.405193 \nL 240.692339 186.571 \nL 243.462824 186.470479 \nL 246.453818 186.072691 \nL 249.672608 185.3432 \nL 253.124598 184.244216 \nL 256.812479 182.734972 \nL 260.735208 180.772477 \nL 264.886818 178.312716 \nL 269.255065 175.312484 \nL 273.819892 171.73189 \nL 278.551814 167.537721 \nL 283.410264 162.707655 \nL 288.342109 157.235272 \nL 293.280462 151.13565 \nL 298.144085 144.451121 \nL 302.83767 137.256481 \nL 307.253306 129.662724 \nL 311.273374 121.818227 \nL 314.775053 113.906329 \nL 317.636362 106.138475 \nL 319.74347 98.742735 \nL 320.99866 91.9484 \nL 321.328082 85.968182 \nL 320.688395 80.980553 \nL 319.071246 77.114878 \nL 316.504951 74.44179 \nL 313.053037 72.970283 \nL 308.809839 72.651751 \nL 303.893733 73.389877 \nL 298.438985 75.05411 \nL 292.587178 77.494514 \nL 286.479175 80.555678 \nL 280.248345 84.088162 \nL 274.015424 87.956593 \nL 267.885125 92.044447 \nL 261.944427 96.255925 \nL 256.262265 100.515609 \nL 250.890262 104.766537 \nL 245.864226 108.967652 \nL 241.206074 113.090842 \nL 236.92595 117.118128 \nL 233.024358 121.039148 \nL 229.494191 124.84902 \nL 226.322566 128.546636 \nL 223.492432 132.133364 \nL 220.983943 135.612064 \nL 218.7756 138.986402 \nL 216.84517 142.260396 \nL 215.170411 145.438084 \nL 213.729634 148.52335 \nL 212.502118 151.519822 \nL 211.468398 154.430809 \nL 210.610471 157.259317 \nL 209.911911 160.008034 \nL 209.357928 162.679352 \nL 208.632767 167.79803 \nL 208.349145 172.629407 \nL 208.445535 177.183988 \nL 208.88255 181.468751 \nL 209.640753 185.486832 \nL 210.718823 189.236687 \nL 212.13226 192.710679 \nL 212.974004 194.339667 \nL 213.912698 195.892936 \nL 214.9548 197.366696 \nL 216.107788 198.756177 \nL 217.380181 200.055462 \nL 218.781556 201.257249 \nL 220.322578 202.352631 \nL 222.015001 203.330771 \nL 223.87168 204.17859 \nL 225.906543 204.880351 \nL 228.134557 205.417235 \nL 230.571628 205.766821 \nL 233.234458 205.90254 \nL 236.140323 205.793082 \nL 239.306728 205.401796 \nL 242.75095 204.686122 \nL 246.489389 203.597094 \nL 250.536698 202.079042 \nL 254.904644 200.069609 \nL 259.600665 197.500271 \nL 264.626022 194.297586 \nL 269.973573 190.385508 \nL 275.625146 185.689051 \nL 281.548501 180.13967 \nL 287.694117 173.68263 \nL 293.991933 166.286499 \nL 300.348463 157.954424 \nL 306.644847 148.736505 \nL 312.736452 138.741786 \nL 318.454823 128.147499 \nL 323.612728 117.202857 \nL 328.01269 106.224332 \nL 331.459007 95.580185 \nL 333.772506 85.663811 \nL 334.806501 76.858272 \nL 334.461706 69.496855 \nL 332.697718 63.827113 \nL 329.53889 59.985474 \nL 325.07339 57.987647 \nL 319.445552 57.736208 \nL 312.842856 59.042756 \nL 305.479744 61.658778 \nL 297.58082 65.308552 \nL 289.365627 69.718306 \nL 281.036522 74.638114 \nL 272.770328 79.855136 \nL 264.71377 85.199169 \nL 256.982127 90.542054 \nL 249.660337 95.79335 \nL 242.805755 100.894001 \nL 236.451824 105.809436 \nL 230.612106 110.523227 \nL 225.284238 115.031545 \nL 220.453617 119.338774 \nL 216.096624 123.454166 \nL 212.183368 127.389461 \nL 208.679931 131.157214 \nL 205.550175 134.769786 \nL 202.757133 138.238669 \nL 200.264064 141.574188 \nL 198.035217 144.785384 \nL 194.235098 150.864462 \nL 191.106139 156.523554 \nL 187.204057 164.289371 \nL 183.725602 171.228525 \nL 181.400921 175.394581 \nL 178.928261 179.175107 \nL 177.60142 180.911841 \nL 176.196317 182.53937 \nL 174.699738 184.050992 \nL 173.098506 185.438564 \nL 171.379393 186.69227 \nL 169.529051 187.800392 \nL 167.533988 188.749028 \nL 165.380576 189.521806 \nL 163.055105 190.099571 \nL 160.543911 190.460046 \nL 157.833558 190.577513 \nL 154.911136 190.422523 \nL 151.764652 189.961656 \nL 148.383552 189.157417 \nL 144.759428 187.968294 \nL 140.886875 186.349113 \nL 136.764572 184.251766 \nL 132.396582 181.626476 \nL 127.793873 178.423758 \nL 122.976038 174.597198 \nL 117.973164 170.107241 \nL 112.827753 164.926034 \nL 107.596494 159.043242 \nL 102.351756 152.472701 \nL 97.182341 145.259269 \nL 92.193296 137.485147 \nL 87.504291 129.274505 \nL 83.246304 120.79501 \nL 79.556366 112.254927 \nL 76.570464 103.894797 \nL 74.414925 95.973466 \nL 73.197046 88.749317 \nL 72.996065 82.458872 \nL 73.855604 77.295874 \nL 75.778805 73.394278 \nL 78.726947 70.818099 \nL 82.62182 69.559758 \nL 87.351562 69.546821 \nL 92.77906 70.655206 \nL 98.751734 72.726289 \nL 105.111492 75.584602 \nL 111.703728 79.053782 \nL 118.384619 82.96883 \nL 125.026401 87.184327 \nL 131.520513 91.578542 \nL 137.778903 96.054357 \nL 143.733786 100.537769 \nL 149.336359 104.975109 \nL 154.554774 109.329539 \nL 159.371772 113.577539 \nL 163.782195 117.705657 \nL 167.790579 121.707711 \nL 171.40893 125.582525 \nL 174.654756 129.332193 \nL 177.549385 132.960763 \nL 180.116555 136.473336 \nL 182.381272 139.875403 \nL 184.36891 143.172466 \nL 186.104507 146.369788 \nL 187.612251 149.472259 \nL 188.915107 152.484346 \nL 190.034571 155.410088 \nL 190.990514 158.25313 \nL 192.48281 163.703889 \nL 193.516986 168.859243 \nL 194.192123 173.738002 \nL 194.584051 178.356224 \nL 194.748531 182.727925 \nL 194.724377 186.865553 \nL 194.53621 190.780143 \nL 194.196684 194.481385 \nL 193.708139 197.97751 \nL 193.063662 201.275023 \nL 192.247606 204.37823 \nL 191.235575 207.288548 \nL 189.993913 210.00344 \nL 188.47871 212.514808 \nL 186.634341 214.806628 \nL 185.567675 215.862201 \nL 184.39157 216.85144 \nL 183.09487 217.768285 \nL 181.66527 218.605186 \nL 180.089234 219.352804 \nL 178.351924 219.999653 \nL 176.437134 220.531652 \nL 174.327244 220.931611 \nL 172.003207 221.178634 \nL 169.444572 221.247416 \nL 166.629584 221.107445 \nL 163.535369 220.722096 \nL 160.138235 220.047691 \nL 156.414174 219.032468 \nL 152.339546 217.61565 \nL 147.892096 215.726617 \nL 143.052338 213.284438 \nL 137.8054 210.198023 \nL 132.143419 206.36721 \nL 126.068612 201.685345 \nL 119.596999 196.043906 \nL 112.762842 189.339839 \nL 105.623585 181.486232 \nL 98.265012 172.426671 \nL 90.806037 162.153128 \nL 83.402254 150.72617 \nL 76.247054 138.294979 \nL 69.568945 125.113089 \nL 63.623838 111.544329 \nL 58.681304 98.053389 \nL 55.005105 85.176932 \nL 52.829498 73.475074 \nL 52.334333 63.469255 \nL 53.623175 55.577461 \nL 56.708908 50.061483 \nL 61.5098 46.998597 \nL 67.857194 46.284048 \nL 75.513262 47.662013 \nL 84.195223 50.775267 \nL 93.601524 55.22075 \nL 103.435874 60.599306 \nL 113.426256 66.552177 \nL 123.337654 72.782053 \nL 132.978523 79.060212 \nL 150.904194 91.165187 \nL 166.508446 102.17079 \nL 173.366347 107.201276 \nL 179.602138 111.924846 \nL 185.240997 116.35965 \nL 190.318432 120.52784 \nL 194.876707 124.452515 \nL 198.962027 128.155814 \nL 202.622355 131.657852 \nL 205.90579 134.976157 \nL 211.528371 141.118052 \nL 216.181147 146.6686 \nL 225.495129 158.214818 \nL 228.910096 161.905134 \nL 230.645332 163.537476 \nL 232.424794 165.019077 \nL 234.265814 166.341431 \nL 236.184309 167.494472 \nL 238.194851 168.466498 \nL 240.310707 169.244075 \nL 242.543823 169.811989 \nL 244.904737 170.153198 \nL 247.402436 170.248873 \nL 250.04414 170.07844 \nL 252.835006 169.619807 \nL 255.777739 168.849646 \nL 258.872127 167.743901 \nL 262.114482 166.278509 \nL 265.496998 164.430352 \nL 269.007051 162.178541 \nL 272.626457 159.506018 \nL 276.330753 156.40148 \nL 280.088506 152.861667 \nL 283.860796 148.893791 \nL 287.600931 144.51811 \nL 291.254501 139.770332 \nL 294.759906 134.703572 \nL 298.049451 129.389527 \nL 301.051109 123.918406 \nL 303.690921 118.397415 \nL 305.896104 112.947393 \nL 307.598582 107.697714 \nL 308.738818 102.779638 \nL 309.269579 98.318625 \nL 309.15927 94.426484 \nL 308.394454 91.194179 \nL 306.981305 88.686261 \nL 304.945697 86.937692 \nL 302.331995 85.953179 \nL 299.200645 85.70928 \nL 295.624773 86.158613 \nL 291.686219 87.235461 \nL 287.471401 88.86209 \nL 283.067307 90.95495 \nL 278.557979 93.430049 \nL 274.021687 96.207241 \nL 269.528807 99.213291 \nL 265.140489 102.383668 \nL 260.90804 105.663307 \nL 256.872876 109.006529 \nL 253.06693 112.376417 \nL 249.513416 115.743846 \nL 246.227763 119.08634 \nL 243.218703 122.386896 \nL 240.489368 125.632912 \nL 238.038352 128.815202 \nL 235.860712 131.927165 \nL 233.948871 134.964082 \nL 232.293426 137.922577 \nL 230.883823 140.800161 \nL 229.708938 143.594902 \nL 228.757554 146.305154 \nL 228.01875 148.929347 \nL 227.482193 151.465856 \nL 227.138382 153.912823 \nL 226.97881 156.268106 \nL 226.996094 158.529131 \nL 227.184044 160.692835 \nL 227.537716 162.755555 \nL 228.053422 164.712935 \nL 228.728722 166.55982 \nL 229.562399 168.290143 \nL 230.554403 169.896784 \nL 231.705794 171.371448 \nL 233.018652 172.704499 \nL 234.495973 173.88482 \nL 236.141547 174.899598 \nL 237.959795 175.734202 \nL 239.955574 176.371975 \nL 242.133942 176.794095 \nL 244.499882 176.979473 \nL 247.057934 176.904658 \nL 249.811781 176.543891 \nL 252.76373 175.869222 \nL 255.914102 174.850856 \nL 259.260518 173.457667 \nL 262.797077 171.65807 \nL 266.513415 169.421205 \nL 270.393683 166.71856 \nL 274.415483 163.526118 \nL 278.548747 159.826961 \nL 282.754764 155.614383 \nL 286.985338 150.895359 \nL 291.182285 145.694172 \nL 295.277456 140.055882 \nL 299.193381 134.049074 \nL 302.844771 127.767481 \nL 306.140986 121.329683 \nL 308.989459 114.876518 \nL 311.300054 108.56576 \nL 312.990037 102.564157 \nL 313.989397 97.037396 \nL 314.245838 92.13883 \nL 313.729003 87.998503 \nL 312.433344 84.713917 \nL 310.37919 82.343726 \nL 307.611946 80.905365 \nL 304.199386 80.376806 \nL 300.227408 80.701749 \nL 295.794828 81.797447 \nL 291.007683 83.563679 \nL 285.973688 85.891807 \nL 280.797334 88.672655 \nL 275.57586 91.802788 \nL 270.396367 95.188837 \nL 265.333959 98.749912 \nL 260.450948 102.418516 \nL 255.796822 106.140159 \nL 251.408891 109.872269 \nL 247.313345 113.58263 \nL 243.526577 117.247637 \nL 240.056646 120.850612 \nL 236.904728 124.380245 \nL 234.06652 127.829273 \nL 231.533527 131.193373 \nL 229.294196 134.470285 \nL 227.334914 137.65913 \nL 225.64084 140.759887 \nL 224.196589 143.773046 \nL 222.986802 146.699305 \nL 221.996575 149.53941 \nL 221.211806 152.294002 \nL 220.619438 154.963521 \nL 220.207649 157.548149 \nL 219.965966 160.047743 \nL 219.885349 162.461785 \nL 219.958226 164.789339 \nL 220.178504 167.029007 \nL 220.541569 169.178837 \nL 221.044254 171.236294 \nL 221.684813 173.198143 \nL 222.462876 175.060357 \nL 223.3794 176.818006 \nL 224.436627 178.465122 \nL 225.638015 179.994546 \nL 226.988183 181.397753 \nL 228.492833 182.66462 \nL 230.158661 183.783253 \nL 231.993253 184.739702 \nL 234.00494 185.517719 \nL 236.202635 186.098478 \nL 238.59561 186.460293 \nL 241.193206 186.578372 \nL 244.004481 186.424589 \nL 247.037752 185.967348 \nL 250.300016 185.171567 \nL 253.796241 183.998853 \nL 257.528497 182.407943 \nL 261.494924 180.355543 \nL 265.688487 177.79763 \nL 270.095603 174.691389 \nL 274.69457 170.997888 \nL 279.453952 166.685607 \nL 284.330932 161.734778 \nL 289.269879 156.142578 \nL 294.201236 149.928748 \nL 299.041059 143.14134 \nL 303.691532 135.861704 \nL 308.042631 128.207847 \nL 311.975361 120.335037 \nL 315.366536 112.432565 \nL 318.095102 104.716035 \nL 320.049611 97.415042 \nL 321.136235 90.75719 \nL 321.286385 84.950123 \nL 320.462994 80.164138 \nL 318.664549 76.518134 \nL 315.926181 74.071224 \nL 312.31761 72.821073 \nL 307.93826 72.709257 \nL 302.910154 73.6319 \nL 297.369597 75.453649 \nL 291.458639 78.022537 \nL 285.317228 81.183461 \nL 279.076718 84.789067 \nL 272.855055 88.707235 \nL 266.753722 92.825268 \nL 260.856315 97.051251 \nL 255.228441 101.313384 \nL 249.918628 105.557921 \nL 244.959928 109.746444 \nL 240.371881 113.852957 \nL 236.162664 117.861087 \nL 232.331197 121.761649 \nL 228.869156 125.550595 \nL 225.762754 129.227371 \nL 222.994316 132.793689 \nL 220.543602 136.252612 \nL 218.388909 139.607908 \nL 216.507945 142.863617 \nL 214.878534 146.023756 \nL 213.479136 149.092173 \nL 212.28924 152.072436 \nL 211.289644 154.967798 \nL 210.462629 157.781207 \nL 209.79207 160.515294 \nL 209.263485 163.172402 \nL 208.582526 168.263734 \nL 208.336247 173.068931 \nL 208.465275 177.598157 \nL 208.932159 181.858075 \nL 209.719207 185.851446 \nL 210.826691 189.576246 \nL 212.27161 193.024203 \nL 213.130326 194.639541 \nL 214.087057 196.178563 \nL 215.148444 197.637319 \nL 216.322153 199.01085 \nL 217.616894 200.293002 \nL 219.04244 201.476213 \nL 220.609653 202.551243 \nL 222.330487 203.506887 \nL 224.217992 204.329622 \nL 226.286294 205.0032 \nL 228.550535 205.508187 \nL 231.026782 205.821462 \nL 233.731865 205.915648 \nL 236.68313 205.758525 \nL 239.898089 205.312422 \nL 243.393923 204.533659 \nL 247.186793 203.372078 \nL 251.29094 201.770786 \nL 255.717485 199.666257 \nL 260.472906 196.988945 \nL 265.557155 193.664726 \nL 270.961325 189.617399 \nL 276.664965 184.772646 \nL 282.632986 179.06376 \nL 288.81244 172.439388 \nL 295.129258 164.873379 \nL 301.485519 156.376325 \nL 307.757696 147.00803 \nL 313.796639 136.88916 \nL 319.430032 126.209791 \nL 324.46803 115.23187 \nL 328.712432 104.282672 \nL 331.969294 93.737348 \nL 334.064022 83.990373 \nL 334.857324 75.418915 \nL 334.259716 68.343498 \nL 332.242126 62.993303 \nL 328.840596 59.4834 \nL 324.154112 57.808201 \nL 318.335868 57.851986 \nL 311.579466 59.413072 \nL 304.102442 62.235581 \nL 296.12961 66.042085 \nL 287.878285 70.561627 \nL 279.546789 75.550118 \nL 271.306836 80.802083 \nL 263.299567 86.154996 \nL 255.634702 91.487853 \nL 248.392006 96.716319 \nL 241.624265 101.786217 \nL 235.361064 106.666699 \nL 229.612811 111.343967 \nL 224.374688 115.815973 \nL 219.630238 120.088201 \nL 215.354523 124.170505 \nL 211.516762 128.074885 \nL 208.082509 131.813942 \nL 205.015375 135.399913 \nL 202.278355 138.84411 \nL 199.834827 142.156636 \nL 197.649269 145.346284 \nL 193.918233 151.385749 \nL 190.837439 157.008539 \nL 186.974694 164.723327 \nL 183.503422 171.612352 \nL 181.168675 175.743761 \nL 178.675385 179.487258 \nL 177.334463 181.204127 \nL 175.912822 182.810586 \nL 174.397258 184.299684 \nL 172.774584 185.662977 \nL 171.031553 186.890307 \nL 169.154793 187.969566 \nL 167.130783 188.886411 \nL 164.945875 189.623968 \nL 162.58636 190.162521 \nL 160.038603 190.479168 \nL 157.28925 190.547516 \nL 154.325534 190.337384 \nL 151.135703 189.814595 \nL 147.709559 188.940898 \nL 144.0392 187.67407 \nL 140.119916 185.968329 \nL 135.951312 183.775163 \nL 131.538649 181.044717 \nL 126.894394 177.727876 \nL 122.039995 173.779252 \nL 117.007749 169.161145 \nL 111.842702 163.848583 \nL 106.604414 157.835335 \nL 101.368315 151.140616 \nL 96.226297 143.815913 \nL 91.286309 135.951102 \nL 86.670423 127.678533 \nL 82.511145 119.173863 \nL 78.94584 110.652171 \nL 76.109259 102.358561 \nL 74.124775 94.553169 \nL 73.094969 87.491741 \nL 73.092781 81.404089 \nL 74.154417 76.473622 \nL 76.275085 72.821494 \nL 79.408314 70.498036 \nL 83.469045 69.482713 \nL 88.340005 69.692184 \nL 93.880456 70.994598 \nL 99.936131 73.226946 \nL 106.349031 76.212577 \nL 112.966166 79.776579 \nL 119.646496 83.757286 \nL 126.265754 88.013602 \nL 132.719252 92.428504 \nL 138.922849 96.909447 \nL 144.812487 101.386544 \nL 150.342746 105.80957 \nL 155.484716 110.144471 \nL 160.223604 114.369852 \nL 164.556253 118.473809 \nL 168.488754 122.451253 \nL 172.034274 126.301734 \nL 175.211148 130.027788 \nL 178.041237 133.633709 \nL 180.548584 137.124696 \nL 182.758307 140.506267 \nL 184.695746 143.783887 \nL 186.385799 146.962743 \nL 187.852434 150.047645 \nL 189.118338 153.042978 \nL 190.204696 155.952703 \nL 191.915239 161.52921 \nL 193.119927 166.801671 \nL 193.927994 171.790295 \nL 194.424236 176.512123 \nL 194.67206 180.98192 \nL 194.716676 185.212702 \nL 194.588023 189.216028 \nL 194.303213 193.0021 \nL 193.868406 196.579704 \nL 193.280106 199.955998 \nL 192.525887 203.136131 \nL 191.584573 206.122632 \nL 190.425918 208.914479 \nL 189.009789 211.505699 \nL 187.284878 213.88332 \nL 186.287118 214.985333 \nL 185.186957 216.02429 \nL 183.973993 216.994995 \nL 182.636734 217.890948 \nL 181.162515 218.704076 \nL 179.537417 219.42441 \nL 177.746202 220.039697 \nL 175.772247 220.534948 \nL 173.597513 220.891893 \nL 171.202537 221.088346 \nL 168.566485 221.097475 \nL 165.667264 220.886974 \nL 162.481754 220.418161 \nL 158.986155 219.644981 \nL 155.156543 218.513023 \nL 150.969654 216.958588 \nL 146.404013 214.907982 \nL 141.44142 212.277196 \nL 136.068991 208.972315 \nL 130.28173 204.89103 \nL 124.085803 199.925772 \nL 117.502491 193.969116 \nL 110.572756 186.922088 \nL 103.362332 178.70593 \nL 95.966781 169.277602 \nL 88.516014 158.648468 \nL 81.177167 146.904758 \nL 74.15471 134.226645 \nL 67.686302 120.901496 \nL 62.033256 107.32556 \nL 57.465037 93.988748 \nL 54.238206 81.43955 \nL 52.57213 70.231556 \nL 52.624547 60.859299 \nL 54.471741 53.695948 \nL 58.097102 48.947146 \nL 63.390857 46.632146 \nL 70.161111 46.595614 \nL 78.153986 48.545541 \nL 87.07882 52.105889 \nL 96.634018 56.871243 \nL 106.529685 62.452822 \nL 116.504701 68.510161 \nL 126.337457 74.767479 \nL 135.850598 81.017296 \nL 153.426706 92.969617 \nL 168.628466 103.777259 \nL 175.285367 108.710281 \nL 181.327474 113.342176 \nL 186.783461 117.692606 \nL 191.691151 121.784144 \nL 196.094181 125.639667 \nL 200.039398 129.280686 \nL 203.574866 132.7265 \nL 206.748382 135.993758 \nL 212.193482 142.045623 \nL 216.719758 147.517155 \nL 225.893931 158.883277 \nL 229.307071 162.499045 \nL 231.050463 164.091974 \nL 232.843469 165.532183 \nL 234.702994 166.810742 \nL 236.644558 167.917118 \nL 238.682374 168.83913 \nL 240.829356 169.562827 \nL 243.097088 170.072469 \nL 245.495724 170.350479 \nL 248.033834 170.377462 \nL 250.718157 170.132339 \nL 253.553274 169.592547 \nL 256.541205 168.734375 \nL 259.680917 167.533549 \nL 262.96773 165.965976 \nL 266.392658 164.008806 \nL 269.941694 161.641811 \nL 273.595069 158.849051 \nL 277.326492 155.620938 \nL 281.102532 151.956562 \nL 284.882126 147.86622 \nL 288.616356 143.373967 \nL 292.248638 138.51998 \nL 295.715364 133.362359 \nL 298.947173 127.978014 \nL 301.870896 122.462295 \nL 304.412187 116.926942 \nL 306.498731 111.496296 \nL 308.063943 106.301664 \nL 309.050849 101.474306 \nL 309.415768 97.137539 \nL 309.131541 93.398932 \nL 308.189764 90.343337 \nL 306.601931 88.027954 \nL 304.39918 86.479671 \nL 301.630699 85.695272 \nL 298.361034 85.644138 \nL 294.666451 86.272917 \nL 290.630863 87.511547 \nL 286.341657 89.279598 \nL 281.88578 91.492369 \nL 277.346364 94.066042 \nL 272.800051 96.921676 \nL 268.31511 99.987911 \nL 263.950284 103.202475 \nL 259.754341 106.512686 \nL 255.766176 109.875216 \nL 252.015321 113.255295 \nL 248.522785 116.6257 \nL 245.302051 119.965553 \nL 242.360176 123.259191 \nL 239.698877 126.495074 \nL 237.31561 129.664848 \nL 235.204541 132.762544 \nL 233.357428 135.783922 \nL 231.764393 138.725931 \nL 230.414581 141.58633 \nL 229.296708 144.363341 \nL 228.399514 147.055413 \nL 227.712135 149.661024 \nL 227.224365 152.178549 \nL 226.926893 154.606122 \nL 226.811448 156.941541 \nL 226.870907 159.182165 \nL 227.099368 161.324838 \nL 227.492188 163.36577 \nL 228.045983 165.300474 \nL 228.75862 167.12362 \nL 229.629183 168.828949 \nL 230.65792 170.409124 \nL 231.846171 171.855581 \nL 233.196284 173.158396 \nL 234.711503 174.306098 \nL 236.395832 175.285501 \nL 238.253877 176.081545 \nL 240.290644 176.677102 \nL 242.511299 177.052844 \nL 244.920847 177.187117 \nL 247.523795 177.055906 \nL 250.32369 176.632858 \nL 253.32259 175.889478 \nL 256.52043 174.795455 \nL 259.914285 173.319298 \nL 263.497518 171.429193 \nL 267.258811 169.094348 \nL 271.181129 166.28668 \nL 275.240623 162.983072 \nL 279.405529 159.168109 \nL 283.635192 154.837304 \nL 287.879277 150.000636 \nL 292.077339 144.686246 \nL 296.158942 138.943803 \nL 300.044477 132.847167 \nL 303.646866 126.495638 \nL 306.874193 120.01329 \nL 309.633409 113.54583 \nL 311.834833 107.254668 \nL 313.39732 101.308409 \nL 314.253541 95.872347 \nL 314.354991 91.09706 \nL 313.675975 87.107531 \nL 312.21616 83.994258 \nL 310.001313 81.807781 \nL 307.082031 80.557055 \nL 303.530693 80.212038 \nL 299.436921 80.709576 \nL 294.902166 81.961736 \nL 290.03393 83.86495 \nL 284.940302 86.308971 \nL 279.725165 89.184565 \nL 274.484364 92.389427 \nL 269.303033 95.832102 \nL 264.253964 99.43411 \nL 259.396979 103.130454 \nL 254.779083 106.869109 \nL 250.435211 110.609744 \nL 246.389374 114.322096 \nL 242.656036 117.984203 \nL 239.241588 121.58071 \nL 236.145826 125.101349 \nL 233.363325 128.539661 \nL 230.884707 131.891915 \nL 228.697759 135.156292 \nL 226.788393 138.33221 \nL 225.141455 141.419878 \nL 223.741385 144.419919 \nL 222.572756 147.333126 \nL 221.620683 150.160304 \nL 220.871151 152.902122 \nL 220.311243 155.559039 \nL 219.929313 158.131238 \nL 219.715091 160.618575 \nL 219.659757 163.020514 \nL 219.755972 165.336107 \nL 219.997877 167.56392 \nL 220.381092 169.70199 \nL 220.902685 171.747726 \nL 221.56114 173.697863 \nL 222.356307 175.548317 \nL 223.289368 177.294092 \nL 224.362772 178.929151 \nL 225.580186 180.446242 \nL 226.94643 181.836713 \nL 228.467397 183.090328 \nL 230.149976 184.195025 \nL 232.001934 185.136666 \nL 234.031779 185.898781 \nL 236.248594 186.462279 \nL 238.661803 186.805177 \nL 241.280885 186.902334 \nL 244.115018 186.725228 \nL 247.172598 186.241822 \nL 250.460667 185.416547 \nL 253.984187 184.210497 \nL 257.745145 182.581887 \nL 261.741502 180.486908 \nL 265.965942 177.881076 \nL 270.404445 174.721243 \nL 275.034728 170.968321 \nL 279.824566 166.590908 \nL 284.73017 161.569771 \nL 289.694699 155.903072 \nL 294.647189 149.612178 \nL 299.502149 142.747409 \nL 304.160098 135.393053 \nL 308.509375 127.670639 \nL 312.429481 119.739346 \nL 315.796033 111.792438 \nL 318.487287 104.049117 \nL 320.39173 96.741751 \nL 321.416224 90.0994 \nL 321.493663 84.329573 \nL 320.589206 79.600731 \nL 318.704139 76.028404 \nL 315.87675 73.667093 \nL 312.180019 72.509354 \nL 307.716423 72.491595 \nL 302.61061 73.505349 \nL 297.00092 75.411624 \nL 291.030768 78.055912 \nL 284.84078 81.281729 \nL 278.562388 84.941339 \nL 272.313093 88.902985 \nL 266.193555 93.05489 \nL 260.286298 97.306364 \nL 254.655703 101.586916 \nL 249.349047 105.844112 \nL 244.398143 110.04073 \nL 239.821383 114.151826 \nL 235.625896 118.161898 \nL 231.809695 122.06247 \nL 228.363669 125.850038 \nL 225.273372 129.52448 \nL 222.520595 133.087832 \nL 220.084665 136.543396 \nL 217.943539 139.895114 \nL 216.074668 143.147148 \nL 214.455675 146.303623 \nL 213.064878 149.368451 \nL 211.881666 152.34525 \nL 210.886763 155.23733 \nL 210.062402 158.047677 \nL 209.392422 160.778951 \nL 208.459227 166.01356 \nL 207.990717 170.957164 \nL 207.915419 175.622147 \nL 208.184734 180.017539 \nL 208.770627 184.148929 \nL 209.663564 188.017949 \nL 210.870951 191.621206 \nL 212.416169 194.948625 \nL 213.327043 196.503343 \nL 214.338228 197.981007 \nL 215.457076 199.3772 \nL 216.691963 200.686412 \nL 218.052317 201.90183 \nL 219.548643 203.015095 \nL 221.192544 204.016037 \nL 222.996724 204.892326 \nL 224.974991 205.629108 \nL 227.142228 206.208547 \nL 229.514313 206.609353 \nL 232.108007 206.806223 \nL 234.940755 206.769241 \nL 238.030392 206.463272 \nL 241.394736 205.84733 \nL 245.050991 204.874041 \nL 249.01496 203.489239 \nL 253.300002 201.631824 \nL 257.915656 199.234067 \nL 262.865925 196.222572 \nL 268.147137 192.520196 \nL 273.745399 188.049252 \nL 279.633614 182.73635 \nL 285.768224 176.519223 \nL 292.085839 169.355719 \nL 298.500073 161.234838 \nL 304.899104 152.189237 \nL 311.144592 142.30797 \nL 317.072771 131.747355 \nL 322.49844 120.737216 \nL 327.222495 109.579294 \nL 331.04311 98.635167 \nL 333.770147 88.302491 \nL 335.241375 78.980813 \nL 335.33845 71.031436 \nL 334.00016 64.738313 \nL 331.230434 60.277578 \nL 327.099652 57.702317 \nL 321.738781 56.945112 \nL 315.327443 57.837002 \nL 308.077966 60.137439 \nL 300.218005 63.568403 \nL 291.974237 67.84619 \nL 283.558868 72.706329 \nL 275.159955 77.919734 \nL 266.935653 83.300452 \nL 259.012029 88.706508 \nL 251.483612 94.036226 \nL 244.415855 99.22196 \nL 237.84873 104.223099 \nL 231.800819 109.019197 \nL 226.273431 113.604044 \nL 221.254468 117.980826 \nL 216.721852 122.158422 \nL 212.646462 126.148716 \nL 208.994555 129.964732 \nL 205.729718 133.619433 \nL 202.814386 137.124983 \nL 200.210993 140.492345 \nL 197.882819 143.731137 \nL 193.912809 149.854584 \nL 190.645113 155.545969 \nL 186.575531 163.341036 \nL 182.957263 170.287194 \nL 180.54522 174.444237 \nL 177.984653 178.202689 \nL 176.612541 179.922668 \nL 175.160809 181.52907 \nL 173.615949 183.014709 \nL 171.964555 184.370887 \nL 170.193234 185.587161 \nL 168.288549 186.651116 \nL 166.237006 187.548092 \nL 164.025076 188.260895 \nL 161.639271 188.769499 \nL 159.066298 189.050729 \nL 156.293274 189.07798 \nL 153.308056 188.820963 \nL 150.099674 188.245553 \nL 146.658913 187.313762 \nL 142.979053 185.983944 \nL 139.056788 184.211301 \nL 134.893362 181.948826 \nL 130.495897 179.148823 \nL 125.878937 175.765108 \nL 121.066153 171.756107 \nL 116.092131 167.088905 \nL 111.004165 161.74426 \nL 105.863806 155.722458 \nL 100.748004 149.049756 \nL 95.749425 141.784693 \nL 90.975694 134.02344 \nL 86.547197 125.903019 \nL 82.593114 117.601075 \nL 79.245726 109.33108 \nL 76.633 101.332282 \nL 74.870077 93.854599 \nL 74.050396 87.139738 \nL 74.237581 81.400893 \nL 75.459177 76.804153 \nL 77.703193 73.454655 \nL 80.918139 71.389869 \nL 85.016491 70.58086 \nL 89.881163 70.9409 \nL 95.374045 72.339419 \nL 101.34545 74.61848 \nL 107.643307 77.609086 \nL 114.121248 81.145149 \nL 120.644961 85.0739 \nL 127.096547 89.262413 \nL 133.37698 93.600615 \nL 139.40689 98.001356 \nL 145.126027 102.398777 \nL 150.491823 106.74538 \nL 155.477359 111.008766 \nL 160.06907 115.168402 \nL 164.26439 119.212634 \nL 168.069489 123.136237 \nL 171.497219 126.938359 \nL 174.565303 130.62101 \nL 177.29478 134.187912 \nL 179.708725 137.643677 \nL 181.831205 140.993261 \nL 183.68646 144.241621 \nL 185.298269 147.393484 \nL 186.689488 150.453269 \nL 187.88171 153.424997 \nL 188.895049 156.312322 \nL 189.748005 159.118526 \nL 191.038361 164.499149 \nL 191.86726 169.587284 \nL 192.323621 174.399763 \nL 192.47324 178.950642 \nL 192.361616 183.25168 \nL 192.01666 187.312499 \nL 191.450969 191.140456 \nL 190.663518 194.740263 \nL 189.640725 198.113247 \nL 188.356883 201.256197 \nL 186.773974 204.159683 \nL 185.854947 205.516378 \nL 184.840917 206.805525 \nL 183.723254 208.022885 \nL 182.492335 209.163123 \nL 181.137484 210.21961 \nL 179.646925 211.184148 \nL 178.007714 212.046683 \nL 176.205706 212.794928 \nL 174.225517 213.413956 \nL 172.050524 213.885698 \nL 169.662892 214.188385 \nL 167.043651 214.295891 \nL 164.172859 214.177022 \nL 161.029852 213.79475 \nL 157.59363 213.105399 \nL 153.843421 212.057864 \nL 149.759483 210.592959 \nL 145.324182 208.642965 \nL 140.523432 206.131636 \nL 135.34858 202.974889 \nL 129.798774 199.082517 \nL 123.883878 194.361397 \nL 117.627954 188.720624 \nL 111.073201 182.079105 \nL 104.284164 174.375976 \nL 97.351892 165.583862 \nL 90.397356 155.724468 \nL 83.573489 144.885125 \nL 77.064629 133.233673 \nL 71.082487 121.028134 \nL 65.857662 108.616779 \nL 61.626315 96.424616 \nL 58.612602 84.924307 \nL 57.008428 74.592875 \nL 56.953343 65.860017 \nL 58.517985 59.057644 \nL 61.694122 54.381371 \nL 66.393612 51.872668 \nL 72.456511 51.425116 \nL 79.666837 52.811769 \nL 87.773006 55.725886 \nL 96.509426 59.825203 \nL 105.616183 64.771247 \nL 114.854536 70.258251 \nL 124.017443 76.030165 \nL 132.935013 81.886816 \nL 141.475828 87.682152 \nL 149.545108 93.317428 \nL 157.080919 98.732268 \nL 164.049357 103.8954 \nL 170.439425 108.796272 \nL 176.258123 113.438118 \nL 181.525989 117.832525 \nL 186.273282 121.995539 \nL 190.536803 125.944871 \nL 194.357334 129.698165 \nL 197.777639 133.27188 \nL 200.840943 136.680721 \nL 203.589819 139.937406 \nL 208.306849 146.035057 \nL 212.232473 151.627715 \nL 220.235421 163.586983 \nL 223.244682 167.563441 \nL 224.791433 169.367479 \nL 226.389833 171.041395 \nL 228.056261 172.577986 \nL 229.806234 173.968553 \nL 231.654506 175.202744 \nL 233.615146 176.268387 \nL 235.701556 177.151312 \nL 237.926465 177.835205 \nL 240.301829 178.301397 \nL 242.83869 178.528761 \nL 245.546953 178.493617 \nL 248.435056 178.169697 \nL 251.509556 177.528298 \nL 254.774593 176.538513 \nL 258.231229 175.167772 \nL 261.876648 173.382641 \nL 265.703259 171.149997 \nL 269.69765 168.438673 \nL 273.839463 165.221621 \nL 278.100281 161.478622 \nL 282.442489 157.199581 \nL 286.818382 152.388212 \nL 291.169531 147.065995 \nL 295.426663 141.276046 \nL 299.510243 135.086328 \nL 303.331908 128.591722 \nL 306.796933 121.914112 \nL 309.807791 115.199988 \nL 312.268723 108.615085 \nL 314.091075 102.336094 \nL 315.199019 96.539858 \nL 315.535062 91.391193 \nL 315.06473 87.030754 \nL 313.77985 83.564636 \nL 311.699894 81.05733 \nL 308.871236 79.528834 \nL 305.364335 78.956356 \nL 301.269245 79.279941 \nL 296.689955 80.410984 \nL 291.73827 82.242148 \nL 286.52781 84.657157 \nL 281.16868 87.539545 \nL 275.763193 90.779389 \nL 270.40272 94.277944 \nL 265.165791 97.950222 \nL 260.117243 101.725783 \nL 255.308266 105.548286 \nL 250.777115 109.374166 \nL 246.550303 113.170873 \nL 242.644033 116.914962 \nL 239.065779 120.590236 \nL 235.815843 124.186054 \nL 232.888858 127.695928 \nL 230.27513 131.116328 \nL 227.961852 134.44579 \nL 225.934143 137.684199 \nL 224.175899 140.832244 \nL 222.670523 143.891082 \nL 221.401493 146.862045 \nL 220.352801 149.746461 \nL 219.509308 152.545546 \nL 218.856987 155.260295 \nL 218.383101 157.891444 \nL 218.076323 160.439435 \nL 217.926809 162.904353 \nL 217.926226 165.285901 \nL 218.067762 167.583382 \nL 218.346112 169.795617 \nL 218.757456 171.920923 \nL 219.299414 173.957023 \nL 219.971015 175.90097 \nL 220.772645 177.749051 \nL 221.706009 179.496663 \nL 222.774077 181.138181 \nL 223.981037 182.666826 \nL 225.332238 184.074434 \nL 226.834134 185.351291 \nL 228.494205 186.485879 \nL 230.320871 187.464622 \nL 232.323372 188.271602 \nL 234.511623 188.888253 \nL 236.89602 189.293045 \nL 239.487174 189.461185 \nL 242.295586 189.36432 \nL 245.331224 188.970326 \nL 248.60296 188.243175 \nL 252.117898 187.143004 \nL 255.880504 185.626406 \nL 259.891562 183.647109 \nL 264.146942 181.157127 \nL 268.636112 178.108536 \nL 273.340524 174.456073 \nL 278.231804 170.160604 \nL 283.269915 165.193624 \nL 288.401391 159.542684 \nL 293.557905 153.217621 \nL 298.655405 146.257111 \nL 303.59414 138.734801 \nL 308.25997 130.76401 \nL 312.527311 122.499756 \nL 316.263802 114.136775 \nL 319.33683 105.902527 \nL 321.62155 98.044873 \nL 323.009751 90.814945 \nL 323.418653 84.44715 \nL 322.798504 79.138845 \nL 321.137813 75.033232 \nL 318.465422 72.208044 \nL 314.849001 70.672181 \nL 310.390188 70.370221 \nL 305.217007 71.193831 \nL 299.474721 72.997304 \nL 293.316261 75.614456 \nL 286.893274 78.874374 \nL 280.348689 82.614168 \nL 273.811124 86.687746 \nL 267.391342 90.970833 \nL 261.180518 95.362618 \nL 255.250094 99.784946 \nL 249.652756 104.179984 \nL 244.424193 108.507048 \nL 239.585306 112.739261 \nL 235.144571 116.860327 \nL 231.100393 120.861778 \nL 227.443309 124.740648 \nL 224.157957 128.497636 \nL 221.224794 132.135756 \nL 218.62153 135.659332 \nL 216.324323 139.073302 \nL 214.30872 142.382766 \nL 212.550398 145.59269 \nL 211.025723 148.707762 \nL 209.712154 151.732298 \nL 208.588527 154.67022 \nL 207.635235 157.52507 \nL 206.169544 162.998018 \nL 205.19172 168.173121 \nL 204.604494 173.068463 \nL 204.334448 177.699199 \nL 204.329156 182.078148 \nL 204.554326 186.216122 \nL 204.991314 190.121927 \nL 205.635171 193.802138 \nL 206.493308 197.260601 \nL 207.584789 200.497604 \nL 208.940251 203.508624 \nL 210.602385 206.282449 \nL 211.565337 207.574413 \nL 212.626976 208.79838 \nL 213.796562 209.949627 \nL 215.084383 211.022236 \nL 216.501808 212.008869 \nL 218.061356 212.900482 \nL 219.776742 213.685986 \nL 221.662928 214.351861 \nL 223.736143 214.881683 \nL 226.013879 215.255597 \nL 228.51485 215.449688 \nL 231.258877 215.435287 \nL 234.266697 215.178208 \nL 237.559658 214.637918 \nL 241.159245 213.766715 \nL 245.08642 212.508938 \nL 249.360687 210.800359 \nL 253.998841 208.567873 \nL 259.013294 205.729758 \nL 264.409935 202.196762 \nL 270.185454 197.874482 \nL 276.324066 192.667454 \nL 282.793719 186.485525 \nL 289.54184 179.252956 \nL 296.49095 170.920556 \nL 303.534622 161.480631 \nL 310.534433 150.983886 \nL 317.318971 139.556191 \nL 323.685863 127.412119 \nL 329.408018 114.860921 \nL 334.244741 102.300385 \nL 337.957699 90.195218 \nL 340.330757 79.039219 \nL 341.191151 69.305085 \nL 340.429068 61.389905 \nL 338.011694 55.567509 \nL 333.989081 51.958497 \nL 328.490342 50.524365 \nL 321.710937 51.086107 \nL 313.893453 53.361053 \nL 305.305386 57.008531 \nL 296.217525 61.673972 \nL 286.885693 67.024512 \nL 277.537471 72.772313 \nL 268.364233 78.6858 \nL 259.517964 84.591078 \nL 251.111872 90.366761 \nL 243.223539 95.935326 \nL 235.899528 101.253448 \nL 229.160627 106.302735 \nL 223.007048 111.081821 \nL 217.423241 115.600091 \nL 212.382121 119.872988 \nL 207.848614 123.918665 \nL 203.782547 127.755778 \nL 200.140936 131.402089 \nL 196.879734 134.87368 \nL 193.95514 138.184588 \nL 188.947116 144.369828 \nL 184.799965 150.028537 \nL 174.928159 164.150016 \nL 171.809683 167.899924 \nL 170.189927 169.579361 \nL 168.506938 171.119426 \nL 166.744822 172.511505 \nL 164.888563 173.745341 \nL 162.923948 174.808918 \nL 160.837538 175.688245 \nL 158.616689 176.367258 \nL 156.249622 176.827642 \nL 153.72558 177.04872 \nL 151.035045 177.007403 \nL 148.170056 176.678193 \nL 145.124611 176.03333 \nL 141.895199 175.043114 \nL 138.481435 173.67643 \nL 134.886818 171.901566 \nL 131.119624 169.687437 \nL 127.193865 167.005172 \nL 123.130361 163.83024 \nL 118.957776 160.145101 \nL 114.71365 155.942283 \nL 110.445203 151.227918 \nL 106.209829 146.025421 \nL 102.07515 140.378979 \nL 98.118351 134.356488 \nL 94.424679 128.051193 \nL 91.085059 121.581561 \nL 88.192604 115.088784 \nL 85.838279 108.731504 \nL 84.105844 102.677916 \nL 83.06652 97.095591 \nL 82.773866 92.140189 \nL 83.259441 87.944193 \nL 84.529858 84.60744 \nL 86.565588 82.190651 \nL 89.321713 80.712848 \nL 92.730604 80.152962 \nL 96.706137 80.455037 \nL 101.148967 81.536076 \nL 105.95229 83.295171 \nL 111.007435 85.622629 \nL 116.208891 88.408088 \nL 121.458371 91.546928 \nL 126.66779 94.944594 \nL 131.761153 98.519237 \nL 136.675384 102.20249 \nL 141.360362 105.939232 \nL 145.778289 109.686412 \nL 149.902622 113.411489 \nL 153.716729 117.090657 \nL 157.212422 120.707143 \nL 160.388478 124.249598 \nL 163.249221 127.710788 \nL 165.803226 131.086436 \nL 168.062164 134.374352 \nL 170.039797 137.573751 \nL 171.751135 140.684699 \nL 173.211739 143.70778 \nL 174.437158 146.643799 \nL 175.44248 149.493587 \nL 176.241997 152.257881 \nL 176.848943 154.937227 \nL 177.275321 157.531892 \nL 177.531772 160.041839 \nL 177.627502 162.466656 \nL 177.570239 164.805539 \nL 177.366226 167.057196 \nL 177.020222 169.219828 \nL 176.535534 171.291044 \nL 175.91404 173.267782 \nL 175.156235 175.146214 \nL 174.261279 176.921642 \nL 173.227044 178.588334 \nL 172.050166 180.139412 \nL 170.726114 181.566659 \nL 169.249252 182.860318 \nL 167.612933 184.008871 \nL 165.809589 184.998814 \nL 163.830866 185.814368 \nL 161.667782 186.437219 \nL 159.31094 186.846225 \nL 156.750786 187.01716 \nL 153.977957 186.922457 \nL 150.983722 186.531051 \nL 147.760512 185.808321 \nL 144.302616 184.716202 \nL 140.607016 183.21356 \nL 136.6744 181.256925 \nL 132.510348 178.801681 \nL 128.126727 175.803851 \nL 123.543207 172.222625 \nL 118.788933 168.023749 \nL 113.904185 163.183712 \nL 108.941917 157.694852 \nL 103.96901 151.571032 \nL 99.066879 144.853521 \nL 94.331281 137.61634 \nL 89.87089 129.970205 \nL 85.804416 122.063876 \nL 82.256096 114.081862 \nL 79.349609 106.237642 \nL 77.200674 98.762121 \nL 75.908969 91.888023 \nL 75.550183 85.831813 \nL 76.169233 80.775579 \nL 77.775596 76.851766 \nL 80.341526 74.133189 \nL 83.803485 72.629954 \nL 88.066531 72.293452 \nL 93.011188 73.026277 \nL 98.501727 74.696118 \nL 104.394904 77.150798 \nL 110.548126 80.232552 \nL 116.826363 83.789704 \nL 123.107406 87.684889 \nL 129.285291 91.800051 \nL 135.272044 96.038206 \nL 140.998014 100.323111 \nL 146.411098 104.597367 \nL 151.475219 108.819677 \nL 156.168372 112.961898 \nL 160.480472 117.00614 \nL 164.411169 120.9422 \nL 167.967809 124.765402 \nL 171.163564 128.474863 \nL 174.015807 132.072164 \nL 176.54472 135.560376 \nL 178.77214 138.943354 \nL 180.72064 142.22528 \nL 182.412788 145.410345 \nL 183.870588 148.502567 \nL 185.115067 151.505689 \nL 186.165974 154.423135 \nL 187.041591 157.258006 \nL 187.758607 160.013076 \nL 188.332069 162.690834 \nL 189.10025 167.823003 \nL 189.433953 172.669355 \nL 189.396716 177.241294 \nL 189.030073 181.546953 \nL 188.355839 185.590965 \nL 187.378035 189.373816 \nL 186.084269 192.890661 \nL 185.31074 194.545915 \nL 184.446497 196.129458 \nL 183.485613 197.638219 \nL 182.421172 199.068275 \nL 181.245249 200.414698 \nL 179.948881 201.67136 \nL 178.522042 202.830726 \nL 176.953619 203.883577 \nL 175.231392 204.818712 \nL 173.342028 205.622597 \nL 171.271103 206.278942 \nL 169.003138 206.768241 \nL 166.521701 207.067249 \nL 163.809554 207.148399 \nL 160.848889 206.979177 \nL 157.621681 206.521501 \nL 154.110184 205.731131 \nL 150.297605 204.55715 \nL 146.169031 202.941672 \nL 141.712613 200.819892 \nL 136.921124 198.120658 \nL 131.793886 194.767878 \nL 126.339125 190.683019 \nL 120.576771 185.789088 \nL 114.541586 180.016467 \nL 108.28658 173.310821 \nL 101.886354 165.643253 \nL 95.440022 157.022288 \nL 89.073106 147.506841 \nL 82.937649 137.218514 \nL 77.209817 126.350686 \nL 72.084149 115.17134 \nL 67.764146 104.016565 \nL 64.449263 93.272533 \nL 62.3192 83.345883 \nL 61.517365 74.625407 \nL 62.13574 67.441006 \nL 64.203909 62.027525 \nL 67.684154 58.500973 \nL 72.473845 56.852107 \nL 78.41464 56.957818 \nL 85.3069 58.606781 \nL 92.926835 61.5328 \nL 101.043831 65.448825 \nL 109.43561 70.076012 \nL 117.899988 75.164472 \nL 126.262582 80.505118 \nL 134.380692 85.933621 \nL 142.143977 91.328596 \nL 149.472803 96.606339 \nL 156.315062 101.713851 \nL 162.642218 106.621746 \nL 168.445121 111.317749 \nL 173.729951 115.801228 \nL 178.514532 120.078939 \nL 182.825129 124.161817 \nL 186.693766 128.062743 \nL 190.156034 131.795015 \nL 193.249362 135.3714 \nL 196.011685 138.803607 \nL 198.480459 142.102 \nL 200.691944 145.275555 \nL 204.479457 151.277167 \nL 207.626567 156.854305 \nL 216.476128 173.324418 \nL 219.028618 177.155666 \nL 220.388706 178.912828 \nL 221.823441 180.557379 \nL 223.346503 182.082516 \nL 224.971408 183.479973 \nL 226.711606 184.739807 \nL 228.580543 185.850187 \nL 230.591693 186.79712 \nL 232.758547 187.564172 \nL 235.094541 188.132181 \nL 237.612946 188.478955 \nL 240.326647 188.578983 \nL 243.247864 188.403178 \nL 246.387743 187.91871 \nL 249.755821 187.088952 \nL 253.359329 185.87362 \nL 257.202334 184.229218 \nL 261.284669 182.109839 \nL 265.600681 179.468532 \nL 270.137747 176.259317 \nL 274.874654 172.43999 \nL 279.779827 167.975878 \nL 284.809577 162.844551 \nL 289.906523 157.041387 \nL 294.998337 150.585744 \nL 299.997241 143.527272 \nL 304.800451 135.951436 \nL 309.291973 127.983286 \nL 313.346066 119.788155 \nL 316.832412 111.568154 \nL 319.623001 103.553665 \nL 321.600262 95.989713 \nL 322.66577 89.118275 \nL 322.748471 83.158534 \nL 321.811444 78.287965 \nL 319.85604 74.627302 \nL 316.922816 72.231927 \nL 313.088991 71.09099 \nL 308.462847 71.13401 \nL 303.175803 72.243275 \nL 297.373298 74.269539 \nL 291.20559 77.048282 \nL 284.819435 80.414084 \nL 278.351353 84.212016 \nL 271.92277 88.304998 \nL 265.63707 92.57779 \nL 259.578377 96.937808 \nL 253.811724 101.31393 \nL 248.384246 105.654007 \nL 243.327023 109.92169 \nL 238.657284 114.093229 \nL 234.380723 118.154473 \nL 230.493748 122.098294 \nL 226.985588 125.922471 \nL 223.840141 129.628048 \nL 221.037584 133.218077 \nL 218.55572 136.696749 \nL 216.371076 140.068752 \nL 214.459776 143.33888 \nL 212.798226 146.511793 \nL 211.363616 149.591864 \nL 210.134298 152.583111 \nL 209.09003 155.4892 \nL 208.212142 158.313421 \nL 206.889121 163.72783 \nL 206.049173 168.846737 \nL 205.60205 173.686783 \nL 205.48112 178.261659 \nL 205.640673 182.582518 \nL 206.053305 186.65812 \nL 206.707704 190.494569 \nL 207.607003 194.094802 \nL 208.767774 197.457634 \nL 210.219661 200.576294 \nL 211.067661 202.039916 \nL 212.005629 203.436306 \nL 213.04115 204.761933 \nL 214.182767 206.012318 \nL 215.440026 207.18185 \nL 216.823531 208.263573 \nL 218.344986 209.248914 \nL 220.017246 210.127385 \nL 221.85435 210.886217 \nL 223.871531 211.509934 \nL 226.085219 211.979862 \nL 228.512979 212.273564 \nL 231.173423 212.364215 \nL 234.08601 212.219895 \nL 237.270782 211.802851 \nL 240.747912 211.068753 \nL 244.537113 209.965975 \nL 248.656784 208.435044 \nL 253.122886 206.408354 \nL 257.94742 203.81035 \nL 263.136528 200.558459 \nL 268.688058 196.565117 \nL 274.588662 191.741299 \nL 280.810333 186.002005 \nL 287.306609 179.27416 \nL 294.008552 171.507166 \nL 300.82095 162.68605 \nL 307.619356 152.846529 \nL 314.248733 142.090394 \nL 320.524717 130.59861 \nL 326.238412 118.638606 \nL 331.165474 106.561628 \nL 335.079731 94.786926 \nL 337.770497 83.771275 \nL 339.061909 73.96624 \nL 338.831547 65.769098 \nL 337.025089 59.476817 \nL 333.664312 55.252919 \nL 328.846493 53.114514 \nL 322.735415 52.941574 \nL 315.545579 54.505014 \nL 307.522477 57.505859 \nL 298.922258 61.616524 \nL 289.993535 66.516563 \nL 280.963208 71.918619 \nL 272.027125 77.583117 \nL 263.345302 83.32334 \nL 255.041031 89.003148 \nL 247.202805 94.53053 \nL 239.88801 99.849111 \nL 233.127554 104.929535 \nL 226.930708 109.761715 \nL 221.289764 114.34839 \nL 216.184232 118.700121 \nL 211.584458 122.831674 \nL 207.454624 126.759439 \nL 203.755171 130.499788 \nL 200.444699 134.068058 \nL 197.481401 137.478009 \nL 194.824129 140.741602 \nL 190.270604 146.868245 \nL 186.490672 152.508076 \nL 177.403479 166.769483 \nL 174.493824 170.633637 \nL 172.9748 172.385077 \nL 171.391177 174.008109 \nL 169.727584 175.495021 \nL 167.969277 176.836521 \nL 166.102054 178.021597 \nL 164.112202 179.037303 \nL 161.986483 179.868559 \nL 159.712183 180.497969 \nL 157.277207 180.905602 \nL 154.670265 181.06882 \nL 151.881123 180.96217 \nL 148.900964 180.55735 \nL 145.722858 179.82331 \nL 142.342351 178.726521 \nL 138.758203 177.231496 \nL 134.973265 175.301701 \nL 130.995495 172.900795 \nL 126.839122 169.994487 \nL 122.525887 166.552921 \nL 118.086336 162.553728 \nL 113.561049 157.985732 \nL 109.001696 152.853113 \nL 104.471716 147.179926 \nL 100.04644 141.014397 \nL 95.812433 134.432586 \nL 91.865802 127.540499 \nL 88.309331 120.474018 \nL 85.248407 113.395807 \nL 82.785799 106.488812 \nL 81.015588 99.946384 \nL 80.016789 93.95966 \nL 79.847279 88.703695 \nL 80.538806 84.323889 \nL 82.093768 80.924961 \nL 84.484201 78.564032 \nL 87.653188 77.248682 \nL 91.518534 76.940254 \nL 95.978234 77.561416 \nL 100.916994 79.006476 \nL 106.213099 81.152842 \nL 111.74492 83.871859 \nL 117.396461 87.037911 \nL 123.061708 90.53528 \nL 128.647572 94.26229 \nL 134.075535 98.133381 \nL 139.282143 102.079278 \nL 144.218625 106.045929 \nL 148.84982 109.992697 \nL 153.152728 113.890216 \nL 157.11481 117.718182 \nL 160.732244 121.463344 \nL 164.00823 125.117711 \nL 166.951408 128.677092 \nL 169.574452 132.139956 \nL 171.892842 135.506505 \nL 173.923831 138.778021 \nL 175.685587 141.956398 \nL 177.196502 145.043789 \nL 178.474645 148.042404 \nL 179.537352 150.954338 \nL 180.400906 153.781507 \nL 181.080323 156.525573 \nL 181.5892 159.187935 \nL 181.939631 161.769683 \nL 182.142149 164.271593 \nL 182.205726 166.694103 \nL 182.137772 169.037321 \nL 181.944171 171.300948 \nL 181.629315 173.484277 \nL 181.196155 175.586141 \nL 180.646234 177.604845 \nL 179.979745 179.538104 \nL 179.195569 181.382932 \nL 178.291319 183.135553 \nL 177.263372 184.791266 \nL 176.106909 186.344305 \nL 174.815947 187.787647 \nL 173.383381 189.112828 \nL 171.801026 190.309698 \nL 170.059671 191.366155 \nL 168.149154 192.267858 \nL 166.058465 192.997889 \nL 163.775874 193.536409 \nL 161.289132 193.860261 \nL 158.585709 193.942607 \nL 155.653144 193.752569 \nL 152.4795 193.254911 \nL 149.053929 192.409858 \nL 145.367444 191.173069 \nL 141.413845 189.495914 \nL 137.190897 187.326148 \nL 132.701743 184.60915 \nL 127.956558 181.289908 \nL 122.974484 177.315946 \nL 117.78571 172.641348 \nL 112.43364 167.232049 \nL 112.43364 167.232049 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd49988e703\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.945379pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.945379\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T17:31:48.657058</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.945379 \nL 292.718955 286.945379 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 30.54866 208.760512 \nL 118.256417 134.931965 \nL 117.164957 28.616746 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 63.527536 219.531413 \nL 149.468301 144.004028 \nL 149.710524 36.866098 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.303017 230.562485 \nL 181.371076 153.276905 \nL 183.007932 45.306021 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 131.904318 241.86327 \nL 213.987936 162.757339 \nL 217.083538 53.943193 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.362103 253.443783 \nL 247.34313 172.452377 \nL 251.964946 62.784614 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 31.312284 208.117727 \nL 29.018141 210.048836 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(12.461581 232.029623)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 64.2765 218.873201 \nL 62.026362 220.850691 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(45.474003 243.028662)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 98.036386 229.888283 \nL 95.833063 231.913846 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(86.657964 254.294393)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 132.621101 241.172489 \nL 130.46757 243.247899 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(118.119496 265.836634)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 168.06125 252.735803 \nL 165.960666 254.862923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(153.623126 277.665691)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 35.798483 84.83382 \nL 40.546469 196.588233 \nL 188.796381 244.181505 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 51.945916 73.050159 \nL 55.925898 183.69689 \nL 202.725998 229.886291 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 67.611908 61.617832 \nL 70.866359 171.1735 \nL 216.237414 216.020254 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 82.817673 50.521356 \nL 85.38638 159.00253 \nL 229.349185 202.564352 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.5832 39.746148 \nL 99.503463 147.169311 \nL 242.078781 189.500654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 111.927334 29.278452 \nL 113.234151 135.659976 \nL 254.442674 176.812259 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 187.547523 243.780579 \nL 191.297303 244.984386 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(191.037176 265.104028)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 201.490302 229.497489 \nL 205.200515 230.664877 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(204.779867 250.597267)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 215.014658 215.643035 \nL 218.685973 216.77563 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(225.480825 236.526285)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 228.139148 202.198206 \nL 231.772226 203.297542 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(235.234939 222.871737)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 240.881249 189.145101 \nL 244.476742 190.212621 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(247.79306 209.615406)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 253.257431 176.466845 \nL 256.815984 177.503911 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(259.990204 196.740121)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#pd1ae6d9c3a)\" d=\"M 142.357406 191.095162 \nL 142.636568 190.287094 \nL 143.213019 189.644306 \nL 144.083588 189.070203 \nL 146.004379 188.176164 \nL 158.692384 182.942179 \nL 163.768723 180.544345 \nL 170.059215 177.270885 \nL 173.721523 175.205718 \nL 177.756804 172.790152 \nL 182.179388 169.968825 \nL 186.994035 166.682315 \nL 192.191273 162.869716 \nL 197.741496 158.473015 \nL 203.587851 153.443938 \nL 209.638199 147.753798 \nL 215.756858 141.406714 \nL 221.757577 134.455825 \nL 227.399873 127.021011 \nL 232.391811 119.304825 \nL 236.40265 111.601176 \nL 239.088216 104.289682 \nL 240.129701 97.808688 \nL 239.282314 92.60366 \nL 236.424623 89.055718 \nL 231.595116 87.405664 \nL 225.002112 87.696735 \nL 216.999754 89.758248 \nL 208.034275 93.239201 \nL 198.575741 97.68165 \nL 189.054822 102.608621 \nL 163.099175 116.611783 \nL 155.834454 120.32923 \nL 149.334063 123.466897 \nL 143.569531 126.057237 \nL 138.489452 128.162341 \nL 134.031184 129.856508 \nL 126.716539 132.305853 \nL 121.124201 133.915891 \nL 107.647184 137.578773 \nL 103.532843 138.741282 \nL 101.344996 139.099546 \nL 99.93269 139.148841 \nL 98.551341 139.023469 \nL 97.212652 138.709809 \nL 95.940464 138.201848 \nL 94.767992 137.503068 \nL 93.73461 136.628082 \nL 92.882056 135.603765 \nL 92.250092 134.469379 \nL 91.871908 133.27539 \nL 91.769744 132.080675 \nL 91.951396 130.948238 \nL 92.408196 129.939863 \nL 93.114901 129.110503 \nL 94.031527 128.5033 \nL 95.106852 128.146149 \nL 96.28292 128.050205 \nL 97.499784 128.210481 \nL 98.699794 128.608087 \nL 99.830909 129.213498 \nL 100.848864 129.99018 \nL 101.718171 130.897933 \nL 102.412195 131.895641 \nL 102.912589 132.943236 \nL 103.208373 134.002889 \nL 103.29494 135.039555 \nL 103.173146 136.021074 \nL 102.848649 136.917973 \nL 102.331532 137.703178 \nL 101.636244 138.351756 \nL 100.781835 138.840854 \nL 99.792353 139.149922 \nL 98.697371 139.261337 \nL 97.532396 139.161451 \nL 96.338988 138.842105 \nL 95.16434 138.302511 \nL 94.060077 137.551331 \nL 93.080083 136.608582 \nL 92.277332 135.506961 \nL 91.699842 134.292044 \nL 91.386176 133.020906 \nL 91.361136 131.758911 \nL 91.632428 130.574831 \nL 92.188985 129.534852 \nL 93.001453 128.696434 \nL 94.024746 128.103088 \nL 95.20234 127.781016 \nL 96.471484 127.738036 \nL 97.768423 127.964775 \nL 99.032937 128.437564 \nL 100.211689 129.122286 \nL 101.260198 129.978382 \nL 102.143606 130.962431 \nL 102.83646 132.030914 \nL 103.321887 133.142095 \nL 103.590468 134.257071 \nL 103.639108 135.340131 \nL 103.47006 136.358691 \nL 103.090251 137.282944 \nL 102.51096 138.085457 \nL 101.747838 138.740844 \nL 100.821246 139.225699 \nL 99.756807 139.518835 \nL 98.586027 139.601987 \nL 97.346829 139.461024 \nL 96.083715 139.087658 \nL 94.847317 138.481597 \nL 93.693044 137.652885 \nL 92.678626 136.624047 \nL 91.860528 135.431538 \nL 91.289375 134.125849 \nL 91.004965 132.769823 \nL 91.031548 131.434838 \nL 91.374326 130.195173 \nL 92.01794 129.121239 \nL 92.927383 128.272799 \nL 94.051276 127.693469 \nL 95.326895 127.407443 \nL 96.686042 127.418869 \nL 98.06074 127.713702 \nL 99.387977 128.263287 \nL 100.61298 129.028787 \nL 101.691013 129.965602 \nL 102.587818 131.027113 \nL 103.279095 132.167474 \nL 103.7494 133.343382 \nL 103.99081 134.514943 \nL 104.001644 135.645843 \nL 103.785435 136.703105 \nL 103.350258 137.656585 \nL 102.708448 138.478466 \nL 101.876724 139.142853 \nL 100.876642 139.625653 \nL 99.735298 139.904901 \nL 98.486089 139.961496 \nL 97.169365 139.780611 \nL 95.832671 139.353612 \nL 94.53026 138.680509 \nL 93.321604 137.772591 \nL 92.268626 136.654871 \nL 91.431644 135.367668 \nL 90.864252 133.966674 \nL 90.607728 132.520882 \nL 90.685873 131.108158 \nL 91.101333 129.808743 \nL 91.834236 128.697598 \nL 92.843613 127.83697 \nL 94.071438 127.270568 \nL 95.448487 127.020429 \nL 96.900905 127.086797 \nL 98.356385 127.450695 \nL 99.749076 128.078285 \nL 101.022816 128.925887 \nL 102.132665 129.944793 \nL 103.045037 131.085205 \nL 103.736826 132.298993 \nL 104.194026 133.541343 \nL 104.410184 134.771431 \nL 104.384978 135.952407 \nL 104.123138 137.050925 \nL 103.633766 138.036518 \nL 102.930119 138.880933 \nL 102.029838 139.557689 \nL 100.955534 140.041918 \nL 99.735649 140.310671 \nL 98.405386 140.343814 \nL 97.007498 140.125541 \nL 95.592639 139.646587 \nL 94.218862 138.906966 \nL 92.949994 137.918992 \nL 91.852553 136.710041 \nL 90.991186 135.324341 \nL 90.422918 133.822999 \nL 90.190912 132.281562 \nL 90.318781 130.784911 \nL 90.806674 129.41979 \nL 91.630069 128.266206 \nL 92.741781 127.389214 \nL 94.076803 126.832741 \nL 95.559057 126.616619 \nL 97.108755 126.737028 \nL 98.649062 127.169869 \nL 100.111191 127.875904 \nL 101.437547 128.806473 \nL 102.58299 129.908682 \nL 103.514606 131.129519 \nL 104.21049 132.418585 \nL 104.658063 133.729594 \nL 104.852292 135.020836 \nL 104.794148 136.254947 \nL 104.489446 137.398247 \nL 103.948181 138.419926 \nL 103.184379 139.291285 \nL 102.216421 139.98518 \nL 101.067783 140.475824 \nL 99.76807 140.739123 \nL 98.354138 140.75363 \nL 96.871068 140.50225 \nL 95.372619 139.974691 \nL 93.920793 139.170583 \nL 92.584074 138.10289 \nL 91.434029 136.801078 \nL 90.540213 135.313191 \nL 89.963727 133.705895 \nL 89.750216 132.061695 \nL 89.923568 130.473066 \nL 90.481677 129.033975 \nL 91.395404 127.830143 \nL 92.611125 126.929965 \nL 94.056499 126.377921 \nL 95.648213 126.191748 \nL 97.300166 126.363494 \nL 98.93069 126.863762 \nL 100.467845 127.647745 \nL 101.852459 128.661605 \nL 103.039108 129.84815 \nL 103.995502 131.151064 \nL 104.7009 132.517649 \nL 105.144097 133.900135 \nL 105.321432 135.255941 \nL 105.235075 136.547207 \nL 104.891816 137.739926 \nL 104.302395 138.802965 \nL 103.481414 139.707143 \nL 102.447772 140.424592 \nL 101.225566 140.928488 \nL 99.845312 141.193385 \nL 98.34528 141.19624 \nL 96.77269 140.918269 \nL 95.184341 140.347681 \nL 93.646263 139.483151 \nL 92.231879 138.337748 \nL 91.01831 136.942561 \nL 90.08074 135.34917 \nL 89.485185 133.629806 \nL 89.280644 131.874291 \nL 89.492032 130.183358 \nL 89.753674 129.394257 \nL 90.115503 128.659077 \nL 90.572381 127.988973 \nL 91.117486 127.393828 \nL 91.742494 126.882016 \nL 92.437825 126.460182 \nL 93.996516 125.903779 \nL 95.702516 125.740579 \nL 97.462914 125.958584 \nL 99.190739 126.52299 \nL 100.810529 127.383205 \nL 102.26126 128.480016 \nL 103.497026 129.751703 \nL 104.486036 131.138507 \nL 105.208619 132.585314 \nL 105.654884 134.042813 \nL 105.822459 135.467523 \nL 105.714629 136.821084 \nL 105.339033 138.069175 \nL 104.706996 139.180349 \nL 103.833481 140.124947 \nL 102.737642 140.874317 \nL 101.443885 141.400502 \nL 99.983284 141.676506 \nL 98.395176 141.677374 \nL 96.728607 141.382184 \nL 95.043209 140.777038 \nL 93.409016 139.858932 \nL 91.904618 138.640228 \nL 90.613237 137.152905 \nL 89.61653 135.451526 \nL 88.986538 133.613682 \nL 88.776827 131.736736 \nL 88.839247 130.817687 \nL 89.014483 129.930423 \nL 89.300905 129.08881 \nL 89.694805 128.306019 \nL 90.190458 127.594146 \nL 90.780286 126.963856 \nL 91.455086 126.424107 \nL 92.204298 125.981929 \nL 93.016319 125.642282 \nL 93.878841 125.408033 \nL 95.704577 125.257003 \nL 97.581078 125.513048 \nL 99.415409 126.135951 \nL 101.127975 127.06912 \nL 102.655441 128.247646 \nL 103.951089 129.604987 \nL 104.983392 131.077659 \nL 105.73361 132.607927 \nL 106.193059 134.144798 \nL 106.360579 135.643812 \nL 106.240481 137.066079 \nL 105.84114 138.376982 \nL 105.174298 139.54477 \nL 104.255052 140.539326 \nL 103.102504 141.331225 \nL 101.740972 141.891301 \nL 100.20164 142.190856 \nL 98.524407 142.202703 \nL 96.759655 141.903275 \nL 94.969458 141.275824 \nL 93.227646 140.31474 \nL 91.618092 139.030595 \nL 90.230631 137.455118 \nL 89.154383 135.6449 \nL 88.468811 133.682334 \nL 88.292252 132.676024 \nL 88.233718 131.672373 \nL 88.296092 130.686696 \nL 88.480029 129.734481 \nL 88.783866 128.830924 \nL 89.203618 127.990478 \nL 89.733074 127.226411 \nL 90.363968 126.550405 \nL 91.086225 125.972226 \nL 91.88829 125.499487 \nL 92.75747 125.137501 \nL 93.680321 124.889234 \nL 94.643023 124.755371 \nL 96.632937 124.823042 \nL 98.621819 125.307148 \nL 100.516857 126.152314 \nL 102.242396 127.290576 \nL 103.741353 128.649728 \nL 104.974204 130.159569 \nL 105.916507 131.755725 \nL 106.555823 133.381363 \nL 106.888661 134.987338 \nL 106.917882 136.531295 \nL 106.650769 137.976232 \nL 106.097877 139.288885 \nL 105.272655 140.438166 \nL 104.19182 141.393866 \nL 102.876405 142.125762 \nL 101.353395 142.60335 \nL 99.657753 142.796337 \nL 97.83463 142.67616 \nL 95.941299 142.218737 \nL 94.048295 141.408507 \nL 92.239046 140.243693 \nL 90.607194 138.742194 \nL 89.251055 136.947059 \nL 88.706337 135.960622 \nL 88.265105 134.929919 \nL 87.936789 133.868307 \nL 87.729193 132.790608 \nL 87.648144 131.712781 \nL 87.697223 130.651527 \nL 87.877563 129.623836 \nL 88.187723 128.646464 \nL 88.623675 127.735419 \nL 89.178889 126.905446 \nL 89.844531 126.169557 \nL 90.609731 125.538659 \nL 91.461945 125.021264 \nL 92.38735 124.623313 \nL 93.371289 124.348122 \nL 94.398681 124.196448 \nL 95.454442 124.16665 \nL 96.523849 124.254932 \nL 98.648349 124.761625 \nL 100.672002 125.655239 \nL 102.513955 126.861124 \nL 104.114041 128.300696 \nL 105.431399 129.89835 \nL 106.441512 131.585556 \nL 107.132625 133.302577 \nL 107.502266 134.998436 \nL 107.554302 136.629745 \nL 107.296782 138.159019 \nL 106.740634 139.552772 \nL 105.899215 140.779719 \nL 104.788692 141.809258 \nL 103.429164 142.610363 \nL 101.846449 143.151095 \nL 100.074378 143.398924 \nL 98.157344 143.322124 \nL 96.152724 142.892481 \nL 94.132581 142.089541 \nL 92.183821 140.90632 \nL 90.405982 139.355992 \nL 89.614444 138.454451 \nL 88.905769 137.478512 \nL 88.292934 136.438138 \nL 87.788083 135.345358 \nL 87.402091 134.214155 \nL 87.144161 133.060258 \nL 87.021409 131.900828 \nL 87.038547 130.754026 \nL 87.197604 129.638506 \nL 87.497758 128.572844 \nL 87.935296 127.574934 \nL 88.503674 126.661388 \nL 89.193707 125.847002 \nL 89.993886 125.144271 \nL 90.890743 124.563057 \nL 91.869326 124.110354 \nL 92.913675 123.79021 \nL 94.00732 123.603781 \nL 95.133743 123.549501 \nL 96.276814 123.623367 \nL 97.421146 123.819275 \nL 99.65744 124.544648 \nL 101.743571 125.649741 \nL 103.603353 127.049561 \nL 105.183193 128.659438 \nL 106.449362 130.401197 \nL 107.384042 132.206285 \nL 107.981181 134.016453 \nL 108.242762 135.782876 \nL 108.175871 137.464402 \nL 107.790696 139.025388 \nL 107.099481 140.433571 \nL 106.116405 141.658102 \nL 104.858323 142.667945 \nL 103.346307 143.430808 \nL 101.60786 143.912723 \nL 99.679682 144.078622 \nL 97.610651 143.89412 \nL 95.464594 143.328898 \nL 93.322079 142.361844 \nL 91.280311 140.987896 \nL 90.331444 140.153076 \nL 89.450019 139.2259 \nL 88.650849 138.213697 \nL 87.948492 137.126097 \nL 87.356811 135.975082 \nL 86.888511 134.774929 \nL 86.554661 133.54203 \nL 86.364211 132.294597 \nL 86.323574 131.052223 \nL 86.436274 129.835339 \nL 86.702709 128.664581 \nL 87.120029 127.560104 \nL 87.682165 126.54088 \nL 88.379997 125.62405 \nL 89.201661 124.824333 \nL 90.132961 124.153581 \nL 91.157871 123.620473 \nL 92.259098 123.230369 \nL 93.418642 122.985338 \nL 94.618341 122.884318 \nL 95.84038 122.923419 \nL 97.06772 123.096309 \nL 98.284435 123.394648 \nL 99.475989 123.808562 \nL 101.733287 124.938671 \nL 103.755379 126.393481 \nL 105.483474 128.080136 \nL 106.881095 129.913335 \nL 107.92951 131.818935 \nL 108.622935 133.734716 \nL 108.964213 135.609341 \nL 108.961393 137.400284 \nL 108.625368 139.071377 \nL 107.968556 140.590323 \nL 107.004608 141.926448 \nL 105.749046 143.048784 \nL 104.220792 143.924654 \nL 102.444482 144.518922 \nL 100.453452 144.794126 \nL 98.29317 144.711898 \nL 96.024664 144.236 \nL 93.727254 143.337361 \nL 92.597808 142.72411 \nL 91.499583 142.001226 \nL 90.447613 141.170553 \nL 89.457668 140.235964 \nL 88.545959 139.20363 \nL 87.72875 138.082235 \nL 87.021897 136.883106 \nL 86.440333 135.620236 \nL 85.99752 134.310186 \nL 85.70489 132.971829 \nL 85.571314 131.62596 \nL 85.602637 130.294728 \nL 85.801326 129.000978 \nL 86.166242 127.767472 \nL 86.692575 126.61608 \nL 87.371955 125.566978 \nL 88.192723 124.637934 \nL 89.140356 123.843694 \nL 90.198001 123.195533 \nL 91.347102 122.701012 \nL 92.568043 122.363919 \nL 93.840807 122.184398 \nL 95.145573 122.159242 \nL 96.463237 122.282306 \nL 97.775863 122.545008 \nL 99.066996 122.936868 \nL 100.321896 123.446055 \nL 102.673258 124.76528 \nL 104.748924 126.398837 \nL 106.495465 128.247337 \nL 107.882521 130.222463 \nL 108.897252 132.249582 \nL 109.538915 134.267582 \nL 109.814261 136.227007 \nL 109.734056 138.087391 \nL 109.31079 139.81439 \nL 108.557547 141.377037 \nL 107.487928 142.745275 \nL 106.116988 143.88791 \nL 104.463089 144.771086 \nL 102.550613 145.357473 \nL 100.413446 145.60643 \nL 98.098958 145.475535 \nL 95.672033 144.924048 \nL 94.44231 144.479667 \nL 93.218337 143.918647 \nL 92.014298 143.239336 \nL 90.845655 142.441707 \nL 89.728983 141.527706 \nL 88.681713 140.501598 \nL 87.721765 139.370274 \nL 86.867104 138.143503 \nL 86.13519 136.834081 \nL 85.542391 135.457853 \nL 85.103324 134.033581 \nL 84.830214 132.582629 \nL 84.732285 131.128462 \nL 84.815245 129.695983 \nL 85.080886 128.310707 \nL 85.526877 126.997853 \nL 86.146742 125.781385 \nL 86.930033 124.683104 \nL 87.862708 123.721813 \nL 88.927673 122.912673 \nL 90.105445 122.266765 \nL 91.374905 121.790866 \nL 92.714049 121.487485 \nL 94.100732 121.355081 \nL 95.513331 121.388498 \nL 96.931307 121.579488 \nL 98.335654 121.917336 \nL 99.709209 122.389491 \nL 101.036855 122.982198 \nL 102.305597 123.681055 \nL 104.624897 125.339279 \nL 106.603564 127.252616 \nL 108.205212 129.321547 \nL 109.414228 131.462339 \nL 110.229359 133.607202 \nL 110.658168 135.702317 \nL 110.712758 137.70481 \nL 110.406837 139.579479 \nL 109.754082 141.295589 \nL 108.767669 142.824028 \nL 107.460904 144.134822 \nL 105.848846 145.195164 \nL 103.950902 145.968024 \nL 101.794355 146.411635 \nL 99.418663 146.480144 \nL 96.880216 146.126112 \nL 95.573359 145.77652 \nL 94.256917 145.305361 \nL 92.944526 144.708893 \nL 91.651436 143.984722 \nL 90.394419 143.132187 \nL 89.191585 142.152779 \nL 88.062108 141.050565 \nL 87.025831 139.832553 \nL 86.102749 138.509023 \nL 85.312399 137.093719 \nL 84.673164 135.60391 \nL 84.201512 134.060253 \nL 83.91124 132.486453 \nL 83.81275 130.908689 \nL 83.912441 129.35484 \nL 84.212247 127.85351 \nL 84.709384 126.43296 \nL 85.396331 125.119974 \nL 86.261059 123.938777 \nL 87.287496 122.910087 \nL 88.456167 122.05036 \nL 89.745006 121.371299 \nL 91.130226 120.879643 \nL 92.58723 120.577244 \nL 94.091437 120.461402 \nL 95.619059 120.525378 \nL 97.147712 120.759079 \nL 98.656895 121.149787 \nL 100.128311 121.682925 \nL 101.546062 122.342775 \nL 102.896685 123.113114 \nL 104.169108 123.977764 \nL 106.446206 125.928 \nL 108.330402 128.078742 \nL 109.80038 130.333134 \nL 110.852832 132.613274 \nL 111.495647 134.858344 \nL 111.742506 137.021269 \nL 111.60903 139.064922 \nL 111.110394 140.958441 \nL 110.260278 142.67385 \nL 109.070996 144.183143 \nL 107.554706 145.455793 \nL 105.72568 146.456781 \nL 103.603599 147.145288 \nL 101.217876 147.474339 \nL 98.612837 147.391973 \nL 97.247395 147.179661 \nL 95.853363 146.844547 \nL 94.442923 146.380703 \nL 93.030117 145.783085 \nL 91.630868 145.047928 \nL 90.262935 144.173197 \nL 88.945762 143.159077 \nL 87.700221 142.008478 \nL 86.5482 140.727511 \nL 85.512068 139.325909 \nL 84.614009 137.81735 \nL 83.875219 136.219601 \nL 83.315045 134.554466 \nL 82.950075 132.847476 \nL 82.793257 131.127302 \nL 82.853131 129.424918 \nL 83.133221 127.772495 \nL 83.631663 126.202161 \nL 84.341126 124.744653 \nL 85.249004 123.428002 \nL 86.337928 122.276359 \nL 87.586499 121.309041 \nL 88.970222 120.539911 \nL 90.46254 119.977079 \nL 92.035899 119.622959 \nL 93.662757 119.474658 \nL 95.316477 119.524589 \nL 96.97207 119.761278 \nL 98.606748 120.17025 \nL 100.2003 120.734928 \nL 101.735284 121.437498 \nL 103.19708 122.259662 \nL 104.573816 123.183274 \nL 105.856189 124.190841 \nL 108.112088 126.393155 \nL 109.932214 128.750538 \nL 111.307914 131.169366 \nL 112.245935 133.577274 \nL 112.761414 135.919641 \nL 112.872651 138.155223 \nL 112.597643 140.251814 \nL 111.952139 142.182253 \nL 110.949049 143.920933 \nL 109.599029 145.440789 \nL 107.912144 146.710751 \nL 105.900653 147.693655 \nL 103.582926 148.344859 \nL 102.317858 148.529959 \nL 100.988508 148.611889 \nL 99.60132 148.583082 \nL 98.164245 148.435782 \nL 96.686938 148.162242 \nL 95.180965 147.754999 \nL 93.65996 147.207197 \nL 92.139723 146.513008 \nL 90.638272 145.668111 \nL 89.175761 144.670244 \nL 87.774297 143.519794 \nL 86.457597 142.220407 \nL 85.250488 140.779572 \nL 84.178225 139.209096 \nL 83.265662 137.525479 \nL 82.536267 135.750032 \nL 82.011067 133.908744 \nL 81.707558 132.031817 \nL 81.638687 130.152863 \nL 81.811988 128.307787 \nL 82.228952 126.533371 \nL 82.884722 124.865708 \nL 83.768141 123.338578 \nL 84.86217 121.981921 \nL 86.144638 120.820526 \nL 87.589254 119.873086 \nL 89.166826 119.151644 \nL 90.846514 118.661498 \nL 92.597088 118.401491 \nL 94.388043 118.364686 \nL 96.190564 118.539257 \nL 97.978251 118.909574 \nL 99.727614 119.457258 \nL 101.418371 120.162269 \nL 103.033526 121.00385 \nL 104.559313 121.961318 \nL 105.984994 123.014696 \nL 107.3026 124.14519 \nL 108.506601 125.335476 \nL 110.561801 127.834467 \nL 112.14212 130.406681 \nL 113.257005 132.972483 \nL 113.925462 135.473369 \nL 114.169837 137.866828 \nL 114.011635 140.12122 \nL 113.469074 142.211253 \nL 112.556127 144.114033 \nL 111.282778 145.805697 \nL 109.656409 147.258478 \nL 107.684289 148.438199 \nL 105.377267 149.302209 \nL 104.103737 149.599845 \nL 102.754766 149.798125 \nL 101.335166 149.888985 \nL 99.851152 149.86387 \nL 98.310592 149.713875 \nL 96.723274 149.429955 \nL 95.101142 149.003203 \nL 93.458514 148.425228 \nL 91.812248 147.688618 \nL 90.181806 146.787491 \nL 88.589243 145.718144 \nL 87.059015 144.47976 \nL 85.617624 143.075164 \nL 84.293085 141.511541 \nL 83.114131 139.801085 \nL 82.109259 137.961484 \nL 81.305555 136.01615 \nL 80.727433 133.994109 \nL 80.395299 131.929504 \nL 80.324305 129.860668 \nL 80.523285 127.828766 \nL 80.993964 125.876096 \nL 81.730599 124.044172 \nL 82.72004 122.371707 \nL 83.942259 120.892775 \nL 85.371308 119.635221 \nL 86.976586 118.619527 \nL 88.724323 117.858237 \nL 90.57913 117.35589 \nL 92.505488 117.109526 \nL 94.469075 117.109534 \nL 96.437848 117.340857 \nL 98.382845 117.784317 \nL 100.278701 118.417931 \nL 102.10389 119.2182 \nL 103.84076 120.161194 \nL 105.475383 121.223463 \nL 106.997263 122.382707 \nL 108.398975 123.618253 \nL 109.675762 124.911341 \nL 110.825107 126.245261 \nL 112.740163 128.978991 \nL 114.153905 131.725181 \nL 115.088931 134.416131 \nL 115.572741 137.004532 \nL 115.632259 139.457364 \nL 115.29047 141.750485 \nL 114.564747 143.864044 \nL 113.466527 145.778625 \nL 112.002142 147.471933 \nL 110.174719 148.915849 \nL 109.125689 149.533241 \nL 107.987214 150.073768 \nL 106.760349 150.531164 \nL 105.446766 150.898379 \nL 104.048976 151.167582 \nL 102.570583 151.330141 \nL 101.016553 151.376699 \nL 99.393515 151.297258 \nL 97.710078 151.081353 \nL 95.97714 150.7183 \nL 94.208191 150.197538 \nL 92.419578 149.509092 \nL 90.630698 148.644151 \nL 88.864098 147.595754 \nL 87.145415 146.359617 \nL 85.503146 144.93502 \nL 83.96817 143.325737 \nL 82.573028 141.540954 \nL 81.350916 139.596037 \nL 80.334422 137.51308 \nL 79.554054 135.321115 \nL 79.036616 133.055839 \nL 78.803594 130.758831 \nL 78.869668 128.476197 \nL 79.241523 126.256704 \nL 79.917085 124.149516 \nL 80.885315 122.201723 \nL 82.126593 120.455876 \nL 83.613657 118.94784 \nL 85.313039 117.705113 \nL 87.18682 116.745786 \nL 89.194521 116.078241 \nL 91.295023 115.70154 \nL 93.448248 115.606386 \nL 95.616593 115.776516 \nL 97.765993 116.190348 \nL 99.866611 116.822632 \nL 101.89321 117.646112 \nL 103.825193 118.632887 \nL 105.646434 119.755589 \nL 107.344933 120.988239 \nL 108.912368 122.306862 \nL 110.343595 123.689827 \nL 111.63612 125.118018 \nL 112.789606 126.574841 \nL 113.805396 128.046111 \nL 115.435188 130.986172 \nL 116.555105 133.865151 \nL 117.199955 136.634292 \nL 117.403325 139.26176 \nL 117.193613 141.726358 \nL 116.591985 144.012366 \nL 115.61174 146.105355 \nL 114.258841 147.988615 \nL 112.533419 149.640016 \nL 111.530064 150.369638 \nL 110.432328 151.029038 \nL 109.239922 151.612627 \nL 107.952905 152.113943 \nL 106.571893 152.525602 \nL 105.098297 152.83923 \nL 103.534604 153.045455 \nL 101.884682 153.133906 \nL 100.15413 153.093293 \nL 98.350647 152.911534 \nL 96.484428 152.575979 \nL 94.568553 152.073745 \nL 92.619362 151.392182 \nL 90.656762 150.519478 \nL 88.70445 149.445443 \nL 86.789979 148.162443 \nL 84.944625 146.666477 \nL 83.202971 144.958356 \nL 81.602196 143.04489 \nL 80.180993 140.940008 \nL 78.978136 138.665638 \nL 78.030734 136.252215 \nL 77.372235 133.738636 \nL 77.030368 131.171545 \nL 77.025161 128.603891 \nL 77.367287 126.092754 \nL 78.056936 123.696573 \nL 79.083354 121.472028 \nL 80.425172 119.470858 \nL 82.051484 117.736998 \nL 83.923593 116.30428 \nL 85.997208 115.195053 \nL 88.224854 114.419657 \nL 90.558288 113.976937 \nL 92.950642 113.855434 \nL 95.358206 114.03522 \nL 97.741729 114.489992 \nL 100.067239 115.189252 \nL 102.306413 116.100323 \nL 104.436586 117.190129 \nL 106.440449 118.42657 \nL 108.305579 119.779555 \nL 110.023843 121.221674 \nL 111.590743 122.72855 \nL 113.00478 124.278973 \nL 114.266824 125.854836 \nL 115.379565 127.440934 \nL 116.347011 129.024713 \nL 117.866135 132.146522 \nL 118.867966 135.161093 \nL 119.396493 138.03233 \nL 119.490383 140.73919 \nL 119.179898 143.269325 \nL 118.485541 145.614131 \nL 117.417935 147.764822 \nL 115.978651 149.709095 \nL 114.161856 151.42805 \nL 113.108657 152.194575 \nL 111.956896 152.893133 \nL 110.705105 153.518119 \nL 109.352074 154.062921 \nL 107.897062 154.519818 \nL 106.340061 154.879902 \nL 104.682089 155.133004 \nL 102.925537 155.267667 \nL 101.074571 155.271161 \nL 99.135562 155.129556 \nL 97.117579 154.827905 \nL 95.032886 154.350545 \nL 92.897447 153.68154 \nL 90.731411 152.805321 \nL 88.55948 151.707532 \nL 86.411176 150.37609 \nL 84.320852 148.802485 \nL 82.327416 146.983251 \nL 80.473656 144.921539 \nL 78.805133 142.628701 \nL 77.368562 140.125659 \nL 76.209723 137.443879 \nL 75.371 134.625719 \nL 74.888677 131.723922 \nL 74.790283 128.800094 \nL 75.092238 125.922191 \nL 75.798125 123.161067 \nL 76.897858 120.586436 \nL 78.367874 118.26263 \nL 80.17239 116.244646 \nL 82.2656 114.575013 \nL 84.594507 113.281755 \nL 87.102101 112.377649 \nL 89.730511 111.860842 \nL 92.423806 111.716498 \nL 95.130268 111.919246 \nL 97.804006 112.436002 \nL 100.405917 113.228838 \nL 102.904035 114.257656 \nL 105.273423 115.482374 \nL 107.495696 116.864675 \nL 109.558323 118.369191 \nL 111.453815 119.964233 \nL 113.178879 121.622127 \nL 114.733591 123.319253 \nL 116.120642 125.035855 \nL 117.344649 126.75573 \nL 118.411582 128.465845 \nL 119.328261 130.15591 \nL 120.740037 133.445997 \nL 121.63799 136.583573 \nL 122.074983 139.546978 \nL 122.094412 142.327126 \nL 121.728111 144.92148 \nL 120.995733 147.3296 \nL 119.905071 149.549723 \nL 118.453037 151.575815 \nL 116.62722 153.39477 \nL 114.408119 154.983379 \nL 113.143828 155.680456 \nL 111.772402 156.304893 \nL 110.291113 156.849333 \nL 108.697709 157.30505 \nL 106.990717 157.661835 \nL 105.169779 157.907875 \nL 103.236074 158.029662 \nL 101.192794 158.011968 \nL 99.045706 157.837891 \nL 96.803759 157.489002 \nL 94.47976 156.945654 \nL 92.091057 156.187486 \nL 89.660222 155.19417 \nL 87.215622 153.946449 \nL 84.791848 152.427503 \nL 82.429853 150.624653 \nL 80.176682 148.531344 \nL 78.084694 146.149326 \nL 76.210111 143.490889 \nL 74.610899 140.580832 \nL 73.343937 137.457908 \nL 72.461615 134.175346 \nL 72.008134 130.800135 \nL 72.015846 127.410828 \nL 72.502131 124.093846 \nL 73.467219 120.93851 \nL 74.893387 118.031252 \nL 76.745679 115.449755 \nL 78.974127 113.257701 \nL 81.5172 111.500922 \nL 84.305997 110.205321 \nL 87.268664 109.376764 \nL 90.334519 109.002742 \nL 93.437488 109.055414 \nL 96.518622 109.495426 \nL 99.527645 110.275973 \nL 102.423605 111.346628 \nL 105.174803 112.656572 \nL 107.758177 114.157164 \nL 110.158356 115.803635 \nL 112.366539 117.556173 \nL 114.379342 119.380375 \nL 116.197681 121.247267 \nL 117.825754 123.133011 \nL 119.270153 125.018439 \nL 120.539111 126.888491 \nL 121.641867 128.731615 \nL 123.387841 132.305037 \nL 124.585409 135.696051 \nL 125.305204 138.887189 \nL 125.606254 141.876035 \nL 125.533743 144.668215 \nL 125.118432 147.272645 \nL 124.377003 149.698249 \nL 123.312875 151.951478 \nL 121.917261 154.0342 \nL 120.170388 155.941516 \nL 118.043031 157.659167 \nL 115.498653 159.160239 \nL 114.057439 159.816654 \nL 112.496704 160.400875 \nL 110.811619 160.903887 \nL 108.997928 161.314899 \nL 107.052311 161.621125 \nL 104.972829 161.8076 \nL 102.759469 161.857011 \nL 100.414798 161.749602 \nL 97.94472 161.463167 \nL 95.359354 160.973212 \nL 92.673997 160.253314 \nL 89.910139 159.275808 \nL 87.096473 158.012807 \nL 84.269774 156.437743 \nL 81.47554 154.527382 \nL 78.768196 152.264404 \nL 76.210629 149.640451 \nL 73.872895 146.659503 \nL 71.829867 143.341209 \nL 70.15774 139.723799 \nL 68.929489 135.865914 \nL 68.209543 131.846749 \nL 68.048185 127.764019 \nL 68.476412 123.729459 \nL 69.50205 119.861987 \nL 71.107807 116.279233 \nL 73.251772 113.088489 \nL 75.870333 110.378397 \nL 78.883165 108.212616 \nL 82.199509 106.626392 \nL 85.7248 105.626262 \nL 89.366808 105.19272 \nL 93.040598 105.28498 \nL 96.671979 105.846984 \nL 100.199415 106.813568 \nL 103.574554 108.116138 \nL 106.761716 109.68724 \nL 109.736672 111.463911 \nL 112.485056 113.389823 \nL 115.000632 115.416303 \nL 117.28361 117.502615 \nL 119.33911 119.615601 \nL 121.175822 121.728996 \nL 122.804886 123.822566 \nL 124.238969 125.881177 \nL 125.491547 127.89392 \nL 127.506839 131.75447 \nL 128.956308 135.373086 \nL 129.934283 138.745082 \nL 130.519618 141.880443 \nL 130.774372 144.796388 \nL 130.744125 147.512854 \nL 130.459093 150.049832 \nL 129.935482 152.425766 \nL 129.176774 154.656577 \nL 128.174748 156.754899 \nL 126.910196 158.729292 \nL 125.353352 160.583173 \nL 123.464155 162.313192 \nL 121.192582 163.906764 \nL 118.479431 165.338374 \nL 115.258226 166.564223 \nL 113.435271 167.079518 \nL 111.459279 167.51479 \nL 109.32232 167.855716 \nL 107.017564 168.085036 \nL 104.539907 168.182139 \nL 101.886774 168.122717 \nL 99.059116 167.878452 \nL 96.062621 167.416865 \nL 92.909159 166.701401 \nL 89.618417 165.691865 \nL 86.219679 164.345392 \nL 82.753654 162.618131 \nL 79.274101 160.467815 \nL 75.849036 157.85738 \nL 72.561083 154.759706 \nL 69.506522 151.163319 \nL 66.792605 147.078683 \nL 64.532711 142.544317 \nL 62.839287 137.631633 \nL 61.81485 132.447108 \nL 61.541946 127.130495 \nL 62.07344 121.848104 \nL 63.424866 116.781224 \nL 65.570489 112.110727 \nL 68.444139 108.000292 \nL 71.944924 104.581012 \nL 75.946866 101.940272 \nL 80.310692 100.116692 \nL 84.895728 99.10146 \nL 89.570111 98.845185 \nL 94.218171 99.268207 \nL 98.744667 100.272214 \nL 103.07612 101.751163 \nL 107.159954 103.600282 \nL 110.962218 105.72251 \nL 114.464594 108.032427 \nL 117.661252 110.458012 \nL 120.555887 112.940815 \nL 123.15913 115.435003 \nL 125.486393 117.905888 \nL 127.556156 120.328152 \nL 129.388625 122.684117 \nL 132.425386 127.155228 \nL 134.760918 131.275155 \nL 136.545952 135.042384 \nL 137.911282 138.476659 \nL 139.40608 143.06698 \nL 140.789983 148.296208 \nL 142.444562 154.621959 \nL 143.354678 157.219065 \nL 144.060646 158.760181 \nL 144.880257 160.151164 \nL 145.845494 161.388893 \nL 146.992424 162.465233 \nL 148.362765 163.366075 \nL 150.005409 164.069879 \nL 151.977847 164.545629 \nL 154.347338 164.750022 \nL 157.191463 164.623815 \nL 160.597375 164.087281 \nL 164.658611 163.03508 \nL 166.964213 162.274471 \nL 169.467476 161.331501 \nL 172.177289 160.184104 \nL 175.099986 158.808411 \nL 178.238156 157.179193 \nL 181.589163 155.270647 \nL 185.143334 153.057606 \nL 188.881824 150.517333 \nL 192.774195 147.631984 \nL 196.775845 144.391845 \nL 200.825476 140.799386 \nL 204.842954 136.873966 \nL 208.728082 132.656888 \nL 212.360895 128.216149 \nL 215.604239 123.649914 \nL 218.309296 119.087414 \nL 220.324508 114.685818 \nL 221.507776 110.62191 \nL 221.741032 107.078104 \nL 220.945274 104.22371 \nL 219.093461 102.194055 \nL 216.21822 101.071424 \nL 212.41221 100.872412 \nL 207.820182 101.545108 \nL 202.624009 102.977355 \nL 197.023585 105.014184 \nL 191.217381 107.480145 \nL 185.386091 110.201513 \nL 174.221223 115.824077 \nL 159.984394 123.360655 \nL 149.341017 129.186265 \nL 144.043425 132.290645 \nL 139.905285 134.987836 \nL 136.675593 137.433271 \nL 134.125633 139.73392 \nL 132.058546 141.952872 \nL 129.511773 145.188581 \nL 124.943314 151.329742 \nL 123.248366 153.232653 \nL 121.347996 155.030674 \nL 119.178902 156.696956 \nL 116.680517 158.196671 \nL 113.795046 159.483021 \nL 112.190344 160.027053 \nL 110.469713 160.492139 \nL 108.628217 160.866621 \nL 106.662123 161.136994 \nL 104.569331 161.28771 \nL 102.349889 161.301035 \nL 100.006623 161.156968 \nL 97.545874 160.833276 \nL 94.978335 160.305684 \nL 92.319968 159.548288 \nL 89.592955 158.534286 \nL 86.826613 157.237056 \nL 84.058193 155.631711 \nL 81.333359 153.697135 \nL 78.706256 151.418519 \nL 76.238907 148.79032 \nL 73.999768 145.819454 \nL 72.061253 142.52838 \nL 70.496259 138.957656 \nL 69.373676 135.167374 \nL 68.75328 131.236949 \nL 68.680487 127.262759 \nL 69.18165 123.353502 \nL 70.260656 119.623485 \nL 71.897417 116.184466 \nL 74.04868 113.137194 \nL 76.651066 110.563792 \nL 79.625963 108.522098 \nL 82.885517 107.042825 \nL 86.338863 106.129598 \nL 89.897827 105.761696 \nL 93.481487 105.89869 \nL 97.019306 106.486118 \nL 100.452849 107.461265 \nL 103.736212 108.758429 \nL 106.835511 110.313179 \nL 109.72772 112.065424 \nL 112.399162 113.961393 \nL 114.843877 115.954593 \nL 117.062038 118.006026 \nL 119.058496 120.083879 \nL 120.841515 122.162871 \nL 122.421705 124.223455 \nL 123.811149 126.250943 \nL 125.022701 128.234679 \nL 126.964309 132.043918 \nL 128.347273 135.619902 \nL 129.261493 138.956987 \nL 129.78183 142.063876 \nL 129.966725 144.956411 \nL 129.858419 147.65314 \nL 129.483941 150.172605 \nL 128.856339 152.531702 \nL 127.975865 154.74452 \nL 126.83093 156.821412 \nL 125.398816 158.767903 \nL 123.646186 160.58325 \nL 121.529603 162.25828 \nL 118.996341 163.772237 \nL 115.986081 165.088195 \nL 114.281935 165.654435 \nL 112.434326 166.146673 \nL 110.435603 166.552557 \nL 108.27893 166.857163 \nL 105.958801 167.042633 \nL 103.471712 167.087835 \nL 100.816985 166.968069 \nL 97.997793 166.654849 \nL 95.022373 166.115887 \nL 91.905443 165.315316 \nL 88.669768 164.214332 \nL 85.347814 162.772387 \nL 81.983355 160.949068 \nL 78.632804 158.706899 \nL 75.365998 156.015066 \nL 72.266042 152.854139 \nL 69.427807 149.221524 \nL 66.954713 145.137175 \nL 64.953507 140.6488 \nL 63.527109 135.835431 \nL 62.765979 130.80816 \nL 62.738922 125.706964 \nL 63.484744 120.69304 \nL 65.006256 115.93702 \nL 67.267964 111.604391 \nL 70.198173 107.840432 \nL 73.695278 104.757162 \nL 77.637205 102.424673 \nL 81.892285 100.868048 \nL 86.329826 100.069948 \nL 90.82888 99.977649 \nL 95.284371 100.512792 \nL 99.61043 101.581856 \nL 103.741235 103.085816 \nL 107.629997 104.927855 \nL 111.246776 107.018869 \nL 114.575749 109.280709 \nL 117.612354 111.647576 \nL 120.360624 114.066021 \nL 122.830869 116.494073 \nL 125.037722 118.899852 \nL 126.998598 121.259993 \nL 128.732474 123.55808 \nL 131.597657 127.928769 \nL 133.786962 131.969943 \nL 135.441128 135.679224 \nL 136.681887 139.074493 \nL 137.6105 142.182415 \nL 138.592523 146.368932 \nL 139.438705 151.204349 \nL 140.905774 160.524983 \nL 141.445015 162.715802 \nL 142.126417 164.661813 \nL 143.012267 166.364486 \nL 143.754307 167.359362 \nL 144.650616 168.233956 \nL 145.736272 168.976744 \nL 147.053857 169.570805 \nL 148.65503 169.992046 \nL 150.602187 170.206776 \nL 152.970055 170.168349 \nL 155.846859 169.812696 \nL 159.334359 169.052568 \nL 163.54546 167.770586 \nL 168.597124 165.811902 \nL 171.472267 164.518732 \nL 174.594857 162.978858 \nL 177.971459 161.161181 \nL 181.60312 159.033051 \nL 185.483149 156.561543 \nL 189.594432 153.715485 \nL 193.906274 150.46838 \nL 198.370893 146.802443 \nL 202.919822 142.713843 \nL 207.460623 138.219069 \nL 211.874617 133.362045 \nL 216.016523 128.22121 \nL 219.717141 122.915125 \nL 222.790153 117.604703 \nL 225.043884 112.48978 \nL 226.298008 107.797958 \nL 226.403894 103.764844 \nL 225.265868 100.606983 \nL 222.859018 98.491564 \nL 219.23915 97.509465 \nL 214.541244 97.658832 \nL 208.965723 98.844513 \nL 202.754969 100.894235 \nL 196.165345 103.587248 \nL 189.440725 106.687931 \nL 182.792384 109.976189 \nL 164.744118 119.37403 \nL 136.096137 134.40018 \nL 132.321122 136.728744 \nL 129.323831 138.865608 \nL 126.868679 140.897016 \nL 123.787245 143.826003 \nL 120.047958 147.513197 \nL 118.093472 149.219677 \nL 115.972925 150.792892 \nL 113.621776 152.192122 \nL 110.987701 153.367582 \nL 108.031535 154.257853 \nL 106.424844 154.572952 \nL 104.730837 154.787006 \nL 102.950401 154.887885 \nL 101.08647 154.862375 \nL 99.144414 154.696275 \nL 97.132458 154.374549 \nL 95.06213 153.881644 \nL 92.948716 153.201926 \nL 90.811667 152.320297 \nL 88.674934 151.223023 \nL 86.567149 149.89876 \nL 84.521601 148.339801 \nL 82.575916 146.543468 \nL 80.771355 144.513599 \nL 79.151706 142.262011 \nL 77.761699 139.809747 \nL 76.644995 137.187959 \nL 75.841812 134.43813 \nL 75.386387 131.611533 \nL 75.304468 128.76772 \nL 75.611119 125.972084 \nL 76.309138 123.292561 \nL 77.388304 120.795836 \nL 78.825601 118.543318 \nL 80.586421 116.587479 \nL 82.626647 114.968899 \nL 84.895333 113.71437 \nL 87.337697 112.836232 \nL 89.898086 112.332924 \nL 92.522632 112.19051 \nL 95.161411 112.384994 \nL 97.769991 112.884948 \nL 100.310363 113.654226 \nL 102.751306 114.654466 \nL 105.068306 115.847212 \nL 107.243137 117.195555 \nL 109.26321 118.665301 \nL 111.12082 120.225699 \nL 112.812335 121.849772 \nL 114.337423 123.514392 \nL 115.69832 125.200128 \nL 116.899177 126.890953 \nL 117.945495 128.573894 \nL 118.843642 130.238642 \nL 120.222921 133.483287 \nL 121.091977 136.581356 \nL 121.501159 139.509715 \nL 121.491883 142.257674 \nL 121.094499 144.821028 \nL 120.327641 147.197611 \nL 119.198539 149.383797 \nL 117.704047 151.371512 \nL 115.832299 153.145335 \nL 114.749443 153.944454 \nL 113.565153 154.679404 \nL 112.276759 155.344751 \nL 110.881725 155.933957 \nL 109.377866 156.439242 \nL 107.7636 156.851472 \nL 106.038261 157.160041 \nL 104.202455 157.352774 \nL 102.258499 157.415892 \nL 100.210906 157.334007 \nL 98.066942 157.090232 \nL 95.837233 156.666398 \nL 93.536405 156.04344 \nL 91.183729 155.201992 \nL 88.803709 154.123232 \nL 86.426558 152.79001 \nL 84.088463 151.188289 \nL 81.83153 149.308875 \nL 79.703301 147.149362 \nL 77.755732 144.716224 \nL 76.04354 142.026788 \nL 74.621883 139.110867 \nL 73.543466 136.011755 \nL 72.8552 132.786189 \nL 72.594719 129.503084 \nL 72.787134 126.24087 \nL 73.442447 123.083504 \nL 74.554017 120.115477 \nL 76.098364 117.416299 \nL 78.036416 115.055219 \nL 80.316048 113.086776 \nL 82.875606 111.547797 \nL 85.647947 110.456141 \nL 88.564514 109.811206 \nL 91.558991 109.595981 \nL 94.570249 109.780154 \nL 97.54441 110.323781 \nL 100.436035 111.181039 \nL 103.208512 112.303651 \nL 105.833835 113.643713 \nL 108.291929 115.155826 \nL 110.569724 116.798575 \nL 112.660084 118.535317 \nL 114.560733 120.334515 \nL 116.273229 122.169689 \nL 117.802039 124.019088 \nL 119.15373 125.865237 \nL 120.336283 127.694413 \nL 121.358523 129.496085 \nL 122.95894 132.987685 \nL 124.027338 136.300988 \nL 124.628972 139.419787 \nL 124.817577 142.341429 \nL 124.633394 145.070346 \nL 124.10269 147.613573 \nL 123.238147 149.977547 \nL 122.039721 152.165579 \nL 120.495783 154.175568 \nL 118.584559 155.997555 \nL 116.276048 157.610776 \nL 114.961849 158.328773 \nL 113.534838 158.979986 \nL 111.990452 159.55698 \nL 110.324467 160.050795 \nL 108.533281 160.450737 \nL 106.614281 160.744214 \nL 104.566278 160.916567 \nL 102.390042 160.950919 \nL 100.088931 160.82814 \nL 97.669629 160.52686 \nL 95.142965 160.023684 \nL 92.524817 159.293589 \nL 89.837048 158.310627 \nL 87.108402 157.048976 \nL 84.375273 155.484443 \nL 81.682222 153.596404 \nL 79.082034 151.370272 \nL 76.635178 148.800322 \nL 74.408441 145.892795 \nL 72.47261 142.668878 \nL 70.899124 139.167231 \nL 69.755817 135.445438 \nL 69.101985 131.579923 \nL 68.98329 127.663804 \nL 69.427165 123.80258 \nL 70.439369 120.107759 \nL 72.00239 116.689073 \nL 74.075993 113.64627 \nL 76.59999 111.061612 \nL 79.498806 108.99423 \nL 82.687217 107.477035 \nL 86.076384 106.516498 \nL 89.579476 106.094995 \nL 93.116226 106.175171 \nL 96.61616 106.705294 \nL 100.020421 107.624909 \nL 103.28235 108.870009 \nL 106.367106 110.3773 \nL 109.250608 112.087324 \nL 111.918115 113.946532 \nL 114.362655 115.908352 \nL 116.583476 117.933484 \nL 118.584607 119.989683 \nL 120.373601 122.051172 \nL 121.960463 124.097882 \nL 123.35677 126.114619 \nL 124.574962 128.090253 \nL 126.527885 131.88957 \nL 127.917985 135.461696 \nL 128.833898 138.798833 \nL 129.349676 141.908107 \nL 129.523204 144.804197 \nL 129.396266 147.504738 \nL 128.995428 150.027527 \nL 128.333214 152.38873 \nL 127.409241 154.601625 \nL 126.211187 156.675555 \nL 124.715529 158.614705 \nL 122.888144 160.416468 \nL 120.684983 162.06909 \nL 118.053181 163.54823 \nL 114.933196 164.812066 \nL 113.170667 165.343783 \nL 111.262983 165.79458 \nL 109.20324 166.151002 \nL 106.985624 166.396908 \nL 104.605975 166.51314 \nL 102.062538 166.477223 \nL 99.356851 166.263126 \nL 96.49484 165.841166 \nL 93.488093 165.178127 \nL 90.355298 164.237694 \nL 87.123797 162.981352 \nL 83.831157 161.369915 \nL 80.526554 159.365771 \nL 77.271805 156.936066 \nL 74.14163 154.056777 \nL 71.22285 150.717618 \nL 68.612091 146.927429 \nL 66.411701 142.719419 \nL 64.723788 138.155417 \nL 63.642578 133.327964 \nL 63.24581 128.359161 \nL 63.58623 123.395492 \nL 64.684614 118.598475 \nL 66.525681 114.131936 \nL 69.0579 110.147662 \nL 72.197487 106.771745 \nL 75.835943 104.093988 \nL 79.849867 102.162067 \nL 84.111354 100.981164 \nL 88.497399 100.518506 \nL 92.89719 100.711411 \nL 97.216775 101.477017 \nL 101.381183 102.722051 \nL 105.33442 104.351268 \nL 109.037982 106.273934 \nL 112.468533 108.408147 \nL 115.615207 110.683145 \nL 118.47695 113.040075 \nL 121.060102 115.43165 \nL 123.376307 117.821075 \nL 125.440794 120.180665 \nL 127.271019 122.490328 \nL 128.885602 124.736132 \nL 131.543574 129.003599 \nL 133.561556 132.950009 \nL 135.07235 136.576794 \nL 136.189734 139.902897 \nL 137.007507 142.954736 \nL 137.832068 147.079952 \nL 138.334629 150.741256 \nL 138.711926 155.0312 \nL 139.004156 161.276267 \nL 139.419484 171.417735 \nL 139.748024 174.129972 \nL 140.104309 175.660013 \nL 140.64074 176.970516 \nL 141.218043 177.80215 \nL 142.009918 178.489925 \nL 143.099168 179.009869 \nL 144.045662 179.244314 \nL 145.218915 179.36908 \nL 146.673945 179.359605 \nL 148.478666 179.181841 \nL 150.716358 178.788524 \nL 153.488084 178.113964 \nL 156.91444 177.066918 \nL 161.1354 175.521235 \nL 166.305872 173.304476 \nL 172.582646 170.186217 \nL 176.178776 168.199216 \nL 180.09544 165.871215 \nL 184.335504 163.156764 \nL 188.89106 160.009585 \nL 193.739277 156.385642 \nL 198.837476 152.247786 \nL 204.117602 147.572337 \nL 209.480508 142.35774 \nL 214.790922 136.635229 \nL 219.874327 130.480617 \nL 224.517564 124.025525 \nL 228.475198 117.465094 \nL 231.483644 111.058192 \nL 233.283979 105.115764 \nL 233.652513 99.974212 \nL 232.435084 95.954175 \nL 229.578128 93.310481 \nL 225.147861 92.184787 \nL 219.33032 92.574977 \nL 212.409818 94.33252 \nL 204.730211 97.1903 \nL 196.648912 100.812729 \nL 188.495107 104.852863 \nL 172.986947 113.015461 \nL 159.54481 120.063136 \nL 148.568376 125.481509 \nL 139.905503 129.433855 \nL 122.225179 137.140625 \nL 118.03261 139.377467 \nL 109.570638 144.304372 \nL 107.45752 145.186137 \nL 105.225655 145.84429 \nL 102.85626 146.227861 \nL 100.353368 146.283403 \nL 97.745444 145.957446 \nL 95.087495 145.20081 \nL 93.764623 144.648403 \nL 92.462617 143.975389 \nL 91.196163 143.180294 \nL 89.981437 142.26365 \nL 88.835825 141.228369 \nL 87.777578 140.080111 \nL 86.825339 138.827588 \nL 85.997575 137.482789 \nL 85.311934 136.061052 \nL 84.784527 134.581009 \nL 84.429224 133.064312 \nL 84.256932 131.535172 \nL 84.274985 130.019677 \nL 84.486646 128.544952 \nL 84.8908 127.138175 \nL 85.481844 125.825533 \nL 86.249805 124.631174 \nL 87.180694 123.576262 \nL 88.257049 122.678202 \nL 89.458632 121.950063 \nL 90.763221 121.400281 \nL 92.147459 121.032612 \nL 93.587674 120.846349 \nL 95.060624 120.836735 \nL 96.54414 120.995531 \nL 98.017647 121.311686 \nL 99.462529 121.772049 \nL 100.862363 122.362058 \nL 102.20303 123.066378 \nL 103.472715 123.869461 \nL 105.762797 125.711298 \nL 107.679377 127.773793 \nL 109.19552 129.958948 \nL 110.303372 132.186607 \nL 111.007485 134.393325 \nL 111.319336 136.529525 \nL 111.253313 138.55596 \nL 110.824126 140.440173 \nL 110.045542 142.153192 \nL 108.930297 143.666627 \nL 107.491092 144.950195 \nL 105.742618 145.969765 \nL 103.704601 146.686024 \nL 101.405805 147.054086 \nL 98.88886 147.024475 \nL 97.567001 146.844518 \nL 96.215557 146.546156 \nL 94.846059 146.123703 \nL 93.471778 145.572286 \nL 92.107762 144.888199 \nL 90.770798 144.069316 \nL 89.479285 143.115549 \nL 88.253013 142.029304 \nL 87.11279 140.815954 \nL 86.079975 139.484222 \nL 85.175856 138.046506 \nL 84.420939 136.519045 \nL 83.834142 134.921902 \nL 83.431947 133.278728 \nL 83.227571 131.616271 \nL 83.230214 129.963632 \nL 83.444456 128.351303 \nL 83.869846 126.810024 \nL 84.50076 125.369543 \nL 85.326509 124.057375 \nL 86.331743 122.89766 \nL 87.497076 121.91022 \nL 88.799915 121.109871 \nL 90.215405 120.506062 \nL 91.717418 120.102823 \nL 93.27953 119.899032 \nL 94.875889 119.888927 \nL 96.481967 120.0628 \nL 98.075143 120.40781 \nL 99.63511 120.90882 \nL 101.144124 121.549214 \nL 102.587103 122.311651 \nL 103.9516 123.178702 \nL 105.227675 124.133357 \nL 107.486108 126.241821 \nL 109.324607 128.521512 \nL 110.729912 130.877663 \nL 111.705104 133.235911 \nL 112.262685 135.539392 \nL 112.419278 137.744739 \nL 112.192035 139.817929 \nL 111.59654 141.730407 \nL 110.646063 143.455649 \nL 109.351985 144.966194 \nL 107.72532 146.231114 \nL 105.779302 147.214006 \nL 103.53309 147.871652 \nL 101.016553 148.153703 \nL 99.670579 148.136479 \nL 98.276026 148.004008 \nL 96.842287 147.748978 \nL 95.380554 147.364359 \nL 93.903959 146.843726 \nL 92.427685 146.181637 \nL 90.968982 145.374093 \nL 89.547111 144.41904 \nL 88.183159 143.316925 \nL 86.899727 142.071249 \nL 85.720465 140.689115 \nL 84.669443 139.18168 \nL 83.770371 137.564482 \nL 83.045704 135.857577 \nL 82.51565 134.085419 \nL 82.197172 132.276448 \nL 82.103015 130.462366 \nL 82.240896 128.677125 \nL 82.612895 126.955626 \nL 83.215129 125.332295 \nL 84.037766 123.839569 \nL 85.065354 122.506448 \nL 86.277485 121.357268 \nL 87.649709 120.410754 \nL 89.154628 119.679452 \nL 90.763081 119.16956 \nL 92.4453 118.881141 \nL 94.171999 118.808695 \nL 95.915292 118.941942 \nL 97.649417 119.266783 \nL 99.351263 119.766311 \nL 101.00068 120.421805 \nL 102.580599 121.213655 \nL 104.077022 122.12212 \nL 105.478863 123.127969 \nL 106.777715 124.21295 \nL 107.967564 125.360116 \nL 110.006258 127.780812 \nL 111.582559 130.285505 \nL 112.702478 132.793739 \nL 113.382287 135.245558 \nL 113.642377 137.596757 \nL 113.503047 139.814044 \nL 112.982009 141.870621 \nL 112.093338 143.742351 \nL 110.847669 145.40442 \nL 109.253509 146.828495 \nL 107.319666 147.980289 \nL 105.058827 148.81763 \nL 103.811977 149.102759 \nL 102.492408 149.289388 \nL 101.105164 149.36976 \nL 99.656656 149.335703 \nL 98.154904 149.178776 \nL 96.609777 148.890471 \nL 95.033213 148.462508 \nL 93.439405 147.887181 \nL 91.844941 147.157819 \nL 90.268849 146.269312 \nL 88.732555 145.218724 \nL 87.259681 144.005954 \nL 85.875688 142.634424 \nL 84.607324 141.111747 \nL 83.48189 139.450288 \nL 82.526311 137.667594 \nL 81.766039 135.786543 \nL 81.223865 133.835225 \nL 80.918704 131.84642 \nL 80.86444 129.856699 \nL 81.068958 127.90514 \nL 81.533463 126.031741 \nL 82.252147 124.275644 \nL 83.212279 122.673288 \nL 84.394714 121.256705 \nL 85.774774 120.052081 \nL 87.323434 119.078727 \nL 89.008692 118.348537 \nL 90.796994 117.865945 \nL 92.654626 117.628355 \nL 94.548941 117.626938 \nL 96.449366 117.847727 \nL 98.328174 118.272815 \nL 100.160964 118.881606 \nL 101.926922 119.651967 \nL 103.608867 120.561281 \nL 105.19312 121.58727 \nL 106.669255 122.708657 \nL 108.029773 123.905626 \nL 109.269727 125.160104 \nL 110.386331 126.455915 \nL 112.246857 129.116328 \nL 113.61826 131.794296 \nL 114.520313 134.422396 \nL 114.97803 136.952715 \nL 115.016379 139.351112 \nL 114.657001 141.592032 \nL 113.916578 143.654103 \nL 112.806548 145.516349 \nL 111.333972 147.154972 \nL 109.503488 148.54048 \nL 107.320418 149.635193 \nL 106.099567 150.058976 \nL 104.795172 150.391225 \nL 103.410297 150.624175 \nL 101.949139 150.749354 \nL 100.417308 150.757657 \nL 98.822098 150.639477 \nL 97.172781 150.384889 \nL 95.480903 149.983919 \nL 93.760535 149.426915 \nL 92.028492 148.705013 \nL 90.304481 147.810716 \nL 88.611125 146.738592 \nL 86.973855 145.486044 \nL 85.420591 144.054157 \nL 83.981221 142.448542 \nL 82.686833 140.680134 \nL 81.568701 138.765824 \nL 80.65704 136.728849 \nL 79.979595 134.59884 \nL 79.560143 132.411403 \nL 79.417034 130.207222 \nL 79.561895 128.030665 \nL 79.998649 125.927938 \nL 80.722959 123.944939 \nL 81.72219 122.124983 \nL 82.975895 120.506616 \nL 84.456813 119.121723 \nL 86.132265 117.994147 \nL 87.9658 117.138895 \nL 89.918968 116.561995 \nL 91.953022 116.260975 \nL 94.030445 116.225832 \nL 96.116201 116.440363 \nL 98.178661 116.883669 \nL 100.190197 117.5317 \nL 102.127464 118.358683 \nL 103.971429 119.338406 \nL 105.707192 120.445226 \nL 107.323658 121.654841 \nL 108.813121 122.94482 \nL 110.170796 124.29492 \nL 111.394342 125.687214 \nL 112.483402 127.106091 \nL 114.264007 129.9721 \nL 115.534091 132.809225 \nL 116.323916 135.559701 \nL 116.66525 138.184663 \nL 116.586651 140.657764 \nL 116.110773 142.959809 \nL 115.253264 145.074309 \nL 114.022893 146.983781 \nL 112.42275 148.666512 \nL 111.483955 149.414167 \nL 110.452485 150.093576 \nL 109.328316 150.699547 \nL 108.111713 151.22611 \nL 106.803412 151.666448 \nL 105.404849 152.012863 \nL 103.918402 152.256737 \nL 102.347672 152.388545 \nL 100.697802 152.397905 \nL 98.975812 152.2737 \nL 97.190956 152.004261 \nL 95.355074 151.577652 \nL 93.482948 150.982071 \nL 91.592599 150.206379 \nL 89.705497 149.240769 \nL 87.846667 148.077593 \nL 86.044616 146.712305 \nL 84.331014 145.1445 \nL 82.740137 143.379015 \nL 81.307969 141.426944 \nL 80.07099 139.306527 \nL 79.064682 137.043716 \nL 78.321767 134.672303 \nL 77.870343 132.233493 \nL 77.732036 129.774811 \nL 77.920366 127.348377 \nL 78.439521 125.008576 \nL 79.283681 122.809339 \nL 80.437011 120.80123 \nL 81.874368 119.028727 \nL 83.562621 117.527875 \nL 85.46249 116.324649 \nL 87.530663 115.434113 \nL 89.722025 114.860446 \nL 91.991735 114.597727 \nL 94.297042 114.631334 \nL 96.598705 114.939739 \nL 98.861973 115.496455 \nL 101.05716 116.271968 \nL 103.159817 117.235477 \nL 105.150631 118.356348 \nL 107.015088 119.605246 \nL 108.742982 120.954926 \nL 110.32785 122.380736 \nL 111.766387 123.860865 \nL 113.057852 125.376391 \nL 114.203527 126.911176 \nL 115.206217 128.451686 \nL 116.798933 131.507153 \nL 117.873881 134.476275 \nL 118.471567 137.316691 \nL 118.629058 140.002296 \nL 118.376416 142.516794 \nL 117.734974 144.848567 \nL 116.716969 146.98656 \nL 115.326206 148.916837 \nL 113.559628 150.619441 \nL 112.533183 151.376738 \nL 111.409867 152.065364 \nL 110.188699 152.679772 \nL 108.868976 153.213478 \nL 107.450488 153.658956 \nL 105.93377 154.007589 \nL 104.32038 154.249607 \nL 102.613238 154.374063 \nL 100.816995 154.368888 \nL 98.938443 154.22097 \nL 96.986961 153.916351 \nL 94.974969 153.440545 \nL 92.918381 152.778967 \nL 90.837013 151.917573 \nL 88.754906 150.843637 \nL 86.700511 149.546787 \nL 84.706644 148.020168 \nL 82.810183 146.261797 \nL 81.051387 144.275981 \nL 79.472826 142.074685 \nL 78.117858 139.678721 \nL 77.028722 137.118553 \nL 76.244275 134.434492 \nL 75.797586 131.676164 \nL 75.713554 128.901059 \nL 76.006842 126.172217 \nL 76.680367 123.555126 \nL 77.724569 121.114091 \nL 79.117618 118.908472 \nL 80.826526 116.989159 \nL 82.809092 115.395776 \nL 85.016444 114.15483 \nL 87.395847 113.279037 \nL 89.893545 112.767754 \nL 92.45731 112.608404 \nL 95.038534 112.778607 \nL 97.593745 113.248655 \nL 100.085553 113.984095 \nL 102.483051 114.948117 \nL 104.761777 116.103611 \nL 106.903352 117.414776 \nL 108.894883 118.848274 \nL 110.728257 120.373975 \nL 112.399381 121.965322 \nL 113.907424 123.599429 \nL 115.254123 125.256959 \nL 116.443146 126.921885 \nL 117.479535 128.581148 \nL 118.369238 130.224299 \nL 119.734586 133.431265 \nL 120.591567 136.497636 \nL 120.988561 139.398588 \nL 120.965563 142.121776 \nL 120.551985 144.661428 \nL 119.765943 147.013829 \nL 118.614557 149.173806 \nL 117.095001 151.131653 \nL 115.19625 152.870171 \nL 114.099599 153.649002 \nL 112.901652 154.361562 \nL 111.600063 155.002154 \nL 110.192695 155.56397 \nL 108.677842 156.038973 \nL 107.054498 156.417782 \nL 105.322667 156.689578 \nL 103.483746 156.842035 \nL 101.540951 156.861299 \nL 99.499816 156.732028 \nL 97.368733 156.437543 \nL 95.15955 155.960104 \nL 92.888175 155.281335 \nL 90.575169 154.382904 \nL 88.246262 153.24741 \nL 85.932731 151.859565 \nL 83.671546 150.207662 \nL 81.505164 148.285283 \nL 79.480903 146.093195 \nL 77.649758 143.641283 \nL 76.064618 140.950327 \nL 74.777893 138.053336 \nL 73.838613 134.996182 \nL 73.289219 131.837192 \nL 73.162315 128.645539 \nL 73.477772 125.498328 \nL 74.240567 122.476521 \nL 75.439689 119.660056 \nL 77.048351 117.122679 \nL 79.025502 114.927157 \nL 81.318498 113.121426 \nL 83.866588 111.736203 \nL 86.604747 110.784213 \nL 89.467442 110.261079 \nL 92.391949 110.147476 \nL 95.320939 110.412224 \nL 98.204245 111.01577 \nL 100.999828 111.913671 \nL 103.674022 113.059685 \nL 106.201248 114.408333 \nL 108.563328 115.916779 \nL 110.748577 117.546076 \nL 112.750803 119.261869 \nL 114.568293 121.034633 \nL 116.202859 122.839584 \nL 117.658976 124.656369 \nL 118.943033 126.468619 \nL 120.062691 128.263449 \nL 121.026366 130.030964 \nL 122.52069 133.456403 \nL 123.494203 136.707783 \nL 124.007904 139.769212 \nL 124.11149 142.637367 \nL 123.841521 145.315372 \nL 123.221008 147.808457 \nL 122.259828 150.120784 \nL 120.955638 152.252852 \nL 119.295129 154.199049 \nL 117.255697 155.944984 \nL 114.80776 157.464302 \nL 113.420266 158.126514 \nL 111.918212 158.714719 \nL 110.297783 159.220368 \nL 108.555752 159.633279 \nL 106.689831 159.941481 \nL 104.69908 160.131057 \nL 102.584416 160.186029 \nL 100.349193 160.088309 \nL 97.999895 159.81773 \nL 95.546899 159.352251 \nL 93.005309 158.668327 \nL 90.395817 157.741558 \nL 87.745551 156.547666 \nL 85.088773 155.063856 \nL 82.467368 153.270615 \nL 79.930927 151.153938 \nL 77.536274 148.707949 \nL 75.346262 145.937706 \nL 73.427715 142.861996 \nL 71.848417 139.51569 \nL 70.673254 135.951202 \nL 69.959715 132.238594 \nL 69.753191 128.463851 \nL 70.082605 124.725181 \nL 70.957048 121.127402 \nL 72.363968 117.774953 \nL 74.269311 114.764327 \nL 76.6197 112.176981 \nL 79.346336 110.073724 \nL 82.370123 108.49134 \nL 85.607239 107.441796 \nL 88.974474 106.913918 \nL 92.393722 106.876958 \nL 95.795322 107.285388 \nL 99.12009 108.08409 \nL 102.320186 109.213276 \nL 105.359013 110.612683 \nL 108.210411 112.224805 \nL 110.857444 113.997072 \nL 113.290974 115.883149 \nL 115.508205 117.843425 \nL 117.511312 119.844969 \nL 119.306203 121.861095 \nL 120.901455 123.870717 \nL 122.30743 125.857612 \nL 123.535543 127.809642 \nL 125.505805 131.576822 \nL 126.905842 135.131716 \nL 127.820849 138.461522 \nL 128.322575 141.569564 \nL 128.467271 144.467619 \nL 128.29542 147.171034 \nL 127.83238 149.695597 \nL 127.089403 152.055512 \nL 126.06471 154.261892 \nL 124.744463 156.321397 \nL 123.103624 158.234693 \nL 121.106808 159.994404 \nL 118.709422 161.582258 \nL 115.859539 162.965054 \nL 114.247462 163.563771 \nL 112.501276 164.089132 \nL 110.614365 164.530051 \nL 108.580843 164.873172 \nL 106.396003 165.102584 \nL 104.056907 165.199533 \nL 101.563093 165.142181 \nL 98.917447 164.905444 \nL 96.127238 164.460969 \nL 93.20531 163.777344 \nL 90.171401 162.82061 \nL 87.053552 161.55524 \nL 83.889457 159.945672 \nL 80.72763 157.95855 \nL 77.628155 155.565745 \nL 74.662713 152.748179 \nL 71.913563 149.500274 \nL 69.471179 145.834743 \nL 67.430275 141.787089 \nL 65.884215 137.419057 \nL 64.918046 132.820027 \nL 64.600808 128.105485 \nL 64.978103 123.411905 \nL 66.066147 118.888106 \nL 67.848435 114.683822 \nL 70.275845 110.937004 \nL 73.270355 107.761905 \nL 76.731813 105.239922 \nL 80.546637 103.414559 \nL 84.597009 102.291177 \nL 88.769242 101.840901 \nL 92.960323 102.007665 \nL 97.082214 102.716743 \nL 101.063911 103.883382 \nL 104.85162 105.420374 \nL 108.407596 107.243955 \nL 111.708154 109.277807 \nL 114.741329 111.455394 \nL 117.504499 113.720781 \nL 120.002177 116.02851 \nL 122.244086 118.342754 \nL 124.243556 120.636159 \nL 126.016214 122.888518 \nL 127.578976 125.085496 \nL 130.144371 129.278372 \nL 132.075582 133.176551 \nL 133.496298 136.776513 \nL 134.512639 140.093126 \nL 135.211705 143.149766 \nL 135.662348 145.972686 \nL 135.983398 149.825379 \nL 135.980197 153.290397 \nL 135.717348 156.435639 \nL 135.216827 159.317209 \nL 134.4661 161.981303 \nL 133.806403 163.655695 \nL 132.996276 165.2601 \nL 132.008508 166.802601 \nL 130.808399 168.289443 \nL 129.352668 169.724287 \nL 127.588128 171.106848 \nL 125.450263 172.430654 \nL 122.861934 173.679445 \nL 119.732712 174.82157 \nL 115.959743 175.801483 \nL 113.797207 176.203742 \nL 111.431811 176.527241 \nL 108.849989 176.751921 \nL 106.039453 176.852956 \nL 102.990186 176.799944 \nL 99.695763 176.556082 \nL 96.155083 176.077432 \nL 92.374548 175.312388 \nL 88.370734 174.20159 \nL 84.173547 172.678549 \nL 79.829729 170.671378 \nL 75.40646 168.10611 \nL 70.994583 164.912065 \nL 66.710731 161.029673 \nL 62.697337 156.42084 \nL 59.119361 151.081375 \nL 56.156669 145.054112 \nL 53.991375 138.440296 \nL 52.790549 131.405956 \nL 52.686151 124.179654 \nL 53.755529 117.039089 \nL 56.006802 110.286368 \nL 59.373179 104.215223 \nL 63.718395 99.076396 \nL 68.852535 95.048908 \nL 74.55475 92.223434 \nL 80.597756 90.600617 \nL 86.769241 90.102947 \nL 92.88697 90.595596 \nL 98.806619 91.910573 \nL 104.423187 93.869126 \nL 109.667835 96.299324 \nL 114.502233 99.047616 \nL 118.912063 101.984799 \nL 122.900802 105.007555 \nL 126.484373 108.037047 \nL 129.686874 111.015832 \nL 132.537307 113.904135 \nL 135.067206 116.676114 \nL 139.294596 121.81763 \nL 142.620004 126.3974 \nL 145.271057 130.434611 \nL 151.806796 140.936089 \nL 153.438471 143.06317 \nL 155.145883 144.846375 \nL 157.004207 146.291195 \nL 159.079828 147.390926 \nL 160.218019 147.80586 \nL 161.432465 148.126289 \nL 162.729685 148.347789 \nL 164.115752 148.465118 \nL 165.596192 148.472246 \nL 167.17584 148.362376 \nL 168.858653 148.128026 \nL 170.647447 147.76112 \nL 172.543588 147.253154 \nL 174.546608 146.595423 \nL 176.65374 145.779337 \nL 178.859398 144.796837 \nL 181.15459 143.640949 \nL 183.526271 142.306463 \nL 185.956694 140.790772 \nL 188.42279 139.094839 \nL 190.895614 137.224314 \nL 193.339979 135.190683 \nL 195.714372 133.012425 \nL 197.971241 130.716021 \nL 200.057807 128.336627 \nL 201.917476 125.918271 \nL 203.491955 123.513287 \nL 204.724016 121.180878 \nL 205.560846 118.984651 \nL 205.957717 116.989181 \nL 205.881679 115.255815 \nL 205.31481 113.838096 \nL 204.25655 112.77737 \nL 202.724773 112.099255 \nL 200.755289 111.811487 \nL 198.399785 111.903572 \nL 195.722428 112.34833 \nL 192.795546 113.105051 \nL 189.694946 114.123798 \nL 186.495434 115.350105 \nL 180.071947 118.211137 \nL 173.983093 121.311385 \nL 168.52954 124.39154 \nL 163.863192 127.314804 \nL 160.022503 130.036052 \nL 156.972935 132.562606 \nL 154.641067 134.922692 \nL 152.938932 137.145944 \nL 151.77946 139.254186 \nL 151.085246 141.258763 \nL 150.792839 143.161241 \nL 150.854256 144.95525 \nL 151.236942 146.628338 \nL 151.922947 148.163214 \nL 152.907798 149.538265 \nL 154.199302 150.727328 \nL 155.816336 151.698808 \nL 157.787529 152.414276 \nL 160.149577 152.826599 \nL 162.944749 152.877921 \nL 166.21689 152.49782 \nL 170.004942 151.602433 \nL 172.100842 150.93189 \nL 174.332691 150.095863 \nL 176.698554 149.081448 \nL 179.193255 147.876127 \nL 181.807533 146.468428 \nL 184.527097 144.848836 \nL 187.331624 143.010899 \nL 190.193741 140.952634 \nL 193.078114 138.678122 \nL 195.940715 136.199306 \nL 198.72849 133.537821 \nL 201.379556 130.726673 \nL 203.824211 127.811485 \nL 205.986877 124.850979 \nL 207.789179 121.91629 \nL 209.154116 119.088779 \nL 210.011206 116.456158 \nL 210.302156 114.106923 \nL 209.986516 112.123535 \nL 209.046462 110.575103 \nL 207.489951 109.510619 \nL 205.351583 108.953919 \nL 202.690814 108.901362 \nL 199.587682 109.32273 \nL 196.136632 110.165275 \nL 192.439323 111.360068 \nL 188.597472 112.829618 \nL 184.706626 114.495362 \nL 177.102913 118.132219 \nL 170.134749 121.815712 \nL 164.080845 125.287835 \nL 159.034532 128.45629 \nL 154.966317 131.330669 \nL 151.779607 133.964729 \nL 149.350523 136.419139 \nL 147.552545 138.743403 \nL 146.269969 140.970532 \nL 145.404073 143.118209 \nL 144.87497 145.192466 \nL 144.621096 147.191565 \nL 144.597588 149.109095 \nL 144.774314 150.936127 \nL 145.13396 152.662373 \nL 145.670438 154.276638 \nL 146.387685 155.766651 \nL 147.298901 157.118464 \nL 148.426189 158.315442 \nL 149.800547 159.336897 \nL 151.462102 160.156299 \nL 153.460441 160.739007 \nL 155.854754 161.039427 \nL 158.713365 160.997582 \nL 162.11192 160.535143 \nL 166.129039 159.551424 \nL 168.392931 158.825723 \nL 170.837617 157.920429 \nL 173.468747 156.815908 \nL 176.289105 155.491401 \nL 179.297494 153.925577 \nL 182.487383 152.097387 \nL 185.845294 149.987327 \nL 189.348994 147.579176 \nL 192.965508 144.862283 \nL 196.64913 141.834438 \nL 200.33962 138.505294 \nL 203.960911 134.900139 \nL 207.420731 131.063669 \nL 210.611681 127.063211 \nL 213.414234 122.990556 \nL 215.702128 118.961428 \nL 217.350268 115.111651 \nL 218.244888 111.589319 \nL 218.295056 108.542974 \nL 217.443977 106.106832 \nL 215.678122 104.385075 \nL 213.032126 103.438304 \nL 209.588056 103.275106 \nL 205.468672 103.850948 \nL 200.82566 105.075017 \nL 195.82504 106.8234 \nL 190.632347 108.955722 \nL 185.399984 111.331711 \nL 175.310978 116.330713 \nL 166.277334 121.096474 \nL 155.324465 127.169701 \nL 149.738391 130.501898 \nL 145.338516 133.405927 \nL 141.914229 136.020727 \nL 139.256808 138.455963 \nL 137.178102 140.784756 \nL 135.516976 143.04891 \nL 134.139328 145.267729 \nL 131.813498 149.581928 \nL 129.527244 153.696489 \nL 128.239104 155.658894 \nL 126.779508 157.545847 \nL 125.093337 159.346165 \nL 123.123351 161.044876 \nL 120.808586 162.620383 \nL 118.083757 164.040411 \nL 114.880193 165.256493 \nL 113.077255 165.766713 \nL 111.129197 166.196617 \nL 109.028613 166.531995 \nL 106.769309 166.755913 \nL 104.346903 166.848365 \nL 101.759576 166.785955 \nL 99.009 166.541666 \nL 96.101472 166.084756 \nL 93.049223 165.380902 \nL 89.871919 164.39268 \nL 86.598249 163.080534 \nL 83.267528 161.404396 \nL 79.931109 159.326112 \nL 76.653352 156.812789 \nL 73.511823 153.841098 \nL 70.596301 150.40238 \nL 68.006216 146.508243 \nL 65.846226 142.195889 \nL 64.219834 137.532272 \nL 63.221368 132.615903 \nL 62.927055 127.575161 \nL 63.386403 122.562358 \nL 64.61535 117.743545 \nL 66.59262 113.285034 \nL 69.260159 109.338593 \nL 72.527891 106.027674 \nL 76.281952 103.437189 \nL 80.395008 101.608419 \nL 84.736891 100.539516 \nL 89.183963 100.190941 \nL 93.626154 100.49418 \nL 97.971263 101.361902 \nL 102.146681 102.697858 \nL 106.099037 104.40524 \nL 109.792448 106.392904 \nL 113.205994 108.579387 \nL 116.330952 110.894975 \nL 119.168082 113.282155 \nL 121.725204 115.695103 \nL 124.015143 118.098474 \nL 126.054052 120.465919 \nL 127.860085 122.77854 \nL 129.452378 125.023421 \nL 132.072841 129.280661 \nL 134.064028 133.209633 \nL 135.559395 136.81497 \nL 136.672832 140.117478 \nL 137.498075 143.144565 \nL 138.355312 147.231275 \nL 139.06251 151.969069 \nL 140.585952 164.078682 \nL 141.229443 166.581291 \nL 141.886857 168.214398 \nL 142.759031 169.63362 \nL 143.497921 170.453208 \nL 144.396921 171.16174 \nL 145.492743 171.746199 \nL 146.830335 172.187979 \nL 148.464581 172.460944 \nL 150.462127 172.528723 \nL 152.903176 172.340993 \nL 155.88283 171.828489 \nL 159.511211 170.8965 \nL 163.910876 169.416996 \nL 169.208918 167.220223 \nL 172.231761 165.786764 \nL 175.519396 164.088582 \nL 179.078516 162.091375 \nL 182.909475 159.759196 \nL 187.003737 157.055986 \nL 191.340752 153.947987 \nL 195.884324 150.407247 \nL 200.578584 146.416446 \nL 205.34394 141.975114 \nL 210.073482 137.107147 \nL 214.630768 131.869035 \nL 218.850089 126.357767 \nL 222.540553 120.716551 \nL 225.495249 115.135887 \nL 227.506314 109.847315 \nL 228.385427 105.107601 \nL 227.987803 101.172949 \nL 226.235633 98.265888 \nL 223.13573 96.540749 \nL 218.786134 96.056346 \nL 213.368598 96.763934 \nL 207.127489 98.515019 \nL 200.339755 101.087378 \nL 193.282881 104.222127 \nL 186.207653 107.66186 \nL 172.773901 114.604873 \nL 155.987332 123.358133 \nL 133.050898 134.9931 \nL 129.384034 137.156976 \nL 126.447092 139.147071 \nL 124.006138 141.039889 \nL 119.887566 144.6292 \nL 116.936832 147.11293 \nL 114.849979 148.617525 \nL 112.583592 149.954685 \nL 110.08415 151.075464 \nL 107.314205 151.921455 \nL 104.254752 152.423093 \nL 102.616724 152.519715 \nL 100.910157 152.498672 \nL 99.140477 152.348013 \nL 97.315618 152.055342 \nL 95.446342 151.608119 \nL 93.546557 150.994027 \nL 91.633579 150.201517 \nL 89.728327 149.220467 \nL 87.855389 148.043008 \nL 86.042926 146.664458 \nL 84.322334 145.084371 \nL 82.727653 143.307628 \nL 81.294651 141.345442 \nL 80.059588 139.216231 \nL 79.057693 136.946173 \nL 78.3214 134.569304 \nL 77.878461 132.127065 \nL 77.750104 129.667186 \nL 77.949412 127.241919 \nL 78.480095 124.905687 \nL 79.335845 122.712345 \nL 80.500368 120.712292 \nL 81.948094 118.949699 \nL 83.645535 117.460237 \nL 85.553141 116.269446 \nL 87.627429 115.391936 \nL 89.823195 114.831432 \nL 92.095605 114.581613 \nL 94.401987 114.627501 \nL 96.703232 114.947309 \nL 98.964763 115.514352 \nL 101.157085 116.299014 \nL 103.255955 117.270437 \nL 105.242254 118.398005 \nL 107.10165 119.652432 \nL 108.824103 121.006561 \nL 110.403295 122.435845 \nL 111.836038 123.918582 \nL 113.121691 125.435958 \nL 114.261614 126.971949 \nL 115.25867 128.513117 \nL 116.840632 131.56863 \nL 117.905629 134.536578 \nL 118.494187 137.37504 \nL 118.643283 140.05821 \nL 118.382829 142.569972 \nL 117.733979 144.898797 \nL 116.708781 147.033646 \nL 115.310865 148.960529 \nL 113.537025 150.659385 \nL 112.506871 151.414619 \nL 111.379787 152.101022 \nL 110.154784 152.713014 \nL 108.831168 153.244077 \nL 107.40874 153.68665 \nL 105.888051 154.032069 \nL 104.270695 154.270515 \nL 102.559632 154.390999 \nL 100.759571 154.381397 \nL 98.877377 154.228553 \nL 96.922517 153.918474 \nL 94.90752 153.436637 \nL 92.848425 152.768448 \nL 90.765193 151.89986 \nL 88.68202 150.818188 \nL 86.627526 149.513126 \nL 84.634696 147.977935 \nL 82.740564 146.210792 \nL 80.985538 144.216225 \nL 79.412284 142.00647 \nL 78.064214 139.602657 \nL 76.983541 137.035593 \nL 76.209036 134.345955 \nL 75.773577 131.583708 \nL 75.701799 128.806642 \nL 76.008016 126.078013 \nL 76.694743 123.463417 \nL 77.751994 121.027147 \nL 79.157507 118.828407 \nL 80.877906 116.917824 \nL 82.870668 115.334653 \nL 85.08667 114.104961 \nL 87.473032 113.241003 \nL 89.975945 112.741686 \nL 92.543207 112.594035 \nL 95.126312 112.775338 \nL 97.681939 113.255629 \nL 100.172884 114.00028 \nL 102.56844 114.972389 \nL 104.844352 116.13482 \nL 106.982429 117.451791 \nL 108.969959 118.890033 \nL 110.798986 120.419503 \nL 112.465547 122.013751 \nL 113.968926 123.649997 \nL 115.31095 125.309014 \nL 116.495358 126.974878 \nL 117.527244 128.634623 \nL 118.412593 130.277879 \nL 119.769765 133.484215 \nL 120.61933 136.549195 \nL 121.009631 139.448322 \nL 120.980554 142.169462 \nL 120.561364 144.706959 \nL 119.770009 147.057159 \nL 118.613442 149.214898 \nL 117.088674 151.170424 \nL 115.184533 152.906452 \nL 114.085082 153.683937 \nL 112.884248 154.395056 \nL 111.579677 155.034087 \nL 110.169229 155.594193 \nL 108.651199 156.067302 \nL 107.024584 156.443996 \nL 105.289407 156.713413 \nL 103.447087 156.863186 \nL 101.500876 156.879408 \nL 99.456355 156.746692 \nL 97.321984 156.448309 \nL 95.109688 155.966467 \nL 92.835474 155.282759 \nL 90.520022 154.378825 \nL 88.189194 153.237264 \nL 85.874423 151.842814 \nL 83.612833 150.183821 \nL 81.447051 148.253976 \nL 79.424547 146.054204 \nL 77.59645 143.594597 \nL 76.015743 140.896198 \nL 74.734882 137.992334 \nL 73.802859 134.929206 \nL 73.262008 131.765488 \nL 73.144737 128.570663 \nL 73.470639 125.42209 \nL 74.244346 122.400896 \nL 75.454468 119.587065 \nL 77.073826 117.05426 \nL 79.061 114.86504 \nL 81.363037 113.067041 \nL 83.918939 111.690591 \nL 86.663528 110.74801 \nL 89.531211 110.234517 \nL 92.459272 110.130415 \nL 95.390461 110.404217 \nL 98.27474 111.016136 \nL 101.070226 111.921573 \nL 103.743428 113.074197 \nL 106.268936 114.428511 \nL 108.628737 115.941688 \nL 110.811296 117.57485 \nL 112.810554 119.293718 \nL 114.624909 121.068858 \nL 116.256266 122.875576 \nL 117.709173 124.693609 \nL 118.990077 126.506673 \nL 120.106686 128.301965 \nL 121.067444 130.069654 \nL 122.556415 133.494806 \nL 123.525261 136.745349 \nL 124.034972 139.805652 \nL 124.13518 142.672568 \nL 123.862349 145.349328 \nL 123.239383 147.84124 \nL 122.276045 150.152511 \nL 120.969876 152.283655 \nL 119.307454 154.229072 \nL 117.266055 155.974365 \nL 114.81598 157.493141 \nL 113.427315 158.155109 \nL 111.924003 158.743081 \nL 110.302212 159.248489 \nL 108.558702 159.661144 \nL 106.69117 159.969054 \nL 104.698665 160.158279 \nL 102.582093 160.212817 \nL 100.344807 160.114548 \nL 97.993289 159.843272 \nL 95.53792 159.376898 \nL 92.993822 158.691834 \nL 90.381716 157.763631 \nL 87.728768 156.567953 \nL 85.069302 155.081952 \nL 82.445277 153.286068 \nL 79.906376 151.166269 \nL 77.509533 148.71666 \nL 75.317732 145.942312 \nL 73.397926 142.862061 \nL 71.818023 139.510871 \nL 70.643022 135.941297 \nL 69.930504 132.223581 \nL 69.725896 128.443928 \nL 70.058114 124.700766 \nL 70.936184 121.099152 \nL 72.347425 117.743714 \nL 74.257622 114.731083 \nL 76.613198 112.142787 \nL 79.345146 110.039636 \nL 82.374175 108.458333 \nL 85.616288 107.410725 \nL 88.98814 106.885456 \nL 92.411529 106.851584 \nL 95.816736 107.263388 \nL 99.144564 108.065579 \nL 102.347185 109.198225 \nL 105.388039 110.600946 \nL 108.24102 112.21616 \nL 110.889245 113.991251 \nL 113.323638 115.87985 \nL 115.541464 117.842343 \nL 117.544952 119.845806 \nL 119.340063 121.863571 \nL 120.935422 123.874581 \nL 122.341428 125.862635 \nL 123.569533 127.815624 \nL 125.539775 131.584222 \nL 126.939939 135.140019 \nL 127.855355 138.470382 \nL 128.357867 141.578754 \nL 128.503798 144.477014 \nL 128.333692 147.180585 \nL 127.872958 149.705331 \nL 127.1329 152.065527 \nL 126.111793 154.272375 \nL 124.795852 156.332638 \nL 123.160088 158.24711 \nL 121.169152 160.008594 \nL 118.778452 161.599057 \nL 115.936002 162.985621 \nL 114.327876 163.586786 \nL 112.585754 164.115053 \nL 110.702969 164.559404 \nL 108.673571 164.906567 \nL 106.492767 165.140709 \nL 104.157506 165.243164 \nL 101.667185 165.192176 \nL 99.024515 164.962742 \nL 96.236552 164.526575 \nL 93.31589 163.852293 \nL 90.28198 162.905932 \nL 87.162534 161.6519 \nL 83.994893 160.054475 \nL 80.827218 158.080041 \nL 77.719254 155.70008 \nL 74.742402 152.894971 \nL 71.978748 149.658448 \nL 69.518749 146.002399 \nL 67.45731 141.961421 \nL 65.888243 137.596334 \nL 64.897298 132.995696 \nL 64.554475 128.27439 \nL 64.906517 123.568642 \nL 65.970859 119.027435 \nL 67.732164 114.801148 \nL 70.142299 111.028787 \nL 73.123937 107.825979 \nL 76.577269 105.275617 \nL 80.388694 103.422675 \nL 84.440059 102.273751 \nL 88.617107 101.800923 \nL 92.81612 101.948689 \nL 96.948303 102.642545 \nL 100.941929 103.797672 \nL 104.742555 105.326569 \nL 108.311886 107.145045 \nL 111.62581 109.176299 \nL 114.672037 111.353291 \nL 117.447713 113.619625 \nL 119.957203 115.92943 \nL 122.210146 118.246539 \nL 124.219833 120.543319 \nL 126.001896 122.799341 \nL 127.573276 125.000102 \nL 130.153752 129.200454 \nL 132.0976 133.105522 \nL 133.529089 136.711525 \nL 134.554917 140.033259 \nL 135.262733 143.094125 \nL 135.721897 145.920427 \nL 136.056313 149.776761 \nL 136.068499 153.243908 \nL 135.824544 156.389925 \nL 135.348071 159.271032 \nL 134.628525 161.933548 \nL 133.994788 163.606357 \nL 133.215806 165.208881 \nL 132.265463 166.749398 \nL 131.110362 168.234493 \nL 129.708759 169.668396 \nL 128.009252 171.051747 \nL 125.949333 172.379557 \nL 123.454014 173.637905 \nL 120.434949 174.798768 \nL 116.790854 175.812125 \nL 112.410743 176.594231 \nL 109.909291 176.859195 \nL 107.182542 177.010991 \nL 104.219298 177.021368 \nL 101.011395 176.855943 \nL 97.555277 176.473397 \nL 93.854006 175.824839 \nL 89.919767 174.853498 \nL 85.776872 173.495014 \nL 81.465185 171.678689 \nL 77.043787 169.330137 \nL 72.594461 166.375831 \nL 68.224407 162.750006 \nL 64.067236 158.404162 \nL 60.281125 153.318942 \nL 57.042929 147.517394 \nL 54.537379 141.077574 \nL 52.941265 134.141423 \nL 52.403861 126.916289 \nL 53.026432 119.665877 \nL 54.845015 112.689396 \nL 57.820796 106.290838 \nL 61.84128 100.743678 \nL 66.73264 96.258597 \nL 72.280688 92.961474 \nL 78.255672 90.885941 \nL 84.435616 89.98074 \nL 90.624224 90.128145 \nL 96.661503 91.167896 \nL 102.42735 92.921047 \nL 107.839797 95.209784 \nL 112.849948 97.871401 \nL 117.435528 100.766281 \nL 121.594389 103.780865 \nL 125.338744 106.827136 \nL 128.690441 109.839962 \nL 131.67732 112.773424 \nL 134.330508 115.597 \nL 136.6825 118.291971 \nL 140.61213 123.262339 \nL 143.712836 127.667883 \nL 147.280998 133.289599 \nL 150.922174 139.190553 \nL 152.565383 141.550104 \nL 154.228019 143.552725 \nL 155.993305 145.211835 \nL 157.933354 146.528797 \nL 160.1121 147.492587 \nL 161.309149 147.835129 \nL 162.586883 148.079467 \nL 163.95142 148.220622 \nL 165.408341 148.252823 \nL 166.962552 148.16954 \nL 168.618104 147.963547 \nL 170.377952 147.627026 \nL 172.24366 147.151714 \nL 174.215034 146.529111 \nL 176.289683 145.750785 \nL 178.462514 144.808769 \nL 180.725169 143.69607 \nL 183.065404 142.407324 \nL 185.466454 140.939598 \nL 187.906412 139.293309 \nL 190.357692 137.473291 \nL 192.786633 135.489927 \nL 195.153367 133.360268 \nL 197.412045 131.109043 \nL 199.511531 128.769405 \nL 201.396703 126.38317 \nL 203.010383 124.000426 \nL 204.295941 121.67828 \nL 205.200471 119.478623 \nL 205.678347 117.464951 \nL 205.694843 115.698379 \nL 205.229399 114.233219 \nL 204.27811 113.112652 \nL 202.855024 112.365056 \nL 200.991952 112.001638 \nL 198.736764 112.01573 \nL 196.150301 112.38392 \nL 193.302314 113.068847 \nL 190.266933 114.023202 \nL 187.118217 115.19424 \nL 183.926265 116.528284 \nL 177.656207 119.487815 \nL 171.849323 122.572827 \nL 166.742723 125.576674 \nL 162.439285 128.403144 \nL 158.945902 131.030781 \nL 156.211457 133.476492 \nL 154.156672 135.769197 \nL 152.694497 137.934943 \nL 151.742584 139.990681 \nL 151.230068 141.943132 \nL 151.10064 143.790033 \nL 151.313394 145.521995 \nL 151.842444 147.124062 \nL 152.675985 148.576628 \nL 153.81512 149.855608 \nL 155.27265 150.931913 \nL 157.07177 151.770327 \nL 159.244541 152.327902 \nL 161.829748 152.552043 \nL 164.869605 152.378617 \nL 168.404481 151.730643 \nL 170.367677 151.201151 \nL 172.464487 150.518616 \nL 174.694959 149.670496 \nL 177.056576 148.644237 \nL 179.543513 147.427781 \nL 182.145796 146.010255 \nL 184.848376 144.382875 \nL 187.630158 142.540078 \nL 190.463016 140.480911 \nL 193.310947 138.210617 \nL 196.129417 135.742379 \nL 198.865104 133.099074 \nL 201.456235 130.314838 \nL 203.833677 127.436174 \nL 205.922995 124.522261 \nL 207.647595 121.644083 \nL 208.932903 118.882074 \nL 209.71143 116.322155 \nL 209.928311 114.050159 \nL 209.546655 112.145172 \nL 208.552032 110.672472 \nL 206.955266 109.677172 \nL 204.792955 109.179653 \nL 202.125484 109.17366 \nL 199.032665 109.627499 \nL 195.607626 110.488206 \nL 191.949844 111.687823 \nL 188.158289 113.150769 \nL 184.325522 114.800956 \nL 176.849931 118.390434 \nL 170.010469 122.020104 \nL 164.073979 125.443854 \nL 159.128734 128.574096 \nL 155.144864 131.420218 \nL 152.027975 134.033518 \nL 149.65748 136.471703 \nL 147.910402 138.781711 \nL 146.674421 140.994587 \nL 145.8539 143.126648 \nL 145.37173 145.182961 \nL 145.168885 147.161012 \nL 145.2029 149.053679 \nL 145.446 150.851221 \nL 145.883303 152.542337 \nL 146.511325 154.114491 \nL 147.336872 155.553632 \nL 148.37635 156.843452 \nL 149.655447 157.964207 \nL 151.209116 158.891126 \nL 153.081714 159.592373 \nL 155.327065 160.026469 \nL 158.008079 160.13917 \nL 161.195321 159.859827 \nL 164.963514 159.097593 \nL 167.088325 158.500666 \nL 169.384474 157.738284 \nL 171.858371 156.792427 \nL 174.51417 155.643842 \nL 177.352831 154.27244 \nL 180.370965 152.657946 \nL 183.55946 150.780874 \nL 186.901875 148.623881 \nL 190.372665 146.173628 \nL 193.935311 143.423148 \nL 197.540499 140.374747 \nL 201.124601 137.043348 \nL 204.608781 133.460066 \nL 207.899141 129.67556 \nL 210.888365 125.762627 \nL 213.459372 121.817154 \nL 215.491219 117.956565 \nL 216.86731 114.314945 \nL 217.485443 111.034422 \nL 217.268666 108.253082 \nL 216.175328 106.090736 \nL 214.206514 104.63469 \nL 211.409071 103.928388 \nL 207.873199 103.965523 \nL 203.724674 104.691207 \nL 199.112941 106.010126 \nL 194.197227 107.799944 \nL 189.133089 109.926932 \nL 184.061417 112.260818 \nL 174.345213 117.110363 \nL 165.693006 121.704411 \nL 158.380766 125.76175 \nL 152.424569 129.25844 \nL 147.695199 132.295995 \nL 144.001668 135.007002 \nL 141.14101 137.506949 \nL 138.923685 139.878366 \nL 137.184146 142.171867 \nL 135.783229 144.413529 \nL 134.071993 147.697468 \nL 131.037901 153.949511 \nL 129.297596 156.87694 \nL 127.935189 158.740266 \nL 126.35119 160.523957 \nL 124.490787 162.21697 \nL 122.294135 163.802496 \nL 119.695435 165.254247 \nL 116.623223 166.531259 \nL 113.002703 167.570762 \nL 110.963843 167.973601 \nL 108.761445 168.278765 \nL 106.388651 168.467708 \nL 103.840585 168.518409 \nL 101.115201 168.404988 \nL 98.214371 168.097429 \nL 95.145165 167.56146 \nL 91.921389 166.758705 \nL 88.565308 165.647252 \nL 85.109498 164.182819 \nL 81.598692 162.320692 \nL 78.091375 160.018623 \nL 74.660831 157.240875 \nL 71.395192 153.963371 \nL 68.396036 150.179804 \nL 65.775024 145.90814 \nL 63.648283 141.196709 \nL 62.128529 136.128534 \nL 61.315371 130.822557 \nL 61.284913 125.430351 \nL 62.080212 120.127695 \nL 63.704391 115.101285 \nL 66.118018 110.532139 \nL 69.241579 106.578421 \nL 72.962768 103.360702 \nL 77.147358 100.952335 \nL 81.651595 99.376407 \nL 86.334036 98.609143 \nL 91.065184 98.588405 \nL 95.733976 99.224993 \nL 100.251061 100.414583 \nL 104.549288 102.048423 \nL 108.582205 104.021685 \nL 112.321374 106.239191 \nL 115.753181 108.618594 \nL 118.875635 111.091523 \nL 121.695444 113.603277 \nL 124.225525 116.111581 \nL 126.482966 118.584913 \nL 128.487415 121.00068 \nL 130.259855 123.343465 \nL 133.194062 127.775074 \nL 135.451167 131.845978 \nL 137.181204 135.560613 \nL 138.513378 138.941849 \nL 139.995551 143.454466 \nL 143.616709 155.626746 \nL 144.355607 157.25546 \nL 145.204258 158.723918 \nL 146.196414 160.030131 \nL 147.369304 161.166776 \nL 148.765293 162.120278 \nL 150.433448 162.869408 \nL 152.430946 163.383292 \nL 154.824161 163.618699 \nL 157.689055 163.516515 \nL 161.110193 162.99743 \nL 165.177212 161.957188 \nL 167.480484 161.201169 \nL 169.976793 160.262448 \nL 172.673989 159.119609 \nL 175.577223 157.74964 \nL 178.687766 156.128435 \nL 182.001538 154.231617 \nL 185.507359 152.035789 \nL 189.18488 149.520341 \nL 193.002298 146.669902 \nL 196.913944 143.477513 \nL 200.857994 139.948509 \nL 204.754611 136.104979 \nL 208.505052 131.99042 \nL 211.992282 127.673995 \nL 215.083831 123.253372 \nL 217.637418 118.855038 \nL 219.509736 114.630713 \nL 220.568144 110.748914 \nL 220.704338 107.381401 \nL 219.848199 104.685546 \nL 217.979273 102.785065 \nL 215.133364 101.752957 \nL 211.402174 101.600486 \nL 206.925414 102.275456 \nL 201.876653 103.670378 \nL 196.445553 105.638829 \nL 190.819984 108.01604 \nL 185.171001 110.639175 \nL 174.346933 116.07275 \nL 160.510111 123.416034 \nL 150.131444 129.167464 \nL 144.955724 132.266248 \nL 140.911863 134.976548 \nL 137.76023 137.444326 \nL 135.281021 139.77108 \nL 133.284266 142.017366 \nL 131.610943 144.213018 \nL 128.733057 148.47843 \nL 126.601941 151.54127 \nL 125.047821 153.494169 \nL 123.309116 155.356237 \nL 121.323298 157.106425 \nL 119.029149 158.717496 \nL 116.3659 160.152511 \nL 113.274116 161.360048 \nL 111.550079 161.857019 \nL 109.69908 162.268151 \nL 107.71616 162.580064 \nL 105.597802 162.777177 \nL 103.34245 162.841502 \nL 100.951161 162.752477 \nL 98.428371 162.486928 \nL 95.782801 162.019138 \nL 93.028467 161.321157 \nL 90.185769 160.363416 \nL 87.282606 159.115724 \nL 84.355391 157.548748 \nL 81.449843 155.636094 \nL 78.621358 153.356959 \nL 75.934732 150.699366 \nL 73.462969 147.663829 \nL 71.28498 144.267079 \nL 69.482034 140.545434 \nL 68.132979 136.557134 \nL 67.308512 132.382924 \nL 67.065025 128.124291 \nL 67.438829 123.898926 \nL 68.441593 119.833579 \nL 70.057927 116.054863 \nL 72.245586 112.679287 \nL 74.938449 109.803898 \nL 78.051836 107.499045 \nL 81.489342 105.804326 \nL 85.150154 104.728039 \nL 88.935824 104.249978 \nL 92.75577 104.32667 \nL 96.531072 104.897954 \nL 100.196543 105.893848 \nL 103.701276 107.240744 \nL 107.008034 108.866468 \nL 110.091868 110.703918 \nL 112.938353 112.693329 \nL 115.541671 114.783367 \nL 117.902786 116.931316 \nL 120.027774 119.102667 \nL 121.926397 121.270307 \nL 123.610909 123.413545 \nL 125.095095 125.517091 \nL 126.393506 127.57008 \nL 128.491701 131.497905 \nL 130.018502 135.168212 \nL 131.074696 138.579066 \nL 131.744743 141.743101 \nL 132.095683 144.679945 \nL 132.177715 147.411685 \nL 132.025561 149.960311 \nL 131.660056 152.346308 \nL 131.089625 154.587861 \nL 130.311463 156.700407 \nL 129.312343 158.69624 \nL 128.069029 160.583969 \nL 126.548374 162.367641 \nL 124.707181 164.045289 \nL 122.492074 165.606632 \nL 119.839691 167.029518 \nL 116.677832 168.274635 \nL 114.881562 168.811747 \nL 112.92853 169.277948 \nL 110.809165 169.659681 \nL 108.514666 169.940394 \nL 106.037585 170.100079 \nL 103.372588 170.114811 \nL 100.517425 169.956312 \nL 97.474147 169.591612 \nL 94.250588 168.982906 \nL 90.862113 168.087722 \nL 87.333596 166.859578 \nL 83.701551 165.249329 \nL 80.016235 163.207464 \nL 76.343451 160.687523 \nL 72.765664 157.650889 \nL 69.381889 154.072859 \nL 66.305802 149.949811 \nL 63.661499 145.306728 \nL 61.576553 140.203985 \nL 60.172479 134.741805 \nL 59.553301 129.060648 \nL 59.793664 123.336054 \nL 60.928494 117.767339 \nL 62.946384 112.560896 \nL 65.788373 107.910498 \nL 69.352778 103.977953 \nL 73.505297 100.877876 \nL 78.092477 98.66925 \nL 82.955984 97.354976 \nL 87.94533 96.888503 \nL 92.927354 97.185406 \nL 97.791896 98.137117 \nL 102.45383 99.624216 \nL 106.852293 101.527558 \nL 110.948082 103.736356 \nL 114.720125 106.153137 \nL 118.161754 108.695983 \nL 121.27719 111.298777 \nL 124.078506 113.910132 \nL 126.583116 116.491547 \nL 128.811804 119.015316 \nL 130.787213 121.462438 \nL 134.071616 126.083122 \nL 136.619141 130.310278 \nL 138.597173 134.146492 \nL 140.151085 137.616123 \nL 141.948079 142.20441 \nL 144.707422 149.539545 \nL 146.099858 152.436368 \nL 147.146458 154.109555 \nL 148.339739 155.578181 \nL 149.725271 156.835864 \nL 151.351809 157.868143 \nL 153.272994 158.651073 \nL 155.548556 159.149246 \nL 158.244716 159.313217 \nL 161.433285 159.076407 \nL 165.188516 158.35181 \nL 167.300931 157.773144 \nL 169.580282 157.029426 \nL 172.032552 156.103304 \nL 174.661423 154.976287 \nL 177.467358 153.629154 \nL 180.446487 152.042611 \nL 183.589277 150.198249 \nL 186.87899 148.079898 \nL 190.290004 145.675423 \nL 193.786029 142.979017 \nL 197.318426 139.993982 \nL 200.82481 136.735909 \nL 204.228279 133.236024 \nL 207.437648 129.544328 \nL 210.349153 125.731916 \nL 212.849999 121.891766 \nL 214.824072 118.137111 \nL 216.159771 114.596696 \nL 216.759532 111.406552 \nL 216.550038 108.698599 \nL 215.491687 106.587224 \nL 213.585517 105.15601 \nL 210.876065 104.447108 \nL 207.44913 104.455634 \nL 203.424538 105.130724 \nL 198.945014 106.382982 \nL 194.163144 108.096886 \nL 189.22867 110.145432 \nL 184.277974 112.404061 \nL 174.767123 117.127869 \nL 166.266931 121.638975 \nL 159.059834 125.652393 \nL 153.174147 129.132543 \nL 148.493091 132.169221 \nL 144.836044 134.886431 \nL 142.007968 137.39445 \nL 139.825216 139.773182 \nL 138.126663 142.072232 \nL 136.776622 144.317573 \nL 135.166631 147.604313 \nL 131.491546 155.834156 \nL 130.409334 157.743822 \nL 129.167329 159.58566 \nL 127.717965 161.354802 \nL 126.00973 163.044077 \nL 123.985362 164.641784 \nL 121.580579 166.128498 \nL 118.723661 167.472532 \nL 115.336538 168.623547 \nL 113.418854 169.103728 \nL 111.338518 169.50374 \nL 109.086376 169.80767 \nL 106.6545 169.996305 \nL 104.036901 170.046662 \nL 101.230447 169.931537 \nL 98.235993 169.61915 \nL 95.0598 169.072937 \nL 91.715203 168.251637 \nL 88.22453 167.109806 \nL 84.621189 165.598985 \nL 80.951781 163.669726 \nL 77.278 161.27472 \nL 73.677918 158.373203 \nL 70.246239 154.936715 \nL 67.092878 150.95599 \nL 64.339347 146.44842 \nL 62.112526 141.46509 \nL 60.535768 136.095927 \nL 59.717912 130.471195 \nL 59.741411 124.75782 \nL 60.651499 119.14964 \nL 62.448524 113.851991 \nL 65.085324 109.062594 \nL 68.470533 104.951943 \nL 72.477461 101.646825 \nL 76.956849 99.220129 \nL 81.751087 97.688417 \nL 86.707405 97.016897 \nL 91.688218 97.129907 \nL 96.577713 97.924277 \nL 101.284752 99.282834 \nL 105.742717 101.086107 \nL 109.907307 103.221159 \nL 113.753205 105.587288 \nL 117.270372 108.098882 \nL 120.460475 110.686119 \nL 123.333729 113.294171 \nL 125.906268 115.881543 \nL 128.198053 118.418022 \nL 130.231253 120.882588 \nL 132.029029 123.261451 \nL 135.010887 127.733261 \nL 137.321209 131.810594 \nL 139.11897 135.506003 \nL 141.146142 140.396427 \nL 145.334853 151.32884 \nL 146.293517 153.138595 \nL 147.367459 154.746117 \nL 148.600705 156.150095 \nL 150.039137 157.341944 \nL 151.732463 158.304731 \nL 153.735784 159.011628 \nL 156.110637 159.42375 \nL 158.925136 159.487401 \nL 162.252625 159.130833 \nL 166.167792 158.260935 \nL 168.367601 157.597949 \nL 170.738615 156.761009 \nL 173.285903 155.731999 \nL 176.011805 154.491813 \nL 178.914902 153.020878 \nL 181.98879 151.299959 \nL 185.220628 149.311306 \nL 188.589498 147.040225 \nL 192.064634 144.477151 \nL 195.603646 141.6202 \nL 199.150905 138.478222 \nL 202.636388 135.074141 \nL 205.975338 131.448307 \nL 209.069152 127.661396 \nL 211.80797 123.796093 \nL 214.075327 119.956821 \nL 215.755027 116.266613 \nL 216.740019 112.86057 \nL 216.942585 109.875808 \nL 216.304526 107.438645 \nL 214.805721 105.650758 \nL 212.469274 104.576658 \nL 209.361876 104.235188 \nL 205.588899 104.597165 \nL 201.284831 105.589823 \nL 196.600704 107.107292 \nL 191.69075 109.024715 \nL 186.700444 111.21313 \nL 176.966409 115.940149 \nL 168.133575 120.567272 \nL 160.564206 124.729131 \nL 154.33627 128.34263 \nL 149.357028 131.479654 \nL 145.453231 134.264121 \nL 142.428104 136.813751 \nL 140.09206 139.217264 \nL 138.276646 141.53168 \nL 136.838903 143.788196 \nL 135.138053 147.090452 \nL 130.820749 156.344554 \nL 129.652381 158.235857 \nL 128.302936 160.056396 \nL 126.722562 161.7998 \nL 124.856854 163.456381 \nL 122.645272 165.010452 \nL 120.020259 166.436517 \nL 116.90752 167.693884 \nL 113.228337 168.719192 \nL 111.15184 169.116412 \nL 108.905358 169.416384 \nL 106.481313 169.599927 \nL 103.874115 169.64414 \nL 101.081062 169.521992 \nL 98.103478 169.20197 \nL 94.948097 168.647928 \nL 91.628718 167.819182 \nL 88.168072 166.671081 \nL 84.59985 165.156199 \nL 80.970745 163.226367 \nL 77.342242 160.835813 \nL 73.791826 157.945514 \nL 70.4131 154.52884 \nL 67.3143 150.578253 \nL 64.614653 146.112546 \nL 62.438203 141.183553 \nL 60.905086 135.880969 \nL 60.120838 130.333589 \nL 60.164935 124.705512 \nL 61.080366 119.186506 \nL 62.86638 113.976992 \nL 65.476053 109.269521 \nL 68.819614 105.229874 \nL 72.773071 101.981255 \nL 77.190567 99.594524 \nL 81.918104 98.085876 \nL 86.806304 97.42167 \nL 91.720428 97.528523 \nL 96.546814 98.30617 \nL 101.195729 99.640518 \nL 105.601311 101.415007 \nL 109.719482 103.519199 \nL 113.524759 105.854346 \nL 117.006686 108.336282 \nL 120.166363 110.896138 \nL 123.013372 113.479656 \nL 125.563199 116.0456 \nL 127.83518 118.563808 \nL 129.850891 121.013155 \nL 131.632953 123.379682 \nL 134.586793 127.834536 \nL 136.870915 131.903656 \nL 138.641567 135.597987 \nL 140.032656 138.944657 \nL 141.645952 143.383581 \nL 144.152534 150.528868 \nL 145.434569 153.376333 \nL 146.403361 155.031995 \nL 147.511532 156.495636 \nL 148.80173 157.761777 \nL 150.320104 158.81756 \nL 152.118027 159.641433 \nL 154.253454 160.201255 \nL 156.791677 160.451762 \nL 159.805058 160.331394 \nL 163.370952 159.758667 \nL 167.56654 158.628726 \nL 169.922166 157.815119 \nL 172.458585 156.811518 \nL 175.179557 155.598159 \nL 178.085348 154.154516 \nL 181.171496 152.460028 \nL 184.427352 150.495172 \nL 187.8344 148.242973 \nL 191.364394 145.691016 \nL 194.977435 142.834009 \nL 198.620148 139.676878 \nL 202.22423 136.238303 \nL 205.705724 132.554377 \nL 208.965482 128.681964 \nL 211.891315 124.701026 \nL 214.362249 120.715117 \nL 216.255225 116.84898 \nL 217.454047 113.242622 \nL 217.860051 110.041447 \nL 217.403248 107.383071 \nL 216.05215 105.38238 \nL 213.820373 104.117387 \nL 210.768318 103.618753 \nL 206.999124 103.865606 \nL 202.649301 104.788839 \nL 197.875635 106.281321 \nL 192.84079 108.212679 \nL 187.7 110.445577 \nL 182.590771 112.8502 \nL 172.893892 117.752154 \nL 164.343411 122.319844 \nL 157.169314 126.31735 \nL 151.355848 129.750723 \nL 146.755512 132.735619 \nL 143.168647 135.408151 \nL 140.389395 137.882055 \nL 138.228379 140.236388 \nL 136.521571 142.518347 \nL 135.131684 144.751335 \nL 133.399875 148.023735 \nL 130.763752 153.244389 \nL 128.98076 156.200037 \nL 127.595041 158.081415 \nL 125.990145 159.881236 \nL 124.110545 161.587268 \nL 121.896302 163.181426 \nL 119.282185 164.636041 \nL 116.198068 165.908653 \nL 114.457063 166.4577 \nL 112.571445 166.934949 \nL 110.532749 167.327427 \nL 108.333389 167.619533 \nL 105.967182 167.792641 \nL 103.430027 167.824733 \nL 100.72077 167.690058 \nL 97.842261 167.358904 \nL 94.802637 166.797532 \nL 91.616797 165.968412 \nL 88.308077 164.830863 \nL 84.909998 163.342287 \nL 81.467981 161.460168 \nL 78.040772 159.145027 \nL 74.701285 156.364384 \nL 71.53644 153.09782 \nL 68.645547 149.342773 \nL 66.136831 145.120703 \nL 64.121795 140.482585 \nL 62.707528 135.512665 \nL 61.987427 130.329085 \nL 62.031403 125.080216 \nL 62.877105 119.936161 \nL 64.523791 115.075844 \nL 66.930286 110.67128 \nL 70.017703 106.871511 \nL 73.676618 103.789086 \nL 77.777432 101.491417 \nL 82.182048 99.998287 \nL 86.754967 99.285354 \nL 91.372237 99.292274 \nL 95.927499 99.933358 \nL 100.335028 101.108754 \nL 104.530191 102.71446 \nL 108.468061 104.650187 \nL 112.120895 106.8247 \nL 115.475159 109.158867 \nL 118.528495 111.586769 \nL 121.286966 114.055436 \nL 123.76268 116.52375 \nL 125.971833 118.96087 \nL 127.933165 121.344529 \nL 129.666767 123.659381 \nL 132.532774 128.047183 \nL 134.72924 132.088865 \nL 136.400868 135.786796 \nL 137.672283 139.162013 \nL 139.050213 143.682795 \nL 140.297213 148.851765 \nL 141.963142 156.056465 \nL 142.7613 158.560117 \nL 143.735837 160.749925 \nL 144.527438 162.036874 \nL 145.467536 163.180809 \nL 146.591318 164.172543 \nL 147.940213 164.99717 \nL 149.563397 165.632533 \nL 151.519247 166.047075 \nL 153.876622 166.196897 \nL 156.715573 166.02191 \nL 160.126846 165.440975 \nL 164.208982 164.346307 \nL 169.060984 162.59802 \nL 171.803306 161.425409 \nL 174.767405 160.021082 \nL 177.957168 158.358334 \nL 181.371271 156.409574 \nL 185.00129 154.147547 \nL 188.829432 151.547122 \nL 192.825958 148.58785 \nL 196.946369 145.257354 \nL 201.128598 141.555622 \nL 205.290559 137.500098 \nL 209.328578 133.131239 \nL 213.117429 128.517875 \nL 216.512756 123.761322 \nL 219.356719 118.9968 \nL 221.48738 114.390546 \nL 222.751807 110.131181 \nL 223.021927 106.414724 \nL 222.211148 103.424107 \nL 220.2887 101.306059 \nL 217.28842 100.149824 \nL 213.309295 99.972874 \nL 208.506764 100.717747 \nL 203.076147 102.261305 \nL 197.231506 104.434285 \nL 191.184273 107.046251 \nL 185.125489 109.910161 \nL 173.571264 115.77071 \nL 154.90382 125.652326 \nL 145.204338 130.96899 \nL 140.438028 133.815962 \nL 136.719856 136.329034 \nL 133.796462 138.646694 \nL 131.446479 140.855481 \nL 129.483759 143.000859 \nL 126.133274 147.152124 \nL 123.679426 150.1158 \nL 121.905491 151.987528 \nL 119.936211 153.747508 \nL 117.70682 155.364805 \nL 115.157843 156.800059 \nL 112.235386 158.001751 \nL 110.619384 158.494436 \nL 108.893812 158.901478 \nL 107.055221 159.210821 \nL 105.101635 159.408709 \nL 103.032981 159.479561 \nL 100.851607 159.405913 \nL 98.562889 159.168452 \nL 96.175916 158.746159 \nL 93.704242 158.116661 \nL 91.16667 157.2568 \nL 88.588015 156.143491 \nL 85.999769 154.754949 \nL 83.440558 153.072296 \nL 80.956269 151.08157 \nL 78.599671 148.776073 \nL 76.429408 146.158956 \nL 74.508215 143.245797 \nL 72.900265 140.066845 \nL 71.667751 136.668551 \nL 70.866811 133.113882 \nL 70.543179 129.481107 \nL 70.728048 125.860767 \nL 71.434698 122.350863 \nL 72.656452 119.050671 \nL 74.36632 116.053832 \nL 76.518533 113.441621 \nL 79.051733 111.277365 \nL 81.893436 109.602678 \nL 84.96512 108.436054 \nL 88.187275 107.773727 \nL 91.483851 107.592465 \nL 94.785719 107.853683 \nL 98.032984 108.508146 \nL 101.176163 109.500669 \nL 104.176403 110.774215 \nL 107.00497 112.273247 \nL 109.642261 113.946097 \nL 112.076542 115.746472 \nL 114.302608 117.634199 \nL 116.320467 119.575379 \nL 118.134133 121.54213 \nL 119.750567 123.512083 \nL 121.178769 125.467713 \nL 122.429032 127.395651 \nL 123.512342 129.286001 \nL 125.222738 132.92804 \nL 126.396077 136.362114 \nL 127.108772 139.579551 \nL 127.423543 142.58486 \nL 127.387924 145.389197 \nL 127.034207 148.00613 \nL 126.380128 150.44882 \nL 125.429844 152.728034 \nL 124.174955 154.85048 \nL 122.595512 156.817113 \nL 120.661066 158.621068 \nL 118.332007 160.244878 \nL 115.561614 161.656683 \nL 113.995186 162.267964 \nL 112.299535 162.805119 \nL 110.468773 163.2576 \nL 108.497727 163.612746 \nL 106.382379 163.855532 \nL 104.1204 163.96831 \nL 101.711819 163.930625 \nL 99.159823 163.719074 \nL 96.4717 163.307319 \nL 93.659924 162.666302 \nL 90.743346 161.764747 \nL 87.748439 160.570062 \nL 84.710517 159.049742 \nL 81.674751 157.173405 \nL 78.696823 154.915495 \nL 75.842947 152.258669 \nL 73.188959 149.197764 \nL 70.818247 145.744018 \nL 68.818261 141.929098 \nL 67.275629 137.808194 \nL 66.270001 133.461431 \nL 65.867265 128.992738 \nL 66.112817 124.525678 \nL 67.026046 120.196136 \nL 68.596948 116.142483 \nL 70.785673 112.49439 \nL 73.525243 109.362002 \nL 76.727091 106.827255 \nL 80.2885 104.938534 \nL 84.100805 103.709491 \nL 88.057134 103.12166 \nL 92.058734 103.130067 \nL 96.01943 103.670568 \nL 99.868071 104.667568 \nL 103.549219 106.041104 \nL 107.022495 107.712613 \nL 110.261043 109.609092 \nL 113.249533 111.665661 \nL 115.982032 113.826802 \nL 118.45996 116.046571 \nL 120.690239 118.288068 \nL 122.683731 120.522531 \nL 124.453928 122.728205 \nL 126.015919 124.889206 \nL 127.385571 126.994406 \nL 129.611661 131.011012 \nL 131.254876 134.75071 \nL 132.424669 138.214125 \nL 133.213208 141.41664 \nL 133.694497 144.380437 \nL 133.925247 147.129887 \nL 133.946555 149.689019 \nL 133.785821 152.08022 \nL 133.458537 154.323676 \nL 132.969757 156.437153 \nL 132.315172 158.435975 \nL 131.481741 160.332992 \nL 130.447907 162.138419 \nL 129.18343 163.859436 \nL 127.648891 165.49935 \nL 125.795 167.056141 \nL 123.561872 168.520065 \nL 120.878604 169.869889 \nL 117.663751 171.067225 \nL 113.82773 172.04818 \nL 111.647937 172.427772 \nL 109.278877 172.711659 \nL 106.710803 172.878856 \nL 103.935937 172.903953 \nL 100.949513 172.75653 \nL 97.751118 172.400638 \nL 94.346355 171.794457 \nL 90.748861 170.890278 \nL 86.982666 169.634994 \nL 83.084773 167.971388 \nL 79.107854 165.840479 \nL 75.12268 163.185318 \nL 71.219872 159.956426 \nL 67.510272 156.119037 \nL 64.123212 151.661865 \nL 61.20188 146.60666 \nL 58.895235 141.017149 \nL 57.346466 135.005309 \nL 56.678818 128.732605 \nL 56.980624 122.40412 \nL 58.292219 116.25456 \nL 60.597637 110.527189 \nL 63.823443 105.448762 \nL 67.845376 101.205184 \nL 72.501762 97.922894 \nL 77.610849 95.659515 \nL 82.98863 94.404928 \nL 88.464041 94.091262 \nL 93.889647 94.608604 \nL 99.147234 95.82256 \nL 104.148967 97.590473 \nL 108.83532 99.774284 \nL 113.171124 102.24921 \nL 117.14088 104.908483 \nL 120.744132 107.664932 \nL 123.991357 110.450303 \nL 126.900541 113.213284 \nL 129.494486 115.916901 \nL 131.79876 118.5358 \nL 133.840186 121.053691 \nL 137.241889 125.753789 \nL 139.905736 129.993725 \nL 142.016524 133.791338 \nL 144.485906 138.735383 \nL 147.737695 145.269772 \nL 149.00089 147.367788 \nL 150.34948 149.195301 \nL 151.844441 150.756278 \nL 153.543609 152.045032 \nL 155.504152 153.045295 \nL 157.784182 153.728978 \nL 159.062569 153.939708 \nL 160.443228 154.054587 \nL 161.933644 154.066047 \nL 163.541127 153.965471 \nL 165.27264 153.743171 \nL 167.134554 153.388388 \nL 169.132323 152.889333 \nL 171.270081 152.233307 \nL 173.550122 151.406886 \nL 175.972263 150.396242 \nL 178.533086 149.187611 \nL 181.225049 147.767954 \nL 184.035469 146.12586 \nL 186.945416 144.252708 \nL 189.928566 142.144129 \nL 192.9501 139.801756 \nL 195.965771 137.235198 \nL 198.921323 134.464156 \nL 201.752471 131.520447 \nL 204.385681 128.449668 \nL 206.740031 125.312082 \nL 208.730277 122.182314 \nL 210.271269 119.147377 \nL 211.283523 116.302757 \nL 211.699622 113.746466 \nL 211.470723 111.571485 \nL 210.572325 109.857324 \nL 209.008298 108.661997 \nL 206.812349 108.015772 \nL 204.046454 107.917953 \nL 200.796302 108.337421 \nL 197.16442 109.216929 \nL 193.261989 110.480321 \nL 189.200623 112.041265 \nL 185.08516 113.812009 \nL 177.047172 117.667299 \nL 169.697408 121.54311 \nL 163.330894 125.161371 \nL 158.038644 128.430772 \nL 153.779284 131.371954 \nL 150.441227 134.051705 \nL 147.885934 136.541709 \nL 145.973939 138.899375 \nL 144.578548 141.162859 \nL 143.59174 143.353111 \nL 142.925556 145.478366 \nL 142.511077 147.538687 \nL 142.296317 149.52958 \nL 142.270036 152.371247 \nL 142.534345 155.018114 \nL 143.059609 157.447471 \nL 143.557567 158.935273 \nL 144.185458 160.309362 \nL 144.960542 161.561207 \nL 145.906714 162.680019 \nL 147.055043 163.651607 \nL 148.444571 164.456895 \nL 150.123307 165.070041 \nL 152.149289 165.455945 \nL 154.591474 165.567038 \nL 157.530031 165.339198 \nL 161.055259 164.686768 \nL 165.26381 163.497038 \nL 167.654293 162.656801 \nL 170.250029 161.625295 \nL 173.059693 160.37913 \nL 176.089038 158.893107 \nL 179.33958 157.140764 \nL 182.806958 155.095297 \nL 186.478938 152.730975 \nL 190.333091 150.025196 \nL 194.334183 146.961295 \nL 198.431447 143.532199 \nL 202.555997 139.744913 \nL 206.618771 135.625649 \nL 210.509636 131.225172 \nL 214.098333 126.62353 \nL 217.238063 121.933062 \nL 219.772407 117.298187 \nL 221.545887 112.890428 \nL 222.41781 108.897632 \nL 222.278076 105.507287 \nL 221.062589 102.885484 \nL 218.765293 101.154944 \nL 215.443708 100.376735 \nL 211.216041 100.540379 \nL 206.249751 101.565334 \nL 200.743581 103.313933 \nL 194.906762 105.61254 \nL 188.9394 108.275872 \nL 183.017328 111.129062 \nL 171.842132 116.846293 \nL 154.007249 126.336003 \nL 144.805479 131.47008 \nL 140.291575 134.256894 \nL 136.770036 136.743964 \nL 133.997542 139.05684 \nL 131.762685 141.27239 \nL 129.888136 143.42988 \nL 126.661024 147.609867 \nL 124.273051 150.596755 \nL 122.536423 152.486189 \nL 120.601133 154.267429 \nL 118.402893 155.911455 \nL 115.881591 157.381044 \nL 112.981426 158.626986 \nL 111.37355 159.146235 \nL 109.653346 159.583151 \nL 107.816653 159.925893 \nL 105.860657 160.160859 \nL 103.784312 160.272522 \nL 101.588856 160.243338 \nL 99.278429 160.053711 \nL 96.860782 159.682107 \nL 94.348065 159.105306 \nL 91.757669 158.298911 \nL 89.113081 157.238129 \nL 86.444664 155.898946 \nL 83.790268 154.25968 \nL 81.195533 152.30302 \nL 78.713713 150.018442 \nL 76.404861 147.404966 \nL 74.334212 144.474013 \nL 72.569635 141.252043 \nL 71.178163 137.782539 \nL 70.221783 134.12687 \nL 69.752716 130.36353 \nL 69.808798 126.585421 \nL 70.409507 122.89516 \nL 71.553279 119.398662 \nL 73.216647 116.197712 \nL 75.355391 113.382442 \nL 77.907654 111.024852 \nL 80.798558 109.1742 \nL 83.945671 107.854907 \nL 87.264568 107.067008 \nL 90.673833 106.788909 \nL 94.099019 106.981666 \nL 97.475343 107.594101 \nL 100.749117 108.567959 \nL 103.878096 109.842521 \nL 106.830992 111.358376 \nL 109.586414 113.060112 \nL 112.131519 114.89803 \nL 114.460549 116.829024 \nL 116.573402 118.816791 \nL 118.474311 120.831543 \nL 120.170693 122.849458 \nL 121.672173 124.851964 \nL 122.989773 126.824973 \nL 124.135263 128.758135 \nL 125.957794 132.478168 \nL 127.2323 135.979931 \nL 128.041231 139.255732 \nL 128.452806 142.311742 \nL 128.519524 145.161144 \nL 128.278195 147.819764 \nL 127.750721 150.303293 \nL 126.945171 152.625443 \nL 125.856834 154.796523 \nL 124.469158 156.822077 \nL 122.75458 158.701278 \nL 120.675399 160.424736 \nL 118.185002 161.971427 \nL 115.229965 163.304348 \nL 113.560531 163.873298 \nL 111.753861 164.364629 \nL 109.803541 164.766319 \nL 107.704062 165.063945 \nL 105.451325 165.240394 \nL 103.043276 165.275592 \nL 100.480686 165.146278 \nL 97.768096 164.825896 \nL 94.914922 164.284652 \nL 91.936718 163.489833 \nL 88.856541 162.406504 \nL 85.706367 160.998696 \nL 82.528406 159.231237 \nL 79.376122 157.072315 \nL 76.314743 154.49687 \nL 73.420886 151.49072 \nL 70.781019 148.055258 \nL 68.488417 144.212222 \nL 66.638482 140.007928 \nL 65.322477 135.515993 \nL 64.620104 130.837613 \nL 64.591725 126.09856 \nL 65.271361 121.442511 \nL 66.661655 117.020972 \nL 68.731933 112.981046 \nL 71.419845 109.452683 \nL 74.636538 106.537632 \nL 78.274461 104.301845 \nL 82.216525 102.772448 \nL 86.345159 101.939382 \nL 90.550036 101.760884 \nL 94.733729 102.171408 \nL 98.815031 103.090438 \nL 102.730163 104.430842 \nL 106.432282 106.105806 \nL 109.8899 108.033981 \nL 113.084668 110.142742 \nL 116.008971 112.369812 \nL 118.663586 114.663647 \nL 121.055576 116.982936 \nL 123.196497 119.295583 \nL 125.100915 121.577435 \nL 126.785226 123.810959 \nL 128.266737 125.98398 \nL 130.691183 130.120066 \nL 132.50888 133.956948 \nL 133.840588 137.496435 \nL 134.788844 140.756101 \nL 135.437135 143.760493 \nL 135.851016 146.536126 \nL 136.137148 150.326716 \nL 136.116933 153.738852 \nL 135.849986 156.838699 \nL 135.355263 159.680803 \nL 134.618739 162.310154 \nL 133.972983 163.963594 \nL 133.18052 165.548662 \nL 132.214445 167.073427 \nL 131.040512 168.54426 \nL 129.616019 169.965128 \nL 127.888466 171.336301 \nL 125.794077 172.65222 \nL 123.256426 173.898049 \nL 120.185598 175.044289 \nL 116.478758 176.038574 \nL 114.351935 176.453219 \nL 112.02369 176.793496 \nL 109.480028 177.040181 \nL 106.708034 177.169403 \nL 103.696809 177.15182 \nL 100.438725 176.951771 \nL 96.931084 176.526482 \nL 93.178219 175.825458 \nL 89.194109 174.790243 \nL 85.005487 173.354847 \nL 80.655353 171.44719 \nL 76.206685 168.992063 \nL 71.745891 165.916066 \nL 67.385332 162.155029 \nL 63.26394 157.664029 \nL 59.544754 152.429745 \nL 56.408187 146.483915 \nL 54.040222 139.915694 \nL 52.615628 132.879647 \nL 52.27777 125.595603 \nL 53.118151 118.33747 \nL 55.160043 111.410139 \nL 58.350538 105.117105 \nL 62.563833 99.724719 \nL 67.615561 95.430965 \nL 73.285121 92.345653 \nL 79.340855 90.485763 \nL 85.562871 89.785363 \nL 91.759817 90.115735 \nL 97.778182 91.309942 \nL 103.504741 93.186431 \nL 108.863945 95.568023 \nL 113.812392 98.294817 \nL 118.332211 101.231186 \nL 122.424587 104.267942 \nL 126.104135 107.321296 \nL 129.394347 110.329855 \nL 132.324116 113.250864 \nL 134.925191 116.056315 \nL 139.272258 121.261694 \nL 142.690987 125.896627 \nL 145.413954 129.978493 \nL 152.918909 141.674532 \nL 154.600557 143.632498 \nL 156.393645 145.245451 \nL 158.369396 146.513349 \nL 159.445751 147.014487 \nL 160.590886 147.423678 \nL 161.81164 147.737368 \nL 163.114424 147.951191 \nL 164.50515 148.059987 \nL 165.989144 148.057826 \nL 167.570988 147.938043 \nL 169.254328 147.693321 \nL 171.041619 147.3158 \nL 172.933805 146.797257 \nL 174.929933 146.129332 \nL 177.026705 145.303873 \nL 179.217958 144.313352 \nL 181.494086 143.151427 \nL 183.841424 141.813637 \nL 186.241629 140.29822 \nL 188.67109 138.607088 \nL 191.100446 136.746891 \nL 193.494285 134.730127 \nL 195.811125 132.57623 \nL 198.003784 130.312476 \nL 200.020275 127.974543 \nL 201.805282 125.606578 \nL 203.302294 123.260517 \nL 204.456364 120.994528 \nL 205.21738 118.870514 \nL 205.543603 116.95069 \nL 205.405152 115.293508 \nL 204.786993 113.949292 \nL 203.691026 112.956146 \nL 202.136892 112.336734 \nL 200.161312 112.096464 \nL 197.815943 112.223371 \nL 195.164 112.689786 \nL 192.276083 113.455493 \nL 189.225699 114.471856 \nL 186.085037 115.686315 \nL 179.794543 118.504155 \nL 173.843642 121.549362 \nL 168.519745 124.575198 \nL 163.967851 127.4513 \nL 160.224509 130.134011 \nL 157.256456 132.629247 \nL 154.993163 134.962709 \nL 153.350161 137.161468 \nL 152.243892 139.245169 \nL 151.60021 141.223466 \nL 151.358574 143.096591 \nL 151.473557 144.857053 \nL 151.914854 146.491306 \nL 152.6665 147.980843 \nL 153.725772 149.302602 \nL 155.101969 150.428636 \nL 156.815116 151.325168 \nL 158.894463 151.951133 \nL 161.376464 152.256379 \nL 164.301746 152.179803 \nL 167.710306 151.647935 \nL 169.606345 151.184861 \nL 171.633888 150.574886 \nL 173.793692 149.805803 \nL 176.084239 148.865257 \nL 178.501051 147.741188 \nL 181.035906 146.422431 \nL 183.675967 144.899507 \nL 186.402832 143.165653 \nL 189.191598 141.218071 \nL 192.009947 139.059407 \nL 194.817442 136.699391 \nL 197.565101 134.156568 \nL 200.195482 131.459901 \nL 202.643427 128.650069 \nL 204.837688 125.780107 \nL 206.703539 122.915055 \nL 208.166458 120.130297 \nL 209.156738 117.508344 \nL 209.614734 115.134042 \nL 209.49623 113.088482 \nL 208.777253 111.442191 \nL 207.457563 110.24855 \nL 205.562158 109.538505 \nL 203.14041 109.317505 \nL 200.262786 109.565342 \nL 197.015574 110.238982 \nL 193.494365 111.277838 \nL 189.797232 112.610604 \nL 186.018485 114.162366 \nL 178.546256 117.642314 \nL 171.607551 121.250807 \nL 165.514114 124.70305 \nL 160.390379 127.880204 \nL 156.230785 130.772738 \nL 152.954885 133.42358 \nL 150.448584 135.88879 \nL 148.590674 138.21688 \nL 147.267926 140.441492 \nL 146.382496 142.581341 \nL 145.854623 144.643234 \nL 145.622683 146.625679 \nL 145.641936 148.521946 \nL 145.882774 150.322192 \nL 146.328961 152.014666 \nL 146.976119 153.586118 \nL 147.83058 155.021562 \nL 148.908636 156.303552 \nL 150.236148 157.41097 \nL 151.848438 158.317402 \nL 153.790293 158.989028 \nL 156.115832 159.381997 \nL 158.887825 159.439273 \nL 162.175776 159.08707 \nL 166.051703 158.231315 \nL 168.231458 157.578993 \nL 170.581972 156.755154 \nL 173.108297 155.741739 \nL 175.812844 154.519705 \nL 178.694382 153.069529 \nL 181.746818 151.371978 \nL 184.957783 149.409223 \nL 188.307001 147.166369 \nL 191.764549 144.633468 \nL 195.289078 141.808025 \nL 198.8262 138.697978 \nL 202.307312 135.325008 \nL 205.649162 131.727875 \nL 208.754663 127.965313 \nL 211.515297 124.117838 \nL 213.815588 120.28763 \nL 215.539743 116.595679 \nL 216.580321 113.175562 \nL 216.84826 110.163745 \nL 216.283043 107.687056 \nL 214.861358 105.848969 \nL 212.602538 104.716992 \nL 209.56934 104.313871 \nL 205.863504 104.614644 \nL 201.616621 105.550527 \nL 196.97786 107.018806 \nL 192.100716 108.896642 \nL 187.130963 111.055833 \nL 182.197426 113.37585 \nL 172.838911 118.107008 \nL 164.582422 122.534638 \nL 157.646698 126.437032 \nL 152.019959 129.815812 \nL 147.565195 132.775129 \nL 144.094586 135.439593 \nL 141.413193 137.914204 \nL 139.340953 140.272391 \nL 137.721597 142.558247 \nL 136.424347 144.79378 \nL 134.85337 148.067105 \nL 131.626107 155.278828 \nL 130.563239 157.207038 \nL 129.350356 159.068097 \nL 127.940078 160.85714 \nL 126.281609 162.567344 \nL 124.318843 164.187837 \nL 121.988977 165.700707 \nL 119.221905 167.076756 \nL 115.940975 168.269503 \nL 114.082774 168.775906 \nL 112.066148 169.206909 \nL 109.881739 169.547717 \nL 107.521222 169.78042 \nL 104.977933 169.883534 \nL 102.247711 169.83155 \nL 99.329946 169.594539 \nL 96.228869 169.13789 \nL 92.955128 168.422286 \nL 89.527601 167.404048 \nL 85.975407 166.036049 \nL 82.340006 164.269387 \nL 78.677181 162.056089 \nL 75.058558 159.353 \nL 71.572275 156.126999 \nL 68.322222 152.361456 \nL 65.425293 148.063473 \nL 63.006179 143.271121 \nL 61.189503 138.059353 \nL 60.089605 132.542965 \nL 59.798978 126.874933 \nL 60.376948 121.239021 \nL 61.840754 115.836435 \nL 64.160965 110.868027 \nL 67.262545 106.514698 \nL 71.031733 102.919647 \nL 75.327424 100.17572 \nL 79.994963 98.320098 \nL 84.879792 97.336594 \nL 89.838868 97.16425 \nL 94.748627 97.709756 \nL 99.509185 98.860957 \nL 104.045251 100.499262 \nL 108.304628 102.509527 \nL 112.255255 104.78684 \nL 115.881631 107.240379 \nL 119.181195 109.794854 \nL 122.161025 112.39024 \nL 124.835039 114.980384 \nL 127.221709 117.531118 \nL 129.342289 120.018172 \nL 131.219458 122.42518 \nL 134.335723 126.962763 \nL 136.749147 131.110361 \nL 138.621565 134.875021 \nL 140.092582 138.282614 \nL 141.796203 142.795578 \nL 144.427909 150.035239 \nL 145.765117 152.907389 \nL 146.772967 154.571901 \nL 147.923984 156.038169 \nL 149.262292 157.300253 \nL 150.835375 158.344486 \nL 152.695792 159.148095 \nL 154.902461 159.677278 \nL 157.521249 159.884636 \nL 160.624392 159.706006 \nL 164.2879 159.057007 \nL 166.353198 158.523434 \nL 168.585557 157.829972 \nL 170.991982 156.95936 \nL 173.577484 155.893017 \nL 176.344217 154.611372 \nL 179.290414 153.094425 \nL 182.409102 151.322588 \nL 185.686599 149.277905 \nL 189.100807 146.945705 \nL 192.619396 144.316773 \nL 196.197964 141.390042 \nL 199.778428 138.175746 \nL 203.287879 134.698915 \nL 206.638343 131.002791 \nL 209.727849 127.151711 \nL 212.443315 123.23271 \nL 214.66557 119.354916 \nL 216.276697 115.645966 \nL 217.169383 112.244799 \nL 217.257478 109.290882 \nL 216.486385 106.91073 \nL 214.841492 105.203633 \nL 212.352867 104.229157 \nL 209.094873 103.999158 \nL 205.180313 104.476357 \nL 200.749998 105.57999 \nL 195.959511 107.197378 \nL 190.965532 109.198852 \nL 185.91394 111.452982 \nL 176.119206 116.257104 \nL 167.288696 120.903733 \nL 159.758825 125.051675 \nL 153.586224 128.638231 \nL 148.663765 131.747682 \nL 144.809772 134.509421 \nL 141.823146 137.042362 \nL 139.512448 139.434408 \nL 137.708686 141.741114 \nL 136.268951 143.992275 \nL 134.539877 147.288585 \nL 130.523007 155.55298 \nL 129.32856 157.468968 \nL 127.95652 159.312995 \nL 126.355832 161.077532 \nL 124.471527 162.751687 \nL 122.243127 164.318501 \nL 119.603802 165.751097 \nL 116.480779 167.007296 \nL 114.714068 167.550111 \nL 112.797852 168.02222 \nL 110.723054 168.41036 \nL 108.481434 168.698486 \nL 106.06613 168.867358 \nL 103.472373 168.894116 \nL 100.698392 168.751903 \nL 97.746538 168.409576 \nL 94.624646 167.831611 \nL 91.347638 166.978289 \nL 87.939315 165.806337 \nL 84.434292 164.270199 \nL 80.879872 162.324148 \nL 77.337663 159.925421 \nL 73.884551 157.038523 \nL 70.612598 153.640721 \nL 67.627344 149.728433 \nL 65.044038 145.323985 \nL 62.981495 140.481741 \nL 61.553624 135.29221 \nL 60.859221 129.882701 \nL 60.971231 124.41313 \nL 61.927211 119.066422 \nL 63.722846 114.034045 \nL 66.310129 109.498535 \nL 69.600844 105.615897 \nL 73.474929 102.501145 \nL 77.792179 100.219547 \nL 82.405119 98.78477 \nL 87.170899 98.163637 \nL 91.960635 98.285671 \nL 96.665413 99.055146 \nL 101.198969 100.363292 \nL 105.497676 102.098893 \nL 109.518628 104.156382 \nL 113.236689 106.441099 \nL 116.641139 108.872079 \nL 119.732428 111.382787 \nL 122.519246 113.920527 \nL 125.016075 116.445011 \nL 127.241202 118.926554 \nL 129.215181 121.344179 \nL 130.959651 123.68383 \nL 133.847125 128.098523 \nL 136.071324 132.143492 \nL 137.783005 135.82719 \nL 139.111426 139.174719 \nL 140.615021 143.633662 \nL 143.844984 153.822179 \nL 144.616323 155.557983 \nL 145.489073 157.121767 \nL 146.49915 158.513346 \nL 147.68504 159.726875 \nL 149.089589 160.750023 \nL 150.761646 161.56266 \nL 152.757495 162.135004 \nL 155.141898 162.425056 \nL 157.988405 162.375299 \nL 161.378272 161.908682 \nL 165.396832 160.92429 \nL 167.667818 160.198929 \nL 170.125506 159.293726 \nL 172.776991 158.18823 \nL 175.626677 156.860571 \nL 178.675143 155.287951 \nL 181.917756 153.447463 \nL 185.342999 151.317306 \nL 188.930546 148.878513 \nL 192.649129 146.117272 \nL 196.454305 143.027914 \nL 200.286375 139.616537 \nL 204.068718 135.905109 \nL 207.707043 131.935756 \nL 211.090059 127.774592 \nL 214.092201 123.514275 \nL 216.578909 119.274174 \nL 218.414763 115.197018 \nL 219.474278 111.441144 \nL 219.654481 108.168124 \nL 218.887659 105.526681 \nL 217.152056 103.635081 \nL 214.478156 102.565364 \nL 210.948756 102.332918 \nL 206.6922 102.894226 \nL 201.869778 104.153634 \nL 196.659607 105.97768 \nL 191.240062 108.213664 \nL 185.775543 110.708335 \nL 175.243773 115.945225 \nL 161.665949 123.151894 \nL 151.401435 128.893688 \nL 146.261848 132.017044 \nL 142.242677 134.759308 \nL 139.115823 137.259375 \nL 136.669205 139.616116 \nL 134.718079 141.889934 \nL 133.107166 144.111719 \nL 131.054571 147.367875 \nL 127.812443 152.555354 \nL 126.360383 154.517097 \nL 124.724493 156.394434 \nL 122.845017 158.17049 \nL 120.661736 159.823069 \nL 118.112808 161.321312 \nL 115.135065 162.62105 \nL 113.465823 163.177571 \nL 111.666445 163.658715 \nL 109.730278 164.052251 \nL 107.651693 164.343722 \nL 105.426569 164.516155 \nL 103.052882 164.54981 \nL 100.531446 164.421982 \nL 97.866801 164.106903 \nL 95.068258 163.575819 \nL 92.151077 162.79732 \nL 89.137749 161.738016 \nL 86.059307 160.363693 \nL 82.956531 158.641062 \nL 79.880891 156.540191 \nL 76.894956 154.037689 \nL 74.072034 151.120584 \nL 71.494675 147.790675 \nL 69.25181 144.068978 \nL 67.43437 139.999637 \nL 66.129456 135.652439 \nL 65.413413 131.123112 \nL 65.344594 126.53059 \nL 65.956762 122.0109 \nL 67.254306 117.707966 \nL 69.210225 113.762243 \nL 71.767422 110.2989 \nL 74.843282 107.417331 \nL 78.336749 105.183797 \nL 82.136795 103.628162 \nL 86.130928 102.744973 \nL 90.212603 102.498185 \nL 94.286779 102.828319 \nL 98.273353 103.660611 \nL 102.108561 104.912878 \nL 105.744784 106.502248 \nL 109.14923 108.350207 \nL 112.301947 110.385962 \nL 115.193601 112.548222 \nL 117.823265 114.785752 \nL 120.196389 117.057081 \nL 122.323056 119.329634 \nL 124.216517 121.578599 \nL 125.892009 123.785696 \nL 127.365842 125.937988 \nL 129.775019 130.046851 \nL 131.573128 133.871359 \nL 132.876787 137.409369 \nL 133.785302 140.67559 \nL 134.379431 143.692579 \nL 134.72215 146.485547 \nL 134.860406 149.079544 \nL 134.827189 151.498005 \nL 134.643521 153.762158 \nL 134.320173 155.890837 \nL 133.858977 157.900562 \nL 133.253711 159.805663 \nL 132.490555 161.618386 \nL 131.548137 163.348881 \nL 130.397212 165.00494 \nL 129.000007 166.591395 \nL 127.30931 168.108972 \nL 125.267433 169.552361 \nL 122.805273 170.9071 \nL 119.841903 172.144766 \nL 116.28549 173.215706 \nL 114.254011 173.664817 \nL 112.036905 174.038482 \nL 109.622052 174.319143 \nL 106.998399 174.485184 \nL 104.156787 174.510255 \nL 101.091048 174.362585 \nL 97.799411 174.004368 \nL 94.286299 173.391298 \nL 90.564508 172.472436 \nL 86.657787 171.190608 \nL 82.603741 169.483651 \nL 78.456863 167.286844 \nL 74.291375 164.536909 \nL 70.203353 161.177936 \nL 66.31139 157.16938 \nL 62.754909 152.495892 \nL 59.689211 147.178212 \nL 57.276548 141.283476 \nL 55.673193 134.932586 \nL 55.01339 128.301843 \nL 55.392383 121.616313 \nL 56.851631 115.133771 \nL 59.369705 109.120485 \nL 62.86145 103.82249 \nL 67.186316 99.438115 \nL 72.164174 96.097603 \nL 77.595335 93.853741 \nL 83.280561 92.684582 \nL 89.037606 92.506113 \nL 94.712249 93.190842 \nL 100.18351 94.587801 \nL 105.363947 96.54041 \nL 110.196575 98.90008 \nL 114.65003 101.53493 \nL 118.713147 104.334144 \nL 122.389843 107.208877 \nL 125.694702 110.090925 \nL 128.649402 112.930132 \nL 131.279966 115.691307 \nL 133.614716 118.351146 \nL 137.51318 123.316728 \nL 140.571647 127.783001 \nL 142.996828 131.76223 \nL 145.831668 136.898091 \nL 148.840331 142.402395 \nL 150.256335 144.652419 \nL 151.726302 146.595518 \nL 153.321106 148.240175 \nL 155.105093 149.584252 \nL 157.138857 150.614243 \nL 158.267769 151.003909 \nL 159.480975 151.304372 \nL 160.785549 151.510308 \nL 162.188385 151.615496 \nL 163.696111 151.612785 \nL 165.314936 151.494094 \nL 167.050458 151.250423 \nL 168.907398 150.871914 \nL 170.889261 150.347946 \nL 172.997919 149.667323 \nL 175.233092 148.818536 \nL 177.591732 147.790159 \nL 180.067309 146.571387 \nL 182.649004 145.152761 \nL 185.320823 143.527089 \nL 188.060695 141.690596 \nL 190.839576 139.644287 \nL 193.620715 137.395498 \nL 196.359138 134.959528 \nL 199.001569 132.36127 \nL 201.486919 129.636565 \nL 203.747563 126.833071 \nL 205.71155 124.010272 \nL 207.305782 121.238348 \nL 208.460187 118.595609 \nL 209.112602 116.164407 \nL 209.213972 114.025682 \nL 208.733249 112.252588 \nL 207.661304 110.904008 \nL 206.013155 110.01885 \nL 203.828008 109.612266 \nL 201.166988 109.674349 \nL 198.108727 110.171788 \nL 194.743469 111.052053 \nL 191.166528 112.249514 \nL 187.471956 113.692253 \nL 183.747182 115.308616 \nL 176.501705 118.807588 \nL 169.886692 122.34089 \nL 164.151053 125.680621 \nL 159.376427 128.745379 \nL 155.533742 131.543104 \nL 152.533301 134.120331 \nL 150.260723 136.529535 \nL 148.59942 138.813232 \nL 147.44304 140.999181 \nL 146.701318 143.101383 \nL 146.301953 145.123207 \nL 146.190297 147.060766 \nL 146.328018 148.905564 \nL 146.691415 150.646257 \nL 147.269803 152.269501 \nL 148.064167 153.760071 \nL 149.086187 155.100373 \nL 150.357611 156.26943 \nL 151.909929 157.241401 \nL 153.784191 157.983622 \nL 156.030747 158.454158 \nL 158.708512 158.59884 \nL 161.883139 158.347939 \nL 165.623133 157.612817 \nL 167.7256 157.030163 \nL 169.992397 156.283507 \nL 172.428652 155.355826 \nL 175.03713 154.229117 \nL 177.81733 152.884834 \nL 180.764376 151.304556 \nL 183.86772 149.470972 \nL 187.109655 147.369219 \nL 190.463707 144.988669 \nL 193.892955 142.325169 \nL 197.348483 139.383722 \nL 200.768148 136.181518 \nL 204.075991 132.751055 \nL 207.18265 129.142998 \nL 209.987206 125.428191 \nL 212.380795 121.69809 \nL 214.252258 118.062913 \nL 215.495731 114.64677 \nL 216.019716 111.579618 \nL 215.756683 108.986323 \nL 214.671772 106.97407 \nL 212.769045 105.620044 \nL 210.093804 104.961807 \nL 206.730169 104.992502 \nL 202.794041 105.662142 \nL 198.422549 106.88486 \nL 193.761798 108.550628 \nL 188.954996 110.538857 \nL 184.132636 112.731402 \nL 174.862669 117.326747 \nL 166.565535 121.735735 \nL 159.518369 125.681398 \nL 153.754487 129.123427 \nL 149.166123 132.142489 \nL 145.582075 134.853922 \nL 142.815623 137.361638 \nL 140.690005 139.741549 \nL 139.049709 142.041101 \nL 137.763686 144.285303 \nL 136.26919 147.566862 \nL 132.218261 157.678176 \nL 131.20998 159.520744 \nL 130.038506 161.298321 \nL 128.659587 163.008664 \nL 127.023848 164.647432 \nL 125.075056 166.206131 \nL 122.748734 167.669138 \nL 119.971437 169.009396 \nL 116.661278 170.1822 \nL 114.779101 170.684916 \nL 112.730764 171.116429 \nL 110.505589 171.461761 \nL 108.093762 171.702611 \nL 105.487 171.816811 \nL 102.679406 171.77778 \nL 99.668578 171.554026 \nL 96.457006 171.108743 \nL 93.053782 170.399655 \nL 89.476617 169.379229 \nL 85.754129 167.995477 \nL 81.928299 166.193608 \nL 78.056855 163.918822 \nL 74.215253 161.120482 \nL 70.49776 157.757886 \nL 67.01699 153.807573 \nL 63.901193 149.271776 \nL 61.288658 144.187079 \nL 59.318938 138.631769 \nL 58.121135 132.729924 \nL 57.800386 126.650098 \nL 58.4245 120.597109 \nL 60.013299 114.796638 \nL 62.533155 109.474276 \nL 65.898345 104.832362 \nL 69.979366 101.029042 \nL 74.616622 98.163755 \nL 79.636755 96.27162 \nL 84.868504 95.327004 \nL 90.155633 95.254466 \nL 95.365496 95.943834 \nL 100.393126 97.266146 \nL 105.161538 99.087831 \nL 109.619386 101.2816 \nL 113.737166 103.73356 \nL 117.502914 106.346913 \nL 120.918024 109.042926 \nL 123.993583 111.760102 \nL 126.747326 114.452237 \nL 129.201229 117.086035 \nL 131.379688 119.638636 \nL 133.308155 122.095333 \nL 136.516652 126.691479 \nL 139.021229 130.853369 \nL 140.99584 134.597686 \nL 143.283591 139.503394 \nL 146.229414 146.071227 \nL 147.351052 148.215477 \nL 148.539399 150.10957 \nL 149.850937 151.760019 \nL 151.339456 153.16489 \nL 153.058688 154.313005 \nL 155.064317 155.182796 \nL 157.415221 155.740694 \nL 160.173636 155.939093 \nL 163.403683 155.7141 \nL 165.215219 155.417895 \nL 167.167404 154.983518 \nL 169.266387 154.397723 \nL 171.516909 153.646196 \nL 173.921723 152.71377 \nL 176.480857 151.584768 \nL 179.190741 150.243533 \nL 182.043167 148.675194 \nL 185.02411 146.866705 \nL 188.112427 144.80821 \nL 191.278512 142.494775 \nL 194.482992 139.92846 \nL 197.67565 137.120684 \nL 200.79476 134.094733 \nL 203.767137 130.888146 \nL 206.509177 127.554624 \nL 208.929211 124.164937 \nL 210.931381 120.806271 \nL 212.421107 117.579469 \nL 213.311906 114.593862 \nL 213.533058 111.95964 \nL 213.037174 109.778437 \nL 211.806539 108.133218 \nL 209.857022 107.079116 \nL 207.238621 106.63704 \nL 204.032277 106.791385 \nL 200.343273 107.492512 \nL 196.292258 108.663519 \nL 192.005353 110.209979 \nL 187.604826 112.030722 \nL 183.201566 114.027741 \nL 174.745459 118.217838 \nL 167.163666 122.280487 \nL 160.702177 125.97713 \nL 155.400067 129.262221 \nL 151.172793 132.192267 \nL 147.877224 134.856308 \nL 145.353423 137.33722 \nL 143.447985 139.696639 \nL 142.025152 141.97342 \nL 140.97066 144.187953 \nL 140.191608 146.347895 \nL 139.382883 149.484591 \nL 138.709398 153.452519 \nL 137.103118 165.138789 \nL 136.368577 167.892914 \nL 135.610271 169.826906 \nL 134.598455 171.670076 \nL 133.738207 172.858573 \nL 132.689007 174.021602 \nL 131.407295 175.163884 \nL 129.8396 176.28802 \nL 127.920501 177.39267 \nL 125.570473 178.469545 \nL 122.693901 179.498583 \nL 119.17792 180.440286 \nL 114.893383 181.223855 \nL 112.419304 181.521416 \nL 109.700416 181.729346 \nL 106.719919 181.82079 \nL 103.462985 181.762186 \nL 99.918244 181.512069 \nL 96.079811 181.019896 \nL 91.949935 180.225031 \nL 87.542346 179.05617 \nL 82.886362 177.43157 \nL 78.031633 175.260632 \nL 73.053257 172.44753 \nL 68.056667 168.897689 \nL 63.181315 164.527795 \nL 58.601645 159.27976 \nL 54.523609 153.13812 \nL 51.174858 146.149089 \nL 48.787425 138.437595 \nL 47.573344 130.217132 \nL 47.695965 121.786631 \nL 49.242397 113.510158 \nL 52.204081 105.77959 \nL 56.47161 98.965955 \nL 61.846542 93.370316 \nL 68.067862 89.186342 \nL 74.846434 86.483409 \nL 81.898973 85.212444 \nL 88.974711 85.229993 \nL 95.871227 86.331872 \nL 102.439635 88.287501 \nL 108.5817 90.868393 \nL 114.242199 93.867794 \nL 119.399523 97.111365 \nL 124.056545 100.460559 \nL 128.232805 103.811082 \nL 131.958373 107.08855 \nL 135.269321 110.243021 \nL 138.204542 113.243512 \nL 143.105268 118.724799 \nL 146.963097 123.498234 \nL 151.374701 129.427518 \nL 155.799192 135.375978 \nL 157.750623 137.637239 \nL 159.689334 139.473474 \nL 161.707254 140.904471 \nL 163.878036 141.936434 \nL 165.039409 142.301261 \nL 166.259509 142.563073 \nL 167.543208 142.719386 \nL 168.894361 142.767165 \nL 170.315715 142.702933 \nL 173.373634 142.223063 \nL 176.710748 141.248669 \nL 180.290738 139.753651 \nL 184.038269 137.727593 \nL 187.829924 135.19008 \nL 189.688908 133.748009 \nL 191.487923 132.207625 \nL 193.196431 130.587235 \nL 194.781312 128.909756 \nL 196.207683 127.20268 \nL 197.440043 125.497712 \nL 198.443676 123.830018 \nL 199.186297 122.237058 \nL 199.639843 120.757016 \nL 199.782274 119.42691 \nL 199.5992 118.280514 \nL 199.085213 117.346309 \nL 198.244677 116.645651 \nL 197.091929 116.191398 \nL 195.650786 115.987222 \nL 193.953411 116.027618 \nL 192.038608 116.298683 \nL 189.949777 116.779521 \nL 187.73267 117.444123 \nL 183.095565 119.207235 \nL 178.464351 121.353423 \nL 174.10753 123.679674 \nL 170.208494 126.039239 \nL 166.870289 128.342697 \nL 164.132181 130.545226 \nL 161.989525 132.629841 \nL 160.411812 134.592909 \nL 159.356745 136.434103 \nL 158.78008 138.150683 \nL 158.641889 139.734851 \nL 158.910069 141.17293 \nL 159.561905 142.445343 \nL 160.584245 143.526787 \nL 161.97267 144.386312 \nL 163.729815 144.987201 \nL 165.862794 145.286853 \nL 168.379515 145.236873 \nL 171.283552 144.783965 \nL 174.567096 143.872317 \nL 178.20165 142.448531 \nL 182.126366 140.470281 \nL 186.234806 137.91982 \nL 188.309009 136.435675 \nL 190.362299 134.82257 \nL 192.36372 133.09401 \nL 194.278278 131.268869 \nL 196.067479 129.37178 \nL 197.690206 127.433261 \nL 199.103991 125.489416 \nL 200.266698 123.581151 \nL 201.138546 121.752827 \nL 201.684382 120.05033 \nL 201.876015 118.51868 \nL 201.694401 117.199329 \nL 201.131439 116.127391 \nL 200.191126 115.32918 \nL 198.88989 114.820322 \nL 197.256006 114.604748 \nL 195.328126 114.674719 \nL 193.153078 115.011872 \nL 190.783141 115.589172 \nL 188.273153 116.373422 \nL 185.67769 117.328047 \nL 180.433177 119.601014 \nL 175.401493 122.139395 \nL 170.831655 124.741801 \nL 166.868673 127.284396 \nL 163.572108 129.70725 \nL 160.941492 131.991915 \nL 158.940308 134.140695 \nL 157.514848 136.161975 \nL 156.607401 138.061862 \nL 156.164598 139.840431 \nL 156.142148 141.490731 \nL 156.507081 142.999076 \nL 157.238379 144.345614 \nL 158.326559 145.504696 \nL 159.77256 146.444867 \nL 161.586015 147.128441 \nL 163.782823 147.51087 \nL 166.381737 147.540143 \nL 169.399478 147.156781 \nL 172.843754 146.295157 \nL 176.703482 144.887329 \nL 180.93571 142.870938 \nL 183.165422 141.619834 \nL 185.449375 140.203062 \nL 187.765743 138.62175 \nL 190.087583 136.881277 \nL 192.382527 134.992243 \nL 194.612731 132.971428 \nL 196.735154 130.842614 \nL 198.702274 128.637142 \nL 200.463315 126.394028 \nL 201.966039 124.159499 \nL 203.159092 121.985758 \nL 203.994843 119.928975 \nL 204.432484 118.046423 \nL 204.441179 116.392999 \nL 204.002867 115.017408 \nL 203.114384 113.958428 \nL 201.788544 113.241814 \nL 200.053978 112.878236 \nL 197.953649 112.862666 \nL 195.542227 113.175303 \nL 192.882585 113.783881 \nL 190.04187 114.64704 \nL 187.087623 115.718195 \nL 181.090618 118.294528 \nL 175.327252 121.16737 \nL 170.100076 124.083126 \nL 165.577478 126.894404 \nL 161.81988 129.53943 \nL 158.814267 132.009774 \nL 156.505457 134.321702 \nL 154.819722 136.496977 \nL 153.680547 138.552686 \nL 153.018121 140.497382 \nL 152.774389 142.330756 \nL 152.905223 144.044742 \nL 153.380881 145.624895 \nL 154.185493 147.051332 \nL 155.316076 148.299095 \nL 156.781256 149.33783 \nL 158.599771 150.130902 \nL 160.798564 150.634075 \nL 163.410127 150.794039 \nL 166.468571 150.547063 \nL 170.003578 149.8186 \nL 171.955685 149.247876 \nL 174.03124 148.524865 \nL 176.227932 147.638525 \nL 178.540648 146.578242 \nL 180.960763 145.334393 \nL 183.475372 143.899072 \nL 186.066466 142.267021 \nL 188.710129 140.436738 \nL 191.375785 138.411784 \nL 194.02562 136.202193 \nL 196.614309 133.825931 \nL 199.089147 131.310234 \nL 201.390801 128.692649 \nL 203.454796 126.021478 \nL 205.213845 123.355394 \nL 206.601063 120.761943 \nL 207.553943 118.314748 \nL 208.018874 116.089423 \nL 207.955708 114.158409 \nL 207.341913 112.585254 \nL 206.175596 111.419017 \nL 204.476943 110.689691 \nL 202.287666 110.405445 \nL 199.668442 110.552153 \nL 196.694621 111.095481 \nL 193.4508 111.984989 \nL 190.025001 113.159695 \nL 186.503178 114.55408 \nL 179.478913 117.749642 \nL 172.883929 121.139363 \nL 167.033572 124.442315 \nL 162.071182 127.52547 \nL 158.014943 130.359774 \nL 154.806837 132.970891 \nL 152.351399 135.402461 \nL 150.541924 137.695247 \nL 149.276162 139.878424 \nL 148.464621 141.968151 \nL 148.034136 143.969491 \nL 147.928678 145.87922 \nL 148.108689 147.688404 \nL 148.549804 149.384163 \nL 149.24143 150.950611 \nL 150.185453 152.368963 \nL 151.395209 153.617003 \nL 152.894675 154.667927 \nL 154.71781 155.488678 \nL 156.907795 156.03779 \nL 159.515836 156.262804 \nL 162.598907 156.097438 \nL 166.215565 155.458935 \nL 168.240981 154.931453 \nL 170.418495 154.246483 \nL 172.751731 153.388803 \nL 175.242 152.342517 \nL 177.887482 151.091487 \nL 180.682248 149.619968 \nL 183.615129 147.91352 \nL 186.668444 145.96021 \nL 189.816636 143.752186 \nL 193.024913 141.287615 \nL 196.248011 138.57294 \nL 199.429271 135.625395 \nL 202.500291 132.47552 \nL 205.381446 129.169412 \nL 207.983587 125.770201 \nL 210.211207 122.358252 \nL 211.967209 119.029448 \nL 213.159233 115.891136 \nL 213.707118 113.055546 \nL 213.550788 110.630952 \nL 212.657442 108.711524 \nL 211.026852 107.367332 \nL 208.69361 106.636286 \nL 205.725678 106.519681 \nL 202.219185 106.982489 \nL 198.29027 107.958328 \nL 194.065233 109.358225 \nL 189.670614 111.081341 \nL 185.224589 113.02572 \nL 176.573672 117.216088 \nL 168.712932 121.362945 \nL 161.948365 125.170048 \nL 156.35734 128.557042 \nL 151.874706 131.566474 \nL 148.363871 134.286473 \nL 145.664022 136.804868 \nL 143.617204 139.189613 \nL 142.081677 141.485078 \nL 140.937016 143.715668 \nL 140.084577 145.891613 \nL 139.186333 149.055116 \nL 138.575134 152.087405 \nL 137.451648 159.43637 \nL 136.845325 162.69516 \nL 136.266254 164.971251 \nL 135.51899 167.11971 \nL 134.535198 169.15859 \nL 133.705243 170.466518 \nL 132.698189 171.739869 \nL 131.473587 172.983291 \nL 129.982041 174.199572 \nL 128.163336 175.388039 \nL 125.944454 176.54193 \nL 123.237712 177.644257 \nL 119.939557 178.661232 \nL 115.931056 179.532156 \nL 113.619963 179.882917 \nL 111.082102 180.15424 \nL 108.301329 180.323126 \nL 105.262893 180.360823 \nL 101.954646 180.231765 \nL 98.368683 179.892503 \nL 94.503488 179.290713 \nL 90.366708 178.364479 \nL 85.978569 177.04214 \nL 81.375924 175.243112 \nL 76.616785 172.88022 \nL 71.784929 169.86422 \nL 66.993908 166.111176 \nL 62.389382 161.553226 \nL 58.148303 156.152734 \nL 54.473364 149.91892 \nL 51.581204 142.924705 \nL 49.68389 135.31989 \nL 48.964864 127.335787 \nL 49.552724 119.276559 \nL 51.498329 111.494789 \nL 54.761356 104.353293 \nL 59.210808 98.179925 \nL 64.640465 93.225735 \nL 70.795766 89.636536 \nL 77.405538 87.444037 \nL 84.211323 86.576434 \nL 90.989041 86.883275 \nL 97.560822 88.166574 \nL 103.797822 90.210872 \nL 109.616498 92.807176 \nL 114.971285 95.768861 \nL 119.8461 98.939864 \nL 124.246266 102.196782 \nL 128.191682 105.446948 \nL 131.711473 108.624282 \nL 134.840032 111.684377 \nL 137.614206 114.5996 \nL 142.24826 119.943585 \nL 145.899656 124.62502 \nL 150.083747 130.490437 \nL 154.302903 136.458941 \nL 156.177501 138.763995 \nL 158.05114 140.661941 \nL 160.014335 142.170102 \nL 162.141503 143.292464 \nL 163.286101 143.706701 \nL 164.493554 144.020241 \nL 165.769513 144.230139 \nL 167.118787 144.3328 \nL 168.545258 144.32404 \nL 170.051742 144.199191 \nL 171.639827 143.953226 \nL 175.059617 143.077069 \nL 178.783247 141.655773 \nL 182.751274 139.660413 \nL 184.79504 138.444912 \nL 186.854374 137.087644 \nL 188.906037 135.595358 \nL 190.922598 133.97898 \nL 192.872504 132.254234 \nL 194.720439 130.442168 \nL 196.427951 128.569433 \nL 197.954489 126.668255 \nL 199.258795 124.775981 \nL 200.300672 122.934084 \nL 201.043051 121.186668 \nL 201.454218 119.578416 \nL 201.510041 118.152159 \nL 201.195957 116.946233 \nL 200.508484 115.991896 \nL 199.456053 115.311165 \nL 198.059002 114.915258 \nL 196.348714 114.80402 \nL 194.365906 114.966288 \nL 192.15832 115.381224 \nL 189.778024 116.020399 \nL 187.278612 116.850334 \nL 182.129212 118.939119 \nL 177.081378 121.373569 \nL 172.414031 123.933132 \nL 168.303037 126.471541 \nL 164.833893 128.910149 \nL 162.024999 131.218054 \nL 159.851861 133.390953 \nL 158.267254 135.434836 \nL 157.215941 137.355874 \nL 156.644362 139.15538 \nL 156.506403 140.828012 \nL 156.766367 142.361672 \nL 157.400093 143.737971 \nL 158.394845 144.932643 \nL 159.748398 145.91564 \nL 161.467459 146.650857 \nL 163.5654 147.095577 \nL 166.05905 147.19996 \nL 168.96415 146.906968 \nL 172.28887 146.153447 \nL 176.024761 144.873469 \nL 180.134605 143.005287 \nL 182.306566 141.835379 \nL 184.537197 140.503718 \nL 186.806681 139.010385 \nL 189.090387 137.359269 \nL 191.35854 135.558994 \nL 193.576079 133.623841 \nL 195.702825 131.574593 \nL 197.694024 129.43915 \nL 199.501346 127.252798 \nL 201.074429 125.057955 \nL 202.362933 122.903272 \nL 203.319117 120.84196 \nL 203.900732 118.929348 \nL 204.074038 117.219756 \nL 203.81665 115.76293 \nL 203.119847 114.600421 \nL 201.989995 113.762347 \nL 200.448883 113.264999 \nL 198.532789 113.109717 \nL 196.290383 113.283158 \nL 193.779679 113.758996 \nL 191.064423 114.50076 \nL 188.210294 115.465343 \nL 185.281412 116.606753 \nL 179.431146 119.241524 \nL 173.90319 122.09225 \nL 168.955189 124.941852 \nL 164.720727 127.671543 \nL 161.23785 130.23656 \nL 158.482001 132.635473 \nL 156.394329 134.885065 \nL 154.902425 137.004362 \nL 153.933895 139.006634 \nL 153.424355 140.896707 \nL 153.321562 142.671039 \nL 153.587076 144.318837 \nL 154.196435 145.823221 \nL 155.138513 147.161933 \nL 156.414432 148.30742 \nL 158.03617 149.226333 \nL 160.024831 149.878509 \nL 162.408338 150.215672 \nL 165.218119 150.1801 \nL 168.484145 149.703863 \nL 172.227427 148.709432 \nL 174.279522 147.991814 \nL 176.448947 147.113179 \nL 178.730138 146.063495 \nL 181.114055 144.833787 \nL 183.587446 143.416869 \nL 186.132069 141.808249 \nL 188.723934 140.007198 \nL 191.332621 138.017995 \nL 193.920762 135.851275 \nL 196.44383 133.525389 \nL 198.850349 131.06763 \nL 201.082669 128.515146 \nL 203.078466 125.915297 \nL 204.773033 123.325171 \nL 206.102388 120.810058 \nL 207.007082 118.440719 \nL 207.43647 116.289444 \nL 207.353011 114.425179 \nL 206.736112 112.908111 \nL 205.584917 111.784484 \nL 203.919561 111.08237 \nL 201.780585 110.809171 \nL 199.226476 110.951255 \nL 196.329596 111.475901 \nL 193.171082 112.335227 \nL 189.835361 113.47134 \nL 186.404981 114.821969 \nL 179.556438 117.9262 \nL 173.115076 121.23355 \nL 167.389678 124.471304 \nL 162.524279 127.506758 \nL 158.541755 130.30702 \nL 155.390213 132.892766 \nL 152.98027 135.303219 \nL 151.210591 137.575831 \nL 149.98343 139.737511 \nL 149.212995 141.802909 \nL 148.829199 143.775976 \nL 148.778644 145.652519 \nL 149.024142 147.422542 \nL 149.543571 149.07186 \nL 150.328557 150.582873 \nL 151.383244 151.934593 \nL 152.723248 153.101944 \nL 154.374758 154.054501 \nL 156.373653 154.754695 \nL 158.764325 155.155565 \nL 161.597773 155.198218 \nL 164.928197 154.809299 \nL 166.796207 154.425631 \nL 168.807078 153.899132 \nL 170.965184 153.216064 \nL 173.273182 152.361903 \nL 175.731335 151.32163 \nL 178.33671 150.08019 \nL 181.082236 148.623147 \nL 183.955627 146.9376 \nL 186.938178 145.013379 \nL 190.00352 142.844567 \nL 193.116389 140.431356 \nL 196.231553 137.782179 \nL 199.293092 134.915995 \nL 202.234243 131.864564 \nL 204.978102 128.674355 \nL 207.439462 125.407671 \nL 209.527992 122.142514 \nL 211.152876 118.970646 \nL 212.228809 115.993502 \nL 212.682917 113.31586 \nL 212.461913 111.037596 \nL 211.538482 109.244436 \nL 209.915809 107.999031 \nL 207.629279 107.333986 \nL 204.744825 107.24821 \nL 201.353948 107.707538 \nL 197.566156 108.649463 \nL 193.499986 109.991181 \nL 189.27399 111.639294 \nL 184.998963 113.499462 \nL 176.673841 117.519914 \nL 169.093448 121.523599 \nL 162.55375 125.227777 \nL 157.136265 128.548958 \nL 152.786512 131.519473 \nL 149.380102 134.216618 \nL 146.767574 136.719642 \nL 144.80067 139.090702 \nL 143.345713 141.370638 \nL 142.289032 143.581876 \nL 141.537846 145.733519 \nL 141.018806 147.826359 \nL 140.556078 150.846906 \nL 140.358663 153.708698 \nL 140.374159 157.249389 \nL 140.62915 160.452848 \nL 141.109337 163.305629 \nL 141.641903 165.20905 \nL 142.363979 166.902448 \nL 142.978725 167.908459 \nL 143.72652 168.808947 \nL 144.636275 169.594569 \nL 145.743734 170.251994 \nL 147.092836 170.762482 \nL 148.737278 171.099912 \nL 150.742202 171.22812 \nL 153.185821 171.097252 \nL 156.160566 170.638923 \nL 159.772978 169.760007 \nL 164.140881 168.335179 \nL 169.385323 166.199181 \nL 172.370936 164.800496 \nL 175.613073 163.141546 \nL 179.117437 161.189489 \nL 182.883464 158.910091 \nL 186.901877 156.269251 \nL 191.151715 153.235346 \nL 195.596897 149.782612 \nL 200.182457 145.895742 \nL 204.83077 141.575779 \nL 209.438291 136.847138 \nL 213.873598 131.765272 \nL 217.97781 126.423914 \nL 221.568585 120.960227 \nL 224.448852 115.555612 \nL 226.420933 110.429706 \nL 227.305689 105.825602 \nL 226.964829 101.986017 \nL 225.322696 99.122664 \nL 222.382847 97.384374 \nL 218.234527 96.831504 \nL 213.046268 97.424168 \nL 207.046937 99.028463 \nL 200.498237 101.439541 \nL 193.664898 104.415327 \nL 186.788825 107.711949 \nL 173.6652 114.446488 \nL 152.627534 125.40494 \nL 136.559784 133.670358 \nL 132.446943 136.040992 \nL 129.199325 138.177455 \nL 126.56362 140.185536 \nL 123.309759 143.062461 \nL 118.497304 147.5265 \nL 116.466231 149.136779 \nL 114.254911 150.595179 \nL 111.804431 151.856325 \nL 109.069783 152.865211 \nL 106.021728 153.554889 \nL 104.376404 153.755296 \nL 102.651336 153.844354 \nL 100.849805 153.809607 \nL 98.977457 153.637796 \nL 97.042674 153.315042 \nL 95.05696 152.827133 \nL 93.035335 152.159975 \nL 90.996671 151.300183 \nL 88.963938 150.235852 \nL 86.964338 148.957501 \nL 85.029206 147.459188 \nL 83.193658 145.739765 \nL 81.495915 143.804166 \nL 79.976235 141.664655 \nL 78.675469 139.341873 \nL 77.633237 136.865507 \nL 76.885821 134.274422 \nL 76.463937 131.616078 \nL 76.39054 128.945137 \nL 76.678945 126.321277 \nL 77.331447 123.8063 \nL 78.338693 121.460781 \nL 79.679874 119.340615 \nL 81.323766 117.49379 \nL 83.230512 115.957803 \nL 85.353956 114.757957 \nL 87.644245 113.906722 \nL 90.050435 113.4041 \nL 92.522865 113.238886 \nL 95.015131 113.390604 \nL 97.485514 113.831762 \nL 99.897914 114.53022 \nL 102.22227 115.451418 \nL 104.434566 116.560311 \nL 106.51653 117.822866 \nL 108.455116 119.207224 \nL 110.241857 120.684401 \nL 111.872167 122.228698 \nL 113.344638 123.81782 \nL 114.660383 125.432802 \nL 115.822433 127.057799 \nL 116.835204 128.679798 \nL 118.434841 131.87491 \nL 119.506788 134.957914 \nL 120.098597 137.89301 \nL 120.252088 140.660293 \nL 120.000109 143.249091 \nL 119.365117 145.652869 \nL 118.358974 147.865238 \nL 116.983688 149.87665 \nL 115.232887 151.67135 \nL 114.212939 152.480067 \nL 113.094148 153.224325 \nL 111.87457 153.89902 \nL 110.55239 154.498044 \nL 109.126115 155.014184 \nL 107.594817 155.439015 \nL 105.958412 155.762812 \nL 104.21799 155.974464 \nL 102.376202 156.061464 \nL 100.437695 156.009924 \nL 98.409603 155.804674 \nL 96.302075 155.429488 \nL 94.128832 154.867417 \nL 91.90771 154.101341 \nL 89.661172 153.114706 \nL 87.416699 151.8925 \nL 85.207006 150.422495 \nL 83.069994 148.696729 \nL 81.048336 146.71315 \nL 79.188611 144.477398 \nL 77.539918 142.004482 \nL 76.151942 139.320189 \nL 75.072506 136.461977 \nL 74.344762 133.479063 \nL 74.004202 130.431477 \nL 74.075836 127.388009 \nL 74.571826 124.422999 \nL 75.489961 121.612243 \nL 76.8132 119.02839 \nL 78.510392 116.736324 \nL 80.538143 114.789156 \nL 82.843597 113.225257 \nL 85.36778 112.066695 \nL 88.049117 111.319141 \nL 90.826732 110.97315 \nL 93.643246 111.006485 \nL 96.446889 111.38708 \nL 99.192862 112.076238 \nL 101.844002 113.031696 \nL 104.370849 114.210298 \nL 106.751265 115.570109 \nL 108.969753 117.07198 \nL 111.016591 118.680541 \nL 112.886914 120.364702 \nL 114.579801 122.097812 \nL 116.097414 123.857514 \nL 117.444228 125.625447 \nL 118.626364 127.386828 \nL 119.651022 129.129987 \nL 121.259376 132.527857 \nL 122.332796 135.771374 \nL 122.930369 138.836749 \nL 123.101718 141.714895 \nL 122.884488 144.404738 \nL 122.303479 146.908432 \nL 121.370794 149.227765 \nL 120.086637 151.361296 \nL 118.440584 153.30171 \nL 116.413355 155.033018 \nL 115.24895 155.812116 \nL 113.979329 156.527359 \nL 112.600908 157.172788 \nL 111.110261 157.741173 \nL 109.504364 158.223885 \nL 107.78087 158.610738 \nL 105.938464 158.889838 \nL 103.97727 159.047476 \nL 101.89935 159.068058 \nL 99.709269 158.934091 \nL 97.414751 158.626282 \nL 95.027396 158.123791 \nL 92.563441 157.404677 \nL 90.04453 156.446594 \nL 87.498415 155.227799 \nL 84.95953 153.728526 \nL 82.469286 151.932733 \nL 80.075983 149.830208 \nL 77.834169 147.418976 \nL 75.803314 144.707793 \nL 74.045707 141.718549 \nL 72.623527 138.488116 \nL 71.595235 135.069338 \nL 71.011475 131.530684 \nL 70.910915 127.95429 \nL 71.316537 124.432232 \nL 72.232897 121.061262 \nL 73.644843 117.936441 \nL 75.517965 115.144464 \nL 77.800788 112.757571 \nL 80.428432 110.828842 \nL 83.327231 109.389522 \nL 86.419697 108.448584 \nL 89.6292 107.994356 \nL 92.883907 107.997827 \nL 96.119691 108.416888 \nL 99.281927 109.200936 \nL 102.326244 110.295178 \nL 105.218467 111.644366 \nL 107.933904 113.19562 \nL 110.4563 114.900426 \nL 112.776567 116.715799 \nL 114.891497 118.604764 \nL 116.802518 120.536364 \nL 118.514579 122.485306 \nL 120.035168 124.431415 \nL 121.373498 126.358992 \nL 122.539828 128.256134 \nL 124.399604 131.926729 \nL 125.699588 135.40119 \nL 126.517432 138.664102 \nL 126.918313 141.715729 \nL 126.952765 144.564687 \nL 126.656204 147.223106 \nL 126.049392 149.703397 \nL 125.13932 152.016011 \nL 123.920222 154.167609 \nL 122.374628 156.159283 \nL 120.474485 157.984447 \nL 118.182568 159.626125 \nL 115.454595 161.053244 \nL 113.912136 161.671599 \nL 112.242718 162.215723 \nL 110.440763 162.675357 \nL 108.501397 163.038196 \nL 106.42087 163.289664 \nL 104.19708 163.412668 \nL 101.830209 163.387419 \nL 99.323492 163.191318 \nL 96.684123 162.798969 \nL 93.924285 162.182395 \nL 91.062285 161.311522 \nL 88.123737 160.155043 \nL 85.142714 158.681755 \nL 82.162724 156.862485 \nL 79.237317 154.672646 \nL 76.430134 152.09544 \nL 73.814053 149.125595 \nL 71.469266 145.773366 \nL 69.480036 142.068343 \nL 67.930112 138.062451 \nL 66.896971 133.831373 \nL 66.445367 129.473662 \nL 66.620958 125.106988 \nL 67.444904 120.86146 \nL 68.910459 116.870464 \nL 70.982246 113.260152 \nL 73.598511 110.139116 \nL 76.676082 107.589812 \nL 80.117275 105.663147 \nL 83.817627 104.37682 \nL 87.673352 103.717337 \nL 91.587588 103.644991 \nL 95.474921 104.100626 \nL 99.264022 105.012949 \nL 102.898569 106.305381 \nL 106.336841 107.901791 \nL 109.550387 109.730668 \nL 112.522206 111.727874 \nL 115.244735 113.838037 \nL 117.717866 116.014905 \nL 119.947155 118.221012 \nL 121.942261 120.42687 \nL 123.715647 122.609938 \nL 125.281525 124.753538 \nL 126.655029 126.845798 \nL 128.886391 130.847272 \nL 130.52869 134.582529 \nL 131.688814 138.048827 \nL 132.457074 141.259177 \nL 132.90597 144.234115 \nL 133.090798 146.99687 \nL 133.051121 149.570662 \nL 132.812525 151.97727 \nL 132.388272 154.236291 \nL 131.780667 156.364835 \nL 130.98202 158.377309 \nL 129.975204 160.285197 \nL 128.7338 162.096624 \nL 127.221914 163.81555 \nL 125.393766 165.440369 \nL 123.193245 166.961627 \nL 120.553758 168.358462 \nL 117.398958 169.593251 \nL 113.645316 170.603831 \nL 111.517243 170.996316 \nL 109.208175 171.292693 \nL 106.709323 171.472944 \nL 104.013834 171.512942 \nL 101.117767 171.383942 \nL 98.02134 171.052138 \nL 94.730461 170.478396 \nL 91.258571 169.618285 \nL 87.62877 168.422576 \nL 83.876168 166.83846 \nL 80.050271 164.811738 \nL 76.217147 162.290245 \nL 72.460961 159.228767 \nL 68.884289 155.595508 \nL 65.606584 151.379882 \nL 62.760083 146.601001 \nL 60.482726 141.315678 \nL 58.908 135.624155 \nL 58.152407 129.671584 \nL 58.302064 123.643384 \nL 59.400694 117.753547 \nL 61.441533 112.226568 \nL 64.365247 107.275388 \nL 68.064752 103.079386 \nL 72.396195 99.766655 \nL 77.193977 97.403957 \nL 82.286798 95.995789 \nL 87.511994 95.49168 \nL 92.726185 95.799232 \nL 97.811516 96.799586 \nL 102.677778 98.362422 \nL 107.261341 100.358344 \nL 111.522096 102.66781 \nL 115.439413 105.186412 \nL 119.007958 107.827171 \nL 122.233801 110.520587 \nL 125.131106 113.213242 \nL 127.71944 115.865662 \nL 130.021684 118.449912 \nL 132.062455 120.947261 \nL 135.460136 125.640035 \nL 138.107969 129.906401 \nL 140.183692 133.754637 \nL 142.55441 138.808103 \nL 146.563821 147.832147 \nL 147.681328 149.815276 \nL 148.898954 151.559746 \nL 150.269618 153.067172 \nL 151.845531 154.330587 \nL 153.680458 155.333459 \nL 155.831355 156.048267 \nL 158.35915 156.43461 \nL 161.328269 156.436904 \nL 164.804215 155.981959 \nL 166.751745 155.554861 \nL 168.848071 154.977181 \nL 171.098473 154.234343 \nL 173.506336 153.31082 \nL 176.07242 152.190455 \nL 178.793977 150.856958 \nL 181.663711 149.294654 \nL 184.668567 147.489493 \nL 187.788397 145.430413 \nL 190.994558 143.111069 \nL 194.248516 140.53193 \nL 197.500662 137.702719 \nL 200.689511 134.64503 \nL 203.741582 131.39489 \nL 206.572282 128.004886 \nL 209.088104 124.545338 \nL 211.190424 121.103941 \nL 212.780948 117.78324 \nL 213.768689 114.695603 \nL 214.077903 111.95555 \nL 213.656121 109.670046 \nL 212.481028 107.92786 \nL 210.564946 106.789727 \nL 207.955853 106.281144 \nL 204.734449 106.389473 \nL 201.007573 107.066014 \nL 196.898952 108.232776 \nL 192.538817 109.792547 \nL 188.054053 111.640236 \nL 183.56011 113.67346 \nL 174.918984 117.947325 \nL 167.165676 122.088732 \nL 160.557413 125.846727 \nL 155.135252 129.173963 \nL 150.811512 132.130652 \nL 147.437822 134.811076 \nL 144.848628 137.30281 \nL 142.885287 139.670958 \nL 141.40741 141.956638 \nL 140.296699 144.181582 \nL 139.456674 146.354237 \nL 138.540397 149.515229 \nL 137.676419 153.526926 \nL 136.369708 159.917793 \nL 135.681261 162.409239 \nL 134.814469 164.765017 \nL 133.68951 167.000067 \nL 132.748072 168.431094 \nL 131.611771 169.820058 \nL 130.236609 171.169904 \nL 128.569397 172.480846 \nL 126.545957 173.748267 \nL 124.089405 174.959414 \nL 121.108858 176.088252 \nL 117.499343 177.087568 \nL 113.144323 177.877156 \nL 110.649399 178.155139 \nL 107.923417 178.326744 \nL 104.953538 178.364066 \nL 101.729654 178.232884 \nL 98.245949 177.891742 \nL 94.502922 177.291157 \nL 90.509941 176.373104 \nL 86.288363 175.071065 \nL 81.875164 173.311011 \nL 77.326922 171.013761 \nL 72.723786 168.099312 \nL 68.172786 164.493682 \nL 63.809559 160.138628 \nL 59.797249 155.00418 \nL 56.321191 149.103106 \nL 53.578263 142.505312 \nL 51.760563 135.348875 \nL 51.034403 127.843687 \nL 51.517617 120.263763 \nL 53.259619 112.926328 \nL 56.229326 106.159135 \nL 60.314795 100.26165 \nL 65.335551 95.468429 \nL 71.065014 91.923219 \nL 77.257774 89.669212 \nL 83.675639 88.656017 \nL 90.107756 88.759524 \nL 96.382598 89.808267 \nL 102.372029 91.609911 \nL 107.989305 93.973316 \nL 113.183411 96.724008 \nL 117.931877 99.712883 \nL 122.233615 102.819404 \nL 126.102606 105.950848 \nL 129.562797 109.039243 \nL 132.644202 112.037267 \nL 135.380054 114.91399 \nL 139.952743 120.238767 \nL 143.549595 124.959559 \nL 146.415382 129.095605 \nL 153.452271 139.673888 \nL 155.195452 141.761809 \nL 157.011222 143.482643 \nL 158.977211 144.842535 \nL 160.037719 145.385572 \nL 161.160013 145.834912 \nL 162.350992 146.187759 \nL 163.617 146.440538 \nL 164.963783 146.588913 \nL 166.396397 146.627828 \nL 167.919096 146.551567 \nL 169.535146 146.353822 \nL 171.24661 146.027832 \nL 173.054067 145.566536 \nL 174.956275 144.962815 \nL 176.949772 144.209799 \nL 179.028432 143.301259 \nL 181.18297 142.232109 \nL 183.400422 140.999028 \nL 185.663623 139.601167 \nL 187.950725 138.041001 \nL 190.234813 136.325227 \nL 192.48368 134.4657 \nL 194.659857 132.480331 \nL 196.720971 130.393828 \nL 198.620531 128.238144 \nL 200.309211 126.052493 \nL 201.736674 123.882772 \nL 202.853907 121.780268 \nL 203.615973 119.799569 \nL 203.985002 117.995775 \nL 203.933141 116.421101 \nL 203.445144 115.12126 \nL 202.520243 114.13201 \nL 201.173014 113.476324 \nL 199.433032 113.16264 \nL 197.343332 113.184475 \nL 194.957775 113.521453 \nL 192.337663 114.141657 \nL 189.548003 115.004858 \nL 186.653836 116.066182 \nL 180.793686 118.601713 \nL 175.173895 121.419374 \nL 170.083138 124.278537 \nL 165.682085 127.039006 \nL 162.028569 129.64122 \nL 159.110398 132.075838 \nL 156.875083 134.356849 \nL 155.252347 136.503493 \nL 154.16923 138.530622 \nL 153.559242 140.445 \nL 153.367274 142.244884 \nL 153.551741 143.921005 \nL 154.085048 145.457762 \nL 154.953106 146.834043 \nL 156.154324 148.023473 \nL 157.698287 148.994023 \nL 159.604102 149.70712 \nL 161.898241 150.11637 \nL 164.611482 150.16625 \nL 167.774351 149.791146 \nL 171.410264 148.915628 \nL 173.408551 148.264549 \nL 175.525294 147.457177 \nL 177.756161 146.483253 \nL 180.093651 145.333333 \nL 182.52638 143.999437 \nL 185.038324 142.475868 \nL 187.608039 140.760213 \nL 190.207954 138.854509 \nL 192.803772 136.766555 \nL 195.354121 134.511264 \nL 197.810563 132.111965 \nL 200.118119 129.601467 \nL 202.216451 127.02266 \nL 204.041788 124.42843 \nL 205.529693 121.880598 \nL 206.618569 119.447711 \nL 207.253755 117.201636 \nL 207.391842 115.213048 \nL 207.00476 113.546218 \nL 206.083044 112.253671 \nL 204.6378 111.371492 \nL 202.700912 110.916018 \nL 200.323378 110.88255 \nL 197.571893 111.246338 \nL 194.524147 111.965666 \nL 191.263456 112.98655 \nL 187.873399 114.248253 \nL 184.433143 115.688729 \nL 177.676019 118.878171 \nL 171.430044 122.178807 \nL 165.953212 125.360956 \nL 161.350348 128.325083 \nL 157.619114 131.057511 \nL 154.694297 133.586607 \nL 152.481601 135.952149 \nL 150.880026 138.188778 \nL 149.795058 140.319681 \nL 149.14551 142.356079 \nL 148.866329 144.299229 \nL 148.909087 146.142967 \nL 149.241248 147.875862 \nL 149.844964 149.482564 \nL 150.71576 150.944347 \nL 151.861363 152.238908 \nL 153.300695 153.339493 \nL 155.062991 154.213443 \nL 157.186824 154.820281 \nL 159.718734 155.109345 \nL 162.710879 155.017226 \nL 166.216907 154.4654 \nL 168.178134 153.988056 \nL 170.284834 153.358909 \nL 172.54021 152.563737 \nL 174.945298 151.587729 \nL 177.498223 150.415882 \nL 180.193296 149.033593 \nL 183.019984 147.427479 \nL 185.961759 145.58647 \nL 188.994863 143.503232 \nL 192.087074 141.175897 \nL 195.196582 138.61009 \nL 198.271135 135.821179 \nL 201.247699 132.836556 \nL 204.052854 129.697662 \nL 206.604241 126.461407 \nL 208.813276 123.20048 \nL 210.589297 120.002032 \nL 211.845103 116.964333 \nL 212.503589 114.191181 \nL 212.504861 111.784285 \nL 211.8129 109.834284 \nL 210.420773 108.411674 \nL 208.353289 107.559084 \nL 205.666473 107.286493 \nL 202.443651 107.570416 \nL 198.788683 108.357334 \nL 194.817379 109.570725 \nL 190.648451 111.12032 \nL 186.395279 112.911825 \nL 178.026698 116.87312 \nL 170.323637 120.890791 \nL 163.623457 124.644003 \nL 158.038177 128.021578 \nL 153.531831 131.041229 \nL 149.989204 133.775422 \nL 147.26391 136.304044 \nL 145.207275 138.692057 \nL 143.683491 140.983392 \nL 142.576096 143.202972 \nL 141.789488 145.361623 \nL 141.247785 147.461122 \nL 140.770521 150.491843 \nL 140.577619 153.363893 \nL 140.585593 156.059609 \nL 140.837106 159.357375 \nL 141.19187 161.597434 \nL 141.702671 163.630383 \nL 142.402822 165.448277 \nL 143.000416 166.534594 \nL 143.727306 167.513623 \nL 144.61076 168.376613 \nL 145.684623 169.11111 \nL 146.990566 169.699617 \nL 148.579552 170.117745 \nL 150.51343 170.331739 \nL 152.86649 170.295096 \nL 155.726637 169.944087 \nL 159.195468 169.191982 \nL 163.385988 167.922087 \nL 168.415711 165.980313 \nL 171.279743 164.697619 \nL 174.391456 163.169636 \nL 177.757776 161.365255 \nL 181.38022 159.251733 \nL 185.252701 156.79594 \nL 189.358856 153.966328 \nL 193.668898 150.735824 \nL 198.136107 147.085794 \nL 202.693193 143.011253 \nL 207.248957 138.527203 \nL 211.685904 133.675769 \nL 215.859734 128.533378 \nL 219.601793 123.216551 \nL 222.725639 117.884435 \nL 225.038556 112.735776 \nL 226.3581 107.998182 \nL 226.532442 103.908746 \nL 225.461816 100.68711 \nL 223.116798 98.504959 \nL 219.548893 97.458456 \nL 214.889675 97.550952 \nL 209.337588 98.691466 \nL 203.134726 100.710102 \nL 196.5387 103.386493 \nL 189.795776 106.48358 \nL 183.12021 109.778616 \nL 164.965539 119.227859 \nL 136.097396 134.339368 \nL 132.292966 136.669377 \nL 129.273663 138.804228 \nL 126.802258 140.831787 \nL 123.70434 143.753577 \nL 119.952894 147.430399 \nL 117.995228 149.131417 \nL 115.873085 150.698813 \nL 113.521926 152.091686 \nL 110.889627 153.260098 \nL 107.937425 154.142554 \nL 106.33371 154.45347 \nL 104.643456 154.663183 \nL 102.867646 154.759614 \nL 101.009321 154.729615 \nL 99.07395 154.559078 \nL 97.069859 154.233094 \nL 95.008668 153.736274 \nL 92.905728 153.053173 \nL 90.780534 152.16894 \nL 88.657029 151.070118 \nL 86.563793 149.745676 \nL 84.533982 148.18824 \nL 82.605008 146.395478 \nL 80.817838 144.37155 \nL 79.215853 142.128549 \nL 77.843295 139.687726 \nL 76.743251 137.080301 \nL 75.955328 134.347691 \nL 75.513132 131.540916 \nL 75.441812 128.719088 \nL 75.755923 125.946974 \nL 76.457879 123.291756 \nL 77.537247 120.819249 \nL 78.970988 118.589989 \nL 80.724668 116.655621 \nL 82.754502 115.056009 \nL 85.010025 113.817416 \nL 87.437025 112.951861 \nL 89.980451 112.457648 \nL 92.587038 112.320923 \nL 95.207418 112.517928 \nL 97.797643 113.017582 \nL 100.320101 113.784169 \nL 102.743879 114.779773 \nL 105.044679 115.966389 \nL 107.204408 117.307518 \nL 109.210545 118.769331 \nL 111.055393 120.321382 \nL 112.73529 121.936947 \nL 114.249839 123.593089 \nL 115.601189 125.270514 \nL 116.793389 126.953297 \nL 117.83183 128.628526 \nL 118.722769 130.285926 \nL 120.089196 133.516985 \nL 120.946804 136.602818 \nL 121.345213 139.520023 \nL 121.325231 142.257542 \nL 120.916732 144.810744 \nL 120.137997 147.176981 \nL 118.996042 149.352104 \nL 117.487659 151.327429 \nL 115.601116 153.086849 \nL 114.510627 153.877762 \nL 113.318643 154.60369 \nL 112.022593 155.259083 \nL 110.620076 155.837277 \nL 109.109064 156.330371 \nL 107.48818 156.729101 \nL 105.756997 157.022745 \nL 103.916418 157.199026 \nL 101.969102 157.244082 \nL 99.91996 157.142484 \nL 97.776707 156.877353 \nL 95.550475 156.430607 \nL 93.256433 155.783368 \nL 90.914428 154.916583 \nL 88.549532 153.811899 \nL 86.192495 152.452814 \nL 83.879964 150.826145 \nL 81.65436 148.923745 \nL 79.563344 146.744458 \nL 77.658713 144.296159 \nL 75.994688 141.597653 \nL 74.625562 138.680209 \nL 73.602769 135.588405 \nL 72.97158 132.379942 \nL 72.767696 129.124219 \nL 73.014115 125.899548 \nL 73.718714 122.789083 \nL 74.872896 119.875829 \nL 76.451573 117.237256 \nL 78.414543 114.940148 \nL 80.709114 113.036425 \nL 83.273648 111.560349 \nL 86.041536 110.527519 \nL 88.945184 109.935545 \nL 91.919525 109.766167 \nL 94.904835 109.988394 \nL 97.848675 110.562149 \nL 100.706966 111.441894 \nL 103.444322 112.579961 \nL 106.033775 113.929254 \nL 108.456101 115.445298 \nL 110.69888 117.087604 \nL 112.755455 118.820416 \nL 114.623871 120.613007 \nL 116.30588 122.439588 \nL 117.806031 124.278996 \nL 119.130895 126.114246 \nL 120.288389 127.931995 \nL 121.287227 129.721999 \nL 122.845224 133.190366 \nL 123.875874 136.481368 \nL 124.442932 139.579189 \nL 124.598654 142.481138 \nL 124.381891 145.191324 \nL 123.817651 147.716238 \nL 122.917505 150.061587 \nL 121.680462 152.229759 \nL 120.094152 154.217466 \nL 118.136335 156.01324 \nL 115.776949 157.594392 \nL 114.43585 158.29341 \nL 112.981138 158.923214 \nL 111.408474 159.475973 \nL 109.713938 159.942285 \nL 107.894342 160.310991 \nL 105.947607 160.569006 \nL 103.873228 160.701161 \nL 101.67283 160.690104 \nL 99.350818 160.516263 \nL 96.915128 160.157932 \nL 94.378065 159.591535 \nL 91.757189 158.792108 \nL 89.076239 157.734107 \nL 86.365973 156.392562 \nL 83.664844 154.744687 \nL 81.019376 152.77196 \nL 78.484056 150.462641 \nL 76.12055 147.814657 \nL 73.996089 144.838595 \nL 72.180877 141.560549 \nL 70.744544 138.024281 \nL 69.75172 134.292233 \nL 69.257134 130.44484 \nL 69.300728 126.577816 \nL 69.903415 122.797283 \nL 71.064228 119.213088 \nL 72.759333 115.930976 \nL 74.943214 113.044668 \nL 77.551924 110.628987 \nL 80.507939 108.735005 \nL 83.725911 107.387811 \nL 87.118512 106.587028 \nL 90.601683 106.30971 \nL 94.098754 106.514919 \nL 97.543238 107.149139 \nL 100.880268 108.151682 \nL 104.066903 109.459523 \nL 107.071573 111.011197 \nL 109.872928 112.749605 \nL 112.458413 114.623727 \nL 114.822716 116.5895 \nL 116.96628 118.609963 \nL 118.893936 120.65494 \nL 120.613711 122.700418 \nL 122.135828 124.72779 \nL 123.471881 126.723038 \nL 124.634177 128.675954 \nL 126.487326 132.428791 \nL 127.791285 135.955871 \nL 128.631389 139.2512 \nL 129.078262 142.322539 \nL 129.186463 145.184504 \nL 128.994639 147.85425 \nL 128.526425 150.348795 \nL 127.791576 152.683287 \nL 126.787075 154.869718 \nL 125.498051 156.915779 \nL 123.898531 158.823467 \nL 121.952113 160.587221 \nL 119.612837 162.191231 \nL 116.826666 163.605567 \nL 115.247551 164.227099 \nL 113.534313 164.780769 \nL 111.679581 165.256155 \nL 109.676518 165.640608 \nL 107.519251 165.918929 \nL 105.203402 166.073066 \nL 102.726767 166.081799 \nL 100.090154 165.920511 \nL 97.298399 165.561059 \nL 94.361559 164.97184 \nL 91.296265 164.118143 \nL 88.127205 162.962912 \nL 84.888649 161.468057 \nL 81.62583 159.59647 \nL 78.396049 157.314875 \nL 75.269121 154.597523 \nL 72.32689 151.430766 \nL 69.661402 147.818141 \nL 67.371424 143.78553 \nL 65.557169 139.385568 \nL 64.31331 134.700308 \nL 63.720874 129.84103 \nL 63.838899 124.944382 \nL 64.697158 120.164453 \nL 66.291303 115.661349 \nL 68.581529 111.587656 \nL 71.495212 108.074872 \nL 74.93324 105.222107 \nL 78.77893 103.088978 \nL 82.908015 101.693567 \nL 87.198167 101.015411 \nL 91.536751 101.00229 \nL 95.826202 101.579244 \nL 99.986873 102.658119 \nL 103.957675 104.146182 \nL 107.695113 105.953085 \nL 111.17126 107.995713 \nL 114.371261 110.201092 \nL 117.290727 112.507622 \nL 119.933304 114.865088 \nL 122.308523 117.233867 \nL 124.430014 119.58368 \nL 126.314051 121.892166 \nL 127.978419 124.143453 \nL 130.721833 128.435796 \nL 132.804844 132.418258 \nL 134.359973 136.086508 \nL 135.501669 139.456165 \nL 136.3247 142.551914 \nL 137.123178 146.742283 \nL 137.559667 150.468095 \nL 137.782752 154.846237 \nL 137.737785 158.683103 \nL 137.490633 162.089136 \nL 137.042711 165.149035 \nL 136.54752 167.258835 \nL 135.874172 169.23917 \nL 134.965244 171.114854 \nL 134.189521 172.318965 \nL 133.242235 173.493745 \nL 132.08446 174.644949 \nL 130.668147 175.776707 \nL 128.93424 176.890148 \nL 126.810577 177.981071 \nL 124.209782 179.036155 \nL 121.027584 180.026865 \nL 117.142511 180.899882 \nL 112.418731 181.562464 \nL 109.698043 181.769948 \nL 106.715424 181.860912 \nL 103.456013 181.801746 \nL 99.908414 181.550927 \nL 96.066723 181.057827 \nL 91.933177 180.261707 \nL 87.521527 179.091128 \nL 82.861134 177.464194 \nL 78.001741 175.290118 \nL 73.018595 172.472884 \nL 68.017355 168.917721 \nL 63.137773 164.541164 \nL 58.554673 159.285048 \nL 54.474454 153.133971 \nL 51.125227 146.134394 \nL 48.73944 138.411721 \nL 47.529412 130.180156 \nL 47.658552 121.7395 \nL 49.213762 113.45475 \nL 52.185994 105.718582 \nL 56.465128 98.902535 \nL 61.8519 93.307783 \nL 68.084524 89.12769 \nL 74.873247 86.430985 \nL 81.934395 85.167755 \nL 89.017044 85.1937 \nL 95.918813 86.303897 \nL 102.490984 88.267205 \nL 108.63556 90.854789 \nL 114.297571 93.85972 \nL 119.455656 97.107623 \nL 124.112901 100.460024 \nL 128.289017 103.812758 \nL 132.014213 107.091575 \nL 135.32467 110.24668 \nL 138.259358 113.24722 \nL 143.159105 118.727305 \nL 147.016291 123.498371 \nL 151.427815 129.422831 \nL 155.85393 135.363513 \nL 157.806824 137.620466 \nL 159.747333 139.452115 \nL 161.767278 140.87824 \nL 163.940163 141.905016 \nL 165.102553 142.267134 \nL 166.323613 142.526162 \nL 167.608173 142.679622 \nL 168.960051 142.724496 \nL 170.381947 142.657317 \nL 173.44017 142.171547 \nL 176.77612 141.191487 \nL 180.352867 139.69149 \nL 184.094405 137.661796 \nL 187.876668 135.122842 \nL 189.729528 133.681177 \nL 191.521427 132.142113 \nL 193.221833 130.524071 \nL 194.797672 128.850058 \nL 196.214164 127.14762 \nL 197.435962 125.448479 \nL 198.428553 123.787752 \nL 199.159914 122.202793 \nL 199.602284 120.73161 \nL 199.733961 119.410976 \nL 199.54091 118.274377 \nL 199.018054 117.349952 \nL 198.170067 116.658716 \nL 197.011535 116.213198 \nL 195.566449 116.016783 \nL 193.867056 116.063744 \nL 191.95216 116.340038 \nL 189.865067 116.824721 \nL 187.651373 117.491791 \nL 183.025218 119.256196 \nL 178.408733 121.399948 \nL 174.068415 123.721565 \nL 170.186053 126.075565 \nL 166.863636 128.373353 \nL 164.139873 130.570484 \nL 162.009953 132.65005 \nL 160.443455 134.608312 \nL 159.398313 136.444749 \nL 158.830576 138.156423 \nL 158.700617 139.735358 \nL 158.976616 141.167717 \nL 159.636084 142.433775 \nL 160.666039 143.5081 \nL 162.062152 144.359622 \nL 163.827057 144.951515 \nL 165.967737 145.241084 \nL 168.491824 145.179895 \nL 171.402402 144.714722 \nL 174.690934 143.789981 \nL 178.327893 142.352775 \nL 182.251104 140.361655 \nL 186.352547 137.800258 \nL 188.420668 136.311946 \nL 190.465899 134.69591 \nL 192.45712 132.965964 \nL 194.35923 131.14128 \nL 196.133697 129.246788 \nL 197.73946 127.31325 \nL 199.134212 125.376947 \nL 200.276117 123.478862 \nL 201.125819 121.663288 \nL 201.648719 119.975897 \nL 201.817289 118.461336 \nL 201.613222 117.160518 \nL 201.029185 116.107905 \nL 200.069912 115.329083 \nL 198.752487 114.838911 \nL 197.105708 114.640627 \nL 195.168579 114.725892 \nL 192.988085 115.075927 \nL 190.616469 115.66343 \nL 188.108359 116.455154 \nL 185.517984 117.414636 \nL 180.29141 119.69056 \nL 175.284615 122.225342 \nL 170.742857 124.820567 \nL 166.808265 127.354688 \nL 163.538573 129.769126 \nL 160.932404 132.045983 \nL 158.952997 134.187578 \nL 157.546827 136.202058 \nL 156.656602 138.095169 \nL 156.229476 139.866639 \nL 156.221701 141.509209 \nL 156.600822 143.00891 \nL 157.346275 144.345631 \nL 158.448949 145.493466 \nL 159.910051 146.420687 \nL 161.739349 147.089331 \nL 163.952696 147.454548 \nL 166.568558 147.464074 \nL 169.603032 147.05825 \nL 173.062741 146.171506 \nL 176.934928 144.73634 \nL 181.174243 142.691523 \nL 183.404528 141.426404 \nL 185.686476 139.996217 \nL 187.997777 138.402557 \nL 190.310987 136.651353 \nL 192.59326 134.753829 \nL 194.806325 132.727461 \nL 196.906814 130.596749 \nL 198.847022 128.39374 \nL 200.576191 126.158075 \nL 202.042358 123.936451 \nL 203.194736 121.781315 \nL 203.986566 119.74876 \nL 204.378227 117.895626 \nL 204.340321 116.275987 \nL 203.856405 114.937354 \nL 202.925003 113.91703 \nL 201.560538 113.239112 \nL 199.793047 112.912601 \nL 197.666581 112.930953 \nL 195.23648 113.273137 \nL 192.565852 113.906066 \nL 189.721661 114.787986 \nL 186.770901 115.872339 \nL 180.798286 118.46022 \nL 175.075626 121.329802 \nL 169.897411 124.234036 \nL 165.425694 127.030782 \nL 161.716775 129.661455 \nL 158.755475 132.118981 \nL 156.485894 134.419781 \nL 154.834501 136.585145 \nL 153.725495 138.631485 \nL 153.090025 140.56668 \nL 152.871069 142.389834 \nL 153.025513 144.092403 \nL 153.524558 145.6595 \nL 154.35319 147.070837 \nL 155.509165 148.301003 \nL 157.001731 149.319115 \nL 158.850082 150.087927 \nL 161.081389 150.562492 \nL 163.728046 150.6887 \nL 166.823556 150.402028 \nL 170.396247 149.627308 \nL 172.366719 149.030914 \nL 174.459776 148.28059 \nL 176.672565 147.365435 \nL 178.999318 146.275076 \nL 181.430626 145.000255 \nL 183.952673 143.533602 \nL 186.546411 141.870588 \nL 189.186776 140.010662 \nL 191.841971 137.958562 \nL 194.472942 135.725744 \nL 197.033174 133.331799 \nL 199.468946 130.805749 \nL 201.720199 128.186954 \nL 203.722171 125.525445 \nL 205.407875 122.881312 \nL 206.711445 120.322986 \nL 207.572195 117.924233 \nL 207.939129 115.759878 \nL 207.775441 113.900553 \nL 207.062436 112.406986 \nL 205.802276 111.32462 \nL 204.019049 110.679368 \nL 201.757848 110.475266 \nL 199.081887 110.694506 \nL 196.068011 111.29985 \nL 192.801207 112.23905 \nL 189.368836 113.450453 \nL 185.85535 114.868959 \nL 178.883764 118.08059 \nL 172.373142 121.456653 \nL 166.620994 124.731819 \nL 161.757643 127.78435 \nL 157.7935 130.591213 \nL 154.666965 133.17999 \nL 152.281803 135.5939 \nL 150.532175 137.872292 \nL 149.317538 140.042755 \nL 148.550438 142.120096 \nL 148.159799 144.108313 \nL 148.091586 146.003409 \nL 148.308097 147.79584 \nL 148.786678 149.472188 \nL 149.518321 151.015995 \nL 150.506415 152.407784 \nL 151.765725 153.624451 \nL 153.321598 154.638015 \nL 155.209259 155.413907 \nL 157.472962 155.908732 \nL 160.164593 156.067663 \nL 163.341081 155.82164 \nL 167.059657 155.084899 \nL 169.138254 154.500813 \nL 171.369553 153.753871 \nL 173.756215 152.828704 \nL 176.298286 151.709438 \nL 178.992328 150.380216 \nL 181.830383 148.825914 \nL 184.798803 147.033174 \nL 187.876947 144.991724 \nL 191.035841 142.696086 \nL 194.236859 140.147617 \nL 197.430616 137.356847 \nL 200.556273 134.345983 \nL 203.541497 131.151318 \nL 206.303438 127.825187 \nL 208.750946 124.436958 \nL 210.788336 121.072535 \nL 212.320719 117.831783 \nL 213.260731 114.823541 \nL 213.536164 112.158189 \nL 213.097557 109.938336 \nL 211.924691 108.248699 \nL 210.030717 107.146848 \nL 207.462997 106.656514 \nL 204.300194 106.764941 \nL 200.645926 107.424984 \nL 196.619935 108.561607 \nL 192.348201 110.081424 \nL 187.953549 111.883453 \nL 183.547941 113.869182 \nL 175.068147 118.054533 \nL 167.447186 122.127289 \nL 160.940935 125.839515 \nL 155.595045 129.139758 \nL 151.328556 132.081929 \nL 147.999794 134.754634 \nL 145.449024 137.241338 \nL 143.522372 139.604565 \nL 142.083325 141.883996 \nL 141.0168 144.100619 \nL 140.229121 146.262498 \nL 139.412407 149.402212 \nL 138.874901 152.406189 \nL 138.181088 157.952169 \nL 137.429888 163.609698 \nL 136.827383 166.480653 \nL 136.215261 168.487074 \nL 135.404062 170.388145 \nL 134.319247 172.204134 \nL 133.395746 173.377667 \nL 132.268469 174.527982 \nL 130.89044 175.659211 \nL 129.204036 176.772821 \nL 127.138873 177.865414 \nL 124.609663 178.925156 \nL 121.514409 179.926054 \nL 117.733807 180.818935 \nL 113.133491 181.517599 \nL 110.481642 181.752154 \nL 107.572199 181.878311 \nL 104.389593 181.864424 \nL 100.921259 181.671255 \nL 97.159505 181.250771 \nL 93.103983 180.545065 \nL 88.76485 179.485615 \nL 84.166692 177.993238 \nL 79.353107 175.979238 \nL 74.391804 173.348407 \nL 69.379659 170.004633 \nL 64.446864 165.859939 \nL 59.758844 160.847394 \nL 55.514191 154.93778 \nL 51.936702 148.158546 \nL 49.260123 140.611959 \nL 47.705418 132.487573 \nL 47.45268 124.063181 \nL 48.612496 115.68936 \nL 51.20351 107.756277 \nL 55.142853 100.646976 \nL 60.253406 94.686899 \nL 66.286973 90.102036 \nL 72.95751 86.995811 \nL 79.976225 85.349045 \nL 87.080822 85.039976 \nL 94.054429 85.876458 \nL 100.733469 87.63101 \nL 107.006587 90.071482 \nL 112.807915 92.983244 \nL 118.107857 96.182184 \nL 122.903691 99.51984 \nL 127.211315 102.882913 \nL 131.058636 106.189431 \nL 134.480621 109.383451 \nL 137.515779 112.429462 \nL 142.583752 118.007671 \nL 146.568774 122.874568 \nL 151.108096 128.926234 \nL 155.613754 135.004454 \nL 157.577885 137.320032 \nL 159.515409 139.206225 \nL 161.520905 140.684759 \nL 163.670145 141.763647 \nL 164.817893 142.152229 \nL 166.02275 142.438254 \nL 167.289796 142.619413 \nL 168.62311 142.692833 \nL 170.02568 142.65518 \nL 173.044335 142.231688 \nL 176.342269 141.318234 \nL 179.886844 139.888206 \nL 183.607587 137.929301 \nL 187.387138 135.457356 \nL 189.247725 134.045708 \nL 191.054624 132.532955 \nL 192.778121 130.936344 \nL 194.385812 129.277669 \nL 195.843351 127.583278 \nL 197.115516 125.883804 \nL 198.167545 124.213495 \nL 198.966725 122.609158 \nL 199.484139 121.10868 \nL 199.696453 119.749218 \nL 199.587598 118.56518 \nL 199.150138 117.586166 \nL 198.386213 116.835084 \nL 197.307849 116.326691 \nL 195.936644 116.066738 \nL 194.30277 116.051815 \nL 192.443409 116.269965 \nL 190.400783 116.701933 \nL 188.21997 117.322944 \nL 183.625394 119.017413 \nL 179.000069 121.119956 \nL 174.620153 123.423663 \nL 170.678147 125.775693 \nL 167.285534 128.080717 \nL 164.488226 130.289441 \nL 162.286184 132.382139 \nL 160.65167 134.353857 \nL 159.543719 136.203938 \nL 158.918409 137.929846 \nL 158.735466 139.524252 \nL 158.962051 140.974027 \nL 159.574511 142.260159 \nL 160.558692 143.35791 \nL 161.909217 144.236901 \nL 163.627884 144.861046 \nL 165.721186 145.188406 \nL 168.196746 145.17129 \nL 171.058328 144.757063 \nL 174.299017 143.890399 \nL 177.892156 142.517926 \nL 181.779964 140.596508 \nL 185.860503 138.106209 \nL 187.925934 136.652194 \nL 189.975016 135.068323 \nL 191.977673 133.367229 \nL 193.89979 131.566761 \nL 195.703678 129.690432 \nL 197.348891 127.767573 \nL 198.793422 125.83312 \nL 199.995298 123.926931 \nL 200.914537 122.092522 \nL 201.515358 120.37528 \nL 201.768489 118.820155 \nL 201.653371 117.469024 \nL 201.160014 116.357961 \nL 200.290262 115.514712 \nL 199.058261 114.956738 \nL 197.490056 114.690042 \nL 195.622283 114.708992 \nL 193.500099 114.997226 \nL 191.174577 115.52937 \nL 188.699839 116.273493 \nL 186.130256 117.193812 \nL 180.910718 119.416445 \nL 175.873563 121.926633 \nL 171.276236 124.517437 \nL 167.27228 127.058758 \nL 163.928326 129.485565 \nL 161.249015 131.776074 \nL 159.201047 133.930848 \nL 157.732438 135.957674 \nL 156.786116 137.862696 \nL 156.308638 139.646324 \nL 156.255202 141.302045 \nL 156.592086 142.816588 \nL 157.297404 144.170486 \nL 158.360776 145.338447 \nL 159.78226 146.289387 \nL 161.570663 146.986035 \nL 163.741155 147.384339 \nL 166.311906 147.432893 \nL 169.299288 147.072906 \nL 172.711024 146.239481 \nL 176.536616 144.865293 \nL 180.734515 142.888301 \nL 182.947729 141.658958 \nL 185.21618 140.265132 \nL 187.518576 138.7077 \nL 189.828584 136.991663 \nL 192.114539 135.127113 \nL 194.33935 133.130178 \nL 196.460769 131.023847 \nL 198.43204 128.838539 \nL 200.203087 126.612263 \nL 201.722226 124.390203 \nL 202.938436 122.223582 \nL 203.804119 120.167728 \nL 204.278147 118.279343 \nL 204.328977 116.613109 \nL 203.937455 115.21794 \nL 203.098977 114.133304 \nL 201.824676 113.386065 \nL 200.14138 112.988349 \nL 198.090278 112.936787 \nL 195.724427 113.213287 \nL 193.105385 113.787166 \nL 190.299356 114.618358 \nL 187.373342 115.66123 \nL 181.413201 118.193913 \nL 175.663133 121.039961 \nL 170.431199 123.9423 \nL 165.89201 126.7488 \nL 162.11148 129.393537 \nL 159.080733 131.865198 \nL 156.74738 134.178438 \nL 155.039351 136.354337 \nL 153.880979 138.409821 \nL 153.202742 140.35355 \nL 152.946532 142.185374 \nL 153.067972 143.897375 \nL 153.536964 145.475172 \nL 154.337241 146.898897 \nL 155.465388 148.143534 \nL 156.929585 149.178646 \nL 158.748077 149.967509 \nL 160.947241 150.465836 \nL 163.55889 150.620307 \nL 166.616279 150.367346 \nL 170.148008 149.632768 \nL 172.097227 149.059138 \nL 174.168803 148.333481 \nL 176.360207 147.444921 \nL 178.666095 146.383049 \nL 181.077602 145.138482 \nL 183.581579 143.703609 \nL 186.159794 142.073498 \nL 188.788124 140.247023 \nL 191.435851 138.228133 \nL 194.065101 136.027251 \nL 196.630586 133.662706 \nL 199.0798 131.162034 \nL 201.353777 128.562947 \nL 203.388616 125.913743 \nL 205.117817 123.272867 \nL 206.475483 120.70735 \nL 207.400272 118.290013 \nL 207.839828 116.095399 \nL 207.755276 114.194659 \nL 207.125232 112.649937 \nL 205.948731 111.50893 \nL 204.246547 110.800443 \nL 202.060587 110.531777 \nL 199.451286 110.688384 \nL 196.493368 111.235945 \nL 193.270493 112.12447 \nL 189.869546 113.293772 \nL 186.375275 114.679331 \nL 179.409612 117.851173 \nL 172.871777 121.215182 \nL 167.072483 124.495189 \nL 162.153263 127.559997 \nL 158.132451 130.380381 \nL 154.95324 132.980854 \nL 152.521797 135.403731 \nL 150.733093 137.688595 \nL 149.486436 139.863735 \nL 148.693718 141.944662 \nL 148.282985 143.935958 \nL 148.19928 145.834004 \nL 148.404026 147.629467 \nL 148.873783 149.309011 \nL 149.598862 150.85617 \nL 150.582061 152.251417 \nL 151.837635 153.471571 \nL 153.390466 154.488594 \nL 155.275341 155.267883 \nL 157.536068 155.766054 \nL 160.224051 155.928363 \nL 163.395668 155.685939 \nL 167.107511 154.953356 \nL 169.18182 154.37172 \nL 171.408085 153.62759 \nL 173.788864 152.705709 \nL 176.324105 151.590338 \nL 179.010272 150.265763 \nL 181.83933 148.717035 \nL 184.797574 146.930972 \nL 187.864341 144.8975 \nL 191.010689 142.611324 \nL 194.198095 140.073953 \nL 197.377368 137.296039 \nL 200.487967 134.299814 \nL 203.457993 131.121485 \nL 206.205149 127.813143 \nL 208.638971 124.443746 \nL 210.664558 121.098574 \nL 212.187855 117.876682 \nL 213.122313 114.885948 \nL 213.396417 112.235728 \nL 212.961204 110.027659 \nL 211.79665 108.345686 \nL 209.915762 107.246891 \nL 207.365385 106.754934 \nL 204.223371 106.857408 \nL 200.592299 107.507905 \nL 196.590778 108.632376 \nL 192.343694 110.13854 \nL 187.972916 111.926496 \nL 183.589653 113.898638 \nL 175.148155 118.060731 \nL 167.556064 122.117171 \nL 161.070183 125.819601 \nL 155.738185 129.114757 \nL 151.481286 132.054628 \nL 148.159721 134.726311 \nL 145.615274 137.212298 \nL 143.695234 139.57457 \nL 142.263988 141.852533 \nL 141.207171 144.067061 \nL 140.431729 146.226159 \nL 139.639397 149.360317 \nL 139.135404 152.356841 \nL 138.624906 157.005481 \nL 137.845938 164.936567 \nL 137.392611 167.64093 \nL 136.742763 170.126728 \nL 136.062469 171.873337 \nL 135.147458 173.541324 \nL 133.910775 175.151856 \nL 132.850414 176.203774 \nL 131.549353 177.244212 \nL 129.951314 178.275986 \nL 127.987186 179.297831 \nL 125.572665 180.301187 \nL 122.606064 181.264963 \nL 118.967001 182.147158 \nL 114.517423 182.871771 \nL 111.942051 183.137234 \nL 109.10774 183.308992 \nL 105.996633 183.357736 \nL 102.593109 183.246728 \nL 98.885482 182.93046 \nL 94.868296 182.353348 \nL 90.545333 181.448644 \nL 85.93343 180.13785 \nL 81.067123 178.331136 \nL 76.004006 175.929394 \nL 70.830411 172.828732 \nL 65.666678 168.928328 \nL 60.670775 164.142466 \nL 56.038489 158.416991 \nL 51.998068 151.749393 \nL 48.797332 144.209932 \nL 46.682197 135.959161 \nL 45.867789 127.255517 \nL 46.506246 118.446478 \nL 48.658122 109.939746 \nL 52.275506 102.156416 \nL 57.202839 95.475041 \nL 63.19668 90.18011 \nL 69.959653 86.428139 \nL 77.179633 84.239013 \nL 84.564865 83.511812 \nL 91.868533 84.057496 \nL 98.900717 85.637872 \nL 105.529418 88.001582 \nL 111.67421 90.91135 \nL 117.296348 94.160878 \nL 122.388212 97.582278 \nL 126.96381 101.046659 \nL 131.051149 104.460438 \nL 134.686476 107.759566 \nL 137.910218 110.903322 \nL 143.28991 116.644466 \nL 147.514008 121.6262 \nL 152.309422 127.768619 \nL 157.026281 133.85338 \nL 159.05815 136.137378 \nL 161.044301 137.975079 \nL 163.08102 139.391976 \nL 165.243526 140.399639 \nL 166.390382 140.750206 \nL 167.588621 140.997338 \nL 168.842615 141.139373 \nL 170.155596 141.174186 \nL 172.965197 140.912064 \nL 176.016499 140.189848 \nL 179.281843 138.989588 \nL 182.700269 137.305182 \nL 186.170725 135.153756 \nL 189.547187 132.58901 \nL 192.639124 129.71413 \nL 194.008847 128.208318 \nL 195.221329 126.689721 \nL 196.246718 125.186869 \nL 197.056578 123.730575 \nL 197.625247 122.352845 \nL 197.931283 121.085532 \nL 197.958819 119.95878 \nL 197.698754 118.999411 \nL 197.149634 118.229398 \nL 196.318098 117.664571 \nL 195.218856 117.313733 \nL 193.87413 117.17828 \nL 192.312636 117.252384 \nL 190.568173 117.523707 \nL 188.677968 117.974544 \nL 184.615938 119.326051 \nL 180.42884 121.11534 \nL 176.377628 123.157808 \nL 172.658494 125.304709 \nL 169.398408 127.45297 \nL 166.663732 129.540585 \nL 164.474922 131.535111 \nL 162.822042 133.421356 \nL 161.678143 135.191505 \nL 161.009411 136.838584 \nL 160.782175 138.352772 \nL 160.967207 139.719728 \nL 161.541984 140.919985 \nL 162.491365 141.928864 \nL 163.807101 142.716523 \nL 165.486298 143.248061 \nL 167.528889 143.483727 \nL 169.933965 143.379569 \nL 172.69473 142.888922 \nL 175.791824 141.965447 \nL 179.18489 140.568489 \nL 182.802639 138.67167 \nL 186.532496 136.275157 \nL 190.212091 133.421188 \nL 191.96782 131.851438 \nL 193.626562 130.210397 \nL 195.1546 128.521727 \nL 196.51682 126.813583 \nL 197.677899 125.118167 \nL 198.603763 123.470844 \nL 199.263253 121.908891 \nL 199.629906 120.469836 \nL 199.683685 119.189537 \nL 199.412541 118.100111 \nL 198.813574 117.227946 \nL 197.893674 116.591994 \nL 196.669535 116.202591 \nL 195.166997 116.060938 \nL 193.419758 116.15932 \nL 191.4676 116.482042 \nL 189.354291 117.006956 \nL 187.125374 117.707351 \nL 182.499372 119.517199 \nL 177.916817 121.681067 \nL 173.633845 124.00398 \nL 169.822125 126.347633 \nL 166.57546 128.629251 \nL 163.926855 130.808134 \nL 161.868127 132.86923 \nL 160.367319 134.809277 \nL 159.382106 136.627466 \nL 158.869094 138.320189 \nL 158.789662 139.878679 \nL 159.113174 141.288318 \nL 159.818339 142.528644 \nL 160.893248 143.573511 \nL 162.334421 144.391141 \nL 164.145 144.944009 \nL 166.332015 145.188747 \nL 168.902499 145.076376 \nL 171.858088 144.553409 \nL 175.187664 143.5646 \nL 178.857717 142.058414 \nL 182.800479 139.996375 \nL 186.900755 137.367313 \nL 188.95797 135.848751 \nL 190.984007 134.206448 \nL 192.946773 132.455606 \nL 194.810337 130.616876 \nL 196.535589 128.716668 \nL 198.081225 126.787143 \nL 199.40516 124.865753 \nL 200.46629 122.99428 \nL 201.226601 121.217318 \nL 201.653434 119.5802 \nL 201.721761 118.126516 \nL 201.416243 116.895416 \nL 200.732786 115.918942 \nL 199.679443 115.21976 \nL 198.276426 114.809587 \nL 196.555253 114.688518 \nL 194.557039 114.845386 \nL 192.330127 115.259088 \nL 189.927326 115.900741 \nL 187.403063 116.736253 \nL 182.200277 118.84268 \nL 177.099029 121.298951 \nL 172.38249 123.880414 \nL 168.228743 126.438561 \nL 164.723851 128.894078 \nL 161.885673 131.216403 \nL 159.68859 133.402035 \nL 158.084053 135.457837 \nL 157.015519 137.39075 \nL 156.428265 139.202704 \nL 156.275195 140.888837 \nL 156.519838 142.437442 \nL 157.137451 143.830481 \nL 158.114924 145.044039 \nL 159.449866 146.048434 \nL 161.149075 146.807927 \nL 163.226324 147.280148 \nL 165.699267 147.415511 \nL 168.585016 147.157011 \nL 171.893843 146.441106 \nL 175.620314 145.200754 \nL 179.731256 143.371992 \nL 181.909261 142.220607 \nL 184.150536 140.905856 \nL 186.435998 139.427042 \nL 188.741748 137.787152 \nL 191.038673 135.993807 \nL 193.292279 134.060212 \nL 195.462763 132.006043 \nL 197.505483 129.858163 \nL 199.371878 127.650973 \nL 201.010929 125.426282 \nL 202.371179 123.23254 \nL 203.403251 121.123267 \nL 204.062785 119.154704 \nL 204.313546 117.382711 \nL 204.130387 115.859166 \nL 203.501765 114.628207 \nL 202.431389 113.722789 \nL 200.93877 113.162036 \nL 199.058501 112.949844 \nL 196.838278 113.074882 \nL 194.335921 113.512156 \nL 191.615714 114.225718 \nL 188.74451 115.172268 \nL 185.788057 116.304962 \nL 179.858939 118.944846 \nL 174.233589 121.820225 \nL 169.182963 124.70269 \nL 164.849758 127.465802 \nL 161.276988 130.061062 \nL 158.44187 132.486198 \nL 156.285228 134.758771 \nL 154.733152 136.899239 \nL 153.711195 138.922372 \nL 153.152762 140.834326 \nL 153.003459 142.632681 \nL 153.222863 144.307591 \nL 153.784746 145.843072 \nL 154.676455 147.217781 \nL 155.897852 148.405205 \nL 157.459977 149.373196 \nL 159.383425 150.083012 \nL 161.696222 150.48793 \nL 164.43082 150.531848 \nL 167.619566 150.148219 \nL 171.287817 149.260192 \nL 173.305321 148.600757 \nL 175.443631 147.783228 \nL 177.698621 146.796999 \nL 180.062964 145.63224 \nL 182.525377 144.28056 \nL 185.069849 142.735861 \nL 187.674826 140.995337 \nL 190.312473 139.060707 \nL 192.948025 136.939554 \nL 195.539417 134.646745 \nL 198.037258 132.205791 \nL 200.385343 129.649985 \nL 202.521843 127.023068 \nL 204.381285 124.379155 \nL 205.897382 121.781697 \nL 207.006678 119.301196 \nL 207.652791 117.011682 \nL 207.790915 114.986031 \nL 207.392075 113.290509 \nL 206.446553 111.979208 \nL 204.965926 111.089114 \nL 202.983273 110.636671 \nL 200.551413 110.616473 \nL 197.739325 111.002313 \nL 194.627217 111.75047 \nL 191.300899 112.804685 \nL 187.846238 114.101923 \nL 184.344292 115.578059 \nL 177.477797 118.832955 \nL 171.145218 122.185545 \nL 165.604336 125.404931 \nL 160.956251 128.394325 \nL 157.193619 131.144081 \nL 154.24629 133.686277 \nL 152.015715 136.063475 \nL 150.397466 138.31215 \nL 149.294351 140.456635 \nL 148.623089 142.508879 \nL 148.316949 144.470701 \nL 148.32608 146.336504 \nL 148.616666 148.095533 \nL 149.16962 149.733347 \nL 149.979223 151.232415 \nL 151.051927 152.571985 \nL 152.405384 153.727281 \nL 154.067656 154.668144 \nL 156.076443 155.357144 \nL 158.478041 155.747258 \nL 161.325562 155.779199 \nL 164.675669 155.378727 \nL 166.556512 154.988507 \nL 168.582741 154.454586 \nL 170.759171 153.762869 \nL 173.08891 152.898402 \nL 175.572688 151.845645 \nL 178.208033 150.588935 \nL 180.988301 149.113133 \nL 183.901557 147.404559 \nL 186.929337 145.452196 \nL 190.045327 143.249282 \nL 193.214066 140.795202 \nL 196.389785 138.097712 \nL 199.515596 135.175372 \nL 202.523271 132.059935 \nL 205.333886 128.798435 \nL 207.859633 125.454448 \nL 210.00708 122.108081 \nL 211.681954 118.854048 \nL 212.79538 115.797494 \nL 213.271156 113.047394 \nL 213.053286 110.707907 \nL 212.112779 108.868587 \nL 210.452477 107.594928 \nL 208.108897 106.920898 \nL 205.150525 106.845067 \nL 201.67256 107.331221 \nL 197.788903 108.313461 \nL 193.622654 109.704766 \nL 189.296647 111.407315 \nL 184.92527 113.322665 \nL 176.428389 117.443407 \nL 168.71182 121.522907 \nL 162.071199 125.276475 \nL 156.581616 128.626115 \nL 152.180288 131.611626 \nL 148.734959 134.316783 \nL 146.089572 136.825376 \nL 144.090629 139.202317 \nL 142.600332 141.489963 \nL 141.501679 143.711491 \nL 140.699043 145.876429 \nL 140.116446 147.985871 \nL 139.529807 151.038356 \nL 139.075525 154.87478 \nL 138.666028 160.877162 \nL 138.20237 167.28492 \nL 137.778312 170.296061 \nL 137.259053 172.480079 \nL 136.708974 174.013357 \nL 135.96336 175.477961 \nL 134.94884 176.89458 \nL 133.56403 178.284686 \nL 132.367889 179.206669 \nL 130.892032 180.130079 \nL 129.069834 181.056116 \nL 126.819414 181.980174 \nL 124.041037 182.887298 \nL 120.61501 183.744795 \nL 116.401243 184.490422 \nL 111.242823 185.014055 \nL 108.258397 185.138611 \nL 104.977999 185.13037 \nL 101.385235 184.948194 \nL 97.468363 184.541011 \nL 93.222982 183.846348 \nL 88.65555 182.789152 \nL 83.787841 181.281294 \nL 78.662358 179.222319 \nL 73.348464 176.502279 \nL 67.948777 173.007594 \nL 62.604758 168.63106 \nL 57.49995 163.286818 \nL 52.858621 156.930336 \nL 48.937278 149.581896 \nL 46.006976 141.34991 \nL 44.325914 132.447732 \nL 44.104765 123.196237 \nL 45.470934 114.005382 \nL 48.440676 105.332701 \nL 52.908037 97.624359 \nL 58.655598 91.252015 \nL 65.385281 86.462063 \nL 72.760935 83.350352 \nL 80.451435 81.866793 \nL 88.164653 81.844477 \nL 95.667385 83.041943 \nL 102.791378 85.186514 \nL 109.429006 88.00988 \nL 115.523118 91.272097 \nL 121.055024 94.773922 \nL 126.033175 98.360045 \nL 130.483768 101.916316 \nL 134.443626 105.363731 \nL 137.955123 108.651443 \nL 143.810877 114.644926 \nL 148.397955 119.817335 \nL 153.572827 126.133906 \nL 158.575406 132.292764 \nL 160.682231 134.56791 \nL 162.707591 136.37671 \nL 164.75105 137.7513 \nL 166.888249 138.70958 \nL 169.17377 139.257518 \nL 171.642336 139.391922 \nL 174.308231 139.103974 \nL 177.162975 138.383887 \nL 180.171553 137.227157 \nL 183.267879 135.642638 \nL 186.350808 133.662213 \nL 189.282731 131.350985 \nL 191.893469 128.815568 \nL 193.019035 127.509297 \nL 193.992164 126.206744 \nL 194.789308 124.932475 \nL 195.388796 123.71221 \nL 195.771905 122.571893 \nL 195.923903 121.536597 \nL 195.834987 120.629359 \nL 195.501041 119.870032 \nL 194.924134 119.274248 \nL 194.112669 118.852622 \nL 193.081194 118.610262 \nL 191.849842 118.546653 \nL 190.44346 118.655937 \nL 188.890499 118.927515 \nL 185.469083 119.897065 \nL 181.837358 121.313375 \nL 178.228313 123.024679 \nL 174.83176 124.896024 \nL 171.784134 126.823166 \nL 169.170114 128.734466 \nL 167.031392 130.58513 \nL 165.378201 132.348603 \nL 164.200555 134.008319 \nL 163.477603 135.551422 \nL 163.184607 136.964668 \nL 163.297614 138.2321 \nL 163.796178 139.333965 \nL 164.66448 140.246288 \nL 165.891164 140.940871 \nL 167.468045 141.385528 \nL 169.387758 141.544654 \nL 171.640291 141.380306 \nL 174.208303 140.854249 \nL 177.061176 139.931423 \nL 180.147909 138.585407 \nL 183.389408 136.806327 \nL 186.671378 134.611199 \nL 189.840018 132.055643 \nL 192.703627 129.244461 \nL 193.953261 127.790623 \nL 195.043697 126.336547 \nL 195.947214 124.909522 \nL 196.637961 123.538578 \nL 197.093206 122.253406 \nL 197.294619 121.08305 \nL 197.22947 120.054479 \nL 196.891586 119.191146 \nL 196.282033 118.511663 \nL 195.409374 118.028753 \nL 194.289492 117.748595 \nL 192.944948 117.670618 \nL 191.403947 117.787817 \nL 189.698984 118.087502 \nL 187.865315 118.55241 \nL 183.957291 119.894132 \nL 179.959877 121.635163 \nL 176.11241 123.606794 \nL 172.593943 125.673723 \nL 169.520235 127.741707 \nL 166.951997 129.75296 \nL 164.908315 131.675828 \nL 163.380683 133.493895 \nL 162.345088 135.19726 \nL 161.771229 136.776708 \nL 161.628863 138.220398 \nL 161.891715 139.512284 \nL 162.539466 140.631536 \nL 163.558261 141.5524 \nL 164.940025 142.244278 \nL 166.680748 142.67192 \nL 168.777705 142.795857 \nL 171.2255 142.57341 \nL 174.010734 141.960733 \nL 177.105122 140.916564 \nL 180.457109 139.408394 \nL 183.982536 137.421744 \nL 187.555745 134.972646 \nL 191.003778 132.12221 \nL 192.613981 130.581342 \nL 194.107719 128.990109 \nL 195.452582 127.37374 \nL 196.615755 125.761216 \nL 197.565265 124.184592 \nL 198.271455 122.67794 \nL 198.708547 121.275958 \nL 198.856239 120.012312 \nL 198.701131 118.917826 \nL 198.237884 118.018656 \nL 197.469952 117.334708 \nL 196.409771 116.878423 \nL 195.078375 116.654086 \nL 193.504434 116.657802 \nL 191.722809 116.87811 \nL 189.772771 117.297114 \nL 187.696047 117.892068 \nL 183.330234 119.505254 \nL 178.939798 121.504969 \nL 174.781052 123.701718 \nL 171.034651 125.953575 \nL 167.807528 128.169657 \nL 165.146316 130.300481 \nL 163.054808 132.323666 \nL 161.510479 134.230794 \nL 160.477785 136.017891 \nL 159.917751 137.67968 \nL 159.79423 139.20668 \nL 160.077533 140.584096 \nL 160.746126 141.791588 \nL 161.786887 142.80333 \nL 163.194301 143.588076 \nL 164.968709 144.109154 \nL 167.11357 144.324566 \nL 169.631576 144.187487 \nL 172.519279 143.647664 \nL 175.759909 142.654504 \nL 179.314179 141.162747 \nL 183.109267 139.141761 \nL 187.027129 136.589157 \nL 188.980314 135.124736 \nL 190.894632 133.548292 \nL 192.739229 131.875488 \nL 194.48 130.126988 \nL 196.080244 128.328629 \nL 197.501675 126.511312 \nL 198.705766 124.710448 \nL 199.655404 122.96498 \nL 200.316793 121.315914 \nL 200.66148 119.804401 \nL 200.668322 118.469521 \nL 200.325218 117.34589 \nL 199.63038 116.461403 \nL 198.592986 115.835363 \nL 197.233074 115.47718 \nL 195.580668 115.385944 \nL 193.674189 115.550856 \nL 191.558346 115.952434 \nL 189.28168 116.56443 \nL 186.894063 117.35608 \nL 181.978426 119.346765 \nL 177.157887 121.672355 \nL 172.694909 124.127953 \nL 168.757639 126.575064 \nL 165.430724 128.936399 \nL 162.736007 131.17861 \nL 160.654514 133.293457 \nL 159.145088 135.28295 \nL 158.158217 137.149889 \nL 157.645289 138.89296 \nL 157.564204 140.504809 \nL 157.882333 141.971723 \nL 158.577639 143.273891 \nL 159.638583 144.385675 \nL 161.063135 145.275664 \nL 162.857037 145.906435 \nL 165.031245 146.234206 \nL 167.598304 146.208656 \nL 170.567235 145.77346 \nL 173.936404 144.868299 \nL 177.683873 143.433447 \nL 181.754972 141.418336 \nL 183.882266 140.183188 \nL 186.047659 138.795482 \nL 188.228551 137.258679 \nL 190.397705 135.580457 \nL 192.523138 133.773534 \nL 194.568223 131.856404 \nL 196.492158 129.853906 \nL 198.250808 127.797499 \nL 199.798009 125.725082 \nL 201.087336 123.680302 \nL 202.074311 121.711177 \nL 202.718921 119.868074 \nL 202.988301 118.201073 \nL 202.859288 116.756891 \nL 202.320593 115.575707 \nL 201.374284 114.688201 \nL 200.036342 114.113227 \nL 198.33616 113.856491 \nL 196.314983 113.910414 \nL 194.023471 114.255233 \nL 191.518627 114.861152 \nL 188.860481 115.691256 \nL 186.108854 116.704739 \nL 180.547119 119.117424 \nL 175.216685 121.801082 \nL 170.385131 124.535716 \nL 166.204146 127.190189 \nL 162.731528 129.705345 \nL 159.960309 132.067602 \nL 157.84557 134.28524 \nL 156.325077 136.37211 \nL 155.333391 138.33868 \nL 154.810587 140.188338 \nL 154.707065 141.916702 \nL 154.985736 143.512259 \nL 155.622569 144.957224 \nL 156.606156 146.228127 \nL 157.936674 147.295891 \nL 159.624381 148.125398 \nL 161.687623 148.674638 \nL 164.150061 148.893713 \nL 167.036716 148.724049 \nL 170.368161 148.098441 \nL 174.152043 146.942994 \nL 176.209636 146.142859 \nL 178.371097 145.182412 \nL 180.627741 144.053772 \nL 182.967115 142.750718 \nL 185.372325 141.269468 \nL 187.821386 139.609604 \nL 190.286635 137.77514 \nL 192.734312 135.775673 \nL 195.124367 133.62753 \nL 197.410639 131.354818 \nL 199.541516 128.990201 \nL 201.461181 126.575229 \nL 203.111521 124.159996 \nL 204.434735 121.801935 \nL 205.376534 119.56362 \nL 205.889749 117.509578 \nL 205.93804 115.702273 \nL 205.499304 114.197573 \nL 204.568283 113.040273 \nL 203.157985 112.260281 \nL 201.299615 111.870065 \nL 199.040902 111.863806 \nL 196.44304 112.218461 \nL 193.57655 112.896527 \nL 190.51666 113.850116 \nL 187.338723 115.025572 \nL 184.114203 116.368091 \nL 177.774137 119.352135 \nL 171.897727 122.465121 \nL 166.727593 125.495082 \nL 162.369058 128.343542 \nL 158.829261 130.988945 \nL 156.056037 133.449208 \nL 153.968463 135.754582 \nL 152.477671 137.932356 \nL 151.499557 140.000488 \nL 150.96166 141.966476 \nL 150.806258 143.828679 \nL 150.991202 145.578258 \nL 151.489514 147.200818 \nL 152.288418 148.677391 \nL 153.388165 149.984678 \nL 154.800837 151.094562 \nL 156.549109 151.973014 \nL 158.664819 152.578494 \nL 161.187037 152.86001 \nL 164.15908 152.755104 \nL 167.62369 152.188281 \nL 169.552079 151.704395 \nL 171.615273 151.070821 \nL 173.814289 150.274862 \nL 176.147805 149.303631 \nL 178.611447 148.1445 \nL 181.196958 146.785727 \nL 183.891284 145.217288 \nL 186.675582 143.431955 \nL 189.524202 141.426617 \nL 192.403747 139.203833 \nL 195.272285 136.773594 \nL 198.078913 134.15514 \nL 200.763827 131.378704 \nL 203.259108 128.48687 \nL 205.49045 125.535264 \nL 207.37996 122.592164 \nL 208.850074 119.736691 \nL 209.828484 117.055325 \nL 210.253734 114.63674 \nL 210.0809 112.565228 \nL 209.286653 110.913434 \nL 207.872831 109.735398 \nL 205.867867 109.061031 \nL 203.325627 108.893095 \nL 200.321694 109.207377 \nL 196.947577 109.956001 \nL 193.30368 111.073339 \nL 189.492079 112.483419 \nL 185.610034 114.107514 \nL 177.970881 117.707509 \nL 170.918787 121.397952 \nL 164.757358 124.898664 \nL 159.598528 128.10106 \nL 155.424328 131.005852 \nL 152.144012 133.663659 \nL 149.635717 136.135329 \nL 147.772675 138.471935 \nL 146.437749 140.708314 \nL 145.530292 142.863694 \nL 144.968395 144.945213 \nL 144.688591 146.951808 \nL 144.644325 148.877441 \nL 144.804005 150.713333 \nL 145.149089 152.449241 \nL 145.672442 154.073958 \nL 146.377104 155.575215 \nL 147.27548 156.939109 \nL 148.388938 158.149124 \nL 149.747768 159.184793 \nL 151.391388 160.01994 \nL 153.368654 160.620435 \nL 155.738013 160.941414 \nL 158.567062 160.923866 \nL 161.930825 160.490731 \nL 165.907573 159.542892 \nL 168.149225 158.838158 \nL 170.570432 157.956156 \nL 173.177042 156.877477 \nL 175.972152 155.58155 \nL 178.95502 154.047164 \nL 182.119735 152.253297 \nL 185.453657 150.180318 \nL 188.935619 147.811655 \nL 192.533984 145.136021 \nL 196.204645 142.150203 \nL 199.889209 138.862412 \nL 203.513644 135.295994 \nL 206.987782 131.493214 \nL 210.206216 127.518541 \nL 213.051049 123.460662 \nL 215.396975 119.432255 \nL 217.118881 115.566582 \nL 218.101712 112.010166 \nL 218.251826 108.911456 \nL 217.508323 106.406406 \nL 215.85247 104.602857 \nL 213.313142 103.566674 \nL 209.966773 103.31265 \nL 205.931326 103.802515 \nL 201.355102 104.950824 \nL 196.402443 106.637443 \nL 191.238904 108.72384 \nL 186.018334 111.069714 \nL 175.911063 116.048778 \nL 166.8232 120.830079 \nL 155.765633 126.949166 \nL 150.1126 130.309559 \nL 145.655125 133.234896 \nL 142.184535 135.864241 \nL 139.492149 138.30883 \nL 137.388974 140.643596 \nL 135.712726 142.911847 \nL 134.328171 145.133971 \nL 132.009587 149.45492 \nL 129.755243 153.578583 \nL 128.492004 155.547013 \nL 127.063573 157.441448 \nL 125.415287 159.251297 \nL 123.490464 160.962511 \nL 121.228711 162.554867 \nL 118.565163 163.998104 \nL 115.431141 165.246613 \nL 113.665851 165.777686 \nL 111.757083 166.232321 \nL 109.697079 166.597004 \nL 107.47914 166.855578 \nL 105.098179 166.988891 \nL 102.551435 166.974456 \nL 99.839357 166.786181 \nL 96.966676 166.394218 \nL 93.943685 165.765016 \nL 90.787696 164.861675 \nL 87.524636 163.644769 \nL 84.190682 162.073755 \nL 80.833779 160.109165 \nL 77.514789 157.7157 \nL 74.307976 154.866291 \nL 71.300412 151.547087 \nL 68.58991 147.763001 \nL 66.281115 143.543315 \nL 64.479629 138.946366 \nL 63.284308 134.06221 \nL 62.778376 129.012064 \nL 63.020447 123.943584 \nL 64.036913 119.021752 \nL 65.817164 114.415979 \nL 68.312825 110.285238 \nL 71.441343 106.763523 \nL 75.093488 103.948262 \nL 79.143402 101.89359 \nL 83.459459 100.609286 \nL 87.914249 100.065039 \nL 92.392437 100.198582 \nL 96.79587 100.925793 \nL 101.045979 102.150936 \nL 105.083921 103.775647 \nL 108.869103 105.705868 \nL 112.376785 107.856508 \nL 115.595274 110.153961 \nL 118.523149 112.537011 \nL 121.166717 114.95647 \nL 123.53783 117.374123 \nL 125.652095 119.761246 \nL 127.527441 122.097051 \nL 129.183021 124.367151 \nL 131.912851 128.676789 \nL 133.992875 132.656462 \nL 135.560091 136.308039 \nL 136.732086 139.651254 \nL 137.606109 142.71332 \nL 138.525011 146.842315 \nL 139.306725 151.619569 \nL 140.753941 161.622953 \nL 141.449773 164.382039 \nL 142.146545 166.181755 \nL 143.061903 167.748252 \nL 143.832878 168.655922 \nL 144.76723 169.444604 \nL 145.902085 170.10119 \nL 147.28267 170.606775 \nL 148.963956 170.9347 \nL 151.01238 171.04784 \nL 153.507457 170.894903 \nL 156.542841 170.405492 \nL 160.225999 169.483806 \nL 164.674967 168.001161 \nL 170.009511 165.788444 \nL 173.042457 164.343118 \nL 176.33236 162.6315 \nL 179.883663 160.620574 \nL 183.694087 158.276226 \nL 187.752096 155.56492 \nL 192.033835 152.456228 \nL 196.499648 148.92644 \nL 201.090308 144.96338 \nL 205.723342 140.57253 \nL 210.29 135.784163 \nL 214.653743 130.660937 \nL 218.65131 125.304803 \nL 222.097598 119.861353 \nL 224.795414 114.519405 \nL 226.550579 109.503341 \nL 227.191764 105.056571 \nL 226.592794 101.41624 \nL 224.693583 98.782171 \nL 221.514811 97.285941 \nL 217.16191 96.967812 \nL 211.816048 97.768549 \nL 205.713266 99.53913 \nL 199.116292 102.066341 \nL 192.285358 105.107129 \nL 185.45396 108.422935 \nL 172.504994 115.097786 \nL 151.914479 125.816599 \nL 138.670271 132.607805 \nL 134.138533 135.124471 \nL 130.584242 137.346942 \nL 127.737322 139.406478 \nL 125.371609 141.374888 \nL 121.378871 145.129261 \nL 118.510344 147.753295 \nL 116.472624 149.363766 \nL 114.24808 150.820263 \nL 111.778531 152.077065 \nL 109.019469 153.0786 \nL 105.9421 153.757049 \nL 104.280462 153.950002 \nL 102.538112 154.030125 \nL 100.718481 153.98475 \nL 98.827411 153.800377 \nL 96.873538 153.462875 \nL 94.868693 152.957789 \nL 92.828296 152.270789 \nL 90.771703 151.388297 \nL 88.722463 150.298273 \nL 86.708428 148.991198 \nL 84.76166 147.461232 \nL 82.91805 145.707484 \nL 81.216593 143.735344 \nL 79.698289 141.557765 \nL 78.404631 139.196303 \nL 77.375711 136.681782 \nL 76.648064 134.054388 \nL 76.252361 131.362993 \nL 76.211199 128.663698 \nL 76.537189 126.017493 \nL 77.231626 123.487267 \nL 78.283895 121.134351 \nL 79.671767 119.014971 \nL 81.362532 117.176973 \nL 83.314909 115.657295 \nL 85.481458 114.480302 \nL 87.811269 113.657225 \nL 90.252616 113.186692 \nL 92.755345 113.056074 \nL 95.272834 113.243533 \nL 97.763389 113.720367 \nL 100.191132 114.453437 \nL 102.526369 115.407413 \nL 104.745551 116.546698 \nL 106.83092 117.836932 \nL 108.769962 119.246092 \nL 110.554728 120.745184 \nL 112.181121 122.308602 \nL 113.648178 123.914216 \nL 114.957409 125.543279 \nL 116.112187 127.180191 \nL 117.117217 128.812189 \nL 118.700895 132.022531 \nL 119.757358 135.115902 \nL 120.334999 138.05804 \nL 120.476033 140.830265 \nL 120.21339 143.422883 \nL 119.569355 145.830112 \nL 118.555449 148.046173 \nL 117.173179 150.062004 \nL 115.41553 151.862239 \nL 114.391967 152.674236 \nL 113.269282 153.422159 \nL 112.045407 154.100921 \nL 110.718385 154.704423 \nL 109.286573 155.225449 \nL 107.748876 155.655548 \nL 106.105034 155.984948 \nL 104.355952 156.202477 \nL 102.504086 156.295518 \nL 100.553888 156.250031 \nL 98.512301 156.050655 \nL 96.389301 155.680903 \nL 94.198459 155.123513 \nL 91.957515 154.360983 \nL 89.688896 153.376292 \nL 87.420139 152.153912 \nL 85.184125 150.681042 \nL 83.019069 148.949109 \nL 80.96811 146.955472 \nL 79.07847 144.705238 \nL 77.400064 142.212991 \nL 75.98354 139.504297 \nL 74.877811 136.616639 \nL 74.12716 133.59957 \nL 73.768188 130.513817 \nL 73.826883 127.429204 \nL 74.316172 124.421413 \nL 75.234307 121.56779 \nL 76.564351 118.942612 \nL 78.274899 116.612362 \nL 80.321958 114.631519 \nL 82.651798 113.039517 \nL 85.204373 111.859101 \nL 87.916949 111.096185 \nL 90.727498 110.741204 \nL 93.577575 110.77145 \nL 96.414485 111.154162 \nL 99.192681 111.849799 \nL 101.874438 112.815204 \nL 104.429912 114.006333 \nL 106.836742 115.38045 \nL 109.079339 116.897711 \nL 111.147998 118.522149 \nL 113.037952 120.222224 \nL 114.748435 121.970934 \nL 116.2818 123.745681 \nL 117.642735 125.52794 \nL 118.837585 127.302833 \nL 119.873775 129.058662 \nL 121.502512 132.479386 \nL 122.594067 135.742758 \nL 123.208922 138.82559 \nL 123.397861 141.719507 \nL 123.199471 144.424212 \nL 122.639284 146.942674 \nL 121.729945 149.277576 \nL 120.471993 151.42847 \nL 118.855096 153.389203 \nL 116.859748 155.14518 \nL 114.459648 156.67021 \nL 113.098565 157.333847 \nL 111.625197 157.922711 \nL 110.036202 158.428464 \nL 108.328836 158.841212 \nL 106.501288 159.149363 \nL 104.553085 159.339487 \nL 102.485568 159.396224 \nL 100.302462 159.302256 \nL 98.010508 159.038365 \nL 95.620196 158.58362 \nL 93.146541 157.915788 \nL 90.609874 157.011952 \nL 88.036606 155.84946 \nL 85.459867 154.407214 \nL 82.919915 152.667369 \nL 80.464177 150.617418 \nL 78.146766 148.252591 \nL 76.027326 145.578458 \nL 74.169085 142.613466 \nL 72.636059 139.39106 \nL 71.489486 135.960992 \nL 70.783677 132.389388 \nL 70.56169 128.757138 \nL 70.851319 125.156537 \nL 71.661953 121.686161 \nL 72.982851 118.444487 \nL 74.783183 115.522994 \nL 77.013885 112.999595 \nL 79.611159 110.933366 \nL 82.501091 109.36129 \nL 85.604759 108.297282 \nL 88.843197 107.733477 \nL 92.141648 107.643331 \nL 95.432813 107.985877 \nL 98.658905 108.71049 \nL 101.772634 109.761457 \nL 104.737256 111.081936 \nL 107.525962 112.617125 \nL 110.120818 114.316426 \nL 112.511476 116.134801 \nL 114.693844 118.03338 \nL 116.668786 119.979532 \nL 118.440948 121.946542 \nL 120.017724 123.913065 \nL 121.408391 125.862465 \nL 122.623389 127.782111 \nL 123.673748 129.662713 \nL 125.324982 133.282721 \nL 126.447313 136.693517 \nL 127.11574 139.888007 \nL 127.39136 142.871506 \nL 127.320051 145.655471 \nL 126.932505 148.253438 \nL 126.244962 150.678305 \nL 125.260185 152.940395 \nL 123.968498 155.045786 \nL 122.348781 156.994576 \nL 120.369559 158.778749 \nL 117.990406 160.37929 \nL 115.164137 161.762245 \nL 113.567609 162.356163 \nL 111.840532 162.873443 \nL 109.977193 163.303052 \nL 107.972696 163.631785 \nL 105.823424 163.844015 \nL 103.527601 163.921452 \nL 101.085995 163.84296 \nL 98.502745 163.58446 \nL 95.786343 163.118983 \nL 92.950739 162.416951 \nL 90.016552 161.446764 \nL 87.012312 160.175817 \nL 83.975634 158.572061 \nL 80.954159 156.606165 \nL 78.006075 154.254408 \nL 75.199919 151.502204 \nL 72.613419 148.34814 \nL 70.331079 144.808191 \nL 68.440358 140.919556 \nL 67.026459 136.743405 \nL 66.166001 132.365704 \nL 65.92017 127.895382 \nL 66.328253 123.459392 \nL 67.402557 119.194736 \nL 69.125726 115.238192 \nL 71.451056 111.715128 \nL 74.305954 108.72912 \nL 77.597986 106.353989 \nL 81.222606 104.629511 \nL 85.071281 103.561162 \nL 89.038936 103.12358 \nL 93.029834 103.266668 \nL 96.961516 103.923088 \nL 100.7668 105.015885 \nL 104.394098 106.46527 \nL 107.806508 108.19396 \nL 110.980165 110.13096 \nL 113.90218 112.213759 \nL 116.568533 114.389301 \nL 118.982071 116.613975 \nL 121.150735 118.852998 \nL 123.086064 121.079436 \nL 124.801952 123.273066 \nL 126.31368 125.419236 \nL 127.63714 127.50781 \nL 129.782602 131.488658 \nL 131.359381 135.192417 \nL 132.474638 138.621898 \nL 133.218052 141.793505 \nL 133.661206 144.729758 \nL 133.858577 147.454989 \nL 133.849255 149.993001 \nL 133.658841 152.365876 \nL 133.301196 154.593452 \nL 132.779849 156.69313 \nL 132.089005 158.679844 \nL 131.214112 160.566005 \nL 130.132021 162.361292 \nL 128.810763 164.072156 \nL 127.209028 165.700888 \nL 125.275471 167.243962 \nL 122.948043 168.689387 \nL 120.153748 170.012585 \nL 116.809472 171.170196 \nL 114.903035 171.666077 \nL 112.82506 172.091085 \nL 110.564356 172.429946 \nL 108.110561 172.663888 \nL 105.454822 172.770058 \nL 102.590701 172.720944 \nL 99.515339 172.483806 \nL 96.230937 172.020248 \nL 92.746561 171.285997 \nL 89.080302 170.231104 \nL 85.261728 168.800761 \nL 81.33453 166.937036 \nL 77.359099 164.581816 \nL 73.414689 161.6813 \nL 69.600607 158.19221 \nL 66.03571 154.089706 \nL 62.855452 149.376536 \nL 60.205775 144.092422 \nL 58.233514 138.321966 \nL 57.073619 132.198863 \nL 56.834511 125.904134 \nL 57.583745 119.656698 \nL 59.336879 113.696115 \nL 62.052224 108.259515 \nL 65.63315 103.556471 \nL 69.937912 99.746943 \nL 74.795019 96.926625 \nL 80.021029 95.122317 \nL 85.437334 94.297154 \nL 90.883397 94.363467 \nL 96.225096 95.199531 \nL 101.358232 96.666697 \nL 106.208122 98.624122 \nL 110.726596 100.939739 \nL 114.887669 103.497085 \nL 118.68285 106.198526 \nL 122.116751 108.965749 \nL 125.203296 111.738454 \nL 127.962646 114.472068 \nL 130.418815 117.13506 \nL 132.597872 119.70632 \nL 136.231759 124.527279 \nL 139.073171 128.892563 \nL 141.312635 132.810901 \nL 143.897745 137.920591 \nL 147.184059 144.693546 \nL 148.417677 146.879447 \nL 149.715486 148.794415 \nL 151.139438 150.445431 \nL 152.747549 151.830173 \nL 154.596601 152.9362 \nL 156.74409 153.73981 \nL 159.24916 154.204544 \nL 160.654655 154.294519 \nL 162.172184 154.279419 \nL 163.80909 154.150318 \nL 165.572335 153.897196 \nL 167.468241 153.508953 \nL 169.502152 152.973458 \nL 171.677995 152.277672 \nL 173.997741 151.407865 \nL 176.460735 150.34996 \nL 179.062896 149.090038 \nL 181.795795 147.615051 \nL 184.645591 145.913782 \nL 187.591903 143.97808 \nL 190.606629 141.804413 \nL 193.65285 139.395686 \nL 196.68392 136.763309 \nL 199.642953 133.929348 \nL 202.462937 130.928562 \nL 205.067723 127.809984 \nL 207.374121 124.637642 \nL 209.2953 121.489945 \nL 210.745541 118.457313 \nL 211.646131 115.637764 \nL 211.931978 113.130459 \nL 211.558184 111.027693 \nL 210.505647 109.406267 \nL 208.784698 108.319526 \nL 206.435964 107.791518 \nL 203.528071 107.814502 \nL 200.152429 108.350366 \nL 196.415777 109.335781 \nL 192.43173 110.690065 \nL 188.312513 112.324269 \nL 184.161992 114.149958 \nL 176.112681 118.06506 \nL 168.808674 121.950792 \nL 162.519451 125.551796 \nL 157.315827 128.794621 \nL 153.143072 131.710387 \nL 149.88202 134.370295 \nL 147.390584 136.846732 \nL 145.528229 139.1961 \nL 144.16855 141.455104 \nL 143.204433 143.6434 \nL 142.548983 145.76833 \nL 142.134234 147.829492 \nL 141.908892 149.822307 \nL 141.848052 152.669355 \nL 142.054792 155.326102 \nL 142.496847 157.772375 \nL 143.177766 159.98949 \nL 143.780182 161.330369 \nL 144.520985 162.552949 \nL 145.423928 163.647548 \nL 146.519584 164.601221 \nL 147.846227 165.396371 \nL 149.450907 166.008966 \nL 151.390646 166.40617 \nL 153.733527 166.543253 \nL 156.559329 166.359596 \nL 159.959017 165.773695 \nL 164.031891 164.677417 \nL 168.87839 162.930309 \nL 171.620041 161.759025 \nL 174.585337 160.356242 \nL 177.778611 158.694952 \nL 181.199048 156.747165 \nL 184.838793 154.485093 \nL 188.680676 151.882937 \nL 192.695587 148.919416 \nL 196.839632 145.581175 \nL 201.05124 141.867093 \nL 205.248623 137.793446 \nL 209.328088 133.399561 \nL 213.163931 128.753356 \nL 216.610727 123.955664 \nL 219.508873 119.141907 \nL 221.693948 114.479457 \nL 223.009889 110.159129 \nL 223.325101 106.380211 \nL 222.549463 103.329722 \nL 220.64916 101.158754 \nL 217.655975 99.960529 \nL 213.668198 99.755387 \nL 208.842083 100.487071 \nL 203.375085 102.03182 \nL 197.484342 104.218153 \nL 191.384766 106.852386 \nL 185.27077 109.743808 \nL 173.608374 115.66213 \nL 151.124946 127.576333 \nL 144.990489 130.954175 \nL 140.185562 133.800048 \nL 136.436978 136.306789 \nL 133.488325 138.615412 \nL 131.115835 140.813874 \nL 129.131504 142.948244 \nL 125.735114 147.075327 \nL 123.240918 150.0171 \nL 121.436254 151.870892 \nL 119.433012 153.608912 \nL 117.166708 155.198725 \nL 114.578695 156.59911 \nL 111.616684 157.756321 \nL 109.981505 158.222379 \nL 108.237753 158.599418 \nL 106.382557 158.875051 \nL 104.414645 159.03521 \nL 102.334787 159.064044 \nL 100.146319 158.943904 \nL 97.855761 158.655403 \nL 95.473496 158.17764 \nL 93.014505 157.488597 \nL 90.499117 156.565782 \nL 87.953713 155.387183 \nL 85.411306 153.932577 \nL 82.911869 152.185186 \nL 80.502306 150.133736 \nL 78.235906 147.77479 \nL 76.171121 145.115243 \nL 74.369594 142.17471 \nL 72.893372 138.987494 \nL 71.801401 135.603705 \nL 71.145504 132.089153 \nL 70.96624 128.523646 \nL 71.289092 124.997568 \nL 72.121569 121.606855 \nL 73.451683 118.446798 \nL 75.24811 115.605424 \nL 77.462101 113.157268 \nL 80.03092 111.158454 \nL 82.882309 109.643679 \nL 85.939408 108.625417 \nL 89.125493 108.095241 \nL 92.368025 108.026856 \nL 95.601725 108.380222 \nL 98.770538 109.106067 \nL 101.828547 110.150304 \nL 104.740028 111.457801 \nL 107.478851 112.97537 \nL 110.027464 114.653895 \nL 112.375671 116.44959 \nL 114.519345 118.324608 \nL 116.459176 120.247109 \nL 118.19954 122.190961 \nL 119.747504 124.135232 \nL 121.11198 126.063547 \nL 122.303025 127.963425 \nL 123.331287 129.825639 \nL 124.942409 133.412949 \nL 126.027753 136.79601 \nL 126.65981 139.966867 \nL 126.897481 142.929811 \nL 126.78471 145.695216 \nL 126.350479 148.27546 \nL 125.609478 150.682185 \nL 124.563064 152.924241 \nL 123.200301 155.005922 \nL 121.499031 156.925058 \nL 119.427111 158.670662 \nL 116.944096 160.219802 \nL 115.534141 160.909256 \nL 114.003899 161.533392 \nL 112.347455 162.083892 \nL 110.559245 162.550672 \nL 108.634386 162.92163 \nL 106.569086 163.18242 \nL 104.361151 163.31621 \nL 102.010615 163.303507 \nL 99.520496 163.122027 \nL 96.89768 162.746712 \nL 94.153937 162.149919 \nL 91.307044 161.301889 \nL 88.381959 160.171567 \nL 85.411964 158.727904 \nL 82.439646 156.941722 \nL 79.517541 154.788201 \nL 76.70821 152.250015 \nL 74.083491 149.320994 \nL 71.722654 146.010089 \nL 69.709297 142.345182 \nL 68.126889 138.376138 \nL 67.053141 134.176356 \nL 66.553652 129.842086 \nL 66.675537 125.488949 \nL 67.441977 121.245529 \nL 68.848634 117.244469 \nL 70.862709 113.612128 \nL 73.424911 110.458249 \nL 76.454178 107.867275 \nL 79.854395 105.892666 \nL 83.522023 104.554924 \nL 87.353555 103.843295 \nL 91.251853 103.72048 \nL 95.130796 104.129222 \nL 98.918066 104.999524 \nL 102.556221 106.255561 \nL 106.002395 107.821437 \nL 109.227059 109.625516 \nL 112.212237 111.603255 \nL 114.949531 113.698715 \nL 117.438144 115.865019 \nL 119.683075 118.064043 \nL 121.693553 120.265687 \nL 123.481713 122.446858 \nL 125.061529 124.590387 \nL 126.447973 126.683997 \nL 128.70183 130.691114 \nL 130.361873 134.434334 \nL 131.535044 137.909631 \nL 132.31192 141.129237 \nL 132.76534 144.113239 \nL 132.950917 146.884625 \nL 132.908464 149.466496 \nL 132.663715 151.880566 \nL 132.229968 154.146404 \nL 131.609443 156.281066 \nL 130.794247 158.298868 \nL 129.766931 160.211136 \nL 128.500648 162.025711 \nL 126.958983 163.746106 \nL 125.09557 165.370017 \nL 122.853711 166.886944 \nL 120.166329 168.274481 \nL 116.956889 169.492771 \nL 115.130543 170.019311 \nL 113.1423 170.476496 \nL 110.981822 170.850375 \nL 108.639504 171.123843 \nL 106.107072 171.276143 \nL 103.378391 171.282337 \nL 100.450479 171.112824 \nL 97.324803 170.732932 \nL 94.008861 170.10272 \nL 90.518069 169.177106 \nL 86.877912 167.906506 \nL 83.126278 166.23824 \nL 79.315784 164.118957 \nL 75.5158 161.498313 \nL 71.813718 158.334176 \nL 68.314922 154.599294 \nL 65.14074 150.289191 \nL 62.423791 145.430504 \nL 60.300337 140.088491 \nL 58.899711 134.371914 \nL 58.331657 128.433317 \nL 58.673261 122.462969 \nL 59.957771 116.675976 \nL 62.167731 111.293432 \nL 65.234325 106.52044 \nL 69.04345 102.525042 \nL 73.447508 99.422116 \nL 78.280587 97.265296 \nL 83.374094 96.047751 \nL 88.570254 95.710681 \nL 93.731762 96.156805 \nL 98.747123 97.265686 \nL 103.532072 98.908065 \nL 108.028107 100.957465 \nL 112.199241 103.298259 \nL 116.027962 105.830303 \nL 119.511151 108.470747 \nL 122.656347 111.153775 \nL 125.478591 113.829075 \nL 127.997886 116.459681 \nL 130.237218 119.019595 \nL 132.221087 121.491525 \nL 135.521801 126.134063 \nL 138.09237 130.354629 \nL 140.10683 134.163435 \nL 142.407743 139.170389 \nL 146.305653 148.137751 \nL 147.39453 150.116151 \nL 148.58202 151.8607 \nL 149.91986 153.373184 \nL 151.459279 154.647051 \nL 153.253259 155.666443 \nL 155.358215 156.404783 \nL 157.834889 156.822878 \nL 160.748078 156.866558 \nL 164.164537 156.464135 \nL 166.081742 156.06789 \nL 168.147982 155.524277 \nL 170.369203 154.818744 \nL 172.749632 153.935675 \nL 175.291089 152.858672 \nL 177.992132 151.570991 \nL 180.847037 150.056219 \nL 183.844613 148.299222 \nL 186.966854 146.287421 \nL 190.187498 144.012455 \nL 193.470582 141.472225 \nL 196.769111 138.673319 \nL 200.024074 135.633688 \nL 203.164061 132.38535 \nL 206.105811 128.976802 \nL 208.756034 125.474594 \nL 211.014808 121.963517 \nL 212.780707 118.54472 \nL 213.957605 115.331273 \nL 214.462672 112.440988 \nL 214.234778 109.986842 \nL 213.242093 108.066043 \nL 211.487514 106.749393 \nL 209.01078 106.072898 \nL 205.886502 106.033447 \nL 202.218244 106.589628 \nL 198.129487 107.667647 \nL 193.753021 109.171091 \nL 189.220446 110.992644 \nL 184.653275 113.025436 \nL 175.81551 117.35214 \nL 167.83735 121.579892 \nL 161.00936 125.424324 \nL 155.390481 128.821696 \nL 150.899386 131.828576 \nL 147.387191 134.542291 \nL 144.684436 137.055606 \nL 142.627266 139.438579 \nL 141.069898 141.736143 \nL 139.888956 143.972593 \nL 138.983373 146.1579 \nL 137.968671 149.341711 \nL 136.725218 154.367061 \nL 135.52693 158.998447 \nL 134.647729 161.585454 \nL 133.54178 164.037899 \nL 132.630145 165.603951 \nL 131.53897 167.118964 \nL 130.227016 168.585392 \nL 128.645109 170.003422 \nL 126.734448 171.369101 \nL 124.424996 172.671468 \nL 121.634224 173.888143 \nL 118.266846 174.978655 \nL 114.216665 175.874505 \nL 111.900697 176.216948 \nL 109.372583 176.464866 \nL 106.619886 176.5946 \nL 103.632223 176.577138 \nL 100.402495 176.377319 \nL 96.928521 175.953074 \nL 93.215085 175.254872 \nL 89.276483 174.225524 \nL 85.139532 172.800648 \nL 80.846962 170.910147 \nL 76.460967 168.481115 \nL 72.06649 165.442702 \nL 67.773589 161.73328 \nL 63.717936 157.310168 \nL 60.058361 152.161463 \nL 56.97029 146.318939 \nL 54.634358 139.869811 \nL 53.220288 132.964292 \nL 52.867551 125.815437 \nL 53.665745 118.688443 \nL 55.638857 111.878674 \nL 58.737456 105.68077 \nL 62.841558 100.354485 \nL 67.77404 96.094577 \nL 73.321799 93.011381 \nL 79.259847 91.125766 \nL 85.373387 90.377982 \nL 91.474287 90.646508 \nL 97.410485 91.771448 \nL 103.06877 93.577301 \nL 108.372608 95.891499 \nL 113.277055 98.557277 \nL 117.762454 101.440766 \nL 121.828203 104.433512 \nL 125.487257 107.451664 \nL 128.76164 110.433313 \nL 131.678995 113.334905 \nL 134.270021 116.127545 \nL 138.60078 121.323591 \nL 142.004159 125.965875 \nL 144.709288 130.067203 \nL 152.081757 141.920177 \nL 153.710245 143.935023 \nL 155.441361 145.613249 \nL 157.346542 146.95621 \nL 159.489681 147.953036 \nL 160.668839 148.314798 \nL 161.92883 148.580186 \nL 163.276004 148.744223 \nL 164.716253 148.801107 \nL 166.254872 148.744245 \nL 167.896397 148.566297 \nL 169.644374 148.259255 \nL 171.501072 147.814574 \nL 173.467125 147.223353 \nL 175.5411 146.476616 \nL 177.718998 145.565677 \nL 179.993673 144.482622 \nL 182.354197 143.220935 \nL 184.785195 141.776285 \nL 187.266162 140.147436 \nL 189.77085 138.33734 \nL 192.266774 136.3543 \nL 194.714935 134.213199 \nL 197.0699 131.936634 \nL 199.280334 129.555837 \nL 201.29011 127.111165 \nL 203.040116 124.651964 \nL 204.47076 122.235571 \nL 205.525152 119.925315 \nL 206.152763 117.78746 \nL 206.313306 115.887203 \nL 205.980384 114.284053 \nL 205.144435 113.027107 \nL 203.814539 112.150836 \nL 202.018715 111.672094 \nL 199.802556 111.588812 \nL 197.226317 111.880685 \nL 194.360824 112.5117 \nL 191.282722 113.434173 \nL 188.069664 114.593504 \nL 184.795994 115.933057 \nL 178.328139 118.940779 \nL 172.304305 122.100002 \nL 166.985617 125.182311 \nL 162.488828 128.079484 \nL 158.826351 130.766267 \nL 155.946987 133.260735 \nL 153.768203 135.595155 \nL 152.198238 137.799321 \nL 151.149603 139.89349 \nL 150.546418 141.887057 \nL 150.32773 143.779901 \nL 150.448421 145.564438 \nL 150.878818 147.227477 \nL 151.603704 148.751349 \nL 152.621126 150.114272 \nL 153.941214 151.290007 \nL 155.585023 152.246852 \nL 157.58329 152.946109 \nL 159.974827 153.340122 \nL 162.804088 153.370123 \nL 166.117194 152.964263 \nL 169.955399 152.036604 \nL 172.080506 151.346633 \nL 174.344632 150.488431 \nL 176.746011 149.44863 \nL 179.279556 148.214218 \nL 181.935982 146.773231 \nL 184.700815 145.115673 \nL 187.553343 143.234689 \nL 190.465557 141.128024 \nL 193.401178 138.799698 \nL 196.314888 136.261893 \nL 199.151956 133.536871 \nL 201.848455 130.658766 \nL 204.332299 127.674894 \nL 206.525284 124.646257 \nL 208.346337 121.646821 \nL 209.715906 118.761184 \nL 210.561372 116.080433 \nL 210.823045 113.69626 \nL 210.460054 111.693717 \nL 209.455337 110.143489 \nL 207.81884 109.094823 \nL 205.588254 108.570377 \nL 202.826957 108.563958 \nL 199.619345 109.041765 \nL 196.064185 109.946866 \nL 192.267029 111.206122 \nL 188.332735 112.738287 \nL 184.35906 114.461822 \nL 176.622737 118.192726 \nL 169.565342 121.938701 \nL 163.458067 125.446652 \nL 158.383795 128.633068 \nL 154.30302 131.515813 \nL 151.111001 134.154625 \nL 148.677764 136.613797 \nL 146.87243 138.944729 \nL 145.5762 141.181269 \nL 144.688083 143.341473 \nL 144.126391 145.431631 \nL 143.827942 147.450348 \nL 143.746228 149.391795 \nL 143.849265 151.247909 \nL 144.117558 153.009654 \nL 144.542385 154.667511 \nL 145.124499 156.211449 \nL 145.873278 157.630435 \nL 146.806305 158.911651 \nL 147.949327 160.039386 \nL 149.336548 160.993583 \nL 151.011139 161.748011 \nL 153.025825 162.267895 \nL 155.443296 162.506959 \nL 158.335983 162.403755 \nL 161.784471 161.877387 \nL 165.873305 160.823017 \nL 168.183333 160.057597 \nL 170.682223 159.108317 \nL 173.376545 157.954307 \nL 176.269959 156.573366 \nL 179.362033 154.942515 \nL 182.646786 153.038891 \nL 186.110959 150.841071 \nL 189.732029 148.330908 \nL 193.47604 145.496017 \nL 197.295377 142.332886 \nL 201.126733 138.850651 \nL 204.889596 135.075268 \nL 208.485758 131.053776 \nL 211.800366 126.857951 \nL 214.705181 122.586437 \nL 217.064449 118.364271 \nL 218.743685 114.338611 \nL 219.620968 110.669966 \nL 219.599754 107.518858 \nL 218.621407 105.029135 \nL 216.675149 103.310435 \nL 213.803134 102.423208 \nL 210.099034 102.369886 \nL 205.699849 103.094582 \nL 200.772254 104.491743 \nL 195.496089 106.421766 \nL 190.048042 108.730005 \nL 184.588187 111.26503 \nL 174.140848 116.506686 \nL 160.784871 123.621954 \nL 150.751449 129.26136 \nL 145.742638 132.335353 \nL 141.829842 135.044648 \nL 138.785398 137.524418 \nL 136.399632 139.869169 \nL 134.490841 142.135641 \nL 132.906727 144.352116 \nL 130.232232 148.662055 \nL 128.292357 151.766834 \nL 126.890869 153.756687 \nL 125.32839 155.667488 \nL 123.544709 157.483607 \nL 121.479925 159.185059 \nL 119.072856 160.744565 \nL 116.260739 162.123413 \nL 112.980777 163.26593 \nL 111.146709 163.724824 \nL 109.174472 164.092432 \nL 107.058824 164.353667 \nL 104.796168 164.490865 \nL 102.385193 164.483544 \nL 99.827645 164.308227 \nL 97.129258 163.938391 \nL 94.300829 163.344604 \nL 91.359429 162.494925 \nL 88.329699 161.355722 \nL 85.245126 159.89295 \nL 82.14921 158.074085 \nL 79.096265 155.870738 \nL 76.151667 153.262029 \nL 73.391192 150.238603 \nL 70.899204 146.807032 \nL 68.765387 142.994175 \nL 67.079987 138.850754 \nL 65.927649 134.453391 \nL 65.380371 129.904108 \nL 65.490353 125.326745 \nL 66.283807 120.860003 \nL 67.756848 116.647543 \nL 69.874335 112.826443 \nL 72.572059 109.515556 \nL 75.762051 106.80578 \nL 79.340117 104.753733 \nL 83.194401 103.37966 \nL 87.213668 102.669569 \nL 91.294249 102.580694 \nL 95.345029 103.048993 \nL 99.290306 103.997313 \nL 103.070752 105.342998 \nL 106.642864 107.004169 \nL 109.97744 108.904318 \nL 113.057517 110.9752 \nL 115.87613 113.158278 \nL 118.434157 115.405037 \nL 120.738359 117.676494 \nL 122.799712 119.942257 \nL 124.632026 122.179356 \nL 126.250835 124.371024 \nL 127.672543 126.505531 \nL 129.990815 130.575285 \nL 131.714356 134.359881 \nL 132.957365 137.859921 \nL 133.816449 141.091408 \nL 134.36971 144.077371 \nL 134.677677 146.843034 \nL 134.785115 149.413233 \nL 134.723082 151.811092 \nL 134.510888 154.057485 \nL 134.157741 156.170903 \nL 133.663993 158.167524 \nL 133.021949 160.061334 \nL 132.216259 161.864216 \nL 131.223896 163.585856 \nL 130.013769 165.233439 \nL 128.546029 166.810912 \nL 126.771132 168.317672 \nL 124.628828 169.746375 \nL 122.047333 171.079464 \nL 118.943205 172.283813 \nL 115.222814 173.302744 \nL 113.100523 173.715781 \nL 110.787024 174.044531 \nL 108.270776 174.269482 \nL 105.54171 174.366735 \nL 102.592178 174.307347 \nL 99.418212 174.056662 \nL 96.0211 173.573777 \nL 92.409369 172.811236 \nL 88.601164 171.715143 \nL 84.626968 170.225965 \nL 80.532583 168.28035 \nL 76.382081 165.81428 \nL 72.260303 162.768022 \nL 68.274314 159.09304 \nL 64.552952 154.760907 \nL 61.243587 149.773721 \nL 58.505235 144.174802 \nL 56.497628 138.057709 \nL 55.366661 131.570931 \nL 55.227725 124.915542 \nL 56.149602 118.333889 \nL 58.14232 112.089261 \nL 61.152091 106.439114 \nL 65.065113 101.606542 \nL 69.719879 97.756063 \nL 74.925397 94.978624 \nL 80.481456 93.288435 \nL 86.197049 92.631014 \nL 91.904153 92.899163 \nL 97.465733 93.952567 \nL 102.778316 95.636842 \nL 107.770469 97.799262 \nL 112.398707 100.299845 \nL 116.642309 103.017714 \nL 120.49804 105.853643 \nL 123.975393 108.729694 \nL 127.092623 111.587233 \nL 129.873614 114.384027 \nL 132.345508 117.091173 \nL 134.536978 119.690161 \nL 138.193908 124.526683 \nL 141.066123 128.867073 \nL 143.352801 132.731084 \nL 146.827506 139.18527 \nL 148.97958 143.063659 \nL 150.385767 145.246908 \nL 151.861713 147.128725 \nL 153.476048 148.715377 \nL 155.291739 150.002476 \nL 157.368669 150.974208 \nL 158.523373 151.333496 \nL 159.765166 151.60231 \nL 161.101114 151.774989 \nL 162.538102 151.844948 \nL 164.082721 151.804667 \nL 165.741107 151.645681 \nL 167.518723 151.358605 \nL 169.420073 150.933199 \nL 171.44834 150.358495 \nL 173.604927 149.622986 \nL 175.888912 148.71494 \nL 178.29639 147.622829 \nL 180.819717 146.335927 \nL 183.446664 144.845094 \nL 186.159508 143.143774 \nL 188.934093 141.229237 \nL 191.738962 139.104019 \nL 194.534638 136.777538 \nL 197.27321 134.267791 \nL 199.898376 131.602953 \nL 202.346152 128.82268 \nL 204.546425 125.978768 \nL 206.42547 123.134886 \nL 207.909506 120.36502 \nL 208.929197 117.750408 \nL 209.424782 115.374934 \nL 209.351373 113.319201 \nL 208.683736 111.653882 \nL 207.419855 110.433192 \nL 205.58256 109.689574 \nL 203.218871 109.430496 \nL 200.396939 109.638078 \nL 197.201002 110.271617 \nL 193.725037 111.27263 \nL 190.066054 112.571453 \nL 186.31786 114.094254 \nL 178.884457 117.532673 \nL 171.959187 121.119458 \nL 165.861227 124.564089 \nL 160.722439 127.741468 \nL 156.54323 130.637262 \nL 153.247324 133.291523 \nL 150.72325 135.758957 \nL 148.851304 138.087682 \nL 147.519022 140.311399 \nL 146.628893 142.449015 \nL 146.101268 144.507496 \nL 145.874561 146.485408 \nL 145.90409 148.375929 \nL 146.160384 150.168996 \nL 146.627466 151.852483 \nL 147.301349 153.412619 \nL 148.188907 154.833739 \nL 149.307117 156.097505 \nL 150.682656 157.181676 \nL 152.351748 158.058406 \nL 154.360086 158.692076 \nL 156.762557 159.036593 \nL 159.622301 159.032209 \nL 163.00837 158.602 \nL 166.990825 157.648545 \nL 169.225728 156.939025 \nL 171.631535 156.052034 \nL 174.212096 154.969406 \nL 176.968259 153.67221 \nL 179.896796 152.141361 \nL 182.98913 150.358504 \nL 186.229863 148.307278 \nL 189.595131 145.974998 \nL 193.050887 143.35482 \nL 196.551215 140.448389 \nL 200.03691 137.268878 \nL 203.434605 133.844265 \nL 206.656812 130.220437 \nL 209.603325 126.463638 \nL 212.164349 122.661551 \nL 214.22572 118.922165 \nL 215.676212 115.369702 \nL 216.416574 112.137229 \nL 216.369501 109.356026 \nL 215.489102 107.142774 \nL 213.768295 105.58639 \nL 211.24243 104.736981 \nL 207.988132 104.599289 \nL 204.117159 105.132356 \nL 199.766174 106.255592 \nL 195.084246 107.860062 \nL 190.220211 109.822487 \nL 185.311827 112.019201 \nL 175.814491 116.684089 \nL 167.261613 121.198111 \nL 159.968362 125.244875 \nL 153.987346 128.765855 \nL 149.216742 131.838724 \nL 145.483731 134.58333 \nL 142.59652 137.110176 \nL 140.372138 139.501132 \nL 138.648893 141.808016 \nL 137.290082 144.058646 \nL 135.69469 147.351287 \nL 131.733088 156.565216 \nL 130.674248 158.449634 \nL 129.452592 160.267067 \nL 128.02173 162.013602 \nL 126.330793 163.683048 \nL 124.322679 165.264737 \nL 121.932749 166.740369 \nL 119.088337 168.079508 \nL 115.709679 169.233164 \nL 113.793929 169.717929 \nL 111.713436 170.124913 \nL 109.458516 170.438335 \nL 107.02062 170.639061 \nL 104.39304 170.704118 \nL 101.571814 170.606197 \nL 98.556881 170.313252 \nL 95.353504 169.788237 \nL 91.97398 168.989116 \nL 88.439618 167.86931 \nL 84.782911 166.378773 \nL 81.049796 164.465964 \nL 77.301698 162.080928 \nL 73.617038 159.179744 \nL 70.0917 155.7304 \nL 66.837818 151.719932 \nL 63.980305 147.16231 \nL 61.650641 142.10603 \nL 59.977782 136.639883 \nL 59.076746 130.895085 \nL 59.036076 125.042017 \nL 59.90622 119.280487 \nL 61.691061 113.823884 \nL 64.344711 108.879147 \nL 67.774603 104.625876 \nL 71.850592 101.198611 \nL 76.418304 98.675622 \nL 81.314153 97.075964 \nL 86.379358 96.364523 \nL 91.470937 96.463018 \nL 96.468722 97.26412 \nL 101.278392 98.645745 \nL 105.83131 100.483502 \nL 110.08213 102.659975 \nL 114.005251 105.070715 \nL 117.590895 107.627215 \nL 120.84134 110.257561 \nL 123.767621 112.905539 \nL 126.386785 115.528821 \nL 128.719732 118.096802 \nL 130.789547 120.588355 \nL 132.620262 122.9898 \nL 135.66015 127.494503 \nL 138.022701 131.590319 \nL 139.87167 135.292072 \nL 141.982374 140.172978 \nL 145.566155 148.987669 \nL 146.571207 150.95405 \nL 147.669252 152.700042 \nL 148.908566 154.228073 \nL 150.337371 155.532947 \nL 152.006087 156.600936 \nL 153.969117 157.408455 \nL 156.286025 157.920177 \nL 159.021804 158.086642 \nL 162.245701 157.841412 \nL 166.027652 157.098239 \nL 168.148236 156.507054 \nL 170.430906 155.749226 \nL 172.880355 154.80806 \nL 175.498759 153.665971 \nL 178.284859 152.304954 \nL 181.232849 150.707297 \nL 184.331093 148.856606 \nL 187.56064 146.739199 \nL 190.893657 144.345913 \nL 194.291825 141.674368 \nL 197.704874 138.731646 \nL 201.069507 135.537234 \nL 204.308976 132.126039 \nL 207.33373 128.551032 \nL 210.043489 124.884949 \nL 212.331092 121.22038 \nL 214.088292 117.667494 \nL 215.213385 114.34883 \nL 215.620139 111.39105 \nL 215.247026 108.91401 \nL 214.065362 107.018579 \nL 212.084855 105.774976 \nL 209.355204 105.214102 \nL 205.963122 105.323646 \nL 202.024998 106.0502 \nL 197.6764 107.306855 \nL 193.060192 108.984831 \nL 188.315227 110.966661 \nL 183.567178 113.138445 \nL 174.464897 117.667437 \nL 166.336773 122.002539 \nL 159.442247 125.885599 \nL 153.807772 129.282649 \nL 149.325538 132.273034 \nL 145.827643 134.96776 \nL 143.131875 137.466164 \nL 141.066093 139.840519 \nL 139.479048 142.135775 \nL 138.24348 144.375455 \nL 137.255108 146.568665 \nL 136.056321 149.771739 \nL 133.567081 156.77373 \nL 132.281063 159.547596 \nL 131.256599 161.318491 \nL 130.052299 163.02637 \nL 128.623673 164.669851 \nL 126.919846 166.244902 \nL 124.881921 167.742605 \nL 122.441702 169.145885 \nL 119.521116 170.424686 \nL 116.033072 171.529005 \nL 114.047357 171.992283 \nL 111.885001 172.378973 \nL 109.534936 172.672207 \nL 106.987212 172.851373 \nL 104.233765 172.891503 \nL 101.269432 172.762694 \nL 98.09326 172.429572 \nL 94.710129 171.850937 \nL 91.132732 170.979687 \nL 87.383885 169.763266 \nL 83.49911 168.144831 \nL 79.529305 166.065495 \nL 75.543225 163.467945 \nL 71.629317 160.301693 \nL 67.896274 156.530142 \nL 64.471555 152.13919 \nL 61.497071 147.146752 \nL 59.121499 141.611824 \nL 57.489078 135.641136 \nL 56.725672 129.39101 \nL 56.923781 123.062285 \nL 58.129149 116.887212 \nL 60.331874 111.109008 \nL 63.464392 105.957055 \nL 67.407367 101.622304 \nL 72.002452 98.237873 \nL 77.069342 95.868653 \nL 82.423688 94.511312 \nL 87.892664 94.103474 \nL 93.326147 94.538965 \nL 98.602832 95.68533 \nL 103.631809 97.400296 \nL 108.350761 99.54498 \nL 112.722171 101.993053 \nL 116.728681 104.63583 \nL 120.368431 107.384146 \nL 123.650883 110.167869 \nL 126.59334 112.934046 \nL 129.21817 115.644329 \nL 131.550697 118.272261 \nL 133.61764 120.800708 \nL 137.062222 125.524073 \nL 139.758722 129.787697 \nL 141.893092 133.607877 \nL 144.383619 138.582642 \nL 147.641744 145.160917 \nL 148.899611 147.275021 \nL 150.239048 149.118503 \nL 151.721215 150.695899 \nL 153.403987 152.002137 \nL 155.344472 153.021644 \nL 157.600677 153.727138 \nL 160.232081 154.078033 \nL 161.707272 154.103757 \nL 163.298648 154.018702 \nL 165.013246 153.813319 \nL 166.857551 153.476975 \nL 168.837187 152.998001 \nL 170.956518 152.363792 \nL 173.218144 151.560983 \nL 175.62229 150.575745 \nL 178.166059 149.394237 \nL 180.84255 148.003236 \nL 183.639868 146.390999 \nL 186.540021 144.548399 \nL 189.517771 142.470341 \nL 192.539513 140.15747 \nL 195.56231 137.618145 \nL 198.533246 134.870535 \nL 201.38931 131.944682 \nL 204.058049 128.884242 \nL 206.459263 125.747517 \nL 208.507905 122.607343 \nL 210.118319 119.549374 \nL 211.209695 116.668426 \nL 211.712388 114.062805 \nL 211.57448 111.826894 \nL 210.767746 110.042764 \nL 209.291978 108.771973 \nL 207.176855 108.048938 \nL 204.480802 107.877277 \nL 201.286799 108.229789 \nL 197.695751 109.052272 \nL 193.818391 110.270462 \nL 189.766959 111.798654 \nL 185.647795 113.548596 \nL 177.570059 117.392069 \nL 170.153077 121.282246 \nL 163.708311 124.925848 \nL 158.33822 128.221258 \nL 154.007907 131.184161 \nL 150.608577 133.880141 \nL 148.002171 136.38163 \nL 146.048438 138.747453 \nL 144.619313 141.017166 \nL 143.605223 143.212825 \nL 142.91668 145.343417 \nL 142.483373 147.409462 \nL 142.252084 149.406725 \nL 142.203011 152.259406 \nL 142.444213 154.919244 \nL 142.943329 157.363815 \nL 143.420862 158.863267 \nL 144.024973 160.250525 \nL 144.77201 161.517458 \nL 145.68484 162.653839 \nL 146.793351 163.646248 \nL 148.135229 164.476659 \nL 149.756946 165.120637 \nL 151.714834 165.544972 \nL 154.076054 165.704595 \nL 156.919066 165.538643 \nL 160.332893 164.965607 \nL 164.413997 163.877814 \nL 169.258721 162.136168 \nL 171.994024 160.967313 \nL 174.94819 159.567474 \nL 178.124545 157.910423 \nL 181.521164 155.969177 \nL 185.129002 153.717223 \nL 188.929663 151.130334 \nL 192.892874 148.1891 \nL 196.973754 144.882292 \nL 201.110099 141.211082 \nL 205.220065 137.194016 \nL 209.200743 132.872386 \nL 212.928317 128.315378 \nL 216.260624 123.623896 \nL 219.042813 118.931733 \nL 221.116664 114.402487 \nL 222.333417 110.220908 \nL 222.569224 106.578135 \nL 221.741202 103.651757 \nL 219.821137 101.583493 \nL 216.843787 100.458779 \nL 212.907131 100.293259 \nL 208.163809 101.030021 \nL 202.804957 102.548703 \nL 197.039779 104.684446 \nL 191.074882 107.25197 \nL 185.097132 110.069225 \nL 173.68944 115.845228 \nL 155.22579 125.635819 \nL 145.613873 130.94256 \nL 140.887415 133.79722 \nL 137.200942 136.323203 \nL 134.305306 138.656033 \nL 131.982257 140.880866 \nL 130.047957 143.042778 \nL 126.765271 147.230003 \nL 124.376244 150.226596 \nL 122.653479 152.125562 \nL 120.742001 153.919157 \nL 118.576713 155.57885 \nL 116.097052 157.068297 \nL 113.246884 158.339703 \nL 111.666995 158.874428 \nL 109.976636 159.329093 \nL 108.171483 159.692263 \nL 106.248478 159.950795 \nL 104.206239 160.089682 \nL 102.045545 160.091936 \nL 99.769929 159.938566 \nL 97.386355 159.608638 \nL 94.905979 159.079504 \nL 92.344975 158.327251 \nL 89.725372 157.327418 \nL 87.07584 156.056071 \nL 84.432331 154.491257 \nL 81.838448 152.614918 \nL 79.345374 150.415184 \nL 77.011206 147.889044 \nL 74.899526 145.045144 \nL 73.077094 141.906443 \nL 71.610624 138.512334 \nL 70.562754 134.919754 \nL 69.987508 131.202796 \nL 69.925666 127.450467 \nL 70.40069 123.762486 \nL 71.415754 120.243287 \nL 72.952476 116.994891 \nL 74.971605 114.109466 \nL 77.415674 111.662623 \nL 80.213237 109.708437 \nL 83.284118 108.276775 \nL 86.544906 107.373202 \nL 89.914056 106.98118 \nL 93.316041 107.06597 \nL 96.684326 107.579549 \nL 99.963063 108.465715 \nL 103.107673 109.664782 \nL 106.084551 111.117499 \nL 108.870146 112.767961 \nL 111.449697 114.565551 \nL 113.815798 116.465975 \nL 115.966978 118.431623 \nL 117.906375 120.431409 \nL 119.640552 122.44028 \nL 121.178488 124.438548 \nL 122.530741 126.411147 \nL 123.708765 128.346884 \nL 125.589326 132.078296 \nL 126.912166 135.596374 \nL 127.760128 138.890613 \nL 128.202323 141.965425 \nL 128.292343 144.832914 \nL 128.068127 147.508277 \nL 127.552648 150.006836 \nL 126.754942 152.342087 \nL 125.671158 154.524172 \nL 124.285525 156.558485 \nL 122.571218 158.444015 \nL 120.491292 160.17113 \nL 117.999976 161.718494 \nL 115.044862 163.048742 \nL 113.376096 163.614983 \nL 111.570816 164.102633 \nL 109.622831 164.499636 \nL 107.526886 164.791558 \nL 105.279167 164.9613 \nL 102.87794 164.988838 \nL 100.324326 164.851021 \nL 97.62324 164.521474 \nL 94.784487 163.970679 \nL 91.824001 163.166318 \nL 88.765187 162.073998 \nL 85.640305 160.658453 \nL 82.491715 158.885384 \nL 79.372865 156.724044 \nL 76.348705 154.150576 \nL 73.495258 151.152091 \nL 70.89803 147.731249 \nL 68.64892 143.910914 \nL 66.841575 139.738168 \nL 65.565189 135.286851 \nL 64.897249 130.657677 \nL 64.895954 125.975105 \nL 65.593463 121.380681 \nL 66.991117 117.023128 \nL 69.057657 113.046336 \nL 71.730975 109.577048 \nL 74.923224 106.714163 \nL 78.528475 104.521472 \nL 82.431653 103.024851 \nL 86.517328 102.213898 \nL 90.677227 102.047354 \nL 94.815712 102.460822 \nL 98.85301 103.375319 \nL 102.726389 104.705408 \nL 106.389684 106.365952 \nL 109.811766 108.277106 \nL 112.9744 110.367505 \nL 115.869898 112.575875 \nL 118.498834 114.851425 \nL 120.86799 117.153364 \nL 122.988592 119.449932 \nL 124.874854 121.717159 \nL 126.54282 123.937592 \nL 128.009458 126.099064 \nL 130.407275 130.216433 \nL 132.20055 134.039851 \nL 133.507972 137.570328 \nL 134.430275 140.824707 \nL 135.049335 143.826923 \nL 135.429197 146.603039 \nL 135.618014 149.178597 \nL 135.615252 152.717094 \nL 135.327101 155.927065 \nL 134.777343 158.866576 \nL 133.952411 161.583292 \nL 133.227664 163.29018 \nL 132.338074 164.924951 \nL 131.254166 166.495264 \nL 129.938427 168.006456 \nL 128.344217 169.460561 \nL 126.41449 170.854599 \nL 124.080521 172.177808 \nL 121.260969 173.407275 \nL 117.861937 174.501232 \nL 113.779235 175.389098 \nL 111.447606 175.722397 \nL 108.90493 175.95719 \nL 106.139468 176.069372 \nL 103.141706 176.029491 \nL 99.905627 175.80198 \nL 96.430355 175.34447 \nL 92.722234 174.607306 \nL 88.797369 173.533481 \nL 84.684603 172.059236 \nL 80.428835 170.11573 \nL 76.094425 167.632147 \nL 71.768243 164.54074 \nL 67.561687 160.784173 \nL 63.610774 156.325207 \nL 60.073187 151.15834 \nL 57.121273 145.322172 \nL 54.930368 138.910272 \nL 53.662736 132.077528 \nL 53.448745 125.038716 \nL 54.368255 118.056732 \nL 56.436267 111.420209 \nL 59.596579 105.413161 \nL 63.72572 100.28228 \nL 68.646826 96.208909 \nL 74.150456 93.291767 \nL 80.017747 91.543479 \nL 86.041257 90.900148 \nL 92.040255 91.240048 \nL 97.869235 92.406138 \nL 103.420235 94.227724 \nL 108.620529 96.537908 \nL 113.427639 99.185531 \nL 117.823296 102.041739 \nL 121.80746 105.002208 \nL 125.393083 107.986268 \nL 128.60182 110.934287 \nL 131.460732 113.804244 \nL 133.999826 116.568194 \nL 138.243326 121.717412 \nL 141.57686 126.327354 \nL 144.224443 130.409676 \nL 148.210678 137.154445 \nL 150.635474 141.141493 \nL 152.196982 143.353108 \nL 153.818506 145.23126 \nL 155.575384 146.783676 \nL 157.534658 148.006371 \nL 158.609521 148.489496 \nL 159.757593 148.88312 \nL 160.985821 149.183201 \nL 162.30085 149.38487 \nL 163.708955 149.482404 \nL 165.215933 149.469253 \nL 166.826957 149.338046 \nL 168.546361 149.080667 \nL 170.37738 148.688337 \nL 172.321808 148.151774 \nL 174.37959 147.461405 \nL 176.54833 146.607707 \nL 178.822721 145.581631 \nL 181.1939 144.375166 \nL 183.648745 142.982082 \nL 186.169143 141.398816 \nL 188.731286 139.625536 \nL 191.305027 137.667353 \nL 193.853436 135.535622 \nL 196.332647 133.249239 \nL 198.692101 130.835801 \nL 200.875392 128.332435 \nL 202.821754 125.786065 \nL 204.468354 123.252867 \nL 205.753332 120.79672 \nL 206.619497 118.48651 \nL 207.018442 116.392281 \nL 206.914659 114.580522 \nL 206.289159 113.109009 \nL 205.142079 112.021876 \nL 203.493815 111.345663 \nL 201.384372 111.086976 \nL 198.870949 111.232257 \nL 196.024019 111.749704 \nL 192.922424 112.593003 \nL 189.648124 113.706288 \nL 186.281268 115.029498 \nL 179.557795 118.073421 \nL 173.229081 121.323718 \nL 167.59796 124.514525 \nL 162.807808 127.514419 \nL 158.883973 130.288497 \nL 155.778395 132.854312 \nL 153.405753 135.248082 \nL 151.668446 137.504891 \nL 150.47194 139.649984 \nL 149.733142 141.696839 \nL 149.384224 143.648549 \nL 149.373727 145.500168 \nL 149.666186 147.240902 \nL 150.241072 148.8556 \nL 151.091549 150.325436 \nL 152.223254 151.627827 \nL 153.653234 152.73568 \nL 155.408952 153.616035 \nL 157.527204 154.22821 \nL 160.052596 154.521557 \nL 163.035049 154.433021 \nL 166.525514 153.884977 \nL 168.475754 153.410087 \nL 170.568718 152.784161 \nL 172.807097 151.993369 \nL 175.191384 151.023384 \nL 177.719141 149.859798 \nL 180.384114 148.488707 \nL 183.175235 146.897542 \nL 186.07551 145.076146 \nL 189.060846 143.018172 \nL 192.098883 140.722755 \nL 195.147957 138.196484 \nL 198.156344 135.455525 \nL 201.062018 132.527772 \nL 203.793134 129.454704 \nL 206.269533 126.292641 \nL 208.405443 123.11287 \nL 210.113569 120.000245 \nL 211.310441 117.049833 \nL 211.92276 114.361459 \nL 211.894136 112.032398 \nL 211.191358 110.148872 \nL 209.809191 108.77749 \nL 207.77275 107.958131 \nL 205.136878 107.699546 \nL 201.982333 107.978736 \nL 198.409334 108.744271 \nL 194.529431 109.922975 \nL 190.456935 111.428612 \nL 186.301138 113.171089 \nL 178.117153 117.033567 \nL 170.571815 120.96761 \nL 163.996943 124.66018 \nL 158.507099 127.998449 \nL 154.072637 130.994294 \nL 150.585522 133.713936 \nL 147.906006 136.232273 \nL 145.891048 138.61088 \nL 144.409461 140.891616 \nL 143.348609 143.098199 \nL 142.616164 145.240742 \nL 142.139219 147.320496 \nL 141.862172 149.333723 \nL 141.735559 152.215511 \nL 141.881792 154.912104 \nL 142.260279 157.403456 \nL 142.867129 159.671602 \nL 143.410663 161.050647 \nL 144.082194 162.315727 \nL 144.902773 163.458472 \nL 145.899874 164.467757 \nL 147.108194 165.328496 \nL 148.570669 166.020049 \nL 150.339659 166.514167 \nL 152.478155 166.772258 \nL 155.060737 166.741817 \nL 158.17376 166.351884 \nL 161.913881 165.507536 \nL 166.383316 164.083895 \nL 168.922557 163.106326 \nL 171.679234 161.921114 \nL 174.661369 160.502681 \nL 177.873337 158.823707 \nL 181.314299 156.855868 \nL 184.97627 154.571051 \nL 188.841816 151.943173 \nL 192.88138 148.950753 \nL 197.050389 145.58039 \nL 201.286329 141.831153 \nL 205.506156 137.719838 \nL 209.604612 133.286732 \nL 213.454143 128.601229 \nL 216.907291 123.766198 \nL 219.802411 118.919596 \nL 221.973282 114.231648 \nL 223.262588 109.896041 \nL 223.53838 106.114455 \nL 222.711319 103.075317 \nL 220.749626 100.929737 \nL 217.688249 99.769242 \nL 213.629413 99.610973 \nL 208.733512 100.394404 \nL 203.201783 101.991193 \nL 197.25428 104.225706 \nL 191.107687 106.901146 \nL 184.957035 109.825046 \nL 173.250242 115.781283 \nL 150.760623 127.688466 \nL 142.093834 132.517921 \nL 137.861703 135.157967 \nL 134.550247 137.538422 \nL 131.917522 139.772393 \nL 129.757401 141.924503 \nL 127.03779 145.056753 \nL 122.848866 150.00511 \nL 121.015781 151.841146 \nL 118.97954 153.557264 \nL 116.676166 155.119632 \nL 114.047937 156.485273 \nL 111.044157 157.598273 \nL 109.388276 158.037897 \nL 107.624518 158.385171 \nL 105.750566 158.62736 \nL 103.765826 158.750071 \nL 101.671879 158.737167 \nL 99.473025 158.570779 \nL 97.176893 158.231423 \nL 94.795134 157.698259 \nL 92.344126 156.949568 \nL 89.845706 155.963468 \nL 87.327807 154.718938 \nL 84.824953 153.197218 \nL 82.378478 151.383528 \nL 80.036341 149.269151 \nL 77.852401 146.853774 \nL 75.885015 144.147875 \nL 74.194872 141.17495 \nL 72.842076 137.973186 \nL 71.882571 134.596228 \nL 71.364183 131.112633 \nL 71.322635 127.603732 \nL 71.778091 124.159862 \nL 72.73267 120.875115 \nL 74.169412 117.841178 \nL 76.052903 115.140968 \nL 78.331547 112.842857 \nL 80.941199 110.996399 \nL 83.809661 109.629938 \nL 86.861432 108.750395 \nL 90.02217 108.344997 \nL 93.222403 108.384537 \nL 96.400247 108.82747 \nL 99.503066 109.62432 \nL 102.488158 110.721803 \nL 105.322641 112.066338 \nL 107.982783 113.606733 \nL 110.452957 115.296055 \nL 112.724445 117.092703 \nL 114.79418 118.960887 \nL 116.663566 120.870603 \nL 118.337399 122.797307 \nL 119.822928 124.721383 \nL 121.129063 126.627521 \nL 122.265722 128.504089 \nL 124.07229 132.136692 \nL 125.324839 135.577624 \nL 126.098265 138.811142 \nL 126.455229 141.8368 \nL 126.444006 144.662268 \nL 126.098 147.298585 \nL 125.436163 149.75693 \nL 124.463862 152.046308 \nL 123.173894 154.171629 \nL 121.547589 156.131761 \nL 119.556069 157.917265 \nL 117.161905 159.507406 \nL 114.321655 160.866225 \nL 112.720002 161.442238 \nL 110.990022 161.937354 \nL 109.126884 162.340293 \nL 107.126711 162.637652 \nL 104.987055 162.813692 \nL 102.707472 162.850139 \nL 100.290216 162.726059 \nL 97.741063 162.417845 \nL 95.070258 161.899349 \nL 92.293562 161.142259 \nL 89.433372 160.116805 \nL 86.519834 158.792876 \nL 83.591821 157.14166 \nL 80.697671 155.13785 \nL 77.895407 152.762491 \nL 75.252265 150.006342 \nL 72.84326 146.873611 \nL 70.748559 143.385672 \nL 69.049609 139.584255 \nL 67.824068 135.533428 \nL 67.139889 131.319644 \nL 67.049143 127.049312 \nL 67.582448 122.843549 \nL 68.744849 118.830408 \nL 70.514019 115.135317 \nL 72.841172 111.871067 \nL 75.6547 109.128832 \nL 78.866008 106.971626 \nL 82.376589 105.431107 \nL 86.085332 104.507935 \nL 89.895058 104.175312 \nL 93.717618 104.384669 \nL 97.477277 105.072472 \nL 101.112353 106.167013 \nL 104.575435 107.594396 \nL 107.832528 109.283228 \nL 110.861543 111.167932 \nL 113.650447 113.190691 \nL 116.195361 115.302274 \nL 118.498749 117.462042 \nL 120.567809 119.637413 \nL 122.413101 121.802986 \nL 124.047409 123.939538 \nL 125.484831 126.032999 \nL 126.740069 128.073493 \nL 128.762668 131.97211 \nL 130.227374 135.61105 \nL 131.23333 138.990942 \nL 131.863035 142.125788 \nL 132.181545 145.035839 \nL 132.237207 147.743374 \nL 132.063086 150.270337 \nL 131.678568 152.637034 \nL 131.090821 154.861417 \nL 130.295937 156.958652 \nL 129.279689 158.940745 \nL 128.017914 160.815985 \nL 126.476556 162.588045 \nL 124.611515 164.254491 \nL 122.368491 165.804393 \nL 119.68321 167.214669 \nL 116.482631 168.444647 \nL 114.664611 168.972654 \nL 112.688175 169.428313 \nL 110.543761 169.797678 \nL 108.222637 170.063739 \nL 105.717509 170.20596 \nL 103.02331 170.199805 \nL 100.138202 170.016308 \nL 97.064835 169.621755 \nL 93.811867 168.977554 \nL 90.395753 168.040469 \nL 86.842776 166.763336 \nL 83.191187 165.096533 \nL 79.493316 162.990404 \nL 75.817319 160.398887 \nL 72.248192 157.28448 \nL 68.887466 153.624542 \nL 65.851034 149.418588 \nL 63.264553 144.695883 \nL 61.256096 139.522057 \nL 59.946243 134.003196 \nL 59.436393 128.285573 \nL 59.796866 122.549647 \nL 61.056864 116.997883 \nL 63.198426 111.837367 \nL 66.156023 107.259726 \nL 69.822217 103.42202 \nL 74.058454 100.432141 \nL 78.708905 98.341439 \nL 83.614774 97.145301 \nL 88.626734 96.79073 \nL 93.613965 97.18847 \nL 98.469314 98.226947 \nL 103.110869 99.785439 \nL 107.480851 101.7449 \nL 111.542795 103.995616 \nL 115.277938 106.441792 \nL 118.681449 109.003446 \nL 121.75896 111.616414 \nL 124.523579 114.231122 \nL 126.993453 116.810668 \nL 129.189852 119.328692 \nL 131.135715 121.767284 \nL 134.369774 126.36581 \nL 136.878602 130.567632 \nL 138.828864 134.377907 \nL 140.364869 137.822224 \nL 142.151116 142.374525 \nL 144.937266 149.642355 \nL 145.869474 151.603016 \nL 146.887992 153.354077 \nL 148.038122 154.898736 \nL 149.365335 156.233174 \nL 150.917498 157.345745 \nL 152.746724 158.215759 \nL 154.910752 158.811693 \nL 157.47363 159.088837 \nL 160.505264 158.986378 \nL 164.079044 158.424162 \nL 166.091852 157.939586 \nL 168.266286 157.29987 \nL 170.6092 156.488597 \nL 173.125591 155.488083 \nL 175.8178 154.279676 \nL 178.684527 152.844258 \nL 181.719636 151.163025 \nL 184.910753 149.218579 \nL 188.237683 146.99646 \nL 191.670691 144.487101 \nL 195.168784 141.688326 \nL 198.678129 138.608253 \nL 202.130906 135.268524 \nL 205.444943 131.707575 \nL 208.52448 127.983456 \nL 211.262603 124.175556 \nL 213.545596 120.38448 \nL 215.259463 116.729247 \nL 216.298419 113.341192 \nL 216.574675 110.354511 \nL 216.028385 107.894052 \nL 214.636135 106.061908 \nL 212.41628 104.925138 \nL 209.429806 104.507056 \nL 205.776059 104.784293 \nL 201.583936 105.690425 \nL 196.999918 107.125502 \nL 192.175144 108.969418 \nL 187.253572 111.096331 \nL 182.362826 113.387466 \nL 173.071963 118.074652 \nL 164.860647 122.476978 \nL 157.95263 126.36853 \nL 152.342031 129.745359 \nL 147.896981 132.707045 \nL 144.433572 135.375253 \nL 141.759669 137.853431 \nL 139.697188 140.21436 \nL 138.091291 142.501987 \nL 136.812314 144.738432 \nL 135.279862 148.011936 \nL 131.729776 156.195747 \nL 130.673665 158.093003 \nL 129.458896 159.923249 \nL 128.038956 161.682378 \nL 126.363156 163.364125 \nL 124.374838 164.957918 \nL 122.010036 166.445795 \nL 119.196932 167.797995 \nL 115.856706 168.966707 \nL 113.963121 169.460305 \nL 111.906876 169.877408 \nL 109.678326 170.202633 \nL 107.268914 170.417331 \nL 104.671834 170.499102 \nL 101.882917 170.421316 \nL 98.901743 170.152703 \nL 95.733019 169.657079 \nL 92.388236 168.893338 \nL 88.887598 167.815835 \nL 85.262148 166.375401 \nL 81.55598 164.52117 \nL 77.828285 162.203524 \nL 74.154908 159.378315 \nL 70.628928 156.012499 \nL 67.359654 152.091053 \nL 64.469477 147.624686 \nL 62.088034 142.65738 \nL 60.343589 137.272336 \nL 59.351997 131.594546 \nL 59.204446 125.788231 \nL 59.955779 120.048053 \nL 61.615712 114.584172 \nL 64.144964 109.602885 \nL 67.457519 105.286032 \nL 71.42889 101.772974 \nL 75.908826 99.148651 \nL 80.736018 97.439579 \nL 85.752136 96.617855 \nL 90.813137 96.611337 \nL 95.796714 97.317226 \nL 100.605824 98.616281 \nL 105.168918 100.385345 \nL 109.437861 102.506999 \nL 113.384563 104.875896 \nL 116.99714 107.402092 \nL 120.276166 110.011999 \nL 123.231344 112.6477 \nL 125.878719 115.265278 \nL 128.23845 117.832714 \nL 130.333102 120.327687 \nL 132.186359 122.735537 \nL 135.263662 127.259023 \nL 137.652921 131.378196 \nL 139.517992 135.105413 \nL 141.633992 140.026018 \nL 145.623657 149.966394 \nL 146.62333 151.855673 \nL 147.729517 153.530939 \nL 148.988978 154.99249 \nL 150.449341 156.233005 \nL 152.161207 157.236543 \nL 154.179797 157.977076 \nL 156.56598 158.416458 \nL 159.386359 158.501842 \nL 162.711773 158.162687 \nL 166.613226 157.307842 \nL 168.800292 156.652442 \nL 171.153648 155.823847 \nL 173.677504 154.804664 \nL 176.373261 153.576681 \nL 179.238512 152.121422 \nL 182.265844 150.42096 \nL 185.441447 148.459073 \nL 188.743557 146.222798 \nL 192.140808 143.704438 \nL 195.590589 140.904035 \nL 199.037629 137.832239 \nL 202.413025 134.513426 \nL 205.634111 130.988746 \nL 208.60552 127.31865 \nL 211.221858 123.584214 \nL 213.372318 119.886554 \nL 214.9473 116.343542 \nL 215.846831 113.083383 \nL 215.990039 110.235039 \nL 215.324511 107.91628 \nL 213.833999 106.220944 \nL 211.54286 105.207672 \nL 208.516112 104.892392 \nL 204.854659 105.246463 \nL 200.686318 106.201008 \nL 196.154194 107.656628 \nL 191.404351 109.496376 \nL 186.574784 111.599384 \nL 177.141191 116.15971 \nL 168.558973 120.654165 \nL 161.183726 124.728536 \nL 155.100395 128.293762 \nL 150.228449 131.409575 \nL 146.407164 134.188363 \nL 143.450623 136.739423 \nL 141.178034 139.146256 \nL 139.427951 141.4631 \nL 138.063097 143.719951 \nL 136.97015 145.929876 \nL 135.644096 149.161259 \nL 132.895851 156.247022 \nL 131.48019 159.058969 \nL 130.354239 160.853216 \nL 129.032501 162.580929 \nL 127.467079 164.238473 \nL 125.603629 165.818645 \nL 123.379872 167.307984 \nL 120.724657 168.682842 \nL 117.558089 169.903718 \nL 113.793642 170.907205 \nL 111.659651 171.298416 \nL 109.34385 171.594896 \nL 106.837086 171.776512 \nL 104.132123 171.818997 \nL 101.224629 171.693411 \nL 98.11441 171.365686 \nL 94.806971 170.796329 \nL 91.315369 169.94042 \nL 87.662379 168.748089 \nL 83.882877 167.165701 \nL 80.026304 165.138028 \nL 76.158898 162.611696 \nL 72.365311 159.540124 \nL 68.74901 155.890094 \nL 65.430807 151.649673 \nL 62.544785 146.836945 \nL 60.231154 141.508226 \nL 58.625941 135.764097 \nL 57.848203 129.751073 \nL 57.986291 123.657025 \nL 59.085489 117.699368 \nL 61.13962 112.106594 \nL 64.088823 107.095723 \nL 67.824423 102.849681 \nL 72.200167 99.499056 \nL 77.047609 97.111763 \nL 82.192576 95.692084 \nL 87.469827 95.188192 \nL 92.733936 95.50556 \nL 97.865613 96.522837 \nL 102.773803 98.107211 \nL 107.394533 100.127067 \nL 111.687721 102.46103 \nL 115.63303 105.003345 \nL 119.225559 107.666093 \nL 122.471892 110.379219 \nL 125.386722 113.089016 \nL 127.990133 115.755943 \nL 130.305489 118.352135 \nL 132.357849 120.85901 \nL 135.775674 125.564376 \nL 138.441767 129.836081 \nL 140.535966 133.683815 \nL 142.938399 138.727741 \nL 146.502818 146.622021 \nL 147.635416 148.703704 \nL 148.849031 150.537577 \nL 150.199212 152.128126 \nL 151.739512 153.471236 \nL 153.523987 154.553293 \nL 155.609026 155.349941 \nL 158.054368 155.82436 \nL 160.922928 155.925149 \nL 162.536006 155.81482 \nL 164.278807 155.584063 \nL 166.158748 155.221415 \nL 168.182507 154.714216 \nL 170.355606 154.048675 \nL 172.681884 153.210023 \nL 175.162855 152.18279 \nL 177.796893 150.951232 \nL 180.578284 149.499967 \nL 183.49611 147.814874 \nL 186.53301 145.884286 \nL 189.663841 143.700532 \nL 192.854342 141.261847 \nL 196.059917 138.574584 \nL 199.224725 135.655695 \nL 202.28134 132.53521 \nL 205.151244 129.258435 \nL 207.746479 125.887445 \nL 209.972737 122.50129 \nL 211.734011 119.194371 \nL 212.938789 116.072506 \nL 213.507385 113.246529 \nL 213.379666 110.823668 \nL 212.522191 108.897612 \nL 210.933486 107.538623 \nL 208.646387 106.78555 \nL 205.726753 106.641322 \nL 202.268509 107.072975 \nL 198.385715 108.016374 \nL 194.20294 109.38467 \nL 189.845484 111.078778 \nL 185.430803 112.997972 \nL 176.824708 117.15153 \nL 168.987769 121.278656 \nL 162.23169 125.078464 \nL 156.639836 128.465215 \nL 152.151958 131.477316 \nL 148.63497 134.200369 \nL 145.930384 136.72098 \nL 143.881705 139.106699 \nL 142.348119 141.401882 \nL 141.209806 143.631073 \nL 140.368598 145.804629 \nL 139.746207 147.92415 \nL 139.092951 150.995123 \nL 138.52606 154.86361 \nL 137.324081 164.040331 \nL 136.680771 166.87959 \nL 136.023598 168.866632 \nL 135.150741 170.752611 \nL 133.981973 172.557972 \nL 132.986302 173.726731 \nL 131.770429 174.873687 \nL 130.283671 176.002142 \nL 128.463943 177.112026 \nL 126.235621 178.197257 \nL 123.507462 179.241473 \nL 120.171135 180.211229 \nL 116.101452 181.045396 \nL 111.160383 181.639061 \nL 108.319044 181.795367 \nL 105.20868 181.820161 \nL 101.815886 181.676274 \nL 98.131602 181.318059 \nL 94.15343 180.690278 \nL 89.888602 179.727247 \nL 85.357699 178.35259 \nL 80.599068 176.480027 \nL 75.673816 174.015846 \nL 70.6709 170.863771 \nL 65.711605 166.933057 \nL 60.95215 162.150361 \nL 56.582774 156.475499 \nL 52.821469 149.919933 \nL 49.900665 142.565468 \nL 48.04636 134.578598 \nL 47.451161 126.214857 \nL 48.245343 117.807869 \nL 50.472225 109.740594 \nL 54.074908 102.401495 \nL 58.899119 96.134136 \nL 64.712622 91.192145 \nL 71.236484 87.710808 \nL 78.180353 85.701148 \nL 85.273642 85.065362 \nL 92.287232 85.626631 \nL 99.044052 87.164107 \nL 105.420015 89.445086 \nL 111.338454 92.249487 \nL 116.761326 95.385081 \nL 121.679753 98.694456 \nL 126.10542 102.055748 \nL 130.063548 105.379522 \nL 133.58755 108.603716 \nL 136.71518 111.688062 \nL 141.938963 117.354289 \nL 146.042951 122.311313 \nL 150.701124 128.487286 \nL 155.279089 134.705738 \nL 157.251986 137.083075 \nL 159.184575 139.027786 \nL 161.174171 140.563371 \nL 163.298903 141.699506 \nL 164.431853 142.117263 \nL 165.620582 142.433051 \nL 166.870459 142.644706 \nL 168.185879 142.749475 \nL 169.570177 142.744102 \nL 171.025524 142.624941 \nL 174.151249 142.029594 \nL 177.550339 140.932786 \nL 181.177969 139.311116 \nL 184.94807 137.159965 \nL 188.724602 134.508612 \nL 190.557733 133.01801 \nL 192.316616 131.437366 \nL 193.9694 129.787178 \nL 195.482018 128.092569 \nL 196.819159 126.383104 \nL 197.945526 124.692246 \nL 198.827377 123.056411 \nL 199.434249 121.513599 \nL 199.74076 120.10166 \nL 199.728377 118.856294 \nL 199.386882 117.808961 \nL 198.715492 116.984912 \nL 197.723365 116.401553 \nL 196.429474 116.067377 \nL 194.861795 115.981607 \nL 193.055888 116.134588 \nL 191.053006 116.508877 \nL 188.897922 117.080901 \nL 186.636707 117.822934 \nL 181.97439 119.697694 \nL 177.389432 121.902614 \nL 173.130403 124.247023 \nL 169.360365 126.598564 \nL 166.16535 128.879956 \nL 163.57234 131.054519 \nL 161.569041 133.109609 \nL 160.121054 135.043078 \nL 159.184915 136.85438 \nL 158.717 138.539696 \nL 158.679052 140.089843 \nL 159.041156 141.489699 \nL 159.782925 142.718294 \nL 160.893409 143.748969 \nL 162.370058 144.549399 \nL 164.216838 145.081464 \nL 166.441404 145.30115 \nL 169.051117 145.158768 \nL 172.047482 144.600151 \nL 175.418594 143.569536 \nL 179.129243 142.015291 \nL 183.108775 139.899656 \nL 187.237735 137.213506 \nL 189.304539 135.666229 \nL 191.335946 133.995977 \nL 193.299016 132.218788 \nL 195.156998 130.356279 \nL 196.870017 128.435929 \nL 198.396144 126.491 \nL 199.692872 124.560032 \nL 200.718971 122.685776 \nL 201.436635 120.913564 \nL 201.81382 119.28916 \nL 201.826531 117.856161 \nL 201.460847 116.653258 \nL 200.714427 115.711558 \nL 199.597288 115.052378 \nL 198.131705 114.685742 \nL 196.351177 114.609865 \nL 194.298594 114.811709 \nL 192.023736 115.268441 \nL 189.580441 115.949744 \nL 187.023717 116.820476 \nL 181.780292 118.981959 \nL 176.667742 121.472975 \nL 171.962749 124.072615 \nL 167.835912 126.637682 \nL 164.366544 129.093753 \nL 161.567295 131.413801 \nL 159.408994 133.596394 \nL 157.84096 135.649335 \nL 156.805607 137.579789 \nL 156.24792 139.389541 \nL 156.121005 141.073443 \nL 156.388885 142.619479 \nL 157.02748 144.009322 \nL 158.024422 145.218793 \nL 159.378099 146.217944 \nL 161.09609 146.970748 \nL 163.192934 147.434471 \nL 165.687005 147.55906 \nL 168.596056 147.286912 \nL 171.930839 146.553767 \nL 175.686105 145.291765 \nL 179.828397 143.436157 \nL 182.022748 142.269218 \nL 184.280545 140.937454 \nL 186.58241 139.440208 \nL 188.904062 137.780585 \nL 191.215929 135.96641 \nL 193.48296 134.011202 \nL 195.664726 131.935083 \nL 197.715904 129.765486 \nL 199.587218 127.537521 \nL 201.226961 125.293808 \nL 202.583053 123.083677 \nL 203.605633 120.961538 \nL 204.250071 118.984444 \nL 204.480107 117.208916 \nL 204.270891 115.68724 \nL 203.611481 114.463643 \nL 202.506493 113.570818 \nL 200.976583 113.027269 \nL 199.057642 112.835947 \nL 196.798724 112.984392 \nL 194.258937 113.446365 \nL 191.503689 114.184726 \nL 188.600727 115.155094 \nL 185.616425 116.309793 \nL 179.644428 118.986207 \nL 173.992823 121.887245 \nL 168.929848 124.785921 \nL 164.594424 127.558544 \nL 161.025848 130.159384 \nL 158.198246 132.588304 \nL 156.050136 134.864234 \nL 154.506018 137.008388 \nL 153.490428 139.035889 \nL 152.936168 140.953038 \nL 152.78853 142.757466 \nL 153.006959 144.439412 \nL 153.565217 145.98301 \nL 154.450723 147.367109 \nL 155.663481 148.565438 \nL 157.214757 149.546175 \nL 159.125492 150.270917 \nL 161.424249 150.693295 \nL 164.144298 150.757493 \nL 167.319233 150.397093 \nL 170.976239 149.535011 \nL 172.989863 148.889337 \nL 175.125984 148.085864 \nL 177.380953 147.113724 \nL 179.747973 145.962735 \nL 182.216359 144.624048 \nL 184.770742 143.090984 \nL 187.390237 141.360041 \nL 190.04767 139.432113 \nL 192.708897 137.313846 \nL 195.332362 135.019086 \nL 197.869007 132.570315 \nL 200.262711 129.999844 \nL 202.451374 127.350585 \nL 204.368826 124.676133 \nL 205.947609 122.039821 \nL 207.122584 119.512607 \nL 207.835219 117.169611 \nL 208.038185 115.085452 \nL 207.69978 113.328732 \nL 206.807591 111.956284 \nL 205.370768 111.008003 \nL 203.420485 110.503092 \nL 201.008367 110.438414 \nL 198.203002 110.789341 \nL 195.085017 111.512873 \nL 191.741348 112.552625 \nL 188.259512 113.844681 \nL 184.722542 115.323514 \nL 177.770677 118.600521 \nL 171.34455 121.986324 \nL 165.712769 125.239912 \nL 160.98249 128.259168 \nL 157.148603 131.03295 \nL 154.140727 133.594092 \nL 151.858748 135.986803 \nL 150.196091 138.249294 \nL 149.053275 140.40737 \nL 148.344809 142.474109 \nL 148.001916 144.452202 \nL 147.97287 146.336751 \nL 148.22213 148.117661 \nL 148.728983 149.781215 \nL 149.486147 151.310752 \nL 150.49854 152.686642 \nL 151.782307 153.885558 \nL 153.364062 154.879193 \nL 155.280223 155.632464 \nL 157.576172 156.101231 \nL 160.304837 156.22964 \nL 163.524013 155.947277 \nL 167.291449 155.166701 \nL 169.396786 154.557293 \nL 171.656237 153.782433 \nL 174.072261 152.82652 \nL 176.64458 151.673493 \nL 179.36929 150.307362 \nL 182.237788 148.712985 \nL 185.235573 146.877129 \nL 188.340915 144.789877 \nL 191.523489 142.44637 \nL 194.743058 139.848942 \nL 197.948384 137.009518 \nL 201.076593 133.952153 \nL 204.053236 130.715447 \nL 206.793417 127.354446 \nL 209.20424 123.94149 \nL 211.188827 120.565462 \nL 212.651925 117.328872 \nL 213.5069 114.342441 \nL 213.683533 111.717264 \nL 213.135645 109.555153 \nL 211.847415 107.938379 \nL 209.83716 106.920495 \nL 207.157641 106.520084 \nL 203.892573 106.718743 \nL 200.149723 107.463941 \nL 196.051687 108.676149 \nL 191.725833 110.258916 \nL 187.294967 112.109774 \nL 182.869847 114.13022 \nL 174.392562 118.348237 \nL 166.812353 122.419271 \nL 160.365999 126.113042 \nL 155.084989 129.390766 \nL 150.87954 132.313101 \nL 147.603304 134.970992 \nL 145.094583 137.447828 \nL 143.199124 139.80507 \nL 141.780829 142.08118 \nL 140.725339 144.296164 \nL 139.939715 146.45742 \nL 139.11045 149.597449 \nL 138.388017 153.572609 \nL 136.87319 163.088864 \nL 136.299457 165.335572 \nL 135.556613 167.456378 \nL 134.576775 169.469626 \nL 133.749278 170.761709 \nL 132.744514 172.02028 \nL 131.521952 173.25006 \nL 130.032051 174.453928 \nL 128.214373 175.631308 \nL 125.995576 176.775571 \nL 123.287524 177.869858 \nL 119.986039 178.880501 \nL 115.971345 179.746852 \nL 113.655748 180.095957 \nL 111.112235 180.365989 \nL 108.32448 180.533875 \nL 105.277538 180.570742 \nL 101.959063 180.440847 \nL 98.360945 180.100489 \nL 94.481499 179.496994 \nL 90.328235 178.567981 \nL 85.921328 177.241192 \nL 81.297718 175.435293 \nL 76.515683 173.062227 \nL 71.659534 170.031751 \nL 66.843693 166.258909 \nL 62.215068 161.674901 \nL 57.952271 156.241456 \nL 54.259992 149.967702 \nL 51.357051 142.927272 \nL 49.457614 135.271705 \nL 48.746734 127.235108 \nL 49.353786 119.125303 \nL 51.32927 111.298939 \nL 54.631262 104.122588 \nL 59.126153 97.926817 \nL 64.604518 92.963855 \nL 70.80856 89.378989 \nL 77.464318 87.201905 \nL 84.311355 86.357863 \nL 91.124477 86.693127 \nL 97.725495 88.006654 \nL 103.985838 90.080486 \nL 109.822607 92.70386 \nL 115.191055 95.68909 \nL 120.075947 98.879611 \nL 124.483395 102.15196 \nL 128.433992 105.413686 \nL 131.957445 108.599101 \nL 135.088615 111.664233 \nL 137.86473 114.581905 \nL 142.501765 119.924653 \nL 146.156218 124.598863 \nL 150.347015 130.446127 \nL 154.581144 136.381597 \nL 156.466025 138.667144 \nL 158.351644 140.543632 \nL 160.32819 142.028261 \nL 162.469542 143.12486 \nL 163.621303 143.525342 \nL 164.835794 143.824543 \nL 166.118502 144.019528 \nL 167.474047 144.10673 \nL 168.90608 144.082028 \nL 170.417152 143.940838 \nL 172.008539 143.678254 \nL 175.429627 142.768777 \nL 179.144598 141.315906 \nL 183.090025 139.293987 \nL 185.115923 138.06848 \nL 187.152317 136.704294 \nL 189.175517 135.208948 \nL 191.157743 133.594157 \nL 193.067252 131.876442 \nL 194.868731 130.077572 \nL 196.524011 128.224803 \nL 197.993124 126.350747 \nL 199.235746 124.492835 \nL 200.212969 122.692268 \nL 200.889362 120.99244 \nL 201.235128 119.436887 \nL 201.228251 118.066875 \nL 200.85634 116.918823 \nL 200.118003 116.021872 \nL 199.023507 115.395863 \nL 197.594636 115.049996 \nL 195.863701 114.982417 \nL 193.871791 115.180717 \nL 191.666448 115.62337 \nL 189.299018 116.281816 \nL 186.821957 117.122963 \nL 181.739844 119.213481 \nL 176.778719 121.62982 \nL 172.205778 124.160809 \nL 168.188074 126.667397 \nL 164.805708 129.075133 \nL 162.074613 131.354719 \nL 159.969926 133.50175 \nL 158.445345 135.521275 \nL 157.447231 137.418243 \nL 156.92388 139.192761 \nL 156.831024 140.838425 \nL 157.134653 142.342213 \nL 157.812038 143.684894 \nL 158.851566 144.841383 \nL 160.251753 145.780802 \nL 162.019579 146.466183 \nL 164.168069 146.853974 \nL 166.712888 146.893622 \nL 169.667502 146.52775 \nL 173.036334 145.693629 \nL 176.805317 144.327098 \nL 180.929392 142.370353 \nL 183.098318 141.157462 \nL 185.317258 139.785252 \nL 187.564867 138.255299 \nL 189.814987 136.573257 \nL 192.036376 134.749751 \nL 194.192708 132.801241 \nL 196.24286 130.750762 \nL 198.14161 128.62839 \nL 199.840824 126.471322 \nL 201.291123 124.323388 \nL 202.444094 122.233905 \nL 203.2549 120.255774 \nL 203.685147 118.442856 \nL 203.705774 116.846784 \nL 203.299631 115.513458 \nL 202.463432 114.479646 \nL 201.208764 113.77013 \nL 199.561977 113.395799 \nL 197.562871 113.353037 \nL 195.262348 113.624467 \nL 192.719218 114.180978 \nL 189.996631 114.984734 \nL 187.158476 115.992668 \nL 181.375959 118.443378 \nL 175.791379 121.205864 \nL 170.702243 124.034189 \nL 166.279869 126.780238 \nL 162.591841 129.377114 \nL 159.633601 131.810173 \nL 157.357987 134.090257 \nL 155.69807 136.235096 \nL 154.582735 138.259056 \nL 153.946297 140.168903 \nL 153.733772 141.963085 \nL 153.903288 143.632484 \nL 154.426723 145.161559 \nL 155.289317 146.529149 \nL 156.488716 147.708721 \nL 158.033637 148.668046 \nL 159.94218 149.368347 \nL 162.239594 149.763106 \nL 164.955106 149.796844 \nL 168.117245 149.404344 \nL 171.746825 148.51113 \nL 173.738849 147.851605 \nL 175.84664 147.036464 \nL 178.065348 146.055863 \nL 180.386921 144.900865 \nL 182.799409 143.564095 \nL 185.286228 142.040563 \nL 187.825415 140.32866 \nL 190.388971 138.431301 \nL 192.942312 136.357196 \nL 195.443987 134.122143 \nL 197.845764 131.750253 \nL 200.093237 129.274918 \nL 202.127055 126.739282 \nL 203.884914 124.196048 \nL 205.304317 121.706284 \nL 206.326032 119.337161 \nL 206.898087 117.158533 \nL 206.979904 115.238498 \nL 206.54615 113.638371 \nL 205.589767 112.407602 \nL 204.123667 111.579399 \nL 202.180755 111.167746 \nL 199.812144 111.166392 \nL 197.083757 111.549957 \nL 194.071732 112.277067 \nL 190.857243 113.294941 \nL 187.521393 114.544645 \nL 184.140774 115.966279 \nL 177.509744 119.106268 \nL 171.386537 122.353876 \nL 166.019868 125.488596 \nL 161.510962 128.414295 \nL 157.857772 131.116793 \nL 154.997505 133.62217 \nL 152.839158 135.967535 \nL 151.285169 138.185189 \nL 150.244259 140.29651 \nL 149.638139 142.311369 \nL 149.404321 144.229978 \nL 149.496654 146.045258 \nL 149.884674 147.744825 \nL 150.552458 149.312233 \nL 151.497371 150.727365 \nL 152.728899 151.966166 \nL 154.267606 152.999632 \nL 156.144133 153.792318 \nL 158.397981 154.300323 \nL 161.075719 154.468974 \nL 164.227951 154.230424 \nL 167.904136 153.501759 \nL 169.951825 152.923471 \nL 172.143944 152.184711 \nL 174.481666 151.271323 \nL 176.963464 150.168932 \nL 179.584274 148.863487 \nL 182.334543 147.342002 \nL 185.199142 145.59356 \nL 188.156216 143.610604 \nL 191.176011 141.390528 \nL 194.219795 138.937549 \nL 197.239004 136.264789 \nL 200.174834 133.396436 \nL 202.958479 130.36969 \nL 205.512309 127.236246 \nL 207.752208 124.06277 \nL 209.591202 120.93002 \nL 210.944454 117.930096 \nL 211.735307 115.161634 \nL 211.90196 112.723042 \nL 211.403919 110.704306 \nL 210.227305 109.178364 \nL 208.388027 108.193472 \nL 205.932067 107.767891 \nL 202.932633 107.888081 \nL 199.484456 108.51087 \nL 195.69607 109.569172 \nL 191.681314 110.980193 \nL 187.551254 112.654559 \nL 183.407528 114.504846 \nL 175.412862 118.431338 \nL 168.197505 122.296319 \nL 162.009787 125.864029 \nL 156.906156 129.073714 \nL 152.823904 131.962302 \nL 149.640506 134.602187 \nL 147.213371 137.064627 \nL 145.403005 139.404176 \nL 144.084741 141.655758 \nL 143.153413 143.837673 \nL 142.524009 145.956365 \nL 142.130266 148.010899 \nL 141.92236 149.996429 \nL 141.883671 152.831135 \nL 142.110769 155.473803 \nL 142.57421 157.904243 \nL 143.28006 160.103521 \nL 143.902307 161.431101 \nL 144.666453 162.6389 \nL 145.597165 163.716778 \nL 146.726062 164.651149 \nL 148.092616 165.423546 \nL 149.745258 166.00874 \nL 151.742548 166.372299 \nL 154.154231 166.467358 \nL 157.061722 166.230474 \nL 160.557333 165.576526 \nL 164.740888 164.392906 \nL 169.711602 162.534032 \nL 172.519212 161.296087 \nL 175.551792 159.818731 \nL 178.812213 158.074636 \nL 182.297668 156.035814 \nL 185.997653 153.67497 \nL 189.891591 150.967499 \nL 193.946136 147.894267 \nL 198.112297 144.445289 \nL 202.322617 140.624297 \nL 206.488855 136.454082 \nL 210.5007 131.98218 \nL 214.226327 127.286128 \nL 217.515611 122.477128 \nL 220.206769 117.700543 \nL 222.136897 113.131617 \nL 223.156153 108.965016 \nL 223.144311 105.397993 \nL 222.027397 102.608455 \nL 219.791111 100.731417 \nL 216.487756 99.838699 \nL 212.234269 99.927091 \nL 207.200968 100.918574 \nL 201.593013 102.672956 \nL 195.628383 105.009921 \nL 189.516801 107.734922 \nL 183.443225 110.663107 \nL 171.971964 116.535736 \nL 150.152295 128.126364 \nL 144.243313 131.409976 \nL 139.620898 134.194642 \nL 136.01332 136.665764 \nL 133.169068 138.955557 \nL 130.870191 141.144637 \nL 128.93424 143.273865 \nL 122.185341 151.25566 \nL 120.266297 153.042028 \nL 118.106743 154.693467 \nL 115.645896 156.172574 \nL 112.828748 157.430927 \nL 109.608065 158.404701 \nL 107.834906 158.759472 \nL 105.949345 159.009624 \nL 103.950504 159.140618 \nL 101.839675 159.136113 \nL 99.620857 158.977962 \nL 97.301395 158.646291 \nL 94.892685 158.119768 \nL 92.410922 157.376049 \nL 89.877847 156.392496 \nL 87.321451 155.147218 \nL 84.776496 153.620444 \nL 82.284799 151.796326 \nL 79.895085 149.665063 \nL 77.662297 147.225315 \nL 75.646202 144.486731 \nL 73.909208 141.472283 \nL 72.513378 138.220105 \nL 71.516738 134.784386 \nL 70.969158 131.234879 \nL 70.908192 127.654818 \nL 71.355416 124.137027 \nL 72.313776 120.778532 \nL 73.766441 117.67414 \nL 75.677398 114.909722 \nL 77.993793 112.55622 \nL 80.649692 110.665062 \nL 83.570768 109.265674 \nL 86.679285 108.365198 \nL 89.898724 107.950339 \nL 93.157682 107.990726 \nL 96.392668 108.443272 \nL 99.54982 109.256734 \nL 102.585583 110.376042 \nL 105.46657 111.745929 \nL 108.168838 113.313741 \nL 110.676782 115.031314 \nL 112.981868 116.856084 \nL 115.081344 118.751554 \nL 116.976998 120.687226 \nL 118.674056 122.638246 \nL 120.180208 124.584832 \nL 121.504807 126.511624 \nL 122.658201 128.407009 \nL 124.494641 132.072112 \nL 125.774645 135.539605 \nL 126.575573 138.794994 \nL 126.962152 141.839114 \nL 126.984389 144.680893 \nL 126.677171 147.332605 \nL 126.06075 149.806706 \nL 125.141638 152.113624 \nL 123.91363 154.259932 \nL 122.358845 156.246581 \nL 120.448851 158.066796 \nL 118.14608 159.703329 \nL 115.405955 161.124733 \nL 113.856859 161.73986 \nL 112.18041 162.280403 \nL 110.371023 162.736007 \nL 108.423839 163.094259 \nL 106.335138 163.340453 \nL 104.102877 163.457352 \nL 101.727327 163.425011 \nL 99.211858 163.220659 \nL 96.563842 162.818726 \nL 93.795697 162.191059 \nL 90.926033 161.307425 \nL 87.98083 160.136394 \nL 84.994608 158.646707 \nL 82.011377 156.809221 \nL 79.085246 154.599511 \nL 76.280419 152.001116 \nL 73.67033 149.009292 \nL 71.335647 145.635041 \nL 69.360942 141.908924 \nL 67.830057 137.884014 \nL 66.820263 133.637251 \nL 66.395784 129.268411 \nL 66.601403 124.896241 \nL 67.457125 120.651589 \nL 68.954855 116.668143 \nL 71.057798 113.071832 \nL 73.702876 109.970506 \nL 76.805814 107.44545 \nL 80.268137 105.546119 \nL 83.984959 104.288641 \nL 87.852409 103.658045 \nL 91.77385 103.613339 \nL 95.664311 104.09438 \nL 99.453039 105.029222 \nL 103.084354 106.340961 \nL 106.517171 107.953365 \nL 109.723641 109.795061 \nL 112.687288 111.802166 \nL 115.400993 113.919644 \nL 117.865018 116.101618 \nL 120.085206 118.310982 \nL 122.071439 120.518584 \nL 123.836346 122.702193 \nL 125.394255 124.845394 \nL 126.76038 126.936539 \nL 128.978916 130.934325 \nL 130.611038 134.664787 \nL 131.763547 138.125863 \nL 132.526556 141.330951 \nL 132.972344 144.300811 \nL 133.155994 147.058785 \nL 133.1169 149.628138 \nL 132.880531 152.030664 \nL 132.460095 154.285971 \nL 131.857898 156.411174 \nL 131.066316 158.420716 \nL 130.068339 160.326142 \nL 128.837721 162.135692 \nL 127.338784 163.853509 \nL 125.525994 165.478284 \nL 123.34349 167.001012 \nL 120.724888 168.401492 \nL 117.593924 169.643064 \nL 113.866888 170.664926 \nL 111.752975 171.065298 \nL 109.458448 171.371429 \nL 106.974299 171.56362 \nL 104.293367 171.618098 \nL 101.411306 171.506491 \nL 98.327795 171.195377 \nL 95.048057 170.64598 \nL 91.58468 169.814166 \nL 87.95974 168.650878 \nL 84.207134 167.103281 \nL 80.37501 165.116845 \nL 76.527987 162.63865 \nL 72.748791 159.622198 \nL 69.138723 156.033759 \nL 65.81635 151.860117 \nL 62.913651 147.117128 \nL 60.569192 141.85788 \nL 58.918171 136.178814 \nL 58.079967 130.221711 \nL 58.144604 124.169664 \nL 59.160427 118.23597 \nL 61.125449 112.646391 \nL 63.984651 107.61716 \nL 67.63421 103.332577 \nL 71.932119 99.926572 \nL 76.713057 97.471825 \nL 81.804637 95.978003 \nL 87.042076 95.398508 \nL 92.279306 95.643268 \nL 97.395621 96.594266 \nL 102.298113 98.12079 \nL 106.920827 100.092199 \nL 111.221761 102.387202 \nL 115.178865 104.899476 \nL 118.785779 107.540184 \nL 122.0479 110.238145 \nL 124.978985 112.938522 \nL 127.5984 115.600699 \nL 129.928974 118.195861 \nL 131.995375 120.704606 \nL 135.43675 125.419891 \nL 138.119432 129.706726 \nL 140.222828 133.572511 \nL 142.62518 138.646523 \nL 146.685693 147.69482 \nL 147.816484 149.679616 \nL 149.048142 151.423536 \nL 150.434124 152.928098 \nL 152.027081 154.186133 \nL 153.881129 155.180786 \nL 156.053454 155.88409 \nL 158.60504 156.255082 \nL 161.6001 156.237519 \nL 163.284305 156.06069 \nL 165.103492 155.757537 \nL 167.064936 155.315798 \nL 169.174989 154.722002 \nL 171.438614 153.961574 \nL 173.858783 153.019045 \nL 176.435742 151.878387 \nL 179.166122 150.523554 \nL 182.041872 148.939241 \nL 185.049059 147.11194 \nL 188.16653 145.031332 \nL 191.364528 142.692048 \nL 194.603335 140.095791 \nL 197.83216 137.253766 \nL 200.988417 134.189278 \nL 203.997751 130.940199 \nL 206.775055 127.560952 \nL 209.226869 124.123523 \nL 211.25533 120.71679 \nL 212.763765 117.443759 \nL 213.663718 114.416237 \nL 213.88285 111.746997 \nL 213.372745 109.540021 \nL 212.115451 107.880067 \nL 210.127517 106.823195 \nL 207.460514 106.390171 \nL 204.197704 106.564166 \nL 200.447158 107.293414 \nL 196.332461 108.498294 \nL 191.982499 110.081478 \nL 187.521867 111.939098 \nL 183.063192 113.970936 \nL 174.514161 118.218881 \nL 166.864439 122.320482 \nL 160.356606 126.039371 \nL 155.024019 129.335131 \nL 150.776377 132.269331 \nL 147.465684 134.934762 \nL 144.928239 137.416624 \nL 143.007798 139.777792 \nL 141.566448 142.057697 \nL 140.488212 144.276939 \nL 139.67871 146.443268 \nL 138.808631 149.592843 \nL 138.015756 153.584977 \nL 136.531842 161.587548 \nL 135.87936 163.957779 \nL 135.04368 166.197901 \nL 133.948714 168.324935 \nL 133.027702 169.689032 \nL 131.912519 171.015707 \nL 130.55919 172.308466 \nL 128.914276 173.568218 \nL 126.913009 174.791243 \nL 124.477453 175.965936 \nL 121.515023 177.067716 \nL 117.918109 178.051114 \nL 113.566226 178.837843 \nL 111.067609 179.119858 \nL 108.333241 179.299348 \nL 105.349197 179.348453 \nL 102.104117 179.232828 \nL 98.590771 178.91065 \nL 94.808106 178.331718 \nL 90.763853 177.436806 \nL 86.477749 176.157573 \nL 81.985338 174.417357 \nL 77.342181 172.133416 \nL 72.628163 169.221155 \nL 67.951213 165.60101 \nL 63.449483 161.208424 \nL 59.290682 156.006936 \nL 55.667015 150.003582 \nL 52.784491 143.264555 \nL 50.84598 135.927709 \nL 50.029079 128.207423 \nL 50.461716 120.387539 \nL 52.200367 112.799906 \nL 55.216452 105.789896 \nL 59.395274 99.674731 \nL 64.548813 94.703794 \nL 70.43962 91.030288 \nL 76.810092 88.70036 \nL 83.410456 87.660476 \nL 90.020329 87.778829 \nL 96.461372 88.87377 \nL 102.601372 90.742261 \nL 108.351838 93.18341 \nL 113.661724 96.014785 \nL 118.509643 99.081398 \nL 122.896201 102.2588 \nL 126.837324 105.452012 \nL 130.358917 108.592053 \nL 133.492834 111.631476 \nL 136.27397 114.539793 \nL 140.921194 119.901463 \nL 144.578758 124.630042 \nL 148.75058 130.60018 \nL 152.906397 136.747764 \nL 154.729283 139.155914 \nL 156.539033 141.166371 \nL 158.427814 142.797576 \nL 160.472548 144.054886 \nL 161.574029 144.541477 \nL 162.737885 144.930792 \nL 163.970515 145.219954 \nL 165.277628 145.405354 \nL 166.664177 145.48269 \nL 168.134256 145.447042 \nL 169.690946 145.292945 \nL 171.336124 145.014521 \nL 173.070216 144.605638 \nL 174.891897 144.060143 \nL 176.797747 143.372131 \nL 178.781859 142.536325 \nL 180.835405 141.548524 \nL 182.94619 140.406151 \nL 185.098203 139.108903 \nL 187.271202 137.659473 \nL 189.440409 136.064354 \nL 191.576322 134.334633 \nL 193.64476 132.486768 \nL 195.607188 130.543222 \nL 197.421418 128.532843 \nL 199.042726 126.490874 \nL 200.425424 124.458473 \nL 201.524874 122.481619 \nL 202.299865 120.60938 \nL 202.715187 118.891547 \nL 202.744227 117.375767 \nL 202.371265 116.104456 \nL 201.593204 115.111767 \nL 200.420489 114.421057 \nL 198.877034 114.043181 \nL 196.99908 113.975909 \nL 194.833143 114.204497 \nL 192.433207 114.703428 \nL 189.857553 115.439013 \nL 187.165519 116.372422 \nL 181.657789 118.670322 \nL 176.308015 121.293673 \nL 171.405117 124.008 \nL 167.122017 126.666184 \nL 163.53381 129.196303 \nL 160.645713 131.576678 \nL 158.420277 133.811578 \nL 156.799064 135.913644 \nL 155.717865 137.893677 \nL 155.116335 139.756039 \nL 154.943488 141.497471 \nL 155.160343 143.107468 \nL 155.740771 144.569124 \nL 156.671237 145.859747 \nL 157.949855 146.951008 \nL 159.584961 147.808618 \nL 161.593158 148.391573 \nL 163.996646 148.651204 \nL 166.819401 148.530405 \nL 170.081605 147.963649 \nL 173.791554 146.8787 \nL 177.934192 145.201512 \nL 180.152985 144.119503 \nL 182.455777 142.866186 \nL 184.826698 141.437424 \nL 187.245004 139.832212 \nL 189.684495 138.053696 \nL 192.113061 136.11028 \nL 194.492465 134.01674 \nL 196.778441 131.795282 \nL 198.921236 129.476355 \nL 200.866734 127.099052 \nL 202.55817 124.710926 \nL 203.938553 122.366974 \nL 204.953665 120.127713 \nL 205.555526 118.056264 \nL 205.706005 116.214587 \nL 205.380229 114.659151 \nL 204.569314 113.436553 \nL 203.282034 112.579596 \nL 201.545069 112.10452 \nL 199.401748 112.009775 \nL 196.909337 112.276652 \nL 194.135222 112.8716 \nL 191.152487 113.749901 \nL 188.035403 114.860105 \nL 184.855349 116.148572 \nL 178.558758 119.057996 \nL 172.676477 122.134246 \nL 167.467219 125.153084 \nL 163.051234 128.004159 \nL 159.4472 130.657278 \nL 156.610763 133.125354 \nL 154.465663 135.436438 \nL 152.925405 137.617326 \nL 151.906727 139.686275 \nL 151.337084 141.651335 \nL 151.15816 143.511355 \nL 151.326977 145.257787 \nL 151.815661 146.876319 \nL 152.610551 148.347886 \nL 153.711053 149.648933 \nL 155.128428 150.750988 \nL 156.884501 151.61961 \nL 159.010154 152.212849 \nL 161.543276 152.479366 \nL 164.525617 152.356538 \nL 167.997791 151.769059 \nL 169.928062 151.274042 \nL 171.991289 150.629027 \nL 174.187968 149.821582 \nL 176.516189 148.839178 \nL 178.970917 147.66966 \nL 181.54318 146.301885 \nL 184.219162 144.726576 \nL 186.979237 142.937398 \nL 189.797 140.932278 \nL 192.638381 138.714952 \nL 195.460937 136.296658 \nL 198.213504 133.697903 \nL 200.83638 130.950066 \nL 203.262224 128.096642 \nL 205.417882 125.193742 \nL 207.227256 122.309511 \nL 208.615247 119.522175 \nL 209.512609 116.916432 \nL 209.861388 114.578271 \nL 209.620355 112.588537 \nL 208.769709 111.015928 \nL 207.314316 109.910449 \nL 205.284764 109.298359 \nL 202.735978 109.179601 \nL 199.743384 109.528297 \nL 196.397187 110.296238 \nL 192.795549 111.418721 \nL 189.037684 112.821702 \nL 185.217703 114.429039 \nL 177.71551 117.977817 \nL 170.800969 121.609816 \nL 164.76486 125.057885 \nL 159.71364 128.218659 \nL 155.628958 131.09272 \nL 152.42248 133.728041 \nL 149.975939 136.182249 \nL 148.166418 138.503616 \nL 146.88044 140.724834 \nL 146.020683 142.863638 \nL 145.508217 144.926112 \nL 145.282282 146.910372 \nL 145.298876 148.80961 \nL 145.528911 150.614177 \nL 145.956419 152.312747 \nL 146.577025 153.892692 \nL 147.396803 155.339857 \nL 148.431547 156.637826 \nL 149.706419 157.766789 \nL 151.255892 158.701949 \nL 153.12385 159.411504 \nL 155.363629 159.854094 \nL 158.037608 159.975693 \nL 161.215749 159.70602 \nL 164.972115 158.954774 \nL 167.089767 158.364073 \nL 169.377809 157.608565 \nL 171.842573 156.670371 \nL 174.488142 155.530403 \nL 177.315434 154.168748 \nL 180.321046 152.565321 \nL 183.495899 150.700825 \nL 186.823656 148.558094 \nL 190.278962 146.123929 \nL 193.825597 143.391438 \nL 197.41468 140.362899 \nL 200.983169 137.053068 \nL 204.452974 133.492693 \nL 207.731093 129.731831 \nL 210.711241 125.842415 \nL 213.277423 121.919199 \nL 215.309744 118.078269 \nL 216.692506 114.452261 \nL 217.32409 111.181919 \nL 217.127667 108.404208 \nL 216.061184 106.238302 \nL 214.124731 104.771538 \nL 211.363658 104.048122 \nL 207.866328 104.063152 \nL 203.756555 104.763611 \nL 199.18194 106.056242 \nL 194.300196 107.820631 \nL 189.265821 109.924598 \nL 184.21914 112.238907 \nL 174.538489 117.061153 \nL 165.905315 121.642264 \nL 158.600556 125.69663 \nL 152.645153 129.19566 \nL 147.91367 132.237534 \nL 144.217715 134.952986 \nL 141.355989 137.456684 \nL 139.139994 139.830975 \nL 137.404847 142.126579 \nL 136.011837 144.369781 \nL 134.31988 147.655456 \nL 130.825028 154.905042 \nL 129.671311 156.843154 \nL 128.355044 158.711122 \nL 126.825815 160.50192 \nL 125.029942 162.205786 \nL 122.908693 163.807795 \nL 120.397191 165.284374 \nL 117.424388 166.598424 \nL 113.914846 167.692572 \nL 111.935123 168.131533 \nL 109.793577 168.480116 \nL 107.48251 168.72102 \nL 104.995881 168.833578 \nL 102.330097 168.793351 \nL 99.484999 168.571788 \nL 96.465087 168.136 \nL 93.28097 167.448774 \nL 89.951055 166.468935 \nL 86.503399 165.152222 \nL 82.977632 163.452879 \nL 79.426754 161.326175 \nL 75.918514 158.73199 \nL 72.535984 155.639629 \nL 69.376853 152.03368 \nL 66.550926 147.92064 \nL 64.175398 143.335484 \nL 62.367737 138.34712 \nL 61.236441 133.061207 \nL 60.870481 127.618922 \nL 61.328881 122.190557 \nL 62.632293 116.963829 \nL 64.758314 112.12795 \nL 67.641839 107.855813 \nL 71.180658 104.287422 \nL 75.24537 101.517589 \nL 79.691781 99.590021 \nL 84.373533 98.498299 \nL 89.153062 98.192836 \nL 93.909544 98.591661 \nL 98.543497 99.592732 \nL 102.97826 101.085594 \nL 107.159108 102.960946 \nL 111.050838 105.11757 \nL 114.634603 107.466499 \nL 117.904574 109.932887 \nL 120.864822 112.456129 \nL 123.526586 114.988907 \nL 125.906024 117.495545 \nL 128.022426 119.950155 \nL 129.896822 122.334792 \nL 133.006506 126.852127 \nL 135.405335 131.004356 \nL 137.249333 134.791611 \nL 138.673883 138.235305 \nL 140.266673 142.822585 \nL 143.855834 154.227574 \nL 144.627219 155.934882 \nL 145.503757 157.472264 \nL 146.521099 158.838876 \nL 147.717737 160.02824 \nL 149.136771 161.027348 \nL 150.827518 161.815327 \nL 152.846926 162.361495 \nL 155.260587 162.622753 \nL 158.142997 162.540174 \nL 161.576353 162.034915 \nL 165.646734 161.003814 \nL 167.946842 160.251252 \nL 170.43572 159.315806 \nL 173.120288 158.176662 \nL 176.004636 156.811613 \nL 179.08886 155.19758 \nL 182.367615 153.311487 \nL 185.828398 151.131536 \nL 189.449576 148.639027 \nL 193.198188 145.820779 \nL 197.027718 142.672245 \nL 200.87598 139.201238 \nL 204.663545 135.432147 \nL 208.293111 131.410269 \nL 211.650396 127.205578 \nL 214.607197 122.915086 \nL 217.027099 118.662631 \nL 218.774075 114.594951 \nL 219.723723 110.873208 \nL 219.776159 107.659862 \nL 218.868784 105.101973 \nL 216.986657 103.313421 \nL 214.168101 102.359401 \nL 210.503786 102.246853 \nL 206.128966 102.923517 \nL 201.209995 104.286012 \nL 195.927733 106.195253 \nL 190.46093 108.495579 \nL 184.972351 111.033449 \nL 174.449058 116.301994 \nL 160.967691 123.473474 \nL 150.826347 129.155012 \nL 145.760626 132.245172 \nL 141.802243 134.963131 \nL 138.721682 137.446555 \nL 136.307188 139.792054 \nL 134.375092 142.05784 \nL 132.771361 144.273083 \nL 130.0631 148.580283 \nL 128.098435 151.682668 \nL 126.679144 153.670265 \nL 125.097134 155.577743 \nL 123.291755 157.388873 \nL 121.202822 159.082875 \nL 118.769094 160.631439 \nL 115.92807 161.99453 \nL 112.617715 163.114788 \nL 110.768329 163.559481 \nL 108.781051 163.910461 \nL 106.651003 164.152332 \nL 104.375055 164.267123 \nL 101.952477 164.234052 \nL 99.385719 164.029386 \nL 96.681364 163.62641 \nL 93.851197 162.995625 \nL 90.913423 162.105202 \nL 87.893926 160.92186 \nL 84.827523 159.412246 \nL 81.759046 157.544938 \nL 78.744038 155.293153 \nL 75.848858 152.638166 \nL 73.149849 149.573325 \nL 70.731313 146.108398 \nL 68.682066 142.27374 \nL 67.090524 138.123591 \nL 66.038488 133.737681 \nL 65.594169 129.220304 \nL 65.805272 124.696247 \nL 66.693206 120.303468 \nL 68.24945 116.183133 \nL 70.434922 112.468138 \nL 73.182602 109.271937 \nL 76.403094 106.679441 \nL 79.99222 104.741385 \nL 83.839427 103.472909 \nL 87.835764 102.856133 \nL 91.880446 102.845841 \nL 95.885465 103.376999 \nL 99.77815 104.372662 \nL 103.501902 105.751329 \nL 107.015522 107.432855 \nL 110.291644 109.342758 \nL 113.314688 111.41489 \nL 116.078666 113.592686 \nL 118.585089 115.829372 \nL 120.841071 118.087449 \nL 122.857728 120.337727 \nL 124.64885 122.558186 \nL 126.229833 124.732777 \nL 127.616862 126.850307 \nL 129.874082 130.887777 \nL 131.545518 134.643609 \nL 132.742717 138.119011 \nL 133.559717 141.329994 \nL 134.072213 144.299318 \nL 134.338501 147.051838 \nL 134.401237 149.611991 \nL 134.289436 152.002526 \nL 134.020337 154.243949 \nL 133.600966 156.354385 \nL 133.02928 158.349602 \nL 132.294883 160.243067 \nL 131.379321 162.045926 \nL 130.255964 163.766778 \nL 128.889559 165.411124 \nL 127.23549 166.980315 \nL 125.238896 168.469742 \nL 122.833872 169.865936 \nL 119.943133 171.142054 \nL 116.478926 172.251107 \nL 114.502235 172.720445 \nL 112.346414 173.11612 \nL 109.999812 173.421584 \nL 107.451749 173.616487 \nL 104.693273 173.676057 \nL 101.718175 173.570452 \nL 98.524281 173.264179 \nL 95.115101 172.71565 \nL 91.501836 171.877013 \nL 87.705757 170.694467 \nL 83.760902 169.109316 \nL 79.716908 167.060082 \nL 75.641731 164.48602 \nL 71.623779 161.332373 \nL 67.772799 157.557536 \nL 64.218752 153.141988 \nL 61.107773 148.098364 \nL 58.594568 142.481337 \nL 56.831014 136.395248 \nL 55.951628 129.996956 \nL 56.057651 123.49148 \nL 57.202412 117.119041 \nL 59.381236 111.134001 \nL 62.528544 105.778672 \nL 66.523406 101.256807 \nL 71.202669 97.712309 \nL 76.378936 95.217345 \nL 81.85969 93.771731 \nL 87.464042 93.312271 \nL 93.0348 93.728855 \nL 98.445112 94.883137 \nL 103.600165 96.626139 \nL 108.435282 98.81246 \nL 112.911832 101.309983 \nL 117.012273 104.005344 \nL 120.735201 106.805848 \nL 124.090928 109.638915 \nL 127.097808 112.450015 \nL 129.779344 115.199939 \nL 132.162001 117.861865 \nL 134.27359 120.418644 \nL 137.795024 125.182627 \nL 140.557669 129.467841 \nL 142.753444 133.293533 \nL 146.077562 139.715629 \nL 148.124484 143.603886 \nL 149.457041 145.808744 \nL 150.853109 147.724404 \nL 152.379046 149.358002 \nL 154.096145 150.7066 \nL 156.063339 151.756403 \nL 158.338988 152.481685 \nL 159.610735 152.711001 \nL 160.98145 152.843448 \nL 162.458256 152.871845 \nL 164.048017 152.788022 \nL 165.757166 152.582805 \nL 167.591464 152.246041 \nL 169.55569 151.766656 \nL 171.653236 151.132783 \nL 173.885617 150.33197 \nL 176.25186 149.351516 \nL 178.747795 148.178933 \nL 181.365214 146.80261 \nL 184.090939 145.212666 \nL 186.905817 143.402072 \nL 189.783685 141.368019 \nL 192.690426 139.113531 \nL 195.58317 136.649264 \nL 198.409875 133.995376 \nL 201.109424 131.183305 \nL 203.612485 128.257147 \nL 205.843331 125.274305 \nL 207.722771 122.305025 \nL 209.172226 119.430437 \nL 210.118829 116.738889 \nL 210.501175 114.320522 \nL 210.275131 112.260477 \nL 209.418911 110.631427 \nL 207.9366 109.486479 \nL 205.859415 108.853716 \nL 203.24427 108.733381 \nL 200.169767 109.098289 \nL 196.730099 109.897561 \nL 193.027801 111.062868 \nL 189.166383 112.516105 \nL 185.2438 114.177153 \nL 177.550989 117.830528 \nL 170.476651 121.549488 \nL 164.315339 125.061033 \nL 159.169868 128.264387 \nL 155.014913 131.166237 \nL 151.754532 133.820795 \nL 149.263524 136.290622 \nL 147.413129 138.627365 \nL 146.085102 140.865827 \nL 145.178202 143.025069 \nL 144.610178 145.112081 \nL 144.317291 147.125791 \nL 144.252664 149.060331 \nL 144.384247 150.90727 \nL 144.692844 152.656909 \nL 145.170432 154.298801 \nL 145.818894 155.821677 \nL 146.649184 157.212932 \nL 147.680915 158.457732 \nL 148.942318 159.537787 \nL 150.470496 160.429719 \nL 152.311841 161.103016 \nL 154.522402 161.517415 \nL 157.167884 161.619677 \nL 160.322657 161.339729 \nL 164.06685 160.586442 \nL 168.479973 159.243766 \nL 170.959232 158.307808 \nL 173.628738 157.168996 \nL 176.491367 155.805948 \nL 179.545877 154.196679 \nL 182.785497 152.319504 \nL 186.196259 150.154349 \nL 189.755096 147.684576 \nL 193.427787 144.899379 \nL 197.166881 141.7968 \nL 200.909825 138.387311 \nL 204.57765 134.697756 \nL 208.074631 130.775307 \nL 211.289485 126.690757 \nL 214.098634 122.540339 \nL 216.371965 118.444994 \nL 217.981251 114.546091 \nL 218.810881 110.996943 \nL 218.769913 107.950135 \nL 217.803735 105.541863 \nL 215.903273 103.875619 \nL 213.109572 103.00837 \nL 209.512363 102.942435 \nL 205.242356 103.625321 \nL 200.458487 104.957721 \nL 195.332483 106.808018 \nL 190.033574 109.029893 \nL 184.715769 111.479415 \nL 174.515853 116.573881 \nL 165.436509 121.376184 \nL 154.488024 127.439774 \nL 148.925734 130.749068 \nL 144.551528 133.629316 \nL 141.147482 136.223618 \nL 138.500697 138.642546 \nL 136.420731 140.958617 \nL 134.74517 143.212492 \nL 132.701617 146.512315 \nL 128.45549 153.806658 \nL 127.053387 155.74982 \nL 125.457617 157.610531 \nL 123.610775 159.374315 \nL 121.453415 161.021522 \nL 118.922919 162.5239 \nL 115.953676 163.839881 \nL 112.479296 164.90827 \nL 110.532951 165.323174 \nL 108.437982 165.640172 \nL 106.189061 165.842248 \nL 103.7828 165.909426 \nL 101.218504 165.818506 \nL 98.49909 165.542884 \nL 95.632185 165.052529 \nL 92.631396 164.314212 \nL 89.517716 163.292063 \nL 86.321007 161.948656 \nL 83.081443 160.246675 \nL 79.850715 158.15138 \nL 76.692764 155.633915 \nL 73.683712 152.675452 \nL 70.910636 149.272017 \nL 68.468844 145.439607 \nL 66.457408 141.218917 \nL 64.972959 136.678777 \nL 64.102102 131.917247 \nL 63.913188 127.059385 \nL 64.44856 122.251139 \nL 65.718639 117.649488 \nL 67.699047 113.409814 \nL 70.331502 109.672311 \nL 73.528562 106.549736 \nL 77.18144 104.118427 \nL 81.169535 102.414139 \nL 85.370154 101.432876 \nL 89.667004 101.136087 \nL 93.956562 101.458752 \nL 98.151955 102.318664 \nL 102.184533 103.625468 \nL 106.003552 105.288271 \nL 109.574608 107.22136 \nL 112.87733 109.347889 \nL 115.902853 111.601807 \nL 118.651314 113.928372 \nL 121.129608 116.283688 \nL 123.34946 118.633664 \nL 125.325843 120.952665 \nL 127.075718 123.222107 \nL 128.617059 125.429118 \nL 131.146843 129.625828 \nL 133.055679 133.512575 \nL 134.470002 137.091321 \nL 135.497598 140.380465 \nL 136.226765 143.405534 \nL 136.909646 147.5078 \nL 137.245822 151.164971 \nL 137.343486 154.452666 \nL 137.204877 158.367271 \nL 136.806953 161.850424 \nL 136.330575 164.234594 \nL 135.669705 166.458958 \nL 134.773481 168.552054 \nL 134.009394 169.887466 \nL 133.078612 171.183099 \nL 131.944585 172.444917 \nL 130.562172 173.67718 \nL 128.875944 174.881176 \nL 126.818297 176.053108 \nL 124.307556 177.180636 \nL 121.246476 178.237378 \nL 117.521948 179.174325 \nL 113.007516 179.906794 \nL 110.412747 180.155577 \nL 107.571575 180.295331 \nL 104.469814 180.295759 \nL 101.096242 180.119502 \nL 97.444351 179.721076 \nL 93.514647 179.045935 \nL 89.317561 178.029865 \nL 84.877025 176.599032 \nL 80.234648 174.671128 \nL 75.454294 172.158167 \nL 70.626601 168.971647 \nL 65.872692 165.0307 \nL 61.345838 160.27369 \nL 57.229666 154.673045 \nL 53.731164 148.252176 \nL 51.067294 141.101739 \nL 49.444986 133.391168 \nL 49.036222 125.370406 \nL 49.95218 117.357503 \nL 52.222169 109.710585 \nL 55.783323 102.787244 \nL 60.484803 96.899354 \nL 66.106445 92.273792 \nL 72.387373 89.028494 \nL 79.05768 87.168544 \nL 85.866159 86.600795 \nL 92.59962 87.1609 \nL 99.092359 88.644648 \nL 105.227134 90.836801 \nL 110.93036 93.533108 \nL 116.164334 96.554208 \nL 120.918761 99.75217 \nL 125.202949 103.01145 \nL 129.039352 106.24631 \nL 132.458577 109.396383 \nL 135.495738 112.421722 \nL 138.187882 115.298039 \nL 142.685167 120.560568 \nL 146.233138 125.163913 \nL 150.314468 130.926621 \nL 154.470665 136.784745 \nL 156.337071 139.042934 \nL 158.214249 140.897365 \nL 160.190624 142.363721 \nL 162.338967 143.44442 \nL 163.496721 143.837409 \nL 164.718829 144.129186 \nL 166.010779 144.316632 \nL 167.377209 144.395993 \nL 168.82181 144.362947 \nL 170.347178 144.212699 \nL 171.954639 143.940124 \nL 175.413358 143.006942 \nL 179.173329 141.523786 \nL 183.170597 139.463172 \nL 185.224523 138.214709 \nL 187.289923 136.82503 \nL 189.342635 135.30166 \nL 191.35428 133.656454 \nL 193.292386 131.906213 \nL 195.120775 130.073175 \nL 196.8003 128.185243 \nL 198.289938 126.275879 \nL 199.548282 124.383534 \nL 200.535379 122.550577 \nL 201.214865 120.821638 \nL 201.556215 119.241476 \nL 201.536967 117.85246 \nL 201.144641 116.691884 \nL 200.378137 115.789439 \nL 199.248415 115.165106 \nL 197.778314 114.827816 \nL 196.001487 114.775028 \nL 193.960547 114.99332 \nL 191.704627 115.459923 \nL 189.286611 116.144925 \nL 186.760353 117.013906 \nL 181.588371 119.15935 \nL 176.553306 121.624303 \nL 171.924182 124.194645 \nL 167.866794 126.731508 \nL 164.458279 129.162346 \nL 161.711053 131.46026 \nL 159.596895 133.623017 \nL 158.066668 135.657303 \nL 157.064513 137.569175 \nL 156.53709 139.359466 \nL 156.439006 141.022243 \nL 156.735549 142.544821 \nL 157.403643 143.908284 \nL 158.431642 145.087844 \nL 159.818336 146.052941 \nL 161.571328 146.766898 \nL 163.704692 147.186355 \nL 166.235679 147.260757 \nL 169.180044 146.932306 \nL 172.545373 146.137182 \nL 176.321769 144.809076 \nL 180.46939 142.886547 \nL 182.657998 141.687534 \nL 184.902929 140.325902 \nL 187.183599 138.802224 \nL 189.474508 137.121031 \nL 191.744947 135.291761 \nL 193.958883 133.329694 \nL 196.075181 131.256757 \nL 198.048213 129.102122 \nL 199.828943 126.902404 \nL 201.366561 124.701313 \nL 202.610647 122.548643 \nL 203.513815 120.498453 \nL 204.034685 118.6065 \nL 204.140914 116.926977 \nL 203.812004 115.508891 \nL 203.041511 114.392445 \nL 201.838335 113.605835 \nL 200.22684 113.163069 \nL 198.24573 113.063009 \nL 195.945746 113.289892 \nL 193.386475 113.815276 \nL 190.632636 114.601036 \nL 187.750288 115.602996 \nL 184.803354 116.774678 \nL 178.944534 119.449404 \nL 173.437162 122.317287 \nL 168.528655 125.168928 \nL 164.34342 127.89272 \nL 160.912594 130.448996 \nL 158.207116 132.839176 \nL 156.16562 135.081198 \nL 154.714634 137.194213 \nL 153.781643 139.191118 \nL 153.302714 141.076223 \nL 153.226362 142.84549 \nL 153.515037 144.487725 \nL 154.145203 145.985728 \nL 155.106639 147.316977 \nL 156.401323 148.453678 \nL 158.042035 149.362197 \nL 160.050613 150.002022 \nL 162.455628 150.324425 \nL 165.289032 150.271108 \nL 168.581121 149.773439 \nL 172.352905 148.753137 \nL 174.420025 148.020689 \nL 176.604831 147.125864 \nL 178.901561 146.058582 \nL 181.300914 144.809873 \nL 183.789285 143.372617 \nL 186.348001 141.742466 \nL 188.952536 139.918937 \nL 191.571835 137.906685 \nL 194.167813 135.716865 \nL 196.695158 133.368498 \nL 199.101562 130.889722 \nL 201.328573 128.318671 \nL 203.313139 125.703786 \nL 204.989993 123.103267 \nL 206.294845 120.583445 \nL 207.16828 118.215931 \nL 207.560089 116.073559 \nL 207.43361 114.225363 \nL 206.769554 112.73112 \nL 205.568718 111.636134 \nL 203.853123 110.967059 \nL 201.665255 110.72954 \nL 199.065428 110.908038 \nL 196.127562 111.468001 \nL 192.933954 112.359947 \nL 189.569724 113.524806 \nL 186.117667 114.899574 \nL 179.245246 118.037638 \nL 172.801675 121.361884 \nL 167.088984 124.604733 \nL 162.244699 127.638865 \nL 158.286578 130.435396 \nL 155.159236 133.017368 \nL 152.771178 135.425072 \nL 151.019966 137.696214 \nL 149.807409 139.857591 \nL 149.047669 141.923609 \nL 148.670818 143.898017 \nL 148.623701 145.776503 \nL 148.869389 147.549067 \nL 149.385983 149.201607 \nL 150.165282 150.716711 \nL 151.211558 152.073651 \nL 152.540513 153.247683 \nL 154.178415 154.20879 \nL 156.161252 154.919882 \nL 158.533628 155.334538 \nL 161.346946 155.39444 \nL 164.656156 155.026768 \nL 168.514022 154.142233 \nL 170.662313 153.473643 \nL 172.961409 152.634997 \nL 175.412012 151.611143 \nL 178.011719 150.386806 \nL 180.754086 148.947228 \nL 183.627547 147.279037 \nL 186.614215 145.371445 \nL 189.688615 143.217721 \nL 192.816417 140.817061 \nL 195.953327 138.176693 \nL 199.044268 135.314217 \nL 202.023149 132.259931 \nL 204.813439 129.058838 \nL 207.329858 125.771942 \nL 209.481436 122.47629 \nL 211.176043 119.263271 \nL 212.326322 116.234739 \nL 212.856657 113.496816 \nL 212.710469 111.151712 \nL 211.856869 109.288343 \nL 210.295518 107.973121 \nL 208.05873 107.242574 \nL 205.210169 107.099165 \nL 201.840112 107.511472 \nL 198.057968 108.418595 \nL 193.983229 109.738095 \nL 189.736243 111.375811 \nL 185.430123 113.235737 \nL 177.022657 117.277334 \nL 169.348347 121.316213 \nL 162.716613 125.056313 \nL 157.216348 128.407307 \nL 152.79576 131.399812 \nL 149.330289 134.11218 \nL 146.668835 136.625717 \nL 144.660927 139.004602 \nL 143.170571 141.291292 \nL 142.08189 143.509319 \nL 141.300091 145.668505 \nL 140.749999 147.770087 \nL 140.236202 150.806601 \nL 139.977505 153.688464 \nL 139.885512 157.263978 \nL 140.039375 161.276019 \nL 140.34111 164.112847 \nL 140.823267 166.61947 \nL 141.339482 168.281778 \nL 142.034677 169.751915 \nL 142.626907 170.619424 \nL 143.349157 171.389836 \nL 144.23086 172.053864 \nL 145.308364 172.598234 \nL 146.62641 173.004244 \nL 148.239829 173.245804 \nL 150.215414 173.286718 \nL 152.633778 173.07693 \nL 155.590829 172.547493 \nL 159.198077 171.603962 \nL 163.580341 170.1183 \nL 168.868245 167.92009 \nL 171.89031 166.487126 \nL 175.181129 164.789694 \nL 178.748405 162.792845 \nL 182.59366 160.459729 \nL 186.709658 157.753083 \nL 191.07725 154.637592 \nL 195.661666 151.083366 \nL 200.408367 147.070776 \nL 205.238791 142.596741 \nL 210.046519 137.682435 \nL 214.694745 132.381838 \nL 219.01617 126.790098 \nL 222.816744 121.049881 \nL 225.884653 115.353134 \nL 228.005359 109.935405 \nL 228.982538 105.060274 \nL 228.6629 100.993265 \nL 226.960865 97.967575 \nL 223.877597 96.147832 \nL 219.508763 95.600719 \nL 214.0376 96.281232 \nL 207.713528 98.039704 \nL 200.821096 100.648334 \nL 193.646445 103.839734 \nL 186.448648 107.347002 \nL 172.780876 114.424811 \nL 155.717826 123.311854 \nL 143.288242 129.495714 \nL 134.678305 133.774901 \nL 130.490668 136.042509 \nL 127.178994 138.068875 \nL 124.48201 139.963041 \nL 121.132028 142.661041 \nL 116.139246 146.78309 \nL 114.033776 148.22993 \nL 111.753691 149.502723 \nL 109.248207 150.551251 \nL 106.483758 151.316166 \nL 103.446461 151.72777 \nL 101.827692 151.776334 \nL 100.147006 151.705625 \nL 98.410751 151.504217 \nL 96.627797 151.160457 \nL 94.809818 150.662771 \nL 92.971545 150.000093 \nL 91.130969 149.162417 \nL 89.309456 148.141468 \nL 87.531722 146.931503 \nL 85.825637 145.530217 \nL 84.221798 143.939704 \nL 82.752849 142.167402 \nL 81.452505 140.226968 \nL 80.354315 138.138915 \nL 79.490166 135.930944 \nL 78.888631 133.637808 \nL 78.573268 131.300657 \nL 78.561004 128.96578 \nL 78.86081 126.682786 \nL 79.472768 124.502333 \nL 80.387708 122.473599 \nL 81.587455 120.641679 \nL 83.045664 119.045246 \nL 84.729213 117.71465 \nL 86.599959 116.670685 \nL 88.616708 115.924121 \nL 90.737192 115.475908 \nL 92.919907 115.318123 \nL 95.125642 115.435301 \nL 97.318669 115.806124 \nL 99.467537 116.405193 \nL 101.545502 117.204703 \nL 103.530629 118.175971 \nL 105.405656 119.290684 \nL 107.157651 120.521855 \nL 108.77756 121.844487 \nL 110.259689 123.235985 \nL 111.60117 124.676348 \nL 112.801427 126.148192 \nL 113.86169 127.636662 \nL 115.573531 130.615504 \nL 116.76697 133.536544 \nL 117.478175 136.349117 \nL 117.742377 139.020558 \nL 117.58963 141.52962 \nL 117.042556 143.86114 \nL 116.115578 146.001696 \nL 114.815297 147.935997 \nL 113.141864 149.643672 \nL 112.164057 150.404034 \nL 111.091343 151.096277 \nL 109.923172 151.715111 \nL 108.659258 152.25437 \nL 107.29978 152.706958 \nL 105.845614 153.064784 \nL 104.298596 153.318709 \nL 102.661832 153.458548 \nL 100.940036 153.473109 \nL 99.139898 153.350292 \nL 97.270501 153.077262 \nL 95.343712 152.640752 \nL 93.374596 152.027455 \nL 91.381779 151.22461 \nL 89.38773 150.220703 \nL 87.418907 149.006386 \nL 85.505738 147.575528 \nL 83.682329 145.92641 \nL 81.985875 144.062972 \nL 80.455703 141.996053 \nL 79.131948 139.744428 \nL 78.053857 137.335553 \nL 77.257807 134.805787 \nL 76.775165 132.199976 \nL 76.630137 129.570265 \nL 76.837886 126.974137 \nL 77.403086 124.471748 \nL 78.319147 122.122769 \nL 79.56822 119.983027 \nL 81.122041 118.101352 \nL 82.943488 116.516887 \nL 84.988744 115.257241 \nL 87.209768 114.33762 \nL 89.556839 113.760974 \nL 91.980927 113.519009 \nL 94.435703 113.593891 \nL 96.87907 113.960403 \nL 99.274195 114.588213 \nL 101.590037 115.444062 \nL 103.801459 116.493733 \nL 105.889014 117.703629 \nL 107.838494 119.041955 \nL 109.64033 120.47954 \nL 111.288934 121.990309 \nL 112.782008 123.551465 \nL 114.1199 125.14348 \nL 115.304992 126.749926 \nL 116.341169 128.357208 \nL 117.233352 129.954261 \nL 118.608304 133.084079 \nL 119.47659 136.089065 \nL 119.882734 138.939603 \nL 119.864355 141.619115 \nL 119.449678 144.118098 \nL 118.65663 146.429523 \nL 117.49303 148.545136 \nL 115.957643 150.452281 \nL 114.042023 152.130848 \nL 112.937677 152.875327 \nL 111.733304 153.550157 \nL 110.427272 154.14931 \nL 109.018271 154.665675 \nL 107.505554 155.090971 \nL 105.889203 155.415653 \nL 104.170465 155.628838 \nL 102.352117 155.718298 \nL 100.438898 155.670473 \nL 98.437977 155.470582 \nL 96.359473 155.102841 \nL 94.216983 154.550815 \nL 92.02811 153.797928 \nL 89.814945 152.828197 \nL 87.604437 151.627187 \nL 85.428603 150.183195 \nL 83.324459 148.488687 \nL 81.333617 146.541891 \nL 79.501445 144.348475 \nL 77.875721 141.923175 \nL 76.504778 139.291131 \nL 75.435157 136.488746 \nL 74.708898 133.563752 \nL 74.360684 130.574331 \nL 74.415115 127.587157 \nL 74.884428 124.674328 \nL 75.76701 121.909483 \nL 77.0469 119.363372 \nL 78.694449 117.099444 \nL 80.668061 115.169963 \nL 82.916814 113.613103 \nL 85.383643 112.451368 \nL 88.008718 111.691401 \nL 90.732645 111.325128 \nL 93.499199 111.33194 \nL 96.257412 111.681475 \nL 98.962949 112.336687 \nL 101.578808 113.256786 \nL 104.075454 114.399859 \nL 106.430485 115.724976 \nL 108.62801 117.193734 \nL 110.657839 118.771259 \nL 112.514599 120.426763 \nL 114.196846 122.133729 \nL 115.706238 123.869814 \nL 117.046774 125.616571 \nL 118.224136 127.359062 \nL 119.245126 129.085435 \nL 120.848097 132.455188 \nL 121.916878 135.676401 \nL 122.508844 138.723616 \nL 122.67241 141.586227 \nL 122.444408 144.261803 \nL 121.849149 146.751242 \nL 120.898519 149.055104 \nL 119.592778 151.170688 \nL 117.921858 153.089293 \nL 115.867237 154.793365 \nL 114.688573 155.556256 \nL 113.404611 156.253247 \nL 112.012051 156.878109 \nL 110.50783 157.423354 \nL 108.889352 157.880078 \nL 107.154801 158.237824 \nL 105.303482 158.484463 \nL 103.336263 158.606092 \nL 101.25606 158.586987 \nL 99.068422 158.409634 \nL 96.782177 158.054869 \nL 94.410133 157.50219 \nL 91.969812 156.73026 \nL 89.484172 155.717662 \nL 86.982239 154.443994 \nL 84.499577 152.89128 \nL 82.078458 151.045754 \nL 79.767619 148.89997 \nL 77.621459 146.455133 \nL 75.698557 143.723464 \nL 74.059411 140.730352 \nL 72.763464 137.515919 \nL 71.865488 134.135606 \nL 71.411634 130.659425 \nL 71.435544 127.169643 \nL 71.955008 123.756809 \nL 72.969703 120.514429 \nL 74.460348 117.532787 \nL 76.389564 114.892636 \nL 78.704311 112.659718 \nL 81.339625 110.880661 \nL 84.223136 109.580939 \nL 87.279765 108.764907 \nL 90.43607 108.417712 \nL 93.62382 108.508661 \nL 96.782549 108.99536 \nL 99.861091 109.828052 \nL 102.81815 110.953628 \nL 105.62213 112.319045 \nL 108.250394 113.873872 \nL 110.68823 115.572053 \nL 112.92763 117.372893 \nL 114.966075 119.241475 \nL 116.805352 121.148596 \nL 118.450513 123.070417 \nL 119.908948 124.987916 \nL 121.18963 126.886283 \nL 122.302467 128.754281 \nL 124.065999 132.368546 \nL 125.280871 135.790871 \nL 126.020786 139.006432 \nL 126.347106 142.01517 \nL 126.306812 144.824792 \nL 125.932071 147.446138 \nL 125.240691 149.890012 \nL 124.236988 152.164893 \nL 122.912817 154.274967 \nL 121.248688 156.218178 \nL 119.215081 157.983842 \nL 116.774206 159.549594 \nL 115.387609 160.246343 \nL 113.882715 160.877318 \nL 112.253961 161.434424 \nL 110.496139 161.907861 \nL 108.604704 162.28589 \nL 106.57618 162.554612 \nL 104.408647 162.69776 \nL 102.102349 162.696522 \nL 99.66041 162.529439 \nL 97.089683 162.17243 \nL 94.401711 161.598976 \nL 91.613797 160.78058 \nL 88.750098 159.68756 \nL 85.842715 158.290281 \nL 82.932605 156.560922 \nL 80.070192 154.475815 \nL 77.315437 152.018394 \nL 74.73714 149.182635 \nL 72.411231 145.976775 \nL 70.417882 142.426901 \nL 68.83735 138.579848 \nL 67.744745 134.504737 \nL 67.204036 130.292457 \nL 67.262053 126.052583 \nL 67.943234 121.907522 \nL 69.246087 117.984351 \nL 71.142007 114.405153 \nL 73.576872 111.277229 \nL 76.475194 108.68474 \nL 79.746251 106.682948 \nL 83.291223 105.295914 \nL 87.010295 104.517646 \nL 90.80882 104.316152 \nL 94.601993 104.639408 \nL 98.317771 105.422149 \nL 101.898165 106.592436 \nL 105.299186 108.077299 \nL 108.489826 109.807085 \nL 111.450476 111.718406 \nL 114.171066 113.755779 \nL 116.649204 115.872272 \nL 118.888421 118.029365 \nL 120.896628 120.196331 \nL 122.684812 122.349337 \nL 124.265957 124.470444 \nL 125.654193 126.546615 \nL 127.910297 130.531013 \nL 129.567308 134.263796 \nL 130.729071 137.737192 \nL 131.483903 140.960683 \nL 131.902845 143.952378 \nL 132.039881 146.733821 \nL 131.933141 149.327015 \nL 131.606442 151.752744 \nL 131.070799 154.029654 \nL 130.325673 156.173708 \nL 129.35986 158.197765 \nL 128.152 160.111043 \nL 126.670749 161.918298 \nL 124.874703 163.618453 \nL 122.712302 165.202424 \nL 120.121998 166.649767 \nL 117.03329 167.923658 \nL 115.278184 168.477862 \nL 113.369522 168.96372 \nL 111.29775 169.368384 \nL 109.053976 169.676151 \nL 106.630508 169.868005 \nL 104.021565 169.921161 \nL 101.224191 169.808632 \nL 98.239393 169.49887 \nL 95.073542 168.955573 \nL 91.74004 168.137773 \nL 88.261219 167.000367 \nL 84.670418 165.495262 \nL 81.014068 163.573418 \nL 77.353568 161.18793 \nL 73.766573 158.298419 \nL 70.347219 154.876731 \nL 67.204715 150.913752 \nL 64.459772 146.426811 \nL 62.238417 141.466629 \nL 60.663207 136.12243 \nL 59.842334 130.523414 \nL 59.857896 124.835146 \nL 60.755138 119.24994 \nL 62.534848 113.971642 \nL 65.150689 109.196721 \nL 68.512431 105.094864 \nL 72.494658 101.792609 \nL 76.949377 99.363158 \nL 81.720071 97.82385 \nL 86.654808 97.140993 \nL 91.616538 97.240161 \nL 96.4897 98.019389 \nL 101.183165 99.362549 \nL 105.630151 101.150987 \nL 109.786085 103.272351 \nL 113.625323 105.626286 \nL 117.13748 108.127349 \nL 120.32389 110.705749 \nL 123.194465 113.306589 \nL 125.76507 115.888253 \nL 128.055432 118.420374 \nL 130.087518 120.881765 \nL 131.884323 123.258486 \nL 134.864125 127.728536 \nL 137.171542 131.806705 \nL 138.964923 135.504878 \nL 140.981749 140.40219 \nL 145.099985 151.372923 \nL 146.032009 153.196022 \nL 147.073966 154.819613 \nL 148.269052 156.243153 \nL 149.662204 157.45904 \nL 151.302085 158.451635 \nL 153.24272 159.195759 \nL 155.544638 159.65463 \nL 158.275227 159.777154 \nL 161.507745 159.49468 \nL 165.318025 158.717567 \nL 167.462587 158.109066 \nL 169.777354 157.332503 \nL 172.268373 156.370009 \nL 174.939287 155.202551 \nL 177.79039 153.810368 \nL 180.817451 152.173661 \nL 184.010325 150.273605 \nL 187.351365 148.093776 \nL 190.813643 145.622049 \nL 194.359136 142.853004 \nL 197.93697 139.790853 \nL 201.48202 136.452766 \nL 204.914179 132.87234 \nL 208.138709 129.102819 \nL 211.048156 125.219399 \nL 213.526245 121.319835 \nL 215.454024 117.522472 \nL 216.718199 113.960909 \nL 217.221147 110.775082 \nL 216.891521 108.099033 \nL 215.693815 106.046895 \nL 213.635117 104.699252 \nL 210.767373 104.092641 \nL 207.184329 104.214658 \nL 203.013319 105.006045 \nL 198.403266 106.369385 \nL 193.511061 108.182587 \nL 188.488615 110.314204 \nL 183.472488 112.637581 \nL 173.89157 117.437696 \nL 165.383038 121.969515 \nL 158.204268 125.971561 \nL 152.363039 129.427608 \nL 147.728582 132.439141 \nL 144.111852 135.135384 \nL 141.313238 137.627868 \nL 139.146864 139.995858 \nL 137.450646 142.287698 \nL 136.088503 144.528101 \nL 134.432665 147.809539 \nL 131.003863 155.046182 \nL 129.869762 156.980614 \nL 128.575062 158.845587 \nL 127.070038 160.634605 \nL 125.301595 162.338599 \nL 123.211471 163.943552 \nL 120.735072 165.427119 \nL 117.801322 166.753863 \nL 114.334224 167.868647 \nL 112.376587 168.321786 \nL 110.257334 168.687683 \nL 107.968361 168.94951 \nL 105.503088 169.087111 \nL 102.857217 169.076572 \nL 100.029699 168.889855 \nL 97.023924 168.49453 \nL 93.849155 167.853726 \nL 90.522198 166.926397 \nL 87.069274 165.6681 \nL 83.527979 164.032445 \nL 79.949165 161.973444 \nL 76.398476 159.448947 \nL 72.957142 156.425314 \nL 69.721567 152.883203 \nL 66.801162 148.824259 \nL 64.313995 144.277935 \nL 62.379967 139.307393 \nL 61.111716 134.013028 \nL 60.603977 128.532076 \nL 60.922771 123.03307 \nL 62.09628 117.70481 \nL 64.109263 112.740638 \nL 66.902522 108.320339 \nL 70.377761 104.592705 \nL 74.407121 101.662076 \nL 78.845618 99.581115 \nL 83.544177 98.350741 \nL 88.361196 97.926443 \nL 93.171186 98.228878 \nL 97.869953 99.156415 \nL 102.376536 100.59726 \nL 106.632557 102.439639 \nL 110.599908 104.579238 \nL 114.257584 106.92385 \nL 117.598247 109.395554 \nL 120.625 111.931047 \nL 123.348547 114.480728 \nL 125.784828 117.007101 \nL 127.953148 119.482879 \nL 129.87472 121.889077 \nL 133.065769 126.447965 \nL 135.531239 130.637094 \nL 137.430514 134.455298 \nL 138.902271 137.923772 \nL 140.557287 142.537264 \nL 143.990868 153.032127 \nL 144.783928 154.812894 \nL 145.675246 156.41563 \nL 146.702077 157.840853 \nL 147.903827 159.083238 \nL 149.323924 160.130785 \nL 151.011503 160.963556 \nL 153.022829 161.551833 \nL 155.422318 161.853624 \nL 158.282759 161.811407 \nL 161.684096 161.34826 \nL 165.709616 160.363723 \nL 167.98149 159.637247 \nL 170.437712 158.730521 \nL 173.084808 157.623427 \nL 175.926519 156.294533 \nL 178.962681 154.721631 \nL 182.187837 152.882568 \nL 185.589595 150.75649 \nL 189.146738 148.325582 \nL 192.827144 145.577387 \nL 196.585666 142.507766 \nL 200.362137 139.124437 \nL 204.079894 135.45097 \nL 207.645171 131.530856 \nL 210.947977 127.431096 \nL 213.864946 123.244428 \nL 216.264727 119.089176 \nL 218.016061 115.105641 \nL 218.998371 111.44824 \nL 219.113917 108.273289 \nL 218.299954 105.723376 \nL 216.538741 103.910578 \nL 213.863209 102.901572 \nL 210.356584 102.708162 \nL 206.145536 103.28561 \nL 201.387859 104.53957 \nL 196.256931 106.340019 \nL 190.925873 108.5391 \nL 185.554003 110.988893 \nL 175.203499 116.131259 \nL 165.951211 121.008846 \nL 154.759751 127.174635 \nL 149.063308 130.529351 \nL 144.57955 133.437323 \nL 141.087984 136.046243 \nL 138.371754 138.471485 \nL 136.236244 140.789335 \nL 134.515175 143.042972 \nL 132.414942 146.341568 \nL 128.712395 152.634703 \nL 127.347757 154.612432 \nL 125.813853 156.51172 \nL 124.052555 158.318533 \nL 122.004896 160.014562 \nL 119.609552 161.574243 \nL 116.802501 162.960566 \nL 113.518464 164.119412 \nL 111.67778 164.590178 \nL 109.695072 164.972252 \nL 107.564362 165.250542 \nL 105.281228 165.407277 \nL 102.84343 165.421712 \nL 100.25171 165.269917 \nL 97.510741 164.924658 \nL 94.630259 164.355473 \nL 91.626332 163.529014 \nL 88.522763 162.409778 \nL 85.352492 160.96136 \nL 82.158923 159.148352 \nL 78.996918 156.939024 \nL 75.933239 154.30881 \nL 73.046087 151.244551 \nL 70.423405 147.749281 \nL 68.159649 143.847044 \nL 66.35089 139.587076 \nL 65.088335 135.046371 \nL 64.450736 130.329665 \nL 64.496531 125.56604 \nL 65.256902 120.901773 \nL 66.730966 116.489868 \nL 68.884166 112.47748 \nL 71.65036 108.993102 \nL 74.937387 106.135683 \nL 78.635201 103.967383 \nL 82.625209 102.511068 \nL 86.789346 101.752484 \nL 91.017669 101.646158 \nL 95.213805 102.123635 \nL 99.298037 103.102408 \nL 103.20827 104.494229 \nL 106.899379 106.211951 \nL 110.341483 108.174467 \nL 113.517659 110.309789 \nL 116.421502 112.556524 \nL 119.054783 114.864111 \nL 121.425355 117.192212 \nL 123.545377 119.50964 \nL 125.429866 121.793062 \nL 127.095539 124.025642 \nL 128.559928 126.195799 \nL 130.955175 130.322216 \nL 132.750703 134.146382 \nL 134.067183 137.671826 \nL 135.006801 140.917104 \nL 135.652636 143.907263 \nL 136.069896 146.669048 \nL 136.371634 150.439637 \nL 136.379827 153.832449 \nL 136.155309 156.913172 \nL 135.719542 159.735843 \nL 135.062499 162.345077 \nL 134.146178 164.778219 \nL 133.359728 166.318228 \nL 132.401768 167.801863 \nL 131.237627 169.235395 \nL 129.824203 170.622848 \nL 128.108545 171.964718 \nL 126.026297 173.255855 \nL 123.500222 174.482037 \nL 120.439215 175.61459 \nL 116.738694 176.60215 \nL 112.283883 177.358406 \nL 109.736983 177.609086 \nL 106.958762 177.744614 \nL 103.937638 177.735637 \nL 100.665213 177.546371 \nL 97.137923 177.133752 \nL 93.359166 176.446766 \nL 89.34196 175.42613 \nL 85.112116 174.004626 \nL 80.711867 172.108455 \nL 76.203729 169.660134 \nL 71.674158 166.583402 \nL 67.236313 162.8107 \nL 63.03094 158.293393 \nL 59.224122 153.014509 \nL 56.000638 147.002789 \nL 53.552029 140.345801 \nL 52.059399 133.198701 \nL 51.672478 125.784736 \nL 52.488166 118.384189 \nL 54.533175 111.310798 \nL 57.755349 104.878196 \nL 62.026704 99.362553 \nL 67.158174 94.969657 \nL 72.922822 91.813939 \nL 79.082118 89.913424 \nL 85.409802 89.199941 \nL 91.709353 89.540214 \nL 97.823608 90.761556 \nL 103.63717 92.676479 \nL 109.073565 95.102469 \nL 114.089389 97.875286 \nL 118.667366 100.856086 \nL 122.809611 103.933555 \nL 126.531808 107.022633 \nL 129.858539 110.061364 \nL 132.819734 113.00688 \nL 135.448086 115.83139 \nL 139.840517 121.060143 \nL 143.296801 125.701933 \nL 146.053676 129.777596 \nL 152.862558 140.267501 \nL 154.564437 142.357362 \nL 156.343971 144.08966 \nL 158.277482 145.469686 \nL 160.431277 146.490172 \nL 161.609263 146.859854 \nL 162.863539 147.131181 \nL 164.200142 147.299689 \nL 165.624509 147.360152 \nL 167.14136 147.306626 \nL 168.754533 147.132512 \nL 170.466766 146.830661 \nL 172.279418 146.393529 \nL 174.192133 145.813374 \nL 176.202442 145.082552 \nL 178.305298 144.193887 \nL 180.492561 143.141152 \nL 182.752438 141.919687 \nL 185.068909 140.527111 \nL 187.42118 138.964182 \nL 189.783189 137.235768 \nL 192.123282 135.351843 \nL 194.404101 133.32852 \nL 196.582801 131.188939 \nL 198.611704 128.963918 \nL 200.439454 126.692185 \nL 202.012782 124.420024 \nL 203.278831 122.200163 \nL 204.188013 120.089821 \nL 204.697196 118.147902 \nL 204.772984 116.431461 \nL 204.394713 114.99177 \nL 203.556776 113.870416 \nL 202.269934 113.095918 \nL 200.561343 112.681423 \nL 198.473213 112.623831 \nL 196.060219 112.904571 \nL 193.385974 113.491807 \nL 190.518987 114.343839 \nL 187.528606 115.41309 \nL 184.481369 116.650148 \nL 178.451734 119.441496 \nL 172.817146 122.400407 \nL 167.822095 125.317482 \nL 163.583131 128.086549 \nL 160.122044 130.674933 \nL 157.401003 133.09024 \nL 155.351376 135.354936 \nL 153.894089 137.491097 \nL 152.952523 139.513397 \nL 152.459831 141.427216 \nL 152.362498 143.229296 \nL 152.621589 144.909199 \nL 153.212643 146.450629 \nL 154.124878 147.832211 \nL 155.360069 149.027579 \nL 156.93123 150.004824 \nL 158.861062 150.725397 \nL 161.179968 151.142609 \nL 163.923199 151.200036 \nL 167.126517 150.830206 \nL 170.819476 149.954414 \nL 172.854687 149.299579 \nL 175.015205 148.484931 \nL 177.297662 147.499177 \nL 179.695498 146.331667 \nL 182.198196 144.97305 \nL 184.790454 143.416128 \nL 187.451321 141.656898 \nL 190.153371 139.695806 \nL 192.861979 137.539164 \nL 195.534828 135.200681 \nL 198.121793 132.702952 \nL 200.565333 130.078758 \nL 202.801594 127.371926 \nL 204.762365 124.637439 \nL 206.377928 121.940523 \nL 207.580819 119.354472 \nL 208.310308 116.957055 \nL 208.517214 114.825636 \nL 208.168551 113.031391 \nL 207.251398 111.633223 \nL 205.775288 110.672335 \nL 203.772688 110.168252 \nL 201.297339 110.117145 \nL 198.420552 110.492706 \nL 195.226003 111.249573 \nL 191.803714 112.328552 \nL 188.244046 113.662884 \nL 184.632425 115.184446 \nL 177.547505 118.540299 \nL 171.015386 121.988743 \nL 165.304745 125.287008 \nL 160.518378 128.336186 \nL 156.645166 131.130062 \nL 153.608765 133.70603 \nL 151.303907 136.111721 \nL 149.619853 138.387596 \nL 148.453848 140.560848 \nL 147.717821 142.645447 \nL 147.340897 144.644721 \nL 147.269545 146.554425 \nL 147.466552 148.365269 \nL 147.909549 150.06458 \nL 148.589526 151.637107 \nL 149.509556 153.065064 \nL 150.683821 154.327507 \nL 152.136924 155.399184 \nL 153.903375 156.248852 \nL 156.027076 156.837102 \nL 158.560431 157.113742 \nL 161.56257 157.014807 \nL 165.095824 156.459576 \nL 167.080457 155.980454 \nL 169.219203 155.348332 \nL 171.517065 154.547783 \nL 173.977056 153.562454 \nL 176.599417 152.375417 \nL 179.380672 150.969717 \nL 182.312511 149.329159 \nL 185.380509 147.439424 \nL 188.562713 145.289527 \nL 191.828169 142.873675 \nL 195.135481 140.193533 \nL 198.431617 137.260799 \nL 201.651164 134.099956 \nL 204.716333 130.750922 \nL 207.538099 127.271139 \nL 210.018768 123.736583 \nL 212.056249 120.241013 \nL 213.55007 116.89286 \nL 214.408919 113.809397 \nL 214.55905 111.108222 \nL 213.952536 108.896729 \nL 212.57404 107.260974 \nL 210.444773 106.255773 \nL 207.622647 105.898071 \nL 204.198236 106.165067 \nL 200.287082 106.997683 \nL 196.019572 108.308706 \nL 191.530052 109.993903 \nL 186.946878 111.943966 \nL 182.384649 114.055117 \nL 173.685667 118.417197 \nL 165.952101 122.578858 \nL 159.407877 126.319605 \nL 154.067522 129.616026 \nL 149.825532 132.54239 \nL 146.522997 135.199039 \nL 143.988866 137.674772 \nL 142.062072 140.033681 \nL 140.601478 142.31524 \nL 139.48877 144.539689 \nL 138.62759 146.714412 \nL 137.64329 149.882181 \nL 134.768791 160.354085 \nL 133.708554 162.881648 \nL 132.842127 164.49473 \nL 131.809519 166.054057 \nL 130.571678 167.562222 \nL 129.082378 169.020034 \nL 127.286539 170.42488 \nL 125.118591 171.768221 \nL 122.5011 173.031784 \nL 119.344151 174.181784 \nL 115.546387 175.160295 \nL 113.373372 175.557553 \nL 110.999413 175.872724 \nL 108.411589 176.085408 \nL 105.598401 176.170471 \nL 102.550794 176.097263 \nL 99.263495 175.828857 \nL 95.736744 175.321369 \nL 91.978471 174.523543 \nL 88.006931 173.37677 \nL 83.853785 171.815867 \nL 79.567463 169.770969 \nL 75.216578 167.171001 \nL 70.892876 163.949157 \nL 66.71296 160.050727 \nL 62.817915 155.443283 \nL 59.36964 150.128668 \nL 56.542932 144.155351 \nL 54.512837 137.628786 \nL 53.437775 130.71657 \nL 53.44034 123.645138 \nL 54.589062 116.685821 \nL 56.885244 110.130388 \nL 60.258492 104.259531 \nL 64.572737 99.310244 \nL 69.641939 95.44932 \nL 75.251892 92.758581 \nL 81.183431 91.23417 \nL 87.2325 90.798431 \nL 93.224219 91.319922 \nL 99.020088 92.636327 \nL 104.519218 94.575559 \nL 109.6553 96.972289 \nL 114.39123 99.678836 \nL 118.71296 102.570736 \nL 122.623608 105.548244 \nL 126.138353 108.534984 \nL 129.280346 111.475067 \nL 132.077574 114.329569 \nL 134.560559 117.072988 \nL 138.709197 122.172938 \nL 141.970366 126.730011 \nL 144.566061 130.760524 \nL 151.703245 142.460933 \nL 153.300366 144.46298 \nL 155.005225 146.136098 \nL 156.887867 147.48083 \nL 159.011598 148.485646 \nL 160.182262 148.853548 \nL 161.434691 149.126402 \nL 162.775401 149.299122 \nL 164.210507 149.365793 \nL 165.745595 149.319677 \nL 167.385557 149.153236 \nL 169.134374 148.858218 \nL 170.994821 148.425752 \nL 172.968116 147.846543 \nL 175.05349 147.111108 \nL 177.24767 146.210133 \nL 179.544297 145.134945 \nL 181.933258 143.878125 \nL 184.399995 142.434286 \nL 186.924769 140.801008 \nL 189.481986 138.979944 \nL 192.039621 136.978038 \nL 194.558845 134.80883 \nL 196.994 132.493711 \nL 199.293006 130.062969 \nL 201.398397 127.556472 \nL 203.249032 125.023691 \nL 204.782592 122.522881 \nL 205.938813 120.119187 \nL 206.663292 117.881627 \nL 206.911585 115.879001 \nL 206.653183 114.175048 \nL 205.874826 112.823362 \nL 204.582682 111.86275 \nL 202.802938 111.313743 \nL 200.580636 111.176906 \nL 197.976799 111.433235 \nL 195.064211 112.046622 \nL 191.922425 112.967991 \nL 188.632595 114.140361 \nL 185.272813 115.504085 \nL 178.618983 118.580828 \nL 172.41026 121.8181 \nL 166.923068 124.972552 \nL 162.280893 127.929638 \nL 158.496715 130.663912 \nL 155.516338 133.196385 \nL 153.252621 135.563134 \nL 151.608783 137.797461 \nL 150.492522 139.922426 \nL 149.823599 141.949533 \nL 149.537203 143.88031 \nL 149.584808 145.708608 \nL 149.933691 147.422673 \nL 150.565855 149.006484 \nL 151.47678 150.440301 \nL 152.674246 151.700435 \nL 154.177257 152.758402 \nL 156.015015 153.57945 \nL 158.225723 154.120638 \nL 160.854835 154.328558 \nL 163.952159 154.136965 \nL 167.566917 153.464842 \nL 169.581623 152.919053 \nL 171.739513 152.215933 \nL 174.042104 151.341529 \nL 176.488365 150.281608 \nL 179.073915 149.022152 \nL 181.790095 147.550058 \nL 184.622921 145.854085 \nL 187.551947 143.92608 \nL 190.549115 141.762494 \nL 193.577655 139.366176 \nL 196.591201 136.748418 \nL 199.533286 133.931068 \nL 202.337448 130.948521 \nL 204.928214 127.849285 \nL 207.22317 124.696669 \nL 209.136321 121.568197 \nL 210.582752 118.553251 \nL 211.484463 115.74874 \nL 211.776859 113.252757 \nL 211.415246 111.156702 \nL 210.380363 109.536785 \nL 208.681988 108.446173 \nL 206.359833 107.909199 \nL 203.481337 107.91886 \nL 200.136562 108.438127 \nL 196.430904 109.404963 \nL 192.476755 110.740001 \nL 188.385353 112.355476 \nL 184.259862 114.163876 \nL 176.250903 118.050939 \nL 168.974444 121.918236 \nL 162.70218 125.508914 \nL 157.508039 128.746811 \nL 153.340256 131.660533 \nL 150.082077 134.319479 \nL 147.593213 136.794957 \nL 145.734432 139.142823 \nL 144.380269 141.39954 \nL 143.424318 143.584662 \nL 142.780264 145.705477 \nL 142.380688 147.761507 \nL 142.174863 149.748034 \nL 142.1529 152.583003 \nL 142.41256 155.223458 \nL 142.925339 157.647504 \nL 143.410728 159.132874 \nL 144.022476 160.505831 \nL 144.777512 161.758256 \nL 145.699253 162.879864 \nL 146.818137 163.857089 \nL 148.172438 164.671663 \nL 149.809274 165.29878 \nL 151.785705 165.704695 \nL 154.169706 165.843594 \nL 157.040615 165.653595 \nL 160.488344 165.051814 \nL 164.6101 163.928795 \nL 169.502551 162.143245 \nL 172.264235 160.948413 \nL 175.24621 159.519503 \nL 178.451448 157.830017 \nL 181.877481 155.852779 \nL 185.514496 153.561216 \nL 189.343054 150.931248 \nL 193.331512 147.943912 \nL 197.43326 144.588832 \nL 201.584011 140.868552 \nL 205.699503 136.803615 \nL 209.674188 132.438005 \nL 213.381587 127.84426 \nL 216.677122 123.127141 \nL 219.404176 118.424496 \nL 221.403843 113.903622 \nL 222.528221 109.751944 \nL 222.656143 106.161508 \nL 221.709291 103.308455 \nL 219.665619 101.330431 \nL 216.566973 100.306493 \nL 212.518443 100.244448 \nL 207.678752 101.079318 \nL 202.243325 102.683794 \nL 196.423411 104.888222 \nL 190.425472 107.505158 \nL 184.43443 110.35284 \nL 173.046418 116.142737 \nL 154.711417 125.869156 \nL 145.201085 131.122682 \nL 140.529445 133.952133 \nL 136.88528 136.460581 \nL 134.019767 138.781373 \nL 131.715733 140.997431 \nL 129.790609 143.152054 \nL 126.501339 147.324311 \nL 124.088925 150.306195 \nL 122.342855 152.192451 \nL 120.402341 153.970117 \nL 118.202652 155.609619 \nL 115.683743 157.073231 \nL 112.790374 158.31132 \nL 111.187854 158.825873 \nL 109.474535 159.257581 \nL 107.64646 159.594648 \nL 105.701038 159.82355 \nL 103.637469 159.928887 \nL 101.45725 159.893306 \nL 99.164783 159.69748 \nL 96.768063 159.320231 \nL 94.279451 158.738804 \nL 91.716487 157.929369 \nL 89.10271 156.867834 \nL 86.468398 155.530989 \nL 83.851137 153.898066 \nL 81.296074 151.952713 \nL 78.855707 149.68538 \nL 76.589042 147.095973 \nL 74.559962 144.196599 \nL 72.834719 141.014075 \nL 71.478545 137.591791 \nL 70.551531 133.990451 \nL 70.104096 130.287247 \nL 70.172536 126.573164 \nL 70.775228 122.948375 \nL 71.910096 119.516026 \nL 73.553827 116.375048 \nL 75.663025 113.612983 \nL 78.177237 111.299704 \nL 81.023408 109.48307 \nL 84.121144 108.186875 \nL 87.388088 107.411325 \nL 90.744733 107.135633 \nL 94.118266 107.322178 \nL 97.445188 107.921371 \nL 100.672735 108.876648 \nL 103.75924 110.128943 \nL 106.673689 111.620301 \nL 109.394726 113.296537 \nL 111.909365 115.108949 \nL 114.211577 117.015172 \nL 116.300905 118.979411 \nL 118.181185 120.972204 \nL 119.859416 122.969913 \nL 121.344808 124.954027 \nL 122.647977 126.910443 \nL 123.780312 128.828733 \nL 125.578973 132.523699 \nL 126.830802 136.0057 \nL 127.616141 139.265854 \nL 128.001444 142.309213 \nL 128.037698 145.147914 \nL 127.760372 147.796782 \nL 127.190134 150.270505 \nL 126.333869 152.581686 \nL 125.185716 154.739317 \nL 123.728033 156.74729 \nL 121.932301 158.602592 \nL 119.76017 160.292914 \nL 117.164978 161.793289 \nL 114.094348 163.061456 \nL 112.363882 163.589042 \nL 110.494778 164.031693 \nL 108.481466 164.37626 \nL 106.319568 164.607101 \nL 104.00646 164.70582 \nL 101.541973 164.651034 \nL 98.929237 164.418243 \nL 96.175687 163.979815 \nL 93.294214 163.305208 \nL 90.304436 162.361489 \nL 87.234036 161.114305 \nL 84.120059 159.529375 \nL 81.010006 157.574673 \nL 77.96253 155.223347 \nL 75.047425 152.45737 \nL 72.344625 149.271823 \nL 69.941904 145.679442 \nL 67.931076 141.714906 \nL 66.402615 137.438096 \nL 65.439026 132.935428 \nL 65.107491 128.318383 \nL 65.452771 123.718683 \nL 66.491471 119.280109 \nL 68.208776 115.147645 \nL 70.558435 111.455403 \nL 73.466154 108.315214 \nL 76.835927 105.807704 \nL 80.55828 103.977303 \nL 84.51904 102.831695 \nL 88.607433 102.34534 \nL 92.722482 102.465982 \nL 96.777318 103.122712 \nL 100.701337 104.23424 \nL 104.440542 105.716235 \nL 107.95655 107.487133 \nL 111.224774 109.472145 \nL 114.232212 111.60566 \nL 116.975163 113.832191 \nL 119.457091 116.106352 \nL 121.686743 118.392139 \nL 123.676556 120.661853 \nL 125.441371 122.894856 \nL 126.997409 125.076353 \nL 129.550389 129.248058 \nL 131.467429 133.135393 \nL 132.86928 136.732186 \nL 133.85977 140.051325 \nL 134.524084 143.114805 \nL 134.929308 145.947942 \nL 135.126111 148.576195 \nL 135.150846 151.023558 \nL 134.91519 154.40246 \nL 134.383241 157.486367 \nL 133.863635 159.404609 \nL 133.200831 161.22804 \nL 132.377135 162.967659 \nL 131.367492 164.632472 \nL 130.138939 166.229122 \nL 128.64976 167.761127 \nL 126.848417 169.227488 \nL 124.672416 170.620389 \nL 122.047375 171.921552 \nL 118.886837 173.096612 \nL 115.093754 174.086717 \nL 112.92788 174.484427 \nL 110.565378 174.796388 \nL 107.994318 175.002219 \nL 105.204326 175.076932 \nL 102.187605 174.990214 \nL 98.940257 174.705743 \nL 95.463979 174.180608 \nL 91.768167 173.365017 \nL 87.872445 172.202439 \nL 83.809571 170.630511 \nL 79.628579 168.583042 \nL 75.397875 165.993511 \nL 71.207817 162.800453 \nL 67.172072 158.955017 \nL 63.426882 154.430597 \nL 60.127208 149.23397 \nL 57.438937 143.416538 \nL 55.526776 137.083436 \nL 54.538427 130.397622 \nL 54.586854 123.576066 \nL 55.733713 116.876201 \nL 57.977573 110.573005 \nL 61.250201 104.929909 \nL 65.422356 100.168954 \nL 70.318326 96.446695 \nL 75.735976 93.840719 \nL 81.468099 92.348978 \nL 87.320966 91.900482 \nL 93.12751 92.373513 \nL 98.754304 93.616581 \nL 104.103026 95.467969 \nL 109.107949 97.771217 \nL 113.731176 100.38551 \nL 117.957018 103.191227 \nL 121.786522 106.091639 \nL 125.232674 109.011935 \nL 128.316487 111.896731 \nL 131.063965 114.706886 \nL 133.50385 117.41625 \nL 137.580159 122.475356 \nL 140.77927 127.021701 \nL 143.315499 131.065117 \nL 146.276918 136.268485 \nL 149.410407 141.816311 \nL 150.880134 144.07095 \nL 152.402375 146.008215 \nL 154.05025 147.636831 \nL 155.889582 148.954485 \nL 157.981651 149.947186 \nL 159.140794 150.313909 \nL 160.384804 150.588431 \nL 161.720538 150.76533 \nL 163.154589 150.838301 \nL 164.693163 150.800145 \nL 166.341926 150.642773 \nL 168.10578 150.357255 \nL 169.988574 149.933905 \nL 171.992754 149.362409 \nL 174.11891 148.632057 \nL 176.365244 147.732063 \nL 178.726947 146.652003 \nL 181.195478 145.382429 \nL 183.75777 143.915638 \nL 186.395403 142.246655 \nL 189.083762 140.374407 \nL 191.791281 138.303087 \nL 194.478865 136.043634 \nL 197.09962 133.615255 \nL 199.599046 131.046823 \nL 201.915861 128.377904 \nL 203.983608 125.6592 \nL 205.733167 122.952035 \nL 207.096157 120.326706 \nL 208.00915 117.859424 \nL 208.418381 115.627956 \nL 208.284491 113.706139 \nL 207.586738 112.157881 \nL 206.325984 111.03143 \nL 204.525942 110.354763 \nL 202.232331 110.133018 \nL 199.509941 110.348376 \nL 196.437966 110.962527 \nL 193.104247 111.921267 \nL 189.599208 113.160447 \nL 186.010281 114.61221 \nL 178.889707 117.896595 \nL 172.24461 121.340874 \nL 166.379692 124.67152 \nL 161.426034 127.765525 \nL 157.391041 130.602455 \nL 154.208526 133.213785 \nL 151.777408 135.646376 \nL 149.987402 137.9424 \nL 148.734117 140.131454 \nL 147.926844 142.229694 \nL 147.491736 144.242131 \nL 147.372329 146.165644 \nL 147.5287 147.991623 \nL 147.936052 149.707792 \nL 148.583232 151.299158 \nL 149.471408 152.748161 \nL 150.613044 154.034176 \nL 152.031154 155.132419 \nL 153.75875 156.01234 \nL 155.838308 156.635531 \nL 158.32091 156.953168 \nL 161.264567 156.903086 \nL 164.730916 156.406797 \nL 166.678928 155.96173 \nL 168.779083 155.36717 \nL 171.036634 154.608017 \nL 173.454986 153.668216 \nL 176.034958 152.531057 \nL 178.773882 151.179689 \nL 181.664527 149.597847 \nL 184.693864 147.770877 \nL 187.841696 145.687116 \nL 191.0792 143.339651 \nL 194.367491 140.72847 \nL 197.656376 137.862953 \nL 200.883497 134.764584 \nL 203.974182 131.469601 \nL 206.842291 128.03122 \nL 209.392455 124.520898 \nL 211.523918 121.028006 \nL 213.136148 117.657293 \nL 214.13598 114.523708 \nL 214.445829 111.74452 \nL 214.011973 109.429284 \nL 212.811655 107.668816 \nL 210.857735 106.52501 \nL 208.199693 106.023416 \nL 204.920573 106.150253 \nL 201.130116 106.854685 \nL 196.955153 108.055894 \nL 192.528887 109.653579 \nL 187.980745 111.539723 \nL 183.428098 113.609501 \nL 174.687963 117.944502 \nL 166.861767 122.127214 \nL 160.203404 125.908695 \nL 154.748019 129.246937 \nL 150.401886 132.207534 \nL 147.01152 134.888786 \nL 144.407394 137.380754 \nL 142.42787 139.749873 \nL 140.930283 142.037863 \nL 139.794526 144.266675 \nL 138.922561 146.444796 \nL 137.94219 149.617045 \nL 136.728793 154.619656 \nL 135.542743 159.225748 \nL 134.666567 161.797612 \nL 133.561633 164.23559 \nL 132.649737 165.792566 \nL 131.557551 167.299062 \nL 130.243742 168.757594 \nL 128.658968 170.168394 \nL 126.744182 171.527534 \nL 124.429002 172.824023 \nL 121.630466 174.035394 \nL 118.252748 175.120962 \nL 114.189025 176.011803 \nL 111.864878 176.351498 \nL 109.327536 176.596331 \nL 106.564497 176.722463 \nL 103.565331 176.700655 \nL 100.32293 176.495461 \nL 96.835149 176.064466 \nL 93.106888 175.357723 \nL 89.152662 174.31757 \nL 84.999638 172.879096 \nL 80.691075 170.971647 \nL 76.289897 168.521797 \nL 71.882005 165.458275 \nL 67.578631 161.719271 \nL 63.516819 157.262252 \nL 59.856857 152.075992 \nL 56.775562 146.193578 \nL 54.454669 139.704232 \nL 53.064467 132.760807 \nL 52.744205 125.579394 \nL 53.582354 118.4282 \nL 55.600874 111.605064 \nL 58.747651 105.406073 \nL 62.89972 100.091058 \nL 67.877149 95.853457 \nL 73.464594 92.801161 \nL 79.435614 90.951913 \nL 85.574815 90.242743 \nL 91.694223 90.549258 \nL 97.642456 91.709347 \nL 103.307297 93.546043 \nL 108.613327 95.886066 \nL 113.516673 98.572489 \nL 117.998642 101.471703 \nL 122.059439 104.475752 \nL 125.712671 107.501409 \nL 128.980869 110.487403 \nL 131.892059 113.390781 \nL 134.477221 116.18317 \nL 138.797915 121.374318 \nL 142.194175 126.007886 \nL 144.895538 130.098249 \nL 152.286827 141.895602 \nL 153.928042 143.893594 \nL 155.674887 145.5532 \nL 157.598662 146.875304 \nL 159.763027 147.848487 \nL 160.953664 148.197207 \nL 162.225614 148.448643 \nL 163.58513 148.597749 \nL 165.037968 148.638671 \nL 166.589258 148.56477 \nL 168.243325 148.368681 \nL 170.003451 148.042406 \nL 171.871584 147.577442 \nL 173.847968 146.964987 \nL 175.930702 146.196233 \nL 178.115237 145.262742 \nL 180.393793 144.156955 \nL 182.754725 142.872844 \nL 185.181859 141.406693 \nL 187.653842 139.758046 \nL 190.143545 137.930795 \nL 192.617615 135.934335 \nL 195.036271 133.78477 \nL 197.353454 131.505991 \nL 199.517447 129.130518 \nL 201.472094 126.699884 \nL 203.158706 124.264348 \nL 204.518655 121.881756 \nL 205.496587 119.615385 \nL 206.044099 117.530757 \nL 206.123532 115.691584 \nL 205.711465 114.155177 \nL 204.801461 112.967853 \nL 203.405599 112.160952 \nL 201.554502 111.748164 \nL 199.295736 111.724539 \nL 196.690738 112.067477 \nL 193.81066 112.739474 \nL 190.731653 113.692225 \nL 187.53018 114.871344 \nL 184.278901 116.221113 \nL 177.880207 119.226449 \nL 171.94463 122.364009 \nL 166.719845 125.417083 \nL 162.313542 128.285099 \nL 158.733266 130.946342 \nL 155.926069 133.419555 \nL 153.809679 135.736138 \nL 152.293699 137.92447 \nL 151.292524 140.003395 \nL 150.732312 141.981105 \nL 150.55411 143.856508 \nL 150.714679 145.621243 \nL 151.186071 147.261407 \nL 151.954638 148.7586 \nL 153.019859 150.0902 \nL 154.393139 151.228932 \nL 156.096626 152.141808 \nL 158.161876 152.788534 \nL 160.628075 153.119564 \nL 163.539317 153.073985 \nL 166.94017 152.577757 \nL 168.836564 152.133729 \nL 170.868473 151.543114 \nL 173.037714 150.793136 \nL 175.343959 149.870687 \nL 177.784048 148.762726 \nL 180.351187 147.456848 \nL 183.034032 145.942054 \nL 185.815701 144.209772 \nL 188.67273 142.255108 \nL 191.574068 140.078377 \nL 194.480188 137.686835 \nL 197.342499 135.096552 \nL 200.1032 132.334254 \nL 202.695806 129.438906 \nL 205.046575 126.462694 \nL 207.07698 123.471062 \nL 208.707362 120.541363 \nL 209.861667 117.759883 \nL 210.473017 115.217069 \nL 210.489616 113.001171 \nL 209.880231 111.190907 \nL 208.638448 109.848025 \nL 206.7849 109.011043 \nL 204.366906 108.691257 \nL 201.455423 108.871864 \nL 198.139653 109.510435 \nL 194.520081 110.544322 \nL 190.700993 111.897997 \nL 186.783501 113.490943 \nL 182.859861 115.244919 \nL 175.297169 118.966474 \nL 168.468868 122.647687 \nL 162.60495 126.073584 \nL 157.761963 129.183656 \nL 153.887095 132.005038 \nL 150.871333 134.598052 \nL 148.585803 137.023539 \nL 146.903478 139.328414 \nL 145.710537 141.542517 \nL 144.911193 143.680869 \nL 144.42873 145.747655 \nL 144.204538 147.740104 \nL 144.196267 149.651439 \nL 144.375765 151.472827 \nL 144.727152 153.194447 \nL 145.24526 154.805789 \nL 145.934474 156.295465 \nL 146.80803 157.650582 \nL 147.887713 158.85577 \nL 149.203913 159.891865 \nL 150.795951 160.734188 \nL 152.71253 161.350382 \nL 155.012087 161.697659 \nL 157.762654 161.719411 \nL 161.04058 161.341229 \nL 164.927054 160.466623 \nL 167.123488 159.806026 \nL 169.500705 158.973359 \nL 172.065876 157.949151 \nL 174.823774 156.712521 \nL 177.775742 155.241606 \nL 180.918424 153.514267 \nL 184.242226 151.509153 \nL 187.729531 149.207235 \nL 191.352711 146.593878 \nL 195.07201 143.661517 \nL 198.833515 140.412952 \nL 202.567441 136.865168 \nL 206.187165 133.053364 \nL 209.589472 129.034758 \nL 212.656579 124.891415 \nL 215.260441 120.731114 \nL 217.269736 116.685194 \nL 218.559433 112.902479 \nL 219.022349 109.538822 \nL 218.581396 106.742782 \nL 217.200561 104.639203 \nL 214.892409 103.313347 \nL 211.720194 102.799112 \nL 207.793595 103.07414 \nL 203.258465 104.063349 \nL 198.282433 105.650215 \nL 193.03904 107.693293 \nL 187.693179 110.044224 \nL 182.389967 112.563702 \nL 172.356894 117.660132 \nL 159.685892 124.472612 \nL 153.048324 128.222982 \nL 147.753244 131.4259 \nL 143.602361 134.231004 \nL 140.375061 136.776889 \nL 137.86134 139.166261 \nL 135.8759 141.464186 \nL 134.261914 143.705654 \nL 132.259897 146.989728 \nL 128.603131 153.243951 \nL 127.222812 155.204459 \nL 125.660851 157.084561 \nL 123.85963 158.870104 \nL 121.760049 160.54223 \nL 119.300187 162.074199 \nL 116.415212 163.426926 \nL 113.039182 164.543021 \nL 111.147189 164.987533 \nL 109.10977 165.339095 \nL 106.921211 165.581702 \nL 104.577525 165.696524 \nL 102.077149 165.661632 \nL 99.421789 165.451795 \nL 96.617452 165.038393 \nL 93.675636 164.389569 \nL 90.614687 163.470665 \nL 87.461228 162.245108 \nL 84.25161 160.675857 \nL 81.033188 158.727581 \nL 77.865213 156.369604 \nL 74.819065 153.579756 \nL 71.977431 150.348902 \nL 69.432149 146.685924 \nL 67.280383 142.622577 \nL 65.619098 138.217371 \nL 64.537987 133.557511 \nL 64.111503 128.757896 \nL 64.390955 123.95643 \nL 65.397947 119.305525 \nL 67.120417 114.960483 \nL 69.512193 111.066289 \nL 72.49637 107.744864 \nL 75.972041 105.084951 \nL 79.823217 103.13627 \nL 83.928478 101.908634 \nL 88.169869 101.375603 \nL 92.439966 101.481597 \nL 96.646605 102.150747 \nL 100.715217 103.295999 \nL 104.589144 104.827156 \nL 108.228507 106.657239 \nL 111.608158 108.706822 \nL 114.715246 110.906559 \nL 117.546715 113.198141 \nL 120.106994 115.534194 \nL 122.405977 117.877422 \nL 124.457334 120.199385 \nL 126.27715 122.479127 \nL 127.882863 124.701816 \nL 130.523774 128.940055 \nL 132.520399 132.874989 \nL 134.000717 136.503413 \nL 135.074783 139.840966 \nL 135.833278 142.911882 \nL 136.348367 145.743169 \nL 136.782401 149.598601 \nL 136.921425 153.055659 \nL 136.842126 156.182716 \nL 136.581165 159.035785 \nL 136.144833 161.660783 \nL 135.514435 164.096119 \nL 134.64788 166.374834 \nL 133.906926 167.821387 \nL 133.004661 169.218775 \nL 131.907132 170.573396 \nL 130.572234 171.889906 \nL 128.948203 173.170097 \nL 126.971895 174.411013 \nL 124.567063 175.601864 \nL 121.64294 176.719138 \nL 118.093857 177.718973 \nL 113.801269 178.525628 \nL 111.337126 178.8201 \nL 108.640635 179.014594 \nL 105.69789 179.082109 \nL 102.497403 178.989349 \nL 99.031603 178.695745 \nL 95.298796 178.152563 \nL 91.305677 177.302237 \nL 87.070436 176.078212 \nL 82.626428 174.405639 \nL 78.026292 172.203389 \nL 73.346183 169.387992 \nL 68.689518 165.880081 \nL 64.189345 161.613839 \nL 60.008048 156.549524 \nL 56.332962 150.688377 \nL 53.366556 144.088088 \nL 51.310546 136.875635 \nL 50.344673 129.253199 \nL 50.602829 121.492895 \nL 52.15105 113.917514 \nL 54.972823 106.868199 \nL 58.966232 100.664023 \nL 63.954713 95.562287 \nL 69.709245 91.728688 \nL 75.976688 89.224059 \nL 82.507807 88.009179 \nL 89.079585 87.964102 \nL 95.509002 88.915445 \nL 101.658268 90.66467 \nL 107.433305 93.012105 \nL 112.778063 95.774117 \nL 117.666993 98.793053 \nL 122.097444 101.941074 \nL 126.082912 105.119683 \nL 129.647568 108.256636 \nL 132.822084 111.301653 \nL 135.640588 114.221897 \nL 140.351249 119.619459 \nL 144.056357 124.392273 \nL 147.008071 128.560773 \nL 154.250141 139.133871 \nL 156.040193 141.194027 \nL 157.901502 142.877227 \nL 159.912231 144.189959 \nL 160.994687 144.705907 \nL 162.138441 145.125857 \nL 163.35013 145.447053 \nL 164.635749 145.66599 \nL 166.000588 145.778444 \nL 167.449144 145.779531 \nL 168.98498 145.663773 \nL 170.610545 145.425217 \nL 172.32694 145.057564 \nL 174.13363 144.554387 \nL 176.028109 143.909377 \nL 178.005512 143.116688 \nL 180.058175 142.171373 \nL 182.175185 141.069892 \nL 184.341895 139.81075 \nL 186.539486 138.395207 \nL 188.744583 136.828083 \nL 190.928995 135.118605 \nL 193.059647 133.281225 \nL 195.098791 131.336352 \nL 197.004549 129.310886 \nL 198.731892 127.238395 \nL 200.234077 125.158854 \nL 201.464559 123.117754 \nL 202.379318 121.164584 \nL 202.939492 119.350599 \nL 203.114086 117.726018 \nL 202.882516 116.336854 \nL 202.236661 115.22168 \nL 201.182169 114.408761 \nL 199.738748 113.91391 \nL 197.939398 113.739424 \nL 195.828561 113.874302 \nL 193.459455 114.295617 \nL 190.890858 114.970988 \nL 188.183716 115.861666 \nL 185.397948 116.925804 \nL 179.809483 119.409728 \nL 174.498104 122.129666 \nL 169.717199 124.875739 \nL 165.604842 127.527234 \nL 162.208027 130.032983 \nL 159.512344 132.384307 \nL 157.468421 134.591787 \nL 156.01185 136.669884 \nL 155.076591 138.628771 \nL 154.603112 140.47119 \nL 154.542773 142.192062 \nL 154.859738 143.779248 \nL 155.53134 145.214441 \nL 156.547548 146.473722 \nL 157.909865 147.527569 \nL 159.629803 148.340356 \nL 161.726842 148.86946 \nL 164.225632 149.06421 \nL 167.151939 148.865078 \nL 170.526692 148.203768 \nL 174.35728 147.005249 \nL 176.439165 146.180513 \nL 178.625209 145.193315 \nL 180.906353 144.035774 \nL 183.26965 142.701749 \nL 185.69758 141.187645 \nL 188.167396 139.493389 \nL 190.650528 137.623513 \nL 193.112178 135.588331 \nL 195.511151 133.405117 \nL 197.800079 131.099151 \nL 199.926149 128.704492 \nL 201.832438 126.264232 \nL 203.45994 123.830078 \nL 204.750286 121.46101 \nL 205.649067 119.220938 \nL 206.109557 117.175327 \nL 206.09647 115.386995 \nL 205.589373 113.911494 \nL 204.585215 112.79255 \nL 203.099602 112.058299 \nL 201.166519 111.718907 \nL 198.836415 111.765935 \nL 196.172914 112.173666 \nL 193.248491 112.902193 \nL 190.139708 113.901648 \nL 186.922623 115.117024 \nL 180.442225 117.976854 \nL 174.278721 121.094235 \nL 168.744576 124.199486 \nL 163.999942 127.148622 \nL 160.087862 129.892899 \nL 156.975556 132.438729 \nL 154.589504 134.814925 \nL 152.840598 137.052315 \nL 151.640138 139.173983 \nL 150.908936 141.19236 \nL 150.581787 143.109884 \nL 150.609062 144.920908 \nL 150.956703 146.613607 \nL 151.605392 148.171323 \nL 152.549424 149.57316 \nL 153.795505 150.793836 \nL 155.361572 151.802838 \nL 157.275543 152.563069 \nL 159.573772 153.028988 \nL 162.298786 153.144547 \nL 165.495651 152.841198 \nL 169.206054 152.036685 \nL 171.263694 151.41716 \nL 173.458799 150.635825 \nL 175.79057 149.679548 \nL 178.255231 148.535352 \nL 180.845209 147.191029 \nL 183.548202 145.63595 \nL 186.346175 143.862125 \nL 189.214314 141.865506 \nL 192.120041 139.647572 \nL 195.022161 137.217079 \nL 197.870348 134.591966 \nL 200.605106 131.801139 \nL 203.158442 128.885992 \nL 205.455488 125.901238 \nL 207.417177 122.914699 \nL 208.964124 120.005702 \nL 210.02154 117.261738 \nL 210.524916 114.773385 \nL 210.425904 112.627692 \nL 209.697644 110.900756 \nL 208.338697 109.650412 \nL 206.374801 108.910302 \nL 203.858028 108.686411 \nL 200.863242 108.956849 \nL 197.482326 109.674892 \nL 193.817063 110.774886 \nL 189.971662 112.179748 \nL 186.045971 113.80885 \nL 178.300865 117.440082 \nL 171.133957 121.174741 \nL 164.862639 124.719121 \nL 159.606105 127.957885 \nL 155.348643 130.890278 \nL 151.998713 133.568336 \nL 149.432131 136.055328 \nL 147.51924 138.404703 \nL 146.139959 140.653176 \nL 145.190871 142.821348 \nL 144.587534 144.917308 \nL 144.264163 146.940698 \nL 144.172042 148.886083 \nL 144.277483 150.745295 \nL 144.559822 152.508848 \nL 145.009688 154.166509 \nL 145.627682 155.707315 \nL 146.423484 157.119093 \nL 147.415395 158.387637 \nL 148.630261 159.495523 \nL 150.103696 160.420578 \nL 151.880508 161.133899 \nL 154.015126 161.597351 \nL 156.571728 161.760451 \nL 159.623531 161.556611 \nL 163.250382 160.898904 \nL 167.533228 159.675986 \nL 169.943738 158.810429 \nL 172.543294 157.749675 \nL 175.336145 156.472626 \nL 178.322898 154.957302 \nL 181.499204 153.181604 \nL 184.85418 151.124466 \nL 188.368571 148.767461 \nL 192.012738 146.096992 \nL 195.744534 143.107081 \nL 199.507314 139.802768 \nL 203.228314 136.203992 \nL 206.817868 132.349624 \nL 210.169919 128.301171 \nL 213.164427 124.145314 \nL 215.672134 119.994338 \nL 217.562028 115.983325 \nL 218.711336 112.263285 \nL 219.017332 108.98997 \nL 218.409504 106.308982 \nL 216.860098 104.339213 \nL 214.390773 103.157482 \nL 211.073616 102.787742 \nL 207.025715 103.197686 \nL 202.398008 104.303757 \nL 197.360405 105.98362 \nL 192.085947 108.093218 \nL 186.736731 110.484681 \nL 176.349834 115.589855 \nL 166.991347 120.49999 \nL 155.596319 126.757913 \nL 149.770466 130.168647 \nL 145.175867 133.118709 \nL 141.595556 135.756242 \nL 138.812573 138.199863 \nL 136.630537 140.529501 \nL 134.880861 142.791348 \nL 133.422992 145.007122 \nL 130.94053 149.315846 \nL 129.120225 152.418455 \nL 127.796683 154.408354 \nL 126.315027 156.322773 \nL 124.617626 158.148776 \nL 122.646185 159.869716 \nL 120.340019 161.462494 \nL 117.635398 162.893643 \nL 114.466479 164.114012 \nL 112.687515 164.623822 \nL 110.768688 165.051782 \nL 108.703295 165.383947 \nL 106.485914 165.603801 \nL 104.112966 165.691956 \nL 101.583444 165.625873 \nL 98.899793 165.379688 \nL 96.068973 164.924163 \nL 93.103676 164.226881 \nL 90.023705 163.252756 \nL 86.857422 161.965021 \nL 83.643165 160.326797 \nL 80.430479 158.303405 \nL 77.2809 155.865505 \nL 74.26802 152.993059 \nL 71.476427 149.679978 \nL 68.999265 145.93915 \nL 66.93408 141.80714 \nL 65.376969 137.347803 \nL 64.415303 132.653738 \nL 64.119672 127.844612 \nL 64.536164 123.061749 \nL 65.6802 118.45897 \nL 67.533178 114.190558 \nL 70.042767 110.397949 \nL 73.126978 107.19736 \nL 76.681388 104.670412 \nL 80.588331 102.859186 \nL 84.726478 101.766225 \nL 88.979454 101.359002 \nL 93.242498 101.577452 \nL 97.426697 102.342966 \nL 101.460925 103.567395 \nL 105.291839 105.160797 \nL 108.882517 107.037388 \nL 112.210326 109.119545 \nL 115.264446 111.340006 \nL 118.043388 113.642592 \nL 120.55275 115.981922 \nL 122.803239 118.322486 \nL 124.809063 120.637365 \nL 126.586623 122.906856 \nL 128.153498 125.117141 \nL 130.726953 129.327098 \nL 132.668911 133.23244 \nL 134.105745 136.83231 \nL 135.145635 140.143481 \nL 135.877399 143.190626 \nL 136.371496 146.0008 \nL 136.781616 149.829207 \nL 136.902276 153.264117 \nL 136.807049 156.373083 \nL 136.530159 159.211424 \nL 136.075825 161.824547 \nL 135.42335 164.250495 \nL 134.528446 166.522032 \nL 133.763821 167.964893 \nL 132.832971 169.359312 \nL 131.700803 170.711473 \nL 130.323858 172.025674 \nL 128.648764 173.303099 \nL 126.610517 174.539782 \nL 124.130775 175.723292 \nL 121.116565 176.827478 \nL 117.460172 177.804344 \nL 113.041735 178.57177 \nL 110.507763 178.83771 \nL 107.73724 178.99574 \nL 104.716935 179.017019 \nL 101.43646 178.866124 \nL 97.889902 178.500076 \nL 94.077947 177.867515 \nL 90.010568 176.908162 \nL 85.710306 175.552887 \nL 81.216092 173.724767 \nL 76.587421 171.341635 \nL 71.90851 168.32073 \nL 67.291691 164.586038 \nL 62.879096 160.078667 \nL 58.841219 154.770217 \nL 55.37099 148.67804 \nL 52.672083 141.880242 \nL 50.941279 134.526779 \nL 50.34612 126.842282 \nL 51.001128 119.116611 \nL 52.947613 111.681327 \nL 56.142297 104.874223 \nL 60.458696 98.998293 \nL 65.701751 94.284274 \nL 71.632506 90.865619 \nL 77.996905 88.7709 \nL 84.552432 87.933657 \nL 91.087858 88.214848 \nL 97.434274 89.431024 \nL 103.467981 91.381624 \nL 109.107437 93.870978 \nL 114.306819 96.723142 \nL 119.048356 99.789794 \nL 123.334938 102.952552 \nL 127.183766 106.121542 \nL 130.621293 109.231814 \nL 133.679432 112.238948 \nL 136.392818 115.114587 \nL 140.926742 120.414966 \nL 144.496713 125.091845 \nL 148.574901 131.004757 \nL 152.654688 137.108869 \nL 154.453308 139.506308 \nL 156.245008 141.511819 \nL 158.120583 143.142891 \nL 160.15621 144.404065 \nL 161.254607 144.893843 \nL 162.416398 145.287053 \nL 163.648057 145.580701 \nL 164.955407 145.771062 \nL 166.343553 145.853692 \nL 167.816779 145.823508 \nL 169.378391 145.674855 \nL 171.030535 145.401621 \nL 172.773934 144.997408 \nL 174.607593 144.455739 \nL 176.528446 143.77033 \nL 178.530951 142.93547 \nL 180.606645 141.94646 \nL 182.74367 140.80017 \nL 184.926308 139.495703 \nL 187.134535 138.035126 \nL 189.343658 136.424302 \nL 191.524106 134.673738 \nL 193.641413 132.799407 \nL 195.65651 130.823435 \nL 197.526382 128.774572 \nL 199.205158 126.688265 \nL 200.645688 124.606242 \nL 201.801583 122.575471 \nL 202.629666 120.646422 \nL 203.092646 118.870676 \nL 203.161849 117.297954 \nL 202.819688 115.972884 \nL 202.061543 114.931783 \nL 200.896843 114.199941 \nL 199.349073 113.789682 \nL 197.454698 113.69967 \nL 195.261068 113.9154 \nL 192.823526 114.410952 \nL 190.202099 115.151671 \nL 187.458091 116.097358 \nL 181.835806 118.434802 \nL 176.369077 121.10726 \nL 171.357102 123.870647 \nL 166.978293 126.572607 \nL 163.309293 129.139762 \nL 160.35427 131.551325 \nL 158.073358 133.813475 \nL 156.405187 135.940912 \nL 155.282622 137.946232 \nL 154.642661 139.835243 \nL 154.432024 141.605824 \nL 154.609831 143.248428 \nL 155.148441 144.747038 \nL 156.033176 146.079878 \nL 157.261409 147.219648 \nL 158.841197 148.133212 \nL 160.78947 148.780801 \nL 163.129588 149.114979 \nL 165.887857 149.079652 \nL 169.088443 148.60967 \nL 172.745854 147.63189 \nL 176.854111 146.069098 \nL 179.066266 145.045076 \nL 181.371884 143.848661 \nL 183.757161 142.474067 \nL 186.203564 140.91824 \nL 188.687168 139.181865 \nL 191.178089 137.270483 \nL 193.640107 135.195697 \nL 196.030565 132.97633 \nL 198.300672 130.639467 \nL 200.396351 128.221132 \nL 202.259712 125.766453 \nL 203.831247 123.329058 \nL 205.052679 120.969538 \nL 205.870448 118.752873 \nL 206.239481 116.744836 \nL 206.126977 115.00763 \nL 205.515689 113.595166 \nL 204.406287 112.548585 \nL 202.818322 111.892681 \nL 200.789611 111.633792 \nL 198.374012 111.759631 \nL 195.637817 112.240972 \nL 192.65526 113.035075 \nL 189.5037 114.090141 \nL 186.259056 115.35023 \nL 179.764943 118.267468 \nL 173.631327 121.406831 \nL 168.154797 124.511037 \nL 163.481334 127.447725 \nL 159.643521 130.176259 \nL 156.601937 132.707437 \nL 154.279512 135.071681 \nL 152.585745 137.29983 \nL 151.431906 139.414256 \nL 150.739552 141.426531 \nL 150.444599 143.338335 \nL 150.498681 145.143458 \nL 150.868995 146.8297 \nL 151.537414 148.380158 \nL 152.499322 149.773765 \nL 153.762428 150.985079 \nL 155.345592 151.983392 \nL 157.277592 152.731327 \nL 159.595586 153.182941 \nL 162.342843 153.281614 \nL 165.565069 152.958039 \nL 169.304382 152.129012 \nL 171.377849 151.495284 \nL 173.589647 150.698262 \nL 175.938881 149.72468 \nL 178.421615 148.561454 \nL 181.030032 147.196302 \nL 183.751494 145.618575 \nL 186.567514 143.820351 \nL 189.452707 141.797766 \nL 192.373776 139.552622 \nL 195.288688 137.0942 \nL 198.146144 134.441147 \nL 200.885587 131.62333 \nL 203.437935 128.68332 \nL 205.727267 125.677187 \nL 207.673629 122.674228 \nL 209.197011 119.755228 \nL 210.222406 117.008962 \nL 210.685611 114.526925 \nL 210.539163 112.396544 \nL 209.757684 110.693594 \nL 208.341721 109.474859 \nL 206.319364 108.772255 \nL 203.745155 108.589543 \nL 200.696315 108.90233 \nL 197.26674 109.661502 \nL 193.559699 110.799321 \nL 189.680282 112.237173 \nL 185.728614 113.893545 \nL 177.954275 117.561572 \nL 170.782887 121.312793 \nL 164.523526 124.860341 \nL 159.287686 128.095542 \nL 155.053833 131.022354 \nL 151.726577 133.695414 \nL 149.179466 136.179025 \nL 147.281661 138.526795 \nL 145.912575 140.775215 \nL 144.968654 142.944587 \nL 144.365482 145.04277 \nL 144.037334 147.069311 \nL 143.935493 149.018808 \nL 144.026162 150.883276 \nL 144.288422 152.65353 \nL 144.712479 154.319769 \nL 145.298327 155.871592 \nL 146.054838 157.297568 \nL 146.999301 158.584438 \nL 148.157333 159.715997 \nL 149.563127 160.671652 \nL 151.259912 161.424531 \nL 153.300479 161.939118 \nL 155.747497 162.16826 \nL 158.673162 162.049503 \nL 162.157404 161.500848 \nL 166.283376 160.416403 \nL 168.611751 159.632774 \nL 171.128244 158.663125 \nL 173.838815 157.486653 \nL 176.74636 156.081336 \nL 179.849497 154.424543 \nL 183.141095 152.493973 \nL 186.60653 150.269041 \nL 190.22171 147.732789 \nL 193.950927 144.874408 \nL 197.7447 141.692412 \nL 201.53786 138.198393 \nL 205.248213 134.421154 \nL 208.776272 130.410798 \nL 212.006618 126.242105 \nL 214.811468 122.016271 \nL 217.056893 117.859901 \nL 218.6118 113.920196 \nL 219.359262 110.355676 \nL 219.209123 107.322602 \nL 218.10998 104.958418 \nL 216.058347 103.364797 \nL 213.102781 102.593756 \nL 209.341564 102.640048 \nL 204.913913 103.442107 \nL 199.986156 104.891459 \nL 194.735486 106.848578 \nL 189.334284 109.16146 \nL 183.937424 111.683102 \nL 173.643694 116.864737 \nL 160.526792 123.872361 \nL 153.617469 127.733042 \nL 148.091308 131.013516 \nL 143.752123 133.866168 \nL 140.375156 136.43753 \nL 137.74387 138.838452 \nL 135.666032 141.140372 \nL 133.978375 143.382514 \nL 131.888968 146.666296 \nL 128.090161 152.920901 \nL 126.66154 154.879786 \nL 125.04749 156.755403 \nL 123.18912 158.531871 \nL 121.026564 160.188132 \nL 118.497792 161.694625 \nL 115.538806 163.008656 \nL 113.877945 163.575095 \nL 112.08591 164.068283 \nL 110.155676 164.476202 \nL 108.081164 164.784585 \nL 105.857703 164.976627 \nL 103.482622 165.032699 \nL 100.955984 164.930125 \nL 98.281468 164.643051 \nL 95.46743 164.142468 \nL 92.528098 163.396489 \nL 89.484902 162.370956 \nL 86.36784 161.030529 \nL 83.216776 159.340374 \nL 80.082502 157.268555 \nL 77.027305 154.789198 \nL 74.124778 151.886431 \nL 71.458487 148.558881 \nL 69.119269 144.824355 \nL 67.200927 140.724095 \nL 65.794352 136.325735 \nL 64.980446 131.724055 \nL 64.822517 127.038647 \nL 65.359219 122.408046 \nL 66.599205 117.980483 \nL 68.518605 113.902211 \nL 71.06195 110.305047 \nL 74.146565 107.295121 \nL 77.669776 104.944718 \nL 81.51767 103.288375 \nL 85.574061 102.323571 \nL 89.728382 102.015397 \nL 93.881674 102.303888 \nL 97.950319 103.112546 \nL 101.86765 104.356656 \nL 105.583818 105.950416 \nL 109.064442 107.812353 \nL 112.288562 109.868932 \nL 115.246308 112.056454 \nL 117.936582 114.321736 \nL 120.364942 116.621764 \nL 122.541762 118.922812 \nL 124.48071 121.199254 \nL 126.197524 123.432263 \nL 127.709046 125.608577 \nL 130.184906 129.759198 \nL 132.041688 133.617037 \nL 133.40004 137.180566 \nL 134.362919 140.465398 \nL 135.0144 143.495009 \nL 135.420543 146.295413 \nL 135.631275 148.892316 \nL 135.656469 152.457878 \nL 135.394098 155.689822 \nL 134.871471 158.647087 \nL 134.078208 161.378087 \nL 133.378678 163.092916 \nL 132.518802 164.734626 \nL 131.470279 166.311174 \nL 130.196944 167.828328 \nL 128.653703 169.288775 \nL 126.785271 170.690551 \nL 124.524866 172.024489 \nL 121.793172 173.27015 \nL 118.498151 174.389577 \nL 114.536798 175.31794 \nL 112.272319 175.679638 \nL 109.800768 175.950015 \nL 107.109834 176.106573 \nL 104.189073 176.121723 \nL 101.031067 175.961999 \nL 97.632937 175.587327 \nL 93.998277 174.950455 \nL 90.139546 173.996708 \nL 86.080907 172.66433 \nL 81.861471 170.885736 \nL 77.53872 168.590084 \nL 73.191748 165.707641 \nL 68.923755 162.176323 \nL 64.862899 157.950633 \nL 61.160516 153.012803 \nL 57.985547 147.385139 \nL 55.514455 141.141766 \nL 53.916464 134.416943 \nL 53.335317 127.406596 \nL 53.870104 120.360191 \nL 55.558927 113.561705 \nL 58.369457 107.301312 \nL 62.199344 101.842574 \nL 66.887003 97.391917 \nL 72.23067 94.077132 \nL 78.011432 91.939174 \nL 84.015387 90.937715 \nL 90.051095 90.967426 \nL 95.960399 91.879933 \nL 101.622673 93.506314 \nL 106.953804 95.676247 \nL 111.901887 98.231904 \nL 116.441324 101.036231 \nL 120.566729 103.976481 \nL 124.287362 106.964187 \nL 127.622509 109.933003 \nL 130.597852 112.83543 \nL 133.242745 115.639228 \nL 135.588243 118.324025 \nL 139.505879 123.297003 \nL 142.590647 127.728067 \nL 146.118569 133.417514 \nL 150.455666 140.71278 \nL 152.020479 142.977093 \nL 153.632524 144.9047 \nL 155.368907 146.505122 \nL 157.297865 147.776212 \nL 159.481458 148.703651 \nL 160.68682 149.030556 \nL 161.976955 149.260371 \nL 163.358226 149.387634 \nL 164.836552 149.406054 \nL 166.417261 149.308517 \nL 168.104905 149.087143 \nL 169.903005 148.73337 \nL 171.813742 148.238081 \nL 173.83756 147.59183 \nL 175.972706 146.78511 \nL 178.214678 145.808771 \nL 180.555603 144.654551 \nL 182.98356 143.315744 \nL 185.481852 141.788064 \nL 188.028288 140.070642 \nL 190.594539 138.167205 \nL 193.145625 136.087351 \nL 195.63968 133.847839 \nL 198.028088 131.473791 \nL 200.256144 128.999623 \nL 202.264367 126.469463 \nL 203.990563 123.936867 \nL 205.37264 121.463536 \nL 206.352136 119.116947 \nL 206.87822 116.966831 \nL 206.911806 115.080694 \nL 206.429342 113.518762 \nL 205.425703 112.328977 \nL 203.915736 111.542733 \nL 201.934114 111.172077 \nL 199.53339 111.208914 \nL 196.780482 111.626317 \nL 193.752005 112.381806 \nL 190.529101 113.421999 \nL 187.192399 114.687885 \nL 183.817673 116.119945 \nL 177.214383 119.266477 \nL 171.132607 122.507774 \nL 165.813063 125.630268 \nL 161.351264 128.542624 \nL 157.74179 131.233136 \nL 154.920303 133.728637 \nL 152.795493 136.066009 \nL 151.270207 138.276928 \nL 150.253952 140.38208 \nL 149.669379 142.390747 \nL 149.45496 144.302679 \nL 149.565462 146.11044 \nL 149.97128 147.801365 \nL 150.657278 149.358723 \nL 151.621542 150.762119 \nL 152.874219 151.987126 \nL 154.436481 153.004278 \nL 156.339495 153.777535 \nL 158.623174 154.262252 \nL 161.334294 154.402857 \nL 164.523328 154.13047 \nL 168.239026 153.361124 \nL 170.307027 152.759644 \nL 172.519435 151.99569 \nL 174.877001 151.055101 \nL 177.377657 149.923576 \nL 180.015661 148.587244 \nL 182.780626 147.03345 \nL 185.656425 145.251791 \nL 188.620039 143.23546 \nL 191.640399 140.982866 \nL 194.67734 138.499553 \nL 197.6808 135.800275 \nL 200.590522 132.911128 \nL 203.336425 129.871458 \nL 205.839941 126.735173 \nL 208.016538 123.571043 \nL 209.779578 120.46154 \nL 211.045445 117.499789 \nL 211.739715 114.784453 \nL 211.803811 112.412746 \nL 211.201296 110.47213 \nL 209.922877 109.031832 \nL 207.989151 108.135482 \nL 205.450398 107.796376 \nL 202.383277 107.996255 \nL 198.884765 108.688073 \nL 195.064316 109.802109 \nL 191.035371 111.254405 \nL 186.907497 112.955822 \nL 182.780062 114.820283 \nL 174.849358 118.745271 \nL 167.721916 122.58522 \nL 161.628769 126.120556 \nL 156.615304 129.300202 \nL 152.613158 132.165 \nL 149.497879 134.787606 \nL 147.127147 137.237883 \nL 145.362856 139.568579 \nL 144.082187 141.813026 \nL 143.181905 143.988346 \nL 142.578828 146.100198 \nL 142.208345 148.147186 \nL 142.022099 150.124201 \nL 142.015706 152.943994 \nL 142.278323 155.568826 \nL 142.784218 157.977891 \nL 143.543369 160.151161 \nL 144.209377 161.457941 \nL 145.025682 162.641246 \nL 146.018791 163.689819 \nL 147.222473 164.588568 \nL 148.678698 165.316988 \nL 150.43874 165.847133 \nL 152.564308 166.140935 \nL 155.128429 166.146717 \nL 158.215577 165.794777 \nL 161.920161 164.992066 \nL 166.341841 163.616431 \nL 168.85179 162.666397 \nL 171.575145 161.511839 \nL 174.519676 160.127852 \nL 177.689595 158.487854 \nL 181.084048 156.564316 \nL 184.695247 154.329912 \nL 188.50625 151.759289 \nL 192.488393 148.83153 \nL 196.598507 145.533478 \nL 200.776096 141.86395 \nL 204.940834 137.838767 \nL 208.990928 133.496275 \nL 212.802967 128.902755 \nL 216.234145 124.15667 \nL 219.127594 119.390358 \nL 221.321444 114.767578 \nL 222.661631 110.475362 \nL 223.017561 106.709585 \nL 222.29874 103.654891 \nL 220.469393 101.46168 \nL 217.557842 100.224513 \nL 213.657759 99.967082 \nL 208.920256 100.638056 \nL 203.53787 102.119303 \nL 197.723686 104.244738 \nL 191.68987 106.824973 \nL 185.629509 109.6721 \nL 174.03875 115.534167 \nL 155.242499 125.478788 \nL 145.452137 130.838023 \nL 140.637885 133.703262 \nL 136.882536 136.227856 \nL 133.931819 138.552435 \nL 131.563057 140.765468 \nL 129.588766 142.913862 \nL 126.232206 147.070997 \nL 123.785428 150.040827 \nL 122.020684 151.918068 \nL 120.063766 153.685036 \nL 117.849639 155.311212 \nL 115.318556 156.757802 \nL 112.416234 157.974063 \nL 110.810954 158.475562 \nL 109.096395 158.892632 \nL 107.268954 159.213387 \nL 105.326462 159.424244 \nL 103.268603 159.509804 \nL 101.09742 159.452783 \nL 98.817917 159.234032 \nL 96.438737 158.832663 \nL 93.972913 158.226385 \nL 91.438648 157.392029 \nL 88.860094 156.306388 \nL 86.268023 154.947403 \nL 83.700332 153.295717 \nL 81.202199 151.336662 \nL 78.825775 149.062578 \nL 76.629262 146.475379 \nL 74.675193 143.589176 \nL 73.027888 140.432563 \nL 71.750093 137.050261 \nL 70.898949 133.503608 \nL 70.521639 129.869501 \nL 70.651189 126.237566 \nL 71.302977 122.705504 \nL 72.472503 119.373032 \nL 74.13485 116.334955 \nL 76.246015 113.67436 \nL 78.745959 111.456847 \nL 81.562967 109.726538 \nL 84.618729 108.504403 \nL 87.833434 107.788889 \nL 91.130317 107.558557 \nL 94.439256 107.776099 \nL 97.699195 108.393033 \nL 100.859456 109.354431 \nL 103.880031 110.603157 \nL 106.73114 112.083239 \nL 109.392277 113.742427 \nL 111.850956 115.533719 \nL 114.101374 117.41622 \nL 116.143081 119.355332 \nL 117.97976 121.322539 \nL 119.618143 123.2949 \nL 121.067091 125.254412 \nL 122.33683 127.187302 \nL 123.438329 129.083352 \nL 125.18139 132.738029 \nL 126.382951 136.185265 \nL 127.120248 139.415557 \nL 127.456931 142.433014 \nL 127.441473 145.24867 \nL 127.10707 147.876132 \nL 126.472303 150.328742 \nL 125.54211 152.617537 \nL 124.308812 154.749607 \nL 122.753119 156.726427 \nL 120.845156 158.54181 \nL 118.545766 160.179212 \nL 115.808472 161.608016 \nL 114.259861 162.229572 \nL 112.582804 162.778511 \nL 110.7713 163.244573 \nL 108.82001 163.615419 \nL 106.724676 163.876373 \nL 104.482638 164.010175 \nL 102.093484 163.996764 \nL 99.559836 163.813135 \nL 96.888269 163.433328 \nL 94.09038 162.828593 \nL 91.183973 161.96785 \nL 88.194299 160.818512 \nL 85.155301 159.347832 \nL 82.110679 157.524815 \nL 79.114614 155.322829 \nL 76.231913 152.722926 \nL 73.537257 149.717728 \nL 71.113319 146.315669 \nL 69.047492 142.54511 \nL 67.42718 138.457651 \nL 66.333802 134.129846 \nL 65.836004 129.662534 \nL 65.982838 125.177109 \nL 66.797962 120.808642 \nL 68.275861 116.696308 \nL 70.380922 112.972242 \nL 73.049693 109.750513 \nL 76.196068 107.117937 \nL 79.718576 105.128209 \nL 83.508563 103.800047 \nL 87.458109 103.119304 \nL 91.466645 103.044286 \nL 95.445715 103.5129 \nL 99.321708 104.450467 \nL 103.036784 105.776989 \nL 106.548383 107.413117 \nL 109.827772 109.284625 \nL 112.858087 111.325153 \nL 115.632198 113.477654 \nL 118.150624 115.69471 \nL 120.419655 117.938089 \nL 122.449727 120.177876 \nL 124.25409 122.391358 \nL 125.847716 124.561861 \nL 127.246465 126.677644 \nL 129.523442 130.716855 \nL 131.208773 134.47911 \nL 132.413397 137.96368 \nL 133.231086 141.185348 \nL 133.737407 144.166107 \nL 133.990515 146.930364 \nL 134.032821 149.502297 \nL 133.892908 151.904501 \nL 133.58736 154.157392 \nL 133.122274 156.27898 \nL 132.494368 158.284841 \nL 131.691671 160.18812 \nL 130.693766 161.999407 \nL 129.471666 163.726383 \nL 127.98734 165.373081 \nL 126.19302 166.938549 \nL 124.030435 168.414644 \nL 121.430275 169.782539 \nL 118.312425 171.007406 \nL 114.587893 172.030577 \nL 112.469064 172.439008 \nL 110.164033 172.758397 \nL 107.662459 172.969129 \nL 104.955651 173.047347 \nL 102.037535 172.964352 \nL 98.905882 172.68605 \nL 95.563869 172.172517 \nL 92.02198 171.377844 \nL 88.300267 170.250409 \nL 84.430895 168.73385 \nL 80.460846 166.769005 \nL 76.454529 164.297172 \nL 72.495845 161.264991 \nL 68.689175 157.631101 \nL 65.158483 153.374507 \nL 62.043759 148.504089 \nL 59.494142 143.068069 \nL 57.657438 137.161577 \nL 56.666595 130.929994 \nL 56.624572 124.565735 \nL 57.590097 118.296987 \nL 59.567291 112.368647 \nL 62.501784 107.017902 \nL 66.284765 102.448791 \nL 70.764404 98.810841 \nL 75.762425 96.186154 \nL 81.092339 94.586933 \nL 86.576003 93.962845 \nL 92.056064 94.215375 \nL 97.403337 95.215352 \nL 102.51933 96.820122 \nL 107.335081 98.887813 \nL 111.807641 101.287538 \nL 115.915481 103.905441 \nL 119.653718 106.647209 \nL 123.029761 109.438062 \nL 126.059622 112.221059 \nL 128.764957 114.954621 \nL 131.17081 117.609773 \nL 133.303914 120.167478 \nL 136.860351 124.950387 \nL 139.644183 129.269992 \nL 141.845285 133.139891 \nL 144.405858 138.176292 \nL 147.727886 144.826987 \nL 148.999983 146.961645 \nL 150.349676 148.821942 \nL 151.839177 150.412983 \nL 153.527039 151.73019 \nL 155.47072 152.758431 \nL 157.728283 153.470808 \nL 158.993252 153.69656 \nL 160.358973 153.827153 \nL 161.832879 153.855211 \nL 163.422229 153.772331 \nL 165.13395 153.569048 \nL 166.974394 153.234842 \nL 168.949031 152.758173 \nL 171.062052 152.126593 \nL 173.315876 151.326925 \nL 175.710527 150.345565 \nL 178.242902 149.168938 \nL 180.905905 147.784124 \nL 183.68746 146.179723 \nL 186.569436 144.34698 \nL 189.526522 142.281187 \nL 192.525128 139.983371 \nL 195.522461 137.462231 \nL 198.46592 134.73619 \nL 201.292999 131.835392 \nL 203.931993 128.803393 \nL 206.303686 125.69812 \nL 208.324243 122.591698 \nL 209.90941 119.568717 \nL 210.979861 116.722597 \nL 211.467416 114.149997 \nL 211.321449 111.943539 \nL 210.514676 110.183607 \nL 209.047345 108.930364 \nL 206.949027 108.217365 \nL 204.277445 108.047973 \nL 201.114378 108.395419 \nL 197.559147 109.206541 \nL 193.720722 110.408523 \nL 189.709587 111.917335 \nL 185.630501 113.646376 \nL 177.627404 117.449038 \nL 170.272993 121.305557 \nL 163.877178 124.925103 \nL 158.543881 128.204964 \nL 154.240995 131.158329 \nL 150.862742 133.848241 \nL 148.273785 136.345144 \nL 146.336153 138.706552 \nL 144.923639 140.97122 \nL 143.928197 143.160724 \nL 143.261645 145.283756 \nL 142.854858 147.340594 \nL 142.655779 149.326733 \nL 142.627074 151.235402 \nL 142.851915 153.936699 \nL 143.365061 156.421493 \nL 143.866344 157.945348 \nL 144.505012 159.353765 \nL 145.297458 160.637382 \nL 146.267079 161.784596 \nL 147.444719 162.780369 \nL 148.869372 163.604702 \nL 150.589075 164.2307 \nL 152.661847 164.622036 \nL 155.156406 164.729699 \nL 158.152207 164.487918 \nL 161.737964 163.809289 \nL 166.007288 162.57954 \nL 168.426697 161.713817 \nL 171.049179 160.653202 \nL 173.88219 159.374534 \nL 176.929973 157.853083 \nL 180.19219 156.063187 \nL 183.662261 153.979275 \nL 187.325352 151.577397 \nL 191.156078 148.837406 \nL 195.115967 145.745856 \nL 199.15089 142.299726 \nL 203.18872 138.510868 \nL 207.137658 134.410965 \nL 210.885831 130.056499 \nL 214.302839 125.532869 \nL 217.244008 120.956496 \nL 219.55787 116.473532 \nL 221.09705 112.253767 \nL 221.732017 108.478989 \nL 221.366167 105.326014 \nL 219.949914 102.946349 \nL 217.490845 101.445886 \nL 214.057282 100.869119 \nL 209.773763 101.192026 \nL 204.808702 102.325826 \nL 199.356622 104.130978 \nL 193.618444 106.438049 \nL 187.783548 109.070499 \nL 176.44874 114.683527 \nL 161.752315 122.42403 \nL 150.632071 128.474996 \nL 145.067091 131.686456 \nL 140.713244 134.454107 \nL 137.31792 136.942071 \nL 134.646897 139.267179 \nL 132.496712 141.500664 \nL 130.696646 143.678731 \nL 127.608279 147.904459 \nL 125.329938 150.93255 \nL 123.67373 152.856147 \nL 121.826307 154.680161 \nL 119.723657 156.37921 \nL 117.304666 157.920649 \nL 114.510741 159.260857 \nL 111.287504 160.340373 \nL 109.500098 160.75801 \nL 107.589346 161.077954 \nL 105.552318 161.285583 \nL 103.387983 161.364149 \nL 101.097787 161.294651 \nL 98.686347 161.055803 \nL 96.162246 160.624164 \nL 93.538916 159.974421 \nL 90.835592 159.079975 \nL 88.078257 157.913853 \nL 85.300513 156.45003 \nL 82.544231 154.665263 \nL 79.859843 152.5414 \nL 77.306064 150.068186 \nL 74.948854 147.246372 \nL 72.859435 144.090948 \nL 71.111244 140.633994 \nL 69.775866 136.926735 \nL 68.918139 133.040146 \nL 68.59087 129.063615 \nL 68.829752 125.101328 \nL 69.649269 121.266395 \nL 71.040241 117.673236 \nL 72.969559 114.429026 \nL 75.382256 111.625507 \nL 78.205656 109.332316 \nL 81.354995 107.592743 \nL 84.739687 106.422488 \nL 88.26939 105.81127 \nL 91.859149 105.726717 \nL 95.433218 106.119741 \nL 98.927406 106.930398 \nL 102.290052 108.093468 \nL 105.4819 109.54326 \nL 108.475175 111.2172 \nL 111.252192 113.058321 \nL 113.803745 115.016645 \nL 116.127481 117.049709 \nL 118.226366 119.122459 \nL 120.107335 121.20673 \nL 121.780121 123.280476 \nL 123.2563 125.326923 \nL 124.548518 127.333705 \nL 126.633447 131.196109 \nL 128.13749 134.828704 \nL 129.153822 138.221407 \nL 129.761175 141.380606 \nL 130.02196 144.32114 \nL 129.982221 147.061366 \nL 129.672517 149.620131 \nL 129.10915 152.014944 \nL 128.29538 154.260755 \nL 127.222444 156.369031 \nL 125.870321 158.346742 \nL 124.208268 160.195041 \nL 122.195289 161.907352 \nL 119.780806 163.466518 \nL 116.906012 164.840632 \nL 115.276016 165.442892 \nL 113.506684 165.977179 \nL 111.590036 166.432406 \nL 109.518663 166.79509 \nL 107.286183 167.049007 \nL 104.887822 167.174828 \nL 102.321153 167.14979 \nL 99.587013 166.947427 \nL 96.690612 166.53743 \nL 93.642855 165.885712 \nL 90.461829 164.954802 \nL 87.174444 163.704709 \nL 83.818101 162.094401 \nL 80.442205 160.084098 \nL 80.442205 160.084098 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd1ae6d9c3a\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,0], result_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/lorenz63/Lorenz63Train.ipynb b/examples/ode/lorenz63/Lorenz63Train.ipynb
index 3330247e..d9484e46 100644
--- a/examples/ode/lorenz63/Lorenz63Train.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train.ipynb
@@ -116,7 +116,7 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T23:52:06.661303</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m690cacd3ce\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#m690cacd3ce\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#m690cacd3ce\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#m690cacd3ce\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#m690cacd3ce\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#m690cacd3ce\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#m690cacd3ce\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#m690cacd3ce\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf99ed4adb6\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf99ed4adb6\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf99ed4adb6\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf99ed4adb6\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf99ed4adb6\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf99ed4adb6\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf99ed4adb6\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p2faf9e5884)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p2faf9e5884\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:16:19.922631</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m601d269560\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#m601d269560\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#m601d269560\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#m601d269560\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#m601d269560\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#m601d269560\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#m601d269560\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#m601d269560\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m4f48c145b4\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4f48c145b4\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4f48c145b4\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4f48c145b4\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4f48c145b4\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4f48c145b4\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4f48c145b4\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p8e77333e8e)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p8e77333e8e\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAh8AAAGeCAYAAAA0WWMxAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAABXrElEQVR4nO3dd3hUdf728fekTXpCEkghHRKQ3qtUAUVkLVhZFV0LdhH35+q6u+quwqr7sOhiL6hr77pWsFCkSZVe00NCSO9t5jx/BEYBEQKTnEnmfl3XXJozw5kPw0nOnW+1GIZhICIiItJKPMwuQERERNyLwoeIiIi0KoUPERERaVUKHyIiItKqFD5ERESkVSl8iIiISKtS+BAREZFWpfAhIiIirUrhQ0RERFqVl9kFHM1ut7N//36CgoKwWCxmlyMiIiInwTAMKioqiImJwcPjBG0bRjM88MADBnDEIzIy0vG83W43HnjgASM6Otrw9fU1xowZY2zdurU5b2FkZ2cf8x566KGHHnrooUfbeGRnZ5/wXt/slo+ePXvyzTffOL729PR0/P9jjz3GvHnzeOWVV0hNTeXhhx9m4sSJ7Nq1i6CgoJM6/+HXZWdnExwc3NzyRERExATl5eXExcWd1P2+2eHDy8uLqKioY44bhsH8+fO5//77ueiiiwB49dVXiYyM5M0332TmzJkndf7DXS3BwcEKHyIiIm3MyQyZaPaA0z179hATE0NSUhKXX345aWlpAKSnp5Ofn8+kSZMcr7VarYwZM4aVK1ce93x1dXWUl5cf8RAREZH2q1nhY+jQobz22mt8/fXXvPDCC+Tn5zNixAiKiorIz88HIDIy8og/ExkZ6Xju18ydO5eQkBDHIy4u7hT+GiIiItJWNCt8TJ48mWnTptG7d28mTJjA559/DjR1rxx2dHOLYRi/2QRz3333UVZW5nhkZ2c3pyQRERFpY05rnY+AgAB69+7Nnj17HONAjm7lKCgoOKY15JesVqtjfIfGeYiIiLR/pxU+6urq2LFjB9HR0SQlJREVFcXixYsdz9fX17N06VJGjBhx2oWKiIhI+9Cs2S5//OMfmTp1KvHx8RQUFPDwww9TXl7OjBkzsFgszJo1izlz5pCSkkJKSgpz5szB39+f6dOnt1T9IiIi0sY0K3zk5ORwxRVXUFhYSMeOHRk2bBirV68mISEBgHvuuYeamhpuueUWSkpKGDp0KIsWLTrpNT5ERESk/bMYhmGYXcQvlZeXExISQllZmcZ/iIiItBHNuX9rYzkRERFpVQofIiIi0qoUPkRERKRVKXyIiIhIq2r2xnIiIiJyYoZhkFNSw6q0IvYdrASjac/5w881/fcXr3c8d/jrn5/sER3M+f064+PVPtoMFD5EREScwDAMMouqWZNexOq0YtakFbG/rNZp55+3eDczRydz+ZB4fL09nXZeM2iqrYiIyCkwDIO0wirWpBUfChxFHCivO+I1Xh4W+saF0rtziKPVwrHbmeXwf37e/8xiOeIpLBaob7Tz6U/7HeeOCPTh+lHJXDksgUCr67QhNOf+rfAhIiJyEgzDYN/BSlYdatVYk17MwYojw4a3p4V+caEMSw5naFI4AxJC8fc5/YBQ22Dj/fU5PLt0HzklNQCE+HlzzYhErh2ZSKi/z2m/x+lS+BARETlNdrvBnoJKR6vGj+nFFFbWH/EaHy8P+seFMjQ5nGHJYQyI79CiXSINNjufbNrP00v2knawCoAAH0+uHJ7A9Wcm0zHI2mLvfSIKHyIiIqfAMAzWZpTw7rpsvttZQHHVkWHD6uXBwIQODE0KZ2hyGP3iQk0Zf2GzG3y5NY8F3+1lZ36Fo7YrhsRz4+hkYkL9Wr0mhQ8REZFmyC+r5YMNOby/Pof0wirHcT9vz0NhI4xhXcLpExuC1ct1BnsahsF3Owv4z3d72ZRdCjS1xrx+3VCGJIW1ai0KHyIiIidQ32jn2x0HeHddNkt3H8R+6G4Y4OPJlD7RXDQglgHxHdrE9FbDMFi5r4jHv97FpuxSUiMD+fyOUXh7tl7tzbl/u84wWRERkVawM7+cd9fm8PGm3CO6VYYkhnHJoFjO7R1NgAvNIjkZFouFkV0j6BkTzLh/LWH3gUpeX53JtSOTzC7tV7WtT1dEROQUlNU08OlP+3lvXTabc8ocxyODrUwbEMvFA2NJ7hhoYoXOEervwx/P7sb9H21l3uLdTO0bQ0SgeYNQj0fhQ0RE2iW7vakr4t112Xy9LZ+6RjvQNB12whmRXDoojlEpEXi1YtdEa7h8cDxv/ZjF1txyHv9qF49e3Mfsko6h8CEiIu1KdnE1769vGjyaW1rjON49KohLBsVxQb8Ywl2wNcBZPD0sPPS7nkx7ZhXvrs9m+tB4+saFml3WERQ+RESkzattsPH1tnzeXZfNir1FjuNBvl6c3y+GSwfF0btzCBaL5TfO0n4MTAjjov6d+XBjLg98uo0Pbx6Bh4fr/N0VPkREpM3aW1DBKysz+GTTfipqGx3Hz+wawSWDYjm7Z1Sb3wflVN07uTtfb8tnU3YpH27M5eKBsWaX5KDwISIibcrhhcCeX7aPb3YUOI53DvXjkkGxTBsQS1yYv4kVuoZOwb7ccVYKc7/cyT+/3MmknpEE+3qbXRag8CEiIm2EzW6waFs+zy1LcyyoZbHAxDMiuXp4IiO6hLtU14IruHZkEu+szSatsIonv9nDX87rYXZJgMKHiIi4uNoGG++tz+Gl5WlkFFUDTat4ThsQy/WjkujSDqbIthQfLw/+NrUH1yxcyysrM7h8SBxdOwWZXZbCh4iIuKbiqnr+uyqTV1dlOBYDC/Hz5qphCcwYkWjqJmptydhunZhwRiTf7DjAQ//bzn+vG2p2SQofIiLiWrKKqnnxhzTeXZdNbUPT2hyxHfy47swkLh0U1+ZWH3UFfzuvB0t2FbB8TyE5JdXEdjB3TIz+BUVExCX8lF3K88vS+HJrnmOflV6dg7lxdBfO7RXV7hYDa03x4f507uBHZlE1+0trFT5ERMR92e0GS3YX8NzSNNakFzuOj0ntyMzRyQzvEu42a3O0tKhgXzKLqskvrzW7FIUPERFpffWNdj7ZlMsLy9PYfaASAC8PC7/rF8ONo5PpHqVdzZ0tKsQXgPyymhO8suUpfIiISKspr23gzTVZLFyRzoHyOgACrV5MHxrPtSMTiQ7xM7nC9uvn8FFnciUKHyIi0gryymp4+Yd03voxm8q6ppVII4Ot/GFkElcMjXeZxa/as6jgQ+GjXC0fIiLSjmUWVfHU93v5cEMujYdGkaZGBnLDqGTO79cZHy8NIm0t0YdaPvLKNOZDRETaoYzCKv7z3V4+3pSL7VDoGJYcxszRXRjbraMGkZog6lCX1gGFDxERaU/SDlay4FDoODxddmy3jtxxVgoD4juYW5ybO9ztcqCiDpvdwNPEpegVPkRE5LTtLahkwXd7+PSn/Y7QMb57J+44K4V+caGm1iZNOgZZ8fSwYLMbFFXW0elQGDGDwoeIiJyyvQUV/Oe7vXz6036MQ6FjwhlNoaNPbKiptcmRPD0sdAy0kl9eS15ZrcKHiIi0LXsOVPDkd3v5bPPPoWNij0juPCuFXp1DzC1OjisqxJf88lryy2vpa2IdCh8iInLSduVX8OR3e/hiS54jdJzdM5I7zkqhZ4xCh6tzTLc1edCpwoeIiJzQzvxynvx2D19syXccm9writvHp9AjRquRthWOhcZMXmJd4UNERI5r+/6m0PHVtp9Dx7m9m0LHGdEKHW1NdIhaPkRExEVtzS3jyW/3sGj7AQAsFji3dzR3jE+hW1SQydXJqYpS+BAREVezJaeMJ77dwzc7fg4d5/WJ4Y7xXUmJVOho635eYl3hQ0RETLY5p5QnvtnDtzsLAPCwwNS+Mdw+vitdOyl0tBcRQVYADlaYu7mcwoeIiBvbmlvGvxfvPiJ0nN+vM7eN70qXjoEmVyfOVngodIQF+Jhah8KHiIgb2plfzr8X7+brbU3dKx4WuKB/Z24b15VkhY52K7ukaUfb+DB/U+tQ+BARcSP7DlYy/5s9jsXBLBY4v28Md05IJSkiwOzypIVlFVcDEKfwISIiLS2zqIonvt3Dxxt/3vBtSu9oZk1I0UBSN5LtCB9+ptah8CEi0o7llFSz4Lu9vLc+x7G1/YQzIrlrolYkdUeHw4e6XURExOnyy2p56vu9vL02iwZbU+gYk9qR2RNT6atdZt1WlsKHiIg4W2FlHc8s2cd/V2dS32gHYESXcO6elMrAhDCTqxMz1TbYKDg02yWug8KHiIicppKqep5blsarKzOoabABMDixA7MndmN4l3CTqxNXkFPS1OoRZPUi1N/b1FoUPkRE2rCymgZeWp7GyysyqKxrBKBvXCh3T0xlVEoEFovF5ArFVfxypovZ14XCh4hIG1RZ18jCH9J5YXka5bVNoaNnTDCzJ6Yyvnsn028u4nqyi5vW+DB7pgsofIiItCnV9Y28tiqT55buo6S6AYDUyEBmT0xlUo8oPDwUOuTXucpgU1D4EBFpE2obbLyxJotnluyjsLJp0GByRAB3TkjhvD4xeCp0yAkofIiIyEmpb7Tzzrpsnvpur2Mn0vgwf+44K4UL+sXg5elhcoXSVhxe4yNW4UNERH5Ng83OhxtyePLbveSWNvXVx4T4cvtZKVw8MBZvhQ5pBsMwXGaBMVD4EBFxKTa7wSebcnni2z1kFjXdLDoFWbltfFcuGxyH1cvT5AqlLSquqqeq3obFAp1DNeBUREQAu93g8y15zP9mN/sOVgEQHuDDzWO7cOWwBHy9FTrk1B3ezTYyyNclriWFDxERExmGwdfbDjD/m93szK8AINTfmxtHJzNjeCIBVv2YltPnSoNNQeFDRMQUhmHw/a4C5i3ezdbccqBp5cnrRyXzhzMTCfI1dwVKaV+yf7HAmCtQ+BARaUWGYfDD3kLmLd7NxqxSAAJ8PLl2ZBI3jEomxORlr6V9+jl8mD/eA+C0hkvPnTsXi8XCrFmzHMcMw+DBBx8kJiYGPz8/xo4dy7Zt2063ThGRNm9NWhGXPb+aq176kY1Zpfh6ezBzdDLL/zSeP57dTcFDWky76XZZu3Ytzz//PH369Dni+GOPPca8efN45ZVXSE1N5eGHH2bixIns2rWLoKCg0y5YRKSt2ZBVwrxFu/lhbyEAPl4e/H5oPDeP7UKnIF+TqxN30C7CR2VlJb///e954YUXePjhhx3HDcNg/vz53H///Vx00UUAvPrqq0RGRvLmm28yc+ZM51QtItIGbMkpY97iXXy/6yAA3p4WLhscx63juhId4hrN39L+1TbYyCtrWqDOVcZ8nFK3y6233sqUKVOYMGHCEcfT09PJz89n0qRJjmNWq5UxY8awcuXKXz1XXV0d5eXlRzxERNqynfnl3PjaOqYu+IHvdx3E08PCpYNi+e7usTx8QW8FD2lVq9OKsNkNokN86RRkNbsc4BRaPt5++202bNjA2rVrj3kuPz8fgMjIyCOOR0ZGkpmZ+avnmzt3Lg899FBzyxARcTl7CyqZ/81uPt+Sh2GAxQIX9OvMnWelkBgRYHZ54qaW7W7q7huT2tFldjtuVvjIzs7mzjvvZNGiRfj6Hr+f8ui/nGEYx/0L33fffcyePdvxdXl5OXFxcc0pS0TEVBmFVTz57R4+3pSL3Wg6NqVPNHdNSKFrJ411E3Mt3V0AwOjUjiZX8rNmhY/169dTUFDAwIEDHcdsNhvLli1jwYIF7Nq1C2hqAYmOjna8pqCg4JjWkMOsVitWq2s0A4mINEdOSTX/+XYv72/IwXYodUzqEcldE1M5IzrY5OpEmq7RfQer8PSwMLJrhNnlODQrfJx11lls2bLliGPXXnst3bt3509/+hPJyclERUWxePFi+vfvD0B9fT1Lly7l0UcfdV7VIiImyi+rZcH3e3hnbTYNtqbQMa5bR2ZP7Ebv2BCTqxP52eEul/5xoYT4uc5U7maFj6CgIHr16nXEsYCAAMLDwx3HZ82axZw5c0hJSSElJYU5c+bg7+/P9OnTnVe1iIgJCipqeWbJPt5Yk0V9ox2AM7tGcNfEVAYmdDC5OpFjuWKXC7TACqf33HMPNTU13HLLLZSUlDB06FAWLVqkNT5EpM0qrqrnuaX7eHVVBrUNTaFjSGIYsyelMiw53OTqRH5dg83Oir1FQNNgU1diMQzDMLuIXyovLyckJISysjKCg9VnKiLmKatu4IXlaSxckU5VvQ2AfnGh3D0plTO7RrjMzAGRX/NjejGXPreKsAAf1t0/AQ+Plr1em3P/1t4uIiJHqahtYOGKDF5YnkZFbSMAPWOCuXtSKuO6dVLokDbhcJfLqJSIFg8ezaXwISJySHV9I6+uzOS5ZfsorW4AoFtkEHdNTOXsnpEKHdKmLN3dtLLu6BTX6nIBhQ8REWobbLy+OpNnl+6jsLIegOSOAcyakMp5vaNd7rdGkRMprKxja27TiuGjUl1niu1hCh8i4rbqGm28szabp77fy4HyOqBp4607z0rh/H4xeHme1sbfIqZZvqep1aNnTLBLbl6o8CEibqfBZuf99Tks+G4vuaU1AHQO9eP28V2ZNjAWb4UOaeOWHtrM0NWm2B6m8CEibqPRZueTTft54ts9ji3GI4Ot3DauK5cOjsPq5WlyhSKnz243WLbn5/1cXJHCh4i0e402O5/+tJ//fLeX9MIqACICfbh5bFd+PzQeX2+FDmk/tu0vp7iqnkCrFwPiXXPxO4UPEWm3Drd0LPj+59DRwd+bmWO6cPXwBPx99CNQ2p/DU2xHdAnHx8s1uxD1nSci7U6jzc7Hm/az4Ls9ZBQ1da908PfmxtFduGp4AoFW/eiT9ssxxdZFu1xA4UNE2pHDoeM/3+0h81DoCAvw4YZRyVw9PIEAhQ5p58prG9iQVQq47ngPUPgQkXag0Wbno425LPh+7xGh48bRyVw1TKFD3MfKvYXY7AbJHQOIC/M3u5zj0nekiLRZDYdDx3d7HbNXwgJ8mDk6mSsVOsQNufKqpr+k70wRaXMabHY+2pDLf77fQ3Zx0zod4QE+zBzTFDo0kFTckWEYLNt9aIptN4UPERGnaLDZ+XBDDgu+3+sIHRGBPswc3YXfD4tX6BC3tu9gJbmlNfh4eTAsKdzscn6TvlNFxOU12Ox8sL4pdOSU/Bw6bhrThd8PTcDPR+t0iCw5tKrp0KQwl/+eUPgQEZdV32jngw05PHVE6LBy05hkhQ6Roxwe7+HKs1wOU/gQEZdT12jj/fU5PP39PsfeKwodIsdX22Djx/RiQOFDRKRZauptvL02i+eWppFfXgtAxyArN43pwvQh8QodIsfx/c4C6hrtxIT40rVToNnlnJDCh4iYrrKukTdWZ/LC8jQKK+uBpg3fZo7uwnTtvSJyQu+sywbggv6dsVgsJldzYgofImKaspoGXluZwUsr0imtbgAgtoMfN4/twsUDY7XLrMhJ2F9a4xjvcemgOJOrOTkKHyLS6oqr6lm4Ip1XVmRQUdcIQFJEALeM7cIF/Tvj7emam2GJuKL31+dgGDAsOYzEiACzyzkpCh8i0moKKmp5cXk6r6/OpLreBkBqZCC3juvKeX1i8PRw/eZiEVditxu8s7apy+XywfEmV3PyFD5EpMXtL63h+WVpvPVjFnWNdgB6xgRz+/gUJvWIxEOhQ+SUrNhXSG5pDcG+XpzTK8rsck6awoeItJisomqeWbqP99dn02AzAOgfH8od41MY261jmxgYJ+LKDrd6XNC/c5samK3wISJOt+9gJU9/v4+PN+ViszeFjmHJYdw+PoURXcIVOkScoLiqnkXbDgBw2eC2MdD0MIUPEXGanfnlLPhuL59vycNoyhyMTu3I7eO7MjgxzNziRNqZjzbmUm+z06tzMD1jQswup1kUPkTktK3PLOGZJXv5ZkeB49iEMyK5bXxX+sWFmleYSDtlGAbvHupyuawNDTQ9TOFDRE6JYRgs31PI00v2sjqtaVlniwXO7RXNreO60iMm2OQKRdqvTdml7DpQga+3B7/rG2N2Oc2m8CEizWKzG3y9LZ9nluxjS24ZAN6eFi7s35mZY7rQpaPrL+0s0tYdHmh6bq9oQvy8Ta6m+RQ+ROSk1Dfa+XhTLs8u3UfawSoA/Lw9uWJIPNePSiIm1M/kCkXcQ1VdI//7aT/Q9gaaHqbwISK/qbq+kbd/zOaF5WnklTVt9hbs68U1IxK5ZmQSYQE+Jlco4l4+35xHVb2NpIgAhiS1zYHcCh8i8qvKqht4dVUGC1ekU3Jo35VOQVauH5XE9KEJBFr140PEDG+vzQKa9nFpq9PW9dNDRI5QUF7Liz+k88bqTKoOLYGeEO7PzNFduGhA21rISKS92XOggg1ZpXh6WJg2sLPZ5ZwyhQ8RASCzqIrnlqXx/roc6m1NS6B3jwrilnFdObdXFF7a7E3EdIcHmo7v3olOQb4mV3PqFD5E3Ny2/WU8tzSNzzbv59BipAxK6MAt47owrlunNtusK9Le1Dfa+XBjLgCXt9GBpocpfIi4IcMwWLmviGeX7mP5nkLH8bHdOnLL2K5tdhCbSHv2zY4DFFfVExlsZUxqR7PLOS0KHyJupNFm58ut+Ty3bB9bc8sB8PSwMKV3NDPHJLe5JZpF3Mnbh7pcLh4Y2+a7QRU+RNxATb2N99Y3TZfNLq4BwNfbg8sHx3PdmUnEhfmbXKGI/JackmqW7zkINM1yaesUPkTasZKqel5blcmrqzIorqoHICzAhxnDE7lqeILW6BBpI95fn4NhwIgu4SSEB5hdzmlT+BBph7KLq3nph3TeWZtNTUPTdNm4MD9uGJXMJQPj8PPRdFmRtsJmN3hvXQ7Qdlc0PZrCh0g7sjW3jOeXpfH5ljxsh6au9IwJ5qYxXZis6bIibdIPewvJLa0hxM+bs3tGmV2OUyh8iLRxx5u5MiolgpmjuzCya7imy4q0Ye8eGmh6Qb+YdrPIn8KHSBtV32jns837eXF5OtvzmmaueFjgvD4x3Dg6mV6dNXNFpK0rqqxj0fZ8AC4bHG9yNc6j8CHSxpRVN/DGj5m8ujKDA+V1QNPMlcsGxXH9qGTNXBFpRz7amEuDzaBPbAg9YoLNLsdpFD5E2ojMoioWrsjg3XXZVB/ac6VjkJVrRiQyfUg8HTRzRaRdMQzDsZx6e5he+0sKHyIuzDAM1meW8OLydL7eno9xaPnz7lFBXD8qmal9o7F6tY8+YBE50rI9hewpqMTP25Pf9YsxuxynUvgQcUGNNjtfbzvAC8vT2JRd6jg+JrUjN4xK1iBSETfw1Hd7AbhiSDzBvt4mV+NcCh8iLqSyrpF31mazcEU6OSVNK5H6eHpwYf/OXDcqidTIIJMrFJHW8GN6MT9mFOPj6cGNo5PNLsfpFD5EXMD+0hpeWZnBW2uyqKhrBKCDvzdXDUvgquGJdAyymlyhiLSmBd83tXpMGxhLVIivydU4n8LHIbUNNnbklZNfVkteWS1VdY34W70I8PEkyNebpIgAkjsGtJs51uIatuSU8eIPaXy+OY/GQ4uCJXcM4Lozk5g2IFbXm4gb2pxTyrLdB/H0sHDzmC5ml9Mi3Dp8GIbB4u0H+OSn/Xy/s8Axg+B4PCyQEB5Az5hgRnSJYGTXcOLD/NX3Ls1itxt8u7OAF5ensSa92HF8eHI4149KYly3Tnh46JoScVdPHWr1+F3fGOLD2+fUebcNH9nF1fz5oy1HrAgZEehDfJg/4YFWymoa2FdQSUVdI/WNdgDsBqQXVpFeWMVnm/MA6Bzqx/junZjaN4ZBCR1005Djqqm38cGGHF7+IZ20wioAvDwsnNcnmutHaVEwEYHdByr4etsBAG4Z2z5bPcBNw8fW3DIuf341lXWNWL08uHp4AoMSw8gorOJ/m/fz7Y4DHGoBP6Hc0hr+uzqT/67OJCrYl3N7R3PRgM66kYhDQUUt/12VyeurMympbgAgyNeL6UPjuWZEItEhfiZXKCKu4ulDrR7n9IwipR0PMHe78HGgvJbrX11HZV0j/eND+dclffl2xwFuf3Mj9Ta743V+3p6E+nuTV1Z70ufOL6/l5RXpvLwinb5xoVw5NJ7z+sRoB1E3tSu/gheXp/HJpv2OaysuzI8/jEzi0kFxBFjd7ttPRH5DZlEVn/60H4Bbx3U1uZqW5XY//R78dBv55bV06RjAi1cPYtY7mxxdL/3iQhnRJZzskhq25paRfqhp/FT8lF3KT9ml/OOz7Vw2OI7rzkxulyOW5Uh2u8GyPQd56Yf0I7r0BsSHcsOoZCb1jMJTXXMi8iueXboPu9G0nk/v2Pbdeu5W4SOnpJqvtzVt0LNg+gDmLd7N8j2F+Pt4cv+UM0g/WMVzy9IcW5E7Q3ltIy8sT+eVlRlMGxDLzDFdSIoIcNr5xTVU1zfywYZcFq5IJ+1gU2j1sMA5vaK47sxkBiZ0MLlCEXFleWU1vL8+B4DbxrfvVg9ws/Dx9o/Z2A04s2sEByvqeGNNFhYL/OuSvrz1Y5bjN9VBCR2wGwZZxTUUVtY55b0bbAZvr83mnXXZnNs7mrsmpNC1U/vtz3MXOSXVvLYqk7d/zKK8tml9jkCrF5cOiuPakYna5E1ETsrzy9JosBkMSQpjcGKY2eW0OLcKHz/llAIwpU80r63KAODqYQmszShm+Z5C/Lw9+cOZiXy5Jd8xG8HZDAM+35zHl1vyuHhgLHdOSKVzqAYctiWGYbAus4SXf0jn6235jsHJieH+XDMikYsHxRGo8RwicpIKK+t468csAG5r52M9DvNozoufeeYZ+vTpQ3BwMMHBwQwfPpwvv/zS8bxhGDz44IPExMTg5+fH2LFj2bZtm9OLPlWHm8ND/bz5bmcBAP3jO/DKygwA7p6UyhtrskgrrCLEz5vYDi0XCuwGvLsuh3GPL+Efn22npKq+xd5LnKOu0cYH63OYuuAHLnl2FV9uzXe0pL00YxDf3T2Wa0YmKXiISLO8/EM6tQ12+sSGMColwuxyWkWzfkrGxsbyz3/+k65dm5LZq6++yvnnn8/GjRvp2bMnjz32GPPmzeOVV14hNTWVhx9+mIkTJ7Jr1y6CgsztYrDZDXJLm/bKqK63YTegS8cA1mYUYxgwpXc0b/2YRWl1AymdArF6e7A1t7zF66q32Xnph3Q+2JDD3RNTuWJIPF6ezcqE0sKauugyeX11lqMbzurlwUUDOnPNiCS6Ran7TEROTVlNA/9dlQk0zXBxl0UrmxU+pk6desTXjzzyCM888wyrV6+mR48ezJ8/n/vvv5+LLroIaAonkZGRvPnmm8ycOdN5VZ8CD0vT4/BCYQCJ4QEs2t60mIuvtyf7DlYR6u9NkK8XG7JK8fSwOHXw6W8prW7gr59s4401WTwwtSfDu4S3yvvK8W3NLePlFel89lOeY6psVLAvVw1P4Ioh8YQF+JhcoYi0da+tzKCirpHUyEAmnhFpdjmt5pTbh202G++99x5VVVUMHz6c9PR08vPzmTRpkuM1VquVMWPGsHLlyuOGj7q6Ourqfh7UWV7eMq0NFosFfx8vKusayS6pBsDL08LBijosFhzH4jr4O4JHgI+nYxBha9mZX8EVL6xmat8YHpjag4hAbSjWmhptdhZvP8DCFRn8mPHz0uf940O5dmQSk3tF4a2WKRFxgqq6Rl5ekQ40tXq40wrZzQ4fW7ZsYfjw4dTW1hIYGMhHH31Ejx49WLlyJQCRkUcmt8jISDIzM497vrlz5/LQQw81t4xTEmhtCh91DU2/xR7uhgnx82ZHXlPoyS9vWlTM08PS6sHjl/73036W7T7I/VPO4JKBsW7TFGeWspoG3lmbxasrMx3XhZeHhSl9orl2ZBL94kLNLVBE2p23fsyipLqBhHB/pvSONrucVtXs8NGtWzc2bdpEaWkpH3zwATNmzGDp0qWO54++SRqG8Zs3zvvuu4/Zs2c7vi4vLycuLq65ZZ2Urp0CyS+vdbRy5B9avbS63ubYv6XoUJ/+4a/NVFbTwD3vb+bjjbnMvag3CeFaH8TZ9h2s5JUVGXywIcexsWAHf29+PzSBK4claGE4EWkRtQ02nl+WBsDNY7q43Vi/ZocPHx8fx4DTQYMGsXbtWp544gn+9Kc/AZCfn0909M8JrqCg4JjWkF+yWq1Yra3TtdCrcwg/7C3kQHlTwKg41LLxy6DRSkM8mmXlviLOmb+c+6ecwe+HxqsV5DQZhsGyPYUsXJHOkl0HHce7RwVx7chEzu/XWVvZi0iLen99DgUVdUSH+HLRgFizy2l1pz0n0DAM6urqSEpKIioqisWLF9O/f38A6uvrWbp0KY8++uhpF+oMvToHA2A3mhJGnQu0bpysmgYbf/l4K9/sOMBj0/rQKVi/kTdXdX0jHx5ahXTfoWnXFguc1T2SP4xMZHiXcAU7EWlxDTY7zy7dB8CNo5Px8XKvVg9oZvj485//zOTJk4mLi6OiooK3336bJUuW8NVXX2GxWJg1axZz5swhJSWFlJQU5syZg7+/P9OnT2+p+pvl8KpxxW14TY0luw4yaf4y5l7Ym8lu1kd4qnJLa3htZQZvHbUK6SWDYrlmRKK6s0SkVX26aT85JTWEB/hw+eB4s8sxRbPCx4EDB7jqqqvIy8sjJCSEPn368NVXXzFx4kQA7rnnHmpqarjlllsoKSlh6NChLFq0yPQ1Pg6LDPZlQHwoG7JKzS7ltJRWN3DzGxuYMTyBP085A6uXugiOdngV0oUr0vl62wHHlOmEw6uQDowlyNfb5CpFxN3Y7QZPL9kLwHWjktx213OLYRguNcqhvLyckJAQysrKCA4Odvr5X1iWxiNf7HD6ec3Sq3MwT00foN/eD6lrtPH55jwWrshgS26Z4/jIruFcOyKJcd07aVdZETHNF1vyuOWNDQT7erHi3vHt6peg5ty/3W4d6HN6RbWr8LE1t5zznvyBxy/pyzm9oswuxzSFlXW8sTqL/67OPGIV0gv7d+aakYl0j3J+kBURaQ7DMHjq+6ZWj2tGJLar4NFcbhc+4sL8GZUS4djB1vnn92NSjyiiQ3ypt9nJKanh4425jmmcLaGirpGbXl/PnWelcOdZKW61UM3W3DIWrsjgfz/td6xCGhls5erhiVqFVERcypJdB9m2vxx/H0+uHZlkdjmmcrvwAU2JsyXCx/junXjmygHHjMGYc2FvSqvrWbz9AH//33Yq6lpm8bInvt3Djrxy5l3Wr11vbmazGyzefoCXV6TzY/rPq5D2iwvl2pGJnNs7WquQiohLMQyDBYdaPX4/NJ4Obv6LUfu9Q/2Gcd06kRDuT2ZRtVPPe8dZKccd/Bnq78Mlg+K4ZFAcO/PLeeyrXY6ddZ1p0fYDXPjUCl6+ZjBxYf5OP7+ZyqobeGfdsauQnts7mmtHJtI/voPJFYqI/LrVacWszyzBx8uDG0Ylm12O6dwyfHh4WJgxPJG/f7bdqeeNCT25tTe6RwXz8jWDySyq4t4PtrAqrcipdewpqOSiZ1by8ozB9I4Nceq5zbC3oJJXVqbzwfpcahp+XoV0+tB4rhqWqFVIRcSlGYbB/G92A3DpoFit04Sbhg+A6UPjeW7ZPsdqp85QUF5Hp6CTv6gSwgN468ZhbNtfxpQnf3BaHdC0Dfxlz6/iqekDGNe9k1PP3RrsdoOluw/y8or0I7rItAqpiLQ1i7YfYE16MVYvD24e29XsclyC23aM+3p7csdZKU4959pf7ILaHD1jQtg351z+7+xuTq2nut7G9a+t49112U49b0uqrGvk1ZUZTJi3lGtfWcvyPYVYLDCxRyRv3jCUL+8cxWWD4xU8RKRNqG+0M/fQDMsbRiXTOdTP5Ipcg9u2fABcOiiO55elOW3sx6c/7T/lEcyeHhZuHdeVKb2jGfuvJU6pB5oGZ97z/mZq6m3MGJHotPM6W1ZRNa+uyuDdtdmOAblBvl5cNiiOq4cnEh/evsaviIh7eG1VBhlF1XQMsnLT2C5ml+My3Dp8eHt6cPekbtzx1kannG9jVikbs0pOa+BjYkQAux4+h9ve3Mji7QecUhfAA59uo7rexs0udPEbhsGqfUW8vCKDb3ce4PByd8kRAVwzMpFpA2IJaMezdkSkfSuuqueJb/cA8MdJqe16FmJzuf0nMbVPNG+uyWR12ql1mRztsa928eYNQ09rgzKrlycvXD2It3/M4t4PtzilLoBHv9pJXaONWRNSnXbOU1HbYOPjjbm8sjKDnfkVjuOjUzty7chExqR0dKu1SkSkfXrim91U1DZyRnQwFw+MM7scl+L24cNisfDwBb2Z/MQyGmynv9L8qrQiPv1pP+f363za57p8SDxJEQFc9vzq0z7XYfO/2YOvtyc3jWn9FpC8shpeW5XJWz9mUVrdAIC/jyfTBsQyY0QiXTsFtnpNIiItYW9BBa+vyQLgr1PO0LYOR3H78AHQtVMgN4/pwpPf7XXK+R78dBvDksOJdMJ0qqHJ4Xx2+5mc9x/nzYb555c78fP2bJUxIIZhsCGrhJdXZPDV1nzHBm+xHfyYMTyRSwfHEeLnvksMi0j7NOeLndjsBhPOiGRE1wizy3E5brex3PHUNtg4Z/4yMpw0+HRoUhhvXD8ULyettJl2sJLx/2+pU8512L8u6cvFA2Odes7DjrfB27DkMK4ZkcTEHpH6TUBE2qXlew5y1Us/4uVhYdFdo0nu6B6tus25f7vtVNuj+Xp7Mu+yfk67Ia5JL+aBT7fhrGyX3DGQz24/0ynnOuzeDzbzg5OXmT9YUcf8b3Yz8p/fM/vdn9iSW4aPlweXDorliztG8faNwzmnV5SCh4i0S402Ow9/1jS19qrhCW4TPJpL3S6/MCC+A7eN6+oYnXy63liTRUyoH7eOc86iMr06h/D6dUO58qU1Tjlfo93g5tfX897Nw09719ctOWUsXJnOZz/lHbHB21XDErhiSDzhgVZnlCwi4tLeXZfDrgMVhPh5c6eT15JqTxQ+jnL7+K4s3X2QTdmlTjnf41/vwurlwfVOWsv/zJQI/nF+T/76yTannK+irpE/LFzLp7efSUQzA0Kjzc7X2w6wcEU66zJLHMf7x4dy7cgkJveK0gZvIuI2KmobmLd4FwCzJqQQ6u/em8f9FoWPo3h5ejD/sn5MeXI5VfU2p5zz4c93UF1v4/bxXU9rCu5hVw5L4LPNeaxJd8704P1ltdz+5kb+e92QkxqjUlJVz9trs/nvqgz2l9UCTRu8TekTzbUjk+gXF+qUukRE2pKnvt9HYWU9yREBXDkswexyXJoGnB7HV1vzuOn1DU495+WD4/j7+b3w8Tr91oCSqnr6/2OxE6r62czRydx37hnHfX5XfgWvrEzno4251DY0da2EB/jw+6Hx/H5YglNm94iItEXZxdWc9f+WUm+z8+LVg5jQI9Lsklpdc+7favk4jnN6RXPL2C48vWSf08759tps0g5W8eQV/U97J9YOAT48fnEf/u/9zU6qDp5blsbAhA5M6hnlOGa3G3y3s4CFK9NZsffn3Xd7RAdz7chEpvaN0T4rIuL2/vnVTuptdkZ2DeesM9reZp6tTS0fv8FmN7hm4Y9H7KrqDGEBPjw2rc9pJ2Ob3WDII99QVFXvpMqaavt61mh8vT14d10Or63KcOx942GBST2iuHZkIkOSwpzShSQi0tatyyjm4mdXYbHA57ePokeMufcuszTn/q3wcQIlVfWc/9QKsoqds/7HL13YvzN/Pa8HYQGnPijps837ue1N5+xN80sBPp6OMS/Bvl5cMSSeK4clEBemDd5ERA6z2w0ufGYlP2WXcvngOP45rY/ZJZlG3S5O1CHAh4XXDmbaMysdS4I7y0cbc/l2xwHunJDKVcMSTmksyKQeUSd+0SmoqrfRtVMg14xI5KIBnfH30aUiInK0T3/az0/ZpQT4eDJ7krn7ZrUlmgd5Erp0DOSlGYOwOmGg6NHKaxv5x2fbGfevJby+OpPahubNsPHx8mBSCw1sev+m4Vw5LEHBQ0TkV9TU23j0q50A3DKuK52CNOj+ZCl8nKSBCWE8cXk/nD3MITHcn4hAH3JLa/jLx1sZPvdb5n65g90HKk78hw9pqQ3Z/t+i3S1yXhGR9uDF5WnkldXSOdSP685MMrucNkXhoxnO6RXNQ7/r6dRzZhRVU1hZz6QekXQO9aOkuoHnlqYx6d/LOGf+Mh79aicr9xZSVdd43HN4tdBS5a+vyWxWCBIRcRcHymt5ZmnTbMg/Te6uWX/NpPb0Zrp6eCK1DTbmfLHTqeddtP0AQ5PCmD40no1ZJSzdfZCd+RXszK/gmSX7sFiaun+SIgKI7eBHRKCVAB9PvL08nLYb79EMA+Z/s5unfz+wRc4vItJW/evrXVTX2+gfH8rUPtFml9PmKHycghtHd6G+0c6/nNwtsSa9mDXpxQyID+Wxi/tgs8OKvYWs2ldEfnktewsq2VtQ6dT3PB4PC9gN+GJLPtv2l9EzJqRV3ldExNVtzS3j/Q05APz1vB5aduAUKHycotvGp1DfaG+RVocNWaVsyCoF4JoRiTx8QS9iQv04UFFLTnE1OSU17D5Qwfe7Djr9vQ+zGxAV7Et+eS0vLk/n35f1a7H3EhFpKwzD4OHPt2MY8Lu+MQyI72B2SW2SwsdpuGtiKl6eHsxb3HIDM19ZmcErKzMcX0cE+tBgMyirce6031/j59PUh/n55jzun3JGszeeExFpbxZtP8DqtGKsXh78aXJ3s8tpszTg9DRYLBbuOCuFv5/v3EGov6Wwsr7Fg0egtSmTFpTX0j0qiHqbnffW5bToe4qIuLr6Rjtzv9gBwPWjkugc6mdyRW2XwocTXD08kScu79dis05aW6PdTkSgD1X1NuIPrWj6+Zb9JlclImKu11ZlkFFUTccgKzeP7Wp2OW2awoeTnN+vMy9cPQh/n7Y73crDAkG+XtQ22B2JPsDqhYcFtuaWk1Pi/CXmRUTagpKqep78dg8Af5yU6mghllOj8OFE47p34v2bRhBzmjvWtrbD30SHB5kCjvEdWcXVDEoMA2BJCw5wFRFxZY98sYPy2ka6RwVx8cA4s8tp8xQ+nKxHTDAf3zaSvnGhZpdyQsG+TaEjLMDH0WUUHujjOAawI6+coUlN4WNTdmnrFykiYrJluw/y/vocLBZ45MJeeLaTLnYzKXy0gE5Bvrxz4zDO7xdjdinH8PSwOLqGIg+1ckQGW2m0G0cciwhqavmoPrTBHMBPCh8i4maq6hq578MtAMwYnsjAhDCTK2ofFD5aiK+3J/Mv68c/LuiFj6frfMxRwb5U19vw9fZwTKWNOTS+w9/HE79DSwT7eXsScOj5ED9vALJLqjEMw4SqRUTM8fjXu8gtrSG2gx//d3Y3s8tpN1znrtgOWSwWrhqWwPs3Dye2g/lTsqJDfCmsrANgbGonNueUYbFAB/+mLpZ+caHsL6sFmlpDDjvcGlLbYKfiN/aYERFpT9ZlFPPqqgwA5l7UmwANMnUahY9W0Cc2lM9vH8W5vaNMqyHQ6sXBijrqGu0MTOhAWmHTMu1TekezLrMYgLHdOrIzrxyA+LAA6hrtAIT6eztabypqFT5EpP2rbbDxpw82YxhwycBYRqV0NLukdkXho5WE+Hvz1PQBPHF5P0c3RmuqrGuk0W4wKKEDdY02dh+oJDzAh35xoWzNLcfHy4MzooMpqKjD38eT8EAfGu0GPl4edAy0Um9rCiKu1IUkItJS/vPdHvYdrKJjkJW/TOlhdjntju4krchisXB+v84sums0Y7u1booO8vWiX1woGUXVbM0tJ9DqxexJqfzn0N40t47tykcbcgEY160TOw61gHTtGEh1g81xnra8jomIyMnYtr+MZ5emAfCP83sR4t/6vzC2dwofJogM9mXhNYN54vJ+dAxq+f1SfLw8sNsNNmWXUlhZR1JEALMmpPDvxbspq2mgX1wog5M68PGmpvBx05gufLklH2jqijm8k25ksFV9niLSrjXa7Nzz/mZsdoNze0dxTi/zusvbM91JTHK4FWRc9078e/FuXl2Zgb2FJpLUN9qppyk8nNm1I7WNNh75YgeGAWdEB/PwBb244bV12A24sH9nAqyeLN5xAIDz+sSwcl8hAKmRQS1ToIiIi3h+eRrb9pcT4ufNg79rvX273I3Ch8mCfb15YGpPLhkYxz+/2smy3c5dRdTH04PwQB/HOJMPNvy8Qdylg2I5v19nbnhtHXlltSRHBPDQ+T25462N2OwG47t3okdMMH/7ZCsAZ3Xv5NTaRERcyb6Dlcz/pmkJ9b+d14NOQW1rteq2ROHDRfSICea1Pwxh5b5CHvtql9NWE6232ckrqyXv0BRaTw8L47p15IL+nVm1r4irXlqD3YCunQJ54/qhvLg8nSW7DuLj5cGfzulOYWUd67NKADinV7RTahIRcTV2u8G9H2ymvtHO6NSOXDSgs9kltWsKHy5mRJcIProlnG93FPDs0n2syyw5pfN4e1rw8/YkItCKv9WTqGBf/H28iArxZVNWKXe8tdHRzXPRgM78ZUoPnl26j+eXNQ2y+vvvetItqqmb5dvZY1iXWUJUG9uzRkTkZL2xJpO1GSX4+3gy58JeWCxaQr0lKXy4IIvFwoQekUzoEcn6zBKeX7aPRdsP0JzFRRtsBg22RirrGrEbTbvSHm10akduGdsFb08Prn55jeM1907uzuVD4h2vS+4YSHLHwNP+e4mIuKKckmr++eVOAP50TndiO/ibXFH7p/Dh4gYmdOC5qwaxv7SGD9bn8N76HLKKf31re19vD4J9vSmtaaD+0AJhh1s3PD0sJIb7kxoZxLDkcM6IDmbXgQr+9fUuR+tKsK8X/7igF+f3U3OjiLgHwzC4/6OtVNXbGJTQgauGJZhdkluwGC62WUd5eTkhISGUlZURHBxsdjkux243WJdZwqJt+SzecYDMomODSAd/b6JD/Ai0euHr40mnICueFgvVDTYOlNeyr6CSoqp6x+t9PD24oH8Mf5zUjU7B6loREffx4YYcZr/7Ez5eHnx55yi6qJX3lDXn/q2WjzbGw8PCkKQwhiSFcf+UM9hbUMnq9GLWZxSzLrOEnJIaSqobKKlu+O3zWJpaVcZ3j2TagM4KHSLidg5W1PH3z7YDcOdZKQoerUjhow2zWCykRAaREhnkaCqsqmsks6iajKIqiirrqKyzUV3fiI+nB/5WL8ICvEnpFERyxwD8ffTPLyLu68FPt1Fa3UDPmGBuHJ1sdjluRXefdibA6kWPmGB6xKjLSkTkeL7ams/nW/Lw9LDw6LQ+eGvfqlalT1tERNxKWXUDfz20eOLM0cn06hxickXuR+FDRETcyiNfbOdgRR3JHQO446wUs8txSwofIiLiNn7YU8i763KwWOCxaX3w9dZO3WZQ+BAREbdQXd/IvR9uBuDqYQkMSgwzuSL3pfAhIiJu4V9f7yanpIbOoX783zndzS7HrSl8iIhIu7c+s4SFK9MBmHNRbwKtmuxpJoUPERFp12obbPzpg80YBkwbEMuY1I5ml+T2FD5ERKRd++eXO9lbUElEoA9/Pe8Ms8sRmhk+5s6dy+DBgwkKCqJTp05ccMEF7Nq164jXGIbBgw8+SExMDH5+fowdO5Zt27Y5tWgREZGT8fW2fF5ZmQHA45f0JdTfx9yCBGhm+Fi6dCm33norq1evZvHixTQ2NjJp0iSqqqocr3nssceYN28eCxYsYO3atURFRTFx4kQqKiqcXryIiMjx5JbWcM/7TbNbbhydzLhunUyuSA47rV1tDx48SKdOnVi6dCmjR4/GMAxiYmKYNWsWf/rTnwCoq6sjMjKSRx99lJkzZ57wnNrVVkRETleDzc7lz69mfWYJfeNCeW/mcHy8NNKgJTXn/n1a/xJlZWUAhIU1zZVOT08nPz+fSZMmOV5jtVoZM2YMK1eu/NVz1NXVUV5efsRDRETkdPx78W7WZ5YQZPXiP5f3V/BwMaf8r2EYBrNnz+bMM8+kV69eAOTn5wMQGRl5xGsjIyMdzx1t7ty5hISEOB5xcXGnWpKIiAjL9xzkmaX7APjntD7Eh/ubXJEc7ZTDx2233cbmzZt56623jnnOYrEc8bVhGMccO+y+++6jrKzM8cjOzj7VkkRExM0VVNRy1zubMAyYPjSeKX2izS5JfsUprbJy++238+mnn7Js2TJiY2Mdx6OiooCmFpDo6J//wQsKCo5pDTnMarVitVpPpQwREREHu91g9js/UVhZT/eoIP52Xg+zS5LjaFbLh2EY3HbbbXz44Yd89913JCUlHfF8UlISUVFRLF682HGsvr6epUuXMmLECOdULCIi8iueWbqPH/YW4uftyYLp/bVpnAtrVsvHrbfeyptvvsknn3xCUFCQYxxHSEgIfn5+WCwWZs2axZw5c0hJSSElJYU5c+bg7+/P9OnTW+QvICIisi6jmHmLdwPw0Pk96dopyOSK5Lc0K3w888wzAIwdO/aI4wsXLuSaa64B4J577qGmpoZbbrmFkpIShg4dyqJFiwgK0oUgIiLOV1pdzx1vbcRmN7igXwyXDIw98R8SU53WOh8tQet8iIjIyTIMg5n/Xc+i7QdIDPfnsztGadM4k7TaOh8iIiJmenVlBou2H8DH04MF0wcoeLQRCh8iItImbc0tY84XOwG479zu9OocYnJFcrIUPkREpM2prGvk9rc2Um+zM7FHJNeMSDS7JGkGhQ8REWlTDMPgrx9vJb2wipgQXx6/uM9xF7IU16TwISIibcr763P4aGMunh4WnryiP6H+PmaXJM2k8CEiIm3G3oIK/vbJNgDumpDCoMQwkyuSU6HwISIibUJtg43b3txITYONkV3DuXlsV7NLklOk8CEiIm3Cw59vZ2d+BRGBPvz7sn54emicR1ul8CEiIi7vyy15vL46C4B5l/ajU5CvyRXJ6VD4EBERl5ZdXM09H2wG4OaxXRid2tHkiuR0KXyIiIjLarDZuf2tjVTUNjIgPpTZE1PNLkmcQOFDRERc1iOf72BTdinBvl48eUV/vD1122oP9K8oIiIu6c01WbyyMgOAxy/pS2wHf3MLEqdR+BAREZezcl8hf/tkKwB3T0zl7J5RJlckzqTwISIiLiWjsIpb3thAo93gd31juG281vNobxQ+RETEZZTXNnD9a+sorW6gb2wIj2nflnZJ4UNERFxCo83ObW9uZG9BJVHBvrxw9SB8vT3NLktagMKHiIi4hEe+2MGy3Qfx9fbgxRmD6BSshcTaK4UPEREx3Vs/ZrFwRQYA/760H706h5hbkLQohQ8RETHVqn1F/PXjppktsyemMrl3tMkVSUtT+BAREdNkFlVx8xvrabQbTO0bw+2a2eIWFD5ERMQU5bUNXPfqzzNbHtfMFreh8CEiIq2u0Wbn9l/MbHleM1vcisKHiIi0ujlf7GTpL2a2RGpmi1tR+BARkVb11o9ZvLwiHYB5mtnilhQ+RESk1fxyZstdE1I5VzNb3JLCh4iItIpfzmw5r080d5ylmS3uSuFDRERa3NEzW/51SV/NbHFjCh8iItKiNLNFjqbwISIiLeqXM1teuFozW0ThQ0REWtDbv5jZ8v8u6UfvWM1sEYUPERFpIavTivjLL2a2TOmjmS3SROFDREScbvv+cm58bZ1mtsivUvgQERGnSi+s4uqX11Be28jAhA48frFmtsiRFD5ERMRp9pfWcOWLayisrKdHdDAvXzMYPx/NbJEjKXyIiIhTFFbWceVLa8gtrSE5IoDXrhtCiJ+32WWJC1L4EBGR01ZW08DVL/1I2sEqYkJ8+e/1Q4kItJpdlrgohQ8RETktNfU2rntlLdvzygkP8OH164fSOdTP7LLEhSl8iIjIKatvtDPz9fWsyywhyNeL164bQnLHQLPLEhen8CEiIqfEZjeY9c5Glu0+iJ+3JwuvGUzPGC0iJiem8CEiIs1mGAb3fbiZL7bk4+1p4bmrBjIoMczssqSNUPgQEZFmMQyDhz/fwbvrcvCwwJOX92d0akezy5I2ROFDRESa5T/f7eWlH5r2a3l0Wh8m99ay6dI8Ch8iInLSFq5IZ97i3QD87bweXDIozuSKpC1S+BARkZPy/vocHvrfdqBpo7g/nJlkckXSVil8iIjICX21NY973v8JgOvOTNJGcXJaFD5EROQ3Ld9zkDve2oTdgEsHxfKXKWdoozg5LQofIiJyXOszS7jxtfXU2+yc2zuKuRf1UfCQ06bwISIiv2r7/nKuXfgjNQ02Rqd25N+X9cPTQ8FDTp/Ch4iIHCPtYCVXv7yG8tpGBiV04NkrB2D18jS7LGknFD5EROQIu/IruOz51RRW1tMjOpiXrhmMv4+X2WVJO6KrSUREHDbnlHL1yz9SWt1A96ggXrtuCCF+3maXJe2MwoeIiACwNqOYaxeupbKukb5xobx67WBC/X3MLkvaIYUPERFh+Z6D3PDaOmob7AxLDuPFGYMJtOoWIS1DV5aIiJv7els+t7+5kXqbnbHdOvLslQPx9dbgUmk5Ch8iIm7s44253P3eT9jsBuf2jmL+Zf3x8dJcBGlZCh8iIm7qjTWZ/OXjrRgGTBsQy6PTeuPlqeAhLU/hQ0TEDT2/bB9zvtgJwNXDE3hwak88tICYtBKFDxERN2IYBv/+Zg9PfrsHgJvHduGes7tpyXRpVc1uX1u2bBlTp04lJiYGi8XCxx9/fMTzhmHw4IMPEhMTg5+fH2PHjmXbtm3OqldERE6RYRg8/PkOR/D4v7O78adzuit4SKtrdvioqqqib9++LFiw4Feff+yxx5g3bx4LFixg7dq1REVFMXHiRCoqKk67WBEROTU2u8GfP9rCSz+kA/Dg1B7cOq6ryVWJu2p2t8vkyZOZPHnyrz5nGAbz58/n/vvv56KLLgLg1VdfJTIykjfffJOZM2eeXrUiItJsDTY7f3zvJz7ZtB8PC/xzWh8uHRRndlnixpw6rDk9PZ38/HwmTZrkOGa1WhkzZgwrV6781T9TV1dHeXn5EQ8REXGO2gYbt7yxgU827cfLw8J/rhig4CGmc2r4yM/PByAyMvKI45GRkY7njjZ37lxCQkIcj7g4fVOIiDhDdX0j17+6jsXbD+Dj5cHzVw9kSp9os8sSaZldbY8evGQYxnEHNN13332UlZU5HtnZ2S1RkoiIWymvbeDql37kh72F+Pt48sq1gxnfPfLEf1CkFTh1qm1UVBTQ1AISHf1zui4oKDimNeQwq9WK1Wp1ZhkiIm4tu7ia619dx64DFQT7evHKH4YwIL6D2WWJODi15SMpKYmoqCgWL17sOFZfX8/SpUsZMWKEM99KRER+xfrMEi58egW7DlTQKcjK2zcOV/AQl9Pslo/Kykr27t3r+Do9PZ1NmzYRFhZGfHw8s2bNYs6cOaSkpJCSksKcOXPw9/dn+vTpTi1cRESO9MmmXP7v/c3UN9rpER3MS9cMIjrEz+yyRI7R7PCxbt06xo0b5/h69uzZAMyYMYNXXnmFe+65h5qaGm655RZKSkoYOnQoixYtIigoyHlVi4iIg2EYzP9mD08cWjxswhmRPHF5PwKsWsRaXJPFMAzD7CJ+qby8nJCQEMrKyggODja7HBERl1bbYOP/3t/M/37aD8DM0cncc053PLVPi7Sy5ty/FYtFRNqogxV13PjfdWzMKsXLw8IjF/bissHxZpclckIKHyIibdDO/HKue2UduaU1hPh588yVAxjRJcLsskROisKHiEgb8/3OAm57cwNV9TaSIgJ4acYgkjsGml2WyElT+BARaSMMw+CVlRn847Pt2A0YlhzGs1cOJNTfx+zSRJpF4UNEpA1osNl58NNtvLEmC4BLB8Xy8AW98fFqkYWqRVqUwoeIiIsrq2ngtjc3sHxPIRYL3De5OzeMSj7uthUirk7hQ0TEhWUWVfGHV9ay72AVft6ezL+8H2f3jDK7LJHTovAhIuKiVqcVcfPr6ympbiAq2JcXZwyiV+cQs8sSOW0KHyIiLsZuN3hm6T7+36Jd2A3o3TmEF2cMIjLY1+zSRJxC4UNExIUUV9Vz1zubWLr7IAAX9IthzkW98ffRj2tpP3Q1i4i4iLUZxdz+5kbyy2uxennw9/N7cumgOA0slXZH4UNExGR2u8Fzy9L416Jd2OwGyREBPPX7AZwRrf2tpH1S+BARMVFxVT13v7uJ73c1dbOc3y+GRy7sTaB2pJV2TFe3iIhJ1mUUc/tbG8krq8XHy4OHfteTywerm0XaP4UPEZFWZrcbvLA8jce+/rmbZcH0AfSIUTeLuAeFDxGRVlRSVc/d7/3EdzsLAJjaN4a5F6mbRdyLrnYRkVayPrOE29/cwP5D3SwPTu3JFUPUzSLuR+FDRKSFGYbBi8vTefSrnTTaDZIiAlgwvT89Y7RaqbgnhQ8RkRaUV1bDvR9scSwadl6faOZe1JsgX2+TKxMxj8KHiEgLMAyD99bn8I/PtlNR24iPlwd/O68Hvx8ar24WcXsKHyIiTpZfVst9H252rN3RLy6Uf13Sh66dgkyuTMQ1KHyIiDiJYRh8sCGXh/63ram1w9OD2ZNSuf7MJLw8PcwuT8RlKHyIiDjBgfJa/vzhFr49NIW2b2wI/7qkLymRau0QOZrCh4jIaTAMg4825vLgp9soP9TaMWtiCjeOSlZrh8hxKHyIiJyigvJa/vzRVr7ZcQCA3p2bWju6Ram1Q+S3KHyIiDSTYRh8smk/D3y6jbKaBrw9LcyakMrM0WrtEDkZCh8iIs1QUF7LXz7eyqLtTa0dvToH869L+tI9SvuyiJwshQ8RkZPQYLPzyooM5n+zm6p6G96eFu4Yn8JNY7vgrdYOkWZR+BAROYEVewt54NNt7C2oBJrW7Zh7UW/OiFZrh8ipUPgQETmO/aU1PPL5Dj7fkgdAWIAP957TnYsHxuLhoVVKRU6VwoeIyFHqGm289EM6//l2LzUNNjwscNWwBGZP7EaIv/ZkETldCh8iIr+wdPdBHvx0G+mFVQAMTuzAQ7/rRY8YdbGIOIvCh4gIkF1czT8+2+6YxRIRaOXP53bnwv6dtRGciJMpfIiIW6upt/H8sjSeXrKXukY7nh4WrhmRyKwJKdr2XqSFKHyIiFtqsNl5e202T367h4MVdQAMSw7j7+f3IlX7sYi0KIUPEXErdrvB/zbvZ97i3WQWVQMQ28GPe87pztQ+0epiEWkFCh8i4hYMw2DJroM89vUuduSVA03jOu44qyuXD47Hx0sLhYm0FoUPEWn31mUU89hXu/gxoxiAIKsXM8ckc+3IJAKs+jEo0tr0XSci7daOvHL+9fUuvt1ZAIDVy4MZIxK5eUwXOgT4mFydiPtS+BCRdmdnfjlPf7+P/23ej2GAp4eFSwfFcsdZKUSH+JldnojbU/gQkXZjfWYxT3+/z9HSATClTzR3T0wluWOgiZWJyC8pfIhIm2YYBkt2H+SZ7/c5xnRYLHBur2huHtuFXp1DTK5QRI6m8CEibZLNbvDFljyeWbKP7Ydmr3h7Wpg2IJaZY7qQFBFgcoUicjwKHyLSptQ22PhwQy7PLdvnWKfD38eT6UPiuX5UMlEhviZXKCInovAhIm1CdnE1b6zJ4p21WZRUNwDQwd+ba0YkcfXwBM1eEWlDFD5ExGXZ7QY/7C3ktVWZfLfzAHaj6XjnUD/+cGYSVwyJw99HP8ZE2hp914qIyymvbeD9dTm8vjqTtENb2wOc2TWCq4cncNYZkXh6aBl0kbZK4UNEXIJhGGzKLuW99Tl8vDGX6nob0LQa6bSBsVw1PIEumi4r0i4ofIiIqfLLavlwYw4frM9h38GfWzlSIwO5engiF/bvrCXQRdoZfUeLSKurbbDx9bZ83l+fw4q9hY6xHL7eHkzuFc2lg+IYlhymHWZF2imFDxFpFQ02Oyv3FfHF5jy+2JJHRV2j47khiWFcPDCWyb2jCPL1NrFKEWkNCh8i0mJ+GTi+3p5P6aEpsgCxHfy4aEAs0wZ0JiFcC4KJuBOFDxFxqtoGG6v2FfHl1jwWbT9wROCICPTh7J5RnNcnhqFJYXhoxoqIW1L4EJHTll9Wy3c7C/hu5wF+2FtIbYPd8dzhwDGlTzRDk8I1RVZEFD5EpPnqGm1szCrlhz2FfLezwLG3ymHRIb6cdUYnzu2twCEix1L4EJETstsNtueVs2JvISv2FfFjetERrRsWC/SPC2V8906M7x7JGdFBmqkiIsel8CEix6htsLE5p4y1GcWsyyhmfWYJ5bWNR7wmItCHEV0iGJ3akXHdOhIeaDWpWhFpaxQ+RNyc3W6QVljF5pxSfsouZVNOGTv2l1Nvsx/xugAfT4YlhzOiawRndo0gNTJQrRsickpaLHw8/fTTPP744+Tl5dGzZ0/mz5/PqFGjWurtROQklNU0sCu/gp355ezMr2BnXjm78iuoOrSU+S9FBFoZktSBQQlhDEkKo3tUEF6eHiZULSLtTYuEj3feeYdZs2bx9NNPM3LkSJ577jkmT57M9u3biY+Pb4m3FJFDbHaD/aU1ZBZVk15URUZhFemFVezKryC3tOZX/4yvtwe9YkLoExtK37gQ+sWFEh/mr5YNEWkRFsMwDGefdOjQoQwYMIBnnnnGceyMM87gggsuYO7cub/5Z8vLywkJCaGsrIzg4GBnlybSphmGQXlNI3nlNeSV1ZJXWkt+WQ37y2rJL6tlf1kNOSU11Dfaj3uOzqF+dI8KoltUEN2jg+keFURSRADeatUQkdPQnPu301s+6uvrWb9+Pffee+8RxydNmsTKlSuPeX1dXR11dXWOr8vLy495jYg7W5dRzPQX1/xmoDiaj6cHcWF+JEUEkBgeQGJEAN2igkiNDCLET8uXi4i5nB4+CgsLsdlsREZGHnE8MjKS/Pz8Y14/d+5cHnroIWeXIdJuvLM2+5jg0cHfm6gQP2JCfIkK8SUm1I+oYF+iQ32J6+BPTKif1tYQEZfVYgNOj+4rNgzjV/uP77vvPmbPnu34ury8nLi4uJYqS6TNuXtSNzoFW1mXUUJEoJXx3TsxbWCs2WWJiJwyp4ePiIgIPD09j2nlKCgoOKY1BMBqtWK1an0AkeOJCvHl/87ubnYZIiJO4/QRZj4+PgwcOJDFixcfcXzx4sWMGDHC2W8nIiIibUyLdLvMnj2bq666ikGDBjF8+HCef/55srKyuOmmm1ri7URERKQNaZHwcdlll1FUVMTf//538vLy6NWrF1988QUJCQkt8XYiIiLShrTIOh+nQ+t8iIiItD3NuX9rVSERERFpVQofIiIi0qoUPkRERKRVKXyIiIhIq1L4EBERkVal8CEiIiKtSuFDREREWpXCh4iIiLQqhQ8RERFpVS2yvPrpOLzganl5ucmViIiIyMk6fN8+mYXTXS58VFRUABAXF2dyJSIiItJcFRUVhISE/OZrXG5vF7vdzv79+wkKCsJisZhdzhHKy8uJi4sjOztb+84chz6jE9NndGL6jE5Mn9Fv0+dzYs7+jAzDoKKigpiYGDw8fntUh8u1fHh4eBAbG2t2Gb8pODhYF/MJ6DM6MX1GJ6bP6MT0Gf02fT4n5szP6EQtHodpwKmIiIi0KoUPERERaVUKH81gtVp54IEHsFqtZpfisvQZnZg+oxPTZ3Ri+ox+mz6fEzPzM3K5AaciIiLSvqnlQ0RERFqVwoeIiIi0KoUPERERaVUKHyIiItKqFD5O0iOPPMKIESPw9/cnNDT0V1+TlZXF1KlTCQgIICIigjvuuIP6+vrWLdSFJCYmYrFYjnjce++9ZpdlqqeffpqkpCR8fX0ZOHAgy5cvN7skl/Hggw8ec71ERUWZXZapli1bxtSpU4mJicFisfDxxx8f8bxhGDz44IPExMTg5+fH2LFj2bZtmznFmuREn9E111xzzHU1bNgwc4o1wdy5cxk8eDBBQUF06tSJCy64gF27dh3xGjOuI4WPk1RfX88ll1zCzTff/KvP22w2pkyZQlVVFT/88ANvv/02H3zwAXfffXcrV+pa/v73v5OXl+d4/OUvfzG7JNO88847zJo1i/vvv5+NGzcyatQoJk+eTFZWltmluYyePXsecb1s2bLF7JJMVVVVRd++fVmwYMGvPv/YY48xb948FixYwNq1a4mKimLixImOPbLcwYk+I4BzzjnniOvqiy++aMUKzbV06VJuvfVWVq9ezeLFi2lsbGTSpElUVVU5XmPKdWRIsyxcuNAICQk55vgXX3xheHh4GLm5uY5jb731lmG1Wo2ysrJWrNB1JCQkGP/+97/NLsNlDBkyxLjpppuOONa9e3fj3nvvNaki1/LAAw8Yffv2NbsMlwUYH330keNru91uREVFGf/85z8dx2pra42QkBDj2WefNaFC8x39GRmGYcyYMcM4//zzTanHFRUUFBiAsXTpUsMwzLuO1PLhJKtWraJXr17ExMQ4jp199tnU1dWxfv16Eysz16OPPkp4eDj9+vXjkUcecdtuqPr6etavX8+kSZOOOD5p0iRWrlxpUlWuZ8+ePcTExJCUlMTll19OWlqa2SW5rPT0dPLz84+4pqxWK2PGjNE1dZQlS5bQqVMnUlNTueGGGygoKDC7JNOUlZUBEBYWBph3HbncxnJtVX5+PpGRkUcc69ChAz4+PuTn55tUlbnuvPNOBgwYQIcOHfjxxx+57777SE9P58UXXzS7tFZXWFiIzWY75hqJjIx02+vjaEOHDuW1114jNTWVAwcO8PDDDzNixAi2bdtGeHi42eW5nMPXza9dU5mZmWaU5JImT57MJZdcQkJCAunp6fz1r39l/PjxrF+/3u1WPzUMg9mzZ3PmmWfSq1cvwLzryK1bPn5tgNvRj3Xr1p30+SwWyzHHDMP41eNtVXM+s7vuuosxY8bQp08frr/+ep599lleeuklioqKTP5bmOfoa6G9XR+nY/LkyUybNo3evXszYcIEPv/8cwBeffVVkytzbbqmfttll13GlClT6NWrF1OnTuXLL79k9+7djuvLndx2221s3ryZt95665jnWvs6cuuWj9tuu43LL7/8N1+TmJh4UueKiopizZo1RxwrKSmhoaHhmETZlp3OZ3Z4hPnevXvd7jfZiIgIPD09j2nlKCgoaFfXhzMFBATQu3dv9uzZY3YpLunwTKD8/Hyio6Mdx3VN/bbo6GgSEhLc7rq6/fbb+fTTT1m2bBmxsbGO42ZdR24dPiIiIoiIiHDKuYYPH84jjzxCXl6e4x9w0aJFWK1WBg4c6JT3cAWn85lt3LgR4IgL3F34+PgwcOBAFi9ezIUXXug4vnjxYs4//3wTK3NddXV17Nixg1GjRpldiktKSkoiKiqKxYsX079/f6BpbNHSpUt59NFHTa7OdRUVFZGdne02P4cMw+D222/no48+YsmSJSQlJR3xvFnXkVuHj+bIysqiuLiYrKwsbDYbmzZtAqBr164EBgYyadIkevTowVVXXcXjjz9OcXExf/zjH7nhhhsIDg42t3gTrFq1itWrVzNu3DhCQkJYu3Ytd911F7/73e+Ij483uzxTzJ49m6uuuopBgwYxfPhwnn/+ebKysrjpppvMLs0l/PGPf2Tq1KnEx8dTUFDAww8/THl5OTNmzDC7NNNUVlayd+9ex9fp6els2rSJsLAw4uPjmTVrFnPmzCElJYWUlBTmzJmDv78/06dPN7Hq1vVbn1FYWBgPPvgg06ZNIzo6moyMDP785z8TERFxxC8B7dmtt97Km2++ySeffEJQUJCj9TUkJAQ/Pz8sFos511GLzaNpZ2bMmGEAxzy+//57x2syMzONKVOmGH5+fkZYWJhx2223GbW1teYVbaL169cbQ4cONUJCQgxfX1+jW7duxgMPPGBUVVWZXZqpnnrqKSMhIcHw8fExBgwY4JjuJoZx2WWXGdHR0Ya3t7cRExNjXHTRRca2bdvMLstU33///a/+3JkxY4ZhGE3TJB944AEjKirKsFqtxujRo40tW7aYW3Qr+63PqLq62pg0aZLRsWNHw9vb24iPjzdmzJhhZGVlmV12q/m1zwYwFi5c6HiNGdeR5VBxIiIiIq3CrWe7iIiISOtT+BAREZFWpfAhIiIirUrhQ0RERFqVwoeIiIi0KoUPERERaVUKHyIiItKqFD5ERESkVSl8iIiISKtS+BAREZFWpfAhIiIirUrhQ0RERFrV/we7msm/I9/RGgAAAABJRU5ErkJggg==\n"
      },
      "metadata": {}
@@ -125,7 +125,7 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T23:52:07.253348</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#pe0350a0b57)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe0350a0b57\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:16:20.151335</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#p06085531e1)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p06085531e1\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -166,7 +166,7 @@
     "    init_coeffs=ode_coeffs,\n",
     "    dt=0.01,\n",
     "    solver=\"euler\",\n",
-    "    optimizer=torch.optim.Adam\n",
+    "    optimizer=None\n",
     ")"
    ]
   },
@@ -181,21 +181,21 @@
      "output_type": "stream",
      "name": "stdout",
      "text": [
-      "Loss:  tensor(235.4734, grad_fn=<MseLossBackward>)\n",
-      "Loss:  tensor(229.5995, grad_fn=<MseLossBackward>)\n",
-      "Loss:  tensor(241.3257, grad_fn=<MseLossBackward>)\n",
-      "Loss:  tensor(249.6300, grad_fn=<MseLossBackward>)\n",
-      "Loss:  tensor(245.2753, grad_fn=<MseLossBackward>)\n",
-      "Loss:  tensor(238.3391, grad_fn=<MseLossBackward>)\n",
-      "Loss:  tensor(232.0101, grad_fn=<MseLossBackward>)\n",
-      "Loss:  tensor(248.2782, grad_fn=<MseLossBackward>)\n",
-      "Loss:  tensor(234.6457, grad_fn=<MseLossBackward>)\n",
-      "Loss:  tensor(235.9567, grad_fn=<MseLossBackward>)\n"
+      "Epoch: 0\t Loss: tensor(244.7654, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 1\t Loss: tensor(235.4375, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 2\t Loss: tensor(229.1028, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 3\t Loss: tensor(226.1190, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 4\t Loss: tensor(232.3596, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 5\t Loss: tensor(244.8889, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 6\t Loss: tensor(246.5087, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 7\t Loss: tensor(248.6016, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 8\t Loss: tensor(244.2324, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 9\t Loss: tensor(227.9050, grad_fn=<MseLossBackward>)\n"
      ]
     }
    ],
    "source": [
-    "ode_solver.fit(result)"
+    "ode_solver.fit(result,torch.optim.Adam)"
    ]
   },
   {
@@ -208,11 +208,11 @@
      "data": {
       "text/plain": [
        "{'sigma': Parameter containing:\n",
-       " tensor(9.9782, requires_grad=True),\n",
+       " tensor(9.9751, requires_grad=True),\n",
        " 'rho': Parameter containing:\n",
-       " tensor(27.9222, requires_grad=True),\n",
+       " tensor(27.9216, requires_grad=True),\n",
        " 'beta': Parameter containing:\n",
-       " tensor(2.7742, requires_grad=True)}"
+       " tensor(2.7751, requires_grad=True)}"
       ]
      },
      "metadata": {},
@@ -250,13 +250,13 @@
      "output_type": "execute_result",
      "data": {
       "text/plain": [
-       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 9.0022e-01,  2.7922e-01,  0.0000e+00],\n",
-       "        [ 8.3825e-01,  5.2779e-01,  2.5136e-03],\n",
+       "tensor([[1.0000e+00, 0.0000e+00, 0.0000e+00],\n",
+       "        [9.0025e-01, 2.7922e-01, 0.0000e+00],\n",
+       "        [8.3830e-01, 5.2779e-01, 2.5136e-03],\n",
        "        ...,\n",
-       "        [-1.2071e+01, -1.2319e+01,  3.1191e+01],\n",
-       "        [-1.2096e+01, -1.1802e+01,  3.1813e+01],\n",
-       "        [-1.2067e+01, -1.1213e+01,  3.2358e+01]], grad_fn=<StackBackward>)"
+       "        [1.1217e+01, 1.0209e+01, 3.1372e+01],\n",
+       "        [1.1116e+01, 9.7200e+00, 3.1647e+01],\n",
+       "        [1.0977e+01, 9.2087e+00, 3.1849e+01]], grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
@@ -283,8 +283,8 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T23:54:37.640701</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"md798d12692\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.954837\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(26.402494 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"76.847635\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −15 -->\n      <g transform=\"translate(66.295291 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"116.740432\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −10 -->\n      <g transform=\"translate(106.188089 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"156.63323\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −5 -->\n      <g transform=\"translate(149.262136 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"196.526028\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0 -->\n      <g transform=\"translate(193.344778 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"236.418825\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5 -->\n      <g transform=\"translate(233.237575 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"276.311623\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(269.949123 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.20442\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 15 -->\n      <g transform=\"translate(309.84192 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"356.097218\" xlink:href=\"#md798d12692\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(349.734718 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf355b48b1d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf355b48b1d\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf355b48b1d\" y=\"216.321598\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.120817)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf355b48b1d\" y=\"171.427197\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.226416)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf355b48b1d\" y=\"126.532795\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 130.332014)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf355b48b1d\" y=\"81.638394\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 85.437613)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf355b48b1d\" y=\"36.743992\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 40.543211)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p9b8cd4cf53)\" d=\"M 204.504587 261.216 \nL 202.926532 261.158603 \nL 203.063565 261.125104 \nL 206.883245 260.687857 \nL 210.714415 260.146654 \nL 214.157568 259.529192 \nL 218.483441 258.570388 \nL 223.885839 257.082035 \nL 227.062963 256.054417 \nL 230.601138 254.776309 \nL 234.536185 253.188369 \nL 238.905844 251.21823 \nL 243.749064 248.778204 \nL 249.104884 245.762935 \nL 255.01077 242.047189 \nL 261.50016 237.484204 \nL 268.599072 231.905223 \nL 276.321377 225.121145 \nL 284.662519 216.927665 \nL 293.59139 207.115749 \nL 303.04012 195.48967 \nL 312.891926 181.895059 \nL 322.967534 166.258956 \nL 333.01152 148.642035 \nL 342.680955 129.299674 \nL 351.540387 108.742389 \nL 359.068238 87.777807 \nL 364.680658 67.508878 \nL 367.777652 49.260235 \nL 367.812273 34.41539 \nL 364.375981 24.175995 \nL 357.28397 19.296 \nL 346.636496 19.879255 \nL 332.832649 25.328206 \nL 316.524871 34.479834 \nL 298.522741 45.88276 \nL 279.673263 58.10812 \nL 260.751561 69.986767 \nL 242.387268 80.718958 \nL 225.034625 89.867658 \nL 208.979164 97.283068 \nL 194.366435 103.007642 \nL 181.238723 107.192944 \nL 169.570128 110.040203 \nL 159.295197 111.76404 \nL 150.329872 112.573357 \nL 142.585329 112.663233 \nL 135.976201 112.212635 \nL 130.424576 111.384737 \nL 125.861095 110.327746 \nL 122.224163 109.175484 \nL 119.458036 108.047182 \nL 117.510412 107.046638 \nL 116.32993 106.261092 \nL 115.863927 105.759904 \nL 116.0567 105.5938 \nL 116.848449 105.794618 \nL 118.174902 106.375972 \nL 119.967684 107.334849 \nL 122.155294 108.653899 \nL 127.42223 112.249695 \nL 133.401326 116.855403 \nL 139.573594 122.128128 \nL 145.516817 127.759075 \nL 148.302197 130.630584 \nL 150.924541 133.506957 \nL 153.363178 136.369244 \nL 155.603458 139.202246 \nL 157.635987 141.99394 \nL 159.455822 144.734933 \nL 161.061664 147.417904 \nL 162.455087 150.037124 \nL 163.639826 152.588037 \nL 164.62115 155.066928 \nL 165.405292 157.470618 \nL 165.998992 159.79625 \nL 166.409095 162.041064 \nL 166.642237 164.202287 \nL 166.704591 166.276964 \nL 166.601676 168.261851 \nL 166.338214 170.153307 \nL 165.918037 171.947189 \nL 165.344023 173.63877 \nL 164.618075 175.222595 \nL 163.741117 176.692396 \nL 162.713125 178.04098 \nL 161.533171 179.260084 \nL 160.199502 180.340254 \nL 158.709624 181.270693 \nL 157.060434 182.039147 \nL 155.248356 182.631736 \nL 153.269535 183.032849 \nL 151.120046 183.22501 \nL 148.796174 183.188815 \nL 146.294737 182.902907 \nL 143.613461 182.344039 \nL 140.75147 181.487241 \nL 137.709812 180.306114 \nL 134.492126 178.773375 \nL 131.105364 176.861608 \nL 127.560645 174.544342 \nL 123.874186 171.797509 \nL 120.068297 168.601311 \nL 116.172432 164.94256 \nL 112.22418 160.81743 \nL 108.270175 156.234645 \nL 104.366762 151.218868 \nL 100.580292 145.814059 \nL 96.986882 140.086454 \nL 93.671459 134.126639 \nL 90.725845 128.050078 \nL 88.245884 121.995514 \nL 86.327425 116.120738 \nL 85.061311 110.595423 \nL 84.52765 105.591163 \nL 84.789725 101.269522 \nL 85.888282 97.769237 \nL 87.836796 95.19445 \nL 90.618483 93.605702 \nL 94.185633 93.015288 \nL 98.461496 93.387844 \nL 103.344637 94.64608 \nL 108.715283 96.680563 \nL 114.442888 99.361821 \nL 120.393998 102.552762 \nL 126.439565 106.119735 \nL 132.461012 109.940907 \nL 138.354636 113.911623 \nL 144.034248 117.946757 \nL 149.432172 121.980709 \nL 154.498878 125.965681 \nL 159.201626 129.869006 \nL 163.522462 133.670158 \nL 167.455896 137.357843 \nL 171.006509 140.927419 \nL 174.186662 144.378741 \nL 177.014419 147.714533 \nL 179.511737 150.93916 \nL 181.702956 154.057769 \nL 183.613575 157.07573 \nL 185.269282 159.998275 \nL 186.69522 162.830309 \nL 187.915458 165.57632 \nL 188.952618 168.240358 \nL 189.827638 170.826045 \nL 191.165928 175.775015 \nL 192.06123 180.445424 \nL 192.616156 184.85558 \nL 192.908024 189.021016 \nL 192.992608 192.955309 \nL 192.907868 196.670519 \nL 192.511216 201.855765 \nL 192.080241 205.067617 \nL 191.514124 208.092377 \nL 190.801956 210.935778 \nL 189.925125 213.601383 \nL 188.857251 216.089869 \nL 187.563652 218.398018 \nL 186.000382 220.517193 \nL 184.112851 222.43111 \nL 183.027095 223.303142 \nL 181.834079 224.112574 \nL 180.523154 224.853528 \nL 179.082626 225.518744 \nL 177.499682 226.099299 \nL 175.76032 226.584293 \nL 173.849295 226.960441 \nL 171.750065 227.211628 \nL 169.444765 227.31836 \nL 166.914227 227.257148 \nL 164.13803 226.999783 \nL 161.09463 226.512527 \nL 157.761591 225.755224 \nL 154.115935 224.680356 \nL 150.134679 223.232061 \nL 145.795593 221.345254 \nL 141.078274 218.944894 \nL 135.965587 215.945656 \nL 130.4456 212.252238 \nL 124.514083 207.760709 \nL 118.177717 202.361385 \nL 111.458043 195.943899 \nL 104.396224 188.405153 \nL 97.058551 179.66094 \nL 89.542418 169.661804 \nL 81.982358 158.413217 \nL 74.555287 145.999267 \nL 67.48373 132.607448 \nL 61.03536 118.550229 \nL 55.516986 104.276668 \nL 51.260921 90.365815 \nL 48.602675 77.494074 \nL 47.850089 66.372201 \nL 49.246681 57.655843 \nL 52.93454 51.844116 \nL 58.924486 49.190362 \nL 67.08149 49.652092 \nL 77.130977 52.8984 \nL 88.686632 58.375489 \nL 101.294368 65.410602 \nL 114.482805 73.323569 \nL 140.895534 89.527316 \nL 153.443445 97.041388 \nL 165.242214 103.879605 \nL 176.160391 109.968292 \nL 186.133533 115.307208 \nL 195.149323 119.941037 \nL 203.233182 123.937569 \nL 216.823271 130.321351 \nL 227.450382 135.025087 \nL 235.713632 138.494529 \nL 242.162089 141.042805 \nL 247.25642 142.877951 \nL 251.362665 144.134775 \nL 254.7599 144.90078 \nL 257.652593 145.234931 \nL 260.183477 145.180805 \nL 262.445207 144.775787 \nL 264.490438 144.057666 \nL 266.340409 143.069213 \nL 267.992449 141.861266 \nL 269.42672 140.494238 \nL 270.612635 139.038009 \nL 271.515079 137.570101 \nL 272.100451 136.172151 \nL 272.342377 134.92497 \nL 272.226653 133.902753 \nL 272.034512 133.495945 \nL 271.754982 133.167292 \nL 271.391107 132.921767 \nL 270.428187 132.693462 \nL 269.192053 132.824244 \nL 267.743712 133.306174 \nL 266.15466 134.112416 \nL 264.501913 135.200953 \nL 262.862877 136.51901 \nL 261.310827 138.007478 \nL 259.911336 139.604669 \nL 258.719893 141.249205 \nL 257.780724 142.881933 \nL 257.12656 144.446936 \nL 256.779082 145.891982 \nL 256.749761 147.168603 \nL 257.040754 148.232059 \nL 257.64565 149.041392 \nL 258.549913 149.559843 \nL 259.730966 149.755669 \nL 261.157894 149.60354 \nL 262.790873 149.086553 \nL 264.58049 148.19886 \nL 266.467212 146.948741 \nL 268.381312 145.361868 \nL 270.243655 143.484181 \nL 271.96769 141.383703 \nL 273.463016 139.150415 \nL 274.640607 136.893433 \nL 275.419519 134.734924 \nL 275.734522 132.800961 \nL 275.703843 131.95586 \nL 275.543629 131.210115 \nL 275.253279 130.575431 \nL 274.834277 130.061646 \nL 274.29023 129.676486 \nL 273.626836 129.425395 \nL 272.851789 129.311465 \nL 271.974614 129.335407 \nL 271.006467 129.495645 \nL 268.848531 130.208227 \nL 266.48956 131.397891 \nL 264.048678 132.991135 \nL 261.643079 134.901464 \nL 259.38014 137.037615 \nL 257.351979 139.309797 \nL 255.6326 141.633604 \nL 254.277371 143.931722 \nL 253.32419 146.134082 \nL 252.795703 148.177016 \nL 252.701801 150.001999 \nL 252.818013 150.815554 \nL 253.041974 151.554355 \nL 253.372283 152.212005 \nL 253.807065 152.782261 \nL 254.343987 153.259011 \nL 254.980236 153.636328 \nL 255.712521 153.908466 \nL 256.537026 154.069929 \nL 257.44937 154.115543 \nL 258.444544 154.040524 \nL 259.516858 153.840614 \nL 261.866242 153.052439 \nL 264.435327 151.732763 \nL 267.146136 149.882315 \nL 269.903116 147.527749 \nL 272.592765 144.728717 \nL 275.085509 141.583511 \nL 277.240736 138.231304 \nL 278.146901 136.531546 \nL 278.915572 134.848717 \nL 279.53058 133.208968 \nL 279.977324 131.639006 \nL 280.243272 130.165386 \nL 280.318449 128.813668 \nL 280.195861 127.607657 \nL 279.871872 126.568571 \nL 279.346482 125.714377 \nL 278.623472 125.059176 \nL 277.710421 124.612824 \nL 276.618591 124.380683 \nL 275.36265 124.363643 \nL 273.960306 124.558279 \nL 272.431798 124.957217 \nL 270.799298 125.54966 \nL 269.086326 126.321985 \nL 267.317079 127.258392 \nL 263.706321 129.553368 \nL 260.152186 132.289009 \nL 256.817785 135.321639 \nL 253.835432 138.520038 \nL 251.30368 141.770182 \nL 249.289002 144.975449 \nL 247.830462 148.054172 \nL 247.315933 149.523725 \nL 246.945739 150.93588 \nL 246.719738 152.282923 \nL 246.637173 153.557386 \nL 246.696793 154.751932 \nL 246.896962 155.859255 \nL 247.23575 156.872035 \nL 247.710971 157.782857 \nL 248.320235 158.584176 \nL 249.060931 159.268277 \nL 249.930216 159.827273 \nL 250.92496 160.253116 \nL 252.041683 160.537628 \nL 253.276448 160.672554 \nL 254.624746 160.649657 \nL 256.081357 160.460861 \nL 257.640183 160.098418 \nL 259.294075 159.555126 \nL 261.034645 158.824631 \nL 262.852049 157.901719 \nL 264.734815 156.782724 \nL 266.669618 155.465994 \nL 268.641134 153.952351 \nL 270.631863 152.245631 \nL 272.622067 150.353241 \nL 274.589703 148.286665 \nL 276.510505 146.061973 \nL 278.35814 143.700189 \nL 280.10447 141.227533 \nL 281.720009 138.675455 \nL 283.17449 136.080417 \nL 284.437575 133.483358 \nL 285.479765 130.928831 \nL 286.273363 128.463787 \nL 286.793572 126.136084 \nL 287.019565 123.992706 \nL 286.93557 122.07789 \nL 286.531786 120.431204 \nL 285.805162 119.085797 \nL 284.759829 118.066972 \nL 283.407301 117.391134 \nL 281.766256 117.065314 \nL 279.862018 117.08727 \nL 277.725685 117.446074 \nL 275.393002 118.123264 \nL 272.903043 119.094206 \nL 270.296818 120.329768 \nL 267.615874 121.797985 \nL 264.900987 123.465615 \nL 262.191007 125.299545 \nL 259.52194 127.267889 \nL 256.926228 129.340793 \nL 254.432304 131.491013 \nL 252.064373 133.694143 \nL 249.842374 135.92869 \nL 247.782149 138.175971 \nL 245.895704 140.419894 \nL 244.191586 142.646667 \nL 242.675313 144.84447 \nL 241.349826 147.00315 \nL 240.215952 149.11386 \nL 239.272835 151.168809 \nL 238.518354 153.160957 \nL 237.949487 155.083822 \nL 237.562636 156.931231 \nL 237.353904 158.697164 \nL 237.319317 160.3756 \nL 237.455012 161.960358 \nL 237.757372 163.44499 \nL 238.223123 164.822654 \nL 238.849385 166.08602 \nL 239.633693 167.227184 \nL 240.573988 168.237558 \nL 241.668565 169.107825 \nL 242.915995 169.827865 \nL 244.315014 170.386699 \nL 245.864378 170.772493 \nL 247.562684 170.972548 \nL 249.408154 170.973362 \nL 251.398385 170.760727 \nL 253.53005 170.319891 \nL 255.798582 169.635833 \nL 258.197774 168.693619 \nL 260.719383 167.478857 \nL 263.352672 165.978349 \nL 266.083927 164.180862 \nL 268.895988 162.078081 \nL 271.767757 159.665733 \nL 274.673744 156.944863 \nL 277.583717 153.92322 \nL 280.462463 150.616714 \nL 283.269701 147.050811 \nL 285.960278 143.261742 \nL 288.48466 139.297372 \nL 290.789783 135.217513 \nL 292.820322 131.093479 \nL 294.520404 127.006736 \nL 295.835725 123.046477 \nL 296.716019 119.306181 \nL 297.117734 115.879212 \nL 297.006727 112.85381 \nL 296.360796 110.307897 \nL 295.1717 108.304189 \nL 293.446523 106.886271 \nL 291.208123 106.076167 \nL 288.494597 105.873551 \nL 285.357695 106.256913 \nL 281.860432 107.186333 \nL 278.073977 108.607505 \nL 274.074204 110.456516 \nL 269.938201 112.664621 \nL 265.741014 115.162649 \nL 261.552867 117.884624 \nL 257.43702 120.77039 \nL 253.448326 123.767184 \nL 249.632447 126.83034 \nL 246.02568 129.923218 \nL 242.65529 133.016644 \nL 239.54019 136.088038 \nL 236.691884 139.120376 \nL 234.115521 142.10114 \nL 231.811018 145.021346 \nL 229.774137 147.874702 \nL 227.997501 150.656874 \nL 226.471511 153.364892 \nL 225.185141 155.996707 \nL 224.126611 158.550832 \nL 223.283952 161.026066 \nL 222.645455 163.421305 \nL 222.200016 165.735393 \nL 221.937412 167.966969 \nL 221.848492 170.114423 \nL 221.925312 172.17576 \nL 222.161216 174.148564 \nL 222.550883 176.029899 \nL 223.090344 177.81622 \nL 223.776963 179.503288 \nL 224.609408 181.086076 \nL 225.587607 182.558643 \nL 226.712681 183.914 \nL 227.986875 185.143988 \nL 229.413465 186.239092 \nL 230.996663 187.188284 \nL 232.741478 187.978848 \nL 234.653591 188.596158 \nL 236.739162 189.023508 \nL 239.004619 189.241905 \nL 241.456397 189.229909 \nL 244.100613 188.963507 \nL 246.942665 188.416045 \nL 249.986742 187.558288 \nL 253.235238 186.358579 \nL 256.688037 184.783283 \nL 260.341679 182.797429 \nL 264.188356 180.365797 \nL 268.21479 177.454393 \nL 272.400974 174.032519 \nL 276.718785 170.07547 \nL 281.13059 165.567902 \nL 285.587865 160.507872 \nL 290.030007 154.911399 \nL 294.383497 148.817361 \nL 298.561661 142.292144 \nL 302.465294 135.433539 \nL 305.98441 128.372849 \nL 309.001418 121.27437 \nL 311.395824 114.331206 \nL 313.050489 107.756813 \nL 313.859206 101.772131 \nL 313.735005 96.589146 \nL 312.618377 92.392523 \nL 310.484318 89.322063 \nL 307.347096 87.458821 \nL 303.261822 86.817612 \nL 298.32226 87.34752 \nL 292.655018 88.940276 \nL 286.410735 91.444984 \nL 279.753553 94.686086 \nL 272.850191 98.481621 \nL 265.859988 102.658668 \nL 258.926936 107.064552 \nL 252.174174 111.57307 \nL 245.701098 116.086418 \nL 239.582721 120.53366 \nL 233.87084 124.86722 \nL 228.596378 129.058388 \nL 223.772447 133.092751 \nL 219.39761 136.966038 \nL 215.459103 140.680696 \nL 211.935769 144.243224 \nL 208.800626 147.662239 \nL 206.022999 150.947132 \nL 203.570255 154.107203 \nL 201.409146 157.151187 \nL 199.506827 160.086961 \nL 197.831584 162.921478 \nL 195.043909 168.310017 \nL 192.829496 173.355311 \nL 191.00532 178.085062 \nL 185.737586 192.382303 \nL 184.133965 195.84906 \nL 182.337663 199.035296 \nL 180.274693 201.925224 \nL 179.119594 203.251112 \nL 177.868895 204.491606 \nL 176.512151 205.640841 \nL 175.038378 206.691623 \nL 173.435968 207.635232 \nL 171.692638 208.461144 \nL 169.795391 209.156723 \nL 167.730492 209.706895 \nL 165.483493 210.093747 \nL 163.039286 210.296089 \nL 160.382215 210.288977 \nL 157.496252 210.043209 \nL 154.365277 209.5248 \nL 150.973459 208.694483 \nL 147.305794 207.507259 \nL 143.348822 205.912106 \nL 139.091578 203.851925 \nL 134.526819 201.263866 \nL 129.652565 198.080217 \nL 124.474037 194.23014 \nL 119.005966 189.6425 \nL 113.275341 184.250147 \nL 107.324558 177.995973 \nL 101.214771 170.841022 \nL 95.029374 162.774735 \nL 88.877114 153.82705 \nL 82.894397 144.081608 \nL 77.246032 133.688423 \nL 72.123521 122.873591 \nL 67.739984 111.942731 \nL 64.320918 101.274471 \nL 62.09034 91.30075 \nL 61.252854 82.472766 \nL 61.972889 75.214571 \nL 64.354017 69.870791 \nL 68.421669 66.658614 \nL 74.113223 65.635584 \nL 81.278127 66.692283 \nL 89.689255 69.572869 \nL 99.063745 73.91835 \nL 109.089727 79.321625 \nL 119.454087 85.381044 \nL 129.866627 91.741844 \nL 149.887914 104.311742 \nL 175.694712 120.730804 \nL 189.417536 129.64804 \nL 200.476112 137.142905 \nL 209.255747 143.491339 \nL 216.220215 148.928636 \nL 221.826027 153.620546 \nL 230.531341 161.120087 \nL 234.257842 163.987606 \nL 236.071857 165.197059 \nL 237.884951 166.251096 \nL 239.717391 167.14355 \nL 241.586754 167.86698 \nL 243.508097 168.412738 \nL 245.494097 168.771071 \nL 247.555102 168.931232 \nL 249.699166 168.881627 \nL 251.932008 168.609977 \nL 254.256914 168.103591 \nL 256.674589 167.349694 \nL 259.182954 166.335852 \nL 261.77689 165.050522 \nL 264.447935 163.483746 \nL 267.183968 161.627945 \nL 269.968858 159.478916 \nL 272.782167 157.036915 \nL 275.59887 154.307875 \nL 278.389162 151.304668 \nL 281.118431 148.048358 \nL 283.74739 144.569318 \nL 286.232465 140.908084 \nL 288.526509 137.115803 \nL 290.579829 133.254086 \nL 292.34159 129.394089 \nL 293.761602 125.614773 \nL 294.792394 122.000198 \nL 295.39156 118.636047 \nL 295.524169 115.605404 \nL 295.165072 112.984257 \nL 294.300924 110.837069 \nL 292.931687 109.212922 \nL 291.071398 108.142693 \nL 288.74815 107.637566 \nL 286.003154 107.689234 \nL 282.888987 108.271428 \nL 279.46716 109.342907 \nL 275.805232 110.851232 \nL 271.973716 112.736909 \nL 268.043041 114.937496 \nL 264.080833 117.391168 \nL 260.149656 120.039613 \nL 256.305326 122.829989 \nL 252.595824 125.716106 \nL 249.060772 128.658842 \nL 245.731435 131.625999 \nL 242.631086 134.591752 \nL 239.775687 137.535866 \nL 237.174751 140.442835 \nL 234.832295 143.300977 \nL 232.747835 146.101637 \nL 230.917336 148.838434 \nL 229.334093 151.506676 \nL 227.989542 154.10287 \nL 226.873952 156.624293 \nL 225.977006 159.0687 \nL 225.288299 161.434089 \nL 224.797726 163.718507 \nL 224.495791 165.91989 \nL 224.373841 168.035952 \nL 224.424233 170.064082 \nL 224.640453 172.001256 \nL 225.017179 173.843921 \nL 225.550325 175.587923 \nL 226.237038 177.228409 \nL 227.075677 178.7597 \nL 228.065774 180.175195 \nL 229.207974 181.467238 \nL 230.503957 182.626958 \nL 231.95633 183.644148 \nL 233.568529 184.507094 \nL 235.344662 185.202413 \nL 237.289357 185.71487 \nL 239.407532 186.027254 \nL 241.704175 186.120222 \nL 244.184026 185.972194 \nL 246.851225 185.559341 \nL 249.708856 184.855614 \nL 252.758446 183.832935 \nL 255.999317 182.461548 \nL 259.427852 180.710626 \nL 263.036642 178.549155 \nL 266.813511 175.947224 \nL 270.740428 172.877731 \nL 274.792337 169.318645 \nL 278.935949 165.255792 \nL 283.128585 160.686203 \nL 287.31712 155.621899 \nL 291.437259 150.093973 \nL 295.413246 144.156516 \nL 299.158286 137.890037 \nL 302.575837 131.403577 \nL 305.562083 124.834827 \nL 308.009607 118.347459 \nL 309.812425 112.12507 \nL 310.872131 106.361552 \nL 311.104813 101.248252 \nL 310.448138 96.959081 \nL 308.867767 93.635432 \nL 306.362217 91.373124 \nL 302.965301 90.213789 \nL 298.74566 90.142117 \nL 293.80317 91.089777 \nL 288.262585 92.945089 \nL 282.265198 95.566715 \nL 275.959656 98.798792 \nL 269.492933 102.485201 \nL 263.002554 106.481022 \nL 256.610624 110.660279 \nL 250.419992 114.919873 \nL 244.512489 119.180203 \nL 238.948907 123.383496 \nL 233.770318 127.490713 \nL 229.000269 131.47786 \nL 224.647434 135.332359 \nL 220.708424 139.049775 \nL 217.170485 142.631151 \nL 214.013958 146.080897 \nL 211.214429 149.405283 \nL 208.744511 152.611363 \nL 206.575309 155.706279 \nL 204.677543 158.696872 \nL 203.022417 161.589421 \nL 201.582234 164.389592 \nL 200.330825 167.102413 \nL 198.29876 172.283164 \nL 196.754643 177.161096 \nL 195.557742 181.759294 \nL 194.173313 188.171933 \nL 191.554059 201.110256 \nL 190.273236 205.86742 \nL 189.26376 208.791103 \nL 188.082545 211.517796 \nL 186.684881 214.043783 \nL 185.019787 216.359382 \nL 183.027733 218.446579 \nL 181.88758 219.395801 \nL 180.638296 220.275586 \nL 179.268985 221.079559 \nL 177.767766 221.799881 \nL 176.121713 222.426957 \nL 174.316787 222.949112 \nL 172.337787 223.352186 \nL 170.16832 223.619079 \nL 167.790798 223.729207 \nL 165.186476 223.657891 \nL 162.335546 223.375648 \nL 159.217316 222.84744 \nL 155.81049 222.031825 \nL 152.093588 220.880107 \nL 148.045563 219.335505 \nL 143.646663 217.332452 \nL 138.879601 214.796151 \nL 133.731105 211.642601 \nL 128.193991 207.779385 \nL 122.26974 203.107614 \nL 115.971792 197.52551 \nL 109.329485 190.934252 \nL 102.392728 183.246709 \nL 95.237167 174.399672 \nL 87.969679 164.369863 \nL 80.733501 153.193479 \nL 73.712193 140.987985 \nL 67.131161 127.973311 \nL 61.255213 114.487822 \nL 56.380297 100.9927 \nL 52.818123 88.057421 \nL 50.872956 76.32061 \nL 50.811598 66.425017 \nL 52.82981 58.933021 \nL 57.020636 54.238584 \nL 63.351691 52.497553 \nL 71.657732 53.598009 \nL 81.652305 57.182108 \nL 92.957306 62.714581 \nL 105.144656 69.577785 \nL 117.781169 77.166508 \nL 142.867564 92.561641 \nL 154.719268 99.704595 \nL 165.839794 106.238503 \nL 176.117165 112.102773 \nL 185.498915 117.298963 \nL 201.58433 125.864759 \nL 219.716041 135.08984 \nL 235.57416 142.907819 \nL 243.511231 146.582813 \nL 247.67484 148.243901 \nL 251.269478 149.346138 \nL 252.919094 149.697801 \nL 254.497064 149.919735 \nL 256.018964 150.013619 \nL 257.497082 149.980857 \nL 258.940704 149.822854 \nL 260.356353 149.541228 \nL 261.747991 149.138034 \nL 263.117244 148.616003 \nL 265.784416 147.23077 \nL 268.330666 145.427768 \nL 270.702512 143.271075 \nL 272.826329 140.849967 \nL 274.615687 138.279454 \nL 275.980177 135.696849 \nL 276.835742 133.253794 \nL 277.050855 132.132967 \nL 277.115683 131.104037 \nL 277.026324 130.184079 \nL 276.781156 129.388386 \nL 276.381009 128.730051 \nL 275.829254 128.219598 \nL 275.131825 127.864733 \nL 274.297146 127.670201 \nL 273.335969 127.63773 \nL 272.261129 127.766122 \nL 271.087259 128.051431 \nL 269.830428 128.487224 \nL 267.137013 129.774257 \nL 264.323186 131.539899 \nL 261.52934 133.681085 \nL 258.883713 136.090024 \nL 256.495402 138.662311 \nL 254.450893 141.301748 \nL 252.813676 143.92214 \nL 251.626178 146.447048 \nL 250.912919 148.808241 \nL 250.684121 150.94363 \nL 250.751506 151.908415 \nL 250.939006 152.795209 \nL 251.24522 153.597135 \nL 251.668327 154.307379 \nL 252.20609 154.919183 \nL 252.855871 155.42586 \nL 253.614612 155.820782 \nL 254.478802 156.097442 \nL 255.444416 156.249494 \nL 256.506853 156.270824 \nL 257.660857 156.155678 \nL 258.900411 155.898773 \nL 260.218646 155.495485 \nL 261.607713 154.942012 \nL 263.058686 154.235621 \nL 264.561437 153.374919 \nL 266.10454 152.360118 \nL 269.259133 149.878898 \nL 272.402587 146.837509 \nL 273.9264 145.133058 \nL 275.392325 143.326426 \nL 276.779596 141.437016 \nL 278.066733 139.487537 \nL 279.231952 137.503824 \nL 280.253613 135.514493 \nL 281.110784 133.550389 \nL 281.783864 131.643887 \nL 282.255215 129.828015 \nL 282.509833 128.135433 \nL 282.536008 126.597343 \nL 282.325872 125.242397 \nL 281.875894 124.095632 \nL 281.187208 123.177566 \nL 280.26578 122.503459 \nL 279.122368 122.082865 \nL 277.772312 121.919467 \nL 276.235115 122.011176 \nL 274.533853 122.350567 \nL 272.694466 122.925474 \nL 270.744925 123.719822 \nL 268.714424 124.714509 \nL 266.632502 125.888358 \nL 264.528262 127.218994 \nL 260.363026 130.259861 \nL 256.419259 133.66163 \nL 252.858565 137.267187 \nL 249.799315 140.944031 \nL 247.318901 144.584063 \nL 246.310274 146.362241 \nL 245.460172 148.099659 \nL 244.769919 149.787677 \nL 244.239724 151.418221 \nL 243.868928 152.98367 \nL 243.656212 154.476685 \nL 243.599784 155.890073 \nL 243.697525 157.216685 \nL 243.947121 158.449301 \nL 244.34615 159.580541 \nL 244.89213 160.602809 \nL 245.582562 161.508193 \nL 246.414905 162.288447 \nL 247.386563 162.934956 \nL 248.494807 163.438713 \nL 249.736686 163.790359 \nL 251.108914 163.980207 \nL 252.607709 163.998335 \nL 254.228632 163.834697 \nL 255.966371 163.479319 \nL 257.814523 162.922506 \nL 259.765343 162.155165 \nL 261.809471 161.169178 \nL 263.93567 159.957858 \nL 266.130532 158.516503 \nL 268.378207 156.843016 \nL 270.660161 154.938604 \nL 272.954981 152.808532 \nL 275.238244 150.462907 \nL 277.482472 147.917397 \nL 279.657239 145.193941 \nL 281.729414 142.321224 \nL 283.663593 139.334946 \nL 285.422759 136.277775 \nL 286.969133 133.198838 \nL 288.265271 130.15279 \nL 289.275359 127.198315 \nL 289.966624 124.396165 \nL 290.310884 121.806779 \nL 290.28601 119.487621 \nL 289.877333 117.49043 \nL 289.078759 115.858644 \nL 287.893551 114.62524 \nL 286.334646 113.811179 \nL 284.424465 113.424683 \nL 282.194244 113.46135 \nL 279.682835 113.905098 \nL 276.935153 114.729845 \nL 274.000344 115.901647 \nL 270.929845 117.38115 \nL 267.775434 119.125992 \nL 264.587483 121.093024 \nL 261.413403 123.240196 \nL 258.29647 125.527987 \nL 255.274961 127.920409 \nL 252.381662 130.385513 \nL 249.643693 132.895599 \nL 247.082594 135.427083 \nL 244.714647 137.960219 \nL 242.55134 140.478653 \nL 240.599927 142.968958 \nL 238.864056 145.420113 \nL 237.344404 147.823059 \nL 236.039291 150.170252 \nL 234.94525 152.455286 \nL 234.057556 154.672562 \nL 233.370681 156.817036 \nL 232.878683 158.883964 \nL 232.575546 160.868713 \nL 232.455435 162.766601 \nL 232.512909 164.572736 \nL 232.743084 166.281905 \nL 233.141731 167.888439 \nL 233.705353 169.386103 \nL 234.431208 170.768014 \nL 235.317316 172.026491 \nL 236.362405 173.152987 \nL 237.565866 174.137971 \nL 238.927643 174.970828 \nL 240.448117 175.639781 \nL 242.12794 176.131798 \nL 243.967848 176.432571 \nL 245.968427 176.526463 \nL 248.129847 176.396564 \nL 250.451524 176.02477 \nL 252.931751 175.391969 \nL 255.567266 174.478348 \nL 258.352757 173.263816 \nL 261.2803 171.728621 \nL 264.338731 169.854187 \nL 267.513001 167.624178 \nL 270.783479 165.025826 \nL 274.12523 162.051545 \nL 277.507369 158.700803 \nL 280.892498 154.982197 \nL 284.236288 150.915672 \nL 287.487355 146.534621 \nL 290.587476 141.887786 \nL 293.472287 137.040552 \nL 296.072538 132.075339 \nL 298.316006 127.090773 \nL 300.130093 122.199269 \nL 301.445049 117.522917 \nL 302.197672 113.187696 \nL 302.335356 109.316242 \nL 301.819964 106.019926 \nL 300.631317 103.390953 \nL 298.769743 101.4956 \nL 296.257352 100.369558 \nL 293.137813 100.015978 \nL 289.474516 100.406704 \nL 285.347286 101.48625 \nL 280.847971 103.17813 \nL 276.075365 105.39228 \nL 271.130044 108.032693 \nL 266.109554 111.004269 \nL 261.10435 114.218278 \nL 256.194772 117.595985 \nL 251.449102 121.070701 \nL 246.922654 124.588274 \nL 242.657778 128.10649 \nL 238.684557 131.593785 \nL 235.021986 135.027596 \nL 231.679452 138.392596 \nL 228.658327 141.67903 \nL 225.95357 144.8813 \nL 223.555238 147.996724 \nL 221.449835 151.024592 \nL 219.621503 153.96547 \nL 218.053022 156.820632 \nL 216.72662 159.591733 \nL 215.624638 162.280509 \nL 214.730023 164.888665 \nL 214.026713 167.417735 \nL 213.499896 169.869018 \nL 213.136198 172.243578 \nL 212.92379 174.542184 \nL 212.852443 176.7653 \nL 212.913543 178.913071 \nL 213.100074 180.985291 \nL 213.406586 182.981386 \nL 213.829135 184.900373 \nL 214.365243 186.740785 \nL 215.013825 188.500638 \nL 215.775141 190.177354 \nL 216.650733 191.767648 \nL 217.643375 193.26744 \nL 218.757028 194.67173 \nL 219.99679 195.974434 \nL 221.368852 197.168231 \nL 222.880457 198.244351 \nL 224.539838 199.192361 \nL 226.356164 199.999909 \nL 228.33946 200.652439 \nL 230.500506 201.132875 \nL 232.850693 201.421291 \nL 235.401851 201.494551 \nL 238.165995 201.325956 \nL 241.155003 200.884901 \nL 244.380196 200.136578 \nL 247.851774 199.041803 \nL 251.578127 197.55697 \nL 255.564923 195.634285 \nL 259.814014 193.222361 \nL 264.322068 190.267329 \nL 269.07893 186.714651 \nL 274.065743 182.511847 \nL 279.252747 177.612294 \nL 284.596914 171.980328 \nL 290.039518 165.597736 \nL 295.503762 158.471548 \nL 300.892882 150.64278 \nL 306.089017 142.195435 \nL 310.953455 133.264498 \nL 315.328798 124.041206 \nL 319.043585 114.773447 \nL 321.919912 105.759099 \nL 323.783989 97.330575 \nL 324.479364 89.830341 \nL 323.881612 83.579062 \nL 321.912744 78.840492 \nL 318.553051 75.789503 \nL 313.848005 74.489925 \nL 307.908492 74.887793 \nL 300.903649 76.821953 \nL 293.047236 80.049782 \nL 284.57952 84.281975 \nL 275.747792 89.21876 \nL 266.788333 94.580711 \nL 257.912146 100.129745 \nL 241.076327 111.095978 \nL 226.187329 121.221819 \nL 213.631803 130.218322 \nL 208.234084 134.298651 \nL 203.390419 138.123703 \nL 199.062756 141.715226 \nL 195.206796 145.094979 \nL 191.774922 148.283145 \nL 188.718416 151.297535 \nL 183.540387 156.862693 \nL 179.311191 161.879678 \nL 170.922287 172.293543 \nL 167.821261 175.619127 \nL 166.23237 177.090272 \nL 164.5929 178.425823 \nL 162.886042 179.618168 \nL 161.096327 180.658204 \nL 159.209494 181.535253 \nL 157.212393 182.236925 \nL 155.092951 182.749014 \nL 152.840189 183.055413 \nL 150.444295 183.138011 \nL 147.896778 182.976685 \nL 145.190697 182.549301 \nL 142.320975 181.831865 \nL 139.284815 180.798765 \nL 136.082221 179.423199 \nL 132.716612 177.677851 \nL 129.195572 175.535835 \nL 125.531688 172.971992 \nL 121.74349 169.964589 \nL 117.856429 166.497477 \nL 113.903878 162.562675 \nL 109.928058 158.163419 \nL 105.980818 153.317487 \nL 102.124063 148.060646 \nL 98.429752 142.449839 \nL 94.979239 136.565721 \nL 91.861754 130.51388 \nL 89.171931 124.424226 \nL 87.006226 118.447859 \nL 85.458285 112.751089 \nL 84.613425 107.506536 \nL 84.542632 102.881853 \nL 85.296557 99.026994 \nL 86.900287 96.061823 \nL 89.349546 94.065668 \nL 92.609029 93.070724 \nL 96.61323 93.060517 \nL 101.269837 93.973599 \nL 106.465379 95.711874 \nL 112.072419 98.152102 \nL 117.95743 101.158444 \nL 123.988457 104.594301 \nL 130.041778 108.331899 \nL 136.007021 112.258926 \nL 141.790514 116.282081 \nL 147.316938 120.327858 \nL 152.529462 124.341482 \nL 157.388734 128.284514 \nL 161.871089 132.131905 \nL 165.966317 135.869007 \nL 169.675262 139.488822 \nL 173.00747 142.989663 \nL 175.979001 146.373321 \nL 178.610514 149.643666 \nL 180.925627 152.805664 \nL 182.949578 155.864676 \nL 184.708147 158.826053 \nL 186.226842 161.694882 \nL 187.530281 164.475838 \nL 188.641767 167.173169 \nL 189.582994 169.790685 \nL 191.032525 174.799535 \nL 192.016094 179.525637 \nL 192.642208 183.988053 \nL 192.993383 188.20288 \nL 193.129846 192.184114 \nL 193.09333 195.944199 \nL 192.769134 201.193701 \nL 192.153401 206.002881 \nL 191.579073 208.97739 \nL 190.86067 211.77337 \nL 189.978647 214.394225 \nL 188.905868 216.840482 \nL 187.60699 219.108746 \nL 186.037436 221.190167 \nL 184.141965 223.068184 \nL 183.051395 223.922854 \nL 181.852872 224.715237 \nL 180.535637 225.43938 \nL 179.087875 226.087934 \nL 177.496642 226.651867 \nL 175.747798 227.120137 \nL 173.825936 227.479292 \nL 171.714342 227.713007 \nL 169.39497 227.801532 \nL 166.848449 227.721058 \nL 164.054149 227.442983 \nL 160.990304 226.933097 \nL 157.634248 226.150668 \nL 153.962783 225.047479 \nL 149.952715 223.566846 \nL 145.581637 221.642709 \nL 140.82902 219.198913 \nL 135.677691 216.148871 \nL 130.115805 212.395912 \nL 124.139403 207.834684 \nL 117.755687 202.354149 \nL 110.987056 195.842801 \nL 103.87597 188.196894 \nL 96.490536 179.332406 \nL 88.93062 169.201332 \nL 81.333924 157.812382 \nL 73.881264 145.255166 \nL 66.7997 131.725355 \nL 60.361877 117.54626 \nL 54.879493 103.179877 \nL 50.689109 89.218948 \nL 48.128972 76.352019 \nL 47.50726 65.297571 \nL 49.064644 56.71178 \nL 52.936868 51.085303 \nL 59.125225 48.65434 \nL 67.48303 49.353297 \nL 77.723577 52.826832 \nL 89.449794 58.500268 \nL 102.199742 65.687218 \nL 115.497899 73.702307 \nL 142.033844 89.974849 \nL 154.602288 97.471863 \nL 166.40106 104.270982 \nL 177.304077 110.306339 \nL 187.251705 115.583723 \nL 196.235617 120.152044 \nL 204.284304 124.081863 \nL 217.802282 130.334564 \nL 228.361892 134.914557 \nL 236.564358 138.269221 \nL 242.956783 140.712421 \nL 247.996071 142.453359 \nL 252.044053 143.628766 \nL 255.375935 144.328665 \nL 258.193068 144.614941 \nL 260.63605 144.534236 \nL 262.796557 144.126846 \nL 264.727541 143.432975 \nL 266.451911 142.496944 \nL 267.970101 141.369823 \nL 269.266765 140.110542 \nL 270.317073 138.785531 \nL 271.092646 137.466695 \nL 271.567125 136.22811 \nL 271.721244 135.14156 \nL 271.54706 134.271516 \nL 271.051017 133.670321 \nL 270.25538 133.374292 \nL 269.198048 133.401359 \nL 267.930656 133.750556 \nL 266.515316 134.403367 \nL 265.020485 135.326451 \nL 263.516524 136.475288 \nL 262.071524 137.798003 \nL 260.747871 139.238878 \nL 259.5997 140.741184 \nL 258.671401 142.249261 \nL 257.997012 143.709823 \nL 257.600285 145.072672 \nL 257.495198 146.291023 \nL 257.686617 147.321683 \nL 258.170934 148.125211 \nL 258.936516 148.66637 \nL 259.96386 148.914832 \nL 261.225485 148.846397 \nL 262.685596 148.444659 \nL 264.299598 147.703255 \nL 266.013826 146.628377 \nL 267.765558 145.241533 \nL 269.483719 143.581884 \nL 271.09066 141.707861 \nL 272.505102 139.697141 \nL 273.646528 137.644513 \nL 274.440811 135.657057 \nL 274.826653 133.846743 \nL 274.852379 133.042068 \nL 274.762099 132.321086 \nL 274.554504 131.694888 \nL 274.230073 131.173072 \nL 273.791159 130.763498 \nL 273.24193 130.472136 \nL 272.588359 130.302941 \nL 271.83811 130.257814 \nL 271.000365 130.336628 \nL 269.1056 130.855978 \nL 267.000052 131.82388 \nL 264.789105 133.181061 \nL 262.579269 134.853632 \nL 260.470829 136.760433 \nL 258.55237 138.819012 \nL 256.897386 140.949803 \nL 255.563001 143.078444 \nL 254.590292 145.13656 \nL 254.005731 147.061566 \nL 253.823098 148.79591 \nL 254.045454 150.286117 \nL 254.306928 150.923892 \nL 254.666717 151.482075 \nL 255.122797 151.954877 \nL 255.672654 152.336707 \nL 256.313282 152.622203 \nL 257.04115 152.80628 \nL 257.852183 152.884177 \nL 258.741715 152.851553 \nL 260.734327 152.439941 \nL 262.967774 151.548832 \nL 265.377817 150.170012 \nL 267.885551 148.315093 \nL 270.396572 146.021385 \nL 272.801669 143.357261 \nL 274.979715 140.425632 \nL 276.803427 137.363734 \nL 278.148225 134.337656 \nL 278.605637 132.895093 \nL 278.903748 131.530677 \nL 279.03313 130.267148 \nL 278.986822 129.125958 \nL 278.760692 128.126605 \nL 278.353666 127.286016 \nL 277.767907 126.618048 \nL 277.008853 126.133052 \nL 276.085165 125.837666 \nL 275.00856 125.734688 \nL 273.793525 125.82316 \nL 272.45693 126.098595 \nL 271.017584 126.553312 \nL 269.495733 127.176907 \nL 266.289475 128.878515 \nL 263.008786 131.085404 \nL 259.815315 133.668754 \nL 256.850321 136.501798 \nL 254.228084 139.467971 \nL 252.033899 142.464465 \nL 250.325725 145.402456 \nL 249.138109 148.205086 \nL 248.745114 149.53418 \nL 248.487114 150.804551 \nL 248.364024 152.008609 \nL 248.375183 153.138984 \nL 248.519437 154.188414 \nL 248.795231 155.14968 \nL 249.200662 156.015571 \nL 249.733513 156.778837 \nL 250.391264 157.432154 \nL 251.17109 157.96815 \nL 252.06981 158.379376 \nL 253.083839 158.658382 \nL 254.209118 158.797735 \nL 255.441003 158.790148 \nL 256.774155 158.628583 \nL 258.202412 158.306403 \nL 259.718628 157.81758 \nL 261.31454 157.156958 \nL 262.98058 156.320506 \nL 264.705726 155.305662 \nL 266.477363 154.111733 \nL 268.281132 152.740269 \nL 270.100835 151.195508 \nL 271.918361 149.484815 \nL 273.713708 147.619107 \nL 275.465021 145.613207 \nL 277.148767 143.486142 \nL 278.740003 141.261288 \nL 280.212745 138.966372 \nL 281.540453 136.633265 \nL 282.696656 134.297513 \nL 283.655695 131.997604 \nL 284.393519 129.774009 \nL 284.888588 127.667957 \nL 285.122753 125.720011 \nL 285.082137 123.968558 \nL 284.757889 122.448279 \nL 284.146799 121.188741 \nL 283.251728 120.213158 \nL 282.081761 119.537534 \nL 280.652078 119.170185 \nL 278.983581 119.111666 \nL 277.10223 119.355161 \nL 275.038174 119.887253 \nL 272.824716 120.688966 \nL 270.49717 121.736991 \nL 268.091723 123.005049 \nL 265.644335 124.465148 \nL 263.189727 126.088756 \nL 260.760563 127.847804 \nL 258.386769 129.715456 \nL 256.09508 131.666673 \nL 253.908755 133.678533 \nL 251.84748 135.730407 \nL 249.927404 137.803963 \nL 248.161314 139.883042 \nL 246.558885 141.953498 \nL 245.12701 144.002949 \nL 243.870161 146.020537 \nL 242.790744 147.996655 \nL 241.889495 149.922723 \nL 241.165812 151.790923 \nL 240.618089 153.59401 \nL 240.244007 155.325126 \nL 240.040779 156.977599 \nL 240.005367 158.544829 \nL 240.134655 160.020127 \nL 240.425575 161.396626 \nL 240.875207 162.667142 \nL 241.48083 163.824097 \nL 242.23994 164.859449 \nL 243.150255 165.764619 \nL 244.209657 166.53041 \nL 245.416116 167.147001 \nL 246.767587 167.603918 \nL 248.26187 167.890049 \nL 249.896439 167.993694 \nL 251.668236 167.902653 \nL 253.573429 167.604372 \nL 255.607145 167.086144 \nL 257.763159 166.335432 \nL 260.033558 165.340231 \nL 262.408379 164.089599 \nL 264.875223 162.574243 \nL 267.418863 160.787289 \nL 270.020865 158.725147 \nL 272.659237 156.388504 \nL 275.308109 153.783422 \nL 277.937571 150.922428 \nL 280.51358 147.825619 \nL 282.998084 144.521657 \nL 285.349371 141.048456 \nL 287.522699 137.453576 \nL 289.471213 133.794012 \nL 291.147229 130.135373 \nL 292.503805 126.550307 \nL 293.496628 123.116093 \nL 294.086078 119.911546 \nL 294.239368 117.01332 \nL 293.932644 114.491932 \nL 293.152757 112.407784 \nL 291.898665 110.807733 \nL 290.182148 109.722467 \nL 288.027842 109.165123 \nL 285.472491 109.131111 \nL 282.563453 109.599435 \nL 279.356594 110.535072 \nL 275.913751 111.892125 \nL 272.299973 113.617554 \nL 268.580788 115.654709 \nL 264.819677 117.946679 \nL 261.075977 120.438962 \nL 257.403202 123.08143 \nL 253.847967 125.829556 \nL 250.449378 128.645013 \nL 247.238893 131.495671 \nL 244.240572 134.35527 \nL 241.471608 137.202785 \nL 238.943052 140.021693 \nL 236.660641 142.799207 \nL 234.625701 145.525523 \nL 232.836008 148.193183 \nL 231.286613 150.796441 \nL 229.970608 153.330837 \nL 228.879781 155.792756 \nL 228.005199 158.179141 \nL 227.337676 160.487218 \nL 226.868175 162.714315 \nL 226.588119 164.857693 \nL 226.489626 166.914406 \nL 226.565695 168.881199 \nL 226.810323 170.754382 \nL 227.218585 172.529742 \nL 227.786674 174.202442 \nL 228.511919 175.766914 \nL 229.392746 177.216746 \nL 230.428659 178.544565 \nL 231.620151 179.741902 \nL 232.968643 180.799064 \nL 234.476348 181.705005 \nL 236.146159 182.447162 \nL 237.981471 183.011331 \nL 239.986002 183.381515 \nL 242.163546 183.539843 \nL 244.51769 183.466476 \nL 247.051477 183.139586 \nL 249.767004 182.535446 \nL 252.664928 181.628581 \nL 255.743904 180.392137 \nL 258.999909 178.798405 \nL 262.425484 176.819641 \nL 266.008857 174.429197 \nL 269.733003 171.603045 \nL 273.574586 168.321731 \nL 277.502948 164.572805 \nL 281.479049 160.353679 \nL 285.454595 155.674904 \nL 289.371392 150.563624 \nL 293.161089 145.066995 \nL 296.745504 139.255131 \nL 300.03772 133.223036 \nL 302.94411 127.090918 \nL 305.367453 121.002232 \nL 307.211139 115.118978 \nL 308.384363 109.613975 \nL 308.808075 104.66039 \nL 308.421114 100.419326 \nL 307.185961 97.026848 \nL 305.093333 94.582218 \nL 302.164878 93.139365 \nL 298.453522 92.702861 \nL 294.041124 93.229447 \nL 289.033707 94.634555 \nL 283.554732 96.802842 \nL 277.737296 99.600744 \nL 271.716176 102.888994 \nL 265.620534 106.533513 \nL 259.568039 110.413513 \nL 253.660677 114.426323 \nL 247.982374 118.489338 \nL 242.598245 122.539628 \nL 237.55518 126.531939 \nL 232.883373 130.435863 \nL 228.598437 134.232785 \nL 224.703793 137.912918 \nL 221.193105 141.472775 \nL 218.052563 144.913068 \nL 215.26295 148.237137 \nL 212.801418 151.44975 \nL 210.642963 154.556329 \nL 208.761619 157.562413 \nL 207.131387 160.473337 \nL 205.726933 163.29406 \nL 204.524096 166.029102 \nL 203.50023 168.682513 \nL 201.907566 173.758582 \nL 200.803773 178.546972 \nL 200.072833 183.06782 \nL 199.625438 187.338024 \nL 199.39531 191.372267 \nL 199.358625 197.00944 \nL 199.611164 202.183777 \nL 200.112952 206.928855 \nL 200.866639 211.272635 \nL 201.526234 213.9563 \nL 202.332981 216.475192 \nL 203.312768 218.830879 \nL 204.498872 221.021605 \nL 205.933023 223.040992 \nL 207.666834 224.876113 \nL 209.763602 226.5047 \nL 210.971589 227.231046 \nL 212.300443 227.891004 \nL 213.762355 228.477017 \nL 215.370696 228.979793 \nL 217.140079 229.387964 \nL 219.086431 229.68766 \nL 221.22705 229.862027 \nL 223.580629 229.89064 \nL 226.167251 229.74884 \nL 229.008327 229.406951 \nL 232.126466 228.829413 \nL 235.545234 227.973814 \nL 239.288776 226.789861 \nL 243.381252 225.218326 \nL 247.846007 223.190068 \nL 252.70443 220.625262 \nL 257.974383 217.433041 \nL 263.668117 213.511854 \nL 269.789538 208.751003 \nL 276.330729 203.033866 \nL 283.267616 196.243593 \nL 290.554796 188.272042 \nL 298.119551 179.032806 \nL 305.855339 168.478964 \nL 313.615331 156.625509 \nL 321.206923 143.575513 \nL 328.388643 129.546972 \nL 334.871314 114.895212 \nL 340.325666 100.123014 \nL 344.398522 85.869131 \nL 346.738548 72.866702 \nL 347.031081 61.868118 \nL 345.03848 53.542846 \nL 340.639291 48.366779 \nL 333.85768 46.532069 \nL 324.874283 47.906436 \nL 314.013454 52.058634 \nL 301.707831 58.344679 \nL 288.447605 66.02816 \nL 247.620139 90.969176 \nL 234.892204 98.447386 \nL 223.000789 105.149333 \nL 212.057525 111.03227 \nL 202.108505 116.120652 \nL 193.150505 120.477316 \nL 185.145873 124.18264 \nL 178.034918 127.320884 \nL 166.200127 132.208843 \nL 157.031794 135.678576 \nL 149.948412 138.121288 \nL 144.455235 139.806095 \nL 140.155937 140.915046 \nL 136.745652 141.57261 \nL 133.997445 141.867089 \nL 131.747711 141.865111 \nL 129.882789 141.621205 \nL 128.327406 141.183947 \nL 127.034965 140.599716 \nL 125.979505 139.914725 \nL 125.148928 139.17571 \nL 124.539314 138.429536 \nL 124.150216 137.722016 \nL 123.980734 137.096168 \nL 124.026486 136.590151 \nL 124.277475 136.23526 \nL 124.716785 136.05424 \nL 125.320327 136.060166 \nL 126.057284 136.255974 \nL 127.332422 136.888201 \nL 128.689082 137.870934 \nL 129.987496 139.111608 \nL 131.098836 140.497243 \nL 131.916539 141.90647 \nL 132.363412 143.219004 \nL 132.431916 143.984376 \nL 132.310089 144.626424 \nL 131.9994 145.11821 \nL 131.507672 145.436674 \nL 130.848958 145.563397 \nL 130.043391 145.48544 \nL 129.117032 145.196372 \nL 128.101679 144.697291 \nL 126.494175 143.578664 \nL 124.914496 142.08475 \nL 123.520103 140.338838 \nL 122.771505 139.116497 \nL 122.217809 137.914279 \nL 121.894543 136.792904 \nL 121.827417 135.811789 \nL 122.0298 135.024753 \nL 122.500946 134.475887 \nL 123.225257 134.196213 \nL 124.172852 134.201556 \nL 125.301328 134.49196 \nL 126.558569 135.052489 \nL 127.8863 135.855272 \nL 129.223824 136.862323 \nL 130.511646 138.02862 \nL 131.694548 139.305036 \nL 132.723928 140.640835 \nL 133.559299 141.985617 \nL 134.169088 143.290616 \nL 134.530806 144.509549 \nL 134.630848 145.599155 \nL 134.464064 146.519533 \nL 134.033329 147.234495 \nL 133.349205 147.712092 \nL 132.429777 147.925377 \nL 131.300709 147.853517 \nL 129.995378 147.483299 \nL 128.555088 146.810972 \nL 127.029122 145.844338 \nL 125.474446 144.60482 \nL 123.954795 143.129213 \nL 122.538953 141.470651 \nL 121.297971 139.698194 \nL 120.301382 137.894696 \nL 119.612422 136.152585 \nL 119.282742 134.567647 \nL 119.347159 133.231454 \nL 119.532323 132.682091 \nL 119.819271 132.223246 \nL 120.205943 131.861719 \nL 120.688723 131.602742 \nL 121.262498 131.449877 \nL 121.920726 131.404998 \nL 123.458098 131.638261 \nL 125.225619 132.284959 \nL 127.136119 133.305463 \nL 129.097203 134.64354 \nL 131.017861 136.232375 \nL 132.813957 138.00014 \nL 134.412239 139.874419 \nL 135.75262 141.785236 \nL 136.788962 143.666725 \nL 137.488674 145.45773 \nL 137.831594 147.101735 \nL 137.808558 148.546447 \nL 137.420056 149.743321 \nL 137.091292 150.234619 \nL 136.675228 150.647361 \nL 136.174266 150.97652 \nL 135.591325 151.217335 \nL 134.193809 151.416603 \nL 132.516923 151.21474 \nL 130.604733 150.589998 \nL 128.512372 149.532673 \nL 126.307177 148.049232 \nL 124.069302 146.166818 \nL 121.891226 143.937519 \nL 119.87573 141.441357 \nL 118.131683 138.786799 \nL 116.767558 136.107561 \nL 115.882691 133.55485 \nL 115.646045 132.375015 \nL 115.55718 131.28504 \nL 115.621438 130.302736 \nL 115.841785 129.444242 \nL 116.218618 128.723569 \nL 116.749655 128.152199 \nL 117.429925 127.738781 \nL 118.251798 127.488949 \nL 119.205153 127.405229 \nL 120.277604 127.487108 \nL 121.454784 127.731177 \nL 122.720723 128.1314 \nL 125.44936 129.365086 \nL 128.319066 131.101066 \nL 131.185684 133.234673 \nL 133.916315 135.655422 \nL 136.397067 138.255811 \nL 138.537069 140.936616 \nL 140.269162 143.609088 \nL 141.548108 146.19475 \nL 142.347371 148.623881 \nL 142.655354 150.833322 \nL 142.624702 151.837188 \nL 142.471899 152.764331 \nL 142.198258 153.607788 \nL 141.805518 154.360666 \nL 141.29581 155.016124 \nL 140.671664 155.567371 \nL 139.936008 156.007651 \nL 139.092206 156.330302 \nL 138.144108 156.528773 \nL 137.096105 156.59672 \nL 135.953226 156.528097 \nL 134.721216 156.317261 \nL 133.40666 155.959159 \nL 132.017083 155.449493 \nL 130.561088 154.784959 \nL 129.048445 153.963492 \nL 127.490231 152.984552 \nL 125.898919 151.849433 \nL 124.288447 150.561603 \nL 122.67427 149.127013 \nL 121.073355 147.554423 \nL 119.504131 145.855675 \nL 117.986367 144.045917 \nL 116.540979 142.143749 \nL 115.189759 140.171227 \nL 113.954995 138.153733 \nL 112.859025 136.119704 \nL 111.923687 134.100111 \nL 111.169709 132.127804 \nL 110.616029 130.236664 \nL 110.279128 128.460567 \nL 110.172328 126.832301 \nL 110.305173 125.382392 \nL 110.682881 124.137967 \nL 111.305963 123.12177 \nL 112.169966 122.351304 \nL 113.265441 121.838273 \nL 114.578122 121.588304 \nL 116.089266 121.600986 \nL 117.776238 121.870196 \nL 119.613213 122.384708 \nL 121.571977 123.128963 \nL 123.622824 124.084029 \nL 125.735418 125.228542 \nL 127.879657 126.539689 \nL 130.026423 127.99405 \nL 134.219718 131.240154 \nL 138.123206 134.79239 \nL 141.587663 138.499084 \nL 144.508395 142.234952 \nL 145.743343 144.081436 \nL 146.820929 145.898969 \nL 147.738101 147.677883 \nL 148.493285 149.40935 \nL 149.086105 151.085201 \nL 149.517133 152.697745 \nL 149.787654 154.23962 \nL 149.899471 155.703667 \nL 149.854727 157.082778 \nL 149.655787 158.369803 \nL 149.305118 159.557455 \nL 148.805233 160.638225 \nL 148.158639 161.604286 \nL 147.367849 162.447486 \nL 146.435392 163.159262 \nL 145.363869 163.730641 \nL 144.156048 164.152254 \nL 142.814959 164.414339 \nL 141.344051 164.506827 \nL 139.747348 164.419434 \nL 138.029662 164.141824 \nL 136.196804 163.663799 \nL 134.255841 162.975596 \nL 132.215357 162.068234 \nL 130.085742 160.933946 \nL 127.879498 159.566712 \nL 125.611499 157.96285 \nL 123.299292 156.121743 \nL 120.96333 154.046578 \nL 118.627132 151.745171 \nL 116.317383 149.230753 \nL 114.063917 146.522736 \nL 111.899529 143.647347 \nL 109.859623 140.638026 \nL 107.981652 137.535541 \nL 106.304305 134.387689 \nL 104.866495 131.248562 \nL 103.7061 128.177194 \nL 102.858524 125.23576 \nL 102.355132 122.48724 \nL 102.221663 119.992705 \nL 102.47673 117.808482 \nL 103.130499 115.983303 \nL 104.183699 114.555829 \nL 105.627086 113.552733 \nL 107.441424 112.987597 \nL 109.597975 112.860643 \nL 112.05956 113.159455 \nL 114.782026 113.860433 \nL 117.716082 114.930953 \nL 120.809309 116.331831 \nL 124.00821 118.019867 \nL 127.260129 119.950345 \nL 130.514963 122.079114 \nL 133.726536 124.364294 \nL 136.853604 126.76742 \nL 139.860504 129.254179 \nL 142.717447 131.794697 \nL 145.400499 134.363507 \nL 147.891322 136.93927 \nL 150.176726 139.504363 \nL 152.248106 142.044359 \nL 154.100797 144.547517 \nL 155.733426 147.004272 \nL 157.147245 149.406764 \nL 158.345521 151.748425 \nL 159.332983 154.023638 \nL 160.115316 156.227401 \nL 160.698732 158.355126 \nL 161.089612 160.402385 \nL 161.294209 162.36476 \nL 161.318413 164.237677 \nL 161.167573 166.016274 \nL 160.846369 167.695285 \nL 160.358723 169.268928 \nL 159.707762 170.730774 \nL 158.895804 172.073672 \nL 157.924373 173.289608 \nL 156.794266 174.369624 \nL 155.505618 175.303694 \nL 154.058024 176.080643 \nL 152.450672 176.688037 \nL 150.682523 177.112125 \nL 148.752514 177.337783 \nL 146.659814 177.348496 \nL 144.404119 177.126408 \nL 141.985999 176.652432 \nL 139.407308 175.906481 \nL 136.671655 174.867798 \nL 133.784939 173.515447 \nL 130.755938 171.829029 \nL 127.596985 169.789614 \nL 124.324674 167.380931 \nL 120.960591 164.590855 \nL 117.532052 161.413187 \nL 114.072781 157.849716 \nL 110.62347 153.912448 \nL 107.23214 149.625975 \nL 103.954182 145.029652 \nL 100.851999 140.179465 \nL 97.994102 135.149156 \nL 95.453588 130.030272 \nL 93.305879 124.930757 \nL 91.625786 119.97182 \nL 90.483896 115.282941 \nL 89.942489 110.995107 \nL 90.051335 107.232813 \nL 90.843631 104.105495 \nL 92.33268 101.699484 \nL 94.509615 100.071517 \nL 97.342639 99.244869 \nL 100.777934 99.208631 \nL 104.742249 99.920261 \nL 109.146886 101.311035 \nL 113.892738 103.29337 \nL 118.875762 105.769083 \nL 123.99233 108.637185 \nL 129.144013 111.800621 \nL 134.241388 115.171195 \nL 139.206732 118.672644 \nL 143.975533 122.241904 \nL 148.496975 125.829051 \nL 152.733546 129.396213 \nL 156.660033 132.915927 \nL 160.262078 136.369279 \nL 163.534557 139.744048 \nL 166.479862 143.033052 \nL 169.106273 146.232718 \nL 171.426433 149.34196 \nL 173.456032 152.361291 \nL 175.212657 155.292184 \nL 176.714847 158.136617 \nL 177.981343 160.896757 \nL 179.030484 163.574753 \nL 179.879761 166.172634 \nL 180.545492 168.692198 \nL 181.0426 171.135013 \nL 181.384468 173.502354 \nL 181.582865 175.795223 \nL 181.647912 178.014332 \nL 181.588097 180.160081 \nL 181.4103 182.232567 \nL 181.119851 184.231531 \nL 180.720579 186.15634 \nL 180.214883 188.005949 \nL 179.603792 189.778835 \nL 178.887019 191.472938 \nL 178.063029 193.085572 \nL 177.129075 194.613344 \nL 176.081249 196.052019 \nL 174.914519 197.396398 \nL 173.622763 198.640159 \nL 172.198806 199.775668 \nL 170.63445 200.793774 \nL 168.920523 201.683561 \nL 167.046923 202.432085 \nL 165.002695 203.024053 \nL 162.776127 203.441487 \nL 160.35488 203.663365 \nL 157.726179 203.665223 \nL 154.877066 203.418757 \nL 151.794727 202.891452 \nL 148.466958 202.046252 \nL 144.882737 200.84135 \nL 141.03299 199.230132 \nL 136.911546 197.161419 \nL 132.516344 194.580116 \nL 127.850918 191.428432 \nL 122.926157 187.647891 \nL 117.762405 183.182341 \nL 112.391835 177.982204 \nL 106.861044 172.010204 \nL 101.233733 165.248582 \nL 95.593251 157.707829 \nL 90.044654 149.436375 \nL 84.715811 140.530536 \nL 79.756946 131.143059 \nL 75.338005 121.488409 \nL 71.643138 111.842203 \nL 68.861953 102.532365 \nL 67.177378 93.920252 \nL 66.750821 86.371758 \nL 67.705911 80.220733 \nL 70.1131 75.730197 \nL 73.977631 73.058683 \nL 79.233512 72.239382 \nL 85.745249 73.177708 \nL 93.317734 75.668252 \nL 101.712822 79.427292 \nL 110.67003 84.133032 \nL 119.927737 89.464807 \nL 129.241872 95.134116 \nL 147.228529 106.595474 \nL 163.417813 117.304922 \nL 177.232431 126.803821 \nL 183.20854 131.085053 \nL 188.586667 135.076251 \nL 193.401795 138.80133 \nL 197.697613 142.285294 \nL 201.522902 145.551991 \nL 204.928746 148.622811 \nL 210.686144 154.247181 \nL 215.359966 159.268328 \nL 224.452217 169.526287 \nL 227.728806 172.735099 \nL 229.390513 174.136601 \nL 231.094388 175.394829 \nL 232.857998 176.502007 \nL 234.697244 177.448879 \nL 236.626504 178.224646 \nL 238.658709 178.816909 \nL 240.805376 179.211609 \nL 243.076593 179.392989 \nL 245.480925 179.343598 \nL 248.025251 179.044332 \nL 250.714531 178.474598 \nL 253.551473 177.612551 \nL 256.536136 176.435482 \nL 259.665415 174.920418 \nL 262.932453 173.044914 \nL 266.32596 170.788154 \nL 269.829477 168.132362 \nL 273.420573 165.064522 \nL 277.070067 161.578512 \nL 280.741293 157.67749 \nL 284.389502 153.376546 \nL 287.96153 148.705417 \nL 291.39579 143.71103 \nL 294.622828 138.459558 \nL 297.566456 133.037495 \nL 300.145699 127.551424 \nL 302.277559 122.125893 \nL 303.880612 116.899228 \nL 304.879324 112.017023 \nL 305.208837 107.623762 \nL 304.81983 103.853111 \nL 303.682992 100.817913 \nL 301.792496 98.601331 \nL 299.168003 97.250289 \nL 295.854854 96.772461 \nL 291.922177 97.137173 \nL 287.459179 98.280101 \nL 282.569898 100.110992 \nL 277.367098 102.523032 \nL 271.965932 105.402539 \nL 266.478048 108.63751 \nL 261.006651 112.124437 \nL 255.642865 115.772741 \nL 250.463409 119.507016 \nL 245.529634 123.267392 \nL 240.887628 127.008535 \nL 236.56917 130.697803 \nL 232.593256 134.313029 \nL 228.96792 137.840278 \nL 225.692184 141.271786 \nL 222.757967 144.604178 \nL 220.151847 147.837077 \nL 217.856635 150.972007 \nL 215.85271 154.01159 \nL 214.119139 156.959001 \nL 212.634565 159.81758 \nL 211.377915 162.590615 \nL 210.328921 165.281207 \nL 209.468504 167.892181 \nL 208.779028 170.426079 \nL 208.244472 172.885155 \nL 207.850508 175.271386 \nL 207.43565 179.831899 \nL 207.453856 184.118346 \nL 207.85003 188.13763 \nL 208.592171 191.892705 \nL 209.668909 195.381828 \nL 211.087434 198.597357 \nL 211.931805 200.098066 \nL 212.87199 201.523828 \nL 213.913541 202.87102 \nL 215.062996 204.135135 \nL 216.327875 205.310598 \nL 217.716687 206.390598 \nL 219.238933 207.36687 \nL 220.905102 208.229439 \nL 222.726667 208.966348 \nL 224.716059 209.563304 \nL 226.886625 210.003318 \nL 229.252559 210.266277 \nL 231.82877 210.328474 \nL 234.630711 210.162109 \nL 237.674126 209.734781 \nL 240.974675 209.008953 \nL 244.547441 207.941502 \nL 248.406269 206.483356 \nL 252.562885 204.579346 \nL 257.025749 202.168394 \nL 261.798629 199.184201 \nL 266.878773 195.55667 \nL 272.254745 191.214359 \nL 277.903765 186.088239 \nL 283.788737 180.117156 \nL 289.85491 173.255262 \nL 296.026398 165.481571 \nL 302.202923 156.811521 \nL 308.257149 147.309951 \nL 314.033367 137.104175 \nL 319.348285 126.394984 \nL 323.99494 115.462506 \nL 327.750511 104.663301 \nL 330.388685 94.415172 \nL 331.696389 85.167742 \nL 331.493839 77.359482 \nL 329.655685 71.366409 \nL 326.129729 67.451387 \nL 320.949657 65.725649 \nL 314.23836 66.13273 \nL 306.200138 68.460203 \nL 297.102638 72.376594 \nL 287.25147 77.48409 \nL 276.962294 83.373928 \nL 266.535008 89.672663 \nL 246.27501 102.341977 \nL 212.391761 123.925178 \nL 199.603314 132.330437 \nL 189.365401 139.406729 \nL 181.252856 145.423264 \nL 174.797383 150.592635 \nL 167.266721 157.053013 \nL 161.228589 162.153307 \nL 157.558022 164.819109 \nL 155.746909 165.923581 \nL 153.922702 166.868594 \nL 152.066975 167.647101 \nL 150.163871 168.250847 \nL 148.199964 168.670422 \nL 146.164159 168.895388 \nL 144.047666 168.914414 \nL 141.844008 168.715412 \nL 139.549108 168.285801 \nL 137.161409 167.612798 \nL 134.682071 166.683815 \nL 132.115208 165.486957 \nL 129.468177 164.011676 \nL 126.75189 162.249545 \nL 123.981145 160.195179 \nL 121.174965 157.847267 \nL 118.356885 155.2098 \nL 115.555149 152.293293 \nL 112.802825 149.116044 \nL 110.13773 145.705327 \nL 107.602102 142.09834 \nL 105.24202 138.342802 \nL 103.106485 134.497012 \nL 101.24612 130.629189 \nL 99.711532 126.816006 \nL 98.551274 123.140215 \nL 97.80963 119.687369 \nL 97.524173 116.541828 \nL 97.723413 113.782339 \nL 98.424669 111.477491 \nL 99.632369 109.681639 \nL 101.337032 108.431709 \nL 103.515017 107.745287 \nL 106.129192 107.620217 \nL 109.130412 108.035742 \nL 112.459753 108.955058 \nL 116.05129 110.328911 \nL 119.835144 112.099656 \nL 123.740573 114.205382 \nL 127.698793 116.583753 \nL 131.645432 119.175083 \nL 135.522366 121.924639 \nL 139.279036 124.784023 \nL 142.873118 127.711842 \nL 146.270696 130.673724 \nL 149.445993 133.641875 \nL 152.380787 136.594364 \nL 155.063588 139.514254 \nL 157.488719 142.388734 \nL 159.655318 145.208258 \nL 161.566377 147.965777 \nL 163.227825 150.656121 \nL 164.647702 153.275443 \nL 165.83543 155.820816 \nL 166.801188 158.289868 \nL 167.555395 160.680535 \nL 168.108282 162.990855 \nL 168.469566 165.218818 \nL 168.648188 167.362213 \nL 168.652123 169.418548 \nL 168.488259 171.384939 \nL 168.162299 173.258002 \nL 167.678726 175.033791 \nL 167.040786 176.70768 \nL 166.250504 178.274259 \nL 165.308718 179.727243 \nL 164.215131 181.059309 \nL 162.96839 182.261998 \nL 161.566171 183.325539 \nL 160.005291 184.238724 \nL 158.281845 184.988708 \nL 156.391357 185.560865 \nL 154.328978 185.938628 \nL 152.089718 186.103344 \nL 149.66873 186.034156 \nL 147.061646 185.707959 \nL 144.265 185.099401 \nL 141.276719 184.181018 \nL 138.096712 182.923552 \nL 134.727588 181.29645 \nL 131.175458 179.268655 \nL 127.450878 176.809759 \nL 123.569912 173.891573 \nL 119.555256 170.490207 \nL 115.437461 166.588681 \nL 111.256109 162.1801 \nL 107.060908 157.271325 \nL 102.912548 151.886973 \nL 98.883139 146.073439 \nL 95.056051 139.902557 \nL 91.524906 133.47417 \nL 88.391519 126.916997 \nL 85.762597 120.3869 \nL 83.745138 114.061953 \nL 82.44063 108.133958 \nL 81.938295 102.796497 \nL 82.308006 98.230573 \nL 83.593568 94.589342 \nL 85.807254 91.984226 \nL 88.926534 90.474582 \nL 92.893588 90.063047 \nL 97.617908 90.697338 \nL 102.981866 92.278277 \nL 108.848501 94.672368 \nL 115.070558 97.726833 \nL 121.499677 101.284336 \nL 127.994659 105.195436 \nL 134.428047 109.327613 \nL 140.690637 113.570356 \nL 146.693875 117.836723 \nL 152.370405 122.062322 \nL 157.673107 126.202549 \nL 162.573143 130.229034 \nL 167.057416 134.125937 \nL 171.125773 137.886552 \nL 174.788266 141.510426 \nL 178.06259 145.001078 \nL 180.971846 148.364313 \nL 183.542633 151.607008 \nL 185.803488 154.73633 \nL 187.783657 157.75924 \nL 189.512154 160.682213 \nL 191.017066 163.511096 \nL 192.32507 166.251121 \nL 194.448266 171.482471 \nL 196.058197 176.406856 \nL 197.300283 181.048245 \nL 198.722546 187.520834 \nL 201.730213 202.235441 \nL 202.585876 205.389313 \nL 203.56517 208.345458 \nL 204.708204 211.105213 \nL 206.058641 213.665815 \nL 207.666004 216.018908 \nL 209.587938 218.148354 \nL 210.687679 219.121269 \nL 211.892545 220.027008 \nL 213.213075 220.85971 \nL 214.660759 221.612139 \nL 216.248111 222.275428 \nL 217.988736 222.838761 \nL 219.897383 223.289004 \nL 221.98999 223.610272 \nL 224.283692 223.783415 \nL 226.796805 223.785427 \nL 229.548756 223.588801 \nL 232.559944 223.160753 \nL 235.851494 222.462438 \nL 239.444911 221.448082 \nL 243.361533 220.064129 \nL 247.621783 218.24848 \nL 252.244127 215.929913 \nL 257.243673 213.027907 \nL 262.630325 209.453073 \nL 268.406414 205.10859 \nL 274.563673 199.893083 \nL 281.079557 193.705494 \nL 287.912863 186.452626 \nL 294.998688 178.059938 \nL 302.243029 168.486105 \nL 309.517396 157.741284 \nL 316.654261 145.908311 \nL 323.444372 133.164663 \nL 329.637438 119.801213 \nL 334.947921 106.232029 \nL 339.06745 92.988178 \nL 341.68505 80.688645 \nL 342.51479 69.985072 \nL 341.328571 61.483318 \nL 337.989399 55.654173 \nL 332.478574 52.753413 \nL 324.909741 52.77417 \nL 315.524934 55.448286 \nL 304.671463 60.298294 \nL 292.763963 66.72549 \nL 280.239529 74.108241 \nL 242.851806 96.959338 \nL 231.418073 103.746263 \nL 220.792794 109.876463 \nL 211.050116 115.330585 \nL 194.264613 124.346569 \nL 180.850164 131.241763 \nL 162.058075 140.584166 \nL 152.819629 145.00482 \nL 148.104087 147.074805 \nL 144.142561 148.551139 \nL 140.683438 149.481433 \nL 139.083087 149.750249 \nL 137.545094 149.890963 \nL 136.055935 149.905135 \nL 134.605194 149.794211 \nL 133.1853 149.559766 \nL 131.791318 149.203737 \nL 130.420719 148.72864 \nL 129.073204 148.137755 \nL 126.456305 146.626818 \nL 123.976047 144.719683 \nL 121.692122 142.487961 \nL 119.682013 140.028611 \nL 118.033254 137.46327 \nL 116.834121 134.933447 \nL 116.428382 133.729302 \nL 116.163134 132.591212 \nL 116.044876 131.537672 \nL 116.078188 130.586066 \nL 116.265482 129.752182 \nL 116.606804 129.049791 \nL 117.099719 128.490238 \nL 117.739251 128.082197 \nL 118.517943 127.831432 \nL 119.42598 127.740759 \nL 120.451377 127.810067 \nL 121.580286 128.036446 \nL 122.797299 128.414439 \nL 125.428481 129.592595 \nL 128.205145 131.262631 \nL 130.98722 133.324764 \nL 133.644869 135.672556 \nL 136.06609 138.201505 \nL 138.16076 140.814431 \nL 139.861577 143.423787 \nL 141.122551 145.951768 \nL 141.916076 148.328974 \nL 142.229417 150.492492 \nL 142.205277 151.475721 \nL 142.061392 152.383846 \nL 141.798982 153.209971 \nL 141.419711 153.947282 \nL 140.925658 154.589039 \nL 140.319308 155.128564 \nL 139.603569 155.559253 \nL 138.781788 155.8746 \nL 137.857806 156.068259 \nL 136.83602 156.1341 \nL 135.721454 156.066298 \nL 134.519849 155.859478 \nL 133.237768 155.508852 \nL 131.882694 155.010395 \nL 130.463161 154.361077 \nL 128.988836 153.55909 \nL 127.470646 152.604135 \nL 124.353116 150.243405 \nL 121.225732 147.317863 \nL 118.226194 143.909476 \nL 116.822913 142.063369 \nL 115.511755 140.150085 \nL 114.31419 138.194158 \nL 113.2517 136.22299 \nL 112.345253 134.266361 \nL 111.614711 132.355817 \nL 111.078204 130.52383 \nL 110.751468 128.802862 \nL 110.647226 127.224312 \nL 110.774569 125.817423 \nL 111.138474 124.608243 \nL 111.739421 123.618643 \nL 112.573149 122.865568 \nL 113.630656 122.360475 \nL 114.898322 122.10905 \nL 116.358273 122.111268 \nL 117.988886 122.361656 \nL 119.765476 122.849837 \nL 121.661032 123.561297 \nL 123.647066 124.478189 \nL 125.694429 125.580298 \nL 127.774121 126.845899 \nL 131.919521 129.778025 \nL 135.879054 133.099276 \nL 139.48517 136.650151 \nL 142.612622 140.294619 \nL 145.177336 143.920942 \nL 146.232297 145.698254 \nL 147.130694 147.438361 \nL 147.870679 149.132348 \nL 148.451611 150.771943 \nL 148.873797 152.349363 \nL 149.13828 153.857149 \nL 149.246643 155.288048 \nL 149.200852 156.634894 \nL 149.003118 157.890484 \nL 148.655804 159.047499 \nL 148.161352 160.09841 \nL 147.52225 161.035434 \nL 146.741028 161.85047 \nL 145.820277 162.535059 \nL 144.762705 163.080372 \nL 143.571217 163.477229 \nL 142.249025 163.716127 \nL 140.799791 163.787319 \nL 139.227778 163.680899 \nL 137.538063 163.386993 \nL 135.736732 162.895952 \nL 133.831129 162.198639 \nL 131.830116 161.286764 \nL 129.744329 160.153349 \nL 127.586477 158.793205 \nL 125.371581 157.203549 \nL 123.117255 155.384655 \nL 120.843885 153.340581 \nL 118.57479 151.079943 \nL 116.336291 148.616628 \nL 114.157644 145.970495 \nL 112.070844 143.167926 \nL 110.110255 140.242145 \nL 108.312009 137.233252 \nL 106.713263 134.18789 \nL 105.351147 131.158429 \nL 104.261576 128.201667 \nL 103.477893 125.377057 \nL 103.029376 122.744471 \nL 102.939758 120.361656 \nL 103.225839 118.281567 \nL 103.896286 116.549775 \nL 104.950772 115.202193 \nL 106.379496 114.263353 \nL 108.163224 113.745416 \nL 110.273809 113.648056 \nL 112.6752 113.959113 \nL 115.324856 114.655998 \nL 118.175472 115.707697 \nL 121.176867 117.077046 \nL 124.277894 118.723132 \nL 127.428241 120.603568 \nL 130.580027 122.67643 \nL 133.689066 124.901832 \nL 136.715837 127.243013 \nL 139.62608 129.667041 \nL 142.391069 132.145084 \nL 144.987618 134.65242 \nL 147.39784 137.168183 \nL 149.60873 139.674997 \nL 151.611652 142.158511 \nL 153.401733 144.606926 \nL 154.977242 147.010514 \nL 156.338988 149.361192 \nL 157.489735 151.652109 \nL 158.433667 153.877349 \nL 159.175916 156.031601 \nL 159.722154 158.109952 \nL 160.078249 160.10764 \nL 160.249976 162.019913 \nL 160.242797 163.841865 \nL 160.061692 165.568305 \nL 159.711026 167.193626 \nL 159.194478 168.711704 \nL 158.514991 170.115776 \nL 157.674777 171.398348 \nL 156.675334 172.551081 \nL 155.517511 173.564692 \nL 154.201589 174.428863 \nL 152.727398 175.132136 \nL 151.094468 175.661856 \nL 149.302215 176.004116 \nL 147.350158 176.143726 \nL 145.238181 176.064236 \nL 142.966845 175.748016 \nL 140.537754 175.176441 \nL 137.953957 174.330132 \nL 135.220439 173.189379 \nL 132.344656 171.734717 \nL 129.337128 169.947686 \nL 126.212081 167.811843 \nL 122.988116 165.31402 \nL 119.688915 162.445851 \nL 116.343892 159.205545 \nL 112.98875 155.599893 \nL 109.665922 151.646389 \nL 106.424739 147.375338 \nL 103.321308 142.831737 \nL 100.417901 138.076675 \nL 97.781827 133.187903 \nL 95.48372 128.259261 \nL 93.595095 123.398653 \nL 92.185348 118.724373 \nL 91.318179 114.359772 \nL 91.047734 110.426511 \nL 91.414729 107.036893 \nL 92.442956 104.286087 \nL 94.136578 102.245319 \nL 96.478559 100.956718 \nL 99.430595 100.430834 \nL 102.93453 100.647134 \nL 106.915273 101.557288 \nL 111.284893 103.090805 \nL 115.947451 105.16216 \nL 120.804044 107.678171 \nL 125.757674 110.544953 \nL 130.717353 113.673556 \nL 135.601354 116.984035 \nL 140.339373 120.407751 \nL 144.873648 123.888229 \nL 149.159182 127.380885 \nL 153.163231 130.851876 \nL 156.864245 134.276593 \nL 160.250497 137.637962 \nL 163.318539 140.924799 \nL 166.071633 144.130348 \nL 168.518246 147.25103 \nL 170.670678 150.285474 \nL 172.543855 153.233725 \nL 174.154296 156.096688 \nL 175.519267 158.875735 \nL 176.656093 161.572398 \nL 177.581621 164.188218 \nL 178.311819 166.7246 \nL 178.861484 169.182742 \nL 179.244033 171.563596 \nL 179.471386 173.867845 \nL 179.553886 176.095851 \nL 179.50028 178.247646 \nL 179.317718 180.322923 \nL 179.011789 182.320979 \nL 178.586561 184.240685 \nL 178.044637 186.08043 \nL 177.387204 187.838056 \nL 176.614103 189.510777 \nL 175.723871 191.095094 \nL 174.713807 192.586679 \nL 173.580011 193.98024 \nL 172.317445 195.269384 \nL 170.919976 196.446427 \nL 169.380425 197.502206 \nL 167.690636 198.425842 \nL 165.841536 199.20449 \nL 163.823233 199.823059 \nL 161.625122 200.263887 \nL 159.236045 200.506428 \nL 156.644495 200.526902 \nL 153.838871 200.297951 \nL 150.807847 199.788337 \nL 147.540812 198.962686 \nL 144.028472 197.781366 \nL 140.263584 196.200538 \nL 136.241906 194.17249 \nL 131.963334 191.646371 \nL 127.433324 188.569484 \nL 122.664546 184.889318 \nL 117.678814 180.556477 \nL 112.509257 175.528745 \nL 107.202632 169.776444 \nL 101.821676 163.289033 \nL 96.447256 156.082953 \nL 91.180015 148.210155 \nL 86.141081 139.76656 \nL 81.471303 130.899109 \nL 77.328505 121.809613 \nL 73.8822 112.753332 \nL 71.305438 104.030295 \nL 69.763819 95.968042 \nL 69.402288 88.895972 \nL 70.330884 83.113615 \nL 72.611361 78.857241 \nL 76.246863 76.271202 \nL 81.176852 75.39006 \nL 87.278665 76.136182 \nL 94.376024 78.333669 \nL 102.253423 81.73548 \nL 110.674047 86.057515 \nL 119.39839 91.012488 \nL 128.200945 96.337447 \nL 136.882902 101.811761 \nL 153.266332 112.576337 \nL 167.684146 122.501301 \nL 174.035024 127.057446 \nL 179.803108 131.339398 \nL 185.004407 135.359941 \nL 189.668188 139.13757 \nL 193.832747 142.692924 \nL 197.541959 146.046449 \nL 200.842563 149.217018 \nL 203.782104 152.221236 \nL 208.763709 157.784321 \nL 212.837151 162.818706 \nL 220.949257 173.342904 \nL 223.964561 176.73843 \nL 225.513321 178.25066 \nL 227.113967 179.631723 \nL 228.783072 180.874315 \nL 230.53599 181.969659 \nL 232.387004 182.907394 \nL 234.349412 183.675454 \nL 236.435584 184.259926 \nL 238.656948 184.644923 \nL 241.023935 184.812474 \nL 243.545845 184.742447 \nL 246.230627 184.412508 \nL 249.084595 183.798195 \nL 252.112016 182.873091 \nL 255.314626 181.609151 \nL 258.690994 179.977246 \nL 262.235801 177.94802 \nL 265.938961 175.493046 \nL 269.784683 172.58642 \nL 273.750383 169.206821 \nL 277.805602 165.340094 \nL 281.910918 160.982309 \nL 286.016987 156.143305 \nL 290.063829 150.850439 \nL 293.980527 145.152325 \nL 297.685536 139.122106 \nL 301.087808 132.859634 \nL 304.08896 126.491899 \nL 306.586551 120.171011 \nL 308.478638 114.069078 \nL 309.669377 108.369816 \nL 310.075451 103.257097 \nL 309.632717 98.901341 \nL 308.302445 95.445327 \nL 306.076227 92.991483 \nL 302.978807 91.592729 \nL 299.06831 91.248585 \nL 294.433495 91.907228 \nL 289.188419 93.473285 \nL 283.464992 95.819681 \nL 277.404458 98.801549 \nL 271.148792 102.269912 \nL 264.833008 106.083223 \nL 258.578994 110.115625 \nL 252.491319 114.261744 \nL 246.654971 118.438183 \nL 241.134836 122.582666 \nL 235.976578 126.651529 \nL 231.208443 130.616473 \nL 226.84365 134.46115 \nL 222.883001 138.178 \nL 219.317476 141.765567 \nL 216.130659 145.226343 \nL 213.300867 148.565139 \nL 210.802982 151.787969 \nL 208.609948 154.901226 \nL 206.693965 157.911241 \nL 205.027403 160.823946 \nL 203.583487 163.64478 \nL 202.336772 166.378632 \nL 200.341603 171.602292 \nL 198.873965 176.524168 \nL 197.796243 181.16757 \nL 196.999106 185.551652 \nL 196.149294 191.67665 \nL 195.191098 200.794523 \nL 194.335851 208.703962 \nL 193.723307 212.932259 \nL 192.957514 216.804882 \nL 191.968416 220.341645 \nL 191.143594 222.51909 \nL 190.150813 224.553291 \nL 188.95254 226.44154 \nL 187.503266 228.176441 \nL 185.74764 229.743882 \nL 183.618299 231.120058 \nL 182.388546 231.72528 \nL 181.033392 232.267035 \nL 179.539892 232.737315 \nL 177.893846 233.12626 \nL 176.079715 233.421782 \nL 174.08054 233.609104 \nL 171.877885 233.670229 \nL 169.451801 233.583285 \nL 166.780823 233.321795 \nL 163.842038 232.853801 \nL 160.61123 232.140901 \nL 157.063132 231.137156 \nL 153.17184 229.787939 \nL 148.91145 228.02875 \nL 144.256965 225.784119 \nL 139.185575 222.966747 \nL 133.678421 219.477119 \nL 127.722951 215.203999 \nL 121.316004 210.026245 \nL 114.467754 203.816693 \nL 107.206604 196.448893 \nL 99.585079 187.807726 \nL 91.686589 177.804788 \nL 83.632693 166.399251 \nL 75.590226 153.624066 \nL 67.77707 139.615861 \nL 60.464871 124.64485 \nL 53.976448 109.137825 \nL 48.675279 93.68472 \nL 44.944993 79.017556 \nL 43.157727 65.952858 \nL 43.632997 55.296209 \nL 46.592132 47.720381 \nL 52.116715 43.643451 \nL 60.121632 43.142332 \nL 70.351702 45.932784 \nL 82.405773 51.427187 \nL 95.784319 58.853283 \nL 109.949622 67.395779 \nL 138.63872 85.046388 \nL 152.354662 93.182128 \nL 165.276378 100.501787 \nL 177.242593 106.914529 \nL 188.171899 112.422461 \nL 198.044664 117.083982 \nL 206.88543 120.985928 \nL 214.747782 124.224787 \nL 221.7024 126.895307 \nL 227.828215 129.084522 \nL 237.915459 132.315512 \nL 245.619678 134.408437 \nL 251.463186 135.71323 \nL 255.865491 136.477249 \nL 260.455992 136.983866 \nL 263.959615 137.065993 \nL 265.796796 137.093488 \nL 265.709605 137.254711 \nL 263.206345 140.057871 \nL 262.503666 141.34422 \nL 262.235496 142.240133 \nL 262.236562 142.989946 \nL 262.394942 143.373993 \nL 262.677645 143.644856 \nL 263.077541 143.788619 \nL 263.582714 143.795383 \nL 264.500794 143.538436 \nL 265.545251 142.967049 \nL 266.626316 142.115594 \nL 267.642802 141.049775 \nL 268.490538 139.86446 \nL 269.073155 138.676654 \nL 269.314496 137.613258 \nL 269.262405 137.033796 \nL 269.03505 136.594329 \nL 268.638098 136.318732 \nL 268.086039 136.222638 \nL 267.401507 136.312524 \nL 266.192537 136.787406 \nL 264.873062 137.626693 \nL 263.573758 138.749464 \nL 262.420911 140.051226 \nL 261.523748 141.415703 \nL 260.965784 142.724838 \nL 260.809808 143.510966 \nL 260.836744 144.191659 \nL 261.048143 144.739146 \nL 261.439304 145.129153 \nL 261.999429 145.341608 \nL 262.711725 145.361423 \nL 263.553541 145.179384 \nL 264.496602 144.793153 \nL 266.026167 143.845382 \nL 267.574132 142.508958 \nL 268.991542 140.88803 \nL 270.12548 139.132022 \nL 270.653899 137.975812 \nL 270.959839 136.898733 \nL 271.018999 135.95759 \nL 270.818929 135.203736 \nL 270.360688 134.679214 \nL 269.659485 134.413592 \nL 268.744144 134.422018 \nL 267.655433 134.70456 \nL 266.443358 135.247013 \nL 265.163853 136.022788 \nL 263.875202 136.99552 \nL 262.049214 138.728168 \nL 260.978628 139.995893 \nL 260.076914 141.296473 \nL 259.379086 142.581665 \nL 258.911429 143.805171 \nL 258.691504 144.923344 \nL 258.728418 145.895655 \nL 259.023223 146.685072 \nL 259.569264 147.258488 \nL 260.352415 147.587399 \nL 261.351146 147.648846 \nL 262.536445 147.426647 \nL 263.871671 146.913043 \nL 265.312486 146.110559 \nL 266.807005 145.034011 \nL 268.296449 143.712229 \nL 269.716461 142.189346 \nL 270.999314 140.524979 \nL 272.077145 138.792895 \nL 272.886029 137.077955 \nL 273.370902 135.471028 \nL 273.490514 134.062357 \nL 273.222055 132.934038 \nL 272.94108 132.496626 \nL 272.564528 132.152756 \nL 272.095931 131.907377 \nL 271.540235 131.763879 \nL 270.193945 131.788018 \nL 268.589842 132.220497 \nL 266.80648 133.03365 \nL 264.930639 134.181194 \nL 263.050947 135.603702 \nL 261.252093 137.234143 \nL 259.61025 139.002644 \nL 258.190059 140.840086 \nL 257.043117 142.680345 \nL 256.207749 144.461468 \nL 255.709698 146.125955 \nL 255.563309 147.620589 \nL 255.772799 148.896045 \nL 256.333365 149.906685 \nL 256.741521 150.299441 \nL 257.231898 150.610583 \nL 257.801595 150.83554 \nL 259.164696 151.010386 \nL 260.796736 150.795294 \nL 262.653943 150.170423 \nL 264.681773 149.127964 \nL 266.81396 147.676068 \nL 268.972078 145.843028 \nL 271.066197 143.681128 \nL 272.997051 141.269183 \nL 274.660192 138.712721 \nL 275.952343 136.140597 \nL 276.779664 133.697388 \nL 276.994617 132.570781 \nL 277.067298 131.531653 \nL 276.992859 130.596804 \nL 276.76873 129.781442 \nL 276.394766 129.098719 \nL 275.873363 128.559409 \nL 275.209467 128.171594 \nL 274.410512 127.940524 \nL 273.486284 127.868535 \nL 272.448697 127.955098 \nL 271.311517 128.196966 \nL 270.090015 128.58842 \nL 267.460431 129.786751 \nL 264.69782 131.467534 \nL 261.939896 133.531293 \nL 259.313881 135.872492 \nL 256.929237 138.387835 \nL 254.873775 140.98134 \nL 253.212875 143.566565 \nL 251.991027 146.066571 \nL 251.234735 148.412634 \nL 250.955955 150.542311 \nL 250.996195 151.507721 \nL 251.155313 152.397478 \nL 251.432039 153.204722 \nL 251.824661 153.922681 \nL 252.331048 154.544649 \nL 252.948654 155.064008 \nL 253.674514 155.474206 \nL 254.505205 155.768822 \nL 255.436799 155.941588 \nL 256.46481 155.986483 \nL 257.584109 155.897823 \nL 258.788833 155.670391 \nL 260.072292 155.299591 \nL 261.426856 154.781619 \nL 262.843855 154.113702 \nL 264.313462 153.294333 \nL 267.364855 151.203172 \nL 270.476116 148.532104 \nL 273.519915 145.3438 \nL 276.348047 141.747756 \nL 277.630451 139.844971 \nL 278.796865 137.904295 \nL 279.826119 135.953206 \nL 280.697648 134.021427 \nL 281.392086 132.140288 \nL 281.891888 130.341885 \nL 282.181956 128.658148 \nL 282.250284 127.119784 \nL 282.088518 125.755222 \nL 281.692427 124.589576 \nL 281.062261 123.643749 \nL 280.202937 122.933694 \nL 279.124057 122.469918 \nL 277.839697 122.257249 \nL 276.368089 122.294908 \nL 274.731039 122.576826 \nL 272.953307 123.09222 \nL 271.061799 123.826302 \nL 269.084789 124.76116 \nL 267.051077 125.876627 \nL 264.98922 127.151167 \nL 260.890037 130.089099 \nL 256.987061 133.402447 \nL 253.443506 136.934774 \nL 250.380855 140.552731 \nL 247.880285 144.14666 \nL 246.856494 145.906034 \nL 245.988427 147.627216 \nL 245.277805 149.30138 \nL 244.725197 150.920304 \nL 244.330243 152.476231 \nL 244.091882 153.961728 \nL 244.008526 155.369533 \nL 244.07822 156.692454 \nL 244.298769 157.923272 \nL 244.667822 159.054632 \nL 245.182951 160.078972 \nL 245.841662 160.988475 \nL 246.641412 161.775005 \nL 247.579576 162.430086 \nL 248.653389 162.944889 \nL 249.859859 163.310244 \nL 251.195656 163.516696 \nL 252.656973 163.554561 \nL 254.239353 163.414061 \nL 255.937506 163.085493 \nL 257.745076 162.559438 \nL 259.65442 161.827068 \nL 261.656341 160.880505 \nL 263.739823 159.713241 \nL 265.891771 158.320694 \nL 268.096729 156.700777 \nL 270.336682 154.854576 \nL 272.590817 152.787065 \nL 274.835426 150.507854 \nL 277.043877 148.0319 \nL 279.186671 145.38015 \nL 281.23169 142.580038 \nL 283.14461 139.665749 \nL 284.889501 136.678186 \nL 286.429658 133.664515 \nL 287.728612 130.677321 \nL 288.751369 127.773204 \nL 289.465765 125.010949 \nL 289.843922 122.449298 \nL 289.863706 120.144398 \nL 289.510027 118.147198 \nL 288.775999 116.500966 \nL 287.663693 115.239133 \nL 286.184498 114.383748 \nL 284.359036 113.944658 \nL 282.216531 113.919518 \nL 279.793743 114.294574 \nL 277.133549 115.046159 \nL 274.283176 116.142676 \nL 271.292381 117.546876 \nL 268.211556 119.21818 \nL 265.090016 121.114868 \nL 261.974464 123.195917 \nL 258.907818 125.422466 \nL 255.928295 127.758827 \nL 253.068899 130.173101 \nL 250.357169 132.637409 \nL 247.81524 135.12786 \nL 245.460088 137.624296 \nL 243.303956 140.109908 \nL 241.354882 142.570791 \nL 239.61728 144.995469 \nL 238.092562 147.374447 \nL 236.779718 149.699787 \nL 235.675895 151.964724 \nL 234.776898 154.16335 \nL 234.077659 156.290339 \nL 233.572615 158.340706 \nL 233.256056 160.309606 \nL 233.122382 162.192174 \nL 233.166324 163.983358 \nL 233.383099 165.677816 \nL 233.768534 167.269759 \nL 234.319136 168.752866 \nL 235.032117 170.120177 \nL 235.905404 171.363968 \nL 236.937599 172.475667 \nL 238.127924 173.445753 \nL 239.476119 174.263641 \nL 240.982318 174.917635 \nL 242.646905 175.394838 \nL 244.470301 175.681114 \nL 246.452755 175.761092 \nL 248.594062 175.618176 \nL 250.893231 175.234694 \nL 253.348136 174.592064 \nL 255.955064 173.671104 \nL 258.708247 172.452496 \nL 261.599305 170.917395 \nL 264.616648 169.048262 \nL 267.744831 166.829915 \nL 270.96391 164.250864 \nL 274.248738 161.304849 \nL 277.56837 157.992674 \nL 280.885551 154.324205 \nL 284.156341 150.320445 \nL 287.330063 146.015528 \nL 290.349552 141.458449 \nL 293.151889 136.714193 \nL 295.66969 131.863971 \nL 297.83299 127.004287 \nL 299.571794 122.244473 \nL 300.819197 117.702628 \nL 301.514982 113.500003 \nL 301.609402 109.754081 \nL 301.066907 106.57107 \nL 299.869365 104.038499 \nL 298.01842 102.218876 \nL 295.536625 101.145428 \nL 292.46713 100.820448 \nL 288.871864 101.216432 \nL 284.828363 102.28005 \nL 280.425552 103.938004 \nL 275.758916 106.104099 \nL 270.925599 108.686421 \nL 266.019806 111.593775 \nL 261.128988 114.740874 \nL 256.330927 118.051772 \nL 251.691888 121.461873 \nL 247.265737 124.918401 \nL 243.093904 128.379964 \nL 239.206032 131.815317 \nL 235.621084 135.201869 \nL 232.348735 138.524011 \nL 229.390897 141.77157 \nL 226.743236 144.938431 \nL 224.396624 148.021394 \nL 222.338442 151.019223 \nL 220.553729 153.93198 \nL 219.026155 156.760478 \nL 217.738812 159.505941 \nL 216.674862 162.169722 \nL 215.81803 164.75314 \nL 215.152976 167.257385 \nL 214.665568 169.683434 \nL 214.343064 172.031997 \nL 214.174229 174.303493 \nL 214.149388 176.498034 \nL 214.260456 178.615381 \nL 214.50092 180.654916 \nL 214.865812 182.615595 \nL 215.351667 184.49592 \nL 215.956466 186.293852 \nL 216.679582 188.006754 \nL 217.521723 189.631296 \nL 218.484883 191.163362 \nL 219.572273 192.597909 \nL 220.788284 193.928841 \nL 222.138425 195.148827 \nL 223.629267 196.24912 \nL 225.268389 197.219351 \nL 227.064294 198.047271 \nL 229.026337 198.718484 \nL 231.164596 199.216162 \nL 233.489734 199.520719 \nL 236.012808 199.609491 \nL 238.74501 199.456407 \nL 241.697342 199.031682 \nL 244.880188 198.301581 \nL 248.302761 197.228265 \nL 251.972411 195.769823 \nL 255.893743 193.880533 \nL 260.067544 191.511518 \nL 264.489472 188.611871 \nL 269.148484 185.130467 \nL 274.025035 181.018635 \nL 279.089025 176.233825 \nL 284.297593 170.7445 \nL 289.592827 164.53625 \nL 294.899672 157.619074 \nL 300.124204 150.03548 \nL 305.152744 141.868665 \nL 309.85225 133.249684 \nL 314.072492 124.361965 \nL 317.650569 115.441287 \nL 320.418126 106.769199 \nL 322.211273 98.658582 \nL 322.882869 91.430924 \nL 322.316079 85.387175 \nL 320.437651 80.775747 \nL 317.228775 77.763292 \nL 312.731453 76.414409 \nL 307.04881 76.684929 \nL 300.338692 78.430995 \nL 292.8013 81.431685 \nL 284.662686 85.420314 \nL 276.156804 90.117405 \nL 267.508672 95.259289 \nL 258.920894 100.618243 \nL 250.56452 106.013041 \nL 235.049283 116.423249 \nL 221.619853 125.912428 \nL 215.759481 130.261282 \nL 210.461951 134.353446 \nL 205.702865 138.204622 \nL 201.447669 141.833771 \nL 197.655241 145.260475 \nL 194.280779 148.503315 \nL 191.278004 151.578947 \nL 188.600813 154.50174 \nL 184.046207 159.934327 \nL 180.286799 164.870255 \nL 172.600134 175.231997 \nL 169.655466 178.583073 \nL 168.126935 180.075942 \nL 166.537875 181.43916 \nL 164.872518 182.665106 \nL 163.116122 183.744677 \nL 161.254851 184.667136 \nL 159.27568 185.419971 \nL 157.166374 185.988746 \nL 154.915487 186.356944 \nL 152.51246 186.505836 \nL 149.947758 186.414384 \nL 147.213102 186.059168 \nL 144.301786 185.414439 \nL 141.209099 184.452266 \nL 137.932857 183.142857 \nL 134.47407 181.455113 \nL 130.837712 179.35747 \nL 127.033657 176.81911 \nL 123.077719 173.811621 \nL 118.992803 170.311208 \nL 114.810096 166.301411 \nL 110.570276 161.776452 \nL 106.324583 156.745047 \nL 102.135659 151.234538 \nL 98.077922 145.295077 \nL 94.237306 139.003244 \nL 90.710125 132.464592 \nL 87.600797 125.814237 \nL 85.018282 119.214721 \nL 83.071198 112.85047 \nL 81.861688 106.918519 \nL 81.47841 101.615807 \nL 81.989229 97.124106 \nL 83.434434 93.594279 \nL 85.821391 91.132386 \nL 89.121552 89.789787 \nL 93.270429 89.559376 \nL 98.170804 90.378523 \nL 103.698841 92.138324 \nL 109.712398 94.697218 \nL 116.060474 97.896653 \nL 122.592535 101.57604 \nL 129.166741 105.585083 \nL 135.656374 109.792272 \nL 141.954041 114.089372 \nL 147.973753 118.392466 \nL 153.651131 122.640388 \nL 158.942184 126.791653 \nL 163.82114 130.820656 \nL 168.277733 134.713859 \nL 172.314342 138.466408 \nL 175.943192 142.079253 \nL 179.183795 145.556957 \nL 182.060727 148.906064 \nL 184.601755 152.133954 \nL 186.836316 155.248128 \nL 188.794331 158.255736 \nL 190.505306 161.163372 \nL 191.997677 163.976945 \nL 193.298361 166.701685 \nL 195.423175 171.902508 \nL 197.057001 176.796161 \nL 198.345852 181.406176 \nL 199.883111 187.829168 \nL 202.080448 197.334634 \nL 203.513736 202.370479 \nL 204.619354 205.460732 \nL 205.899362 208.337782 \nL 207.403234 210.996554 \nL 209.185984 213.425248 \nL 210.201278 214.547163 \nL 211.310728 215.602711 \nL 212.523898 216.587169 \nL 213.851167 217.494677 \nL 215.303801 218.318015 \nL 216.894019 219.048351 \nL 218.635062 219.674939 \nL 220.541235 220.184759 \nL 222.627939 220.562106 \nL 224.911687 220.788103 \nL 227.410062 220.840148 \nL 230.141642 220.691299 \nL 233.125848 220.309564 \nL 236.382698 219.657171 \nL 239.932447 218.689783 \nL 243.795041 217.355748 \nL 247.989371 215.595432 \nL 252.532255 213.340771 \nL 257.437085 210.515201 \nL 262.71203 207.034209 \nL 268.357777 202.806841 \nL 274.364676 197.738569 \nL 280.70926 191.736029 \nL 287.350166 184.714223 \nL 294.223473 176.606672 \nL 301.237766 167.378945 \nL 308.269293 157.045435 \nL 315.157924 145.688595 \nL 321.704944 133.478648 \nL 327.673965 120.690104 \nL 332.796506 107.710094 \nL 336.78361 95.032217 \nL 339.344416 83.230037 \nL 340.211349 72.907513 \nL 339.169943 64.628892 \nL 336.08905 58.83876 \nL 330.945706 55.789776 \nL 323.838576 55.497951 \nL 314.985338 57.740291 \nL 304.703002 62.097502 \nL 293.374459 68.029967 \nL 281.408126 74.965407 \nL 257.0962 89.82892 \nL 234.281008 103.715984 \nL 214.39771 115.358381 \nL 197.916353 124.632827 \nL 154.291622 148.623282 \nL 149.893692 150.834735 \nL 146.053723 152.443229 \nL 144.269862 153.02782 \nL 142.546181 153.466688 \nL 140.864486 153.759257 \nL 139.21005 153.904407 \nL 137.571356 153.900742 \nL 135.939895 153.746841 \nL 134.309986 153.441521 \nL 132.678613 152.98409 \nL 131.045314 152.374623 \nL 129.412039 151.614252 \nL 127.783069 150.705435 \nL 126.164913 149.652255 \nL 124.566189 148.460697 \nL 122.997506 147.13895 \nL 121.471326 145.697603 \nL 120.001749 144.14988 \nL 118.604305 142.511749 \nL 117.29565 140.801947 \nL 116.093231 139.041922 \nL 115.014868 137.255627 \nL 114.078282 135.469187 \nL 113.30058 133.710395 \nL 112.6977 132.008094 \nL 112.283834 130.391405 \nL 112.070829 128.888894 \nL 112.067679 127.527671 \nL 112.280022 126.332466 \nL 112.709752 125.324806 \nL 113.354786 124.52228 \nL 114.208921 123.937954 \nL 115.261877 123.58005 \nL 116.499518 123.451786 \nL 117.904191 123.551509 \nL 119.455221 123.873022 \nL 121.129532 124.406073 \nL 122.90228 125.137013 \nL 124.747602 126.049538 \nL 126.639285 127.125427 \nL 130.459106 129.689219 \nL 134.168521 132.670471 \nL 137.602427 135.918834 \nL 140.63134 139.300977 \nL 143.162669 142.703739 \nL 145.137378 146.032902 \nL 145.905265 147.644762 \nL 146.523948 149.209603 \nL 146.992644 150.719221 \nL 147.311429 152.165825 \nL 147.481063 153.541896 \nL 147.502828 154.840087 \nL 147.378407 156.05312 \nL 147.109769 157.173673 \nL 146.699091 158.194348 \nL 146.148725 159.107576 \nL 145.461165 159.90559 \nL 144.639064 160.580374 \nL 143.685271 161.123675 \nL 142.602887 161.527006 \nL 141.395358 161.781676 \nL 140.066593 161.878856 \nL 138.621098 161.809711 \nL 137.06414 161.565513 \nL 135.401927 161.137846 \nL 133.641814 160.518858 \nL 131.792528 159.701578 \nL 129.864368 158.680277 \nL 127.869469 157.450907 \nL 125.821993 156.011624 \nL 123.738343 154.363329 \nL 121.63733 152.510277 \nL 119.540274 150.460715 \nL 117.471044 148.227452 \nL 115.455974 145.828428 \nL 113.52372 143.287156 \nL 111.704884 140.632949 \nL 110.031548 137.900938 \nL 108.536587 135.131807 \nL 107.252836 132.371085 \nL 106.212077 129.668137 \nL 105.443893 127.0747 \nL 104.974474 124.643094 \nL 104.825338 122.424174 \nL 105.012191 120.465139 \nL 105.543889 118.807399 \nL 106.42168 117.484641 \nL 107.638747 116.521295 \nL 109.180122 115.931583 \nL 111.023047 115.719188 \nL 113.13771 115.877551 \nL 115.488304 116.390847 \nL 118.034425 117.235408 \nL 120.732573 118.381522 \nL 123.537764 119.795321 \nL 126.405081 121.440671 \nL 129.291064 123.280912 \nL 132.154927 125.280287 \nL 134.959471 127.405049 \nL 137.671733 129.624209 \nL 140.263379 131.909989 \nL 142.710816 134.23794 \nL 144.995113 136.586923 \nL 147.101745 138.938868 \nL 149.020212 141.278456 \nL 150.74357 143.592759 \nL 152.267931 145.870857 \nL 153.591953 148.103469 \nL 154.716316 150.28258 \nL 155.64326 152.401168 \nL 156.376147 154.452889 \nL 156.919072 156.431875 \nL 157.276548 158.332503 \nL 157.453212 160.149222 \nL 157.453612 161.876399 \nL 157.28203 163.508193 \nL 156.942347 165.038405 \nL 156.437965 166.460391 \nL 155.771753 167.766939 \nL 154.946037 168.950173 \nL 153.96263 170.001478 \nL 152.822879 170.911383 \nL 151.527744 171.669528 \nL 150.077939 172.264574 \nL 148.474065 172.684175 \nL 146.716801 172.914971 \nL 144.807126 172.942604 \nL 142.746589 172.751813 \nL 140.537613 172.32657 \nL 138.18385 171.650338 \nL 135.690577 170.706387 \nL 133.065151 169.478309 \nL 130.317496 167.950614 \nL 127.46064 166.109568 \nL 124.511268 163.944192 \nL 121.490265 161.447499 \nL 118.423273 158.617871 \nL 115.341139 155.46066 \nL 112.280258 151.989848 \nL 109.282759 148.22973 \nL 106.396388 144.216414 \nL 103.674097 139.999018 \nL 101.173226 135.64024 \nL 98.954153 131.216152 \nL 97.078517 126.81491 \nL 95.606886 122.534251 \nL 94.595984 118.477718 \nL 94.095688 114.749728 \nL 94.145839 111.449798 \nL 94.77331 108.666384 \nL 95.989532 106.471158 \nL 97.788782 104.914178 \nL 100.147548 104.020842 \nL 103.025023 103.790876 \nL 106.364819 104.199636 \nL 110.09773 105.201327 \nL 114.145264 106.733817 \nL 118.423646 108.724287 \nL 122.847861 111.094899 \nL 127.335374 113.767954 \nL 131.809313 116.670033 \nL 136.200886 119.73497 \nL 140.450958 122.905514 \nL 144.510857 126.133951 \nL 148.342468 129.381887 \nL 151.91779 132.619436 \nL 155.218069 135.824077 \nL 158.232684 138.979405 \nL 160.957905 142.073884 \nL 163.395613 145.099706 \nL 165.55208 148.051835 \nL 167.436832 150.927206 \nL 169.061652 153.724098 \nL 170.439712 156.441646 \nL 171.58485 159.079481 \nL 172.510974 161.637467 \nL 173.231605 164.115527 \nL 173.7595 166.513481 \nL 174.106399 168.830969 \nL 174.282826 171.067357 \nL 174.297966 173.221687 \nL 174.159586 175.292605 \nL 173.873999 177.278314 \nL 173.446063 179.176501 \nL 172.879187 180.984272 \nL 172.175374 182.698048 \nL 171.335267 184.313495 \nL 170.358194 185.825409 \nL 169.242241 187.227554 \nL 167.984315 188.512549 \nL 166.580219 189.6717 \nL 165.024742 190.694803 \nL 163.311759 191.569947 \nL 161.434346 192.283294 \nL 159.384926 192.818837 \nL 157.155444 193.158169 \nL 154.737594 193.280233 \nL 152.123087 193.161119 \nL 149.303999 192.773865 \nL 146.273207 192.088359 \nL 143.024928 191.071349 \nL 139.555382 189.686621 \nL 135.863596 187.895428 \nL 131.952392 185.65725 \nL 127.82953 182.930985 \nL 123.509032 179.676756 \nL 119.012708 175.858324 \nL 114.371782 171.446369 \nL 109.628608 166.42262 \nL 104.83835 160.784805 \nL 100.070424 154.552364 \nL 95.40951 147.772452 \nL 90.955818 140.525741 \nL 86.824258 132.931032 \nL 83.142152 125.147605 \nL 80.045181 117.373888 \nL 77.671319 109.841303 \nL 76.152908 102.802474 \nL 75.607141 96.513946 \nL 76.12585 91.214641 \nL 77.765738 87.102826 \nL 80.540478 84.315234 \nL 84.416103 82.912403 \nL 89.310779 82.873254 \nL 95.099323 84.100321 \nL 101.622048 86.434592 \nL 108.69674 89.676791 \nL 116.132029 93.610874 \nL 123.740246 98.025457 \nL 131.348371 102.730323 \nL 138.805969 107.566476 \nL 145.989831 112.410079 \nL 152.80561 117.171546 \nL 159.186968 121.791425 \nL 165.093002 126.234686 \nL 170.50468 130.484766 \nL 175.420866 134.538105 \nL 179.854398 138.399574 \nL 183.828471 142.07897 \nL 187.37349 145.588477 \nL 190.52445 148.940932 \nL 193.318834 152.148767 \nL 195.794985 155.223355 \nL 197.990888 158.174739 \nL 201.68718 163.741036 \nL 204.678106 168.900774 \nL 208.34335 175.950178 \nL 211.577056 182.218909 \nL 213.739591 185.967373 \nL 216.049137 189.357445 \nL 217.292701 190.91052 \nL 218.612397 192.363071 \nL 220.020579 193.709322 \nL 221.529494 194.942212 \nL 223.151391 196.05323 \nL 224.898615 197.032196 \nL 226.783661 197.867017 \nL 228.819203 198.543437 \nL 231.018082 199.044728 \nL 233.393241 199.351396 \nL 235.957613 199.440849 \nL 238.723925 199.287076 \nL 241.704418 198.860346 \nL 244.910467 198.126979 \nL 248.352067 197.049202 \nL 252.037167 195.585185 \nL 255.970814 193.689327 \nL 260.154099 191.312901 \nL 264.582857 188.405222 \nL 269.246129 184.915469 \nL 274.124347 180.795374 \nL 279.187318 176.0029 \nL 284.39202 170.507162 \nL 289.680361 164.294544 \nL 294.97707 157.375964 \nL 300.188043 149.794947 \nL 305.199493 141.635727 \nL 309.87838 133.030328 \nL 314.074653 124.162937 \nL 317.625825 115.26972 \nL 320.364224 106.632055 \nL 322.126936 98.561976 \nL 322.768058 91.379392 \nL 322.172232 85.382979 \nL 320.267758 80.818391 \nL 317.037334 77.849435 \nL 312.524254 76.538057 \nL 306.832548 76.838188 \nL 300.120498 78.604925 \nL 292.588203 81.617346 \nL 284.46114 85.60964 \nL 275.972287 90.303803 \nL 267.345483 95.437963 \nL 258.782039 100.786196 \nL 250.451771 106.168852 \nL 234.989903 116.555135 \nL 221.610459 126.025142 \nL 215.772719 130.366795 \nL 210.495992 134.453332 \nL 205.75585 138.300339 \nL 201.517782 141.926619 \nL 197.740774 145.351593 \nL 194.380163 148.59368 \nL 191.389839 151.669415 \nL 188.723868 154.593038 \nL 184.188703 160.029161 \nL 180.445817 164.970758 \nL 172.794636 175.355457 \nL 169.863867 178.719754 \nL 168.342481 180.220305 \nL 166.760741 181.591991 \nL 165.1029 182.827296 \nL 163.354221 183.917186 \nL 161.500852 184.851024 \nL 159.529743 185.616387 \nL 157.428601 186.198941 \nL 155.185913 186.582251 \nL 152.79102 186.747687 \nL 150.234254 186.674269 \nL 147.507169 186.338619 \nL 144.602849 185.715007 \nL 141.516333 184.775457 \nL 138.245136 183.490067 \nL 134.789894 181.827532 \nL 131.155165 179.755954 \nL 127.350341 177.244054 \nL 123.390683 174.262785 \nL 119.298484 170.787478 \nL 115.104288 166.800596 \nL 110.848102 162.295032 \nL 106.580502 157.277935 \nL 102.363524 151.774901 \nL 98.27109 145.834191 \nL 94.38883 139.530523 \nL 90.813021 132.967758 \nL 87.648383 126.279727 \nL 85.004624 119.628353 \nL 82.991601 113.198314 \nL 81.713207 107.188012 \nL 81.260315 101.796895 \nL 81.703391 97.210335 \nL 83.085526 93.583626 \nL 85.416885 91.027593 \nL 88.671444 89.598252 \nL 92.786744 89.292418 \nL 97.666871 90.050271 \nL 103.188502 91.764295 \nL 109.209165 94.292928 \nL 115.576796 97.476419 \nL 122.139209 101.152107 \nL 128.752571 105.167144 \nL 135.287972 109.387383 \nL 141.635877 113.702139 \nL 147.708327 118.025407 \nL 153.439234 122.294403 \nL 158.783218 126.466467 \nL 163.713439 130.515199 \nL 168.218878 134.426624 \nL 172.301426 138.195665 \nL 175.973051 141.823238 \nL 179.253198 145.313976 \nL 182.166515 148.674548 \nL 184.740945 151.912499 \nL 187.006181 155.035493 \nL 188.992448 158.050851 \nL 190.729587 160.965295 \nL 192.24638 163.784861 \nL 193.570097 166.514894 \nL 195.738199 171.724433 \nL 197.413812 176.624671 \nL 198.745426 181.23931 \nL 200.832788 189.682584 \nL 202.705767 197.163397 \nL 203.718411 200.564913 \nL 204.85079 203.746584 \nL 206.152254 206.708385 \nL 207.674125 209.445277 \nL 209.472572 211.945394 \nL 210.495054 213.100473 \nL 211.611301 214.187451 \nL 212.830876 215.20158 \nL 214.164127 216.136965 \nL 215.622265 216.986351 \nL 217.217428 217.740878 \nL 218.962738 218.389768 \nL 220.872353 218.919985 \nL 222.961493 219.315823 \nL 225.246439 219.558428 \nL 227.744504 219.625257 \nL 230.473943 219.489475 \nL 233.453797 219.119282 \nL 236.70364 218.477183 \nL 240.243208 217.519252 \nL 244.091859 216.194422 \nL 248.267813 214.443851 \nL 252.787143 212.200544 \nL 257.662416 209.389339 \nL 262.900929 205.927527 \nL 268.502461 201.72641 \nL 274.45647 196.6942 \nL 280.738699 190.740782 \nL 287.307168 183.78482 \nL 294.097697 175.763763 \nL 301.019122 166.64702 \nL 307.94869 156.452238 \nL 314.728239 145.263831 \nL 321.162273 133.251705 \nL 327.019048 120.686842 \nL 332.036205 107.948691 \nL 335.93226 95.51854 \nL 338.424707 83.953536 \nL 339.254433 73.83856 \nL 338.214411 65.718953 \nL 335.178624 60.024212 \nL 330.125842 56.999135 \nL 323.152356 56.661345 \nL 314.469413 58.79896 \nL 304.384362 63.010875 \nL 293.268672 68.778778 \nL 281.519262 75.550632 \nL 257.615435 90.148043 \nL 235.13617 103.892364 \nL 215.504426 115.50967 \nL 199.20116 124.845008 \nL 167.585918 142.791354 \nL 153.583442 150.897141 \nL 149.471769 152.976503 \nL 145.770857 154.453591 \nL 144.010839 154.967204 \nL 142.284943 155.32915 \nL 140.577914 155.537298 \nL 138.877706 155.589112 \nL 137.175303 155.481956 \nL 135.464538 155.213311 \nL 133.741982 154.781063 \nL 132.006819 154.18379 \nL 130.260771 153.421056 \nL 128.508042 152.493759 \nL 126.755222 151.404444 \nL 125.011252 150.157664 \nL 123.287323 148.760331 \nL 121.596759 147.222036 \nL 119.954893 145.555356 \nL 118.378837 143.776048 \nL 116.887224 141.903208 \nL 115.499862 139.959295 \nL 114.237317 137.969989 \nL 113.120423 135.963901 \nL 112.169677 133.972079 \nL 111.404628 132.027343 \nL 110.843148 130.16346 \nL 110.500776 128.414105 \nL 110.38999 126.811801 \nL 110.519585 125.386759 \nL 110.894143 124.165771 \nL 111.513626 123.171238 \nL 112.373133 122.420355 \nL 113.462878 121.92457 \nL 114.768346 121.689304 \nL 116.270671 121.714017 \nL 117.947166 121.992543 \nL 119.772035 122.513683 \nL 121.717186 123.261988 \nL 123.753074 124.21869 \nL 125.84959 125.362637 \nL 127.976862 126.671249 \nL 130.106035 128.121364 \nL 134.263275 131.354863 \nL 138.131082 134.890538 \nL 141.561705 138.578206 \nL 144.451427 142.2936 \nL 145.672104 144.129517 \nL 146.73628 145.936329 \nL 147.640915 147.704403 \nL 148.38442 149.424926 \nL 148.966398 151.08973 \nL 149.387389 152.691118 \nL 149.648639 154.221724 \nL 149.751915 155.674365 \nL 149.699326 157.041924 \nL 149.493203 158.317244 \nL 149.135986 159.493011 \nL 148.63017 160.561698 \nL 147.978254 161.51548 \nL 147.18275 162.346187 \nL 146.246203 163.045264 \nL 145.171245 163.603764 \nL 143.960677 164.012327 \nL 142.617591 164.261243 \nL 141.145507 164.340501 \nL 139.548537 164.239895 \nL 137.831594 163.949201 \nL 136.000607 163.458357 \nL 134.062775 162.757781 \nL 132.026823 161.838696 \nL 129.903303 160.693593 \nL 127.704857 159.316734 \nL 125.446529 157.70478 \nL 123.14601 155.857491 \nL 120.823881 153.778455 \nL 118.503768 151.47591 \nL 116.212425 148.96353 \nL 113.979701 146.261147 \nL 111.838345 143.395358 \nL 109.823625 140.399909 \nL 107.972772 137.315765 \nL 106.324156 134.190776 \nL 104.916258 131.078905 \nL 103.786405 128.03886 \nL 102.969372 125.132277 \nL 102.495806 122.421374 \nL 102.390673 119.966306 \nL 102.671778 117.822294 \nL 103.34851 116.036907 \nL 104.420885 114.64764 \nL 105.879056 113.680064 \nL 107.703316 113.146782 \nL 109.864638 113.047281 \nL 112.325729 113.368613 \nL 115.042526 114.086957 \nL 117.966013 115.169705 \nL 121.044198 116.577878 \nL 124.224129 118.268706 \nL 127.453777 120.197984 \nL 130.683722 122.322173 \nL 133.868451 124.59998 \nL 136.967381 126.993532 \nL 139.945447 129.469032 \nL 142.773384 131.997065 \nL 145.427705 134.552525 \nL 147.890424 137.114382 \nL 150.148626 139.665218 \nL 152.1939 142.190768 \nL 154.021699 144.679386 \nL 155.630706 147.121567 \nL 157.022173 149.509459 \nL 158.199338 151.836478 \nL 159.166854 154.09697 \nL 159.930309 156.285903 \nL 160.495806 158.398609 \nL 160.869603 160.430591 \nL 161.057833 162.377347 \nL 161.066264 164.234209 \nL 160.900126 165.996229 \nL 160.563989 167.658045 \nL 160.061685 169.213749 \nL 159.396256 170.656816 \nL 158.569954 171.979968 \nL 157.584265 173.17507 \nL 156.439955 174.233037 \nL 155.137166 175.143722 \nL 153.675522 175.895812 \nL 152.054272 176.476764 \nL 150.272474 176.872722 \nL 148.329202 177.068462 \nL 146.223806 177.047406 \nL 143.95621 176.791683 \nL 141.527278 176.282248 \nL 138.939213 175.499126 \nL 136.196039 174.421764 \nL 133.304141 173.02956 \nL 130.272862 171.302598 \nL 127.115164 169.222611 \nL 123.848338 166.774196 \nL 120.494733 163.946341 \nL 117.082462 160.734198 \nL 113.646056 157.141168 \nL 110.226983 153.181114 \nL 106.873964 148.880641 \nL 103.642946 144.281235 \nL 100.596658 139.440972 \nL 97.80365 134.435487 \nL 95.336654 129.357782 \nL 93.270277 124.316633 \nL 91.677975 119.433195 \nL 90.62845 114.835836 \nL 90.181592 110.653326 \nL 90.384317 107.006803 \nL 91.266712 104.001404 \nL 92.838842 101.718579 \nL 95.08877 100.209997 \nL 97.981981 99.49417 \nL 101.462549 99.556183 \nL 105.455861 100.350617 \nL 109.872718 101.80712 \nL 114.614325 103.837835 \nL 119.57771 106.345386 \nL 124.660943 109.23051 \nL 129.767696 112.398416 \nL 134.810887 115.763373 \nL 139.715169 119.251575 \nL 144.418302 122.802193 \nL 148.871526 126.367206 \nL 153.039098 129.910254 \nL 156.897249 133.405033 \nL 160.43275 136.833441 \nL 163.641291 140.183789 \nL 166.525801 143.449201 \nL 169.094861 146.626253 \nL 171.361221 149.71389 \nL 173.340511 152.712576 \nL 175.050139 155.623689 \nL 176.508375 158.44907 \nL 177.733619 161.190748 \nL 178.743828 163.850736 \nL 179.556089 166.4309 \nL 180.186298 168.932893 \nL 180.648952 171.35812 \nL 180.957012 173.707719 \nL 181.121832 175.982537 \nL 181.153127 178.183116 \nL 181.058992 180.309693 \nL 180.845926 182.362167 \nL 180.518882 184.340066 \nL 180.081327 186.242526 \nL 179.535303 188.068236 \nL 178.881488 189.815369 \nL 178.11925 191.481522 \nL 177.246707 193.063613 \nL 176.26077 194.557792 \nL 175.157195 195.959304 \nL 173.930614 197.262346 \nL 172.574578 198.459901 \nL 171.081596 199.54354 \nL 169.443174 200.503195 \nL 167.649867 201.326911 \nL 165.691347 202.000556 \nL 163.556489 202.507494 \nL 161.233493 202.828253 \nL 158.710047 202.940136 \nL 155.973542 202.816856 \nL 153.011394 202.42815 \nL 149.811413 201.739442 \nL 146.362346 200.711596 \nL 142.654532 199.300793 \nL 138.680783 197.458659 \nL 134.437436 195.132716 \nL 129.925711 192.267342 \nL 125.153311 188.805402 \nL 120.136328 184.690769 \nL 114.901464 179.87193 \nL 109.488467 174.306944 \nL 103.952722 167.969872 \nL 98.367815 160.858626 \nL 92.827756 153.004067 \nL 87.448474 144.479638 \nL 82.368101 135.410402 \nL 77.745354 125.979733 \nL 73.755442 116.431504 \nL 70.582945 107.065237 \nL 68.411397 98.222199 \nL 67.409968 90.261622 \nL 67.71807 83.528164 \nL 69.429764 78.314711 \nL 72.580301 74.826602 \nL 77.137376 73.155084 \nL 82.999225 73.266197 \nL 90.000598 75.008599 \nL 97.926047 78.138503 \nL 106.528472 82.35595 \nL 115.549868 87.344061 \nL 124.740929 92.803458 \nL 133.876969 98.47662 \nL 151.267229 109.708424 \nL 166.693419 120.058015 \nL 179.723863 129.205902 \nL 185.329944 133.33474 \nL 190.362195 137.192193 \nL 194.859451 140.801955 \nL 198.867315 144.187694 \nL 202.435018 147.371356 \nL 205.613047 150.372251 \nL 210.998404 155.888104 \nL 215.39864 160.831242 \nL 224.128855 170.967804 \nL 227.352232 174.142981 \nL 229.001616 175.529002 \nL 230.701455 176.772134 \nL 232.468602 177.864198 \nL 234.318402 178.79551 \nL 236.264812 179.554802 \nL 238.320469 180.129144 \nL 240.496719 180.503857 \nL 242.803569 180.662486 \nL 245.249583 180.586755 \nL 247.841708 180.256637 \nL 250.584992 179.650485 \nL 253.482262 178.745255 \nL 256.533659 177.51692 \nL 259.736113 175.941084 \nL 263.082692 173.993797 \nL 266.561898 171.65271 \nL 270.156829 168.898573 \nL 273.844361 165.71706 \nL 277.594263 162.101056 \nL 281.368415 158.053214 \nL 285.120136 153.588829 \nL 288.793812 148.738787 \nL 292.324858 143.552333 \nL 295.640282 138.09929 \nL 298.659908 132.471306 \nL 301.298447 126.781523 \nL 303.468465 121.162316 \nL 305.084279 115.760598 \nL 306.066624 110.730752 \nL 306.347813 106.225368 \nL 305.877002 102.384621 \nL 304.624919 99.325463 \nL 302.587562 97.132087 \nL 299.7882 95.849154 \nL 296.277363 95.478945 \nL 292.130601 95.98289 \nL 287.444251 97.287264 \nL 282.329608 99.291914 \nL 276.90627 101.880709 \nL 271.295303 104.932023 \nL 265.613047 108.327789 \nL 259.966014 111.96044 \nL 254.447206 115.737222 \nL 249.133966 119.582164 \nL 244.087164 123.436013 \nL 239.35158 127.254839 \nL 234.957078 131.007858 \nL 230.920364 134.674915 \nL 227.247012 138.244063 \nL 223.933541 141.709377 \nL 220.969451 145.06911 \nL 218.339044 148.32429 \nL 216.023046 151.477597 \nL 213.999962 154.532627 \nL 212.247195 157.493336 \nL 210.741932 160.363732 \nL 209.461822 163.147642 \nL 208.385479 165.848621 \nL 207.492845 168.469904 \nL 206.765417 171.014404 \nL 206.186389 173.484714 \nL 205.415108 178.21175 \nL 205.079571 182.666536 \nL 205.106874 186.861163 \nL 205.448023 190.804695 \nL 206.075009 194.503144 \nL 206.97818 197.959081 \nL 208.16417 201.170778 \nL 209.654526 204.130858 \nL 210.524468 205.512221 \nL 211.485013 206.824306 \nL 212.542845 208.063567 \nL 213.705556 209.225556 \nL 214.981676 210.304763 \nL 216.380687 211.294424 \nL 217.913061 212.186278 \nL 219.590276 212.97033 \nL 221.424835 213.634522 \nL 223.430261 214.164374 \nL 225.62108 214.542582 \nL 228.012776 214.748542 \nL 230.621682 214.757832 \nL 233.464834 214.541644 \nL 236.559724 214.066162 \nL 239.923963 213.291953 \nL 243.574781 212.173374 \nL 247.528375 210.658061 \nL 251.798992 208.686635 \nL 256.397764 206.192708 \nL 261.331181 203.103435 \nL 266.599167 199.340808 \nL 272.192694 194.824082 \nL 278.090891 189.473661 \nL 284.257692 183.216901 \nL 290.638023 175.99623 \nL 297.153777 167.779827 \nL 303.699831 158.574859 \nL 310.140721 148.442715 \nL 316.308625 137.514733 \nL 322.003755 126.00603 \nL 326.998169 114.223707 \nL 331.044242 102.564939 \nL 333.888481 91.500403 \nL 335.290765 81.540211 \nL 335.047704 73.183068 \nL 333.017515 66.854568 \nL 329.142263 62.84621 \nL 323.462831 61.269467 \nL 316.122442 62.038281 \nL 307.35679 64.885951 \nL 297.471793 69.412863 \nL 286.813066 75.151993 \nL 275.732901 81.63538 \nL 253.581544 95.25511 \nL 223.776348 113.699502 \nL 188.685971 135.27092 \nL 179.309263 141.337292 \nL 171.892685 146.391809 \nL 154.855616 158.321722 \nL 152.968936 159.395907 \nL 151.122933 160.314255 \nL 149.295211 161.073085 \nL 147.466678 161.667575 \nL 145.621348 162.091945 \nL 143.746161 162.339636 \nL 141.830852 162.403515 \nL 139.867854 162.27609 \nL 137.852271 161.949749 \nL 135.781854 161.417066 \nL 133.657059 160.671141 \nL 131.481109 159.706039 \nL 129.260088 158.517231 \nL 127.003076 157.102173 \nL 124.722241 155.460925 \nL 122.432945 153.596818 \nL 120.153821 151.517157 \nL 117.90677 149.23393 \nL 115.716854 146.764484 \nL 113.61212 144.132078 \nL 111.623248 141.366261 \nL 109.783024 138.503032 \nL 108.125658 135.584632 \nL 106.685855 132.659005 \nL 105.497756 129.778719 \nL 104.593669 126.999535 \nL 104.00272 124.378483 \nL 103.749441 121.971624 \nL 103.85242 119.831585 \nL 104.323072 118.005139 \nL 105.16469 116.530919 \nL 106.371834 115.43757 \nL 107.930139 114.742552 \nL 109.816564 114.451549 \nL 112.000142 114.558809 \nL 114.443124 115.04806 \nL 117.102451 115.894129 \nL 119.931435 117.064886 \nL 122.881568 118.523461 \nL 125.904238 120.230395 \nL 128.952344 122.145631 \nL 131.981633 124.230156 \nL 134.951774 126.447277 \nL 137.827101 128.763455 \nL 140.577035 131.148813 \nL 143.176244 133.577293 \nL 145.604529 136.026556 \nL 147.846543 138.477728 \nL 149.89136 140.915011 \nL 151.731953 143.32527 \nL 153.364628 145.697569 \nL 154.788445 148.022781 \nL 156.004659 150.293164 \nL 157.016177 152.502048 \nL 157.827101 154.643491 \nL 158.442292 156.712071 \nL 158.867008 158.702635 \nL 159.106602 160.610113 \nL 159.166283 162.429375 \nL 159.050916 164.155071 \nL 158.764877 165.781505 \nL 158.311965 167.30252 \nL 157.695336 168.711405 \nL 156.917485 170.000767 \nL 155.980261 171.16244 \nL 154.884899 172.187379 \nL 153.63212 173.065585 \nL 152.222221 173.786009 \nL 150.655207 174.336494 \nL 148.930986 174.703733 \nL 147.049556 174.873227 \nL 145.011267 174.829351 \nL 142.817109 174.555397 \nL 140.46906 174.033769 \nL 137.970468 173.246237 \nL 135.326507 172.174295 \nL 132.54468 170.799748 \nL 129.635376 169.105402 \nL 126.612456 167.076005 \nL 123.493891 164.699399 \nL 120.302401 161.967954 \nL 117.066042 158.880179 \nL 113.818749 155.442549 \nL 110.600697 151.671461 \nL 107.458498 147.595148 \nL 104.445051 143.255397 \nL 101.619004 138.708833 \nL 99.043756 134.027506 \nL 96.785854 129.298407 \nL 94.91282 124.62173 \nL 93.490419 120.107654 \nL 92.579392 115.871625 \nL 92.231952 112.028309 \nL 92.488191 108.684726 \nL 93.372823 105.933149 \nL 94.89255 103.844685 \nL 97.034522 102.46429 \nL 99.765967 101.808113 \nL 103.035326 101.863327 \nL 106.774652 102.590679 \nL 110.903198 103.929167 \nL 115.331742 105.802222 \nL 119.96722 108.124471 \nL 124.717272 110.808144 \nL 129.494208 113.768553 \nL 134.218219 116.928222 \nL 138.819646 120.219443 \nL 143.240281 123.585436 \nL 147.433804 126.980431 \nL 151.365503 130.368884 \nL 155.011455 133.724216 \nL 158.357334 137.027331 \nL 161.397032 140.26512 \nL 164.131216 143.429053 \nL 166.5659 146.51401 \nL 168.711133 149.51726 \nL 170.579812 152.437715 \nL 172.186674 155.275306 \nL 173.547423 158.030574 \nL 174.678048 160.704357 \nL 175.594253 163.297562 \nL 176.311037 165.81103 \nL 176.842373 168.245444 \nL 177.200985 170.601251 \nL 177.39819 172.878613 \nL 177.443811 175.077376 \nL 177.346135 177.197035 \nL 177.111898 179.236673 \nL 176.746299 181.194937 \nL 176.253043 183.069978 \nL 175.634377 184.859382 \nL 174.891139 186.560082 \nL 174.022823 188.168285 \nL 173.02763 189.679334 \nL 171.902527 191.087602 \nL 170.643307 192.386328 \nL 169.244651 193.56746 \nL 167.700197 194.62144 \nL 166.00261 195.537014 \nL 164.143683 196.300956 \nL 162.114438 196.89783 \nL 159.905275 197.309694 \nL 157.506148 197.5158 \nL 154.90679 197.492303 \nL 152.097027 197.211979 \nL 149.067144 196.644 \nL 145.808392 195.753776 \nL 142.313595 194.502942 \nL 138.577929 192.849569 \nL 134.599876 190.748659 \nL 130.382377 188.153069 \nL 125.934217 185.015005 \nL 121.271637 181.288221 \nL 116.420149 176.931113 \nL 111.416536 171.910823 \nL 106.31094 166.208487 \nL 101.168836 159.825535 \nL 96.072759 152.790824 \nL 91.123374 145.168123 \nL 86.439596 137.063064 \nL 82.157143 128.628255 \nL 78.425266 120.064977 \nL 75.401052 111.619686 \nL 73.241321 103.573891 \nL 72.092149 96.226625 \nL 72.076863 89.87033 \nL 73.283574 84.762527 \nL 75.754092 81.097782 \nL 79.476047 78.984948 \nL 84.379899 78.434866 \nL 90.341852 79.361426 \nL 97.192568 81.596076 \nL 104.730561 84.912498 \nL 112.738187 89.056081 \nL 120.997791 93.772302 \nL 129.305871 98.82943 \nL 137.483773 104.03295 \nL 145.384223 109.231863 \nL 152.893927 114.318088 \nL 159.932915 119.221391 \nL 166.451599 123.902161 \nL 172.426494 128.343641 \nL 177.855396 132.544861 \nL 182.752613 136.514823 \nL 187.144591 140.268005 \nL 191.06615 143.821261 \nL 194.557363 147.191689 \nL 197.661089 150.395371 \nL 200.421088 153.446676 \nL 202.880622 156.357969 \nL 207.063331 161.799898 \nL 210.51597 166.781398 \nL 217.589827 177.398203 \nL 220.311184 180.913071 \nL 221.727386 182.503746 \nL 223.20255 183.97669 \nL 224.751878 185.325436 \nL 226.389784 186.542143 \nL 228.130026 187.617432 \nL 229.985818 188.540233 \nL 231.969897 189.297599 \nL 234.094535 189.874504 \nL 236.37152 190.253645 \nL 238.81206 190.415249 \nL 241.426616 190.336898 \nL 244.224677 189.993405 \nL 247.214403 189.35676 \nL 250.402202 188.396188 \nL 253.792144 187.078387 \nL 257.385257 185.367977 \nL 261.178659 183.228273 \nL 265.164553 180.62248 \nL 269.329006 177.515378 \nL 273.650652 173.875603 \nL 278.099231 169.678647 \nL 282.634118 164.910595 \nL 287.202887 159.57256 \nL 291.740133 153.685659 \nL 296.166669 147.296242 \nL 300.389452 140.480777 \nL 304.302475 133.349682 \nL 307.788925 126.049084 \nL 310.724928 118.759396 \nL 312.984945 111.689783 \nL 314.448838 105.067865 \nL 315.010166 99.124782 \nL 314.58513 94.076765 \nL 313.121107 90.105365 \nL 310.603596 87.339437 \nL 307.060391 85.842004 \nL 302.56208 85.60481 \nL 297.218476 86.55175 \nL 291.171288 88.550406 \nL 284.583964 91.429536 \nL 277.630154 94.998993 \nL 270.482287 99.06849 \nL 263.301616 103.462796 \nL 256.230683 108.031649 \nL 249.388542 112.654568 \nL 242.868679 117.241129 \nL 236.739177 121.728299 \nL 231.044561 126.075998 \nL 225.808673 130.262105 \nL 221.038078 134.277604 \nL 216.725553 138.122487 \nL 212.853383 141.802379 \nL 209.396306 145.326058 \nL 206.324025 148.703696 \nL 203.60326 151.945689 \nL 201.199377 155.061952 \nL 199.077638 158.061529 \nL 197.20411 160.952407 \nL 194.073605 166.434745 \nL 191.571638 171.552687 \nL 189.496426 176.336777 \nL 184.288547 188.851273 \nL 182.498189 192.428226 \nL 180.522254 195.698361 \nL 179.438307 197.212694 \nL 178.276485 198.642009 \nL 177.026251 199.981777 \nL 175.676833 201.226373 \nL 174.217112 202.36892 \nL 172.635546 203.40107 \nL 170.920098 204.312769 \nL 169.058183 205.091987 \nL 167.036651 205.724406 \nL 164.841799 206.193068 \nL 162.45942 206.477995 \nL 159.874912 206.555759 \nL 157.073442 206.399054 \nL 154.040207 205.976238 \nL 150.760804 205.250919 \nL 147.221723 204.181611 \nL 143.411018 202.721495 \nL 139.319173 200.818457 \nL 134.940228 198.415425 \nL 130.273174 195.451261 \nL 125.323683 191.862345 \nL 120.106174 187.585167 \nL 114.64626 182.560107 \nL 108.983461 176.736794 \nL 103.174174 170.081122 \nL 97.294672 162.584108 \nL 91.443764 154.272254 \nL 85.744815 145.218824 \nL 80.346358 135.554687 \nL 75.420683 125.47679 \nL 71.159597 115.251549 \nL 67.766645 105.210215 \nL 65.445536 95.733418 \nL 64.384895 87.223855 \nL 64.740552 80.068296 \nL 66.617481 74.593519 \nL 70.054055 71.024166 \nL 75.011984 69.45167 \nL 81.374357 69.822359 \nL 88.953067 71.948551 \nL 97.504839 75.540065 \nL 106.75321 80.248579 \nL 116.412647 85.714142 \nL 126.210855 91.604511 \nL 145.299064 103.611928 \nL 162.610401 114.823489 \nL 177.444646 124.677834 \nL 189.662871 133.146492 \nL 199.475751 140.418807 \nL 207.264581 146.720026 \nL 213.462256 152.235878 \nL 218.486355 157.094654 \nL 228.206507 166.764837 \nL 231.675137 169.669725 \nL 233.424484 170.90348 \nL 235.210833 171.982837 \nL 237.051642 172.899584 \nL 238.96234 173.644096 \nL 240.956455 174.205345 \nL 243.045674 174.570887 \nL 245.239855 174.726921 \nL 247.546975 174.658341 \nL 249.973016 174.348876 \nL 252.52177 173.781308 \nL 255.194587 172.93774 \nL 257.990046 171.800087 \nL 260.903543 170.35064 \nL 263.926821 168.572882 \nL 267.047463 166.452487 \nL 270.248296 163.978572 \nL 273.506866 161.145176 \nL 276.794859 157.952994 \nL 280.077686 154.411247 \nL 283.31416 150.539682 \nL 286.456434 146.370461 \nL 289.450289 141.949833 \nL 292.235803 137.339236 \nL 294.748551 132.615651 \nL 296.921392 127.870787 \nL 298.686836 123.208907 \nL 299.979999 118.743143 \nL 300.741974 114.59032 \nL 300.92347 110.86459 \nL 300.48836 107.670259 \nL 299.416846 105.094753 \nL 297.707838 103.2025 \nL 295.3802 102.030475 \nL 292.472692 101.586196 \nL 289.042434 101.848427 \nL 285.162107 102.770449 \nL 280.916071 104.285316 \nL 276.395839 106.312401 \nL 271.695396 108.764224 \nL 266.906736 111.55269 \nL 262.116074 114.594259 \nL 257.400866 117.813663 \nL 252.827832 121.145986 \nL 248.451911 124.537531 \nL 244.316072 127.945541 \nL 240.45178 131.33724 \nL 236.879958 134.688453 \nL 233.612261 137.982089 \nL 230.652521 141.206622 \nL 227.998186 144.354774 \nL 225.641744 147.422323 \nL 223.57201 150.407222 \nL 221.77526 153.30883 \nL 220.236215 156.127403 \nL 218.938853 158.863678 \nL 217.867061 161.518622 \nL 217.005155 164.093204 \nL 216.338279 166.588304 \nL 215.852683 169.004608 \nL 215.535936 171.342552 \nL 215.377048 173.602283 \nL 215.36655 175.783621 \nL 215.496524 177.886016 \nL 215.760606 179.90852 \nL 216.153962 181.849735 \nL 216.673247 183.707754 \nL 217.316567 185.480091 \nL 218.083412 187.163606 \nL 218.974612 188.754409 \nL 219.992272 190.24775 \nL 221.139719 191.637864 \nL 222.421442 192.917837 \nL 223.843029 194.079437 \nL 225.411106 195.112897 \nL 227.13325 196.006699 \nL 229.01791 196.747333 \nL 231.074285 197.319011 \nL 233.312183 197.703392 \nL 235.741846 197.879266 \nL 238.373697 197.822267 \nL 241.218047 197.504578 \nL 244.284689 196.894709 \nL 247.582395 195.957343 \nL 251.11828 194.653354 \nL 254.897005 192.940024 \nL 258.919787 190.771574 \nL 263.183214 188.100159 \nL 267.677811 184.877441 \nL 272.38641 181.056903 \nL 277.282243 176.597073 \nL 282.326945 171.465816 \nL 287.468417 165.645782 \nL 292.638818 159.140894 \nL 297.752898 151.9837 \nL 302.706947 144.242959 \nL 307.378863 136.030572 \nL 311.629746 127.50652 \nL 315.307531 118.880064 \nL 318.25297 110.405498 \nL 320.30823 102.370988 \nL 321.3277 95.079844 \nL 321.190366 88.825293 \nL 319.812378 83.861433 \nL 317.158012 80.37502 \nL 313.247157 78.463449 \nL 308.157609 78.123843 \nL 302.021305 79.256119 \nL 295.014742 81.679376 \nL 287.344878 85.158134 \nL 279.232713 89.432508 \nL 270.897043 94.246585 \nL 262.540486 99.370419 \nL 254.33925 104.613431 \nL 246.437092 109.829606 \nL 231.933522 119.807258 \nL 225.453552 124.467666 \nL 219.523302 128.883619 \nL 214.141973 133.056445 \nL 209.292808 136.99671 \nL 204.947439 140.719914 \nL 201.069598 144.243481 \nL 197.618168 147.584778 \nL 194.549575 150.759946 \nL 191.819616 153.783293 \nL 187.203205 159.421339 \nL 183.443779 164.572377 \nL 173.293851 179.215659 \nL 170.443665 182.428178 \nL 168.932287 183.85549 \nL 167.342903 185.15464 \nL 165.661189 186.317203 \nL 163.873486 187.333186 \nL 161.966706 188.19084 \nL 159.928288 188.876465 \nL 157.746179 189.374237 \nL 155.408909 189.666014 \nL 152.905679 189.731157 \nL 150.22658 189.54639 \nL 147.36285 189.0857 \nL 144.307253 188.320354 \nL 141.054576 187.219042 \nL 137.602237 185.748188 \nL 133.951057 183.872564 \nL 130.106165 181.556215 \nL 126.078072 178.763853 \nL 121.883891 175.462759 \nL 117.548685 171.625343 \nL 113.106894 167.232381 \nL 108.603751 162.276947 \nL 104.096561 156.768989 \nL 99.655698 150.740303 \nL 95.365066 144.249458 \nL 91.32177 137.386178 \nL 87.634695 130.274161 \nL 84.421703 123.071515 \nL 81.805305 115.96765 \nL 79.906675 109.17593 \nL 78.838181 102.921619 \nL 78.695026 97.425881 \nL 79.546627 92.887135 \nL 81.428891 89.462341 \nL 84.338552 87.251376 \nL 88.230574 86.287242 \nL 93.019341 86.534368 \nL 98.583673 87.895257 \nL 104.775195 90.22427 \nL 111.428877 93.345731 \nL 118.374302 97.073019 \nL 125.44627 101.225491 \nL 132.493594 105.641205 \nL 139.385344 110.184506 \nL 146.01448 114.748957 \nL 152.298961 119.256439 \nL 158.180936 123.653802 \nL 163.624525 127.908361 \nL 168.612802 132.003093 \nL 173.14444 135.932218 \nL 177.230369 139.697474 \nL 180.890696 143.305216 \nL 184.151983 146.764253 \nL 187.044969 150.084366 \nL 189.602717 153.275349 \nL 191.859158 156.346417 \nL 193.847992 159.305919 \nL 195.601895 162.161219 \nL 198.52739 167.583778 \nL 200.860395 172.654538 \nL 202.791619 177.402194 \nL 207.623775 189.869662 \nL 209.282389 193.455606 \nL 211.113059 196.751396 \nL 213.194829 199.74175 \nL 214.354516 201.114571 \nL 215.606922 202.399905 \nL 216.96262 203.591963 \nL 218.432632 204.683668 \nL 220.028521 205.666427 \nL 221.762446 206.529882 \nL 223.647207 207.261632 \nL 225.696259 207.846882 \nL 227.923698 208.268097 \nL 230.344211 208.50457 \nL 232.972954 208.531972 \nL 235.825384 208.321885 \nL 238.916987 207.841307 \nL 242.262896 207.052199 \nL 245.877371 205.911087 \nL 249.773095 204.368796 \nL 253.960264 202.370457 \nL 258.445392 199.855842 \nL 263.229841 196.760284 \nL 268.307969 193.01635 \nL 273.664919 188.556589 \nL 279.274014 183.317627 \nL 285.093824 177.24592 \nL 291.064961 170.305385 \nL 297.10686 162.487013 \nL 303.114885 153.820191 \nL 308.958207 144.384949 \nL 314.479137 134.323732 \nL 319.494788 123.850398 \nL 323.801817 113.253476 \nL 327.185044 102.890313 \nL 329.430323 93.169181 \nL 330.341266 84.518175 \nL 329.758497 77.342681 \nL 327.579157 71.977048 \nL 323.773268 68.63951 \nL 318.393629 67.400866 \nL 311.576453 68.1754 \nL 303.531749 70.737205 \nL 294.52462 74.75827 \nL 284.850695 79.85847 \nL 274.810126 85.655811 \nL 264.684314 91.806733 \nL 245.111344 104.121234 \nL 219.692885 120.488456 \nL 206.0959 129.507111 \nL 195.104223 137.160365 \nL 186.363076 143.699641 \nL 179.428643 149.348253 \nL 173.855822 154.267304 \nL 163.382294 163.911182 \nL 159.79073 166.76792 \nL 158.008505 167.973614 \nL 156.206246 169.023369 \nL 154.36536 169.909829 \nL 152.469622 170.624311 \nL 150.505011 171.156857 \nL 148.459634 171.496274 \nL 146.323696 171.630224 \nL 144.089508 171.545323 \nL 141.751575 171.227321 \nL 139.30674 170.661346 \nL 136.754406 169.832249 \nL 134.096791 168.725045 \nL 131.339271 167.32552 \nL 128.490762 165.620976 \nL 125.564148 163.601178 \nL 122.576693 161.259474 \nL 119.550493 158.594083 \nL 116.512856 155.609577 \nL 113.496578 152.318416 \nL 110.540069 148.742495 \nL 107.687269 144.914618 \nL 104.987272 140.879621 \nL 102.493561 136.69503 \nL 100.262854 132.431008 \nL 98.353434 128.169325 \nL 96.823069 124.001286 \nL 95.726498 120.024448 \nL 95.112609 116.338253 \nL 95.021491 113.03882 \nL 95.481612 110.213294 \nL 96.507382 107.934357 \nL 98.097363 106.255509 \nL 100.233407 105.207783 \nL 102.880834 104.798253 \nL 105.989743 105.010613 \nL 109.497316 105.807702 \nL 113.330947 107.135538 \nL 117.411869 108.92829 \nL 121.658955 111.113652 \nL 125.992311 113.61776 \nL 130.336434 116.369422 \nL 134.622733 119.303184 \nL 138.791264 122.361391 \nL 142.791745 125.495089 \nL 146.58388 128.6641 \nL 150.137122 131.83651 \nL 153.43 134.98771 \nL 156.449158 138.09929 \nL 159.188231 141.157882 \nL 161.646655 144.154076 \nL 163.828486 147.081458 \nL 165.741304 149.935799 \nL 167.395209 152.7144 \nL 168.801959 155.415584 \nL 169.97422 158.038298 \nL 170.924956 160.581847 \nL 171.666935 163.045632 \nL 172.212338 165.429046 \nL 172.572472 167.731318 \nL 172.757544 169.951419 \nL 172.776525 172.088015 \nL 172.637045 174.139376 \nL 172.345349 176.1033 \nL 171.90627 177.977066 \nL 171.323244 179.757333 \nL 170.59833 181.440042 \nL 169.732259 183.020348 \nL 168.724479 184.492478 \nL 167.573228 185.84959 \nL 166.275602 187.083654 \nL 164.827642 188.185266 \nL 163.224435 189.143449 \nL 161.460221 189.9455 \nL 159.528537 190.576733 \nL 157.422388 191.020284 \nL 155.134442 191.256895 \nL 152.657293 191.264709 \nL 149.983763 191.019094 \nL 147.107311 190.492551 \nL 144.022503 189.65469 \nL 140.7256 188.472372 \nL 137.215284 186.91004 \nL 133.49352 184.930343 \nL 129.566569 182.495132 \nL 125.446179 179.566927 \nL 121.150921 176.110973 \nL 116.707653 172.098 \nL 112.153089 167.507714 \nL 107.535318 162.33306 \nL 102.915219 156.585186 \nL 98.367526 150.298841 \nL 93.98131 143.537682 \nL 89.859582 136.398958 \nL 86.117699 129.016421 \nL 82.88029 121.560543 \nL 80.276417 114.234753 \nL 78.43302 107.266928 \nL 77.46676 100.895836 \nL 77.474932 95.353275 \nL 78.52626 90.843592 \nL 80.652809 87.523711 \nL 83.84429 85.486865 \nL 88.045905 84.753467 \nL 93.16029 85.270822 \nL 99.053693 86.9222 \nL 105.565506 89.543072 \nL 112.519917 92.941441 \nL 119.738023 96.918407 \nL 127.04889 101.285689 \nL 134.298402 105.878055 \nL 141.355282 110.560213 \nL 148.114218 115.228601 \nL 154.49644 119.809442 \nL 160.448314 124.254552 \nL 165.938661 128.536144 \nL 170.955331 132.641631 \nL 175.501576 136.569009 \nL 179.592534 140.323099 \nL 183.252048 143.912636 \nL 186.509914 147.348219 \nL 189.399614 150.640922 \nL 191.956497 153.80143 \nL 194.21638 156.839556 \nL 196.214507 159.763993 \nL 197.98481 162.582275 \nL 200.968375 167.92496 \nL 203.398252 172.907119 \nL 207.346825 181.885469 \nL 210.086082 187.799977 \nL 212.023079 191.352556 \nL 214.161407 194.578416 \nL 215.334174 196.061541 \nL 216.590746 197.452515 \nL 217.942258 198.74583 \nL 219.400051 199.934728 \nL 220.975763 201.011028 \nL 222.681417 201.964874 \nL 224.529463 202.784501 \nL 226.532809 203.455924 \nL 228.704817 203.962627 \nL 231.059246 204.285184 \nL 233.610161 204.400882 \nL 236.371752 204.283317 \nL 239.358093 203.901984 \nL 242.582788 203.221912 \nL 246.058467 202.203356 \nL 249.796169 200.801631 \nL 253.804482 198.967177 \nL 258.088487 196.645943 \nL 262.648419 193.780274 \nL 267.478038 190.310482 \nL 272.562672 186.177319 \nL 277.876966 181.325564 \nL 283.382313 175.709072 \nL 289.02415 169.297297 \nL 294.729201 162.083459 \nL 300.403049 154.094076 \nL 305.928362 145.399228 \nL 311.164406 136.122401 \nL 315.948394 126.448117 \nL 320.099456 116.624975 \nL 323.425798 106.961488 \nL 325.735342 97.812274 \nL 326.849612 89.553604 \nL 326.619943 82.549233 \nL 324.944118 77.110695 \nL 321.780965 73.458675 \nL 317.160074 71.693667 \nL 311.184265 71.783269 \nL 304.02366 73.56977 \nL 295.901801 76.796538 \nL 287.076031 81.146933 \nL 277.81544 86.286539 \nL 268.379995 91.900189 \nL 259.0036 97.717945 \nL 241.171305 109.180348 \nL 225.377716 119.666698 \nL 212.058809 128.866921 \nL 206.334883 132.996752 \nL 201.199699 136.841927 \nL 196.612237 140.428406 \nL 192.524751 143.781743 \nL 188.886002 146.925373 \nL 182.746126 152.662021 \nL 177.789138 157.76288 \nL 166.64639 169.829868 \nL 163.308556 172.801273 \nL 161.599381 174.074597 \nL 159.838259 175.196992 \nL 158.008684 176.159627 \nL 156.095814 176.952186 \nL 154.086386 177.5628 \nL 151.968652 177.978008 \nL 149.732398 178.182739 \nL 147.369006 178.16033 \nL 144.871601 177.892575 \nL 142.235268 177.359884 \nL 139.457348 176.541534 \nL 136.537814 175.416057 \nL 133.47974 173.961798 \nL 130.28986 172.1577 \nL 126.979184 169.984344 \nL 123.563703 167.425261 \nL 120.065116 164.468594 \nL 116.511548 161.109041 \nL 112.938226 157.350112 \nL 109.388021 153.20658 \nL 105.911744 148.706984 \nL 102.568106 143.895972 \nL 99.423245 138.836164 \nL 96.549589 133.609199 \nL 94.024088 128.315477 \nL 91.925639 123.072277 \nL 90.33174 118.009934 \nL 89.314515 113.265944 \nL 88.936259 108.977338 \nL 89.244916 105.271749 \nL 90.269909 102.258215 \nL 92.018803 100.018872 \nL 94.475306 98.602667 \nL 97.598939 98.022134 \nL 101.326562 98.253813 \nL 105.575657 99.24206 \nL 110.248996 100.905837 \nL 115.240275 103.147081 \nL 120.439986 105.859662 \nL 125.740995 108.937469 \nL 131.043313 112.281018 \nL 136.257744 115.801992 \nL 141.308247 119.425728 \nL 146.133126 123.091937 \nL 150.685122 126.754079 \nL 154.930686 130.377832 \nL 158.848689 133.939163 \nL 162.428764 137.422245 \nL 165.669496 140.817557 \nL 168.576643 144.120149 \nL 171.161433 147.328276 \nL 173.43904 150.442296 \nL 175.427267 153.46387 \nL 177.145438 156.395372 \nL 178.613489 159.239471 \nL 179.851259 161.998891 \nL 180.877942 164.676253 \nL 181.711681 167.273954 \nL 182.369286 169.794144 \nL 182.866048 172.238706 \nL 183.21563 174.609241 \nL 183.430018 176.907085 \nL 183.51952 179.133292 \nL 183.35688 183.373645 \nL 182.778097 187.33316 \nL 181.81004 191.009555 \nL 181.18254 192.739206 \nL 180.458233 194.394287 \nL 179.634783 195.972443 \nL 178.70873 197.470635 \nL 177.675523 198.885042 \nL 176.529543 200.210921 \nL 175.264127 201.442459 \nL 173.871585 202.57259 \nL 172.34322 203.592785 \nL 170.669341 204.492813 \nL 168.839305 205.260463 \nL 166.841554 205.881219 \nL 164.663686 206.337927 \nL 162.29256 206.610387 \nL 159.714431 206.674938 \nL 156.915183 206.504014 \nL 153.880591 206.065686 \nL 150.596733 205.323263 \nL 147.05051 204.234911 \nL 143.23034 202.753469 \nL 139.127055 200.826446 \nL 134.735041 198.396416 \nL 130.053671 195.401904 \nL 125.089046 191.779024 \nL 119.856106 187.464105 \nL 114.381088 182.397574 \nL 108.704281 176.529349 \nL 102.88301 169.826007 \nL 96.994628 162.279695 \nL 91.139201 153.918648 \nL 85.441484 144.818465 \nL 80.051458 135.11302 \nL 75.14285 125.002772 \nL 70.908699 114.757914 \nL 67.553443 104.713309 \nL 65.281061 95.252473 \nL 64.279708 86.779593 \nL 64.703816 79.680977 \nL 66.655967 74.280698 \nL 70.171354 70.798481 \nL 75.207914 69.31927 \nL 81.644817 69.782284 \nL 89.290356 71.993232 \nL 97.898396 75.656864 \nL 107.190671 80.421876 \nL 116.880962 85.927513 \nL 126.697349 91.842526 \nL 145.789301 103.862462 \nL 163.073637 115.055989 \nL 177.865526 124.879705 \nL 190.037845 133.315388 \nL 199.808611 140.556567 \nL 207.562827 146.829306 \nL 213.734678 152.318724 \nL 218.741637 157.152103 \nL 228.451055 166.756942 \nL 231.925301 169.63269 \nL 233.679018 170.850835 \nL 235.470598 171.913777 \nL 237.317354 172.813201 \nL 239.234577 173.539406 \nL 241.235639 174.081276 \nL 243.332064 174.426311 \nL 245.53353 174.560655 \nL 247.84781 174.469177 \nL 250.280653 174.135625 \nL 252.835601 173.542814 \nL 255.51371 172.672974 \nL 258.313225 171.508185 \nL 261.229175 170.03102 \nL 264.252887 168.22533 \nL 267.371483 166.077294 \nL 270.567316 163.576654 \nL 273.817402 160.718254 \nL 277.092909 157.50374 \nL 280.358715 153.943429 \nL 283.573161 150.058291 \nL 286.68799 145.881809 \nL 289.648684 141.461557 \nL 292.395195 136.860243 \nL 294.863187 132.155907 \nL 296.985871 127.441005 \nL 298.696415 122.82009 \nL 299.930929 118.405995 \nL 300.631835 114.314594 \nL 300.751447 110.658361 \nL 300.255496 107.539332 \nL 299.126176 105.042194 \nL 297.364378 103.228292 \nL 294.990827 102.131552 \nL 292.045861 101.756718 \nL 288.587784 102.080294 \nL 284.689994 103.05395 \nL 280.437042 104.609954 \nL 275.92015 106.667608 \nL 271.232574 109.139983 \nL 266.465242 111.940008 \nL 261.703053 114.985516 \nL 257.022036 118.202643 \nL 252.487472 121.52791 \nL 248.152929 124.908913 \nL 244.060126 128.304011 \nL 240.239456 131.681324 \nL 236.710963 135.017372 \nL 233.485606 138.295552 \nL 230.566708 141.504689 \nL 227.951372 144.637701 \nL 225.631887 147.690496 \nL 223.596986 150.661044 \nL 221.832966 153.548712 \nL 220.324642 156.353704 \nL 219.056143 159.076698 \nL 218.011553 161.718567 \nL 217.175411 164.280209 \nL 216.533106 166.762397 \nL 216.07114 169.165728 \nL 215.77734 171.490528 \nL 215.64097 173.73685 \nL 215.652813 175.904384 \nL 215.805198 177.992471 \nL 216.091998 180.000023 \nL 216.508609 181.925492 \nL 217.051909 183.766804 \nL 217.720214 185.521296 \nL 218.51322 187.185612 \nL 219.431951 188.755625 \nL 220.478701 190.226304 \nL 221.656971 191.591581 \nL 222.971413 192.844196 \nL 224.427765 193.975513 \nL 226.032781 194.975316 \nL 227.794148 195.831588 \nL 229.720387 196.530245 \nL 231.820735 197.054875 \nL 234.104986 197.386444 \nL 236.583293 197.502998 \nL 239.265907 197.379371 \nL 242.162854 196.986919 \nL 245.283507 196.293322 \nL 248.636048 195.262478 \nL 252.226782 193.854575 \nL 256.059306 192.02639 \nL 260.133471 189.731966 \nL 264.444138 186.923732 \nL 268.979694 183.554263 \nL 273.720381 179.578821 \nL 278.636354 174.958857 \nL 283.685697 169.666539 \nL 288.812309 163.690455 \nL 293.944027 157.042275 \nL 298.99111 149.764103 \nL 303.845527 141.935858 \nL 308.381403 133.681633 \nL 312.457136 125.173628 \nL 315.919633 116.631962 \nL 318.610955 108.318644 \nL 320.377418 100.524462 \nL 321.080782 93.548673 \nL 320.610632 87.672775 \nL 318.896458 83.131786 \nL 315.91767 80.087716 \nL 311.709663 78.610543 \nL 306.364492 78.671117 \nL 300.025546 80.147828 \nL 292.876742 82.845732 \nL 285.127867 86.523818 \nL 276.998224 90.924666 \nL 268.701085 95.800945 \nL 260.430806 100.9349 \nL 252.353814 106.149397 \nL 244.603698 111.311198 \nL 237.280032 116.328286 \nL 230.45007 121.143708 \nL 224.152325 125.72794 \nL 218.401144 130.071322 \nL 213.191557 134.177477 \nL 208.503915 138.058025 \nL 204.308027 141.728669 \nL 200.566672 145.206528 \nL 197.238435 148.508367 \nL 194.279942 151.649609 \nL 191.64753 154.643816 \nL 187.191798 160.235254 \nL 183.553554 165.35162 \nL 174.977375 178.16158 \nL 172.236948 181.592565 \nL 170.801231 183.13891 \nL 169.300486 184.565322 \nL 167.719847 185.864832 \nL 166.045184 187.029031 \nL 164.262965 188.047916 \nL 162.360169 188.909724 \nL 160.324235 189.600743 \nL 158.143066 190.105095 \nL 155.805072 190.404558 \nL 153.29929 190.478354 \nL 150.615576 190.30301 \nL 147.74488 189.852241 \nL 144.679616 189.096935 \nL 141.414156 188.005282 \nL 137.945461 186.543059 \nL 134.273836 184.674217 \nL 130.403857 182.361781 \nL 126.345458 179.569214 \nL 122.115187 176.262322 \nL 117.737577 172.411831 \nL 113.246617 167.996614 \nL 108.687244 163.00775 \nL 104.116687 157.453193 \nL 99.605555 151.362879 \nL 95.238392 144.793966 \nL 91.113437 137.835406 \nL 87.341294 130.611172 \nL 84.042191 123.280938 \nL 81.341616 116.037215 \nL 79.364264 109.098076 \nL 78.226429 102.694975 \nL 78.027326 97.056322 \nL 78.840167 92.388088 \nL 80.704032 88.854322 \nL 83.617818 86.56045 \nL 87.537369 85.542866 \nL 92.376477 85.766667 \nL 98.011983 87.132385 \nL 104.292332 89.490222 \nL 111.048453 92.658882 \nL 118.1055 96.445579 \nL 125.293863 100.663729 \nL 132.458319 105.146285 \nL 139.464569 109.753688 \nL 146.20295 114.376829 \nL 152.589619 118.936006 \nL 158.565652 123.377459 \nL 164.094739 127.668531 \nL 169.160034 131.792659 \nL 173.760662 135.744776 \nL 177.908273 139.527423 \nL 181.623852 143.147743 \nL 184.934931 146.615284 \nL 187.873247 149.940466 \nL 190.472848 153.133615 \nL 192.768615 156.204384 \nL 194.795148 159.161445 \nL 196.585964 162.012412 \nL 199.585989 167.421203 \nL 201.999031 172.471754 \nL 204.936708 179.43529 \nL 208.362264 187.654767 \nL 210.126372 191.318638 \nL 212.051701 194.677994 \nL 214.223906 197.715992 \nL 215.42881 199.105978 \nL 216.727085 200.403566 \nL 218.129684 201.602543 \nL 219.647935 202.695343 \nL 221.293621 203.672819 \nL 223.079034 204.523995 \nL 225.017021 205.235776 \nL 227.120983 205.79261 \nL 229.404848 206.176131 \nL 231.882995 206.364763 \nL 234.570117 206.333277 \nL 237.481011 206.052358 \nL 240.630271 205.488168 \nL 244.031862 204.601956 \nL 247.698538 203.349769 \nL 251.641087 201.682345 \nL 255.867348 199.545265 \nL 260.380945 196.87957 \nL 265.179763 193.622952 \nL 270.254041 189.711792 \nL 275.584139 185.084304 \nL 281.137963 179.685053 \nL 286.868116 173.471056 \nL 292.708927 166.4197 \nL 298.573561 158.538304 \nL 304.351666 149.874985 \nL 309.907956 140.529834 \nL 315.082527 130.66481 \nL 319.693541 120.510009 \nL 323.543128 110.363419 \nL 326.426965 100.581336 \nL 328.147652 91.557244 \nL 328.531235 83.689095 \nL 327.445301 77.33792 \nL 324.816166 72.783916 \nL 320.642126 70.188852 \nL 314.999741 69.573743 \nL 308.041313 70.818022 \nL 299.983111 73.681019 \nL 291.086167 77.84065 \nL 281.632925 82.939685 \nL 271.903722 88.629476 \nL 262.156645 94.603094 \nL 243.449983 106.483625 \nL 226.741614 117.375978 \nL 212.577382 126.880527 \nL 200.994122 135.042573 \nL 196.094709 138.683478 \nL 191.727895 142.069294 \nL 184.378303 148.178566 \nL 178.513285 153.541502 \nL 173.725874 158.272357 \nL 166.013936 166.057702 \nL 162.544058 169.132915 \nL 160.811356 170.456889 \nL 159.051487 171.630892 \nL 157.245834 172.647466 \nL 155.377872 173.497756 \nL 153.433013 174.171478 \nL 151.398514 174.656928 \nL 149.263432 174.940994 \nL 147.018648 175.009189 \nL 144.656941 174.845766 \nL 142.173141 174.433846 \nL 139.564337 173.755662 \nL 136.830191 172.792915 \nL 133.973283 171.527306 \nL 130.999569 169.941161 \nL 127.918859 168.018355 \nL 124.745403 165.745412 \nL 121.498437 163.112851 \nL 118.202773 160.116803 \nL 114.889343 156.760837 \nL 111.595567 153.057928 \nL 108.365629 149.032453 \nL 105.250405 144.722115 \nL 102.307058 140.179422 \nL 99.598151 135.472586 \nL 97.190209 130.685473 \nL 95.151703 125.916256 \nL 93.55037 121.274661 \nL 92.450063 116.877581 \nL 91.907142 112.843277 \nL 91.966796 109.284456 \nL 92.659514 106.300978 \nL 93.998134 103.972872 \nL 95.975836 102.35465 \nL 98.565389 101.471744 \nL 101.719792 101.319564 \nL 105.374392 101.865296 \nL 109.450224 103.052152 \nL 113.858285 104.805446 \nL 118.50427 107.039479 \nL 123.293304 109.664376 \nL 128.134238 112.592058 \nL 132.943184 115.740955 \nL 137.646141 119.039001 \nL 142.180575 122.425279 \nL 146.496104 125.850287 \nL 150.554377 129.275356 \nL 154.328358 132.671395 \nL 157.801184 136.017402 \nL 160.964775 139.298904 \nL 163.818355 142.506457 \nL 166.366972 145.634366 \nL 168.620122 148.679609 \nL 170.590495 151.640977 \nL 172.292894 154.518455 \nL 173.743318 157.312692 \nL 174.958198 160.024708 \nL 175.953816 162.655634 \nL 176.74582 165.206555 \nL 177.348886 167.678399 \nL 177.776471 170.071882 \nL 178.040632 172.387452 \nL 178.151936 174.625262 \nL 178.119394 176.785115 \nL 177.950453 178.866454 \nL 177.651001 180.868304 \nL 177.225406 182.789251 \nL 176.676554 184.627352 \nL 176.005903 186.380098 \nL 175.213539 188.044294 \nL 174.298231 189.615985 \nL 173.257484 191.090342 \nL 172.087605 192.46151 \nL 170.783747 193.722461 \nL 169.339978 194.86482 \nL 167.749341 195.878641 \nL 166.003932 196.752196 \nL 164.094982 197.471709 \nL 162.01298 198.02109 \nL 159.747808 198.38161 \nL 157.288927 198.531624 \nL 154.625621 198.44623 \nL 151.747308 198.097 \nL 148.64395 197.451723 \nL 145.306559 196.474274 \nL 141.727869 195.124611 \nL 137.903137 193.359004 \nL 133.831174 191.130605 \nL 129.515566 188.390468 \nL 124.966131 185.089202 \nL 120.200647 181.179361 \nL 115.246758 176.618814 \nL 110.144092 171.375237 \nL 104.946412 165.431735 \nL 99.723691 158.793616 \nL 94.563821 151.49599 \nL 89.573599 143.611589 \nL 84.878628 135.257853 \nL 80.621559 126.601804 \nL 76.958216 117.860999 \nL 74.051217 109.298654 \nL 72.061014 101.211499 \nL 71.134571 93.909891 \nL 71.392552 87.691219 \nL 72.916488 82.80982 \nL 75.737687 79.448134 \nL 79.830007 77.694892 \nL 85.108075 77.53533 \nL 91.431788 78.855853 \nL 98.616803 81.462477 \nL 106.449438 85.108743 \nL 114.703669 89.527059 \nL 123.157689 94.457473 \nL 131.607874 99.669248 \nL 139.878747 104.973605 \nL 147.828598 110.227885 \nL 162.3738 120.228374 \nL 168.854476 124.881358 \nL 174.776426 129.281701 \nL 180.14339 133.433196 \nL 184.974662 137.348244 \nL 189.300732 141.043635 \nL 193.159584 144.537669 \nL 196.593689 147.848243 \nL 199.647656 150.991796 \nL 202.366464 153.982741 \nL 206.973068 159.553516 \nL 210.741341 164.633036 \nL 219.664977 177.240072 \nL 222.52721 180.566281 \nL 224.027274 182.051178 \nL 225.595067 183.409207 \nL 227.245636 184.632636 \nL 228.9932 185.712215 \nL 230.85126 186.637028 \nL 232.832675 187.394334 \nL 234.949693 187.969377 \nL 237.213926 188.345238 \nL 239.636253 188.502642 \nL 242.226685 188.41983 \nL 244.994113 188.072475 \nL 247.945988 187.433646 \nL 251.087886 186.473939 \nL 254.422956 185.161756 \nL 257.951233 183.463796 \nL 261.668805 181.345859 \nL 265.566853 178.77406 \nL 269.630526 175.716513 \nL 273.837695 172.14555 \nL 278.157622 168.040628 \nL 282.549643 163.391849 \nL 286.961897 158.204093 \nL 291.330307 152.501586 \nL 295.57801 146.332587 \nL 299.615431 139.773685 \nL 303.341312 132.932942 \nL 306.644942 125.951073 \nL 309.409798 118.999663 \nL 311.518694 112.275572 \nL 312.860395 105.991223 \nL 313.337255 100.360704 \nL 312.87336 95.583053 \nL 311.422159 91.824596 \nL 308.972618 89.202918 \nL 305.5528 87.775444 \nL 301.230119 87.534792 \nL 296.107981 88.411944 \nL 290.319063 90.286591 \nL 284.016108 93.002632 \nL 277.361452 96.385844 \nL 270.516656 100.260826 \nL 263.633412 104.464658 \nL 256.846547 108.856241 \nL 250.269517 113.3209 \nL 243.992292 117.771165 \nL 238.081327 122.144655 \nL 232.581074 126.400344 \nL 227.516501 130.51418 \nL 222.896141 134.474774 \nL 218.715264 138.279608 \nL 214.958936 141.931945 \nL 211.604775 145.438446 \nL 208.625321 148.807496 \nL 205.990011 152.048016 \nL 203.666754 155.168758 \nL 201.623155 158.177865 \nL 199.827426 161.082684 \nL 198.249033 163.889697 \nL 195.630834 169.232031 \nL 193.561896 174.241052 \nL 191.868616 178.943298 \nL 187.05901 193.216654 \nL 185.613961 196.703653 \nL 183.999551 199.927839 \nL 182.147672 202.878753 \nL 181.110951 204.24597 \nL 179.98822 205.536506 \nL 178.769828 206.745848 \nL 177.44559 207.868401 \nL 176.004701 208.897283 \nL 174.435663 209.824118 \nL 172.726232 210.638769 \nL 170.863362 211.329031 \nL 168.833194 211.880291 \nL 166.621056 212.275114 \nL 164.211502 212.492814 \nL 161.588416 212.508934 \nL 158.735152 212.294728 \nL 155.634799 211.816574 \nL 152.270518 211.035429 \nL 148.626057 209.906296 \nL 144.686418 208.377813 \nL 140.438773 206.392062 \nL 135.87364 203.884708 \nL 130.986406 200.785686 \nL 125.779223 197.020661 \nL 120.263345 192.51359 \nL 114.461918 187.190716 \nL 108.413208 180.986413 \nL 102.174191 173.851173 \nL 95.824296 165.761956 \nL 89.468969 156.734797 \nL 83.24259 146.838965 \nL 77.309894 136.21125 \nL 71.865129 125.067953 \nL 67.127783 113.711079 \nL 63.333947 102.524727 \nL 60.722754 91.957715 \nL 59.517984 82.490234 \nL 59.906146 74.585864 \nL 62.013612 68.634818 \nL 65.886672 64.899018 \nL 71.478594 63.472195 \nL 78.647425 64.266012 \nL 87.165923 67.027231 \nL 96.742628 71.382096 \nL 107.050202 76.895919 \nL 117.755755 83.133344 \nL 128.547944 89.706179 \nL 168.00273 114.361673 \nL 190.574295 128.542326 \nL 202.099188 136.02087 \nL 211.240607 142.271071 \nL 218.4819 147.553652 \nL 226.805554 154.044 \nL 233.27531 159.08604 \nL 237.080161 161.692792 \nL 238.920377 162.766387 \nL 240.750941 163.681507 \nL 242.591759 164.432527 \nL 244.45982 165.012674 \nL 246.369365 165.414164 \nL 248.332025 165.628357 \nL 250.35688 165.645911 \nL 252.450504 165.456978 \nL 254.616931 165.051472 \nL 256.857595 164.419366 \nL 259.171194 163.551076 \nL 261.553552 162.437938 \nL 263.997401 161.072794 \nL 266.492193 159.45065 \nL 269.023857 157.569469 \nL 271.574612 155.431032 \nL 274.122795 153.041872 \nL 276.642787 150.414235 \nL 279.105012 147.567028 \nL 281.476135 144.526615 \nL 283.719405 141.327428 \nL 285.795255 138.012256 \nL 287.662148 134.6321 \nL 289.277695 131.245454 \nL 290.600054 127.917001 \nL 291.589544 124.715614 \nL 292.210442 121.71179 \nL 292.432829 118.974556 \nL 292.234418 116.5681 \nL 291.602137 114.54843 \nL 290.533369 112.96035 \nL 289.036697 111.835095 \nL 287.13204 111.188851 \nL 284.85017 111.022439 \nL 282.231551 111.322005 \nL 279.324675 112.060814 \nL 276.18396 113.201687 \nL 272.867433 114.700011 \nL 269.434344 116.506806 \nL 265.942918 118.571602 \nL 262.448418 120.844914 \nL 259.001534 123.28021 \nL 255.647267 125.835199 \nL 252.424204 128.472615 \nL 249.364243 131.16045 \nL 246.492645 133.871849 \nL 243.828372 136.58473 \nL 241.384641 139.281213 \nL 239.1696 141.947007 \nL 237.18707 144.570782 \nL 235.43732 147.143574 \nL 233.917806 149.658223 \nL 232.623855 152.10895 \nL 231.549312 154.490942 \nL 230.687077 156.80003 \nL 230.029577 159.032445 \nL 229.569152 161.184583 \nL 229.298391 163.252829 \nL 229.210363 165.233426 \nL 229.298821 167.122314 \nL 229.558332 168.91504 \nL 229.984361 170.606637 \nL 230.573335 172.191515 \nL 231.322649 173.663354 \nL 232.230655 175.014978 \nL 233.296619 176.238269 \nL 234.520648 177.324031 \nL 235.903597 178.261869 \nL 237.446954 179.040059 \nL 239.152682 179.645467 \nL 241.023037 180.063406 \nL 243.060352 180.277599 \nL 245.26676 180.270107 \nL 247.643902 180.021336 \nL 250.19253 179.510164 \nL 252.912086 178.714086 \nL 255.800176 177.609571 \nL 258.851995 176.172574 \nL 262.059638 174.379249 \nL 265.411372 172.206971 \nL 268.890791 169.635653 \nL 272.475975 166.6494 \nL 276.138588 163.238572 \nL 279.843049 159.402175 \nL 283.545829 155.150536 \nL 287.194913 150.508153 \nL 290.729642 145.516438 \nL 294.081018 140.236108 \nL 297.17264 134.748753 \nL 299.922376 129.157119 \nL 302.244939 123.583655 \nL 304.05529 118.166875 \nL 305.272927 113.055398 \nL 305.826714 108.399769 \nL 305.659987 104.342585 \nL 304.735378 101.008027 \nL 303.038864 98.492016 \nL 300.582392 96.854494 \nL 297.404659 96.114999 \nL 293.569834 96.252434 \nL 289.164192 97.208913 \nL 284.291065 98.897129 \nL 279.064646 101.209821 \nL 273.603385 104.030021 \nL 268.023638 107.240503 \nL 262.434234 110.731403 \nL 256.932296 114.405549 \nL 251.600494 118.181304 \nL 246.505695 121.993365 \nL 241.698849 125.791965 \nL 237.21579 129.541072 \nL 233.078726 133.216083 \nL 229.298083 136.801467 \nL 225.874527 140.288488 \nL 222.800967 143.673319 \nL 220.064426 146.955463 \nL 217.647714 150.136557 \nL 215.530871 153.219476 \nL 213.692361 156.207715 \nL 212.110046 159.104982 \nL 210.761943 161.914923 \nL 209.626799 164.640991 \nL 208.684506 167.286354 \nL 207.916389 169.85387 \nL 207.305387 172.346102 \nL 206.836155 174.765309 \nL 206.270336 179.392381 \nL 206.130664 183.748188 \nL 206.354717 187.842329 \nL 206.90333 191.681034 \nL 207.757897 195.266798 \nL 208.918058 198.597597 \nL 210.399961 201.665566 \nL 211.270855 203.096448 \nL 212.235213 204.454956 \nL 213.299332 205.737413 \nL 214.470453 206.939229 \nL 215.756771 208.054726 \nL 217.167452 209.076951 \nL 218.712649 209.997461 \nL 220.403513 210.806046 \nL 222.252194 211.490429 \nL 224.271831 212.035913 \nL 226.47652 212.424983 \nL 228.881242 212.636851 \nL 231.501756 212.646955 \nL 234.354415 212.426421 \nL 237.455913 211.941486 \nL 240.822918 211.152938 \nL 244.471557 210.015585 \nL 248.41672 208.47785 \nL 252.671156 206.481562 \nL 257.244259 203.962113 \nL 262.14056 200.849142 \nL 267.357786 197.068014 \nL 272.884538 192.542392 \nL 278.697461 187.198277 \nL 284.758003 180.969878 \nL 291.008807 173.807674 \nL 297.369947 165.688837 \nL 303.735342 156.629927 \nL 309.969854 146.701136 \nL 315.907846 136.040625 \nL 321.35408 124.866561 \nL 326.088062 113.483236 \nL 329.872753 102.277293 \nL 332.468271 91.700005 \nL 333.650443 82.233569 \nL 333.232894 74.342643 \nL 331.089941 68.417165 \nL 327.176629 64.71733 \nL 321.541534 63.333783 \nL 314.328815 64.174235 \nL 305.767943 66.981316 \nL 296.152394 71.37766 \nL 285.811051 76.926027 \nL 275.077748 83.18974 \nL 264.264148 89.780488 \nL 224.777661 114.443843 \nL 202.215186 128.597463 \nL 190.700762 136.053923 \nL 181.56936 142.281355 \nL 174.336062 147.541022 \nL 166.019633 153.996544 \nL 159.552087 159.002509 \nL 155.746887 161.58412 \nL 153.906233 162.644776 \nL 152.075197 163.546692 \nL 150.233991 164.28426 \nL 148.365744 164.850732 \nL 146.456343 165.238358 \nL 144.494307 165.438559 \nL 142.470704 165.442079 \nL 140.379122 165.23918 \nL 138.215697 164.819922 \nL 135.979184 164.174466 \nL 133.671074 163.293443 \nL 131.295748 162.16848 \nL 128.860671 160.792726 \nL 126.376601 159.161574 \nL 123.857804 157.273406 \nL 121.322229 155.130456 \nL 118.791691 152.739764 \nL 116.291915 150.114096 \nL 113.852517 147.272848 \nL 111.506801 144.242839 \nL 109.291402 141.058894 \nL 107.245661 137.76406 \nL 105.410771 134.40943 \nL 103.828642 131.053405 \nL 102.540516 127.760308 \nL 101.58535 124.59843 \nL 100.998038 121.637395 \nL 100.807594 118.945134 \nL 101.035367 116.584557 \nL 101.693519 114.610272 \nL 102.78382 113.065691 \nL 104.296958 111.980717 \nL 106.212465 111.370403 \nL 108.499227 111.23468 \nL 111.11666 111.559112 \nL 114.016391 112.316675 \nL 117.144331 113.470272 \nL 120.442977 114.975635 \nL 123.853741 116.784279 \nL 127.31916 118.846429 \nL 130.784776 121.113336 \nL 134.200703 123.539205 \nL 137.522705 126.082454 \nL 140.712885 128.706435 \nL 143.739953 131.379669 \nL 146.579144 134.075724 \nL 149.211889 136.772841 \nL 151.625261 139.453371 \nL 153.811307 142.103186 \nL 155.766316 144.711034 \nL 157.490058 147.267993 \nL 158.985061 149.766912 \nL 160.255918 152.201978 \nL 161.308688 154.568325 \nL 162.150345 156.861717 \nL 162.788309 159.078299 \nL 163.230085 161.214373 \nL 163.48293 163.266239 \nL 163.553617 165.230018 \nL 163.448245 167.10154 \nL 163.172112 168.876232 \nL 162.729621 170.549 \nL 162.124238 172.114115 \nL 161.358478 173.565112 \nL 160.433911 174.89466 \nL 159.35123 176.094489 \nL 158.110298 177.155222 \nL 156.710263 178.066292 \nL 155.149676 178.815805 \nL 153.426648 179.390446 \nL 151.53904 179.775375 \nL 149.484681 179.95416 \nL 147.261651 179.908742 \nL 144.868595 179.61947 \nL 142.305111 179.065191 \nL 139.572186 178.22349 \nL 136.672732 177.07104 \nL 133.612166 175.584139 \nL 130.399102 173.739479 \nL 127.04609 171.515207 \nL 123.570452 168.892288 \nL 119.995106 165.856208 \nL 116.349462 162.399046 \nL 112.670194 158.521889 \nL 109.001935 154.237505 \nL 105.397714 149.573116 \nL 101.919025 144.573051 \nL 98.635437 139.300951 \nL 95.623534 133.8411 \nL 92.96512 128.298428 \nL 90.744533 122.796705 \nL 89.045127 117.474571 \nL 87.944995 112.479319 \nL 87.512107 107.958521 \nL 87.799368 104.050264 \nL 88.839929 100.872836 \nL 90.643463 98.515427 \nL 93.193876 97.03101 \nL 96.448816 96.432667 \nL 100.341317 96.693939 \nL 104.78336 97.753241 \nL 109.671036 99.521383 \nL 114.89072 101.89107 \nL 120.325555 104.746841 \nL 125.861552 107.974071 \nL 131.392792 111.466187 \nL 136.825295 115.129459 \nL 142.079551 118.885587 \nL 147.091637 122.672174 \nL 151.813236 126.441866 \nL 156.210724 130.160488 \nL 160.263664 133.804793 \nL 163.962971 137.360146 \nL 167.308914 140.818379 \nL 170.309171 144.175946 \nL 172.977015 147.432444 \nL 175.329684 150.589475 \nL 177.387005 153.649797 \nL 179.17023 156.616757 \nL 180.701115 159.493875 \nL 182.001188 162.284619 \nL 183.091204 164.99226 \nL 183.990745 167.619794 \nL 184.717951 170.169919 \nL 185.289346 172.645051 \nL 185.719753 175.047294 \nL 186.20821 179.640295 \nL 186.267618 183.960865 \nL 185.956614 188.017304 \nL 185.310671 191.814239 \nL 184.344679 195.352128 \nL 183.055135 198.626262 \nL 182.283315 200.161145 \nL 181.421746 201.625119 \nL 180.465427 203.015284 \nL 179.40839 204.327968 \nL 178.243706 205.558581 \nL 176.963476 206.701458 \nL 175.558824 207.749676 \nL 174.019886 208.694817 \nL 172.335803 209.526727 \nL 170.494729 210.233211 \nL 168.483844 210.799688 \nL 166.289395 211.208803 \nL 163.896773 211.439985 \nL 161.290621 211.46897 \nL 158.455021 211.267271 \nL 155.373763 210.801631 \nL 152.030696 210.033503 \nL 148.410256 208.918528 \nL 144.498142 207.406187 \nL 140.282226 205.439616 \nL 135.753727 202.955793 \nL 130.908711 199.886262 \nL 125.749966 196.158606 \nL 120.289284 191.698999 \nL 114.550182 186.436159 \nL 108.571063 180.307098 \nL 102.408668 173.264895 \nL 96.141681 165.288785 \nL 89.874176 156.396331 \nL 83.73832 146.657028 \nL 77.895714 136.206001 \nL 72.536428 125.255318 \nL 67.874769 114.099767 \nL 64.14086 103.11312 \nL 61.567484 92.731204 \nL 60.372286 83.419911 \nL 60.736678 75.62912 \nL 62.783881 69.738459 \nL 66.559653 66.004732 \nL 72.019895 64.523362 \nL 79.028268 65.214648 \nL 87.365589 67.83939 \nL 96.749795 72.040448 \nL 106.863045 77.399454 \nL 117.380893 83.49446 \nL 127.998585 89.946523 \nL 148.523211 102.775159 \nL 182.580421 124.283177 \nL 195.360763 132.558793 \nL 205.570945 139.483804 \nL 213.655004 145.338663 \nL 220.091158 150.339729 \nL 233.677679 161.351808 \nL 237.372363 163.815148 \nL 239.196509 164.813928 \nL 241.033423 165.650192 \nL 242.900686 166.316927 \nL 244.813229 166.805999 \nL 246.783452 167.108279 \nL 248.821307 167.213783 \nL 250.934334 167.111841 \nL 253.127625 166.791288 \nL 255.403754 166.240777 \nL 257.762638 165.449109 \nL 260.201362 164.405699 \nL 262.713962 163.101111 \nL 265.291166 161.527759 \nL 267.920126 159.680667 \nL 270.58414 157.558414 \nL 273.262428 155.164125 \nL 275.929935 152.506578 \nL 278.557251 149.601279 \nL 281.110677 146.471504 \nL 283.552442 143.149182 \nL 285.841221 139.675468 \nL 287.932867 136.100891 \nL 289.781491 132.484972 \nL 291.340838 128.895127 \nL 292.56597 125.404835 \nL 293.415197 122.091017 \nL 293.852171 119.030798 \nL 293.847964 116.297751 \nL 293.383042 113.958016 \nL 292.448884 112.066551 \nL 291.049119 110.664064 \nL 289.200015 109.774838 \nL 286.930244 109.405776 \nL 284.279865 109.54679 \nL 281.298671 110.172449 \nL 278.043967 111.244545 \nL 274.57797 112.715467 \nL 270.965135 114.531733 \nL 267.269515 116.637442 \nL 263.552445 118.977331 \nL 259.870594 121.49913 \nL 256.274544 124.155264 \nL 252.807874 126.903861 \nL 249.506717 129.709102 \nL 246.399763 132.541153 \nL 243.508591 135.375722 \nL 240.848256 138.193413 \nL 238.428029 140.979002 \nL 236.252254 143.720697 \nL 234.321194 146.409414 \nL 232.63189 149.038181 \nL 231.178939 151.601579 \nL 229.955215 154.095309 \nL 228.952492 156.515809 \nL 228.161976 158.859996 \nL 227.57475 161.124993 \nL 227.18214 163.307966 \nL 226.975994 165.405978 \nL 226.948904 167.415834 \nL 227.094361 169.333989 \nL 227.40686 171.156437 \nL 227.881971 172.878596 \nL 228.516363 174.495234 \nL 229.307804 176.000331 \nL 230.255137 177.386969 \nL 231.358217 178.647235 \nL 232.617848 179.772061 \nL 234.03568 180.751103 \nL 235.614092 181.572605 \nL 237.356038 182.223267 \nL 239.264876 182.688089 \nL 241.34415 182.950277 \nL 243.597331 182.991157 \nL 246.027499 182.790116 \nL 248.636991 182.324661 \nL 251.426937 181.570524 \nL 254.396751 180.501939 \nL 257.543511 179.092087 \nL 260.86126 177.313781 \nL 264.340177 175.140416 \nL 267.965718 172.547296 \nL 271.717607 169.513348 \nL 275.568837 166.023296 \nL 279.484645 162.070238 \nL 283.421591 157.658695 \nL 287.326807 152.807865 \nL 291.13758 147.555022 \nL 294.781406 141.958593 \nL 298.176709 136.100531 \nL 301.234387 130.087387 \nL 303.860372 124.049461 \nL 305.959224 118.137496 \nL 307.438784 112.51655 \nL 308.215634 107.35701 \nL 308.22106 102.823351 \nL 307.406857 99.061657 \nL 305.750419 96.187493 \nL 303.258291 94.275939 \nL 299.96765 93.355459 \nL 295.945271 93.406716 \nL 291.284015 94.366586 \nL 286.097178 96.136612 \nL 280.511298 98.594275 \nL 274.658442 101.605428 \nL 268.668679 105.035703 \nL 262.663652 108.759823 \nL 256.751622 112.667926 \nL 251.024257 116.668834 \nL 245.555105 120.690832 \nL 240.399518 124.680497 \nL 235.595689 128.600331 \nL 231.166437 132.425888 \nL 227.121405 136.142841 \nL 223.459434 139.744297 \nL 220.170871 143.228552 \nL 217.239707 146.597285 \nL 214.645457 149.854211 \nL 212.364771 153.00411 \nL 210.372739 156.052169 \nL 208.643941 159.003571 \nL 207.153259 161.863229 \nL 205.876466 164.635699 \nL 204.790657 167.325101 \nL 203.874521 169.935141 \nL 202.474914 174.930034 \nL 201.543302 179.643052 \nL 200.973897 184.092743 \nL 200.686818 188.294743 \nL 200.624498 192.262572 \nL 200.74801 196.008108 \nL 201.033785 199.541776 \nL 201.47094 202.872557 \nL 202.0593 206.007861 \nL 202.808085 208.953186 \nL 203.735236 211.711622 \nL 204.867301 214.283044 \nL 206.239843 216.662985 \nL 207.898317 218.840927 \nL 209.899388 220.797826 \nL 211.049578 221.684247 \nL 212.312617 222.502512 \nL 213.699543 223.24598 \nL 215.222459 223.906481 \nL 216.894597 224.474024 \nL 218.73038 224.93643 \nL 220.745463 225.278934 \nL 222.956769 225.483672 \nL 225.382487 225.529124 \nL 228.042017 225.389458 \nL 230.955886 225.033786 \nL 234.145542 224.425339 \nL 237.633057 223.520589 \nL 241.440685 222.268333 \nL 245.590182 220.608825 \nL 250.101904 218.473021 \nL 254.993536 215.782147 \nL 260.278422 212.447764 \nL 265.963356 208.372684 \nL 272.045781 203.453154 \nL 278.510259 197.582877 \nL 285.324231 190.659498 \nL 292.433034 182.594282 \nL 299.754333 173.325572 \nL 307.172364 162.836363 \nL 314.532598 151.175514 \nL 321.637787 138.481102 \nL 328.246873 125.00248 \nL 334.078416 111.115827 \nL 338.820433 97.325848 \nL 342.148085 84.246062 \nL 343.749707 72.551672 \nL 343.359627 62.905277 \nL 340.793875 55.864239 \nL 335.982357 51.788679 \nL 328.990008 50.77488 \nL 320.020277 52.635878 \nL 309.398027 56.93815 \nL 297.534339 63.084671 \nL 284.880515 70.419486 \nL 234.438825 101.028749 \nL 223.300916 107.443461 \nL 213.054407 113.142843 \nL 203.736958 118.146453 \nL 187.833926 126.290841 \nL 175.235328 132.412615 \nL 161.301517 138.884347 \nL 151.637633 143.126704 \nL 146.783482 145.05976 \nL 142.78374 146.409825 \nL 139.376533 147.241927 \nL 136.37195 147.596638 \nL 133.640319 147.5023 \nL 131.101765 146.984003 \nL 128.717319 146.070553 \nL 126.481346 144.800029 \nL 124.414855 143.224039 \nL 122.559055 141.410514 \nL 120.968793 139.444491 \nL 119.705381 137.426475 \nL 118.828952 135.467893 \nL 118.390402 133.683902 \nL 118.346818 132.892114 \nL 118.42379 132.184088 \nL 118.621912 131.571025 \nL 118.940042 131.062567 \nL 119.375259 130.666592 \nL 119.922859 130.389041 \nL 120.576392 130.233804 \nL 121.327783 130.202695 \nL 122.167453 130.295474 \nL 124.067141 130.842123 \nL 126.1773 131.835722 \nL 128.391001 133.21616 \nL 130.600792 134.90894 \nL 132.705948 136.832533 \nL 134.617829 138.90435 \nL 136.263165 141.044843 \nL 137.585216 143.179752 \nL 138.543365 145.240865 \nL 139.111613 147.16576 \nL 139.276609 148.896987 \nL 139.035683 150.381165 \nL 138.764686 151.014847 \nL 138.395268 151.568227 \nL 137.929494 152.035506 \nL 137.369921 152.411093 \nL 136.719592 152.689636 \nL 135.982083 152.86605 \nL 135.161519 152.935589 \nL 134.262621 152.893913 \nL 132.252002 152.462239 \nL 130.001991 151.548703 \nL 127.577491 150.145608 \nL 125.058237 148.265369 \nL 122.539531 145.946442 \nL 120.131542 143.258702 \nL 117.956304 140.306838 \nL 116.141783 137.22999 \nL 114.812896 134.19605 \nL 114.365916 132.752666 \nL 114.079774 131.389654 \nL 113.963791 130.129816 \nL 114.024738 128.994577 \nL 114.266543 128.003367 \nL 114.690034 127.172968 \nL 115.292769 126.517023 \nL 116.069019 126.04565 \nL 117.009812 125.76518 \nL 118.103126 125.678095 \nL 119.334178 125.783103 \nL 120.685824 126.07539 \nL 122.139011 126.546959 \nL 123.673287 127.187114 \nL 126.899534 128.92002 \nL 130.193173 131.154567 \nL 133.392477 133.761114 \nL 136.356649 136.61262 \nL 138.97227 139.592621 \nL 141.155075 142.59868 \nL 142.848157 145.542349 \nL 144.017923 148.347162 \nL 144.401208 149.676137 \nL 144.649089 150.945599 \nL 144.761712 152.148005 \nL 144.73981 153.275974 \nL 144.584576 154.322244 \nL 144.297612 155.279605 \nL 143.880851 156.14083 \nL 143.336541 156.898649 \nL 142.667224 157.545732 \nL 141.875753 158.074664 \nL 140.965331 158.477987 \nL 139.939569 158.748199 \nL 138.80256 158.877858 \nL 137.558988 158.859645 \nL 136.214236 158.686494 \nL 134.774532 158.351769 \nL 133.247089 157.849451 \nL 131.640265 157.174384 \nL 129.963725 156.322587 \nL 128.228611 155.291576 \nL 126.447692 154.080752 \nL 124.635476 152.691803 \nL 122.808355 151.129154 \nL 120.98462 149.400393 \nL 119.184495 147.51672 \nL 117.430047 145.493275 \nL 115.745015 143.349452 \nL 114.154555 141.109039 \nL 112.684856 138.8002 \nL 111.362611 136.455242 \nL 110.214413 134.110147 \nL 109.265996 131.803808 \nL 108.541411 129.577045 \nL 108.062124 127.471335 \nL 107.846136 125.527405 \nL 107.907084 123.783668 \nL 108.253504 122.2747 \nL 108.888197 121.029813 \nL 109.807845 120.071861 \nL 111.002868 119.416378 \nL 112.457546 119.071095 \nL 114.150446 119.03597 \nL 116.055102 119.303578 \nL 118.140905 119.859894 \nL 120.374154 120.685395 \nL 122.719208 121.756317 \nL 125.13966 123.046006 \nL 127.599412 124.526185 \nL 130.063684 126.168143 \nL 132.499841 127.943718 \nL 134.878051 129.826063 \nL 137.17173 131.790159 \nL 139.357804 133.813185 \nL 141.416812 135.874615 \nL 143.33284 137.956237 \nL 145.093345 140.042038 \nL 146.688884 142.118009 \nL 148.112784 144.171887 \nL 149.360785 146.192935 \nL 150.430656 148.171647 \nL 151.321827 150.09953 \nL 152.035033 151.968835 \nL 152.571992 153.772384 \nL 152.93511 155.503346 \nL 153.127244 157.1551 \nL 153.151475 158.721054 \nL 153.010949 160.194537 \nL 152.708748 161.568664 \nL 152.247798 162.836252 \nL 151.630811 163.989695 \nL 150.860268 165.020928 \nL 149.938433 165.921312 \nL 148.867401 166.681605 \nL 147.649175 167.291928 \nL 146.285769 167.741739 \nL 144.779369 168.019854 \nL 143.132481 168.114483 \nL 141.34816 168.013338 \nL 139.430241 167.703762 \nL 137.383621 167.17298 \nL 135.214565 166.408362 \nL 132.931047 165.397843 \nL 130.543124 164.130418 \nL 128.063322 162.596781 \nL 125.507013 160.790071 \nL 122.892829 158.706788 \nL 120.242998 156.347753 \nL 117.583656 153.719251 \nL 114.945033 150.83411 \nL 112.361521 147.712863 \nL 109.871539 144.384675 \nL 107.517186 140.888098 \nL 105.343599 137.271392 \nL 103.397999 133.59233 \nL 101.72839 129.917344 \nL 100.381957 126.319861 \nL 99.403157 122.877873 \nL 98.831626 119.670756 \nL 98.700014 116.775545 \nL 99.031878 114.26284 \nL 99.839895 112.192872 \nL 101.124499 110.612053 \nL 102.873164 109.550369 \nL 105.060424 109.019999 \nL 107.648676 109.015306 \nL 110.589702 109.514182 \nL 113.826845 110.480543 \nL 117.297582 111.867566 \nL 120.936326 113.621408 \nL 124.677158 115.684851 \nL 128.456378 118.000609 \nL 132.214589 120.513999 \nL 135.89835 123.174861 \nL 139.46124 125.938785 \nL 142.864429 128.767634 \nL 146.076793 131.629527 \nL 149.074639 134.498467 \nL 151.841161 137.353698 \nL 154.365684 140.178968 \nL 156.642821 142.961714 \nL 158.671576 145.692354 \nL 160.454459 148.363594 \nL 161.99667 150.969858 \nL 163.30533 153.506796 \nL 164.388821 155.970916 \nL 165.256222 158.359236 \nL 165.916823 160.66906 \nL 166.379738 162.897785 \nL 166.653601 165.042721 \nL 166.746324 167.100966 \nL 166.664923 169.069309 \nL 166.415401 170.944094 \nL 166.002667 172.721141 \nL 165.430499 174.395639 \nL 164.701537 175.962046 \nL 163.817305 177.413968 \nL 162.778254 178.744047 \nL 161.583824 179.943842 \nL 160.23254 181.003667 \nL 158.722111 181.912476 \nL 157.049565 182.657699 \nL 155.211418 183.225113 \nL 153.203862 183.598705 \nL 151.022997 183.760544 \nL 148.665125 183.690739 \nL 146.127077 183.367369 \nL 143.406624 182.766585 \nL 140.502966 181.862768 \nL 137.417298 180.628859 \nL 134.153482 179.036917 \nL 130.718814 177.058897 \nL 127.124903 174.66782 \nL 123.388628 171.839254 \nL 119.533182 168.553299 \nL 115.58913 164.797008 \nL 111.595445 160.567298 \nL 107.60042 155.874223 \nL 103.662357 150.744499 \nL 99.849795 145.224956 \nL 96.241251 139.38557 \nL 92.924123 133.321442 \nL 89.992662 127.153205 \nL 87.544879 121.025103 \nL 85.678298 115.100294 \nL 84.484735 109.553127 \nL 84.044291 104.558542 \nL 84.419123 100.279562 \nL 85.647611 96.854065 \nL 87.739676 94.382873 \nL 90.673982 92.92101 \nL 94.397596 92.473529 \nL 98.828278 92.997032 \nL 103.859306 94.406216 \nL 109.366267 96.584556 \nL 115.21493 99.397032 \nL 121.269354 102.70287 \nL 127.399221 106.36657 \nL 133.485854 110.26611 \nL 139.42641 114.297879 \nL 145.13632 118.378628 \nL 150.550014 122.445025 \nL 155.620338 126.451636 \nL 160.316999 130.368036 \nL 164.624411 134.175688 \nL 168.539281 137.864974 \nL 172.068149 141.43258 \nL 175.225069 144.879424 \nL 178.029533 148.209024 \nL 180.504674 151.42633 \nL 182.67578 154.536908 \nL 184.569097 157.546417 \nL 186.210889 160.460305 \nL 187.626742 163.283622 \nL 188.841054 166.020958 \nL 189.876696 168.676434 \nL 191.494631 173.756125 \nL 192.627272 178.547716 \nL 193.39209 183.071597 \nL 193.879833 187.344891 \nL 194.158295 191.382496 \nL 194.286193 197.025773 \nL 194.153511 202.208494 \nL 193.809085 206.965898 \nL 193.262033 211.328645 \nL 192.490566 215.322288 \nL 191.828361 217.789387 \nL 191.023546 220.104576 \nL 190.04842 222.268967 \nL 188.86819 224.280411 \nL 187.439725 226.132166 \nL 185.709959 227.810973 \nL 183.613943 229.294183 \nL 182.404488 229.951793 \nL 181.072556 230.545535 \nL 179.605618 231.067741 \nL 177.989932 231.508969 \nL 176.210456 231.857648 \nL 174.250775 232.099638 \nL 172.093047 232.217729 \nL 169.717958 232.191024 \nL 167.104728 231.994237 \nL 164.231163 231.596879 \nL 161.073789 230.962327 \nL 157.608085 230.046805 \nL 153.808865 228.798274 \nL 149.650868 227.155305 \nL 145.109594 225.046014 \nL 140.162492 222.387195 \nL 134.790609 219.0839 \nL 128.980763 215.029761 \nL 122.7284 210.108548 \nL 116.041307 204.197559 \nL 108.944145 197.173617 \nL 101.483991 188.922611 \nL 93.736713 179.353437 \nL 85.813904 168.41708 \nL 77.869821 156.130854 \nL 70.107219 142.606584 \nL 62.780639 128.079517 \nL 56.195004 112.932178 \nL 50.697114 97.704433 \nL 46.657965 83.079466 \nL 44.444492 69.836419 \nL 44.381687 58.766523 \nL 46.709264 50.560687 \nL 51.540124 45.690573 \nL 58.830485 44.315367 \nL 68.370872 46.245828 \nL 79.802965 50.981641 \nL 92.660473 57.81263 \nL 106.424937 65.951727 \nL 134.677985 83.333134 \nL 148.333748 91.539604 \nL 161.274129 99.016496 \nL 173.316707 105.640263 \nL 184.361077 111.388025 \nL 194.372021 116.300885 \nL 203.362248 120.454675 \nL 211.377021 123.939419 \nL 218.481683 126.846421 \nL 224.752209 129.261038 \nL 235.109523 132.907047 \nL 243.062928 135.365027 \nL 249.147936 136.98098 \nL 253.799396 137.995772 \nL 257.355772 138.578634 \nL 260.073361 138.851766 \nL 262.979347 138.875219 \nL 264.857083 138.633565 \nL 265.983337 138.29604 \nL 266.616698 137.912429 \nL 266.64377 137.809246 \nL 266.598284 137.787942 \nL 266.268132 137.860992 \nL 265.50583 138.291339 \nL 264.578177 139.062593 \nL 263.695798 140.066066 \nL 263.039359 141.149276 \nL 262.776607 141.912627 \nL 262.748963 142.557141 \nL 262.967934 143.021834 \nL 263.246794 143.207042 \nL 263.843838 143.271777 \nL 264.614479 143.065437 \nL 265.496402 142.591744 \nL 266.412854 141.879874 \nL 267.277839 140.985168 \nL 268.003284 139.986987 \nL 268.508031 138.98271 \nL 268.727853 138.077788 \nL 268.624988 137.372879 \nL 268.373558 137.055811 \nL 267.983858 136.882147 \nL 267.470734 136.862186 \nL 266.517508 137.124263 \nL 265.427716 137.714275 \nL 264.30844 138.57681 \nL 263.269065 139.631523 \nL 262.409718 140.782791 \nL 261.812233 141.928811 \nL 261.534241 142.969361 \nL 261.54261 143.558284 \nL 261.709185 144.034469 \nL 262.030481 144.376609 \nL 262.497533 144.56722 \nL 263.096023 144.593337 \nL 263.80647 144.447236 \nL 265.02744 143.90337 \nL 266.343491 142.993559 \nL 267.635977 141.779936 \nL 268.776604 140.363764 \nL 269.639337 138.880186 \nL 270.115642 137.485679 \nL 270.179778 136.6843 \nL 270.02734 136.035941 \nL 269.658565 135.575983 \nL 269.085162 135.330056 \nL 268.329913 135.312382 \nL 267.425476 135.525102 \nL 266.412398 135.958626 \nL 264.790178 136.97657 \nL 263.190031 138.342169 \nL 261.767645 139.926284 \nL 260.655848 141.587989 \nL 260.138113 142.669093 \nL 259.82416 143.681959 \nL 259.72699 144.589013 \nL 259.852195 145.3556 \nL 260.198178 145.950544 \nL 260.756355 146.346725 \nL 261.511292 146.521871 \nL 262.440763 146.459516 \nL 263.515839 146.15018 \nL 264.700917 145.592742 \nL 265.953997 144.795867 \nL 267.227194 143.779354 \nL 268.467795 142.575106 \nL 269.619843 141.227473 \nL 270.626446 139.792523 \nL 271.432819 138.336192 \nL 271.989817 136.930912 \nL 272.257827 135.651089 \nL 272.210431 134.567613 \nL 271.837478 133.742232 \nL 271.530685 133.441828 \nL 270.690201 133.087023 \nL 269.57842 133.07453 \nL 268.246382 133.404014 \nL 266.757265 134.056458 \nL 265.181749 134.997061 \nL 263.59313 136.179096 \nL 262.062743 137.548051 \nL 260.6561 139.045459 \nL 259.430161 140.611901 \nL 258.431669 142.189252 \nL 257.696516 143.722008 \nL 257.249825 145.158002 \nL 257.106564 146.448641 \nL 257.272302 147.549003 \nL 257.743942 148.417934 \nL 258.510247 149.018332 \nL 259.552019 149.317855 \nL 260.842001 149.29006 \nL 262.344434 148.916151 \nL 264.014544 148.187232 \nL 265.798036 147.107044 \nL 267.630932 145.694949 \nL 269.440135 143.988709 \nL 271.144965 142.046448 \nL 272.660104 139.947101 \nL 273.899967 137.788592 \nL 274.784606 135.683148 \nL 275.246568 133.749631 \nL 275.303156 132.883902 \nL 275.238046 132.103639 \nL 275.049352 131.420977 \nL 274.737096 130.846499 \nL 274.303279 130.388981 \nL 273.751882 130.05519 \nL 273.088815 129.84974 \nL 272.321833 129.775028 \nL 271.460371 129.831261 \nL 269.49883 130.326969 \nL 267.304577 131.299281 \nL 264.988779 132.686389 \nL 262.664306 134.410603 \nL 260.437715 136.386353 \nL 258.403185 138.526888 \nL 256.638811 140.748771 \nL 255.205187 142.97443 \nL 254.145801 145.132938 \nL 253.488669 147.159689 \nL 253.2485 148.995452 \nL 253.42892 150.585245 \nL 253.675412 151.271641 \nL 254.024286 151.877383 \nL 254.473583 152.396442 \nL 255.020864 152.822961 \nL 255.663211 153.151281 \nL 256.397197 153.375989 \nL 257.218857 153.491948 \nL 258.123644 153.494397 \nL 259.106378 153.37902 \nL 261.281395 152.78054 \nL 263.687268 151.675923 \nL 266.252998 150.061177 \nL 268.891507 147.955065 \nL 271.498941 145.405599 \nL 273.955954 142.495634 \nL 276.131542 139.345795 \nL 277.890274 136.112905 \nL 278.572332 134.522392 \nL 279.102881 132.981964 \nL 279.46891 131.51671 \nL 279.659514 130.151266 \nL 279.666347 128.909102 \nL 279.483983 127.811771 \nL 279.110216 126.878241 \nL 278.546294 126.12425 \nL 277.796996 125.561854 \nL 276.870622 125.199102 \nL 275.778814 125.039875 \nL 274.536303 125.08394 \nL 273.160514 125.327169 \nL 271.671063 125.761884 \nL 270.089239 126.377353 \nL 268.43742 127.160355 \nL 265.015235 129.16718 \nL 261.583805 131.649179 \nL 258.306788 134.468745 \nL 255.321942 137.4958 \nL 252.73627 140.614299 \nL 250.625871 143.72414 \nL 249.039158 146.739917 \nL 248.00196 149.588024 \nL 247.692694 150.928542 \nL 247.523072 152.203082 \nL 247.49237 153.404213 \nL 247.599382 154.524612 \nL 247.842518 155.55701 \nL 248.219861 156.494111 \nL 248.729219 157.328568 \nL 249.368143 158.052915 \nL 250.133918 158.659572 \nL 251.023534 159.140843 \nL 252.033637 159.488926 \nL 253.160453 159.695995 \nL 254.399681 159.754231 \nL 255.746377 159.655963 \nL 257.19482 159.393801 \nL 258.738356 158.960842 \nL 260.369227 158.350887 \nL 262.078387 157.558739 \nL 263.855335 156.580536 \nL 265.687927 155.414154 \nL 267.562208 154.059602 \nL 269.462292 152.519525 \nL 271.370228 150.799687 \nL 273.265974 148.909421 \nL 275.127427 146.862136 \nL 276.930512 144.675652 \nL 278.649411 142.37249 \nL 280.2569 139.979983 \nL 281.724826 137.530146 \nL 283.0247 135.059356 \nL 284.128469 132.607653 \nL 285.009342 130.217843 \nL 285.642756 127.934213 \nL 286.007362 125.801076 \nL 286.086016 123.861102 \nL 285.866672 122.153594 \nL 285.343184 120.712848 \nL 284.515833 119.566657 \nL 283.391657 118.735188 \nL 281.984435 118.230258 \nL 280.314386 118.055112 \nL 278.40753 118.204689 \nL 276.294807 118.666351 \nL 274.010997 119.420976 \nL 271.593467 120.444314 \nL 269.080893 121.708476 \nL 266.512037 123.183406 \nL 263.924576 124.838218 \nL 261.354137 126.642392 \nL 258.833513 128.566696 \nL 256.392099 130.583831 \nL 254.05552 132.668878 \nL 251.845505 134.799489 \nL 249.779893 136.955899 \nL 247.872798 139.12083 \nL 246.134892 141.279278 \nL 244.573745 143.418263 \nL 243.194228 145.526525 \nL 241.998919 147.594241 \nL 240.988523 149.612737 \nL 240.162264 151.574238 \nL 239.518246 153.471628 \nL 239.053785 155.298238 \nL 238.765695 157.047653 \nL 238.650522 158.713544 \nL 238.704751 160.289543 \nL 238.924954 161.769097 \nL 239.307904 163.145356 \nL 239.850654 164.411077 \nL 240.550571 165.558518 \nL 241.405337 166.579364 \nL 242.412926 167.464659 \nL 243.571529 168.204736 \nL 244.879472 168.789207 \nL 246.335083 169.206907 \nL 247.936527 169.445932 \nL 249.681616 169.493688 \nL 251.567589 169.336969 \nL 253.590823 168.962153 \nL 255.746552 168.355401 \nL 258.028509 167.503004 \nL 260.428562 166.391827 \nL 262.936296 165.009865 \nL 265.538586 163.346945 \nL 268.21918 161.395565 \nL 270.958226 159.151906 \nL 273.731923 156.616963 \nL 276.512157 153.797773 \nL 279.266299 150.708697 \nL 281.95715 147.372641 \nL 284.543081 143.822168 \nL 286.978461 140.100266 \nL 289.214396 136.260666 \nL 291.199837 132.367557 \nL 292.883058 128.494468 \nL 294.21352 124.722276 \nL 295.144011 121.136302 \nL 295.63303 117.822577 \nL 295.647213 114.863512 \nL 295.163611 112.333287 \nL 294.171603 110.293495 \nL 292.674276 108.789399 \nL 290.689018 107.847409 \nL 288.247246 107.473979 \nL 285.393297 107.656079 \nL 282.182443 108.363205 \nL 278.678317 109.550592 \nL 274.94991 111.163197 \nL 271.068442 113.13988 \nL 267.10434 115.417499 \nL 263.124609 117.934383 \nL 259.190666 120.632964 \nL 255.356795 123.461607 \nL 251.669195 126.375572 \nL 248.165594 129.337283 \nL 244.875348 132.316051 \nL 241.819915 135.287447 \nL 239.013575 138.232469 \nL 236.464353 141.136654 \nL 234.174992 143.98918 \nL 232.143944 146.782055 \nL 230.366315 149.509451 \nL 228.834755 152.167066 \nL 227.540222 154.751701 \nL 226.472662 157.260852 \nL 225.621573 159.692415 \nL 224.976473 162.04448 \nL 224.527275 164.315146 \nL 224.264572 166.502366 \nL 224.179856 168.603854 \nL 224.265672 170.616973 \nL 224.515721 172.538639 \nL 224.924926 174.36524 \nL 225.489451 176.092537 \nL 226.206701 177.715554 \nL 227.075297 179.228503 \nL 228.095029 180.62462 \nL 229.266788 181.896061 \nL 230.592494 183.033757 \nL 232.074991 184.027254 \nL 233.717915 184.864562 \nL 235.525573 185.531983 \nL 237.502746 186.01393 \nL 239.6545 186.292799 \nL 241.985908 186.348809 \nL 244.50176 186.159928 \nL 247.206182 185.70182 \nL 250.102178 184.94794 \nL 253.191091 183.869713 \nL 256.471958 182.43693 \nL 259.940744 180.618378 \nL 263.589463 178.382794 \nL 267.405175 175.700226 \nL 271.368881 172.543828 \nL 275.45433 168.892194 \nL 279.626795 164.732298 \nL 283.841894 160.062925 \nL 288.044581 154.898572 \nL 292.168448 149.273576 \nL 296.13551 143.246097 \nL 299.856749 136.901405 \nL 303.23357 130.353788 \nL 306.160465 123.746342 \nL 308.528948 117.247773 \nL 310.23282 111.045748 \nL 311.174526 105.33657 \nL 311.272247 100.311741 \nL 310.467031 96.142726 \nL 308.729086 92.965794 \nL 306.062394 90.869367 \nL 302.506771 89.886052 \nL 298.136846 89.99105 \nL 293.057965 91.107108 \nL 287.399335 93.115149 \nL 281.305398 95.868644 \nL 274.926437 99.20899 \nL 268.409602 102.979573 \nL 261.891298 107.036842 \nL 255.491519 111.257423 \nL 249.310345 115.54149 \nL 243.426472 119.81291 \nL 237.897487 124.017153 \nL 232.761406 128.118016 \nL 228.038987 132.093835 \nL 223.736491 135.933837 \nL 219.848505 139.634939 \nL 216.36064 143.199138 \nL 213.251974 146.631476 \nL 210.497143 149.938616 \nL 208.068093 153.127844 \nL 205.935484 156.206413 \nL 204.069777 159.181192 \nL 202.442052 162.058464 \nL 201.024596 164.843847 \nL 198.717879 170.15824 \nL 196.96346 175.157311 \nL 195.606484 179.866613 \nL 194.049158 186.430456 \nL 191.182841 199.661511 \nL 189.814242 204.519641 \nL 188.742262 207.501779 \nL 187.491871 210.278942 \nL 186.015618 212.846167 \nL 184.259821 215.191934 \nL 183.258023 216.275757 \nL 182.162165 217.295559 \nL 180.962713 218.246707 \nL 179.649291 219.123448 \nL 178.210609 219.918683 \nL 176.634389 220.623716 \nL 174.907304 221.22795 \nL 173.014925 221.718521 \nL 170.941679 222.079885 \nL 168.670843 222.293328 \nL 166.184561 222.336404 \nL 163.463911 222.182289 \nL 160.489053 221.799076 \nL 157.239446 221.148996 \nL 153.694221 220.187602 \nL 149.832676 218.862968 \nL 145.635026 217.114958 \nL 141.083395 214.874691 \nL 136.163164 212.064368 \nL 130.864746 208.597709 \nL 125.185869 204.381324 \nL 119.134436 199.317427 \nL 112.732062 193.30847 \nL 106.018262 186.264259 \nL 99.055223 178.112137 \nL 91.932989 168.810717 \nL 84.774583 158.367106 \nL 77.740431 146.856972 \nL 71.031006 134.445411 \nL 64.88637 121.405075 \nL 59.581016 108.126218 \nL 55.412409 95.112126 \nL 52.682257 82.953454 \nL 51.670678 72.277967 \nL 52.605179 63.677876 \nL 55.628716 57.625513 \nL 60.772912 54.395611 \nL 67.94296 54.015743 \nL 76.919334 56.261319 \nL 87.377611 60.699039 \nL 98.923162 66.76661 \nL 111.133498 73.865773 \nL 135.959028 89.051389 \nL 159.251575 103.160507 \nL 169.817656 109.349021 \nL 188.363668 119.80915 \nL 203.443997 127.956999 \nL 228.707378 141.213592 \nL 240.558579 147.283483 \nL 244.9472 149.294624 \nL 248.737757 150.716823 \nL 250.481214 151.216316 \nL 252.153569 151.577046 \nL 253.772635 151.799708 \nL 255.352758 151.884541 \nL 256.90509 151.83158 \nL 258.43781 151.640917 \nL 259.956343 151.312957 \nL 261.463531 150.84865 \nL 262.959807 150.249724 \nL 264.443339 149.518947 \nL 265.910177 148.660334 \nL 267.354385 147.679399 \nL 270.142167 145.381238 \nL 272.725648 142.70552 \nL 275.003744 139.76674 \nL 276.864017 136.712335 \nL 277.601948 135.195447 \nL 278.193909 133.716432 \nL 278.627992 132.299156 \nL 278.894001 130.967262 \nL 278.983893 129.743491 \nL 278.892136 128.649029 \nL 278.616061 127.702842 \nL 278.156077 126.921081 \nL 277.515838 126.316633 \nL 276.702236 125.898719 \nL 275.725331 125.672735 \nL 274.598149 125.640196 \nL 273.336342 125.798893 \nL 271.957806 126.143131 \nL 270.482188 126.664159 \nL 268.930373 127.350632 \nL 265.684693 129.164868 \nL 262.392644 131.463894 \nL 259.214463 134.117554 \nL 256.288092 136.999698 \nL 253.723451 139.995499 \nL 251.601205 143.004383 \nL 249.975002 145.939626 \nL 248.875749 148.72614 \nL 248.528412 150.042578 \nL 248.316658 151.297373 \nL 248.240177 152.48303 \nL 248.2981 153.592212 \nL 248.489119 154.617665 \nL 248.81154 155.55218 \nL 249.263345 156.388521 \nL 249.842207 157.119393 \nL 250.545509 157.737431 \nL 251.370315 158.235194 \nL 252.31333 158.605198 \nL 253.370829 158.839933 \nL 254.538578 158.93195 \nL 255.811734 158.873971 \nL 257.184708 158.65899 \nL 258.651035 158.280492 \nL 260.203223 157.732618 \nL 261.832587 157.010472 \nL 263.529086 156.110389 \nL 265.28116 155.030312 \nL 267.075586 153.770166 \nL 268.89735 152.332297 \nL 270.729547 150.721901 \nL 272.553328 148.947466 \nL 274.347944 147.021192 \nL 276.090819 144.959334 \nL 277.757734 142.782466 \nL 279.32316 140.515594 \nL 280.760643 138.18807 \nL 282.043351 135.833316 \nL 283.144762 133.488282 \nL 284.039399 131.192604 \nL 284.703713 128.987547 \nL 285.11697 126.914702 \nL 285.262172 125.014477 \nL 285.126877 123.324583 \nL 284.703972 121.878468 \nL 283.992216 120.703951 \nL 282.996578 119.822098 \nL 281.728311 119.246455 \nL 280.204748 118.982708 \nL 278.448801 119.028777 \nL 276.488219 119.375335 \nL 274.354647 120.006714 \nL 272.082524 120.902045 \nL 269.707932 122.036565 \nL 267.26743 123.38294 \nL 264.796972 124.912561 \nL 262.330951 126.596666 \nL 259.901399 128.407289 \nL 257.537409 130.317935 \nL 255.264719 132.304089 \nL 253.105486 134.34347 \nL 251.078253 136.416144 \nL 249.198033 138.50447 \nL 247.476528 140.592977 \nL 245.922404 142.668125 \nL 244.541643 144.718099 \nL 243.337911 146.732502 \nL 242.31294 148.702138 \nL 241.466894 150.618744 \nL 240.798722 152.474758 \nL 240.306468 154.263117 \nL 239.987562 155.977081 \nL 239.839047 157.610057 \nL 239.857788 159.15546 \nL 240.040623 160.606594 \nL 240.384498 161.956505 \nL 240.886533 163.197915 \nL 241.544068 164.323118 \nL 242.354683 165.323893 \nL 243.316172 166.191455 \nL 244.426485 166.916392 \nL 245.683643 167.488644 \nL 247.085618 167.897481 \nL 248.630189 168.131532 \nL 250.314749 168.178842 \nL 252.136099 168.026978 \nL 254.090191 167.663182 \nL 256.171835 167.074627 \nL 258.374397 166.248724 \nL 260.689442 165.173554 \nL 263.10634 163.838397 \nL 265.611913 162.234415 \nL 268.189992 160.355417 \nL 270.821075 158.19881 \nL 273.481954 155.766621 \nL 276.145443 153.066611 \nL 278.780216 150.113411 \nL 281.350762 146.92962 \nL 283.817598 143.546733 \nL 286.137658 140.0058 \nL 288.265028 136.357642 \nL 290.151986 132.662499 \nL 291.750382 128.988977 \nL 293.013323 125.412199 \nL 293.897155 122.01115 \nL 294.363607 118.865345 \nL 294.381952 116.050916 \nL 293.931084 113.636547 \nL 293.001217 111.679593 \nL 291.595099 110.222696 \nL 289.728571 109.291563 \nL 287.430357 108.893833 \nL 284.74105 109.019485 \nL 281.711426 109.642455 \nL 278.400104 110.723353 \nL 274.870907 112.212995 \nL 271.190018 114.056045 \nL 267.423269 116.194722 \nL 263.633694 118.57191 \nL 259.879511 121.13369 \nL 256.212642 123.831106 \nL 252.677738 126.621173 \nL 249.31176 129.467268 \nL 246.143965 132.338991 \nL 243.196255 135.211716 \nL 240.483803 138.065903 \nL 238.015825 140.886326 \nL 235.79647 143.661271 \nL 233.825704 146.381833 \nL 232.100192 149.041238 \nL 230.614111 151.634298 \nL 229.359894 154.156962 \nL 228.328859 156.605925 \nL 227.511769 158.978344 \nL 226.899283 161.271608 \nL 226.482326 163.483129 \nL 226.252378 165.610212 \nL 226.201694 167.649927 \nL 226.323466 169.598995 \nL 226.611931 171.453674 \nL 227.062434 173.209673 \nL 227.671465 174.862044 \nL 228.436651 176.405092 \nL 229.356737 177.832224 \nL 230.431531 179.135878 \nL 231.661833 180.307347 \nL 233.049351 181.336671 \nL 234.596581 182.212478 \nL 236.306666 182.921857 \nL 238.183234 183.450189 \nL 240.230189 183.781027 \nL 242.451476 183.895993 \nL 244.850779 183.774699 \nL 247.431167 183.394753 \nL 250.19468 182.73182 \nL 253.141819 181.759833 \nL 256.270957 180.451375 \nL 259.577645 178.778248 \nL 263.053816 176.712356 \nL 266.686883 174.226923 \nL 270.458775 171.298085 \nL 274.344847 167.906969 \nL 278.312837 164.042237 \nL 282.321831 159.703085 \nL 286.321383 154.902631 \nL 290.250887 149.671453 \nL 294.039435 144.061048 \nL 297.606236 138.146711 \nL 300.861891 132.029262 \nL 303.710628 125.835037 \nL 306.053659 119.713434 \nL 307.793665 113.831576 \nL 308.840276 108.365843 \nL 309.116169 103.490779 \nL 308.56334 99.366137 \nL 307.148822 96.123682 \nL 304.869022 93.855705 \nL 301.7521 92.60699 \nL 297.857757 92.371921 \nL 293.27434 93.096995 \nL 288.113534 94.688587 \nL 282.503191 97.024262 \nL 276.57926 99.965799 \nL 270.477744 103.371823 \nL 264.327516 107.108394 \nL 258.244676 111.05652 \nL 252.328681 115.116444 \nL 246.660316 119.209026 \nL 241.30127 123.274876 \nL 236.294978 127.272016 \nL 231.668358 131.172909 \nL 227.434058 134.961276 \nL 223.592929 138.629181 \nL 220.136466 142.174507 \nL 217.049109 145.598984 \nL 214.31026 148.906629 \nL 211.896031 152.10269 \nL 209.780662 155.192871 \nL 207.937671 158.182883 \nL 206.340734 161.078154 \nL 204.964342 163.883695 \nL 203.784269 166.604025 \nL 202.777884 169.243197 \nL 201.20464 174.292156 \nL 200.100236 179.055198 \nL 199.349431 183.552414 \nL 198.863334 187.800756 \nL 198.49035 193.738615 \nL 198.41738 199.193436 \nL 198.56073 204.20384 \nL 198.883306 208.80414 \nL 199.381466 213.024542 \nL 200.077827 216.890691 \nL 200.674128 219.281473 \nL 201.398534 221.527953 \nL 202.27645 223.632224 \nL 203.339695 225.593658 \nL 204.627688 227.407826 \nL 206.188948 229.064907 \nL 208.082957 230.547314 \nL 210.382359 231.826198 \nL 211.711004 232.375994 \nL 213.175506 232.856267 \nL 214.78982 233.257549 \nL 216.569229 233.568219 \nL 218.530432 233.774065 \nL 220.691595 233.857759 \nL 223.072408 233.798234 \nL 225.694082 233.569957 \nL 228.579304 233.142089 \nL 231.752113 232.477529 \nL 235.237669 231.531843 \nL 239.061869 230.252114 \nL 243.25077 228.575754 \nL 247.829735 226.429366 \nL 252.822236 223.727816 \nL 258.248187 220.373721 \nL 264.121716 216.257719 \nL 270.448229 211.259984 \nL 277.220618 205.253621 \nL 284.414558 198.110803 \nL 291.982782 189.712541 \nL 299.848448 179.963151 \nL 307.897885 168.810058 \nL 315.973321 156.269163 \nL 323.866699 142.454403 \nL 331.31614 127.608256 \nL 338.007311 112.126971 \nL 343.582174 96.571283 \nL 347.657511 81.651598 \nL 349.854548 68.177763 \nL 349.838661 56.970021 \nL 347.364962 48.7399 \nL 342.32163 43.964989 \nL 334.76068 42.792159 \nL 324.906454 45.002936 \nL 313.136668 50.057084 \nL 299.93837 57.202881 \nL 285.848799 65.618681 \nL 257.044178 83.36242 \nL 243.173836 91.646264 \nL 230.059678 99.139528 \nL 217.880264 105.72942 \nL 206.730784 111.404072 \nL 196.641003 116.214399 \nL 187.593248 120.244336 \nL 179.538161 123.590291 \nL 172.407297 126.348547 \nL 166.122557 128.608398 \nL 160.602833 130.449119 \nL 151.543795 133.137073 \nL 144.651139 134.844564 \nL 139.444439 135.878006 \nL 135.544439 136.455268 \nL 131.527212 136.799591 \nL 128.146838 136.816169 \nL 127.345639 136.885443 \nL 127.358353 137.035543 \nL 127.915381 137.633492 \nL 129.361903 139.21402 \nL 130.272527 140.537797 \nL 130.755916 141.541415 \nL 130.992927 142.460534 \nL 130.945325 143.215134 \nL 130.749014 143.591663 \nL 130.424272 143.846393 \nL 129.97962 143.965691 \nL 129.428497 143.940174 \nL 128.442879 143.622018 \nL 127.337801 142.977923 \nL 126.209128 142.048186 \nL 125.163743 140.906038 \nL 124.310506 139.654891 \nL 123.748501 138.420211 \nL 123.553796 137.335845 \nL 123.649866 136.758892 \nL 123.929457 136.335481 \nL 124.384495 136.08886 \nL 124.997662 136.033235 \nL 125.74327 136.172991 \nL 127.037202 136.734659 \nL 128.425637 137.666648 \nL 129.771036 138.878867 \nL 130.943202 140.25898 \nL 131.83192 141.684665 \nL 132.355156 143.033565 \nL 132.474937 143.832863 \nL 132.40288 144.515423 \nL 132.138925 145.053158 \nL 131.689412 145.421706 \nL 131.066962 145.601193 \nL 130.290339 145.576995 \nL 129.384312 145.340761 \nL 128.379489 144.891464 \nL 127.311939 144.23646 \nL 125.683708 142.907562 \nL 124.160754 141.254617 \nL 122.904075 139.425739 \nL 122.28998 138.200161 \nL 121.900166 137.040278 \nL 121.763509 136.006964 \nL 121.897008 135.156554 \nL 122.303745 134.536555 \nL 122.971826 134.18199 \nL 123.874627 134.112922 \nL 124.972263 134.333383 \nL 126.214226 134.831916 \nL 127.542802 135.583382 \nL 128.896905 136.551618 \nL 130.215787 137.692619 \nL 131.442326 138.957543 \nL 132.525589 140.295389 \nL 133.422559 141.65508 \nL 134.099104 142.986957 \nL 134.530273 144.243713 \nL 134.700147 145.380972 \nL 134.601432 146.35766 \nL 134.235012 147.136329 \nL 133.609552 147.683612 \nL 132.741311 147.970915 \nL 131.654106 147.975436 \nL 130.379478 147.681591 \nL 128.956902 147.082777 \nL 127.43394 146.183455 \nL 125.866041 145.001335 \nL 124.31584 143.569245 \nL 122.85168 141.936397 \nL 121.545102 140.168444 \nL 120.467257 138.345825 \nL 119.684319 136.560044 \nL 119.252207 134.907887 \nL 119.211134 133.483966 \nL 119.344321 132.884552 \nL 119.580883 132.372549 \nL 119.919542 131.955595 \nL 120.35746 131.639811 \nL 120.890238 131.429685 \nL 121.511988 131.327983 \nL 122.992103 131.452326 \nL 124.72584 132.001389 \nL 126.627438 132.940152 \nL 128.604113 134.215317 \nL 130.562892 135.761396 \nL 132.416538 137.506564 \nL 134.088014 139.377495 \nL 135.513216 141.302775 \nL 136.642102 143.214902 \nL 137.438523 145.051137 \nL 137.87921 146.753481 \nL 137.952329 148.268314 \nL 137.656059 149.545912 \nL 137.371283 150.081172 \nL 136.997451 150.540076 \nL 136.536722 150.91741 \nL 135.991754 151.208224 \nL 135.36572 151.40786 \nL 133.885848 151.516806 \nL 132.133706 151.215211 \nL 130.156049 150.483432 \nL 128.01111 149.314807 \nL 125.769666 147.720047 \nL 123.5155 145.731795 \nL 121.34466 143.40881 \nL 119.362902 140.838622 \nL 117.680959 138.137292 \nL 116.407389 135.445202 \nL 115.639258 132.918033 \nL 115.469365 131.765892 \nL 115.451743 130.713337 \nL 115.590713 129.7777 \nL 115.888078 128.974369 \nL 116.342987 128.316376 \nL 116.951839 127.814015 \nL 117.708321 127.474589 \nL 118.603468 127.302294 \nL 119.625905 127.298167 \nL 120.762081 127.46022 \nL 121.99661 127.783651 \nL 123.312668 128.261137 \nL 126.11741 129.638698 \nL 129.028943 131.498959 \nL 131.903238 133.733387 \nL 134.610041 136.230225 \nL 137.03978 138.882549 \nL 139.106735 141.592827 \nL 140.748993 144.274351 \nL 141.926132 146.850636 \nL 142.615689 149.253547 \nL 142.774564 150.370427 \nL 142.809317 151.421056 \nL 142.720548 152.398265 \nL 142.50935 153.295018 \nL 142.177257 154.10436 \nL 141.726214 154.819399 \nL 141.158545 155.433275 \nL 140.476966 155.939156 \nL 139.684601 156.330276 \nL 138.785029 156.599957 \nL 137.782329 156.741656 \nL 136.68117 156.749063 \nL 135.486885 156.616209 \nL 134.205592 156.337606 \nL 132.84429 155.908415 \nL 131.410993 155.324663 \nL 129.914838 154.583465 \nL 128.366219 153.683313 \nL 126.776893 152.624378 \nL 125.16006 151.408828 \nL 123.530452 150.041166 \nL 121.904336 148.528567 \nL 120.299518 146.881188 \nL 118.73524 145.112422 \nL 117.232047 143.239093 \nL 115.81154 141.281582 \nL 114.496067 139.263737 \nL 113.30831 137.212693 \nL 112.270754 135.158506 \nL 111.405138 133.133537 \nL 110.731776 131.171719 \nL 110.268878 129.307569 \nL 110.031821 127.575143 \nL 110.032499 126.006826 \nL 110.278694 124.632194 \nL 110.773603 123.476875 \nL 111.515483 122.561601 \nL 112.497516 121.901459 \nL 113.707849 121.505484 \nL 115.129862 121.376457 \nL 116.742647 121.511161 \nL 118.521634 121.900791 \nL 120.439393 122.531716 \nL 122.466477 123.386348 \nL 124.57236 124.444118 \nL 126.726286 125.682488 \nL 128.89813 127.077886 \nL 131.059094 128.606531 \nL 135.243342 131.971462 \nL 139.09447 135.605431 \nL 142.472694 139.361619 \nL 145.282918 143.120094 \nL 146.45624 144.969344 \nL 147.469208 146.78465 \nL 148.319565 148.556782 \nL 149.006413 150.277254 \nL 149.529932 151.938179 \nL 149.891132 153.532074 \nL 150.091639 155.051711 \nL 150.133504 156.49 \nL 150.019046 157.83986 \nL 149.750736 159.094107 \nL 149.331098 160.245375 \nL 148.762664 161.286011 \nL 148.047945 162.208041 \nL 147.189438 163.003109 \nL 146.189672 163.662428 \nL 145.05126 164.176786 \nL 143.777016 164.536558 \nL 142.370068 164.731741 \nL 140.83402 164.752027 \nL 139.173131 164.586933 \nL 137.392531 164.22598 \nL 135.498462 163.658926 \nL 133.49853 162.876078 \nL 131.401999 161.868666 \nL 129.22008 160.629354 \nL 126.966226 159.152771 \nL 124.656446 157.436195 \nL 122.309543 155.480294 \nL 119.947368 153.289915 \nL 117.59494 150.874929 \nL 115.280534 148.251034 \nL 113.035575 145.44051 \nL 110.894402 142.472754 \nL 108.893843 139.384645 \nL 107.072512 136.220472 \nL 105.469938 133.031475 \nL 104.125414 129.874855 \nL 103.076612 126.812195 \nL 102.358084 123.907402 \nL 101.999627 121.224123 \nL 102.024675 118.82289 \nL 102.448805 116.758162 \nL 103.278531 115.075547 \nL 104.510473 113.809433 \nL 106.130996 112.981397 \nL 108.116406 112.599371 \nL 110.433734 112.657856 \nL 113.041967 113.138955 \nL 115.893754 114.014275 \nL 118.937379 115.247234 \nL 122.11884 116.795719 \nL 125.383938 118.614733 \nL 128.680126 120.65873 \nL 131.958137 122.88361 \nL 135.173214 125.248219 \nL 138.285996 127.715327 \nL 141.262989 130.252154 \nL 144.076713 132.830495 \nL 146.705574 135.426569 \nL 149.133494 138.020631 \nL 151.349394 140.596496 \nL 153.346568 143.141022 \nL 155.122013 145.643554 \nL 156.675764 148.095412 \nL 158.010229 150.489461 \nL 159.129596 152.819707 \nL 160.03928 155.080962 \nL 160.745455 157.26855 \nL 161.254646 159.378105 \nL 161.573392 161.405344 \nL 161.707979 163.345917 \nL 161.664224 165.195261 \nL 161.44732 166.948469 \nL 161.061717 168.600189 \nL 160.511073 170.144479 \nL 159.798206 171.574736 \nL 158.925106 172.883554 \nL 157.892967 174.062643 \nL 156.702255 175.102705 \nL 155.352789 175.993318 \nL 153.843866 176.722871 \nL 152.174425 177.278425 \nL 150.34321 177.645689 \nL 148.349008 177.808941 \nL 146.190912 177.751039 \nL 143.868635 177.453477 \nL 141.382883 176.896536 \nL 138.735784 176.05951 \nL 135.931373 174.921085 \nL 132.976172 173.459933 \nL 129.879806 171.65545 \nL 126.655713 169.48879 \nL 123.321852 166.944145 \nL 119.901486 164.010383 \nL 116.423923 160.682932 \nL 112.925192 156.965945 \nL 109.448573 152.87469 \nL 106.044885 148.437903 \nL 102.772467 143.700052 \nL 99.696664 138.723039 \nL 96.888727 133.587141 \nL 94.424075 128.390677 \nL 92.379771 123.248116 \nL 90.831305 118.286311 \nL 89.848708 113.638773 \nL 89.492305 109.438315 \nL 89.808366 105.80849 \nL 90.825104 102.854794 \nL 92.549519 100.656742 \nL 94.965512 99.261892 \nL 98.033584 98.682764 \nL 101.692324 98.897214 \nL 105.86154 99.852118 \nL 110.446791 101.469689 \nL 115.344746 103.655582 \nL 120.448858 106.307332 \nL 125.654725 109.322185 \nL 130.864708 112.60343 \nL 135.99148 116.064839 \nL 140.960358 119.633182 \nL 145.710491 123.248964 \nL 150.194999 126.865945 \nL 154.380335 130.449718 \nL 158.245052 133.975915 \nL 161.778233 137.42823 \nL 164.977769 140.796569 \nL 167.848621 144.075417 \nL 170.401175 147.262478 \nL 172.64976 150.3576 \nL 174.611354 153.36198 \nL 176.304495 156.277588 \nL 177.748382 159.106737 \nL 178.962171 161.85184 \nL 179.964427 164.515228 \nL 180.772717 167.099048 \nL 181.403321 169.605203 \nL 181.871039 172.035345 \nL 182.18908 174.390843 \nL 182.369 176.672786 \nL 182.420697 178.881987 \nL 182.352429 181.018952 \nL 182.170856 183.083885 \nL 181.881102 185.076675 \nL 181.486813 186.996843 \nL 180.990226 188.843515 \nL 180.392235 190.615369 \nL 179.692445 192.310576 \nL 178.889235 193.926717 \nL 177.979799 195.460697 \nL 176.960185 196.908628 \nL 175.825337 198.265702 \nL 174.569121 199.526041 \nL 173.184349 200.68252 \nL 171.662815 201.726559 \nL 169.99532 202.647896 \nL 168.171715 203.434311 \nL 166.18096 204.07132 \nL 164.011196 204.54184 \nL 161.64987 204.825817 \nL 159.083878 204.899831 \nL 156.299798 204.736668 \nL 153.28419 204.304921 \nL 150.023984 203.568604 \nL 146.507026 202.486858 \nL 142.722773 201.013798 \nL 138.663179 199.098597 \nL 134.323823 196.685928 \nL 129.705318 193.716938 \nL 124.814994 190.130926 \nL 119.668964 185.867975 \nL 114.294453 180.872817 \nL 108.732426 175.100085 \nL 103.040386 168.521222 \nL 97.295159 161.133025 \nL 91.595319 152.967469 \nL 86.062861 144.102262 \nL 80.843519 134.670702 \nL 76.105055 124.869001 \nL 72.032822 114.95856 \nL 68.822006 105.260411 \nL 66.66627 96.139677 \nL 65.743168 87.978899 \nL 66.197437 81.142001 \nL 68.124159 75.933309 \nL 71.554448 72.558968 \nL 76.446522 71.099211 \nL 82.684519 71.498552 \nL 90.085933 73.57698 \nL 98.416923 77.059728 \nL 107.413004 81.618322 \nL 116.80157 86.913483 \nL 126.322699 92.63136 \nL 135.745456 98.507824 \nL 153.573847 109.984595 \nL 169.277079 120.403503 \nL 182.465985 129.503635 \nL 188.121272 133.580136 \nL 193.189604 137.372229 \nL 197.714169 140.906714 \nL 201.744225 144.209461 \nL 205.331999 147.303897 \nL 211.391234 152.945385 \nL 216.296557 157.953002 \nL 225.75208 168.086705 \nL 229.116785 171.217243 \nL 230.81409 172.573901 \nL 232.548648 173.783483 \nL 234.338356 174.838188 \nL 236.199261 175.728775 \nL 238.145714 176.444499 \nL 240.19044 176.973088 \nL 242.344578 177.300714 \nL 244.617649 177.411998 \nL 247.017465 177.290045 \nL 249.54997 176.916573 \nL 252.218994 176.272084 \nL 255.025947 175.336191 \nL 257.969396 174.088075 \nL 261.044597 172.507145 \nL 264.242935 170.573901 \nL 267.551274 168.271065 \nL 270.951302 165.585011 \nL 274.418829 162.507495 \nL 277.923106 159.037643 \nL 281.426273 155.184231 \nL 284.882934 150.968034 \nL 288.240025 146.424159 \nL 291.437076 141.604096 \nL 294.406963 136.577109 \nL 297.077254 131.430696 \nL 299.37231 126.26964 \nL 301.216065 121.213359 \nL 302.53554 116.391395 \nL 303.264873 111.936994 \nL 303.349629 107.979261 \nL 302.751003 104.634478 \nL 301.449523 101.997593 \nL 299.447685 100.135071 \nL 296.771215 99.080084 \nL 293.468635 98.830834 \nL 289.609095 99.352299 \nL 285.278661 100.581062 \nL 280.575441 102.432367 \nL 275.604052 104.80846 \nL 270.470097 107.606739 \nL 265.275081 110.72707 \nL 260.112246 114.077247 \nL 255.063554 117.576641 \nL 250.197807 121.15794 \nL 245.569935 124.767368 \nL 241.221174 128.363781 \nL 237.179967 131.917096 \nL 233.463339 135.406395 \nL 230.078533 138.818019 \nL 227.024728 142.143792 \nL 224.29475 145.379533 \nL 221.876632 148.523806 \nL 219.755021 151.576987 \nL 217.912378 154.540539 \nL 216.329987 157.416518 \nL 214.988765 160.207227 \nL 213.869904 162.914988 \nL 212.955358 165.541991 \nL 212.228197 168.090224 \nL 211.672854 170.561442 \nL 211.275289 172.95711 \nL 211.023076 175.278434 \nL 210.905443 177.526322 \nL 210.913266 179.7014 \nL 211.039044 181.803984 \nL 211.276846 183.834074 \nL 211.622257 185.79132 \nL 212.072311 187.674984 \nL 212.625424 189.483911 \nL 213.281337 191.216452 \nL 214.041054 192.870399 \nL 214.906796 194.442895 \nL 215.881949 195.930339 \nL 216.971033 197.328259 \nL 218.179663 198.631168 \nL 219.51452 199.832406 \nL 220.983322 200.923935 \nL 222.594797 201.896127 \nL 224.358629 202.737499 \nL 226.285423 203.434431 \nL 228.386621 203.970847 \nL 230.674405 204.327848 \nL 233.161545 204.483334 \nL 235.861223 204.411594 \nL 238.78673 204.082902 \nL 241.951135 203.46313 \nL 245.366776 202.513428 \nL 249.044637 201.190019 \nL 252.993536 199.444205 \nL 257.219085 197.222674 \nL 261.722395 194.468271 \nL 266.498508 191.121417 \nL 271.53449 187.122367 \nL 276.807209 182.414589 \nL 282.280827 176.949463 \nL 287.904105 170.692532 \nL 293.60762 163.631388 \nL 299.301228 155.784946 \nL 304.872126 147.213695 \nL 310.184008 138.02975 \nL 315.078015 128.405174 \nL 319.376119 118.576149 \nL 322.887617 108.840486 \nL 325.419084 99.545873 \nL 326.787675 91.067479 \nL 326.837057 83.775461 \nL 325.454176 77.995793 \nL 322.584545 73.970583 \nL 318.243139 71.826187 \nL 312.518525 71.556643 \nL 305.568596 73.027189 \nL 297.608115 75.997394 \nL 288.88992 80.158309 \nL 279.683041 85.17502 \nL 270.251241 90.725304 \nL 260.835115 96.528246 \nL 242.827122 108.05744 \nL 226.78645 118.669305 \nL 213.204433 128.00013 \nL 207.354681 132.189157 \nL 202.101347 136.087952 \nL 197.405094 139.722358 \nL 193.219125 143.118261 \nL 189.49258 146.29968 \nL 183.208757 152.100327 \nL 178.146975 157.254182 \nL 166.871527 169.45399 \nL 163.533134 172.470153 \nL 161.829582 173.76718 \nL 160.077515 174.914492 \nL 158.260099 175.903527 \nL 156.362196 176.72425 \nL 154.370268 177.365073 \nL 152.272318 177.812846 \nL 150.057875 178.052805 \nL 147.718062 178.068586 \nL 145.245729 177.842303 \nL 142.635643 177.354652 \nL 139.884784 176.585162 \nL 136.992696 175.512561 \nL 133.961942 174.115297 \nL 130.798647 172.372287 \nL 127.513112 170.263915 \nL 124.120472 167.773284 \nL 120.641448 164.887818 \nL 117.103044 161.601169 \nL 113.539242 157.915385 \nL 109.991555 153.843337 \nL 106.509358 149.411208 \nL 103.149932 144.660864 \nL 99.978036 139.6518 \nL 97.064897 134.462298 \nL 94.48656 129.189444 \nL 92.321441 123.947493 \nL 90.647138 118.864394 \nL 89.536544 114.076271 \nL 89.05349 109.72007 \nL 89.248256 105.924877 \nL 90.153302 102.802765 \nL 91.779814 100.440254 \nL 94.115479 98.891785 \nL 97.123874 98.175873 \nL 100.745672 98.274998 \nL 104.901626 99.138809 \nL 109.497034 100.690462 \nL 114.427206 102.834722 \nL 119.583272 105.466829 \nL 124.857855 108.480791 \nL 130.149931 111.7762 \nL 135.368684 115.263058 \nL 140.436056 118.864634 \nL 145.28813 122.518469 \nL 149.875382 126.17591 \nL 154.162106 129.800751 \nL 158.125192 133.367365 \nL 161.752537 136.858633 \nL 165.041263 140.264015 \nL 167.995932 143.577825 \nL 170.626834 146.797768 \nL 172.948443 149.923845 \nL 174.978067 152.95745 \nL 176.734705 155.900803 \nL 178.238117 158.756479 \nL 179.508077 161.52716 \nL 180.563803 164.215431 \nL 181.423529 166.82369 \nL 182.104206 169.354095 \nL 182.621293 171.808521 \nL 182.988644 174.188587 \nL 183.218447 176.495619 \nL 183.321208 178.730681 \nL 183.305778 180.894549 \nL 182.947765 185.01044 \nL 182.184135 188.843626 \nL 181.656383 190.652802 \nL 181.031991 192.38879 \nL 180.3099 194.049792 \nL 179.487877 195.633429 \nL 178.562553 197.136638 \nL 177.529461 198.55557 \nL 176.383063 199.885453 \nL 175.116767 201.120437 \nL 173.72295 202.253424 \nL 172.192979 203.275846 \nL 170.517234 204.177428 \nL 168.685139 204.945916 \nL 166.685209 205.566754 \nL 164.505124 206.022747 \nL 162.131832 206.293657 \nL 159.551695 206.355798 \nL 156.750712 206.181585 \nL 153.714799 205.739096 \nL 150.430199 204.991668 \nL 146.884 203.897544 \nL 143.064845 202.40968 \nL 138.96382 200.47579 \nL 134.575607 198.038733 \nL 129.899909 195.03744 \nL 124.943205 191.408574 \nL 119.720834 187.089177 \nL 114.259452 182.020574 \nL 108.599764 176.153779 \nL 102.799494 169.456645 \nL 96.936298 161.922758 \nL 91.110447 153.581816 \nL 85.446666 144.510833 \nL 80.094662 134.844778 \nL 75.2275 124.784674 \nL 71.037138 114.600442 \nL 67.726455 104.625522 \nL 65.497429 95.24081 \nL 64.535795 86.846606 \nL 64.993443 79.824389 \nL 66.970445 74.493025 \nL 70.499848 71.067477 \nL 75.53815 69.629128 \nL 81.96399 70.115485 \nL 89.586131 72.33265 \nL 98.159863 75.987615 \nL 107.409025 80.732625 \nL 117.049949 86.211066 \nL 126.813324 92.095681 \nL 145.797568 104.057577 \nL 162.98295 115.208529 \nL 177.691315 125.009014 \nL 189.796578 133.438334 \nL 194.932419 137.195438 \nL 199.514774 140.685799 \nL 203.595185 143.937014 \nL 210.467368 149.817254 \nL 215.977617 154.990478 \nL 222.536204 161.627688 \nL 226.246015 165.366751 \nL 229.732919 168.562915 \nL 231.459332 169.9504 \nL 233.204441 171.190749 \nL 234.987791 172.27711 \nL 236.826779 173.20123 \nL 238.736803 173.953423 \nL 240.731394 174.522593 \nL 242.822268 174.89621 \nL 245.019348 175.060353 \nL 247.330699 174.999787 \nL 249.762412 174.698055 \nL 252.318421 174.137706 \nL 255.00024 173.300577 \nL 257.806617 172.168241 \nL 260.73314 170.722596 \nL 263.77175 168.946662 \nL 266.910213 166.825574 \nL 270.131529 164.347865 \nL 273.413367 161.506943 \nL 276.727505 158.302832 \nL 280.039353 154.744114 \nL 283.307631 150.849934 \nL 286.484283 146.651967 \nL 289.514714 142.196154 \nL 292.338447 137.54389 \nL 294.890336 132.772438 \nL 297.10231 127.974184 \nL 298.905775 123.254504 \nL 300.234594 118.728089 \nL 301.028512 114.513716 \nL 301.236875 110.727721 \nL 300.822264 107.476754 \nL 299.76376 104.850521 \nL 298.059417 102.915402 \nL 295.727617 101.709845 \nL 292.807014 101.24224 \nL 289.355078 101.491541 \nL 285.445213 102.410549 \nL 281.162836 103.931291 \nL 276.600778 105.971699 \nL 271.854461 108.442618 \nL 267.017355 111.254289 \nL 262.17706 114.321633 \nL 257.412284 117.567984 \nL 252.790795 120.927366 \nL 248.368361 124.345267 \nL 244.188538 127.778393 \nL 240.28317 131.193665 \nL 236.67336 134.566782 \nL 233.370791 137.880644 \nL 230.379178 141.123836 \nL 227.695766 144.289216 \nL 225.312766 147.37276 \nL 223.218664 150.372611 \nL 221.399389 153.28833 \nL 219.839298 156.120365 \nL 218.522003 158.869647 \nL 217.431038 161.537298 \nL 216.550378 164.124467 \nL 215.864842 166.632189 \nL 215.360375 169.061303 \nL 215.024255 171.4124 \nL 214.845223 173.685789 \nL 214.813554 175.881452 \nL 214.921091 177.999021 \nL 215.161243 180.037734 \nL 215.528957 181.99641 \nL 216.020681 183.873378 \nL 216.634318 185.666421 \nL 217.369169 187.372695 \nL 218.225876 188.98864 \nL 219.206367 190.509878 \nL 220.313802 191.931084 \nL 221.55251 193.245832 \nL 222.927941 194.446431 \nL 224.446599 195.523742 \nL 226.115976 196.46694 \nL 227.94447 197.263288 \nL 229.94129 197.89786 \nL 232.116319 198.353258 \nL 234.479967 198.60929 \nL 237.042949 198.642664 \nL 239.816011 198.426681 \nL 242.80958 197.930969 \nL 246.033297 197.121276 \nL 249.49544 195.959381 \nL 253.202177 194.403214 \nL 257.156665 192.40723 \nL 261.357918 189.923189 \nL 265.799451 186.901469 \nL 270.467708 183.293068 \nL 275.340204 179.052501 \nL 280.38352 174.141696 \nL 285.551122 168.535102 \nL 290.781223 162.225912 \nL 295.994836 155.233365 \nL 301.09436 147.610596 \nL 305.963074 139.452266 \nL 310.466026 130.900813 \nL 314.452795 122.149596 \nL 317.762581 113.441141 \nL 320.231958 105.058703 \nL 321.705149 97.310161 \nL 322.046266 90.504244 \nL 321.152458 84.921592 \nL 318.966156 80.784328 \nL 315.484523 78.229972 \nL 310.764107 77.295089 \nL 304.919461 77.912698 \nL 298.115449 79.924404 \nL 290.554172 83.104436 \nL 282.458617 87.190374 \nL 274.055448 91.914044 \nL 265.559473 97.027174 \nL 257.161569 102.3186 \nL 249.020882 107.622529 \nL 233.971822 117.829248 \nL 227.208817 122.608063 \nL 221.000834 127.135617 \nL 215.353384 131.4097 \nL 210.254039 135.439328 \nL 205.677099 139.239769 \nL 201.587642 142.82904 \nL 197.944877 146.225551 \nL 194.704811 149.44665 \nL 191.822301 152.50788 \nL 189.252557 155.422589 \nL 184.880046 160.854841 \nL 181.268319 165.807913 \nL 173.863579 176.278147 \nL 171.016016 179.700389 \nL 169.535233 181.235834 \nL 167.993906 182.646807 \nL 166.376517 183.926151 \nL 164.668465 185.06526 \nL 162.855922 186.053927 \nL 160.925757 186.88019 \nL 158.865463 187.530168 \nL 156.663186 187.987865 \nL 154.307765 188.235033 \nL 151.788861 188.251003 \nL 149.097169 188.012577 \nL 146.224685 187.493989 \nL 143.165116 186.666973 \nL 139.914368 185.500951 \nL 136.471178 183.963468 \nL 132.837883 182.020848 \nL 129.021319 179.63925 \nL 125.033888 176.786117 \nL 120.894735 173.432215 \nL 116.631023 169.554211 \nL 112.279291 165.137932 \nL 107.886722 160.182241 \nL 103.51224 154.703414 \nL 99.227291 148.739763 \nL 95.116025 142.356109 \nL 91.274678 135.647398 \nL 87.809838 128.740721 \nL 84.835394 121.794765 \nL 82.468014 114.995843 \nL 80.821164 108.549877 \nL 79.997861 102.670194 \nL 80.082746 97.56198 \nL 81.134211 93.404867 \nL 83.17764 90.336205 \nL 86.200743 88.43765 \nL 90.151963 87.727766 \nL 94.942358 88.162009 \nL 100.450993 89.640278 \nL 106.533182 92.02043 \nL 113.0305 95.135263 \nL 119.781211 98.809821 \nL 126.629911 102.876372 \nL 133.435311 107.185494 \nL 140.075761 111.612459 \nL 146.452261 116.059462 \nL 152.489298 120.454624 \nL 158.13392 124.748804 \nL 163.353593 128.911491 \nL 168.133366 132.926442 \nL 172.472741 136.787689 \nL 176.38258 140.496207 \nL 179.882233 144.057272 \nL 182.997033 147.478504 \nL 185.75617 150.768526 \nL 188.190968 153.936065 \nL 190.33353 156.989416 \nL 192.215708 159.936176 \nL 193.868355 162.783093 \nL 195.320808 165.536091 \nL 197.733063 170.780105 \nL 199.647775 175.701177 \nL 201.934564 182.528613 \nL 205.172671 192.553446 \nL 206.528625 196.112841 \nL 208.027772 199.416551 \nL 209.736148 202.457812 \nL 211.720694 205.221788 \nL 212.838587 206.492282 \nL 214.052838 207.682748 \nL 215.373592 208.787597 \nL 216.811645 209.799957 \nL 218.378511 210.711459 \nL 220.086492 211.511965 \nL 221.948704 212.189258 \nL 223.979121 212.728697 \nL 226.192556 213.112804 \nL 228.604627 213.320815 \nL 231.231669 213.328157 \nL 234.090571 213.105911 \nL 237.198544 212.620217 \nL 240.572763 211.831704 \nL 244.229859 210.694924 \nL 248.185263 209.157935 \nL 252.452273 207.162053 \nL 257.040876 204.641975 \nL 261.95621 201.526427 \nL 267.196652 197.739609 \nL 272.751442 193.203724 \nL 278.597845 187.843014 \nL 284.697847 181.589637 \nL 290.994502 174.391802 \nL 297.408068 166.224311 \nL 303.832295 157.101462 \nL 310.1314 147.091665 \nL 316.138481 136.332201 \nL 321.656307 125.041767 \nL 326.461555 113.527164 \nL 330.313509 102.179881 \nL 332.967951 91.458445 \nL 334.195959 81.854351 \nL 333.806472 73.842516 \nL 331.669849 67.822607 \nL 327.738504 64.062214 \nL 322.060236 62.655497 \nL 314.780528 63.508981 \nL 306.132213 66.359734 \nL 296.413693 70.821618 \nL 285.959601 76.447342 \nL 275.109576 82.790656 \nL 253.445823 96.125463 \nL 189.958991 135.857378 \nL 180.765143 142.025144 \nL 173.485215 147.212625 \nL 165.119034 153.544559 \nL 158.619401 158.414279 \nL 154.801783 160.899814 \nL 152.957884 161.911207 \nL 151.125847 162.763253 \nL 149.286152 163.45053 \nL 147.422261 163.966541 \nL 145.52045 164.303877 \nL 143.569683 164.454371 \nL 141.561526 164.409287 \nL 139.490123 164.159541 \nL 137.352211 163.695961 \nL 135.14718 163.009651 \nL 132.87718 162.092364 \nL 130.547271 160.936986 \nL 128.165564 159.538146 \nL 125.743438 157.892839 \nL 123.295685 156.001203 \nL 120.840666 153.86733 \nL 118.400431 151.500134 \nL 116.000713 148.914182 \nL 113.670831 146.130519 \nL 111.443456 143.177286 \nL 109.354169 140.090145 \nL 107.440792 136.912365 \nL 105.742506 133.694451 \nL 104.298738 130.493304 \nL 103.147771 127.370746 \nL 102.325213 124.391533 \nL 101.862338 121.620852 \nL 101.784415 119.121428 \nL 102.109112 116.950486 \nL 102.845186 115.156861 \nL 103.991504 113.778452 \nL 105.536539 112.840315 \nL 107.45846 112.353666 \nL 109.725729 112.315887 \nL 112.298321 112.71134 \nL 115.129337 113.51319 \nL 118.166973 114.685694 \nL 121.356644 116.186895 \nL 124.643123 117.971349 \nL 127.972509 119.992594 \nL 131.293929 122.205315 \nL 134.560903 124.566953 \nL 137.732297 127.038847 \nL 140.772904 129.586823 \nL 143.653652 132.181416 \nL 146.351526 134.797725 \nL 148.849216 137.415078 \nL 151.134624 140.016563 \nL 153.20024 142.588456 \nL 155.042458 145.119674 \nL 156.660877 147.601254 \nL 158.057652 150.025872 \nL 159.236837 152.387442 \nL 160.203843 154.680748 \nL 160.964928 156.901167 \nL 161.526769 159.044399 \nL 161.896114 161.106283 \nL 162.079494 163.082624 \nL 162.082986 164.969037 \nL 161.912055 166.76083 \nL 161.571425 168.452864 \nL 161.065008 170.039463 \nL 160.395854 171.514299 \nL 159.566167 172.870281 \nL 158.577308 174.09943 \nL 157.429868 175.192796 \nL 156.123739 176.140326 \nL 154.658236 176.93077 \nL 153.032235 177.551583 \nL 151.244338 177.988831 \nL 149.293099 178.227146 \nL 147.177268 178.249675 \nL 144.896086 178.038154 \nL 142.449646 177.572956 \nL 139.839306 176.833341 \nL 137.068154 175.797741 \nL 134.14157 174.444293 \nL 131.067837 172.751488 \nL 127.858809 170.699151 \nL 124.530678 168.269609 \nL 121.104734 165.449246 \nL 117.608149 162.23033 \nL 114.074691 158.613136 \nL 110.545357 154.608323 \nL 107.068806 150.239414 \nL 103.701451 145.545175 \nL 100.507147 140.581665 \nL 97.556344 135.423563 \nL 94.924553 130.164384 \nL 92.690064 124.915173 \nL 90.930898 119.801401 \nL 89.721083 114.95779 \nL 89.126361 110.521303 \nL 89.199711 106.62267 \nL 89.977048 103.377286 \nL 91.473599 100.876535 \nL 93.681434 99.180784 \nL 96.568565 98.315106 \nL 100.079805 98.268404 \nL 104.139453 98.996047 \nL 108.655492 100.42568 \nL 113.524914 102.465078 \nL 118.639496 105.010922 \nL 123.891489 107.957237 \nL 129.178672 111.202449 \nL 134.408359 114.654645 \nL 139.500224 118.234762 \nL 144.387854 121.877842 \nL 149.019215 125.53286 \nL 153.356197 129.161503 \nL 157.373512 132.736354 \nL 161.057152 136.238865 \nL 164.40265 139.657391 \nL 167.413284 142.985425 \nL 170.09835 146.220096 \nL 172.471592 149.361012 \nL 174.549817 152.40932 \nL 176.351716 155.367084 \nL 177.896897 158.236803 \nL 179.205111 161.021116 \nL 180.295647 163.722617 \nL 181.186883 166.343704 \nL 181.895964 168.886559 \nL 182.438583 171.353093 \nL 182.828841 173.744942 \nL 183.079184 176.063457 \nL 183.200379 178.309727 \nL 183.201533 180.484565 \nL 182.872107 184.621735 \nL 182.13246 188.475472 \nL 181.615485 190.294717 \nL 181.001308 192.040672 \nL 180.28904 193.711582 \nL 179.476608 195.3051 \nL 178.560795 196.818217 \nL 177.537276 198.247138 \nL 176.400647 199.587159 \nL 175.14445 200.832513 \nL 173.761191 201.97619 \nL 172.242361 203.00974 \nL 170.578464 203.923015 \nL 168.759041 204.703919 \nL 166.772729 205.338085 \nL 164.607319 205.808537 \nL 162.249873 206.095288 \nL 159.686857 206.174949 \nL 156.904352 206.020277 \nL 153.888356 205.599739 \nL 150.625152 204.877113 \nL 147.101844 203.811127 \nL 143.307034 202.355267 \nL 139.231712 200.457795 \nL 134.870363 198.062123 \nL 130.222391 195.107699 \nL 125.293825 191.531598 \nL 120.099387 187.271113 \nL 114.664902 182.267512 \nL 109.030005 176.471361 \nL 103.251062 169.849478 \nL 97.404104 162.393659 \nL 91.587482 154.130948 \nL 85.923793 145.134659 \nL 80.560459 135.535087 \nL 75.668317 125.527722 \nL 71.437354 115.376534 \nL 68.06904 105.409235 \nL 65.764838 96.002088 \nL 64.711197 87.552911 \nL 65.062121 80.443729 \nL 66.921337 74.997518 \nL 70.326866 71.436762 \nL 75.241082 69.852877 \nL 81.548762 70.194487 \nL 89.064363 72.278018 \nL 97.547708 75.818566 \nL 106.725597 80.473219 \nL 116.315549 85.886839 \nL 126.047788 91.730763 \nL 145.021185 103.669419 \nL 162.24473 114.846163 \nL 177.016325 124.693393 \nL 189.191271 133.174091 \nL 194.36046 136.956224 \nL 198.973862 140.470707 \nL 203.082427 143.745076 \nL 210.001002 149.669106 \nL 215.543891 154.883912 \nL 222.127381 161.582819 \nL 225.839973 165.364721 \nL 229.320625 168.606654 \nL 231.041069 170.018527 \nL 232.778598 171.284479 \nL 234.552971 172.397813 \nL 236.3818 173.350422 \nL 238.280716 174.132765 \nL 240.263489 174.733883 \nL 242.342105 175.141358 \nL 244.526771 175.341371 \nL 246.825879 175.318731 \nL 249.245893 175.056988 \nL 251.791166 174.538614 \nL 254.463691 173.745284 \nL 257.26276 172.658298 \nL 260.184577 171.259132 \nL 263.221768 169.5302 \nL 266.362848 167.45584 \nL 269.591644 165.02354 \nL 272.886706 162.225407 \nL 276.220711 159.059906 \nL 279.559966 155.533761 \nL 282.86403 151.664054 \nL 286.085574 147.480225 \nL 289.170553 143.025919 \nL 292.058781 138.360331 \nL 294.685024 133.558806 \nL 296.980697 128.712335 \nL 298.876177 123.925641 \nL 300.303722 119.313734 \nL 301.200915 114.996854 \nL 301.514389 111.093991 \nL 301.203594 107.715591 \nL 300.244235 104.956033 \nL 298.630925 102.886905 \nL 296.378806 101.551979 \nL 293.523739 100.964545 \nL 290.12104 101.107597 \nL 286.24279 101.936797 \nL 281.973958 103.385747 \nL 277.407783 105.37262 \nL 272.640876 107.807403 \nL 267.768502 110.598574 \nL 262.880492 113.658742 \nL 258.057998 116.90875 \nL 253.371282 120.280129 \nL 248.878495 123.716089 \nL 244.62536 127.171384 \nL 240.645592 130.611344 \nL 236.961838 134.010458 \nL 233.586996 137.350744 \nL 230.525673 140.620198 \nL 227.775721 143.81131 \nL 225.329705 146.919859 \nL 223.176257 149.943916 \nL 221.301277 152.883073 \nL 219.688962 155.73785 \nL 218.322664 158.509293 \nL 217.185579 161.198669 \nL 216.261297 163.80727 \nL 215.534217 166.336288 \nL 214.989846 168.786733 \nL 214.615022 171.159366 \nL 214.398043 173.454667 \nL 214.328752 175.672808 \nL 214.398566 177.813617 \nL 214.600481 179.876554 \nL 214.929047 181.860679 \nL 215.380328 183.764586 \nL 215.951853 185.586357 \nL 216.642564 187.323484 \nL 217.452759 188.972798 \nL 218.38403 190.530356 \nL 219.439216 191.991333 \nL 220.622342 193.349871 \nL 221.938574 194.598933 \nL 223.394155 195.730113 \nL 224.996344 196.733427 \nL 226.753353 197.597083 \nL 228.674256 198.307211 \nL 230.768877 198.847588 \nL 233.047666 199.199314 \nL 235.521494 199.340508 \nL 238.201438 199.245969 \nL 241.098446 198.886883 \nL 244.22295 198.230556 \nL 247.584339 197.240258 \nL 251.190303 195.875203 \nL 255.045996 194.090761 \nL 259.153013 191.839028 \nL 263.508131 189.069825 \nL 268.101835 185.732347 \nL 272.916533 181.777618 \nL 277.924621 177.161918 \nL 283.086287 171.851336 \nL 288.347273 165.82759 \nL 293.636739 159.094997 \nL 298.865463 151.68833 \nL 303.924744 143.680983 \nL 308.686499 135.192347 \nL 313.005003 126.392997 \nL 316.720824 117.505757 \nL 319.667382 108.800754 \nL 321.680176 100.582912 \nL 322.608506 93.171236 \nL 322.328717 86.871199 \nL 320.757538 81.943337 \nL 317.863521 78.573311 \nL 313.674499 76.849388 \nL 308.279321 76.752507 \nL 301.823038 78.161674 \nL 294.495873 80.873553 \nL 286.517679 84.631925 \nL 278.120254 89.160378 \nL 269.53027 94.19204 \nL 260.954971 99.491584 \nL 252.57213 104.867887 \nL 236.918315 115.323478 \nL 223.286277 124.912869 \nL 217.316331 129.318256 \nL 211.909961 133.466917 \nL 207.046137 137.372837 \nL 202.692739 141.054099 \nL 198.810306 144.529997 \nL 195.35506 147.819171 \nL 192.281261 150.938586 \nL 189.542968 153.903012 \nL 184.895311 159.414266 \nL 181.07922 164.425745 \nL 173.384033 174.984254 \nL 170.479549 178.425421 \nL 168.978964 179.967467 \nL 167.422696 181.383261 \nL 165.794718 182.665731 \nL 164.080042 183.806364 \nL 162.264578 184.795066 \nL 160.33504 185.62001 \nL 158.278886 186.267495 \nL 156.084321 186.721776 \nL 153.740346 186.96492 \nL 151.236885 186.976677 \nL 148.564976 186.734389 \nL 145.717058 186.212975 \nL 142.687346 185.385043 \nL 139.472326 184.221084 \nL 136.071363 182.689938 \nL 132.487453 180.759504 \nL 128.728085 178.397762 \nL 124.806282 175.574274 \nL 120.741696 172.262142 \nL 116.561843 168.440559 \nL 112.303351 164.097939 \nL 108.013122 159.235626 \nL 103.749342 153.872014 \nL 99.582127 148.046877 \nL 95.59357 141.825448 \nL 91.877056 135.301619 \nL 88.535457 128.599612 \nL 85.678138 121.873124 \nL 83.416538 115.301283 \nL 81.858446 109.080796 \nL 81.101135 103.414432 \nL 81.223906 98.496298 \nL 82.280766 94.495698 \nL 84.294192 91.541677 \nL 87.25093 89.71082 \nL 91.100593 89.020494 \nL 95.757535 89.429014 \nL 101.105978 90.842633 \nL 107.007737 93.128044 \nL 113.311552 96.127998 \nL 119.862871 99.677365 \nL 126.512877 103.617083 \nL 133.125859 107.804525 \nL 139.584463 112.119744 \nL 145.792641 116.467793 \nL 151.676553 120.777969 \nL 157.183813 125.001119 \nL 162.28158 129.105878 \nL 166.953917 133.074675 \nL 171.198897 136.900035 \nL 175.025674 140.581408 \nL 178.451763 144.122641 \nL 181.500622 147.530104 \nL 184.199617 150.81135 \nL 186.578332 153.974247 \nL 188.667246 157.026399 \nL 190.496713 159.974855 \nL 192.096208 162.825985 \nL 193.493808 165.585414 \nL 195.786722 170.848275 \nL 197.562453 175.795823 \nL 198.976213 180.452788 \nL 200.686861 186.934273 \nL 203.193427 196.503148 \nL 204.273189 199.924594 \nL 205.480528 203.120176 \nL 206.867792 206.088519 \nL 208.489361 208.822628 \nL 210.404645 211.307863 \nL 211.493057 212.449794 \nL 212.680861 213.519017 \nL 213.978111 214.510038 \nL 215.395661 215.416086 \nL 216.945248 216.228875 \nL 218.639542 216.938322 \nL 220.492197 217.532225 \nL 222.517889 217.995873 \nL 224.732323 218.311614 \nL 227.152206 218.458336 \nL 229.79518 218.410906 \nL 232.679678 218.139525 \nL 235.824722 217.609065 \nL 239.24957 216.778336 \nL 242.973252 215.599397 \nL 247.013877 214.016942 \nL 251.387736 211.967846 \nL 256.108068 209.381072 \nL 261.183461 206.178066 \nL 266.615823 202.274013 \nL 272.397801 197.580253 \nL 278.50968 192.008313 \nL 284.915668 185.476084 \nL 291.559687 177.916612 \nL 298.360823 169.289856 \nL 305.208799 159.597495 \nL 311.959997 148.900207 \nL 318.43496 137.335828 \nL 324.418446 125.1356 \nL 329.66337 112.634256 \nL 333.900016 100.26855 \nL 336.85139 88.558678 \nL 338.254952 78.069194 \nL 337.889114 69.350045 \nL 335.601529 62.864963 \nL 331.334295 58.92117 \nL 325.140383 57.618081 \nL 317.186637 58.830437 \nL 307.741095 62.23254 \nL 297.146305 67.357674 \nL 285.783666 73.676173 \nL 274.036045 80.671314 \nL 229.367987 108.036136 \nL 211.008543 118.901746 \nL 170.369762 142.586606 \nL 153.721187 152.694705 \nL 149.745025 154.743848 \nL 147.888663 155.540363 \nL 146.086442 156.184116 \nL 144.317867 156.673119 \nL 142.565941 157.004555 \nL 140.816941 157.175052 \nL 139.060214 157.180875 \nL 137.288022 157.01823 \nL 135.495419 156.683488 \nL 133.68016 156.173506 \nL 131.842633 155.485903 \nL 129.985814 154.61942 \nL 128.115246 153.574298 \nL 126.239001 152.352668 \nL 124.367664 150.958957 \nL 122.514269 149.400316 \nL 120.694201 147.687011 \nL 118.925075 145.832786 \nL 117.226515 143.855144 \nL 115.61987 141.775534 \nL 114.127832 139.619389 \nL 112.773964 137.415951 \nL 111.582114 135.197947 \nL 110.575732 133.000991 \nL 109.777112 130.862743 \nL 109.206563 128.821871 \nL 108.881577 126.916826 \nL 108.816011 125.184485 \nL 109.019329 123.658752 \nL 109.495977 122.369226 \nL 110.244933 121.340039 \nL 111.259479 120.588951 \nL 112.527206 120.126749 \nL 114.030262 119.957058 \nL 115.745882 120.076528 \nL 117.647077 120.475389 \nL 119.703554 121.138288 \nL 121.882711 122.045333 \nL 124.150672 123.173285 \nL 126.473334 124.496728 \nL 128.817323 125.989187 \nL 131.15082 127.624123 \nL 133.444263 129.375722 \nL 135.670843 131.219517 \nL 139.831868 135.09479 \nL 141.728767 137.086878 \nL 143.483645 139.092409 \nL 145.085614 141.096683 \nL 146.526547 143.086707 \nL 147.800756 145.051017 \nL 148.904674 146.979431 \nL 149.836492 148.862821 \nL 150.59585 150.69289 \nL 151.183508 152.461974 \nL 151.601072 154.162862 \nL 151.850733 155.788603 \nL 151.935067 157.33237 \nL 151.85685 158.78734 \nL 151.618915 160.14655 \nL 151.224056 161.402817 \nL 150.674956 162.548623 \nL 149.974165 163.576054 \nL 149.124089 164.476729 \nL 148.127028 165.241741 \nL 146.985245 165.861628 \nL 145.701045 166.326372 \nL 144.276927 166.625407 \nL 142.715716 166.74766 \nL 141.02077 166.681657 \nL 139.19619 166.415649 \nL 137.247078 165.937838 \nL 135.179818 165.236637 \nL 133.002381 164.301052 \nL 130.724666 163.121132 \nL 128.358854 161.688562 \nL 125.919745 159.997333 \nL 123.425113 158.044549 \nL 120.896029 155.831323 \nL 118.357106 153.363753 \nL 115.836687 150.653912 \nL 113.366869 147.720826 \nL 110.983412 144.591359 \nL 108.725388 141.300814 \nL 106.634624 137.893274 \nL 104.754842 134.421401 \nL 103.130514 130.945734 \nL 101.805446 127.533262 \nL 100.821069 124.255339 \nL 100.21459 121.184922 \nL 100.017054 118.39333 \nL 100.251463 115.946688 \nL 100.251463 115.946688 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9b8cd4cf53\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:19:19.034922</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mfb54e91fb3\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"37.22298\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(26.670636 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"77.084376\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −15 -->\n      <g transform=\"translate(66.532032 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"116.945772\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −10 -->\n      <g transform=\"translate(106.393428 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"156.807168\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −5 -->\n      <g transform=\"translate(149.436075 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"196.668564\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0 -->\n      <g transform=\"translate(193.487314 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"236.52996\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5 -->\n      <g transform=\"translate(233.34871 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"276.391357\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(270.028857 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.252753\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 15 -->\n      <g transform=\"translate(309.890253 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"356.114149\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(349.751649 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m55002cadb0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m55002cadb0\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m55002cadb0\" y=\"216.316656\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.115875)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m55002cadb0\" y=\"171.417312\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.216531)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m55002cadb0\" y=\"126.517968\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 130.317187)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m55002cadb0\" y=\"81.618624\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 85.417842)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m55002cadb0\" y=\"36.71928\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 40.518498)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p23cf597c28)\" d=\"M 204.640844 261.216 \nL 203.064417 261.158594 \nL 203.201271 261.12509 \nL 207.016872 260.68781 \nL 210.843996 260.146634 \nL 214.283449 259.529246 \nL 218.604586 258.570614 \nL 224.000947 257.082607 \nL 227.174466 256.05527 \nL 230.708588 254.777544 \nL 234.639082 253.19012 \nL 239.00364 251.220669 \nL 243.841159 248.781557 \nL 249.190634 245.767486 \nL 255.089484 242.053293 \nL 261.571124 237.492305 \nL 268.661551 231.915855 \nL 276.374653 225.134942 \nL 284.705929 216.945347 \nL 293.624388 207.138105 \nL 303.062358 195.51749 \nL 312.903353 181.929052 \nL 322.968529 166.299594 \nL 333.003012 148.689331 \nL 342.664607 129.35296 \nL 351.518739 108.800005 \nL 359.044739 87.836936 \nL 364.659706 67.565518 \nL 367.764405 49.309436 \nL 367.812273 34.451978 \nL 364.394667 24.195544 \nL 357.32603 19.296 \nL 346.705291 19.859879 \nL 332.92981 25.29249 \nL 316.650235 34.433 \nL 298.674569 45.831066 \nL 279.84871 58.057584 \nL 260.947225 69.942249 \nL 242.599637 80.683775 \nL 225.260404 89.843639 \nL 209.21542 97.270861 \nL 194.610631 103.007095 \nL 181.488681 107.203375 \nL 169.823949 110.060641 \nL 159.551186 111.793335 \nL 150.586458 112.610243 \nL 142.841021 112.706329 \nL 136.229546 112.260494 \nL 130.674152 111.43581 \nL 126.105504 110.380416 \nL 122.462053 109.228113 \nL 119.688144 108.098128 \nL 117.731591 107.094339 \nL 116.541188 106.3041 \nL 116.06446 105.796981 \nL 116.24595 105.623923 \nL 117.026097 105.817055 \nL 118.3409 106.390286 \nL 120.122242 107.340893 \nL 122.29887 108.651833 \nL 127.546014 112.232696 \nL 133.509162 116.82615 \nL 139.66985 122.08977 \nL 145.605708 127.714512 \nL 148.388816 130.583836 \nL 151.009704 133.458522 \nL 153.447588 136.31954 \nL 155.687716 139.151612 \nL 157.720595 141.942646 \nL 159.541181 144.683187 \nL 161.148085 147.365862 \nL 162.542806 149.984899 \nL 163.729008 152.535699 \nL 164.711899 155.01452 \nL 165.497669 157.418159 \nL 166.093014 159.74372 \nL 166.504751 161.988448 \nL 166.739492 164.149541 \nL 166.803395 166.224018 \nL 166.701969 168.208635 \nL 166.439933 170.099726 \nL 166.021119 171.893146 \nL 165.448409 173.584142 \nL 164.723714 175.167251 \nL 163.847971 176.636194 \nL 162.821173 177.983762 \nL 161.642406 179.201682 \nL 160.309938 180.280481 \nL 158.821302 181.209361 \nL 157.173418 181.97605 \nL 155.362747 182.566666 \nL 153.385465 182.96558 \nL 151.237686 183.155312 \nL 148.915739 183.116466 \nL 146.416483 182.82771 \nL 143.737706 182.2658 \nL 140.87858 181.405799 \nL 137.840221 180.221364 \nL 134.626329 178.685272 \nL 131.243925 176.770185 \nL 127.704209 174.449753 \nL 124.023457 171.700048 \nL 120.224061 168.501451 \nL 116.335521 164.840962 \nL 112.395478 160.715 \nL 108.450577 156.132533 \nL 104.557163 151.11849 \nL 100.781534 145.717086 \nL 97.199712 139.994785 \nL 93.896455 134.042347 \nL 90.963355 127.975299 \nL 88.49596 121.932341 \nL 86.589739 116.071074 \nL 85.335098 110.560788 \nL 84.811673 105.572557 \nL 85.08227 101.267294 \nL 86.187162 97.783014 \nL 88.139434 95.22312 \nL 90.92201 93.647504 \nL 94.48703 93.067953 \nL 98.75774 93.448823 \nL 103.632871 94.712747 \nL 108.992949 96.750417 \nL 114.707841 99.432639 \nL 120.644581 102.622766 \nL 126.674631 106.18758 \nL 132.679919 110.005696 \nL 138.557195 113.97284 \nL 144.220669 118.004222 \nL 149.602978 122.034473 \nL 154.654832 126.015954 \nL 159.343648 129.916086 \nL 163.651564 133.714402 \nL 167.573116 137.399607 \nL 171.112875 140.967032 \nL 174.283147 144.416508 \nL 177.101917 147.750722 \nL 179.591049 150.974 \nL 181.774781 154.091446 \nL 183.6785 157.108395 \nL 185.327781 160.030045 \nL 186.747659 162.861278 \nL 187.962094 165.606555 \nL 188.993604 168.269901 \nL 189.863032 170.854931 \nL 191.189938 175.802604 \nL 192.073021 180.471678 \nL 192.614248 184.880367 \nL 192.890312 189.04412 \nL 192.956354 192.97641 \nL 192.849652 196.689169 \nL 192.59287 200.192995 \nL 192.196684 203.497167 \nL 191.661706 206.60956 \nL 190.979773 209.536353 \nL 190.134611 212.28163 \nL 189.101969 214.84671 \nL 187.849246 217.229213 \nL 186.334676 219.421598 \nL 184.506075 221.409106 \nL 183.454462 222.318721 \nL 182.299209 223.166712 \nL 181.030078 223.947617 \nL 179.635821 224.65468 \nL 178.104105 225.279594 \nL 176.421439 225.812185 \nL 174.573124 226.240058 \nL 172.543189 226.548154 \nL 170.31437 226.718256 \nL 167.868105 226.728391 \nL 165.184575 226.552155 \nL 162.242808 226.157947 \nL 159.020876 225.508114 \nL 155.496198 224.558032 \nL 151.646007 223.255159 \nL 147.448026 221.538125 \nL 142.881423 219.335947 \nL 137.928096 216.567577 \nL 132.574428 213.141974 \nL 126.813545 208.959045 \nL 120.648253 203.911963 \nL 114.094686 197.891361 \nL 107.186699 190.792169 \nL 99.981087 182.523778 \nL 92.563314 173.024211 \nL 85.053515 162.27854 \nL 77.611983 150.34119 \nL 70.443154 137.360239 \nL 63.79658 123.600232 \nL 57.963028 109.457711 \nL 53.263868 95.461812 \nL 50.032094 82.251699 \nL 48.584825 70.525192 \nL 49.188774 60.959143 \nL 52.023278 54.111798 \nL 57.147611 50.328177 \nL 64.480512 49.674548 \nL 73.798697 51.924311 \nL 84.75684 56.602737 \nL 96.925838 63.078102 \nL 109.841234 70.671788 \nL 148.82843 94.507574 \nL 160.830125 101.583386 \nL 172.001746 107.941512 \nL 182.255852 113.55655 \nL 191.562106 118.457456 \nL 199.932748 122.7035 \nL 214.052931 129.522448 \nL 225.127592 134.580749 \nL 237.323413 139.841098 \nL 243.297737 142.234871 \nL 248.062823 143.957168 \nL 251.956575 145.120552 \nL 255.233701 145.797158 \nL 258.078131 146.035482 \nL 260.615287 145.872203 \nL 262.922975 145.340704 \nL 265.040726 144.477286 \nL 266.977815 143.325736 \nL 268.720345 141.940359 \nL 270.237842 140.38749 \nL 271.489813 138.745136 \nL 272.432299 137.100625 \nL 273.024493 135.546222 \nL 273.235057 134.173066 \nL 273.047659 133.06413 \nL 272.804775 132.630704 \nL 272.465083 132.28725 \nL 272.032269 132.038958 \nL 271.51136 131.889467 \nL 270.231546 131.893569 \nL 268.689134 132.29745 \nL 266.961514 133.076128 \nL 265.134219 134.185937 \nL 263.294821 135.56979 \nL 261.527285 137.162576 \nL 259.907509 138.895895 \nL 258.500236 140.701689 \nL 257.357484 142.514558 \nL 256.518236 144.273012 \nL 256.009001 145.919887 \nL 255.844918 147.402207 \nL 256.030993 148.670927 \nL 256.563158 149.680685 \nL 256.955463 150.075282 \nL 257.429005 150.38985 \nL 258.608019 150.761128 \nL 260.071307 150.762713 \nL 261.780912 150.370222 \nL 263.688844 149.56944 \nL 265.736077 148.359759 \nL 267.851843 146.758144 \nL 269.953704 144.80309 \nL 271.948842 142.557874 \nL 273.737073 140.112033 \nL 275.215878 137.579988 \nL 276.287508 135.095883 \nL 276.867682 132.804294 \nL 276.953124 131.775619 \nL 276.894923 130.847424 \nL 276.690358 130.03473 \nL 276.339048 129.350605 \nL 275.843092 128.80584 \nL 275.207051 128.408648 \nL 274.437936 128.1645 \nL 273.545045 128.076036 \nL 272.539789 128.143108 \nL 271.435399 128.362899 \nL 270.246631 128.730161 \nL 267.680336 129.875647 \nL 264.975204 131.500693 \nL 262.266194 133.508972 \nL 259.678782 135.797349 \nL 257.321644 138.264121 \nL 255.282633 140.814227 \nL 253.627739 143.361619 \nL 252.402416 145.829478 \nL 251.634248 148.149037 \nL 251.336234 150.257847 \nL 251.364388 151.214954 \nL 251.509909 152.097863 \nL 251.771606 152.899732 \nL 252.147839 153.613848 \nL 252.636538 154.233564 \nL 253.23521 154.75232 \nL 253.940932 155.16366 \nL 254.750324 155.461254 \nL 255.659501 155.638955 \nL 256.664019 155.690843 \nL 257.758795 155.611362 \nL 258.938029 155.395407 \nL 260.195106 155.038499 \nL 261.522495 154.536964 \nL 262.911654 153.888114 \nL 265.835372 152.144219 \nL 268.873856 149.815018 \nL 271.913382 146.941848 \nL 274.818898 143.607822 \nL 277.437265 139.944035 \nL 278.587729 138.042916 \nL 279.604823 136.13033 \nL 280.468488 134.235162 \nL 281.159803 132.387867 \nL 281.661583 130.619668 \nL 281.959025 128.961677 \nL 282.040278 127.443868 \nL 281.897016 126.094082 \nL 281.524874 124.937026 \nL 280.923837 123.993373 \nL 280.098384 123.279061 \nL 279.057539 122.804794 \nL 277.814699 122.575796 \nL 276.387297 122.591861 \nL 274.796309 122.847621 \nL 273.065595 123.333073 \nL 271.221208 124.034274 \nL 269.290597 124.934131 \nL 267.3018 126.013273 \nL 265.282713 127.250872 \nL 261.26052 130.11547 \nL 257.420813 133.359181 \nL 253.925566 136.82766 \nL 250.896514 140.388346 \nL 248.416071 143.931502 \nL 247.397841 145.667758 \nL 246.532651 147.367224 \nL 245.822463 149.020967 \nL 245.26807 150.620689 \nL 244.869322 152.158555 \nL 244.625339 153.627053 \nL 244.534693 155.018879 \nL 244.595562 156.326796 \nL 244.805849 157.543551 \nL 245.163283 158.661795 \nL 245.665469 159.673985 \nL 246.309938 160.572343 \nL 247.094137 161.348795 \nL 248.015407 161.994956 \nL 249.070926 162.502126 \nL 250.257629 162.861286 \nL 251.572105 163.063154 \nL 253.010444 163.098274 \nL 254.568096 162.957124 \nL 256.239667 162.630284 \nL 258.018714 162.108676 \nL 259.897515 161.383813 \nL 261.866818 160.448184 \nL 263.915602 159.295693 \nL 266.030791 157.922142 \nL 268.197033 156.325811 \nL 270.39647 154.50813 \nL 272.60855 152.474331 \nL 274.809926 150.234193 \nL 276.97442 147.802697 \nL 279.073125 145.200633 \nL 281.074642 142.455065 \nL 282.945479 139.599579 \nL 284.650655 136.674187 \nL 286.15449 133.724927 \nL 287.421629 130.802969 \nL 288.418187 127.963292 \nL 289.113082 125.262915 \nL 289.47943 122.758737 \nL 289.495921 120.505112 \nL 289.148086 118.551376 \nL 288.429371 116.939433 \nL 287.341874 115.701765 \nL 285.896681 114.85992 \nL 284.11378 114.423728 \nL 282.021446 114.391271 \nL 279.655268 114.749651 \nL 277.056729 115.476399 \nL 274.271576 116.541299 \nL 271.348048 117.908615 \nL 268.335072 119.53927 \nL 265.280614 121.392928 \nL 262.230201 123.429802 \nL 259.225755 125.612039 \nL 256.304745 127.90475 \nL 253.49963 130.276616 \nL 250.837625 132.700132 \nL 248.340718 135.151608 \nL 246.02591 137.610954 \nL 243.905594 140.061335 \nL 241.988059 142.488721 \nL 240.278051 144.881475 \nL 238.777357 147.229902 \nL 237.485363 149.525841 \nL 236.399627 151.762313 \nL 235.516349 153.933186 \nL 234.830836 156.03291 \nL 234.337879 158.056287 \nL 234.032073 159.998273 \nL 233.908096 161.853798 \nL 233.960906 163.61763 \nL 234.185915 165.284236 \nL 234.579087 166.847665 \nL 235.137019 168.301425 \nL 235.856977 169.63839 \nL 236.73689 170.850692 \nL 237.775314 171.92962 \nL 238.971369 172.865531 \nL 240.32465 173.647755 \nL 241.835092 174.264533 \nL 243.502808 174.702961 \nL 245.32791 174.948932 \nL 247.310248 174.987178 \nL 249.449161 174.801317 \nL 251.743141 174.37398 \nL 254.18945 173.687029 \nL 256.783704 172.721915 \nL 259.519386 171.460114 \nL 262.387301 169.883831 \nL 265.374997 167.976811 \nL 268.466147 165.725438 \nL 271.639896 163.120052 \nL 274.870248 160.156516 \nL 278.125492 156.837991 \nL 281.367759 153.176842 \nL 284.552744 149.196629 \nL 287.62973 144.933937 \nL 290.541944 140.439883 \nL 293.227377 135.780984 \nL 295.620165 131.03916 \nL 297.652542 126.310465 \nL 299.257397 121.702435 \nL 300.37136 117.329894 \nL 300.938282 113.309328 \nL 300.91285 109.752188 \nL 300.264044 106.757728 \nL 298.978042 104.406123 \nL 297.060271 102.752885 \nL 294.536219 101.825161 \nL 291.450855 101.620622 \nL 287.866691 102.109054 \nL 283.860563 103.236384 \nL 279.51951 104.930455 \nL 274.936158 107.107682 \nL 270.204062 109.679857 \nL 265.413461 112.55999 \nL 260.647737 115.667065 \nL 255.980779 118.929163 \nL 251.475323 122.285129 \nL 247.182214 125.685003 \nL 243.14044 129.089501 \nL 239.377793 132.46889 \nL 235.911946 135.801503 \nL 232.751796 139.072259 \nL 229.898908 142.271164 \nL 227.348963 145.392061 \nL 225.093135 148.431516 \nL 223.119323 151.388004 \nL 221.413239 154.261216 \nL 219.959321 157.051599 \nL 218.741504 159.759966 \nL 217.743817 162.387284 \nL 216.950861 164.934496 \nL 216.348163 167.402407 \nL 215.922436 169.791607 \nL 215.661753 172.102421 \nL 215.555663 174.334877 \nL 215.595242 176.488656 \nL 215.773123 178.563057 \nL 216.083482 180.556957 \nL 216.522013 182.468772 \nL 217.085884 184.296388 \nL 217.773689 186.037072 \nL 218.585396 187.687398 \nL 219.522284 189.243162 \nL 220.58689 190.699234 \nL 221.782953 192.049427 \nL 223.115349 193.286341 \nL 224.590028 194.401172 \nL 226.213952 195.383517 \nL 227.995 196.221119 \nL 229.94188 196.89963 \nL 232.064002 197.402329 \nL 234.371321 197.709815 \nL 236.874127 197.799719 \nL 239.582795 197.6464 \nL 242.507433 197.22069 \nL 245.657452 196.489682 \nL 249.041019 195.416642 \nL 252.664353 193.961088 \nL 256.53086 192.07913 \nL 260.640081 189.724165 \nL 264.98641 186.84807 \nL 269.55759 183.403031 \nL 274.33297 179.34421 \nL 279.281591 174.633353 \nL 284.360085 169.243493 \nL 289.510625 163.164824 \nL 294.658991 156.411527 \nL 299.713111 149.029265 \nL 304.562422 141.102658 \nL 309.078434 132.761534 \nL 313.117095 124.184639 \nL 316.523251 115.59893 \nL 319.137619 107.272793 \nL 320.806263 99.502023 \nL 321.392063 92.588462 \nL 320.787294 86.812954 \nL 318.92574 82.406174 \nL 315.792485 79.522223 \nL 311.42955 78.22048 \nL 305.935888 78.459909 \nL 299.461369 80.107409 \nL 292.19526 82.95851 \nL 284.351083 86.765647 \nL 276.150023 91.268221 \nL 267.805405 96.218806 \nL 259.510106 101.401918 \nL 251.427926 106.644137 \nL 243.689149 111.816543 \nL 236.389781 116.831391 \nL 229.593561 121.635483 \nL 223.335776 126.202381 \nL 217.627971 130.52478 \nL 212.462846 134.607991 \nL 207.818895 138.464764 \nL 203.66451 142.111508 \nL 199.961429 145.565719 \nL 196.667518 148.844329 \nL 193.738942 151.962776 \nL 191.131778 154.934551 \nL 186.712212 160.481609 \nL 183.091405 165.553039 \nL 174.467024 178.208358 \nL 171.680979 181.574567 \nL 170.217416 183.084643 \nL 168.68557 184.471673 \nL 167.070654 185.728224 \nL 165.358616 186.845381 \nL 163.536018 187.812602 \nL 161.589961 188.617511 \nL 159.508043 189.24574 \nL 157.278377 189.680703 \nL 154.88966 189.903445 \nL 152.331322 189.892436 \nL 149.593721 189.623453 \nL 146.668472 189.069512 \nL 143.548841 188.200905 \nL 140.230291 186.985392 \nL 136.711129 185.38859 \nL 132.993324 183.374676 \nL 129.083484 180.907459 \nL 124.993959 177.951896 \nL 120.744142 174.476224 \nL 116.361827 170.454724 \nL 111.884666 165.871212 \nL 107.36159 160.723213 \nL 102.854017 155.026732 \nL 98.436728 148.821309 \nL 94.198133 142.174932 \nL 90.239637 135.188064 \nL 86.673812 127.995921 \nL 83.621156 120.767886 \nL 81.205187 113.703181 \nL 79.545933 107.021975 \nL 78.75207 100.951852 \nL 78.912294 95.710661 \nL 80.086784 91.487268 \nL 82.299937 88.423287 \nL 85.535505 86.598857 \nL 89.735105 86.025078 \nL 94.800667 86.645067 \nL 100.600637 88.343146 \nL 106.979252 90.960573 \nL 113.767576 94.314493 \nL 120.7948 98.216912 \nL 127.898472 102.490591 \nL 134.932554 106.980269 \nL 141.772916 111.558753 \nL 148.320089 116.128435 \nL 154.499716 120.619397 \nL 160.261188 124.985557 \nL 165.575082 129.199881 \nL 170.429964 133.249589 \nL 174.828973 137.131909 \nL 178.786516 140.850572 \nL 182.32528 144.413134 \nL 185.473632 147.829048 \nL 188.263468 151.108342 \nL 190.72849 154.260805 \nL 192.902865 157.295507 \nL 194.820229 160.220565 \nL 196.512975 163.043071 \nL 199.345297 168.40396 \nL 201.620368 173.416659 \nL 204.386763 180.339443 \nL 207.609878 188.53427 \nL 209.269703 192.20072 \nL 211.081855 195.575279 \nL 213.127596 198.644283 \nL 214.263025 200.057014 \nL 215.487037 201.383056 \nL 216.81014 202.616994 \nL 218.243242 203.752187 \nL 219.797736 204.780549 \nL 221.485568 205.692327 \nL 223.319287 206.475818 \nL 225.312074 207.11706 \nL 227.477734 207.599471 \nL 229.830656 207.903463 \nL 232.385717 208.006002 \nL 235.158128 207.880156 \nL 238.163205 207.494611 \nL 241.416013 206.813214 \nL 244.930902 205.794563 \nL 248.720863 204.391719 \nL 252.79669 202.552123 \nL 257.165905 200.217822 \nL 261.831365 197.326205 \nL 266.789573 193.811426 \nL 272.028597 189.606775 \nL 277.525642 184.648286 \nL 283.244222 178.879903 \nL 289.131124 172.260399 \nL 295.113222 164.772254 \nL 301.094492 156.432286 \nL 306.953666 147.303483 \nL 312.543133 137.506826 \nL 317.689765 127.231167 \nL 322.198616 116.738405 \nL 325.86017 106.360792 \nL 328.461643 96.48725 \nL 329.802334 87.536909 \nL 329.711874 79.920682 \nL 328.069544 73.994964 \nL 324.821606 70.015539 \nL 319.99334 68.101668 \nL 313.692753 68.219472 \nL 306.104438 70.189899 \nL 297.473903 73.719567 \nL 288.085025 78.446977 \nL 278.234587 83.992683 \nL 268.208217 90.00267 \nL 248.605788 102.289922 \nL 230.776456 113.747199 \nL 215.476361 123.766122 \nL 202.86707 132.315742 \nL 192.738973 139.600958 \nL 184.701322 145.864975 \nL 178.308411 151.307794 \nL 173.130211 156.067174 \nL 164.951824 163.816475 \nL 161.365883 166.845481 \nL 159.597785 168.141923 \nL 157.815853 169.286218 \nL 156.000517 170.2715 \nL 154.134557 171.089547 \nL 152.202958 171.730784 \nL 150.192781 172.184343 \nL 148.093122 172.4381 \nL 145.895095 172.478769 \nL 143.591908 172.292008 \nL 141.178969 171.862642 \nL 138.65408 171.174903 \nL 136.017689 170.212829 \nL 133.273219 168.9608 \nL 130.427428 167.404188 \nL 127.490862 165.530216 \nL 124.478296 163.329019 \nL 121.409218 160.794884 \nL 118.308268 157.927692 \nL 115.205645 154.734516 \nL 112.13735 151.231285 \nL 109.145289 147.444427 \nL 106.277073 143.412351 \nL 103.585497 139.186492 \nL 101.127628 134.831799 \nL 98.963362 130.426321 \nL 97.153547 126.059724 \nL 95.757552 121.83061 \nL 94.830493 117.842527 \nL 94.420139 114.198909 \nL 94.56382 110.997238 \nL 95.285561 108.323015 \nL 96.593703 106.244101 \nL 98.479419 104.806279 \nL 100.916243 104.030512 \nL 103.860762 103.912365 \nL 107.254525 104.423594 \nL 111.026907 105.51571 \nL 115.09874 107.124861 \nL 119.386268 109.177535 \nL 123.805161 111.596092 \nL 128.274119 114.303782 \nL 132.717903 117.228652 \nL 137.069597 120.306267 \nL 141.272044 123.481185 \nL 145.278533 126.707435 \nL 149.05279 129.948192 \nL 152.568458 133.174912 \nL 155.808212 136.366162 \nL 158.762596 139.506387 \nL 161.428805 142.584688 \nL 163.809416 145.593715 \nL 165.911178 148.528733 \nL 167.743915 151.386873 \nL 169.31955 154.166509 \nL 170.651269 156.866825 \nL 171.75282 159.487438 \nL 172.637947 162.028176 \nL 173.319939 164.488892 \nL 173.811294 166.869332 \nL 174.123454 169.16903 \nL 174.266635 171.387253 \nL 174.249703 173.522919 \nL 174.08011 175.57454 \nL 173.763853 177.540162 \nL 173.305486 179.417311 \nL 172.708126 181.202904 \nL 171.973496 182.893155 \nL 171.10197 184.483483 \nL 170.092632 185.968398 \nL 168.943333 187.341366 \nL 167.650767 188.594663 \nL 166.210552 189.719189 \nL 164.617314 190.7043 \nL 162.864798 191.537585 \nL 160.945994 192.204655 \nL 158.853284 192.688895 \nL 156.578635 192.971242 \nL 154.113832 193.029938 \nL 151.450778 192.84033 \nL 148.581855 192.374704 \nL 145.500388 191.602226 \nL 142.201213 190.488982 \nL 138.681386 188.998235 \nL 134.941019 187.090924 \nL 130.984307 184.72656 \nL 126.820714 181.864566 \nL 122.466356 178.466216 \nL 117.945523 174.497299 \nL 113.292338 169.9316 \nL 108.552441 164.755212 \nL 103.784619 158.971705 \nL 99.06211 152.607876 \nL 94.47342 145.719706 \nL 90.122316 138.397837 \nL 86.126604 130.771625 \nL 82.615399 123.010498 \nL 79.724541 115.32141 \nL 77.590064 107.94122 \nL 76.339856 101.123386 \nL 76.083971 95.119582 \nL 76.904543 90.157659 \nL 78.846506 86.419118 \nL 81.910559 84.019864 \nL 86.049769 82.997921 \nL 91.170589 83.311033 \nL 97.138622 84.844548 \nL 103.788306 87.428148 \nL 110.935299 90.857875 \nL 118.389734 94.919153 \nL 125.968522 99.406827 \nL 133.505433 104.139838 \nL 140.858105 108.969536 \nL 147.911799 113.78214 \nL 154.580307 118.496884 \nL 160.804617 123.061418 \nL 166.550045 127.446034 \nL 171.802577 131.637869 \nL 176.564914 135.635689 \nL 180.852654 139.445669 \nL 184.690819 143.078163 \nL 188.110884 146.545418 \nL 191.148306 149.860038 \nL 193.840569 153.034048 \nL 196.225678 156.078367 \nL 198.341042 159.002577 \nL 201.904768 164.522129 \nL 204.795531 169.643015 \nL 208.35672 176.644887 \nL 211.524555 182.875933 \nL 213.65688 186.603983 \nL 215.94337 189.977283 \nL 217.17735 191.523357 \nL 218.488455 192.969859 \nL 219.888876 194.311038 \nL 221.39073 195.539867 \nL 223.006178 196.64787 \nL 224.74751 197.624892 \nL 226.627205 198.458871 \nL 228.657957 199.135567 \nL 230.852657 199.638262 \nL 233.224346 199.947452 \nL 235.786083 200.040502 \nL 238.550766 199.891324 \nL 241.530855 199.470063 \nL 244.737992 198.742845 \nL 248.182486 197.671612 \nL 251.87265 196.214135 \nL 255.813955 194.324282 \nL 260.007967 191.952629 \nL 264.45104 189.047597 \nL 269.132767 185.557264 \nL 274.034158 181.431987 \nL 279.12557 176.628144 \nL 284.364487 171.113055 \nL 289.693195 164.871141 \nL 295.03663 157.911352 \nL 300.300599 150.275386 \nL 305.370844 142.046089 \nL 310.113379 133.354848 \nL 314.376616 124.386326 \nL 317.995906 115.378616 \nL 320.800774 106.616732 \nL 322.624982 98.418025 \nL 323.318957 91.109173 \nL 322.76366 84.99642 \nL 320.884079 80.332861 \nL 317.660387 77.288491 \nL 313.134514 75.929217 \nL 307.41052 76.210043 \nL 300.64813 77.984186 \nL 293.050122 81.026329 \nL 284.845542 85.064691 \nL 276.271351 89.814761 \nL 267.555351 95.008577 \nL 258.902402 100.415223 \nL 250.48522 105.851396 \nL 234.865065 116.322303 \nL 221.354072 125.84424 \nL 215.46083 130.200783 \nL 210.13488 134.295974 \nL 205.351128 138.146299 \nL 201.074317 141.771377 \nL 197.262659 145.19135 \nL 193.870737 148.425221 \nL 190.851723 151.489974 \nL 185.747442 157.167999 \nL 181.598177 162.313104 \nL 171.99799 174.94751 \nL 169.003989 178.236174 \nL 167.448333 179.693539 \nL 165.830497 181.017933 \nL 164.134747 182.201383 \nL 162.346414 183.234374 \nL 160.451783 184.105748 \nL 158.43801 184.802547 \nL 156.293106 185.309879 \nL 154.005961 185.610771 \nL 151.566449 185.686064 \nL 148.965591 185.514333 \nL 146.195807 185.071881 \nL 143.25125 184.332801 \nL 140.128267 183.269229 \nL 136.825949 181.851703 \nL 133.346816 180.049839 \nL 129.69762 177.833278 \nL 125.890295 175.173031 \nL 121.942976 172.043288 \nL 117.881141 168.423708 \nL 113.738776 164.302303 \nL 109.559468 159.678806 \nL 105.39735 154.568505 \nL 101.317778 149.006203 \nL 97.397427 143.050074 \nL 93.723754 136.784815 \nL 90.393498 130.323418 \nL 87.510054 123.806861 \nL 85.179565 117.400906 \nL 83.505796 111.289522 \nL 82.583907 105.664841 \nL 82.493554 100.714068 \nL 83.291978 96.604729 \nL 85.00792 93.469958 \nL 87.63716 91.396337 \nL 91.14055 90.416202 \nL 95.445002 90.506054 \nL 100.44749 91.591285 \nL 106.021629 93.556488 \nL 112.026111 96.259211 \nL 118.31375 99.544877 \nL 124.740233 103.260432 \nL 131.171553 107.26512 \nL 137.489561 111.437558 \nL 143.59544 115.679071 \nL 149.411189 119.913991 \nL 154.879431 124.087756 \nL 159.961978 128.163764 \nL 164.637595 132.119767 \nL 168.899355 135.944323 \nL 172.751879 139.633672 \nL 176.208702 143.189177 \nL 179.289888 146.615325 \nL 182.019959 149.918298 \nL 184.426171 153.105 \nL 186.537127 156.182375 \nL 188.381684 159.157044 \nL 189.98814 162.035087 \nL 191.383641 164.821993 \nL 192.593786 167.522626 \nL 194.551264 172.681742 \nL 196.027655 177.541104 \nL 197.159504 182.123374 \nL 198.443053 188.516792 \nL 201.094111 203.073526 \nL 202.24672 207.695074 \nL 203.161689 210.540313 \nL 204.236299 213.199476 \nL 205.511208 215.670679 \nL 207.033205 217.946956 \nL 208.857311 220.014227 \nL 209.902646 220.962448 \nL 211.049007 221.848372 \nL 212.306597 222.666714 \nL 213.686573 223.410923 \nL 215.201116 224.072936 \nL 216.863515 224.642892 \nL 218.688217 225.108766 \nL 220.690893 225.45596 \nL 222.888463 225.66682 \nL 225.299109 225.720062 \nL 227.942227 225.590126 \nL 230.838341 225.246435 \nL 234.008918 224.652569 \nL 237.476076 223.76539 \nL 241.262148 222.534124 \nL 245.389033 220.899461 \nL 249.877303 218.792809 \nL 254.74496 216.135808 \nL 260.005789 212.84035 \nL 265.667202 208.80943 \nL 271.727451 203.939221 \nL 278.172159 198.122962 \nL 284.970109 191.257277 \nL 292.068268 183.251647 \nL 299.386275 174.041676 \nL 306.810616 163.606463 \nL 314.189219 151.989735 \nL 321.327339 139.323266 \nL 327.986215 125.849335 \nL 333.886111 111.93702 \nL 338.715722 98.085096 \nL 342.149416 84.903861 \nL 343.872778 73.06962 \nL 343.615251 63.25152 \nL 341.185999 56.019006 \nL 336.506683 51.748478 \nL 329.633639 50.553904 \nL 320.76263 52.263903 \nL 310.21291 56.455387 \nL 298.392819 62.534947 \nL 285.753951 69.843713 \nL 235.163333 100.586038 \nL 223.961355 107.050801 \nL 213.648822 112.796164 \nL 204.266253 117.839633 \nL 188.242954 126.043204 \nL 175.543282 132.199334 \nL 161.496798 138.689523 \nL 151.76207 142.927816 \nL 146.880115 144.852709 \nL 142.865704 146.193717 \nL 139.455276 147.018109 \nL 136.457528 147.368311 \nL 133.741588 147.274246 \nL 131.226454 146.762349 \nL 128.871992 145.862526 \nL 126.671233 144.613614 \nL 124.643585 143.067527 \nL 122.828356 141.291886 \nL 121.278135 139.370701 \nL 120.05174 137.402604 \nL 119.206626 135.496432 \nL 118.791124 133.764124 \nL 118.755261 132.996827 \nL 118.837107 132.31182 \nL 119.037072 131.719894 \nL 119.35391 131.230323 \nL 119.784648 130.85067 \nL 120.32458 130.58662 \nL 120.967342 130.441873 \nL 121.704988 130.418126 \nL 123.426199 130.730604 \nL 125.399706 131.500034 \nL 127.524619 132.677703 \nL 129.69572 134.197182 \nL 131.810954 135.98167 \nL 133.77763 137.950486 \nL 135.516544 140.023962 \nL 136.964151 142.126486 \nL 138.072898 144.187981 \nL 138.810283 146.144115 \nL 139.157156 147.935796 \nL 139.105848 149.508388 \nL 138.931181 150.196461 \nL 138.658432 150.810893 \nL 138.289187 151.345801 \nL 137.825517 151.795498 \nL 137.269992 152.154513 \nL 136.625675 152.417629 \nL 135.896164 152.579915 \nL 135.085609 152.636779 \nL 133.24099 152.418177 \nL 131.137864 151.735577 \nL 128.834343 150.575155 \nL 126.402301 148.940415 \nL 123.928488 146.857733 \nL 121.514443 144.381867 \nL 119.274573 141.600074 \nL 117.331683 138.633506 \nL 115.809525 135.633985 \nL 115.242687 134.175635 \nL 114.822601 132.775117 \nL 114.560131 131.455125 \nL 114.464022 130.237616 \nL 114.540538 129.143171 \nL 114.793154 128.190363 \nL 115.222341 127.395199 \nL 115.825423 126.770619 \nL 116.596553 126.326146 \nL 117.52676 126.067662 \nL 118.604167 125.997353 \nL 119.814277 126.113796 \nL 121.140324 126.41217 \nL 122.563735 126.884638 \nL 124.064635 127.52078 \nL 127.21584 129.232423 \nL 130.427755 131.431146 \nL 133.543676 133.991161 \nL 136.427101 136.788951 \nL 138.96785 139.710901 \nL 141.083814 142.656607 \nL 142.71926 145.538992 \nL 143.841012 148.282359 \nL 144.203893 149.580693 \nL 144.433731 150.81962 \nL 144.530634 151.991619 \nL 144.495288 153.089336 \nL 144.328855 154.105542 \nL 144.03291 155.033052 \nL 143.609376 155.864698 \nL 143.060507 156.59327 \nL 142.388873 157.211521 \nL 141.597375 157.712156 \nL 140.689289 158.087853 \nL 139.668318 158.33129 \nL 138.538674 158.43523 \nL 137.305174 158.392616 \nL 135.97336 158.196692 \nL 134.549627 157.84118 \nL 133.04136 157.320462 \nL 131.457097 156.629863 \nL 129.806677 155.765906 \nL 128.101387 154.726663 \nL 126.354113 153.512126 \nL 124.579446 152.124608 \nL 122.793777 150.569144 \nL 121.015347 148.85392 \nL 119.264218 146.990662 \nL 117.562174 144.994963 \nL 115.932564 142.88653 \nL 114.399998 140.689272 \nL 112.989953 138.431262 \nL 111.72828 136.14446 \nL 110.640556 133.864193 \nL 109.751382 131.628423 \nL 109.083569 129.476716 \nL 108.657263 127.449049 \nL 108.489131 125.584395 \nL 108.591505 123.919296 \nL 108.971714 122.48638 \nL 109.631506 121.313062 \nL 110.566731 120.420441 \nL 111.76723 119.822537 \nL 113.217015 119.525936 \nL 114.894684 119.52979 \nL 116.77412 119.826271 \nL 118.825353 120.40136 \nL 121.015575 121.235884 \nL 123.310239 122.306736 \nL 125.67415 123.588105 \nL 128.072526 125.052732 \nL 130.471891 126.672965 \nL 132.840896 128.421708 \nL 135.150899 130.273105 \nL 137.37638 132.203059 \nL 139.495195 134.189526 \nL 141.488653 136.212637 \nL 143.341448 138.254718 \nL 145.041496 140.300147 \nL 146.579665 142.335213 \nL 147.949475 144.347851 \nL 149.146743 146.327433 \nL 150.169231 148.264503 \nL 151.016284 150.15055 \nL 151.688507 151.977797 \nL 152.187448 153.738974 \nL 152.515333 155.427162 \nL 152.67482 157.035611 \nL 152.668806 158.557607 \nL 152.500271 159.986352 \nL 152.17215 161.314831 \nL 151.687257 162.535722 \nL 151.048232 163.641318 \nL 150.257532 164.623439 \nL 149.317445 165.473369 \nL 148.230146 166.181815 \nL 146.997783 166.738887 \nL 145.622575 167.134084 \nL 144.106982 167.356325 \nL 142.453863 167.394006 \nL 140.666697 167.23512 \nL 138.749816 166.86743 \nL 136.708692 166.278699 \nL 134.550239 165.457004 \nL 132.283143 164.391179 \nL 129.918236 163.071324 \nL 127.468844 161.489465 \nL 124.951177 159.64032 \nL 122.384677 157.522167 \nL 119.792335 155.13784 \nL 117.200943 152.495775 \nL 114.641224 149.611086 \nL 112.147827 146.506546 \nL 109.759122 143.213438 \nL 107.516789 139.772116 \nL 105.46507 136.232146 \nL 103.64978 132.6519 \nL 102.116948 129.0975 \nL 100.911225 125.641027 \nL 100.073995 122.357974 \nL 99.641356 119.324077 \nL 99.642094 116.61166 \nL 100.09577 114.285849 \nL 101.011143 112.400942 \nL 102.385051 110.997357 \nL 104.201922 110.099487 \nL 106.434021 109.714764 \nL 109.042368 109.833956 \nL 111.978395 110.432741 \nL 115.186068 111.474194 \nL 118.604403 112.911999 \nL 122.170122 114.693901 \nL 125.820188 116.765107 \nL 129.49412 119.071246 \nL 133.135906 121.560729 \nL 136.695413 124.186446 \nL 140.129327 126.906785 \nL 143.401595 129.686043 \nL 146.483461 132.49435 \nL 149.353167 135.307282 \nL 151.995393 138.105261 \nL 154.400536 140.872847 \nL 156.563889 143.598008 \nL 158.484807 146.271425 \nL 160.165874 148.885898 \nL 161.612124 151.435799 \nL 162.830342 153.916615 \nL 163.828439 156.324621 \nL 164.614931 158.656546 \nL 165.198479 160.909357 \nL 165.587545 163.080084 \nL 165.790097 165.165635 \nL 165.813397 167.162687 \nL 165.663829 169.067557 \nL 165.346809 170.876101 \nL 164.866699 172.583608 \nL 164.226792 174.184692 \nL 163.429303 175.673204 \nL 162.475405 177.042079 \nL 161.365275 178.283249 \nL 160.098173 179.3875 \nL 158.672543 180.344342 \nL 157.086125 181.141869 \nL 155.336125 181.766646 \nL 153.419381 182.203549 \nL 151.332594 182.435699 \nL 149.072588 182.444357 \nL 146.636627 182.208927 \nL 144.022794 181.706973 \nL 141.230441 180.914413 \nL 138.260718 179.805777 \nL 135.117191 178.354715 \nL 131.806552 176.534704 \nL 128.33942 174.320044 \nL 124.731239 171.687228 \nL 121.003228 168.616687 \nL 117.18338 165.094992 \nL 113.307422 161.117434 \nL 109.419711 156.691035 \nL 105.573876 151.837744 \nL 101.833183 146.597683 \nL 98.270338 141.032066 \nL 94.966678 135.225257 \nL 92.010465 129.285554 \nL 89.494266 123.343966 \nL 87.511255 117.550585 \nL 86.150561 112.068167 \nL 85.491871 107.063064 \nL 85.599643 102.694103 \nL 86.51751 99.100446 \nL 88.263583 96.390067 \nL 90.827224 94.630568 \nL 94.167994 93.843874 \nL 98.216934 94.005748 \nL 102.880315 95.050215 \nL 108.045339 96.87819 \nL 113.587173 99.368598 \nL 119.376506 102.390223 \nL 125.286696 105.812688 \nL 131.199897 109.515054 \nL 137.011674 113.391696 \nL 142.633947 117.355209 \nL 147.996336 121.336972 \nL 153.046118 125.285909 \nL 157.747168 129.166182 \nL 162.078166 132.954384 \nL 166.030451 136.636763 \nL 169.605725 140.206638 \nL 172.813816 143.662279 \nL 175.670616 147.005186 \nL 178.196271 150.238801 \nL 180.41364 153.367594 \nL 182.347025 156.396446 \nL 184.021171 159.33024 \nL 185.460491 162.173633 \nL 186.688484 164.930925 \nL 187.727336 167.60603 \nL 188.597648 170.202467 \nL 189.906277 175.171618 \nL 190.743463 179.859926 \nL 191.210045 184.284972 \nL 191.381118 188.461443 \nL 191.309434 192.401804 \nL 191.028853 196.116623 \nL 190.55738 199.61466 \nL 189.899584 202.902663 \nL 189.048299 205.984967 \nL 187.985641 208.862817 \nL 186.683373 211.533319 \nL 185.102665 213.987934 \nL 183.193348 216.210254 \nL 182.096386 217.226263 \nL 180.892682 218.172806 \nL 179.572171 219.043962 \nL 178.123794 219.832446 \nL 176.535441 220.529339 \nL 174.7939 221.123788 \nL 172.884816 221.602619 \nL 170.792663 221.94994 \nL 168.500738 222.146618 \nL 165.991199 222.169723 \nL 163.245144 221.991881 \nL 160.242762 221.580546 \nL 156.963584 220.89723 \nL 153.386852 219.896696 \nL 149.49207 218.526152 \nL 145.259746 216.724549 \nL 140.672452 214.422092 \nL 135.716209 211.540127 \nL 130.382305 207.991683 \nL 124.66964 203.682973 \nL 118.587669 198.516339 \nL 112.159984 192.395129 \nL 105.428561 185.231126 \nL 98.458587 176.955147 \nL 91.34361 167.531113 \nL 84.210606 156.973625 \nL 77.224194 145.368125 \nL 70.588964 132.891543 \nL 64.548528 119.829628 \nL 59.379672 106.585526 \nL 55.380136 93.672922 \nL 52.849096 81.687666 \nL 52.0607 71.254799 \nL 53.232878 62.954268 \nL 56.4959 57.236788 \nL 61.866812 54.348846 \nL 69.236238 54.287974 \nL 78.37215 56.803611 \nL 88.941615 61.445246 \nL 100.546526 67.644528 \nL 112.766 74.807555 \nL 160.564577 103.945884 \nL 171.006779 110.05946 \nL 189.303268 120.383308 \nL 204.157826 128.428053 \nL 232.448605 143.352019 \nL 240.725816 147.587812 \nL 245.077016 149.586508 \nL 248.850044 150.99553 \nL 250.590954 151.487379 \nL 252.264328 151.839414 \nL 253.887586 152.052115 \nL 255.474726 152.125516 \nL 257.036564 152.059488 \nL 258.580964 151.85399 \nL 260.113043 151.509294 \nL 261.635353 151.026249 \nL 263.148023 150.406541 \nL 264.648907 149.652904 \nL 266.13375 148.769386 \nL 267.596285 147.761573 \nL 270.420275 145.404393 \nL 273.036848 142.664323 \nL 275.341707 139.658936 \nL 277.219182 136.53982 \nL 277.961162 134.992825 \nL 278.553706 133.486064 \nL 278.984649 132.044036 \nL 279.243606 130.690988 \nL 279.322426 129.450186 \nL 279.215582 128.343254 \nL 278.920503 127.389479 \nL 278.437799 126.605199 \nL 277.771423 126.003331 \nL 276.928665 125.592993 \nL 275.92008 125.379341 \nL 274.759237 125.363524 \nL 273.462385 125.542851 \nL 272.048038 125.911089 \nL 270.536463 126.458894 \nL 268.949148 127.174303 \nL 265.636007 129.050518 \nL 262.284228 131.413453 \nL 259.056586 134.12957 \nL 256.092307 137.070429 \nL 253.501515 140.11992 \nL 251.364278 143.176896 \nL 249.733147 146.154563 \nL 248.637739 148.977968 \nL 248.295222 150.31084 \nL 248.09003 151.580751 \nL 248.021721 152.780215 \nL 248.089323 153.901885 \nL 248.291436 154.938507 \nL 248.626297 155.882828 \nL 249.091837 156.72756 \nL 249.685701 157.465346 \nL 250.405248 158.088735 \nL 251.247538 158.590176 \nL 252.209278 158.962053 \nL 253.286762 159.19672 \nL 254.475773 159.286564 \nL 255.771481 159.224108 \nL 257.168311 159.002149 \nL 258.659803 158.613958 \nL 260.238439 158.053461 \nL 261.895496 157.315538 \nL 263.620858 156.396326 \nL 265.402855 155.293582 \nL 267.228104 154.007084 \nL 269.081386 152.539073 \nL 270.94551 150.894733 \nL 272.801301 149.082627 \nL 274.627592 147.115138 \nL 276.401316 145.008845 \nL 278.097719 142.784791 \nL 279.690645 140.468615 \nL 281.152975 138.09048 \nL 282.457186 135.684752 \nL 283.576038 133.28948 \nL 284.483367 130.945506 \nL 285.15499 128.69534 \nL 285.569617 126.581829 \nL 285.709823 124.646565 \nL 285.562911 122.928302 \nL 285.121673 121.461328 \nL 284.384992 120.274041 \nL 283.358175 119.387775 \nL 282.053013 118.816034 \nL 280.487572 118.564145 \nL 278.68564 118.629393 \nL 276.675966 119.001604 \nL 274.491263 119.664088 \nL 272.167047 120.594861 \nL 269.740433 121.768034 \nL 267.248959 123.15521 \nL 264.72943 124.726783 \nL 262.216957 126.453156 \nL 259.744144 128.30565 \nL 257.340496 130.257219 \nL 255.032013 132.282951 \nL 252.840981 134.360306 \nL 250.785948 136.469194 \nL 248.881832 138.59192 \nL 247.140158 140.713019 \nL 245.569357 142.819038 \nL 244.175138 144.89826 \nL 242.960869 146.940426 \nL 241.927977 148.936476 \nL 241.076332 150.878282 \nL 240.404591 152.758437 \nL 239.910547 154.570004 \nL 239.59139 156.306371 \nL 239.443969 157.961048 \nL 239.464984 159.527551 \nL 239.65115 160.999252 \nL 239.999319 162.369275 \nL 240.506558 163.630373 \nL 241.170194 164.774866 \nL 241.987827 165.794523 \nL 242.957307 166.680532 \nL 244.076672 167.423423 \nL 245.34407 168.013036 \nL 246.757623 168.438498 \nL 248.315294 168.688255 \nL 250.014696 168.750103 \nL 251.852859 168.611317 \nL 253.82599 168.258768 \nL 255.929178 167.679191 \nL 258.156061 166.859492 \nL 260.498483 165.78715 \nL 262.946088 164.450792 \nL 265.485932 162.840827 \nL 268.102049 160.950293 \nL 270.775059 158.775772 \nL 273.481788 156.318472 \nL 276.19498 153.585381 \nL 278.883074 150.590485 \nL 281.51017 147.355902 \nL 284.036169 143.912918 \nL 286.41718 140.302699 \nL 288.606223 136.576619 \nL 290.554268 132.795953 \nL 292.211652 129.030864 \nL 293.529777 125.358574 \nL 294.463185 121.860627 \nL 294.971762 118.619459 \nL 295.023028 115.71432 \nL 294.594305 113.21701 \nL 293.674537 111.187698 \nL 292.265633 109.671396 \nL 290.383088 108.695475 \nL 288.055799 108.26848 \nL 285.325091 108.380393 \nL 282.242928 109.004374 \nL 278.869548 110.099624 \nL 275.270658 111.614984 \nL 271.514492 113.492938 \nL 267.668954 115.673419 \nL 263.799049 118.097114 \nL 259.964782 120.708178 \nL 256.219599 123.456016 \nL 252.609388 126.296361 \nL 249.172022 129.191651 \nL 245.937378 132.110869 \nL 242.927698 135.029042 \nL 240.158259 137.926482 \nL 237.63819 140.787979 \nL 235.371384 143.601964 \nL 233.35744 146.359744 \nL 231.592577 149.054811 \nL 230.070476 151.682267 \nL 228.783048 154.238359 \nL 227.721084 156.720083 \nL 226.874835 159.124904 \nL 226.234466 161.450491 \nL 225.79044 163.694568 \nL 225.533812 165.854727 \nL 225.456452 167.92834 \nL 225.551206 169.912426 \nL 225.812008 171.803568 \nL 226.233945 173.597793 \nL 226.813293 175.290511 \nL 227.547507 176.876377 \nL 228.435209 178.349191 \nL 229.476134 179.701803 \nL 230.671068 180.925931 \nL 232.021752 182.012078 \nL 233.530795 182.949334 \nL 235.201522 183.725255 \nL 237.037838 184.325702 \nL 239.044023 184.734687 \nL 241.224521 184.934234 \nL 243.583658 184.904294 \nL 246.125308 184.622688 \nL 248.8525 184.065121 \nL 251.766942 183.205334 \nL 254.868451 182.015375 \nL 258.154278 180.466103 \nL 261.618353 178.527928 \nL 265.250362 176.171904 \nL 269.034795 173.371193 \nL 272.94984 170.103023 \nL 276.966254 166.351115 \nL 281.04626 162.10865 \nL 285.142506 157.381685 \nL 289.197262 152.192879 \nL 293.141973 146.585274 \nL 296.897401 140.625711 \nL 300.374522 134.407356 \nL 303.476392 128.050609 \nL 306.101139 121.701733 \nL 308.146205 115.528553 \nL 309.513688 109.712863 \nL 310.116595 104.439642 \nL 309.885496 99.883886 \nL 308.774917 96.196352 \nL 306.76864 93.490323 \nL 303.883105 91.831416 \nL 300.168292 91.232219 \nL 295.705736 91.652979 \nL 290.603764 93.008006 \nL 284.990492 95.176755 \nL 279.005504 98.017408 \nL 272.791174 101.380833 \nL 266.484695 105.122748 \nL 260.211487 109.112878 \nL 254.080522 113.24056 \nL 248.181604 117.417023 \nL 242.584447 121.574979 \nL 237.339242 125.666471 \nL 232.478283 129.659735 \nL 228.018238 133.535803 \nL 223.96272 137.285219 \nL 220.30491 140.905244 \nL 217.030025 144.397556 \nL 214.117531 147.766531 \nL 211.543043 151.017967 \nL 209.279897 154.158219 \nL 207.300421 157.193657 \nL 205.576911 160.130336 \nL 204.082367 162.973833 \nL 202.791019 165.729164 \nL 201.678678 168.400808 \nL 199.903354 173.508481 \nL 198.600166 178.323645 \nL 197.642732 182.867866 \nL 196.643669 189.214773 \nL 195.771793 196.878015 \nL 194.414808 209.823106 \nL 193.789413 213.961014 \nL 193.000324 217.74958 \nL 192.348845 220.090732 \nL 191.568468 222.288628 \nL 190.629651 224.344599 \nL 189.496878 226.256976 \nL 188.127111 228.01984 \nL 186.468007 229.621236 \nL 184.45584 231.04049 \nL 182.013097 232.244236 \nL 180.601615 232.750014 \nL 179.045809 233.180591 \nL 177.330893 233.52519 \nL 175.440703 233.770618 \nL 173.357624 233.900765 \nL 171.062534 233.896029 \nL 168.534792 233.73262 \nL 165.75225 233.381765 \nL 162.691356 232.808792 \nL 159.327336 231.972109 \nL 155.634511 230.82206 \nL 151.586802 229.299757 \nL 147.158463 227.335899 \nL 142.325153 224.849748 \nL 137.065392 221.748423 \nL 131.362585 217.926835 \nL 125.207671 213.268663 \nL 118.602578 207.64897 \nL 111.564573 200.939212 \nL 104.13161 193.015551 \nL 96.368663 183.771465 \nL 88.374769 173.135558 \nL 80.290422 161.094911 \nL 72.304305 147.723387 \nL 64.658041 133.212397 \nL 57.646958 117.899049 \nL 51.614391 102.283551 \nL 46.937021 87.025201 \nL 43.999405 72.906136 \nL 43.157727 60.756368 \nL 44.695638 51.343715 \nL 48.778959 45.246976 \nL 55.418926 42.744048 \nL 64.454525 43.751056 \nL 75.561108 47.836622 \nL 88.285882 54.310685 \nL 102.102996 62.359764 \nL 144.989385 88.642333 \nL 158.404975 96.454792 \nL 170.941748 103.390106 \nL 182.475657 109.403878 \nL 192.954898 114.527881 \nL 202.381576 118.836861 \nL 210.794962 122.424618 \nL 218.257677 125.388702 \nL 224.845125 127.821646 \nL 230.637881 129.806742 \nL 240.158267 132.713251 \nL 247.412796 134.56858 \nL 252.900558 135.700072 \nL 257.018275 136.340085 \nL 261.274228 136.733329 \nL 264.436139 136.772603 \nL 265.807226 136.806602 \nL 265.827814 136.942373 \nL 265.489817 137.3328 \nL 263.849631 139.080943 \nL 262.906058 140.416915 \nL 262.390563 141.440786 \nL 262.119358 142.38819 \nL 262.134176 143.177136 \nL 262.310983 143.578756 \nL 262.619085 143.859411 \nL 263.050674 144.004577 \nL 263.592963 144.003926 \nL 264.574376 143.719032 \nL 265.687114 143.100301 \nL 266.835663 142.184789 \nL 267.912348 141.043105 \nL 268.806228 139.777254 \nL 269.41473 138.513013 \nL 269.657113 137.386615 \nL 269.59083 136.776816 \nL 269.337553 136.318607 \nL 268.90391 136.037044 \nL 268.305999 135.948159 \nL 267.568633 136.058034 \nL 266.724005 136.362702 \nL 265.339127 137.153455 \nL 263.936358 138.27289 \nL 262.6531 139.614977 \nL 261.611472 141.058477 \nL 260.907956 142.478179 \nL 260.660297 143.351437 \nL 260.603586 144.126895 \nL 260.742196 144.773938 \nL 261.073974 145.26529 \nL 261.590359 145.577675 \nL 262.276488 145.692559 \nL 263.111338 145.597055 \nL 264.067844 145.284944 \nL 265.113144 144.757795 \nL 266.208958 144.026038 \nL 267.852322 142.591813 \nL 269.353131 140.856833 \nL 270.193516 139.610781 \nL 270.851955 138.359206 \nL 271.288411 137.16398 \nL 271.47168 136.08751 \nL 271.382209 135.188338 \nL 271.014385 134.516674 \nL 270.377759 134.110498 \nL 269.497055 133.992779 \nL 268.410843 134.17018 \nL 267.169052 134.633348 \nL 265.829525 135.358571 \nL 264.45415 136.310497 \nL 263.10499 137.445295 \nL 261.840846 138.713835 \nL 260.714559 140.064469 \nL 259.77107 141.445282 \nL 259.046379 142.805618 \nL 258.567164 144.09717 \nL 258.35091 145.274531 \nL 258.40629 146.29561 \nL 258.733673 147.121886 \nL 259.325533 147.718839 \nL 260.166709 148.056607 \nL 261.234427 148.110902 \nL 262.498145 147.864425 \nL 263.919358 147.30863 \nL 265.451339 146.445777 \nL 267.039277 145.291205 \nL 268.620807 143.875357 \nL 270.127386 142.245293 \nL 271.486605 140.464976 \nL 272.625665 138.613981 \nL 273.475896 136.78407 \nL 273.978094 135.073634 \nL 274.088124 133.58024 \nL 273.987674 132.94314 \nL 273.781983 132.392252 \nL 273.471806 131.935857 \nL 273.059512 131.580714 \nL 272.549065 131.331942 \nL 271.945983 131.192916 \nL 271.257231 131.165246 \nL 269.657014 131.441688 \nL 267.827294 132.140637 \nL 265.85872 133.219068 \nL 263.846605 134.617462 \nL 261.884168 136.26611 \nL 260.056915 138.090857 \nL 258.438709 140.017556 \nL 257.089602 141.975017 \nL 256.055227 143.896535 \nL 255.367372 145.720417 \nL 255.045269 147.389721 \nL 255.097106 148.851754 \nL 255.521469 150.057529 \nL 255.87054 150.549969 \nL 256.30836 150.961557 \nL 256.832417 151.28719 \nL 257.439695 151.522028 \nL 258.126649 151.661559 \nL 259.722609 151.638677 \nL 261.580247 151.191583 \nL 263.648814 150.303818 \nL 265.865502 148.973429 \nL 268.154441 147.217553 \nL 270.426509 145.077211 \nL 272.580572 142.621247 \nL 274.506728 139.948326 \nL 276.091929 137.18557 \nL 277.22807 134.48271 \nL 277.597771 133.204141 \nL 277.822066 132.001243 \nL 277.893443 130.893575 \nL 277.806647 129.899412 \nL 277.558912 129.035215 \nL 277.150162 128.315164 \nL 276.583118 127.750737 \nL 275.863301 127.35041 \nL 274.998974 127.119485 \nL 274.000964 127.060018 \nL 272.882417 127.170903 \nL 271.658477 127.448073 \nL 270.345887 127.884753 \nL 267.527205 129.198451 \nL 264.576071 131.019129 \nL 261.640615 133.237215 \nL 258.856157 135.738516 \nL 256.337563 138.413081 \nL 254.175483 141.160328 \nL 252.436002 143.890918 \nL 251.162822 146.52626 \nL 250.380813 148.99668 \nL 250.177604 150.150139 \nL 250.100001 151.239087 \nL 250.147539 152.256286 \nL 250.319236 153.194621 \nL 250.613672 154.047077 \nL 251.029014 154.806692 \nL 251.563046 155.466538 \nL 252.213186 156.019696 \nL 252.976451 156.459288 \nL 253.849438 156.778489 \nL 254.828262 156.970585 \nL 255.908486 157.029042 \nL 257.085044 156.947608 \nL 258.352119 156.720443 \nL 259.703046 156.342288 \nL 261.13019 155.808656 \nL 262.624802 155.11607 \nL 264.176908 154.26233 \nL 265.775187 153.2468 \nL 267.406858 152.070767 \nL 269.057612 150.737766 \nL 270.711552 149.253913 \nL 272.35119 147.628276 \nL 273.957513 145.873137 \nL 275.51009 144.004269 \nL 276.987276 142.041045 \nL 278.366529 140.006466 \nL 279.624758 137.927038 \nL 280.738842 135.832436 \nL 281.686186 133.754986 \nL 282.445364 131.728963 \nL 282.996844 129.789657 \nL 283.323703 127.972293 \nL 283.412346 126.310859 \nL 283.253163 124.836863 \nL 282.841083 123.578154 \nL 282.176014 122.557863 \nL 281.263035 121.793537 \nL 280.112457 121.296576 \nL 278.739591 121.071971 \nL 277.164365 121.118396 \nL 275.410704 121.428588 \nL 273.50576 121.990027 \nL 271.479055 122.785807 \nL 269.36154 123.79565 \nL 267.184669 124.996922 \nL 264.979522 126.365651 \nL 262.776025 127.877422 \nL 258.484079 131.234733 \nL 254.503714 134.88993 \nL 250.984389 138.689317 \nL 249.43153 140.602794 \nL 248.02918 142.507313 \nL 246.783819 144.391099 \nL 245.699869 146.243618 \nL 244.779991 148.055348 \nL 244.025378 149.81763 \nL 243.436054 151.522431 \nL 243.011125 153.162198 \nL 242.74902 154.729694 \nL 242.647696 156.217847 \nL 242.704809 157.619624 \nL 242.917848 158.927926 \nL 243.284234 160.135483 \nL 243.801403 161.234767 \nL 244.466821 162.217917 \nL 245.278007 163.076676 \nL 246.23249 163.802361 \nL 247.327761 164.385843 \nL 248.561178 164.817531 \nL 249.929858 165.087396 \nL 251.430519 165.185049 \nL 253.059316 165.09983 \nL 254.811623 164.820965 \nL 256.681806 164.337774 \nL 258.662966 163.639956 \nL 260.746651 162.717927 \nL 262.922565 161.563312 \nL 265.17824 160.169439 \nL 267.498747 158.532018 \nL 269.866392 156.649834 \nL 272.260457 154.525583 \nL 274.657008 152.166725 \nL 277.028766 149.586328 \nL 279.345136 146.803918 \nL 281.572362 143.846129 \nL 283.673873 140.747206 \nL 285.610878 137.549158 \nL 287.343167 134.301473 \nL 288.830191 131.060356 \nL 290.032371 127.887373 \nL 290.912603 124.847525 \nL 291.437937 122.006761 \nL 291.581238 119.429139 \nL 291.322813 117.173723 \nL 290.651814 115.291607 \nL 289.567298 113.823178 \nL 288.078806 112.79613 \nL 286.206395 112.224235 \nL 283.98012 112.107115 \nL 281.438892 112.431035 \nL 278.628915 113.170491 \nL 275.601729 114.290559 \nL 272.412052 115.749552 \nL 269.115638 117.501805 \nL 265.767211 119.500253 \nL 262.418694 121.698701 \nL 259.117763 124.05356 \nL 255.90681 126.525059 \nL 252.822305 129.077931 \nL 249.894516 131.681699 \nL 247.147556 134.310567 \nL 244.599694 136.943118 \nL 242.263845 139.561796 \nL 240.148185 142.152392 \nL 238.256839 144.703458 \nL 236.590579 147.205761 \nL 235.147511 149.651799 \nL 233.923716 152.035381 \nL 232.913838 154.35124 \nL 232.111596 156.594751 \nL 231.510229 158.76165 \nL 231.102855 160.847843 \nL 230.882787 162.849228 \nL 230.843761 164.761532 \nL 230.980117 166.580198 \nL 231.28693 168.300243 \nL 231.760097 169.91616 \nL 232.396377 171.421808 \nL 233.193402 172.810302 \nL 234.149668 174.073893 \nL 235.264467 175.203861 \nL 236.537818 176.190419 \nL 237.970364 177.022588 \nL 239.563237 177.688086 \nL 241.317885 178.173255 \nL 243.235876 178.462996 \nL 245.318657 178.540705 \nL 247.567258 178.388302 \nL 249.981965 177.986314 \nL 252.561903 177.314033 \nL 255.304591 176.34981 \nL 258.205393 175.071507 \nL 261.256931 173.457132 \nL 264.448387 171.48572 \nL 267.76479 169.138475 \nL 271.186212 166.400228 \nL 274.687009 163.261227 \nL 278.235028 159.719219 \nL 281.790947 155.7818 \nL 285.307771 151.468932 \nL 288.730646 146.815445 \nL 291.997021 141.873218 \nL 295.037352 136.712784 \nL 297.77647 131.423909 \nL 300.135698 126.114704 \nL 302.035723 120.90895 \nL 303.400226 115.9414 \nL 304.160111 111.35108 \nL 304.258053 107.272965 \nL 303.652964 103.828747 \nL 302.32389 101.117786 \nL 300.272878 99.209396 \nL 297.526302 98.13773 \nL 294.134448 97.899997 \nL 290.169224 98.458361 \nL 285.720209 99.745168 \nL 280.889487 101.670566 \nL 275.785804 104.131394 \nL 270.51871 107.019936 \nL 265.193241 110.231542 \nL 259.90557 113.670467 \nL 254.739858 117.253504 \nL 249.76641 120.91175 \nL 245.040951 124.590626 \nL 240.604933 128.248846 \nL 236.486521 131.856633 \nL 232.702084 135.393674 \nL 229.257948 138.847072 \nL 226.152216 142.209496 \nL 223.376532 145.477572 \nL 220.917727 148.650631 \nL 218.759265 151.729753 \nL 216.882469 154.717028 \nL 215.267553 157.615051 \nL 213.894442 160.426612 \nL 212.743413 163.154453 \nL 211.795582 165.80116 \nL 211.033255 168.369071 \nL 210.440161 170.860266 \nL 210.001611 173.276554 \nL 209.704572 175.619457 \nL 209.537697 177.890236 \nL 209.557376 182.219084 \nL 210.002519 186.267662 \nL 210.839124 190.03574 \nL 211.399652 191.812982 \nL 212.055115 193.51733 \nL 212.807099 195.146871 \nL 213.658332 196.699099 \nL 214.612648 198.170791 \nL 215.674956 199.55792 \nL 216.851221 200.855492 \nL 218.148443 202.057401 \nL 219.57464 203.15624 \nL 221.138833 204.143072 \nL 222.851023 205.007192 \nL 224.72216 205.735832 \nL 226.764098 206.313829 \nL 228.989514 206.723271 \nL 231.411805 206.943085 \nL 234.044922 206.948613 \nL 236.903144 206.711145 \nL 240.000775 206.197484 \nL 243.351714 205.369521 \nL 246.968894 204.183904 \nL 250.863532 202.591868 \nL 255.044189 200.539314 \nL 259.515546 197.967296 \nL 264.276895 194.813086 \nL 269.320302 191.012004 \nL 274.62839 186.50036 \nL 280.171798 181.219689 \nL 285.906306 175.122616 \nL 291.769829 168.180537 \nL 297.679411 160.393025 \nL 303.528632 151.798761 \nL 309.18591 142.487017 \nL 314.494341 132.608258 \nL 319.273834 122.381644 \nL 323.326377 112.096462 \nL 326.444989 102.104515 \nL 328.426578 92.801034 \nL 329.088294 84.593421 \nL 328.285817 77.860095 \nL 325.931394 72.905348 \nL 322.008405 69.918681 \nL 316.579391 68.948343 \nL 309.785251 69.896073 \nL 301.834891 72.535286 \nL 292.986789 76.54823 \nL 283.525562 81.572995 \nL 273.737658 87.249625 \nL 263.88998 93.256341 \nL 244.896955 105.28183 \nL 227.851522 116.346334 \nL 213.355713 125.997559 \nL 201.477826 134.264408 \nL 191.966248 141.35644 \nL 184.421294 147.500075 \nL 178.405853 152.875077 \nL 173.505824 157.602359 \nL 165.654061 165.350032 \nL 162.145661 168.395662 \nL 160.39976 169.702739 \nL 158.630289 170.858588 \nL 156.818424 171.855885 \nL 154.947508 172.685895 \nL 153.002903 173.338496 \nL 150.971906 173.802187 \nL 148.843693 174.064122 \nL 146.609336 174.110161 \nL 144.261881 173.924967 \nL 141.796489 173.492192 \nL 139.210647 172.794725 \nL 136.504454 171.815095 \nL 133.680977 170.535944 \nL 130.746669 168.940752 \nL 127.71185 167.014712 \nL 124.591231 164.745826 \nL 121.404451 162.126249 \nL 118.176607 159.153858 \nL 114.938728 155.833988 \nL 111.728128 152.181301 \nL 108.588563 148.221684 \nL 105.570112 143.99395 \nL 102.728705 139.551168 \nL 100.125193 134.961344 \nL 97.823884 130.307172 \nL 95.890505 125.684566 \nL 94.389636 121.199813 \nL 93.381621 116.965262 \nL 92.919155 113.093707 \nL 93.043821 109.69183 \nL 93.782813 106.853352 \nL 95.146282 104.652609 \nL 97.125537 103.13939 \nL 99.692486 102.335876 \nL 102.8004 102.235884 \nL 106.386009 102.806821 \nL 110.372726 103.99379 \nL 114.674731 105.725251 \nL 119.20141 107.91952 \nL 123.861833 110.491079 \nL 128.568741 113.356173 \nL 133.241876 116.437094 \nL 137.81038 119.665065 \nL 142.214302 122.981697 \nL 146.405242 126.339325 \nL 150.34622 129.700448 \nL 154.011013 133.036597 \nL 157.383085 136.326973 \nL 160.454281 139.557008 \nL 163.223434 142.716939 \nL 165.694969 145.800652 \nL 167.877588 148.804627 \nL 169.783085 151.727141 \nL 171.425307 154.567657 \nL 172.819277 157.326345 \nL 173.980465 160.003737 \nL 174.924209 162.600516 \nL 175.66526 165.117335 \nL 176.217442 167.554707 \nL 176.593404 169.912922 \nL 176.804453 172.192008 \nL 176.860443 174.391672 \nL 176.769721 176.511265 \nL 176.539104 178.549714 \nL 176.17389 180.505505 \nL 175.677881 182.376617 \nL 175.053427 184.160428 \nL 174.301472 185.853659 \nL 173.421612 187.452277 \nL 172.41215 188.951357 \nL 171.270157 190.344972 \nL 169.991536 191.626046 \nL 168.571083 192.786155 \nL 167.002566 193.815352 \nL 165.27881 194.701944 \nL 163.391794 195.432245 \nL 161.332772 195.990323 \nL 159.092435 196.357713 \nL 156.6611 196.513138 \nL 154.02896 196.432236 \nL 151.186416 196.087296 \nL 148.124476 195.447082 \nL 144.835285 194.476727 \nL 141.312766 193.137792 \nL 137.55343 191.388566 \nL 133.557365 189.184679 \nL 129.329432 186.480192 \nL 124.88066 183.229218 \nL 120.229862 179.38834 \nL 115.405466 174.919892 \nL 110.447425 169.79624 \nL 105.409234 164.005111 \nL 100.359745 157.555943 \nL 95.384635 150.486828 \nL 90.587184 142.871569 \nL 86.087936 134.82589 \nL 82.022817 126.511468 \nL 78.539316 118.136183 \nL 75.790353 109.949054 \nL 73.925811 102.228588 \nL 73.082057 95.264192 \nL 73.370171 89.331862 \nL 74.864305 84.666916 \nL 77.591706 81.438166 \nL 81.526328 79.728509 \nL 86.587359 79.526213 \nL 92.643419 80.729095 \nL 99.522096 83.160891 \nL 107.023486 86.596099 \nL 114.935672 90.788114 \nL 123.049853 95.495279 \nL 131.173263 100.500861 \nL 139.138586 105.62519 \nL 146.809396 110.73025 \nL 154.082021 115.718259 \nL 160.884456 120.526419 \nL 167.173267 125.11989 \nL 172.929393 129.484535 \nL 178.15351 133.620439 \nL 182.861527 137.536552 \nL 187.080474 141.246694 \nL 190.844986 144.766685 \nL 194.194406 148.112495 \nL 197.170496 151.299094 \nL 199.815684 154.339858 \nL 202.171782 157.246308 \nL 206.175777 162.693049 \nL 209.477655 167.695942 \nL 216.232385 178.433768 \nL 218.829214 182.027887 \nL 220.18101 183.666387 \nL 221.58969 185.193385 \nL 223.070089 186.603101 \nL 224.636349 187.888443 \nL 226.302068 189.040883 \nL 228.080415 190.050272 \nL 229.984213 190.904656 \nL 232.025976 191.590056 \nL 234.217916 192.090255 \nL 236.571868 192.386569 \nL 239.099182 192.457628 \nL 241.810523 192.279182 \nL 244.715586 191.823957 \nL 247.822714 191.061593 \nL 251.138394 189.958716 \nL 254.666611 188.479196 \nL 258.408057 186.584671 \nL 262.359163 184.23543 \nL 266.51094 181.391789 \nL 270.847675 178.015979 \nL 275.345433 174.074844 \nL 279.970464 169.543212 \nL 284.677554 164.408204 \nL 289.408502 158.674264 \nL 294.090815 152.368789 \nL 298.636996 145.547949 \nL 302.944581 138.301965 \nL 306.897381 130.758985 \nL 310.368238 123.086331 \nL 313.223537 115.487891 \nL 315.329632 108.196561 \nL 316.561053 101.461248 \nL 316.809943 95.528833 \nL 315.99594 90.622763 \nL 314.075205 86.921132 \nL 311.047243 84.537944 \nL 306.958243 83.511239 \nL 301.900026 83.800629 \nL 296.004502 85.294922 \nL 289.434193 87.828303 \nL 282.370186 91.201646 \nL 274.999232 95.204878 \nL 267.501659 99.636613 \nL 260.041492 104.318549 \nL 252.75955 109.103714 \nL 245.769653 113.8791 \nL 239.157653 118.563956 \nL 232.982679 123.105497 \nL 227.279858 127.473302 \nL 222.063885 131.653644 \nL 217.332866 135.644459 \nL 213.072075 139.451133 \nL 209.257355 143.083345 \nL 205.858066 146.5528 \nL 202.839525 149.871651 \nL 200.164957 153.051595 \nL 197.796993 156.103305 \nL 195.698791 159.036199 \nL 192.171395 164.576621 \nL 189.322374 169.72295 \nL 185.839818 176.772677 \nL 182.776598 183.066916 \nL 180.731924 186.848952 \nL 178.549847 190.289204 \nL 177.375032 191.874856 \nL 176.12809 193.365826 \nL 174.797103 194.757091 \nL 173.370216 196.042468 \nL 171.835513 197.214434 \nL 170.180923 198.263928 \nL 168.394146 199.180125 \nL 166.462607 199.950179 \nL 164.373446 200.558925 \nL 162.113543 200.98857 \nL 159.669602 201.21836 \nL 157.028289 201.224222 \nL 154.17645 200.978405 \nL 151.101411 200.449179 \nL 147.791413 199.600555 \nL 144.236179 198.392163 \nL 140.427633 196.779282 \nL 136.360845 194.713197 \nL 132.035196 192.141921 \nL 127.455774 189.011535 \nL 122.635111 185.26825 \nL 117.59511 180.861445 \nL 112.369286 175.747847 \nL 107.00514 169.897045 \nL 101.566585 163.29836 \nL 96.136134 155.968912 \nL 90.816603 147.962481 \nL 85.731828 139.378246 \nL 81.025856 130.36801 \nL 76.860066 121.140131 \nL 73.407677 111.957847 \nL 70.845237 103.130021 \nL 69.341258 94.992957 \nL 69.042499 87.883506 \nL 70.059296 82.105976 \nL 72.451856 77.897656 \nL 76.219851 75.399507 \nL 81.29751 74.638573 \nL 87.555672 75.526595 \nL 94.811022 77.87563 \nL 102.841244 81.426947 \nL 111.403664 85.886771 \nL 120.254405 90.961001 \nL 129.165269 96.383079 \nL 137.936444 101.931542 \nL 154.443758 112.781794 \nL 168.925722 122.728224 \nL 175.292529 127.278654 \nL 181.069121 131.547298 \nL 186.273755 135.54886 \nL 190.937646 139.303304 \nL 195.100734 142.832312 \nL 198.808237 146.157055 \nL 202.10797 149.296869 \nL 205.048318 152.268609 \nL 210.03898 157.761938 \nL 214.133986 162.719777 \nL 222.363561 173.011819 \nL 225.45192 176.291053 \nL 227.042596 177.738313 \nL 228.688589 179.049116 \nL 230.406302 180.215541 \nL 232.210861 181.228159 \nL 234.116249 182.075913 \nL 236.135386 182.746019 \nL 238.280146 183.223832 \nL 240.561341 183.492754 \nL 242.98862 183.534152 \nL 245.570307 183.327335 \nL 248.31315 182.849582 \nL 251.221992 182.076264 \nL 254.299328 180.98116 \nL 257.544764 179.536889 \nL 260.954364 177.715627 \nL 264.519885 175.490117 \nL 268.227886 172.835035 \nL 272.058796 169.728791 \nL 275.985868 166.155781 \nL 279.974174 162.109121 \nL 283.979679 157.593778 \nL 287.948476 152.63003 \nL 291.816374 147.25699 \nL 295.509002 141.53581 \nL 298.942574 135.552123 \nL 302.025566 129.417103 \nL 304.661412 123.266446 \nL 306.752302 117.256793 \nL 308.204079 111.559096 \nL 308.931979 106.349094 \nL 308.866821 101.795359 \nL 307.961043 98.046251 \nL 306.193887 95.217296 \nL 303.57495 93.3811 \nL 300.145483 92.561366 \nL 295.977086 92.732301 \nL 291.167789 93.823321 \nL 285.835949 95.728422 \nL 280.112693 98.318308 \nL 274.133818 101.453301 \nL 268.032117 104.995146 \nL 261.930835 108.816345 \nL 255.938799 112.806252 \nL 250.147333 116.874125 \nL 244.628932 120.94944 \nL 239.437377 124.980428 \nL 234.608993 128.931421 \nL 230.164589 132.779784 \nL 226.111798 136.512852 \nL 222.447547 140.125187 \nL 219.160418 143.616283 \nL 216.232825 146.988795 \nL 213.642909 150.247202 \nL 211.36614 153.396891 \nL 209.37661 156.443505 \nL 207.648069 159.392568 \nL 206.154703 162.249269 \nL 204.871709 165.018354 \nL 203.7757 167.704103 \nL 202.844955 170.310355 \nL 201.401501 175.297653 \nL 200.404451 180.003594 \nL 199.745538 184.44736 \nL 199.342102 188.64525 \nL 199.133186 192.611555 \nL 199.094068 198.154593 \nL 199.31011 203.243929 \nL 199.744539 207.913405 \nL 200.398845 212.191923 \nL 200.972067 214.838746 \nL 201.673625 217.327218 \nL 202.526189 219.660372 \nL 203.558948 221.838614 \nL 204.808567 223.858719 \nL 206.320479 225.712376 \nL 208.150542 227.384011 \nL 210.367042 228.847604 \nL 211.645512 229.489282 \nL 213.053028 230.061991 \nL 214.602701 230.557098 \nL 216.30889 230.964008 \nL 218.187281 231.269769 \nL 220.254945 231.458593 \nL 222.530393 231.51131 \nL 225.033577 231.404699 \nL 227.785871 231.110735 \nL 230.809966 230.595732 \nL 234.12968 229.819364 \nL 237.769649 228.733608 \nL 241.754827 227.281651 \nL 246.109775 225.396806 \nL 250.857624 223.001566 \nL 256.018672 220.006999 \nL 261.608446 216.312734 \nL 267.635197 211.807941 \nL 274.096601 206.373853 \nL 280.975651 199.888519 \nL 288.235625 192.234625 \nL 295.814162 183.311269 \nL 303.616644 173.050519 \nL 311.50932 161.439084 \nL 319.312974 148.544482 \nL 326.798481 134.543565 \nL 333.686001 119.748785 \nL 339.650035 104.624896 \nL 344.332696 89.786621 \nL 347.366915 75.967257 \nL 348.409676 63.952045 \nL 347.182802 54.478811 \nL 343.515409 48.121234 \nL 337.379381 45.182542 \nL 328.908211 45.632248 \nL 318.392027 49.109915 \nL 306.247572 54.99821 \nL 292.968869 62.543236 \nL 279.069894 70.984438 \nL 251.264942 88.061189 \nL 238.08729 95.855921 \nL 225.721786 102.860139 \nL 214.304076 109.007696 \nL 203.897555 114.311695 \nL 194.510401 118.83216 \nL 186.111696 122.651851 \nL 178.64507 125.860237 \nL 172.039402 128.543897 \nL 161.097578 132.64224 \nL 152.666244 135.458588 \nL 146.189482 137.358534 \nL 141.208708 138.595149 \nL 137.363649 139.343854 \nL 134.38037 139.729202 \nL 132.05567 139.84323 \nL 130.241893 139.757471 \nL 128.83362 139.530435 \nL 127.325346 139.032643 \nL 126.402917 138.472531 \nL 125.964287 137.970269 \nL 125.934803 137.621171 \nL 126.10837 137.507768 \nL 126.603528 137.546571 \nL 127.306216 137.845202 \nL 128.407201 138.612208 \nL 129.490265 139.692275 \nL 130.350251 140.917482 \nL 130.750934 141.816774 \nL 130.891817 142.610139 \nL 130.752303 143.224657 \nL 130.504127 143.504216 \nL 130.139056 143.662631 \nL 129.398216 143.651635 \nL 128.476973 143.330138 \nL 127.450764 142.709052 \nL 126.410307 141.828866 \nL 125.45539 140.760215 \nL 124.686245 139.600718 \nL 124.192615 138.466913 \nL 124.041871 137.481417 \nL 124.150289 136.96338 \nL 124.42722 136.58943 \nL 124.86426 136.380087 \nL 125.444678 136.34757 \nL 126.144211 136.495159 \nL 127.349006 137.039727 \nL 128.632963 137.922722 \nL 129.869478 139.059884 \nL 130.938948 140.346452 \nL 131.740292 141.668319 \nL 132.198545 142.911202 \nL 132.28994 143.642394 \nL 132.202597 144.261433 \nL 131.937041 144.742355 \nL 131.499894 145.062866 \nL 130.9037 145.205086 \nL 130.166829 145.156315 \nL 129.313306 144.909967 \nL 128.372531 144.466504 \nL 126.874224 143.452567 \nL 125.391305 142.082057 \nL 124.070185 140.467039 \nL 123.057189 138.761082 \nL 122.617868 137.662278 \nL 122.403 136.65956 \nL 122.432173 135.806282 \nL 122.71292 135.149193 \nL 123.239486 134.725007 \nL 123.992559 134.557678 \nL 124.940206 134.656993 \nL 126.039822 135.01838 \nL 127.240899 135.624034 \nL 128.488347 136.444958 \nL 130.3238 137.996123 \nL 131.958474 139.797071 \nL 132.860557 141.057501 \nL 133.569974 142.310567 \nL 134.059631 143.51069 \nL 134.310939 144.614753 \nL 134.313608 145.582599 \nL 134.065311 146.377472 \nL 133.571362 146.966443 \nL 132.844462 147.321073 \nL 131.904615 147.418273 \nL 130.779141 147.241498 \nL 129.502802 146.782277 \nL 128.117825 146.041931 \nL 126.673757 145.033449 \nL 125.22683 143.783193 \nL 123.838796 142.332096 \nL 122.574827 140.735971 \nL 121.500575 139.06438 \nL 120.67833 137.397894 \nL 120.162447 135.823495 \nL 119.994596 134.428432 \nL 120.199298 133.293162 \nL 120.443467 132.844493 \nL 120.78056 132.484348 \nL 121.207587 132.217951 \nL 121.720194 132.049046 \nL 122.978233 132.01104 \nL 124.495585 132.369832 \nL 126.198526 133.102402 \nL 128.004396 134.167028 \nL 129.827707 135.508353 \nL 131.585762 137.062636 \nL 133.203261 138.762461 \nL 134.615499 140.54038 \nL 135.770084 142.331351 \nL 136.627405 144.074047 \nL 137.160171 145.711357 \nL 137.352434 147.190337 \nL 137.198387 148.461986 \nL 136.701313 149.480992 \nL 136.327468 149.882621 \nL 135.872868 150.20583 \nL 134.732805 150.599263 \nL 133.309174 150.629485 \nL 131.638967 150.271969 \nL 129.769035 149.512079 \nL 127.757034 148.348404 \nL 125.672128 146.796587 \nL 123.594924 144.893199 \nL 121.616292 142.69893 \nL 119.834493 140.300155 \nL 118.350396 137.807752 \nL 117.260633 135.352319 \nL 116.649219 133.075409 \nL 116.543439 132.048147 \nL 116.578412 131.117211 \nL 116.75715 130.297606 \nL 117.080375 129.602494 \nL 117.546413 129.042845 \nL 118.15116 128.627172 \nL 118.888123 128.361307 \nL 119.748519 128.248332 \nL 120.721477 128.288599 \nL 121.794285 128.479822 \nL 122.952694 128.817281 \nL 125.463685 129.901527 \nL 128.123124 131.466249 \nL 130.797974 133.418084 \nL 133.363577 135.655926 \nL 135.711127 138.079218 \nL 137.75192 140.593374 \nL 139.418664 143.112385 \nL 140.664435 145.559211 \nL 141.460176 147.864845 \nL 141.791573 149.966615 \nL 141.78194 150.922763 \nL 141.655997 151.806417 \nL 141.414828 152.61077 \nL 141.059986 153.329125 \nL 140.593458 153.954878 \nL 140.017659 154.481522 \nL 139.335438 154.90265 \nL 138.550109 155.211994 \nL 137.665479 155.403465 \nL 136.68591 155.471214 \nL 135.61639 155.409734 \nL 134.462607 155.213981 \nL 133.23105 154.879502 \nL 131.929096 154.402632 \nL 130.565118 153.780663 \nL 127.69012 152.096869 \nL 124.696342 149.83522 \nL 121.694869 147.034817 \nL 118.817643 143.775288 \nL 116.214413 140.182856 \nL 115.065545 138.314408 \nL 114.045578 136.431427 \nL 113.174272 134.561994 \nL 112.470337 132.735774 \nL 111.950842 130.983315 \nL 111.630605 129.335139 \nL 111.521617 127.820798 \nL 111.632498 126.467878 \nL 111.968032 125.301033 \nL 112.528819 124.341126 \nL 113.311049 123.604471 \nL 114.306497 123.102354 \nL 115.502617 122.840745 \nL 116.88288 122.820294 \nL 118.427209 123.036558 \nL 120.112594 123.480491 \nL 121.913781 124.139079 \nL 123.804036 124.9961 \nL 125.755897 126.032953 \nL 127.741927 127.229454 \nL 131.710823 130.017414 \nL 135.515024 133.193907 \nL 138.991913 136.605556 \nL 142.017921 140.119569 \nL 144.508148 143.625335 \nL 145.535266 145.346039 \nL 146.411587 147.031863 \nL 147.13486 148.673762 \nL 147.704036 150.263319 \nL 148.119033 151.792612 \nL 148.380532 153.254054 \nL 148.489802 154.640288 \nL 148.448537 155.944051 \nL 148.258737 157.158083 \nL 147.922603 158.275042 \nL 147.44248 159.287429 \nL 146.820816 160.187517 \nL 146.060167 160.967309 \nL 145.163196 161.618532 \nL 144.132745 162.132586 \nL 142.971902 162.500602 \nL 141.684106 162.713465 \nL 140.273278 162.761902 \nL 138.743985 162.63657 \nL 137.101605 162.328262 \nL 135.352545 161.828081 \nL 133.504456 161.127753 \nL 131.566481 160.21994 \nL 129.549484 159.09869 \nL 127.46632 157.759891 \nL 125.332063 156.201858 \nL 123.164224 154.425942 \nL 120.98292 152.437206 \nL 118.810991 150.245087 \nL 116.67402 147.864082 \nL 114.600252 145.314318 \nL 112.620358 142.622 \nL 110.767069 139.819654 \nL 109.074567 136.946064 \nL 107.577742 134.045884 \nL 106.311249 131.168809 \nL 105.308327 128.368329 \nL 104.599587 125.700033 \nL 104.211616 123.21955 \nL 104.165679 120.980218 \nL 104.47645 119.030696 \nL 105.150977 117.412638 \nL 106.187929 116.158699 \nL 107.577233 115.291042 \nL 109.300146 114.820526 \nL 111.329764 114.746603 \nL 113.63197 115.057917 \nL 116.166735 115.733657 \nL 118.889712 116.74529 \nL 121.753913 118.058602 \nL 124.711479 119.635862 \nL 127.715286 121.437837 \nL 130.720408 123.425554 \nL 133.685277 125.561743 \nL 136.572569 127.81184 \nL 139.349766 130.144638 \nL 141.989429 132.532605 \nL 144.469214 134.951898 \nL 146.771682 137.382188 \nL 148.883936 139.806337 \nL 150.797155 142.210018 \nL 152.506061 144.581277 \nL 154.008356 146.910119 \nL 155.304159 149.188108 \nL 156.395476 151.408 \nL 157.285706 153.563441 \nL 157.979202 155.648675 \nL 158.480887 157.658332 \nL 158.795927 159.587199 \nL 158.929462 161.430084 \nL 158.886391 163.181635 \nL 158.67122 164.836217 \nL 158.287936 166.387794 \nL 157.739926 167.829812 \nL 157.029954 169.155106 \nL 156.160153 170.355777 \nL 155.132054 171.423118 \nL 153.946662 172.347494 \nL 152.604531 173.118285 \nL 151.105904 173.723802 \nL 149.450869 174.151259 \nL 147.639548 174.386714 \nL 145.672336 174.415112 \nL 143.550168 174.220344 \nL 141.274854 173.785393 \nL 138.84943 173.092542 \nL 136.2786 172.123737 \nL 133.569199 170.861063 \nL 130.730726 169.2874 \nL 127.77592 167.387274 \nL 124.721348 165.147934 \nL 121.588039 162.560626 \nL 118.402081 159.622148 \nL 115.195138 156.336559 \nL 112.004876 152.717056 \nL 108.875202 148.787816 \nL 105.856204 144.585773 \nL 103.003772 140.162003 \nL 100.378737 135.582482 \nL 98.045503 130.927976 \nL 96.070118 126.292755 \nL 94.517761 121.781899 \nL 93.44972 117.507183 \nL 92.920068 113.581625 \nL 92.97214 110.113001 \nL 93.635263 107.196986 \nL 94.921965 104.910655 \nL 96.82611 103.307088 \nL 99.322138 102.412026 \nL 102.365679 102.22285 \nL 105.895451 102.710117 \nL 109.836413 103.821468 \nL 114.103726 105.487124 \nL 118.607178 107.626344 \nL 123.25568 110.153765 \nL 127.961341 112.985152 \nL 132.642885 116.041854 \nL 137.228179 119.253853 \nL 141.655857 122.5614 \nL 145.876046 125.915482 \nL 149.850352 129.277341 \nL 153.551243 132.617439 \nL 156.961026 135.914084 \nL 160.070555 139.15198 \nL 162.877853 142.320826 \nL 165.386707 145.414096 \nL 167.60534 148.427988 \nL 169.545212 151.360582 \nL 171.219957 154.211212 \nL 172.644487 156.979971 \nL 173.834247 159.667365 \nL 174.804617 162.274062 \nL 175.570438 164.80072 \nL 176.145666 167.247872 \nL 176.543107 169.615842 \nL 176.774243 171.904682 \nL 176.849113 174.114143 \nL 176.776254 176.243618 \nL 176.562677 178.292087 \nL 176.213867 180.258095 \nL 175.733812 182.13968 \nL 175.125043 183.934299 \nL 174.388678 185.638749 \nL 173.524476 187.24909 \nL 172.530899 188.760519 \nL 171.405169 190.167234 \nL 170.143331 191.462296 \nL 168.740317 192.637456 \nL 167.19002 193.682963 \nL 165.48538 194.587342 \nL 163.618476 195.337156 \nL 161.580647 195.916759 \nL 159.362652 196.308004 \nL 156.954841 196.489969 \nL 154.347421 196.43868 \nL 151.530753 196.126844 \nL 148.495759 195.523656 \nL 145.234421 194.594694 \nL 141.740425 193.301948 \nL 138.009931 191.604088 \nL 134.042559 189.457045 \nL 129.84254 186.815005 \nL 125.42009 183.631994 \nL 120.793021 179.864191 \nL 115.988507 175.473058 \nL 111.045033 170.429547 \nL 106.014376 164.719286 \nL 100.96345 158.348786 \nL 95.975864 151.352369 \nL 91.15276 143.799241 \nL 86.612646 135.79985 \nL 82.489722 127.510229 \nL 78.930298 119.132829 \nL 76.086974 110.91213 \nL 74.110433 103.123804 \nL 73.139163 96.056984 \nL 73.287824 89.990509 \nL 74.635471 85.165813 \nL 77.215345 81.760733 \nL 81.007936 79.869042 \nL 85.938887 79.490348 \nL 91.882515 80.532725 \nL 98.670747 82.827671 \nL 106.106265 86.154272 \nL 113.977874 90.267156 \nL 122.075777 94.923041 \nL 130.204814 99.90151 \nL 138.194329 105.0182 \nL 145.904097 110.130163 \nL 153.226574 115.135026 \nL 160.086111 119.966162 \nL 166.436067 124.585762 \nL 172.254695 128.977563 \nL 177.540533 133.14022 \nL 182.307875 137.081836 \nL 186.582591 140.815795 \nL 190.398546 144.357777 \nL 193.79463 147.72378 \nL 196.812393 150.928937 \nL 199.494238 153.986813 \nL 201.882087 156.909148 \nL 205.935723 162.384835 \nL 209.270634 167.414191 \nL 217.333963 180.076986 \nL 219.984381 183.488575 \nL 221.384121 185.030449 \nL 222.853748 186.45593 \nL 224.407477 187.758118 \nL 226.05896 188.92868 \nL 227.821413 189.957693 \nL 229.707697 190.833451 \nL 231.730369 191.542253 \nL 233.901683 192.068194 \nL 236.233533 192.392928 \nL 238.737354 192.495442 \nL 241.423924 192.351873 \nL 244.303099 191.935343 \nL 247.383441 191.215884 \nL 250.671736 190.160485 \nL 254.172362 188.733338 \nL 257.886521 186.896293 \nL 261.811293 184.609714 \nL 265.938506 181.833761 \nL 270.253451 178.530214 \nL 274.733395 174.665048 \nL 279.345995 170.211724 \nL 284.047672 165.155376 \nL 288.782019 159.49774 \nL 293.478503 153.262755 \nL 298.051598 146.502384 \nL 302.400734 139.302036 \nL 306.411347 131.784688 \nL 309.957412 124.112599 \nL 312.905702 116.485257 \nL 315.121995 109.13254 \nL 316.479024 102.302477 \nL 316.865848 96.24371 \nL 316.197745 91.184433 \nL 314.425427 87.310258 \nL 311.542287 84.74483 \nL 307.588232 83.536759 \nL 302.649289 83.655866 \nL 296.852627 84.999468 \nL 290.357511 87.407612 \nL 283.343501 90.684028 \nL 275.997523 94.618579 \nL 268.501592 99.007494 \nL 261.02254 103.668551 \nL 253.704708 108.450188 \nL 246.665715 113.234788 \nL 239.995168 117.937484 \nL 233.755645 122.502069 \nL 227.985279 126.895497 \nL 222.701242 131.102173 \nL 217.903595 135.118774 \nL 213.579067 138.94995 \nL 209.70453 142.605001 \nL 206.250005 146.095498 \nL 203.181179 149.433634 \nL 200.461412 152.631229 \nL 198.0533 155.699133 \nL 195.919839 158.646937 \nL 194.025252 161.482931 \nL 190.818886 166.846226 \nL 188.188758 171.831375 \nL 180.803099 186.590126 \nL 178.626677 190.049613 \nL 177.456732 191.645139 \nL 176.215938 193.146266 \nL 174.892341 194.548069 \nL 173.474067 195.844476 \nL 171.949193 197.028093 \nL 170.305657 198.090008 \nL 168.531182 199.019565 \nL 166.613218 199.804114 \nL 164.538936 200.42872 \nL 162.295249 200.875852 \nL 159.868891 201.125044 \nL 157.246539 201.152555 \nL 154.415038 200.931004 \nL 151.361683 200.429062 \nL 148.07465 199.611174 \nL 144.543536 198.437423 \nL 140.76008 196.863542 \nL 136.71907 194.841235 \nL 132.419487 192.31888 \nL 127.865901 189.242785 \nL 123.07013 185.559199 \nL 118.053189 181.217231 \nL 112.847474 176.17294 \nL 107.499143 170.394692 \nL 102.070509 163.869896 \nL 96.642278 156.612992 \nL 91.315281 148.674182 \nL 86.211301 140.148232 \nL 81.472416 131.18186 \nL 77.258332 121.977995 \nL 73.741135 112.794691 \nL 71.097077 103.936618 \nL 69.495476 95.737757 \nL 69.085228 88.535268 \nL 69.980172 82.636954 \nL 72.245283 78.28673 \nL 75.885891 75.634756 \nL 80.84226 74.718628 \nL 86.990947 75.460447 \nL 94.15342 77.680905 \nL 102.110698 81.127126 \nL 110.621738 85.50794 \nL 119.442599 90.528868 \nL 128.343572 95.920647 \nL 137.122259 101.457771 \nL 153.683866 112.324346 \nL 168.250686 122.313613 \nL 174.664355 126.888629 \nL 180.487925 131.18186 \nL 185.738109 135.207162 \nL 190.445001 138.984043 \nL 194.647769 142.534024 \nL 198.391154 145.878301 \nL 201.722713 149.036339 \nL 204.690748 152.025198 \nL 209.724618 157.550256 \nL 213.847722 162.537889 \nL 222.093224 172.905207 \nL 225.170746 176.218158 \nL 226.753032 177.683684 \nL 228.38885 179.013919 \nL 230.094729 180.201119 \nL 231.885929 181.236063 \nL 233.776561 182.107908 \nL 235.779666 182.804082 \nL 237.907271 183.310181 \nL 240.170348 183.609848 \nL 242.578737 183.684679 \nL 245.140987 183.514207 \nL 247.864131 183.075899 \nL 250.75335 182.34529 \nL 253.811548 181.296233 \nL 257.038833 179.901324 \nL 260.43187 178.132585 \nL 263.983124 175.962406 \nL 267.679994 173.364873 \nL 271.503863 170.317514 \nL 275.429073 166.803484 \nL 279.421888 162.814236 \nL 283.439549 158.352657 \nL 287.429453 153.436481 \nL 291.328706 148.101867 \nL 295.064084 142.406713 \nL 298.55274 136.433285 \nL 301.703694 130.289513 \nL 304.420398 124.108352 \nL 306.604409 118.044575 \nL 308.160157 112.268578 \nL 309.000618 106.957146 \nL 309.053519 102.281753 \nL 308.267503 98.3954 \nL 306.617509 95.419746 \nL 304.108654 93.434384 \nL 300.777882 92.470229 \nL 296.693049 92.507996 \nL 291.949327 93.482359 \nL 286.66331 95.29074 \nL 280.965555 97.805332 \nL 274.992428 100.886167 \nL 268.878273 104.39326 \nL 262.748624 108.196407 \nL 256.715031 112.181792 \nL 250.871743 116.255437 \nL 245.294126 120.343854 \nL 240.038627 124.392732 \nL 235.143911 128.364381 \nL 230.632738 132.234634 \nL 226.514305 135.989745 \nL 222.786715 139.623567 \nL 219.439387 143.135173 \nL 216.455276 146.527014 \nL 213.812814 149.803499 \nL 211.487565 152.970033 \nL 209.45356 156.032336 \nL 207.684371 158.996043 \nL 206.153925 161.866464 \nL 204.837106 164.648446 \nL 203.710173 167.346382 \nL 202.751036 169.964194 \nL 201.256902 174.973082 \nL 200.214877 179.69896 \nL 199.513955 184.161387 \nL 199.068972 188.376952 \nL 198.748015 194.268822 \nL 198.723052 199.680867 \nL 198.917312 204.651072 \nL 199.299724 209.213033 \nL 199.872611 213.395961 \nL 200.6653 217.224037 \nL 201.341803 219.587982 \nL 202.162626 221.805279 \nL 203.156773 223.876524 \nL 204.360409 225.798939 \nL 205.818203 227.564978 \nL 207.585019 229.16029 \nL 209.727951 230.560691 \nL 210.965354 231.176493 \nL 212.328712 231.727696 \nL 213.830963 232.206183 \nL 215.48629 232.601969 \nL 217.310221 232.902822 \nL 219.31969 233.0938 \nL 221.533099 233.15671 \nL 223.970351 233.069464 \nL 226.652838 232.805335 \nL 229.603373 232.332097 \nL 232.846042 231.611054 \nL 236.40593 230.595961 \nL 240.308699 229.23188 \nL 244.579942 227.454025 \nL 249.24425 225.186693 \nL 254.323916 222.342443 \nL 259.837136 218.821798 \nL 265.795646 214.513807 \nL 272.201617 209.297999 \nL 279.043664 203.048395 \nL 286.291966 195.640442 \nL 293.892385 186.96179 \nL 301.759751 176.927846 \nL 309.770691 165.502726 \nL 317.756663 152.725372 \nL 325.498436 138.739142 \nL 332.72374 123.820982 \nL 339.11024 108.403293 \nL 344.296491 93.078898 \nL 347.902893 78.578279 \nL 349.563425 65.71067 \nL 348.966562 55.268177 \nL 345.900198 47.905184 \nL 340.291922 44.019551 \nL 332.234566 43.670333 \nL 321.988097 46.561924 \nL 309.954675 52.104101 \nL 296.630993 59.530501 \nL 282.548848 68.037713 \nL 254.079716 85.566996 \nL 240.485129 93.640431 \nL 227.683946 100.906926 \nL 215.833107 107.279216 \nL 205.011196 112.760504 \nL 195.23624 117.408716 \nL 186.48298 121.309328 \nL 178.697698 124.557056 \nL 171.809924 127.244775 \nL 165.741104 129.457705 \nL 155.740021 132.749074 \nL 148.087412 134.909953 \nL 142.263295 136.280395 \nL 137.849896 137.099494 \nL 134.523773 137.537759 \nL 131.054642 137.745561 \nL 128.423099 137.622653 \nL 127.166558 137.443925 \nL 127.301868 137.580125 \nL 128.600263 138.690987 \nL 129.510626 139.727412 \nL 130.252758 140.88529 \nL 130.660102 141.990843 \nL 130.684325 142.681451 \nL 130.449652 143.181058 \nL 130.15303 143.381864 \nL 129.518791 143.456652 \nL 128.699854 143.242847 \nL 127.761527 142.74359 \nL 126.784745 141.989002 \nL 125.860719 141.037248 \nL 125.083408 139.972527 \nL 124.539911 138.898866 \nL 124.299627 137.929462 \nL 124.329689 137.395325 \nL 124.51714 136.983968 \nL 124.857745 136.717503 \nL 125.339453 136.610926 \nL 125.942892 136.671241 \nL 127.018718 137.069718 \nL 128.204004 137.802246 \nL 129.381892 138.799226 \nL 130.437685 139.968143 \nL 131.270513 141.204038 \nL 131.801701 142.398809 \nL 131.979717 143.448559 \nL 131.889941 144.020909 \nL 131.633379 144.462445 \nL 131.216524 144.752434 \nL 130.65151 144.874435 \nL 129.956022 144.817057 \nL 129.153066 144.574794 \nL 127.809768 143.869457 \nL 126.402141 142.78927 \nL 125.060599 141.412893 \nL 123.922938 139.860443 \nL 123.120378 138.285813 \nL 122.826075 137.308436 \nL 122.75152 136.448195 \nL 122.908605 135.751216 \nL 123.297443 135.255805 \nL 123.90574 134.989674 \nL 124.709175 134.968118 \nL 125.672706 135.193288 \nL 126.752797 135.654598 \nL 127.900182 136.330193 \nL 129.633832 137.675466 \nL 131.231061 139.300469 \nL 132.541043 141.05763 \nL 133.194939 142.228131 \nL 133.642453 143.347429 \nL 133.866079 144.374699 \nL 133.856169 145.271919 \nL 133.610688 146.004378 \nL 133.134944 146.541179 \nL 132.441391 146.855901 \nL 131.549534 146.927478 \nL 130.48588 146.741333 \nL 129.28402 146.290788 \nL 127.984507 145.578634 \nL 126.634602 144.61871 \nL 125.287532 143.437349 \nL 124.001256 142.074307 \nL 122.836422 140.582737 \nL 121.853535 139.027984 \nL 121.109403 137.484869 \nL 120.653005 136.033378 \nL 120.52123 134.75314 \nL 120.735033 133.717074 \nL 120.972968 133.310042 \nL 121.296512 132.985283 \nL 121.702768 132.747473 \nL 122.745666 132.54468 \nL 124.054895 132.711821 \nL 125.56834 133.237634 \nL 127.213179 134.091992 \nL 128.911247 135.229822 \nL 130.584338 136.595768 \nL 132.158888 138.12864 \nL 133.56951 139.76523 \nL 134.761316 141.443098 \nL 135.690975 143.102382 \nL 136.326841 144.686707 \nL 136.648389 146.143541 \nL 136.645302 147.424165 \nL 136.31655 148.483627 \nL 135.669622 149.280778 \nL 134.720112 149.778673 \nL 133.491687 149.945463 \nL 132.016462 149.75585 \nL 130.335623 149.193246 \nL 128.500162 148.252497 \nL 126.571474 146.943149 \nL 124.621407 145.292806 \nL 122.73141 143.350126 \nL 120.990417 141.186593 \nL 119.491045 138.896263 \nL 118.324105 136.592616 \nL 117.571518 134.401961 \nL 117.29842 132.453698 \nL 117.355503 131.60882 \nL 117.545379 130.868354 \nL 117.868269 130.243962 \nL 118.322212 129.745322 \nL 118.903085 129.379885 \nL 119.604618 129.152711 \nL 120.418507 129.066404 \nL 121.33461 129.121145 \nL 122.341143 129.314774 \nL 124.571912 130.099438 \nL 126.99502 131.364271 \nL 129.488136 133.03151 \nL 131.932061 135.011289 \nL 134.218628 137.210003 \nL 136.255959 139.536472 \nL 137.971053 141.905581 \nL 139.310006 144.239793 \nL 140.236556 146.469054 \nL 140.729691 148.529778 \nL 140.780981 150.363465 \nL 140.641143 151.177923 \nL 140.3922 151.91529 \nL 140.03567 152.569124 \nL 139.573547 153.133132 \nL 139.008279 153.601139 \nL 138.342773 153.967133 \nL 137.580428 154.225308 \nL 136.725171 154.370089 \nL 135.7815 154.396217 \nL 134.754553 154.298855 \nL 133.650174 154.073685 \nL 131.236512 153.226161 \nL 128.60446 151.835586 \nL 125.834322 149.903688 \nL 123.024618 147.459294 \nL 120.292427 144.565682 \nL 117.771324 141.32639 \nL 115.605971 137.887293 \nL 114.702717 136.149179 \nL 113.942771 134.43268 \nL 113.34254 132.764883 \nL 112.916752 131.173348 \nL 112.677928 129.685332 \nL 112.635876 128.326948 \nL 112.797256 127.122329 \nL 113.165194 126.092789 \nL 113.739042 125.256133 \nL 114.514217 124.626072 \nL 115.482218 124.211837 \nL 116.630789 124.017977 \nL 117.944208 124.044414 \nL 119.403702 124.286651 \nL 120.988029 124.736212 \nL 122.674038 125.3812 \nL 124.437362 126.206945 \nL 126.253062 127.196706 \nL 129.942823 129.594992 \nL 133.555232 132.425505 \nL 136.92649 135.541778 \nL 139.925397 138.811558 \nL 142.455707 142.12098 \nL 144.45381 145.37424 \nL 145.883569 148.490658 \nL 146.379962 149.975487 \nL 146.729915 151.400652 \nL 146.933807 152.758523 \nL 146.992609 154.041664 \nL 146.907737 155.242764 \nL 146.680963 156.354509 \nL 146.314326 157.369542 \nL 145.810075 158.280395 \nL 145.170655 159.07943 \nL 144.398704 159.758819 \nL 143.497073 160.310546 \nL 142.468894 160.72639 \nL 141.317647 160.997976 \nL 140.047272 161.116851 \nL 138.662287 161.074546 \nL 137.167949 160.862753 \nL 135.570407 160.473491 \nL 133.876906 159.899335 \nL 132.095974 159.133707 \nL 130.237643 158.171231 \nL 128.313654 157.008138 \nL 126.33766 155.642731 \nL 124.325408 154.075903 \nL 122.294894 152.311711 \nL 120.266463 150.357924 \nL 118.26284 148.226582 \nL 116.309078 145.934523 \nL 114.432364 143.503754 \nL 112.661741 140.961723 \nL 111.027645 138.341316 \nL 109.561285 135.680607 \nL 108.293887 133.022304 \nL 107.255757 130.412773 \nL 106.475237 127.900767 \nL 105.977578 125.535795 \nL 105.783786 123.366284 \nL 105.909547 121.437529 \nL 106.364226 119.789746 \nL 107.150144 118.456223 \nL 108.262099 117.461863 \nL 109.687236 116.822194 \nL 111.405314 116.542909 \nL 113.389291 116.620103 \nL 115.606306 117.040932 \nL 118.018861 117.784918 \nL 120.586236 118.82548 \nL 123.265944 120.13165 \nL 126.015211 121.669858 \nL 128.792291 123.405549 \nL 131.557639 125.304587 \nL 134.274856 127.33437 \nL 136.911349 129.464616 \nL 139.438766 131.667868 \nL 141.833177 133.919704 \nL 144.075057 136.198772 \nL 146.149106 138.486627 \nL 148.043912 140.767477 \nL 149.751562 143.027859 \nL 151.267178 145.256315 \nL 152.588435 147.443014 \nL 153.715091 149.579434 \nL 154.648536 151.658074 \nL 155.391364 153.672168 \nL 155.947004 155.615447 \nL 156.3194 157.481951 \nL 156.512729 159.265839 \nL 156.531173 160.96122 \nL 156.378753 162.562022 \nL 156.059178 164.061881 \nL 155.575763 165.454006 \nL 154.931385 166.731102 \nL 154.128452 167.885246 \nL 153.168925 168.907815 \nL 152.054377 169.789406 \nL 150.786067 170.519775 \nL 149.365059 171.087783 \nL 147.792371 171.481361 \nL 146.06915 171.687545 \nL 144.196902 171.692478 \nL 142.177743 171.481524 \nL 140.014698 171.039457 \nL 137.71205 170.350673 \nL 135.275717 169.399578 \nL 132.713691 168.171048 \nL 130.036492 166.651098 \nL 127.257679 164.827636 \nL 124.394344 162.69149 \nL 121.467647 160.23753 \nL 118.503261 157.466031 \nL 115.531789 154.384108 \nL 112.589034 151.007288 \nL 109.716089 147.360955 \nL 106.959196 143.481702 \nL 104.36924 139.418274 \nL 102.000919 135.231963 \nL 99.911421 130.996238 \nL 98.158681 126.795334 \nL 96.799158 122.721801 \nL 95.885275 118.872889 \nL 95.462596 115.345919 \nL 95.566969 112.233021 \nL 96.221865 109.615526 \nL 97.43621 107.558844 \nL 99.202916 106.108278 \nL 101.498424 105.286352 \nL 104.283236 105.092089 \nL 107.503567 105.50223 \nL 111.09392 106.474229 \nL 114.980347 107.950589 \nL 119.084081 109.863946 \nL 123.325239 112.142193 \nL 127.626225 114.713101 \nL 131.914643 117.508125 \nL 136.125484 120.46511 \nL 140.202643 123.529862 \nL 144.099657 126.656822 \nL 147.779849 129.8089 \nL 151.215942 132.956842 \nL 154.389302 136.078244 \nL 157.288937 139.156425 \nL 159.910365 142.179317 \nL 162.254441 145.138451 \nL 164.326231 148.028046 \nL 166.133952 150.844275 \nL 167.688031 153.584654 \nL 169.000289 156.24758 \nL 170.083248 158.832002 \nL 170.949569 161.337114 \nL 171.611589 163.762188 \nL 172.080977 166.106419 \nL 172.36846 168.368822 \nL 172.483641 170.54813 \nL 172.434862 172.642733 \nL 172.229126 174.650584 \nL 171.872055 176.569148 \nL 171.36788 178.395307 \nL 170.719452 180.125303 \nL 169.928283 181.754605 \nL 168.994582 183.277818 \nL 167.917321 184.688553 \nL 166.694298 185.9793 \nL 165.322225 187.141254 \nL 163.796815 188.164157 \nL 162.112889 189.036088 \nL 160.264518 189.743283 \nL 158.245161 190.269919 \nL 156.047868 190.597898 \nL 153.665512 190.706646 \nL 151.091067 190.572943 \nL 148.317975 190.170792 \nL 145.340585 189.471376 \nL 142.154687 188.443142 \nL 138.758183 187.052036 \nL 135.151865 185.262033 \nL 131.340361 183.035949 \nL 127.33323 180.336711 \nL 123.146205 177.129122 \nL 118.802605 173.382309 \nL 114.334795 169.072832 \nL 109.785725 164.188575 \nL 105.210348 158.733312 \nL 100.676788 152.731838 \nL 96.267057 146.235191 \nL 92.077029 139.325535 \nL 88.215365 132.119741 \nL 84.801089 124.770741 \nL 81.959598 117.465512 \nL 79.81691 110.418697 \nL 78.492322 103.861427 \nL 78.089882 98.02556 \nL 78.689345 93.12456 \nL 80.33775 89.333626 \nL 83.042807 86.772035 \nL 86.769229 85.491035 \nL 91.438928 85.46983 \nL 96.935304 86.620541 \nL 103.111232 88.801176 \nL 109.799623 91.834036 \nL 116.825197 95.525869 \nL 124.015839 99.686437 \nL 131.212236 104.142973 \nL 138.275008 108.749239 \nL 145.089014 113.389469 \nL 151.565005 117.978008 \nL 157.63908 122.456133 \nL 163.270595 126.787387 \nL 168.439116 130.952477 \nL 173.140945 134.944508 \nL 177.385616 138.764927 \nL 181.192631 142.42033 \nL 184.58857 145.920075 \nL 187.604648 149.274637 \nL 190.274731 152.494524 \nL 192.633779 155.589635 \nL 194.716652 158.568929 \nL 196.557258 161.440283 \nL 199.63915 166.88526 \nL 202.113967 171.967164 \nL 205.115648 178.970894 \nL 208.591169 187.234104 \nL 210.370976 190.916144 \nL 212.308236 194.291259 \nL 214.489812 197.342528 \nL 215.698709 198.738169 \nL 217.000619 200.040721 \nL 218.406541 201.24394 \nL 219.927835 202.340227 \nL 221.576297 203.320392 \nL 223.36422 204.173418 \nL 225.304431 204.886163 \nL 227.410288 205.443037 \nL 229.695665 205.825637 \nL 232.174857 206.012342 \nL 234.862457 205.977902 \nL 237.773132 205.692995 \nL 240.921323 205.123797 \nL 244.320803 204.231618 \nL 247.984106 202.972609 \nL 251.921761 201.297674 \nL 256.1413 199.152669 \nL 260.646018 196.479003 \nL 265.433426 193.214884 \nL 270.493347 189.29738 \nL 275.805724 184.665602 \nL 281.338023 179.265191 \nL 287.04247 173.054476 \nL 292.853053 166.012328 \nL 298.682765 158.147689 \nL 304.42125 149.510272 \nL 309.933524 140.201594 \nL 315.06035 130.384581 \nL 319.621023 120.289542 \nL 323.419301 110.213626 \nL 326.253014 100.510984 \nL 327.927383 91.571554 \nL 328.271341 83.788537 \nL 327.155394 77.517438 \nL 324.508501 73.03295 \nL 320.330888 70.492169 \nL 314.700145 69.913166 \nL 307.768414 71.174607 \nL 299.750669 74.037269 \nL 290.9057 78.182251 \nL 281.513059 83.256601 \nL 271.849912 88.916154 \nL 262.171316 94.85799 \nL 243.598803 106.681886 \nL 227.009723 117.536523 \nL 212.944081 127.024058 \nL 201.438858 135.186155 \nL 196.571669 138.832008 \nL 192.233198 142.225348 \nL 184.930658 148.355751 \nL 179.102918 153.745997 \nL 174.346118 158.508939 \nL 166.68412 166.370931 \nL 163.236191 169.490895 \nL 161.513973 170.839019 \nL 159.764251 172.038432 \nL 157.96836 173.081743 \nL 156.109677 173.96013 \nL 154.173477 174.663344 \nL 152.146833 175.179668 \nL 150.018567 175.495949 \nL 147.779275 175.59762 \nL 145.421389 175.468759 \nL 142.939331 175.09224 \nL 140.329726 174.449941 \nL 137.591696 173.523082 \nL 134.727228 172.292711 \nL 131.741615 170.740338 \nL 128.643965 168.848819 \nL 125.447772 166.603423 \nL 122.171513 163.993207 \nL 118.839266 161.012612 \nL 115.48126 157.663317 \nL 112.134347 153.956266 \nL 108.842296 149.913776 \nL 105.655828 145.571543 \nL 102.632276 140.980332 \nL 99.834776 136.207079 \nL 97.330931 131.335033 \nL 95.190798 126.462679 \nL 93.484276 121.701125 \nL 92.277907 117.169835 \nL 91.631222 112.990855 \nL 91.592873 109.28174 \nL 92.196943 106.147912 \nL 93.459749 103.675266 \nL 95.377557 101.923988 \nL 97.925589 100.924396 \nL 101.058456 100.675616 \nL 104.712164 101.14704 \nL 108.807399 102.282506 \nL 113.253867 104.006465 \nL 117.955202 106.231118 \nL 122.813895 108.863686 \nL 127.735814 111.812758 \nL 132.634012 114.993311 \nL 137.431505 118.330129 \nL 142.063056 121.759513 \nL 146.47595 125.22973 \nL 150.629928 128.700402 \nL 154.4965 132.141236 \nL 158.057764 135.530465 \nL 161.304991 138.853187 \nL 164.237083 142.099793 \nL 166.859058 145.264614 \nL 169.180587 148.344781 \nL 171.214711 151.339318 \nL 172.976702 154.248473 \nL 174.483112 157.073197 \nL 175.750983 159.814809 \nL 176.797228 162.474722 \nL 177.638144 165.054322 \nL 178.289048 167.554827 \nL 178.764024 169.977237 \nL 179.075745 172.322299 \nL 179.235364 174.590466 \nL 179.252459 176.781857 \nL 179.135024 178.89626 \nL 178.889473 180.933082 \nL 178.520682 182.891305 \nL 178.032027 184.769456 \nL 177.425442 186.565531 \nL 176.701473 188.276926 \nL 175.859339 189.900358 \nL 174.896981 191.431736 \nL 173.811119 192.866069 \nL 172.597305 194.197297 \nL 171.249973 195.418145 \nL 169.762493 196.519925 \nL 168.127231 197.492314 \nL 166.335619 198.323125 \nL 164.378239 198.998022 \nL 162.244937 199.500234 \nL 159.924966 199.810228 \nL 157.407171 199.905386 \nL 154.680237 199.759672 \nL 151.733026 199.343313 \nL 148.554986 198.622561 \nL 145.136696 197.559515 \nL 141.470573 196.112148 \nL 137.551727 194.234549 \nL 133.379034 191.877545 \nL 128.956461 188.989817 \nL 124.294609 185.519685 \nL 119.412544 181.41772 \nL 114.339843 176.640433 \nL 109.118831 171.155138 \nL 103.806872 164.946058 \nL 98.478537 158.02168 \nL 93.227349 150.422898 \nL 88.166767 142.231359 \nL 83.429873 133.576806 \nL 79.16726 124.641864 \nL 75.542618 115.662252 \nL 72.725585 106.920544 \nL 70.881799 98.731823 \nL 70.160606 91.421018 \nL 70.681332 85.293552 \nL 72.519811 80.602846 \nL 75.69727 77.520521 \nL 80.173648 76.115258 \nL 85.847051 76.345592 \nL 92.560007 78.068523 \nL 100.111797 81.062229 \nL 108.27507 85.057651 \nL 116.81402 89.772011 \nL 125.501449 94.938045 \nL 134.132547 100.324668 \nL 142.534219 105.747859 \nL 158.139393 116.209449 \nL 171.65068 125.736694 \nL 177.547536 130.099061 \nL 182.878372 134.201335 \nL 187.667645 138.059556 \nL 191.950097 141.693069 \nL 195.767105 145.12182 \nL 199.163773 148.364709 \nL 202.186695 151.438676 \nL 207.295659 157.135705 \nL 211.444854 162.300824 \nL 221.014783 175.006781 \nL 223.989033 178.325717 \nL 225.533116 179.799988 \nL 227.138296 181.142691 \nL 228.820352 182.346009 \nL 230.594008 183.400624 \nL 232.473056 184.295583 \nL 234.470426 185.018134 \nL 236.598231 185.553598 \nL 238.867726 185.885226 \nL 241.289233 185.994072 \nL 243.871973 185.8589 \nL 246.623834 185.456167 \nL 249.551033 184.76007 \nL 252.657686 183.742742 \nL 255.945258 182.374621 \nL 259.411899 180.625057 \nL 263.05164 178.463193 \nL 266.853469 175.859289 \nL 270.800286 172.786426 \nL 274.867777 169.222786 \nL 279.023234 165.154442 \nL 283.224416 160.578724 \nL 287.418527 155.508013 \nL 291.54152 149.973818 \nL 295.517821 144.030723 \nL 299.26078 137.759769 \nL 302.673999 131.270556 \nL 305.653804 124.701323 \nL 308.092977 118.21622 \nL 309.885792 111.99921 \nL 310.934179 106.244341 \nL 311.15465 101.142895 \nL 310.485369 96.868445 \nL 308.892572 93.561797 \nL 306.375355 91.317995 \nL 302.968112 90.177732 \nL 298.740001 90.124791 \nL 293.791288 91.08999 \nL 288.246983 92.961007 \nL 282.248493 95.596076 \nL 275.944386 98.839128 \nL 269.481446 102.534096 \nL 262.996899 106.536232 \nL 256.612467 110.719888 \nL 250.430604 114.98228 \nL 244.532743 119.244176 \nL 238.979307 123.448129 \nL 233.811036 127.555361 \nL 229.051208 131.542091 \nL 224.708281 135.395909 \nL 220.7787 139.112501 \nL 217.249597 142.692978 \nL 214.10124 146.141811 \nL 211.309179 149.465295 \nL 208.846021 152.670503 \nL 206.682878 155.764587 \nL 204.790503 158.754371 \nL 203.140136 161.64615 \nL 201.704126 164.445576 \nL 200.456353 167.157677 \nL 198.430154 172.337029 \nL 196.890355 177.213596 \nL 195.696576 181.81045 \nL 194.315224 188.22109 \nL 191.699053 201.154713 \nL 190.418728 205.909832 \nL 189.409458 208.832133 \nL 188.228384 211.557409 \nL 186.830807 214.081935 \nL 185.165758 216.395992 \nL 183.173707 218.481525 \nL 182.033539 219.42985 \nL 180.78423 220.308678 \nL 179.414879 221.111627 \nL 177.913611 221.830838 \nL 176.267494 222.456698 \nL 174.462491 222.97751 \nL 172.483401 223.379091 \nL 170.313833 223.644302 \nL 167.936196 223.752523 \nL 165.331749 223.679024 \nL 162.480693 223.394275 \nL 159.362336 222.863174 \nL 155.955394 222.044202 \nL 152.238399 220.888581 \nL 148.190325 219.339437 \nL 143.791448 217.331098 \nL 139.024507 214.78866 \nL 133.87629 211.628014 \nL 128.339664 207.756635 \nL 122.416199 203.075551 \nL 116.119429 197.482941 \nL 109.478831 190.879996 \nL 102.544455 183.179693 \nL 95.392139 174.319068 \nL 88.128973 164.275241 \nL 80.898408 153.085046 \nL 73.88423 140.866784 \nL 67.312066 127.841471 \nL 61.446825 114.348708 \nL 56.58449 100.850918 \nL 53.036631 87.918669 \nL 51.107122 76.191271 \nL 51.062158 66.311476 \nL 53.096618 58.84087 \nL 57.302529 54.171779 \nL 63.646391 52.457789 \nL 71.96199 53.584572 \nL 81.962122 57.192136 \nL 93.268336 62.7437 \nL 105.452609 69.620933 \nL 118.082186 77.218764 \nL 143.146154 92.620285 \nL 154.984085 99.762485 \nL 166.090216 106.294183 \nL 176.353221 112.15545 \nL 185.721137 117.348324 \nL 201.781761 125.907544 \nL 219.885417 135.124058 \nL 235.722234 142.932064 \nL 243.652282 146.599139 \nL 247.81402 148.254252 \nL 251.408246 149.349854 \nL 253.058019 149.697932 \nL 254.636302 149.916114 \nL 256.158601 150.006078 \nL 257.637152 149.969244 \nL 259.081185 149.807036 \nL 260.497168 149.521097 \nL 261.889011 149.113525 \nL 263.258288 148.587079 \nL 265.924813 147.193103 \nL 268.469196 145.381862 \nL 270.837669 143.217952 \nL 272.956424 140.791259 \nL 274.738937 138.217388 \nL 276.094887 135.634156 \nL 276.940465 133.193556 \nL 277.150177 132.07514 \nL 277.209427 131.049394 \nL 277.114398 130.133351 \nL 276.863561 129.342238 \nL 276.457837 128.689063 \nL 275.9007 128.184266 \nL 275.198179 127.835442 \nL 274.358789 127.647217 \nL 273.393366 127.621208 \nL 272.314818 127.756098 \nL 271.137842 128.047835 \nL 269.878556 128.489893 \nL 267.182289 129.788587 \nL 264.368389 131.564314 \nL 261.577084 133.713691 \nL 258.936299 136.128805 \nL 256.554692 138.705289 \nL 254.518278 141.347037 \nL 252.8901 143.968001 \nL 251.712178 146.491876 \nL 251.00871 148.850529 \nL 250.789662 150.981931 \nL 250.861844 151.944184 \nL 251.054062 152.828104 \nL 251.364898 153.626805 \nL 251.792511 154.33347 \nL 252.334647 154.941342 \nL 252.988661 155.443724 \nL 253.751474 155.834005 \nL 254.619549 156.105669 \nL 255.588846 156.252368 \nL 256.654743 156.268005 \nL 257.811951 156.146835 \nL 259.054427 155.883599 \nL 260.375258 155.473689 \nL 261.766565 154.913355 \nL 263.219369 154.199908 \nL 264.723492 153.332011 \nL 266.267463 152.309947 \nL 269.422044 149.814384 \nL 272.562758 146.759669 \nL 274.084041 145.049284 \nL 275.546607 143.237409 \nL 276.929654 141.343603 \nL 278.21168 139.390741 \nL 279.370903 137.404805 \nL 280.3857 135.414553 \nL 281.235193 133.450943 \nL 281.899852 131.546424 \nL 282.362127 129.734061 \nL 282.607162 128.046499 \nL 282.623387 126.514893 \nL 282.403114 125.167788 \nL 281.943014 124.030052 \nL 281.244416 123.122008 \nL 280.313502 122.458685 \nL 279.161236 122.049383 \nL 277.803142 121.89752 \nL 276.25889 122.000757 \nL 274.551684 122.351431 \nL 272.707571 122.937165 \nL 270.7546 123.741707 \nL 268.721972 124.74582 \nL 266.639232 125.928225 \nL 264.535448 127.266493 \nL 260.374631 130.319787 \nL 256.439245 133.730305 \nL 252.889929 137.341312 \nL 249.844067 141.020779 \nL 247.378173 144.661066 \nL 246.377004 146.438592 \nL 245.534398 148.174891 \nL 244.851618 149.86134 \nL 244.328835 151.489905 \nL 243.965349 153.052966 \nL 243.759818 154.54319 \nL 243.71043 155.953386 \nL 243.815058 157.27641 \nL 244.07138 158.505025 \nL 244.476971 159.631851 \nL 245.029349 160.649256 \nL 245.726012 161.549327 \nL 246.56442 162.323792 \nL 247.541971 162.96401 \nL 248.655929 163.460954 \nL 249.903335 163.805247 \nL 251.280881 163.987178 \nL 252.784761 163.996804 \nL 254.410502 163.824079 \nL 256.152746 163.459027 \nL 258.00504 162.891962 \nL 259.95957 162.113832 \nL 262.006902 161.11656 \nL 264.135708 159.893545 \nL 266.332461 158.440188 \nL 268.58121 156.754527 \nL 270.863291 154.837942 \nL 273.157157 152.695921 \nL 275.43825 150.338827 \nL 277.678956 147.782631 \nL 279.848726 145.049592 \nL 281.914312 142.168758 \nL 283.840233 139.176207 \nL 285.589415 136.114958 \nL 287.124087 133.034482 \nL 288.406858 129.989709 \nL 289.402032 127.039525 \nL 290.077038 124.244783 \nL 290.403943 121.665884 \nL 290.360963 119.360122 \nL 289.933814 117.378931 \nL 289.116845 115.765326 \nL 287.913776 114.55174 \nL 286.33801 113.758538 \nL 284.412416 113.393306 \nL 282.168616 113.451026 \nL 279.645788 113.915051 \nL 276.889084 114.758832 \nL 273.947796 115.948062 \nL 270.873403 117.443126 \nL 267.717651 119.201528 \nL 264.530773 121.180082 \nL 261.359989 123.336807 \nL 258.248338 125.632301 \nL 255.233822 128.030724 \nL 252.348941 130.500322 \nL 249.620521 133.013586 \nL 247.069827 135.547113 \nL 244.712887 138.081334 \nL 242.560957 140.600045 \nL 240.621097 143.089939 \nL 238.896788 145.540113 \nL 237.388578 147.941585 \nL 236.094684 150.286878 \nL 235.011562 152.569638 \nL 234.134443 154.784306 \nL 233.457769 156.925856 \nL 232.975589 158.989552 \nL 232.681891 160.970769 \nL 232.570857 162.864806 \nL 232.637075 164.666773 \nL 232.87569 166.37142 \nL 233.282513 167.97306 \nL 233.854084 169.465435 \nL 234.587705 170.841606 \nL 235.481425 172.093858 \nL 236.534017 173.213584 \nL 237.744894 174.191201 \nL 239.114031 175.016021 \nL 240.641823 175.676202 \nL 242.32893 176.158647 \nL 244.176092 176.448962 \nL 246.183877 176.531441 \nL 248.352419 176.389092 \nL 250.681091 176.003744 \nL 253.168118 175.356238 \nL 255.810149 174.426716 \nL 258.60175 173.195069 \nL 261.534842 171.641583 \nL 264.598097 169.747751 \nL 267.776247 167.497372 \nL 271.049404 164.877906 \nL 274.392349 161.882085 \nL 277.773894 158.509804 \nL 281.15629 154.770219 \nL 284.494863 150.683934 \nL 287.737889 146.285144 \nL 290.826819 141.62347 \nL 293.697019 136.765255 \nL 296.279067 131.793877 \nL 298.500675 126.808831 \nL 300.289331 121.923254 \nL 301.575554 117.259705 \nL 302.296641 112.944251 \nL 302.400665 109.099227 \nL 301.850378 105.835245 \nL 300.626637 103.243355 \nL 298.730907 101.388318 \nL 296.186448 100.304132 \nL 293.038033 99.992185 \nL 289.349983 100.422673 \nL 285.202858 101.538768 \nL 280.688959 103.262949 \nL 275.907276 105.504577 \nL 270.95829 108.167427 \nL 265.939213 111.15656 \nL 260.939987 114.383615 \nL 256.040314 117.770437 \nL 251.307754 121.250956 \nL 246.7969 124.771649 \nL 242.549397 128.290894 \nL 238.594681 131.777666 \nL 234.95118 135.209817 \nL 231.627805 138.57236 \nL 228.625541 141.855825 \nL 225.939051 145.05479 \nL 223.55817 148.166721 \nL 221.469253 151.191 \nL 219.656355 154.128254 \nL 218.102211 156.979791 \nL 216.789055 159.747283 \nL 215.699257 162.432476 \nL 214.815818 165.037074 \nL 214.122743 167.562603 \nL 213.605307 170.010362 \nL 213.250222 172.38139 \nL 213.04575 174.676447 \nL 212.981756 176.895988 \nL 213.049717 179.040133 \nL 213.242709 181.108667 \nL 213.555361 183.101 \nL 213.98382 185.016113 \nL 214.525681 186.852515 \nL 215.179935 188.608202 \nL 215.94691 190.280546 \nL 216.828216 191.866228 \nL 217.826693 193.36112 \nL 218.946364 194.760166 \nL 220.19238 196.057215 \nL 221.570992 197.24487 \nL 223.089489 198.31427 \nL 224.756155 199.254883 \nL 226.580201 200.054239 \nL 228.571693 200.697638 \nL 230.741441 201.167859 \nL 233.100855 201.444793 \nL 235.661779 201.505108 \nL 238.436223 201.321884 \nL 241.436043 200.864274 \nL 244.6725 200.097225 \nL 248.155719 198.98128 \nL 251.893953 197.472579 \nL 255.892691 195.523082 \nL 260.153537 193.081206 \nL 264.672826 190.092968 \nL 269.439995 186.503845 \nL 274.43564 182.261535 \nL 279.629358 177.319857 \nL 284.977347 171.64392 \nL 290.41997 165.21671 \nL 295.879418 158.046901 \nL 301.257826 150.177706 \nL 306.436232 141.695835 \nL 311.274891 132.73938 \nL 315.615572 123.502895 \nL 319.286333 114.237446 \nL 322.109288 105.243499 \nL 323.911349 96.854965 \nL 324.537544 89.414161 \nL 323.865731 83.239662 \nL 321.820939 78.591159 \nL 318.386979 75.637839 \nL 313.612998 74.436962 \nL 307.613306 74.928032 \nL 300.55986 76.944395 \nL 292.668256 80.239635 \nL 284.179523 84.522718 \nL 275.34062 89.494113 \nL 266.386601 94.87606 \nL 257.526601 100.43307 \nL 240.746405 111.390713 \nL 225.929407 121.491695 \nL 213.448247 130.459994 \nL 208.085654 134.527011 \nL 203.274781 138.339706 \nL 198.977163 141.919926 \nL 195.148277 145.289389 \nL 191.740427 148.468186 \nL 188.70492 151.473993 \nL 183.560272 157.023767 \nL 179.354116 162.026865 \nL 170.987667 172.406953 \nL 167.885155 175.717599 \nL 166.293818 177.180642 \nL 164.650904 178.507546 \nL 162.939691 179.69061 \nL 161.144789 180.720638 \nL 159.25201 181.586831 \nL 157.248273 182.276676 \nL 155.121577 182.775856 \nL 152.861013 183.068115 \nL 150.456847 183.135213 \nL 147.900687 182.956887 \nL 145.185705 182.510872 \nL 142.306959 181.773044 \nL 139.261815 180.717692 \nL 136.050477 179.317953 \nL 132.676619 177.546499 \nL 129.148117 175.376509 \nL 125.47791 172.782984 \nL 121.684939 169.744497 \nL 117.795129 166.245342 \nL 113.842382 162.278198 \nL 109.869517 157.847166 \nL 105.928987 152.971138 \nL 102.083328 147.687196 \nL 98.4051 142.05383 \nL 94.976166 136.153367 \nL 91.886149 130.093101 \nL 89.22985 124.004532 \nL 87.103622 118.040045 \nL 85.600662 112.366737 \nL 84.805469 107.157335 \nL 84.787799 102.578765 \nL 85.596731 98.779404 \nL 87.255484 95.876731 \nL 89.757747 93.947103 \nL 93.066189 93.019464 \nL 97.113449 93.074153 \nL 101.80569 94.046923 \nL 107.028367 95.837577 \nL 112.653492 98.321579 \nL 118.547518 101.362627 \nL 124.578952 104.824366 \nL 130.624915 108.579845 \nL 136.576138 112.517907 \nL 142.34021 116.546506 \nL 147.84311 120.59344 \nL 153.029243 124.60509 \nL 157.860391 128.543983 \nL 162.313865 132.385855 \nL 166.380269 136.116653 \nL 170.061089 139.729802 \nL 173.366354 143.223912 \nL 176.312468 146.600954 \nL 178.920312 149.864902 \nL 181.213628 153.020774 \nL 183.217692 156.073956 \nL 184.958266 159.029785 \nL 186.460793 161.893329 \nL 187.749791 164.669248 \nL 188.848441 167.361754 \nL 189.778305 169.974634 \nL 191.208968 174.974701 \nL 192.177894 179.692554 \nL 192.79257 184.147154 \nL 193.134624 188.354515 \nL 193.263533 192.328592 \nL 193.220414 196.081781 \nL 192.886998 201.321341 \nL 192.261634 206.120906 \nL 191.680061 209.089079 \nL 190.953351 211.878674 \nL 190.061604 214.492954 \nL 188.97729 216.932261 \nL 187.664621 219.192939 \nL 186.0785 221.265755 \nL 184.163078 223.133604 \nL 183.061048 223.982365 \nL 181.84994 224.76813 \nL 180.518891 225.484793 \nL 179.055972 226.124818 \nL 177.448118 226.678956 \nL 175.681057 227.135898 \nL 173.739254 227.481881 \nL 171.605862 227.700204 \nL 169.262701 227.770674 \nL 166.690274 227.668957 \nL 163.867838 227.365836 \nL 160.773544 226.826385 \nL 157.384678 226.009049 \nL 153.678042 224.864679 \nL 149.630531 223.335544 \nL 145.219941 221.354455 \nL 140.42609 218.844064 \nL 135.232361 215.716611 \nL 129.627726 211.874362 \nL 123.609392 207.211177 \nL 117.186124 201.615724 \nL 110.382412 194.977033 \nL 103.243387 187.193091 \nL 95.840493 178.1833 \nL 88.277595 167.905286 \nL 80.69702 156.376056 \nL 73.284631 143.696432 \nL 66.27259 130.076042 \nL 59.938124 115.854014 \nL 54.59621 101.508247 \nL 50.584388 87.64466 \nL 48.238526 74.958724 \nL 47.860354 64.166193 \nL 49.679712 55.908635 \nL 53.817698 50.650624 \nL 60.258726 48.594456 \nL 68.839287 49.639128 \nL 79.258526 53.399644 \nL 91.110085 59.283057 \nL 103.928717 66.598195 \nL 117.241398 74.666816 \nL 143.674685 90.884834 \nL 156.146251 98.308459 \nL 167.831305 105.022722 \nL 178.612307 110.971597 \nL 188.436348 116.167023 \nL 197.3 120.661214 \nL 205.235066 124.526037 \nL 218.552814 130.675556 \nL 228.951879 135.182027 \nL 237.031459 138.48411 \nL 243.333407 140.888202 \nL 248.308634 142.598047 \nL 252.313321 143.746642 \nL 255.617757 144.421586 \nL 258.419146 144.68329 \nL 260.854628 144.577594 \nL 263.013002 144.144554 \nL 264.944799 143.424538 \nL 266.670891 142.462396 \nL 268.18997 141.31005 \nL 269.485271 140.027507 \nL 270.53086 138.68238 \nL 271.297588 137.347804 \nL 271.758715 136.098952 \nL 271.895028 135.008394 \nL 271.699062 134.14102 \nL 271.1781 133.549102 \nL 270.355604 133.268421 \nL 269.27086 133.315917 \nL 267.97695 133.689353 \nL 266.537368 134.368785 \nL 265.021764 135.319434 \nL 263.501408 136.495468 \nL 262.044978 137.843892 \nL 260.715129 139.308091 \nL 259.565999 140.830661 \nL 258.641742 142.355467 \nL 257.976004 143.828872 \nL 257.592058 145.200453 \nL 257.503347 146.423237 \nL 257.714181 147.453882 \nL 258.220401 148.252831 \nL 259.009801 148.784724 \nL 260.062301 149.019186 \nL 261.349779 148.932023 \nL 262.835693 148.506998 \nL 264.474648 147.738091 \nL 266.211999 146.632135 \nL 267.983937 145.211586 \nL 269.718202 143.516968 \nL 271.335907 141.608458 \nL 272.754603 139.565803 \nL 273.892804 137.486033 \nL 274.67578 135.478439 \nL 275.042128 133.656879 \nL 275.055182 132.850333 \nL 274.950436 132.130112 \nL 274.726757 131.50733 \nL 274.384845 130.991545 \nL 273.927284 130.590525 \nL 273.358529 130.310084 \nL 272.684861 130.153973 \nL 271.914241 130.123845 \nL 271.056171 130.219298 \nL 269.122138 130.775599 \nL 266.981039 131.783309 \nL 264.740128 133.180813 \nL 262.507223 134.892243 \nL 260.383298 136.834931 \nL 258.45707 138.925397 \nL 256.80172 141.08345 \nL 255.473753 143.234386 \nL 254.513465 145.309694 \nL 253.94649 147.24673 \nL 253.785812 148.987868 \nL 254.033768 150.479548 \nL 254.309204 151.116015 \nL 254.683638 151.671493 \nL 255.154972 152.140151 \nL 255.720632 152.516371 \nL 256.377539 152.794756 \nL 257.122097 152.970179 \nL 257.950154 153.037859 \nL 258.856963 152.993412 \nL 260.884538 152.553307 \nL 263.152767 151.627227 \nL 265.596312 150.207303 \nL 268.134864 148.305995 \nL 270.672336 145.962098 \nL 273.09755 143.246281 \nL 275.287301 140.264521 \nL 277.112315 137.157763 \nL 278.446421 134.096102 \nL 278.893688 132.640424 \nL 279.178426 131.266548 \nL 279.291262 129.997537 \nL 279.22539 128.855057 \nL 278.976902 127.85871 \nL 278.545039 127.025403 \nL 277.932339 126.368854 \nL 277.144696 125.89916 \nL 276.191262 125.622598 \nL 275.084279 125.541515 \nL 273.83877 125.654439 \nL 272.472153 125.956332 \nL 271.003749 126.438949 \nL 269.454266 127.091327 \nL 266.198626 128.851134 \nL 262.878369 131.114206 \nL 259.656471 133.749248 \nL 256.674438 136.628036 \nL 254.045913 139.633372 \nL 251.855007 142.662439 \nL 250.158221 145.626677 \nL 248.988635 148.44962 \nL 248.606727 149.786748 \nL 248.360999 151.063776 \nL 248.251247 152.273148 \nL 248.276698 153.407493 \nL 248.436109 154.459538 \nL 248.72785 155.422049 \nL 249.149962 156.287779 \nL 249.700184 157.049433 \nL 250.375966 157.699636 \nL 251.174447 158.230938 \nL 252.092428 158.635813 \nL 253.126309 158.906696 \nL 254.272003 159.036071 \nL 255.524837 159.016537 \nL 256.879437 158.840943 \nL 258.32958 158.502542 \nL 259.868053 157.995218 \nL 261.486487 157.313714 \nL 263.175188 156.453953 \nL 264.922986 155.413357 \nL 266.717049 154.19125 \nL 268.542785 152.789267 \nL 270.383704 151.211811 \nL 272.22137 149.466485 \nL 274.035398 147.564544 \nL 275.803526 145.521264 \nL 277.501784 143.356224 \nL 279.104746 141.093478 \nL 280.585946 138.761528 \nL 281.918388 136.393095 \nL 283.075163 134.024637 \nL 284.030231 131.69559 \nL 284.759248 129.447334 \nL 285.240477 127.321927 \nL 285.455709 125.360655 \nL 285.39116 123.602441 \nL 285.038223 122.082294 \nL 284.394101 120.829837 \nL 283.462229 119.868105 \nL 282.252386 119.212661 \nL 280.780575 118.871151 \nL 279.068586 118.843284 \nL 277.143304 119.121285 \nL 275.035795 119.690696 \nL 272.780225 120.531514 \nL 270.412695 121.619468 \nL 267.970047 122.927394 \nL 265.488776 124.426559 \nL 263.004 126.087847 \nL 260.548625 127.88274 \nL 258.152689 129.784099 \nL 255.842918 131.766712 \nL 253.642459 133.807594 \nL 251.570793 135.886131 \nL 249.643812 137.984065 \nL 247.873996 140.085373 \nL 246.270691 142.176054 \nL 244.840457 144.243895 \nL 243.587425 146.278199 \nL 242.513697 148.269522 \nL 241.619711 150.209418 \nL 240.904604 152.090224 \nL 240.366546 153.904797 \nL 240.003018 155.64638 \nL 239.811078 157.308387 \nL 239.787566 158.884276 \nL 239.929273 160.367401 \nL 240.233076 161.75092 \nL 240.69602 163.027656 \nL 241.315384 164.190022 \nL 242.088688 165.229941 \nL 243.013695 166.138773 \nL 244.088338 166.907244 \nL 245.310674 167.525427 \nL 246.678742 167.98272 \nL 248.19045 168.267854 \nL 249.843371 168.368934 \nL 251.634559 168.273532 \nL 253.560286 167.968847 \nL 255.615776 167.441903 \nL 257.794886 166.679847 \nL 260.089767 165.670347 \nL 262.490481 164.402115 \nL 264.984624 162.865517 \nL 267.556902 161.053359 \nL 270.188749 158.961771 \nL 272.857965 156.591223 \nL 275.538396 153.947659 \nL 278.199728 151.043625 \nL 280.807413 147.899434 \nL 283.322783 144.544161 \nL 285.703391 141.016395 \nL 287.903664 137.36464 \nL 289.875834 133.647116 \nL 291.571248 129.930936 \nL 292.942 126.290434 \nL 293.942846 122.804734 \nL 294.533345 119.554514 \nL 294.680082 116.618185 \nL 294.358796 114.067745 \nL 293.556235 111.964732 \nL 292.271556 110.35666 \nL 290.51709 109.27429 \nL 288.318345 108.730261 \nL 285.713191 108.718991 \nL 282.750341 109.218094 \nL 279.487121 110.190846 \nL 275.986849 111.589583 \nL 272.316011 113.359478 \nL 268.541417 115.442263 \nL 264.727644 117.779652 \nL 260.934878 120.316047 \nL 257.217255 123.000529 \nL 253.621748 125.788069 \nL 250.187606 128.640069 \nL 246.946237 131.524338 \nL 243.921499 134.414704 \nL 241.130259 137.290323 \nL 238.583158 140.134941 \nL 236.285484 142.936055 \nL 234.238072 145.684166 \nL 232.438216 148.3721 \nL 230.880503 150.994408 \nL 229.55758 153.546887 \nL 228.460831 156.026162 \nL 227.580952 158.429398 \nL 226.908436 160.754043 \nL 226.433962 162.997614 \nL 226.148711 165.157551 \nL 226.044598 167.231095 \nL 226.114454 169.215147 \nL 226.352145 171.106204 \nL 226.752648 172.900232 \nL 227.312089 174.592564 \nL 228.027751 176.177805 \nL 228.898062 177.649737 \nL 229.922534 179.001176 \nL 231.101718 180.223848 \nL 232.437113 181.308265 \nL 233.931053 182.243568 \nL 235.586589 183.017391 \nL 237.407327 183.615697 \nL 239.397234 184.022661 \nL 241.560427 184.220512 \nL 243.900884 184.189485 \nL 246.422112 183.907734 \nL 249.126765 183.351416 \nL 252.016159 182.494806 \nL 255.089712 181.310603 \nL 258.344291 179.770442 \nL 261.773446 177.845635 \nL 265.366528 175.508256 \nL 269.107753 172.732602 \nL 272.975127 169.497121 \nL 276.939363 165.786773 \nL 280.962817 161.595949 \nL 284.998498 156.931731 \nL 288.989321 151.817525 \nL 292.86775 146.296637 \nL 296.555922 140.435524 \nL 299.966624 134.326119 \nL 303.005115 128.086603 \nL 305.572117 121.859942 \nL 307.567909 115.809636 \nL 308.897545 110.112316 \nL 309.476867 104.94736 \nL 309.238933 100.484179 \nL 308.140092 96.868667 \nL 306.165087 94.210545 \nL 303.330264 92.573612 \nL 299.684402 91.970716 \nL 295.306778 92.364328 \nL 290.302595 93.672597 \nL 284.79629 95.779908 \nL 278.923514 98.549755 \nL 272.822847 101.83811 \nL 266.628049 105.505108 \nL 260.461723 109.423883 \nL 254.430737 113.486121 \nL 248.623495 117.6044 \nL 243.108998 121.711958 \nL 237.937295 125.760733 \nL 233.140995 129.718457 \nL 228.737427 133.565399 \nL 224.73109 137.291257 \nL 221.116187 140.892441 \nL 217.879017 144.369835 \nL 215.000132 147.727112 \nL 212.456198 150.969453 \nL 210.221549 154.102725 \nL 208.269437 157.13287 \nL 206.573012 160.065628 \nL 205.106052 162.906289 \nL 203.843499 165.659668 \nL 202.761813 168.330088 \nL 201.055743 173.436989 \nL 199.836005 178.253062 \nL 198.980302 182.799415 \nL 198.393292 187.09375 \nL 197.863711 193.095884 \nL 197.61186 198.610679 \nL 197.53969 205.2745 \nL 197.719021 212.613724 \nL 198.039633 217.782153 \nL 198.54116 222.394657 \nL 199.073324 225.521669 \nL 199.786061 228.384314 \nL 200.390738 230.152592 \nL 201.125714 231.811474 \nL 202.019923 233.361113 \nL 203.109014 234.798858 \nL 204.436851 236.118043 \nL 206.057354 237.306158 \nL 208.036703 238.342102 \nL 210.455938 239.192066 \nL 213.413952 239.803413 \nL 215.131582 239.995856 \nL 217.03073 240.095608 \nL 219.130219 240.086067 \nL 221.45056 239.94693 \nL 224.013996 239.653419 \nL 226.844499 239.175396 \nL 229.967703 238.47633 \nL 233.410733 237.512111 \nL 237.201895 236.22975 \nL 241.370175 234.56597 \nL 245.944483 232.445791 \nL 250.952532 229.781214 \nL 256.419264 226.470242 \nL 262.364682 222.396554 \nL 268.800928 217.430336 \nL 275.728447 211.430917 \nL 283.131067 204.252197 \nL 290.969914 195.751896 \nL 299.176129 185.805958 \nL 307.642616 174.329233 \nL 316.215323 161.303021 \nL 324.685163 146.808877 \nL 332.782191 131.065631 \nL 340.174547 114.463413 \nL 346.475134 97.584247 \nL 351.259219 81.19574 \nL 354.095244 66.203948 \nL 354.588722 53.557818 \nL 352.435138 44.111441 \nL 347.473205 38.469598 \nL 339.72576 36.859522 \nL 329.415571 39.073779 \nL 316.948074 44.510723 \nL 302.86237 52.30292 \nL 287.761839 61.490548 \nL 272.241578 71.183685 \nL 256.828942 80.671665 \nL 241.946741 89.465886 \nL 227.900379 97.288023 \nL 214.883866 104.027223 \nL 202.997207 109.688421 \nL 192.268172 114.346105 \nL 182.673566 118.109266 \nL 174.157392 121.098254 \nL 166.644997 123.431069 \nL 160.053327 125.216431 \nL 154.297888 126.551059 \nL 149.297141 127.519375 \nL 144.975031 128.194354 \nL 138.096353 128.907159 \nL 133.189914 129.095761 \nL 126.934903 129.163313 \nL 126.79421 129.323218 \nL 126.842109 129.557988 \nL 127.413251 130.270759 \nL 132.263413 135.187259 \nL 134.646781 138.101801 \nL 136.059646 140.152497 \nL 137.240724 142.210695 \nL 138.133049 144.212637 \nL 138.69655 146.098709 \nL 138.905977 147.813419 \nL 138.748767 149.304945 \nL 138.223186 150.524731 \nL 137.824346 151.018387 \nL 137.337031 151.427295 \nL 136.7636 151.746307 \nL 136.106956 151.970535 \nL 135.370571 152.095405 \nL 133.675503 152.030765 \nL 131.718776 151.52506 \nL 129.552282 150.561804 \nL 127.240831 149.139765 \nL 124.863234 147.277928 \nL 122.512453 145.020612 \nL 120.294244 142.441765 \nL 118.323603 139.64698 \nL 116.718573 136.771832 \nL 115.591472 133.975266 \nL 115.238026 132.65965 \nL 115.038015 131.427566 \nL 114.998898 130.29937 \nL 115.125708 129.293929 \nL 115.420778 128.428062 \nL 115.883571 127.716053 \nL 116.510586 127.169216 \nL 117.295356 126.795617 \nL 118.228551 126.59989 \nL 119.298165 126.58325 \nL 120.48983 126.743583 \nL 121.787176 127.07569 \nL 123.172245 127.571624 \nL 126.128625 129.012067 \nL 129.201459 130.963293 \nL 132.237054 133.308577 \nL 135.096986 135.928642 \nL 137.665566 138.710461 \nL 139.853112 141.551988 \nL 141.59566 144.363481 \nL 142.852209 147.066555 \nL 143.600659 149.591912 \nL 143.781537 150.768142 \nL 143.833485 151.876744 \nL 143.757204 152.910463 \nL 143.553874 153.86214 \nL 143.225092 154.724702 \nL 142.772826 155.491074 \nL 142.199404 156.154183 \nL 141.507497 156.706964 \nL 140.700157 157.142334 \nL 139.780846 157.453245 \nL 138.753504 157.632726 \nL 137.622628 157.673962 \nL 136.393363 157.570416 \nL 135.071623 157.315949 \nL 133.664213 156.905003 \nL 132.178952 156.332817 \nL 130.624832 155.595664 \nL 129.012145 154.691157 \nL 127.35261 153.618566 \nL 125.659499 152.379169 \nL 123.947724 150.976638 \nL 122.233888 149.417414 \nL 120.536299 147.711055 \nL 118.874909 145.870593 \nL 117.271186 143.912773 \nL 115.747881 141.858206 \nL 114.328743 139.731394 \nL 113.038057 137.560573 \nL 111.90016 135.37736 \nL 110.938789 133.216165 \nL 110.176387 131.113409 \nL 109.633338 129.1065 \nL 109.327183 127.23264 \nL 109.271841 125.527548 \nL 109.476915 124.0241 \nL 109.94709 122.751072 \nL 110.681718 121.731989 \nL 111.674596 120.98426 \nL 112.913977 120.5186 \nL 114.382823 120.338844 \nL 116.059282 120.442073 \nL 117.917392 120.819157 \nL 119.927918 121.455513 \nL 122.059316 122.332119 \nL 124.278757 123.426633 \nL 126.553105 124.714519 \nL 128.849853 126.170112 \nL 131.137925 127.767591 \nL 133.388378 129.481743 \nL 137.674059 133.165758 \nL 141.532795 137.05116 \nL 143.261423 139.024344 \nL 144.840614 140.99764 \nL 146.262097 142.958021 \nL 147.519999 144.893961 \nL 148.610526 146.795174 \nL 149.531639 148.652438 \nL 150.282739 150.457342 \nL 150.864354 152.202102 \nL 151.277871 153.879405 \nL 151.525295 155.482193 \nL 151.609026 157.003556 \nL 151.5317 158.436591 \nL 151.296046 159.774276 \nL 150.904787 161.009383 \nL 150.360563 162.134359 \nL 149.665919 163.14129 \nL 148.823291 164.02181 \nL 147.835039 164.767064 \nL 146.703521 165.367674 \nL 145.431178 165.813749 \nL 144.02065 166.094867 \nL 142.474958 166.200185 \nL 140.797662 166.118486 \nL 138.993096 165.838353 \nL 137.066601 165.34838 \nL 135.024819 164.63745 \nL 132.875976 163.695099 \nL 130.630207 162.511992 \nL 128.299915 161.080498 \nL 125.90008 159.395334 \nL 123.448597 157.454375 \nL 120.966566 155.259524 \nL 118.478544 152.817622 \nL 116.012661 150.141421 \nL 113.600661 147.25049 \nL 111.277744 144.172018 \nL 109.082238 140.941375 \nL 107.054993 137.602331 \nL 105.23854 134.20685 \nL 103.675942 130.81429 \nL 102.409426 127.489993 \nL 101.47871 124.303214 \nL 100.919231 121.324443 \nL 100.760299 118.622268 \nL 101.023316 116.259976 \nL 101.720218 114.292238 \nL 102.852306 112.762131 \nL 104.409605 111.698893 \nL 106.370788 111.116584 \nL 108.703786 111.013886 \nL 111.36698 111.375007 \nL 114.311005 112.171498 \nL 117.480838 113.364908 \nL 120.818172 114.909727 \nL 124.263802 116.756492 \nL 127.759801 118.854623 \nL 131.251475 121.154861 \nL 134.688856 123.611108 \nL 138.027805 126.181665 \nL 141.230654 128.829922 \nL 144.266439 131.52456 \nL 147.110804 134.239384 \nL 149.745625 136.952907 \nL 152.158438 139.647768 \nL 154.341753 142.310121 \nL 156.292292 144.928987 \nL 158.01023 147.495682 \nL 159.498456 150.003277 \nL 160.761889 152.446138 \nL 161.806858 154.819572 \nL 162.640568 157.119494 \nL 163.270633 159.342161 \nL 163.704693 161.483993 \nL 163.950121 163.54136 \nL 164.013765 165.510477 \nL 163.901773 167.38724 \nL 163.619468 169.167129 \nL 163.171251 170.8451 \nL 162.560566 172.415474 \nL 161.789885 173.871811 \nL 160.860731 175.206824 \nL 159.773717 176.412241 \nL 158.528626 177.478708 \nL 157.124512 178.39565 \nL 155.559808 179.151146 \nL 153.8325 179.731854 \nL 151.940302 180.122863 \nL 149.880893 180.307645 \nL 147.652181 180.26802 \nL 145.252622 179.984171 \nL 142.68161 179.434747 \nL 139.939919 178.597055 \nL 137.030225 177.44745 \nL 133.95771 175.961824 \nL 130.730748 174.116413 \nL 127.361657 171.888821 \nL 123.867528 169.259396 \nL 120.271108 166.212962 \nL 116.601655 162.740895 \nL 112.895791 158.843581 \nL 109.198176 154.533128 \nL 105.562 149.836222 \nL 102.049084 144.796829 \nL 98.729503 139.478538 \nL 95.680557 133.965949 \nL 92.984982 128.364766 \nL 90.728257 122.800058 \nL 88.995056 117.412313 \nL 87.864899 112.3511 \nL 87.407247 107.766655 \nL 87.676376 103.799836 \nL 88.706661 100.571616 \nL 90.508668 98.173407 \nL 93.066767 96.659794 \nL 96.338609 96.0446 \nL 100.25674 96.301225 \nL 104.73219 97.367119 \nL 109.659744 99.151418 \nL 114.924222 101.544763 \nL 120.407102 104.429451 \nL 125.992783 107.688723 \nL 131.573856 111.214075 \nL 137.055079 114.910275 \nL 142.355945 118.697878 \nL 147.411828 122.513768 \nL 152.173964 126.310174 \nL 156.608522 130.052791 \nL 160.69507 133.718436 \nL 164.424671 137.292644 \nL 167.797864 140.767503 \nL 170.822674 144.139749 \nL 173.512764 147.409264 \nL 175.885795 150.577921 \nL 177.962017 153.648737 \nL 179.763098 156.625281 \nL 181.311199 159.511271 \nL 182.628228 162.310347 \nL 183.735301 165.025933 \nL 184.65234 167.661173 \nL 185.397802 170.218884 \nL 185.988511 172.701593 \nL 186.764344 177.450653 \nL 187.079842 181.923151 \nL 187.008288 186.130204 \nL 186.598558 190.079557 \nL 185.877852 193.775428 \nL 184.854212 197.217945 \nL 183.51853 200.402056 \nL 181.84589 203.31581 \nL 180.871284 204.665099 \nL 179.796255 205.9379 \nL 178.613455 207.129507 \nL 177.314579 208.234109 \nL 175.890347 209.244603 \nL 174.330494 210.152352 \nL 172.623758 210.946929 \nL 170.757876 211.615802 \nL 168.719597 212.143974 \nL 166.494724 212.513578 \nL 164.068179 212.703422 \nL 161.424129 212.68847 \nL 158.546159 212.439312 \nL 155.417549 211.921579 \nL 152.021661 211.095384 \nL 148.342461 209.914795 \nL 144.365232 208.327456 \nL 140.077525 206.2744 \nL 135.470379 203.690257 \nL 130.539907 200.504005 \nL 125.289235 196.640573 \nL 119.730926 192.023538 \nL 113.889832 186.57937 \nL 107.806378 180.243528 \nL 101.540218 172.968794 \nL 95.173987 164.735994 \nL 88.816873 155.566907 \nL 82.607362 145.538649 \nL 76.7145 134.797954 \nL 71.336646 123.572716 \nL 66.696713 112.17727 \nL 63.032893 101.007226 \nL 60.584391 90.520013 \nL 59.572377 81.199251 \nL 60.177648 73.504853 \nL 62.517808 67.815361 \nL 66.627815 64.373849 \nL 72.448252 63.250509 \nL 79.824596 64.332674 \nL 88.51886 67.346215 \nL 98.231973 71.90305 \nL 108.632896 77.562312 \nL 119.388975 83.889951 \nL 140.779319 97.104533 \nL 197.743777 132.918031 \nL 207.872483 139.653052 \nL 215.886082 145.311963 \nL 222.271578 150.1134 \nL 233.899341 159.14407 \nL 237.692726 161.684037 \nL 239.531757 162.722962 \nL 241.363484 163.602335 \nL 243.207327 164.316408 \nL 245.079795 164.858321 \nL 246.994657 165.22023 \nL 248.963062 165.393477 \nL 250.993615 165.368762 \nL 253.092385 165.136338 \nL 255.262892 164.686307 \nL 257.506016 164.008905 \nL 259.819889 163.094926 \nL 262.199721 161.936225 \nL 264.637617 160.526278 \nL 267.12237 158.860897 \nL 269.639238 156.93901 \nL 272.169776 154.763522 \nL 274.691685 152.34225 \nL 277.178749 149.688863 \nL 279.600907 146.823786 \nL 281.924447 143.77492 \nL 284.112442 140.578198 \nL 286.125363 137.277769 \nL 287.921995 133.925707 \nL 289.460583 130.581207 \nL 290.700268 127.309141 \nL 291.602724 124.177959 \nL 292.133912 121.257045 \nL 292.265922 118.613618 \nL 291.978713 116.309423 \nL 291.261594 114.397522 \nL 290.114338 112.919381 \nL 288.547802 111.902815 \nL 286.583935 111.360722 \nL 284.255134 111.290944 \nL 281.603025 111.67726 \nL 278.67673 112.491205 \nL 275.530747 113.694617 \nL 272.222655 115.242605 \nL 268.810789 117.086526 \nL 265.352105 119.176736 \nL 261.900324 121.464959 \nL 258.504444 123.906022 \nL 255.207725 126.459074 \nL 252.047058 129.088251 \nL 249.052751 131.762824 \nL 246.248639 134.457069 \nL 243.652465 137.149833 \nL 241.276422 139.823996 \nL 239.127853 142.465838 \nL 237.20998 145.064459 \nL 235.522648 147.611174 \nL 234.063059 150.09903 \nL 232.826427 152.522331 \nL 231.806592 154.876291 \nL 230.996547 157.156712 \nL 230.388884 159.359759 \nL 229.976165 161.481707 \nL 229.751232 163.518812 \nL 229.707431 165.467135 \nL 229.838799 167.322437 \nL 230.140184 169.080043 \nL 230.607336 170.734746 \nL 231.236937 172.280696 \nL 232.026614 173.711273 \nL 232.974928 175.019002 \nL 234.081306 176.195421 \nL 235.345982 177.230964 \nL 236.769883 178.114849 \nL 238.354507 178.834959 \nL 240.101758 179.377729 \nL 242.013757 179.728077 \nL 244.092604 179.869321 \nL 246.340099 179.78316 \nL 248.75741 179.449717 \nL 251.344689 178.847668 \nL 254.100602 177.954482 \nL 257.02181 176.746797 \nL 260.102354 175.201027 \nL 263.332965 173.294144 \nL 266.700307 171.004799 \nL 270.186149 168.314733 \nL 273.766519 165.210553 \nL 277.410852 161.685852 \nL 281.081218 157.743671 \nL 284.731665 153.39916 \nL 288.307853 148.682369 \nL 291.747051 143.640818 \nL 294.978635 138.341555 \nL 297.925275 132.8723 \nL 300.504868 127.341118 \nL 302.633361 121.874286 \nL 304.228378 116.611951 \nL 305.21363 111.70153 \nL 305.52374 107.289082 \nL 305.109196 103.509418 \nL 303.94085 100.475975 \nL 302.013416 98.271772 \nL 299.347469 96.942899 \nL 295.989547 96.495539 \nL 292.010197 96.897031 \nL 287.500122 98.080814 \nL 282.564844 99.954367 \nL 277.318438 102.408857 \nL 271.877146 105.32888 \nL 266.353407 108.601204 \nL 260.850911 112.121554 \nL 255.460953 115.799 \nL 250.26018 119.558128 \nL 245.309651 123.339299 \nL 240.655014 127.097579 \nL 236.327513 130.800802 \nL 232.345551 134.427293 \nL 228.716568 137.96358 \nL 225.439005 141.402334 \nL 222.504238 144.740548 \nL 219.898357 147.978162 \nL 217.603733 151.116957 \nL 215.600367 154.159769 \nL 213.866997 157.109936 \nL 212.381993 159.970946 \nL 211.124046 162.746196 \nL 210.072693 165.438883 \nL 209.208686 168.051925 \nL 208.514247 170.587935 \nL 207.973229 173.049252 \nL 207.571192 175.437912 \nL 207.134945 180.004125 \nL 207.124093 184.297947 \nL 207.482671 188.327068 \nL 208.177674 192.095363 \nL 209.196526 195.602375 \nL 210.544958 198.842151 \nL 211.349175 200.358051 \nL 212.245482 201.801504 \nL 213.239169 203.169308 \nL 214.336497 204.457434 \nL 215.544692 205.660868 \nL 216.871962 206.77346 \nL 218.327495 207.787705 \nL 219.92147 208.69452 \nL 221.665054 209.482966 \nL 223.570399 210.139935 \nL 225.650607 210.649789 \nL 227.919683 210.993962 \nL 230.392438 211.150488 \nL 233.084353 211.093526 \nL 236.011359 210.79281 \nL 239.189544 210.21313 \nL 242.634725 209.313804 \nL 246.361866 208.048226 \nL 250.384318 206.363589 \nL 254.712815 204.200843 \nL 259.354166 201.49508 \nL 264.309641 198.176538 \nL 269.572933 194.172483 \nL 275.127715 189.410286 \nL 280.944776 183.822027 \nL 286.978749 177.350995 \nL 293.164615 169.960349 \nL 299.414162 161.643966 \nL 305.612824 152.439159 \nL 311.617473 142.440386 \nL 317.255948 131.812101 \nL 322.329234 120.798082 \nL 326.617257 109.723722 \nL 329.889099 98.987369 \nL 331.917963 89.03759 \nL 332.500243 80.335585 \nL 331.477083 73.305521 \nL 328.755452 68.28031 \nL 324.324859 65.45389 \nL 318.265917 64.852005 \nL 310.748112 66.330009 \nL 302.0161 69.599369 \nL 292.366684 74.27603 \nL 282.120642 79.938307 \nL 271.594544 86.180666 \nL 250.812227 99.082565 \nL 215.324832 121.535551 \nL 201.759399 130.289034 \nL 190.858603 137.61444 \nL 182.214404 143.797811 \nL 175.353385 149.074937 \nL 167.41717 155.629055 \nL 161.164404 160.78221 \nL 157.431242 163.475461 \nL 155.608421 164.593766 \nL 153.783981 165.55363 \nL 151.938531 166.348708 \nL 150.055396 166.971447 \nL 148.120473 167.413172 \nL 146.122119 167.664239 \nL 144.051081 167.714149 \nL 141.900497 167.551718 \nL 139.665942 167.165325 \nL 137.345531 166.543194 \nL 134.940069 165.673781 \nL 132.453259 164.546253 \nL 129.891952 163.151079 \nL 127.266415 161.480773 \nL 124.590622 159.530711 \nL 121.882532 157.30014 \nL 119.164353 154.793221 \nL 116.462703 152.020189 \nL 113.808693 148.998487 \nL 111.237829 145.753816 \nL 108.789729 142.321015 \nL 106.507557 138.744571 \nL 104.43718 135.078695 \nL 102.625989 131.386716 \nL 101.121378 127.739818 \nL 99.96896 124.214895 \nL 99.210489 120.891659 \nL 98.881684 117.849096 \nL 99.01006 115.161454 \nL 99.612959 112.894203 \nL 100.69597 111.100227 \nL 102.251916 109.816862 \nL 104.260541 109.063927 \nL 106.688971 108.84315 \nL 109.492973 109.138963 \nL 112.618868 109.920536 \nL 116.005978 111.14481 \nL 119.589366 112.76011 \nL 123.302666 114.709864 \nL 127.08072 116.936162 \nL 130.861884 119.382654 \nL 134.589881 121.996887 \nL 138.215123 124.731767 \nL 141.695472 127.546386 \nL 144.996543 130.406188 \nL 148.091567 133.282749 \nL 150.960946 136.153204 \nL 153.591569 138.999526 \nL 155.975994 141.807739 \nL 158.111555 144.567138 \nL 159.999464 147.269596 \nL 161.643961 149.908938 \nL 163.051519 152.480394 \nL 164.230138 154.980205 \nL 165.18873 157.405262 \nL 165.936608 159.752815 \nL 166.483054 162.020288 \nL 166.836983 164.205086 \nL 167.006675 166.30445 \nL 166.999576 168.315341 \nL 166.822153 170.234342 \nL 166.479803 172.057547 \nL 165.976803 173.78046 \nL 165.316279 175.397893 \nL 164.500229 176.903867 \nL 163.529548 178.291479 \nL 162.404086 179.552809 \nL 161.122733 180.678744 \nL 159.683504 181.65887 \nL 158.083674 182.481318 \nL 156.319917 183.132609 \nL 154.388489 183.597533 \nL 152.285438 183.859005 \nL 150.00687 183.89798 \nL 147.549263 183.69338 \nL 144.909832 183.222145 \nL 142.086979 182.459318 \nL 139.080834 181.378318 \nL 135.893868 179.951363 \nL 132.531631 178.150158 \nL 129.003562 175.946863 \nL 125.323943 173.315442 \nL 121.512892 170.2334 \nL 117.597437 166.684044 \nL 113.612575 162.659153 \nL 109.602273 158.162136 \nL 105.620262 153.211509 \nL 101.730543 147.844437 \nL 98.007359 142.120063 \nL 94.534518 136.122091 \nL 91.403802 129.960001 \nL 88.712393 123.768306 \nL 86.559121 117.703168 \nL 85.039632 111.936026 \nL 84.24066 106.644171 \nL 84.233795 101.998871 \nL 85.069329 98.152169 \nL 86.770894 95.223976 \nL 89.331692 93.291521 \nL 92.712971 92.382946 \nL 96.845095 92.476104 \nL 101.631301 93.503015 \nL 106.953714 95.358942 \nL 112.680901 97.91459 \nL 118.676069 101.029201 \nL 124.804881 104.562671 \nL 130.942202 108.385223 \nL 136.977149 112.383814 \nL 142.816361 116.465474 \nL 148.385452 120.557737 \nL 153.628965 124.607283 \nL 158.509197 128.577279 \nL 163.004256 132.444286 \nL 167.105694 136.195115 \nL 170.816048 139.82403 \nL 174.14641 143.330421 \nL 177.114222 146.716943 \nL 179.74135 149.988145 \nL 182.052444 153.149506 \nL 184.07361 156.206799 \nL 185.831355 159.165676 \nL 187.351787 162.031439 \nL 188.660024 164.80895 \nL 189.779781 167.502578 \nL 190.733108 170.116237 \nL 192.219514 175.117246 \nL 193.258633 179.835768 \nL 193.961073 184.291327 \nL 194.411712 188.500477 \nL 194.748651 194.383591 \nL 194.798881 199.788001 \nL 194.64035 204.751894 \nL 194.306322 209.309222 \nL 193.797841 213.489834 \nL 193.090381 217.319001 \nL 192.485444 219.686475 \nL 191.750864 221.910537 \nL 190.860722 223.993074 \nL 189.78262 225.933178 \nL 188.476459 227.726045 \nL 186.892908 229.361323 \nL 184.971512 230.820666 \nL 182.638457 232.074113 \nL 181.29021 232.609819 \nL 179.803997 233.07475 \nL 178.165652 233.459111 \nL 176.359667 233.750895 \nL 174.369102 233.935419 \nL 172.175538 233.994786 \nL 169.759031 233.907246 \nL 167.098114 233.646452 \nL 164.169854 233.180595 \nL 160.94999 232.471427 \nL 157.413189 231.473175 \nL 153.533452 230.131373 \nL 149.284726 228.381672 \nL 144.64182 226.148718 \nL 139.581652 223.345264 \nL 134.085018 219.871767 \nL 128.138908 215.616791 \nL 121.739582 210.458797 \nL 114.896501 204.269911 \nL 107.637212 196.922581 \nL 100.013217 188.300074 \nL 92.106779 178.311776 \nL 84.038209 166.914018 \nL 75.973082 154.13627 \nL 68.128152 140.111305 \nL 60.774283 125.10546 \nL 54.234036 109.542339 \nL 48.871533 94.010253 \nL 45.072137 79.242167 \nL 43.210978 66.059014 \nL 43.611837 55.274429 \nL 46.501174 47.57217 \nL 51.965967 43.382433 \nL 59.925914 42.792845 \nL 70.129251 45.526038 \nL 82.176199 50.996005 \nL 95.56646 58.426858 \nL 109.759707 66.996038 \nL 138.537971 84.731248 \nL 152.307099 92.910275 \nL 165.283212 100.267445 \nL 177.302633 106.709702 \nL 188.282323 112.238382 \nL 198.201671 116.912166 \nL 207.084717 120.818686 \nL 214.984858 124.055487 \nL 221.972775 126.718431 \nL 228.127494 128.895632 \nL 233.530149 130.664894 \nL 242.391263 133.237669 \nL 249.127362 134.858895 \nL 254.209601 135.827991 \nL 258.008704 136.358403 \nL 261.903913 136.659757 \nL 265.816273 136.771558 \nL 265.81324 136.848779 \nL 265.505525 137.233151 \nL 263.864198 138.98692 \nL 262.894555 140.342838 \nL 262.355095 141.388854 \nL 262.059994 142.362986 \nL 262.053866 143.18141 \nL 262.219504 143.603197 \nL 262.519334 143.903661 \nL 262.946012 144.06759 \nL 263.487092 144.083922 \nL 264.474131 143.819606 \nL 265.601604 143.21349 \nL 266.773508 142.300598 \nL 267.880788 141.150231 \nL 268.81012 139.864169 \nL 269.455642 138.569449 \nL 269.732633 137.405113 \nL 269.686034 136.767884 \nL 269.448396 136.282167 \nL 269.025398 135.97451 \nL 268.432459 135.862315 \nL 267.694074 135.952844 \nL 266.842406 136.24303 \nL 265.436551 137.022437 \nL 264.002496 138.143447 \nL 262.681034 139.499339 \nL 261.598061 140.967195 \nL 260.853784 142.419602 \nL 260.580952 143.31808 \nL 260.501676 144.120575 \nL 260.621096 144.795673 \nL 260.937714 145.315261 \nL 261.443515 145.655178 \nL 262.12414 145.795933 \nL 262.958929 145.723654 \nL 263.921099 145.43107 \nL 264.977918 144.918685 \nL 266.091074 144.195903 \nL 267.77075 142.762285 \nL 269.318272 141.010708 \nL 270.193828 139.743778 \nL 270.888951 138.464027 \nL 271.36184 137.234418 \nL 271.579315 136.119008 \nL 271.51986 135.178396 \nL 271.175971 134.465154 \nL 270.555645 134.019678 \nL 269.682506 133.867173 \nL 268.594614 134.01615 \nL 267.341951 134.458577 \nL 265.983021 135.171493 \nL 264.580853 136.119728 \nL 263.199016 137.259168 \nL 261.89799 138.540049 \nL 260.73235 139.909865 \nL 259.748717 141.31571 \nL 258.98462 142.705952 \nL 258.468079 144.031297 \nL 258.217721 145.245388 \nL 258.243199 146.305175 \nL 258.545713 147.171205 \nL 259.118474 147.807963 \nL 259.946976 148.184457 \nL 261.009052 148.2752 \nL 262.274724 148.061497 \nL 263.705935 147.533243 \nL 265.256308 146.691038 \nL 266.871115 145.548489 \nL 268.4878 144.13444 \nL 270.037139 142.494587 \nL 271.445526 140.692089 \nL 272.638346 138.806471 \nL 273.544482 136.930418 \nL 274.101764 135.164308 \nL 274.262734 133.60875 \nL 274.185145 132.939295 \nL 274.000036 132.355907 \nL 273.707786 131.867389 \nL 273.310448 131.48103 \nL 272.811701 131.202456 \nL 272.216854 131.035504 \nL 271.532717 130.982193 \nL 269.930614 131.215576 \nL 268.084502 131.88396 \nL 266.086285 132.945161 \nL 264.033372 134.339479 \nL 262.021584 135.996262 \nL 260.139247 137.839952 \nL 258.462985 139.79481 \nL 257.055335 141.788042 \nL 255.964041 143.751515 \nL 255.222597 145.62225 \nL 254.851561 147.342217 \nL 254.860171 148.857774 \nL 255.247865 150.119009 \nL 255.581304 150.639607 \nL 256.005416 151.079465 \nL 256.517787 151.433324 \nL 257.115501 151.696183 \nL 257.795118 151.863367 \nL 259.383536 151.893812 \nL 261.243945 151.495754 \nL 263.32657 150.65038 \nL 265.569519 149.352945 \nL 267.897598 147.617511 \nL 270.221891 145.481913 \nL 272.440761 143.012127 \nL 274.442779 140.304771 \nL 276.112153 137.48635 \nL 277.336754 134.707939 \nL 277.750697 133.385181 \nL 278.018268 132.134659 \nL 278.131195 130.97673 \nL 278.083433 129.930559 \nL 277.871455 129.013582 \nL 277.494462 128.240984 \nL 276.954508 127.625251 \nL 276.256556 127.175836 \nL 275.408416 126.898923 \nL 274.420601 126.797356 \nL 273.306069 126.870671 \nL 272.079924 127.115289 \nL 270.759025 127.524788 \nL 269.361525 128.09026 \nL 266.413265 129.643729 \nL 263.389576 131.671654 \nL 260.438199 134.05831 \nL 257.689943 136.687666 \nL 255.2524 139.450953 \nL 253.207653 142.250465 \nL 251.613161 145.000273 \nL 250.504794 147.624971 \nL 249.900868 150.057409 \nL 249.790013 151.182188 \nL 249.806249 152.236178 \nL 249.94866 153.212211 \nL 250.215882 154.103213 \nL 250.606145 154.902162 \nL 251.117311 155.602044 \nL 251.746878 156.195855 \nL 252.491968 156.676605 \nL 253.349304 157.037332 \nL 254.315157 157.271143 \nL 255.38527 157.371289 \nL 256.554776 157.331253 \nL 257.818098 157.14486 \nL 259.168832 156.806459 \nL 260.599625 156.311107 \nL 262.10203 155.654789 \nL 263.666392 154.834687 \nL 265.281694 153.849491 \nL 266.935467 152.699715 \nL 268.613667 151.388064 \nL 270.300627 149.919805 \nL 271.979033 148.303109 \nL 273.629947 146.549391 \nL 275.232909 144.673587 \nL 276.766114 142.694339 \nL 278.206684 140.634069 \nL 279.531051 138.518887 \nL 280.715394 136.378339 \nL 281.736228 134.244942 \nL 282.571056 132.153474 \nL 283.199068 130.140091 \nL 283.601918 128.241275 \nL 283.764469 126.492576 \nL 283.675515 124.927374 \nL 283.328379 123.575576 \nL 282.72142 122.462496 \nL 281.858309 121.607847 \nL 280.748148 121.02511 \nL 279.405298 120.721118 \nL 277.849034 120.696095 \nL 276.102946 120.94395 \nL 274.194208 121.452961 \nL 272.152662 122.206607 \nL 270.009882 123.18461 \nL 267.798174 124.364043 \nL 265.549675 125.720363 \nL 263.29549 127.228409 \nL 261.064979 128.863235 \nL 256.780447 132.418363 \nL 252.878342 136.211524 \nL 249.492525 140.097209 \nL 248.022158 142.037259 \nL 246.710317 143.958718 \nL 245.561818 145.850742 \nL 244.5796 147.703613 \nL 243.765042 149.508517 \nL 243.118262 151.257345 \nL 242.638401 152.942509 \nL 242.323867 154.556781 \nL 242.172564 156.09314 \nL 242.182068 157.544621 \nL 242.349785 158.904213 \nL 242.673063 160.164746 \nL 243.149267 161.318796 \nL 243.775826 162.358604 \nL 244.55026 163.276017 \nL 245.470138 164.062437 \nL 246.533043 164.708778 \nL 247.736496 165.205466 \nL 249.077829 165.542428 \nL 250.554065 165.709175 \nL 252.161729 165.694857 \nL 253.89666 165.48839 \nL 255.753773 165.078669 \nL 257.726806 164.454791 \nL 259.808036 163.606411 \nL 261.987963 162.524161 \nL 264.255013 161.200161 \nL 266.595189 159.628656 \nL 268.991747 157.806719 \nL 271.424937 155.735067 \nL 273.871736 153.41896 \nL 276.305686 150.869093 \nL 278.696832 148.102492 \nL 281.011841 145.143324 \nL 283.214236 142.023506 \nL 285.264921 138.783023 \nL 287.122916 135.469858 \nL 288.746346 132.139438 \nL 290.093734 128.853447 \nL 291.125494 125.678049 \nL 291.805601 122.681525 \nL 292.103386 119.931392 \nL 291.995257 117.491203 \nL 291.466281 115.417342 \nL 290.511464 113.755986 \nL 289.136545 112.540721 \nL 287.358289 111.790886 \nL 285.204112 111.511001 \nL 282.711148 111.691185 \nL 279.924732 112.308623 \nL 276.896489 113.329779 \nL 273.682111 114.713152 \nL 270.339083 116.412173 \nL 266.924488 118.378103 \nL 263.493022 120.562481 \nL 260.095374 122.919147 \nL 256.777002 125.405675 \nL 253.577343 127.984274 \nL 250.52942 130.62216 \nL 247.659794 133.291544 \nL 244.988829 135.969346 \nL 242.531158 138.636718 \nL 240.296299 141.278432 \nL 238.289365 143.882328 \nL 236.511789 146.438695 \nL 234.962063 148.939756 \nL 233.636404 151.379174 \nL 232.529402 153.751683 \nL 231.63456 156.052744 \nL 230.944782 158.278271 \nL 230.452768 160.424403 \nL 230.151352 162.487319 \nL 230.033765 164.463072 \nL 230.093832 166.347475 \nL 230.326122 168.135954 \nL 230.726049 169.823447 \nL 231.28993 171.404303 \nL 232.015009 172.872159 \nL 232.899449 174.219821 \nL 233.94229 175.439179 \nL 235.143386 176.52107 \nL 236.503316 177.455166 \nL 238.023261 178.229871 \nL 239.704857 178.832193 \nL 241.550015 179.24767 \nL 243.560697 179.460293 \nL 245.738659 179.452474 \nL 248.085137 179.205073 \nL 250.600481 178.697484 \nL 253.283721 177.907843 \nL 256.132066 176.813381 \nL 259.140332 175.390922 \nL 262.300278 173.61761 \nL 265.599893 171.471907 \nL 269.0226 168.934894 \nL 272.546419 165.991886 \nL 276.14315 162.634429 \nL 279.777562 158.862592 \nL 283.406735 154.687534 \nL 286.979608 150.134193 \nL 290.436833 145.243898 \nL 293.711138 140.076561 \nL 296.728243 134.712093 \nL 299.408544 129.250596 \nL 301.669572 123.81086 \nL 303.42933 118.526806 \nL 304.610366 113.541769 \nL 305.144405 109.000657 \nL 304.977186 105.04062 \nL 304.07305 101.781143 \nL 302.418753 99.314714 \nL 300.025942 97.699551 \nL 296.931895 96.955419 \nL 293.198296 97.063341 \nL 288.908068 97.969125 \nL 284.160599 99.590214 \nL 279.065887 101.824647 \nL 273.738244 104.560633 \nL 268.290253 107.685538 \nL 262.827566 111.093239 \nL 257.44482 114.689293 \nL 252.22296 118.393784 \nL 247.227862 122.142275 \nL 242.510116 125.885183 \nL 238.105742 129.586137 \nL 234.03754 133.219916 \nL 230.316827 136.770162 \nL 226.945356 140.227285 \nL 223.917222 143.5866 \nL 221.220671 146.846823 \nL 218.839725 150.008878 \nL 216.755583 153.075018 \nL 214.947805 156.048205 \nL 213.395264 158.931694 \nL 212.076908 161.728749 \nL 210.972332 164.442468 \nL 210.062203 167.075729 \nL 209.328556 169.631111 \nL 208.754982 172.110917 \nL 208.326743 174.517167 \nL 208.030816 176.851601 \nL 207.792326 181.310723 \nL 207.968788 185.497265 \nL 208.514197 189.416302 \nL 209.404815 193.068561 \nL 210.636848 196.449535 \nL 211.384693 198.035079 \nL 212.224585 199.547913 \nL 213.160927 200.985183 \nL 214.19913 202.343263 \nL 215.345595 203.617622 \nL 216.607719 204.802687 \nL 217.993888 205.891634 \nL 219.51348 206.876196 \nL 221.176865 207.746401 \nL 222.995386 208.490293 \nL 224.981345 209.093597 \nL 227.14795 209.539346 \nL 229.509237 209.807472 \nL 232.079953 209.874335 \nL 234.875371 209.712238 \nL 237.91103 209.288913 \nL 241.202373 208.567013 \nL 244.764245 207.503667 \nL 248.610228 206.05013 \nL 252.751772 204.151657 \nL 257.197051 201.747701 \nL 261.949538 198.77263 \nL 267.006204 195.157148 \nL 272.355364 190.830758 \nL 277.974049 185.725509 \nL 283.825088 179.78143 \nL 289.853785 172.953876 \nL 295.984537 165.222996 \nL 302.117622 156.605105 \nL 308.126635 147.165468 \nL 313.857197 137.031095 \nL 319.127842 126.401465 \nL 323.733873 115.554176 \nL 327.455179 104.841887 \nL 330.068376 94.67731 \nL 331.363327 85.504154 \nL 331.162853 77.754931 \nL 329.343434 71.800626 \nL 325.853662 67.900999 \nL 320.726637 66.166816 \nL 314.083271 66.544054 \nL 306.1247 68.825161 \nL 297.114579 72.685051 \nL 287.354274 77.732596 \nL 277.155408 83.564935 \nL 266.814511 89.812997 \nL 246.706497 102.410553 \nL 220.430051 119.176325 \nL 206.325142 128.361315 \nL 194.908744 136.098712 \nL 185.827425 142.657104 \nL 178.628275 148.277786 \nL 172.853675 153.135907 \nL 162.075338 162.536801 \nL 158.419581 165.271193 \nL 156.615099 166.41149 \nL 154.796806 167.393346 \nL 152.946071 168.209689 \nL 151.046795 168.852176 \nL 149.085247 169.311293 \nL 147.049992 169.576422 \nL 144.931842 169.635975 \nL 142.723871 169.477527 \nL 140.421494 169.088042 \nL 138.022601 168.454153 \nL 135.527747 167.562543 \nL 132.9404 166.400425 \nL 130.267242 164.95618 \nL 127.518499 163.220121 \nL 124.708286 161.185414 \nL 121.854994 158.849156 \nL 118.981601 156.213573 \nL 116.115917 153.28735 \nL 113.290779 150.086955 \nL 110.543998 146.63795 \nL 107.918126 142.976065 \nL 105.459938 139.147972 \nL 103.219567 135.211504 \nL 101.24923 131.235187 \nL 99.601608 127.296912 \nL 98.327831 123.481648 \nL 97.475121 119.878194 \nL 97.084322 116.575075 \nL 97.187334 113.655942 \nL 97.804824 111.194686 \nL 98.944294 109.25103 \nL 100.598858 107.866852 \nL 102.7468 107.063886 \nL 105.35209 106.843041 \nL 108.365796 107.185305 \nL 111.728311 108.054281 \nL 115.372211 109.399853 \nL 119.225443 111.162503 \nL 123.214593 113.277728 \nL 127.267936 115.680202 \nL 131.318047 118.307109 \nL 135.303871 121.100738 \nL 139.172134 124.010038 \nL 142.878143 126.99137 \nL 146.386007 130.008576 \nL 149.668398 133.032512 \nL 152.705954 136.040315 \nL 155.486439 139.014461 \nL 158.00376 141.941806 \nL 160.256927 144.812698 \nL 162.249046 147.620149 \nL 163.986345 150.359157 \nL 165.477304 153.026109 \nL 166.731879 155.618367 \nL 167.760852 158.133893 \nL 168.575279 160.570956 \nL 169.186044 162.927964 \nL 169.603505 165.203282 \nL 169.837235 167.395093 \nL 169.895811 169.501309 \nL 169.786681 171.519462 \nL 169.516077 173.446649 \nL 169.08896 175.279412 \nL 168.509008 177.013655 \nL 167.778624 178.64455 \nL 166.898966 180.166427 \nL 165.869999 181.572666 \nL 164.690557 182.855534 \nL 163.358428 184.006064 \nL 161.870453 185.013886 \nL 160.222641 185.867079 \nL 158.410305 186.551966 \nL 156.428237 187.052952 \nL 154.270917 187.352354 \nL 151.932748 187.430242 \nL 149.408373 187.264334 \nL 146.693026 186.829923 \nL 143.783005 186.09993 \nL 140.676189 185.045059 \nL 137.3727 183.634152 \nL 133.875659 181.834789 \nL 130.192086 179.614186 \nL 126.333912 176.940529 \nL 122.319147 173.78476 \nL 118.173087 170.122934 \nL 113.929618 165.939167 \nL 109.632487 161.229192 \nL 105.336413 156.004426 \nL 101.107914 150.296324 \nL 97.02565 144.160688 \nL 93.180043 137.681367 \nL 89.671917 130.97261 \nL 86.60994 124.179303 \nL 84.106688 117.47411 \nL 82.273319 111.050933 \nL 81.21298 105.114527 \nL 81.013387 99.866536 \nL 81.739241 95.489319 \nL 83.425387 92.129695 \nL 86.071665 89.884968 \nL 89.640425 88.793931 \nL 94.057227 88.834438 \nL 99.214944 89.928198 \nL 104.980754 91.951858 \nL 111.20522 94.752141 \nL 117.732207 98.162394 \nL 124.408425 102.017763 \nL 131.091592 106.167129 \nL 137.656488 110.48087 \nL 143.998743 114.854439 \nL 150.036392 119.208533 \nL 155.70962 123.486829 \nL 160.979128 127.652389 \nL 165.823661 131.683617 \nL 170.237098 135.570296 \nL 174.225475 139.31018 \nL 177.80413 142.90621 \nL 180.995159 146.364386 \nL 183.825213 149.692272 \nL 186.323687 152.897934 \nL 188.521265 155.989311 \nL 190.448795 158.97382 \nL 192.13645 161.858191 \nL 193.613134 164.648395 \nL 196.04063 169.966549 \nL 197.925711 174.962497 \nL 199.430727 179.662127 \nL 201.258172 186.198115 \nL 203.401808 194.025938 \nL 204.515996 197.580244 \nL 205.739986 200.900795 \nL 207.129868 203.986927 \nL 208.742191 206.832418 \nL 210.637253 209.423571 \nL 211.711419 210.616775 \nL 212.882085 211.736398 \nL 214.159137 212.777183 \nL 215.553208 213.732632 \nL 217.075755 214.594796 \nL 218.739123 215.354004 \nL 220.556589 215.998547 \nL 222.542405 216.514323 \nL 224.711805 216.884406 \nL 227.080982 217.088586 \nL 229.667033 217.102802 \nL 232.487821 216.898558 \nL 235.561785 216.442275 \nL 238.907618 215.694606 \nL 242.543824 214.609778 \nL 246.488087 213.134985 \nL 250.756414 211.209964 \nL 255.362001 208.766842 \nL 260.313727 205.730479 \nL 265.614263 202.019557 \nL 271.257664 197.548742 \nL 277.226473 192.232329 \nL 283.488216 185.989825 \nL 289.991452 178.753988 \nL 296.661466 170.481623 \nL 303.395885 161.16725 \nL 310.06079 150.859253 \nL 316.488057 139.677159 \nL 322.474922 127.827649 \nL 327.787079 115.615442 \nL 332.166504 103.444247 \nL 335.345057 91.802487 \nL 337.064086 81.230012 \nL 337.099045 72.265541 \nL 335.286469 65.380344 \nL 331.548976 60.909952 \nL 325.913208 59.000089 \nL 318.515781 59.58233 \nL 309.594652 62.387871 \nL 299.466494 66.996843 \nL 288.494224 72.909459 \nL 277.051149 79.620125 \nL 254.110215 93.720845 \nL 232.817375 106.831394 \nL 214.365148 117.940378 \nL 181.721491 137.348403 \nL 173.120902 142.678325 \nL 160.790004 150.673563 \nL 156.177814 153.612161 \nL 152.138732 155.925065 \nL 150.251826 156.851179 \nL 148.417825 157.622535 \nL 146.614841 158.236608 \nL 144.824473 158.689885 \nL 143.031585 158.978076 \nL 141.224115 159.09636 \nL 139.392916 159.039633 \nL 137.531655 158.802714 \nL 135.63672 158.380669 \nL 133.707189 157.769089 \nL 131.744808 156.964453 \nL 129.754004 155.964519 \nL 127.741904 154.768754 \nL 125.718354 153.378829 \nL 123.695944 151.799087 \nL 121.689965 150.037087 \nL 119.718366 148.104085 \nL 117.801622 146.015477 \nL 115.962512 143.791191 \nL 114.225799 141.455884 \nL 112.617811 139.039014 \nL 111.165859 136.574658 \nL 109.897556 134.101052 \nL 108.839977 131.659844 \nL 108.018736 129.295017 \nL 107.456999 127.051574 \nL 107.174443 124.973962 \nL 107.186273 123.104349 \nL 107.502321 121.480905 \nL 108.126318 120.136155 \nL 109.055422 119.095627 \nL 110.279993 118.37681 \nL 111.783675 117.98861 \nL 113.543859 117.931301 \nL 115.532375 118.196969 \nL 117.716476 118.770397 \nL 120.060012 119.630287 \nL 122.524686 120.750681 \nL 125.071335 122.102479 \nL 127.661161 123.654929 \nL 130.256848 125.376901 \nL 132.823455 127.238009 \nL 135.329143 129.209447 \nL 137.745671 131.26457 \nL 140.048664 133.379229 \nL 142.217704 135.531912 \nL 144.236248 137.703693 \nL 146.091415 139.878102 \nL 147.773687 142.040865 \nL 149.276514 144.17964 \nL 150.595928 146.283731 \nL 151.730107 148.343779 \nL 152.678971 150.351493 \nL 153.443787 152.299388 \nL 154.02682 154.180553 \nL 154.431016 155.988463 \nL 154.659732 157.716798 \nL 154.716503 159.359254 \nL 154.604865 160.909435 \nL 154.328216 162.360728 \nL 153.889704 163.706172 \nL 153.29218 164.938376 \nL 152.538161 166.049409 \nL 151.629847 167.030752 \nL 150.569158 167.873197 \nL 149.357809 168.566819 \nL 147.997419 169.100931 \nL 146.489646 169.464064 \nL 144.83636 169.644026 \nL 143.039846 169.627908 \nL 141.103053 169.402267 \nL 139.029875 168.953247 \nL 136.825462 168.266887 \nL 134.496581 167.329451 \nL 132.052006 166.12794 \nL 129.502932 164.650673 \nL 126.86342 162.888057 \nL 124.150837 160.83349 \nL 121.386272 158.484403 \nL 118.594953 155.84346 \nL 115.806515 152.919823 \nL 113.055194 149.730432 \nL 110.379842 146.301245 \nL 107.823675 142.668254 \nL 105.433769 138.878167 \nL 103.260205 134.98856 \nL 101.35482 131.067327 \nL 99.769603 127.191294 \nL 98.554719 123.443915 \nL 97.756226 119.912038 \nL 97.413667 116.6819 \nL 97.557606 113.834585 \nL 98.207431 111.441394 \nL 99.369558 109.559552 \nL 101.036294 108.228795 \nL 103.185468 107.469214 \nL 105.781011 107.280638 \nL 108.774371 107.643712 \nL 112.106748 108.52233 \nL 115.71185 109.867235 \nL 119.519039 111.620173 \nL 123.456466 113.718219 \nL 127.45401 116.097656 \nL 131.445829 118.697287 \nL 135.37232 121.460865 \nL 139.181482 124.338566 \nL 142.829678 127.287757 \nL 146.281842 130.273019 \nL 149.511248 133.265724 \nL 152.498914 136.243322 \nL 155.232793 139.188436 \nL 157.706826 142.087975 \nL 159.919933 144.932216 \nL 161.875019 147.714052 \nL 163.578036 150.428319 \nL 165.037144 153.071232 \nL 166.261948 155.639948 \nL 167.262861 158.132223 \nL 168.050565 160.546129 \nL 168.635582 162.879861 \nL 169.027923 165.13156 \nL 169.236826 167.299204 \nL 169.27056 169.380481 \nL 169.136292 171.372703 \nL 168.839992 173.272709 \nL 168.386391 175.076774 \nL 167.778965 176.780521 \nL 167.01994 178.378831 \nL 166.110334 179.865698 \nL 165.049999 181.234136 \nL 163.837696 182.476026 \nL 162.471178 183.581998 \nL 160.947302 184.541237 \nL 159.262141 185.341334 \nL 157.411143 185.968132 \nL 155.389315 186.405524 \nL 153.19143 186.635335 \nL 150.812304 186.637151 \nL 148.247116 186.388259 \nL 145.4918 185.863628 \nL 142.543514 185.035989 \nL 139.401211 183.876073 \nL 136.066322 182.353032 \nL 132.543537 180.435161 \nL 128.841725 178.09093 \nL 124.974975 175.290408 \nL 120.963745 172.007243 \nL 116.836061 168.221121 \nL 112.628782 163.920868 \nL 108.388757 159.108042 \nL 104.173806 153.800985 \nL 100.053353 148.039017 \nL 96.108513 141.886398 \nL 92.431365 135.435466 \nL 89.123234 128.808212 \nL 86.291756 122.155472 \nL 84.046564 115.652968 \nL 82.493698 109.493713 \nL 81.728955 103.876773 \nL 81.830576 98.993021 \nL 82.852162 95.009417 \nL 84.816516 92.053905 \nL 87.711509 90.203441 \nL 91.488674 89.477276 \nL 96.064925 89.836839 \nL 101.327449 91.192346 \nL 107.141188 93.414738 \nL 113.357883 96.350844 \nL 119.825636 99.838943 \nL 126.397731 103.722521 \nL 132.939959 107.8606 \nL 139.335833 112.133971 \nL 145.489607 116.44773 \nL 151.327264 120.730744 \nL 156.795893 124.933104 \nL 161.861862 129.022549 \nL 166.508314 132.980607 \nL 170.73233 136.798945 \nL 174.542066 140.476254 \nL 177.954083 144.015753 \nL 180.990957 147.4233 \nL 183.679247 150.706054 \nL 186.047823 153.871552 \nL 188.126531 156.927175 \nL 189.945168 159.879809 \nL 191.53273 162.735688 \nL 192.916868 165.500363 \nL 195.17681 170.775047 \nL 196.909401 175.736097 \nL 198.267582 180.408416 \nL 199.866655 186.917335 \nL 202.54266 198.307274 \nL 203.507572 201.657057 \nL 204.591799 204.79256 \nL 205.842026 207.71433 \nL 207.30726 210.418196 \nL 209.041547 212.893596 \nL 210.02849 214.039977 \nL 211.106554 215.121084 \nL 212.28505 216.13252 \nL 213.574076 217.068804 \nL 214.984588 217.923178 \nL 216.528477 218.687354 \nL 218.218624 219.351233 \nL 220.06896 219.902571 \nL 222.094502 220.326568 \nL 224.311367 220.605425 \nL 226.736754 220.717809 \nL 229.388886 220.638246 \nL 232.286879 220.336468 \nL 235.450531 219.776669 \nL 238.899996 218.916745 \nL 242.65531 217.707527 \nL 246.735711 216.092081 \nL 251.158724 214.00519 \nL 255.938917 211.373136 \nL 261.08626 208.114027 \nL 266.604031 204.138965 \nL 272.486166 199.354429 \nL 278.713992 193.666362 \nL 285.252353 186.986496 \nL 292.04514 179.241504 \nL 299.01043 170.385383 \nL 306.035578 160.415179 \nL 312.972844 149.38953 \nL 319.636518 137.448421 \nL 325.802676 124.831117 \nL 331.213108 111.887675 \nL 335.584794 99.07806 \nL 338.626205 86.952767 \nL 340.060381 76.110822 \nL 339.653426 67.135766 \nL 337.244991 60.517676 \nL 332.775455 56.576583 \nL 326.303498 55.407152 \nL 318.008983 56.861777 \nL 308.178693 60.579147 \nL 297.176901 66.051169 \nL 285.406594 72.708996 \nL 273.269255 80.005156 \nL 238.006029 101.633228 \nL 217.641905 113.668446 \nL 200.643474 123.31723 \nL 155.425874 148.337151 \nL 150.909751 150.668467 \nL 146.991111 152.389463 \nL 145.179098 153.02867 \nL 143.432972 153.521409 \nL 141.733335 153.867227 \nL 140.064333 154.065027 \nL 138.413412 154.113344 \nL 136.771078 154.010603 \nL 135.130732 153.755374 \nL 133.488501 153.346629 \nL 131.843092 152.784017 \nL 130.195705 152.068146 \nL 128.549901 151.200866 \nL 126.911524 150.185568 \nL 125.288589 149.027493 \nL 123.691192 147.733989 \nL 122.131339 146.314818 \nL 120.622806 144.782331 \nL 119.18089 143.151667 \nL 117.822173 141.440794 \nL 116.564172 139.670505 \nL 115.424952 137.864265 \nL 114.422677 136.047903 \nL 113.575092 134.249173 \nL 112.898953 132.497168 \nL 112.40946 130.82157 \nL 112.11965 129.251821 \nL 112.039827 127.816216 \nL 112.177045 126.540953 \nL 112.534665 125.449222 \nL 113.112064 124.56043 \nL 113.904422 123.889545 \nL 114.902743 123.446656 \nL 116.093975 123.236747 \nL 117.461344 123.259732 \nL 118.984809 123.510739 \nL 120.641631 123.98057 \nL 122.407068 124.656311 \nL 124.255066 125.522084 \nL 126.158999 126.559811 \nL 130.029391 129.072433 \nL 133.818405 132.033272 \nL 137.353122 135.28732 \nL 140.496311 138.696194 \nL 143.148603 142.142252 \nL 145.245624 145.527747 \nL 146.073932 147.171856 \nL 146.752063 148.771364 \nL 147.278974 150.317922 \nL 147.654553 151.803625 \nL 147.879425 153.220895 \nL 147.95479 154.562356 \nL 147.882261 155.820714 \nL 147.663771 156.988689 \nL 147.301467 158.058907 \nL 146.797669 159.02385 \nL 146.154827 159.875792 \nL 145.375528 160.606762 \nL 144.462515 161.208528 \nL 143.418755 161.672587 \nL 142.247508 161.990221 \nL 140.952435 162.152515 \nL 139.537734 162.150459 \nL 138.008296 161.97508 \nL 136.369885 161.617624 \nL 134.629336 161.069776 \nL 132.794769 160.32394 \nL 130.875828 159.373616 \nL 128.883906 158.213802 \nL 126.832393 156.841502 \nL 124.736858 155.256261 \nL 122.61529 153.460777 \nL 120.488188 151.46155 \nL 118.378671 149.269499 \nL 116.312446 146.90057 \nL 114.31768 144.376241 \nL 112.424719 141.723873 \nL 110.665668 138.976849 \nL 109.073768 136.174391 \nL 107.682625 133.361074 \nL 106.525226 130.585892 \nL 105.632822 127.900956 \nL 105.033701 125.359756 \nL 104.75192 123.015156 \nL 104.80603 120.917171 \nL 105.207991 119.110708 \nL 105.962227 117.633475 \nL 107.065052 116.514203 \nL 108.504421 115.771407 \nL 110.260111 115.41282 \nL 112.304341 115.435446 \nL 114.602738 115.826318 \nL 117.115668 116.563856 \nL 119.79974 117.619524 \nL 122.609444 118.959873 \nL 125.498796 120.548462 \nL 128.42281 122.347748 \nL 131.338841 124.320676 \nL 134.207634 126.431944 \nL 136.994077 128.64889 \nL 139.667702 130.942063 \nL 142.20289 133.285464 \nL 144.578848 135.656525 \nL 146.779407 138.035954 \nL 148.792647 140.407401 \nL 150.610469 142.757121 \nL 152.228066 145.073554 \nL 153.643395 147.346927 \nL 154.856656 149.568901 \nL 155.869781 151.732237 \nL 156.685985 153.830497 \nL 157.309347 155.857787 \nL 157.744461 157.808534 \nL 157.99613 159.677291 \nL 158.069115 161.458601 \nL 157.96795 163.146814 \nL 157.696783 164.735986 \nL 157.259286 166.219753 \nL 156.658576 167.591214 \nL 155.897208 168.842833 \nL 154.977167 169.966344 \nL 153.899923 170.952671 \nL 152.666495 171.791827 \nL 151.277564 172.472852 \nL 149.7336 172.983772 \nL 148.03505 173.311546 \nL 146.182529 173.442085 \nL 144.177074 173.3603 \nL 142.020438 173.050202 \nL 139.715415 172.495118 \nL 137.266236 171.677936 \nL 134.678999 170.581555 \nL 131.962139 169.189412 \nL 129.126973 167.486247 \nL 126.18824 165.459008 \nL 123.164695 163.097991 \nL 120.079666 160.398206 \nL 116.961579 157.360901 \nL 113.844404 153.995265 \nL 110.767935 150.320183 \nL 107.777844 146.365919 \nL 104.92545 142.17554 \nL 102.267106 137.80592 \nL 99.863104 133.327992 \nL 97.776092 128.825999 \nL 96.068939 124.395601 \nL 94.802112 120.140642 \nL 94.03067 116.168582 \nL 93.801038 112.584911 \nL 94.147778 109.486879 \nL 95.090765 106.957198 \nL 96.632987 105.05845 \nL 98.759307 103.829021 \nL 101.436369 103.280899 \nL 104.613812 103.399988 \nL 108.226601 104.148471 \nL 112.198356 105.469259 \nL 116.44533 107.291462 \nL 120.880592 109.536464 \nL 125.418098 112.123541 \nL 129.976261 114.974761 \nL 134.480809 118.018583 \nL 138.866807 121.19214 \nL 143.079826 124.442368 \nL 147.076351 127.726056 \nL 150.823523 131.009238 \nL 154.298413 134.266095 \nL 157.486968 137.477684 \nL 160.382748 140.630601 \nL 162.985628 143.715752 \nL 165.300497 146.727263 \nL 167.336043 149.66157 \nL 169.103674 152.516739 \nL 170.616558 155.291861 \nL 171.888831 157.986671 \nL 172.934929 160.601229 \nL 173.769069 163.135707 \nL 174.404826 165.590232 \nL 174.854836 167.96477 \nL 175.130561 170.259066 \nL 175.242148 172.472561 \nL 175.198324 174.604348 \nL 175.006352 176.653099 \nL 174.67201 178.617052 \nL 174.1996 180.493884 \nL 173.591983 182.280701 \nL 172.850609 183.973907 \nL 171.975579 185.569125 \nL 170.965693 187.061079 \nL 169.818519 188.443459 \nL 168.530456 189.70878 \nL 167.096814 190.84819 \nL 165.511894 191.851297 \nL 163.76909 192.705941 \nL 161.860999 193.397984 \nL 159.779571 193.911041 \nL 157.516285 194.226247 \nL 155.062354 194.321987 \nL 152.409024 194.173669 \nL 149.547917 193.753534 \nL 146.471475 193.030529 \nL 143.17351 191.970305 \nL 139.649889 190.535403 \nL 135.899372 188.68568 \nL 131.924626 186.379087 \nL 127.733404 183.572929 \nL 123.339951 180.225706 \nL 118.766567 176.299686 \nL 114.045335 171.764328 \nL 109.219897 166.600606 \nL 104.34723 160.806274 \nL 99.499151 154.401861 \nL 94.763374 147.437019 \nL 90.243789 139.996643 \nL 86.059554 132.205688 \nL 82.342665 124.2315 \nL 79.233595 116.282276 \nL 76.874892 108.600227 \nL 75.402723 101.448796 \nL 74.936852 95.093993 \nL 75.569882 89.781397 \nL 77.357102 85.711845 \nL 80.308395 83.019741 \nL 84.383809 81.758369 \nL 89.493742 81.895305 \nL 95.504222 83.319271 \nL 102.246647 85.856883 \nL 109.530645 89.295876 \nL 117.158123 93.409908 \nL 124.936641 97.980754 \nL 132.690456 102.814785 \nL 140.268336 107.752541 \nL 147.54791 112.671851 \nL 154.43687 117.486116 \nL 160.871698 122.139441 \nL 166.814721 126.600404 \nL 172.250236 130.855765 \nL 177.180324 134.904789 \nL 181.620781 138.754651 \nL 185.597423 142.416947 \nL 189.142924 145.905183 \nL 192.294193 149.233163 \nL 195.090303 152.413947 \nL 197.570893 155.459319 \nL 199.775002 158.379556 \nL 203.502237 163.877946 \nL 206.547445 168.961665 \nL 214.935051 183.831687 \nL 217.353031 187.251762 \nL 218.645521 188.812793 \nL 220.011736 190.268244 \nL 221.464678 191.612006 \nL 223.01709 192.836648 \nL 224.681574 193.933234 \nL 226.470681 194.891124 \nL 228.396972 195.697734 \nL 230.473034 196.338298 \nL 232.711462 196.795579 \nL 235.124782 197.049592 \nL 237.725305 197.077313 \nL 240.524927 196.852405 \nL 243.534813 196.344987 \nL 246.764983 195.521472 \nL 250.223766 194.344548 \nL 253.9171 192.773339 \nL 257.847643 190.763857 \nL 262.013692 188.269852 \nL 266.407867 185.244211 \nL 271.015594 181.64098 \nL 275.813357 177.418315 \nL 280.766745 172.542356 \nL 285.828452 166.992206 \nL 290.936294 160.765964 \nL 296.011481 153.88766 \nL 300.957441 146.414587 \nL 305.659589 138.444245 \nL 309.986418 130.119735 \nL 313.792466 121.632066 \nL 316.923501 113.217661 \nL 319.224103 105.149519 \nL 320.547595 97.721252 \nL 320.767678 91.22434 \nL 319.790667 85.920924 \nL 317.566734 82.015816 \nL 314.098325 79.632953 \nL 309.444023 78.801213 \nL 303.71676 79.453009 \nL 297.076222 81.436179 \nL 289.716445 84.53666 \nL 281.85044 88.506904 \nL 273.694169 93.094278 \nL 265.452137 98.064629 \nL 257.306191 103.218126 \nL 249.408246 108.396938 \nL 241.877018 113.485881 \nL 234.798075 118.408214 \nL 228.226339 123.118856 \nL 222.190071 127.596767 \nL 216.695554 131.837853 \nL 211.731813 135.848955 \nL 207.27502 139.643212 \nL 203.292335 143.236715 \nL 199.745113 146.646206 \nL 196.591466 149.887699 \nL 193.788245 152.975677 \nL 191.292519 155.922727 \nL 187.058834 161.434511 \nL 183.583081 166.485713 \nL 175.241579 179.148406 \nL 172.523054 182.538696 \nL 171.091075 184.065377 \nL 169.58989 185.472327 \nL 168.004993 186.752377 \nL 166.322525 187.896904 \nL 164.529154 188.895649 \nL 162.611985 189.736556 \nL 160.558525 190.405575 \nL 158.356689 190.886432 \nL 155.994857 191.160437 \nL 153.462007 191.206288 \nL 150.747911 190.999886 \nL 147.843422 190.514237 \nL 144.740871 189.719429 \nL 141.434573 188.582751 \nL 137.921474 187.069009 \nL 134.201947 185.141111 \nL 130.280752 182.761014 \nL 126.168168 179.891159 \nL 121.88127 176.496432 \nL 117.445378 172.546852 \nL 112.895585 168.021001 \nL 108.278271 162.910194 \nL 103.652525 157.223382 \nL 99.091237 150.992516 \nL 94.681658 144.27791 \nL 90.525106 137.173032 \nL 86.735518 129.807676 \nL 83.436518 122.348493 \nL 80.756825 114.995777 \nL 78.823826 107.975425 \nL 77.755634 101.525974 \nL 77.652013 95.881082 \nL 78.58517 91.249227 \nL 80.591468 87.793482 \nL 83.665428 85.61468 \nL 87.757104 84.741371 \nL 92.77362 85.128509 \nL 98.584857 86.665587 \nL 105.03269 89.192219 \nL 111.942478 92.518272 \nL 119.135196 96.44455 \nL 126.438658 100.780763 \nL 133.69667 105.358648 \nL 140.775335 110.039403 \nL 147.566507 114.716013 \nL 153.9886 119.311582 \nL 159.985387 123.77538 \nL 165.523412 128.077654 \nL 170.588628 132.204403 \nL 175.182778 136.15269 \nL 179.319854 139.926762 \nL 183.022867 143.535055 \nL 186.321063 146.988058 \nL 189.247592 150.296864 \nL 191.837647 153.472244 \nL 194.127025 156.524125 \nL 196.151047 159.461335 \nL 197.943791 162.291549 \nL 200.96267 167.656069 \nL 203.416595 172.658028 \nL 206.460983 179.537548 \nL 209.203244 185.709726 \nL 211.069007 189.437057 \nL 213.084366 192.846158 \nL 215.34141 195.91869 \nL 216.588314 197.319572 \nL 217.928936 198.623349 \nL 219.374587 199.823404 \nL 220.936868 200.911696 \nL 222.62775 201.878557 \nL 224.459636 202.712417 \nL 226.445378 203.399531 \nL 228.598285 203.923644 \nL 230.932074 204.265633 \nL 233.460768 204.403135 \nL 236.198551 204.310123 \nL 239.159512 203.956516 \nL 242.357305 203.307799 \nL 245.80468 202.324705 \nL 249.512855 200.963041 \nL 253.490704 199.17371 \nL 257.743707 196.903077 \nL 262.272656 194.093781 \nL 267.072038 190.686234 \nL 272.12815 186.620991 \nL 277.416828 181.842231 \nL 282.900948 176.302623 \nL 288.527715 169.969727 \nL 294.225904 162.833985 \nL 299.903398 154.918134 \nL 305.445315 146.287465 \nL 310.713359 137.05975 \nL 315.546955 127.413218 \nL 319.766946 117.590167 \nL 323.182385 107.893622 \nL 325.600818 98.674599 \nL 326.841848 90.308657 \nL 326.753198 83.162621 \nL 325.22736 77.55517 \nL 322.216543 73.717648 \nL 317.74294 71.76351 \nL 311.902059 71.673641 \nL 304.857607 73.301941 \nL 296.828366 76.400007 \nL 288.069029 80.655205 \nL 278.848237 85.733015 \nL 269.427473 91.314843 \nL 260.043659 97.125326 \nL 242.146239 108.622391 \nL 226.248062 119.174021 \nL 212.812588 128.443049 \nL 207.031871 132.60449 \nL 201.842924 136.478605 \nL 197.20566 140.091257 \nL 193.072902 143.468154 \nL 189.39369 146.633 \nL 183.187447 152.406368 \nL 178.18247 157.538524 \nL 166.983621 169.68693 \nL 163.648781 172.686083 \nL 161.944099 173.974038 \nL 160.189222 175.111748 \nL 158.36747 176.09053 \nL 156.463849 176.900201 \nL 154.464944 177.529029 \nL 152.35886 177.963706 \nL 150.135227 178.189304 \nL 147.78527 178.189295 \nL 145.301931 177.945602 \nL 142.680089 177.43874 \nL 139.916844 176.648055 \nL 137.01189 175.552111 \nL 133.967974 174.129216 \nL 130.791443 172.358199 \nL 127.492854 170.219389 \nL 124.087679 167.695951 \nL 120.597024 164.775482 \nL 117.048359 161.451956 \nL 113.476185 157.727914 \nL 109.922616 153.616948 \nL 106.437678 149.146188 \nL 103.079345 144.358693 \nL 99.913063 139.31537 \nL 97.010725 134.096102 \nL 94.448939 128.799674 \nL 92.306555 123.542014 \nL 90.661381 118.452583 \nL 89.586239 113.668685 \nL 89.144568 109.327899 \nL 89.385878 105.559334 \nL 90.341532 102.474285 \nL 92.021284 100.157844 \nL 94.411152 98.662336 \nL 97.472924 98.003791 \nL 101.145503 98.161949 \nL 105.348007 99.083883 \nL 109.98439 100.690466 \nL 114.948939 102.884718 \nL 120.132202 105.560721 \nL 125.426613 108.611909 \nL 130.731334 111.937842 \nL 135.95603 115.448891 \nL 141.023371 119.068976 \nL 145.870302 122.73642 \nL 150.448241 126.403409 \nL 154.722411 130.034541 \nL 158.670596 133.604904 \nL 162.281499 137.098004 \nL 165.552957 140.503804 \nL 168.490136 143.817011 \nL 171.103824 147.035656 \nL 173.408888 150.159953 \nL 175.42294 153.191486 \nL 177.165202 156.132593 \nL 178.655589 158.985946 \nL 179.913973 161.754286 \nL 180.95963 164.44025 \nL 181.810815 167.046278 \nL 182.48447 169.574555 \nL 182.996037 172.026991 \nL 183.359334 174.405229 \nL 183.586506 176.710623 \nL 183.68802 178.944269 \nL 183.547705 183.199305 \nL 182.989961 187.173454 \nL 182.042762 190.864765 \nL 181.425941 192.6021 \nL 180.712643 194.265101 \nL 179.900651 195.851472 \nL 178.986618 197.358264 \nL 177.966107 198.781742 \nL 176.83361 200.117278 \nL 175.582578 201.359189 \nL 174.205429 202.500551 \nL 172.693575 203.533011 \nL 171.037433 204.446537 \nL 169.226459 205.229142 \nL 167.249196 205.866585 \nL 165.09333 206.342012 \nL 162.745789 206.635577 \nL 160.192895 206.724008 \nL 157.420544 206.580182 \nL 154.41451 206.172653 \nL 151.160805 205.465252 \nL 147.646197 204.416696 \nL 143.858886 202.980376 \nL 139.789369 201.104336 \nL 135.431555 198.731605 \nL 130.784159 195.801014 \nL 125.852417 192.248764 \nL 120.650139 188.010907 \nL 115.202133 183.027068 \nL 109.546954 177.245702 \nL 103.739837 170.63102 \nL 97.855733 163.171778 \nL 91.992035 154.891603 \nL 86.270658 145.860299 \nL 80.8388 136.20487 \nL 75.867705 126.118301 \nL 71.548602 115.863434 \nL 68.085196 105.768926 \nL 65.682296 96.214593 \nL 64.530706 87.604666 \nL 64.789572 80.330155 \nL 66.568162 74.724691 \nL 69.909776 71.021691 \nL 74.781182 69.322019 \nL 81.070052 69.580717 \nL 88.591825 71.616554 \nL 97.105321 75.142813 \nL 106.334567 79.811407 \nL 115.993023 85.259896 \nL 125.806214 91.151753 \nL 144.960239 103.197847 \nL 162.364239 114.466838 \nL 177.29733 124.375424 \nL 189.607557 132.886447 \nL 199.49931 140.188354 \nL 207.352088 146.50861 \nL 213.599455 152.035723 \nL 218.660759 156.900301 \nL 228.43259 166.570658 \nL 231.90986 169.472037 \nL 233.661574 170.703505 \nL 235.449124 171.780292 \nL 237.290032 172.694228 \nL 239.199781 173.43573 \nL 241.191923 173.993829 \nL 243.278144 174.35615 \nL 245.468291 174.50898 \nL 247.770307 174.437318 \nL 250.190123 174.125019 \nL 252.731472 173.555008 \nL 255.395632 172.709574 \nL 258.181101 171.570836 \nL 261.083196 170.12135 \nL 264.09358 168.344869 \nL 267.199768 166.227384 \nL 270.384548 163.758352 \nL 273.625446 160.93218 \nL 276.894178 157.749914 \nL 280.156235 154.221129 \nL 283.370583 150.365846 \nL 286.48962 146.216445 \nL 289.459465 141.819257 \nL 292.220631 137.235643 \nL 294.709254 132.542282 \nL 296.858846 127.830364 \nL 298.602676 123.203365 \nL 299.876666 118.773412 \nL 300.622751 114.656134 \nL 300.792449 110.964318 \nL 300.350353 107.800944 \nL 299.277233 105.252234 \nL 297.572369 103.381559 \nL 295.254751 102.225197 \nL 292.362982 101.790358 \nL 288.953777 102.055923 \nL 285.099176 102.975632 \nL 280.882698 104.483335 \nL 276.394907 106.499339 \nL 271.728797 108.937199 \nL 266.975397 111.709837 \nL 262.220021 114.734648 \nL 257.539359 117.937081 \nL 252.999507 121.252806 \nL 248.654945 124.62853 \nL 244.548333 128.021732 \nL 240.710964 131.399759 \nL 237.16372 134.738453 \nL 233.918314 138.020659 \nL 230.978699 141.234765 \nL 228.342518 144.373355 \nL 226.002481 147.432078 \nL 223.947649 150.408742 \nL 222.164555 153.302577 \nL 220.638182 156.11371 \nL 219.352753 158.842767 \nL 218.292401 161.490596 \nL 217.441672 164.05807 \nL 216.785923 166.545968 \nL 216.311603 168.954865 \nL 216.006465 171.285111 \nL 215.859694 173.536741 \nL 215.861979 175.709472 \nL 216.005551 177.802636 \nL 216.284186 179.815163 \nL 216.693182 181.745511 \nL 217.22932 183.591624 \nL 217.890821 185.35084 \nL 218.67729 187.019827 \nL 219.589664 188.594474 \nL 220.630149 190.069777 \nL 221.802166 191.439688 \nL 223.110287 192.696979 \nL 224.560173 193.833054 \nL 226.158503 194.837741 \nL 227.912888 195.69907 \nL 229.831777 196.403024 \nL 231.924339 196.933269 \nL 234.2003 197.270857 \nL 236.669745 197.393933 \nL 239.342872 197.277447 \nL 242.229655 196.89289 \nL 245.33942 196.208098 \nL 248.680324 195.187139 \nL 252.258663 193.79038 \nL 256.078047 191.974801 \nL 260.138377 189.694632 \nL 264.434595 186.902493 \nL 268.955246 183.551109 \nL 273.680765 179.595851 \nL 278.581609 174.998191 \nL 283.616227 169.730195 \nL 288.729011 163.780172 \nL 293.848387 157.15929 \nL 298.885323 149.908886 \nL 303.732582 142.107817 \nL 308.265146 133.878803 \nL 312.342308 125.392435 \nL 315.811812 116.867051 \nL 318.516397 108.562889 \nL 320.302833 100.769219 \nL 321.032983 93.784304 \nL 320.596094 87.889398 \nL 318.920843 83.32023 \nL 315.985357 80.240423 \nL 311.823376 78.722408 \nL 306.525049 78.739964 \nL 300.231823 80.174464 \nL 293.125855 82.83358 \nL 285.415475 86.478278 \nL 277.318978 90.852274 \nL 269.049119 95.708554 \nL 260.800176 100.829029 \nL 252.738866 106.035794 \nL 244.999348 111.194583 \nL 237.681926 116.212343 \nL 230.854653 121.03113 \nL 224.556836 125.620594 \nL 218.803561 129.970424 \nL 213.590517 134.083745 \nL 208.898617 137.971836 \nL 204.698139 141.65019 \nL 200.952233 145.13577 \nL 197.619782 148.445295 \nL 194.657636 151.594153 \nL 192.022303 154.595927 \nL 187.563365 160.202436 \nL 183.92587 165.334095 \nL 175.377353 178.196215 \nL 172.654694 181.64873 \nL 171.229462 183.207072 \nL 169.740267 184.646462 \nL 168.172241 185.960074 \nL 166.51124 187.139661 \nL 164.743717 188.175401 \nL 162.856629 189.055725 \nL 160.837371 189.767112 \nL 158.673782 190.293915 \nL 156.354184 190.618126 \nL 153.867496 190.719209 \nL 151.203408 190.57391 \nL 148.352656 190.15616 \nL 145.307371 189.437022 \nL 142.061573 188.384788 \nL 138.611773 186.965275 \nL 134.957719 185.142318 \nL 131.103316 182.878665 \nL 127.057699 180.137276 \nL 122.836453 176.883134 \nL 118.463018 173.085776 \nL 113.970157 168.722467 \nL 109.401448 163.782168 \nL 104.812691 158.270195 \nL 100.273063 152.213364 \nL 95.865758 145.665283 \nL 91.687879 138.711163 \nL 87.849267 131.471302 \nL 84.469935 124.102177 \nL 81.675901 116.794121 \nL 79.593269 109.764503 \nL 78.340742 103.246079 \nL 78.020954 97.470793 \nL 78.711401 92.650379 \nL 80.456083 88.956456 \nL 83.259042 86.503079 \nL 87.081019 85.335258 \nL 91.839984 85.425692 \nL 97.415834 86.680522 \nL 103.658645 88.953048 \nL 110.399519 92.062486 \nL 117.462416 95.814301 \nL 124.675441 100.018561 \nL 131.880346 104.503991 \nL 138.939419 109.126597 \nL 145.739565 113.77313 \nL 152.193712 118.360419 \nL 158.240105 122.831958 \nL 163.840072 127.153116 \nL 168.974912 131.306019 \nL 173.642373 135.284819 \nL 177.853158 139.09169 \nL 181.627663 142.733673 \nL 184.99313 146.220393 \nL 187.981235 149.562452 \nL 190.626137 152.770401 \nL 192.962959 155.854122 \nL 195.026625 158.822514 \nL 196.851029 161.683386 \nL 199.909242 167.108366 \nL 202.371269 172.17101 \nL 205.372036 179.145974 \nL 208.876419 187.367948 \nL 210.682691 191.026528 \nL 212.654506 194.374963 \nL 214.879158 197.39496 \nL 216.112994 198.772686 \nL 217.442248 200.055434 \nL 218.878038 201.236631 \nL 220.431847 202.308288 \nL 222.1156 203.260775 \nL 223.941714 204.082559 \nL 225.923133 204.759914 \nL 228.073316 205.276581 \nL 230.406204 205.61339 \nL 232.936122 205.747877 \nL 235.677627 205.653841 \nL 238.645267 205.300924 \nL 241.853247 204.654202 \nL 245.314962 203.673819 \nL 249.042369 202.314779 \nL 253.045174 200.526905 \nL 257.329787 198.255145 \nL 261.897998 195.44033 \nL 266.745362 192.020613 \nL 271.859226 187.933798 \nL 277.216437 183.120808 \nL 282.78073 177.530605 \nL 288.499903 171.126705 \nL 294.302891 163.895425 \nL 300.097098 155.855706 \nL 305.766327 147.069878 \nL 311.169879 137.654365 \nL 316.143506 127.788444 \nL 320.502951 117.718711 \nL 324.050787 107.756292 \nL 326.586891 98.264287 \nL 327.922533 89.633687 \nL 327.897139 82.248685 \nL 326.395935 76.444899 \nL 323.36586 72.46758 \nL 318.826818 70.438457 \nL 312.875481 70.33951 \nL 305.680224 72.018354 \nL 297.467433 75.214305 \nL 288.501348 79.598921 \nL 279.060869 84.821186 \nL 269.417247 90.547812 \nL 259.815768 96.492097 \nL 241.522142 108.19752 \nL 225.299274 118.866492 \nL 211.612469 128.173167 \nL 200.453042 136.187485 \nL 195.738971 139.773426 \nL 191.538783 143.115365 \nL 184.4678 149.164343 \nL 178.815038 154.494522 \nL 174.183784 159.211399 \nL 166.65688 167.002645 \nL 163.232831 170.090974 \nL 161.514148 171.423084 \nL 159.763096 172.605968 \nL 157.961457 173.631954 \nL 156.093 174.49193 \nL 154.143312 175.175327 \nL 152.099744 175.670104 \nL 149.951345 175.962749 \nL 147.68891 176.038308 \nL 145.305049 175.88045 \nL 142.794362 175.471611 \nL 140.153664 174.793224 \nL 137.382295 173.826046 \nL 134.482504 172.55068 \nL 131.45991 170.948234 \nL 128.324032 169.001213 \nL 125.088897 166.69468 \nL 121.773635 164.017631 \nL 118.403115 160.96468 \nL 115.008538 157.537976 \nL 111.627898 153.749311 \nL 108.30628 149.622279 \nL 105.09587 145.19433 \nL 102.055584 140.518517 \nL 99.250214 135.664524 \nL 96.748978 130.71876 \nL 94.62345 125.783111 \nL 92.944777 120.972108 \nL 91.780362 116.408405 \nL 91.190053 112.216596 \nL 91.222198 108.515908 \nL 91.909848 105.412207 \nL 93.267553 102.990533 \nL 95.289157 101.308811 \nL 97.946885 100.394001 \nL 101.192025 100.240931 \nL 104.957124 100.814299 \nL 109.159568 102.053303 \nL 113.706129 103.878178 \nL 118.498053 106.197719 \nL 123.436098 108.916628 \nL 128.425129 111.942004 \nL 133.377859 115.188224 \nL 138.217575 118.580185 \nL 142.879785 122.05489 \nL 147.31288 125.561623 \nL 151.477943 129.061197 \nL 155.347933 132.524547 \nL 158.906425 135.931074 \nL 162.146114 139.266933 \nL 165.067231 142.52343 \nL 167.675981 145.695676 \nL 169.983087 148.781427 \nL 172.002489 151.78022 \nL 173.750214 154.692707 \nL 175.243431 157.52018 \nL 176.499687 160.264215 \nL 177.536289 162.926466 \nL 178.369845 165.50849 \nL 179.015912 168.011683 \nL 179.488753 170.437211 \nL 179.801176 172.785955 \nL 179.964436 175.058524 \nL 179.988192 177.255208 \nL 179.880496 179.375956 \nL 179.647819 181.420366 \nL 179.295083 183.387624 \nL 178.825718 185.276489 \nL 178.24171 187.085212 \nL 177.543666 188.811483 \nL 176.730866 190.452333 \nL 175.801321 192.004055 \nL 174.751822 193.462071 \nL 173.577991 194.820806 \nL 172.274331 196.073525 \nL 170.834265 197.212147 \nL 169.250196 198.227039 \nL 167.51356 199.106779 \nL 165.614908 199.837886 \nL 163.543986 200.404531 \nL 161.289868 200.78821 \nL 158.841119 200.967409 \nL 156.186003 200.917246 \nL 153.312777 200.609131 \nL 150.210066 200.010469 \nL 146.867358 199.084419 \nL 143.275625 197.789797 \nL 139.428133 196.08119 \nL 135.32143 193.909379 \nL 130.956587 191.222212 \nL 126.340679 187.966066 \nL 121.488547 184.088123 \nL 116.424802 179.539638 \nL 111.186113 174.280376 \nL 105.823542 168.284391 \nL 100.404944 161.547117 \nL 95.017055 154.09357 \nL 89.766939 145.987165 \nL 84.782424 137.338092 \nL 80.210849 128.309881 \nL 76.215624 119.122107 \nL 72.970134 110.047179 \nL 70.648639 101.399177 \nL 69.414428 93.513822 \nL 69.405906 86.72031 \nL 70.722168 81.307789 \nL 73.409981 77.492003 \nL 77.454587 75.388511 \nL 82.776315 74.998581 \nL 89.234237 76.211704 \nL 96.636728 78.824199 \nL 104.757417 82.569847 \nL 113.353952 87.155389 \nL 122.186651 92.293796 \nL 131.03438 97.729627 \nL 139.706097 103.25418 \nL 155.942586 113.991389 \nL 170.112738 123.797278 \nL 176.324182 128.280823 \nL 181.951511 132.488347 \nL 187.015741 136.435538 \nL 191.549836 140.142503 \nL 195.594683 143.630585 \nL 199.195827 146.920318 \nL 202.400956 150.030305 \nL 205.258014 152.976662 \nL 210.113288 158.4298 \nL 214.109037 163.357871 \nL 220.683704 171.786603 \nL 223.728917 175.297336 \nL 225.273447 176.868404 \nL 226.858622 178.310003 \nL 228.501961 179.615522 \nL 230.219616 180.776928 \nL 232.026523 181.784665 \nL 233.936534 182.627538 \nL 235.962483 183.292591 \nL 238.116211 183.764983 \nL 240.40853 184.027885 \nL 242.849136 184.062397 \nL 245.446421 183.847487 \nL 248.207233 183.36004 \nL 251.136524 182.574999 \nL 254.236911 181.465609 \nL 257.50811 180.003902 \nL 260.946282 178.161411 \nL 264.543226 175.910167 \nL 268.285501 173.2241 \nL 272.153437 170.080894 \nL 276.120083 166.464243 \nL 280.150145 162.366688 \nL 284.199032 157.792819 \nL 288.212078 152.762856 \nL 292.124081 147.316269 \nL 295.859392 141.515103 \nL 299.332697 135.446548 \nL 302.4507 129.224005 \nL 305.114883 122.986134 \nL 307.225434 116.893103 \nL 308.686243 111.119821 \nL 309.41082 105.846001 \nL 309.328693 101.243897 \nL 308.391591 97.464678 \nL 306.578787 94.625533 \nL 303.900736 92.799236 \nL 300.400334 92.008157 \nL 296.15152 92.223727 \nL 291.255185 93.371628 \nL 285.832771 95.341575 \nL 280.018484 97.999954 \nL 273.950936 101.203236 \nL 267.765276 104.810064 \nL 261.586542 108.690713 \nL 255.524727 112.733237 \nL 249.671742 116.846344 \nL 244.100146 120.959579 \nL 238.863392 125.021663 \nL 233.997153 128.997645 \nL 229.52139 132.86574 \nL 225.442785 136.61412 \nL 221.757261 140.238127 \nL 218.452409 143.737967 \nL 215.509702 147.116893 \nL 212.906403 150.379891 \nL 210.617189 153.532731 \nL 208.615436 156.581383 \nL 206.874262 159.531628 \nL 205.367292 162.388852 \nL 204.069228 165.157953 \nL 202.956239 167.843343 \nL 201.198862 172.978248 \nL 199.940609 177.820158 \nL 199.056581 182.390584 \nL 198.449144 186.707477 \nL 197.899668 192.740972 \nL 197.63664 198.284502 \nL 197.557717 204.983003 \nL 197.735899 212.360371 \nL 198.059068 217.555604 \nL 198.565627 222.191921 \nL 199.103323 225.334944 \nL 199.823449 228.212056 \nL 200.43433 229.9891 \nL 201.176763 231.655993 \nL 202.079936 233.212812 \nL 203.179806 234.656779 \nL 204.520617 235.981028 \nL 206.156741 237.172742 \nL 208.154906 238.210353 \nL 210.596805 239.059366 \nL 213.582087 239.666123 \nL 215.315347 239.85446 \nL 217.23161 239.948585 \nL 219.349817 239.931605 \nL 221.690602 239.782859 \nL 224.276326 239.477148 \nL 227.131074 238.983835 \nL 230.280569 238.2658 \nL 233.751999 237.278246 \nL 237.573695 235.967396 \nL 241.774595 234.269082 \nL 246.383481 232.107337 \nL 251.427804 229.393112 \nL 256.932076 226.023343 \nL 262.915638 221.880709 \nL 269.389671 216.834612 \nL 276.353273 210.744013 \nL 283.788472 203.463139 \nL 291.654036 194.85114 \nL 299.878095 184.786961 \nL 308.349881 173.190538 \nL 316.911032 160.050881 \nL 325.347669 145.460178 \nL 333.384939 129.6507 \nL 340.686485 113.027954 \nL 346.862003 96.189364 \nL 351.485879 79.914876 \nL 354.129062 65.115977 \nL 354.403833 52.736303 \nL 352.01693 43.611774 \nL 346.822057 38.317298 \nL 338.858932 37.043508 \nL 328.366393 39.547669 \nL 315.762301 45.202221 \nL 301.592455 53.128426 \nL 286.460554 62.370041 \nL 270.956451 72.051736 \nL 255.59854 81.482612 \nL 240.799132 90.19361 \nL 226.853402 97.922434 \nL 213.946583 104.569488 \nL 202.171848 110.146554 \nL 191.552096 114.731445 \nL 182.060959 118.434188 \nL 173.640594 121.374747 \nL 166.215466 123.670001 \nL 159.70228 125.427256 \nL 154.016708 126.741767 \nL 149.077606 127.696562 \nL 144.809431 128.363353 \nL 138.017655 129.071406 \nL 133.173552 129.264692 \nL 126.990633 129.351795 \nL 126.848747 129.511426 \nL 126.892532 129.744303 \nL 127.447966 130.448159 \nL 132.99757 136.20934 \nL 134.536607 138.152979 \nL 135.922341 140.170156 \nL 137.080279 142.194689 \nL 137.954129 144.163574 \nL 138.50421 146.017815 \nL 138.705453 147.702439 \nL 138.545357 149.166142 \nL 138.022202 150.360862 \nL 137.626563 150.843196 \nL 137.143783 151.241707 \nL 136.576214 151.551325 \nL 135.926766 151.767263 \nL 135.198919 151.885059 \nL 133.524946 151.810408 \nL 131.59465 151.301012 \nL 129.45977 150.341507 \nL 127.184767 148.931689 \nL 124.847777 147.091381 \nL 122.540667 144.865392 \nL 120.367575 142.327455 \nL 118.44132 139.582049 \nL 116.877308 136.762583 \nL 115.784877 134.024757 \nL 115.445427 132.738403 \nL 115.256714 131.53476 \nL 115.225884 130.433618 \nL 115.357697 129.453286 \nL 115.654288 128.610078 \nL 116.114989 127.917818 \nL 116.73625 127.387449 \nL 117.511638 127.026747 \nL 118.431938 126.840175 \nL 119.485358 126.828871 \nL 120.65781 126.990745 \nL 121.933267 127.320719 \nL 123.294166 127.811069 \nL 126.197127 129.231113 \nL 129.21278 131.151904 \nL 132.190889 133.459567 \nL 134.99597 136.037463 \nL 137.514556 138.774716 \nL 139.658412 141.570845 \nL 141.364344 144.337181 \nL 142.591583 146.995989 \nL 143.31792 149.478363 \nL 143.490356 150.633655 \nL 143.535551 151.721738 \nL 143.454173 152.735374 \nL 143.247373 153.667449 \nL 142.916724 154.510922 \nL 142.464188 155.258779 \nL 141.892092 155.904024 \nL 141.203123 156.439659 \nL 140.400365 156.858715 \nL 139.487318 157.154272 \nL 138.467982 157.319503 \nL 137.346915 157.347772 \nL 136.129335 157.232734 \nL 134.821235 156.968478 \nL 133.429498 156.549714 \nL 131.962025 155.971944 \nL 130.427862 155.23176 \nL 128.837361 154.327098 \nL 127.202261 153.257565 \nL 125.53583 152.02477 \nL 123.852938 150.632713 \nL 122.170084 149.088116 \nL 120.505416 147.400786 \nL 118.878657 145.583926 \nL 117.310957 143.654366 \nL 115.824686 141.632668 \nL 114.443099 139.543161 \nL 113.189926 137.413746 \nL 112.088851 135.275527 \nL 111.162886 133.162229 \nL 110.433709 131.10941 \nL 109.920913 129.153473 \nL 109.641238 127.330508 \nL 109.607853 125.675035 \nL 109.829662 124.21874 \nL 110.31077 122.989225 \nL 111.050096 122.008987 \nL 112.041172 121.294546 \nL 113.27216 120.855956 \nL 114.726119 120.696617 \nL 116.381503 120.813445 \nL 118.212813 121.197364 \nL 120.191429 121.834096 \nL 122.286546 122.705093 \nL 124.466147 123.78862 \nL 126.697957 125.060825 \nL 128.950318 126.496798 \nL 131.193001 128.071428 \nL 135.539102 131.539744 \nL 139.543071 135.28571 \nL 143.059389 139.156767 \nL 144.602326 141.09961 \nL 145.990014 143.029615 \nL 147.216615 144.935324 \nL 148.278311 146.806504 \nL 149.173 148.633923 \nL 149.899976 150.409153 \nL 150.459645 152.124377 \nL 150.853269 153.772202 \nL 151.082711 155.345514 \nL 151.150252 156.83734 \nL 151.058408 158.240701 \nL 150.809811 159.548516 \nL 150.407109 160.753486 \nL 149.852902 161.848026 \nL 149.149716 162.824179 \nL 148.300002 163.673569 \nL 147.306177 164.387351 \nL 146.170687 164.956189 \nL 144.896097 165.37026 \nL 143.485227 165.619281 \nL 141.941302 165.69257 \nL 140.268135 165.579159 \nL 138.470347 165.267939 \nL 136.553614 164.747898 \nL 134.524932 164.008408 \nL 132.392922 163.039603 \nL 130.16813 161.832851 \nL 127.863361 160.381335 \nL 125.494006 158.680704 \nL 123.078333 156.729863 \nL 120.637769 154.531818 \nL 118.197097 152.094566 \nL 115.784572 149.432016 \nL 113.431898 146.564832 \nL 111.174047 143.521138 \nL 109.048884 140.337014 \nL 107.096536 137.056615 \nL 105.358515 133.73183 \nL 103.876584 130.421431 \nL 102.691351 127.189589 \nL 101.840672 124.10377 \nL 101.357914 121.232082 \nL 101.270199 118.640243 \nL 101.596715 116.388314 \nL 102.347302 114.52759 \nL 103.521412 113.097852 \nL 105.107564 112.125322 \nL 107.083382 111.621612 \nL 109.416289 111.583623 \nL 112.064726 111.994569 \nL 114.979921 112.825795 \nL 118.107953 114.039364 \nL 121.39202 115.59088 \nL 124.774698 117.432438 \nL 128.20002 119.515257 \nL 131.615299 121.791953 \nL 134.972518 124.21826 \nL 138.229348 126.754159 \nL 141.349712 129.364487 \nL 144.303997 132.019115 \nL 147.068935 134.69279 \nL 149.62722 137.364692 \nL 151.966958 140.017942 \nL 154.081002 142.638983 \nL 155.966224 145.216982 \nL 157.622787 147.74328 \nL 159.053439 150.2109 \nL 160.262853 152.614084 \nL 161.257043 154.94797 \nL 162.042846 157.208267 \nL 162.62748 159.391009 \nL 163.018188 161.492369 \nL 163.221936 163.508458 \nL 163.24519 165.435209 \nL 163.093731 167.268228 \nL 162.772548 169.002694 \nL 162.285753 170.63323 \nL 161.636537 172.153805 \nL 160.827171 173.557629 \nL 159.85903 174.837028 \nL 158.73264 175.983345 \nL 157.447759 176.986808 \nL 156.00349 177.836429 \nL 154.398407 178.519878 \nL 152.630727 179.023399 \nL 150.698503 179.331724 \nL 148.599874 179.428016 \nL 146.333349 179.293872 \nL 143.898148 178.90938 \nL 141.294598 178.253267 \nL 138.524613 177.303183 \nL 135.592217 176.036115 \nL 132.504176 174.42902 \nL 129.270692 172.45968 \nL 125.906139 170.107862 \nL 122.4299 167.356787 \nL 118.867199 164.194929 \nL 115.249917 160.618194 \nL 111.6173 156.632347 \nL 108.016569 152.255661 \nL 104.503167 147.521596 \nL 101.140682 142.481202 \nL 98.000182 137.20495 \nL 95.158911 131.783523 \nL 92.698191 126.327156 \nL 90.700506 120.963073 \nL 89.245741 115.830772 \nL 88.406823 111.075117 \nL 88.244902 106.837697 \nL 88.804632 103.247021 \nL 90.109938 100.408834 \nL 92.160867 98.397746 \nL 94.932023 97.251558 \nL 98.372864 96.969053 \nL 102.409966 97.511831 \nL 106.951121 98.809771 \nL 111.890748 100.76903 \nL 117.116033 103.281533 \nL 122.513145 106.234355 \nL 127.972882 109.51788 \nL 133.395292 113.031979 \nL 138.692988 116.689968 \nL 143.793128 120.420338 \nL 148.63814 124.166826 \nL 153.185404 127.887194 \nL 157.406179 131.551305 \nL 161.284018 135.138942 \nL 164.81292 138.637566 \nL 167.995407 142.040385 \nL 170.840662 145.344643 \nL 173.362814 148.550322 \nL 175.57944 151.659102 \nL 177.510276 154.673644 \nL 179.176167 157.597075 \nL 180.598217 160.43265 \nL 181.797129 163.183536 \nL 182.792722 165.852697 \nL 183.603575 168.442823 \nL 184.246786 170.956336 \nL 184.737833 173.39536 \nL 185.090494 175.761746 \nL 185.427218 180.282699 \nL 185.333414 184.528906 \nL 184.860293 188.506155 \nL 184.036211 192.215981 \nL 182.869035 195.654872 \nL 182.154144 197.269893 \nL 181.348129 198.812812 \nL 180.446998 200.281002 \nL 179.445743 201.671115 \nL 178.338357 202.97895 \nL 177.117836 204.199306 \nL 175.776178 205.325811 \nL 174.304395 206.350722 \nL 172.692505 207.264684 \nL 170.929543 208.056461 \nL 169.003582 208.712624 \nL 166.901771 209.217199 \nL 164.610403 209.55125 \nL 162.115017 209.692451 \nL 159.400564 209.614597 \nL 156.451631 209.28711 \nL 153.252774 208.674524 \nL 149.788965 207.736009 \nL 146.046189 206.425005 \nL 142.012253 204.688993 \nL 137.677814 202.46958 \nL 133.037706 199.703017 \nL 128.092606 196.321359 \nL 122.851035 192.254531 \nL 117.331843 187.43359 \nL 111.566999 181.795549 \nL 105.60479 175.28998 \nL 99.513148 167.88773 \nL 93.382989 159.591618 \nL 87.331012 150.448761 \nL 81.501482 140.563452 \nL 76.066196 130.108799 \nL 71.22172 119.334388 \nL 67.183059 108.566623 \nL 64.173079 98.198122 \nL 62.407474 88.663794 \nL 62.076137 80.402999 \nL 63.322581 73.811663 \nL 66.224448 69.191489 \nL 70.778734 66.707179 \nL 76.895078 66.362294 \nL 84.399547 68.000974 \nL 93.048907 71.335796 \nL 102.553297 75.994833 \nL 112.603099 81.57601 \nL 122.89533 87.696368 \nL 143.152389 100.314152 \nL 170.012968 117.441036 \nL 184.575509 126.90103 \nL 196.417337 134.879645 \nL 205.857731 141.637729 \nL 213.338694 147.424036 \nL 219.320008 152.424797 \nL 232.203782 163.648246 \nL 234.020711 165.006578 \nL 235.822243 166.214358 \nL 237.630747 167.266335 \nL 239.465839 168.155882 \nL 241.344568 168.875084 \nL 243.281581 169.414796 \nL 245.289229 169.764725 \nL 247.377633 169.913522 \nL 249.554671 169.848925 \nL 251.825949 169.557933 \nL 254.194669 169.027059 \nL 256.66146 168.242668 \nL 259.224147 167.191419 \nL 261.877477 165.860816 \nL 264.612778 164.239941 \nL 267.417601 162.320315 \nL 270.275355 160.096912 \nL 273.164958 157.569337 \nL 276.060506 154.74314 \nL 278.931079 151.631175 \nL 281.740653 148.254929 \nL 284.448226 144.645806 \nL 287.008233 140.846034 \nL 289.371248 136.909205 \nL 291.485083 132.900124 \nL 293.29626 128.893859 \nL 294.751937 124.973868 \nL 295.802134 121.229084 \nL 296.402235 117.750098 \nL 296.515573 114.624602 \nL 296.115938 111.932515 \nL 295.189731 109.741123 \nL 293.737551 108.100988 \nL 291.774999 107.042939 \nL 289.332587 106.576619 \nL 286.454693 106.690758 \nL 283.19757 107.355143 \nL 279.626704 108.523923 \nL 275.813653 110.139806 \nL 271.832699 112.13863 \nL 267.757643 114.453804 \nL 263.658896 117.020088 \nL 259.601155 119.776532 \nL 255.641687 122.668508 \nL 251.829267 125.648769 \nL 248.20374 128.677776 \nL 244.796079 131.723388 \nL 241.628888 134.760196 \nL 238.717172 137.768624 \nL 236.069282 140.733924 \nL 233.687982 143.645254 \nL 231.571482 146.494762 \nL 229.714456 149.276864 \nL 228.108966 151.987612 \nL 226.745292 154.624179 \nL 225.612641 157.184459 \nL 224.699748 159.666783 \nL 223.995365 162.069668 \nL 223.488647 164.391641 \nL 223.169465 166.631127 \nL 223.028626 168.786294 \nL 223.058036 170.854982 \nL 223.250809 172.834632 \nL 223.60133 174.722169 \nL 224.105285 176.513937 \nL 224.759658 178.205601 \nL 225.562711 179.792032 \nL 226.513943 181.267227 \nL 227.614033 182.624138 \nL 228.864761 183.854569 \nL 230.268925 184.948998 \nL 231.830234 185.896427 \nL 233.55319 186.684209 \nL 235.442924 187.297845 \nL 237.505028 187.720823 \nL 239.745324 187.93444 \nL 242.169607 187.917655 \nL 244.78331 187.646976 \nL 247.591109 187.096431 \nL 250.596436 186.237655 \nL 253.800897 185.040092 \nL 257.203563 183.47143 \nL 260.800153 181.498315 \nL 264.582085 179.087422 \nL 268.535365 176.206947 \nL 272.639388 172.828629 \nL 276.865659 168.93039 \nL 281.176438 164.499589 \nL 285.523505 159.536852 \nL 289.847072 154.060411 \nL 294.075076 148.110628 \nL 298.123081 141.754283 \nL 301.894977 135.088004 \nL 305.284779 128.239974 \nL 308.179772 121.369146 \nL 310.465054 114.660947 \nL 312.029538 108.319076 \nL 312.773107 102.553279 \nL 312.614395 97.563899 \nL 311.498418 93.52487 \nL 309.403043 90.567508 \nL 306.343323 88.767897 \nL 302.372823 88.140097 \nL 297.581485 88.636664 \nL 292.090142 90.156494 \nL 286.042323 92.558283 \nL 279.594399 95.677159 \nL 272.905393 99.34145 \nL 266.127683 103.387194 \nL 259.39943 107.668598 \nL 252.839377 112.064176 \nL 246.543968 116.478748 \nL 240.586625 120.84234 \nL 235.018713 125.107104 \nL 229.871643 129.243257 \nL 225.159686 133.234868 \nL 220.883014 137.075995 \nL 217.03074 140.767451 \nL 213.583699 144.314247 \nL 210.516908 147.723686 \nL 207.801636 151.004077 \nL 205.407087 154.163845 \nL 203.301718 157.211041 \nL 201.454254 160.153031 \nL 199.834413 162.99639 \nL 198.413418 165.746899 \nL 196.062149 170.988793 \nL 194.20915 175.911237 \nL 192.024181 182.747415 \nL 188.399643 194.633866 \nL 187.107363 198.097561 \nL 185.662183 201.314798 \nL 184.002551 204.279181 \nL 182.064759 206.976569 \nL 180.970233 208.217924 \nL 179.779633 209.382233 \nL 178.482968 210.464098 \nL 177.069555 211.456869 \nL 175.527949 212.352419 \nL 173.845876 213.14089 \nL 172.010189 213.810371 \nL 170.006838 214.346555 \nL 167.820868 214.732323 \nL 165.436446 214.94728 \nL 162.836937 214.967234 \nL 160.005048 214.763615 \nL 156.923045 214.302879 \nL 153.573083 213.545876 \nL 149.937683 212.447238 \nL 146.000373 210.954885 \nL 141.746568 209.009679 \nL 137.164725 206.545408 \nL 132.24785 203.489293 \nL 126.995392 199.763221 \nL 121.415597 195.286094 \nL 115.528376 189.977617 \nL 109.368657 183.763972 \nL 102.99017 176.585847 \nL 96.469516 168.408987 \nL 89.910156 159.237373 \nL 83.445855 149.128444 \nL 77.242806 138.209029 \nL 71.499479 126.689485 \nL 66.443033 114.872492 \nL 62.321135 103.151979 \nL 59.388431 91.997469 \nL 57.887561 81.920894 \nL 58.025813 73.426323 \nL 59.950092 66.948097 \nL 63.72423 62.788865 \nL 69.313378 61.071998 \nL 76.579638 61.721961 \nL 85.291229 64.479339 \nL 95.144214 68.947538 \nL 105.79294 74.658253 \nL 116.88323 81.138961 \nL 139.101871 94.804586 \nL 169.068132 113.357748 \nL 204.413558 135.041237 \nL 213.864068 141.122766 \nL 221.337559 146.181453 \nL 238.470045 158.083768 \nL 240.360327 159.151829 \nL 242.207933 160.063984 \nL 244.035365 160.816688 \nL 245.861789 161.405257 \nL 247.703245 161.824039 \nL 249.572823 162.066636 \nL 251.480805 162.126086 \nL 253.43475 161.995068 \nL 255.439543 161.666189 \nL 257.497413 161.132249 \nL 259.607884 160.38661 \nL 261.767721 159.423586 \nL 263.970822 158.238946 \nL 266.208137 156.830437 \nL 268.467539 155.198404 \nL 270.733729 153.346458 \nL 272.988219 151.282163 \nL 275.209294 149.017704 \nL 277.372138 146.570561 \nL 279.449023 143.96401 \nL 281.409681 141.227528 \nL 283.221808 138.396869 \nL 284.851761 135.513894 \nL 286.265462 132.62596 \nL 287.42946 129.784913 \nL 288.312156 127.045614 \nL 288.885145 124.464086 \nL 289.12457 122.095285 \nL 289.012464 119.990757 \nL 288.537903 118.196215 \nL 287.697951 116.749367 \nL 286.498227 115.678146 \nL 284.953086 114.999477 \nL 283.085343 114.718856 \nL 280.925563 114.830563 \nL 278.510932 115.318618 \nL 275.883798 116.15834 \nL 273.090038 117.318247 \nL 270.17733 118.762244 \nL 267.19342 120.451656 \nL 264.18461 122.347175 \nL 261.194412 124.410494 \nL 258.262503 126.605525 \nL 255.424018 128.899229 \nL 252.709116 131.262121 \nL 250.142836 133.668423 \nL 247.745186 136.095989 \nL 245.531422 138.526047 \nL 243.512464 140.94284 \nL 241.695399 143.333221 \nL 240.084032 145.686222 \nL 238.679457 147.992626 \nL 237.480604 150.244607 \nL 236.484753 152.435391 \nL 235.688005 154.558931 \nL 235.085695 156.609687 \nL 234.672752 158.582391 \nL 234.44399 160.471864 \nL 234.394362 162.272854 \nL 234.519134 163.979899 \nL 234.814041 165.587192 \nL 235.275374 167.088472 \nL 235.900036 168.476916 \nL 236.685566 169.745019 \nL 237.630124 170.884511 \nL 238.732439 171.886269 \nL 239.991735 172.740199 \nL 241.407631 173.435191 \nL 242.979979 173.959043 \nL 244.708713 174.29842 \nL 246.593616 174.438859 \nL 248.634086 174.36479 \nL 250.828824 174.059643 \nL 253.175504 173.506031 \nL 255.670369 172.686015 \nL 258.307782 171.581533 \nL 261.079737 170.174934 \nL 263.975293 168.449734 \nL 266.979997 166.39157 \nL 270.075268 163.989379 \nL 273.237771 161.236788 \nL 276.438875 158.133764 \nL 279.64413 154.688391 \nL 282.812952 150.918772 \nL 285.898498 146.854873 \nL 288.84786 142.540113 \nL 291.602678 138.032511 \nL 294.100212 133.405092 \nL 296.274969 128.745233 \nL 298.060935 124.152738 \nL 299.394311 119.736496 \nL 300.216715 115.609687 \nL 300.478637 111.883787 \nL 300.142898 108.661819 \nL 299.187724 106.031563 \nL 297.609144 104.059458 \nL 295.422397 102.786079 \nL 292.662036 102.223827 \nL 289.380706 102.357149 \nL 285.646627 103.14523 \nL 281.540019 104.52672 \nL 277.148847 106.425826 \nL 272.564339 108.758813 \nL 267.876599 111.440144 \nL 263.170839 114.387674 \nL 258.524348 117.526452 \nL 254.004382 120.791136 \nL 249.666978 124.126995 \nL 245.556595 127.489907 \nL 241.706434 130.8456 \nL 238.139263 134.16839 \nL 234.868596 137.439771 \nL 231.900025 140.646966 \nL 229.232645 143.781591 \nL 226.860418 146.838516 \nL 224.773444 149.814932 \nL 222.959108 152.709589 \nL 221.40306 155.522229 \nL 220.090039 158.253187 \nL 219.004553 160.903072 \nL 218.13141 163.472575 \nL 217.456139 165.962306 \nL 216.965282 168.372719 \nL 216.646629 170.704027 \nL 216.489354 172.956154 \nL 216.48411 175.128688 \nL 216.623067 177.220841 \nL 216.899927 179.231407 \nL 217.309901 181.158697 \nL 217.849687 183.000503 \nL 218.517418 184.75399 \nL 219.312614 186.415637 \nL 220.236124 187.981122 \nL 221.290075 189.445205 \nL 222.477797 190.801585 \nL 223.803776 192.042747 \nL 225.27357 193.159784 \nL 226.893745 194.14218 \nL 228.671779 194.977598 \nL 230.615954 195.651626 \nL 232.735229 196.147504 \nL 235.03907 196.445848 \nL 237.537235 196.52437 \nL 240.239504 196.357597 \nL 243.155334 195.916648 \nL 246.293398 195.169052 \nL 249.661041 194.078713 \nL 253.263569 192.606035 \nL 257.10339 190.708312 \nL 261.178955 188.340479 \nL 265.483492 185.456373 \nL 270.003549 182.010622 \nL 274.717276 177.961316 \nL 279.59259 173.273608 \nL 284.585178 167.924383 \nL 289.636561 161.907922 \nL 294.672327 155.242516 \nL 299.600891 147.977528 \nL 304.313014 140.200292 \nL 308.682632 132.041767 \nL 312.56934 123.679456 \nL 315.822973 115.336071 \nL 318.29052 107.272331 \nL 319.825345 99.772915 \nL 320.298226 93.125759 \nL 319.609238 87.596308 \nL 317.699071 83.4002 \nL 314.557947 80.67903 \nL 310.230518 79.484096 \nL 304.815448 79.771996 \nL 298.459322 81.413125 \nL 291.345546 84.211438 \nL 283.679917 87.93107 \nL 275.674991 92.324301 \nL 267.5355 97.155917 \nL 259.44653 102.220692 \nL 251.565433 107.352797 \nL 244.017642 112.428175 \nL 236.89591 117.361563 \nL 230.262185 122.100424 \nL 224.151155 126.617711 \nL 218.57469 130.904793 \nL 213.526464 134.965284 \nL 208.986369 138.810187 \nL 204.924426 142.454277 \nL 201.304099 145.913601 \nL 198.084986 149.2039 \nL 195.224914 152.339664 \nL 192.681528 155.333661 \nL 188.380981 160.938021 \nL 184.875957 166.082509 \nL 175.359724 180.876732 \nL 172.666098 184.186402 \nL 171.233916 185.673638 \nL 169.725105 187.041254 \nL 168.12572 188.281679 \nL 166.422317 189.385849 \nL 164.601854 190.343007 \nL 162.651615 191.140526 \nL 160.55919 191.763676 \nL 158.312489 192.195415 \nL 155.899831 192.416157 \nL 153.310081 192.40356 \nL 150.532884 192.132342 \nL 147.558968 191.574175 \nL 144.380582 190.69765 \nL 140.992039 189.468409 \nL 137.390404 187.849495 \nL 133.576361 185.801993 \nL 129.555232 183.286048 \nL 125.338183 180.26242 \nL 120.94362 176.694643 \nL 116.398709 172.551948 \nL 111.740992 167.81295 \nL 107.020019 162.470217 \nL 102.298818 156.535541 \nL 97.655007 150.045677 \nL 93.181305 143.068067 \nL 88.985096 135.70575 \nL 85.186704 128.100434 \nL 81.916056 120.432567 \nL 79.307504 112.917103 \nL 77.492769 105.794053 \nL 76.592214 99.313686 \nL 76.705163 93.717077 \nL 77.900173 89.214143 \nL 80.206607 85.962441 \nL 83.60893 84.050455 \nL 88.044808 83.48875 \nL 93.407721 84.211113 \nL 99.554013 86.085367 \nL 106.313393 88.931775 \nL 113.501495 92.545129 \nL 120.932657 96.71659 \nL 128.43134 101.251605 \nL 135.841039 105.982218 \nL 143.030095 110.773258 \nL 149.894449 115.523311 \nL 156.357765 120.161932 \nL 162.36961 124.644715 \nL 167.902359 128.947623 \nL 172.94748 133.061484 \nL 177.511699 136.987205 \nL 181.613348 140.731946 \nL 185.279104 144.306274 \nL 188.541229 147.72217 \nL 191.435294 150.991693 \nL 193.998404 154.126216 \nL 196.267825 157.135988 \nL 198.279996 160.029951 \nL 201.670283 165.499763 \nL 204.423569 170.582549 \nL 207.825964 177.544924 \nL 210.868418 183.755836 \nL 212.925279 187.481891 \nL 215.137216 190.863832 \nL 216.333081 192.418829 \nL 217.605004 193.877736 \nL 218.964854 195.235182 \nL 220.424484 196.484574 \nL 221.99584 197.617921 \nL 223.691056 198.625627 \nL 225.522516 199.496251 \nL 227.502889 200.216237 \nL 229.645125 200.769617 \nL 231.962423 201.137684 \nL 234.468118 201.298655 \nL 237.175535 201.227314 \nL 240.097728 200.894654 \nL 243.247147 200.267591 \nL 246.635177 199.30872 \nL 250.271509 197.976224 \nL 254.163353 196.224009 \nL 258.314442 194.002147 \nL 262.72377 191.257791 \nL 267.384109 187.936701 \nL 272.280202 183.985614 \nL 277.386721 179.355617 \nL 282.665964 174.006744 \nL 288.06547 167.913927 \nL 293.515598 161.074289 \nL 298.927467 153.515569 \nL 304.191504 145.305044 \nL 309.177136 136.558001 \nL 313.734197 127.444193 \nL 317.696577 118.190186 \nL 320.888687 109.075556 \nL 323.134889 100.420806 \nL 324.27176 92.566282 \nL 324.162262 85.842838 \nL 322.710439 80.537641 \nL 319.874338 76.860418 \nL 315.674897 74.917224 \nL 310.198783 74.697612 \nL 303.593957 76.07881 \nL 296.058346 78.846191 \nL 287.82324 82.725298 \nL 279.134101 87.418077 \nL 270.23182 92.636146 \nL 261.33699 98.125535 \nL 252.638747 103.680832 \nL 236.399129 114.428232 \nL 222.270256 124.202803 \nL 216.088366 128.662926 \nL 210.493162 132.844553 \nL 205.461657 136.764639 \nL 200.959345 140.444088 \nL 196.944183 143.90468 \nL 193.369789 147.167155 \nL 190.187908 150.250148 \nL 184.809737 155.939144 \nL 180.443299 161.068192 \nL 170.398313 173.531243 \nL 167.291349 176.722869 \nL 165.682095 178.123191 \nL 164.012001 179.38434 \nL 162.265096 180.497883 \nL 160.42664 181.453851 \nL 158.48302 182.240605 \nL 156.421675 182.844743 \nL 154.2311 183.250979 \nL 151.900888 183.44203 \nL 149.421845 183.398595 \nL 146.786192 183.099287 \nL 143.987836 182.520764 \nL 141.022736 181.63788 \nL 137.889378 180.42402 \nL 134.58936 178.85165 \nL 131.128071 176.893136 \nL 127.515518 174.52186 \nL 123.767199 171.713733 \nL 119.905109 168.449143 \nL 115.958756 164.715373 \nL 111.966139 160.509468 \nL 107.974639 155.841507 \nL 104.041659 150.738083 \nL 100.234874 145.24573 \nL 96.631908 139.433937 \nL 93.319269 133.397102 \nL 90.390328 127.254966 \nL 87.942259 121.150716 \nL 86.071817 115.246373 \nL 84.870185 109.715141 \nL 84.417003 104.730985 \nL 84.774213 100.456192 \nL 85.980247 97.028349 \nL 88.045393 94.548424 \nL 90.94897 93.072047 \nL 94.638937 92.605367 \nL 99.034123 93.106336 \nL 104.028955 94.491166 \nL 109.50015 96.64479 \nL 115.314504 99.433478 \nL 121.336921 102.717431 \nL 127.437717 106.36182 \nL 133.498601 110.244953 \nL 139.416907 114.263275 \nL 145.108029 118.333391 \nL 150.506224 122.39169 \nL 155.564047 126.392379 \nL 160.250837 130.304671 \nL 164.550617 134.109685 \nL 168.459686 137.797484 \nL 171.984185 141.36449 \nL 175.137801 144.811388 \nL 177.939685 148.141526 \nL 180.412669 151.359717 \nL 182.581778 154.471417 \nL 184.473027 157.482216 \nL 186.112485 160.397503 \nL 187.525563 163.222279 \nL 188.736515 165.961099 \nL 189.768084 168.618057 \nL 191.375301 173.700637 \nL 192.493161 178.49494 \nL 193.238431 183.021236 \nL 193.701142 187.29656 \nL 193.948277 191.335701 \nL 194.015215 196.980049 \nL 193.800957 202.16176 \nL 193.348545 206.915034 \nL 192.659183 211.268785 \nL 192.053185 213.960821 \nL 191.310726 216.490233 \nL 190.408163 218.859582 \nL 189.314934 221.068516 \nL 187.992591 223.112682 \nL 186.393468 224.982081 \nL 184.458992 226.658668 \nL 183.344215 227.415978 \nL 182.117641 228.112811 \nL 180.767922 228.742808 \nL 179.28259 229.298113 \nL 177.647984 229.769077 \nL 175.84917 230.143887 \nL 173.869875 230.408143 \nL 171.692433 230.544338 \nL 169.297764 230.531265 \nL 166.665382 230.34331 \nL 163.773466 229.949657 \nL 160.599007 229.313378 \nL 157.118061 228.390443 \nL 153.30617 227.128656 \nL 149.138958 225.466588 \nL 144.593009 223.332602 \nL 139.647091 220.644099 \nL 134.283816 217.307239 \nL 128.491852 213.21746 \nL 122.268816 208.261248 \nL 115.624918 202.319776 \nL 108.587521 195.27515 \nL 101.206532 187.020153 \nL 93.560602 177.472276 \nL 85.763806 166.592633 \nL 77.972128 154.409637 \nL 70.388748 141.046077 \nL 63.266623 126.746229 \nL 56.906354 111.897215 \nL 51.647023 97.036125 \nL 47.848068 82.83334 \nL 45.861248 70.043799 \nL 45.993813 59.424241 \nL 48.467055 51.625175 \nL 53.377502 47.079422 \nL 60.669985 45.917493 \nL 70.131 47.938618 \nL 81.406566 52.650528 \nL 94.042249 59.367582 \nL 107.53664 67.336555 \nL 135.180243 84.342739 \nL 148.529896 92.393565 \nL 161.179367 99.754006 \nL 172.953319 106.304254 \nL 183.755068 112.02014 \nL 193.550636 116.93856 \nL 202.352377 121.129949 \nL 210.204327 124.678645 \nL 217.17026 127.670562 \nL 228.745744 132.297047 \nL 237.697455 135.54266 \nL 244.600234 137.793031 \nL 249.937974 139.314017 \nL 254.095656 140.28707 \nL 257.368136 140.838103 \nL 259.974518 141.057981 \nL 262.073078 141.016232 \nL 263.774734 140.769926 \nL 265.15455 140.369223 \nL 266.261274 139.860632 \nL 267.125168 139.288642 \nL 268.003507 138.405074 \nL 268.411695 137.610038 \nL 268.43753 137.187702 \nL 268.279943 136.884653 \nL 267.95535 136.721502 \nL 267.485138 136.710969 \nL 266.565552 136.988687 \nL 265.483879 137.59876 \nL 264.357045 138.486653 \nL 263.302013 139.571344 \nL 262.4247 140.755556 \nL 261.81124 141.935435 \nL 261.522335 143.008539 \nL 261.527277 143.617353 \nL 261.693949 144.111223 \nL 262.01909 144.468242 \nL 262.493811 144.670324 \nL 263.103758 144.703963 \nL 263.829255 144.560955 \nL 265.078786 144.012576 \nL 266.428995 143.086702 \nL 267.758662 141.845797 \nL 268.936155 140.392825 \nL 269.831517 138.866187 \nL 270.21485 137.886685 \nL 270.3965 136.995358 \nL 270.359884 136.238971 \nL 270.099065 135.658418 \nL 269.619759 135.285787 \nL 268.939462 135.142119 \nL 268.086653 135.23615 \nL 267.099151 135.564147 \nL 266.021682 136.110736 \nL 264.344112 137.28289 \nL 262.741599 138.772113 \nL 261.368094 140.440106 \nL 260.34983 142.141242 \nL 259.91458 143.223167 \nL 259.695451 144.21667 \nL 259.702069 145.084713 \nL 259.936609 145.793476 \nL 260.394053 146.312934 \nL 261.062364 146.617483 \nL 261.922585 146.686824 \nL 262.948916 146.50706 \nL 264.108694 146.072015 \nL 265.362506 145.384722 \nL 266.66455 144.458925 \nL 267.963326 143.320367 \nL 269.202935 142.007577 \nL 270.325048 140.571827 \nL 271.271608 139.075899 \nL 271.988256 137.591463 \nL 272.428208 136.19503 \nL 272.556288 134.962638 \nL 272.352544 133.963979 \nL 271.814961 133.25662 \nL 271.425599 133.025636 \nL 270.425369 132.825275 \nL 269.168653 132.980136 \nL 267.71464 133.48018 \nL 266.132845 134.297268 \nL 264.498095 135.388827 \nL 262.885485 136.702148 \nL 261.36595 138.178602 \nL 260.002797 139.757266 \nL 258.849474 141.377653 \nL 257.948405 142.981503 \nL 257.330806 144.513785 \nL 257.017111 145.923107 \nL 257.017777 147.161768 \nL 257.334113 148.18581 \nL 257.95897 148.955111 \nL 258.877156 149.433848 \nL 260.065453 149.591364 \nL 261.492319 149.403618 \nL 263.117345 148.855222 \nL 264.890613 147.942074 \nL 266.752243 146.674355 \nL 268.63247 145.079694 \nL 270.452519 143.205817 \nL 272.126774 141.122133 \nL 273.56647 138.919265 \nL 274.684949 136.705942 \nL 275.404341 134.602698 \nL 275.663016 132.732674 \nL 275.606572 131.921573 \nL 275.422816 131.210429 \nL 275.111589 130.610342 \nL 274.674784 130.130551 \nL 274.116361 129.77819 \nL 273.442291 129.55815 \nL 272.660471 129.473025 \nL 271.780558 129.523098 \nL 270.813751 129.706451 \nL 268.670462 130.455224 \nL 266.340908 131.666943 \nL 263.941931 133.268259 \nL 261.587812 135.173728 \nL 259.382757 137.293689 \nL 257.415807 139.540138 \nL 255.758236 141.830373 \nL 254.463164 144.088572 \nL 253.56676 146.245871 \nL 253.090378 148.239591 \nL 253.042977 150.011978 \nL 253.180108 150.798176 \nL 253.423326 151.509028 \nL 253.771154 152.138233 \nL 254.221641 152.679624 \nL 254.772361 153.127214 \nL 255.420418 153.475182 \nL 256.162417 153.717933 \nL 256.994432 153.850142 \nL 257.911957 153.866816 \nL 258.909849 153.763416 \nL 261.122617 153.18103 \nL 263.576312 152.08011 \nL 266.199873 150.454242 \nL 268.905598 148.31992 \nL 271.588294 145.723449 \nL 274.126207 142.747067 \nL 276.384788 139.512519 \nL 278.223882 136.179872 \nL 278.943381 134.535515 \nL 279.508539 132.939783 \nL 279.905573 131.41878 \nL 280.122843 129.998265 \nL 280.151285 128.702851 \nL 279.984864 127.555232 \nL 279.62088 126.575448 \nL 279.060192 125.780225 \nL 278.307378 125.182441 \nL 277.370671 124.790789 \nL 276.261855 124.609586 \nL 274.995948 124.638815 \nL 273.590815 124.874338 \nL 272.066672 125.308287 \nL 270.445501 125.929553 \nL 268.750467 126.7244 \nL 265.233567 128.7706 \nL 261.701894 131.308323 \nL 258.325124 134.194707 \nL 255.245843 137.295196 \nL 252.574422 140.490419 \nL 250.388925 143.678028 \nL 248.738585 146.771315 \nL 248.12292 148.258988 \nL 247.649226 149.69598 \nL 247.318045 151.074335 \nL 247.129179 152.386388 \nL 247.081832 153.62469 \nL 247.174729 154.781917 \nL 247.40622 155.850773 \nL 247.774355 156.823929 \nL 248.27693 157.693975 \nL 248.911503 158.453376 \nL 249.675406 159.094442 \nL 250.565709 159.609345 \nL 251.579157 159.990103 \nL 252.712111 160.228641 \nL 253.960441 160.316875 \nL 255.319401 160.246788 \nL 256.783488 160.010596 \nL 258.34628 159.600918 \nL 260.000261 159.011021 \nL 261.736648 158.235092 \nL 263.545163 157.268599 \nL 265.413887 156.108683 \nL 267.329034 154.754581 \nL 269.274828 153.208134 \nL 271.233358 151.474319 \nL 273.184505 149.561724 \nL 275.105962 147.483084 \nL 276.973302 145.255716 \nL 278.76018 142.901825 \nL 280.438647 140.44867 \nL 281.979622 137.928546 \nL 283.353499 135.378431 \nL 284.530886 132.839414 \nL 285.483498 130.355721 \nL 286.185152 127.973483 \nL 286.612796 125.739187 \nL 286.747566 123.697937 \nL 286.575785 121.891628 \nL 286.089811 120.357137 \nL 285.28868 119.12471 \nL 284.178489 118.216666 \nL 284.178489 118.216666 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p23cf597c28\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAh8AAAGdCAYAAACyzRGfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOyddXQb99KGH4ElMzMzh5mZ0yRNmZmZUkghbVP8ynQLt8wQaNJAw8wcMzMzyrLg+0PSWrJsx07SJL3Z5xwf2ytpvbZXu/ObeecdiV6v1yMiIiIiIiIico6Qnu8DEBEREREREbm4EIMPERERERERkXOKGHyIiIiIiIiInFPE4ENERERERETknCIGHyIiIiIiIiLnFDH4EBERERERETmniMGHiIiIiIiIyDlFDD5EREREREREziny830AndHpdJSUlODk5IREIjnfhyMiIiIiIiLSC/R6PY2Njfj7+yOV9pzbuOCCj5KSEoKCgs73YYiIiIiIiIicBoWFhQQGBvb4nAsu+HBycgIMB+/s7Hyej0ZERERERESkNzQ0NBAUFCTcx3viggs+TKUWZ2dnMfgQERERERH5l9EbyYQoOBURERERERE5p4jBh4iIiIiIiMg5RQw+RERERERERM4pYvAhIiIiIiIick4Rgw8RERERERGRc4oYfIiIiIiIiIicU8TgQ0REREREROScIgYfIiIiIiIiIucUMfgQEREREREROaeIwYeIiIiIiIjIOUUMPkRERERERETOKWLwISIiIiIiInJOueAGy4mIiIiIiFys6PV6Wtu1NKk0NLUZP8y+bm7T0GjcppTLuHZEMF5OyvN92H1GDD5ERERERETOMfUt7aw8Vsy6pFKqm9RCUNHcpkGn7/1+vtubx6sL+zEjwfefO9h/ADH4EBEREREROQfo9XoO5Nbwy8FC1p4spU2j6/a5Ugk4KOU4KeU4KOU42spxVJp92MrZm11NWlkjd31/mCuGBPL8JfE42dqcw9/o9BGDDxERERERkX+Q6qY2lh0p4peDheRUNgvbY32duGpYEDE+TpbBha0cOxsZEomkx/22abS8uzGTz3Zk8/vhIvbmVPP2FQMYEe7xT/9KZ4xEr9f3IcHzz9PQ0ICLiwv19fU4Ozuf78MRERERERHpMzqdnt3ZVfxyoJANKWW0aw23WnuFjHkD/LlqWBADg1xPGWD0hgO5NTz62zGKaluRSODOceE8Oj0apVx2xvvuC325f4vBh4iIiIiIyFmivEHF74cK+fVQIYU1rcL2AYEuXD08mEsG+OOoPPtFh0ZVOy//lcJvh4oAQ1bl3asGEud37u6jYvAhIiIiIiJyjtBodWzPqOTnA4VsTa9Aa1SMOtnKuXRQAFcPCybe/9zczzYkl/H08pNUN6tRyKQ8Nj2a28eFI5OeeYblVIjBh4iIiIiIyD9MYU0Lvx8q5LdDRZQ1qITtw0LduHpYMLP7+WGnOLelD4CqpjaeWnaSTanlAIyO8ODrW4b942WYvty/RcGpiIiIiIhIL9FodWxMKeenAwXsyqrCtHx3s7fhssGBXD08iEhvp/N6jJ6OSr64cQi/HSrkxdUp7MmuZn1SGfMHBpzX4zJHDD5ERERERER6wbb0Cl5Zk0pmRZOwbUykB1cPC2Z6gs85F3j2hEQi4aphwRTWtPLR1izWnCgVgw8REREREZF/C+lljbyyNpUdGZUAuNrbcO3wYK4aFkSIh8N5Prqemd3Pj4+2ZrEto5KmNs0/InY9HS6MoxAREREREbnAqGxs452NGfx6sACdHmxkEm4eHcr9k6Jwsf93mHnF+TkR5ulAblUzm1PLL5jshxh8iIiIiIiImKFq1/Llrlw+2ZpFs1oLwOx+vjw5M/aCz3R0RiKRMMeY/biQSi9i8CEiIiIiIoLBGGz1iRLeXJ9OcZ3Bo2NAoAvPzo1nWKj7eT660+dCLL2c/yMQERERERE5zxzKq+HlNakcL6wDwN/FlkUzY5k3wB/pOfDI+Ce5EEsvYvAhIiIiInLRUlDdwuvrU1l7sgwAB4WMeydFctvYMGxtLpzulTNBIpEwu58vH2/NvmBKL2LwISIiIiJy0VHf2s7HW7P4Znceaq0OqQSuGhbMI9Oi8HayPd+Hd9aZ08+fj7dmXzClFzH4EBERERG5aGjX6vhpfwHvbcqgtqUdgHFRniyeE0es7/+uq/aFVnoRgw8RERERkf959Ho9W9IqeGVtqjDWPsrbkWfmxDEx2uusTJe9kDEvvaw9ef5LL2LwISIiIiLyP01KSQOvrE1hd1Y1AB4OCh6ZFs3Vw4KQy6Tn+ejOHabSy9b08196EYMPEREREZH/SSoaVLy1IZ3fDxeh14NCLuXWMWHcOykCZ9t/h0nY2eRCKr30KeRbsmQJEonE4sPX11d4XK/Xs2TJEvz9/bGzs2PixIkkJyef9YMWERERERHpjjaNlg83ZzLxrW38dsgQeFwywJ/Nj07gqVmxF2XgAR2lF4C1J0vP67H0Od+UkJBAaWmp8HHy5EnhsTfffJN33nmHjz76iIMHD+Lr68u0adNobGw8qwctIiIiIiLSFQdya5j1/k7e3phBi1rL4GBXlt87mg+vGUSQu/35PrzzzowEQ/Cxx1iCOl/0uewil8stsh0m9Ho97733HosXL2bhwoUAfPvtt/j4+PDTTz9x1113nfnRioiIiIiIdEF9azuvr0vj5wMFgGGs/HNz45g3wP9/XkzaF9zsFQCotbrzehx9znxkZmbi7+9PWFgYV199NTk5OQDk5uZSVlbG9OnThecqlUomTJjAnj17zt4Ri4iIiIiIGNHr9aw5UcrUd7YLgcc1w4PZ/OgE5g8MOG+BR0WDitpm9Xn52b3hfMdjfcp8jBgxgu+++47o6GjKy8tZunQpo0ePJjk5mbIygzucj4+PxWt8fHzIz8/vdp9tbW20tbUJ3zc0NPTlkERERERELlJK6lp5bmUSm9MqAAj3cuC1S/sxItzjnB5Ho6qdZYeL+HxHDiX1KqvHZVIJlw0OYN6AAAYFu+JwAcxWkXB+o48+/QVmzZolfN2vXz9GjRpFREQE3377LSNHjgSwijL1en2Pkedrr73Giy++2JfDEBERERG5iNHq9Hy3N4+3/k6nWa3FRibh3omR3DspAqX8n7VE1+r0pJQ08P2+PH47VNTr1/x2qMjq+YODXVk4OJDLhwSeMyt3vf6c/JhTckbhl4ODA/369SMzM5MFCxYAUFZWhp+fn/CciooKq2yIOU8//TSPPvqo8H1DQwNBQUFnclgiIiIiIv+jpJY28NTyk8IAuKEhbry2sB9RPk7/yM+raFCxK6uKr3fncbK4/pTPd1LKuWVsGBFeDqSWNrLyaDFlDdbZEIAjBXUcKajj2ZVJ3DUhnKdnxZ3tw7dCjyH6+FeVXTrT1tZGamoq48aNIywsDF9fXzZu3MigQYMAUKvVbN++nTfeeKPbfSiVSpRK5ZkchoiIiIjI/ziqdi3vb87kix05aHR6nJRynpodyzXDgs/61FmdTs9bG9L5ZFv2KZ87PMydO8aFMynGy8qwbP5AeGpWLGCoApQ1qNiTVc2Ko8XsyqqyeO5n23NwtVNwz8SIs/Z79MT5luD2Kfh4/PHHueSSSwgODqaiooKlS5fS0NDATTfdhEQi4eGHH+bVV18lKiqKqKgoXn31Vezt7bn22mv/qeMXEREREfkfZ3dWFc+sOEl+dQsAsxJ9WTIvAR/nszsArkHVzm3fHORgXm23z7l5dCjXjggmytuxT2JWiUSCn4sdlw0J5LIhgcL2pOJ65n64C4A31qfh72r7j5p/mcou57sDqE/BR1FREddccw1VVVV4eXkxcuRI9u3bR0hICACLFi2itbWVe++9l9raWkaMGMGGDRtwcvpn0mEiIiIiIv+71DarWbomlWVHDFoJX2dbXpqfwPQEa7uHMyGtrIHZ7+9E14Ue4rFp0Vw+NBA/F7uz+jNNJAa4sOr+Mcz7aDcAD/1yDC8nJaMjPP+Rn2f6Fc935kOi118o8hMDDQ0NuLi4UF9fj7Pz/+6EQRERERGRrtHr9fx5rISX/kqhplmNRAI3jgzh8RkxOJ0ld1K9Xs+q4yU89Msxq8c8HBSsvG/MOTUlO5xfw2X/2St8//fD44nxPfsL95zKJia/vR0npZyTL844q/vuy/37/Pf7iIiIiIiIGCmsaWHxyiR2ZFQCEOPjxGuX9WNwsNtZ2b9ao+PVtal8syfP6rHp8T58cM2gc9Z5Ys6QEHe+v204N3x5AIAZ7+1g79OTz3rGRcg2/JsFp//r6PV6CmtaqWlRk1xSz5c7c8mpau7xNdE+jlw5NIjZ/fzwd/1n0nQiIiIi/2totDq+2p3LOxszULXrUMilPDQlijvHh2NzFibPVja2ces3B7vsWHlmdix3jAs/7zqIcVFefHztYO776QgAo17bwvEXpuNid/Zn0ZzvsosYfHRDcV0rt397iNTSvpmeZZQ3sXRNKkvXpArb3OxtWDQzlksHBZyXiFpERETkQuZkUT1PLT9Bconhejsq3INXF/YjzNPhjPd9pKCWhZ907bL90+0jGB15am2FXq8npbSB7RmVHC2oQyaRYK+UYa+QYa+QY2dj+lqGnUJu/CzDSSknMcClT9f9Of39qGlJ5LmVSQAMeHED2a/ORnaWOnr+lYLTiwG9Xs+7GzP4YEtWt88ZHeGBWqNDpdHSqtaiatehatdS3Y2Vbm1LO08vP8nTyw1D+J6YEcMd48JRyM88mhcRERH5t9Ki1vDOhgy+2p2LTg8udjYsnhPHFUMCz/jmuOJoEY/8etxqe4CrHb/eNZJAt571HHUtanZmVrE9o5LtGZVUNrb1+PzuCPGw550rBzIkpPdloxtGhlDV2Mb7mzMBeGFVEksX9Dutn2/NheHzIQpOjeh0er7ek8fLf6VYbJdK4KEp0SwcHNBr8VGrWktGeSMrjhbz+6FCmtXabp978+hQrhsR/I8Z5IiIiIhciGxNr+DZFUkU17UCMG+AP89fEo+n45n5Pm1KKef27w5ZbV8w0J9XF/bDXtH1mlur03OyuJ7t6ZVsz6jgWGGdVfdLgKsd/QJcUGt1VDSqqGxso6Kxzco1dEiIG6p2LcV1rdS1tCOVwL0TI3lwSlSfFp2hT60Rvs57fU6vX9cTmeWNTHt3B272Nhx9fvqpX9AHRMHpafD+5kwhyjTx3a3DGRvp2aOBTbtWR351C9mVTWRVNFHbrCbOz5kBQa48PzeeJfMSAIOI6p2NGaw4Wmzx+m/25AnCpzcv789lgwPPWnpNRERE5EKjuqmNF1ensOp4CWC4oS+9NJFJMd5ntN+sikamvrPDavsLl8Rz46jQLq+rlY1t7MysZFt6JTszK6ltae/xZxTXtQrBUk/Ut7Zz78QIJsZ48/JfKaw4WsxHW7PYllHBu1cO7PVic94Af+Hv1KbRnhXr+Asl2yBmPoDlR4p49LeO9Nyrl/bj2hHBFs9pUWvIqWwmq6Kp46OyifzqZtq1Xf8JnW3lDAhyZWCQKwMCXRkY7Iqno5LmNg3vb87k8x05Xb5uSqw371098Ky1lImIiIicb0ytrUtWJVNrzAbcNjaMR6ZFd5uN6A31Le1MfGurVeDw3lUDWTDI2qyrqU3DLwcKWHmsmKTi3mv6bG2kOCptcLKV46CU4aiUd3zYynFQylFrdCw7XESDSgNAoJsdd0+IwEEp48XVKdS1tKOQS3lyZiy3jA49pTPrvpxqrv58HwDL7hnFkBD3Xh9vd2SUNzL93R24Oyg48ty0M96fOX25f1/UwYder+e/O3N5ZW2HOLRzb7WqXcuTy07w57GSbvdjZyMjwtuBSC9HXO0VJBXXc7K4njaNzuq5gW52DAhyZZAxKPF0VPLDvnz+uyu3y31/f9twxkV5ncFvKSIiInJ+Kalr5dmVSWwxTp+N9XXizcv70z/Q9bT3qdHquOv7w8JEWxMPTI7k0WnRVpqRikYV3+7J4/u9+UJw0B2u9jZMj/dhVj8/BgW54qiUW1mnd0ejqp0f9hXw5a4cqpoMOkBvJyXzB/pzvLCeA3k1gEE7+H9XDCCgh65ItUZH9LPrALhscCBvXzmgV8fQE+lljcx4bwceDgoOi8FHB+cy+FhzolRoaQJY//A4Yn07fmajqp07vzvM3pxqwGA8E+HtSKS3IxFehs+R3o74OdtaRbDtWh3pZY0cK6zjWGEdxwvryKpssqoNyqUSYv2cmD8ggFBPB+7+4TDaLmz2LpRWMBEREZHeotPp+flgAa+tTaOpTYNCJuXBKZHcNSHitNtn9Xo9H2/N4q0NGRbbx0Z68vUtw6z2m1PZxBc7c1l2pAh1FwtCE272NsxI8GV2Pz9GRXiccXtvq1rLrwcL+HxHDiX1hsFyLnY2ONvJqWxsQ9Wuw8lWzre3Du/Rw+Rs6z7SyhqY+d5OPB0VHHr2/AUfF7Xm41WzjMfL8xMsAo/qpjZu/trQE+6olPP5jUO6tLvV6/UkFTewPrmUbemVyKQSAlztDB9uhs+3jgkjwM0OicTQUmYKSI4V1lHZ2EZScQNJxQ3Y2ki5bHAAVw0L5sf9+Sw/0qEPeXVtGq+uTeO+SRE8Pj1GDEJEREQuaHKrmnlq2Qn25xpW+oODXXnz8v5Eep++uH5zajm3fWspJrW1kbLnqSm4Oygsth8pqOWz7dn8nVze7f7cHRTMSPBlTj8/RoS7nxU/ERN2Chk3jwnj2hEhrDxazH+2Z5Nb1Ux9azv3TYpgV1Y1xwvreOvvdH66Y2S3+5ka58OmVMPvoNfrz/jar79AXMYu2uCjsKZFEA6FeNhz3YgQ4bHiulZu+HI/OZXNuDso+PaW4fQLdBEe1+r0HMqrYX1yGRuSy60ESCeKuh67bK+QEexuLwQmw0LDCPVwoLKpje/35pNW1shvh4r47VARg4NdefeqAcikUh78+aiwj4+3ZvPx1myuGxHMS/MTRXGqiIjIBYXJLOztDRm0aXTY2chYNDOmW9Fnb+hOTLr2wXHE+3csGnU6PVvTK/hse45Q3uiMp6OCmYm+zE70Y3iYe6/LKaeLQi7lymFBXDYkkHc3ZvDR1ix+O1TET7ePYMZ7O9iTXU1WRWO3Qdk9E8OF4CO3qplwL8ezclzne/160QYf8z/eLXz9w20jhLJJVkUTN3y5n9J6Ff4utnx/+wgivBxp02jZk13NBmPA0Z2nR0+0qLWklTWSVtZosT3K25EFgwK4Z6Idm1IrWJ9UypGCOo4U1OHhoODeiRFE+zjx8K/HhNf8uL+AH/cXMLufL29dMeCMBFsiIiIiZ4PU0gaeXHZCWICNi/Lk1Uv7nfaMlPqWdqa8s03QTpj46NpBzO3vL3yv1uj481gxn+/IIbOiyWo/Hg4K5vT3Y5Yx4OhLEFTV1IaNTHrGLqMyqYQHp0Sx5mQpuVXNLD9azJQ4HzamlPP93nxenJ/Y5esGBXWUZL7encfLC7p+Xm+pbTH8LR0U59fw8qK8Y+VUNlFjDB6GhrgJb4wTRXXc/PVBaprVRHg58P1tI/B3tSO7solrv9hHeUPvTWakEnB3UOLpqMDJVs7Rgjo0XY1MBDIrmvi/v9MBGBHmzoOTo6hvbeevE6WUNaj4ZFs2Uolh7sCwUHcLgezak2WsPVnGmEgP/nP9EJzFDhkREZFzTJtGy8dbsvhkWzYanR5nWznPzY3n8tM0C2vX6rjvxyNsSLEsmdw9IYInZ3aUnRtU7fy8v4Cvdud2eX32c7Hl7gkRXDUs6JQuo6ZxGkkl9SSX1JNcYiiHVzW1CfuK9nEixteJGOPnSG/HPrmXKuRSFs+O4/bvDvHlzlxemBfPxpRylh0pZtHMWByU1rdkcz3h9/vyzzj4yDAufs+3t9RFGXzM+WCX8PW3tw4HDPXBG/67n2a1lv6BLnx98zA8jG2xd39/mPKGNlztbagza+eK9XViYow3no4KvJyUeDqaPhS42issomutTk9qaQMHcms4mFfDgdyaLrMn+3NrhBrphGgvRkd4UFDTwqH8WjaklLMhpZxwLwfGRXry7d584XW7s6rpv2QDCwcF8Mbl/c9q7VJERESkO44U1PLkHyeEjMOMBB9enp+It7Ntn/el1+v5ZFu2sBgzMTLcnW9vHS74XJQ3qPhqdy4/7Sugsc26cyXY3Z57J0awcHBgl6ZeGq2OnKpmkooNQYYp2GjsogtGIjHoJErrVZTWq9huHHgHhkVmqIcD0T5O9At04foRIbjY97wAnBLnzbgoT3ZmVrEtvZJwTwdyqppZcbSY60eGdPmasZGe7Mqq6nG/vSXD+H+K9jk75ZvT5aILPjRaHa3tBsfRQcGuQqT5f+vTaVZrGRXuwRc3DcVRKUev17PI7E3loJALwcfNo0N5enZst6YvrWot+3OrSS5pwMtJSYi7PcEe9tw8OpRbx4ah1+vJrmwWgpH9OdWCItqE+Uk+Mtyd5jYtOZVN5FQ2k1PZjJ2NjKGhbuzM7Dgplx8tZvnRYh6cEsUjU6NEYaqIiMg/Qotaw1t/Z/D1nlz0evB0VPLy/ARm9fM7rf3tyqzi+i/3W2yzkUnY89QUvJwMrqd1LWo+2JzF9/vyuvRXivBy4L5Jkcwb4G+l5ahvaWf50SJWHy8huaShSysEhUxKjK8TCf7Oho8AF+J8nWnX6cgsbyS9rIn0sgbSyxtJL2uktqWdnKpmcqqaWZ9cxsqjxXx32/AeJ9FKJBKenxvPzPd3sjGlnKlx3uRUNfP93nyuGxHc5TX7/smRQvBR0ajC26nvgZ0JU+YjWsx8nFvM9RZPzowFoLZZLYiT3ry8P47GgOSLnTmsOVkqPL+4rhVnWzlvXj6AmYm+FvvV6vQkl9SzM7OKXZlVHM6vRa21PrmVcilB7vaEuNsbPnvYc8kAP+6bFIFEIuF4YR0Hcmv45WChxev25RiOz9NRga2NjMY2Da3tWiHwSPB3FoYyAXywOZMPNmfy5mX9uXJY0Gn/vUREREQ6szuriqeWn6CwxiC2v2xwIM/NjcPVXnGKV1pT06xm8Msbrbavvn+sIPRv02j5fm8+H2zO7NKjI9bXiQcmRzEz0dci46zX6zmYV8svBwpYc7LUIuBwUMiI93cmwd/FGGy4EOnt2GWmxA4ZQ0LcLUy+9Ho9lU1tZJQ1kVbWwH935pJZ0cRln+zhu9tGEOndfWYhyseJG0aG8M2ePFJKGlDIpaSXN3Iwr5bhYdZGYiPMtn25K5enZ8V1u++e0Ov1ZJQb7oHmflbng4su+PjIbGCc6R+6KbUcrU5PnJ+zoP/Yk1XFq2vTLF47JMSN968eKAwkKqlrZXtGJbsyq9idXWVRkgGDbfDgEDfqWtTkVxu6a9o0OsEhtTMSiUF8On9gANufmEhqaQNf7cqzUG2bC6+8nJS42NmQXdlEckkDMqmEBH9ni26bRctOsGjZCb6+eRiTYs/MvlhEROTipr61nVfXpPLrIcPiKMDVjlcX9mNCdN+NEPV6Pc+sSOLnAwUW282dSfV6PeuSynh9XRoFNS1W+xgQ6MIDk6OYEudtkTGobVaz7EgRPx8oILuyWdge6+vENcODGRflSaiHwykdRntCIpHg7WSLt5MtY6M8mZnoy41fHiCnqpkrPt3D17cMZ2CQa7evf3hqFCuPFVtkvL/bm9dl8GH+u21JrTjt4KO8oY0GlQaZVHJWJgafCRdd8LE+uUz42vQP/du4bWaCIZtRUtfK/WbtrQD3TozgkWnRgpZi2eEiFi07YWEI5qiUY2sjEwRK7Vod+3Kq0ev16PRgb8xYdIdeDxnlBvHp//2dzvAwdy4dHMDjM2JYcbSInw9YZkMqG9uobGwj3MuBtnYdxXWtnCiqx9ZGSqS3o4V18C3fHARg06MTeozIRURERLpiQ3IZz65MosI43fWmUSE8MTNWyBT3hf051VxltA03sWCgP+9cOVAICI4U1PLKmlQO59davX5YqBsPTI5iXJSncB3X6/Xsy6nh5wMFrE8qEzLPdjYy5g3w55oRwQwIdPnHStGBbvb8fvcobv3mIMeL6rn2i318ev0QxncTmLnaK3hsWjTP/ZksbFufVEZFg6pHvUyDquf5Mz2Rbsx6hHk6nJU5MWfCRRV8FNV2RM7XGWe3NLdp2GEsXcxI9EHVruWeHw4L3TAA/71xKFPjfYTvt6ZXCIHHgEAXJsZ4E+Bqx4aUMjaldlj9VpzmCGYTB3INwlSFTMqUOG/evKw/FY0qfj5QaOEtkmOM7D0dFajadTS1aUgqbsDZVo6Ps61F69nUd7bj52LLpkcndKmsFhERETGnsrGNJauTWXPCUIIO93Lgjcv6Myy073NGmts0jHpts1Xp5MDiKYKOobCmhTfWp/HXiVKr14+L8uT+SZGMCPcQtlU3tbHsSBG/HCgkp6ojy5Hg78y1I4KZN8D/lHOy9Ho9JfUq0ssaqGluJ9LbkRgfJ+z62I7q4ajkpztGcvcPh9mZWcVt3x7krSsGMH+g9YwZgGuGB/P17jzhuDU6Pb8cLOTBKVHd/owz6WjMLDfpPc7/AvSiuvvsyaoWvjalCbdnVKLW6AjxsCfGx4nn/kziuFnZYmiIm0XgcbSglnt/OIJWp2fhoACemBnDB5sz+WhrFlqdHqnEUP+8engwSrkUqUSCVIrhs0SCVNLxtUQCZQ0qdmZWsSOjkhNF1iOcAdRaHeuSyliXVIarvQ2zEn1xtrXhRFG9YP0OWPXCN6g0NKia8HZSotPrhcdL61UkvPA3Vw0N4vXL+omiVBERESv0ej0rjhbz0l+GgWgyqYS7xofz4JSoPrWXmnhnQzofmJW9wdKvo761nY+3ZnU5cHNKrDf3TY4UbMh1Oj17c6r56UABG5LLBPGpg0LGvIEBXDs82MIY0pz6lnbSjKLRtDKDcDSjrNEqKy2RQJiHA7F+TsT5OhPr50ysrxOBbnY9XjMdlHL+e9NQHvvtOH+dKOWhX47RoNJwQxedLHKZlIHBruRUNQtdL5tTy3sMPpxsT/+2nX6BiE3hIgs+zNNVph5nU8llRoIvLWqtVWnjhlEdJ0x2ZRO3fnOQ1nYtA4Nc8XBUMOmtbajaDem9qXE+LJoZ06d/bJC7PcNC3Xl0WjR1LWp2Z1WzM7OSHRmVVt0vAHUt7cIxBrvbMzPBlwZVO3uyq62ea8KUgQlwtbPImPx6qJBfDxXy7lUDuHRQYK+PWURE5H+b4rpWFq84ybZ0Q8ddvJ8zb17en8SArm/oPZFcUm9hbwCGDMY3twxHJpXQrtXx47583tucaaWbGxjkynNz4xkSYgg6tDo9f50o4f1NmRZZjgGBLlwzPJhLBvhbZHRb1Bo2p1ZwsriedGOgUdZgfV0Fw5ytCC9H3BxsyCxvorpZLXSyrD3ZUa53UsoZHOLGy/MTCfbo2jxNKZfxwdWD8HBQ8O3efF5anczcfn64OVgLcoOMGkJTuam+teeyivMZmJ11tNmKwcc5xVzkGeRmh1qjE6Yszkjw4URRvYWGw8NBIXS1lDeouPHLA8LY5pSSBo4V1gGG7MhTs2IZehppSHNc7Q0ufHP6+wmtuDsyKtmZWcm+nBqhRdhEQU2LIMKK9XXCx9nWoj23M6bAw9NRKehSAB759TiP/HqcdQ+NI87vnx3mJyIicuGi0+n5cX8+r69Lo1mtRSGX8tCUKO4cH95n76A2jZbZ7++0EHwC7HhiEsEe9uj1ev5ONohJc6ssn+PnYsuTM2OZN8AfqVSCTmd47jsbM4QyspNSzoJBAVw9PIgE/46gSK/Xcyi/lj8OFbHmZClNXejsAlztDGZhvk7EGj+He1p2ulQ0qkgrbSStrIG00kZSShvIrmyisU3D9oxKFv5nN1/eNIwB3YhKpVIJS+YlsD+3hrSyRjaklHHVsGCr55maHOqMzqNdeY2Yc7plF51Ob1Z2EYOPc8rJ4o5yilwmZXtGJY0qDV5OSgYFufGf7dkWz79qWBBKuYwGVTs3fXWA4rpWAt3saFFrqWlWE+XtyKKZsUztpLQ+G0gkEmFq7q1jw2jTaDmcV8uWtAr+OFJktUIw2bYPCHQhxteJ3w4Vdbtv88DDnFnv78TN3oatj088rZY5ERGRfy9ZFU08s/yk0F03NMSN1y/rf1oC9W9257JkdYrFtpfnJ3DDqFDA4Ca9dE0qB3It568oZFLunxzJHePCsVPI0Ov1bE4t552NGYKVgLOtnDvHh3PzmDALsWtpfSvLjxTzx+Eii2AmxMOeCdFeQqAR5ePUqxu4qZPFXDCq1ujIKG/kyWUnSC5p4OrP9/HxdYOYHOvT5T4kEglz+/uRVtbIXydKuw4+3AyeIKZrek9NCXD6ZZfiulZa1FoUMimh3WRsziUXVfBh7oMBHSWX6fE+SKUSjhbUCY9JJHDtiGA0Wh13fneItLJGPB2VzEzw5b+7cnGzt+GPu0ef0s3ubKGUyxgd6cnoSE8emx7DiqPFfLU716pl93hRPceL6onzcybA1U4YSNRbalvaGfjSRq4dEcwrCxJFPYiIyP84qnYtn2zL5j/bsmjX6rFXyHhyZiw3jAzpcytqXlUzE9/aZrEtxseJ1Q+MRSGXUlzXyv+tT2PlsRKr1142OJAnZsTg62KLXq9nZ2Ylb2/IEDLMDgoZt40N47Zx4cKcFVW7lg0p5fx+qJBdWVXCxFZ7hYw5/fy4YmgQw0LduryOtWt11LaoqW1up6ZZTW2LmvrWdmJ8nRgU5NrlaxRyKYkBLvx61yju/fEIOzIquf3bQyxd0I9rR1gHFgCz+/nx1oYM9mRXU9Ostpq+a8p8mMZvqDU62jTabrtRTrfsYvL3CPdy+MeH6fWGiyr4MCGRGFJQG4yjlmck+KLX6zla0NHSNSXWm0A3e7amV7AvpwYHhYwPrh7IvT8dAeDRadHnLPDojJ1CxrUjgrlmeBA7Mqv4aleuVbkltbSB1NIGwr0ccLWz4YhZYNUbftpfwE/7C/jmlmFMjBH9QURE/hfZm13N4hUnBf3E5FhvXpqfIHgZ9RaNVscNXx6wEMADQim3Ra3h/b8z+GJHrpX54rBQN56bG0//QFfA0OX31oZ0IStiayPlptGh3DU+AncHBXq9nmOFdfxxuJBVx0osOmdGhLlzxdAgZiX64qCUU9/SzoqjxezLqaa6SU1Ni5raZjXVzeoeyxsBrnbM6e/H3P5+9Auwbs91VMr58qahPLP8JL8fLuKZFScpqWvlsenRVs8N93Ik3s+ZlNIG/k4u45rhlkGKj7MtCpnU4u/SqNKgdOwm+DjNsktG+YWj94CLNPjoF+BCdbNaKD+MDPegsKbVYtaKyWN/Z4ahDXfeQH82pVZQ19JOlLej1Ql0PpBIJEyI9mJCtBeZ5Y18vSeP5UeKBAEsdLTh+rnYYmsjs6qtnoqbvzb4gxx+dioejsqzd/AiIiLnjdpmNa+uTeX3w4byrJeTkiWXJDC7n2+fs51/HivmoV+OWWx7ZGo0D02NQq/Xsz6pjJf/SrEQuwMEutnxzOw4ZiUafuaxwjre3pAuuDYrZFKuGxnMPRMj8Haypaqpjc93ZPP7oSIL+4AAVzsuGxzAZUMCCfFwoLS+lWVHivg7uYx9OTUWOr7OSCTgZq/Azd4GdwcFdgo5h/NqKK5r5fMdOXy+I4dgd3vmGrV48X7Owt/HRiblzcv74+9qx/vGjseSulZev6y/lUvqnP5+pJQ2sOZEqdW9QyaVEOBmZ3FtblJp8Ozmenu6ZZcLxdnUxEUTfOj1HSdgYoCLcELKpRIUcilHCzuyHsHu9oyPMtT5dmYaMgoBrna8tykTgOfmxp9x2qpR1c6OjCpSSxtwsbPB00lhNphOibuDok9jn6N8nHj10n48MT2Gnw4U8N3ePIspj6XGzhkXOxv0en2XFsU9MWTpJub09+OjawaJpRgRkX8per2elceKWfpXqrDYum5EMItmxvZ5ZHxFg4rhr2622ObuoGDnokk4KOXkVzfzwqpkoWPGhKNSzn2TIrllTCi2NjKSS+p5d2OG4JEkl0q4clgQ90+KxN/VjopGFS//lcIP+/IFe3SlXMqsRF+uGBrEqHAPsiub+OtEKRuSyyysEsBQ9pkc502wuz3uDgrcHRS42Rs+u9jZWF1nVe1atqVXsPpEKVtSKyioaeGTbdl8si2bcC8Hli5IZHSEJ2BYAD4yLRp/V1ueWZHE8qPFRHg7ct+kSIt9zunnx//9nc6e7Cqqm9qsFnKBnYKPnrIyZ1p2ibpATCYvouCj42s/Z1u0xg2Cm56Zi97lQwKRSiWU1reSWdGEVAJb0yvR6PRMjvXu1rHuVJTWt7IptYKNKeXsza7qcjCSCanE8Eb2dFTi4ajA19mOcVGeTIr17vEi4eag4L5JBsHWuqRSvtyVa2G3bmrjkkro0lOkJ9acKGXNiVL+c93g0x4eJSIicn7Ir27m2ZVJQmYh2seR1xb2s5hX0hv0ej2P/nacFUeLLbb/fvcohoW6o2rX8s7GDD7YnGn12muGB/HotBi8nJRkljfy7qYMoY1VKoGFgwN5cHIUwR72VDSoeHF1Mj/tLxCCjv6BLlw9LJg5/fzIrmri7+QynluZZNF2K5HAkGA3pif4MD3el9A+2ojb2siYmejHzEQ/WtQatqRV8NfxUramV5BT2cyd3x1m+b2jLcoXVw0LRqPTs3hFEr8dKuTeiREWi7RQTwcSA5xJKm5gfXIZ142w9Pww6T5MNHZyMTVfPDufRuZDq9ML+kAx83GOMRdOtWl06Ix3XpnxBDlqFDWBIQoFw5RFMNykD+fXIpdKWDynb5766WWN/J1cxsaUcotuG4BwTwdGGKfVVjW1GT8Mwied3mAaZm4ctuxIEXKphFERHsxI8GV6vE+3NrwKuZT5AwOYN8Cfw/m1fLU716JXva+Bhzn3/GjQvRx4Zsppjc0WERE5d7RrdXy+I4cPNmfSptEJ7bN3jAvvcohaT3Rli37DyBBemp+ARCJhS1o5z/+ZTFGtZYlldIQHz86JJ97fmcKaFh759RgrjxWj1xuChUv6+/PQ1CgivBwpb1CxZFUyPx/oCDoGB7vy8NRowjwd+GZPHtPe3W7hIK2QSRkdabguTonzPqOpr+bYK+TM7e/P3P7+NKraue3bQxzIreG2bw/y531jLcSjlw4K4JU1qeRXt3CkoE7wJjExp58/ScWG0otV8NFJY9O540VjdsE+lVtrVxTUtNCm0WFrI7X6WeeLiyb4MKdNoxX+mTKpBFW7lhSzThiToMd8VD3AjaNCifDqfcrqk21ZvLk+XfheIoHBwW5Mi/dhapyP0MKm1+sprVeRXNJARnkjDgoZLvY2OCltkMsk1DSryapoYmNKOZkVTezMrGJnZhXP/ZnEoCBXZiT4MiOh6whfIpEwNNSdoaHuZFU08n9/p/N3ct86YLpj+KubmdPPj4+uFUsxIiIXIofza3lm+UlhpseYSA9eWdCvz9kAVbuWcW9upbLTyIijz03DzUFBYU0LL/2VwsYUy2tLmKcDz8yOY2qcN63tWt7ekM5nO3JQG4OKmQm+PDItmhhfJ8rqDUHHTwcKhMeHhLjx8NQoXO0UfL4zh7UnS4WSuaNSzqRYb6bH+zAxxuu0bsp9wcnWhk+vH8KCj3dTUNPC3d8f5ofbRwgBnL1CzsxEX5YfKWbF0aIugg8/3lifxr6caiob2/By6ii9BLnbWTy3c9ml3UyM6mLX99u2ydk0ytvpjIbpnU0uyuBD1a4TTmCpxOD/YR5ZutjboNPp2ZXVEXxIJfDglEirfXXHLwcKhMBjcqw3MxN8mRTrjYeDgrzqZpJKGvj9cCEpJQ0kFdcL5mWdUcqlhHo4EObpwJQ4H6bE+ZBZ3kh6eSNFta0cKajjSEEdr61LI8bHiRkJPkxP8CXB39kqIIj0duKzG4ZytKDW+Cao6fJn9oU1J0tZ83SpODVXROQCokHVzpvr0/hxfwF6vaGE++ycOC4dFNDnhUJXnh2fXj+YmYl+tGm0fLQlk7c2ZFi9bvHsOG4aHYqNTMKfx0p4fV2a4C46KtyDZ2bH0S/QhdL6Vp7/M4lfDhYKQcewUDcenBKFRqvnk63ZFl0046I8uXl0KGOjPM/5cDR3BwVf3jSUhZ/s4UBeDYtXnOTNy/sLf9OFgwJZfqSYv06U8tzceIvjC/awJ8HfmeSSBvblVHPJAH/hsc7ZiKZOZZc2syaC0wmyMi4gczETF2Xw0abRotN3ZD6Om5VcwJD5SCltsBguF+Bm12vjrQ3JZTyz4iQA902K4IkZsQCsOl7C838mWRmEmY4jytuRWF8nmto05FQ1U2hMlaUbg43OyKUSlHIpShsZ9a3twvM+2JJFoJsd1wwP5voRIVYtwYOC3fj5jpFsz6jkzfXppJQ2WO27r5im5h57fppoUCYicp4wjaBfsipZKEtcMSSQZ2bHdWnt3RPFda2MeX2LxbZhoW78cucoZFIJOzIqeWFVslUH3dz+fjw7Jx5fF1uOF9bx4upkodU/yN2OxbPjmZHgQ2m9iudWJvHrwUKhzXR4qDv3TIqgsrGNl/9KEdpD5VIJlwzw5/ZxYRZupqeiTaMls7yJhtZ2vJ2VeDnZ4mwrP6NMbZSPEx9eO4hbvznI74eLiPZx4o7x4QCMivDAx1lJeUMbW9MqBYdsEz7OtiSXNNCitsxs+LpYlok6Zz7Mvz+dbpeMC2ignImLNPjoyHzIpFKhrmjC2U7OyqOWJjihHr1LUx7IreGBn4+i08NVQ4N4fHoMOp2e9zZnCgIspVxKnJ8zCf7OJPi7kBjgTLSPk9WwJo1WR3FdK7lVzVYfxXWtaHR6NGotzWotno4KHJRylHIpBTUtFNW28n9/p/Px1iyuHBrEbWPDLERNEomEiTHejI/yYvWJEt7ekCFYtZ8JA1/aaFEDFhEROTcU1bbw/J/JwsiIME8HXrm0ozOjt+j1eu7/+agwxdbEhkfGE+3jRGl9Ky//lWKhITP9vJfnJzI2ypOKBhWP/36cP4ytvPYKGfdNiuS2sWHUNKt57s8kfjtY1BF0hLlz65gwcqqaePKPE0Lg5KCQcc3wYG4dG4a/q2VpojOqdi1pZY2cLK4nubiepBLDPJfOwn5bGyneTrb4OCsNLqbOSvxd7Jg/yL/XWpGJMd48NzeeF1en8Oq6VCK8HZgc64NMKmHBwAA+25HDiqNFVsGHwtglqe50TFbBRifNh/lcMtvTyPYIwccFIjaFizX4aDcPPrC66Tvb2ggttk5KOY1tml4FH2llDdz+7UHaNDqmxvnwyqWJqNp1PP77cdacNLyR7xofzuMzYno1J0EikeBqryDSW4Kviy2XDPAXer9b1YZ2sFXHS9icVmEhTg33ckAhk1LWoKKupZ1v9uTx3d48ZvXz485x4RazCKRSCfMHBjAr0Y9fDhbwweZMq+m4feX7ffl8vy9fUL+LiIj8c2i0Or7Zk8c7GzNoUWuxkUm4Z0IE906K7PP02b3Z1VzzhaWg1JS9VWt0fLo9m9fXpVm97okZMdw+LgyA/2zL5qMtmTSrDbOoFg4O4MmZsUgksHRNCr8eLBQCghFh7lw5NIiU0gYe++2Y8BofZyW3jgnj6uHBXXb36XR6jhfVcbywjiRj6TqzoqlHTw8TqnadxVwsEx9syeSZ2XFcNTSoV7qIm0eHklnRxE/7C3h9XZpgsX7pYEPwsSWtgroWtUUm2KQPUXda8FZ3GnnRudslv7rjWPuq2VBrdILfk1h2Oc/Ut7Z3BB8SCbY2HYGATCrBRiblUJ6h9TbAzY60skZCTuGFX1Tbwk1fHaBBpWFYqBsfXTuI6mY1d3x3iBNF9djIJLyyoB9XDguyeJ1Wp2fZkSLWnCilrrWdJlU7TW0aGlUaWtRaq58T5G7HoCA3BgW7MijYjfevHkSbRsvGlHJWHS9hZ2aVcKKZo9N3tMoOD3PnznHhTI71Fk5khVzKjaNCuWxwIF/tyuWzHTldDmTqC1d8uhdnWzl7n55iMWlSRETk7HCyqJ6nV5wgqdhQOh0W6sarl/YTpnb3lla1lrFvbLEwWgQ4/sJ0XOxs2JNdxfN/JluNc5ga580LlyQQ6GbHxpRyXlmbKtwoBwS5suSSeOL8nPlyVy6fbM0SgotR4R5MT/DhWGEdi5adEK7HMcYSxrwB/l124hRUt7DsSBHLjhRZddScDg4KGUND3alqaiO5pIGnl59kxdFiXlvY75TNBRKJhEUzYvj5QAEZ5U1UNKjwdrYl1teZOD9nUksb+OtEqWBYCd0HH50XfHY2ltfLg3mnr8/Lq25Go9PjqJTj73LhdCdelHeEpJJ6C58P8zSWs62cdq1OSAeaTpJTZT5eWp1CeUMbMT5O/PfGYWSWN3H7dwcpb2jDzd6gkh4R7iE8X6/Xsy29ktfXpXWp5zBHKZfioJRT26KmsKaVwppWVh03lIUUcimJ/s4MCnbj8iGBPD49hmOFdaw+XsKBvBoLfxMTB3JrOJBbQ7iXA3eMC+fSQQHCCslBKeeBKVFcNzKEj7dm8eWu3FP8NXumQaUh4YW/eXRaNA9OiTqjfYmIiBhobtPw9oYMvtmTi05vuG493YdVuzlf7crlpb86C0qHMDPRl4oGFQ+uTBKuNyYCXO1YMi+BafE+ZJQ3csOXBwSBvreTkqdmxbJgYABrTpZy/09HBXfT/oEuXD8yhN1ZVbxoJmIdE+nBHePCmRDtZVWubW7TsPZkKX8cLmJ/bu9vwrY2UpxsbXBSynG0leNkK8dRKUej1bM7uwpVu45mtZbtGZWEetjjoJDRrNZyILeGWe/v5MHJkdw5PqLHdmRXewWJ/i6cLK5nd3YVlw4KBGDhoABeKW1g1bESi+DDlPG2ynw0W2Y+One/dP779wXBXMzH8YIqhV+UwUejStPh8yGVWKQmne1sMP//5FYbsgihnt1nPlqNJzDAO1cNoE2r5Zov9tHUpiHK25EvbxpGsFnm5HhhHa+tSxW6TVzsbLhzfDjRPk7CG8TJVo6TrQ2OSrlw8jeo2jlRWM/RglqOFtZxtKCW2pZ2oePFhJ+LLfMHBvDQ1ChSShpYfbzEyvUPDNbrTy8/ydsb0rlxVCjXjwwR+tbdHRQ8NzeeW8aE8u7GTJYd6X5Kbm94Z2MG72zMEOrGIiIip8emlHKe/zOJEqNr8bwB/jw3N96idbM3FNW2MPaNrRbbRoS589MdI9Hr9Xy1K5fX1qVaaSbunxTJfZMiadNoeeHPJH7YX4BWp0chk3LH+DDunRhJRnkjl3+6R7gu+bnYctvYMAprWli84qSwz7n9/bh7QgSJAZYiUp1Oz77cav44XMS6k2W0tltngTtjI5MQ7+eMs52NcE3XaHUGbZxWj1qjo1bbzqQYb56/JJ7jRfWsOVHC1vRK8qotSzBqjY63NmSw+ngpH1wzqEdjrtGRHobgI6taCD5GhBvKzYW1lvtVGq/l7dqeMx+du19MzQ/2ir7rPUz+UjEX2HX3ogo+Ir0dhbSh1iL46IhsnW1tkNARfZhMcHoatLQ3p4o2jY4AVzvi/Zz5aEsWTW0aYn2d+O3uUYJvSGFNC2+sT+Mvo5BLIZdyy5hQ7p0Q2eWQOrVGJ7zpFHIpzrY2jI3yZGyUp/HY9ORXt3C0sJajBXUcLagjtbSB0noVn27P5tPt2QwPdef6kSG84ufMzwcK+P1wUZcpv3c2ZvDJNoM49b5JkfgYzcMC3ex5+8oB3Dk+nNfWpVpZJfeV6e/uoH+gC8vvGX1BTFYUEfm3YDLfWpdkEHoGudvx8vzEPg9+1Ov13PfTESvB6MZHxhPl48SxwjoWrzhpNQV8bKQnL85PIMTdnp8OFPDOxgyhc29mgi/PzI5DJpPwzIqT/GmcWmtnI+PGUSFIJBLe3ZghlF3GR3uxaEaMVdCRX93MsiPFLDtcZDUL5lS0a/VdLrI6cyC3hrc3pDMt3odrR4Twf1cMYEtqBX+dKGVLWjk6vWHERlObhvTyRu754TAbHhnf7fVqbKQnn23PYXdWFXq9HolEgr3CcGvtXDoXyi7anjUf5s0B5u6mlw4KOOXv1xnTfLKRZpn3C4GLKvgYEOjaEXzozTUfHdGkS6fMB4C/i12Pwq3NxpkEk2O90er0/HSgAIA7x4cLgUd1UxsLPt5NdbMaicRwEj02PYaATgputUbHzsxKVh0vYWNKuXDyyqUS7Gxk2CmMH8avHRRyEvydmRbvwzOz49DrYXtGBb8dKmJbegUH8mo4kFeDo1LOJQP8+PCaQRwtqOPHfflWimpVu47v9ubz26FCbh0Txl0TIgSxV4yvE9/cMpwtaeW8tDrFaqXQF04U1RO5eB1vXzGAy4YEnvZ+REQuBnQ6PT/uz+fN9ek0tmmQSSXcPi6Mh6dEY9fHlfCe7Cqu/WK/xbYHJkfy2PQY6lvbeXblSX7YV2DxuJeTkufnxjO3vx97squ554fDQgtsjI8TL1wSz4AgVz7dns3nO3Jo0+iQSGD+AH8C3Oz49WChsLLvF+DCU7NiGRPZ0YGj0+nZlFrOf3flCpNs/2k0OkNL8rqkMgJc7bh6WBCvXJrIljRvnl5+koKaFh6dFs03e/LIqWrm10OFVq6kJoaGuKOQSSmtV5Fb1Uy4lyMOSsP/pXNLrY3McHOxFpxaZj5MLtuAhZPrgj4GH5WNbYKVgmnReqFwUQUfA4NchPKBzvi/l3YSnDrbya2Cj55KLnq9XmhtmxznzZa0CkrrVbjZ2zDbbP7JK2sMg5wivBz48JrBxPs7C4/pdHr259aw6ngJ65JKu/QB0ej0NLZprAIGgF1ZVXy2IwelXMqwUHfGRXny2PRoXrk0keVHivntUCH51S38fKCQnw8UEuXtyC1jw2hVa1hxtESY7mtC1a7jk23Z/Li/gPsmRXDjqFAh+Joc68OYSE++2pXHu5syrN5EfeGx34/z2O/HRZt2EZFuOJxfw5JVKULqfECQK69d2s/i+tEbWtVaxryxxcK7CAyCUmdbOSuPFrNkdbLVtee2sWE8PDWKFrWWB34+KmRtXe1teGx6DFcNDWLl0WIe+vWY4H46PNSdwSFurE8qZaUxAxLiYc8TM2KYnegnaFK0Oj1rT5by8dYs0sp61r39kxTXtfL2xgw+3pbFt7cM56EpUby/OZP3NmUwMtyDPdnVvLcpk0sHBQgZDXPsFDIGh7iyL6eG3dnVhHs5Ym8UjLYbyz2mjIdCZriOdrZ3MNd8eDgoLAT629IrhK/7BfTe4wRgV5YhU50Y4NztlNzzxUUVfJi3mNopDCdDdXObhQudnY3couwCENKD2DTFWOaws5ExKtyDO78/DMCVQ4OEG/auzCqWHy1GIoG3rxxoceH4fl8+H23JtJhA6+WkZG5/P+YN8Cfe3xmV2lB+aVFraG3X0qrWGr/XUt/SzoG8GnZlVlHWoGJXVpVB+LXOcBKPjfLkvkmRKOVStqdXsjaplMyKJjI3ZyKXShgX5YlcJiWtrIHCGss0Z31rO6+uTeOb3Xk8PC2aywYHIpNKUMpl3DMxgoWDA3h9XZrVgKm+MvzVzcwb4M/7Vw+8oARRIiLni/IGFW+sS2O58b3lpJTz+IwYrh8Z0qdp1wD/3ZnD0jWpFts+v2EI0xN8ya5s4p4fDrMnu9ri8aEhbry8IJEob0e+2ZPHe5syaWrTIJUYZrk8Mi2a1NJGFny8W1hZB7vbMzHGi6MFdXy6PRsAT0cFD02J4urhwYLYsl2r489jJXyyNctiINz5xGSpcM+PR/jzvjFUNKr4+UAh+4zOqpWNbXy5M5cHuhHNj430NAQfmVXcMDLEIiPVqtZ2BB+90HwEdhoyt+xwx/W1r63TO4wlF9OU9guJiyr4MBc6miLPqia1RRRa3dxmlfkwT4F1Zoux5DIm0pOyehU7jMLTa0cEAwbjm8UrDW6nN44MYaBZAPTj/nyeW5kEGNTqsxL9mDfQn5HhHhYXGKVchgvdW+peOSwIvd4wtXBnpiH42JdTTXWzmj+PlQj11zg/Zx6cEoVcKmHNiVKOF9Wz1ajhiPJ2ZGaCL3nVzVarkJJ6FYv+OMEXO3J4YkYM0+J9kEgk+Djb8u5VA7luRDBLVicL7X6nw6rjJaw6XsIPt4244NKDIiLnijaNlq935/HhZoNPhkRicCh9YkZsnwWlBdUtjP8/S0HpyHB3frx9JO1aHe9sSOeDLVkWjzsp5Tx/STyXDQ7kSEEtcz/cJVwPBga5snRBIg5KOYv+OMEG4xwXJ1s5U+N8KK1v5bu9+YChhfXO8RHcPi5MWMW3abT8cbiIT7Zm91nP8U/TYtTW1TSrufP7w/x210gqG9vYlNqRdfhsRw7XjgjGo4sMwuhIT9iQwd6caoP4Vi7FRiahXaunWa0RNH3dt9p2LD6DOt1vDpxmm61Opxf8qk53Evs/yUUVfJhHjdkVTfg621LWoKLE7I1QVNtK53VFu6Z745rNxpLLlDhvQesxIdpLyJZ8uCWT/OoWfJyVPD4jRnidaRQ0wN0TInhkWtQZzSmQSCRE+TgR5ePErWPDUGt0HCmoZVdmFTuzqjhZZBCjppY24KCQsXBwILeNC+dYQR2/HSo0ZEMqmoj0dmThoAAKa1s4aPQ6MZFZ0cSd3x9mSIgbT82KFQzEhoa68+d9Y/ntUCFvrk/rdk5Nb7j+y/3Y2kg59Ow0HEVvEJGLiK1pFbz0V4pgVz4wyJUX5yVYZGx7g1an55ZvDgoLIRObHh1PpLcT2zMqeW5lkpXJ1jXDg3lyZgw6PTy1/AS/HTKUqF3tbXhyZiyzEn35cEsW3+3No12rR2bMnGp1eiH7aSOTcN2IEO6fHGlhiPjzgQI+2pplVfY5l/i72OLhqLSaLg5YmJOlljbw1LKTfHDNIK77736OGjt2mto0fLgliyXzEqxe3z/ABSelnPrWdpJL6ukf6Iq9wvC9uehU0YXmo02jtXA4DXLvusw/Iqxvho0ppQ1UNalxUMgYHOx26hecYy7aq/vRwjoivB0oa1BZROFFtS1Wqf/alq7fMJWNbRwvqgNgTIQnb643OP+Z+rozyhv5bHsOAC/OSxAGAplbsF89LIgnZ8ac9XKDQi5lZLgHI8M9eHxGDLXNav48Vsz3+/LJrmwWXEiHh7rz5KxYyupb+X5vPlkVTWRVNBHm6cC1I4LJq2q2Sskezq/lik/3MjXOmydmxBLj64RMKuGa4cHMTvTj3U0ZfLMn77SPXdWuI/GFv3lwciSPTo859QtERP7F5FQ28fJfKUIW0stJyVMzY7l0UECfPTvWJ5Vx9w+HLbY9PDWKh6dGU96g4r6fjljZpsf6OvHKpYkMCnLjl4OFvPl3mqD9uGpoEItmxrA1vZKp72wXygPDQ91xtrNhR0al0Lkxf6A/j02LEWwFGlXt/LCvgE+3Z1PfevoLkq5wsbNhSIgbQ0LciPdzBglotXo0Oj06veGzVqdDo9WTWdHELwcKKKlXUVKvwlEpJ9BoHtkda06WEuvrxBPTY7j2vx0C3R/353PLmFCrUrxcJiXC25FjhXWU1qvoH2hoizUEHx2BRVfdLp0DMvM2W/PyzGWD+ybO32HMeoyK8OjRq+R8cdEGH5tSylkwKIDdWdUUmznlqdp1VsFGXTfBx/7cavR6iPdzJqXUMJnW38WWycbprs+uSEKj0zM1zocZCQaP//SyRm7/9iBqowX70gWJ50Tn4Oag4OYxYdw0OpS9OdX8sC+fv5PLhW4YT0clCwcH0q7VseZkqTBDJsjdjjn9/cgsbxQU7iY2pVawOa2ChYMCeXR6NAGudrjY27BkXgLXDA9myapki2mUfeWDLVl8sCWL9Q+PI9a3bwI7EZELHcNKOpOvduXSrtVjI5Nw65gw7p8c2efJpbXNaga9vNFim6NSzr5npmBnI+Pr3bksXZNqZT/+zOxYbhkTRnpZIwv/s4djxiGbcX7OLF2QgJ2NnLu+P8yhfEMWNNzLgQGBruzJrhJ0auOiPHlyZqzQNlvf0s7Xe3L5cmdulwL50yHEw54hIW4MDXFnWKgbEV6OfQrMHp4axbIjxXy9O5ecSkNpWSqBYaHu3RqXvb0xg0+vH4yzrZwGlQZ7hYwWtZZlR4p5dFp0tz9Laryemzw5zDMfpq8VZm27nTtdzA3GjpkNPZ0W79PL39aAKfN1IZZc4CIMPkwnUINKI9jndq4/Fney7a3ppozQZEyV+bvaCmLNoaHuyKQSKhpUHMirQSpBGLJWWt8qWLAPCXHjw2sG9dnrokWt4XB+rcEq/WSpRbpuUowXVw0LZniYu2AW1hmJRMLoCE9GRxg0Kj8fKODnAwVUNLbxzZ48pBJDpCxBQkppg+Co6udiy9AQN/JrWgRVOxh8UJYdKWL18RJuGh3CA1OicLa1IcbXiZ/uGMG6pDKW/pUiGCKdDjPf20msrxOrHxjbq5k4IiIXMjqdnpXHinltXZrwXpoQ7cXzl8Sf0tK7M3q9niWrkvnWqLUw8ePtIxgT6cnxwjoWrzxppceaFu/DknkJOCrlLP0rhe/35aPTGwKWR6dFc+mgAN7fnMl3e/PQ6Q3Xzcmx3hTWtAgllmB3e56fG8+UOG8kEgltGi3f7cnngy2ZVoPS+orJGmBCtBeDQ9zQ6vQcNxosfrMn12ohZI6no5LpCT48NCVK8CuyV8i5YWQI1w0PZntmJV/tymVnZhUH8moYE+nB7qyuF0nvbcpkUqw3fx4rEUol2ZVd/2xTWGcKiTq8Pjr+FnnGklqIWQdl525D88yHuZi/L1OJm9sM9wm4MMWmcBEGH/MG+PPLwULAEMWDwfveJA4C62Cku8yHxsyorMb4HNNNP9moAA/3chSmMX66LZuyBpXR9XRor3r0a5vVXPX53h7fbCa2plcKqVtzHBQyXpyfyIKB/hbBjq+LLY9Mi+b+yZFsTCnn+7357M2pFt6IAa52DAxypai2ldJ6ldBCHOBqR1VTm4VQV63V8cXOXFYcLWbRjFguHxKIVCphdj8/JsV48+n2bN43TvU9HdLKGolavI43L+tvNR9HROTfwomiOpas6hgxH+phz3Nz45kc693nDOjRglou/WSPxbZLBwXwzpUDaFBpeG5lEt/vswxKfJ1teWm+wRb9z2MlLF2TKtz8Lhngz+LZcezJrmLauzuE7aPCPVDaSFlzshS93mAcdv9kw4RaWxsZer2eVcdLeHN92hnPWxluHDQ3Ld6H7RmV/N/f6WR3MauqJ6qa2vhpfwE/7Tdo8C4fEsilgwIYHeGBVCphUow3k2K8eXr5CX4+UEhScQNeTkqLRZWJtLJGLh8SyJ/HSoTrfV53HTpG7yjTv7GrzEeu0R8p3LOjbGPe6SKRYDG9d/lpOkvvza6mXasn2N2eUM9TD0U9H1x8wcfAjuDDZPBVUN2Cj7OtEHQYdB/CudStSMqUwpTLpNQan+NhDD5SjO6A8X6GcoFOp+fvZIM6/KlZsRaTDrvj+715PPdncp9/x840q7U8/vtxHv/9OGAwP3tserQgcLWRSZndz4/Z/fzIqmjkh30FgsNgcV0rIR72RHi5k1/dQlmDitqWdhRyKQ4KGSqNziKVW9WkZtGyE/ywP58XLklgSIgbdgoZj0yL5vIhgbz8V4qgkj8dFi07waJlJ9j79GT8XHoesS0icqFQ1dTG/61P57fDheiNmYQHJkdx69jQPgvNVe1apry93WqRtP+ZKXg7KVl1vIQXV6dYXbfuGh/Og1OiKK1v5Zov9gnjHcK9HHh5fiLuDgoe+PmIIDQP8bAnytuJA7nVNBgzGfMH+vPUrFjhvXcgt4ZX1qZy3Kw80Fe8nZRcNiSQkeEefL07V7hOnS3+OFzEH4eLGBflyVc3DxOyp0vmJZBS0sDxonqrWSrmSCUS5FKJEHzkVjULTqbmCJkP42ZTl09LW0fwYQpczGeFmbub+jnbWugzVO2GBZ6nY++zHtCh9xgffeF2Dl50wceIsA6L2ZTSBqEMY95ZUVzbio1UKoiCujL9gg4xkFwqEd7obp2CjwSjp8eJ4nrKGlQ4KGQW7n5d0dxmGMb2T/H5jhw+32EQwl49LIhn58YLv3+ktxNL5iXw6PRovtmdxxc7c8ivbiG/uoVwLwcmRHuRVdFEcV0ragyrIIVSSoOq3WKI3Ymiei77zx4WDg7gqZmxeDvbEuRuz+c3DmVLWjnPrUw+o3a7Ua9tYVaiL59cN1j0BhG5YGnXGlyD39uUIZQiLh0UwFOzYoWSQF/4clcuL3caAvfOlQNYODiQnMomrv/tmFUJYXCwK69c2o8QD3s+2JzFf3fmoNHpsbWR8sDkKK4eFsTHW7P5dm8eWp0eOxsZQ0PdKK5tZVOqYaEQ5+fMi/MSGG7suMiubOKNdWmnvZCQSyVMjvVmULAbm1PL+c+2bP6zLfu09tUVno4Kq3kpOzOriFq8jl1PTiLQzR6lXMZ/rh/C3A93UVjTajF+w5yjhXWMDPcQBue1qLVUNrZZGSOarn8mnyjTVald1zGktMg46yXMLBuRa5ZJ6ezxYWJhH8WmOzMvXH8PExdd8GHun7H6eAnhXg4kFTegNHM5LaptJdjDXjgRm9o0Fi51Jsznw9R2KruYjHdMhmJ/JxvmKEyM9e7RKGZ9Uil3/3DklL/H4GBXxkd7YSOTGszH1Dpa2zUWBmTFda3knCJl+cvBQiETtGCgP69c2g8HpRxnWxsenBLFTaND+WpXLl/tMgi1ciqbifZxZHy0F0nF9dQ0q2lt1+JiZ4ONTGL1hl9+pJi/k8p4YEoUt4wxrPImx/ow+jFPPtmaZeUz0BfWJZUR9vRavr11OBMuUFGVyMXLrswqlqzuGEOfGODMkksSGBrat5ZJMKyYJ761zWLbwCBX/rh7FBqdnnc2ZvBBp7KmnY2M5y+J56qhQWxMLef2bw8JAf/UOB9euCSew/m1zHx/p1ByGBDkioSOm5ervQ2PT4/hmuHByKQSqpvajFoQy3JObwnxsOfKoUE0qNr5bHtOr4IXhVzKkGA3EgOccVTa4KCU4aCUY6+Q4aiUY6+Q46CUkV7WyObUCnZkVlpdh8wZ+8ZWdi6aRJC7Pf6udnx4zSBu+HJ/l4EHwK7MSh6YHCUEH2AIGKyCD4ToA+go3wsZ9poWdHpDGdzcs+Wo2VBQc72HeRmoLzNdCmtayK1qRi6VMCriwprnYs5FF3yY83dyOfMH+pNU3GChPi6uayXaxzIKrmtRW51spjScXCqh2pT5sFfQ1KYRollT2cUUfJi6Xrri8x3ZvLo2rcvHbGQGoej0BB+mxfn02o68okHF3pxq9mZXsye72qq335yVx0oEO2STJ4CLnQ2PTIvmljGhfGkMQjLKm8gobyLc0wEfZ1uyK5uEVjofZyUarV74e4Ch7PP6ujR+OVDA85fEMznWB1sbGY9Oj2HBoACe/zPZ4o3dV2766gByqYSjz0/rc5eAiMjZprCmhaVrUoQyq7uDgkUzYrhiaFCf3Um1Oj03fXXA6v1hGgK3I6OS5/5MIr/TrKWFgwJ4Zk4crWott393SBgBEeBqx5J5CQS72xtGGxg7PfxdbPF3tSOppB5Vuw6pxGAZ8Oi0aFztFajatXy6PZf/+zv9tP4mkd6OzOnnx++HCk+5D4nE4JvRL9AFG5kUPxdbNDo9LW1a6lrVlNRpaVZraFFradNoGRTkxtR4Hy4bHMgVQ4No02jZl1PD5tRyNqWUU1KvwkYmYXCwm9DZMu7Nray+fyz9Al0YE+nJ4zNieHN918dV29KOr4vl9TavupkRnQa16c1iD71eT6HxWmvy7RDEph4OQra2UdVORkVHy695+Wf18RLh69gepup2xjRhfXCI2wV9Pbwog48QD3vhzRruaVCXm2c+ciqbmd6pram2pd3qht+R+ejQfLg7KEgzZj18nQ2mNlkVjeRUNqOQSZkU0/UKXa3RdRt43DUhnPsmRQpD6vqCt7Mt8wcGMH+gIXIuqm1hb7YhGNlt1i7Xmanv7ADgzcv7c+XQIFztFTw2PYZbx4Txxc4cYeASGGq2Wp0h4ChvaEMhkxLgakddi1qYYgmQV93Crd8cYlKMF8/NjSfcy5FwL0e+v204a06WsmRVipXyu7dodHr6LdnAPRMjeHJm7GntQ0TkTGhRa/jPtmw+25GDWqNDJpVw46gQHp4S3eXU6lPRVRb00WnRPDglivIGFff/dESYtWIi3MuBpQsSGRrizhc7c/hwSyaqdh02Mgl3jg/nptGhfLY9h7t/OIzWWHqJ9nGirF4ltNOOCHNnybwE4vyc0en0LDtcxKtrUy0WFL0lzs8ZX2clW9MrexScR3g5MDDIDYVcQn1rO2tPlvVqQi3A7qxqPtpqyKBeMSSQqfE+jI30ZEK0F8/OieeRX4+x5mQpB/NqLK79l3y0iyPPTcPdQcGtY8J4b1Nmt7OqsjtlRbqyhReCD4mhDG9yqDVlPkwL0jCvjpLL8cJ6i3K1eeZj+dEOsWlfSsumFtsLPRt8RsHHa6+9xjPPPMNDDz3Ee++9BxgivhdffJHPP/+c2tpaRowYwccff0xCgrUr3Pli/gB/Id3vZ4xoW9RalHIpbRodaq3OKtDoymjMlPmQSKDOuPJ3c7AR5gGYSi7rjSOwx0R6dBuJXvvFvi63PzYtutt5AuUNKu7+4bBF2q47nJRyLhsSyOXGjyuGGizZ08oa+fVgIb8fKrQIFEws+uMEi/44wdz+frx31UDcHBQsmhnLbWPD+HxnDt/tyRemLirkUtTGv19xXStKuRQnpZxmtQZze4Gt6ZXsytph4Wkwt78/E6K9eG9TJl/uyj3l79MdptrxmgfHkuDftyFMIiKng16v568Tpby6NpVSY0v56AgPlsxLsBjp0FtqmtUM7uTZ4WwrZ+/TU7C1kfHtnjxeWZNqNZb9sWnR3DkhnMP5tcx6f4fQJTIq3IOXFySQXNLAnA92Cen8aB9HNFo9J4w3eT8XW56ZHcfc/n5IJBL2ZFWxdE2qUELuC9E+jtS3thtdlbt+jkIuJdjdHgkG9+S+drV0xe+Hi/j9sOGm/eDkSB6ZFs0H1wzCQSnjt0NFVhmitzak8+ql/bC1kTEizF0oN3VmR2YlClmHDrCrjhfzVltThtnX2VYos+dWG4MPM7Hp0QJLF2nzuV+nM66iXasTTCEvZL0HnEHwcfDgQT7//HP69+9vsf3NN9/knXfe4ZtvviE6OpqlS5cybdo00tPTcXLq+xvxn2BqvI8QfDQZTXByKpsZFOwqKMDtOukyaruI+rVGIVFzm0aIXt3sFVadLqb0a3cll+qmNmHVYc7Ts2K5a0KE1fb0skZmvLej51+yE41tGr7Zk2flPHrV0CAenxHDU7NiWXuylJ8PFFjZqgP8daKUv06UYmsjZdeTk/F0VPL0rDjuGBfOZ9uz+W5vvtB6K5EY3oBtGh1txhWgRXiPYdrjZztyWHakmKdmxbJwUABOtjY8N9cwV+LZlSeFdsTTYc4Hu4jwcmDdQ+MvSHc/kf8NUkoaWLI6WShfBLja8dzcOGYk+PZZCK3X63nuzySrkfY/3zGSUREenCiqY/GKJCt78HFRnrw83zBz5allJwVvCE9HBc/OiScxwJnnVnYY/vm52OLlpCS1tIF2rWEOyV3jw7lnYgT2CjlFtS28siaVdcZFU1+I9XUirczakNAc001crdF1q7M4G3ywJYu86hbeuXIAry/sj4NSzte78yye89P+AhbPjsNBKWdspGe3wceRgjpkZv/PvCrr8rXerNW2oFPJxfAaY6eLmdj0qFmXkJu9DTFdBKvdZcu74mhBHU1tGtwdFEKzw4XKaQUfTU1NXHfddXzxxRcsXbpU2K7X63nvvfdYvHgxCxcuBODbb7/Fx8eHn376ibvuuuvsHPUZYr4i3pdTjURimODq7dSR7VDIpUglCCv2ruaVaIy+ICYVu7OtHBuZlKI6Y0nHywG9Xk9yieFi0d3AtCFLN1ltW3JJPDePCbPYtjuriuvMrH7N8XRU4O9qR4CrHX4udvi72uJqryC1tIEVR4u7bRf+9VAhvx4yCE6vHBrIVzcPo7zBMNHx90OFQoudCVW7jqHG41330Dji/JxZPCeeO8aH89GWLH7cX4BWZ5BeKWRStHq9lauiOVVNbTz++3F+2JfPS/MT6B/oSry/M3/cPZo/Dhfx0l8pQoDYV7Irm4l+dh2vXJrIdSNCTmsfIiJdUVDdwjsb0/nzeAl6PdjaSLl3YiR3jg/v8+RRMPgyXNMp+3n5kED+7/L+NLZpeP7PJCuRp6ejkhcuiWd2Pz9+OlDAm+vTaFRpkEjg+hEhPDA5ku/25vPEH8dp1+pRyqUk+DtTXNcqZDsmxXixZF4CIR4OqNq1fLg5k7c3ZvT5+PsHunCiqL5Hy3ITnTM2XRHv58yYSA88HZU4KOU42cpxVMpxUHZ8NgzSrGRHRiV51V1r2VYdL6FR1c5/rh/C88auvg87idzv/+kIX98ynHFRXry2ruvSt1anR2K2humpBCVBIug9grsIPsKMBmN6vd4i8zE8zF1wbTUvP3e+D/SEqeQyNtKzz9b855rTCj7uu+8+5syZw9SpUy2Cj9zcXMrKypg+fbqwTalUMmHCBPbs2dNl8NHW1kZbW8cfuqHh9Cej9hZz0deGlHKC3O0orDGUCUxUNLYR6uEg1PZ6KruojBMRTX3dpr59jVZPm0YnBDDOdtYll/Qu3qzXjgi2OuG6msmwYKA//3fFAKHjZWdmFRuSyzmQV41cKkUhl6KUSxkY5IpCZvheo9ORX91CQXWLlfXxb4eKhGFSd44PZ9dTk9maVsHPBwqEjJA5s97fCcCWxyYQ7uXIS/MTuXFUKK+uTWVLWgVqrSHrYa+Q0dbJD6QzxwrrmP/xbm4YGcJj02NwsbPhymEGs6E3/07j5wOF3b72VCxekcTiFUnsfmqyUH8VETkdKhpUfLAlk18OFArv/7n9/XhqViyBbl23SfZEbbOaIUs30vmtcWDxFLwcu/fsuHVMGI9MiyK/uoWFn+wW9BH9AlxYuiCRmmY1l326R3BejvV1QiKRCNlEPxdbXrgkgRkJBm3bppRynl2ZRFlD35yIBwS6cLyoXghmThc7GxlXDw9idIQnw8PcceniWtmZME8HwXK8oLqFHZmV/Hms2CpzuzW9khu+3M9XNw/jkanRrDxWLPxdTI/r9XpifZ26bNE1ITVbjTrbWd86TZlfmVQiZD5MwUerWiu4PIcZdYZ51S0Wi9qRZgLWr8xKz6P70LGy4wKeYtuZPgcfv/zyC0eOHOHgwYNWj5WVGdJ0Pj6WYk0fHx/y87tuzXrttdd48cUX+3oYZ8yUWG9hIm24p6Mh+DATnRbWtBDp7SgEH13V+EwhjKtRTFbdpEZn7JMHaG3X0tbeEeXbdmEm1FX55PpOq/Sf9hdYBB4PTI7k0WnRVDerWXGkmA0pZezMrLJwHO0Nno4KBge7kVXRZCWgMvcCeWZ2LK9c2o/Pt+cIWRJzJr+9HYA9T00m0tuRr24exs7MSl5Zk0paWaOgp7G3kfU460Gvh+/25rP2ZCmL58SxYGAAbg4KXlvYn8uHBPHsyiRST6P+bGLM61uYGufDFzcOEb1BRPpEfUs7n+7I5uvduYLx0/hoLxbNiBFmmvQFnU7P438cZ/mRYovtH107iLn9/cmtaubRX627XAYHu/LygkSC3O156+90wRbdSSnn8RkxTInzZulfqaw3dtd5OioJdLMjvayR1nYtcqmE28aF8eDkKByUcnKrmnlpdXKXzsg9EeBqR3Fda69FoV0xb4A/0xN8GBnuIUzAPV2CPey53iOEa4YH8+LqZKss0cG8Wq77736W3zOaq4cFW3Xc7M+tYWS4B2MjPYWOv87IpRJMYUnn4Eit0QnZjhAPeyG4MQUf+TWG66uzrRw34/2is97DPPj4xMzzpLcjJWqa1UJJbnw3WfYLiT4FH4WFhTz00ENs2LABW9vuWz2tnN+6cIMz8fTTT/Poo48K3zc0NBAU9M/bZ981IUIIPpxsDX8G89XH+qQyLhsSIPShH+vCwS/QzbCKbjWqmtVaHTUtaiHt2tquRaUxZEWkEkO77KkYEOhiITrKLG/kmRUnhe8zls5CIZfy/b58XlyVLKy+wBBxO9vKBbX1qahqUlv02ZsEt515dW0ar65NY2CQK2sfHMeP+/P5cX+B1fNGv74FgCPPTWNclBdrHvTkt0OFvL0hnaomNW0aHXY2MtTanrMgVU1qHvn1OL8cKGTpgkSifJwYEuLG6vvH8N3efF7qZLLUFzallhP29Fq+unkok2P7NqhJ5OKjRa3h6915fLY9WyhBDg52ZdHMWIubRV/oavLsrERfPrp2MO1aHe9uzLDqDHFQGDw7rhgSxOoTJdz89UFBODpvgMF1dM2JUqa/u4MWtRaZVEKivzNVTWrh2jU81J2XFyQS4+tEi1rDm+vTLG5yvcHJVk6jSnPaBoEjwty5fVw4k2K8rOZatWm0pJY2UtnYRm2zmupmNdVNbdS0qFG1axke6s7lQ4MsDCE7I5NKeNHYSrx0TarFYyeK6tmcVsEVQwN5d2OGxbXzqWUn2PbEJMZFeXUbfJhrPjoHH/nVzWh0ehwUMvxcbM00H4Z7REfJpaPN1rxRwNVM76EzO67Z/bq3ZujMzsxK9HpDlqu3Vgznkz4FH4cPH6aiooIhQ4YI27RaLTt27OCjjz4iPd0QTZaVleHn5yc8p6KiwiobYkKpVKJUnlnUezoMDXETvk4yRotH8mtxUsppbNNQ1qCySKNmVTbRqGq36FYJNw6BKqptxdPRMBugrF6FncLwpmpRa4WSjK2NzCoA66qt66phwcLXrWot097tyIzsenISNjKJxcUp2N1eONG1On2X2pTecqrMybHCOmZ/sBOFTMpPt49gQ0q5lYAVEJT6J5dM55rhwczt78d/tmXz3125tLZbd9R0x/7cGma9v5Pbx4Xz4JRI7BVybh0bxpz+fixdk2rRB99Xbv3mEADHn59+Wm2QIv/bqDU6fj1YwAdbsoSbfIyPE4/PiGFqXN/nsACU1LUKAbo5BxdPxctJyc7MSp5dae3ZcdXQIJ6cFUtdi5obzTw/wj0deGl+IrY2Um795qCgtwjzdMDORiZkJTwcFDwzO46Fgw3t9n+dKOGpZSdPS0t1ugPjHp0WzZVDgyz8MorrWvl8e7bVULzuWHuyjCWrDQuPAYEuLJ4Tz7BQN6v/hUQi4fZx4QS62VsFec+uTOLg4qnMSPBlzcmObHJedQt6vZ4BQa7d/nyZ2eLRtVPwYRLORno70q7VU1pvCM5MgtNco0DVUmxqpvcI7dB7mLpVAB6bHtPt8XRmR4bhvLjQW2xN9Cn4mDJlCidPnrTYdssttxAbG8uTTz5JeHg4vr6+bNy4kUGDBgGgVqvZvn07b7zxxtk76rOAuRjHJFZKK2tkXFSH4rmhteNGrtfDyeJ6Rkd0pLNMFrn51S1E+TgKwYdpmqGqXSukaLsSoR3oNMrZXiFj3kB/4fu459cLX39y3WD8XOws1PCz+/mSWnpqgdfZRq3Vca1R+PrWFQNIL2vgi53W7bH9lmzA3UHBnqcms2hmLNcMD+bNv9P7FDRodHo+3Z7N6uMlPH9JPNPjffBxtuXDawZx1dAgnl15sluxWW8Y8NIGbhsbxnNz4097HyL/O2h1elYdL+bdjZkWq9dHp0Uzb0BAn03CADRaHTd/fdCqhGJy5q1oUPHAz0et3hexvk68cmkiCf4ufLI1i0+356DWGpyW758UyVXDgnhnQ4ZQCnW2lRPq6UBuZTONbQbh6bXDg1k0IxYXexsyyht54c+Orpd/msHBrjwyLZoxEQbxY3FdK4/+eozlR4tP/eJTcLyonis/2wvAg1OiuhxxPzPRlzcv78+iP04I2yob28gsb+TaEcEWwQdAQ6vGQvfXmZ4yH5lC8OFESV0rOqMI2ctYTsqtMjxuume0qDUW127zLJq5fX5vpxzr9Xp2/ov0HtDH4MPJyYnExESLbQ4ODnh4eAjbH374YV599VWioqKIiori1Vdfxd7enmuvvfbsHfVZwtzLP8HfmeSSBotyRVVTm8WAueOFlsGHv6ud4G1hypSVNqg6yi7mmY8uTuq/TlhebOb29xNSilvTK4Tt8wf6MyXOmwd/Psqak6VIJDAs1J21J/veCne2MQ2BundiBHqwms9Q06wm9rn1DAhyZdndo/jwmkHcPDqUl/9K6bKU1R3Fda3c9f1hpsR6s2ReAkHu9oyN8uTvR8bzxY4c3trQd4W+iS935fLlrlz+uHvUaVlfi/z70ev1bE6t4K0N6UIGwdNRyYNTIrl6WPBpt2v/tL/AomwKcNOoEJbMS0Cr0/PtnjyWrE7u3InOs3PiuHl0KLuyqpj+7g4hEJoQ7cWL8xI4kFvDzPd2CJnOeD9nGtvaBeFnYoAzSxf0Y2CQKw2qdl5ancJXu0/fP6cvPD49mquHB+PpqKS5TcNjvx+3GA3fFSPD3bl7QgRDQ91xUFhnicFwPf31YAEvr0m1KNt+sDmTDcllrHtonNXrFgwM4M316RbdI1/vyWPp/ERCPewtFi551c14OnWfhTcPPLsLPqJ8HC3EpqbjMT1uCj5OFtVb/A4jwjuuO+nlhvPPJAfoDenljVQ0tglzef4NnHWH00WLFtHa2sq9994rmIxt2LDhgvH4MOfuCRHCzXNoiJtV8HG8sJ5g9w5HvM6TG2VSCaEe9mSUN9GqNqQjy+pbcVQaTszWdrPgQ2Gd+TDNVDExu19HqerhX44JX7931UDe2ZjBmpOlSCXg7WRrlTU535hqx3P7+xHm6WDVzna8sI7Ixeu4f1Ikj8+IYcW9o1l9opQ31qX1qX68Oa2CXVlVPDA5kjvGh6OUy7h/chTzBwbwwqpkwUb6dLj8072CmZNDD3Vlkf8t9uVU839/p3PY6LXjZCvn7gkR3DImVMhi9pWsikbBJdiEi50Nu56chJOtDQfzanj+z2QrAfWc/n48N8eQhXvwl6PCAsPX2ZYXLoknzMuBx38/LvgC+bvY4mKvILWsAb3ecOxPzIjhuhEhSCWw7HARz65M6lO583R547J+XDooEBuZhGVHinucTjs93of7JkX2WObojJ1Cxs1jwoROwIzyRqYby9JpZY2EPb2W9KUzLaYEK+RSbh8XxutmLbQ/7S/gqVmxDA11twg+/jpRwm1jw7v9+eYakc6di0LZxcuRwlrLTpemNg0njUHh4GBDYGDu7+FiZ0Ocr0HnZ37/eXFe7405TS22I8Pd+zwl+XxxxlfYbdu2WXwvkUhYsmQJS5YsOdNd/+PM6ecnvEFMDqXm/dsH8moYF+XZEXwU1VntI8zTgYzyJlqM7qCl9Sr6Bxii51a1FpVRR9FVp0tnzEfEm2alxPo6oWrXCertCC9HIYoGQ8amvrWdotrTnxB7NjHZPV85NBClXMb3+yzruR9tzeKjrVn8cNsIg9o93odPtmXz6fbsbq2NO9Om0fHWhgyWHynmpfmJjI3yJMjdni9vGsrGlHIWr0yyGMrUFxpUhonCok37/z5JxfX839/pwiwMWxspN48O4+4J4bja922EuQlVu5a5H+6yMs9aed8YBga5UtGg4vk/k60yAcHu9ixdkMjoCA++2ZPHuxszaDYKR28ZHcqd48P5765c7v/5KFqdHnuFjDBPB4rrWikxBjCXDgrg6dmxeDvZklXRyOIVScIsk3+Sd68awCX9/cmrbmH6u9u7LYP+57rBzEzsu/lad0T7OJH1yiz6v7hBuP7GPLueQ89OteieuXZEMB9tybLQuCw/XGQx3A0MZXVpDwku88DAPPOh1enJruzIfBzMN/zNTXqPg7k1aHR6gtzthG3d+Xt8srVj0Ta3f0cJ/lSY9B7/lpILXKSzXUzYmWUj9mRXCyUUc8xP2NJ6FeUNKotR2Iae7XJhZVHeoMLOOHa6tV1Lq9okOD112tbD0XDBM79wvXJpIsuPFlHf2o6zrdxKjJZf3dKtcMzZVk6YlyMh7vaEeNgT7G5PoJs9zW0aimpbKK5rpai2lcLaltOy8u0Jk1/IDSNDKGtQsbHT9MrrvzRoRg4unsqj06K5bHAAS1b1reUvp6qZ67/czyUD/Hl2Thw+zrZMT/BlbJQnH27JOqMR3SabdtNNQ+R/h5zKJt7emCG0r8ulEq4eHsSDk6POqEvgoy2ZVuW/x6dHc//kKNq1Or7YkcMb69MsVtAAj0yN5q4J4SSXNDD3w11C2WdwsCtLF/SjoKaF+R/vFqzbY3ycaNfqSDY6KUd4OfDygkRGR3jSqtaeVhfL6fDJdYOZmeDLt3vziFy8rsvn3Dw6lKdnx/5jq3G5TErKSzN5+JejQpfK0KWbyHt9jvAcZ1sbrh4WxH/NvDM2pVYwKdbbYl9Fta3Ie4o+zDAPPgprWoSp54Fu9mQa3V1DjIHGbqPWZ4yxZK/X6y3cm0eEdZRczI+xt6W+VrWWA3mGgEcMPv5FmExlKhvbGBPpwe4sSzFW55bV44V1TDezSQ831vBM5ZXSekvNh8nxv3NnaWunOSoSicGaHWDJqmRh+6AgN0Ew1a7VW7kDdhV4+LnYsmhmDPMHBFi53Bn0KXqkEglSCYbPxufUt7azO6uKrWkVrDpe0mffkK4wZT5uHBXC0YI6K2voYa9swttJyZ6nJvPVzcPYlFrBi6uT+5TJWX28hG1pFTw+I4brR4Zgr5Dz5EyDZftzfyZ1aZDWWxZ8vBsvJyXbn5h42il4kQuD0vpWPticyW+HigyOlRJDm+qj06IJMZu30VeOFtRy6Sd7LLbF+Dix6oExKOUydmVWsWR1slU2ZEK0Fy/NT8DZ1oYlq5KFMqyrvQ1PzYxldIQnS1Z3lBK9nZT4utiSVtqIWqtDKZfy4JQo7hgXjkIuZUtaOYv+ONHjOPmzwX9vHMrkWG9eW5fKvT8esXo8wsuB/940TNA3mFPf0s7xojrKGlSU16sMnxvaKG8wLOxkUgkRXo5EeDkQ6e1IhJcjkT6OFu7TXfHe1YPwdFQKN+9dmVUWjtK3jA2zuLHvyqriiqGBFvsoqm21EJX2hHnwYfq/msShB43ZpiEhhqBit7F7ZXSk4XiK61otMrMmsal5i+2lgwJ6dRxgCG7UGh0BrnbC/ejfwEV/NX1ubjwPGfUVif4uVsFHe6cb8PGiTsGHcUJhu9Fq3bzbpVmtIcDVEP12vpnqOinM3OwVgqDJXBW/I7NSGLh0qrqtvULGPRMiuH1cuEVWJ6eyiU2p5WxKqeBQfo1VIAQd+pUBQa4MDHLlupEhaHU6dmZW8eP+gtMuY5gwlY2uGR7EhuRyi/JWRWMbkYvXcd+kCJ6YEcu4KM8+l2Ia2zS8sCqZZUeKePXSfiQGuBDl48TPd4xk5bFiFq9IElKzfaWysY345//mrvHhPDUrVjQo+5dR26zmk21ZfLs3XzifpsR68/iMGOL8Tn/+RaOqndGvb7FqP9306AQivR0prmvllTUpVsJwH2clSy5JYEaCL38cKeL1dWnCIueKIYE8PiOGPw4XMf297cJE2ng/Z8oaVIKgdGKMFy/NSyTYw57S+laWrEoWZkj9U3x363BGRXjw8K/HuP27Q1aPv3FZP64cGmTx/tBodRwvqmN7RhU7Mys5XljX5fXHnNJ6lVVn0PR4H56dE0+wR/cusovnxAkBxvVf7rfIfnTlbNy57AL0WHYxx7w9XxCbejuSUtJAY5sGJ6WceH9naprVgq5nlDHIMPf3cLaVC+egqfwH8PiM3rfY/mnskjqdeULnk4s++Jjb318IPo520X1RUq/Cx1kpjJ4/Xmi5cu8c3beotTgbVcq5Vc2CyUxVUxstao0QmHQeXOfhYMh6qMwCjBfnJfBVp0FIYFDhdx49H+Bqx7J7Rgt99PWt7Xy2PZu/k8t6NS3SULdsJruy2cJ1cWCQK3P6+RHja0j1vrDKWpnfF0w26QsG+luZ+Xy8NZuPt2bzy50jeXRaNAsHBbBkdTLb+lCKOVFUz7yPdnHjqFAemx6Nk60Nlw4KZHKsD29vSLdyPuwLn+3I4bMdOfx0xwiLrieRC5O6FjXf7Mnjy525grPu8FB3Fs2MOaOuJp1Oz5PLTgjTU028vrAfVw8PRtWu7bIEA4ausPsmRVJU28pVn+8VrMCjfRx55dJ+tGt1XPvFPuE9G+HlgELe4dlhClxmJvqi1en5784cKzOts83nNwxhdKQnN311gBu/OmD1+LJ7RjPEzDeppK6V7RmGmSu7s6qs5kOFeTogl0pQ2kjxd7ETZlL5u9qh1etpVLVTUN1CdmUTWRVN5Ne0sCGlnG0ZlRYD8DojkUh4YkaM4F56pKBWEHiCITgw18u5O1jrenrbSu3h0BG4ZFYYymSR3o7CRPPhYe7IpBL2GrMeMT5OQrBjHnyYngfw4uqOjHdvx0A0qtrZYHSz7Uu25ELgog8+zE+2A7k1uNrbUNfJqMvVTtERfBTVodPphVKFu4MCZ1u5xRvMQSnHRiahUaWhUaXBxc6G+tZ2CmtaifE1dP10LoeY9B7mHTULBhpuvp2pbrYMPKQSeP/qgULgkV/dzK3fHDwrI6qPFdZZtMRePSyIcC8HMsubrC6+fcEUeMwb4M+qTv4GV39uGLB15LlpfH3zMDamlPPi6pRed8Xo9PDNnjzWJZXywiUJzEr0xcXOhpfmJ3LFkCCeWXHSqvzTF679wqBXOfrcNNy6uICJnF+K61r5784cfj1YKGS74v2ceWJmDBOjvc5odfjzgQKeXm7ZOjsuypNvbhmOTCphS1o5S1alCO2WJibFePH8JQl4Oyn5YHMmX+7KRWMcxfDwVEO31hvr0wQhqruDghAPg36gqU2DVAI3jzbMc3GyteFwfi1PLTthcTM927w8P4EZib5c+vGeLt97mx+bIJQa1BodG1PK+flAgVXWwoS7gwI3extqmtVCi3BXWjMnWznT4n24dkQwYyO9yK9uZsnqZHZnVfPhliyWHS7itcv6d2mmde/ECCH4WPjJHovsR7iXwyn/XtJenBveTkqLrEm2WebjD+M10VRK2Z1t+FuMjuzw8diT3fH3Mff3MAl1+2I1/3dyOW0aHRFeDiQGXNhTbDtz0QcfAJcM8BcMfkZHeFilSc1nvjSqNORWNwtvOolEQpiXo0XQUFTbSqS3E6mlDaSWNhDsbs/J4nryq5uF4KMzpkjafLBTVXNbl1mGztsemhItrOQO5NZw1/eHzsjptCfM24OvHBqIRqe3mk/RF1YdL8HPxZZYXycrsenglzcyMtydn+8YybgoL/6zrcNoqTeUN7Rx749HmBTjxUvzDfMw+gW6sPK+Mfx8oIBnVyad9nEDDHp5I/MG+PP+1QP/VenO/1XSyhr4bHsOq46XCB4KcX7O3Dsxgjn9/M5oyufBvBqu+HSv1fb9z0zBx9mW/OpmXlqdIoxsMBHsbs8Ll8QzOdabv5PLue6LfcKAsenxPjw3N55tGZVMf3c7DcaJtAMCXalrUQsr5AGBLrxiLCXWtah5evlJfj5gPd7gbHHHuDDuGBfOFZ/t5bk/LRc/Ps5KVt8/VhDm5lQ28evBQv44XNTjpFcw6Od6M/ahUaVh+ZFilh8pxslWzvR4X5Yu6Ed6WQMv/5VKcV0rd39/mDUPjhVcpk1IJBLunRghCG6rmtqEm3nnwX+tasOsG3MBcG8cXPsHdszy0ev1guYjzMtBsEAYZRwGt6eT2LSgusVi8q8p+DDPZPelxXalMVi9dFDAv+4aJAYfwKIZMULwIeui6GcSZ5rO0eOFdRbOc+GeDhbBx+H8GuL8TMFHoxB8dF4NmWMaTmeedSnpxUp/eKg790+OBAwn4qI/TvR4c3axs2FslCfjIj1xtVegatcKq0M9elrVWlJKGjhaWEduF8P0zDF1tPg4K4n2cSKvutliWmRvKa1XUVqvYlyUJyeL6y3+Bvtyagh7ei2f3zCER6fHsHBwYJ9LMVvTK5n27nZBnGcjk3L9yBBmJvry2to0lh05/QzOquMlrDpewsfXDmZOf79Tv0DkrKLX69mfW8On27MtzonRER7cPSGCcVGeZ3RR7s4S/Zc7RzIy3INWtZa3N6Rb+dqAodPl9nHhVDa2cdu3hwThaKCbHS/OS8DH2Zb7fzoilFRCPexxc1AIuggnWzmLZsZy7fBgwbPjqeUnBH3Z2WZ8tBevL+zHsyuTGP7qZovHBgS58sNtw3GytaFNo+XPY8XdTrs+mzSqNCw7UsTmtHK+vGkomx+bwK3fHGRPdjUP/3qMZfeMthq89vj0GCH4+Gl/AQ9OiQI6ZnGZKG9oQymXojHTgp3qmgfQL8BV+Lq0XkWzMYhpbtMY9B5GHUdxXSt51S1IJTDcaCL2d3LHwtbJTO/x3qaOEt2sxN7NcylvUAmZlfkD/10lFxCDD6CjHxtgW7q1SdWxwjr6B7oIYq9jhXUsHNyhlI7wstR9HMqvZU4/P5ZTTEppvTBCubCH4MMUcde2dKwMinvR8fH8JfHIpBIyyxt59LdjXYq5FHIpd4wLY0qcD/0CXEgrbeS3Q4X8fKDAqu2vK3yclbjY2ZBR3nXK0qBWN0TuU+O8qWxSWxmy9QaTrf30eB+LgXcAd35vmNFw/IXpfH3zMP5OLmfJquRejwBXtet4c306K48W88ql/RgW6o6no5K3rxzAlUMDeXr5SavJvn3hvp+OcN9Phvk7pzNaXaRvaHV6NiSX8emOHOFck0pgVj8/7hofTv9A1zPaf6tay6Wf7LZYpYKhFHHDqFD0ej3rTpby0l8pQgusiTn9/HhmThxejkq+2JnDh1syBeHoHePCuXlMKJ9szea7vXnCRNo4P2dyqpqE1Pv8gf4snhNn9OxoYvGKk/+YZ4eTrZxl94zmj8NFVoFWYoAzv981GjuFjJpmNW/9nc6P+/P/scxqZ4Ld7dFodZTUq7j2i/18cM0g3r5yADPf28mJonre25TBEzMs/XjMM1yb0yrMgg/L92VedTPNnUToJhv0njDPfBwx+nVEejsKJnUjjDoOU9ajf6ArzsaZYBtSOoKP4aEdeg/TyIzOx98Tq46VoNfDsFA3i3vYvwUx+DBiZyOjtV1Lo0pjMazNhIdZbb/zjXVYJ/FaUnE9DxizEamljUyMMfST95T5KDfeRPuS+fB2UpJgnID7/ubMLgMPfxdb/nP9EGL9nHhnQwYLO7UE9gbz4OJUbEo1BG+R3o7IpRKri3dvMAUe5nN2TAx4cQMzE3z5z/WDGRvlyTsbMvhmT+4pFfQmMsqbuOLTvVw1NIinZsXi5qBgRLgHfz8ynq935/Lq2rRT76QHxr6xlQR/Z1bcO+a0LblFukfVrmX5kWK+2JkjrFKVcilXDA3k9rHhFoO7TgedTs/ilScFYbSJy4cE8uZl/ZFKJWRVNLJkVYqVtiHax5EllyQwOtKTPdlV3PjlfkF3NTLcnZfnJ5Ja1sicD3YJ3WMDglxpa+/waQjzdOBlo3Geql3LOxsz+KDThNuzyU93jCC/ukVwCjVhr5Cxc9EkPByVVDSoeGdjOj/sKzgnTqnmFNS0YEpctWl03PPDYV6an8hrC/tx749H+GRbNuOjvBjRzYRh82t158xHbidNnJOtvFcLkH5mwcdOo7nXmEhPIQtkKqWYBsSNMeo9KhvbBGda8+fpzero1wzv/UR3kz5owb9MaGpCDD6MLJ4TJ2gAIr0N/vwKmVQoYZib5CSVNNCq1grtrIOC3YTgBYx+HMaWvoKaFsG/I7+H4MN0MTLPfBSdIvgYbxTPZZQ3Wg1JAkPq+cNrBtGi1hLz7Pou9vDPYaqD2tnIsLWRntZKaWdmFe4OCuxsZBaCt/XJZYQ9vZZf7xzJ85fEs3BwAM+sOClkpnrDr4cK2ZhazjOz47hscAA2Mil3jo9gbn9/Xv4rhXVJpz83J7mkgehn1/HA5Mg+TaUU6Z761nZ+2JfP17vzhPq4i50NN44K4abRoX0S6XVHV2LSSG9HVt0/BnuFnNpmNe9vzrSa5CyXSnh6dhw3jgqhqqmN+346IhiYeToqWDwnjgGBrjz/Z7IQsAS42hHoZsfRwjqDQZVMyr2TIrh7QgS2NjL2Zlfz5LITPS5YzoSX5xvmI5nE0+aYhKTFda08/2cSvxws7HXLe08EudvRP8AVJ1s5Dko5DgoZ9ko5eVXNVqMmzDHXuOn0hsm0fz0wliuGBPL74SL+7+90/rhntMVrzOd2meg83LNz1ndwsJtVQNKZAFc74VwzH+Y2OsKDX42/w8hwD/R6vWAuZuqM25RabvG7jIs2bDcvxTw6rXfXi/SyRlJKG7CRSZjT799Z7hWDDyOX9PcXgo9042pdLpNgyspVNKpwUsppbNOg1RlOOpPfh0IuZViYu+CvD4abr5+LLaX1KlrbDSWVoppWi04ZcyqE4KP3mQ+Tm937mzOtRKgDg1z57tbhbEmrEEoW54PWdu0ZrZZMAjXT4D9zrjJ2xaS8NIMV947h+715vLUho9ejwmua1Tz++3F+P1TIK5f2I9LbEX9XO/5z/RC2plfw5B8nhP/L6fDhliw+3GKwkjc3PBLpPWX1Kr7clcNP+wuEFLm/iy23jQvn6mFBZ2UGz6G8Gi7vQkxqKqGpNTq+3JXLOxvSrdL0VwwJZNHMWFzsbAwlls1ZtLZrkUrguhEhPDA5kh/2F/DkHyeFibRDgt0orG0RyihjIz15eUEiYZ4O1DareW5l0hl1kvXEzARf7pkYwfyPd1s99vMdIxkV4UFuVTOL/jjO8iPFvSrLdsed48O5cmgQEV4Op9TdvH5Zf/R6PenljTyz/KSFA6gJG5mEAFc78qpb+HhrFs/Ojef3w0UcKailvqXdwntjSpy3VfBR12IpdtV3umgOCXE75cTtfgEdWY/symZK6lUoZFIclHKa2jSCb0d2ZTMVjW2G/7exDdk8yIjwciDGx9B8sGRVxxTbrrxHumLlMUPWY1KM92mPAjjfiMGHEfMTt7iuFYkEC1OqIwV1TIv3EWzCN6aUW5iNjY30sAg+DubVEufnTGm9irqWduRSCWqtjvJGlcUMFxNNbRqa2zTUm71BOteSOzMu0tOQ9ThhnfVYPCeOdUllPPDz0W5fH+Bqx7BQN4aGuhs1EAphGF6L2mANX9Os5lhRHUfz64TU8JnSWWHeG0yBx8hwdyuRW/zzf3Pz6FCWzEtgZqIfL/2V3KeJv/tza5j1/g7unmDwYLC1kTEpxpsdiybxn23ZvH+GaW+Tlfy+p6cI7dAiPZNZ3shnO3L481ixILCM8XHirgnhXDLA30pkeDqU1rcy6rXuxaR6vZ5NKeW8ujbVKh3fP9CFJfMSGBzsxo6MSpasShaeMyTEjRfnJVDdrOaKz/YKIxESA5xRyKTCSHtPRyXPXxLPJUah8oqjRTy57ORZyTJ0xZ/3jWHRHyesAo+3rhjA5UMCya5s4qFfjrL6eEmvy5jmDAt1450rB562/kAikRDr68zye8ewL6daaLk30a7VC5qY9cllPDotmggvB7Irm9mTXcUsswzAlFgfPtueAxhKdbY2MisLBW2n4GNgkCsfdSEcNsei5GLMegwLcxPKO8PDPAx6D6MQdGiIG7Y2MhpV7ewxM7Cc099fCMhMurXeenvodHr+NOty+bciBh9m3D0hgk+3G1TSYZ4O5FQ242ZvI2QjHM1WWZvTKtDq9IJgqLPp1JGCWq4fGcKWtAoyyhsJcLMjv7qF/OqWLoMPMGQ/zFcIPV1g4/2ccXNQWA1uA4NgM87PucvWQDCkJN+6YgADg1yFVrHkkgZSShtIKWkgrawBtUaHi70NLnaGDw9HBdcMD0IplyGTSiitb+3TDd6cM1lN7cupwd3B4AZr7rr6zZ48vtmTx4ZHxvPJdUPYklbOcyuTe+0N0q7V8+GWLFYdL+Hl+YmMj/bC1kbGI9OiWTAogOf/TLLSn/SVka9tZlioGz/ePlLUg3TDwbwaPtueLWiHwGDEdM+ECCbGnJlHhwlVu5YFH3cvJgVILW1g6ZoUK8djFzsbnp4Vy5VDgyiua+Wu7w8JzqKejkqenhXL6EgPlv6VKpRCvZ0M3WAniuqEdtobRobw2PQYXOxsyK9u5tmVZ35+dcdbVwygrL7VKui4e0IET86MoapJzbNGnYu2j+9NT0cFX908rEuBr06np7ZFTUWjwT69XWscruZmf8qM1chwD5JfnEHCC393+bheb5ikPT7ai+zKZnZkVloEH4OCO44nuaSBISFu1LVaZj46/64SCads4+9vEXwY/l/jorwEc7GRxq4WYZ6L0VJ9W3qlxb5NAWeFmWD+pfm9a7E9kFdDSb0KJ1u51XyafxNi8GHGvZM6go8cY+3PUCc0BB+mSbNgSNkfzq9luHEoULyfs0Wg0qjSIDcGJiklDYR5OpBf3UJqaYMgNFo4KIDlZtMtKxpURHg5CqZerp3GNpvjb4ySM8otL6AyqYRFM2NZ9If1OGuJBG4dE8YTM2KwtZFxrLCOF1Yld9uZ0qDSUEjXN28/F1umxfvQYJyo29ub/NnAVIoZHuYu9NWbmP7uDtwdFBxaPJWNj3rw/uZM/rszt9cX1fzqFm786gBz+/vx/Nx4vJ1tCfN04Ltbh7MuqYynlp2wcmzsCwfzaol+dh33TozgiRkx/7re/H8CrU7P5tRyPtuRI3QMSCSGIPquCREWLpVngl6v55kVSVYeGVcMCeQNo5i0qqmNtzdkdOmjceOoEB6bFoPSRspHW7P4eGsWbRodMqmEm0aF8uCUSJYdKWbq29uFibQjwtypamoTtB4J/s68emk/BgS50q7V8fHWLMEU62yzYKA/lw8JEjJvJqK8HfnrwbFotHo+2JzF5zuyrcpJp+KLG4cyNc5bOH9V7VqO5NeyLaOS7/bmoWo/dfYmzs+ZaXHe3Do2rMvSgYNSTupLM4l7vmu92qrjJSy5JB4wTHXV6/XC8ZjPaDGVYTtnPjqXqs2v793R39hmq9bohIBjdISHkDEZGe6BVqcXsrMmvw/zkkuMjxNRppKLmYnk5F4GEiZvj9mJflY6ln8TYvBhhqkdyhxz/cCWtAqLTpiNKWVC8CGVShjVyaDM9Nr08kbumxjJtvRK9ufUcMuYMACuGBpkEXyUN7YxOsJD8J3oqZZnMj7raliVXCrpMivx8bWDmd3Pj+qmNl74M5lfD3Uv8joVJm8OE272NijlMupa1b268JwNTIHHgEAXwSsBDMFJ+DNr+eS6wTw9K44FAw2C1KNd1JG7468TpWxPr2TRzBiuHRGCTCphdj8/xkd78f6mDL7YmXvqnfTAJ9uy+WRbNp/dMIQZCb3r6/9fo6i2hd8OFfH7oULhXFLIpCwcHMAd48MtvHTOBL1ez+c7cnhtnWUnU4SXA6sfGIu9Qk6bRsvXO/N4b1OG1fk7IdqLZ+fEEeXjxOZUg9uu6RowIsydl+Yn0qzWcO0X+0kxzvGI8XHC00nBvpwatDo9jko5j02P5oaRIchlUg7n1/LkshNW79+zxYp7R3PjlwesRhhsenQCoR72/HaoiHc3ZfRpZpOno4K1D47D29kWnU7PiaJ6Vh0v4ctdp/deMJkwfrAli/smRXD72HArx2A7hYwPrxnUZflYq9PTZhTrFte1kl3ZTKS34ZxRaTqCKW+jjqKz6L1FbbmIONXfIsTDXijPHymopUWtxdNRgVanp6nN4GQd72fQptW3tuOklNM/wIU2jdbCg8bcD8j8Ot2bhYiqXStk1P6tXS4mxOCjEzeOChHmf5hs0WVSibBytjcb2LYxxdAtYTppxkR6WpxMlY1tQheMj9ERcH9utSA6NR+lDIbMx2yz1GF7DylApVyKRqsju9Ly4tUvwIWla1Ksnj9vgD+z+/mRUd7IlZ/ttVoFnCmGN7Zhn77OtjSrNb1yCzwbHC+qx9/FVnCONGGauJny0gyW3T2anw8W8Pq6tF4fV2Obhuf+TOaPI8W8siCRxAAXHJVyFs+J57IhgTy7Ismide50uMsoBt706Hgivbt2v/1fQq3RsTm1nJ8PFrIzs1JYfbra23D1sGBuHRN6RmPtO9NVBwt0iEn1ej1rT5by2rpUK4O8KG9HFs+JY2KMtzCywGQU5uOsZPGceMZHefLG+nR+OViAXm+4ZgwKdiW1tIF0Y1ZyTj8/npsbj6+LLfWt7by5Ppkf9/8zDqUfXDOI/TnVVlN2TUPfNqdWcPcPh/sU9Mzt78dbVwzA1kZGYU0LS1YlW3X8nCmmuU6fXDfY4hoIBgfq7rRrJXUq4vydOV5YR1ZFkxB8mL/HTdfe+k6C087Tf/NO0WZrLjY16T3GRnoKwuHhYe5IpRIhyzUi3B25TMrOtAqLRawp+DD3fXp5QWKPP9vEtvQKGlUa/Fxsre4f/zbE4KMTT8yIEYIPUxrOPGXfYJaay6tuIauiSUihjemk+zhaYDAn259bQ1ObBnuFjNqWdtLLG4nzc7bqeimrVwnlFECYhtgVSrmM/JoWK7fDeH9nK4Gkm70NL1wST4taw70/Hul14BHgaoder6fFKEDtrRCut8ZfZxNT4NE5CwIGQeq9EyNYNDOWqXE+vPBnMuuTe69XOV5Yx7yPdnHz6DAenR6No1JOrK8zv901ij+OFPHcyiTazlAkOPUdQ7lo2xMTu8zA/dsx2XAvO1JkcdEfHeHBVcOCmJHge1ZTyKuPl3R5wzIfgnayqJ6X/0qxElK72tvw2LRorhkeTLtWzzsb0vl0Rw5qjcEo7NaxYTwwOYr1SWVMeXu7YCs+MtwdVbtOWOUGudvx0vxEJsV4o9frWXOilEV/HO9ziaM3TIv34bLBAdz9g+WI+/HRXnxz8zBOFtdz1ef7rMqUPfHc3HhuGR2KSqPl14OFvLDKes5Ud8ilEoLc7QlwtUOt1VHf0k5dq2GmS0/XkXt/PMKvd4608u3Y/NgEpry93er5WZVNOBgXhOaaijKzhYhp0Gdn+3fzNubOQ+e6oju9x+oThuySqZy+5qTh+wlGfydzY7E4P2cho/fwr8eE7dcM652/h8nbY/7AgDMaF3AhIAYfnXA6xYW/pF6FRNJRL9yQUi4EHyEehjebSf9QXNfKlDhv9ufWsCuriqGhhnbcfTnVXY7yTiqxvGn21OaplEvJLLc28Oo8LRfgmdlxeDgqeey34z2ueAYGuTIpxpuBwa4MCHQRyj56vZ7Wdi0NrRrKGlSU1atIKW3gaEEtxwrrzlmGozeYAg9fZ1uLIMhU5tjz1GQ+vWEI65NKef7P5F630ur08NXuXGFY3YwEH6RSCVcODWJanA9v/p1+xvM2aprV9F9iMFH75LrB//qLi6pdy7qkUn4+UGhx0/NyUnLFkECuHBp0xqZgndmaVsEt3xy02v7VzUOZHOsDGAz9/u/vdGEImDl3jAvj/slRONvK+Tu5TJglAgbTuxcuSUCn13PrNweF3ynM04FQD3v25lQLTqZ3jY/g/smGzqmi2hae/zNZyJqcbX6+YyS3fHNA6MQzsf+ZKdjIpDyz4iS/Hirs9TTqD64ZxLwB/qSVNXDlZ3tPmd1zVMoZE+lBjK8zSrkUpVFMrdeDt7NhCJuPsy2+zrY4KOWklTXw68FCVhwt7nIhdNXn+6wygd2V4LIrmoj2MZZazFr6zUvCcqNw/3hRncVrzTUes/v58dmO7B5/z0FG7VFNs1oYTDk4xI3FKw2ZtVHhHuRUNpFU3GAo0xonD5v/X+Yasx56vV7QNznbyoVj7Im6FjVb0wyB7b+5y8WEGHx0weVDAoULU6CbHUWdbM7N38QbUsq5b5LBzVQikTAm0kOYeQIG1zwwTDK8c3wEOzIq2ZtdLeg+vJyUQq3xeGE9ml4OTVPaSCmps8wwuDsoBI8SEzKphLn9/fnjcFG3M0xc7W1YPDuOy4cEIpFIKG9QsexIMT/tz+9xMm6gmx1z+/uhkElpVGnIrmo+LVv1f4KyBhUxPk5C6tvE6Ne3MDTEjd/vHsWoCE9eX5fWp6ChtF7F3T8cZkqsNy/OTyDQzTCP47WF/bhiqKEUk9JDxqorzOcGgaGNMPyZtTwxI0Y4t/5NpJY28MuBAlYcLRbEuVIJTIzx5qphQUyO9T4rrbLm7M+pFnxfzDHdSMFgmf7fnTl8sCXTKmM4I8GHp2fFEerpQFZFI/f/lCKsbgNc7Xhubhzjo734YHMW/92ZI0ykHR3hQU5VszAUcWS4O0sXJBLp7YRGq/tHR94/Ni0agGu+sPy9v7hxKJNjvfnpQAFv/Z3eKyElwNIFiVw/MoQDuTVEPLO2R5F2oJsdjko5CrmUtnYd2zMqha6f7pBIYHKMNzeNDuX5ufE8OTOW5UeKeWFVktX/Y+Ene9j55GRcehDdg2GBZyq1mGcfy7vIvvY0dyrY3b5HrZqrvQ2DglwBQyeLXm/Q9ZwoqkPVriPUw544Pych6zw20hMPRyUH82osMn2m4GOHWWfTVzcP6/F3NLH2ZBlqrY44P+duB5T+mxCDjy54dk6cEHycyrDqeGEd5Q0qoa44JtLTIvioa2kX9Aimdez+3BpB97FoRgxP/HECMBhy9daOXCmTWrVrxvo68VOnG+mQYDdsbaR8uKVrr4oJ0V68c+UAPByVHM6v4c316b2eIVFU22plQx3p7YiDQkZNi/q0hsydTUyBR+dSzKH8WsKeXssfd4/itYX9WDDQv8+zXTanVbAnu5qHpkZx29gwbGRSBge7ser+MfywL58lq611N93x/+yddXQU5/vF73rc3d09IUSAEAjuVgpF20JxKC0UK6VQ5As1WlqoQg2XUtzdQpCEuBN3183K74/Zneysb7DSXz7n9JyyO8luktmZ533e+9yr6Bq/7VwGtp3LkLsP/m+jqZ2HE4kl2B9fQPld2xppY2IPe4wPtaNsKT4vnhTVY8SOmzKPbxrjj8k9HQAAPL4Ahx8QAkvpmABfGwOsGeaDSFdT1Ld04NMTKfj9zlPwBUKwGXS8F+OCeX3dcDO7CgO+vE52QcIcjcFm0skUW1NdwslUnC76pKgey48kKd067Sp6HCZ+nBYq407a38sCP08Pw8MCYptQ2pRPEUsHeGBBrBtOJ5fCacUppcdqsxiwMOCgrL5NZlEmhs2gw9taH2Z6HDRzeahobEdlQzsa23m4lF6BS+kVcDHXxcJ+bpjc0wH2JtqY/fsDihlhQxsPhx8U4Z1ezuRjb/V0kKuVEZsxtkt8vfTWb2MbtQCTdK8GgKfVyj/7/TwtyO6EWO/R290MJxIJ8ecIUYH7j8ikbFQQ8e9zEk7J/raGcDQlOn0zdseTj4c5qafd6EywtVHr+H873cWHHCSnTNTRR1xMK8dbPR0BdI5WibmcXoG+nhbYF1+AyqZ26LIZqG/tQHpZI3xsDDDU35osPgDgwdNaeFnpqyxCals6yBNZDJtJl0lljHQ1RXpZI2l0JImdsTa+nRwMAy0WDiUUUt6HJGLhrTpIb+uY6bFlhF0vm8Sierl2y2JXy+yNQ3B6cW/suJyNXddy1PYhae3gY8uZdBx7WIxNY/0Q6kgIzGZEO2OovzU2nk7D8cfKHRPVQSyc/WdB9DMHpj1PhEIhHhfWYX98IU4klZCmfCwGDQN8LPFmDwdEu5mRXjjPk+yKRsR9eV3m8VVDvTCrtwtoNBqEQiHOp5Zj69l0mQ6euT4HywZ5YlyIHYRCIf68+xRfnM8gJyLivC2xZpg3aDRgwd6HZJFha6QNXxsDxOfXkNeGSeEO+GiwJ4x02Ghu5+GL85n49dazTUMpYsfkYBx+UCRTeFxb1he6HCaWHU6Su50kj7d6OmDtCB8cTCiCy6rTan1Nawdf7rVEEi5fIKO78rUxwJI4D9zKrsLhB0XIrWzG+wcSUVLXhvmxbvjz3Z6Y9ss9ih5mw8lUvB3tRAr6p0Y6yi0+xOedZOdDujBKLqYWYtKDJbdyqH4u0sT5EFt2QqEQN0Vdi0B7I1IfODzABiklDcitbAaHScdAXyvy/BMj7np08AVk9zxG5FKtisKaFsTn14BGA0YGvv5bLkB38aGQof5W5OSKvPa9JOdTOosPC30teFjqkQmwpfVtMNElWoc3sioR5mSCa5mVuJNbDR8bAxmznQdPaxHtZqay+CioaSEFTmLktUkjXU1xVk5OCYNOw/Y3g6HLZmLT6TT8eD2X8vyIQBtkVzQhrbRB7cJDHq+68BAjLjzCnUxkBIZuq8/gu8kh+HCQJ4YFWGPFkSSZi6cyMsobMW7nHUwKt8dHg71gpMOGhYEWtr8ZjIlh9lhzPJn0jXkWRu4gTKJur+j3QroI6lLV1C7qchRSPhcuZrp4M9weY0PsnkvWijwKa1rQe+sVmccX9nPD0gEe5I0qPq8GW86kydh002jAglg3zIlxhS6Hids5VVh/IpX8vLlb6GHtCB+EOZpg59VsitC0j7s5yhvbyBuKl5U+No4hik4AuJhajmWHE19I4muspznGh9pj/l6qoPSjwV6Y1duZKJ4uZKqlvwp1NMa+WRE4/rj4pWU+pZQ0YNbvCQCAXVNCkFhUj51Xc7DtXAa4PAGWxLljZrQzdlyhOowmFdUjULTdIbYjl8ZEl43iulZK8XFfqnv7pLiO8m/JY13NdUlvJXkw6TQyyoK0VGfSUdfaAS5fAA9LPXha6WPTaWJ7rb+3BfQ4TKSVNlBEreIpF8lr7bYJAQpfVxJxRyXK1fQ/45LcXXwoYN0IX7L4qG5WLkq8k1ONpnYe6YAa7WZGiZ+va+kAm0FHYU0rIpyJguFubjWlpSjmYUEttr8ZTM7O62sx5V5Qssoboc2mbrvIG80NsjfCOjkq9Xd7OyPU0Rg/Xs+hfBgG+lhCj8Ok+I/8l4jPr4GpLhu1LVzKdsf8vQ8xfy+QvmEwjs6Lxp7b+fj8XIZGuTT74gtxPqWc0n6PcjPDmcW98fONPHx+PkNt0Z8yorZchp2xNk4t6q1yT/x5UVzXinPJZTibUoaE/Bryd8dh0jHM3xpvhjugh5PxCzNNq2hoQ9/Pr1IiDwBiNH7dCF9SnJte1oCtZzPkijtHBdlg+WAv2Bppo6C6BR8cTCSnngy1WVg6wAOTezrgcnoF4r68Rm6xhDoaw0SXjSvpFaTWY+kAD8yIdgKLQUd5QxvW/ZPyTGGEytg7qyfe2ZNA6koAYuT//uo4ZJY3YsSOW2pv7zz8eAAeFxJGdy8Ka0Mt8AVChWLuOX8+xNvRzvhosBf+dzYd2y9lwVCbhXd6OePXW3mUv/GBhEKy+FB0bokfZjM6n5fedrmjpLMR6misVNsW7WZGXtvFWy7hTia4KCpChwfYQCAQkrkwYo2RpLFYkL0R7IwJ23lJUzkLfdWFhFAoxFGRXm9U0H+j6wF0Fx8KkfQaqGriUiZcpOHyBbiWUUlWtrGeFth9K598/mpGJXq6mOBGVhV5M7uXW03as9ubaJP6iKLaVkr0s6KVTEl9GyVpFwB4fNk3WNXULreLMibYFtVN7ZQI+Ylh9jj8sEhji+XXDfHIXQ8nY9zPpyr5vT4+i/WjfPFOL2cM9LHE6r+TKZk96nzvpQcTcSihCJ+N8YOruR44TAbmx7phZKANPj2RQrEOVxcWg0YR5RXVtiLw0/MIdzbBH++Ey5wLz4PsiiacSynD2eQyUt0vJsDOEOND7TAq0JaSi/S8qWhow9Bvbsh00EYH2eDzCYHkPnxRbQu+upAlV1Tdw8kYK4d6I8TBGM3tPGw7l46fbuSBK3InndLTAUviPFDX2oF3f0vANdHf28ZQC1FuZriTU01OJgz0scQnI31ha6QNvkCI3+/kY+1x9UdQNWFmtBNsjbRltlj2zOyBMCcTbDuXgd/u5KtV0B6eEwk6nYaQDReey3tzMdPF5J4OCHE0ho+1gdwxaaFQiNL6NiQV1eOnG53utQAxOTYi0AbLBnli27kMfHM5CxN72GNqpCOZyQIAe+8VYNMYf6XvpVp0bohv7pJMCLUDAErhJo2qSRPxlgtAdLkBwM/WED/fIN7n8ABrJDytRWk9ET7aVzRiKynAFW+51EiM+y6Jc1f6umJSShqQI9rOGez33zEk7C4+lLAg1o1sA/raGMjdNxR/8C+klpHFR5SrKUx12eRNrriulTSEqWhshx6HiYY2HtJKG+Bna4jPRvtj+q+dAqSHahpXSYuopLUKLAYNxXJEYfYm2vC01KfM7Q/zt34mx9PXEXHhYaHPoazS1h5PwdrjKXiybiB+m9kDxx+XYP3JVMqFQxLpaRUAuJNbjSFf38Ccvq6Y15eISbc30cHP03vgQmo51v2jfu4MALLwEJvWiYnPq4HnmrMYHWSDL98IeqbxXKFQiOTiBpxNKcW5lHKKRoZGA3o4mWCwrxUG+lrKvdA/T/KqmjHgy2sy53Q/LwvsmhJKiq1rm7n47ko29tzOlznWw1IPywd5ob+3BYRC4MiDIvzvbDr5t452M8Xa4b6wN9HGd1ey8dP1PCJ5lkHH8ABrVDa1k/oJWyNtrBvpiwGiG1FaaQNWHn2itF3/LByYHSEzvdPX0xy7Z/TA5fQKDPzymoypnjw+HOiBYQE2GPHtTbXTnhUxP9YVE0LVH4+m0WiwMdKGjZE2BvtZ4XJ6OZbsf0xOQJ1ILIG7hQecTHWQX92C/fcL8WYPB0rxARCCYWUFQlUT8fe0NyEWbQ0S18U3etjLpNlKo+p6G+dNFBMlda24m0d0UMThmL42BnAx18MvN4lx20F+hF9NgShKQ4xYMP7RkU5dnbqTbGJvjzgfy/+UB1B38aGExXHuZPEhXXgAAIveqZi+lF6BDr4ALAYdTNHF67c7naFv4hvGo4JaBNkb4X5+Le7mVsPP1hB9pOLWHxbUwsfaQOXIZqXUapAnoG676HKYqJOj1xjoY4Wn1S2kWArAS81m+bdR0dguVwviv+48FvZzwwcDPdHHwxyfnUylbEeJiw6BkPh/Oo2a1svlC/DNpSz887gYn432Ry/R33mAjyV6uZlh17UcfHclW6OgPfF5ZKLLphRDfz8uwd+PSzC3ryuWa5AZwxcQfgNnk8twLqWMch6wGDREu5lhkK8V4rwt1Y77fhaSiupIbYsk4c4m+P3tcHKF3cLlYfetfOy6moNGqZuqtaEWlg7wwNgQOzDoNDwsqMWnJ1LJMXAHEx2sGeaNAT6WOJNchpm748kbeS83MziY6uDvR8Vo4fLBpNPwTm9nLO7vDh02E20dfHxzKQvfX1XuCdFVPhjgAb5QKFN4XPogBvpaTCzY90huirU01oZaOLWoNz44+Bifn8/s8vuZGuGImdFOcHkOVvf9vCxxe2V/RGy6RBZCX17IxJph3vjsVBp+vpGLt3o6QIfNoGy9VDa1KwzjBDr1G/aigvi0xO8n1MEYt3IUB/axGDSl+jpfGwPytY8/LoFQSFjqPywgCpbhATbo4AtwWmR5Lt5yOfSgcyEX5mhMarQkPT/UGTfnC4Sk3mPMf2jLBeguPpQifXJIj2dx+QLyBtTYxkN8Xg2ZYjgyyJZSfKSWEuFyeVXN5LbG9awqvCtS5kvy4GktFse5k9bbCpHqtza0Ui/CLAZdrli0t7sZZU98kK+lyhl9SQy1WTDVZZOpt83tPBTWtKK8se25aBpeBeLCQ3oq5tvL2fj2cjYS1sThy4lBGBVsi1VHn6C4rhUCIXHx4guEoiKEGM/kC4WUrav86hZM+eUeRgXZYPUwb1joa0GbTSTmjg+1w6bTaRrrBcSFh+SWHQDsvJqDnVdzsH6UL6aJElql4fIEuJ1ThXMpZbiQWk7Z0tBmMdDX0xyD/awQ62Xx0lZaN7IqMfWXeJnHB/hY4ttJwWTRweMLcDChCF9fzJTRFBhqszA/1hXTIp2gxWKgrL4N/zubTq4cddkMLOzvjpnRTiisacXUX+JJK2xbI20MD7TGtYxK8rEwR2N8NsYPXlaEIeCt7Cp8dCRJ4Yjps3JoTqRMEvXUCEesH+WLA/cLsel0mlqhhteXxeJSevkzbbHsmxWBCBcTmWuTeCulsrEdrR18tHbw0cblw1CHBV9rQ5VbcHocJk4s7IXYz6+Sjz14WgtLAw5K69twNaMC7pb6FL+g0vo2pcUHQGiPxMXxQYkOLp1OQ5IS8XgPJxPcVqIHGSAx5XLsEdEF6+Vmhq8uEgXd8ABr3MyuQm1LB8z02IhyNRWdo53vQbzlkiRhcrZbTW+P2zlVqGxsh7EOixS9/lfoLj5U8P1bIeSoo52xtowXhKF2Z5LtmeRSsvgIcTCiGJQ9rW5BhIsJ8qqawaQTRc2t7CrUNHNhosvGu72c8bNIZPqwoE6tEayqJi7lNSSV1QBxoW6QU3yY63OwV2JkTVHhoctmkKNvprpsjAi0waggG7Rw+TiZVIL7+bUahbW9DmRXNCHW01xmjzjss4t4I8wOW8cH4vz7ffDlhUzsvpWHDj6h29Fi0tDWIQCXT0xG6HCYMivy449LcDm9Ah8N9sLkcAfQRRbUO6eE4nZ2FdadSKEIldVBXHg4mupQRiDFW0dfvhGIsSF2KKtvw728alwR+SxIaokMtJiI87HEYF8r9HY3hzb7+etHFHH8cTEW738s8/iUCAesG+FLttsFAiHOpZRh27kMmc8gm0HHO72dMSfGFYbaLLRy+fhW1J0Qd4omhNph2WBP6LCZ+PJ8Jn65mQeeQAg2k46JYfZobOsg2/1GOiysHOKFCaH2oNNpqGnmYuOpNIUmfc/KuhE+KKptlSk8bq/oh7YOPt788a5a3jsfD/dBDydj9NkmOw2kDtFuptgyNgD2Jp1bak3tPNzNqUZSUR2SiuvxpKhexqZcElsjbQQ5GGF2bxdSKCqNs5kuJSzuTHIZhvhZ4UxyGVJLGuAlVXyUqbG9ZGesTRZK0hNOx5SI5010FYd3AsTINQCklTYis7wJbPH5KCREpPYmOvjqAlGIDPW3BpNBx8XUcoqfzBDRlsvbEs67sWom2Irf+/AAGxlfp9ed7uJDBUMkBD7yTKgkVwZHHxZjzTAfaLEYoNFoGBVkg++udLZnW0UOevnVzeS2ytnkMkzu6YD3B3iQxQcAMq5ZGTeyKuFjbaBwJVbb0iG382GgxaLMnytCXHgM9LHE/8YF4I+7T2UCq/6LXMmoBINOg7e1PmW77WBCEQ4mFOHOyn74eLgPRgba4KMjSUgvawRfNAXBFwrB5QnQwSdSLsWJl2Ia23hY83cyDj8owqYx/vCxIVbVUW5mOL2ot0Yjk5I8rW4BjUZc/CXPh6UHE7H0YKLM8eb6HAz0scRgPytEuJg+d8dRZQiFQvx6Kx8bTsoasb0f54GF/dxI7YpQKMTFtAp8dSFT7jbkmz3ssTjOHdaG2hAIhDj8oAifn8sgpx1CHY3xyQgf+Nsa4kRSKTaeSiVvDH09zeFppY8D9wtJz47xoXZYOcQLpnoccrW75ljyC8lj0WUzsOftcJmiY36sK96P88CPN3Lx9cUstTKV7q7sj+m/xsv9napiQawb5vZ1Jcf+61s7cCmtHKeflOF6VqXM6zPpNFjoc6DNZkCHzYQWi45SkelYcR3x36mkUgwLsMaygZ5yNSLSwkmxI2lmeRN6SAWmiZ+rVzLCLFkwiYn1NIdQKFQaKSFtuS6JtaEWfEWfz78fE0VAf28LXBdNvAwPsEZbB5+cahEbi+2/37mw6+lsAksDLQiFQrLDKJkRo4wWLo80KXvdE2zl0V18qIBGo1FWlZLdAIBof4vHYVu4RJbFmGBCYT0qyJZSfFQ3tUOHzUBFYzsiXEyRWtqAE4klmNzTQcbv42xyGcUvRB4PC+qwsJ+b0kJC3k1MkxC0uX1d8U4vZ8zYHa/U+0KPw3xmQdu/Cb6AEF/297IgDabERG6+jOEB1tgxOQQnFvbCj9dzsf1SFlo7+GDQadBhE6LQ+tYOcJh0WBpwUNPMpUyrPC6sw4gdN/F2tBOWxHlAl8MkDcpGBNrg8/OZGmfFCIWy5krSuFvoYcs4fwTbG7/07BiBQIit5zKw65qsXmLzWH+82cOeLOaFQiGuZFTgqwtZMpM2AFEQLx/sSeZ/3M6pwsZTaaSrp62RNpYP9sTIQBuklTZSQtUcTHQwOtgW1zIqyG6Hl5U+1o/yQ7joxldQ3YLVfz8hLdafN9vGB+BhQa1M4XF/dRzqW7kYt+uOWlEF+2ZF4FFhLSI2X9L4PSzu7465IjE0T6RbOJhQiFvZVTJ255LwBEKK2NVMj4MhflZwNNWBs5kuTj0pxbFHxTiVVIor6RXYPztCxhyPxaBjeqQjuTUt7lZkljeS2igx4kmurArF2gyx3kOyUJoQZi9XqydGlZljnLclaDRiW/W4qPjo6WyCdSdSQaMR3YhLaRVo5vJha6SNEAdjlNW3Uba0xVsuB+53bsN8NzlE4WtKciG1HM1cPhxMdBDiYKTW17xOdBcfavDd5BAM/5awcJb3kTTX45A3+f3xhWTx4WGpTznBi2pbyUKGKbrw382rRkVDGywMtCg38DPJZdgw2g+LFERJi1HlHtkm5VNBowGl9ertWfdwMsbEMHtEbr5EuRhFuJggztsSLVw+LqSWI7ey6T9VeEgiLjyC7I0okw0nk0pxMukUbq3oh/mxbhjiZ4WVR5/gXl4NWrh8cJh00Gk0tHbwUd7QDnN9Dug0UNqxfIEQP93Iw8mkUqwb6YtBvsRq0FSPg81j/fFWTwes+ydFZbCXJmRVNGHczjv4852eMhf5F0UHX4CPDifJ9Y75YWoo+XMDRNFxLbMSX13Mknvz7eFkjBVDvEhjr+yKJmw+nUb+nfQ5TMzv54YZUU5o5fLx8fFk7L1XAIEQ0GLRMSncAQ2tPHx7OQtCIVE0Lx3ggWmRjmAy6ODxBfjlZh42n0mXee3ngakuGz9PD5PpIK4YQjiz/nwjF19cyFTZ7SBC7nzkuryq4t1ezvhwkCe0WAxUNbXj5xu5+OteASWMTROqmtrxx91OfdvHw30wLdIJG06m4sHTWry95z6Ozo2Ggym1OzEmxI6iiwOIrrD0tcRIpCO5pmTk3dWc6K6IOxQA0aX4QonY1sfaQHnxIdJ73M2tRnlDO6FvEy08eziawMpQC/8kEq83ItAGNBoNhxIKyck3Bp2GwX5E8bHi6BPy+8rr0shDPGk1WuQZ9F+ju/hQAz/bzjaZtMkRAMpEyb28GuRWNpHq8FFBtkg/23khExcd9/JqyBvaqSelmBntjP2zI8gip761A2Yq9iPFxylDusuhzWKo5eNBpwGfjPDF/L0PKYXHT9PCcCG1DFvOpGs0pfG687iwTm4XJHrLZQzzt8Z3b4Vg36wIHEgghIGNbTzQaYQmqIXLQ2VjO9gMOlzMdcmcCzGl9W14748HiPO2xKejCA8JgDjvDr4XiR9v5GLLM9wMjXRYMNFhU7YNp/xCeEf88U44eru/GCFbdVM73vktQe446sH3IskuAyCyrc6uwlcXMmX27AGiY/PRYGJslkajoaqpHdsvZmFvfAHplzOlpwMW9XeHoTYLe+ML8MX5TPLzMdTfCm7mevjj7lNSozUm2BYrh3iRnj5JRXVYceSJxsGA6rJtfACyKppkCo/EtQNR1dyO8btuq6WhuvphX3xzKUvjwmNciB02jPaFDpuJ5OJ6/HqTKHy5aoZZijHWYUGLxYA2i4HS+jYZI74NJ1NhpsfGgfcisXDvI6SWNmDGnnicXtSb4gfiI5XsLRbvS4fCGYmM9JT544SLzBslPyccJkPGuVmSBwWKi3pdNgMRLsT5KdZdDAuwxnnRFsvwQGs0tHWQ2rCRgYTRmKRdwSBfYkKshdv5WZ8e6ajwNSXJqWzCjawq0GjA+BA7tb7mdaO7+FCT0UE2+FuU0yE99VLTzIWRDovcNz6YUIQVQ7wAACMCrfE/ieKDLxBCX4uJ4rpWeIs+fCeTiOJDssgBoJYuo0TFiGw7j3phaOHy0arG/vUQP2vkVjWTbWwaDTgwOxLrT6YobWX+l7mUXgE2g44AO0NKN+LUk1KcWnEKNz+KxaRwB/TzssDqY09wMa0C9a0d0Ocwoa9FR00zF7mVzbAy0IKNkbaMZf/FtHJcTCuHjaEWot3MkFvVjMzyRrX0H2wmXeFqua6lA3UtHbAy0IK+FhNZEnvg4gmTPTN7kOZIz8qDpzUYt/OO3OfOLekjk8h5O4coOqQN3wBCnLi4vztGBNqAQaehrYOPX2/l4fsrOeQKOc7bEiuHesHVXA93cqrx6YkUckXrZaWP8aF2OJlUSjoWe1jqYf0oPzKe4EXnsRhqs/DXuz3JhYWYNcO8MTPaGb/eJNxvVW2HzurtjDhvS/SVmBRRBxczXRyeGwUTXTaSi+vx9cUsXExTb7rtzR726O9tCQ9LPdgZ68jttLZ18PGwoBb74wvJsdCqJi7e2HUH+2ZHYPJP95Bb2YzTT0oxVuJGKi2gVLSWEU/QKHJxNdRmwUt0TomnwNws9FBUqzyDRllGTayXBThMBlq5fJwRjdGGORpj770C0GnE9fFcchm4PAHcLfTgba2PG1lVlG3PKRFEobFeImRy5VBvpe9JzG+38wEA/b0sZTpG/xW6iw81+XSkH1l8yFsp8CW6A4cfFOGDgR5gMeiwM9ahOGnmi6Ze7ubWoIXLA41GjJoV1bbIGDedSS5FqKMxxRlQmnMp5Ur3LtvlxERLWw/LI9zZhLLl88WEQCza90jma7VYdHCYjGfKf3md4PIFSHhaizHBtjIq+l7/u4IhflbYOSUUP00Lwz+JJVj3TwpqWzpA5xICttoWLsoa2pT+DUrq23BIIhyMQafByVQHHpb60OMwcSm9QsbwjMsTwMZQC9XNXIU3MeJ1iRu6kQ6LssqesZtQ4v86Iwz9vCzlfr0yBAIhfrmZh42nZePjLQ04ODYvWiaP5l5uNb66mIm7ubKTHPYm2ljUzx1jgm3BZNAhEAjx96NibDuXQXqR+NkaYPVQIpG2qLYF8/96iFOiG4WRDguzerugqLYVG0+nQSgkVrPvD/DA9CgnUmB7Ob0cq48ld3nLQRWbx/qjtoUrU3g8WBOH+tYOvPHDHaWfbzFXP+yL9w8+xk83NCuQxMVeSkk9PjqSRPGZUMSHAz0Q5mSCysZ2nE0pw6pjT1ApNdbsZaWPKRGOGOxnBTM9DqJczRDlaoZJ4Q6Y9BPhUVLdzMVHR5IwPdIRX1zIxG93nlKKD0XQQC1wJIM+5RHubAI6nUZJpt0wyo+0P5dHiIOR3A6bmDfC7AEAF9II3YWdsTZ5jkS6msJcn0MWWiNFWy6SQlNXc11Eiorb/RJ6D3lOsNI0tHWQWy4zo51UHv+60l18qImq+XXJNnpVUzsup1eQe9kjg2wpqzpxTsDDglrSOfVUUinei3HFJyN88KmoUi5vaMeHAz1VXpxM9RR/OOVlk6gzusaUyEmI9TTH/fwayg3TWIcFNws9PCyoQ1vH/4/CQ5Jjj4rhaKoDa0Mtys3zTHIZnFacwvRIR2ixGAiwM8K1zEoIhOjSDS7U0Ri7poTKGHzdyq7ChpOplKKzpL4N2iyG3ARfScTJx742BjDRZVNElW/vIcK/pLUYimhs68CCvY/k7sePDbbFprH+MhfchPwafHUxE7eyZSe6bAy1sLC/O8aH2pEFwr3camw6nUYKnq0NtbB8sCdGBdqCyxfg64uZ2Hk1B+08wndnck8HOJjoYNe1XLJIGxlIeKxYirZYKhrb8OmJVLUMu7oCm0nHiQW9MOhr6tbIvL6u+HCgJ367k4//nU1Hm5zFgSRzYlwR5miscbdjx+RgDPO3Rk5lM2b/nqCyizrAxxI9nIzx170CtUzJ0ssasebvZKz5OxlmemwcX9ALtkbaiHQ1xaUPYtD/i2sAgEcFdZga4Qg2g47EwjokFtZRRnClDcUA2WuWoTYLQiUGQmL36M9OdRa+ka6mWLxfsV6uoEZxx9jWSBu9RJYJ4hj70UG2ZHbLiAAbVDa245bID2ZEoA2qmtpJ63WA8Geh0WiUlPGvJwYpfE1JDiUUoYXLh4elHqKkUtL/S3QXHxqwd1ZPmZwFRRy4X0hevIf5W+PTf1JIjURuVTNczHWRW9kMhkhIdCKpBO/FuGJKhCNZfABAdqVq3wctJbket3OqocWiUy5y0nuq0pjpcSgFSqijMb640HlB0uMwYazLltsmtzXShpOZDhh0OmgAMsoa1eq0vI48rW5R2LqVFtKpgs2kw9ZIm3KxAoiu2JDt17FmmA9GBdmQwrNoNzOcWtQb++8T2gbxTba1g4/siiaY6rJhrs9RKqgTb6n52xrCTI9N8TYRG9xtHR9ArgIlSS1pwIgdN+Xqh7aOD8CEUDsZkVx8Xg2+vZwld4LE0oCDBbFueKOHPTndkF3RhK1n08kbpy6bgXmxbninlzM4TDrOJJdh46k0shPS09kEE8LssffeU/x5l1iFulnoYf0oX0S5EjcTgUCIgwmFWHciReWNv6usH+ULJp0uU3jcWtEPDBoN03fHqzVFc21ZX8zf+1DudJAixoXYYfNYfzS38/DpiVT8cfepUo3X5J4OOJtMmM2p0xWRR1UTF9FbLpPGdq7mevhxaihmi86h3bfyEetljnMp5biXV00pPuTVFAU11M+ALpuhVIcj3j6TfP8NbR0Kg+2I96z4ufGhdqDTaahuaieLamczXaSXNYItylf5SyRiDrI3gpOZLn64lkNe33XYDIwVZcq890cC+X3Fo7jK4AuE5JbLjCjn/6TQVEx38aEB4guYOlzNqEBpfSusDbVhostGb3cz8uKeW9mMvp7myK0klN0MOg3JxQ3Iq2qGs9RM/InHJSq3XlSNV5rosCmjcapGLM302PhTQr2eWFRPuUj42BiQY4sA0QVZOtAT/bwsSLGkJOIZ98zyRlzPqpTJbvivs2yQJ3xtDMBm0LHrei4ZVGeqy4aZHgeZFY3g8gSob+1AHw9zJBXVkfohgLi4LznwGIceFGL9KCKsDiC2Y97q6YgRgTbYcTkbv4qMswCi5V3dzIWtkTYMtVlKL97iUdYAO0NYGmhRLuLLDydh+eEkrBzihdl9XLD/fiFWSij3xXCYdBxfEE26gYoRCoW4mlGJ765ky53aMdPjYF5fV0zu6UB2SMrq27D9UiYO3C8kresnhRPhb0RB1YBP/0nFHZEXjrhbklbagOWHEyEQEjeAJXHumBHlTGoLsiuasOrYE8q5qwplWhp5XPogBoO+uk4RY08Kt8fmsQE4lVSKVceeqNyinNfXFVGuZojZdlXt1wWAmx/FwtJAC3/ceYrtl7KUvo63tQHSShsoZoPPytrjKWAz6Hgz3AEDfCyhLzLae1JcT4ZlShfX0l0ODpOOLCl7ARqNhu9EMRfS6Gsx4W1tQPkbLRvkiatKguSkDfmkmRBGFA4nk0rBFwgRYGdIdjmGB1hDj8Mkr4/TIh0hFAopo7Sjg21hoEV0a8RWCZImaMq4kl6BgpoWGGqzMDpYdbHyOtNdfGjIxDB7tQLYBELgcEIRFvYnkgtHBdlSVpYt7XzQaUBOZTP5YTiZWIKF/d2xeaw/eYEvqW/D2hG+ePBUsdV6Rnkjwp1NFF5UO6RWPgwVHwIOi0FOBFgZaCFBIvOEzaRTXmd4gDU2jvZXui1Fo9Fgrs+BuT4H0W5mWDnEG2X1bbiUXo6P/05WKDR7HZkR5YQ9opWLmG3nMjAlwgGfjfZHlJsZrmVWYuWRJJTUt6G6mQsvK33Ut3agtL4N1zMrEWRvBB1rhozt861sUVhdjAvmxbqRN2sDLRZWDfXG5HAHbDqdRmmxi02fPCz1wKDT5Yr2OEw6+AKhyIa6HoF2hnC10MPRh52als1n0uWOn8Z5W+DrN4PJrUQxfIEQp5+U4vurOXJf01iHhTkxrpga6QgdtsjcqqUDO6/lYPetPFK3MsDHEssHecLdUh9VTe1YefQJDtwnVp0cJh3vxbjCXJ+DL85nkCZOwwOssXqYN2nJzeUJsOtaDr68oHo7QRLpjqEylg/2hK+NIbndIObi0hhYGHCw9OBjyu9TETeWx+KDQ4kaZcdsHReACWF2uJpRiWm/xiNXSTy8GEXiTXWh0QBHEx0ZI8MVR58gzMkEbhZ6WBznTm6F1IrC3VS9N2MdNqVTOljUPRaLhaXp4WQCBp1GJswCwLu9nTH1Z1mrfjFVSjoivd3NSO2dWNPVx92cnJqZFumEC6nlKK1vg6kuG8MCrBGfV0OdJOtJCE33Svj0qGunLr52vNnDnvxc/Ff5b/90L4BPR/mqnf56IKEQ82MJt8YBPpaUi9mjwlp4WxsgpaSBrNpPJBHFx5s97CmrS3VG/6Qv/pJ0SAlks5ToAYDOcWAA0OUwKBcDyRVGuLMJvnwjiKJa5wuIkcnrmZW4lV2F8oY2spDR5zDhbqkHJzNd+NoYopebGXI2DUVWRRN+v5NPtspfZ/bczkectyVK61vJbQ0A+PNuAf68W4CHHw9AjIc5zr3fB/87m44/7xYgvawRprpsBNobIa2kAY8L66DLZmCInxXSShuQL7FK4/IF+OZyNv5+XIL1o3wpEypOZrr4cVoYbmdXYb2UHiSzvAl0GrHF0sEXUJ4T3+jN9NhoaOMhsaheqaGcmPQNg2X0HFyeAMceFWHXtVyZVS5A7N/P7uOC6VFO5Dnb1sHH73fy8d2VHPJGFuZI+HmEOZmgncfHrms52HE5m5xwGeZvjdHBtvjxeg65/edqrov1o/zIiAOA0JesPPpE5TkviYEWkTqtbuFx4f0+WH0sGVvPZpCPiRNo7+fXYvqv8SqDG4cFWGNWbxf03qq+Nbq5PgeXPohBSzsfc/98iLMpmuUDPQtCISGe12LREWhnSDlfxn5/C0nrBmGovzVZfIjdneWdE8oYHWwLgZLViVjvIVkY02k0mZBISZS51Yq3GPOqmvG4sA4MOg0tXD64fAEC7AwRZG+EzSJR9aRwB3CYDIqgNMzRmHQtXn0smXzc3ZI64SWPrPJG3MyuAp0GTFVzJPd1prv40BB11MpiimpbcTunGr3czaDLYWKQrxWOiyZmOvhCciujqY0HJp2GzPImZJQ1yowiHkooRG93M6X7xMr2MOukbIlTSpTfWCTFXflK2pM7JgdTCo8nRfVYdeyJXEdKgBDlPiyow8OCOsoqcEywLYYHWGPlEG8ce1SMNX8ny/361wXxGOPsPi4yPgMhGy5gUX93LB3ggc9G+2N4AGHR/rS6BdXNXPjbGqKFy0NOZTPOJJfBz9YAQ/2tcCG1nOK3UlDTghm772OovxXWDveFlaEW+VyUSA9yMKEQn5/LILM4BEJii0WXzUCUqykqGtspwtQqqZRkVXh9fBZeVvrYPzsCbCYd++IL8dP1XLkaHyMdFt6OdsaMaCcyrI4vEOLIwyJ8dSGTFON6WOph+SDCzwMATj8pxeYzaWSGjb+tId4f4I4bWVWY8+cD0tZ+UX93vNOrc4ulvrUDW8+m4y8NtxXM9DhKP0uSzIhywls9HTDgK6q24+B7kQiyNyLdXFWFLZ5c2Au/3srD6O9k03wVcWB2BMKcTPDHnXx8fj7zlZn8tXUIkF3RRHF+bmgjfG2sJc5JsWGcpp4iQfZGSnNtpD1q+nlZKI2msDHUomxBS0KjAQN9iUkvcdcjytWUtE+fGuGI9LIG3MurIbY8IxxQ39JBClGBzqIhWeIauGqol7IfkWS3qOsx0MdKZvLxv0h38dEFjsyNwrid6mWc7L9fQDpJTo1wJIsPgIiK1hPti+qyGeBx+Tj6sAgrh3rj4tI+pIlQaX0bNozyU1p8KEtulKaDLwSHSVc4kinpwkmnAfLWCaODbGCh33lxOfqwSG6GiDoce1RMftjfjnbGqUW9kFPZrNLd9d/Oj9dz8W4vZ1zJqECORLv5m0tZ+OZSFp6sG4gIF1OcXdwHX17IwC838/CkuB6mukQ6ZmJhHZKLG5BR1ojBftYoqm2RMaE6/aQM1zIq8f4AD8yIciKD2Bh0GiaFO2BYgDW+u5KN3TfzyQt/M5eP2znVsDTgYJCvJVJKGtRKag12MMKIABt8diqV3CpLL2tE0HrF6anm+hzM7u1CiRAQ57VsPZtOdiRsDLXw/gAPjA2xA4NOw5Oiemw4mUquYC0NOFg2yAs0AMsPPyELhKH+VlgzzIcc4xUKhTibXIaPj6eoXUQAnd0Odb/m6LwoXEgtpxQeBlpMPPh4AJ5Wt2DM97conS9Fr3lyYW+NguAC7Y1wYHYEciqbMPb7W2p1qDQhxsMcwwKs4WWlDwMtFnQ5TPAFQuRVNSOttAFfnM+Q6Rw0c/nQ16LeSn66kYtVcjwttCUWb7VyAur4UpWapQEHC/Y+lPteXcx14W2tj0sSniWfjPDB9F8Vb7koE7/PiHICh8lAB1+Ag6JuhqE2C8V1rTDSYWFEoA05DDDI1xLWhtrYc6tTZ2WqyyYzayRHq9/t5aLwNcXUt3TgqCi4cMZ/eLxWku7iowuEOhqrfezZ5DIyuTbU0Ri+NgbkRamysR22RtpoaueBLtJhHEgoxPsDPMjMCjGXMxS7+4mxNdJW2d4Vo8ViKCw+JL+HolWb5AREQn4NPjzUtcJDml9v5eHXW3nwstLH72+Ho4XLx5w/Fetd/u38fDMPRjoszO3rip1S+/j+685j3QgfzIh2xuphPhjib43lh5OQXdGE2znVCLI3glAoRGJRPU4klsDNQg+Twu1xJrmM0s1q5vLx2ak0HHlYjM9G+1HOTwMtFlYO8cZb4Y7Yei4dJyVGS8sb2hUmGouxNdKGvhYTeVXNeFRQh0cFdQh2MEJ/LwulI5m2RtqYE+OCCWH2lG7h/fwa/O9MOik+NdRmYUGsG6aKRpPLG9qw9WwGjj4qglBkiT67jytiPc2x+XQ6WYy4mOli3UhfSsx4SV0r1h5PUdtAS/K9qvu5GeBjic9G+6HnJmqWyqYx/pgUbo9DD4rwyfEUuSPukvw6Iwyl9W0aFR77Z0cgyN4IX13MxM838tRyKlaHjWP8MMTPWmnCq5WhFiJdTTEz2gknkkplFgbSRng/XieKD2ndjOS5IK9DKuknos9hgkajKYwXGBFATH+981vnRImBFktpt1bZr2xiD+Kadia5DGUNbZQu2MQwe7R3CMjR2+mRThAKhZQtl4miSS3Jomqwr5VaGUoHEgrQ1iGAl5U+uZX0X6e7+OgiUyMcyTwDE122jOmTGJ5AiGOPivFOL2JsakaUE5YdTiKfFxcA7TwB6ZL6T2IJ3gizR4yHOTnqtfdeAXq5meFmtuLuR4MGRl9MNT4Q4vcvD18bwo2Vxxdg8f7HCj/UbAYd5vocVDe3azTamF7WiGm/xoPDpOPLNwLR2MbDJ/+kqP31/ybqWjqw82oO1g73wY9S2xLrTqRi3YlUpG8YjBAHY5xa1As7Lmfj+6s5eFxYByMdFvp7WeBxYR2yK5qQU9mE4QE24PL4MoVDWmkDxu28jUnh9vhosBfFnMnBVAc7JodgRlQNxu+S7z4qD/FN2clUBzpsJlJLG8giRNXXtfME4Ii2QcSrZrFFthaLjpnRzpgT4wpDbRZauXx8cykLO6/mkDfuMcG2mNfXFQfuF2L8rjvgC4TQYtGxsJ873u3tTI7k8gVC/Hn3KTaeTtNoMsVQm4X61g61C4/dM3ugqY0nU3g8/HgAWAwaFu9/TBpPKSNhTRzGfH+L3EpShaOpDs4u7oOcyiaM3HFTadikuszq7Yz5sW4qDbzEnE0uQy93M+hxmBgZaANLfQ4m/nhX5ddJB9RxJLZpL6koEuf0dZXJppJkRKA1Rc8W522JQw8U6/H8bQ0VbgkH2BmSk1q/itLFe7mZ4u/HJaDRCLfSQw8K0drBh5eVPsKdTfC4sI6inZrc0wEAMOv3zmLoy4mBSn9GQDxeS9xL3o7+b4/XStJdfHSR1cO8yeJDUeEh5sD9Arwd7QQajYYRgTbYfCad/Jqa5nbSaMdORxt1LR34/U4+JoTa4YepofD6+Cz5fcKdTZQWH40a7PtqcpGWh3i65UJqudyLtzaLgRGB1sivbsH9/BqV+96KaOcJyO2cHZODkVRUrzSv4d/M+pOp6Otpjv7eFjJaBK+Pz5LGXh8M9MQgXyssP5yE1NIGXEqvQLCDEbytDXAzuwonEktgY6iFd3s541J6hYyIb198Ic6llGPlEC+MD7WDUEis5uYraF9LE+dNZFJIpuoqW02KkdZLfHYqjWL8BBDbQW+E2WNJnDssDbRI59L/nU0ndR8hDkb4eLgP8qqaMfnne+RqeJCvJT4e7kPZD08va8CKI0/k5scow9Vcl7IVpgwXc10cnhOFST/epVjiT+7pgE1j/JFUVIeF+x4pHd8ECMOwIX5WCPvsotrvc/fMHujlZobvrmRjx+XsZ85T+nFqKOK8LUGn0yAUClFQ3YKk4jqcF3lwNLXxIBASN+phAdbo42GO/KpmzP3rAdwt9PDTtDA4muqip4sppkQ4qBSJS3dnDLU7p+JUeeEM87fGLzflO7p6WenDzUKfEl3xxYRABK4/r/D7KSo8gM6ux6OCWjwurAObQSdDRGM9LWBjpI3fRe93ehRxLd8f31noxHlbwM5YBzyRAzJAfB7UmVgRX0ONdVgYqYYXyH+F7uKji2ixGDDWYZGTHJKCK2kyy5vwqLAOIQ7G0GIxMCncHt9dIVrwAiHAE60O6HQaOEw6kosbyOMlOZusWs0umTGjDE0KFWlsJIRke+XEvhvrsPBGD3vsvpVPFjmu5rrwszVEUW0rSutaUdXE1Vh8tmDvI5jrc7D9zSB8dSFTrRvivw2x/8CmMf749EQKZevrvT8egEGnIeuzIfCzNcTxBdH48Xoutl/MwqOCOuhzmBgWYI3EwjoU1bbi55t5GORriShXUxxMKKSsMmuauVh2OInSZZNm2SBP6LIZ+PZyNilKBQjBLItBw1B/K4UjjvJg0Im8Ej0Ok5LiKcnP08IQ60WISR88rcWGk6lk4WBrpI0VQ7zgYq6LT453pvk6m+li7QgfxEpM9rR1EJ0STUZSAcIXggaoXXhsGuOPaDdThGyg6lrOLO4NT0t9/HQ9F1vPpSuNoAeA8+/3waGEQozSQFSatG4gyurbMOb7W8+cp3RkbiRCHU3QwRfgYlo5Np1OU/r5ic+vkZkYySxvwqjvbuHQe5Fwt9THon7uSosP6VwpgEj6VhcnM11sO5ch9zlxVL3kVmZ+teK/qTKNG0C4lAKEIRpAbK9dFoVITo10xLVMwn/DQIuJUUE2aGrn4aBEl0Wc4yL5fo/OjVL245HsuU0UWJPCHTQaaHjd6S4+noG/50eTRkDKxrcAYH98AVlMTIlwxK5rueSqQHwTzq5oIluDv9/OR4iDMbaM9Scv5KmlDSqnXtQpPJ4VsbJeIBDK9RYZFmBNChyjXE3xZrgDziWX4fSTUpUXaVVUNrZj8f7H6O1uhvdiXOUaXr0OrDr2BHNiXJFX1UTZPuELhHBZdRonF/aCn60h5se6YaCPJZYdTiISkJNKEeZojCB7I5x+UopzKeVkjknC01qVBlr9vSywcYw/ZTpmXKgddl3Lwc83Ov01OvhCtQqPMEdjWBlqISG/FmUNbTKdDmlm7iEyZCTNu8TOpeND7fDdlWws3v8IAiHRPVvYX+xo2nlRvpVdhVXHnqjsNEgjqbdSh8sfxOBCajnF7MvWSBvXl8eitoWLt3+7r9TMSsyDNXGI2HxJ7XP/o8FemBPjgj2387H5TPozdSnFRUdBdQsm7Lot15VYE+paOrDscBKOzI0i04AVwWbQZR7zEE3yyRObShLlaoqGNsXXsuEBNiis6fz7bxzjp9CIDJDtwEgyNoQwBSurb8NpUTaQsS4LjW08OJrqIMbdHDNE5+1Ekf/Gn3efkt1cBxMd9BFN3fwg0ZVVJxAurbQBd3OJ6RlxAfP/he7i4xlwNNVVfZCIgwlFWDbIC+b6HFgbamOwrxUZggUQ7Wi+QEjuYZ56UorVw3wwsYc9ZRVpqeID/zJoEInLyhraZFYTPtYGuJpRCS5fgKH+VghzNMHi/Y+6vO2iiBtZVbiRVYUlce4orWtT23vl38Suazlg0GkUUzkxw7+9iXBnExyYHQF3S30cmRuF3bfysO1cBhKe1kKfw8Tkng5IyK9FelmjWh0AWyNtvBnuQCk8AEBfi4Vlg7zQw8mEDJhTF3F3wtfGQO4kQbiTCT4b44dVR59QhIOSN9Rz7/fBzawqDNl+g9yOHBZgjdVDvSlhdLXNXJGwtjN0Tx30OEzYGmmrXXhMi3TEyiHeCNlwgSIc3TTGH5N7OuB2ThWW7H+s1L4bICYvguyNEKrBNsvlD2JgpMPGrN8TlEbIq+K7ySEY6m+FOznVcFpxSuFxbAYdHBYdLAYd2iwGguyN0NPFBL3czNDC5WPF0SSZrsvjwjoceVCEN3rYY1K4PfbFy//syeuuitNnTyYp18a8P8ADm0/LmtoBxJaQk5kuBkvY148OsqX4akijbLtqokg8/8fdfPAEQoQ7meDB0zoAhGFYXnUzrmdWgkYDpkY4gS8KURQzJcIBdDqNTL8FiJRoddgj6rQM9rOSCV78ryNbmnajEb9MD1P7WHF7DSD2DSURj6DlVDbB1kgbHXwh9scXgEajUVYQhx8UyYSMSSO2Mn7R5MsxDOrgC1BU2woTXTaC7Y2x/mTqcy88JPn6YhYOJBRi/SjfF/ciLxC+QIiVR5/g20nBCHeiqtzj82rgvPI0SupawaDT8G5vF5xe3BvBDkZobOeRBmXqUlzXilm/J+Dd3xLIuHEeX4DzKWWY+ss9tQoPJ1MdrBnmjbdE4joxim7s8fk1GPbNDTxSosno9b8rWHH0CWqauXC30MPed3viu8khlPHZvx8Vo/+X1zQuPILsjdDUzqNoNZSxd1ZPvBFmD++1ZymFx92V/fFmD3vsuJyFKT/fU1l43FrRDzXNXIz5Xr2RfB9rA2R+NgTlDe0Ysv16lwuP2X1ckLVxCFgMGpxXnsbkn5VnUXH5AjS28VDTzEVxXStOPSnF2uMp6PfFNcJtdkY4Noz2k/m6E6LiQXLcXpoMOeemh2iK7+PjysXjIQ7GFM2RJOItF/G5b2ukTVnISWOgpXiN7Wymi3BnE7R18Emr+UB7Q6SVNoDDpGNCmB3+EGk9+nlawMFUB+dTyig6qwmhRPEy969OTZWk+Z8iapq5+PsxMT0zU+p+8P+B7s7HM9LfW/348T238jG3rxv0OEz0cDKGj7UB6V7a1M6DmR6bYvT0170CzO3riivL+iJ6y2Xy8fGhdjJjm5Ko49nwrPD4AhnbdgDkRXmInxW+uih/FHOYvzX87QxhosNGUzsPuVVNOJhQ9Ezt5bXHUzAm2BZsBv1f0QXRxKwKABbue4TxoXbo522BLVI25lFbLuOdXs6IcjXFiqOy8ebyCLQzxIhAG/xx96nM9sTFtHJcTCuHPocJLTZDre8nJr+6BZ+dSoObhR6czXQVOlb2cDKGn60hdt/Kl9lumBnthBAHYyyU4+OSVdGErIomRLiYgk6nobiuFauPPVFre0MSbRYDES4mlEgDZfhYG2DvrJ74+mIWxR6/p7MJ9s+OQF1Lh1rbLLpsBu6tjkPfbVfUNm37/q0QDPSxxPZLWdhxJbtLxbqRDguXP+iLotoWuK8+o/k3kMOppFJcSC3HjeWxuJRWTvnZ7+RUo6GtQ6mzcqpUQepgogNDHZaM47I07hZ6Cs9JGo3oiklOFe2Z2UPG6E2ShjbF+raZokGAvx8Vo7alA7ZG2qQJ2aggGzAZdDLefnoUMV4rGfQ3LsQOxrpsZFd0FlpLB3go/fnE7L9fgHaeAH62BhrZN/xX6C4+ngOSHg4sBk3h3m4zl4/98QV4t7cLOXa7/EinIFCXw0RVExc1zVzosAlb8wup5Rjib035Pi8qBlwTCmpawJIzriu2x04tbZCJyp4a4YjVw7zBYtBxOb0Cd3KqcSe3GrmVTWAz6PCzMYCZHgcpJQ1qjz9KIjYq+2SEDyUZ+FVQ1dQOOk25r4A04ovc3lk9sfIoVdPwy808hcp/MQN9LBFob4Rd13KQWFSPlJIGvNPbGQKBELtv5cu0nhvbeXJb4+4WepjVx4W4+NLpOPKgCF9cyKCYz2VL2ZVLC67v59cq1BfsvpVPCvvk8ck/Kc80Vh3qaIz8qma1C49NY/wxNsSWMlkGEJMhA32t8LiwDvP/eqjynPx0pC+iXE3h98k5td/r7RX9wKTTMPmne0otwZXxy/Qw+NsaInrLZZX+IprC5Qkw6ce7+PPdnoiSWADxBMSkjLKp0OOPqVk2fTwIs8X7KnRJywd7YenBx3Kfi/Ukpkp6/a/TH6Wrk6mG2ixMCLWHUCgkz8dhAdbYfYv4nE2LdMKxh0VoaufBxUwXvdzMcCe3mmLsJnY0HfFtp5B4Qaybytfu4AvIjsp/Pb1WEd3bLs+BDwd6kv8vr/BgMTpPrF9u5pEr/JFBNjCWCGSrbebCykALrR180ofjtzv5AICfpnVu7xTUtOCdXs7P9WfQlMzyJrCYik+fMikL44lh9tgw2g+ppQ2I2HwJs35PwK+38pBW2oB2ngBNIuv18wpGdzXh0xOpGBtii35eqlufL5KuTkVO/umeSjHlvlkRyNs8FFkbh2DpAA8w6TScTy3HLzfz8MEADwz0sQRPIMQP13JxIbUcwQ5GKl/Xw1IPu2f0wLklffBGGGGYxKDT8EYPe5xd3IdyrkoT5mSCHZODEect/3dubail8Lk1w7zxZN1AfDzcR+V7VAabQcfEMHs8eFpLmd5RxqUPYuBrYyBTeCR+MhADfCyJsfddt1Wek5c+iIEOm6F0BS6Ju4UeMj8bguK6Vgz79maXCo9wZxOkrh+Ea5mVCN906bkXHmJyRQZz0lQ2tivcfgp1NMZDqa+J8SD+/utPKl8YxHqay4Qqipka6UgRok7u6aBxYKCYmdFO0GYzcCenGhnljdBhMyAQCNHBFyLYwQi+NgbkOPC0SEfQ6TRKx9nf1hCBdoZobOsgf/d9PMzVMhU7n0KE05npsTEi0Frl8f9FNCo+du7ciYCAABgYGMDAwACRkZE4c6azxScUCrFu3TrY2NhAW1sbffv2RUrK62kMpQkMOg0hSi7ukgVJaX0bmQWgxWLgzfDOvfOGNh6MRBf4NlGBcje3BhlljRjgQ93eUeUt8qLJLG+EhRLtSalU8bFmuDfu5FRj7Pe3NWrzd5WjD4txOb0CK4aol6vwonEweb5ZDfP+IlxfWQw6FvV3F8XZ66OmmYt1J1LBYTEwU2TTTHitqJ5yKG9ol/m7tXXw8evNPAz8+jo5Vi6Pa5mVWLD3kUKtQml9G+U5E102ea5/dioNUZsvo6i2hTRq0pQgeyNEupqqveU2NtgW6RsG4/CDIsr464hAG+RvGQYmnYZF+x9j7fEUlVMq6RsG44vzGUrHmiXZMMoX59/vgz/vPsWkH+926fPw17s9sWKIF3zWniP9J9QhwM4QY4Ntsbi/O76eGISTC3shbf1gJKyJw3eTQxBgZyj363Zdy5HRktW2cBX6q8R6UjNXWAwaIl1NIRQKleqUermZKTxXxZMn8/7s1FYsG+ip0Ti4JNMinQAQrsoAkTwudgCeFumIW9nVZG7NuFA7JBfXUyYNp0Y4gkajYZ6E1mPnWyFqvbZY/zdZFE73/xGNig87Ozts2bIFCQkJSEhIQL9+/TBq1CiywNi6dSu+/PJL7NixA/fv34eVlRUGDBiAxkb1RXGvK5KdCVX8cD2HTGqcEuEIhkSlXNXUDn0OE1yeAOKHfxd1P+bHupLHHXtUjN7unemdL5v98QVqhx+FO5mASadjtoTznzTqOq5qypYz6Vjc3x36SvamXwYFNS2w7aKa/fj8aES6mFIeq23pgPPK06To19fGEP8s6EV2xE4klijd2pBHfWsHVh17gnG7buNRQS323MpDn61XsP5kKhkFsGWsP7I2DsHFpTGIU6J3MtPj4Le3wxU+r8dhYmE/d3w60heu5rpobOdh9618UvSnCe/1ccHjwjrSDVgVu6aEYOv4APivO0dZye6e2QPfTgpGdkUjRu64SQkMk8ebPeyRtG4gvD4+q/YN8ML7fTA2xA6L9j/G+pOpGpuGuZrrIvGTgdh1LQdj1RSzAsQWg52xNpKK6nH0UTG2X8rCkgOPMfzbmwj89Dw2nkqDr40BDs+JwlB/K5mvf1JcL1N86HKYCke7pX+uUEdj6HGYuKMk9A0APhvth0k/yXdOnSoaRRUbLepxmKTRo6ZMj3SEiS4bT6ubcUnk52FnrI2yhjaY6rIx1N+a7DqPC7WDvhaLMkZrpsfByCAbCARCsiDRZTPI/CJlJBfX435+LZh0Gt76fzZeK4lGV+QRI0ZQ/r1x40bs3LkTd+/ehY+PD77++musXr0aY8eOBQD89ttvsLS0xN69e/Hee+89v3f9L8RUT/kEiiSZ5U24mlmBfl6WsDXSxkAfS5wRGYhVNXFha6SNxnYe2bY/9qgYHw3xwocDPUlzMgDwtNRX6vnxIimpb0MHX0C6syojxtMcB+4XyOgL/GwNsCDWDeHOpuAJBEgpbkB6WSMKalqQV9WEp9UtMivxrrD9UhZ6OBnD2UwXBxM0m5Z4nnR1O2nUd7fwxYRA9PEwpzg6AkDfz69iRpQTxofaYf/9Ahx/pNreGyBsnEMcjbDxVJrM7/hRQR1lSsPWSBvzRT4c4tRYNws9vNvbWWGOSlVTu9KAr4KaFmw4marUnE9dflDT8ZZJp+HKh33RzhPATUqU+XjtABjpsHE+pQxLDyaqTIndNysC5vpsBKxT7KgpTfKng1DTxMWY7291ySL9iwmB8LTSR+Cn6r+mmPrWDlKPJQ2XL8CxR8W4mFqOXVNDsXlsAO7kVMt0uioaqB0aZWJTaRdi8fTH5J+UT9/ocOR3AbRZDEwItccWifP/7/nRiPvymtLvp4h3exNhb3tu50MoBPp6muNMMtH1mBTugIqGdtL+fVqkEwqqWyjF6Ow+ztBiMfCVxJbPiYW91HptSX3Jv8E64VXRZc0Hn8/H/v370dzcjMjISOTl5aGsrAwDBw4kj+FwOIiJicHt24or9Pb2djQ0NFD+e105qebJBwC7rnZ+OGdIjVk1tfMonYAWLh8H7xeCRqMh0N6IfPxnFQLEF829vBrSrVIZ1oZaOJ9KvUn1cjPDkblRsDHSxtw/HyB84yXM3HMf/zubjn3xBbibW/NcCg8x9/NrcTChCKvlJG2+DnxwKBEXUsvwz4JoOEqZF+25nY/h397En3dlCzxJZvV2xmiRffOvt/Lw5flMbB7rT27PKGLZIE9MCrcnC4/sika8+9t9vCnK9tBlM+BrY0BxvpXmnV7OOLO4N96OpmqVnrXwUJfpkY5I2zAY51LKKDesCBcT5G0eCgMtFr66kInZfzxQWXg8+ngAapq5ZOq0Kvp5WSB301CkFNdj1Hddy2a5vaIfHhbUUtJSnzeN7TzM3/sQbR18DPaT1SHkSk02VTTK/3wa6bAoCxIaDaQrqDI2jPbDqB3yHWBHB9vCUIdFKWoeFijeStRiKb61DQ+whr2JDhrbOnBItBhxMtVFcnEDtEXblb/czINASFyn3Cz08NONztc10mHhrZ5Ex2L7pSzycRdzPaU/H0AU5eIiRvq6//8NjYuPJ0+eQE9PDxwOB3PmzMGxY8fg4+ODsjJi5W5pSW3FWlpaks/JY/PmzTA0NCT/s7e3V3jsvx0/W/n7pfKIz6/BA5HpUrizCWm+AxCrFG02dQXww/VctHXwcei9SMrjIwNfXRbA6aRS9HJTvfXDFwhlBGSbxvjjdnY1Ru64hXsq1O/Pk42n07DyX6IDkfb1UMXDgjqM3HELc2JcVR8Mwga/r6c5GXf+0408aLMZ2P5mECwNOMitasaM3fdVbs8sOfAY03ffx4OnNVh97AkGfX0DF9MqwKDTMDXCEdeWx+LovChMCles1/jlZh7G77wNPS0mjs+PVvtnlsfYYFuNjt8zswfWjfTFoK+uUxxYt78ZhP2zI9HUzsPsPx5QbiSKyNk0FNsvZamdk7N5rD9+ndEDhx8UYcov95TqZuQR42GOhx8PQNSWyzJ5QC+CupYO/HAtV6VAmc2ko1rBKHG0q5nMv60NtfHLDeWLpbHBtgoXHNMiHXFQQs+zb1YElivR2CgLsXyvD/H5OZRATLK4muuSPjRTIhzAFwjJ2Ii5fV1R1dRO0RK9E+0MXQ4TV9I7NUw/TA1V+rOR7/teAbh8AQLtjRDs8P9vvFYSjTfCPT098fjxY9TV1eHIkSOYPn06rl3rXElIjwwJhUKlY0QrV67E0qVLyX83NDS81gXIvlkRCvcspfnxeg5+mBoGGo2GOTGuWHLgMfmctHNoZWM7DtwvlDEnUydF80VxIKEQ82JV3wilxbGB9kbQ02Jizp8PXtRbU8rmM+l4I8wO+VUtXR5vfB7E59fAw1JP45WwOpbyv0wPQ19PCzDoNLRy+fjf2XTsuZ2PffGFuJ5ZhaUDPPDREdnv42Kui4LqFpk9++uZlbguoakY4GOJjwZ7wc1CD1czKvDpiVTS88Pf1hCu5rq4klFJafU3i5Jrv1HjJq+Mo4+KVR8kgTzztLsr+8PKUAu5lU2Y9XuCyqyXSeEO+HSkL0Z8e5P05lHFPwui4WtjiI2nUvGTihuvPL6aGAhLAy2ZXJkXzT+JxejjoTyN1ctKn9INkETa8GtcKFEsKvL9AYgOlKLiL9zZBN7WBhiy/Qb5WAtXcRdFj8NU2GWJcDGBv50hkSQr0nR4WOrjTHIZOEw6ZvVxwa6rueDyBAh1NEaUqym+OJ9JTijqc5iYJroGi6MCAGCQr6xORhouT0BqVP4/mopJo3Hng81mw83NDWFhYdi8eTMCAwOxfft2WFkRv3zpLkdFRYVMN0QSDodDTs+I/3udiXQ1VX2QiHMp5cipJG48IwJt4GLWadfO5QnI+XWxw+nOqzlo5/HxYE0c5ftEafCaz5vyBtVK/QtSWy7uFnr4/U4+pcDSZTMwNsQWlgbqa2eehYMJRa+08BCTWd4EAy0m/Gyf73n/zm8J5I1fm83AupG+2D87AjpsBorrWuUWHgCxSj25qBf6Sk0rSDM90om4WP+egBm77yOvqhnm+hx8NTEQ/yyIxtdvBuP68ljMj3Ul3Xufhec5Ni3u/FxOL8eoHbdUFh4/TQvDisFe8FhzRu3C4/7qOLia62H27wldKjwufRCD9NJGlRqJF0FVE1dG3yGNo6muWp99XTYDg3ytZAzHpNk4xl9hWvW0SEfckxCqbh0XgHd+UyxeV7a9M68v4cFxIrEET6tbYKjNIk0ZxZ27v+4RBcLi/u5o5vJJwT9AGI0ZarNQIDEKP7evep3IM8mlqGhsh7k+B0P9/3+O10ryzD4fQqEQ7e3tcHZ2hpWVFS5c6KzSuVwurl27hqgo9dL9/ivsmqLeuBUA/CT6wDHoNCzsTzWnETsdCoRC0nTsYEKRjLg1WUlU9Ivm+6vZmBKhfDxSMtMDIC5I0pMJka5mOPqwWK0L2n+NhjYekosbSNtoTdkw2g+TwmW7hSEbLuCoyI68rL4N51LK5IqD/3ynJ3nh/ePuU7yzJwFuCvavxXvpU365h95br+BCajmYdBpm9XbG5Q9iMCbYjux0Gmqz8OFATyzop9p0SRWX09W3G98xORj5W4Yp9MJZvP8xnFeextt7ElSmO99YHgtPS32lUe3SpG8YDBoNmPTTXXKSQhMerx2AKT/fU1tIqwlGOiy1TLlU2dF3KHAjllxAAYSoUofNxNBvbsg9Xoy8qAaAEDsP8rXCxB87u8muFupnakniZaWP3u5m4PEFZPctwI4I8mQz6JgT44qfrueinSdAkL0RerubYX98AemQymHS8bbonBr1Xaf2ZpmEz5MyxM65U3o6kvqp/89o9BtYtWoVbty4gfz8fDx58gSrV6/G1atX8dZbb4FGo2HJkiXYtGkTjh07huTkZMyYMQM6OjqYPHnyi3r//0rkibUUcTChEBWiQK4RATYyH16AGFsz1CY8EXZeyQaXJ8CpRZ3i1oY2Hvp4KF+pviiuZlRiqAY/LwC0dvAppkU+1gYKpyb+P3Gyi861H/+djAlh9tj5VohMl2HpwUQ4rTiF3lsvk9qOQHsjTI90JH1aZuyOh62RFn4XjcYW17UqFDPL20t/M9weK4Z4Q1+LakJWUN2CKb/cUxiL/qJYezwFTitOURxhxRbmmpC+YTBK69vQZ9sV1QeDaOnnbhqKsvo2jNt5G0lFmi0K+nqaI2FNHILWX3iuYmtJ6lo64GKmS4apKUKZyR2TTlPYNZQWpU7u6ahQmCrm0JxIhZ2M+bFuKK3r/Pp3ezljwV5ZW351mNvXFTQaDf8kliC3qhnGOiyysJgQZgcmg4Y/7xJaj8Vx7ujgC/GzRNdqmmg8t6mdR2p3wp1M1DIVu5NTjUcFdWAz6F32svmvoVHxUV5ejqlTp8LT0xP9+/fHvXv3cPbsWQwYMAAAsHz5cixZsgTz5s1DWFgYiouLcf78eejr66v4zv89PpMTxiQPgRD4VXRTYDLoCleJTW086HOYKKlvw5GHRfC1oYpb09RsB78I5KWZSiM5liftfJhW1vnemXQaxgTbykx0vAy2jQ946a/5vBj7/W1klDfi/Pt9KBNRYjr4QtibaOOPd8Lx97wofDrKD+ff74Nh/tbgCYT4/HwmpskZjdVmMbB7Rg9sGuOv8LX/vFuA0d/dQlJRHQBAIBDijzv5GLz9Om5lK/d1UMS4EDuNju/hZIy5fV2hxaLLaIzWDvdBrKcFtowLQLizeiLfRf3ccOhBEd744Y5ax8+PdcX+2ZFILqnHuJ23VTrUSvPhQA+sGeaNMA0ScLtKTmUzLqaVK3WsFW8Hy8PZTFctk8NwJxME2Rth6s+KR64BgK6gFWNjqIXxoXaUrskbPey7VJhZG2phqL81pesR5mSCxMI6MOk0zO3rip9u5KK1g48AO0P09TDH8cfFlGvbLNF47rRfOrfCfp6hnr/T1yK9y8Qe9iqDQf+/QBMKX2TmqOY0NDTA0NAQ9fX1r73+Q1mUtSTaLAbiV/eHvhYLPL4AA766LjewSxw8Z2esjSsf9sX1zErKiiHO2+KZYrifhfmxrhQPkq4yNtgW51LK0Mzlg0YDrA200MzlK/QoeN58OtIX317O1igU7t/GYF8rnE2RP2H22Wg/TJEwNmpo68DAL6/LFJCfTwjEt5ezlN5EjXRY8LDQR1pZAxrbeKDRiOyNisY2mRj2F02kiyl6OBnjm8vZL/V1AUJDMirIFlczKjDvr4cqfW+k+XFqKDgshlJflBeBFosut5OlKpPIVJetln39T9PCCIGnEi+UXVNCMOdP+ZNDG0b7YaifFUJFBVlvdzNUNXG7tND6ZIQPZkY741BCIZYdToKJLhtuFnqIz6vBG2F2WDHEG73+dxktXD5+mR6GWE8LDPz6OplhNC3SEetH+aG5nQdfUXaPhT4H8avjlL0sAKLrMemnu2Az6Li6rC+Z1vxfRJP7d/fG0wtkkZp73a0Scc5MBh0LFXxdQxsPbCYdRbWtOPawWCZRV93Y8BeBo2nX9mGlyapoQjOXjzBHY6wd7gMjHfZLKzwAItRsaoSjxmOwLwpNOwAAFBYeALDm72SEfXYRXJ4Ae27loe+2q3I7VxdTyzGlp6z74pax/jg+n7Byr2vpQHx+DVzM9dDT2QRCIaHNeNmFBwDcya2mFB7v9XHB7RX91E4YBYAVQ7w0/n0fmRuJUUG2OP2kFO/+lqBx4XFyYS9UNXFfeuEBKB5HVWW6qk7h4WKmi/5eFlihQNgsxkiHLfdxa0MtvBFmh4ESWTnrR/l1qfDQ5zAxsYc9OvgCfHOZ6HpEuZoiPq8GdBohQv35Ri5auHz42Rqgn5cFLqaVU8IT3xONt0v+nf5ZoJ6vk2TX479ceGhKd/HxAnlfgwvfD9dz0c4jLlwjA23gJLXtQKeJJmBE/95xJRs8voDcpweAwppWDPFTPfL1IvjyfCYCFeRCaEK6aAvGxVwXn55IVXu64Hny1cVMBNgZ4o0wzW/8z5sTiSUUW31N+O3tcFz6IAYellTxaFVTOzzWnMG6E6moaebC1VwXP00LQ86moVg+mBDPnU0pw8bTaTLfc8XRJzj+uAQH50Ti/TgPsBg0JBbWPZNXS6ijMc4u6a3R1xjpsDAh1A66bPmTNIceFGG/yKtBHef+ve/2xKzeLkq3G+Tx9cUsrD2ejAV7H2pslX7zo1hcTq/AqmOqR6f/Lego+H1L805vZ3QIBDJjt5JsGetPGtVJM7evKyob28lCJ8LFBHO7OJo/q48LdNhMHH1YhMKaVpjpdS5oRgfZwkiHhd9EYtBF/dwBEFk2YiaG2ROu020dpHjeQp8DKyWmemLu5FTjXl4N2Ay62lMx/1/oLj5eIDQajXIDU5ZfUtPMlep+uFOe12ETmgkun1itFNS04PjjEhmhaeYr6n6UNbQpNZlSF3GIl7QNutVLtiH++WYetFkMzO7j8lJfVxouX4DvruR0yRht+q/xOHi/EH/Pj1ZozNXPywLnlvTBAB9LtHB5qJFjHDUjygmP1w4gJ2p+vZWHMd/dQoynOaaLwrm6Ao0GLOrvjo+H+2Dw18qnIaRZO9wHm8f6K3RIrWnm4pvL2fjyQqZa6cIzdt+H66rTCoPSFHEjqwq/33mqcYLx/dVx+PlGXpcTWV8V6nR2THXZGBdihzXHkpUep6gLYGnAwRth9uj1v06h78fDfZQG0inCUJuFd3o5g8sT4FtRZyzGwwI3sqpAowHzYt3wy808NHP58LY2wAAfS9zPr6Xo0sRFw8QfOgul04vVK5a7ux6K6S4+XjAbJYR6qlZGX17IJGfURwVRux8tXB5MdNmQVOjsuJINvkCIfxZ0OkbmVDbLJEq+LA49eP65KVYGWohf1R8XlvbBjsnBeLOHvdyJoBfBb3eeorGNh8X93VUf/ILZfCYdH2jQSRPzw/Vc+H1yDm08+TeNy+kVePu3BBx9WIR+X1wjp1z6eJiTXh97budj2q/xeK+PK3bP6AELfQ5yKpsx+rtbXbb4N9fn4K93e4JFp2H0d7KW2orSVcUsPZgok8+ydVwAfKw104nNEPk2iIt6dbi4tA8WPcM5kbh2ILadSydHL/9rzO3rCqFQ+fVgw2g/uQJnAJgT44pcCe+VsSG2XfY7WRLnDl0OE4cfFKGothXm+hzUtRAF9jB/a5jrcbBHJPhf3N8NNBqN0vUYHWQDJzNd1LVwyS6ss5kuzNTI8urueiinu/h4wbAYdLX3kRvbeKQFMTH50nmBEwhlW555Vc04mVSCADsjyuOJGo74PS8ePK19pouyPAb7WaGpnQf/deexYO8j7L9fKDPO9yLZF1+A3KoXW9Cp47sAAF9osErmSPgICIQgU1e9rPTBYlBf8HpmJZYeTERlYzuczXSxZ2YP/P52OPbMDMcPU0NhqM1CUlE9hn1zAzXN3GfuBnla6uPEgl5YceSJzM+kr8XEYF8rjcdUd0wOxvhQOxyeG6m2qdmF9/vg/QEeGmmKHq8dADcL/WdKSQ5cf/6VBhy+SGwMtTAlwhEz9yjXsNgp6AKY63MwKdyBMuEyOdyhS7ovSwMOJvd0AJcnwHdXiK7HAB9LXM4gRPkL+rnh11t5aGznwdNSHwN9rJBUVEfxlJkfS+jvJAvkv+epFw+w/VJ310MZ3cXHS0CTEc7vrmSjWjRpMTrIhjJyWlrfBjM9qkDrm0tZ4AuEuPJhX/KxmmYuJSvmZXLs0fO9qDLoNKw9nvJcv6emnEgswZUM9eLau4JQqHxLTho2g47+Khw/pe35xXz/VgjurYqDr438DsG3k4LJBFKAsI0+u6Q3ejqboJnLxweHEin5KF0ho7wREZsvoaCGOknjaq6LADtDGcGss5kujs2LwtgQxZkuC/Y+Qs/Nl+Cz9hxaO9QTfQ746rpGCbF+tgY4/rgE286ly9XDSOu0/j+yOM4drVw+7uYq1gB9OymYYk0uyZwYV0pg3PxYV4zfpd64szTLB3mBw2TgYEIhiutaYaHPQU0TF0IhMMjXEjZG2vj1FrHYW9TfHXQ6jZIaPcTPCu6W+qhqake+aOrLx9oAhkpGlMXcyanG3dzurocyuouPlwCdTsNbahrLcPkCfH+VaPtJaz/4AqHM1k1OZTNOJJbAWWoroiv7o8+DwppWLIh9dkdLMedSynAzu4r8t+0rXkEYaHV9xSuJdBeLJxDKdCQUweULYGHAwaze8h08ldHvi2t4/8BjFNbIH6Ed/u1Nip00QGx9vaHClEodxocq7gD2djdDbUuHjC/ImGBbnFvSB8EOxjLeNtJUNr7Y8ejk4gZ88k+K3JFyf1tD8gYljw2jfF/kW/tX4GKui3Ehduj3xVWlx7Uq0I3Ym2hjSoQDZYsl1LFr4WsuZroYHWyLdh6f7HoM9bfG+VSisF3Yzx17buWjsY0Hdws9DPGzws2sKsr5J+56SGbKHJxDDfZURHfXQzXdxcdLQl3TMYBIAC2qJS5k0t2PupYOmRvXtnMZaOvgI35Vf8rjz2P6pCtI7pk+K+LcBTHFda0Kjnw5iB0Rn5UWLl/GbEgstlWHffGFKGtox5ph3modL7lHfS2zEg1tPHhY6mFCqJ2M1fPa4ykYuv0GhEIhKhvbMefPB/jgUKLa700Rh5VoAG5kVckYV60Y4oUv3wgEm0nHiiNJ2HAylXxu2/gA9HZXnagsSS83M2wbHyDTPVTFk3UDcWN5rFI9yRMlEQdJ6wZCm/18itZ/Mx8M8ERpfZvS5N5DcyKx/Ij8NNqVQ7xxPqXT6Xj9KF+8vUdxhosyVg71BoNOw4H7hSitb4OVgRZqmrkQCIH+XhZwNNUhHXAXiraKJbse/bws4GdriPKGNrKo7eFkTDFLVER310M9uouPlwSNRlOYNSGPry8S8+hMBl2mk8CVaqkX17Xil5t5sJCaCHlV2g+eQKh2p+f/M5WN7bAz7vqq6ERiCZnMqQp5pmksBh3bJgTi8JxIWEuNDaaWNsB55Wn03XYF51K6bn0/t68r7qzsp/HX7ZoSijkxhB328G9vYP/9zkjzhDVxmBBmjz/e6al28aXHYeK3t8MR42mOKgVR8PJY1N8dXJ4AKSUN5Bi4JiSsiUNyUT0+fA7FmyqkR6pfJoH2RhjiZ4XeWxVb0WuzGNihwAQu3MkEQ/yssHBfp3W6bhcLNn9bQ8R5W6Cto7PrMdjPihz7XdjfHb/feYr61g64mutimL81TieXUgpIcdej/xedie2/v91TrdcXdz3e6GHX3fVQQnfx8RJZPVS9CyVArBLFY7PSduPypma+v5KNysZ2JK0bSHm8l5tmq8PnxV/3Cl7oHrg46+ZVcWRuZJeD4CSR7uyIMdBiqmUxX1jT9U5QSkkDnFacgp+NIf5Z0As9nGRb3NKjrHbG2gq9NeTx592niNx8We5zir7P4TmRGOxnBYFACKcVpyimZekbBpNdnIcFtQpj2KVpaueh56aLCN94Se33DhCaqtDPLmLOnw9kxmnV8YGZ9ONdTP75xSfTxq/qD8uXPI4uyYZRvirD//bO6ikTKClmzXBvSpDet5OCu9xtWz3MGzQaDfviC1De0A4bQy3kVjWDLxAiztsCbhZ6+OkG8VoL+7lDIBTic4n8oWg3U4Q6GqOotoWcPozxMIe2Gue9uOvBYtDIBN1u5NNdfLxE6KIMAXURfyCYDLpSp0Y6jbhJfHkhEwZaLMpFXVIv8bJ5Xq6n8pgW+WqTIcftvIMlcR4aj3aqS0MbD83tfLiaq/c71GEz8Oc76q3MHEyoRY3LqtPQYTPw17sR8Fby87ia66KotlWht4aYADtDfDEhEAAxwaUIRd9n2eEk3Myqgsuq05THczcNhZZokuVubjWm/nxP6fcXYyPq6kh3PBh0GhgaCH0liXYzVWtiJatCM9MyTXEy1cHNj2KxcN8j3Mh6NZ/1yT0d4GNtgHd/V7xF0tPZBGO+vy33ubEhtvCxNsCWM53bHtJiZHXp42GOCBdTtHXwSe1ciKMxrmdWgkGnYcUQb/x+Jx91LR1wNtPF8ABrHLhfSNHriLsekl2cH6eFqvX63VoP9ekuPl4yH6oZvwwA51PLSeX3yEAbBMkJDAM6DcgO3C9AelkDHnw8gPL8q+p+XMusRJy38qmMrvLt5Wwcnx9NelG8CuK+vIbdM3uoPdqpCukbf1VTO1q5fLXa6S1cPjaeTsP+2REqjy2oaYGFPocinvX95Bw+/jtZqUldTqV6I84W+loKwwaH+FkpTJf9amIgLPQ5yKtqxhSJ8K4AO0PkbxlGpodezajA9F/jVRZBYkoUBJHxBULw5XQRv5oYiMG+yp2ClQXm/Tg1FNkbh6j13p6VXu5m6P/FNdzLq1HbffR5YqzDwrKBnpi/V34+i5h5CkToWiw6lg3ypDidHpgd0eUk5OWDiOvrntv5qGwkuh7ic/qtng4w1mFhp6goWRDrBi5fQOme9XY3Q5SrGfKrmklPpSF+VuAwu7sez5vu4uMlw6DTNDKt+t+ZdAiFQtBoNKwd4SP3mKZ2woBMIAQ2nkoDh0nHAIkL/M3sqlc2Bvgig+723ivAnpnhuL2iH1YN1dwB9HmwcN8jXF8e+1y+V1ppA/xtqSLhkvo2ZJart3pOK21QaFctTYVIRCc5TXAgoVDuzVgd2Ew6vKz0waTTcDGtXOHN40xyGc6nyteQnEgsxQ9TZVeYkhNfF1PLMev3BIWjxGKWxLkjfcNgLBukfrEPAJc/iMGYYDt8/kZgl7b2FsS6YaCvFWYp6QI8T/68W4B2ngDhziavZLz+o8FeaO3gK9UFrR7qrTC75r0+ruDyBKRtuaUBp8uC9RGBNvCzNURlYzupLXE210VmeRP0OUws7u+O7Zey0NjGg4+1AUYH22L3rXzKlNQq0dZ438+vko99MylYrdfv7npoRnfx8QrQpPi4l1eD66J2aoiDMUYG2sg9rq2DDzqNmBq4mlGJH6Uu4q9yi2KAgpXus/LH3af44+5T2BhpY3YfV/wmkXPzsojPq8Efd5/iwvt9nsv3e1JcL1OAKEORP8j8WFeVUx0NbTw8eFor9zk7Y20ZEaoirA21cGROFI4viJarR9LjMBWOBc/r64qVQ7zAZtBxOb1Cbmt+1u8JeP/AY/yTWIJ5fz1UORU0t68rlsR5gMWg48hDzXxnrmdWopXLx/sHHnfJ2OrIwyL03nr5hfrCiNHjMDHEzwr7ZkVgkK8VxRL8ZRBob4Q3wuwRtUW+pkdMh0B+oWhpwMF7MS6I2XaVfOyHqWFd/t2JHYA/P5eBJpFxmDgcbn4/N9S2cPGXKMJizXBvNLR2YNfVzkLnjTA7eFsbIEui+zcuxA4shuprZ3fXQ3O6i49XAJ1OI/fE1WHr2XQIRBf1j4Z4UdwrxbRw+eSH5LNTqeAJhNj5Vgj5fGZ5E2I8Xs0WxYXUcvjZvhhtxMd/J+Pjv5MhFApf2c/3zaUsFNS0YE7M8xmrUzS26W1tILMFo8iy/2ZWFY7MjeqyL0pRbStKFWxXSBLqaIzjC6Jhb6INzzVn5R5jbaiFn27It2GfEeWE92JcsXNKiMxzd1f2x3sxLqDTgGOPirFo3yOVNugTw+zx0WAvCIVCzPnzAcWmWx3WnUiF99qzuCCnO/PhQNX29qX1bc8kAlaXI3Mj8fDjAdg5JRSnnpRQxpBfBjQaYWd/MKFQ6XHH50dj61n5XbDlg7xwIrGE/Peifm5yrfbVYXJPBziZ6SK5uB4HHxDvydZYG+UN7bA10saMKCdsPJUGvkCIAT6WiHI1w/dXs9EoEpSymXQsHUB0yQZIJOluVdMgsrvroTndxccrYpwSwyVpUkoacFI0JmZrpK3Q3lp8Yc6pbMb++AIM8adOYyhSmr8MXmTM+h93n8J55WmcTS57Zc6u7/yW8Fz9TeSRVtoAZzNdUkCpjMSieize/xj7Z0fICEyfJ6uGeqGVy0fQ+gsKj1Emuhz6zQ3svVeAd36T3aYY8/0t9PeyxEeD1dtSi/U0x/9EN4tt5zJkCogIFxOFX9vfywIzopwUPv/NpGB8fv7fEQK3860QhDqaoK6FC6cVp/Dn3YKX/h6WDfKErbE2VhxVnMgb62mOUQqKiTBHY4wMssFHRzq//llu2ov7u0MoFOLTEykQCoEoV1PczSV0OR8N8UJ8Xg2uZFSCSadh5RAv0p5AzJw+LrAy1EKyROE/LdJRLUFyd9eja3QXH6+QQ2q65QHAF+cz0CEqLubEuMJCXzbYSDJ07quLWahv7cD91XGUY8KdFV+AXzTSCbzPmzl/PlDq7Gpv8uJXJGNDbMFWo02rDl5W+jKmRudSyhUKKKV1PY8L67DiaBIOvBfxwjQ/43beobTNxfR2N8Nf78qfvtk/OwKXP4iBl5U+qpq4lEj5rycG4e/50XA200VpfRve+OEONktMQSjCy0ofu2cS226HHxSRkw5i+nqaIz5PvuU3jQZcSq9QGvS2SMJ/Qpo1w7wxP/blmUnN/eshnFacQvgmzcaGnxeB9kaY3dsFfp+cU3rcGAWZViwGDZvH+uMtCSfTP9/pqbSQUcbi/u6wNNDCqSeluJ9fCy0WHWwmHS1cPoLsjTDUzwobRZEAUyMd4WKuh+0XO9OOzfQ4mC3qWg7/9ib5fdeNUM+Vtrvr0TW6i49XSA8n9QuBp9UtOCAyWtLlMGWEdNITFzXNXHx/JRvm+hzKuKaiC/DL4HpmpVwviZdFpIup2sd2dQTT3UIf96ScZrtKelkj3o52Uvv4/OoWeFpSOz+3squx/kQq9sx8eXqYscG2eKeXM95S4G9R39oBF3M97Jgsu9XSx8McQfZGOLmwl0ZjzGdEEed3cqplDL0iXEzwIL9WxqdDi0VHzqahOLu4T5cnwkYE2uDd3i4YH/rs9vOvAzQa8MWEQOy7r3y75euJQQoLtnl93cBhMhCfT1yLzPU52H2ra+nItkbamNvXFW0dfGw+TRSp/b0scV3U5V0zzBuHHhQho7wRhtosLO7vjqzyRsqY9PsD3KHHYVIyZd6LcSGnq5RxN7e769FVuouPV8wNDSYlvjifQeYijAuxo+goWjv4MNWlCgx338pHQXULLrwfQ3nc3eLVOSHez5cvcHxRSOpA6lo61PbN6OrUx//OpqOqqV2tkVd1+OZyNt6Lkb/NJs/dM6O8ES5SOT9nksso6v2u4mCig4tLY5TmlMyJccVAXyvM2C0bHCY+P9/74wFWH3uCuC+vyRwz4tubSCmpR00zF5VyXFkVva8HT2vxtLoZk36iTvsE2huhsKaV3NuX5P7qODDoNHhY6slY3YuxUmHc9cWEQAiFQsQ+h9/v68CqId4w1WXj47+TFR5jpsfB6mPyuxhuFnqYF+uKPts6PTS+fysEl1QYlCli/ShfaLEY+Ol6LorrWmFjqIXKpnYIhMSIrKeVPr44T2hOFvd3h5EOmzKJ5Wahh4mi3KKxEmLnFWpu9W0XOVF3dz00p7v4eMXYm+govPBJU9vSgZ0iXQGdTsPHw6ijt3yhkDLVwuULsOVsGuh0GjaN8Scfz6poUvsm/CIw0dUsW+NZkBSB0mk0vNnjxdu+L9j7CD2cTLCw3/NZCf1wLVfu47uu5eDj4bLj17lVzS8kgE+Xw4SbhR4eKZmq2HUtB3P+fEB5jE4DLi6Nwd1V/UldhXjqAAC+fCMQ55b0gZOpDorrWjHsm5vovfUKKhvbYWmg/LNhostGQU0Lxu+S3f5xt9ADh0GXmwd0/v0+0NciRmkPPyjCsUfFcr+/Ir8SMdN/jacEocnD7RUW+8+TSBdTvN3LGcEbFOt7AGDzWH+FHiybx/rj6MPO3/WCWDdM6GJqbZy3Bfp7W6Ksvo3cZotyM0N8HtGJWDHECzuv5qCqiQtnM11MiXDEg6e1lFHvVUO9wGTQcSOrUw+3dIAHaDT1uh53cqvBYtAwt7vroTHdxce/gItLY1QfJOKbS1l4Wk0o+Hu6mGKIX6cZUl1LB/SlNAKnn5ThSkYFJktlrahrGPUiqGnmahwK1hWG+lvhI4kQK1cLXfi+oKkbSTLKG/H7nXzRSuvF2cBXNXFx9GERFskZ3VY2JtrVwjOtlLBjP6rgRi0PHTYDVz+MhZuFHlgMOt6Pk50Y6eVmBk8rfRyf3wvhUluRTLriS9S+WRG4uqyv3LRcIx0WwpxMyNa+JF++EQgP0fZUdkUT1h5PkTnmczWm0Rh0Gu6IbkCKiHI1Jcc9X2fM9NjYPimI7CIo4uuJQQo9Tt7q6QA/G0OslNB2qCoulfGJSJOx9Ww6Wjv4CHYwQlJRHQBgWqQTGHQafhaJSlcN9QaLQaOEx0W6mCLW0wJCoRBTf+n0IVF30SDuerwRZv/K07ZfR7qLj38Bhtosyp6zqqJ73T8pEIrUpSuHeFMEjvWtHTKeHmuOJaOFy5PZ4olyVV8D8by5kVX13F5fUXrv6SdlFJvmk0mlcm80ynCRulEri4WX5NMTqahp5uIPNcOo1GHtcB8Z0WxKSQNyKptkckaa5GwziNHS0JF1+5tBGh0vRp/DxIWlMXAQiV3beXwErj8vc9yY728jo6wROhwGOCzquassxXjmnnicTiqVK75u7xBg/33ZKZDBvlYYKxJC8gVCfHgoEa0d1FW6n60B9DjKf0cLYt1walEvpccAUCsF9XVg+5vBqG/pkBHySuJkqoPvr8oPjrM04OCjIV4I/LTz779vVgQ+1vDzKGZJnDvsTXTwsKCWLIZ9rA2QWd4EQ20WFvZzw9azGeDyBIh0MUWctwWuZlRSNG/iDBhxzgtAjNZq2vVQ5N7ajXK6i49/Cbtn9iD/X6hCbnAlo5J0DnUw1cHMXk7kczyBkCxMxBTXteKrC5mwN9GhrDRu51S/0or9dk41Jeq9qyQW1cPLSl9lku7T6haNV6EhDlSB7OEHRWpHsvf/4hoW7lNuO60J60+mYsVgb2hJ3aBPJZXCzUJP6SipJCklmo09L97/WO7jWiw6fns7XGFac2M7j9RMCARCig/I+3EeuLasL1zMdFFc14rxO28j9vOruJFVJfPzSbN+lC96u5uhrUOAFUefyL0htnbw5X6OJN0qf76Ri8eFdTLH/DA1DHP+VP5323ElG4O/vqH0GAAK3VxfJxb3d0cPJxOK/4U81o30VejGu36UHy6klJN2AP28LLD2uGLdiDKMdFiYE+MKgUCI9ScIf5Oh/lbk73pRf3fkVjXjn8QS0GhEkSEUgtL1GBtsCz9bQ7Tz+Nh0uvPxN8LUEw53dz2ene7i418Ci0FX6AIpj3X/pJDi0wWxbpQbojwHyF9u5iG5uB63V1AnMdo61MvHeFHIi3rvCulljfjrXgEm93TAH++EY9v4AHwywgcbx/jh1xlh2DUlBFvG+qv+RlIcflAk0+2YGa3e36mxnYf86pbnmsA7f+9DrBwiKzTddDqdPB9eFmZ6HNQ2cyl+CdK4rjoNLk9ACYkbF2KHxXHucDTVxdF5UQh3MkFjO49M+B0eIN/FFyBcKKdFOuG3meGYKWcSSJnR3MWlMWRXMLuiEV9ckPXt+G5yCNafULwa97UxwI7Jwa/MT+ZlE+liikX93eGx5ozS436ZHiZXZAwQ3abe7maUlNq3ejp0OXTvyzcCocVi4HhiMR4X1kGXzYCBFguVje1wNNXBlAgH0nRtfIgd/GwNcexRMWUM/wPRtODUnzu3W04uVN3JArq7Hs+L7uLjX4Q4V0CMskmv4rpW7BS1OPW1WKQ7nzzYDDoEQmDF0SQIhUJ8PTGIfK66mYs47xdjf64uz/PmvPdeAab+Eo+jD4vBpNPgb2sIdwt9WBhoIbFIvnMoQNiJK0K6+3Eru0qjEK9bK/rhj3ee36hrXlUzl+kHpwAA1ENJREFURsix2Vf2870IimpbseTAY5XHSd64gh2M8MUbnXoKIx22jGne4QeKLdEt9LUgEAghBHD8cYnM8+VKBKLiFapAIMTyw0ngSuXDeFnpI9DeUGlOyc/TwzA8wAZ7ZymfZgpxMFL6/OuAtaEWtk8KwldyijRJYjzM5ZrEAcSE04bRfvBZ2+kJcvC9SIXHqyLO2wL9vCzRwuXhf2cI/cnYEDv8/ZjYelkx2AvnU8rxqKAOOmwGPhzkifrWDnx2qtMBdm5fV9gaaaO4rpUy7uunRqyBQCDEptOEZ0h31+PZ6C4+/kXQaDTK9ouqac9vLmcjr4oQjk7sYa/QwpxGI+yDk4sbsOd2PkYH21Kev5hW/tySWbtCfWuHRnkm6nAntxofH0/ByB230HvrFYz9/jb2xXdqAKR/Xg8JfwzpLd+2Dj7lInM7pxqbNeiipBTXo7e7uVpeEupk8Oy5nY/xoXYv1LlUGV9NVCzG/GlamFwNBgBwmHQcmxdNeSynsgnvH3ys9mvvuJKN2X88wGenCE2NNMpM5oZ/ewPJxfU4/LAIDwvqZP7OP08Pkzv+K2ZsiC2sDYnzYOtZ5cZnLztn5UXw07QwVDS0Y8cV+ToOMQEKNFcAsG1CAC6ndxZzg32t8Mk/XdN5AJ0i011Xc1DW0AZ7E20U1LSgrUOAHk7GiPWywBaRKd2cGFdYGmjhqwuZqG0hBNj6HCbm9iUm4KIlMmkuf6Ce6P/Yo2IkFdVDj8PEEjni6W7Up7v4+JcR60mNoFflc/OJSHzKoNOwZWyAXHOsdp6AFL59cT4ThTUtSN8wmHKMk9mrG70FiDyTrho9aQqHSZcRGXpKtNGltQJppQ0y4XjqiNLEfHOZ2B/eOMZP5bFcnkCtUeTpv8ZjjFQR+SzYGmmr7f/y/oFEuY//syAaA3wssW92hFwtTztPQLr0AkTR+e5vCWhs4yHU0VjpBNSN5bH4amIg2Ew6LqaVY/etfMrzyrYsv5oYCAt9DnIqmzH825tYfpiYgJL8Oy+IdUNNMxdtHYqzY8Sj7R18AfarMNl63dk1JQTOZroUx0957H23J769LL84mRbpiHBnU4qF+qggG6SVdi1q4f04D9ib6KCwpgU/XCdEoj0cTXAtk7BN/2y0P369lYfiulZYGWhhVm8XJBfXU5xrlw32hIEWi2K9PzXCkRy7VkZzOw9bzxGFzfxYN7UtErqRT3fx8S/kzsp+5P+r6n5cz6wk28R+toZ4V4H4r7aFC20WA60dfKz5OxkcJp2igUgrbaDEq78KbmZXUUaHXxTScexjQ2xJvQFAdD6MJUZkn9a0yIg5ldltS3MruxqPCmrVNiEy0FJvQmL7pSyFz02J0MzPZNVQbxybH/1M/i/ibQxXcz18NFj+NqD76jPo4AsgFArxwcFE5Ik8SYLsjXBDlN4szfpRvrA30cGYYDv8Or2HzPN+tgYw0pFfsA0LsMaYYDucXdIHA5WkKy/o54aROxSHmk0Ms4exqCi8LGGI9WYPWYHiUH8rlb9HRWnE/wY+GOCBgT5W8FVhn751XAAmK3CxdbPQw6qh3hQL9gOzIzD3r64JsG2NtPFejAuEQiFW/52Mdp4A/raGuJVDnDPvxbjARJeN768Q4uPlgz3BYdLxsYSo1cVMF5PCHSAUCinjwOuVmOZJ8sO1HJQ3tMPeRFuu3qgbzeguPv6FWBtqI0yDQmDDyVS0cInRyiVxHnLb8UIhyFXntcxK/JNYgjfDqTcoRfHqL5MzyWWYoEHo3rOix2FibowrLqV1roRsjbRhLHEzq23mQputuiBQNqXx4aFEpTc3SfKrW5S2stVB07Cx9SdT0NTGeyb/l/G77qC4rhWVje1YdjhJ4XHuq8/gh+u5uJhWDjaDjhlRTkrttf95XEL6lvyTKOsxEuVqhh0KVt+nkkrx3ZVsGGmzsFyBa+U3k4KRqmI1/v6Azhb7hwc7Oz/yJmr6elogyF7551dRGvGrZmSgDRb0c4P/OuWFR6SLKb66KF8LwmLQsP3NIBySSLwdFWSj9JxQxYbRhJPpsUfFuJ5ZCTaTDiMdFsob2uFkqoOF/dyx9Ww6mtp5CLAzxOggWxx6UEgxxPtoiBdYDDrWSWz7/DQtTK0uZnFdK9ltWTXEW+Nx9W5k6S4+/qXs08Ceu7iuFd+J9mW12QyKm6kkkhe89SdSUdfCldl+cX7F2y8AcOhBEcYpCKV6nkS4mODkwl7YeDoNLRKTIpEupsit6rwJZ1U0Yfqv8TJfL20O18EXKkyczalsRlppA4x1WNBXo7NRUtemcuT0eVLe0I6IzZoHlZnrc3BYIiAxestl9Nh4kfz3qqFe0JUjzhXvyy/s54Yfb+Qq7PBpsxhIeFqLiT/cwZknpZRMDjE/Xs9FawdfZosyWCT63HYuA+/9+YCcgJA+7npmJcVaW5oIFxNYif6uLVweadUeZG+EA3Ii5cMcjVFar9if5N9KpIspto4PwOq/kxU6lIoZE2KLUgUBh8sHecHSQIvi4RHraUHx3NEEsci0qqkd60V/w74e5riZTXQ9No7xx8OCWhwSCZU/GeGD+tYO8hwDgHAnEwz0sURTOw+/3XlKPi69naqI/51JRztPgHBnEwx+Cd3Z/w90Fx//UlgMOpYraF3LY+fVHORWEqNrvdzNZMZDpZNWq5u52HQ6DVosBjaM7tQi5FU1axTA9qI48rBIxjjredLb3QxsJgN9P7+KqxmVlOcOyZm2YDFkV0etXD5lq4ovEEJPRWFxYWkMGYKmjKqmdo3+Dm+rOf4riTpFkCoqG9tR3czFVlGUvSSrhnphdh9X/DQtTGHSb3JJPSob5Y9bn1vSB0fnRcFcn4P0skaZlr2bhR5l6kiygJkW6Yhj86KxZaw/2Aw6LqSW45oobEx6r17ZdA0ASojjXQk3U7FVvCRsBh0OJjqUYlYRR+ZGynWnfRX42xrix2mhOJ9ajr33lHfNDr4XSepmpIl2M8U7vZwR9llnAXpoTqRaU1HyYDFoWD+KuD6t+ycFdS0d8LTUR15VM4RCwq8j1NEYq0SuqVMiHBDqaIJt5zNIkSkArBlOGIr1/+Iq+ditFf2gDg+e1pKeIWuH+2ik9+pGMd3Fx7+YuRK5JKoQCDvFpwCweqg3xfuDyxfIaAkOJhThdk4VpkY4Uh6/k1sNawUr+JfJwYQiuRf458GNrCoy+VIVTDoN91fHwcOSKsisbm7HMH9rymPGCrQHAOERYabHgZ2xjlorrorGdrVFbRfSytQ6TpJv3gxWfZAaLD3wGIF2RjKPz+5DnL9Rbmb4ZlKQXPG0orHWmdFO8LTSh7e1AaWzIoZGAzaN8Vf4+/5QVDC8Ge6AQ1JfX97QWeyoEwAoOWotKXSVV7zZGmuDyaDLaDqG+suult/9LQF9Pc3x64wwjRJ8nzcuZrrYM7MHnla3qNQy7ZoSgjd+kJ/FYqTDwhcTgihpxkvi3BWmG6vDxjH+sDHSxvmUMpxMKiWCAK30kVXRBGMdFlYP88a3l7OQX90CSwMOlg/2QmJhHaWAmhHlhAA7I6SVNpB/+x5OxmqNyQoEQrJjNiHUTq1x3G7Uo7v4+BdDo9Fw8D3ZC68ibmRV4WwycRMy1mWTY2lihELItMBXHn2C5naezPaLtAfCq2LP7Xy5or4XhbTnBABsGusPIx02mtupq9mGNh5cpSZE7uXJZomISSlpIHN5ZqpRVKWUNCjsCkhTWKN5m/8vJSvceX1d8WTdQLW+TzOXj0Ffy7pfrjzauToe7GeNQHsjtd/bWjmBeZL0dDZBUlEdiutaZdKcAeKmIUbR/vznEwIRpOI9LYlzp6x0JUWxhXK2EcSeNdITS15WssVFbUsHxn5/G4cfFGF2Hxd8NzkEywZ5YmKYPaLdTF9K+rSFPgd/vNsTLVy+ysmWuX1dlTq/bhsfiEcFtWTWDZtJh4EWq8vXkn5eFpgQaoeGtg5SODrYzwoXUolr3Kqh3qhobCeDFz8d6QddNhNrJBJ3rQy08MFAQq8zZHunI60qnxYx/ySWkEZmHw5UvxPdjWq6i49/OeHOJhqFL316olN8OjzAGv28Okd3G9t5pGJfzNPqFqw/kQotFlUrQpiPUcd+XxX77xdigI9llzUQqgYL9DlMLB3ggSfrBiKznOoTocNmYKCPJbg8gUwhwGbQNPbaOCMqDiNdTV/5qN7FNMVmWrUtHTLbUZqyL74QZ56UAgCeVjcjQ4kHhyRXP+xLueEv2Cu7Gr+bW4PPThFmT/LEm+N33UFRLVEc/HKTuDlJj3Lviy+gjGHKY5BvZ8dCckx4kK8lyuUUhuJzzVPKAfXnG7mI9ZTvvnr6SRmWHHiM+XsfYtu5DBxIKMSt7OouO4Cqi6kuG3tnRUCLSUfvrVeUHutlpY9EOVb0Yhb1c0OoozFla+zvedGkRqMrbB7rDxqNhs2n00lhaVVjO9o6iLyWsSF2WHn0CXgCIQb5WmKwnxX2xhfgSXGn2d66kb7Q12Lhr3udOo9VQwnhqSpauDxSNzIv1g0WBq++G/xforv4eA248mFftY8ta2gj5+5pNBo2jPajdDuK61plskkOJBTibHKZTPLtxbQKRLu9ev0HAFxILYeXlYHC96PMJE18b/K3NUSspznGBtvijTA7zOvril1TQnHu/T6wMtCC/7rzMjfcmdFOMNJhI6WknsylENPC5VNCqcSIx3Kt5FysbolEcjQaDZPDNRuHfVY0cVndF1+AhRqME4uJdjNF2vrOLtrcvx4ir6oZHxxMRAuXj3Bn5fkzb/awp3jOXMmooNxM5CGZ4Ds/1hXWhlrIrmjCmO9v41pmJf4WOaGaSp33D57WUkSJ8vjoSBLpS5EvIUKO9bRArRyTM3GgX09n6nna0MbDWz0dVYZGvizM9Tk4NCcS1oZaCJXQZyhiZrQTbufIT+/t62mOxXEeCNlwgXzs6LwoDP1GdfaNIr6aGAhLAy3cyakmzQGj3cxwL68GbCYdG8f44Y87+XhcWAd9DhOfjvRDVVM7xfwtztsSg3wtwRcIsfpYZzdEvB2oih+v56KsoQ22RtoK84u66TrdxcdrgA6biVVD5Y8JymPn1RykisLDbI20KSOGQiHQ3M6XEVCuOJqE8oY2ZHxG3X65la04Lvxl87iwDndyqjFHjhamtYMPNxVt6ifF9biSUYmjj4pxMKEI31/NwZw/HyBqy2UsPyIroPO3NcTCfoQg8FRSqczzSw8myhXn9XYnVrgG2rKagIT8WnIFPTJIcYbJi8DFXI90d3xR3MmpRlJRHS4u7UM+Fvv5VSQ8rYUeh4mPBnsq7WBJXuR5fAFmSuWFuJjr4uwSxYLdpQM8cXReFLys9FHZ2I7pv8aDyxMgyN4IFyWMpfbPjlDoxCpJUlE9Rnx7E1+cz6BMa9gaa8sdsy2oaQFfIESkq6lM8fnu7wnYPyvileo7ACJh9vCcSNgZ66j08gCAv+dHU4zCJHEw0cHXE4MwY3fnNNii/u74+O+uhcYBwEAfS4wOskUrl09u3Q0LsMa5FKJruCDWDVosBradI+zVlw/xgpWhFracSUdjG1H8cZh0fDrKFzQaDe/+1nkO/T0/GupQWt+KXdcIz5CVQ726R2tfAN3Fx2uCdLWuagW19OBjcq91SoQjOXYIEDdqSSdUFoOGupYOfHAwESw6Hfuk9kOVOU++bARCYNe1HLluoeLE2hGBNjDSeba8mCB7I/z2dji0WAxklTfiZwXhafIyYcRi3frWDtibUJ9v7eAjWbSSdzXXU1kwdQVFScFfXchUqp9R1j0a6GOp1nSMQAgs3PcIRjpsfD6BasP+8XBv/HwjT6mL6ICvrqOxjehkHH0o6+mxaog3jsl5HCBMrxh0GqwNtXFwTiRlWqi8oY0cHw20M0SEi6lKe+xlgzwxyNcSPIEQ317OpuSRmOiywZAzAdXWIUB6WQMYdBrmx8oWehN/vIveHmb4emLQC/nbq8LOWBtH5kbBxkhbZVgcAJxa1Aujv5PvT6PFomPXlFDcy6shtTB0GmCmx9Y4OVmSjWOI7ZavL2Yiv7qFKOKEQFUTF24WepgT44q1x4lx4FBHY7wV7oCE/BrK1NKyQZ6wNdJGZWM7roi6mbpshkqNj5htZzPQ1iFAmKOxjKi8m+dDd/HxGiG5/SJv1SVJelkjvhXZejPoNPxvXACl2yF5A2Az6GAxaLiZXYVfb+Uh0tWUUnDcyKp65eFz0qw+lixyYpR9XycSS8DlCTCrt7PMyLE66LAZCLQzxLJDiYjecllhlPipRb2w861QmcfFhU9TG0+uoj5LIna8r5IUVkk2qOnCCMgfCwaIkdKYbVflPsdm0vHDVNmfRfz9dkwOwacjVb8HBp2GisZ2LDuUiHEhVPv3324/JTUvyvBfdx6tXL5MNyrEwQg9nEzw511i/17aiM9FwlXUQIuF+RKJo5KeFG+Luiu/KjE2A4iC64epYdj5VohMQZdX1Sx3Ww0AzjwhfsZJ4Q4Id5LdZvrhWi6WHHiM7IomeFsbwMtKX64XyrMgr/j2tNTHoTmRMNfnwH216sLjj3fCMewbxSLU/40LgKUBB+/98YB87Pj8Xlh7vOvZLTsmB8Ncn4OkojpyS3NkkA1OibRDm8f640JqOS6mVYDFoGHzWH8IhEKKyNTXxoCckpP0nLm9kprorYjHhXU4+ogocNeO6B6tfVF0Fx+vEc5muir3zCX59nI2KRLzsNTH3L7y45+buXyYiy6uW89mILWkAX+805NyzMW0crj8CwzIJPniQiZyKpsoKb1iCD1GHk4klmBSuAN+nBqq0Hpe3tf+ducpLqVXoLhO/hTJPwui4WtjKDenwkKfuCm18QRkEJkkWRWdwsswJ/WcbCWNkVRRWt+mUmQrDZcnIH0wpDHSYYNBp2FMsK1C0aQYtmjM9EpGJSb+eJfynCoXUUm8156VeWxhf3f8dicfzVw+vKz0kSDlyDtzz32KKPJEomzqLUA4kAKdnTJFOJgSYuIh/ta4tDQG+pzOzs+CvY/wpYK01z/vPUVTOw9MBh07p4TAS0p8KklaaQPSyxpVmnppgoelHuokPC4AQotzaG4kjHXY8Fwj+7uV5uuJQZj6i6yxnpi3o50xIsCGohc5NCcSI3Yon5hRxjB/awwPsEEHX4Dlh5MgEBLCXrEwelK4Azws9MlgurkxrvCw1Mdvd55SAgU3j/UHk0En9VUAMC7ETq30bKFQiPUnUsivCZAzQt7N86G7+HjN2C+1JaIqI+KDQ4loE4WozY91lfGqEFPe2A4zPTa4fAGWHHiEtg4+kj8dRDlG0vXz30JOZTOWHHiM798KwfRIR5nn23kC7IsvwOw/HuBKRgUW9XPD3lk98c+CaOyYHIyPBnthSoQDxgbbYpi/NYb6W2GQr6XS32uctwV5URJnS4hhM+jkRY5Bo5GBfpI8rSa0A/lVzdisQvAoRtWNUpqdU0Lx4UDNUjd/UbC1VNnYjoMJhaDRaNikIs23tYNPjpnGi8aOn4dXS4CdIaJcTfH7nXwAhKW6JC7mumhs42HKL/eQWFgHHl+AM8nEanmblAHakv2PyDRoMfLShCf9eBcFor+VoQ4Ln6kRDAgAdS0d2CiaxDHV4+Dw3KjnGgKoDB02A5nl1HNlbIgtds8IB4NGg9fHqguPlUO8lJqChTubYOVQL4peZNkgz2fSeeiwGWTGyo/Xc5Fe1ggjHRYsDbSQW9kMMz0OVgz2wpazaahqaoeLuS7mxbqhvKENW86kkd9H7OkhFAop/iKfT5A1wZPHiaRSPCyogzaLoZHJYzea0118vGbQ6TR8O6nTHEpVRkR2RRO+Eq3QOEwGvpkULPdCyxcI0cLlg82kI7O8CVvOpEOPw8RP08Iox2nSeXmZzPvrIVJLG3BkbqRCZ9CcymZ8czkbk3+6h/E77+CbS1l48LQWLVw+WAw6OvgCZFc04VxKucLfqz6HiY2ikeSmdh6OP6aurt0t9cjpCyMdltwORF1rBy6klmPEjptkIfK8Katvw5QIR6U6Dk3Ydi4D9S0dCrcaJKmQGkFVNSmQ8dlglYGCC2LdcD6lHFVNXFgacEjxIUCsjv9Z0As9nIzJAmTP7Xw0tPFgrMMii28xVzIqEfv5Vcpj8rY9HhbUYdDX1/HzjVzw+AKKvmdqhKNc4zAx++ILSMGiHoeJryYG4di8KIwLsZNbkD4rYi2DtLPqon5u+GJCIFq4PLXEpe/FuCgdsXYy1cGuKaFYfjiJTIb2szUAh0mndB805cs3gmCqx0F2RRO2XyS2i8eF2JGTLp+M8EF6WQP2xRN29pvH+BP2AKfT0MEnPqsW+hzS02PVsU6B7I7JwWptnbR18LHlNFHIzOvrCsvu0doXSnfx8RoyIpA6JaHqBvPD9Vw8eEqsQr2sDLByiPzJmRYun1zx77mdj6sZFRjgY0lJ6IzPq8HwgH+nAOt+fi3G7byDwX5WODI3UiaJVhIuX4DM8iZcTCvH0YfFOJBQiPOp5TKrRkk4TDr+mtWTvCj9JscjIsLFlDSfsjTQAld0YZS84cTn1WDW751R8i+CH6/nwlCbBQ8lLf+fpQpLZdQ0c/HVxUxKGqi6KPOQWNTfHRwmA59PCISnpeL3GudtSXo1jA62pWyHvR3tDD0OE7tnhpMFiNgDJMbDnGIMtnmsv4wBGAAZW3wrAy1EuJigtYOPz06lYcz3t1HV1DlaW9HYhu/fCpXbbROz5Uw6nFacwufnMnAupQxtHQK8FeGA398Jx8fDfTA2xBZeVvrgyFkMaMKwAGs8luPB8f1bIVg60BM5lU0IWn9B9gulGB9qBxpopEmYNCa6bOyZGY5LaeU49qhT9LtlbAD5++4Ko4JsMNjPClyeAO8feAwuX4Cezia4mlGBDj7h4THAxxIrRQXFpHB79HQxxY2sSkrxv36UH/S1WCipayWLFAAYHqDeVNlP13NRUt8GG0MtzJJjNtjN86W7+HhNebAmjvz/1g7V+8UfHkpCq2hVNCPKCX2l9u45TDroNGoB8uGhJFQ3tePSB30px55MKlW5Un2VfPJPCsbtvIOZ0c64uDQGb/V8dj8NLyt9nFzYi9xuyalsIkf9JBnka0Uq/X2sDVDVRHQBjHVl95tnRjvJ2Kw/641I3JkormvF5fQKhcZQ4U4miPOxVDg1tbCfrD5oz+18XEyrkHN011ksyjbR5TDx4zT5gleA0Ivcza0BnQZwpAyieohEnZIFiBgzPQ7OS4zYvhFmjyNzo2S+v0BqAMffzhD7ZkXgf+P8YaDFxJPieoqw8lxKOfgCIT4Y5Kly63PHlWy898cDTPrpLsZ+fxtjv7+NDSdTcfRhMdLLGtHeRQfQwb5W0OcwZcbAXc11cXFpDIb6W+NKegXivpQvmJakr6c5guyNyG6NNFosOn6ZHobWDj4lnfbmR7EqnVGVYabHxjqRE/MX5zPwpLgehtos6GuxkFPZDAt9DjaPDcD3V7KRW9kMc30OVgzxRkNbB5Yd6nwfYk8PAIjacpl8PH61eiLT8oY2fH+V+Nk/GtI9Wvsy6C4+XlNM9ThYJOcGoYi8qmZsPUfoC2g0GraND6SYjbXzBDDRJUSn4i2HqqZ2fHQkCUKhEImfUK22zySXaezu+bJ5748HiPvyGnq5mSFt/WDsmByMYRp2bexNtPHZaD8cXxANd9HKXOwfIY2ruS56OBmTaZuB9kYoqiVW6NL259vGB8gkbwLEts2zEOXaueUkORoqTXJJPQqqWxROTS2J81CoDwKAlE8HyWQCdQXJkW9HU8WCZvENLtbTAt+ITPQAYkuHLvE99DhMfDsphPy35Ii0v60hGHSa3ORmaWFxWwcfNBoNE3s44NIHfTEp3F5mC233rTwYaLHkhuq9SHTZDMzq7YyzKWVkwq6Y4QHW+GdBL7hZ6OGHazmYuee+gu/SSYSLCYb5W1MmRiSh0YDtbwbD1UKPYlF+cWkMev1PuTOqKr6ZFAxjXTZuZFWSkfVD/a1IkennEwJR1dSOnaKiaN0IXxhqs7D+RCrKGjonmMSeHl9JiIDnx7qS4m9VbDuXgdYOPoIdjDAy8OX67/x/pbv4eI1ZKpU1oCg5VMzuW/lkKqe5PgfbxlN9GOpauDKR8BfTKrDrGtHC//6tEMpzLzPy/VmY+9dDeK89i7L6Nnw60hc5m4bi5MJe2Do+ADOjnTDU3wo9nU0Q7mSC3qJE4FVDvXByYS9cXxaLKRGO4DCJldATkemUuKiQZOkATxTXteJxYR1oNMLOW940DAD8cfcpjj4sBoNOoxQMycVd90cAoLBlLk0Ll48+2xTfOG5mV2Fxf/mC1cG+VtDlMPHhQE+5Wxia8OP1zpV2gRr6F0m7cwBytwBzKuVvnak7WQQAFRLhc+ai1fepRb0pxmSfnUrDG7vuQCjESxOUrh3ug2bRJJckNBpR0H47KRi6HCam/nJPLTFzLzczvBFmT+lmSPPJcB8M9LFEwLrz5GO/TA/Dgr2Kc17U4f04D0S5mqG6qR1LDyYCAIb4WeFCKtFdmxnthChXU3x0JAkdfCHivC0w1N8KF1LLKZ4ea4Z5w9ZIG9VN7dh+KYt8fNkg9YwZnxTVk9+vO7X25fH8lU/dvFRur+hHthml7b/lsexwIs4u7gNdDhOxXhaYEeVE5lvwBELwBEKY6LJRI2Edve1cOvxsDTDUnwgHE7fyM8ubMDbYlpyJ/7fz2ak0fHYqDV5W+ni7lzN6uxMXXnUoqG7BD9dzFIax9XIzw1B/K3x6gsiy8LE2wNy/Hsg9FiCcM410WPhuMlHQKbKuloeXlb5CcZ+kn4UYb2sDhUWQIt4/8BgJq+PgaamPDKm8mzYesX1nqMPCon5uWHei6/kdm06nY1yIHUz1ODiYUKjy+P33qb9/eaZRjwqIEdx+Xha4nN65TSRpw64K6Z8ZIH6P8avj4LTiFPlYfH4N4vNrKB2cF8HnEwLxT2KJ3KyUSBdTbJsQADtjHbRwefBZq1pYChBakYE+lli8/7HCY97t5YwZ0c7wlRh9ntvXFbdzqpUKTOm0zlgDefRyM8OCfm4QCoVYdjgJlY3tcLfQQ1M7D1VN7fCw1MNHg73w7eVsPCogLNTXj/JDbUsHVh7tFJNKenpIjv3e/ChW9S8AotHak8Ro7ZhgWwQ7vBgNVjeyvB5L124UYmOkLZPJoozCmlZsOt0pDlsxxIsi9KtobIepLptsMbMYNAiEwKJ9j1BY04LjUvbERx8VPxdNxcskvawRyw8nIXLzZTitOIW5fz7AjstZOPaoCFfSK3A7uwoXU8tx8H4h1p9IxeCvr6PPtisKCw9bI21sfzMI+dUtZCGXUtKg1OUxxMEIJxb0QrSbGakLUQcfawONpwo0LTwAQmCaXFKPxXHuMs9dzagkC9DJPR3hZKr59tulD2LI/w/97CJ4fAF2XMlW8hUEDwvqyP8fE2wrd5UqFg2HO5tgUnhncXn0YTHu58umDisSJte1yGa3AMCJBb1kHuOrmDrrCsP8rfHnOz0xKdweHx5KxHUpHxYajZgC+evdnrAz1sGjglq1C4+3ejpgsK+V0sJjqL8VVg31xtRf7pE+JB6WevCy0lc4li1G2a9Dh83AVxODwKDTsOd2Pi6nV4DNpCPazQw3sqrAZtDx9cRgpJTUk0aJn43xg42RNj4+nkz5vIg9PSTfz9QIR9gZq3dOnn5Shvv5tdBi0btHa18y3cXHf4CNo9XzHxDz170C3MgiLmRaLNnx26yKJlLPIRAS++i1LR2Y+9cDtHXwkb1xiMz3e533Sc8kl+Hz85l4/0AiZu65j8k/38O7vydg+ZEk/HorT+nN3s5YG3+8E47C2laZ8U0x0um1PtYGOPheJOxNdPCwoFbpDUAaaaMuRW6m0rwXo7l6/5tLWaSYU5rvRIUCm0nHR4PVa2+LYTPpcDXXw6zenSO4M3bLahMC7AyVfh9Ftv/51YSHh5OprozZ1tRf7uFqBlU029DKQ4wcp9mg9RfkJvH62xnK5AttHuuP1UO95X4fTYjxMMf2N4NwcmEvtHbwMeWXe5TJDTGjgmxwZ0V/zIwmNC/bzqVjzPe31XqNOTGuiHQ1VRoc2NfTHF9NDMKa48mUaaFt4wM1Ol/l8cv0HjDX5yC1pAGbTxNbQ5PDHXDgPvFzLhvkCXsTbSze/xgC0ZbWqCBbnEgsoYhrxZ4eDW0d2CDREVqvphtwWwefXIjNiXGVawjYzYuju/j4D0Cj0XDh/T6qD5Rg+eEkNIgyNDyt9LFKavy2pK4NJrps8AVCMOg06LIZSC5uwOpjyWDQaYhfRVWR/5NY8q/KgHkZMOk0RLiYYsbu+5T8CwMtJsUPo1LK92LvrJ5g0Gk4cL8Ab/5AdQFVB0mhsDqeEf29LPDRIC+FHh0GWkycXtRbZuvgYloFxZ5akvOp5eSNebCGk09aTDq4PAFWD/MhH7uZXSVz3BcTApVqKaSNxgCijS42EHM200WtRPfC2UwXbR0CmXHh2hYu2b2R9sAZsv061h5PlumCLBvkSemYrDz6BPWtHfj+rRDkbxmG+FX98fvb4Xizh73Cv5GHpR4mhTtgwyhfnFzYC4lrB2JEoA2WHkzE8G9vUraMxHhZ6ePA7AhsfzMYVoZaqG/pgNOKU/g/9s46vKmDbeO/SJO6u3tLWyilpbjDsG0wxpAJPoUxd+YCc98YE2RjTGFjY7i7FCheCqXUqLvGzvdH2tOeJhXY9r7b++V3XVxb0yRN0jTnOc9zP/f98XbzWyqteWlcLH4uNsz7tu3Co3+4O4tvT+SL3ZckwYl7nhjCuDZyXjrLIyMi6RPmRq1Gx/2rjqLRGxgU6cHRrDLqtHr6hrkxu38Iz/96mpyyOvxdbHhxXCyFlfU8+2uzIDbQ1ZZHRxo7FS21KNseGdRpzcanOy6SW16Hj5M1d3cy6dbCX4el+PgfIcLLwWRtsz2uVNTzUotZ/fS+wRLrbI3eQL1Wj0ohp6JOi7eTNXIZ/Hw0h28OZuHpaM3yWdKI9pO5FSZBav/L6AwCP6XkSNJO5w4JY86AUIkSvyXJwa4o5DIe+O44T/x8slM6nRWtXuevZ/ciojGUzMW2Y8HnoCgP5HKZ2RA8MK4pxvg6MjTas8P7asmnO4zdj6vRq4AxXn5pY67K7sfNz+YDXW0J97Rv16vlxd9MM0TqtQYx2dTX2Zq6FhlGK+f04oZ4X9GUqomCynpxk8mqVQFmEGDF/ssMfGM7724+LxYhCrmMFbN6MazFa/bR9gvEPr+RtzamUVqrYUCEO4tu7sapF0eSuWisyb/1Dwxket8g6rUG7vjyIPEvbeLRH1PNjnBCPex4f0p31s0fQK9GE72vD1wm/qVNJtdti2Uze3KpuKZdJ9LkEFc+n5bEb6l5klXyo8+O+NObLf3D3bmvMW/n5d/PiKu0/i42nMipwNFayduT4vntRB6rj+Uil8H7U7rjoFby1OqTki7Wu5PjsVcrJTqhG+N9CfXo3LbY+YIqPml8/z4ztgs2f3G2joWOsQhO/4dYfHsiYU//0enr/5SSw4AId8Z1N87O37wlnlHv7RZnqrUavdHATG90B43zc+RUbiUv/XaaGB8HBkV6MK1PECsac0fKa7UEudmZrJX+fyExyIVvDmS1K2wMdLPl+g+NzqYKuYyRsV78cbL9sLXW8/VILwf8XWxIL6zGqoMNJ4AjmWVMSgowyUJpQtk4upmcFMDmFp4YLZk7JMzk7Pr3E1d4cnQXPt3RubNugAhPe9ILq3l/azrjuvsR4GqLj5O1iVB2aLQnMpmMI5nmHzMYx2W/Hs9lXPfm7kjTa6+QG63t61s4flop5Lw/uTvejmrJtohBaO4m1esMuNmpKGkUXN/eO5DDl8pIK6ji/a3pfLE7g4mJ/tySFECcnxOfT0vim4OXJWFqH22/IOpXPB3U9Ah0wdNRjVIuJ7e8lkvFNe2a2bUkzMOO+4dGcEO8r9iZqqzXSs72O8OWhwey4JdTHMgw1bw00SPQma9m9OTApRLJ9suRBcPps3Bru/evkMva1b04Wit5b4pR5/HHySusOpSNTAa39Qri/a3G9djXJnRFb2gOibt/aASJQa78cCSbrS26QPcPDScxyNUYPtjicb4/pXu7j7EJvUHg8Z+aNmi8LKm1/yUsnY//IRRyGZuucvzy8A+pYm6Iu73aJAOhTqsXdQXnC6oJcLVBqxe495ujFFbV89I4qd4kNbv8H21A1h7+Ljb0DHYhKciFvmFuxAc4kxjkwoQEP6YmBzK9j9FSu2V6aktSLpdJCo/nb4gxMfH6KSWHyyW1+DnbcGO8L1vOdGza1TrwTaMz4NfYxTC3lWHucbUVggZGAakgCAyK8jAbvjW2mw+39w4y8bnQGQSeWXOSPReKG5OT2899AfBzsaFHoDO1Gj2vrDN23sx9+Dd1YVJzygGYlGQ+nfiB746LjrKAOEp0tFYik8kko6R6rR65XMYzY2NMtDInciqI8LRHbxBwazHW2n+xhLX3G3OAor0dqGkMHbz+wz2Mem8Xb29OI9rbkd2PDzHrdlpY1cCG0/ms2H+Zr/ZeYuPp9l10mxgd583KOb3Y8vAgxif4oZDLEATj6321hceRBcMZ+8GedguPeH8nls1K5mJhNTNb6G92Pz6EO7481KERWkeC2yXTknC3V5NbXseTjWnFt/cK4qej2RgEY/7M6DgfHv4+lap6HQmBztw/NJycslpeXNtc2HXzd2J+ozFd4ivNrq3rHxjQ6XHL8n2ZHM82btC8Mj7Oslr7X+Kqio+FCxfSs2dPHBwc8PT0ZPz48aSlSV0eBUHghRdewNfXFxsbGwYPHszp09cesWzh6oj0cmBqcue3T/QGgbkrj4rup4OjPLm7lbWwVi9gr1ai0Rkor9HiZGNFYVUDc1ceRas3cGnhGMn115/K/0vCxP4uwtooHnLK6jicWcaRy2Xsu1hCanY5KZfLWH0sl1WHsli+/zJ/nMwno6j9gD07lYIf7u7Dx9svmjXxGh1nLGDWHMvt1NiltRZDozN0KqGzidzyOpY0GjiZo7CqgdN5lVgp5IyKNS0cXWyt8HGyMTuWaTojHR3n3am15R1pRYyM9UYuM3ZOUi6X8dsJ0/TZnsGuVDfoSG8sjJvm++YY8MZ2NI0Hx4bGMUuTQ2VLvUVLJ+C3J3WX3McnOy7i3pjsbBCaX/OLRTUs25vJ9d18Wf/AAJbPSmZsNx9UCmOWycfbLzLps/0MfXsHBy+VMryL1zWnP/cIdOap0dEceGoYn96eSL9wd/HAuPN8ESFP/dHmxpU5QtztOPnCdSS9sqXd4iHGx5EVs3pRWNkg0XSsf2AAL/525pq2pVry6HWR9A51Q28QeOi741TW64gPMApFs0sbdR03xvLpjgscyizFTqXg/ckJyGUyHv/phLhpo1LKeXdyd6wUctafvCLm2AyK9KCLj2OnHkt2aa04TnpyTDTeTpb8lv8WV1V87Ny5k7lz53LgwAE2b96MTqfjuuuuo6am+cP4jTfe4J133uGjjz7i8OHDeHt7M2LECKqqrj10yMLV8Vqr9E1zQXItSSuo4rkWYq7HRkbRP1wq5tMZDDhaK6lq0CEIAiqFnMOZZby67iwymYy0V0ZJrr9sX6Z4hvJP42Jj8eBmp2JEjFenP7haE+FpT1c/6UZGjI8jX87oyf2rjpqs0Aa52XJH7yAOXSpld3pxh7bcTXwwJQHHVtkjig7O1vqEul1VCGCTuNGcA+w3B7LQ6Q3trnTP7Bcs0b60x7qTV7i5h7GT8cB3xyioNF01Tiuo4lRuBYIAvk7WKOXtv4cjF6wHmouGpjNxW3XzLD+/xWjHnJakyaDtQmE1A1uIpxeuP8ehS6XIZDIGRXrw8a09OPj0MN66JZ4b431xsbVCqxc4l1/FlrMFnU5/9nexYVx3X14ZH8fBp4ex+r5+3D0oTHJAPJZVRvCT68w66rbH/UPD+e6u3nTtoEvSPcCZlXN6UVTdwPB3doqXr7qzN98ezBKdRq+VARHu3DfYqPP4aJuxuLBXKxkZ68Wvx/OQy+Ddyd25WFTDu42Bci+NiyPQzZZvDl6W6Imeuz6GMA97NDoD965sNjhbOqNnpx6LIAg8veYkdVq9cQ2757/LIuB/javSfGzYII1jXrp0KZ6enqSkpDBw4EAEQeC9997jmWeeYcKECQAsX74cLy8vvv32W+6+++6/7pFbaBOZzLiNkvyacU6r0RlQymXtJuD+mJJDcogrtyQFoFTI+XBqAjd81OzkWa814GhthUEwCgYd1Eo0egPL9mUS4WXPbb2C2PPEEIko7YOt6Tw8IrLdlv9/k5IajUTjML67LyHu9jjbWlFc3YDeIFBep6VBayDA1YZAV1tsrBTUavRcLKpm27lCTuZWAMbNF6MTqpwpS0w3WAZFeqAzGPj6gFEf42qnQqtvFkc28eltPSQfrGD0W5jbwk3STq2QWIybI72wiutivcVY+47Yf7GE+cMi6NPCbbUlhzPLGBTpibejtVkxbY9AF/Hg0REnciq4JSmA307kmXWKBRj/8V5eblwh7+LjSF656fUGRXpIRlJP/HSCWY0Juk3v9Zbrky1/Vke229vTikgIdOZYo6/I1M8P8OvcfsQ1FpsudiomJvozMdEfg0Egt7yOtPwqzhdWUVylobxOQ2WdFplMhlopR61U4OWoJsDVlgAXWyK97PFsJzU1Nbv8mjdLVt/Xl6p6Hb1ea1+nMSDCuNWSXVbLqPeabdM/uyORw5ml4nv1WvF1subdyd2Ry2XsSCvkvUZtx8x+wXzSqB+6d3AYMT6OjPlgN3qDwPXdfJjQw49LxTWiYR8Yx3BNfkItV9pX39dXYq/fHquP5hp9RJRyFk3o2unbWfh7+FOC04oK4wevq6vxLOLSpUvk5+dz3XXNOSBqtZpBgwaxb98+s8VHQ0MDDQ3NZz6VlX+uxWfBiKejNY+PiuKNDcYWY1uFR0snwmd+OUU3f2eivB1wsVPx2R2J3PzpPuobW9mFVQ3E+DiSVlBFVYMOO5WCGo2eZ385hY+TNUOjvfjpnj5MXLxfvP93Np9n3pDwThlI/RV0VGS1xy/HTdv/LrZWjfN2o56g9aZEE7YqhWgw1honGyt2pRchCEZfjiA3O1Fn05Kh0Z4mhccdvYPEtnMTnSnmiqs1XC7p3Bk4wLHsMjQ6Q5vmUetO5tEnzI0bu/uaHeFcLqll9dEcM7dsZkCEu+gZsfLAZWb1CxHDvMzRtJUR4m5ntvjYeb6Icd19xWTT749kE+RuXJmtqtciCAJBLQzQ0gul3ddHRkTydqvX0kohE3/Hx1oYmukNAtd/uIelM3syJEo6fpLLZcaiwtWW4VexcdYag0Hgyz2XePWPa0uIVSnkHHx6GB9sS2fp3sx2rzu2mw/vTupOWn4VN3zUHAz32R2JFFU1dPge68jBFODLGT1xt1dzqbiG+auOIQjGRO4/Tl6hukFHrxBXHhoeydNrToo6qFdv6opBQLL142Jrxes3d0Mmk7HzfJGYwxMf4EyPTjqSFlc38HKjxuiBYRGd3oqx8PdxzYJTQRB4+OGH6d+/P3FxxjOU/Hyjat/LS/oH6OXlJX6vNQsXLsTJyUn8FxDQObtrCx3T1O5swsXWVCdgEBBFkRqdgftWplDTGFYV6+vE6zdLBahnrlSKqaG1Wj3u9moMAsxdeYwTOeUkBbvy4dQEyW0+2n6BeUM6H4L3Z2gqPJrm93+WslotxdUaSmo0bRYeYOwGtUVFnRZBMI5p7NVKs4UHYNbXoaufE5mt2vgtD9jtuYvuvWC6AuturzKbx1KvNXAqr4LXN5jPA/nmQBaCIDC+u3nfjSdXnyCnrA57tbLNcU9L6+pz+VWSwqA9Qj3sJSMdayu5KO7cdb5I4i/TVGxr9QLltVqJ/qJlMQEwuafpZ809g8LaHcPNXHqYp1aflMQP/FlO5VYw8t1dhD79xzUXHvcODuP0SyNJenVLh4XHbb0C+WBKAidzyyWFx7KZPdHoDG0GzDWhVso7LDy+mJZEFx9Hqht03LXiCJX1OnoEOlOn0XGxqAZvR2s+urUHm84U8MORHGQyeGdSPE42VnyxO4OUFptZb0yMx8NBjd4gSMZPq82kE7fFi7+dobxWS4yPI3cNvHrDPQt/PddcfMybN48TJ06watUqk++1Vg8LgtCmovipp56ioqJC/Jed3XG+g4XOc/KF5i5UWa0WB2vTZlfL38zFohoW/HIKoVEpOa67H3P6h0iufzKngsQgFwTBeIbp42RNnVbPrGWHyS6t5YZ4XxOr4o+2X2DukM4b+XQUktcRxdUNKOSyNjdT/lPIZcaiI9TdjvTCaspqO58vAtA71K3NoDSAzE6EsbXk2etjSAoyf7Y4p50UXDBaxnfxcTCbdtu0STEo0oMTjRsqrTl0qYR+4c1jnQ+2mnbD7FQKjiwYLrkswNVGkjrr72LL02O7EOfnSFmtlso6rYmLLEB+ZT09WjzX49nl1Gqai0RPR2uGd5GeKH2x+xIfTOne7sbWqkNZ9Hh5M6/9cZb0TmwbtUajM7A2NY9+i4z2/td/uKdTW0ttseXhgUxKCiDimfUdbp3MHxpu1JhcKuHmT5s7lN/e2QuDILTregrGwq+jzZenx0QzPMYLg0Hg4e+Pk15YjZejmoRAF7acLcRKIeOT23ugMxjEnJb7BofRK9SNs1cqJYF4U5MDRP+isR80j4ZWzunV6TydrWcL+C3VqC95/eZunVpPt/D3c02/hfvvv5+1a9eyfft2/P2bV+C8vY1/sK27HIWFhSbdkCbUajWOjo6Sfxb+OhysrXj7lub02tYaAzBtn645litaHYMx/6Vl8mqNRs/lklpC3O1o0BnQ6g34OdtQXK1h+tJDlNdquG9wOBN6SM+Sv95/mXsHd64A6cwWSEfoDQIZRTXYq5VmA8j+ThytlQS72RLoakt6YbVEhKiQyzolNnW1UxHoZms2I8bcwbYjBkZ6SIyYWp8PtDybbzIxa8nu9GJRdNkWtiqFOKZrzYGMUsnBvnWMPRjN8tzt1ZJtqR1pRRKxqK1KgVqp4ONbe+CgVpKaU2G225KaXY67vZqQFt2P7eeka8vP3xAj+bpOq+e+lUd5Y2I3SS6MOZbsymDEu7sIfnIdkxbv5/0t6ew8X8SZvEoyiqo5lVvBljMFfLA1nUmf7Sf4yXUEP7mOyAXrmb/qmNnnfzVM7xPEhVdH88uxvDat/ZuQy+CFG2J4+Loodpwv4tbPD4rf+/nevlTWaZm1rP3i00GtbPN328Qtif7cOcDYWfhw2wU2nSlApZAzrU+waCz3/A2xxPs78/D3qVTUaenm78SDwyOpqtdyX4uxY5CbLQsaXXC3nysUYw6C3GzpF27qbmuOqnqt2Mm5c0AoXTuw7Lfwn+Oqig9BEJg3bx6rV69m27ZthIRIz4hDQkLw9vZm8+bm/WuNRsPOnTvp27fzLTILfy03J/pL3C3VHWy/ADy39jRnGg96TQJUP+fm+yiubkDTaMhUXK3BRqXA00FNRlENd644Qr1WzzuTukta2JX1On5OybmmnJE/Q3WDzrjXb61kYKQH4WYOrH8VKqWcYDdbKut1ZJbUmnQmFoztwiPXRZroUu4dHGYyFmsaC3x3SLpe+cyYLiaW7Z3hlXFGT4OmbpC8jW7k93f1pqeZg/nPjZqO9sZPHaltTuZUtOta2vTeXDC2i3jZl3sumR1zBLnZ8cGtCchlsO7EFZN2+pOrT6JttO9uYt1Jqa4nwNXWZLU8vbCa2cuO8MzYGO4f2rlx4aHMUt7dcp7pXx1izAe7Gfr2Tq7/cA9zVhzhnc3nOy38BWNRaK5D2ZL1Dwzg0ZFRhD+zvkM9lYO1kqUzk5nRL4RVh7IkPh6/zetPdmkt93xztJ17AGdbK6oa2h4tgtG999WbuiKTydh0Op93txh1I3OHhPPlnksYBJiY6M9tvQJ5Z3Ma+zNKsFUpeH9KAkq5jCd/Pila44NxC8ZOraS6QcfMZc2PeevDg0x+dlu8vuEcVyrqCXKz5cHhkZ2+nYW/n6sqPubOncs333zDt99+i4ODA/n5+eTn51NXZ6zgZTIZDz74IK+99hpr1qzh1KlTzJgxA1tbW2699da/5QlY6By7Hmu2sW7ohE+ERmdg7rdHqWo0bXKzV/PZHYmSwiW3vA4blQJrKzkXCqsJdrPDQa3kcGYZj/yYisEgsP6BAZL7LaxqYN2JKyajnP8EVfU6dp0vIqu0lpGxXtySaN646s+g0RnMjkJeuCGGMy+NJK+8XtQlNLFoQldUCrnJSGZqz0BO5VZI9CTDoj3xarGKGX8VHZ0m86yAxsRP6zaK0F6hbvQyU3xcKKymVqPjXH7bovDWhmitWXM8t10fmoONB+nWHbqDbRy8h0R58vQYY6Hyxe4MnmyVURTxzHrJCOWPk/mSLgrAw9dFYtvKXvtQZil3fHmQ23oFsfj2RImGKNzTHt+/wR9CpZTjZqfCycbKbIcSjAF2lxaO4WJRdYdrtACh7nb8MrcfgyI9eHrNSUkc/YYHB3A6r4IHvz/e7n2426tMAvpa4+tkzeI7ElEp5aQXVPFQ431OTQ5g27kCSms0xPk58sr4ODaezhfdchdO6EqIux3L92Wy7mRzaNwDwyJEMWnc881Jvd/f1RtlJ8cmhy6V8s2BLPHnWCzU/1lcVfHx6aefUlFRweDBg/Hx8RH/ff/99+J1Hn/8cR588EHuu+8+kpKSyM3NZdOmTTg4OLRzzxb+buRyGVsebnY/rajTdtj6v1Rcw1OrT4r6jzg/JxZOkLpY5pTV4WanRiYzfmDH+jlipZCx7sQVFjWKFzMXjTW5zfa0Qmb2C76q59BWMFpbtHX2qNEZ2Hi6gB9Tcuji48jMfsHcPTAUn7/4gHJzD39WzunFxdfGEOPrRMxzG/lqr3Sb5JkxXegd6mayQTIo0gONXs/1H+6RXD5vaDjzW8zl7+vkGAsQjbg8HZsPpHatPpCbEkHb2iJYfzK/XafMjjoygmDM1UhuIy0X4Fx+Zbu6grpW2z+z+4cwKckfg2BM253VT1rYTl5yQNK1W7pP+jtQKxWsmy8tksEoUL3+w90o5DK2PTqIWf1CxEI7r6IemczouNkj0JkoLwciPO2vWquklMvo6udEjI8jtioFJTUaswf6mxL8OP3iSEbFehPy1B/tBsM1MSDCnTX39SPMw57r3t0pCYnb/9RQ9l8s4ckWxYg5wjzsKK5uX1wrk8HyWcm42qmoqNNy19cp1Gj09A51RasXSM2pwNnWik9vSyS7tJZHfkgFYE7/EMZ19+NYVhkvr2sW2nYPcGZeY8epZX7P+O6+Yq5NR9Rr9aKT6pSeAWZDCC38d7mqVVvBnF1jK2QyGS+88AIvvPDCtT4mC38T4Z4OkrXXzqyk/n7iCskhrkzrEwzAhB7+nMytkCjqc8vrCPWwI6OohgMZpSQFuXDkchlLdmXg52zD9L7BXFo4hpCnmnNnLhbVYKWQX9Uabn5lvfhzOkNVox9Jg94gHnhbc/ZKJWevVKKQy0gMcmFqciAudipqGnQczypn89mCDkV8YPwAHhzpQd8wd5JDXIn1deRKRT0bT+fzxM8nzPpZzOwXzMx+wdzy2X6J+yYY126Hv7NLctmwaE/uXJEifu1orZQIKDtC3/j369VYxNVo9Pg521CjaSnmtBH/62RjZZJTc63bGC1ZeTCLN27uxqFM80XMwj/O8XKjbb9aaSpwbP2YZDIZL4+P41JxDYczy9h2ztQYq6W+YumeTKb3Cca3RUES4m7Hb/P6S7Y/wLiyfOeKIwyM9OCREZHMHxbOqkPZrE3N4+yVSk7kVFzdkwf8nG2I83Oksk5HeZ1W9IoxR0KgMx/d2gNfJ2te++OsJJOmPWb3D+Gpxi5Q8JPrJN879/Iovtp7yaQD15pQdzvRkK89ls7oSYSXA3qDwAPfHeNScQ1+zjYMiPDgzY1pyGRGozwnWyumf3SIGo2ePqFuPDk6mvJaDfO+PSb+jdlYKUQX01OtPmfendy9U88djIZmGcU1eDioeWpMl45vYOE/jiVY7v8Zj46MumrPjed+PU2Ep4NoQPX0mC6cu1IlOkKCsUvSFDyXklVGFx9Hzl6p5IXfTuNsa8W47n5kvDaG0BbBd+fyq2jQGXj2+hhe/v2Myc81R0ZRDb5O1uRVmE+NbU3TnNrHyZpajb7N0De9QeDQpVJxNu/hoKabnxNzB4cR4+uEr7M11lYKBMF4VmVtpUCtlGOnVuJmp6K8TkteeR1n8ir54Ug2KZfLRIGcOSYl+bNgbAwLfjlpsgIK8Pxa00iCra1WcRODXNpc2zWHofED3l6tRNUYa99a9JhZbBwZyWTGM/LWUfdN2osFY7vw9qbzJkVTax4bGcXH2y+IVthgDCAsqm67Q7LzfBHb04zPVa2U8/rN3SSjgcKqBpMNOrVSwae3JzLuo70dbgBp9AZeXXeWj2/rIbm8q78Tv87tZ9bca9f5InadLyLe34mbEvz4+NYE7NRK9l4oJr2wmguF1eRX1FOr0VGnMWbIONlY4WRjhaeDGl9nG2o1ekprNGSV1rLpTIFZ6/0m+oS68eYt3fB3seVYVhn9Fm1r9zk1YadS8PL4OCb08Ke8VkP3l5r1d7YqBadfHMkbG9M6DAP0drTulFPr8zfEMLjR9+TtTWnsSCvC2krO3CHhvND4Hn70OqNj8l1fHyGj2Pj3+9GtRvv0h39IlbwHn7shhhB3OzQ6g6Trd/y5EZ3OYDl7pZLFO43P7+VxsVcVRWDhP4el+Ph/yNmXRtHluWa3WpVC3uF2yV1fH2HtvP6EuNthpZCz+I5Eblm8TwzJEgS4WFgjukJeKKwi2M2WzJJaHv4hFaVczthuPiYdkEvFNXy5O4M3JnaTJFS2R1PhEepu12kr66bU1O4BzhRVNXS4aVBU1cDWc4UmB/ymuXyTWFNvECit0VzVds6j10Uyd0g4b21KY9Whq1stD218/dMKqhgY6cH2tLY1FrYqheSg39Jm31alMNsNavm6xPo5mhQfYOzy3Bjvy8FLpW2m4DYxKs6bnLJak+f5oZk1W2g2Intrk/GsXKM3MD7Bz0SXUFytMdn4cbdX8/XsZCZ9tr/DUcG6k1cYdjSHCT2kup/4AGcOPj2MqUsOmH1vpeZUkNrY7fBxsia8cY063t+JXiGuWFspqNcai9zyWi2XS2s5dKm008XyxER/Hh4Ria+zDVkltSZdi/bo6ufEB1MTjJkuORWSLs6QKA++mN6TeauOse7ElXbuxTiuNOdi25rbegWKW0m/n8gT/WeeGBXNR9vS0egNXBfjxb2Dwvhw2wW2nC1EpZTz2R1JuNmr+WTHBYm3zfXdfJjSKLJOfLm5aFp8ew+cbU29acyh0xt44ucT6AwCo2K9GRVnSaz9p2JZeP5/iI1Kwbdzeolfa/QGk8TS1lTV65i97DAVjfNoJxsrls1Mlugw6rR6sktrSQxyQasXyK+sJ9LLXmzHbjydj0wmMwmiy6uo5/X15/j4VumZaEdkFBuLnavheHY5ueV19Ah0bld30BYanYErFfXklteRW15HfmV9pwuPAFcbVs7pxd2Dwnji5xMmEfUd4edsw4e3JpBRbCz4+oe7s6sdgecLN8RKvrZrEbJmpzJ/3tEyjya8DRdIb0drPB2t2/QLaUmImx23JpumvbZ1cHtweCQO1kpRcNmgMyAIgklcelap+aIz1MOeFbN6SfQ+bWl5nlx9UtzoaomXozVbHh7EK+PjzNyqmSsV9exOL2b5/su8tek8r6w7y4JfTvHKurN8uO0CXx+4zK7zRZ0qPN6f0p3zr4zmrVviUSvlxDy3gYFvbu/wdk3M6R/Cz/f2JcTdjve3pEsKj4eGR/LRrT0Y8taODgsPVztVm2LXlozp6s1LjdtTqdnlPPaj8cRhdv8QNp8pIK+inlB3O96eFM/2Ftbqr46Po6u/EwcySiRjn0gve9HFdMmui2LHsmewy1UVEEv3ZnIipwJHa6WoX7Lwz8RSfPw/pW+4u8SHoy1ZQ8vtloziGu5dmYK28WDr62zDslk9JR/0xdUaymo1dA9wpl5rIL+inm7+TugMAvO+PcrWswVmC5CSGg2P/Hicz6clXdXzOJZVTrS3A4GunXPLbOJoVjmHMksZEePF2K4+bSbd/hU4WCuZPzScDQ8MxNNBzcRP9/HDkfatyFt3mP2cbfj+7t4cySxDqxeI9XXkcjvjhQBXG8JarBSrlHKJuVLrsMGm36Gk+GhjJblJM9JRYCEYhc5d/Z2I9e2cf8/2c4USN1xBMBa1rV1HWxpktSbG15FvZjcX11cq6nljYjeT62l0BsZ8sNvs6EremNWT+tx1JoZ5fwUymdHw7eDTw8hcNJZx3f3Ir6inx8ubSXxli6Rj1R5udiqWzuzJgutjUMpl9Hh5s7jiCkbX0inJAcQ+v7HD4D8/Z5tOObcOiHDn3cndUchlXCquYdayw9Rp9QyM9KBWo2ffReMK7Wd3JFJcreHB748jCDCtTxC3JAVQVNUgEU07qJUsvj0RO7WSyyU1vPZHs8nY93f16dTrAHC5pIa3NxsLmmfGdmk3O8fCfx9L8fH/mJbmY4DJuiEYzzxbJqruu1jCc7+eFsXH0d6OLLkjSaLyzyiqQSaDaG8HKut1FFTWk9TYDbn3m6PsSCtEJpOZbMHUaw3cueIIX06/ugLkXH4VWaW1DO9iGvneEZvPFLDu5BUKKxu4o3cQdw8KJTnYtdOJs+0R4+PIU6Oj2fvkUGb0C+GDbemM+WC32LY3R3KIK7f2CjTRA/wytx9+zjZ812j+dn03X+asaNsUat38AZI8FI9WdvOXWo0UmiLoS2uaNTFt5V80bY50dKBq+fuYYsbK3Byf7brI1F6BUk+ZKo1ZK/Z9ZkZCTcQHOEvWvB//6QSr7uxt1jxt+Ds7OdKG+NXJ1or7BoeT/upovpndi8lJ1x7/MDU5kC+mJXH8uRFcWjiW2f1D8HK0Zvu5QoKfXMfAN7dflW37qFhv1j84gCFRnkbR99N/SG6fsmA4Xo7WHQbMgbHQ7IzpWY9A58aVewWFVfVM++ogJTUauvo5Ee/vxKpDWY1W6d3xcbbhrhVHqKrXkRTkwoKxMWIXtLDFVtTbk+IJ9bDHYBAY9OYO8fL9Tw3tdPibIAg8tfok9VoDfcPcmPQnfk8W/jNYNB//j5HJZJx7eRTRzxr1H7UaPV6OapOI88p6Hc62VuIK4KpDWYR52DGn0cmwT5gbb0+Kl1gzH8sqp0egM0FutlwuqcVWpaR3qCsHMkq56+sUvprek/4R7mQuGmsy15693FiAzO7A7rs1W84WMiDCnYo67VVvIVQ16MQUz2A3W+4aGIq7vTFP4mRuBZdLa8krr2tzldROpcDPxYZu/s5083eif7g7Ie52HM0q562NafyUktPh2ewX05KoatDy0PepkstPvHAdjtZWbD9XyNkrlVhbydl53jQHpiWO1laSg0lHa8RWjR/yLbdnnGyssG80eWpJeZ3xAHcgwzQ7piUt2+U3dvfj1T/OduiQqdULrDmay5Ojo8X3U0pWKTclmHqy3PrFQc6+NKpN/4YuPo58clsP0TVz6ucH+GBqAgUV9SZbOxMX78fP2Ybtjw4229GxUsjpH+FO/wh3Xp/Yjap6LWmNRW+TvkOjN2BrpcBGpcDBWkmgqx1BbrZ4O1qbHETzK+p59tdTHWpmzOHpoOalcXGMavQvWX00h4d/aH7PxPg4sm5+f3aeL2JGC0OxtkgOce2UCVqUlwNLZyRjq2o0/lp6mOzSOoLcbLkpwY+XGkXjz46NYWSsF3O/PSpaq39yew9USjnvbEpj38Xm983cIWFcF2t8HmNa2Ke/Mj5OkkjcET8eyWHfxRKsreQsnNC10+JUC/89LMXH/3OsrRT8MX+A+IdfUNkgKTSaKG/MhWmaB7+y7iwh7nYMa7TLviHel4LKel5psa9/NKuchEBn6jR6LhXXYGOloFeIKwcvlTJnxWGWzkimT5gbmYvGEvvcBkl66+zlR3jtpq78fiJP8mHVEU2pqTcl+LHmWO41vSaZJbWS8LakIBeSglyI7ROEt6M1KqUcFzsVVnI5MplR6KiQyyiorOdKRT1pBVV8sDWdw5llnTqbnNE3mEdHRrFif6bJ+uOBp4bhaG1l1D1sNUbW12sN7XptNHG+RV6IT4tOgrmz/CY9SE2rQsPLUU11kfSyvRdKqGnQmd3SaUmUV7O3j5ONFWO6+rD6qOnvJNLLXhQug9GrY9fjzaZ4D32fyk0J/nT1czJZS+3y3AaTDlpLxnT14bZegaxs9LiYv+oYExP9WTuvHzd+JN1qyS2vI3LBegJdbVk5pxcB7YzyHKytSAp2JekqdEPZpbV8tO0C3x+59vyq23oF8sToaBytrdDpDQx6c4fkPfby+Dhu7xXIl3suSf4W22JkrBcbT3dcAAW42vD1nGScbK3Q6Azc83UKp/MqcbdXMXdwuGhhPrt/CLP6h/Dpjov8cTLfmONyWyKeDtbsPF/EB9uahcYDItx5eIRxpLXmWI64HebjZM3tvU11Qm1RWFnPK42JtQ+PiCTI7b+b52Shc1iKDwvE+Dry2Mgo3txoPPCV12rNRmY36AziiiYYP8h/urevOI+fMyCUKxX1klj2Y1nlxPs70aAzcOZKJdHeDvQIdOZoVjmzlx9m+axkega7cvqlUUz+bL/EyfLpNSeZ3T+EodGenfogbcmaY7n0D3fHw0F9zUVIE0cul3GkRcrmX0XPYBc+vT0RhUzGkLd2mHRVVsxKxruxY/FTSg7Hs8s7db9NNuMtxZQtxaMTFzfrJWb0DWbZvkyxe9DawMvbydqs18OBjJIOfWKcW9nFT+kZaLb4aFl4gHGV9tuDWaJfDBjHY7ck+Zv1xLjn6xQW35HY5uN47oYYTuZWiN2wn1Jy2H+xhMW392Btah5/nJRmUWWV1jLgDaPYMznYlTsHhtI3zE0i2O0Ird7AhcJq1p24ctWr7eaI8nLglZvi6NlY7Oy7UMytXxyUXGf7o4PxclQzecmBTnUyhkZ7dqrwcLdX8+2c3ng6WGMwCDz2Uyp7LhRjq1LwzNguPP/raTR6A6PjvHlmTBd2nS/izY1G3cYLN8aSGORCXnkdD3zX3Bn1c7bh/SkJKOQyiqsbJN2+PU8M7dRrAsb18Ud+TKWyXkdXPycTgzkL/1wsxYcFwJi/sGJ/pjhy8XOxIbtUetau0RlwsFaKxUeNRs+c5Uf4ZW4/ce3xmTFdyK+sl6jqU3MqSAh0JrO4hnP5VYR72otnsTO+OsSSaUn0C3fn+7v78M7m83zQeIYPxlyPodGefDO7F7d/Kf2w7YimNdHbewdSUq1h/an8Dm7xn2FAhDuLb09EozOwdF+m5Pk28fYt8QxszCQpqW7gtasw95o7OJw6jV4ipIz2MXYhUloVUU1ajyaNS+tywqsN0V5TzsvoOO82X9dj2eWS7kHPYJc2TeLc7VWS9dhPdlzg1uRAsfh4Ye1pPr3d/DbUhtP5fHcoiylt2LarlQq+mJbEDR/tEd/fueV13PPNUQZEuPPK+Lg2Y+QPZZaamKEp5DJC3O2wUyuxUynQGQSyS2vFde4/g4NaidZgEMdTXo5qHhkRxc2J/ijkMgwGgRs/3sOp3ObCMtbXkd/m9SejuJqY5za2ddcS+oS6SdZc23w81kpW3dncBVq4/iy/Hs9DKZfx8rg43tp4nsp6HYlBLrw7uTtZpbXM/+4YBsGo87k1OZAGnZ553x6VdFMX356Iq50KQRBIemWLePnmhwZ2Oq0W4Is9GexOL8baSs67k+M7bb1u4b+P5TdlQWT/k8PE/88urSPa29QSv6peh5Wi+cMht7yOu742BsmBcUvgnUnxJtkgx7LKifNzwt1exYXCaqrqtUR7O1Cj0TNz6WH+aMx1eHhEJEtancVuO1fIy7+f4ff7+1/T8/rmQBbrT+Vz3+AwMZ77v8Fbt8Rz4dXRPDAsgtf+OEvCy5vNFh4vj4/j5sbcGb1BYN63x0xyX9rDydaKI5dLJZ2JmMbu1M2f7pNct+l32XRWb2ildG3L0r6pW9CznbHDzlYeJDKZrE3haWtfjuJqjcRjJbe8zqTIaSkKfnL1SfZdbFuA6ulozYpZvXCzk/pF7E4vZsEvp+gT6saQqLbTeluiNwhcKKwmNbucfRdLOHSp9E8VHg5qJZ4OauxUCqoadNRrDdirlTx6XSTbHx3MpJ4BKOQyUi6XEvr0H5LCY+WcXqybP4C1qXkmjrhtkRziKjEIbAuVUs43s3sR0Tg++3xXhuiw+sKNsSzdd4nc8jpC3O34fFoS1Q26xlRrLfEBzrzYuOr61OqTHG0xonvj5m5iuuydLUTT84eGiz+rM5zIKRe7tc9dH0u4pyXC49+EpfiwICKXy9j/VHPL81x+lSSOvAmtXpAUIMeyynnspxPiBoxaqWDJtCST4mV3ejFJQa54OKjJLKmlTqsnKcgFjd4YYvdNo+DzulhvSQ4NQFpBFVOWHOCne/pIEnqvhk92XCSrpJYnRkVLot07g5ONFb5O1p3egnGxteLOASF8M7sX2x8dzIdTEziRU86gN3cwcfF+UYPQEhsrBZ9PS+KOFvPuZ9ac7PBAMb9F8mqT6VNLnYyXoxp/FxsTjwdPB7XYxWradJIhfX7urbZkWtOjHa+PXelFJpEME3r4S9477XG6lQfHkl0ZkveUziBIUmdv/fxgu6F3Ud4OfHdXbzxbmJPZqRQo5DL2Z5SwPa0IB2tlp1aI/wpC3O2I8XFEpZRTWNVAjUaPrUrB7P4h7HhsMPOGRmCrUlLToKPHy5sl68V+zjZceHU0iUEuPPDdsQ7D4ZpIDHLp1EhGIZexbEZPMbjwl2O5okj38VFRbDlbwKncStzsVCyb2RNrKzmzlx3mckktAa42fDEtCbVSwSc7LkpGbVOTA5nUWIDuPF/ElrPNBebD13V+pbm6Qcf8VcfQ6gVGx3kzNdmy3fJvwzJ2sSDBx8mGz6cliWckl4prcLG1Mjnz1uoFbKwUor32b6l5BLjY8PgoY56Ek40VK+f0YurnByQz/Q2n85mY6M+e9GIul9Qiw5hZsvVcIQt+OUVpjYb7h4YT7ulA6nPXEf9Sc3JndYOOiYv389Yt8Wj1BklCZ2dJK6ji9Q3nSA525aVxsWQW15qEvZmjok4rWrPbqhSEediLts3Otla42KqQy8C60Tm0uFrDocwyVh/NpaQT65Nd/Zx4e1I8kS3O/O75OoUNp9sfFcllsKnFxsQzjVH021p8qPduDOOa+600Nt3H2YayWuNjUyuNxUfrzZH0duzbVUo5XXzaPtssqmrg7JUqYlp4fLjbqxkR42Wis2jC3LYVNLvwtras33g6n1/m9mN8oyX6qPd2s/6BASa+IE1EeDnw2/39mbvyKEcul1Gj0RPt7YCfsw0pWWUdprf+WeL8HLFXK6nV6Dl3pUo0qHO3VzGzXwi39wrCqYVW5qXfzpi8P5fckch1sd5cKKzqdLfDXq0kwNXWZOxmDiuFjOWzksUwtl3ni3j0R6MmY1a/ELJKakUb9S9n9MTP2Ya7v04hNacCF1uj+aCHg5rfT+SJnQmAeH8nXrgxBjCOEqd/dUj83rmXR3XqeTTx/K+nySypxdfJmkUTulm2W/6FWIoPCyaMiPEShYgAZbVaFHKZScBanVYvWcX8ZMdFHG2suGeQMWnVzV7Nt3f2ZuqSA5KD2E8pOczoG8zmMwVkltQiYLSV/iklh3c2n6ekuoHnb4jFydaKC6+OJvyZ9ZKf++iPqUxM9GfnY4MlvgBXQ9MsP9TDjhdvjEVvEFh9LEfS0m6LWo2+3TCwq8FereTewWHcNTBUNAGr1eg6Pbvf/PAghr29E4BAV1usFMZI87QWmy79wt35dGfz9k58gDOp2eUEudqKfgtNJmM2VtLiY287Xhpd/Zwo6cDGfFd6kaT4AJjcM7DN4iPe35m8ijqT38PgKA+OZZebiHLPF1RTUFnP0hk9mbnMuFY6+v3drL6vb5vJvF6O1qy6qzfvbj7Pkl0ZnMuv4mJRNaPjfIj0sietoJp9F4o7VTR2hJ+zDd38ncS/nWPZ5Zyqan5u0d4OTOsTzIQefqL+BmB3ehF3fHlIcl+9Q135ZnYvZDIZH25N5+3N5+kMI2K8OJdvDFDsCJVSzqo7e5EYZBynpVwu5d5vUtAZBG6I98XZ1oqv9l5CLoMPp/Yg3t+Jp9ecYuu5QtRKOV9M70mYhz3HssrE9FowOqd+ervRH0SnN5DYQuex5r6+kufeEb8ez+XnoznIZfBeY2CdhX8fluLDglleuDGWtal5ommRjZXCxO8BjN0IB7VStENetP4cDtZKbutlHB24NxUgnx+QCCCX7ctkep8gtqUVcrmkFoMgMKd/CF/sucTy/Zcpq9Xy1i3xqJRyLi0cw/B3dkq2Lpq2PzY+OJA3N6ax5ezV+yWA0RDt+bWnsVLImDsknCdGRXMip4LfUvPaDYb7s9irldzWO5B7Bobh0qhDMBgE1hzL5ZEfUzu4tZGnx0RLZuY/39sXgF+P54mXKeQyhkR50vPV5g/7EDdbUrPLifJ2EEcxTR/+rY3m2nPFTAhwlqzzmmNnWpFYjDbRP9wdpVxmdltm05kCvp3Ty2ST43BmKe9O7m7Wt+KdTedZN78/y2cli2fTEz7Zx+s3d2VyT/MiVCuFnMdHRTOhhx8vrD3DngvFrE01vm5xfo7M6h9CoKst5bUaMopryCyuIbOklvJaDTUavTiuslLIGoWnSnycrAlxt8PdQU2dRo9MZuwcbk8rlPibuNqpuDHel4mJ/sT6OkrO2k/klJusAAPse3Iovs42XCyqZuwHuzv0S2liRt9gyd9xe9hYKfjh7j6iHiPlcinTvjSm0PYPd6dfmBtPNnYbX7gxlhExXny4NZ1Vh7KQy+CDqQkkBrmQU1bLnSuOSNKIP5yaIKYItyw85g8NJ6GNItEcWSW1PLPGKA6+f2gEySGdX3W28M/CUnxYaJMjzwwXU2irG3R4OqglzoQiMiQdkGfWnMJerWRcd6N9u4eDmm/v7MWUJQckmw7L919mQoIfclkZl0tq+ePkFeYNCWfxzousTc2jrFYj2i5vfWQw3x/O4omfm0ctFwqrGfneLhZN6MqsfsEmB6yrQasXeG+LUfyZHOzK9L7BxPo6cjK3ggMZpey/WNxhWFlHqBRykkNcuTnRj1GxPuKIQ6c3sPVcIXd/ndLp+0oKcmFotKdoRd3FxxEPBzUNOj3fHW7Wk/QOdZVYWf86tx9P/GzM4YjwtCe7sbhoKjpcWwgyLxa1n5jbLcC5w1TdlMtl1Gp02LbIklHIZdw3OEzi+dCShEDjc2u5jVFWq0WtVHDv4DCTRNa0giq+OXCZGf1C+OHuPkz6zKiNeOLnk2w/V9TuGm64pwPfzOnFsawyluzKYOPpfE7lVoqdFzuVglg/J8I97enm74ynoxp7tRKtXkDXODIprGogv7Kewsp6DmeWmk3V9Xa0ZnCUB8O6eDEo0sNEV9JW0bH49h6MivNBbxD4bOdFFq4/Z3KdtrijdxDL92e2m57bhLOtFd/d1Ztob2OX6khmKdO/MhYefcPcGJ/gx+M/GYviuweGMq1PMD8eyRa7Ly/eGMvIWG+q6rXMXnZE8rfyxKho+oUbRzhPrT4hji8jveyvSueh1RuY/90xqhuMjqkt9T4W/n1Yig8LbSKXyzj27AgSGhMmC6sa8HO2MTHOqqrX4eNkjd4giBqQh74/jr1aKZqQeTpY892dvY0FSAtr79XHchkR44VCJiOjuIbl+zOZPSCEFfsuszu9mFsW7+fz6Un4OdswuWcgAyI86NsqXvzJ1ScZ192X48+N4KZP9plYh8tkdOoDuImW65UDItwZFOnBvCHhKBUy0vKruNAYoX6puIbyOg0VtVqqGnQIgvFnWSsV2KkVBLjaEuRqS4i7PT1DXOgR6CJpL2cW1/Bbal6n2+dNuNqpeHdyd9GLAoyta4D1J/MlH/zJwW5i1oernYowT3uxW+HnYkNVgw5ZY/EIUoHp1g66SVFeDqS0YUsOiFqhg5dKGRIltb6fkhzYZvGxbF8mT42OZtf5Ikl35PUN5/jxnj6kXC4zEU2+vfk8w2O8SA5xZc8TQ+j/uvG12XA6n+An13HgqWGiZ4o5EgKNnivF1Q1sOl3AhtP5HMkspUaj59Cl0k6JNFvi52xDnJ8jCYEuDI7yIMrLwawuYf/FEqZ+fsDk8nsHh/H4yChkMhmn8yq46ZN9ZlOI22JsNx/RsbcjvByN3cmwRi+Yw5mlzGhReExKCuCRH1MxCHBLoj9PjIpm5/kiUXN17+Aw7ugTjE5vYN63xyQjvwkJftwzyOg78/uJPEm68YYHpKLyjnh383mOZ5fjaK3kvSndLWu1/3JkQms5+n+ZyspKnJycqKiowNGxc2FUFv5ejmSWSoypzBUgYDyTziiuEefbKqWc5TONLqZNFFTWM2XJAZMCYWCkB5V1Wo5nl2OlkDE1OZB1J65QUqPBrXFe3NRiNRgEsSPTkiA3W96+JR6ZzHzw2NUWIa3xdrSmZ4grMT6OxPo6EuPrKB6s9QYBncGASiE3e5ARBIHs0jpO5VVwPLucrWcLzJp3dYSVQsa3d/bms50Z4qjp5fFx3NE7CL1B4Lp3m8dTrZ1qT784kuPZ5dz2xUH8nG14Z1I8k5ccwM/ZhuvjffhsZwYz+gbzwo3GFclJi/ebeFy0ZOdjg3nptzOSldiWBLraklVay6x+ITx3Q4zJ99uLi89cNJaF68/y2c4MyeWHnhmGUi5nzPu7TZJxewa78N1dfVDIZTTo9EQt2CD5/qQkfzE5tTPoDQIXi6o5kVNBdmktRdUNFFY2UKvRoZDLkMlkKOUyPOzVeDmq8XKyJtDVllhfJ0kHqTU6vYFX1p0VNVUtuWdQGE+MMhYdJdUNPL/2NL93kETbkuFdvCisqu90vIC/iw2r7uwt+ni0LDz6hbsxNTmQh74/jlYvMCHBjzdviefslUomfbafWo2emxL8eGdSPDKZjOd/PcXy/c0FT98wN5bNTEallJNRVM3QRm0SwKkXR4oFb2fYd6GY2748iCDAJ7f1YEzXzifdWvjPcTXHb0vxYaFTLNt7iRd+OyN+3dYIpknM2ISdSsHKO3vTvXFlD4y5FpOX7DdJZe0X7oaNlUJcv5vSM4ATORWcuVKJUi7jxXGxopYEzG8CgHHO/djIKB7/+USHEeJ/Fge1Eg9HNZ4OajwcrBuLD5ABGr2BoqoGiqoayK+oF3Ux14pSLuPDqQlUN+h47KcT4uVN9uI/peSIWwmteWxkFHOHhPPmxnN8vP0i47r7Eu/vzEu/n2F4Fy/USjnrTl7h2etjmN0/hNIaDUmvbG4z7Rhg7bx+PPpjqolDaRNRXg6kFVQR4WnP5ocHmXy/92tbTQqIJr6Z3YseQc6MeGeXSaGbuWgs5/IrGfXebpPbzekfwoLrmwudj7al89YmaWfp1ZviJO+j/xRHs8qYveywWc+WlkWHVm9gxf7LvPz7GTP3gmTLrCVPjo7mi90ZnR4PhrrbsfLOXmKGyuHGUUtto8bj9t6BzF91HI3ewA3xvrw3uTt55XXc9Mk+iqsb6B/uzlczeqJSyk0+H6K8HPjx3j44WltRp9HT5bnmQnDzQwOvys+jtEbDqPd2UVjVwJSeASy62TSh2MI/g6s5flv6VhY6xYx+IUxI8BO/LqxqwMHMmUtqdjnJLYynajR6Ziw9RFoL8aa3kzWr7uxNYKvsjL0XSqio03JrL6NI8LvD2YR72jMq1hudQeCZNadY8MtJtI2z9uduiGHDgwNozbJ9mYx8bxdTewayu0VGSEtaW39fK1UNOjKKajiQUcpvqXn8fDSHn1Jy+DElh1+PG3Np0gur/3ThYaWQ8fFtPXCxU0kKj/OvjAagsl7LGxva1gPMbYyp337OaPw1KNKDU3nGs+M4P0dRWNqUJrv9XKGk8GiZbNxERZ3WxAVX8piVMuQy47punplO2az+wW3e9vm1p1ArFbxu5kDz6/Fcor0d+eFu07j1L/ZcYmmLgnTe0AgOPT1Mcp1n1pwi+Ml1PPvLKRp0nYuuv1b2Xywh+dUtBD+5jgmf7DMpPD6flkTmorE8Odq4or79XCERz6xvs/CQyzApPOQyeGp0NG9sONfpwqOLjyPf3d1bLDwOXZIWHjP6BjP/u+Oibfq7k+KprNMyfekhiqsb6OLjyKeNYXHbzxVKCg8vRzVLZ/YUM4laFh7vTo6/qsJDEAQe/ymVwqoGwjzszHbQLPw7sRQfFjrNO5O7S9JR7dRKVGbmrocyS0VHTTBmxdz+5UEulzSPGXydbfjurt6EeUhNzA5nlpGaXc6DwyOQy2Btah41Gh33Dg5DJjO6ld72xUFKqo1dl2hvRy4tHGPixJlTVsftXx7ko20XSH3+Oj6fliT5ftM4ItTjnx9CZRTs9sbFVsWUJc36gF2PDRGFi29uSDMvBgaOLBgOwJWKOs5cqUQmM465mjwfuvo5icLR8MbI+aaRzoAIo1DQwdq0WLtUXEOd1rjVYY6MohpifY2bE3vSTVd22/LiALhYVMOPR7LpH+EuGqc18cB3x7lQWE1yiCuLzViuv/jbGb7enyl+7eloTeaisXwzu5fkel8fuEzUgg0EP7mOdzalUV7751drT+VWcN/KFIKfXEfwk+uY+vkBk99LYpALKQuGk7loLCNivBAEga1nC4h+doO4LtwadePvuXUn6vbegQzr4sXC9efa7VK1ZGi0Jz/e0wdPB+PfzMGMEmYsNRYeAyLcmT0ghHmrjqLRGRgR48UHUxPQ6A3MWXGEjKIafJ2sWTazJw7WVpy9Uinxj7FTKVg6I1ncbGnyXwGY0MPPbDpxe6zYf5ktZwtRKeR8OLWHRLhs4d+N5Tdp4arY9+RQQp4y6i3yK+tJDnY1qws4c6WSANfmfJiiqgZu++IgP93TVxT++Trb8NM9fZm1/LAkIfV0XiV1Wj3PXR/D6xvS2J1u3DR5ZXwcC/84x6FLpdz40V6WTEsk1tcJmUzGgaeHmRXvfX8km21phTw9JpqM18bw+e4MycZA0/ZNiLsdeeV1kvXAfwK9Qlz5YGoCm07n8+yvp8XL187rR6CbsXO0Pa2wTXHhGxO7ibqUtY0ruD2DXNHqDVwuqUUuM3ai6rR6VAo5wW621Gv17Dzf3CHZnV5s1vXzdONGiJeDtcn4pCkBuSnzZ1d6kehs2UQ3P+d2n/vrG85xXaw3T4yKZu+FYolXzJgPdrP3iaGMivPh5XGxktcG4NlfT1Nao+X+oeFinH3/CHcyF4010TABfLDtgkQAG+ZhR/9wd5KCXfF0UONsq8LRRkmdRk9eeT255bVkltSyJ724U54v4Z72vDMpnm7+zc9ZEAQ2nSngge+Otbk6G+llz8WiGrPvy1fGx/H+1nQT75P2mN4niGevjxHFmgczSpi57LBYeNw1MJS7VqRQrzUwNNqTj25NQKcXmLXsMCmXy3C0VrJ8VjJejtYUVtUzu/G2TXx6e6Lo6/LRtnRSG7UnKqWcdyZ17/TjBDh7pVJ0VX1qTLSJX4yFfzcWzYeFq6a1mG9EjBebz5jfjAhxt5OIS1vPmcGYpDrv26MmwkVXOxVzh4Tz6Y4LFFdrcLdX89CICD7flUFmSS0qpZxnxnRhWp8gUUSo0xtMTMmaiPd3YsH1MSQGuvDIj6lm0267+TtR3ThK+W/iaK3k6TFdmJQUwKTP9ktSddfc11f0Rsgtr2PsB7vNOnO21lqMfn+38QP9pjjUSgWP/phKVz8n7hscxr0rjxLj48gfDwxgR1ohM5YexstRzbuTunPrFweJ8LQ3cTuN9XXkdF6lye8YYEiUB9vTihjT1Zs/TubjbGtFyoIRJqFhQ9/aIdl+as3ERH9jJk5hNTd+tEdyoIvxceT7u3vjYG3FF7szzCYfD+/iyVu3xONsayoArdXoeGNDmlnh51/BmK7ePDwi0iRzpKZBx6/H83h6TdsOvX7ONlQ36MS11Jbc3MMfB2vlVT/u52+IYWaL1NdNp/O5f9UxGnQGBkS4c+/gMO5cfoSaxkLk82lJCALMXn6YfRdLsFcrWTE7mR6BLlTUapny+QGJcdkbN3cTC8wDGSWSLt3F18ZcVWBcnUbPDR/t4UJhNUOjPflyepLFxfRfgEXzYeFvRa1USObom88UMLyLp9nrXiquIdKrOc49o7iGWxbvJ6uF2NRGpeCzOxKZlCRtyZbWaFi0/iy3JgcS5eVAcXUDz/16muu7+TI02hONzsDza08zZ/kRcQyjVMjJXDSWr2ZIxyxgTNe9ZfF+7l91jIdHRJLx2hhm9guWXOdEToVYeIyK9ZbkgPwnsFcrmTskjB2PDSHCy4HQp/+QFB4HnhomFh4VtVpmLT3cpiX4xgebVxmPZZVx9kolKoWcMXE+bGksFoc0OocCdA90BppHLsO6eIneLbZm9D1NOh5zK6BJjbofjU7AQa2kvFbL6TzTDkGvUDeTy1ryU0oOO9IKCfe0582J8ZLvnblSybSvDlFRp2XOgFAWTehqcvstZwsZ9d5u1p24YpIzY6tS8sKNsWQuGsulhWP4enYyfcPafzxt0cXHkfnDItjzxBAyF40lc9FYPrktUVJ4pOVX8dTqE8Q+v7HNwsPF1govRzW55XVmC48vpydxKrfiqgoPlVLOF9OSJIXHyoOXueebFBp0xg7H/UMjuHtFirhe2zSmvHPFEfZdLMFOpWD5LGPhUd2gY8ayQ5LCY/6wCLHwKKpqkBQeKQuGX1XhAfDyujNcKKzGw0HNmxMt9un/i1g6HxaumePZ5ZKZbv9wdzHGvjVNZ8lNeDmqWTmnl+TDWRAE3t50no+2m/o/3NYrkMp6Hb81ulCOivWmq78T729NR6Mz4OGg5p1J8QyIaE4mNRgEbvlsv9k8C7kM5gwI5a6Bobjbq/n6wGWebSNWvV+4GxGeDuxKL/rbOiIxPo5M6OHHxER/Sms0krVEMGblHFkwXLRgr27QMeOrQ5LCpCWtVxkf+O4Yvx7PY2KiP6+Mj6PHy5up1ej5bV5/XvjtNCmXy3hzYjcmJvrTZ+E28hstywur6nni55MMivQQRzGtaTlea+L7u3ozeckB3O3VJAQ6s/lMAY9eF8m8oRGS6/1+Io953x6jPTwd1Gx8cCAudio+3n5BkhfS9NqtmJ2Mu72avReKua0Ns7n+4e48NCJCtA7vLIIgoNEbqNPoUSsVWFuZX6c2R255HRtO5fPZzottanIAEhoLv5bjx5bMHxqOnVrJ25vPX5Xfh5ejmi+n9yTOz0l8Lu9sPs+HjSOmKT0DuL6bL/d8k0J1g47kEFeWzeyJXCbjzhVH2J1ejK1KwYpZySQFu1KvNaZQtww7nNDDr3HFXWbSefzpnj5iIdpZNpy6wj3fHEUmg69n9aJ/o+7Iwj8fS+fDwn+E7gHOLL692T1yz4ViejR+iLb+bD6dVylZty2obGDSZwckZ8MymYxHR0bx4o2xJrdfeTCL6notj4+KwkohY8PpfH5OyeHNid2I8LSnqKqBO748xGt/nBU/nOVyGT/f21cUXLbEIBhTUvsu2sYLa08zLNqTzEVjWX1fX+xUrfNNSli2L5OMohri/Z14cnQ0dw4IISHQ2ezGT2dwUCsZFu3J02Oi2fjgQNbN749aKaf7S5tNCo9PbutB6vPXiYVHcXUDt35+oM3CY88TQySFR1ZJrbhy3JSpU6vR4+dsQ7C7rbga3SvEjVO5leRX1mNjpaBPmJu4ndHedpDCzIHY2VaFSiGnuLqB4EZtijk/kH5h7iZnxa1TiwurGnjsp1QMBoH7BoeZJJieuVLJuI/2ciavkn7h7mx/dLD51+VCMTd/up9Jn+3nt9Q86jSd23SRyWSolQqcbVXYqBTtFh4Gg8C5/Eo+3XGR5Fe30G/RNl7+/UybhUfPYBeSQ1w5llVutvDwdbJm6YyebDpTwML1566q8Oji48gvc/uJhYdWb+Cxn06IhceDwyMYHOXBrGWHqW7Q0SvElaUzjIXHXV+niIXHspnGwkOrNzB35VFJ4dE/3F0S7Nay8HhqdPRVFx555XWii/FdA0Mthcf/MBbBqYU/xag4b56/IYYXG1ftjmaVi/4OrcPojmeX0zPYhcOZxoNmaY2GqUsOsKyxndvE9L7BRn3H98fF1E+A7WlF5JTV8dYt8Sxaf46M4hqe/PkkL9wYw4mcClYezGLJrgz2XSzmvckJ4uaGu72azEVj2XKmgDktslDAODJYti+TlQcvMyHBn3sHh3H6pVEYDAJf7rkkCt6aSM2pEEV0YLQ5HxXnTRcfR/IaW+WV9Tqq63XUaXWolQpsVAqslQo8HNQEu9kS5G6Ht6M1GUXVLN2XyWvvmU8mvaN3EC+Ni5Uc7E7nVXDfyqMmHilNbHl4IP4u0hXm97emozMIDIz0IM7Pibc2GTsHNyX4cTCjFJ1BINDVlkA3W15q/D0OifbA2kohpt62t0khN3Mwziiqppu/E0cul4npv8eyyimsrMezxWaSi52KXiGu7LvYfEAzF1a35Wwhn+68yNwh4bw6vivltVrWn2oOp8str+PmT/fxyvg4JvTw49zLo3ju11P8cCTH5L6aHEvVSjnXxXrTN8yNnsEuhHnYX3V7v7RGw8Wiao5eLmPPhWJ2m9nqMcf13XzIK68T/xbM8fXsZNafymfW8sNXbY53fTcfFt3cTSxCaxp03LfyKDvPF6GQy3h1fBwGAe5beRSDACNjvXh/SgIyGdz9dQq7zhdhY6Vg6YyeJIe4ojcIPPT9cUkBGe3twCeN67YAt33RPGrpGezC3a0yfTpCqzfw4HfHqajT0s3fiUdGdN563cK/D8vYxcJfwou/nWbp3kzxa38XG3LKzHtA9A1zkxxsbFUKvpzeU+KECkaPhLu+PkJVvdQjw8XWildv6sq3B7PEMc8dvYNICnbh+bWnKa/VolLImTc0nHsGhUk2NQRB4KXfz0gea2uGd/FkSs9ABkd5oFTIqdfq+XLPJZN2f2ewtpJjq1JSUac1SQVui4eGR0q2NMB4Rv3Nwcu8su5sm2e/2x4ZRKiHveSyM3mVXP/hbgwC/DK3H252Kga9uR2DYLz+57szWHUom9t6BfLCjbH0fm0rJTUavpqRxNBoL5746QTfH8km0su+TTOxUA87k3HU/KHhaPQCi3deZHJSAGkFVRzPLjdr8LVifybPtdpWifFx5EyrFFaZDBbfnsjIWG8MBoEZyw6zy8woaFSsN6/eFIebvZrU7HKmfn5AIlRtC5VCTpS3AwGuNvi72GKnUqK2kqNWytHpBSrrtVTWaamo03Iuv+qqgwf7hrkR6eVAao75LkcT70yKRyGX8fLvZ64pT+jlcbHc3rtZhF1U1cCsZYc5mVuBjZWCj29L4ExepWi+NjU5gFfGd0VnMHDvN0fZdq4Qays5S2cY3YkNBoEnV5+QFHLejtasmdtXFI63dje9tHDMVRdyL6w9zbJ9mdipFKybP4Bg93/+GrwFKRaHUwv/FaZ/dUiiCzCnBWhiYKSH5MChVspZfHsiQ6KlwtVLxTXcteKIyaaFQi7j4RGR1DTo+KQxaCzUw47HR0bx7aFs8b7DPe1ZOKErPVu1fwVB4ImfT5g9M27Cy1Ft3DZJChDtp8Eo3ly88yIbT19bkq45Jib68+h1UWbzR07klPPcr6c53sI5tjVHFgyX5LKAVPMypqs3n9yWKLrCDohwZ9nMZJJf3UJJjYavZydTrzVw54ojuNurOfDUUJQKOdO+OsSu80XtWtOHe9qbBMyNiPFiSs8AZi8/QqiHHRMT/XljQxoDIz1YMStZct3SGg29XtuCVt/xR5FaKWflnF4kBbu2+zt0tFZy/9AIpvUNwkouZ+u5Qp5Zc7Jd3cXfQZyfI4MjPcmrqGPz6YJ2zebuHxrO4ChP3tqYJhltdBZ/Fxs+ua2HZJ33UnEN0786RFZpLa52Kr6YnsTa43miYHXekHAeuS4SrV7gvpUpbDlrLDy+mt6TvuHuCILAi7+dkQhcXe1UrLqzN1HeRr3Wkl0XxYBDMBrfmVvNbo+WoZGf3WEsMC38+7AUHxb+a/RduJW8imbPh6Z8D3MHr9bJpVYKGR9MSWB0q9yG6gYdj/xw3OzBfkCEO+O7+/HGxnMUVDYgl8F9g8MJdrdj4R9nKWmMEr+1VyBPjIoWRwBNGAwCD/9wnF9axNCbIynIhetivRgR401IqzMynd7A0axyDmeWknK5jMOZpSbdmibc7FRE+zgwOs6HUXHeJgVDS45nl/PZzotsOJ3f5oHfXq3k2HMjRD1IS5pEtLYqBVsfGYRaqWDA69uo0ehZNrMnSrmc2788KIpZ7//2GBtO53PngBCeGWt0khzy1g6TNdrWmFvD9Xex4ff7+9P9JWMo4Y/39OGWxfuxUshIeXYEjq1My+5bmcIfJ/MllznZWJnd+HCwVrJiVrK49fPVnku81IYjaICrDXcOCGVioj82VgqOZpWz+mgOKw9mmb3+X8HoOG8Sg1yoqtex9VyBmJDbFvcODmNCgh/vbjlv8hp0luFdPHn7lu44tdDm7L9Ywtxvj1JaoyHQ1ZYvpyfx4bYLrG0UbTet3mp0BuZ+e5TNZwpQK+V8NaOnmEL79qY0USMCRu3Pt3N6i54ba1PzJKnJV5vZApByuZQpSw6g1Qs8NDySB4ZHdHwjC/9ILMWHhf8agiAQ/sx6ccTgbGuFg7WS7NI6lHKZJKUUjJskey80n+XJZEa/gFuSpKJCg0Hgkx0XeHvzeZMDsbu9mhdujGHT6QLxgzXGx5HnbohhzdFcvj9iTNL0cFDz/A0xjO3qY9ISNhgE3t+azvtb0zt8jhGe9gyP8aJ3qBvdA5xNCpo/Q2FVPX+cuMKvqXnttuYBHhgWwUMjIs1+L72gius/3EODzsBz18cwq38Ir647w+e7LxHr68hv8/rzwPfH+S01jzt6B/HA8Aj6LNyKVi+w4cEBRHs7ojcIRD+7vt2OhLu9CpBRXG3aUTjxwnVM/HQf5wuqWXx7Im9vSiO9sJrXb+7K5J6Bkuvuu1jMrZ+bbqmYe8+Asej6qlGPALSZ9dKEo7WSCT38ub6bDz0CXTAIAseyjQXjuhNXJJtYV4OXo5ob433pHuCCQm7UPG06nU9mG5qclrxwQwzXxXrz4bZ0fjiS0+mxXEtkMnhyVDR3DQwV39OCYNQrLVx/Dr1BoJu/Ex9N7cEzv5xkd3oxSrmMtyfFM667H7UaHXNXHmV7WhEqpZwvpyeJG2OLd15kUQtDPkdrJd/e2VsUsLb+nR1+ZrhoKtdZ8ivqueGjPRRVNTAq1ptPbushGTda+HdhKT4s/FdpnTob7GaLvjHVVaWUm2gWhnfxFMPkmrh/aDgPDY80+SDadq6AB1YdN2lfy2Rw76AworwdeGHtacoadR8PjYg0mov9ekrUJSQGufD0mOg2Vy5P5JRz40d7zX6vNTIZRHo60CPIhRgfB4Ld7Qh2s8PHybrDyO86jZ6s0lrSC6s4klnGkculnMmr7JRNdsqC4bi10TWpqNNy86f7uFBYzcBID5bN6ElueR3D39lJg87Aspk96ernRJ9F29DoDPx+f382nSngg63pdA9w5pe5/QDILq1lwBvb230cXXwcSS+oMlsg/HhPH9Yez+PrA5e5o3cQPs7WvLEhjeQQV5NcFkEQuP7DPVdVBKgUchbd3JUJPYz+MDq9gZs+2deh46i3ozX9wt1JCnYhMciFUHc7lAo51Q06sktrySmro1ajo16rF51HHayVOFhbNf5Xid4gcKm4hmNZ5aRcLuPMlcpOFw/LZvYkwsuBpXsu8fWBy9fsquvtaM0HUxPEAgyMxmlP/nxSLMInJPjxyMgo7lt5lNTscmysFHx6ew8GR3lSWqNh1rLDHM8ux9pKzmd3JDEo0lh4fL0/U+Ia66BW8s2cXsQ3bqy1LvbM6Y06ol6rZ/Jn+0nNqSDKy8G4aXaN22MW/hlYig8L/3VaFyDd/J0oq9WQXVpnNpXzxnhffj+RJznwju3mw9u3xGNtJV19vVhUzV0rjpiNpE8McmHB2C58tO2CqMyPD3Dmueu7sDu9mMU7L4oHlOtivHh8VLS4FdOamgYdj/2Uek2tcCuFDDc7NXZqBfbWVtirFej0AvVaPXVaPWW12quyxW5ixaxkBkZ6tPl9rd7ArGWH2Z1ejJejmt/u74+HvZrZy4+w7VwhfULd+PbOXry/NZ33tqQT7+/Ed3f1oe+irZTVavn41h6M7WYce7XnmdHE4CgPdqSZ9/94aVwsfs42zF5+BH8XG368pw99F21DEGD340MkOhqAdSeuSHJCOsusfiE8PipKfJ+cyq3g+g/3dPr2CrkMX2drAl1tcbdXY93o5aFSyqnT6qmu11HdoKOsVsvlklqzXZ6OmJDgx4LrY8gtq+Pz3RmsO3nlmjodTUxM9OfZ62MkXbfLJTXc/XUK5/KrUMplLBjbheQQN+5ccYTc8jqcba1YOqMnCYEu5JTVMu2rQ2QU1eBsa8WX03uSGGQcY/14JFsSXminUrBidi/x+1cq6uizcJv4/dX39ZVsq3UGQRB45IdUVh/LxdnWirVz+4txARb+vViKDwv/CPQGgbAWBUj/cHcul9aQXVqHvVqJRmeQrNJOTPTnj5NXJJsJ3QOc+Xxakkk7t6pey8M/pJq1dXe0VvL8DbHoDcbNluoGHTIZTE0OZFqfIJbvy+T7w9kYBOOBZ3LPAB4cFiFZAW1NaY3GxOPgP8kX05IYHuPV7nW0egMPfHeMP07mY2Ol4Md7+hDn5yTO5a0UMtY/MBBfZ2v6v76d0hoNH92aQHmtlgW/nMLfxYYdjw4WOzZtWZa3ZHJSgDjWas3U5ECevb4L3V/cjEZvYMvDA3lh7Rn2XCg2O9s3GARu/HhPhxoJc0R5OfDO5HgxyA6MXbJZy460c6u/lxgfR14eH0e8vxM70or4fHcGBy+Z5iBdDZ4Oahbd3JWh0dL3wo60QuavOkZlvQ53exUf39qD4moNj/6YSp1WT5CbUfMR7unAufxKpn91iILKBnydrFkxO1k0+2u9eWRjZXQ2bequVNRpiX9xk/j9zrwvzdH03lLIZayYlSxqTCz8u7EUHxb+MbR2PBwQ4U5mibEAcbRWIoBEnDkpyZ9t5wolK4Z+zjZ8NaOnqK5vwmAQWL4/s03zpYGRHjwwLIIV+zP5tVFQ6mxrxWMjo0gKcuXNjWmilbi1lZzJSQHMGRBqckbempoGHV8fuCyZh/8djO3qwyvj43CxM80laU29Vs+D3x1nw+l8VAo5n91h3BzKLq1lzPu7qWrQiRqRJpfQQFdbtjw8iFHv7SKjuEbUhjTx4HfHOhTizh8aLglka0nTCOeOLw+yO72YBWO74Gav4qHvU/F3sWHnY0NMDMY6021pC7nMKCx+eEQUri1es0vFNdz99ZE2V4X/SsZ09eaBYZFEetmTVlDFmqO5rDmW+5ds2UxI8OP5G2IlotLWWqjuAc58clsPVh3KEoWiAyLc+XBqAs62Kg5mlDBnhXF9PdLLnuWzksV12dbusWqlnGUzk8UV+NaZTubWpjvD7vQipn91CIOAyXvOwr8bS/Fh4R9F6w+t5BBXrlTUkV1qbAUr5TJJsTGhhx/HssolWxb2aiUf3ZrA4CjTDJlz+ZU8+N1xs74LtioFj4+MItLbgRfXniGtwHidrn5OvDguFp1eYOH6s6K4Uy6Dsd18uXtgqCis64jKei0bT+Wz8mBWu+uwHRHl5cCMfsHclOBnMmpqj4LKeu5acYTUnApUCjmL7+jB0Ggv6jR6Ji/Zz4mcCnoEOvPD3X2orNcx6M3tVNXreH9KdwQBHvz+OI7WSvY9NUyyqTD07R0d2sm/Mj6OBW3Y0ltbyTn1wkiW77/My7+foXeoK0tnJIsjnk9u68GYVptNAPevOiba6INR22FtJaeyjQ2i1jhYK7m9dxAz+gbj1aKbJQgCp/Mq+XBb+l+2Jn1Tgh9TegbQPdAZtVJBdmktG0/ns/porolPybXi4aDmtZu6MqJVh6G0RsMTP58Qu39TkwN5bGQUj/90Qiyq5/QP4cnR0SgVcjacusL8746j0RnoGezCF9N64mRrhSAIvL4hjcU7L4r3rVIa122bHEZbj1HnDQnn0ZFXbwKWWVzDuI/3UlGnZWKivyW35X8MS/Fh4R9HvVZP9LPNBUh8gDOlNQ1iB8RKIRfXYsHo0JhdVidaf4OxMHjxxlju6BNs9v7f2JDGV3svAcZxio2VQgxG6xHozGsTurLvQgnvbj4vClZHx3nz0IhIiqoaWLzzosShsn+4O7P6BzMwwqND8ag5BEGgukFHXnk9eRV1yGUyFDIZcjl4Oljj52yDjarzRYY5tp0r4ImfT1JU1YCzrRWf3NaDvmHuGAwC81Yd5Y+T+bjYWrF2Xn8CXG159MdUfkrJIcbHkTVz+zLinV1kldby2Mgo5g4JF++3ukFH1xc2duisueSORO76OsXkcgdrJVX1On6/vz9ONlYMeGM7MhkcfGoYXx+4zIfbLpAQ6Mya+/qZ3Lawqp7r3t0lCczzczaeneeWm/eNMYeVQsaoOB9ujPdlYKQ7aqX0tRYEgSsV9WSV1nIqt4KzV6rIK6+jtEaD1mBAKZfhbq/G00FNhJcDkV4OhHrYEehqK64212v1HLpUyo60InacL/zLs38mJfnz1OguJt2vneeLePTHVIqqGlAp5Lw0LpbeoUZ9R3phNSqlnIU3deXmRKMY95sDl3n211MIglHr9MHUBKytFBgMAs/+ekqyeqxSyFkyLVEs9AVBIOSp5sJjfHdf3puScNXPpbpBx00f7yW9sJruAc58d1fvqyqyLfzzsRQfFv6RaHQGIhc0j2CivR1o0Bm4VFyDrUqBs42VxCNkeBcvtHqDSaDZjL7BLBjbxWxB0PJDWSmX4eVoTXF1Aw06AyqFnLlDwrk50Y93N6ez+lgOgmDcWLmhmy8PDo+gTqtnya4Mfj/RLAj0clRzU4I/tyT5E3aViv6/i8Kqet7YkMZPKUaDrUgvez6flkSQmx0Gg8BTq0/y/ZFsrBQyVs7pTXKIK/suFHPrFweRyeDne/uSklnGq3+cxd1eza7HB2Orau56dHb8sXZeP7ObQQMi3NmdXswr4+O4vXcQN32yl2NZ5cZV524+9F+0HY3ewM/39jG7dbTxdD53typqegYbvTOu1lkUjDqgvmHu9Ap1pWewKxFe9ibFSEdodAYyS2o4kVPByZxyTuRWcCav8pq3VdqjR6AzL9wYKzEMA+OG1KL1Z0U30XBPe96b3J3SGg3zvj1KZb0OL0c1n92RRPcAZwRB4N0t6XzQuEI+NTmQl8fFolTIjVkvP6ZKRmtWChmf3pYo0XH0em0LBZXGsVF8gDO/zjUtGDvCYBC4+5sUNp8pwNPBKIT2akdjZeHfiaX4sPCPxVwBYm2l4Hh2OSqlnAAXG8kWS49AZ/xdbMXVwSZ6Brvw4dQeZh1BS6obeHL1SbEd7WCtRC6TiYZVfs42PDE6mkgve97bnM6G08ZtFrkMbkrw54FhEchksGxfJquP5ojhamDcppnQw4/hXbz+Kx+eFbValu3L5LNdF6nV6JHJYHa/EB4dadz20OoNPLX6JD+l5CCXwXtTErgx3peyGg2j3t9FQWUDt/UKZP6wCIa+tYMajZ43JnZjUitflYXrz/LZzowOH8+hZ4aR/OpWk8vnDQnno+0XuLmHP29PiheNwHoEOrP6vn48/lMqPxzJYUSMlxjf3pomu+2WDIhwx1al+NNjE7kM/FxsCHazw8NBjYNaib21EmulggadgQadcc22rFZDXnkdueV1FFY1XHXGytXi6aDmydHRjO/uZ7Jmfiq3gge+Oyb+fczoG8zjo6JYti+TtzamYRCM6bif3Z6Ip6M19Vo9T685yeqjuYDRF+bB4RHIZDLqtXruX3VMIthWKeR8eGuC6C4qCAIj3t0lutfaqRScfmnUNT2vdzef5/2t6agUcr6/u7doEGfhfwtL8WHhH03rAsTdXk03fye2nStELjN6R7T0e3CxtWJioj/L91+WCEtd7VS8O7m76E3QEkEQ+PloLq+uOyMWD/Zqoz9D05pvQqAzC8bGoFbKeXfzeXE1VyGXMSrOm5l9g+nq78S2s4X8mJLDjrRCySpwVz8nhnXxZFi0F7G+jn+bOZIgCJy9UsW3hy7zc0qu+PjjA5x5dmwXMTm0vFbDfSuPsu9iCXIZvDu5O+O6+6E3CMxZfpjtaUWEetjx+/39mb/qOFvOFtA9wJnV9/Y1eeyj39/N2U5oFjJeGyPRAjTx/pTuPPDdcULd7dj26GAKK+vptXCruGbboNMz4t1dCI2ZMy0Tj5vQ6Q3MXn7EpPPVO9SVpCBXluzOuKqU138yKoWc2QNCmDsk3MQhVG8wZuS8u/k8OoOAp4OaN2+JJ8rLgYd/OC7mJN2S6M8rN8WhVirIK6/jnm9SOJFTgUIu48UbjXkvYBRM3/X1EYm5n71ayZJpifQNM2o8BEFgwBvbJflM15LXArDh1BXu+ca4Qv3mRFMDQQv/O1iKDwv/eFoXIGCcbzfldHTzd+JEjtQsav7QcH4+miuZ+8tkMHdwOA8OjzA7himr0bBw/Vnxfu1UCrydrLlSUS+u9F7fzYcnRkVTXN3AO5vPS3QfXf2cmNE3mOvjfaio1bL6WC7rT+VLtChgLIQSApzpHuBMQqAL3QKcTCzEr4aKOi2p2eXsvVjMhlP5khTbaG8H5g4J5/puzU6tBzNKePiHVHLL67BTKfhgagLDuhhb5y//foYv91xCrZTz8719Scuv4pEfU7FSyPjt/v5Ee0v/zgqr6s12M8yRuWgswU+uM7n817n9uOmTvRgEOPj0MLwcrbn9i4PsuVDMPYPCeHJ0NI/8kMrPR3PoFeLKd3f1Nntgq6rXctsXB03eC75O1jxyXRQrD17maAdOsP9N2svEAWOhO767H/OHhRPkZhqkdrGomid+OsGRy8b029Fx3rx2U1cOZ5byxM8nKKvVYmOl4IUbY5iUFIBMJuNghtFWvbhag4utFR/f2oO+jausFXVaZi49JHnN3O1VLJuZLAqsBUEg8ZUtlLbQYF18bYzJZlJnOJdfyYRP9lGr0TOzXzDP3xB71fdh4d+Dpfiw8K/AYBCIamXfPXdIGB9vN6ru4/wcTRw/Z/QN5nxBlSQVF6BXiCsfTk1o06vjYEYJz/xySmwhR3rZ42BtxdGsMgTBeOZ5a69A7hoYSnmtlmX7LvHL8TzxzNrdXsUtSQGM7+5HlLcDhVX17EgrYtvZQnanF1FjJjXVy1FNkKsdgW62BLra4mKnwl6twE6lxFalRGsw0KDV06AzUFqjIaesjpyyWi4W1ZgEtamVcoZEeTKtbxB9Qt3EA3VFnZb3t6SzdN8lBMGYZbLkjiS6+Bj/dlquT350awLR3g7c+NFeajV6Hr0uknlDTXM0fjiSzeMtTKbao63i4/u7evPqH2c5kVPBu5PjuSnBX9RxONtaceCpYRRXNzDsbaPr6odTE7gh3tfsz6io0zLty4OktipAFHIZc/qHEOxux0fbLlyVGPXvxsZKgUEQ0BsEs+6vTUXH/UPDzaa31mv1fLz9Ap/tzECjN2CvVvLCjbFc382HV9ed5esDRs1HnJ8j709JIMzDHkEQ+PrAZV767Qw6g0AXH0eW3JEoro4XVNYzY+lhSUcrwNWGr2f1Eh+DIAhEP7tBomPJeG3MNXX1ymo03PjxHrJL6+gb5saKWcnXJNy28O/BUnxY+NfQeq4Mxt3/V9adwSAYz/Ir6rRcaSFEHR3njYeDmhUtIrzBWCC8PyWhTcMijc7A57sz+GBrOg06A3KZsbNR3aAT5+hWChk3Jfhx7+BwnGysWHUoi6/3Xya/svnnR3k5cGN3X26M9yXA1ZYGnZ4zeZUczzZGpR/LLmszzfdqCHKzpUegC8O7eDE4ykNiPV2n0fP94Sw+2HZBPEOdlGR0vXSwNq5PfrTN6P8A8NToaKb2CuTmT/aRXlhNn1A3vp5t/mBw6+cHTIo7c6gUcs6/Otps8fH+lO6cuVLJZzszmJjoz1u3xKM3CAx8Yzu55XVivsv7W9J5d8t5PB3UbH5okMTDoiVV9VruX3XMrJtqgKsNcweHo9EbWLH/sknh9p/Cz9mGGo0Orc5gthiFjosOgO1phTz/62mySo3drsFRHrw8Lo4ajY75q46JfiV3DjBqfdRKBQ06Pc/+ckrs8N0Q78sbN3cTt6lO5VYwZ/kRyfs42tuBFbOSxYK99TqtWinn3MujrmnUotUbmLH0EHsvlBDgasPauf075Vdj4d+Npfiw8K9j5tJDbG9xYFk4oSsvrD1Ng85AmIcdVgq5ZMsh2tuBiYn+vLP5vMQRVSaD+UMjuH9oeJtnWZdLanhl3VlRbKdWyonydkBvEEStiVwGY7r6MHdIOOGe9mw+U8CaY7nsTCuSuLLG+zsxKNKDAZEedA9wFlcwy2s1ZJbUklVaS1ZJDVmltVTUaalp0FPdoKNOo0epkGFtZbTydrS2wt/FBn8XY5ekq7+T2cTb7NJafjySzdcHLotalnBPexaM7SKuRmr1BhasOSU6jz42Moo7B4QyY+kh9l0swdNBzbr5A8yGgOWW19H/9W3iqEAuo82smaZVWXPFxzNjuhDl7cC0rw7h62TN3ieHIpPJxPj1aG8H1j8wgAadgdHv7+ZScQ03Jfjx7uTu5n8YRg3IwvXn+HLPJbPfD/e0Z3qfIDwcrNl8poAtZwvMpuL+VdirlXg7WWMQBAwGgazS2jZfKwdrJRMT/ZneJ7jNouNKRR0v/XaG9aeMAmhvR2uevyGGUXHefH3gMq+sO4tGZ8DdXs07k+JFm/38inru+SaF49nlyGXwRKuguQ2n8nno++OSSIPkYFc+n54k2rO3Ljxc7VSkLBh+TYWHwSDwyI+prDmWi61Kwer7+pqM9iz8b2IpPiz8K1nwy0m+OdDsN/Dy+Dje3pRGea0WXydrfJ1txNk3GM8iXx4Xx+e7M0xi37v6OfHWLfEmrqgtSblcyqL15zicabxPJxsreoe6UtOgZ8+FZt1H3zA3piYHMjLWmzqNng2nr/Dr8Tz2Z5RI5vn2aiW9Q13pFeJGrK8jMb6OONv+ubM9nd7AmSuV7L9Ywh+ttCYBrjbcNTCMKT0DxKInq6SWB78/xtEs44HouetjuK13EPNXHWP9qXzsVAq+v7tPmwZqH21L561N58Wv/Zxt2hxn3NE7iJfHx5ktPmb2C+bxkdF0f2kTDToDf8wfQIyvIxW1Wvos2kqtRi/myBzNKmPip/swCMaOybjufu2+JtvTCnn8pxNtZuPYqRSMjPNmcJQnKoWcU7kVHM0qIzW7vM2OREdYW8kJ97THycYKgwH0gkBeeZ1EkGmOaG8HpvUJZnyCr2SVuSUanYEV+zN5d/N5ajR6FHIZM/sG8+CISAor63lq9UnRln1IlAdv3hIvFqYpl0u555ujFFU14GRjxYdTE8SiRBAEPt15kTc2pEl+3vAunnx0aw/RY6N1DIK/iw27Hx9yTYWHIAi8uu4sX+y5hEIu44tpSQyJNjUGtPC/iaX4sPCvpXWeyGMjo1h1KIucsjpsVQr6hLqJWylNzB8WQU5ZrbhS2IRKIeeB4RHcPTC0zS6IIAhsO1fI6xvOie1sDwc1vUPdqKjTsju9SCww3OxUTEz0Z0pyICHudhRWGnUfuy8Usye9SLKS24Sfsw1dfBzxd7HB28kaHydrvBytsbFSoLaSo1LIkclkVNfrqKrXUlmvJbu0joziGi4VV3Myp0JywJTLoHeoG7f3DmJkrLcoAtQbBL49lMXr689R3aDDQa3k/and6RvmLq5UqhRyvpie1GYwnd4gMPTtHRJxqznhbxNNK7rmio9h0Z58OaMnd644wuYzBcwfFsHDIyKB5rXLYDdbNj88CCuFnHc2n+eDrenYWClYM7fjM+WyGg3vbjnPyoNZ7Qa0WSlkxPg60c3PiTg/R1RKOVq9gFZvoLRaQ11j0F9TJ8rGSoEgQF2jFsdgENALAmW1Wk7klEuMz9rCVqVgRIwXt/UKomewS5sHcb1BYG1qLu9sPi+O6XoEOvPqTV0J87Dns50X+XD7BTQ6AzZWCh4fFcWMvsHIZDL0BoFPtl/gva3p6A0CUV4OLJmWKIpWG3R6nlp90uRv4pZEfxZO6Cr+PbSOP4jycmDjQwM7fI5tsXjnRTF24O1b4kWTMwv/P7AUHxb+1WxPK2Tm0sPi17P6hZBWUCmuBg6K9OB0XoXEkn1gpAcjunjy9ubzJgeIrn5OvHlLt3YPaHqDwJpjubyzKU00OrNTKRgQYdRa7LlQJBotgdEifmxXH66L9cLHyQaDQeDMlUp2pxeTml3O6SsVf4nuA4wGWT2DXRkY6cHort54Okgtw3enF7Nw/TlRSNgz2IV3JnVHbSXnrhUpoofKkjsSzdrTN9Ha2MvNTkWwux0pLbpNLfl1bj/iA5wJe/oPkwIgxN2O7Y8OZvXRHB7+IZVIL3s2PTQIMDpdDn5zO8XVGl4eZ3Ss1RsEZiw9xO70YnydrPn5vr5i5kh7pBdU8d6WdNafutLmyMMcMplRFKpSGgtAhdxYAFZrdNfk5WFtJWdYtBfXd/NhcJRnu861TQXvmxvTxFGih4OaR6+L5JbEAI5ll/HkzydJb9SuDIr04JXxcaJwNKesloe+Py527G6I92XRhK6iJqikuoF7vkkRv9/EPYPCeGJUlFgMafUGIloUHm05znaWlmm4T4+J5q6BYdd8Xxb+nViKDwv/etILqhjx7i7x696hrnTzd2bJLqPxVXyAMyqFTPIBa69W8vwNMfx24gq7WnlDWClkzB8awT2Dw8QRhTk0OgO/peaxZFeGmAOjkMsYHedNiLsdp3Ir2HG+SHKA6h7gzKg4b66L8SLE3U6yiXImr5L0wiquVNSTX1HPlQqjWVWD1mhk1aAzIAjGx+5gbfzn62xDiLsdwW52xPg6EuXlYLJtUK/Vs/F0Pkt2ZYg6FScbKx4eEcntvYM4kFHCwz8cp6DS2I5ffHuiGBBmDkEQGP/xXslGyZ0DQvh8t3l9BcDx50bgbKsi4aVNZrs+F18bQ3W9jsRXNqMzCGx5eBDhnkaH2K/3Z/Lsr6dxs1Ox9ZFBONuqKKvRcPPifWQU1RDpZc+3d/Y2q3sxR3ZpLUv3ZrI2Ne+aIu+vBT9nG/qGuTEw0oOh0Z4SQXBbHLpUyhsbzonjQ0drJfcMDmNm3xC0BgNvbDgnjh7d7FQ8d0MMN8b7iu+pX4/nsuCXU1TV67BXK3lpXCw3JfiJ308vqGLW8sOSwlcpl/H8DTGSWILWcQf9w935Zk6va34ttp4t4K6vU9AbBO4aGMrTY7pc831Z+PdiKT4s/E9QUt1A4itbJJe9Mymep9ecpF5rwN/Fhh6BLibup3cOCMHL0Zo3N6aZWF/H+TmyaEK3DkPjBEFg5/kiluzKkGx+RHk50C/cHZVSzpHMUlIaV3Wb8HJUkxziRnKIK71DXAn3tP/LgrOq6rUculTKxtP5rD+ZL+bT2FgpmJIcwP1DI1AqZLyz6bzoDBrmYccX03sS0obIsYnWXQ+lXMbL4+N4avXJNm+TuWgsACPe2Smepbvbq8WD/45HBxPsbseMpYfYkVbE3YNCeWq08aCk1RuFphcKq0UXVDCe1d/86T4KKhsI87Bj5ZzeZl1s20KnN3DwUinrT13hYEap+Lj+LHIZBLvbEevrRO9QV/qFuRPkZtup360gCOw4X8TnLd5L1lZyZvYL4Z6BYThYK/nleC6L1p8T028nJfnz9Jguomaoql7Lc7+eZs0x4xglIdCZ9ycnEOjWnMC8I62Q+789Jr4vwGjQ98lt0sKzuLqBpBZ/V+25zHaGlMul3PbFQeq1Bib08OOtifF/m+GehX82luLDwv8M5szIls3syXONq4jWVnJuSvDjt9QrYogcGEctDwyL4P2t6ZzMlWoWZDKYnBTAoyOjOnVmfTKngi/2ZLD+VL7o+6GUyxgS7cmgSA/qtXp2pBVx6FKpZBMGjKObcC8HIjztifSyJ8TdHg8HNW52Ktzt1SbteYNBoLJeS2mNhvzKetILqkkvrOJkbiWncisk4w0/ZxtuSTJuUNhbK/kpJYe3N6WJ46jbegXyzNgubQodm2jQ6Rn13m6JaHdcd19kIOZ+KOQyk9FKU/ExZcl+DmQYBZHJIa4cahRHfnpbD0Z39RELGzc7FfueGipmqqRcLmPi4n0IAiy+vQej4owJtxlF1dz2xUGuVNTj42TNkjuS6OrfuYTh1hRXN3A8q5yLRdVcKq7hUnENFXVaKuq0VNZp0egNWCnkjf9kONuq8HJU4+Vo1OYEudrSxceRSC+Hqw4BrNfq+fV4Ll/sviQWQQq5jCk9A5g/LAIvR2v2pBfz2h9nxQTcEHc7Xr0pTnQaNb5OpTz4/XGyS+uQy+D+VttcTfqPd7ecl4yeor0d+HxakjiuAaPp16j3dotftyz8roXzBVXcsng/FXVahkR5sGRaUrudRQv/21iKDwv/c7Rexf30th6sOpwtjlduiPclu7TWJNJ+0YSu5FXU8+mOCxIzMzCuPz4wLILpfYM79YFZUatl7Yk8fjqSLRlP2Fgp6B/hzoAId1xsVWQU1XAos4SUy2XUa9u3/1Yp5chlIJfJkMtk1Gn17Qoog91s6Rfuzo3xvvQMdqWqXsdPR3P4cneGqFUJ9bDj+RtizdrOm6P1hotCLmPNfX0Z9/Fesavj62QtCf2D5uJj3rdH+f3EFcBY1DWt+DbFruv0Bvq9vo2CygY+mGrMmmmiKUPGwVrJ7/f3FwWT2aW1TF96iIyiGtRKOS/cGMuUngH/ivj1oqoGvjuUxfL9l8UukL1ayZSeAczsH4Kfsw3n8itZ+Mc50TreQa3kviHhzOwXLG6h1Gv1fLTtAp/suIBBMG6hvDe5u2in3/SzHvr+uGQ7C2BMV2/euiVeUnhuOp0vSSB+eEQk84eZmsx1ltzyOm7+ZB/5lfUkBDqzck6vDgtdC//bWIoPC/+TLNt7iRd+OyN+Pad/CCqlnE92GB1R4wOc6eLtwHeHsyW3Gxrtyax+IXyy44JZ86wwDzueu4qDNRjP+H48ks26E1dMDsrx/k4khxg1Km72KsprtWIH43JJLSXVDRRXa0y6JC1xUCtxs1cR7mnfGOduT3KIG37ONlTUadl3oZjfTuSx5Wyh2I3xcFBz98BQpvUJRqXs3Nnn2SuVjPtor+Sx3NorkF4hrjzw3XHA6DdRo9FRVd/cWWoSlII0AO7J0dHitsPQaE++mtETQNxmSQxy4ad7+khEj5M/28/RrHLCPOxYfW8/0Wissl7LA6uOiUXn0GhPXh4fh59zx0LU/zQNOj3bzhbyU0oOO84XiQWkj5M1M/sFMyU5EEdrKwoq63ln03l+TMnGIBg7aLf3DmL+sAhcW5hw7btQzDO/nBK7UTcl+PHiuFiJZf++i8U88N1xk5XjR0ZEMm9ouKRQa11gfnZHohggdy2U1miY2KjPCfe058e7+1hMxCz8vcXHrl27ePPNN0lJSeHKlSusWbOG8ePHi98XBIEXX3yRJUuWUFZWRq9evfj444+Jje2cp7+l+LDQHseyyrjpk33i17YqBa/f3I2nV5+kqsEowpuUFMDu9CKTef8LN8TgZGvFq+vOmRUlDu/iyROjoonwatsbpDWCYNxy2Xq2kC1nC8yupQa42tDVz4lQd3tCPewIcbcjyM0OhUxGVYMWQTDmfxgEAVuVAmdbFSqlHEEQKK/Vkl1Wy7krVZzLr+JoVhkncsol7fVIL3tm9A1hQg8/8ay5M9RqdNz08T5RWAvGMdH2xwYzb+UxDmUaxye9Qlw5eKkUB2ulWIDMHRLGYyOjAemB7YtpScxZcQSQGlUVVNYz4I3taHQGls9KlhR6BZX1jP94L1cq6ukZ7MKymcmieFNvEPhqzyXe3JiGRm9ArZRz18BQ7hoYisOfyM75KzAYBI7nlPPLsVzWpuZJtqy6Bzgzo28wY7v5YKWQk11ay5JdGfxwJFvUIY3p6s3jI6MlpmOlNRpeWXdGXJH1dFDz4o2xjO7qI15HbxD4cFs6H2xNl7wP7FQK3p3cnetaFRVN685NrH9ggGi/fy3UanRM/fwgqdnl+DhZ8/O9ffH9BxaEFv7z/K3Fx/r169m7dy89evTg5ptvNik+Xn/9dV599VWWLVtGZGQkr7zyCrt27SItLQ0Hh44/1C3Fh4WOqKjTEv/iJsll397Zi3c3nxe3X4Z38cLDQc2qQ1mS6yUEOvPMmC6sTc3j6wOXTdYqZTK4vpsv84eGX1UR0kRBZT170os5mlVGyuUy0gqq2lzdlMmMGyrONlbYqZViAWIQBCrrdJTUNJiMipoI9bBjSJQnE3r4EePjeNXjCINB4P7vjrGucVzSxGMjo+gd6sbNnzYXeLck+vNjSo5YhAD8fn9/UbT73aEsnmwUpu5/aih9Fm4Tb7vpoYFENr6OTQF33fyd+HVuP8ljPnulkkmf7aeqXkdyiCtfTk+SFBdp+VU8++spUU/ioFYytVcg0/oE4e/SrGn4u6lp0LE7vZitZwvYnlYoWff2clQzoYc/N/fwF7d60vKr+HTHBX47cUXshiQFufDUmC4kBjXHyguCwE8pObz2x1nKarXIZEYTt0dHRkm6HYVV9Tz43XGTDl6Qmy2fT0sSX2sw/o4TXt4scXlNWTAct05uEJlDqzcwpzFp2NnWip/u6UO459X/nVj43+Q/NnaRyWSS4kMQBHx9fXnwwQd54oknAGhoaMDLy4vXX3+du++++y998Bb+/yIIAhM+3cexFumcL4+Po7JOK0aPeztac2uvQH5MyTbx3Jg/LIKBEe68+NsZE0EqGAuDG7r5Mn9Y+J/6cK2q13I8u5y0/CqjcViRUfTYMmOjI9ztVUR6ORDl7UCsrxN9w9z+1JlmSxdKuQzUSgV1Wj1xfo6sua8f8749ysbTxjPlpCAX1FZy9l4oIdLLXjRiaxmvvvVsAbOXHxEvT3plCyWNeTNNPh5gFH8OfGM7tRo9i29PZFSc9Az9eHY5d3xxkKoGHdHeDnw1o6fkeQqCwMbTBby1KU2S35Ic4sq47r4MjvL8y0cyFbVajmaXcexyGSlZZRy+VCYZUdmrlQyN9mRioj/9wt1RyGUIgkDK5TI+3XFRYog3IMKd+waH0zvUVVJ4XSyq5pk1J0XRbrS3AwsndCUhsLk4Adh7wThmad21GxLlwbuTu0vcdFuv0gKkvTJKFPteCwaDwMM/HOeX43lYW8n59s7e9Gj1GC38/+a/VnxkZGQQFhbG0aNHSUhIEK83btw4nJ2dWb58ucl9NDQ00NDQ/MdUWVlJQECApfiw0Cm+OXCZBb+cEr/2d7Hhw6kJPPJDKhmN8/LbegWi1RvE0K0mQj3seHlcHMXVDby1Kc2sKVhTETJvaLjkrPLPotUbKK/VUlGnoaxWS02DThSdymRGMay7vRo3e9WfOmC0RhAE3tqUJiYH+zhZc6WiHhsrBb/O64dBECTbEE+Pieb1DWnoDQLu9irxTL9JbArGg+ewt3cCcPrFkdzzTQq7040CyNFx3nx6e6J43Tc3nuPj7Rfxd7Fh80ODTDZITuSUM3v5EYqqGnCzU/HWpHiGtDJGMxgEtqcV8uWeS2Y7AMnBrkR5G4u1UA973OxU7Y6jtHoDFXVacsvquFRc0+guW8PZK5VmQ+oCXW0Z1sWT4V286BnsKuprKmq1/HI8l1WHskTzMJnM+BrcOyjcZGOntEbDh9vS+ebAZbR6AWsrOQ8Nj2RW/xCJALpeq+fdLedZsitD0kVTKeQ8NSZadD1toqCynl6vbZW8JjseHfynxLqCIPDKurN8abFNt9AOV1N8/KXS5Px8YyCSl5eX5HIvLy8uX75s7iYsXLiQF1988a98GBb+H3F77yD6hbsz5K0dAOSU1XHTJ/v4/f7+rDyYxapDWaw8mEW0twMLxnZh1aEsMcE2o6iG2744yPAunnw+LYmDGaV8uC1d0koXBFibmsfa1Dz6hrkxvW8ww7t4ibbm14qVQo6Hg9psuNvfhVZv4Pm1p/n2oHEUFeXlIOo9Fk7oSoSnPdO+OiRe38/ZBrVSgd4gEOfnyKncSrP3G9Bi7HGpuIakIFex+Nh1voh6rV48+N83OJxfjuWRU1bHmxvTeO6GGMl9dfN35pe5/Ziz/Ahnr1Qyc+lhcfzQFIIml8sY1sWLYV28yCuvY21qHhtP53Mip4LLJbUSe/gmHNRKnO2ssJLLQQYyoEFnoKJWK/HFMEdwY7pwjyAXeoe6EubR7N0iCAKHLpXy3aEs1p28Iuo51Eo547v7cfegUEI97CX3V6fR89XeSyzecVH82UOjPXnxxljJWiwY15Ef+ymVjCJpdlGYhx0fTu1BjK/0A37fxWJu/fyg+PWfXaVt4oOtF8RAvzcndrMUHhb+NH9p52Pfvn3069ePvLw8fHyaBVJ33nkn2dnZbNiwweQ+LJ0PC38FeoPAyPd2Sc5UHxweQayvE0/8fILSGg0KuYxpfYJwsLbig63pJvcxvU8QcwaEsuZYLkt2ZUh8Q1ri52zDHX2CmJwU8K9R+BdW1jPvW6OIVCaDnkGuHLlcikFoXon9LTWP+1cdE2/z+s1d+fV4HvsulvDEqGhe32DcYrkx3pcPpiZI7r8p3+W9yd3xcbJm8pID4ve+nJ7EsC7NJyQt7fOXzexp1vK9Xqtn4R9nWb7feNLibq/iweGR3JLk32YnqMmELTWngvP5VZwvqCKrtBZdJ3zXZTKjQVqou50oCg7zsKd7gLOJRkIQBI5nl7PhdD4bTuVLip1obwem9AzgpgR/cWunCb1B4OejObyz6bw4dov1deSp0V3oH+EuuW6dRs/bm9L4cu8lE83Q1ORAnrs+xqRr1HLrCIwC6xn9Qjp87u0hCALvbj7PB9suALBgbBfmDAj9U/dp4X+X/1rnw9vbOMPNz8+XFB+FhYUm3ZAm1Go1avV/7uzPwv8mCrmMLQ8PkuRLvLfFWGBseXgQb29KY/2pfJbuzcTP2YZXxsex72Ixf5zMF+9j+f7L/Hw0l/uHhrPl4UEs3XuJlQezTIqQ3PI6Fq0/x7ubzzM6zptx3f3oH+H+jzRXEgSBX47n8uJvZyiv1eKgVtI90Jk9F4oRBJiaHMAj10VSWFXPC2tPi7cLdLUlPsCZJ34+iUyG5Ax73tDwNn/ehcJqRnf1Rq2Ui12A9afyJcXHkChPpvcJYvn+yzzw3XF+ndvPJGbe2krBi+PiGBnrzbO/nuJiUQ0LfjnFJ9svMKt/CDf38Dcp/BysrcSOSMvnX1mvo6S6gbJarVHQaxAQMHafXGytcLFV4Whj1W43q16r5+jlMjadKWDj6XyutFivtrFScEO8D1OSA0kIcDYZbxgMAlvPFfLWxjSx0+TnbMPjo6K4oZuviRvooUulPP5TKpmtOjiO1kpev7mbZPMFjGu+XZ7dINl8+fGePvRs4QdyLQiCwJsb08RV9qdGR1sKDwt/GX+L4PShhx7i8ccfB0Cj0eDp6WkRnFr4j1FYVU/yq1sll71xczfcHVQ8+8tpMSJ+VKw3Q7t4snjHRVEf0oS/iw0PDItgWBcvfjySzdK9me2KRF3tVIzt6sO47r70CHT5R9hLp2aX89ofZ8UNlXBPezwd1KJO4o7eQbx4YywCMP2rQxKjqk9u68G+i8V8cyCLETFe2FgpRBv7lnqPJpo6H9fFeLFkWhJ3fHlQHL3YqhQceHqYZGujXqtnypIDHM8uJ9Tdju/v7tPmCEqjM7Dy4GUW77wohvupFHJGxHgxIsaLQZEef3kHqlaj43h2OQcySjmQUcLxrHKJ0NROpWBItCej4rwZEmU+10WrN+YELd55URTqOtlYcf/QcO7oE2TSwanV6HhjQxrL92eadDuSQ1x5b3J3E6FxRlE1Qxv1Nk2kPnedSdflahEEgUXrz/FZY5aSpeNhoTP8rYLT6upqLlwwtuASEhJ45513GDJkCK6urgQGBvL666+zcOFCli5dSkREBK+99ho7duywrNpa+I/z1OqTklVbuQwOPj2cL/Zk8MXuS+gNAnYqBfOHRaDVG1i803TU4udswz2Dwxjf3ZdNpwskgXNt4eNkzaBIDwZFetA33F3UKvwnaEq5/WrvJXY0mnOplHJGdPHiXH4lF4tqkMngiVHR3D0wFJlMxku/neGrvc0BckOjPXlnUjx9Fm6jTqvn2zt7SXQE7RUffs427H1yKN8ezOLpNc25MOZGAIWN/h55FfVEezvwzZxe7drd12v1/Hw0h1WHsiT6E7kMor0diQ9wJt7fiRB3O/xdbfFyUIsW5ObQ6AwUVtVTUFnPlYp6zhdUk5Zfybl847im9Sejp4OaAREejI7zpn+Ee5si1jqNnh+OZLNkV4ZY6DqoldzRJ4i7B4aZFAaCYBTQvrD2DFml0m6HSiFn/rBw7h0cbtKZaS227hPqxrd39vrTLrCCIPDy72fF98SLN8YyvW/wn7pPC/8/+FuLjx07djBkyBCTy6dPn86yZctEk7HPPvtMYjIWFxf3lz94CxY64nxBFde1SMcF40puUpALT685Ka7qxvo6MndIOCdzK/i0sc3cEk8HNXcOCOXWXoGkXC7j+yPZbD5d0K5LKRjHQQkBzvQNdychwJlu/k5/ymfBHHqDwKncCv44dYV1J66QU2Y84MlkMCzaE5lMxrZzhegNgnGD5JZ4UTC4eOdF0ZEUjB2cDQ8M4LNdGXy55xJdfBz5ZW5fohYY9Vr3DQ7j8VHRJo+hqfgAY3FSXN1A8qtbxFFAmIcdmx8aZNIRulRcwy2L91Nc3UCwmy3LZyWLFuvtcSq3gvWnrrD1bKG4WdIahVyGvVqJnUqBrVqJDNDoDTRoDdTr9BJTMHN4O1rTK9SV3qFu9A51I7iDILn8inq+P5zN8v2ZlDauGrvbq5ndP4TbegdKOj9NXCis5uXfz4g26y1JDnbltQldRc+QJswlEL85sRu3JAW0+3w6gyAIvLD2tKi1eWV8HLf3DvrT92vh/wcWe3ULFlpgMAjc800Km1q4PILRcGnD6XxeX3+OykbnzoGRHszuH8K2swXiB3BLXGytmNYnmKnJgaiVcn45nsv3h7PbPACaw8/ZhvgAJ8I97Al0syPIzZYgV1vc7NUdbtHUafTkVdSRXlBFekE1qTnlHLxUKrE+t1MpGBzlid4gsDu9iBqNHjCufL40Lg4PBzWCIPDx9gsSy225DL6a0ZMgNzuue3cnWr3AilnJHMksFQWH514eZfaMf8Ab28RV5abOyK2fH5Cswn44NYEbWuS6NHGxqJppXx4it7wOR2sl703pztBo8xoxc1ypqON4VjmpORWczqsgu7SW3PK6Ng3aWqJSyPFsDJILdbcj2seR6MY13c6EDur0BnaeL2LVoWy2nSsQi61AV1vuGhjKxER/s69XRZ2WD7ams3xfpokg1kGt5Mkx0UztGWhSrJXVaEh4ebPksl2PDZGk214rBoPAs7+eYuXBLGQyWHhTV6YkB/7p+7Xw/wdL8WHBghkuFFYx/B1pF2RKzwAeGxnFh9susPKg0W9BJjNmaUxOCuDHlBx+Sskxe38jY724rVcQ/cPdOXOlkjXHctl8psCkdX41OFgrcbS2wtHGChlGx1NBgFqtjpJqDbWNhYTJ7dRK4gOccbKxorRGw8FLJeKBMNrbgWevj6FfuHGjokGn5/lfT5tk4CwY24XZ/UO4c8URtpwtZHCUB8tmJpt0Nczx2I+p/Nj4OjVd5/cTecz7tnl7JsjNls0PDTKbO1NQWc9dX6eQ2hgMODU5kKfGRJvtFnQGvUGguLqBqnodtRqdcZwmgNpKjlqpQK2U42qnwtVOdU1jiqySWn46msMPh7MlWqDkYFdu7xPEmDhvsyMfvUHghyPZvLUxTTRia8nIWC9evDEObydrk++13kZyUCs5+tyIv0TobDAIPL3mJN8dzkYmM2qk/opOioX/X1iKDwsW2uGZNSdZeVBqu/7tnb3wc7bhzY1pYkKrSilnRt9gxnT14eeUHL4/nG12zBLsZsutvQK5KcEfd3sVaQVVbD5dwKYzBWbdU/8sNlYKQj3ssFcrMQgCNioltQ06jmWXSxJxewa7cM+gMIY2jl7A2OZ/4LtjnM6TenY0jVNWH83h4R9SUcplrH9gACqlnEFv7gCM2w53Dwoz+5jWHMvhoe9TAch4bQxyuQyt3kC/RdsobBF89vz/tXfncVGWax/AfzMDMwwMDAwDDNsgIrgAKqIiuKeh5jEt82iWr9l2rGxxec/R7BzNo1lZx06ZWaeO1WnztNerVmSuuaMo4gLIKjDszLDOer9/jEwMM6wOs9D1/Xz4FM/zwFy39wfm4nnu+7rmDMOyDrZ/qnV6bN131bRdVCoS4Onp0Vg0JtwpdhLlVjTgh0tl2H9JYfbv5+fpjvmjwrBorNziEUmr1rU4L/1w1eLfHjA+1ts0NxYz44Itzql1ekzZdshsh01Hj796Q29g+MuXF/FF+g1wOcCrfxyBuxLCbPK9ye8LJR+EdKGqQY3Rm3+2OH5m/XSU1jVj6/4rpnLXIoEb7kuS4+5RYUi7rMD7xwutNqYDgJQof/xheAhmxskg8eKjXNWC0/k1OJ1fgzMFNV0+nnHncUyFvfhuXHi4c+HGNb7xerhz4eHOg6pFC4WyxepjhagAL6TGynBPYhii2hS3atbo8dahXOw6nGeRQD112yCsvD0GuRUNmPfmr2jU6LH69hg8OS0aY7b8bOqa2rakenuV9WqM2WL890xbOcnUF+eNAzl4Ne23RztCdx72PjXBovBWWyfzqrHuq0xTR9dQXyGWpkRg4Wj5Le/i6InW7bW/Xq/CT1nlZo0KuRwgJUqKP44Jx4zYoA5rjzDGcPx6NbanZeNsYa3FeTcuB/clybEqdbDVhcnti4YBwPcrJlhUS+0tvYFhzecX8PX5EvC4HPzjjyMwd2SoTb43+f2h5IOQbtp7sQxPfHLO7NiEQVJ88OBYHMmuxEs/XDUlDHweF/MTw7Bs/ABkFNfh38fyO13smBLlj5lxMkyKDjBVrqxr0iCjuA455Q24Vl6PnPJ6ZJc3oFlr/XFKZ9y4HEQHeWN4qBjDw8WYOCjA4tl/o1qHz84U461D1y0SJj6Pi+fnxuLesXJU1qtxz67jKKxuwriBEnz0UBKUzVok3kzQEiP88OVjKR3GwhhD5Lp9AICV02Pw9PRoAMbCX1O2HTJ7xDAiTIwvHkvp9G6GRmfAZ2eK8PqB3yrO8nlcTB4cgD8MD8b4QdJurcnoidpGDa6UqXC2sBbHr1fhXFEdNLrfEjV3HgcpUVLcES/D7cOMyWVnTtxMOlq7A7c3fWgQ1t0xxCxJbKU3MNz7r5OmRnoAEBfqg28eH9/pDp6e0OkNWPnfC/j+Qil4XA5eX5SA2cMt77wQ0l2UfBDSA3oDw8o9GaY6Fq3+NGkg/jJzCA5lV2Dnweumv1y5HGBWfDCWT4qCgTF8nl6M7zJKTYtWrYnw98SEQVJMjJYiKdLfrC4FYwzKZi0q6tUoV7Wgsl6NJo0eGp0Bap3B+GjFnQcvAQ+efDfIxB4I9RUiyMfD6gJVg4HhXFEtvskowTfnS61Wao3w98TrixIwItwXNY0a3PfuKVwpUyHMT4hvnxgPf5EA8Rt/NC1kzdyY2mUL+9a1IRH+njj8v7/tiPvwRAH+9m2W2bXLxg/AhjmxnX4/wHj34buMUvz7V8tELybIWIF0sMwHMUEihPgKEegtgEjgZvUODWMMTRo9ypQtKK1rRmldM4prm3BNUY/LpSqUKi3ruAR6C5AS5Y9JMQGYNjSoy23TjDGczKvBPw9km+6ctRcb4oPnZg9DcpS/1fNXFSqz/joAsHvZGIseN7dCrdNj5Z4M7MtUwI3LwY7FCVYf+RDSE5R8ENILymYtJr180KwFOWCsUbE0ZQDO3uxU+kubTqUjw32xeKwctw8LwrHcKnyefgNHcyotakS0Fy4RYnioL+JCxYgL9UGk1AvBYmGvesZo9QbkVzUivbAWZwtqcTi7ssPHQm5cDh6cEImV02Mg5PNQXNOEZe+fQW5FA6QiPr5YnoIBUi9k3lBizo5jAIzdWP/zUFKXcXS0MFWrN+COfx41e2wBGJvWPTrJ+hqS9hhjuFZej+8vlOKXq5W4Uma9zwxgfDwldOfBnceFO48LncGAJrUejRoduqq0Lpd4Ij5MjOSB/kiO8sdAqVe3FqS2aPX4/kIp3j9eYHVNB2Dcuvu/MwbjroRQq0XoGGNY/fkFfHWuxHTMx8MNp9dP77QxXk8pm7X403/O4mReDdx5HLy5eBRSY2VdfyEhXaDkg5BbYK02CABsmhuL/0kegKsKFXYduo69mWWmdRcigRvmJYTg3rFyBPl44JcrFfjpsgJHc6pMZca74s7jIMzPE2F+Qvh58iEWukMsdDfr4WEwGO+S1DZpUdOoRmF1U7f6l3A4wOz4YKxJHWwqZX40pxJPfXoetU1aBIs98J+HkjAoUAS9gSHq2X2mr83ZMqtbCz7//MUFU+fg9rtiskqVuOvN49DoDQiXCE3bcv88czAemxzV4x0nNY0anM6vxuWyemQr6pFTUY9ylbrDfjxtefF5CPUTItRXiBBfIaIDRRgWIsaQYO8e766pULXgo5OF+PhUkdXdK4CxdsrDEyOxLCXSoh9Lq/TCWsx/67jZMVvV7mirpK4ZD/z7NHIqGiASuGHnfaMwKSbApq9Bfr8o+SDEBqwt9gN+e8OsbtTgy3Rjxc22fThiQ3wwe3gw7ogLRqCPAEdzqvDLlQqcLqgxLaK0F4kXH3clhGJp8gDTehBVixav/HgNH96sYxIfKsbbSxJNpbun/+OwqUHf6/cm4E4rtTmsuVSixB/eMN4tObB6ssVahneP5mHz3itw53GQIPczrWe4d2w4Nt4Z2+GizZ5o0uhQVa+BWqeHVs+g1RvA43LgJXCDl4AHL74bPPm8W6oCqjcw/JpbhS/Sb2D/pbIO64kEegvw6CRjYTpPvvU2Wk0aHaa9ethsJwsAXNyY2uttxh3JKlVi2e4zqKhXI9BbgN3LxiA2xDYLVwkBKPkgxKYOXCnHQx+ctTi+IDEMm++KgzuXi5N51fjkdBF+zFKYvRkNCzYmIjPjZBgo9UJlvRpnCmpxOr8a54vrkF1ejxZt9+6MdFek1AvJUf6YESvD+Ch/0wLFFq0ee84U4/UDOaa/0u8fJ8dzs4eZbuvv+CXHVHgsXCLE0T/f1u3Xbbvo1FrnW4OB4clPz2NvZhm8+DxMignAD1kKMAYMDfbB9oUjMETmvD/zV8pU+OrcDXybUWq2fbi9ELEHHpsShQWjwzt9XLLzUC5e/uGa2bGX5sdj4RjbF/Y6kl2Jxz5KR6NGj5ggEXYvG4vQdn1iCLlVlHwQ0gcOXavAAzdbwbcVIvbAnj8lI1ziiZpGDX7MUmBfZhmOX682q7sR6ivEhEFSjI+WIiXKH1KRAHoDQ3FNE64qjDtfSpXNUCiNvUYq6tVo0uisJice7lwEensgyEcAmViImEARhgT7IC7UB8Fi8zeV1oJYn5wqNO0ciQrwwvN3xpm1cm/fK+T6C3f0eA1KVwXJWrR6PPj+GRy/Xg2hOw/zEkLxU5YC1Y0a8LgcLEsZgCemDrJ5o7jeYIzhcpkKv1ypwN7Msi63SccEifDg+EjcPSrMaiG1VtYe6yXIffHZo+Nscvenvc/PFmPdV5nQGRiSB/pj15JEu/YbIr8flHwQ0ofaPl5o7/k7Y7FkXAS4XA5qGjX4KUuBvZllOJlXbXF7PiZIhPhQY7+XuFAxhgX7WF0TYDAwqHUG6AwG8N244PO4nT420OgMuFymwtHsSvxyrcLUvwb4rVFe+8JdL/9w1dQ6HQDO/fX2LreSWvPi/qvYddj4fS5vmmH1cUOLVo/lH6WbGt/NHxWGuiYNDtxcyOvF52FJ8gDclyQ3bVG2lyaNDifzqnHgSgV+uVph8TikPTcuBzPjZFgyLgJjIyWdzkujWof5bx23SGJ+XjUJgwK7brrZU4wx/PNADl77OQcAMG9kCF66Z3ifJDiEAJR8EGIXFfUtePD9M2YdVlsFegvw7tLRGB7mC8D4pnY6vwa/5lbhWG611d0aXA4Q4itEhL8n5BJPyCVe8Bfx4St0h68nHyKBG7hcgAMOGBga1TqomnWobdLgRm0zCqubkFtRjytl9WaFxDgcY+2SBaPDMStOZpZ0aPUGpLz4i6mQGACcXDfNannv7mjS6DDsbz8CAJaMi8Df51lvKKnTG7B57xVTNdMhMm9MGxqIg1crcfnmvw2HA4yPkmJWvAzThwYhyKd3MXWmor4F5wprcaagFmcLanCpVGV2t6ojMh8PLE6SY9GYcAR2EZdWb8Cazy/g2wzzrdw92e3TU1q9Ac9+lWkqef/4lCisSR1sdZcNIbZCyQchdmQwMLzxSy62/5xt9fyIMDFevmcEBst+++u2qkGN80V1yCxR4lKJEhdvKDvcHtsbYqE7xkZKcNuQQEwdHGg1mdiXWYbHPzYvsHbhb6m3XEW0O71gWv1wSYF1X11E7c0Os1MHB2BYiA8u3lDiaE6V+ff198SYARIMCfZBdKAIkVIvBHgLOl1X0VpDRaEyPsoqqW02FXbLLq/vcIeKNSKBG2bEyjB3ZAhS2qyl6ey1X/0pGzsO5podHxjghX1PTbTp9tm2GtQ6PP7xORzJrgSXA2yaS51piX1Q8kGIg+RVNuDxj891uD5AKuJj87x4pA4LMvsrlDGGygbj1tnC6iYUVTeiuLYZtU0a1DVpoWzW3iz4ZWw0x2B8MxQL3eEjdEOorxByiScGSL0QHyqGXNJx+/ejOZVY8t5ps2OxIT74bsWEXtUZaa9t1di3lyRiRhc1JGobNXj5x2vYc6bIVIcjPlSMcQMl0BkYzhXV4eKNug5rp4gEbvDxcIO7m7GuB2MMzRo9mrR6NKn1VvvxdBffjYtpQwJx54gQTB0S2O2E4bPTRVj7VabF8WN/mYowv757lFSuasGy3WdwuUwFoTsPOxYnYNrQ7ncIJuRWUPJBiBM4nF2JJz4+12ntibGREjw2JQqTowP69Ja4skmLzXsvm27Dt/Xxw0mmjre20HbXC9D13Y9WeZUNePPgdXx/odSUMHA4wPAwXwyVeYPDAZo0ejRr9Lhe2YAbtc3drqEiFrpDpzeg8WZXYA4HHSYzcoknpgwOwJTBARg30L/DbbLtMcbw+dkb+POXFy3O/d+TExAX2rfbWtMLa/H4x+koV6khFfHx3tIxGBHu26evSUhblHwQ4kQYY/g1txp/++4S8iq7rvOROiwIs4cHIyVKCqmody3fqxvU2JtZhveO5aOwTQ2SttakxuCJqYNuqeZFR/5zshB/vblzZu2sIVjeQTdca2pu1k/Zm1mGjOI6i/Me7lyE+XlCKuLDk++GRrUOWr0BHA4HTRo91Fo9OBxAq2doUOtgYAz1LboO13KES4QYJffDKLkfJkRLu13VtJXeYFzY+fqBHItz7y8bgyk2LItuDWMMH50qwqbvs6DVM0QFeGH3A2Mt+vwQ0tco+SDEidU0avD2ket4+3Ber77ew50LkcANblwutHoDlM3aLiuctrVjcQJmxwf3SdLRVtu1H2efm96rRnAKZQuOX6/CmYIaZBQrcb2ywazZW08I3LgYGCDCoEARBgWIMCTYGwlyXwR6924hq1qnx7ovM/HV+RKLc68sGIF7Evu+LX2LVo/1X1/Cl+eMd7RmxcmwbcEIiATdu1tDiC1R8kGIC1E2afFNRgk+Ollo0f/EFkQCN6y7Ywj+ODq8W2XSbeWaoh4zXvutnkX25lmd1r/oDr2BoaimCWV1zahsUKOyXo1mjXFdh0ZngBuPAw83HjzcefASuCHIR4BAbw8E+gggFQlssqYlr7IBD75/xqyqbStbN4DrTHFNE5Z/lI6sUhW4HOAvM4fg0UkD+zypJKQjlHwQ4uL0Boa8ygaczK/B+cJaXCxRmkqed8Tbww3xoWIkRfrjtiGBGBrsbbP26721df8Vszs8eS/c4ZLbPXV6A3b/WoAt+65YPW+PNR1tHcmuxFOfnUddkxYSLz7euDfBput2COkNSj4IIU5j2quHcL3NWpeOio85o8wbSjz12XmrPXkGBYrw4YNjTT1x7MFgYNh5KBevpmWDMeM27p33J1KpdOIUKPkghDgNxhgSN/+MmjY1NfY/PRFDg53z5zunvB5rvriIC1YWuwLA+juGYtn4AXa/q6Rq0WL1fy8g7XI5AGNDvg1zYvusXgghPUXJByHEqTDGsPhfp3Air9p0bGK0FO8sGd1hm3l70RsYjuVWYeu+Kx3WZ4mUeuHfD4xBpNTLztEZXVWo8PhH55BX1Qg+j4tNc2OxaKztG9ARciso+SCEOKU9Z4rwly/Ni29NjgnAtnuGd1mm3FYYY7he2Yj/nCjABycKO7zOW+CG1xcnYEpMgMMWcRoMDO8fL8CLP1yFRmdAiNgDb92fSPU7iFOi5IMQ4rSqGtS47ZVDULVYFl9bMi4CD4wf0ONaGx1hjEGhasHx3Gr892wxTuXXdHq9SOCGVxYMR+owmcMXxparWrDm8wumMvNTBwfglQUj4N+LLcuE2AMlH4QQp5dTXo8/vHGs0yqlYX5CJA/0R4LcDzFBIvgI3eHJ54HH5cDAjHcG6lt0qKhvQXFtMy4W1yG9sBZ5VhaIdmTeyBA8PT3GYY9UrNmfWYZ1X2eirkkLD3cu1s8ehvuT5LSNljg1Sj4IIS5D1aLFmwdze110rafuSQzD/yRHIDZEbJO6H7ZU36LF899fxhc3y+DHhfrgtYUJGBQocnBkhHSNkg9CiEtS6/Q4W1CLj04WYv8lxS19r1BfIe6Il2FmnAzDgsUOX9jalfTCGjyzJwPFNc3gcIDHJkfhmekxt1yYjRB76cn7t2tstieE/C4I3HgYP0hqUTBLqzegvkWHhhYdGtQ6cDjG5nA8DgciDzd4e7jDi89zyccSWr0BbxzIwY6DuTAwY9K0feFIjI2UODo0QvoMJR+EEKfnzuNC4sWHxIvv6FBs6kJxHdZ+lYkrZSoAwN0Jodg4NxY+Hu4OjoyQvkXJByGE2FmDWodXfryGD04UgDFALHTH5nlxmDMixNGhEWIXlHwQQogd/ZSlwIbvslCmbAFg3G3z3B+G9arrLyGuipIPQgixA4WyBRu+u4Qfs4zl0eUST2y5Kw4TowMcHBkh9kfJByGE9CG9geGjk4XY9uM1NKh1cONy8MikgXjqtmin34FDSF+h5IMQQvrI6fwabN57GRdvKAEAI8N9sfXueKdtqkeIvVDyQQghNlZY3YgX91811SoRCdzw55mDcV9ShNMVNiPEESj5IIQQG1E2G6u1vv9rATR6A7gcYNFYOVZOj0GANy0oJaQVJR+EEHKLdHoDPjldhO1p2aht0gIAJkZLsX72UAyR0SMWQtqj5IMQQnrJYGDYd6kM29Oycb3S2MxuUKAI62cPxZSYAJesuEqIPVDyQQghPWQwMPyQpcA/f87BtfJ6AIDEi4+V06Nx71g53HjUj4WQzlDyQQgh3cQYw49Z5Xjt52xcVRiTDm+BGx6cEImHJkZSWXRCuomSD0II6YLewJB2uRyvH8jB5Zt9WEQCNzw4fgAemjAQYk9KOgjpCUo+CCGkA80aPb44dwPvHc1DQXUTAMCLz8Oy8ZF4eGIkfD37V6M7QuyFkg9CCGmnsl6ND08U4KOThabdK2KhO+4fJ8fDEwbCr5911yXE3ij5IIQQGNdzXLyhxMenCvFNRik0OgMAIFwixEPjI7FgdDi8BPQrkxBboJ8kQsjvWqNah28zSvHJ6UJcKlGZjo8M98WjkwZiRqyMqpISYmOUfBBCfncYY7hwQ4nPzxbj24xSNKh1AAA+j4s74mW4f1wEEiP8qE4HIX2Ekg9CyO9GUXUTvskowTfnS5BX1Wg6Hin1wuKxcsxPDIOE1nMQ0uco+SCE9Guldc344ZIC+zLLcLaw1nTcw52LGbEyLBwdjuQof7rLQYgdUfJBCOlXGGPIr2rET5fLsf+SAheK60znOBxgfJQUdyWEYkacDCJaQEqIQ9BPHiHE5bVo9TiVX4ODVytw8FoFCm/W5ACMCcfoCD/MjAvG7PhgyMQeDoyUEAJQ8kEIcUFNGh3SC2txKq8GJ/OqceFGHbR6ZjrvzuMgKdIfM+JkmBEbhEBvSjgIcSZ9lnzs3LkT27ZtQ1lZGWJjY/Haa69h4sSJffVyhJB+ijGGkrpmXCpRIqNYiVP51ci8oYTOwMyuCxZ7YMrgAEwZHIjxg6T0SIUQJ9YnP5179uzBM888g507d2L8+PF4++23MWvWLFy+fBlyubwvXpIQ0g+odXrkVzUip7wBVxUqXLyhxKUSpanKaFuhvkIkRUowbqA/kgZKIJd40qJRQlwEhzHGur6sZ5KSkjBq1Ci89dZbpmNDhw7FvHnzsHXr1k6/VqVSQSwWQ6lUwsfHx9ahEUIcyGBgqGpQ40ZdM0pqm1HS5r/5VY0orG6EwcpvJDcuBzFB3ogPFWNMpARJkRKESzztPwBCSId68v5t8zsfGo0G6enpWLt2rdnx1NRUHD9+3OJ6tVoNtVpt+lylUllcQwhxXf93sRQrPjnf7eu9PdwQHShCTJA34kLFiA8VY7DMGx7uvD6MkhBiTzZPPqqqqqDX6xEUFGR2PCgoCAqFwuL6rVu34vnnn7d1GIQQJ/HPn3MsjoWIPRDqJ0Sor/Dmfz0R4e+J6EARArwF9PiEkH6uz1Zktf/lwRiz+gtl3bp1WLVqlelzlUqF8PDwvgqLEGJnbyxOwAv7rkJvMEDiJcCfJg1EXKjY0WERQhzI5smHVCoFj8ezuMtRUVFhcTcEAAQCAQQCga3DIIQ4iSEyH3z44FhHh0EIcSJcW39DPp+PxMREpKWlmR1PS0tDSkqKrV+OEEIIIS6mTx67rFq1CkuWLMHo0aORnJyMd955B0VFRVi+fHlfvBwhhBBCXEifJB8LFy5EdXU1Nm3ahLKyMsTFxWHfvn2IiIjoi5cjhBBCiAvpkzoft4LqfBBCCCGupyfv3zZf80EIIYQQ0hlKPgghhBBiV5R8EEIIIcSuKPkghBBCiF1R8kEIIYQQu6LkgxBCCCF2RckHIYQQQuyKkg9CCCGE2BUlH4QQQgixqz4pr34rWguuqlQqB0dCCCGEkO5qfd/uTuF0p0s+6uvrAQDh4eEOjoQQQgghPVVfXw+xWNzpNU7X28VgMKC0tBTe3t7gcDg9+lqVSoXw8HAUFxf3u74w/XlsQP8eH43NdfXn8dHYXJezjo8xhvr6eoSEhIDL7XxVh9Pd+eByuQgLC7ul7+Hj4+NUE2JL/XlsQP8eH43NdfXn8dHYXJczjq+rOx6taMEpIYQQQuyKkg9CCCGE2FW/Sj4EAgE2bNgAgUDg6FBsrj+PDejf46Oxua7+PD4am+vqD+NzugWnhBBCCOnf+tWdD0IIIYQ4P0o+CCGEEGJXlHwQQgghxK4o+SCEEEKIXfWL5KOgoAAPPfQQIiMjIRQKERUVhQ0bNkCj0ZhdV1RUhDlz5sDLywtSqRRPPfWUxTXOaMuWLUhJSYGnpyd8fX2tXsPhcCw+du3aZd9Ae6E7Y3PVebNmwIABFvO0du1aR4fVazt37kRkZCQ8PDyQmJiIo0ePOjqkW7Zx40aLOZLJZI4Oq9eOHDmCOXPmICQkBBwOB998843ZecYYNm7ciJCQEAiFQkyZMgVZWVmOCbaHuhrbAw88YDGX48aNc0ywPbR161aMGTMG3t7eCAwMxLx583Dt2jWza1x57vpF8nH16lUYDAa8/fbbyMrKwvbt27Fr1y48++yzpmv0ej1mz56NxsZGHDt2DJ999hm+/PJLrF692oGRd49Go8GCBQvw2GOPdXrd7t27UVZWZvpYunSpnSLsva7G5srz1pFNmzaZzdNzzz3n6JB6Zc+ePXjmmWewfv16nD9/HhMnTsSsWbNQVFTk6NBuWWxsrNkcZWZmOjqkXmtsbMSIESOwY8cOq+dffvll/OMf/8COHTtw5swZyGQy3H777aY+W86sq7EBwMyZM83mct++fXaMsPcOHz6MJ554AidPnkRaWhp0Oh1SU1PR2NhousaV5w6sn3r55ZdZZGSk6fN9+/YxLpfLSkpKTMc+/fRTJhAImFKpdESIPbZ7924mFoutngPAvv76a7vGY0sdja0/zFtbERERbPv27Y4OwybGjh3Lli9fbnZsyJAhbO3atQ6KyDY2bNjARowY4egw+kT73xMGg4HJZDL24osvmo61tLQwsVjMdu3a5YAIe8/a78ClS5eyuXPnOiQeW6uoqGAA2OHDhxljrj93/eLOhzVKpRISicT0+YkTJxAXF4eQkBDTsRkzZkCtViM9Pd0RIdrcihUrIJVKMWbMGOzatQsGg8HRId2y/jhvL730Evz9/TFy5Ehs2bLFJR8haTQapKenIzU11ex4amoqjh8/7qCobCcnJwchISGIjIzEokWLkJeX5+iQ+kR+fj4UCoXZPAoEAkyePLlfzCMAHDp0CIGBgYiJicEjjzyCiooKR4fUK0qlEgBM72uuPndO11jOFq5fv4433ngDr776qumYQqFAUFCQ2XV+fn7g8/lQKBT2DtHm/v73v2PatGkQCoU4cOAAVq9ejaqqKpe9pd+qv83b008/jVGjRsHPzw+nT5/GunXrkJ+fj3fffdfRofVIVVUV9Hq9xdwEBQW55Ly0lZSUhA8//BAxMTEoLy/H5s2bkZKSgqysLPj7+zs6PJtqnStr81hYWOiIkGxq1qxZWLBgASIiIpCfn4+//vWvuO2225Cenu5S1UEZY1i1ahUmTJiAuLg4AK4/d05958Pawq/2H2fPnjX7mtLSUsycORMLFizAww8/bHaOw+FYvAZjzOrxvtabsXXmueeeQ3JyMkaOHInVq1dj06ZN2LZtWx+OoGO2HpszzZs1PRnvypUrMXnyZAwfPhwPP/wwdu3ahffeew/V1dUOHkXvtJ8DZ5qX3po1axbmz5+P+Ph4TJ8+HXv37gUAfPDBBw6OrO/0x3kEgIULF2L27NmIi4vDnDlzsH//fmRnZ5vm1FWsWLECFy9exKeffmpxzlXnzqnvfKxYsQKLFi3q9JoBAwaY/r+0tBRTp05FcnIy3nnnHbPrZDIZTp06ZXastrYWWq3WInO0h56OrafGjRsHlUqF8vJyu4/PlmNztnmz5lbG27ryPjc316X+qpZKpeDxeBZ3OSoqKpxmXmzFy8sL8fHxyMnJcXQoNte6i0ehUCA4ONh0vD/OIwAEBwcjIiLCpebyySefxHfffYcjR44gLCzMdNzV586pkw+pVAqpVNqta0tKSjB16lQkJiZi9+7d4HLNb+okJydjy5YtKCsrM03UTz/9BIFAgMTERJvH3pWejK03zp8/Dw8Pjw63r/YlW47N2ebNmlsZ7/nz5wHA7JeHK+Dz+UhMTERaWhruuusu0/G0tDTMnTvXgZHZnlqtxpUrVzBx4kRHh2JzkZGRkMlkSEtLQ0JCAgDjep7Dhw/jpZdecnB0tlddXY3i4mKX+HljjOHJJ5/E119/jUOHDiEyMtLsvKvPnVMnH91VWlqKKVOmQC6X45VXXkFlZaXpXGt2mJqaimHDhmHJkiXYtm0bampqsGbNGjzyyCPw8fFxVOjdUlRUhJqaGhQVFUGv1yMjIwMAMGjQIIhEInz//fdQKBRITk6GUCjEwYMHsX79ejz66KNO/1yzq7G58ry1d+LECZw8eRJTp06FWCzGmTNnsHLlStx5552Qy+WODq/HVq1ahSVLlmD06NGmu41FRUVYvny5o0O7JWvWrMGcOXMgl8tRUVGBzZs3Q6VSucTWdWsaGhqQm5tr+jw/Px8ZGRmQSCSQy+V45pln8MILLyA6OhrR0dF44YUX4OnpicWLFzsw6u7pbGwSiQQbN27E/PnzERwcjIKCAjz77LOQSqVmCbOzeuKJJ/DJJ5/g22+/hbe3t+kuo1gshlAoBIfDcem56xdbbXfv3s0AWP1oq7CwkM2ePZsJhUImkUjYihUrWEtLi4Oi7r6lS5daHdvBgwcZY4zt37+fjRw5kolEIubp6cni4uLYa6+9xrRarWMD74auxsaY685be+np6SwpKYmJxWLm4eHBBg8ezDZs2MAaGxsdHVqvvfnmmywiIoLx+Xw2atQo0zZAV7Zw4UIWHBzM3N3dWUhICLv77rtZVlaWo8PqtYMHD1r9GVu6dCljzLhlc8OGDUwmkzGBQMAmTZrEMjMzHRt0N3U2tqamJpaamsoCAgKYu7s7k8vlbOnSpayoqMjRYXdLR+9pu3fvNl3jynPHYYyxvk9xCCGEEEKMnHq3CyGEEEL6H0o+CCGEEGJXlHwQQgghxK4o+SCEEEKIXVHyQQghhBC7ouSDEEIIIXZFyQchhBBC7IqSD0IIIYTYFSUfhBBCCLErSj4IIYQQYleUfBBCCCHErij5IIQQQohd/T9x5MRAzuKEMAAAAABJRU5ErkJggg==\n"
      },
      "metadata": {}
     },
@@ -292,8 +292,8 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.110432pt\" version=\"1.1\" viewBox=\"0 0 293.287542 285.110432\" width=\"293.287542pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T23:54:38.144825</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.110432 \nL 293.287542 285.110432 \nL 293.287542 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 33.96873 209.877507 \nL 121.496073 135.873605 \nL 120.54163 29.472634 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 64.870817 219.970129 \nL 150.73832 144.373172 \nL 151.035454 37.201929 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.470933 230.290727 \nL 180.585892 153.048683 \nL 182.188042 45.098202 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 128.792999 240.847113 \nL 211.057782 161.905658 \nL 214.020975 53.166923 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 161.862042 251.647463 \nL 242.173784 170.949852 \nL 246.556786 61.413803 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 34.73086 209.233131 \nL 32.441203 211.169024 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(15.884994 233.170232)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 65.619172 219.311284 \nL 63.370862 221.290675 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(46.818712 243.476691)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 97.204693 229.616921 \nL 95.000195 231.641292 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(85.824922 254.016841)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 129.511298 240.157831 \nL 127.353214 242.228734 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(115.004315 264.798721)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 162.563967 250.942165 \nL 160.455043 253.061222 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(148.115732 275.830744)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 36.604034 84.245965 \nL 41.313221 195.945526 \nL 189.491362 243.468283 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 51.984457 73.022033 \nL 55.962631 183.6661 \nL 202.759242 229.852174 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 66.927455 62.117314 \nL 70.213202 171.720989 \nL 215.647155 216.626004 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.451427 51.518381 \nL 84.081004 160.096722 \nL 228.171194 203.773259 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 95.573755 41.212549 \nL 97.581253 148.780545 \nL 240.346555 191.278345 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.310872 31.187827 \nL 110.728372 137.76037 \nL 252.187598 179.126522 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 188.243157 243.067966 \nL 191.990976 244.269943 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(191.722837 264.380245)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 201.523577 229.463402 \nL 205.233696 230.630702 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(204.812664 250.562646)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 214.42383 216.248284 \nL 218.096855 217.382388 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(224.898502 237.140984)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 226.960009 203.406126 \nL 230.596541 204.508429 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(234.072807 224.098482)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 239.147312 190.921359 \nL 242.747946 191.993181 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(246.08418 211.419297)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 251.000103 178.779269 \nL 254.565425 179.821857 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(257.765557 199.088456)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.148986 154.002356 \nL 114.938096 113.680286 \nL 26.256611 186.169969 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.028608 134.79366 \nL 114.724366 95.093838 \nL 25.308695 166.485894 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.921996 115.284362 \nL 114.507454 76.230564 \nL 24.345374 146.481901 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.829474 95.467351 \nL 114.287286 57.084236 \nL 23.366268 126.150127 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.75138 75.335289 \nL 114.06379 37.648433 \nL 22.370986 105.482448 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.954967 153.663807 \nL 259.539889 154.680266 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.188113 159.037104)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 256.824968 134.460213 \nL 260.438798 135.461359 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.207487 139.867098)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 257.708579 114.95622 \nL 261.351785 115.941446 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.242765 120.398017)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 258.606121 95.144722 \nL 262.279184 96.113401 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.294321 100.622807)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 259.517926 75.018391 \nL 263.221339 75.969869 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 50 -->\n     <g transform=\"translate(273.362542 80.534192)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_21\">\n    <path clip-path=\"url(#p66a1344950)\" d=\"M 140.705822 191.353523 \nL 140.91037 190.54154 \nL 141.397111 189.936756 \nL 142.142624 189.426072 \nL 143.771332 188.669246 \nL 158.12933 182.821543 \nL 163.102205 180.464884 \nL 169.191667 177.303939 \nL 176.570227 173.05386 \nL 180.786733 170.410304 \nL 185.367096 167.353441 \nL 190.308294 163.828945 \nL 195.592139 159.782649 \nL 201.179451 155.165008 \nL 207.00294 149.937891 \nL 212.958899 144.084318 \nL 218.898215 137.621648 \nL 224.617698 130.618292 \nL 229.853579 123.213116 \nL 234.28015 115.635018 \nL 237.517724 108.217771 \nL 239.15491 101.401929 \nL 238.789743 95.71316 \nL 236.09103 91.706303 \nL 230.873815 89.871198 \nL 223.171835 90.512129 \nL 213.279706 93.634813 \nL 201.737191 98.891181 \nL 189.245538 105.623043 \nL 152.824376 126.679756 \nL 142.522079 131.978757 \nL 133.421293 136.000992 \nL 125.490305 138.795393 \nL 118.63701 140.510034 \nL 112.74801 141.329264 \nL 107.712073 141.434167 \nL 103.431463 140.983607 \nL 99.825596 140.109103 \nL 96.830493 138.917075 \nL 94.396255 137.494105 \nL 92.483811 135.91256 \nL 91.061534 134.235384 \nL 90.102085 132.519498 \nL 89.579644 130.817867 \nL 89.467627 129.18028 \nL 89.737009 127.653154 \nL 90.355267 126.278692 \nL 91.28597 125.09359 \nL 92.488986 124.127774 \nL 93.921215 123.403267 \nL 95.537714 122.933495 \nL 97.293067 122.72314 \nL 99.142815 122.768506 \nL 101.044799 123.058467 \nL 102.960301 123.575726 \nL 104.854905 124.298371 \nL 106.69901 125.201467 \nL 108.46807 126.258585 \nL 110.142527 127.443144 \nL 111.707543 128.729501 \nL 113.152562 130.093737 \nL 114.470787 131.514209 \nL 115.6586 132.971817 \nL 117.641004 135.935193 \nL 119.113297 138.882074 \nL 120.106968 141.74531 \nL 120.659974 144.484135 \nL 120.808866 147.076088 \nL 120.583921 149.510166 \nL 120.006517 151.781459 \nL 119.088085 153.88694 \nL 117.830146 155.822144 \nL 116.225116 157.578224 \nL 114.257809 159.139143 \nL 111.907712 160.478588 \nL 109.152373 161.556507 \nL 107.61638 161.980147 \nL 105.972418 162.315116 \nL 104.21976 162.550722 \nL 102.358973 162.674647 \nL 100.392342 162.672868 \nL 98.324369 162.529609 \nL 96.162346 162.227386 \nL 93.916993 161.747151 \nL 91.603153 161.068589 \nL 89.24052 160.170618 \nL 86.854358 159.032137 \nL 84.476142 157.633093 \nL 82.144041 155.955884 \nL 79.903127 153.987169 \nL 77.805172 151.72002 \nL 75.907871 149.156379 \nL 74.273372 146.30965 \nL 72.965968 143.207179 \nL 72.048912 139.892236 \nL 71.580481 136.425072 \nL 71.609475 132.88258 \nL 72.170601 129.356148 \nL 73.280297 125.947482 \nL 74.933651 122.762538 \nL 77.10303 119.903996 \nL 79.738796 117.463238 \nL 82.772207 115.512886 \nL 86.120213 114.101094 \nL 89.691484 113.248472 \nL 93.392831 112.948076 \nL 97.135162 113.168283 \nL 100.838288 113.857887 \nL 104.434188 114.952413 \nL 107.868666 116.380662 \nL 111.10157 118.070546 \nL 114.105925 119.953722 \nL 116.866355 121.968746 \nL 119.377167 124.06285 \nL 121.64035 126.192515 \nL 123.663699 128.3232 \nL 125.459155 130.428512 \nL 127.041408 132.48911 \nL 129.632254 136.426894 \nL 131.571563 140.078916 \nL 132.988792 143.43329 \nL 133.997814 146.502744 \nL 134.693245 149.311472 \nL 135.150313 151.887561 \nL 135.510731 155.376054 \nL 135.594157 158.487932 \nL 135.476745 161.292854 \nL 135.193552 163.846503 \nL 134.749693 166.19346 \nL 134.126733 168.370382 \nL 133.28506 170.408581 \nL 132.162878 172.335639 \nL 131.216764 173.57066 \nL 130.073785 174.773038 \nL 128.692544 175.947127 \nL 127.022657 177.094613 \nL 125.003217 178.212759 \nL 122.561241 179.291574 \nL 119.610417 180.309353 \nL 116.050727 181.2258 \nL 111.77009 181.971603 \nL 109.322359 182.247266 \nL 106.650054 182.433087 \nL 103.739539 182.504373 \nL 100.579107 182.430576 \nL 97.160261 182.174261 \nL 93.479395 181.690058 \nL 89.540006 180.92369 \nL 85.355496 179.81125 \nL 80.952644 178.279001 \nL 76.375738 176.244072 \nL 71.691248 173.616597 \nL 66.992717 170.303976 \nL 62.405272 166.218028 \nL 58.088705 161.285759 \nL 54.237656 155.464184 \nL 51.077011 148.758771 \nL 48.850504 141.243828 \nL 47.801134 133.081125 \nL 48.143431 124.531094 \nL 50.030402 115.949717 \nL 53.52109 107.765125 \nL 58.557322 100.432215 \nL 64.95812 94.370789 \nL 72.436648 89.900467 \nL 80.637638 87.189986 \nL 89.186249 86.235822 \nL 97.735554 86.875896 \nL 106.001411 88.832149 \nL 113.779224 91.767414 \nL 120.943634 95.340176 \nL 127.436628 99.245558 \nL 133.250631 103.23804 \nL 138.411664 107.137749 \nL 142.965475 110.825383 \nL 150.475862 117.323027 \nL 166.805843 132.018556 \nL 168.993314 133.705742 \nL 170.813937 134.899045 \nL 172.378098 135.696646 \nL 173.761727 136.174133 \nL 175.013177 136.390855 \nL 176.158871 136.395215 \nL 177.207991 136.228842 \nL 178.588967 135.741729 \nL 179.690449 135.078538 \nL 180.438813 134.361456 \nL 180.763446 133.70987 \nL 180.7214 133.365477 \nL 180.469144 133.123708 \nL 180.015893 133.003012 \nL 179.006935 133.068554 \nL 177.705264 133.424257 \nL 176.256321 134.028633 \nL 174.364335 135.102623 \nL 173.157386 136.006682 \nL 172.252834 136.909686 \nL 171.721179 137.74292 \nL 171.593408 138.22963 \nL 171.652006 138.642551 \nL 171.895516 138.967166 \nL 172.31788 139.190352 \nL 172.90867 139.300559 \nL 174.076985 139.233804 \nL 175.519812 138.871502 \nL 177.140377 138.213141 \nL 178.812494 137.286156 \nL 180.381568 136.153567 \nL 181.673062 134.91776 \nL 182.292428 134.10328 \nL 182.663634 133.349701 \nL 182.750783 132.703407 \nL 182.532976 132.206563 \nL 182.007996 131.892547 \nL 181.194166 131.782169 \nL 180.129804 131.881449 \nL 178.87018 132.181529 \nL 176.763 132.957958 \nL 174.611597 134.02708 \nL 172.642043 135.264913 \nL 171.032849 136.555294 \nL 169.903644 137.800549 \nL 169.451498 138.565744 \nL 169.2506 139.254941 \nL 169.302424 139.849438 \nL 169.603201 140.331513 \nL 170.144912 140.68412 \nL 170.915712 140.89092 \nL 171.899787 140.936687 \nL 173.076683 140.808081 \nL 174.420176 140.494833 \nL 175.896853 139.991331 \nL 178.266692 138.883957 \nL 179.869797 137.929448 \nL 181.413451 136.832354 \nL 182.820004 135.634346 \nL 184.005592 134.391482 \nL 184.885724 133.172534 \nL 185.383186 132.054651 \nL 185.437561 131.116225 \nL 185.28671 130.736887 \nL 185.014888 130.42763 \nL 184.623249 130.194405 \nL 184.115348 130.041523 \nL 182.776786 129.985049 \nL 181.072605 130.25621 \nL 179.103917 130.825651 \nL 176.987612 131.643315 \nL 174.842969 132.647935 \nL 171.808321 134.369003 \nL 170.033026 135.578661 \nL 168.528067 136.786492 \nL 167.331509 137.958985 \nL 166.463954 139.069955 \nL 165.932839 140.097881 \nL 165.736605 141.023511 \nL 165.86818 141.828021 \nL 166.31747 142.491892 \nL 167.072801 142.99438 \nL 168.121316 143.313487 \nL 169.4484 143.426402 \nL 171.036193 143.310408 \nL 172.861284 142.944377 \nL 174.891657 142.310943 \nL 177.083092 141.399605 \nL 179.37533 140.210798 \nL 181.688648 138.760846 \nL 183.921737 137.087361 \nL 185.952228 135.254073 \nL 187.641411 133.353431 \nL 188.844494 131.504745 \nL 189.220734 130.642606 \nL 189.42688 129.84579 \nL 189.45114 129.131777 \nL 189.28507 128.516854 \nL 188.924163 128.01535 \nL 188.368343 127.638918 \nL 187.622237 127.395915 \nL 186.695254 127.290945 \nL 185.601373 127.324635 \nL 182.988893 127.790918 \nL 179.9663 128.726882 \nL 176.741485 130.025598 \nL 173.518379 131.56604 \nL 170.472318 133.235944 \nL 167.735955 134.946016 \nL 165.396137 136.633996 \nL 163.498972 138.261051 \nL 162.059198 139.80454 \nL 161.070527 141.250486 \nL 160.514907 142.587658 \nL 160.369725 143.803705 \nL 160.6128 144.88309 \nL 161.225358 145.806217 \nL 162.193356 146.549225 \nL 163.50744 147.08409 \nL 165.161755 147.378904 \nL 167.151674 147.398377 \nL 169.470409 147.104757 \nL 172.104344 146.459592 \nL 175.026952 145.426827 \nL 178.191239 143.977938 \nL 181.520959 142.099659 \nL 184.90152 139.804774 \nL 188.17249 137.14544 \nL 191.125023 134.227033 \nL 192.404802 132.720793 \nL 193.50881 131.218089 \nL 194.402804 129.749717 \nL 195.053594 128.349306 \nL 195.430662 127.05215 \nL 195.507943 125.893631 \nL 195.265662 124.907348 \nL 194.692054 124.12303 \nL 193.784783 123.564461 \nL 192.551874 123.247652 \nL 191.011982 123.179471 \nL 189.193912 123.356998 \nL 187.135366 123.767752 \nL 184.881034 124.390712 \nL 182.480177 125.198138 \nL 177.443061 127.23588 \nL 172.412493 129.615113 \nL 167.704954 132.106326 \nL 163.533958 134.553225 \nL 160.010992 136.875126 \nL 157.166091 139.047582 \nL 154.974818 141.077325 \nL 153.382889 142.981745 \nL 152.324834 144.776349 \nL 151.736412 146.469075 \nL 151.561923 148.059052 \nL 151.757871 149.537484 \nL 152.294278 150.889073 \nL 153.154602 152.093213 \nL 154.334872 153.12455 \nL 155.842402 153.952879 \nL 157.694185 154.542453 \nL 159.914902 154.850879 \nL 162.534243 154.827838 \nL 165.583067 154.413993 \nL 169.087682 153.5407 \nL 173.06131 152.131522 \nL 177.491582 150.107071 \nL 179.862916 148.840915 \nL 182.323093 147.395468 \nL 184.854725 145.766013 \nL 187.434652 143.951266 \nL 190.03309 141.954603 \nL 192.612862 139.785457 \nL 195.128812 137.460843 \nL 197.527568 135.00686 \nL 199.747774 132.460079 \nL 201.721046 129.868479 \nL 203.373788 127.29173 \nL 204.630065 124.800379 \nL 205.415602 122.473676 \nL 205.662803 120.395736 \nL 205.316535 118.650034 \nL 204.340118 117.312488 \nL 202.720732 116.443845 \nL 200.473337 116.082408 \nL 197.642174 116.238515 \nL 194.299256 116.891995 \nL 190.53972 117.993459 \nL 186.474534 119.469544 \nL 182.221658 121.231227 \nL 173.606555 125.23624 \nL 165.470662 129.340879 \nL 155.163344 134.828122 \nL 149.774417 137.884267 \nL 145.506322 140.535401 \nL 142.201943 142.902289 \nL 139.678374 145.093049 \nL 137.758477 147.184051 \nL 136.285564 149.219942 \nL 135.128075 151.221263 \nL 133.754869 154.167372 \nL 130.977072 160.693459 \nL 129.552341 163.296235 \nL 128.420085 164.958326 \nL 127.093488 166.559254 \nL 125.527107 168.09547 \nL 123.669997 169.560401 \nL 121.46429 170.941954 \nL 118.844309 172.21901 \nL 115.736623 173.356408 \nL 112.061758 174.297883 \nL 109.986198 174.669445 \nL 107.738842 174.956253 \nL 105.31094 175.140444 \nL 102.695269 175.200419 \nL 99.88695 175.110295 \nL 96.884491 174.839369 \nL 93.691102 174.351645 \nL 90.316324 173.605526 \nL 86.777987 172.553804 \nL 83.104489 171.144105 \nL 79.337336 169.320067 \nL 75.533806 167.023517 \nL 71.769434 164.197988 \nL 68.139959 160.79391 \nL 64.762051 156.775657 \nL 61.772105 152.130459 \nL 59.322176 146.878638 \nL 57.572271 141.084067 \nL 56.678575 134.862884 \nL 56.777997 128.387812 \nL 57.970474 121.885111 \nL 60.301869 115.621883 \nL 63.751121 109.883094 \nL 68.225423 104.940648 \nL 73.56581 101.019756 \nL 79.563132 98.269889 \nL 85.981416 96.747267 \nL 92.583697 96.413079 \nL 99.154848 97.147052 \nL 105.517521 98.772036 \nL 111.539661 101.082836 \nL 117.134431 103.872811 \nL 122.254877 106.953927 \nL 126.88593 110.168614 \nL 131.035957 113.394101 \nL 134.729183 116.541281 \nL 137.999587 119.550262 \nL 143.430791 125.025361 \nL 147.655709 129.708828 \nL 158.009121 141.641288 \nL 159.965941 143.304712 \nL 161.938541 144.545293 \nL 164.009673 145.38611 \nL 166.240091 145.836204 \nL 168.670809 145.893277 \nL 171.323362 145.546949 \nL 174.197911 144.782971 \nL 177.26929 143.588922 \nL 180.481321 141.961966 \nL 183.74024 139.918993 \nL 186.908975 137.508851 \nL 189.805042 134.825114 \nL 191.082506 133.424682 \nL 192.206032 132.015895 \nL 193.144428 130.626 \nL 193.866988 129.285009 \nL 194.344849 128.024787 \nL 194.55253 126.877819 \nL 194.469531 125.875663 \nL 194.081918 125.047209 \nL 193.383697 124.416844 \nL 192.377833 124.002751 \nL 191.07676 123.815517 \nL 189.502284 123.857278 \nL 187.684805 124.12152 \nL 185.661939 124.593596 \nL 183.476605 125.252001 \nL 178.803351 127.018224 \nL 174.029645 129.18372 \nL 169.471152 131.526712 \nL 165.357556 133.8816 \nL 161.824612 136.150435 \nL 158.927274 138.291514 \nL 156.662315 140.2985 \nL 154.991371 142.180796 \nL 153.859768 143.949966 \nL 153.209835 145.612557 \nL 152.989311 147.167502 \nL 153.155968 148.606138 \nL 153.679661 149.91313 \nL 154.54273 151.067482 \nL 155.7394 152.043072 \nL 157.274567 152.808658 \nL 159.162083 153.327368 \nL 161.422492 153.555832 \nL 164.079926 153.443315 \nL 167.157676 152.931182 \nL 170.671776 151.953464 \nL 174.621709 150.439569 \nL 178.977364 148.320715 \nL 181.285633 147.016297 \nL 183.661605 145.542233 \nL 186.084777 143.897248 \nL 188.528922 142.084042 \nL 190.961431 140.110457 \nL 193.342816 137.990738 \nL 195.626457 135.746805 \nL 197.758765 133.409429 \nL 199.679885 131.019073 \nL 201.325115 128.626238 \nL 202.627145 126.290973 \nL 203.51924 124.081328 \nL 203.939267 122.070498 \nL 203.834435 120.332607 \nL 203.166321 118.937281 \nL 201.915638 117.94344 \nL 200.08602 117.393099 \nL 197.706088 117.306161 \nL 194.829219 117.677252 \nL 191.530723 118.475448 \nL 187.902687 119.647146 \nL 184.047088 121.121829 \nL 180.068209 122.819691 \nL 172.12742 126.567385 \nL 164.724886 130.346928 \nL 158.253976 133.830589 \nL 152.868758 136.907368 \nL 148.551844 139.608527 \nL 145.18879 142.025125 \nL 142.624853 144.252265 \nL 140.700256 146.363433 \nL 139.268732 148.405042 \nL 138.205275 150.400679 \nL 137.407653 152.358248 \nL 136.537064 155.219444 \nL 135.498878 159.740621 \nL 134.499749 163.895202 \nL 133.76084 166.207648 \nL 132.829485 168.395268 \nL 131.625373 170.472307 \nL 130.623368 171.803312 \nL 129.420941 173.096198 \nL 127.975214 174.353543 \nL 126.234815 175.575121 \nL 124.138349 176.755867 \nL 121.612996 177.882751 \nL 118.573565 178.929997 \nL 114.922673 179.851831 \nL 110.553274 180.571712 \nL 108.064637 180.819894 \nL 105.355744 180.966838 \nL 102.41498 180.98647 \nL 99.233189 180.846844 \nL 95.805036 180.50922 \nL 92.130787 179.927162 \nL 88.2186 179.045803 \nL 84.087352 177.801454 \nL 79.770074 176.121839 \nL 75.317908 173.927377 \nL 70.804421 171.134009 \nL 66.329828 167.658243 \nL 62.024512 163.425016 \nL 58.050662 158.378941 \nL 54.600659 152.498986 \nL 51.890482 145.815759 \nL 50.146567 138.429252 \nL 49.585359 130.523142 \nL 50.38648 122.37024 \nL 52.662981 114.323308 \nL 56.434706 106.787271 \nL 61.612349 100.173357 \nL 67.998714 94.84234 \nL 75.3096 91.04974 \nL 83.210594 88.907889 \nL 91.360827 88.375678 \nL 99.45275 89.277947 \nL 107.239436 91.34702 \nL 114.546084 94.273095 \nL 121.2676 97.750244 \nL 127.35727 101.509351 \nL 132.811853 105.335389 \nL 137.657167 109.071245 \nL 141.93628 112.612483 \nL 149.005521 118.897284 \nL 156.683796 126.179002 \nL 163.352826 132.505078 \nL 165.768175 134.575907 \nL 167.82422 136.092172 \nL 169.651036 137.148575 \nL 171.340299 137.816735 \nL 172.951883 138.151224 \nL 174.519135 138.195133 \nL 176.052984 137.984993 \nL 177.545225 137.555005 \nL 178.971329 136.940649 \nL 180.293283 136.181527 \nL 181.462888 135.323237 \nL 182.425908 134.417976 \nL 183.127325 133.523545 \nL 183.517536 132.700548 \nL 183.559084 132.007918 \nL 183.232953 131.497337 \nL 182.54334 131.207568 \nL 181.519677 131.160008 \nL 180.215268 131.356591 \nL 178.702539 131.780724 \nL 176.228348 132.772003 \nL 173.766823 134.062287 \nL 171.573036 135.504487 \nL 169.834617 136.970948 \nL 168.987873 137.911382 \nL 168.413607 138.793336 \nL 168.12003 139.595702 \nL 168.108026 140.299083 \nL 168.373183 140.884831 \nL 168.907196 141.334498 \nL 169.698548 141.629711 \nL 170.732466 141.752456 \nL 171.990182 141.685791 \nL 173.447592 141.415027 \nL 175.073402 140.929391 \nL 176.826985 140.224269 \nL 178.656213 139.303944 \nL 180.495738 138.184753 \nL 182.266339 136.89819 \nL 183.876074 135.493402 \nL 185.224089 134.038061 \nL 186.207671 132.616476 \nL 186.732587 131.323999 \nL 186.799022 130.756697 \nL 186.725779 130.257411 \nL 186.509162 129.836375 \nL 186.148298 129.502275 \nL 185.645314 129.261877 \nL 185.005422 129.119733 \nL 183.350708 129.136358 \nL 181.281993 129.540334 \nL 178.929558 130.285574 \nL 176.439173 131.302447 \nL 173.954262 132.51155 \nL 171.601242 133.836299 \nL 169.480531 135.211319 \nL 167.663555 136.585722 \nL 166.194646 137.922211 \nL 165.095864 139.193793 \nL 164.372962 140.379844 \nL 164.021139 141.462586 \nL 164.029808 142.424499 \nL 164.386058 143.246747 \nL 165.07676 143.908336 \nL 166.089414 144.385914 \nL 167.411839 144.654001 \nL 169.03081 144.685618 \nL 170.929703 144.453434 \nL 173.085172 143.931611 \nL 175.462915 143.098609 \nL 178.012711 141.941252 \nL 180.663139 140.460264 \nL 183.316793 138.677165 \nL 185.847371 136.641858 \nL 188.100633 134.439381 \nL 189.901551 132.19317 \nL 190.575611 131.102016 \nL 191.069723 130.061311 \nL 191.364461 129.093945 \nL 191.443447 128.22259 \nL 191.294341 127.468686 \nL 190.909762 126.851351 \nL 190.28802 126.38632 \nL 189.433617 126.084981 \nL 188.357419 125.953667 \nL 187.076456 125.993255 \nL 185.613353 126.199142 \nL 183.995406 126.561629 \nL 180.420248 127.696867 \nL 176.614298 129.253872 \nL 172.831782 131.07276 \nL 169.284499 133.011563 \nL 166.124654 134.964712 \nL 163.443532 136.865981 \nL 161.280934 138.680747 \nL 159.639325 140.394292 \nL 158.498096 142.001012 \nL 157.825477 143.496755 \nL 157.58727 144.8744 \nL 157.752561 146.121943 \nL 158.296975 147.221968 \nL 159.204053 148.151746 \nL 160.465242 148.883467 \nL 162.078834 149.384389 \nL 164.047944 149.616886 \nL 166.377476 149.538619 \nL 169.069868 149.103187 \nL 172.119255 148.261834 \nL 175.503655 146.966976 \nL 179.174937 145.178613 \nL 183.046656 142.874654 \nL 186.98089 140.066033 \nL 188.911327 138.489668 \nL 190.776703 136.816225 \nL 192.541225 135.065344 \nL 194.165258 133.262376 \nL 195.606074 131.438587 \nL 196.819032 129.630993 \nL 197.759212 127.881672 \nL 198.383496 126.236501 \nL 198.653044 124.743225 \nL 198.53601 123.448902 \nL 198.010259 122.396879 \nL 197.065854 121.623498 \nL 195.706897 121.154986 \nL 193.952474 121.004903 \nL 191.836439 121.172607 \nL 189.405935 121.64309 \nL 186.718765 122.388232 \nL 183.839863 123.369452 \nL 180.837312 124.541264 \nL 174.725835 127.264442 \nL 168.85424 130.202248 \nL 163.557407 133.095941 \nL 159.019547 135.808166 \nL 155.298508 138.300102 \nL 152.36586 140.590542 \nL 150.145179 142.719658 \nL 148.54098 144.726284 \nL 147.457452 146.637771 \nL 146.809044 148.468033 \nL 146.525454 150.219546 \nL 146.553176 151.886475 \nL 146.855139 153.457509 \nL 147.409462 154.917773 \nL 148.207951 156.249796 \nL 149.254677 157.433602 \nL 150.564782 158.44611 \nL 152.163528 159.259946 \nL 154.085475 159.841802 \nL 156.37357 160.150355 \nL 159.077783 160.133877 \nL 162.252725 159.72769 \nL 165.953393 158.851886 \nL 170.227793 157.410166 \nL 172.590355 156.4428 \nL 175.104708 155.291406 \nL 177.768295 153.940934 \nL 180.574464 152.376801 \nL 183.511333 150.585744 \nL 186.560482 148.556983 \nL 189.695533 146.283736 \nL 192.880613 143.765121 \nL 196.068867 141.008436 \nL 199.201144 138.031812 \nL 202.205096 134.867037 \nL 204.995008 131.562322 \nL 207.472732 128.184579 \nL 209.530168 124.820604 \nL 211.053678 121.576417 \nL 211.93069 118.57396 \nL 212.058481 115.944494 \nL 211.35462 113.818367 \nL 209.767954 112.311783 \nL 207.288474 111.51199 \nL 203.953886 111.463492 \nL 199.850976 112.158537 \nL 195.110519 113.534706 \nL 189.895945 115.481238 \nL 184.38754 117.853311 \nL 178.765169 120.491347 \nL 167.806971 125.969393 \nL 146.206126 136.912545 \nL 137.886344 141.137708 \nL 133.865041 143.385272 \nL 130.741456 145.400107 \nL 128.26455 147.300275 \nL 126.221052 149.147815 \nL 123.594684 151.863667 \nL 120.239068 155.339923 \nL 118.406483 156.967968 \nL 116.370783 158.484076 \nL 114.070259 159.852414 \nL 111.451471 161.028934 \nL 108.469683 161.95769 \nL 105.091934 162.566393 \nL 103.248975 162.722497 \nL 101.303383 162.761707 \nL 99.257849 162.668431 \nL 97.117756 162.425413 \nL 94.891774 162.013822 \nL 92.59251 161.413471 \nL 90.237217 160.603218 \nL 87.848508 159.561603 \nL 85.45503 158.267761 \nL 83.092014 156.702687 \nL 80.801606 154.85088 \nL 78.632849 152.702351 \nL 76.641151 150.254988 \nL 74.887111 147.517113 \nL 73.434553 144.510056 \nL 72.347691 141.270392 \nL 71.687465 137.851452 \nL 71.507219 134.323607 \nL 71.848038 130.772897 \nL 72.734311 127.297675 \nL 74.170114 124.003266 \nL 76.137051 120.99491 \nL 78.594101 118.369808 \nL 81.479644 116.209235 \nL 84.715565 114.571964 \nL 88.212893 113.490046 \nL 91.878194 112.967518 \nL 95.619832 112.982161 \nL 99.35333 113.489845 \nL 103.00529 114.430483 \nL 106.515701 115.734636 \nL 109.838707 117.329735 \nL 112.942127 119.145273 \nL 115.806105 121.116586 \nL 118.421293 123.187139 \nL 120.786846 125.309579 \nL 122.90847 127.445754 \nL 124.796667 129.566071 \nL 126.465219 131.648467 \nL 127.92995 133.677233 \nL 130.315778 137.53572 \nL 132.089595 141.100417 \nL 133.37721 144.36872 \nL 134.287201 147.357979 \nL 134.908535 150.09424 \nL 135.447602 153.786233 \nL 135.657922 157.06303 \nL 135.640904 160.001392 \nL 135.450099 162.663182 \nL 135.104803 165.097648 \nL 134.598731 167.344641 \nL 133.904323 169.437556 \nL 132.973442 171.405534 \nL 132.187464 172.661067 \nL 131.237675 173.879558 \nL 130.089918 175.066902 \nL 128.702374 176.227402 \nL 127.024152 177.362697 \nL 124.993724 178.469962 \nL 122.537357 179.539044 \nL 119.567827 180.547929 \nL 115.98405 181.45574 \nL 111.672759 182.192133 \nL 109.206861 182.462289 \nL 106.514316 182.641668 \nL 103.581386 182.705177 \nL 100.396318 182.621758 \nL 96.950643 182.353348 \nL 93.240906 181.853806 \nL 89.270924 181.067934 \nL 85.054649 179.930751 \nL 80.619722 178.367312 \nL 76.011687 176.293452 \nL 71.298756 173.618033 \nL 66.576779 170.247364 \nL 61.973788 166.092617 \nL 57.653022 161.080956 \nL 53.812952 155.170786 \nL 50.682288 148.370664 \nL 48.508027 140.760041 \nL 47.535036 132.507969 \nL 47.977496 123.883883 \nL 49.985123 115.253368 \nL 53.6105 107.053 \nL 58.786343 99.742884 \nL 65.321269 93.743007 \nL 72.91862 89.36744 \nL 81.215737 86.774424 \nL 89.834006 85.947173 \nL 98.426525 86.710368 \nL 106.712212 88.775241 \nL 114.491295 91.797853 \nL 121.643721 95.434071 \nL 128.116333 99.379761 \nL 133.905439 103.392304 \nL 139.03989 107.295733 \nL 143.567293 110.974746 \nL 151.029243 117.431853 \nL 167.226233 131.909499 \nL 169.383325 133.554675 \nL 171.169365 134.714258 \nL 172.692815 135.487211 \nL 174.02829 135.949827 \nL 175.223489 136.162094 \nL 176.304909 136.172918 \nL 177.732118 135.901846 \nL 178.908146 135.397033 \nL 179.782041 134.776782 \nL 180.291784 134.155322 \nL 180.403728 133.793145 \nL 180.323961 133.504931 \nL 180.053879 133.312573 \nL 179.604586 133.231282 \nL 178.642762 133.33214 \nL 177.432244 133.691741 \nL 175.663454 134.50151 \nL 174.018532 135.548159 \nL 173.036098 136.385889 \nL 172.364734 137.192643 \nL 172.05631 137.90745 \nL 172.064553 138.306199 \nL 172.244861 138.626085 \nL 172.592832 138.854458 \nL 173.099703 138.980251 \nL 174.128172 138.957288 \nL 175.420704 138.663778 \nL 176.889717 138.097986 \nL 178.421356 137.282961 \nL 179.876749 136.272942 \nL 181.099278 135.156579 \nL 181.930607 134.053495 \nL 182.198904 133.393162 \nL 182.204033 132.840201 \nL 181.932116 132.430128 \nL 181.386252 132.189873 \nL 180.587526 132.134889 \nL 179.573983 132.267693 \nL 177.76715 132.793934 \nL 175.804532 133.641808 \nL 173.901045 134.70633 \nL 172.243968 135.877239 \nL 170.973392 137.054661 \nL 170.178036 138.154325 \nL 169.934902 138.80889 \nL 169.92698 139.378732 \nL 170.15258 139.846557 \nL 170.605372 140.196019 \nL 171.274871 140.411738 \nL 172.146461 140.479616 \nL 173.200948 140.387499 \nL 175.070047 139.930294 \nL 177.182029 139.082143 \nL 179.383747 137.866955 \nL 181.476532 136.358021 \nL 182.694955 135.252098 \nL 183.684332 134.128039 \nL 184.371639 133.049848 \nL 184.693607 132.086418 \nL 184.604882 131.304796 \nL 184.399153 131.000654 \nL 184.085651 130.76222 \nL 183.146953 130.498441 \nL 181.832109 130.530267 \nL 180.213412 130.849835 \nL 178.384482 131.427222 \nL 176.449776 132.216577 \nL 173.575158 133.679735 \nL 171.000084 135.319385 \nL 168.943453 136.986726 \nL 167.926451 138.057823 \nL 167.216155 139.066579 \nL 166.819574 139.991679 \nL 166.735797 140.813628 \nL 166.958741 141.513388 \nL 167.479071 142.071537 \nL 168.285193 142.467962 \nL 169.363355 142.682005 \nL 170.69689 142.693076 \nL 172.264664 142.481748 \nL 174.038841 142.031435 \nL 175.982099 141.330739 \nL 178.044549 140.376595 \nL 180.160785 139.178103 \nL 182.247763 137.760899 \nL 184.204389 136.171294 \nL 185.914043 134.479204 \nL 187.251153 132.778207 \nL 188.092524 131.181106 \nL 188.293248 130.459632 \nL 188.332982 129.809721 \nL 188.204341 129.245436 \nL 187.903246 128.77925 \nL 187.429314 128.421473 \nL 186.786098 128.179749 \nL 185.98115 128.058685 \nL 185.025905 128.059625 \nL 182.727511 128.41668 \nL 180.043306 129.200471 \nL 177.151468 130.325499 \nL 174.231276 131.690482 \nL 171.441912 133.197109 \nL 168.909044 134.762902 \nL 166.720188 136.32638 \nL 164.927214 137.845724 \nL 163.553112 139.293796 \nL 162.600294 140.652226 \nL 162.058511 141.90631 \nL 161.911337 143.041401 \nL 162.140856 144.040759 \nL 162.730607 144.884476 \nL 163.666974 145.54915 \nL 164.939259 146.007922 \nL 166.538585 146.230879 \nL 168.455731 146.185708 \nL 170.677849 145.838962 \nL 173.184045 145.158171 \nL 175.939746 144.115234 \nL 178.890002 142.691659 \nL 181.95216 140.885972 \nL 185.009009 138.72328 \nL 187.904315 136.266187 \nL 190.443751 133.624708 \nL 191.511082 132.283552 \nL 192.404865 130.961112 \nL 193.096555 129.684884 \nL 193.559373 128.484041 \nL 193.769664 127.388328 \nL 193.708335 126.426683 \nL 193.36225 125.625694 \nL 192.725451 125.007987 \nL 191.800094 124.590711 \nL 190.596913 124.38428 \nL 189.135179 124.391589 \nL 187.442057 124.607769 \nL 185.551432 125.020607 \nL 183.502269 125.611518 \nL 179.097805 127.23076 \nL 174.566843 129.252531 \nL 170.208573 131.471104 \nL 166.247247 133.727046 \nL 162.821894 135.920541 \nL 159.995798 138.003764 \nL 157.775833 139.963368 \nL 156.13334 141.802784 \nL 155.021864 143.529311 \nL 154.390143 145.146744 \nL 154.190589 146.652334 \nL 154.384154 148.03628 \nL 154.942655 149.282319 \nL 155.849382 150.368475 \nL 157.098608 151.267501 \nL 158.694363 151.946891 \nL 160.648574 152.368456 \nL 162.978495 152.487722 \nL 165.70312 152.253426 \nL 168.838136 151.607635 \nL 172.388687 150.487263 \nL 176.33928 148.828172 \nL 180.640108 146.573414 \nL 182.892715 145.210198 \nL 185.189746 143.687552 \nL 187.507206 142.008032 \nL 189.81545 140.178755 \nL 192.078728 138.212472 \nL 194.254996 136.128668 \nL 196.296042 133.954552 \nL 198.14807 131.72581 \nL 199.752898 129.486917 \nL 201.049842 127.290783 \nL 201.978366 125.197528 \nL 202.481495 123.272181 \nL 202.509811 121.581268 \nL 202.025767 120.188321 \nL 201.007876 119.148703 \nL 199.454175 118.504288 \nL 197.384387 118.27878 \nL 194.840255 118.474521 \nL 191.883735 119.071557 \nL 188.593157 120.029249 \nL 185.057718 121.290435 \nL 181.371122 122.787388 \nL 173.904388 126.20556 \nL 166.81585 129.77544 \nL 160.51841 133.15735 \nL 155.205843 136.204797 \nL 150.902511 138.91268 \nL 147.528488 141.346047 \nL 144.954099 143.585664 \nL 143.036488 145.699159 \nL 141.640469 147.731777 \nL 140.648448 149.707858 \nL 139.963678 151.636324 \nL 139.509814 153.516531 \nL 139.138992 156.233782 \nL 139.025594 158.805935 \nL 139.145379 161.974676 \nL 139.50621 164.817403 \nL 139.932168 166.725023 \nL 140.513948 168.433999 \nL 141.290876 169.936237 \nL 141.9452 170.816233 \nL 142.734538 171.591632 \nL 143.686987 172.252994 \nL 144.836931 172.787065 \nL 146.226202 173.175481 \nL 147.905399 173.393024 \nL 149.935293 173.40528 \nL 152.388139 173.165527 \nL 155.348574 172.610638 \nL 158.913458 171.655901 \nL 163.189539 170.188831 \nL 168.286965 168.062654 \nL 171.175849 166.69585 \nL 174.30542 165.091367 \nL 177.682213 163.219961 \nL 181.307821 161.050768 \nL 185.17689 158.552322 \nL 189.274599 155.694224 \nL 193.573619 152.449599 \nL 198.03054 148.798589 \nL 202.581867 144.733104 \nL 207.139839 140.262911 \nL 211.588504 135.423076 \nL 215.780771 130.282344 \nL 219.537574 124.951611 \nL 222.650553 119.590818 \nL 224.889948 114.411776 \nL 226.019349 109.673609 \nL 225.8182 105.667289 \nL 224.111218 102.686766 \nL 220.801303 100.987284 \nL 215.899182 100.736675 \nL 209.540695 101.971159 \nL 201.98327 104.571074 \nL 193.577907 108.269026 \nL 184.721344 112.693111 \nL 151.528434 130.237969 \nL 144.78929 133.414789 \nL 138.797373 135.975409 \nL 133.520979 137.97322 \nL 128.904601 139.488696 \nL 124.881916 140.610108 \nL 121.384257 141.421329 \nL 115.704953 142.393185 \nL 111.405435 142.837737 \nL 106.773527 143.043232 \nL 102.735993 142.981269 \nL 100.084755 142.722413 \nL 98.634715 142.394567 \nL 97.512151 141.939159 \nL 96.672314 141.362662 \nL 96.107572 140.694052 \nL 95.824327 139.983317 \nL 95.825427 139.295599 \nL 96.097908 138.702026 \nL 96.606645 138.268624 \nL 97.294072 138.045673 \nL 98.085327 138.059869 \nL 98.896891 138.311043 \nL 99.646266 138.773698 \nL 100.260457 139.40219 \nL 100.681924 140.13764 \nL 100.871731 140.914727 \nL 100.810468 141.667193 \nL 100.497951 142.331806 \nL 99.952497 142.851108 \nL 99.210364 143.17572 \nL 98.325251 143.266978 \nL 97.367393 143.100504 \nL 96.421234 142.670809 \nL 95.580565 141.996427 \nL 94.940163 141.124038 \nL 94.584022 140.129491 \nL 94.535289 139.447533 \nL 94.648914 138.789483 \nL 94.925065 138.189762 \nL 95.354736 137.680943 \nL 95.920005 137.291233 \nL 96.595139 137.042285 \nL 97.348385 136.947655 \nL 98.144222 137.012067 \nL 98.945762 137.231554 \nL 100.080823 137.823989 \nL 101.040476 138.672533 \nL 101.740111 139.693018 \nL 102.122402 140.793625 \nL 102.184945 141.526715 \nL 102.089715 142.229125 \nL 101.838525 142.876602 \nL 101.437521 143.446478 \nL 100.897064 143.917758 \nL 100.231787 144.271273 \nL 99.460731 144.489933 \nL 98.607549 144.559222 \nL 97.700652 144.467938 \nL 96.773161 144.20922 \nL 95.862519 143.781828 \nL 95.009608 143.19155 \nL 94.257212 142.452576 \nL 93.647766 141.588554 \nL 93.220476 140.632965 \nL 93.00796 139.628528 \nL 93.032832 138.625332 \nL 93.304757 137.677663 \nL 93.818476 136.839785 \nL 94.553333 136.16114 \nL 95.474492 135.681802 \nL 96.535701 135.428905 \nL 97.683247 135.414682 \nL 98.860386 135.63635 \nL 100.011596 136.077699 \nL 101.086083 136.711868 \nL 102.040206 137.504671 \nL 102.838764 138.4179 \nL 103.455265 139.412106 \nL 103.871473 140.448634 \nL 104.076512 141.490887 \nL 104.065835 142.504867 \nL 103.840286 143.459245 \nL 103.405416 144.325048 \nL 102.771137 145.07524 \nL 101.951758 145.684315 \nL 100.966397 146.128091 \nL 99.839672 146.383814 \nL 98.602582 146.43074 \nL 97.293377 146.251254 \nL 95.958189 145.832699 \nL 94.651053 145.169785 \nL 93.432994 144.267553 \nL 92.369813 143.144488 \nL 91.528294 141.835195 \nL 90.970904 140.391916 \nL 90.749305 138.883909 \nL 90.897609 137.39406 \nL 91.4266 136.012495 \nL 92.320283 134.827768 \nL 93.53581 133.917107 \nL 95.007173 133.337677 \nL 96.652003 133.120738 \nL 98.380152 133.269915 \nL 100.102363 133.763611 \nL 101.737457 134.560503 \nL 103.21717 135.60656 \nL 104.488374 136.841948 \nL 105.513079 138.206667 \nL 106.266858 139.64438 \nL 106.736435 141.104433 \nL 106.917088 142.542377 \nL 106.810312 143.919411 \nL 106.422029 145.201232 \nL 105.761508 146.356572 \nL 104.841026 147.355734 \nL 103.676291 148.169321 \nL 102.287571 148.767308 \nL 100.701443 149.11867 \nL 98.953034 149.191787 \nL 97.088525 148.955852 \nL 95.167497 148.38361 \nL 93.264588 147.455605 \nL 91.469619 146.166002 \nL 89.885258 144.529516 \nL 89.206332 143.593175 \nL 88.621336 142.588492 \nL 88.143555 141.52597 \nL 87.785339 140.418328 \nL 87.557637 139.280388 \nL 87.469528 138.128877 \nL 87.527772 136.982095 \nL 87.736421 135.859453 \nL 88.0965 134.780907 \nL 88.605804 133.766312 \nL 89.25883 132.83471 \nL 90.046869 132.003644 \nL 90.958223 131.288484 \nL 91.978574 130.701879 \nL 93.091479 130.253325 \nL 94.278922 129.94891 \nL 95.521933 129.79123 \nL 96.801213 129.779494 \nL 98.0977 129.909766 \nL 99.393105 130.175372 \nL 100.670329 130.567355 \nL 101.913806 131.075018 \nL 104.24613 132.388999 \nL 106.302149 134.016148 \nL 108.023206 135.856819 \nL 109.376055 137.821521 \nL 110.347073 139.834954 \nL 110.936162 141.836464 \nL 111.151296 143.778287 \nL 111.004285 145.622664 \nL 110.50786 147.338578 \nL 109.6741 148.898555 \nL 108.514071 150.275766 \nL 107.0386 151.44144 \nL 105.260123 152.362693 \nL 103.195606 153.000894 \nL 100.870541 153.310755 \nL 98.323978 153.2406 \nL 95.614345 152.734476 \nL 94.223435 152.300381 \nL 92.825487 151.736946 \nL 91.435799 151.038701 \nL 90.071752 150.201492 \nL 88.752782 149.222983 \nL 87.500232 148.103195 \nL 86.337075 146.845104 \nL 85.287487 145.45522 \nL 84.376244 143.944118 \nL 83.627954 142.326875 \nL 83.066134 140.623327 \nL 82.712162 138.858107 \nL 82.584159 137.060347 \nL 82.695877 135.263075 \nL 83.05569 133.502216 \nL 83.665776 131.815265 \nL 84.521612 130.2397 \nL 85.611811 128.81121 \nL 86.918388 127.561935 \nL 88.417433 126.518846 \nL 90.080153 125.702456 \nL 91.874177 125.12595 \nL 93.76504 124.794851 \nL 95.717669 124.707195 \nL 97.697807 124.854212 \nL 99.673217 125.221367 \nL 101.614641 125.789622 \nL 103.496451 126.536847 \nL 105.297021 127.439158 \nL 106.99883 128.472154 \nL 108.588342 129.611922 \nL 110.055727 130.835832 \nL 111.394475 132.12308 \nL 112.600936 133.455026 \nL 113.673845 134.815326 \nL 115.423053 137.567043 \nL 116.662495 140.291198 \nL 117.424341 142.929471 \nL 117.743595 145.444889 \nL 117.652126 147.814815 \nL 117.175147 150.025028 \nL 116.329559 152.064896 \nL 115.123693 153.923472 \nL 113.558125 155.586138 \nL 111.627433 157.031525 \nL 109.322968 158.228468 \nL 106.63688 159.132906 \nL 105.149854 159.457373 \nL 103.567822 159.684792 \nL 101.892928 159.804727 \nL 100.128855 159.805494 \nL 98.28123 159.674183 \nL 96.358068 159.396738 \nL 94.370247 158.958161 \nL 92.33203 158.342813 \nL 90.261557 157.534885 \nL 88.181324 156.519037 \nL 86.118575 155.281275 \nL 84.105532 153.810056 \nL 82.179424 152.097626 \nL 80.382183 150.141597 \nL 78.759736 147.946635 \nL 77.3608 145.526204 \nL 76.235144 142.904156 \nL 75.431282 140.115928 \nL 74.993686 137.209084 \nL 74.959695 134.242922 \nL 75.356365 131.286924 \nL 76.197604 128.417905 \nL 77.482039 125.715993 \nL 79.191892 123.259669 \nL 81.293219 121.120413 \nL 83.737526 119.357586 \nL 86.464665 118.014282 \nL 89.406691 117.114671 \nL 92.49216 116.663221 \nL 95.650374 116.6458 \nL 98.815108 117.032381 \nL 101.927469 117.78088 \nL 104.937749 118.841405 \nL 107.806276 120.160495 \nL 110.503409 121.684762 \nL 113.008885 123.363757 \nL 115.310741 125.151899 \nL 117.404015 127.0096 \nL 119.289396 128.903644 \nL 120.971936 130.807062 \nL 122.459868 132.698642 \nL 123.763615 134.562249 \nL 125.866262 138.161872 \nL 127.378864 141.55021 \nL 128.396876 144.708462 \nL 129.003797 147.639437 \nL 129.267367 150.357316 \nL 129.23862 152.881243 \nL 128.952497 155.231487 \nL 128.429155 157.427243 \nL 127.675425 159.485342 \nL 126.686129 161.41941 \nL 125.445086 163.239155 \nL 123.925822 164.949491 \nL 122.092039 166.549239 \nL 119.898042 168.029124 \nL 117.289426 169.368743 \nL 114.20455 170.532096 \nL 110.577609 171.461237 \nL 108.540544 171.811799 \nL 106.344606 172.067656 \nL 103.983844 172.21116 \nL 101.454153 172.221281 \nL 98.754087 172.073202 \nL 95.885853 171.737973 \nL 92.856543 171.182283 \nL 89.679605 170.36842 \nL 86.376546 169.25457 \nL 82.978834 167.795598 \nL 79.529916 165.944486 \nL 76.087172 163.654733 \nL 72.723561 160.88381 \nL 69.528547 157.597997 \nL 66.607839 153.778506 \nL 64.081322 149.428804 \nL 62.078588 144.582437 \nL 60.731639 139.310389 \nL 60.164683 133.726288 \nL 60.481641 127.987557 \nL 61.752688 122.290562 \nL 64.002115 116.858564 \nL 67.200045 111.922647 \nL 71.260524 107.69786 \nL 76.047197 104.358607 \nL 81.386178 102.018287 \nL 87.083851 100.717763 \nL 92.946073 100.425007 \nL 98.795158 101.045496 \nL 104.482029 102.440202 \nL 109.892408 104.446668 \nL 114.947563 106.898784 \nL 119.601051 109.6422 \nL 123.833203 112.544075 \nL 127.644929 115.497417 \nL 131.051861 118.421261 \nL 134.079382 121.25808 \nL 136.75874 123.969899 \nL 141.210768 128.939168 \nL 144.684955 133.264361 \nL 148.617829 138.610722 \nL 152.552787 143.926349 \nL 154.312521 145.931055 \nL 156.089417 147.550573 \nL 157.972562 148.80452 \nL 160.034654 149.698454 \nL 162.335275 150.224602 \nL 164.922438 150.362805 \nL 167.832037 150.081895 \nL 171.084856 149.341991 \nL 174.680674 148.098524 \nL 178.589127 146.309169 \nL 182.737322 143.945031 \nL 184.863293 142.546067 \nL 186.995064 141.007429 \nL 189.104999 139.337742 \nL 191.160304 137.550601 \nL 193.122994 135.665403 \nL 194.950161 133.708061 \nL 196.594645 131.711451 \nL 198.006194 129.715491 \nL 199.133173 127.766618 \nL 199.924862 125.916598 \nL 200.334297 124.220486 \nL 200.321496 122.733779 \nL 199.856865 121.508798 \nL 198.924381 120.590676 \nL 197.524185 120.013324 \nL 195.674109 119.795946 \nL 193.409801 119.940762 \nL 190.783246 120.432339 \nL 187.859779 121.238879 \nL 184.713848 122.315287 \nL 181.424111 123.607597 \nL 174.719634 126.610312 \nL 168.288072 129.823966 \nL 162.508094 132.947328 \nL 157.57836 135.830304 \nL 153.550078 138.44211 \nL 150.377185 140.81828 \nL 147.962203 143.015887 \nL 146.18938 145.086972 \nL 144.945159 147.067893 \nL 144.129048 148.978324 \nL 143.658213 150.824594 \nL 143.468361 152.604002 \nL 143.512687 154.30855 \nL 143.759997 155.92751 \nL 144.192676 157.448896 \nL 144.804874 158.860004 \nL 145.601071 160.147277 \nL 146.595089 161.295647 \nL 147.809528 162.287506 \nL 149.275549 163.101324 \nL 151.032904 163.709888 \nL 153.130028 164.07815 \nL 155.623918 164.160612 \nL 158.579391 163.898242 \nL 162.067005 163.215057 \nL 166.158579 162.014782 \nL 170.918629 160.1787 \nL 173.563971 158.979143 \nL 176.389299 157.566761 \nL 179.392328 155.922072 \nL 182.565585 154.026002 \nL 185.894846 151.86103 \nL 189.357357 149.412799 \nL 192.9198 146.672235 \nL 196.536153 143.638279 \nL 200.145555 140.32122 \nL 203.670429 136.746555 \nL 207.015255 132.959167 \nL 210.066479 129.027328 \nL 212.6942 125.045859 \nL 214.756296 121.137364 \nL 216.105668 117.450276 \nL 216.600878 114.152376 \nL 216.120002 111.418789 \nL 214.576481 109.414448 \nL 211.934737 108.272492 \nL 208.222373 108.072162 \nL 203.535319 108.821221 \nL 198.033362 110.448421 \nL 191.925463 112.80964 \nL 185.447107 115.707748 \nL 178.834502 118.921785 \nL 149.743535 133.649283 \nL 141.36795 137.52913 \nL 124.227326 145.191292 \nL 121.454173 146.737402 \nL 118.070344 148.938604 \nL 113.116051 152.314244 \nL 111.043345 153.482573 \nL 108.807917 154.483567 \nL 106.364838 155.26531 \nL 103.688889 155.768372 \nL 100.776462 155.924915 \nL 99.237353 155.849706 \nL 97.649812 155.658701 \nL 96.021694 155.341418 \nL 94.363335 154.88733 \nL 92.687783 154.286176 \nL 91.01101 153.528373 \nL 89.35207 152.605535 \nL 87.733161 151.511137 \nL 86.179553 150.241261 \nL 84.719363 148.795451 \nL 83.383104 147.177633 \nL 82.202975 145.397014 \nL 81.211895 143.468921 \nL 80.442253 141.415431 \nL 79.924408 139.265693 \nL 79.685025 137.055829 \nL 79.745329 134.828279 \nL 80.119457 132.630559 \nL 80.813047 130.513394 \nL 81.822265 128.52836 \nL 83.133407 126.725143 \nL 84.723173 125.148725 \nL 86.559627 123.83676 \nL 88.60377 122.817458 \nL 90.811599 122.108181 \nL 93.136391 121.714924 \nL 95.531035 121.632708 \nL 97.950164 121.846792 \nL 100.351915 122.334438 \nL 102.699251 123.067043 \nL 104.960756 124.012389 \nL 107.110989 125.13672 \nL 109.130408 126.406545 \nL 111.005027 127.790034 \nL 112.725831 129.258011 \nL 114.28809 130.784554 \nL 115.690623 132.347254 \nL 116.935076 133.92723 \nL 118.025237 135.508937 \nL 118.966443 137.079887 \nL 120.427944 140.152607 \nL 121.375094 143.092433 \nL 121.862561 145.872073 \nL 121.93766 148.480463 \nL 121.63686 150.915653 \nL 120.984365 153.179601 \nL 119.992003 155.274351 \nL 118.659931 157.199041 \nL 116.977896 158.947264 \nL 114.926997 160.50437 \nL 112.482126 161.844412 \nL 109.615473 162.926442 \nL 108.015778 163.352739 \nL 106.301722 163.690125 \nL 104.471806 163.927222 \nL 102.525857 164.050818 \nL 100.46549 164.045755 \nL 98.294657 163.894851 \nL 96.020287 163.578912 \nL 93.653004 163.076842 \nL 91.207928 162.365934 \nL 88.705525 161.422374 \nL 86.172459 160.222042 \nL 83.642379 158.741666 \nL 81.156547 156.960399 \nL 78.764157 154.861867 \nL 76.5222 152.436662 \nL 74.494664 149.68522 \nL 72.750905 146.620926 \nL 71.363015 143.273097 \nL 70.402155 139.689437 \nL 69.933899 135.937402 \nL 70.012926 132.10386 \nL 70.677545 128.29257 \nL 71.944752 124.619138 \nL 73.806689 121.203665 \nL 76.229194 118.161666 \nL 79.152941 115.594444 \nL 82.497258 113.580307 \nL 86.166141 112.168137 \nL 90.055604 111.374328 \nL 94.061307 111.183522 \nL 98.085365 111.552752 \nL 102.041583 112.418118 \nL 105.858743 113.702601 \nL 109.481939 115.323756 \nL 112.872288 117.200356 \nL 116.005483 119.25732 \nL 118.869674 121.428812 \nL 121.463098 123.659714 \nL 123.791751 125.905782 \nL 125.867274 128.132929 \nL 127.705165 130.31599 \nL 129.323314 132.437283 \nL 131.977258 136.452668 \nL 133.982839 140.135673 \nL 135.483258 143.486235 \nL 136.602806 146.525769 \nL 137.78764 150.568003 \nL 138.832379 155.152112 \nL 140.227883 161.489873 \nL 140.910554 163.682367 \nL 141.749993 165.597464 \nL 142.432817 166.722744 \nL 143.242806 167.724062 \nL 144.208693 168.594963 \nL 145.364299 169.324671 \nL 146.749801 169.897071 \nL 148.413032 170.289223 \nL 150.410779 170.469351 \nL 152.809908 170.39409 \nL 155.688019 170.004927 \nL 159.133066 169.223739 \nL 163.240895 167.947577 \nL 168.108999 166.043377 \nL 170.856111 164.804974 \nL 173.823683 163.344366 \nL 177.016896 161.635726 \nL 180.436419 159.651982 \nL 184.076666 157.365744 \nL 187.923643 154.750753 \nL 191.952351 151.78401 \nL 196.123778 148.448735 \nL 200.381577 144.738335 \nL 204.648583 140.661449 \nL 208.823596 136.24805 \nL 212.77897 131.556262 \nL 216.359891 126.679249 \nL 219.386424 121.750903 \nL 221.659673 116.948437 \nL 222.973295 112.489411 \nL 223.131084 108.620514 \nL 221.970244 105.596061 \nL 219.387997 103.64626 \nL 215.366761 102.938812 \nL 209.991332 103.541778 \nL 203.451226 105.398742 \nL 196.024156 108.326742 \nL 188.0422 112.041652 \nL 179.848261 116.20587 \nL 156.791192 128.336809 \nL 150.199041 131.59431 \nL 144.273518 134.33122 \nL 139.009098 136.567046 \nL 134.370593 138.355854 \nL 130.30603 139.767661 \nL 123.659513 141.745676 \nL 116.527381 143.460485 \nL 102.700932 146.406476 \nL 101.10174 146.524966 \nL 99.537428 146.476371 \nL 98.005393 146.235509 \nL 96.521498 145.783227 \nL 95.117217 145.108954 \nL 93.836557 144.213419 \nL 92.732305 143.111404 \nL 91.861208 141.834041 \nL 91.27802 140.429989 \nL 91.028736 138.964655 \nL 91.143729 137.516824 \nL 91.631931 136.172529 \nL 92.477274 135.016665 \nL 93.638382 134.123708 \nL 95.051793 133.549346 \nL 96.638244 133.324798 \nL 98.310706 133.454952 \nL 99.982566 133.920416 \nL 101.574558 134.682541 \nL 103.0195 135.689994 \nL 104.264609 136.885301 \nL 105.271664 138.210321 \nL 106.01564 139.610014 \nL 106.482506 141.034528 \nL 106.666776 142.439821 \nL 106.569288 143.787247 \nL 106.195474 145.04252 \nL 105.554302 146.174368 \nL 104.657931 147.153166 \nL 103.522088 147.949724 \nL 102.167119 148.53444 \nL 100.619649 148.876994 \nL 98.914687 148.94675 \nL 97.097959 148.714177 \nL 95.228089 148.153506 \nL 93.378051 147.246847 \nL 91.635171 145.989697 \nL 90.098738 144.397524 \nL 89.44095 143.487737 \nL 88.874472 142.512339 \nL 88.41202 141.481549 \nL 88.065394 140.407675 \nL 87.845042 139.305015 \nL 87.759611 138.189665 \nL 87.815532 137.079186 \nL 88.016645 135.992181 \nL 88.363911 134.947757 \nL 88.855223 133.964908 \nL 89.485338 133.061872 \nL 90.245961 132.255453 \nL 91.125943 131.560418 \nL 92.111642 130.988967 \nL 93.187361 130.550316 \nL 94.33589 130.250466 \nL 95.539066 130.092112 \nL 96.778371 130.074718 \nL 98.035469 130.194762 \nL 99.292711 130.446071 \nL 100.533541 130.820282 \nL 102.90707 131.895868 \nL 105.055341 133.329146 \nL 106.905972 135.022456 \nL 108.413148 136.883493 \nL 109.553019 138.831495 \nL 110.318007 140.799508 \nL 110.711233 142.733831 \nL 110.741846 144.591819 \nL 110.421553 146.338949 \nL 109.762445 147.945725 \nL 108.776057 149.384726 \nL 107.473576 150.627968 \nL 105.86713 151.644621 \nL 103.972117 152.399181 \nL 101.810579 152.850315 \nL 99.415584 152.950616 \nL 96.836455 152.64788 \nL 95.499098 152.32854 \nL 94.14445 151.888571 \nL 92.785708 151.322145 \nL 91.438017 150.624375 \nL 90.118484 149.791726 \nL 88.846125 148.822501 \nL 87.641711 147.717356 \nL 86.527469 146.479847 \nL 85.526651 145.11697 \nL 84.662945 143.639641 \nL 83.959717 142.063065 \nL 83.439143 140.40695 \nL 83.121196 138.695483 \nL 83.022608 136.957007 \nL 83.155847 135.223406 \nL 83.528188 133.529125 \nL 84.140987 131.909898 \nL 84.989237 130.401244 \nL 86.06147 129.036822 \nL 87.340041 127.846798 \nL 88.801779 126.856364 \nL 90.418984 126.084557 \nL 92.160664 125.54351 \nL 93.993907 125.238156 \nL 95.885281 125.166415 \nL 97.80214 125.319843 \nL 99.713753 125.684593 \nL 101.592188 126.242611 \nL 103.412929 126.972929 \nL 105.155219 127.852908 \nL 106.802157 128.85938 \nL 108.340607 129.969598 \nL 109.760939 131.161974 \nL 111.056665 132.416597 \nL 112.224027 133.715559 \nL 113.261545 135.043088 \nL 114.949885 137.731463 \nL 116.13932 140.39661 \nL 116.859083 142.980603 \nL 117.141479 145.445874 \nL 117.016131 147.768613 \nL 116.506567 149.933052 \nL 115.628636 151.926812 \nL 114.390277 153.73702 \nL 112.792416 155.346982 \nL 110.830832 156.733117 \nL 108.4991 157.861941 \nL 105.792845 158.687094 \nL 104.299897 158.96708 \nL 102.715729 159.14652 \nL 101.043396 159.214864 \nL 99.28761 159.160408 \nL 97.455144 158.970353 \nL 95.555267 158.630956 \nL 93.600207 158.127756 \nL 91.605621 157.445946 \nL 89.591042 156.570905 \nL 87.580282 155.488907 \nL 85.601727 154.188039 \nL 83.688435 152.659342 \nL 81.878019 150.898159 \nL 80.212162 148.905645 \nL 78.735759 146.690359 \nL 77.495538 144.269807 \nL 76.538204 141.671737 \nL 75.908096 138.934977 \nL 75.644466 136.109536 \nL 75.778577 133.255771 \nL 76.330892 130.44243 \nL 77.308686 127.74356 \nL 78.704446 125.234403 \nL 80.495335 122.986638 \nL 82.643908 121.063544 \nL 85.100064 119.515565 \nL 87.804086 118.376991 \nL 90.690352 117.664156 \nL 93.691322 117.375328 \nL 96.741314 117.492247 \nL 99.779696 117.983003 \nL 102.753224 118.805668 \nL 105.617499 119.912257 \nL 108.337499 121.252433 \nL 110.88742 122.776682 \nL 113.249961 124.438679 \nL 115.415274 126.196878 \nL 117.379763 128.015372 \nL 119.144841 129.864125 \nL 120.715762 131.718789 \nL 122.100572 133.560223 \nL 123.309199 135.373862 \nL 125.242691 138.878257 \nL 126.608301 142.181451 \nL 127.493811 145.266239 \nL 127.975148 148.135004 \nL 128.112969 150.800462 \nL 127.951798 153.27978 \nL 127.520562 155.59098 \nL 126.833755 157.750741 \nL 125.892725 159.773001 \nL 124.686864 161.667872 \nL 123.194565 163.440556 \nL 121.384 165.089939 \nL 119.213886 166.606579 \nL 116.63453 167.969731 \nL 113.589675 169.143068 \nL 110.019932 170.068692 \nL 108.020271 170.4127 \nL 105.869054 170.659161 \nL 103.561521 170.790897 \nL 101.094838 170.787577 \nL 98.468874 170.625385 \nL 95.687147 170.276758 \nL 92.757983 169.710244 \nL 89.695875 168.890567 \nL 86.523031 167.779021 \nL 83.271083 166.334312 \nL 79.982839 164.514049 \nL 76.713941 162.277062 \nL 73.534156 159.586708 \nL 70.527994 156.415316 \nL 67.794157 152.749752 \nL 65.44337 148.597857 \nL 63.594071 143.995213 \nL 62.365672 139.011261 \nL 61.869405 133.753367 \nL 62.197294 128.367246 \nL 63.410541 123.03215 \nL 65.529157 117.94996 \nL 68.525059 113.328489 \nL 72.320562 109.360849 \nL 76.793327 106.204378 \nL 81.787384 103.963147 \nL 87.12835 102.677837 \nL 92.640009 102.324991 \nL 98.159232 102.825334 \nL 103.546982 104.058709 \nL 108.694365 105.881997 \nL 113.524007 108.146323 \nL 117.987802 110.710928 \nL 122.062524 113.45238 \nL 125.744566 116.269193 \nL 129.044781 119.082696 \nL 131.983975 121.835328 \nL 134.589247 124.48759 \nL 138.921922 129.402002 \nL 142.297155 133.740654 \nL 146.087157 139.197321 \nL 150.613491 145.906693 \nL 152.221023 147.895575 \nL 153.872593 149.535645 \nL 155.649636 150.841455 \nL 157.621225 151.814575 \nL 159.847272 152.443742 \nL 162.380215 152.705005 \nL 165.264831 152.562092 \nL 168.535745 151.967332 \nL 172.212048 150.863925 \nL 176.288287 149.190749 \nL 180.72124 146.891374 \nL 183.043391 145.49414 \nL 185.412317 143.929476 \nL 187.80364 142.19987 \nL 190.18695 140.312525 \nL 192.525313 138.280528 \nL 194.775022 136.124066 \nL 196.885708 133.871527 \nL 198.800939 131.56034 \nL 200.459455 129.23738 \nL 201.797174 126.958622 \nL 202.750044 124.787861 \nL 203.257697 122.794255 \nL 203.267803 121.048596 \nL 202.740756 119.618432 \nL 201.654224 118.562397 \nL 200.006909 117.924371 \nL 197.820868 117.728386 \nL 195.14177 117.97522 \nL 192.036811 118.641482 \nL 188.590381 119.681626 \nL 184.897943 121.032669 \nL 181.05905 122.620951 \nL 173.320148 126.20591 \nL 166.019784 129.900566 \nL 159.573681 133.359557 \nL 154.164915 136.445911 \nL 149.801949 139.169126 \nL 146.389316 141.607044 \nL 143.784551 143.848996 \nL 141.83512 145.967271 \nL 140.398738 148.009176 \nL 139.352535 149.999714 \nL 138.59559 151.947954 \nL 137.832588 154.788506 \nL 137.348048 157.513815 \nL 136.743894 162.544493 \nL 136.087392 167.650612 \nL 135.555511 170.226966 \nL 135.016525 172.021454 \nL 134.306644 173.717694 \nL 133.365141 175.335487 \nL 132.110921 176.895497 \nL 131.048524 177.913287 \nL 129.758036 178.919173 \nL 128.189061 179.916225 \nL 126.280332 180.904106 \nL 123.957802 181.876516 \nL 121.13283 182.817107 \nL 117.700963 183.693045 \nL 113.542258 184.445017 \nL 108.525005 184.972103 \nL 105.652395 185.103114 \nL 102.516171 185.109601 \nL 99.10323 184.955977 \nL 95.404344 184.598381 \nL 91.416247 183.983379 \nL 87.144382 183.046786 \nL 82.606402 181.712809 \nL 77.836533 179.893903 \nL 72.890732 177.491868 \nL 67.8525 174.400916 \nL 62.838852 170.513626 \nL 58.005501 165.73085 \nL 53.549816 159.976445 \nL 49.709408 153.217126 \nL 46.753787 145.486543 \nL 44.966574 136.910419 \nL 44.617039 127.726915 \nL 45.922348 118.293822 \nL 49.006041 109.073524 \nL 53.862461 100.589964 \nL 60.338959 93.35968 \nL 68.144999 87.809949 \nL 76.889723 84.205716 \nL 86.139304 82.607751 \nL 95.478204 82.875084 \nL 104.557979 84.708885 \nL 113.123719 87.720972 \nL 121.017414 91.504918 \nL 128.164693 95.69194 \nL 134.553708 99.983532 \nL 140.213611 104.161894 \nL 145.196775 108.084584 \nL 153.386738 114.886161 \nL 166.286171 125.793503 \nL 171.750676 130.079747 \nL 177.006956 134.006477 \nL 176.949319 134.313051 \nL 176.558095 134.728032 \nL 175.081883 136.082924 \nL 174.799295 136.642412 \nL 174.89159 136.955836 \nL 175.152452 137.079742 \nL 175.726337 137.070602 \nL 176.696772 136.7685 \nL 177.738696 136.191062 \nL 178.580044 135.468427 \nL 178.932243 134.916122 \nL 178.945886 134.588692 \nL 178.728044 134.380058 \nL 178.291623 134.316871 \nL 177.440116 134.47333 \nL 176.419489 134.878643 \nL 175.18062 135.6247 \nL 174.42603 136.293361 \nL 174.019005 136.914244 \nL 173.984727 137.291654 \nL 174.191975 137.555605 \nL 174.629423 137.679328 \nL 175.26834 137.644552 \nL 176.352707 137.340474 \nL 177.561579 136.762771 \nL 178.703454 135.982476 \nL 179.568065 135.122759 \nL 179.917752 134.521917 \nL 179.945906 134.037699 \nL 179.773057 133.810678 \nL 179.449559 133.67658 \nL 178.710016 133.666039 \nL 177.732616 133.884846 \nL 176.237954 134.487356 \nL 174.775812 135.337235 \nL 173.597342 136.290245 \nL 173.014213 136.985544 \nL 172.744491 137.602396 \nL 172.810291 138.092135 \nL 173.040737 138.327114 \nL 173.651731 138.51622 \nL 174.546667 138.485746 \nL 175.667522 138.220767 \nL 176.934514 137.723138 \nL 178.246017 137.016549 \nL 179.481119 136.150841 \nL 180.507121 135.203356 \nL 181.19354 134.274811 \nL 181.407469 133.721927 \nL 181.399677 133.260246 \nL 181.160076 132.918269 \nL 180.692202 132.717617 \nL 180.01386 132.670941 \nL 178.673115 132.892552 \nL 177.080052 133.432507 \nL 175.411183 134.221726 \nL 173.84117 135.171517 \nL 172.518921 136.190307 \nL 171.554588 137.194048 \nL 171.017233 138.109711 \nL 170.913525 138.639775 \nL 171.016599 139.085855 \nL 171.323369 139.43256 \nL 171.826226 139.665748 \nL 172.513235 139.772752 \nL 173.851881 139.673888 \nL 175.490279 139.243669 \nL 177.321982 138.480003 \nL 179.206125 137.41268 \nL 180.967177 136.11336 \nL 182.404058 134.701105 \nL 183.080279 133.775408 \nL 183.467309 132.925485 \nL 183.523861 132.206015 \nL 183.227008 131.666069 \nL 182.57669 131.343366 \nL 181.597818 131.259619 \nL 180.339171 131.418094 \nL 178.869037 131.804073 \nL 176.44579 132.742159 \nL 174.014083 133.988212 \nL 171.827651 135.397116 \nL 170.076682 136.840867 \nL 169.212643 137.771364 \nL 168.615516 138.647073 \nL 168.294702 139.446596 \nL 168.252059 140.150395 \nL 168.483918 140.73982 \nL 168.982516 141.196543 \nL 169.736741 141.502394 \nL 170.732174 141.639595 \nL 171.950443 141.591431 \nL 173.367978 141.343358 \nL 174.954276 140.884604 \nL 176.669848 140.2103 \nL 178.464148 139.324101 \nL 180.273885 138.241205 \nL 182.022342 136.991379 \nL 183.620379 135.621377 \nL 184.96995 134.195922 \nL 185.970693 132.79606 \nL 186.529701 131.514056 \nL 186.619517 130.947009 \nL 186.573631 130.444406 \nL 186.388 130.016435 \nL 186.061264 129.671857 \nL 185.594951 129.417636 \nL 184.993573 129.258644 \nL 183.418259 129.234305 \nL 181.426668 129.591358 \nL 179.14305 130.288443 \nL 176.708609 131.260057 \nL 174.264214 132.429605 \nL 171.935772 133.721786 \nL 169.824834 135.071198 \nL 168.004993 136.426105 \nL 166.523173 137.748052 \nL 165.40396 139.008969 \nL 164.655274 140.187413 \nL 164.27397 141.265128 \nL 164.25059 142.22443 \nL 164.572867 143.046558 \nL 165.227927 143.710791 \nL 166.203231 144.194194 \nL 167.486382 144.471802 \nL 169.063885 144.51724 \nL 170.918907 144.30383 \nL 173.02811 143.806378 \nL 175.35759 143.003887 \nL 177.85811 141.88348 \nL 180.460027 140.445693 \nL 183.068699 138.711083 \nL 185.56166 136.727479 \nL 187.789465 134.576482 \nL 189.582399 132.376668 \nL 190.260616 131.304991 \nL 190.76503 130.280254 \nL 191.07657 129.324612 \nL 191.179031 128.460093 \nL 191.060016 127.707634 \nL 190.711823 127.086057 \nL 190.132184 126.611032 \nL 189.324751 126.294154 \nL 188.299313 126.142246 \nL 187.071643 126.156909 \nL 185.66299 126.334474 \nL 184.099258 126.666302 \nL 180.626555 127.737639 \nL 176.907995 129.233912 \nL 173.192561 131.000753 \nL 169.690727 132.898385 \nL 166.556519 134.820649 \nL 163.884898 136.699107 \nL 161.719966 138.496506 \nL 160.068237 140.195843 \nL 158.912444 141.789884 \nL 158.223289 143.273497 \nL 157.968205 144.63909 \nL 158.117192 145.874508 \nL 158.646197 146.962361 \nL 159.538605 147.88006 \nL 160.785336 148.600007 \nL 162.383823 149.089766 \nL 164.336018 149.312164 \nL 166.645379 149.225526 \nL 169.312616 148.78445 \nL 172.329894 147.941602 \nL 175.673116 146.651372 \nL 179.292094 144.876298 \nL 183.09878 142.597328 \nL 186.954724 139.828598 \nL 188.841384 138.278638 \nL 190.660413 136.636212 \nL 192.376675 134.920997 \nL 193.951443 133.158171 \nL 195.34316 131.378567 \nL 196.508619 129.618442 \nL 197.404571 127.918772 \nL 197.989748 126.323984 \nL 198.227245 124.880056 \nL 198.087107 123.632054 \nL 197.548907 122.621239 \nL 196.604043 121.88195 \nL 195.257439 121.438714 \nL 193.528357 121.303889 \nL 191.450125 121.476281 \nL 189.068665 121.941064 \nL 186.439959 122.67106 \nL 183.626688 123.629211 \nL 177.707976 126.053325 \nL 171.807846 128.854776 \nL 166.320169 131.732548 \nL 161.496511 134.495529 \nL 157.452512 137.060723 \nL 154.200654 139.420298 \nL 151.688902 141.603482 \nL 149.833347 143.648165 \nL 148.541164 145.585425 \nL 147.724705 147.434013 \nL 147.308983 149.200554 \nL 147.234818 150.882069 \nL 147.459422 152.468817 \nL 147.955641 153.946517 \nL 148.710635 155.297657 \nL 149.72447 156.501872 \nL 151.00882 157.535578 \nL 152.585871 158.370972 \nL 154.487311 158.974507 \nL 156.753233 159.304947 \nL 159.430581 159.311119 \nL 162.570587 158.929554 \nL 166.224376 158.082449 \nL 170.435541 156.676821 \nL 172.758853 155.731729 \nL 175.228046 154.606428 \nL 177.839977 153.286763 \nL 180.587474 151.759164 \nL 183.458254 150.01148 \nL 186.433694 148.034102 \nL 189.487489 145.821423 \nL 192.584244 143.373633 \nL 195.678111 140.698886 \nL 198.711617 137.815743 \nL 201.614914 134.755784 \nL 204.305727 131.566105 \nL 206.690365 128.311312 \nL 208.666172 125.074468 \nL 210.125757 121.956293 \nL 210.963236 119.071937 \nL 211.082418 116.544712 \nL 210.406436 114.496645 \nL 208.887827 113.036276 \nL 206.517487 112.245208 \nL 203.330641 112.165622 \nL 199.408071 112.791632 \nL 194.871525 114.067074 \nL 189.87351 115.890996 \nL 184.582983 118.130415 \nL 179.169572 120.6376 \nL 168.573518 125.896617 \nL 139.288782 140.934045 \nL 135.322452 143.234105 \nL 132.247872 145.304465 \nL 129.823122 147.259806 \nL 127.840807 149.162149 \nL 125.331041 151.963418 \nL 122.187588 155.574484 \nL 120.487177 157.28729 \nL 118.600443 158.906271 \nL 116.463555 160.402038 \nL 114.018811 161.738533 \nL 111.214049 162.869548 \nL 108.004262 163.734167 \nL 106.236409 164.04221 \nL 104.356093 164.251397 \nL 102.362327 164.347537 \nL 100.256149 164.31452 \nL 98.041165 164.134239 \nL 95.72419 163.786581 \nL 93.315978 163.24956 \nL 90.832037 162.499603 \nL 88.293482 161.512097 \nL 85.727913 160.262233 \nL 83.170196 158.726224 \nL 80.663084 156.882971 \nL 78.257498 154.716214 \nL 76.012329 152.21714 \nL 73.99352 149.387409 \nL 72.272278 146.242325 \nL 70.922245 142.813904 \nL 70.015575 139.153296 \nL 69.618039 135.33201 \nL 69.783492 131.441313 \nL 70.548249 127.589274 \nL 71.92615 123.895235 \nL 73.905171 120.481908 \nL 76.446293 117.465822 \nL 79.485122 114.947429 \nL 82.936223 113.002304 \nL 86.699607 111.675015 \nL 90.668465 110.976576 \nL 94.736936 110.88586 \nL 98.806904 111.354415 \nL 102.793056 112.31368 \nL 106.625866 113.683131 \nL 110.252613 115.37812 \nL 113.636807 117.316402 \nL 116.756507 119.422859 \nL 119.602053 121.632351 \nL 122.173599 123.890908 \nL 124.478754 126.155665 \nL 126.530473 128.393971 \nL 128.345286 130.582019 \nL 129.941873 132.703356 \nL 132.559431 136.708052 \nL 134.539804 140.371082 \nL 136.027473 143.696462 \nL 137.147133 146.707957 \nL 138.356354 150.705122 \nL 139.95174 157.194525 \nL 140.900765 160.649366 \nL 141.726395 162.861763 \nL 142.377751 164.168326 \nL 143.139331 165.341683 \nL 144.038954 166.378796 \nL 145.108245 167.272352 \nL 146.383979 168.010022 \nL 147.909416 168.573323 \nL 149.735594 168.936002 \nL 151.922501 169.061793 \nL 154.539904 168.901462 \nL 157.667418 168.38904 \nL 161.393075 167.437307 \nL 165.809074 165.932918 \nL 171.002634 163.732325 \nL 173.912868 162.317526 \nL 177.038669 160.661095 \nL 180.379744 158.737667 \nL 183.929676 156.521791 \nL 187.673897 153.989355 \nL 191.587256 151.119626 \nL 195.631235 147.898056 \nL 199.750887 144.320014 \nL 203.871688 140.395465 \nL 207.896681 136.154567 \nL 211.70442 131.653858 \nL 215.148513 126.982387 \nL 218.059748 122.266686 \nL 220.251988 117.672793 \nL 221.532861 113.403248 \nL 221.719877 109.686686 \nL 220.661531 106.758303 \nL 218.261238 104.831452 \nL 214.500027 104.06337 \nL 209.452147 104.521993 \nL 203.287722 106.163339 \nL 196.258873 108.82853 \nL 188.67034 112.264712 \nL 180.840929 116.166127 \nL 152.143905 131.0252 \nL 146.336618 133.767813 \nL 141.157713 136.047103 \nL 136.580131 137.906483 \nL 129.038775 140.615315 \nL 123.276257 142.397287 \nL 111.445731 145.873133 \nL 105.475691 147.811455 \nL 103.653071 148.226703 \nL 101.818944 148.467039 \nL 99.956525 148.494211 \nL 98.071768 148.272366 \nL 96.191757 147.77076 \nL 94.363289 146.967224 \nL 92.650921 145.852541 \nL 91.133622 144.43565 \nL 89.899212 142.748956 \nL 89.415997 141.82203 \nL 89.036189 140.852413 \nL 88.769198 139.852113 \nL 88.623066 138.834767 \nL 88.604087 137.815405 \nL 88.716467 136.810114 \nL 88.962038 135.835618 \nL 89.340056 134.908792 \nL 89.847096 134.046113 \nL 90.477044 133.26311 \nL 91.221227 132.573825 \nL 92.068636 131.990318 \nL 93.006258 131.522277 \nL 94.019484 131.176731 \nL 95.092574 130.957892 \nL 96.209142 130.867143 \nL 97.352647 130.903146 \nL 98.506834 131.062066 \nL 100.786039 131.722841 \nL 102.935945 132.782348 \nL 104.868205 134.157768 \nL 106.518974 135.762275 \nL 107.847248 137.513676 \nL 108.830953 139.339426 \nL 109.462174 141.178459 \nL 109.742514 142.980737 \nL 109.679211 144.705397 \nL 109.282288 146.318268 \nL 108.562859 147.789229 \nL 107.532519 149.089647 \nL 106.203803 150.190134 \nL 104.59163 151.058648 \nL 102.715723 151.659147 \nL 100.603937 151.950991 \nL 98.296379 151.889442 \nL 95.850071 151.42782 \nL 93.343542 150.521883 \nL 92.099037 149.890866 \nL 90.880387 149.137115 \nL 89.704624 148.259552 \nL 88.590229 147.259159 \nL 87.556878 146.139429 \nL 86.625084 144.90681 \nL 85.815679 143.571075 \nL 85.14921 142.145626 \nL 84.645192 140.647664 \nL 84.321297 139.098152 \nL 84.192489 137.521576 \nL 84.270171 135.945438 \nL 84.56142 134.399489 \nL 85.068353 132.914714 \nL 85.787723 131.522122 \nL 86.710785 130.251425 \nL 87.823448 129.12969 \nL 89.10675 128.18009 \nL 90.537591 127.420879 \nL 92.089702 126.864664 \nL 93.734749 126.518035 \nL 95.443476 126.38159 \nL 97.186835 126.450322 \nL 98.936971 126.714305 \nL 100.668052 127.159594 \nL 102.35689 127.769228 \nL 103.983332 128.524289 \nL 105.530467 129.404873 \nL 106.984625 130.390951 \nL 108.335246 131.463074 \nL 109.574639 132.602909 \nL 110.697664 133.793591 \nL 112.584654 136.268614 \nL 113.992426 138.788006 \nL 114.935432 141.278127 \nL 115.437151 143.687309 \nL 115.523214 145.980203 \nL 115.216814 148.132275 \nL 114.536087 150.124933 \nL 113.493069 151.941409 \nL 112.093928 153.56321 \nL 110.340326 154.966988 \nL 108.23186 156.121646 \nL 105.769748 156.985646 \nL 102.961975 157.504625 \nL 101.434484 157.613809 \nL 99.830255 157.60978 \nL 98.155619 157.481682 \nL 96.418991 157.217927 \nL 94.631246 156.806381 \nL 92.806101 156.234675 \nL 90.960472 155.490634 \nL 89.114792 154.562846 \nL 87.293244 153.441384 \nL 85.52386 152.118702 \nL 83.838428 150.590685 \nL 82.272155 148.85783 \nL 80.863012 146.926481 \nL 79.650724 144.81006 \nL 78.675378 142.530123 \nL 77.975634 140.117108 \nL 77.586659 137.610581 \nL 77.537838 135.058802 \nL 77.850492 132.517485 \nL 78.535847 130.047691 \nL 79.593459 127.712911 \nL 81.010395 125.575518 \nL 82.761304 123.692988 \nL 84.80945 122.114189 \nL 87.108663 120.876302 \nL 89.605968 120.002694 \nL 92.244647 119.502032 \nL 94.967356 119.368654 \nL 97.718987 119.584128 \nL 100.449035 120.119701 \nL 103.113306 120.939203 \nL 105.674911 122.002096 \nL 108.104636 123.266286 \nL 110.38076 124.690512 \nL 112.488485 126.236128 \nL 114.419103 127.868298 \nL 116.169051 129.556664 \nL 117.738929 131.275549 \nL 119.132567 133.003838 \nL 120.356171 134.724639 \nL 121.417581 136.424815 \nL 123.089704 139.726372 \nL 124.223243 142.858914 \nL 124.889302 145.801805 \nL 125.148922 148.551991 \nL 125.049728 151.115974 \nL 124.62482 153.504393 \nL 123.892952 155.728401 \nL 122.859367 157.797152 \nL 121.516904 159.715808 \nL 119.847228 161.483683 \nL 117.822186 163.092061 \nL 115.405511 164.521463 \nL 112.555283 165.737936 \nL 109.227811 166.688148 \nL 107.372455 167.039941 \nL 105.383951 167.293187 \nL 103.259773 167.432824 \nL 100.999238 167.44127 \nL 98.604153 167.298225 \nL 96.079604 166.980557 \nL 93.434875 166.462291 \nL 90.684503 165.714795 \nL 87.849448 164.707233 \nL 84.958332 163.407373 \nL 82.048675 161.782888 \nL 79.167979 159.803257 \nL 76.374522 157.442339 \nL 73.737556 154.681736 \nL 71.336668 151.514817 \nL 69.259976 147.951265 \nL 67.60084 144.02172 \nL 66.452956 139.781878 \nL 65.903856 135.315137 \nL 66.027183 130.732801 \nL 66.874564 126.1709 \nL 68.468176 121.783056 \nL 70.795418 117.729495 \nL 73.806929 114.163276 \nL 77.418757 111.215661 \nL 81.518692 108.983157 \nL 85.975904 107.518594 \nL 90.652261 106.827949 \nL 95.413462 106.873292 \nL 100.138328 107.580872 \nL 104.72516 108.852437 \nL 109.094873 110.577399 \nL 113.191279 112.643915 \nL 116.979247 114.947438 \nL 120.441598 117.39628 \nL 123.575537 119.91435 \nL 126.389122 122.441592 \nL 128.898121 124.932862 \nL 131.123399 127.355956 \nL 133.088854 129.689294 \nL 136.342018 134.039949 \nL 138.859522 137.944059 \nL 140.827998 141.414039 \nL 143.738918 147.197186 \nL 146.066319 151.692785 \nL 147.229855 153.531349 \nL 148.482272 155.119829 \nL 149.880593 156.464052 \nL 151.478348 157.560488 \nL 153.328308 158.395692 \nL 155.484399 158.945394 \nL 158.002642 159.173226 \nL 160.940817 159.029113 \nL 164.356263 158.447653 \nL 168.300968 157.347066 \nL 172.812566 155.629911 \nL 175.285301 154.506401 \nL 177.899554 153.187728 \nL 180.648128 151.660553 \nL 183.51867 149.912968 \nL 186.492456 147.935624 \nL 189.543044 145.723192 \nL 192.634887 143.276169 \nL 195.72198 140.603044 \nL 198.746711 137.722744 \nL 201.639128 134.667215 \nL 204.316924 131.483915 \nL 206.686492 128.237751 \nL 208.645397 125.01199 \nL 210.086651 121.907399 \nL 210.904982 119.038954 \nL 211.005015 116.529516 \nL 210.310878 114.500362 \nL 208.776208 113.059017 \nL 206.392999 112.285872 \nL 203.197428 112.221848 \nL 199.270943 112.859973 \nL 194.735569 114.143295 \nL 189.743636 115.970599 \nL 184.463521 118.209131 \nL 179.063963 120.711863 \nL 168.501731 125.955362 \nL 139.332768 140.949243 \nL 135.382973 143.248993 \nL 132.321346 145.321028 \nL 129.907016 147.279051 \nL 127.933478 149.184518 \nL 125.435323 151.990803 \nL 122.307029 155.609307 \nL 120.614769 157.326571 \nL 118.736775 158.950892 \nL 116.609218 160.453266 \nL 114.174253 161.798113 \nL 111.37937 162.9398 \nL 108.178945 163.818079 \nL 106.41529 164.134297 \nL 104.538639 164.352679 \nL 102.547801 164.459123 \nL 100.443577 164.437597 \nL 98.229292 164.270049 \nL 95.911433 163.936391 \nL 93.500388 163.414605 \nL 91.011252 162.681038 \nL 88.464701 161.710904 \nL 85.88787 160.479099 \nL 83.315174 158.961408 \nL 80.788948 157.136143 \nL 78.359783 154.986263 \nL 76.086374 152.501995 \nL 74.03468 149.683843 \nL 72.276195 146.545832 \nL 70.885187 143.118627 \nL 69.934811 139.452083 \nL 69.492231 135.616633 \nL 69.613044 131.702842 \nL 70.335562 127.818655 \nL 71.675709 124.08398 \nL 73.623429 120.622856 \nL 76.141346 117.553854 \nL 79.16619 114.97998 \nL 82.612992 112.979648 \nL 86.381555 111.600179 \nL 90.36423 110.854973 \nL 94.453848 110.724651 \nL 98.550692 111.16176 \nL 102.567759 112.097986 \nL 106.433903 113.452401 \nL 110.094988 115.13947 \nL 113.513359 117.07578 \nL 116.666197 119.184942 \nL 119.543229 121.400579 \nL 122.144226 123.667616 \nL 124.476599 125.942265 \nL 126.553254 128.191125 \nL 128.390778 130.389841 \nL 130.007979 132.521551 \nL 132.661221 136.545122 \nL 134.671342 140.223719 \nL 136.184644 143.561109 \nL 137.327556 146.581202 \nL 138.570602 150.585467 \nL 141.553713 161.274148 \nL 142.51682 163.35975 \nL 143.288625 164.577043 \nL 144.19722 165.653723 \nL 145.274648 166.583005 \nL 146.557839 167.352956 \nL 148.089976 167.945403 \nL 149.921791 168.334346 \nL 152.112715 168.483775 \nL 154.73166 168.344774 \nL 157.857011 167.85186 \nL 161.575095 166.918595 \nL 165.975817 165.432938 \nL 171.143416 163.25347 \nL 174.035538 161.851113 \nL 177.139129 160.209099 \nL 180.453359 158.30274 \nL 183.971289 156.107399 \nL 187.677863 153.599901 \nL 191.547553 150.760552 \nL 195.541645 147.57593 \nL 199.605275 144.042517 \nL 203.664436 140.171275 \nL 207.623259 135.993051 \nL 211.362135 131.56453 \nL 214.737413 126.974061 \nL 217.583655 122.346261 \nL 219.719512 117.843762 \nL 220.958248 113.663997 \nL 221.123421 110.028869 \nL 220.069231 107.165812 \nL 217.703476 105.28038 \nL 214.009132 104.523534 \nL 209.059061 104.96016 \nL 203.018369 106.547718 \nL 196.131036 109.133605 \nL 188.691883 112.475079 \nL 181.009831 116.278197 \nL 152.760052 130.882087 \nL 147.021433 133.610142 \nL 141.897096 135.89124 \nL 137.362613 137.765276 \nL 129.882313 140.529335 \nL 121.820307 143.101617 \nL 114.886503 145.2779 \nL 110.190954 147.00048 \nL 106.310839 148.398179 \nL 104.424819 148.9063 \nL 102.505489 149.23439 \nL 100.533577 149.340486 \nL 98.513217 149.183803 \nL 96.4709 148.727331 \nL 94.454839 147.941371 \nL 92.533849 146.808375 \nL 90.794786 145.329098 \nL 90.024365 144.46653 \nL 89.337451 143.529419 \nL 88.747156 142.525936 \nL 88.266153 141.466456 \nL 87.90624 140.363556 \nL 87.677858 139.231911 \nL 87.589631 138.08808 \nL 87.647906 136.950173 \nL 87.856375 135.837377 \nL 88.215753 134.769407 \nL 88.723581 133.765846 \nL 89.37417 132.845454 \nL 90.158676 132.025483 \nL 91.065334 131.321023 \nL 92.079821 130.744464 \nL 93.185736 130.305069 \nL 94.365162 130.008736 \nL 95.599259 129.857921 \nL 96.86888 129.851736 \nL 98.155142 129.986209 \nL 99.43993 130.254668 \nL 100.706328 130.648208 \nL 101.938928 131.156207 \nL 104.249927 132.467648 \nL 106.285926 134.088821 \nL 107.988842 135.921101 \nL 109.325678 137.875884 \nL 110.282828 139.878534 \nL 110.860048 141.868847 \nL 111.065104 143.799313 \nL 110.909585 145.632252 \nL 110.406052 147.336615 \nL 109.566492 148.884831 \nL 108.401987 150.249911 \nL 106.923508 151.402911 \nL 105.143782 152.31081 \nL 103.08022 152.934888 \nL 100.758908 153.22989 \nL 98.219631 153.144369 \nL 95.521625 152.622892 \nL 94.138403 152.181387 \nL 92.749515 151.610918 \nL 91.370318 150.906206 \nL 90.018232 150.063314 \nL 88.712692 149.080152 \nL 87.474994 147.95702 \nL 86.328009 146.697187 \nL 85.295743 145.307459 \nL 84.402725 143.798698 \nL 83.673248 142.186239 \nL 83.130439 140.490117 \nL 82.795219 138.735089 \nL 82.685198 136.950304 \nL 82.813595 135.168688 \nL 83.188249 133.425926 \nL 83.810837 131.759147 \nL 84.67639 130.205319 \nL 85.773183 128.799527 \nL 87.083007 127.573243 \nL 88.581872 126.552741 \nL 90.241037 125.757855 \nL 92.028321 125.201168 \nL 93.909555 124.887691 \nL 95.850058 124.815102 \nL 97.816023 124.974412 \nL 99.775684 125.350998 \nL 101.700253 125.925882 \nL 103.564539 126.677085 \nL 105.347316 127.580974 \nL 107.031394 128.613431 \nL 108.603512 129.750863 \nL 110.054054 130.970953 \nL 111.376658 132.253208 \nL 112.567773 133.579255 \nL 113.62618 134.932999 \nL 115.348936 137.670401 \nL 116.565083 140.37958 \nL 117.30626 143.002889 \nL 117.606829 145.503628 \nL 117.498004 147.859152 \nL 117.00442 150.05501 \nL 116.142521 152.080202 \nL 114.920343 153.92328 \nL 113.338367 155.569019 \nL 111.391322 156.995328 \nL 109.071026 158.170222 \nL 106.370502 159.048743 \nL 104.877192 159.358508 \nL 103.289793 159.569916 \nL 101.610726 159.672442 \nL 99.843999 159.654328 \nL 97.995609 159.502623 \nL 96.073993 159.203283 \nL 94.0905 158.741384 \nL 92.059898 158.10145 \nL 90.000862 157.267939 \nL 87.936433 156.225919 \nL 85.894375 154.961957 \nL 83.907372 153.465254 \nL 82.013006 151.728999 \nL 80.253397 149.751928 \nL 78.674432 147.540015 \nL 77.324493 145.108153 \nL 76.252662 142.48168 \nL 75.506371 139.697448 \nL 75.12862 136.804237 \nL 75.154897 133.862197 \nL 75.610124 130.941131 \nL 76.505935 128.117538 \nL 77.838684 125.470488 \nL 79.588554 123.076679 \nL 81.719961 121.0052 \nL 84.183335 119.312597 \nL 86.9181 118.038984 \nL 89.856547 117.205678 \nL 92.928065 116.814687 \nL 96.063269 116.849996 \nL 99.197542 117.280409 \nL 102.273748 118.063348 \nL 105.243922 119.149088 \nL 108.069998 120.484821 \nL 110.723736 122.018143 \nL 113.186018 123.699787 \nL 115.445763 125.485403 \nL 117.49865 127.336587 \nL 119.345789 129.221195 \nL 120.992464 131.113179 \nL 122.447 132.992088 \nL 123.719789 134.84239 \nL 125.767312 138.415228 \nL 127.232467 141.778347 \nL 128.208699 144.914024 \nL 128.777371 147.825362 \nL 129.004155 150.526398 \nL 128.93815 153.035885 \nL 128.612503 155.373599 \nL 128.045684 157.558139 \nL 127.242913 159.605634 \nL 126.197419 161.528871 \nL 124.891436 163.336496 \nL 123.29689 165.032008 \nL 121.375927 166.612297 \nL 119.081449 168.06539 \nL 116.358039 169.367105 \nL 113.143856 170.476178 \nL 109.374427 171.32743 \nL 107.262279 171.627276 \nL 104.989758 171.822675 \nL 102.552117 171.894345 \nL 99.946877 171.819464 \nL 97.174741 171.57131 \nL 94.240685 171.11899 \nL 91.155307 170.427321 \nL 87.936385 169.456985 \nL 84.610651 168.165085 \nL 81.215726 166.506259 \nL 77.802049 164.434614 \nL 74.434628 161.906648 \nL 71.194283 158.88535 \nL 68.177905 155.345645 \nL 65.497258 151.281012 \nL 63.275693 146.710952 \nL 61.642273 141.688423 \nL 60.723086 136.305982 \nL 60.630003 130.698816 \nL 61.447846 125.042767 \nL 63.221808 119.545849 \nL 65.947441 114.432691 \nL 69.565789 109.923253 \nL 73.965439 106.208794 \nL 78.99191 103.429775 \nL 84.462972 101.66029 \nL 90.187003 100.902554 \nL 95.980822 101.092208 \nL 101.683912 102.112632 \nL 107.16727 103.814374 \nL 112.336617 106.035292 \nL 117.131004 108.617762 \nL 121.518408 111.420857 \nL 125.489945 114.327083 \nL 129.053957 117.244447 \nL 132.230723 120.105175 \nL 135.048148 122.862507 \nL 139.735803 127.960896 \nL 143.388224 132.436761 \nL 147.48722 138.010875 \nL 151.487928 143.608414 \nL 153.228504 145.746576 \nL 154.958984 147.49842 \nL 156.773028 148.887075 \nL 158.747436 149.921679 \nL 160.945908 150.597922 \nL 163.421225 150.898694 \nL 166.215511 150.795056 \nL 169.358205 150.247845 \nL 172.861272 149.210626 \nL 176.711196 147.63505 \nL 180.857418 145.480002 \nL 183.012124 144.177741 \nL 185.197559 142.726109 \nL 187.390124 141.129537 \nL 189.56101 139.396802 \nL 191.675924 137.541954 \nL 193.695027 135.585223 \nL 195.573222 133.553803 \nL 197.26084 131.482351 \nL 198.704889 129.413066 \nL 199.850882 127.395171 \nL 200.645332 125.483576 \nL 201.038805 123.736687 \nL 200.989443 122.213249 \nL 200.466632 120.968431 \nL 199.45444 120.049407 \nL 197.95438 119.490972 \nL 195.98696 119.311827 \nL 193.591692 119.512187 \nL 190.825325 120.073272 \nL 187.758435 120.958912 \nL 184.470702 122.119122 \nL 181.045539 123.495124 \nL 174.103777 126.6489 \nL 167.492461 129.975981 \nL 161.591026 133.17156 \nL 156.587801 136.094037 \nL 152.519382 138.725174 \nL 149.325502 141.111559 \nL 146.896991 143.317769 \nL 145.109308 145.400036 \nL 143.842567 147.396641 \nL 142.991742 149.328014 \nL 142.470601 151.200838 \nL 142.21205 153.012858 \nL 142.166651 154.756847 \nL 142.300421 156.423341 \nL 142.592554 158.002192 \nL 143.033409 159.483213 \nL 143.62292 160.856159 \nL 144.369494 162.110286 \nL 145.289352 163.233558 \nL 146.406308 164.211616 \nL 147.751874 165.026482 \nL 149.365639 165.654934 \nL 151.295763 166.066514 \nL 153.599403 166.221027 \nL 156.342748 166.06549 \nL 159.600107 165.530486 \nL 163.451184 164.526175 \nL 167.97509 162.938557 \nL 170.511256 161.883226 \nL 173.238893 160.627559 \nL 176.161213 159.150446 \nL 179.277501 157.430033 \nL 182.581708 155.444525 \nL 186.060766 153.173363 \nL 189.692576 150.598925 \nL 193.443727 147.708818 \nL 197.267006 144.498879 \nL 201.098846 140.976934 \nL 204.857003 137.167239 \nL 208.438841 133.115396 \nL 211.720852 128.893277 \nL 214.560105 124.603097 \nL 216.798532 120.379461 \nL 218.270828 116.387762 \nL 218.816512 112.817266 \nL 218.295995 109.867456 \nL 216.609346 107.727419 \nL 213.715082 106.549952 \nL 209.644947 106.424634 \nL 204.510233 107.356384 \nL 198.496171 109.256445 \nL 191.843696 111.95066 \nL 184.821684 115.204737 \nL 170.701197 122.374639 \nL 157.794862 129.03625 \nL 146.940705 134.308804 \nL 138.275133 138.119251 \nL 131.549428 140.802399 \nL 120.725246 145.008697 \nL 116.649616 146.914638 \nL 108.355744 151.177148 \nL 106.238306 151.922728 \nL 103.985708 152.45013 \nL 101.58203 152.705306 \nL 99.03509 152.631 \nL 96.3785 152.168683 \nL 95.027359 151.774313 \nL 93.674589 151.262561 \nL 92.332916 150.628023 \nL 91.017105 149.866529 \nL 89.743909 148.975562 \nL 88.531915 147.954723 \nL 87.401296 146.806219 \nL 86.373431 145.535367 \nL 85.470394 144.151039 \nL 84.714289 142.666058 \nL 84.12647 141.09743 \nL 83.726627 139.466416 \nL 83.531832 137.798324 \nL 83.555552 136.122059 \nL 83.806746 134.469333 \nL 84.289095 132.873606 \nL 85.00047 131.368759 \nL 85.932683 129.987625 \nL 87.071594 128.760452 \nL 88.397551 127.71345 \nL 89.886182 126.867576 \nL 91.509418 126.237603 \nL 93.236737 125.831666 \nL 95.036451 125.651206 \nL 96.876976 125.691358 \nL 98.727971 125.941685 \nL 100.561293 126.387195 \nL 102.351697 127.009486 \nL 104.077307 127.787934 \nL 105.71983 128.700808 \nL 107.264575 129.726258 \nL 108.700296 130.8431 \nL 110.018916 132.031435 \nL 111.215167 133.273046 \nL 112.286184 134.551636 \nL 114.050606 137.164568 \nL 115.321982 139.77898 \nL 116.124295 142.33083 \nL 116.486842 144.777218 \nL 116.438018 147.090035 \nL 116.00145 149.250292 \nL 115.194025 151.243336 \nL 114.025374 153.054852 \nL 112.498538 154.667485 \nL 110.611656 156.057708 \nL 108.36076 157.192892 \nL 105.743821 158.028439 \nL 104.299342 158.315986 \nL 102.766439 158.505172 \nL 101.148273 158.586013 \nL 99.449567 158.547473 \nL 97.67699 158.377509 \nL 95.839548 158.06323 \nL 93.949023 157.591111 \nL 92.020392 156.947341 \nL 90.072249 156.118309 \nL 88.127171 155.091275 \nL 86.211963 153.855211 \nL 84.357778 152.401837 \nL 82.59998 150.72686 \nL 80.977728 148.831345 \nL 79.533174 146.723165 \nL 78.310236 144.418397 \nL 77.352925 141.942531 \nL 76.703212 139.331242 \nL 76.39857 136.630543 \nL 76.469337 133.896098 \nL 76.936105 131.191541 \nL 77.807507 128.585763 \nL 79.078618 126.149297 \nL 80.73033 123.950059 \nL 82.729797 122.048906 \nL 85.032059 120.495513 \nL 87.58261 119.325173 \nL 90.320722 118.556837 \nL 93.183041 118.192717 \nL 96.107117 118.219362 \nL 99.034468 118.610005 \nL 101.912932 119.327754 \nL 104.698224 120.329121 \nL 107.354649 121.567489 \nL 109.855148 122.996157 \nL 112.180782 124.570717 \nL 114.319871 126.250714 \nL 116.266921 128.000648 \nL 118.0215 129.790371 \nL 119.587136 131.595049 \nL 120.970305 133.394818 \nL 122.179547 135.174263 \nL 124.116377 138.629097 \nL 125.48203 141.902154 \nL 126.358894 144.970322 \nL 126.81917 147.831262 \nL 126.920904 150.493994 \nL 126.706669 152.972759 \nL 126.203751 155.2831 \nL 125.425089 157.439373 \nL 124.370441 159.453037 \nL 123.027539 161.331259 \nL 121.373146 163.075458 \nL 119.374076 164.679461 \nL 116.988405 166.126944 \nL 114.167279 167.387812 \nL 110.857971 168.413191 \nL 109.003953 168.81555 \nL 107.009197 169.128726 \nL 104.868994 169.338073 \nL 102.580153 169.426242 \nL 100.141629 169.372886 \nL 97.555305 169.154419 \nL 94.826942 168.743846 \nL 91.967289 168.110751 \nL 88.993385 167.221515 \nL 85.929992 166.039875 \nL 82.811117 164.527957 \nL 79.681515 162.647937 \nL 76.598007 160.364495 \nL 73.630343 157.64816 \nL 70.861292 154.479635 \nL 68.385574 150.854982 \nL 66.307214 146.791392 \nL 64.734905 142.33289 \nL 63.775324 137.555036 \nL 63.524469 132.567374 \nL 64.05779 127.512271 \nL 65.420265 122.559009 \nL 67.618171 117.892708 \nL 70.6143 113.698668 \nL 74.328116 110.14426 \nL 78.641385 107.36123 \nL 83.408677 105.431974 \nL 88.470943 104.382487 \nL 93.669736 104.183303 \nL 98.859668 104.757775 \nL 103.917377 105.995434 \nL 108.746328 107.767376 \nL 113.277724 109.940775 \nL 117.4685 112.390382 \nL 121.297528 115.006209 \nL 124.761127 117.697339 \nL 127.868627 120.392647 \nL 130.638458 123.039443 \nL 133.094932 125.600901 \nL 137.180138 130.381933 \nL 140.356685 134.648172 \nL 142.848204 138.398526 \nL 146.538532 144.510198 \nL 148.764793 148.06092 \nL 150.205074 150.006396 \nL 151.711907 151.641658 \nL 153.357647 152.977106 \nL 155.20612 154.011438 \nL 157.315689 154.73141 \nL 159.741075 155.111391 \nL 162.533616 155.11289 \nL 165.739545 154.68426 \nL 169.395632 153.76121 \nL 173.521274 152.269168 \nL 175.758515 151.285011 \nL 178.105946 150.129221 \nL 180.554591 148.793208 \nL 183.090998 147.270097 \nL 185.696357 145.555655 \nL 188.3456 143.649419 \nL 191.006492 141.556058 \nL 193.638852 139.286899 \nL 196.193979 136.861567 \nL 198.614486 134.309593 \nL 200.834672 131.671831 \nL 202.781715 129.001356 \nL 204.37785 126.363541 \nL 205.543675 123.834916 \nL 206.202694 121.500428 \nL 206.286913 119.448902 \nL 205.743146 117.766698 \nL 204.539335 116.529995 \nL 202.670024 115.796569 \nL 200.159914 115.598349 \nL 197.064593 115.936271 \nL 193.46789 116.778682 \nL 189.475932 118.064102 \nL 185.208632 119.708098 \nL 180.789973 121.613023 \nL 171.960055 125.813123 \nL 160.031331 131.945609 \nL 150.708069 137.017444 \nL 145.995205 139.802624 \nL 142.324879 142.250161 \nL 139.507929 144.483791 \nL 137.354782 146.59569 \nL 135.694674 148.642572 \nL 134.382572 150.652682 \nL 132.812845 153.616143 \nL 129.584833 160.209433 \nL 128.508838 161.979624 \nL 127.27682 163.688817 \nL 125.842742 165.331678 \nL 124.15786 166.901274 \nL 122.168843 168.386989 \nL 119.816449 169.771653 \nL 117.034995 171.027533 \nL 113.753102 172.110758 \nL 109.896601 172.953654 \nL 107.730426 173.254861 \nL 105.395045 173.454511 \nL 102.884256 173.532458 \nL 100.194105 173.464705 \nL 97.323834 173.222962 \nL 94.277058 172.774267 \nL 91.063214 172.08076 \nL 87.699295 171.099721 \nL 84.211831 169.784037 \nL 80.639103 168.083278 \nL 77.033403 165.945656 \nL 73.463182 163.321097 \nL 70.014663 160.165746 \nL 66.792463 156.44798 \nL 63.918567 152.155995 \nL 61.528936 147.306463 \nL 59.767101 141.95344 \nL 58.774371 136.195916 \nL 58.676899 130.181919 \nL 59.570718 124.106755 \nL 61.506867 118.203449 \nL 64.479559 112.72465 \nL 68.420495 107.917418 \nL 73.201541 103.99479 \nL 78.646263 101.109749 \nL 84.548425 99.337456 \nL 90.693797 98.66987 \nL 96.880807 99.023466 \nL 102.936394 100.257463 \nL 108.725116 102.197467 \nL 114.151571 104.65912 \nL 119.157588 107.467442 \nL 123.716321 110.469749 \nL 127.825157 113.542059 \nL 131.498861 116.590131 \nL 134.763709 119.546953 \nL 137.652889 122.368375 \nL 142.452185 127.513489 \nL 146.194943 131.952133 \nL 151.584064 138.871828 \nL 154.637713 142.623254 \nL 156.507483 144.553221 \nL 158.38287 146.073528 \nL 160.35492 147.206839 \nL 162.4953 147.961187 \nL 164.859363 148.331428 \nL 167.487297 148.301082 \nL 170.403096 147.844796 \nL 173.611055 146.932072 \nL 177.089615 145.533 \nL 180.782662 143.626951 \nL 184.588955 141.215128 \nL 188.351478 138.337188 \nL 190.150098 136.751096 \nL 191.850329 135.090589 \nL 193.415185 133.379806 \nL 194.804876 131.648254 \nL 195.977897 129.930613 \nL 196.892529 128.266135 \nL 197.508743 126.697472 \nL 197.790434 125.26895 \nL 197.707869 124.024291 \nL 197.240154 123.003902 \nL 196.377462 122.241976 \nL 195.122731 121.763665 \nL 193.492567 121.582787 \nL 191.517134 121.700403 \nL 189.238925 122.104514 \nL 186.710515 122.771062 \nL 183.991472 123.666121 \nL 181.144817 124.749004 \nL 175.316757 127.302806 \nL 169.67351 130.101618 \nL 164.543814 132.895097 \nL 160.118339 135.541397 \nL 156.46786 137.991096 \nL 153.578308 140.251997 \nL 151.386191 142.355784 \nL 149.806451 144.33582 \nL 148.751179 146.216363 \nL 148.140648 148.00967 \nL 147.908863 149.71717 \nL 148.00563 151.332034 \nL 148.396614 152.841622 \nL 149.062411 154.229197 \nL 149.997231 155.474737 \nL 151.207558 156.554903 \nL 152.710917 157.442333 \nL 154.534718 158.104335 \nL 156.715032 158.501136 \nL 159.294972 158.583811 \nL 162.322187 158.292091 \nL 165.844707 157.552446 \nL 169.90407 156.277229 \nL 174.524218 154.366286 \nL 177.043204 153.139141 \nL 179.6944 151.713445 \nL 182.466956 150.07744 \nL 185.34426 148.221567 \nL 188.302713 146.139763 \nL 191.310413 143.831061 \nL 194.325892 141.301525 \nL 197.296972 138.566484 \nL 200.159977 135.652896 \nL 202.839536 132.601707 \nL 205.249268 129.469818 \nL 207.293709 126.331228 \nL 208.871812 123.276756 \nL 209.882249 120.411686 \nL 210.230498 117.850779 \nL 209.837466 115.710406 \nL 208.648771 114.097988 \nL 206.643481 113.099844 \nL 203.840654 112.769221 \nL 200.302014 113.117003 \nL 196.129594 114.107489 \nL 191.458049 115.66094 \nL 186.442637 117.663008 \nL 181.244935 119.979305 \nL 170.89928 125.015409 \nL 149.716757 135.871525 \nL 141.313293 140.319521 \nL 137.229159 142.712852 \nL 134.071607 144.855555 \nL 131.603374 146.867922 \nL 129.617394 148.81896 \nL 127.173359 151.690917 \nL 123.483078 156.318198 \nL 121.868928 158.07077 \nL 120.066691 159.736609 \nL 118.014002 161.290627 \nL 115.652494 162.701798 \nL 112.92689 163.929685 \nL 109.786051 164.919752 \nL 108.045905 165.303317 \nL 106.186654 165.597648 \nL 104.205294 165.789277 \nL 102.10048 165.862672 \nL 99.873042 165.800073 \nL 97.526609 165.581362 \nL 95.068359 165.184048 \nL 92.509868 164.583376 \nL 89.868068 163.752661 \nL 87.16627 162.663878 \nL 84.435202 161.288643 \nL 81.713958 159.599639 \nL 79.050748 157.572584 \nL 76.503244 155.188806 \nL 74.138329 152.438395 \nL 72.030977 149.323829 \nL 70.262041 145.863844 \nL 68.914742 142.097065 \nL 68.069842 138.08482 \nL 67.799642 133.912377 \nL 68.161294 129.687803 \nL 69.190147 125.537796 \nL 70.894193 121.600363 \nL 73.250629 118.014659 \nL 76.205436 114.909134 \nL 79.676404 112.389776 \nL 83.559348 110.530326 \nL 87.736632 109.366317 \nL 92.086652 108.89384 \nL 96.492811 109.073125 \nL 100.850798 109.835884 \nL 105.073416 111.094856 \nL 109.092862 112.753709 \nL 112.860784 114.715863 \nL 116.346674 116.891227 \nL 119.535335 119.200599 \nL 122.423919 121.577807 \nL 125.019019 123.970066 \nL 127.334047 126.337135 \nL 129.387013 128.649743 \nL 131.198739 130.887739 \nL 134.187902 135.093928 \nL 136.480153 138.911168 \nL 138.241749 142.344327 \nL 140.19907 146.836799 \nL 143.787384 155.759495 \nL 144.685786 157.433772 \nL 145.683731 158.913369 \nL 146.823264 160.200682 \nL 148.146681 161.291173 \nL 149.698695 162.172794 \nL 151.528194 162.824964 \nL 153.689534 163.217066 \nL 156.243191 163.306373 \nL 159.255426 163.035459 \nL 162.796296 162.329286 \nL 166.934971 161.092451 \nL 171.730676 159.207846 \nL 174.387001 157.980535 \nL 177.216892 156.538988 \nL 180.216318 154.864761 \nL 183.375755 152.940199 \nL 186.678634 150.749661 \nL 190.099573 148.281213 \nL 193.60243 145.528822 \nL 197.138282 142.495116 \nL 200.643484 139.194685 \nL 204.038097 135.657808 \nL 207.225079 131.934345 \nL 210.090698 128.09727 \nL 212.506817 124.245104 \nL 214.335655 120.502226 \nL 215.437544 117.015831 \nL 215.681819 113.948411 \nL 214.960433 111.465048 \nL 213.202897 109.715876 \nL 210.39022 108.81559 \nL 206.564782 108.823676 \nL 201.832995 109.730142 \nL 196.358781 111.451492 \nL 190.347932 113.839532 \nL 184.026082 116.702028 \nL 171.311119 123.028676 \nL 154.405706 131.646149 \nL 145.439326 135.970903 \nL 126.810225 144.579336 \nL 123.846466 146.252651 \nL 121.413026 147.842359 \nL 117.350722 150.883464 \nL 114.446134 152.999347 \nL 112.387522 154.273099 \nL 110.149568 155.387823 \nL 107.683088 156.293032 \nL 104.956594 156.929819 \nL 101.958286 157.22914 \nL 100.359977 157.227601 \nL 98.700657 157.110731 \nL 96.986857 156.86688 \nL 95.227636 156.483995 \nL 93.434901 155.949877 \nL 91.623711 155.252559 \nL 89.812542 154.380815 \nL 88.0235 153.324803 \nL 86.282404 152.076882 \nL 84.618709 150.632554 \nL 83.065204 148.991531 \nL 81.657439 147.158891 \nL 80.432829 145.1462 \nL 79.429397 142.972529 \nL 78.684185 140.665198 \nL 78.231339 138.260083 \nL 78.100023 135.801352 \nL 78.312282 133.34046 \nL 78.881073 130.934354 \nL 79.808684 128.642933 \nL 81.08579 126.525883 \nL 82.691304 124.639177 \nL 84.5931 123.031602 \nL 86.749606 121.741723 \nL 89.11209 120.795636 \nL 91.627413 120.205803 \nL 94.240936 119.971071 \nL 96.899277 120.077786 \nL 99.552684 120.501795 \nL 102.156831 121.211068 \nL 104.673981 122.168476 \nL 107.073531 123.334514 \nL 109.332028 124.669633 \nL 111.432758 126.136142 \nL 113.365066 127.699503 \nL 115.123504 129.329139 \nL 116.70693 130.998795 \nL 118.117607 132.686539 \nL 119.360377 134.374536 \nL 120.441919 136.048663 \nL 122.153514 139.314577 \nL 123.320982 142.4277 \nL 124.011931 145.361691 \nL 124.285483 148.109088 \nL 124.188401 150.673031 \nL 123.753562 153.061534 \nL 122.999878 155.283584 \nL 121.932975 157.346351 \nL 120.546268 159.252953 \nL 118.822249 161.000382 \nL 116.734028 162.57712 \nL 114.247337 163.960185 \nL 111.32346 165.111273 \nL 109.685332 165.582465 \nL 107.923785 165.971784 \nL 106.035184 166.267734 \nL 104.017017 166.456751 \nL 101.868359 166.522992 \nL 99.590445 166.448161 \nL 97.187365 166.211379 \nL 94.666868 165.789164 \nL 92.041299 165.15556 \nL 89.328635 164.282478 \nL 86.553598 163.140342 \nL 83.748782 161.699152 \nL 80.955687 159.930025 \nL 78.225519 157.807342 \nL 75.619576 155.311546 \nL 73.20893 152.432606 \nL 71.073183 149.17395 \nL 69.297987 145.556678 \nL 67.971158 141.623465 \nL 67.177334 137.441534 \nL 66.991395 133.103783 \nL 67.47117 128.727244 \nL 68.650334 124.448181 \nL 70.532629 120.413704 \nL 73.088567 116.770353 \nL 76.255557 113.651138 \nL 79.941809 111.162906 \nL 84.033632 109.376361 \nL 88.404992 108.320418 \nL 92.927831 107.982019 \nL 97.481477 108.310979 \nL 101.959952 109.228717 \nL 106.276518 110.638923 \nL 110.36544 112.438205 \nL 114.181471 114.525162 \nL 117.697731 116.80707 \nL 120.902736 119.203904 \nL 123.797167 121.650017 \nL 126.390786 124.094053 \nL 128.699742 126.497671 \nL 130.744341 128.833677 \nL 134.132364 133.2375 \nL 136.743744 137.235557 \nL 138.759563 140.822277 \nL 141.010616 145.489618 \nL 144.680591 153.679936 \nL 145.690184 155.455748 \nL 146.791329 157.011786 \nL 148.032935 158.352617 \nL 149.462384 159.474804 \nL 151.128019 160.366369 \nL 153.081062 161.005827 \nL 155.376856 161.360765 \nL 158.075233 161.385944 \nL 161.239553 161.021031 \nL 164.933709 160.188288 \nL 169.21589 158.791013 \nL 171.591504 157.845358 \nL 174.127411 156.714237 \nL 176.82312 155.381356 \nL 179.674254 153.830464 \nL 182.671396 152.046165 \nL 185.798741 150.01502 \nL 189.032552 147.727037 \nL 192.339507 145.177572 \nL 195.674965 142.369722 \nL 198.981353 139.317122 \nL 202.186874 136.047089 \nL 205.204854 132.603874 \nL 207.934146 129.051599 \nL 210.261095 125.47627 \nL 212.063502 121.986078 \nL 213.217067 118.708979 \nL 213.604401 115.786732 \nL 213.126288 113.364722 \nL 211.714162 111.577879 \nL 209.342057 110.533923 \nL 206.035595 110.296734 \nL 201.875556 110.873437 \nL 196.994202 112.208989 \nL 191.564032 114.190778 \nL 185.780624 116.663168 \nL 179.842859 119.449008 \nL 168.209978 125.282524 \nL 153.133238 132.94287 \nL 130.389896 144.273939 \nL 127.449205 146.136605 \nL 125.068327 147.911838 \nL 122.107153 150.498429 \nL 117.580314 154.583427 \nL 115.606034 156.069617 \nL 113.424307 157.419202 \nL 110.978349 158.588131 \nL 108.223639 159.523023 \nL 105.12953 160.157924 \nL 103.45046 160.337984 \nL 101.683756 160.410911 \nL 99.832046 160.363544 \nL 97.900286 160.181526 \nL 95.896203 159.849388 \nL 93.830791 159.350759 \nL 91.71882 158.668697 \nL 89.579357 157.786196 \nL 87.436251 156.686911 \nL 85.318507 155.356108 \nL 83.26051 153.781893 \nL 81.301983 151.956693 \nL 79.48759 149.878963 \nL 77.866073 147.555037 \nL 76.488868 145.000984 \nL 75.40808 142.244263 \nL 74.673898 139.324894 \nL 74.331509 136.295844 \nL 74.417709 133.222353 \nL 74.957571 130.179905 \nL 75.961512 127.250853 \nL 77.423247 124.519744 \nL 79.318982 122.067797 \nL 81.608083 119.967116 \nL 84.235271 118.27539 \nL 87.134104 117.031834 \nL 90.231349 116.254959 \nL 93.451661 115.942389 \nL 96.722 116.072723 \nL 99.975347 116.608937 \nL 103.153383 117.502804 \nL 106.20805 118.699542 \nL 109.102083 120.142206 \nL 111.80868 121.775323 \nL 114.310565 123.547571 \nL 116.598704 125.413493 \nL 118.670865 127.33433 \nL 120.530171 129.278155 \nL 122.183783 131.219532 \nL 123.641711 133.138854 \nL 124.915833 135.021566 \nL 126.964795 138.639183 \nL 128.436235 142.026482 \nL 129.429353 145.171951 \nL 130.029583 148.083482 \nL 130.305605 150.778705 \nL 130.308972 153.279093 \nL 130.075129 155.606579 \nL 129.624973 157.781659 \nL 128.96647 159.822424 \nL 128.096041 161.743955 \nL 126.999583 163.557922 \nL 125.653102 165.272008 \nL 124.023025 166.889035 \nL 122.066313 168.405501 \nL 119.730596 169.809267 \nL 116.954703 171.076013 \nL 113.670174 172.16401 \nL 109.804734 173.006701 \nL 107.632152 173.306045 \nL 105.289265 173.502618 \nL 102.770013 173.576172 \nL 100.070605 173.502573 \nL 97.190474 173.25334 \nL 94.133476 172.795287 \nL 90.909359 172.09029 \nL 87.535507 171.09535 \nL 84.038954 169.763073 \nL 80.458598 168.04279 \nL 76.847494 165.882549 \nL 73.274974 163.232271 \nL 69.828261 160.048301 \nL 66.613032 156.299549 \nL 63.752315 151.975134 \nL 61.382957 147.093149 \nL 59.649075 141.709565 \nL 58.69206 135.925724 \nL 58.637483 129.892273 \nL 59.579989 123.807091 \nL 61.568456 117.905311 \nL 64.594293 112.440775 \nL 68.586073 107.660456 \nL 73.412659 103.775854 \nL 78.895145 100.937105 \nL 84.825727 99.215634 \nL 90.989644 98.599382 \nL 97.18577 99.001177 \nL 103.242247 100.277447 \nL 109.025261 102.252096 \nL 114.441167 104.740142 \nL 119.433457 107.566885 \nL 123.976698 110.580512 \nL 128.069396 113.658224 \nL 131.727146 116.707032 \nL 134.976804 119.661103 \nL 137.851934 122.477294 \nL 142.627326 127.607544 \nL 146.352155 132.028787 \nL 155.714156 143.650341 \nL 157.577546 145.355843 \nL 159.49699 146.664854 \nL 161.552753 147.592234 \nL 163.807448 148.13896 \nL 166.308117 148.293773 \nL 169.08625 148.035347 \nL 172.15545 147.335374 \nL 175.506545 146.163308 \nL 179.100067 144.49358 \nL 182.856471 142.316299 \nL 186.645358 139.651976 \nL 188.494975 138.156365 \nL 190.276343 136.569818 \nL 191.955829 134.911732 \nL 193.496369 133.206671 \nL 194.858227 131.484507 \nL 196.000122 129.780191 \nL 196.880761 128.133086 \nL 197.460755 126.585759 \nL 197.704863 125.182214 \nL 197.584428 123.965574 \nL 197.079798 122.975388 \nL 196.182479 122.24474 \nL 194.896753 121.79752 \nL 193.240471 121.646238 \nL 191.244826 121.79067 \nL 188.953044 122.217746 \nL 186.418066 122.90263 \nL 183.699435 123.810991 \nL 177.961274 126.13239 \nL 172.215709 128.841818 \nL 166.8479 131.648209 \nL 162.109523 134.361488 \nL 158.121989 136.894045 \nL 154.90586 139.231601 \nL 152.417159 141.397627 \nL 150.578869 143.425924 \nL 149.30359 145.34506 \nL 148.507748 147.172398 \nL 148.119369 148.91375 \nL 148.08154 150.565515 \nL 148.353267 152.117245 \nL 148.908918 153.553694 \nL 149.737052 154.856014 \nL 150.839078 156.002071 \nL 152.227958 156.966008 \nL 153.927015 157.71718 \nL 155.968723 158.218586 \nL 158.393246 158.424926 \nL 161.246283 158.280454 \nL 164.575594 157.716944 \nL 168.425216 156.652382 \nL 172.826118 154.99153 \nL 175.235931 153.905083 \nL 177.781533 152.63036 \nL 180.455429 151.154853 \nL 183.245213 149.467524 \nL 186.132425 147.559871 \nL 189.091319 145.427293 \nL 192.087563 143.070777 \nL 195.077032 140.498886 \nL 198.004759 137.730002 \nL 200.804316 134.794688 \nL 203.397843 131.737913 \nL 205.697065 128.620802 \nL 207.605615 125.521393 \nL 209.022978 122.533822 \nL 209.85023 119.765312 \nL 209.997497 117.330461 \nL 209.392692 115.342703 \nL 207.990637 113.903379 \nL 205.781198 113.089644 \nL 202.794785 112.943236 \nL 199.103693 113.46253 \nL 194.818317 114.600122 \nL 190.078315 116.267239 \nL 185.039983 118.344549 \nL 179.862066 120.697327 \nL 169.658425 125.708722 \nL 149.063606 136.290272 \nL 140.965414 140.627841 \nL 137.036991 142.985388 \nL 133.999384 145.11304 \nL 131.620962 147.122576 \nL 129.700786 149.076697 \nL 127.322509 151.956331 \nL 123.688388 156.59368 \nL 122.086045 158.349283 \nL 120.291895 160.018428 \nL 118.244263 161.576755 \nL 115.884914 162.993996 \nL 113.158167 164.230408 \nL 110.011947 165.232079 \nL 108.267075 165.622739 \nL 106.401427 165.92506 \nL 104.41172 166.125559 \nL 102.296292 166.20865 \nL 100.055618 166.156456 \nL 97.692953 165.948674 \nL 95.21508 165.562531 \nL 92.633183 164.972876 \nL 89.963823 164.152482 \nL 87.230002 163.072624 \nL 84.46224 161.704035 \nL 81.699583 160.018313 \nL 78.990416 157.989915 \nL 76.392893 155.598747 \nL 73.974752 152.833375 \nL 71.812263 149.69479 \nL 69.98806 146.200388 \nL 68.587628 142.387848 \nL 67.694388 138.318174 \nL 67.383557 134.077142 \nL 67.715201 129.77436 \nL 68.727288 125.539183 \nL 70.429786 121.51329 \nL 72.800925 117.840229 \nL 75.786573 114.653157 \nL 79.303217 112.062447 \nL 83.24432 110.145406 \nL 87.489135 108.939807 \nL 91.912594 108.442479 \nL 96.394687 108.612917 \nL 100.82806 109.380882 \nL 105.123091 110.656369 \nL 109.210248 112.339944 \nL 113.040124 114.331976 \nL 116.58176 116.539673 \nL 119.819953 118.881635 \nL 122.752187 121.290032 \nL 125.385595 123.710968 \nL 127.734244 126.103524 \nL 129.816849 128.438102 \nL 131.654939 130.694481 \nL 134.68968 134.927153 \nL 137.021981 138.75867 \nL 138.822208 142.1959 \nL 140.842085 146.67891 \nL 144.217439 154.606266 \nL 145.170683 156.340721 \nL 146.218347 157.867418 \nL 147.406026 159.190062 \nL 148.778594 160.304888 \nL 150.382568 161.200096 \nL 152.267957 161.854885 \nL 154.489554 162.237994 \nL 157.10747 162.305718 \nL 160.186534 161.99948 \nL 163.793847 161.243202 \nL 167.993417 159.941104 \nL 172.836154 157.977291 \nL 175.507048 156.706326 \nL 178.342892 155.219625 \nL 181.337199 153.500167 \nL 184.477586 151.532244 \nL 187.744233 149.302813 \nL 191.108163 146.80328 \nL 194.529391 144.031795 \nL 197.955087 140.996015 \nL 201.31794 137.716351 \nL 204.534992 134.229485 \nL 207.507393 130.591818 \nL 210.121513 126.882326 \nL 212.252027 123.204016 \nL 213.767449 119.682976 \nL 214.538501 116.463943 \nL 214.449222 113.701523 \nL 213.410091 111.546753 \nL 211.371612 110.129839 \nL 208.335956 109.541408 \nL 204.363824 109.815914 \nL 199.574041 110.92164 \nL 194.134656 112.760893 \nL 188.246483 115.181744 \nL 182.122069 117.999268 \nL 169.949739 124.073017 \nL 153.944416 132.215764 \nL 141.943047 137.993992 \nL 131.476767 142.959442 \nL 127.935849 144.863805 \nL 125.130091 146.614947 \nL 122.81732 148.29465 \nL 118.922284 151.533186 \nL 116.099572 153.81122 \nL 114.078115 155.203506 \nL 111.861414 156.448571 \nL 109.395699 157.498899 \nL 106.642139 158.297877 \nL 103.578705 158.777216 \nL 101.929582 158.871894 \nL 100.204839 158.854613 \nL 98.409031 158.712722 \nL 96.54918 158.432739 \nL 94.635181 158.00051 \nL 92.680198 157.401514 \nL 90.701091 156.621303 \nL 88.718777 155.646088 \nL 86.75853 154.463531 \nL 84.85015 153.06375 \nL 83.027889 151.440496 \nL 81.330156 149.592521 \nL 79.798811 147.525069 \nL 78.47807 145.251329 \nL 77.412919 142.793777 \nL 76.647079 140.185164 \nL 76.220576 137.468905 \nL 76.167035 134.698698 \nL 76.510969 131.937136 \nL 77.265296 129.253262 \nL 78.429472 126.719093 \nL 79.988486 124.405412 \nL 81.912966 122.377173 \nL 84.160478 120.689078 \nL 86.677914 119.381917 \nL 89.404713 118.48013 \nL 92.276543 117.990895 \nL 95.228999 117.904808 \nL 98.200938 118.19798 \nL 101.137126 118.835131 \nL 103.990072 119.773193 \nL 106.720991 120.964949 \nL 109.300014 122.362345 \nL 111.705796 123.919112 \nL 113.924688 125.592711 \nL 115.949679 127.345502 \nL 117.779232 129.145319 \nL 119.416139 130.965506 \nL 120.866451 132.784631 \nL 122.138538 134.58598 \nL 123.242285 136.356932 \nL 124.988011 139.773807 \nL 126.190951 142.992655 \nL 126.93256 146.000072 \nL 127.28197 148.799657 \nL 127.293176 151.403803 \nL 127.004447 153.828461 \nL 126.438923 156.089864 \nL 125.605724 158.202433 \nL 124.501167 160.177332 \nL 123.109881 162.021189 \nL 121.405783 163.734684 \nL 119.353019 165.31068 \nL 116.907115 166.731546 \nL 114.016779 167.965348 \nL 110.627051 168.960552 \nL 108.728036 169.345511 \nL 106.684879 169.638943 \nL 104.49281 169.825448 \nL 102.148687 169.88679 \nL 99.651679 169.801587 \nL 97.004084 169.545054 \nL 94.212349 169.088846 \nL 91.288253 168.401057 \nL 88.250276 167.446489 \nL 85.12513 166.18728 \nL 81.949347 164.584064 \nL 78.770849 162.597819 \nL 75.650274 160.19255 \nL 72.661779 157.338971 \nL 69.892992 154.019182 \nL 67.443643 150.232251 \nL 65.422458 146.000319 \nL 63.941942 141.374506 \nL 63.110945 136.439531 \nL 63.025266 131.31569 \nL 63.757157 126.156745 \nL 65.345135 121.142628 \nL 67.785939 116.466661 \nL 71.030563 112.318344 \nL 74.985699 108.864044 \nL 79.520985 106.229028 \nL 84.481027 104.484485 \nL 89.700087 103.642096 \nL 95.016787 103.657145 \nL 100.286347 104.438908 \nL 105.388826 105.865638 \nL 110.232927 107.800832 \nL 114.755939 110.107779 \nL 118.920899 112.660594 \nL 122.712264 115.351004 \nL 126.131129 118.091287 \nL 129.190697 120.814212 \nL 131.912404 123.471076 \nL 134.322806 126.028756 \nL 138.327981 130.77301 \nL 141.446222 134.978568 \nL 143.903917 138.655797 \nL 149.889936 148.022228 \nL 151.399131 149.872588 \nL 152.995003 151.404909 \nL 154.749325 152.626754 \nL 156.725283 153.533489 \nL 158.980165 154.108117 \nL 161.566613 154.321004 \nL 164.532067 154.129704 \nL 167.9159 153.479321 \nL 171.743541 152.304155 \nL 176.016641 150.531961 \nL 178.310749 149.399675 \nL 180.698379 148.092871 \nL 183.165617 146.605823 \nL 185.693369 144.935499 \nL 188.256524 143.082643 \nL 190.823163 141.053048 \nL 193.353893 138.858969 \nL 195.801399 136.520601 \nL 198.110391 134.067507 \nL 200.218092 131.539819 \nL 202.05549 128.988921 \nL 203.549485 126.477337 \nL 204.626097 124.077471 \nL 205.214732 121.868909 \nL 205.253358 119.934079 \nL 204.694241 118.352425 \nL 203.50961 117.19335 \nL 201.696448 116.508903 \nL 199.279509 116.327274 \nL 196.311771 116.648356 \nL 192.871896 117.442556 \nL 189.058779 118.653396 \nL 184.983872 120.203691 \nL 180.762458 122.004246 \nL 172.31105 125.996097 \nL 164.423837 130.009832 \nL 154.529457 135.328583 \nL 149.391354 138.296127 \nL 145.33706 140.887506 \nL 142.20781 143.218947 \nL 139.824933 145.390612 \nL 138.017912 147.471466 \nL 136.637161 149.500745 \nL 135.557792 151.49566 \nL 134.288105 154.429085 \nL 131.367029 161.783509 \nL 130.000194 164.321703 \nL 128.903432 165.942021 \nL 127.61226 167.503974 \nL 126.082502 169.005522 \nL 124.263869 170.441702 \nL 122.098549 171.802263 \nL 119.520228 173.068294 \nL 116.453923 174.207363 \nL 112.817321 175.16654 \nL 108.524869 175.862597 \nL 106.107116 176.07447 \nL 103.496646 176.168731 \nL 100.687096 176.119958 \nL 97.675205 175.897782 \nL 94.462104 175.466323 \nL 91.054939 174.783762 \nL 87.468851 173.802163 \nL 83.72932 172.467726 \nL 79.874833 170.721719 \nL 75.95976 168.502388 \nL 72.057185 165.74822 \nL 68.261299 162.402914 \nL 64.688744 158.422396 \nL 61.478105 153.783918 \nL 58.786558 148.496922 \nL 56.78275 142.614628 \nL 55.63524 136.244444 \nL 55.496598 129.554404 \nL 56.484485 122.772337 \nL 58.662417 116.174782 \nL 62.024224 110.064421 \nL 66.486512 104.737681 \nL 71.892334 100.447761 \nL 78.02663 97.371014 \nL 84.640801 95.584827 \nL 91.480978 95.062469 \nL 98.313932 95.685621 \nL 104.945725 97.270073 \nL 111.231023 99.597393 \nL 117.073733 102.44485 \nL 122.421451 105.608455 \nL 127.256751 108.916821 \nL 131.587821 112.2365 \nL 135.440056 115.470998 \nL 138.849323 118.555923 \nL 144.506437 124.141464 \nL 148.901831 128.880728 \nL 158.576123 139.712711 \nL 160.606836 141.525155 \nL 162.584628 142.886829 \nL 164.603678 143.832978 \nL 166.732327 144.3836 \nL 169.01628 144.546608 \nL 171.479952 144.321424 \nL 174.125861 143.703263 \nL 176.932222 142.688519 \nL 179.849107 141.281612 \nL 182.793993 139.503509 \nL 185.648138 137.401505 \nL 188.256003 135.058991 \nL 190.430655 132.602528 \nL 191.291863 131.383188 \nL 191.968231 130.202062 \nL 192.435788 129.08534 \nL 192.673233 128.059733 \nL 192.663149 127.151325 \nL 192.393221 126.384285 \nL 191.857293 125.779509 \nL 191.0562 125.353323 \nL 189.998238 125.116406 \nL 188.699197 125.073036 \nL 187.181924 125.220808 \nL 185.475408 125.550833 \nL 183.61348 126.048485 \nL 179.573178 127.46657 \nL 175.365568 129.292697 \nL 171.269248 131.341945 \nL 167.502217 133.462925 \nL 164.208578 135.553507 \nL 161.46327 137.557921 \nL 159.287076 139.45361 \nL 157.664601 141.236145 \nL 156.560512 142.907206 \nL 155.932068 144.467041 \nL 155.737697 145.910836 \nL 155.9422 147.227584 \nL 156.519456 148.400175 \nL 157.453322 149.405865 \nL 158.737318 150.216626 \nL 160.37341 150.799172 \nL 162.37001 151.114774 \nL 164.739089 151.118976 \nL 167.492134 150.761669 \nL 170.634494 149.988023 \nL 174.157574 148.741133 \nL 178.028295 146.967553 \nL 182.175591 144.627146 \nL 186.474464 141.70871 \nL 188.622878 140.042444 \nL 190.729757 138.252006 \nL 192.757818 136.35476 \nL 194.664559 134.374623 \nL 196.402788 132.342641 \nL 197.921626 130.297236 \nL 199.168067 128.283909 \nL 200.089142 126.354256 \nL 200.634703 124.564156 \nL 200.760659 122.971063 \nL 200.432513 121.630489 \nL 199.628811 120.591883 \nL 198.344105 119.894318 \nL 196.590952 119.562603 \nL 194.400542 119.604416 \nL 191.821688 120.009046 \nL 188.918135 120.748092 \nL 185.76448 121.778179 \nL 182.441164 123.045266 \nL 175.605449 126.052703 \nL 168.986248 129.321398 \nL 162.996738 132.519984 \nL 157.861767 135.475926 \nL 153.647703 138.147463 \nL 150.314327 140.568299 \nL 147.763834 142.798629 \nL 145.876782 144.895181 \nL 144.534472 146.898658 \nL 143.630931 148.83206 \nL 143.07805 150.704016 \nL 142.806676 152.513376 \nL 142.76556 154.253262 \nL 142.919388 155.913945 \nL 143.246592 157.484559 \nL 143.73738 158.95385 \nL 144.392136 160.310206 \nL 145.220297 161.541182 \nL 146.239674 162.632672 \nL 147.476183 163.567763 \nL 148.963904 164.32528 \nL 150.745349 164.877982 \nL 152.871766 165.190329 \nL 155.403219 165.215762 \nL 158.407989 164.893434 \nL 161.960614 164.144546 \nL 166.137387 162.868697 \nL 171.007576 160.941346 \nL 173.718757 159.687916 \nL 176.617716 158.21466 \nL 179.70244 156.500832 \nL 182.965476 154.526025 \nL 186.392263 152.271397 \nL 189.959203 149.721378 \nL 193.631478 146.865966 \nL 197.3607 143.703677 \nL 201.082586 140.245175 \nL 204.714896 136.517497 \nL 208.156074 132.568636 \nL 211.285127 128.471966 \nL 213.963473 124.329687 \nL 216.03951 120.274166 \nL 217.356649 116.46563 \nL 217.765128 113.084801 \nL 217.137374 110.319265 \nL 215.385478 108.343696 \nL 212.478215 107.295746 \nL 208.453825 107.25172 \nL 203.424642 108.20806 \nL 197.570688 110.074717 \nL 191.12197 112.684237 \nL 184.332537 115.815876 \nL 170.700794 122.697937 \nL 158.233822 129.116634 \nL 147.724844 134.252366 \nL 139.311904 138.029059 \nL 127.728529 142.793445 \nL 122.204276 145.202875 \nL 119.425148 146.615304 \nL 116.012548 148.611422 \nL 111.996646 151.051248 \nL 109.9583 152.113817 \nL 107.799584 153.015046 \nL 105.475077 153.704401 \nL 102.961174 154.125503 \nL 100.256978 154.216198 \nL 97.387202 153.909438 \nL 95.906016 153.585369 \nL 94.406583 153.136165 \nL 92.901257 152.553902 \nL 91.404848 151.831541 \nL 89.934666 150.963385 \nL 88.510513 149.945627 \nL 87.154521 148.77695 \nL 85.890884 147.459179 \nL 84.745396 145.997964 \nL 83.744818 144.403418 \nL 82.916032 142.690648 \nL 82.285012 140.880124 \nL 81.875645 138.997781 \nL 81.708448 137.074769 \nL 81.799278 135.146836 \nL 82.158135 133.253246 \nL 82.788189 131.435308 \nL 83.685126 129.734556 \nL 84.83693 128.190724 \nL 86.224142 126.839702 \nL 87.820598 125.711625 \nL 89.594626 124.829351 \nL 91.510533 124.207449 \nL 93.530317 123.851782 \nL 95.615394 123.759745 \nL 97.728203 123.921068 \nL 99.833591 124.319045 \nL 101.899869 124.932018 \nL 103.899541 125.735041 \nL 105.809658 126.701398 \nL 107.611904 127.80402 \nL 109.292414 129.016623 \nL 110.841421 130.314559 \nL 112.252785 131.675393 \nL 113.523451 133.079233 \nL 114.65291 134.508849 \nL 115.642657 135.94962 \nL 117.216114 138.818238 \nL 118.278461 141.613047 \nL 118.870525 144.289158 \nL 119.031509 146.820528 \nL 118.794166 149.192881 \nL 118.182265 151.398064 \nL 117.209688 153.429616 \nL 115.880715 155.279207 \nL 114.19119 156.933489 \nL 112.130522 158.371108 \nL 109.684661 159.559555 \nL 106.840378 160.451793 \nL 105.26638 160.767286 \nL 103.591398 160.982717 \nL 101.817154 161.086599 \nL 99.947055 161.06599 \nL 97.98665 160.906503 \nL 95.944138 160.592384 \nL 93.830924 160.106707 \nL 91.662213 159.43171 \nL 89.457614 158.549309 \nL 87.241691 157.441832 \nL 85.044455 156.093013 \nL 82.901661 154.489285 \nL 80.854853 152.621363 \nL 78.951033 150.486097 \nL 77.241831 148.088511 \nL 75.782084 145.443883 \nL 74.627742 142.579649 \nL 73.833105 139.536823 \nL 73.447468 136.370586 \nL 73.511421 133.149699 \nL 74.053125 129.95447 \nL 75.085006 126.873119 \nL 76.601413 123.996722 \nL 78.577604 121.413082 \nL 80.970435 119.200304 \nL 83.720745 117.42085 \nL 86.757196 116.116977 \nL 90.001125 115.308207 \nL 93.371739 114.991194 \nL 96.790996 115.141809 \nL 100.187659 115.719033 \nL 103.500186 116.669897 \nL 106.678351 117.934705 \nL 109.683718 119.451873 \nL 112.489153 121.161869 \nL 115.077735 123.010098 \nL 117.441268 124.948631 \nL 119.578679 126.937015 \nL 121.494443 128.942298 \nL 123.197135 130.938544 \nL 124.69819 132.906064 \nL 126.010853 134.830494 \nL 128.128189 138.513731 \nL 129.663803 141.946329 \nL 130.724407 145.120991 \nL 131.401619 148.049375 \nL 131.769346 150.752228 \nL 131.8838 153.253556 \nL 131.78488 155.57737 \nL 131.498053 157.746036 \nL 131.036243 159.779493 \nL 130.401434 161.694971 \nL 129.585862 163.506892 \nL 128.572761 165.226783 \nL 127.336667 166.863001 \nL 125.843377 168.42014 \nL 124.049628 169.897913 \nL 121.902691 171.289291 \nL 119.34013 172.57751 \nL 116.290176 173.731566 \nL 112.673486 174.699557 \nL 110.62674 175.089582 \nL 108.407515 175.399215 \nL 106.006468 175.611321 \nL 103.415585 175.705067 \nL 100.628947 175.655363 \nL 97.643738 175.432271 \nL 94.461513 175.000491 \nL 91.089791 174.318972 \nL 87.54399 173.340761 \nL 83.849702 172.013302 \nL 80.045276 170.279381 \nL 76.184589 168.07905 \nL 72.339749 165.352832 \nL 68.603344 162.046611 \nL 65.089682 158.118438 \nL 61.934189 153.547339 \nL 59.290068 148.343777 \nL 57.321355 142.560719 \nL 56.191712 136.303539 \nL 56.049122 129.736075 \nL 57.00772 123.079658 \nL 59.129376 116.60245 \nL 62.408783 110.597791 \nL 66.766193 105.353277 \nL 72.050733 101.115409 \nL 78.055014 98.057313 \nL 84.53844 96.257283 \nL 91.254272 95.693375 \nL 97.974599 96.254753 \nL 104.508605 97.7659 \nL 110.711981 100.016683 \nL 116.488033 102.791228 \nL 121.78271 105.89035 \nL 126.57644 109.145441 \nL 130.875181 112.42412 \nL 134.702263 115.629693 \nL 138.091782 118.6968 \nL 143.720159 124.274459 \nL 148.094896 129.03335 \nL 158.737065 141.034926 \nL 160.716291 142.680309 \nL 162.697105 143.896243 \nL 164.762656 144.708718 \nL 166.972837 145.129711 \nL 169.366644 145.160171 \nL 171.962571 144.793608 \nL 174.756994 144.020557 \nL 177.720647 142.834445 \nL 180.793688 141.239267 \nL 183.880292 139.259243 \nL 186.844516 136.949927 \nL 189.51015 134.409055 \nL 190.666508 133.09577 \nL 191.668044 131.783672 \nL 192.486472 130.498587 \nL 193.094447 129.268468 \nL 193.466818 128.122492 \nL 193.581996 127.089878 \nL 193.423367 126.198481 \nL 192.980604 125.473255 \nL 192.250771 124.934697 \nL 191.239077 124.597464 \nL 189.959166 124.469286 \nL 188.432861 124.550398 \nL 186.689356 124.833522 \nL 184.763898 125.304466 \nL 180.52779 126.725884 \nL 176.05788 128.615912 \nL 171.666239 130.765544 \nL 167.600676 133.000554 \nL 164.026497 135.202943 \nL 161.030157 137.309441 \nL 158.63583 139.296619 \nL 156.825938 141.163024 \nL 155.559837 142.914763 \nL 154.788187 144.556528 \nL 154.46273 146.087317 \nL 154.542209 147.499225 \nL 154.995433 148.777721 \nL 155.802387 149.90236 \nL 156.95407 150.847322 \nL 158.451474 151.58156 \nL 160.303905 152.068512 \nL 162.526597 152.265567 \nL 165.137417 152.123581 \nL 168.152201 151.586838 \nL 171.578152 150.594226 \nL 175.404576 149.082634 \nL 179.590279 146.994037 \nL 184.047395 144.288073 \nL 186.332886 142.700504 \nL 188.622528 140.96185 \nL 190.883859 139.082129 \nL 193.078334 137.077475 \nL 195.161302 134.971134 \nL 197.082367 132.794325 \nL 198.786287 130.586741 \nL 200.21449 128.396515 \nL 201.307324 126.279428 \nL 202.007033 124.29717 \nL 202.261409 122.514512 \nL 202.027871 120.995429 \nL 201.277635 119.798334 \nL 199.999468 118.970938 \nL 198.202433 118.545337 \nL 195.917098 118.53417 \nL 193.194791 118.928596 \nL 190.104814 119.698649 \nL 186.729813 120.796101 \nL 183.159948 122.159448 \nL 179.486628 123.720235 \nL 172.167515 127.16395 \nL 165.337541 130.664362 \nL 159.348097 133.936585 \nL 154.345423 136.875128 \nL 150.325396 139.495236 \nL 147.195633 141.866049 \nL 144.82461 144.063744 \nL 143.073497 146.148668 \nL 141.813791 148.159333 \nL 140.935336 150.115058 \nL 140.348598 152.021539 \nL 139.983796 153.876293 \nL 139.74231 156.546942 \nL 139.768137 159.061097 \nL 139.998254 161.396516 \nL 140.409148 163.536309 \nL 141.006935 165.467092 \nL 141.822271 167.175452 \nL 142.512391 168.182305 \nL 143.344904 169.075107 \nL 144.347613 169.843637 \nL 145.554772 170.473829 \nL 147.008109 170.946396 \nL 148.757988 171.235014 \nL 150.864606 171.303942 \nL 153.399022 171.104898 \nL 156.443626 170.573056 \nL 160.091362 169.622102 \nL 164.442467 168.138601 \nL 169.596683 165.976548 \nL 172.502387 164.58568 \nL 175.63766 162.954379 \nL 179.00582 161.05506 \nL 182.60465 158.859237 \nL 186.424353 156.338746 \nL 190.44506 153.467604 \nL 194.633865 150.224678 \nL 198.941474 146.597329 \nL 203.298567 142.586202 \nL 207.612203 138.211152 \nL 211.762762 133.518199 \nL 215.602213 128.586917 \nL 218.954738 123.537291 \nL 221.62109 118.534258 \nL 223.388089 113.787578 \nL 224.044382 109.544084 \nL 223.402668 106.069718 \nL 221.32691 103.620087 \nL 217.760455 102.40173 \nL 212.74869 102.530611 \nL 206.448529 103.998853 \nL 199.118797 106.662029 \nL 191.090533 110.255173 \nL 182.723094 114.436316 \nL 151.734789 130.643934 \nL 145.457343 133.598365 \nL 139.868424 136.013643 \nL 134.938305 137.93873 \nL 130.616409 139.444623 \nL 126.842267 140.608479 \nL 120.686652 142.193611 \nL 114.082892 143.507526 \nL 103.590734 145.225066 \nL 101.298965 145.406354 \nL 99.199011 145.299971 \nL 97.880249 145.0358 \nL 96.634738 144.601523 \nL 95.484879 143.992753 \nL 94.46288 143.215049 \nL 93.606976 142.285482 \nL 92.957188 141.233602 \nL 92.550562 140.101427 \nL 92.416276 138.941985 \nL 92.571024 137.816203 \nL 93.015471 136.788166 \nL 93.73241 135.919301 \nL 94.687042 135.262295 \nL 95.82952 134.855888 \nL 97.099267 134.721463 \nL 98.430333 134.862006 \nL 99.756819 135.263419 \nL 101.017565 135.897685 \nL 102.159508 136.726983 \nL 103.139559 137.707983 \nL 103.925097 138.795535 \nL 104.493428 139.945426 \nL 104.830607 141.11611 \nL 104.930015 142.269457 \nL 104.791006 143.370809 \nL 104.417844 144.388523 \nL 103.819064 145.293308 \nL 103.007321 146.057498 \nL 101.999718 146.654489 \nL 100.818592 147.058487 \nL 99.492629 147.244706 \nL 98.058162 147.190232 \nL 96.560409 146.875615 \nL 95.054299 146.287356 \nL 93.604448 145.421258 \nL 92.283771 144.286347 \nL 91.170289 142.908957 \nL 90.341807 141.336032 \nL 89.868631 139.63649 \nL 89.805032 137.899478 \nL 89.937296 137.048987 \nL 90.180838 136.228661 \nL 90.534504 135.452139 \nL 90.995011 134.73262 \nL 91.556973 134.082434 \nL 92.212998 133.512658 \nL 92.953895 133.032786 \nL 93.768918 132.650426 \nL 94.646085 132.371113 \nL 95.572517 132.198205 \nL 97.519424 132.174161 \nL 99.502493 132.563331 \nL 101.421901 133.323539 \nL 103.1924 134.394176 \nL 104.747088 135.705477 \nL 106.037994 137.186431 \nL 107.034322 138.770355 \nL 107.719374 140.397949 \nL 108.087068 142.018228 \nL 108.13867 143.587963 \nL 107.880185 145.070184 \nL 107.320589 146.432302 \nL 106.470966 147.644126 \nL 105.344557 148.676006 \nL 103.957683 149.497306 \nL 102.331489 150.075336 \nL 100.494415 150.374966 \nL 98.485278 150.35919 \nL 96.356641 149.991006 \nL 94.178031 149.237045 \nL 92.038163 148.073254 \nL 91.015837 147.334585 \nL 90.045124 146.492706 \nL 89.142032 145.550976 \nL 88.323121 144.515024 \nL 87.605136 143.393015 \nL 87.004549 142.195842 \nL 86.53702 140.937226 \nL 86.216818 139.633698 \nL 86.056189 138.304416 \nL 86.064754 136.970822 \nL 86.24893 135.656109 \nL 86.611477 134.384545 \nL 87.151142 133.180626 \nL 87.862517 132.068167 \nL 88.736069 131.069342 \nL 89.758396 130.203782 \nL 90.912675 129.487772 \nL 92.179272 128.933624 \nL 93.536488 128.549306 \nL 94.96137 128.338293 \nL 96.430532 128.299674 \nL 97.920927 128.428508 \nL 99.410541 128.716339 \nL 100.87896 129.151865 \nL 102.307775 129.721635 \nL 103.680868 130.41078 \nL 104.98454 131.203697 \nL 106.207526 132.084643 \nL 108.37791 134.049784 \nL 110.145379 136.193448 \nL 111.490475 138.421036 \nL 112.412715 140.657837 \nL 112.923014 142.847217 \nL 113.037573 144.947003 \nL 112.773482 146.925304 \nL 112.145996 148.75644 \nL 111.167279 150.417244 \nL 109.846441 151.883805 \nL 108.190733 153.128605 \nL 106.207878 154.118019 \nL 103.909588 154.810253 \nL 101.31638 155.153931 \nL 99.9195 155.176297 \nL 98.463778 155.087872 \nL 96.957224 154.879765 \nL 95.40977 154.54285 \nL 93.833527 154.068034 \nL 92.243014 153.446579 \nL 90.655364 152.67056 \nL 89.090443 151.733379 \nL 87.570877 150.630427 \nL 86.121939 149.359795 \nL 84.771266 147.923104 \nL 83.54836 146.326305 \nL 82.483864 144.580497 \nL 81.608586 142.702594 \nL 80.952281 140.7158 \nL 80.542244 138.64976 \nL 80.401767 136.540282 \nL 80.548595 134.428557 \nL 80.9935 132.359853 \nL 81.739137 130.381691 \nL 82.779307 128.541576 \nL 84.098784 126.884531 \nL 85.673735 125.4506 \nL 87.472742 124.272597 \nL 89.458337 123.374354 \nL 91.588918 122.769664 \nL 93.820821 122.462013 \nL 96.110401 122.445093 \nL 98.41589 122.70396 \nL 100.698925 123.216714 \nL 102.925656 123.956425 \nL 105.067423 124.893118 \nL 107.101012 125.995609 \nL 109.008584 127.233057 \nL 110.777326 128.576202 \nL 112.398932 129.998208 \nL 113.868978 131.475182 \nL 115.186263 132.986404 \nL 116.352157 134.514329 \nL 117.369987 136.044439 \nL 118.98133 139.066594 \nL 120.066987 141.986056 \nL 120.677236 144.764503 \nL 120.858154 147.382621 \nL 120.647073 149.832505 \nL 120.070389 152.111905 \nL 119.142918 154.219925 \nL 117.868313 156.153642 \nL 116.240182 157.905216 \nL 114.243856 159.45908 \nL 111.858889 160.78886 \nL 109.062665 161.853852 \nL 107.503917 162.269423 \nL 105.835653 162.594969 \nL 104.05718 162.819508 \nL 102.169136 162.930392 \nL 100.173946 162.913207 \nL 98.076326 162.751737 \nL 95.883886 162.428008 \nL 93.60778 161.922444 \nL 91.263442 161.214193 \nL 88.871325 160.281639 \nL 86.45764 159.103205 \nL 84.055017 157.658467 \nL 81.702979 155.929643 \nL 79.448137 153.903475 \nL 77.343939 151.573495 \nL 75.44981 148.942572 \nL 73.829566 146.025611 \nL 72.548947 142.852056 \nL 71.672256 139.467899 \nL 71.258206 135.936638 \nL 71.355247 132.338742 \nL 71.996824 128.769221 \nL 73.197159 125.333049 \nL 74.948264 122.138695 \nL 77.21877 119.290209 \nL 79.954977 116.87892 \nL 83.084156 114.975925 \nL 86.519723 113.626476 \nL 90.167594 112.847293 \nL 93.932786 112.626982 \nL 97.725439 112.92945 \nL 101.46552 113.699447 \nL 105.085927 114.869223 \nL 108.533903 116.365216 \nL 111.771044 118.113934 \nL 114.772215 120.046465 \nL 117.523843 122.101483 \nL 120.021884 124.2268 \nL 122.269779 126.379777 \nL 124.276554 128.526892 \nL 126.055161 130.642803 \nL 127.621102 132.709168 \nL 130.18332 136.647468 \nL 132.101964 140.289961 \nL 133.50833 143.628744 \nL 134.517181 146.679076 \nL 135.223565 149.466636 \nL 135.876387 153.218285 \nL 136.198278 156.536276 \nL 136.304942 160.420116 \nL 136.168501 163.816762 \nL 135.83808 166.831686 \nL 135.30091 169.544439 \nL 134.727505 171.420164 \nL 133.961045 173.187409 \nL 132.939604 174.869821 \nL 132.075947 175.9555 \nL 131.028992 177.019655 \nL 129.758787 178.067421 \nL 128.216551 179.102068 \nL 126.342975 180.123529 \nL 124.066391 181.125987 \nL 121.301048 182.09401 \nL 117.945906 182.996465 \nL 113.884884 183.777094 \nL 108.990256 184.340261 \nL 106.189409 184.494669 \nL 103.132295 184.530083 \nL 99.805837 184.41286 \nL 96.200492 184.101543 \nL 92.312197 183.545625 \nL 88.144897 182.684387 \nL 83.713808 181.446038 \nL 79.049479 179.747465 \nL 74.202625 177.495069 \nL 69.249609 174.587376 \nL 64.298186 170.920231 \nL 59.492647 166.395585 \nL 55.017145 160.934744 \nL 51.095233 154.496492 \nL 47.98329 147.099456 \nL 45.955386 138.846233 \nL 45.278056 129.944239 \nL 46.175789 120.715776 \nL 48.791464 111.588722 \nL 53.150227 103.061345 \nL 59.137772 95.641362 \nL 66.502637 89.769164 \nL 74.885938 85.744189 \nL 83.872664 83.676299 \nL 93.050689 83.477272 \nL 102.061642 84.893588 \nL 110.632222 87.567444 \nL 118.583142 91.105696 \nL 125.820199 95.138164 \nL 132.315612 99.355134 \nL 138.087155 103.522933 \nL 143.179936 107.482566 \nL 151.569136 114.443994 \nL 168.08849 128.541836 \nL 171.578305 131.223206 \nL 174.511991 133.175391 \nL 176.497775 134.19338 \nL 177.458048 134.637799 \nL 177.428708 134.668124 \nL 176.506321 135.170736 \nL 175.583768 135.84361 \nL 175.136116 136.431073 \nL 175.130946 136.727145 \nL 175.380512 136.889456 \nL 175.858093 136.885921 \nL 176.676305 136.635067 \nL 177.560651 136.150368 \nL 178.280048 135.541143 \nL 178.588132 135.072702 \nL 178.573884 134.718836 \nL 178.337713 134.574223 \nL 177.754133 134.577751 \nL 176.954055 134.807869 \nL 175.863066 135.352713 \nL 174.945525 136.048661 \nL 174.501378 136.598942 \nL 174.399474 137.051108 \nL 174.564198 137.28177 \nL 174.92749 137.392677 \nL 175.676541 137.32828 \nL 176.635203 137.014058 \nL 177.663705 136.478596 \nL 178.592872 135.794087 \nL 179.246879 135.073182 \nL 179.465699 134.590615 \nL 179.406354 134.221363 \nL 179.060017 134.011651 \nL 178.452009 133.989314 \nL 177.337882 134.25634 \nL 176.064126 134.813761 \nL 174.85819 135.56152 \nL 173.924989 136.376372 \nL 173.413223 137.135091 \nL 173.356325 137.600354 \nL 173.590408 137.932118 \nL 174.102816 138.09806 \nL 174.861367 138.074819 \nL 175.814714 137.850645 \nL 177.264649 137.247516 \nL 178.718433 136.356149 \nL 179.921276 135.305723 \nL 180.503715 134.526037 \nL 180.712624 133.854546 \nL 180.6173 133.510196 \nL 180.329437 133.27338 \nL 179.857332 133.158698 \nL 178.848975 133.229139 \nL 177.577456 133.579868 \nL 176.180395 134.167624 \nL 174.3757 135.203658 \nL 173.236601 136.07097 \nL 172.394247 136.93333 \nL 171.914376 137.724393 \nL 171.813787 138.183108 \nL 171.892975 138.568747 \nL 172.150037 138.867335 \nL 172.578553 139.066349 \nL 173.51808 139.154975 \nL 174.76316 138.968437 \nL 176.234535 138.495346 \nL 177.826013 137.746953 \nL 179.403546 136.764605 \nL 180.809292 135.625486 \nL 181.874143 134.442843 \nL 182.315427 133.698845 \nL 182.496627 133.041741 \nL 182.392829 132.51311 \nL 181.995621 132.147786 \nL 181.315436 131.97 \nL 180.381874 131.990778 \nL 179.241686 132.20709 \nL 177.276999 132.86043 \nL 175.210993 133.822843 \nL 173.265858 134.978757 \nL 171.625772 136.214008 \nL 170.421212 137.429282 \nL 169.900044 138.187218 \nL 169.618868 138.878669 \nL 169.581861 139.484657 \nL 169.787473 139.987439 \nL 170.229503 140.370132 \nL 170.897692 140.616661 \nL 171.777792 140.712028 \nL 172.851119 140.642946 \nL 174.093675 140.398837 \nL 176.205912 139.691855 \nL 178.490771 138.582715 \nL 180.762828 137.121626 \nL 182.156894 136.003683 \nL 183.364202 134.826072 \nL 184.30455 133.650387 \nL 184.902414 132.547354 \nL 185.095377 131.590966 \nL 185.026323 131.189842 \nL 184.843099 130.850496 \nL 184.545396 130.579384 \nL 184.135098 130.381587 \nL 182.995341 130.218374 \nL 181.482051 130.368741 \nL 179.682218 130.814214 \nL 177.701753 131.514568 \nL 175.653419 132.415696 \nL 172.686276 134.015019 \nL 170.106684 135.749611 \nL 168.705886 136.908199 \nL 167.604093 138.030026 \nL 166.820511 139.089584 \nL 166.362209 140.06547 \nL 166.227889 140.938291 \nL 166.410955 141.689053 \nL 166.901721 142.298212 \nL 167.68859 142.745246 \nL 168.758295 143.008743 \nL 170.095205 143.066908 \nL 171.679784 142.898587 \nL 173.486295 142.484875 \nL 175.479845 141.811392 \nL 177.613026 140.871451 \nL 179.8225 139.670055 \nL 182.026211 138.228604 \nL 184.122151 136.589713 \nL 185.989983 134.821068 \nL 187.49683 133.016694 \nL 188.508285 131.293638 \nL 188.789729 130.503257 \nL 188.904631 129.78239 \nL 188.843543 129.146795 \nL 188.600389 128.61079 \nL 188.172961 128.186582 \nL 187.563258 127.883652 \nL 186.777662 127.708277 \nL 185.826877 127.663198 \nL 184.725662 127.747516 \nL 182.148106 128.283418 \nL 179.221248 129.245463 \nL 176.140279 130.531474 \nL 173.092412 132.030075 \nL 170.23605 133.639994 \nL 167.689626 135.281331 \nL 165.529967 136.898097 \nL 163.797482 138.45451 \nL 162.504803 139.928482 \nL 161.646082 141.305097 \nL 161.205194 142.571507 \nL 161.162084 143.71366 \nL 161.497111 144.714511 \nL 162.193565 145.553263 \nL 163.238653 146.205215 \nL 164.623198 146.64191 \nL 166.340202 146.831508 \nL 168.382326 146.739509 \nL 170.738226 146.330018 \nL 173.387646 145.567995 \nL 176.295184 144.422997 \nL 179.402819 142.87498 \nL 182.621724 140.922649 \nL 185.824577 138.594282 \nL 188.840629 135.960155 \nL 191.457021 133.143699 \nL 192.539956 131.721686 \nL 193.430677 130.326569 \nL 194.098376 128.988896 \nL 194.514466 127.740868 \nL 194.654158 126.615008 \nL 194.498075 125.642547 \nL 194.033824 124.851607 \nL 193.257306 124.26538 \nL 192.173645 123.900436 \nL 190.79756 123.765438 \nL 189.153116 123.860398 \nL 187.27278 124.176664 \nL 185.195881 124.697628 \nL 182.9666 125.400116 \nL 178.238055 127.235797 \nL 173.451255 129.443649 \nL 168.91474 131.805211 \nL 164.847765 134.162 \nL 161.375537 136.423522 \nL 158.544348 138.553765 \nL 156.344908 140.549708 \nL 154.735254 142.422075 \nL 153.659042 144.182476 \nL 153.058299 145.836882 \nL 152.881302 147.383476 \nL 153.086837 148.812874 \nL 153.645994 150.109142 \nL 154.542407 151.250777 \nL 155.771563 152.211201 \nL 157.339525 152.958705 \nL 159.26118 153.455861 \nL 161.557929 153.658648 \nL 164.254496 153.515537 \nL 167.374394 152.966996 \nL 170.933289 151.946145 \nL 174.929431 150.381666 \nL 179.3302 148.204615 \nL 181.659369 146.86848 \nL 184.054209 145.361294 \nL 186.493338 143.68223 \nL 188.949498 141.834618 \nL 191.388902 139.82716 \nL 193.770751 137.6752 \nL 196.047039 135.40202 \nL 198.162769 133.039995 \nL 200.05676 130.631394 \nL 201.663196 128.228634 \nL 202.914021 125.893633 \nL 203.742291 123.696082 \nL 204.08638 121.710339 \nL 203.894849 120.010973 \nL 203.131546 118.667075 \nL 201.78034 117.735912 \nL 199.848735 117.256734 \nL 197.369637 117.245732 \nL 194.400717 117.693248 \nL 191.021162 118.563965 \nL 187.326084 119.800384 \nL 183.419357 121.329036 \nL 179.40591 123.068407 \nL 171.442602 126.861486 \nL 164.066755 130.645738 \nL 157.652068 134.110881 \nL 152.334869 137.161709 \nL 148.085284 139.839156 \nL 144.781636 142.238129 \nL 142.265832 144.453944 \nL 140.377155 146.55869 \nL 138.969692 148.597085 \nL 137.919338 150.591339 \nL 137.124867 152.548432 \nL 136.242159 155.409641 \nL 133.481992 165.654116 \nL 132.495383 167.89144 \nL 131.68519 169.319452 \nL 130.719233 170.701583 \nL 129.563048 172.041739 \nL 128.175749 173.342615 \nL 126.508555 174.604457 \nL 124.503294 175.823227 \nL 122.091001 176.987774 \nL 119.190889 178.075539 \nL 115.710285 179.046064 \nL 111.546554 179.83135 \nL 109.175026 180.122425 \nL 106.592926 180.321921 \nL 103.788358 180.406509 \nL 100.751393 180.347551 \nL 97.475241 180.110226 \nL 93.957783 179.652656 \nL 90.203568 178.925132 \nL 86.226304 177.869586 \nL 82.051902 176.419536 \nL 77.722069 174.500859 \nL 73.298301 172.033818 \nL 68.866027 168.936886 \nL 64.538338 165.133032 \nL 60.458474 160.558983 \nL 56.799862 155.177783 \nL 53.762141 148.994286 \nL 51.561646 142.072179 \nL 50.415169 134.549616 \nL 50.517014 126.649036 \nL 52.011429 118.675661 \nL 54.964972 110.999885 \nL 59.34542 104.021664 \nL 65.014178 98.120536 \nL 71.736709 93.600893 \nL 79.210495 90.646164 \nL 87.104436 89.294598 \nL 95.09988 89.443228 \nL 102.923685 90.877371 \nL 110.367459 93.315516 \nL 117.292201 96.456579 \nL 123.621727 100.018639 \nL 129.329944 103.76365 \nL 134.4266 107.507943 \nL 138.944494 111.121721 \nL 142.929479 114.521889 \nL 149.509469 120.522995 \nL 158.52214 129.287255 \nL 162.970883 133.534069 \nL 165.303259 135.531057 \nL 167.330599 136.993482 \nL 169.175325 138.005399 \nL 170.923105 138.629684 \nL 172.628868 138.913723 \nL 174.321462 138.894741 \nL 176.007144 138.604632 \nL 177.672205 138.074373 \nL 179.285176 137.337945 \nL 180.799181 136.435655 \nL 182.154986 135.416517 \nL 183.285349 134.339215 \nL 184.120959 133.271087 \nL 184.598025 132.284719 \nL 184.666857 131.452185 \nL 184.538618 131.114157 \nL 184.300303 130.837541 \nL 183.953128 130.627796 \nL 182.947307 130.423561 \nL 181.571161 130.514989 \nL 179.902636 130.890555 \nL 178.039309 131.517139 \nL 175.11148 132.820602 \nL 172.324763 134.396329 \nL 169.950293 136.075615 \nL 168.687688 137.186222 \nL 167.719183 138.25418 \nL 167.060765 139.255344 \nL 166.71772 140.168904 \nL 166.687937 140.975571 \nL 166.964562 141.656297 \nL 167.537765 142.191521 \nL 168.395596 142.560937 \nL 169.523918 142.743735 \nL 170.905507 142.719278 \nL 172.518358 142.468299 \nL 174.333314 141.974688 \nL 176.311179 141.227994 \nL 178.399587 140.226699 \nL 180.530073 138.98223 \nL 182.61612 137.523393 \nL 184.5531 135.90048 \nL 186.221405 134.187904 \nL 187.49382 132.483671 \nL 188.247742 130.903997 \nL 188.397208 130.199513 \nL 188.38161 129.572038 \nL 188.194532 129.03532 \nL 187.833046 128.601293 \nL 187.298054 128.279532 \nL 186.594491 128.076759 \nL 185.731321 127.996525 \nL 184.721341 128.039053 \nL 182.328772 128.477098 \nL 179.576831 129.332531 \nL 176.647364 130.514591 \nL 173.719163 131.920133 \nL 170.94763 133.451887 \nL 168.452753 135.030223 \nL 166.315916 136.597021 \nL 164.583418 138.113405 \nL 163.273837 139.554318 \nL 162.386495 140.902554 \nL 161.90927 142.143822 \nL 161.82485 143.26338 \nL 162.115148 144.244079 \nL 162.763973 145.065465 \nL 163.758201 145.703511 \nL 165.08763 146.130738 \nL 166.743714 146.316618 \nL 168.717192 146.228336 \nL 170.994626 145.832121 \nL 173.553754 145.095518 \nL 176.357635 143.991046 \nL 179.347738 142.501775 \nL 182.436487 140.629132 \nL 185.500485 138.402892 \nL 188.376515 135.892307 \nL 190.863475 133.215768 \nL 191.890469 131.866853 \nL 192.734057 130.544618 \nL 193.365754 129.277464 \nL 193.759241 128.095203 \nL 193.891772 127.027849 \nL 193.745644 126.104159 \nL 193.309575 125.350031 \nL 192.579879 124.786864 \nL 191.561284 124.430083 \nL 190.267264 124.288001 \nL 188.719811 124.361127 \nL 186.94862 124.642169 \nL 184.989737 125.116589 \nL 180.673861 126.558973 \nL 176.115121 128.482511 \nL 171.634876 130.67054 \nL 167.487888 132.942852 \nL 163.843286 135.178225 \nL 160.788527 137.312684 \nL 158.346819 139.323692 \nL 156.498538 141.211369 \nL 155.200611 142.983428 \nL 154.401316 144.645891 \nL 154.0503 146.198781 \nL 154.104581 147.634957 \nL 154.53164 148.940489 \nL 155.310517 150.095492 \nL 156.431651 151.074699 \nL 157.895871 151.847654 \nL 159.712789 152.378406 \nL 161.898533 152.624913 \nL 164.472624 152.538417 \nL 167.45359 152.06317 \nL 170.852687 151.137245 \nL 174.665009 149.695384 \nL 178.857216 147.67533 \nL 183.35145 145.029521 \nL 185.670605 143.465621 \nL 188.006019 141.744101 \nL 190.326717 139.872982 \nL 192.595478 137.866196 \nL 194.768664 135.744703 \nL 196.796415 133.53747 \nL 198.623354 131.282187 \nL 200.189896 129.025488 \nL 201.434309 126.822459 \nL 202.295554 124.735209 \nL 202.716873 122.830332 \nL 202.649963 121.175204 \nL 202.059405 119.833233 \nL 200.926829 118.858501 \nL 199.254277 118.290357 \nL 197.066094 118.148852 \nL 194.408851 118.431877 \nL 191.349111 119.114654 \nL 187.96909 120.15198 \nL 184.360803 121.48287 \nL 180.619482 123.036984 \nL 173.097316 126.528269 \nL 166.014736 130.122333 \nL 159.764609 133.496236 \nL 154.520248 136.521374 \nL 150.290126 139.205326 \nL 146.984086 141.619469 \nL 144.466927 143.846254 \nL 142.593466 145.952574 \nL 141.22808 147.982135 \nL 140.253692 149.957817 \nL 139.574411 151.887503 \nL 139.114726 153.769997 \nL 138.715164 156.492463 \nL 138.549278 159.072724 \nL 138.558815 162.259899 \nL 138.752922 165.135526 \nL 139.110657 167.691444 \nL 139.658792 169.926626 \nL 140.233734 171.390245 \nL 140.997386 172.664632 \nL 141.641198 173.402605 \nL 142.419886 174.043722 \nL 143.362633 174.578246 \nL 144.505091 174.992496 \nL 145.89067 175.267518 \nL 147.571996 175.377293 \nL 149.612474 175.286281 \nL 152.087791 174.946125 \nL 155.087025 174.291276 \nL 158.712715 173.233372 \nL 163.078692 171.654426 \nL 168.303587 169.399469 \nL 171.273227 167.95839 \nL 174.49649 166.270601 \nL 177.981004 164.304651 \nL 181.729242 162.02716 \nL 185.736354 159.403903 \nL 189.987428 156.40157 \nL 194.454147 152.990423 \nL 199.09084 149.148136 \nL 203.830029 144.865005 \nL 208.577731 140.150765 \nL 213.209 135.042925 \nL 217.564553 129.616279 \nL 221.449741 123.992523 \nL 224.637515 118.348136 \nL 226.877409 112.917545 \nL 227.912422 107.987649 \nL 227.504855 103.879535 \nL 225.470096 100.91447 \nL 221.714018 99.365136 \nL 216.265806 99.399449 \nL 209.29526 101.031567 \nL 201.104882 104.098284 \nL 192.093572 108.275006 \nL 182.699078 113.132018 \nL 155.958481 127.561933 \nL 148.323523 131.36191 \nL 141.489998 134.464686 \nL 135.449481 136.8945 \nL 130.155257 138.725184 \nL 125.5408 140.052455 \nL 121.532533 140.974678 \nL 118.057612 141.58172 \nL 115.04811 141.949912 \nL 110.187969 142.203068 \nL 106.548135 142.077494 \nL 103.82658 141.766362 \nL 100.998482 141.162883 \nL 99.240791 140.529852 \nL 98.231941 139.941052 \nL 97.76162 139.442124 \nL 97.681271 139.06934 \nL 97.874872 138.850827 \nL 98.243555 138.802864 \nL 98.856786 139.004117 \nL 99.445511 139.468983 \nL 99.867818 140.116457 \nL 100.027996 140.840253 \nL 99.946698 141.364074 \nL 99.690361 141.819342 \nL 99.273354 142.163849 \nL 98.724415 142.362471 \nL 98.085492 142.3897 \nL 97.409879 142.232383 \nL 96.759255 141.892599 \nL 96.199038 141.390143 \nL 95.79199 140.763744 \nL 95.590377 140.069902 \nL 95.627833 139.378466 \nL 95.912682 138.764795 \nL 96.424644 138.299549 \nL 97.116141 138.038202 \nL 97.918296 138.012837 \nL 98.750269 138.228226 \nL 99.529672 138.662785 \nL 100.181845 139.273442 \nL 100.646584 140.002538 \nL 100.881852 140.784854 \nL 100.865113 141.553449 \nL 100.593171 142.243894 \nL 100.08149 142.797152 \nL 99.363605 143.161905 \nL 98.490682 143.297066 \nL 97.530779 143.175186 \nL 96.566885 142.786943 \nL 95.69256 142.146352 \nL 95.004192 141.295319 \nL 94.58961 140.305438 \nL 94.499 139.615911 \nL 94.570956 138.941493 \nL 94.808012 138.317083 \nL 95.20347 137.776372 \nL 95.74145 137.349268 \nL 96.397797 137.059569 \nL 97.141739 136.923177 \nL 97.938091 136.947154 \nL 98.749672 137.12963 \nL 99.915754 137.676607 \nL 100.921671 138.49495 \nL 101.677666 139.501979 \nL 102.121278 140.605583 \nL 102.225146 141.34919 \nL 102.170154 142.068339 \nL 101.956993 142.738221 \nL 101.590744 143.335606 \nL 101.080742 143.838919 \nL 100.440575 144.228362 \nL 99.688221 144.486128 \nL 98.846247 144.596816 \nL 97.941998 144.548125 \nL 97.007631 144.331802 \nL 96.079838 143.944895 \nL 95.1991 143.391155 \nL 94.408339 142.682476 \nL 93.750828 141.840096 \nL 93.267427 140.895211 \nL 92.993264 139.888675 \nL 92.954243 138.869467 \nL 93.163844 137.891811 \nL 93.620818 137.01112 \nL 94.308272 136.279217 \nL 95.194426 135.739536 \nL 96.235081 135.423178 \nL 97.377378 135.346449 \nL 98.564245 135.510278 \nL 99.738834 135.90142 \nL 100.848317 136.495055 \nL 101.846627 137.258107 \nL 102.696045 138.152649 \nL 103.3677 139.138904 \nL 103.841234 140.177508 \nL 104.103969 141.230967 \nL 104.149864 142.26438 \nL 103.978505 143.245576 \nL 103.594324 144.144875 \nL 103.006158 144.934667 \nL 102.22719 145.588955 \nL 101.275265 146.083059 \nL 100.173542 146.393637 \nL 98.951362 146.499103 \nL 97.645174 146.380617 \nL 96.299279 146.023714 \nL 94.966083 145.420631 \nL 93.705486 144.573173 \nL 92.58304 143.495896 \nL 91.666557 142.219068 \nL 91.021107 140.790615 \nL 90.702699 139.276203 \nL 90.751342 137.756611 \nL 91.184767 136.322019 \nL 91.994133 135.063609 \nL 93.142978 134.063656 \nL 94.569981 133.386152 \nL 96.195167 133.069927 \nL 97.928363 133.125745 \nL 99.678164 133.537742 \nL 101.359762 134.268399 \nL 102.900511 135.265469 \nL 104.242837 136.4692 \nL 105.344715 137.818464 \nL 106.178386 139.255143 \nL 106.728024 140.726597 \nL 106.98708 142.186526 \nL 106.955786 143.594611 \nL 106.639169 144.91545 \nL 106.045759 146.117097 \nL 105.187043 147.169556 \nL 104.077702 148.043404 \nL 102.736562 148.708721 \nL 101.188225 149.134541 \nL 99.465237 149.288981 \nL 97.610605 149.140373 \nL 95.6803 148.659605 \nL 93.745243 147.823995 \nL 91.891996 146.622777 \nL 90.221243 145.063941 \nL 89.48854 144.159855 \nL 88.843057 143.181565 \nL 88.298613 142.138446 \nL 87.868334 141.042122 \nL 87.564184 139.906446 \nL 87.396502 138.747335 \nL 87.373519 137.58253 \nL 87.500924 136.43117 \nL 87.781486 135.313295 \nL 88.214789 134.249207 \nL 88.797079 133.258793 \nL 89.521272 132.360788 \nL 90.377093 131.57208 \nL 91.35139 130.907066 \nL 92.428561 130.377161 \nL 93.591095 129.990404 \nL 94.820178 129.751313 \nL 96.096323 129.660864 \nL 97.399995 129.716685 \nL 98.712169 129.913383 \nL 100.014834 130.242988 \nL 101.291368 130.695471 \nL 102.526841 131.259291 \nL 104.824227 132.670376 \nL 106.825493 134.372833 \nL 108.478259 136.267529 \nL 109.754637 138.267194 \nL 110.645104 140.299481 \nL 111.15235 142.306748 \nL 111.286007 144.243836 \nL 111.058638 146.074985 \nL 110.483117 147.770478 \nL 109.571333 149.303478 \nL 108.334083 150.647123 \nL 106.782105 151.772027 \nL 104.928176 152.64415 \nL 102.790308 153.22328 \nL 100.396025 153.46226 \nL 97.787669 153.307575 \nL 96.421981 153.064716 \nL 95.028455 152.701899 \nL 93.619262 152.21226 \nL 92.20859 151.589591 \nL 90.812736 150.828739 \nL 89.45013 149.926067 \nL 88.141256 148.879993 \nL 86.908463 147.691564 \nL 85.775621 146.365071 \nL 84.767615 144.908615 \nL 83.90967 143.334654 \nL 83.226493 141.660359 \nL 82.741278 139.907819 \nL 82.474595 138.103947 \nL 82.443231 136.280055 \nL 82.65909 134.47108 \nL 83.128219 132.714419 \nL 83.850089 131.048446 \nL 84.817207 129.51079 \nL 86.015135 128.136503 \nL 87.42294 126.956286 \nL 89.014047 125.994967 \nL 90.75743 125.270318 \nL 92.619059 124.792417 \nL 94.563425 124.563509 \nL 96.555057 124.578446 \nL 98.559892 124.825531 \nL 100.546403 125.287726 \nL 102.486454 125.944048 \nL 104.355817 126.770972 \nL 106.134435 127.743779 \nL 107.806411 128.837729 \nL 109.359812 130.028994 \nL 110.786313 131.295353 \nL 112.080763 132.616645 \nL 113.240704 133.975015 \nL 114.26588 135.354981 \nL 115.919127 138.12922 \nL 117.065537 140.858855 \nL 117.739657 143.490968 \nL 117.977173 145.992666 \nL 117.809477 148.344148 \nL 117.260582 150.53296 \nL 116.345802 152.549369 \nL 115.071737 154.382591 \nL 113.437278 156.017527 \nL 111.435541 157.431715 \nL 109.056811 158.592246 \nL 106.292822 159.452615 \nL 104.765605 159.751206 \nL 103.142785 159.949576 \nL 101.426804 160.036786 \nL 99.621773 160.000607 \nL 97.733893 159.827554 \nL 95.771921 159.503013 \nL 93.747673 159.011454 \nL 91.676556 158.336783 \nL 89.578067 157.462851 \nL 87.476279 156.374192 \nL 85.40021 155.056965 \nL 83.38402 153.500149 \nL 81.466956 151.697009 \nL 79.692942 149.64673 \nL 78.109742 147.356218 \nL 76.76757 144.84186 \nL 75.717128 142.131089 \nL 75.007107 139.263471 \nL 74.681192 136.29103 \nL 74.774834 133.27754 \nL 75.312035 130.296529 \nL 76.302588 127.428002 \nL 77.740132 124.753945 \nL 79.601396 122.353028 \nL 81.846873 120.295075 \nL 84.422927 118.636014 \nL 87.26513 117.413986 \nL 90.302441 116.647215 \nL 93.461683 116.333833 \nL 96.671797 116.453586 \nL 99.867416 116.971104 \nL 102.991473 117.840059 \nL 105.996742 119.007643 \nL 108.846398 120.418753 \nL 111.513738 122.019515 \nL 113.981324 123.759909 \nL 116.239765 125.595445 \nL 118.286343 127.488032 \nL 120.123631 129.406139 \nL 121.758202 131.324516 \nL 123.199486 133.223584 \nL 124.4588 135.088696 \nL 126.481605 138.678399 \nL 127.928489 142.046051 \nL 128.89562 145.178355 \nL 129.465961 148.081603 \nL 129.706123 150.772077 \nL 129.665844 153.270125 \nL 129.378855 155.596705 \nL 128.864327 157.771412 \nL 128.128386 159.811374 \nL 127.165426 161.730543 \nL 125.959095 163.539106 \nL 124.482928 165.242724 \nL 122.700734 166.841341 \nL 120.566866 168.327341 \nL 118.02671 169.682699 \nL 115.017819 170.874733 \nL 111.472489 171.849998 \nL 109.477263 172.231946 \nL 107.322964 172.525874 \nL 105.002697 172.71509 \nL 102.511143 172.779585 \nL 99.84531 172.695601 \nL 97.005469 172.435225 \nL 93.996329 171.966072 \nL 90.828457 171.251138 \nL 87.519947 170.248914 \nL 84.098345 168.913932 \nL 80.602717 167.197956 \nL 77.085775 165.05197 \nL 73.615792 162.429315 \nL 70.277989 159.290127 \nL 67.174871 155.607196 \nL 64.42495 151.37322 \nL 62.159186 146.608946 \nL 60.514548 141.371341 \nL 59.6245 135.760264 \nL 59.606639 129.92167 \nL 60.548674 124.045226 \nL 62.49475 118.354545 \nL 65.434876 113.089693 \nL 69.300199 108.483408 \nL 73.966085 104.734737 \nL 79.263241 101.985294 \nL 84.995147 100.303366 \nL 90.958285 99.679451 \nL 96.961243 100.033784 \nL 102.83935 101.233306 \nL 108.463145 103.113527 \nL 113.740727 105.50036 \nL 118.615293 108.22806 \nL 123.059767 111.151298 \nL 127.070286 114.151295 \nL 130.659815 117.137003 \nL 133.852636 120.042945 \nL 136.679972 122.825325 \nL 141.379046 127.925622 \nL 145.043177 132.357 \nL 149.177642 137.810637 \nL 153.276099 143.188327 \nL 155.08884 145.197953 \nL 156.906035 146.809152 \nL 158.81949 148.043928 \nL 160.903038 148.90987 \nL 163.21585 149.401145 \nL 165.803964 149.499774 \nL 168.699697 149.177399 \nL 171.918585 148.398079 \nL 175.453531 147.122896 \nL 179.265941 145.317436 \nL 183.274089 142.963389 \nL 187.33989 140.075148 \nL 189.332819 138.449349 \nL 191.257023 136.721215 \nL 193.075185 134.911599 \nL 194.745828 133.047413 \nL 196.224131 131.161879 \nL 197.463199 129.294324 \nL 198.415819 127.489475 \nL 199.036726 125.796066 \nL 199.285281 124.264731 \nL 199.12841 122.945224 \nL 198.543554 121.883088 \nL 197.521307 121.116102 \nL 196.067366 120.670907 \nL 194.20347 120.560295 \nL 191.967025 120.781682 \nL 189.409384 121.317065 \nL 186.592852 122.134607 \nL 183.586777 123.191667 \nL 177.292563 125.824403 \nL 171.062703 128.816329 \nL 165.312126 131.843626 \nL 160.294565 134.711487 \nL 156.115321 137.345752 \nL 152.77113 139.751767 \nL 150.193771 141.970765 \nL 148.28518 144.049321 \nL 146.941161 146.023928 \nL 146.065277 147.91644 \nL 145.575789 149.735332 \nL 145.408186 151.479054 \nL 145.51521 153.139473 \nL 145.865653 154.704465 \nL 146.442708 156.15946 \nL 147.242355 157.488037 \nL 148.271988 158.671758 \nL 149.549387 159.689376 \nL 151.10199 160.515553 \nL 152.966363 161.119135 \nL 155.187644 161.461025 \nL 157.818654 161.491657 \nL 160.918119 161.148212 \nL 164.547228 160.351854 \nL 168.763321 159.005688 \nL 173.608965 156.994879 \nL 176.272922 155.700476 \nL 179.094103 154.191513 \nL 182.064159 152.45223 \nL 185.168647 150.468588 \nL 188.385523 148.229669 \nL 191.683484 145.729498 \nL 195.020244 142.969332 \nL 198.340879 139.960387 \nL 201.576429 136.726948 \nL 204.643092 133.309615 \nL 207.442376 129.768368 \nL 209.862687 126.184824 \nL 211.782877 122.662978 \nL 213.078173 119.327396 \nL 213.628696 116.31803 \nL 213.330363 113.780869 \nL 212.107264 111.854532 \nL 209.923944 110.653846 \nL 206.795215 110.252864 \nL 202.791022 110.670808 \nL 198.034269 111.864896 \nL 192.691015 113.732844 \nL 186.954215 116.125621 \nL 181.024087 118.86802 \nL 169.310483 124.709204 \nL 149.720222 134.618207 \nL 132.473581 143.080319 \nL 129.078354 145.036049 \nL 126.387245 146.852783 \nL 124.168339 148.605286 \nL 121.3211 151.167589 \nL 117.70293 154.414633 \nL 115.742535 155.908422 \nL 113.580906 157.268924 \nL 111.16021 158.452672 \nL 108.434942 159.407143 \nL 105.373314 160.067579 \nL 103.711158 160.263106 \nL 101.961488 160.353592 \nL 100.126612 160.326108 \nL 98.211102 160.166529 \nL 96.222218 159.859618 \nL 94.170396 159.389197 \nL 92.069759 158.738472 \nL 89.938622 157.890499 \nL 87.799992 156.82887 \nL 85.681951 155.538636 \nL 83.617915 154.007466 \nL 81.646632 152.227087 \nL 79.811841 150.194955 \nL 78.161505 147.916072 \nL 76.746506 145.404848 \nL 75.618738 142.686768 \nL 74.828628 139.799672 \nL 74.422127 136.794263 \nL 74.437387 133.733615 \nL 74.90141 130.691393 \nL 75.82705 127.748701 \nL 77.210821 124.989636 \nL 79.031861 122.495912 \nL 81.252364 120.341079 \nL 83.819518 118.58519 \nL 86.668778 117.270471 \nL 89.728089 116.418828 \nL 92.922518 116.031297 \nL 96.178731 116.089592 \nL 99.428813 116.559247 \nL 102.613106 117.393873 \nL 105.681973 118.539806 \nL 108.596465 119.940524 \nL 111.328141 121.540386 \nL 113.858222 123.287482 \nL 116.17636 125.135501 \nL 118.279222 127.044683 \nL 120.169055 128.982071 \nL 121.852335 130.921242 \nL 123.338579 132.841694 \nL 124.639316 134.728081 \nL 126.735638 138.358172 \nL 128.246209 141.761659 \nL 129.27056 144.924528 \nL 129.894973 147.853228 \nL 130.189169 150.564617 \nL 130.205758 153.07981 \nL 129.981143 155.420618 \nL 129.537044 157.60755 \nL 128.882105 159.658758 \nL 128.013288 161.589408 \nL 126.916916 163.411222 \nL 125.56934 165.131911 \nL 123.937279 166.754275 \nL 121.977967 168.27473 \nL 119.639322 169.680999 \nL 116.86052 170.948546 \nL 113.573565 172.035366 \nL 109.706822 172.874573 \nL 107.534279 173.171199 \nL 105.192075 173.364352 \nL 102.674318 173.433755 \nL 99.977412 173.35526 \nL 97.101013 173.100402 \nL 94.049227 172.636044 \nL 90.832079 171.924168 \nL 87.467249 170.921951 \nL 83.982067 169.582269 \nL 80.415715 167.854845 \nL 76.821476 165.688254 \nL 73.268827 163.033111 \nL 69.844977 159.846626 \nL 66.655387 156.098718 \nL 63.822567 151.779628 \nL 61.482521 146.90857 \nL 59.778122 141.542504 \nL 58.849152 135.783428 \nL 58.819292 129.782068 \nL 59.781198 123.735654 \nL 61.781883 117.877771 \nL 64.811354 112.459886 \nL 68.797467 107.725971 \nL 73.609227 103.884331 \nL 79.068752 101.0822 \nL 84.969952 99.388877 \nL 91.10018 98.791267 \nL 97.260497 99.202301 \nL 103.280981 100.47948 \nL 109.029351 102.448453 \nL 114.412996 104.926251 \nL 119.375988 107.740108 \nL 123.893104 110.739884 \nL 127.9628 113.804055 \nL 131.600454 116.840509 \nL 134.832627 119.78393 \nL 137.692553 122.591429 \nL 142.443108 127.710245 \nL 146.14866 132.127178 \nL 155.459856 143.777438 \nL 157.313191 145.49733 \nL 159.223141 146.822757 \nL 161.270212 147.768366 \nL 163.517575 148.334893 \nL 166.013183 148.51074 \nL 168.789853 148.273994 \nL 171.863001 147.595398 \nL 175.225771 146.442883 \nL 178.841489 144.788621 \nL 182.633716 142.619566 \nL 186.475038 139.952187 \nL 188.357833 138.449369 \nL 190.177212 136.851055 \nL 191.899492 135.176106 \nL 193.487352 133.448657 \nL 194.900539 131.698321 \nL 196.096961 129.960022 \nL 197.034195 128.273408 \nL 197.671405 126.68169 \nL 197.971605 125.229913 \nL 197.904168 123.962647 \nL 197.447343 122.921236 \nL 196.59057 122.140799 \nL 195.336244 121.64735 \nL 193.700682 121.455408 \nL 191.714053 121.566468 \nL 189.419181 121.968658 \nL 186.86925 122.637732 \nL 184.124683 123.539276 \nL 181.249508 124.631875 \nL 175.359673 127.211294 \nL 169.654772 130.038219 \nL 164.469103 132.857269 \nL 159.996039 135.524275 \nL 156.30668 137.989793 \nL 153.385798 140.262865 \nL 151.168062 142.376739 \nL 149.566417 144.366167 \nL 148.491086 146.256459 \nL 147.860699 148.060613 \nL 147.60786 149.780582 \nL 147.68118 151.409966 \nL 148.045291 152.936556 \nL 148.679858 154.344117 \nL 149.578238 155.613272 \nL 150.746118 156.721512 \nL 152.200294 157.642509 \nL 153.967568 158.344874 \nL 156.083625 158.790407 \nL 158.591601 158.932025 \nL 161.539882 158.711496 \nL 164.978411 158.057325 \nL 168.952492 156.883477 \nL 173.492646 155.090225 \nL 175.976731 153.927534 \nL 178.598706 152.569278 \nL 181.349886 151.002697 \nL 184.216231 149.216768 \nL 187.177122 147.203389 \nL 190.204034 144.958897 \nL 193.259197 142.485908 \nL 196.294325 139.795497 \nL 199.249613 136.909609 \nL 202.053205 133.86355 \nL 204.621452 130.70826 \nL 206.860291 127.51195 \nL 208.668113 124.36055 \nL 209.940414 121.356284 \nL 210.576357 118.613731 \nL 210.487114 116.252911 \nL 209.605324 114.389451 \nL 207.894587 113.12238 \nL 205.35741 112.521375 \nL 202.039786 112.615582 \nL 198.030937 113.386863 \nL 193.45745 114.769555 \nL 188.472336 116.657613 \nL 183.240782 118.91809 \nL 177.925169 121.408106 \nL 167.602987 126.553284 \nL 141.70218 139.891229 \nL 137.377068 142.337548 \nL 134.032927 144.500138 \nL 131.423302 146.512775 \nL 129.331331 148.454401 \nL 127.575272 150.361955 \nL 121.323758 157.641686 \nL 119.49171 159.292493 \nL 117.411599 160.827693 \nL 115.025058 162.214312 \nL 112.277885 163.409776 \nL 109.121244 164.357315 \nL 107.376473 164.715137 \nL 105.515587 164.9804 \nL 103.536332 165.139431 \nL 101.438247 165.17657 \nL 99.223178 165.074016 \nL 96.895908 164.811769 \nL 94.46489 164.367646 \nL 91.943083 163.717475 \nL 89.348862 162.835485 \nL 86.706982 161.695003 \nL 84.04951 160.269501 \nL 81.41666 158.534109 \nL 78.857352 156.467643 \nL 76.429358 154.055164 \nL 74.198817 151.291062 \nL 72.238862 148.182511 \nL 70.627204 144.752997 \nL 69.442494 141.045485 \nL 68.759499 137.124631 \nL 68.643308 133.077321 \nL 69.143103 129.010868 \nL 70.28618 125.048368 \nL 72.073247 121.321211 \nL 74.475864 117.959224 \nL 77.436805 115.07967 \nL 80.873508 112.776673 \nL 84.684349 111.112912 \nL 88.756757 110.114961 \nL 92.975965 109.773061 \nL 97.233079 110.045073 \nL 101.431451 110.863687 \nL 105.490801 112.145298 \nL 109.34904 113.799004 \nL 112.962108 115.734486 \nL 116.302423 117.867935 \nL 119.356481 120.125844 \nL 122.122143 122.446836 \nL 124.605963 124.781883 \nL 126.820788 127.093502 \nL 128.783717 129.354302 \nL 130.514463 131.545298 \nL 133.363944 135.674049 \nL 135.538015 139.436349 \nL 137.1937 142.835412 \nL 138.467464 145.896557 \nL 139.904637 149.927718 \nL 142.402038 157.249495 \nL 143.533483 159.667766 \nL 144.405924 161.067945 \nL 145.413874 162.300404 \nL 146.594086 163.360374 \nL 147.986801 164.236802 \nL 149.637341 164.91138 \nL 151.597467 165.357046 \nL 153.926349 165.535923 \nL 156.690931 165.396619 \nL 159.965158 164.870919 \nL 163.827236 163.870132 \nL 168.353499 162.281793 \nL 170.886327 161.22523 \nL 173.606722 159.968322 \nL 176.517085 158.490547 \nL 179.61577 156.770815 \nL 182.895692 154.788293 \nL 186.342656 152.523631 \nL 189.93339 149.960669 \nL 193.633325 147.088751 \nL 197.394202 143.905698 \nL 201.151676 140.421503 \nL 204.82317 136.662632 \nL 208.306423 132.676712 \nL 211.479269 128.537126 \nL 214.201412 124.346627 \nL 216.318948 120.238864 \nL 217.672432 116.376229 \nL 218.10884 112.942515 \nL 217.497228 110.129163 \nL 215.746639 108.115117 \nL 212.823653 107.042057 \nL 208.765726 106.989297 \nL 203.686168 107.954479 \nL 197.767772 109.846455 \nL 191.244751 112.494389 \nL 184.376111 115.672515 \nL 170.589904 122.649582 \nL 157.994472 129.138186 \nL 147.39096 134.306441 \nL 138.912611 138.084102 \nL 129.621813 141.857853 \nL 123.331115 144.423292 \nL 120.230224 145.851971 \nL 116.545671 147.829909 \nL 110.437802 151.335422 \nL 108.351519 152.272817 \nL 106.127351 153.021193 \nL 103.733317 153.527293 \nL 101.15994 153.732672 \nL 98.422029 153.574345 \nL 95.562096 152.986967 \nL 94.108286 152.51242 \nL 92.654634 151.907614 \nL 91.216072 151.166473 \nL 89.809874 150.284396 \nL 88.455594 149.258779 \nL 87.17487 148.089579 \nL 85.9911 146.779941 \nL 84.928967 145.336784 \nL 84.013773 143.771363 \nL 83.2706 142.0997 \nL 82.723309 140.342827 \nL 82.393438 138.526788 \nL 82.298992 136.682288 \nL 82.453297 134.843982 \nL 82.863953 133.049392 \nL 83.532017 131.337453 \nL 84.451514 129.746783 \nL 85.60935 128.313836 \nL 86.985666 127.071048 \nL 88.554607 126.045169 \nL 90.285497 125.255983 \nL 92.14424 124.715516 \nL 94.094903 124.427765 \nL 96.10127 124.38903 \nL 98.128291 124.588703 \nL 100.143294 125.01044 \nL 102.116918 125.633563 \nL 104.023721 126.434507 \nL 105.842488 127.388238 \nL 107.556278 128.469479 \nL 109.152245 129.653739 \nL 110.621309 130.918055 \nL 111.957713 132.241513 \nL 113.158547 133.605524 \nL 114.223231 134.99393 \nL 115.950624 137.791141 \nL 117.164407 140.548829 \nL 117.899661 143.211552 \nL 118.193224 145.744982 \nL 118.077907 148.128738 \nL 117.579165 150.350423 \nL 116.713599 152.400866 \nL 115.488817 154.270252 \nL 113.904312 155.944853 \nL 111.953259 157.403931 \nL 109.625284 158.616692 \nL 106.910482 159.539094 \nL 105.406418 159.87322 \nL 103.80514 160.110602 \nL 102.10846 160.240624 \nL 100.319729 160.251359 \nL 98.444248 160.129558 \nL 96.489727 159.860756 \nL 94.466792 159.42942 \nL 92.389509 158.81927 \nL 90.275935 158.013714 \nL 88.148621 156.996518 \nL 86.035049 155.752675 \nL 83.967913 154.269533 \nL 81.985188 152.538192 \nL 80.129876 150.555133 \nL 78.449315 148.324008 \nL 76.993986 145.857509 \nL 75.815734 143.179089 \nL 74.965393 140.324315 \nL 74.489874 137.341532 \nL 74.428897 134.291586 \nL 74.811639 131.246275 \nL 75.653652 128.285452 \nL 76.954505 125.492821 \nL 78.696537 122.950698 \nL 80.845005 120.734305 \nL 83.349753 118.906287 \nL 86.148263 117.512215 \nL 89.169714 116.577705 \nL 92.339575 116.107523 \nL 95.584124 116.086763 \nL 98.834404 116.483734 \nL 102.029256 117.254042 \nL 105.117251 118.345195 \nL 108.057567 119.70106 \nL 110.819933 121.265767 \nL 113.383908 122.986717 \nL 115.737695 124.816593 \nL 117.876764 126.714491 \nL 119.802404 128.646284 \nL 121.520369 130.584432 \nL 123.039648 132.507427 \nL 124.371421 134.399049 \nL 126.52308 138.044869 \nL 128.079765 141.467687 \nL 129.141592 144.650802 \nL 129.795971 147.599134 \nL 130.113958 150.328762 \nL 130.149499 152.860489 \nL 129.940225 155.216056 \nL 129.508937 157.416068 \nL 128.865206 159.478813 \nL 128.006791 161.419646 \nL 126.92071 163.250479 \nL 125.583937 164.979226 \nL 123.963772 166.608911 \nL 122.018013 168.136224 \nL 119.695139 169.549238 \nL 116.934881 170.823914 \nL 113.669761 171.918974 \nL 109.828558 172.768589 \nL 107.67024 173.071692 \nL 105.343213 173.272489 \nL 102.841524 173.350997 \nL 100.161456 173.283412 \nL 97.302474 173.04166 \nL 94.268392 172.593043 \nL 91.068825 171.900022 \nL 87.720886 170.920273 \nL 84.251168 169.607165 \nL 80.697911 167.910837 \nL 77.113243 165.780166 \nL 73.565263 163.165828 \nL 70.139625 160.024735 \nL 66.940119 156.326028 \nL 64.087619 152.05851 \nL 61.716699 147.239217 \nL 59.969286 141.922122 \nL 58.984988 136.205548 \nL 58.88835 130.236114 \nL 59.774136 124.206978 \nL 61.692708 118.348371 \nL 64.638427 112.909795 \nL 68.544033 108.135271 \nL 73.283271 104.235398 \nL 78.682172 101.361761 \nL 84.537187 99.589448 \nL 90.6366 98.911602 \nL 96.780861 99.246898 \nL 102.798262 100.457283 \nL 108.554033 102.371167 \nL 113.952848 104.806643 \nL 118.936187 107.590622 \nL 123.476609 110.571678 \nL 127.570794 113.626491 \nL 131.2328 116.661017 \nL 134.488252 119.60812 \nL 137.36977 122.423333 \nL 142.157137 127.564874 \nL 145.89029 132.008953 \nL 151.260907 138.956482 \nL 154.298407 142.737941 \nL 156.155921 144.691039 \nL 158.018042 146.236708 \nL 159.976255 147.397564 \nL 162.102972 148.181614 \nL 164.454657 148.58359 \nL 167.073095 148.586653 \nL 169.984466 148.164686 \nL 173.195952 147.285792 \nL 176.68965 145.917733 \nL 180.413808 144.036369 \nL 184.271939 141.637979 \nL 188.111498 138.755982 \nL 189.959116 137.159116 \nL 191.715541 135.480855 \nL 193.343623 133.744593 \nL 194.803065 131.979285 \nL 196.051452 130.219359 \nL 197.045698 128.504206 \nL 197.743931 126.87712 \nL 198.10775 125.383626 \nL 198.104735 124.069239 \nL 197.71105 122.976717 \nL 196.913846 122.143013 \nL 195.713193 121.596297 \nL 194.123238 121.353375 \nL 192.172305 121.417952 \nL 189.901875 121.78009 \nL 187.364419 122.416967 \nL 184.620313 123.294959 \nL 181.734197 124.372756 \nL 175.793313 126.946257 \nL 170.009887 129.79051 \nL 164.732534 132.638434 \nL 160.166315 135.336385 \nL 156.389853 137.829527 \nL 153.391533 140.125207 \nL 151.106777 142.2573 \nL 149.447537 144.262158 \nL 148.322133 146.166826 \nL 147.646955 147.985771 \nL 147.352336 149.722072 \nL 147.384737 151.370176 \nL 147.706818 152.918568 \nL 148.296448 154.351677 \nL 149.14534 155.650876 \nL 150.257662 156.794583 \nL 151.648816 157.757661 \nL 153.34436 158.510235 \nL 155.378977 159.016006 \nL 157.795221 159.230199 \nL 160.641628 159.097254 \nL 163.969535 158.548553 \nL 167.827652 157.500758 \nL 172.253042 155.855839 \nL 174.683465 154.775594 \nL 177.256738 153.504769 \nL 179.966598 152.029742 \nL 182.801943 150.338113 \nL 185.74565 148.419754 \nL 188.773249 146.268184 \nL 191.851556 143.882281 \nL 194.937295 141.26834 \nL 197.975889 138.44245 \nL 200.90062 135.433046 \nL 203.632402 132.283431 \nL 206.080534 129.053885 \nL 208.144802 125.822859 \nL 209.719257 122.686622 \nL 210.697967 119.756619 \nL 210.982708 117.153966 \nL 210.492236 115.000791 \nL 209.172261 113.408698 \nL 207.004686 112.465602 \nL 204.014314 112.222967 \nL 200.271216 112.686205 \nL 195.887532 113.810892 \nL 191.008559 115.506456 \nL 185.799358 117.647261 \nL 180.429256 120.088929 \nL 169.819838 125.30983 \nL 139.996593 140.625394 \nL 135.922814 142.967605 \nL 132.768436 145.0641 \nL 130.289629 147.035583 \nL 128.275856 148.949165 \nL 125.754211 151.765644 \nL 121.832671 156.279754 \nL 120.089226 157.970972 \nL 118.136664 159.56031 \nL 115.913482 161.017125 \nL 113.363541 162.303166 \nL 110.436095 163.368678 \nL 107.0882 164.147502 \nL 105.246584 164.402858 \nL 103.290268 164.551412 \nL 101.219229 164.57776 \nL 99.03577 164.464468 \nL 96.745133 164.19204 \nL 94.3562 163.738969 \nL 91.88229 163.081942 \nL 89.342026 162.196274 \nL 86.760229 161.056597 \nL 84.168777 159.637934 \nL 81.607349 157.917174 \nL 79.123892 155.875046 \nL 76.774682 153.498585 \nL 74.623755 150.784062 \nL 72.741496 147.740219 \nL 71.202262 144.391512 \nL 70.080835 140.781005 \nL 69.447837 136.97225 \nL 69.364254 133.049612 \nL 69.875634 129.116336 \nL 71.006576 125.290075 \nL 72.756445 121.695714 \nL 75.097132 118.456157 \nL 77.973484 115.682097 \nL 81.306627 113.462288 \nL 84.99981 111.855886 \nL 88.945965 110.888212 \nL 93.035845 110.550544 \nL 97.165538 110.803764 \nL 101.242442 111.584947 \nL 105.18919 112.815579 \nL 108.945459 114.409887 \nL 112.467936 116.282183 \nL 115.728969 118.352499 \nL 118.714388 120.550247 \nL 121.421004 122.816033 \nL 123.854111 125.10203 \nL 126.025214 127.371304 \nL 127.950076 129.596544 \nL 129.647139 131.75854 \nL 132.437787 135.847185 \nL 134.557766 139.589696 \nL 136.157507 142.985291 \nL 137.368153 146.056147 \nL 138.687637 150.122236 \nL 141.864707 160.919873 \nL 142.891222 163.009217 \nL 143.713561 164.222627 \nL 144.681252 165.289559 \nL 145.82815 166.202185 \nL 147.193176 166.947094 \nL 148.821691 167.504103 \nL 150.766766 167.844525 \nL 153.090209 167.928831 \nL 155.863108 167.703582 \nL 159.165353 167.097622 \nL 163.083273 166.017693 \nL 167.703868 164.344112 \nL 173.103306 161.928066 \nL 176.111078 160.387493 \nL 179.326133 158.593774 \nL 182.743415 156.522848 \nL 186.350551 154.151669 \nL 190.125653 151.459985 \nL 194.034798 148.432803 \nL 198.029231 145.063656 \nL 202.042466 141.358741 \nL 205.987557 137.341898 \nL 209.755006 133.060214 \nL 213.211949 128.589726 \nL 216.203504 124.040317 \nL 218.557272 119.558378 \nL 220.091988 115.325409 \nL 220.63104 111.550466 \nL 220.020677 108.454696 \nL 218.151575 106.24761 \nL 214.980415 105.096983 \nL 210.546823 105.09752 \nL 204.980171 106.246208 \nL 198.49215 108.432893 \nL 191.354515 111.451653 \nL 183.866082 115.032218 \nL 168.957098 122.737738 \nL 155.512583 129.674991 \nL 149.625834 132.544737 \nL 144.34114 134.977285 \nL 139.645809 136.999049 \nL 131.870308 140.019905 \nL 123.470693 142.865448 \nL 116.271104 145.277911 \nL 111.442919 147.199419 \nL 107.479161 148.812202 \nL 105.547343 149.437668 \nL 103.569033 149.888235 \nL 101.517675 150.119142 \nL 99.390677 150.085185 \nL 97.208744 149.742996 \nL 95.015922 149.054241 \nL 92.879542 147.990429 \nL 90.888974 146.539484 \nL 89.981463 145.671523 \nL 89.15184 144.713809 \nL 88.415184 143.673094 \nL 87.786531 142.558619 \nL 87.280401 141.38222 \nL 86.910266 140.158346 \nL 86.687982 138.903934 \nL 86.623226 137.638139 \nL 86.722949 136.381914 \nL 86.99092 135.157443 \nL 87.427363 133.987433 \nL 88.028745 132.894305 \nL 88.787725 131.899348 \nL 89.693311 131.021874 \nL 90.731174 130.278456 \nL 91.88414 129.68229 \nL 93.132805 129.242742 \nL 94.456245 128.965122 \nL 95.832747 128.850668 \nL 97.240546 128.896756 \nL 98.658483 129.097282 \nL 100.066579 129.443196 \nL 101.446489 129.923112 \nL 102.781826 130.523961 \nL 104.058354 131.231622 \nL 106.389159 132.909057 \nL 108.368579 134.841448 \nL 109.956815 136.926041 \nL 111.137834 139.076888 \nL 111.911982 141.225842 \nL 112.289316 143.320621 \nL 112.284301 145.32143 \nL 111.912085 147.197151 \nL 111.186299 148.921621 \nL 110.118206 150.470258 \nL 108.717081 151.817066 \nL 106.991722 152.932023 \nL 104.953078 153.778877 \nL 102.618066 154.313508 \nL 100.014615 154.483135 \nL 98.625481 154.41234 \nL 97.187919 154.227019 \nL 95.711453 153.91883 \nL 94.207603 153.479503 \nL 92.690084 152.901143 \nL 91.174976 152.17663 \nL 89.68084 151.300099 \nL 88.228721 150.267521 \nL 86.84205 149.077341 \nL 85.546381 147.731194 \nL 84.368956 146.234643 \nL 83.338048 144.597872 \nL 82.482107 142.836293 \nL 81.828686 140.970951 \nL 81.403191 139.028688 \nL 81.227535 137.041913 \nL 81.318743 135.04796 \nL 81.687686 133.087967 \nL 82.338013 131.205327 \nL 83.265444 129.443743 \nL 83.265444 129.443743 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p66a1344950\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.1128pt\" version=\"1.1\" viewBox=\"0 0 293.288135 285.1128\" width=\"293.288135pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:19:19.611643</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.1128 \nL 293.288135 285.1128 \nL 293.288135 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 34.071442 209.911053 \nL 121.593357 135.901882 \nL 120.643033 29.498337 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 64.951238 219.996394 \nL 150.814352 144.395272 \nL 151.114775 37.222035 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.528025 230.309373 \nL 180.639768 153.064343 \nL 182.244298 45.112462 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 128.825669 240.857783 \nL 211.088553 161.914602 \nL 214.053135 53.175075 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 161.86914 251.649781 \nL 242.180457 170.951791 \nL 246.563767 61.415572 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 34.833527 209.266628 \nL 32.544005 211.202665 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(15.987807 233.204487)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 65.699557 219.337512 \nL 63.451357 221.317016 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(46.899219 243.503514)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 97.261758 229.63554 \nL 95.057341 231.659993 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(85.88208 254.035885)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 129.543953 240.168486 \nL 127.385916 242.239436 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(115.037025 264.80962)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 162.571062 250.94448 \nL 160.462149 253.063547 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(148.12284 275.833112)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 36.679011 84.191251 \nL 41.384589 195.885704 \nL 189.556047 243.4019 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 52.042534 72.979652 \nL 56.017982 183.619703 \nL 202.809336 229.800765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 66.969555 62.086591 \nL 70.253376 171.687314 \nL 215.683462 216.588745 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.478418 51.498684 \nL 84.10679 160.075107 \nL 228.194466 203.749377 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 95.586449 41.203285 \nL 97.593395 148.770368 \nL 240.357498 191.267114 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.310034 31.188438 \nL 110.72757 137.761042 \nL 252.186875 179.127263 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 188.307902 243.00164 \nL 192.055539 244.203447 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(191.786654 264.312879)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 201.573719 229.412036 \nL 205.283695 230.579207 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(204.862086 250.510476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 214.460172 216.211055 \nL 218.133092 217.345066 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(224.934321 237.103174)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 226.983303 203.382263 \nL 230.619768 204.484508 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(234.095765 224.074247)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 239.158266 190.910138 \nL 242.758867 191.981933 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(246.094976 211.407901)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 250.99938 178.78001 \nL 254.564704 179.822599 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(257.764844 199.089208)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.149082 154.000258 \nL 114.938072 113.678255 \nL 26.256507 186.167819 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.028803 134.789398 \nL 114.724319 95.089715 \nL 25.308485 166.481525 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.922293 115.277868 \nL 114.507382 76.224288 \nL 24.345053 146.47524 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.829877 95.458555 \nL 114.287189 57.075741 \nL 23.365833 126.1411 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.751891 75.324119 \nL 114.063666 37.637654 \nL 22.370433 105.470977 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.955062 153.661709 \nL 259.539988 154.678167 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.188225 159.03501)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 256.825161 134.455952 \nL 260.438997 135.457094 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.207714 139.862844)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 257.708873 114.949728 \nL 261.352089 115.934949 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.243109 120.391536)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 258.606519 95.135929 \nL 262.279595 96.1046 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.294788 100.61403)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 259.518432 75.007224 \nL 263.221862 75.958692 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 50 -->\n     <g transform=\"translate(273.363135 80.523046)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_21\">\n    <path clip-path=\"url(#p3d43aded5f)\" d=\"M 140.797496 191.334594 \nL 141.001805 190.52345 \nL 141.488009 189.919231 \nL 142.232715 189.408998 \nL 143.859659 188.652844 \nL 158.20112 182.810515 \nL 163.168004 180.455924 \nL 169.250049 177.297653 \nL 176.619573 173.051005 \nL 180.830924 170.409492 \nL 185.405721 167.354906 \nL 190.340973 163.832921 \nL 195.618564 159.789353 \nL 201.199427 155.174612 \nL 207.016444 149.950489 \nL 212.966156 144.099867 \nL 218.899779 137.639905 \nL 224.614551 130.638724 \nL 229.847228 123.234787 \nL 234.272709 115.656514 \nL 237.511957 108.237113 \nL 239.154163 101.416586 \nL 238.7978 95.720194 \nL 236.111777 91.702661 \nL 230.910758 89.85426 \nL 223.227567 90.48034 \nL 213.35543 93.588302 \nL 201.832519 98.832008 \nL 189.358645 105.554964 \nL 152.97343 126.612094 \nL 142.677733 131.917884 \nL 133.581667 135.94825 \nL 125.65398 138.751168 \nL 118.80288 140.474107 \nL 112.915157 141.301107 \nL 107.87967 141.413131 \nL 103.598714 140.969036 \nL 99.991693 140.100371 \nL 96.994608 138.913587 \nL 94.557544 137.495261 \nL 92.641427 135.91775 \nL 91.214655 134.243945 \nL 90.249939 132.530701 \nL 89.721543 130.830925 \nL 89.603006 129.194347 \nL 89.86545 127.667353 \nL 90.476518 126.292137 \nL 91.399956 125.105434 \nL 92.59582 124.137229 \nL 94.021171 123.409656 \nL 95.631221 122.93627 \nL 97.380674 122.721901 \nL 99.225159 122.763026 \nL 101.12257 123.048655 \nL 103.034215 123.561639 \nL 104.925662 124.280175 \nL 106.767286 125.179425 \nL 108.534491 126.233035 \nL 110.207652 127.414456 \nL 111.771864 128.698064 \nL 113.216499 130.05994 \nL 114.534691 131.478425 \nL 115.722757 132.93439 \nL 117.706277 135.895384 \nL 119.180185 138.840841 \nL 120.175675 141.703332 \nL 120.73051 144.441839 \nL 120.881134 147.033703 \nL 120.657774 149.467764 \nL 120.081809 151.738971 \nL 119.164708 153.844197 \nL 117.908056 155.778876 \nL 116.304363 157.534077 \nL 114.338559 159.093672 \nL 111.990281 160.431266 \nL 109.237265 161.506717 \nL 107.702694 161.928861 \nL 106.060371 162.26215 \nL 104.309606 162.495892 \nL 102.451005 162.617763 \nL 100.486899 162.613743 \nL 98.421834 162.46807 \nL 96.263151 162.163278 \nL 94.021614 161.680347 \nL 91.712114 160.999016 \nL 89.354381 160.098267 \nL 86.973708 158.957092 \nL 84.60158 157.555541 \nL 82.276159 155.876159 \nL 80.042469 153.905759 \nL 77.952206 151.637605 \nL 76.06294 149.073838 \nL 74.43664 146.228068 \nL 73.137361 143.127837 \nL 72.228076 139.816566 \nL 71.766736 136.354603 \nL 71.801791 132.818857 \nL 72.367594 129.300612 \nL 73.480274 125.90136 \nL 75.134676 122.726728 \nL 77.303015 119.878977 \nL 79.935627 117.449003 \nL 82.963869 115.508941 \nL 86.304912 114.106496 \nL 89.867734 113.261933 \nL 93.559518 112.968076 \nL 97.291562 113.193199 \nL 100.984055 113.886115 \nL 104.56931 114.982497 \nL 107.993405 116.41134 \nL 111.216397 118.1008 \nL 114.211452 119.982779 \nL 116.963281 121.996072 \nL 119.466222 124.088114 \nL 121.722263 126.215555 \nL 123.739167 128.343981 \nL 125.528827 130.447104 \nL 127.105865 132.505647 \nL 129.687742 136.439867 \nL 131.619537 140.089167 \nL 133.030143 143.441651 \nL 134.032925 146.509974 \nL 134.722048 149.318232 \nL 135.172342 151.89443 \nL 135.520942 155.384029 \nL 135.589519 158.498045 \nL 135.452983 161.306131 \nL 135.144922 163.864036 \nL 134.668584 166.216484 \nL 134.003104 168.400289 \nL 133.105634 170.446858 \nL 132.346864 171.7487 \nL 131.430055 173.009032 \nL 130.322833 174.234054 \nL 128.985465 175.428447 \nL 127.369533 176.594404 \nL 125.416446 177.730011 \nL 123.055916 178.826648 \nL 120.20466 179.864876 \nL 116.765859 180.808075 \nL 112.630397 181.592791 \nL 107.681697 182.11448 \nL 104.866566 182.227939 \nL 101.807386 182.207261 \nL 98.49464 182.017711 \nL 94.923065 181.617066 \nL 91.093648 180.954634 \nL 87.016187 179.970437 \nL 82.712487 178.594832 \nL 78.220209 176.74887 \nL 73.5973 174.345875 \nL 68.926772 171.294882 \nL 64.321327 167.506642 \nL 59.92697 162.902957 \nL 55.92432 157.429887 \nL 52.525867 151.074752 \nL 49.967272 143.88574 \nL 48.490959 135.991257 \nL 48.32157 127.614099 \nL 49.634864 119.073947 \nL 52.524916 110.771809 \nL 56.977147 103.152904 \nL 62.85593 96.650621 \nL 69.913134 91.622095 \nL 77.818195 88.291539 \nL 86.203225 86.717728 \nL 94.711438 86.795012 \nL 103.036819 88.285948 \nL 110.947356 90.873708 \nL 118.290585 94.218113 \nL 124.98554 98.001691 \nL 131.007415 101.958768 \nL 136.370641 105.887286 \nL 141.114008 109.647457 \nL 148.953652 116.357936 \nL 157.441202 124.103995 \nL 164.685805 130.713441 \nL 168.304013 133.672465 \nL 170.208287 134.969621 \nL 171.850388 135.848279 \nL 173.31221 136.385824 \nL 174.646468 136.642655 \nL 175.882422 136.667694 \nL 177.030583 136.502846 \nL 178.086713 136.186415 \nL 179.462507 135.508996 \nL 180.514137 134.702264 \nL 181.149176 133.898124 \nL 181.302076 133.427383 \nL 181.22232 133.049203 \nL 180.908398 132.791426 \nL 180.37178 132.673493 \nL 179.637122 132.70499 \nL 178.246303 133.02836 \nL 176.652401 133.64392 \nL 175.031826 134.478384 \nL 173.55137 135.443567 \nL 172.347841 136.451379 \nL 171.518551 137.42221 \nL 171.121226 138.286981 \nL 171.109098 138.774668 \nL 171.299755 139.172499 \nL 171.68822 139.465811 \nL 172.265104 139.641281 \nL 173.016667 139.687249 \nL 174.43003 139.493627 \nL 176.109744 138.970609 \nL 177.94071 138.125048 \nL 179.773546 136.998261 \nL 181.426846 135.674796 \nL 182.699961 134.285221 \nL 183.240634 133.403909 \nL 183.477891 132.621332 \nL 183.379013 131.989076 \nL 182.931366 131.550692 \nL 182.14582 131.336488 \nL 181.057412 131.359856 \nL 179.722854 131.616149 \nL 178.215117 132.0843 \nL 175.808458 133.108344 \nL 173.470477 134.39381 \nL 171.433907 135.80153 \nL 169.865427 137.212613 \nL 169.130996 138.107829 \nL 168.664372 138.93938 \nL 168.47159 139.686841 \nL 168.552101 140.331201 \nL 168.900499 140.854103 \nL 169.507612 141.237461 \nL 170.360924 141.463483 \nL 171.444314 141.515101 \nL 172.737165 141.376847 \nL 174.212926 141.036142 \nL 175.837281 140.485098 \nL 177.566137 139.722864 \nL 179.343779 138.758341 \nL 181.101658 137.61316 \nL 182.758495 136.324394 \nL 184.222389 134.946289 \nL 185.395637 133.550082 \nL 186.182641 132.22085 \nL 186.500599 131.050752 \nL 186.464297 130.55365 \nL 186.291638 130.12881 \nL 185.981151 129.784846 \nL 185.534153 129.528674 \nL 184.954838 129.365201 \nL 183.430235 129.324882 \nL 181.494691 129.658322 \nL 179.267987 130.326956 \nL 176.887113 131.26827 \nL 174.489656 132.408243 \nL 172.199474 133.673302 \nL 170.11734 134.998879 \nL 168.317096 136.333324 \nL 166.846588 137.637802 \nL 165.731662 138.883679 \nL 164.981535 140.048976 \nL 164.59421 141.115037 \nL 164.561124 142.063961 \nL 164.870606 142.876943 \nL 165.510085 143.533381 \nL 166.46705 144.010598 \nL 167.728901 144.284025 \nL 169.281765 144.327813 \nL 171.108325 144.115951 \nL 173.184738 143.624038 \nL 175.476709 142.831985 \nL 177.93487 141.727852 \nL 180.489934 140.31303 \nL 183.048342 138.608605 \nL 185.489708 136.662326 \nL 187.667838 134.554717 \nL 189.417465 132.401934 \nL 190.078064 131.35397 \nL 190.568473 130.352291 \nL 190.870311 129.418371 \nL 190.967979 128.573534 \nL 190.849594 127.83803 \nL 190.507813 127.230046 \nL 189.94054 126.764725 \nL 189.151388 126.453297 \nL 188.149873 126.302392 \nL 186.951268 126.31365 \nL 185.576126 126.483645 \nL 182.399797 127.262913 \nL 178.854863 128.530382 \nL 175.190138 130.141681 \nL 171.63253 131.951287 \nL 168.361884 133.837797 \nL 165.501013 135.715175 \nL 163.118626 137.531331 \nL 161.240001 139.259342 \nL 159.860312 140.886882 \nL 158.957161 142.407328 \nL 158.500601 143.813823 \nL 158.460266 145.096029 \nL 158.809869 146.238805 \nL 159.529576 147.221901 \nL 160.606754 148.020071 \nL 162.035488 148.603246 \nL 163.815046 148.936694 \nL 165.947353 148.981237 \nL 168.433327 148.693821 \nL 171.267823 148.028869 \nL 174.432885 146.941139 \nL 177.889001 145.390871 \nL 181.564432 143.352238 \nL 185.343324 140.825883 \nL 189.05454 137.855606 \nL 190.814364 136.234185 \nL 192.465065 134.547375 \nL 193.968483 132.820848 \nL 195.284025 131.085652 \nL 196.369875 129.37788 \nL 197.18463 127.737893 \nL 197.689311 126.208952 \nL 197.849683 124.835304 \nL 197.638716 123.659744 \nL 197.038997 122.72081 \nL 196.044804 122.049868 \nL 194.663559 121.668444 \nL 192.916399 121.586152 \nL 190.837704 121.799654 \nL 188.473517 122.292766 \nL 185.878973 123.037879 \nL 183.115045 123.998485 \nL 177.330545 126.395734 \nL 171.592528 129.142883 \nL 166.272922 131.957212 \nL 161.607405 134.660786 \nL 157.703138 137.176671 \nL 154.570303 139.497444 \nL 152.158583 141.649666 \nL 150.387874 143.667659 \nL 149.169935 145.579209 \nL 148.42171 147.400506 \nL 148.072469 149.136276 \nL 148.06684 150.782112 \nL 148.36542 152.327034 \nL 148.944082 153.755493 \nL 149.792756 155.048449 \nL 150.91407 156.183643 \nL 152.322077 157.135043 \nL 154.041079 157.871756 \nL 156.104444 158.356393 \nL 158.55314 158.543097 \nL 161.433563 158.375351 \nL 164.793989 157.783937 \nL 168.678662 156.685643 \nL 173.118194 154.983926 \nL 175.548316 153.873983 \nL 178.11454 152.573569 \nL 180.808978 151.07012 \nL 183.618698 149.352637 \nL 186.524558 147.412772 \nL 189.499945 145.246252 \nL 192.509484 142.854608 \nL 195.50779 140.247208 \nL 198.438461 137.443569 \nL 201.233484 134.475734 \nL 203.813335 131.390509 \nL 206.088119 128.251193 \nL 207.960044 125.138205 \nL 209.327606 122.1481 \nL 210.09155 119.39026 \nL 210.162581 116.980827 \nL 209.47032 115.033768 \nL 207.972506 113.649581 \nL 205.66304 112.903001 \nL 202.577198 112.831828 \nL 198.792453 113.429324 \nL 194.42407 114.642489 \nL 189.61561 116.37729 \nL 184.525848 118.510295 \nL 179.314347 120.904385 \nL 169.092857 125.954849 \nL 145.617843 138.053468 \nL 140.61022 140.777605 \nL 136.729399 143.114671 \nL 133.726596 145.228431 \nL 131.370244 147.228414 \nL 129.460336 149.175157 \nL 127.077877 152.044239 \nL 123.392526 156.656942 \nL 121.755963 158.397951 \nL 119.920231 160.048434 \nL 117.823902 161.582706 \nL 115.409154 162.968653 \nL 112.621154 164.164053 \nL 109.409461 165.111701 \nL 107.631128 165.469209 \nL 105.732217 165.733497 \nL 103.71014 165.890441 \nL 101.564113 165.923783 \nL 99.295706 165.81497 \nL 96.909514 165.543054 \nL 94.413932 165.084705 \nL 91.822061 164.414391 \nL 89.152681 163.50476 \nL 86.43131 162.32736 \nL 83.691225 160.853739 \nL 80.974379 159.057045 \nL 78.332072 156.914189 \nL 75.825127 154.408626 \nL 73.523417 151.533695 \nL 71.50443 148.296393 \nL 69.850661 144.721262 \nL 68.64566 140.853895 \nL 67.968779 136.763376 \nL 67.888834 132.542884 \nL 68.457274 128.307657 \nL 69.701689 124.189791 \nL 71.620749 120.329897 \nL 74.181593 116.866123 \nL 77.320482 113.922001 \nL 80.946914 111.59499 \nL 84.950755 109.947594 \nL 89.211318 109.002825 \nL 93.606927 108.74453 \nL 98.023545 109.122393 \nL 102.361376 110.06025 \nL 106.538899 111.466072 \nL 110.49439 113.241762 \nL 114.18534 115.291458 \nL 117.586471 117.527603 \nL 120.686959 119.874587 \nL 123.48743 122.270249 \nL 125.997101 124.665789 \nL 128.231252 127.024595 \nL 130.209143 129.320521 \nL 133.483513 133.66013 \nL 136.000143 137.615179 \nL 137.931913 141.178092 \nL 139.432077 144.371517 \nL 141.149867 148.544495 \nL 143.376607 154.134816 \nL 144.702812 156.810461 \nL 145.688931 158.342878 \nL 146.807482 159.680021 \nL 148.101183 160.819033 \nL 149.61456 161.749558 \nL 151.395817 162.452833 \nL 153.498237 162.900296 \nL 155.980965 163.051647 \nL 158.908857 162.852393 \nL 162.350801 162.231012 \nL 166.375537 161.096234 \nL 171.043448 159.335462 \nL 173.631789 158.179593 \nL 176.392078 156.816416 \nL 179.321574 155.227721 \nL 182.412497 153.395806 \nL 185.650585 151.304578 \nL 189.013415 148.941084 \nL 192.468545 146.297509 \nL 195.971527 143.373729 \nL 199.463984 140.180392 \nL 202.871934 136.74247 \nL 206.104728 133.103054 \nL 209.055067 129.32697 \nL 211.60065 125.503568 \nL 213.608051 121.74775 \nL 214.939395 118.198096 \nL 215.46212 115.010934 \nL 215.061535 112.349486 \nL 213.655249 110.368075 \nL 211.207366 109.192742 \nL 207.739704 108.901235 \nL 203.336901 109.506879 \nL 198.143017 110.95105 \nL 192.348973 113.107603 \nL 186.172683 115.799608 \nL 179.835813 118.824818 \nL 167.461155 125.1037 \nL 151.554098 133.154547 \nL 143.28967 137.088047 \nL 127.882702 144.273961 \nL 124.825207 145.994618 \nL 122.335016 147.621312 \nL 119.207586 149.972456 \nL 115.370877 152.918073 \nL 113.349042 154.248803 \nL 111.155611 155.43218 \nL 108.736784 156.419854 \nL 106.055699 157.155163 \nL 103.093892 157.571234 \nL 101.507938 157.635444 \nL 99.855422 157.589373 \nL 98.141493 157.421313 \nL 96.373694 157.118975 \nL 94.562301 156.669682 \nL 92.72066 156.060686 \nL 90.865506 155.279603 \nL 89.01724 154.314999 \nL 87.200119 153.157128 \nL 85.442303 151.798847 \nL 83.775703 150.236672 \nL 82.23559 148.471953 \nL 80.859867 146.512115 \nL 79.687986 144.371832 \nL 78.759496 142.074041 \nL 78.112206 139.650592 \nL 77.780079 137.142374 \nL 77.790949 134.598763 \nL 78.164293 132.076219 \nL 78.909257 129.636047 \nL 80.023232 127.341376 \nL 81.491178 125.2536 \nL 83.285844 123.428564 \nL 85.368974 121.91301 \nL 87.693357 120.741642 \nL 90.205528 119.935224 \nL 92.848832 119.499901 \nL 95.56649 119.427806 \nL 98.304368 119.698745 \nL 101.013212 120.282738 \nL 103.650234 121.142936 \nL 106.179994 122.238641 \nL 108.574663 123.528029 \nL 110.813777 124.970417 \nL 112.883617 126.527938 \nL 114.77637 128.166642 \nL 116.489173 129.857077 \nL 118.023147 131.574437 \nL 119.382485 133.298393 \nL 120.573613 135.012747 \nL 121.604485 136.704945 \nL 123.221349 139.987799 \nL 124.306783 143.100138 \nL 124.930653 146.022939 \nL 125.152467 148.753938 \nL 125.018249 151.299889 \nL 124.559552 153.671319 \nL 123.793696 155.879015 \nL 122.724625 157.931558 \nL 121.344034 159.833337 \nL 119.632606 161.582624 \nL 117.561419 163.169359 \nL 115.093749 164.572266 \nL 112.187697 165.755023 \nL 108.800362 166.661212 \nL 106.91412 166.985934 \nL 104.894594 167.207985 \nL 102.739803 167.311685 \nL 100.449773 167.278788 \nL 98.027223 167.08832 \nL 95.478381 166.716482 \nL 92.813932 166.136705 \nL 90.050102 165.319901 \nL 87.209837 164.235004 \nL 84.324038 162.849908 \nL 81.432746 161.132926 \nL 78.586151 159.054844 \nL 75.845228 156.591712 \nL 73.281709 153.728359 \nL 70.97716 150.462542 \nL 69.020785 146.809519 \nL 67.505731 142.806555 \nL 66.523771 138.516626 \nL 66.158496 134.030449 \nL 66.477468 129.465815 \nL 67.524281 124.963332 \nL 69.311678 120.678287 \nL 71.817103 116.768871 \nL 74.981833 113.382129 \nL 78.714292 110.639743 \nL 82.897313 108.626096 \nL 87.398257 107.380958 \nL 92.080325 106.897995 \nL 96.813179 107.129185 \nL 101.481408 107.993878 \nL 105.989968 109.39041 \nL 110.266475 111.207978 \nL 114.260863 113.337003 \nL 117.943179 115.676841 \nL 121.300339 118.140485 \nL 124.332573 120.656631 \nL 127.050027 123.169647 \nL 129.46978 125.638203 \nL 131.613404 128.033206 \nL 135.169992 132.533557 \nL 137.920573 136.59843 \nL 140.05744 140.224428 \nL 142.477186 144.906331 \nL 145.48652 151.014818 \nL 146.611016 152.960969 \nL 147.797981 154.655276 \nL 149.105946 156.107387 \nL 150.588775 157.317902 \nL 152.298687 158.277954 \nL 154.288543 158.968456 \nL 156.61327 159.358955 \nL 159.330212 159.406123 \nL 162.497975 159.052005 \nL 166.173051 158.222478 \nL 170.403126 156.826729 \nL 172.736055 155.884012 \nL 175.215466 154.759395 \nL 177.838553 153.438658 \nL 180.598451 151.908093 \nL 183.483154 150.155351 \nL 186.474272 148.170581 \nL 189.545677 145.947884 \nL 192.662065 143.487141 \nL 195.777573 140.796216 \nL 198.83456 137.893437 \nL 201.762825 134.810263 \nL 204.479513 131.593848 \nL 206.890097 128.309118 \nL 208.890804 125.039808 \nL 210.372869 121.887706 \nL 211.228827 118.969468 \nL 211.360814 116.410299 \nL 210.690372 114.334366 \nL 209.168726 112.852389 \nL 206.785993 112.047867 \nL 203.577329 111.964248 \nL 199.624265 112.596002 \nL 195.050091 113.88622 \nL 190.009459 115.732239 \nL 184.673772 117.99861 \nL 179.215065 120.534843 \nL 168.535735 125.848326 \nL 139.07999 140.94867 \nL 135.095921 143.240819 \nL 132.006007 145.301181 \nL 129.566075 147.245724 \nL 127.567185 149.136847 \nL 125.027704 151.920097 \nL 121.832298 155.502059 \nL 120.09986 157.196283 \nL 118.177002 158.792474 \nL 116.00022 160.259699 \nL 113.512617 161.55997 \nL 110.663545 162.644687 \nL 107.410558 163.450058 \nL 105.622717 163.722605 \nL 103.724364 163.891821 \nL 101.715339 163.943098 \nL 99.597681 163.85996 \nL 97.376174 163.623995 \nL 95.059005 163.214921 \nL 92.658493 162.610759 \nL 90.191895 161.788226 \nL 87.682229 160.723358 \nL 85.159081 159.392463 \nL 82.659312 157.773465 \nL 80.227523 155.847673 \nL 77.916154 153.602031 \nL 75.785049 151.031768 \nL 73.900267 148.143359 \nL 72.332001 144.957561 \nL 71.151481 141.512148 \nL 70.426863 137.863855 \nL 70.218285 134.088961 \nL 70.572489 130.281934 \nL 71.517608 126.551761 \nL 73.058876 123.015821 \nL 75.176051 119.791739 \nL 77.823198 116.988015 \nL 80.931081 114.694807 \nL 84.41202 112.976243 \nL 88.166549 111.865588 \nL 92.090898 111.363975 \nL 96.084219 111.442817 \nL 100.05464 112.049178 \nL 103.923533 113.113008 \nL 107.627843 114.554918 \nL 111.120619 116.293352 \nL 114.37016 118.250383 \nL 117.358235 120.355723 \nL 120.077855 122.549022 \nL 122.530928 124.780675 \nL 124.726055 127.011551 \nL 126.676588 129.212021 \nL 128.399008 131.360626 \nL 131.233548 135.44871 \nL 133.381582 139.215086 \nL 134.988518 142.649961 \nL 136.182665 145.769918 \nL 137.071474 148.60302 \nL 138.016898 152.382857 \nL 139.05119 157.662839 \nL 139.915244 161.951127 \nL 140.508865 164.13501 \nL 141.236653 166.055722 \nL 142.163762 167.720166 \nL 142.929736 168.684378 \nL 143.845327 169.525464 \nL 144.942967 170.233204 \nL 146.261409 170.792407 \nL 147.847026 171.181514 \nL 149.755151 171.370634 \nL 152.051322 171.318915 \nL 154.812185 170.971076 \nL 158.12554 170.252966 \nL 162.088639 169.066255 \nL 166.803161 167.282683 \nL 172.364299 164.739327 \nL 175.485491 163.122042 \nL 178.839941 161.238127 \nL 182.425913 159.058997 \nL 186.234235 156.556281 \nL 190.24583 153.703619 \nL 194.428772 150.479295 \nL 198.734944 146.869814 \nL 203.096389 142.874633 \nL 207.4217 138.512049 \nL 211.592868 133.826128 \nL 215.463418 128.894146 \nL 218.858828 123.83357 \nL 221.580605 118.806879 \nL 223.415412 114.02185 \nL 224.150465 109.724386 \nL 223.595478 106.181204 \nL 221.609733 103.650965 \nL 218.130495 102.345738 \nL 213.196362 102.389093 \nL 206.957862 103.781684 \nL 199.669099 106.386803 \nL 191.659022 109.944585 \nL 183.287878 114.114392 \nL 152.150001 130.434192 \nL 145.824828 133.426913 \nL 140.190468 135.876075 \nL 135.218545 137.829098 \nL 130.85909 139.356604 \nL 127.051752 140.536103 \nL 120.842064 142.137735 \nL 114.183146 143.451914 \nL 104.476007 145.012284 \nL 102.100914 145.254929 \nL 99.966808 145.239888 \nL 98.633975 145.051552 \nL 97.371063 144.702103 \nL 96.193396 144.183455 \nL 95.127644 143.496496 \nL 94.208217 142.652695 \nL 93.473297 141.675324 \nL 92.960394 140.599882 \nL 92.701615 139.473326 \nL 92.718985 138.35179 \nL 93.020509 137.296699 \nL 93.597529 136.369566 \nL 94.424033 135.626148 \nL 95.458088 135.110945 \nL 96.645238 134.853013 \nL 97.92326 134.863841 \nL 99.227456 135.137547 \nL 100.495581 135.653115 \nL 101.671747 136.378004 \nL 102.708954 137.272242 \nL 103.570216 138.292331 \nL 104.228521 139.394369 \nL 104.665996 140.536228 \nL 104.872637 141.678733 \nL 104.844964 142.786055 \nL 104.584869 143.825519 \nL 104.098796 144.767059 \nL 103.39737 145.582569 \nL 102.495503 146.245273 \nL 101.412937 146.729379 \nL 100.175175 147.010066 \nL 98.814644 147.064041 \nL 97.371917 146.870771 \nL 95.896665 146.414512 \nL 94.448021 145.687186 \nL 93.093789 144.691931 \nL 91.908153 143.447017 \nL 90.967416 141.989382 \nL 90.343783 140.376842 \nL 90.097575 138.687787 \nL 90.268971 137.017369 \nL 90.516496 136.221668 \nL 90.870812 135.469893 \nL 91.328544 134.774732 \nL 91.884294 134.148014 \nL 92.530762 133.600325 \nL 93.258927 133.140702 \nL 94.058291 132.776355 \nL 94.917189 132.512499 \nL 96.763101 132.29663 \nL 98.692827 132.493366 \nL 100.605146 133.073636 \nL 102.409815 133.986341 \nL 104.032827 135.167209 \nL 105.418409 136.547153 \nL 106.528369 138.058755 \nL 107.339703 139.640369 \nL 107.8414 141.237999 \nL 108.031171 142.805404 \nL 107.912633 144.303099 \nL 107.493224 145.696713 \nL 106.782963 146.955097 \nL 105.794099 148.048502 \nL 104.541632 148.946951 \nL 103.044644 149.619028 \nL 101.328389 150.031208 \nL 99.427015 150.148047 \nL 97.386688 149.933472 \nL 95.268763 149.353575 \nL 93.152328 148.381282 \nL 91.135203 147.003051 \nL 90.199229 146.163241 \nL 89.332218 145.227348 \nL 88.550239 144.201382 \nL 87.869437 143.093822 \nL 87.30558 141.915781 \nL 86.873552 140.681084 \nL 86.586767 139.406208 \nL 86.456598 138.110088 \nL 86.491792 136.813745 \nL 86.697941 135.539766 \nL 87.077069 134.311613 \nL 87.627328 133.15283 \nL 88.342886 132.08615 \nL 89.213991 131.1326 \nL 90.227244 130.310655 \nL 91.366038 129.635494 \nL 92.611168 129.118466 \nL 93.941538 128.766722 \nL 95.334938 128.58313 \nL 96.768819 128.566405 \nL 98.221023 128.711454 \nL 99.670424 129.009892 \nL 101.097448 129.450651 \nL 102.48447 130.020679 \nL 103.816049 130.705602 \nL 105.079068 131.490379 \nL 107.358439 133.299193 \nL 109.261908 135.332056 \nL 110.758372 137.488486 \nL 111.838736 139.68658 \nL 112.5083 141.862714 \nL 112.78021 143.968802 \nL 112.670478 145.96849 \nL 112.194648 147.833153 \nL 111.365963 149.538147 \nL 110.194892 151.059446 \nL 108.689837 152.370706 \nL 106.858979 153.44066 \nL 104.713268 154.23099 \nL 102.270636 154.694727 \nL 99.561501 154.775664 \nL 98.121563 154.652693 \nL 96.635542 154.409383 \nL 95.113917 154.037007 \nL 93.569329 153.527004 \nL 92.016791 152.871335 \nL 90.473853 152.062925 \nL 88.960677 151.096217 \nL 87.500019 149.967809 \nL 86.11706 148.677175 \nL 84.83906 147.227425 \nL 83.694817 145.626083 \nL 82.713897 143.885805 \nL 81.925623 142.024946 \nL 81.357873 140.067904 \nL 81.035686 138.045128 \nL 80.979823 135.992715 \nL 81.205317 133.9515 \nL 81.720208 131.965668 \nL 82.524571 130.080896 \nL 83.60998 128.342169 \nL 84.959501 126.791416 \nL 86.548242 125.465221 \nL 88.344457 124.39281 \nL 90.311099 123.594594 \nL 92.407662 123.081344 \nL 94.592163 122.854145 \nL 96.823041 122.905009 \nL 99.06085 123.218111 \nL 101.269621 123.771411 \nL 103.417809 124.538504 \nL 105.478854 125.490439 \nL 107.431371 126.597405 \nL 109.259018 127.830131 \nL 110.95015 129.160976 \nL 112.497305 130.564681 \nL 113.896617 132.018796 \nL 115.147187 133.503871 \nL 116.250477 135.00344 \nL 117.209739 136.503862 \nL 118.715141 139.465245 \nL 119.707478 142.324818 \nL 120.233718 145.045838 \nL 120.336498 147.609161 \nL 120.049935 150.006096 \nL 119.397626 152.232937 \nL 118.392135 154.28679 \nL 117.035506 156.16223 \nL 115.320528 157.848359 \nL 113.232706 159.325884 \nL 110.753106 160.563934 \nL 107.86246 161.516482 \nL 106.2583 161.866193 \nL 104.547135 162.118385 \nL 102.729553 162.261269 \nL 100.807757 162.281428 \nL 98.786044 162.163754 \nL 96.671346 161.891501 \nL 94.473835 161.446408 \nL 92.20759 160.808974 \nL 89.891293 159.958921 \nL 87.548908 158.875887 \nL 85.210317 157.540421 \nL 82.911789 155.93528 \nL 80.696216 154.047123 \nL 78.612964 151.868518 \nL 76.717215 149.400263 \nL 75.068641 146.653853 \nL 73.729312 143.653843 \nL 72.760784 140.43984 \nL 72.220434 137.067649 \nL 72.15723 133.60917 \nL 72.60732 130.150633 \nL 73.589949 126.788936 \nL 75.104303 123.626161 \nL 77.12786 120.76261 \nL 79.616695 118.289188 \nL 82.507839 116.28012 \nL 85.723522 114.787133 \nL 89.176709 113.835971 \nL 92.777213 113.425743 \nL 96.437522 113.53112 \nL 100.077662 114.106749 \nL 103.628697 115.093063 \nL 107.034667 116.422542 \nL 110.253134 118.02546 \nL 113.254599 119.834627 \nL 116.021154 121.788746 \nL 118.544725 123.834446 \nL 120.825167 125.927125 \nL 122.868439 128.030899 \nL 124.68494 130.117946 \nL 126.288102 132.167528 \nL 127.69323 134.16486 \nL 129.974628 137.966866 \nL 131.658993 141.485242 \nL 132.86643 144.717632 \nL 133.70015 147.680671 \nL 134.244218 150.399396 \nL 134.564104 152.90125 \nL 134.726418 156.305163 \nL 134.598145 159.360567 \nL 134.232068 162.133451 \nL 133.639955 164.677038 \nL 132.800984 167.034385 \nL 132.081103 168.520138 \nL 131.208006 169.947635 \nL 130.153458 171.324202 \nL 128.882167 172.655382 \nL 127.350761 173.944179 \nL 125.506595 175.189707 \nL 123.286475 176.385008 \nL 120.615572 177.513581 \nL 117.40693 178.544043 \nL 113.562417 179.422069 \nL 108.97659 180.058552 \nL 106.372849 180.244853 \nL 103.546 180.31286 \nL 100.486509 180.233279 \nL 97.188145 179.970549 \nL 93.649566 179.481977 \nL 89.876348 178.716995 \nL 85.88354 177.616682 \nL 81.698769 176.113804 \nL 77.365851 174.133722 \nL 72.948818 171.596584 \nL 68.535997 168.421448 \nL 64.243617 164.532852 \nL 60.218049 159.870443 \nL 56.63541 154.401858 \nL 53.697026 148.138408 \nL 51.619189 141.152012 \nL 50.61618 133.590272 \nL 50.876763 125.685125 \nL 52.536522 117.749611 \nL 55.65083 110.158179 \nL 60.175167 103.309309 \nL 65.959562 97.57466 \nL 72.761127 93.245022 \nL 80.273555 90.486747 \nL 88.166924 89.320832 \nL 96.127983 89.630075 \nL 103.891604 91.190809 \nL 111.258188 93.718394 \nL 118.096811 96.913628 \nL 124.337788 100.499857 \nL 129.959678 104.245864 \nL 134.975191 107.974891 \nL 139.418759 111.563188 \nL 146.781634 118.039825 \nL 152.460874 123.417499 \nL 163.067023 133.719129 \nL 165.379773 135.690128 \nL 167.398492 137.131348 \nL 169.243398 138.124877 \nL 170.998377 138.732012 \nL 172.716859 138.998897 \nL 174.42638 138.96182 \nL 176.131936 138.652057 \nL 177.818506 138.100252 \nL 179.453165 137.340414 \nL 180.987405 136.413285 \nL 182.360172 135.36876 \nL 183.502295 134.266826 \nL 184.342612 133.176488 \nL 184.815772 132.172186 \nL 184.871143 131.32775 \nL 184.732527 130.986475 \nL 184.481498 130.708563 \nL 184.119429 130.499526 \nL 183.078226 130.302615 \nL 181.661334 130.40848 \nL 179.94971 130.804029 \nL 178.044059 131.454101 \nL 176.053558 132.308618 \nL 173.138254 133.850138 \nL 170.570836 135.54353 \nL 169.159687 136.683131 \nL 168.035939 137.791693 \nL 167.221418 138.84284 \nL 166.725438 139.814553 \nL 166.548426 140.687116 \nL 166.685021 141.44151 \nL 167.126309 142.058391 \nL 167.861141 142.517608 \nL 168.876492 142.798221 \nL 170.156916 142.87897 \nL 171.683176 142.739215 \nL 173.430121 142.360455 \nL 175.36393 141.728468 \nL 177.438926 140.836316 \nL 179.594344 139.688107 \nL 181.751632 138.303431 \nL 183.813192 136.721965 \nL 185.663718 135.007223 \nL 187.175418 133.247967 \nL 188.218109 131.555438 \nL 188.525859 130.773125 \nL 188.674256 130.054781 \nL 188.653623 129.415788 \nL 188.457398 128.870293 \nL 188.08264 128.430552 \nL 187.530373 128.106354 \nL 186.805795 127.904512 \nL 185.918269 127.828535 \nL 184.881117 127.878462 \nL 182.428297 128.339423 \nL 179.612905 129.225554 \nL 176.622213 130.44202 \nL 173.639336 131.882023 \nL 170.822372 133.445787 \nL 168.292319 135.052491 \nL 166.130205 136.643908 \nL 164.381113 138.181714 \nL 163.062004 139.641653 \nL 162.170557 141.007298 \nL 161.693215 142.264951 \nL 161.61155 143.400245 \nL 161.906739 144.396201 \nL 162.562232 145.232358 \nL 163.564891 145.884539 \nL 164.904834 146.324959 \nL 166.574131 146.52262 \nL 168.564413 146.444038 \nL 170.863365 146.054503 \nL 173.450012 145.320326 \nL 176.288745 144.212457 \nL 179.322212 142.71209 \nL 182.463557 140.818608 \nL 185.589196 138.559882 \nL 188.534276 136.003919 \nL 191.094063 133.269333 \nL 192.157109 131.887319 \nL 193.035266 130.529985 \nL 193.698966 129.226509 \nL 194.120727 128.007671 \nL 194.27662 126.90461 \nL 194.14781 125.947305 \nL 193.722015 125.162909 \nL 192.994767 124.574001 \nL 191.970299 124.197033 \nL 190.661942 124.041054 \nL 189.091933 124.106991 \nL 187.290588 124.387568 \nL 185.294911 124.867905 \nL 183.14674 125.526731 \nL 178.571603 127.273534 \nL 173.915738 129.400661 \nL 169.480795 131.696876 \nL 165.48555 134.004936 \nL 162.059189 136.23152 \nL 159.254119 138.336117 \nL 157.067488 140.311377 \nL 155.463041 142.16471 \nL 154.388993 143.905569 \nL 153.790731 145.538663 \nL 153.618853 147.061471 \nL 153.833619 148.464152 \nL 154.406939 149.730374 \nL 155.322744 150.838168 \nL 156.576363 151.760382 \nL 158.173248 152.464621 \nL 160.127142 152.912754 \nL 162.457601 153.060141 \nL 165.18656 152.854934 \nL 168.33344 152.237923 \nL 171.90811 151.143697 \nL 175.900857 149.504286 \nL 180.268612 147.256939 \nL 182.566216 145.890392 \nL 184.917096 144.35813 \nL 187.298018 142.661364 \nL 189.679904 140.805781 \nL 192.027307 138.802704 \nL 194.298086 136.670291 \nL 196.443398 134.434678 \nL 198.40817 132.130891 \nL 200.132156 129.803376 \nL 201.55175 127.505867 \nL 202.602608 125.300341 \nL 203.22311 123.254872 \nL 203.358567 121.440209 \nL 202.965849 119.925166 \nL 202.018017 118.77108 \nL 200.508336 118.025957 \nL 198.453004 117.71909 \nL 195.891947 117.857165 \nL 192.887322 118.422681 \nL 189.519705 119.375205 \nL 185.882354 120.655512 \nL 182.07435 122.191899 \nL 174.330581 125.728372 \nL 166.95696 129.43254 \nL 160.398843 132.932257 \nL 154.86522 136.067119 \nL 150.382106 138.832758 \nL 146.863498 141.302084 \nL 144.17054 143.564937 \nL 142.150783 145.696373 \nL 140.660217 147.74672 \nL 139.57353 149.743412 \nL 138.787258 151.697122 \nL 138.219076 153.608223 \nL 137.640551 156.384005 \nL 137.157289 159.882787 \nL 136.14599 168.134378 \nL 135.597641 170.664862 \nL 135.039295 172.428952 \nL 134.302444 174.098635 \nL 133.32395 175.693918 \nL 132.019233 177.235487 \nL 130.91335 178.243092 \nL 129.569426 179.240171 \nL 127.934843 180.229241 \nL 125.945679 181.208966 \nL 123.524789 182.171326 \nL 120.580053 183.097098 \nL 117.003365 183.948758 \nL 112.671475 184.659498 \nL 107.450777 185.116696 \nL 104.465376 185.196764 \nL 101.209846 185.137904 \nL 97.672452 184.901032 \nL 93.846149 184.438197 \nL 89.730955 183.691294 \nL 85.33702 182.590981 \nL 80.688498 181.056076 \nL 75.828285 178.993845 \nL 70.823526 176.301857 \nL 65.771612 172.872175 \nL 60.805977 168.598926 \nL 56.100611 163.390236 \nL 51.871427 157.185303 \nL 48.372203 149.976433 \nL 45.882397 141.834271 \nL 44.684676 132.931955 \nL 45.031856 123.561054 \nL 47.106328 114.130178 \nL 50.979475 105.137995 \nL 56.582194 97.117648 \nL 63.697958 90.559402 \nL 71.984861 85.829022 \nL 81.023766 83.105491 \nL 90.379933 82.357623 \nL 99.660937 83.366183 \nL 108.556584 85.781688 \nL 116.85483 89.19729 \nL 124.436705 93.215369 \nL 131.258348 97.493862 \nL 137.328816 101.76863 \nL 142.689763 105.855927 \nL 151.523795 113.069794 \nL 168.839159 127.581556 \nL 173.271198 130.925121 \nL 176.916598 133.593371 \nL 177.066784 133.966003 \nL 176.921257 134.298396 \nL 176.293381 134.887091 \nL 175.136234 135.962483 \nL 174.764767 136.582176 \nL 174.795118 136.949795 \nL 175.022365 137.114246 \nL 175.575325 137.153685 \nL 176.349223 136.972367 \nL 177.459685 136.457888 \nL 178.470499 135.725148 \nL 179.010018 135.105321 \nL 179.176318 134.581506 \nL 179.016698 134.318102 \nL 178.616656 134.203741 \nL 178.010036 134.254402 \nL 176.984218 134.570113 \nL 175.880101 135.115067 \nL 174.682685 135.974036 \nL 174.066004 136.670296 \nL 173.872519 137.128453 \nL 173.932533 137.488031 \nL 174.245688 137.716228 \nL 174.793108 137.787807 \nL 175.821514 137.614194 \nL 177.064883 137.133242 \nL 178.339712 136.39249 \nL 179.428147 135.496636 \nL 179.988382 134.815478 \nL 180.240751 134.211089 \nL 180.211956 133.887972 \nL 180.018462 133.651056 \nL 179.664289 133.514516 \nL 178.863222 133.514574 \nL 177.812329 133.759451 \nL 176.216399 134.414036 \nL 174.667403 135.325187 \nL 173.430492 136.338247 \nL 172.826302 137.0732 \nL 172.555631 137.722602 \nL 172.572003 138.082836 \nL 172.746753 138.369319 \nL 173.075631 138.57033 \nL 173.838209 138.690111 \nL 174.881086 138.570398 \nL 176.135828 138.200318 \nL 177.510775 137.588422 \nL 178.891101 136.768325 \nL 180.142668 135.802952 \nL 181.122082 134.784674 \nL 181.694341 133.828427 \nL 181.796774 133.285992 \nL 181.654085 132.859057 \nL 181.263019 132.574812 \nL 180.635784 132.45149 \nL 179.799885 132.496587 \nL 178.247138 132.869212 \nL 176.495083 133.55736 \nL 174.736693 134.474948 \nL 173.150597 135.523337 \nL 171.879451 136.607474 \nL 171.021283 137.643819 \nL 170.707441 138.272545 \nL 170.609669 138.829584 \nL 170.729262 139.297831 \nL 171.062475 139.661387 \nL 171.601105 139.905499 \nL 172.332695 140.016786 \nL 173.240342 139.98372 \nL 174.882504 139.645011 \nL 176.77111 138.949652 \nL 178.771497 137.914729 \nL 180.710059 136.598943 \nL 182.379173 135.111772 \nL 183.231855 134.10255 \nL 183.802497 133.145022 \nL 184.038344 132.299524 \nL 183.903556 131.623506 \nL 183.692115 131.364584 \nL 182.985473 131.028024 \nL 181.92652 130.95023 \nL 180.56928 131.133456 \nL 178.98898 131.560022 \nL 176.395423 132.579336 \nL 173.807788 133.917581 \nL 171.495831 135.417746 \nL 169.656865 136.945251 \nL 168.755235 137.926202 \nL 168.13625 138.847938 \nL 167.807941 139.689133 \nL 167.770803 140.430222 \nL 168.020043 141.052338 \nL 168.547135 141.536651 \nL 169.340602 141.864179 \nL 170.386021 142.016037 \nL 171.665283 141.974101 \nL 173.155181 141.722167 \nL 174.825444 141.247635 \nL 176.636384 140.543794 \nL 178.536456 139.612699 \nL 180.460158 138.468533 \nL 182.326941 137.14114 \nL 184.041917 135.678992 \nL 185.499318 134.150678 \nL 186.589459 132.643545 \nL 187.209425 131.258387 \nL 187.316106 130.644376 \nL 187.276695 130.099566 \nL 187.086437 129.635319 \nL 186.743543 129.26143 \nL 186.249431 128.985689 \nL 185.608855 128.813537 \nL 184.829885 128.747825 \nL 182.904342 128.933686 \nL 180.593162 129.514017 \nL 178.044747 130.426275 \nL 175.415852 131.588616 \nL 172.852974 132.915293 \nL 170.478779 134.328906 \nL 168.38532 135.767122 \nL 166.633572 137.183865 \nL 165.257396 138.546687 \nL 164.269742 139.832446 \nL 163.669296 141.022984 \nL 163.446346 142.101667 \nL 163.587357 143.051074 \nL 164.078054 143.851697 \nL 164.905091 144.481383 \nL 166.056444 144.915298 \nL 167.52067 145.126263 \nL 169.285092 145.085533 \nL 171.332982 144.764088 \nL 173.639707 144.134746 \nL 176.167918 143.175406 \nL 178.861979 141.873744 \nL 181.642122 140.233604 \nL 184.399353 138.282873 \nL 186.992753 136.082 \nL 189.251555 133.731113 \nL 190.984739 131.372489 \nL 191.593507 130.244964 \nL 192.000216 129.184283 \nL 192.185418 128.21527 \nL 192.133541 127.361963 \nL 191.833978 126.64641 \nL 191.28201 126.087444 \nL 190.479504 125.699523 \nL 189.435275 125.491813 \nL 188.165053 125.467532 \nL 186.691007 125.623785 \nL 185.040866 125.951789 \nL 181.343426 127.063102 \nL 177.354121 128.648421 \nL 173.351152 130.532173 \nL 169.569989 132.555091 \nL 166.181668 134.597717 \nL 163.289572 136.585522 \nL 160.939158 138.480866 \nL 159.133594 140.26966 \nL 157.849805 141.948811 \nL 157.051902 143.517222 \nL 156.70104 144.970683 \nL 156.761873 146.29965 \nL 157.206251 147.488727 \nL 158.014877 148.516879 \nL 159.177513 149.35776 \nL 160.692113 149.979885 \nL 162.563087 150.346572 \nL 164.798648 150.415862 \nL 167.40707 150.140655 \nL 170.391478 149.469651 \nL 173.742705 148.349757 \nL 177.429756 146.731015 \nL 181.387648 144.575314 \nL 185.503073 141.87011 \nL 187.567575 140.319184 \nL 189.599719 138.647825 \nL 191.565805 136.871027 \nL 193.427345 135.009598 \nL 195.14147 133.090731 \nL 196.661724 131.148279 \nL 197.939349 129.222608 \nL 198.925102 127.359889 \nL 199.571604 125.610679 \nL 199.836144 124.027726 \nL 199.683775 122.663045 \nL 199.090448 121.564401 \nL 198.045835 120.771512 \nL 196.555436 120.312434 \nL 194.641597 120.20064 \nL 192.343157 120.433343 \nL 189.713618 120.991436 \nL 186.817984 121.841177 \nL 183.728589 122.937446 \nL 180.520467 124.228085 \nL 174.035138 127.1768 \nL 167.86251 130.297897 \nL 162.345097 133.321698 \nL 157.657767 136.117755 \nL 153.8407 138.662114 \nL 150.846249 140.988526 \nL 148.580929 143.148494 \nL 146.935573 145.187988 \nL 145.803978 147.138339 \nL 145.092819 149.01557 \nL 144.725861 150.823502 \nL 144.644792 152.557633 \nL 144.808275 154.20845 \nL 145.190265 155.763634 \nL 145.778194 157.209238 \nL 146.57135 158.529984 \nL 147.579631 159.708878 \nL 148.822673 160.726319 \nL 150.329325 161.558757 \nL 152.137358 162.176955 \nL 154.293199 162.54384 \nL 156.851391 162.611938 \nL 159.873323 162.320434 \nL 163.424454 161.592086 \nL 167.568906 160.33056 \nL 172.35974 158.419404 \nL 175.007245 157.178922 \nL 177.822519 155.725063 \nL 180.800192 154.040278 \nL 183.929261 152.108089 \nL 187.191564 149.914363 \nL 190.560053 147.449034 \nL 193.996941 144.708303 \nL 197.451792 141.697368 \nL 200.859776 138.433654 \nL 204.140344 134.950353 \nL 207.196706 131.30004 \nL 209.916607 127.557794 \nL 212.174985 123.823085 \nL 213.839031 120.219463 \nL 214.776121 116.890869 \nL 214.864612 113.993631 \nL 214.006953 111.683647 \nL 212.143672 110.099364 \nL 209.265916 109.342511 \nL 205.423696 109.460305 \nL 200.727067 110.433456 \nL 195.338674 112.174183 \nL 189.458148 114.536066 \nL 183.301092 117.334424 \nL 170.97052 123.466893 \nL 154.623418 131.804467 \nL 145.952916 136.024777 \nL 129.609547 143.76089 \nL 126.385873 145.566762 \nL 123.793266 147.259014 \nL 120.608854 149.70052 \nL 115.863637 153.51972 \nL 113.837835 154.887615 \nL 111.623433 156.10683 \nL 109.167091 157.129284 \nL 106.431131 157.898001 \nL 103.395343 158.344788 \nL 101.764538 158.422539 \nL 100.061552 158.388132 \nL 98.291282 158.229206 \nL 96.461101 157.932643 \nL 94.581215 157.484786 \nL 92.665062 156.871737 \nL 90.729683 156.079806 \nL 88.796062 155.096108 \nL 86.889367 153.909359 \nL 85.039065 152.510845 \nL 83.278825 150.895576 \nL 81.646143 149.063599 \nL 80.181616 147.021385 \nL 78.927819 144.783197 \nL 77.927752 142.37228 \nL 77.222841 139.821705 \nL 76.850601 137.174619 \nL 76.842098 134.483739 \nL 77.219406 131.809902 \nL 77.993344 129.219629 \nL 79.161815 126.781765 \nL 80.708976 124.563477 \nL 82.60547 122.625945 \nL 84.809731 121.020276 \nL 87.270315 119.784193 \nL 89.928959 118.939838 \nL 92.724046 118.493064 \nL 95.594058 118.434178 \nL 98.48067 118.739922 \nL 101.331201 119.376422 \nL 104.10032 120.302541 \nL 106.750928 121.473297 \nL 109.254365 122.842906 \nL 111.590029 124.367265 \nL 113.744621 126.005739 \nL 115.711157 127.722292 \nL 117.487876 129.486014 \nL 119.077164 131.271187 \nL 120.484544 133.057027 \nL 121.717786 134.827234 \nL 122.786138 136.569399 \nL 124.468865 139.935963 \nL 125.615108 143.11359 \nL 126.301866 146.087497 \nL 126.594391 148.859574 \nL 126.543327 151.440428 \nL 126.184019 153.844204 \nL 125.536986 156.085282 \nL 124.60894 158.176048 \nL 123.393942 160.125286 \nL 121.874541 161.936661 \nL 120.022857 163.607008 \nL 117.801785 165.124064 \nL 115.166622 166.463299 \nL 112.067671 167.583548 \nL 110.32841 168.042721 \nL 108.454659 168.421109 \nL 106.441269 168.705994 \nL 104.284238 168.882238 \nL 101.981244 168.931993 \nL 99.532301 168.834443 \nL 96.940562 168.56559 \nL 94.21329 168.098148 \nL 91.362986 167.401611 \nL 88.408675 166.442561 \nL 85.377314 165.18536 \nL 82.305258 163.593338 \nL 79.239634 161.630615 \nL 76.239488 159.264714 \nL 73.376391 156.470079 \nL 70.734202 153.232457 \nL 68.407612 149.554053 \nL 66.49905 145.459061 \nL 65.113682 140.9989 \nL 64.352444 136.256141 \nL 64.303385 131.345938 \nL 65.032122 126.413707 \nL 66.572705 121.628114 \nL 68.920501 117.169258 \nL 72.0288 113.212969 \nL 75.810266 109.9134 \nL 80.143543 107.386944 \nL 84.884103 105.700556 \nL 89.877484 104.86684 \nL 94.972595 104.846671 \nL 100.032927 105.558312 \nL 104.944274 106.890746 \nL 109.618501 108.718277 \nL 113.993829 110.913812 \nL 118.032556 113.359098 \nL 121.717282 115.951284 \nL 125.046634 118.605976 \nL 128.031121 121.257541 \nL 130.689505 123.857572 \nL 133.045845 126.37238 \nL 136.961959 131.068281 \nL 140.004673 135.266572 \nL 142.38941 138.968071 \nL 145.9172 145.034028 \nL 148.042189 148.588577 \nL 149.416154 150.552241 \nL 150.853836 152.217589 \nL 152.425305 153.595158 \nL 154.19292 154.684322 \nL 156.214474 155.472956 \nL 158.545197 155.936877 \nL 161.238385 156.039139 \nL 164.344242 155.729323 \nL 167.906337 154.943359 \nL 171.954769 153.604762 \nL 174.16441 152.701867 \nL 176.494845 151.628829 \nL 178.940068 150.375334 \nL 181.490028 148.932191 \nL 184.129734 147.292172 \nL 186.838283 145.451054 \nL 189.587846 143.408928 \nL 192.342689 141.171712 \nL 195.058323 138.752881 \nL 197.680932 136.1753 \nL 200.147254 133.472998 \nL 202.385164 130.692673 \nL 204.31516 127.894549 \nL 205.853026 125.152217 \nL 206.913808 122.550997 \nL 207.417155 120.184403 \nL 207.293769 118.148534 \nL 206.49251 116.534487 \nL 204.987262 115.419402 \nL 202.782503 114.857325 \nL 199.916362 114.871462 \nL 196.460204 115.449565 \nL 192.514347 116.543826 \nL 188.200208 118.075768 \nL 183.650097 119.945452 \nL 178.996281 122.04329 \nL 169.849584 126.507219 \nL 157.77592 132.756074 \nL 148.536429 137.760869 \nL 143.920073 140.477228 \nL 140.339827 142.864181 \nL 137.588185 145.052153 \nL 135.46595 147.132384 \nL 133.797818 149.15782 \nL 132.436738 151.152647 \nL 130.714234 154.097532 \nL 127.970968 158.825638 \nL 126.724226 160.626371 \nL 125.308768 162.360903 \nL 123.672164 164.018639 \nL 121.760717 165.586253 \nL 119.517663 167.045061 \nL 116.882294 168.367401 \nL 113.790391 169.511706 \nL 110.176681 170.41591 \nL 108.154752 170.750909 \nL 105.980455 170.988885 \nL 103.64864 171.112179 \nL 101.156155 171.099933 \nL 98.50262 170.927741 \nL 95.691403 170.567374 \nL 92.730801 169.986614 \nL 89.635416 169.149321 \nL 86.427773 168.015821 \nL 83.140055 166.543772 \nL 79.815916 164.689693 \nL 76.512198 162.411347 \nL 73.300263 159.671175 \nL 70.266607 156.44089 \nL 67.512302 152.707237 \nL 65.150711 148.478686 \nL 63.303004 143.792409 \nL 62.091125 138.720606 \nL 61.628271 133.374627 \nL 62.00745 127.905251 \nL 63.289497 122.497484 \nL 65.492461 117.358987 \nL 68.584707 112.702506 \nL 72.483711 108.724393 \nL 77.06159 105.58283 \nL 82.156848 103.38011 \nL 87.590341 102.152748 \nL 93.182389 101.871467 \nL 98.767956 102.450451 \nL 104.207601 103.763307 \nL 109.393252 105.6617 \nL 114.249177 107.993014 \nL 118.729348 110.614278 \nL 122.812713 113.401195 \nL 126.497715 116.252444 \nL 129.797016 119.090197 \nL 132.732928 121.858121 \nL 135.333766 124.518061 \nL 139.657686 129.430073 \nL 143.028254 133.749661 \nL 146.824532 139.158874 \nL 150.571771 144.650649 \nL 152.225015 146.774256 \nL 153.884116 148.531804 \nL 155.637912 149.943496 \nL 157.56055 151.016208 \nL 159.715182 151.743731 \nL 162.156176 152.107054 \nL 164.929541 152.074827 \nL 168.071145 151.604301 \nL 171.602219 150.643433 \nL 175.521516 149.135143 \nL 179.793543 147.025293 \nL 182.037546 145.73186 \nL 184.332701 144.276249 \nL 186.65736 142.659788 \nL 188.984334 140.887917 \nL 191.280405 138.97127 \nL 193.506028 136.926785 \nL 195.615307 134.778783 \nL 197.556396 132.559842 \nL 199.27245 130.311328 \nL 200.703237 128.083331 \nL 201.787508 125.933821 \nL 202.466143 123.926763 \nL 202.685971 122.129125 \nL 202.404055 120.606739 \nL 201.592026 119.419299 \nL 200.239941 118.614938 \nL 198.359045 118.225166 \nL 195.982877 118.260943 \nL 193.166304 118.710779 \nL 189.982399 119.541352 \nL 186.517454 120.70078 \nL 182.864795 122.124034 \nL 175.366099 125.476685 \nL 168.144089 129.066627 \nL 161.656705 132.514404 \nL 156.136901 135.63865 \nL 151.635416 138.413603 \nL 148.086263 140.897027 \nL 145.364691 143.170673 \nL 143.32733 145.306554 \nL 141.835699 147.354726 \nL 140.767815 149.343385 \nL 140.02239 151.284048 \nL 139.518868 153.177587 \nL 139.086239 155.918404 \nL 138.917319 158.518883 \nL 138.958949 161.732634 \nL 139.222093 164.629112 \nL 139.689575 167.194019 \nL 140.195765 168.895298 \nL 140.872142 170.400399 \nL 141.769972 171.699015 \nL 142.525976 172.441077 \nL 143.439173 173.074238 \nL 144.543111 173.585956 \nL 145.878644 173.958799 \nL 147.49528 174.16878 \nL 149.452637 174.183116 \nL 151.821875 173.957208 \nL 154.686788 173.430651 \nL 158.144023 172.522111 \nL 162.301375 171.123064 \nL 167.272344 169.090928 \nL 173.163938 166.243156 \nL 176.481122 164.444966 \nL 180.05288 162.356191 \nL 183.877149 159.944355 \nL 187.943269 157.177226 \nL 192.229038 154.024987 \nL 196.697216 150.463409 \nL 201.291507 146.478248 \nL 205.932213 142.071041 \nL 210.511926 137.266359 \nL 214.891913 132.12031 \nL 218.900147 126.729575 \nL 222.33244 121.239625 \nL 224.958348 115.849777 \nL 226.533688 110.811873 \nL 226.821046 106.418768 \nL 225.618262 102.979292 \nL 222.792357 100.778778 \nL 218.312988 100.029074 \nL 212.276354 100.818347 \nL 204.909785 103.076263 \nL 196.550747 106.570048 \nL 187.602031 110.938752 \nL 178.474195 115.758434 \nL 161.054908 125.18308 \nL 153.229362 129.228086 \nL 146.149955 132.640968 \nL 139.841032 135.402585 \nL 134.278313 137.557486 \nL 129.408722 139.185152 \nL 125.165372 140.377534 \nL 121.477521 141.224407 \nL 118.276488 141.805402 \nL 113.08715 142.421693 \nL 109.167356 142.604056 \nL 104.971681 142.50484 \nL 102.138209 142.224609 \nL 99.680708 141.7354 \nL 98.483893 141.309382 \nL 97.678639 140.844214 \nL 97.186574 140.359622 \nL 96.960384 139.886448 \nL 96.964578 139.462774 \nL 97.163544 139.127827 \nL 97.515503 138.915409 \nL 97.971128 138.848359 \nL 98.64492 138.997143 \nL 99.274091 139.39421 \nL 99.742506 139.97427 \nL 99.965057 140.643869 \nL 99.896903 141.29751 \nL 99.652634 141.714717 \nL 99.258803 142.025655 \nL 98.744014 142.198292 \nL 98.14886 142.209917 \nL 97.52406 142.049744 \nL 96.927487 141.721483 \nL 96.419692 141.245397 \nL 96.057885 140.659079 \nL 95.888746 140.015974 \nL 95.941224 139.380975 \nL 96.220818 138.823109 \nL 96.706945 138.406281 \nL 97.35448 138.179969 \nL 98.099359 138.172116 \nL 98.867017 138.385815 \nL 99.581744 138.80025 \nL 100.175046 139.375064 \nL 100.591721 140.056494 \nL 100.793391 140.783711 \nL 100.759885 141.494154 \nL 100.489268 142.127529 \nL 99.997344 142.628745 \nL 99.317102 142.95032 \nL 98.498124 143.054977 \nL 97.605563 142.918987 \nL 96.717834 142.536324 \nL 95.922071 141.9232 \nL 95.306536 141.121718 \nL 94.95 140.200741 \nL 94.909356 139.25201 \nL 95.070986 138.65577 \nL 95.381311 138.125174 \nL 95.828969 137.688998 \nL 96.394729 137.371284 \nL 97.052718 137.189538 \nL 97.772201 137.153575 \nL 98.893211 137.374602 \nL 99.96348 137.899757 \nL 100.880272 138.672233 \nL 101.561269 139.615399 \nL 101.949096 140.643639 \nL 102.011887 141.670598 \nL 101.868338 142.313767 \nL 101.579523 142.897128 \nL 101.152778 143.39959 \nL 100.599559 143.801769 \nL 99.935485 144.086198 \nL 99.180465 144.237694 \nL 98.358796 144.243924 \nL 97.499189 144.0962 \nL 96.634529 143.790498 \nL 95.801278 143.328658 \nL 95.038381 142.71962 \nL 94.385562 141.98051 \nL 93.881014 141.137283 \nL 93.558605 140.224666 \nL 93.444819 139.285111 \nL 93.555826 138.366583 \nL 93.895197 137.519335 \nL 94.452631 136.791853 \nL 95.204128 136.22663 \nL 96.11359 135.856393 \nL 97.135723 135.70139 \nL 98.219739 135.7682 \nL 99.313329 136.050143 \nL 100.366275 136.529031 \nL 101.333327 137.177822 \nL 102.176109 137.963567 \nL 102.864049 138.850248 \nL 103.374484 139.801096 \nL 103.692186 140.780217 \nL 103.808579 141.75361 \nL 103.72089 142.689562 \nL 103.431413 143.558687 \nL 102.94701 144.333673 \nL 102.278929 144.988979 \nL 101.442947 145.500612 \nL 100.459807 145.8461 \nL 99.35586 146.00483 \nL 98.16379 145.958829 \nL 96.923222 145.694066 \nL 95.680948 145.202353 \nL 94.490489 144.483728 \nL 93.410655 143.549115 \nL 92.502844 142.422901 \nL 91.826997 141.144769 \nL 91.436318 139.770143 \nL 91.371383 138.368473 \nL 91.654456 137.018983 \nL 92.285206 135.80402 \nL 93.238878 134.800819 \nL 94.467595 134.073126 \nL 95.904744 133.664404 \nL 97.471698 133.594035 \nL 99.085521 133.857118 \nL 100.666261 134.427588 \nL 102.142685 135.263561 \nL 103.455843 136.313518 \nL 104.560488 137.522065 \nL 105.424686 138.834451 \nL 106.028264 140.199517 \nL 106.360684 141.571115 \nL 106.418854 142.908361 \nL 106.205257 144.175035 \nL 105.726597 145.338532 \nL 104.993091 146.368618 \nL 104.018445 147.236234 \nL 102.820485 147.912544 \nL 101.422394 148.368414 \nL 99.854445 148.574449 \nL 98.156055 148.501894 \nL 96.377857 148.124565 \nL 94.58335 147.422018 \nL 92.849527 146.38408 \nL 91.265737 145.016483 \nL 89.929907 143.347023 \nL 89.386306 142.415178 \nL 88.941691 141.430934 \nL 88.60714 140.405959 \nL 88.392451 139.353759 \nL 88.305748 138.289479 \nL 88.35309 137.22963 \nL 88.538129 136.191668 \nL 88.861845 135.193519 \nL 89.322375 134.253017 \nL 89.914946 133.387307 \nL 90.631941 132.612249 \nL 91.463077 131.941835 \nL 92.395724 131.387727 \nL 93.415301 130.958855 \nL 94.505759 130.661195 \nL 95.650096 130.497654 \nL 96.830899 130.468149 \nL 98.030844 130.569785 \nL 99.233172 130.797169 \nL 100.422068 131.142795 \nL 102.702821 132.15081 \nL 104.775167 133.508354 \nL 106.567337 135.123549 \nL 108.032561 136.908273 \nL 109.145125 138.784317 \nL 109.895252 140.68591 \nL 110.28396 142.559527 \nL 110.31866 144.362056 \nL 110.009848 146.058175 \nL 109.368998 147.617497 \nL 108.407621 149.011798 \nL 107.137444 150.212521 \nL 105.571636 151.18864 \nL 103.727033 151.904983 \nL 101.627348 152.321252 \nL 99.307312 152.391978 \nL 96.817537 152.067984 \nL 94.229674 151.299991 \nL 92.928261 150.735592 \nL 91.640983 150.045093 \nL 90.384423 149.22576 \nL 89.17688 148.276679 \nL 88.038189 147.199248 \nL 86.989426 145.997664 \nL 86.052475 144.679393 \nL 85.249462 143.255587 \nL 84.602037 141.741382 \nL 84.130558 140.156038 \nL 83.853181 138.52287 \nL 83.784899 136.868908 \nL 83.936642 135.224268 \nL 84.314452 133.621236 \nL 84.918871 132.093076 \nL 85.744569 130.672663 \nL 86.780304 129.390989 \nL 88.009196 128.275711 \nL 89.409359 127.349839 \nL 90.954807 126.630715 \nL 92.616577 126.129349 \nL 94.363975 125.850162 \nL 96.165828 125.791203 \nL 97.991675 125.944713 \nL 99.812773 126.297981 \nL 101.602911 126.834424 \nL 103.33897 127.534734 \nL 105.001257 128.377995 \nL 106.573603 129.34273 \nL 108.0433 130.407748 \nL 109.400878 131.552834 \nL 110.639794 132.759241 \nL 111.756053 134.009991 \nL 113.614975 136.586267 \nL 114.981612 139.184236 \nL 115.876451 141.734267 \nL 116.327175 144.188955 \nL 116.361953 146.516881 \nL 116.005124 148.696842 \nL 115.274834 150.712931 \nL 114.182248 152.5504 \nL 112.731952 154.19218 \nL 110.923456 155.615729 \nL 108.753747 156.790072 \nL 106.22108 157.672981 \nL 104.819715 157.988218 \nL 103.330317 158.208354 \nL 101.755717 158.323892 \nL 100.100185 158.3243 \nL 98.369784 158.198065 \nL 96.572756 157.932798 \nL 94.719926 157.515439 \nL 92.825128 156.932558 \nL 90.905606 156.170793 \nL 88.982386 155.217441 \nL 87.080562 154.061232 \nL 85.229433 152.693288 \nL 83.462455 151.108265 \nL 81.81692 149.305642 \nL 80.333289 147.291119 \nL 79.054131 145.077998 \nL 78.022622 142.688407 \nL 77.280619 140.154196 \nL 76.86636 137.517294 \nL 76.811944 134.829291 \nL 77.140773 132.150126 \nL 77.865256 129.545783 \nL 78.985042 127.085036 \nL 80.486085 124.835502 \nL 82.34072 122.859358 \nL 84.508858 121.209194 \nL 86.940179 119.924576 \nL 89.577132 119.029714 \nL 92.358347 118.532521 \nL 95.222134 118.425195 \nL 98.10963 118.686063 \nL 100.967341 119.282433 \nL 103.748945 120.173904 \nL 106.416283 121.315817 \nL 108.939637 122.662353 \nL 111.29742 124.169089 \nL 113.475459 125.794879 \nL 115.466023 127.503067 \nL 117.266747 129.262075 \nL 118.879548 131.04554 \nL 120.3096 132.832077 \nL 121.564429 134.604843 \nL 122.65313 136.350969 \nL 124.37259 139.728168 \nL 125.550359 142.918241 \nL 126.263996 145.904976 \nL 126.579597 148.689463 \nL 126.548763 151.281923 \nL 126.20779 153.696376 \nL 125.578101 155.947246 \nL 124.667236 158.047089 \nL 123.470018 160.004942 \nL 121.969681 161.824818 \nL 120.138964 163.504016 \nL 117.941301 165.030891 \nL 115.332414 166.381755 \nL 112.262831 167.516581 \nL 110.539402 167.984611 \nL 108.682183 168.37321 \nL 106.685923 168.669929 \nL 104.546465 168.859936 \nL 102.261258 168.925725 \nL 99.830009 168.846849 \nL 97.255454 168.599704 \nL 94.544317 168.157411 \nL 91.708416 167.489844 \nL 88.765927 166.563918 \nL 85.742791 165.344234 \nL 82.67416 163.794173 \nL 79.605806 161.87767 \nL 76.595296 159.56171 \nL 73.712675 156.819717 \nL 71.040363 153.635865 \nL 68.671845 150.010132 \nL 66.708798 145.963822 \nL 65.256334 141.54486 \nL 64.416256 136.831949 \nL 64.278586 131.936356 \nL 64.912064 127.00009 \nL 66.354894 122.189487 \nL 68.607314 117.683946 \nL 71.627669 113.660595 \nL 75.33327 110.276983 \nL 79.606385 107.654653 \nL 84.304665 105.86682 \nL 89.274205 104.932598 \nL 94.362948 104.818689 \nL 99.432232 105.447872 \nL 104.36496 106.711938 \nL 109.069845 108.486291 \nL 113.48205 110.64346 \nL 117.561176 113.063795 \nL 121.287608 115.642439 \nL 124.658269 118.292754 \nL 127.682431 120.946936 \nL 130.378018 123.554647 \nL 132.768572 126.080592 \nL 136.743208 130.804322 \nL 139.831168 135.032682 \nL 142.248937 138.763155 \nL 145.81273 144.879679 \nL 147.944714 148.46604 \nL 149.316192 150.448954 \nL 150.746675 152.132742 \nL 152.306796 153.528614 \nL 154.05926 154.636661 \nL 156.062057 155.445496 \nL 158.370546 155.931733 \nL 161.038177 156.059258 \nL 164.115474 155.778527 \nL 167.646677 155.026313 \nL 171.66315 153.726803 \nL 173.857053 152.845548 \nL 176.172406 151.795516 \nL 178.603688 150.566273 \nL 181.141451 149.148418 \nL 183.771426 147.534385 \nL 186.473568 145.719455 \nL 189.221032 143.703039 \nL 191.979186 141.490156 \nL 194.704737 139.093155 \nL 197.345106 136.533524 \nL 199.838247 133.843706 \nL 202.113095 131.068655 \nL 204.09094 128.266799 \nL 205.687904 125.510059 \nL 206.818758 122.882422 \nL 207.402067 120.476692 \nL 207.366549 118.389136 \nL 206.65812 116.712158 \nL 205.246885 115.525419 \nL 203.132958 114.886651 \nL 200.349915 114.823592 \nL 196.964914 115.32886 \nL 193.074888 116.35916 \nL 188.799135 117.839556 \nL 184.269311 119.672177 \nL 179.618458 121.747836 \nL 170.434348 126.206438 \nL 158.240663 132.504241 \nL 148.866393 137.566865 \nL 144.171669 140.31063 \nL 140.527011 142.714911 \nL 137.72507 144.912528 \nL 135.565239 146.997581 \nL 133.870236 149.025358 \nL 132.491001 151.021636 \nL 130.7538 153.968887 \nL 128.009072 158.703684 \nL 126.767558 160.508052 \nL 125.360089 162.246674 \nL 123.734144 163.908967 \nL 121.836084 165.48171 \nL 119.609308 166.946469 \nL 116.993331 168.276027 \nL 113.924142 169.429528 \nL 110.336553 170.345974 \nL 108.328913 170.688691 \nL 106.169637 170.935762 \nL 103.853463 171.069805 \nL 101.377059 171.070284 \nL 98.739793 170.913148 \nL 95.944685 170.570552 \nL 92.999562 170.010687 \nL 89.91843 169.197818 \nL 86.723047 168.092638 \nL 83.444659 166.65309 \nL 80.125803 164.835832 \nL 76.822029 162.598527 \nL 73.603273 159.903176 \nL 70.554555 156.720595 \nL 67.775521 153.03606 \nL 65.378348 148.855913 \nL 63.483471 144.21453 \nL 62.212801 139.180716 \nL 61.68044 133.86207 \nL 61.981395 128.405659 \nL 63.179627 122.99337 \nL 65.297265 117.830931 \nL 68.30731 113.130892 \nL 72.131886 109.091425 \nL 76.64712 105.874512 \nL 81.694379 103.587754 \nL 87.095877 102.273706 \nL 92.67177 101.908934 \nL 98.255563 102.412495 \nL 103.705468 103.661352 \nL 108.910644 105.508872 \nL 113.792568 107.802621 \nL 118.302682 110.398671 \nL 122.417829 113.171054 \nL 126.134818 116.016472 \nL 129.465111 118.855113 \nL 132.430202 121.628843 \nL 135.057887 124.297991 \nL 139.427492 129.234122 \nL 142.83277 133.580569 \nL 146.662214 139.028967 \nL 150.425108 144.567293 \nL 152.076723 146.71222 \nL 153.729215 148.490518 \nL 155.472172 149.92303 \nL 157.380337 151.017309 \nL 159.517385 151.767817 \nL 161.938224 152.156206 \nL 164.689548 152.15173 \nL 167.808207 151.712132 \nL 171.316902 150.785581 \nL 175.216582 149.314741 \nL 179.474908 147.244397 \nL 181.715579 145.970825 \nL 184.010595 144.53459 \nL 186.339028 142.936452 \nL 188.674469 141.181143 \nL 190.984507 139.278446 \nL 193.230394 137.244325 \nL 195.366957 135.10201 \nL 197.342955 132.882932 \nL 199.101906 130.627327 \nL 200.583631 128.384278 \nL 201.726506 126.210993 \nL 202.470513 124.171083 \nL 202.761018 122.331708 \nL 202.553029 120.759581 \nL 201.815592 119.516002 \nL 200.535789 118.651441 \nL 198.721736 118.200289 \nL 196.403955 118.176698 \nL 193.634733 118.572295 \nL 190.485255 119.356473 \nL 187.040829 120.479272 \nL 183.394752 121.876647 \nL 179.641705 123.477099 \nL 172.164551 127.005026 \nL 165.193073 130.580482 \nL 159.087476 133.90893 \nL 153.994468 136.884534 \nL 149.905519 139.527209 \nL 146.722043 141.911908 \nL 144.306323 144.119667 \nL 142.514104 146.214133 \nL 141.212367 148.235785 \nL 140.287228 150.205034 \nL 139.645977 152.128179 \nL 139.215976 154.003185 \nL 138.850548 156.711966 \nL 138.702092 160.094544 \nL 138.797809 163.178645 \nL 139.074603 165.94432 \nL 139.532569 168.385479 \nL 140.020983 170.001604 \nL 140.671552 171.429579 \nL 141.53524 172.6601 \nL 142.263322 173.362291 \nL 143.143903 173.960454 \nL 144.209915 174.442563 \nL 145.501503 174.791872 \nL 147.067396 174.985323 \nL 148.96642 174.991363 \nL 151.269014 174.767014 \nL 154.058504 174.25395 \nL 157.431609 173.373415 \nL 161.497239 172.019906 \nL 166.371878 170.054016 \nL 172.168684 167.295776 \nL 175.442302 165.551353 \nL 178.975634 163.521982 \nL 182.76925 161.174378 \nL 186.815797 158.474854 \nL 191.097144 155.391277 \nL 195.58093 151.895973 \nL 200.216548 147.969853 \nL 204.930668 143.607953 \nL 209.622659 138.826525 \nL 214.160417 133.671588 \nL 218.377566 128.228382 \nL 222.073351 122.630526 \nL 225.016944 117.066822 \nL 226.95813 111.782473 \nL 227.64612 107.070805 \nL 226.857054 103.251537 \nL 224.428472 100.633543 \nL 220.295604 99.464434 \nL 214.52063 99.87593 \nL 207.304131 101.840566 \nL 198.970511 105.15727 \nL 189.926482 109.477016 \nL 180.602104 114.365235 \nL 162.60648 124.154927 \nL 154.46141 128.421817 \nL 147.071963 132.041819 \nL 140.475564 134.977794 \nL 134.654419 137.266197 \nL 129.557343 138.985691 \nL 125.116632 140.231769 \nL 121.25943 141.099726 \nL 117.914533 141.675164 \nL 115.015964 142.030005 \nL 110.327976 142.295689 \nL 106.804574 142.215022 \nL 104.153384 141.964509 \nL 101.359261 141.458335 \nL 99.565084 140.909182 \nL 98.465106 140.374025 \nL 97.866038 139.887189 \nL 97.63832 139.479435 \nL 97.685859 139.179832 \nL 97.928632 139.011902 \nL 98.431584 139.014413 \nL 98.995923 139.269705 \nL 99.484986 139.732752 \nL 99.792705 140.32617 \nL 99.85178 140.954182 \nL 99.637588 141.51682 \nL 99.307042 141.840016 \nL 98.855065 142.042013 \nL 98.12499 142.082592 \nL 97.351034 141.839379 \nL 96.66214 141.328971 \nL 96.279901 140.808675 \nL 96.065574 140.219985 \nL 96.051247 139.620518 \nL 96.248704 139.073766 \nL 96.646134 138.641044 \nL 97.20836 138.372894 \nL 97.880843 138.301861 \nL 98.596687 138.438261 \nL 99.285058 138.769759 \nL 99.879274 139.264334 \nL 100.323239 139.875426 \nL 100.575591 140.547754 \nL 100.611754 141.222638 \nL 100.424481 141.842235 \nL 100.023614 142.352734 \nL 99.435584 142.70691 \nL 98.702761 142.866657 \nL 97.882518 142.80596 \nL 97.045229 142.514533 \nL 96.270502 142.001856 \nL 95.640837 141.300672 \nL 95.232571 140.468361 \nL 95.104913 139.584541 \nL 95.289084 138.743605 \nL 95.58441 138.254987 \nL 96.006215 137.854998 \nL 96.5365 137.565493 \nL 97.48155 137.37124 \nL 98.517928 137.483338 \nL 99.540009 137.889139 \nL 100.447884 138.544733 \nL 101.157708 139.384135 \nL 101.607589 140.32935 \nL 101.759505 141.298838 \nL 101.598704 142.213344 \nL 101.320388 142.75583 \nL 100.912982 143.221011 \nL 100.387671 143.590572 \nL 99.759664 143.848152 \nL 98.668405 143.994615 \nL 97.472835 143.823814 \nL 96.274957 143.322229 \nL 95.532574 142.810067 \nL 94.877805 142.169923 \nL 94.346684 141.422788 \nL 93.972217 140.597678 \nL 93.781709 139.731027 \nL 93.794082 138.865085 \nL 94.017568 138.045388 \nL 94.448191 137.317403 \nL 95.069343 136.7228 \nL 95.852671 136.29585 \nL 96.760164 136.060575 \nL 97.747148 136.029006 \nL 98.76577 136.200882 \nL 99.768426 136.56461 \nL 100.710693 137.099222 \nL 101.553533 137.776908 \nL 102.264604 138.565589 \nL 102.818791 139.431244 \nL 103.1981 140.339726 \nL 103.391153 141.257989 \nL 103.392506 142.154781 \nL 103.201967 143.000904 \nL 102.824077 143.769189 \nL 102.267818 144.4343 \nL 101.546601 144.97259 \nL 100.678514 145.362037 \nL 99.686788 145.5825 \nL 98.600347 145.616285 \nL 97.454327 145.449186 \nL 96.290314 145.071997 \nL 95.156091 144.482463 \nL 94.104583 143.687569 \nL 93.191781 142.705779 \nL 92.473518 141.568867 \nL 92.001129 140.322695 \nL 91.816391 139.026338 \nL 91.946363 137.749132 \nL 92.399086 136.56555 \nL 93.161067 135.548417 \nL 94.197274 134.761492 \nL 95.453895 134.252814 \nL 96.863428 134.050125 \nL 98.351188 134.159247 \nL 99.842008 134.565474 \nL 101.266049 135.237374 \nL 102.562952 136.131905 \nL 103.684117 137.199715 \nL 104.59321 138.389727 \nL 105.265381 139.652472 \nL 105.685698 140.9421 \nL 105.847286 142.2172 \nL 105.749576 143.44071 \nL 105.396901 144.579266 \nL 104.797631 145.602217 \nL 103.963879 146.480631 \nL 102.911826 147.186412 \nL 101.662575 147.691747 \nL 100.243512 147.969027 \nL 98.689964 147.991477 \nL 97.046943 147.734624 \nL 95.370624 147.178836 \nL 93.729041 146.312966 \nL 92.2014 145.139024 \nL 90.875341 143.677385 \nL 89.841616 141.971614 \nL 89.186062 140.091557 \nL 89.023112 139.1152 \nL 88.979479 138.133014 \nL 89.05989 137.160185 \nL 89.266862 136.212583 \nL 89.600483 135.306316 \nL 90.058309 134.457251 \nL 90.635327 133.680479 \nL 91.324053 132.989823 \nL 92.114706 132.397364 \nL 92.995502 131.913047 \nL 93.953012 131.544381 \nL 94.972587 131.296258 \nL 96.038799 131.170893 \nL 97.135914 131.167892 \nL 98.248309 131.28443 \nL 100.45936 131.854338 \nL 102.562746 132.820989 \nL 104.469462 134.107551 \nL 106.113455 135.631223 \nL 107.450733 137.311939 \nL 108.456098 139.077769 \nL 109.118805 140.867245 \nL 109.438181 142.62936 \nL 109.419822 144.322085 \nL 109.072749 145.91016 \nL 108.407613 147.362612 \nL 107.435976 148.650324 \nL 106.170607 149.74386 \nL 104.626764 150.611647 \nL 102.824393 151.218657 \nL 100.791205 151.525835 \nL 98.566501 151.490589 \nL 96.205473 151.068783 \nL 93.783472 150.218852 \nL 92.579502 149.622652 \nL 91.399244 148.908549 \nL 90.258843 148.075552 \nL 89.175807 147.124594 \nL 88.168768 146.058951 \nL 87.257139 144.884628 \nL 86.460668 143.61073 \nL 85.798862 142.249729 \nL 85.290321 140.817621 \nL 84.95199 139.333931 \nL 84.798356 137.821481 \nL 84.840668 136.305966 \nL 85.086203 134.815262 \nL 85.537678 133.378532 \nL 86.19284 132.025118 \nL 87.044294 130.783346 \nL 88.079607 129.67927 \nL 89.281687 128.73552 \nL 90.629421 127.970309 \nL 92.098535 127.396691 \nL 93.66257 127.022183 \nL 95.293962 126.848668 \nL 96.965073 126.872711 \nL 98.649148 127.08611 \nL 100.321117 127.476673 \nL 101.958231 128.029142 \nL 103.54048 128.726142 \nL 105.050826 129.549104 \nL 106.475278 130.479098 \nL 107.802792 131.497519 \nL 109.025087 132.586636 \nL 111.133019 134.912545 \nL 112.776768 137.343667 \nL 113.958065 139.792545 \nL 114.692889 142.195167 \nL 115.00357 144.506312 \nL 114.913072 146.694263 \nL 114.44135 148.735815 \nL 113.603431 150.611849 \nL 112.408933 152.303573 \nL 110.862803 153.789236 \nL 108.967137 155.041156 \nL 106.724188 156.023035 \nL 104.140667 156.687566 \nL 102.725921 156.882561 \nL 101.233631 156.974618 \nL 99.668805 156.954121 \nL 98.038158 156.810707 \nL 96.350443 156.53339 \nL 94.616799 156.110791 \nL 92.851094 155.531434 \nL 91.070239 154.78419 \nL 89.294471 153.858825 \nL 87.547521 152.746718 \nL 85.856664 151.441699 \nL 84.252581 149.94106 \nL 82.768979 148.246615 \nL 81.441929 146.365851 \nL 80.308852 144.312998 \nL 79.407185 142.109942 \nL 78.772693 139.786826 \nL 78.437541 137.382139 \nL 78.428207 134.94221 \nL 78.76343 132.519951 \nL 79.452406 130.172819 \nL 80.493444 127.960107 \nL 81.873303 125.939672 \nL 83.567352 124.1645 \nL 85.54057 122.679417 \nL 87.749378 121.518347 \nL 90.144046 120.702475 \nL 92.671475 120.239494 \nL 95.278019 120.123992 \nL 97.912085 120.338874 \nL 100.526272 120.85756 \nL 103.078932 121.646624 \nL 105.535107 122.668518 \nL 107.866895 123.88414 \nL 110.053306 125.254996 \nL 112.079781 126.744847 \nL 113.937456 128.320844 \nL 115.622309 129.95416 \nL 117.134268 131.620232 \nL 118.476356 133.298694 \nL 119.653897 134.973085 \nL 120.673824 136.630453 \nL 122.27315 139.857091 \nL 123.341919 142.927655 \nL 123.945372 145.819084 \nL 124.13964 148.525533 \nL 123.96831 151.050611 \nL 123.461175 153.402051 \nL 122.634286 155.587992 \nL 121.490705 157.614279 \nL 120.021625 159.482252 \nL 118.207728 161.186531 \nL 116.020868 162.712522 \nL 113.426323 164.033206 \nL 110.386157 165.105041 \nL 108.687466 165.528252 \nL 106.864456 165.862743 \nL 104.914297 166.095941 \nL 102.835541 166.213119 \nL 100.628649 166.19721 \nL 98.296621 166.028666 \nL 95.845739 165.685407 \nL 93.286442 165.142879 \nL 90.634284 164.374319 \nL 87.911008 163.351258 \nL 85.145638 162.044408 \nL 82.375523 160.424975 \nL 79.647224 158.466528 \nL 77.017047 156.147477 \nL 74.551022 153.454188 \nL 72.324063 150.384649 \nL 70.418049 146.952494 \nL 68.918592 143.190956 \nL 67.910404 139.156183 \nL 67.471351 134.929125 \nL 67.66558 130.615142 \nL 68.536447 126.340621 \nL 70.100264 122.246193 \nL 72.341978 118.476763 \nL 75.213848 115.169398 \nL 78.637681 112.440721 \nL 82.510569 110.375904 \nL 86.713378 109.021273 \nL 91.120595 108.3818 \nL 95.610003 108.423753 \nL 100.070766 109.081695 \nL 104.409075 110.268186 \nL 108.551062 111.884284 \nL 112.443244 113.829182 \nL 116.051112 116.007763 \nL 119.356577 118.335702 \nL 122.354905 120.742092 \nL 125.05163 123.1701 \nL 127.459742 125.576228 \nL 129.597303 127.928732 \nL 131.485518 130.205677 \nL 134.605862 134.482547 \nL 137.005415 138.357349 \nL 138.857003 141.833891 \nL 140.930406 146.366433 \nL 144.364418 154.37021 \nL 145.325475 156.11892 \nL 146.379054 157.657427 \nL 147.571394 158.989796 \nL 148.947798 160.112543 \nL 150.555029 161.014072 \nL 152.443188 161.67372 \nL 154.667012 162.060322 \nL 157.286412 162.130246 \nL 160.365839 161.825013 \nL 163.971811 161.068693 \nL 168.167492 159.765806 \nL 173.002638 157.801004 \nL 175.66789 156.529749 \nL 178.496569 155.043115 \nL 181.48195 153.324296 \nL 184.611397 151.357852 \nL 187.864833 149.131062 \nL 191.213041 146.635722 \nL 194.615828 143.8704 \nL 198.020241 140.843222 \nL 201.358941 137.575068 \nL 204.549127 134.103052 \nL 207.492313 130.483901 \nL 210.075531 126.796725 \nL 212.174445 123.144373 \nL 213.658932 119.652368 \nL 214.401418 116.464398 \nL 214.287918 113.733497 \nL 213.231008 111.608668 \nL 211.183137 110.217823 \nL 208.148002 109.649318 \nL 204.187115 109.935798 \nL 199.41916 111.044537 \nL 194.011081 112.877953 \nL 188.161723 115.28535 \nL 182.081128 118.08393 \nL 170.001119 124.113606 \nL 154.117647 132.205522 \nL 142.201755 137.96776 \nL 131.803799 142.94784 \nL 128.285054 144.866025 \nL 125.496961 146.632421 \nL 123.199098 148.327998 \nL 119.329961 151.599789 \nL 116.525315 153.905367 \nL 114.515326 155.318291 \nL 112.30911 156.586606 \nL 109.851976 157.663524 \nL 107.103684 158.49312 \nL 104.040219 159.00765 \nL 102.388294 159.121708 \nL 100.65838 159.124967 \nL 98.854593 159.004687 \nL 96.983493 158.747215 \nL 95.054471 158.338141 \nL 93.080189 157.762582 \nL 91.077009 157.005578 \nL 89.065394 156.052684 \nL 87.070244 154.890745 \nL 85.121102 153.508869 \nL 83.252154 151.899632 \nL 81.501977 150.060463 \nL 79.912907 147.99517 \nL 78.529991 145.715488 \nL 77.399442 143.242521 \nL 76.566627 140.60786 \nL 76.073584 137.85414 \nL 75.956264 135.034807 \nL 76.241682 132.212872 \nL 76.945276 129.458567 \nL 78.068812 126.845888 \nL 79.599185 124.44829 \nL 81.508336 122.333921 \nL 83.754419 120.560946 \nL 86.284143 119.173543 \nL 89.036024 118.19918 \nL 91.944196 117.647427 \nL 94.942276 117.510461 \nL 97.966905 117.76511 \nL 100.9606 118.375972 \nL 103.873754 119.299187 \nL 106.665714 120.486246 \nL 109.305077 121.887482 \nL 111.769305 123.454924 \nL 114.043906 125.144351 \nL 116.121331 126.916597 \nL 117.99977 128.738167 \nL 119.681956 130.581319 \nL 121.174042 132.423763 \nL 122.484621 134.248141 \nL 123.623885 136.04137 \nL 125.433217 139.499443 \nL 126.692551 142.754229 \nL 127.4866 145.792325 \nL 127.887574 148.617933 \nL 127.952289 151.244358 \nL 127.721578 153.688616 \nL 127.220938 155.968112 \nL 126.461702 158.098595 \nL 125.442304 160.092784 \nL 124.149408 161.959252 \nL 122.558849 163.701217 \nL 120.636445 165.314928 \nL 118.338876 166.787368 \nL 115.615019 168.092889 \nL 112.408298 169.188429 \nL 110.605696 169.637666 \nL 108.661006 170.006962 \nL 106.568093 170.282793 \nL 104.321979 170.448975 \nL 101.91942 170.486322 \nL 99.359622 170.37232 \nL 96.645128 170.080853 \nL 93.782889 169.582033 \nL 90.785543 168.842218 \nL 87.672874 167.824302 \nL 84.473447 166.488415 \nL 81.226299 164.793209 \nL 77.982598 162.697893 \nL 74.807011 160.16518 \nL 71.778504 157.165322 \nL 68.990143 153.681226 \nL 66.547463 149.714512 \nL 64.564885 145.29206 \nL 63.159836 140.472215 \nL 62.444494 135.349433 \nL 62.515522 130.055838 \nL 63.442806 124.758112 \nL 65.258846 119.648667 \nL 67.950845 114.931003 \nL 71.457512 110.800557 \nL 75.671918 107.424036 \nL 80.450462 104.920964 \nL 85.626604 103.351376 \nL 91.026826 102.712135 \nL 96.485889 102.942337 \nL 101.858922 103.936049 \nL 107.028921 105.559083 \nL 111.909546 107.666249 \nL 116.444015 110.11606 \nL 120.601435 112.781267 \nL 124.371896 115.554796 \nL 127.761362 118.351771 \nL 130.78704 121.108632 \nL 133.47352 123.780538 \nL 135.849764 126.338035 \nL 139.796418 131.048654 \nL 142.875766 135.191704 \nL 146.363856 140.399242 \nL 149.865329 145.729966 \nL 151.440558 147.809769 \nL 153.040576 149.542744 \nL 154.748843 150.94597 \nL 156.636204 152.023791 \nL 158.764424 152.767853 \nL 161.188329 153.157117 \nL 163.956241 153.15796 \nL 167.108306 152.724634 \nL 170.672135 151.800719 \nL 174.655038 150.32262 \nL 179.032055 148.226663 \nL 181.347735 146.930073 \nL 183.729325 145.461947 \nL 186.156526 143.821347 \nL 188.603257 142.011285 \nL 191.037012 140.039888 \nL 193.418365 137.921677 \nL 195.700733 135.678845 \nL 197.830562 133.342421 \nL 199.748025 130.953133 \nL 201.388464 128.561729 \nL 202.684658 126.228482 \nL 203.569996 124.021626 \nL 203.982541 122.014481 \nL 203.869754 120.281229 \nL 203.193537 118.891442 \nL 201.934977 117.903894 \nL 200.098113 117.360345 \nL 197.71197 117.280378 \nL 194.830271 117.658262 \nL 191.528602 118.462709 \nL 187.899206 119.639827 \nL 184.044083 121.118895 \nL 180.06741 122.820027 \nL 172.135347 126.571128 \nL 164.745254 130.351003 \nL 158.288088 133.833557 \nL 152.916099 136.909059 \nL 148.610852 139.609416 \nL 145.257492 142.025815 \nL 142.701264 144.253214 \nL 140.782594 146.364888 \nL 139.355503 148.407058 \nL 138.295285 150.403182 \nL 137.499981 152.361091 \nL 136.631634 155.222469 \nL 135.59523 159.743193 \nL 134.596746 163.896698 \nL 133.858006 166.208338 \nL 132.926753 168.395079 \nL 131.722711 170.471187 \nL 130.720743 171.801541 \nL 129.518348 173.09374 \nL 128.072649 174.350347 \nL 126.332272 175.571106 \nL 124.235825 176.750914 \nL 121.710492 177.876677 \nL 118.671095 178.922527 \nL 115.020272 179.842547 \nL 110.651032 180.559997 \nL 108.162535 180.806642 \nL 105.453844 180.951778 \nL 102.51337 180.969274 \nL 99.331987 180.827124 \nL 95.904403 180.486515 \nL 92.230941 179.900937 \nL 88.319828 179.015439 \nL 84.190027 177.766254 \nL 79.87468 176.081036 \nL 75.425059 173.880152 \nL 70.914876 171.079536 \nL 66.444515 167.595749 \nL 62.14452 163.353872 \nL 58.177222 158.298802 \nL 54.735096 152.409927 \nL 52.034115 145.718477 \nL 50.300557 138.325207 \nL 49.750522 130.414664 \nL 50.563077 122.260532 \nL 52.850505 114.216281 \nL 56.631769 106.687192 \nL 61.816675 100.084353 \nL 68.207317 94.767829 \nL 75.519085 90.991919 \nL 83.417567 88.867485 \nL 91.562259 88.351939 \nL 99.64626 89.268903 \nL 107.423425 91.349918 \nL 114.719718 94.284893 \nL 121.430706 97.768004 \nL 127.510174 101.530509 \nL 132.955211 105.357902 \nL 137.791831 109.093583 \nL 142.063187 112.633586 \nL 149.119748 118.914177 \nL 156.785304 126.188367 \nL 163.446065 132.505352 \nL 165.859766 134.572192 \nL 167.915216 136.084716 \nL 169.742119 137.137514 \nL 171.431835 137.802149 \nL 173.043965 138.13315 \nL 174.611607 138.173608 \nL 176.14547 137.960096 \nL 177.637135 137.526914 \nL 179.061896 136.909669 \nL 180.381591 136.14813 \nL 181.547912 135.288077 \nL 182.506599 134.381902 \nL 183.202695 133.487561 \nL 183.586781 132.66575 \nL 183.621697 131.975404 \nL 183.288832 131.468087 \nL 182.592857 131.182337 \nL 181.563681 131.139229 \nL 180.255027 131.340351 \nL 178.739616 131.76878 \nL 176.264607 132.76551 \nL 173.805888 134.059657 \nL 171.617766 135.504088 \nL 169.886863 136.971347 \nL 169.045681 137.911634 \nL 168.477149 138.792957 \nL 168.1893 139.594235 \nL 168.182894 140.296076 \nL 168.453427 140.879823 \nL 168.992528 141.327016 \nL 169.788617 141.619276 \nL 170.826854 141.738582 \nL 172.088389 141.668016 \nL 173.548996 141.392926 \nL 175.177224 140.902629 \nL 176.932244 140.192649 \nL 178.761682 139.267481 \nL 180.599926 138.143736 \nL 182.367481 136.853267 \nL 183.972185 135.445638 \nL 185.313082 133.988952 \nL 186.287533 132.56789 \nL 186.801627 131.278044 \nL 186.862198 130.712861 \nL 186.782913 130.216199 \nL 186.560201 129.798247 \nL 186.193308 129.46763 \nL 185.684493 129.231038 \nL 185.039105 129.092925 \nL 183.37489 129.117888 \nL 181.299348 129.529908 \nL 178.943266 130.282223 \nL 176.452523 131.30478 \nL 173.970276 132.51803 \nL 171.622425 133.845492 \nL 169.508717 135.222012 \nL 167.699921 136.596961 \nL 166.239786 137.93327 \nL 165.149931 139.204108 \nL 164.435799 140.388926 \nL 164.092411 141.469955 \nL 164.10909 142.429665 \nL 164.472905 143.249152 \nL 165.170742 143.907372 \nL 166.190119 144.380906 \nL 167.518855 144.644217 \nL 169.143683 144.670283 \nL 171.047876 144.43177 \nL 173.207895 143.902866 \nL 175.589141 143.062152 \nL 178.140983 141.896681 \nL 180.791464 140.407563 \nL 183.442555 138.616876 \nL 185.967303 136.575288 \nL 188.210908 134.368767 \nL 189.998048 132.121722 \nL 190.663702 131.031622 \nL 191.148496 129.993058 \nL 191.433127 129.028946 \nL 191.501394 128.161948 \nL 191.341183 127.413442 \nL 190.945366 126.802429 \nL 190.312548 126.344472 \nL 189.447536 126.050747 \nL 188.361501 125.92735 \nL 187.071754 125.974892 \nL 185.601165 126.18852 \nL 183.977226 126.558301 \nL 180.395007 127.706055 \nL 176.588607 129.27215 \nL 172.811474 131.096649 \nL 169.273996 133.03817 \nL 166.126771 134.992022 \nL 163.459624 136.892791 \nL 161.311219 138.706434 \nL 159.68327 140.418552 \nL 158.554761 142.023642 \nL 157.893778 143.517512 \nL 157.666158 144.892946 \nL 157.841134 146.137806 \nL 158.39453 147.234536 \nL 159.310098 148.160277 \nL 160.579483 148.887098 \nL 162.201131 149.382117 \nL 164.178242 149.607571 \nL 166.515716 149.520981 \nL 169.215863 149.075835 \nL 172.272509 148.223309 \nL 175.663157 146.915885 \nL 179.338863 145.113817 \nL 183.212063 142.795602 \nL 187.14338 139.973227 \nL 189.070194 138.390661 \nL 190.930213 136.711805 \nL 192.687449 134.956591 \nL 194.3021 133.150685 \nL 195.731319 131.325675 \nL 196.930423 129.518887 \nL 197.85455 127.772664 \nL 198.460758 126.133064 \nL 198.710521 124.647901 \nL 198.572449 123.364164 \nL 198.025009 122.324947 \nL 197.058971 121.566176 \nL 195.679216 121.113501 \nL 193.905628 120.979788 \nL 191.772804 121.163643 \nL 189.32851 121.649331 \nL 186.631007 122.408092 \nL 183.745472 123.400857 \nL 177.681682 125.902748 \nL 171.64924 128.77989 \nL 166.051931 131.720611 \nL 161.14395 134.530491 \nL 157.038287 137.128611 \nL 153.74213 139.511595 \nL 151.197526 141.71318 \nL 149.31512 143.774785 \nL 147.997555 145.729837 \nL 147.153572 147.598535 \nL 146.705347 149.388417 \nL 146.591426 151.097211 \nL 146.767113 152.715905 \nL 147.203546 154.23115 \nL 147.886256 155.626655 \nL 148.81368 156.883676 \nL 149.99585 157.98072 \nL 151.453339 158.892625 \nL 153.216397 159.589129 \nL 155.324115 160.032974 \nL 157.823335 160.177659 \nL 160.766837 159.964926 \nL 164.210097 159.322281 \nL 168.205581 158.161151 \nL 172.793052 156.376896 \nL 175.314049 155.214864 \nL 177.983944 153.852859 \nL 180.795834 152.276332 \nL 183.737517 150.472109 \nL 186.790191 148.429573 \nL 189.927003 146.142191 \nL 193.111536 143.60945 \nL 196.296317 140.839159 \nL 199.421519 137.850119 \nL 202.414088 134.67494 \nL 205.187631 131.362817 \nL 207.643423 127.981757 \nL 209.672983 124.61968 \nL 211.162605 121.383643 \nL 212.000078 118.396366 \nL 212.08358 115.789431 \nL 211.332178 113.692874 \nL 209.696811 112.221771 \nL 207.170001 111.461426 \nL 203.792201 111.453716 \nL 199.652806 112.187893 \nL 194.884691 113.598638 \nL 189.652575 115.572848 \nL 184.137074 117.964315 \nL 178.51742 120.613173 \nL 167.588101 126.090906 \nL 146.111609 136.983209 \nL 137.855182 141.18722 \nL 133.865151 143.427881 \nL 130.764556 145.439618 \nL 128.303532 147.33876 \nL 126.270074 149.186049 \nL 122.823278 152.789643 \nL 120.292069 155.374223 \nL 118.454653 156.999136 \nL 116.412285 158.510906 \nL 114.103543 159.873468 \nL 111.475257 161.042425 \nL 108.483029 161.961349 \nL 105.094379 162.557307 \nL 103.24602 162.705707 \nL 101.295227 162.73618 \nL 99.244845 162.633022 \nL 97.100454 162.37887 \nL 94.870957 161.954795 \nL 92.569237 161.340536 \nL 90.212864 160.514911 \nL 87.824813 159.456474 \nL 85.434129 158.144448 \nL 83.076462 156.560021 \nL 80.794391 154.688004 \nL 78.637358 152.518881 \nL 76.661115 150.051165 \nL 74.926495 147.293994 \nL 73.497388 144.269672 \nL 72.43786 141.015884 \nL 71.808437 137.587127 \nL 71.661744 134.054901 \nL 72.037857 130.506211 \nL 72.959896 127.040075 \nL 74.430485 123.762049 \nL 76.429728 120.777086 \nL 78.915183 118.181545 \nL 81.824038 116.055357 \nL 85.077337 114.455588 \nL 88.585687 113.412389 \nL 92.255664 112.927918 \nL 95.996032 112.9783 \nL 99.723017 113.518105 \nL 103.36412 114.486391 \nL 106.860314 115.813295 \nL 110.166717 117.426233 \nL 113.252041 119.254984 \nL 116.097207 121.235358 \nL 118.693502 123.311429 \nL 121.040574 125.436474 \nL 123.144495 127.572944 \nL 125.016018 129.691792 \nL 126.669081 131.771432 \nL 128.119593 133.796541 \nL 130.480845 137.646208 \nL 132.234964 141.20141 \nL 133.507148 144.460503 \nL 134.405234 147.441295 \nL 135.017444 150.170002 \nL 135.546593 153.852379 \nL 135.749895 157.121401 \nL 135.727373 160.053483 \nL 135.531564 162.710189 \nL 135.180996 165.140538 \nL 134.668735 167.384219 \nL 133.96659 169.474531 \nL 133.025716 171.440536 \nL 132.231403 172.695058 \nL 131.271583 173.912735 \nL 130.111727 175.09938 \nL 128.709576 176.259164 \nL 127.013722 177.3935 \nL 124.962045 178.499201 \nL 122.480147 179.565528 \nL 119.480117 180.569537 \nL 115.860234 181.468909 \nL 111.506834 182.191088 \nL 109.017648 182.450993 \nL 106.300452 182.617334 \nL 103.341715 182.664368 \nL 100.13003 182.560277 \nL 96.657446 182.266116 \nL 92.92126 181.734751 \nL 88.926331 180.9099 \nL 84.688027 179.725462 \nL 80.23584 178.105411 \nL 75.61767 175.964718 \nL 70.904627 173.211783 \nL 66.19598 169.753187 \nL 61.623561 165.501499 \nL 57.354534 160.386871 \nL 53.590923 154.372735 \nL 50.563911 147.47503 \nL 48.520973 139.782905 \nL 47.70451 131.476797 \nL 48.32252 122.83779 \nL 50.514646 114.241149 \nL 54.320289 106.128554 \nL 59.657675 98.958307 \nL 66.32219 93.140708 \nL 74.007823 88.973292 \nL 82.34818 86.593944 \nL 90.966813 85.96589 \nL 99.523694 86.89807 \nL 107.747212 89.092549 \nL 115.447473 92.203135 \nL 122.513095 95.888994 \nL 128.897563 99.852663 \nL 134.601708 103.859486 \nL 139.657075 107.7411 \nL 144.112614 111.388631 \nL 151.453717 117.771839 \nL 167.406356 132.030332 \nL 169.540797 133.644824 \nL 171.312897 134.779483 \nL 172.828793 135.531603 \nL 174.161191 135.976262 \nL 175.356211 136.172615 \nL 176.439019 136.169057 \nL 177.868823 135.878814 \nL 179.045343 135.357804 \nL 179.91529 134.725079 \nL 180.415259 134.095888 \nL 180.517269 133.731652 \nL 180.425078 133.444015 \nL 180.140563 133.254825 \nL 179.675525 133.179074 \nL 178.689457 133.291822 \nL 177.456603 133.665982 \nL 175.665381 134.495986 \nL 174.009691 135.560401 \nL 173.027327 136.408419 \nL 172.362414 137.222318 \nL 172.065835 137.940905 \nL 172.084425 138.340236 \nL 172.276659 138.659109 \nL 172.637809 138.884838 \nL 173.158796 139.00633 \nL 174.209459 138.973789 \nL 175.524264 138.667097 \nL 177.014039 138.085013 \nL 178.562973 137.251617 \nL 180.029865 136.222814 \nL 181.255709 135.08961 \nL 182.080216 133.974339 \nL 182.337891 133.309738 \nL 182.327721 132.756249 \nL 182.036456 132.349624 \nL 181.468225 132.116654 \nL 180.645476 132.072301 \nL 179.607795 132.218279 \nL 177.767841 132.76689 \nL 175.779498 133.637346 \nL 173.860177 134.722121 \nL 172.197721 135.909534 \nL 170.931319 137.099217 \nL 170.148041 138.206896 \nL 169.916463 138.864499 \nL 169.922337 139.435543 \nL 170.163571 139.902685 \nL 170.633489 140.249511 \nL 171.321314 140.460539 \nL 172.212148 140.521557 \nL 173.286492 140.420324 \nL 175.185659 139.945168 \nL 177.32639 139.07425 \nL 179.552883 137.832612 \nL 181.66289 136.29589 \nL 182.886559 135.172478 \nL 183.8748 134.03334 \nL 184.553675 132.943936 \nL 184.859486 131.974497 \nL 184.747149 131.193035 \nL 184.527122 130.891424 \nL 184.197931 130.657139 \nL 183.224748 130.406161 \nL 181.873388 130.455768 \nL 180.218864 130.796427 \nL 178.357344 131.396316 \nL 176.395335 132.207839 \nL 173.492274 133.700844 \nL 170.904502 135.364385 \nL 169.46568 136.492888 \nL 168.3061 137.596057 \nL 167.450011 138.646576 \nL 166.908693 139.621785 \nL 166.684044 140.501632 \nL 166.771698 141.267015 \nL 167.163381 141.898709 \nL 167.84833 142.376795 \nL 168.813805 142.680608 \nL 170.044685 142.789154 \nL 171.522246 142.681959 \nL 173.222183 142.340484 \nL 175.111988 141.750183 \nL 177.147889 140.903293 \nL 179.271691 139.802464 \nL 181.408056 138.465019 \nL 183.463084 136.927439 \nL 185.325271 135.24916 \nL 186.870114 133.514315 \nL 187.969342 131.829584 \nL 188.314125 131.043777 \nL 188.50503 130.316621 \nL 188.531843 129.663415 \nL 188.38726 129.098414 \nL 188.067387 128.634207 \nL 187.572141 128.281115 \nL 186.905469 128.046693 \nL 186.07541 127.935342 \nL 185.093956 127.948114 \nL 182.742237 128.333614 \nL 180.007435 129.149241 \nL 177.071729 130.306017 \nL 174.117016 131.700006 \nL 171.303504 133.231424 \nL 168.756502 134.817478 \nL 166.56222 136.397154 \nL 164.770767 137.929469 \nL 163.403319 139.388148 \nL 162.46069 140.755514 \nL 161.931379 142.017309 \nL 161.798086 143.159113 \nL 162.04239 144.164217 \nL 162.647634 145.012615 \nL 163.600265 145.680692 \nL 164.889844 146.141297 \nL 166.50791 146.364116 \nL 168.445738 146.31634 \nL 170.691019 145.963914 \nL 173.223339 145.27363 \nL 176.008448 144.216602 \nL 178.991396 142.773534 \nL 182.089019 140.942316 \nL 185.182829 138.747839 \nL 188.114345 136.253257 \nL 190.685875 133.570304 \nL 191.766376 132.207856 \nL 192.670611 130.864448 \nL 193.369421 129.568204 \nL 193.835441 128.348992 \nL 194.044502 127.237267 \nL 193.97711 126.262659 \nL 193.61989 125.452375 \nL 192.966854 124.829518 \nL 192.020345 124.41152 \nL 190.79152 124.208866 \nL 189.300292 124.224273 \nL 187.574661 124.452444 \nL 185.64948 124.880528 \nL 183.564737 125.489154 \nL 179.090063 127.14782 \nL 174.495754 129.20904 \nL 170.085364 131.462516 \nL 166.084611 133.746867 \nL 162.631673 135.962528 \nL 159.787625 138.063141 \nL 157.556646 140.03715 \nL 155.90749 141.889566 \nL 154.791499 143.62883 \nL 154.155706 145.259493 \nL 153.951285 146.779268 \nL 154.138361 148.178664 \nL 154.688254 149.441661 \nL 155.584036 150.546527 \nL 156.820015 151.466284 \nL 158.400507 152.168712 \nL 160.338017 152.6159 \nL 162.650747 152.763568 \nL 165.35914 152.56045 \nL 168.48098 151.948241 \nL 172.024366 150.862857 \nL 175.977784 149.238173 \nL 180.296559 147.013814 \nL 182.565702 145.662719 \nL 184.885416 144.14903 \nL 187.232553 142.474299 \nL 189.578257 140.644504 \nL 191.887484 138.671169 \nL 194.118697 136.572502 \nL 196.223908 134.374486 \nL 198.149169 132.111735 \nL 199.835627 129.827949 \nL 201.221322 127.575747 \nL 202.243752 125.415604 \nL 202.843247 123.413731 \nL 202.967017 121.638748 \nL 202.573618 120.157219 \nL 201.637369 119.028357 \nL 200.152181 118.298399 \nL 198.134114 117.995525 \nL 195.622117 118.126165 \nL 192.676566 118.673503 \nL 189.375598 119.598721 \nL 185.809628 120.844919 \nL 182.074785 122.343116 \nL 174.472081 125.801772 \nL 167.219939 129.439945 \nL 160.757002 132.893267 \nL 155.293343 136.000458 \nL 150.860272 138.751881 \nL 147.378286 141.214551 \nL 144.714582 143.47372 \nL 142.721714 145.601533 \nL 141.259618 147.646755 \nL 140.206084 149.63609 \nL 139.460186 151.579899 \nL 138.941821 153.478393 \nL 138.460417 156.229745 \nL 138.160935 159.683659 \nL 138.078793 163.602247 \nL 138.203494 167.687262 \nL 138.516916 171.120625 \nL 138.968433 173.514558 \nL 139.521693 175.134437 \nL 140.100907 176.17444 \nL 140.876015 177.054994 \nL 141.534846 177.545123 \nL 142.337387 177.948488 \nL 143.315987 178.25353 \nL 144.510269 178.44427 \nL 145.968627 178.49879 \nL 147.749936 178.387129 \nL 149.92537 178.068402 \nL 152.580146 177.486871 \nL 155.814759 176.566689 \nL 159.744909 175.205138 \nL 164.498574 173.264406 \nL 170.207529 170.562857 \nL 173.458193 168.856288 \nL 176.988732 166.86849 \nL 180.805579 164.562906 \nL 184.90833 161.901143 \nL 189.286923 158.844553 \nL 193.91811 155.356743 \nL 198.761183 151.407343 \nL 203.753001 146.977329 \nL 208.802502 142.066208 \nL 213.785174 136.701184 \nL 218.538271 130.948042 \nL 222.858103 124.922949 \nL 226.501256 118.803244 \nL 229.192136 112.834109 \nL 230.639403 107.326485 \nL 230.56321 102.640805 \nL 228.733151 99.151831 \nL 225.012958 97.193735 \nL 219.402887 96.992175 \nL 212.066405 98.599741 \nL 203.327533 101.858443 \nL 193.632347 106.409878 \nL 183.481335 111.75825 \nL 163.636684 122.764405 \nL 154.607531 127.598718 \nL 146.417041 131.674233 \nL 139.117978 134.928795 \nL 132.693371 137.397825 \nL 127.084938 139.173355 \nL 122.214996 140.370389 \nL 118.000916 141.104455 \nL 114.36342 141.47927 \nL 111.23062 141.581872 \nL 108.539438 141.482187 \nL 106.235569 141.234902 \nL 104.272767 140.882174 \nL 102.611819 140.456393 \nL 100.067445 139.480533 \nL 98.390332 138.452166 \nL 97.420505 137.46964 \nL 97.029526 136.606306 \nL 97.106569 135.91887 \nL 97.55016 135.449113 \nL 98.2644 135.223121 \nL 99.158408 135.250616 \nL 100.147645 135.525498 \nL 101.155961 136.027883 \nL 102.117462 136.727274 \nL 102.977646 137.586179 \nL 103.693677 138.563605 \nL 104.233802 139.617904 \nL 104.576226 140.708794 \nL 104.707702 141.798512 \nL 104.622116 142.852246 \nL 104.319292 143.838017 \nL 103.804156 144.726256 \nL 103.086329 145.489268 \nL 102.180175 146.100742 \nL 101.105274 146.535516 \nL 99.88724 146.769673 \nL 98.558728 146.781239 \nL 97.160455 146.551452 \nL 95.741904 146.066857 \nL 94.361369 145.322084 \nL 93.084888 144.323228 \nL 91.983675 143.09142 \nL 91.129753 141.665851 \nL 90.58981 140.105335 \nL 90.417837 138.487402 \nL 90.647564 136.904064 \nL 91.2862 135.454168 \nL 91.752951 134.809516 \nL 92.311066 134.23312 \nL 92.953152 133.734548 \nL 93.670265 133.321846 \nL 95.287583 132.777324 \nL 97.07075 132.626884 \nL 98.921329 132.867343 \nL 100.744201 133.468785 \nL 102.455049 134.381495 \nL 103.984923 135.544095 \nL 105.281902 136.891088 \nL 106.310386 138.35868 \nL 107.048859 139.888396 \nL 107.486962 141.428744 \nL 107.622536 142.935272 \nL 107.459098 144.369624 \nL 107.004001 145.698029 \nL 106.267389 146.889581 \nL 105.262002 147.914579 \nL 104.003784 148.743106 \nL 102.513257 149.344004 \nL 100.817578 149.684457 \nL 98.953148 149.730435 \nL 96.968497 149.448259 \nL 94.927057 148.807656 \nL 92.909128 147.786585 \nL 91.012135 146.377883 \nL 90.14356 145.531955 \nL 89.348057 144.597265 \nL 88.640829 143.580703 \nL 88.036947 142.491532 \nL 87.550875 141.341491 \nL 87.195995 140.144812 \nL 86.984066 138.918085 \nL 86.924685 137.680027 \nL 87.024783 136.45106 \nL 87.288187 135.252768 \nL 87.715277 134.107235 \nL 88.302789 133.03626 \nL 89.043767 132.060557 \nL 89.927705 131.198939 \nL 90.940857 130.467591 \nL 92.066698 129.879454 \nL 93.286516 129.4438 \nL 94.580082 129.165983 \nL 95.926365 129.047436 \nL 97.304229 129.085843 \nL 98.693073 129.275505 \nL 100.073391 129.607847 \nL 101.427218 130.071992 \nL 102.738445 130.655376 \nL 103.993019 131.344372 \nL 106.286716 132.982619 \nL 108.237968 134.875677 \nL 109.806174 136.922716 \nL 110.974101 139.038809 \nL 111.740807 141.156111 \nL 112.115183 143.222166 \nL 112.110774 145.19671 \nL 111.742125 147.048032 \nL 111.022588 148.749345 \nL 109.963488 150.275492 \nL 108.574482 151.600001 \nL 106.865053 152.692547 \nL 104.847112 153.516828 \nL 102.53876 154.029008 \nL 99.969237 154.177071 \nL 97.185021 153.901678 \nL 95.733332 153.585357 \nL 94.256724 153.139366 \nL 92.768923 152.556221 \nL 91.285951 151.829275 \nL 89.826208 150.953184 \nL 88.410474 149.924469 \nL 87.06178 148.742143 \nL 85.805133 147.408393 \nL 84.667074 145.929277 \nL 83.675025 144.315379 \nL 82.85644 142.582351 \nL 82.23776 140.751289 \nL 81.843209 138.848816 \nL 81.693502 136.906836 \nL 81.804525 134.961863 \nL 82.18614 133.05391 \nL 82.841208 131.224964 \nL 83.764954 129.51712 \nL 84.944764 127.970507 \nL 86.360491 126.621194 \nL 87.985253 125.499283 \nL 89.786655 124.627368 \nL 91.728351 124.01955 \nL 93.771773 123.681078 \nL 95.877905 123.608621 \nL 98.008897 123.791135 \nL 100.129448 124.211139 \nL 102.207866 124.846289 \nL 104.216752 125.671017 \nL 106.133358 126.658124 \nL 107.939627 127.78018 \nL 109.621996 129.010652 \nL 111.171019 130.324756 \nL 112.580872 131.700014 \nL 113.848811 133.116566 \nL 114.97461 134.557263 \nL 115.960021 136.007605 \nL 117.523641 138.891404 \nL 118.57571 141.697123 \nL 119.157986 144.381015 \nL 119.310209 146.918041 \nL 119.065357 149.294742 \nL 118.447195 151.50361 \nL 117.469435 153.538696 \nL 116.136044 155.392077 \nL 114.442433 157.05073 \nL 112.377465 158.493552 \nL 109.926407 159.688197 \nL 107.075201 160.587677 \nL 105.496791 160.907151 \nL 103.816584 161.126753 \nL 102.036151 161.23494 \nL 100.158748 161.218678 \nL 98.189766 161.063459 \nL 96.137248 160.753364 \nL 94.01246 160.271266 \nL 91.830482 159.59914 \nL 89.61083 158.718586 \nL 87.378038 157.611556 \nL 85.162145 156.261355 \nL 82.99903 154.653939 \nL 80.930477 152.779512 \nL 79.003862 150.634416 \nL 77.271343 148.223197 \nL 75.788445 145.560761 \nL 74.611952 142.67432 \nL 73.797125 139.604889 \nL 73.394293 136.407941 \nL 73.445077 133.152875 \nL 73.978569 129.920969 \nL 75.00795 126.801759 \nL 76.528018 123.887865 \nL 78.51414 121.268773 \nL 80.922894 119.024198 \nL 83.694462 117.218017 \nL 86.756551 115.893519 \nL 90.029346 115.070798 \nL 93.430813 114.746584 \nL 96.881704 114.896341 \nL 100.309714 115.478281 \nL 103.652424 116.438414 \nL 106.858968 117.715921 \nL 109.890489 119.248082 \nL 112.719645 120.974353 \nL 115.329474 122.839265 \nL 117.711872 124.794216 \nL 119.865949 126.798246 \nL 121.79642 128.818067 \nL 123.512141 130.827555 \nL 125.024833 132.806923 \nL 126.348029 134.7418 \nL 128.484219 138.441927 \nL 130.037394 141.886676 \nL 131.116007 145.069585 \nL 131.813157 148.003094 \nL 132.204033 150.708622 \nL 132.34602 153.2107 \nL 132.280152 155.533781 \nL 132.033069 157.700594 \nL 131.618972 159.731421 \nL 131.04129 161.643863 \nL 130.293926 163.452814 \nL 129.362042 165.170452 \nL 128.222411 166.80609 \nL 126.843375 168.365751 \nL 125.184504 169.851301 \nL 123.196087 171.258917 \nL 120.818653 172.576613 \nL 117.982896 173.780404 \nL 114.610577 174.828564 \nL 110.617439 175.653294 \nL 108.3616 175.950773 \nL 105.919821 176.149106 \nL 103.283855 176.226701 \nL 100.447645 176.15752 \nL 97.408369 175.910471 \nL 94.167776 175.44886 \nL 90.733866 174.729976 \nL 87.122915 173.70496 \nL 83.361878 172.319116 \nL 79.491111 170.512958 \nL 75.567262 168.224259 \nL 71.666097 165.391534 \nL 67.884825 161.959275 \nL 64.343276 157.885263 \nL 61.183089 153.149981 \nL 58.563937 147.767725 \nL 56.655845 141.79823 \nL 55.626987 135.356851 \nL 55.627226 128.620311 \nL 56.768842 121.824708 \nL 59.107403 115.252897 \nL 62.626927 109.210319 \nL 67.233609 103.991401 \nL 72.761072 99.842269 \nL 78.987357 96.927933 \nL 85.660466 95.31203 \nL 92.526877 94.954114 \nL 99.356856 95.724376 \nL 105.962025 97.430881 \nL 112.203441 99.851626 \nL 117.991194 102.764024 \nL 123.278205 105.966892 \nL 128.051209 109.293127 \nL 132.321393 112.614047 \nL 136.116147 115.837667 \nL 139.472537 118.903458 \nL 145.039812 124.437478 \nL 149.366815 129.11967 \nL 158.934653 139.777277 \nL 160.960412 141.548598 \nL 162.939643 142.871457 \nL 164.964294 143.780228 \nL 167.100629 144.294255 \nL 169.392299 144.421117 \nL 171.861547 144.160287 \nL 174.508492 143.507549 \nL 177.308638 142.46051 \nL 180.209069 141.025578 \nL 183.124161 139.226531 \nL 185.932325 137.114234 \nL 188.476079 134.776051 \nL 190.568326 132.342175 \nL 191.382152 131.141749 \nL 192.007804 129.984723 \nL 192.422193 128.897103 \nL 192.605123 127.905168 \nL 192.540501 127.034302 \nL 192.217481 126.307709 \nL 191.631471 125.745094 \nL 190.784875 125.36143 \nL 189.687461 125.165974 \nL 188.356292 125.161591 \nL 186.815202 125.344613 \nL 185.093819 125.705131 \nL 181.2493 126.892976 \nL 177.119289 128.560136 \nL 172.993609 130.520762 \nL 169.114063 132.609468 \nL 165.652893 134.705141 \nL 162.710946 136.734825 \nL 160.329132 138.663983 \nL 158.50551 140.481795 \nL 157.212248 142.18784 \nL 156.409531 143.782919 \nL 156.055551 145.264005 \nL 156.112927 146.622268 \nL 156.552303 147.84274 \nL 157.353887 148.904672 \nL 158.507585 149.78194 \nL 160.012109 150.443203 \nL 161.873266 150.851795 \nL 164.101398 150.965491 \nL 166.707778 150.736448 \nL 169.69957 150.111846 \nL 173.072843 149.035875 \nL 176.803099 147.454202 \nL 180.832927 145.322178 \nL 185.057025 142.618249 \nL 187.19193 141.056109 \nL 189.3061 139.363596 \nL 191.366165 137.554175 \nL 193.333535 135.647236 \nL 195.164682 133.668822 \nL 196.811808 131.652083 \nL 198.224008 129.637323 \nL 199.349025 127.671502 \nL 200.135572 125.806975 \nL 200.536223 124.099426 \nL 200.51069 122.60494 \nL 200.029278 121.376344 \nL 199.076116 120.459068 \nL 197.651762 119.887066 \nL 195.77473 119.679295 \nL 193.481565 119.8374 \nL 190.825306 120.34512 \nL 187.872383 121.169641 \nL 184.698295 122.264768 \nL 181.382602 123.575498 \nL 174.635311 126.610842 \nL 168.174696 129.848487 \nL 162.378404 132.986905 \nL 157.44204 135.878123 \nL 153.413227 138.494142 \nL 150.242719 140.87282 \nL 147.830594 143.072716 \nL 146.059391 145.146651 \nL 144.814419 147.131291 \nL 143.994445 149.046398 \nL 143.516131 150.898336 \nL 143.314786 152.68448 \nL 143.34323 154.396982 \nL 143.569851 156.025372 \nL 143.976524 157.558046 \nL 144.556765 158.982811 \nL 145.314278 160.28677 \nL 146.261948 161.455721 \nL 147.421269 162.473155 \nL 148.822147 163.318944 \nL 150.502961 163.967664 \nL 152.51074 164.386529 \nL 154.901204 164.532873 \nL 157.738305 164.351125 \nL 161.09265 163.769384 \nL 165.037814 162.695878 \nL 169.643057 161.016201 \nL 172.210598 159.906956 \nL 174.960146 158.593116 \nL 177.891817 157.054906 \nL 181.001195 155.272445 \nL 184.2779 153.226723 \nL 187.703883 150.900972 \nL 191.251464 148.282545 \nL 194.881192 145.365371 \nL 198.539597 142.153057 \nL 202.157088 138.662591 \nL 205.646254 134.928522 \nL 208.901054 131.007266 \nL 211.797467 126.98098 \nL 214.196302 122.960063 \nL 215.948873 119.083078 \nL 216.9061 115.512711 \nL 216.931134 112.426447 \nL 215.914872 110.001299 \nL 213.79256 108.393309 \nL 210.55866 107.714307 \nL 206.276312 108.010571 \nL 201.077942 109.249105 \nL 195.155193 111.316651 \nL 188.739081 114.033571 \nL 182.074169 117.18026 \nL 168.892391 123.876903 \nL 156.998032 129.977111 \nL 147.046777 134.820134 \nL 139.108216 138.40348 \nL 124.49285 144.760778 \nL 121.558524 146.290623 \nL 118.032637 148.445448 \nL 112.011583 152.334103 \nL 109.896381 153.404727 \nL 107.612045 154.28924 \nL 105.121908 154.933303 \nL 102.41014 155.275399 \nL 99.484254 155.246467 \nL 97.950845 155.069441 \nL 96.379712 154.770992 \nL 94.780673 154.341293 \nL 93.166094 153.770824 \nL 91.551077 153.050742 \nL 89.953579 152.173382 \nL 88.39447 151.132834 \nL 86.897456 149.925646 \nL 85.488858 148.55159 \nL 84.197191 147.014482 \nL 83.052529 145.323011 \nL 82.085612 143.491472 \nL 81.326716 141.540344 \nL 80.804312 139.496573 \nL 80.543541 137.393505 \nL 80.564659 135.270314 \nL 80.881515 133.170909 \nL 81.500261 131.142301 \nL 82.418418 129.232502 \nL 83.624449 127.488102 \nL 85.097928 125.951706 \nL 86.810311 124.659562 \nL 88.726284 123.639541 \nL 90.805543 122.909769 \nL 93.004844 122.478021 \nL 95.280114 122.341903 \nL 97.588427 122.489781 \nL 99.889695 122.902288 \nL 102.147969 123.554177 \nL 104.332285 124.41634 \nL 106.417093 125.457706 \nL 108.382312 126.646969 \nL 110.213085 127.953949 \nL 111.899311 129.350606 \nL 113.435056 130.811686 \nL 114.817892 132.315074 \nL 116.048239 133.841875 \nL 117.128722 135.37631 \nL 118.063599 136.905495 \nL 119.518726 139.909182 \nL 120.462715 142.795608 \nL 120.945533 145.533063 \nL 121.011267 148.10645 \nL 120.694365 150.510235 \nL 120.017962 152.743143 \nL 118.993607 154.804204 \nL 117.621892 156.689551 \nL 115.893767 158.389612 \nL 113.792473 159.88625 \nL 111.296295 161.149581 \nL 108.382546 162.134295 \nL 106.76311 162.502764 \nL 105.033399 162.775449 \nL 103.193343 162.94045 \nL 101.244438 162.984125 \nL 99.190234 162.891028 \nL 97.036891 162.643909 \nL 94.793812 162.223816 \nL 92.474346 161.610322 \nL 90.096534 160.781963 \nL 87.683863 159.716881 \nL 85.265977 158.393813 \nL 82.879259 156.79339 \nL 80.56718 154.899851 \nL 78.38027 152.703155 \nL 76.375573 150.201433 \nL 74.615411 147.40366 \nL 73.165315 144.332326 \nL 72.091061 141.025743 \nL 71.454846 137.53957 \nL 71.310764 133.947047 \nL 71.699995 130.337455 \nL 72.646218 126.812513 \nL 74.151958 123.480681 \nL 76.196485 120.449762 \nL 78.735817 117.818549 \nL 81.705027 115.668708 \nL 85.022677 114.058138 \nL 88.596779 113.016799 \nL 92.331457 112.545731 \nL 96.133383 112.619186 \nL 99.917179 113.189386 \nL 103.609305 114.192877 \nL 107.150218 115.557387 \nL 110.494982 117.208232 \nL 113.612604 119.073502 \nL 116.484554 121.087813 \nL 119.102812 123.194448 \nL 121.467785 125.346286 \nL 123.586315 127.505666 \nL 125.469895 129.643645 \nL 127.133145 131.738863 \nL 128.592594 133.776303 \nL 130.970104 137.642261 \nL 132.741254 141.20477 \nL 134.034027 144.464382 \nL 134.958429 147.440541 \nL 135.604484 150.160584 \nL 136.202093 153.823825 \nL 136.500209 157.067084 \nL 136.609763 160.867455 \nL 136.506539 164.19285 \nL 136.237668 167.143065 \nL 135.795263 169.793147 \nL 135.129788 172.204504 \nL 134.431001 173.889775 \nL 133.498665 175.494579 \nL 132.253472 177.041133 \nL 131.197575 178.050148 \nL 129.914259 179.047639 \nL 128.353325 180.036844 \nL 126.453677 181.017605 \nL 124.141406 181.983852 \nL 121.327971 182.91955 \nL 117.908931 183.7923 \nL 113.764213 184.543405 \nL 108.761711 185.072785 \nL 105.896522 185.206464 \nL 102.76754 185.216848 \nL 99.361439 185.068523 \nL 95.668691 184.717807 \nL 91.685647 184.111446 \nL 87.417264 183.185391 \nL 82.880591 181.863933 \nL 78.109126 180.059497 \nL 73.157985 177.673682 \nL 68.109731 174.600235 \nL 63.080407 170.730917 \nL 58.224823 165.96531 \nL 53.739686 160.225438 \nL 49.862403 153.475648 \nL 46.863013 145.746764 \nL 45.026643 137.161527 \nL 44.625223 127.955481 \nL 45.879668 118.484864 \nL 48.917971 109.212372 \nL 53.738959 100.664631 \nL 60.193553 93.363241 \nL 67.993064 87.742194 \nL 76.746336 84.073438 \nL 86.017279 82.423502 \nL 95.386788 82.654764 \nL 104.502482 84.468871 \nL 113.105933 87.475695 \nL 121.036509 91.265342 \nL 128.218195 95.46511 \nL 134.638344 99.772902 \nL 140.325886 103.96808 \nL 145.333306 107.906295 \nL 153.562699 114.731168 \nL 166.518133 125.65092 \nL 171.989155 129.924119 \nL 176.972223 133.638386 \nL 177.043195 134.007352 \nL 176.838554 134.350263 \nL 175.997261 135.101332 \nL 175.01597 136.071205 \nL 174.70545 136.681726 \nL 174.745669 136.955527 \nL 174.964657 137.131207 \nL 175.513467 137.183745 \nL 176.292267 137.011625 \nL 177.421877 136.500367 \nL 178.463683 135.759499 \nL 179.032051 135.125245 \nL 179.225195 134.582235 \nL 179.080911 134.303527 \nL 178.689758 134.175129 \nL 178.084265 134.214736 \nL 177.047571 134.522407 \nL 175.920601 135.067957 \nL 174.901531 135.756979 \nL 174.161889 136.478521 \nL 173.820731 137.123501 \nL 173.862905 137.498393 \nL 174.163408 137.741843 \nL 174.704392 137.827559 \nL 175.449957 137.738677 \nL 176.667455 137.342327 \nL 177.979567 136.65997 \nL 179.172626 135.779944 \nL 180.01777 134.847112 \nL 180.301347 134.221541 \nL 180.290774 133.882993 \nL 180.112088 133.630616 \nL 179.768313 133.479515 \nL 178.973062 133.461281 \nL 177.915521 133.69408 \nL 176.29312 134.344004 \nL 174.703401 135.262966 \nL 173.419748 136.293652 \nL 172.781223 137.046294 \nL 172.479741 137.715811 \nL 172.478514 138.090246 \nL 172.638569 138.39117 \nL 172.956047 138.60652 \nL 173.708483 138.746785 \nL 174.750533 138.64496 \nL 176.014726 138.288412 \nL 177.410032 137.6837 \nL 178.821556 136.862495 \nL 180.113912 135.886271 \nL 181.140763 134.847022 \nL 181.762288 133.861007 \nL 181.895485 133.295383 \nL 181.779508 132.844189 \nL 181.409169 132.536223 \nL 180.795085 132.39134 \nL 179.963734 132.418462 \nL 178.401129 132.773006 \nL 176.621025 133.4549 \nL 174.820936 134.377331 \nL 173.185301 135.439548 \nL 171.862394 136.544056 \nL 170.954771 137.605221 \nL 170.610856 138.252208 \nL 170.486115 138.828464 \nL 170.582332 139.316591 \nL 170.896161 139.700396 \nL 171.419774 139.964778 \nL 172.141114 140.095929 \nL 173.043733 140.081766 \nL 174.689296 139.768107 \nL 176.59614 139.091179 \nL 178.63124 138.064562 \nL 180.621506 136.743336 \nL 182.357515 135.234198 \nL 183.260788 134.200772 \nL 183.883943 133.212125 \nL 184.170954 132.330181 \nL 184.082241 131.614783 \nL 183.890743 131.335994 \nL 183.215634 130.961325 \nL 182.174845 130.850115 \nL 180.820826 131.007105 \nL 179.228714 131.416137 \nL 177.488392 132.043865 \nL 174.807468 133.296685 \nL 172.304478 134.776863 \nL 170.21301 136.335419 \nL 169.12554 137.358481 \nL 168.315929 138.335934 \nL 167.797909 139.244644 \nL 167.575958 140.064135 \nL 167.647962 140.7752 \nL 168.007281 141.358952 \nL 168.644057 141.796308 \nL 169.545717 142.067986 \nL 170.696671 142.15487 \nL 172.077274 142.03889 \nL 173.662142 141.704365 \nL 175.417925 141.139921 \nL 177.30078 140.341072 \nL 179.253861 139.313387 \nL 181.205356 138.076096 \nL 183.067806 136.665699 \nL 184.739647 135.138725 \nL 186.109867 133.572488 \nL 187.066551 132.062467 \nL 187.509166 130.715207 \nL 187.513028 130.136097 \nL 187.363369 129.636492 \nL 187.057389 129.227014 \nL 186.595552 128.916345 \nL 185.981754 128.710801 \nL 185.22335 128.61407 \nL 183.318406 128.747818 \nL 180.999458 129.292433 \nL 178.416775 130.186623 \nL 175.731846 131.34712 \nL 173.097521 132.684949 \nL 170.643107 134.118861 \nL 168.466514 135.583055 \nL 166.633172 137.028934 \nL 165.179854 138.422603 \nL 164.121051 139.740367 \nL 163.455933 140.964111 \nL 163.174602 142.077576 \nL 163.262991 143.063811 \nL 163.706234 143.903751 \nL 164.490555 144.575562 \nL 165.603839 145.054539 \nL 167.035033 145.3134 \nL 168.772463 145.322954 \nL 170.801123 145.053266 \nL 173.098905 144.475613 \nL 175.631814 143.565491 \nL 178.348308 142.307112 \nL 181.173185 140.699651 \nL 184.001905 138.765176 \nL 186.696967 136.557582 \nL 189.088627 134.170686 \nL 190.982891 131.74236 \nL 191.680398 130.566999 \nL 192.179279 129.450335 \nL 192.458094 128.418104 \nL 192.498965 127.495693 \nL 192.288727 126.706932 \nL 191.820002 126.072786 \nL 191.092025 125.610093 \nL 190.111179 125.330476 \nL 188.891124 125.239537 \nL 187.452468 125.336484 \nL 185.822005 125.614205 \nL 184.031531 126.059861 \nL 180.113759 127.381257 \nL 175.994644 129.128051 \nL 171.950589 131.119208 \nL 168.203129 133.201936 \nL 164.903272 135.269512 \nL 162.133867 137.26081 \nL 159.922947 139.148728 \nL 158.260863 140.925741 \nL 157.11634 142.591822 \nL 156.449158 144.146528 \nL 156.219034 145.58496 \nL 156.391148 146.896313 \nL 156.939111 148.063774 \nL 157.846067 149.064917 \nL 159.104516 149.87203 \nL 160.715177 150.452193 \nL 162.685019 150.767142 \nL 165.024403 150.773096 \nL 167.74306 150.420898 \nL 170.844482 149.65706 \nL 174.318226 148.426486 \nL 178.129613 146.678015 \nL 182.20662 144.374152 \nL 186.424576 141.506304 \nL 188.529207 139.871243 \nL 190.590802 138.116098 \nL 192.572886 136.258136 \nL 194.434029 134.320949 \nL 196.128369 132.334982 \nL 197.606616 130.337721 \nL 198.81757 128.373371 \nL 199.710227 126.491885 \nL 200.236431 124.747191 \nL 200.353987 123.194591 \nL 200.030004 121.887405 \nL 199.244158 120.873059 \nL 197.991481 120.189024 \nL 196.284227 119.859157 \nL 194.152453 119.890998 \nL 191.643044 120.274594 \nL 188.817182 120.983162 \nL 185.74649 121.975618 \nL 182.508309 123.200603 \nL 175.838016 126.121142 \nL 169.363636 129.313583 \nL 163.489801 132.455429 \nL 158.441216 135.374311 \nL 154.289245 138.023612 \nL 151.000626 140.430936 \nL 148.484453 142.651336 \nL 146.627229 144.738043 \nL 145.315041 146.729686 \nL 144.445689 148.648146 \nL 143.934086 150.501409 \nL 143.71362 152.287812 \nL 143.735351 153.999875 \nL 143.966246 155.62702 \nL 144.387167 157.157196 \nL 144.991038 158.577527 \nL 145.78136 159.87423 \nL 146.771176 161.032028 \nL 147.982441 162.033136 \nL 149.445765 162.855883 \nL 151.200387 163.472969 \nL 153.294221 163.849326 \nL 155.783695 163.939514 \nL 158.732961 163.684664 \nL 162.211774 163.009096 \nL 166.290981 161.81707 \nL 171.033945 159.990698 \nL 173.668571 158.796912 \nL 176.481508 157.39117 \nL 179.470312 155.754225 \nL 182.627361 153.867271 \nL 185.938324 151.713086 \nL 189.380391 149.277634 \nL 192.920277 146.552162 \nL 196.512118 143.535912 \nL 200.095367 140.239403 \nL 203.592978 136.688246 \nL 206.91023 132.927224 \nL 209.934667 129.024245 \nL 212.537799 125.073385 \nL 214.579235 121.196054 \nL 215.913828 117.539021 \nL 216.402196 114.267957 \nL 215.924324 111.555611 \nL 214.395123 109.564561 \nL 211.779742 108.426023 \nL 208.105458 108.218206 \nL 203.46674 108.949112 \nL 198.020837 110.54913 \nL 191.973422 112.877021 \nL 185.556462 115.739265 \nL 179.00294 118.918568 \nL 150.116674 133.560129 \nL 141.781136 137.446525 \nL 126.323233 144.357358 \nL 123.250588 145.984015 \nL 120.737166 147.516937 \nL 116.5759 150.431205 \nL 113.635784 152.444362 \nL 111.569393 153.64488 \nL 109.337372 154.681221 \nL 106.893101 155.501933 \nL 104.209151 156.047796 \nL 101.279157 156.250717 \nL 99.726679 156.199751 \nL 98.122129 156.033406 \nL 96.472913 155.740874 \nL 94.788926 155.311199 \nL 93.082805 154.733568 \nL 91.370164 153.997708 \nL 89.669794 153.094414 \nL 88.00376 152.016182 \nL 86.397378 150.757988 \nL 84.879039 149.318164 \nL 83.479795 147.699361 \nL 82.232703 145.909513 \nL 81.171881 143.962761 \nL 80.331263 141.880189 \nL 79.743074 139.690277 \nL 79.436108 137.428914 \nL 79.433897 135.138867 \nL 79.752911 132.868607 \nL 80.401013 130.670477 \nL 81.376292 128.598296 \nL 82.666524 126.704497 \nL 84.249302 125.037154 \nL 86.092925 123.637108 \nL 88.157958 122.535591 \nL 90.399338 121.752606 \nL 92.76877 121.296198 \nL 95.217205 121.162734 \nL 97.697143 121.338059 \nL 100.164561 121.799322 \nL 102.580364 122.517216 \nL 104.911304 123.458369 \nL 107.130384 124.587568 \nL 109.216834 125.869737 \nL 111.155748 127.27146 \nL 112.937491 128.762065 \nL 114.556978 130.314299 \nL 116.012891 131.904615 \nL 117.306918 133.5132 \nL 118.443031 135.12379 \nL 119.426842 136.72334 \nL 120.964958 139.851005 \nL 121.979978 142.841623 \nL 122.529924 145.667689 \nL 122.665281 148.318819 \nL 122.425339 150.794289 \nL 121.836699 153.097644 \nL 120.913134 155.232847 \nL 119.656253 157.201319 \nL 118.05667 158.999392 \nL 116.095612 160.615769 \nL 113.74706 162.028612 \nL 110.980795 163.202027 \nL 109.4315 163.682832 \nL 107.766929 164.081705 \nL 105.984521 164.388143 \nL 104.082773 164.589833 \nL 102.061669 164.672494 \nL 99.923184 164.619755 \nL 97.671889 164.413077 \nL 95.315644 164.031781 \nL 92.866395 163.453194 \nL 90.341037 162.652997 \nL 87.762339 161.605833 \nL 85.159843 160.286228 \nL 82.57069 158.669935 \nL 80.040237 156.735747 \nL 77.622294 154.467828 \nL 75.378828 151.858517 \nL 73.378882 148.911532 \nL 71.69655 145.645332 \nL 70.407827 142.096234 \nL 69.586326 138.320818 \nL 69.298011 134.396902 \nL 69.595329 130.422497 \nL 70.51142 126.512217 \nL 72.0552 122.79094 \nL 74.208232 119.385068 \nL 76.924166 116.412321 \nL 80.131071 113.97143 \nL 83.736558 112.133444 \nL 87.634992 110.936064 \nL 91.715712 110.38198 \nL 95.871007 110.441322 \nL 100.002819 111.057499 \nL 104.02747 112.155185 \nL 107.878186 113.64892 \nL 111.505656 115.451057 \nL 114.877006 117.478119 \nL 117.973812 119.655186 \nL 120.789611 121.918334 \nL 123.32733 124.21542 \nL 125.596879 126.505685 \nL 127.613067 128.758621 \nL 129.39387 130.952439 \nL 132.329158 135.109671 \nL 134.565423 138.919497 \nL 136.257294 142.376147 \nL 137.540815 145.49991 \nL 138.943938 149.629687 \nL 142.025047 159.758624 \nL 143.059628 161.958828 \nL 143.878994 163.238115 \nL 144.837982 164.366225 \nL 145.970552 165.33662 \nL 147.315202 166.13713 \nL 148.916404 166.748841 \nL 150.825896 167.144517 \nL 153.103728 167.286377 \nL 155.818831 167.123213 \nL 159.048605 166.586773 \nL 162.87673 165.587612 \nL 167.387783 164.010954 \nL 172.656472 161.714026 \nL 175.591037 160.243463 \nL 178.728192 158.527869 \nL 182.06372 156.543953 \nL 185.586569 154.269241 \nL 189.276805 151.683714 \nL 193.103239 148.772072 \nL 197.020774 145.526733 \nL 200.967646 141.951688 \nL 204.862782 138.06713 \nL 208.603686 133.914706 \nL 212.065445 129.562989 \nL 215.101638 125.112311 \nL 217.548071 120.69776 \nL 219.230323 116.488607 \nL 219.975762 112.682302 \nL 219.630145 109.491251 \nL 218.077653 107.121729 \nL 215.261733 105.746267 \nL 211.202472 105.473704 \nL 206.005443 106.323845 \nL 199.857812 108.214811 \nL 193.010242 110.969179 \nL 185.747453 114.339656 \nL 178.354067 118.048458 \nL 157.659389 128.793477 \nL 151.729253 131.734059 \nL 146.381817 134.256392 \nL 137.397482 138.133751 \nL 130.439762 140.790364 \nL 116.372264 145.873867 \nL 111.800563 147.938655 \nL 107.83964 149.676668 \nL 105.841788 150.343475 \nL 103.762032 150.816642 \nL 101.579313 151.047837 \nL 99.29636 150.987539 \nL 96.940013 150.58722 \nL 94.562288 149.802902 \nL 92.241209 148.600814 \nL 91.133285 147.837273 \nL 90.080082 146.965419 \nL 89.097829 145.98781 \nL 88.203596 144.909454 \nL 87.414885 143.738096 \nL 86.749139 142.484482 \nL 86.223149 141.162486 \nL 85.852407 139.789133 \nL 85.650398 138.384432 \nL 85.627911 136.971031 \nL 85.79238 135.573675 \nL 86.147335 134.21846 \nL 86.691982 132.931922 \nL 87.421 131.740015 \nL 88.324536 130.667032 \nL 89.388478 129.73458 \nL 90.594907 128.960656 \nL 91.92278 128.358926 \nL 93.348753 127.93827 \nL 94.848078 127.702608 \nL 96.395522 127.651016 \nL 97.966243 127.778106 \nL 99.536551 128.074621 \nL 101.084533 128.528166 \nL 102.590515 129.124032 \nL 104.037365 129.845998 \nL 105.410619 130.677097 \nL 106.698489 131.600278 \nL 108.983541 133.657442 \nL 110.845559 135.897023 \nL 112.266769 138.219284 \nL 113.249413 140.546714 \nL 113.807421 142.821717 \nL 113.959751 145.002434 \nL 113.725676 147.058106 \nL 113.121852 148.964652 \nL 112.160951 150.700742 \nL 110.851603 152.244347 \nL 109.199528 153.569723 \nL 107.209786 154.644725 \nL 104.890235 155.428463 \nL 102.256338 155.869501 \nL 100.829947 155.942317 \nL 99.337491 155.905043 \nL 97.78611 155.748207 \nL 96.18487 155.461913 \nL 94.545055 155.036057 \nL 92.880459 154.460641 \nL 91.207641 153.726189 \nL 89.546121 152.824271 \nL 87.918502 151.748168 \nL 86.350442 150.493632 \nL 84.87046 149.059754 \nL 83.509545 147.449906 \nL 82.300475 145.672685 \nL 81.276894 143.742785 \nL 80.472073 141.6817 \nL 79.91742 139.51811 \nL 79.640801 137.287852 \nL 79.664764 135.033349 \nL 80.004822 132.802408 \nL 80.66798 130.646416 \nL 81.651659 128.617947 \nL 82.943216 126.768014 \nL 84.520133 125.143167 \nL 86.350926 123.782762 \nL 88.396685 122.716699 \nL 90.613141 121.963886 \nL 92.952993 121.531629 \nL 95.368313 121.415926 \nL 97.812744 121.602619 \nL 100.24337 122.069178 \nL 102.622092 122.786891 \nL 104.9165 123.723128 \nL 107.10027 124.843531 \nL 109.153128 126.113891 \nL 111.060493 127.501609 \nL 112.812912 128.976757 \nL 114.405351 130.512709 \nL 115.836451 132.086431 \nL 117.107775 133.678511 \nL 118.22312 135.27297 \nL 119.187885 136.856974 \nL 120.692139 139.955726 \nL 121.677314 142.920515 \nL 122.199578 145.723557 \nL 122.307755 148.353844 \nL 122.039727 150.809817 \nL 121.420943 153.094078 \nL 120.464275 155.209514 \nL 119.170694 157.156304 \nL 117.530486 158.929329 \nL 115.524924 160.515528 \nL 113.128576 161.890921 \nL 110.312582 163.016986 \nL 108.738417 163.469449 \nL 107.049533 163.836296 \nL 105.243935 164.106569 \nL 103.320821 164.267495 \nL 101.28103 164.304343 \nL 99.127575 164.200322 \nL 96.866256 163.936556 \nL 94.506375 163.492154 \nL 92.061533 162.844433 \nL 89.550479 161.969342 \nL 86.99801 160.842176 \nL 84.435801 159.43861 \nL 81.903137 157.736182 \nL 79.447373 155.716212 \nL 77.123968 153.366235 \nL 74.99594 150.682843 \nL 73.132497 147.674842 \nL 71.606684 144.366422 \nL 70.49195 140.79995 \nL 69.857681 137.037816 \nL 69.763881 133.162723 \nL 70.255501 129.275845 \nL 71.357096 125.492473 \nL 73.068612 121.935083 \nL 75.363174 118.724401 \nL 78.187426 115.969445 \nL 81.464686 113.758035 \nL 85.100575 112.149286 \nL 88.990317 111.16935 \nL 93.026654 110.811072 \nL 97.107213 111.037387 \nL 101.140401 111.787653 \nL 105.049345 112.98555 \nL 108.773755 114.547232 \nL 112.27001 116.388546 \nL 115.509906 118.430599 \nL 118.47859 120.603452 \nL 121.172131 122.848015 \nL 123.595093 125.116478 \nL 125.758289 127.371741 \nL 127.676858 129.586214 \nL 129.368684 131.740342 \nL 132.150173 135.820539 \nL 134.260278 139.562211 \nL 135.847185 142.962542 \nL 137.040372 146.042313 \nL 138.322171 150.127831 \nL 139.737838 155.768273 \nL 140.923033 160.272095 \nL 141.73522 162.528123 \nL 142.728496 164.479057 \nL 143.533967 165.611928 \nL 144.487465 166.606111 \nL 145.622218 167.452759 \nL 146.977028 168.137654 \nL 148.597592 168.639932 \nL 150.537773 168.930267 \nL 152.860682 168.968407 \nL 155.639301 168.699964 \nL 158.956143 168.052368 \nL 162.901033 166.930189 \nL 167.565484 165.210371 \nL 173.031205 162.738934 \nL 176.082488 161.164969 \nL 179.349052 159.33249 \nL 182.826604 157.216017 \nL 186.503406 154.790899 \nL 190.357978 152.035138 \nL 194.356442 148.931926 \nL 198.44953 145.473068 \nL 202.569469 141.663334 \nL 206.626989 137.52577 \nL 210.508965 133.107713 \nL 214.07735 128.487023 \nL 217.170383 123.777541 \nL 219.607127 119.132262 \nL 221.196496 114.742185 \nL 221.751554 110.828515 \nL 221.109067 107.626257 \nL 219.152763 105.358582 \nL 215.836819 104.204022 \nL 211.204323 104.26218 \nL 205.394604 105.526755 \nL 198.634846 107.875497 \nL 191.215411 111.083336 \nL 183.453516 114.857633 \nL 168.077522 122.886335 \nL 154.309747 129.992976 \nL 148.311918 132.888644 \nL 142.943043 135.315625 \nL 138.184718 137.307586 \nL 130.327135 140.221722 \nL 124.316706 142.133837 \nL 110.902124 146.155955 \nL 105.979404 147.784809 \nL 104.146836 148.234092 \nL 102.305271 148.513492 \nL 100.433904 148.584156 \nL 98.535088 148.409107 \nL 96.632682 147.955889 \nL 94.770742 147.1999 \nL 93.011789 146.128699 \nL 91.433813 144.747241 \nL 90.125129 143.083405 \nL 89.600329 142.161751 \nL 89.176565 141.192597 \nL 88.863863 140.187505 \nL 88.670993 139.159778 \nL 88.605076 138.124246 \nL 88.67122 137.096964 \nL 88.872211 136.09481 \nL 89.208264 135.135007 \nL 89.676877 134.234578 \nL 90.272786 133.409771 \nL 90.988059 132.675501 \nL 91.812271 132.044825 \nL 92.732831 131.5285 \nL 93.73536 131.134632 \nL 94.804164 130.868483 \nL 95.922724 130.732405 \nL 97.074198 130.725913 \nL 98.241904 130.845876 \nL 99.409741 131.086828 \nL 101.686433 131.900403 \nL 103.798961 133.091125 \nL 105.666238 134.571891 \nL 107.232005 136.255087 \nL 108.46212 138.060171 \nL 109.340077 139.917566 \nL 109.862038 141.769578 \nL 110.032289 143.569305 \nL 109.859605 145.278423 \nL 109.354735 146.864531 \nL 108.529036 148.298432 \nL 107.394222 149.551633 \nL 105.963154 150.594133 \nL 104.251627 151.392641 \nL 102.281122 151.909409 \nL 100.08247 152.10185 \nL 97.700285 151.923496 \nL 95.197806 151.326728 \nL 93.927465 150.857483 \nL 92.661485 150.268062 \nL 91.414818 149.555049 \nL 90.204094 148.716518 \nL 89.047518 147.752455 \nL 87.964655 146.665227 \nL 86.976106 145.460031 \nL 86.103046 144.145321 \nL 85.366647 142.733168 \nL 84.787356 141.239485 \nL 84.384101 139.684098 \nL 84.173403 138.090589 \nL 84.168489 136.485894 \nL 84.378456 134.899609 \nL 84.807556 133.363057 \nL 85.454671 131.908101 \nL 86.313068 130.565821 \nL 87.370427 129.365109 \nL 88.609212 128.331335 \nL 90.00733 127.485168 \nL 91.539041 126.841719 \nL 93.176061 126.410003 \nL 94.888734 126.192813 \nL 96.647215 126.187009 \nL 98.42254 126.384088 \nL 100.187553 126.771083 \nL 101.917621 127.331563 \nL 103.591111 128.046718 \nL 105.189672 128.896404 \nL 106.698303 129.860078 \nL 108.105246 130.917579 \nL 109.401786 132.049743 \nL 110.58193 133.238831 \nL 112.580537 135.725414 \nL 114.093751 138.27081 \nL 115.134599 140.796316 \nL 115.726618 143.246676 \nL 115.896412 145.584349 \nL 115.668605 147.783744 \nL 115.062855 149.826148 \nL 114.09253 151.69541 \nL 112.76472 153.374287 \nL 111.081369 154.841211 \nL 109.041487 156.067351 \nL 106.644536 157.013811 \nL 103.895253 157.629079 \nL 102.392988 157.792461 \nL 100.810224 157.847069 \nL 99.152298 157.782261 \nL 97.426483 157.586549 \nL 95.642354 157.247748 \nL 93.812193 156.753237 \nL 91.951363 156.090315 \nL 90.078682 155.246708 \nL 88.216702 154.211227 \nL 86.391908 152.974601 \nL 84.634735 151.530471 \nL 82.979375 149.876556 \nL 81.463279 148.015904 \nL 80.126316 145.958194 \nL 79.009556 143.720952 \nL 78.153618 141.330525 \nL 77.596679 138.822632 \nL 77.372191 136.242305 \nL 77.506497 133.64306 \nL 78.016552 131.085156 \nL 78.908022 128.632985 \nL 80.174004 126.351681 \nL 81.794633 124.303246 \nL 83.737673 122.542595 \nL 85.960094 121.114003 \nL 88.410488 120.04834 \nL 91.032097 119.361555 \nL 93.766048 119.054411 \nL 96.554492 119.113619 \nL 99.343314 119.513958 \nL 102.08422 120.221177 \nL 104.736094 121.19512 \nL 107.265657 122.392831 \nL 109.647494 123.771238 \nL 111.863619 125.289274 \nL 113.902705 126.909403 \nL 115.759137 128.598502 \nL 117.431999 130.32827 \nL 118.924078 132.075215 \nL 120.240947 133.82038 \nL 121.390144 135.548896 \nL 123.221494 138.913723 \nL 124.494382 142.112118 \nL 125.28372 145.118987 \nL 125.655177 147.929232 \nL 125.661198 150.548874 \nL 125.339535 152.989086 \nL 124.713272 155.262268 \nL 123.791596 157.379394 \nL 122.570879 159.348035 \nL 121.035861 161.170617 \nL 119.160874 162.842508 \nL 116.911283 164.3496 \nL 114.245433 165.665034 \nL 111.117693 166.744801 \nL 109.366436 167.176468 \nL 107.48344 167.521939 \nL 105.464622 167.768084 \nL 103.307234 167.899393 \nL 101.010417 167.89773 \nL 98.575879 167.742131 \nL 96.008706 167.408666 \nL 93.318326 166.870429 \nL 90.51961 166.097718 \nL 87.6341 165.058499 \nL 84.691308 163.719255 \nL 81.730022 162.04635 \nL 78.799446 160.008001 \nL 75.960029 157.577037 \nL 73.283676 154.734417 \nL 70.853061 151.473501 \nL 68.759688 147.804875 \nL 67.100386 143.761244 \nL 65.972072 139.401714 \nL 65.464824 134.814519 \nL 65.653707 130.11707 \nL 66.590196 125.452357 \nL 68.294469 120.981104 \nL 70.750015 116.869871 \nL 73.901911 113.276331 \nL 77.659548 110.333821 \nL 81.903748 108.137956 \nL 86.497219 106.737767 \nL 91.2966 106.13313 \nL 96.164039 106.278632 \nL 100.976625 107.092781 \nL 105.632569 108.470236 \nL 110.054007 110.294703 \nL 114.18684 112.450303 \nL 117.998468 114.830143 \nL 121.474367 117.341635 \nL 124.614271 119.908896 \nL 127.428511 122.472806 \nL 129.934814 124.989572 \nL 132.155675 127.428508 \nL 135.843163 132.000753 \nL 138.700729 136.115078 \nL 140.929171 139.769596 \nL 143.473379 144.460552 \nL 146.703465 150.509656 \nL 147.934017 152.40786 \nL 149.24265 154.039416 \nL 150.691031 155.412121 \nL 152.335834 156.523811 \nL 154.231667 157.361877 \nL 156.433078 157.902473 \nL 158.995463 158.109396 \nL 161.974543 157.932749 \nL 165.423841 157.307718 \nL 169.389249 156.154147 \nL 173.89943 154.378219 \nL 176.359409 153.225152 \nL 178.950393 151.878445 \nL 181.663022 150.326446 \nL 184.482564 148.559382 \nL 187.387748 146.570522 \nL 190.349528 144.357687 \nL 193.329826 141.925032 \nL 196.280401 139.285139 \nL 199.141987 136.461287 \nL 201.843929 133.489763 \nL 204.304612 130.421888 \nL 206.432998 127.325368 \nL 208.131565 124.284443 \nL 209.300956 121.398212 \nL 209.846382 118.776571 \nL 209.685565 116.533381 \nL 208.757629 114.776994 \nL 207.031811 113.598829 \nL 204.514546 113.061619 \nL 201.253302 113.189427 \nL 197.335841 113.961917 \nL 192.884352 115.314702 \nL 188.04503 117.146431 \nL 182.97476 119.331458 \nL 172.741344 124.231299 \nL 158.865778 131.317863 \nL 145.21186 138.428977 \nL 140.423963 141.090213 \nL 136.7173 143.397084 \nL 133.848916 145.502204 \nL 131.594978 147.505526 \nL 129.763116 149.461022 \nL 127.466399 152.345697 \nL 123.880516 156.983438 \nL 122.277866 158.735669 \nL 120.475419 160.399979 \nL 118.412454 161.952369 \nL 116.031042 163.362716 \nL 113.275308 164.59106 \nL 110.092635 165.582763 \nL 108.32652 165.967321 \nL 106.437508 166.262468 \nL 104.422253 166.454403 \nL 102.279064 166.527146 \nL 100.008447 166.462341 \nL 97.613759 166.239125 \nL 95.101992 165.83407 \nL 92.484677 165.22129 \nL 89.778906 164.372754 \nL 87.00842 163.258885 \nL 84.204737 161.84956 \nL 81.4082 160.115607 \nL 78.668802 158.03087 \nL 76.046618 155.574936 \nL 73.611583 152.736521 \nL 71.442363 149.517369 \nL 69.624011 145.936452 \nL 68.244254 142.033938 \nL 67.388298 137.874286 \nL 67.132373 133.547648 \nL 67.53647 129.16862 \nL 68.6372 124.871753 \nL 70.441777 120.803502 \nL 72.924423 117.111107 \nL 76.026082 113.929692 \nL 79.657912 111.369495 \nL 83.708245 109.505494 \nL 88.051979 108.371224 \nL 92.560874 107.957988 \nL 97.113128 108.219212 \nL 101.600962 109.078855 \nL 105.935461 110.441952 \nL 110.048637 112.205345 \nL 113.893125 114.267019 \nL 117.440197 116.53304 \nL 120.67686 118.92188 \nL 123.602625 121.366299 \nL 126.226398 123.813442 \nL 128.563739 126.223649 \nL 130.63458 128.568623 \nL 134.067954 132.994238 \nL 136.715065 137.015617 \nL 138.757714 140.624785 \nL 141.03491 145.32215 \nL 144.720133 153.565787 \nL 145.72604 155.353968 \nL 146.820759 156.921834 \nL 148.05335 158.274357 \nL 149.471194 159.408538 \nL 151.122518 160.312862 \nL 153.058335 160.966362 \nL 155.333729 161.337229 \nL 158.008276 161.380926 \nL 161.145161 161.037937 \nL 164.808315 160.23144 \nL 169.056387 158.865683 \nL 171.414111 157.938025 \nL 173.931874 156.826496 \nL 176.609515 155.51482 \nL 179.443102 153.986703 \nL 182.423789 152.226609 \nL 185.536488 150.220826 \nL 188.758359 147.958921 \nL 192.057141 145.435602 \nL 195.389441 142.653046 \nL 198.699101 139.623673 \nL 201.915847 136.373261 \nL 204.954578 132.944197 \nL 207.715631 129.398481 \nL 210.086555 125.819861 \nL 211.945865 122.314349 \nL 213.16922 119.008139 \nL 213.638167 116.042007 \nL 213.251204 113.561604 \nL 211.936193 111.703679 \nL 209.662448 110.579541 \nL 206.450129 110.258245 \nL 202.374459 110.75309 \nL 197.562799 112.015332 \nL 192.184153 113.937703 \nL 186.43248 116.36805 \nL 180.507021 119.130332 \nL 168.849885 124.965574 \nL 153.667152 132.696029 \nL 139.365316 139.66449 \nL 132.442619 143.161778 \nL 129.092519 145.112282 \nL 126.433235 146.928597 \nL 124.235429 148.682723 \nL 120.512088 152.083252 \nL 117.788617 154.495259 \nL 115.8234 155.987265 \nL 113.65396 157.344438 \nL 111.22292 158.523115 \nL 108.485145 159.470404 \nL 105.409223 160.121014 \nL 103.739401 160.310413 \nL 101.981827 160.393815 \nL 100.138921 160.358163 \nL 98.215389 160.189206 \nL 96.21867 159.871566 \nL 94.15941 159.388941 \nL 92.051987 158.724406 \nL 89.915027 157.860926 \nL 87.771889 156.782046 \nL 85.651065 155.472828 \nL 83.58641 153.921033 \nL 81.61714 152.118604 \nL 79.787464 150.063344 \nL 78.145788 147.760768 \nL 76.743359 145.225962 \nL 75.63232 142.485264 \nL 74.863169 139.577514 \nL 74.481718 136.554509 \nL 74.525718 133.480451 \nL 75.021493 130.430054 \nL 75.980965 127.485266 \nL 77.399497 124.730741 \nL 79.254957 122.248321 \nL 81.508235 120.111265 \nL 84.105305 118.378854 \nL 86.980605 117.09219 \nL 90.061344 116.27175 \nL 93.272177 115.917046 \nL 96.539682 116.008287 \nL 99.796142 116.509678 \nL 102.982341 117.373761 \nL 106.049234 118.546104 \nL 108.958553 119.969744 \nL 111.682554 121.588875 \nL 114.203132 123.351656 \nL 116.510551 125.212003 \nL 118.602014 127.130495 \nL 120.48021 129.074565 \nL 122.151979 131.018188 \nL 123.627113 132.941252 \nL 124.917354 134.828764 \nL 126.995083 138.457834 \nL 128.490744 141.857501 \nL 129.504036 145.015087 \nL 130.121119 147.937886 \nL 130.411475 150.643272 \nL 130.427445 153.152661 \nL 130.205202 155.488031 \nL 129.766305 157.670002 \nL 129.119323 159.716798 \nL 128.261232 161.64367 \nL 127.178454 163.462477 \nL 125.847511 165.181131 \nL 124.235349 166.80274 \nL 122.299449 168.324199 \nL 119.987955 169.733915 \nL 117.240159 171.008344 \nL 113.98794 172.106879 \nL 110.159086 172.964553 \nL 108.006286 173.273715 \nL 105.684009 173.4821 \nL 103.185989 173.569854 \nL 100.508129 173.513282 \nL 97.649433 173.284393 \nL 94.613185 172.850518 \nL 91.408375 172.174057 \nL 88.051423 171.212515 \nL 84.568157 169.918909 \nL 80.996011 168.242812 \nL 77.386325 166.132246 \nL 73.806503 163.536672 \nL 70.341703 160.411416 \nL 67.095546 156.723609 \nL 64.189245 152.459693 \nL 61.758387 147.634108 \nL 59.946729 142.298262 \nL 58.896597 136.548294 \nL 58.736075 130.529514 \nL 59.564068 124.435126 \nL 61.435222 118.497171 \nL 64.347746 112.968862 \nL 68.237199 108.099591 \nL 72.978587 104.106367 \nL 78.39742 101.147249 \nL 84.287979 99.302835 \nL 90.435147 98.569948 \nL 96.635385 98.868701 \nL 102.713028 100.060322 \nL 108.529871 101.970793 \nL 113.987951 104.414807 \nL 119.026972 107.215569 \nL 123.618472 110.218197 \nL 127.758719 113.296498 \nL 131.46177 116.354261 \nL 134.753517 119.322872 \nL 137.666987 122.156973 \nL 142.507104 127.32697 \nL 146.281192 131.787195 \nL 151.710312 138.737267 \nL 154.77961 142.502029 \nL 156.655041 144.43763 \nL 158.533153 145.961653 \nL 160.505473 147.097259 \nL 162.643926 147.852916 \nL 165.003921 148.223904 \nL 167.625537 148.194168 \nL 170.532506 147.738844 \nL 173.728759 146.82801 \nL 177.192331 145.432432 \nL 180.866763 143.532283 \nL 184.650674 141.129617 \nL 188.38734 138.264893 \nL 190.172003 136.687102 \nL 191.857848 135.036043 \nL 193.408166 133.335814 \nL 194.783516 131.615804 \nL 195.942808 129.910499 \nL 196.844803 128.25886 \nL 197.449995 126.703174 \nL 197.722825 125.287313 \nL 197.634086 124.054495 \nL 197.163357 123.044606 \nL 196.301183 122.291318 \nL 195.050726 121.819362 \nL 193.428643 121.642264 \nL 191.46495 121.760931 \nL 189.201804 122.16341 \nL 186.691266 122.825876 \nL 183.99227 123.714808 \nL 178.278002 126.008147 \nL 172.536983 128.703956 \nL 167.158495 131.508186 \nL 162.399613 134.226229 \nL 158.386756 136.76639 \nL 155.144271 139.111691 \nL 152.630593 141.284321 \nL 150.769976 143.31779 \nL 149.475479 145.240903 \nL 148.663481 147.071429 \nL 148.261675 148.815588 \nL 148.212688 150.470085 \nL 148.475018 152.024671 \nL 149.022542 153.464222 \nL 149.843363 154.769955 \nL 150.93847 155.919781 \nL 152.320446 156.887881 \nL 154.012263 157.643673 \nL 156.046067 158.150247 \nL 158.461706 158.362441 \nL 161.304585 158.224704 \nL 164.622199 157.669067 \nL 168.458402 156.61383 \nL 172.844102 154.964123 \nL 175.245693 153.884043 \nL 177.782724 152.616268 \nL 180.447792 151.148312 \nL 183.228614 149.469141 \nL 186.106912 147.570222 \nL 189.057163 145.446889 \nL 192.045334 143.100011 \nL 195.027656 140.537952 \nL 197.949595 137.778827 \nL 200.745216 134.852826 \nL 203.337209 131.804444 \nL 205.637868 128.694237 \nL 207.551377 125.599597 \nL 208.977704 122.61399 \nL 209.818255 119.844002 \nL 209.98326 117.403726 \nL 209.400445 115.406327 \nL 208.024095 113.953237 \nL 205.843177 113.122114 \nL 202.88689 112.955649 \nL 199.226113 113.45351 \nL 194.969789 114.569815 \nL 190.25625 116.217296 \nL 185.240768 118.277887 \nL 180.081476 120.617707 \nL 169.901981 125.615409 \nL 149.313047 136.210274 \nL 141.204385 140.563288 \nL 137.269449 142.929043 \nL 134.227162 145.063005 \nL 131.84641 147.077391 \nL 129.926438 149.035439 \nL 127.553254 151.920221 \nL 123.940135 156.566993 \nL 122.350545 158.327485 \nL 120.571656 160.002655 \nL 118.541791 161.568591 \nL 116.202633 162.995633 \nL 113.498273 164.244856 \nL 110.376123 165.263393 \nL 108.643642 165.664412 \nL 106.790402 165.97862 \nL 104.812891 166.192744 \nL 102.709156 166.291411 \nL 100.479312 166.256955 \nL 98.12617 166.069276 \nL 95.655974 165.705773 \nL 93.079267 165.141418 \nL 90.411871 164.349029 \nL 87.675937 163.299785 \nL 84.901049 161.964162 \nL 82.125263 160.313266 \nL 79.39596 158.320769 \nL 76.770346 155.96544 \nL 74.31538 153.234325 \nL 72.106845 150.126466 \nL 70.22732 146.656958 \nL 68.762811 142.860911 \nL 67.797981 138.796669 \nL 67.410076 134.547575 \nL 67.661956 130.221337 \nL 68.595025 125.946348 \nL 70.223059 121.864579 \nL 72.528088 118.121308 \nL 75.459351 114.852844 \nL 78.935871 112.173864 \nL 82.852518 110.16663 \nL 87.088713 108.873932 \nL 91.518399 108.297031 \nL 96.019645 108.398783 \nL 100.482604 109.110986 \nL 104.814924 110.34431 \nL 108.944427 111.998839 \nL 112.819347 113.9736 \nL 116.406772 116.17395 \nL 119.690001 118.516441 \nL 122.665434 120.93126 \nL 125.33949 123.362724 \nL 127.725818 125.768418 \nL 129.842946 128.117559 \nL 131.712386 130.389026 \nL 134.800795 134.651065 \nL 137.17617 138.508643 \nL 139.011008 141.967529 \nL 141.071692 146.474575 \nL 144.522267 154.42401 \nL 145.498172 156.157118 \nL 146.57099 157.679103 \nL 147.787194 158.993403 \nL 149.192475 160.095791 \nL 150.834104 160.973789 \nL 152.762762 161.605659 \nL 155.033771 161.958916 \nL 157.707509 161.988342 \nL 160.848575 161.633573 \nL 164.523009 160.81657 \nL 168.792366 159.439694 \nL 171.165628 158.505388 \nL 173.702912 157.385858 \nL 176.404655 156.06422 \nL 179.267551 154.523461 \nL 182.283388 152.747185 \nL 185.437691 150.720698 \nL 188.708141 148.432455 \nL 192.062859 145.875961 \nL 195.458585 143.052165 \nL 198.838935 139.97232 \nL 202.132909 136.661253 \nL 205.25402 133.160815 \nL 208.100419 129.533114 \nL 210.556544 125.862959 \nL 212.496819 122.25864 \nL 213.791901 118.850057 \nL 214.31768 115.783178 \nL 213.966787 113.210113 \nL 212.661707 111.274778 \nL 210.367693 110.09542 \nL 207.102989 109.746588 \nL 202.943657 110.244462 \nL 198.020871 111.539676 \nL 192.510013 113.520682 \nL 186.613081 116.028025 \nL 180.537787 118.876688 \nL 168.596365 124.87823 \nL 153.085537 132.763727 \nL 141.544998 138.332735 \nL 133.554039 142.151218 \nL 129.702077 144.170659 \nL 126.680668 145.991826 \nL 124.233377 147.719344 \nL 121.187915 150.22779 \nL 117.491631 153.412894 \nL 115.5482 154.885178 \nL 113.432733 156.230744 \nL 111.084407 157.406284 \nL 108.456486 158.360262 \nL 105.517045 159.030324 \nL 102.25236 159.340451 \nL 100.500266 159.332474 \nL 98.673378 159.198776 \nL 96.778511 158.925386 \nL 94.825391 158.497562 \nL 92.827105 157.900067 \nL 90.800552 157.11762 \nL 88.766845 156.135483 \nL 86.751655 154.940275 \nL 84.785422 153.521002 \nL 82.903342 151.870302 \nL 81.145082 149.985889 \nL 79.554105 147.872125 \nL 78.176556 145.541635 \nL 77.05964 143.016765 \nL 76.249489 140.330704 \nL 75.788605 137.528004 \nL 75.712967 134.664264 \nL 76.049109 131.80475 \nL 76.811435 129.021835 \nL 78.00015 126.391364 \nL 79.600114 123.988099 \nL 81.580919 121.88081 \nL 83.898234 120.127454 \nL 86.496346 118.771215 \nL 89.311623 117.837818 \nL 92.276474 117.334554 \nL 95.32333 117.251043 \nL 98.388198 117.5615 \nL 101.413494 118.228118 \nL 104.34995 119.204971 \nL 107.157605 120.441971 \nL 109.805972 121.888365 \nL 112.273553 123.495557 \nL 114.546922 125.21912 \nL 116.61957 127.019991 \nL 118.490648 128.865002 \nL 120.163739 130.726875 \nL 121.645742 132.583865 \nL 122.945874 134.419175 \nL 124.074842 136.220268 \nL 125.865608 139.686867 \nL 127.110922 142.943348 \nL 127.896865 145.978912 \nL 128.296374 148.799642 \nL 128.366623 151.42018 \nL 128.148637 153.858506 \nL 127.668066 156.132796 \nL 126.936444 158.259482 \nL 125.952486 160.252009 \nL 124.703223 162.119827 \nL 123.164901 163.867304 \nL 121.303707 165.492278 \nL 119.076502 166.983916 \nL 116.431896 168.319575 \nL 113.312214 169.460269 \nL 109.657201 170.344366 \nL 107.610979 170.66272 \nL 105.410776 170.879216 \nL 103.052151 170.975733 \nL 100.532786 170.930864 \nL 97.85331 170.71959 \nL 95.018312 170.313037 \nL 92.037569 169.67837 \nL 88.927473 168.778922 \nL 85.712658 167.574694 \nL 82.427749 166.023357 \nL 79.119158 164.081964 \nL 75.846689 161.709536 \nL 72.684742 158.870726 \nL 69.722663 155.540653 \nL 67.063825 151.710826 \nL 64.822897 147.395889 \nL 63.120839 142.640454 \nL 62.077342 137.524948 \nL 61.80093 132.168952 \nL 62.377396 126.730305 \nL 63.858105 121.39857 \nL 66.250179 116.382177 \nL 69.510823 111.889963 \nL 73.547588 108.109599 \nL 78.225303 105.186666 \nL 83.378782 103.208613 \nL 88.829095 102.197109 \nL 94.400261 102.110109 \nL 99.933466 102.852732 \nL 105.296803 104.293829 \nL 110.389918 106.284469 \nL 115.144107 108.674682 \nL 119.51918 111.326255 \nL 123.498568 114.120607 \nL 127.083901 116.962192 \nL 130.289913 119.778396 \nL 133.140118 122.517226 \nL 135.663383 125.143921 \nL 139.856617 129.986301 \nL 143.126775 134.240883 \nL 146.819504 139.570018 \nL 150.492287 144.987349 \nL 152.126866 147.084674 \nL 153.775898 148.821303 \nL 155.526311 150.216137 \nL 157.450988 151.274882 \nL 159.612376 151.990247 \nL 162.064602 152.342182 \nL 164.853816 152.298254 \nL 168.016307 151.814527 \nL 171.573903 150.837587 \nL 175.525958 149.308781 \nL 179.837339 147.172214 \nL 182.103446 145.862541 \nL 184.422179 144.388498 \nL 186.77167 142.751264 \nL 189.124404 140.956185 \nL 191.446699 139.013907 \nL 193.698386 136.941509 \nL 195.832786 134.76363 \nL 197.797101 132.51337 \nL 199.533367 130.232857 \nL 200.980116 127.973197 \nL 202.074789 125.793608 \nL 202.756974 123.759504 \nL 202.972353 121.939391 \nL 202.677099 120.400619 \nL 201.842361 119.204173 \nL 200.45824 118.399112 \nL 198.536623 118.017267 \nL 196.112296 118.069268 \nL 193.241907 118.542587 \nL 190.000678 119.402267 \nL 186.477213 120.594352 \nL 182.767083 122.051612 \nL 175.163972 125.468312 \nL 167.859145 129.107993 \nL 161.312825 132.587652 \nL 155.754639 135.728691 \nL 151.22955 138.510665 \nL 147.665642 140.996336 \nL 144.933179 143.270935 \nL 142.884975 145.408467 \nL 141.379755 147.459892 \nL 140.293478 149.453729 \nL 139.523263 151.401573 \nL 138.987194 153.304336 \nL 138.488303 156.063129 \nL 138.176469 159.528882 \nL 138.088383 163.463838 \nL 138.212378 167.56812 \nL 138.52864 171.018463 \nL 138.984845 173.424174 \nL 139.543838 175.051704 \nL 140.128952 176.096274 \nL 140.911816 176.980217 \nL 141.577135 177.471826 \nL 142.387474 177.875922 \nL 143.375454 178.18079 \nL 144.581018 178.370243 \nL 146.052944 178.42207 \nL 147.850548 178.30592 \nL 150.045505 177.980369 \nL 152.72357 177.388955 \nL 155.985766 176.454872 \nL 159.948217 175.074139 \nL 164.739024 173.107371 \nL 170.489449 170.371092 \nL 173.761998 168.643312 \nL 177.314712 166.631471 \nL 181.153461 164.298893 \nL 185.277059 161.607193 \nL 189.674393 158.517919 \nL 194.320832 154.995169 \nL 199.173911 151.009467 \nL 204.168312 146.543234 \nL 209.210366 141.598119 \nL 214.172576 136.204304 \nL 218.888991 130.431473 \nL 223.152768 124.400567 \nL 226.717866 118.294302 \nL 229.307253 112.363225 \nL 230.630185 106.922592 \nL 230.410342 102.334649 \nL 228.424424 98.971842 \nL 224.546899 97.160586 \nL 218.791399 97.113168 \nL 211.33524 98.864889 \nL 202.513794 102.240135 \nL 192.779213 106.867138 \nL 182.631398 112.244618 \nL 162.890956 123.190241 \nL 153.941653 127.95859 \nL 145.836432 131.961459 \nL 138.621247 135.146256 \nL 132.274985 137.554202 \nL 126.737354 139.279844 \nL 121.930087 140.438454 \nL 117.770796 141.144503 \nL 114.180843 141.500126 \nL 111.08911 141.59068 \nL 108.433276 141.484557 \nL 106.159723 141.235152 \nL 104.222787 140.883575 \nL 101.209748 139.993021 \nL 99.148944 138.990692 \nL 97.859374 137.99129 \nL 97.200501 137.076746 \nL 97.055429 136.30984 \nL 97.320125 135.738478 \nL 97.897632 135.395765 \nL 98.696043 135.299104 \nL 99.628957 135.450063 \nL 100.617195 135.835628 \nL 101.59077 136.430766 \nL 102.490366 137.201796 \nL 103.26804 138.109885 \nL 103.887067 139.114174 \nL 104.321092 140.174181 \nL 104.552886 141.251332 \nL 104.572956 142.309744 \nL 104.378268 143.316386 \nL 103.971257 144.240815 \nL 103.359212 145.054693 \nL 102.554113 145.731317 \nL 101.572883 146.245247 \nL 100.438021 146.572275 \nL 99.178494 146.689801 \nL 97.830726 146.577825 \nL 96.439435 146.220608 \nL 95.05798 145.609057 \nL 93.747843 144.743789 \nL 92.576827 143.638515 \nL 91.615608 142.323293 \nL 90.932548 140.846775 \nL 90.587029 139.27653 \nL 90.622057 137.696454 \nL 91.057462 136.200904 \nL 91.885155 134.885796 \nL 92.435545 134.323711 \nL 93.067836 133.838045 \nL 94.541809 133.125419 \nL 96.223553 132.789087 \nL 98.018741 132.840441 \nL 99.831818 133.262654 \nL 101.574343 134.016032 \nL 103.170886 135.045503 \nL 104.562033 136.288367 \nL 105.704802 137.680834 \nL 106.571159 139.162619 \nL 107.145468 140.679512 \nL 107.421603 142.184173 \nL 107.400267 143.635681 \nL 107.086872 144.998334 \nL 106.49014 146.240061 \nL 105.621519 147.330778 \nL 104.495396 148.24089 \nL 103.130089 148.940116 \nL 101.549547 149.396809 \nL 99.785634 149.57798 \nL 97.880828 149.45035 \nL 95.890976 148.982633 \nL 93.887593 148.149472 \nL 91.958903 146.937088 \nL 90.20862 145.350501 \nL 89.435992 144.425572 \nL 88.751408 143.421533 \nL 88.169487 142.347722 \nL 87.704216 141.215872 \nL 87.368461 140.040108 \nL 87.173455 138.836815 \nL 87.128286 137.624382 \nL 87.239419 136.422801 \nL 87.510272 135.253123 \nL 87.940909 134.136802 \nL 88.527852 133.09496 \nL 89.264065 132.147586 \nL 90.139099 131.312796 \nL 91.139395 130.606109 \nL 92.248733 130.039888 \nL 93.448811 129.622933 \nL 94.719902 129.360262 \nL 96.041524 129.253106 \nL 97.393113 129.299101 \nL 98.75464 129.492627 \nL 100.107146 129.825301 \nL 101.433164 130.286528 \nL 102.717015 130.864102 \nL 105.105555 132.314817 \nL 107.18795 134.068294 \nL 108.910377 136.020376 \nL 110.244924 138.079975 \nL 111.182956 140.17223 \nL 111.728483 142.238137 \nL 111.892515 144.232088 \nL 111.68879 146.118486 \nL 111.130969 147.868203 \nL 110.23122 149.455195 \nL 109.00004 150.853467 \nL 107.447227 152.034408 \nL 105.583954 152.964527 \nL 103.42596 153.603707 \nL 100.997883 153.904191 \nL 98.338748 153.810789 \nL 96.940224 153.59758 \nL 95.508356 153.263043 \nL 94.054971 152.799632 \nL 92.594002 152.200313 \nL 91.141611 151.45897 \nL 89.716258 150.570879 \nL 88.338668 149.533259 \nL 87.031682 148.345884 \nL 85.81995 147.011745 \nL 84.729466 145.537697 \nL 83.7869 143.935078 \nL 83.018748 142.220193 \nL 82.450288 140.414604 \nL 82.104418 138.545162 \nL 82.000396 136.643686 \nL 82.152606 134.746235 \nL 82.569445 132.891976 \nL 83.252436 131.121668 \nL 84.195693 129.475824 \nL 85.385812 127.992737 \nL 86.802233 126.706493 \nL 88.418067 125.645187 \nL 90.201318 124.829558 \nL 92.116409 124.272106 \nL 94.12584 123.976851 \nL 96.191868 123.939656 \nL 98.278034 124.149116 \nL 100.350442 124.587808 \nL 102.378738 125.233803 \nL 104.336731 126.062223 \nL 106.202714 127.046738 \nL 107.959475 128.160887 \nL 109.594101 129.379131 \nL 111.097602 130.677633 \nL 112.464444 132.034785 \nL 113.692024 133.431488 \nL 114.780134 134.851222 \nL 116.546044 137.706227 \nL 117.789953 140.514945 \nL 118.549972 143.222548 \nL 118.86548 145.795933 \nL 118.771256 148.216244 \nL 118.29413 150.472746 \nL 117.451504 152.557981 \nL 116.251211 154.463906 \nL 114.692366 156.178619 \nL 112.767077 157.683327 \nL 110.463071 158.949271 \nL 107.767516 159.934454 \nL 106.27004 160.304178 \nL 104.672468 160.580231 \nL 102.97584 160.752148 \nL 101.182616 160.808062 \nL 99.297102 160.734696 \nL 97.325899 160.517392 \nL 95.278429 160.140251 \nL 93.167494 159.586371 \nL 91.009842 158.838244 \nL 88.826752 157.878354 \nL 86.644543 156.689992 \nL 84.49497 155.258351 \nL 82.415415 153.571882 \nL 80.448798 151.623955 \nL 78.643043 149.414733 \nL 77.050063 146.953176 \nL 75.724103 144.259008 \nL 74.719456 141.36438 \nL 74.087535 138.314961 \nL 73.873483 135.170077 \nL 74.112522 132.001597 \nL 74.826493 128.891345 \nL 76.020951 125.927051 \nL 77.68337 123.19699 \nL 79.782771 120.783897 \nL 82.270989 118.758834 \nL 85.085544 117.175885 \nL 88.153765 116.068405 \nL 91.39764 115.447421 \nL 94.738802 115.302306 \nL 98.103006 115.603442 \nL 101.423672 116.306415 \nL 104.644269 117.356949 \nL 107.719491 118.695865 \nL 110.615393 120.263483 \nL 113.308711 122.003127 \nL 115.785661 123.863506 \nL 118.040459 125.800117 \nL 120.073763 127.775745 \nL 121.891185 129.760333 \nL 123.501951 131.730423 \nL 124.917748 133.668344 \nL 126.151775 135.561333 \nL 128.130445 139.180723 \nL 129.548789 142.552955 \nL 130.508518 145.673684 \nL 131.095957 148.555553 \nL 131.379892 151.219203 \nL 131.411778 153.68801 \nL 131.227125 155.985114 \nL 130.847299 158.131889 \nL 130.281272 160.147214 \nL 129.527078 162.047131 \nL 128.572852 163.844664 \nL 127.397441 165.549534 \nL 125.970625 167.167627 \nL 124.253038 168.700025 \nL 122.195944 170.141331 \nL 119.741114 171.477025 \nL 116.821197 172.679406 \nL 113.361285 173.701616 \nL 109.282758 174.469112 \nL 106.98776 174.723698 \nL 104.511226 174.868093 \nL 101.846929 174.879518 \nL 98.991305 174.730778 \nL 95.944572 174.389761 \nL 92.71213 173.819035 \nL 89.306281 172.975649 \nL 85.748252 171.811269 \nL 82.070541 170.272863 \nL 78.319446 168.304194 \nL 74.557635 165.848392 \nL 70.86643 162.85196 \nL 67.347336 159.270492 \nL 64.122156 155.076223 \nL 61.330901 150.267249 \nL 59.126633 144.87775 \nL 57.666573 138.987783 \nL 57.099292 132.730584 \nL 57.548684 126.294547 \nL 59.096582 119.917237 \nL 61.767104 113.869496 \nL 65.516409 108.430132 \nL 70.231186 103.854228 \nL 75.73756 100.34112 \nL 81.819364 98.009161 \nL 88.242215 96.883392 \nL 94.778211 96.898797 \nL 101.226372 97.917484 \nL 107.425672 99.754591 \nL 113.259943 102.206222 \nL 118.656048 105.073693 \nL 123.577694 108.180681 \nL 128.01737 111.382443 \nL 131.988285 114.568278 \nL 135.517379 117.659302 \nL 138.639813 120.603602 \nL 143.823491 125.945057 \nL 147.860318 130.508316 \nL 156.890066 141.181344 \nL 158.852001 143.030967 \nL 160.797639 144.448622 \nL 162.818913 145.462025 \nL 164.985094 146.083956 \nL 167.345755 146.314621 \nL 169.931784 146.144472 \nL 172.754256 145.557788 \nL 175.801111 144.537589 \nL 179.031761 143.072462 \nL 182.370209 141.165843 \nL 185.697913 138.847955 \nL 188.848776 136.189537 \nL 190.292972 134.769082 \nL 191.609874 133.314769 \nL 192.767371 131.851671 \nL 193.732611 130.408459 \nL 194.473211 129.016795 \nL 194.958705 127.710358 \nL 195.162206 126.523518 \nL 195.062139 125.489654 \nL 194.643939 124.639255 \nL 193.901534 123.997924 \nL 192.838443 123.584544 \nL 191.468305 123.409758 \nL 189.814735 123.475077 \nL 187.910447 123.772711 \nL 185.795707 124.286201 \nL 183.516245 124.991829 \nL 178.65871 126.860588 \nL 173.720635 129.125458 \nL 169.0285 131.5534 \nL 164.814896 133.974892 \nL 161.21249 136.293759 \nL 158.269884 138.472915 \nL 155.976536 140.511079 \nL 154.287255 142.421824 \nL 153.141683 144.219618 \nL 152.477779 145.912846 \nL 152.240098 147.501576 \nL 152.384217 148.977915 \nL 152.878577 150.327236 \nL 153.704726 151.529321 \nL 154.856641 152.558998 \nL 156.339508 153.386138 \nL 158.168118 153.97511 \nL 160.364809 154.283783 \nL 162.956717 154.262419 \nL 165.971837 153.852743 \nL 169.433256 152.987873 \nL 173.350622 151.594037 \nL 177.70784 149.595652 \nL 180.035248 148.348064 \nL 182.44609 146.925827 \nL 184.922751 145.324998 \nL 187.442014 143.545072 \nL 189.974277 141.590165 \nL 192.482848 139.470339 \nL 194.923463 137.203009 \nL 197.244097 134.81436 \nL 199.385296 132.340566 \nL 201.281171 129.828606 \nL 202.861211 127.336402 \nL 204.053096 124.931918 \nL 204.78653 122.690995 \nL 204.998013 120.693613 \nL 204.636254 119.018667 \nL 203.667735 117.737484 \nL 202.081658 116.906756 \nL 199.893471 116.561892 \nL 197.146119 116.712021 \nL 193.908541 117.337785 \nL 190.271267 118.392637 \nL 186.339643 119.807698 \nL 182.22562 121.499467 \nL 173.882048 125.360356 \nL 165.98286 129.343989 \nL 155.937925 134.723508 \nL 150.667723 137.750533 \nL 146.486399 140.393179 \nL 143.248855 142.761616 \nL 140.782523 144.956836 \nL 138.91851 147.051238 \nL 137.506582 149.087702 \nL 136.420331 151.086261 \nL 135.182598 154.022303 \nL 131.848813 163.086706 \nL 130.534451 165.541198 \nL 129.469133 167.107832 \nL 128.208685 168.619514 \nL 126.709923 170.075604 \nL 124.922937 171.472584 \nL 122.789679 172.801807 \nL 120.242904 174.046235 \nL 117.205797 175.175661 \nL 113.592999 176.139787 \nL 109.314205 176.858315 \nL 106.897372 177.088915 \nL 104.282407 177.20732 \nL 101.461579 177.188319 \nL 98.430022 177.001589 \nL 95.187021 176.611053 \nL 91.737647 175.974333 \nL 88.09477 175.042429 \nL 84.281478 173.759792 \nL 80.333901 172.065053 \nL 76.30429 169.89271 \nL 72.264189 167.176199 \nL 68.307267 163.85274 \nL 64.551214 159.870382 \nL 61.13785 155.197404 \nL 58.230394 149.833867 \nL 56.006754 143.824368 \nL 54.648024 137.270106 \nL 54.321987 130.33733 \nL 55.162788 123.258427 \nL 57.249544 116.322112 \nL 60.588153 109.850793 \nL 65.101255 104.166224 \nL 70.630357 99.548848 \nL 76.951254 96.199447 \nL 83.80022 94.21262 \nL 90.905143 93.568851 \nL 98.014587 94.146693 \nL 104.919048 95.750424 \nL 111.461745 98.145058 \nL 117.539558 101.089927 \nL 123.096913 104.364574 \nL 128.116053 107.784411 \nL 132.606636 111.206637 \nL 136.596462 114.529005 \nL 140.124119 117.684326 \nL 145.970827 123.356932 \nL 150.507352 128.119893 \nL 159.347889 137.693648 \nL 161.485034 139.652433 \nL 163.490806 141.127494 \nL 165.472143 142.168021 \nL 167.506067 142.806306 \nL 169.64381 143.061501 \nL 171.913224 142.94365 \nL 174.319468 142.458129 \nL 176.844123 141.61081 \nL 179.443179 140.414114 \nL 182.044633 138.89405 \nL 184.546918 137.097804 \nL 186.819901 135.100775 \nL 188.710476 133.011042 \nL 190.054784 130.968468 \nL 190.472654 130.015196 \nL 190.697934 129.135472 \nL 190.716918 128.349986 \nL 190.519824 127.677975 \nL 190.101553 127.13626 \nL 189.462302 126.738354 \nL 188.60791 126.493661 \nL 187.549924 126.406939 \nL 186.305339 126.478034 \nL 184.896012 126.701921 \nL 181.689436 127.566553 \nL 178.164536 128.886084 \nL 174.563225 130.517906 \nL 171.100952 132.323124 \nL 167.944836 134.188734 \nL 165.206322 136.036235 \nL 162.945587 137.818772 \nL 161.18253 139.512159 \nL 159.909711 141.104823 \nL 159.104177 142.589661 \nL 158.736772 143.958746 \nL 158.778653 145.200491 \nL 159.205318 146.298545 \nL 159.998645 147.231555 \nL 161.14739 147.973293 \nL 162.646489 148.492825 \nL 164.495328 148.754698 \nL 166.694978 148.719252 \nL 169.244257 148.343398 \nL 172.13433 147.582342 \nL 175.341591 146.392934 \nL 178.818598 144.739549 \nL 182.483288 142.603361 \nL 186.207436 139.995687 \nL 189.80674 136.974967 \nL 191.485443 135.34539 \nL 193.036809 133.664929 \nL 194.422209 131.961493 \nL 195.601283 130.268053 \nL 196.533328 128.622098 \nL 197.179076 127.064572 \nL 197.502809 125.638277 \nL 197.474678 124.385756 \nL 197.073078 123.346737 \nL 196.286818 122.555354 \nL 195.116844 122.037437 \nL 193.577212 121.808224 \nL 191.695127 121.870834 \nL 189.509949 122.215808 \nL 187.071176 122.821869 \nL 184.435611 123.65783 \nL 181.664019 124.685416 \nL 175.955095 127.146902 \nL 170.386956 129.88259 \nL 165.292833 132.639861 \nL 160.87301 135.269258 \nL 157.209054 137.712842 \nL 154.296379 139.971716 \nL 152.078704 142.073411 \nL 150.475912 144.049263 \nL 149.403183 145.92286 \nL 148.782555 147.706416 \nL 148.548939 149.401479 \nL 148.652542 151.001221 \nL 149.059178 152.492781 \nL 149.749496 153.858919 \nL 150.71774 155.078827 \nL 151.970439 156.128113 \nL 153.525121 156.978078 \nL 155.409065 157.594424 \nL 157.657888 157.935532 \nL 160.313644 157.950453 \nL 163.421892 157.576875 \nL 167.026919 156.739559 \nL 171.164018 155.350114 \nL 175.847276 153.309724 \nL 178.38795 152.013556 \nL 181.051198 150.517408 \nL 183.823373 148.811189 \nL 186.684662 146.887611 \nL 189.607868 144.743568 \nL 192.557204 142.38183 \nL 195.48714 139.813034 \nL 198.341515 137.057847 \nL 201.053069 134.14923 \nL 203.543706 131.134467 \nL 205.725742 128.076638 \nL 207.504494 125.055039 \nL 208.782467 122.163928 \nL 209.465217 119.509101 \nL 209.468816 117.201819 \nL 208.728355 115.350119 \nL 207.206548 114.048073 \nL 204.901081 113.364287 \nL 201.849163 113.331684 \nL 198.127876 113.940831 \nL 193.849636 115.138818 \nL 189.153012 116.834629 \nL 184.190305 118.910269 \nL 179.114042 121.235521 \nL 169.161837 126.14192 \nL 149.192282 136.460372 \nL 141.359487 140.738846 \nL 137.562059 143.089427 \nL 134.627765 145.22451 \nL 132.332987 147.248629 \nL 130.483835 149.220129 \nL 128.200918 152.126937 \nL 124.730365 156.813549 \nL 123.203423 158.594056 \nL 121.493076 160.294371 \nL 119.538476 161.893193 \nL 117.281299 163.364138 \nL 114.664502 164.6724 \nL 111.632778 165.770227 \nL 108.135306 166.591156 \nL 106.198659 166.87021 \nL 104.131793 167.043083 \nL 101.933061 167.093005 \nL 99.603138 167.000688 \nL 97.145721 166.744173 \nL 94.568379 166.298792 \nL 91.88351 165.637276 \nL 89.109433 164.730107 \nL 86.271573 163.546184 \nL 83.403636 162.053934 \nL 80.548715 160.222935 \nL 77.760148 158.026202 \nL 75.101911 155.443173 \nL 72.648283 152.463384 \nL 70.482503 149.090712 \nL 68.694086 145.347851 \nL 67.374644 141.280475 \nL 66.612113 136.96036 \nL 66.483687 132.486472 \nL 67.048038 127.983101 \nL 68.337798 123.594383 \nL 70.353577 119.475003 \nL 73.060751 115.777789 \nL 76.390018 112.639736 \nL 80.242022 110.1687 \nL 84.495513 108.433127 \nL 89.017772 107.456796 \nL 93.675588 107.219365 \nL 98.34502 107.662335 \nL 102.918742 108.69888 \nL 107.310333 110.22546 \nL 111.455637 112.133022 \nL 115.311787 114.316325 \nL 118.854677 116.680518 \nL 122.075662 119.144893 \nL 124.978108 121.644189 \nL 127.574189 124.128121 \nL 129.882133 126.559799 \nL 131.923987 128.91362 \nL 135.306768 133.328432 \nL 137.919822 137.313194 \nL 139.949545 140.869964 \nL 142.251446 145.471073 \nL 145.131574 151.499984 \nL 146.215057 153.430374 \nL 147.362325 155.116859 \nL 148.629644 156.568688 \nL 150.069137 157.786424 \nL 151.731747 158.761513 \nL 153.669497 159.475516 \nL 155.936981 159.898954 \nL 158.591865 159.989723 \nL 161.694016 159.691207 \nL 165.30258 158.930454 \nL 169.469934 157.617146 \nL 171.775166 156.720534 \nL 174.230974 155.644843 \nL 176.836136 154.375233 \nL 179.58569 152.897067 \nL 182.469864 151.196672 \nL 185.472861 149.262377 \nL 188.571466 147.085897 \nL 191.733569 144.664081 \nL 194.916654 142.001052 \nL 198.066417 139.110722 \nL 201.115695 136.019551 \nL 203.983999 132.769372 \nL 206.578016 129.419864 \nL 208.793455 126.050206 \nL 210.518714 122.759179 \nL 211.640626 119.66291 \nL 212.052423 116.889582 \nL 211.663585 114.57056 \nL 210.410709 112.828254 \nL 208.267909 111.76172 \nL 205.254787 111.432315 \nL 201.439862 111.852282 \nL 196.937928 112.979527 \nL 191.900993 114.720628 \nL 186.503953 116.942293 \nL 180.927632 119.489104 \nL 169.895233 124.944219 \nL 134.763421 142.963535 \nL 131.501389 145.017435 \nL 128.928919 146.939327 \nL 126.826309 148.800299 \nL 124.166215 151.533469 \nL 120.842767 155.043527 \nL 119.051542 156.696778 \nL 117.070893 158.245419 \nL 114.837266 159.655365 \nL 112.295322 160.88497 \nL 109.397884 161.881567 \nL 106.108346 162.577084 \nL 104.309277 162.78527 \nL 102.406216 162.883256 \nL 100.400671 162.856146 \nL 98.296594 162.687343 \nL 96.100944 162.358586 \nL 93.824313 161.850098 \nL 91.481631 161.140892 \nL 89.092884 160.20928 \nL 86.683834 159.03366 \nL 84.286658 157.593612 \nL 81.940411 155.871369 \nL 79.691212 153.853679 \nL 77.591983 151.534042 \nL 75.70161 148.915237 \nL 74.083358 146.011975 \nL 72.80243 142.853395 \nL 71.922646 139.485046 \nL 71.502346 135.969839 \nL 71.589749 132.387536 \nL 72.218262 128.832349 \nL 73.402289 125.408453 \nL 75.134256 122.223567 \nL 77.383411 119.381171 \nL 80.096837 116.972246 \nL 83.202668 115.067813 \nL 86.615179 113.713376 \nL 90.241061 112.926146 \nL 93.985962 112.695423 \nL 97.760462 112.985903 \nL 101.484777 113.743136 \nL 105.091874 114.900092 \nL 108.528919 116.383807 \nL 111.757319 118.121227 \nL 114.751689 120.043722 \nL 117.498161 122.090106 \nL 119.992399 124.208224 \nL 122.237557 126.355383 \nL 124.242397 128.49796 \nL 126.019638 130.610485 \nL 127.584573 132.674473 \nL 130.145177 136.610487 \nL 132.06185 140.253181 \nL 133.465095 143.593896 \nL 134.469114 146.647371 \nL 135.16852 149.438934 \nL 135.806055 153.197805 \nL 136.105758 156.524288 \nL 136.18159 159.497586 \nL 136.040676 163.020728 \nL 135.674246 166.143124 \nL 135.247379 168.274762 \nL 134.66403 170.259982 \nL 133.8823 172.125601 \nL 132.841003 173.896515 \nL 131.96172 175.03601 \nL 130.897283 176.149853 \nL 129.607806 177.243026 \nL 128.044631 178.318471 \nL 126.148691 179.375571 \nL 123.848772 180.407682 \nL 121.059903 181.39819 \nL 117.682352 182.314347 \nL 113.602158 183.097778 \nL 108.694939 183.650218 \nL 105.891786 183.793266 \nL 102.836126 183.812826 \nL 99.515931 183.674928 \nL 95.922917 183.337883 \nL 92.054499 182.751115 \nL 87.91634 181.85411 \nL 83.525585 180.575694 \nL 78.914857 178.833959 \nL 74.136983 176.537328 \nL 69.270267 173.587412 \nL 64.423881 169.884464 \nL 59.742588 165.336337 \nL 55.409442 159.871738 \nL 51.644634 153.458055 \nL 48.69826 146.122919 \nL 46.83479 137.976916 \nL 46.308009 129.232383 \nL 47.327508 120.211146 \nL 50.021202 111.333195 \nL 54.402035 103.080813 \nL 60.349192 95.939012 \nL 67.612386 90.322536 \nL 75.841736 86.50752 \nL 84.637122 84.587976 \nL 93.603852 84.470339 \nL 102.399936 85.906243 \nL 110.764864 88.550823 \nL 118.527493 92.027566 \nL 125.597467 95.982721 \nL 131.947639 100.120175 \nL 137.594503 104.215866 \nL 142.581031 108.116507 \nL 150.804175 115.007071 \nL 168.43034 130.279083 \nL 171.570271 132.618355 \nL 173.797366 133.975238 \nL 175.423652 134.680288 \nL 176.628561 134.959729 \nL 177.506038 134.974418 \nL 178.237009 134.785684 \nL 178.50016 134.54922 \nL 178.409237 134.431585 \nL 177.953547 134.429642 \nL 177.002563 134.721973 \nL 175.902544 135.296546 \nL 174.966696 136.019121 \nL 174.509917 136.588749 \nL 174.401494 137.057507 \nL 174.56664 137.298034 \nL 174.935323 137.415936 \nL 175.699185 137.355449 \nL 176.680298 137.037981 \nL 177.736468 136.491735 \nL 178.694625 135.789813 \nL 179.373753 135.047415 \nL 179.60548 134.548518 \nL 179.551676 134.165026 \nL 179.350787 133.997964 \nL 178.816243 133.904698 \nL 178.047336 134.010641 \nL 176.794073 134.440594 \nL 175.490564 135.123754 \nL 174.365093 135.941736 \nL 173.602559 136.765691 \nL 173.342439 137.314447 \nL 173.377242 137.753606 \nL 173.708168 138.044915 \nL 174.315977 138.157874 \nL 175.161825 138.071739 \nL 176.187409 137.778531 \nL 177.697638 137.083104 \nL 179.155341 136.114675 \nL 180.053968 135.296072 \nL 180.661854 134.491626 \nL 180.887458 133.796097 \nL 180.796803 133.43782 \nL 180.507728 133.189877 \nL 180.028359 133.06761 \nL 178.998471 133.134245 \nL 177.695174 133.490294 \nL 176.260243 134.091215 \nL 174.40355 135.153193 \nL 173.229532 136.043267 \nL 172.358914 136.929061 \nL 171.859046 137.742805 \nL 171.750113 138.215666 \nL 171.825056 138.614335 \nL 172.082005 138.924527 \nL 172.514538 139.133396 \nL 173.111883 139.229721 \nL 174.282521 139.14386 \nL 175.717652 138.766033 \nL 177.319532 138.097773 \nL 178.961542 137.168755 \nL 180.48977 136.043971 \nL 181.732121 134.826856 \nL 182.316331 134.030643 \nL 182.652649 133.299154 \nL 182.707407 132.677542 \nL 182.462044 132.206343 \nL 181.916506 131.9171 \nL 181.09081 131.828812 \nL 180.024276 131.945987 \nL 178.097257 132.481923 \nL 175.982354 133.373628 \nL 173.915619 134.50595 \nL 172.103051 135.758175 \nL 170.697936 137.022412 \nL 169.796322 138.209366 \nL 169.49963 138.920895 \nL 169.452295 139.545958 \nL 169.652668 140.066592 \nL 170.094483 140.46563 \nL 170.767486 140.726624 \nL 171.657526 140.834092 \nL 172.746092 140.774145 \nL 174.009403 140.535496 \nL 175.417119 140.110861 \nL 177.713028 139.124036 \nL 180.075393 137.748076 \nL 181.579791 136.655136 \nL 182.939064 135.469545 \nL 184.070735 134.247958 \nL 184.892718 133.058965 \nL 185.33124 131.978495 \nL 185.33016 131.082609 \nL 185.154344 130.725462 \nL 184.860162 130.438389 \nL 184.449302 130.226844 \nL 183.295935 130.043917 \nL 181.753087 130.186008 \nL 179.910081 130.634605 \nL 177.876446 131.348083 \nL 175.769213 132.270051 \nL 172.712011 133.909521 \nL 170.04996 135.688519 \nL 168.601734 136.876811 \nL 167.459527 138.027717 \nL 166.642614 139.115577 \nL 166.157738 140.119063 \nL 166.003096 141.018892 \nL 166.171609 141.796143 \nL 166.653249 142.431203 \nL 167.436325 142.90333 \nL 168.507761 143.190671 \nL 169.852423 143.270771 \nL 171.451571 143.121545 \nL 173.28051 142.722835 \nL 175.305539 142.058713 \nL 177.480418 141.120626 \nL 179.742709 139.911513 \nL 182.010636 138.450711 \nL 184.181425 136.779134 \nL 186.132444 134.963647 \nL 187.726628 133.098984 \nL 188.823372 131.304976 \nL 189.144277 130.476649 \nL 189.295096 129.717281 \nL 189.265306 129.043599 \nL 189.047806 128.470948 \nL 188.639469 128.012569 \nL 188.041549 127.678935 \nL 187.259898 127.477194 \nL 186.304952 127.410791 \nL 185.191482 127.479299 \nL 185.191482 127.479299 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p3d43aded5f\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     }
diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index bacc80e3..c643474b 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -96,7 +96,7 @@ def get_coeffs(self):
         return {name: param.item() for name, param in self.named_parameters()}
     
 
-    def fit(self, x, max_epochs=10, batch_size=128):
+    def fit(self, x, optim, optim_params=None, max_epochs=10, batch_size=128):
         """Fits model to the given data.
 
         Args:
@@ -107,14 +107,19 @@ def fit(self, x, max_epochs=10, batch_size=128):
         dataset = TensorDataset(x, x)
         loader = DataLoader(dataset, batch_size=batch_size, shuffle=True)
 
+        if optim_params is not None:
+            optimizer = optim(self.parameters(), **optim_params)
+        else:
+            optimizer = optim(self.parameters())
+
         for epoch in range(max_epochs):
             for i, data in enumerate(loader, 0):
                 self.zero_grad()
                 loss = self._step(data, i, batch_size)
                 loss.backward(retain_graph=True)
-                self.optimizer.step()
+                optimizer.step()
             
-            print("Loss: ", loss)
+            print("Epoch: " + str(epoch) + "\t Loss: " + str(loss))
 
 
     def _step(self, batch, batch_idx, num_batches):

From 0bbd5d0ab59c4cf9675802209e5f30025d2a9a7a Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 00:32:06 -0400
Subject: [PATCH 13/73] Modified TensorDataset

---
 examples/ode/lorenz63/Lorenz63Train.ipynb | 54 +++++++++++------------
 torchts/nn/models/ode.py                  |  6 +--
 2 files changed, 30 insertions(+), 30 deletions(-)

diff --git a/examples/ode/lorenz63/Lorenz63Train.ipynb b/examples/ode/lorenz63/Lorenz63Train.ipynb
index d9484e46..167eba02 100644
--- a/examples/ode/lorenz63/Lorenz63Train.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train.ipynb
@@ -116,7 +116,7 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:16:19.922631</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m601d269560\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#m601d269560\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#m601d269560\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#m601d269560\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#m601d269560\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#m601d269560\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#m601d269560\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#m601d269560\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m4f48c145b4\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4f48c145b4\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4f48c145b4\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4f48c145b4\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4f48c145b4\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4f48c145b4\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4f48c145b4\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p8e77333e8e)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p8e77333e8e\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:23:26.565709</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m59eced051a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#m59eced051a\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#m59eced051a\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#m59eced051a\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#m59eced051a\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#m59eced051a\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#m59eced051a\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#m59eced051a\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mfe041fef49\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mfe041fef49\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mfe041fef49\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mfe041fef49\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mfe041fef49\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mfe041fef49\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mfe041fef49\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pe3b36f8b83)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe3b36f8b83\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -125,7 +125,7 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:16:20.151335</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#p06085531e1)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p06085531e1\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:23:26.803656</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#p3433ca7166)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p3433ca7166\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -172,7 +172,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 13,
    "metadata": {
     "tags": []
    },
@@ -181,21 +181,21 @@
      "output_type": "stream",
      "name": "stdout",
      "text": [
-      "Epoch: 0\t Loss: tensor(244.7654, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 1\t Loss: tensor(235.4375, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 2\t Loss: tensor(229.1028, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 3\t Loss: tensor(226.1190, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 4\t Loss: tensor(232.3596, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 5\t Loss: tensor(244.8889, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 6\t Loss: tensor(246.5087, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 7\t Loss: tensor(248.6016, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 8\t Loss: tensor(244.2324, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 9\t Loss: tensor(227.9050, grad_fn=<MseLossBackward>)\n"
+      "Epoch: 0\t Loss: tensor(226.2282, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 1\t Loss: tensor(251.8655, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 2\t Loss: tensor(226.3150, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 3\t Loss: tensor(228.0103, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 4\t Loss: tensor(249.7751, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 5\t Loss: tensor(238.6514, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 6\t Loss: tensor(226.3311, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 7\t Loss: tensor(250.5593, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 8\t Loss: tensor(247.9563, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 9\t Loss: tensor(232.6432, grad_fn=<MseLossBackward>)\n"
      ]
     }
    ],
    "source": [
-    "ode_solver.fit(result,torch.optim.Adam)"
+    "ode_solver.fit(result,torch.optim.Adam, {\"lr\": 0.001})"
    ]
   },
   {
@@ -208,11 +208,11 @@
      "data": {
       "text/plain": [
        "{'sigma': Parameter containing:\n",
-       " tensor(9.9751, requires_grad=True),\n",
+       " tensor(9.9730, requires_grad=True),\n",
        " 'rho': Parameter containing:\n",
-       " tensor(27.9216, requires_grad=True),\n",
+       " tensor(27.9205, requires_grad=True),\n",
        " 'beta': Parameter containing:\n",
-       " tensor(2.7751, requires_grad=True)}"
+       " tensor(2.7759, requires_grad=True)}"
       ]
      },
      "metadata": {},
@@ -250,13 +250,13 @@
      "output_type": "execute_result",
      "data": {
       "text/plain": [
-       "tensor([[1.0000e+00, 0.0000e+00, 0.0000e+00],\n",
-       "        [9.0025e-01, 2.7922e-01, 0.0000e+00],\n",
-       "        [8.3830e-01, 5.2779e-01, 2.5136e-03],\n",
+       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 9.0027e-01,  2.7921e-01,  0.0000e+00],\n",
+       "        [ 8.3833e-01,  5.2777e-01,  2.5136e-03],\n",
        "        ...,\n",
-       "        [1.1217e+01, 1.0209e+01, 3.1372e+01],\n",
-       "        [1.1116e+01, 9.7200e+00, 3.1647e+01],\n",
-       "        [1.0977e+01, 9.2087e+00, 3.1849e+01]], grad_fn=<StackBackward>)"
+       "        [ 7.9433e-01, -1.1557e+01,  3.3041e+01],\n",
+       "        [-4.3750e-01, -1.1482e+01,  3.2032e+01],\n",
+       "        [-1.5390e+00, -1.1350e+01,  3.1193e+01]], grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
@@ -283,8 +283,8 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:19:19.034922</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mfb54e91fb3\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"37.22298\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(26.670636 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"77.084376\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −15 -->\n      <g transform=\"translate(66.532032 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"116.945772\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −10 -->\n      <g transform=\"translate(106.393428 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"156.807168\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −5 -->\n      <g transform=\"translate(149.436075 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"196.668564\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0 -->\n      <g transform=\"translate(193.487314 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"236.52996\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5 -->\n      <g transform=\"translate(233.34871 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"276.391357\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(270.028857 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.252753\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 15 -->\n      <g transform=\"translate(309.890253 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"356.114149\" xlink:href=\"#mfb54e91fb3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(349.751649 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m55002cadb0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m55002cadb0\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m55002cadb0\" y=\"216.316656\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.115875)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m55002cadb0\" y=\"171.417312\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.216531)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m55002cadb0\" y=\"126.517968\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 130.317187)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m55002cadb0\" y=\"81.618624\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 85.417842)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m55002cadb0\" y=\"36.71928\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 40.518498)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p23cf597c28)\" d=\"M 204.640844 261.216 \nL 203.064417 261.158594 \nL 203.201271 261.12509 \nL 207.016872 260.68781 \nL 210.843996 260.146634 \nL 214.283449 259.529246 \nL 218.604586 258.570614 \nL 224.000947 257.082607 \nL 227.174466 256.05527 \nL 230.708588 254.777544 \nL 234.639082 253.19012 \nL 239.00364 251.220669 \nL 243.841159 248.781557 \nL 249.190634 245.767486 \nL 255.089484 242.053293 \nL 261.571124 237.492305 \nL 268.661551 231.915855 \nL 276.374653 225.134942 \nL 284.705929 216.945347 \nL 293.624388 207.138105 \nL 303.062358 195.51749 \nL 312.903353 181.929052 \nL 322.968529 166.299594 \nL 333.003012 148.689331 \nL 342.664607 129.35296 \nL 351.518739 108.800005 \nL 359.044739 87.836936 \nL 364.659706 67.565518 \nL 367.764405 49.309436 \nL 367.812273 34.451978 \nL 364.394667 24.195544 \nL 357.32603 19.296 \nL 346.705291 19.859879 \nL 332.92981 25.29249 \nL 316.650235 34.433 \nL 298.674569 45.831066 \nL 279.84871 58.057584 \nL 260.947225 69.942249 \nL 242.599637 80.683775 \nL 225.260404 89.843639 \nL 209.21542 97.270861 \nL 194.610631 103.007095 \nL 181.488681 107.203375 \nL 169.823949 110.060641 \nL 159.551186 111.793335 \nL 150.586458 112.610243 \nL 142.841021 112.706329 \nL 136.229546 112.260494 \nL 130.674152 111.43581 \nL 126.105504 110.380416 \nL 122.462053 109.228113 \nL 119.688144 108.098128 \nL 117.731591 107.094339 \nL 116.541188 106.3041 \nL 116.06446 105.796981 \nL 116.24595 105.623923 \nL 117.026097 105.817055 \nL 118.3409 106.390286 \nL 120.122242 107.340893 \nL 122.29887 108.651833 \nL 127.546014 112.232696 \nL 133.509162 116.82615 \nL 139.66985 122.08977 \nL 145.605708 127.714512 \nL 148.388816 130.583836 \nL 151.009704 133.458522 \nL 153.447588 136.31954 \nL 155.687716 139.151612 \nL 157.720595 141.942646 \nL 159.541181 144.683187 \nL 161.148085 147.365862 \nL 162.542806 149.984899 \nL 163.729008 152.535699 \nL 164.711899 155.01452 \nL 165.497669 157.418159 \nL 166.093014 159.74372 \nL 166.504751 161.988448 \nL 166.739492 164.149541 \nL 166.803395 166.224018 \nL 166.701969 168.208635 \nL 166.439933 170.099726 \nL 166.021119 171.893146 \nL 165.448409 173.584142 \nL 164.723714 175.167251 \nL 163.847971 176.636194 \nL 162.821173 177.983762 \nL 161.642406 179.201682 \nL 160.309938 180.280481 \nL 158.821302 181.209361 \nL 157.173418 181.97605 \nL 155.362747 182.566666 \nL 153.385465 182.96558 \nL 151.237686 183.155312 \nL 148.915739 183.116466 \nL 146.416483 182.82771 \nL 143.737706 182.2658 \nL 140.87858 181.405799 \nL 137.840221 180.221364 \nL 134.626329 178.685272 \nL 131.243925 176.770185 \nL 127.704209 174.449753 \nL 124.023457 171.700048 \nL 120.224061 168.501451 \nL 116.335521 164.840962 \nL 112.395478 160.715 \nL 108.450577 156.132533 \nL 104.557163 151.11849 \nL 100.781534 145.717086 \nL 97.199712 139.994785 \nL 93.896455 134.042347 \nL 90.963355 127.975299 \nL 88.49596 121.932341 \nL 86.589739 116.071074 \nL 85.335098 110.560788 \nL 84.811673 105.572557 \nL 85.08227 101.267294 \nL 86.187162 97.783014 \nL 88.139434 95.22312 \nL 90.92201 93.647504 \nL 94.48703 93.067953 \nL 98.75774 93.448823 \nL 103.632871 94.712747 \nL 108.992949 96.750417 \nL 114.707841 99.432639 \nL 120.644581 102.622766 \nL 126.674631 106.18758 \nL 132.679919 110.005696 \nL 138.557195 113.97284 \nL 144.220669 118.004222 \nL 149.602978 122.034473 \nL 154.654832 126.015954 \nL 159.343648 129.916086 \nL 163.651564 133.714402 \nL 167.573116 137.399607 \nL 171.112875 140.967032 \nL 174.283147 144.416508 \nL 177.101917 147.750722 \nL 179.591049 150.974 \nL 181.774781 154.091446 \nL 183.6785 157.108395 \nL 185.327781 160.030045 \nL 186.747659 162.861278 \nL 187.962094 165.606555 \nL 188.993604 168.269901 \nL 189.863032 170.854931 \nL 191.189938 175.802604 \nL 192.073021 180.471678 \nL 192.614248 184.880367 \nL 192.890312 189.04412 \nL 192.956354 192.97641 \nL 192.849652 196.689169 \nL 192.59287 200.192995 \nL 192.196684 203.497167 \nL 191.661706 206.60956 \nL 190.979773 209.536353 \nL 190.134611 212.28163 \nL 189.101969 214.84671 \nL 187.849246 217.229213 \nL 186.334676 219.421598 \nL 184.506075 221.409106 \nL 183.454462 222.318721 \nL 182.299209 223.166712 \nL 181.030078 223.947617 \nL 179.635821 224.65468 \nL 178.104105 225.279594 \nL 176.421439 225.812185 \nL 174.573124 226.240058 \nL 172.543189 226.548154 \nL 170.31437 226.718256 \nL 167.868105 226.728391 \nL 165.184575 226.552155 \nL 162.242808 226.157947 \nL 159.020876 225.508114 \nL 155.496198 224.558032 \nL 151.646007 223.255159 \nL 147.448026 221.538125 \nL 142.881423 219.335947 \nL 137.928096 216.567577 \nL 132.574428 213.141974 \nL 126.813545 208.959045 \nL 120.648253 203.911963 \nL 114.094686 197.891361 \nL 107.186699 190.792169 \nL 99.981087 182.523778 \nL 92.563314 173.024211 \nL 85.053515 162.27854 \nL 77.611983 150.34119 \nL 70.443154 137.360239 \nL 63.79658 123.600232 \nL 57.963028 109.457711 \nL 53.263868 95.461812 \nL 50.032094 82.251699 \nL 48.584825 70.525192 \nL 49.188774 60.959143 \nL 52.023278 54.111798 \nL 57.147611 50.328177 \nL 64.480512 49.674548 \nL 73.798697 51.924311 \nL 84.75684 56.602737 \nL 96.925838 63.078102 \nL 109.841234 70.671788 \nL 148.82843 94.507574 \nL 160.830125 101.583386 \nL 172.001746 107.941512 \nL 182.255852 113.55655 \nL 191.562106 118.457456 \nL 199.932748 122.7035 \nL 214.052931 129.522448 \nL 225.127592 134.580749 \nL 237.323413 139.841098 \nL 243.297737 142.234871 \nL 248.062823 143.957168 \nL 251.956575 145.120552 \nL 255.233701 145.797158 \nL 258.078131 146.035482 \nL 260.615287 145.872203 \nL 262.922975 145.340704 \nL 265.040726 144.477286 \nL 266.977815 143.325736 \nL 268.720345 141.940359 \nL 270.237842 140.38749 \nL 271.489813 138.745136 \nL 272.432299 137.100625 \nL 273.024493 135.546222 \nL 273.235057 134.173066 \nL 273.047659 133.06413 \nL 272.804775 132.630704 \nL 272.465083 132.28725 \nL 272.032269 132.038958 \nL 271.51136 131.889467 \nL 270.231546 131.893569 \nL 268.689134 132.29745 \nL 266.961514 133.076128 \nL 265.134219 134.185937 \nL 263.294821 135.56979 \nL 261.527285 137.162576 \nL 259.907509 138.895895 \nL 258.500236 140.701689 \nL 257.357484 142.514558 \nL 256.518236 144.273012 \nL 256.009001 145.919887 \nL 255.844918 147.402207 \nL 256.030993 148.670927 \nL 256.563158 149.680685 \nL 256.955463 150.075282 \nL 257.429005 150.38985 \nL 258.608019 150.761128 \nL 260.071307 150.762713 \nL 261.780912 150.370222 \nL 263.688844 149.56944 \nL 265.736077 148.359759 \nL 267.851843 146.758144 \nL 269.953704 144.80309 \nL 271.948842 142.557874 \nL 273.737073 140.112033 \nL 275.215878 137.579988 \nL 276.287508 135.095883 \nL 276.867682 132.804294 \nL 276.953124 131.775619 \nL 276.894923 130.847424 \nL 276.690358 130.03473 \nL 276.339048 129.350605 \nL 275.843092 128.80584 \nL 275.207051 128.408648 \nL 274.437936 128.1645 \nL 273.545045 128.076036 \nL 272.539789 128.143108 \nL 271.435399 128.362899 \nL 270.246631 128.730161 \nL 267.680336 129.875647 \nL 264.975204 131.500693 \nL 262.266194 133.508972 \nL 259.678782 135.797349 \nL 257.321644 138.264121 \nL 255.282633 140.814227 \nL 253.627739 143.361619 \nL 252.402416 145.829478 \nL 251.634248 148.149037 \nL 251.336234 150.257847 \nL 251.364388 151.214954 \nL 251.509909 152.097863 \nL 251.771606 152.899732 \nL 252.147839 153.613848 \nL 252.636538 154.233564 \nL 253.23521 154.75232 \nL 253.940932 155.16366 \nL 254.750324 155.461254 \nL 255.659501 155.638955 \nL 256.664019 155.690843 \nL 257.758795 155.611362 \nL 258.938029 155.395407 \nL 260.195106 155.038499 \nL 261.522495 154.536964 \nL 262.911654 153.888114 \nL 265.835372 152.144219 \nL 268.873856 149.815018 \nL 271.913382 146.941848 \nL 274.818898 143.607822 \nL 277.437265 139.944035 \nL 278.587729 138.042916 \nL 279.604823 136.13033 \nL 280.468488 134.235162 \nL 281.159803 132.387867 \nL 281.661583 130.619668 \nL 281.959025 128.961677 \nL 282.040278 127.443868 \nL 281.897016 126.094082 \nL 281.524874 124.937026 \nL 280.923837 123.993373 \nL 280.098384 123.279061 \nL 279.057539 122.804794 \nL 277.814699 122.575796 \nL 276.387297 122.591861 \nL 274.796309 122.847621 \nL 273.065595 123.333073 \nL 271.221208 124.034274 \nL 269.290597 124.934131 \nL 267.3018 126.013273 \nL 265.282713 127.250872 \nL 261.26052 130.11547 \nL 257.420813 133.359181 \nL 253.925566 136.82766 \nL 250.896514 140.388346 \nL 248.416071 143.931502 \nL 247.397841 145.667758 \nL 246.532651 147.367224 \nL 245.822463 149.020967 \nL 245.26807 150.620689 \nL 244.869322 152.158555 \nL 244.625339 153.627053 \nL 244.534693 155.018879 \nL 244.595562 156.326796 \nL 244.805849 157.543551 \nL 245.163283 158.661795 \nL 245.665469 159.673985 \nL 246.309938 160.572343 \nL 247.094137 161.348795 \nL 248.015407 161.994956 \nL 249.070926 162.502126 \nL 250.257629 162.861286 \nL 251.572105 163.063154 \nL 253.010444 163.098274 \nL 254.568096 162.957124 \nL 256.239667 162.630284 \nL 258.018714 162.108676 \nL 259.897515 161.383813 \nL 261.866818 160.448184 \nL 263.915602 159.295693 \nL 266.030791 157.922142 \nL 268.197033 156.325811 \nL 270.39647 154.50813 \nL 272.60855 152.474331 \nL 274.809926 150.234193 \nL 276.97442 147.802697 \nL 279.073125 145.200633 \nL 281.074642 142.455065 \nL 282.945479 139.599579 \nL 284.650655 136.674187 \nL 286.15449 133.724927 \nL 287.421629 130.802969 \nL 288.418187 127.963292 \nL 289.113082 125.262915 \nL 289.47943 122.758737 \nL 289.495921 120.505112 \nL 289.148086 118.551376 \nL 288.429371 116.939433 \nL 287.341874 115.701765 \nL 285.896681 114.85992 \nL 284.11378 114.423728 \nL 282.021446 114.391271 \nL 279.655268 114.749651 \nL 277.056729 115.476399 \nL 274.271576 116.541299 \nL 271.348048 117.908615 \nL 268.335072 119.53927 \nL 265.280614 121.392928 \nL 262.230201 123.429802 \nL 259.225755 125.612039 \nL 256.304745 127.90475 \nL 253.49963 130.276616 \nL 250.837625 132.700132 \nL 248.340718 135.151608 \nL 246.02591 137.610954 \nL 243.905594 140.061335 \nL 241.988059 142.488721 \nL 240.278051 144.881475 \nL 238.777357 147.229902 \nL 237.485363 149.525841 \nL 236.399627 151.762313 \nL 235.516349 153.933186 \nL 234.830836 156.03291 \nL 234.337879 158.056287 \nL 234.032073 159.998273 \nL 233.908096 161.853798 \nL 233.960906 163.61763 \nL 234.185915 165.284236 \nL 234.579087 166.847665 \nL 235.137019 168.301425 \nL 235.856977 169.63839 \nL 236.73689 170.850692 \nL 237.775314 171.92962 \nL 238.971369 172.865531 \nL 240.32465 173.647755 \nL 241.835092 174.264533 \nL 243.502808 174.702961 \nL 245.32791 174.948932 \nL 247.310248 174.987178 \nL 249.449161 174.801317 \nL 251.743141 174.37398 \nL 254.18945 173.687029 \nL 256.783704 172.721915 \nL 259.519386 171.460114 \nL 262.387301 169.883831 \nL 265.374997 167.976811 \nL 268.466147 165.725438 \nL 271.639896 163.120052 \nL 274.870248 160.156516 \nL 278.125492 156.837991 \nL 281.367759 153.176842 \nL 284.552744 149.196629 \nL 287.62973 144.933937 \nL 290.541944 140.439883 \nL 293.227377 135.780984 \nL 295.620165 131.03916 \nL 297.652542 126.310465 \nL 299.257397 121.702435 \nL 300.37136 117.329894 \nL 300.938282 113.309328 \nL 300.91285 109.752188 \nL 300.264044 106.757728 \nL 298.978042 104.406123 \nL 297.060271 102.752885 \nL 294.536219 101.825161 \nL 291.450855 101.620622 \nL 287.866691 102.109054 \nL 283.860563 103.236384 \nL 279.51951 104.930455 \nL 274.936158 107.107682 \nL 270.204062 109.679857 \nL 265.413461 112.55999 \nL 260.647737 115.667065 \nL 255.980779 118.929163 \nL 251.475323 122.285129 \nL 247.182214 125.685003 \nL 243.14044 129.089501 \nL 239.377793 132.46889 \nL 235.911946 135.801503 \nL 232.751796 139.072259 \nL 229.898908 142.271164 \nL 227.348963 145.392061 \nL 225.093135 148.431516 \nL 223.119323 151.388004 \nL 221.413239 154.261216 \nL 219.959321 157.051599 \nL 218.741504 159.759966 \nL 217.743817 162.387284 \nL 216.950861 164.934496 \nL 216.348163 167.402407 \nL 215.922436 169.791607 \nL 215.661753 172.102421 \nL 215.555663 174.334877 \nL 215.595242 176.488656 \nL 215.773123 178.563057 \nL 216.083482 180.556957 \nL 216.522013 182.468772 \nL 217.085884 184.296388 \nL 217.773689 186.037072 \nL 218.585396 187.687398 \nL 219.522284 189.243162 \nL 220.58689 190.699234 \nL 221.782953 192.049427 \nL 223.115349 193.286341 \nL 224.590028 194.401172 \nL 226.213952 195.383517 \nL 227.995 196.221119 \nL 229.94188 196.89963 \nL 232.064002 197.402329 \nL 234.371321 197.709815 \nL 236.874127 197.799719 \nL 239.582795 197.6464 \nL 242.507433 197.22069 \nL 245.657452 196.489682 \nL 249.041019 195.416642 \nL 252.664353 193.961088 \nL 256.53086 192.07913 \nL 260.640081 189.724165 \nL 264.98641 186.84807 \nL 269.55759 183.403031 \nL 274.33297 179.34421 \nL 279.281591 174.633353 \nL 284.360085 169.243493 \nL 289.510625 163.164824 \nL 294.658991 156.411527 \nL 299.713111 149.029265 \nL 304.562422 141.102658 \nL 309.078434 132.761534 \nL 313.117095 124.184639 \nL 316.523251 115.59893 \nL 319.137619 107.272793 \nL 320.806263 99.502023 \nL 321.392063 92.588462 \nL 320.787294 86.812954 \nL 318.92574 82.406174 \nL 315.792485 79.522223 \nL 311.42955 78.22048 \nL 305.935888 78.459909 \nL 299.461369 80.107409 \nL 292.19526 82.95851 \nL 284.351083 86.765647 \nL 276.150023 91.268221 \nL 267.805405 96.218806 \nL 259.510106 101.401918 \nL 251.427926 106.644137 \nL 243.689149 111.816543 \nL 236.389781 116.831391 \nL 229.593561 121.635483 \nL 223.335776 126.202381 \nL 217.627971 130.52478 \nL 212.462846 134.607991 \nL 207.818895 138.464764 \nL 203.66451 142.111508 \nL 199.961429 145.565719 \nL 196.667518 148.844329 \nL 193.738942 151.962776 \nL 191.131778 154.934551 \nL 186.712212 160.481609 \nL 183.091405 165.553039 \nL 174.467024 178.208358 \nL 171.680979 181.574567 \nL 170.217416 183.084643 \nL 168.68557 184.471673 \nL 167.070654 185.728224 \nL 165.358616 186.845381 \nL 163.536018 187.812602 \nL 161.589961 188.617511 \nL 159.508043 189.24574 \nL 157.278377 189.680703 \nL 154.88966 189.903445 \nL 152.331322 189.892436 \nL 149.593721 189.623453 \nL 146.668472 189.069512 \nL 143.548841 188.200905 \nL 140.230291 186.985392 \nL 136.711129 185.38859 \nL 132.993324 183.374676 \nL 129.083484 180.907459 \nL 124.993959 177.951896 \nL 120.744142 174.476224 \nL 116.361827 170.454724 \nL 111.884666 165.871212 \nL 107.36159 160.723213 \nL 102.854017 155.026732 \nL 98.436728 148.821309 \nL 94.198133 142.174932 \nL 90.239637 135.188064 \nL 86.673812 127.995921 \nL 83.621156 120.767886 \nL 81.205187 113.703181 \nL 79.545933 107.021975 \nL 78.75207 100.951852 \nL 78.912294 95.710661 \nL 80.086784 91.487268 \nL 82.299937 88.423287 \nL 85.535505 86.598857 \nL 89.735105 86.025078 \nL 94.800667 86.645067 \nL 100.600637 88.343146 \nL 106.979252 90.960573 \nL 113.767576 94.314493 \nL 120.7948 98.216912 \nL 127.898472 102.490591 \nL 134.932554 106.980269 \nL 141.772916 111.558753 \nL 148.320089 116.128435 \nL 154.499716 120.619397 \nL 160.261188 124.985557 \nL 165.575082 129.199881 \nL 170.429964 133.249589 \nL 174.828973 137.131909 \nL 178.786516 140.850572 \nL 182.32528 144.413134 \nL 185.473632 147.829048 \nL 188.263468 151.108342 \nL 190.72849 154.260805 \nL 192.902865 157.295507 \nL 194.820229 160.220565 \nL 196.512975 163.043071 \nL 199.345297 168.40396 \nL 201.620368 173.416659 \nL 204.386763 180.339443 \nL 207.609878 188.53427 \nL 209.269703 192.20072 \nL 211.081855 195.575279 \nL 213.127596 198.644283 \nL 214.263025 200.057014 \nL 215.487037 201.383056 \nL 216.81014 202.616994 \nL 218.243242 203.752187 \nL 219.797736 204.780549 \nL 221.485568 205.692327 \nL 223.319287 206.475818 \nL 225.312074 207.11706 \nL 227.477734 207.599471 \nL 229.830656 207.903463 \nL 232.385717 208.006002 \nL 235.158128 207.880156 \nL 238.163205 207.494611 \nL 241.416013 206.813214 \nL 244.930902 205.794563 \nL 248.720863 204.391719 \nL 252.79669 202.552123 \nL 257.165905 200.217822 \nL 261.831365 197.326205 \nL 266.789573 193.811426 \nL 272.028597 189.606775 \nL 277.525642 184.648286 \nL 283.244222 178.879903 \nL 289.131124 172.260399 \nL 295.113222 164.772254 \nL 301.094492 156.432286 \nL 306.953666 147.303483 \nL 312.543133 137.506826 \nL 317.689765 127.231167 \nL 322.198616 116.738405 \nL 325.86017 106.360792 \nL 328.461643 96.48725 \nL 329.802334 87.536909 \nL 329.711874 79.920682 \nL 328.069544 73.994964 \nL 324.821606 70.015539 \nL 319.99334 68.101668 \nL 313.692753 68.219472 \nL 306.104438 70.189899 \nL 297.473903 73.719567 \nL 288.085025 78.446977 \nL 278.234587 83.992683 \nL 268.208217 90.00267 \nL 248.605788 102.289922 \nL 230.776456 113.747199 \nL 215.476361 123.766122 \nL 202.86707 132.315742 \nL 192.738973 139.600958 \nL 184.701322 145.864975 \nL 178.308411 151.307794 \nL 173.130211 156.067174 \nL 164.951824 163.816475 \nL 161.365883 166.845481 \nL 159.597785 168.141923 \nL 157.815853 169.286218 \nL 156.000517 170.2715 \nL 154.134557 171.089547 \nL 152.202958 171.730784 \nL 150.192781 172.184343 \nL 148.093122 172.4381 \nL 145.895095 172.478769 \nL 143.591908 172.292008 \nL 141.178969 171.862642 \nL 138.65408 171.174903 \nL 136.017689 170.212829 \nL 133.273219 168.9608 \nL 130.427428 167.404188 \nL 127.490862 165.530216 \nL 124.478296 163.329019 \nL 121.409218 160.794884 \nL 118.308268 157.927692 \nL 115.205645 154.734516 \nL 112.13735 151.231285 \nL 109.145289 147.444427 \nL 106.277073 143.412351 \nL 103.585497 139.186492 \nL 101.127628 134.831799 \nL 98.963362 130.426321 \nL 97.153547 126.059724 \nL 95.757552 121.83061 \nL 94.830493 117.842527 \nL 94.420139 114.198909 \nL 94.56382 110.997238 \nL 95.285561 108.323015 \nL 96.593703 106.244101 \nL 98.479419 104.806279 \nL 100.916243 104.030512 \nL 103.860762 103.912365 \nL 107.254525 104.423594 \nL 111.026907 105.51571 \nL 115.09874 107.124861 \nL 119.386268 109.177535 \nL 123.805161 111.596092 \nL 128.274119 114.303782 \nL 132.717903 117.228652 \nL 137.069597 120.306267 \nL 141.272044 123.481185 \nL 145.278533 126.707435 \nL 149.05279 129.948192 \nL 152.568458 133.174912 \nL 155.808212 136.366162 \nL 158.762596 139.506387 \nL 161.428805 142.584688 \nL 163.809416 145.593715 \nL 165.911178 148.528733 \nL 167.743915 151.386873 \nL 169.31955 154.166509 \nL 170.651269 156.866825 \nL 171.75282 159.487438 \nL 172.637947 162.028176 \nL 173.319939 164.488892 \nL 173.811294 166.869332 \nL 174.123454 169.16903 \nL 174.266635 171.387253 \nL 174.249703 173.522919 \nL 174.08011 175.57454 \nL 173.763853 177.540162 \nL 173.305486 179.417311 \nL 172.708126 181.202904 \nL 171.973496 182.893155 \nL 171.10197 184.483483 \nL 170.092632 185.968398 \nL 168.943333 187.341366 \nL 167.650767 188.594663 \nL 166.210552 189.719189 \nL 164.617314 190.7043 \nL 162.864798 191.537585 \nL 160.945994 192.204655 \nL 158.853284 192.688895 \nL 156.578635 192.971242 \nL 154.113832 193.029938 \nL 151.450778 192.84033 \nL 148.581855 192.374704 \nL 145.500388 191.602226 \nL 142.201213 190.488982 \nL 138.681386 188.998235 \nL 134.941019 187.090924 \nL 130.984307 184.72656 \nL 126.820714 181.864566 \nL 122.466356 178.466216 \nL 117.945523 174.497299 \nL 113.292338 169.9316 \nL 108.552441 164.755212 \nL 103.784619 158.971705 \nL 99.06211 152.607876 \nL 94.47342 145.719706 \nL 90.122316 138.397837 \nL 86.126604 130.771625 \nL 82.615399 123.010498 \nL 79.724541 115.32141 \nL 77.590064 107.94122 \nL 76.339856 101.123386 \nL 76.083971 95.119582 \nL 76.904543 90.157659 \nL 78.846506 86.419118 \nL 81.910559 84.019864 \nL 86.049769 82.997921 \nL 91.170589 83.311033 \nL 97.138622 84.844548 \nL 103.788306 87.428148 \nL 110.935299 90.857875 \nL 118.389734 94.919153 \nL 125.968522 99.406827 \nL 133.505433 104.139838 \nL 140.858105 108.969536 \nL 147.911799 113.78214 \nL 154.580307 118.496884 \nL 160.804617 123.061418 \nL 166.550045 127.446034 \nL 171.802577 131.637869 \nL 176.564914 135.635689 \nL 180.852654 139.445669 \nL 184.690819 143.078163 \nL 188.110884 146.545418 \nL 191.148306 149.860038 \nL 193.840569 153.034048 \nL 196.225678 156.078367 \nL 198.341042 159.002577 \nL 201.904768 164.522129 \nL 204.795531 169.643015 \nL 208.35672 176.644887 \nL 211.524555 182.875933 \nL 213.65688 186.603983 \nL 215.94337 189.977283 \nL 217.17735 191.523357 \nL 218.488455 192.969859 \nL 219.888876 194.311038 \nL 221.39073 195.539867 \nL 223.006178 196.64787 \nL 224.74751 197.624892 \nL 226.627205 198.458871 \nL 228.657957 199.135567 \nL 230.852657 199.638262 \nL 233.224346 199.947452 \nL 235.786083 200.040502 \nL 238.550766 199.891324 \nL 241.530855 199.470063 \nL 244.737992 198.742845 \nL 248.182486 197.671612 \nL 251.87265 196.214135 \nL 255.813955 194.324282 \nL 260.007967 191.952629 \nL 264.45104 189.047597 \nL 269.132767 185.557264 \nL 274.034158 181.431987 \nL 279.12557 176.628144 \nL 284.364487 171.113055 \nL 289.693195 164.871141 \nL 295.03663 157.911352 \nL 300.300599 150.275386 \nL 305.370844 142.046089 \nL 310.113379 133.354848 \nL 314.376616 124.386326 \nL 317.995906 115.378616 \nL 320.800774 106.616732 \nL 322.624982 98.418025 \nL 323.318957 91.109173 \nL 322.76366 84.99642 \nL 320.884079 80.332861 \nL 317.660387 77.288491 \nL 313.134514 75.929217 \nL 307.41052 76.210043 \nL 300.64813 77.984186 \nL 293.050122 81.026329 \nL 284.845542 85.064691 \nL 276.271351 89.814761 \nL 267.555351 95.008577 \nL 258.902402 100.415223 \nL 250.48522 105.851396 \nL 234.865065 116.322303 \nL 221.354072 125.84424 \nL 215.46083 130.200783 \nL 210.13488 134.295974 \nL 205.351128 138.146299 \nL 201.074317 141.771377 \nL 197.262659 145.19135 \nL 193.870737 148.425221 \nL 190.851723 151.489974 \nL 185.747442 157.167999 \nL 181.598177 162.313104 \nL 171.99799 174.94751 \nL 169.003989 178.236174 \nL 167.448333 179.693539 \nL 165.830497 181.017933 \nL 164.134747 182.201383 \nL 162.346414 183.234374 \nL 160.451783 184.105748 \nL 158.43801 184.802547 \nL 156.293106 185.309879 \nL 154.005961 185.610771 \nL 151.566449 185.686064 \nL 148.965591 185.514333 \nL 146.195807 185.071881 \nL 143.25125 184.332801 \nL 140.128267 183.269229 \nL 136.825949 181.851703 \nL 133.346816 180.049839 \nL 129.69762 177.833278 \nL 125.890295 175.173031 \nL 121.942976 172.043288 \nL 117.881141 168.423708 \nL 113.738776 164.302303 \nL 109.559468 159.678806 \nL 105.39735 154.568505 \nL 101.317778 149.006203 \nL 97.397427 143.050074 \nL 93.723754 136.784815 \nL 90.393498 130.323418 \nL 87.510054 123.806861 \nL 85.179565 117.400906 \nL 83.505796 111.289522 \nL 82.583907 105.664841 \nL 82.493554 100.714068 \nL 83.291978 96.604729 \nL 85.00792 93.469958 \nL 87.63716 91.396337 \nL 91.14055 90.416202 \nL 95.445002 90.506054 \nL 100.44749 91.591285 \nL 106.021629 93.556488 \nL 112.026111 96.259211 \nL 118.31375 99.544877 \nL 124.740233 103.260432 \nL 131.171553 107.26512 \nL 137.489561 111.437558 \nL 143.59544 115.679071 \nL 149.411189 119.913991 \nL 154.879431 124.087756 \nL 159.961978 128.163764 \nL 164.637595 132.119767 \nL 168.899355 135.944323 \nL 172.751879 139.633672 \nL 176.208702 143.189177 \nL 179.289888 146.615325 \nL 182.019959 149.918298 \nL 184.426171 153.105 \nL 186.537127 156.182375 \nL 188.381684 159.157044 \nL 189.98814 162.035087 \nL 191.383641 164.821993 \nL 192.593786 167.522626 \nL 194.551264 172.681742 \nL 196.027655 177.541104 \nL 197.159504 182.123374 \nL 198.443053 188.516792 \nL 201.094111 203.073526 \nL 202.24672 207.695074 \nL 203.161689 210.540313 \nL 204.236299 213.199476 \nL 205.511208 215.670679 \nL 207.033205 217.946956 \nL 208.857311 220.014227 \nL 209.902646 220.962448 \nL 211.049007 221.848372 \nL 212.306597 222.666714 \nL 213.686573 223.410923 \nL 215.201116 224.072936 \nL 216.863515 224.642892 \nL 218.688217 225.108766 \nL 220.690893 225.45596 \nL 222.888463 225.66682 \nL 225.299109 225.720062 \nL 227.942227 225.590126 \nL 230.838341 225.246435 \nL 234.008918 224.652569 \nL 237.476076 223.76539 \nL 241.262148 222.534124 \nL 245.389033 220.899461 \nL 249.877303 218.792809 \nL 254.74496 216.135808 \nL 260.005789 212.84035 \nL 265.667202 208.80943 \nL 271.727451 203.939221 \nL 278.172159 198.122962 \nL 284.970109 191.257277 \nL 292.068268 183.251647 \nL 299.386275 174.041676 \nL 306.810616 163.606463 \nL 314.189219 151.989735 \nL 321.327339 139.323266 \nL 327.986215 125.849335 \nL 333.886111 111.93702 \nL 338.715722 98.085096 \nL 342.149416 84.903861 \nL 343.872778 73.06962 \nL 343.615251 63.25152 \nL 341.185999 56.019006 \nL 336.506683 51.748478 \nL 329.633639 50.553904 \nL 320.76263 52.263903 \nL 310.21291 56.455387 \nL 298.392819 62.534947 \nL 285.753951 69.843713 \nL 235.163333 100.586038 \nL 223.961355 107.050801 \nL 213.648822 112.796164 \nL 204.266253 117.839633 \nL 188.242954 126.043204 \nL 175.543282 132.199334 \nL 161.496798 138.689523 \nL 151.76207 142.927816 \nL 146.880115 144.852709 \nL 142.865704 146.193717 \nL 139.455276 147.018109 \nL 136.457528 147.368311 \nL 133.741588 147.274246 \nL 131.226454 146.762349 \nL 128.871992 145.862526 \nL 126.671233 144.613614 \nL 124.643585 143.067527 \nL 122.828356 141.291886 \nL 121.278135 139.370701 \nL 120.05174 137.402604 \nL 119.206626 135.496432 \nL 118.791124 133.764124 \nL 118.755261 132.996827 \nL 118.837107 132.31182 \nL 119.037072 131.719894 \nL 119.35391 131.230323 \nL 119.784648 130.85067 \nL 120.32458 130.58662 \nL 120.967342 130.441873 \nL 121.704988 130.418126 \nL 123.426199 130.730604 \nL 125.399706 131.500034 \nL 127.524619 132.677703 \nL 129.69572 134.197182 \nL 131.810954 135.98167 \nL 133.77763 137.950486 \nL 135.516544 140.023962 \nL 136.964151 142.126486 \nL 138.072898 144.187981 \nL 138.810283 146.144115 \nL 139.157156 147.935796 \nL 139.105848 149.508388 \nL 138.931181 150.196461 \nL 138.658432 150.810893 \nL 138.289187 151.345801 \nL 137.825517 151.795498 \nL 137.269992 152.154513 \nL 136.625675 152.417629 \nL 135.896164 152.579915 \nL 135.085609 152.636779 \nL 133.24099 152.418177 \nL 131.137864 151.735577 \nL 128.834343 150.575155 \nL 126.402301 148.940415 \nL 123.928488 146.857733 \nL 121.514443 144.381867 \nL 119.274573 141.600074 \nL 117.331683 138.633506 \nL 115.809525 135.633985 \nL 115.242687 134.175635 \nL 114.822601 132.775117 \nL 114.560131 131.455125 \nL 114.464022 130.237616 \nL 114.540538 129.143171 \nL 114.793154 128.190363 \nL 115.222341 127.395199 \nL 115.825423 126.770619 \nL 116.596553 126.326146 \nL 117.52676 126.067662 \nL 118.604167 125.997353 \nL 119.814277 126.113796 \nL 121.140324 126.41217 \nL 122.563735 126.884638 \nL 124.064635 127.52078 \nL 127.21584 129.232423 \nL 130.427755 131.431146 \nL 133.543676 133.991161 \nL 136.427101 136.788951 \nL 138.96785 139.710901 \nL 141.083814 142.656607 \nL 142.71926 145.538992 \nL 143.841012 148.282359 \nL 144.203893 149.580693 \nL 144.433731 150.81962 \nL 144.530634 151.991619 \nL 144.495288 153.089336 \nL 144.328855 154.105542 \nL 144.03291 155.033052 \nL 143.609376 155.864698 \nL 143.060507 156.59327 \nL 142.388873 157.211521 \nL 141.597375 157.712156 \nL 140.689289 158.087853 \nL 139.668318 158.33129 \nL 138.538674 158.43523 \nL 137.305174 158.392616 \nL 135.97336 158.196692 \nL 134.549627 157.84118 \nL 133.04136 157.320462 \nL 131.457097 156.629863 \nL 129.806677 155.765906 \nL 128.101387 154.726663 \nL 126.354113 153.512126 \nL 124.579446 152.124608 \nL 122.793777 150.569144 \nL 121.015347 148.85392 \nL 119.264218 146.990662 \nL 117.562174 144.994963 \nL 115.932564 142.88653 \nL 114.399998 140.689272 \nL 112.989953 138.431262 \nL 111.72828 136.14446 \nL 110.640556 133.864193 \nL 109.751382 131.628423 \nL 109.083569 129.476716 \nL 108.657263 127.449049 \nL 108.489131 125.584395 \nL 108.591505 123.919296 \nL 108.971714 122.48638 \nL 109.631506 121.313062 \nL 110.566731 120.420441 \nL 111.76723 119.822537 \nL 113.217015 119.525936 \nL 114.894684 119.52979 \nL 116.77412 119.826271 \nL 118.825353 120.40136 \nL 121.015575 121.235884 \nL 123.310239 122.306736 \nL 125.67415 123.588105 \nL 128.072526 125.052732 \nL 130.471891 126.672965 \nL 132.840896 128.421708 \nL 135.150899 130.273105 \nL 137.37638 132.203059 \nL 139.495195 134.189526 \nL 141.488653 136.212637 \nL 143.341448 138.254718 \nL 145.041496 140.300147 \nL 146.579665 142.335213 \nL 147.949475 144.347851 \nL 149.146743 146.327433 \nL 150.169231 148.264503 \nL 151.016284 150.15055 \nL 151.688507 151.977797 \nL 152.187448 153.738974 \nL 152.515333 155.427162 \nL 152.67482 157.035611 \nL 152.668806 158.557607 \nL 152.500271 159.986352 \nL 152.17215 161.314831 \nL 151.687257 162.535722 \nL 151.048232 163.641318 \nL 150.257532 164.623439 \nL 149.317445 165.473369 \nL 148.230146 166.181815 \nL 146.997783 166.738887 \nL 145.622575 167.134084 \nL 144.106982 167.356325 \nL 142.453863 167.394006 \nL 140.666697 167.23512 \nL 138.749816 166.86743 \nL 136.708692 166.278699 \nL 134.550239 165.457004 \nL 132.283143 164.391179 \nL 129.918236 163.071324 \nL 127.468844 161.489465 \nL 124.951177 159.64032 \nL 122.384677 157.522167 \nL 119.792335 155.13784 \nL 117.200943 152.495775 \nL 114.641224 149.611086 \nL 112.147827 146.506546 \nL 109.759122 143.213438 \nL 107.516789 139.772116 \nL 105.46507 136.232146 \nL 103.64978 132.6519 \nL 102.116948 129.0975 \nL 100.911225 125.641027 \nL 100.073995 122.357974 \nL 99.641356 119.324077 \nL 99.642094 116.61166 \nL 100.09577 114.285849 \nL 101.011143 112.400942 \nL 102.385051 110.997357 \nL 104.201922 110.099487 \nL 106.434021 109.714764 \nL 109.042368 109.833956 \nL 111.978395 110.432741 \nL 115.186068 111.474194 \nL 118.604403 112.911999 \nL 122.170122 114.693901 \nL 125.820188 116.765107 \nL 129.49412 119.071246 \nL 133.135906 121.560729 \nL 136.695413 124.186446 \nL 140.129327 126.906785 \nL 143.401595 129.686043 \nL 146.483461 132.49435 \nL 149.353167 135.307282 \nL 151.995393 138.105261 \nL 154.400536 140.872847 \nL 156.563889 143.598008 \nL 158.484807 146.271425 \nL 160.165874 148.885898 \nL 161.612124 151.435799 \nL 162.830342 153.916615 \nL 163.828439 156.324621 \nL 164.614931 158.656546 \nL 165.198479 160.909357 \nL 165.587545 163.080084 \nL 165.790097 165.165635 \nL 165.813397 167.162687 \nL 165.663829 169.067557 \nL 165.346809 170.876101 \nL 164.866699 172.583608 \nL 164.226792 174.184692 \nL 163.429303 175.673204 \nL 162.475405 177.042079 \nL 161.365275 178.283249 \nL 160.098173 179.3875 \nL 158.672543 180.344342 \nL 157.086125 181.141869 \nL 155.336125 181.766646 \nL 153.419381 182.203549 \nL 151.332594 182.435699 \nL 149.072588 182.444357 \nL 146.636627 182.208927 \nL 144.022794 181.706973 \nL 141.230441 180.914413 \nL 138.260718 179.805777 \nL 135.117191 178.354715 \nL 131.806552 176.534704 \nL 128.33942 174.320044 \nL 124.731239 171.687228 \nL 121.003228 168.616687 \nL 117.18338 165.094992 \nL 113.307422 161.117434 \nL 109.419711 156.691035 \nL 105.573876 151.837744 \nL 101.833183 146.597683 \nL 98.270338 141.032066 \nL 94.966678 135.225257 \nL 92.010465 129.285554 \nL 89.494266 123.343966 \nL 87.511255 117.550585 \nL 86.150561 112.068167 \nL 85.491871 107.063064 \nL 85.599643 102.694103 \nL 86.51751 99.100446 \nL 88.263583 96.390067 \nL 90.827224 94.630568 \nL 94.167994 93.843874 \nL 98.216934 94.005748 \nL 102.880315 95.050215 \nL 108.045339 96.87819 \nL 113.587173 99.368598 \nL 119.376506 102.390223 \nL 125.286696 105.812688 \nL 131.199897 109.515054 \nL 137.011674 113.391696 \nL 142.633947 117.355209 \nL 147.996336 121.336972 \nL 153.046118 125.285909 \nL 157.747168 129.166182 \nL 162.078166 132.954384 \nL 166.030451 136.636763 \nL 169.605725 140.206638 \nL 172.813816 143.662279 \nL 175.670616 147.005186 \nL 178.196271 150.238801 \nL 180.41364 153.367594 \nL 182.347025 156.396446 \nL 184.021171 159.33024 \nL 185.460491 162.173633 \nL 186.688484 164.930925 \nL 187.727336 167.60603 \nL 188.597648 170.202467 \nL 189.906277 175.171618 \nL 190.743463 179.859926 \nL 191.210045 184.284972 \nL 191.381118 188.461443 \nL 191.309434 192.401804 \nL 191.028853 196.116623 \nL 190.55738 199.61466 \nL 189.899584 202.902663 \nL 189.048299 205.984967 \nL 187.985641 208.862817 \nL 186.683373 211.533319 \nL 185.102665 213.987934 \nL 183.193348 216.210254 \nL 182.096386 217.226263 \nL 180.892682 218.172806 \nL 179.572171 219.043962 \nL 178.123794 219.832446 \nL 176.535441 220.529339 \nL 174.7939 221.123788 \nL 172.884816 221.602619 \nL 170.792663 221.94994 \nL 168.500738 222.146618 \nL 165.991199 222.169723 \nL 163.245144 221.991881 \nL 160.242762 221.580546 \nL 156.963584 220.89723 \nL 153.386852 219.896696 \nL 149.49207 218.526152 \nL 145.259746 216.724549 \nL 140.672452 214.422092 \nL 135.716209 211.540127 \nL 130.382305 207.991683 \nL 124.66964 203.682973 \nL 118.587669 198.516339 \nL 112.159984 192.395129 \nL 105.428561 185.231126 \nL 98.458587 176.955147 \nL 91.34361 167.531113 \nL 84.210606 156.973625 \nL 77.224194 145.368125 \nL 70.588964 132.891543 \nL 64.548528 119.829628 \nL 59.379672 106.585526 \nL 55.380136 93.672922 \nL 52.849096 81.687666 \nL 52.0607 71.254799 \nL 53.232878 62.954268 \nL 56.4959 57.236788 \nL 61.866812 54.348846 \nL 69.236238 54.287974 \nL 78.37215 56.803611 \nL 88.941615 61.445246 \nL 100.546526 67.644528 \nL 112.766 74.807555 \nL 160.564577 103.945884 \nL 171.006779 110.05946 \nL 189.303268 120.383308 \nL 204.157826 128.428053 \nL 232.448605 143.352019 \nL 240.725816 147.587812 \nL 245.077016 149.586508 \nL 248.850044 150.99553 \nL 250.590954 151.487379 \nL 252.264328 151.839414 \nL 253.887586 152.052115 \nL 255.474726 152.125516 \nL 257.036564 152.059488 \nL 258.580964 151.85399 \nL 260.113043 151.509294 \nL 261.635353 151.026249 \nL 263.148023 150.406541 \nL 264.648907 149.652904 \nL 266.13375 148.769386 \nL 267.596285 147.761573 \nL 270.420275 145.404393 \nL 273.036848 142.664323 \nL 275.341707 139.658936 \nL 277.219182 136.53982 \nL 277.961162 134.992825 \nL 278.553706 133.486064 \nL 278.984649 132.044036 \nL 279.243606 130.690988 \nL 279.322426 129.450186 \nL 279.215582 128.343254 \nL 278.920503 127.389479 \nL 278.437799 126.605199 \nL 277.771423 126.003331 \nL 276.928665 125.592993 \nL 275.92008 125.379341 \nL 274.759237 125.363524 \nL 273.462385 125.542851 \nL 272.048038 125.911089 \nL 270.536463 126.458894 \nL 268.949148 127.174303 \nL 265.636007 129.050518 \nL 262.284228 131.413453 \nL 259.056586 134.12957 \nL 256.092307 137.070429 \nL 253.501515 140.11992 \nL 251.364278 143.176896 \nL 249.733147 146.154563 \nL 248.637739 148.977968 \nL 248.295222 150.31084 \nL 248.09003 151.580751 \nL 248.021721 152.780215 \nL 248.089323 153.901885 \nL 248.291436 154.938507 \nL 248.626297 155.882828 \nL 249.091837 156.72756 \nL 249.685701 157.465346 \nL 250.405248 158.088735 \nL 251.247538 158.590176 \nL 252.209278 158.962053 \nL 253.286762 159.19672 \nL 254.475773 159.286564 \nL 255.771481 159.224108 \nL 257.168311 159.002149 \nL 258.659803 158.613958 \nL 260.238439 158.053461 \nL 261.895496 157.315538 \nL 263.620858 156.396326 \nL 265.402855 155.293582 \nL 267.228104 154.007084 \nL 269.081386 152.539073 \nL 270.94551 150.894733 \nL 272.801301 149.082627 \nL 274.627592 147.115138 \nL 276.401316 145.008845 \nL 278.097719 142.784791 \nL 279.690645 140.468615 \nL 281.152975 138.09048 \nL 282.457186 135.684752 \nL 283.576038 133.28948 \nL 284.483367 130.945506 \nL 285.15499 128.69534 \nL 285.569617 126.581829 \nL 285.709823 124.646565 \nL 285.562911 122.928302 \nL 285.121673 121.461328 \nL 284.384992 120.274041 \nL 283.358175 119.387775 \nL 282.053013 118.816034 \nL 280.487572 118.564145 \nL 278.68564 118.629393 \nL 276.675966 119.001604 \nL 274.491263 119.664088 \nL 272.167047 120.594861 \nL 269.740433 121.768034 \nL 267.248959 123.15521 \nL 264.72943 124.726783 \nL 262.216957 126.453156 \nL 259.744144 128.30565 \nL 257.340496 130.257219 \nL 255.032013 132.282951 \nL 252.840981 134.360306 \nL 250.785948 136.469194 \nL 248.881832 138.59192 \nL 247.140158 140.713019 \nL 245.569357 142.819038 \nL 244.175138 144.89826 \nL 242.960869 146.940426 \nL 241.927977 148.936476 \nL 241.076332 150.878282 \nL 240.404591 152.758437 \nL 239.910547 154.570004 \nL 239.59139 156.306371 \nL 239.443969 157.961048 \nL 239.464984 159.527551 \nL 239.65115 160.999252 \nL 239.999319 162.369275 \nL 240.506558 163.630373 \nL 241.170194 164.774866 \nL 241.987827 165.794523 \nL 242.957307 166.680532 \nL 244.076672 167.423423 \nL 245.34407 168.013036 \nL 246.757623 168.438498 \nL 248.315294 168.688255 \nL 250.014696 168.750103 \nL 251.852859 168.611317 \nL 253.82599 168.258768 \nL 255.929178 167.679191 \nL 258.156061 166.859492 \nL 260.498483 165.78715 \nL 262.946088 164.450792 \nL 265.485932 162.840827 \nL 268.102049 160.950293 \nL 270.775059 158.775772 \nL 273.481788 156.318472 \nL 276.19498 153.585381 \nL 278.883074 150.590485 \nL 281.51017 147.355902 \nL 284.036169 143.912918 \nL 286.41718 140.302699 \nL 288.606223 136.576619 \nL 290.554268 132.795953 \nL 292.211652 129.030864 \nL 293.529777 125.358574 \nL 294.463185 121.860627 \nL 294.971762 118.619459 \nL 295.023028 115.71432 \nL 294.594305 113.21701 \nL 293.674537 111.187698 \nL 292.265633 109.671396 \nL 290.383088 108.695475 \nL 288.055799 108.26848 \nL 285.325091 108.380393 \nL 282.242928 109.004374 \nL 278.869548 110.099624 \nL 275.270658 111.614984 \nL 271.514492 113.492938 \nL 267.668954 115.673419 \nL 263.799049 118.097114 \nL 259.964782 120.708178 \nL 256.219599 123.456016 \nL 252.609388 126.296361 \nL 249.172022 129.191651 \nL 245.937378 132.110869 \nL 242.927698 135.029042 \nL 240.158259 137.926482 \nL 237.63819 140.787979 \nL 235.371384 143.601964 \nL 233.35744 146.359744 \nL 231.592577 149.054811 \nL 230.070476 151.682267 \nL 228.783048 154.238359 \nL 227.721084 156.720083 \nL 226.874835 159.124904 \nL 226.234466 161.450491 \nL 225.79044 163.694568 \nL 225.533812 165.854727 \nL 225.456452 167.92834 \nL 225.551206 169.912426 \nL 225.812008 171.803568 \nL 226.233945 173.597793 \nL 226.813293 175.290511 \nL 227.547507 176.876377 \nL 228.435209 178.349191 \nL 229.476134 179.701803 \nL 230.671068 180.925931 \nL 232.021752 182.012078 \nL 233.530795 182.949334 \nL 235.201522 183.725255 \nL 237.037838 184.325702 \nL 239.044023 184.734687 \nL 241.224521 184.934234 \nL 243.583658 184.904294 \nL 246.125308 184.622688 \nL 248.8525 184.065121 \nL 251.766942 183.205334 \nL 254.868451 182.015375 \nL 258.154278 180.466103 \nL 261.618353 178.527928 \nL 265.250362 176.171904 \nL 269.034795 173.371193 \nL 272.94984 170.103023 \nL 276.966254 166.351115 \nL 281.04626 162.10865 \nL 285.142506 157.381685 \nL 289.197262 152.192879 \nL 293.141973 146.585274 \nL 296.897401 140.625711 \nL 300.374522 134.407356 \nL 303.476392 128.050609 \nL 306.101139 121.701733 \nL 308.146205 115.528553 \nL 309.513688 109.712863 \nL 310.116595 104.439642 \nL 309.885496 99.883886 \nL 308.774917 96.196352 \nL 306.76864 93.490323 \nL 303.883105 91.831416 \nL 300.168292 91.232219 \nL 295.705736 91.652979 \nL 290.603764 93.008006 \nL 284.990492 95.176755 \nL 279.005504 98.017408 \nL 272.791174 101.380833 \nL 266.484695 105.122748 \nL 260.211487 109.112878 \nL 254.080522 113.24056 \nL 248.181604 117.417023 \nL 242.584447 121.574979 \nL 237.339242 125.666471 \nL 232.478283 129.659735 \nL 228.018238 133.535803 \nL 223.96272 137.285219 \nL 220.30491 140.905244 \nL 217.030025 144.397556 \nL 214.117531 147.766531 \nL 211.543043 151.017967 \nL 209.279897 154.158219 \nL 207.300421 157.193657 \nL 205.576911 160.130336 \nL 204.082367 162.973833 \nL 202.791019 165.729164 \nL 201.678678 168.400808 \nL 199.903354 173.508481 \nL 198.600166 178.323645 \nL 197.642732 182.867866 \nL 196.643669 189.214773 \nL 195.771793 196.878015 \nL 194.414808 209.823106 \nL 193.789413 213.961014 \nL 193.000324 217.74958 \nL 192.348845 220.090732 \nL 191.568468 222.288628 \nL 190.629651 224.344599 \nL 189.496878 226.256976 \nL 188.127111 228.01984 \nL 186.468007 229.621236 \nL 184.45584 231.04049 \nL 182.013097 232.244236 \nL 180.601615 232.750014 \nL 179.045809 233.180591 \nL 177.330893 233.52519 \nL 175.440703 233.770618 \nL 173.357624 233.900765 \nL 171.062534 233.896029 \nL 168.534792 233.73262 \nL 165.75225 233.381765 \nL 162.691356 232.808792 \nL 159.327336 231.972109 \nL 155.634511 230.82206 \nL 151.586802 229.299757 \nL 147.158463 227.335899 \nL 142.325153 224.849748 \nL 137.065392 221.748423 \nL 131.362585 217.926835 \nL 125.207671 213.268663 \nL 118.602578 207.64897 \nL 111.564573 200.939212 \nL 104.13161 193.015551 \nL 96.368663 183.771465 \nL 88.374769 173.135558 \nL 80.290422 161.094911 \nL 72.304305 147.723387 \nL 64.658041 133.212397 \nL 57.646958 117.899049 \nL 51.614391 102.283551 \nL 46.937021 87.025201 \nL 43.999405 72.906136 \nL 43.157727 60.756368 \nL 44.695638 51.343715 \nL 48.778959 45.246976 \nL 55.418926 42.744048 \nL 64.454525 43.751056 \nL 75.561108 47.836622 \nL 88.285882 54.310685 \nL 102.102996 62.359764 \nL 144.989385 88.642333 \nL 158.404975 96.454792 \nL 170.941748 103.390106 \nL 182.475657 109.403878 \nL 192.954898 114.527881 \nL 202.381576 118.836861 \nL 210.794962 122.424618 \nL 218.257677 125.388702 \nL 224.845125 127.821646 \nL 230.637881 129.806742 \nL 240.158267 132.713251 \nL 247.412796 134.56858 \nL 252.900558 135.700072 \nL 257.018275 136.340085 \nL 261.274228 136.733329 \nL 264.436139 136.772603 \nL 265.807226 136.806602 \nL 265.827814 136.942373 \nL 265.489817 137.3328 \nL 263.849631 139.080943 \nL 262.906058 140.416915 \nL 262.390563 141.440786 \nL 262.119358 142.38819 \nL 262.134176 143.177136 \nL 262.310983 143.578756 \nL 262.619085 143.859411 \nL 263.050674 144.004577 \nL 263.592963 144.003926 \nL 264.574376 143.719032 \nL 265.687114 143.100301 \nL 266.835663 142.184789 \nL 267.912348 141.043105 \nL 268.806228 139.777254 \nL 269.41473 138.513013 \nL 269.657113 137.386615 \nL 269.59083 136.776816 \nL 269.337553 136.318607 \nL 268.90391 136.037044 \nL 268.305999 135.948159 \nL 267.568633 136.058034 \nL 266.724005 136.362702 \nL 265.339127 137.153455 \nL 263.936358 138.27289 \nL 262.6531 139.614977 \nL 261.611472 141.058477 \nL 260.907956 142.478179 \nL 260.660297 143.351437 \nL 260.603586 144.126895 \nL 260.742196 144.773938 \nL 261.073974 145.26529 \nL 261.590359 145.577675 \nL 262.276488 145.692559 \nL 263.111338 145.597055 \nL 264.067844 145.284944 \nL 265.113144 144.757795 \nL 266.208958 144.026038 \nL 267.852322 142.591813 \nL 269.353131 140.856833 \nL 270.193516 139.610781 \nL 270.851955 138.359206 \nL 271.288411 137.16398 \nL 271.47168 136.08751 \nL 271.382209 135.188338 \nL 271.014385 134.516674 \nL 270.377759 134.110498 \nL 269.497055 133.992779 \nL 268.410843 134.17018 \nL 267.169052 134.633348 \nL 265.829525 135.358571 \nL 264.45415 136.310497 \nL 263.10499 137.445295 \nL 261.840846 138.713835 \nL 260.714559 140.064469 \nL 259.77107 141.445282 \nL 259.046379 142.805618 \nL 258.567164 144.09717 \nL 258.35091 145.274531 \nL 258.40629 146.29561 \nL 258.733673 147.121886 \nL 259.325533 147.718839 \nL 260.166709 148.056607 \nL 261.234427 148.110902 \nL 262.498145 147.864425 \nL 263.919358 147.30863 \nL 265.451339 146.445777 \nL 267.039277 145.291205 \nL 268.620807 143.875357 \nL 270.127386 142.245293 \nL 271.486605 140.464976 \nL 272.625665 138.613981 \nL 273.475896 136.78407 \nL 273.978094 135.073634 \nL 274.088124 133.58024 \nL 273.987674 132.94314 \nL 273.781983 132.392252 \nL 273.471806 131.935857 \nL 273.059512 131.580714 \nL 272.549065 131.331942 \nL 271.945983 131.192916 \nL 271.257231 131.165246 \nL 269.657014 131.441688 \nL 267.827294 132.140637 \nL 265.85872 133.219068 \nL 263.846605 134.617462 \nL 261.884168 136.26611 \nL 260.056915 138.090857 \nL 258.438709 140.017556 \nL 257.089602 141.975017 \nL 256.055227 143.896535 \nL 255.367372 145.720417 \nL 255.045269 147.389721 \nL 255.097106 148.851754 \nL 255.521469 150.057529 \nL 255.87054 150.549969 \nL 256.30836 150.961557 \nL 256.832417 151.28719 \nL 257.439695 151.522028 \nL 258.126649 151.661559 \nL 259.722609 151.638677 \nL 261.580247 151.191583 \nL 263.648814 150.303818 \nL 265.865502 148.973429 \nL 268.154441 147.217553 \nL 270.426509 145.077211 \nL 272.580572 142.621247 \nL 274.506728 139.948326 \nL 276.091929 137.18557 \nL 277.22807 134.48271 \nL 277.597771 133.204141 \nL 277.822066 132.001243 \nL 277.893443 130.893575 \nL 277.806647 129.899412 \nL 277.558912 129.035215 \nL 277.150162 128.315164 \nL 276.583118 127.750737 \nL 275.863301 127.35041 \nL 274.998974 127.119485 \nL 274.000964 127.060018 \nL 272.882417 127.170903 \nL 271.658477 127.448073 \nL 270.345887 127.884753 \nL 267.527205 129.198451 \nL 264.576071 131.019129 \nL 261.640615 133.237215 \nL 258.856157 135.738516 \nL 256.337563 138.413081 \nL 254.175483 141.160328 \nL 252.436002 143.890918 \nL 251.162822 146.52626 \nL 250.380813 148.99668 \nL 250.177604 150.150139 \nL 250.100001 151.239087 \nL 250.147539 152.256286 \nL 250.319236 153.194621 \nL 250.613672 154.047077 \nL 251.029014 154.806692 \nL 251.563046 155.466538 \nL 252.213186 156.019696 \nL 252.976451 156.459288 \nL 253.849438 156.778489 \nL 254.828262 156.970585 \nL 255.908486 157.029042 \nL 257.085044 156.947608 \nL 258.352119 156.720443 \nL 259.703046 156.342288 \nL 261.13019 155.808656 \nL 262.624802 155.11607 \nL 264.176908 154.26233 \nL 265.775187 153.2468 \nL 267.406858 152.070767 \nL 269.057612 150.737766 \nL 270.711552 149.253913 \nL 272.35119 147.628276 \nL 273.957513 145.873137 \nL 275.51009 144.004269 \nL 276.987276 142.041045 \nL 278.366529 140.006466 \nL 279.624758 137.927038 \nL 280.738842 135.832436 \nL 281.686186 133.754986 \nL 282.445364 131.728963 \nL 282.996844 129.789657 \nL 283.323703 127.972293 \nL 283.412346 126.310859 \nL 283.253163 124.836863 \nL 282.841083 123.578154 \nL 282.176014 122.557863 \nL 281.263035 121.793537 \nL 280.112457 121.296576 \nL 278.739591 121.071971 \nL 277.164365 121.118396 \nL 275.410704 121.428588 \nL 273.50576 121.990027 \nL 271.479055 122.785807 \nL 269.36154 123.79565 \nL 267.184669 124.996922 \nL 264.979522 126.365651 \nL 262.776025 127.877422 \nL 258.484079 131.234733 \nL 254.503714 134.88993 \nL 250.984389 138.689317 \nL 249.43153 140.602794 \nL 248.02918 142.507313 \nL 246.783819 144.391099 \nL 245.699869 146.243618 \nL 244.779991 148.055348 \nL 244.025378 149.81763 \nL 243.436054 151.522431 \nL 243.011125 153.162198 \nL 242.74902 154.729694 \nL 242.647696 156.217847 \nL 242.704809 157.619624 \nL 242.917848 158.927926 \nL 243.284234 160.135483 \nL 243.801403 161.234767 \nL 244.466821 162.217917 \nL 245.278007 163.076676 \nL 246.23249 163.802361 \nL 247.327761 164.385843 \nL 248.561178 164.817531 \nL 249.929858 165.087396 \nL 251.430519 165.185049 \nL 253.059316 165.09983 \nL 254.811623 164.820965 \nL 256.681806 164.337774 \nL 258.662966 163.639956 \nL 260.746651 162.717927 \nL 262.922565 161.563312 \nL 265.17824 160.169439 \nL 267.498747 158.532018 \nL 269.866392 156.649834 \nL 272.260457 154.525583 \nL 274.657008 152.166725 \nL 277.028766 149.586328 \nL 279.345136 146.803918 \nL 281.572362 143.846129 \nL 283.673873 140.747206 \nL 285.610878 137.549158 \nL 287.343167 134.301473 \nL 288.830191 131.060356 \nL 290.032371 127.887373 \nL 290.912603 124.847525 \nL 291.437937 122.006761 \nL 291.581238 119.429139 \nL 291.322813 117.173723 \nL 290.651814 115.291607 \nL 289.567298 113.823178 \nL 288.078806 112.79613 \nL 286.206395 112.224235 \nL 283.98012 112.107115 \nL 281.438892 112.431035 \nL 278.628915 113.170491 \nL 275.601729 114.290559 \nL 272.412052 115.749552 \nL 269.115638 117.501805 \nL 265.767211 119.500253 \nL 262.418694 121.698701 \nL 259.117763 124.05356 \nL 255.90681 126.525059 \nL 252.822305 129.077931 \nL 249.894516 131.681699 \nL 247.147556 134.310567 \nL 244.599694 136.943118 \nL 242.263845 139.561796 \nL 240.148185 142.152392 \nL 238.256839 144.703458 \nL 236.590579 147.205761 \nL 235.147511 149.651799 \nL 233.923716 152.035381 \nL 232.913838 154.35124 \nL 232.111596 156.594751 \nL 231.510229 158.76165 \nL 231.102855 160.847843 \nL 230.882787 162.849228 \nL 230.843761 164.761532 \nL 230.980117 166.580198 \nL 231.28693 168.300243 \nL 231.760097 169.91616 \nL 232.396377 171.421808 \nL 233.193402 172.810302 \nL 234.149668 174.073893 \nL 235.264467 175.203861 \nL 236.537818 176.190419 \nL 237.970364 177.022588 \nL 239.563237 177.688086 \nL 241.317885 178.173255 \nL 243.235876 178.462996 \nL 245.318657 178.540705 \nL 247.567258 178.388302 \nL 249.981965 177.986314 \nL 252.561903 177.314033 \nL 255.304591 176.34981 \nL 258.205393 175.071507 \nL 261.256931 173.457132 \nL 264.448387 171.48572 \nL 267.76479 169.138475 \nL 271.186212 166.400228 \nL 274.687009 163.261227 \nL 278.235028 159.719219 \nL 281.790947 155.7818 \nL 285.307771 151.468932 \nL 288.730646 146.815445 \nL 291.997021 141.873218 \nL 295.037352 136.712784 \nL 297.77647 131.423909 \nL 300.135698 126.114704 \nL 302.035723 120.90895 \nL 303.400226 115.9414 \nL 304.160111 111.35108 \nL 304.258053 107.272965 \nL 303.652964 103.828747 \nL 302.32389 101.117786 \nL 300.272878 99.209396 \nL 297.526302 98.13773 \nL 294.134448 97.899997 \nL 290.169224 98.458361 \nL 285.720209 99.745168 \nL 280.889487 101.670566 \nL 275.785804 104.131394 \nL 270.51871 107.019936 \nL 265.193241 110.231542 \nL 259.90557 113.670467 \nL 254.739858 117.253504 \nL 249.76641 120.91175 \nL 245.040951 124.590626 \nL 240.604933 128.248846 \nL 236.486521 131.856633 \nL 232.702084 135.393674 \nL 229.257948 138.847072 \nL 226.152216 142.209496 \nL 223.376532 145.477572 \nL 220.917727 148.650631 \nL 218.759265 151.729753 \nL 216.882469 154.717028 \nL 215.267553 157.615051 \nL 213.894442 160.426612 \nL 212.743413 163.154453 \nL 211.795582 165.80116 \nL 211.033255 168.369071 \nL 210.440161 170.860266 \nL 210.001611 173.276554 \nL 209.704572 175.619457 \nL 209.537697 177.890236 \nL 209.557376 182.219084 \nL 210.002519 186.267662 \nL 210.839124 190.03574 \nL 211.399652 191.812982 \nL 212.055115 193.51733 \nL 212.807099 195.146871 \nL 213.658332 196.699099 \nL 214.612648 198.170791 \nL 215.674956 199.55792 \nL 216.851221 200.855492 \nL 218.148443 202.057401 \nL 219.57464 203.15624 \nL 221.138833 204.143072 \nL 222.851023 205.007192 \nL 224.72216 205.735832 \nL 226.764098 206.313829 \nL 228.989514 206.723271 \nL 231.411805 206.943085 \nL 234.044922 206.948613 \nL 236.903144 206.711145 \nL 240.000775 206.197484 \nL 243.351714 205.369521 \nL 246.968894 204.183904 \nL 250.863532 202.591868 \nL 255.044189 200.539314 \nL 259.515546 197.967296 \nL 264.276895 194.813086 \nL 269.320302 191.012004 \nL 274.62839 186.50036 \nL 280.171798 181.219689 \nL 285.906306 175.122616 \nL 291.769829 168.180537 \nL 297.679411 160.393025 \nL 303.528632 151.798761 \nL 309.18591 142.487017 \nL 314.494341 132.608258 \nL 319.273834 122.381644 \nL 323.326377 112.096462 \nL 326.444989 102.104515 \nL 328.426578 92.801034 \nL 329.088294 84.593421 \nL 328.285817 77.860095 \nL 325.931394 72.905348 \nL 322.008405 69.918681 \nL 316.579391 68.948343 \nL 309.785251 69.896073 \nL 301.834891 72.535286 \nL 292.986789 76.54823 \nL 283.525562 81.572995 \nL 273.737658 87.249625 \nL 263.88998 93.256341 \nL 244.896955 105.28183 \nL 227.851522 116.346334 \nL 213.355713 125.997559 \nL 201.477826 134.264408 \nL 191.966248 141.35644 \nL 184.421294 147.500075 \nL 178.405853 152.875077 \nL 173.505824 157.602359 \nL 165.654061 165.350032 \nL 162.145661 168.395662 \nL 160.39976 169.702739 \nL 158.630289 170.858588 \nL 156.818424 171.855885 \nL 154.947508 172.685895 \nL 153.002903 173.338496 \nL 150.971906 173.802187 \nL 148.843693 174.064122 \nL 146.609336 174.110161 \nL 144.261881 173.924967 \nL 141.796489 173.492192 \nL 139.210647 172.794725 \nL 136.504454 171.815095 \nL 133.680977 170.535944 \nL 130.746669 168.940752 \nL 127.71185 167.014712 \nL 124.591231 164.745826 \nL 121.404451 162.126249 \nL 118.176607 159.153858 \nL 114.938728 155.833988 \nL 111.728128 152.181301 \nL 108.588563 148.221684 \nL 105.570112 143.99395 \nL 102.728705 139.551168 \nL 100.125193 134.961344 \nL 97.823884 130.307172 \nL 95.890505 125.684566 \nL 94.389636 121.199813 \nL 93.381621 116.965262 \nL 92.919155 113.093707 \nL 93.043821 109.69183 \nL 93.782813 106.853352 \nL 95.146282 104.652609 \nL 97.125537 103.13939 \nL 99.692486 102.335876 \nL 102.8004 102.235884 \nL 106.386009 102.806821 \nL 110.372726 103.99379 \nL 114.674731 105.725251 \nL 119.20141 107.91952 \nL 123.861833 110.491079 \nL 128.568741 113.356173 \nL 133.241876 116.437094 \nL 137.81038 119.665065 \nL 142.214302 122.981697 \nL 146.405242 126.339325 \nL 150.34622 129.700448 \nL 154.011013 133.036597 \nL 157.383085 136.326973 \nL 160.454281 139.557008 \nL 163.223434 142.716939 \nL 165.694969 145.800652 \nL 167.877588 148.804627 \nL 169.783085 151.727141 \nL 171.425307 154.567657 \nL 172.819277 157.326345 \nL 173.980465 160.003737 \nL 174.924209 162.600516 \nL 175.66526 165.117335 \nL 176.217442 167.554707 \nL 176.593404 169.912922 \nL 176.804453 172.192008 \nL 176.860443 174.391672 \nL 176.769721 176.511265 \nL 176.539104 178.549714 \nL 176.17389 180.505505 \nL 175.677881 182.376617 \nL 175.053427 184.160428 \nL 174.301472 185.853659 \nL 173.421612 187.452277 \nL 172.41215 188.951357 \nL 171.270157 190.344972 \nL 169.991536 191.626046 \nL 168.571083 192.786155 \nL 167.002566 193.815352 \nL 165.27881 194.701944 \nL 163.391794 195.432245 \nL 161.332772 195.990323 \nL 159.092435 196.357713 \nL 156.6611 196.513138 \nL 154.02896 196.432236 \nL 151.186416 196.087296 \nL 148.124476 195.447082 \nL 144.835285 194.476727 \nL 141.312766 193.137792 \nL 137.55343 191.388566 \nL 133.557365 189.184679 \nL 129.329432 186.480192 \nL 124.88066 183.229218 \nL 120.229862 179.38834 \nL 115.405466 174.919892 \nL 110.447425 169.79624 \nL 105.409234 164.005111 \nL 100.359745 157.555943 \nL 95.384635 150.486828 \nL 90.587184 142.871569 \nL 86.087936 134.82589 \nL 82.022817 126.511468 \nL 78.539316 118.136183 \nL 75.790353 109.949054 \nL 73.925811 102.228588 \nL 73.082057 95.264192 \nL 73.370171 89.331862 \nL 74.864305 84.666916 \nL 77.591706 81.438166 \nL 81.526328 79.728509 \nL 86.587359 79.526213 \nL 92.643419 80.729095 \nL 99.522096 83.160891 \nL 107.023486 86.596099 \nL 114.935672 90.788114 \nL 123.049853 95.495279 \nL 131.173263 100.500861 \nL 139.138586 105.62519 \nL 146.809396 110.73025 \nL 154.082021 115.718259 \nL 160.884456 120.526419 \nL 167.173267 125.11989 \nL 172.929393 129.484535 \nL 178.15351 133.620439 \nL 182.861527 137.536552 \nL 187.080474 141.246694 \nL 190.844986 144.766685 \nL 194.194406 148.112495 \nL 197.170496 151.299094 \nL 199.815684 154.339858 \nL 202.171782 157.246308 \nL 206.175777 162.693049 \nL 209.477655 167.695942 \nL 216.232385 178.433768 \nL 218.829214 182.027887 \nL 220.18101 183.666387 \nL 221.58969 185.193385 \nL 223.070089 186.603101 \nL 224.636349 187.888443 \nL 226.302068 189.040883 \nL 228.080415 190.050272 \nL 229.984213 190.904656 \nL 232.025976 191.590056 \nL 234.217916 192.090255 \nL 236.571868 192.386569 \nL 239.099182 192.457628 \nL 241.810523 192.279182 \nL 244.715586 191.823957 \nL 247.822714 191.061593 \nL 251.138394 189.958716 \nL 254.666611 188.479196 \nL 258.408057 186.584671 \nL 262.359163 184.23543 \nL 266.51094 181.391789 \nL 270.847675 178.015979 \nL 275.345433 174.074844 \nL 279.970464 169.543212 \nL 284.677554 164.408204 \nL 289.408502 158.674264 \nL 294.090815 152.368789 \nL 298.636996 145.547949 \nL 302.944581 138.301965 \nL 306.897381 130.758985 \nL 310.368238 123.086331 \nL 313.223537 115.487891 \nL 315.329632 108.196561 \nL 316.561053 101.461248 \nL 316.809943 95.528833 \nL 315.99594 90.622763 \nL 314.075205 86.921132 \nL 311.047243 84.537944 \nL 306.958243 83.511239 \nL 301.900026 83.800629 \nL 296.004502 85.294922 \nL 289.434193 87.828303 \nL 282.370186 91.201646 \nL 274.999232 95.204878 \nL 267.501659 99.636613 \nL 260.041492 104.318549 \nL 252.75955 109.103714 \nL 245.769653 113.8791 \nL 239.157653 118.563956 \nL 232.982679 123.105497 \nL 227.279858 127.473302 \nL 222.063885 131.653644 \nL 217.332866 135.644459 \nL 213.072075 139.451133 \nL 209.257355 143.083345 \nL 205.858066 146.5528 \nL 202.839525 149.871651 \nL 200.164957 153.051595 \nL 197.796993 156.103305 \nL 195.698791 159.036199 \nL 192.171395 164.576621 \nL 189.322374 169.72295 \nL 185.839818 176.772677 \nL 182.776598 183.066916 \nL 180.731924 186.848952 \nL 178.549847 190.289204 \nL 177.375032 191.874856 \nL 176.12809 193.365826 \nL 174.797103 194.757091 \nL 173.370216 196.042468 \nL 171.835513 197.214434 \nL 170.180923 198.263928 \nL 168.394146 199.180125 \nL 166.462607 199.950179 \nL 164.373446 200.558925 \nL 162.113543 200.98857 \nL 159.669602 201.21836 \nL 157.028289 201.224222 \nL 154.17645 200.978405 \nL 151.101411 200.449179 \nL 147.791413 199.600555 \nL 144.236179 198.392163 \nL 140.427633 196.779282 \nL 136.360845 194.713197 \nL 132.035196 192.141921 \nL 127.455774 189.011535 \nL 122.635111 185.26825 \nL 117.59511 180.861445 \nL 112.369286 175.747847 \nL 107.00514 169.897045 \nL 101.566585 163.29836 \nL 96.136134 155.968912 \nL 90.816603 147.962481 \nL 85.731828 139.378246 \nL 81.025856 130.36801 \nL 76.860066 121.140131 \nL 73.407677 111.957847 \nL 70.845237 103.130021 \nL 69.341258 94.992957 \nL 69.042499 87.883506 \nL 70.059296 82.105976 \nL 72.451856 77.897656 \nL 76.219851 75.399507 \nL 81.29751 74.638573 \nL 87.555672 75.526595 \nL 94.811022 77.87563 \nL 102.841244 81.426947 \nL 111.403664 85.886771 \nL 120.254405 90.961001 \nL 129.165269 96.383079 \nL 137.936444 101.931542 \nL 154.443758 112.781794 \nL 168.925722 122.728224 \nL 175.292529 127.278654 \nL 181.069121 131.547298 \nL 186.273755 135.54886 \nL 190.937646 139.303304 \nL 195.100734 142.832312 \nL 198.808237 146.157055 \nL 202.10797 149.296869 \nL 205.048318 152.268609 \nL 210.03898 157.761938 \nL 214.133986 162.719777 \nL 222.363561 173.011819 \nL 225.45192 176.291053 \nL 227.042596 177.738313 \nL 228.688589 179.049116 \nL 230.406302 180.215541 \nL 232.210861 181.228159 \nL 234.116249 182.075913 \nL 236.135386 182.746019 \nL 238.280146 183.223832 \nL 240.561341 183.492754 \nL 242.98862 183.534152 \nL 245.570307 183.327335 \nL 248.31315 182.849582 \nL 251.221992 182.076264 \nL 254.299328 180.98116 \nL 257.544764 179.536889 \nL 260.954364 177.715627 \nL 264.519885 175.490117 \nL 268.227886 172.835035 \nL 272.058796 169.728791 \nL 275.985868 166.155781 \nL 279.974174 162.109121 \nL 283.979679 157.593778 \nL 287.948476 152.63003 \nL 291.816374 147.25699 \nL 295.509002 141.53581 \nL 298.942574 135.552123 \nL 302.025566 129.417103 \nL 304.661412 123.266446 \nL 306.752302 117.256793 \nL 308.204079 111.559096 \nL 308.931979 106.349094 \nL 308.866821 101.795359 \nL 307.961043 98.046251 \nL 306.193887 95.217296 \nL 303.57495 93.3811 \nL 300.145483 92.561366 \nL 295.977086 92.732301 \nL 291.167789 93.823321 \nL 285.835949 95.728422 \nL 280.112693 98.318308 \nL 274.133818 101.453301 \nL 268.032117 104.995146 \nL 261.930835 108.816345 \nL 255.938799 112.806252 \nL 250.147333 116.874125 \nL 244.628932 120.94944 \nL 239.437377 124.980428 \nL 234.608993 128.931421 \nL 230.164589 132.779784 \nL 226.111798 136.512852 \nL 222.447547 140.125187 \nL 219.160418 143.616283 \nL 216.232825 146.988795 \nL 213.642909 150.247202 \nL 211.36614 153.396891 \nL 209.37661 156.443505 \nL 207.648069 159.392568 \nL 206.154703 162.249269 \nL 204.871709 165.018354 \nL 203.7757 167.704103 \nL 202.844955 170.310355 \nL 201.401501 175.297653 \nL 200.404451 180.003594 \nL 199.745538 184.44736 \nL 199.342102 188.64525 \nL 199.133186 192.611555 \nL 199.094068 198.154593 \nL 199.31011 203.243929 \nL 199.744539 207.913405 \nL 200.398845 212.191923 \nL 200.972067 214.838746 \nL 201.673625 217.327218 \nL 202.526189 219.660372 \nL 203.558948 221.838614 \nL 204.808567 223.858719 \nL 206.320479 225.712376 \nL 208.150542 227.384011 \nL 210.367042 228.847604 \nL 211.645512 229.489282 \nL 213.053028 230.061991 \nL 214.602701 230.557098 \nL 216.30889 230.964008 \nL 218.187281 231.269769 \nL 220.254945 231.458593 \nL 222.530393 231.51131 \nL 225.033577 231.404699 \nL 227.785871 231.110735 \nL 230.809966 230.595732 \nL 234.12968 229.819364 \nL 237.769649 228.733608 \nL 241.754827 227.281651 \nL 246.109775 225.396806 \nL 250.857624 223.001566 \nL 256.018672 220.006999 \nL 261.608446 216.312734 \nL 267.635197 211.807941 \nL 274.096601 206.373853 \nL 280.975651 199.888519 \nL 288.235625 192.234625 \nL 295.814162 183.311269 \nL 303.616644 173.050519 \nL 311.50932 161.439084 \nL 319.312974 148.544482 \nL 326.798481 134.543565 \nL 333.686001 119.748785 \nL 339.650035 104.624896 \nL 344.332696 89.786621 \nL 347.366915 75.967257 \nL 348.409676 63.952045 \nL 347.182802 54.478811 \nL 343.515409 48.121234 \nL 337.379381 45.182542 \nL 328.908211 45.632248 \nL 318.392027 49.109915 \nL 306.247572 54.99821 \nL 292.968869 62.543236 \nL 279.069894 70.984438 \nL 251.264942 88.061189 \nL 238.08729 95.855921 \nL 225.721786 102.860139 \nL 214.304076 109.007696 \nL 203.897555 114.311695 \nL 194.510401 118.83216 \nL 186.111696 122.651851 \nL 178.64507 125.860237 \nL 172.039402 128.543897 \nL 161.097578 132.64224 \nL 152.666244 135.458588 \nL 146.189482 137.358534 \nL 141.208708 138.595149 \nL 137.363649 139.343854 \nL 134.38037 139.729202 \nL 132.05567 139.84323 \nL 130.241893 139.757471 \nL 128.83362 139.530435 \nL 127.325346 139.032643 \nL 126.402917 138.472531 \nL 125.964287 137.970269 \nL 125.934803 137.621171 \nL 126.10837 137.507768 \nL 126.603528 137.546571 \nL 127.306216 137.845202 \nL 128.407201 138.612208 \nL 129.490265 139.692275 \nL 130.350251 140.917482 \nL 130.750934 141.816774 \nL 130.891817 142.610139 \nL 130.752303 143.224657 \nL 130.504127 143.504216 \nL 130.139056 143.662631 \nL 129.398216 143.651635 \nL 128.476973 143.330138 \nL 127.450764 142.709052 \nL 126.410307 141.828866 \nL 125.45539 140.760215 \nL 124.686245 139.600718 \nL 124.192615 138.466913 \nL 124.041871 137.481417 \nL 124.150289 136.96338 \nL 124.42722 136.58943 \nL 124.86426 136.380087 \nL 125.444678 136.34757 \nL 126.144211 136.495159 \nL 127.349006 137.039727 \nL 128.632963 137.922722 \nL 129.869478 139.059884 \nL 130.938948 140.346452 \nL 131.740292 141.668319 \nL 132.198545 142.911202 \nL 132.28994 143.642394 \nL 132.202597 144.261433 \nL 131.937041 144.742355 \nL 131.499894 145.062866 \nL 130.9037 145.205086 \nL 130.166829 145.156315 \nL 129.313306 144.909967 \nL 128.372531 144.466504 \nL 126.874224 143.452567 \nL 125.391305 142.082057 \nL 124.070185 140.467039 \nL 123.057189 138.761082 \nL 122.617868 137.662278 \nL 122.403 136.65956 \nL 122.432173 135.806282 \nL 122.71292 135.149193 \nL 123.239486 134.725007 \nL 123.992559 134.557678 \nL 124.940206 134.656993 \nL 126.039822 135.01838 \nL 127.240899 135.624034 \nL 128.488347 136.444958 \nL 130.3238 137.996123 \nL 131.958474 139.797071 \nL 132.860557 141.057501 \nL 133.569974 142.310567 \nL 134.059631 143.51069 \nL 134.310939 144.614753 \nL 134.313608 145.582599 \nL 134.065311 146.377472 \nL 133.571362 146.966443 \nL 132.844462 147.321073 \nL 131.904615 147.418273 \nL 130.779141 147.241498 \nL 129.502802 146.782277 \nL 128.117825 146.041931 \nL 126.673757 145.033449 \nL 125.22683 143.783193 \nL 123.838796 142.332096 \nL 122.574827 140.735971 \nL 121.500575 139.06438 \nL 120.67833 137.397894 \nL 120.162447 135.823495 \nL 119.994596 134.428432 \nL 120.199298 133.293162 \nL 120.443467 132.844493 \nL 120.78056 132.484348 \nL 121.207587 132.217951 \nL 121.720194 132.049046 \nL 122.978233 132.01104 \nL 124.495585 132.369832 \nL 126.198526 133.102402 \nL 128.004396 134.167028 \nL 129.827707 135.508353 \nL 131.585762 137.062636 \nL 133.203261 138.762461 \nL 134.615499 140.54038 \nL 135.770084 142.331351 \nL 136.627405 144.074047 \nL 137.160171 145.711357 \nL 137.352434 147.190337 \nL 137.198387 148.461986 \nL 136.701313 149.480992 \nL 136.327468 149.882621 \nL 135.872868 150.20583 \nL 134.732805 150.599263 \nL 133.309174 150.629485 \nL 131.638967 150.271969 \nL 129.769035 149.512079 \nL 127.757034 148.348404 \nL 125.672128 146.796587 \nL 123.594924 144.893199 \nL 121.616292 142.69893 \nL 119.834493 140.300155 \nL 118.350396 137.807752 \nL 117.260633 135.352319 \nL 116.649219 133.075409 \nL 116.543439 132.048147 \nL 116.578412 131.117211 \nL 116.75715 130.297606 \nL 117.080375 129.602494 \nL 117.546413 129.042845 \nL 118.15116 128.627172 \nL 118.888123 128.361307 \nL 119.748519 128.248332 \nL 120.721477 128.288599 \nL 121.794285 128.479822 \nL 122.952694 128.817281 \nL 125.463685 129.901527 \nL 128.123124 131.466249 \nL 130.797974 133.418084 \nL 133.363577 135.655926 \nL 135.711127 138.079218 \nL 137.75192 140.593374 \nL 139.418664 143.112385 \nL 140.664435 145.559211 \nL 141.460176 147.864845 \nL 141.791573 149.966615 \nL 141.78194 150.922763 \nL 141.655997 151.806417 \nL 141.414828 152.61077 \nL 141.059986 153.329125 \nL 140.593458 153.954878 \nL 140.017659 154.481522 \nL 139.335438 154.90265 \nL 138.550109 155.211994 \nL 137.665479 155.403465 \nL 136.68591 155.471214 \nL 135.61639 155.409734 \nL 134.462607 155.213981 \nL 133.23105 154.879502 \nL 131.929096 154.402632 \nL 130.565118 153.780663 \nL 127.69012 152.096869 \nL 124.696342 149.83522 \nL 121.694869 147.034817 \nL 118.817643 143.775288 \nL 116.214413 140.182856 \nL 115.065545 138.314408 \nL 114.045578 136.431427 \nL 113.174272 134.561994 \nL 112.470337 132.735774 \nL 111.950842 130.983315 \nL 111.630605 129.335139 \nL 111.521617 127.820798 \nL 111.632498 126.467878 \nL 111.968032 125.301033 \nL 112.528819 124.341126 \nL 113.311049 123.604471 \nL 114.306497 123.102354 \nL 115.502617 122.840745 \nL 116.88288 122.820294 \nL 118.427209 123.036558 \nL 120.112594 123.480491 \nL 121.913781 124.139079 \nL 123.804036 124.9961 \nL 125.755897 126.032953 \nL 127.741927 127.229454 \nL 131.710823 130.017414 \nL 135.515024 133.193907 \nL 138.991913 136.605556 \nL 142.017921 140.119569 \nL 144.508148 143.625335 \nL 145.535266 145.346039 \nL 146.411587 147.031863 \nL 147.13486 148.673762 \nL 147.704036 150.263319 \nL 148.119033 151.792612 \nL 148.380532 153.254054 \nL 148.489802 154.640288 \nL 148.448537 155.944051 \nL 148.258737 157.158083 \nL 147.922603 158.275042 \nL 147.44248 159.287429 \nL 146.820816 160.187517 \nL 146.060167 160.967309 \nL 145.163196 161.618532 \nL 144.132745 162.132586 \nL 142.971902 162.500602 \nL 141.684106 162.713465 \nL 140.273278 162.761902 \nL 138.743985 162.63657 \nL 137.101605 162.328262 \nL 135.352545 161.828081 \nL 133.504456 161.127753 \nL 131.566481 160.21994 \nL 129.549484 159.09869 \nL 127.46632 157.759891 \nL 125.332063 156.201858 \nL 123.164224 154.425942 \nL 120.98292 152.437206 \nL 118.810991 150.245087 \nL 116.67402 147.864082 \nL 114.600252 145.314318 \nL 112.620358 142.622 \nL 110.767069 139.819654 \nL 109.074567 136.946064 \nL 107.577742 134.045884 \nL 106.311249 131.168809 \nL 105.308327 128.368329 \nL 104.599587 125.700033 \nL 104.211616 123.21955 \nL 104.165679 120.980218 \nL 104.47645 119.030696 \nL 105.150977 117.412638 \nL 106.187929 116.158699 \nL 107.577233 115.291042 \nL 109.300146 114.820526 \nL 111.329764 114.746603 \nL 113.63197 115.057917 \nL 116.166735 115.733657 \nL 118.889712 116.74529 \nL 121.753913 118.058602 \nL 124.711479 119.635862 \nL 127.715286 121.437837 \nL 130.720408 123.425554 \nL 133.685277 125.561743 \nL 136.572569 127.81184 \nL 139.349766 130.144638 \nL 141.989429 132.532605 \nL 144.469214 134.951898 \nL 146.771682 137.382188 \nL 148.883936 139.806337 \nL 150.797155 142.210018 \nL 152.506061 144.581277 \nL 154.008356 146.910119 \nL 155.304159 149.188108 \nL 156.395476 151.408 \nL 157.285706 153.563441 \nL 157.979202 155.648675 \nL 158.480887 157.658332 \nL 158.795927 159.587199 \nL 158.929462 161.430084 \nL 158.886391 163.181635 \nL 158.67122 164.836217 \nL 158.287936 166.387794 \nL 157.739926 167.829812 \nL 157.029954 169.155106 \nL 156.160153 170.355777 \nL 155.132054 171.423118 \nL 153.946662 172.347494 \nL 152.604531 173.118285 \nL 151.105904 173.723802 \nL 149.450869 174.151259 \nL 147.639548 174.386714 \nL 145.672336 174.415112 \nL 143.550168 174.220344 \nL 141.274854 173.785393 \nL 138.84943 173.092542 \nL 136.2786 172.123737 \nL 133.569199 170.861063 \nL 130.730726 169.2874 \nL 127.77592 167.387274 \nL 124.721348 165.147934 \nL 121.588039 162.560626 \nL 118.402081 159.622148 \nL 115.195138 156.336559 \nL 112.004876 152.717056 \nL 108.875202 148.787816 \nL 105.856204 144.585773 \nL 103.003772 140.162003 \nL 100.378737 135.582482 \nL 98.045503 130.927976 \nL 96.070118 126.292755 \nL 94.517761 121.781899 \nL 93.44972 117.507183 \nL 92.920068 113.581625 \nL 92.97214 110.113001 \nL 93.635263 107.196986 \nL 94.921965 104.910655 \nL 96.82611 103.307088 \nL 99.322138 102.412026 \nL 102.365679 102.22285 \nL 105.895451 102.710117 \nL 109.836413 103.821468 \nL 114.103726 105.487124 \nL 118.607178 107.626344 \nL 123.25568 110.153765 \nL 127.961341 112.985152 \nL 132.642885 116.041854 \nL 137.228179 119.253853 \nL 141.655857 122.5614 \nL 145.876046 125.915482 \nL 149.850352 129.277341 \nL 153.551243 132.617439 \nL 156.961026 135.914084 \nL 160.070555 139.15198 \nL 162.877853 142.320826 \nL 165.386707 145.414096 \nL 167.60534 148.427988 \nL 169.545212 151.360582 \nL 171.219957 154.211212 \nL 172.644487 156.979971 \nL 173.834247 159.667365 \nL 174.804617 162.274062 \nL 175.570438 164.80072 \nL 176.145666 167.247872 \nL 176.543107 169.615842 \nL 176.774243 171.904682 \nL 176.849113 174.114143 \nL 176.776254 176.243618 \nL 176.562677 178.292087 \nL 176.213867 180.258095 \nL 175.733812 182.13968 \nL 175.125043 183.934299 \nL 174.388678 185.638749 \nL 173.524476 187.24909 \nL 172.530899 188.760519 \nL 171.405169 190.167234 \nL 170.143331 191.462296 \nL 168.740317 192.637456 \nL 167.19002 193.682963 \nL 165.48538 194.587342 \nL 163.618476 195.337156 \nL 161.580647 195.916759 \nL 159.362652 196.308004 \nL 156.954841 196.489969 \nL 154.347421 196.43868 \nL 151.530753 196.126844 \nL 148.495759 195.523656 \nL 145.234421 194.594694 \nL 141.740425 193.301948 \nL 138.009931 191.604088 \nL 134.042559 189.457045 \nL 129.84254 186.815005 \nL 125.42009 183.631994 \nL 120.793021 179.864191 \nL 115.988507 175.473058 \nL 111.045033 170.429547 \nL 106.014376 164.719286 \nL 100.96345 158.348786 \nL 95.975864 151.352369 \nL 91.15276 143.799241 \nL 86.612646 135.79985 \nL 82.489722 127.510229 \nL 78.930298 119.132829 \nL 76.086974 110.91213 \nL 74.110433 103.123804 \nL 73.139163 96.056984 \nL 73.287824 89.990509 \nL 74.635471 85.165813 \nL 77.215345 81.760733 \nL 81.007936 79.869042 \nL 85.938887 79.490348 \nL 91.882515 80.532725 \nL 98.670747 82.827671 \nL 106.106265 86.154272 \nL 113.977874 90.267156 \nL 122.075777 94.923041 \nL 130.204814 99.90151 \nL 138.194329 105.0182 \nL 145.904097 110.130163 \nL 153.226574 115.135026 \nL 160.086111 119.966162 \nL 166.436067 124.585762 \nL 172.254695 128.977563 \nL 177.540533 133.14022 \nL 182.307875 137.081836 \nL 186.582591 140.815795 \nL 190.398546 144.357777 \nL 193.79463 147.72378 \nL 196.812393 150.928937 \nL 199.494238 153.986813 \nL 201.882087 156.909148 \nL 205.935723 162.384835 \nL 209.270634 167.414191 \nL 217.333963 180.076986 \nL 219.984381 183.488575 \nL 221.384121 185.030449 \nL 222.853748 186.45593 \nL 224.407477 187.758118 \nL 226.05896 188.92868 \nL 227.821413 189.957693 \nL 229.707697 190.833451 \nL 231.730369 191.542253 \nL 233.901683 192.068194 \nL 236.233533 192.392928 \nL 238.737354 192.495442 \nL 241.423924 192.351873 \nL 244.303099 191.935343 \nL 247.383441 191.215884 \nL 250.671736 190.160485 \nL 254.172362 188.733338 \nL 257.886521 186.896293 \nL 261.811293 184.609714 \nL 265.938506 181.833761 \nL 270.253451 178.530214 \nL 274.733395 174.665048 \nL 279.345995 170.211724 \nL 284.047672 165.155376 \nL 288.782019 159.49774 \nL 293.478503 153.262755 \nL 298.051598 146.502384 \nL 302.400734 139.302036 \nL 306.411347 131.784688 \nL 309.957412 124.112599 \nL 312.905702 116.485257 \nL 315.121995 109.13254 \nL 316.479024 102.302477 \nL 316.865848 96.24371 \nL 316.197745 91.184433 \nL 314.425427 87.310258 \nL 311.542287 84.74483 \nL 307.588232 83.536759 \nL 302.649289 83.655866 \nL 296.852627 84.999468 \nL 290.357511 87.407612 \nL 283.343501 90.684028 \nL 275.997523 94.618579 \nL 268.501592 99.007494 \nL 261.02254 103.668551 \nL 253.704708 108.450188 \nL 246.665715 113.234788 \nL 239.995168 117.937484 \nL 233.755645 122.502069 \nL 227.985279 126.895497 \nL 222.701242 131.102173 \nL 217.903595 135.118774 \nL 213.579067 138.94995 \nL 209.70453 142.605001 \nL 206.250005 146.095498 \nL 203.181179 149.433634 \nL 200.461412 152.631229 \nL 198.0533 155.699133 \nL 195.919839 158.646937 \nL 194.025252 161.482931 \nL 190.818886 166.846226 \nL 188.188758 171.831375 \nL 180.803099 186.590126 \nL 178.626677 190.049613 \nL 177.456732 191.645139 \nL 176.215938 193.146266 \nL 174.892341 194.548069 \nL 173.474067 195.844476 \nL 171.949193 197.028093 \nL 170.305657 198.090008 \nL 168.531182 199.019565 \nL 166.613218 199.804114 \nL 164.538936 200.42872 \nL 162.295249 200.875852 \nL 159.868891 201.125044 \nL 157.246539 201.152555 \nL 154.415038 200.931004 \nL 151.361683 200.429062 \nL 148.07465 199.611174 \nL 144.543536 198.437423 \nL 140.76008 196.863542 \nL 136.71907 194.841235 \nL 132.419487 192.31888 \nL 127.865901 189.242785 \nL 123.07013 185.559199 \nL 118.053189 181.217231 \nL 112.847474 176.17294 \nL 107.499143 170.394692 \nL 102.070509 163.869896 \nL 96.642278 156.612992 \nL 91.315281 148.674182 \nL 86.211301 140.148232 \nL 81.472416 131.18186 \nL 77.258332 121.977995 \nL 73.741135 112.794691 \nL 71.097077 103.936618 \nL 69.495476 95.737757 \nL 69.085228 88.535268 \nL 69.980172 82.636954 \nL 72.245283 78.28673 \nL 75.885891 75.634756 \nL 80.84226 74.718628 \nL 86.990947 75.460447 \nL 94.15342 77.680905 \nL 102.110698 81.127126 \nL 110.621738 85.50794 \nL 119.442599 90.528868 \nL 128.343572 95.920647 \nL 137.122259 101.457771 \nL 153.683866 112.324346 \nL 168.250686 122.313613 \nL 174.664355 126.888629 \nL 180.487925 131.18186 \nL 185.738109 135.207162 \nL 190.445001 138.984043 \nL 194.647769 142.534024 \nL 198.391154 145.878301 \nL 201.722713 149.036339 \nL 204.690748 152.025198 \nL 209.724618 157.550256 \nL 213.847722 162.537889 \nL 222.093224 172.905207 \nL 225.170746 176.218158 \nL 226.753032 177.683684 \nL 228.38885 179.013919 \nL 230.094729 180.201119 \nL 231.885929 181.236063 \nL 233.776561 182.107908 \nL 235.779666 182.804082 \nL 237.907271 183.310181 \nL 240.170348 183.609848 \nL 242.578737 183.684679 \nL 245.140987 183.514207 \nL 247.864131 183.075899 \nL 250.75335 182.34529 \nL 253.811548 181.296233 \nL 257.038833 179.901324 \nL 260.43187 178.132585 \nL 263.983124 175.962406 \nL 267.679994 173.364873 \nL 271.503863 170.317514 \nL 275.429073 166.803484 \nL 279.421888 162.814236 \nL 283.439549 158.352657 \nL 287.429453 153.436481 \nL 291.328706 148.101867 \nL 295.064084 142.406713 \nL 298.55274 136.433285 \nL 301.703694 130.289513 \nL 304.420398 124.108352 \nL 306.604409 118.044575 \nL 308.160157 112.268578 \nL 309.000618 106.957146 \nL 309.053519 102.281753 \nL 308.267503 98.3954 \nL 306.617509 95.419746 \nL 304.108654 93.434384 \nL 300.777882 92.470229 \nL 296.693049 92.507996 \nL 291.949327 93.482359 \nL 286.66331 95.29074 \nL 280.965555 97.805332 \nL 274.992428 100.886167 \nL 268.878273 104.39326 \nL 262.748624 108.196407 \nL 256.715031 112.181792 \nL 250.871743 116.255437 \nL 245.294126 120.343854 \nL 240.038627 124.392732 \nL 235.143911 128.364381 \nL 230.632738 132.234634 \nL 226.514305 135.989745 \nL 222.786715 139.623567 \nL 219.439387 143.135173 \nL 216.455276 146.527014 \nL 213.812814 149.803499 \nL 211.487565 152.970033 \nL 209.45356 156.032336 \nL 207.684371 158.996043 \nL 206.153925 161.866464 \nL 204.837106 164.648446 \nL 203.710173 167.346382 \nL 202.751036 169.964194 \nL 201.256902 174.973082 \nL 200.214877 179.69896 \nL 199.513955 184.161387 \nL 199.068972 188.376952 \nL 198.748015 194.268822 \nL 198.723052 199.680867 \nL 198.917312 204.651072 \nL 199.299724 209.213033 \nL 199.872611 213.395961 \nL 200.6653 217.224037 \nL 201.341803 219.587982 \nL 202.162626 221.805279 \nL 203.156773 223.876524 \nL 204.360409 225.798939 \nL 205.818203 227.564978 \nL 207.585019 229.16029 \nL 209.727951 230.560691 \nL 210.965354 231.176493 \nL 212.328712 231.727696 \nL 213.830963 232.206183 \nL 215.48629 232.601969 \nL 217.310221 232.902822 \nL 219.31969 233.0938 \nL 221.533099 233.15671 \nL 223.970351 233.069464 \nL 226.652838 232.805335 \nL 229.603373 232.332097 \nL 232.846042 231.611054 \nL 236.40593 230.595961 \nL 240.308699 229.23188 \nL 244.579942 227.454025 \nL 249.24425 225.186693 \nL 254.323916 222.342443 \nL 259.837136 218.821798 \nL 265.795646 214.513807 \nL 272.201617 209.297999 \nL 279.043664 203.048395 \nL 286.291966 195.640442 \nL 293.892385 186.96179 \nL 301.759751 176.927846 \nL 309.770691 165.502726 \nL 317.756663 152.725372 \nL 325.498436 138.739142 \nL 332.72374 123.820982 \nL 339.11024 108.403293 \nL 344.296491 93.078898 \nL 347.902893 78.578279 \nL 349.563425 65.71067 \nL 348.966562 55.268177 \nL 345.900198 47.905184 \nL 340.291922 44.019551 \nL 332.234566 43.670333 \nL 321.988097 46.561924 \nL 309.954675 52.104101 \nL 296.630993 59.530501 \nL 282.548848 68.037713 \nL 254.079716 85.566996 \nL 240.485129 93.640431 \nL 227.683946 100.906926 \nL 215.833107 107.279216 \nL 205.011196 112.760504 \nL 195.23624 117.408716 \nL 186.48298 121.309328 \nL 178.697698 124.557056 \nL 171.809924 127.244775 \nL 165.741104 129.457705 \nL 155.740021 132.749074 \nL 148.087412 134.909953 \nL 142.263295 136.280395 \nL 137.849896 137.099494 \nL 134.523773 137.537759 \nL 131.054642 137.745561 \nL 128.423099 137.622653 \nL 127.166558 137.443925 \nL 127.301868 137.580125 \nL 128.600263 138.690987 \nL 129.510626 139.727412 \nL 130.252758 140.88529 \nL 130.660102 141.990843 \nL 130.684325 142.681451 \nL 130.449652 143.181058 \nL 130.15303 143.381864 \nL 129.518791 143.456652 \nL 128.699854 143.242847 \nL 127.761527 142.74359 \nL 126.784745 141.989002 \nL 125.860719 141.037248 \nL 125.083408 139.972527 \nL 124.539911 138.898866 \nL 124.299627 137.929462 \nL 124.329689 137.395325 \nL 124.51714 136.983968 \nL 124.857745 136.717503 \nL 125.339453 136.610926 \nL 125.942892 136.671241 \nL 127.018718 137.069718 \nL 128.204004 137.802246 \nL 129.381892 138.799226 \nL 130.437685 139.968143 \nL 131.270513 141.204038 \nL 131.801701 142.398809 \nL 131.979717 143.448559 \nL 131.889941 144.020909 \nL 131.633379 144.462445 \nL 131.216524 144.752434 \nL 130.65151 144.874435 \nL 129.956022 144.817057 \nL 129.153066 144.574794 \nL 127.809768 143.869457 \nL 126.402141 142.78927 \nL 125.060599 141.412893 \nL 123.922938 139.860443 \nL 123.120378 138.285813 \nL 122.826075 137.308436 \nL 122.75152 136.448195 \nL 122.908605 135.751216 \nL 123.297443 135.255805 \nL 123.90574 134.989674 \nL 124.709175 134.968118 \nL 125.672706 135.193288 \nL 126.752797 135.654598 \nL 127.900182 136.330193 \nL 129.633832 137.675466 \nL 131.231061 139.300469 \nL 132.541043 141.05763 \nL 133.194939 142.228131 \nL 133.642453 143.347429 \nL 133.866079 144.374699 \nL 133.856169 145.271919 \nL 133.610688 146.004378 \nL 133.134944 146.541179 \nL 132.441391 146.855901 \nL 131.549534 146.927478 \nL 130.48588 146.741333 \nL 129.28402 146.290788 \nL 127.984507 145.578634 \nL 126.634602 144.61871 \nL 125.287532 143.437349 \nL 124.001256 142.074307 \nL 122.836422 140.582737 \nL 121.853535 139.027984 \nL 121.109403 137.484869 \nL 120.653005 136.033378 \nL 120.52123 134.75314 \nL 120.735033 133.717074 \nL 120.972968 133.310042 \nL 121.296512 132.985283 \nL 121.702768 132.747473 \nL 122.745666 132.54468 \nL 124.054895 132.711821 \nL 125.56834 133.237634 \nL 127.213179 134.091992 \nL 128.911247 135.229822 \nL 130.584338 136.595768 \nL 132.158888 138.12864 \nL 133.56951 139.76523 \nL 134.761316 141.443098 \nL 135.690975 143.102382 \nL 136.326841 144.686707 \nL 136.648389 146.143541 \nL 136.645302 147.424165 \nL 136.31655 148.483627 \nL 135.669622 149.280778 \nL 134.720112 149.778673 \nL 133.491687 149.945463 \nL 132.016462 149.75585 \nL 130.335623 149.193246 \nL 128.500162 148.252497 \nL 126.571474 146.943149 \nL 124.621407 145.292806 \nL 122.73141 143.350126 \nL 120.990417 141.186593 \nL 119.491045 138.896263 \nL 118.324105 136.592616 \nL 117.571518 134.401961 \nL 117.29842 132.453698 \nL 117.355503 131.60882 \nL 117.545379 130.868354 \nL 117.868269 130.243962 \nL 118.322212 129.745322 \nL 118.903085 129.379885 \nL 119.604618 129.152711 \nL 120.418507 129.066404 \nL 121.33461 129.121145 \nL 122.341143 129.314774 \nL 124.571912 130.099438 \nL 126.99502 131.364271 \nL 129.488136 133.03151 \nL 131.932061 135.011289 \nL 134.218628 137.210003 \nL 136.255959 139.536472 \nL 137.971053 141.905581 \nL 139.310006 144.239793 \nL 140.236556 146.469054 \nL 140.729691 148.529778 \nL 140.780981 150.363465 \nL 140.641143 151.177923 \nL 140.3922 151.91529 \nL 140.03567 152.569124 \nL 139.573547 153.133132 \nL 139.008279 153.601139 \nL 138.342773 153.967133 \nL 137.580428 154.225308 \nL 136.725171 154.370089 \nL 135.7815 154.396217 \nL 134.754553 154.298855 \nL 133.650174 154.073685 \nL 131.236512 153.226161 \nL 128.60446 151.835586 \nL 125.834322 149.903688 \nL 123.024618 147.459294 \nL 120.292427 144.565682 \nL 117.771324 141.32639 \nL 115.605971 137.887293 \nL 114.702717 136.149179 \nL 113.942771 134.43268 \nL 113.34254 132.764883 \nL 112.916752 131.173348 \nL 112.677928 129.685332 \nL 112.635876 128.326948 \nL 112.797256 127.122329 \nL 113.165194 126.092789 \nL 113.739042 125.256133 \nL 114.514217 124.626072 \nL 115.482218 124.211837 \nL 116.630789 124.017977 \nL 117.944208 124.044414 \nL 119.403702 124.286651 \nL 120.988029 124.736212 \nL 122.674038 125.3812 \nL 124.437362 126.206945 \nL 126.253062 127.196706 \nL 129.942823 129.594992 \nL 133.555232 132.425505 \nL 136.92649 135.541778 \nL 139.925397 138.811558 \nL 142.455707 142.12098 \nL 144.45381 145.37424 \nL 145.883569 148.490658 \nL 146.379962 149.975487 \nL 146.729915 151.400652 \nL 146.933807 152.758523 \nL 146.992609 154.041664 \nL 146.907737 155.242764 \nL 146.680963 156.354509 \nL 146.314326 157.369542 \nL 145.810075 158.280395 \nL 145.170655 159.07943 \nL 144.398704 159.758819 \nL 143.497073 160.310546 \nL 142.468894 160.72639 \nL 141.317647 160.997976 \nL 140.047272 161.116851 \nL 138.662287 161.074546 \nL 137.167949 160.862753 \nL 135.570407 160.473491 \nL 133.876906 159.899335 \nL 132.095974 159.133707 \nL 130.237643 158.171231 \nL 128.313654 157.008138 \nL 126.33766 155.642731 \nL 124.325408 154.075903 \nL 122.294894 152.311711 \nL 120.266463 150.357924 \nL 118.26284 148.226582 \nL 116.309078 145.934523 \nL 114.432364 143.503754 \nL 112.661741 140.961723 \nL 111.027645 138.341316 \nL 109.561285 135.680607 \nL 108.293887 133.022304 \nL 107.255757 130.412773 \nL 106.475237 127.900767 \nL 105.977578 125.535795 \nL 105.783786 123.366284 \nL 105.909547 121.437529 \nL 106.364226 119.789746 \nL 107.150144 118.456223 \nL 108.262099 117.461863 \nL 109.687236 116.822194 \nL 111.405314 116.542909 \nL 113.389291 116.620103 \nL 115.606306 117.040932 \nL 118.018861 117.784918 \nL 120.586236 118.82548 \nL 123.265944 120.13165 \nL 126.015211 121.669858 \nL 128.792291 123.405549 \nL 131.557639 125.304587 \nL 134.274856 127.33437 \nL 136.911349 129.464616 \nL 139.438766 131.667868 \nL 141.833177 133.919704 \nL 144.075057 136.198772 \nL 146.149106 138.486627 \nL 148.043912 140.767477 \nL 149.751562 143.027859 \nL 151.267178 145.256315 \nL 152.588435 147.443014 \nL 153.715091 149.579434 \nL 154.648536 151.658074 \nL 155.391364 153.672168 \nL 155.947004 155.615447 \nL 156.3194 157.481951 \nL 156.512729 159.265839 \nL 156.531173 160.96122 \nL 156.378753 162.562022 \nL 156.059178 164.061881 \nL 155.575763 165.454006 \nL 154.931385 166.731102 \nL 154.128452 167.885246 \nL 153.168925 168.907815 \nL 152.054377 169.789406 \nL 150.786067 170.519775 \nL 149.365059 171.087783 \nL 147.792371 171.481361 \nL 146.06915 171.687545 \nL 144.196902 171.692478 \nL 142.177743 171.481524 \nL 140.014698 171.039457 \nL 137.71205 170.350673 \nL 135.275717 169.399578 \nL 132.713691 168.171048 \nL 130.036492 166.651098 \nL 127.257679 164.827636 \nL 124.394344 162.69149 \nL 121.467647 160.23753 \nL 118.503261 157.466031 \nL 115.531789 154.384108 \nL 112.589034 151.007288 \nL 109.716089 147.360955 \nL 106.959196 143.481702 \nL 104.36924 139.418274 \nL 102.000919 135.231963 \nL 99.911421 130.996238 \nL 98.158681 126.795334 \nL 96.799158 122.721801 \nL 95.885275 118.872889 \nL 95.462596 115.345919 \nL 95.566969 112.233021 \nL 96.221865 109.615526 \nL 97.43621 107.558844 \nL 99.202916 106.108278 \nL 101.498424 105.286352 \nL 104.283236 105.092089 \nL 107.503567 105.50223 \nL 111.09392 106.474229 \nL 114.980347 107.950589 \nL 119.084081 109.863946 \nL 123.325239 112.142193 \nL 127.626225 114.713101 \nL 131.914643 117.508125 \nL 136.125484 120.46511 \nL 140.202643 123.529862 \nL 144.099657 126.656822 \nL 147.779849 129.8089 \nL 151.215942 132.956842 \nL 154.389302 136.078244 \nL 157.288937 139.156425 \nL 159.910365 142.179317 \nL 162.254441 145.138451 \nL 164.326231 148.028046 \nL 166.133952 150.844275 \nL 167.688031 153.584654 \nL 169.000289 156.24758 \nL 170.083248 158.832002 \nL 170.949569 161.337114 \nL 171.611589 163.762188 \nL 172.080977 166.106419 \nL 172.36846 168.368822 \nL 172.483641 170.54813 \nL 172.434862 172.642733 \nL 172.229126 174.650584 \nL 171.872055 176.569148 \nL 171.36788 178.395307 \nL 170.719452 180.125303 \nL 169.928283 181.754605 \nL 168.994582 183.277818 \nL 167.917321 184.688553 \nL 166.694298 185.9793 \nL 165.322225 187.141254 \nL 163.796815 188.164157 \nL 162.112889 189.036088 \nL 160.264518 189.743283 \nL 158.245161 190.269919 \nL 156.047868 190.597898 \nL 153.665512 190.706646 \nL 151.091067 190.572943 \nL 148.317975 190.170792 \nL 145.340585 189.471376 \nL 142.154687 188.443142 \nL 138.758183 187.052036 \nL 135.151865 185.262033 \nL 131.340361 183.035949 \nL 127.33323 180.336711 \nL 123.146205 177.129122 \nL 118.802605 173.382309 \nL 114.334795 169.072832 \nL 109.785725 164.188575 \nL 105.210348 158.733312 \nL 100.676788 152.731838 \nL 96.267057 146.235191 \nL 92.077029 139.325535 \nL 88.215365 132.119741 \nL 84.801089 124.770741 \nL 81.959598 117.465512 \nL 79.81691 110.418697 \nL 78.492322 103.861427 \nL 78.089882 98.02556 \nL 78.689345 93.12456 \nL 80.33775 89.333626 \nL 83.042807 86.772035 \nL 86.769229 85.491035 \nL 91.438928 85.46983 \nL 96.935304 86.620541 \nL 103.111232 88.801176 \nL 109.799623 91.834036 \nL 116.825197 95.525869 \nL 124.015839 99.686437 \nL 131.212236 104.142973 \nL 138.275008 108.749239 \nL 145.089014 113.389469 \nL 151.565005 117.978008 \nL 157.63908 122.456133 \nL 163.270595 126.787387 \nL 168.439116 130.952477 \nL 173.140945 134.944508 \nL 177.385616 138.764927 \nL 181.192631 142.42033 \nL 184.58857 145.920075 \nL 187.604648 149.274637 \nL 190.274731 152.494524 \nL 192.633779 155.589635 \nL 194.716652 158.568929 \nL 196.557258 161.440283 \nL 199.63915 166.88526 \nL 202.113967 171.967164 \nL 205.115648 178.970894 \nL 208.591169 187.234104 \nL 210.370976 190.916144 \nL 212.308236 194.291259 \nL 214.489812 197.342528 \nL 215.698709 198.738169 \nL 217.000619 200.040721 \nL 218.406541 201.24394 \nL 219.927835 202.340227 \nL 221.576297 203.320392 \nL 223.36422 204.173418 \nL 225.304431 204.886163 \nL 227.410288 205.443037 \nL 229.695665 205.825637 \nL 232.174857 206.012342 \nL 234.862457 205.977902 \nL 237.773132 205.692995 \nL 240.921323 205.123797 \nL 244.320803 204.231618 \nL 247.984106 202.972609 \nL 251.921761 201.297674 \nL 256.1413 199.152669 \nL 260.646018 196.479003 \nL 265.433426 193.214884 \nL 270.493347 189.29738 \nL 275.805724 184.665602 \nL 281.338023 179.265191 \nL 287.04247 173.054476 \nL 292.853053 166.012328 \nL 298.682765 158.147689 \nL 304.42125 149.510272 \nL 309.933524 140.201594 \nL 315.06035 130.384581 \nL 319.621023 120.289542 \nL 323.419301 110.213626 \nL 326.253014 100.510984 \nL 327.927383 91.571554 \nL 328.271341 83.788537 \nL 327.155394 77.517438 \nL 324.508501 73.03295 \nL 320.330888 70.492169 \nL 314.700145 69.913166 \nL 307.768414 71.174607 \nL 299.750669 74.037269 \nL 290.9057 78.182251 \nL 281.513059 83.256601 \nL 271.849912 88.916154 \nL 262.171316 94.85799 \nL 243.598803 106.681886 \nL 227.009723 117.536523 \nL 212.944081 127.024058 \nL 201.438858 135.186155 \nL 196.571669 138.832008 \nL 192.233198 142.225348 \nL 184.930658 148.355751 \nL 179.102918 153.745997 \nL 174.346118 158.508939 \nL 166.68412 166.370931 \nL 163.236191 169.490895 \nL 161.513973 170.839019 \nL 159.764251 172.038432 \nL 157.96836 173.081743 \nL 156.109677 173.96013 \nL 154.173477 174.663344 \nL 152.146833 175.179668 \nL 150.018567 175.495949 \nL 147.779275 175.59762 \nL 145.421389 175.468759 \nL 142.939331 175.09224 \nL 140.329726 174.449941 \nL 137.591696 173.523082 \nL 134.727228 172.292711 \nL 131.741615 170.740338 \nL 128.643965 168.848819 \nL 125.447772 166.603423 \nL 122.171513 163.993207 \nL 118.839266 161.012612 \nL 115.48126 157.663317 \nL 112.134347 153.956266 \nL 108.842296 149.913776 \nL 105.655828 145.571543 \nL 102.632276 140.980332 \nL 99.834776 136.207079 \nL 97.330931 131.335033 \nL 95.190798 126.462679 \nL 93.484276 121.701125 \nL 92.277907 117.169835 \nL 91.631222 112.990855 \nL 91.592873 109.28174 \nL 92.196943 106.147912 \nL 93.459749 103.675266 \nL 95.377557 101.923988 \nL 97.925589 100.924396 \nL 101.058456 100.675616 \nL 104.712164 101.14704 \nL 108.807399 102.282506 \nL 113.253867 104.006465 \nL 117.955202 106.231118 \nL 122.813895 108.863686 \nL 127.735814 111.812758 \nL 132.634012 114.993311 \nL 137.431505 118.330129 \nL 142.063056 121.759513 \nL 146.47595 125.22973 \nL 150.629928 128.700402 \nL 154.4965 132.141236 \nL 158.057764 135.530465 \nL 161.304991 138.853187 \nL 164.237083 142.099793 \nL 166.859058 145.264614 \nL 169.180587 148.344781 \nL 171.214711 151.339318 \nL 172.976702 154.248473 \nL 174.483112 157.073197 \nL 175.750983 159.814809 \nL 176.797228 162.474722 \nL 177.638144 165.054322 \nL 178.289048 167.554827 \nL 178.764024 169.977237 \nL 179.075745 172.322299 \nL 179.235364 174.590466 \nL 179.252459 176.781857 \nL 179.135024 178.89626 \nL 178.889473 180.933082 \nL 178.520682 182.891305 \nL 178.032027 184.769456 \nL 177.425442 186.565531 \nL 176.701473 188.276926 \nL 175.859339 189.900358 \nL 174.896981 191.431736 \nL 173.811119 192.866069 \nL 172.597305 194.197297 \nL 171.249973 195.418145 \nL 169.762493 196.519925 \nL 168.127231 197.492314 \nL 166.335619 198.323125 \nL 164.378239 198.998022 \nL 162.244937 199.500234 \nL 159.924966 199.810228 \nL 157.407171 199.905386 \nL 154.680237 199.759672 \nL 151.733026 199.343313 \nL 148.554986 198.622561 \nL 145.136696 197.559515 \nL 141.470573 196.112148 \nL 137.551727 194.234549 \nL 133.379034 191.877545 \nL 128.956461 188.989817 \nL 124.294609 185.519685 \nL 119.412544 181.41772 \nL 114.339843 176.640433 \nL 109.118831 171.155138 \nL 103.806872 164.946058 \nL 98.478537 158.02168 \nL 93.227349 150.422898 \nL 88.166767 142.231359 \nL 83.429873 133.576806 \nL 79.16726 124.641864 \nL 75.542618 115.662252 \nL 72.725585 106.920544 \nL 70.881799 98.731823 \nL 70.160606 91.421018 \nL 70.681332 85.293552 \nL 72.519811 80.602846 \nL 75.69727 77.520521 \nL 80.173648 76.115258 \nL 85.847051 76.345592 \nL 92.560007 78.068523 \nL 100.111797 81.062229 \nL 108.27507 85.057651 \nL 116.81402 89.772011 \nL 125.501449 94.938045 \nL 134.132547 100.324668 \nL 142.534219 105.747859 \nL 158.139393 116.209449 \nL 171.65068 125.736694 \nL 177.547536 130.099061 \nL 182.878372 134.201335 \nL 187.667645 138.059556 \nL 191.950097 141.693069 \nL 195.767105 145.12182 \nL 199.163773 148.364709 \nL 202.186695 151.438676 \nL 207.295659 157.135705 \nL 211.444854 162.300824 \nL 221.014783 175.006781 \nL 223.989033 178.325717 \nL 225.533116 179.799988 \nL 227.138296 181.142691 \nL 228.820352 182.346009 \nL 230.594008 183.400624 \nL 232.473056 184.295583 \nL 234.470426 185.018134 \nL 236.598231 185.553598 \nL 238.867726 185.885226 \nL 241.289233 185.994072 \nL 243.871973 185.8589 \nL 246.623834 185.456167 \nL 249.551033 184.76007 \nL 252.657686 183.742742 \nL 255.945258 182.374621 \nL 259.411899 180.625057 \nL 263.05164 178.463193 \nL 266.853469 175.859289 \nL 270.800286 172.786426 \nL 274.867777 169.222786 \nL 279.023234 165.154442 \nL 283.224416 160.578724 \nL 287.418527 155.508013 \nL 291.54152 149.973818 \nL 295.517821 144.030723 \nL 299.26078 137.759769 \nL 302.673999 131.270556 \nL 305.653804 124.701323 \nL 308.092977 118.21622 \nL 309.885792 111.99921 \nL 310.934179 106.244341 \nL 311.15465 101.142895 \nL 310.485369 96.868445 \nL 308.892572 93.561797 \nL 306.375355 91.317995 \nL 302.968112 90.177732 \nL 298.740001 90.124791 \nL 293.791288 91.08999 \nL 288.246983 92.961007 \nL 282.248493 95.596076 \nL 275.944386 98.839128 \nL 269.481446 102.534096 \nL 262.996899 106.536232 \nL 256.612467 110.719888 \nL 250.430604 114.98228 \nL 244.532743 119.244176 \nL 238.979307 123.448129 \nL 233.811036 127.555361 \nL 229.051208 131.542091 \nL 224.708281 135.395909 \nL 220.7787 139.112501 \nL 217.249597 142.692978 \nL 214.10124 146.141811 \nL 211.309179 149.465295 \nL 208.846021 152.670503 \nL 206.682878 155.764587 \nL 204.790503 158.754371 \nL 203.140136 161.64615 \nL 201.704126 164.445576 \nL 200.456353 167.157677 \nL 198.430154 172.337029 \nL 196.890355 177.213596 \nL 195.696576 181.81045 \nL 194.315224 188.22109 \nL 191.699053 201.154713 \nL 190.418728 205.909832 \nL 189.409458 208.832133 \nL 188.228384 211.557409 \nL 186.830807 214.081935 \nL 185.165758 216.395992 \nL 183.173707 218.481525 \nL 182.033539 219.42985 \nL 180.78423 220.308678 \nL 179.414879 221.111627 \nL 177.913611 221.830838 \nL 176.267494 222.456698 \nL 174.462491 222.97751 \nL 172.483401 223.379091 \nL 170.313833 223.644302 \nL 167.936196 223.752523 \nL 165.331749 223.679024 \nL 162.480693 223.394275 \nL 159.362336 222.863174 \nL 155.955394 222.044202 \nL 152.238399 220.888581 \nL 148.190325 219.339437 \nL 143.791448 217.331098 \nL 139.024507 214.78866 \nL 133.87629 211.628014 \nL 128.339664 207.756635 \nL 122.416199 203.075551 \nL 116.119429 197.482941 \nL 109.478831 190.879996 \nL 102.544455 183.179693 \nL 95.392139 174.319068 \nL 88.128973 164.275241 \nL 80.898408 153.085046 \nL 73.88423 140.866784 \nL 67.312066 127.841471 \nL 61.446825 114.348708 \nL 56.58449 100.850918 \nL 53.036631 87.918669 \nL 51.107122 76.191271 \nL 51.062158 66.311476 \nL 53.096618 58.84087 \nL 57.302529 54.171779 \nL 63.646391 52.457789 \nL 71.96199 53.584572 \nL 81.962122 57.192136 \nL 93.268336 62.7437 \nL 105.452609 69.620933 \nL 118.082186 77.218764 \nL 143.146154 92.620285 \nL 154.984085 99.762485 \nL 166.090216 106.294183 \nL 176.353221 112.15545 \nL 185.721137 117.348324 \nL 201.781761 125.907544 \nL 219.885417 135.124058 \nL 235.722234 142.932064 \nL 243.652282 146.599139 \nL 247.81402 148.254252 \nL 251.408246 149.349854 \nL 253.058019 149.697932 \nL 254.636302 149.916114 \nL 256.158601 150.006078 \nL 257.637152 149.969244 \nL 259.081185 149.807036 \nL 260.497168 149.521097 \nL 261.889011 149.113525 \nL 263.258288 148.587079 \nL 265.924813 147.193103 \nL 268.469196 145.381862 \nL 270.837669 143.217952 \nL 272.956424 140.791259 \nL 274.738937 138.217388 \nL 276.094887 135.634156 \nL 276.940465 133.193556 \nL 277.150177 132.07514 \nL 277.209427 131.049394 \nL 277.114398 130.133351 \nL 276.863561 129.342238 \nL 276.457837 128.689063 \nL 275.9007 128.184266 \nL 275.198179 127.835442 \nL 274.358789 127.647217 \nL 273.393366 127.621208 \nL 272.314818 127.756098 \nL 271.137842 128.047835 \nL 269.878556 128.489893 \nL 267.182289 129.788587 \nL 264.368389 131.564314 \nL 261.577084 133.713691 \nL 258.936299 136.128805 \nL 256.554692 138.705289 \nL 254.518278 141.347037 \nL 252.8901 143.968001 \nL 251.712178 146.491876 \nL 251.00871 148.850529 \nL 250.789662 150.981931 \nL 250.861844 151.944184 \nL 251.054062 152.828104 \nL 251.364898 153.626805 \nL 251.792511 154.33347 \nL 252.334647 154.941342 \nL 252.988661 155.443724 \nL 253.751474 155.834005 \nL 254.619549 156.105669 \nL 255.588846 156.252368 \nL 256.654743 156.268005 \nL 257.811951 156.146835 \nL 259.054427 155.883599 \nL 260.375258 155.473689 \nL 261.766565 154.913355 \nL 263.219369 154.199908 \nL 264.723492 153.332011 \nL 266.267463 152.309947 \nL 269.422044 149.814384 \nL 272.562758 146.759669 \nL 274.084041 145.049284 \nL 275.546607 143.237409 \nL 276.929654 141.343603 \nL 278.21168 139.390741 \nL 279.370903 137.404805 \nL 280.3857 135.414553 \nL 281.235193 133.450943 \nL 281.899852 131.546424 \nL 282.362127 129.734061 \nL 282.607162 128.046499 \nL 282.623387 126.514893 \nL 282.403114 125.167788 \nL 281.943014 124.030052 \nL 281.244416 123.122008 \nL 280.313502 122.458685 \nL 279.161236 122.049383 \nL 277.803142 121.89752 \nL 276.25889 122.000757 \nL 274.551684 122.351431 \nL 272.707571 122.937165 \nL 270.7546 123.741707 \nL 268.721972 124.74582 \nL 266.639232 125.928225 \nL 264.535448 127.266493 \nL 260.374631 130.319787 \nL 256.439245 133.730305 \nL 252.889929 137.341312 \nL 249.844067 141.020779 \nL 247.378173 144.661066 \nL 246.377004 146.438592 \nL 245.534398 148.174891 \nL 244.851618 149.86134 \nL 244.328835 151.489905 \nL 243.965349 153.052966 \nL 243.759818 154.54319 \nL 243.71043 155.953386 \nL 243.815058 157.27641 \nL 244.07138 158.505025 \nL 244.476971 159.631851 \nL 245.029349 160.649256 \nL 245.726012 161.549327 \nL 246.56442 162.323792 \nL 247.541971 162.96401 \nL 248.655929 163.460954 \nL 249.903335 163.805247 \nL 251.280881 163.987178 \nL 252.784761 163.996804 \nL 254.410502 163.824079 \nL 256.152746 163.459027 \nL 258.00504 162.891962 \nL 259.95957 162.113832 \nL 262.006902 161.11656 \nL 264.135708 159.893545 \nL 266.332461 158.440188 \nL 268.58121 156.754527 \nL 270.863291 154.837942 \nL 273.157157 152.695921 \nL 275.43825 150.338827 \nL 277.678956 147.782631 \nL 279.848726 145.049592 \nL 281.914312 142.168758 \nL 283.840233 139.176207 \nL 285.589415 136.114958 \nL 287.124087 133.034482 \nL 288.406858 129.989709 \nL 289.402032 127.039525 \nL 290.077038 124.244783 \nL 290.403943 121.665884 \nL 290.360963 119.360122 \nL 289.933814 117.378931 \nL 289.116845 115.765326 \nL 287.913776 114.55174 \nL 286.33801 113.758538 \nL 284.412416 113.393306 \nL 282.168616 113.451026 \nL 279.645788 113.915051 \nL 276.889084 114.758832 \nL 273.947796 115.948062 \nL 270.873403 117.443126 \nL 267.717651 119.201528 \nL 264.530773 121.180082 \nL 261.359989 123.336807 \nL 258.248338 125.632301 \nL 255.233822 128.030724 \nL 252.348941 130.500322 \nL 249.620521 133.013586 \nL 247.069827 135.547113 \nL 244.712887 138.081334 \nL 242.560957 140.600045 \nL 240.621097 143.089939 \nL 238.896788 145.540113 \nL 237.388578 147.941585 \nL 236.094684 150.286878 \nL 235.011562 152.569638 \nL 234.134443 154.784306 \nL 233.457769 156.925856 \nL 232.975589 158.989552 \nL 232.681891 160.970769 \nL 232.570857 162.864806 \nL 232.637075 164.666773 \nL 232.87569 166.37142 \nL 233.282513 167.97306 \nL 233.854084 169.465435 \nL 234.587705 170.841606 \nL 235.481425 172.093858 \nL 236.534017 173.213584 \nL 237.744894 174.191201 \nL 239.114031 175.016021 \nL 240.641823 175.676202 \nL 242.32893 176.158647 \nL 244.176092 176.448962 \nL 246.183877 176.531441 \nL 248.352419 176.389092 \nL 250.681091 176.003744 \nL 253.168118 175.356238 \nL 255.810149 174.426716 \nL 258.60175 173.195069 \nL 261.534842 171.641583 \nL 264.598097 169.747751 \nL 267.776247 167.497372 \nL 271.049404 164.877906 \nL 274.392349 161.882085 \nL 277.773894 158.509804 \nL 281.15629 154.770219 \nL 284.494863 150.683934 \nL 287.737889 146.285144 \nL 290.826819 141.62347 \nL 293.697019 136.765255 \nL 296.279067 131.793877 \nL 298.500675 126.808831 \nL 300.289331 121.923254 \nL 301.575554 117.259705 \nL 302.296641 112.944251 \nL 302.400665 109.099227 \nL 301.850378 105.835245 \nL 300.626637 103.243355 \nL 298.730907 101.388318 \nL 296.186448 100.304132 \nL 293.038033 99.992185 \nL 289.349983 100.422673 \nL 285.202858 101.538768 \nL 280.688959 103.262949 \nL 275.907276 105.504577 \nL 270.95829 108.167427 \nL 265.939213 111.15656 \nL 260.939987 114.383615 \nL 256.040314 117.770437 \nL 251.307754 121.250956 \nL 246.7969 124.771649 \nL 242.549397 128.290894 \nL 238.594681 131.777666 \nL 234.95118 135.209817 \nL 231.627805 138.57236 \nL 228.625541 141.855825 \nL 225.939051 145.05479 \nL 223.55817 148.166721 \nL 221.469253 151.191 \nL 219.656355 154.128254 \nL 218.102211 156.979791 \nL 216.789055 159.747283 \nL 215.699257 162.432476 \nL 214.815818 165.037074 \nL 214.122743 167.562603 \nL 213.605307 170.010362 \nL 213.250222 172.38139 \nL 213.04575 174.676447 \nL 212.981756 176.895988 \nL 213.049717 179.040133 \nL 213.242709 181.108667 \nL 213.555361 183.101 \nL 213.98382 185.016113 \nL 214.525681 186.852515 \nL 215.179935 188.608202 \nL 215.94691 190.280546 \nL 216.828216 191.866228 \nL 217.826693 193.36112 \nL 218.946364 194.760166 \nL 220.19238 196.057215 \nL 221.570992 197.24487 \nL 223.089489 198.31427 \nL 224.756155 199.254883 \nL 226.580201 200.054239 \nL 228.571693 200.697638 \nL 230.741441 201.167859 \nL 233.100855 201.444793 \nL 235.661779 201.505108 \nL 238.436223 201.321884 \nL 241.436043 200.864274 \nL 244.6725 200.097225 \nL 248.155719 198.98128 \nL 251.893953 197.472579 \nL 255.892691 195.523082 \nL 260.153537 193.081206 \nL 264.672826 190.092968 \nL 269.439995 186.503845 \nL 274.43564 182.261535 \nL 279.629358 177.319857 \nL 284.977347 171.64392 \nL 290.41997 165.21671 \nL 295.879418 158.046901 \nL 301.257826 150.177706 \nL 306.436232 141.695835 \nL 311.274891 132.73938 \nL 315.615572 123.502895 \nL 319.286333 114.237446 \nL 322.109288 105.243499 \nL 323.911349 96.854965 \nL 324.537544 89.414161 \nL 323.865731 83.239662 \nL 321.820939 78.591159 \nL 318.386979 75.637839 \nL 313.612998 74.436962 \nL 307.613306 74.928032 \nL 300.55986 76.944395 \nL 292.668256 80.239635 \nL 284.179523 84.522718 \nL 275.34062 89.494113 \nL 266.386601 94.87606 \nL 257.526601 100.43307 \nL 240.746405 111.390713 \nL 225.929407 121.491695 \nL 213.448247 130.459994 \nL 208.085654 134.527011 \nL 203.274781 138.339706 \nL 198.977163 141.919926 \nL 195.148277 145.289389 \nL 191.740427 148.468186 \nL 188.70492 151.473993 \nL 183.560272 157.023767 \nL 179.354116 162.026865 \nL 170.987667 172.406953 \nL 167.885155 175.717599 \nL 166.293818 177.180642 \nL 164.650904 178.507546 \nL 162.939691 179.69061 \nL 161.144789 180.720638 \nL 159.25201 181.586831 \nL 157.248273 182.276676 \nL 155.121577 182.775856 \nL 152.861013 183.068115 \nL 150.456847 183.135213 \nL 147.900687 182.956887 \nL 145.185705 182.510872 \nL 142.306959 181.773044 \nL 139.261815 180.717692 \nL 136.050477 179.317953 \nL 132.676619 177.546499 \nL 129.148117 175.376509 \nL 125.47791 172.782984 \nL 121.684939 169.744497 \nL 117.795129 166.245342 \nL 113.842382 162.278198 \nL 109.869517 157.847166 \nL 105.928987 152.971138 \nL 102.083328 147.687196 \nL 98.4051 142.05383 \nL 94.976166 136.153367 \nL 91.886149 130.093101 \nL 89.22985 124.004532 \nL 87.103622 118.040045 \nL 85.600662 112.366737 \nL 84.805469 107.157335 \nL 84.787799 102.578765 \nL 85.596731 98.779404 \nL 87.255484 95.876731 \nL 89.757747 93.947103 \nL 93.066189 93.019464 \nL 97.113449 93.074153 \nL 101.80569 94.046923 \nL 107.028367 95.837577 \nL 112.653492 98.321579 \nL 118.547518 101.362627 \nL 124.578952 104.824366 \nL 130.624915 108.579845 \nL 136.576138 112.517907 \nL 142.34021 116.546506 \nL 147.84311 120.59344 \nL 153.029243 124.60509 \nL 157.860391 128.543983 \nL 162.313865 132.385855 \nL 166.380269 136.116653 \nL 170.061089 139.729802 \nL 173.366354 143.223912 \nL 176.312468 146.600954 \nL 178.920312 149.864902 \nL 181.213628 153.020774 \nL 183.217692 156.073956 \nL 184.958266 159.029785 \nL 186.460793 161.893329 \nL 187.749791 164.669248 \nL 188.848441 167.361754 \nL 189.778305 169.974634 \nL 191.208968 174.974701 \nL 192.177894 179.692554 \nL 192.79257 184.147154 \nL 193.134624 188.354515 \nL 193.263533 192.328592 \nL 193.220414 196.081781 \nL 192.886998 201.321341 \nL 192.261634 206.120906 \nL 191.680061 209.089079 \nL 190.953351 211.878674 \nL 190.061604 214.492954 \nL 188.97729 216.932261 \nL 187.664621 219.192939 \nL 186.0785 221.265755 \nL 184.163078 223.133604 \nL 183.061048 223.982365 \nL 181.84994 224.76813 \nL 180.518891 225.484793 \nL 179.055972 226.124818 \nL 177.448118 226.678956 \nL 175.681057 227.135898 \nL 173.739254 227.481881 \nL 171.605862 227.700204 \nL 169.262701 227.770674 \nL 166.690274 227.668957 \nL 163.867838 227.365836 \nL 160.773544 226.826385 \nL 157.384678 226.009049 \nL 153.678042 224.864679 \nL 149.630531 223.335544 \nL 145.219941 221.354455 \nL 140.42609 218.844064 \nL 135.232361 215.716611 \nL 129.627726 211.874362 \nL 123.609392 207.211177 \nL 117.186124 201.615724 \nL 110.382412 194.977033 \nL 103.243387 187.193091 \nL 95.840493 178.1833 \nL 88.277595 167.905286 \nL 80.69702 156.376056 \nL 73.284631 143.696432 \nL 66.27259 130.076042 \nL 59.938124 115.854014 \nL 54.59621 101.508247 \nL 50.584388 87.64466 \nL 48.238526 74.958724 \nL 47.860354 64.166193 \nL 49.679712 55.908635 \nL 53.817698 50.650624 \nL 60.258726 48.594456 \nL 68.839287 49.639128 \nL 79.258526 53.399644 \nL 91.110085 59.283057 \nL 103.928717 66.598195 \nL 117.241398 74.666816 \nL 143.674685 90.884834 \nL 156.146251 98.308459 \nL 167.831305 105.022722 \nL 178.612307 110.971597 \nL 188.436348 116.167023 \nL 197.3 120.661214 \nL 205.235066 124.526037 \nL 218.552814 130.675556 \nL 228.951879 135.182027 \nL 237.031459 138.48411 \nL 243.333407 140.888202 \nL 248.308634 142.598047 \nL 252.313321 143.746642 \nL 255.617757 144.421586 \nL 258.419146 144.68329 \nL 260.854628 144.577594 \nL 263.013002 144.144554 \nL 264.944799 143.424538 \nL 266.670891 142.462396 \nL 268.18997 141.31005 \nL 269.485271 140.027507 \nL 270.53086 138.68238 \nL 271.297588 137.347804 \nL 271.758715 136.098952 \nL 271.895028 135.008394 \nL 271.699062 134.14102 \nL 271.1781 133.549102 \nL 270.355604 133.268421 \nL 269.27086 133.315917 \nL 267.97695 133.689353 \nL 266.537368 134.368785 \nL 265.021764 135.319434 \nL 263.501408 136.495468 \nL 262.044978 137.843892 \nL 260.715129 139.308091 \nL 259.565999 140.830661 \nL 258.641742 142.355467 \nL 257.976004 143.828872 \nL 257.592058 145.200453 \nL 257.503347 146.423237 \nL 257.714181 147.453882 \nL 258.220401 148.252831 \nL 259.009801 148.784724 \nL 260.062301 149.019186 \nL 261.349779 148.932023 \nL 262.835693 148.506998 \nL 264.474648 147.738091 \nL 266.211999 146.632135 \nL 267.983937 145.211586 \nL 269.718202 143.516968 \nL 271.335907 141.608458 \nL 272.754603 139.565803 \nL 273.892804 137.486033 \nL 274.67578 135.478439 \nL 275.042128 133.656879 \nL 275.055182 132.850333 \nL 274.950436 132.130112 \nL 274.726757 131.50733 \nL 274.384845 130.991545 \nL 273.927284 130.590525 \nL 273.358529 130.310084 \nL 272.684861 130.153973 \nL 271.914241 130.123845 \nL 271.056171 130.219298 \nL 269.122138 130.775599 \nL 266.981039 131.783309 \nL 264.740128 133.180813 \nL 262.507223 134.892243 \nL 260.383298 136.834931 \nL 258.45707 138.925397 \nL 256.80172 141.08345 \nL 255.473753 143.234386 \nL 254.513465 145.309694 \nL 253.94649 147.24673 \nL 253.785812 148.987868 \nL 254.033768 150.479548 \nL 254.309204 151.116015 \nL 254.683638 151.671493 \nL 255.154972 152.140151 \nL 255.720632 152.516371 \nL 256.377539 152.794756 \nL 257.122097 152.970179 \nL 257.950154 153.037859 \nL 258.856963 152.993412 \nL 260.884538 152.553307 \nL 263.152767 151.627227 \nL 265.596312 150.207303 \nL 268.134864 148.305995 \nL 270.672336 145.962098 \nL 273.09755 143.246281 \nL 275.287301 140.264521 \nL 277.112315 137.157763 \nL 278.446421 134.096102 \nL 278.893688 132.640424 \nL 279.178426 131.266548 \nL 279.291262 129.997537 \nL 279.22539 128.855057 \nL 278.976902 127.85871 \nL 278.545039 127.025403 \nL 277.932339 126.368854 \nL 277.144696 125.89916 \nL 276.191262 125.622598 \nL 275.084279 125.541515 \nL 273.83877 125.654439 \nL 272.472153 125.956332 \nL 271.003749 126.438949 \nL 269.454266 127.091327 \nL 266.198626 128.851134 \nL 262.878369 131.114206 \nL 259.656471 133.749248 \nL 256.674438 136.628036 \nL 254.045913 139.633372 \nL 251.855007 142.662439 \nL 250.158221 145.626677 \nL 248.988635 148.44962 \nL 248.606727 149.786748 \nL 248.360999 151.063776 \nL 248.251247 152.273148 \nL 248.276698 153.407493 \nL 248.436109 154.459538 \nL 248.72785 155.422049 \nL 249.149962 156.287779 \nL 249.700184 157.049433 \nL 250.375966 157.699636 \nL 251.174447 158.230938 \nL 252.092428 158.635813 \nL 253.126309 158.906696 \nL 254.272003 159.036071 \nL 255.524837 159.016537 \nL 256.879437 158.840943 \nL 258.32958 158.502542 \nL 259.868053 157.995218 \nL 261.486487 157.313714 \nL 263.175188 156.453953 \nL 264.922986 155.413357 \nL 266.717049 154.19125 \nL 268.542785 152.789267 \nL 270.383704 151.211811 \nL 272.22137 149.466485 \nL 274.035398 147.564544 \nL 275.803526 145.521264 \nL 277.501784 143.356224 \nL 279.104746 141.093478 \nL 280.585946 138.761528 \nL 281.918388 136.393095 \nL 283.075163 134.024637 \nL 284.030231 131.69559 \nL 284.759248 129.447334 \nL 285.240477 127.321927 \nL 285.455709 125.360655 \nL 285.39116 123.602441 \nL 285.038223 122.082294 \nL 284.394101 120.829837 \nL 283.462229 119.868105 \nL 282.252386 119.212661 \nL 280.780575 118.871151 \nL 279.068586 118.843284 \nL 277.143304 119.121285 \nL 275.035795 119.690696 \nL 272.780225 120.531514 \nL 270.412695 121.619468 \nL 267.970047 122.927394 \nL 265.488776 124.426559 \nL 263.004 126.087847 \nL 260.548625 127.88274 \nL 258.152689 129.784099 \nL 255.842918 131.766712 \nL 253.642459 133.807594 \nL 251.570793 135.886131 \nL 249.643812 137.984065 \nL 247.873996 140.085373 \nL 246.270691 142.176054 \nL 244.840457 144.243895 \nL 243.587425 146.278199 \nL 242.513697 148.269522 \nL 241.619711 150.209418 \nL 240.904604 152.090224 \nL 240.366546 153.904797 \nL 240.003018 155.64638 \nL 239.811078 157.308387 \nL 239.787566 158.884276 \nL 239.929273 160.367401 \nL 240.233076 161.75092 \nL 240.69602 163.027656 \nL 241.315384 164.190022 \nL 242.088688 165.229941 \nL 243.013695 166.138773 \nL 244.088338 166.907244 \nL 245.310674 167.525427 \nL 246.678742 167.98272 \nL 248.19045 168.267854 \nL 249.843371 168.368934 \nL 251.634559 168.273532 \nL 253.560286 167.968847 \nL 255.615776 167.441903 \nL 257.794886 166.679847 \nL 260.089767 165.670347 \nL 262.490481 164.402115 \nL 264.984624 162.865517 \nL 267.556902 161.053359 \nL 270.188749 158.961771 \nL 272.857965 156.591223 \nL 275.538396 153.947659 \nL 278.199728 151.043625 \nL 280.807413 147.899434 \nL 283.322783 144.544161 \nL 285.703391 141.016395 \nL 287.903664 137.36464 \nL 289.875834 133.647116 \nL 291.571248 129.930936 \nL 292.942 126.290434 \nL 293.942846 122.804734 \nL 294.533345 119.554514 \nL 294.680082 116.618185 \nL 294.358796 114.067745 \nL 293.556235 111.964732 \nL 292.271556 110.35666 \nL 290.51709 109.27429 \nL 288.318345 108.730261 \nL 285.713191 108.718991 \nL 282.750341 109.218094 \nL 279.487121 110.190846 \nL 275.986849 111.589583 \nL 272.316011 113.359478 \nL 268.541417 115.442263 \nL 264.727644 117.779652 \nL 260.934878 120.316047 \nL 257.217255 123.000529 \nL 253.621748 125.788069 \nL 250.187606 128.640069 \nL 246.946237 131.524338 \nL 243.921499 134.414704 \nL 241.130259 137.290323 \nL 238.583158 140.134941 \nL 236.285484 142.936055 \nL 234.238072 145.684166 \nL 232.438216 148.3721 \nL 230.880503 150.994408 \nL 229.55758 153.546887 \nL 228.460831 156.026162 \nL 227.580952 158.429398 \nL 226.908436 160.754043 \nL 226.433962 162.997614 \nL 226.148711 165.157551 \nL 226.044598 167.231095 \nL 226.114454 169.215147 \nL 226.352145 171.106204 \nL 226.752648 172.900232 \nL 227.312089 174.592564 \nL 228.027751 176.177805 \nL 228.898062 177.649737 \nL 229.922534 179.001176 \nL 231.101718 180.223848 \nL 232.437113 181.308265 \nL 233.931053 182.243568 \nL 235.586589 183.017391 \nL 237.407327 183.615697 \nL 239.397234 184.022661 \nL 241.560427 184.220512 \nL 243.900884 184.189485 \nL 246.422112 183.907734 \nL 249.126765 183.351416 \nL 252.016159 182.494806 \nL 255.089712 181.310603 \nL 258.344291 179.770442 \nL 261.773446 177.845635 \nL 265.366528 175.508256 \nL 269.107753 172.732602 \nL 272.975127 169.497121 \nL 276.939363 165.786773 \nL 280.962817 161.595949 \nL 284.998498 156.931731 \nL 288.989321 151.817525 \nL 292.86775 146.296637 \nL 296.555922 140.435524 \nL 299.966624 134.326119 \nL 303.005115 128.086603 \nL 305.572117 121.859942 \nL 307.567909 115.809636 \nL 308.897545 110.112316 \nL 309.476867 104.94736 \nL 309.238933 100.484179 \nL 308.140092 96.868667 \nL 306.165087 94.210545 \nL 303.330264 92.573612 \nL 299.684402 91.970716 \nL 295.306778 92.364328 \nL 290.302595 93.672597 \nL 284.79629 95.779908 \nL 278.923514 98.549755 \nL 272.822847 101.83811 \nL 266.628049 105.505108 \nL 260.461723 109.423883 \nL 254.430737 113.486121 \nL 248.623495 117.6044 \nL 243.108998 121.711958 \nL 237.937295 125.760733 \nL 233.140995 129.718457 \nL 228.737427 133.565399 \nL 224.73109 137.291257 \nL 221.116187 140.892441 \nL 217.879017 144.369835 \nL 215.000132 147.727112 \nL 212.456198 150.969453 \nL 210.221549 154.102725 \nL 208.269437 157.13287 \nL 206.573012 160.065628 \nL 205.106052 162.906289 \nL 203.843499 165.659668 \nL 202.761813 168.330088 \nL 201.055743 173.436989 \nL 199.836005 178.253062 \nL 198.980302 182.799415 \nL 198.393292 187.09375 \nL 197.863711 193.095884 \nL 197.61186 198.610679 \nL 197.53969 205.2745 \nL 197.719021 212.613724 \nL 198.039633 217.782153 \nL 198.54116 222.394657 \nL 199.073324 225.521669 \nL 199.786061 228.384314 \nL 200.390738 230.152592 \nL 201.125714 231.811474 \nL 202.019923 233.361113 \nL 203.109014 234.798858 \nL 204.436851 236.118043 \nL 206.057354 237.306158 \nL 208.036703 238.342102 \nL 210.455938 239.192066 \nL 213.413952 239.803413 \nL 215.131582 239.995856 \nL 217.03073 240.095608 \nL 219.130219 240.086067 \nL 221.45056 239.94693 \nL 224.013996 239.653419 \nL 226.844499 239.175396 \nL 229.967703 238.47633 \nL 233.410733 237.512111 \nL 237.201895 236.22975 \nL 241.370175 234.56597 \nL 245.944483 232.445791 \nL 250.952532 229.781214 \nL 256.419264 226.470242 \nL 262.364682 222.396554 \nL 268.800928 217.430336 \nL 275.728447 211.430917 \nL 283.131067 204.252197 \nL 290.969914 195.751896 \nL 299.176129 185.805958 \nL 307.642616 174.329233 \nL 316.215323 161.303021 \nL 324.685163 146.808877 \nL 332.782191 131.065631 \nL 340.174547 114.463413 \nL 346.475134 97.584247 \nL 351.259219 81.19574 \nL 354.095244 66.203948 \nL 354.588722 53.557818 \nL 352.435138 44.111441 \nL 347.473205 38.469598 \nL 339.72576 36.859522 \nL 329.415571 39.073779 \nL 316.948074 44.510723 \nL 302.86237 52.30292 \nL 287.761839 61.490548 \nL 272.241578 71.183685 \nL 256.828942 80.671665 \nL 241.946741 89.465886 \nL 227.900379 97.288023 \nL 214.883866 104.027223 \nL 202.997207 109.688421 \nL 192.268172 114.346105 \nL 182.673566 118.109266 \nL 174.157392 121.098254 \nL 166.644997 123.431069 \nL 160.053327 125.216431 \nL 154.297888 126.551059 \nL 149.297141 127.519375 \nL 144.975031 128.194354 \nL 138.096353 128.907159 \nL 133.189914 129.095761 \nL 126.934903 129.163313 \nL 126.79421 129.323218 \nL 126.842109 129.557988 \nL 127.413251 130.270759 \nL 132.263413 135.187259 \nL 134.646781 138.101801 \nL 136.059646 140.152497 \nL 137.240724 142.210695 \nL 138.133049 144.212637 \nL 138.69655 146.098709 \nL 138.905977 147.813419 \nL 138.748767 149.304945 \nL 138.223186 150.524731 \nL 137.824346 151.018387 \nL 137.337031 151.427295 \nL 136.7636 151.746307 \nL 136.106956 151.970535 \nL 135.370571 152.095405 \nL 133.675503 152.030765 \nL 131.718776 151.52506 \nL 129.552282 150.561804 \nL 127.240831 149.139765 \nL 124.863234 147.277928 \nL 122.512453 145.020612 \nL 120.294244 142.441765 \nL 118.323603 139.64698 \nL 116.718573 136.771832 \nL 115.591472 133.975266 \nL 115.238026 132.65965 \nL 115.038015 131.427566 \nL 114.998898 130.29937 \nL 115.125708 129.293929 \nL 115.420778 128.428062 \nL 115.883571 127.716053 \nL 116.510586 127.169216 \nL 117.295356 126.795617 \nL 118.228551 126.59989 \nL 119.298165 126.58325 \nL 120.48983 126.743583 \nL 121.787176 127.07569 \nL 123.172245 127.571624 \nL 126.128625 129.012067 \nL 129.201459 130.963293 \nL 132.237054 133.308577 \nL 135.096986 135.928642 \nL 137.665566 138.710461 \nL 139.853112 141.551988 \nL 141.59566 144.363481 \nL 142.852209 147.066555 \nL 143.600659 149.591912 \nL 143.781537 150.768142 \nL 143.833485 151.876744 \nL 143.757204 152.910463 \nL 143.553874 153.86214 \nL 143.225092 154.724702 \nL 142.772826 155.491074 \nL 142.199404 156.154183 \nL 141.507497 156.706964 \nL 140.700157 157.142334 \nL 139.780846 157.453245 \nL 138.753504 157.632726 \nL 137.622628 157.673962 \nL 136.393363 157.570416 \nL 135.071623 157.315949 \nL 133.664213 156.905003 \nL 132.178952 156.332817 \nL 130.624832 155.595664 \nL 129.012145 154.691157 \nL 127.35261 153.618566 \nL 125.659499 152.379169 \nL 123.947724 150.976638 \nL 122.233888 149.417414 \nL 120.536299 147.711055 \nL 118.874909 145.870593 \nL 117.271186 143.912773 \nL 115.747881 141.858206 \nL 114.328743 139.731394 \nL 113.038057 137.560573 \nL 111.90016 135.37736 \nL 110.938789 133.216165 \nL 110.176387 131.113409 \nL 109.633338 129.1065 \nL 109.327183 127.23264 \nL 109.271841 125.527548 \nL 109.476915 124.0241 \nL 109.94709 122.751072 \nL 110.681718 121.731989 \nL 111.674596 120.98426 \nL 112.913977 120.5186 \nL 114.382823 120.338844 \nL 116.059282 120.442073 \nL 117.917392 120.819157 \nL 119.927918 121.455513 \nL 122.059316 122.332119 \nL 124.278757 123.426633 \nL 126.553105 124.714519 \nL 128.849853 126.170112 \nL 131.137925 127.767591 \nL 133.388378 129.481743 \nL 137.674059 133.165758 \nL 141.532795 137.05116 \nL 143.261423 139.024344 \nL 144.840614 140.99764 \nL 146.262097 142.958021 \nL 147.519999 144.893961 \nL 148.610526 146.795174 \nL 149.531639 148.652438 \nL 150.282739 150.457342 \nL 150.864354 152.202102 \nL 151.277871 153.879405 \nL 151.525295 155.482193 \nL 151.609026 157.003556 \nL 151.5317 158.436591 \nL 151.296046 159.774276 \nL 150.904787 161.009383 \nL 150.360563 162.134359 \nL 149.665919 163.14129 \nL 148.823291 164.02181 \nL 147.835039 164.767064 \nL 146.703521 165.367674 \nL 145.431178 165.813749 \nL 144.02065 166.094867 \nL 142.474958 166.200185 \nL 140.797662 166.118486 \nL 138.993096 165.838353 \nL 137.066601 165.34838 \nL 135.024819 164.63745 \nL 132.875976 163.695099 \nL 130.630207 162.511992 \nL 128.299915 161.080498 \nL 125.90008 159.395334 \nL 123.448597 157.454375 \nL 120.966566 155.259524 \nL 118.478544 152.817622 \nL 116.012661 150.141421 \nL 113.600661 147.25049 \nL 111.277744 144.172018 \nL 109.082238 140.941375 \nL 107.054993 137.602331 \nL 105.23854 134.20685 \nL 103.675942 130.81429 \nL 102.409426 127.489993 \nL 101.47871 124.303214 \nL 100.919231 121.324443 \nL 100.760299 118.622268 \nL 101.023316 116.259976 \nL 101.720218 114.292238 \nL 102.852306 112.762131 \nL 104.409605 111.698893 \nL 106.370788 111.116584 \nL 108.703786 111.013886 \nL 111.36698 111.375007 \nL 114.311005 112.171498 \nL 117.480838 113.364908 \nL 120.818172 114.909727 \nL 124.263802 116.756492 \nL 127.759801 118.854623 \nL 131.251475 121.154861 \nL 134.688856 123.611108 \nL 138.027805 126.181665 \nL 141.230654 128.829922 \nL 144.266439 131.52456 \nL 147.110804 134.239384 \nL 149.745625 136.952907 \nL 152.158438 139.647768 \nL 154.341753 142.310121 \nL 156.292292 144.928987 \nL 158.01023 147.495682 \nL 159.498456 150.003277 \nL 160.761889 152.446138 \nL 161.806858 154.819572 \nL 162.640568 157.119494 \nL 163.270633 159.342161 \nL 163.704693 161.483993 \nL 163.950121 163.54136 \nL 164.013765 165.510477 \nL 163.901773 167.38724 \nL 163.619468 169.167129 \nL 163.171251 170.8451 \nL 162.560566 172.415474 \nL 161.789885 173.871811 \nL 160.860731 175.206824 \nL 159.773717 176.412241 \nL 158.528626 177.478708 \nL 157.124512 178.39565 \nL 155.559808 179.151146 \nL 153.8325 179.731854 \nL 151.940302 180.122863 \nL 149.880893 180.307645 \nL 147.652181 180.26802 \nL 145.252622 179.984171 \nL 142.68161 179.434747 \nL 139.939919 178.597055 \nL 137.030225 177.44745 \nL 133.95771 175.961824 \nL 130.730748 174.116413 \nL 127.361657 171.888821 \nL 123.867528 169.259396 \nL 120.271108 166.212962 \nL 116.601655 162.740895 \nL 112.895791 158.843581 \nL 109.198176 154.533128 \nL 105.562 149.836222 \nL 102.049084 144.796829 \nL 98.729503 139.478538 \nL 95.680557 133.965949 \nL 92.984982 128.364766 \nL 90.728257 122.800058 \nL 88.995056 117.412313 \nL 87.864899 112.3511 \nL 87.407247 107.766655 \nL 87.676376 103.799836 \nL 88.706661 100.571616 \nL 90.508668 98.173407 \nL 93.066767 96.659794 \nL 96.338609 96.0446 \nL 100.25674 96.301225 \nL 104.73219 97.367119 \nL 109.659744 99.151418 \nL 114.924222 101.544763 \nL 120.407102 104.429451 \nL 125.992783 107.688723 \nL 131.573856 111.214075 \nL 137.055079 114.910275 \nL 142.355945 118.697878 \nL 147.411828 122.513768 \nL 152.173964 126.310174 \nL 156.608522 130.052791 \nL 160.69507 133.718436 \nL 164.424671 137.292644 \nL 167.797864 140.767503 \nL 170.822674 144.139749 \nL 173.512764 147.409264 \nL 175.885795 150.577921 \nL 177.962017 153.648737 \nL 179.763098 156.625281 \nL 181.311199 159.511271 \nL 182.628228 162.310347 \nL 183.735301 165.025933 \nL 184.65234 167.661173 \nL 185.397802 170.218884 \nL 185.988511 172.701593 \nL 186.764344 177.450653 \nL 187.079842 181.923151 \nL 187.008288 186.130204 \nL 186.598558 190.079557 \nL 185.877852 193.775428 \nL 184.854212 197.217945 \nL 183.51853 200.402056 \nL 181.84589 203.31581 \nL 180.871284 204.665099 \nL 179.796255 205.9379 \nL 178.613455 207.129507 \nL 177.314579 208.234109 \nL 175.890347 209.244603 \nL 174.330494 210.152352 \nL 172.623758 210.946929 \nL 170.757876 211.615802 \nL 168.719597 212.143974 \nL 166.494724 212.513578 \nL 164.068179 212.703422 \nL 161.424129 212.68847 \nL 158.546159 212.439312 \nL 155.417549 211.921579 \nL 152.021661 211.095384 \nL 148.342461 209.914795 \nL 144.365232 208.327456 \nL 140.077525 206.2744 \nL 135.470379 203.690257 \nL 130.539907 200.504005 \nL 125.289235 196.640573 \nL 119.730926 192.023538 \nL 113.889832 186.57937 \nL 107.806378 180.243528 \nL 101.540218 172.968794 \nL 95.173987 164.735994 \nL 88.816873 155.566907 \nL 82.607362 145.538649 \nL 76.7145 134.797954 \nL 71.336646 123.572716 \nL 66.696713 112.17727 \nL 63.032893 101.007226 \nL 60.584391 90.520013 \nL 59.572377 81.199251 \nL 60.177648 73.504853 \nL 62.517808 67.815361 \nL 66.627815 64.373849 \nL 72.448252 63.250509 \nL 79.824596 64.332674 \nL 88.51886 67.346215 \nL 98.231973 71.90305 \nL 108.632896 77.562312 \nL 119.388975 83.889951 \nL 140.779319 97.104533 \nL 197.743777 132.918031 \nL 207.872483 139.653052 \nL 215.886082 145.311963 \nL 222.271578 150.1134 \nL 233.899341 159.14407 \nL 237.692726 161.684037 \nL 239.531757 162.722962 \nL 241.363484 163.602335 \nL 243.207327 164.316408 \nL 245.079795 164.858321 \nL 246.994657 165.22023 \nL 248.963062 165.393477 \nL 250.993615 165.368762 \nL 253.092385 165.136338 \nL 255.262892 164.686307 \nL 257.506016 164.008905 \nL 259.819889 163.094926 \nL 262.199721 161.936225 \nL 264.637617 160.526278 \nL 267.12237 158.860897 \nL 269.639238 156.93901 \nL 272.169776 154.763522 \nL 274.691685 152.34225 \nL 277.178749 149.688863 \nL 279.600907 146.823786 \nL 281.924447 143.77492 \nL 284.112442 140.578198 \nL 286.125363 137.277769 \nL 287.921995 133.925707 \nL 289.460583 130.581207 \nL 290.700268 127.309141 \nL 291.602724 124.177959 \nL 292.133912 121.257045 \nL 292.265922 118.613618 \nL 291.978713 116.309423 \nL 291.261594 114.397522 \nL 290.114338 112.919381 \nL 288.547802 111.902815 \nL 286.583935 111.360722 \nL 284.255134 111.290944 \nL 281.603025 111.67726 \nL 278.67673 112.491205 \nL 275.530747 113.694617 \nL 272.222655 115.242605 \nL 268.810789 117.086526 \nL 265.352105 119.176736 \nL 261.900324 121.464959 \nL 258.504444 123.906022 \nL 255.207725 126.459074 \nL 252.047058 129.088251 \nL 249.052751 131.762824 \nL 246.248639 134.457069 \nL 243.652465 137.149833 \nL 241.276422 139.823996 \nL 239.127853 142.465838 \nL 237.20998 145.064459 \nL 235.522648 147.611174 \nL 234.063059 150.09903 \nL 232.826427 152.522331 \nL 231.806592 154.876291 \nL 230.996547 157.156712 \nL 230.388884 159.359759 \nL 229.976165 161.481707 \nL 229.751232 163.518812 \nL 229.707431 165.467135 \nL 229.838799 167.322437 \nL 230.140184 169.080043 \nL 230.607336 170.734746 \nL 231.236937 172.280696 \nL 232.026614 173.711273 \nL 232.974928 175.019002 \nL 234.081306 176.195421 \nL 235.345982 177.230964 \nL 236.769883 178.114849 \nL 238.354507 178.834959 \nL 240.101758 179.377729 \nL 242.013757 179.728077 \nL 244.092604 179.869321 \nL 246.340099 179.78316 \nL 248.75741 179.449717 \nL 251.344689 178.847668 \nL 254.100602 177.954482 \nL 257.02181 176.746797 \nL 260.102354 175.201027 \nL 263.332965 173.294144 \nL 266.700307 171.004799 \nL 270.186149 168.314733 \nL 273.766519 165.210553 \nL 277.410852 161.685852 \nL 281.081218 157.743671 \nL 284.731665 153.39916 \nL 288.307853 148.682369 \nL 291.747051 143.640818 \nL 294.978635 138.341555 \nL 297.925275 132.8723 \nL 300.504868 127.341118 \nL 302.633361 121.874286 \nL 304.228378 116.611951 \nL 305.21363 111.70153 \nL 305.52374 107.289082 \nL 305.109196 103.509418 \nL 303.94085 100.475975 \nL 302.013416 98.271772 \nL 299.347469 96.942899 \nL 295.989547 96.495539 \nL 292.010197 96.897031 \nL 287.500122 98.080814 \nL 282.564844 99.954367 \nL 277.318438 102.408857 \nL 271.877146 105.32888 \nL 266.353407 108.601204 \nL 260.850911 112.121554 \nL 255.460953 115.799 \nL 250.26018 119.558128 \nL 245.309651 123.339299 \nL 240.655014 127.097579 \nL 236.327513 130.800802 \nL 232.345551 134.427293 \nL 228.716568 137.96358 \nL 225.439005 141.402334 \nL 222.504238 144.740548 \nL 219.898357 147.978162 \nL 217.603733 151.116957 \nL 215.600367 154.159769 \nL 213.866997 157.109936 \nL 212.381993 159.970946 \nL 211.124046 162.746196 \nL 210.072693 165.438883 \nL 209.208686 168.051925 \nL 208.514247 170.587935 \nL 207.973229 173.049252 \nL 207.571192 175.437912 \nL 207.134945 180.004125 \nL 207.124093 184.297947 \nL 207.482671 188.327068 \nL 208.177674 192.095363 \nL 209.196526 195.602375 \nL 210.544958 198.842151 \nL 211.349175 200.358051 \nL 212.245482 201.801504 \nL 213.239169 203.169308 \nL 214.336497 204.457434 \nL 215.544692 205.660868 \nL 216.871962 206.77346 \nL 218.327495 207.787705 \nL 219.92147 208.69452 \nL 221.665054 209.482966 \nL 223.570399 210.139935 \nL 225.650607 210.649789 \nL 227.919683 210.993962 \nL 230.392438 211.150488 \nL 233.084353 211.093526 \nL 236.011359 210.79281 \nL 239.189544 210.21313 \nL 242.634725 209.313804 \nL 246.361866 208.048226 \nL 250.384318 206.363589 \nL 254.712815 204.200843 \nL 259.354166 201.49508 \nL 264.309641 198.176538 \nL 269.572933 194.172483 \nL 275.127715 189.410286 \nL 280.944776 183.822027 \nL 286.978749 177.350995 \nL 293.164615 169.960349 \nL 299.414162 161.643966 \nL 305.612824 152.439159 \nL 311.617473 142.440386 \nL 317.255948 131.812101 \nL 322.329234 120.798082 \nL 326.617257 109.723722 \nL 329.889099 98.987369 \nL 331.917963 89.03759 \nL 332.500243 80.335585 \nL 331.477083 73.305521 \nL 328.755452 68.28031 \nL 324.324859 65.45389 \nL 318.265917 64.852005 \nL 310.748112 66.330009 \nL 302.0161 69.599369 \nL 292.366684 74.27603 \nL 282.120642 79.938307 \nL 271.594544 86.180666 \nL 250.812227 99.082565 \nL 215.324832 121.535551 \nL 201.759399 130.289034 \nL 190.858603 137.61444 \nL 182.214404 143.797811 \nL 175.353385 149.074937 \nL 167.41717 155.629055 \nL 161.164404 160.78221 \nL 157.431242 163.475461 \nL 155.608421 164.593766 \nL 153.783981 165.55363 \nL 151.938531 166.348708 \nL 150.055396 166.971447 \nL 148.120473 167.413172 \nL 146.122119 167.664239 \nL 144.051081 167.714149 \nL 141.900497 167.551718 \nL 139.665942 167.165325 \nL 137.345531 166.543194 \nL 134.940069 165.673781 \nL 132.453259 164.546253 \nL 129.891952 163.151079 \nL 127.266415 161.480773 \nL 124.590622 159.530711 \nL 121.882532 157.30014 \nL 119.164353 154.793221 \nL 116.462703 152.020189 \nL 113.808693 148.998487 \nL 111.237829 145.753816 \nL 108.789729 142.321015 \nL 106.507557 138.744571 \nL 104.43718 135.078695 \nL 102.625989 131.386716 \nL 101.121378 127.739818 \nL 99.96896 124.214895 \nL 99.210489 120.891659 \nL 98.881684 117.849096 \nL 99.01006 115.161454 \nL 99.612959 112.894203 \nL 100.69597 111.100227 \nL 102.251916 109.816862 \nL 104.260541 109.063927 \nL 106.688971 108.84315 \nL 109.492973 109.138963 \nL 112.618868 109.920536 \nL 116.005978 111.14481 \nL 119.589366 112.76011 \nL 123.302666 114.709864 \nL 127.08072 116.936162 \nL 130.861884 119.382654 \nL 134.589881 121.996887 \nL 138.215123 124.731767 \nL 141.695472 127.546386 \nL 144.996543 130.406188 \nL 148.091567 133.282749 \nL 150.960946 136.153204 \nL 153.591569 138.999526 \nL 155.975994 141.807739 \nL 158.111555 144.567138 \nL 159.999464 147.269596 \nL 161.643961 149.908938 \nL 163.051519 152.480394 \nL 164.230138 154.980205 \nL 165.18873 157.405262 \nL 165.936608 159.752815 \nL 166.483054 162.020288 \nL 166.836983 164.205086 \nL 167.006675 166.30445 \nL 166.999576 168.315341 \nL 166.822153 170.234342 \nL 166.479803 172.057547 \nL 165.976803 173.78046 \nL 165.316279 175.397893 \nL 164.500229 176.903867 \nL 163.529548 178.291479 \nL 162.404086 179.552809 \nL 161.122733 180.678744 \nL 159.683504 181.65887 \nL 158.083674 182.481318 \nL 156.319917 183.132609 \nL 154.388489 183.597533 \nL 152.285438 183.859005 \nL 150.00687 183.89798 \nL 147.549263 183.69338 \nL 144.909832 183.222145 \nL 142.086979 182.459318 \nL 139.080834 181.378318 \nL 135.893868 179.951363 \nL 132.531631 178.150158 \nL 129.003562 175.946863 \nL 125.323943 173.315442 \nL 121.512892 170.2334 \nL 117.597437 166.684044 \nL 113.612575 162.659153 \nL 109.602273 158.162136 \nL 105.620262 153.211509 \nL 101.730543 147.844437 \nL 98.007359 142.120063 \nL 94.534518 136.122091 \nL 91.403802 129.960001 \nL 88.712393 123.768306 \nL 86.559121 117.703168 \nL 85.039632 111.936026 \nL 84.24066 106.644171 \nL 84.233795 101.998871 \nL 85.069329 98.152169 \nL 86.770894 95.223976 \nL 89.331692 93.291521 \nL 92.712971 92.382946 \nL 96.845095 92.476104 \nL 101.631301 93.503015 \nL 106.953714 95.358942 \nL 112.680901 97.91459 \nL 118.676069 101.029201 \nL 124.804881 104.562671 \nL 130.942202 108.385223 \nL 136.977149 112.383814 \nL 142.816361 116.465474 \nL 148.385452 120.557737 \nL 153.628965 124.607283 \nL 158.509197 128.577279 \nL 163.004256 132.444286 \nL 167.105694 136.195115 \nL 170.816048 139.82403 \nL 174.14641 143.330421 \nL 177.114222 146.716943 \nL 179.74135 149.988145 \nL 182.052444 153.149506 \nL 184.07361 156.206799 \nL 185.831355 159.165676 \nL 187.351787 162.031439 \nL 188.660024 164.80895 \nL 189.779781 167.502578 \nL 190.733108 170.116237 \nL 192.219514 175.117246 \nL 193.258633 179.835768 \nL 193.961073 184.291327 \nL 194.411712 188.500477 \nL 194.748651 194.383591 \nL 194.798881 199.788001 \nL 194.64035 204.751894 \nL 194.306322 209.309222 \nL 193.797841 213.489834 \nL 193.090381 217.319001 \nL 192.485444 219.686475 \nL 191.750864 221.910537 \nL 190.860722 223.993074 \nL 189.78262 225.933178 \nL 188.476459 227.726045 \nL 186.892908 229.361323 \nL 184.971512 230.820666 \nL 182.638457 232.074113 \nL 181.29021 232.609819 \nL 179.803997 233.07475 \nL 178.165652 233.459111 \nL 176.359667 233.750895 \nL 174.369102 233.935419 \nL 172.175538 233.994786 \nL 169.759031 233.907246 \nL 167.098114 233.646452 \nL 164.169854 233.180595 \nL 160.94999 232.471427 \nL 157.413189 231.473175 \nL 153.533452 230.131373 \nL 149.284726 228.381672 \nL 144.64182 226.148718 \nL 139.581652 223.345264 \nL 134.085018 219.871767 \nL 128.138908 215.616791 \nL 121.739582 210.458797 \nL 114.896501 204.269911 \nL 107.637212 196.922581 \nL 100.013217 188.300074 \nL 92.106779 178.311776 \nL 84.038209 166.914018 \nL 75.973082 154.13627 \nL 68.128152 140.111305 \nL 60.774283 125.10546 \nL 54.234036 109.542339 \nL 48.871533 94.010253 \nL 45.072137 79.242167 \nL 43.210978 66.059014 \nL 43.611837 55.274429 \nL 46.501174 47.57217 \nL 51.965967 43.382433 \nL 59.925914 42.792845 \nL 70.129251 45.526038 \nL 82.176199 50.996005 \nL 95.56646 58.426858 \nL 109.759707 66.996038 \nL 138.537971 84.731248 \nL 152.307099 92.910275 \nL 165.283212 100.267445 \nL 177.302633 106.709702 \nL 188.282323 112.238382 \nL 198.201671 116.912166 \nL 207.084717 120.818686 \nL 214.984858 124.055487 \nL 221.972775 126.718431 \nL 228.127494 128.895632 \nL 233.530149 130.664894 \nL 242.391263 133.237669 \nL 249.127362 134.858895 \nL 254.209601 135.827991 \nL 258.008704 136.358403 \nL 261.903913 136.659757 \nL 265.816273 136.771558 \nL 265.81324 136.848779 \nL 265.505525 137.233151 \nL 263.864198 138.98692 \nL 262.894555 140.342838 \nL 262.355095 141.388854 \nL 262.059994 142.362986 \nL 262.053866 143.18141 \nL 262.219504 143.603197 \nL 262.519334 143.903661 \nL 262.946012 144.06759 \nL 263.487092 144.083922 \nL 264.474131 143.819606 \nL 265.601604 143.21349 \nL 266.773508 142.300598 \nL 267.880788 141.150231 \nL 268.81012 139.864169 \nL 269.455642 138.569449 \nL 269.732633 137.405113 \nL 269.686034 136.767884 \nL 269.448396 136.282167 \nL 269.025398 135.97451 \nL 268.432459 135.862315 \nL 267.694074 135.952844 \nL 266.842406 136.24303 \nL 265.436551 137.022437 \nL 264.002496 138.143447 \nL 262.681034 139.499339 \nL 261.598061 140.967195 \nL 260.853784 142.419602 \nL 260.580952 143.31808 \nL 260.501676 144.120575 \nL 260.621096 144.795673 \nL 260.937714 145.315261 \nL 261.443515 145.655178 \nL 262.12414 145.795933 \nL 262.958929 145.723654 \nL 263.921099 145.43107 \nL 264.977918 144.918685 \nL 266.091074 144.195903 \nL 267.77075 142.762285 \nL 269.318272 141.010708 \nL 270.193828 139.743778 \nL 270.888951 138.464027 \nL 271.36184 137.234418 \nL 271.579315 136.119008 \nL 271.51986 135.178396 \nL 271.175971 134.465154 \nL 270.555645 134.019678 \nL 269.682506 133.867173 \nL 268.594614 134.01615 \nL 267.341951 134.458577 \nL 265.983021 135.171493 \nL 264.580853 136.119728 \nL 263.199016 137.259168 \nL 261.89799 138.540049 \nL 260.73235 139.909865 \nL 259.748717 141.31571 \nL 258.98462 142.705952 \nL 258.468079 144.031297 \nL 258.217721 145.245388 \nL 258.243199 146.305175 \nL 258.545713 147.171205 \nL 259.118474 147.807963 \nL 259.946976 148.184457 \nL 261.009052 148.2752 \nL 262.274724 148.061497 \nL 263.705935 147.533243 \nL 265.256308 146.691038 \nL 266.871115 145.548489 \nL 268.4878 144.13444 \nL 270.037139 142.494587 \nL 271.445526 140.692089 \nL 272.638346 138.806471 \nL 273.544482 136.930418 \nL 274.101764 135.164308 \nL 274.262734 133.60875 \nL 274.185145 132.939295 \nL 274.000036 132.355907 \nL 273.707786 131.867389 \nL 273.310448 131.48103 \nL 272.811701 131.202456 \nL 272.216854 131.035504 \nL 271.532717 130.982193 \nL 269.930614 131.215576 \nL 268.084502 131.88396 \nL 266.086285 132.945161 \nL 264.033372 134.339479 \nL 262.021584 135.996262 \nL 260.139247 137.839952 \nL 258.462985 139.79481 \nL 257.055335 141.788042 \nL 255.964041 143.751515 \nL 255.222597 145.62225 \nL 254.851561 147.342217 \nL 254.860171 148.857774 \nL 255.247865 150.119009 \nL 255.581304 150.639607 \nL 256.005416 151.079465 \nL 256.517787 151.433324 \nL 257.115501 151.696183 \nL 257.795118 151.863367 \nL 259.383536 151.893812 \nL 261.243945 151.495754 \nL 263.32657 150.65038 \nL 265.569519 149.352945 \nL 267.897598 147.617511 \nL 270.221891 145.481913 \nL 272.440761 143.012127 \nL 274.442779 140.304771 \nL 276.112153 137.48635 \nL 277.336754 134.707939 \nL 277.750697 133.385181 \nL 278.018268 132.134659 \nL 278.131195 130.97673 \nL 278.083433 129.930559 \nL 277.871455 129.013582 \nL 277.494462 128.240984 \nL 276.954508 127.625251 \nL 276.256556 127.175836 \nL 275.408416 126.898923 \nL 274.420601 126.797356 \nL 273.306069 126.870671 \nL 272.079924 127.115289 \nL 270.759025 127.524788 \nL 269.361525 128.09026 \nL 266.413265 129.643729 \nL 263.389576 131.671654 \nL 260.438199 134.05831 \nL 257.689943 136.687666 \nL 255.2524 139.450953 \nL 253.207653 142.250465 \nL 251.613161 145.000273 \nL 250.504794 147.624971 \nL 249.900868 150.057409 \nL 249.790013 151.182188 \nL 249.806249 152.236178 \nL 249.94866 153.212211 \nL 250.215882 154.103213 \nL 250.606145 154.902162 \nL 251.117311 155.602044 \nL 251.746878 156.195855 \nL 252.491968 156.676605 \nL 253.349304 157.037332 \nL 254.315157 157.271143 \nL 255.38527 157.371289 \nL 256.554776 157.331253 \nL 257.818098 157.14486 \nL 259.168832 156.806459 \nL 260.599625 156.311107 \nL 262.10203 155.654789 \nL 263.666392 154.834687 \nL 265.281694 153.849491 \nL 266.935467 152.699715 \nL 268.613667 151.388064 \nL 270.300627 149.919805 \nL 271.979033 148.303109 \nL 273.629947 146.549391 \nL 275.232909 144.673587 \nL 276.766114 142.694339 \nL 278.206684 140.634069 \nL 279.531051 138.518887 \nL 280.715394 136.378339 \nL 281.736228 134.244942 \nL 282.571056 132.153474 \nL 283.199068 130.140091 \nL 283.601918 128.241275 \nL 283.764469 126.492576 \nL 283.675515 124.927374 \nL 283.328379 123.575576 \nL 282.72142 122.462496 \nL 281.858309 121.607847 \nL 280.748148 121.02511 \nL 279.405298 120.721118 \nL 277.849034 120.696095 \nL 276.102946 120.94395 \nL 274.194208 121.452961 \nL 272.152662 122.206607 \nL 270.009882 123.18461 \nL 267.798174 124.364043 \nL 265.549675 125.720363 \nL 263.29549 127.228409 \nL 261.064979 128.863235 \nL 256.780447 132.418363 \nL 252.878342 136.211524 \nL 249.492525 140.097209 \nL 248.022158 142.037259 \nL 246.710317 143.958718 \nL 245.561818 145.850742 \nL 244.5796 147.703613 \nL 243.765042 149.508517 \nL 243.118262 151.257345 \nL 242.638401 152.942509 \nL 242.323867 154.556781 \nL 242.172564 156.09314 \nL 242.182068 157.544621 \nL 242.349785 158.904213 \nL 242.673063 160.164746 \nL 243.149267 161.318796 \nL 243.775826 162.358604 \nL 244.55026 163.276017 \nL 245.470138 164.062437 \nL 246.533043 164.708778 \nL 247.736496 165.205466 \nL 249.077829 165.542428 \nL 250.554065 165.709175 \nL 252.161729 165.694857 \nL 253.89666 165.48839 \nL 255.753773 165.078669 \nL 257.726806 164.454791 \nL 259.808036 163.606411 \nL 261.987963 162.524161 \nL 264.255013 161.200161 \nL 266.595189 159.628656 \nL 268.991747 157.806719 \nL 271.424937 155.735067 \nL 273.871736 153.41896 \nL 276.305686 150.869093 \nL 278.696832 148.102492 \nL 281.011841 145.143324 \nL 283.214236 142.023506 \nL 285.264921 138.783023 \nL 287.122916 135.469858 \nL 288.746346 132.139438 \nL 290.093734 128.853447 \nL 291.125494 125.678049 \nL 291.805601 122.681525 \nL 292.103386 119.931392 \nL 291.995257 117.491203 \nL 291.466281 115.417342 \nL 290.511464 113.755986 \nL 289.136545 112.540721 \nL 287.358289 111.790886 \nL 285.204112 111.511001 \nL 282.711148 111.691185 \nL 279.924732 112.308623 \nL 276.896489 113.329779 \nL 273.682111 114.713152 \nL 270.339083 116.412173 \nL 266.924488 118.378103 \nL 263.493022 120.562481 \nL 260.095374 122.919147 \nL 256.777002 125.405675 \nL 253.577343 127.984274 \nL 250.52942 130.62216 \nL 247.659794 133.291544 \nL 244.988829 135.969346 \nL 242.531158 138.636718 \nL 240.296299 141.278432 \nL 238.289365 143.882328 \nL 236.511789 146.438695 \nL 234.962063 148.939756 \nL 233.636404 151.379174 \nL 232.529402 153.751683 \nL 231.63456 156.052744 \nL 230.944782 158.278271 \nL 230.452768 160.424403 \nL 230.151352 162.487319 \nL 230.033765 164.463072 \nL 230.093832 166.347475 \nL 230.326122 168.135954 \nL 230.726049 169.823447 \nL 231.28993 171.404303 \nL 232.015009 172.872159 \nL 232.899449 174.219821 \nL 233.94229 175.439179 \nL 235.143386 176.52107 \nL 236.503316 177.455166 \nL 238.023261 178.229871 \nL 239.704857 178.832193 \nL 241.550015 179.24767 \nL 243.560697 179.460293 \nL 245.738659 179.452474 \nL 248.085137 179.205073 \nL 250.600481 178.697484 \nL 253.283721 177.907843 \nL 256.132066 176.813381 \nL 259.140332 175.390922 \nL 262.300278 173.61761 \nL 265.599893 171.471907 \nL 269.0226 168.934894 \nL 272.546419 165.991886 \nL 276.14315 162.634429 \nL 279.777562 158.862592 \nL 283.406735 154.687534 \nL 286.979608 150.134193 \nL 290.436833 145.243898 \nL 293.711138 140.076561 \nL 296.728243 134.712093 \nL 299.408544 129.250596 \nL 301.669572 123.81086 \nL 303.42933 118.526806 \nL 304.610366 113.541769 \nL 305.144405 109.000657 \nL 304.977186 105.04062 \nL 304.07305 101.781143 \nL 302.418753 99.314714 \nL 300.025942 97.699551 \nL 296.931895 96.955419 \nL 293.198296 97.063341 \nL 288.908068 97.969125 \nL 284.160599 99.590214 \nL 279.065887 101.824647 \nL 273.738244 104.560633 \nL 268.290253 107.685538 \nL 262.827566 111.093239 \nL 257.44482 114.689293 \nL 252.22296 118.393784 \nL 247.227862 122.142275 \nL 242.510116 125.885183 \nL 238.105742 129.586137 \nL 234.03754 133.219916 \nL 230.316827 136.770162 \nL 226.945356 140.227285 \nL 223.917222 143.5866 \nL 221.220671 146.846823 \nL 218.839725 150.008878 \nL 216.755583 153.075018 \nL 214.947805 156.048205 \nL 213.395264 158.931694 \nL 212.076908 161.728749 \nL 210.972332 164.442468 \nL 210.062203 167.075729 \nL 209.328556 169.631111 \nL 208.754982 172.110917 \nL 208.326743 174.517167 \nL 208.030816 176.851601 \nL 207.792326 181.310723 \nL 207.968788 185.497265 \nL 208.514197 189.416302 \nL 209.404815 193.068561 \nL 210.636848 196.449535 \nL 211.384693 198.035079 \nL 212.224585 199.547913 \nL 213.160927 200.985183 \nL 214.19913 202.343263 \nL 215.345595 203.617622 \nL 216.607719 204.802687 \nL 217.993888 205.891634 \nL 219.51348 206.876196 \nL 221.176865 207.746401 \nL 222.995386 208.490293 \nL 224.981345 209.093597 \nL 227.14795 209.539346 \nL 229.509237 209.807472 \nL 232.079953 209.874335 \nL 234.875371 209.712238 \nL 237.91103 209.288913 \nL 241.202373 208.567013 \nL 244.764245 207.503667 \nL 248.610228 206.05013 \nL 252.751772 204.151657 \nL 257.197051 201.747701 \nL 261.949538 198.77263 \nL 267.006204 195.157148 \nL 272.355364 190.830758 \nL 277.974049 185.725509 \nL 283.825088 179.78143 \nL 289.853785 172.953876 \nL 295.984537 165.222996 \nL 302.117622 156.605105 \nL 308.126635 147.165468 \nL 313.857197 137.031095 \nL 319.127842 126.401465 \nL 323.733873 115.554176 \nL 327.455179 104.841887 \nL 330.068376 94.67731 \nL 331.363327 85.504154 \nL 331.162853 77.754931 \nL 329.343434 71.800626 \nL 325.853662 67.900999 \nL 320.726637 66.166816 \nL 314.083271 66.544054 \nL 306.1247 68.825161 \nL 297.114579 72.685051 \nL 287.354274 77.732596 \nL 277.155408 83.564935 \nL 266.814511 89.812997 \nL 246.706497 102.410553 \nL 220.430051 119.176325 \nL 206.325142 128.361315 \nL 194.908744 136.098712 \nL 185.827425 142.657104 \nL 178.628275 148.277786 \nL 172.853675 153.135907 \nL 162.075338 162.536801 \nL 158.419581 165.271193 \nL 156.615099 166.41149 \nL 154.796806 167.393346 \nL 152.946071 168.209689 \nL 151.046795 168.852176 \nL 149.085247 169.311293 \nL 147.049992 169.576422 \nL 144.931842 169.635975 \nL 142.723871 169.477527 \nL 140.421494 169.088042 \nL 138.022601 168.454153 \nL 135.527747 167.562543 \nL 132.9404 166.400425 \nL 130.267242 164.95618 \nL 127.518499 163.220121 \nL 124.708286 161.185414 \nL 121.854994 158.849156 \nL 118.981601 156.213573 \nL 116.115917 153.28735 \nL 113.290779 150.086955 \nL 110.543998 146.63795 \nL 107.918126 142.976065 \nL 105.459938 139.147972 \nL 103.219567 135.211504 \nL 101.24923 131.235187 \nL 99.601608 127.296912 \nL 98.327831 123.481648 \nL 97.475121 119.878194 \nL 97.084322 116.575075 \nL 97.187334 113.655942 \nL 97.804824 111.194686 \nL 98.944294 109.25103 \nL 100.598858 107.866852 \nL 102.7468 107.063886 \nL 105.35209 106.843041 \nL 108.365796 107.185305 \nL 111.728311 108.054281 \nL 115.372211 109.399853 \nL 119.225443 111.162503 \nL 123.214593 113.277728 \nL 127.267936 115.680202 \nL 131.318047 118.307109 \nL 135.303871 121.100738 \nL 139.172134 124.010038 \nL 142.878143 126.99137 \nL 146.386007 130.008576 \nL 149.668398 133.032512 \nL 152.705954 136.040315 \nL 155.486439 139.014461 \nL 158.00376 141.941806 \nL 160.256927 144.812698 \nL 162.249046 147.620149 \nL 163.986345 150.359157 \nL 165.477304 153.026109 \nL 166.731879 155.618367 \nL 167.760852 158.133893 \nL 168.575279 160.570956 \nL 169.186044 162.927964 \nL 169.603505 165.203282 \nL 169.837235 167.395093 \nL 169.895811 169.501309 \nL 169.786681 171.519462 \nL 169.516077 173.446649 \nL 169.08896 175.279412 \nL 168.509008 177.013655 \nL 167.778624 178.64455 \nL 166.898966 180.166427 \nL 165.869999 181.572666 \nL 164.690557 182.855534 \nL 163.358428 184.006064 \nL 161.870453 185.013886 \nL 160.222641 185.867079 \nL 158.410305 186.551966 \nL 156.428237 187.052952 \nL 154.270917 187.352354 \nL 151.932748 187.430242 \nL 149.408373 187.264334 \nL 146.693026 186.829923 \nL 143.783005 186.09993 \nL 140.676189 185.045059 \nL 137.3727 183.634152 \nL 133.875659 181.834789 \nL 130.192086 179.614186 \nL 126.333912 176.940529 \nL 122.319147 173.78476 \nL 118.173087 170.122934 \nL 113.929618 165.939167 \nL 109.632487 161.229192 \nL 105.336413 156.004426 \nL 101.107914 150.296324 \nL 97.02565 144.160688 \nL 93.180043 137.681367 \nL 89.671917 130.97261 \nL 86.60994 124.179303 \nL 84.106688 117.47411 \nL 82.273319 111.050933 \nL 81.21298 105.114527 \nL 81.013387 99.866536 \nL 81.739241 95.489319 \nL 83.425387 92.129695 \nL 86.071665 89.884968 \nL 89.640425 88.793931 \nL 94.057227 88.834438 \nL 99.214944 89.928198 \nL 104.980754 91.951858 \nL 111.20522 94.752141 \nL 117.732207 98.162394 \nL 124.408425 102.017763 \nL 131.091592 106.167129 \nL 137.656488 110.48087 \nL 143.998743 114.854439 \nL 150.036392 119.208533 \nL 155.70962 123.486829 \nL 160.979128 127.652389 \nL 165.823661 131.683617 \nL 170.237098 135.570296 \nL 174.225475 139.31018 \nL 177.80413 142.90621 \nL 180.995159 146.364386 \nL 183.825213 149.692272 \nL 186.323687 152.897934 \nL 188.521265 155.989311 \nL 190.448795 158.97382 \nL 192.13645 161.858191 \nL 193.613134 164.648395 \nL 196.04063 169.966549 \nL 197.925711 174.962497 \nL 199.430727 179.662127 \nL 201.258172 186.198115 \nL 203.401808 194.025938 \nL 204.515996 197.580244 \nL 205.739986 200.900795 \nL 207.129868 203.986927 \nL 208.742191 206.832418 \nL 210.637253 209.423571 \nL 211.711419 210.616775 \nL 212.882085 211.736398 \nL 214.159137 212.777183 \nL 215.553208 213.732632 \nL 217.075755 214.594796 \nL 218.739123 215.354004 \nL 220.556589 215.998547 \nL 222.542405 216.514323 \nL 224.711805 216.884406 \nL 227.080982 217.088586 \nL 229.667033 217.102802 \nL 232.487821 216.898558 \nL 235.561785 216.442275 \nL 238.907618 215.694606 \nL 242.543824 214.609778 \nL 246.488087 213.134985 \nL 250.756414 211.209964 \nL 255.362001 208.766842 \nL 260.313727 205.730479 \nL 265.614263 202.019557 \nL 271.257664 197.548742 \nL 277.226473 192.232329 \nL 283.488216 185.989825 \nL 289.991452 178.753988 \nL 296.661466 170.481623 \nL 303.395885 161.16725 \nL 310.06079 150.859253 \nL 316.488057 139.677159 \nL 322.474922 127.827649 \nL 327.787079 115.615442 \nL 332.166504 103.444247 \nL 335.345057 91.802487 \nL 337.064086 81.230012 \nL 337.099045 72.265541 \nL 335.286469 65.380344 \nL 331.548976 60.909952 \nL 325.913208 59.000089 \nL 318.515781 59.58233 \nL 309.594652 62.387871 \nL 299.466494 66.996843 \nL 288.494224 72.909459 \nL 277.051149 79.620125 \nL 254.110215 93.720845 \nL 232.817375 106.831394 \nL 214.365148 117.940378 \nL 181.721491 137.348403 \nL 173.120902 142.678325 \nL 160.790004 150.673563 \nL 156.177814 153.612161 \nL 152.138732 155.925065 \nL 150.251826 156.851179 \nL 148.417825 157.622535 \nL 146.614841 158.236608 \nL 144.824473 158.689885 \nL 143.031585 158.978076 \nL 141.224115 159.09636 \nL 139.392916 159.039633 \nL 137.531655 158.802714 \nL 135.63672 158.380669 \nL 133.707189 157.769089 \nL 131.744808 156.964453 \nL 129.754004 155.964519 \nL 127.741904 154.768754 \nL 125.718354 153.378829 \nL 123.695944 151.799087 \nL 121.689965 150.037087 \nL 119.718366 148.104085 \nL 117.801622 146.015477 \nL 115.962512 143.791191 \nL 114.225799 141.455884 \nL 112.617811 139.039014 \nL 111.165859 136.574658 \nL 109.897556 134.101052 \nL 108.839977 131.659844 \nL 108.018736 129.295017 \nL 107.456999 127.051574 \nL 107.174443 124.973962 \nL 107.186273 123.104349 \nL 107.502321 121.480905 \nL 108.126318 120.136155 \nL 109.055422 119.095627 \nL 110.279993 118.37681 \nL 111.783675 117.98861 \nL 113.543859 117.931301 \nL 115.532375 118.196969 \nL 117.716476 118.770397 \nL 120.060012 119.630287 \nL 122.524686 120.750681 \nL 125.071335 122.102479 \nL 127.661161 123.654929 \nL 130.256848 125.376901 \nL 132.823455 127.238009 \nL 135.329143 129.209447 \nL 137.745671 131.26457 \nL 140.048664 133.379229 \nL 142.217704 135.531912 \nL 144.236248 137.703693 \nL 146.091415 139.878102 \nL 147.773687 142.040865 \nL 149.276514 144.17964 \nL 150.595928 146.283731 \nL 151.730107 148.343779 \nL 152.678971 150.351493 \nL 153.443787 152.299388 \nL 154.02682 154.180553 \nL 154.431016 155.988463 \nL 154.659732 157.716798 \nL 154.716503 159.359254 \nL 154.604865 160.909435 \nL 154.328216 162.360728 \nL 153.889704 163.706172 \nL 153.29218 164.938376 \nL 152.538161 166.049409 \nL 151.629847 167.030752 \nL 150.569158 167.873197 \nL 149.357809 168.566819 \nL 147.997419 169.100931 \nL 146.489646 169.464064 \nL 144.83636 169.644026 \nL 143.039846 169.627908 \nL 141.103053 169.402267 \nL 139.029875 168.953247 \nL 136.825462 168.266887 \nL 134.496581 167.329451 \nL 132.052006 166.12794 \nL 129.502932 164.650673 \nL 126.86342 162.888057 \nL 124.150837 160.83349 \nL 121.386272 158.484403 \nL 118.594953 155.84346 \nL 115.806515 152.919823 \nL 113.055194 149.730432 \nL 110.379842 146.301245 \nL 107.823675 142.668254 \nL 105.433769 138.878167 \nL 103.260205 134.98856 \nL 101.35482 131.067327 \nL 99.769603 127.191294 \nL 98.554719 123.443915 \nL 97.756226 119.912038 \nL 97.413667 116.6819 \nL 97.557606 113.834585 \nL 98.207431 111.441394 \nL 99.369558 109.559552 \nL 101.036294 108.228795 \nL 103.185468 107.469214 \nL 105.781011 107.280638 \nL 108.774371 107.643712 \nL 112.106748 108.52233 \nL 115.71185 109.867235 \nL 119.519039 111.620173 \nL 123.456466 113.718219 \nL 127.45401 116.097656 \nL 131.445829 118.697287 \nL 135.37232 121.460865 \nL 139.181482 124.338566 \nL 142.829678 127.287757 \nL 146.281842 130.273019 \nL 149.511248 133.265724 \nL 152.498914 136.243322 \nL 155.232793 139.188436 \nL 157.706826 142.087975 \nL 159.919933 144.932216 \nL 161.875019 147.714052 \nL 163.578036 150.428319 \nL 165.037144 153.071232 \nL 166.261948 155.639948 \nL 167.262861 158.132223 \nL 168.050565 160.546129 \nL 168.635582 162.879861 \nL 169.027923 165.13156 \nL 169.236826 167.299204 \nL 169.27056 169.380481 \nL 169.136292 171.372703 \nL 168.839992 173.272709 \nL 168.386391 175.076774 \nL 167.778965 176.780521 \nL 167.01994 178.378831 \nL 166.110334 179.865698 \nL 165.049999 181.234136 \nL 163.837696 182.476026 \nL 162.471178 183.581998 \nL 160.947302 184.541237 \nL 159.262141 185.341334 \nL 157.411143 185.968132 \nL 155.389315 186.405524 \nL 153.19143 186.635335 \nL 150.812304 186.637151 \nL 148.247116 186.388259 \nL 145.4918 185.863628 \nL 142.543514 185.035989 \nL 139.401211 183.876073 \nL 136.066322 182.353032 \nL 132.543537 180.435161 \nL 128.841725 178.09093 \nL 124.974975 175.290408 \nL 120.963745 172.007243 \nL 116.836061 168.221121 \nL 112.628782 163.920868 \nL 108.388757 159.108042 \nL 104.173806 153.800985 \nL 100.053353 148.039017 \nL 96.108513 141.886398 \nL 92.431365 135.435466 \nL 89.123234 128.808212 \nL 86.291756 122.155472 \nL 84.046564 115.652968 \nL 82.493698 109.493713 \nL 81.728955 103.876773 \nL 81.830576 98.993021 \nL 82.852162 95.009417 \nL 84.816516 92.053905 \nL 87.711509 90.203441 \nL 91.488674 89.477276 \nL 96.064925 89.836839 \nL 101.327449 91.192346 \nL 107.141188 93.414738 \nL 113.357883 96.350844 \nL 119.825636 99.838943 \nL 126.397731 103.722521 \nL 132.939959 107.8606 \nL 139.335833 112.133971 \nL 145.489607 116.44773 \nL 151.327264 120.730744 \nL 156.795893 124.933104 \nL 161.861862 129.022549 \nL 166.508314 132.980607 \nL 170.73233 136.798945 \nL 174.542066 140.476254 \nL 177.954083 144.015753 \nL 180.990957 147.4233 \nL 183.679247 150.706054 \nL 186.047823 153.871552 \nL 188.126531 156.927175 \nL 189.945168 159.879809 \nL 191.53273 162.735688 \nL 192.916868 165.500363 \nL 195.17681 170.775047 \nL 196.909401 175.736097 \nL 198.267582 180.408416 \nL 199.866655 186.917335 \nL 202.54266 198.307274 \nL 203.507572 201.657057 \nL 204.591799 204.79256 \nL 205.842026 207.71433 \nL 207.30726 210.418196 \nL 209.041547 212.893596 \nL 210.02849 214.039977 \nL 211.106554 215.121084 \nL 212.28505 216.13252 \nL 213.574076 217.068804 \nL 214.984588 217.923178 \nL 216.528477 218.687354 \nL 218.218624 219.351233 \nL 220.06896 219.902571 \nL 222.094502 220.326568 \nL 224.311367 220.605425 \nL 226.736754 220.717809 \nL 229.388886 220.638246 \nL 232.286879 220.336468 \nL 235.450531 219.776669 \nL 238.899996 218.916745 \nL 242.65531 217.707527 \nL 246.735711 216.092081 \nL 251.158724 214.00519 \nL 255.938917 211.373136 \nL 261.08626 208.114027 \nL 266.604031 204.138965 \nL 272.486166 199.354429 \nL 278.713992 193.666362 \nL 285.252353 186.986496 \nL 292.04514 179.241504 \nL 299.01043 170.385383 \nL 306.035578 160.415179 \nL 312.972844 149.38953 \nL 319.636518 137.448421 \nL 325.802676 124.831117 \nL 331.213108 111.887675 \nL 335.584794 99.07806 \nL 338.626205 86.952767 \nL 340.060381 76.110822 \nL 339.653426 67.135766 \nL 337.244991 60.517676 \nL 332.775455 56.576583 \nL 326.303498 55.407152 \nL 318.008983 56.861777 \nL 308.178693 60.579147 \nL 297.176901 66.051169 \nL 285.406594 72.708996 \nL 273.269255 80.005156 \nL 238.006029 101.633228 \nL 217.641905 113.668446 \nL 200.643474 123.31723 \nL 155.425874 148.337151 \nL 150.909751 150.668467 \nL 146.991111 152.389463 \nL 145.179098 153.02867 \nL 143.432972 153.521409 \nL 141.733335 153.867227 \nL 140.064333 154.065027 \nL 138.413412 154.113344 \nL 136.771078 154.010603 \nL 135.130732 153.755374 \nL 133.488501 153.346629 \nL 131.843092 152.784017 \nL 130.195705 152.068146 \nL 128.549901 151.200866 \nL 126.911524 150.185568 \nL 125.288589 149.027493 \nL 123.691192 147.733989 \nL 122.131339 146.314818 \nL 120.622806 144.782331 \nL 119.18089 143.151667 \nL 117.822173 141.440794 \nL 116.564172 139.670505 \nL 115.424952 137.864265 \nL 114.422677 136.047903 \nL 113.575092 134.249173 \nL 112.898953 132.497168 \nL 112.40946 130.82157 \nL 112.11965 129.251821 \nL 112.039827 127.816216 \nL 112.177045 126.540953 \nL 112.534665 125.449222 \nL 113.112064 124.56043 \nL 113.904422 123.889545 \nL 114.902743 123.446656 \nL 116.093975 123.236747 \nL 117.461344 123.259732 \nL 118.984809 123.510739 \nL 120.641631 123.98057 \nL 122.407068 124.656311 \nL 124.255066 125.522084 \nL 126.158999 126.559811 \nL 130.029391 129.072433 \nL 133.818405 132.033272 \nL 137.353122 135.28732 \nL 140.496311 138.696194 \nL 143.148603 142.142252 \nL 145.245624 145.527747 \nL 146.073932 147.171856 \nL 146.752063 148.771364 \nL 147.278974 150.317922 \nL 147.654553 151.803625 \nL 147.879425 153.220895 \nL 147.95479 154.562356 \nL 147.882261 155.820714 \nL 147.663771 156.988689 \nL 147.301467 158.058907 \nL 146.797669 159.02385 \nL 146.154827 159.875792 \nL 145.375528 160.606762 \nL 144.462515 161.208528 \nL 143.418755 161.672587 \nL 142.247508 161.990221 \nL 140.952435 162.152515 \nL 139.537734 162.150459 \nL 138.008296 161.97508 \nL 136.369885 161.617624 \nL 134.629336 161.069776 \nL 132.794769 160.32394 \nL 130.875828 159.373616 \nL 128.883906 158.213802 \nL 126.832393 156.841502 \nL 124.736858 155.256261 \nL 122.61529 153.460777 \nL 120.488188 151.46155 \nL 118.378671 149.269499 \nL 116.312446 146.90057 \nL 114.31768 144.376241 \nL 112.424719 141.723873 \nL 110.665668 138.976849 \nL 109.073768 136.174391 \nL 107.682625 133.361074 \nL 106.525226 130.585892 \nL 105.632822 127.900956 \nL 105.033701 125.359756 \nL 104.75192 123.015156 \nL 104.80603 120.917171 \nL 105.207991 119.110708 \nL 105.962227 117.633475 \nL 107.065052 116.514203 \nL 108.504421 115.771407 \nL 110.260111 115.41282 \nL 112.304341 115.435446 \nL 114.602738 115.826318 \nL 117.115668 116.563856 \nL 119.79974 117.619524 \nL 122.609444 118.959873 \nL 125.498796 120.548462 \nL 128.42281 122.347748 \nL 131.338841 124.320676 \nL 134.207634 126.431944 \nL 136.994077 128.64889 \nL 139.667702 130.942063 \nL 142.20289 133.285464 \nL 144.578848 135.656525 \nL 146.779407 138.035954 \nL 148.792647 140.407401 \nL 150.610469 142.757121 \nL 152.228066 145.073554 \nL 153.643395 147.346927 \nL 154.856656 149.568901 \nL 155.869781 151.732237 \nL 156.685985 153.830497 \nL 157.309347 155.857787 \nL 157.744461 157.808534 \nL 157.99613 159.677291 \nL 158.069115 161.458601 \nL 157.96795 163.146814 \nL 157.696783 164.735986 \nL 157.259286 166.219753 \nL 156.658576 167.591214 \nL 155.897208 168.842833 \nL 154.977167 169.966344 \nL 153.899923 170.952671 \nL 152.666495 171.791827 \nL 151.277564 172.472852 \nL 149.7336 172.983772 \nL 148.03505 173.311546 \nL 146.182529 173.442085 \nL 144.177074 173.3603 \nL 142.020438 173.050202 \nL 139.715415 172.495118 \nL 137.266236 171.677936 \nL 134.678999 170.581555 \nL 131.962139 169.189412 \nL 129.126973 167.486247 \nL 126.18824 165.459008 \nL 123.164695 163.097991 \nL 120.079666 160.398206 \nL 116.961579 157.360901 \nL 113.844404 153.995265 \nL 110.767935 150.320183 \nL 107.777844 146.365919 \nL 104.92545 142.17554 \nL 102.267106 137.80592 \nL 99.863104 133.327992 \nL 97.776092 128.825999 \nL 96.068939 124.395601 \nL 94.802112 120.140642 \nL 94.03067 116.168582 \nL 93.801038 112.584911 \nL 94.147778 109.486879 \nL 95.090765 106.957198 \nL 96.632987 105.05845 \nL 98.759307 103.829021 \nL 101.436369 103.280899 \nL 104.613812 103.399988 \nL 108.226601 104.148471 \nL 112.198356 105.469259 \nL 116.44533 107.291462 \nL 120.880592 109.536464 \nL 125.418098 112.123541 \nL 129.976261 114.974761 \nL 134.480809 118.018583 \nL 138.866807 121.19214 \nL 143.079826 124.442368 \nL 147.076351 127.726056 \nL 150.823523 131.009238 \nL 154.298413 134.266095 \nL 157.486968 137.477684 \nL 160.382748 140.630601 \nL 162.985628 143.715752 \nL 165.300497 146.727263 \nL 167.336043 149.66157 \nL 169.103674 152.516739 \nL 170.616558 155.291861 \nL 171.888831 157.986671 \nL 172.934929 160.601229 \nL 173.769069 163.135707 \nL 174.404826 165.590232 \nL 174.854836 167.96477 \nL 175.130561 170.259066 \nL 175.242148 172.472561 \nL 175.198324 174.604348 \nL 175.006352 176.653099 \nL 174.67201 178.617052 \nL 174.1996 180.493884 \nL 173.591983 182.280701 \nL 172.850609 183.973907 \nL 171.975579 185.569125 \nL 170.965693 187.061079 \nL 169.818519 188.443459 \nL 168.530456 189.70878 \nL 167.096814 190.84819 \nL 165.511894 191.851297 \nL 163.76909 192.705941 \nL 161.860999 193.397984 \nL 159.779571 193.911041 \nL 157.516285 194.226247 \nL 155.062354 194.321987 \nL 152.409024 194.173669 \nL 149.547917 193.753534 \nL 146.471475 193.030529 \nL 143.17351 191.970305 \nL 139.649889 190.535403 \nL 135.899372 188.68568 \nL 131.924626 186.379087 \nL 127.733404 183.572929 \nL 123.339951 180.225706 \nL 118.766567 176.299686 \nL 114.045335 171.764328 \nL 109.219897 166.600606 \nL 104.34723 160.806274 \nL 99.499151 154.401861 \nL 94.763374 147.437019 \nL 90.243789 139.996643 \nL 86.059554 132.205688 \nL 82.342665 124.2315 \nL 79.233595 116.282276 \nL 76.874892 108.600227 \nL 75.402723 101.448796 \nL 74.936852 95.093993 \nL 75.569882 89.781397 \nL 77.357102 85.711845 \nL 80.308395 83.019741 \nL 84.383809 81.758369 \nL 89.493742 81.895305 \nL 95.504222 83.319271 \nL 102.246647 85.856883 \nL 109.530645 89.295876 \nL 117.158123 93.409908 \nL 124.936641 97.980754 \nL 132.690456 102.814785 \nL 140.268336 107.752541 \nL 147.54791 112.671851 \nL 154.43687 117.486116 \nL 160.871698 122.139441 \nL 166.814721 126.600404 \nL 172.250236 130.855765 \nL 177.180324 134.904789 \nL 181.620781 138.754651 \nL 185.597423 142.416947 \nL 189.142924 145.905183 \nL 192.294193 149.233163 \nL 195.090303 152.413947 \nL 197.570893 155.459319 \nL 199.775002 158.379556 \nL 203.502237 163.877946 \nL 206.547445 168.961665 \nL 214.935051 183.831687 \nL 217.353031 187.251762 \nL 218.645521 188.812793 \nL 220.011736 190.268244 \nL 221.464678 191.612006 \nL 223.01709 192.836648 \nL 224.681574 193.933234 \nL 226.470681 194.891124 \nL 228.396972 195.697734 \nL 230.473034 196.338298 \nL 232.711462 196.795579 \nL 235.124782 197.049592 \nL 237.725305 197.077313 \nL 240.524927 196.852405 \nL 243.534813 196.344987 \nL 246.764983 195.521472 \nL 250.223766 194.344548 \nL 253.9171 192.773339 \nL 257.847643 190.763857 \nL 262.013692 188.269852 \nL 266.407867 185.244211 \nL 271.015594 181.64098 \nL 275.813357 177.418315 \nL 280.766745 172.542356 \nL 285.828452 166.992206 \nL 290.936294 160.765964 \nL 296.011481 153.88766 \nL 300.957441 146.414587 \nL 305.659589 138.444245 \nL 309.986418 130.119735 \nL 313.792466 121.632066 \nL 316.923501 113.217661 \nL 319.224103 105.149519 \nL 320.547595 97.721252 \nL 320.767678 91.22434 \nL 319.790667 85.920924 \nL 317.566734 82.015816 \nL 314.098325 79.632953 \nL 309.444023 78.801213 \nL 303.71676 79.453009 \nL 297.076222 81.436179 \nL 289.716445 84.53666 \nL 281.85044 88.506904 \nL 273.694169 93.094278 \nL 265.452137 98.064629 \nL 257.306191 103.218126 \nL 249.408246 108.396938 \nL 241.877018 113.485881 \nL 234.798075 118.408214 \nL 228.226339 123.118856 \nL 222.190071 127.596767 \nL 216.695554 131.837853 \nL 211.731813 135.848955 \nL 207.27502 139.643212 \nL 203.292335 143.236715 \nL 199.745113 146.646206 \nL 196.591466 149.887699 \nL 193.788245 152.975677 \nL 191.292519 155.922727 \nL 187.058834 161.434511 \nL 183.583081 166.485713 \nL 175.241579 179.148406 \nL 172.523054 182.538696 \nL 171.091075 184.065377 \nL 169.58989 185.472327 \nL 168.004993 186.752377 \nL 166.322525 187.896904 \nL 164.529154 188.895649 \nL 162.611985 189.736556 \nL 160.558525 190.405575 \nL 158.356689 190.886432 \nL 155.994857 191.160437 \nL 153.462007 191.206288 \nL 150.747911 190.999886 \nL 147.843422 190.514237 \nL 144.740871 189.719429 \nL 141.434573 188.582751 \nL 137.921474 187.069009 \nL 134.201947 185.141111 \nL 130.280752 182.761014 \nL 126.168168 179.891159 \nL 121.88127 176.496432 \nL 117.445378 172.546852 \nL 112.895585 168.021001 \nL 108.278271 162.910194 \nL 103.652525 157.223382 \nL 99.091237 150.992516 \nL 94.681658 144.27791 \nL 90.525106 137.173032 \nL 86.735518 129.807676 \nL 83.436518 122.348493 \nL 80.756825 114.995777 \nL 78.823826 107.975425 \nL 77.755634 101.525974 \nL 77.652013 95.881082 \nL 78.58517 91.249227 \nL 80.591468 87.793482 \nL 83.665428 85.61468 \nL 87.757104 84.741371 \nL 92.77362 85.128509 \nL 98.584857 86.665587 \nL 105.03269 89.192219 \nL 111.942478 92.518272 \nL 119.135196 96.44455 \nL 126.438658 100.780763 \nL 133.69667 105.358648 \nL 140.775335 110.039403 \nL 147.566507 114.716013 \nL 153.9886 119.311582 \nL 159.985387 123.77538 \nL 165.523412 128.077654 \nL 170.588628 132.204403 \nL 175.182778 136.15269 \nL 179.319854 139.926762 \nL 183.022867 143.535055 \nL 186.321063 146.988058 \nL 189.247592 150.296864 \nL 191.837647 153.472244 \nL 194.127025 156.524125 \nL 196.151047 159.461335 \nL 197.943791 162.291549 \nL 200.96267 167.656069 \nL 203.416595 172.658028 \nL 206.460983 179.537548 \nL 209.203244 185.709726 \nL 211.069007 189.437057 \nL 213.084366 192.846158 \nL 215.34141 195.91869 \nL 216.588314 197.319572 \nL 217.928936 198.623349 \nL 219.374587 199.823404 \nL 220.936868 200.911696 \nL 222.62775 201.878557 \nL 224.459636 202.712417 \nL 226.445378 203.399531 \nL 228.598285 203.923644 \nL 230.932074 204.265633 \nL 233.460768 204.403135 \nL 236.198551 204.310123 \nL 239.159512 203.956516 \nL 242.357305 203.307799 \nL 245.80468 202.324705 \nL 249.512855 200.963041 \nL 253.490704 199.17371 \nL 257.743707 196.903077 \nL 262.272656 194.093781 \nL 267.072038 190.686234 \nL 272.12815 186.620991 \nL 277.416828 181.842231 \nL 282.900948 176.302623 \nL 288.527715 169.969727 \nL 294.225904 162.833985 \nL 299.903398 154.918134 \nL 305.445315 146.287465 \nL 310.713359 137.05975 \nL 315.546955 127.413218 \nL 319.766946 117.590167 \nL 323.182385 107.893622 \nL 325.600818 98.674599 \nL 326.841848 90.308657 \nL 326.753198 83.162621 \nL 325.22736 77.55517 \nL 322.216543 73.717648 \nL 317.74294 71.76351 \nL 311.902059 71.673641 \nL 304.857607 73.301941 \nL 296.828366 76.400007 \nL 288.069029 80.655205 \nL 278.848237 85.733015 \nL 269.427473 91.314843 \nL 260.043659 97.125326 \nL 242.146239 108.622391 \nL 226.248062 119.174021 \nL 212.812588 128.443049 \nL 207.031871 132.60449 \nL 201.842924 136.478605 \nL 197.20566 140.091257 \nL 193.072902 143.468154 \nL 189.39369 146.633 \nL 183.187447 152.406368 \nL 178.18247 157.538524 \nL 166.983621 169.68693 \nL 163.648781 172.686083 \nL 161.944099 173.974038 \nL 160.189222 175.111748 \nL 158.36747 176.09053 \nL 156.463849 176.900201 \nL 154.464944 177.529029 \nL 152.35886 177.963706 \nL 150.135227 178.189304 \nL 147.78527 178.189295 \nL 145.301931 177.945602 \nL 142.680089 177.43874 \nL 139.916844 176.648055 \nL 137.01189 175.552111 \nL 133.967974 174.129216 \nL 130.791443 172.358199 \nL 127.492854 170.219389 \nL 124.087679 167.695951 \nL 120.597024 164.775482 \nL 117.048359 161.451956 \nL 113.476185 157.727914 \nL 109.922616 153.616948 \nL 106.437678 149.146188 \nL 103.079345 144.358693 \nL 99.913063 139.31537 \nL 97.010725 134.096102 \nL 94.448939 128.799674 \nL 92.306555 123.542014 \nL 90.661381 118.452583 \nL 89.586239 113.668685 \nL 89.144568 109.327899 \nL 89.385878 105.559334 \nL 90.341532 102.474285 \nL 92.021284 100.157844 \nL 94.411152 98.662336 \nL 97.472924 98.003791 \nL 101.145503 98.161949 \nL 105.348007 99.083883 \nL 109.98439 100.690466 \nL 114.948939 102.884718 \nL 120.132202 105.560721 \nL 125.426613 108.611909 \nL 130.731334 111.937842 \nL 135.95603 115.448891 \nL 141.023371 119.068976 \nL 145.870302 122.73642 \nL 150.448241 126.403409 \nL 154.722411 130.034541 \nL 158.670596 133.604904 \nL 162.281499 137.098004 \nL 165.552957 140.503804 \nL 168.490136 143.817011 \nL 171.103824 147.035656 \nL 173.408888 150.159953 \nL 175.42294 153.191486 \nL 177.165202 156.132593 \nL 178.655589 158.985946 \nL 179.913973 161.754286 \nL 180.95963 164.44025 \nL 181.810815 167.046278 \nL 182.48447 169.574555 \nL 182.996037 172.026991 \nL 183.359334 174.405229 \nL 183.586506 176.710623 \nL 183.68802 178.944269 \nL 183.547705 183.199305 \nL 182.989961 187.173454 \nL 182.042762 190.864765 \nL 181.425941 192.6021 \nL 180.712643 194.265101 \nL 179.900651 195.851472 \nL 178.986618 197.358264 \nL 177.966107 198.781742 \nL 176.83361 200.117278 \nL 175.582578 201.359189 \nL 174.205429 202.500551 \nL 172.693575 203.533011 \nL 171.037433 204.446537 \nL 169.226459 205.229142 \nL 167.249196 205.866585 \nL 165.09333 206.342012 \nL 162.745789 206.635577 \nL 160.192895 206.724008 \nL 157.420544 206.580182 \nL 154.41451 206.172653 \nL 151.160805 205.465252 \nL 147.646197 204.416696 \nL 143.858886 202.980376 \nL 139.789369 201.104336 \nL 135.431555 198.731605 \nL 130.784159 195.801014 \nL 125.852417 192.248764 \nL 120.650139 188.010907 \nL 115.202133 183.027068 \nL 109.546954 177.245702 \nL 103.739837 170.63102 \nL 97.855733 163.171778 \nL 91.992035 154.891603 \nL 86.270658 145.860299 \nL 80.8388 136.20487 \nL 75.867705 126.118301 \nL 71.548602 115.863434 \nL 68.085196 105.768926 \nL 65.682296 96.214593 \nL 64.530706 87.604666 \nL 64.789572 80.330155 \nL 66.568162 74.724691 \nL 69.909776 71.021691 \nL 74.781182 69.322019 \nL 81.070052 69.580717 \nL 88.591825 71.616554 \nL 97.105321 75.142813 \nL 106.334567 79.811407 \nL 115.993023 85.259896 \nL 125.806214 91.151753 \nL 144.960239 103.197847 \nL 162.364239 114.466838 \nL 177.29733 124.375424 \nL 189.607557 132.886447 \nL 199.49931 140.188354 \nL 207.352088 146.50861 \nL 213.599455 152.035723 \nL 218.660759 156.900301 \nL 228.43259 166.570658 \nL 231.90986 169.472037 \nL 233.661574 170.703505 \nL 235.449124 171.780292 \nL 237.290032 172.694228 \nL 239.199781 173.43573 \nL 241.191923 173.993829 \nL 243.278144 174.35615 \nL 245.468291 174.50898 \nL 247.770307 174.437318 \nL 250.190123 174.125019 \nL 252.731472 173.555008 \nL 255.395632 172.709574 \nL 258.181101 171.570836 \nL 261.083196 170.12135 \nL 264.09358 168.344869 \nL 267.199768 166.227384 \nL 270.384548 163.758352 \nL 273.625446 160.93218 \nL 276.894178 157.749914 \nL 280.156235 154.221129 \nL 283.370583 150.365846 \nL 286.48962 146.216445 \nL 289.459465 141.819257 \nL 292.220631 137.235643 \nL 294.709254 132.542282 \nL 296.858846 127.830364 \nL 298.602676 123.203365 \nL 299.876666 118.773412 \nL 300.622751 114.656134 \nL 300.792449 110.964318 \nL 300.350353 107.800944 \nL 299.277233 105.252234 \nL 297.572369 103.381559 \nL 295.254751 102.225197 \nL 292.362982 101.790358 \nL 288.953777 102.055923 \nL 285.099176 102.975632 \nL 280.882698 104.483335 \nL 276.394907 106.499339 \nL 271.728797 108.937199 \nL 266.975397 111.709837 \nL 262.220021 114.734648 \nL 257.539359 117.937081 \nL 252.999507 121.252806 \nL 248.654945 124.62853 \nL 244.548333 128.021732 \nL 240.710964 131.399759 \nL 237.16372 134.738453 \nL 233.918314 138.020659 \nL 230.978699 141.234765 \nL 228.342518 144.373355 \nL 226.002481 147.432078 \nL 223.947649 150.408742 \nL 222.164555 153.302577 \nL 220.638182 156.11371 \nL 219.352753 158.842767 \nL 218.292401 161.490596 \nL 217.441672 164.05807 \nL 216.785923 166.545968 \nL 216.311603 168.954865 \nL 216.006465 171.285111 \nL 215.859694 173.536741 \nL 215.861979 175.709472 \nL 216.005551 177.802636 \nL 216.284186 179.815163 \nL 216.693182 181.745511 \nL 217.22932 183.591624 \nL 217.890821 185.35084 \nL 218.67729 187.019827 \nL 219.589664 188.594474 \nL 220.630149 190.069777 \nL 221.802166 191.439688 \nL 223.110287 192.696979 \nL 224.560173 193.833054 \nL 226.158503 194.837741 \nL 227.912888 195.69907 \nL 229.831777 196.403024 \nL 231.924339 196.933269 \nL 234.2003 197.270857 \nL 236.669745 197.393933 \nL 239.342872 197.277447 \nL 242.229655 196.89289 \nL 245.33942 196.208098 \nL 248.680324 195.187139 \nL 252.258663 193.79038 \nL 256.078047 191.974801 \nL 260.138377 189.694632 \nL 264.434595 186.902493 \nL 268.955246 183.551109 \nL 273.680765 179.595851 \nL 278.581609 174.998191 \nL 283.616227 169.730195 \nL 288.729011 163.780172 \nL 293.848387 157.15929 \nL 298.885323 149.908886 \nL 303.732582 142.107817 \nL 308.265146 133.878803 \nL 312.342308 125.392435 \nL 315.811812 116.867051 \nL 318.516397 108.562889 \nL 320.302833 100.769219 \nL 321.032983 93.784304 \nL 320.596094 87.889398 \nL 318.920843 83.32023 \nL 315.985357 80.240423 \nL 311.823376 78.722408 \nL 306.525049 78.739964 \nL 300.231823 80.174464 \nL 293.125855 82.83358 \nL 285.415475 86.478278 \nL 277.318978 90.852274 \nL 269.049119 95.708554 \nL 260.800176 100.829029 \nL 252.738866 106.035794 \nL 244.999348 111.194583 \nL 237.681926 116.212343 \nL 230.854653 121.03113 \nL 224.556836 125.620594 \nL 218.803561 129.970424 \nL 213.590517 134.083745 \nL 208.898617 137.971836 \nL 204.698139 141.65019 \nL 200.952233 145.13577 \nL 197.619782 148.445295 \nL 194.657636 151.594153 \nL 192.022303 154.595927 \nL 187.563365 160.202436 \nL 183.92587 165.334095 \nL 175.377353 178.196215 \nL 172.654694 181.64873 \nL 171.229462 183.207072 \nL 169.740267 184.646462 \nL 168.172241 185.960074 \nL 166.51124 187.139661 \nL 164.743717 188.175401 \nL 162.856629 189.055725 \nL 160.837371 189.767112 \nL 158.673782 190.293915 \nL 156.354184 190.618126 \nL 153.867496 190.719209 \nL 151.203408 190.57391 \nL 148.352656 190.15616 \nL 145.307371 189.437022 \nL 142.061573 188.384788 \nL 138.611773 186.965275 \nL 134.957719 185.142318 \nL 131.103316 182.878665 \nL 127.057699 180.137276 \nL 122.836453 176.883134 \nL 118.463018 173.085776 \nL 113.970157 168.722467 \nL 109.401448 163.782168 \nL 104.812691 158.270195 \nL 100.273063 152.213364 \nL 95.865758 145.665283 \nL 91.687879 138.711163 \nL 87.849267 131.471302 \nL 84.469935 124.102177 \nL 81.675901 116.794121 \nL 79.593269 109.764503 \nL 78.340742 103.246079 \nL 78.020954 97.470793 \nL 78.711401 92.650379 \nL 80.456083 88.956456 \nL 83.259042 86.503079 \nL 87.081019 85.335258 \nL 91.839984 85.425692 \nL 97.415834 86.680522 \nL 103.658645 88.953048 \nL 110.399519 92.062486 \nL 117.462416 95.814301 \nL 124.675441 100.018561 \nL 131.880346 104.503991 \nL 138.939419 109.126597 \nL 145.739565 113.77313 \nL 152.193712 118.360419 \nL 158.240105 122.831958 \nL 163.840072 127.153116 \nL 168.974912 131.306019 \nL 173.642373 135.284819 \nL 177.853158 139.09169 \nL 181.627663 142.733673 \nL 184.99313 146.220393 \nL 187.981235 149.562452 \nL 190.626137 152.770401 \nL 192.962959 155.854122 \nL 195.026625 158.822514 \nL 196.851029 161.683386 \nL 199.909242 167.108366 \nL 202.371269 172.17101 \nL 205.372036 179.145974 \nL 208.876419 187.367948 \nL 210.682691 191.026528 \nL 212.654506 194.374963 \nL 214.879158 197.39496 \nL 216.112994 198.772686 \nL 217.442248 200.055434 \nL 218.878038 201.236631 \nL 220.431847 202.308288 \nL 222.1156 203.260775 \nL 223.941714 204.082559 \nL 225.923133 204.759914 \nL 228.073316 205.276581 \nL 230.406204 205.61339 \nL 232.936122 205.747877 \nL 235.677627 205.653841 \nL 238.645267 205.300924 \nL 241.853247 204.654202 \nL 245.314962 203.673819 \nL 249.042369 202.314779 \nL 253.045174 200.526905 \nL 257.329787 198.255145 \nL 261.897998 195.44033 \nL 266.745362 192.020613 \nL 271.859226 187.933798 \nL 277.216437 183.120808 \nL 282.78073 177.530605 \nL 288.499903 171.126705 \nL 294.302891 163.895425 \nL 300.097098 155.855706 \nL 305.766327 147.069878 \nL 311.169879 137.654365 \nL 316.143506 127.788444 \nL 320.502951 117.718711 \nL 324.050787 107.756292 \nL 326.586891 98.264287 \nL 327.922533 89.633687 \nL 327.897139 82.248685 \nL 326.395935 76.444899 \nL 323.36586 72.46758 \nL 318.826818 70.438457 \nL 312.875481 70.33951 \nL 305.680224 72.018354 \nL 297.467433 75.214305 \nL 288.501348 79.598921 \nL 279.060869 84.821186 \nL 269.417247 90.547812 \nL 259.815768 96.492097 \nL 241.522142 108.19752 \nL 225.299274 118.866492 \nL 211.612469 128.173167 \nL 200.453042 136.187485 \nL 195.738971 139.773426 \nL 191.538783 143.115365 \nL 184.4678 149.164343 \nL 178.815038 154.494522 \nL 174.183784 159.211399 \nL 166.65688 167.002645 \nL 163.232831 170.090974 \nL 161.514148 171.423084 \nL 159.763096 172.605968 \nL 157.961457 173.631954 \nL 156.093 174.49193 \nL 154.143312 175.175327 \nL 152.099744 175.670104 \nL 149.951345 175.962749 \nL 147.68891 176.038308 \nL 145.305049 175.88045 \nL 142.794362 175.471611 \nL 140.153664 174.793224 \nL 137.382295 173.826046 \nL 134.482504 172.55068 \nL 131.45991 170.948234 \nL 128.324032 169.001213 \nL 125.088897 166.69468 \nL 121.773635 164.017631 \nL 118.403115 160.96468 \nL 115.008538 157.537976 \nL 111.627898 153.749311 \nL 108.30628 149.622279 \nL 105.09587 145.19433 \nL 102.055584 140.518517 \nL 99.250214 135.664524 \nL 96.748978 130.71876 \nL 94.62345 125.783111 \nL 92.944777 120.972108 \nL 91.780362 116.408405 \nL 91.190053 112.216596 \nL 91.222198 108.515908 \nL 91.909848 105.412207 \nL 93.267553 102.990533 \nL 95.289157 101.308811 \nL 97.946885 100.394001 \nL 101.192025 100.240931 \nL 104.957124 100.814299 \nL 109.159568 102.053303 \nL 113.706129 103.878178 \nL 118.498053 106.197719 \nL 123.436098 108.916628 \nL 128.425129 111.942004 \nL 133.377859 115.188224 \nL 138.217575 118.580185 \nL 142.879785 122.05489 \nL 147.31288 125.561623 \nL 151.477943 129.061197 \nL 155.347933 132.524547 \nL 158.906425 135.931074 \nL 162.146114 139.266933 \nL 165.067231 142.52343 \nL 167.675981 145.695676 \nL 169.983087 148.781427 \nL 172.002489 151.78022 \nL 173.750214 154.692707 \nL 175.243431 157.52018 \nL 176.499687 160.264215 \nL 177.536289 162.926466 \nL 178.369845 165.50849 \nL 179.015912 168.011683 \nL 179.488753 170.437211 \nL 179.801176 172.785955 \nL 179.964436 175.058524 \nL 179.988192 177.255208 \nL 179.880496 179.375956 \nL 179.647819 181.420366 \nL 179.295083 183.387624 \nL 178.825718 185.276489 \nL 178.24171 187.085212 \nL 177.543666 188.811483 \nL 176.730866 190.452333 \nL 175.801321 192.004055 \nL 174.751822 193.462071 \nL 173.577991 194.820806 \nL 172.274331 196.073525 \nL 170.834265 197.212147 \nL 169.250196 198.227039 \nL 167.51356 199.106779 \nL 165.614908 199.837886 \nL 163.543986 200.404531 \nL 161.289868 200.78821 \nL 158.841119 200.967409 \nL 156.186003 200.917246 \nL 153.312777 200.609131 \nL 150.210066 200.010469 \nL 146.867358 199.084419 \nL 143.275625 197.789797 \nL 139.428133 196.08119 \nL 135.32143 193.909379 \nL 130.956587 191.222212 \nL 126.340679 187.966066 \nL 121.488547 184.088123 \nL 116.424802 179.539638 \nL 111.186113 174.280376 \nL 105.823542 168.284391 \nL 100.404944 161.547117 \nL 95.017055 154.09357 \nL 89.766939 145.987165 \nL 84.782424 137.338092 \nL 80.210849 128.309881 \nL 76.215624 119.122107 \nL 72.970134 110.047179 \nL 70.648639 101.399177 \nL 69.414428 93.513822 \nL 69.405906 86.72031 \nL 70.722168 81.307789 \nL 73.409981 77.492003 \nL 77.454587 75.388511 \nL 82.776315 74.998581 \nL 89.234237 76.211704 \nL 96.636728 78.824199 \nL 104.757417 82.569847 \nL 113.353952 87.155389 \nL 122.186651 92.293796 \nL 131.03438 97.729627 \nL 139.706097 103.25418 \nL 155.942586 113.991389 \nL 170.112738 123.797278 \nL 176.324182 128.280823 \nL 181.951511 132.488347 \nL 187.015741 136.435538 \nL 191.549836 140.142503 \nL 195.594683 143.630585 \nL 199.195827 146.920318 \nL 202.400956 150.030305 \nL 205.258014 152.976662 \nL 210.113288 158.4298 \nL 214.109037 163.357871 \nL 220.683704 171.786603 \nL 223.728917 175.297336 \nL 225.273447 176.868404 \nL 226.858622 178.310003 \nL 228.501961 179.615522 \nL 230.219616 180.776928 \nL 232.026523 181.784665 \nL 233.936534 182.627538 \nL 235.962483 183.292591 \nL 238.116211 183.764983 \nL 240.40853 184.027885 \nL 242.849136 184.062397 \nL 245.446421 183.847487 \nL 248.207233 183.36004 \nL 251.136524 182.574999 \nL 254.236911 181.465609 \nL 257.50811 180.003902 \nL 260.946282 178.161411 \nL 264.543226 175.910167 \nL 268.285501 173.2241 \nL 272.153437 170.080894 \nL 276.120083 166.464243 \nL 280.150145 162.366688 \nL 284.199032 157.792819 \nL 288.212078 152.762856 \nL 292.124081 147.316269 \nL 295.859392 141.515103 \nL 299.332697 135.446548 \nL 302.4507 129.224005 \nL 305.114883 122.986134 \nL 307.225434 116.893103 \nL 308.686243 111.119821 \nL 309.41082 105.846001 \nL 309.328693 101.243897 \nL 308.391591 97.464678 \nL 306.578787 94.625533 \nL 303.900736 92.799236 \nL 300.400334 92.008157 \nL 296.15152 92.223727 \nL 291.255185 93.371628 \nL 285.832771 95.341575 \nL 280.018484 97.999954 \nL 273.950936 101.203236 \nL 267.765276 104.810064 \nL 261.586542 108.690713 \nL 255.524727 112.733237 \nL 249.671742 116.846344 \nL 244.100146 120.959579 \nL 238.863392 125.021663 \nL 233.997153 128.997645 \nL 229.52139 132.86574 \nL 225.442785 136.61412 \nL 221.757261 140.238127 \nL 218.452409 143.737967 \nL 215.509702 147.116893 \nL 212.906403 150.379891 \nL 210.617189 153.532731 \nL 208.615436 156.581383 \nL 206.874262 159.531628 \nL 205.367292 162.388852 \nL 204.069228 165.157953 \nL 202.956239 167.843343 \nL 201.198862 172.978248 \nL 199.940609 177.820158 \nL 199.056581 182.390584 \nL 198.449144 186.707477 \nL 197.899668 192.740972 \nL 197.63664 198.284502 \nL 197.557717 204.983003 \nL 197.735899 212.360371 \nL 198.059068 217.555604 \nL 198.565627 222.191921 \nL 199.103323 225.334944 \nL 199.823449 228.212056 \nL 200.43433 229.9891 \nL 201.176763 231.655993 \nL 202.079936 233.212812 \nL 203.179806 234.656779 \nL 204.520617 235.981028 \nL 206.156741 237.172742 \nL 208.154906 238.210353 \nL 210.596805 239.059366 \nL 213.582087 239.666123 \nL 215.315347 239.85446 \nL 217.23161 239.948585 \nL 219.349817 239.931605 \nL 221.690602 239.782859 \nL 224.276326 239.477148 \nL 227.131074 238.983835 \nL 230.280569 238.2658 \nL 233.751999 237.278246 \nL 237.573695 235.967396 \nL 241.774595 234.269082 \nL 246.383481 232.107337 \nL 251.427804 229.393112 \nL 256.932076 226.023343 \nL 262.915638 221.880709 \nL 269.389671 216.834612 \nL 276.353273 210.744013 \nL 283.788472 203.463139 \nL 291.654036 194.85114 \nL 299.878095 184.786961 \nL 308.349881 173.190538 \nL 316.911032 160.050881 \nL 325.347669 145.460178 \nL 333.384939 129.6507 \nL 340.686485 113.027954 \nL 346.862003 96.189364 \nL 351.485879 79.914876 \nL 354.129062 65.115977 \nL 354.403833 52.736303 \nL 352.01693 43.611774 \nL 346.822057 38.317298 \nL 338.858932 37.043508 \nL 328.366393 39.547669 \nL 315.762301 45.202221 \nL 301.592455 53.128426 \nL 286.460554 62.370041 \nL 270.956451 72.051736 \nL 255.59854 81.482612 \nL 240.799132 90.19361 \nL 226.853402 97.922434 \nL 213.946583 104.569488 \nL 202.171848 110.146554 \nL 191.552096 114.731445 \nL 182.060959 118.434188 \nL 173.640594 121.374747 \nL 166.215466 123.670001 \nL 159.70228 125.427256 \nL 154.016708 126.741767 \nL 149.077606 127.696562 \nL 144.809431 128.363353 \nL 138.017655 129.071406 \nL 133.173552 129.264692 \nL 126.990633 129.351795 \nL 126.848747 129.511426 \nL 126.892532 129.744303 \nL 127.447966 130.448159 \nL 132.99757 136.20934 \nL 134.536607 138.152979 \nL 135.922341 140.170156 \nL 137.080279 142.194689 \nL 137.954129 144.163574 \nL 138.50421 146.017815 \nL 138.705453 147.702439 \nL 138.545357 149.166142 \nL 138.022202 150.360862 \nL 137.626563 150.843196 \nL 137.143783 151.241707 \nL 136.576214 151.551325 \nL 135.926766 151.767263 \nL 135.198919 151.885059 \nL 133.524946 151.810408 \nL 131.59465 151.301012 \nL 129.45977 150.341507 \nL 127.184767 148.931689 \nL 124.847777 147.091381 \nL 122.540667 144.865392 \nL 120.367575 142.327455 \nL 118.44132 139.582049 \nL 116.877308 136.762583 \nL 115.784877 134.024757 \nL 115.445427 132.738403 \nL 115.256714 131.53476 \nL 115.225884 130.433618 \nL 115.357697 129.453286 \nL 115.654288 128.610078 \nL 116.114989 127.917818 \nL 116.73625 127.387449 \nL 117.511638 127.026747 \nL 118.431938 126.840175 \nL 119.485358 126.828871 \nL 120.65781 126.990745 \nL 121.933267 127.320719 \nL 123.294166 127.811069 \nL 126.197127 129.231113 \nL 129.21278 131.151904 \nL 132.190889 133.459567 \nL 134.99597 136.037463 \nL 137.514556 138.774716 \nL 139.658412 141.570845 \nL 141.364344 144.337181 \nL 142.591583 146.995989 \nL 143.31792 149.478363 \nL 143.490356 150.633655 \nL 143.535551 151.721738 \nL 143.454173 152.735374 \nL 143.247373 153.667449 \nL 142.916724 154.510922 \nL 142.464188 155.258779 \nL 141.892092 155.904024 \nL 141.203123 156.439659 \nL 140.400365 156.858715 \nL 139.487318 157.154272 \nL 138.467982 157.319503 \nL 137.346915 157.347772 \nL 136.129335 157.232734 \nL 134.821235 156.968478 \nL 133.429498 156.549714 \nL 131.962025 155.971944 \nL 130.427862 155.23176 \nL 128.837361 154.327098 \nL 127.202261 153.257565 \nL 125.53583 152.02477 \nL 123.852938 150.632713 \nL 122.170084 149.088116 \nL 120.505416 147.400786 \nL 118.878657 145.583926 \nL 117.310957 143.654366 \nL 115.824686 141.632668 \nL 114.443099 139.543161 \nL 113.189926 137.413746 \nL 112.088851 135.275527 \nL 111.162886 133.162229 \nL 110.433709 131.10941 \nL 109.920913 129.153473 \nL 109.641238 127.330508 \nL 109.607853 125.675035 \nL 109.829662 124.21874 \nL 110.31077 122.989225 \nL 111.050096 122.008987 \nL 112.041172 121.294546 \nL 113.27216 120.855956 \nL 114.726119 120.696617 \nL 116.381503 120.813445 \nL 118.212813 121.197364 \nL 120.191429 121.834096 \nL 122.286546 122.705093 \nL 124.466147 123.78862 \nL 126.697957 125.060825 \nL 128.950318 126.496798 \nL 131.193001 128.071428 \nL 135.539102 131.539744 \nL 139.543071 135.28571 \nL 143.059389 139.156767 \nL 144.602326 141.09961 \nL 145.990014 143.029615 \nL 147.216615 144.935324 \nL 148.278311 146.806504 \nL 149.173 148.633923 \nL 149.899976 150.409153 \nL 150.459645 152.124377 \nL 150.853269 153.772202 \nL 151.082711 155.345514 \nL 151.150252 156.83734 \nL 151.058408 158.240701 \nL 150.809811 159.548516 \nL 150.407109 160.753486 \nL 149.852902 161.848026 \nL 149.149716 162.824179 \nL 148.300002 163.673569 \nL 147.306177 164.387351 \nL 146.170687 164.956189 \nL 144.896097 165.37026 \nL 143.485227 165.619281 \nL 141.941302 165.69257 \nL 140.268135 165.579159 \nL 138.470347 165.267939 \nL 136.553614 164.747898 \nL 134.524932 164.008408 \nL 132.392922 163.039603 \nL 130.16813 161.832851 \nL 127.863361 160.381335 \nL 125.494006 158.680704 \nL 123.078333 156.729863 \nL 120.637769 154.531818 \nL 118.197097 152.094566 \nL 115.784572 149.432016 \nL 113.431898 146.564832 \nL 111.174047 143.521138 \nL 109.048884 140.337014 \nL 107.096536 137.056615 \nL 105.358515 133.73183 \nL 103.876584 130.421431 \nL 102.691351 127.189589 \nL 101.840672 124.10377 \nL 101.357914 121.232082 \nL 101.270199 118.640243 \nL 101.596715 116.388314 \nL 102.347302 114.52759 \nL 103.521412 113.097852 \nL 105.107564 112.125322 \nL 107.083382 111.621612 \nL 109.416289 111.583623 \nL 112.064726 111.994569 \nL 114.979921 112.825795 \nL 118.107953 114.039364 \nL 121.39202 115.59088 \nL 124.774698 117.432438 \nL 128.20002 119.515257 \nL 131.615299 121.791953 \nL 134.972518 124.21826 \nL 138.229348 126.754159 \nL 141.349712 129.364487 \nL 144.303997 132.019115 \nL 147.068935 134.69279 \nL 149.62722 137.364692 \nL 151.966958 140.017942 \nL 154.081002 142.638983 \nL 155.966224 145.216982 \nL 157.622787 147.74328 \nL 159.053439 150.2109 \nL 160.262853 152.614084 \nL 161.257043 154.94797 \nL 162.042846 157.208267 \nL 162.62748 159.391009 \nL 163.018188 161.492369 \nL 163.221936 163.508458 \nL 163.24519 165.435209 \nL 163.093731 167.268228 \nL 162.772548 169.002694 \nL 162.285753 170.63323 \nL 161.636537 172.153805 \nL 160.827171 173.557629 \nL 159.85903 174.837028 \nL 158.73264 175.983345 \nL 157.447759 176.986808 \nL 156.00349 177.836429 \nL 154.398407 178.519878 \nL 152.630727 179.023399 \nL 150.698503 179.331724 \nL 148.599874 179.428016 \nL 146.333349 179.293872 \nL 143.898148 178.90938 \nL 141.294598 178.253267 \nL 138.524613 177.303183 \nL 135.592217 176.036115 \nL 132.504176 174.42902 \nL 129.270692 172.45968 \nL 125.906139 170.107862 \nL 122.4299 167.356787 \nL 118.867199 164.194929 \nL 115.249917 160.618194 \nL 111.6173 156.632347 \nL 108.016569 152.255661 \nL 104.503167 147.521596 \nL 101.140682 142.481202 \nL 98.000182 137.20495 \nL 95.158911 131.783523 \nL 92.698191 126.327156 \nL 90.700506 120.963073 \nL 89.245741 115.830772 \nL 88.406823 111.075117 \nL 88.244902 106.837697 \nL 88.804632 103.247021 \nL 90.109938 100.408834 \nL 92.160867 98.397746 \nL 94.932023 97.251558 \nL 98.372864 96.969053 \nL 102.409966 97.511831 \nL 106.951121 98.809771 \nL 111.890748 100.76903 \nL 117.116033 103.281533 \nL 122.513145 106.234355 \nL 127.972882 109.51788 \nL 133.395292 113.031979 \nL 138.692988 116.689968 \nL 143.793128 120.420338 \nL 148.63814 124.166826 \nL 153.185404 127.887194 \nL 157.406179 131.551305 \nL 161.284018 135.138942 \nL 164.81292 138.637566 \nL 167.995407 142.040385 \nL 170.840662 145.344643 \nL 173.362814 148.550322 \nL 175.57944 151.659102 \nL 177.510276 154.673644 \nL 179.176167 157.597075 \nL 180.598217 160.43265 \nL 181.797129 163.183536 \nL 182.792722 165.852697 \nL 183.603575 168.442823 \nL 184.246786 170.956336 \nL 184.737833 173.39536 \nL 185.090494 175.761746 \nL 185.427218 180.282699 \nL 185.333414 184.528906 \nL 184.860293 188.506155 \nL 184.036211 192.215981 \nL 182.869035 195.654872 \nL 182.154144 197.269893 \nL 181.348129 198.812812 \nL 180.446998 200.281002 \nL 179.445743 201.671115 \nL 178.338357 202.97895 \nL 177.117836 204.199306 \nL 175.776178 205.325811 \nL 174.304395 206.350722 \nL 172.692505 207.264684 \nL 170.929543 208.056461 \nL 169.003582 208.712624 \nL 166.901771 209.217199 \nL 164.610403 209.55125 \nL 162.115017 209.692451 \nL 159.400564 209.614597 \nL 156.451631 209.28711 \nL 153.252774 208.674524 \nL 149.788965 207.736009 \nL 146.046189 206.425005 \nL 142.012253 204.688993 \nL 137.677814 202.46958 \nL 133.037706 199.703017 \nL 128.092606 196.321359 \nL 122.851035 192.254531 \nL 117.331843 187.43359 \nL 111.566999 181.795549 \nL 105.60479 175.28998 \nL 99.513148 167.88773 \nL 93.382989 159.591618 \nL 87.331012 150.448761 \nL 81.501482 140.563452 \nL 76.066196 130.108799 \nL 71.22172 119.334388 \nL 67.183059 108.566623 \nL 64.173079 98.198122 \nL 62.407474 88.663794 \nL 62.076137 80.402999 \nL 63.322581 73.811663 \nL 66.224448 69.191489 \nL 70.778734 66.707179 \nL 76.895078 66.362294 \nL 84.399547 68.000974 \nL 93.048907 71.335796 \nL 102.553297 75.994833 \nL 112.603099 81.57601 \nL 122.89533 87.696368 \nL 143.152389 100.314152 \nL 170.012968 117.441036 \nL 184.575509 126.90103 \nL 196.417337 134.879645 \nL 205.857731 141.637729 \nL 213.338694 147.424036 \nL 219.320008 152.424797 \nL 232.203782 163.648246 \nL 234.020711 165.006578 \nL 235.822243 166.214358 \nL 237.630747 167.266335 \nL 239.465839 168.155882 \nL 241.344568 168.875084 \nL 243.281581 169.414796 \nL 245.289229 169.764725 \nL 247.377633 169.913522 \nL 249.554671 169.848925 \nL 251.825949 169.557933 \nL 254.194669 169.027059 \nL 256.66146 168.242668 \nL 259.224147 167.191419 \nL 261.877477 165.860816 \nL 264.612778 164.239941 \nL 267.417601 162.320315 \nL 270.275355 160.096912 \nL 273.164958 157.569337 \nL 276.060506 154.74314 \nL 278.931079 151.631175 \nL 281.740653 148.254929 \nL 284.448226 144.645806 \nL 287.008233 140.846034 \nL 289.371248 136.909205 \nL 291.485083 132.900124 \nL 293.29626 128.893859 \nL 294.751937 124.973868 \nL 295.802134 121.229084 \nL 296.402235 117.750098 \nL 296.515573 114.624602 \nL 296.115938 111.932515 \nL 295.189731 109.741123 \nL 293.737551 108.100988 \nL 291.774999 107.042939 \nL 289.332587 106.576619 \nL 286.454693 106.690758 \nL 283.19757 107.355143 \nL 279.626704 108.523923 \nL 275.813653 110.139806 \nL 271.832699 112.13863 \nL 267.757643 114.453804 \nL 263.658896 117.020088 \nL 259.601155 119.776532 \nL 255.641687 122.668508 \nL 251.829267 125.648769 \nL 248.20374 128.677776 \nL 244.796079 131.723388 \nL 241.628888 134.760196 \nL 238.717172 137.768624 \nL 236.069282 140.733924 \nL 233.687982 143.645254 \nL 231.571482 146.494762 \nL 229.714456 149.276864 \nL 228.108966 151.987612 \nL 226.745292 154.624179 \nL 225.612641 157.184459 \nL 224.699748 159.666783 \nL 223.995365 162.069668 \nL 223.488647 164.391641 \nL 223.169465 166.631127 \nL 223.028626 168.786294 \nL 223.058036 170.854982 \nL 223.250809 172.834632 \nL 223.60133 174.722169 \nL 224.105285 176.513937 \nL 224.759658 178.205601 \nL 225.562711 179.792032 \nL 226.513943 181.267227 \nL 227.614033 182.624138 \nL 228.864761 183.854569 \nL 230.268925 184.948998 \nL 231.830234 185.896427 \nL 233.55319 186.684209 \nL 235.442924 187.297845 \nL 237.505028 187.720823 \nL 239.745324 187.93444 \nL 242.169607 187.917655 \nL 244.78331 187.646976 \nL 247.591109 187.096431 \nL 250.596436 186.237655 \nL 253.800897 185.040092 \nL 257.203563 183.47143 \nL 260.800153 181.498315 \nL 264.582085 179.087422 \nL 268.535365 176.206947 \nL 272.639388 172.828629 \nL 276.865659 168.93039 \nL 281.176438 164.499589 \nL 285.523505 159.536852 \nL 289.847072 154.060411 \nL 294.075076 148.110628 \nL 298.123081 141.754283 \nL 301.894977 135.088004 \nL 305.284779 128.239974 \nL 308.179772 121.369146 \nL 310.465054 114.660947 \nL 312.029538 108.319076 \nL 312.773107 102.553279 \nL 312.614395 97.563899 \nL 311.498418 93.52487 \nL 309.403043 90.567508 \nL 306.343323 88.767897 \nL 302.372823 88.140097 \nL 297.581485 88.636664 \nL 292.090142 90.156494 \nL 286.042323 92.558283 \nL 279.594399 95.677159 \nL 272.905393 99.34145 \nL 266.127683 103.387194 \nL 259.39943 107.668598 \nL 252.839377 112.064176 \nL 246.543968 116.478748 \nL 240.586625 120.84234 \nL 235.018713 125.107104 \nL 229.871643 129.243257 \nL 225.159686 133.234868 \nL 220.883014 137.075995 \nL 217.03074 140.767451 \nL 213.583699 144.314247 \nL 210.516908 147.723686 \nL 207.801636 151.004077 \nL 205.407087 154.163845 \nL 203.301718 157.211041 \nL 201.454254 160.153031 \nL 199.834413 162.99639 \nL 198.413418 165.746899 \nL 196.062149 170.988793 \nL 194.20915 175.911237 \nL 192.024181 182.747415 \nL 188.399643 194.633866 \nL 187.107363 198.097561 \nL 185.662183 201.314798 \nL 184.002551 204.279181 \nL 182.064759 206.976569 \nL 180.970233 208.217924 \nL 179.779633 209.382233 \nL 178.482968 210.464098 \nL 177.069555 211.456869 \nL 175.527949 212.352419 \nL 173.845876 213.14089 \nL 172.010189 213.810371 \nL 170.006838 214.346555 \nL 167.820868 214.732323 \nL 165.436446 214.94728 \nL 162.836937 214.967234 \nL 160.005048 214.763615 \nL 156.923045 214.302879 \nL 153.573083 213.545876 \nL 149.937683 212.447238 \nL 146.000373 210.954885 \nL 141.746568 209.009679 \nL 137.164725 206.545408 \nL 132.24785 203.489293 \nL 126.995392 199.763221 \nL 121.415597 195.286094 \nL 115.528376 189.977617 \nL 109.368657 183.763972 \nL 102.99017 176.585847 \nL 96.469516 168.408987 \nL 89.910156 159.237373 \nL 83.445855 149.128444 \nL 77.242806 138.209029 \nL 71.499479 126.689485 \nL 66.443033 114.872492 \nL 62.321135 103.151979 \nL 59.388431 91.997469 \nL 57.887561 81.920894 \nL 58.025813 73.426323 \nL 59.950092 66.948097 \nL 63.72423 62.788865 \nL 69.313378 61.071998 \nL 76.579638 61.721961 \nL 85.291229 64.479339 \nL 95.144214 68.947538 \nL 105.79294 74.658253 \nL 116.88323 81.138961 \nL 139.101871 94.804586 \nL 169.068132 113.357748 \nL 204.413558 135.041237 \nL 213.864068 141.122766 \nL 221.337559 146.181453 \nL 238.470045 158.083768 \nL 240.360327 159.151829 \nL 242.207933 160.063984 \nL 244.035365 160.816688 \nL 245.861789 161.405257 \nL 247.703245 161.824039 \nL 249.572823 162.066636 \nL 251.480805 162.126086 \nL 253.43475 161.995068 \nL 255.439543 161.666189 \nL 257.497413 161.132249 \nL 259.607884 160.38661 \nL 261.767721 159.423586 \nL 263.970822 158.238946 \nL 266.208137 156.830437 \nL 268.467539 155.198404 \nL 270.733729 153.346458 \nL 272.988219 151.282163 \nL 275.209294 149.017704 \nL 277.372138 146.570561 \nL 279.449023 143.96401 \nL 281.409681 141.227528 \nL 283.221808 138.396869 \nL 284.851761 135.513894 \nL 286.265462 132.62596 \nL 287.42946 129.784913 \nL 288.312156 127.045614 \nL 288.885145 124.464086 \nL 289.12457 122.095285 \nL 289.012464 119.990757 \nL 288.537903 118.196215 \nL 287.697951 116.749367 \nL 286.498227 115.678146 \nL 284.953086 114.999477 \nL 283.085343 114.718856 \nL 280.925563 114.830563 \nL 278.510932 115.318618 \nL 275.883798 116.15834 \nL 273.090038 117.318247 \nL 270.17733 118.762244 \nL 267.19342 120.451656 \nL 264.18461 122.347175 \nL 261.194412 124.410494 \nL 258.262503 126.605525 \nL 255.424018 128.899229 \nL 252.709116 131.262121 \nL 250.142836 133.668423 \nL 247.745186 136.095989 \nL 245.531422 138.526047 \nL 243.512464 140.94284 \nL 241.695399 143.333221 \nL 240.084032 145.686222 \nL 238.679457 147.992626 \nL 237.480604 150.244607 \nL 236.484753 152.435391 \nL 235.688005 154.558931 \nL 235.085695 156.609687 \nL 234.672752 158.582391 \nL 234.44399 160.471864 \nL 234.394362 162.272854 \nL 234.519134 163.979899 \nL 234.814041 165.587192 \nL 235.275374 167.088472 \nL 235.900036 168.476916 \nL 236.685566 169.745019 \nL 237.630124 170.884511 \nL 238.732439 171.886269 \nL 239.991735 172.740199 \nL 241.407631 173.435191 \nL 242.979979 173.959043 \nL 244.708713 174.29842 \nL 246.593616 174.438859 \nL 248.634086 174.36479 \nL 250.828824 174.059643 \nL 253.175504 173.506031 \nL 255.670369 172.686015 \nL 258.307782 171.581533 \nL 261.079737 170.174934 \nL 263.975293 168.449734 \nL 266.979997 166.39157 \nL 270.075268 163.989379 \nL 273.237771 161.236788 \nL 276.438875 158.133764 \nL 279.64413 154.688391 \nL 282.812952 150.918772 \nL 285.898498 146.854873 \nL 288.84786 142.540113 \nL 291.602678 138.032511 \nL 294.100212 133.405092 \nL 296.274969 128.745233 \nL 298.060935 124.152738 \nL 299.394311 119.736496 \nL 300.216715 115.609687 \nL 300.478637 111.883787 \nL 300.142898 108.661819 \nL 299.187724 106.031563 \nL 297.609144 104.059458 \nL 295.422397 102.786079 \nL 292.662036 102.223827 \nL 289.380706 102.357149 \nL 285.646627 103.14523 \nL 281.540019 104.52672 \nL 277.148847 106.425826 \nL 272.564339 108.758813 \nL 267.876599 111.440144 \nL 263.170839 114.387674 \nL 258.524348 117.526452 \nL 254.004382 120.791136 \nL 249.666978 124.126995 \nL 245.556595 127.489907 \nL 241.706434 130.8456 \nL 238.139263 134.16839 \nL 234.868596 137.439771 \nL 231.900025 140.646966 \nL 229.232645 143.781591 \nL 226.860418 146.838516 \nL 224.773444 149.814932 \nL 222.959108 152.709589 \nL 221.40306 155.522229 \nL 220.090039 158.253187 \nL 219.004553 160.903072 \nL 218.13141 163.472575 \nL 217.456139 165.962306 \nL 216.965282 168.372719 \nL 216.646629 170.704027 \nL 216.489354 172.956154 \nL 216.48411 175.128688 \nL 216.623067 177.220841 \nL 216.899927 179.231407 \nL 217.309901 181.158697 \nL 217.849687 183.000503 \nL 218.517418 184.75399 \nL 219.312614 186.415637 \nL 220.236124 187.981122 \nL 221.290075 189.445205 \nL 222.477797 190.801585 \nL 223.803776 192.042747 \nL 225.27357 193.159784 \nL 226.893745 194.14218 \nL 228.671779 194.977598 \nL 230.615954 195.651626 \nL 232.735229 196.147504 \nL 235.03907 196.445848 \nL 237.537235 196.52437 \nL 240.239504 196.357597 \nL 243.155334 195.916648 \nL 246.293398 195.169052 \nL 249.661041 194.078713 \nL 253.263569 192.606035 \nL 257.10339 190.708312 \nL 261.178955 188.340479 \nL 265.483492 185.456373 \nL 270.003549 182.010622 \nL 274.717276 177.961316 \nL 279.59259 173.273608 \nL 284.585178 167.924383 \nL 289.636561 161.907922 \nL 294.672327 155.242516 \nL 299.600891 147.977528 \nL 304.313014 140.200292 \nL 308.682632 132.041767 \nL 312.56934 123.679456 \nL 315.822973 115.336071 \nL 318.29052 107.272331 \nL 319.825345 99.772915 \nL 320.298226 93.125759 \nL 319.609238 87.596308 \nL 317.699071 83.4002 \nL 314.557947 80.67903 \nL 310.230518 79.484096 \nL 304.815448 79.771996 \nL 298.459322 81.413125 \nL 291.345546 84.211438 \nL 283.679917 87.93107 \nL 275.674991 92.324301 \nL 267.5355 97.155917 \nL 259.44653 102.220692 \nL 251.565433 107.352797 \nL 244.017642 112.428175 \nL 236.89591 117.361563 \nL 230.262185 122.100424 \nL 224.151155 126.617711 \nL 218.57469 130.904793 \nL 213.526464 134.965284 \nL 208.986369 138.810187 \nL 204.924426 142.454277 \nL 201.304099 145.913601 \nL 198.084986 149.2039 \nL 195.224914 152.339664 \nL 192.681528 155.333661 \nL 188.380981 160.938021 \nL 184.875957 166.082509 \nL 175.359724 180.876732 \nL 172.666098 184.186402 \nL 171.233916 185.673638 \nL 169.725105 187.041254 \nL 168.12572 188.281679 \nL 166.422317 189.385849 \nL 164.601854 190.343007 \nL 162.651615 191.140526 \nL 160.55919 191.763676 \nL 158.312489 192.195415 \nL 155.899831 192.416157 \nL 153.310081 192.40356 \nL 150.532884 192.132342 \nL 147.558968 191.574175 \nL 144.380582 190.69765 \nL 140.992039 189.468409 \nL 137.390404 187.849495 \nL 133.576361 185.801993 \nL 129.555232 183.286048 \nL 125.338183 180.26242 \nL 120.94362 176.694643 \nL 116.398709 172.551948 \nL 111.740992 167.81295 \nL 107.020019 162.470217 \nL 102.298818 156.535541 \nL 97.655007 150.045677 \nL 93.181305 143.068067 \nL 88.985096 135.70575 \nL 85.186704 128.100434 \nL 81.916056 120.432567 \nL 79.307504 112.917103 \nL 77.492769 105.794053 \nL 76.592214 99.313686 \nL 76.705163 93.717077 \nL 77.900173 89.214143 \nL 80.206607 85.962441 \nL 83.60893 84.050455 \nL 88.044808 83.48875 \nL 93.407721 84.211113 \nL 99.554013 86.085367 \nL 106.313393 88.931775 \nL 113.501495 92.545129 \nL 120.932657 96.71659 \nL 128.43134 101.251605 \nL 135.841039 105.982218 \nL 143.030095 110.773258 \nL 149.894449 115.523311 \nL 156.357765 120.161932 \nL 162.36961 124.644715 \nL 167.902359 128.947623 \nL 172.94748 133.061484 \nL 177.511699 136.987205 \nL 181.613348 140.731946 \nL 185.279104 144.306274 \nL 188.541229 147.72217 \nL 191.435294 150.991693 \nL 193.998404 154.126216 \nL 196.267825 157.135988 \nL 198.279996 160.029951 \nL 201.670283 165.499763 \nL 204.423569 170.582549 \nL 207.825964 177.544924 \nL 210.868418 183.755836 \nL 212.925279 187.481891 \nL 215.137216 190.863832 \nL 216.333081 192.418829 \nL 217.605004 193.877736 \nL 218.964854 195.235182 \nL 220.424484 196.484574 \nL 221.99584 197.617921 \nL 223.691056 198.625627 \nL 225.522516 199.496251 \nL 227.502889 200.216237 \nL 229.645125 200.769617 \nL 231.962423 201.137684 \nL 234.468118 201.298655 \nL 237.175535 201.227314 \nL 240.097728 200.894654 \nL 243.247147 200.267591 \nL 246.635177 199.30872 \nL 250.271509 197.976224 \nL 254.163353 196.224009 \nL 258.314442 194.002147 \nL 262.72377 191.257791 \nL 267.384109 187.936701 \nL 272.280202 183.985614 \nL 277.386721 179.355617 \nL 282.665964 174.006744 \nL 288.06547 167.913927 \nL 293.515598 161.074289 \nL 298.927467 153.515569 \nL 304.191504 145.305044 \nL 309.177136 136.558001 \nL 313.734197 127.444193 \nL 317.696577 118.190186 \nL 320.888687 109.075556 \nL 323.134889 100.420806 \nL 324.27176 92.566282 \nL 324.162262 85.842838 \nL 322.710439 80.537641 \nL 319.874338 76.860418 \nL 315.674897 74.917224 \nL 310.198783 74.697612 \nL 303.593957 76.07881 \nL 296.058346 78.846191 \nL 287.82324 82.725298 \nL 279.134101 87.418077 \nL 270.23182 92.636146 \nL 261.33699 98.125535 \nL 252.638747 103.680832 \nL 236.399129 114.428232 \nL 222.270256 124.202803 \nL 216.088366 128.662926 \nL 210.493162 132.844553 \nL 205.461657 136.764639 \nL 200.959345 140.444088 \nL 196.944183 143.90468 \nL 193.369789 147.167155 \nL 190.187908 150.250148 \nL 184.809737 155.939144 \nL 180.443299 161.068192 \nL 170.398313 173.531243 \nL 167.291349 176.722869 \nL 165.682095 178.123191 \nL 164.012001 179.38434 \nL 162.265096 180.497883 \nL 160.42664 181.453851 \nL 158.48302 182.240605 \nL 156.421675 182.844743 \nL 154.2311 183.250979 \nL 151.900888 183.44203 \nL 149.421845 183.398595 \nL 146.786192 183.099287 \nL 143.987836 182.520764 \nL 141.022736 181.63788 \nL 137.889378 180.42402 \nL 134.58936 178.85165 \nL 131.128071 176.893136 \nL 127.515518 174.52186 \nL 123.767199 171.713733 \nL 119.905109 168.449143 \nL 115.958756 164.715373 \nL 111.966139 160.509468 \nL 107.974639 155.841507 \nL 104.041659 150.738083 \nL 100.234874 145.24573 \nL 96.631908 139.433937 \nL 93.319269 133.397102 \nL 90.390328 127.254966 \nL 87.942259 121.150716 \nL 86.071817 115.246373 \nL 84.870185 109.715141 \nL 84.417003 104.730985 \nL 84.774213 100.456192 \nL 85.980247 97.028349 \nL 88.045393 94.548424 \nL 90.94897 93.072047 \nL 94.638937 92.605367 \nL 99.034123 93.106336 \nL 104.028955 94.491166 \nL 109.50015 96.64479 \nL 115.314504 99.433478 \nL 121.336921 102.717431 \nL 127.437717 106.36182 \nL 133.498601 110.244953 \nL 139.416907 114.263275 \nL 145.108029 118.333391 \nL 150.506224 122.39169 \nL 155.564047 126.392379 \nL 160.250837 130.304671 \nL 164.550617 134.109685 \nL 168.459686 137.797484 \nL 171.984185 141.36449 \nL 175.137801 144.811388 \nL 177.939685 148.141526 \nL 180.412669 151.359717 \nL 182.581778 154.471417 \nL 184.473027 157.482216 \nL 186.112485 160.397503 \nL 187.525563 163.222279 \nL 188.736515 165.961099 \nL 189.768084 168.618057 \nL 191.375301 173.700637 \nL 192.493161 178.49494 \nL 193.238431 183.021236 \nL 193.701142 187.29656 \nL 193.948277 191.335701 \nL 194.015215 196.980049 \nL 193.800957 202.16176 \nL 193.348545 206.915034 \nL 192.659183 211.268785 \nL 192.053185 213.960821 \nL 191.310726 216.490233 \nL 190.408163 218.859582 \nL 189.314934 221.068516 \nL 187.992591 223.112682 \nL 186.393468 224.982081 \nL 184.458992 226.658668 \nL 183.344215 227.415978 \nL 182.117641 228.112811 \nL 180.767922 228.742808 \nL 179.28259 229.298113 \nL 177.647984 229.769077 \nL 175.84917 230.143887 \nL 173.869875 230.408143 \nL 171.692433 230.544338 \nL 169.297764 230.531265 \nL 166.665382 230.34331 \nL 163.773466 229.949657 \nL 160.599007 229.313378 \nL 157.118061 228.390443 \nL 153.30617 227.128656 \nL 149.138958 225.466588 \nL 144.593009 223.332602 \nL 139.647091 220.644099 \nL 134.283816 217.307239 \nL 128.491852 213.21746 \nL 122.268816 208.261248 \nL 115.624918 202.319776 \nL 108.587521 195.27515 \nL 101.206532 187.020153 \nL 93.560602 177.472276 \nL 85.763806 166.592633 \nL 77.972128 154.409637 \nL 70.388748 141.046077 \nL 63.266623 126.746229 \nL 56.906354 111.897215 \nL 51.647023 97.036125 \nL 47.848068 82.83334 \nL 45.861248 70.043799 \nL 45.993813 59.424241 \nL 48.467055 51.625175 \nL 53.377502 47.079422 \nL 60.669985 45.917493 \nL 70.131 47.938618 \nL 81.406566 52.650528 \nL 94.042249 59.367582 \nL 107.53664 67.336555 \nL 135.180243 84.342739 \nL 148.529896 92.393565 \nL 161.179367 99.754006 \nL 172.953319 106.304254 \nL 183.755068 112.02014 \nL 193.550636 116.93856 \nL 202.352377 121.129949 \nL 210.204327 124.678645 \nL 217.17026 127.670562 \nL 228.745744 132.297047 \nL 237.697455 135.54266 \nL 244.600234 137.793031 \nL 249.937974 139.314017 \nL 254.095656 140.28707 \nL 257.368136 140.838103 \nL 259.974518 141.057981 \nL 262.073078 141.016232 \nL 263.774734 140.769926 \nL 265.15455 140.369223 \nL 266.261274 139.860632 \nL 267.125168 139.288642 \nL 268.003507 138.405074 \nL 268.411695 137.610038 \nL 268.43753 137.187702 \nL 268.279943 136.884653 \nL 267.95535 136.721502 \nL 267.485138 136.710969 \nL 266.565552 136.988687 \nL 265.483879 137.59876 \nL 264.357045 138.486653 \nL 263.302013 139.571344 \nL 262.4247 140.755556 \nL 261.81124 141.935435 \nL 261.522335 143.008539 \nL 261.527277 143.617353 \nL 261.693949 144.111223 \nL 262.01909 144.468242 \nL 262.493811 144.670324 \nL 263.103758 144.703963 \nL 263.829255 144.560955 \nL 265.078786 144.012576 \nL 266.428995 143.086702 \nL 267.758662 141.845797 \nL 268.936155 140.392825 \nL 269.831517 138.866187 \nL 270.21485 137.886685 \nL 270.3965 136.995358 \nL 270.359884 136.238971 \nL 270.099065 135.658418 \nL 269.619759 135.285787 \nL 268.939462 135.142119 \nL 268.086653 135.23615 \nL 267.099151 135.564147 \nL 266.021682 136.110736 \nL 264.344112 137.28289 \nL 262.741599 138.772113 \nL 261.368094 140.440106 \nL 260.34983 142.141242 \nL 259.91458 143.223167 \nL 259.695451 144.21667 \nL 259.702069 145.084713 \nL 259.936609 145.793476 \nL 260.394053 146.312934 \nL 261.062364 146.617483 \nL 261.922585 146.686824 \nL 262.948916 146.50706 \nL 264.108694 146.072015 \nL 265.362506 145.384722 \nL 266.66455 144.458925 \nL 267.963326 143.320367 \nL 269.202935 142.007577 \nL 270.325048 140.571827 \nL 271.271608 139.075899 \nL 271.988256 137.591463 \nL 272.428208 136.19503 \nL 272.556288 134.962638 \nL 272.352544 133.963979 \nL 271.814961 133.25662 \nL 271.425599 133.025636 \nL 270.425369 132.825275 \nL 269.168653 132.980136 \nL 267.71464 133.48018 \nL 266.132845 134.297268 \nL 264.498095 135.388827 \nL 262.885485 136.702148 \nL 261.36595 138.178602 \nL 260.002797 139.757266 \nL 258.849474 141.377653 \nL 257.948405 142.981503 \nL 257.330806 144.513785 \nL 257.017111 145.923107 \nL 257.017777 147.161768 \nL 257.334113 148.18581 \nL 257.95897 148.955111 \nL 258.877156 149.433848 \nL 260.065453 149.591364 \nL 261.492319 149.403618 \nL 263.117345 148.855222 \nL 264.890613 147.942074 \nL 266.752243 146.674355 \nL 268.63247 145.079694 \nL 270.452519 143.205817 \nL 272.126774 141.122133 \nL 273.56647 138.919265 \nL 274.684949 136.705942 \nL 275.404341 134.602698 \nL 275.663016 132.732674 \nL 275.606572 131.921573 \nL 275.422816 131.210429 \nL 275.111589 130.610342 \nL 274.674784 130.130551 \nL 274.116361 129.77819 \nL 273.442291 129.55815 \nL 272.660471 129.473025 \nL 271.780558 129.523098 \nL 270.813751 129.706451 \nL 268.670462 130.455224 \nL 266.340908 131.666943 \nL 263.941931 133.268259 \nL 261.587812 135.173728 \nL 259.382757 137.293689 \nL 257.415807 139.540138 \nL 255.758236 141.830373 \nL 254.463164 144.088572 \nL 253.56676 146.245871 \nL 253.090378 148.239591 \nL 253.042977 150.011978 \nL 253.180108 150.798176 \nL 253.423326 151.509028 \nL 253.771154 152.138233 \nL 254.221641 152.679624 \nL 254.772361 153.127214 \nL 255.420418 153.475182 \nL 256.162417 153.717933 \nL 256.994432 153.850142 \nL 257.911957 153.866816 \nL 258.909849 153.763416 \nL 261.122617 153.18103 \nL 263.576312 152.08011 \nL 266.199873 150.454242 \nL 268.905598 148.31992 \nL 271.588294 145.723449 \nL 274.126207 142.747067 \nL 276.384788 139.512519 \nL 278.223882 136.179872 \nL 278.943381 134.535515 \nL 279.508539 132.939783 \nL 279.905573 131.41878 \nL 280.122843 129.998265 \nL 280.151285 128.702851 \nL 279.984864 127.555232 \nL 279.62088 126.575448 \nL 279.060192 125.780225 \nL 278.307378 125.182441 \nL 277.370671 124.790789 \nL 276.261855 124.609586 \nL 274.995948 124.638815 \nL 273.590815 124.874338 \nL 272.066672 125.308287 \nL 270.445501 125.929553 \nL 268.750467 126.7244 \nL 265.233567 128.7706 \nL 261.701894 131.308323 \nL 258.325124 134.194707 \nL 255.245843 137.295196 \nL 252.574422 140.490419 \nL 250.388925 143.678028 \nL 248.738585 146.771315 \nL 248.12292 148.258988 \nL 247.649226 149.69598 \nL 247.318045 151.074335 \nL 247.129179 152.386388 \nL 247.081832 153.62469 \nL 247.174729 154.781917 \nL 247.40622 155.850773 \nL 247.774355 156.823929 \nL 248.27693 157.693975 \nL 248.911503 158.453376 \nL 249.675406 159.094442 \nL 250.565709 159.609345 \nL 251.579157 159.990103 \nL 252.712111 160.228641 \nL 253.960441 160.316875 \nL 255.319401 160.246788 \nL 256.783488 160.010596 \nL 258.34628 159.600918 \nL 260.000261 159.011021 \nL 261.736648 158.235092 \nL 263.545163 157.268599 \nL 265.413887 156.108683 \nL 267.329034 154.754581 \nL 269.274828 153.208134 \nL 271.233358 151.474319 \nL 273.184505 149.561724 \nL 275.105962 147.483084 \nL 276.973302 145.255716 \nL 278.76018 142.901825 \nL 280.438647 140.44867 \nL 281.979622 137.928546 \nL 283.353499 135.378431 \nL 284.530886 132.839414 \nL 285.483498 130.355721 \nL 286.185152 127.973483 \nL 286.612796 125.739187 \nL 286.747566 123.697937 \nL 286.575785 121.891628 \nL 286.089811 120.357137 \nL 285.28868 119.12471 \nL 284.178489 118.216666 \nL 284.178489 118.216666 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p23cf597c28\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:26:20.206402</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mb24ac46c13\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"45.049139\" xlink:href=\"#mb24ac46c13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(34.496795 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"122.886214\" xlink:href=\"#mb24ac46c13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −10 -->\n      <g transform=\"translate(112.333871 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"200.72329\" xlink:href=\"#mb24ac46c13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(197.54204 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"278.560366\" xlink:href=\"#mb24ac46c13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 10 -->\n      <g transform=\"translate(272.197866 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"356.397441\" xlink:href=\"#mb24ac46c13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 20 -->\n      <g transform=\"translate(350.034941 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_6\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m5581784fd9\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5581784fd9\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5581784fd9\" y=\"216.311763\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.110982)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5581784fd9\" y=\"171.407526\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.206745)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5581784fd9\" y=\"126.50329\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 130.302508)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5581784fd9\" y=\"81.599053\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 85.398271)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5581784fd9\" y=\"36.694816\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 40.494035)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p7da65669b6)\" d=\"M 208.506997 261.216 \nL 206.968083 261.158587 \nL 207.10164 261.125079 \nL 210.826133 260.687782 \nL 214.561913 260.146638 \nL 217.919225 259.52932 \nL 222.137095 258.570839 \nL 227.404399 257.083132 \nL 230.501981 256.056032 \nL 233.951507 254.778629 \nL 237.787888 253.191637 \nL 242.047903 251.222761 \nL 246.769517 248.784405 \nL 251.990789 245.771321 \nL 257.748244 242.058406 \nL 264.074499 237.499053 \nL 270.994942 231.924672 \nL 278.523153 225.146337 \nL 286.65479 216.959905 \nL 295.359663 207.156451 \nL 304.571802 195.540265 \nL 314.177641 181.95682 \nL 324.002781 166.332709 \nL 333.798667 148.727807 \nL 343.231554 129.396232 \nL 351.877532 108.846742 \nL 359.228679 87.884865 \nL 364.716207 67.611375 \nL 367.755293 49.349244 \nL 367.812273 34.481568 \nL 364.487828 24.211375 \nL 357.600106 19.296 \nL 347.244732 19.844165 \nL 333.808569 25.263424 \nL 317.925894 34.394772 \nL 300.384886 45.78865 \nL 282.011108 58.015815 \nL 263.560834 69.90503 \nL 245.649019 80.65379 \nL 228.71981 89.822395 \nL 213.052797 97.258956 \nL 198.790873 103.004449 \nL 185.975971 107.209511 \nL 174.583274 110.074849 \nL 164.549188 111.814737 \nL 155.791804 112.637883 \nL 148.224481 112.739188 \nL 141.763878 112.29745 \nL 136.33392 111.475674 \nL 131.866893 110.421963 \nL 128.302688 109.270048 \nL 125.586984 108.139152 \nL 123.668871 107.133216 \nL 122.498445 106.339652 \nL 122.02459 105.828179 \nL 122.193281 105.649929 \nL 122.946535 105.837224 \nL 124.22202 106.404231 \nL 125.953396 107.348449 \nL 128.071235 108.653023 \nL 133.181728 112.222028 \nL 138.994538 116.805602 \nL 145.003592 122.061702 \nL 150.796214 127.681181 \nL 153.513054 130.548583 \nL 156.072049 133.421749 \nL 158.452819 136.28158 \nL 160.64087 139.112736 \nL 162.626844 141.90308 \nL 164.405747 144.643106 \nL 165.97615 147.325389 \nL 167.339454 149.94412 \nL 168.499191 152.494676 \nL 169.460396 154.973287 \nL 170.229077 157.376725 \nL 170.811746 159.702087 \nL 171.215036 161.946587 \nL 171.445391 164.10741 \nL 171.50881 166.181566 \nL 171.410667 168.165791 \nL 171.155568 170.056411 \nL 170.747254 171.849265 \nL 170.188543 173.539589 \nL 169.481307 175.12191 \nL 168.626471 176.589935 \nL 167.624038 177.936442 \nL 166.473128 179.153141 \nL 165.172066 180.23055 \nL 163.718463 181.157861 \nL 162.109327 181.922784 \nL 160.341228 182.511434 \nL 158.410455 182.908165 \nL 156.313245 183.095503 \nL 154.046049 183.054057 \nL 151.605839 182.762486 \nL 148.990499 182.197569 \nL 146.199268 181.334391 \nL 143.233292 180.146649 \nL 140.096248 178.607177 \nL 136.795059 176.688721 \nL 133.340732 174.365021 \nL 129.74924 171.612277 \nL 126.042518 168.411019 \nL 122.249459 164.748443 \nL 118.406872 160.621176 \nL 114.560381 156.038423 \nL 110.765028 151.025367 \nL 107.085565 145.626466 \nL 103.596193 139.908423 \nL 100.379591 133.962163 \nL 97.525074 127.903309 \nL 95.125735 121.870553 \nL 93.274527 116.02134 \nL 92.059414 110.524655 \nL 91.557767 105.551108 \nL 91.830515 101.261015 \nL 92.916592 97.791739 \nL 94.828402 95.245988 \nL 97.548969 93.683031 \nL 101.031363 93.114157 \nL 105.200567 93.503393 \nL 109.957727 94.773262 \nL 115.186344 96.814529 \nL 120.759616 99.498276 \nL 126.54804 102.688185 \nL 132.426478 106.251435 \nL 138.28001 110.067055 \nL 144.00817 114.031137 \nL 149.527495 118.059207 \nL 154.772465 122.086121 \nL 159.695145 126.064386 \nL 164.263862 129.961552 \nL 168.461255 133.757181 \nL 172.282036 137.440013 \nL 175.730666 141.00536 \nL 178.819142 144.453028 \nL 181.564977 147.785678 \nL 183.989459 151.007595 \nL 186.116185 154.123856 \nL 187.969865 157.139763 \nL 189.575396 160.060481 \nL 190.957141 162.890866 \nL 192.138421 165.635363 \nL 193.141146 168.29798 \nL 194.690288 173.391563 \nL 195.745465 178.196092 \nL 196.419241 182.731464 \nL 196.797911 187.01432 \nL 196.944867 191.05895 \nL 196.904258 194.877927 \nL 196.704393 198.48236 \nL 196.36058 201.882014 \nL 195.877327 205.085241 \nL 195.24987 208.098763 \nL 194.465073 210.92729 \nL 193.501777 213.572927 \nL 192.330625 216.034311 \nL 190.913421 218.305285 \nL 189.202062 220.373009 \nL 187.137067 222.215161 \nL 185.949818 223.041121 \nL 184.645765 223.795898 \nL 183.213426 224.47194 \nL 181.640227 225.059982 \nL 179.912445 225.548715 \nL 178.015151 225.924393 \nL 175.932174 226.170357 \nL 173.646085 226.266497 \nL 171.13822 226.188617 \nL 168.388753 225.90772 \nL 165.376844 225.389194 \nL 162.080877 224.591941 \nL 158.478848 223.467451 \nL 154.548921 221.958868 \nL 150.270219 220.000162 \nL 145.62392 217.515516 \nL 140.59474 214.419139 \nL 135.172884 210.615771 \nL 129.356586 206.002326 \nL 123.15528 200.471116 \nL 116.593545 193.91535 \nL 109.71577 186.237603 \nL 102.591488 177.361949 \nL 95.321089 167.250214 \nL 88.041404 155.922319 \nL 80.930373 143.479621 \nL 74.209448 130.128582 \nL 68.142263 116.200191 \nL 63.02751 102.158212 \nL 59.184574 88.58848 \nL 56.930721 76.161876 \nL 56.550732 65.568276 \nL 58.261747 57.426968 \nL 62.178928 52.189128 \nL 68.28939 50.056731 \nL 76.441499 50.942658 \nL 86.354329 54.487441 \nL 97.646768 60.129523 \nL 109.880593 67.208367 \nL 122.608048 75.07 \nL 147.947413 91.013879 \nL 159.934742 98.375824 \nL 171.184763 105.073278 \nL 181.580389 111.043083 \nL 191.066605 116.289744 \nL 199.636416 120.858716 \nL 214.160282 128.234947 \nL 225.596739 133.736018 \nL 238.212005 139.497946 \nL 246.978214 143.203372 \nL 251.401738 144.838855 \nL 255.061482 145.926722 \nL 258.187748 146.527851 \nL 260.944625 146.683063 \nL 263.441448 146.424063 \nL 265.742801 145.781454 \nL 267.877105 144.790824 \nL 269.843928 143.497281 \nL 271.620689 141.958614 \nL 273.169041 140.246724 \nL 274.441401 138.447079 \nL 275.387716 136.655862 \nL 275.962458 134.974728 \nL 276.131379 133.503706 \nL 276.057519 132.875777 \nL 275.877419 132.332974 \nL 275.592334 131.883725 \nL 275.205025 131.534915 \nL 274.719746 131.291777 \nL 274.142205 131.157772 \nL 273.479476 131.134596 \nL 271.932831 131.418682 \nL 270.158327 132.123805 \nL 268.245529 133.207252 \nL 266.288282 134.609679 \nL 264.378142 136.26153 \nL 262.598994 138.088771 \nL 261.023236 140.017325 \nL 259.709696 141.976069 \nL 258.703076 143.898354 \nL 258.034505 145.722503 \nL 257.722816 147.391612 \nL 257.776055 148.852999 \nL 258.192867 150.057698 \nL 258.534876 150.549438 \nL 258.963498 150.960223 \nL 259.476283 151.284949 \nL 260.070282 151.518777 \nL 260.742033 151.657209 \nL 262.302196 151.631849 \nL 264.117613 151.181948 \nL 266.138677 150.291132 \nL 268.303986 148.957541 \nL 270.539363 147.198484 \nL 272.757711 145.055159 \nL 274.860192 142.596624 \nL 276.739444 139.921784 \nL 278.285079 137.157999 \nL 279.391562 134.455187 \nL 279.750893 133.177079 \nL 279.968124 131.974948 \nL 280.035949 130.86835 \nL 279.949254 129.875535 \nL 279.705382 129.012957 \nL 279.304289 128.294764 \nL 278.74866 127.73239 \nL 278.043932 127.33429 \nL 277.198208 127.105712 \nL 276.22209 127.04867 \nL 275.128441 127.162017 \nL 273.932079 127.441641 \nL 272.649363 127.880733 \nL 269.895689 129.198967 \nL 267.013655 131.02363 \nL 264.147862 133.245023 \nL 261.430357 135.748892 \nL 258.97317 138.425273 \nL 256.864647 141.173624 \nL 255.169184 143.904632 \nL 253.929318 146.539731 \nL 253.169224 149.009306 \nL 252.898607 151.250261 \nL 252.946824 152.26651 \nL 253.116275 153.203747 \nL 253.405562 154.054952 \nL 253.812891 154.81316 \nL 254.336094 155.471442 \nL 254.972642 156.022878 \nL 255.719616 156.460591 \nL 256.573683 156.777754 \nL 257.53104 156.967653 \nL 258.58735 157.023753 \nL 259.737644 156.939809 \nL 260.976237 156.709998 \nL 262.296598 156.329061 \nL 263.691258 155.792528 \nL 265.151646 155.096937 \nL 266.668012 154.240114 \nL 268.229265 153.221459 \nL 269.822906 152.0423 \nL 271.434933 150.706208 \nL 273.049796 149.219358 \nL 274.650392 147.590872 \nL 276.218126 145.8331 \nL 277.733021 143.961888 \nL 279.173939 141.996676 \nL 280.518837 139.96054 \nL 281.745174 137.880055 \nL 282.830368 135.784958 \nL 283.752372 133.707642 \nL 284.490297 131.682418 \nL 285.025103 129.744588 \nL 285.340311 127.929381 \nL 285.422715 126.270755 \nL 285.263007 124.800187 \nL 284.856324 123.545452 \nL 284.202651 122.529589 \nL 283.307051 121.770045 \nL 282.179672 121.278108 \nL 280.835552 121.058653 \nL 279.29423 121.11023 \nL 277.579125 121.425466 \nL 275.716798 121.991754 \nL 273.736116 122.7921 \nL 271.667314 123.806164 \nL 269.541109 125.011275 \nL 267.387832 126.383425 \nL 265.236678 127.898196 \nL 261.048104 131.260241 \nL 257.165302 134.918611 \nL 253.733805 138.719808 \nL 250.853871 142.538452 \nL 249.640851 144.422186 \nL 248.585509 146.274427 \nL 247.690415 148.085669 \nL 246.956713 149.847261 \nL 246.384405 151.551177 \nL 245.972608 153.189872 \nL 245.71978 154.756101 \nL 245.623918 156.242805 \nL 245.682727 157.642945 \nL 245.893756 158.949412 \nL 246.254486 160.154933 \nL 246.762413 161.251965 \nL 247.415065 162.232635 \nL 248.210018 163.088687 \nL 249.144857 163.811419 \nL 250.217127 164.391685 \nL 251.424245 164.819882 \nL 252.763384 165.085982 \nL 254.231328 165.179578 \nL 255.824304 165.090007 \nL 257.537776 164.806495 \nL 259.366217 164.318361 \nL 261.302854 163.615311 \nL 263.339395 162.687803 \nL 265.465741 161.527477 \nL 267.669666 160.127714 \nL 269.936531 158.484291 \nL 272.248997 156.596078 \nL 274.586753 154.465883 \nL 276.926366 152.101277 \nL 279.241118 149.515486 \nL 281.501072 146.728191 \nL 283.673197 143.766216 \nL 285.721733 140.66401 \nL 287.608758 137.463754 \nL 289.295002 134.215124 \nL 290.74087 130.974477 \nL 291.90777 127.803504 \nL 292.759551 124.767255 \nL 293.26416 121.931697 \nL 293.395252 119.360809 \nL 293.133788 117.113524 \nL 292.469396 115.240693 \nL 291.401379 113.782449 \nL 289.939299 112.766167 \nL 288.102974 112.205292 \nL 285.921957 112.099106 \nL 283.434432 112.433561 \nL 280.685642 113.182913 \nL 277.725999 114.312028 \nL 274.608986 115.779076 \nL 271.389014 117.538304 \nL 268.119477 119.542648 \nL 264.85098 121.745952 \nL 261.629961 124.104691 \nL 258.497682 126.579174 \nL 255.489607 129.134252 \nL 252.635149 131.739536 \nL 249.957714 134.369342 \nL 247.475018 137.002334 \nL 245.199556 139.621048 \nL 243.139213 142.211345 \nL 241.297934 144.761823 \nL 239.676408 147.263294 \nL 238.272741 149.708297 \nL 237.083066 152.090657 \nL 236.102134 154.405132 \nL 235.323801 156.647098 \nL 234.741457 158.812298 \nL 234.348396 160.896637 \nL 234.138091 162.896005 \nL 234.104446 164.806118 \nL 234.241948 166.622413 \nL 234.545814 168.339888 \nL 235.012056 169.953017 \nL 235.637532 171.455643 \nL 236.419955 172.840846 \nL 237.357867 174.100849 \nL 238.450599 175.226906 \nL 239.698188 176.209186 \nL 241.101269 177.036666 \nL 242.660952 177.697038 \nL 244.378655 178.17659 \nL 246.255904 178.460171 \nL 248.294096 178.531139 \nL 250.494217 178.371371 \nL 252.856507 177.961357 \nL 255.380071 177.280344 \nL 258.062427 176.30668 \nL 260.898969 175.018208 \nL 263.882396 173.392968 \nL 267.00203 171.410044 \nL 270.243114 169.050741 \nL 273.586035 166.300034 \nL 277.005563 163.148375 \nL 280.470097 159.593793 \nL 283.94103 155.644237 \nL 287.372265 151.320116 \nL 290.710005 146.656752 \nL 293.892958 141.706587 \nL 296.853061 136.540768 \nL 299.516804 131.249647 \nL 301.807327 125.941858 \nL 303.647237 120.741609 \nL 304.962206 115.78389 \nL 305.685077 111.207715 \nL 305.760325 107.147776 \nL 305.148393 103.725195 \nL 303.829489 101.038484 \nL 301.806325 99.155941 \nL 299.105377 98.110589 \nL 295.776412 97.898507 \nL 291.890199 98.480863 \nL 287.534623 99.789188 \nL 282.809606 101.733107 \nL 277.821394 104.209175 \nL 272.676851 107.10968 \nL 267.478298 110.3302 \nL 262.319276 113.775306 \nL 257.28156 117.362229 \nL 252.43334 121.022483 \nL 247.828592 124.701923 \nL 243.50737 128.359634 \nL 239.496802 131.966161 \nL 235.812558 135.501429 \nL 232.460551 138.952745 \nL 229.438721 142.312898 \nL 226.738759 145.578614 \nL 224.347702 148.749304 \nL 222.249334 151.826073 \nL 220.42539 154.811027 \nL 218.856541 157.706779 \nL 217.523201 160.516111 \nL 216.406146 163.241766 \nL 215.486979 165.886311 \nL 214.748471 168.452087 \nL 214.174793 170.941164 \nL 213.75166 173.355334 \nL 213.466404 175.696112 \nL 213.308006 177.96474 \nL 213.335826 182.289178 \nL 213.778805 186.333092 \nL 214.604161 190.096129 \nL 215.800494 193.572116 \nL 216.539571 195.198576 \nL 217.37583 196.747482 \nL 218.313059 198.215575 \nL 219.356098 199.59877 \nL 220.510815 200.892012 \nL 221.784088 202.089132 \nL 223.183792 203.182635 \nL 224.718779 204.163493 \nL 226.398856 205.020886 \nL 228.234757 205.741918 \nL 230.238092 206.31128 \nL 232.421272 206.710893 \nL 234.797394 206.919488 \nL 237.380095 206.912195 \nL 240.183315 206.660065 \nL 243.22099 206.129634 \nL 246.506638 205.282515 \nL 250.05279 204.075066 \nL 253.870264 202.458232 \nL 257.967211 200.377649 \nL 262.347926 197.774158 \nL 267.011346 194.584899 \nL 271.949244 190.745225 \nL 277.144041 186.191679 \nL 282.566305 180.866333 \nL 288.171957 174.722748 \nL 293.899297 167.733731 \nL 299.66612 159.900876 \nL 305.367211 151.26549 \nL 310.872755 141.920107 \nL 316.028292 132.018929 \nL 320.656972 121.785059 \nL 324.564867 111.511475 \nL 327.549942 101.552852 \nL 329.414779 92.305725 \nL 329.982677 84.176665 \nL 329.115597 77.540758 \nL 326.731572 72.69647 \nL 322.818644 69.825668 \nL 317.442255 68.968212 \nL 310.743927 70.018034 \nL 302.930668 72.742549 \nL 294.256646 76.820543 \nL 285.000169 81.889451 \nL 275.440078 87.590921 \nL 265.83513 93.606376 \nL 247.341402 105.616577 \nL 230.772273 116.645184 \nL 216.698127 126.258148 \nL 205.174488 134.492316 \nL 195.950128 141.558904 \nL 188.633034 147.683252 \nL 182.796807 153.043329 \nL 178.038513 157.75839 \nL 170.397634 165.484802 \nL 166.974663 168.51962 \nL 165.269309 169.820939 \nL 163.539803 170.970687 \nL 161.76787 171.961455 \nL 159.937347 172.78443 \nL 158.034029 173.429411 \nL 156.04559 173.884802 \nL 153.961537 174.13766 \nL 151.77323 174.173752 \nL 149.473948 173.977653 \nL 147.059047 173.532917 \nL 144.526166 172.822355 \nL 141.875503 171.828409 \nL 139.110175 170.533677 \nL 136.236625 168.921618 \nL 133.265105 166.977425 \nL 130.210178 164.689175 \nL 127.09125 162.049151 \nL 123.933105 159.055452 \nL 120.766349 155.713723 \nL 117.627749 152.039063 \nL 114.560389 148.057902 \nL 111.613543 143.809708 \nL 108.842202 139.348319 \nL 106.306122 134.742579 \nL 104.068392 130.076063 \nL 102.193401 125.445536 \nL 100.744303 120.958033 \nL 99.779966 116.726481 \nL 99.351629 112.863977 \nL 99.499498 109.47718 \nL 100.249552 106.659445 \nL 101.610945 104.484362 \nL 103.574339 103.000681 \nL 106.111369 102.229283 \nL 109.175478 102.162649 \nL 112.703992 102.766827 \nL 116.621389 103.985685 \nL 120.843267 105.746711 \nL 125.280765 107.967513 \nL 129.844901 110.562169 \nL 134.450488 113.446778 \nL 139.019323 116.543742 \nL 143.482531 119.784535 \nL 147.781981 123.111131 \nL 151.870863 126.476259 \nL 155.713546 129.842835 \nL 159.284899 133.182783 \nL 162.569215 136.475658 \nL 165.558933 139.707176 \nL 168.253259 142.867828 \nL 170.656812 145.951689 \nL 172.778331 148.955391 \nL 174.629526 151.877342 \nL 176.224063 154.717088 \nL 177.576719 157.474861 \nL 178.702673 160.151251 \nL 179.616945 162.746977 \nL 180.333961 165.262717 \nL 180.867224 167.699009 \nL 181.229071 170.056172 \nL 181.430524 172.334238 \nL 181.481175 174.532943 \nL 181.389141 176.651636 \nL 181.161044 178.689271 \nL 180.802015 180.644341 \nL 180.31573 182.514835 \nL 179.704444 184.298155 \nL 178.96904 185.99104 \nL 178.109088 187.589463 \nL 177.122893 189.088518 \nL 176.00756 190.482307 \nL 174.759048 191.763756 \nL 173.372246 192.924467 \nL 171.84103 193.954513 \nL 170.158357 194.842212 \nL 168.316352 195.573894 \nL 166.306434 196.133643 \nL 164.11946 196.502996 \nL 161.74592 196.660682 \nL 159.17618 196.582332 \nL 156.400794 196.240215 \nL 153.410897 195.603062 \nL 150.198727 194.635941 \nL 146.758243 193.300333 \nL 143.085917 191.554411 \nL 139.181704 189.353642 \nL 135.050195 186.651866 \nL 130.701997 183.402936 \nL 126.155313 179.563086 \nL 121.437711 175.094246 \nL 116.588052 169.968297 \nL 111.658408 164.172443 \nL 106.715901 157.715549 \nL 101.844143 150.635146 \nL 97.144008 143.004548 \nL 92.733344 134.939141 \nL 88.745168 126.6005 \nL 85.323948 118.196732 \nL 82.619623 109.977535 \nL 80.779357 102.2225 \nL 79.937218 95.222606 \nL 80.202669 89.25573 \nL 81.649087 84.559203 \nL 84.303944 81.303721 \nL 88.142426 79.573665 \nL 93.085943 79.358175 \nL 99.006179 80.555209 \nL 105.734401 82.987938 \nL 113.074733 86.429739 \nL 120.819365 90.632539 \nL 128.763441 95.353134 \nL 136.717784 100.373325 \nL 144.518142 105.512275 \nL 152.030579 110.631098 \nL 159.153317 115.631453 \nL 165.815669 120.450252 \nL 171.975001 125.052557 \nL 177.612602 129.42429 \nL 182.729139 133.565664 \nL 187.340221 137.485809 \nL 191.472365 141.198719 \nL 195.159546 144.720395 \nL 198.440349 148.066964 \nL 201.355724 151.253516 \nL 203.947272 154.293533 \nL 206.255982 157.19862 \nL 210.180817 162.640987 \nL 213.419545 167.63748 \nL 220.055065 178.349634 \nL 222.609753 181.928599 \nL 223.940136 183.558156 \nL 225.326734 185.075146 \nL 226.784075 186.473658 \nL 228.325995 187.746456 \nL 229.965788 188.884856 \nL 231.716322 189.878514 \nL 233.590105 190.715274 \nL 235.599333 191.380944 \nL 237.755865 191.859074 \nL 240.071181 192.130736 \nL 242.556242 192.17431 \nL 245.221287 191.965303 \nL 248.075567 191.47621 \nL 251.12693 190.676484 \nL 254.381346 189.532625 \nL 257.842235 188.008471 \nL 261.509703 186.065768 \nL 265.379558 183.665113 \nL 269.442211 180.767375 \nL 273.681333 177.335689 \nL 278.072436 173.338179 \nL 282.581307 168.751469 \nL 287.162435 163.565001 \nL 291.757556 157.786114 \nL 296.294486 151.445667 \nL 300.68648 144.603717 \nL 304.83245 137.354613 \nL 308.618331 129.83051 \nL 311.919957 122.202182 \nL 314.607662 114.67581 \nL 316.552713 107.484852 \nL 317.63542 100.876558 \nL 317.754331 95.09362 \nL 316.83572 90.352847 \nL 314.842084 86.823788 \nL 311.778361 84.6109 \nL 307.69465 83.742806 \nL 302.684703 84.171097 \nL 296.880074 85.778951 \nL 290.440627 88.397759 \nL 283.542758 91.828477 \nL 276.366974 95.863493 \nL 269.086435 100.305491 \nL 261.857725 104.981 \nL 254.814503 109.747913 \nL 248.064161 114.497593 \nL 241.687124 119.152932 \nL 235.738219 123.663852 \nL 230.249411 128.001813 \nL 225.233273 132.154304 \nL 220.686706 136.119894 \nL 216.594522 139.904235 \nL 212.932703 143.516998 \nL 209.67119 146.96971 \nL 206.776203 150.274293 \nL 204.212076 153.442157 \nL 201.942679 156.483716 \nL 199.932463 159.408142 \nL 196.55449 164.935884 \nL 193.827738 170.074269 \nL 190.496934 177.119753 \nL 187.569318 183.418995 \nL 185.615908 187.21036 \nL 183.531403 190.665894 \nL 181.217666 193.765248 \nL 179.945784 195.17128 \nL 178.581984 196.474094 \nL 177.114771 197.66652 \nL 175.532475 198.739908 \nL 173.823176 199.683887 \nL 171.974658 200.486122 \nL 169.974382 201.132028 \nL 167.809512 201.604454 \nL 165.466975 201.883328 \nL 162.933579 201.945316 \nL 160.196206 201.763442 \nL 157.242086 201.306759 \nL 154.059177 200.540033 \nL 150.636695 199.423559 \nL 146.965764 197.913131 \nL 143.040306 195.960261 \nL 138.858104 193.5128 \nL 134.422147 190.516061 \nL 129.74224 186.914685 \nL 124.836877 182.655417 \nL 119.735418 177.691009 \nL 114.480412 171.985436 \nL 109.130056 165.520577 \nL 103.760489 158.304148 \nL 98.467721 150.378716 \nL 93.368682 141.830828 \nL 88.600989 132.799191 \nL 84.320705 123.479922 \nL 80.697665 114.126789 \nL 77.907841 105.044089 \nL 76.122684 96.570535 \nL 75.495935 89.05384 \nL 76.148976 82.817858 \nL 78.156515 78.12671 \nL 81.535023 75.152342 \nL 86.236116 73.952585 \nL 92.146725 74.465171 \nL 99.096586 76.519662 \nL 106.872157 79.864543 \nL 115.234802 84.203267 \nL 123.940179 89.231132 \nL 132.755997 94.666236 \nL 141.475876 100.270221 \nL 157.980285 111.297886 \nL 172.541407 121.436951 \nL 184.797835 130.417533 \nL 190.061496 134.483417 \nL 194.782638 138.291268 \nL 198.999575 141.863605 \nL 202.756477 145.222687 \nL 206.100546 148.389 \nL 209.079877 151.380523 \nL 214.13234 156.897045 \nL 218.26862 161.861128 \nL 226.524151 172.116007 \nL 229.595983 175.362419 \nL 231.172931 176.789435 \nL 232.801476 178.07735 \nL 234.497875 179.218156 \nL 236.277045 180.202329 \nL 238.152686 181.018752 \nL 240.137343 181.654586 \nL 242.242455 182.095176 \nL 244.478303 182.323994 \nL 246.853921 182.322546 \nL 249.37694 182.070398 \nL 252.053321 181.545247 \nL 254.887042 180.723095 \nL 257.879666 179.578563 \nL 261.029798 178.085427 \nL 264.332475 176.217374 \nL 267.778422 173.949072 \nL 271.353212 171.257557 \nL 275.036394 168.124098 \nL 278.800548 164.536413 \nL 282.610369 160.491376 \nL 286.421867 155.998049 \nL 290.181768 151.080927 \nL 293.827278 145.783185 \nL 297.286341 140.169478 \nL 300.478573 134.327914 \nL 303.317042 128.370554 \nL 305.711035 122.431882 \nL 307.5698 116.664763 \nL 308.807227 111.233581 \nL 309.347259 106.304845 \nL 309.129539 102.035736 \nL 308.114821 98.561886 \nL 306.289415 95.986124 \nL 303.668059 94.369671 \nL 300.294636 93.7275 \nL 296.240527 94.028621 \nL 291.60066 95.201228 \nL 286.487659 97.141824 \nL 281.024827 99.726648 \nL 275.33876 102.823526 \nL 269.552459 106.302618 \nL 263.779512 110.044649 \nL 258.119849 113.946345 \nL 252.65707 117.922967 \nL 247.45738 121.908538 \nL 242.569789 125.854394 \nL 238.027295 129.726748 \nL 233.848701 133.503852 \nL 230.040767 137.173219 \nL 226.600449 140.729103 \nL 223.517073 144.170415 \nL 220.774325 147.499066 \nL 218.351972 150.718764 \nL 216.227346 153.834126 \nL 214.376525 156.850084 \nL 212.77529 159.77153 \nL 211.399849 162.603114 \nL 210.227372 165.349101 \nL 209.236362 168.013363 \nL 208.406904 170.599377 \nL 207.161636 175.548814 \nL 206.3673 180.218731 \nL 205.927099 184.626564 \nL 205.769134 188.786917 \nL 205.843038 192.712222 \nL 206.116601 196.413082 \nL 206.572823 199.898298 \nL 207.207594 203.174716 \nL 208.028046 206.24683 \nL 209.051598 209.116099 \nL 210.305613 211.779963 \nL 211.827646 214.230349 \nL 213.666189 216.451515 \nL 214.722584 217.46838 \nL 215.881872 218.416928 \nL 217.153784 219.291415 \nL 218.549015 220.084769 \nL 220.079285 220.788316 \nL 221.757382 221.391497 \nL 223.597215 221.881489 \nL 225.613842 222.242795 \nL 227.823473 222.456757 \nL 230.243454 222.500981 \nL 232.892187 222.348716 \nL 235.789005 221.968126 \nL 238.953931 221.321518 \nL 242.407353 220.364517 \nL 246.169502 219.045267 \nL 250.259765 217.303683 \nL 254.695693 215.070912 \nL 259.491701 212.269146 \nL 264.657348 208.812023 \nL 270.195116 204.605976 \nL 276.097611 199.552927 \nL 282.344139 193.554858 \nL 288.896618 186.520884 \nL 295.694906 178.377426 \nL 302.651737 169.081857 \nL 309.647688 158.639768 \nL 316.526821 147.125075 \nL 323.094013 134.701014 \nL 329.115315 121.638481 \nL 334.322873 108.326464 \nL 338.425959 95.267845 \nL 341.129163 83.054144 \nL 342.157562 72.315577 \nL 341.286993 63.648407 \nL 338.375437 57.530208 \nL 333.38943 54.241357 \nL 326.419148 53.814368 \nL 317.677108 56.027941 \nL 307.479082 60.449795 \nL 296.210308 66.5164 \nL 284.284068 73.626591 \nL 260.016991 88.854914 \nL 237.232216 103.012021 \nL 226.892744 109.221109 \nL 208.740151 119.711529 \nL 193.976361 127.875303 \nL 169.238597 141.127572 \nL 157.636394 147.17046 \nL 153.343436 149.165057 \nL 149.639142 150.570242 \nL 147.936998 151.061373 \nL 146.305466 151.413995 \nL 144.72717 151.628946 \nL 143.188119 151.706586 \nL 141.677447 151.647094 \nL 140.187185 151.450721 \nL 138.712058 151.118021 \nL 137.249302 150.650108 \nL 135.798498 150.048876 \nL 134.361426 149.317254 \nL 132.941924 148.45942 \nL 130.180412 146.389478 \nL 127.580211 143.905591 \nL 125.230073 141.105894 \nL 123.233847 138.121617 \nL 121.700779 135.113666 \nL 121.140623 133.65699 \nL 120.733509 132.263086 \nL 120.489036 130.95518 \nL 120.41473 129.755568 \nL 120.515663 128.684959 \nL 120.794148 127.761845 \nL 121.24955 127.001915 \nL 121.87811 126.417616 \nL 122.672978 126.017802 \nL 123.624266 125.807562 \nL 124.719295 125.78818 \nL 125.942863 125.957283 \nL 127.277659 126.309125 \nL 128.704725 126.834962 \nL 130.203928 127.523529 \nL 133.33552 129.334411 \nL 136.507317 131.621393 \nL 139.565572 134.256184 \nL 142.378015 137.114404 \nL 144.839244 140.082734 \nL 146.871851 143.061701 \nL 148.424296 145.965341 \nL 149.466829 148.719028 \nL 149.792352 150.018677 \nL 149.986671 151.256454 \nL 150.05009 152.424873 \nL 149.983442 153.516611 \nL 149.788006 154.52444 \nL 149.46543 155.441157 \nL 149.01769 156.259541 \nL 148.447071 156.972329 \nL 147.756152 157.5722 \nL 146.947845 158.051769 \nL 146.025414 158.403611 \nL 144.992565 158.620318 \nL 143.853505 158.694557 \nL 142.613065 158.619187 \nL 141.276802 158.387381 \nL 139.851147 157.992817 \nL 138.343537 157.429896 \nL 136.76259 156.69399 \nL 135.118235 155.781762 \nL 133.421874 154.691505 \nL 131.686533 153.423529 \nL 129.926971 151.980591 \nL 128.159749 150.368309 \nL 126.403275 148.595592 \nL 124.677785 146.675055 \nL 123.005229 144.623322 \nL 121.409065 142.461257 \nL 119.913967 140.214084 \nL 118.54541 137.911231 \nL 117.329132 135.586067 \nL 116.290488 133.275283 \nL 115.453702 131.018106 \nL 114.841057 128.855167 \nL 114.472016 126.827245 \nL 114.36237 124.973795 \nL 114.523444 123.331426 \nL 114.961408 121.932434 \nL 115.676774 120.803473 \nL 116.664094 119.964499 \nL 117.911928 119.42806 \nL 119.40307 119.199011 \nL 121.11505 119.274647 \nL 123.02084 119.645263 \nL 125.089805 120.295023 \nL 127.288734 121.203115 \nL 129.582939 122.345009 \nL 131.937375 123.693768 \nL 134.317644 125.221267 \nL 136.690898 126.8993 \nL 139.026587 128.700453 \nL 141.297001 130.59879 \nL 143.477658 132.570297 \nL 145.547484 134.593157 \nL 147.488861 136.64782 \nL 149.287528 138.716965 \nL 150.93238 140.785373 \nL 152.415186 142.839693 \nL 153.730262 144.868241 \nL 154.874125 146.860723 \nL 155.845121 148.807982 \nL 156.643081 150.701763 \nL 157.268991 152.534485 \nL 157.724696 154.299066 \nL 158.012624 155.988705 \nL 158.13557 157.596746 \nL 158.096502 159.116537 \nL 157.898416 160.541283 \nL 157.544222 161.863963 \nL 157.036673 163.077201 \nL 156.378324 164.173214 \nL 155.571523 165.1437 \nL 154.618439 165.979805 \nL 153.52112 166.672064 \nL 152.281577 167.210387 \nL 150.901912 167.584035 \nL 149.384455 167.781668 \nL 147.731957 167.791398 \nL 145.947798 167.600934 \nL 144.036233 167.197737 \nL 142.00268 166.569269 \nL 139.854024 165.703342 \nL 137.598961 164.588555 \nL 135.248348 163.214864 \nL 132.81559 161.574224 \nL 130.317019 159.661429 \nL 127.772232 157.475023 \nL 125.204426 155.018312 \nL 122.64062 152.300486 \nL 120.111808 149.337681 \nL 117.652921 146.154058 \nL 115.302604 142.7826 \nL 113.102762 139.265703 \nL 111.097807 135.655236 \nL 109.333598 132.012085 \nL 107.856055 128.404941 \nL 106.709509 124.908369 \nL 105.934766 121.600051 \nL 105.567069 118.55743 \nL 105.634055 115.853899 \nL 106.153859 113.554814 \nL 107.133563 111.713844 \nL 108.568163 110.369872 \nL 110.440192 109.544979 \nL 112.720034 109.243686 \nL 115.367022 109.453507 \nL 118.331171 110.146725 \nL 121.555419 111.283205 \nL 124.978221 112.81377 \nL 128.53619 114.683861 \nL 132.166661 116.836967 \nL 135.809951 119.217588 \nL 139.411194 121.773599 \nL 142.921666 124.457835 \nL 146.299639 127.228968 \nL 149.510722 130.051842 \nL 152.527824 132.897309 \nL 155.33078 135.741732 \nL 157.905742 138.566318 \nL 160.244423 141.35638 \nL 162.343266 144.100578 \nL 164.202588 146.790208 \nL 165.825757 149.41861 \nL 167.218428 151.980608 \nL 168.387848 154.472092 \nL 169.342264 156.889645 \nL 170.090398 159.230286 \nL 170.641036 161.491214 \nL 171.002674 163.669655 \nL 171.183258 165.762696 \nL 171.189976 167.767151 \nL 171.02911 169.679474 \nL 170.705936 171.495641 \nL 170.224677 173.211051 \nL 169.588463 174.820412 \nL 168.799348 176.317651 \nL 167.858334 177.695779 \nL 166.765432 178.946789 \nL 165.519724 180.061498 \nL 164.119475 181.029449 \nL 162.562245 181.838729 \nL 160.845032 182.475865 \nL 158.964458 182.925662 \nL 156.916975 183.171104 \nL 154.699128 183.19327 \nL 152.307851 182.971279 \nL 149.740843 182.482348 \nL 146.997016 181.701915 \nL 144.076993 180.603907 \nL 140.983737 179.161217 \nL 137.723246 177.346395 \nL 134.305337 175.132633 \nL 130.744561 172.495145 \nL 127.061156 169.412904 \nL 123.282045 165.870861 \nL 119.441841 161.862618 \nL 115.583763 157.393487 \nL 111.76035 152.48385 \nL 108.033854 147.172576 \nL 104.476152 141.520096 \nL 101.168008 135.610767 \nL 98.19746 129.553841 \nL 95.657253 123.482449 \nL 93.641192 117.550072 \nL 92.239521 111.924093 \nL 91.533456 106.77656 \nL 91.589308 102.27257 \nL 92.452758 98.55762 \nL 94.143945 95.745402 \nL 96.654067 93.907943 \nL 99.944143 93.069791 \nL 103.9462 93.207222 \nL 108.566945 94.252762 \nL 113.693531 96.104096 \nL 119.200694 98.635714 \nL 124.958423 101.711438 \nL 130.839288 105.19596 \nL 136.724703 108.963925 \nL 142.509646 112.906099 \nL 148.105659 116.932396 \nL 153.442201 120.972413 \nL 158.466608 124.974087 \nL 163.14297 128.901195 \nL 167.450322 132.730424 \nL 171.380431 136.448388 \nL 174.935455 140.048954 \nL 178.125692 143.531001 \nL 180.96748 146.896635 \nL 183.48138 150.14989 \nL 185.690622 153.295768 \nL 187.619844 156.339613 \nL 189.294087 159.286702 \nL 190.738028 162.142036 \nL 191.975409 164.910198 \nL 193.028642 167.595349 \nL 193.918551 170.201208 \nL 195.282918 175.188056 \nL 196.199566 179.893525 \nL 196.771707 184.336311 \nL 197.077437 188.532226 \nL 197.173337 192.495023 \nL 197.098123 196.236883 \nL 196.713875 201.458792 \nL 196.290768 204.692935 \nL 195.732809 207.738266 \nL 195.029577 210.600478 \nL 194.162956 213.283026 \nL 193.107088 215.786428 \nL 191.827881 218.107194 \nL 190.282074 220.23628 \nL 188.415904 222.156796 \nL 187.342598 223.030625 \nL 186.163402 223.840671 \nL 184.867835 224.580884 \nL 183.444389 225.2438 \nL 181.880459 225.82026 \nL 180.162283 226.299071 \nL 178.27488 226.666615 \nL 176.20201 226.906376 \nL 173.926155 226.998396 \nL 171.428538 226.918643 \nL 168.689186 226.638282 \nL 165.687063 226.122865 \nL 162.400324 225.331431 \nL 158.806665 224.215569 \nL 154.883871 222.718463 \nL 150.610606 220.774017 \nL 145.967488 218.306198 \nL 140.938549 215.228782 \nL 135.513182 211.44579 \nL 129.688667 206.853008 \nL 123.473331 201.341129 \nL 116.890529 194.801126 \nL 109.983329 187.132608 \nL 102.81989 178.255909 \nL 95.499318 168.12838 \nL 88.157405 156.764907 \nL 80.971519 144.26169 \nL 74.163291 130.82061 \nL 67.997602 116.76963 \nL 62.775821 102.572321 \nL 58.821584 88.818394 \nL 56.458091 76.18745 \nL 55.977414 65.382951 \nL 57.604711 57.041243 \nL 61.462849 51.631353 \nL 67.545088 49.370314 \nL 75.703337 50.179945 \nL 85.65686 53.701689 \nL 97.021363 59.367152 \nL 109.352727 66.50333 \nL 122.195716 74.441635 \nL 147.789686 90.544579 \nL 159.903349 97.970931 \nL 171.273083 104.716673 \nL 181.779249 110.717603 \nL 191.365517 115.978979 \nL 200.024475 120.54795 \nL 214.69494 127.888527 \nL 226.239628 133.320154 \nL 235.235255 137.342357 \nL 245.16162 141.498445 \nL 250.081127 143.344425 \nL 254.066346 144.610389 \nL 257.385235 145.378926 \nL 260.233531 145.705159 \nL 262.747059 145.629703 \nL 265.012878 145.187819 \nL 267.078874 144.416019 \nL 268.961972 143.356879 \nL 270.655327 142.062257 \nL 272.134896 140.595012 \nL 273.365791 139.028921 \nL 274.308587 137.446813 \nL 274.925574 135.936684 \nL 275.186764 134.586254 \nL 275.07518 133.476444 \nL 274.87889 133.033575 \nL 274.59094 132.674839 \nL 274.214395 132.405672 \nL 273.753553 132.230085 \nL 272.602093 132.168256 \nL 271.193206 132.491774 \nL 269.597235 133.180856 \nL 267.893117 134.197027 \nL 266.162779 135.487923 \nL 264.485837 136.992365 \nL 262.935221 138.644952 \nL 261.574024 140.379761 \nL 260.453768 142.132814 \nL 259.613789 143.843514 \nL 259.081581 145.45529 \nL 258.873656 146.915614 \nL 258.996624 148.175857 \nL 259.448176 149.191103 \nL 260.217794 149.920267 \nL 261.287054 150.326582 \nL 262.629466 150.378681 \nL 264.209934 150.052379 \nL 265.983956 149.333159 \nL 267.896761 148.219332 \nL 269.882706 146.725698 \nL 271.86537 144.887203 \nL 273.758652 142.761993 \nL 275.469422 140.43294 \nL 276.902018 138.006591 \nL 277.964541 135.608729 \nL 278.576689 133.376073 \nL 278.694056 132.364621 \nL 278.678282 131.444744 \nL 278.526271 130.631148 \nL 278.237081 129.936834 \nL 277.812011 129.372738 \nL 277.254631 128.947462 \nL 276.570791 128.667067 \nL 275.768492 128.534989 \nL 274.857735 128.552008 \nL 273.850298 128.716349 \nL 272.759463 129.023868 \nL 270.386254 130.041461 \nL 267.861798 131.534426 \nL 265.312401 133.413638 \nL 262.857371 135.581322 \nL 260.601733 137.939281 \nL 258.631914 140.394382 \nL 257.014223 142.86137 \nL 255.795558 145.263532 \nL 255.005582 147.531946 \nL 254.659568 149.604012 \nL 254.654587 150.548162 \nL 254.761231 151.421754 \nL 254.978547 152.218033 \nL 255.305116 152.930367 \nL 255.739083 153.552224 \nL 256.278161 154.077195 \nL 256.919627 154.498986 \nL 257.660306 154.811438 \nL 258.496535 155.008608 \nL 259.42411 155.084792 \nL 260.438227 155.034637 \nL 261.533409 154.853252 \nL 262.703415 154.536345 \nL 263.941165 154.080381 \nL 266.586766 152.742122 \nL 269.393218 150.833344 \nL 272.264801 148.375622 \nL 275.086025 145.425578 \nL 277.722948 142.081999 \nL 280.027857 138.489603 \nL 281.007947 136.657446 \nL 281.848051 134.836612 \nL 282.530459 133.055647 \nL 283.038987 131.343962 \nL 283.359518 129.731021 \nL 283.480567 128.245413 \nL 283.393783 126.91392 \nL 283.094379 125.760601 \nL 282.581471 124.805951 \nL 281.85828 124.0662 \nL 280.932187 123.552809 \nL 279.814621 123.272175 \nL 278.520793 123.225599 \nL 277.069276 123.409494 \nL 275.48147 123.815783 \nL 273.780966 124.432491 \nL 271.99284 125.244469 \nL 270.142953 126.234132 \nL 268.25725 127.382261 \nL 264.478814 130.073185 \nL 260.844554 133.156395 \nL 257.511417 136.48168 \nL 254.60009 139.917665 \nL 252.194835 143.353941 \nL 250.347566 146.699002 \nL 249.642106 148.312928 \nL 249.084236 149.876227 \nL 248.674297 151.380866 \nL 248.41186 152.819188 \nL 248.295893 154.183767 \nL 248.324913 155.467297 \nL 248.497111 156.662489 \nL 248.81043 157.762013 \nL 249.262647 158.758382 \nL 249.8514 159.643932 \nL 250.574197 160.410764 \nL 251.428406 161.050726 \nL 252.41119 161.555382 \nL 253.519462 161.916063 \nL 254.749766 162.123896 \nL 256.098165 162.169889 \nL 257.560094 162.04504 \nL 259.130184 161.740501 \nL 260.802083 161.247802 \nL 262.56824 160.559098 \nL 264.419689 159.667528 \nL 266.345819 158.56761 \nL 268.334132 157.255713 \nL 270.370049 155.730596 \nL 272.436698 153.993988 \nL 274.514771 152.051233 \nL 276.582423 149.911925 \nL 278.615267 147.590521 \nL 280.586455 145.106882 \nL 282.466925 142.486677 \nL 284.225752 139.761588 \nL 285.830712 136.969231 \nL 287.248989 134.152755 \nL 288.448083 131.360038 \nL 289.396862 128.642486 \nL 290.066739 126.053432 \nL 290.432907 123.646182 \nL 290.475582 121.471844 \nL 290.181137 119.577036 \nL 289.54306 118.001746 \nL 288.562644 116.777441 \nL 287.249323 115.925672 \nL 285.620601 115.457262 \nL 283.701598 115.372214 \nL 281.524151 115.6603 \nL 279.125659 116.302215 \nL 276.547616 117.271185 \nL 273.834049 118.534913 \nL 271.029905 120.057598 \nL 268.179538 121.801795 \nL 265.32537 123.730135 \nL 262.506784 125.80668 \nL 259.75929 127.997925 \nL 257.113971 130.273439 \nL 254.59721 132.606209 \nL 252.230648 134.972698 \nL 250.031337 137.352694 \nL 248.012055 139.729042 \nL 246.181728 142.087283 \nL 244.545917 144.415266 \nL 243.107331 146.702753 \nL 241.866348 148.941036 \nL 240.821514 151.122594 \nL 239.970004 153.240782 \nL 239.308032 155.289568 \nL 238.831223 157.263319 \nL 238.534918 159.156577 \nL 238.414433 160.963888 \nL 238.465259 162.679683 \nL 238.683221 164.298106 \nL 239.064598 165.81292 \nL 239.606182 167.217385 \nL 240.305325 168.504152 \nL 241.15993 169.66518 \nL 242.168425 170.69162 \nL 243.329698 171.573752 \nL 244.643004 172.300887 \nL 246.107835 172.861342 \nL 247.723774 173.242373 \nL 249.490284 173.430182 \nL 251.4065 173.409943 \nL 253.470941 173.165906 \nL 255.681198 172.681549 \nL 258.033577 171.939846 \nL 260.522695 170.923632 \nL 263.141005 169.616121 \nL 265.878303 168.001587 \nL 268.721203 166.066232 \nL 271.652557 163.799283 \nL 274.650897 161.194255 \nL 277.689923 158.250472 \nL 280.73802 154.9747 \nL 283.757954 151.382922 \nL 286.706737 147.502029 \nL 289.535756 143.371379 \nL 292.191274 139.043926 \nL 294.615368 134.586683 \nL 296.747311 130.080328 \nL 298.52552 125.617637 \nL 299.889979 121.3006 \nL 300.785111 117.236258 \nL 301.162874 113.531329 \nL 300.985936 110.286108 \nL 300.230574 107.588041 \nL 298.889053 105.505954 \nL 296.971104 104.085345 \nL 294.504341 103.345757 \nL 291.533451 103.280253 \nL 288.118207 103.857315 \nL 284.330447 105.024698 \nL 280.250358 106.714756 \nL 275.962369 108.850373 \nL 271.551149 111.350833 \nL 267.097915 114.136947 \nL 262.677453 117.135022 \nL 258.355904 120.279547 \nL 254.189384 123.514618 \nL 250.223392 126.794279 \nL 246.492898 130.082041 \nL 243.02293 133.349908 \nL 239.829536 136.577134 \nL 236.920964 139.748878 \nL 234.298943 142.854955 \nL 231.959954 145.888694 \nL 229.896443 148.845967 \nL 228.097915 151.724443 \nL 226.551909 154.522984 \nL 225.244813 157.241179 \nL 224.162553 159.879018 \nL 223.291143 162.436674 \nL 222.617115 164.9143 \nL 222.127844 167.311923 \nL 221.811795 169.629353 \nL 221.658687 171.866129 \nL 221.659602 174.021444 \nL 221.807042 176.094101 \nL 222.094959 178.082463 \nL 222.518745 179.984372 \nL 223.075216 181.797095 \nL 223.762573 183.517251 \nL 224.580352 185.140692 \nL 225.529374 186.662401 \nL 226.611684 188.076373 \nL 227.830485 189.375465 \nL 229.190065 190.55122 \nL 230.695722 191.593698 \nL 232.353669 192.49125 \nL 234.170931 193.230312 \nL 236.155206 193.795148 \nL 238.314707 194.167605 \nL 240.657968 194.326851 \nL 243.193573 194.249142 \nL 245.929847 193.907612 \nL 248.874447 193.272121 \nL 252.033847 192.309218 \nL 255.412722 190.982273 \nL 259.013162 189.251806 \nL 262.833747 187.076192 \nL 266.868414 184.412735 \nL 271.105176 181.219365 \nL 275.524613 177.456984 \nL 280.098243 173.092626 \nL 284.786776 168.103551 \nL 289.538376 162.482256 \nL 294.287096 156.242291 \nL 298.951667 149.424571 \nL 303.435025 142.103634 \nL 307.624798 134.39293 \nL 311.395254 126.448029 \nL 314.61098 118.466266 \nL 317.132592 110.681494 \nL 318.824448 103.352985 \nL 319.564088 96.74834 \nL 319.252629 91.121384 \nL 317.825006 86.687899 \nL 315.258596 83.602703 \nL 311.578642 81.942638 \nL 306.859437 81.698935 \nL 301.220507 82.78091 \nL 294.818235 85.03025 \nL 287.833953 88.242891 \nL 280.460373 92.193869 \nL 272.888143 96.660654 \nL 265.294341 101.441407 \nL 257.833873 106.366494 \nL 250.634325 111.303316 \nL 243.793973 116.155722 \nL 237.382441 120.859846 \nL 231.443188 125.378088 \nL 225.997116 129.692762 \nL 221.046621 133.800177 \nL 216.57963 137.705718 \nL 212.573323 141.420051 \nL 208.997384 144.956364 \nL 205.816699 148.328507 \nL 202.993531 151.549841 \nL 200.489197 154.632545 \nL 198.265322 157.587334 \nL 194.512049 163.148229 \nL 191.459979 168.288165 \nL 187.688304 175.281927 \nL 184.321952 181.459574 \nL 182.052167 185.122252 \nL 179.617695 188.400473 \nL 178.304435 189.885657 \nL 176.909959 191.260904 \nL 175.421761 192.51915 \nL 173.827506 193.651897 \nL 172.114927 194.648981 \nL 170.271764 195.498379 \nL 168.285728 196.185935 \nL 166.144517 196.695113 \nL 163.835874 197.006705 \nL 161.347699 197.098537 \nL 158.668238 196.945192 \nL 155.786356 196.51777 \nL 152.69192 195.783698 \nL 149.376278 194.706657 \nL 145.832925 193.246705 \nL 142.05829 191.360628 \nL 138.052766 189.002673 \nL 133.821898 186.125773 \nL 129.377831 182.683398 \nL 124.740978 178.632229 \nL 119.94184 173.935779 \nL 115.022975 168.569065 \nL 110.040955 162.524352 \nL 105.068153 155.817897 \nL 100.19405 148.497217 \nL 95.525774 140.648259 \nL 91.187435 132.401364 \nL 87.317746 123.934568 \nL 84.065595 115.472559 \nL 81.583288 107.279742 \nL 80.01744 99.646173 \nL 79.497977 92.8666 \nL 80.126218 87.214035 \nL 81.963448 82.911592 \nL 85.021782 80.10715 \nL 89.259034 78.856209 \nL 94.578903 79.116784 \nL 100.836885 80.757818 \nL 107.851267 83.579355 \nL 115.417559 87.339972 \nL 123.324193 91.785704 \nL 131.367213 96.675351 \nL 139.362168 101.798559 \nL 147.1523 106.985695 \nL 154.612745 112.110172 \nL 161.651298 117.08538 \nL 168.206519 121.858331 \nL 174.244155 126.402173 \nL 179.752688 130.708856 \nL 184.738684 134.782774 \nL 189.222382 138.635745 \nL 193.233779 142.283323 \nL 196.809336 145.742271 \nL 199.989298 149.028903 \nL 202.815618 152.158173 \nL 205.330387 155.143213 \nL 209.587908 160.723217 \nL 213.06678 165.835505 \nL 221.289662 178.667585 \nL 223.926028 182.117402 \nL 225.30875 183.675691 \nL 226.755076 185.115914 \nL 228.279372 186.431271 \nL 229.89533 187.613531 \nL 231.616102 188.652895 \nL 233.454396 189.537819 \nL 235.42251 190.2548 \nL 237.532369 190.788182 \nL 239.795449 191.11994 \nL 242.222691 191.229479 \nL 244.824321 191.093466 \nL 247.609592 190.685683 \nL 250.586431 189.976984 \nL 253.760969 188.93538 \nL 257.136961 187.526281 \nL 260.715028 185.713009 \nL 264.49179 183.457648 \nL 268.458788 180.722307 \nL 272.601269 177.470962 \nL 276.896822 173.671923 \nL 281.313913 169.301064 \nL 285.810365 164.345794 \nL 290.331938 158.809805 \nL 294.811168 152.718303 \nL 299.16664 146.123481 \nL 303.303027 139.109524 \nL 307.112165 131.796304 \nL 310.475485 124.340788 \nL 313.268071 116.934897 \nL 315.364449 109.798839 \nL 316.645977 103.169442 \nL 317.00948 97.28376 \nL 316.376325 92.359221 \nL 314.700867 88.573115 \nL 311.977041 86.044408 \nL 308.24189 84.821611 \nL 303.575225 84.879047 \nL 298.09509 86.122451 \nL 291.949592 88.402881 \nL 285.306128 91.535955 \nL 278.339528 95.322848 \nL 271.220731 99.569227 \nL 264.107213 104.099819 \nL 257.13604 108.767397 \nL 250.419774 113.456336 \nL 244.04502 118.081955 \nL 238.07314 122.586947 \nL 232.542484 126.936437 \nL 227.471513 131.112695 \nL 222.862321 135.110249 \nL 218.704133 138.931753 \nL 214.976551 142.584779 \nL 211.652409 146.079458 \nL 208.70016 149.42684 \nL 206.085815 152.637862 \nL 203.774458 155.722733 \nL 201.731383 158.690592 \nL 199.922926 161.549438 \nL 196.883563 166.966333 \nL 194.424335 172.015859 \nL 191.400391 178.961126 \nL 188.712075 185.195858 \nL 186.901102 188.964894 \nL 184.956408 192.417041 \nL 182.787216 195.535413 \nL 181.591249 196.960819 \nL 180.306609 198.29056 \nL 178.922306 199.518346 \nL 177.427091 200.636524 \nL 175.809368 201.635861 \nL 174.057142 202.5053 \nL 172.157973 203.231681 \nL 170.098981 203.79942 \nL 167.866867 204.190168 \nL 165.448006 204.382422 \nL 162.828571 204.351131 \nL 159.994761 204.067289 \nL 156.933102 203.497545 \nL 153.630867 202.603877 \nL 150.076657 201.343356 \nL 146.261143 199.668123 \nL 142.178021 197.52565 \nL 137.825218 194.859427 \nL 133.206373 191.610258 \nL 128.332633 187.718389 \nL 123.224753 183.126687 \nL 117.915491 177.785119 \nL 112.452222 171.656754 \nL 106.899616 164.725369 \nL 101.342176 157.004507 \nL 95.886249 148.547603 \nL 90.660987 139.458154 \nL 85.817793 129.89836 \nL 81.527392 120.094127 \nL 77.974033 110.333729 \nL 75.346329 100.957667 \nL 73.824767 92.33798 \nL 73.566561 84.847289 \nL 74.689309 78.820408 \nL 77.255786 74.514419 \nL 81.262439 72.07506 \nL 86.634248 71.517491 \nL 93.227568 72.726482 \nL 100.841056 75.476657 \nL 109.233141 79.467856 \nL 118.143062 84.367283 \nL 127.312013 89.849202 \nL 136.501274 95.625323 \nL 154.158925 107.188493 \nL 169.965519 117.89454 \nL 183.397371 127.333185 \nL 194.404556 135.520315 \nL 199.065792 139.198846 \nL 203.2223 142.63514 \nL 206.92313 145.853519 \nL 213.161089 151.71963 \nL 218.17746 156.930919 \nL 224.190896 163.693799 \nL 227.629021 167.551558 \nL 230.893554 170.890443 \nL 232.522545 172.357945 \nL 234.177553 173.684025 \nL 235.877139 174.861806 \nL 237.638041 175.882987 \nL 239.475316 176.737763 \nL 241.402459 177.414811 \nL 243.431473 177.901215 \nL 245.57288 178.182449 \nL 247.83567 178.242368 \nL 250.227192 178.063269 \nL 252.752973 177.625993 \nL 255.416444 176.91013 \nL 258.218614 175.89437 \nL 261.157624 174.556976 \nL 264.228254 172.876519 \nL 267.421325 170.832785 \nL 270.723041 168.408021 \nL 274.114287 165.588462 \nL 277.569906 162.366186 \nL 281.058023 158.74127 \nL 284.53946 154.724188 \nL 287.967347 150.338341 \nL 291.287019 145.622483 \nL 294.436315 140.632817 \nL 297.346461 135.444388 \nL 299.943552 130.151305 \nL 302.150787 124.865528 \nL 303.891487 119.713696 \nL 305.092786 114.831963 \nL 305.689842 110.358909 \nL 305.630309 106.426928 \nL 304.878569 103.152997 \nL 303.419362 100.629858 \nL 301.260243 98.918815 \nL 298.432516 98.045411 \nL 294.990385 97.998459 \nL 291.008318 98.732771 \nL 286.576907 100.175032 \nL 281.797619 102.231784 \nL 276.777072 104.798365 \nL 271.621402 107.767422 \nL 266.431266 111.036214 \nL 261.297888 114.511845 \nL 256.300278 118.11451 \nL 251.503698 121.778747 \nL 246.959218 125.453253 \nL 242.704166 129.099598 \nL 238.763242 132.690375 \nL 235.150034 136.207135 \nL 231.86875 139.638392 \nL 228.915986 142.977817 \nL 226.282437 146.222722 \nL 223.954438 149.372891 \nL 221.915334 152.429643 \nL 220.146633 155.395189 \nL 218.628953 158.272175 \nL 217.342792 161.063359 \nL 216.269107 163.771439 \nL 215.389764 166.398915 \nL 214.687841 168.948066 \nL 214.147851 171.420879 \nL 213.755868 173.819075 \nL 213.499593 176.144102 \nL 213.368368 178.397125 \nL 213.446531 182.690499 \nL 213.936757 186.703015 \nL 214.808766 190.433556 \nL 215.384323 192.19114 \nL 216.05346 193.875014 \nL 216.818036 195.483069 \nL 217.681019 197.012563 \nL 218.64645 198.460015 \nL 219.719417 199.821078 \nL 220.906039 201.090394 \nL 222.213436 202.261443 \nL 223.649725 203.326313 \nL 225.223993 204.275499 \nL 226.946276 205.09763 \nL 228.827523 205.77917 \nL 230.879541 206.304073 \nL 233.114903 206.653414 \nL 235.546837 206.804977 \nL 238.189034 206.73281 \nL 241.05542 206.406778 \nL 244.159803 205.79212 \nL 247.515414 204.849067 \nL 251.134316 203.53255 \nL 255.026604 201.792113 \nL 259.199394 199.572116 \nL 263.655553 196.812404 \nL 268.392114 193.449605 \nL 273.398364 189.419317 \nL 278.653585 184.659444 \nL 284.124463 179.11495 \nL 289.76225 172.744321 \nL 295.499789 165.527763 \nL 301.248715 157.477199 \nL 306.897176 148.647392 \nL 312.308632 139.14726 \nL 317.322379 129.149642 \nL 321.756626 118.896965 \nL 325.414726 108.699907 \nL 328.095245 98.926147 \nL 329.605642 89.977143 \nL 329.779002 82.253369 \nL 328.491981 76.111292 \nL 325.681513 71.818955 \nL 321.357061 69.519459 \nL 315.60573 69.211178 \nL 308.588282 70.75053 \nL 300.526237 73.877077 \nL 291.681936 78.254891 \nL 282.335105 83.520001 \nL 272.759864 89.323735 \nL 263.205578 95.364182 \nL 244.960539 107.270252 \nL 228.750735 118.101543 \nL 215.062279 127.510665 \nL 203.897159 135.571121 \nL 194.97756 142.500921 \nL 187.903066 148.519554 \nL 182.249155 153.796038 \nL 175.578841 160.548426 \nL 170.108522 166.046662 \nL 166.701882 169.021381 \nL 164.995347 170.29131 \nL 163.259291 171.408289 \nL 161.475997 172.364532 \nL 159.629807 173.150866 \nL 157.706981 173.756706 \nL 155.695612 174.170078 \nL 153.585615 174.377655 \nL 151.368748 174.364807 \nL 149.038708 174.115743 \nL 146.59129 173.613666 \nL 144.024619 172.841095 \nL 141.339454 171.780249 \nL 138.539556 170.413615 \nL 135.632116 168.724679 \nL 132.628253 166.698897 \nL 129.543537 164.324862 \nL 126.398539 161.595705 \nL 123.219334 158.510739 \nL 120.037977 155.077298 \nL 116.892786 151.312639 \nL 113.828469 147.245856 \nL 110.89595 142.919551 \nL 108.151777 138.391057 \nL 105.657089 133.732969 \nL 103.476042 129.032587 \nL 101.673641 124.390104 \nL 100.31305 119.915345 \nL 99.452443 115.722994 \nL 99.14157 111.926611 \nL 99.418296 108.631748 \nL 100.305493 105.929004 \nL 101.808564 103.887686 \nL 103.913962 102.55108 \nL 106.588943 101.933832 \nL 109.782712 102.022049 \nL 113.428801 102.775803 \nL 117.448562 104.13389 \nL 121.755354 106.020014 \nL 126.259029 108.349366 \nL 130.870287 111.034997 \nL 135.504475 113.993195 \nL 140.084656 117.147424 \nL 144.543755 120.43087 \nL 148.825791 123.787553 \nL 152.886261 127.172338 \nL 156.691862 130.550176 \nL 160.219678 133.894843 \nL 163.45604 137.187471 \nL 166.395177 140.415083 \nL 169.037824 143.569226 \nL 171.389853 146.644778 \nL 173.461008 149.638982 \nL 175.263763 152.55069 \nL 176.812345 155.379764 \nL 178.121908 158.126677 \nL 179.207857 160.79218 \nL 180.085318 163.377098 \nL 180.768724 165.882183 \nL 181.271507 168.308035 \nL 181.605884 170.655014 \nL 181.782706 172.92318 \nL 181.811374 175.112283 \nL 181.699795 177.221709 \nL 181.454372 179.250428 \nL 181.080017 181.196951 \nL 180.580183 183.059282 \nL 179.956913 184.834843 \nL 179.210884 186.520388 \nL 178.34146 188.111899 \nL 177.346756 189.604492 \nL 176.22369 190.992264 \nL 174.968041 192.268146 \nL 173.574515 193.423735 \nL 172.036817 194.449083 \nL 170.347724 195.332487 \nL 168.499183 196.06023 \nL 166.482432 196.61633 \nL 164.288139 196.982239 \nL 161.906594 197.13656 \nL 159.327953 197.054762 \nL 156.542549 196.708911 \nL 153.541288 196.067463 \nL 150.316164 195.095152 \nL 146.860879 193.753043 \nL 143.171654 191.998791 \nL 139.248186 189.787261 \nL 135.09483 187.071576 \nL 130.721988 183.804754 \nL 126.147704 179.942147 \nL 121.399482 175.444701 \nL 116.516211 170.283336 \nL 111.550179 164.444367 \nL 106.568908 157.935964 \nL 101.656679 150.795299 \nL 96.915338 143.095866 \nL 92.464041 134.953933 \nL 88.43745 126.532821 \nL 84.981994 118.043396 \nL 82.249818 109.73904 \nL 80.390378 101.903855 \nL 79.539933 94.833678 \nL 79.809808 88.811114 \nL 81.274605 84.077364 \nL 83.962221 80.805524 \nL 87.84729 79.080418 \nL 92.84968 78.889526 \nL 98.838677 80.127362 \nL 105.64254 82.612355 \nL 113.062121 86.112653 \nL 120.886403 90.375236 \nL 128.907725 95.152769 \nL 136.934658 100.224109 \nL 144.801386 105.406637 \nL 152.373104 110.560764 \nL 159.547741 115.588235 \nL 166.254791 120.42657 \nL 172.452148 125.041749 \nL 178.121843 129.420701 \nL 183.265402 133.564602 \nL 187.899325 137.483453 \nL 192.051003 141.191979 \nL 195.755226 144.706769 \nL 199.051326 148.044404 \nL 201.980916 151.22031 \nL 204.586176 154.248208 \nL 208.988124 159.904987 \nL 212.567226 165.085794 \nL 216.977064 172.054683 \nL 220.886603 178.107121 \nL 223.504243 181.623358 \nL 224.870145 183.216917 \nL 226.295086 184.694269 \nL 227.793658 186.049024 \nL 229.379746 187.273405 \nL 231.066654 188.35812 \nL 232.867219 189.292181 \nL 234.793865 190.062709 \nL 236.858632 190.654738 \nL 239.073146 191.050997 \nL 241.44853 191.231706 \nL 243.995255 191.174395 \nL 246.722918 190.853737 \nL 249.639901 190.241495 \nL 252.752954 189.306527 \nL 256.066643 188.015006 \nL 259.582653 186.330814 \nL 263.298954 184.216284 \nL 267.208786 181.633336 \nL 271.299491 178.545108 \nL 275.551195 174.918256 \nL 279.935343 170.725888 \nL 284.413215 165.951353 \nL 288.934446 160.592723 \nL 293.43576 154.667952 \nL 297.840091 148.220291 \nL 302.056336 141.323534 \nL 305.980087 134.08625 \nL 309.49561 126.653987 \nL 312.479379 119.208372 \nL 314.805317 111.961932 \nL 316.351747 105.148014 \nL 317.00968 99.00568 \nL 316.691889 93.760782 \nL 315.34166 89.605225 \nL 312.94011 86.677758 \nL 309.510783 85.049572 \nL 305.120548 84.717772 \nL 299.87638 85.608134 \nL 293.918189 87.586707 \nL 287.408705 90.477773 \nL 280.521784 94.084669 \nL 273.430766 98.209787 \nL 266.298214 102.670662 \nL 259.268143 107.310713 \nL 252.460995 112.004396 \nL 245.971446 116.657705 \nL 239.868496 121.205342 \nL 234.19732 125.606066 \nL 228.982163 129.837405 \nL 224.229793 133.890587 \nL 219.93304 137.766143 \nL 216.074146 141.470438 \nL 212.627745 145.013029 \nL 209.563402 148.404828 \nL 206.847689 151.656893 \nL 204.445824 154.779714 \nL 202.322921 157.782783 \nL 200.44491 160.674457 \nL 197.294964 166.151289 \nL 194.758721 171.255056 \nL 191.670486 178.275068 \nL 188.074144 186.527745 \nL 186.225517 190.187498 \nL 184.210666 193.525468 \nL 183.11297 195.067723 \nL 181.940642 196.520682 \nL 180.682872 197.879548 \nL 179.32872 199.13839 \nL 177.86702 200.289971 \nL 176.286283 201.32555 \nL 174.574636 202.234626 \nL 172.71977 203.004692 \nL 170.708937 203.620908 \nL 168.528958 204.065773 \nL 166.166297 204.318747 \nL 163.607179 204.355871 \nL 160.837772 204.149348 \nL 157.844479 203.667141 \nL 154.614315 202.87264 \nL 151.135443 201.724383 \nL 147.397846 200.175969 \nL 143.394244 198.176211 \nL 139.121198 195.669705 \nL 134.580526 192.597899 \nL 129.780988 188.900992 \nL 124.74031 184.520737 \nL 119.487486 179.404543 \nL 114.065341 173.511008 \nL 108.533207 166.817031 \nL 102.969533 159.326511 \nL 97.474069 151.080181 \nL 92.169224 142.1659 \nL 87.200001 132.72794 \nL 82.731831 122.973263 \nL 78.94566 113.172344 \nL 76.02982 103.651777 \nL 74.168502 94.776859 \nL 73.527219 86.923414 \nL 74.236721 80.441194 \nL 76.377133 75.613625 \nL 79.965129 72.621648 \nL 84.946705 71.519512 \nL 91.197619 72.229021 \nL 98.532013 74.554176 \nL 106.718209 78.212803 \nL 115.499028 82.877641 \nL 124.613248 88.217573 \nL 133.814839 93.931188 \nL 151.654416 105.538929 \nL 167.771625 116.40763 \nL 181.55824 126.036516 \nL 192.906767 134.397794 \nL 197.722998 138.15269 \nL 202.021042 141.658024 \nL 205.848912 144.938721 \nL 209.25713 148.017219 \nL 215.017129 153.641503 \nL 219.689023 158.646509 \nL 228.748519 168.813068 \nL 231.997849 171.96745 \nL 233.642156 173.337836 \nL 235.325776 174.562235 \nL 237.065967 175.632775 \nL 238.878271 176.540113 \nL 240.776645 177.273389 \nL 242.773546 177.820157 \nL 244.87995 178.166372 \nL 247.105332 178.296378 \nL 249.457567 178.192915 \nL 251.94278 177.837219 \nL 254.56509 177.209196 \nL 257.326302 176.287734 \nL 260.225514 175.051114 \nL 263.258609 173.477665 \nL 266.417712 171.546619 \nL 269.690522 169.239261 \nL 273.059654 166.540337 \nL 276.501882 163.439835 \nL 279.987453 159.935049 \nL 283.479468 156.032942 \nL 286.93341 151.752613 \nL 290.296938 147.127824 \nL 293.510066 142.209246 \nL 296.505822 137.06609 \nL 299.21155 131.786763 \nL 301.55091 126.478152 \nL 303.446664 121.263052 \nL 304.824173 116.275629 \nL 305.615492 111.654901 \nL 305.763806 107.536464 \nL 305.22779 104.043309 \nL 303.985516 101.27674 \nL 302.03731 99.308548 \nL 299.407194 98.175613 \nL 296.142609 97.877883 \nL 292.312308 98.380038 \nL 288.002621 99.616419 \nL 283.312477 101.498551 \nL 278.347752 103.923984 \nL 273.21551 106.785091 \nL 268.01876 109.976782 \nL 262.852149 113.402515 \nL 257.798792 116.97808 \nL 252.928362 120.633496 \nL 248.296334 124.313132 \nL 243.944191 127.974766 \nL 239.900364 131.587828 \nL 236.181654 135.13137 \nL 232.794922 138.592004 \nL 229.738865 141.962023 \nL 227.005763 145.237812 \nL 224.583071 148.418532 \nL 222.454862 151.505158 \nL 220.603038 154.499722 \nL 219.008345 157.404792 \nL 217.651194 160.223152 \nL 216.5123 162.957551 \nL 215.573163 165.610585 \nL 214.81642 168.184608 \nL 214.226088 170.681728 \nL 213.787715 173.103769 \nL 213.488462 175.452272 \nL 213.317137 177.728505 \nL 213.321639 182.067915 \nL 213.743613 186.126698 \nL 214.549089 189.904757 \nL 215.725592 193.396289 \nL 216.454461 195.030852 \nL 217.280161 196.588168 \nL 218.206366 198.065062 \nL 219.237807 199.45754 \nL 220.380242 200.760667 \nL 221.640443 201.968394 \nL 223.026181 203.073382 \nL 224.546202 204.066779 \nL 226.210216 204.937974 \nL 228.028858 205.674303 \nL 230.013647 206.260735 \nL 232.176914 206.679507 \nL 234.531691 206.909716 \nL 237.091566 206.926897 \nL 239.870464 206.702559 \nL 242.88234 206.203745 \nL 246.140778 205.392611 \nL 249.658451 204.226089 \nL 253.446404 202.655702 \nL 257.513128 200.627642 \nL 261.8634 198.083219 \nL 266.49682 194.959897 \nL 271.40602 191.193083 \nL 276.574547 186.719014 \nL 281.974371 181.478896 \nL 287.563128 175.424719 \nL 293.281151 168.526789 \nL 299.048568 160.783093 \nL 304.762732 152.230126 \nL 310.296491 142.954376 \nL 315.497969 133.103002 \nL 320.192515 122.891529 \nL 324.187669 112.605663 \nL 327.281685 102.594195 \nL 329.275937 93.250543 \nL 329.990635 84.982064 \nL 329.282692 78.169431 \nL 327.063371 73.121473 \nL 323.312698 70.034136 \nL 318.087696 68.963107 \nL 311.522078 69.817463 \nL 303.81661 72.376609 \nL 295.221466 76.326645 \nL 286.013536 81.307079 \nL 276.472687 86.957159 \nL 266.860679 92.952727 \nL 248.291817 104.989017 \nL 231.598708 116.087495 \nL 217.385089 125.778245 \nL 205.728664 134.081633 \nL 196.389886 141.204749 \nL 188.98106 147.374414 \nL 183.075777 152.77173 \nL 178.268951 157.519004 \nL 170.580669 165.30405 \nL 167.153045 168.368751 \nL 165.449034 169.685752 \nL 163.722965 170.851885 \nL 161.956329 171.859894 \nL 160.132738 172.701111 \nL 158.237794 173.365475 \nL 156.258967 173.841549 \nL 154.185578 174.116539 \nL 152.008777 174.176339 \nL 149.721639 174.005642 \nL 147.319294 173.588108 \nL 144.799122 172.906615 \nL 142.161041 171.943623 \nL 139.407835 170.681685 \nL 136.545575 169.104134 \nL 133.584091 167.195947 \nL 130.537456 164.944825 \nL 127.424548 162.342555 \nL 124.269543 159.386542 \nL 121.102416 156.081539 \nL 117.959258 152.441557 \nL 114.882485 148.491744 \nL 111.920727 144.270109 \nL 109.128386 139.828916 \nL 106.564773 135.235406 \nL 104.292689 130.571623 \nL 102.376492 125.933028 \nL 100.879582 121.42574 \nL 99.861427 117.162275 \nL 99.374225 113.255988 \nL 99.459495 109.81453 \nL 100.144857 106.932971 \nL 101.441349 104.687228 \nL 103.341632 103.128879 \nL 105.819351 102.281837 \nL 108.829813 102.141545 \nL 112.311933 102.676691 \nL 116.191382 103.833265 \nL 120.384518 105.540214 \nL 124.802768 107.715896 \nL 129.356979 110.274511 \nL 133.961401 113.131764 \nL 138.536987 116.209201 \nL 143.013798 119.437275 \nL 147.332526 122.756822 \nL 151.445158 126.119449 \nL 155.314906 129.487036 \nL 158.915569 132.830615 \nL 162.230494 136.129007 \nL 165.251319 139.367325 \nL 167.976596 142.535625 \nL 170.410422 145.627648 \nL 172.561153 148.639786 \nL 174.440227 151.570294 \nL 176.061142 154.418613 \nL 177.438589 157.184916 \nL 178.587728 159.869768 \nL 179.523614 162.47388 \nL 180.260751 164.997944 \nL 180.812745 167.442511 \nL 181.192069 169.807921 \nL 181.409884 172.094244 \nL 181.475934 174.301231 \nL 181.398493 176.428283 \nL 181.184336 178.474397 \nL 180.838752 180.438118 \nL 180.365567 182.317493 \nL 179.767184 184.109978 \nL 179.044626 185.812378 \nL 178.1976 187.420754 \nL 177.224538 188.930301 \nL 176.12267 190.335224 \nL 174.888073 191.628578 \nL 173.515744 192.802106 \nL 171.999664 193.846044 \nL 170.33288 194.748903 \nL 168.507601 195.497227 \nL 166.515317 196.075342 \nL 164.346938 196.465062 \nL 161.992984 196.645416 \nL 159.443824 196.592361 \nL 156.689984 196.278525 \nL 153.722524 195.673011 \nL 150.533543 194.741271 \nL 147.116799 193.445147 \nL 143.468472 191.743136 \nL 139.588116 189.590955 \nL 135.479801 186.942564 \nL 131.153449 183.751721 \nL 126.626421 179.974317 \nL 121.925254 175.571537 \nL 117.087561 170.514037 \nL 112.163982 164.787216 \nL 107.220027 158.397427 \nL 102.337558 151.378965 \nL 97.61568 143.801195 \nL 93.170537 135.774972 \nL 89.133702 127.457032 \nL 85.648672 119.050831 \nL 82.865128 110.802172 \nL 80.930907 102.988245 \nL 79.981883 95.899825 \nL 80.130524 89.817239 \nL 81.454341 84.983126 \nL 83.985826 81.575962 \nL 87.705656 79.689513 \nL 92.540662 79.322682 \nL 98.367279 80.3822 \nL 105.020385 82.697917 \nL 112.306261 86.047081 \nL 120.017668 90.18263 \nL 127.948887 94.859887 \nL 135.908694 99.857501 \nL 143.730022 104.990524 \nL 151.275737 110.115806 \nL 158.440801 115.13108 \nL 165.15147 119.969946 \nL 171.362424 124.59494 \nL 177.052711 128.990157 \nL 182.221218 133.154605 \nL 186.882203 137.096692 \nL 191.061228 140.830047 \nL 194.79163 144.370566 \nL 198.111623 147.734401 \nL 201.061991 150.936798 \nL 203.684319 153.991401 \nL 206.019696 156.910003 \nL 209.986266 162.376952 \nL 213.252857 167.395841 \nL 219.910284 178.161242 \nL 222.458935 181.762631 \nL 223.783727 183.404058 \nL 225.163153 184.933535 \nL 226.611816 186.345272 \nL 228.143616 187.632193 \nL 229.771898 188.78577 \nL 231.509567 189.795855 \nL 233.369167 190.650503 \nL 235.362925 191.335751 \nL 237.502748 191.835409 \nL 239.800159 192.130826 \nL 242.266187 192.200685 \nL 244.911175 192.020807 \nL 247.744499 191.56402 \nL 250.774198 190.800096 \nL 254.006478 189.695831 \nL 257.445095 188.215319 \nL 261.090568 186.320476 \nL 264.939248 183.971947 \nL 268.9822 181.130445 \nL 273.203922 177.758705 \nL 277.580907 173.824103 \nL 282.080091 169.302084 \nL 286.657292 164.1804 \nL 291.255708 158.464113 \nL 295.804708 152.181178 \nL 300.219135 145.388159 \nL 304.3994 138.175412 \nL 308.2327 130.670871 \nL 311.595723 123.041182 \nL 314.359054 115.489038 \nL 316.393398 108.245612 \nL 317.577542 101.557614 \nL 317.807466 95.669432 \nL 317.005872 90.802003 \nL 315.130851 87.131196 \nL 312.182432 84.769383 \nL 308.205754 83.753854 \nL 303.290021 84.044373 \nL 297.563112 85.530863 \nL 291.182419 88.049258 \nL 284.323247 91.402601 \nL 277.166355 95.383059 \nL 269.886314 99.791261 \nL 262.642 104.450496 \nL 255.569877 109.21496 \nL 248.780348 113.972314 \nL 242.356801 118.642145 \nL 236.356777 123.171667 \nL 230.814585 127.530278 \nL 225.744738 131.703967 \nL 221.145653 135.690335 \nL 217.003284 139.494435 \nL 213.294408 143.125646 \nL 209.989483 146.595402 \nL 207.05501 149.915642 \nL 204.45543 153.097886 \nL 202.15458 156.152678 \nL 200.116786 159.089335 \nL 196.694466 164.639122 \nL 193.936114 169.797129 \nL 190.577302 176.869173 \nL 187.639549 183.193184 \nL 185.687023 187.000796 \nL 183.608449 190.472894 \nL 181.305147 193.589644 \nL 180.040082 195.004887 \nL 178.684147 196.317384 \nL 177.225848 197.520079 \nL 175.653529 198.604456 \nL 173.955291 199.560301 \nL 172.118944 200.37546 \nL 170.131981 201.03555 \nL 167.981595 201.523645 \nL 165.654736 201.819944 \nL 163.138227 201.901413 \nL 160.418948 201.741409 \nL 157.484102 201.309345 \nL 154.321592 200.570382 \nL 150.920518 199.485226 \nL 147.271846 198.01008 \nL 143.369243 196.096849 \nL 139.210153 193.693715 \nL 134.797096 190.746223 \nL 130.139265 187.199063 \nL 125.254368 182.998772 \nL 120.170777 178.097511 \nL 114.929845 172.458214 \nL 109.588359 166.061059 \nL 104.220841 158.911375 \nL 98.921511 151.0485 \nL 93.805466 142.554973 \nL 89.008496 133.564807 \nL 84.685099 124.269058 \nL 81.003995 114.916532 \nL 78.140778 105.807384 \nL 76.267501 97.277816 \nL 75.539701 89.675423 \nL 76.081812 83.326899 \nL 77.972815 78.502277 \nL 81.234342 75.381982 \nL 85.823591 74.033847 \nL 91.632889 74.405663 \nL 98.49656 76.33557 \nL 106.204359 79.578102 \nL 114.519354 83.839571 \nL 123.197288 88.815191 \nL 132.004555 94.220627 \nL 140.732417 99.813632 \nL 157.290217 110.857809 \nL 171.933912 121.039253 \nL 184.281457 130.067892 \nL 189.589353 134.156704 \nL 194.35229 137.986027 \nL 198.607856 141.578226 \nL 202.399776 144.955602 \nL 205.775021 148.138788 \nL 208.781621 151.145959 \nL 213.877187 156.690967 \nL 218.042473 161.68119 \nL 226.320607 172.000082 \nL 229.38599 175.274552 \nL 230.957102 176.716668 \nL 232.578256 178.020582 \nL 234.265839 179.178441 \nL 236.034892 180.180891 \nL 237.89922 181.01697 \nL 239.871499 181.674028 \nL 241.963283 182.137598 \nL 244.184994 182.39133 \nL 246.545829 182.41693 \nL 249.053597 182.194134 \nL 251.714489 181.700784 \nL 254.532755 180.913002 \nL 257.510277 179.805462 \nL 260.646056 178.351929 \nL 263.935598 176.525947 \nL 267.37018 174.301882 \nL 270.936025 171.656308 \nL 274.613417 168.569767 \nL 278.375767 165.029 \nL 282.188684 161.029563 \nL 286.009142 156.578871 \nL 289.784876 151.699434 \nL 293.454051 146.432123 \nL 296.945464 140.839109 \nL 300.179407 135.005921 \nL 303.069339 129.04218 \nL 305.524522 123.080357 \nL 307.453688 117.271973 \nL 308.769629 111.781112 \nL 309.394559 106.77519 \nL 309.265805 102.413632 \nL 308.341285 98.835651 \nL 306.604134 96.148701 \nL 304.06579 94.419227 \nL 300.766991 93.667529 \nL 296.776395 93.867431 \nL 292.18685 94.950982 \nL 287.109701 96.817218 \nL 281.667825 99.343475 \nL 275.988224 102.397427 \nL 270.194982 105.847998 \nL 264.403336 109.574013 \nL 258.71515 113.469903 \nL 253.216127 117.448631 \nL 247.974542 121.442047 \nL 243.041343 125.399637 \nL 238.451233 129.286097 \nL 234.224459 133.078532 \nL 230.36894 136.763633 \nL 226.882524 140.335096 \nL 223.755183 143.791474 \nL 220.971028 147.134496 \nL 218.510077 150.367787 \nL 216.349762 153.495953 \nL 214.466145 156.523962 \nL 212.834908 159.456773 \nL 211.43209 162.299098 \nL 210.234649 165.055277 \nL 209.220852 167.729252 \nL 208.370527 170.324575 \nL 207.088239 175.291605 \nL 206.26145 179.97806 \nL 205.791422 184.401695 \nL 205.604477 188.577379 \nL 205.648622 192.517818 \nL 205.890134 196.233902 \nL 206.310545 199.734804 \nL 206.904258 203.027843 \nL 207.676831 206.118144 \nL 208.643943 209.00805 \nL 209.830986 211.696221 \nL 211.27323 214.176288 \nL 213.016516 216.434925 \nL 214.018535 217.474474 \nL 215.118384 218.449033 \nL 216.325336 219.353519 \nL 217.649598 220.181633 \nL 219.102372 220.925636 \nL 220.69591 221.57606 \nL 222.443568 222.121385 \nL 224.359841 222.547651 \nL 226.460393 222.838002 \nL 228.762053 222.97217 \nL 231.282767 222.92586 \nL 234.041509 222.670081 \nL 237.058114 222.170384 \nL 240.352996 221.386058 \nL 243.946756 220.269293 \nL 247.85958 218.764372 \nL 252.110431 216.806984 \nL 256.715932 214.323804 \nL 261.688875 211.232492 \nL 267.03628 207.442464 \nL 272.756932 202.856752 \nL 278.83825 197.375471 \nL 285.25257 190.901434 \nL 291.952702 183.348584 \nL 298.867006 174.653775 \nL 305.894194 164.792226 \nL 312.898421 153.796466 \nL 319.705432 141.77746 \nL 326.100963 128.945372 \nL 331.83292 115.625509 \nL 336.618859 102.263371 \nL 340.160223 89.411746 \nL 342.16402 77.694307 \nL 342.371051 67.743821 \nL 340.587706 60.121009 \nL 336.716488 55.228451 \nL 330.778466 53.240663 \nL 322.921611 54.0715 \nL 313.4113 57.391013 \nL 302.603486 62.688463 \nL 290.905827 69.363272 \nL 278.734913 76.818214 \nL 242.956693 99.252997 \nL 232.134854 105.823606 \nL 222.115187 111.744917 \nL 204.662718 121.657195 \nL 190.573245 129.316322 \nL 170.71176 139.788353 \nL 158.370764 146.119542 \nL 153.876591 148.215863 \nL 150.05434 149.71544 \nL 146.667819 150.656121 \nL 145.082641 150.922726 \nL 143.547454 151.055044 \nL 142.049843 151.053776 \nL 140.580391 150.919566 \nL 139.132459 150.653243 \nL 137.701979 150.256085 \nL 136.287273 149.730017 \nL 134.88889 149.07785 \nL 133.509452 148.303506 \nL 130.827314 146.410728 \nL 128.297351 144.112585 \nL 125.998611 141.498599 \nL 124.025686 138.688641 \nL 122.479784 135.830446 \nL 121.897744 134.435197 \nL 121.457783 133.091636 \nL 121.169328 131.82163 \nL 121.03998 130.646368 \nL 121.07518 129.585788 \nL 121.277921 128.657963 \nL 121.648498 127.878591 \nL 122.184388 127.260512 \nL 122.880172 126.813387 \nL 123.727603 126.54345 \nL 124.715754 126.453442 \nL 125.831256 126.54267 \nL 127.058625 126.807194 \nL 128.380668 127.240145 \nL 129.77891 127.832119 \nL 132.726476 129.445582 \nL 135.745459 131.539265 \nL 138.687588 133.993647 \nL 141.422373 136.689744 \nL 143.843217 139.516772 \nL 145.869462 142.375806 \nL 147.445235 145.180299 \nL 148.5362 147.854599 \nL 149.125355 150.331481 \nL 149.230132 151.476518 \nL 149.208813 152.549439 \nL 149.062373 153.543042 \nL 148.792216 154.450209 \nL 148.400116 155.263848 \nL 147.888202 155.976868 \nL 147.258933 156.582168 \nL 146.515125 157.07264 \nL 145.65997 157.441167 \nL 144.697099 157.68069 \nL 143.630641 157.784273 \nL 142.465326 157.745166 \nL 141.20658 157.55698 \nL 139.860641 157.213797 \nL 138.434701 156.710409 \nL 136.937026 156.042517 \nL 135.377102 155.207046 \nL 133.765779 154.202421 \nL 132.115374 153.02894 \nL 130.439798 151.68913 \nL 128.754601 150.18814 \nL 127.077034 148.534114 \nL 125.425998 146.738563 \nL 123.821958 144.816638 \nL 122.28679 142.787353 \nL 120.843468 140.67368 \nL 119.515738 138.502468 \nL 118.327631 136.304165 \nL 117.302883 134.112364 \nL 116.464279 131.963061 \nL 115.83292 129.893744 \nL 115.427439 127.942262 \nL 115.26324 126.145529 \nL 115.35176 124.538198 \nL 115.699823 123.1513 \nL 116.309143 122.011042 \nL 117.176015 121.137766 \nL 118.291242 120.545261 \nL 119.640239 120.240371 \nL 121.203452 120.222985 \nL 122.956942 120.486447 \nL 124.873154 121.018201 \nL 126.921854 121.800758 \nL 129.0711 122.812776 \nL 131.288246 124.030228 \nL 133.540889 125.427516 \nL 135.797733 126.97849 \nL 138.029309 128.657346 \nL 142.311237 132.301036 \nL 146.20521 136.18013 \nL 149.579208 140.146902 \nL 151.043018 142.125414 \nL 152.3483 144.083936 \nL 153.490559 146.011676 \nL 154.467159 147.898999 \nL 155.277011 149.737195 \nL 155.920254 151.518263 \nL 156.397976 153.234726 \nL 156.711963 154.879468 \nL 156.864471 156.44556 \nL 156.858043 157.926132 \nL 156.695354 159.314247 \nL 156.379103 160.602787 \nL 155.911933 161.78437 \nL 155.296381 162.851245 \nL 154.534866 163.79524 \nL 153.629705 164.607706 \nL 152.583171 165.279469 \nL 151.397561 165.800826 \nL 150.07531 166.161524 \nL 148.619135 166.350832 \nL 147.03219 166.357598 \nL 145.31828 166.170363 \nL 143.482089 165.777564 \nL 141.52943 165.167759 \nL 139.467539 164.329984 \nL 137.305384 163.254159 \nL 135.053995 161.931608 \nL 132.726787 160.355701 \nL 130.339912 158.522585 \nL 127.912544 156.432027 \nL 125.467174 154.088355 \nL 123.02977 151.501399 \nL 120.62989 148.687467 \nL 118.30061 145.670215 \nL 116.078284 142.481341 \nL 114.002081 139.161033 \nL 112.11329 135.757937 \nL 110.454296 132.328683 \nL 109.067353 128.936721 \nL 107.993041 125.650569 \nL 107.268567 122.541331 \nL 106.925945 119.679736 \nL 106.99017 117.132761 \nL 107.477565 114.960161 \nL 108.394417 113.211246 \nL 109.736094 111.922225 \nL 111.486667 111.114393 \nL 113.619241 110.793384 \nL 116.096864 110.949572 \nL 118.874039 111.559557 \nL 121.898716 112.588499 \nL 125.114517 113.993041 \nL 128.463132 115.72445 \nL 131.886586 117.731646 \nL 135.329297 119.963882 \nL 138.739746 122.372904 \nL 142.071782 124.914459 \nL 145.285411 127.549266 \nL 148.347233 130.243376 \nL 151.230463 132.968174 \nL 153.914664 135.700038 \nL 156.385264 138.419809 \nL 158.632912 141.112146 \nL 160.65275 143.764923 \nL 162.443653 146.368563 \nL 164.007482 148.915496 \nL 165.348384 151.399649 \nL 166.472151 153.816037 \nL 167.385648 156.160438 \nL 168.096331 158.429066 \nL 168.611826 160.618383 \nL 168.939616 162.724897 \nL 169.086753 164.744983 \nL 169.05967 166.674787 \nL 168.864022 168.510079 \nL 168.504587 170.246148 \nL 167.985206 171.8777 \nL 167.30876 173.398732 \nL 166.477166 174.802452 \nL 165.491423 176.081134 \nL 164.351662 177.226008 \nL 163.057233 178.227157 \nL 161.606807 179.073359 \nL 159.998521 179.752009 \nL 158.23014 180.248973 \nL 156.299253 180.54851 \nL 154.203516 180.633216 \nL 151.940948 180.483991 \nL 149.510262 180.080101 \nL 146.911271 179.39931 \nL 144.145356 178.418161 \nL 141.216033 177.112379 \nL 138.129558 175.457548 \nL 134.895653 173.429959 \nL 131.528287 171.007833 \nL 128.046524 168.172866 \nL 124.475386 164.912125 \nL 120.846712 161.220344 \nL 117.199962 157.102574 \nL 113.582793 152.576992 \nL 110.051429 147.677839 \nL 106.670568 142.458028 \nL 103.512749 136.991191 \nL 100.657022 131.372603 \nL 98.186771 125.718488 \nL 96.186685 120.163322 \nL 94.738849 114.854694 \nL 93.918134 109.945897 \nL 93.78716 105.586412 \nL 94.391336 101.911289 \nL 95.754414 99.030672 \nL 97.875244 97.020804 \nL 100.726206 95.918034 \nL 104.253636 95.716795 \nL 108.38038 96.371985 \nL 113.010181 97.805151 \nL 118.033519 99.913617 \nL 123.334088 102.580817 \nL 128.795302 105.686449 \nL 134.306101 109.115128 \nL 139.765648 112.76269 \nL 145.08659 116.540111 \nL 150.196897 120.374984 \nL 155.040432 124.211245 \nL 159.576427 128.007637 \nL 163.778241 131.735459 \nL 167.63161 135.376118 \nL 171.132681 138.918752 \nL 174.285997 142.358128 \nL 177.102582 145.69292 \nL 179.598202 148.924335 \nL 181.79185 152.055122 \nL 183.704471 155.088826 \nL 185.357927 158.029312 \nL 186.774167 160.880449 \nL 187.974609 163.645939 \nL 188.979663 166.329189 \nL 189.80842 168.933309 \nL 190.478428 171.461073 \nL 191.404059 176.297181 \nL 191.863185 180.854119 \nL 191.935844 185.144743 \nL 191.677595 189.178646 \nL 191.122256 192.962229 \nL 190.284552 196.498384 \nL 189.162317 199.785692 \nL 187.738037 202.81714 \nL 186.9032 204.232722 \nL 185.979762 205.578146 \nL 184.961517 206.849946 \nL 183.841355 208.043777 \nL 182.611253 209.154247 \nL 181.262249 210.174735 \nL 179.784424 211.097173 \nL 178.166885 211.911784 \nL 176.397747 212.606779 \nL 174.464143 213.168018 \nL 172.352238 213.578602 \nL 170.047288 213.818429 \nL 167.533725 213.863685 \nL 164.795309 213.686291 \nL 161.815352 213.253319 \nL 158.577056 212.526386 \nL 155.06396 211.461087 \nL 151.260579 210.006513 \nL 147.153235 208.104939 \nL 142.731178 205.691831 \nL 137.988007 202.696351 \nL 132.923478 199.042588 \nL 127.545738 194.651833 \nL 121.87402 189.446261 \nL 115.941824 183.354425 \nL 109.800468 176.318936 \nL 103.522897 168.306656 \nL 97.207453 159.321278 \nL 90.981079 149.417933 \nL 85.001346 138.718412 \nL 79.456304 127.424751 \nL 74.561185 115.827844 \nL 70.550814 104.306625 \nL 67.667109 93.313717 \nL 66.141331 83.344337 \nL 66.172404 74.888855 \nL 67.903432 68.374123 \nL 71.400138 64.103849 \nL 76.6358 62.211918 \nL 83.486376 62.641374 \nL 91.738156 65.156257 \nL 101.107346 69.383896 \nL 111.268071 74.87635 \nL 121.883521 81.175232 \nL 132.63457 87.865371 \nL 201.130561 131.479749 \nL 211.506077 138.326427 \nL 219.710949 144.028599 \nL 226.231455 148.826388 \nL 237.97583 157.740395 \nL 241.738166 160.215358 \nL 243.546394 161.221114 \nL 245.337333 162.067797 \nL 247.130429 162.75036 \nL 248.942146 163.262698 \nL 250.786127 163.597796 \nL 252.673345 163.747911 \nL 254.612171 163.704779 \nL 256.608423 163.459817 \nL 258.665371 163.004418 \nL 260.783673 162.330265 \nL 262.961306 161.429727 \nL 265.193431 160.296355 \nL 267.472263 158.925422 \nL 269.786903 157.314553 \nL 272.123212 155.464479 \nL 274.463656 153.37978 \nL 276.787256 151.069707 \nL 279.069584 148.548974 \nL 281.282877 145.838505 \nL 283.396292 142.965998 \nL 285.376336 139.966296 \nL 287.187481 136.881425 \nL 288.79302 133.760222 \nL 290.156136 130.657485 \nL 291.241136 127.632585 \nL 292.01493 124.747539 \nL 292.448522 122.064674 \nL 292.518567 119.643893 \nL 292.2088 117.539854 \nL 291.511256 115.799238 \nL 290.427161 114.458367 \nL 288.967367 113.541453 \nL 287.152295 113.059683 \nL 285.011341 113.011103 \nL 282.58182 113.381462 \nL 279.907454 114.145803 \nL 277.036584 115.270618 \nL 274.020221 116.71634 \nL 270.910096 118.439853 \nL 267.756813 120.396893 \nL 264.608296 122.544038 \nL 261.508482 124.840296 \nL 258.496431 127.248179 \nL 255.605764 129.734353 \nL 252.864416 132.269869 \nL 250.294706 134.830094 \nL 247.913617 137.394405 \nL 245.733238 139.945774 \nL 243.76133 142.47025 \nL 242.001946 144.956458 \nL 240.456063 147.395098 \nL 239.122213 149.778494 \nL 237.997061 152.10019 \nL 237.075937 154.354617 \nL 236.353314 156.536792 \nL 235.823207 158.642089 \nL 235.479505 160.666021 \nL 235.316259 162.604073 \nL 235.327895 164.451561 \nL 235.509372 166.203492 \nL 235.85631 167.854435 \nL 236.365065 169.398429 \nL 237.032753 170.828854 \nL 237.857265 172.138327 \nL 238.837239 173.318617 \nL 239.972001 174.360508 \nL 241.261479 175.253714 \nL 242.706092 175.986776 \nL 244.306607 176.546982 \nL 246.063953 176.920305 \nL 247.979018 177.091344 \nL 250.052393 177.043355 \nL 252.284061 176.758302 \nL 254.673056 176.216989 \nL 257.217045 175.399324 \nL 259.911861 174.284692 \nL 262.750971 172.852503 \nL 265.724882 171.082963 \nL 268.820472 168.958044 \nL 272.020328 166.462757 \nL 275.302016 163.586696 \nL 278.637388 160.325878 \nL 281.991956 156.684818 \nL 285.324418 152.678776 \nL 288.586376 148.336053 \nL 291.7224 143.700079 \nL 294.670507 138.831065 \nL 297.3632 133.806831 \nL 299.72912 128.722516 \nL 301.695386 123.688724 \nL 303.190626 118.827949 \nL 304.148572 114.269187 \nL 304.512031 110.140918 \nL 304.236952 106.562954 \nL 303.296131 103.638159 \nL 301.68221 101.444781 \nL 299.40948 100.030698 \nL 296.514196 99.410349 \nL 293.053313 99.564893 \nL 289.101607 100.445474 \nL 284.74756 101.979071 \nL 280.088386 104.076112 \nL 275.224749 106.63841 \nL 270.25574 109.566785 \nL 265.274484 112.76716 \nL 260.364727 116.15502 \nL 255.598545 119.657973 \nL 251.035114 123.216717 \nL 246.720472 126.784652 \nL 242.688036 130.326712 \nL 238.959691 133.817657 \nL 235.547211 137.240256 \nL 232.45387 140.583492 \nL 229.676054 143.840995 \nL 227.204827 147.009699 \nL 225.027334 150.08878 \nL 223.128057 153.078864 \nL 221.489858 155.981416 \nL 220.094849 158.798337 \nL 218.925095 161.531666 \nL 217.963149 164.183414 \nL 217.192462 166.755442 \nL 216.59767 169.249384 \nL 216.164796 171.66662 \nL 215.881376 174.008263 \nL 215.736519 176.275127 \nL 215.720932 178.467725 \nL 215.826906 180.586246 \nL 216.04828 182.630562 \nL 216.380395 184.600159 \nL 216.820037 186.494119 \nL 217.365376 188.311082 \nL 218.015907 190.049155 \nL 218.772394 191.705854 \nL 219.636818 193.278018 \nL 220.61233 194.76169 \nL 221.703208 196.151997 \nL 222.914815 197.443 \nL 224.253572 198.627517 \nL 225.726909 199.696935 \nL 227.343231 200.640965 \nL 229.11186 201.447401 \nL 231.042978 202.101816 \nL 233.147528 202.587244 \nL 235.4371 202.883826 \nL 237.923757 202.968442 \nL 240.61982 202.814327 \nL 243.537553 202.39069 \nL 246.688772 201.662391 \nL 250.084319 200.589696 \nL 253.733385 199.128189 \nL 257.642642 197.228923 \nL 261.815168 194.838932 \nL 266.24911 191.902262 \nL 270.936084 188.361683 \nL 275.85927 184.161349 \nL 280.991208 179.250565 \nL 286.291428 173.588896 \nL 291.703864 167.152797 \nL 297.154432 159.943648 \nL 302.548867 151.996958 \nL 307.771405 143.392028 \nL 312.684687 134.260792 \nL 317.131598 124.794149 \nL 320.939592 115.243382 \nL 323.928037 105.914324 \nL 325.918711 97.152273 \nL 326.749195 89.316986 \nL 326.287922 82.749254 \nL 324.449386 77.733483 \nL 321.206773 74.462567 \nL 316.599842 73.01282 \nL 310.735858 73.335165 \nL 303.782835 75.265124 \nL 295.955828 78.549657 \nL 287.498376 82.884236 \nL 278.662226 87.952013 \nL 269.688532 93.457246 \nL 260.792841 99.148284 \nL 243.916147 110.358635 \nL 228.996761 120.649049 \nL 216.425012 129.73037 \nL 211.023336 133.827927 \nL 206.177419 137.656454 \nL 201.84837 141.239822 \nL 197.991109 144.60161 \nL 194.557334 147.763504 \nL 188.763732 153.5606 \nL 184.087309 158.747368 \nL 172.0086 172.831014 \nL 170.425404 174.335567 \nL 168.808668 175.702929 \nL 167.140522 176.926172 \nL 165.404706 177.996909 \nL 163.58642 178.905241 \nL 161.672201 179.639664 \nL 159.649876 180.187007 \nL 157.508539 180.532331 \nL 155.2386 180.658919 \nL 152.831901 180.548244 \nL 150.281903 180.180035 \nL 147.583951 179.532416 \nL 144.735632 178.582177 \nL 141.73721 177.30519 \nL 138.592171 175.677055 \nL 135.307859 173.673979 \nL 131.896199 171.273958 \nL 128.374492 168.458322 \nL 124.766224 165.213649 \nL 121.101941 161.534047 \nL 117.419983 157.423823 \nL 113.767117 152.900348 \nL 110.198844 147.996989 \nL 106.779383 142.765856 \nL 103.581027 137.279885 \nL 100.682833 131.633907 \nL 98.168495 125.944068 \nL 96.123306 120.345213 \nL 94.630234 114.985873 \nL 93.765307 110.020839 \nL 93.592497 105.60164 \nL 94.15868 101.865844 \nL 95.489074 98.92625 \nL 97.583865 96.861755 \nL 100.416521 95.711057 \nL 103.934101 95.470369 \nL 108.059738 96.095633 \nL 112.697022 97.508689 \nL 117.735837 99.606415 \nL 123.058936 102.271217 \nL 128.548542 105.381388 \nL 134.092263 108.819934 \nL 139.587912 112.481165 \nL 144.946842 116.274602 \nL 150.095883 120.126665 \nL 154.97793 123.980372 \nL 159.551449 127.7938 \nL 163.789238 131.537827 \nL 167.676661 135.19361 \nL 171.209647 138.750179 \nL 174.392667 142.202317 \nL 177.236777 145.548757 \nL 179.75786 148.790818 \nL 181.975089 151.93136 \nL 183.909631 154.974067 \nL 185.583594 157.922928 \nL 187.019193 160.781928 \nL 188.238113 163.554869 \nL 189.261036 166.245271 \nL 190.107317 168.85632 \nL 190.794766 171.390876 \nL 191.75602 176.240482 \nL 192.253349 180.811287 \nL 192.368618 185.11677 \nL 192.159188 189.167254 \nL 191.660717 192.970036 \nL 190.889891 196.529166 \nL 189.846696 199.844781 \nL 188.516047 202.911978 \nL 186.868749 205.719101 \nL 185.913459 207.019041 \nL 184.861793 208.245209 \nL 183.706178 209.392961 \nL 182.438125 210.456547 \nL 181.048201 211.428917 \nL 179.526012 212.301495 \nL 177.860176 213.063891 \nL 176.03831 213.703588 \nL 174.047037 214.20558 \nL 171.872011 214.551936 \nL 169.497968 214.721335 \nL 166.908846 214.688527 \nL 164.087934 214.423755 \nL 161.018135 213.892142 \nL 157.682329 213.053065 \nL 154.06388 211.859598 \nL 150.147322 210.258023 \nL 145.919293 208.18758 \nL 141.369744 205.580587 \nL 136.493487 202.363094 \nL 131.29218 198.456405 \nL 125.776726 193.779748 \nL 119.970174 188.254512 \nL 113.911118 181.810474 \nL 107.657427 174.394424 \nL 101.290215 165.981346 \nL 94.917613 156.588104 \nL 88.677833 146.288885 \nL 82.740731 135.230756 \nL 77.306857 123.646662 \nL 72.602906 111.861964 \nL 68.872461 100.289921 \nL 66.361456 89.411798 \nL 65.29854 79.739326 \nL 65.871753 71.761074 \nL 68.204514 65.880052 \nL 72.334991 62.354556 \nL 78.203466 61.257165 \nL 85.651471 62.463826 \nL 94.4339 65.67746 \nL 104.242695 70.480293 \nL 114.737475 76.400765 \nL 125.577423 82.978226 \nL 147.084441 96.588418 \nL 175.766485 114.785919 \nL 203.963899 132.527327 \nL 214.016277 139.085286 \nL 221.959211 144.527542 \nL 230.979549 151.083573 \nL 237.792175 156.0832 \nL 241.666596 158.638612 \nL 243.500552 159.685616 \nL 245.299742 160.575816 \nL 247.085382 161.305255 \nL 248.875509 161.868845 \nL 250.685165 162.26059 \nL 252.526579 162.473734 \nL 254.409264 162.500987 \nL 256.340118 162.334727 \nL 258.323436 161.967271 \nL 260.360912 161.391169 \nL 262.451597 160.599584 \nL 264.591809 159.58671 \nL 266.775046 158.348265 \nL 268.99185 156.882065 \nL 271.229706 155.188675 \nL 273.472944 153.272077 \nL 275.702679 151.140409 \nL 277.896835 148.806654 \nL 280.030218 146.289322 \nL 282.074768 143.612983 \nL 283.999911 140.80861 \nL 285.773101 137.91368 \nL 287.360543 134.971936 \nL 288.72812 132.032684 \nL 289.842509 129.149702 \nL 290.672414 126.379639 \nL 291.189932 123.780033 \nL 291.371939 121.406966 \nL 291.201423 119.312589 \nL 290.668613 117.542629 \nL 289.7719 116.13419 \nL 288.518343 115.113985 \nL 286.923782 114.497217 \nL 285.012476 114.287225 \nL 282.816309 114.475856 \nL 280.373574 115.044662 \nL 277.727469 115.966543 \nL 274.924402 117.207857 \nL 272.012222 118.730628 \nL 269.038519 120.49472 \nL 266.049117 122.459777 \nL 263.086771 124.586838 \nL 260.190195 126.839509 \nL 257.393385 129.184758 \nL 254.725278 131.593309 \nL 252.209648 134.039751 \nL 249.865259 136.502415 \nL 247.706178 138.963049 \nL 245.74222 141.406424 \nL 243.979492 143.8199 \nL 242.420937 146.192985 \nL 241.066915 148.51689 \nL 239.915756 150.784173 \nL 238.964256 152.988377 \nL 238.208148 155.123737 \nL 237.642506 157.184951 \nL 237.262082 159.16694 \nL 237.061595 161.064695 \nL 237.035959 162.873077 \nL 237.180465 164.586714 \nL 237.490911 166.199877 \nL 237.963686 167.706341 \nL 238.595824 169.099286 \nL 239.385014 170.371202 \nL 240.32958 171.513773 \nL 241.42844 172.517782 \nL 242.68101 173.373037 \nL 244.087116 174.068277 \nL 245.646833 174.591107 \nL 247.360316 174.927943 \nL 249.227598 175.064029 \nL 251.248332 174.983435 \nL 253.421488 174.669183 \nL 255.745025 174.10341 \nL 258.215492 173.26763 \nL 260.82757 172.143174 \nL 263.57358 170.711739 \nL 266.442921 168.956151 \nL 269.421478 166.861346 \nL 272.491006 164.415572 \nL 275.628492 161.611866 \nL 278.805588 158.449715 \nL 281.988081 154.936947 \nL 285.135559 151.091701 \nL 288.201271 146.944384 \nL 291.132313 142.539325 \nL 293.870213 137.936035 \nL 296.352015 133.209625 \nL 298.511928 128.450164 \nL 300.283575 123.760685 \nL 301.602775 119.253689 \nL 302.410812 115.046118 \nL 302.657935 111.253057 \nL 302.306888 107.980686 \nL 301.336048 105.319105 \nL 299.741858 103.335976 \nL 297.540227 102.071879 \nL 294.766592 101.537984 \nL 291.474631 101.716354 \nL 287.73363 102.562951 \nL 283.624828 104.012749 \nL 279.23702 105.986166 \nL 274.661987 108.395907 \nL 269.990074 111.15338 \nL 265.306381 114.174032 \nL 260.687763 117.381209 \nL 256.200757 120.708523 \nL 251.900464 124.100785 \nL 247.830262 127.513868 \nL 244.022205 130.913812 \nL 240.497907 134.275455 \nL 237.269765 137.580929 \nL 234.342353 140.818125 \nL 231.713843 143.979334 \nL 229.377393 147.060043 \nL 227.322431 150.058006 \nL 225.535782 152.972481 \nL 224.002642 155.803662 \nL 222.707396 158.552279 \nL 221.634273 161.21929 \nL 220.767868 163.805698 \nL 220.093544 166.312419 \nL 219.597717 168.740172 \nL 219.268069 171.089455 \nL 219.09368 173.360456 \nL 219.06511 175.553054 \nL 219.174434 177.666762 \nL 219.415242 179.700697 \nL 219.782623 181.653532 \nL 220.273128 183.523434 \nL 220.884727 185.308005 \nL 221.616752 187.004213 \nL 222.469847 188.608281 \nL 223.44591 190.115579 \nL 224.548036 191.520498 \nL 225.780465 192.816298 \nL 227.14852 193.99493 \nL 228.658543 195.046855 \nL 230.317817 195.960809 \nL 232.13449 196.723565 \nL 234.117459 197.319658 \nL 236.276244 197.731107 \nL 238.620811 197.937095 \nL 241.161345 197.913687 \nL 243.907963 197.633524 \nL 246.870349 197.065601 \nL 250.057262 196.175084 \nL 253.475944 194.923303 \nL 257.131364 193.267937 \nL 261.025281 191.163496 \nL 265.155105 188.562237 \nL 269.512545 185.415656 \nL 274.082026 181.676666 \nL 278.838881 177.302723 \nL 283.747391 172.259956 \nL 288.758711 166.528458 \nL 293.808876 160.108666 \nL 298.817093 153.028623 \nL 303.684627 145.351638 \nL 308.294668 137.183377 \nL 312.513644 128.677199 \nL 316.194458 120.036032 \nL 319.182027 111.508974 \nL 321.321275 103.381112 \nL 322.467486 95.955839 \nL 322.498233 89.530283 \nL 321.325743 84.366461 \nL 318.907958 80.662526 \nL 315.256435 78.529461 \nL 310.439386 77.978402 \nL 304.578839 78.921661 \nL 297.841984 81.187514 \nL 290.427896 84.545465 \nL 282.551645 88.736395 \nL 274.428233 93.501611 \nL 266.25853 98.605926 \nL 258.21871 103.852382 \nL 250.453783 109.088475 \nL 236.160977 119.133182 \nL 229.759813 123.832364 \nL 223.894209 128.286901 \nL 218.56584 132.496554 \nL 213.760172 136.471008 \nL 209.450784 140.225407 \nL 205.60309 143.777145 \nL 202.177399 147.143764 \nL 199.131346 150.341698 \nL 196.421737 153.38557 \nL 191.842712 159.059255 \nL 188.12043 164.240627 \nL 178.145105 178.970993 \nL 175.366777 182.207298 \nL 173.896179 183.646879 \nL 172.351123 184.958707 \nL 170.717524 186.1345 \nL 168.981968 187.164401 \nL 167.131618 188.03682 \nL 165.154154 188.738243 \nL 163.03777 189.253048 \nL 160.771216 189.563312 \nL 158.343907 189.648635 \nL 155.746104 189.485989 \nL 152.96917 189.049634 \nL 150.005934 188.311108 \nL 146.851151 187.23936 \nL 143.502095 185.801073 \nL 139.959291 183.961207 \nL 136.227383 181.683937 \nL 132.316177 178.933976 \nL 128.241804 175.678451 \nL 124.028032 171.889391 \nL 119.707626 167.546881 \nL 115.323753 162.642975 \nL 110.931232 157.186175 \nL 106.597524 151.206358 \nL 102.40323 144.759742 \nL 98.441837 137.933277 \nL 94.818433 130.847623 \nL 91.647104 123.657805 \nL 89.046836 116.55044 \nL 87.13582 109.736727 \nL 86.024342 103.440877 \nL 85.806644 97.884427 \nL 86.552593 93.267792 \nL 88.300048 89.751581 \nL 91.049135 87.440625 \nL 94.759478 86.373657 \nL 99.351013 86.52092 \nL 104.708562 87.790104 \nL 110.689735 90.039512 \nL 117.13501 93.095897 \nL 123.878678 96.773469 \nL 130.759274 100.89105 \nL 137.62826 105.285137 \nL 144.356359 109.817939 \nL 150.83729 114.380684 \nL 156.989061 118.892965 \nL 162.753316 123.29965 \nL 168.093291 127.566421 \nL 172.990939 131.674983 \nL 177.443672 135.618647 \nL 181.461123 139.398535 \nL 185.062104 143.020607 \nL 188.271938 146.493447 \nL 191.120202 149.82674 \nL 193.638884 153.030242 \nL 195.860938 156.113211 \nL 197.819185 159.084042 \nL 199.545509 161.950176 \nL 202.422135 167.393212 \nL 204.71082 172.483343 \nL 206.598499 177.249793 \nL 211.276108 189.775411 \nL 212.867239 193.383429 \nL 214.618597 196.704102 \nL 216.606726 199.723443 \nL 217.713371 201.11283 \nL 218.908096 202.416462 \nL 220.201078 203.628874 \nL 221.602927 204.743352 \nL 223.124771 205.751737 \nL 224.778319 206.644177 \nL 226.575906 207.408838 \nL 228.530522 208.031598 \nL 230.655799 208.495669 \nL 232.965977 208.781211 \nL 235.475805 208.864868 \nL 238.200395 208.719296 \nL 241.154979 208.312682 \nL 244.354586 207.608253 \nL 247.813549 206.563848 \nL 251.544893 205.131616 \nL 255.559488 203.257911 \nL 259.864977 200.883516 \nL 264.464399 197.944371 \nL 269.354484 194.373015 \nL 274.523583 190.101011 \nL 279.949209 185.062649 \nL 285.595243 179.200247 \nL 291.408817 172.471318 \nL 297.317125 164.857713 \nL 303.224438 156.376647 \nL 309.009708 147.092949 \nL 314.525421 137.13132 \nL 319.598509 126.686568 \nL 324.03404 116.028877 \nL 327.622614 105.500815 \nL 330.151835 95.502846 \nL 331.421872 86.465557 \nL 331.263923 78.809308 \nL 329.559708 72.896065 \nL 326.258809 68.981778 \nL 321.390525 67.179778 \nL 315.067146 67.444893 \nL 307.477189 69.583199 \nL 298.869107 73.285523 \nL 289.528177 78.17618 \nL 279.750782 83.864991 \nL 269.820367 89.991532 \nL 250.463036 102.42612 \nL 225.074793 119.128497 \nL 211.404967 128.352962 \nL 200.321738 136.166854 \nL 191.496414 142.823745 \nL 184.49837 148.556819 \nL 178.888032 153.537526 \nL 166.656386 164.803061 \nL 164.903939 166.175596 \nL 163.158633 167.398333 \nL 161.399242 168.465636 \nL 159.607092 169.370465 \nL 157.76588 170.104469 \nL 155.861526 170.65802 \nL 153.882084 171.020269 \nL 151.817684 171.179232 \nL 149.660551 171.121907 \nL 147.405057 170.834438 \nL 145.047871 170.302358 \nL 142.58813 169.510902 \nL 140.027699 168.445466 \nL 137.371472 167.092167 \nL 134.62773 165.438586 \nL 131.808532 163.47466 \nL 128.930128 161.193758 \nL 126.013346 158.593938 \nL 123.083974 155.679361 \nL 120.173019 152.46177 \nL 117.316839 148.96202 \nL 114.557056 145.211467 \nL 111.940235 141.253123 \nL 109.517164 137.142291 \nL 107.341803 132.946608 \nL 105.469752 128.745101 \nL 103.956281 124.626287 \nL 102.853992 120.68509 \nL 102.210192 117.018729 \nL 102.064075 113.721725 \nL 102.444057 110.880471 \nL 103.365408 108.567872 \nL 104.828498 106.838723 \nL 106.817857 105.726275 \nL 109.30225 105.240617 \nL 112.235756 105.368952 \nL 115.55986 106.077792 \nL 119.206313 107.316691 \nL 123.100527 109.022954 \nL 127.165147 111.126761 \nL 131.323506 113.556065 \nL 135.502679 116.240771 \nL 139.635969 119.11589 \nL 143.664672 122.123694 \nL 147.539141 125.214758 \nL 151.219198 128.348182 \nL 154.674001 131.4912 \nL 157.881458 134.618287 \nL 160.827372 137.710155 \nL 163.504391 140.75263 \nL 165.910885 143.735563 \nL 168.049832 146.651913 \nL 169.927752 149.496909 \nL 171.553741 152.2674 \nL 172.93862 154.961339 \nL 174.094211 157.577356 \nL 175.032718 160.114473 \nL 175.766247 162.57187 \nL 176.306409 164.948722 \nL 176.664024 167.244073 \nL 176.8489 169.456712 \nL 176.869683 171.585135 \nL 176.733751 173.627421 \nL 176.447159 175.581198 \nL 176.014616 177.443546 \nL 175.439481 179.210919 \nL 174.723798 180.879051 \nL 173.86832 182.442856 \nL 172.872577 183.896303 \nL 171.73493 185.232293 \nL 170.452645 186.442491 \nL 169.021986 187.517185 \nL 167.438312 188.44507 \nL 165.69619 189.213085 \nL 163.789554 189.806197 \nL 161.711867 190.207189 \nL 159.456332 190.396458 \nL 157.016159 190.351835 \nL 154.384893 190.048449 \nL 151.556798 189.458642 \nL 148.527366 188.552019 \nL 145.293903 187.295622 \nL 141.856251 185.654366 \nL 138.217656 183.591722 \nL 134.385766 181.070843 \nL 130.373806 178.056118 \nL 126.201856 174.515377 \nL 121.898271 170.42272 \nL 117.50114 165.762113 \nL 113.059716 160.531682 \nL 108.635602 154.748598 \nL 104.303661 148.454264 \nL 100.152198 141.719288 \nL 96.282332 134.647535 \nL 92.806106 127.378313 \nL 89.843174 120.085605 \nL 87.515825 112.97335 \nL 85.942435 106.266046 \nL 85.229555 100.194697 \nL 85.463309 94.978954 \nL 86.700944 90.807467 \nL 88.963742 87.819412 \nL 92.23238 86.090333 \nL 96.445774 85.625144 \nL 101.503785 86.359919 \nL 107.273756 88.172008 \nL 113.599918 90.896592 \nL 120.314466 94.346255 \nL 127.248776 98.330156 \nL 134.243398 102.669942 \nL 141.155895 107.210624 \nL 147.865948 111.826317 \nL 154.277881 116.421282 \nL 160.320863 120.927722 \nL 165.947389 125.301613 \nL 171.130626 129.517758 \nL 175.861189 133.564927 \nL 180.143736 137.441588 \nL 183.993722 141.152418 \nL 187.434454 144.705664 \nL 190.494583 148.111252 \nL 193.206013 151.379547 \nL 195.602242 154.520535 \nL 197.717087 157.543388 \nL 199.58373 160.456286 \nL 201.234054 163.266329 \nL 204.004275 168.60126 \nL 206.244078 173.586173 \nL 208.999946 180.462177 \nL 211.455799 186.659857 \nL 213.114438 190.424182 \nL 214.899191 193.890868 \nL 216.893875 197.047366 \nL 217.995213 198.502492 \nL 219.179393 199.870278 \nL 220.456778 201.145535 \nL 221.838047 202.321872 \nL 223.334279 203.391517 \nL 224.957033 204.345084 \nL 226.718397 205.171305 \nL 228.631022 205.856742 \nL 230.708119 206.385443 \nL 232.963434 206.738565 \nL 235.41116 206.893974 \nL 238.065799 206.825781 \nL 240.941939 206.50392 \nL 244.053961 205.893678 \nL 247.415577 204.955318 \nL 251.039263 203.643794 \nL 254.935482 201.908646 \nL 259.111678 199.694194 \nL 263.571026 196.940212 \nL 268.310853 193.583194 \nL 273.320733 189.558542 \nL 278.580237 184.803881 \nL 284.056334 179.263815 \nL 289.700542 172.896346 \nL 295.445964 165.681133 \nL 301.204466 157.62943 \nL 306.864381 148.795297 \nL 312.289258 139.286952 \nL 317.318386 129.276633 \nL 321.769787 119.00638 \nL 325.446467 108.786856 \nL 328.146405 98.986186 \nL 329.676266 90.006846 \nL 329.868183 82.250886 \nL 328.597745 76.076741 \nL 325.800817 71.754668 \nL 321.485934 69.429786 \nL 315.739517 69.102045 \nL 308.722017 70.628653 \nL 300.655021 73.749188 \nL 291.801322 78.126916 \nL 282.441389 83.396634 \nL 272.850248 89.208144 \nL 263.278221 95.258064 \nL 244.995695 107.183491 \nL 228.750078 118.030035 \nL 215.030433 127.448381 \nL 203.83964 135.512495 \nL 194.899571 142.441635 \nL 187.808984 148.456491 \nL 182.142414 153.726954 \nL 175.457722 160.46724 \nL 169.976674 165.950342 \nL 166.56425 168.913361 \nL 164.855165 170.176944 \nL 163.116778 171.287225 \nL 161.331391 172.236428 \nL 159.483364 173.015363 \nL 157.558994 173.61346 \nL 155.546426 174.018755 \nL 153.435635 174.217947 \nL 151.21846 174.196458 \nL 148.888687 173.938546 \nL 146.442219 173.427518 \nL 143.877311 172.646005 \nL 141.194859 171.576381 \nL 138.398773 170.201337 \nL 135.496414 168.504615 \nL 132.499068 166.471973 \nL 129.422489 164.092345 \nL 126.287415 161.359282 \nL 123.120087 158.272569 \nL 119.952686 154.840027 \nL 116.823617 151.079436 \nL 113.777635 147.020388 \nL 110.865619 142.705928 \nL 108.143976 138.193749 \nL 105.67359 133.556645 \nL 103.518235 128.881898 \nL 101.742402 124.269443 \nL 100.408615 119.828533 \nL 99.574278 115.67301 \nL 99.288295 111.915288 \nL 99.587633 108.659566 \nL 100.494293 105.99497 \nL 102.012878 103.989333 \nL 104.129173 102.684622 \nL 106.809974 102.094422 \nL 110.004255 102.204086 \nL 113.645563 102.973376 \nL 117.655511 104.341175 \nL 121.947939 106.231565 \nL 126.433338 108.560403 \nL 131.023159 111.241581 \nL 135.633541 114.192258 \nL 140.188339 117.336757 \nL 144.621208 120.609026 \nL 148.87681 123.953719 \nL 152.911184 127.326222 \nL 156.691453 130.691847 \nL 160.195011 134.024626 \nL 163.408391 137.305845 \nL 166.325934 140.522597 \nL 168.948408 143.666428 \nL 171.281657 146.732199 \nL 173.335344 149.717102 \nL 175.121824 152.619919 \nL 176.655181 155.440437 \nL 177.950412 158.179042 \nL 179.022752 160.836401 \nL 179.887154 163.413259 \nL 180.55788 165.910293 \nL 181.048192 168.328017 \nL 181.370144 170.666697 \nL 181.534429 172.926323 \nL 181.550299 175.106554 \nL 181.425517 177.206669 \nL 181.166346 179.225539 \nL 180.777567 181.16157 \nL 180.262512 183.012629 \nL 179.623103 184.776003 \nL 178.859902 186.44828 \nL 177.972169 188.025266 \nL 176.957914 189.501873 \nL 175.813961 190.871972 \nL 174.536004 192.128235 \nL 173.118674 193.261967 \nL 171.555613 194.262897 \nL 169.839558 195.118949 \nL 167.962436 195.816009 \nL 165.915495 196.337639 \nL 163.689461 196.664815 \nL 161.274723 196.775618 \nL 158.661609 196.644975 \nL 155.840708 196.244394 \nL 152.803278 195.541794 \nL 149.541795 194.501418 \nL 146.050601 193.083939 \nL 142.326736 191.246789 \nL 138.370943 188.944861 \nL 134.188868 186.131657 \nL 129.792487 182.761107 \nL 125.201731 178.790096 \nL 120.446308 174.181975 \nL 115.567632 168.911057 \nL 110.620767 162.968231 \nL 105.676203 156.367483 \nL 100.821214 149.153015 \nL 96.160451 141.406356 \nL 91.815386 133.25232 \nL 87.922144 124.862564 \nL 84.62734 116.454976 \nL 82.08161 108.287443 \nL 80.430871 100.644675 \nL 79.805621 93.818252 \nL 80.309265 88.081084 \nL 82.00677 83.659744 \nL 84.915364 80.709067 \nL 88.999032 79.294333 \nL 94.168108 79.384811 \nL 100.284523 80.860647 \nL 107.172111 83.531478 \nL 114.630545 87.162783 \nL 122.450707 91.504368 \nL 130.42939 96.315817 \nL 138.38138 101.385222 \nL 146.147966 106.539778 \nL 153.601568 111.649043 \nL 160.646868 116.622435 \nL 167.219259 121.40336 \nL 173.281491 125.961951 \nL 178.819357 130.287776 \nL 183.837128 134.383483 \nL 188.353156 138.259673 \nL 192.395946 141.931113 \nL 196.000811 145.414093 \nL 199.207153 148.724689 \nL 202.056331 151.877787 \nL 204.590042 154.886534 \nL 208.872856 160.514064 \nL 212.359815 165.675069 \nL 221.783808 180.490603 \nL 224.437368 183.797114 \nL 225.846421 185.281095 \nL 227.329784 186.644252 \nL 228.901183 187.878937 \nL 230.573824 188.975985 \nL 232.360487 189.924559 \nL 234.273597 190.711925 \nL 236.325244 191.32326 \nL 238.527168 191.741428 \nL 240.890668 191.946764 \nL 243.426462 191.916869 \nL 246.144464 191.626441 \nL 249.053463 191.047177 \nL 252.160715 190.147766 \nL 255.471387 188.894046 \nL 258.987879 187.249381 \nL 262.708994 185.175319 \nL 266.628922 182.632703 \nL 270.736068 179.583214 \nL 275.01172 175.991598 \nL 279.428544 171.828589 \nL 283.94907 167.074669 \nL 288.524133 161.724579 \nL 293.091498 155.792545 \nL 297.574856 149.317913 \nL 301.883429 142.370684 \nL 305.912521 135.056128 \nL 309.545316 127.517576 \nL 312.656235 119.936038 \nL 315.116094 112.525633 \nL 316.799005 105.523838 \nL 317.590814 99.176599 \nL 317.3984 93.719003 \nL 316.158894 89.353866 \nL 313.847527 86.231241 \nL 310.482834 84.432684 \nL 306.128111 83.963298 \nL 300.888582 84.753573 \nL 294.904417 86.670495 \nL 288.340492 89.535833 \nL 281.374389 93.147748 \nL 274.184227 97.301832 \nL 266.93788 101.808357 \nL 259.784633 106.503891 \nL 252.849796 111.257117 \nL 246.232194 115.969592 \nL 240.00415 120.572925 \nL 234.21328 125.023977 \nL 228.885468 129.299338 \nL 224.028423 133.389991 \nL 219.635339 137.296689 \nL 215.688383 141.026267 \nL 212.161781 144.588891 \nL 209.024463 147.996116 \nL 206.242222 151.259606 \nL 203.779407 154.390367 \nL 201.600234 157.39836 \nL 199.669725 160.292287 \nL 196.422581 165.766627 \nL 193.794064 170.859499 \nL 190.563799 177.847462 \nL 187.697432 184.098955 \nL 185.770358 187.863006 \nL 183.704293 191.294589 \nL 181.403297 194.373276 \nL 180.136135 195.770204 \nL 178.776132 197.06474 \nL 177.311879 198.249715 \nL 175.731759 199.316478 \nL 174.023875 200.254658 \nL 172.176002 201.051908 \nL 170.175562 201.693618 \nL 168.009651 202.162592 \nL 165.665091 202.4387 \nL 163.128562 202.498508 \nL 160.386784 202.314909 \nL 157.426792 201.85676 \nL 154.236315 201.088579 \nL 150.804305 199.970324 \nL 147.121602 198.457343 \nL 143.181798 196.500598 \nL 138.982338 194.04724 \nL 134.525863 191.041726 \nL 129.821823 187.427683 \nL 124.888409 183.150668 \nL 119.754718 178.16209 \nL 114.463161 172.42452 \nL 109.071955 165.918387 \nL 103.657485 158.650123 \nL 98.316319 150.661303 \nL 93.166328 142.038087 \nL 88.346502 132.919621 \nL 84.014784 123.503613 \nL 80.343374 114.046776 \nL 77.511015 104.85777 \nL 75.692202 96.280942 \nL 75.043703 88.670411 \nL 75.689589 82.356507 \nL 77.706622 77.608865 \nL 81.112254 74.603081 \nL 85.857863 73.398082 \nL 91.828815 73.929888 \nL 98.85212 76.023845 \nL 106.710675 79.422565 \nL 115.161877 83.822972 \nL 123.95749 88.914234 \nL 132.861777 94.409446 \nL 141.665625 100.066705 \nL 158.317611 111.173559 \nL 172.995079 121.354678 \nL 185.338878 130.347036 \nL 190.637275 134.410239 \nL 195.388392 138.211025 \nL 199.63143 141.772707 \nL 203.411391 145.11817 \nL 206.776224 148.268408 \nL 212.454805 154.053547 \nL 217.042244 159.240032 \nL 228.94118 173.382664 \nL 230.508866 174.901966 \nL 232.111664 176.285662 \nL 233.76728 177.526864 \nL 235.491868 178.617232 \nL 237.300193 179.546916 \nL 239.20573 180.304447 \nL 241.220741 180.876645 \nL 243.356284 181.248554 \nL 245.622169 181.40338 \nL 248.026845 181.322434 \nL 250.577218 180.985221 \nL 253.278389 180.369505 \nL 256.133288 179.45159 \nL 259.142254 178.206696 \nL 262.30247 176.609548 \nL 265.607329 174.635258 \nL 269.045705 172.260461 \nL 272.60112 169.46484 \nL 276.250891 166.233023 \nL 279.965251 162.556933 \nL 283.706519 158.438435 \nL 287.428406 153.892366 \nL 291.075608 148.949584 \nL 294.583738 143.659918 \nL 297.879857 138.094535 \nL 300.883683 132.347312 \nL 303.509627 126.53456 \nL 305.669815 120.792707 \nL 307.278005 115.273496 \nL 308.254308 110.13655 \nL 308.530478 105.539717 \nL 308.055228 101.62788 \nL 306.799087 98.521614 \nL 304.758166 96.307184 \nL 301.956198 95.029504 \nL 298.444482 94.68919 \nL 294.299567 95.244361 \nL 289.61888 96.616699 \nL 284.514763 98.700893 \nL 279.10765 101.375561 \nL 273.51913 104.514321 \nL 267.865658 107.99516 \nL 262.253466 111.707609 \nL 256.774905 115.55706 \nL 251.506345 119.46655 \nL 246.507496 123.376614 \nL 241.821843 127.24364 \nL 237.477943 131.037505 \nL 233.49124 134.738905 \nL 229.866133 138.336807 \nL 226.598109 141.826177 \nL 223.675776 145.206105 \nL 221.082703 148.478331 \nL 218.799019 151.646178 \nL 216.802761 154.713774 \nL 215.070978 157.685529 \nL 213.580586 160.565821 \nL 212.309035 163.358787 \nL 211.234793 166.068254 \nL 210.33768 168.697691 \nL 209.599093 171.250208 \nL 208.531606 176.135349 \nL 207.917965 180.74264 \nL 207.670764 185.087367 \nL 207.727152 189.181883 \nL 208.04578 193.035998 \nL 208.603812 196.657038 \nL 209.394383 200.049514 \nL 210.424721 203.214479 \nL 211.714948 206.148438 \nL 213.297571 208.841799 \nL 214.212091 210.093031 \nL 215.217589 211.276528 \nL 216.321745 212.388175 \nL 217.533122 213.422846 \nL 218.861204 214.374216 \nL 220.316435 215.234529 \nL 221.910253 215.994347 \nL 223.655127 216.642236 \nL 225.564569 217.164415 \nL 227.653142 217.544324 \nL 229.936435 217.762157 \nL 232.430992 217.794322 \nL 235.154202 217.612834 \nL 238.124096 217.184658 \nL 241.359071 216.471026 \nL 244.877456 215.426741 \nL 248.696931 213.99954 \nL 252.83371 212.129612 \nL 257.301476 209.749376 \nL 262.109948 206.783706 \nL 267.263072 203.150889 \nL 272.756731 198.764584 \nL 278.575932 193.537248 \nL 284.691419 187.385484 \nL 291.055826 180.237753 \nL 297.599367 172.04497 \nL 304.225505 162.794006 \nL 310.806897 152.523908 \nL 317.182461 141.343533 \nL 323.15653 129.448443 \nL 328.50123 117.133206 \nL 332.963536 104.794322 \nL 336.277841 92.918211 \nL 338.184737 82.050144 \nL 338.454968 72.742857 \nL 336.916244 65.489891 \nL 333.478849 60.654768 \nL 328.154837 58.412571 \nL 321.065815 58.720184 \nL 312.436198 61.325443 \nL 302.572243 65.813914 \nL 291.830451 71.680462 \nL 280.581756 78.40606 \nL 257.927765 92.649396 \nL 236.8139 105.947864 \nL 218.470243 117.212996 \nL 177.394891 142.089793 \nL 158.545423 154.089562 \nL 154.769551 156.037507 \nL 152.980583 156.781095 \nL 151.22762 157.368803 \nL 149.492588 157.797617 \nL 147.760654 158.063811 \nL 146.020036 158.163154 \nL 144.261833 158.091175 \nL 142.479916 157.843413 \nL 140.670823 157.415678 \nL 138.833716 156.804374 \nL 136.970334 156.006836 \nL 135.084994 155.021713 \nL 133.184586 153.849362 \nL 131.278551 152.492312 \nL 129.3789 150.955709 \nL 127.500137 149.247793 \nL 125.659188 147.380332 \nL 123.875241 145.368991 \nL 122.169534 143.233657 \nL 120.565019 140.998594 \nL 119.085932 138.692418 \nL 117.757268 136.347897 \nL 116.604115 134.001467 \nL 115.650905 131.692473 \nL 114.920551 129.462189 \nL 114.433565 127.352541 \nL 114.207145 125.404674 \nL 114.254304 123.657394 \nL 114.583104 122.145637 \nL 115.196038 120.898996 \nL 116.089634 119.940552 \nL 117.254299 119.285969 \nL 118.674454 118.943069 \nL 120.328912 118.911782 \nL 122.191581 119.184614 \nL 124.232316 119.747415 \nL 126.41795 120.580488 \nL 128.713447 121.659876 \nL 131.083004 122.958711 \nL 133.491161 124.448508 \nL 135.903772 126.100375 \nL 138.288814 127.885974 \nL 140.617013 129.778308 \nL 142.862314 131.752246 \nL 145.002115 133.784871 \nL 147.017362 135.855601 \nL 148.892491 137.946184 \nL 150.615249 140.040587 \nL 152.176425 142.12478 \nL 153.569529 144.186525 \nL 154.790433 146.215082 \nL 155.836993 148.200969 \nL 156.70869 150.135706 \nL 157.406285 152.01157 \nL 157.931493 153.821407 \nL 158.286701 155.558409 \nL 158.474721 157.215964 \nL 158.498598 158.787511 \nL 158.361422 160.266387 \nL 158.066219 161.645714 \nL 157.615855 162.918316 \nL 157.012978 164.076594 \nL 156.26001 165.112473 \nL 155.359148 166.01731 \nL 154.312424 166.781847 \nL 153.121767 167.396175 \nL 151.78912 167.849716 \nL 150.316573 168.131249 \nL 148.706538 168.228922 \nL 146.961953 168.130384 \nL 145.086508 167.822908 \nL 143.084934 167.293611 \nL 140.963291 166.529759 \nL 138.729306 165.519155 \nL 136.392741 164.250665 \nL 133.965773 162.714825 \nL 131.463365 160.904619 \nL 128.903679 158.816374 \nL 126.308407 156.450767 \nL 123.703062 153.813913 \nL 121.117195 150.918547 \nL 118.584448 147.785105 \nL 116.142442 144.442733 \nL 113.832418 140.930041 \nL 111.698649 137.295439 \nL 109.787462 133.596951 \nL 108.146025 129.901367 \nL 106.820715 126.282583 \nL 105.855286 122.819174 \nL 105.288783 119.591168 \nL 105.153423 116.676257 \nL 105.47252 114.145734 \nL 106.258703 112.060479 \nL 107.512572 110.467391 \nL 109.221984 109.396808 \nL 111.362055 108.861096 \nL 113.895953 108.854638 \nL 116.776391 109.355148 \nL 119.947757 110.326174 \nL 123.348653 111.720473 \nL 126.914661 113.483692 \nL 130.581037 115.558087 \nL 134.285205 117.885881 \nL 137.96884 120.411916 \nL 141.579465 123.08565 \nL 145.071525 125.862377 \nL 148.40693 128.703725 \nL 151.55518 131.577661 \nL 154.493077 134.458091 \nL 157.204187 137.324234 \nL 159.678109 140.159817 \nL 161.909633 142.95232 \nL 163.897857 145.692192 \nL 165.64532 148.372205 \nL 167.157187 150.986834 \nL 168.440515 153.531805 \nL 169.503587 156.003684 \nL 170.355363 158.399551 \nL 171.005005 160.716784 \nL 171.461501 162.952832 \nL 171.733356 165.105056 \nL 171.828364 167.170621 \nL 171.753443 169.146367 \nL 171.514502 171.028705 \nL 171.116383 172.813507 \nL 170.562813 174.496029 \nL 169.856397 176.070788 \nL 168.998644 177.531455 \nL 167.990005 178.870742 \nL 166.829938 180.080263 \nL 165.516989 181.150419 \nL 164.048896 182.070218 \nL 162.422727 182.827176 \nL 160.635028 183.407124 \nL 158.682008 183.794108 \nL 156.559771 183.970243 \nL 154.26459 183.915668 \nL 151.793228 183.608466 \nL 149.143333 183.024766 \nL 146.313914 182.138865 \nL 143.305887 180.923571 \nL 140.122726 179.350731 \nL 136.771216 177.391994 \nL 133.262306 175.019955 \nL 129.612038 172.209629 \nL 125.842584 168.940409 \nL 121.983288 165.198481 \nL 118.071689 160.979715 \nL 114.15444 156.292986 \nL 110.288003 151.163705 \nL 106.538948 145.637369 \nL 102.983703 139.782649 \nL 99.70759 133.693545 \nL 96.802878 127.489921 \nL 94.365823 121.315776 \nL 92.492575 115.334717 \nL 91.274063 109.722287 \nL 90.79012 104.655538 \nL 91.103331 100.300267 \nL 92.253224 96.797742 \nL 94.251544 94.252419 \nL 97.079352 92.722762 \nL 100.686492 92.216805 \nL 104.993714 92.693197 \nL 109.897302 94.067728 \nL 115.275659 96.223883 \nL 120.997082 99.025721 \nL 126.927748 102.330913 \nL 132.939037 106.001994 \nL 138.913518 109.914858 \nL 144.749231 113.963955 \nL 150.36214 118.064312 \nL 155.68693 122.151247 \nL 160.67649 126.178307 \nL 165.300386 130.114382 \nL 169.542782 133.940502 \nL 173.400038 137.646835 \nL 176.878294 141.230007 \nL 179.991171 144.690967 \nL 182.757711 148.033321 \nL 185.200604 151.262149 \nL 187.344706 154.383164 \nL 189.21585 157.402163 \nL 190.839921 160.324722 \nL 192.242153 163.156006 \nL 193.446632 165.9007 \nL 194.475949 168.563018 \nL 196.090852 173.655128 \nL 197.232133 178.45785 \nL 198.016395 182.991894 \nL 198.534076 187.274673 \nL 198.954381 193.26037 \nL 199.079266 198.759183 \nL 198.997678 203.81049 \nL 198.752349 208.449436 \nL 198.353501 212.7073 \nL 197.78672 216.611313 \nL 197.016174 220.183949 \nL 196.361755 222.38993 \nL 195.56845 224.458694 \nL 194.607256 226.390552 \nL 193.442253 228.182484 \nL 192.0292 229.826775 \nL 190.313814 231.308957 \nL 188.229697 232.604752 \nL 185.695913 233.67556 \nL 184.230468 234.109037 \nL 182.614289 234.461811 \nL 180.831947 234.721571 \nL 178.866598 234.873258 \nL 176.699911 234.898513 \nL 174.312043 234.775015 \nL 171.681635 234.475705 \nL 168.785872 233.967904 \nL 165.600629 233.212298 \nL 162.100727 232.161821 \nL 158.260345 230.760447 \nL 154.053654 228.941975 \nL 149.455747 226.62888 \nL 144.443907 223.731427 \nL 138.999411 220.147279 \nL 133.109887 215.762018 \nL 126.772464 210.451078 \nL 119.997729 204.083819 \nL 112.814738 196.53063 \nL 105.276928 187.674101 \nL 97.469007 177.425217 \nL 89.51427 165.745241 \nL 81.581766 152.673184 \nL 73.892006 138.356995 \nL 66.719474 123.0844 \nL 60.389599 107.306019 \nL 55.267615 91.640531 \nL 51.736986 76.850246 \nL 50.166743 63.777975 \nL 50.869341 53.244706 \nL 54.054648 45.921507 \nL 59.788831 42.204503 \nL 67.969156 42.130657 \nL 78.323328 45.365583 \nL 90.436697 51.2723 \nL 103.802466 59.040114 \nL 117.88303 67.832176 \nL 132.168383 76.908812 \nL 146.220075 85.700788 \nL 159.695524 93.829524 \nL 172.35361 101.088006 \nL 184.046445 107.401808 \nL 194.703486 112.786277 \nL 204.313091 117.309658 \nL 212.905058 121.06565 \nL 220.53587 124.155334 \nL 227.277224 126.676521 \nL 233.207666 128.718345 \nL 238.406828 130.359155 \nL 246.914401 132.69733 \nL 253.351094 134.116578 \nL 258.167969 134.920975 \nL 263.10688 135.43739 \nL 268.074523 135.817316 \nL 268.009259 136.084453 \nL 267.243705 136.997683 \nL 265.740322 138.770812 \nL 264.59895 140.483995 \nL 263.981168 141.786051 \nL 263.664706 142.98538 \nL 263.647083 143.677964 \nL 263.792495 144.253074 \nL 264.100822 144.68665 \nL 264.565717 144.958325 \nL 265.174829 145.05217 \nL 265.91003 144.95752 \nL 266.747669 144.669897 \nL 268.131814 143.884488 \nL 269.564143 142.715666 \nL 270.911284 141.250648 \nL 272.033266 139.619721 \nL 272.798345 137.987372 \nL 273.05641 136.987645 \nL 273.087179 136.120262 \nL 272.880683 135.432277 \nL 272.439244 134.961838 \nL 271.777941 134.735436 \nL 270.924029 134.766141 \nL 269.915361 135.053173 \nL 268.797951 135.582615 \nL 267.622982 136.329132 \nL 265.868757 137.77893 \nL 264.276779 139.497981 \nL 262.995986 141.331628 \nL 262.372871 142.540918 \nL 261.963426 143.688079 \nL 261.783527 144.731572 \nL 261.841171 145.632898 \nL 262.136805 146.356975 \nL 262.66359 146.872722 \nL 263.407606 147.153716 \nL 264.347915 147.179128 \nL 265.456536 146.934988 \nL 266.698372 146.415687 \nL 268.031261 145.625678 \nL 269.406268 144.581243 \nL 270.768441 143.311948 \nL 272.058186 141.861584 \nL 273.213446 140.288007 \nL 274.172751 138.661679 \nL 274.879017 137.062502 \nL 275.283889 135.574975 \nL 275.352152 134.282084 \nL 275.065656 133.258453 \nL 274.789071 132.867041 \nL 274.42605 132.563924 \nL 273.980077 132.353436 \nL 272.85943 132.220433 \nL 271.478611 132.473608 \nL 269.904011 133.096278 \nL 268.21188 134.052667 \nL 266.482657 135.292457 \nL 264.795559 136.755788 \nL 263.22398 138.377936 \nL 261.832111 140.093106 \nL 260.67295 141.837114 \nL 259.78749 143.548944 \nL 259.204902 145.171503 \nL 258.943292 146.651767 \nL 259.010754 147.940624 \nL 259.40635 148.992708 \nL 260.12087 149.766443 \nL 261.137192 150.224481 \nL 262.430204 150.334684 \nL 263.96633 150.071762 \nL 265.702754 149.419629 \nL 267.586586 148.374457 \nL 269.554226 146.948221 \nL 271.531307 145.172351 \nL 273.433609 143.100902 \nL 275.169476 140.812327 \nL 276.643931 138.408914 \nL 277.764681 136.012894 \nL 278.44965 133.758886 \nL 278.60794 132.727932 \nL 278.635398 131.782883 \nL 278.52832 130.938787 \nL 278.285064 130.209134 \nL 277.906195 129.605478 \nL 277.394535 129.137138 \nL 276.755151 128.810973 \nL 275.995306 128.631258 \nL 275.124299 128.599628 \nL 274.153273 128.715167 \nL 273.094936 128.974527 \nL 270.773273 129.900596 \nL 268.280604 131.312247 \nL 265.742586 133.123471 \nL 263.279431 135.238062 \nL 260.998235 137.558095 \nL 258.988202 139.989857 \nL 257.318683 142.447091 \nL 256.039526 144.851959 \nL 255.183039 147.134531 \nL 254.766713 149.231409 \nL 254.796083 151.084096 \nL 254.97697 151.901538 \nL 255.267139 152.63746 \nL 255.664885 153.285327 \nL 256.168062 153.838708 \nL 256.774089 154.291298 \nL 257.479946 154.63693 \nL 258.28213 154.869619 \nL 259.176616 154.983616 \nL 260.158799 154.973501 \nL 261.223427 154.834263 \nL 262.364513 154.561449 \nL 263.575257 154.151323 \nL 266.173921 152.908827 \nL 268.945374 151.098536 \nL 271.797293 148.737536 \nL 274.617842 145.876421 \nL 277.276544 142.606662 \nL 279.628389 139.064944 \nL 280.641846 137.247005 \nL 281.521902 135.431832 \nL 282.250637 133.647321 \nL 282.811484 131.922446 \nL 283.189758 130.286483 \nL 283.373221 128.768132 \nL 283.35257 127.394594 \nL 283.121926 126.190666 \nL 282.679181 125.177852 \nL 282.026236 124.37366 \nL 281.16911 123.790996 \nL 280.117892 123.437844 \nL 278.8865 123.317123 \nL 277.492342 123.426829 \nL 275.9558 123.760368 \nL 274.299635 124.307085 \nL 272.54832 125.052934 \nL 270.727324 125.981213 \nL 268.862428 127.073346 \nL 265.101703 129.669826 \nL 261.455566 132.682461 \nL 258.085372 135.959655 \nL 255.117196 139.367453 \nL 252.64072 142.792535 \nL 250.712705 146.140774 \nL 249.964562 147.761012 \nL 249.363011 149.333493 \nL 248.90872 150.850045 \nL 248.601525 152.302884 \nL 248.440606 153.684524 \nL 248.424643 154.987608 \nL 248.551946 156.204863 \nL 248.820551 157.328968 \nL 249.2283 158.352496 \nL 249.772875 159.26786 \nL 250.451831 160.067255 \nL 251.262573 160.742624 \nL 252.202325 161.28565 \nL 253.268063 161.687785 \nL 254.456431 161.940258 \nL 255.763628 162.034171 \nL 257.185263 161.960582 \nL 258.7162 161.71067 \nL 260.350375 161.275912 \nL 262.080597 160.648352 \nL 263.898326 159.820915 \nL 265.793457 158.787777 \nL 267.754089 157.544818 \nL 269.766312 156.090138 \nL 271.813987 154.424617 \nL 273.878617 152.55254 \nL 275.939217 150.482213 \nL 277.972261 148.226603 \nL 279.951793 145.803877 \nL 281.849566 143.237845 \nL 283.635383 140.558226 \nL 285.277615 137.800651 \nL 286.743816 135.006358 \nL 288.001604 132.221529 \nL 289.019641 129.4962 \nL 289.76876 126.882805 \nL 290.223196 124.434333 \nL 290.361801 122.202225 \nL 290.1692 120.23417 \nL 289.636814 118.571905 \nL 288.763603 117.249259 \nL 287.556514 116.290652 \nL 286.030543 115.710044 \nL 284.208382 115.510724 \nL 282.119686 115.685583 \nL 279.79996 116.21816 \nL 277.289238 117.084113 \nL 274.630528 118.25302 \nL 271.868235 119.690348 \nL 269.046647 121.359388 \nL 266.208521 123.222995 \nL 263.39394 125.245017 \nL 260.639375 127.391425 \nL 257.977084 129.631044 \nL 255.434731 131.935987 \nL 253.035289 134.281776 \nL 250.797125 136.647289 \nL 248.734269 139.014515 \nL 246.856798 141.368225 \nL 245.1713 143.695582 \nL 243.681376 145.985776 \nL 242.388153 148.229626 \nL 241.290781 150.419227 \nL 240.386912 152.547641 \nL 239.673112 154.608615 \nL 239.145254 156.59636 \nL 238.798825 158.505318 \nL 238.629203 160.330007 \nL 238.631879 162.064842 \nL 238.802625 163.704025 \nL 239.137616 165.24139 \nL 239.633514 166.670316 \nL 240.287521 167.983609 \nL 241.097379 169.173406 \nL 242.061354 170.231073 \nL 243.178173 171.147139 \nL 244.446952 171.911197 \nL 245.867069 172.511872 \nL 247.438025 172.936738 \nL 249.159246 173.172347 \nL 251.02988 173.204234 \nL 253.048535 173.01699 \nL 255.212966 172.59442 \nL 257.519738 171.91977 \nL 259.96383 170.976074 \nL 262.538195 169.746631 \nL 265.233263 168.215638 \nL 268.036442 166.369007 \nL 270.931534 164.195379 \nL 273.898207 161.687374 \nL 276.911453 158.842977 \nL 279.941126 155.66719 \nL 282.951588 152.173693 \nL 285.901529 148.386585 \nL 288.744043 144.341917 \nL 291.427026 140.088944 \nL 293.894012 135.690737 \nL 296.085406 131.224012 \nL 297.940311 126.777851 \nL 299.398784 122.451204 \nL 300.404572 118.349066 \nL 300.908142 114.577452 \nL 300.869794 111.237538 \nL 300.262612 108.419392 \nL 299.074943 106.196003 \nL 297.312107 104.618435 \nL 294.997073 103.712656 \nL 292.169954 103.478443 \nL 288.886336 103.890718 \nL 285.214549 104.902872 \nL 281.23214 106.451646 \nL 277.021894 108.462884 \nL 272.667847 110.857415 \nL 268.251542 113.55627 \nL 263.848888 116.484936 \nL 259.52777 119.576333 \nL 255.346485 122.772538 \nL 251.352946 126.025391 \nL 247.584602 129.296221 \nL 244.068896 132.555025 \nL 240.824116 135.779297 \nL 237.860527 138.952702 \nL 235.181589 142.063833 \nL 232.785242 145.105058 \nL 230.665106 148.071512 \nL 228.811604 150.960317 \nL 227.212959 153.769915 \nL 225.85604 156.499612 \nL 224.727079 159.149186 \nL 223.812248 161.718652 \nL 223.098122 164.208064 \nL 222.57203 166.617377 \nL 222.222318 168.946362 \nL 222.038532 171.194511 \nL 222.011546 173.360995 \nL 222.133626 175.444598 \nL 222.398476 177.443674 \nL 222.801232 179.356058 \nL 223.338451 181.179034 \nL 224.008074 182.909209 \nL 224.809387 184.542458 \nL 225.74296 186.073784 \nL 226.810594 187.497221 \nL 228.015255 188.805666 \nL 229.361002 189.990726 \nL 230.852903 191.042544 \nL 232.496947 191.949574 \nL 234.29993 192.698377 \nL 236.269329 193.27338 \nL 238.413138 193.656629 \nL 240.739663 193.82754 \nL 243.25727 193.762665 \nL 245.974063 193.43549 \nL 248.897485 192.816293 \nL 252.033817 191.872118 \nL 255.387546 190.566897 \nL 258.960621 188.861799 \nL 262.751513 186.715888 \nL 266.754135 184.087238 \nL 270.95655 180.934551 \nL 275.339517 177.219482 \nL 279.874889 172.909716 \nL 284.523894 167.982992 \nL 289.235468 162.431972 \nL 293.944682 156.269896 \nL 298.57161 149.53677 \nL 303.020814 142.305446 \nL 307.181853 134.686822 \nL 310.931146 126.832966 \nL 314.135566 118.936842 \nL 316.657965 111.227346 \nL 318.364682 103.958586 \nL 319.134727 97.39339 \nL 318.869937 91.78197 \nL 317.504988 87.33819 \nL 315.015882 84.217227 \nL 311.425436 82.498614 \nL 306.804573 82.178359 \nL 301.268854 83.171996 \nL 294.970468 85.327945 \nL 288.086799 88.448514 \nL 280.807152 92.313964 \nL 273.319612 96.705447 \nL 265.799633 101.423181 \nL 258.401423 106.29813 \nL 251.252674 111.197163 \nL 244.452393 116.022882 \nL 238.071355 120.709791 \nL 232.154425 125.218629 \nL 226.724003 129.5301 \nL 221.783966 133.639133 \nL 217.323625 137.549967 \nL 213.321417 141.272368 \nL 209.748119 144.818856 \nL 206.569554 148.202793 \nL 203.748768 151.437197 \nL 201.247729 154.534041 \nL 199.028593 157.503921 \nL 195.290783 163.09768 \nL 192.264207 168.274316 \nL 188.553402 175.332253 \nL 185.279071 181.589682 \nL 183.090018 185.31806 \nL 180.753329 188.675806 \nL 179.495791 190.207274 \nL 178.161824 191.634021 \nL 176.739092 192.949763 \nL 175.215409 194.146861 \nL 173.578635 195.216147 \nL 171.81659 196.146696 \nL 169.917011 196.925592 \nL 167.867535 197.537663 \nL 165.655734 197.965188 \nL 163.269197 198.187603 \nL 160.69566 198.181188 \nL 157.92325 197.918783 \nL 154.940773 197.369531 \nL 151.738156 196.498705 \nL 148.306996 195.267681 \nL 144.641273 193.634099 \nL 140.738255 191.552321 \nL 136.599601 188.974315 \nL 132.232697 185.851117 \nL 127.652222 182.134977 \nL 122.881946 177.782412 \nL 117.95669 172.75835 \nL 112.924422 167.041361 \nL 107.848276 160.630083 \nL 102.808295 153.550511 \nL 97.902651 145.863754 \nL 93.247841 137.673343 \nL 88.977467 129.130808 \nL 85.239131 120.437876 \nL 82.188985 111.843446 \nL 79.983776 103.633723 \nL 78.770519 96.11475 \nL 78.674471 89.587873 \nL 79.786581 84.32057 \nL 82.152137 80.51713 \nL 85.76255 78.294546 \nL 90.551949 77.668973 \nL 96.399751 78.556029 \nL 103.139136 80.785208 \nL 110.570327 84.125207 \nL 118.476642 88.314424 \nL 126.640785 93.090638 \nL 134.85925 98.214771 \nL 142.953173 103.486185 \nL 150.775036 108.749274 \nL 165.182013 118.845336 \nL 171.637412 123.566316 \nL 177.55406 128.039301 \nL 182.929771 132.263968 \nL 187.778857 136.250164 \nL 192.127732 140.013316 \nL 196.011136 143.571144 \nL 199.469018 146.941531 \nL 202.544076 150.141222 \nL 205.279865 153.185119 \nL 209.904292 158.854479 \nL 213.665142 164.026619 \nL 223.756291 178.688928 \nL 226.569352 181.893321 \nL 228.058285 183.314171 \nL 229.622415 184.605135 \nL 231.27586 185.757709 \nL 233.032035 186.761787 \nL 234.903749 187.605514 \nL 236.903249 188.275085 \nL 239.042214 188.754585 \nL 241.331716 189.025807 \nL 243.782096 189.068057 \nL 246.402766 188.858065 \nL 249.201948 188.369905 \nL 252.186288 187.575015 \nL 255.360381 186.442371 \nL 258.726158 184.938854 \nL 262.282149 183.029905 \nL 266.022579 180.680476 \nL 269.936346 177.856498 \nL 274.00582 174.526794 \nL 278.205585 170.665703 \nL 282.501063 166.256311 \nL 286.847197 161.294386 \nL 291.187289 155.792845 \nL 295.452118 149.786605 \nL 299.559613 143.337299 \nL 303.415316 136.537316 \nL 306.913915 129.512233 \nL 309.942074 122.420816 \nL 312.382782 115.451473 \nL 314.12121 108.814521 \nL 315.051884 102.730102 \nL 315.086676 97.412249 \nL 314.162876 93.050829 \nL 312.250316 89.793685 \nL 309.356412 87.732034 \nL 305.528249 86.891827 \nL 300.851088 87.232895 \nL 295.443254 88.65604 \nL 289.448022 91.016791 \nL 283.023555 94.143047 \nL 276.332286 97.85332 \nL 269.530991 101.972802 \nL 262.7627 106.345271 \nL 256.150903 110.840148 \nL 249.796336 115.35505 \nL 243.776013 119.814803 \nL 238.144087 124.168199 \nL 232.933976 128.383632 \nL 228.161242 132.444497 \nL 223.826749 136.344985 \nL 219.919821 140.086537 \nL 216.421146 143.675027 \nL 213.305337 147.118754 \nL 210.543085 150.426987 \nL 208.102902 153.609034 \nL 205.9525 156.673718 \nL 204.059824 159.629037 \nL 202.393812 162.482093 \nL 199.625414 167.905241 \nL 197.433939 172.982696 \nL 195.638652 177.743049 \nL 190.542718 192.145896 \nL 189.015045 195.645843 \nL 187.310232 198.86874 \nL 185.356863 201.800601 \nL 184.264287 203.150161 \nL 183.081816 204.416617 \nL 181.799466 205.594548 \nL 180.406736 206.67728 \nL 178.892538 207.656695 \nL 177.245124 208.522974 \nL 175.452056 209.264296 \nL 173.500163 209.866534 \nL 171.375558 210.312855 \nL 169.063667 210.58331 \nL 166.549322 210.654368 \nL 163.816904 210.498403 \nL 160.850569 210.083177 \nL 157.634591 209.371305 \nL 154.153815 208.319795 \nL 150.394285 206.879658 \nL 146.344096 204.995744 \nL 141.99447 202.606887 \nL 137.341156 199.646557 \nL 132.386163 196.044239 \nL 127.139908 191.727805 \nL 121.623757 186.627225 \nL 115.872945 180.679937 \nL 109.939866 173.838218 \nL 103.89746 166.078728 \nL 97.842509 157.414085 \nL 91.89828 147.905937 \nL 86.215992 137.678277 \nL 80.974147 126.928823 \nL 76.374966 115.935401 \nL 72.636904 105.053664 \nL 69.982782 94.702568 \nL 68.62346 85.335363 \nL 68.738221 77.396783 \nL 70.453913 71.271253 \nL 73.826163 67.231115 \nL 78.826445 65.396706 \nL 85.338252 65.718725 \nL 93.164212 67.988758 \nL 102.043491 71.87574 \nL 111.676595 76.978975 \nL 121.752956 82.884561 \nL 131.976547 89.212855 \nL 151.866368 101.959355 \nL 185.179924 123.669564 \nL 197.763246 132.105921 \nL 207.839033 139.19441 \nL 215.823414 145.209017 \nL 222.175903 150.366374 \nL 229.582132 156.795809 \nL 235.512159 161.854302 \nL 239.110778 164.487585 \nL 240.884269 165.574587 \nL 242.669103 166.501401 \nL 244.483247 167.261065 \nL 246.342123 167.845399 \nL 248.258751 168.24511 \nL 250.243831 168.44992 \nL 252.305781 168.448669 \nL 254.45073 168.22953 \nL 256.682428 167.780229 \nL 259.002139 167.088356 \nL 261.408452 166.141782 \nL 263.897042 164.929178 \nL 266.460432 163.44064 \nL 269.08766 161.668488 \nL 271.763993 159.608156 \nL 274.470619 157.259276 \nL 277.184393 154.626781 \nL 279.877643 151.722173 \nL 282.518122 148.564707 \nL 285.069107 145.182492 \nL 287.489743 141.613393 \nL 289.735631 137.90551 \nL 291.759782 134.11716 \nL 293.513866 130.316126 \nL 294.949825 126.57812 \nL 296.021812 122.984389 \nL 296.688349 119.618447 \nL 296.914591 116.562174 \nL 296.674542 113.891462 \nL 295.953037 111.671962 \nL 294.747255 109.955181 \nL 293.067633 108.775482 \nL 290.937991 108.148402 \nL 288.394844 108.070411 \nL 285.48593 108.520131 \nL 282.268037 109.460872 \nL 278.804386 110.844122 \nL 275.161711 112.613491 \nL 271.407393 114.708664 \nL 267.606792 117.069056 \nL 263.820992 119.636724 \nL 260.105059 122.358558 \nL 256.506864 125.187582 \nL 253.066466 128.083564 \nL 249.815962 131.013035 \nL 246.779753 133.948853 \nL 243.975109 136.869528 \nL 241.412933 139.758376 \nL 239.098648 142.602688 \nL 237.033135 145.392912 \nL 235.213627 148.121924 \nL 233.634592 150.784413 \nL 232.288502 153.376371 \nL 231.166525 155.894663 \nL 230.259115 158.33672 \nL 229.556503 160.700246 \nL 229.049099 162.983066 \nL 228.72781 165.182918 \nL 228.584278 167.297354 \nL 228.611065 169.323624 \nL 228.801772 171.258559 \nL 229.151123 173.098493 \nL 229.655004 174.839169 \nL 230.310477 176.47562 \nL 231.115758 178.002082 \nL 232.070184 179.411866 \nL 233.174158 180.697229 \nL 234.429074 181.849255 \nL 235.83721 182.857684 \nL 237.40163 183.710781 \nL 239.126032 184.395152 \nL 241.014589 184.895619 \nL 243.071737 185.195061 \nL 245.301936 185.274277 \nL 247.709377 185.111923 \nL 250.297615 184.684496 \nL 253.069149 183.966389 \nL 256.024899 182.930099 \nL 259.163603 181.546635 \nL 262.481104 179.786114 \nL 265.969518 177.618688 \nL 269.616313 175.015827 \nL 273.40327 171.952059 \nL 277.305383 168.407207 \nL 281.289736 164.369108 \nL 285.314412 159.836914 \nL 289.327574 154.824739 \nL 293.266825 149.365525 \nL 297.05903 143.514779 \nL 300.6208 137.353679 \nL 303.859842 130.990887 \nL 306.6774 124.562402 \nL 308.971827 118.228653 \nL 310.643411 112.168395 \nL 311.600184 106.56924 \nL 311.764428 101.61517 \nL 311.079244 97.472374 \nL 309.514435 94.274928 \nL 307.070877 92.112674 \nL 303.782627 91.0233 \nL 299.7163 90.990086 \nL 294.967558 91.945918 \nL 289.655082 93.782571 \nL 283.912778 96.363815 \nL 277.881172 99.539764 \nL 271.69907 103.160294 \nL 265.496309 107.085938 \nL 259.388234 111.195176 \nL 253.472136 115.388196 \nL 247.82559 119.587562 \nL 242.506425 123.736687 \nL 237.55393 127.796935 \nL 232.990877 131.744153 \nL 228.825998 135.565271 \nL 225.056592 139.25516 \nL 221.671056 142.814101 \nL 218.6512 146.245761 \nL 215.974265 149.555715 \nL 213.61462 152.750395 \nL 211.545145 155.836431 \nL 209.738311 158.82022 \nL 208.167007 161.707707 \nL 206.805142 164.504269 \nL 205.628055 167.214721 \nL 203.738199 172.393841 \nL 202.336067 177.27368 \nL 201.289907 181.877014 \nL 200.1657 188.303742 \nL 199.117336 196.058671 \nL 197.761854 206.144279 \nL 196.958084 210.563063 \nL 195.957339 214.599346 \nL 195.136656 217.085508 \nL 194.157404 219.410025 \nL 192.983074 221.571028 \nL 191.570131 223.561981 \nL 189.866174 225.369743 \nL 187.807885 226.971732 \nL 186.622531 227.684927 \nL 185.318721 228.331735 \nL 183.884413 228.904504 \nL 182.306417 229.393826 \nL 180.570325 229.788188 \nL 178.660443 230.073546 \nL 176.559734 230.232828 \nL 174.249796 230.245345 \nL 171.71086 230.086115 \nL 168.92186 229.725072 \nL 165.86056 229.12618 \nL 162.503795 228.246459 \nL 158.827843 227.034938 \nL 154.808998 225.431594 \nL 150.424382 223.366365 \nL 145.653096 220.758391 \nL 140.477766 217.515649 \nL 134.886634 213.535388 \nL 128.876273 208.7057 \nL 122.455042 202.908899 \nL 115.647371 196.027388 \nL 108.498927 187.95286 \nL 101.082508 178.599683 \nL 93.504481 167.923073 \nL 85.911124 155.942009 \nL 78.493955 142.765787 \nL 71.492615 128.621108 \nL 65.193458 113.874298 \nL 59.921616 99.040607 \nL 56.024625 84.771079 \nL 53.846488 71.808557 \nL 53.692904 60.909776 \nL 55.791436 52.740752 \nL 60.253192 47.76527 \nL 67.044799 46.155943 \nL 75.979017 47.757082 \nL 86.7289 52.115008 \nL 98.863989 58.568776 \nL 111.900922 66.373093 \nL 151.856006 91.415157 \nL 164.267677 98.866313 \nL 175.848308 105.525533 \nL 186.493919 111.356777 \nL 196.163672 116.389267 \nL 204.863926 120.688978 \nL 212.633743 124.338133 \nL 219.532911 127.421967 \nL 231.009271 132.207843 \nL 239.894726 135.584713 \nL 246.754801 137.943426 \nL 252.068587 139.553241 \nL 256.218758 140.597136 \nL 259.499102 141.20116 \nL 262.128116 141.455552 \nL 264.263418 141.428924 \nL 266.014933 141.177599 \nL 267.456184 140.751457 \nL 268.633714 140.197485 \nL 269.574936 139.5616 \nL 270.573814 138.553163 \nL 271.095993 137.609964 \nL 271.18732 137.083974 \nL 271.08235 136.679646 \nL 270.79434 136.422942 \nL 270.34239 136.331444 \nL 269.751577 136.413641 \nL 268.672663 136.858514 \nL 267.469048 137.652077 \nL 266.267431 138.720553 \nL 265.189734 139.965936 \nL 264.341702 141.27749 \nL 263.804877 142.541663 \nL 263.632111 143.649683 \nL 263.731558 144.25256 \nL 264.002584 144.716644 \nL 264.438425 145.020198 \nL 265.026559 145.145929 \nL 265.748799 145.081779 \nL 266.58151 144.82182 \nL 267.495846 144.367191 \nL 268.945708 143.342558 \nL 270.372907 141.9704 \nL 271.635728 140.364131 \nL 272.593489 138.67755 \nL 273.000737 137.596988 \nL 273.189425 136.615899 \nL 273.14159 135.786552 \nL 272.851005 135.154426 \nL 272.324305 134.754827 \nL 271.581131 134.610356 \nL 270.653159 134.729578 \nL 269.582174 135.106951 \nL 268.41733 135.723994 \nL 267.211949 136.551363 \nL 265.44607 138.102808 \nL 263.882322 139.893495 \nL 262.665023 141.764896 \nL 262.100376 142.979916 \nL 261.759495 144.117365 \nL 261.655731 145.136105 \nL 261.794558 145.998204 \nL 262.173917 146.669359 \nL 262.784479 147.11944 \nL 263.609804 147.323273 \nL 264.626364 147.261692 \nL 265.803478 146.922912 \nL 267.103215 146.30413 \nL 268.480516 145.413356 \nL 269.883545 144.271188 \nL 271.254648 142.912185 \nL 272.531981 141.385595 \nL 273.652012 139.754822 \nL 274.552867 138.095408 \nL 275.178495 136.491238 \nL 275.483214 135.029055 \nL 275.436174 133.791852 \nL 275.276094 133.280773 \nL 275.025067 132.851787 \nL 274.684843 132.511191 \nL 274.258518 132.263899 \nL 273.750517 132.113364 \nL 272.513275 132.108825 \nL 271.031382 132.495269 \nL 269.376769 133.248423 \nL 267.629499 134.325961 \nL 265.871964 135.672443 \nL 264.183493 137.224496 \nL 262.63605 138.915343 \nL 261.291281 140.678339 \nL 260.19891 142.449249 \nL 259.396355 144.167537 \nL 258.909194 145.776821 \nL 258.752128 147.224812 \nL 258.93009 148.46312 \nL 259.439227 149.447062 \nL 260.26757 150.135792 \nL 261.395238 150.492884 \nL 262.794226 150.487506 \nL 264.427758 150.096325 \nL 266.249429 149.306179 \nL 268.202312 148.117385 \nL 270.218395 146.547516 \nL 272.218733 144.63515 \nL 274.114762 142.44286 \nL 275.811264 140.058461 \nL 277.211176 137.593554 \nL 278.222294 135.178356 \nL 278.765489 132.952766 \nL 278.842593 131.954444 \nL 278.783341 131.054027 \nL 278.585255 130.265979 \nL 278.24806 129.6029 \nL 277.773804 129.07518 \nL 277.166867 128.690749 \nL 276.433908 128.454891 \nL 275.583746 128.370194 \nL 274.627165 128.436554 \nL 273.576682 128.651317 \nL 271.250832 129.503951 \nL 268.728633 130.865018 \nL 266.13878 132.648827 \nL 263.605751 134.757756 \nL 261.241528 137.091502 \nL 259.140176 139.553575 \nL 257.375447 142.05502 \nL 256.000882 144.515654 \nL 255.051672 146.863669 \nL 254.547472 149.034221 \nL 254.495402 150.967726 \nL 254.638375 151.827992 \nL 254.892688 152.608202 \nL 255.256755 153.30172 \nL 255.728572 153.902002 \nL 256.305708 154.402606 \nL 256.985299 154.797212 \nL 257.764022 155.079645 \nL 258.638053 155.243935 \nL 259.603015 155.284387 \nL 260.653902 155.195664 \nL 261.785015 154.972928 \nL 262.989859 154.611972 \nL 264.261057 154.109415 \nL 266.968025 152.671256 \nL 269.825756 150.655975 \nL 272.734744 148.089352 \nL 275.575261 145.033987 \nL 278.209059 141.59634 \nL 280.484624 137.929954 \nL 281.439379 136.071177 \nL 282.246829 134.232031 \nL 282.8893 132.441944 \nL 283.35084 130.731022 \nL 283.617761 129.129147 \nL 283.679209 127.665045 \nL 283.527681 126.365311 \nL 283.159405 125.253479 \nL 282.574701 124.349199 \nL 281.778096 123.667569 \nL 280.778365 123.218687 \nL 279.588349 123.007419 \nL 278.224655 123.033456 \nL 276.707153 123.291582 \nL 275.058426 123.772154 \nL 273.303051 124.461783 \nL 271.466912 125.344078 \nL 269.576436 126.400435 \nL 267.657922 127.610856 \nL 263.837568 130.411101 \nL 260.191702 133.58192 \nL 256.873819 136.973539 \nL 253.999886 140.456502 \nL 251.64908 143.922824 \nL 249.868581 147.283387 \nL 249.199858 148.900225 \nL 248.680396 150.463473 \nL 248.310186 151.965251 \nL 248.088517 153.398006 \nL 248.014129 154.754379 \nL 248.085358 156.027101 \nL 248.300257 157.208889 \nL 248.656679 158.292371 \nL 249.152324 159.270009 \nL 249.784793 160.134035 \nL 250.55156 160.876441 \nL 251.449966 161.488919 \nL 252.477155 161.962895 \nL 253.629996 162.289522 \nL 254.904973 162.459756 \nL 256.298059 162.464433 \nL 257.804563 162.294387 \nL 259.418944 161.940644 \nL 261.134613 161.394646 \nL 262.94372 160.648523 \nL 264.836921 159.695474 \nL 266.803142 158.530182 \nL 268.829336 157.149321 \nL 270.900283 155.552122 \nL 272.998369 153.740983 \nL 275.103462 151.722122 \nL 277.192811 149.506262 \nL 279.241066 147.109222 \nL 281.220382 144.552491 \nL 283.100703 141.863562 \nL 284.850162 139.07613 \nL 286.435682 136.229926 \nL 287.823769 133.370232 \nL 288.981464 130.546947 \nL 289.877457 127.813259 \nL 290.48334 125.223888 \nL 290.774868 122.833023 \nL 290.733239 120.69201 \nL 290.346205 118.847015 \nL 289.609029 117.33686 \nL 288.525105 116.19118 \nL 287.106175 115.429101 \nL 285.372201 115.058657 \nL 283.350736 115.076814 \nL 281.075958 115.470264 \nL 278.587341 116.216806 \nL 275.928126 117.28715 \nL 273.143684 118.646898 \nL 270.27988 120.258657 \nL 267.381545 122.083928 \nL 264.491152 124.084777 \nL 261.64778 126.225122 \nL 258.886316 128.471653 \nL 256.236996 130.79441 \nL 253.725186 133.167015 \nL 251.371411 135.566642 \nL 249.191581 137.973831 \nL 247.197349 140.372164 \nL 245.396562 142.747878 \nL 243.793799 145.089461 \nL 242.390884 147.38721 \nL 241.187426 149.632892 \nL 240.181318 151.819384 \nL 239.369202 153.940372 \nL 238.746874 155.990084 \nL 238.309641 157.96308 \nL 238.052623 159.854052 \nL 237.970991 161.657654 \nL 238.060172 163.368371 \nL 238.315991 164.980369 \nL 238.73477 166.487398 \nL 239.313392 167.882673 \nL 240.049335 169.158752 \nL 240.940659 170.307472 \nL 241.985957 171.319831 \nL 243.184305 172.185913 \nL 244.535142 172.894804 \nL 246.038154 173.434533 \nL 247.693094 173.792036 \nL 249.499593 173.953166 \nL 251.456918 173.902702 \nL 253.563689 173.624457 \nL 255.817557 173.101465 \nL 258.21482 172.316218 \nL 260.750013 171.25109 \nL 263.415423 169.888867 \nL 266.200563 168.213437 \nL 269.091639 166.210755 \nL 272.070939 163.869917 \nL 275.116282 161.184568 \nL 278.200448 158.154427 \nL 281.290731 154.787028 \nL 284.348604 151.099555 \nL 287.329596 147.120613 \nL 290.183475 142.891784 \nL 292.854789 138.468782 \nL 295.28385 133.921865 \nL 297.408251 129.335302 \nL 299.164933 124.805626 \nL 300.492729 120.438467 \nL 301.335372 116.344079 \nL 301.644761 112.631665 \nL 301.384187 109.402854 \nL 300.531337 106.745179 \nL 299.080621 104.726043 \nL 297.044585 103.388238 \nL 294.454175 102.747368 \nL 291.357702 102.79182 \nL 287.818609 103.485038 \nL 283.912206 104.769861 \nL 279.721713 106.574259 \nL 275.334017 108.817587 \nL 270.835508 111.416542 \nL 266.308414 114.290377 \nL 261.827825 117.364764 \nL 257.459573 120.574321 \nL 253.25897 123.863806 \nL 249.270344 127.188285 \nL 245.52725 130.512491 \nL 242.053173 133.809692 \nL 238.862604 137.060378 \nL 235.962272 140.250835 \nL 233.352487 143.371858 \nL 231.028445 146.417614 \nL 228.981454 149.384684 \nL 227.200044 152.271332 \nL 225.670928 155.076887 \nL 224.379813 157.801334 \nL 223.312075 160.445006 \nL 222.453286 163.00834 \nL 221.789641 165.491731 \nL 221.308259 167.895426 \nL 220.997417 170.219442 \nL 220.846704 172.463515 \nL 220.847106 174.627036 \nL 220.991074 176.70902 \nL 221.272526 178.708036 \nL 221.686843 180.622167 \nL 222.230845 182.448937 \nL 222.902743 184.185228 \nL 223.702099 185.827204 \nL 224.629762 187.370187 \nL 225.687821 188.808535 \nL 226.879531 190.135514 \nL 228.209257 191.343126 \nL 229.682392 192.42191 \nL 231.305281 193.360762 \nL 233.085121 194.146694 \nL 235.029842 194.76458 \nL 237.147959 195.196906 \nL 239.4484 195.423497 \nL 241.94026 195.421248 \nL 244.632519 195.163889 \nL 247.533653 194.621784 \nL 250.651171 193.761835 \nL 253.991027 192.547513 \nL 257.556876 190.93909 \nL 261.349189 188.894183 \nL 265.364163 186.368696 \nL 269.592455 183.318273 \nL 274.017712 179.700457 \nL 278.614888 175.477615 \nL 283.34848 170.620841 \nL 288.170658 165.11482 \nL 293.019531 158.963638 \nL 297.817666 152.197315 \nL 302.471236 144.878527 \nL 306.870045 137.108794 \nL 310.888923 129.032861 \nL 314.39084 120.84001 \nL 317.23204 112.760617 \nL 319.269412 105.056816 \nL 320.369794 98.006561 \nL 320.420701 91.881921 \nL 319.34132 86.923705 \nL 317.092389 83.316107 \nL 313.683224 81.166136 \nL 309.174583 80.491932 \nL 303.676343 81.222835 \nL 297.3401 83.211445 \nL 290.347585 86.254914 \nL 282.896671 90.121066 \nL 275.18695 94.574096 \nL 267.406858 99.395772 \nL 259.723741 104.399604 \nL 252.277436 109.437713 \nL 245.177376 114.401376 \nL 238.502675 119.217314 \nL 232.304383 123.841528 \nL 226.609071 128.252445 \nL 221.423048 132.444462 \nL 216.736645 136.422445 \nL 212.528225 140.197417 \nL 208.767694 143.783449 \nL 205.419456 147.195521 \nL 202.44479 150.448133 \nL 199.803694 153.554579 \nL 197.456275 156.526531 \nL 193.489066 162.105053 \nL 190.256445 167.243807 \nL 181.466581 182.15304 \nL 178.970536 185.539538 \nL 177.641532 187.074719 \nL 176.23995 188.497547 \nL 174.752542 189.801255 \nL 173.166438 190.977661 \nL 171.469035 192.016996 \nL 169.647921 192.907701 \nL 167.690824 193.636198 \nL 165.585615 194.186658 \nL 163.320346 194.540739 \nL 160.883365 194.677335 \nL 158.263474 194.572331 \nL 155.4502 194.198404 \nL 152.434126 193.524877 \nL 149.207376 192.517686 \nL 145.764209 191.139532 \nL 142.101775 189.35025 \nL 138.221048 187.107548 \nL 134.127954 184.368147 \nL 129.834672 181.089574 \nL 125.361172 177.232612 \nL 120.736849 172.764611 \nL 116.002315 167.663774 \nL 111.211143 161.92431 \nL 106.431417 155.562477 \nL 101.7469 148.623042 \nL 97.257455 141.185615 \nL 93.078371 133.369898 \nL 89.338231 125.338605 \nL 86.174927 117.296623 \nL 83.729632 109.485042 \nL 82.138679 102.169056 \nL 81.523807 95.619756 \nL 81.981494 90.091227 \nL 83.572648 85.795532 \nL 86.31414 82.879988 \nL 90.173763 81.410713 \nL 95.069698 81.366433 \nL 100.875054 82.643839 \nL 107.427014 85.073554 \nL 114.5393 88.443221 \nL 122.016135 92.523014 \nL 129.665729 97.088911 \nL 137.311649 101.940341 \nL 144.801011 106.91089 \nL 152.009241 111.87219 \nL 158.841598 116.732562 \nL 165.232141 121.432343 \nL 171.140959 125.937576 \nL 176.55037 130.233467 \nL 181.460775 134.318519 \nL 185.88657 138.199685 \nL 189.852445 141.888683 \nL 193.390167 145.399361 \nL 196.535934 148.745947 \nL 199.32826 151.941955 \nL 201.806357 154.99959 \nL 204.008935 157.929498 \nL 207.735052 163.440683 \nL 210.780702 168.529821 \nL 219.173532 183.366673 \nL 221.592521 186.759671 \nL 222.885147 188.303263 \nL 224.251126 189.738283 \nL 225.703335 191.058265 \nL 227.254365 192.255376 \nL 228.91663 193.320233 \nL 230.702453 194.241686 \nL 232.624112 195.006596 \nL 234.693853 195.599589 \nL 236.923859 196.002777 \nL 239.326145 196.195489 \nL 241.912427 196.153993 \nL 244.693867 195.851248 \nL 247.680761 195.256723 \nL 250.88209 194.336272 \nL 254.304954 193.052198 \nL 257.953842 191.363518 \nL 261.829729 189.22654 \nL 265.928966 186.595869 \nL 270.24197 183.425993 \nL 274.751703 179.673564 \nL 279.431951 175.300546 \nL 284.245475 170.278351 \nL 289.1421 164.593026 \nL 294.056927 158.251363 \nL 298.90888 151.287767 \nL 303.599892 143.771235 \nL 308.015076 135.811646 \nL 312.024378 127.564032 \nL 315.486033 119.22933 \nL 318.252229 111.050072 \nL 320.177037 103.299661 \nL 321.126314 96.264805 \nL 320.988964 90.222097 \nL 319.688299 85.41123 \nL 317.191911 82.009101 \nL 313.518371 80.109599 \nL 308.739291 79.713477 \nL 302.975986 80.730821 \nL 296.390875 82.995749 \nL 289.174821 86.290098 \nL 281.532361 90.371039 \nL 273.66688 94.9973 \nL 265.767825 99.949898 \nL 258.001101 105.045202 \nL 250.503269 110.140438 \nL 243.379295 115.133068 \nL 236.703248 119.95602 \nL 230.521043 124.570907 \nL 224.854395 128.960874 \nL 219.705248 133.124037 \nL 215.060181 137.068017 \nL 210.894433 140.8058 \nL 207.175404 144.35276 \nL 203.865536 147.724671 \nL 200.924625 150.93649 \nL 198.311581 154.00167 \nL 195.985742 156.931886 \nL 192.040397 162.424949 \nL 188.799716 167.473926 \nL 180.999977 180.214414 \nL 178.44762 183.66143 \nL 177.101025 185.223608 \nL 175.687826 186.671445 \nL 174.194175 187.998313 \nL 172.606759 189.196203 \nL 170.912678 190.255533 \nL 169.09935 191.164973 \nL 167.154463 191.911246 \nL 165.065956 192.478891 \nL 162.822069 192.85003 \nL 160.411432 193.004145 \nL 157.823227 192.917859 \nL 155.047443 192.564754 \nL 152.07521 191.915276 \nL 148.899243 190.936734 \nL 145.514436 189.593456 \nL 141.918583 187.847221 \nL 138.113272 185.657972 \nL 134.104949 182.984991 \nL 129.906179 179.788598 \nL 125.537056 176.032572 \nL 121.026767 171.68727 \nL 116.415234 166.733696 \nL 111.754723 161.168347 \nL 107.111241 155.008805 \nL 102.565566 148.299678 \nL 98.213531 141.118399 \nL 94.165339 133.579916 \nL 90.543442 125.839209 \nL 87.478754 118.090331 \nL 85.104988 110.560747 \nL 83.551091 103.500112 \nL 82.932166 97.163579 \nL 83.339636 91.790809 \nL 84.831706 87.583127 \nL 87.425523 84.682587 \nL 91.092411 83.156682 \nL 95.75722 82.992118 \nL 101.302277 84.099016 \nL 107.575602 86.324752 \nL 114.402217 89.474612 \nL 121.597018 93.33494 \nL 128.977339 97.694751 \nL 136.373715 102.362569 \nL 143.637875 107.177085 \nL 150.647577 112.011642 \nL 157.308448 116.773758 \nL 163.55338 121.401305 \nL 169.340201 125.857007 \nL 174.648305 130.122527 \nL 179.474835 134.192976 \nL 183.83087 138.072301 \nL 187.737883 141.769692 \nL 191.224654 145.296961 \nL 194.324672 148.666774 \nL 197.074048 151.891474 \nL 199.509889 154.982452 \nL 201.669074 157.949813 \nL 203.587383 160.802278 \nL 206.835625 166.190653 \nL 209.501408 171.191959 \nL 216.987495 185.943308 \nL 219.191637 189.378998 \nL 220.3759 190.957817 \nL 221.631393 192.438521 \nL 222.970093 193.815737 \nL 224.403862 195.082866 \nL 225.944564 196.23192 \nL 227.604161 197.253311 \nL 229.394779 198.135619 \nL 231.328742 198.865336 \nL 233.418579 199.426579 \nL 235.676971 199.800783 \nL 238.116666 199.966367 \nL 240.750315 199.898401 \nL 243.590238 199.568292 \nL 246.648075 198.943511 \nL 249.934343 197.987388 \nL 253.457835 196.659068 \nL 257.224847 194.913694 \nL 261.238217 192.702878 \nL 265.496138 189.975678 \nL 269.990713 186.680147 \nL 274.706266 182.765698 \nL 279.617411 178.186457 \nL 284.686906 172.905776 \nL 289.86342 166.902003 \nL 295.079358 160.175497 \nL 300.248984 152.75663 \nL 305.2672 144.71422 \nL 310.009409 136.163351 \nL 314.333021 127.271141 \nL 318.08103 118.258561 \nL 321.088226 109.396277 \nL 323.19012 100.992765 \nL 324.234397 93.373979 \nL 324.094093 86.855512 \nL 322.681079 81.710395 \nL 319.95787 78.137707 \nL 315.94565 76.238085 \nL 310.726713 76.002091 \nL 304.440271 77.314099 \nL 297.271992 79.9715 \nL 289.438684 83.714422 \nL 281.170625 88.259661 \nL 272.69428 93.33184 \nL 264.217684 98.686949 \nL 255.919962 104.126079 \nL 240.402219 114.705924 \nL 226.870974 124.395843 \nL 220.941343 128.839408 \nL 215.569831 133.018236 \nL 210.736133 136.946894 \nL 206.408725 140.644243 \nL 202.548639 144.130383 \nL 199.112517 147.424758 \nL 196.054983 150.545018 \nL 193.330416 153.506505 \nL 188.703731 159.002291 \nL 184.901627 163.98734 \nL 177.222092 174.435107 \nL 174.320331 177.811678 \nL 172.8212 179.316103 \nL 171.266787 180.690257 \nL 169.641353 181.926681 \nL 167.930246 183.016432 \nL 166.119761 183.948942 \nL 164.197057 184.711912 \nL 162.15012 185.291141 \nL 159.967767 185.670399 \nL 157.639716 185.831298 \nL 155.15673 185.753178 \nL 152.510829 185.413104 \nL 149.695591 184.785861 \nL 146.706545 183.844143 \nL 143.541686 182.558883 \nL 140.20209 180.89977 \nL 136.692672 178.836114 \nL 133.023044 176.33801 \nL 129.20851 173.377988 \nL 125.271152 169.933138 \nL 121.240961 165.987762 \nL 117.156952 161.536616 \nL 113.068178 156.588583 \nL 109.034505 151.170677 \nL 105.126959 145.332025 \nL 101.427468 139.147389 \nL 98.027753 132.719555 \nL 95.0272 126.179934 \nL 92.529513 119.686494 \nL 90.638101 113.41848 \nL 89.45032 107.567537 \nL 89.050882 102.325569 \nL 89.504977 97.870278 \nL 90.851865 94.350075 \nL 93.099802 91.870547 \nL 96.223102 90.484814 \nL 100.162034 90.189516 \nL 104.82564 90.92734 \nL 110.097385 92.595507 \nL 115.842896 95.05871 \nL 121.918759 98.163965 \nL 128.18138 101.755153 \nL 134.494819 105.685079 \nL 140.736997 109.823951 \nL 146.803833 114.064129 \nL 152.611394 118.32135 \nL 158.096246 122.533529 \nL 163.214433 126.657927 \nL 167.939495 130.667557 \nL 172.259982 134.547558 \nL 176.176744 138.291851 \nL 179.700281 141.900348 \nL 182.848299 145.37675 \nL 185.643557 148.726899 \nL 188.112061 151.957637 \nL 190.281577 155.076039 \nL 192.180467 158.088966 \nL 193.836798 161.00278 \nL 195.277687 163.823239 \nL 196.52885 166.555462 \nL 198.556234 171.772781 \nL 200.088531 176.684884 \nL 201.265192 181.315437 \nL 202.601359 187.774241 \nL 205.361309 202.469255 \nL 206.559428 207.128422 \nL 207.509869 209.993379 \nL 208.625574 212.666981 \nL 209.948587 215.146055 \nL 211.527213 217.421753 \nL 213.418163 219.477289 \nL 214.501326 220.414295 \nL 215.688784 221.284642 \nL 216.990999 222.082287 \nL 218.419391 222.79979 \nL 219.98641 223.428023 \nL 221.7056 223.955859 \nL 223.59165 224.369779 \nL 225.660439 224.653419 \nL 227.929047 224.787047 \nL 230.415731 224.746951 \nL 233.139856 224.504751 \nL 236.121746 224.02663 \nL 239.382445 223.272477 \nL 242.943343 222.195021 \nL 246.825639 220.73894 \nL 251.049555 218.840085 \nL 255.633281 216.424896 \nL 260.591544 213.410248 \nL 265.933717 209.703979 \nL 271.661383 205.206442 \nL 277.765268 199.813643 \nL 284.221483 193.422476 \nL 290.987035 185.938795 \nL 297.994752 177.288934 \nL 305.147814 167.435136 \nL 312.314378 156.39483 \nL 319.323148 144.262786 \nL 325.960949 131.233656 \nL 331.973945 117.620689 \nL 337.074075 103.864253 \nL 340.952537 90.522773 \nL 343.301079 78.239183 \nL 343.840666 67.680082 \nL 342.354824 59.45191 \nL 338.72275 54.008378 \nL 332.945097 51.571092 \nL 325.155703 52.087326 \nL 315.614512 55.239996 \nL 304.681575 60.50932 \nL 292.77704 67.268081 \nL 280.335806 74.882637 \nL 243.568678 97.904606 \nL 232.41488 104.62897 \nL 222.081267 110.665135 \nL 212.630273 116.006369 \nL 196.395341 124.773174 \nL 183.457902 131.417166 \nL 169.099321 138.503222 \nL 159.135453 143.218925 \nL 154.13797 145.415386 \nL 150.025197 146.996654 \nL 146.521958 148.030366 \nL 143.426093 148.556185 \nL 141.984946 148.636677 \nL 140.597275 148.598907 \nL 139.253527 148.445245 \nL 137.946823 148.178255 \nL 136.672741 147.800872 \nL 134.215591 146.729732 \nL 131.887522 145.26987 \nL 129.720326 143.475912 \nL 127.766078 141.422329 \nL 126.090516 139.204371 \nL 124.765578 136.936077 \nL 123.860944 134.744823 \nL 123.435058 132.762439 \nL 123.414681 131.889215 \nL 123.526466 131.113817 \nL 123.770939 130.448778 \nL 124.146623 129.904724 \nL 124.649985 129.490136 \nL 125.275443 129.211146 \nL 126.015439 129.071463 \nL 126.860576 129.072311 \nL 127.799801 129.212542 \nL 129.909594 129.895491 \nL 132.233528 131.070231 \nL 134.652167 132.663062 \nL 137.047512 134.586229 \nL 139.311045 136.746606 \nL 141.349375 139.052371 \nL 143.087257 141.417156 \nL 144.468214 143.761968 \nL 145.453392 146.015368 \nL 146.019342 148.112614 \nL 146.155445 149.994327 \nL 146.061884 150.836907 \nL 145.861482 151.605058 \nL 145.555534 152.29229 \nL 145.145793 152.892246 \nL 144.634462 153.398708 \nL 144.024196 153.805605 \nL 143.318116 154.107052 \nL 142.519838 154.297379 \nL 141.633524 154.371207 \nL 140.663931 154.323527 \nL 139.61648 154.149807 \nL 138.497326 153.846133 \nL 136.072685 152.837225 \nL 133.456978 151.284084 \nL 130.733753 149.195882 \nL 128.004583 146.611136 \nL 125.388809 143.604718 \nL 123.02061 140.292837 \nL 121.042615 136.83347 \nL 120.24437 135.107911 \nL 119.595619 133.420173 \nL 119.111423 131.797666 \nL 118.804885 130.267803 \nL 118.686665 128.857206 \nL 118.764511 127.590831 \nL 119.042878 126.491162 \nL 119.522612 125.577443 \nL 120.200781 124.86504 \nL 121.070615 124.364975 \nL 122.121596 124.083664 \nL 123.339708 124.022854 \nL 124.707797 124.179778 \nL 126.20605 124.547517 \nL 127.812584 125.115483 \nL 129.504054 125.870076 \nL 131.256311 126.795324 \nL 134.846326 129.086306 \nL 138.396115 131.839145 \nL 141.740451 134.905781 \nL 144.744711 138.150797 \nL 147.30826 141.456657 \nL 149.362995 144.724172 \nL 150.868716 147.869956 \nL 151.409275 149.374509 \nL 151.807046 150.822527 \nL 152.062127 152.206265 \nL 152.175241 153.518213 \nL 152.147608 154.751013 \nL 151.980822 155.897361 \nL 151.676774 156.949933 \nL 151.237582 157.901302 \nL 150.665556 158.743899 \nL 149.963195 159.469989 \nL 149.133201 160.071624 \nL 148.178524 160.540675 \nL 147.10242 160.868835 \nL 145.90856 161.047677 \nL 144.601121 161.068747 \nL 143.184946 160.923676 \nL 141.665689 160.604346 \nL 140.04999 160.103116 \nL 138.345675 159.413059 \nL 136.561951 158.528323 \nL 134.7096 157.44449 \nL 132.801204 156.159033 \nL 130.851313 154.671806 \nL 128.876622 152.985593 \nL 126.896081 151.106672 \nL 124.930943 149.045373 \nL 123.004762 146.816614 \nL 121.143258 144.44036 \nL 119.374083 141.941896 \nL 117.726417 139.351968 \nL 116.23045 136.706634 \nL 114.916691 134.046809 \nL 113.815115 131.417474 \nL 112.954181 128.866524 \nL 112.359775 126.443267 \nL 112.054083 124.196651 \nL 112.054491 122.173302 \nL 112.372602 120.415521 \nL 113.013388 118.959393 \nL 113.97466 117.833148 \nL 115.246783 117.056003 \nL 116.812772 116.637458 \nL 118.648792 116.577299 \nL 120.724906 116.86607 \nL 123.006209 117.486162 \nL 125.454102 118.413259 \nL 128.027706 119.617967 \nL 130.685317 121.067628 \nL 133.38573 122.727993 \nL 136.089484 124.564689 \nL 138.759818 126.544478 \nL 141.363464 128.636165 \nL 143.871143 130.811197 \nL 146.25784 133.04399 \nL 148.502852 135.312036 \nL 150.589669 137.595789 \nL 152.505714 139.878463 \nL 154.241972 142.145738 \nL 155.792562 144.385392 \nL 157.154274 146.586991 \nL 158.32611 148.741536 \nL 159.308831 150.841146 \nL 160.104523 152.878773 \nL 160.716237 154.847976 \nL 161.147635 156.742673 \nL 161.402708 158.556981 \nL 161.485547 160.285024 \nL 161.400133 161.920807 \nL 161.150204 163.458078 \nL 160.739148 164.890208 \nL 160.169939 166.210095 \nL 159.445098 167.410058 \nL 158.566712 168.481738 \nL 157.536464 169.416038 \nL 156.355702 170.203041 \nL 155.025534 170.831954 \nL 153.546978 171.291071 \nL 151.921106 171.567774 \nL 150.149256 171.648548 \nL 148.23327 171.519066 \nL 146.175762 171.164337 \nL 143.980444 170.568904 \nL 141.652487 169.717168 \nL 139.198915 168.593834 \nL 136.629048 167.18447 \nL 133.954995 165.476254 \nL 131.192109 163.458883 \nL 128.359527 161.12566 \nL 125.480618 158.474767 \nL 122.58341 155.510677 \nL 119.700923 152.24568 \nL 116.871303 148.701367 \nL 114.137783 144.910054 \nL 111.548338 140.915858 \nL 109.15499 136.775341 \nL 107.012692 132.557424 \nL 105.177785 128.342375 \nL 103.706025 124.219784 \nL 102.650175 120.285362 \nL 102.057342 116.63667 \nL 101.966194 113.368067 \nL 102.404284 110.565218 \nL 103.385703 108.299742 \nL 104.90941 106.624603 \nL 106.958392 105.570858 \nL 109.499816 105.146215 \nL 112.48625 105.335498 \nL 115.857847 106.103041 \nL 119.545297 107.396566 \nL 123.473265 109.152025 \nL 127.564006 111.298776 \nL 131.740811 113.764395 \nL 135.93103 116.478821 \nL 140.068481 119.37745 \nL 144.095169 122.403155 \nL 147.962281 125.507237 \nL 151.630536 128.649569 \nL 155.06998 131.798111 \nL 158.259384 134.928033 \nL 161.185337 138.020629 \nL 163.841182 141.062214 \nL 166.225893 144.043056 \nL 168.342941 146.956426 \nL 170.199249 149.797808 \nL 171.804219 152.564239 \nL 173.168901 155.253802 \nL 174.305265 157.865227 \nL 175.225616 160.397609 \nL 175.942099 162.850183 \nL 176.466329 165.222154 \nL 176.809097 167.512579 \nL 176.980158 169.720269 \nL 176.988082 171.843715 \nL 176.840161 173.881007 \nL 176.542355 175.829757 \nL 176.099269 177.687035 \nL 175.51416 179.449277 \nL 174.788962 181.112202 \nL 173.924326 182.670697 \nL 172.919673 184.118688 \nL 171.773261 185.449033 \nL 170.482256 186.653356 \nL 169.042819 187.721867 \nL 167.450218 188.643191 \nL 165.698929 189.404183 \nL 163.782795 189.989698 \nL 161.695194 190.382399 \nL 159.429253 190.562542 \nL 156.978112 190.507796 \nL 154.335258 190.193104 \nL 151.494908 189.590604 \nL 148.452527 188.669674 \nL 145.205419 187.397115 \nL 141.753452 185.737599 \nL 138.09994 183.654347 \nL 134.252647 181.110292 \nL 130.224965 178.069633 \nL 126.037233 174.500097 \nL 121.718142 170.375784 \nL 117.306209 165.680833 \nL 112.851222 160.413745 \nL 108.415447 154.592342 \nL 104.074487 148.258987 \nL 99.917494 141.485597 \nL 96.046484 134.377693 \nL 92.5744 127.076532 \nL 89.621728 119.758233 \nL 87.311429 112.628873 \nL 85.762291 105.914855 \nL 85.080915 99.848542 \nL 85.353046 94.650186 \nL 86.635064 90.508041 \nL 88.946914 87.559848 \nL 92.267536 85.878765 \nL 96.533842 85.466644 \nL 101.643637 86.256216 \nL 107.462303 88.121596 \nL 113.832425 90.895273 \nL 120.584965 94.387897 \nL 127.55057 98.407531 \nL 134.569555 102.775529 \nL 141.499667 107.337246 \nL 148.221122 111.967568 \nL 154.639012 116.571749 \nL 160.6834 121.083037 \nL 166.307722 125.458409 \nL 171.486053 129.673543 \nL 176.209846 133.71792 \nL 180.4845 137.590565 \nL 184.326102 141.296555 \nL 187.758483 144.844439 \nL 190.810713 148.244349 \nL 193.515025 151.506769 \nL 195.905172 154.641761 \nL 198.015155 157.65855 \nL 199.878297 160.565307 \nL 202.990185 166.07609 \nL 205.473956 171.219006 \nL 207.529223 176.025463 \nL 212.652339 188.596505 \nL 214.402177 192.189864 \nL 216.3294 195.475613 \nL 218.516781 198.43435 \nL 219.733655 199.78156 \nL 221.046616 201.033601 \nL 222.466511 202.183649 \nL 224.004593 203.22342 \nL 225.67259 204.142942 \nL 227.482752 204.930278 \nL 229.447871 205.571217 \nL 231.581279 206.048927 \nL 233.896792 206.343578 \nL 236.408613 206.43192 \nL 239.131169 206.286841 \nL 242.078861 205.876929 \nL 245.265715 205.166059 \nL 248.704903 204.113029 \nL 252.408098 202.671346 \nL 256.384627 200.789226 \nL 260.640407 198.409945 \nL 265.176588 195.472693 \nL 269.987884 191.914137 \nL 275.060571 187.670949 \nL 280.370145 182.683553 \nL 285.878673 176.90136 \nL 291.531922 170.289742 \nL 297.256471 162.83874 \nL 302.957072 154.573362 \nL 308.514689 145.564748 \nL 313.785841 135.941026 \nL 318.60387 125.895874 \nL 322.782969 115.692092 \nL 326.125564 105.657397 \nL 328.433427 96.169462 \nL 329.522325 87.629291 \nL 329.239133 80.423722 \nL 327.479422 74.88178 \nL 324.202879 71.232489 \nL 319.443329 69.573298 \nL 313.311058 69.857324 \nL 305.98598 71.903335 \nL 297.702467 75.426296 \nL 288.728165 80.081027 \nL 279.340647 85.50868 \nL 269.805595 91.376238 \nL 251.198994 103.374706 \nL 234.29401 114.608456 \nL 219.788105 124.498303 \nL 207.828402 133.005252 \nL 198.216918 140.314138 \nL 190.585759 146.649163 \nL 184.514287 152.196527 \nL 179.595361 157.085445 \nL 170.097745 166.831198 \nL 166.716832 169.768574 \nL 165.013081 171.019412 \nL 163.273955 172.116529 \nL 161.482273 173.051789 \nL 159.622826 173.815624 \nL 157.682251 174.397062 \nL 155.648965 174.783695 \nL 153.513151 174.96174 \nL 151.266807 174.916072 \nL 148.903849 174.630376 \nL 146.420298 174.087308 \nL 143.814527 173.268804 \nL 141.087576 172.156527 \nL 138.243555 170.732431 \nL 135.290088 168.979533 \nL 132.238851 166.882921 \nL 129.1061 164.43098 \nL 125.91326 161.616885 \nL 122.687445 158.440311 \nL 119.461943 154.909334 \nL 116.276525 151.042445 \nL 113.177543 146.870512 \nL 110.217729 142.438517 \nL 107.455555 137.806792 \nL 104.954119 133.051441 \nL 102.779464 128.263699 \nL 100.998278 123.547901 \nL 99.675055 119.017883 \nL 98.868755 114.791897 \nL 98.629263 110.986178 \nL 98.99379 107.70776 \nL 99.983715 105.047241 \nL 101.602105 103.072351 \nL 103.832352 101.82326 \nL 106.638106 101.310297 \nL 109.964645 101.514345 \nL 113.741544 102.389976 \nL 117.886445 103.870728 \nL 122.30949 105.875611 \nL 126.917979 108.316135 \nL 131.620839 111.102762 \nL 136.332443 114.150291 \nL 140.975628 117.381654 \nL 145.483727 120.730329 \nL 149.801686 124.14116 \nL 153.886311 127.57019 \nL 157.70583 130.983718 \nL 161.23898 134.356889 \nL 164.473743 137.672136 \nL 167.405947 140.917657 \nL 170.037809 144.086 \nL 172.376538 147.172918 \nL 174.433049 150.176372 \nL 176.220826 153.095788 \nL 177.754946 155.931526 \nL 179.051264 158.684442 \nL 180.125758 161.355607 \nL 180.994009 163.946135 \nL 181.670808 166.457036 \nL 182.169868 168.889114 \nL 182.503616 171.242945 \nL 182.683066 173.51881 \nL 182.717741 175.716676 \nL 182.61564 177.836139 \nL 182.383239 179.876421 \nL 182.025509 181.836305 \nL 181.545957 183.714087 \nL 180.94667 185.507505 \nL 180.228366 187.213683 \nL 179.390455 188.829005 \nL 178.431089 190.349035 \nL 177.347214 191.768381 \nL 176.134638 193.080552 \nL 174.788071 194.277778 \nL 173.301199 195.350828 \nL 171.666745 196.288786 \nL 169.876553 197.078808 \nL 167.92169 197.70585 \nL 165.792561 198.152384 \nL 163.479086 198.398096 \nL 160.970894 198.419559 \nL 158.257613 198.189949 \nL 155.32921 197.678776 \nL 152.176454 196.851682 \nL 148.791485 195.670386 \nL 145.168545 194.092804 \nL 141.30488 192.073459 \nL 137.201846 189.564293 \nL 132.866223 186.516011 \nL 128.311774 182.880123 \nL 123.56105 178.611896 \nL 118.647352 173.674304 \nL 113.616806 168.043152 \nL 108.530468 161.713342 \nL 103.46614 154.706142 \nL 98.519713 147.076967 \nL 93.805562 138.922923 \nL 89.455583 130.388773 \nL 85.616374 121.66982 \nL 82.444148 113.009784 \nL 80.09709 104.691973 \nL 78.725297 97.022808 \nL 78.458837 90.308019 \nL 79.395071 84.823667 \nL 81.586933 80.786219 \nL 85.034023 78.327144 \nL 89.67841 77.477378 \nL 95.406307 78.165543 \nL 102.055828 80.230637 \nL 109.429787 83.446309 \nL 117.31162 87.551403 \nL 125.481976 92.280288 \nL 133.733563 97.38796 \nL 141.882674 102.666671 \nL 149.7765 107.95369 \nL 164.357389 118.1234 \nL 170.905964 122.885208 \nL 176.915328 127.397875 \nL 182.380817 131.659507 \nL 187.314962 135.679157 \nL 191.74301 139.471978 \nL 195.69902 143.055774 \nL 199.22265 146.448696 \nL 202.35659 149.667854 \nL 205.144603 152.728546 \nL 207.630072 155.643946 \nL 211.859242 161.080609 \nL 215.352791 166.041489 \nL 222.516986 176.544695 \nL 225.273171 179.986162 \nL 226.706783 181.532803 \nL 228.1993 182.95617 \nL 229.765807 184.249224 \nL 231.420531 185.403486 \nL 233.17696 186.408891 \nL 235.047943 187.25362 \nL 237.045743 187.923928 \nL 239.182028 188.403985 \nL 241.467827 188.67566 \nL 243.913419 188.718399 \nL 246.528132 188.509075 \nL 249.320076 188.02196 \nL 252.295771 187.228731 \nL 255.459673 186.098657 \nL 258.813562 184.598985 \nL 262.355805 182.695578 \nL 266.080479 180.353875 \nL 269.976341 177.540362 \nL 274.025655 174.224499 \nL 278.202935 170.381274 \nL 282.473628 165.994442 \nL 286.792786 161.060387 \nL 291.10395 155.592548 \nL 295.338299 149.626152 \nL 299.41435 143.222865 \nL 303.238445 136.474665 \nL 306.706298 129.506247 \nL 309.705811 122.474877 \nL 312.121376 115.566892 \nL 313.839673 108.989996 \nL 314.756718 102.961368 \nL 314.78575 97.69201 \nL 313.865149 93.368994 \nL 311.965394 90.138008 \nL 309.094012 88.089101 \nL 305.297605 87.248157 \nL 300.660373 87.576069 \nL 295.299097 88.975712 \nL 289.355181 91.305322 \nL 282.984769 94.395726 \nL 276.34832 98.068279 \nL 269.60085 102.150556 \nL 262.883931 106.488183 \nL 256.319991 110.951782 \nL 250.009086 115.439619 \nL 244.027906 119.876701 \nL 238.430575 124.211665 \nL 233.250713 128.412555 \nL 228.504242 132.462311 \nL 224.1925 136.354621 \nL 220.305334 140.090451 \nL 216.823978 143.675258 \nL 213.723586 147.116964 \nL 210.975358 150.424546 \nL 208.548287 153.607073 \nL 206.41052 156.673169 \nL 204.530404 159.630716 \nL 202.877235 162.486701 \nL 200.136645 167.917583 \nL 197.977657 173.005145 \nL 196.221489 177.778121 \nL 190.638522 194.054164 \nL 189.131855 197.455526 \nL 187.431648 200.585422 \nL 185.469278 203.428937 \nL 184.367578 204.735725 \nL 183.173003 205.960115 \nL 181.875558 207.096476 \nL 180.464671 208.137892 \nL 178.929124 209.075943 \nL 177.256988 209.900447 \nL 175.435586 210.599163 \nL 173.451469 211.157434 \nL 171.290426 211.5578 \nL 168.937526 211.779556 \nL 166.37721 211.798257 \nL 163.59345 211.585199 \nL 160.569997 211.106855 \nL 157.290722 210.324332 \nL 153.740117 209.192883 \nL 149.903958 207.661509 \nL 145.770189 205.672808 \nL 141.330082 203.163145 \nL 136.579707 200.063393 \nL 131.521777 196.30043 \nL 126.167917 191.799728 \nL 120.541332 186.489392 \nL 114.679923 180.30598 \nL 108.639699 173.202427 \nL 102.498365 165.158286 \nL 96.358664 156.192119 \nL 90.351072 146.375269 \nL 84.63506 135.845743 \nL 79.398114 124.819603 \nL 74.851474 113.596645 \nL 71.221716 102.55627 \nL 68.737642 92.140065 \nL 67.612624 82.818783 \nL 68.023716 75.045385 \nL 70.089972 69.199787 \nL 73.853599 65.535867 \nL 79.267994 64.14311 \nL 86.195801 64.933692 \nL 94.418571 67.659527 \nL 103.656884 71.955341 \nL 113.597239 77.396578 \nL 123.920894 83.557652 \nL 134.329536 90.058458 \nL 163.735105 108.948183 \nL 194.236982 128.732588 \nL 205.390808 136.254627 \nL 214.24367 142.567829 \nL 221.260134 147.926056 \nL 229.330566 154.545098 \nL 235.611065 159.728312 \nL 239.311198 162.434413 \nL 241.103474 163.558946 \nL 242.888512 164.525664 \nL 244.685988 165.32876 \nL 246.512796 165.961228 \nL 248.383218 166.414974 \nL 250.309047 166.680954 \nL 252.29965 166.74931 \nL 254.362005 166.609566 \nL 256.500669 166.250847 \nL 258.717707 165.662171 \nL 261.012554 164.832823 \nL 263.381855 163.752819 \nL 265.819245 162.413472 \nL 268.315114 160.808077 \nL 270.856367 158.932702 \nL 273.426156 156.787116 \nL 276.003701 154.375772 \nL 278.564122 151.708864 \nL 281.0784 148.803383 \nL 283.513481 145.684081 \nL 285.832553 142.384234 \nL 287.995569 138.946133 \nL 289.960039 135.421126 \nL 291.682099 131.869053 \nL 293.11788 128.357073 \nL 294.225157 124.957719 \nL 294.965213 121.746226 \nL 295.304806 118.797313 \nL 295.218133 116.181502 \nL 294.68862 113.961368 \nL 293.710379 112.188111 \nL 292.289155 110.898629 \nL 290.442661 110.113716 \nL 288.200225 109.837364 \nL 285.601731 110.057291 \nL 282.69592 110.746723 \nL 279.538265 111.867034 \nL 276.188485 113.370979 \nL 272.708021 115.206108 \nL 269.157601 117.318052 \nL 265.595081 119.653348 \nL 262.073697 122.161654 \nL 258.640789 124.797266 \nL 255.336998 127.520017 \nL 252.195916 130.295579 \nL 249.244111 133.095345 \nL 246.501479 135.895967 \nL 243.981819 138.678774 \nL 241.693549 141.429035 \nL 239.640492 144.135274 \nL 237.822706 146.788581 \nL 236.237265 149.382029 \nL 234.878997 151.910179 \nL 233.741158 154.368621 \nL 232.816011 156.753653 \nL 232.095319 159.061996 \nL 231.570758 161.290575 \nL 231.234266 163.436324 \nL 231.07829 165.496039 \nL 231.095996 167.466252 \nL 231.281412 169.343117 \nL 231.629525 171.122301 \nL 232.136335 172.798887 \nL 232.798886 174.367257 \nL 233.615251 175.820987 \nL 234.584503 177.152728 \nL 235.706656 178.354087 \nL 236.982587 179.415506 \nL 238.413932 180.326108 \nL 240.002959 181.073584 \nL 241.752414 181.644068 \nL 243.665331 182.021999 \nL 245.744799 182.19004 \nL 247.993701 182.129016 \nL 250.414377 181.817925 \nL 253.008246 181.234002 \nL 255.775341 180.352933 \nL 258.713773 179.149184 \nL 261.819106 177.596565 \nL 265.083643 175.669013 \nL 268.495614 173.341699 \nL 272.038307 170.592491 \nL 275.689132 167.403815 \nL 279.418642 163.764947 \nL 283.189655 159.674705 \nL 286.956444 155.144472 \nL 290.664182 150.201416 \nL 294.24877 144.891597 \nL 297.637173 139.28261 \nL 300.748493 133.46531 \nL 303.495827 127.553977 \nL 305.789164 121.684457 \nL 307.539202 116.009727 \nL 308.662083 110.692799 \nL 309.084755 105.89704 \nL 308.750529 101.774852 \nL 307.624256 98.455751 \nL 305.696508 96.035509 \nL 302.986067 94.568152 \nL 299.54032 94.062058 \nL 295.4333 94.480928 \nL 290.761476 95.749444 \nL 285.637837 97.762584 \nL 280.184908 100.396912 \nL 274.527517 103.522209 \nL 268.786148 107.011613 \nL 263.07142 110.749396 \nL 257.480091 114.635898 \nL 252.092671 118.589745 \nL 246.972513 122.547849 \nL 242.166142 126.463849 \nL 237.704508 130.305677 \nL 233.60481 134.052778 \nL 229.872628 137.693428 \nL 226.504127 141.222307 \nL 223.488175 144.63849 \nL 220.808265 147.943905 \nL 218.444199 151.142156 \nL 216.373503 154.237699 \nL 214.572572 157.235286 \nL 213.017594 160.13962 \nL 211.685239 162.955153 \nL 210.55317 165.685981 \nL 209.600403 168.335828 \nL 208.807537 170.908027 \nL 207.63253 175.831153 \nL 206.90781 180.475812 \nL 206.540304 184.85867 \nL 206.461669 188.993569 \nL 206.62503 192.892083 \nL 207.00175 196.563759 \nL 207.578643 200.016043 \nL 208.355817 203.253954 \nL 209.345211 206.279479 \nL 210.56982 209.09061 \nL 212.063546 211.679917 \nL 213.871626 214.032493 \nL 214.911 215.112588 \nL 216.051544 216.122948 \nL 217.302573 217.058053 \nL 218.674347 217.911107 \nL 220.178118 218.673782 \nL 221.826177 219.335927 \nL 223.6319 219.885239 \nL 225.609763 220.306863 \nL 227.775357 220.582924 \nL 230.145357 220.692009 \nL 232.737459 220.608562 \nL 235.570245 220.302204 \nL 238.662978 219.737017 \nL 242.035265 218.870768 \nL 245.7066 217.654155 \nL 249.695693 216.030105 \nL 254.019561 213.933253 \nL 258.692313 211.289739 \nL 263.723534 208.017565 \nL 269.116247 204.027771 \nL 274.864282 199.226839 \nL 280.949119 193.520838 \nL 287.336062 186.821783 \nL 293.969876 179.056847 \nL 300.770064 170.18079 \nL 307.62606 160.191771 \nL 314.392993 149.14988 \nL 320.888922 137.196866 \nL 326.894673 124.573999 \nL 332.157756 111.633352 \nL 336.401763 98.83661 \nL 339.342343 86.735297 \nL 340.709861 75.928365 \nL 340.277271 66.997844 \nL 337.889831 60.430884 \nL 333.491439 56.54344 \nL 327.141581 55.425596 \nL 319.01782 56.925515 \nL 309.401582 60.678835 \nL 298.649234 66.176017 \nL 287.154173 72.848393 \nL 275.307672 80.149974 \nL 240.918445 101.761559 \nL 221.073055 113.777585 \nL 204.512797 123.410256 \nL 158.166791 149.650305 \nL 154.084111 151.67081 \nL 150.457263 153.094041 \nL 148.750635 153.585241 \nL 147.088795 153.929135 \nL 145.456324 154.124592 \nL 143.841008 154.170097 \nL 142.233635 154.064039 \nL 140.627814 153.804954 \nL 139.01981 153.391788 \nL 137.408424 152.824164 \nL 135.794875 152.102673 \nL 134.182707 151.229158 \nL 132.577701 150.207025 \nL 130.987758 149.041536 \nL 129.422815 147.740088 \nL 127.894691 146.312498 \nL 126.416933 144.771202 \nL 125.004588 143.131427 \nL 123.673949 141.411281 \nL 122.44223 139.631711 \nL 121.327195 137.816341 \nL 120.346675 135.99119 \nL 119.518099 134.184214 \nL 118.857924 132.424695 \nL 118.381055 130.742508 \nL 118.100275 129.167286 \nL 118.025665 127.727474 \nL 118.164107 126.449383 \nL 118.51885 125.3563 \nL 119.089213 124.467667 \nL 119.870393 123.798439 \nL 120.853474 123.358653 \nL 122.02557 123.153184 \nL 123.370128 123.181824 \nL 124.867394 123.439539 \nL 126.494995 123.916924 \nL 128.228576 124.600892 \nL 130.042542 125.475359 \nL 131.910734 126.522072 \nL 135.706488 129.052886 \nL 139.419934 132.031365 \nL 142.881837 135.301784 \nL 145.95815 138.72541 \nL 148.552045 142.184477 \nL 150.601019 145.581286 \nL 151.409594 147.230448 \nL 152.071002 148.834627 \nL 152.584273 150.385482 \nL 152.949342 151.875132 \nL 153.166859 153.296007 \nL 153.238024 154.640733 \nL 153.16445 155.90202 \nL 152.948036 157.072589 \nL 152.590906 158.145065 \nL 152.095327 159.111912 \nL 151.463701 159.965386 \nL 150.698555 160.697497 \nL 149.802566 161.299988 \nL 148.778621 161.764337 \nL 147.629892 162.081766 \nL 146.359952 162.243324 \nL 144.972886 162.239949 \nL 143.473464 162.062615 \nL 141.867304 161.702499 \nL 140.161077 161.151226 \nL 138.362718 160.401137 \nL 136.481655 159.445665 \nL 134.52904 158.279755 \nL 132.517968 156.900351 \nL 130.463708 155.306963 \nL 128.383875 153.502274 \nL 126.298579 151.492782 \nL 124.230497 149.289444 \nL 122.204853 146.908291 \nL 120.249299 144.370917 \nL 118.393637 141.704856 \nL 116.669402 138.943718 \nL 115.109254 136.127002 \nL 113.746213 133.299607 \nL 112.61268 130.510881 \nL 111.739365 127.813319 \nL 111.154059 125.260802 \nL 110.880376 122.906569 \nL 110.936525 120.800963 \nL 111.334203 118.989148 \nL 112.077703 117.508995 \nL 113.163328 116.389319 \nL 114.579154 115.648617 \nL 116.305216 115.294463 \nL 118.314113 115.323634 \nL 120.571989 115.722891 \nL 123.039821 116.470273 \nL 125.674918 117.536908 \nL 128.432548 118.888957 \nL 131.26752 120.48965 \nL 134.135674 122.301149 \nL 136.995179 124.286145 \nL 139.807559 126.409137 \nL 142.538436 128.63733 \nL 145.158011 130.941177 \nL 147.641257 133.294631 \nL 149.967901 135.675106 \nL 152.122199 138.063325 \nL 154.092592 140.442978 \nL 155.871258 142.800355 \nL 157.453593 145.123935 \nL 158.837704 147.404014 \nL 160.023882 149.632301 \nL 161.014104 151.801612 \nL 161.811596 153.905556 \nL 162.420422 155.938284 \nL 162.845132 157.894262 \nL 163.090474 159.768087 \nL 163.161146 161.554328 \nL 163.061609 163.247376 \nL 162.795943 164.841303 \nL 162.367751 166.329763 \nL 161.780085 167.705878 \nL 161.035435 168.962129 \nL 160.13573 170.090251 \nL 159.082385 171.081173 \nL 157.876369 171.9249 \nL 156.518305 172.610462 \nL 155.008617 173.125849 \nL 153.347678 173.457992 \nL 151.536036 173.592759 \nL 149.574628 173.51499 \nL 147.465092 173.208619 \nL 145.210073 172.656857 \nL 142.813615 171.842481 \nL 140.281573 170.748216 \nL 137.622091 169.357335 \nL 134.846126 167.654361 \nL 131.967988 165.626001 \nL 129.005903 163.262304 \nL 125.982599 160.557993 \nL 122.925794 157.514036 \nL 119.868663 154.139358 \nL 116.850103 150.452604 \nL 113.914815 146.483845 \nL 111.113083 142.27606 \nL 108.500167 137.886145 \nL 106.135264 133.385195 \nL 104.07995 128.857814 \nL 102.396089 124.400193 \nL 101.143274 120.116892 \nL 100.375834 116.116273 \nL 100.139683 112.504821 \nL 100.469121 109.380808 \nL 101.384035 106.827966 \nL 102.8877 104.909758 \nL 104.965551 103.665224 \nL 107.585067 103.106764 \nL 110.696943 103.220351 \nL 114.237364 103.96799 \nL 118.131311 105.292108 \nL 122.296447 107.121208 \nL 126.64728 109.375909 \nL 131.099164 111.974745 \nL 135.571818 114.839055 \nL 139.992172 117.89663 \nL 144.29635 121.084107 \nL 148.430832 124.348008 \nL 152.352846 127.644849 \nL 156.030127 130.940492 \nL 159.440187 134.209043 \nL 162.569278 137.431533 \nL 165.411146 140.594592 \nL 167.965747 143.689184 \nL 170.237968 146.709511 \nL 172.236428 149.652103 \nL 173.972413 152.515112 \nL 175.458937 155.297731 \nL 176.709958 157.999772 \nL 177.739727 160.621381 \nL 178.562268 163.162815 \nL 179.190981 165.624271 \nL 179.638331 168.005792 \nL 179.915637 170.307206 \nL 180.032919 172.528025 \nL 179.998804 174.667419 \nL 179.820482 176.724162 \nL 179.503683 178.69656 \nL 179.052697 180.582409 \nL 178.470392 182.378911 \nL 177.758257 184.082596 \nL 176.916454 185.689225 \nL 175.943873 187.193667 \nL 174.83819 188.589781 \nL 173.595932 189.870262 \nL 172.212552 191.026472 \nL 170.682505 192.04824 \nL 168.999346 192.923666 \nL 167.155828 193.638878 \nL 165.144047 194.177793 \nL 162.955603 194.521858 \nL 160.581804 194.649786 \nL 158.013931 194.537318 \nL 155.24357 194.157015 \nL 152.263027 193.478113 \nL 149.065858 192.466502 \nL 145.647507 191.084854 \nL 142.006113 189.293011 \nL 138.143469 187.048707 \nL 134.066178 184.308741 \nL 129.786979 181.030725 \nL 125.326284 177.175545 \nL 120.71386 172.710704 \nL 115.990594 167.614517 \nL 111.210237 161.881341 \nL 106.441 155.527524 \nL 101.766668 148.597879 \nL 97.287051 141.171946 \nL 93.117313 133.369247 \nL 89.385813 125.35218 \nL 86.230155 117.325126 \nL 83.791177 109.5285 \nL 82.204841 102.226714 \nL 81.59253 95.690004 \nL 82.050418 90.171599 \nL 83.639203 85.88291 \nL 86.375708 82.970792 \nL 90.227803 81.501277 \nL 95.113947 81.453331 \nL 100.907657 82.724211 \nL 107.446633 85.145292 \nL 114.545157 88.505094 \nL 122.008014 92.574643 \nL 129.643913 97.130604 \nL 137.276827 101.972956 \nL 144.75416 106.935591 \nL 151.951523 111.890296 \nL 158.77424 116.745426 \nL 165.156373 121.441242 \nL 171.057937 125.943648 \nL 176.461139 130.237689 \nL 181.366237 134.321713 \nL 185.787489 138.202537 \nL 189.749431 141.891749 \nL 193.283689 145.403104 \nL 196.426328 148.750735 \nL 199.215744 151.948096 \nL 201.691042 155.007358 \nL 203.890834 157.939133 \nL 207.611103 163.454704 \nL 210.650086 168.5491 \nL 219.00749 183.413548 \nL 221.411631 186.81846 \nL 222.695878 188.369015 \nL 224.052802 189.811799 \nL 225.495256 191.140461 \nL 227.035804 192.347293 \nL 228.686846 193.423054 \nL 230.460693 194.356755 \nL 232.369625 195.135436 \nL 234.425904 195.743923 \nL 236.641736 196.164536 \nL 239.029197 196.376832 \nL 241.600081 196.357317 \nL 244.365672 196.079201 \nL 247.336428 195.512176 \nL 250.521552 194.622319 \nL 253.928435 193.372102 \nL 257.561938 191.720636 \nL 261.423495 189.624217 \nL 265.510042 187.037282 \nL 269.812699 183.913921 \nL 274.315268 180.210106 \nL 278.992517 175.886764 \nL 283.808327 170.913817 \nL 288.713764 165.275298 \nL 293.645255 158.975449 \nL 298.523071 152.045563 \nL 303.250412 144.551086 \nL 307.71346 136.598058 \nL 311.78286 128.337708 \nL 315.317008 119.967711 \nL 318.167517 111.72837 \nL 320.18697 103.892482 \nL 321.238744 96.74834 \nL 321.208295 90.576491 \nL 320.014642 85.622952 \nL 317.620566 82.072669 \nL 314.039741 80.028422 \nL 309.339302 79.499477 \nL 303.636985 80.402892 \nL 297.092932 82.577359 \nL 289.897188 85.806495 \nL 282.254913 89.846667 \nL 274.371349 94.453744 \nL 266.438682 99.404645 \nL 258.626054 104.511204 \nL 251.073376 109.626344 \nL 243.888811 114.643795 \nL 237.149251 119.493572 \nL 230.902961 124.135198 \nL 225.173499 128.550457 \nL 219.964172 132.736668 \nL 215.262495 136.701093 \nL 211.04428 140.456665 \nL 207.277208 144.018869 \nL 203.923786 147.403697 \nL 200.943704 150.62635 \nL 198.295655 153.700557 \nL 195.938682 156.638234 \nL 191.941298 162.142345 \nL 188.659782 167.198208 \nL 180.778462 179.940032 \nL 178.205717 183.381164 \nL 176.849381 184.939042 \nL 175.426582 186.381578 \nL 173.923385 187.702056 \nL 172.32641 188.892367 \nL 170.622716 189.942827 \nL 168.799705 190.841999 \nL 166.845071 191.576482 \nL 164.746791 192.130689 \nL 162.49318 192.486625 \nL 160.072971 192.623658 \nL 157.475498 192.518311 \nL 154.690937 192.144102 \nL 151.710665 191.471448 \nL 148.527708 190.467687 \nL 145.137334 189.09728 \nL 141.537788 187.32225 \nL 137.731189 185.102938 \nL 133.724596 182.399218 \nL 129.531289 179.172274 \nL 125.172135 175.387 \nL 120.677182 171.015233 \nL 116.087251 166.039793 \nL 111.455475 160.459352 \nL 106.8487 154.293978 \nL 102.348373 147.590983 \nL 98.050764 140.430508 \nL 94.066121 132.929958 \nL 90.516459 125.246199 \nL 87.531629 117.574165 \nL 85.243563 110.140798 \nL 83.778669 103.193543 \nL 83.248836 96.983495 \nL 83.741724 91.744559 \nL 85.311499 87.671104 \nL 87.971367 84.89777 \nL 91.689178 83.485142 \nL 96.387191 83.414397 \nL 101.946278 84.592212 \nL 108.21428 86.864934 \nL 115.017297 90.03905 \nL 122.172333 93.903917 \nL 129.499555 98.252611 \nL 136.832724 102.898126 \nL 144.026846 107.683367 \nL 150.962726 112.48531 \nL 157.548635 117.214281 \nL 163.719613 121.810137 \nL 169.435117 126.236873 \nL 174.67567 130.47681 \nL 179.439119 134.52529 \nL 183.736882 138.386201 \nL 187.590496 142.068501 \nL 191.028589 145.583693 \nL 194.084352 148.944085 \nL 196.793497 152.161685 \nL 199.192666 155.247592 \nL 201.318248 158.211657 \nL 203.205519 161.062391 \nL 206.397406 166.451443 \nL 209.011367 171.45841 \nL 216.30685 186.272599 \nL 218.443488 189.7431 \nL 220.806127 192.848711 \nL 222.102113 194.2542 \nL 223.490133 195.553741 \nL 224.981878 196.739924 \nL 226.58916 197.803822 \nL 228.323989 198.734757 \nL 230.198614 199.520063 \nL 232.22555 200.144789 \nL 234.417538 200.591392 \nL 236.787485 200.839407 \nL 239.348321 200.865102 \nL 242.112807 200.641132 \nL 245.093231 200.136215 \nL 248.301003 199.314894 \nL 251.746126 198.137374 \nL 255.436479 196.559579 \nL 259.376944 194.533472 \nL 263.568279 192.007772 \nL 268.00577 188.92923 \nL 272.677616 185.244652 \nL 277.563017 180.903829 \nL 282.630092 175.863622 \nL 287.833552 170.093326 \nL 293.112409 163.581343 \nL 298.387806 156.343116 \nL 303.561403 148.429786 \nL 308.514608 139.936824 \nL 313.10926 131.011271 \nL 317.190292 121.855787 \nL 320.590876 112.72742 \nL 323.140407 103.929003 \nL 324.675293 95.791771 \nL 325.052039 88.649496 \nL 324.161302 82.80621 \nL 321.941217 78.502294 \nL 318.387679 75.885027 \nL 313.55951 74.990313 \nL 307.576978 75.740042 \nL 300.613429 77.956116 \nL 292.881127 81.388016 \nL 284.613484 85.747587 \nL 276.046607 90.743471 \nL 267.40279 96.109234 \nL 258.877906 101.621593 \nL 242.793904 112.447882 \nL 228.644265 122.412431 \nL 222.413107 126.980709 \nL 216.754578 131.270433 \nL 211.652649 135.295009 \nL 207.078296 139.073518 \nL 202.993663 142.627106 \nL 199.355463 145.976629 \nL 196.117643 149.141307 \nL 193.233395 152.137995 \nL 188.342966 157.681761 \nL 184.339808 162.691708 \nL 176.346847 173.131313 \nL 173.368211 176.481402 \nL 171.837309 177.967755 \nL 170.254767 179.320523 \nL 168.604425 180.53216 \nL 166.871337 181.593613 \nL 165.041653 182.494236 \nL 163.102514 183.221662 \nL 161.04203 183.761673 \nL 158.849277 184.098081 \nL 156.514382 184.212644 \nL 154.028668 184.084994 \nL 151.384856 183.692632 \nL 148.577398 183.011036 \nL 145.602861 182.013871 \nL 142.46043 180.673376 \nL 139.152542 178.960989 \nL 135.685607 176.848249 \nL 132.070858 174.308057 \nL 128.325284 171.316354 \nL 124.472662 167.854272 \nL 120.544576 163.910771 \nL 116.581423 159.485748 \nL 112.633257 154.59355 \nL 108.760384 149.266601 \nL 105.03345 143.558974 \nL 101.53298 137.549257 \nL 98.348023 131.342284 \nL 95.573847 125.068942 \nL 93.308466 118.883449 \nL 91.648099 112.95759 \nL 90.681593 107.471782 \nL 90.484279 102.603394 \nL 91.111704 98.513306 \nL 92.593998 95.332458 \nL 94.931672 93.150163 \nL 98.093484 92.006419 \nL 102.016916 91.889441 \nL 106.611331 92.738984 \nL 111.763557 94.454788 \nL 117.345203 96.908673 \nL 123.220782 99.957983 \nL 129.255736 103.458487 \nL 135.323418 107.27486 \nL 141.310559 111.288053 \nL 147.120878 115.399227 \nL 152.676866 119.530752 \nL 157.920006 123.625053 \nL 162.809776 127.642032 \nL 167.321809 131.555907 \nL 171.445584 135.351948 \nL 175.181955 139.023516 \nL 178.540711 142.56955 \nL 181.53833 145.992577 \nL 184.195991 149.297238 \nL 186.537904 152.489237 \nL 188.589928 155.574614 \nL 190.378479 158.559319 \nL 191.929695 161.448955 \nL 193.268816 164.248635 \nL 194.419752 166.962967 \nL 196.244469 172.151611 \nL 197.560516 177.042722 \nL 198.495392 181.658671 \nL 199.149427 186.018002 \nL 199.766505 192.110267 \nL 200.101627 197.707537 \nL 200.297109 204.471085 \nL 200.312517 213.289574 \nL 200.090519 221.859842 \nL 199.769543 227.023654 \nL 199.368275 230.658492 \nL 198.77334 233.899075 \nL 198.144176 236.091515 \nL 197.295311 238.091031 \nL 196.569199 239.318836 \nL 195.680281 240.461167 \nL 194.591004 241.513736 \nL 193.255042 242.467984 \nL 191.615283 243.309025 \nL 189.601419 244.012533 \nL 187.127096 244.540048 \nL 184.086643 244.83191 \nL 180.35153 244.796739 \nL 178.176197 244.615602 \nL 175.766913 244.295927 \nL 173.099786 243.809341 \nL 170.149078 243.121242 \nL 166.887308 242.189585 \nL 163.285472 240.963499 \nL 159.313419 239.381761 \nL 154.940487 237.371191 \nL 150.136436 234.845039 \nL 144.872819 231.701593 \nL 139.12491 227.823262 \nL 132.874352 223.076609 \nL 126.112719 217.313978 \nL 118.846158 210.377635 \nL 111.101303 202.107598 \nL 102.932536 192.354578 \nL 94.430493 180.999515 \nL 85.731499 167.980868 \nL 77.026991 153.329821 \nL 68.571483 137.211409 \nL 60.686717 119.966246 \nL 53.758717 102.142847 \nL 48.22432 84.505913 \nL 44.543698 68.003489 \nL 43.157727 53.67978 \nL 44.432678 42.532997 \nL 48.600063 35.33971 \nL 55.704897 32.490508 \nL 65.577352 33.892703 \nL 77.839845 38.982098 \nL 91.951563 46.846592 \nL 107.280815 56.419935 \nL 123.186368 66.67884 \nL 139.088024 76.786216 \nL 154.513131 86.155785 \nL 169.115499 94.447423 \nL 182.671551 101.520666 \nL 195.062194 107.374469 \nL 206.248808 112.091911 \nL 216.249347 115.798227 \nL 225.117866 118.632989 \nL 232.928642 120.733918 \nL 239.764777 122.228742 \nL 245.710605 123.2321 \nL 250.847027 123.845177 \nL 255.248979 124.156679 \nL 258.984372 124.244203 \nL 264.692051 124.010281 \nL 269.577853 123.415224 \nL 270.855595 123.300944 \nL 271.006151 123.405477 \nL 270.874918 123.638448 \nL 269.894568 124.520332 \nL 265.927541 127.922366 \nL 263.408103 130.3161 \nL 260.809439 133.039708 \nL 258.304462 135.983088 \nL 256.032616 139.040526 \nL 254.099672 142.116147 \nL 252.5804 145.125476 \nL 251.52318 147.99442 \nL 250.955389 150.656995 \nL 250.859156 151.891825 \nL 250.888678 153.052613 \nL 251.043684 154.132189 \nL 251.323413 155.123437 \nL 251.726685 156.019204 \nL 252.251942 156.812288 \nL 252.897267 157.495416 \nL 253.66039 158.061207 \nL 254.538664 158.502209 \nL 255.529016 158.810927 \nL 256.627876 158.979859 \nL 257.831093 159.001605 \nL 259.133825 158.868971 \nL 260.530408 158.57513 \nL 262.014223 158.113812 \nL 263.577551 157.479546 \nL 265.211395 156.667936 \nL 266.905337 155.676012 \nL 268.64738 154.502583 \nL 270.423815 153.148667 \nL 272.219104 151.617914 \nL 274.015811 149.917073 \nL 275.794577 148.05642 \nL 277.534193 146.05015 \nL 279.211722 143.9167 \nL 280.802727 141.678939 \nL 282.281651 139.364207 \nL 283.622259 137.004133 \nL 284.798238 134.634234 \nL 285.783917 132.293217 \nL 286.555053 130.022019 \nL 287.089718 127.862618 \nL 287.369184 125.856595 \nL 287.378812 124.043598 \nL 287.108833 122.45976 \nL 286.555009 121.136198 \nL 285.719068 120.097742 \nL 284.608941 119.361948 \nL 283.238677 118.938555 \nL 281.628097 118.82932 \nL 279.802194 119.028383 \nL 277.790283 119.522958 \nL 275.624988 120.294407 \nL 273.341131 121.319485 \nL 270.974558 122.571685 \nL 268.561042 124.022606 \nL 266.135269 125.643161 \nL 263.729963 127.404615 \nL 261.3752 129.279451 \nL 259.097934 131.241913 \nL 256.921679 133.268439 \nL 254.86638 135.337799 \nL 252.948453 137.431131 \nL 251.180934 139.531837 \nL 249.573724 141.625418 \nL 248.133913 143.699205 \nL 246.866133 145.742133 \nL 245.772929 147.744447 \nL 244.855131 149.697454 \nL 244.112214 151.593299 \nL 243.542619 153.424719 \nL 243.144049 155.184855 \nL 242.913732 156.867085 \nL 242.848628 158.464866 \nL 242.945614 159.971587 \nL 243.201612 161.380454 \nL 243.613692 162.684385 \nL 244.179137 163.875895 \nL 244.895464 164.947044 \nL 245.760425 165.889326 \nL 246.771963 166.693647 \nL 247.928147 167.350242 \nL 249.227075 167.848688 \nL 250.666738 168.177893 \nL 252.244852 168.326116 \nL 253.958681 168.281082 \nL 255.804785 168.030073 \nL 257.778775 167.560148 \nL 259.875005 166.858417 \nL 262.086249 165.9124 \nL 264.403351 164.710518 \nL 266.814819 163.242699 \nL 269.306472 161.501081 \nL 271.86102 159.480909 \nL 274.457717 157.181499 \nL 277.07203 154.607339 \nL 279.675408 151.769237 \nL 282.235189 148.68548 \nL 284.714646 145.382849 \nL 287.073269 141.897496 \nL 289.267306 138.275389 \nL 291.250623 134.572311 \nL 292.975875 130.853182 \nL 294.396023 127.190632 \nL 295.46614 123.662738 \nL 296.145445 120.350001 \nL 296.399471 117.331635 \nL 296.202157 114.681514 \nL 295.537766 112.464052 \nL 294.402362 110.730467 \nL 292.804713 109.515841 \nL 290.766509 108.837423 \nL 288.321749 108.694134 \nL 285.51543 109.067662 \nL 282.401534 109.924674 \nL 279.040567 111.220014 \nL 275.496813 112.900377 \nL 271.835551 114.908156 \nL 268.120502 117.184886 \nL 264.411576 119.674161 \nL 260.76316 122.323811 \nL 257.222887 125.087296 \nL 253.830966 127.92443 \nL 250.619953 130.80145 \nL 247.614947 133.690727 \nL 244.834071 136.570154 \nL 242.289184 139.422379 \nL 239.986699 142.234024 \nL 237.928475 144.99488 \nL 236.11269 147.69723 \nL 234.534686 150.335223 \nL 233.187735 152.904365 \nL 232.063704 155.401082 \nL 231.153668 157.822412 \nL 230.448384 160.165734 \nL 229.938703 162.428546 \nL 229.615892 164.608306 \nL 229.471883 166.702289 \nL 229.49946 168.707489 \nL 229.692387 170.620481 \nL 230.045498 172.43735 \nL 230.554739 174.153582 \nL 231.217184 175.763954 \nL 232.031027 177.262426 \nL 232.995535 178.642053 \nL 234.111001 179.89481 \nL 235.378658 181.011497 \nL 236.800587 181.981581 \nL 238.379593 182.793054 \nL 240.11906 183.432271 \nL 242.022776 183.883833 \nL 244.094714 184.130439 \nL 246.338779 184.152793 \nL 248.758498 183.929552 \nL 251.356657 183.437341 \nL 254.134842 182.650878 \nL 257.092919 181.543243 \nL 260.22842 180.08631 \nL 263.535811 178.251464 \nL 267.005675 176.010577 \nL 270.623786 173.337391 \nL 274.370117 170.209336 \nL 278.217766 166.609772 \nL 282.131912 162.530801 \nL 286.068839 157.976441 \nL 289.975138 152.966168 \nL 293.787252 147.53855 \nL 297.431515 141.754575 \nL 300.824854 135.700227 \nL 303.876411 129.487652 \nL 306.490159 123.254257 \nL 308.568663 117.159106 \nL 310.017946 111.376288 \nL 310.753169 106.085123 \nL 310.704867 101.458006 \nL 309.824982 97.646891 \nL 308.092106 94.770299 \nL 305.515087 92.902829 \nL 302.134382 92.06896 \nL 298.0208 92.242311 \nL 293.27159 93.350545 \nL 288.004336 95.284941 \nL 282.349387 97.912965 \nL 276.44174 101.091603 \nL 270.413348 104.679536 \nL 264.386567 108.546631 \nL 258.469292 112.580311 \nL 252.751904 116.688487 \nL 247.305975 120.799893 \nL 242.184429 124.862496 \nL 237.4228 128.840693 \nL 233.041225 132.712147 \nL 229.046783 136.464601 \nL 225.435965 140.093097 \nL 222.197038 143.597609 \nL 219.312213 146.981238 \nL 216.759518 150.248873 \nL 214.514384 153.406228 \nL 212.550932 156.459238 \nL 210.842979 159.413667 \nL 209.364805 162.274911 \nL 208.09172 165.047869 \nL 207.000446 167.73696 \nL 205.278662 172.878848 \nL 204.048318 177.727238 \nL 203.187232 182.303686 \nL 202.599908 186.62618 \nL 202.078917 192.667338 \nL 201.846255 198.217648 \nL 201.817067 204.923752 \nL 202.007454 210.913462 \nL 202.386838 216.261047 \nL 202.982321 221.030614 \nL 203.614077 224.260697 \nL 204.459375 227.212503 \nL 205.175782 229.031179 \nL 206.045772 230.731595 \nL 207.10324 232.311651 \nL 208.38989 233.765285 \nL 209.956951 235.080714 \nL 211.867245 236.237789 \nL 214.197622 237.204057 \nL 217.041754 237.928897 \nL 218.691098 238.177946 \nL 220.513177 238.334888 \nL 222.525782 238.383788 \nL 224.748293 238.305176 \nL 227.20172 238.075318 \nL 229.908706 237.665377 \nL 232.89346 237.040431 \nL 236.18161 236.158361 \nL 239.799922 234.968609 \nL 243.775846 233.410852 \nL 248.136823 231.413638 \nL 252.909274 228.893136 \nL 258.117169 225.752159 \nL 263.780054 221.879776 \nL 269.910402 217.151958 \nL 276.510122 211.433889 \nL 283.566088 204.584749 \nL 291.044594 196.466026 \nL 298.884681 186.95452 \nL 306.990529 175.961133 \nL 315.223358 163.456177 \nL 323.393706 149.500712 \nL 331.255579 134.281561 \nL 338.504585 118.144675 \nL 344.782764 101.617722 \nL 349.6931 85.409585 \nL 352.825984 70.373576 \nL 353.797968 57.425546 \nL 352.300026 47.419868 \nL 348.147873 41.003374 \nL 341.323515 38.48474 \nL 331.995754 39.762523 \nL 320.511197 44.341901 \nL 307.354745 51.439331 \nL 293.088217 60.140897 \nL 263.455426 78.970652 \nL 249.036768 87.835 \nL 235.345366 95.833842 \nL 222.593028 102.817514 \nL 210.897851 108.760888 \nL 200.303778 113.717288 \nL 190.800857 117.782016 \nL 182.343176 121.06702 \nL 174.863252 123.685375 \nL 168.282744 125.742838 \nL 162.519922 127.334161 \nL 157.494568 128.54215 \nL 153.130927 129.438199 \nL 146.116674 130.530529 \nL 140.999679 131.00298 \nL 136.079151 131.160941 \nL 133.647254 131.235138 \nL 133.060947 131.449018 \nL 133.013973 131.634463 \nL 133.318017 132.188109 \nL 135.043336 134.053446 \nL 137.458916 136.780865 \nL 139.240647 139.17871 \nL 140.267184 140.843271 \nL 141.096187 142.496013 \nL 141.684618 144.083499 \nL 142.002342 145.555087 \nL 142.030943 146.863301 \nL 141.762468 147.963989 \nL 141.198429 148.816487 \nL 140.34909 149.384085 \nL 139.233154 149.634794 \nL 137.877848 149.542688 \nL 136.319333 149.089841 \nL 134.603212 148.268853 \nL 132.785037 147.085823 \nL 130.93037 145.563557 \nL 129.114125 143.744504 \nL 127.41881 141.692746 \nL 125.931275 139.494204 \nL 124.737934 137.254259 \nL 123.918466 135.092289 \nL 123.538588 133.133038 \nL 123.528389 132.267231 \nL 123.642705 131.495722 \nL 123.882739 130.830622 \nL 124.247697 130.282278 \nL 124.734742 129.859022 \nL 125.339029 129.566997 \nL 126.05375 129.41003 \nL 126.870271 129.389603 \nL 127.778312 129.504902 \nL 129.821058 130.128779 \nL 132.076477 131.235489 \nL 134.430179 132.755459 \nL 136.768135 134.60466 \nL 138.984602 136.693042 \nL 140.987783 138.931008 \nL 142.703007 141.233698 \nL 144.073601 143.522993 \nL 145.060019 145.727976 \nL 145.637879 147.784231 \nL 145.795568 149.632644 \nL 145.716145 150.46158 \nL 145.531966 151.218169 \nL 145.244238 151.895988 \nL 144.85464 152.488766 \nL 144.365296 152.990398 \nL 143.778799 153.394931 \nL 143.098206 153.696609 \nL 142.327081 153.889908 \nL 141.469521 153.969595 \nL 140.530214 153.930831 \nL 139.514498 153.769256 \nL 137.278868 153.06337 \nL 134.821013 151.831949 \nL 132.214273 150.072961 \nL 129.548704 147.809052 \nL 126.931653 145.094549 \nL 124.486291 142.021232 \nL 122.347207 138.721153 \nL 120.652478 135.364067 \nL 120.013088 133.72532 \nL 119.532195 132.147898 \nL 119.222488 130.658136 \nL 119.094335 129.281635 \nL 119.155338 128.042479 \nL 119.409974 126.962449 \nL 119.859295 126.060309 \nL 120.50075 125.351178 \nL 121.328116 124.846103 \nL 122.331603 124.551756 \nL 123.498035 124.470382 \nL 124.811208 124.599899 \nL 126.252326 124.934235 \nL 127.800536 125.463745 \nL 129.433527 126.175823 \nL 131.128122 127.055497 \nL 134.608742 129.249928 \nL 138.061681 131.904349 \nL 141.325479 134.875548 \nL 144.267237 138.03113 \nL 146.78634 141.255042 \nL 148.813528 144.448506 \nL 150.306782 147.527904 \nL 150.846131 149.002 \nL 151.245717 150.4213 \nL 151.505408 151.777999 \nL 151.625729 153.064552 \nL 151.607725 154.273577 \nL 151.452849 155.397767 \nL 151.162883 156.429818 \nL 150.739865 157.362345 \nL 150.18607 158.187872 \nL 149.503982 158.898759 \nL 148.696317 159.487213 \nL 147.766062 159.945276 \nL 146.71654 160.264871 \nL 145.551493 160.437837 \nL 144.275191 160.456029 \nL 142.892567 160.311421 \nL 141.409361 159.996279 \nL 139.832285 159.503383 \nL 138.169205 158.826267 \nL 136.429344 157.959534 \nL 134.623447 156.899246 \nL 132.763999 155.643312 \nL 130.865365 154.192006 \nL 128.943957 152.548437 \nL 127.01834 150.719107 \nL 125.109261 148.71442 \nL 123.239622 146.549186 \nL 121.434356 144.243002 \nL 119.720186 141.820533 \nL 118.125232 139.311593 \nL 116.678502 136.750983 \nL 115.40923 134.178056 \nL 114.346068 131.635936 \nL 113.516163 129.170429 \nL 112.944138 126.828606 \nL 112.651058 124.657129 \nL 112.653374 122.700448 \nL 112.962035 120.998887 \nL 113.581687 119.586911 \nL 114.510164 118.491601 \nL 115.738245 117.731543 \nL 117.249749 117.316202 \nL 119.021967 117.245868 \nL 121.026396 117.512096 \nL 123.229779 118.098682 \nL 125.595298 118.982981 \nL 128.083892 120.137448 \nL 130.655625 121.531275 \nL 133.270947 123.131969 \nL 135.891851 124.906759 \nL 138.482828 126.823776 \nL 141.011593 128.852932 \nL 143.449598 130.966529 \nL 145.772304 133.13959 \nL 147.959264 135.349995 \nL 149.994016 137.578411 \nL 151.86387 139.808112 \nL 153.559564 142.024709 \nL 155.074868 144.21586 \nL 156.40616 146.370927 \nL 157.551986 148.480687 \nL 158.512635 150.53701 \nL 159.289735 152.532609 \nL 159.88589 154.460787 \nL 160.30435 156.315212 \nL 160.548741 158.089779 \nL 160.622832 159.77839 \nL 160.530343 161.374853 \nL 160.274806 162.872725 \nL 159.85946 164.265225 \nL 159.287193 165.545098 \nL 158.560503 166.70455 \nL 157.68152 167.735144 \nL 156.652025 168.627734 \nL 155.473534 169.372401 \nL 154.147394 169.958404 \nL 152.674917 170.374166 \nL 151.057545 170.607265 \nL 149.297051 170.644497 \nL 147.395778 170.47195 \nL 145.35691 170.075186 \nL 143.18479 169.439463 \nL 140.885266 168.550077 \nL 138.4661 167.392835 \nL 135.937369 165.954616 \nL 133.311937 164.224131 \nL 130.605912 162.192843 \nL 127.839107 159.856022 \nL 125.035461 157.213977 \nL 122.223411 154.273406 \nL 119.436133 151.048791 \nL 116.711632 147.56379 \nL 114.092606 143.852429 \nL 111.626021 139.960018 \nL 109.362348 135.943544 \nL 107.354423 131.871366 \nL 105.655864 127.822012 \nL 104.319123 123.882031 \nL 103.393185 120.142758 \nL 102.921052 116.696213 \nL 102.937138 113.630253 \nL 103.464848 111.023538 \nL 104.514544 108.940697 \nL 106.082129 107.428273 \nL 108.148452 106.512096 \nL 110.67964 106.196158 \nL 113.628423 106.463414 \nL 116.936278 107.278201 \nL 120.536284 108.5899 \nL 124.356341 110.337531 \nL 128.322515 112.454374 \nL 132.362201 114.872406 \nL 136.406867 117.526031 \nL 140.394249 120.354763 \nL 144.269853 123.305063 \nL 147.98785 126.331171 \nL 151.51135 129.395204 \nL 154.81219 132.466722 \nL 157.870356 135.521916 \nL 160.673145 138.542662 \nL 163.214154 141.515471 \nL 165.492251 144.430554 \nL 167.510505 147.280929 \nL 169.275223 150.061715 \nL 170.795034 152.769495 \nL 172.080116 155.40187 \nL 173.141509 157.957068 \nL 173.990564 160.433675 \nL 174.638482 162.83039 \nL 175.09595 165.145901 \nL 175.372877 167.378728 \nL 175.47818 169.527132 \nL 175.419645 171.589023 \nL 175.203838 173.561891 \nL 174.83605 175.442688 \nL 174.320277 177.22779 \nL 173.659229 178.912864 \nL 172.854359 180.492796 \nL 171.905901 181.96154 \nL 170.812935 183.312038 \nL 169.573461 184.536025 \nL 168.184476 185.623918 \nL 166.642085 186.564608 \nL 164.941626 187.345315 \nL 163.077806 187.951369 \nL 161.044888 188.366043 \nL 158.836895 188.570365 \nL 156.447886 188.542949 \nL 153.872267 188.259916 \nL 151.10519 187.694828 \nL 148.143031 186.818743 \nL 144.983965 185.600451 \nL 141.628673 184.006909 \nL 138.081152 182.003944 \nL 134.349675 179.557339 \nL 130.447889 176.634352 \nL 126.396 173.205801 \nL 122.22212 169.248768 \nL 117.963556 164.749933 \nL 113.668122 159.709538 \nL 109.395202 154.145884 \nL 105.216482 148.099998 \nL 101.216087 141.640089 \nL 97.489881 134.865133 \nL 94.143626 127.906641 \nL 91.289889 120.927842 \nL 89.0434 114.119217 \nL 87.515016 107.689945 \nL 86.804504 101.855121 \nL 86.992666 96.819736 \nL 88.133666 92.760962 \nL 90.248529 89.811432 \nL 93.320862 88.046277 \nL 97.295625 87.476409 \nL 102.081423 88.049446 \nL 107.556198 89.65819 \nL 113.575615 92.154933 \nL 119.983054 95.368841 \nL 126.619867 99.123343 \nL 133.334689 103.25091 \nL 139.990899 107.603629 \nL 146.471692 112.05916 \nL 152.682793 116.522433 \nL 158.553002 120.924305 \nL 164.033099 125.218124 \nL 169.093627 129.375471 \nL 173.722018 133.38176 \nL 177.919496 137.23229 \nL 181.69806 140.928945 \nL 185.077696 144.477617 \nL 188.083959 147.886332 \nL 190.745935 151.163937 \nL 193.094604 154.319287 \nL 195.161548 157.360726 \nL 196.977986 160.295842 \nL 198.574071 163.131357 \nL 201.217765 168.526249 \nL 203.298525 173.583243 \nL 204.99005 178.330132 \nL 210.366985 194.542242 \nL 211.819123 197.939515 \nL 213.458482 201.071976 \nL 215.35149 203.926462 \nL 216.414651 205.242611 \nL 217.567762 206.479446 \nL 218.820557 207.63178 \nL 220.183348 208.693225 \nL 221.6671 209.655973 \nL 223.283499 210.510556 \nL 225.044995 211.245553 \nL 226.964837 211.847261 \nL 229.057074 212.299307 \nL 231.336533 212.582219 \nL 233.818745 212.672946 \nL 236.519822 212.544329 \nL 239.456246 212.164535 \nL 242.644566 211.496494 \nL 246.100968 210.497336 \nL 249.840685 209.117953 \nL 253.877186 207.302673 \nL 258.221134 204.989281 \nL 262.879031 202.109469 \nL 267.851503 198.589981 \nL 273.131153 194.354729 \nL 278.700039 189.32823 \nL 284.526626 183.44075 \nL 290.562396 176.635482 \nL 296.738225 168.878083 \nL 302.960747 160.168551 \nL 309.109215 150.554988 \nL 315.033437 140.148152 \nL 320.553694 129.13474 \nL 325.463555 117.786195 \nL 329.536666 106.459217 \nL 332.538235 95.583732 \nL 334.241397 85.635302 \nL 334.447655 77.091876 \nL 333.009322 70.378818 \nL 329.850635 65.811619 \nL 324.983323 63.548695 \nL 318.512981 63.566955 \nL 310.633612 65.667765 \nL 301.610644 69.512727 \nL 291.75518 74.679788 \nL 281.39435 80.72534 \nL 270.843087 87.237999 \nL 250.241348 100.378121 \nL 202.550529 131.07477 \nL 192.0829 138.12434 \nL 183.796035 144.032376 \nL 177.213114 149.036748 \nL 163.483695 159.904087 \nL 159.827069 162.2964 \nL 158.036657 163.258604 \nL 156.243201 164.058394 \nL 154.429179 164.689414 \nL 152.579816 165.144257 \nL 150.682945 165.414613 \nL 148.728908 165.491431 \nL 146.71052 165.3651 \nL 144.623068 165.025694 \nL 142.464368 164.463269 \nL 140.234863 163.668199 \nL 137.93776 162.631643 \nL 135.579204 161.346101 \nL 133.168493 159.80602 \nL 130.718269 158.008568 \nL 128.244714 155.954445 \nL 125.767744 153.648817 \nL 123.311092 151.102244 \nL 120.902311 148.331625 \nL 118.57266 145.361034 \nL 116.356821 142.222385 \nL 114.292362 138.955811 \nL 112.419004 135.609654 \nL 110.777618 132.239926 \nL 109.408943 128.90916 \nL 108.35209 125.684674 \nL 107.642863 122.636144 \nL 107.31194 119.832712 \nL 107.383143 117.339703 \nL 107.8718 115.21529 \nL 108.78347 113.507399 \nL 110.11304 112.251148 \nL 111.844454 111.467126 \nL 113.950973 111.160677 \nL 116.396112 111.322364 \nL 119.135118 111.929369 \nL 122.116875 112.947775 \nL 125.286095 114.335376 \nL 128.585628 116.044705 \nL 131.958643 118.025967 \nL 135.350646 120.229631 \nL 138.7111 122.608514 \nL 141.99467 125.119269 \nL 145.162024 127.72332 \nL 148.180239 130.387248 \nL 151.022849 133.082789 \nL 153.669582 135.786509 \nL 156.105899 138.479334 \nL 158.322376 141.145934 \nL 160.313993 143.774096 \nL 162.079397 146.354132 \nL 163.620184 148.878308 \nL 164.940212 151.340406 \nL 166.044962 153.735271 \nL 166.940996 156.058482 \nL 167.63547 158.306101 \nL 168.135744 160.474409 \nL 168.449029 162.559733 \nL 168.582152 164.558287 \nL 168.541336 166.466037 \nL 168.332059 168.278581 \nL 167.958947 169.991036 \nL 167.425729 171.597913 \nL 166.735193 173.093037 \nL 165.889206 174.469409 \nL 164.888744 175.719117 \nL 163.733955 176.833192 \nL 162.424241 177.801512 \nL 160.958375 178.612676 \nL 159.334638 179.253888 \nL 157.550988 179.710855 \nL 155.605272 179.967705 \nL 153.495476 180.006957 \nL 151.220015 179.809487 \nL 148.778079 179.354645 \nL 146.170058 178.620384 \nL 143.398011 177.583598 \nL 140.466235 176.220578 \nL 137.381879 174.507694 \nL 134.155672 172.422336 \nL 130.802692 169.94417 \nL 127.34319 167.056709 \nL 123.803445 163.749264 \nL 120.216563 160.019258 \nL 116.623215 155.874793 \nL 113.072142 151.337451 \nL 109.620405 146.445021 \nL 106.333179 141.253928 \nL 103.282959 135.840955 \nL 100.548103 130.303801 \nL 98.210525 124.759967 \nL 96.352554 119.343636 \nL 95.052981 114.200241 \nL 94.382517 109.478807 \nL 94.398893 105.322548 \nL 95.142147 101.858599 \nL 96.63055 99.18811 \nL 98.857784 97.378127 \nL 101.791802 96.456571 \nL 105.375641 96.411041 \nL 109.530251 97.191808 \nL 114.15905 98.718399 \nL 119.153661 100.888549 \nL 124.400242 103.588209 \nL 129.785672 106.701087 \nL 135.202992 110.116628 \nL 140.555713 113.735686 \nL 145.760758 117.473948 \nL 150.75005 121.26312 \nL 155.470884 125.05045 \nL 159.885337 128.797175 \nL 163.968967 132.476341 \nL 167.709115 136.070466 \nL 171.102975 139.5693 \nL 174.155669 142.967857 \nL 176.878403 146.264801 \nL 179.286815 149.46116 \nL 181.399528 152.5594 \nL 183.236946 155.56276 \nL 184.820264 158.474767 \nL 186.170691 161.29896 \nL 187.308852 164.038729 \nL 188.254354 166.697201 \nL 189.025474 169.277211 \nL 189.638964 171.781294 \nL 190.109935 174.211686 \nL 190.676294 178.859008 \nL 190.811842 183.231957 \nL 190.578434 187.339637 \nL 190.014869 191.187559 \nL 189.139437 194.777226 \nL 187.952161 198.105256 \nL 186.436487 201.161906 \nL 185.546066 202.583154 \nL 184.560333 203.92886 \nL 183.472927 205.19488 \nL 182.276546 206.376069 \nL 180.962937 207.466107 \nL 179.522891 208.457295 \nL 177.946227 209.340317 \nL 176.221799 210.103947 \nL 174.337498 210.734744 \nL 172.280284 211.216669 \nL 170.036234 211.530671 \nL 167.590638 211.654223 \nL 164.928142 211.560811 \nL 162.032965 211.219397 \nL 158.889206 210.593858 \nL 155.481277 209.642479 \nL 151.794479 208.3175 \nL 147.815793 206.564824 \nL 143.534894 204.324032 \nL 138.945463 201.528801 \nL 134.046841 198.108014 \nL 128.846083 193.987761 \nL 123.360418 189.094616 \nL 117.620148 183.360506 \nL 111.671911 176.72955 \nL 105.582197 169.167128 \nL 99.440833 160.671168 \nL 93.36405 151.285291 \nL 87.496547 141.112806 \nL 82.011699 130.329564 \nL 77.109061 119.192853 \nL 73.00809 108.042609 \nL 69.937471 97.29092 \nL 68.119667 87.396996 \nL 67.751525 78.8269 \nL 68.982739 72.001728 \nL 71.895231 67.242369 \nL 76.487397 64.72269 \nL 82.666901 64.443118 \nL 90.254541 66.232648 \nL 98.999365 69.779812 \nL 108.602606 74.68443 \nL 118.746013 80.517044 \nL 129.119492 86.872128 \nL 149.485213 99.853801 \nL 190.885822 126.661139 \nL 202.659426 134.539713 \nL 212.029584 141.141678 \nL 219.449201 146.735282 \nL 225.382062 151.517577 \nL 236.330648 160.604123 \nL 239.977501 163.183045 \nL 241.762098 164.241724 \nL 243.550094 165.140103 \nL 245.359821 165.871734 \nL 247.206939 166.428995 \nL 249.104568 166.803234 \nL 251.063396 166.984902 \nL 253.091727 166.963678 \nL 255.19548 166.728711 \nL 257.378145 166.268841 \nL 259.640661 165.572942 \nL 261.981275 164.630326 \nL 264.395341 163.431236 \nL 266.875102 161.967511 \nL 269.409423 160.233293 \nL 271.983524 158.225908 \nL 274.578774 155.946814 \nL 277.17245 153.402665 \nL 279.737658 150.606377 \nL 282.243325 147.578205 \nL 284.654355 144.346636 \nL 286.932029 140.949098 \nL 289.034613 137.432279 \nL 290.918312 133.851917 \nL 292.538446 130.272026 \nL 293.851002 126.763317 \nL 294.814405 123.400938 \nL 295.391456 120.261475 \nL 295.551387 117.419425 \nL 295.271788 114.943357 \nL 294.540321 112.892189 \nL 293.355999 111.311846 \nL 291.729897 110.232732 \nL 289.685198 109.668363 \nL 287.256508 109.615193 \nL 284.488478 110.053796 \nL 281.433856 110.951062 \nL 278.151136 112.263276 \nL 274.701975 113.939494 \nL 271.148616 115.925106 \nL 267.551542 118.164957 \nL 263.967436 120.60596 \nL 260.44761 123.19904 \nL 257.036949 125.900413 \nL 253.773288 128.672155 \nL 250.687259 131.48231 \nL 247.802489 134.304566 \nL 245.13607 137.117719 \nL 242.699219 139.904989 \nL 240.498066 142.653254 \nL 238.534472 145.352366 \nL 236.806856 147.994505 \nL 235.310974 150.573599 \nL 234.040648 153.084842 \nL 232.988394 155.524321 \nL 232.145974 157.888686 \nL 231.504865 160.174898 \nL 231.056635 162.380026 \nL 230.793247 164.501083 \nL 230.707301 166.534881 \nL 230.792201 168.477918 \nL 231.042282 170.32628 \nL 231.452888 172.075504 \nL 232.020416 173.720503 \nL 232.742318 175.255444 \nL 233.617092 176.673647 \nL 234.644233 177.967463 \nL 235.824164 179.12814 \nL 237.158159 180.145699 \nL 238.648224 181.0088 \nL 240.296963 181.704604 \nL 242.10741 182.218629 \nL 244.082829 182.534654 \nL 246.226478 182.634622 \nL 248.54132 182.498587 \nL 251.029673 182.104743 \nL 253.692799 181.429503 \nL 256.530429 180.447762 \nL 259.540174 179.13327 \nL 262.716881 177.459279 \nL 266.051871 175.399393 \nL 269.532105 172.928798 \nL 273.13926 170.025878 \nL 276.848757 166.674196 \nL 280.628796 162.865 \nL 284.439434 158.600045 \nL 288.231825 153.894799 \nL 291.947743 148.781748 \nL 295.51952 143.313481 \nL 298.870569 137.565256 \nL 301.916692 131.636348 \nL 304.568261 125.64973 \nL 306.733452 119.749454 \nL 308.322445 114.095305 \nL 309.252488 108.854707 \nL 309.453499 104.192182 \nL 308.873746 100.257306 \nL 307.484894 97.172658 \nL 305.285876 95.023337 \nL 302.304802 93.849873 \nL 298.598653 93.645791 \nL 294.250522 94.36013 \nL 289.364675 95.904724 \nL 284.060038 98.164582 \nL 278.462855 101.009912 \nL 272.699395 104.307721 \nL 266.889451 107.931524 \nL 261.141175 111.768402 \nL 255.547537 115.72308 \nL 250.184417 119.719297 \nL 245.110156 123.699173 \nL 240.366269 127.621185 \nL 235.978966 131.457472 \nL 231.961179 135.190955 \nL 228.31478 138.812616 \nL 225.032838 142.319193 \nL 222.101718 145.711249 \nL 219.502963 148.99174 \nL 217.214913 152.164965 \nL 215.214055 155.235807 \nL 213.476094 158.209293 \nL 211.976808 161.090261 \nL 210.692675 163.883227 \nL 209.601335 166.592325 \nL 208.681895 169.221275 \nL 207.28356 174.251701 \nL 206.365084 178.997261 \nL 205.821809 183.476499 \nL 205.574791 187.704857 \nL 205.567514 191.69552 \nL 205.762423 195.459803 \nL 206.137796 199.007323 \nL 206.685197 202.345918 \nL 207.407612 205.481359 \nL 208.318257 208.416839 \nL 209.44003 211.152163 \nL 210.805546 213.682553 \nL 212.457703 215.996895 \nL 214.450716 218.075222 \nL 215.595429 219.01634 \nL 216.851555 219.885016 \nL 218.229747 220.674357 \nL 219.741672 221.375917 \nL 221.400075 221.979381 \nL 223.218824 222.472225 \nL 225.212947 222.839291 \nL 227.398643 223.062306 \nL 229.793266 223.119322 \nL 232.415263 222.984079 \nL 235.284054 222.625295 \nL 238.419815 222.005867 \nL 241.843158 221.082059 \nL 245.574654 219.802657 \nL 249.634152 218.108196 \nL 254.039834 215.93036 \nL 258.806963 213.191708 \nL 263.946191 209.805968 \nL 269.461392 205.679223 \nL 275.346941 200.712383 \nL 281.584293 194.805516 \nL 288.137945 187.864633 \nL 294.95076 179.8115 \nL 301.938828 170.597065 \nL 308.98631 160.218553 \nL 315.940832 148.739661 \nL 322.610411 136.312045 \nL 328.763296 123.194792 \nL 334.132217 109.766567 \nL 338.424682 96.523754 \nL 341.340514 84.057905 \nL 342.59661 73.00787 \nL 341.957435 63.988172 \nL 339.267058 57.502886 \nL 334.477199 53.863358 \nL 327.664303 53.131976 \nL 319.030351 55.110274 \nL 308.885378 59.37755 \nL 297.614391 65.36947 \nL 285.635477 72.473666 \nL 261.14783 87.824774 \nL 249.306209 95.249482 \nL 238.059333 102.167959 \nL 227.560146 108.463073 \nL 217.896579 114.096932 \nL 201.175142 123.471726 \nL 187.756543 130.691093 \nL 165.45096 142.341984 \nL 157.143176 146.504033 \nL 152.822544 148.445048 \nL 149.119683 149.801842 \nL 145.814145 150.607576 \nL 144.259365 150.808926 \nL 142.749873 150.877393 \nL 141.274624 150.813748 \nL 139.825471 150.61883 \nL 138.396932 150.293787 \nL 136.986011 149.840298 \nL 135.592009 149.260786 \nL 134.216363 148.558661 \nL 131.535681 146.806319 \nL 128.992311 144.637599 \nL 126.6584 142.133833 \nL 124.623262 139.405798 \nL 122.985046 136.592388 \nL 121.840452 133.854178 \nL 121.480201 132.566588 \nL 121.272962 131.361666 \nL 121.22512 130.259615 \nL 121.340802 129.279117 \nL 121.621626 128.436777 \nL 122.066494 127.746651 \nL 122.671508 127.219847 \nL 123.429988 126.864236 \nL 124.332528 126.684298 \nL 125.367215 126.681129 \nL 126.519907 126.852545 \nL 127.774563 127.19333 \nL 129.113687 127.695587 \nL 131.970542 129.141951 \nL 134.937764 131.091052 \nL 137.86672 133.427565 \nL 140.623761 136.033663 \nL 143.097278 138.79762 \nL 145.200769 141.618489 \nL 146.872519 144.407326 \nL 148.072927 147.086294 \nL 148.780629 149.586463 \nL 148.946992 150.749769 \nL 148.988331 151.845258 \nL 148.90533 152.865686 \nL 148.699141 153.803926 \nL 148.371329 154.652912 \nL 147.923818 155.405604 \nL 147.358897 156.054971 \nL 146.679198 156.593962 \nL 145.887727 157.015565 \nL 144.987907 157.31278 \nL 143.983633 157.478723 \nL 142.87935 157.506679 \nL 141.68016 157.390215 \nL 140.391907 157.123327 \nL 139.02132 156.70062 \nL 137.576127 156.117511 \nL 136.065195 155.370489 \nL 134.498664 154.457395 \nL 132.888062 153.377759 \nL 131.246424 152.133138 \nL 129.588373 150.727491 \nL 127.930152 149.16755 \nL 126.289642 147.463171 \nL 124.686292 145.627648 \nL 123.140983 143.677956 \nL 121.6758 141.634899 \nL 120.313731 139.523084 \nL 119.078242 137.370766 \nL 117.992759 135.209481 \nL 117.080071 133.073427 \nL 116.361646 130.998689 \nL 115.856889 129.022207 \nL 115.582375 127.180611 \nL 115.551145 125.508924 \nL 115.77202 124.039264 \nL 116.249045 122.799603 \nL 116.981121 121.812681 \nL 117.961782 121.095147 \nL 119.179263 120.657066 \nL 120.616728 120.501709 \nL 122.252777 120.625745 \nL 124.062104 121.019785 \nL 126.016322 121.669135 \nL 128.084901 122.554812 \nL 130.236144 123.654636 \nL 132.438117 124.944307 \nL 134.659538 126.398499 \nL 136.87056 127.991741 \nL 141.152803 131.497264 \nL 145.094807 135.279001 \nL 148.553971 139.183421 \nL 150.070927 141.141926 \nL 151.434729 143.086916 \nL 152.639761 145.006956 \nL 153.682402 146.891847 \nL 154.560702 148.732389 \nL 155.274086 150.520198 \nL 155.823059 152.247504 \nL 156.208947 153.906961 \nL 156.433663 155.491501 \nL 156.499506 156.994178 \nL 156.409004 158.408047 \nL 156.164772 159.726042 \nL 155.769427 160.940883 \nL 155.225531 162.04498 \nL 154.535552 163.030369 \nL 153.701873 163.888657 \nL 152.726823 164.610961 \nL 151.612754 165.187895 \nL 150.362117 165.609557 \nL 148.977597 165.865585 \nL 147.462263 165.945177 \nL 145.819757 165.837218 \nL 144.054497 165.530444 \nL 142.171927 165.013652 \nL 140.178782 164.275983 \nL 138.083379 163.307321 \nL 135.895926 162.098767 \nL 133.628867 160.643187 \nL 131.297168 158.935922 \nL 128.918652 156.975558 \nL 126.514265 154.764794 \nL 124.108283 152.311355 \nL 121.728423 149.628918 \nL 119.405861 146.738015 \nL 117.175035 143.666753 \nL 115.073297 140.45132 \nL 113.140294 137.136159 \nL 111.41712 133.773643 \nL 109.945181 130.423237 \nL 108.764831 127.149984 \nL 107.913762 124.022409 \nL 107.425299 121.109819 \nL 107.326608 118.479182 \nL 107.637036 116.191814 \nL 108.366684 114.30014 \nL 109.515331 112.844895 \nL 111.071893 111.853005 \nL 113.014442 111.336461 \nL 115.310874 111.29225 \nL 117.920138 111.703292 \nL 120.793948 112.540433 \nL 123.878894 113.764994 \nL 127.118671 115.33172 \nL 130.456351 117.191755 \nL 133.836462 119.295434 \nL 137.206797 121.594544 \nL 140.519796 124.044095 \nL 143.733574 126.603472 \nL 146.812481 129.237072 \nL 149.727296 131.914447 \nL 152.455104 134.610116 \nL 154.978917 137.303173 \nL 157.287125 139.976693 \nL 159.372819 142.617145 \nL 161.233072 145.213754 \nL 162.868207 147.757963 \nL 164.281098 150.242886 \nL 165.476514 152.662897 \nL 166.460534 155.013251 \nL 167.240047 157.289784 \nL 167.822299 159.48866 \nL 168.214551 161.606171 \nL 168.423776 163.638556 \nL 168.456437 165.581867 \nL 168.318319 167.43183 \nL 168.014402 169.183752 \nL 167.548794 170.832383 \nL 166.92468 172.371829 \nL 166.14432 173.795419 \nL 165.209078 175.095616 \nL 164.11946 176.26389 \nL 162.875203 177.290596 \nL 161.475366 178.164882 \nL 159.918459 178.874528 \nL 158.202604 179.405888 \nL 156.325731 179.743769 \nL 154.285801 179.871385 \nL 152.08109 179.770329 \nL 149.710501 179.420628 \nL 147.173972 178.800862 \nL 144.472909 177.888436 \nL 141.610713 176.659943 \nL 138.593388 175.091796 \nL 135.430214 173.161041 \nL 132.134482 170.846472 \nL 128.724322 168.130067 \nL 125.22351 164.998809 \nL 121.662327 161.446806 \nL 118.078288 157.477781 \nL 114.516763 153.107745 \nL 111.031325 148.367785 \nL 107.683727 143.306603 \nL 104.543376 137.992562 \nL 101.686142 132.514694 \nL 99.192396 126.982345 \nL 97.144223 121.522856 \nL 95.621815 116.277085 \nL 94.699143 111.392698 \nL 94.439208 107.015381 \nL 94.889227 103.278951 \nL 96.076303 100.295196 \nL 98.00405 98.145003 \nL 100.650772 96.871999 \nL 103.969494 96.479851 \nL 107.889964 96.933562 \nL 112.322548 98.16465 \nL 117.163514 100.079243 \nL 122.301161 102.567747 \nL 127.622062 105.514622 \nL 133.016838 108.806967 \nL 138.384914 112.341199 \nL 143.63799 116.027302 \nL 148.70217 119.79083 \nL 153.518796 123.573108 \nL 158.04421 127.330041 \nL 162.24874 131.030191 \nL 166.115144 134.65246 \nL 169.636766 138.183831 \nL 172.815608 141.61729 \nL 175.660462 144.95006 \nL 178.185179 148.182229 \nL 180.40715 151.315671 \nL 182.346004 154.353264 \nL 184.022544 157.298374 \nL 185.457886 160.154497 \nL 186.672795 162.925022 \nL 187.687184 165.613128 \nL 188.519758 168.221719 \nL 189.187777 170.753398 \nL 189.706901 173.210469 \nL 190.352735 177.90864 \nL 190.549039 182.329407 \nL 190.361799 186.482154 \nL 189.833402 190.372588 \nL 188.985155 194.002364 \nL 187.819578 197.368255 \nL 186.322178 200.460684 \nL 185.440163 201.899109 \nL 184.462613 203.261568 \nL 183.383348 204.543959 \nL 182.195244 205.74119 \nL 180.89022 206.847013 \nL 179.459237 207.85381 \nL 177.892285 208.752369 \nL 176.17839 209.531595 \nL 174.305622 210.178199 \nL 172.261121 210.676337 \nL 170.031156 211.007191 \nL 167.601212 211.148523 \nL 164.956138 211.074167 \nL 162.080362 210.753505 \nL 158.958182 210.15092 \nL 155.574207 209.225296 \nL 151.913921 207.929566 \nL 147.964453 206.210443 \nL 143.715573 204.008414 \nL 139.160986 201.258162 \nL 134.299955 197.889633 \nL 129.139289 193.829985 \nL 123.695787 189.006776 \nL 117.999054 183.352712 \nL 112.094717 176.812286 \nL 106.047842 169.350603 \nL 99.946407 160.96441 \nL 93.904297 151.694912 \nL 88.063384 141.641485 \nL 82.593813 130.974357 \nL 77.691635 119.943549 \nL 73.572871 108.880436 \nL 70.463162 98.188118 \nL 68.582841 88.317593 \nL 68.12807 79.729013 \nL 69.249689 72.841473 \nL 72.0329 67.978788 \nL 76.481406 65.322843 \nL 82.509731 64.886192 \nL 89.946318 66.512066 \nL 98.547683 69.902854 \nL 108.021405 74.669681 \nL 118.053792 80.390422 \nL 128.337206 86.662599 \nL 148.585805 99.560285 \nL 183.037839 121.901463 \nL 196.177672 130.599176 \nL 206.729109 137.879584 \nL 215.094874 144.027888 \nL 221.737571 149.27717 \nL 229.431947 155.797256 \nL 235.511421 160.919582 \nL 239.151412 163.591672 \nL 240.931528 164.698801 \nL 242.714833 165.646951 \nL 244.520055 166.429654 \nL 246.363287 167.039262 \nL 248.25812 167.467014 \nL 250.215753 167.703172 \nL 252.245053 167.737148 \nL 254.352548 167.557707 \nL 256.542384 167.153183 \nL 258.816216 166.511765 \nL 261.173053 165.621916 \nL 263.609055 164.472853 \nL 266.117298 163.055147 \nL 268.687487 161.361466 \nL 271.305674 159.387424 \nL 273.954007 157.132577 \nL 276.61046 154.601498 \nL 279.248675 151.804927 \nL 281.837911 148.76091 \nL 284.343126 145.495861 \nL 286.725302 142.045393 \nL 288.941995 138.454822 \nL 290.94819 134.779185 \nL 292.697471 131.082599 \nL 294.143547 127.436913 \nL 295.242014 123.91952 \nL 295.952406 120.610388 \nL 296.240327 117.588451 \nL 296.07955 114.927581 \nL 295.453951 112.692527 \nL 294.358989 110.935183 \nL 292.802672 109.691625 \nL 290.8058 108.980284 \nL 288.401451 108.801451 \nL 285.633688 109.138185 \nL 282.555653 109.95847 \nL 279.227125 111.218319 \nL 275.711817 112.865365 \nL 272.07465 114.842686 \nL 268.379153 117.092232 \nL 264.685244 119.557765 \nL 261.047476 122.187108 \nL 257.513777 124.933558 \nL 254.12474 127.756646 \nL 250.913371 130.622283 \nL 247.905247 133.50249 \nL 245.118978 136.374791 \nL 242.566887 139.221517 \nL 240.255824 142.028991 \nL 238.188039 144.786747 \nL 236.362059 147.486852 \nL 234.773514 150.123279 \nL 233.415922 152.691375 \nL 232.281346 155.18745 \nL 231.361012 157.608455 \nL 230.645793 159.951682 \nL 230.126616 162.214572 \nL 229.794798 164.394528 \nL 229.642296 166.488794 \nL 229.661895 168.494311 \nL 229.847347 170.407645 \nL 230.193455 172.224857 \nL 230.696127 173.941415 \nL 231.35239 175.552086 \nL 232.160379 177.050833 \nL 233.119297 178.430691 \nL 234.22937 179.683653 \nL 235.491757 180.800529 \nL 236.908463 181.770802 \nL 238.482214 182.582496 \nL 240.216307 183.222005 \nL 242.11444 183.673986 \nL 244.180492 183.921201 \nL 246.418273 183.944437 \nL 248.831215 183.722463 \nL 251.421999 183.232051 \nL 254.192108 182.448072 \nL 257.141314 181.343795 \nL 260.267046 179.891324 \nL 263.563685 178.062293 \nL 267.021739 175.828858 \nL 270.626934 173.165075 \nL 274.359213 170.048686 \nL 278.191696 166.463382 \nL 282.089644 162.40155 \nL 286.009476 157.867446 \nL 289.898019 152.880683 \nL 293.692029 147.479821 \nL 297.318268 141.725643 \nL 300.694193 135.703678 \nL 303.729589 129.525355 \nL 306.329159 123.327049 \nL 308.396261 117.266543 \nL 309.837705 111.516408 \nL 310.569417 106.254381 \nL 310.522532 101.651296 \nL 309.64944 97.857773 \nL 307.928901 94.991442 \nL 305.369631 93.126524 \nL 302.011648 92.287705 \nL 297.925027 92.449391 \nL 293.206052 93.540461 \nL 287.971207 95.453736 \nL 282.349699 98.058292 \nL 276.475426 101.212641 \nL 270.479377 104.77673 \nL 264.483127 108.621436 \nL 258.594019 112.634817 \nL 252.902085 116.725145 \nL 247.478748 120.821253 \nL 242.376951 124.871018 \nL 237.632381 128.838654 \nL 233.265407 132.701544 \nL 229.283412 136.447163 \nL 225.683218 140.070264 \nL 222.453438 143.570562 \nL 219.576615 146.950936 \nL 217.0311 150.216078 \nL 214.792623 153.371558 \nL 212.835576 156.423171 \nL 211.134024 159.37659 \nL 209.662471 162.237114 \nL 208.396429 165.009592 \nL 207.312801 167.698384 \nL 205.608766 172.840067 \nL 204.400427 177.688568 \nL 203.566696 182.265282 \nL 203.013176 186.588058 \nL 202.668559 190.67233 \nL 202.433371 196.381307 \nL 202.439209 201.625823 \nL 202.625556 206.44275 \nL 202.969875 210.864959 \nL 203.477382 214.921344 \nL 204.176001 218.636311 \nL 204.771511 220.932804 \nL 205.494072 223.089717 \nL 206.369606 225.108669 \nL 207.430386 226.988457 \nL 208.716276 228.723923 \nL 210.276276 230.304267 \nL 212.170421 231.710522 \nL 214.472011 232.911858 \nL 215.802759 233.421493 \nL 217.27018 233.860071 \nL 218.888349 234.217538 \nL 220.67267 234.481561 \nL 222.63997 234.637062 \nL 224.808546 234.665655 \nL 227.198207 234.544994 \nL 229.830264 234.248003 \nL 232.727479 233.741988 \nL 235.913906 232.987626 \nL 239.414647 231.937855 \nL 243.255422 230.536679 \nL 247.461938 228.717952 \nL 252.05897 226.404245 \nL 257.069062 223.505971 \nL 262.510748 219.921031 \nL 268.396174 215.535329 \nL 274.727978 210.224744 \nL 281.495297 203.859228 \nL 288.668809 196.309932 \nL 296.194801 187.460366 \nL 303.988352 177.222591 \nL 311.92603 165.55905 \nL 319.838788 152.509887 \nL 327.506339 138.223983 \nL 334.654701 122.989485 \nL 340.959337 107.256634 \nL 346.056305 91.642621 \nL 349.563849 76.906876 \nL 351.11494 63.888101 \nL 350.399202 53.402384 \nL 347.208685 46.115911 \nL 341.47854 42.421106 \nL 333.311977 42.353359 \nL 322.980743 45.579309 \nL 310.897964 51.465316 \nL 297.568234 59.205432 \nL 283.526687 67.967774 \nL 269.280995 77.016849 \nL 255.267704 85.786282 \nL 241.828045 93.898933 \nL 229.202361 101.148148 \nL 217.538209 107.459106 \nL 206.906131 112.846368 \nL 197.317953 117.377252 \nL 188.744149 121.144557 \nL 188.744149 121.144557 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p7da65669b6\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     },
@@ -292,8 +292,8 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.1128pt\" version=\"1.1\" viewBox=\"0 0 293.288135 285.1128\" width=\"293.288135pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:19:19.611643</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.1128 \nL 293.288135 285.1128 \nL 293.288135 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 34.071442 209.911053 \nL 121.593357 135.901882 \nL 120.643033 29.498337 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 64.951238 219.996394 \nL 150.814352 144.395272 \nL 151.114775 37.222035 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.528025 230.309373 \nL 180.639768 153.064343 \nL 182.244298 45.112462 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 128.825669 240.857783 \nL 211.088553 161.914602 \nL 214.053135 53.175075 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 161.86914 251.649781 \nL 242.180457 170.951791 \nL 246.563767 61.415572 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 34.833527 209.266628 \nL 32.544005 211.202665 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(15.987807 233.204487)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 65.699557 219.337512 \nL 63.451357 221.317016 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(46.899219 243.503514)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 97.261758 229.63554 \nL 95.057341 231.659993 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(85.88208 254.035885)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 129.543953 240.168486 \nL 127.385916 242.239436 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(115.037025 264.80962)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 162.571062 250.94448 \nL 160.462149 253.063547 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(148.12284 275.833112)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 36.679011 84.191251 \nL 41.384589 195.885704 \nL 189.556047 243.4019 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 52.042534 72.979652 \nL 56.017982 183.619703 \nL 202.809336 229.800765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 66.969555 62.086591 \nL 70.253376 171.687314 \nL 215.683462 216.588745 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.478418 51.498684 \nL 84.10679 160.075107 \nL 228.194466 203.749377 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 95.586449 41.203285 \nL 97.593395 148.770368 \nL 240.357498 191.267114 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.310034 31.188438 \nL 110.72757 137.761042 \nL 252.186875 179.127263 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 188.307902 243.00164 \nL 192.055539 244.203447 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(191.786654 264.312879)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 201.573719 229.412036 \nL 205.283695 230.579207 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(204.862086 250.510476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 214.460172 216.211055 \nL 218.133092 217.345066 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(224.934321 237.103174)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 226.983303 203.382263 \nL 230.619768 204.484508 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(234.095765 224.074247)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 239.158266 190.910138 \nL 242.758867 191.981933 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(246.094976 211.407901)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 250.99938 178.78001 \nL 254.564704 179.822599 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(257.764844 199.089208)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.149082 154.000258 \nL 114.938072 113.678255 \nL 26.256507 186.167819 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.028803 134.789398 \nL 114.724319 95.089715 \nL 25.308485 166.481525 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.922293 115.277868 \nL 114.507382 76.224288 \nL 24.345053 146.47524 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.829877 95.458555 \nL 114.287189 57.075741 \nL 23.365833 126.1411 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.751891 75.324119 \nL 114.063666 37.637654 \nL 22.370433 105.470977 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.955062 153.661709 \nL 259.539988 154.678167 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.188225 159.03501)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 256.825161 134.455952 \nL 260.438997 135.457094 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.207714 139.862844)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 257.708873 114.949728 \nL 261.352089 115.934949 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.243109 120.391536)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 258.606519 95.135929 \nL 262.279595 96.1046 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.294788 100.61403)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 259.518432 75.007224 \nL 263.221862 75.958692 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 50 -->\n     <g transform=\"translate(273.363135 80.523046)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_21\">\n    <path clip-path=\"url(#p3d43aded5f)\" d=\"M 140.797496 191.334594 \nL 141.001805 190.52345 \nL 141.488009 189.919231 \nL 142.232715 189.408998 \nL 143.859659 188.652844 \nL 158.20112 182.810515 \nL 163.168004 180.455924 \nL 169.250049 177.297653 \nL 176.619573 173.051005 \nL 180.830924 170.409492 \nL 185.405721 167.354906 \nL 190.340973 163.832921 \nL 195.618564 159.789353 \nL 201.199427 155.174612 \nL 207.016444 149.950489 \nL 212.966156 144.099867 \nL 218.899779 137.639905 \nL 224.614551 130.638724 \nL 229.847228 123.234787 \nL 234.272709 115.656514 \nL 237.511957 108.237113 \nL 239.154163 101.416586 \nL 238.7978 95.720194 \nL 236.111777 91.702661 \nL 230.910758 89.85426 \nL 223.227567 90.48034 \nL 213.35543 93.588302 \nL 201.832519 98.832008 \nL 189.358645 105.554964 \nL 152.97343 126.612094 \nL 142.677733 131.917884 \nL 133.581667 135.94825 \nL 125.65398 138.751168 \nL 118.80288 140.474107 \nL 112.915157 141.301107 \nL 107.87967 141.413131 \nL 103.598714 140.969036 \nL 99.991693 140.100371 \nL 96.994608 138.913587 \nL 94.557544 137.495261 \nL 92.641427 135.91775 \nL 91.214655 134.243945 \nL 90.249939 132.530701 \nL 89.721543 130.830925 \nL 89.603006 129.194347 \nL 89.86545 127.667353 \nL 90.476518 126.292137 \nL 91.399956 125.105434 \nL 92.59582 124.137229 \nL 94.021171 123.409656 \nL 95.631221 122.93627 \nL 97.380674 122.721901 \nL 99.225159 122.763026 \nL 101.12257 123.048655 \nL 103.034215 123.561639 \nL 104.925662 124.280175 \nL 106.767286 125.179425 \nL 108.534491 126.233035 \nL 110.207652 127.414456 \nL 111.771864 128.698064 \nL 113.216499 130.05994 \nL 114.534691 131.478425 \nL 115.722757 132.93439 \nL 117.706277 135.895384 \nL 119.180185 138.840841 \nL 120.175675 141.703332 \nL 120.73051 144.441839 \nL 120.881134 147.033703 \nL 120.657774 149.467764 \nL 120.081809 151.738971 \nL 119.164708 153.844197 \nL 117.908056 155.778876 \nL 116.304363 157.534077 \nL 114.338559 159.093672 \nL 111.990281 160.431266 \nL 109.237265 161.506717 \nL 107.702694 161.928861 \nL 106.060371 162.26215 \nL 104.309606 162.495892 \nL 102.451005 162.617763 \nL 100.486899 162.613743 \nL 98.421834 162.46807 \nL 96.263151 162.163278 \nL 94.021614 161.680347 \nL 91.712114 160.999016 \nL 89.354381 160.098267 \nL 86.973708 158.957092 \nL 84.60158 157.555541 \nL 82.276159 155.876159 \nL 80.042469 153.905759 \nL 77.952206 151.637605 \nL 76.06294 149.073838 \nL 74.43664 146.228068 \nL 73.137361 143.127837 \nL 72.228076 139.816566 \nL 71.766736 136.354603 \nL 71.801791 132.818857 \nL 72.367594 129.300612 \nL 73.480274 125.90136 \nL 75.134676 122.726728 \nL 77.303015 119.878977 \nL 79.935627 117.449003 \nL 82.963869 115.508941 \nL 86.304912 114.106496 \nL 89.867734 113.261933 \nL 93.559518 112.968076 \nL 97.291562 113.193199 \nL 100.984055 113.886115 \nL 104.56931 114.982497 \nL 107.993405 116.41134 \nL 111.216397 118.1008 \nL 114.211452 119.982779 \nL 116.963281 121.996072 \nL 119.466222 124.088114 \nL 121.722263 126.215555 \nL 123.739167 128.343981 \nL 125.528827 130.447104 \nL 127.105865 132.505647 \nL 129.687742 136.439867 \nL 131.619537 140.089167 \nL 133.030143 143.441651 \nL 134.032925 146.509974 \nL 134.722048 149.318232 \nL 135.172342 151.89443 \nL 135.520942 155.384029 \nL 135.589519 158.498045 \nL 135.452983 161.306131 \nL 135.144922 163.864036 \nL 134.668584 166.216484 \nL 134.003104 168.400289 \nL 133.105634 170.446858 \nL 132.346864 171.7487 \nL 131.430055 173.009032 \nL 130.322833 174.234054 \nL 128.985465 175.428447 \nL 127.369533 176.594404 \nL 125.416446 177.730011 \nL 123.055916 178.826648 \nL 120.20466 179.864876 \nL 116.765859 180.808075 \nL 112.630397 181.592791 \nL 107.681697 182.11448 \nL 104.866566 182.227939 \nL 101.807386 182.207261 \nL 98.49464 182.017711 \nL 94.923065 181.617066 \nL 91.093648 180.954634 \nL 87.016187 179.970437 \nL 82.712487 178.594832 \nL 78.220209 176.74887 \nL 73.5973 174.345875 \nL 68.926772 171.294882 \nL 64.321327 167.506642 \nL 59.92697 162.902957 \nL 55.92432 157.429887 \nL 52.525867 151.074752 \nL 49.967272 143.88574 \nL 48.490959 135.991257 \nL 48.32157 127.614099 \nL 49.634864 119.073947 \nL 52.524916 110.771809 \nL 56.977147 103.152904 \nL 62.85593 96.650621 \nL 69.913134 91.622095 \nL 77.818195 88.291539 \nL 86.203225 86.717728 \nL 94.711438 86.795012 \nL 103.036819 88.285948 \nL 110.947356 90.873708 \nL 118.290585 94.218113 \nL 124.98554 98.001691 \nL 131.007415 101.958768 \nL 136.370641 105.887286 \nL 141.114008 109.647457 \nL 148.953652 116.357936 \nL 157.441202 124.103995 \nL 164.685805 130.713441 \nL 168.304013 133.672465 \nL 170.208287 134.969621 \nL 171.850388 135.848279 \nL 173.31221 136.385824 \nL 174.646468 136.642655 \nL 175.882422 136.667694 \nL 177.030583 136.502846 \nL 178.086713 136.186415 \nL 179.462507 135.508996 \nL 180.514137 134.702264 \nL 181.149176 133.898124 \nL 181.302076 133.427383 \nL 181.22232 133.049203 \nL 180.908398 132.791426 \nL 180.37178 132.673493 \nL 179.637122 132.70499 \nL 178.246303 133.02836 \nL 176.652401 133.64392 \nL 175.031826 134.478384 \nL 173.55137 135.443567 \nL 172.347841 136.451379 \nL 171.518551 137.42221 \nL 171.121226 138.286981 \nL 171.109098 138.774668 \nL 171.299755 139.172499 \nL 171.68822 139.465811 \nL 172.265104 139.641281 \nL 173.016667 139.687249 \nL 174.43003 139.493627 \nL 176.109744 138.970609 \nL 177.94071 138.125048 \nL 179.773546 136.998261 \nL 181.426846 135.674796 \nL 182.699961 134.285221 \nL 183.240634 133.403909 \nL 183.477891 132.621332 \nL 183.379013 131.989076 \nL 182.931366 131.550692 \nL 182.14582 131.336488 \nL 181.057412 131.359856 \nL 179.722854 131.616149 \nL 178.215117 132.0843 \nL 175.808458 133.108344 \nL 173.470477 134.39381 \nL 171.433907 135.80153 \nL 169.865427 137.212613 \nL 169.130996 138.107829 \nL 168.664372 138.93938 \nL 168.47159 139.686841 \nL 168.552101 140.331201 \nL 168.900499 140.854103 \nL 169.507612 141.237461 \nL 170.360924 141.463483 \nL 171.444314 141.515101 \nL 172.737165 141.376847 \nL 174.212926 141.036142 \nL 175.837281 140.485098 \nL 177.566137 139.722864 \nL 179.343779 138.758341 \nL 181.101658 137.61316 \nL 182.758495 136.324394 \nL 184.222389 134.946289 \nL 185.395637 133.550082 \nL 186.182641 132.22085 \nL 186.500599 131.050752 \nL 186.464297 130.55365 \nL 186.291638 130.12881 \nL 185.981151 129.784846 \nL 185.534153 129.528674 \nL 184.954838 129.365201 \nL 183.430235 129.324882 \nL 181.494691 129.658322 \nL 179.267987 130.326956 \nL 176.887113 131.26827 \nL 174.489656 132.408243 \nL 172.199474 133.673302 \nL 170.11734 134.998879 \nL 168.317096 136.333324 \nL 166.846588 137.637802 \nL 165.731662 138.883679 \nL 164.981535 140.048976 \nL 164.59421 141.115037 \nL 164.561124 142.063961 \nL 164.870606 142.876943 \nL 165.510085 143.533381 \nL 166.46705 144.010598 \nL 167.728901 144.284025 \nL 169.281765 144.327813 \nL 171.108325 144.115951 \nL 173.184738 143.624038 \nL 175.476709 142.831985 \nL 177.93487 141.727852 \nL 180.489934 140.31303 \nL 183.048342 138.608605 \nL 185.489708 136.662326 \nL 187.667838 134.554717 \nL 189.417465 132.401934 \nL 190.078064 131.35397 \nL 190.568473 130.352291 \nL 190.870311 129.418371 \nL 190.967979 128.573534 \nL 190.849594 127.83803 \nL 190.507813 127.230046 \nL 189.94054 126.764725 \nL 189.151388 126.453297 \nL 188.149873 126.302392 \nL 186.951268 126.31365 \nL 185.576126 126.483645 \nL 182.399797 127.262913 \nL 178.854863 128.530382 \nL 175.190138 130.141681 \nL 171.63253 131.951287 \nL 168.361884 133.837797 \nL 165.501013 135.715175 \nL 163.118626 137.531331 \nL 161.240001 139.259342 \nL 159.860312 140.886882 \nL 158.957161 142.407328 \nL 158.500601 143.813823 \nL 158.460266 145.096029 \nL 158.809869 146.238805 \nL 159.529576 147.221901 \nL 160.606754 148.020071 \nL 162.035488 148.603246 \nL 163.815046 148.936694 \nL 165.947353 148.981237 \nL 168.433327 148.693821 \nL 171.267823 148.028869 \nL 174.432885 146.941139 \nL 177.889001 145.390871 \nL 181.564432 143.352238 \nL 185.343324 140.825883 \nL 189.05454 137.855606 \nL 190.814364 136.234185 \nL 192.465065 134.547375 \nL 193.968483 132.820848 \nL 195.284025 131.085652 \nL 196.369875 129.37788 \nL 197.18463 127.737893 \nL 197.689311 126.208952 \nL 197.849683 124.835304 \nL 197.638716 123.659744 \nL 197.038997 122.72081 \nL 196.044804 122.049868 \nL 194.663559 121.668444 \nL 192.916399 121.586152 \nL 190.837704 121.799654 \nL 188.473517 122.292766 \nL 185.878973 123.037879 \nL 183.115045 123.998485 \nL 177.330545 126.395734 \nL 171.592528 129.142883 \nL 166.272922 131.957212 \nL 161.607405 134.660786 \nL 157.703138 137.176671 \nL 154.570303 139.497444 \nL 152.158583 141.649666 \nL 150.387874 143.667659 \nL 149.169935 145.579209 \nL 148.42171 147.400506 \nL 148.072469 149.136276 \nL 148.06684 150.782112 \nL 148.36542 152.327034 \nL 148.944082 153.755493 \nL 149.792756 155.048449 \nL 150.91407 156.183643 \nL 152.322077 157.135043 \nL 154.041079 157.871756 \nL 156.104444 158.356393 \nL 158.55314 158.543097 \nL 161.433563 158.375351 \nL 164.793989 157.783937 \nL 168.678662 156.685643 \nL 173.118194 154.983926 \nL 175.548316 153.873983 \nL 178.11454 152.573569 \nL 180.808978 151.07012 \nL 183.618698 149.352637 \nL 186.524558 147.412772 \nL 189.499945 145.246252 \nL 192.509484 142.854608 \nL 195.50779 140.247208 \nL 198.438461 137.443569 \nL 201.233484 134.475734 \nL 203.813335 131.390509 \nL 206.088119 128.251193 \nL 207.960044 125.138205 \nL 209.327606 122.1481 \nL 210.09155 119.39026 \nL 210.162581 116.980827 \nL 209.47032 115.033768 \nL 207.972506 113.649581 \nL 205.66304 112.903001 \nL 202.577198 112.831828 \nL 198.792453 113.429324 \nL 194.42407 114.642489 \nL 189.61561 116.37729 \nL 184.525848 118.510295 \nL 179.314347 120.904385 \nL 169.092857 125.954849 \nL 145.617843 138.053468 \nL 140.61022 140.777605 \nL 136.729399 143.114671 \nL 133.726596 145.228431 \nL 131.370244 147.228414 \nL 129.460336 149.175157 \nL 127.077877 152.044239 \nL 123.392526 156.656942 \nL 121.755963 158.397951 \nL 119.920231 160.048434 \nL 117.823902 161.582706 \nL 115.409154 162.968653 \nL 112.621154 164.164053 \nL 109.409461 165.111701 \nL 107.631128 165.469209 \nL 105.732217 165.733497 \nL 103.71014 165.890441 \nL 101.564113 165.923783 \nL 99.295706 165.81497 \nL 96.909514 165.543054 \nL 94.413932 165.084705 \nL 91.822061 164.414391 \nL 89.152681 163.50476 \nL 86.43131 162.32736 \nL 83.691225 160.853739 \nL 80.974379 159.057045 \nL 78.332072 156.914189 \nL 75.825127 154.408626 \nL 73.523417 151.533695 \nL 71.50443 148.296393 \nL 69.850661 144.721262 \nL 68.64566 140.853895 \nL 67.968779 136.763376 \nL 67.888834 132.542884 \nL 68.457274 128.307657 \nL 69.701689 124.189791 \nL 71.620749 120.329897 \nL 74.181593 116.866123 \nL 77.320482 113.922001 \nL 80.946914 111.59499 \nL 84.950755 109.947594 \nL 89.211318 109.002825 \nL 93.606927 108.74453 \nL 98.023545 109.122393 \nL 102.361376 110.06025 \nL 106.538899 111.466072 \nL 110.49439 113.241762 \nL 114.18534 115.291458 \nL 117.586471 117.527603 \nL 120.686959 119.874587 \nL 123.48743 122.270249 \nL 125.997101 124.665789 \nL 128.231252 127.024595 \nL 130.209143 129.320521 \nL 133.483513 133.66013 \nL 136.000143 137.615179 \nL 137.931913 141.178092 \nL 139.432077 144.371517 \nL 141.149867 148.544495 \nL 143.376607 154.134816 \nL 144.702812 156.810461 \nL 145.688931 158.342878 \nL 146.807482 159.680021 \nL 148.101183 160.819033 \nL 149.61456 161.749558 \nL 151.395817 162.452833 \nL 153.498237 162.900296 \nL 155.980965 163.051647 \nL 158.908857 162.852393 \nL 162.350801 162.231012 \nL 166.375537 161.096234 \nL 171.043448 159.335462 \nL 173.631789 158.179593 \nL 176.392078 156.816416 \nL 179.321574 155.227721 \nL 182.412497 153.395806 \nL 185.650585 151.304578 \nL 189.013415 148.941084 \nL 192.468545 146.297509 \nL 195.971527 143.373729 \nL 199.463984 140.180392 \nL 202.871934 136.74247 \nL 206.104728 133.103054 \nL 209.055067 129.32697 \nL 211.60065 125.503568 \nL 213.608051 121.74775 \nL 214.939395 118.198096 \nL 215.46212 115.010934 \nL 215.061535 112.349486 \nL 213.655249 110.368075 \nL 211.207366 109.192742 \nL 207.739704 108.901235 \nL 203.336901 109.506879 \nL 198.143017 110.95105 \nL 192.348973 113.107603 \nL 186.172683 115.799608 \nL 179.835813 118.824818 \nL 167.461155 125.1037 \nL 151.554098 133.154547 \nL 143.28967 137.088047 \nL 127.882702 144.273961 \nL 124.825207 145.994618 \nL 122.335016 147.621312 \nL 119.207586 149.972456 \nL 115.370877 152.918073 \nL 113.349042 154.248803 \nL 111.155611 155.43218 \nL 108.736784 156.419854 \nL 106.055699 157.155163 \nL 103.093892 157.571234 \nL 101.507938 157.635444 \nL 99.855422 157.589373 \nL 98.141493 157.421313 \nL 96.373694 157.118975 \nL 94.562301 156.669682 \nL 92.72066 156.060686 \nL 90.865506 155.279603 \nL 89.01724 154.314999 \nL 87.200119 153.157128 \nL 85.442303 151.798847 \nL 83.775703 150.236672 \nL 82.23559 148.471953 \nL 80.859867 146.512115 \nL 79.687986 144.371832 \nL 78.759496 142.074041 \nL 78.112206 139.650592 \nL 77.780079 137.142374 \nL 77.790949 134.598763 \nL 78.164293 132.076219 \nL 78.909257 129.636047 \nL 80.023232 127.341376 \nL 81.491178 125.2536 \nL 83.285844 123.428564 \nL 85.368974 121.91301 \nL 87.693357 120.741642 \nL 90.205528 119.935224 \nL 92.848832 119.499901 \nL 95.56649 119.427806 \nL 98.304368 119.698745 \nL 101.013212 120.282738 \nL 103.650234 121.142936 \nL 106.179994 122.238641 \nL 108.574663 123.528029 \nL 110.813777 124.970417 \nL 112.883617 126.527938 \nL 114.77637 128.166642 \nL 116.489173 129.857077 \nL 118.023147 131.574437 \nL 119.382485 133.298393 \nL 120.573613 135.012747 \nL 121.604485 136.704945 \nL 123.221349 139.987799 \nL 124.306783 143.100138 \nL 124.930653 146.022939 \nL 125.152467 148.753938 \nL 125.018249 151.299889 \nL 124.559552 153.671319 \nL 123.793696 155.879015 \nL 122.724625 157.931558 \nL 121.344034 159.833337 \nL 119.632606 161.582624 \nL 117.561419 163.169359 \nL 115.093749 164.572266 \nL 112.187697 165.755023 \nL 108.800362 166.661212 \nL 106.91412 166.985934 \nL 104.894594 167.207985 \nL 102.739803 167.311685 \nL 100.449773 167.278788 \nL 98.027223 167.08832 \nL 95.478381 166.716482 \nL 92.813932 166.136705 \nL 90.050102 165.319901 \nL 87.209837 164.235004 \nL 84.324038 162.849908 \nL 81.432746 161.132926 \nL 78.586151 159.054844 \nL 75.845228 156.591712 \nL 73.281709 153.728359 \nL 70.97716 150.462542 \nL 69.020785 146.809519 \nL 67.505731 142.806555 \nL 66.523771 138.516626 \nL 66.158496 134.030449 \nL 66.477468 129.465815 \nL 67.524281 124.963332 \nL 69.311678 120.678287 \nL 71.817103 116.768871 \nL 74.981833 113.382129 \nL 78.714292 110.639743 \nL 82.897313 108.626096 \nL 87.398257 107.380958 \nL 92.080325 106.897995 \nL 96.813179 107.129185 \nL 101.481408 107.993878 \nL 105.989968 109.39041 \nL 110.266475 111.207978 \nL 114.260863 113.337003 \nL 117.943179 115.676841 \nL 121.300339 118.140485 \nL 124.332573 120.656631 \nL 127.050027 123.169647 \nL 129.46978 125.638203 \nL 131.613404 128.033206 \nL 135.169992 132.533557 \nL 137.920573 136.59843 \nL 140.05744 140.224428 \nL 142.477186 144.906331 \nL 145.48652 151.014818 \nL 146.611016 152.960969 \nL 147.797981 154.655276 \nL 149.105946 156.107387 \nL 150.588775 157.317902 \nL 152.298687 158.277954 \nL 154.288543 158.968456 \nL 156.61327 159.358955 \nL 159.330212 159.406123 \nL 162.497975 159.052005 \nL 166.173051 158.222478 \nL 170.403126 156.826729 \nL 172.736055 155.884012 \nL 175.215466 154.759395 \nL 177.838553 153.438658 \nL 180.598451 151.908093 \nL 183.483154 150.155351 \nL 186.474272 148.170581 \nL 189.545677 145.947884 \nL 192.662065 143.487141 \nL 195.777573 140.796216 \nL 198.83456 137.893437 \nL 201.762825 134.810263 \nL 204.479513 131.593848 \nL 206.890097 128.309118 \nL 208.890804 125.039808 \nL 210.372869 121.887706 \nL 211.228827 118.969468 \nL 211.360814 116.410299 \nL 210.690372 114.334366 \nL 209.168726 112.852389 \nL 206.785993 112.047867 \nL 203.577329 111.964248 \nL 199.624265 112.596002 \nL 195.050091 113.88622 \nL 190.009459 115.732239 \nL 184.673772 117.99861 \nL 179.215065 120.534843 \nL 168.535735 125.848326 \nL 139.07999 140.94867 \nL 135.095921 143.240819 \nL 132.006007 145.301181 \nL 129.566075 147.245724 \nL 127.567185 149.136847 \nL 125.027704 151.920097 \nL 121.832298 155.502059 \nL 120.09986 157.196283 \nL 118.177002 158.792474 \nL 116.00022 160.259699 \nL 113.512617 161.55997 \nL 110.663545 162.644687 \nL 107.410558 163.450058 \nL 105.622717 163.722605 \nL 103.724364 163.891821 \nL 101.715339 163.943098 \nL 99.597681 163.85996 \nL 97.376174 163.623995 \nL 95.059005 163.214921 \nL 92.658493 162.610759 \nL 90.191895 161.788226 \nL 87.682229 160.723358 \nL 85.159081 159.392463 \nL 82.659312 157.773465 \nL 80.227523 155.847673 \nL 77.916154 153.602031 \nL 75.785049 151.031768 \nL 73.900267 148.143359 \nL 72.332001 144.957561 \nL 71.151481 141.512148 \nL 70.426863 137.863855 \nL 70.218285 134.088961 \nL 70.572489 130.281934 \nL 71.517608 126.551761 \nL 73.058876 123.015821 \nL 75.176051 119.791739 \nL 77.823198 116.988015 \nL 80.931081 114.694807 \nL 84.41202 112.976243 \nL 88.166549 111.865588 \nL 92.090898 111.363975 \nL 96.084219 111.442817 \nL 100.05464 112.049178 \nL 103.923533 113.113008 \nL 107.627843 114.554918 \nL 111.120619 116.293352 \nL 114.37016 118.250383 \nL 117.358235 120.355723 \nL 120.077855 122.549022 \nL 122.530928 124.780675 \nL 124.726055 127.011551 \nL 126.676588 129.212021 \nL 128.399008 131.360626 \nL 131.233548 135.44871 \nL 133.381582 139.215086 \nL 134.988518 142.649961 \nL 136.182665 145.769918 \nL 137.071474 148.60302 \nL 138.016898 152.382857 \nL 139.05119 157.662839 \nL 139.915244 161.951127 \nL 140.508865 164.13501 \nL 141.236653 166.055722 \nL 142.163762 167.720166 \nL 142.929736 168.684378 \nL 143.845327 169.525464 \nL 144.942967 170.233204 \nL 146.261409 170.792407 \nL 147.847026 171.181514 \nL 149.755151 171.370634 \nL 152.051322 171.318915 \nL 154.812185 170.971076 \nL 158.12554 170.252966 \nL 162.088639 169.066255 \nL 166.803161 167.282683 \nL 172.364299 164.739327 \nL 175.485491 163.122042 \nL 178.839941 161.238127 \nL 182.425913 159.058997 \nL 186.234235 156.556281 \nL 190.24583 153.703619 \nL 194.428772 150.479295 \nL 198.734944 146.869814 \nL 203.096389 142.874633 \nL 207.4217 138.512049 \nL 211.592868 133.826128 \nL 215.463418 128.894146 \nL 218.858828 123.83357 \nL 221.580605 118.806879 \nL 223.415412 114.02185 \nL 224.150465 109.724386 \nL 223.595478 106.181204 \nL 221.609733 103.650965 \nL 218.130495 102.345738 \nL 213.196362 102.389093 \nL 206.957862 103.781684 \nL 199.669099 106.386803 \nL 191.659022 109.944585 \nL 183.287878 114.114392 \nL 152.150001 130.434192 \nL 145.824828 133.426913 \nL 140.190468 135.876075 \nL 135.218545 137.829098 \nL 130.85909 139.356604 \nL 127.051752 140.536103 \nL 120.842064 142.137735 \nL 114.183146 143.451914 \nL 104.476007 145.012284 \nL 102.100914 145.254929 \nL 99.966808 145.239888 \nL 98.633975 145.051552 \nL 97.371063 144.702103 \nL 96.193396 144.183455 \nL 95.127644 143.496496 \nL 94.208217 142.652695 \nL 93.473297 141.675324 \nL 92.960394 140.599882 \nL 92.701615 139.473326 \nL 92.718985 138.35179 \nL 93.020509 137.296699 \nL 93.597529 136.369566 \nL 94.424033 135.626148 \nL 95.458088 135.110945 \nL 96.645238 134.853013 \nL 97.92326 134.863841 \nL 99.227456 135.137547 \nL 100.495581 135.653115 \nL 101.671747 136.378004 \nL 102.708954 137.272242 \nL 103.570216 138.292331 \nL 104.228521 139.394369 \nL 104.665996 140.536228 \nL 104.872637 141.678733 \nL 104.844964 142.786055 \nL 104.584869 143.825519 \nL 104.098796 144.767059 \nL 103.39737 145.582569 \nL 102.495503 146.245273 \nL 101.412937 146.729379 \nL 100.175175 147.010066 \nL 98.814644 147.064041 \nL 97.371917 146.870771 \nL 95.896665 146.414512 \nL 94.448021 145.687186 \nL 93.093789 144.691931 \nL 91.908153 143.447017 \nL 90.967416 141.989382 \nL 90.343783 140.376842 \nL 90.097575 138.687787 \nL 90.268971 137.017369 \nL 90.516496 136.221668 \nL 90.870812 135.469893 \nL 91.328544 134.774732 \nL 91.884294 134.148014 \nL 92.530762 133.600325 \nL 93.258927 133.140702 \nL 94.058291 132.776355 \nL 94.917189 132.512499 \nL 96.763101 132.29663 \nL 98.692827 132.493366 \nL 100.605146 133.073636 \nL 102.409815 133.986341 \nL 104.032827 135.167209 \nL 105.418409 136.547153 \nL 106.528369 138.058755 \nL 107.339703 139.640369 \nL 107.8414 141.237999 \nL 108.031171 142.805404 \nL 107.912633 144.303099 \nL 107.493224 145.696713 \nL 106.782963 146.955097 \nL 105.794099 148.048502 \nL 104.541632 148.946951 \nL 103.044644 149.619028 \nL 101.328389 150.031208 \nL 99.427015 150.148047 \nL 97.386688 149.933472 \nL 95.268763 149.353575 \nL 93.152328 148.381282 \nL 91.135203 147.003051 \nL 90.199229 146.163241 \nL 89.332218 145.227348 \nL 88.550239 144.201382 \nL 87.869437 143.093822 \nL 87.30558 141.915781 \nL 86.873552 140.681084 \nL 86.586767 139.406208 \nL 86.456598 138.110088 \nL 86.491792 136.813745 \nL 86.697941 135.539766 \nL 87.077069 134.311613 \nL 87.627328 133.15283 \nL 88.342886 132.08615 \nL 89.213991 131.1326 \nL 90.227244 130.310655 \nL 91.366038 129.635494 \nL 92.611168 129.118466 \nL 93.941538 128.766722 \nL 95.334938 128.58313 \nL 96.768819 128.566405 \nL 98.221023 128.711454 \nL 99.670424 129.009892 \nL 101.097448 129.450651 \nL 102.48447 130.020679 \nL 103.816049 130.705602 \nL 105.079068 131.490379 \nL 107.358439 133.299193 \nL 109.261908 135.332056 \nL 110.758372 137.488486 \nL 111.838736 139.68658 \nL 112.5083 141.862714 \nL 112.78021 143.968802 \nL 112.670478 145.96849 \nL 112.194648 147.833153 \nL 111.365963 149.538147 \nL 110.194892 151.059446 \nL 108.689837 152.370706 \nL 106.858979 153.44066 \nL 104.713268 154.23099 \nL 102.270636 154.694727 \nL 99.561501 154.775664 \nL 98.121563 154.652693 \nL 96.635542 154.409383 \nL 95.113917 154.037007 \nL 93.569329 153.527004 \nL 92.016791 152.871335 \nL 90.473853 152.062925 \nL 88.960677 151.096217 \nL 87.500019 149.967809 \nL 86.11706 148.677175 \nL 84.83906 147.227425 \nL 83.694817 145.626083 \nL 82.713897 143.885805 \nL 81.925623 142.024946 \nL 81.357873 140.067904 \nL 81.035686 138.045128 \nL 80.979823 135.992715 \nL 81.205317 133.9515 \nL 81.720208 131.965668 \nL 82.524571 130.080896 \nL 83.60998 128.342169 \nL 84.959501 126.791416 \nL 86.548242 125.465221 \nL 88.344457 124.39281 \nL 90.311099 123.594594 \nL 92.407662 123.081344 \nL 94.592163 122.854145 \nL 96.823041 122.905009 \nL 99.06085 123.218111 \nL 101.269621 123.771411 \nL 103.417809 124.538504 \nL 105.478854 125.490439 \nL 107.431371 126.597405 \nL 109.259018 127.830131 \nL 110.95015 129.160976 \nL 112.497305 130.564681 \nL 113.896617 132.018796 \nL 115.147187 133.503871 \nL 116.250477 135.00344 \nL 117.209739 136.503862 \nL 118.715141 139.465245 \nL 119.707478 142.324818 \nL 120.233718 145.045838 \nL 120.336498 147.609161 \nL 120.049935 150.006096 \nL 119.397626 152.232937 \nL 118.392135 154.28679 \nL 117.035506 156.16223 \nL 115.320528 157.848359 \nL 113.232706 159.325884 \nL 110.753106 160.563934 \nL 107.86246 161.516482 \nL 106.2583 161.866193 \nL 104.547135 162.118385 \nL 102.729553 162.261269 \nL 100.807757 162.281428 \nL 98.786044 162.163754 \nL 96.671346 161.891501 \nL 94.473835 161.446408 \nL 92.20759 160.808974 \nL 89.891293 159.958921 \nL 87.548908 158.875887 \nL 85.210317 157.540421 \nL 82.911789 155.93528 \nL 80.696216 154.047123 \nL 78.612964 151.868518 \nL 76.717215 149.400263 \nL 75.068641 146.653853 \nL 73.729312 143.653843 \nL 72.760784 140.43984 \nL 72.220434 137.067649 \nL 72.15723 133.60917 \nL 72.60732 130.150633 \nL 73.589949 126.788936 \nL 75.104303 123.626161 \nL 77.12786 120.76261 \nL 79.616695 118.289188 \nL 82.507839 116.28012 \nL 85.723522 114.787133 \nL 89.176709 113.835971 \nL 92.777213 113.425743 \nL 96.437522 113.53112 \nL 100.077662 114.106749 \nL 103.628697 115.093063 \nL 107.034667 116.422542 \nL 110.253134 118.02546 \nL 113.254599 119.834627 \nL 116.021154 121.788746 \nL 118.544725 123.834446 \nL 120.825167 125.927125 \nL 122.868439 128.030899 \nL 124.68494 130.117946 \nL 126.288102 132.167528 \nL 127.69323 134.16486 \nL 129.974628 137.966866 \nL 131.658993 141.485242 \nL 132.86643 144.717632 \nL 133.70015 147.680671 \nL 134.244218 150.399396 \nL 134.564104 152.90125 \nL 134.726418 156.305163 \nL 134.598145 159.360567 \nL 134.232068 162.133451 \nL 133.639955 164.677038 \nL 132.800984 167.034385 \nL 132.081103 168.520138 \nL 131.208006 169.947635 \nL 130.153458 171.324202 \nL 128.882167 172.655382 \nL 127.350761 173.944179 \nL 125.506595 175.189707 \nL 123.286475 176.385008 \nL 120.615572 177.513581 \nL 117.40693 178.544043 \nL 113.562417 179.422069 \nL 108.97659 180.058552 \nL 106.372849 180.244853 \nL 103.546 180.31286 \nL 100.486509 180.233279 \nL 97.188145 179.970549 \nL 93.649566 179.481977 \nL 89.876348 178.716995 \nL 85.88354 177.616682 \nL 81.698769 176.113804 \nL 77.365851 174.133722 \nL 72.948818 171.596584 \nL 68.535997 168.421448 \nL 64.243617 164.532852 \nL 60.218049 159.870443 \nL 56.63541 154.401858 \nL 53.697026 148.138408 \nL 51.619189 141.152012 \nL 50.61618 133.590272 \nL 50.876763 125.685125 \nL 52.536522 117.749611 \nL 55.65083 110.158179 \nL 60.175167 103.309309 \nL 65.959562 97.57466 \nL 72.761127 93.245022 \nL 80.273555 90.486747 \nL 88.166924 89.320832 \nL 96.127983 89.630075 \nL 103.891604 91.190809 \nL 111.258188 93.718394 \nL 118.096811 96.913628 \nL 124.337788 100.499857 \nL 129.959678 104.245864 \nL 134.975191 107.974891 \nL 139.418759 111.563188 \nL 146.781634 118.039825 \nL 152.460874 123.417499 \nL 163.067023 133.719129 \nL 165.379773 135.690128 \nL 167.398492 137.131348 \nL 169.243398 138.124877 \nL 170.998377 138.732012 \nL 172.716859 138.998897 \nL 174.42638 138.96182 \nL 176.131936 138.652057 \nL 177.818506 138.100252 \nL 179.453165 137.340414 \nL 180.987405 136.413285 \nL 182.360172 135.36876 \nL 183.502295 134.266826 \nL 184.342612 133.176488 \nL 184.815772 132.172186 \nL 184.871143 131.32775 \nL 184.732527 130.986475 \nL 184.481498 130.708563 \nL 184.119429 130.499526 \nL 183.078226 130.302615 \nL 181.661334 130.40848 \nL 179.94971 130.804029 \nL 178.044059 131.454101 \nL 176.053558 132.308618 \nL 173.138254 133.850138 \nL 170.570836 135.54353 \nL 169.159687 136.683131 \nL 168.035939 137.791693 \nL 167.221418 138.84284 \nL 166.725438 139.814553 \nL 166.548426 140.687116 \nL 166.685021 141.44151 \nL 167.126309 142.058391 \nL 167.861141 142.517608 \nL 168.876492 142.798221 \nL 170.156916 142.87897 \nL 171.683176 142.739215 \nL 173.430121 142.360455 \nL 175.36393 141.728468 \nL 177.438926 140.836316 \nL 179.594344 139.688107 \nL 181.751632 138.303431 \nL 183.813192 136.721965 \nL 185.663718 135.007223 \nL 187.175418 133.247967 \nL 188.218109 131.555438 \nL 188.525859 130.773125 \nL 188.674256 130.054781 \nL 188.653623 129.415788 \nL 188.457398 128.870293 \nL 188.08264 128.430552 \nL 187.530373 128.106354 \nL 186.805795 127.904512 \nL 185.918269 127.828535 \nL 184.881117 127.878462 \nL 182.428297 128.339423 \nL 179.612905 129.225554 \nL 176.622213 130.44202 \nL 173.639336 131.882023 \nL 170.822372 133.445787 \nL 168.292319 135.052491 \nL 166.130205 136.643908 \nL 164.381113 138.181714 \nL 163.062004 139.641653 \nL 162.170557 141.007298 \nL 161.693215 142.264951 \nL 161.61155 143.400245 \nL 161.906739 144.396201 \nL 162.562232 145.232358 \nL 163.564891 145.884539 \nL 164.904834 146.324959 \nL 166.574131 146.52262 \nL 168.564413 146.444038 \nL 170.863365 146.054503 \nL 173.450012 145.320326 \nL 176.288745 144.212457 \nL 179.322212 142.71209 \nL 182.463557 140.818608 \nL 185.589196 138.559882 \nL 188.534276 136.003919 \nL 191.094063 133.269333 \nL 192.157109 131.887319 \nL 193.035266 130.529985 \nL 193.698966 129.226509 \nL 194.120727 128.007671 \nL 194.27662 126.90461 \nL 194.14781 125.947305 \nL 193.722015 125.162909 \nL 192.994767 124.574001 \nL 191.970299 124.197033 \nL 190.661942 124.041054 \nL 189.091933 124.106991 \nL 187.290588 124.387568 \nL 185.294911 124.867905 \nL 183.14674 125.526731 \nL 178.571603 127.273534 \nL 173.915738 129.400661 \nL 169.480795 131.696876 \nL 165.48555 134.004936 \nL 162.059189 136.23152 \nL 159.254119 138.336117 \nL 157.067488 140.311377 \nL 155.463041 142.16471 \nL 154.388993 143.905569 \nL 153.790731 145.538663 \nL 153.618853 147.061471 \nL 153.833619 148.464152 \nL 154.406939 149.730374 \nL 155.322744 150.838168 \nL 156.576363 151.760382 \nL 158.173248 152.464621 \nL 160.127142 152.912754 \nL 162.457601 153.060141 \nL 165.18656 152.854934 \nL 168.33344 152.237923 \nL 171.90811 151.143697 \nL 175.900857 149.504286 \nL 180.268612 147.256939 \nL 182.566216 145.890392 \nL 184.917096 144.35813 \nL 187.298018 142.661364 \nL 189.679904 140.805781 \nL 192.027307 138.802704 \nL 194.298086 136.670291 \nL 196.443398 134.434678 \nL 198.40817 132.130891 \nL 200.132156 129.803376 \nL 201.55175 127.505867 \nL 202.602608 125.300341 \nL 203.22311 123.254872 \nL 203.358567 121.440209 \nL 202.965849 119.925166 \nL 202.018017 118.77108 \nL 200.508336 118.025957 \nL 198.453004 117.71909 \nL 195.891947 117.857165 \nL 192.887322 118.422681 \nL 189.519705 119.375205 \nL 185.882354 120.655512 \nL 182.07435 122.191899 \nL 174.330581 125.728372 \nL 166.95696 129.43254 \nL 160.398843 132.932257 \nL 154.86522 136.067119 \nL 150.382106 138.832758 \nL 146.863498 141.302084 \nL 144.17054 143.564937 \nL 142.150783 145.696373 \nL 140.660217 147.74672 \nL 139.57353 149.743412 \nL 138.787258 151.697122 \nL 138.219076 153.608223 \nL 137.640551 156.384005 \nL 137.157289 159.882787 \nL 136.14599 168.134378 \nL 135.597641 170.664862 \nL 135.039295 172.428952 \nL 134.302444 174.098635 \nL 133.32395 175.693918 \nL 132.019233 177.235487 \nL 130.91335 178.243092 \nL 129.569426 179.240171 \nL 127.934843 180.229241 \nL 125.945679 181.208966 \nL 123.524789 182.171326 \nL 120.580053 183.097098 \nL 117.003365 183.948758 \nL 112.671475 184.659498 \nL 107.450777 185.116696 \nL 104.465376 185.196764 \nL 101.209846 185.137904 \nL 97.672452 184.901032 \nL 93.846149 184.438197 \nL 89.730955 183.691294 \nL 85.33702 182.590981 \nL 80.688498 181.056076 \nL 75.828285 178.993845 \nL 70.823526 176.301857 \nL 65.771612 172.872175 \nL 60.805977 168.598926 \nL 56.100611 163.390236 \nL 51.871427 157.185303 \nL 48.372203 149.976433 \nL 45.882397 141.834271 \nL 44.684676 132.931955 \nL 45.031856 123.561054 \nL 47.106328 114.130178 \nL 50.979475 105.137995 \nL 56.582194 97.117648 \nL 63.697958 90.559402 \nL 71.984861 85.829022 \nL 81.023766 83.105491 \nL 90.379933 82.357623 \nL 99.660937 83.366183 \nL 108.556584 85.781688 \nL 116.85483 89.19729 \nL 124.436705 93.215369 \nL 131.258348 97.493862 \nL 137.328816 101.76863 \nL 142.689763 105.855927 \nL 151.523795 113.069794 \nL 168.839159 127.581556 \nL 173.271198 130.925121 \nL 176.916598 133.593371 \nL 177.066784 133.966003 \nL 176.921257 134.298396 \nL 176.293381 134.887091 \nL 175.136234 135.962483 \nL 174.764767 136.582176 \nL 174.795118 136.949795 \nL 175.022365 137.114246 \nL 175.575325 137.153685 \nL 176.349223 136.972367 \nL 177.459685 136.457888 \nL 178.470499 135.725148 \nL 179.010018 135.105321 \nL 179.176318 134.581506 \nL 179.016698 134.318102 \nL 178.616656 134.203741 \nL 178.010036 134.254402 \nL 176.984218 134.570113 \nL 175.880101 135.115067 \nL 174.682685 135.974036 \nL 174.066004 136.670296 \nL 173.872519 137.128453 \nL 173.932533 137.488031 \nL 174.245688 137.716228 \nL 174.793108 137.787807 \nL 175.821514 137.614194 \nL 177.064883 137.133242 \nL 178.339712 136.39249 \nL 179.428147 135.496636 \nL 179.988382 134.815478 \nL 180.240751 134.211089 \nL 180.211956 133.887972 \nL 180.018462 133.651056 \nL 179.664289 133.514516 \nL 178.863222 133.514574 \nL 177.812329 133.759451 \nL 176.216399 134.414036 \nL 174.667403 135.325187 \nL 173.430492 136.338247 \nL 172.826302 137.0732 \nL 172.555631 137.722602 \nL 172.572003 138.082836 \nL 172.746753 138.369319 \nL 173.075631 138.57033 \nL 173.838209 138.690111 \nL 174.881086 138.570398 \nL 176.135828 138.200318 \nL 177.510775 137.588422 \nL 178.891101 136.768325 \nL 180.142668 135.802952 \nL 181.122082 134.784674 \nL 181.694341 133.828427 \nL 181.796774 133.285992 \nL 181.654085 132.859057 \nL 181.263019 132.574812 \nL 180.635784 132.45149 \nL 179.799885 132.496587 \nL 178.247138 132.869212 \nL 176.495083 133.55736 \nL 174.736693 134.474948 \nL 173.150597 135.523337 \nL 171.879451 136.607474 \nL 171.021283 137.643819 \nL 170.707441 138.272545 \nL 170.609669 138.829584 \nL 170.729262 139.297831 \nL 171.062475 139.661387 \nL 171.601105 139.905499 \nL 172.332695 140.016786 \nL 173.240342 139.98372 \nL 174.882504 139.645011 \nL 176.77111 138.949652 \nL 178.771497 137.914729 \nL 180.710059 136.598943 \nL 182.379173 135.111772 \nL 183.231855 134.10255 \nL 183.802497 133.145022 \nL 184.038344 132.299524 \nL 183.903556 131.623506 \nL 183.692115 131.364584 \nL 182.985473 131.028024 \nL 181.92652 130.95023 \nL 180.56928 131.133456 \nL 178.98898 131.560022 \nL 176.395423 132.579336 \nL 173.807788 133.917581 \nL 171.495831 135.417746 \nL 169.656865 136.945251 \nL 168.755235 137.926202 \nL 168.13625 138.847938 \nL 167.807941 139.689133 \nL 167.770803 140.430222 \nL 168.020043 141.052338 \nL 168.547135 141.536651 \nL 169.340602 141.864179 \nL 170.386021 142.016037 \nL 171.665283 141.974101 \nL 173.155181 141.722167 \nL 174.825444 141.247635 \nL 176.636384 140.543794 \nL 178.536456 139.612699 \nL 180.460158 138.468533 \nL 182.326941 137.14114 \nL 184.041917 135.678992 \nL 185.499318 134.150678 \nL 186.589459 132.643545 \nL 187.209425 131.258387 \nL 187.316106 130.644376 \nL 187.276695 130.099566 \nL 187.086437 129.635319 \nL 186.743543 129.26143 \nL 186.249431 128.985689 \nL 185.608855 128.813537 \nL 184.829885 128.747825 \nL 182.904342 128.933686 \nL 180.593162 129.514017 \nL 178.044747 130.426275 \nL 175.415852 131.588616 \nL 172.852974 132.915293 \nL 170.478779 134.328906 \nL 168.38532 135.767122 \nL 166.633572 137.183865 \nL 165.257396 138.546687 \nL 164.269742 139.832446 \nL 163.669296 141.022984 \nL 163.446346 142.101667 \nL 163.587357 143.051074 \nL 164.078054 143.851697 \nL 164.905091 144.481383 \nL 166.056444 144.915298 \nL 167.52067 145.126263 \nL 169.285092 145.085533 \nL 171.332982 144.764088 \nL 173.639707 144.134746 \nL 176.167918 143.175406 \nL 178.861979 141.873744 \nL 181.642122 140.233604 \nL 184.399353 138.282873 \nL 186.992753 136.082 \nL 189.251555 133.731113 \nL 190.984739 131.372489 \nL 191.593507 130.244964 \nL 192.000216 129.184283 \nL 192.185418 128.21527 \nL 192.133541 127.361963 \nL 191.833978 126.64641 \nL 191.28201 126.087444 \nL 190.479504 125.699523 \nL 189.435275 125.491813 \nL 188.165053 125.467532 \nL 186.691007 125.623785 \nL 185.040866 125.951789 \nL 181.343426 127.063102 \nL 177.354121 128.648421 \nL 173.351152 130.532173 \nL 169.569989 132.555091 \nL 166.181668 134.597717 \nL 163.289572 136.585522 \nL 160.939158 138.480866 \nL 159.133594 140.26966 \nL 157.849805 141.948811 \nL 157.051902 143.517222 \nL 156.70104 144.970683 \nL 156.761873 146.29965 \nL 157.206251 147.488727 \nL 158.014877 148.516879 \nL 159.177513 149.35776 \nL 160.692113 149.979885 \nL 162.563087 150.346572 \nL 164.798648 150.415862 \nL 167.40707 150.140655 \nL 170.391478 149.469651 \nL 173.742705 148.349757 \nL 177.429756 146.731015 \nL 181.387648 144.575314 \nL 185.503073 141.87011 \nL 187.567575 140.319184 \nL 189.599719 138.647825 \nL 191.565805 136.871027 \nL 193.427345 135.009598 \nL 195.14147 133.090731 \nL 196.661724 131.148279 \nL 197.939349 129.222608 \nL 198.925102 127.359889 \nL 199.571604 125.610679 \nL 199.836144 124.027726 \nL 199.683775 122.663045 \nL 199.090448 121.564401 \nL 198.045835 120.771512 \nL 196.555436 120.312434 \nL 194.641597 120.20064 \nL 192.343157 120.433343 \nL 189.713618 120.991436 \nL 186.817984 121.841177 \nL 183.728589 122.937446 \nL 180.520467 124.228085 \nL 174.035138 127.1768 \nL 167.86251 130.297897 \nL 162.345097 133.321698 \nL 157.657767 136.117755 \nL 153.8407 138.662114 \nL 150.846249 140.988526 \nL 148.580929 143.148494 \nL 146.935573 145.187988 \nL 145.803978 147.138339 \nL 145.092819 149.01557 \nL 144.725861 150.823502 \nL 144.644792 152.557633 \nL 144.808275 154.20845 \nL 145.190265 155.763634 \nL 145.778194 157.209238 \nL 146.57135 158.529984 \nL 147.579631 159.708878 \nL 148.822673 160.726319 \nL 150.329325 161.558757 \nL 152.137358 162.176955 \nL 154.293199 162.54384 \nL 156.851391 162.611938 \nL 159.873323 162.320434 \nL 163.424454 161.592086 \nL 167.568906 160.33056 \nL 172.35974 158.419404 \nL 175.007245 157.178922 \nL 177.822519 155.725063 \nL 180.800192 154.040278 \nL 183.929261 152.108089 \nL 187.191564 149.914363 \nL 190.560053 147.449034 \nL 193.996941 144.708303 \nL 197.451792 141.697368 \nL 200.859776 138.433654 \nL 204.140344 134.950353 \nL 207.196706 131.30004 \nL 209.916607 127.557794 \nL 212.174985 123.823085 \nL 213.839031 120.219463 \nL 214.776121 116.890869 \nL 214.864612 113.993631 \nL 214.006953 111.683647 \nL 212.143672 110.099364 \nL 209.265916 109.342511 \nL 205.423696 109.460305 \nL 200.727067 110.433456 \nL 195.338674 112.174183 \nL 189.458148 114.536066 \nL 183.301092 117.334424 \nL 170.97052 123.466893 \nL 154.623418 131.804467 \nL 145.952916 136.024777 \nL 129.609547 143.76089 \nL 126.385873 145.566762 \nL 123.793266 147.259014 \nL 120.608854 149.70052 \nL 115.863637 153.51972 \nL 113.837835 154.887615 \nL 111.623433 156.10683 \nL 109.167091 157.129284 \nL 106.431131 157.898001 \nL 103.395343 158.344788 \nL 101.764538 158.422539 \nL 100.061552 158.388132 \nL 98.291282 158.229206 \nL 96.461101 157.932643 \nL 94.581215 157.484786 \nL 92.665062 156.871737 \nL 90.729683 156.079806 \nL 88.796062 155.096108 \nL 86.889367 153.909359 \nL 85.039065 152.510845 \nL 83.278825 150.895576 \nL 81.646143 149.063599 \nL 80.181616 147.021385 \nL 78.927819 144.783197 \nL 77.927752 142.37228 \nL 77.222841 139.821705 \nL 76.850601 137.174619 \nL 76.842098 134.483739 \nL 77.219406 131.809902 \nL 77.993344 129.219629 \nL 79.161815 126.781765 \nL 80.708976 124.563477 \nL 82.60547 122.625945 \nL 84.809731 121.020276 \nL 87.270315 119.784193 \nL 89.928959 118.939838 \nL 92.724046 118.493064 \nL 95.594058 118.434178 \nL 98.48067 118.739922 \nL 101.331201 119.376422 \nL 104.10032 120.302541 \nL 106.750928 121.473297 \nL 109.254365 122.842906 \nL 111.590029 124.367265 \nL 113.744621 126.005739 \nL 115.711157 127.722292 \nL 117.487876 129.486014 \nL 119.077164 131.271187 \nL 120.484544 133.057027 \nL 121.717786 134.827234 \nL 122.786138 136.569399 \nL 124.468865 139.935963 \nL 125.615108 143.11359 \nL 126.301866 146.087497 \nL 126.594391 148.859574 \nL 126.543327 151.440428 \nL 126.184019 153.844204 \nL 125.536986 156.085282 \nL 124.60894 158.176048 \nL 123.393942 160.125286 \nL 121.874541 161.936661 \nL 120.022857 163.607008 \nL 117.801785 165.124064 \nL 115.166622 166.463299 \nL 112.067671 167.583548 \nL 110.32841 168.042721 \nL 108.454659 168.421109 \nL 106.441269 168.705994 \nL 104.284238 168.882238 \nL 101.981244 168.931993 \nL 99.532301 168.834443 \nL 96.940562 168.56559 \nL 94.21329 168.098148 \nL 91.362986 167.401611 \nL 88.408675 166.442561 \nL 85.377314 165.18536 \nL 82.305258 163.593338 \nL 79.239634 161.630615 \nL 76.239488 159.264714 \nL 73.376391 156.470079 \nL 70.734202 153.232457 \nL 68.407612 149.554053 \nL 66.49905 145.459061 \nL 65.113682 140.9989 \nL 64.352444 136.256141 \nL 64.303385 131.345938 \nL 65.032122 126.413707 \nL 66.572705 121.628114 \nL 68.920501 117.169258 \nL 72.0288 113.212969 \nL 75.810266 109.9134 \nL 80.143543 107.386944 \nL 84.884103 105.700556 \nL 89.877484 104.86684 \nL 94.972595 104.846671 \nL 100.032927 105.558312 \nL 104.944274 106.890746 \nL 109.618501 108.718277 \nL 113.993829 110.913812 \nL 118.032556 113.359098 \nL 121.717282 115.951284 \nL 125.046634 118.605976 \nL 128.031121 121.257541 \nL 130.689505 123.857572 \nL 133.045845 126.37238 \nL 136.961959 131.068281 \nL 140.004673 135.266572 \nL 142.38941 138.968071 \nL 145.9172 145.034028 \nL 148.042189 148.588577 \nL 149.416154 150.552241 \nL 150.853836 152.217589 \nL 152.425305 153.595158 \nL 154.19292 154.684322 \nL 156.214474 155.472956 \nL 158.545197 155.936877 \nL 161.238385 156.039139 \nL 164.344242 155.729323 \nL 167.906337 154.943359 \nL 171.954769 153.604762 \nL 174.16441 152.701867 \nL 176.494845 151.628829 \nL 178.940068 150.375334 \nL 181.490028 148.932191 \nL 184.129734 147.292172 \nL 186.838283 145.451054 \nL 189.587846 143.408928 \nL 192.342689 141.171712 \nL 195.058323 138.752881 \nL 197.680932 136.1753 \nL 200.147254 133.472998 \nL 202.385164 130.692673 \nL 204.31516 127.894549 \nL 205.853026 125.152217 \nL 206.913808 122.550997 \nL 207.417155 120.184403 \nL 207.293769 118.148534 \nL 206.49251 116.534487 \nL 204.987262 115.419402 \nL 202.782503 114.857325 \nL 199.916362 114.871462 \nL 196.460204 115.449565 \nL 192.514347 116.543826 \nL 188.200208 118.075768 \nL 183.650097 119.945452 \nL 178.996281 122.04329 \nL 169.849584 126.507219 \nL 157.77592 132.756074 \nL 148.536429 137.760869 \nL 143.920073 140.477228 \nL 140.339827 142.864181 \nL 137.588185 145.052153 \nL 135.46595 147.132384 \nL 133.797818 149.15782 \nL 132.436738 151.152647 \nL 130.714234 154.097532 \nL 127.970968 158.825638 \nL 126.724226 160.626371 \nL 125.308768 162.360903 \nL 123.672164 164.018639 \nL 121.760717 165.586253 \nL 119.517663 167.045061 \nL 116.882294 168.367401 \nL 113.790391 169.511706 \nL 110.176681 170.41591 \nL 108.154752 170.750909 \nL 105.980455 170.988885 \nL 103.64864 171.112179 \nL 101.156155 171.099933 \nL 98.50262 170.927741 \nL 95.691403 170.567374 \nL 92.730801 169.986614 \nL 89.635416 169.149321 \nL 86.427773 168.015821 \nL 83.140055 166.543772 \nL 79.815916 164.689693 \nL 76.512198 162.411347 \nL 73.300263 159.671175 \nL 70.266607 156.44089 \nL 67.512302 152.707237 \nL 65.150711 148.478686 \nL 63.303004 143.792409 \nL 62.091125 138.720606 \nL 61.628271 133.374627 \nL 62.00745 127.905251 \nL 63.289497 122.497484 \nL 65.492461 117.358987 \nL 68.584707 112.702506 \nL 72.483711 108.724393 \nL 77.06159 105.58283 \nL 82.156848 103.38011 \nL 87.590341 102.152748 \nL 93.182389 101.871467 \nL 98.767956 102.450451 \nL 104.207601 103.763307 \nL 109.393252 105.6617 \nL 114.249177 107.993014 \nL 118.729348 110.614278 \nL 122.812713 113.401195 \nL 126.497715 116.252444 \nL 129.797016 119.090197 \nL 132.732928 121.858121 \nL 135.333766 124.518061 \nL 139.657686 129.430073 \nL 143.028254 133.749661 \nL 146.824532 139.158874 \nL 150.571771 144.650649 \nL 152.225015 146.774256 \nL 153.884116 148.531804 \nL 155.637912 149.943496 \nL 157.56055 151.016208 \nL 159.715182 151.743731 \nL 162.156176 152.107054 \nL 164.929541 152.074827 \nL 168.071145 151.604301 \nL 171.602219 150.643433 \nL 175.521516 149.135143 \nL 179.793543 147.025293 \nL 182.037546 145.73186 \nL 184.332701 144.276249 \nL 186.65736 142.659788 \nL 188.984334 140.887917 \nL 191.280405 138.97127 \nL 193.506028 136.926785 \nL 195.615307 134.778783 \nL 197.556396 132.559842 \nL 199.27245 130.311328 \nL 200.703237 128.083331 \nL 201.787508 125.933821 \nL 202.466143 123.926763 \nL 202.685971 122.129125 \nL 202.404055 120.606739 \nL 201.592026 119.419299 \nL 200.239941 118.614938 \nL 198.359045 118.225166 \nL 195.982877 118.260943 \nL 193.166304 118.710779 \nL 189.982399 119.541352 \nL 186.517454 120.70078 \nL 182.864795 122.124034 \nL 175.366099 125.476685 \nL 168.144089 129.066627 \nL 161.656705 132.514404 \nL 156.136901 135.63865 \nL 151.635416 138.413603 \nL 148.086263 140.897027 \nL 145.364691 143.170673 \nL 143.32733 145.306554 \nL 141.835699 147.354726 \nL 140.767815 149.343385 \nL 140.02239 151.284048 \nL 139.518868 153.177587 \nL 139.086239 155.918404 \nL 138.917319 158.518883 \nL 138.958949 161.732634 \nL 139.222093 164.629112 \nL 139.689575 167.194019 \nL 140.195765 168.895298 \nL 140.872142 170.400399 \nL 141.769972 171.699015 \nL 142.525976 172.441077 \nL 143.439173 173.074238 \nL 144.543111 173.585956 \nL 145.878644 173.958799 \nL 147.49528 174.16878 \nL 149.452637 174.183116 \nL 151.821875 173.957208 \nL 154.686788 173.430651 \nL 158.144023 172.522111 \nL 162.301375 171.123064 \nL 167.272344 169.090928 \nL 173.163938 166.243156 \nL 176.481122 164.444966 \nL 180.05288 162.356191 \nL 183.877149 159.944355 \nL 187.943269 157.177226 \nL 192.229038 154.024987 \nL 196.697216 150.463409 \nL 201.291507 146.478248 \nL 205.932213 142.071041 \nL 210.511926 137.266359 \nL 214.891913 132.12031 \nL 218.900147 126.729575 \nL 222.33244 121.239625 \nL 224.958348 115.849777 \nL 226.533688 110.811873 \nL 226.821046 106.418768 \nL 225.618262 102.979292 \nL 222.792357 100.778778 \nL 218.312988 100.029074 \nL 212.276354 100.818347 \nL 204.909785 103.076263 \nL 196.550747 106.570048 \nL 187.602031 110.938752 \nL 178.474195 115.758434 \nL 161.054908 125.18308 \nL 153.229362 129.228086 \nL 146.149955 132.640968 \nL 139.841032 135.402585 \nL 134.278313 137.557486 \nL 129.408722 139.185152 \nL 125.165372 140.377534 \nL 121.477521 141.224407 \nL 118.276488 141.805402 \nL 113.08715 142.421693 \nL 109.167356 142.604056 \nL 104.971681 142.50484 \nL 102.138209 142.224609 \nL 99.680708 141.7354 \nL 98.483893 141.309382 \nL 97.678639 140.844214 \nL 97.186574 140.359622 \nL 96.960384 139.886448 \nL 96.964578 139.462774 \nL 97.163544 139.127827 \nL 97.515503 138.915409 \nL 97.971128 138.848359 \nL 98.64492 138.997143 \nL 99.274091 139.39421 \nL 99.742506 139.97427 \nL 99.965057 140.643869 \nL 99.896903 141.29751 \nL 99.652634 141.714717 \nL 99.258803 142.025655 \nL 98.744014 142.198292 \nL 98.14886 142.209917 \nL 97.52406 142.049744 \nL 96.927487 141.721483 \nL 96.419692 141.245397 \nL 96.057885 140.659079 \nL 95.888746 140.015974 \nL 95.941224 139.380975 \nL 96.220818 138.823109 \nL 96.706945 138.406281 \nL 97.35448 138.179969 \nL 98.099359 138.172116 \nL 98.867017 138.385815 \nL 99.581744 138.80025 \nL 100.175046 139.375064 \nL 100.591721 140.056494 \nL 100.793391 140.783711 \nL 100.759885 141.494154 \nL 100.489268 142.127529 \nL 99.997344 142.628745 \nL 99.317102 142.95032 \nL 98.498124 143.054977 \nL 97.605563 142.918987 \nL 96.717834 142.536324 \nL 95.922071 141.9232 \nL 95.306536 141.121718 \nL 94.95 140.200741 \nL 94.909356 139.25201 \nL 95.070986 138.65577 \nL 95.381311 138.125174 \nL 95.828969 137.688998 \nL 96.394729 137.371284 \nL 97.052718 137.189538 \nL 97.772201 137.153575 \nL 98.893211 137.374602 \nL 99.96348 137.899757 \nL 100.880272 138.672233 \nL 101.561269 139.615399 \nL 101.949096 140.643639 \nL 102.011887 141.670598 \nL 101.868338 142.313767 \nL 101.579523 142.897128 \nL 101.152778 143.39959 \nL 100.599559 143.801769 \nL 99.935485 144.086198 \nL 99.180465 144.237694 \nL 98.358796 144.243924 \nL 97.499189 144.0962 \nL 96.634529 143.790498 \nL 95.801278 143.328658 \nL 95.038381 142.71962 \nL 94.385562 141.98051 \nL 93.881014 141.137283 \nL 93.558605 140.224666 \nL 93.444819 139.285111 \nL 93.555826 138.366583 \nL 93.895197 137.519335 \nL 94.452631 136.791853 \nL 95.204128 136.22663 \nL 96.11359 135.856393 \nL 97.135723 135.70139 \nL 98.219739 135.7682 \nL 99.313329 136.050143 \nL 100.366275 136.529031 \nL 101.333327 137.177822 \nL 102.176109 137.963567 \nL 102.864049 138.850248 \nL 103.374484 139.801096 \nL 103.692186 140.780217 \nL 103.808579 141.75361 \nL 103.72089 142.689562 \nL 103.431413 143.558687 \nL 102.94701 144.333673 \nL 102.278929 144.988979 \nL 101.442947 145.500612 \nL 100.459807 145.8461 \nL 99.35586 146.00483 \nL 98.16379 145.958829 \nL 96.923222 145.694066 \nL 95.680948 145.202353 \nL 94.490489 144.483728 \nL 93.410655 143.549115 \nL 92.502844 142.422901 \nL 91.826997 141.144769 \nL 91.436318 139.770143 \nL 91.371383 138.368473 \nL 91.654456 137.018983 \nL 92.285206 135.80402 \nL 93.238878 134.800819 \nL 94.467595 134.073126 \nL 95.904744 133.664404 \nL 97.471698 133.594035 \nL 99.085521 133.857118 \nL 100.666261 134.427588 \nL 102.142685 135.263561 \nL 103.455843 136.313518 \nL 104.560488 137.522065 \nL 105.424686 138.834451 \nL 106.028264 140.199517 \nL 106.360684 141.571115 \nL 106.418854 142.908361 \nL 106.205257 144.175035 \nL 105.726597 145.338532 \nL 104.993091 146.368618 \nL 104.018445 147.236234 \nL 102.820485 147.912544 \nL 101.422394 148.368414 \nL 99.854445 148.574449 \nL 98.156055 148.501894 \nL 96.377857 148.124565 \nL 94.58335 147.422018 \nL 92.849527 146.38408 \nL 91.265737 145.016483 \nL 89.929907 143.347023 \nL 89.386306 142.415178 \nL 88.941691 141.430934 \nL 88.60714 140.405959 \nL 88.392451 139.353759 \nL 88.305748 138.289479 \nL 88.35309 137.22963 \nL 88.538129 136.191668 \nL 88.861845 135.193519 \nL 89.322375 134.253017 \nL 89.914946 133.387307 \nL 90.631941 132.612249 \nL 91.463077 131.941835 \nL 92.395724 131.387727 \nL 93.415301 130.958855 \nL 94.505759 130.661195 \nL 95.650096 130.497654 \nL 96.830899 130.468149 \nL 98.030844 130.569785 \nL 99.233172 130.797169 \nL 100.422068 131.142795 \nL 102.702821 132.15081 \nL 104.775167 133.508354 \nL 106.567337 135.123549 \nL 108.032561 136.908273 \nL 109.145125 138.784317 \nL 109.895252 140.68591 \nL 110.28396 142.559527 \nL 110.31866 144.362056 \nL 110.009848 146.058175 \nL 109.368998 147.617497 \nL 108.407621 149.011798 \nL 107.137444 150.212521 \nL 105.571636 151.18864 \nL 103.727033 151.904983 \nL 101.627348 152.321252 \nL 99.307312 152.391978 \nL 96.817537 152.067984 \nL 94.229674 151.299991 \nL 92.928261 150.735592 \nL 91.640983 150.045093 \nL 90.384423 149.22576 \nL 89.17688 148.276679 \nL 88.038189 147.199248 \nL 86.989426 145.997664 \nL 86.052475 144.679393 \nL 85.249462 143.255587 \nL 84.602037 141.741382 \nL 84.130558 140.156038 \nL 83.853181 138.52287 \nL 83.784899 136.868908 \nL 83.936642 135.224268 \nL 84.314452 133.621236 \nL 84.918871 132.093076 \nL 85.744569 130.672663 \nL 86.780304 129.390989 \nL 88.009196 128.275711 \nL 89.409359 127.349839 \nL 90.954807 126.630715 \nL 92.616577 126.129349 \nL 94.363975 125.850162 \nL 96.165828 125.791203 \nL 97.991675 125.944713 \nL 99.812773 126.297981 \nL 101.602911 126.834424 \nL 103.33897 127.534734 \nL 105.001257 128.377995 \nL 106.573603 129.34273 \nL 108.0433 130.407748 \nL 109.400878 131.552834 \nL 110.639794 132.759241 \nL 111.756053 134.009991 \nL 113.614975 136.586267 \nL 114.981612 139.184236 \nL 115.876451 141.734267 \nL 116.327175 144.188955 \nL 116.361953 146.516881 \nL 116.005124 148.696842 \nL 115.274834 150.712931 \nL 114.182248 152.5504 \nL 112.731952 154.19218 \nL 110.923456 155.615729 \nL 108.753747 156.790072 \nL 106.22108 157.672981 \nL 104.819715 157.988218 \nL 103.330317 158.208354 \nL 101.755717 158.323892 \nL 100.100185 158.3243 \nL 98.369784 158.198065 \nL 96.572756 157.932798 \nL 94.719926 157.515439 \nL 92.825128 156.932558 \nL 90.905606 156.170793 \nL 88.982386 155.217441 \nL 87.080562 154.061232 \nL 85.229433 152.693288 \nL 83.462455 151.108265 \nL 81.81692 149.305642 \nL 80.333289 147.291119 \nL 79.054131 145.077998 \nL 78.022622 142.688407 \nL 77.280619 140.154196 \nL 76.86636 137.517294 \nL 76.811944 134.829291 \nL 77.140773 132.150126 \nL 77.865256 129.545783 \nL 78.985042 127.085036 \nL 80.486085 124.835502 \nL 82.34072 122.859358 \nL 84.508858 121.209194 \nL 86.940179 119.924576 \nL 89.577132 119.029714 \nL 92.358347 118.532521 \nL 95.222134 118.425195 \nL 98.10963 118.686063 \nL 100.967341 119.282433 \nL 103.748945 120.173904 \nL 106.416283 121.315817 \nL 108.939637 122.662353 \nL 111.29742 124.169089 \nL 113.475459 125.794879 \nL 115.466023 127.503067 \nL 117.266747 129.262075 \nL 118.879548 131.04554 \nL 120.3096 132.832077 \nL 121.564429 134.604843 \nL 122.65313 136.350969 \nL 124.37259 139.728168 \nL 125.550359 142.918241 \nL 126.263996 145.904976 \nL 126.579597 148.689463 \nL 126.548763 151.281923 \nL 126.20779 153.696376 \nL 125.578101 155.947246 \nL 124.667236 158.047089 \nL 123.470018 160.004942 \nL 121.969681 161.824818 \nL 120.138964 163.504016 \nL 117.941301 165.030891 \nL 115.332414 166.381755 \nL 112.262831 167.516581 \nL 110.539402 167.984611 \nL 108.682183 168.37321 \nL 106.685923 168.669929 \nL 104.546465 168.859936 \nL 102.261258 168.925725 \nL 99.830009 168.846849 \nL 97.255454 168.599704 \nL 94.544317 168.157411 \nL 91.708416 167.489844 \nL 88.765927 166.563918 \nL 85.742791 165.344234 \nL 82.67416 163.794173 \nL 79.605806 161.87767 \nL 76.595296 159.56171 \nL 73.712675 156.819717 \nL 71.040363 153.635865 \nL 68.671845 150.010132 \nL 66.708798 145.963822 \nL 65.256334 141.54486 \nL 64.416256 136.831949 \nL 64.278586 131.936356 \nL 64.912064 127.00009 \nL 66.354894 122.189487 \nL 68.607314 117.683946 \nL 71.627669 113.660595 \nL 75.33327 110.276983 \nL 79.606385 107.654653 \nL 84.304665 105.86682 \nL 89.274205 104.932598 \nL 94.362948 104.818689 \nL 99.432232 105.447872 \nL 104.36496 106.711938 \nL 109.069845 108.486291 \nL 113.48205 110.64346 \nL 117.561176 113.063795 \nL 121.287608 115.642439 \nL 124.658269 118.292754 \nL 127.682431 120.946936 \nL 130.378018 123.554647 \nL 132.768572 126.080592 \nL 136.743208 130.804322 \nL 139.831168 135.032682 \nL 142.248937 138.763155 \nL 145.81273 144.879679 \nL 147.944714 148.46604 \nL 149.316192 150.448954 \nL 150.746675 152.132742 \nL 152.306796 153.528614 \nL 154.05926 154.636661 \nL 156.062057 155.445496 \nL 158.370546 155.931733 \nL 161.038177 156.059258 \nL 164.115474 155.778527 \nL 167.646677 155.026313 \nL 171.66315 153.726803 \nL 173.857053 152.845548 \nL 176.172406 151.795516 \nL 178.603688 150.566273 \nL 181.141451 149.148418 \nL 183.771426 147.534385 \nL 186.473568 145.719455 \nL 189.221032 143.703039 \nL 191.979186 141.490156 \nL 194.704737 139.093155 \nL 197.345106 136.533524 \nL 199.838247 133.843706 \nL 202.113095 131.068655 \nL 204.09094 128.266799 \nL 205.687904 125.510059 \nL 206.818758 122.882422 \nL 207.402067 120.476692 \nL 207.366549 118.389136 \nL 206.65812 116.712158 \nL 205.246885 115.525419 \nL 203.132958 114.886651 \nL 200.349915 114.823592 \nL 196.964914 115.32886 \nL 193.074888 116.35916 \nL 188.799135 117.839556 \nL 184.269311 119.672177 \nL 179.618458 121.747836 \nL 170.434348 126.206438 \nL 158.240663 132.504241 \nL 148.866393 137.566865 \nL 144.171669 140.31063 \nL 140.527011 142.714911 \nL 137.72507 144.912528 \nL 135.565239 146.997581 \nL 133.870236 149.025358 \nL 132.491001 151.021636 \nL 130.7538 153.968887 \nL 128.009072 158.703684 \nL 126.767558 160.508052 \nL 125.360089 162.246674 \nL 123.734144 163.908967 \nL 121.836084 165.48171 \nL 119.609308 166.946469 \nL 116.993331 168.276027 \nL 113.924142 169.429528 \nL 110.336553 170.345974 \nL 108.328913 170.688691 \nL 106.169637 170.935762 \nL 103.853463 171.069805 \nL 101.377059 171.070284 \nL 98.739793 170.913148 \nL 95.944685 170.570552 \nL 92.999562 170.010687 \nL 89.91843 169.197818 \nL 86.723047 168.092638 \nL 83.444659 166.65309 \nL 80.125803 164.835832 \nL 76.822029 162.598527 \nL 73.603273 159.903176 \nL 70.554555 156.720595 \nL 67.775521 153.03606 \nL 65.378348 148.855913 \nL 63.483471 144.21453 \nL 62.212801 139.180716 \nL 61.68044 133.86207 \nL 61.981395 128.405659 \nL 63.179627 122.99337 \nL 65.297265 117.830931 \nL 68.30731 113.130892 \nL 72.131886 109.091425 \nL 76.64712 105.874512 \nL 81.694379 103.587754 \nL 87.095877 102.273706 \nL 92.67177 101.908934 \nL 98.255563 102.412495 \nL 103.705468 103.661352 \nL 108.910644 105.508872 \nL 113.792568 107.802621 \nL 118.302682 110.398671 \nL 122.417829 113.171054 \nL 126.134818 116.016472 \nL 129.465111 118.855113 \nL 132.430202 121.628843 \nL 135.057887 124.297991 \nL 139.427492 129.234122 \nL 142.83277 133.580569 \nL 146.662214 139.028967 \nL 150.425108 144.567293 \nL 152.076723 146.71222 \nL 153.729215 148.490518 \nL 155.472172 149.92303 \nL 157.380337 151.017309 \nL 159.517385 151.767817 \nL 161.938224 152.156206 \nL 164.689548 152.15173 \nL 167.808207 151.712132 \nL 171.316902 150.785581 \nL 175.216582 149.314741 \nL 179.474908 147.244397 \nL 181.715579 145.970825 \nL 184.010595 144.53459 \nL 186.339028 142.936452 \nL 188.674469 141.181143 \nL 190.984507 139.278446 \nL 193.230394 137.244325 \nL 195.366957 135.10201 \nL 197.342955 132.882932 \nL 199.101906 130.627327 \nL 200.583631 128.384278 \nL 201.726506 126.210993 \nL 202.470513 124.171083 \nL 202.761018 122.331708 \nL 202.553029 120.759581 \nL 201.815592 119.516002 \nL 200.535789 118.651441 \nL 198.721736 118.200289 \nL 196.403955 118.176698 \nL 193.634733 118.572295 \nL 190.485255 119.356473 \nL 187.040829 120.479272 \nL 183.394752 121.876647 \nL 179.641705 123.477099 \nL 172.164551 127.005026 \nL 165.193073 130.580482 \nL 159.087476 133.90893 \nL 153.994468 136.884534 \nL 149.905519 139.527209 \nL 146.722043 141.911908 \nL 144.306323 144.119667 \nL 142.514104 146.214133 \nL 141.212367 148.235785 \nL 140.287228 150.205034 \nL 139.645977 152.128179 \nL 139.215976 154.003185 \nL 138.850548 156.711966 \nL 138.702092 160.094544 \nL 138.797809 163.178645 \nL 139.074603 165.94432 \nL 139.532569 168.385479 \nL 140.020983 170.001604 \nL 140.671552 171.429579 \nL 141.53524 172.6601 \nL 142.263322 173.362291 \nL 143.143903 173.960454 \nL 144.209915 174.442563 \nL 145.501503 174.791872 \nL 147.067396 174.985323 \nL 148.96642 174.991363 \nL 151.269014 174.767014 \nL 154.058504 174.25395 \nL 157.431609 173.373415 \nL 161.497239 172.019906 \nL 166.371878 170.054016 \nL 172.168684 167.295776 \nL 175.442302 165.551353 \nL 178.975634 163.521982 \nL 182.76925 161.174378 \nL 186.815797 158.474854 \nL 191.097144 155.391277 \nL 195.58093 151.895973 \nL 200.216548 147.969853 \nL 204.930668 143.607953 \nL 209.622659 138.826525 \nL 214.160417 133.671588 \nL 218.377566 128.228382 \nL 222.073351 122.630526 \nL 225.016944 117.066822 \nL 226.95813 111.782473 \nL 227.64612 107.070805 \nL 226.857054 103.251537 \nL 224.428472 100.633543 \nL 220.295604 99.464434 \nL 214.52063 99.87593 \nL 207.304131 101.840566 \nL 198.970511 105.15727 \nL 189.926482 109.477016 \nL 180.602104 114.365235 \nL 162.60648 124.154927 \nL 154.46141 128.421817 \nL 147.071963 132.041819 \nL 140.475564 134.977794 \nL 134.654419 137.266197 \nL 129.557343 138.985691 \nL 125.116632 140.231769 \nL 121.25943 141.099726 \nL 117.914533 141.675164 \nL 115.015964 142.030005 \nL 110.327976 142.295689 \nL 106.804574 142.215022 \nL 104.153384 141.964509 \nL 101.359261 141.458335 \nL 99.565084 140.909182 \nL 98.465106 140.374025 \nL 97.866038 139.887189 \nL 97.63832 139.479435 \nL 97.685859 139.179832 \nL 97.928632 139.011902 \nL 98.431584 139.014413 \nL 98.995923 139.269705 \nL 99.484986 139.732752 \nL 99.792705 140.32617 \nL 99.85178 140.954182 \nL 99.637588 141.51682 \nL 99.307042 141.840016 \nL 98.855065 142.042013 \nL 98.12499 142.082592 \nL 97.351034 141.839379 \nL 96.66214 141.328971 \nL 96.279901 140.808675 \nL 96.065574 140.219985 \nL 96.051247 139.620518 \nL 96.248704 139.073766 \nL 96.646134 138.641044 \nL 97.20836 138.372894 \nL 97.880843 138.301861 \nL 98.596687 138.438261 \nL 99.285058 138.769759 \nL 99.879274 139.264334 \nL 100.323239 139.875426 \nL 100.575591 140.547754 \nL 100.611754 141.222638 \nL 100.424481 141.842235 \nL 100.023614 142.352734 \nL 99.435584 142.70691 \nL 98.702761 142.866657 \nL 97.882518 142.80596 \nL 97.045229 142.514533 \nL 96.270502 142.001856 \nL 95.640837 141.300672 \nL 95.232571 140.468361 \nL 95.104913 139.584541 \nL 95.289084 138.743605 \nL 95.58441 138.254987 \nL 96.006215 137.854998 \nL 96.5365 137.565493 \nL 97.48155 137.37124 \nL 98.517928 137.483338 \nL 99.540009 137.889139 \nL 100.447884 138.544733 \nL 101.157708 139.384135 \nL 101.607589 140.32935 \nL 101.759505 141.298838 \nL 101.598704 142.213344 \nL 101.320388 142.75583 \nL 100.912982 143.221011 \nL 100.387671 143.590572 \nL 99.759664 143.848152 \nL 98.668405 143.994615 \nL 97.472835 143.823814 \nL 96.274957 143.322229 \nL 95.532574 142.810067 \nL 94.877805 142.169923 \nL 94.346684 141.422788 \nL 93.972217 140.597678 \nL 93.781709 139.731027 \nL 93.794082 138.865085 \nL 94.017568 138.045388 \nL 94.448191 137.317403 \nL 95.069343 136.7228 \nL 95.852671 136.29585 \nL 96.760164 136.060575 \nL 97.747148 136.029006 \nL 98.76577 136.200882 \nL 99.768426 136.56461 \nL 100.710693 137.099222 \nL 101.553533 137.776908 \nL 102.264604 138.565589 \nL 102.818791 139.431244 \nL 103.1981 140.339726 \nL 103.391153 141.257989 \nL 103.392506 142.154781 \nL 103.201967 143.000904 \nL 102.824077 143.769189 \nL 102.267818 144.4343 \nL 101.546601 144.97259 \nL 100.678514 145.362037 \nL 99.686788 145.5825 \nL 98.600347 145.616285 \nL 97.454327 145.449186 \nL 96.290314 145.071997 \nL 95.156091 144.482463 \nL 94.104583 143.687569 \nL 93.191781 142.705779 \nL 92.473518 141.568867 \nL 92.001129 140.322695 \nL 91.816391 139.026338 \nL 91.946363 137.749132 \nL 92.399086 136.56555 \nL 93.161067 135.548417 \nL 94.197274 134.761492 \nL 95.453895 134.252814 \nL 96.863428 134.050125 \nL 98.351188 134.159247 \nL 99.842008 134.565474 \nL 101.266049 135.237374 \nL 102.562952 136.131905 \nL 103.684117 137.199715 \nL 104.59321 138.389727 \nL 105.265381 139.652472 \nL 105.685698 140.9421 \nL 105.847286 142.2172 \nL 105.749576 143.44071 \nL 105.396901 144.579266 \nL 104.797631 145.602217 \nL 103.963879 146.480631 \nL 102.911826 147.186412 \nL 101.662575 147.691747 \nL 100.243512 147.969027 \nL 98.689964 147.991477 \nL 97.046943 147.734624 \nL 95.370624 147.178836 \nL 93.729041 146.312966 \nL 92.2014 145.139024 \nL 90.875341 143.677385 \nL 89.841616 141.971614 \nL 89.186062 140.091557 \nL 89.023112 139.1152 \nL 88.979479 138.133014 \nL 89.05989 137.160185 \nL 89.266862 136.212583 \nL 89.600483 135.306316 \nL 90.058309 134.457251 \nL 90.635327 133.680479 \nL 91.324053 132.989823 \nL 92.114706 132.397364 \nL 92.995502 131.913047 \nL 93.953012 131.544381 \nL 94.972587 131.296258 \nL 96.038799 131.170893 \nL 97.135914 131.167892 \nL 98.248309 131.28443 \nL 100.45936 131.854338 \nL 102.562746 132.820989 \nL 104.469462 134.107551 \nL 106.113455 135.631223 \nL 107.450733 137.311939 \nL 108.456098 139.077769 \nL 109.118805 140.867245 \nL 109.438181 142.62936 \nL 109.419822 144.322085 \nL 109.072749 145.91016 \nL 108.407613 147.362612 \nL 107.435976 148.650324 \nL 106.170607 149.74386 \nL 104.626764 150.611647 \nL 102.824393 151.218657 \nL 100.791205 151.525835 \nL 98.566501 151.490589 \nL 96.205473 151.068783 \nL 93.783472 150.218852 \nL 92.579502 149.622652 \nL 91.399244 148.908549 \nL 90.258843 148.075552 \nL 89.175807 147.124594 \nL 88.168768 146.058951 \nL 87.257139 144.884628 \nL 86.460668 143.61073 \nL 85.798862 142.249729 \nL 85.290321 140.817621 \nL 84.95199 139.333931 \nL 84.798356 137.821481 \nL 84.840668 136.305966 \nL 85.086203 134.815262 \nL 85.537678 133.378532 \nL 86.19284 132.025118 \nL 87.044294 130.783346 \nL 88.079607 129.67927 \nL 89.281687 128.73552 \nL 90.629421 127.970309 \nL 92.098535 127.396691 \nL 93.66257 127.022183 \nL 95.293962 126.848668 \nL 96.965073 126.872711 \nL 98.649148 127.08611 \nL 100.321117 127.476673 \nL 101.958231 128.029142 \nL 103.54048 128.726142 \nL 105.050826 129.549104 \nL 106.475278 130.479098 \nL 107.802792 131.497519 \nL 109.025087 132.586636 \nL 111.133019 134.912545 \nL 112.776768 137.343667 \nL 113.958065 139.792545 \nL 114.692889 142.195167 \nL 115.00357 144.506312 \nL 114.913072 146.694263 \nL 114.44135 148.735815 \nL 113.603431 150.611849 \nL 112.408933 152.303573 \nL 110.862803 153.789236 \nL 108.967137 155.041156 \nL 106.724188 156.023035 \nL 104.140667 156.687566 \nL 102.725921 156.882561 \nL 101.233631 156.974618 \nL 99.668805 156.954121 \nL 98.038158 156.810707 \nL 96.350443 156.53339 \nL 94.616799 156.110791 \nL 92.851094 155.531434 \nL 91.070239 154.78419 \nL 89.294471 153.858825 \nL 87.547521 152.746718 \nL 85.856664 151.441699 \nL 84.252581 149.94106 \nL 82.768979 148.246615 \nL 81.441929 146.365851 \nL 80.308852 144.312998 \nL 79.407185 142.109942 \nL 78.772693 139.786826 \nL 78.437541 137.382139 \nL 78.428207 134.94221 \nL 78.76343 132.519951 \nL 79.452406 130.172819 \nL 80.493444 127.960107 \nL 81.873303 125.939672 \nL 83.567352 124.1645 \nL 85.54057 122.679417 \nL 87.749378 121.518347 \nL 90.144046 120.702475 \nL 92.671475 120.239494 \nL 95.278019 120.123992 \nL 97.912085 120.338874 \nL 100.526272 120.85756 \nL 103.078932 121.646624 \nL 105.535107 122.668518 \nL 107.866895 123.88414 \nL 110.053306 125.254996 \nL 112.079781 126.744847 \nL 113.937456 128.320844 \nL 115.622309 129.95416 \nL 117.134268 131.620232 \nL 118.476356 133.298694 \nL 119.653897 134.973085 \nL 120.673824 136.630453 \nL 122.27315 139.857091 \nL 123.341919 142.927655 \nL 123.945372 145.819084 \nL 124.13964 148.525533 \nL 123.96831 151.050611 \nL 123.461175 153.402051 \nL 122.634286 155.587992 \nL 121.490705 157.614279 \nL 120.021625 159.482252 \nL 118.207728 161.186531 \nL 116.020868 162.712522 \nL 113.426323 164.033206 \nL 110.386157 165.105041 \nL 108.687466 165.528252 \nL 106.864456 165.862743 \nL 104.914297 166.095941 \nL 102.835541 166.213119 \nL 100.628649 166.19721 \nL 98.296621 166.028666 \nL 95.845739 165.685407 \nL 93.286442 165.142879 \nL 90.634284 164.374319 \nL 87.911008 163.351258 \nL 85.145638 162.044408 \nL 82.375523 160.424975 \nL 79.647224 158.466528 \nL 77.017047 156.147477 \nL 74.551022 153.454188 \nL 72.324063 150.384649 \nL 70.418049 146.952494 \nL 68.918592 143.190956 \nL 67.910404 139.156183 \nL 67.471351 134.929125 \nL 67.66558 130.615142 \nL 68.536447 126.340621 \nL 70.100264 122.246193 \nL 72.341978 118.476763 \nL 75.213848 115.169398 \nL 78.637681 112.440721 \nL 82.510569 110.375904 \nL 86.713378 109.021273 \nL 91.120595 108.3818 \nL 95.610003 108.423753 \nL 100.070766 109.081695 \nL 104.409075 110.268186 \nL 108.551062 111.884284 \nL 112.443244 113.829182 \nL 116.051112 116.007763 \nL 119.356577 118.335702 \nL 122.354905 120.742092 \nL 125.05163 123.1701 \nL 127.459742 125.576228 \nL 129.597303 127.928732 \nL 131.485518 130.205677 \nL 134.605862 134.482547 \nL 137.005415 138.357349 \nL 138.857003 141.833891 \nL 140.930406 146.366433 \nL 144.364418 154.37021 \nL 145.325475 156.11892 \nL 146.379054 157.657427 \nL 147.571394 158.989796 \nL 148.947798 160.112543 \nL 150.555029 161.014072 \nL 152.443188 161.67372 \nL 154.667012 162.060322 \nL 157.286412 162.130246 \nL 160.365839 161.825013 \nL 163.971811 161.068693 \nL 168.167492 159.765806 \nL 173.002638 157.801004 \nL 175.66789 156.529749 \nL 178.496569 155.043115 \nL 181.48195 153.324296 \nL 184.611397 151.357852 \nL 187.864833 149.131062 \nL 191.213041 146.635722 \nL 194.615828 143.8704 \nL 198.020241 140.843222 \nL 201.358941 137.575068 \nL 204.549127 134.103052 \nL 207.492313 130.483901 \nL 210.075531 126.796725 \nL 212.174445 123.144373 \nL 213.658932 119.652368 \nL 214.401418 116.464398 \nL 214.287918 113.733497 \nL 213.231008 111.608668 \nL 211.183137 110.217823 \nL 208.148002 109.649318 \nL 204.187115 109.935798 \nL 199.41916 111.044537 \nL 194.011081 112.877953 \nL 188.161723 115.28535 \nL 182.081128 118.08393 \nL 170.001119 124.113606 \nL 154.117647 132.205522 \nL 142.201755 137.96776 \nL 131.803799 142.94784 \nL 128.285054 144.866025 \nL 125.496961 146.632421 \nL 123.199098 148.327998 \nL 119.329961 151.599789 \nL 116.525315 153.905367 \nL 114.515326 155.318291 \nL 112.30911 156.586606 \nL 109.851976 157.663524 \nL 107.103684 158.49312 \nL 104.040219 159.00765 \nL 102.388294 159.121708 \nL 100.65838 159.124967 \nL 98.854593 159.004687 \nL 96.983493 158.747215 \nL 95.054471 158.338141 \nL 93.080189 157.762582 \nL 91.077009 157.005578 \nL 89.065394 156.052684 \nL 87.070244 154.890745 \nL 85.121102 153.508869 \nL 83.252154 151.899632 \nL 81.501977 150.060463 \nL 79.912907 147.99517 \nL 78.529991 145.715488 \nL 77.399442 143.242521 \nL 76.566627 140.60786 \nL 76.073584 137.85414 \nL 75.956264 135.034807 \nL 76.241682 132.212872 \nL 76.945276 129.458567 \nL 78.068812 126.845888 \nL 79.599185 124.44829 \nL 81.508336 122.333921 \nL 83.754419 120.560946 \nL 86.284143 119.173543 \nL 89.036024 118.19918 \nL 91.944196 117.647427 \nL 94.942276 117.510461 \nL 97.966905 117.76511 \nL 100.9606 118.375972 \nL 103.873754 119.299187 \nL 106.665714 120.486246 \nL 109.305077 121.887482 \nL 111.769305 123.454924 \nL 114.043906 125.144351 \nL 116.121331 126.916597 \nL 117.99977 128.738167 \nL 119.681956 130.581319 \nL 121.174042 132.423763 \nL 122.484621 134.248141 \nL 123.623885 136.04137 \nL 125.433217 139.499443 \nL 126.692551 142.754229 \nL 127.4866 145.792325 \nL 127.887574 148.617933 \nL 127.952289 151.244358 \nL 127.721578 153.688616 \nL 127.220938 155.968112 \nL 126.461702 158.098595 \nL 125.442304 160.092784 \nL 124.149408 161.959252 \nL 122.558849 163.701217 \nL 120.636445 165.314928 \nL 118.338876 166.787368 \nL 115.615019 168.092889 \nL 112.408298 169.188429 \nL 110.605696 169.637666 \nL 108.661006 170.006962 \nL 106.568093 170.282793 \nL 104.321979 170.448975 \nL 101.91942 170.486322 \nL 99.359622 170.37232 \nL 96.645128 170.080853 \nL 93.782889 169.582033 \nL 90.785543 168.842218 \nL 87.672874 167.824302 \nL 84.473447 166.488415 \nL 81.226299 164.793209 \nL 77.982598 162.697893 \nL 74.807011 160.16518 \nL 71.778504 157.165322 \nL 68.990143 153.681226 \nL 66.547463 149.714512 \nL 64.564885 145.29206 \nL 63.159836 140.472215 \nL 62.444494 135.349433 \nL 62.515522 130.055838 \nL 63.442806 124.758112 \nL 65.258846 119.648667 \nL 67.950845 114.931003 \nL 71.457512 110.800557 \nL 75.671918 107.424036 \nL 80.450462 104.920964 \nL 85.626604 103.351376 \nL 91.026826 102.712135 \nL 96.485889 102.942337 \nL 101.858922 103.936049 \nL 107.028921 105.559083 \nL 111.909546 107.666249 \nL 116.444015 110.11606 \nL 120.601435 112.781267 \nL 124.371896 115.554796 \nL 127.761362 118.351771 \nL 130.78704 121.108632 \nL 133.47352 123.780538 \nL 135.849764 126.338035 \nL 139.796418 131.048654 \nL 142.875766 135.191704 \nL 146.363856 140.399242 \nL 149.865329 145.729966 \nL 151.440558 147.809769 \nL 153.040576 149.542744 \nL 154.748843 150.94597 \nL 156.636204 152.023791 \nL 158.764424 152.767853 \nL 161.188329 153.157117 \nL 163.956241 153.15796 \nL 167.108306 152.724634 \nL 170.672135 151.800719 \nL 174.655038 150.32262 \nL 179.032055 148.226663 \nL 181.347735 146.930073 \nL 183.729325 145.461947 \nL 186.156526 143.821347 \nL 188.603257 142.011285 \nL 191.037012 140.039888 \nL 193.418365 137.921677 \nL 195.700733 135.678845 \nL 197.830562 133.342421 \nL 199.748025 130.953133 \nL 201.388464 128.561729 \nL 202.684658 126.228482 \nL 203.569996 124.021626 \nL 203.982541 122.014481 \nL 203.869754 120.281229 \nL 203.193537 118.891442 \nL 201.934977 117.903894 \nL 200.098113 117.360345 \nL 197.71197 117.280378 \nL 194.830271 117.658262 \nL 191.528602 118.462709 \nL 187.899206 119.639827 \nL 184.044083 121.118895 \nL 180.06741 122.820027 \nL 172.135347 126.571128 \nL 164.745254 130.351003 \nL 158.288088 133.833557 \nL 152.916099 136.909059 \nL 148.610852 139.609416 \nL 145.257492 142.025815 \nL 142.701264 144.253214 \nL 140.782594 146.364888 \nL 139.355503 148.407058 \nL 138.295285 150.403182 \nL 137.499981 152.361091 \nL 136.631634 155.222469 \nL 135.59523 159.743193 \nL 134.596746 163.896698 \nL 133.858006 166.208338 \nL 132.926753 168.395079 \nL 131.722711 170.471187 \nL 130.720743 171.801541 \nL 129.518348 173.09374 \nL 128.072649 174.350347 \nL 126.332272 175.571106 \nL 124.235825 176.750914 \nL 121.710492 177.876677 \nL 118.671095 178.922527 \nL 115.020272 179.842547 \nL 110.651032 180.559997 \nL 108.162535 180.806642 \nL 105.453844 180.951778 \nL 102.51337 180.969274 \nL 99.331987 180.827124 \nL 95.904403 180.486515 \nL 92.230941 179.900937 \nL 88.319828 179.015439 \nL 84.190027 177.766254 \nL 79.87468 176.081036 \nL 75.425059 173.880152 \nL 70.914876 171.079536 \nL 66.444515 167.595749 \nL 62.14452 163.353872 \nL 58.177222 158.298802 \nL 54.735096 152.409927 \nL 52.034115 145.718477 \nL 50.300557 138.325207 \nL 49.750522 130.414664 \nL 50.563077 122.260532 \nL 52.850505 114.216281 \nL 56.631769 106.687192 \nL 61.816675 100.084353 \nL 68.207317 94.767829 \nL 75.519085 90.991919 \nL 83.417567 88.867485 \nL 91.562259 88.351939 \nL 99.64626 89.268903 \nL 107.423425 91.349918 \nL 114.719718 94.284893 \nL 121.430706 97.768004 \nL 127.510174 101.530509 \nL 132.955211 105.357902 \nL 137.791831 109.093583 \nL 142.063187 112.633586 \nL 149.119748 118.914177 \nL 156.785304 126.188367 \nL 163.446065 132.505352 \nL 165.859766 134.572192 \nL 167.915216 136.084716 \nL 169.742119 137.137514 \nL 171.431835 137.802149 \nL 173.043965 138.13315 \nL 174.611607 138.173608 \nL 176.14547 137.960096 \nL 177.637135 137.526914 \nL 179.061896 136.909669 \nL 180.381591 136.14813 \nL 181.547912 135.288077 \nL 182.506599 134.381902 \nL 183.202695 133.487561 \nL 183.586781 132.66575 \nL 183.621697 131.975404 \nL 183.288832 131.468087 \nL 182.592857 131.182337 \nL 181.563681 131.139229 \nL 180.255027 131.340351 \nL 178.739616 131.76878 \nL 176.264607 132.76551 \nL 173.805888 134.059657 \nL 171.617766 135.504088 \nL 169.886863 136.971347 \nL 169.045681 137.911634 \nL 168.477149 138.792957 \nL 168.1893 139.594235 \nL 168.182894 140.296076 \nL 168.453427 140.879823 \nL 168.992528 141.327016 \nL 169.788617 141.619276 \nL 170.826854 141.738582 \nL 172.088389 141.668016 \nL 173.548996 141.392926 \nL 175.177224 140.902629 \nL 176.932244 140.192649 \nL 178.761682 139.267481 \nL 180.599926 138.143736 \nL 182.367481 136.853267 \nL 183.972185 135.445638 \nL 185.313082 133.988952 \nL 186.287533 132.56789 \nL 186.801627 131.278044 \nL 186.862198 130.712861 \nL 186.782913 130.216199 \nL 186.560201 129.798247 \nL 186.193308 129.46763 \nL 185.684493 129.231038 \nL 185.039105 129.092925 \nL 183.37489 129.117888 \nL 181.299348 129.529908 \nL 178.943266 130.282223 \nL 176.452523 131.30478 \nL 173.970276 132.51803 \nL 171.622425 133.845492 \nL 169.508717 135.222012 \nL 167.699921 136.596961 \nL 166.239786 137.93327 \nL 165.149931 139.204108 \nL 164.435799 140.388926 \nL 164.092411 141.469955 \nL 164.10909 142.429665 \nL 164.472905 143.249152 \nL 165.170742 143.907372 \nL 166.190119 144.380906 \nL 167.518855 144.644217 \nL 169.143683 144.670283 \nL 171.047876 144.43177 \nL 173.207895 143.902866 \nL 175.589141 143.062152 \nL 178.140983 141.896681 \nL 180.791464 140.407563 \nL 183.442555 138.616876 \nL 185.967303 136.575288 \nL 188.210908 134.368767 \nL 189.998048 132.121722 \nL 190.663702 131.031622 \nL 191.148496 129.993058 \nL 191.433127 129.028946 \nL 191.501394 128.161948 \nL 191.341183 127.413442 \nL 190.945366 126.802429 \nL 190.312548 126.344472 \nL 189.447536 126.050747 \nL 188.361501 125.92735 \nL 187.071754 125.974892 \nL 185.601165 126.18852 \nL 183.977226 126.558301 \nL 180.395007 127.706055 \nL 176.588607 129.27215 \nL 172.811474 131.096649 \nL 169.273996 133.03817 \nL 166.126771 134.992022 \nL 163.459624 136.892791 \nL 161.311219 138.706434 \nL 159.68327 140.418552 \nL 158.554761 142.023642 \nL 157.893778 143.517512 \nL 157.666158 144.892946 \nL 157.841134 146.137806 \nL 158.39453 147.234536 \nL 159.310098 148.160277 \nL 160.579483 148.887098 \nL 162.201131 149.382117 \nL 164.178242 149.607571 \nL 166.515716 149.520981 \nL 169.215863 149.075835 \nL 172.272509 148.223309 \nL 175.663157 146.915885 \nL 179.338863 145.113817 \nL 183.212063 142.795602 \nL 187.14338 139.973227 \nL 189.070194 138.390661 \nL 190.930213 136.711805 \nL 192.687449 134.956591 \nL 194.3021 133.150685 \nL 195.731319 131.325675 \nL 196.930423 129.518887 \nL 197.85455 127.772664 \nL 198.460758 126.133064 \nL 198.710521 124.647901 \nL 198.572449 123.364164 \nL 198.025009 122.324947 \nL 197.058971 121.566176 \nL 195.679216 121.113501 \nL 193.905628 120.979788 \nL 191.772804 121.163643 \nL 189.32851 121.649331 \nL 186.631007 122.408092 \nL 183.745472 123.400857 \nL 177.681682 125.902748 \nL 171.64924 128.77989 \nL 166.051931 131.720611 \nL 161.14395 134.530491 \nL 157.038287 137.128611 \nL 153.74213 139.511595 \nL 151.197526 141.71318 \nL 149.31512 143.774785 \nL 147.997555 145.729837 \nL 147.153572 147.598535 \nL 146.705347 149.388417 \nL 146.591426 151.097211 \nL 146.767113 152.715905 \nL 147.203546 154.23115 \nL 147.886256 155.626655 \nL 148.81368 156.883676 \nL 149.99585 157.98072 \nL 151.453339 158.892625 \nL 153.216397 159.589129 \nL 155.324115 160.032974 \nL 157.823335 160.177659 \nL 160.766837 159.964926 \nL 164.210097 159.322281 \nL 168.205581 158.161151 \nL 172.793052 156.376896 \nL 175.314049 155.214864 \nL 177.983944 153.852859 \nL 180.795834 152.276332 \nL 183.737517 150.472109 \nL 186.790191 148.429573 \nL 189.927003 146.142191 \nL 193.111536 143.60945 \nL 196.296317 140.839159 \nL 199.421519 137.850119 \nL 202.414088 134.67494 \nL 205.187631 131.362817 \nL 207.643423 127.981757 \nL 209.672983 124.61968 \nL 211.162605 121.383643 \nL 212.000078 118.396366 \nL 212.08358 115.789431 \nL 211.332178 113.692874 \nL 209.696811 112.221771 \nL 207.170001 111.461426 \nL 203.792201 111.453716 \nL 199.652806 112.187893 \nL 194.884691 113.598638 \nL 189.652575 115.572848 \nL 184.137074 117.964315 \nL 178.51742 120.613173 \nL 167.588101 126.090906 \nL 146.111609 136.983209 \nL 137.855182 141.18722 \nL 133.865151 143.427881 \nL 130.764556 145.439618 \nL 128.303532 147.33876 \nL 126.270074 149.186049 \nL 122.823278 152.789643 \nL 120.292069 155.374223 \nL 118.454653 156.999136 \nL 116.412285 158.510906 \nL 114.103543 159.873468 \nL 111.475257 161.042425 \nL 108.483029 161.961349 \nL 105.094379 162.557307 \nL 103.24602 162.705707 \nL 101.295227 162.73618 \nL 99.244845 162.633022 \nL 97.100454 162.37887 \nL 94.870957 161.954795 \nL 92.569237 161.340536 \nL 90.212864 160.514911 \nL 87.824813 159.456474 \nL 85.434129 158.144448 \nL 83.076462 156.560021 \nL 80.794391 154.688004 \nL 78.637358 152.518881 \nL 76.661115 150.051165 \nL 74.926495 147.293994 \nL 73.497388 144.269672 \nL 72.43786 141.015884 \nL 71.808437 137.587127 \nL 71.661744 134.054901 \nL 72.037857 130.506211 \nL 72.959896 127.040075 \nL 74.430485 123.762049 \nL 76.429728 120.777086 \nL 78.915183 118.181545 \nL 81.824038 116.055357 \nL 85.077337 114.455588 \nL 88.585687 113.412389 \nL 92.255664 112.927918 \nL 95.996032 112.9783 \nL 99.723017 113.518105 \nL 103.36412 114.486391 \nL 106.860314 115.813295 \nL 110.166717 117.426233 \nL 113.252041 119.254984 \nL 116.097207 121.235358 \nL 118.693502 123.311429 \nL 121.040574 125.436474 \nL 123.144495 127.572944 \nL 125.016018 129.691792 \nL 126.669081 131.771432 \nL 128.119593 133.796541 \nL 130.480845 137.646208 \nL 132.234964 141.20141 \nL 133.507148 144.460503 \nL 134.405234 147.441295 \nL 135.017444 150.170002 \nL 135.546593 153.852379 \nL 135.749895 157.121401 \nL 135.727373 160.053483 \nL 135.531564 162.710189 \nL 135.180996 165.140538 \nL 134.668735 167.384219 \nL 133.96659 169.474531 \nL 133.025716 171.440536 \nL 132.231403 172.695058 \nL 131.271583 173.912735 \nL 130.111727 175.09938 \nL 128.709576 176.259164 \nL 127.013722 177.3935 \nL 124.962045 178.499201 \nL 122.480147 179.565528 \nL 119.480117 180.569537 \nL 115.860234 181.468909 \nL 111.506834 182.191088 \nL 109.017648 182.450993 \nL 106.300452 182.617334 \nL 103.341715 182.664368 \nL 100.13003 182.560277 \nL 96.657446 182.266116 \nL 92.92126 181.734751 \nL 88.926331 180.9099 \nL 84.688027 179.725462 \nL 80.23584 178.105411 \nL 75.61767 175.964718 \nL 70.904627 173.211783 \nL 66.19598 169.753187 \nL 61.623561 165.501499 \nL 57.354534 160.386871 \nL 53.590923 154.372735 \nL 50.563911 147.47503 \nL 48.520973 139.782905 \nL 47.70451 131.476797 \nL 48.32252 122.83779 \nL 50.514646 114.241149 \nL 54.320289 106.128554 \nL 59.657675 98.958307 \nL 66.32219 93.140708 \nL 74.007823 88.973292 \nL 82.34818 86.593944 \nL 90.966813 85.96589 \nL 99.523694 86.89807 \nL 107.747212 89.092549 \nL 115.447473 92.203135 \nL 122.513095 95.888994 \nL 128.897563 99.852663 \nL 134.601708 103.859486 \nL 139.657075 107.7411 \nL 144.112614 111.388631 \nL 151.453717 117.771839 \nL 167.406356 132.030332 \nL 169.540797 133.644824 \nL 171.312897 134.779483 \nL 172.828793 135.531603 \nL 174.161191 135.976262 \nL 175.356211 136.172615 \nL 176.439019 136.169057 \nL 177.868823 135.878814 \nL 179.045343 135.357804 \nL 179.91529 134.725079 \nL 180.415259 134.095888 \nL 180.517269 133.731652 \nL 180.425078 133.444015 \nL 180.140563 133.254825 \nL 179.675525 133.179074 \nL 178.689457 133.291822 \nL 177.456603 133.665982 \nL 175.665381 134.495986 \nL 174.009691 135.560401 \nL 173.027327 136.408419 \nL 172.362414 137.222318 \nL 172.065835 137.940905 \nL 172.084425 138.340236 \nL 172.276659 138.659109 \nL 172.637809 138.884838 \nL 173.158796 139.00633 \nL 174.209459 138.973789 \nL 175.524264 138.667097 \nL 177.014039 138.085013 \nL 178.562973 137.251617 \nL 180.029865 136.222814 \nL 181.255709 135.08961 \nL 182.080216 133.974339 \nL 182.337891 133.309738 \nL 182.327721 132.756249 \nL 182.036456 132.349624 \nL 181.468225 132.116654 \nL 180.645476 132.072301 \nL 179.607795 132.218279 \nL 177.767841 132.76689 \nL 175.779498 133.637346 \nL 173.860177 134.722121 \nL 172.197721 135.909534 \nL 170.931319 137.099217 \nL 170.148041 138.206896 \nL 169.916463 138.864499 \nL 169.922337 139.435543 \nL 170.163571 139.902685 \nL 170.633489 140.249511 \nL 171.321314 140.460539 \nL 172.212148 140.521557 \nL 173.286492 140.420324 \nL 175.185659 139.945168 \nL 177.32639 139.07425 \nL 179.552883 137.832612 \nL 181.66289 136.29589 \nL 182.886559 135.172478 \nL 183.8748 134.03334 \nL 184.553675 132.943936 \nL 184.859486 131.974497 \nL 184.747149 131.193035 \nL 184.527122 130.891424 \nL 184.197931 130.657139 \nL 183.224748 130.406161 \nL 181.873388 130.455768 \nL 180.218864 130.796427 \nL 178.357344 131.396316 \nL 176.395335 132.207839 \nL 173.492274 133.700844 \nL 170.904502 135.364385 \nL 169.46568 136.492888 \nL 168.3061 137.596057 \nL 167.450011 138.646576 \nL 166.908693 139.621785 \nL 166.684044 140.501632 \nL 166.771698 141.267015 \nL 167.163381 141.898709 \nL 167.84833 142.376795 \nL 168.813805 142.680608 \nL 170.044685 142.789154 \nL 171.522246 142.681959 \nL 173.222183 142.340484 \nL 175.111988 141.750183 \nL 177.147889 140.903293 \nL 179.271691 139.802464 \nL 181.408056 138.465019 \nL 183.463084 136.927439 \nL 185.325271 135.24916 \nL 186.870114 133.514315 \nL 187.969342 131.829584 \nL 188.314125 131.043777 \nL 188.50503 130.316621 \nL 188.531843 129.663415 \nL 188.38726 129.098414 \nL 188.067387 128.634207 \nL 187.572141 128.281115 \nL 186.905469 128.046693 \nL 186.07541 127.935342 \nL 185.093956 127.948114 \nL 182.742237 128.333614 \nL 180.007435 129.149241 \nL 177.071729 130.306017 \nL 174.117016 131.700006 \nL 171.303504 133.231424 \nL 168.756502 134.817478 \nL 166.56222 136.397154 \nL 164.770767 137.929469 \nL 163.403319 139.388148 \nL 162.46069 140.755514 \nL 161.931379 142.017309 \nL 161.798086 143.159113 \nL 162.04239 144.164217 \nL 162.647634 145.012615 \nL 163.600265 145.680692 \nL 164.889844 146.141297 \nL 166.50791 146.364116 \nL 168.445738 146.31634 \nL 170.691019 145.963914 \nL 173.223339 145.27363 \nL 176.008448 144.216602 \nL 178.991396 142.773534 \nL 182.089019 140.942316 \nL 185.182829 138.747839 \nL 188.114345 136.253257 \nL 190.685875 133.570304 \nL 191.766376 132.207856 \nL 192.670611 130.864448 \nL 193.369421 129.568204 \nL 193.835441 128.348992 \nL 194.044502 127.237267 \nL 193.97711 126.262659 \nL 193.61989 125.452375 \nL 192.966854 124.829518 \nL 192.020345 124.41152 \nL 190.79152 124.208866 \nL 189.300292 124.224273 \nL 187.574661 124.452444 \nL 185.64948 124.880528 \nL 183.564737 125.489154 \nL 179.090063 127.14782 \nL 174.495754 129.20904 \nL 170.085364 131.462516 \nL 166.084611 133.746867 \nL 162.631673 135.962528 \nL 159.787625 138.063141 \nL 157.556646 140.03715 \nL 155.90749 141.889566 \nL 154.791499 143.62883 \nL 154.155706 145.259493 \nL 153.951285 146.779268 \nL 154.138361 148.178664 \nL 154.688254 149.441661 \nL 155.584036 150.546527 \nL 156.820015 151.466284 \nL 158.400507 152.168712 \nL 160.338017 152.6159 \nL 162.650747 152.763568 \nL 165.35914 152.56045 \nL 168.48098 151.948241 \nL 172.024366 150.862857 \nL 175.977784 149.238173 \nL 180.296559 147.013814 \nL 182.565702 145.662719 \nL 184.885416 144.14903 \nL 187.232553 142.474299 \nL 189.578257 140.644504 \nL 191.887484 138.671169 \nL 194.118697 136.572502 \nL 196.223908 134.374486 \nL 198.149169 132.111735 \nL 199.835627 129.827949 \nL 201.221322 127.575747 \nL 202.243752 125.415604 \nL 202.843247 123.413731 \nL 202.967017 121.638748 \nL 202.573618 120.157219 \nL 201.637369 119.028357 \nL 200.152181 118.298399 \nL 198.134114 117.995525 \nL 195.622117 118.126165 \nL 192.676566 118.673503 \nL 189.375598 119.598721 \nL 185.809628 120.844919 \nL 182.074785 122.343116 \nL 174.472081 125.801772 \nL 167.219939 129.439945 \nL 160.757002 132.893267 \nL 155.293343 136.000458 \nL 150.860272 138.751881 \nL 147.378286 141.214551 \nL 144.714582 143.47372 \nL 142.721714 145.601533 \nL 141.259618 147.646755 \nL 140.206084 149.63609 \nL 139.460186 151.579899 \nL 138.941821 153.478393 \nL 138.460417 156.229745 \nL 138.160935 159.683659 \nL 138.078793 163.602247 \nL 138.203494 167.687262 \nL 138.516916 171.120625 \nL 138.968433 173.514558 \nL 139.521693 175.134437 \nL 140.100907 176.17444 \nL 140.876015 177.054994 \nL 141.534846 177.545123 \nL 142.337387 177.948488 \nL 143.315987 178.25353 \nL 144.510269 178.44427 \nL 145.968627 178.49879 \nL 147.749936 178.387129 \nL 149.92537 178.068402 \nL 152.580146 177.486871 \nL 155.814759 176.566689 \nL 159.744909 175.205138 \nL 164.498574 173.264406 \nL 170.207529 170.562857 \nL 173.458193 168.856288 \nL 176.988732 166.86849 \nL 180.805579 164.562906 \nL 184.90833 161.901143 \nL 189.286923 158.844553 \nL 193.91811 155.356743 \nL 198.761183 151.407343 \nL 203.753001 146.977329 \nL 208.802502 142.066208 \nL 213.785174 136.701184 \nL 218.538271 130.948042 \nL 222.858103 124.922949 \nL 226.501256 118.803244 \nL 229.192136 112.834109 \nL 230.639403 107.326485 \nL 230.56321 102.640805 \nL 228.733151 99.151831 \nL 225.012958 97.193735 \nL 219.402887 96.992175 \nL 212.066405 98.599741 \nL 203.327533 101.858443 \nL 193.632347 106.409878 \nL 183.481335 111.75825 \nL 163.636684 122.764405 \nL 154.607531 127.598718 \nL 146.417041 131.674233 \nL 139.117978 134.928795 \nL 132.693371 137.397825 \nL 127.084938 139.173355 \nL 122.214996 140.370389 \nL 118.000916 141.104455 \nL 114.36342 141.47927 \nL 111.23062 141.581872 \nL 108.539438 141.482187 \nL 106.235569 141.234902 \nL 104.272767 140.882174 \nL 102.611819 140.456393 \nL 100.067445 139.480533 \nL 98.390332 138.452166 \nL 97.420505 137.46964 \nL 97.029526 136.606306 \nL 97.106569 135.91887 \nL 97.55016 135.449113 \nL 98.2644 135.223121 \nL 99.158408 135.250616 \nL 100.147645 135.525498 \nL 101.155961 136.027883 \nL 102.117462 136.727274 \nL 102.977646 137.586179 \nL 103.693677 138.563605 \nL 104.233802 139.617904 \nL 104.576226 140.708794 \nL 104.707702 141.798512 \nL 104.622116 142.852246 \nL 104.319292 143.838017 \nL 103.804156 144.726256 \nL 103.086329 145.489268 \nL 102.180175 146.100742 \nL 101.105274 146.535516 \nL 99.88724 146.769673 \nL 98.558728 146.781239 \nL 97.160455 146.551452 \nL 95.741904 146.066857 \nL 94.361369 145.322084 \nL 93.084888 144.323228 \nL 91.983675 143.09142 \nL 91.129753 141.665851 \nL 90.58981 140.105335 \nL 90.417837 138.487402 \nL 90.647564 136.904064 \nL 91.2862 135.454168 \nL 91.752951 134.809516 \nL 92.311066 134.23312 \nL 92.953152 133.734548 \nL 93.670265 133.321846 \nL 95.287583 132.777324 \nL 97.07075 132.626884 \nL 98.921329 132.867343 \nL 100.744201 133.468785 \nL 102.455049 134.381495 \nL 103.984923 135.544095 \nL 105.281902 136.891088 \nL 106.310386 138.35868 \nL 107.048859 139.888396 \nL 107.486962 141.428744 \nL 107.622536 142.935272 \nL 107.459098 144.369624 \nL 107.004001 145.698029 \nL 106.267389 146.889581 \nL 105.262002 147.914579 \nL 104.003784 148.743106 \nL 102.513257 149.344004 \nL 100.817578 149.684457 \nL 98.953148 149.730435 \nL 96.968497 149.448259 \nL 94.927057 148.807656 \nL 92.909128 147.786585 \nL 91.012135 146.377883 \nL 90.14356 145.531955 \nL 89.348057 144.597265 \nL 88.640829 143.580703 \nL 88.036947 142.491532 \nL 87.550875 141.341491 \nL 87.195995 140.144812 \nL 86.984066 138.918085 \nL 86.924685 137.680027 \nL 87.024783 136.45106 \nL 87.288187 135.252768 \nL 87.715277 134.107235 \nL 88.302789 133.03626 \nL 89.043767 132.060557 \nL 89.927705 131.198939 \nL 90.940857 130.467591 \nL 92.066698 129.879454 \nL 93.286516 129.4438 \nL 94.580082 129.165983 \nL 95.926365 129.047436 \nL 97.304229 129.085843 \nL 98.693073 129.275505 \nL 100.073391 129.607847 \nL 101.427218 130.071992 \nL 102.738445 130.655376 \nL 103.993019 131.344372 \nL 106.286716 132.982619 \nL 108.237968 134.875677 \nL 109.806174 136.922716 \nL 110.974101 139.038809 \nL 111.740807 141.156111 \nL 112.115183 143.222166 \nL 112.110774 145.19671 \nL 111.742125 147.048032 \nL 111.022588 148.749345 \nL 109.963488 150.275492 \nL 108.574482 151.600001 \nL 106.865053 152.692547 \nL 104.847112 153.516828 \nL 102.53876 154.029008 \nL 99.969237 154.177071 \nL 97.185021 153.901678 \nL 95.733332 153.585357 \nL 94.256724 153.139366 \nL 92.768923 152.556221 \nL 91.285951 151.829275 \nL 89.826208 150.953184 \nL 88.410474 149.924469 \nL 87.06178 148.742143 \nL 85.805133 147.408393 \nL 84.667074 145.929277 \nL 83.675025 144.315379 \nL 82.85644 142.582351 \nL 82.23776 140.751289 \nL 81.843209 138.848816 \nL 81.693502 136.906836 \nL 81.804525 134.961863 \nL 82.18614 133.05391 \nL 82.841208 131.224964 \nL 83.764954 129.51712 \nL 84.944764 127.970507 \nL 86.360491 126.621194 \nL 87.985253 125.499283 \nL 89.786655 124.627368 \nL 91.728351 124.01955 \nL 93.771773 123.681078 \nL 95.877905 123.608621 \nL 98.008897 123.791135 \nL 100.129448 124.211139 \nL 102.207866 124.846289 \nL 104.216752 125.671017 \nL 106.133358 126.658124 \nL 107.939627 127.78018 \nL 109.621996 129.010652 \nL 111.171019 130.324756 \nL 112.580872 131.700014 \nL 113.848811 133.116566 \nL 114.97461 134.557263 \nL 115.960021 136.007605 \nL 117.523641 138.891404 \nL 118.57571 141.697123 \nL 119.157986 144.381015 \nL 119.310209 146.918041 \nL 119.065357 149.294742 \nL 118.447195 151.50361 \nL 117.469435 153.538696 \nL 116.136044 155.392077 \nL 114.442433 157.05073 \nL 112.377465 158.493552 \nL 109.926407 159.688197 \nL 107.075201 160.587677 \nL 105.496791 160.907151 \nL 103.816584 161.126753 \nL 102.036151 161.23494 \nL 100.158748 161.218678 \nL 98.189766 161.063459 \nL 96.137248 160.753364 \nL 94.01246 160.271266 \nL 91.830482 159.59914 \nL 89.61083 158.718586 \nL 87.378038 157.611556 \nL 85.162145 156.261355 \nL 82.99903 154.653939 \nL 80.930477 152.779512 \nL 79.003862 150.634416 \nL 77.271343 148.223197 \nL 75.788445 145.560761 \nL 74.611952 142.67432 \nL 73.797125 139.604889 \nL 73.394293 136.407941 \nL 73.445077 133.152875 \nL 73.978569 129.920969 \nL 75.00795 126.801759 \nL 76.528018 123.887865 \nL 78.51414 121.268773 \nL 80.922894 119.024198 \nL 83.694462 117.218017 \nL 86.756551 115.893519 \nL 90.029346 115.070798 \nL 93.430813 114.746584 \nL 96.881704 114.896341 \nL 100.309714 115.478281 \nL 103.652424 116.438414 \nL 106.858968 117.715921 \nL 109.890489 119.248082 \nL 112.719645 120.974353 \nL 115.329474 122.839265 \nL 117.711872 124.794216 \nL 119.865949 126.798246 \nL 121.79642 128.818067 \nL 123.512141 130.827555 \nL 125.024833 132.806923 \nL 126.348029 134.7418 \nL 128.484219 138.441927 \nL 130.037394 141.886676 \nL 131.116007 145.069585 \nL 131.813157 148.003094 \nL 132.204033 150.708622 \nL 132.34602 153.2107 \nL 132.280152 155.533781 \nL 132.033069 157.700594 \nL 131.618972 159.731421 \nL 131.04129 161.643863 \nL 130.293926 163.452814 \nL 129.362042 165.170452 \nL 128.222411 166.80609 \nL 126.843375 168.365751 \nL 125.184504 169.851301 \nL 123.196087 171.258917 \nL 120.818653 172.576613 \nL 117.982896 173.780404 \nL 114.610577 174.828564 \nL 110.617439 175.653294 \nL 108.3616 175.950773 \nL 105.919821 176.149106 \nL 103.283855 176.226701 \nL 100.447645 176.15752 \nL 97.408369 175.910471 \nL 94.167776 175.44886 \nL 90.733866 174.729976 \nL 87.122915 173.70496 \nL 83.361878 172.319116 \nL 79.491111 170.512958 \nL 75.567262 168.224259 \nL 71.666097 165.391534 \nL 67.884825 161.959275 \nL 64.343276 157.885263 \nL 61.183089 153.149981 \nL 58.563937 147.767725 \nL 56.655845 141.79823 \nL 55.626987 135.356851 \nL 55.627226 128.620311 \nL 56.768842 121.824708 \nL 59.107403 115.252897 \nL 62.626927 109.210319 \nL 67.233609 103.991401 \nL 72.761072 99.842269 \nL 78.987357 96.927933 \nL 85.660466 95.31203 \nL 92.526877 94.954114 \nL 99.356856 95.724376 \nL 105.962025 97.430881 \nL 112.203441 99.851626 \nL 117.991194 102.764024 \nL 123.278205 105.966892 \nL 128.051209 109.293127 \nL 132.321393 112.614047 \nL 136.116147 115.837667 \nL 139.472537 118.903458 \nL 145.039812 124.437478 \nL 149.366815 129.11967 \nL 158.934653 139.777277 \nL 160.960412 141.548598 \nL 162.939643 142.871457 \nL 164.964294 143.780228 \nL 167.100629 144.294255 \nL 169.392299 144.421117 \nL 171.861547 144.160287 \nL 174.508492 143.507549 \nL 177.308638 142.46051 \nL 180.209069 141.025578 \nL 183.124161 139.226531 \nL 185.932325 137.114234 \nL 188.476079 134.776051 \nL 190.568326 132.342175 \nL 191.382152 131.141749 \nL 192.007804 129.984723 \nL 192.422193 128.897103 \nL 192.605123 127.905168 \nL 192.540501 127.034302 \nL 192.217481 126.307709 \nL 191.631471 125.745094 \nL 190.784875 125.36143 \nL 189.687461 125.165974 \nL 188.356292 125.161591 \nL 186.815202 125.344613 \nL 185.093819 125.705131 \nL 181.2493 126.892976 \nL 177.119289 128.560136 \nL 172.993609 130.520762 \nL 169.114063 132.609468 \nL 165.652893 134.705141 \nL 162.710946 136.734825 \nL 160.329132 138.663983 \nL 158.50551 140.481795 \nL 157.212248 142.18784 \nL 156.409531 143.782919 \nL 156.055551 145.264005 \nL 156.112927 146.622268 \nL 156.552303 147.84274 \nL 157.353887 148.904672 \nL 158.507585 149.78194 \nL 160.012109 150.443203 \nL 161.873266 150.851795 \nL 164.101398 150.965491 \nL 166.707778 150.736448 \nL 169.69957 150.111846 \nL 173.072843 149.035875 \nL 176.803099 147.454202 \nL 180.832927 145.322178 \nL 185.057025 142.618249 \nL 187.19193 141.056109 \nL 189.3061 139.363596 \nL 191.366165 137.554175 \nL 193.333535 135.647236 \nL 195.164682 133.668822 \nL 196.811808 131.652083 \nL 198.224008 129.637323 \nL 199.349025 127.671502 \nL 200.135572 125.806975 \nL 200.536223 124.099426 \nL 200.51069 122.60494 \nL 200.029278 121.376344 \nL 199.076116 120.459068 \nL 197.651762 119.887066 \nL 195.77473 119.679295 \nL 193.481565 119.8374 \nL 190.825306 120.34512 \nL 187.872383 121.169641 \nL 184.698295 122.264768 \nL 181.382602 123.575498 \nL 174.635311 126.610842 \nL 168.174696 129.848487 \nL 162.378404 132.986905 \nL 157.44204 135.878123 \nL 153.413227 138.494142 \nL 150.242719 140.87282 \nL 147.830594 143.072716 \nL 146.059391 145.146651 \nL 144.814419 147.131291 \nL 143.994445 149.046398 \nL 143.516131 150.898336 \nL 143.314786 152.68448 \nL 143.34323 154.396982 \nL 143.569851 156.025372 \nL 143.976524 157.558046 \nL 144.556765 158.982811 \nL 145.314278 160.28677 \nL 146.261948 161.455721 \nL 147.421269 162.473155 \nL 148.822147 163.318944 \nL 150.502961 163.967664 \nL 152.51074 164.386529 \nL 154.901204 164.532873 \nL 157.738305 164.351125 \nL 161.09265 163.769384 \nL 165.037814 162.695878 \nL 169.643057 161.016201 \nL 172.210598 159.906956 \nL 174.960146 158.593116 \nL 177.891817 157.054906 \nL 181.001195 155.272445 \nL 184.2779 153.226723 \nL 187.703883 150.900972 \nL 191.251464 148.282545 \nL 194.881192 145.365371 \nL 198.539597 142.153057 \nL 202.157088 138.662591 \nL 205.646254 134.928522 \nL 208.901054 131.007266 \nL 211.797467 126.98098 \nL 214.196302 122.960063 \nL 215.948873 119.083078 \nL 216.9061 115.512711 \nL 216.931134 112.426447 \nL 215.914872 110.001299 \nL 213.79256 108.393309 \nL 210.55866 107.714307 \nL 206.276312 108.010571 \nL 201.077942 109.249105 \nL 195.155193 111.316651 \nL 188.739081 114.033571 \nL 182.074169 117.18026 \nL 168.892391 123.876903 \nL 156.998032 129.977111 \nL 147.046777 134.820134 \nL 139.108216 138.40348 \nL 124.49285 144.760778 \nL 121.558524 146.290623 \nL 118.032637 148.445448 \nL 112.011583 152.334103 \nL 109.896381 153.404727 \nL 107.612045 154.28924 \nL 105.121908 154.933303 \nL 102.41014 155.275399 \nL 99.484254 155.246467 \nL 97.950845 155.069441 \nL 96.379712 154.770992 \nL 94.780673 154.341293 \nL 93.166094 153.770824 \nL 91.551077 153.050742 \nL 89.953579 152.173382 \nL 88.39447 151.132834 \nL 86.897456 149.925646 \nL 85.488858 148.55159 \nL 84.197191 147.014482 \nL 83.052529 145.323011 \nL 82.085612 143.491472 \nL 81.326716 141.540344 \nL 80.804312 139.496573 \nL 80.543541 137.393505 \nL 80.564659 135.270314 \nL 80.881515 133.170909 \nL 81.500261 131.142301 \nL 82.418418 129.232502 \nL 83.624449 127.488102 \nL 85.097928 125.951706 \nL 86.810311 124.659562 \nL 88.726284 123.639541 \nL 90.805543 122.909769 \nL 93.004844 122.478021 \nL 95.280114 122.341903 \nL 97.588427 122.489781 \nL 99.889695 122.902288 \nL 102.147969 123.554177 \nL 104.332285 124.41634 \nL 106.417093 125.457706 \nL 108.382312 126.646969 \nL 110.213085 127.953949 \nL 111.899311 129.350606 \nL 113.435056 130.811686 \nL 114.817892 132.315074 \nL 116.048239 133.841875 \nL 117.128722 135.37631 \nL 118.063599 136.905495 \nL 119.518726 139.909182 \nL 120.462715 142.795608 \nL 120.945533 145.533063 \nL 121.011267 148.10645 \nL 120.694365 150.510235 \nL 120.017962 152.743143 \nL 118.993607 154.804204 \nL 117.621892 156.689551 \nL 115.893767 158.389612 \nL 113.792473 159.88625 \nL 111.296295 161.149581 \nL 108.382546 162.134295 \nL 106.76311 162.502764 \nL 105.033399 162.775449 \nL 103.193343 162.94045 \nL 101.244438 162.984125 \nL 99.190234 162.891028 \nL 97.036891 162.643909 \nL 94.793812 162.223816 \nL 92.474346 161.610322 \nL 90.096534 160.781963 \nL 87.683863 159.716881 \nL 85.265977 158.393813 \nL 82.879259 156.79339 \nL 80.56718 154.899851 \nL 78.38027 152.703155 \nL 76.375573 150.201433 \nL 74.615411 147.40366 \nL 73.165315 144.332326 \nL 72.091061 141.025743 \nL 71.454846 137.53957 \nL 71.310764 133.947047 \nL 71.699995 130.337455 \nL 72.646218 126.812513 \nL 74.151958 123.480681 \nL 76.196485 120.449762 \nL 78.735817 117.818549 \nL 81.705027 115.668708 \nL 85.022677 114.058138 \nL 88.596779 113.016799 \nL 92.331457 112.545731 \nL 96.133383 112.619186 \nL 99.917179 113.189386 \nL 103.609305 114.192877 \nL 107.150218 115.557387 \nL 110.494982 117.208232 \nL 113.612604 119.073502 \nL 116.484554 121.087813 \nL 119.102812 123.194448 \nL 121.467785 125.346286 \nL 123.586315 127.505666 \nL 125.469895 129.643645 \nL 127.133145 131.738863 \nL 128.592594 133.776303 \nL 130.970104 137.642261 \nL 132.741254 141.20477 \nL 134.034027 144.464382 \nL 134.958429 147.440541 \nL 135.604484 150.160584 \nL 136.202093 153.823825 \nL 136.500209 157.067084 \nL 136.609763 160.867455 \nL 136.506539 164.19285 \nL 136.237668 167.143065 \nL 135.795263 169.793147 \nL 135.129788 172.204504 \nL 134.431001 173.889775 \nL 133.498665 175.494579 \nL 132.253472 177.041133 \nL 131.197575 178.050148 \nL 129.914259 179.047639 \nL 128.353325 180.036844 \nL 126.453677 181.017605 \nL 124.141406 181.983852 \nL 121.327971 182.91955 \nL 117.908931 183.7923 \nL 113.764213 184.543405 \nL 108.761711 185.072785 \nL 105.896522 185.206464 \nL 102.76754 185.216848 \nL 99.361439 185.068523 \nL 95.668691 184.717807 \nL 91.685647 184.111446 \nL 87.417264 183.185391 \nL 82.880591 181.863933 \nL 78.109126 180.059497 \nL 73.157985 177.673682 \nL 68.109731 174.600235 \nL 63.080407 170.730917 \nL 58.224823 165.96531 \nL 53.739686 160.225438 \nL 49.862403 153.475648 \nL 46.863013 145.746764 \nL 45.026643 137.161527 \nL 44.625223 127.955481 \nL 45.879668 118.484864 \nL 48.917971 109.212372 \nL 53.738959 100.664631 \nL 60.193553 93.363241 \nL 67.993064 87.742194 \nL 76.746336 84.073438 \nL 86.017279 82.423502 \nL 95.386788 82.654764 \nL 104.502482 84.468871 \nL 113.105933 87.475695 \nL 121.036509 91.265342 \nL 128.218195 95.46511 \nL 134.638344 99.772902 \nL 140.325886 103.96808 \nL 145.333306 107.906295 \nL 153.562699 114.731168 \nL 166.518133 125.65092 \nL 171.989155 129.924119 \nL 176.972223 133.638386 \nL 177.043195 134.007352 \nL 176.838554 134.350263 \nL 175.997261 135.101332 \nL 175.01597 136.071205 \nL 174.70545 136.681726 \nL 174.745669 136.955527 \nL 174.964657 137.131207 \nL 175.513467 137.183745 \nL 176.292267 137.011625 \nL 177.421877 136.500367 \nL 178.463683 135.759499 \nL 179.032051 135.125245 \nL 179.225195 134.582235 \nL 179.080911 134.303527 \nL 178.689758 134.175129 \nL 178.084265 134.214736 \nL 177.047571 134.522407 \nL 175.920601 135.067957 \nL 174.901531 135.756979 \nL 174.161889 136.478521 \nL 173.820731 137.123501 \nL 173.862905 137.498393 \nL 174.163408 137.741843 \nL 174.704392 137.827559 \nL 175.449957 137.738677 \nL 176.667455 137.342327 \nL 177.979567 136.65997 \nL 179.172626 135.779944 \nL 180.01777 134.847112 \nL 180.301347 134.221541 \nL 180.290774 133.882993 \nL 180.112088 133.630616 \nL 179.768313 133.479515 \nL 178.973062 133.461281 \nL 177.915521 133.69408 \nL 176.29312 134.344004 \nL 174.703401 135.262966 \nL 173.419748 136.293652 \nL 172.781223 137.046294 \nL 172.479741 137.715811 \nL 172.478514 138.090246 \nL 172.638569 138.39117 \nL 172.956047 138.60652 \nL 173.708483 138.746785 \nL 174.750533 138.64496 \nL 176.014726 138.288412 \nL 177.410032 137.6837 \nL 178.821556 136.862495 \nL 180.113912 135.886271 \nL 181.140763 134.847022 \nL 181.762288 133.861007 \nL 181.895485 133.295383 \nL 181.779508 132.844189 \nL 181.409169 132.536223 \nL 180.795085 132.39134 \nL 179.963734 132.418462 \nL 178.401129 132.773006 \nL 176.621025 133.4549 \nL 174.820936 134.377331 \nL 173.185301 135.439548 \nL 171.862394 136.544056 \nL 170.954771 137.605221 \nL 170.610856 138.252208 \nL 170.486115 138.828464 \nL 170.582332 139.316591 \nL 170.896161 139.700396 \nL 171.419774 139.964778 \nL 172.141114 140.095929 \nL 173.043733 140.081766 \nL 174.689296 139.768107 \nL 176.59614 139.091179 \nL 178.63124 138.064562 \nL 180.621506 136.743336 \nL 182.357515 135.234198 \nL 183.260788 134.200772 \nL 183.883943 133.212125 \nL 184.170954 132.330181 \nL 184.082241 131.614783 \nL 183.890743 131.335994 \nL 183.215634 130.961325 \nL 182.174845 130.850115 \nL 180.820826 131.007105 \nL 179.228714 131.416137 \nL 177.488392 132.043865 \nL 174.807468 133.296685 \nL 172.304478 134.776863 \nL 170.21301 136.335419 \nL 169.12554 137.358481 \nL 168.315929 138.335934 \nL 167.797909 139.244644 \nL 167.575958 140.064135 \nL 167.647962 140.7752 \nL 168.007281 141.358952 \nL 168.644057 141.796308 \nL 169.545717 142.067986 \nL 170.696671 142.15487 \nL 172.077274 142.03889 \nL 173.662142 141.704365 \nL 175.417925 141.139921 \nL 177.30078 140.341072 \nL 179.253861 139.313387 \nL 181.205356 138.076096 \nL 183.067806 136.665699 \nL 184.739647 135.138725 \nL 186.109867 133.572488 \nL 187.066551 132.062467 \nL 187.509166 130.715207 \nL 187.513028 130.136097 \nL 187.363369 129.636492 \nL 187.057389 129.227014 \nL 186.595552 128.916345 \nL 185.981754 128.710801 \nL 185.22335 128.61407 \nL 183.318406 128.747818 \nL 180.999458 129.292433 \nL 178.416775 130.186623 \nL 175.731846 131.34712 \nL 173.097521 132.684949 \nL 170.643107 134.118861 \nL 168.466514 135.583055 \nL 166.633172 137.028934 \nL 165.179854 138.422603 \nL 164.121051 139.740367 \nL 163.455933 140.964111 \nL 163.174602 142.077576 \nL 163.262991 143.063811 \nL 163.706234 143.903751 \nL 164.490555 144.575562 \nL 165.603839 145.054539 \nL 167.035033 145.3134 \nL 168.772463 145.322954 \nL 170.801123 145.053266 \nL 173.098905 144.475613 \nL 175.631814 143.565491 \nL 178.348308 142.307112 \nL 181.173185 140.699651 \nL 184.001905 138.765176 \nL 186.696967 136.557582 \nL 189.088627 134.170686 \nL 190.982891 131.74236 \nL 191.680398 130.566999 \nL 192.179279 129.450335 \nL 192.458094 128.418104 \nL 192.498965 127.495693 \nL 192.288727 126.706932 \nL 191.820002 126.072786 \nL 191.092025 125.610093 \nL 190.111179 125.330476 \nL 188.891124 125.239537 \nL 187.452468 125.336484 \nL 185.822005 125.614205 \nL 184.031531 126.059861 \nL 180.113759 127.381257 \nL 175.994644 129.128051 \nL 171.950589 131.119208 \nL 168.203129 133.201936 \nL 164.903272 135.269512 \nL 162.133867 137.26081 \nL 159.922947 139.148728 \nL 158.260863 140.925741 \nL 157.11634 142.591822 \nL 156.449158 144.146528 \nL 156.219034 145.58496 \nL 156.391148 146.896313 \nL 156.939111 148.063774 \nL 157.846067 149.064917 \nL 159.104516 149.87203 \nL 160.715177 150.452193 \nL 162.685019 150.767142 \nL 165.024403 150.773096 \nL 167.74306 150.420898 \nL 170.844482 149.65706 \nL 174.318226 148.426486 \nL 178.129613 146.678015 \nL 182.20662 144.374152 \nL 186.424576 141.506304 \nL 188.529207 139.871243 \nL 190.590802 138.116098 \nL 192.572886 136.258136 \nL 194.434029 134.320949 \nL 196.128369 132.334982 \nL 197.606616 130.337721 \nL 198.81757 128.373371 \nL 199.710227 126.491885 \nL 200.236431 124.747191 \nL 200.353987 123.194591 \nL 200.030004 121.887405 \nL 199.244158 120.873059 \nL 197.991481 120.189024 \nL 196.284227 119.859157 \nL 194.152453 119.890998 \nL 191.643044 120.274594 \nL 188.817182 120.983162 \nL 185.74649 121.975618 \nL 182.508309 123.200603 \nL 175.838016 126.121142 \nL 169.363636 129.313583 \nL 163.489801 132.455429 \nL 158.441216 135.374311 \nL 154.289245 138.023612 \nL 151.000626 140.430936 \nL 148.484453 142.651336 \nL 146.627229 144.738043 \nL 145.315041 146.729686 \nL 144.445689 148.648146 \nL 143.934086 150.501409 \nL 143.71362 152.287812 \nL 143.735351 153.999875 \nL 143.966246 155.62702 \nL 144.387167 157.157196 \nL 144.991038 158.577527 \nL 145.78136 159.87423 \nL 146.771176 161.032028 \nL 147.982441 162.033136 \nL 149.445765 162.855883 \nL 151.200387 163.472969 \nL 153.294221 163.849326 \nL 155.783695 163.939514 \nL 158.732961 163.684664 \nL 162.211774 163.009096 \nL 166.290981 161.81707 \nL 171.033945 159.990698 \nL 173.668571 158.796912 \nL 176.481508 157.39117 \nL 179.470312 155.754225 \nL 182.627361 153.867271 \nL 185.938324 151.713086 \nL 189.380391 149.277634 \nL 192.920277 146.552162 \nL 196.512118 143.535912 \nL 200.095367 140.239403 \nL 203.592978 136.688246 \nL 206.91023 132.927224 \nL 209.934667 129.024245 \nL 212.537799 125.073385 \nL 214.579235 121.196054 \nL 215.913828 117.539021 \nL 216.402196 114.267957 \nL 215.924324 111.555611 \nL 214.395123 109.564561 \nL 211.779742 108.426023 \nL 208.105458 108.218206 \nL 203.46674 108.949112 \nL 198.020837 110.54913 \nL 191.973422 112.877021 \nL 185.556462 115.739265 \nL 179.00294 118.918568 \nL 150.116674 133.560129 \nL 141.781136 137.446525 \nL 126.323233 144.357358 \nL 123.250588 145.984015 \nL 120.737166 147.516937 \nL 116.5759 150.431205 \nL 113.635784 152.444362 \nL 111.569393 153.64488 \nL 109.337372 154.681221 \nL 106.893101 155.501933 \nL 104.209151 156.047796 \nL 101.279157 156.250717 \nL 99.726679 156.199751 \nL 98.122129 156.033406 \nL 96.472913 155.740874 \nL 94.788926 155.311199 \nL 93.082805 154.733568 \nL 91.370164 153.997708 \nL 89.669794 153.094414 \nL 88.00376 152.016182 \nL 86.397378 150.757988 \nL 84.879039 149.318164 \nL 83.479795 147.699361 \nL 82.232703 145.909513 \nL 81.171881 143.962761 \nL 80.331263 141.880189 \nL 79.743074 139.690277 \nL 79.436108 137.428914 \nL 79.433897 135.138867 \nL 79.752911 132.868607 \nL 80.401013 130.670477 \nL 81.376292 128.598296 \nL 82.666524 126.704497 \nL 84.249302 125.037154 \nL 86.092925 123.637108 \nL 88.157958 122.535591 \nL 90.399338 121.752606 \nL 92.76877 121.296198 \nL 95.217205 121.162734 \nL 97.697143 121.338059 \nL 100.164561 121.799322 \nL 102.580364 122.517216 \nL 104.911304 123.458369 \nL 107.130384 124.587568 \nL 109.216834 125.869737 \nL 111.155748 127.27146 \nL 112.937491 128.762065 \nL 114.556978 130.314299 \nL 116.012891 131.904615 \nL 117.306918 133.5132 \nL 118.443031 135.12379 \nL 119.426842 136.72334 \nL 120.964958 139.851005 \nL 121.979978 142.841623 \nL 122.529924 145.667689 \nL 122.665281 148.318819 \nL 122.425339 150.794289 \nL 121.836699 153.097644 \nL 120.913134 155.232847 \nL 119.656253 157.201319 \nL 118.05667 158.999392 \nL 116.095612 160.615769 \nL 113.74706 162.028612 \nL 110.980795 163.202027 \nL 109.4315 163.682832 \nL 107.766929 164.081705 \nL 105.984521 164.388143 \nL 104.082773 164.589833 \nL 102.061669 164.672494 \nL 99.923184 164.619755 \nL 97.671889 164.413077 \nL 95.315644 164.031781 \nL 92.866395 163.453194 \nL 90.341037 162.652997 \nL 87.762339 161.605833 \nL 85.159843 160.286228 \nL 82.57069 158.669935 \nL 80.040237 156.735747 \nL 77.622294 154.467828 \nL 75.378828 151.858517 \nL 73.378882 148.911532 \nL 71.69655 145.645332 \nL 70.407827 142.096234 \nL 69.586326 138.320818 \nL 69.298011 134.396902 \nL 69.595329 130.422497 \nL 70.51142 126.512217 \nL 72.0552 122.79094 \nL 74.208232 119.385068 \nL 76.924166 116.412321 \nL 80.131071 113.97143 \nL 83.736558 112.133444 \nL 87.634992 110.936064 \nL 91.715712 110.38198 \nL 95.871007 110.441322 \nL 100.002819 111.057499 \nL 104.02747 112.155185 \nL 107.878186 113.64892 \nL 111.505656 115.451057 \nL 114.877006 117.478119 \nL 117.973812 119.655186 \nL 120.789611 121.918334 \nL 123.32733 124.21542 \nL 125.596879 126.505685 \nL 127.613067 128.758621 \nL 129.39387 130.952439 \nL 132.329158 135.109671 \nL 134.565423 138.919497 \nL 136.257294 142.376147 \nL 137.540815 145.49991 \nL 138.943938 149.629687 \nL 142.025047 159.758624 \nL 143.059628 161.958828 \nL 143.878994 163.238115 \nL 144.837982 164.366225 \nL 145.970552 165.33662 \nL 147.315202 166.13713 \nL 148.916404 166.748841 \nL 150.825896 167.144517 \nL 153.103728 167.286377 \nL 155.818831 167.123213 \nL 159.048605 166.586773 \nL 162.87673 165.587612 \nL 167.387783 164.010954 \nL 172.656472 161.714026 \nL 175.591037 160.243463 \nL 178.728192 158.527869 \nL 182.06372 156.543953 \nL 185.586569 154.269241 \nL 189.276805 151.683714 \nL 193.103239 148.772072 \nL 197.020774 145.526733 \nL 200.967646 141.951688 \nL 204.862782 138.06713 \nL 208.603686 133.914706 \nL 212.065445 129.562989 \nL 215.101638 125.112311 \nL 217.548071 120.69776 \nL 219.230323 116.488607 \nL 219.975762 112.682302 \nL 219.630145 109.491251 \nL 218.077653 107.121729 \nL 215.261733 105.746267 \nL 211.202472 105.473704 \nL 206.005443 106.323845 \nL 199.857812 108.214811 \nL 193.010242 110.969179 \nL 185.747453 114.339656 \nL 178.354067 118.048458 \nL 157.659389 128.793477 \nL 151.729253 131.734059 \nL 146.381817 134.256392 \nL 137.397482 138.133751 \nL 130.439762 140.790364 \nL 116.372264 145.873867 \nL 111.800563 147.938655 \nL 107.83964 149.676668 \nL 105.841788 150.343475 \nL 103.762032 150.816642 \nL 101.579313 151.047837 \nL 99.29636 150.987539 \nL 96.940013 150.58722 \nL 94.562288 149.802902 \nL 92.241209 148.600814 \nL 91.133285 147.837273 \nL 90.080082 146.965419 \nL 89.097829 145.98781 \nL 88.203596 144.909454 \nL 87.414885 143.738096 \nL 86.749139 142.484482 \nL 86.223149 141.162486 \nL 85.852407 139.789133 \nL 85.650398 138.384432 \nL 85.627911 136.971031 \nL 85.79238 135.573675 \nL 86.147335 134.21846 \nL 86.691982 132.931922 \nL 87.421 131.740015 \nL 88.324536 130.667032 \nL 89.388478 129.73458 \nL 90.594907 128.960656 \nL 91.92278 128.358926 \nL 93.348753 127.93827 \nL 94.848078 127.702608 \nL 96.395522 127.651016 \nL 97.966243 127.778106 \nL 99.536551 128.074621 \nL 101.084533 128.528166 \nL 102.590515 129.124032 \nL 104.037365 129.845998 \nL 105.410619 130.677097 \nL 106.698489 131.600278 \nL 108.983541 133.657442 \nL 110.845559 135.897023 \nL 112.266769 138.219284 \nL 113.249413 140.546714 \nL 113.807421 142.821717 \nL 113.959751 145.002434 \nL 113.725676 147.058106 \nL 113.121852 148.964652 \nL 112.160951 150.700742 \nL 110.851603 152.244347 \nL 109.199528 153.569723 \nL 107.209786 154.644725 \nL 104.890235 155.428463 \nL 102.256338 155.869501 \nL 100.829947 155.942317 \nL 99.337491 155.905043 \nL 97.78611 155.748207 \nL 96.18487 155.461913 \nL 94.545055 155.036057 \nL 92.880459 154.460641 \nL 91.207641 153.726189 \nL 89.546121 152.824271 \nL 87.918502 151.748168 \nL 86.350442 150.493632 \nL 84.87046 149.059754 \nL 83.509545 147.449906 \nL 82.300475 145.672685 \nL 81.276894 143.742785 \nL 80.472073 141.6817 \nL 79.91742 139.51811 \nL 79.640801 137.287852 \nL 79.664764 135.033349 \nL 80.004822 132.802408 \nL 80.66798 130.646416 \nL 81.651659 128.617947 \nL 82.943216 126.768014 \nL 84.520133 125.143167 \nL 86.350926 123.782762 \nL 88.396685 122.716699 \nL 90.613141 121.963886 \nL 92.952993 121.531629 \nL 95.368313 121.415926 \nL 97.812744 121.602619 \nL 100.24337 122.069178 \nL 102.622092 122.786891 \nL 104.9165 123.723128 \nL 107.10027 124.843531 \nL 109.153128 126.113891 \nL 111.060493 127.501609 \nL 112.812912 128.976757 \nL 114.405351 130.512709 \nL 115.836451 132.086431 \nL 117.107775 133.678511 \nL 118.22312 135.27297 \nL 119.187885 136.856974 \nL 120.692139 139.955726 \nL 121.677314 142.920515 \nL 122.199578 145.723557 \nL 122.307755 148.353844 \nL 122.039727 150.809817 \nL 121.420943 153.094078 \nL 120.464275 155.209514 \nL 119.170694 157.156304 \nL 117.530486 158.929329 \nL 115.524924 160.515528 \nL 113.128576 161.890921 \nL 110.312582 163.016986 \nL 108.738417 163.469449 \nL 107.049533 163.836296 \nL 105.243935 164.106569 \nL 103.320821 164.267495 \nL 101.28103 164.304343 \nL 99.127575 164.200322 \nL 96.866256 163.936556 \nL 94.506375 163.492154 \nL 92.061533 162.844433 \nL 89.550479 161.969342 \nL 86.99801 160.842176 \nL 84.435801 159.43861 \nL 81.903137 157.736182 \nL 79.447373 155.716212 \nL 77.123968 153.366235 \nL 74.99594 150.682843 \nL 73.132497 147.674842 \nL 71.606684 144.366422 \nL 70.49195 140.79995 \nL 69.857681 137.037816 \nL 69.763881 133.162723 \nL 70.255501 129.275845 \nL 71.357096 125.492473 \nL 73.068612 121.935083 \nL 75.363174 118.724401 \nL 78.187426 115.969445 \nL 81.464686 113.758035 \nL 85.100575 112.149286 \nL 88.990317 111.16935 \nL 93.026654 110.811072 \nL 97.107213 111.037387 \nL 101.140401 111.787653 \nL 105.049345 112.98555 \nL 108.773755 114.547232 \nL 112.27001 116.388546 \nL 115.509906 118.430599 \nL 118.47859 120.603452 \nL 121.172131 122.848015 \nL 123.595093 125.116478 \nL 125.758289 127.371741 \nL 127.676858 129.586214 \nL 129.368684 131.740342 \nL 132.150173 135.820539 \nL 134.260278 139.562211 \nL 135.847185 142.962542 \nL 137.040372 146.042313 \nL 138.322171 150.127831 \nL 139.737838 155.768273 \nL 140.923033 160.272095 \nL 141.73522 162.528123 \nL 142.728496 164.479057 \nL 143.533967 165.611928 \nL 144.487465 166.606111 \nL 145.622218 167.452759 \nL 146.977028 168.137654 \nL 148.597592 168.639932 \nL 150.537773 168.930267 \nL 152.860682 168.968407 \nL 155.639301 168.699964 \nL 158.956143 168.052368 \nL 162.901033 166.930189 \nL 167.565484 165.210371 \nL 173.031205 162.738934 \nL 176.082488 161.164969 \nL 179.349052 159.33249 \nL 182.826604 157.216017 \nL 186.503406 154.790899 \nL 190.357978 152.035138 \nL 194.356442 148.931926 \nL 198.44953 145.473068 \nL 202.569469 141.663334 \nL 206.626989 137.52577 \nL 210.508965 133.107713 \nL 214.07735 128.487023 \nL 217.170383 123.777541 \nL 219.607127 119.132262 \nL 221.196496 114.742185 \nL 221.751554 110.828515 \nL 221.109067 107.626257 \nL 219.152763 105.358582 \nL 215.836819 104.204022 \nL 211.204323 104.26218 \nL 205.394604 105.526755 \nL 198.634846 107.875497 \nL 191.215411 111.083336 \nL 183.453516 114.857633 \nL 168.077522 122.886335 \nL 154.309747 129.992976 \nL 148.311918 132.888644 \nL 142.943043 135.315625 \nL 138.184718 137.307586 \nL 130.327135 140.221722 \nL 124.316706 142.133837 \nL 110.902124 146.155955 \nL 105.979404 147.784809 \nL 104.146836 148.234092 \nL 102.305271 148.513492 \nL 100.433904 148.584156 \nL 98.535088 148.409107 \nL 96.632682 147.955889 \nL 94.770742 147.1999 \nL 93.011789 146.128699 \nL 91.433813 144.747241 \nL 90.125129 143.083405 \nL 89.600329 142.161751 \nL 89.176565 141.192597 \nL 88.863863 140.187505 \nL 88.670993 139.159778 \nL 88.605076 138.124246 \nL 88.67122 137.096964 \nL 88.872211 136.09481 \nL 89.208264 135.135007 \nL 89.676877 134.234578 \nL 90.272786 133.409771 \nL 90.988059 132.675501 \nL 91.812271 132.044825 \nL 92.732831 131.5285 \nL 93.73536 131.134632 \nL 94.804164 130.868483 \nL 95.922724 130.732405 \nL 97.074198 130.725913 \nL 98.241904 130.845876 \nL 99.409741 131.086828 \nL 101.686433 131.900403 \nL 103.798961 133.091125 \nL 105.666238 134.571891 \nL 107.232005 136.255087 \nL 108.46212 138.060171 \nL 109.340077 139.917566 \nL 109.862038 141.769578 \nL 110.032289 143.569305 \nL 109.859605 145.278423 \nL 109.354735 146.864531 \nL 108.529036 148.298432 \nL 107.394222 149.551633 \nL 105.963154 150.594133 \nL 104.251627 151.392641 \nL 102.281122 151.909409 \nL 100.08247 152.10185 \nL 97.700285 151.923496 \nL 95.197806 151.326728 \nL 93.927465 150.857483 \nL 92.661485 150.268062 \nL 91.414818 149.555049 \nL 90.204094 148.716518 \nL 89.047518 147.752455 \nL 87.964655 146.665227 \nL 86.976106 145.460031 \nL 86.103046 144.145321 \nL 85.366647 142.733168 \nL 84.787356 141.239485 \nL 84.384101 139.684098 \nL 84.173403 138.090589 \nL 84.168489 136.485894 \nL 84.378456 134.899609 \nL 84.807556 133.363057 \nL 85.454671 131.908101 \nL 86.313068 130.565821 \nL 87.370427 129.365109 \nL 88.609212 128.331335 \nL 90.00733 127.485168 \nL 91.539041 126.841719 \nL 93.176061 126.410003 \nL 94.888734 126.192813 \nL 96.647215 126.187009 \nL 98.42254 126.384088 \nL 100.187553 126.771083 \nL 101.917621 127.331563 \nL 103.591111 128.046718 \nL 105.189672 128.896404 \nL 106.698303 129.860078 \nL 108.105246 130.917579 \nL 109.401786 132.049743 \nL 110.58193 133.238831 \nL 112.580537 135.725414 \nL 114.093751 138.27081 \nL 115.134599 140.796316 \nL 115.726618 143.246676 \nL 115.896412 145.584349 \nL 115.668605 147.783744 \nL 115.062855 149.826148 \nL 114.09253 151.69541 \nL 112.76472 153.374287 \nL 111.081369 154.841211 \nL 109.041487 156.067351 \nL 106.644536 157.013811 \nL 103.895253 157.629079 \nL 102.392988 157.792461 \nL 100.810224 157.847069 \nL 99.152298 157.782261 \nL 97.426483 157.586549 \nL 95.642354 157.247748 \nL 93.812193 156.753237 \nL 91.951363 156.090315 \nL 90.078682 155.246708 \nL 88.216702 154.211227 \nL 86.391908 152.974601 \nL 84.634735 151.530471 \nL 82.979375 149.876556 \nL 81.463279 148.015904 \nL 80.126316 145.958194 \nL 79.009556 143.720952 \nL 78.153618 141.330525 \nL 77.596679 138.822632 \nL 77.372191 136.242305 \nL 77.506497 133.64306 \nL 78.016552 131.085156 \nL 78.908022 128.632985 \nL 80.174004 126.351681 \nL 81.794633 124.303246 \nL 83.737673 122.542595 \nL 85.960094 121.114003 \nL 88.410488 120.04834 \nL 91.032097 119.361555 \nL 93.766048 119.054411 \nL 96.554492 119.113619 \nL 99.343314 119.513958 \nL 102.08422 120.221177 \nL 104.736094 121.19512 \nL 107.265657 122.392831 \nL 109.647494 123.771238 \nL 111.863619 125.289274 \nL 113.902705 126.909403 \nL 115.759137 128.598502 \nL 117.431999 130.32827 \nL 118.924078 132.075215 \nL 120.240947 133.82038 \nL 121.390144 135.548896 \nL 123.221494 138.913723 \nL 124.494382 142.112118 \nL 125.28372 145.118987 \nL 125.655177 147.929232 \nL 125.661198 150.548874 \nL 125.339535 152.989086 \nL 124.713272 155.262268 \nL 123.791596 157.379394 \nL 122.570879 159.348035 \nL 121.035861 161.170617 \nL 119.160874 162.842508 \nL 116.911283 164.3496 \nL 114.245433 165.665034 \nL 111.117693 166.744801 \nL 109.366436 167.176468 \nL 107.48344 167.521939 \nL 105.464622 167.768084 \nL 103.307234 167.899393 \nL 101.010417 167.89773 \nL 98.575879 167.742131 \nL 96.008706 167.408666 \nL 93.318326 166.870429 \nL 90.51961 166.097718 \nL 87.6341 165.058499 \nL 84.691308 163.719255 \nL 81.730022 162.04635 \nL 78.799446 160.008001 \nL 75.960029 157.577037 \nL 73.283676 154.734417 \nL 70.853061 151.473501 \nL 68.759688 147.804875 \nL 67.100386 143.761244 \nL 65.972072 139.401714 \nL 65.464824 134.814519 \nL 65.653707 130.11707 \nL 66.590196 125.452357 \nL 68.294469 120.981104 \nL 70.750015 116.869871 \nL 73.901911 113.276331 \nL 77.659548 110.333821 \nL 81.903748 108.137956 \nL 86.497219 106.737767 \nL 91.2966 106.13313 \nL 96.164039 106.278632 \nL 100.976625 107.092781 \nL 105.632569 108.470236 \nL 110.054007 110.294703 \nL 114.18684 112.450303 \nL 117.998468 114.830143 \nL 121.474367 117.341635 \nL 124.614271 119.908896 \nL 127.428511 122.472806 \nL 129.934814 124.989572 \nL 132.155675 127.428508 \nL 135.843163 132.000753 \nL 138.700729 136.115078 \nL 140.929171 139.769596 \nL 143.473379 144.460552 \nL 146.703465 150.509656 \nL 147.934017 152.40786 \nL 149.24265 154.039416 \nL 150.691031 155.412121 \nL 152.335834 156.523811 \nL 154.231667 157.361877 \nL 156.433078 157.902473 \nL 158.995463 158.109396 \nL 161.974543 157.932749 \nL 165.423841 157.307718 \nL 169.389249 156.154147 \nL 173.89943 154.378219 \nL 176.359409 153.225152 \nL 178.950393 151.878445 \nL 181.663022 150.326446 \nL 184.482564 148.559382 \nL 187.387748 146.570522 \nL 190.349528 144.357687 \nL 193.329826 141.925032 \nL 196.280401 139.285139 \nL 199.141987 136.461287 \nL 201.843929 133.489763 \nL 204.304612 130.421888 \nL 206.432998 127.325368 \nL 208.131565 124.284443 \nL 209.300956 121.398212 \nL 209.846382 118.776571 \nL 209.685565 116.533381 \nL 208.757629 114.776994 \nL 207.031811 113.598829 \nL 204.514546 113.061619 \nL 201.253302 113.189427 \nL 197.335841 113.961917 \nL 192.884352 115.314702 \nL 188.04503 117.146431 \nL 182.97476 119.331458 \nL 172.741344 124.231299 \nL 158.865778 131.317863 \nL 145.21186 138.428977 \nL 140.423963 141.090213 \nL 136.7173 143.397084 \nL 133.848916 145.502204 \nL 131.594978 147.505526 \nL 129.763116 149.461022 \nL 127.466399 152.345697 \nL 123.880516 156.983438 \nL 122.277866 158.735669 \nL 120.475419 160.399979 \nL 118.412454 161.952369 \nL 116.031042 163.362716 \nL 113.275308 164.59106 \nL 110.092635 165.582763 \nL 108.32652 165.967321 \nL 106.437508 166.262468 \nL 104.422253 166.454403 \nL 102.279064 166.527146 \nL 100.008447 166.462341 \nL 97.613759 166.239125 \nL 95.101992 165.83407 \nL 92.484677 165.22129 \nL 89.778906 164.372754 \nL 87.00842 163.258885 \nL 84.204737 161.84956 \nL 81.4082 160.115607 \nL 78.668802 158.03087 \nL 76.046618 155.574936 \nL 73.611583 152.736521 \nL 71.442363 149.517369 \nL 69.624011 145.936452 \nL 68.244254 142.033938 \nL 67.388298 137.874286 \nL 67.132373 133.547648 \nL 67.53647 129.16862 \nL 68.6372 124.871753 \nL 70.441777 120.803502 \nL 72.924423 117.111107 \nL 76.026082 113.929692 \nL 79.657912 111.369495 \nL 83.708245 109.505494 \nL 88.051979 108.371224 \nL 92.560874 107.957988 \nL 97.113128 108.219212 \nL 101.600962 109.078855 \nL 105.935461 110.441952 \nL 110.048637 112.205345 \nL 113.893125 114.267019 \nL 117.440197 116.53304 \nL 120.67686 118.92188 \nL 123.602625 121.366299 \nL 126.226398 123.813442 \nL 128.563739 126.223649 \nL 130.63458 128.568623 \nL 134.067954 132.994238 \nL 136.715065 137.015617 \nL 138.757714 140.624785 \nL 141.03491 145.32215 \nL 144.720133 153.565787 \nL 145.72604 155.353968 \nL 146.820759 156.921834 \nL 148.05335 158.274357 \nL 149.471194 159.408538 \nL 151.122518 160.312862 \nL 153.058335 160.966362 \nL 155.333729 161.337229 \nL 158.008276 161.380926 \nL 161.145161 161.037937 \nL 164.808315 160.23144 \nL 169.056387 158.865683 \nL 171.414111 157.938025 \nL 173.931874 156.826496 \nL 176.609515 155.51482 \nL 179.443102 153.986703 \nL 182.423789 152.226609 \nL 185.536488 150.220826 \nL 188.758359 147.958921 \nL 192.057141 145.435602 \nL 195.389441 142.653046 \nL 198.699101 139.623673 \nL 201.915847 136.373261 \nL 204.954578 132.944197 \nL 207.715631 129.398481 \nL 210.086555 125.819861 \nL 211.945865 122.314349 \nL 213.16922 119.008139 \nL 213.638167 116.042007 \nL 213.251204 113.561604 \nL 211.936193 111.703679 \nL 209.662448 110.579541 \nL 206.450129 110.258245 \nL 202.374459 110.75309 \nL 197.562799 112.015332 \nL 192.184153 113.937703 \nL 186.43248 116.36805 \nL 180.507021 119.130332 \nL 168.849885 124.965574 \nL 153.667152 132.696029 \nL 139.365316 139.66449 \nL 132.442619 143.161778 \nL 129.092519 145.112282 \nL 126.433235 146.928597 \nL 124.235429 148.682723 \nL 120.512088 152.083252 \nL 117.788617 154.495259 \nL 115.8234 155.987265 \nL 113.65396 157.344438 \nL 111.22292 158.523115 \nL 108.485145 159.470404 \nL 105.409223 160.121014 \nL 103.739401 160.310413 \nL 101.981827 160.393815 \nL 100.138921 160.358163 \nL 98.215389 160.189206 \nL 96.21867 159.871566 \nL 94.15941 159.388941 \nL 92.051987 158.724406 \nL 89.915027 157.860926 \nL 87.771889 156.782046 \nL 85.651065 155.472828 \nL 83.58641 153.921033 \nL 81.61714 152.118604 \nL 79.787464 150.063344 \nL 78.145788 147.760768 \nL 76.743359 145.225962 \nL 75.63232 142.485264 \nL 74.863169 139.577514 \nL 74.481718 136.554509 \nL 74.525718 133.480451 \nL 75.021493 130.430054 \nL 75.980965 127.485266 \nL 77.399497 124.730741 \nL 79.254957 122.248321 \nL 81.508235 120.111265 \nL 84.105305 118.378854 \nL 86.980605 117.09219 \nL 90.061344 116.27175 \nL 93.272177 115.917046 \nL 96.539682 116.008287 \nL 99.796142 116.509678 \nL 102.982341 117.373761 \nL 106.049234 118.546104 \nL 108.958553 119.969744 \nL 111.682554 121.588875 \nL 114.203132 123.351656 \nL 116.510551 125.212003 \nL 118.602014 127.130495 \nL 120.48021 129.074565 \nL 122.151979 131.018188 \nL 123.627113 132.941252 \nL 124.917354 134.828764 \nL 126.995083 138.457834 \nL 128.490744 141.857501 \nL 129.504036 145.015087 \nL 130.121119 147.937886 \nL 130.411475 150.643272 \nL 130.427445 153.152661 \nL 130.205202 155.488031 \nL 129.766305 157.670002 \nL 129.119323 159.716798 \nL 128.261232 161.64367 \nL 127.178454 163.462477 \nL 125.847511 165.181131 \nL 124.235349 166.80274 \nL 122.299449 168.324199 \nL 119.987955 169.733915 \nL 117.240159 171.008344 \nL 113.98794 172.106879 \nL 110.159086 172.964553 \nL 108.006286 173.273715 \nL 105.684009 173.4821 \nL 103.185989 173.569854 \nL 100.508129 173.513282 \nL 97.649433 173.284393 \nL 94.613185 172.850518 \nL 91.408375 172.174057 \nL 88.051423 171.212515 \nL 84.568157 169.918909 \nL 80.996011 168.242812 \nL 77.386325 166.132246 \nL 73.806503 163.536672 \nL 70.341703 160.411416 \nL 67.095546 156.723609 \nL 64.189245 152.459693 \nL 61.758387 147.634108 \nL 59.946729 142.298262 \nL 58.896597 136.548294 \nL 58.736075 130.529514 \nL 59.564068 124.435126 \nL 61.435222 118.497171 \nL 64.347746 112.968862 \nL 68.237199 108.099591 \nL 72.978587 104.106367 \nL 78.39742 101.147249 \nL 84.287979 99.302835 \nL 90.435147 98.569948 \nL 96.635385 98.868701 \nL 102.713028 100.060322 \nL 108.529871 101.970793 \nL 113.987951 104.414807 \nL 119.026972 107.215569 \nL 123.618472 110.218197 \nL 127.758719 113.296498 \nL 131.46177 116.354261 \nL 134.753517 119.322872 \nL 137.666987 122.156973 \nL 142.507104 127.32697 \nL 146.281192 131.787195 \nL 151.710312 138.737267 \nL 154.77961 142.502029 \nL 156.655041 144.43763 \nL 158.533153 145.961653 \nL 160.505473 147.097259 \nL 162.643926 147.852916 \nL 165.003921 148.223904 \nL 167.625537 148.194168 \nL 170.532506 147.738844 \nL 173.728759 146.82801 \nL 177.192331 145.432432 \nL 180.866763 143.532283 \nL 184.650674 141.129617 \nL 188.38734 138.264893 \nL 190.172003 136.687102 \nL 191.857848 135.036043 \nL 193.408166 133.335814 \nL 194.783516 131.615804 \nL 195.942808 129.910499 \nL 196.844803 128.25886 \nL 197.449995 126.703174 \nL 197.722825 125.287313 \nL 197.634086 124.054495 \nL 197.163357 123.044606 \nL 196.301183 122.291318 \nL 195.050726 121.819362 \nL 193.428643 121.642264 \nL 191.46495 121.760931 \nL 189.201804 122.16341 \nL 186.691266 122.825876 \nL 183.99227 123.714808 \nL 178.278002 126.008147 \nL 172.536983 128.703956 \nL 167.158495 131.508186 \nL 162.399613 134.226229 \nL 158.386756 136.76639 \nL 155.144271 139.111691 \nL 152.630593 141.284321 \nL 150.769976 143.31779 \nL 149.475479 145.240903 \nL 148.663481 147.071429 \nL 148.261675 148.815588 \nL 148.212688 150.470085 \nL 148.475018 152.024671 \nL 149.022542 153.464222 \nL 149.843363 154.769955 \nL 150.93847 155.919781 \nL 152.320446 156.887881 \nL 154.012263 157.643673 \nL 156.046067 158.150247 \nL 158.461706 158.362441 \nL 161.304585 158.224704 \nL 164.622199 157.669067 \nL 168.458402 156.61383 \nL 172.844102 154.964123 \nL 175.245693 153.884043 \nL 177.782724 152.616268 \nL 180.447792 151.148312 \nL 183.228614 149.469141 \nL 186.106912 147.570222 \nL 189.057163 145.446889 \nL 192.045334 143.100011 \nL 195.027656 140.537952 \nL 197.949595 137.778827 \nL 200.745216 134.852826 \nL 203.337209 131.804444 \nL 205.637868 128.694237 \nL 207.551377 125.599597 \nL 208.977704 122.61399 \nL 209.818255 119.844002 \nL 209.98326 117.403726 \nL 209.400445 115.406327 \nL 208.024095 113.953237 \nL 205.843177 113.122114 \nL 202.88689 112.955649 \nL 199.226113 113.45351 \nL 194.969789 114.569815 \nL 190.25625 116.217296 \nL 185.240768 118.277887 \nL 180.081476 120.617707 \nL 169.901981 125.615409 \nL 149.313047 136.210274 \nL 141.204385 140.563288 \nL 137.269449 142.929043 \nL 134.227162 145.063005 \nL 131.84641 147.077391 \nL 129.926438 149.035439 \nL 127.553254 151.920221 \nL 123.940135 156.566993 \nL 122.350545 158.327485 \nL 120.571656 160.002655 \nL 118.541791 161.568591 \nL 116.202633 162.995633 \nL 113.498273 164.244856 \nL 110.376123 165.263393 \nL 108.643642 165.664412 \nL 106.790402 165.97862 \nL 104.812891 166.192744 \nL 102.709156 166.291411 \nL 100.479312 166.256955 \nL 98.12617 166.069276 \nL 95.655974 165.705773 \nL 93.079267 165.141418 \nL 90.411871 164.349029 \nL 87.675937 163.299785 \nL 84.901049 161.964162 \nL 82.125263 160.313266 \nL 79.39596 158.320769 \nL 76.770346 155.96544 \nL 74.31538 153.234325 \nL 72.106845 150.126466 \nL 70.22732 146.656958 \nL 68.762811 142.860911 \nL 67.797981 138.796669 \nL 67.410076 134.547575 \nL 67.661956 130.221337 \nL 68.595025 125.946348 \nL 70.223059 121.864579 \nL 72.528088 118.121308 \nL 75.459351 114.852844 \nL 78.935871 112.173864 \nL 82.852518 110.16663 \nL 87.088713 108.873932 \nL 91.518399 108.297031 \nL 96.019645 108.398783 \nL 100.482604 109.110986 \nL 104.814924 110.34431 \nL 108.944427 111.998839 \nL 112.819347 113.9736 \nL 116.406772 116.17395 \nL 119.690001 118.516441 \nL 122.665434 120.93126 \nL 125.33949 123.362724 \nL 127.725818 125.768418 \nL 129.842946 128.117559 \nL 131.712386 130.389026 \nL 134.800795 134.651065 \nL 137.17617 138.508643 \nL 139.011008 141.967529 \nL 141.071692 146.474575 \nL 144.522267 154.42401 \nL 145.498172 156.157118 \nL 146.57099 157.679103 \nL 147.787194 158.993403 \nL 149.192475 160.095791 \nL 150.834104 160.973789 \nL 152.762762 161.605659 \nL 155.033771 161.958916 \nL 157.707509 161.988342 \nL 160.848575 161.633573 \nL 164.523009 160.81657 \nL 168.792366 159.439694 \nL 171.165628 158.505388 \nL 173.702912 157.385858 \nL 176.404655 156.06422 \nL 179.267551 154.523461 \nL 182.283388 152.747185 \nL 185.437691 150.720698 \nL 188.708141 148.432455 \nL 192.062859 145.875961 \nL 195.458585 143.052165 \nL 198.838935 139.97232 \nL 202.132909 136.661253 \nL 205.25402 133.160815 \nL 208.100419 129.533114 \nL 210.556544 125.862959 \nL 212.496819 122.25864 \nL 213.791901 118.850057 \nL 214.31768 115.783178 \nL 213.966787 113.210113 \nL 212.661707 111.274778 \nL 210.367693 110.09542 \nL 207.102989 109.746588 \nL 202.943657 110.244462 \nL 198.020871 111.539676 \nL 192.510013 113.520682 \nL 186.613081 116.028025 \nL 180.537787 118.876688 \nL 168.596365 124.87823 \nL 153.085537 132.763727 \nL 141.544998 138.332735 \nL 133.554039 142.151218 \nL 129.702077 144.170659 \nL 126.680668 145.991826 \nL 124.233377 147.719344 \nL 121.187915 150.22779 \nL 117.491631 153.412894 \nL 115.5482 154.885178 \nL 113.432733 156.230744 \nL 111.084407 157.406284 \nL 108.456486 158.360262 \nL 105.517045 159.030324 \nL 102.25236 159.340451 \nL 100.500266 159.332474 \nL 98.673378 159.198776 \nL 96.778511 158.925386 \nL 94.825391 158.497562 \nL 92.827105 157.900067 \nL 90.800552 157.11762 \nL 88.766845 156.135483 \nL 86.751655 154.940275 \nL 84.785422 153.521002 \nL 82.903342 151.870302 \nL 81.145082 149.985889 \nL 79.554105 147.872125 \nL 78.176556 145.541635 \nL 77.05964 143.016765 \nL 76.249489 140.330704 \nL 75.788605 137.528004 \nL 75.712967 134.664264 \nL 76.049109 131.80475 \nL 76.811435 129.021835 \nL 78.00015 126.391364 \nL 79.600114 123.988099 \nL 81.580919 121.88081 \nL 83.898234 120.127454 \nL 86.496346 118.771215 \nL 89.311623 117.837818 \nL 92.276474 117.334554 \nL 95.32333 117.251043 \nL 98.388198 117.5615 \nL 101.413494 118.228118 \nL 104.34995 119.204971 \nL 107.157605 120.441971 \nL 109.805972 121.888365 \nL 112.273553 123.495557 \nL 114.546922 125.21912 \nL 116.61957 127.019991 \nL 118.490648 128.865002 \nL 120.163739 130.726875 \nL 121.645742 132.583865 \nL 122.945874 134.419175 \nL 124.074842 136.220268 \nL 125.865608 139.686867 \nL 127.110922 142.943348 \nL 127.896865 145.978912 \nL 128.296374 148.799642 \nL 128.366623 151.42018 \nL 128.148637 153.858506 \nL 127.668066 156.132796 \nL 126.936444 158.259482 \nL 125.952486 160.252009 \nL 124.703223 162.119827 \nL 123.164901 163.867304 \nL 121.303707 165.492278 \nL 119.076502 166.983916 \nL 116.431896 168.319575 \nL 113.312214 169.460269 \nL 109.657201 170.344366 \nL 107.610979 170.66272 \nL 105.410776 170.879216 \nL 103.052151 170.975733 \nL 100.532786 170.930864 \nL 97.85331 170.71959 \nL 95.018312 170.313037 \nL 92.037569 169.67837 \nL 88.927473 168.778922 \nL 85.712658 167.574694 \nL 82.427749 166.023357 \nL 79.119158 164.081964 \nL 75.846689 161.709536 \nL 72.684742 158.870726 \nL 69.722663 155.540653 \nL 67.063825 151.710826 \nL 64.822897 147.395889 \nL 63.120839 142.640454 \nL 62.077342 137.524948 \nL 61.80093 132.168952 \nL 62.377396 126.730305 \nL 63.858105 121.39857 \nL 66.250179 116.382177 \nL 69.510823 111.889963 \nL 73.547588 108.109599 \nL 78.225303 105.186666 \nL 83.378782 103.208613 \nL 88.829095 102.197109 \nL 94.400261 102.110109 \nL 99.933466 102.852732 \nL 105.296803 104.293829 \nL 110.389918 106.284469 \nL 115.144107 108.674682 \nL 119.51918 111.326255 \nL 123.498568 114.120607 \nL 127.083901 116.962192 \nL 130.289913 119.778396 \nL 133.140118 122.517226 \nL 135.663383 125.143921 \nL 139.856617 129.986301 \nL 143.126775 134.240883 \nL 146.819504 139.570018 \nL 150.492287 144.987349 \nL 152.126866 147.084674 \nL 153.775898 148.821303 \nL 155.526311 150.216137 \nL 157.450988 151.274882 \nL 159.612376 151.990247 \nL 162.064602 152.342182 \nL 164.853816 152.298254 \nL 168.016307 151.814527 \nL 171.573903 150.837587 \nL 175.525958 149.308781 \nL 179.837339 147.172214 \nL 182.103446 145.862541 \nL 184.422179 144.388498 \nL 186.77167 142.751264 \nL 189.124404 140.956185 \nL 191.446699 139.013907 \nL 193.698386 136.941509 \nL 195.832786 134.76363 \nL 197.797101 132.51337 \nL 199.533367 130.232857 \nL 200.980116 127.973197 \nL 202.074789 125.793608 \nL 202.756974 123.759504 \nL 202.972353 121.939391 \nL 202.677099 120.400619 \nL 201.842361 119.204173 \nL 200.45824 118.399112 \nL 198.536623 118.017267 \nL 196.112296 118.069268 \nL 193.241907 118.542587 \nL 190.000678 119.402267 \nL 186.477213 120.594352 \nL 182.767083 122.051612 \nL 175.163972 125.468312 \nL 167.859145 129.107993 \nL 161.312825 132.587652 \nL 155.754639 135.728691 \nL 151.22955 138.510665 \nL 147.665642 140.996336 \nL 144.933179 143.270935 \nL 142.884975 145.408467 \nL 141.379755 147.459892 \nL 140.293478 149.453729 \nL 139.523263 151.401573 \nL 138.987194 153.304336 \nL 138.488303 156.063129 \nL 138.176469 159.528882 \nL 138.088383 163.463838 \nL 138.212378 167.56812 \nL 138.52864 171.018463 \nL 138.984845 173.424174 \nL 139.543838 175.051704 \nL 140.128952 176.096274 \nL 140.911816 176.980217 \nL 141.577135 177.471826 \nL 142.387474 177.875922 \nL 143.375454 178.18079 \nL 144.581018 178.370243 \nL 146.052944 178.42207 \nL 147.850548 178.30592 \nL 150.045505 177.980369 \nL 152.72357 177.388955 \nL 155.985766 176.454872 \nL 159.948217 175.074139 \nL 164.739024 173.107371 \nL 170.489449 170.371092 \nL 173.761998 168.643312 \nL 177.314712 166.631471 \nL 181.153461 164.298893 \nL 185.277059 161.607193 \nL 189.674393 158.517919 \nL 194.320832 154.995169 \nL 199.173911 151.009467 \nL 204.168312 146.543234 \nL 209.210366 141.598119 \nL 214.172576 136.204304 \nL 218.888991 130.431473 \nL 223.152768 124.400567 \nL 226.717866 118.294302 \nL 229.307253 112.363225 \nL 230.630185 106.922592 \nL 230.410342 102.334649 \nL 228.424424 98.971842 \nL 224.546899 97.160586 \nL 218.791399 97.113168 \nL 211.33524 98.864889 \nL 202.513794 102.240135 \nL 192.779213 106.867138 \nL 182.631398 112.244618 \nL 162.890956 123.190241 \nL 153.941653 127.95859 \nL 145.836432 131.961459 \nL 138.621247 135.146256 \nL 132.274985 137.554202 \nL 126.737354 139.279844 \nL 121.930087 140.438454 \nL 117.770796 141.144503 \nL 114.180843 141.500126 \nL 111.08911 141.59068 \nL 108.433276 141.484557 \nL 106.159723 141.235152 \nL 104.222787 140.883575 \nL 101.209748 139.993021 \nL 99.148944 138.990692 \nL 97.859374 137.99129 \nL 97.200501 137.076746 \nL 97.055429 136.30984 \nL 97.320125 135.738478 \nL 97.897632 135.395765 \nL 98.696043 135.299104 \nL 99.628957 135.450063 \nL 100.617195 135.835628 \nL 101.59077 136.430766 \nL 102.490366 137.201796 \nL 103.26804 138.109885 \nL 103.887067 139.114174 \nL 104.321092 140.174181 \nL 104.552886 141.251332 \nL 104.572956 142.309744 \nL 104.378268 143.316386 \nL 103.971257 144.240815 \nL 103.359212 145.054693 \nL 102.554113 145.731317 \nL 101.572883 146.245247 \nL 100.438021 146.572275 \nL 99.178494 146.689801 \nL 97.830726 146.577825 \nL 96.439435 146.220608 \nL 95.05798 145.609057 \nL 93.747843 144.743789 \nL 92.576827 143.638515 \nL 91.615608 142.323293 \nL 90.932548 140.846775 \nL 90.587029 139.27653 \nL 90.622057 137.696454 \nL 91.057462 136.200904 \nL 91.885155 134.885796 \nL 92.435545 134.323711 \nL 93.067836 133.838045 \nL 94.541809 133.125419 \nL 96.223553 132.789087 \nL 98.018741 132.840441 \nL 99.831818 133.262654 \nL 101.574343 134.016032 \nL 103.170886 135.045503 \nL 104.562033 136.288367 \nL 105.704802 137.680834 \nL 106.571159 139.162619 \nL 107.145468 140.679512 \nL 107.421603 142.184173 \nL 107.400267 143.635681 \nL 107.086872 144.998334 \nL 106.49014 146.240061 \nL 105.621519 147.330778 \nL 104.495396 148.24089 \nL 103.130089 148.940116 \nL 101.549547 149.396809 \nL 99.785634 149.57798 \nL 97.880828 149.45035 \nL 95.890976 148.982633 \nL 93.887593 148.149472 \nL 91.958903 146.937088 \nL 90.20862 145.350501 \nL 89.435992 144.425572 \nL 88.751408 143.421533 \nL 88.169487 142.347722 \nL 87.704216 141.215872 \nL 87.368461 140.040108 \nL 87.173455 138.836815 \nL 87.128286 137.624382 \nL 87.239419 136.422801 \nL 87.510272 135.253123 \nL 87.940909 134.136802 \nL 88.527852 133.09496 \nL 89.264065 132.147586 \nL 90.139099 131.312796 \nL 91.139395 130.606109 \nL 92.248733 130.039888 \nL 93.448811 129.622933 \nL 94.719902 129.360262 \nL 96.041524 129.253106 \nL 97.393113 129.299101 \nL 98.75464 129.492627 \nL 100.107146 129.825301 \nL 101.433164 130.286528 \nL 102.717015 130.864102 \nL 105.105555 132.314817 \nL 107.18795 134.068294 \nL 108.910377 136.020376 \nL 110.244924 138.079975 \nL 111.182956 140.17223 \nL 111.728483 142.238137 \nL 111.892515 144.232088 \nL 111.68879 146.118486 \nL 111.130969 147.868203 \nL 110.23122 149.455195 \nL 109.00004 150.853467 \nL 107.447227 152.034408 \nL 105.583954 152.964527 \nL 103.42596 153.603707 \nL 100.997883 153.904191 \nL 98.338748 153.810789 \nL 96.940224 153.59758 \nL 95.508356 153.263043 \nL 94.054971 152.799632 \nL 92.594002 152.200313 \nL 91.141611 151.45897 \nL 89.716258 150.570879 \nL 88.338668 149.533259 \nL 87.031682 148.345884 \nL 85.81995 147.011745 \nL 84.729466 145.537697 \nL 83.7869 143.935078 \nL 83.018748 142.220193 \nL 82.450288 140.414604 \nL 82.104418 138.545162 \nL 82.000396 136.643686 \nL 82.152606 134.746235 \nL 82.569445 132.891976 \nL 83.252436 131.121668 \nL 84.195693 129.475824 \nL 85.385812 127.992737 \nL 86.802233 126.706493 \nL 88.418067 125.645187 \nL 90.201318 124.829558 \nL 92.116409 124.272106 \nL 94.12584 123.976851 \nL 96.191868 123.939656 \nL 98.278034 124.149116 \nL 100.350442 124.587808 \nL 102.378738 125.233803 \nL 104.336731 126.062223 \nL 106.202714 127.046738 \nL 107.959475 128.160887 \nL 109.594101 129.379131 \nL 111.097602 130.677633 \nL 112.464444 132.034785 \nL 113.692024 133.431488 \nL 114.780134 134.851222 \nL 116.546044 137.706227 \nL 117.789953 140.514945 \nL 118.549972 143.222548 \nL 118.86548 145.795933 \nL 118.771256 148.216244 \nL 118.29413 150.472746 \nL 117.451504 152.557981 \nL 116.251211 154.463906 \nL 114.692366 156.178619 \nL 112.767077 157.683327 \nL 110.463071 158.949271 \nL 107.767516 159.934454 \nL 106.27004 160.304178 \nL 104.672468 160.580231 \nL 102.97584 160.752148 \nL 101.182616 160.808062 \nL 99.297102 160.734696 \nL 97.325899 160.517392 \nL 95.278429 160.140251 \nL 93.167494 159.586371 \nL 91.009842 158.838244 \nL 88.826752 157.878354 \nL 86.644543 156.689992 \nL 84.49497 155.258351 \nL 82.415415 153.571882 \nL 80.448798 151.623955 \nL 78.643043 149.414733 \nL 77.050063 146.953176 \nL 75.724103 144.259008 \nL 74.719456 141.36438 \nL 74.087535 138.314961 \nL 73.873483 135.170077 \nL 74.112522 132.001597 \nL 74.826493 128.891345 \nL 76.020951 125.927051 \nL 77.68337 123.19699 \nL 79.782771 120.783897 \nL 82.270989 118.758834 \nL 85.085544 117.175885 \nL 88.153765 116.068405 \nL 91.39764 115.447421 \nL 94.738802 115.302306 \nL 98.103006 115.603442 \nL 101.423672 116.306415 \nL 104.644269 117.356949 \nL 107.719491 118.695865 \nL 110.615393 120.263483 \nL 113.308711 122.003127 \nL 115.785661 123.863506 \nL 118.040459 125.800117 \nL 120.073763 127.775745 \nL 121.891185 129.760333 \nL 123.501951 131.730423 \nL 124.917748 133.668344 \nL 126.151775 135.561333 \nL 128.130445 139.180723 \nL 129.548789 142.552955 \nL 130.508518 145.673684 \nL 131.095957 148.555553 \nL 131.379892 151.219203 \nL 131.411778 153.68801 \nL 131.227125 155.985114 \nL 130.847299 158.131889 \nL 130.281272 160.147214 \nL 129.527078 162.047131 \nL 128.572852 163.844664 \nL 127.397441 165.549534 \nL 125.970625 167.167627 \nL 124.253038 168.700025 \nL 122.195944 170.141331 \nL 119.741114 171.477025 \nL 116.821197 172.679406 \nL 113.361285 173.701616 \nL 109.282758 174.469112 \nL 106.98776 174.723698 \nL 104.511226 174.868093 \nL 101.846929 174.879518 \nL 98.991305 174.730778 \nL 95.944572 174.389761 \nL 92.71213 173.819035 \nL 89.306281 172.975649 \nL 85.748252 171.811269 \nL 82.070541 170.272863 \nL 78.319446 168.304194 \nL 74.557635 165.848392 \nL 70.86643 162.85196 \nL 67.347336 159.270492 \nL 64.122156 155.076223 \nL 61.330901 150.267249 \nL 59.126633 144.87775 \nL 57.666573 138.987783 \nL 57.099292 132.730584 \nL 57.548684 126.294547 \nL 59.096582 119.917237 \nL 61.767104 113.869496 \nL 65.516409 108.430132 \nL 70.231186 103.854228 \nL 75.73756 100.34112 \nL 81.819364 98.009161 \nL 88.242215 96.883392 \nL 94.778211 96.898797 \nL 101.226372 97.917484 \nL 107.425672 99.754591 \nL 113.259943 102.206222 \nL 118.656048 105.073693 \nL 123.577694 108.180681 \nL 128.01737 111.382443 \nL 131.988285 114.568278 \nL 135.517379 117.659302 \nL 138.639813 120.603602 \nL 143.823491 125.945057 \nL 147.860318 130.508316 \nL 156.890066 141.181344 \nL 158.852001 143.030967 \nL 160.797639 144.448622 \nL 162.818913 145.462025 \nL 164.985094 146.083956 \nL 167.345755 146.314621 \nL 169.931784 146.144472 \nL 172.754256 145.557788 \nL 175.801111 144.537589 \nL 179.031761 143.072462 \nL 182.370209 141.165843 \nL 185.697913 138.847955 \nL 188.848776 136.189537 \nL 190.292972 134.769082 \nL 191.609874 133.314769 \nL 192.767371 131.851671 \nL 193.732611 130.408459 \nL 194.473211 129.016795 \nL 194.958705 127.710358 \nL 195.162206 126.523518 \nL 195.062139 125.489654 \nL 194.643939 124.639255 \nL 193.901534 123.997924 \nL 192.838443 123.584544 \nL 191.468305 123.409758 \nL 189.814735 123.475077 \nL 187.910447 123.772711 \nL 185.795707 124.286201 \nL 183.516245 124.991829 \nL 178.65871 126.860588 \nL 173.720635 129.125458 \nL 169.0285 131.5534 \nL 164.814896 133.974892 \nL 161.21249 136.293759 \nL 158.269884 138.472915 \nL 155.976536 140.511079 \nL 154.287255 142.421824 \nL 153.141683 144.219618 \nL 152.477779 145.912846 \nL 152.240098 147.501576 \nL 152.384217 148.977915 \nL 152.878577 150.327236 \nL 153.704726 151.529321 \nL 154.856641 152.558998 \nL 156.339508 153.386138 \nL 158.168118 153.97511 \nL 160.364809 154.283783 \nL 162.956717 154.262419 \nL 165.971837 153.852743 \nL 169.433256 152.987873 \nL 173.350622 151.594037 \nL 177.70784 149.595652 \nL 180.035248 148.348064 \nL 182.44609 146.925827 \nL 184.922751 145.324998 \nL 187.442014 143.545072 \nL 189.974277 141.590165 \nL 192.482848 139.470339 \nL 194.923463 137.203009 \nL 197.244097 134.81436 \nL 199.385296 132.340566 \nL 201.281171 129.828606 \nL 202.861211 127.336402 \nL 204.053096 124.931918 \nL 204.78653 122.690995 \nL 204.998013 120.693613 \nL 204.636254 119.018667 \nL 203.667735 117.737484 \nL 202.081658 116.906756 \nL 199.893471 116.561892 \nL 197.146119 116.712021 \nL 193.908541 117.337785 \nL 190.271267 118.392637 \nL 186.339643 119.807698 \nL 182.22562 121.499467 \nL 173.882048 125.360356 \nL 165.98286 129.343989 \nL 155.937925 134.723508 \nL 150.667723 137.750533 \nL 146.486399 140.393179 \nL 143.248855 142.761616 \nL 140.782523 144.956836 \nL 138.91851 147.051238 \nL 137.506582 149.087702 \nL 136.420331 151.086261 \nL 135.182598 154.022303 \nL 131.848813 163.086706 \nL 130.534451 165.541198 \nL 129.469133 167.107832 \nL 128.208685 168.619514 \nL 126.709923 170.075604 \nL 124.922937 171.472584 \nL 122.789679 172.801807 \nL 120.242904 174.046235 \nL 117.205797 175.175661 \nL 113.592999 176.139787 \nL 109.314205 176.858315 \nL 106.897372 177.088915 \nL 104.282407 177.20732 \nL 101.461579 177.188319 \nL 98.430022 177.001589 \nL 95.187021 176.611053 \nL 91.737647 175.974333 \nL 88.09477 175.042429 \nL 84.281478 173.759792 \nL 80.333901 172.065053 \nL 76.30429 169.89271 \nL 72.264189 167.176199 \nL 68.307267 163.85274 \nL 64.551214 159.870382 \nL 61.13785 155.197404 \nL 58.230394 149.833867 \nL 56.006754 143.824368 \nL 54.648024 137.270106 \nL 54.321987 130.33733 \nL 55.162788 123.258427 \nL 57.249544 116.322112 \nL 60.588153 109.850793 \nL 65.101255 104.166224 \nL 70.630357 99.548848 \nL 76.951254 96.199447 \nL 83.80022 94.21262 \nL 90.905143 93.568851 \nL 98.014587 94.146693 \nL 104.919048 95.750424 \nL 111.461745 98.145058 \nL 117.539558 101.089927 \nL 123.096913 104.364574 \nL 128.116053 107.784411 \nL 132.606636 111.206637 \nL 136.596462 114.529005 \nL 140.124119 117.684326 \nL 145.970827 123.356932 \nL 150.507352 128.119893 \nL 159.347889 137.693648 \nL 161.485034 139.652433 \nL 163.490806 141.127494 \nL 165.472143 142.168021 \nL 167.506067 142.806306 \nL 169.64381 143.061501 \nL 171.913224 142.94365 \nL 174.319468 142.458129 \nL 176.844123 141.61081 \nL 179.443179 140.414114 \nL 182.044633 138.89405 \nL 184.546918 137.097804 \nL 186.819901 135.100775 \nL 188.710476 133.011042 \nL 190.054784 130.968468 \nL 190.472654 130.015196 \nL 190.697934 129.135472 \nL 190.716918 128.349986 \nL 190.519824 127.677975 \nL 190.101553 127.13626 \nL 189.462302 126.738354 \nL 188.60791 126.493661 \nL 187.549924 126.406939 \nL 186.305339 126.478034 \nL 184.896012 126.701921 \nL 181.689436 127.566553 \nL 178.164536 128.886084 \nL 174.563225 130.517906 \nL 171.100952 132.323124 \nL 167.944836 134.188734 \nL 165.206322 136.036235 \nL 162.945587 137.818772 \nL 161.18253 139.512159 \nL 159.909711 141.104823 \nL 159.104177 142.589661 \nL 158.736772 143.958746 \nL 158.778653 145.200491 \nL 159.205318 146.298545 \nL 159.998645 147.231555 \nL 161.14739 147.973293 \nL 162.646489 148.492825 \nL 164.495328 148.754698 \nL 166.694978 148.719252 \nL 169.244257 148.343398 \nL 172.13433 147.582342 \nL 175.341591 146.392934 \nL 178.818598 144.739549 \nL 182.483288 142.603361 \nL 186.207436 139.995687 \nL 189.80674 136.974967 \nL 191.485443 135.34539 \nL 193.036809 133.664929 \nL 194.422209 131.961493 \nL 195.601283 130.268053 \nL 196.533328 128.622098 \nL 197.179076 127.064572 \nL 197.502809 125.638277 \nL 197.474678 124.385756 \nL 197.073078 123.346737 \nL 196.286818 122.555354 \nL 195.116844 122.037437 \nL 193.577212 121.808224 \nL 191.695127 121.870834 \nL 189.509949 122.215808 \nL 187.071176 122.821869 \nL 184.435611 123.65783 \nL 181.664019 124.685416 \nL 175.955095 127.146902 \nL 170.386956 129.88259 \nL 165.292833 132.639861 \nL 160.87301 135.269258 \nL 157.209054 137.712842 \nL 154.296379 139.971716 \nL 152.078704 142.073411 \nL 150.475912 144.049263 \nL 149.403183 145.92286 \nL 148.782555 147.706416 \nL 148.548939 149.401479 \nL 148.652542 151.001221 \nL 149.059178 152.492781 \nL 149.749496 153.858919 \nL 150.71774 155.078827 \nL 151.970439 156.128113 \nL 153.525121 156.978078 \nL 155.409065 157.594424 \nL 157.657888 157.935532 \nL 160.313644 157.950453 \nL 163.421892 157.576875 \nL 167.026919 156.739559 \nL 171.164018 155.350114 \nL 175.847276 153.309724 \nL 178.38795 152.013556 \nL 181.051198 150.517408 \nL 183.823373 148.811189 \nL 186.684662 146.887611 \nL 189.607868 144.743568 \nL 192.557204 142.38183 \nL 195.48714 139.813034 \nL 198.341515 137.057847 \nL 201.053069 134.14923 \nL 203.543706 131.134467 \nL 205.725742 128.076638 \nL 207.504494 125.055039 \nL 208.782467 122.163928 \nL 209.465217 119.509101 \nL 209.468816 117.201819 \nL 208.728355 115.350119 \nL 207.206548 114.048073 \nL 204.901081 113.364287 \nL 201.849163 113.331684 \nL 198.127876 113.940831 \nL 193.849636 115.138818 \nL 189.153012 116.834629 \nL 184.190305 118.910269 \nL 179.114042 121.235521 \nL 169.161837 126.14192 \nL 149.192282 136.460372 \nL 141.359487 140.738846 \nL 137.562059 143.089427 \nL 134.627765 145.22451 \nL 132.332987 147.248629 \nL 130.483835 149.220129 \nL 128.200918 152.126937 \nL 124.730365 156.813549 \nL 123.203423 158.594056 \nL 121.493076 160.294371 \nL 119.538476 161.893193 \nL 117.281299 163.364138 \nL 114.664502 164.6724 \nL 111.632778 165.770227 \nL 108.135306 166.591156 \nL 106.198659 166.87021 \nL 104.131793 167.043083 \nL 101.933061 167.093005 \nL 99.603138 167.000688 \nL 97.145721 166.744173 \nL 94.568379 166.298792 \nL 91.88351 165.637276 \nL 89.109433 164.730107 \nL 86.271573 163.546184 \nL 83.403636 162.053934 \nL 80.548715 160.222935 \nL 77.760148 158.026202 \nL 75.101911 155.443173 \nL 72.648283 152.463384 \nL 70.482503 149.090712 \nL 68.694086 145.347851 \nL 67.374644 141.280475 \nL 66.612113 136.96036 \nL 66.483687 132.486472 \nL 67.048038 127.983101 \nL 68.337798 123.594383 \nL 70.353577 119.475003 \nL 73.060751 115.777789 \nL 76.390018 112.639736 \nL 80.242022 110.1687 \nL 84.495513 108.433127 \nL 89.017772 107.456796 \nL 93.675588 107.219365 \nL 98.34502 107.662335 \nL 102.918742 108.69888 \nL 107.310333 110.22546 \nL 111.455637 112.133022 \nL 115.311787 114.316325 \nL 118.854677 116.680518 \nL 122.075662 119.144893 \nL 124.978108 121.644189 \nL 127.574189 124.128121 \nL 129.882133 126.559799 \nL 131.923987 128.91362 \nL 135.306768 133.328432 \nL 137.919822 137.313194 \nL 139.949545 140.869964 \nL 142.251446 145.471073 \nL 145.131574 151.499984 \nL 146.215057 153.430374 \nL 147.362325 155.116859 \nL 148.629644 156.568688 \nL 150.069137 157.786424 \nL 151.731747 158.761513 \nL 153.669497 159.475516 \nL 155.936981 159.898954 \nL 158.591865 159.989723 \nL 161.694016 159.691207 \nL 165.30258 158.930454 \nL 169.469934 157.617146 \nL 171.775166 156.720534 \nL 174.230974 155.644843 \nL 176.836136 154.375233 \nL 179.58569 152.897067 \nL 182.469864 151.196672 \nL 185.472861 149.262377 \nL 188.571466 147.085897 \nL 191.733569 144.664081 \nL 194.916654 142.001052 \nL 198.066417 139.110722 \nL 201.115695 136.019551 \nL 203.983999 132.769372 \nL 206.578016 129.419864 \nL 208.793455 126.050206 \nL 210.518714 122.759179 \nL 211.640626 119.66291 \nL 212.052423 116.889582 \nL 211.663585 114.57056 \nL 210.410709 112.828254 \nL 208.267909 111.76172 \nL 205.254787 111.432315 \nL 201.439862 111.852282 \nL 196.937928 112.979527 \nL 191.900993 114.720628 \nL 186.503953 116.942293 \nL 180.927632 119.489104 \nL 169.895233 124.944219 \nL 134.763421 142.963535 \nL 131.501389 145.017435 \nL 128.928919 146.939327 \nL 126.826309 148.800299 \nL 124.166215 151.533469 \nL 120.842767 155.043527 \nL 119.051542 156.696778 \nL 117.070893 158.245419 \nL 114.837266 159.655365 \nL 112.295322 160.88497 \nL 109.397884 161.881567 \nL 106.108346 162.577084 \nL 104.309277 162.78527 \nL 102.406216 162.883256 \nL 100.400671 162.856146 \nL 98.296594 162.687343 \nL 96.100944 162.358586 \nL 93.824313 161.850098 \nL 91.481631 161.140892 \nL 89.092884 160.20928 \nL 86.683834 159.03366 \nL 84.286658 157.593612 \nL 81.940411 155.871369 \nL 79.691212 153.853679 \nL 77.591983 151.534042 \nL 75.70161 148.915237 \nL 74.083358 146.011975 \nL 72.80243 142.853395 \nL 71.922646 139.485046 \nL 71.502346 135.969839 \nL 71.589749 132.387536 \nL 72.218262 128.832349 \nL 73.402289 125.408453 \nL 75.134256 122.223567 \nL 77.383411 119.381171 \nL 80.096837 116.972246 \nL 83.202668 115.067813 \nL 86.615179 113.713376 \nL 90.241061 112.926146 \nL 93.985962 112.695423 \nL 97.760462 112.985903 \nL 101.484777 113.743136 \nL 105.091874 114.900092 \nL 108.528919 116.383807 \nL 111.757319 118.121227 \nL 114.751689 120.043722 \nL 117.498161 122.090106 \nL 119.992399 124.208224 \nL 122.237557 126.355383 \nL 124.242397 128.49796 \nL 126.019638 130.610485 \nL 127.584573 132.674473 \nL 130.145177 136.610487 \nL 132.06185 140.253181 \nL 133.465095 143.593896 \nL 134.469114 146.647371 \nL 135.16852 149.438934 \nL 135.806055 153.197805 \nL 136.105758 156.524288 \nL 136.18159 159.497586 \nL 136.040676 163.020728 \nL 135.674246 166.143124 \nL 135.247379 168.274762 \nL 134.66403 170.259982 \nL 133.8823 172.125601 \nL 132.841003 173.896515 \nL 131.96172 175.03601 \nL 130.897283 176.149853 \nL 129.607806 177.243026 \nL 128.044631 178.318471 \nL 126.148691 179.375571 \nL 123.848772 180.407682 \nL 121.059903 181.39819 \nL 117.682352 182.314347 \nL 113.602158 183.097778 \nL 108.694939 183.650218 \nL 105.891786 183.793266 \nL 102.836126 183.812826 \nL 99.515931 183.674928 \nL 95.922917 183.337883 \nL 92.054499 182.751115 \nL 87.91634 181.85411 \nL 83.525585 180.575694 \nL 78.914857 178.833959 \nL 74.136983 176.537328 \nL 69.270267 173.587412 \nL 64.423881 169.884464 \nL 59.742588 165.336337 \nL 55.409442 159.871738 \nL 51.644634 153.458055 \nL 48.69826 146.122919 \nL 46.83479 137.976916 \nL 46.308009 129.232383 \nL 47.327508 120.211146 \nL 50.021202 111.333195 \nL 54.402035 103.080813 \nL 60.349192 95.939012 \nL 67.612386 90.322536 \nL 75.841736 86.50752 \nL 84.637122 84.587976 \nL 93.603852 84.470339 \nL 102.399936 85.906243 \nL 110.764864 88.550823 \nL 118.527493 92.027566 \nL 125.597467 95.982721 \nL 131.947639 100.120175 \nL 137.594503 104.215866 \nL 142.581031 108.116507 \nL 150.804175 115.007071 \nL 168.43034 130.279083 \nL 171.570271 132.618355 \nL 173.797366 133.975238 \nL 175.423652 134.680288 \nL 176.628561 134.959729 \nL 177.506038 134.974418 \nL 178.237009 134.785684 \nL 178.50016 134.54922 \nL 178.409237 134.431585 \nL 177.953547 134.429642 \nL 177.002563 134.721973 \nL 175.902544 135.296546 \nL 174.966696 136.019121 \nL 174.509917 136.588749 \nL 174.401494 137.057507 \nL 174.56664 137.298034 \nL 174.935323 137.415936 \nL 175.699185 137.355449 \nL 176.680298 137.037981 \nL 177.736468 136.491735 \nL 178.694625 135.789813 \nL 179.373753 135.047415 \nL 179.60548 134.548518 \nL 179.551676 134.165026 \nL 179.350787 133.997964 \nL 178.816243 133.904698 \nL 178.047336 134.010641 \nL 176.794073 134.440594 \nL 175.490564 135.123754 \nL 174.365093 135.941736 \nL 173.602559 136.765691 \nL 173.342439 137.314447 \nL 173.377242 137.753606 \nL 173.708168 138.044915 \nL 174.315977 138.157874 \nL 175.161825 138.071739 \nL 176.187409 137.778531 \nL 177.697638 137.083104 \nL 179.155341 136.114675 \nL 180.053968 135.296072 \nL 180.661854 134.491626 \nL 180.887458 133.796097 \nL 180.796803 133.43782 \nL 180.507728 133.189877 \nL 180.028359 133.06761 \nL 178.998471 133.134245 \nL 177.695174 133.490294 \nL 176.260243 134.091215 \nL 174.40355 135.153193 \nL 173.229532 136.043267 \nL 172.358914 136.929061 \nL 171.859046 137.742805 \nL 171.750113 138.215666 \nL 171.825056 138.614335 \nL 172.082005 138.924527 \nL 172.514538 139.133396 \nL 173.111883 139.229721 \nL 174.282521 139.14386 \nL 175.717652 138.766033 \nL 177.319532 138.097773 \nL 178.961542 137.168755 \nL 180.48977 136.043971 \nL 181.732121 134.826856 \nL 182.316331 134.030643 \nL 182.652649 133.299154 \nL 182.707407 132.677542 \nL 182.462044 132.206343 \nL 181.916506 131.9171 \nL 181.09081 131.828812 \nL 180.024276 131.945987 \nL 178.097257 132.481923 \nL 175.982354 133.373628 \nL 173.915619 134.50595 \nL 172.103051 135.758175 \nL 170.697936 137.022412 \nL 169.796322 138.209366 \nL 169.49963 138.920895 \nL 169.452295 139.545958 \nL 169.652668 140.066592 \nL 170.094483 140.46563 \nL 170.767486 140.726624 \nL 171.657526 140.834092 \nL 172.746092 140.774145 \nL 174.009403 140.535496 \nL 175.417119 140.110861 \nL 177.713028 139.124036 \nL 180.075393 137.748076 \nL 181.579791 136.655136 \nL 182.939064 135.469545 \nL 184.070735 134.247958 \nL 184.892718 133.058965 \nL 185.33124 131.978495 \nL 185.33016 131.082609 \nL 185.154344 130.725462 \nL 184.860162 130.438389 \nL 184.449302 130.226844 \nL 183.295935 130.043917 \nL 181.753087 130.186008 \nL 179.910081 130.634605 \nL 177.876446 131.348083 \nL 175.769213 132.270051 \nL 172.712011 133.909521 \nL 170.04996 135.688519 \nL 168.601734 136.876811 \nL 167.459527 138.027717 \nL 166.642614 139.115577 \nL 166.157738 140.119063 \nL 166.003096 141.018892 \nL 166.171609 141.796143 \nL 166.653249 142.431203 \nL 167.436325 142.90333 \nL 168.507761 143.190671 \nL 169.852423 143.270771 \nL 171.451571 143.121545 \nL 173.28051 142.722835 \nL 175.305539 142.058713 \nL 177.480418 141.120626 \nL 179.742709 139.911513 \nL 182.010636 138.450711 \nL 184.181425 136.779134 \nL 186.132444 134.963647 \nL 187.726628 133.098984 \nL 188.823372 131.304976 \nL 189.144277 130.476649 \nL 189.295096 129.717281 \nL 189.265306 129.043599 \nL 189.047806 128.470948 \nL 188.639469 128.012569 \nL 188.041549 127.678935 \nL 187.259898 127.477194 \nL 186.304952 127.410791 \nL 185.191482 127.479299 \nL 185.191482 127.479299 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p3d43aded5f\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZcAAAGMCAYAAAAWd+9VAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAAD6EElEQVR4nOydd3gU5drG75ntyaZXEhJSqQFCqAlIx4YoougHdj0eFesRxa7oQRQLVlQ8ehDrUVSwUi1ICz2kEpKQkJDey/adeb8/hpnd2d0km2RDEpzfdeVKsmV2dsp7v8/zPoUihBBISEhISEh4ELqvd0BCQkJC4sJDEhcJCQkJCY8jiYuEhISEhMeRxEVCQkJCwuNI4iIhISEh4XEkcZGQkJCQ8DiSuEhISEhIeBxJXCQkJCQkPI4kLhISEhISHkcSFwkJCQkJjyOJi4SEhISEx5HERUJCQkLC40jiIiEhISHhcSRxkZCQkJDwOJK4SEhISEh4HElcJCQkJCQ8jiQuEhISEhIeRxIXCQkJCQmPI4mLhISEhITHkcRFQkJCQsLjSOIiISEhIeFxJHGRkJCQkPA4krhISEhISHgcSVwkJCQkJDyOJC4SEhISEh5HEhcJCQkJCY8jiYuEhISEhMeRxEVCQkJCwuNI4iIhISEh4XEkcZGQkJCQ8DiSuEhISEhIeBxJXCQkJCQkPI4kLhISEhISHkcSFwkJCQkJjyOJi4SEhISEx5HERUJCQkLC48j7egck/n6wLAuLxQKapiGTyUDT0hxHQuJCQxIXifMGIQQMw8BqtUKv14OiKFAUBblcDrlcDplMBrlcDoqi+npXJSQkeghFCCF9vRMSFz6EEFgsFjAMI/xNURRYlgUhBIQQSWwkJC4gJHGR6HUYhoHFYgHLsqBpGoQQmM1mJ3cYIUQkNkVFRYiNjYVarYZCoYBMJoNMJpPERkJiACC5xSR6DUIIrFYrrFYrCCGgaRoURQlWCv+bh6IoyGQy4f+KigpERUXBYrHAbDaDoijQNC2ybCSxkZDon0jiItErsCyLxsZGyGQyqFQqQVh4HIXFFfZiwhvYLMvCbDbDZDJJYiMh0Y+RxEXCo/CuLYvFgry8PISHhyMqKqpH2wMgCAZv2UhiIyHRv5HERcJj2C/aA+jxoM67ztp7DnAtNiaTCWazGQAksZGQ6CMkcZHwCLy1wjCM4ALrSBzcoSsiYC82MplMCAoghDiJDR8cIJfLndx1EhISnkESF4keYZ+7wkeD8YN1T8WF33534MUNgJPYGI1G4TW82PCWjSQ2EhKeQRIXiW7j6AZzHJjbExd3B29PDvKS2EhInF8kcZHoFvxCuqO1Yo87ayad0VtpWO6KDe8+k8RGQqJrSOIi0SV4N5jFYhHlrrjifK659JT2xIYPEDAajaBp2ilAQBIbCQnXSOIi4TYsy8JqtbbrBnOkL9dceoq92PD7wQsrwzDthj5LYiMhwSGJi0Sn2Oeu2NcA64z2xKW2thZFRUXQarUIDAyEv78/FAqF2+/vC/jvzJessRebkydPwsfHB4MGDRLcaPZ10SSxkfg7IomLRIfYl3ABnGf0HeEoDizL4tSpUygrK8OQIUNgMplQVFQEvV4PHx8fBAQEwN/fH/7+/v2+YKW92PB10yiKgtVqFYpyulqzkcRG4u+CJC4S7cJbKyzLAkCX+67Yi4ter8eJEyfAsixSU1MFS4WiKJhMJjQ2NqKxsRGnTp2CyWSCj48PrFYrmpubodVqRTXH+iO80DhaNq7Exr4Ip9TLRuJCRRIXCSc6yl3pCry4VFVVITs7GxERERg2bBhomhaSGgFApVIhPDwc4eHhAACDwYCmpibk5+fjzJkzKCoqgp+fHwICAhAQEABfX99+Pyi350bjxQZwXT2gv38vCQl3kcRFQkRnuStdpa6uDmVlZUhKShLEo7N1FI1GA41Gg+LiYgwfPhxqtVqwbM6ePQuGYeDv7y+IjY+PT793NbUnNnzFZ0ASG4kLC0lcJARYlkVlZSU0Gg28vLx6NGC3tbWhsrISFEUhLS0NXl5eXd4G//leXl7w8vJCZGQkCCHQ6XSC2Jw5cwYARGLj7e193sWmq5/nSmx4NyRv2Tg2TpPERmIgIYmLhCh35dSpU4iNjYW3t3e3t1deXo7c3Fx4e3vDz8+vW8ICuB6wKYqCVquFVqtFVFQUCCFobW1FY2Mj6uvrcfr0adA0LQhNQEAANBrNgLBs7NeV3BGb/h70IPH3RhKXvzmu3GDdDf+1Wq3Izc1FbW0tkpOT0dDQIGy3J/vXERRFwdfXF76+vhgyZAhYlkVLSwsaGxtRXV2NgoICyOVyJ7HxJL0RLt2R2Ng3TnMVjSYh0R+QxOVvjGP7YX7A6s5g2dLSghMnTkClUmHq1KnCOgkfaeaIOzks3RkoaZoWwpljY2PBMAyam5vR2NiIyspK5OfnQ6VSicRGpVJ1+XPON+6KjdReQKK/IInL3xDH3JWeVDImhKCsrAz5+fmIjY1FfHy8aFue2NeeIJPJEBgYiMDAQAAQwpsbGxtRVlaG3NxceHl5icTGVUJnf8NebKTGaRL9EUlc/mY45q44JvVRFNWuteGIxWJBdnY2mpqakJKSgqCgINHzXdmWK3ojQ18ulyMoKEjYV4vFgqamJjQ2NqK4uBjZ2dnQarWC0PAJne7sa18hdemU6I9I4vI3wd6N0lHuirtusaamJpw4cQLe3t6YOnUqlEql02s80Ymyt1EoFAgJCUFISAgAwGw2C5FoBQUFMBqNQvWAgIAA+Pn5DYiETsC12JSUlECn0yExMVESG4leRRKXvwFdyV3pzFoghKCkpAQFBQVITExETExMr1VF5j/vfKJUKhEWFoawsDAAgNFoFMQmLy8PZrNZSOj09/eHn59fv6l/1h6O1Z75bqFSl06J3kQSlwscV+2HO6IjQTCbzcjKykJraysmTZoEf3//bm/LHfrDwKZWqzFo0CAMGjQIhBAYDAanhE6+7IuPjw+0Wm2/zkXhC4/y+yg1TpPoLSRxuUDpbgkXmqZdrpM0NDTgxIkT8Pf3x9SpU91a9B6IlktHUBTlMqEzOzsbRqMRGRkZIISIEjq1Wm2/GpB5cbFH6tIp0RtI4nIB0pMSLo6CQAhBUVERiouLMWzYMERFRXV7W12lP5XcdwWf0KlWqxESEoKIiAi0tbUJlk1xcbEQGs2LTU8rH/QUV+LiiNSlU8ITSOJygeEqd6Ur2Ed4GY1GZGZmwmg0YvLkyfD19e3ytvqzOHgK+x43Pj4+8PHxQXR0NFiWFaoH1NbWorCwsNcTOt3Z1+5Ut5a6dEp0FUlcLhDsc1c6az/cEfxCb21tLbKyshAcHIyUlBS3wnEdcSc4oLc7WfYlNE3Dz88Pfn5+iImJAcMwQvWAvkrodMdy6QypS6eEO0jicgHQ1fbDnVFfX4/S0lKMGDECkZGR3d7WhbCg70lkMpkgIkDnCZ3+/v4uQ7x7Qm+VqmmvS6e92EhdOv9eSOIygOFvYL78R09vVoPBgOrqaqGhl1ar7dH+XWgL+p6mo4TOkpIStLW1QavVCms27bWD7gqesFw6o7NeNvaN06QunRcukrgMUPhF+9LSUlRWVmLixIk9ujGrq6uRlZUFjUYDX1/fHgsLcOEv6HsaVwmdvNg4toPmxaarCZ3dWXPpKV0RG6lL54WDJC4DEMfclZ7MRhmGQX5+PioqKjBq1Ci0tbXBZDJ5ZD8lt1jPUCqVCA0NRWhoKACI2kHn5+fDZDLB19dX1KGzM7E5H5ZLZ0hi8/dAEpcBhKvcFZlM1u36XTqdDidOnAAAoaFXYWFhj+qB2fN3cYudrwHbVTtoXmwqKipgtVpF7aB9fHycBuT+IC6OdCQ2jY2NqKqqwtChQ6XGaQMMSVwGCO3lrnR3AK+oqEBOTg6ioqIwdOhQ4UbtST8XRyTLpXfh20FHRESAEAK9Xi+ITWlpqcuEzv4oLo7Yiw0fYUdRlKi9AEVJXTr7O5K4DAD46rauclfay6hvD6vViry8PNTU1GDs2LGCy4XHk+scfxfLpT9AURS8vb3h7e2NwYMHgxDilNDJu5osFgt0Ol2fJ3S6A3/N8z+A1KVzoCCJSz/Gvv1we7krXRGX1tZWZGRkQKlUCg29HOlpmXzHbbkSB3ejgqTBofu0l9B58uRJ6PV6HD58GHK5XGTZ9Md20Ly42MOLJI+rxmn2YiN16ewbJHHpp7ibu+KOuBBCcPbsWZw8eRIxMTGIj49v14XgSbcY/9l9+X4JDj6h08vLC35+fhg8eDCam5vR1NSE6upqnDp1CkqlUpTQ6Wrycb5xJ7rNHbHh1yftAwQkseldJHHpZ9jfGPZlRdqjM9eT1WpFdnY2GhoaXDb06ur2ukJ7QmUwGJCTkwOaphEYGNhuGZSBdPMPlH21r4rMi4hjO+jy8nKcPHkSarVaJDaeTuh0B1eWS2fYi419LxupJfT5RRKXfoRj+2F33EcdWS7Nzc3IyMiAl5cXpk6d6lZpEU+6xQBny6OmpgZZWVkICQmBQqEQyqDwA1lgYKCQmT5Q8lwGwj7ytLeg76odNJ9jc+bMGeTk5MDb21uUY3M+2kGzLNujQd++Jhogdek8n0ji0k9wbD/s7mzNlbgQQnDmzBkUFBQgPj4esbGxbt8onnSL2W+LZVkUFhbizJkzGDVqFEJCQoQ8HfuBzD4znR9YGIbp990fBwruRovJ5XIEBwcjODgYQOcJnX5+ft2qP9cZ3bFcOqIzsbFvnCaJTc+QxKWP6W7fFR5HS8NsNiM7OxstLS2YMGGCUMequ9vrKXyZ9hMnTsBisQhlZXjrDHA9kDU2NuL06dOoq6tDdXW1kL8RGBjoMn9Dwj26G4rcGwmd7uBpcXHEldjwP45dOiWx6RqSuPQhPem7wsNbB4QQoa+9r68v0tLSuuUj93QoMsuy2L9/P4KDgzF+/HhhdtvRZ/Cthuvr66FWqxEeHi7q/siyrGgtwNvbW7rR3cRTeS7uJHTyYtOTCcH5LlfTXnsBXmzs3WhS47SOkcSlj+hq++H24G88vqFXYmIihgwZ0qPteUJcCCEoLy+HxWLBqFGjMHjw4C7vE/96x+6PfP5GfX09ioqKhB4pfHBAf4hy6q/0VhKlY0KnYztolmWdqge4sx+9bbl0RkdiI3Xp7BhJXM4z7uSudAU+iay8vByTJk2Cn59fj/bPE5aL2WxGZmYm2traIJfLERUV1aPt2eMqf8Mxykmj0Ygsm95eeB4IWe8856sqsqt20LzYnDlzBgBEOTbtWZ89XdD3NO6IDT8BCg4OFkKf/45iI4nLeYQQgoaGBsFl0NMLrq6uDpmZmQCAiRMnwsvLq8f72NWMf0caGxuRkZEBf39/jB07FkePHu32ttwROvuQ2ri4OCE4oKGhAcXFxcjOzhYWngMDA+Hn5/e3Dg7oCyGkKK4dtFarRVRUFAghQodO3vq073Vjn9DJsux5iUrrLq7Ehq/ZN23aNJhMpr9tl05JXM4TvLVy9uxZWK1WJCUldXtb9pFXw4YNQ25urscGzO5aLoQQlJSUoLCwUHDN6XS6815bzDE4wH7hOS8vDxaLxSk44EK/ye3pD1YWRVHw9fWFr68vhgwZApZlhQ6djgmder2+x9b4+cReaBQKhVPjtL9TS2hJXHoZx9wVmUwmRKB0B4PBgMzMTFgsFkyZMgVarRa5ubl9WsnYYrEgKysLLS0tmDhxIvz9/bu9LUd6+n77hWd+LaChoUEo7ghw7hl+vWYg1NvqKf3t+9E0DX9/f/j7+zsldNbX16OlpQV1dXUiN1pvt4PuCfw6KuB+l05+zeZC6tIpiUsv4pi7wmcOd1cI+ATEsLAwjBgxQrBWeurKsqer2+ITNbVarVOEWn+rimy/FsAXd+TdM7W1tSgsLIRCoRAGsMDAQLcHsYEyEPQHy6Uz7BM69Xo9fH194e3tjaamJqEdNJ/QyQtOf3KddZSX1ZHYWK1W4fkLoUunJC69gH0JF8fcle4IAcuyyM/Px9mzZzFq1ChERESInu+LSsaEEJSVlSE/P7/dRM2OtuXujdKb2e+O7hnHEih5eXnw8vISrJqAgIBeSRQ8nwwEcbGHZVnIZDKRq9O+HTS/rqbVakXVA/ryPPH77A7tiY1j47TXXnsNc+fOxcyZM3txzz3LwL5T+iGd5a50VVz0ej0yMjIAcA29vL29nV7jScvFnSRKq9WKnJwcNDQ0YPz48ULJEFfbAro/oJ3v8i+OJVDsB7GioiIYDAZRcACfKDiQyr/0t+irznAViuzYDtpkMgnnqaCgAEaj0al6wPkM4rB3i3WV9sRm27ZtPVqn7QskcfEg7uSudMUtVllZiZycHERERGD48OEdVjI+X2sufNl+lUqFtLS0Dt1GA01cHHE1iPHrNTk5OULnR5PJBIPBMCCsgoGwj/a4k+eiUqkQFhaGsLAwAIDRaBQFcZjNZlGODR+p2Vt4slwRLzZ8/52BhCQuHqArJVzcEQKGYZCXl4fq6mqMHj1auGnaw9NrLu0N6OXl5cjNzUVMTAwSEhI6HaTsxaW95zqjP1kFKpUKgwYNwqBBg0SdH1tbW1FcXIwzZ86I1mv6Y38UYOCsDwHdy9BXq9Wi8+SY0MkwjFOHTk+KTVfcYu7Ahzf7+Ph4bJvnA0lcekhXS7h0JgRtbW3IyMiAXC5HWlqay1L0jvTGmov9DNde7JKTk4WZvDvbArovEP15EKQoW+fHyspKDBkyBGq1Gg0NDaitrUVBQQGUSqVovaY/RDhdiJZLR3gyodNdeuIWaw+dTufSJd6fkcSlB/C5K10pONmeuPDlUvLy8hAdHY3ExMQeVUbuLva+Xt4cz8jIgEwma7d7ZXv0VFx6+t7ziX1wQExMjBAc0NDQ4BThxLcV6ItF54EoLp7cX1cJnXw5oYaGBpw+fVoIjebFpqvh6b1RxVuv10Or1Xp0m72NJC7dwD53paslXGiaFqwcHn6BvL6+vkuWgf02PbnmAnDfsaqqCtnZ2Rg8eDCGDh3araZN/LYc4a2jzt4/UMTFEVfBAfxs2X7Rmbds/Pz8zksNrYEoLr1dFdlVO2j78HS+dp199YDO9tmT4mK1WmE0GiVxudBxt/1wezgKQUtLCzIyMqBWq5GWltatoovuRHh1ZVsAkJeXh6qqKrfWfDrb1kAVCHdx5/spFApRyXqj0SgEB/BVhO2TObVaba+IgCQuHcO3g/bz8xMsUL56AN/YTqVSicTG0d3paculra0NAKQ1lwuVrrYfbg8+WowQgtLSUpw6dQpxcXGIi4vr80rGABcRBXDJkWlpaT2KUPHEmsuFKkxqtRoRERFCFWH7dYDi4mJRzTQ+OMATDDRxOd8l9x2xr3kGcFYEnwvFuzu9vLxEOTYsy3q0JbRerwcAyXK5EHFctO9JtizvFsvIyEBTU1OHeSJd2aYnLJeamhqhEOa4ceN6HPp4IS/oexLHdQDeNdPQ0CDU2uJny7xl093Ba6CJS1+X3HdELpcjKCgIQUFBAJwTOnU6HeRyOby9veHj4+ORtTWdTge1Wj3gCq5K4tIJnuq7wtPW1gaWZcGyLKZOneqRGU5PxYVlWRQUFKC0tBSjRo1CZmamxwagnlofA8Vy8eSAbe+a4WttOfaz705GumMU4ECgvyd9OuZCmc1mIem5sLBQlHjb3YTOtra2AdkQTxKXduA7z7W1tcHLy6vHwkIIQXFxMQoLCwEAycnJHpuJ9ERcXLUgzsrKOu/lZDz93gsJmUwmmi3z/ewbGhqE4ABfX1/BquksSXCgDFK8GPYny6UzlEolFAoFwsPDMWjQICGhs6mpSUjotG8H7U4gBy8uAw1JXFzAu8Hq6+uRk5OD6dOn9+iGNJlMyMrKgk6nQ0pKCo4cOeLRQbO7gzDfDyY4OBgTJkwQxK4vapW1996BwPkWQMd+9nySYENDg9D1kQ+lDQwMFGa9/H4OlOPKT5gGkrgA4gV9x4RO++oBfCCHY4dOx++r1+sly+VCgGVZmM1mIZywp2Z5fX09MjMzERAQgLS0NGFbnoruArpuuRBChLbII0aMwODBg0XPezr67ELJ0O+vOLYY1ul0QiSafXCAfSuEgQB/7geiuLjaZ4qinM4VX+WBbwFBCHHKsfF0AuXKlSvx/PPPix4LCwtDVVUVAO64P//88/jwww/R2NiIyZMnY926dRg1alSXPkcSl3O4aj8sl8udclK6sr3CwkKUlJRg2LBhiIqKEg3afSUuJpMJmZmZMBgMmDJlisvwRk9Gn/0dLJf+hH1wAJ+3wYfS8oPH4cOHhRwcf39/j0Y2eZKBarm4m+diX+WBbwHBJ3Q2NjbiyJEjeOCBBzBs2DAYjUbk5eVh+PDhHrkvRo0ahV27dgn/2+/vK6+8grVr1+KTTz7B0KFDsWrVKsybNw/5+fldCoeWxAXtl3Dp7loGv45hNpudBnB+230hLnwL4oCAAIwbN67dRWBPr3W42pbFYoHBYOg0vFKyXHqGfSOuwYMHY8+ePUhISEBzczNKSkrQ1tYGrVYrrNf4+/v3m6gk+z5IA4nuln9xTOgcMWIEAgMDsWHDBuzduxfjx4+Hn58fZs2ahddee82p9UZXkMvlCA8Pd3qcEII333wTTz31FBYtWgQA2LhxI8LCwvDll1/irrvucv8zur13FwCd5a7Y56S4e4HX1tYiMzMTISEhGD9+vMsB3JMZ9UDnbiz7FsRDhw5FdHR0h9/Hk+LnygpqamrC8ePHYTKZoFarhVm0Y9OngTSoDIR95c9DcHCwsF5jNpuF9Zr8/HyYTCanNtB9ZTnwLumBcGzt8VSGvlKpxMyZM3HkyBEoFAp8+umnOHjwIH7//fcet34uKChAREQEVCoVJk+ejNWrVyMuLg7FxcWoqqrCxRdfLLxWpVJhxowZ2L9/vyQu7uDYftjVRczfVO5cLCzL4tSpUygrK8PIkSMRGRnZ7ms9LS6uSsrwWCwWZGZmorW1FZMmTXLrovSkWwywDWr2DcYSEhIQEhIiuGz4pk/2UU/ulIiRcB9XC/pKpVIoV++qgjDLsqJs9PO5sNzfclzcxdMZ+jqdDlqtFiqVCtOnT8f06dN7tL3Jkyfj008/xdChQ1FdXY1Vq1YhLS0NOTk5guvUsSpHWFiYUOTTXf6W4uLYfri9C5i/QDq7WPR6PU6cOAGWZYVw3o7oSAy6A03TsFgsTo931IK4IzwdLQZwx5CvnzZ+/Hj4+/vDbDaLOgzy/VIaGhpQUVEBi8UCuVyOsrIyBAYG9tv+9gNFAN2p5eZYQZhfA6ivr0dRUZGozlZgYGC3yhV1ZX8Hmrjwng5P7renQ5Evu+wy4e/Ro0cjNTUV8fHx2LhxI6ZMmQLA2RLvTn7U30pcOmo/7Ar+AulICPjijhERERg2bJhbM5besFzst2dfWiYhIQExMTE9qn/WEyiKgl6vR25uLuRyOVJTU6FWq11u37FfSnFxMaqrq4WBje9vz7vR+utCdH+lq2WLXBV15EufVFRUID8/HxqNRmTZeLKX/UC0XPjr2pOWi16vF8rP9Abe3t4YPXo0CgoKsHDhQgDcuDZo0CDhNTU1NV2uMfi3EZeu9l0B0OGiPsMwOHnyJCorK5GUlORycaw9utKN0h3sLQ2r1Yrs7Gw0NjZ2u7SMJy0XhmGQm5uLwYMHY9iwYW4PFhRFQa1WQ61WIzk5WVTCvrS0FLm5ucJCdGBg4HlvZTsQ6Wl2vn29s7i4OFitViGZk3dr2reB7uk56e/Z+a6wH188Be8W6y1MJhPy8vJw0UUXITY2FuHh4di5cyfGjRsHgFuX2717N9asWdOl7f4txKUnJVxkMpmT5dLW1oYTJ06ApuluFXfsLcultbUVx48fh0aj6bQFcUd4QlwIISgoKIDZbEZsbCyGDRvWrf3gcSxhb78QnZeXB4vFAj8/P+E1vVVV2J197a94uvSLXC53cmvatxfmz4l9cEBXPn8gWi4MwwiTUk/h6S6UjzzyCBYsWIDo6GjU1NRg1apVaGlpwS233AKKovDQQw9h9erVSExMRGJiIlavXg0vLy8sXbq0S59zQYuLq9yVrt5cjkLAt/qNiorqVo8TV9vsKTRNQ6/XIz09HbGxsYiPj+/RINLTaDGz2YwTJ07AaDTCy8urR4U52xM5x4VovV4vJA6WlJSApmlBaAIDA/tFF8i+prfriqlUKoSHhyM8PFwIDuDPSWlpKQCI2gp0toY2EMXF071cAM93oTx79iyWLFmCuro6hISEYMqUKUhPT8eQIUMAACtWrIDBYMCyZcuEJModO3Z0WeAuWHHpjhvMFbzlYrVakZubi9ra2m419LLHk+LCMAwqKirQ1taG8ePHC7NIlgWqqwGaBpRK7sdiARobgZYWCkFBBOHhgKtUl55EizU1NSEjIwN+fn5ITU3FwYMHe722mH0yGl9VuKWlBQ0NDUJ3T17keqML5EBa0D9fFpZ9cACfIOiqCRcvNK4mAANxQb83Whx7ugvl//73vw6fpygKK1euxMqVK3v0ORekuHSn/XB70DSN1tZW5ObmQqlUdrnVb3vb9ES0WEtLG37++RSKi/2RlZWAxx4bhJMne35hq1RTMW+eAdddR+OSS1i4E1LvGGbMBxH0RfFJ+8TBuLg4l10g7V1oXXXXDFT6siKyfRvoIUOGCE24XE0A7PuiDLTz0hstjqXClf0Ax9wVT1QytlqtOHXqlOBu8sSspLuWi9kMHD9O4d13Zdi0SQZABSC1x/vjiMkkw88/a/Hzz+LH1WqCRx5hsGwZA3tPFx9mXFdX5xRE0B+qIjt2geTdNXxwAABRFJqnGnP1N/pTuX3HJlz2fVGKiopgMBgES6ahoWHABGx42i3G14obaF0ogQtIXBxzV3qa2WuxWJCdnQ2TyYSYmBgkJiZ6ale7JC4NDcCaNTK89Zb7p8rXl2DyZIIJE1gEBwPe3gTe3oC3N0BRgF4PtLUBZ85QKCigUFhIoaGBgkpFcOYMBZPJ9XEzGimsWiXHqlW2fbnhBhOmTs3BiBF6l22a+2NtMY1Gg8jISCGXg59B8425+KoBvRFe25f0Z/edY18Uk8mEoqIiNDY2Ijc3V6gezJ+X/mpt9pZbTLJc+gA+d4VfxB00aFCPL7qmpiacOHEC3t7ewsKjJ+ksFJkQ4JNPaNxzT8eD2sKFDG6+mUVDQxMOHGhGTU0sDh2iUV1NYedOCjt3dvUipxAVRRAZ2YhhwwgmTfKBxQIUFlLYupVGUZHz9r74QoUvvpgIAIiMJFi/3oK5c22DWH9vFkZRlKgxl3147enTp4VmT7xV016vlP440DnSnyyXzlCpVNBqtWAYBklJSUL14IaGBiFT3LENdH/4br3hFuvtUOTeYkCLi/2ifUtLC2ia7lExN74GV0FBARISEhAbG4uMjAyPZtMD7Vsuu3ZRWLJEgdZW1zfJJZeUYuZMBgEBkThyRIZDhyhce60cLBsCwBZgQFEEKhUgk3EL9jIZ90PTgE4HtLVx2w8KIggJIZDJgNpaCjU1FMrKKJSVBSA9Hdi40fbZgwYRzJrFYvhwgqoqYNs2wGAQ30Tl5RSuuMKW2LhhgwVxcf3PcukIx/Bavv9GQ0MDsrKyROVQ+KoB/dkisGegLZDbr5naVw9mWRZtbW1oaGhAbW0tCgoKoFQqRW2g+yo60NNuMbPZDLPZLLnFzieOuSsymUxYa+kOZrMZWVlZaG1txcSJEwVfsKdLtfDbtBeX336jMH++62zzyZMZREU1oqiIxf79g7F9e/uDQ3w8i4QEguhoTkSysylUVFBoagKsVueBur6eQn09heBggqgoguHDCSwWoLbWCL1eDqNRgZYW7r2VldzPH3/Y3h8czOKSSwh8fYEff6RRXi7+jNtuUwC4CImJZmzZQhAf36XD1C86UTo2e+IHtbq6OqFqgNVqRWNjI7y9vft11YCBZLkA7e8vTdNCcEBMTIwowbasrAy5ubmC16E3ogM7wtNuMZ1OBwCS5XI+4HNXrFaraGYjk8lgMpm6tc2GhgacOHEC/v7+mDp1qsjH7ulseoC7OaxWBt9/T2PpUmfX15QpLO66i8H//gds367AwYPBwnMaDcHo0eRcWDEnHE1N3A1YVESjqKjr+1NXR6Guzv4mdu0GVCoJAgIMCAlhUF6uRV0djS++4J7TagmuvZZBUhLB1q00Dh603WAFBUrwfYYeesiKJ59k4O690tfiYo99ORQ+4qm5uRlZWVmorq5GSUlJv64aMNDExd08F8cEW/voQPs+9rxV405r4e7SG0UrAUhrLr1NR7krrjLp3dke35GxvVL0vWG5/PGHHx56aIjT488/b8XQoQRvvSU7N+vnXFzz5zMYPpwTk5wcCunpPbsxaJqAZbs+yJjNFKqrvVBdDYSGEowfz6KtjROn+noK334rw7ffciJ0ySUMEhMJPvyQgtlsu9nefFOON9+UIyKCYNs2C2Ji2v+8/j4Q8oOaQqHA8OHD4e3tLUSh8RnqfNKgfbvhvqI/CbU7dDeJ0jE60N61ybcWtk/m9GQ1B0+7xXQ6Hby8vAaUO5NnwIhLZ7krXRUXo9GIzMxMGI1GTJ48Gb6+vi5f1x3Rag+DAZg4UYHCQrGwrF5tRWAgwRtvyJCfb7uIoqMtGD2aRmamDD//3PHF7+1tQWSkDEFBwJAhBEOGEISHE+j1nHXT3Mz/5iydpiYChgHCw4GICILISIKgIKC1FSguboBOp0BDgx8yMigYDM6fXVPDrdHwaLUEej3AshTMZgrbt8uwfTsnjuPGGQCocPy47btVVFAYM4Y75r/8osdFF7k+xgNlQKQoCkqlUpShzlcN4Gtv8eG3fVU1YCBaLp4YqB1dmzqdTrBs7NtA8z89CQ7wtOXC57gMpPPG0+/FxT53paMSLl1pSVxbW4usrCwEBQUhJSWlQ38sTdMwm83d3n+ezZtpLFkidoGtWGGFVgu8+64MFRXcd1IoWDAMBZalUFqqwLk0DCeuuIJBQgJBUxOFqioGWVlmnDrF+ZoOHHB/vwoLXT3Kzfh8fAhCQ/UgBLBaNfDzA0JCgBMnKDQ3i88BHyRgj0JBYLFQOH6cyxsJCiK44goWf/xBo7TU9vr58zk33Pr1BixZYls3Gyg3lCsBdFU1gF8X4JMGvb29RSHPve1CG4ji4ukwcPs20Px5aW1tFYWiq1QqUXBAV9bRWJb16LrbQA1DBvq5uLAsC6vV6lYJF3csDJZlUVBQgNLSUowYMQKRkZGd3mw9tVwaGoAhQ5SwWGyf4+/PYMaMWqxfHyYM0iEhDDQaPerqvGCxOJvA/v4Ey5czGDGCICODwm+/0di2jT63UC8D4PmF5NZWCq2ttgu7ogLIywNGj2aRlsaCpoGaGuC771wPihYLhYAAC0JCGDQ3q1BdTWHjRhmUSoKlS60oLwd277ZdgnfdpcFddwEffWTAdddxIjNQLJfOsJ8dA7Z1gYaGBpw6dUroANmbVQMGmrj0ZH8J4YJa+PVE3nXL/U0L/zc1AaNHa3DddQGYNIkFyzJCMueZM2eQk5MDrVYrnLvOggN6w3Lpr32MOqNfiktn7Ydd0dnaiMFgwIkTJ2C1Wt1q6MXTkwX9DRucc1WWLbNi40YaP/zAlegfNoxFdHQbDh9WobbWOdxw6FAWsbEEcjnw6qsytLS4f5HJ5QQxMQSJiQRDhgAMwyVQGgzcb72ecvl3Wxs6XJPJyqKRlcX9rVQSpKaykMs5l1txMSUKpW5sVKCxkTsGgwZxrrPmZgpffslderNnWxEeTvDll7bj9I9/aPCPfwBvvWXCsGEXhrg44rguYJ/HwVcNsK+75YmqAQNNXLqy5kIIkJtL46ef5Pj1VzlOnqRhNLr3XdPTgf/8R4mYGBaLF1tw/fUKDB0aBICLIuXznvjSQb6+vsJ5ccx76o1osYEYKQb0Q3FxXLR3N9O+I7dYdXU1srOzERYWhhEjRnRpZtHdBf1bbpHj669tnzNvHouhQ1msW8cd8mHDWrFggRIff0whP1+83qNSEcydy6KujsLhwxROner4Yh08mEVAQD0mT/bH0KEUEhN5QSHoileBD8euqWlGY2MkdLoROH6cxrFjFLKzKZfhzGYzhQMHbI/7+BAEB3PhyadPi19fWen8/t9/547HyJEMIiMJdu60XZIPPhgM4BJs3qzHnDmeDarwND0dtO07QNq7aqqqqkRVA3jB6U5o7YUmLgwDHDokw88/y/HTT3KUlDi/Vq3mrsfgYIKgINvf/I9Gw11zP//Mvf/VV1V49VUVkpMZXHedBUuWUE6lg/hJQHl5OViWhb+/vyA2vbXmMhDpV+Li6b4rLMvi5MmTqKiowKhRo0Sd1bqy3a5YLmYz4OenBCG2ff/uOwtefVUmCMtll+nQ0mLAa6+JLZXISIIbb2RQUkLhu+9ol4M5APj5EVxzDYslSxiMH0+gVFqxa9d+zJkzp9s+6paWFhw/fhw+Pj6Ii4uE2WzG6NEsAO67m0xc3syxYxSOHeMEJyfHWXA4VxpQVwdERxMMHtwMrZbCjh0dV7/MzZUhNxcIDWURFUVw9KjtBr36am5NJjOzDTExF6YlYw9N0+1WDeDrbrlTNcCRC0FcTCbgzz9l+OUXOX75RY7aWtvzKhXB7NkMFiywIC2NQWgoEUoedcR111mh0wG//irHN98o8NtvMmRkcD/r1rHYu1eHIM6QgUajgUajQUREhBAcwLcVKC4uFtocE0KE4ICeIK259JD2cle6gqO46HQ6nDhxAgC61dCLpyuWS2EhhaQk8drH999bcPfdciGyKiKCYOtWbwC2C2b4cBZPPcUgPZ3CmjWuT4lMRnDxxSxuuIHF/Pks7K9ZlqXP/e6e++7s2bPIy8tDXFwc4uLicPr0aaecIZUKGD+eYPx4Al5wjEbgr78obNokww8/0E4uu9JSCqWl/pDLOUtMJiPYsYMWCa89Gg1BTQ2NmhogLo5FXJwJu3bZvuiYMVrExLA4cECHAXq/dQtXVQP4KDR+9uxYeNPV/TNQxaW5GYJ1sWOHXBQ84udHcMklVixYYMWcOVa386cc8fYGFi+2YvFiK+rrKXz/vRxvvaVEaSmNFSvU+Phjo9N77IMD+DbQ6enpUKvVqKysRH5+PlQqlShoo6uL/ZJbrAd4su8KP2uorKxETk5Ol1vrdrTdzti5k8KCBbYLZ9IkFgsWsOfKs9i+Dx8VxvPcc1a0tQF33SWHXu/8vZOTOUG57joG7bWw5o+X4+K3ycT1dKmu5sKGq6v5EGJAp6MQGMiCYapB021ITk6Fn58PKIpAr5eBYTr/zmo1cPHFBBdfbMW77wI7d9L45hsaP/9Mi76L1Uph1y7u/+hoAl9f1imUGQAMBgoRESyamiicPk3j9GkNRo1qgFbrh4MHOUumpITGoEE+ePhhE1au7HkUnyc430EHarUaERERwuzZvhRKYWEhFAqFyIXGD2gDSVysVuD334Pxxx+RSE/3EgXEDBrEYv58K664woqLLmK65Pp1h6AggjvvtGDcOAZz53ph0yYFrr6a+7yO4MeuiIgIBAQECBanY3CAfVuBzlxokrh0E5ZlYTabPdJ3hT9JWVlZqK2txdixYwU/aU9wJ1rs0CGxsDzwgBWnT1N45hnu8AYGEjQ0iL9beLgeU6eqsHatzKmWWHg4wdKlDJYuZZGU1PnAxTAUcnOD8OefShw9qkBVFScijuHCLr4dgMHnfuwZBqWSRUgIV8gyNZVFair3u70eaSoVcMUVLK64goVOB2zdSmPTJhpbt1Iwm23izoUgU1AoCAIDWSgUQHW1ff4L97dGQ2AwUMjJ4bKur77agn37ZKip4Z5fu1aFtWtV+P13HSZM8GwFhYGEq6oBvAuNH9B4F5rFYunr3e0UnQ747DMF3ntPiZKSUcLjiYkMFizgBviUFC5SsbeZMIHFgw+a8cYbKjz4oAqpqQyCgjq+H+0X9B0tTvvW3Pn5+UKEoH0baMeJ8EAWF4r0QaynJ9oPO9LS0oL9+/fDz88PycnJHuvJ0dTUhOPHj2PWrFkun8/NpZCSYhOWRx6x4rvvZCgupqBUcvW6MjPFF8yIEVaUlAAGg1jbaZrggQcYPPMM06nbp6YG2LGDxvbtNHbupIUSML1NYiKLtDSCtDTud0IC6dCnfejQSfz1VwC2bh2MfftcVRMmGDaMhbc3ROssrlCrCa66yoqvvxZPVSMjWRw50neusr1792L06NHwc6er2nmG72vPWzYMw4jaP/eXBL3qagrr1yvw0UdK4Vr29TXjllt0uOUWJYYO7ZsJhNEITJ/uhZMnZbjmGgs2bHB2j9nz119/ISUlxS1BsG8D3djYKCqKqtVq4efnh3vvvRdDhgzBiy++6KmvJPDSSy/hySefxIMPPog333wTADc2P//88/jwww+FFsfr1q3DqFGjOt6YC/rEcqEoqsduMB5CCM6ePYuTJ08CAMaMGePRZk8dWS6FhWJhWbCAwbvvymA0cjP+6GgW+/bZBsyQEIKJE1ls2yZzCvVNTmbx3ntWpKS41nqWBY4do7BtGycoR45Q7a5d9CYFBTQKCoCNG7nvFRLCWTSXXcZi0SLnrpU+PgTz5zfgkUfCkJ5O4fXXZfjpJ9sxIYTCyZMy0DTB7NlWmM3A3r2uL0ujkcLXXysQEsIiJobg8GFuO+XlnKvstdeM+Oc/+2Z23h8GaFfY97UvLi5GS0sLAgMDhZYCnbUa7m1OnaLxzjsKfPWVAmYzdwzj4ljcd58ZCQn7MGZMgqj53PlGrQbee8+IuXO98N13CixaxK3vtEdXosUc+wq1tbWhsbER9fX1WL9+PT777DPExMTAaDSitLQU0dHRnvpaOHz4MD788EOMGTNG9Pgrr7yCtWvX4pNPPsHQoUOxatUqzJs3D/n5+V2uzNwnlgsAUXJkT7aRnZ2NhoYGjBkzBhkZGZg8ebJHy1PrdDrs3bsXl1xyiehxx8X7K69k8OOP3EU1YwaLqioW+fm2QfLSSxloNMDmzeILT6MheOYZBg88wLjsZ2+1Ap9+SuOll+QoK3N/AFMouBwXX1/AxwdQKllYLE1QKo2IiQlEUJASvr6cNVBdTaG8nPupqABKSwGdrut+B7WaYMECbo1o7lwu9+XkyZNgWRYjR44EwLkGfvihAJ99Fobff49wijaTyQjGjjWirk6J0tKOb9Jx4xgUFTkHEhQXt3XqvvAke/fuxZgxY9otIdRfKC4uhsFgEM6FfdWAhoYGtLa2ClUD+GrCvVE1gBBg/34Z3n5bia1bbRf9xIkMHnzQjPnzrZDJgP3792PkyJHw9/f3+D50laefVuHtt5W49FIrvvnG4PI1LMvizz//xNSpU3ss0gaDAX/++Sdef/111NbWorS0FHFxcVi4cCFeeeWVHm27ra0NKSkpeO+997Bq1SokJyfjzTffBCEEEREReOihh/DYY48B4CzfsLAwrFmzBnfddVeXPqfPF/S7S3NzM06cOAGNRiOczJ6W3XeFTCYTQgv52WlREUTCct99Vqxfz92EN97IYM8eFmfO2Fw3L7xgxa5dXEa9PbNnM3jnHavLUvQsy5WMWblShoKCzgd6lYrBxIlWTJsmQ3g4gZcXUFTEhQtnZgKlpXIAwZ1uJzKSIDnZAK22FTExwdBqCTQa4OxZCn/+SaOkpH2BMxq5yLFNm2QICyO47joGU6dqkJjIVXZtbW3FsWPHEBenxaZNPigra8V776mwcaMSOh23XYahcOyYBkqlFZGROlRXq2G1igc4Hx8Ckwk4flwGhYJg0SILvv/edrxjY7V47DETnnrq/Cz4D5QqAo4L+vZVA+Lj40VVA+zXBDxVNYBhgB9/lOPtt5WCC5QrzGrFAw9YMGWKcyqBq1Dkb77htpGf757wff+9HnPn9mwiO2UKg7ffhtPaqeP+AvCIIGs0Glx22WV4++238cwzz+Caa67B7t27UVlZ2eNt33vvvZg/fz7mzp2LVatWCY8XFxejqqoKF198sfCYSqXCjBkzsH///gtfXAghOHPmDAoKCoTQWfvKyJ4uj89fKAzDQC6Xw2IBRo2yzUqeftqKDz6QwWKhMHYsi61bWdTX2wa6r7+24Ikn5KKEwsBAFjfdlIEXXxwOuVx8IRLCNQ177jk5jh0T31gURQRXmI8Pt+4REwPU1gL19bWorQ3C2rUywb3QHTgLxguOZff9/AiGDSOIjiZgWW4BPzeXcpkYCXA+9HfekeOdd4YiPt6Aa6/VYdSoY0hJiUT8OTUdPNiEl14y4dFHzfjPf5T44AMFGhq472w2y1FeLodCwcDf34SmJtsx5wMglEoCs5nC998rkJTEQKkEjh3jjueaNSqsWaM671ZMf6azaDH7qgGEEGFNgA8O4MWIFxvHltbtodMBn3+uwLp1SiHRUaUiuOEGC+6914zExPZcwSzOnJHjs89U+OCD7pc3WrSIu5Z/+EGPWbO6JzJ+ftw+Nje3/xp7V7+naGtrg1arha+vLxYsWNDj7f3vf//DsWPHcPjwYafnqqqqAABhDmGpYWFhQvfPrtBn4tKdGZDZbEZ2djZaWlowYcIEoU4TjycrGPPwFwovWtHRtov8sces2LyZFnqhZGcDDGMTltdft+LOO+Uit83ixQxeecWIEyfKQMhQcBFbHIcOcRFmu3e7vjgJoTBhAov772fAssAXX8jw4Yf82ku48Dpvb4KRIwkiIhqgUjUhPj4EYWFeqK2lUFrKNRCTywm0Wi6+n/shUKu5jpSnT5tQWWlBYKAPysu5ki7NzRQOHbJ9D4oimDiRYMYMFl5eQH09F2DgqoJyUZEGa9ZooFLNxe23Ezz8sBWDB9sGuqAg4PHHzVi2zIzXX1di3TqlIJAWiwxNTTKEhjIIDDTj5Enbepq9iGZnc+s2ixdbsGmT2Ip5+WUjli3r/5FSvU1XQpEpihKqBvDdH/mqAXwOh0ajERV4dKwaUF9P4b33uEX6xkbucwMDWdx5pwX//KcFISHOotLUBKxYocb//qcAML/DfaRpgoULrfDy4ssWUdDruTB7nY6zMurqbPfSVVdxItOdig82cWn/+DEMA4qiPCYufJKmp5Ioy8rK8OCDD2LHjh0dTgwcr5HuhrAPGMulsbERJ06cgI+PD9LS0lwmI/WGW4y/UBiGwZNPyoSbZNQoFtnZFHJy7OsK2f6+/noGjz4qXrh/6CErXnqJASFiwcrPp/DMMzJhzcYVc+eyuPhiFsXFFB56SC7sBwBMn84iNrYEanUwamq80dDA4vRpC06cCIDZ3LkrzBnuJqQoLhpswQIWvr6ARsNlOx86ROH4cRqHDlE4dIh7R2QkV/G4rQ04c4ZCbq7zDWYy0Xj/feCjj2jceCODBx6wIC7ONsD4+gLPP2/GLbdY8MwzKvz0k00kampkqKnRYMoUKyorKZw543ysWJbCpk0KxMcz8Pe3RZ89/rgajz+uRnl5KwZgt1iP0ZM8F1dVA3gXGl81wNfX95xFE4RPPw3C22+rBCszNpZbpL/hBgsc85kJAT76SIHlyzu2hJKTGdx6qwUXXWRFayuFxkbbT3AwwYwZVjiu/bMs8PbbSjz7rM3yvfpqL9x4owXvvddx5Jc97oiLp3u5ANyar6fWkI8ePYqamhqMHz9eeIxhGPz111949913kZ+fD4CzYOyrmdTU1DhZM+7QZwv6fEZ+ZxBCcPr0aRQVFWHo0KEYMmRIuzfI4cOHER4ejqioKI/u644dO2A0zsB119kWbJcvt+L1111rc1QUcVp8f/hhK158kQFFcd9p+/btmDFjBrZv98btt7tOoKRpgjlzCAYNIsjMpJCRYRuwIyO5NY2oKIKsLBpbtjBobHQWXIoiiIjg9omLYON6tzAMV6ZFp+NmfG1tOPdDoanJgtJSgtpa1zd7TAzXK8ZiARQKIDOTEu0/ZzlZYbG0oKjIF62trrPcZDLO0li+3IJhw5zdmTt2WLF8uQxnzogXygMDWcTH26LF2uOii3TYs0c86/vqKwPmz/fsBGTPnj1ITk7u933OT506BYqikJiY6PFtGwwG1NQ0YuNGBT76KFJwY44YYcTy5UYsWkRDLhdf41lZNBYt0ojynOwJC9Nh7FgF6utlyMykRYmUruCsaRbz5lkxd64V48bZ8mEIAd57T4EnnrBd06dOtSE83L3hr6kJiI7mzm9tbStcrdfzXUmnTZvm1jY7gxCC6Oho/PbbbyJB6C6tra1O7q3bbrsNw4cPx2OPPYZRo0YhIiIC//rXv7BixQoAnLcoNDS0Wwv6fSYufB2xjjCZTMjMzIRer0dycnKneQTHjh1DYGAgYjpqb9gNPv/8AP7xj5nC/2vWWPHYY5yw0DQrlF8BgLg44lSw8ZFHrPj3vxlRPsj27Ttw8OAcrF7tXJZGqSS46SYWkZEE778vQ22tbY1hxgyC0FACnQ7YtYsWlcLQaq2YMKEKl16qxLhx/ueEBOhqe4m6ujrk5eVh2LCLcOIEZ6VkZHC/i4vF342mCSZN4ooAKhTA0aPiXi1jx+oRFGSE1eqPv/5yPYhQFOfeeOQRvp4Zh8FgwN696SgtvRirVilRXy9+f0wMC4uFC0Vuj8jIVgCyc+tIHJMmMdi5U99pzSl3GSjikp+fD5lMhoSEBI9ulxBgyxY5XnhBhaIi7lwMGWLFvfdWYMKEYrS2NgtlUFSqIKxaFYlNm1xHU6lUXACJJ/K2goNZPPmkGf/4h22cqa2lEB/P5aBoNATV1W1ubYtlgYAALQihUFjYhtBQ52GTD4RITU3t8b5zn8kiODgYOTk5GDp0qEe26cjMmTOFaDEAWLNmDV566SVs2LABiYmJWL16Nf78889uhSL3W7dYXV0dMjMzERgYiLS0NLcKMvbGmgsA/POfM4S/H33Uimee4WbMoaFm1NTYRu7p01mnAXTFCiuef14sLEYj8MYbKfjzT2dhGTOGxUsvWfHOOzJ8/DF3ehITWdx0E4vKSgqffkqLwoQjIwnmz7cgOvo4Ro9uwJQp48+JcOdzBquVKzAJAMHBEEKhKYoCIQShocC8eQTz5tmOaWMjkJFB4eBBGj/+SOPYMRrp6dS59xGMG6dDZGQbTKYAnDihxIkTXHBAZCRXdaCmhsLvv1MidyEhFDZvVmDzZgVuvNGClStNCA3lXDgyGcHtt5txzTUWrFmjwrp1tuNdUkJDoSCIjGSdBEahICAEKC/3gUJBcMklddi+nXMRHjokg5+fDw4erMPw4coe56gMlGgxwPP5OH/9JcOzz6qEQIrgYBaPP27GrbdaoFQGAAiA1crgv/+14JFH2invYIfJRMGhrJ2IpCTmXBsKFioVkJ9P4+RJGgUFtFMgS10djYcfVkOhAG65hROYkBCCyy6zYutWOQwGCpmZNMaM6TwIiKY5t21zM/fjqviHp91iZrMZVqv1vE5aVqxYAYPBgGXLlglJlDt27OjWPvQ7y4VlWRQWFuLMmTMYPnw4Bg8e7PYNkZ2dDaVS6VGV/+YbGjffzAnbyJFc/kpDgxzx8WYUFYnzXHbvpkU+2ccft+K558TCUlUFXH+9AgcPOs+2b7+dQVwcwUsvyaDTcRn+y5czCA4GXnlFhupqbkNDh7JYuJDFlVeyGDq0BRkZx2GxWBAXF4fY2FgAnBm/fr0Mzz3Xs/nDpEksbruNwfXXs06+cgAoLga2bJHhu+8oHDkivrFGjGAhl5tw9qxc6OmiUBCMGcMN/BkZlFMyKQD4+hI8/rgJt97ahkOH9mHWrFnCNZCVReOee9TIzBR/VlgYt3/FxeLjKpNxLkAAmDPHit9+Ex+Pu+/Ow+23twkRUN0pZf/XX39h3Lhx/d5yycvLg0qlQlxcXI+3lZVF47nnVNi1izte3t4E999vxv33m4V1LbMZuO02tWjtzF1CQlhERtYhPDwA0dEEUVHc+WVZ209cHIu5c7naYlYrcPo0jbw8Gm+/rXRymX76qQELF3LuUKsVCAy0nauWltZO98dqBQYP1kKvp3D4sM6lG7e6uhplZWWYMGFCl7+vK+rr6xEbG4uWlpZ+f225os/EhRDi1D7YaDTixIkTMJvN3XIz5OXlAQBGjBjhkX1kGMDb22a+R0XpUVbmhYQEKwoLbYPQlVcy53JKbAPbk09a8cwzYmHJzKSwaJECZ8+KB1StlmDZMgZ//EHj8GFuG2lpLC65hMXnn9NCnkt8PIt//5vB1VezoCigoqICOTk5GDIkBtnZFrzyynBkZHiuOkF73HMPgyeftAp1xvhy/Xp9ME6dGoUtWxQ4cMB2LKKjDYiPV52zerjHOXcaA5oGDhyQuaw2MGyYFUuXHsSDDyaJInAsFuC115R49VWlKAlTrSZITmaQnt6+QISHs5g0icGPP9oGvLAwMzZu3A2TybYoHRQU5HZex0ARl9zcXGg0GmEC0h3OnKGwapUK33wjByFc1OFtt1nw2GNmwVXU0gJceaWXYM10heBgAxQKFlVVXm5VoAgOZnHddVbccINFcKmazcCTT6rw4Ydif/CWLXrMns1Z4a+/rsTzz3P39pEjuk7Lyxw7RmPmTG/4+xMUF7fBlYFSUVGB6upqjBs3zp2v2ilnzpzBmDFjYLFYer0Fdm/Qb8SlpqYGWVlZCA0NxYgRI7o1gzx16hTMZjOSkpI8so8zZyqQns4NarGxzSgu9kNoKIvYWAiWR3Iyt7hs3+r36aetePppsXvuxx9p3HabXEgW5Bk+nMWoUQQ//MD1b/H15aKziooo4bNDQgiefNKKO+5goVTa+tScOlWHRx6ZhbNn+9a7eccdOXjwQQqJibaco+JiYN06GTZssLnxwsIIJk9mUVtLCeKjUhHMmMHAYuH6dLgaUK680oLVq02IjhZfqu1ZMaNHM2htpVw2jwI4992111pFIcsAcPBgPXx9a4V6TwAEiyYoKKjdrOuu1JPqS3JycuDt7d2tNcn6egqvvqrERx/ZyrQsWmTBM8+YEB/PnZeqKgrTp3uhqsozobjh4W0YPLgNSqUMarUcKpUSarUCNM19/t69MlEwwJgxDJ5+2oRLL+Xuva+/luO++9QwmWy5Ybm5bfDz49aJ/Py4ycD77xtwww0dB3m8+64CTz6pxiWXWLFpk+sM/bNnzwrVQjxBbm4u5s6di+bmZo/mzpwv+nzNhWVZ5Ofn4+zZs0K0Qnfx5JrLiRO2wR0Azp7lLsQ5cwi++sq+kRUrcj2tWOEsLP/9L41775U7DZzXXKNDdbVGEKbLL+dm8l98wf2v0RA8+CCDhx9mwFcWMRqN+N//inD33SlufY/oaIK4OCKKFouKIggP52Z4Oh2E3ACu3THQ0GDGoUO1aGyMxoEDndcw+/jjUfj4Y+7vLVssuPRSToBfe43BbbeV4uOPafzwwxCUl1P48UcZNBqCsWNZtLRwbqwdO+Tw9SW48koriopoZGeLxeLHHxXYsUOORx4x41//Mgsl1kePZvHHH3q8/roSa9YoBfdXVpYMAQEE48YxOH7cecZHCBeynJLC4NQpW1DE5MlBeOstb9x2m60bZH19PSoqKnDy5MnzUhqlN+lOKLJOB7z3nhJvvqkUwopnzLDi+edNSEnhZvunTtGYMMGzVUMjIhioVAx0umA0NrIwm1lYrQxiY+tw6aVNuOwygtDQABw65I8vv1Tgl1/kyMyU4cYbNdi2TY8JE1hcf70Ver0JDz7IRYi1tnKu2zlzxB4F+7D+9ti/nzvXU6e2P754usUx34Wyv9at64w+tVyampqQkZEBABg7dmyPk4VKSkrQ0NCAlBT3Bt72sFoBrdY2S509uwa//x6KyEiC8nLbiV6+3Io335QJg9qkSSz++MMiMpn37aNwySUKkftGqSR44IFT2Lt3CNLT1fDyInj1VSs2bZLhzz9pUBTBrbeyeOYZK3itJQR46SUjXnih44i5pCSumdgVV7AICyP4/nsZ/vc/WhTG7C6+vgQzZ7KIi+PCmZuagKwsSlR4sj1UKoKjRy1Qq8tQWVmJ5OSJ+O47Gm+9JcPx47ay+iNG2Pq3AJybIzaWoLCQdnnTjxvHYP16I4YPF7sx2rNihg1jnMqEKJXcmo/FwvW0mTmTEZWPmTCBwW+/iaPJ+NIo9fX1aGhogMVigb+/PwIDA1FcXIyUlJR+7xbLzs6Gr6+vWwUQLRau9P1LLykF62DMGAbPP2/C7Nnc4HzwII158/qmFLWXlxVTplRi9uwKzJrFQiYLxsqV0di2TYXISBZ//aVHSAhBYyOQkKAVwpifeYarCAEAvr7c+eqsVBC3vuONhgYau3bpMGmSaxca32TPU275P//8Ew8++CCKiooGpMD0mbiYzWbs2rULgwYNwvDhwz2i+GVlZaiqqsLEiRN7tJ0XXzTj3//mLrzbbrNg40a508LzqFEs6uspVFXZwoQPHrRgxAjb4ayoANLSlMJreN55x4IPP9QjK8sPPj4Er71mxauvylBYSEOrJfj0Uysuv9x2Af/0E4XFi9uPJ549m8X48eUYPdqMDz+Mxd69vWtCz5lTjhkz9GhsHIIff5QL4aft8eST+Xj22RgAnEj+9ReFlSvlgmssOJjFyJEszpyhceYM99iwYQyCglgcOOBs8alUBM88Y8K994qF3GIB/v1vJd58U+y+Cg1l4edHUFDgXDTUYKBA0wS33GLBhg3iY3zmTCscikCc+w4Eer1eEJqGhgYolUoEBQUhKCgIAQEB3W433ZtkZWXB39+/0zywHTtkeOIJlXC8YmJYPP20CddeawVNA7/+KsP//V/3Ort2F4oiSEpiMXQoi0OHZCgrs11z//xnFf7v//JQXW3Ao4/OwNmz3khNNeCHH4xQq+X4v/9T49dfufMxf74FX33FJU/y4nL33Wa88kr7IWonT9KYNMkbGg1BWVlbu6H9hYWFYFnWYwFFP//8M1avXo2srCyPbO9802eOPKVSiSlTpmDkyJEeMyV76hYjhKCkpEQQFoALZ3QV0VRVRYlE4+mnGZGwmEzA0qUKJ2F59FErPv1UhqwsP/j6MnjsMQaPPy5HYSGNqCiCP/6wCMLCxdYrXQqLRkPwwgtWlJWZMHo0i1dfjcLNN8f3urAAwG+/ReLZZxPxxhtKFBXRuP56Bk89ZUVysusZ3erVw6BWq7BmjQwUBcyYQfDbb2Z8/rkBcXEM6upo/PWXHAoFzrWqJcjPl+HwYTmSk2swYoTYH24yUXj6aTUuv1wjyilSKIAXXjBj0yY9AgNt+1JTQ6OigkZamng7BgMFjYaAZSls2KDEZZeJnx8yxAcHDjhbaRRFwdvbG9HR0UhOTgZN04iNjYVcLkdxcTH27t2LI0eO4PTp02hubvZ4vbvu0plbrKCAwrXXanDttV4oKJAhKIjFmjVGHDmiw3XXWfHtt3L4+vqcd2EBOFdmVpYMP/4ox6xZVqxfb8Ctt3LWxocfhiM/fwouuSQVH33UAI2GwYEDGjz+eDmOHj2KGTMqhO24CjLorKke3zZj0iSmw5wxT7vFBnKjMKAPxQWAxw9cT8TFYrEgIyMD77xje/+TT1rbdQHV19suyJQUFg8/LP7c5cvlojUbALjuOgY7d3IRYb6+FlxxRStWruRKykyaxGLvXjNGj+YE6tAhCl5eKqdaXXI5wYoVVqxfb8Wzz8oRFaXCW2/17dLZ11/L8OKLcmRk0Hj3XQvuu8/14uhzz8mhVqvw8MPcMb3ySisOHtTh5ZeNCAjgXGG//SZHRASLoUMZWCwUjh8Pg9FI4eqrLfD2FhvZBw7IMXWqNz7+WAF7+/uSSxjs26cXiYlOR2H/fjmmTbNCrba92GDgQr4BYOtWOeLjWVx+ucVuW1749787zkKlKAp+fn5ITEzE5MmTkZaWhoiICOj1epw4cQJ79+5FVlYWysvLYTS6X3LE07QnLs3NXHTV5Mne2LFDDrmcCyvOyNDhnnss+OsvGXx9ffCPf3g2EtHbmyAlhcHSpRa88IIJX3+tR0ZGG+rrW5GRUYpPP92H3bt1+OEHPf7zHwNmzLDCYqHw6adKLFumRmAgwSOPcBbH/fersW+fCmlp/njySe78lZcnIjw8HGPHVgufWVlJ4/jxauj1euGxzhI2eXFJS+t4bOlKLxd38GRdsb6gz9xiAOca8+TH19XVITc3F9OnT+/S+1paWpCRkQGNxgsXXTRVeNxVUqS3N4HVCiECRaEgOHDAImpHvGEDjXvuEbtFpkxh0dwM5OXRCA4mSEhoRnq6PwCumOWHH1qh0XBuo9GjFSgsdNb9e++14rrrWMyY0f0KseeLtDQWs2ez+OwzImo/YM9DD5nw/PMmUBSFxkbg9ddV+OADLhpJrSZISmJQUMCguVl1bptW1NTQLo/N3LlWfPihEcHBtvNgtQIvvaTEq6+K3WRDh3KBEydPigcCPifGy4tg6VILPvrIdpyjolhkZ+tcZvXv3r0bEyZMcDkQEEKEwICGhga0tLRAo9EIEWjnMzDg+PHjCAsLE4JmGIZbV3nhBaVQ4PGSS6xYvdqIxEQihN96CqWSICaGhb8/1/rbagWOHJE5De4jRjAYP74NkZHlWLx4CBISbGVcDh6ksWaNLb/myy8N+O47Ob77TgF/f4Ls7DYcOybDlVd6ISGBxbFjOlRVURg61DaR/e9/DyMwsBILF14JAFi8uAUffGB16cokBBgxwhsVFTR++kmPGTPaF5iurGm5wzvvvIODBw/ihx9+8Mj2zjd9arl4epGqq5YLIQRlZWU4ePAgIiMjcejQJOG5u+5iXJYriY4mgrAAwBNPMCJhOXyYwoMPii2JpCQWVVUU8vJoDBpEMGcOKwjL009b8emnnLDU1gIajcpp8LzqKga5uSZkZNADQlgAYP9+GqtWyXHmjAK33lqM2bOdXUNvvqmCn58vdu+WISAAWLXKhMOHdZg1ywqjkcKRI3J4e1swZYrl3DblaG0FZs60Qi4XT0p27ZJj2jQvUXKqXA4884wZP/ygR2io7fNPneJCWCdNEl8rDEPBx4dAr6fw0UdK3H67bZG3rIyGn59PhyXXXUFRFHx9fREbG4vx48dj2rRpiIuLE6Ik9+zZg+PHj6O0tBRtbW29nu3P33P798swc6YXHnhAjbo6GomJDL79Vo9NmwznstF9PCosAFfF+tQpGQ4dkmHbNjl27ZK7tBry8mT4/HM/rFkzEhMmeCMtzQt5edx5nTyZxfffG/Cvf3EWy8MPq/DyyyZERXGBIYcPy4QEx+JiCmazs2Vy+eXDERJiq7oxe3Yu9uzZgyNHjqCoqEhoOQxwkXAVFTTkcoKJEzu3XCS3mI2BFzzdAXK53G1xsVqtyMrKQkFBAVJSUhAdHY/ly20zF768vEJhu9mHDmVRU2NfN4vFo4/aPq+mBvi//1OIylAkJLAYNoygpITCoEEEDz/M4JtvuMP+7LPlePppLvKmshKIinLOo1i1yopLLmExcqTKZQ/6gcAnn8Ti999prF1rwdSpziKzYIEXfH19UF8PxMYSbNliwHvvGeDrS1BRocXRo3LMmWPFkCEsqqtp7N4tw4wZDGJjxduqqKBx2WVeePddsZts1izOTTZlis1N1thI4fBhGqmpYhdeayuF8HBuu//9L9d5MCjI9jlRUT5CtBtPVwSB75kyfPhwpKamYtKkSQgODkZjYyOOHDmCffv2ITc3F1VVVU5Jxj2FEILKSgVuvVWNSy/1wokTMvj5Ebz0khHp6XqMG8ciPFyLceP614CWmyvD5Mne+PJL26Tt8cfNSExkUFVF4/nnVcLAn5HBNcvz8eGs0OJiWiQukZFcpv9bb9nWjZYuHYWpU6ciMjISRqMROTk52LNnD06cOIE33uBEbO5cq8sKFfZ4uvwL38tloDIwR6t2cNdyaWtrw4EDB2AwGJCWloagoCDs3Gk7FHPnsjh+nIZaTUSVWEeOJKK1lg8/tAo5F4QAt92mEIUqBwYS3H8/I+SxPP64Ff/+N5coeN11tbjmmnoAODeoioVFqyX4+msLnn5ajmXLPB95pFQSKBQEQUEEsbEEQ4YQeHn17qz54YcV2LePxmOPWTFihLPIxMb6YM4c7g6+8UYrDh1qw6RJlbBYKPz2mxwUxZVdJ4T739ubYN48sThYrRSefFKNG29Uo6nJ9nhYGMHPPxtE1gghFA4ckGPiRAbBwbb9qaqiER7OQi4n2LZNjtBQgquvtq3DzJjhjU8+6fk54XumREVFYezYsZg+fTpGjhwJpVKJ0tJS7N27F4cPH0ZRURGampp6FBig1wMbNgzBpZcOwfffK0BRBLfdZsbx4zrccosFU6Z4IT5e67I6d3/h7rs1ePpp7j7RaCCUzP/8cwViYrhjk5FBg6K4SR0AFBTQOJcPC8D2+Dff2M4fRXEdFwcNGoRRozihGT9+PGSyIGzezIX+T59+vFPR9/Sai16vH9BrLheUuNA0DUJIhzdhRUUFDhw4gLCwMEycOFFomnPjjbZZUUEBd4NFRtoG29TURuzZYztcTzxhxdixtud37aLw22/iw7l8OYOXX+a2e9NNDN5/X4aWFgppaSwefbQSDMOgqYkgMlIsLCNGsNiyxYLrr+/5ABYdzVUsjo0looVss5mCxUKhvp5CcTGFM2colwOLlxeBv79nRWfNGjny8mg8+qgJPj7ibR8+zBWV3L9fhkGDCJ544hA+/LAFQUEsSkpo5OZyUV9+fgTZ2TKkp8uwaJFF6LfB89NPCkyf7o0TJ2znRKkE3nzThDffNIos0sOHubbM9m6PqioaWi0XlZeXJ8Pu3TIsX24LV33gATVuvdW9TozuQtM0AgMDkZCQgEmTJmHq1KkYPHgwjEYjsrKysGfPHmRmZqK8vBwGg+sscUcIAb79Vo4JE7yxcWMMjEYaU6dasWePHq++asIdd6gREeHjFKbdX3n7baVQmXvyZBZhYdy9zncbzcjgvgffoM/Li4gsl/h48diweLFzfUOKoqDVavHHH7EwGGQYMYLBkiVhItE/dOgQCgsL0dDQIExoJbeYmAtqzYUvGePKemEYBtnZ2cjLy0NycjKGDh0qXAhWK0QD65kzXPMh+/yNwYP1gtXi5cUVlOQhBHj+efE6y7hxLI4d49oAJyZyay4nT9KIjCT46isL1GoaLS0swsPFA9TVVzNYt86KuXO7v7YydSorlMAoLaVQV8cJiNHY9eOt11NOPmuaJtBoei44r76qQkwMiyeecM4xuPRSLyQkcDfWVVcZcfiwHvPnW2A2c1FfcXEsRozgyrx8/70CI0cywqyUp6SExty5XvjmG/G5uf12C37+2SBah8nJkaGighJZQk1NXIVef3+ChgYab72lFKKTAOD77xUIDNSCZT1/LQPi2fS0adOQkpICX19fVFdXIz09HQcOHMCpU6dQV1fnsjdSRgaNSy/V4PbbNTh7lkZoqBHvvFONX34x4IMPlAgO9sEff/R5kY4u8/HHtnsjIoK7DvnGiqWlXKUJXoBGjWJFa5jx8ayokd1jj7m2QqxWYP167nOWLbMgKMgm+tOmTcOQIUNgsViQl5cnrJuZTCaYTCaPrZsN9GixC8pyse93b49Op0N6ejpaW1uRlpaGkBBx6e/XX7fN2vgCdsOG2S6QKVMM2L7dVmP75ptZ2E8ofvmFxpEj4kOZmsriu+9kkMm43vM7d9JQKjlhCQsD2toYzJwpbgC0dCmDm25iMXt214UlONiK8HDOTbBvH41t23pvJsqylMt2xt0hK0uGl15S4d57zZg8WXzeamtpXH31VcjOliM4mODLL41Ys4azOo4f56zAefOsoGmCAwe4ENrp051zYv7xDw1eeEEJe4M2NZXB7t16jBtn+8zychr79skwf75tNsuynLjGxLCwWim89poKd95pG5CsVgoLFy5wq4RIT6AoCj4+PoiJiUFKSgouuugiJCQkgBCCgoIC7NmzB8eOHUNJSQmKi3W47z4VZszwwoEDcmg0BE89ZcKGDQdQWSmHv78PPv+8/yV5AlxViM7YuFEBPpI4IoI7qYcOcdf74MEEBQVcblpgIIvQUIJff7UJaHw8izVrbPdXewUrf/1VjtJSGoGBLK67TmzdKJVKhIWFYcSIEUhLS8PEiRMRHBwMhmFQUFCAvXv3IicnB5WVlTB11D+gEyTLpR/B96+2F5eqqiocOHAAgYGBmDx5MjQa51h9+9pgRUXcIMG7xgDON9/SYrsZ//lP2/ZZFnj+efFAPn06K9QfS0kh+OUX7jC//bYVkyYRVFZWITV1rOg9U6eyGD2aYNGirt30CQks5s9nUFcnR1WVZ90055N165Q4eFAmRAHZM2dOIObN49Zi7rnHgp079YiJ4Xq4/PEHVysqIIDg5EkZ8vJoLF5sEbm9AOC111S46SY1dDrbY5GRBNu26XHNNbbBQ6+n8MsvCqeEypISGsnJ3Hn/z3+UWLDAgpEjbdfBiBGhTgv9vYlcLkdISAiGDRuG1NRUTJ48Gf7+oVi/XovU1CB8+qkShFBYsKAF6elNmDiRwfz5s7B6ddB528fu0NJCuXRV2dPcTGH3bu7+GjSIO89793L/x8XZLJORI7m24Dk5tvtzyhQGmzd3fo+99x73mttvt8DFkCHAJ9RGRUVBJpMhJSUFo0ePhkajQXl5Ofbt24f09PQOLcz2kNZcekBvuBL4RX2WZZGXl4fs7GwkJSVhxIgRLv2hZWW2v5OSWKFOmH1UWG6ubaYzdSqLkSNtA9f339PIyrJt18uLoL6ei0YaPZpr8EUIhTvvZHDzzVacPHkSixaJw07i4gguu4zFE090zUUxdixn8v/yy8Dwl7vDG2+ocN11FlEiIwAcPMitxTQ1cUmre/bocPXVFlitFHbulCMmhkV8PIvaWhqbN8tx7bVWYVbL89NPClxyiZeo5YFGA3z8sVHk7gK4hMq5c62IjLRtIyNDhpQUBioVwU8/KaBWA3fcYbNiPLXQ3x327PHBtdcOw7p1sdDrFUhKMmPDhgIsXpyDsWMDsHDh+c+q7y5cUdGOe6zw6QC8y5avhBEXxwphyyNGsCKr5aqrLKKAnGefdW1VZGTQ2L+fs4TvvLNjobOHYRgoFAr4+/sjLi4OEyZMwEUXXYS4uDgnC7O4uBgtLS0dutAky6WfIZPJoNfrcfDgQTQ2NiItLQ3h4eHtvv7OO22DQUKC6xPd2mpfx8g2W7VagRdeEA/so0YR5ORwkWYXXcTi7FkK4eEEzz+vw+HDh5GRocPx4za3nExG8PrrVjz9tPvCMmECN+DZL1ZfSHzzjQK//qrAqlXO2ezR0T7Yvl0GPz/gk0+MeOMNm5uMpglSU62wWil89ZUCI0dy6zL2ZGZy+R183xyA6zL47LNmrFtnEOXP7NrFidaECbZtHDvG5VH4+xMcOybDzp1y3H57tvB8byz0d8SpUzSuuUaDxYu9UFhIIySExbp1BmzdasJTT8Xj5ps903L3fHPsmA/CwtoPxebnifw9wNcMjYtjceIEd09ygTG2+3vpUgtmzLBZAv/6l+vtv/8+N5lctMgqWEadwbIsCCFOE1g+9Jy3MKdMmYKwsDC0tbUhIyMDe/bsEao32AdpEEIkcelvEEKQlZUFX19fTJ48GV6dBKf/+aftEPz+e8eHIySEYOFC20z2f/+jceqU7T0xMUTI4L79dgbff89d5A880IoTJ/ZDrVbj1lvTRNv84QcLrr7a/dnu4sWM0/rOhcrTT6uxcGER4uPFroTFi71w7bUaUBRwxx3c4nxwMIuCAq7451VXWUDTBLt2yaFWA9Omid9fU0Pjiiu8sHWreGJw001WfP+9QRR5tm+fHCYTMHu2bRuZmTKEhbEYNIhFaSmNr78ehjfesGVXfv+9AiEhWvRmSbGmJuCJJ1SYMsULO3fKoVAQPPigGUeP6rB9uxxRUT6oqOh/18m0aVa8956hU9cXAAwa1L64yGRAayuExXo+EtLLC4LLbORIVliLATiXGN9eYdYsq8uGX9XVFL79lpvo3XOP+3lGfIRqZ6HIGo0GkZGRGD16NC666CKMHTsWWq1WFKTx3//+F59//jksFovHKm2///77GDNmDHx9feHr64vU1FRs3bpVeJ4QgpUrVyIiIgIajQYzZ85ETk5Ojz7zgnGLsSyLU6dOwWQyYfDgwRg1alSnJ9p+re2SSxghfJHHMQv8llsY8P2iLBZg1SqxtbF0KYNDh2jhfVVVFAYPNmP48D2Ii4vDihXiBfx//Ssfixe7Lyzx8Sw2bbpwXGDusGVLPGpqgBtv1Ise53rA+MBs5hbn//xTj9GjGdTW0ti6lXOL+fhwFk11NYVFi8SDmcFAYckSDTZuFB//mTMZ7Nypx5AhNmXIyuJE68orbdvIz5dBJuPOiU6nwKOP+mLtWpulZTJR8Pf3EeXaeAKGAT75RIGUFG+sW8d14rz0Uq5GW1AQQXS0j6jLZn9j7145li3TICGBxalTbR2+NiOj/Vk7RXGh6HzF7KoqGjRNcPo0t5g/eTIjrJ8CXOXj226zLZ58/rnrUO716xWwWLj3jx/v/uyAX+ftSigyX5MuNjZWCNJITExERUUF1qxZg7KyMtxzzz149tlnsWfPHpdt4d1l8ODBePnll3HkyBEcOXIEs2fPxlVXXSUIyCuvvIK1a9fi3XffxeHDhxEeHo558+ahtbXzFtDtQvoQhmGI0Wjs8U9TUxPZvXs32bVrF/n999/J6dOn3Xrf669bCBdITMgdd1iFv/mf4GBW+JuiWHLypO29H3xgFr02IYEhS5dy27j0UisJCODe+8gjJ0hlZSU5edIoev348UayZEmx02dKP+3/LFuW6/Lx/PxW0tLSQioqWsiCBbbzcumlFhIRwRCAkLAwhtxxh4nI5azT+594wkiam1tIS4vt59SpVjJqlPiaCAxkyE03mUSPabUsiY1tEv5/5BEjGTNG/L4DB9pE2+7uz9atOtG2hw61ku++05Fvv9X1+bmx/4mNZcjNN5vIiy8ayNdf60hWVit5+mmj0+vGjbOSysqWbn1GenobWbPGIHpszhwLSUjgzve77xpIYqLtWP35Z5vonLk6vrm5rUSj4a6Pzz/Xd+ncVFVVkR9++MEj57mlpYU0NTURuVxOXn75ZbJ06VISGhpKHnnkEY+OvwEBAeSjjz4iLMuS8PBw8vLLLwvPGY1G4ufnRz744INubx+e2Mnu4glxKS8vJ7/++is5dOgQaWtrI3v37iUFBQVuvVehsA00Q4Y4Dzr8hQoQMn58JdHr9cJ758xhRK/9xz+swvZmzTKfu8naSENDMzEanW+sV15pcPtGksmc9+3v+vPQQ6UkKMjg9PjWrW3nbsoWsmKF7XjPmmUhw4dzg4y3N0uWLTMRb2/n43nrrSbS0CC+wc+caSFTplhEr/P2Zsndd5uc3j9pku2xa64xk3vvFb/mv//t2mBl/5Od3UoWLbKJpp8fS15+2UAOHmzr8Fj1l5+ICIa8/baB1Ne3kOLiVtFz27fryOOPO98fnf00N7eQGTPE5+Yf/zAJ5+izz/TC48HBjOgzjh5tdXmc+WM8darFabLR2U9FRQX5+eefPSYulZWVBACpqqoSxsq2tjaPjLtWq5V89dVXRKlUkpycHFJUVEQAkGPHjoled+WVV5Kbb765258zYN1ihBAUFRXh2LFjSExMxOjRoyGXy90uAUMIhNIuCgXBmTPifVEoiKgXy6WXlgh+1ZYWruGVPc3N3PZiYizYv5977qWX5PDyUuGLL8SH+aabGKxY4aILlQuCg4kQwSYBvPlmFKZPl2HaNLE//LLLvPHssw2oq6vB44/rsW6dATIZwR9/yBEYSDB5MgOdjsL69QrccINF1O8FAD75RImbb1aLXKUBAcCWLQZccom4dP9//6vAgw+aQVFEePzQISVmzeIKan73nQJHj9JYt87mern9dg0efdS5dlxH6PXAiy8qMWGCN77/XgGaJrjjDjN279bh9deVmDx5YISpVlTQeOABNebP10CrJWhutrlaLrnEC9de6354LgBcd50FRUUUdu+2uaW1WoKGBu4+WbjQijfesEV4PvywGS+/bDv2iYm288azb59MOMZr1phcVr/uCE9n5/MtAfhQZJqmexyWnJWVBa1WC5VKhbvvvhubN2/GyJEjUVVVBQAICwsTvT4sLEx4rjv0vxU/NzCbzTh69CjKy8sxefJkREVFCULlrrgcO2a7epKTnS+2GTOIsPjn60uQklItbHfXLlpUcywpiRWCAXQ6C0wmOSZNYnHVVdzzd9wh9oHzPVs6IziYoK5OEhZHNm9WIDtbIUpmBIA33xyCG27wxZ49ezBy5EG8+eYZqNUs9u/nFuUvvdQKhqHw4YdKLF5sxeDBYoH5+WcFrr9eA7tWH/Dy4sq6L1li83ebzRTeeUeBBx6wYNAg2zb++EOOOXMY+PkRpKfLsXatCt99Z9vY+vVKjBvnDdLJ6SeEK9kyfrw31qxRwWikMG2aFbt361FZSSE5WYva2oF366any/H00ypQFHDXXbZz55iT1BmzZ1uxcaPS6bHt2zmxiY1lhaZgFEWE0jAA8PXX4rU7gFvHWrGCE5/bbrNgzJiuR2J4uq5YW1sbaJp2mZfXXYYNG4aMjAykp6fjnnvuwS233ILc3FzhecfJPiEdN5frjAF3hTY2NmL//v2QyWRITU2Fr6+v6HmZTOZWotKOHbav3tLi/Lx9xNCUKSxkMtuiHZ8UycMwXEHL0FADGIYLQ33iCa7acVGReLsrV1qxYkXnYcd+fpKwdERTE4X//EeJV14RhysfPBiC2267AuHh4Rg3rhz//vd+aLVmZGTIkJ/PYsECblBbv57rPDlsmHgi8vvvclx9tUZUWl+hAN5/34j77rMNiCxL4a23lLj6aivi4pqEx7dvl2PSJAaDB7MoKqJx111q/PijbUArKuJK97dXGuz4cRqXXMKVbCkvpxEdzeLTTw2YPZvBRRd5C+16Byrr1ytx4gQtCgN2DKTpjKlTGXz+ufgeamujoNNRSEhgsXWr7bm1a0246y7bAH3ZZc4Tz08+USArSwZ/f4Knn+5eJWpPV0TmS794MuhJqVQiISEBEyZMwEsvvYSxY8firbfeElI1HK2UmpoaJ2umKwwYtxghBMXFxThy5AhiYmKQnJzssrmPu5YLX/YeAE6dct6PkhLbY+PHE8hkMrAsC4YBtm+3vVcmIygv5z4vNVWBhgYafn5czxYAGDXKZo4rlcSpwKIrIiNJp61XJThWrFDjvffEI3VDA40RI4Zj9OgxuPPO0diypQ7h4WYUFytx6JAFF19cCYDLtJ8yhUFKivh6OXBAjiuv9EJ9ve0xmgZefNGElSvFiXfvvadEYmIj5syxPb5zJ9fRcuRIroXz9ddr8OWXBlHp/rAwH5SW2s5xTQ2F++5TYeZML6Sny+HlRfD00yasWmXCzTdr8MILXXOp9RWvvGLE9u3O1oE9f/whtiaKi90fhpKTGRw5IkN9ve09/v4Ehw9zA/u0aVYcPcr9rVJxDc94XFktDQ0Qju1TT5lE+9UVeqtoZW8kmvMQQmAymRAbG4vw8HDs3LlTeM5sNmP37t1IS0vrYAsdMyAsF4vFguPHj+PMmTOYOHEiYmJi2j3ovAh0Bp/FCwCEUIiOtl1UISEER4/anp84kQhlZQ4epEQWRUREG1palJDJCAIDuccvu4yFUgk4VuZevZrBv/7V+czTvmy/ROcsW6bBu+86J1z6+fmAomhMmuSDXbvMiIlhUV3tjezsYFx9NTdL27hRifDwBowbJxao48dlmD/fS3SuKYrz37/zjhE0bbtetm+Phb8/EdWg2r1bDq0WSE21wmCgcMMNajz+uFnkXktK0mL7dhneeYcLLeZLtlx3nQVffWXAqlUq3HyzZ1sL9zYrVqhxySVeqKlpFcrgO7J9ezMOHDgi/L95s/sz/uXLzfj4Y/E9pNEQtLZSGDWKERIoAWDNGhM++8zmPnNltaxerUJjI4WRIxnccUf3Q317o8VxZzl6XeHJJ5/Enj17UFJSgqysLDz11FP4888/ccMNN4CiKDz00ENYvXo1Nm/ejOzsbNx6663w8vLC0qVLu/2ZfS4unSlzc3Mz9u/fD0II0tLS4O/v3+Hr3XWLOVJta7MNx1pz48ezgmj9+qv4kMXFcRfvuHFESMi88kruprr4YvFN4M7aWHJyL2beXcDcd58a69cboNWKZ55+fj5gWa71wLZteiQksKioUODgwVDcdx93on/9NQRhYY0YNapO9N7cXBkWLNCISoYAwC23WPDpp0YolbbP+u47NVpbKdx9t21GcegQV1zz8sstIITCo4+qERJC8PbbNiFcvNgLTz2lRksLhXHjGGzapMeOHXJcddXAKdfiikmTvHH8uM7lcypVCI4dSxL+37zZ/UKtGg3B3r02t5e9+/jSS604fpwb4H19CZ580mbt5ec759Tk5ND46CPuHl2zxgR5DwpE93e3WHV1NW666SYMGzYMc+bMwcGDB7Ft2zbMmzcPALBixQo89NBDWLZsGSZMmIDy8nLs2LGjR0mcfS4u7UEIQWlpKQ4dOoTBgwcjJSUFSmXnF6E7bjH7p8PDuQHCvnWxvQ84KoogLAyC5fLTT7b3ajQEoaHcFRkQwJX5VqkILr6YE4j0dHEDstde6/zqzcjot6ek33PXXZwFw/f44PH35wQmIoJg61Y9hg9nUFFBY9MmLuoLALZti8D48d6YOlU8IObkyHD55XJUVYnN0CuvtGLTJoOo9cDWrVyfGvsWAjk5MmRlyXDTTdz7335biQ8/VMDb29n9EhhIsHixl8vWvwONkhIaZWWuv0dEBIUNG7peQPPll41YuVLsHqRpCEmPH31kGx/uvtsstNG4+GLnMi6EAI89pgLLUrjqKgtmzHC/PborPO0W83QXyo8//hglJSUwmUyoqanBrl27BGEBuEn+ypUrUVlZCaPRiN27dyMpKamDLXZOvxzJrFYrMjMzUVRUhPHjxyM+Pt5tBXdHXPhQYQBISurYxzpxoq2sQ2ZmK/LzbQIxbhzBiRPcthoauMfmzuXK8dt/BgDMmiVZJOeDW2/V4MUXTU5FK/39fUAI15Hy118NSEpiUF1NY9MmudAE7NNPNRg+XIE5c8SWb16eGpdeKsNvvx0TdYWcNYvrO69W216/ezfXG37NGpt1UlZG4/vvFbjxRs7tkp0tg07nfD3/9tvA663SER9+6HoyOGgQizNnuj70mM0GZGfbrANvbyJUQAgJYYV1ypEjGbzyik2EvvnGOXrihx/k+OsvOdRqglWrul8Wn6c33GIDuSIy0A/ExVE0WltbceDAAZhMJqSlpSEwMLBL23NHXL75xnYRuIoUs2f8eAJCCMxmM37+WTx7DQ4mOHWKBkUR1NZy32PBAm5Qu/de8UCxd+/An40OFP7xDw2ef96EqCixwPj5cQITHEzw448GwYL59lsFHnuMG2A+/liJYcNYp3pkp0/745lnJqO21oKsrCzs3bsXWVlZiIsrw3PPHYBWa/usw4dl+OwzhSjQQKej+m0PFXeRybjCoOvXG9DQ0IqPP+64G+Yff7gebLvjfvq//6vEW2+J159YllsvTU5m8PPPtmMbFWWbML7/vgGOBkV9PWe1AMCDD5oxZEj3FvHF+9I7brGBTJ+Liz3l5eVIT09HeHg4Jk6cCJWq6xEy7oiLfQKkffl1VyQnm3HkyBFYLBYYDBGi5/ikLR8frgMeTRPMn88NMvYBA4sXM05FEh3pbpSKhGvuvFOD114zOuWyOApMfDw3i/72WwUef5wTmPfeU2L6dEbU9hgAsrPVeOKJFIwePQ3JycnQarWorKzEiBENWL36MHx8rHavlWHtWpVTLs5AhmEoHDggx113aXDbbWpceSVX06w9XARzQqsleOmlrt/XYWFBqK8XV5s2GCjQNIvTp233zp13moV8FwC44QbxJIEQ4MEH1aispJGYyLRbGbmrSC2OnekX4sK3ID558iSSk5ORmJjY7YUsd8QlP9/2tSsrxc/Z+9ApisBk2g+5XI6AgABUV4tvCt4Vxs/EJk0icGhyCQC46qrOXWKOi8Z9waBBBEOHsk7tgvsb7ibdXX+9Fz74wIjgYGeBAbj1tp9+4opUFhXR+OknOR5+mBOY1atVuOYaC8aOFV9LR4/KcM013gB8hYKDADB3ri/eeScPPj62waqwkMZ//tP9dtX9mR9+UGDdOiVGjGj/WikpcR5eHDuFusOqVUZh4d2RyEgGLS3cDUjTRHS8jx1zXsT//HM5fvxRAYWC4OOPjfBUQFZvuMUkcekher0e6enpaGtrc9mCuKu4m+fCw1dV5fHzs/09eHAbRowYjOTkZMjlclRUiC8evrUt38ebb43smDdz8GDHwuFOa9feYu5cFrfeyiAykqCyksKpU7RQxtzf34rLL2dwzz0MbrnFiOjojqvYni8sFsrlgrgrrrjCCxs3GuHlJX79RRdxo8rgwZzAhIezyMmR4cgRmZA9/tRTKvzzn2annjCHD8tw7bUaUVfLkJAQLFoUgy1buh/OOtD44IOO3XyuAhO6mgSq1RL89Zfc5RpVZCSLsjLb9q64wrZ2kpJSg6qqPcjNzUVVVRXMZjNOn6awYgVn/Tz9tNmjkZmSW8yZPheXwsJCBAUFYdKkSR4pddBVcXHEx8c2CI0YoUBsbCwoioJMJkNFhe1CViqJEFo8aBD3Oy6Oe+8//2kzyyMjCd55p2Mnc1czlHvCwoXiY7NrF41PPpG5zK1papLj119leP99GTZuVKO0VIukJE6M7P3afYFOR7ltwcyf74UtW8TrAydOyHDvvZwlGhND8O23Bvj4cANZXR2FpUstYBgKDz+sxooVZsTHiwei9HQ5brpJI+QyMQyFL76QD7i8lJ5QVUWLSuV0hqMF6Q433WTBjh3O949cTkQThiuusODHH21us99+U2HUqFFQqVQoLS3F7t37sGQJV19uyhQj7rvPOS+qJ/RGbTHJcukhY8aMwfDhwz12YnhxIZ0VcGoHmrbNzv38bGLCsnLU1toucn9/zuoJCCBoO/eW2FjuM+1DkFNS+oeL6dVXrXj+eSu2bOnZ7Co7mxOjsjIKl13GCGHXfYHFQolyTTri4ou98Ouv4pHws8+UQkLemDEsPvvMIBSeDAggmD/fApOJwgMPqPHii0ZER4u/665dctx9twa7dw/G1Kn+uOcermRLeHj/OOfnA/tmeZ1RV9e1e3zmTAs++8y1pTNqFNccjsd+QT8rqw0yGY2AgADEx8dj0qRJSE+fi7w8P2i1Vtx1137s378HmZmZOHv2rKgDZHfxtOXS1tYmWS49xdPlDfgT3F6Wvr1RY7++wuPjY9sftd36YW2tSuRC4/NjAgOJUCqGt1zsGT6848Gvq0X7usOWLRasWCHDc895NtR161YZduygMX06i9TUvhlQzWb3r5/FizXYsEE8kPzrX2qhRMjs2QzWreNmtOvWcaVhLrrIitZWCvfdp8Ybbzjn0Hz/vRJvvDEeRUUyweqtqurz2+q8EBnJ4vLLey/Zs6GBEorH2hMQQESZ+CEhtnPyzDMmp+ivgwdpvP46Z1G+/bYFixZNQEpKCnx9fVFTUyN0gMzPz0dtbW23krA9veai1+slcekpvSUu7bnG7M14/qPtS6ebzbYTau+lq6kRR6qcq/UGtRqorGxfXDq7TnvgwesUmib43/8sWLhQ4bS25En++ovGgQM0lizpxS/jAXQ6Ct9/L3eqDzZzpreQ5b1kiRXPPss9/+yzKixdakFyMlcjbPlyNdavb9+d0tra90EZnmTMmI7P58SJjMvB3xNMmVKBzEzXkyF+rRPgclrsK0Q/+qg4+qu1lYscZFkK119vwbXXWkFRFHx8fBATEyPqAElRFAoLC7Fnzx4cO3YMJSUlaG1tdcsLIkWLOdPn4uJpOhMX++gQPoNXpbK91r6YIN+XGwCqqsRRP7y/l1+09PcnCAwEjA5jT0VFxzcfy/begPTZZ1b83/+dv9yKr77ijv31159/kXHsz9IeP/2kQGgoi1tvFQ9CcXFaQeiXLzfjjjvMIITCQw+p8eijXF2ykhIaCxcO7LIsXSEzs+OZ+JYtvXNtzZ5twrFjnVfjlcsJcnNt+1hV5dySd8UKNUpKuOrSr73memIgl8sRHByMoUOHIjU1FVOmTEFYWBhaWlpw7Ngx7N27Fzk5OaisrITJsTbUOXpjQX+gi8uFlRIMCIvv7YmLq/NvNNoOg32Ei32aTVWVOAyZnz3xGcK81eKYN2NfXfl88u23Flx7bd8k7X39tQx33MHg4489d7N1RkMDjYkTGaE6bkcsW6bB/v06nDxJIz3ddu4DAnzQ0tIKigJee82EykoKv/6qwA03/H0W6d3F25u4jODyBGfOyGA2d34erVbb53/3nd4prHjLFjm++EJxLkTZKIoE7QiNRoPIyEhERkaCZVm0tLSgvr4eZ8+eRV5eHrRaLQIDAxEYGAh/f3+hNJSnLBdCCHQ6XY/qevUH+txy6Y2S0vzJ7in2brH6evFA3djI/eZvMH4xv6REvI2DB8//IV650tpnwsLz8cey877Yf/iwDDNnuucvT0vzxn/+Y0RoqHgf//UvbhIhkwEPPvj3CSvuKr0lLGPHMigq6nzOO26c7f5OTbVi3jzx/V5czAViAFwl69TU7o0HNE3D398f8fHxmDhxIqZNm4bo6GiYzWbk5uZiz549OHHiBCwWC8xmc7cDiRy5ENZcLjjLBWg/HJlhmHOd1yYA4Mxq+9mPI/YL+mrxkouQnc/P4Phs5Kwsm5hERpI+KZ/fiy0gusSOHTRiYggoqhXFxb6dv8ED/PmnHFOnWrFvX+eX9ujRWuzYocfFF9umvB9/rMSoUSz+/FOGH38c2OVaBhojRohL5vPQNBG5j5OSGKH6MQBs2yYO0mhtBf7v/zRoaqIwYQKDJ57wXJUEpVKJ8PBwhIeHCxZGQ0MD6uvrkZ2dDZVKhcDAQAQFBSEgIADybpZavhDcYn1uufQGcrncSVz0ej0OHjyItjZbqLFvJ+OdfTSZ43nmLRe+URuf73DggO0msM+ZOV889litx6PCekJJCYWmJhVSUs5fGZTMTJnbSZZ//SVz6mb58MNqSVjOM0FBLE6edD0c2U+WaJqIilcWFraJnmdZ4J//VCMvT4bwcBZffGFwWYbGE1AUBa1Wi8GDBwMAJk+ejGHDhoGmaRQVFWHPnj04evQoiouL0dLS4rZVw4vWQBeXPh+FesMt5mi51NbWIjMzE4MGDcLw4cOFx7VaWwkXV9ivuTgOVrxbICyM4PRpShCXwkLb9+lJf4ju0o0oyl6nsVEFlYpBWhqL/ft7fz7T2kph9mwrfv+98xOwapUK999/4dT/GqiYzVS7EY0MY3vc3oL59Vc9QkPF9+Xq1Ur88osCKhXBl18anErt9wZ82oNSqYSXlxeCgrh2AkajEfX19WhoaEBZWRkoikJAQIBg2bRXO1Gv14MQMuDXXPpcXHoDfs2FEIKioiIUFxdj1KhRiIgQF550Ffhhb4Lbu8Ls818ArkIsw1Dg02n4fjD2AQEeDB5xi7g4PV5/vWflc3qLqioZEhNZhIWxqK7ufYH5/Xc5brzR4lYl4nfeuTDrfw0UIiNZlJd37Zp49lkTpk0Teyc2b5YLpfbfftuICRPOz5ofP5F1XNBXq9WiwIDW1lbU19ejoqIC+fn58PLyEoTGz89PiDbTnasrNNDXXC5Yt5jZbMaxY8dQUVGBKVOmOAkLAFRXO8+U7CcLrXaRjY4WKu8O491jvFAFBNhmSh4Me3eL2bObzu8HdpE9e2ikpZWct8/7/HMFLrusH5pyEgJDhnRdWFJSGDzyiNjazMykcc893Gzw/vvNWLLk/J13hmFAUVSH0WI0TcPPzw9xcXGYMGECpk2bhtjYWFitVuTl5WHPnj3IyMjAxo0bcfToUchksm5VhXfkpZdewsSJE+Hj44PQ0FAsXLgQ+fn5otcQQrBy5UpERERAo9Fg5syZyMnJ6fFn97m49IZbjGVZnD59GhRFITU1tUvmpb2IFBfbr5+IXxcWxokI36CId4tNmWITFw9Ulbjg2Lw5Du+8c/6isOwTZCX6F6Gh7jUNczyHf/whLuPD1YLTQK/n3KHPP9/z5l9doTs5LgqFAqGhoRgxYgTS0tIwceJEBAYGYvPmzbj55puhUCjwz3/+E5s2bUIjP4PtBrt378a9996L9PR07Ny5E1arFRdffLFgHQHAK6+8grVr1+Ldd9/F4cOHER4ejnnz5qG11TlvqCv0ubh4mrNnz6KhoQE+Pj4YN24cFF1czbNfhLcXF19f8aHigwH4PBfecuE7VwK2iLLzhU43MLyc99+vwNq1ni0c2B5drcIrcX5QKAhqajoffry9iWgtpqamVbSAbzYDN92kRmkpjfh4Fhs2GM77WmdPc1woioK3tzeio6OxZcsWfPvtt/Dz84O/vz9eeOEFhISE4LfffuvWtrdt24Zbb70Vo0aNwtixY7FhwwaUlpbi6NGjADir5c0338RTTz2FRYsWISkpCRs3boRer8eXX37Z7e8E9BNx8YT1wveEyc/PR0hICPz8/NrdrkrV/mzWPqDDXlwc3WJ8B0t+rYUXl+Rk2wZqas6vuNTWDpy1gz175Bg9+u9T4FHCBk0TWCzu3Rv2+TTHj7c5pQQ89pgK+/bJ4eND8L//GRAQ4Mk9dQ9P1xWzWq3w9fXFa6+9hqysLJw5cwapqake2XZzczMACB1+i4uLUVVVhYsvvlh4jUqlwowZM7B///4efVa/EJeeYjAYcPDgQbS2tiItLQ3e3t4dJlGOHt2+uBQU2C7m4mJKEBtHy8W+vhHA1RcjBBg6tO/cMOXlA0dcNm+WY+VKKUrr70h3Sh599pkB8fHie+ujjxT4+GMlKIrg448NGDasbyYrvdXLhZ8cR0ZGwssDXc0IIXj44Ycxbdo0JCUlAQCqzvUNCQsTl9sJCwsTnusuA15c6urqsH//fvj5+WHy5MnQaDSd9nSZPr39i9D+wm9tpVBfz/0dHi6+IXg3qFxOIJcTNDZSKCsjqKkp6fZ36Sl9EfrcEx54QIlnn5UE5u+EXN71yddzz5lw1VXiBfqtW2V49FHVuefNuPTSviuaOlCKVt53333IzMzEV1995fSco5eHENJjj1K/EJfufAk+zPj48eMYPnw4Ro0aJZzgzsTl6qvdn+HwrrGwMBohIbaFRH4h32qlcC6HCj/9VIri4mLR+8eOPX+zqd5KFustysvp8xYuKtH3dFYRwxV33GHG8uXiCcj+/TLccosGDENhyRIL/vWvvp2g9EaLY09YKvbcf//9+PHHH/HHH38ISZ8AEH6uvLujlVJTU+NkzXSVfiEuXcViseDYsWM4e/YsJk+ejMjISNHznYmL/bpIZ/DiQtM0EhKaXL5Gq+U+Ky9PgbS0NNFzY8eePzeZl9fAswKWLzdj+fLyvt4NifNAV4Vl3jwr3nhDHPmVlUXjuus0MBopXHqpFe++a+zzcke90SjMU5YLIQT33Xcfvv/+e/z++++IjY0VPR8bG4vw8HDs3LlTeMxsNmP37t1OY1lXGXDi0tLSggMHDgAA0tLS4Ouihktn4tKVGb79ov7Qoc0uX1Nbyw3qjY1RTrHp7fQs6xXa2gZeocWCAl8kJfXMtytx4REdbcR334lj+U+fpnD11Rq0tFBITbVi48beK+3SFfqzW+zee+/F559/ji+//BI+Pj6oqqpCVVWV0H2Toig89NBDWL16NTZv3ozs7Gzceuut8PLywtKlS3v02f3CS++uW6y8vBy5ubmIi4tDXFxcu+/rTFy6gr24DBvWInrO39+KpiY59HpOULiilQyWL7fi9de5Q7tz5/nT76KiwPP2WZ7kttvG9/UuSPQzvvsuG8Aw4f+qKgoLF3qhpoZGUhKDr782iKqW9yX9uQvl+++/DwCYOXOm6PENGzbg1ltvBQCsWLECBoMBy5YtQ2NjIyZPnowdO3b0uPxMvxCXzmBZFnl5eaiqqkJycjJCQjouceKOuIwbx+L4cW7g78gXnJ1tLy5toud8fQ1oavJBayt3YRUWUtDrgeXLGUFcXFUB6C34/ZCQ6A84VjN2lx9//Bnl5QwMBgOCgoIgkwXh2muDUVJCIyaGxfffG+Dv7/n97S694RYLDg72yLbcKZZJURRWrlyJlStXeuQzefq9W4wPM25ubkZaWlqnwgJw4tJZH+wlS2z+qhEj2j8BR47QqK7m/vb1JYiLs61rqFReom6VLEshO5tCoIMBYV9dubeJidF1/iIJiV6GoronLA0NrQgJCUZkZCSCgoJQUdGIRYvkyM6WITDQgv/+9yyCg/uX+7c33GIDvWgl0E/EpT33Vn19Pfbv3w8fHx8hzNgd3LFcbrrJ9nxVlfPn+/raBGH7du4wEUIQHV0jPF5QIENoqPh9/GvtmTr1/IlLScnALnY30HnjjSK3Xnfo0IU9CWivwnFHVFe3CuH0arUa4eFRWLt2MnJzg+Djw+DddwtgsZzEnj17cPz4cZSWlqKtrc1jDbq6S392i/Ul/UJcHCGE4PTp0zh27BiGDRuGpKSkLp08mUwmlMFuD/tM3tpa5xvBfj3t119pFBcXQ6/XO4XOOpb9+fZbGoQA111nE69du/rlYZbwMD/8cBYff+xe+Oa//qUCTUt1z3iqq1uFNRTu3qVx331qbN0qh1pNsGmTCVdcEYXU1FRMnjwZISEhaGxsxJEjR7B//36cPHkSNTU1nXoseoPeSqIc6PS7Uc9iseD48eMoKyvDpEmTRDHZ7sJbLp3NaIKD23+ed4UBwI4dQGFhKfz8/DBtmliIWlu5/728CJRKgvx8GtnZFF59VXyRBwZKA8mFzLPP6tDUFIDsbPeifPbtk3fLbXQhUlvbKlqct1pZPP/8IHz1lQIyGcHGjQakpdkma15eXhg8eDDGjh2Liy66CMOHD4dMJsPp06exZ88eHDt2DCUlJWhtbT0vVk1/jhbrS/qFuPBusdbWVhw4cAAsyyI1NRV+fn7d2h4/i+jMNfbcczYBsHeDce+13fh6vQwMMxVKpRLDhxuQkOBsFen1FAYN4v7etImGY/7RvHlSsuCFzAsveOPdd8Xld2bPdr02MGpUPcaMaXH53EBEqez+AF5f3ypqyscwwEsvJeDbbwNA0wQffGDEZZe1fx/LZDIEBQUhMTERU6ZMwZQpUxAWFoaWlhYcO3YM+/btQ15eHqqrq2Gx9M5aTW9YLpK4eJCKigqkp6cjIiIC48ePh1LZ/TpZ7orLtdfaBvyWlo5nkbt2qSCTyUAIixtvdC0UfDHL777jXGN33WX7/K+//ntFcmm1A8NSe+aZCo9t6/BhcdLFlCmuB7OcnCB88kkxHn8812Of3VfIZARmc/cssIaGVlGeCsMAd9+txrZt4ZDJCP7zHyOuv75rbi6NRoPIyEiMGTMGF110EUaOHAmFQoGSkhLs3bu3W22HO8OTay6EEOj1emlB31NUV1cjLy8PycnJSEhI6HlNm3Mmamfi0pUKqr/8IgNFcR0uly5lRD0m+L/58vtFRTQyMiisXfv3bVTV1tb1c/jqq+e/wsCGDb1XRrejKMQpU8Zg8eJoVFXVY/78gWvF2Fv4XaGxsVVUC89qBe68U42vv1aAplm88UY1Fi/u2f1D0zQCAwORkJCAyZMnIzU1FYMGDUJbWxuOHz+OvXv3Ijc3F1VVVTCbu3/t9YZbTFpz8RChoaGYOnWqW2HG7kBRlNuJlLfe6l6yZXExhbIyLzAMg+hoYMYMe3Hh1m/sI2S+/ZZ2anMcHy+5xtrjttusWLbs/Ivx2bM9y8Tz8mpfQMaObf/2MpspjB+vxTXX+GLOHAWOHNHh5Zf/Ht3lmppaRfeGxQLccYca336rgFxO8Mwz2bjiCs8fC7VajYiICIwePRoXXXQRkpKSoFKpUFpair179+LIkSM4ffo0mpubu2TVSG4x1/SLJEqapqF2bNTQQ9wVl5dftuKTT9y7MPbsCUB8PBeKfMMNDP78kxs8WJaCnx+LujqbuHz+uQxPPcXgwAEzUlM5F19RUb/Q8n7JkCEsvvxy4LkOd+wwYs4ctdDXx56oqM4HqH37FNi3z+YbGjWKQVgYC7UaaGoiOHmSRkNDv7hNe4xaTVBd3ebU7Ou229T46ScFFAqCTz81IiioGhTlXNbJk9A0jYCAAAQEBCA+Ph4mkwkNDQ2or6/H2bNnQVEUAgMDhR73HbnpPekWY1kWer3+ghCXC3a0c1dcupLp+913QTCbuW1efTULb2/b4FFbS0Ems/1fXU3hP/+RYdw48QAjVQF2zerVCtx5Z897hjvyyivO7o4RIzxzDpYsMWHcOIK33nLtUnn+eQXefLNr7pacHBl+/12BX39VYP9+Zb8SFvsurV0lLc2KmhqxsJhMwM03c8KiVBJ88YUB8+dbwbKsR91M7qBSqTBo0CAkJSVh2rRpGDNmDDQaDc6ePYu9e/fi8OHDOH36NJqampzSHDzpFuPbD0vi0o9xR1z4sv3XXlsoPBYZ2f4NdPasCrt2cRFsWi2wcKE4IMDR//z66zLodMALL9jcPUeOXJiHvKe96ru7KNwZK1Y4zzg9Vezwq69USE9PR1raKcTHO7v03nxTgWPHaAwePPAnFDRNhLD7rnLXXWZs2yZ2cxmNwI03avDrrwqoVARffWUQerL0hbjYQ9M0/Pz8EBcXh4kTJ2LatGmIioqCwWBAVlYW9u7di+zsbFRUVMBkMnnULcaLi7Tm4iE80ebYkc7ExWq1IiMjA2VlZXj9dVvIc3m5877YD5wbNw4SulPeeKPr7ctkBD4+BDU1FD78UIYVK8SvGz584A82jnQnI7uvyMz03GV/9uww6HQ6PPPMbpfPf/qpHGfP9ovbrNt0t5QLALzxhhGvvioum9/cDFxzjQbbt3MJkl9/bcC8ebZ7hBDSp+LiiFKpRHh4OEaNGoVp06YhOTkZ3t7eqKiowL59+0AIQWlpKRobGztN3u4MnU4HpVLpVF19INJ/zqCH6UhcdDod0tPTYbFYkJaWhrAwsX9XpRLPwu0HzlOnvLFrF/f/jBkE48c7X0wMQ4FPFF67lrNetmyxhaWePHnBHva/HbfcEono6DG45prJuPjiC2tB3t+fuw+6O3HYvFmPO+4Qh2NXVlK47DIv7Nkjh1ZLsGmTAbNni+9TlmV7ZcLpCSiKgq+vL2JjYzFhwgSht73FYkF2djb27NmDrKwslJeXw2g0dnn7ji2OBzL9ZpTz9MFsT1xqa2tx4MABBAcHY8KECcJC3a5dNt+4q8VZe157jfOD0zSwapXrCCeDgTr3eRQ++ECGSy+98KwVVyQk9L+aWTNmuN9+YcmSrkesRUZ6wWSi8fLLzhOTgYqvL0FTU/fvyUOHdJgzR3zcCwoozJvnhexsGUJDWWzdqnd5bvraLdYV+P0cOXIkpk2bhpSUFKFvyoEDB3Dw4EEUFhaioaHBLaumra3N410o+4qBcQa7gaO48OsrGRkZGDlyJIYPHy66gKdNc39Q2L2bxqFD3I03axbBxReLLxrH9Yc33pChuRnIzRW7B4YMEf8/kNFqCWiaoLCw73zF8fEsoqOdb2B3Q5yfesqMRYtqOn+hC4KDvRATQ/D22wOvG6g9fn7ceewsqbgjTp9uc3L9HjpEY948L5SW0oiPZ7Fzp95lC3BCSL9zi3UEwzCgKAo0TYOiKPj4+CAmJgbjx4/HtGnTEBsbC4vFgtzcXOzZsweZmZk4e/as0KzLET4MWbJc+jFyuVwQF359hW+LHBER4fI97VkhrnjtNdsC3qpVVpGg+PoCCoXt/7o6CitWyBEbKxadM2cGvl+Vp62N6vNaWZ98YhYsRp4hQ1iEh7s3cdBq66BSHcPw4e4LRHi4bYAMDPTCjBks1q0zQS4feBaMr68Jzc09O4+Nja1ONfu2bpVhwQIvNDTQSElhsHOn3ule4OFn9wNFXDpazFcoFAgNDcWIESMwdepUjB8/Hn5+fqipqUF6ejrS09NRUFCA+vp6YazyZALlX3/9hQULFiAiIgIURWHLli2i5wkhWLlyJSIiIqDRaDBz5kzk5OR45LOBfiQunlZqmuay6XU6HQ4cOACr1YrU1FSXbZF5HnrIfffJjz/KcPIkt89jxhBRf5jmZkqUfQwAGzfK8M47Jfjpp12ix+3DlyV6RmQk61ThWqkEwsLcO8a//cZiwoTxuOsu9z+zqooWudKGD9egqIjGb7+ZMHr0wHCFRkWx0GgIWlq6P9m59loLWlpanRKHP/tMjqVLNTAYKMybZ8XPP+s7LBjLJy8OFHFxNwyZoihotVoMGTIEKSkpuOiiixAfHw+GYXDy5En8/vvvuPzyy7Fz5063W4t0hk6nw9ixY/Huu++6fP6VV17B2rVr8e677+Lw4cMIDw/HvHnz0Nra6pHPHxhnsBvIZDK0tbXhwIEDCA0NdatemVzOJUe6y4sv2u6k556zigr4Oc6gAeDll+OQlDQZP/1kmxkzDAWVamAMQv0dxyZtACcuISHuiUtGRgR8fPzwf//XtXWX1lbgnXdsLs61axWYMUONhQut+PRTE2bMYHocqt1bREYyKCujXV6v7eH4XdavN+C//xUvXhMCvPKKEvfeqwHDUFi61IL//c+AztI3eMtloLiFuptAKZfLERISguHDhyMtLQ1jxozBlClTcPz4cRw4cAAJCQm4//778csvv3S74OZll12GVatWYdGiRU7PEULw5ptv4qmnnsKiRYuQlJSEjRs3Qq/X48svv+zW5znSfzK0PAghBM3NzWhsbMSYMWMwiC9X7Abvv2/FF1+4d7Fs2iTDkiUsLr+cxZAhwD33MHjrLedDSlFcaZiGBiUefVSGzz+3IiWFxbFjnLabTBesxp83wsII/vlP58mDWk3gblRnXR2No0dpTJzYNbH/+Wc51GqgsNCAhATbrPPf/7btz5VXWhEZSeDlBZw5Q6GqioJOB1gs1LnMdQplZefvOhg2jEVZGYXy8q4PjPbRY3/+WYtx41QAbI+ZzcDy5Sps3Mh9/+XLTXj2WTPc0YsLyS3mLhRFISwsDM8++yy0Wi0yMjJw++23Y9u2bXjssccwZ84cKDyVnHWO4uJiVFVV4eKLLxYeU6lUmDFjBvbv34+7umK+t0O/ERdPzVSsVisyMzPR2tqKgICALgkLwM10n3jCipdecu/Q3HuvHMePm+HvD6xYweCLL2SiMjAAHGqOyXDVVSz277dArb5w1lz6moULrVi/3vkG1GiA0lL3r62tW2WYOJGFVku6VHzz22/l+PZbOU6eNCAnh8I114jLGf34Y/+41UJDCbRaru9QT9mxYz9aWupx4IASQUFBCAoKAsME4tZbvbFvnxwURbBmjQl33+3+zJsPQx5Ilouni1b6+/tjwYIFWLBggce260hVVRUAIMyhN0hYWBjOnDnjkc8YGNMDN+HdYAzDIC4urtsn/dlnxa6xjlwalZUUnniCGziCgoCPPurcpfLgg3KUlABVVRdOtFhf40pYACA8nGDTJvdnllu3cq+94YbuFdEcPlyDG29U4a+/jDh9Wo+rruo/lbEnTWLQ2AicPt21+8KxY+asWRY0NjZjyhSuAOSwYcNAURS2b6/A1KkK7Nsnh1bL4PPPm7skLMDACkMGPN/iWKfTnddQZEcRJ4R4TNgHzlnsBD4CIzQ0FBMmTIBKpXKrtpgrKAp4+23bTdFZEtmGDTIhsXLWLAMWLz7rYpu2G7ShgcJVVynAsu73XJfoHoMHE3zzjftWQ2YmjfJyCjNmdH8dzGCgMH26GnFxXvjhBznmz7fipZfM2LTJhHfeMeGeeyy4/HIr4uJYqNW9vxYzfTqD8HAWhw7JYLF0feCwjx7bsKEVmza1gGGsMJvNIIQgICAAhYUj8Oijaaip8UJUlAnr1h2HVvuXEBHlbp7HQApDBgZuReTw8HAANguGp6amxsma6S79w1ZH991ifP5KcXExkpKSBDeYu4Ur2+POO1k88IDtf42GdLjouWyZAn/+WYdTp47h/vsDUFAQgYwM200ikwH27b3z82ksXqzA66+34b77KvHuu11z30m4R2srkJPTtcFq2zYZFi3ynMXxyy9y/PKLxzbnNuPGNaKlhcJff/l3+b1RUazTGlBxsR7BwRQIUYJl2XM/BGvXyvHiixoQQmH6dAs++cSE4OBhsFrj0djYiLq6OuTm5oJhGKHKcFBQkMsSJ/05O98VA7XFcWxsLMLDw7Fz506MGzcOAGA2m7F7926sWbPGI5/Rb8SlO1gsFmRlZaG1tRVTpkwRdW/rqbhQFHDkiBkTJnCLkp1F05SWUnjggTasWROFuLg4fP65FZMnK6DTce+zWp3fv28fjWefHYLVq4thNIbio48GXsn5viIoiKC+vvNBKC+v6zf+r7/KcMcdVixcaMWWLQPvFklLY+DtDfz2m3+nOStyOXG6NkNCiEhYpkxhsGuX6dyCPPe4TCaD0Qjce68CX3/NuSRvv92IF1/UQaHgFvVpmkZQUBBCQkJACEFbWxvq6+tRWVmJ/Px8eHt7C0Lj6+sLmqb/9m4xvV7vsTyXtrY2FBbaivIWFxcjIyMDgYGBiI6OxkMPPYTVq1cjMTERiYmJWL16Nby8vLB06VKPfP7Au3POwXeT02g0SE1NdQoz7qm4AEBSEsGUKSzS09272H/+ORYPPWRGfDxBQgLBW29Z8Y9/dBzlsWOHP0JDB+Gjj6w4fZrC778PnBurtxg6lMWpUx0fB3eEhaIIcnKsALp28+/aRaO6GrjrroElLmlpDCIiCH75RdbpZEilYmAyyUTC4u1NoNNRolyhjz4yYckS5/uoooLCkiVKHDkig0xG8PrrFtxxhxWEKMEwDAghgnUDcJ4JLy8veHt7IyYmBhaLBfX19aivr0dWVhYIIQgMDIRKpRpQloun3WJtbW0es1yOHDmCWbNmCf8//PDDAIBbbrkFn3zyCVasWAGDwYBly5ahsbERkydPxo4dOzzWYpkinmok3UNYlnU7nru6uhpZWVmIjo5GYmKiy4uxpaUFhw8fxpw5c3q0X1YroNW6H9Xl50dw+LAZ0dHc/7fdJsdXX3V+8a1ebcXDDzOYMEGB7Oy/r8BMmcIgPb3j46VUdr9vu7u88IIZDz9sxVVXqfDbb/3bopw5sw1xcSr88IO8U9GVybjQbL1e/Lro6BaUlooTjEtK9HDVHPb332ncdpsKdXUUAgMJPv/c5HKNimVZkdDwQw0fDUbTNGiaBiEELS0tqK+vR3V1NQwGA3x9fQWrxsfHp98KTn5+PmQyGRISEjyyvVmzZmH58uVYsmSJR7bXlwyoUYwQgoKCAmRmZiIpKQlDhw5t96LzhOUCcImVn33mfsRLczOFq69WoLmZ+/+dd6yYNKnzhcwnn5Tj6adlOHzYgpkz/55JlRRFOhWWiAjWSVg665fi59f1+dMHH8hhNgOvvdZ/a4VdfPEZ3HJLM7KyvPHf/yo6FZb/b++845uq9///yuje6aSLlu5BJ1ABQfaGFhFUlAsKXhURuV68/sB9FZQhqChDBES9AhdaKHu3BUT4QhcdFMroHkm6mzbrnPP7I/cck+60SZuW83w8fDwkTZOTNDmv8/m83+/Xy96eAkFwNISFdj5WF5Y5c4pw/PgJFBenoaioiPHBIkngq6/4mDNHJSxhYSRSUqTtNj9wuVwYGRnB2NiY+Y++yidJEkqlqimAIAhYWlrCy8sLPj4+sLS0hJubGyQSCdLT0/HHH38gNzcXQqGw2wOF+kIf3WIDIcsF6EfbYgqFAnfu3IFEImlVX2kLHo/HXC319Kpn/nwSGzeSyMrqmhbn5HCxcKERjh1TwNJSZbc/ZUrnK5LNm/moqODgxAkFvv2Whw8/7Dd/nh5hZ0ehpobTJWv3srLW72Fn38WICBIpKdqdAMrKuNi/n4+//12J3btleknJ7C4rV4pQUlKPpCQv1NR0/rpsbFSrFaFQ8/0dM4bA1auav5+a2oyAAHs0NT0FkUgEoVCI+/fvQ6GwwZYtkbh+XdUm+8orSmzaJEdXnUroOoq6uBAEwXxH6e0zhUIBHo8HZ2dnDBo0CCRJoq6uDlVVVXj8+DFycnJgY2PDrGr62p5el9tiFEUNmIhjwIDEpaMPSGNjI9LS0mBubo6RI0d2aVqV/oMTBAF+S6OvbnDjhgIWFl0/wVy6xMXKlXxs366EQACcPKnApElGePCgY4H57TcexGLgP/9RYvhwElOndmxZMxCoqen+yeG77+RYubL998jTk4S7e/d2fj/7jIspUyR48UVzFBRwsG5d3/0tZs5UYvp0Aikpjdi5UwC5vI39qhaYmFBwcaFQWKj5mfPxIfHwIVdDWEaNInD+PF2058DCwoKpj9y4QeHll01QXs6HiQmB5cuzsGCBFDU1DuBy2+766gx6SwwAIzAymQzl5eUwNTWF8n+tlXQqpJ2dHXx9fSGVSplazePHj2FkZAQHBwfY29vDzs5Op6uIrtBfu8V6A4MRl/aorKzEnTt3MHjw4HbrK22ha3HhcEgcO5aFuLihas9BtYo2VmffPh6GDKHw3nsEXFyA06cVmDDBGCUlHb+Gs2d5mD6dgyNHFCgokMHLy3CumvsKc3OqVZ3g2rVmxMaatvMbKv7+dyUOHOja33/wYBJFRaoVFI9HobaWj9dfl+ODD9Lw7LOOsLQcjDVr7Lv9GrTFx4fE228rYW5O4dAhHlasMAHQtc9CUBCJwkJOK2GZOJFoVUM6c0aKsWPbsr9XbQ+uWWMEhYIDX18Sv/0mg6enM8RiMYqLi5GTkwNra2s4ODjAwcEB1tbWWq8kuFwuE7bF5/MRHBwM4C/RoYWGw+HAyMgIgwYNgpubGwiCQG1tLaqqqpCfnw+pVAo7OztmVdMbw4j9dc6lNzCYgj5FUZDL5Rr/fvDgAQoKCjB06FBm6Ecbzp07hzFjxvT4QyaTyZCeng6SJHHwoCd+/NFHq9//9VcF5s9XfXnz8zmYONGo1RZFWwwaROGnnxQYN47SatU00LCyap3ffu1aM7780ginTrUvHFZWFG7dkiIwsGt7N5aWFEaPJnHuHA/e3iqhIQgO3nuvBs8//whisRj37plh9+5IZGfrpqOmJVFRBF5+mUBYGImLF3n47TeeVjHJ/v4k+HwgN1fzd2bNUuLkSc33aswYAqdPy9DWhXd1NfD228ZMt9zcuUps3y5HS1NxmUyGqqoqiMViVFVVgcvlMkJjb2/fpQs7uVyOtLQ0mJiYICwsTONk/dc8DanRFAD8tfqhVw5NTU3MqqampgampqaM0NjZ2emlxfn27dvw9PSEk5NTjx9LqVRCIBCgsLAQnnRHUD/GIFcu6vWVkSNHdlvJdVHUr6urQ3p6Ouzs7BAaGgojozScPeuBoqKub5EsWmQEc3MFZs4k4edH4eRJBaZNM0J1dccCU17OwaxZRli2rBpHj15EYeEIrFrV+XbIQMHEhIJMxmklLMnJUiQl8ToUFgB46y0l7tzp+gmlsZGDqCgS589z8fgxF88+q0RCAh+bNtnB1HQo/vUvBSIiGjFuXCESE4HEREekpvZsmtnNjcS8eQTGjiUQEEDh0iUeDh3i4d132/988fkUjIwAqfQv9wg/PxIODhT+/FPzKtrBgYK/P9lKWK5da0ZkZNvXlSkpXCxbZoyyMi74fArr1inw1lvKNo0nTUxM4OrqCldXV5AkidraWojFYjx8+BBZWVmwtbWFg4MDHB0dYW5u3mpVI5PJkJqaCktLS4SGhrYSgLa2z9SFRn1VY2JiAjc3N3h4eECpVKKmpgZVVVXIy8uDQqHQGOA0Ne14xdtVdLkt1tjYCADsykUfyGQyNDQ0ID09HRYWFggLC+uRG2hSUhIiIiJgZ2fXrd8vLy9HdnY2fHx84O3tDQ6Hg7S0NAgE9ggM9Nf68XbtUmDx4r9WMM8+y0d+ftc+mBERCvznPyScnZVwcBgY3SQdERZGtikMmZnNSEtTtcJ2hK0thZycZnz0kRH27u36Z+i555Sws6Owe7cRPD1JTJ5MYM8e1e/PmqXE5s0KeHiovjJyuRzZ2TU4e5bA7dtGKC62RmWlBaqqWguDpyeJwEAKvr4k/P0phIeTCA1VbV2dP8/DqVM8XL/O7bCpwc6OglIJNDf/NZTr40NiyBAKFy603pp59VVFq9c+b54S+/e37VAslwOff26ErVv5oCgO/PxI7Nsna1eEOqO5uRlisRgikQg1NTUwMTFhVjV2dnaQy+VITU2Fra0tQkJCtN5Oa6/VGdBc1VAUBYlEwqxq6urqYG5uzgiNjY1NtwXizz//RGBgYLfPMeqUlpYiKCgIMpms03iQ/oBBiUtRURHu3LkDLy8v+Pr69rgL5MqVKwgJCYG9vXb75HTLc1FREcLCwjSWvBkZGbC2toaLyxAIBNpvVX3+uRKrVxPgcICaGmD+fOData49jqUlhU8/lWPZMiUOHuTjjTcG5lbZ4MFkq1oBABQWNuHPP3n429+MO51z+eYbORYvVmLIEDOtGgaMjSncuCHFc8+Z4NEjLkaOJDBzJoFPPjECQXBgZkbhb39TYtEiJSIiKOYkTZIkY3UiEokglcogEAjg6Ki6ajc1NQVBAPfvc3DzJhd//MHD1avcLtnse3mpLkjKyzmQyVRPGBhIIiCAxJkzvFbvxeuvK/Dbb3zGHYImL6+ZEcaW5Odz8MorxkhPV4nUkiVKbNwo77QTr6sQBIHq6mqIxWKIxWJmC9za2hqhoaE9DsiixUW9A42GjiCmZ2sUCgWqq6sZsaEHOGmx0ebEfu3aNYSFhXUYQthV7t+/j6effhoSiaRfuRS0h8GIi1KpRHJyMvz9/XVmnPbHH3/Az89Pq/1QpVKJzMxMSCQSREVFtVqiZmVlwczMDL6+vnjwgIPQUO2vMN56S4lNmwhwuYBYXIfXXpPizJmu77EGB5PYtEmOZ54hsWiRMY4eNcjdTa1pb7UycSKBxEQZdu/m45//NOrU0mTYMAKXL8tw+jQPL7zQdQGOiSFw8yYPK1cqsHixEuPHm6K+noPQUBIffaTAtm18XLv21wrB3Z1EdDSJyEgSTk4UbGxUdR6SBGpqZCgokKCgQI6CAj4qKqxQWGgFqbRrJw0HBylcXJRQKMw17PGjoggEBVE4f57XKnVz9mwlCAI4fVrz87BzpwyLFrW9PUxRqpTU994zRlMTB3Z2FH74QY7Y2J7PiLVHQ0MDbt++zXy36urqYGFhwWyf0VYwPaFlq7P6ACctNvSqpqGhgRGa+vp6WFlZadjSdHSRm5KSgujoaJ1sZaWnp2Pu3LkQi8UGOzSqDQYjLgAglUp1+qbeuHEDnp6ecHV17dL96aEtExMTREREtLkll5ubCx6Ph4CAAADArVscjBmjvcDMn0/gp5+UkMsbcOPGTeTlTcX77/O0yi+fO1eJ9esVcHGh4O5u1upKtb8QGEgiL6/tk8nx41KMHk3i44+N8MMPnW9vmZtTuHJFiqAgCtOnm+DKlbY7edqymNmzR4alS01gZETh5k0pmpqAZ581hVCoCvR6910l/PxInDrFw4kTPGYVoSusrSlER8sgFktQVWWFsjLV54rDoTBtGglPTxJHj/JbNYMMG0Zg3DgSmzdrvj8jRxI4e1bWKnKbprwceOcdY6Z29cwzBHbvlsPNTX+nhIaGBqSmpsLd3R0+Pj7gcDiMFQy9qgEAe3t7pimgp1tEna1qaCHjcrmQy+WM0FRXV4PD4TBCIxAIWp0TkpKS8NRTT+kkmvjq1at44403UFhYOCDExaAueenBR10+XlcL+mKxGJmZmXBzc4O/v3+7V05cLlfjMYcPp3DhghyTJ2v3BTh8WBUqtmsXDxRFYsUKJWxtK/Dee46ore3a1fbRo3ycOaMyWUxLk0IqLcGsWS4oLtZPJ5OucXKiIBRy2hSWBQuU2LtXjuxslX19V52Nv/1WjqAgCn/+yW1XWABg2TIl/vUvzb8ZlwtMm0bg7FkeFi0yQVKSFCkpUixfboykJB7WrzeCsTGFmTMJrF2rgLGxKj6huJiD2loO6uqA+noOKApobARqazmor+/4JGFjI8Pw4XUwNTVBba0RUlJMQZKm//sZheeeU8LaGti1i4+mJs3X4+tLYvlyJd59V+XxpU52djO8vdsWCYoCDh5UrVZqajgwMqLw8ccKrFqlbLNzTFfU1dUhLS0NXl5e8Pb2Zm43MjKCi4sLXFxcmBRZsViMwsJCptXZ0dERDg4OsLS07FarM9D+AKd6U0DLAU7alqawsBC5ubkatjTm5uY6jQig25AHgrAABrZyUSgUOhUXVfFdAC8vr3bvQ1EUCgsLkZ+fj+DgYLi5uXX4mPn5+ZDJZAgNDdW4/fx5DubM0f4KSyAg8c47f2LWLDNUVlbC0zMKn37qgCNHtOud5/MpjBtXirVr+Rgxwhrvv9+1K/3extpagfr69o/LzY1EeroUHA7wzTd8bNpk1GUfsTffVGDzZgVIEpg82aRDK5mKiia4uGi2qD/7rBIbNyowerQpKis5GDuWwKFDMlhZAfHxPHz7LR9paa0fk8+nYGsLEAQgkaDD4zU1pTBiBImoKBJKJVBeTuDsWSNIJH89bnh4I2bOJCCTmeHrr1t/pvz9SaxapcDy5a0vQhISpJg6tf3vUEUFsHLlX6uVyEgCu3bJERKi39NATU0NMjIy4OPjo1WbrVQqZVY01dXV4PP5TFOAQCDo8QybNq3O6gOcNTU14PF4kMvlCA4OhoODQ4+PJSEhAd9//z1u3brVo8cxFAa0uGRmZsLS0hI+Pm3PpZAkiZycHIjFYkRGRsLW1rbTx3z48CEaGxsRHh7e6mfHjnHxwgvdO6E//3wBvv3WBtbWpiBJEvHxXLz7rmmX3H/V4XAozJpFYOlSJSZMIPHwIQeRkT1fsneXrppMTpumxO+/q7qYfvuNh6++MkJpadevCJ9/XomffpKDy1XVENo68aojkTTBwqL1/FNhYRMePuQiNtYEDQ2qjqnvv5fj6adVn8v0dA7OnuXh5k0eUlO57baT83gUvLxU7ti+vqoWdFtbCiUlHFy4wMMff3A1HImdnJowb54MPj5KXLrEwZkzDq0eMyKCxOrVCrz3nhHKyzXfmw8+kGPt2vYzaCgKOHSIh9Wr/1qtrF2rwD/+oYSO49lbUVVVhczMTPj7+8Pd3b3bj6PeNCEWi9Hc3AyBQMCITU/n2dpqdW6vVkOSJEQiEXJycmBmZgapVApbW1uNVY22K5BffvkFhw8fRnJyco9eh6EwoMUlOzsbxsbG8Pdv3TZMD0ZSFIXIyMgu970XFBSgpqaGCdhpydWrHK23yGiiogjs2SOFr6/KD00k4mDVKmMkJnbvimjQIBIvvkjgpZeUCAyk8McfXEyZopv+fl2xc2cePD0fo66Oh2vXApCQ4Irycu3OdnPnKrFvnxxGRqqup5gY007rIe2Jyz//qcC//61AejoHzz1ngooK1Ul87FgCr76qxLhxhIZTsFSq2hqrqgKMjVU+Z2ZmFBQKVZbMrVv0f60L8P7+JEaProKHRwGMjPyxb59VmxHEI0eKMGXKA+zfH4aCAs32rWefVeLnn+XoaEi8pISDd9/9a+A0IoLErl0yhIbq/6svEomQlZWFoKAgJshPV0gkEkZoampqYGZmptHqrIumgI5WNVKpFLdu3cL48ePR1NTEdMPV1tbC2NiYqRnZ2tp2aYp/x44dSElJwam+SJbTAwYlLkqlUidOxjR3794FAAQFBWncTg9GCgQChISEaGXfUFRUBKFQiGHDhrV7n9xcDqKiul+E3LlThpdfVrUrUxRw7BgPH39spHX2uTpRUQRmzCAwZYqqu0kiAT76yAi7d/fu1pmnJ4kDB2SIiKAgkwFJSVz85z98nDrVvQL5ypUKrFunAJerqnNMmNB5fWbsWAJnzsjaFBcAuHGjGUOHUqitBT780Bj792s2Wvj5qfzKXFwoWFioVmYKharGUljIQVERB42NrV+LkZHKAWD6dALPPKNEcnIFjh83x/XrbbtPvPaaAi+9RGDJEmMUFGi+puDgGuzZUwg3t/anzwkC2LGDj3//WxVaZ2REYc0aBd59V/+rFUBl3ZSdnY3Q0FCddYC2h1Kp1Gh1ViqVTFOAg4NDt/zP1FFvCqBXNLW1tcjNzcWoUaM0VjUEQTADnFVVVZDL5Rq2NO0V/zdv3oy8vDwcOnSoR8dqKAxocbl//z7kcrlGfaSsrAw5OTnw9fWFl5eX1kvX0tJSlJSUICYmpsP7FRUB/v7d/0CPHUtgwwY5wsLogT1g3z4+vvzSqNUVsLY4OFCYNInAuHEEhg9XDfVxOMDNm1ysW2eEy5d155X05psKLFumWjlRFFBYyEFKChcXL/Jw4QKv1fR9VzExobBxo+qxAdUK4tlnTbrkfpycLMXw4aSGuERFEUw9xdubxLlzMqZrqriYgz17VALY0lalIwYPJjF8uOq/ESNI+Pmp3Jnj47lISGj77O7gQOH//T8FRo8mMH26KWprNd+fwEAS589LQJLVEIlEEIlEIAiCSXx0cHCAsbEx0tM5ePvtv+ZWnnqKwLZtcgQH987XvaysDHl5eRg6dCgc2wqF0SN0ezEtNPX19bC0tNRode5p0byxsRGpqalwcXHB4MGDOxzgpG1pxGJxhwOcn332Gaqrq7F3794eHZuhMKDFRb0+QlEU7t+/j+LiYoSHh3f7A19RUYHHjx9j5MiRnd5XJgNsbHp2xfTqqwp89JECTk6qL01OThG+/ZaLxEQ/SCS66VKxtqYQFaUqMvv7k/DxoeDjQ8LJCcyQIEEAVVVAaalqkI+iVPke5uYUXF0pCATQuBqWyYDHjzl4+JCL7GwOMjK4SEvjauWT1R7+/hJs21aDp56yBp/Ph0QCvPyyCc6f75ooSiRNAICoKFNmhuT0aSlmzPhry9DNjcTu3fJWWSViMXDnDhfl5RxUVHAglXJgbKyyY7GyUq3MBg+m4OlJwdgYuHOHg+RkHpKTeW1O0dMsWqTEwoVK8Hhoc+syKkrlA9YyaYI+kYpEIojFYgiFTThyJAwJCe4gSQ5sbCh88YUcS5YQeu0EU6ekpAT3799HeHi41gPM+kAulzNCU1VVBQ6Ho+F/pq0LiEQiQWpqKgYNGgRfX19mJdOVAU56hUWvagiCAIfDQUZGBh4/fgwzMzNs27ZN128Bw/bt27Fp0yaUl5cjJCQE33zzDcaMGaOX5zIocSEIgmkL1AUFBQWorq7G0KFDGa+ytgYjtYHOt3j66ae7/DsLFvBx/Hj3VwPm5iQ++ECOZ57JQkNDFSIiIiCVWmPbNiP8/DO/U4+y7mJpqdr6sben4OCgEhAzMwp8vqq+wOWqrEikUg6am1XRw0IhB0IhUFHRtXwWbTAzo/DGGw148cXHqK0VQiqVQqFwxocfhuHu3a7VkgYPJpGbKwUAfP89H++/r9q+bGxswpo1Rti2TfNEM2ECgSVLlJgwgUBHDh8UpVrhZGVxkZXFQWYmFykpPNTVtf8eTJqkqodNn05g40YjbNnS+iQ3bhyBw4dl6KxWTVGq9va1a/8q9o8dW4o33rgPf39rprtK35b0hYWFePToUY9sl/QJnQ9Di41EImH8zxwcHDrNh2lqasLt27fh4uLSrku7NgOcjY2N+OOPP/Dpp58iLy8Pjo6OWLZsGWbMmIGYmBid/r0OHTqERYsWYfv27Rg9ejR27dqFn376Cbm5uXoxyhzQ4lJcXIzS0lIoFAqYmZkhPDy8R15lgKrzJScnB2PHju3y70gkEqxfX4Gvvw7u0XO7uEjwj380YOlSC5iZqT50TU3Af//Lw/btRl2eBelvcDgUFi0i8NFHCri6/vVxPXZMgZUrLVBV1fWGh6ysZgwZonqM6mrAw0N11j54UIYZMwi8/rpxmxb9XC4Fd3dVB5iNDcXUw6qqVCuY8nJOp7n1ABAVVYfnnjPBggUUGhuB6dNNWnV+AcDy5Qp89ZWiw0L9X6+Jg9WrjRn3AC8vElu2yDFpkkLDkkYul2vUIXRl3kjz6NEjFBUVITIyEjY2Njp9bH1B+5/Rrc50Ib4tMe6KsLREmwHORYsWMYmdZ8+ehb+/P65fv66z1xoTE4OoqCjs2LGDuS0oKAhxcXH48ssvdfY8NANaXO7du4eCggIMHjwYAQEBOhlOovv1x48f36X7V1dXIz09Ha6urrC2DoCPT8/bgu3spFi4sAJLlxLw9lZNMFMUcPUqFzt38tv0m+qPmJhQWLCAwNtvKzTmMGprgf/3/4zx66/ad9HRW2I0dN3FzIyCWNwMigK2bePjiy+MdOJ4YGNDYcoUGfz88jBpEonISH98/70xPvqo7YaPfftkWLCga1vDNTXAF18Y4ccf+SBJle/Z6tWqYciWukGbN9LbZ3V1dbC0tGTqND2pQ1AUhYcPH6KkpATR0dGdpsQaKnQhXl2M6VZnCwsLZGdnw9nZucN49c7oaFWzYMECzJw5E//4xz9AEATKysrg4eGhk9cml8thbm6Ow4cPY+7cuczt77zzDjIyMpCSkqKT51HHoCb0dTWZSg9GFhYWwsTEBIGBgTp5XEA7F4GSkhLcvXsXgYGBcHd3/9+SvAEvvmjWyv9JG2pqTPHDD17Ys4fAjBmPsHChGEFBNoiOdsTvv1ugthY4dYqHhAQ+Ll3iQqHoX0Lj5kbitdeUeOUVJRzUxj1kMmD3bj42bOg8rqAtjh0rglxurWEnMnYsgStXeGhuVk3Y29gAK1cqsWCBEjt3GuG//+W1aaLZHkFBJJ56isSIEQRiYkg4O9chPT0NqakhmDBhcJu/ExWl2vrqamSRQgHs2cPH+vVGzBwUbQXk6dn2tSKHw4GlpSUsLS3h7e2tUYcoKipiclgcHR1hb2/f5e0YupZZWVmJ4cOH9+v8dx6Px6xaAgICmFbnsrIy1NfXw8jICBwOB7W1td12Um4ZIUD/V1FRgevXrzPOBTweT2fCAqgcSAiCaNW15+zsjIqKCp09jzoGtXIhSRIKhaJHj0EQBHJyclBVVYUhQ4agsLBQqy2szmhsbMT169cxZcqUdu9DURTy8vJQVlaGiIgICAQC5mqF3nNNTeVi7FjdbUuMGVOFUaMeYezYBri5qTqHbGxsUFvLwcmTPJw+zcPVq7weRQrrEwcH1fDn/PlKjBlDamwHNTWpBgA3bjRCUVH3tv6GDJFiz54bqK+vZ+xEHB0dQRAWcHVVnRA5HAqNjc0av0d3uGVkcFFYqLJzaWwEzMwACwuVWaWXl6oJwtOTYpoalEpgzx4p3nvPFgTR9jFv2iTHm2+2nZPSFhQFnDnDwwcfGDG+aIGBJDZvlmP8+O7Ph9E5LHT3mUwmg52dHbOqaa91lqIo3L17F1VVVYiOju6V5MfepqmpCampqczsDN0UQJKkxhZjT/zPRCIRZsyYAX9/f+zfv18nDsstKSsrg5ubG65fv67RjLRu3Tr8+uuvyMvL0/lzGtTKpadIpVKkp6cDAEaOHAmpVKrT7jPgr5ULRVFtrrRoV+WmpibG0K6lsABAdDSJxsYmLF1qjEOHev5nuHrVHlev2uPbb0lMmSLGyJEPMXRoLZydHTFtmiMWLhSAw+Hhzh0OrlzhISWFhxs3uK1aXXsLExMCISENmDrVFNOmAVFRZKtupkePOPjxRz5++YXfYWG8K2RkkODxRkAmkzHbHo8ePYKJiQmefjoG167ZgKJUA5h//illjoXDAby8KHh5df45ys/n4PPPjRAfT/89W59sn3tOiS1b5NC2iSojg4O1a42ZVmsHBwoffKDAK6/0fGaFy+VCIBBAIBBoXLFXVlbi3r17Go7FNjY24HA4IEkSubm5qKurw/Dhw3VevzEEmpubkZqaCicnJ2YrjPY/q6+vZ1Z9tOcYLTRWVlZd3oWpqqrC7NmzERgYiIMHD/a4JtweDg4O4PF4rVYpQqFQbzNIBrVyaRl1rA20KZ69vT0zGNnQ0ICbN29i0qRJOjtGuVyOy5cvY/Lkya22Dpqampi41vDwcPD5fEbc6HbEtigs5CA4WPcWLQ4OBJ5+ugbBwSUYOrQSgwdba8xCtOxwysri4t49LoqL2x4C7C4uLiR8fSkEBpIIDGyGkVE2hg0zRlhYYKuthcePOTh+nIfjx3kdeoNpQ05OM7y8Wn/M6YwRoVCEESM0h2IXL5bjo4+UaGuonCCAe/c4OHeOh8OH+cjM7Hg1NW6cyr/L3V37r9rDhxz8+99GOHJEJVgmJhTeekuJ1asV6I2aeXuOxU1NTVAqlRg2bFiPBxQNkebmZty+fRuOjo6d1mvpCxZ6VUNvrzk6Onbof1ZbW4tZs2bBzc0N8fHxeg8Ii4mJQXR0NLZv387cFhwcjNjY2IFf0O+uuLQ3GNnU1ISrV69i6tSpOjtGpVKJixcvYsKECRofhpqaGqSlpWHQoEEICAjQKNZ1ZW9WKpXi+++L8cknrT3LdEVYWBPCwyvh71+OyEgKQ4YI4OTk1Grbg6JUxeKiIg5KSriorgbq6jioq+OgtlY10Kmac1HNu5iYUDA3V20TWVqq3I6dnVVtzB4eqtsAVXNDZmYmPD09MWTIEHA4HEilquHNK1dUW3faxBK3hMOhWrU/dxTnq45CQcHT0wz19brpuFu+vB4ffMBHF+zq2qS8nIOvvuLj55/5jAfZggVKfPqpAoMH981XlqIoVFdX4+7du5DJZKAoCnZ2dhptvAMBbYSlJepbjLT/WVvvUX19PebMmQOBQIBjx471ysqPbkXeuXMnRo4ciR9//BG7d+9GTk4OBg9uux7YE/q1uHQ2GCmTyZCUlIQpU6bozBaboiicO3cO48aNYz4QdOE+ICAAHh4eTEeI+jZYR9TV1SEjI+N/H+ZAfP65CTZt0r8/h5tbM4YMqUJwcDOioniIiLBEYKAF+Hzdb5WVl5fj9u174PFCUVXljPR0LlJTua2s4ruLlRXVatr/5s1mrf2zkpK4mDVL+y/6a68pMG3aA5iaFiAqKrLb++YVFcA33xjhp5/4TGvzlCkEPv1UjvDwvv2qEgSBjIwMEASByMhIKJVK5iRaXV0NMzMzZmVsa2vbL9MUeyIsbdHU1KSxqvnwww8RHByMx48fw8LCAqdPn9ZJFkxX2b59OzZu3Ijy8nKEhoZi69atOq1Jq2NQ4gKoBKErKBQK3LlzB01NTYiKimrzqoleZUycOFGne5nnzp3D008/DXNzc9y/fx8lJSXtFu47o7KyEjk5OYwVOf07FIU2h/p6A09PKYYMoeDtzYejI9SGKCmYmQEmJiqfLBMT1ZS+QqGymZfJVHkmVVVATY3KeLOkhIMHD+QoLuagqkr3XyIzM6rN+ZLS0qZurxoAVUE+K0vlgFxQAAiFChgZNcHWtgbu7hKMHw8EBNhBIBCAy+UiNzcXNTU13S5sl5cDW7caYc8ePqRS1euJiSHw2WcKjBmjOzPX7qJUKpGeng4Oh4OIiIhWWz305DktNnTBm+4+6w+Z8HSNxd7eHoGBgTrPVZHL5Thw4AD27t2LnJwccLlcTJo0CTNnzsQLL7zQb1u426NfiotEIkFaWlqng5FtrTJ0wcWLFxEdHY3Hjx+jsbER0dHRMDMzY9oKuyIsFEWhoKAAjx8/7tB/iaKAzz83woYNhpfN0pe0Z+X/+usKbNnSs47DjqAnvOnOKqlUCh6PBy6Xi/DwcK2HB8vKONiyhY+9e/mMceeIEQTWrFFg8mSyy51k+kShUCAtLQ1GRkYIDw/vtE2ZLnjTQtPY2AgbGxumDtHZFHxfoG9hoZ9jwYIFkEqlOH36NAoLC3Hq1CmcOXMGx44dg0Ag0Plz9iUGJy5yuRwdHZJIJEJmZiY8PDy6NMx0/vx5jB49Wqf7wZcvXwafz2fErauFexq606a6uhqRkZFdvmI5coSHxYsHXvFUG9qqq9A8fNjU5VkRXaBQKJCamgqFQgETExPGIJFuc+6oa6i0lIOvv1bVVGhReeoplahMnGgYogKovo+pqakwMzNDWFhYt7a66MAvkUiE6upqmJiYMEKjC2v8niKVSnH79m29CotMJsOLL76I6upqnD9/vkvZUf2dfiMu9JX+gwcPEBISAldX1y493qVLlzB8+HCd9Y7X1NTg5s2bcHR0RERERKsp284+mHK5HJmZmSBJEhEREd3qtCkv52DBAuM2UxEHIh0JCgBcuSJFdHTvbh3JZDKkpaXB1NQUYWFhTCphVVUVc8XO5/MZobGzswOPx0NWFgfffacazqQL9aNGqURl/HjDERVAddJNS0uDpaUlQkNDdSICdIceLTa6tsbXFlpYBAIBgoKC9CIscrkcixYtQmlpKS5evDjgVijt0S/ERX0wMioqSquth+TkZISHh+vERI/uSuPxeAgJCYG9vb1W9ZXGxkZkZGTAysoKoaGhOjGlO3qUh5dffvJWMw4OFK5ckfZJ5xTdcm5ra4vg4OA2T7p0aqJIJIJQKEJqqjVOnAjCzZu2zH3GjFGJytixhiUqwF/bRHZ2dggODtbLSZc2bqTFuL6+HlZWVkxTgDbzIt2hN4RFoVDg1VdfRX5+Pi5fvgwHh9YJowMVgxui5HA4GuLScjBS29oJj8fr8SAlRVHIz89HUVERIiIikJ+fD6VSqZWwVFVV4c6dO/Dw8ICPj4/OPshz5xKQSJqgVKrigd96a2ALzfr1crz9trLX7ONb0tDQgLS0NLi4uHS4LcvlcmFlZY8LF5zw3Xd8ZGby/nc7hZEjy/DSSxUYO9b0f7U2CwCGoy50TdPBwUFv20SA6rtuZWUFKysrDBkyBDKZjFn5FRQUgM/na8yL6NIhuDeERalU4vXXX8fdu3eRlJT0RAkLYIArF/Wo49raWqSnp8PBwQHBwcHd+nBdv34dPj4+3Z5CVSqVyMrKQkNDA6KiomBubo6MjAzU1dXB0dERzs7OnbZdFhcX4/79+wgKCurydl5PuX6di48+MtLZIGJf8tFHcrzzjhK92LHZJrRpqZeXV4dBc+XlHOzdy8eePXxUVqruY25O4W9/U2LFCiVcXaVMQwBdg6C3z/q6hZcOwRo0aFCXnX/1gfrKTywWQyaTQSAQMKuanjTo9IawEASBt956Czdu3EBycnKvfe8NCYMVl9LSUuTm5sLPzw+DBw/u9gfg5s2b8PDw6NYft7m5Genp6eDxeIiIiICRkRHTalxbWwuhUAiRSASKouDg4AAnJycN0z96Dqe8vFxnW3PdgSCA8+e52LLFCNevG77YzJqlxP/7f4ouDT/2FnQWvL+/P9zd3Vv9nKKAGzdUrtTHjv1VT3FxIfH3vyuxbJmyTcsXugZBiw1JkhoGkvqyA2mL+vp6pKWlwcPDgxlyNQRoR2e6TkM7OncnWVIqlSI1NZXZ0tTHayRJEu+88w6Sk5ORlJSkl6yU/oBBiktubi4zO9LTpeTt27fh7OystcMovWpydHREUFAQADArKvXCPUVRqKurg1AohFAohEwmYyJM6X9HREQYnKlfdTVw7JjKOTkpqe8EZ8QIGZYsofDccyQMdcC7rKwMd+/ebTMLXiwGDhzgY/9+Pu7e/WvFMWoUgddfVyI2luiy95d6C69IJIJEItEwkNTnZ4i2T/L29oaXl5fenkcXKBQKRmiqqqoYR2c6WbI9u5XeEpb33nsPZ86cQVJSEuNy/CRicOKSlpaG6urqdgcjtSU9PR12dnZafWHKy8uRnZ0NPz8/eHp6MvMrdIJce9BXWGVlZSguLgZJkrC1tYWzszMcHR17dRK3uygUKsPIW7e4uH2bi7t3ucjL40Is1v6LaGlJwd+fRHAwhYgIEjExJIYOJcHl0p5eQojFYmblR1+tt3dy6AsKCwvx8OFDZkgWUA2OJidz8fPPfJw48Vd2jpkZhfnzCbz+ugIRET3/WjU3NzNCU1NTA3Nzc2b7jDaQ1AXV1dXIyMiAr69vv7vKpncR6Cn4pqYmJoNF/Tsnk8lw+/ZtvQvL2rVrcfToUSQlJcHX11fnz9GfMDhxqa2tBZ/P19l2wJ07d2BhYQEfH59O70tRFB48eIDCwkKEhYX9z5Jdu4l7dSsXLy8v5gqrpqYGlpaWcHJygpOTk0EOknUVhUKBjIwMkCSJyMjIHk1f0ys/VVeVKrqY3lt3dHTsM1NE+rNQWlrKJCuWlnLw22887N/P18h4iYwk8MorBJ57Tqk3M0mlUqnR5kznwGubv9KSqqoqZGZmIiAgAG5ubjo+6t6nqamJeY9oQbazs4NIJIKdnR1CQ0P1Jiyffvop/vOf/yA5ORkBAQE6f47+hsGJi1Kp1KlNfk5ODvh8fqd/bIIgkJWVhbq6OkRFRcHS0lJrYamoqEBubi58fX3h4eGh8Tt0OJNQKERVVRVMTVWdQk5OTjq9CtU3dB3K3NwcQ4cO1XkmO52WKBQKW2Wv9JYgq+eUhIVF4do1a+zbx8e5c1yQpOr5bWwovPCCEn/7m1InqxRtaMsloDvFbqFQiOzsbAQFBWFQW/bP/RyFQoHKykrk5+eDJEnweDwNSxpdXcBSFIX169fjp59+wuXLlxESEqKTx+3vGJy46DrqOC8vDyRJIji4/fx6elhMvXCvntnSFSuXx48fo6CgoEMrFxqCIFBVVcU0BHC5XEZoaK8qQ6S+vh7p6elwcnLSa4sqDW1lLhQKma4qJycnpqtKX10+2dnZePSIQHp6NH7/XTPj/umnCSxZokRcHNHn3Ws0tCCrF7s7cwmoqKhATk4Ohg4dCicnpz44av0jk8mQmpoKa2trBAcHMxksdD3L1taWWf2Zm5t36/NEURQ2b96Mbdu24dKlSwgP15+reX9jwItLfn4+ZDIZQkND2/w5Xcik252Btgv37UFbudTU1CAiIkJr87mWnWdKpZL5wDs4OBhM/UEsFuPOnTsYMmRIj7r3ugstyPRJFABzAu3JtpA6KqPTXOzePRgXLriAIFSv0cGBwksvKbFkiRL+/gb1dWkFvUKmi93qLgH0hUtZWRny8vIQFhY2YGcv1IUlJCSk1ee1ublZY8u6O+3gFEXhu+++w6ZNm3DhwgVER0fr6+X0Swa8uDx69Aj19fWIiIho9bOKigpkZWXB19cXgwcPZlYrQNcyWHRh5aIORVFoaGhgOs+ampqYZXxf1h9KS0uRl5eH4OBgg9g+oSiKycxQ79Cj36fu1IDkcjl+/vkRPv54KBoaVNslY8cSWLZMiVmzCPTHPCz1WRGRSASFQgEzMzNIJBIMHTpUbwmEfQ0tLLQTRmcXQvSFCy02XYkwpigKO3fuxBdffIGzZ88iJiZGXy+n32Jw4kKSJBQK3bnaFhYWQiwWa1xVUBSFR48e4dGjR0wODEEQXd4GA/6ycqGvjHRdewBa1x9sbGyY7bPeaG2m36eioiKEh4cbpCcS3aFHv08NDQ3M+0TXaTqjubkZSUlZWLZsNOrqjBAZSWDrVgWGD+97q3tdQbtMFBcXw8zMDE1NTQbvVNwd5HI5bt++3WVhaQl9gUcLcmNjI1P3s7W1Zeqje/fuxYcffohTp07h6aef1tOr6d8MeHEpKSlBWVkZRowYAeCvPXU6e6M7hXt9Wbl0hEwmY06g1dXVsLCwYOoP+vBgIkkSd+/eZZybLek4SQOHduCl36fO2ncbGxuRlpaGP/4IwhdfDEZgIIlr16QGU0/RBXRNsKioCFFRUbC2tmY+T4boEtBd1IUlJCREJ6+B/jyJxWIcOHAA//3vfxEeHo6rV68iMTERU6ZM0cGRD0wMY0Nfj6h7i9FOthwOB0899RSMjY21FhbayqW3t4hMTEzg7u4Od3d3jSGywsJCGBkZaRS6e/qlUiqVuHPnDmQyGYYPH94rEay6wtTUlHmf1Nt309PTmcYJuv7Q0NCA9PR0eHp6oq5O5eAwcaLhFOp1Ad1SXVZWhujoaKYmqP55Ut8WysrK6lOXgO5CRwNYWlrqTFgAzc+Tj48PjI2NcfToUVhZWWHu3LmYPHkyXnzxRTz//PM6eb6BhMGtXLSNOu4MoVCI+/fvIywsDGlpaRAIBMwQlbaF+/v376OiogIREREGk8egbh8iFAoBQKPzTNvtOplMhvT0dCYYylAaCnqKera5UCiEXC4HSZIYNGgQ/P39UV9vjHv3uLC3pxAYaFBfiW5DURTu3bsHoVCI6OjoLm0R9qVLQHehhcXCwkJn0QBtER8fjzfffBP//e9/MX36dGRnZ+PkyZMAgDVr1ujlOfszA15c6CExgiAwZMgQeHt7a124p6/kpVKpQVq50NCFbrrzTC6Xw97eHk5OTnBwcOj0CrSxsZFxNGjPSn4gUFZWhtzcXDg6OqK5uZlJSqRXf4b699UG9VmdYcOGddsdordcArpLbwnL8ePHsXTpUvz++++IjY3Vy3O0ZMeOHdixYwcKCgoAACEhIfj4448xffp0AKq/8WeffYYff/wRNTU1iImJwQ8//GAwczYDWlwoikJubi6Ki4sREREBZ2dnrbfBmpubkZGRARMTEwwdOrRfbBEAf2Vl0ELT2NgIOzs75gTacqururoamZmZ8PT0NCjTQl1TVFSEBw8eIDw8HPb/c5KUSjVdis3NzZn3SRtTREOBJEnk5OSgvr4e0dHROtvWVCgUGl1VtKeXLtvBtaG3hOX06dNYvHgx9u/fj+eee04vz9EWJ06cAI/HY2xk9u/fj02bNiE9PR0hISHYsGED1q1bh59//hn+/v744osvcOXKFdy7d0/rkQh9YHDiAqi2ZnoKSZLIzs6GWCyGUqnE5MmTtRaW2tpaZGZmwsnJCQEBAf36Sr65uZkRmtraWlhZWTFWNA0NDcjJyUFgYOCAsABpC7rzjb7QaG9bkz6B0hYiPB6v1ZyIIUOSJLKystDU1ISoqCi9ta/ryiWgu9DCQjtF6OvvcvHiRSxcuBC7d+/Giy++qJfn0AaBQIBNmzbh1VdfhaurK1atWoX3338fgOq86ezsjA0bNuD111/v4yMdoOJC1w0oikJgYCBu3ryJiRMngqIonVi59HfkcjlTe6iqqgJFUXB2dsbgwYP75ZV6Z1AUhby8PIhEIsbapyu0NSeiPuBqaKtYgiCYRoyoqKgeeb5pS3suAU5OTrC0tNTpZ0oulyMtLQ1mZmZ6FZaUlBTMnz8f27dvx6JFi/r0e0EQBA4fPozFixcjPT0dpqam8PHxQVpaGiIjI5n7xcbGwtbWFvv37++zY6UxyGptyzRKbWhoaGBstUNDQ0EQBHg8HtLS0pgr9Y6uqtRnO7pi5dIfMTY2hqurKxoaGsDn8+Hl5cUkLNJX6k5OTrCzszP4K/XOoFewDQ0NGD58uFa1By6Xy8QnBAQEMPMPBQUFyMnJYQrdhuB4TRAEMjIyQBAEoqOje134LCwsYGFhAS8vLw2XALqbUT1RsiefKYVC0SvCcu3aNSxYsADffPNNnwpLVlYWRo4cCalUCktLSxw9ehTBwcG4fv06ALQahHV2dkZhYWFfHGorDFJcuotQKERmZia8vb0xZMgQZgvsqaeeYmYf7t+/D2tra0Zo1Iu3BEEgNzcXtbW1GDZsmEHsW+oD2qSzqakJMTExzImRvlIXCoXIyckBQRAaIWj9rXNMqVQiMzMTSqUSw4cP79GVPIfDgbW1NaytreHj46NR6L5//77e5446gnap5nA4iIqK6vO/E33x4urqqrH6u3v3LhQKBeOm0N70e3soFAqkpqbqXVhu3ryJ+fPn46uvvsLSpUv7dMUSEBCAjIwM1NbWIj4+HosXL0ZKSgrz85bHRg+CGwIGuS0ml8u1WrlQFIWCggI8ePCAsbUgSRIEQbTaBmu5JUSfFOzs7JCfnw8Oh4Pw8PA+s1rRN3K5nDkR0SadbUG3pNJ1mubmZggEAuYE2ptbLt1BLpcjPT0dfD5f7y3V6nNHYrEYRkZGzIpG36s/+kqebh3v7aK6NtBNJrQot3RT6Mg8khYWU1NThIWF6e09TU1NxZw5c/DJJ5/gnXfeMZgTNc2kSZPg4+OD999/n90W6w7abIvRnTFisRgjRoyAtbV1h4V7Y2NjuLm5wc3NjTkplJWV4dGjR+DxeHBzc4NUKoWxsbHBfbB6SlNTE9LS0rpkWcPhcGBjYwMbGxv4+flBIpFAKBSipKQEd+/eZVp3nZyc+nxLqCW0y7WFhYVer3BpjIyMMGjQIAwaNAgkSTJzR/Tqj24H1/VAIj0UrO+itq7gcDiwsrKClZUVhgwZwky/i0QiPHz4sF2XgN4SlszMTMTGxmLNmjUGKSyASqBlMhm8vb3h4uKCCxcuMOIil8uRkpKCDRs29PFRqjDIlYtCoWAGHDuCvjolCIIpYNKpkV0t3NNTye7u7rC2tmauqng8HnPy7K92GOrU1dUhPT2dGRrsyReHbt0VCoVMCJq+irfaIpFIkJaWBnt7ewQFBfXpsbQ3kNheO7g20JG99IVCf/98qrtei8VixiVAIBCguLhY78KSk5OD6dOn45133sGHH35oEMKydu1aTJ8+HR4eHmhoaMDBgwfx1Vdf4ezZs5g8eTI2bNiAL7/8Evv27YOfnx/Wr1+P5ORkthW5I7oiLo2NjcyXi75qo21eumo+WVxcjPz8/FZhSfQ+cWVlJUQiESiKYk6e9vb2/e6LTIdC6SPGll790ZHF9NUnLcq9+SWlBZS26jCEE4Q6dEoi3Q5OJ5M6OjpqJcrNzc1ITU1lhl0N7XX2FFqUKyoqUFJSApIkNURZ1yvlvLw8TJ8+HX//+9/x73//22Dez6VLl+LSpUsoLy+HjY0NwsLC8P7772Py5MkA/hqi3LVrl8YQZXvxIr2NQYpLZ2mUIpEImZmZGDx4MHx8fDQm7nVt5aI+9S4UCqFQKDSEpq+Lp51BC2hISIjeLdZpKxq6TsPhcDRmRPRZD6CdGPpLDrx6R5VYLIaxsXGX/OEkEglSU1OZ2StDORHqGrqWZGxsDH9/f2ZVU1NTAwsLC6YhoKcuAfn5+Zg+fTpefvllfPXVV/3uwtGQ6VfiQlEUCgsLmZMlvcfdVuG+PRQKBbKysiCVShEZGanVVVDLvJXm5mZmP93R0dGg5h7UM+D7wgutpZeXPmdEKisrkZ2dbTB5M9qi7g9H54moB6HRFzD0at3V1RW+vr5PhLCEh4drnPBbDrn2xCXg8ePHmDZtGubNm4ctW7awwqJj+o240ImPQqEQUVFRsLGx6ZaVCz2ApAsrF9peRSgUorGxUaObqi+7zegmh7q6OkRGRnbJsFCfqGdkCIVCSCQSnb1XJSUluH///oCZSaIoSmPyvampCQKBAFZWVigpKRnw9jwKhULDOLWjE776BYxIJIJMJuuyS0BRURGmTp2KmTNn4vvvv2eFRQ8YpLi0TKOk22cVCgVjaaFt4b62thYZGRlwcXGBv7+/zj9MtL2KUChEXV1dn3VTKRQKxqhTF+mY+qCpqYnZOqurq2Pmjroa7gX8lVFSWFiIyMhIg3Gp1jUSiQRFRUUoKSkBgFbv1UASGaVSibS0NKZ9XJtVCEVRGjWturo6WFlZMStA9ZpWWVkZpk6digkTJmDXrl2ssOgJgxcXOszJ0tISQ4cO1chn6Wrhvry8HLm5ufDz8+uV/fiWwV504ZbuptIX9MrMzMwMYWFhBj3zQKMeWlVVVdUl00jaSr6yshJRUVEG0RmjL6qrq5GRkQE/Pz84OztrvFd92Tyha3oiLG2hXtOqqqpCcXExkpKSMH78eGzduhUjR47E3r17+8V3pL9i0OIiFouRkZEBT09P+Pr6al24b2nl4uDg0BuHr4FCodAY2jQzM2OERpeT3HTwlYODAwIDA/vl1Rj9N1c3jWzZDq6+5RcdHW1wMza6RCwW486dOwgICGhlKKreuisSiQBAw02hP500dS0sLSFJErdv38a2bduQlJSEhoYGzJkzB3PmzMGMGTMGxHaqIWKw4vLw4UMm8dHV1ZWpr3A4nC6dOAmC0Kg7GEJML52MSG8J0QmSPb3ypGOXvby84OXl1a+vYGnoYUT6vaIoCvb29pBIJKAoSq+Ov4aAUChEVlYWQkJC4OLi0uF96Y7Glg7FdI6PIb9P+hYWmqqqKsycORO+vr5Ys2YNzpw5gxMnTqC2thb5+fl6ec4nHYMUl+LiYmRnZzN76doW7mUyGTIzMwEAERERBmlVQpKkhtDQbbvOzs5aWYaUlZXh7t27/bZTqitQFIWqqirk5OQw26XqIWiG+PftCRUVFcjJycHQoUPh5OSk1e9SFKXhUFxfX9+tmlZvoFQqmfjpiIgIvQlLbW0tZs2aBXd3dxw5ckTj8yKRSPT2nnz55ZdISEhAXl4ezMzMMGrUKGzYsAEBAQHMfQw98KsnGKS4KJVKSCSSbk3c02mKtra2CA4O7hfbA3TXC90QQBCExixNW69BvaAdHh4OgUDQB0feO0ilUqaWFBoaCqlUqtGlZ2trq7cBu96mtLQU9+7dQ1hYmE62cdVrWtXV1TA1NWXeq75MkuwtYamvr8ecOXNgb2+PY8eO9eoqbtq0aXjhhRcwfPhwKJVKfPDBB8jKykJubi4jaIYe+NUTDFJcCIKAXC7XunAvEomQnZ3dr9s11Q0jKysrIZPJmL10R0dH8Pl8kCSJvLw8iMViREZG9vsPYUfQdi4CgQBBQUGtVnQtY3jVmyf6WzcVPfAaERGhl4sFeluWrmlxOBzms6XvIdeWx9EbwtLY2Ii4uDiYm5vjxIkTfX7hIRKJ4OTkhJSUFIwdOxYURRl84FdPMEhx+e6771BVVYXY2Ngutw0XFRUxw5Wd7VH3F9Sjiun5EDs7OyZMLSoqSu+Jf31JfX0944fm5+fXqVDQHUJ084SpqSmzAjSEvPeOKCgowOPHj3utrbqtGZHe2GrsLWGRSCSYN28eOBwOTp06ZRA11wcPHsDPzw9ZWVkIDQ3Fo0ePDN7ZuCcYpLgkJCTgp59+wqVLl+Dn54fY2FjExcW1eeVKW7lUVlYiPDx8wM47AKq94zt37kCpVIIkSWY7qLMAtP5IdXU1k83j5eWl9e/T3VR0TYvL5TJCY0hxxerxy1FRUbC2tu6TY2jPCr9l5lFPIAgCaWlpeheW5uZmLFiwAFKpFGfPnjWIlT1FUYiNjUVNTQ2uXr0KALh+/TpGjx6N0tJSuLq6Mvf9+9//jsLCQpw7d66vDlcnGKQx1rPPPou5c+eirq4Ox48fR3x8PLZs2QJPT0/MmTMHc+fORVhYGKqrq7F161bMnDkTI0aM6PNlrz6RSCTIysqCQCBAcHAw5HI5s6LpKACtP0IbbbbVgttV1NuY1Wtad+/ehVKp1LhK7yt/ONqip6ysDMOGDeuzq+u2rPBpoXnw4AHMzc0ZoeluDDZBEEhPT2dyhPQlLDKZDC+99BIaGxtx/vx5gxAWAFixYgXu3LmDa9eutfqZIQd+9QSDXLm0RX19PU6dOoX4+HicPXsWdnZ2IEkSgwYNwqlTpwzmQ6QPampqkJGRAQ8PjzbdftsLQDMEC3xtoQvaoaGhWndKdYWW/nBNTU1MMmJv2vbQg6BCoRDR0dEG1cWlTsvZI3oFqI0ZKS0sABAZGak3YZHL5Vi0aBFKS0tx8eJFg2lyefvtt3Hs2DFcuXIF3t7ezO3stpgBcunSJTz77LPw9PREcXExrK2tMWfOHMTFxSEmJqZfdIh1lcrKSuTk5MDf3x/u7u6d3p8+GdAW+LTbbn+qO/Rm9xvdtisUClFfX6+X7aCWUBSF3Nxc1NTU9KtBUPXIYpFIxEQW0yvAtrz6ektYFAoFXnnlFTx48ACXL1/uk4HpllAUhbfffhtHjx5FcnIy/Pz8Wv3c1dUV//jHP/Cvf/0LgEognZyc2IJ+X3Du3DnMmzcPGzduxPLly9Hc3Izz588jISEBJ06cgKmpKWbPno25c+di1KhRBm+J3xGFhYV4+PBht00ZW9YdDDUAjaIo5Ofno7y8HJGRkX1SdwBa2/bQK0BHR0eduSnQDgP19fWIjo7ut7Uy9WYTkUjUZks4QRDIyMgASZKIiorSm7AolUq89tpryMrKQnJysl5WvN1h+fLl+P3335GYmKgx22JjY8NcUBh64FdP6HfiQud2TJgwodXP5HI5Ll68iISEBCQmJoLD4WDWrFmIi4vD2LFj+82wHUVRGnkzNjY2PX5M+qqT3g4ylAA02u26trYWUVFRBlMvokPQ6O0g2k2hs7yVjiBJEllZWWhqahpwDgMtW8ItLCygVCrB5/MxbNgwvcVREASB5cuX4//+7/+QnJxsUIPE7V2M7Nu3D0uWLAFg+IFfPaHfiUtXUSgUuHLlCg4fPozExETIZDLMmjULsbGxmDBhgsF+sQmCQHZ2NhobGxEZGamXky1t615ZWamRteLs7NyrAWgEQSArKwvNzc0GfbJVz1sRCoUAoNF51tW6Q2ZmJuPsbUjZP7pGKpUiLS0NcrkcJEmCz+cz75c27hOdQZIkVq5ciStXriApKQkeHh46eVwW3TBgxUUdgiBw7do1HDlyBMeOHUNDQwOmTZuGuLg4TJo0yWCululoAaD3bGv6KgBNoVBovNb+crJVTyYViUSQy+Wd1h2USiUyMjJAUVS/eq3dQX0rLDIyElwuVyMIjSAIpoGiJ6FxJEli9erVOHfuHJKSkrrVrs6iX54IcVGHJEncuHGDERqRSIQpU6YgLi4OU6dO7bN20KamJqSnp8PS0hKhoaF91pRAzztUVlaisbGRyS53cnLS2cpCJpMhLS0Npqam/SYaoC3aqjuoZ72bmpoy4Vc8Hk+vLbiGAL06IwgCkZGRrVbAtPsELTT0UDC9qulq/YkkSaxZswbHjh1DcnIyfHx89PFyWHrIEycu6pAkidTUVMTHxyMhIQElJSWYNGkS4uLiMH36dJ3UOrpCXV2dRpCZoXR06SMArampCWlpaYz3m6E0FegC+v0SiUSora2FpaUlZDIZzM3N9VrQNgRoYVEqlYiKiurS1qp6uBf9ftFC014LPUmS+PTTT/H7778jKSlJo1DOYlg80eKiDl1sPXLkCBISEvDw4UNMmDABsbGxmDlzJuzs7PRy0heJRMjKyoKPjw8GDx6s88fXFboIQGtoaEBaWprBiag+oPN1KIqCUqlkDCN7MohoqHRHWFrSMtzLyMhIIwiNy+WCoiisX78eP/30Ey5fvjwgnIMHMqy4tAFFUbh79y4jNLm5uXjmmWcQGxuL2bNnw8HBQScnBzr/PSQkBM7Ozjo48t6hOwFo9CDoQMqcaQ+pVIrU1FTY2NggODhYI16BDkHTR4G7L9CFsLT1mOp1mh9++AFKpRJOTk44deoUkpKSEBYWpoOjZ9EnrLh0Am3RQQtNRkYGRo8ejdjYWMyZMwcuLi5anygpisLDhw9RXFyMiIgI2NnZ6eno9Q9BEBpDm3w+v1UAGr066+ogaH+mqakJqampsLe3R1BQUKvPhnpLOF3gVk+Q7E9zWSRJanTA6ePYKYrC1atXsW3bNly9ehVSqRQTJ05EbGwsYmNjDar1mEUTVly0gKIoFBQUID4+HkePHsXNmzcRExPDfNDd3d07FRp6rqOmpgZRUVEGa/vRHdTTI4VCITgcDiwsLFBbW4uQkJABfyKQSCRITU2Fk5MTAgICuhTDTccriEQiNDc3MwmSjo6OBj2XpS4skZGReuuAoygKO3bswBdffIFz585BIBDg+PHjOHbsGKZPn461a9fq5XlZeg4rLt2EoiiUlpYiISEB8fHx+OOPPxAVFYW4uDjExsa2ufWjUChw584d5gtpqHMduoAkSdy7dw+lpaXg8/mthjYHWnGbrie5urrC19e3W9t+EomEEWbambinDRT6gBYWuVyu15kdiqKwZ88efPTRRzh9+jRGjx7d6uf63F69cuUKNm3ahNTUVJSXl+Po0aOIi4vTeP6BmiKpC1hx0QEURaGiogLHjh1DfHw8UlJSEBoaygiNn58fHj16hP379yMuLg5hYWH9avtDW+itxNLSUsbOpb0AtJ7MOhgKdXV1SE9PZ0LqdAHtTCwUCpkQtM46qXqD3hSWX3/9Fe+99x5OnDiBcePG6eV5OuLMmTPMReO8efNaictATpHUBay46Bg67z0xMRFHjhzB5cuX4eXlBbFYjJiYGBw8eHDAC8vdu3dRVVXV5rYfnfFOuwNIJBJmK8jJycmgt4Laora2Funp6RgyZIjeuv1oKxq6rmViYqLRSdVbQtObwnLgwAGsWrUKiYmJmDhxol6eRxs4HI6GuAz0FEldwIqLHqEoComJiVi4cCECAgJw9+5deHl5MZk0Q4cO7dedQi2hrWskEkmXUzKbmpqYraD6+vp+FYBWXV2NjIwM+Pn59Zr1CN1JRddpOByO1hb43YEkSdy5cwcymUzv9jVHjhzB8uXLcfjwYUyfPl1vz6MNLcVloNvl64KBewltACQmJuKll17Cjh07sHjxYtTX1+PkyZNISEjApEmT4OLiwghNVFRUvxYa2uKEJEkMGzasyysQc3Nzpj1ZfSvo/v37sLKyYoTG0Bof6A64wMBAjRRBfUO3MTs6OmpEFefl5TEecT21VmkJLSxSqRTR0dF6FZbjx4/jzTffxIEDBwxGWNqioqICAFqNEDg7O6OwsLAvDsngYMVFj0RERCAxMRGTJk0CAFhbW2PhwoVYuHAhGhsbcebMGSQkJGDWrFmws7PDnDlzEBsb2+8yaeRyOdLS0mBsbNyjzA5TU1N4eHjAw8NDIwDt4cOHBhWAVllZiezsbISEhMDFxaXPjoPL5UIgEEAgEMDf3x8NDQ0QiUQoKChATk6ORudZd5tHelNYTp8+jaVLl+KXX37BnDlz9PY8umSgpkjqAnZbzACgM2ni4+Nx8uRJmJqaMuFnhp5J09zcjLS0NFhZWSE0NFQvqy9DCkArLy9Hbm4uhg4dajC5IW1BbzeKRCLU1dUxMdiOjo5dXgXSrhXNzc16F5YLFy7gpZdewu7du/Hiiy/q7Xm6C7stpj2suBgYMpkMly5dQnx8PBITE8HlcjF79mwmk8aQOqsaGxuRlpbW5bkOXdAyAI3L5TJCo+9pd9pRITw8HPb29np7Hl1DW/fQ1irm5uaM0LRnRdObwpKcnIwFCxZg+/btWLRokUFe+bdX0B+oKZK6gBUXA0ahUCAlJYVxcFYoFEwmzfjx4/t0TobukqLbb/vihNBRAJqui9tFRUV48OABIiMj+7WjAr0KpEPQ2kon7U1huXbtGubNm4etW7di6dKlBiUsjY2NePDgAQBVRPOWLVswfvx4CAQCeHp6DugUSV3Aiks/gSAIXL16lXEHaGxsxPTp05lMmt4cshOLxbhz506vdkl1Bh2ARs/S0MVtepamJ1uLjx8/RkFBAaKionrNKbs3UHdUEIlEoCgK9vb2aG5uhlKp1KoxozvcuHEDc+fOxfr167F8+XKDEhZAtaIaP358q9sXL16Mn3/+eUCnSOoCVlz6IQRB4MaNG4zQiMViTJ06FXFxcZgyZYpeM2nomkNfF7M7oq0ANIFAAGdnZzg4OHT5hElRFB49eoTi4mJER0cP6KtROgQtNzcXzc3N4HA4GiFouhaZ1NRUzJ49G5999hlWrlxpcMLC0nNYcenn0Jk0R44cwdGjR1FSUoLJkycjNjYWM2bMgLW1tc6ei94a6m81h5a2Kl0JQKMoCvn5+SgvL0d0dHSfhcj1FiRJaswoKRQK5j1rbGxk5o8cHR17vErOzMzEzJkzsWbNGqxevZoVlgGKwYhLQUEBPv/8c1y+fBkVFRVwdXXFyy+/jA8++EDjqqmoqAhvvfUWLl++DDMzMyxcuBCbN2/ud5Pd+oBuG6UdnB89eoSJEydizpw5mDVrVrenudWv4CMjI/v11lBzczOTtKneReXk5MTEXVMUhby8PIjF4gFnLtoW6sISHR3d6rtEv2cikYixolGfP9LmM5WdnY0ZM2Zg1apV+OCDD1hhGcAYjLicPXsWhw4dwosvvghfX19kZ2fjtddew6JFi7B582YAqu2giIgIODo64uuvv0ZVVRUWL16MZ599Ftu2bevjV2BYUBSF3NxcZkWTm5uLcePGITY2FrNmzepyJg19ohWJRIiKihpQV/BtBaA5OjqioaEBDQ0NGDZsmEEZRuqDzoSlJXSoF53lY2pqyjRRdNYWfvfuXcyYMQOvv/46PvvsM1ZYBjgGIy5tsWnTJuzYsQOPHj0CoDKSmzVrFoqLi5mp6IMHD2LJkiUQCoU63QIaSNBbPLTQZGRk4Omnn2YyaZydndttR83OzkZDQwOioqIG9ImW3gZ6+PAhZDIZzMzM4OzsPCCTI2lIkkROTg4jpNqu/ttqC1fv1lNvC8/Pz8e0adPwt7/9DV9++WW/dqNg6RoGLS4ffvghzp49i9u3bwMAPv74YyQmJiIzM5O5T01NDQQCAS5fvtxmZweLJuqZNAkJCfi///s/PPXUU0wmjZubGzgcDmpra3H9+nXY29sjMjJywG870luKzc3NiIiIYFyc2wtA6+9QFMVcOOiiK4y2oqGFRqlU4v79++Dz+Rg+fDjmz5+P5557Dl9//TUrLE8IBjv6/fDhQ2zbtg1ff/01c1tFRUUrLx87OzsYGxszXj8sHcPhcODt7Y3Vq1fjn//8J0pKSpCQkICEhASsWbMG0dHRmDp1Kv773//C19cXv//+u0E7BOgCOqpXoVBg2LBhMDIyYlYu6u269EUNLTQtr877C7oWFkDTiiYgIAANDQ1ITU3F3r17UVJSAjc3NwQGBkIkEvWrSG+W7qP3b8ann34KDofT4X/0yoSmrKwM06ZNw/z587Fs2TKNn7V11cj6+XQPDocDDw8PvPPOO0hOTkZxcTHmzJmDLVu2QCKRoLy8HN988w3y8/NhwAvcHqFUKpGeng6CINocGORyuXBwcEBwcDCeeeYZhIWFgcvlIjc3FykpKcjKykJlZSUIguijV6AdFEUxW2FdqbF0Bw6Hw/jocblcPPfcc1i+fDn2798PNzc3rFixQufPyWJ46H1bTCwWQywWd3gfLy8vxl69rKwM48ePR0xMDH7++WeNK0N2W0y/5OXlYcqUKZg2bRr+/e9/4+TJk4iPj8fly5cREBDAbJ21lQ3fH1EoFEhPTwePx0NERIRWE/3qEcVCoRBSqdTgA9BoYamvr0d0dLReHR4qKiowbdo0jBw5Env37mXe2/LycohEIoSFhentudtj+/bt2LRpE8rLyxESEoJvvvkGY8aM6fXjeFIwqJpLaWkpxo8fj+joaPz222+tvux0Qb+kpITJYz906BAWL17MFvR1wHfffYfKykp88cUXjHjQw3WJiYlISEjA+fPn4e3tzUQF6MusUt/QTs4mJiYICwvrkVUMHYCmPhdiaAFovSksQqEQM2bMQEREBH755ReD2FY9dOgQFi1ahO3bt2P06NHYtWsXfvrpJ+Tm5sLT07OvD29AYjDiUlZWhmeeeQaenp745ZdfNL7s9CQ43Yrs7OyMTZs2obq6GkuWLEFcXBzbitxL1NXVMZk0Z8+exaBBgxihiYyM7BdCI5PJkJqaCktLS72IY8sANBsbGzg7O+tkALE70G3ptbW1GDZsmF6FpaqqCjNnzoS/vz8OHDhgMCu4mJgYREVFYceOHcxtQUFBiIuLw5dfftmHRzZwMRhx+fnnn/HKK6+0+TP1QywqKsLy5ctbDVH2pYnjkwqdSRMfH4/Tp09DIBAwDs4jRowwyEya5uZmpKamwtbWFsHBwXoXQ/UAtJqaml4PQOtNYampqcHs2bPh4eGBw4cPG8SKDVCtUs3NzXH48GHMnTuXuf2dd95BRkYGUlJS+vDoBi4GIy4s/ZumpiaNTBpzc3Mm/MxQMmmampqQmpoKe3v7Pqkb0QOIlZWVqK6uhpmZGZycnODs7KyXADR1YYmOjtZrbHRdXR1iY2Nhb2+PY8eOGdTFXllZGdzc3PDHH39g1KhRzO3r16/H/v37ce/evT48uoFL33/jWQYE5ubmiIuLQ1xcHKRSKS5duoSEhAS8/PLL4PF4zIpmzJgxfbJVIpFIkJqaCmdnZ/j7+/dJQ4KxsTFcXV3h6uqqEYB269YtnQeg9aawNDQ0YN68ebC2tkZCQoJBCYs6bGpk78KuXFj0ikKhQHJyMuLj45lMmtmzZyM2Nhbjxo3rlRMRPXPh7u4OHx8fgzuhEATBzNIIhcIeB6BRFIW7d++ipqZG78IikUgwb948cLlcnDp1yiB92Nhtsb6BFReWXkOpVOLatWtM+FljYyNmzJiBuLg4TJw4US/F7rq6OqSlpcHLywve3t46f3xd09MANFpYqqurMWzYML0KS3NzM+bPnw+5XI4zZ84YdCRBTEwMoqOjsX37dua24OBgxMbGsgV9PcGKC0ufQGfS0H5n1dXVGpk0urgCrqmpQUZGBoYMGYLBgwfr4Kh7F/UANKFQCLlc3mEAWm8Ki0wmw4svvoja2lqcO3fO4J2y6VbknTt3YuTIkfjxxx+xe/du5OTk9MvPRn+AFZdusm7dOpw6dQoZGRkwNjZGbW1tq/uw8QBdgyRJ3L59mxGasrIyJpNm+vTp3ZpfqqqqQmZmJvz9/eHu7q6Ho+5dKIpCY2MjKisrNQLQ6IwVIyOjXhMWuVyORYsWoaysDBcvXuw3sc/bt2/Hxo0bUV5ejtDQUGzduhVjx47t68MasLDi0k0++eQT2NraoqSkBHv27GklLmw8QPcgSRKZmZmM0Dx69AiTJk3CnDlzMHPmzC4ZR4pEImRlZSEwMJBxzx5otAxAMzY2BkmSes/bUSgUWLJkCR49eoRLly7BwcFBb8/F0r9hxaWH/Pzzz1i1alUrcWHjAXqOeiZNQkIC7t69i/HjxzOZNPb29q2EprKyEtnZ2QgNDX0iDBJpE8qqqiqYmZmhoaGhzQA0XaBUKvHaa68hOzsbSUlJcHJy0tljsww82FZkPfHnn38iNDRU48p56tSpzHQ464PWORwOByEhIQgJCcHHH3/MZNLs3bsX77zzDsaMGYPY2FjMnj0bzs7O2LVrFxQKBV544QU4Ojr29eHrHTrIra6uDjExMTAzM4NcLmdWNA8ePICFhQUzS6NtaqQ6BEFg+fLlyMjIQHJyMissLJ3CioueYOMBdAuHw4G/vz/Wrl2LNWvW4PHjx4iPj8fBgwexevVqhIWFITc3F1u3bn0itmooisK9e/cgFos1EjONjY3h7u4Od3d3KBQKZpamoKAApqamzIpGmwA0kiSxcuVK3LhxA0lJSYyvHwtLRxi+EVQv0p14gI5g4wH0A4fDwZAhQ/Dee+/h+vXr+OCDD5Cbm4vo6GisWLECEydOxLfffouCgoIBGRVAC4tIJOowitnIyAiDBg1CeHg4xo0bBz8/P8hkMqSlpeHq1avIy8tDdXV1h+8RSZL45z//ieTkZFy8eBEeHh76elksAwx25aLGihUr8MILL3R4Hy8vry49louLC27evKlxW01NDRQKxRNRC+gtvv76a3z33Xe4cuUKhg0bhvLychw9ehQJCQn4+OOPERYWxkQF+Pr69nth76qwtITH4zGrFvUAtDt37gBoOwCNJEmsWbMGp0+fRnJycpc/+ywsAFvQ7zGdFfTZeAD9Qjszh4eHa9xOURTEYjEjNJcvX0ZgYCBiY2MRFxeHwMDAfic0FEXh/v37EAqFWglLZ49JxxPTszT79u3DpEmTcO/ePRw+fBjJycnw9/fXwStgeZJgxaWbFBUVobq6GsePH8emTZtw9epVAICvry8sLS3ZeAADgqIo1NTU4Pjx44iPj8eFCxfg7e2N2NhYzJ07FyEhIQYfFaAPYWnrOSoqKrB+/XqcOXMGlZWVmDBhAhYvXoxZs2bB1tZW58/JMnAx7G+UAfPxxx8jMjISn3zyCRobGxEZGYnIyEimJsPj8XDq1CmYmppi9OjRWLBgAeLi4rB58+Y+PvInDw6HA4FAgCVLluDEiROorKzEhx9+iPv372PChAmIiIjARx99hLS0NJAk2deH2wp1YYmOjtZbJgyHw4GLiws8PDwgk8lw+PBhPPPMM9iyZQucnJxw4cIFvTxvZ6xbtw6jRo2Cubl5uwJXVFSE2bNnw8LCAg4ODli5ciXkcnnvHiiLBuzKheWJprGxEadPn0Z8fDzOnDkDgUCAOXPmIC4uDsOHD+/zTBqKopCfn4+KigoMGzZMp3MrbT3Xt99+i82bN+PChQuIjo5mfvb48WM4ODj0iX8YO7DcP2HFhYXlfzQ1NeHcuXNISEjAyZMnYWFhwWTSjBw5stczaXpbWLZv347169fj3LlzGDFihN6eq7uwA8v9C3ZbjIXlf5ibm2Pu3Ln49ddfUV5ejp07d0IqlWLhwoXw9/fHypUrkZSUBIVCofdj6W1h2bNnD7744gucPHnSIIWlIzobWGbpG1hxYWFpA1NTU8yaNQt79+5FRUUFfv31V/B4PLz66qvw8fHBm2++ifPnz+tlX5+iKDx48AAVFRWIjo7Wu7D88ssv+PDDD5GYmIjRo0fr7bn0BTuwbJiw4vKEsH37dnh7e8PU1BTR0dFMdxtL5xgZGWHy5MnYtWsXSktLceTIEVhaWuKtt96Cl5cXXnvtNZw8eRJSqbTHz0ULS3l5OaKjo/UavkVRFA4cOID33nsPR48exbhx4/T2XC1hB5YHPuwQ5RPAoUOHsGrVKmzfvh2jR4/Grl27MH36dOTm5sLT07OvD69fwefzMW7cOIwbNw7fffcd/vzzTxw5cgT/+te/UF1djWnTpiEuLg6TJ0/WWhhoYSkrK8OwYcP0nuoYHx+PVatW4fDhw5g4caJen6sl7MDywIct6D8BxMTEICoqCjt27GBuCwoKQlxcHJvCpyNIksStW7eYqIDy8nJMmTKFyaTprMuKoig8fPgQpaWlvSIsiYmJWLZsGQ4cOIA5c+bo9bl0BTuw3L9gt8UGOHK5HKmpqZgyZYrG7VOmTMH169f76KgGHlwuFzExMdi0aRPu37+Pq1evIjg4GBs2bICXlxeef/55/Oc//0FtbW0rL6/eFpZTp05h2bJl+OWXX/qFsBQVFSEjIwNFRUUgCAIZGRnIyMhAY2MjANVnOTg4GIsWLUJ6ejouXbqE1atX47XXXmOFpQ9hxWWAIxaLQRBEq+0BZ2dnttipJ7hcLqKiorBu3Trk5ubi1q1biI6OxrZt2+Dt7Y1nn30W+/fvR1VVFQiCwNq1a3Ht2rVeEZYLFy7glVdewZ49ezBv3jy9PpeuYAeW+yfsttgAp6ysDG5ubrh+/TpGjhzJ3L5u3Tr8+uuvyMvL68Oje7KgJ+3j4+ORkJCAjIwMhIWF4fHjx/j1118xfvx4vRagk5KS8Pzzz2P79u1YtGgRW+xm0SvsymWA4+DgAB6P12qVIhQK2WJnL8PhcBAQEIC1a9fi1q1bWL58OfLz8xEcHIy4uDhMnz4dO3bsQGlpqc6jAq5evYoXXngB3377LSssLL0CKy4DHGNjY0RHR7fyhbpw4QJGjRrVR0fF8vnnn+PgwYO4efMmrl27hkePHmHu3LlITExEUFAQJk2ahO+++w6FhYU9Fpo///wT8+fPx4YNG/Dqq6+ywsLSK7DbYk8Ahw4dwqJFi7Bz506MHDkSP/74I3bv3o2cnBwMHjy4rw/vieTgwYMYOnQoQkJCNG6nKAplZWVMVMDVq1cRHh7OZNL4+PhoJQ63b9/GnDlz8Nlnn2HlypWssLD0Gqy4PCFs374dGzduRHl5OUJDQ7F161aMHTu2rw+LpQMoioJIJMKxY8cQHx+PpKQkBAUFMZk0AQEBHYpFRkYGZs6cibVr12L16tWssLD0Kqy4sLD0A+hMmsTERMTHx+PixYsYMmQIk0kTHByskUmTnZ2NGTNm4B//+AfWrl3LCgtLr8OKCwtLP6Surg4nTpxAQkICzp49Czc3N8TFxSE2NhZmZmaYPn063njjDXz22WessLD0Cay4sLD0cxoaGnD69GkkJCTg1KlTkEqlWL58Ob755huDT9hkGbiw4sLCMoBoamrCN998g/fff7/Pg85YnmxYcWFhYWFh0Tnsmpmlz7ly5Qpmz54NV1dXcDgcHDt2TOPnFEXh008/haurK8zMzDBu3Djk5OT0zcGydImCggIsXboU3t7eMDMzg4+PDz755JNW+TdFRUWYPXs2LCws4ODggJUrV+olI4el92HFhaXPkUgkCA8Px/fff9/mzzdu3IgtW7bg+++/x61bt+Di4oLJkyejoaGhl4+Upavk5eWBJEns2rULOTk52Lp1K3bu3Im1a9cy9yEIAjNnzoREIsG1a9dw8OBBxMfH45///GcfHjmLzqBYWAwIANTRo0eZf5MkSbm4uFBfffUVc5tUKqVsbGyonTt39sERsnSXjRs3Ut7e3sy/T58+TXG5XKq0tJS57cCBA5SJiQlVV1fXF4fIokPYlQuLQfP48WNUVFRoRAaYmJjgmWeeYSMD+hl1dXUQCATMv//880+EhobC1dWVuW3q1KmQyWRITU3ti0Nk0SGsuLAYNLThJhsZ0L95+PAhtm3bhjfeeIO5raKiotXf1c7ODsbGxuzfdgDAigtLv6DlICDF5qP3CZ9++mmHufccDofJWaEpKyvDtGnTMH/+fCxbtkzjZ239Ddm/7cCA39cHwMLSES4uLgBUV7l0hC3ARgb0FStWrMALL7zQ4X28vLyY/y8rK8P48eMZw1R1XFxccPPmTY3bampqoFAo2L/tAIAVFxaDxtvbGy4uLrhw4QIiIyMBqKKbU1JSsGHDhj4+uicPBwcHODg4dOm+paWlGD9+PKKjo7Fv375WbgEjR47EunXrUF5ezlw4nD9/HiYmJoiOjtb5sbP0Lqy4sPQ5jY2NePDgAfPvx48fIyMjAwKBAJ6enli1ahXWr18PPz8/+Pn5Yf369TA3N8fChQv78KhZOqKsrAzjxo2Dp6cnNm/eDJFIxPyMXo1OmTIFwcHBWLRoETZt2oTq6mqsXr0ar732Gqytrfvq0Fl0RV+3q7GwJCUlUQBa/bd48WKKolTtyJ988gnl4uJCmZiYUGPHjqWysrL69qBZOmTfvn1t/k1bnnIKCwupmTNnUmZmZpRAIKBWrFhBSaXSPjpqFl3C2r+wsLCwsOgctluMhYWFhUXnsOLCwsLCwqJzWHFhYWFhYdE5rLiwsLCwsOgcVlxYWFhYWHQOKy4sLN3kyy+/xPDhw2FlZQUnJyfExcXh3r17Gveh2CwalicUVlxYWLpJSkoK3nrrLdy4cQMXLlyAUqnElClTIJFImPuwWTQsTyrsnAsLi44QiURwcnJCSkoKxo4dC4qi4OrqilWrVuH9998HAMhkMjg7O2PDhg14/fXX+/iIWVj0B7tyYWHREXV1dQDAZJawWTQsTzKsuLCw6ACKovDuu+/i6aefRmhoKAA2i4blyYY1rmRh0QErVqzAnTt3cO3atVY/Y7NoWJ5E2JULC0sPefvtt3H8+HEkJSXB3d2duV09i0YdNouG5UmAFRcWlm5CURRWrFiBhIQEXL58Gd7e3ho/V8+ioaGzaEaNGtXbh8vC0quw22IsLN3krbfewu+//47ExERYWVkxKxQbGxuYmZmBw+GwWTQsTyxsKzILSzdpr26yb98+LFmyBIBqdfPZZ59h165dqKmpQUxMDH744Qem6M/CMlBhxYWFhYWFReewNRcWFhYWFp3DigsLCwsLi85hxYWFhYWFReew4sLCwsLConNYcWFhYWFh0TmsuLCwsLCw6BxWXFhYWFhYdA4rLiwsLCwsOocVFxYWFhYWncOKCwsLCwuLzmHFhYWFhYVF5/x/1DmbK3A1N0sAAAAASUVORK5CYII=\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.152427pt\" version=\"1.1\" viewBox=\"0 0 293.288722 285.152427\" width=\"293.288722pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:26:20.670942</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.152427 \nL 293.288722 285.152427 \nL 293.288722 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 37.072619 210.891238 \nL 124.43566 136.728027 \nL 123.605826 30.249318 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 67.279821 220.75691 \nL 153.015685 145.035112 \nL 153.41141 37.804165 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 98.153087 230.840118 \nL 182.173192 153.510049 \nL 183.845523 45.518326 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 129.714694 241.148139 \nL 211.925865 162.157976 \nL 214.928257 53.396893 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 161.98792 251.688574 \nL 242.292112 170.984245 \nL 246.680571 61.445179 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 37.833388 210.245415 \nL 35.547817 212.185655 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(18.991944 234.205402)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 68.027082 220.09693 \nL 65.782058 222.079732 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(49.23029 244.280178)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 98.886056 230.165512 \nL 96.683934 232.192291 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(87.509015 254.577945)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 130.432545 240.458413 \nL 128.275807 242.53065 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(115.927151 265.106191)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 162.689782 250.983216 \nL 160.581048 253.102456 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(148.241777 275.87274)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 39.07164 82.445219 \nL 43.662294 193.976486 \nL 191.62022 241.283551 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 53.897696 71.625839 \nL 57.786234 182.13752 \nL 204.4095 228.158603 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 68.316152 61.103906 \nL 71.538442 170.610146 \nL 216.844736 215.396992 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 82.34359 50.867321 \nL 84.933402 159.382225 \nL 228.940428 202.983836 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 95.995703 40.90463 \nL 97.984857 148.442237 \nL 240.710296 190.905057 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.287356 31.204988 \nL 110.705853 137.779246 \nL 252.167329 179.147322 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 190.374015 240.885098 \nL 194.115819 242.081477 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(193.823141 262.163168)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 203.175407 227.771255 \nL 206.880802 228.934278 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(206.440761 248.84403)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 215.622565 215.02029 \nL 219.29212 216.151334 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(226.079981 235.893817)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 227.729993 202.617348 \nL 231.36427 203.717713 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(234.831685 223.297411)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 239.511412 190.548372 \nL 243.110967 191.61929 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(246.443019 211.040507)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 250.979814 178.800053 \nL 254.545197 179.84269 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(257.745562 199.109562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.149177 153.99818 \nL 114.938049 113.676244 \nL 26.256405 186.165691 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.028997 134.785178 \nL 114.724272 95.085634 \nL 25.308277 166.4772 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.922587 115.27144 \nL 114.50731 76.218075 \nL 24.344736 146.468647 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.830276 95.449848 \nL 114.287092 57.067332 \nL 23.365403 126.132164 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.752397 75.313061 \nL 114.063543 37.626982 \nL 22.369887 105.459622 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.955156 153.659633 \nL 259.540085 154.676088 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.188335 159.032937)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 256.825352 134.451734 \nL 260.439195 135.452873 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.207937 139.858633)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 257.709164 114.943301 \nL 261.35239 115.928517 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.243451 120.385121)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 258.606914 95.127224 \nL 262.280003 96.095888 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.29525 100.605342)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 259.518933 74.99617 \nL 263.222379 75.947628 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 50 -->\n     <g transform=\"translate(273.363722 80.512012)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_21\">\n    <path clip-path=\"url(#p4843e05dfb)\" d=\"M 143.53689 190.668891 \nL 143.728613 189.882873 \nL 144.196799 189.297395 \nL 144.917652 188.803073 \nL 146.49583 188.070397 \nL 160.425526 182.382307 \nL 165.251778 180.078576 \nL 171.162848 176.981487 \nL 178.327159 172.806964 \nL 182.422278 170.205448 \nL 186.871725 167.193101 \nL 191.672896 163.715023 \nL 196.80853 159.716145 \nL 202.241047 155.145587 \nL 207.905626 149.963344 \nL 213.702122 144.149916 \nL 219.486308 137.719407 \nL 225.061393 130.736208 \nL 230.171651 123.334469 \nL 234.501039 115.737909 \nL 237.680845 108.275088 \nL 239.311251 101.382061 \nL 239.001239 95.581702 \nL 236.428108 91.429003 \nL 231.410628 89.418116 \nL 223.979325 89.862529 \nL 214.417368 92.781805 \nL 203.245517 97.844609 \nL 191.141454 104.409168 \nL 155.774817 125.21276 \nL 145.748279 130.508095 \nL 136.881674 134.554412 \nL 129.147109 137.391357 \nL 122.457465 139.159191 \nL 116.704248 140.03646 \nL 111.780409 140.200414 \nL 107.591494 139.807667 \nL 104.059353 138.988574 \nL 101.121745 137.849113 \nL 98.730008 136.475806 \nL 96.845971 134.941133 \nL 95.438731 133.308178 \nL 94.481627 131.633977 \nL 93.949553 129.971511 \nL 93.816773 128.370504 \nL 94.055261 126.87726 \nL 94.633664 125.533794 \nL 95.516872 124.376633 \nL 96.666192 123.435534 \nL 98.040035 122.732405 \nL 99.594974 122.280631 \nL 101.287054 122.084914 \nL 103.073172 122.141659 \nL 104.912378 122.439905 \nL 106.76699 122.962591 \nL 108.603426 123.688064 \nL 110.392743 124.591686 \nL 112.110862 125.647336 \nL 113.73853 126.828739 \nL 115.261074 128.110535 \nL 116.667987 129.46908 \nL 117.952431 130.882969 \nL 119.110678 132.333321 \nL 121.04591 135.280875 \nL 122.485635 138.211079 \nL 123.459664 141.057456 \nL 124.004441 143.779551 \nL 124.1553 146.354929 \nL 123.941666 148.772403 \nL 123.38444 151.026713 \nL 122.494937 153.114409 \nL 121.27489 155.030537 \nL 119.717233 156.765749 \nL 117.807539 158.303505 \nL 115.526257 159.617054 \nL 112.852002 160.665996 \nL 111.361482 161.07393 \nL 109.766442 161.392392 \nL 108.066244 161.610721 \nL 106.261514 161.716668 \nL 104.35455 161.696316 \nL 102.349802 161.534052 \nL 100.254426 161.212614 \nL 98.078901 160.713246 \nL 95.8377 160.016013 \nL 93.549984 159.100305 \nL 91.240292 157.945604 \nL 88.939159 156.53254 \nL 86.683563 154.844304 \nL 84.51713 152.868435 \nL 82.489908 150.598956 \nL 80.657624 148.038774 \nL 79.080243 145.202227 \nL 77.819735 142.11746 \nL 76.937019 138.828321 \nL 76.488156 135.395323 \nL 76.520029 131.8952 \nL 77.065917 128.418674 \nL 78.141496 125.066272 \nL 79.741903 121.942266 \nL 81.84042 119.147269 \nL 84.389178 116.770328 \nL 87.321946 114.881691 \nL 90.558738 113.527295 \nL 94.011592 112.725891 \nL 97.590723 112.469166 \nL 101.210241 112.724686 \nL 104.792779 113.441007 \nL 108.272628 114.553924 \nL 111.597345 115.992884 \nL 114.72799 117.68674 \nL 117.6383 119.568221 \nL 120.3132 121.577021 \nL 122.746962 123.661448 \nL 124.941298 125.778965 \nL 126.903553 127.895899 \nL 128.645105 129.986576 \nL 130.18002 132.032238 \nL 132.693297 135.940929 \nL 134.573652 139.566702 \nL 135.945985 142.898738 \nL 136.920303 145.950004 \nL 137.58807 148.74447 \nL 138.022011 151.309771 \nL 138.352043 154.787439 \nL 138.405899 157.893469 \nL 138.255934 160.696213 \nL 137.933957 163.250429 \nL 137.441817 165.600067 \nL 136.757344 167.781271 \nL 135.83628 169.824714 \nL 135.058412 171.123688 \nL 134.119133 172.380007 \nL 132.985394 173.599215 \nL 131.616693 174.785014 \nL 129.963769 175.938148 \nL 127.967159 177.054552 \nL 125.555783 178.122405 \nL 122.645855 179.117523 \nL 119.140749 179.996301 \nL 114.932974 180.685107 \nL 112.530397 180.92337 \nL 109.910307 181.064841 \nL 107.06019 181.084001 \nL 103.969636 180.949455 \nL 100.631625 180.622953 \nL 97.04422 180.058423 \nL 93.212766 179.201107 \nL 89.152659 177.987029 \nL 84.89273 176.343007 \nL 80.479236 174.187675 \nL 75.980298 171.434013 \nL 71.490444 167.994059 \nL 67.134601 163.786529 \nL 63.070516 158.747965 \nL 59.488164 152.847685 \nL 56.604318 146.105858 \nL 54.650552 138.612792 \nL 53.853483 130.545441 \nL 54.407826 122.17561 \nL 56.445197 113.863244 \nL 60.004814 106.029843 \nL 65.014 99.111575 \nL 71.286073 93.498642 \nL 78.539233 89.474625 \nL 86.433497 87.172321 \nL 94.616657 86.559206 \nL 102.767386 87.455862 \nL 110.62573 89.580072 \nL 118.006692 92.601803 \nL 124.798544 96.194143 \nL 130.951123 100.069931 \nL 136.460039 104.000952 \nL 141.351305 107.822049 \nL 145.668752 111.425164 \nL 152.795043 117.764157 \nL 168.388859 132.177029 \nL 170.523929 133.851564 \nL 172.329405 135.037419 \nL 173.91135 135.825635 \nL 175.342171 136.285931 \nL 176.66697 136.472954 \nL 177.908748 136.431556 \nL 179.072675 136.201014 \nL 180.149771 135.818335 \nL 181.55726 135.040611 \nL 182.629039 134.136625 \nL 183.261388 133.246774 \nL 183.395914 132.730436 \nL 183.283388 132.319282 \nL 182.922855 132.043276 \nL 182.327755 131.922895 \nL 181.525945 131.967476 \nL 180.027147 132.336073 \nL 178.329661 133.01961 \nL 176.622496 133.934492 \nL 175.080417 134.983327 \nL 173.843018 136.071389 \nL 173.006367 137.11484 \nL 172.699582 137.749792 \nL 172.602947 138.314007 \nL 172.717835 138.790187 \nL 173.040701 139.162237 \nL 173.563643 139.41522 \nL 174.274601 139.535556 \nL 175.157176 139.511513 \nL 176.754819 139.185783 \nL 178.593103 138.501888 \nL 180.541 137.475776 \nL 182.429513 136.164877 \nL 184.056462 134.677396 \nL 184.888274 133.664605 \nL 185.445734 132.700679 \nL 185.67741 131.846046 \nL 185.548335 131.158488 \nL 185.045845 130.686531 \nL 184.183377 130.463332 \nL 183.001036 130.502497 \nL 181.562461 130.796967 \nL 179.948359 131.321247 \nL 177.393614 132.451177 \nL 174.937363 133.853106 \nL 172.821076 135.375385 \nL 171.211087 136.892724 \nL 170.467451 137.852964 \nL 170.003837 138.744599 \nL 169.824182 139.547009 \nL 169.926243 140.240794 \nL 170.303469 140.80692 \nL 170.946132 141.226278 \nL 171.841724 141.479699 \nL 172.97458 141.548389 \nL 174.324829 141.414798 \nL 175.866731 141.064013 \nL 177.566542 140.485725 \nL 179.380145 139.676779 \nL 181.250769 138.644332 \nL 183.107334 137.40938 \nL 184.864176 136.010129 \nL 186.422947 134.504446 \nL 187.677638 132.970181 \nL 188.523202 131.502047 \nL 188.867574 130.204158 \nL 188.830036 129.651308 \nL 188.645658 129.178156 \nL 188.312701 128.79462 \nL 187.832546 128.508648 \nL 187.209821 128.32585 \nL 186.452373 128.249269 \nL 184.579605 128.413532 \nL 182.331318 128.973795 \nL 179.85184 129.86894 \nL 177.29362 131.018173 \nL 174.799143 132.336303 \nL 172.487751 133.745974 \nL 170.449062 135.184492 \nL 168.742501 136.605155 \nL 167.401147 137.974781 \nL 166.437749 139.269511 \nL 165.851163 140.47058 \nL 165.632061 141.56088 \nL 165.767375 142.522661 \nL 166.243291 143.336221 \nL 167.046881 143.97929 \nL 168.166494 144.426969 \nL 169.591023 144.652032 \nL 171.308152 144.625634 \nL 173.301601 144.318601 \nL 175.547386 143.703464 \nL 178.009122 142.757684 \nL 180.632585 141.468329 \nL 183.34003 139.838427 \nL 186.025215 137.894886 \nL 188.550793 135.697045 \nL 190.750365 133.34392 \nL 192.437851 130.976869 \nL 193.030446 129.842614 \nL 193.426243 128.773489 \nL 193.606336 127.794356 \nL 193.555601 126.92933 \nL 193.263758 126.200602 \nL 192.72626 125.627194 \nL 191.944975 125.223821 \nL 190.928535 124.999929 \nL 189.692284 124.959081 \nL 188.257832 125.098737 \nL 186.652174 125.410495 \nL 183.054813 126.491773 \nL 179.173797 128.052402 \nL 175.279461 129.918477 \nL 171.600548 131.931337 \nL 168.303245 133.971114 \nL 165.488086 135.962135 \nL 163.199399 137.86527 \nL 161.440458 139.664955 \nL 160.189024 141.35684 \nL 159.410387 142.938907 \nL 159.066924 144.406365 \nL 159.124378 145.749376 \nL 159.55546 146.952479 \nL 160.34147 147.994734 \nL 161.472506 148.849973 \nL 162.946626 149.486916 \nL 164.768158 149.869074 \nL 166.945122 149.954606 \nL 169.485579 149.69643 \nL 172.39255 149.043099 \nL 175.65704 147.941148 \nL 179.248731 146.339972 \nL 183.104108 144.200461 \nL 187.112475 141.508704 \nL 189.122965 139.962943 \nL 191.101646 138.295394 \nL 193.015626 136.520796 \nL 194.827361 134.65971 \nL 196.495037 132.739074 \nL 197.973366 130.792511 \nL 199.214855 128.860205 \nL 200.171575 126.988181 \nL 200.797465 125.226905 \nL 201.051058 123.629125 \nL 200.898513 122.246942 \nL 200.316652 121.128299 \nL 199.295695 120.313203 \nL 197.841283 119.830104 \nL 195.975438 119.692978 \nL 193.736192 119.89964 \nL 191.175765 120.431662 \nL 188.357473 121.256019 \nL 185.351665 122.328314 \nL 182.231223 123.597053 \nL 175.924971 126.510351 \nL 169.923885 129.609265 \nL 164.559648 132.624241 \nL 160.001547 135.422717 \nL 156.288509 137.97749 \nL 153.374447 140.318947 \nL 151.16884 142.495789 \nL 149.565919 144.552031 \nL 148.462714 146.517827 \nL 147.768696 148.408679 \nL 147.409884 150.228329 \nL 147.329673 151.972493 \nL 147.487936 153.632009 \nL 147.859407 155.19499 \nL 148.431924 156.647922 \nL 149.20487 157.975956 \nL 150.187962 159.162489 \nL 151.400409 160.188281 \nL 152.870408 161.030104 \nL 154.63486 161.659003 \nL 156.739102 162.038147 \nL 159.236387 162.120225 \nL 162.186614 161.844492 \nL 165.653593 161.13362 \nL 169.699722 159.890956 \nL 174.376404 157.999408 \nL 176.96046 156.768696 \nL 179.707875 155.324356 \nL 182.613243 153.648628 \nL 185.665603 151.72479 \nL 188.846959 149.538443 \nL 192.130585 147.079233 \nL 195.479205 144.343072 \nL 198.843151 141.334881 \nL 202.158658 138.071835 \nL 205.346612 134.586946 \nL 208.312086 130.93268 \nL 210.945178 127.184104 \nL 213.123698 123.440753 \nL 214.71824 119.826292 \nL 215.600046 116.484749 \nL 215.651654 113.572439 \nL 214.779709 111.245041 \nL 212.928554 109.640532 \nL 210.092254 108.859994 \nL 206.322267 108.949943 \nL 201.72814 109.890656 \nL 196.469822 111.59449 \nL 190.742179 113.915961 \nL 184.754466 116.672142 \nL 172.783522 122.724501 \nL 152.510544 133.223654 \nL 139.115909 139.731073 \nL 132.68872 142.98299 \nL 129.557278 144.814043 \nL 127.036266 146.526632 \nL 123.935837 148.986643 \nL 119.308955 152.804705 \nL 117.332685 154.162314 \nL 115.172483 155.366368 \nL 112.776578 156.369156 \nL 110.10845 157.114005 \nL 107.148635 157.533008 \nL 105.558965 157.595512 \nL 103.899188 157.545046 \nL 102.174129 157.369332 \nL 100.391024 157.055378 \nL 98.559887 156.589683 \nL 96.693882 155.958546 \nL 94.809692 155.148532 \nL 92.927841 154.14707 \nL 91.07294 152.943263 \nL 89.273784 151.528856 \nL 87.563247 149.899393 \nL 85.977915 148.055528 \nL 84.557373 146.004391 \nL 83.343103 143.760943 \nL 82.376941 141.349131 \nL 81.699146 138.802683 \nL 81.346103 136.165309 \nL 81.347855 133.490125 \nL 81.725625 130.838153 \nL 82.489632 128.275812 \nL 83.637488 125.871531 \nL 85.15342 123.691738 \nL 87.008507 121.796555 \nL 89.162006 120.235786 \nL 91.563625 119.045674 \nL 94.156525 118.246857 \nL 96.880684 117.843731 \nL 99.676271 117.825305 \nL 102.486629 118.167299 \nL 105.260652 118.835107 \nL 107.954413 119.78719 \nL 110.532016 120.978458 \nL 112.965763 122.363293 \nL 115.23579 123.897949 \nL 117.329316 125.542295 \nL 119.239675 127.26087 \nL 120.965263 129.023377 \nL 122.508487 130.804697 \nL 123.874786 132.584612 \nL 125.071769 134.347318 \nL 126.994724 137.776467 \nL 128.356468 141.031843 \nL 129.235647 144.087873 \nL 129.702002 146.940195 \nL 129.81209 149.596186 \nL 129.607719 152.068701 \nL 129.11595 154.372085 \nL 128.349887 156.519566 \nL 127.309772 158.521485 \nL 125.98411 160.383807 \nL 124.350733 162.10657 \nL 122.377884 163.681962 \nL 120.025528 165.091667 \nL 117.247307 166.303158 \nL 113.993804 167.26465 \nL 112.173844 167.6286 \nL 110.218112 167.898473 \nL 108.122658 168.059187 \nL 105.885153 168.092978 \nL 103.505516 167.979153 \nL 100.9867 167.693884 \nL 98.335625 167.210105 \nL 95.564273 166.497589 \nL 92.690938 165.52327 \nL 89.741598 164.251925 \nL 86.75133 162.647374 \nL 83.765677 160.674293 \nL 80.841754 158.30082 \nL 78.048867 155.502044 \nL 75.468332 152.264356 \nL 73.19207 148.590571 \nL 71.319677 144.505395 \nL 69.953607 140.060613 \nL 69.19244 135.33895 \nL 69.122492 130.455479 \nL 69.808529 125.555241 \nL 71.284814 120.80626 \nL 73.548095 116.38772 \nL 76.554164 112.474312 \nL 80.219112 109.218878 \nL 84.425614 106.736388 \nL 89.033409 105.092361 \nL 93.892163 104.298029 \nL 98.85446 104.313064 \nL 103.786807 105.054787 \nL 108.577259 106.411561 \nL 113.1392 108.257434 \nL 117.411713 110.465397 \nL 121.357397 112.9176 \nL 124.958739 115.511813 \nL 128.213953 118.164408 \nL 131.132939 120.810575 \nL 133.733735 123.402716 \nL 136.039624 125.9079 \nL 139.873121 130.581883 \nL 142.852689 134.757872 \nL 145.188537 138.439113 \nL 148.64478 144.474568 \nL 150.726943 148.015256 \nL 152.073276 149.973306 \nL 153.482065 151.635384 \nL 155.021933 153.011561 \nL 156.753898 154.100782 \nL 158.73442 154.890519 \nL 161.017334 155.356221 \nL 163.654407 155.460548 \nL 166.694129 155.152693 \nL 170.17815 154.36818 \nL 174.134439 153.030155 \nL 176.292032 152.127133 \nL 178.566058 151.053684 \nL 180.950247 149.799517 \nL 183.434309 148.355509 \nL 186.003075 146.714549 \nL 188.635533 144.8726 \nL 191.303871 142.830008 \nL 193.972531 140.593042 \nL 196.597424 138.175609 \nL 199.125431 135.601081 \nL 201.494366 132.904061 \nL 203.633621 130.131806 \nL 205.465762 127.345022 \nL 206.909224 124.617592 \nL 207.882314 122.03481 \nL 208.308492 119.689705 \nL 208.122678 117.677323 \nL 207.278091 116.087113 \nL 205.752738 114.994034 \nL 203.554515 114.449632 \nL 200.723771 114.474657 \nL 197.332484 115.054871 \nL 193.479714 116.141339 \nL 189.283798 117.655616 \nL 184.872406 119.499031 \nL 180.37214 121.564263 \nL 171.55299 125.955714 \nL 159.946398 132.116874 \nL 151.07835 137.086974 \nL 146.649028 139.805427 \nL 143.213644 142.205979 \nL 140.57304 144.412204 \nL 138.536421 146.5105 \nL 136.935982 148.550991 \nL 135.630982 150.556578 \nL 133.46892 154.476165 \nL 131.363307 158.230952 \nL 130.175639 160.024454 \nL 128.828046 161.750099 \nL 127.270262 163.398049 \nL 125.450703 164.955857 \nL 123.314664 166.405967 \nL 120.803356 167.722252 \nL 117.854128 168.865303 \nL 114.402519 169.776073 \nL 112.468814 170.118533 \nL 110.387197 170.367585 \nL 108.152043 170.506299 \nL 105.75947 170.514631 \nL 103.208058 170.369063 \nL 100.499747 170.0423 \nL 97.640945 169.503065 \nL 94.643836 168.716094 \nL 91.527911 167.642423 \nL 88.321663 166.240117 \nL 85.064397 164.465614 \nL 81.807986 162.275872 \nL 78.618366 159.631556 \nL 75.576419 156.50135 \nL 72.777858 152.867517 \nL 70.331526 148.732452 \nL 68.355682 144.125803 \nL 66.971748 139.111189 \nL 66.295547 133.791154 \nL 66.426342 128.308642 \nL 67.434836 122.843249 \nL 69.351956 117.6011 \nL 72.160662 112.798303 \nL 75.792956 108.639685 \nL 80.133522 105.296179 \nL 85.029898 102.885275 \nL 90.307563 101.458755 \nL 95.787062 101.000302 \nL 101.299941 101.433075 \nL 106.700925 102.634947 \nL 111.874994 104.457456 \nL 116.73945 106.744488 \nL 121.24201 109.34755 \nL 125.356447 112.136083 \nL 129.077186 115.002738 \nL 132.413926 117.86448 \nL 135.386895 120.660858 \nL 138.023013 123.350711 \nL 142.408947 128.319588 \nL 145.82783 132.68644 \nL 149.670438 138.14627 \nL 153.436517 143.675935 \nL 155.083611 145.809707 \nL 156.727298 147.573256 \nL 158.456626 148.98764 \nL 160.345371 150.060401 \nL 162.45568 150.785916 \nL 164.840254 151.145792 \nL 167.542734 151.10948 \nL 170.595917 150.635393 \nL 174.017302 149.673224 \nL 177.801425 148.16852 \nL 181.908512 146.07092 \nL 184.05772 144.788429 \nL 186.249446 143.34798 \nL 188.461959 141.75175 \nL 190.668262 140.00606 \nL 192.83569 138.122415 \nL 194.925714 136.118547 \nL 196.894024 134.019379 \nL 198.691044 131.857786 \nL 200.262951 129.674974 \nL 201.55334 127.52026 \nL 202.505559 125.450088 \nL 203.065761 123.526061 \nL 203.186495 121.811911 \nL 202.830636 120.369477 \nL 201.975263 119.253979 \nL 200.614973 118.508999 \nL 198.764104 118.161913 \nL 196.457363 118.220594 \nL 193.748587 118.671965 \nL 190.707583 119.482947 \nL 187.415404 120.603754 \nL 183.95867 121.973049 \nL 176.891239 125.191189 \nL 170.105809 128.643857 \nL 164.017896 131.980179 \nL 158.838617 135.029858 \nL 154.61417 137.76411 \nL 151.284722 140.23081 \nL 148.736554 142.500876 \nL 146.838505 144.637573 \nL 145.463595 146.685043 \nL 144.499924 148.667994 \nL 143.854795 150.596161 \nL 143.454966 152.469571 \nL 143.244954 154.283024 \nL 143.201456 156.874585 \nL 143.413052 159.289567 \nL 143.843123 161.506407 \nL 144.491137 163.506802 \nL 145.057351 164.711245 \nL 145.747909 165.805053 \nL 146.583445 166.780114 \nL 147.590422 167.625673 \nL 148.8018 168.327192 \nL 150.257892 168.864907 \nL 152.007366 169.211976 \nL 154.108236 169.332052 \nL 156.628644 169.176163 \nL 159.647001 168.678746 \nL 163.250763 167.752864 \nL 167.532596 166.284914 \nL 172.581867 164.129851 \nL 175.417514 162.74016 \nL 178.46825 161.109417 \nL 181.734983 159.21115 \nL 185.212823 157.01843 \nL 188.88908 154.505224 \nL 192.740859 151.64836 \nL 196.732272 148.4303 \nL 200.811328 144.842854 \nL 204.906698 140.89194 \nL 208.924666 136.60334 \nL 212.746809 132.029227 \nL 216.229161 127.254837 \nL 219.203885 122.404149 \nL 221.484647 117.642853 \nL 222.876841 113.176336 \nL 223.193423 109.240109 \nL 222.276072 106.080649 \nL 220.019699 103.926439 \nL 216.396222 102.952004 \nL 211.471698 103.241925 \nL 205.410474 104.764874 \nL 198.462313 107.36776 \nL 190.933102 110.795385 \nL 183.145478 114.73242 \nL 154.533984 129.895795 \nL 148.742802 132.70022 \nL 143.579855 135.025694 \nL 139.017923 136.91551 \nL 131.506076 139.643148 \nL 125.770634 141.39941 \nL 108.354478 146.159822 \nL 105.841037 146.541991 \nL 104.183435 146.57566 \nL 102.53205 146.39694 \nL 100.902425 145.980743 \nL 99.327671 145.309859 \nL 97.856046 144.378307 \nL 96.547696 143.19505 \nL 95.470029 141.787623 \nL 94.691398 140.20481 \nL 94.273244 138.517242 \nL 94.261405 136.814784 \nL 94.415867 135.989805 \nL 94.677975 135.200082 \nL 95.045813 134.45879 \nL 95.515449 133.778513 \nL 96.080997 133.170847 \nL 96.734721 132.646038 \nL 97.46725 132.212671 \nL 98.267827 131.877422 \nL 99.124627 131.644892 \nL 100.956231 131.495727 \nL 102.858847 131.760201 \nL 104.733141 132.404521 \nL 106.491641 133.373983 \nL 108.063486 134.602052 \nL 109.396018 136.018653 \nL 110.453806 137.556395 \nL 111.216079 139.154325 \nL 111.673475 140.759457 \nL 111.824818 142.326651 \nL 111.67437 143.8174 \nL 111.229865 145.198087 \nL 110.501374 146.438078 \nL 109.501056 147.507851 \nL 108.243768 148.377429 \nL 106.74847 149.015196 \nL 105.040373 149.387344 \nL 103.1537 149.458138 \nL 101.134839 149.191397 \nL 99.045489 148.553516 \nL 96.965148 147.518409 \nL 94.991971 146.074545 \nL 94.080933 145.201841 \nL 93.240781 144.233707 \nL 92.487473 143.176787 \nL 91.836979 142.040292 \nL 91.304819 140.83612 \nL 90.905527 139.578934 \nL 90.652091 138.286048 \nL 90.555348 136.977206 \nL 90.623427 135.674152 \nL 90.861231 134.400067 \nL 91.270033 133.178832 \nL 91.847226 132.034175 \nL 92.586225 130.988769 \nL 93.476586 130.063316 \nL 94.504304 129.275696 \nL 95.652304 128.640266 \nL 96.901064 128.167341 \nL 98.229353 127.862912 \nL 99.615001 127.728616 \nL 101.035677 127.761931 \nL 102.469599 127.956593 \nL 103.896147 128.303151 \nL 105.296365 128.789642 \nL 106.653299 129.402282 \nL 107.952228 130.12617 \nL 109.180748 130.94591 \nL 111.388309 132.812085 \nL 113.220273 134.885918 \nL 114.649449 137.068598 \nL 115.669508 139.280575 \nL 116.287458 141.460692 \nL 116.51729 143.563042 \nL 116.375237 145.553005 \nL 115.876622 147.403185 \nL 115.034221 149.08968 \nL 113.857904 150.58877 \nL 112.355446 151.874018 \nL 110.534425 152.913741 \nL 108.405257 153.668901 \nL 105.98545 154.091566 \nL 103.305145 154.124434 \nL 101.881831 153.974463 \nL 100.413915 153.702014 \nL 98.911891 153.298281 \nL 97.388428 152.754665 \nL 95.858589 152.063151 \nL 94.339968 151.216781 \nL 92.852786 150.21022 \nL 91.419838 149.040429 \nL 90.066328 147.707393 \nL 88.819509 146.214928 \nL 87.708106 144.571449 \nL 86.761531 142.790699 \nL 86.008851 140.892298 \nL 85.47755 138.902061 \nL 85.192133 136.851927 \nL 85.172662 134.779484 \nL 85.433314 132.726946 \nL 85.981143 130.739644 \nL 86.815154 128.864061 \nL 87.925817 127.145524 \nL 89.29514 125.625787 \nL 90.897304 124.340691 \nL 92.699841 123.318203 \nL 94.665246 122.577026 \nL 96.752866 122.125923 \nL 98.920886 121.96379 \nL 101.128214 122.080469 \nL 103.336144 122.458106 \nL 105.509634 123.072924 \nL 107.618204 123.89712 \nL 109.636421 124.900736 \nL 111.544022 126.05334 \nL 113.325737 127.325402 \nL 114.970901 128.689309 \nL 116.472919 130.120055 \nL 117.828662 131.595626 \nL 119.037837 133.097105 \nL 120.102388 134.60861 \nL 121.813265 137.612067 \nL 123.001853 140.530344 \nL 123.715417 143.318373 \nL 123.99932 145.95202 \nL 123.891763 148.420139 \nL 123.421041 150.71847 \nL 122.6045 152.845028 \nL 121.448665 154.796594 \nL 119.95016 156.565711 \nL 118.097265 158.137895 \nL 115.872198 159.48867 \nL 113.254383 160.580225 \nL 111.792128 161.012397 \nL 110.225195 161.357589 \nL 108.552693 161.605568 \nL 106.774879 161.744536 \nL 104.893557 161.761032 \nL 102.912538 161.639882 \nL 100.838184 161.36423 \nL 98.680002 160.915662 \nL 96.45131 160.274455 \nL 94.169935 159.420049 \nL 91.858914 158.331717 \nL 89.547136 156.989545 \nL 87.269862 155.375753 \nL 85.069007 153.476377 \nL 82.993053 151.283329 \nL 81.096466 148.796752 \nL 79.438446 146.027553 \nL 78.080933 142.999881 \nL 77.085744 139.75322 \nL 76.510949 136.34365 \nL 76.406627 132.84385 \nL 76.810401 129.341385 \nL 77.743237 125.93505 \nL 79.206119 122.729232 \nL 81.178241 119.826781 \nL 83.617129 117.321085 \nL 86.460896 115.288483 \nL 89.632426 113.782147 \nL 93.044934 112.828397 \nL 96.608156 112.426009 \nL 100.234292 112.548475 \nL 103.842994 113.148623 \nL 107.364953 114.164705 \nL 110.743909 115.52694 \nL 113.937232 117.163499 \nL 116.915336 119.005425 \nL 119.660318 120.990072 \nL 122.164169 123.063154 \nL 124.426853 125.179555 \nL 126.454449 127.3032 \nL 128.257482 129.406334 \nL 129.849505 131.468445 \nL 132.463092 135.416681 \nL 134.42565 139.084784 \nL 135.864054 142.457628 \nL 136.89107 145.546122 \nL 137.601101 148.373465 \nL 138.069652 150.967222 \nL 138.442595 154.479923 \nL 138.534649 157.613007 \nL 138.423781 160.436134 \nL 138.146568 163.005067 \nL 137.709406 165.364432 \nL 137.095031 167.550789 \nL 136.265047 169.595165 \nL 135.159089 171.524566 \nL 134.227191 172.758563 \nL 133.101932 173.957374 \nL 131.742767 175.12478 \nL 130.100375 176.2617 \nL 128.115182 177.36436 \nL 125.715899 178.421383 \nL 122.818363 179.409206 \nL 119.325306 180.285064 \nL 115.128169 180.976415 \nL 112.729877 181.218403 \nL 110.113012 181.365469 \nL 107.264693 181.392271 \nL 104.174061 181.267577 \nL 100.833556 180.953265 \nL 97.240596 180.403324 \nL 93.399767 179.562953 \nL 89.325603 178.367958 \nL 85.045981 176.744702 \nL 80.606164 174.611028 \nL 76.073301 171.878681 \nL 71.541103 168.4579 \nL 67.134013 164.264965 \nL 63.00987 159.233306 \nL 59.359604 153.328549 \nL 56.402092 146.566879 \nL 54.372396 139.034827 \nL 53.50205 130.906595 \nL 53.991809 122.453226 \nL 55.979806 114.036789 \nL 59.511179 106.084347 \nL 64.517374 99.040807 \nL 70.813011 93.307089 \nL 78.114333 89.177463 \nL 86.076545 86.79319 \nL 94.340853 86.126303 \nL 102.578961 86.997487 \nL 110.524803 89.120726 \nL 117.988872 92.159814 \nL 124.856704 95.780858 \nL 131.076922 99.690319 \nL 136.645009 103.654944 \nL 141.58747 107.506157 \nL 145.948918 111.133924 \nL 153.144851 117.503398 \nL 168.841444 131.870115 \nL 170.964821 133.520262 \nL 172.743685 134.685462 \nL 174.283896 135.459794 \nL 175.657914 135.915501 \nL 176.911345 136.109329 \nL 178.068312 136.087744 \nL 179.135907 135.891098 \nL 180.553592 135.349319 \nL 181.696031 134.621409 \nL 182.48166 133.833919 \nL 182.831949 133.11354 \nL 182.797229 132.72852 \nL 182.542924 132.453288 \nL 182.077787 132.308366 \nL 181.422745 132.305189 \nL 180.156956 132.567444 \nL 178.681358 133.118924 \nL 177.159375 133.89431 \nL 175.749023 134.810925 \nL 174.582971 135.783471 \nL 173.758202 136.733072 \nL 173.33457 137.590352 \nL 173.2894 138.080421 \nL 173.4359 138.486406 \nL 173.77025 138.793583 \nL 174.284276 138.988605 \nL 174.965558 139.059781 \nL 176.262971 138.914273 \nL 177.819964 138.450611 \nL 179.530145 137.67291 \nL 181.255512 136.617447 \nL 182.828419 135.361021 \nL 184.062714 134.024071 \nL 184.606807 133.164445 \nL 184.873633 132.38955 \nL 184.830792 131.749172 \nL 184.463781 131.286479 \nL 183.779317 131.033035 \nL 182.806381 131.005089 \nL 181.59436 131.202028 \nL 180.208541 131.607378 \nL 177.968393 132.540188 \nL 175.76176 133.747568 \nL 173.811983 135.095818 \nL 172.284084 136.466723 \nL 171.552541 137.345018 \nL 171.07124 138.166754 \nL 170.847856 138.910959 \nL 170.883371 139.558303 \nL 171.173708 140.090338 \nL 171.710831 140.489094 \nL 172.483227 140.737073 \nL 173.475779 140.817578 \nL 174.669036 140.715479 \nL 176.037987 140.41841 \nL 177.550468 139.918414 \nL 179.165374 139.214074 \nL 180.831026 138.313053 \nL 182.484102 137.234814 \nL 184.049687 136.013178 \nL 185.44312 134.69799 \nL 186.574244 133.355132 \nL 187.354358 132.063854 \nL 187.705699 130.910898 \nL 187.701952 130.413248 \nL 187.572333 129.981369 \nL 187.31496 129.623815 \nL 186.930456 129.347638 \nL 186.422049 129.158109 \nL 185.059429 129.050027 \nL 183.302624 129.300642 \nL 181.258229 129.879598 \nL 179.050766 130.732473 \nL 176.807755 131.7917 \nL 174.646373 132.987686 \nL 172.664151 134.257326 \nL 170.934606 135.548478 \nL 169.507272 136.820678 \nL 168.410771 138.043294 \nL 167.657435 139.192522 \nL 167.248175 140.248334 \nL 167.176816 141.192017 \nL 167.433429 142.004474 \nL 168.006522 142.665269 \nL 168.884092 143.152246 \nL 170.053619 143.441639 \nL 171.501068 143.508635 \nL 173.208972 143.328391 \nL 175.153662 142.877747 \nL 177.301707 142.137752 \nL 179.605788 141.097266 \nL 182.000359 139.757771 \nL 184.397832 138.139261 \nL 186.686436 136.286606 \nL 188.73133 134.275115 \nL 190.380794 132.213128 \nL 191.008226 131.205481 \nL 191.479068 130.238891 \nL 191.776463 129.333432 \nL 191.886056 128.509111 \nL 191.796809 127.785038 \nL 191.501742 127.178531 \nL 190.998561 126.704234 \nL 190.290085 126.373299 \nL 189.384437 126.192766 \nL 188.294944 126.165149 \nL 187.039744 126.288333 \nL 184.124551 126.957023 \nL 180.849379 128.104208 \nL 177.441376 129.599963 \nL 174.111254 131.309034 \nL 171.02967 133.114683 \nL 168.316755 134.930622 \nL 166.043308 136.701397 \nL 164.239443 138.395561 \nL 162.906196 139.996462 \nL 162.026866 141.494074 \nL 161.57637 142.879215 \nL 161.52806 144.140173 \nL 161.858145 145.261157 \nL 162.548113 146.221753 \nL 163.585569 146.996891 \nL 164.963834 147.556966 \nL 166.680493 147.867997 \nL 168.734928 147.891932 \nL 171.124715 147.587382 \nL 173.840708 146.911191 \nL 176.860511 145.821517 \nL 180.140233 144.2832 \nL 183.604641 142.276237 \nL 187.136629 139.808021 \nL 190.568015 136.929033 \nL 192.178257 135.367301 \nL 193.675427 133.749909 \nL 195.024024 132.102298 \nL 196.186784 130.454742 \nL 197.1259 128.841909 \nL 197.804562 127.302003 \nL 198.188835 125.875387 \nL 198.249727 124.602724 \nL 197.965358 123.522708 \nL 197.322969 122.669515 \nL 196.320591 122.07028 \nL 194.968098 121.742808 \nL 193.287471 121.69399 \nL 191.312128 121.919026 \nL 189.08534 122.401824 \nL 186.657859 123.116392 \nL 184.085008 124.029189 \nL 178.728734 126.295288 \nL 173.437372 128.893303 \nL 168.540562 131.569672 \nL 164.247898 134.162305 \nL 160.656364 136.597075 \nL 157.777613 138.860942 \nL 155.569479 140.971607 \nL 153.962815 142.954785 \nL 152.880687 144.831438 \nL 152.25045 146.612936 \nL 152.010386 148.300788 \nL 152.112686 149.888307 \nL 152.524204 151.362608 \nL 153.225978 152.706116 \nL 154.212197 153.8973 \nL 155.488947 154.910647 \nL 157.072903 155.715931 \nL 158.989945 156.276965 \nL 161.273483 156.549919 \nL 163.962148 156.48146 \nL 167.096255 156.007026 \nL 170.712215 155.04982 \nL 174.833742 153.521628 \nL 177.084847 152.513699 \nL 179.458429 151.327252 \nL 181.946906 149.951069 \nL 184.538243 148.375369 \nL 187.214967 146.592791 \nL 189.953098 144.599614 \nL 192.721081 142.397239 \nL 195.478757 139.993954 \nL 198.176549 137.40688 \nL 200.754998 134.663995 \nL 203.144873 131.806036 \nL 205.268141 128.887949 \nL 207.040013 125.979498 \nL 208.372348 123.164543 \nL 209.178517 120.538449 \nL 209.379657 118.203277 \nL 208.91196 116.260626 \nL 207.734257 114.802501 \nL 205.834823 113.901123 \nL 203.236129 113.599352 \nL 199.996305 113.903562 \nL 196.206495 114.780887 \nL 191.984126 116.161916 \nL 187.462908 117.948766 \nL 182.781264 120.027054 \nL 173.448706 124.597675 \nL 160.936109 131.167619 \nL 151.25781 136.45261 \nL 146.396414 139.287799 \nL 142.613748 141.74556 \nL 139.696377 143.970462 \nL 137.436337 146.066652 \nL 135.649227 148.096282 \nL 134.179627 150.089047 \nL 131.706696 153.985959 \nL 129.896742 156.803778 \nL 128.576476 158.610848 \nL 127.095346 160.345442 \nL 125.397649 161.992671 \nL 123.428417 163.534168 \nL 121.131654 164.945295 \nL 118.449747 166.19127 \nL 115.324505 167.222012 \nL 111.700556 167.965498 \nL 109.686647 168.199024 \nL 107.532308 168.319583 \nL 105.235371 168.308187 \nL 102.796196 168.142844 \nL 100.218496 167.798354 \nL 97.510331 167.246242 \nL 94.685253 166.45488 \nL 91.763617 165.389892 \nL 88.774008 164.014977 \nL 85.754678 162.293283 \nL 82.754885 160.18946 \nL 79.835932 157.672551 \nL 77.071613 154.719813 \nL 74.547701 151.321417 \nL 72.360142 147.485832 \nL 70.611522 143.245441 \nL 69.405577 138.661582 \nL 68.83976 133.827913 \nL 68.996296 128.870875 \nL 69.932606 123.945926 \nL 71.672566 119.228895 \nL 74.20026 114.902502 \nL 77.45783 111.139526 \nL 81.348383 108.085058 \nL 85.743918 105.841169 \nL 90.497065 104.45701 \nL 95.454568 103.926329 \nL 100.470152 104.1926 \nL 105.41476 105.160192 \nL 110.183065 106.708842 \nL 114.696085 108.708492 \nL 118.900529 111.031971 \nL 122.765942 113.56421 \nL 126.28068 116.207558 \nL 129.447633 118.883756 \nL 132.28023 121.533376 \nL 134.799038 124.113747 \nL 137.029055 126.596144 \nL 140.732934 131.204358 \nL 143.614603 135.302033 \nL 145.883531 138.902231 \nL 152.077279 149.190318 \nL 153.491967 150.923049 \nL 155.021223 152.362531 \nL 156.72866 153.510637 \nL 158.672189 154.357643 \nL 160.906212 154.881795 \nL 163.482465 155.048693 \nL 166.449134 154.810678 \nL 169.847692 154.106712 \nL 173.706639 152.863571 \nL 178.031088 150.999799 \nL 180.359332 149.809528 \nL 182.787042 148.434679 \nL 185.300285 146.868066 \nL 187.879652 145.105285 \nL 190.499328 143.145926 \nL 193.126196 140.995006 \nL 195.719044 138.664579 \nL 198.228036 136.175469 \nL 200.594588 133.558957 \nL 202.751854 130.858233 \nL 204.626054 128.129287 \nL 206.138838 125.440864 \nL 207.21083 122.873124 \nL 207.766433 120.514545 \nL 207.739646 118.456918 \nL 207.080521 116.788476 \nL 205.7615 115.585699 \nL 203.782678 114.9047 \nL 201.174919 114.773761 \nL 197.999942 115.188436 \nL 194.346908 116.11069 \nL 190.325761 117.472581 \nL 186.058195 119.184074 \nL 181.667745 121.143595 \nL 172.968057 125.408669 \nL 161.346929 131.550625 \nL 152.351257 136.592866 \nL 147.826551 139.363027 \nL 144.308342 141.804752 \nL 141.605874 144.040194 \nL 139.53178 146.158145 \nL 137.919026 148.212056 \nL 136.626494 150.227781 \nL 135.041254 153.19399 \nL 132.137604 158.858994 \nL 131.026637 160.640493 \nL 129.761123 162.356716 \nL 128.293669 164.000265 \nL 126.574883 165.56166 \nL 124.551527 167.02709 \nL 122.165347 168.375273 \nL 119.35286 169.573145 \nL 116.046617 170.569948 \nL 112.178932 171.289276 \nL 110.01511 171.511515 \nL 107.689573 171.618805 \nL 105.198239 171.589466 \nL 102.539719 171.397995 \nL 99.716326 171.014723 \nL 96.735296 170.405593 \nL 93.61027 169.532158 \nL 90.362993 168.351929 \nL 87.025224 166.819223 \nL 83.640742 164.886733 \nL 80.267281 162.508055 \nL 76.978129 159.641372 \nL 73.863006 156.254472 \nL 71.027667 152.331169 \nL 68.591682 147.878797 \nL 66.683774 142.936199 \nL 65.434284 137.581008 \nL 64.964768 131.934536 \nL 65.375361 126.16223 \nL 66.731388 120.467775 \nL 69.051499 115.079756 \nL 72.299991 110.231305 \nL 76.385683 106.135305 \nL 81.168439 102.959491 \nL 86.472764 100.806764 \nL 92.105931 99.705064 \nL 97.877068 99.608971 \nL 103.613607 100.411985 \nL 109.172608 101.965978 \nL 114.446129 104.102947 \nL 119.361277 106.654769 \nL 123.876496 109.467982 \nL 127.975875 112.412651 \nL 131.662957 115.385845 \nL 134.955011 118.311027 \nL 137.878268 121.134938 \nL 140.464216 123.823399 \nL 144.760946 128.726651 \nL 148.117844 132.974098 \nL 152.984718 139.671827 \nL 155.784792 143.371884 \nL 157.523575 145.308791 \nL 159.287336 146.86207 \nL 161.161458 148.049605 \nL 163.215105 148.875217 \nL 165.504156 149.329576 \nL 168.072387 149.391349 \nL 170.950525 149.02885 \nL 174.152852 148.202791 \nL 177.670983 146.870962 \nL 181.464573 144.995995 \nL 185.449231 142.557559 \nL 187.47142 141.129572 \nL 189.482853 139.569997 \nL 191.454743 137.889795 \nL 193.353525 136.1051 \nL 195.140995 134.237936 \nL 196.774794 132.316754 \nL 198.209283 130.376642 \nL 199.39693 128.459115 \nL 200.29018 126.611251 \nL 200.843854 124.884171 \nL 201.017955 123.3307 \nL 200.780709 122.002326 \nL 200.111567 120.945622 \nL 199.003819 120.198464 \nL 197.466417 119.786534 \nL 195.524686 119.720624 \nL 193.219651 119.995237 \nL 190.605964 120.588891 \nL 187.748574 121.466082 \nL 184.718552 122.580753 \nL 178.428721 125.312329 \nL 172.265575 128.373237 \nL 166.625705 131.441605 \nL 161.740817 134.332168 \nL 157.696778 136.981129 \nL 154.476358 139.401148 \nL 152.00295 141.637033 \nL 150.174466 143.736212 \nL 148.885546 145.734677 \nL 148.040183 147.653467 \nL 147.557738 149.500522 \nL 147.374866 151.274296 \nL 147.445173 152.967212 \nL 147.737803 154.568233 \nL 148.235699 156.06435 \nL 148.933941 157.441165 \nL 149.838394 158.68273 \nL 150.964724 159.770829 \nL 152.337767 160.683799 \nL 153.991167 161.394934 \nL 155.967119 161.870489 \nL 158.315968 162.067242 \nL 161.095265 161.929671 \nL 164.367647 161.386834 \nL 168.196596 160.34941 \nL 172.638605 158.70782 \nL 175.102087 157.620848 \nL 177.729686 156.333359 \nL 180.519126 154.827499 \nL 183.463529 153.085773 \nL 186.550072 151.092059 \nL 189.758446 148.832997 \nL 193.059128 146.299858 \nL 196.411555 143.490885 \nL 199.762304 140.4142 \nL 203.043493 137.091123 \nL 206.171724 133.559801 \nL 209.047945 129.87873 \nL 211.55876 126.129592 \nL 213.579736 122.418606 \nL 214.981223 118.875311 \nL 215.636977 115.647666 \nL 215.435488 112.892668 \nL 214.293114 110.762183 \nL 212.167408 109.385116 \nL 209.068133 108.848351 \nL 205.063158 109.180407 \nL 200.276857 110.342319 \nL 194.88013 112.229204 \nL 189.073225 114.683485 \nL 183.064689 117.51725 \nL 171.19915 123.574735 \nL 155.71595 131.629684 \nL 144.166406 137.334917 \nL 134.109278 142.270431 \nL 130.700419 144.174891 \nL 127.990862 145.926483 \nL 125.747455 147.602246 \nL 118.184858 153.730666 \nL 116.101699 155.004308 \nL 113.799203 156.096162 \nL 111.234772 156.953312 \nL 108.381709 157.512393 \nL 105.232668 157.697334 \nL 103.55164 157.621898 \nL 101.805942 157.418084 \nL 100.003366 157.072657 \nL 98.154573 156.5719 \nL 96.27348 155.901978 \nL 94.37763 155.04941 \nL 92.488505 154.001724 \nL 90.631751 152.748301 \nL 88.837251 151.281409 \nL 87.13897 149.597395 \nL 85.574521 147.698048 \nL 84.184374 145.591989 \nL 83.010647 143.296016 \nL 82.095466 140.836235 \nL 81.47892 138.24876 \nL 81.196679 135.579771 \nL 81.277464 132.88476 \nL 81.740578 130.226786 \nL 82.593785 127.673751 \nL 83.831823 125.294781 \nL 85.435837 123.156044 \nL 87.373857 121.316405 \nL 89.602357 119.823487 \nL 92.068752 118.710568 \nL 94.71458 117.99485 \nL 97.478939 117.677125 \nL 100.301854 117.742958 \nL 103.127185 118.165083 \nL 105.904876 118.906522 \nL 108.59242 119.924097 \nL 111.155542 121.171803 \nL 113.568233 122.603734 \nL 115.812264 124.176388 \nL 117.87636 125.850258 \nL 119.755178 127.590749 \nL 121.448234 129.368547 \nL 122.958847 131.15955 \nL 124.29318 132.944516 \nL 125.459383 134.708536 \nL 127.325775 138.132184 \nL 128.638851 141.375236 \nL 129.477595 144.415573 \nL 129.911251 147.251078 \nL 129.995454 149.890481 \nL 129.770915 152.347434 \nL 129.26358 154.636697 \nL 128.485509 156.77172 \nL 127.435988 158.76293 \nL 126.102658 160.616335 \nL 124.46255 162.331994 \nL 122.483132 163.902106 \nL 120.12357 165.30836 \nL 117.336644 166.518203 \nL 114.071964 167.479738 \nL 112.245146 167.844259 \nL 110.281508 168.114994 \nL 108.17694 168.276768 \nL 105.928947 168.311696 \nL 103.537281 168.198916 \nL 101.004737 167.91438 \nL 98.338094 167.430737 \nL 95.549228 166.717403 \nL 92.656381 165.74086 \nL 89.685555 164.46536 \nL 86.671969 162.854092 \nL 83.661446 160.871031 \nL 80.711577 158.483563 \nL 77.892369 155.666019 \nL 75.286087 152.404109 \nL 72.985872 148.700149 \nL 71.092777 144.578664 \nL 69.710883 140.0917 \nL 68.940452 135.322853 \nL 68.869353 130.388736 \nL 69.563572 125.436622 \nL 71.058023 120.637313 \nL 73.349387 116.173077 \nL 76.392542 112.221593 \nL 80.101907 108.938181 \nL 84.357893 106.439369 \nL 89.017673 104.791071 \nL 93.928379 104.003751 \nL 98.940391 104.035286 \nL 103.918545 104.800553 \nL 108.749836 106.185221 \nL 113.347188 108.060771 \nL 117.649692 110.298031 \nL 121.620314 112.777508 \nL 125.242122 115.395901 \nL 128.514009 118.068997 \nL 131.446573 120.731792 \nL 134.058517 123.336785 \nL 136.373726 125.851307 \nL 140.222423 130.53485 \nL 143.215303 134.710695 \nL 145.564984 138.384573 \nL 151.861751 148.901259 \nL 153.264688 150.679933 \nL 154.771723 152.164133 \nL 156.447604 153.357473 \nL 158.350937 154.252042 \nL 160.53657 154.827975 \nL 163.056666 155.052854 \nL 165.960112 154.881088 \nL 169.289753 154.253662 \nL 173.076689 153.09905 \nL 177.330557 151.336611 \nL 179.626209 150.201597 \nL 182.024713 148.884603 \nL 184.51365 147.377784 \nL 187.075407 145.675746 \nL 189.686257 143.7767 \nL 192.315428 141.683805 \nL 194.924286 139.406752 \nL 197.465692 136.963456 \nL 199.883738 134.381793 \nL 202.114027 131.701137 \nL 204.084701 128.973475 \nL 205.718473 126.2637 \nL 206.935805 123.6487 \nL 207.659312 121.214851 \nL 207.819316 119.053605 \nL 207.360168 117.255179 \nL 206.246716 115.900649 \nL 204.470029 115.05336 \nL 202.051277 114.750899 \nL 199.042836 114.999265 \nL 195.525979 115.770636 \nL 191.60513 117.005631 \nL 187.39945 118.619971 \nL 183.033005 120.514398 \nL 174.282552 124.738271 \nL 166.126521 128.978489 \nL 155.932301 134.538147 \nL 150.657768 137.595633 \nL 146.500428 140.237228 \nL 143.285241 142.595331 \nL 140.819615 144.78199 \nL 138.921944 146.873315 \nL 137.433856 148.912162 \nL 136.223227 150.917129 \nL 134.224557 154.83189 \nL 132.285285 158.57826 \nL 130.59382 161.240944 \nL 129.262125 162.932801 \nL 127.711441 164.548936 \nL 125.891184 166.078618 \nL 123.746438 167.505782 \nL 121.217078 168.80553 \nL 118.238 169.939298 \nL 114.741127 170.848265 \nL 112.777553 171.192432 \nL 110.660321 171.444626 \nL 108.383036 171.587523 \nL 105.940996 171.600496 \nL 103.33194 171.459205 \nL 100.556995 171.135242 \nL 97.621825 170.595862 \nL 94.538043 169.803903 \nL 91.324841 168.718027 \nL 88.010845 167.293392 \nL 84.636107 165.482994 \nL 81.254082 163.239887 \nL 77.933354 160.5205 \nL 74.758765 157.289278 \nL 71.831457 153.524662 \nL 69.267243 149.226326 \nL 67.192719 144.423118 \nL 65.73859 139.180664 \nL 65.030091 133.607167 \nL 65.17489 127.855347 \nL 66.249758 122.1186 \nL 68.287971 116.619847 \nL 71.270186 111.593117 \nL 75.121182 107.259654 \nL 79.714143 103.802609 \nL 84.882341 101.345284 \nL 90.436265 99.937902 \nL 96.182792 99.555737 \nL 101.942707 100.108518 \nL 107.563679 101.458231 \nL 112.927368 103.440679 \nL 117.950888 105.886151 \nL 122.584036 108.635844 \nL 126.804009 111.552454 \nL 130.609244 114.525113 \nL 134.013491 117.469822 \nL 137.040748 120.326922 \nL 139.721249 123.057095 \nL 144.177046 128.054917 \nL 147.654095 132.397492 \nL 151.585338 137.753422 \nL 155.502102 143.062975 \nL 157.24449 145.059971 \nL 158.997645 146.669699 \nL 160.849678 147.91217 \nL 162.871941 148.793215 \nL 165.122202 149.305372 \nL 167.646105 149.428978 \nL 170.47658 149.133692 \nL 173.630833 148.381044 \nL 177.104568 147.128713 \nL 180.863156 145.337759 \nL 184.829894 142.984046 \nL 186.852502 141.596678 \nL 188.872413 140.075037 \nL 190.862277 138.428635 \nL 192.789963 136.671933 \nL 194.618611 134.825079 \nL 196.307002 132.914522 \nL 197.810313 130.973351 \nL 199.081323 129.041218 \nL 200.072149 127.163694 \nL 200.736489 125.390971 \nL 201.032324 123.775755 \nL 200.924921 122.370428 \nL 200.38989 121.223609 \nL 199.415971 120.376361 \nL 198.007139 119.858532 \nL 196.183715 119.685754 \nL 193.982117 119.857609 \nL 191.453211 120.357348 \nL 188.65933 121.153374 \nL 185.670297 122.202328 \nL 182.558942 123.45326 \nL 176.249693 126.347302 \nL 170.223435 129.444732 \nL 164.820636 132.468794 \nL 160.218576 135.280268 \nL 156.461941 137.847595 \nL 153.508041 140.199261 \nL 151.267876 142.383717 \nL 149.635956 144.445546 \nL 148.508875 146.415713 \nL 147.795317 148.310436 \nL 147.420395 150.133985 \nL 147.326602 151.882413 \nL 147.472985 153.546756 \nL 147.833539 155.115236 \nL 148.395451 156.57442 \nL 149.15753 157.90953 \nL 150.128969 159.104087 \nL 151.328487 160.139021 \nL 152.783814 160.99136 \nL 154.53139 161.63251 \nL 156.616117 162.026123 \nL 159.090846 162.125528 \nL 162.015174 161.870775 \nL 165.452815 161.185505 \nL 169.466446 159.974151 \nL 174.108403 158.120686 \nL 176.674837 156.911814 \nL 179.404946 155.491238 \nL 182.293838 153.841143 \nL 185.331223 151.944642 \nL 188.499933 149.787006 \nL 191.774268 147.357351 \nL 195.118173 144.650787 \nL 198.483398 141.671121 \nL 201.807759 138.434046 \nL 205.013828 134.970693 \nL 208.008357 131.33128 \nL 210.682957 127.588322 \nL 212.916554 123.838702 \nL 214.580181 120.20361 \nL 215.544539 116.825205 \nL 215.690348 113.859025 \nL 214.921008 111.461599 \nL 213.176183 109.773712 \nL 210.444118 108.901332 \nL 206.769943 108.897553 \nL 202.25719 109.750045 \nL 197.06103 111.37816 \nL 191.373519 113.641794 \nL 185.403437 116.360824 \nL 179.354847 119.34074 \nL 145.358156 136.73298 \nL 134.777529 141.877709 \nL 131.197906 143.820801 \nL 128.368579 145.588312 \nL 126.047177 147.269289 \nL 122.177166 150.483094 \nL 119.408638 152.727566 \nL 117.440396 154.092042 \nL 115.29144 155.305286 \nL 112.909187 156.320004 \nL 110.256295 157.080055 \nL 107.312304 157.518189 \nL 105.730381 157.591963 \nL 104.07798 157.554026 \nL 102.359692 157.392187 \nL 100.582481 157.093521 \nL 98.756046 156.644572 \nL 96.893204 156.031649 \nL 95.010242 155.241258 \nL 93.127268 154.260714 \nL 91.268444 153.078903 \nL 89.46212 151.687236 \nL 87.740743 150.080803 \nL 86.140531 148.259652 \nL 84.700788 146.230164 \nL 83.462848 144.00641 \nL 82.468591 141.611339 \nL 81.758533 139.077613 \nL 81.369582 136.447888 \nL 81.332558 133.774336 \nL 81.669727 131.117221 \nL 82.39256 128.542522 \nL 83.500056 126.118627 \nL 84.977872 123.912363 \nL 86.798448 121.984698 \nL 88.922209 120.386696 \nL 91.299753 119.156157 \nL 93.874793 118.315425 \nL 96.587495 117.870599 \nL 99.377871 117.812249 \nL 102.188811 118.117384 \nL 104.968544 118.752346 \nL 107.67233 119.676182 \nL 110.263404 120.844049 \nL 112.713212 122.210251 \nL 115.001089 123.730769 \nL 117.113543 125.365032 \nL 119.043307 127.077055 \nL 120.788287 128.835989 \nL 122.35051 130.616176 \nL 123.735132 132.396904 \nL 124.949566 134.16192 \nL 126.904378 137.598747 \nL 128.293715 140.864044 \nL 129.196487 143.93076 \nL 129.683026 146.793666 \nL 129.810634 149.459693 \nL 129.621901 151.94151 \nL 129.144644 154.253438 \nL 128.392674 156.408816 \nL 127.366879 158.418172 \nL 126.056351 160.287714 \nL 124.439459 162.017833 \nL 122.484918 163.601172 \nL 120.153093 165.020024 \nL 117.3979 166.242695 \nL 114.169987 167.218534 \nL 112.36371 167.591298 \nL 110.422154 167.871373 \nL 108.341239 168.043937 \nL 106.118446 168.091516 \nL 103.753435 167.993726 \nL 101.248814 167.727069 \nL 98.611053 167.264816 \nL 95.851569 166.57706 \nL 92.987953 165.631002 \nL 90.045336 164.391611 \nL 87.057803 162.822744 \nL 84.06977 160.888895 \nL 81.137124 158.557725 \nL 78.327915 155.803442 \nL 75.722248 152.61108 \nL 73.411059 148.981545 \nL 71.493314 144.937076 \nL 70.071419 140.526484 \nL 69.244679 135.829216 \nL 69.101041 130.95706 \nL 69.707864 126.052199 \nL 71.102868 121.280732 \nL 73.28685 116.821303 \nL 76.21981 112.849788 \nL 79.821705 109.521983 \nL 83.978236 106.957306 \nL 88.550965 105.226645 \nL 93.39002 104.346768 \nL 98.347181 104.282303 \nL 103.287163 104.954358 \nL 108.095614 106.253626 \nL 112.683288 108.055012 \nL 116.986713 110.231143 \nL 120.966241 112.662905 \nL 124.602511 115.246316 \nL 127.892315 117.895823 \nL 130.84452 120.544743 \nL 133.476466 123.143841 \nL 135.811005 125.658817 \nL 139.693528 130.356851 \nL 142.711033 134.558522 \nL 145.074625 138.264335 \nL 148.561305 144.342384 \nL 150.649664 147.90971 \nL 151.994209 149.883827 \nL 153.397324 151.561263 \nL 154.928112 152.952654 \nL 156.647883 154.057543 \nL 158.613275 154.864029 \nL 160.878233 155.348213 \nL 163.494659 155.473462 \nL 166.511314 155.189699 \nL 169.970395 154.433154 \nL 173.900914 153.127538 \nL 176.045834 152.24247 \nL 178.307733 151.188112 \nL 180.680737 149.954077 \nL 183.15505 148.531068 \nL 185.716083 146.91169 \nL 188.343525 145.091495 \nL 191.010356 143.070263 \nL 193.68191 140.853513 \nL 196.315066 138.454215 \nL 198.857693 135.894606 \nL 201.248559 133.207972 \nL 203.4179 130.440132 \nL 205.288877 127.650321 \nL 206.780156 124.911062 \nL 207.80977 122.306572 \nL 208.300254 119.929336 \nL 208.184876 117.874595 \nL 207.414452 116.232906 \nL 205.963934 115.081342 \nL 203.837731 114.474498 \nL 201.072597 114.436819 \nL 197.737219 114.957981 \nL 193.928073 115.992688 \nL 189.761916 117.465277 \nL 185.365997 119.278681 \nL 180.867608 121.325841 \nL 172.018414 125.712298 \nL 160.317277 131.911336 \nL 151.34351 136.926763 \nL 146.852757 139.666888 \nL 143.366887 142.081317 \nL 140.686882 144.295451 \nL 138.620864 146.397904 \nL 136.9995 148.440615 \nL 135.680495 150.447723 \nL 134.020372 153.402652 \nL 131.402178 158.130655 \nL 130.219467 159.92738 \nL 128.879173 161.656643 \nL 127.330981 163.308626 \nL 125.523378 164.871001 \nL 123.401812 166.326454 \nL 120.907694 167.649276 \nL 117.978555 168.800704 \nL 114.550006 169.722653 \nL 112.628901 170.072164 \nL 110.560524 170.329518 \nL 108.339149 170.478037 \nL 105.960739 170.49796 \nL 103.423652 170.366086 \nL 100.729528 170.055463 \nL 97.88437 169.535182 \nL 94.899839 168.77034 \nL 91.79476 167.722306 \nL 88.596806 166.349409 \nL 85.344302 164.608211 \nL 82.087981 162.455605 \nL 78.892513 159.851876 \nL 75.837455 156.764931 \nL 73.017215 153.175734 \nL 70.539531 149.084796 \nL 68.521913 144.519245 \nL 67.085647 139.539621 \nL 66.34723 134.245008 \nL 66.407587 128.774869 \nL 67.340132 123.305789 \nL 69.179415 118.041919 \nL 71.912609 113.198955 \nL 75.476046 108.983211 \nL 79.758249 105.569006 \nL 84.60959 103.07874 \nL 89.857027 101.569905 \nL 95.321136 101.03182 \nL 100.83224 101.392436 \nL 106.242942 102.532978 \nL 111.435639 104.306744 \nL 116.324988 106.557884 \nL 120.856288 109.137018 \nL 125.001281 111.911966 \nL 128.752814 114.77344 \nL 132.119426 117.636445 \nL 135.12056 120.438758 \nL 137.78263 123.137731 \nL 142.212896 128.129972 \nL 145.665752 132.522329 \nL 149.54161 138.018538 \nL 154.156617 144.714558 \nL 155.787768 146.677904 \nL 157.458176 148.282737 \nL 159.24937 149.543926 \nL 161.229466 150.462979 \nL 163.456195 151.028418 \nL 165.978318 151.216222 \nL 168.835095 150.990603 \nL 172.053373 150.305541 \nL 175.641762 149.107924 \nL 179.581356 147.343543 \nL 183.81266 144.967584 \nL 186.004008 143.54281 \nL 188.219142 141.961438 \nL 190.431655 140.229244 \nL 192.609494 138.35707 \nL 194.714723 136.361885 \nL 196.703584 134.267773 \nL 198.526929 132.106723 \nL 200.131196 129.919081 \nL 201.45999 127.753398 \nL 202.456358 125.665552 \nL 203.065754 123.716892 \nL 203.239614 121.971315 \nL 202.939262 120.491354 \nL 202.139857 119.333455 \nL 200.833806 118.542948 \nL 199.033154 118.149372 \nL 196.770426 118.162965 \nL 194.097596 118.572953 \nL 191.083123 119.348246 \nL 187.807356 120.440482 \nL 184.35689 121.789058 \nL 177.274523 124.988631 \nL 170.446475 128.446693 \nL 164.300833 131.801379 \nL 159.05957 134.872691 \nL 154.776167 137.626032 \nL 151.394584 140.107186 \nL 148.802363 142.387316 \nL 146.868067 144.530917 \nL 145.463659 146.583487 \nL 144.475873 148.570847 \nL 143.810603 150.503481 \nL 143.393292 152.381882 \nL 143.167283 154.201078 \nL 143.100341 156.802928 \nL 143.286498 159.230406 \nL 143.6864 161.462279 \nL 144.296761 163.480898 \nL 145.143329 165.269102 \nL 145.863618 166.323047 \nL 146.733691 167.256817 \nL 147.781617 168.058992 \nL 149.042119 168.71405 \nL 150.557496 169.200854 \nL 152.378661 169.49066 \nL 154.566142 169.544562 \nL 157.190787 169.310163 \nL 160.333727 168.717382 \nL 164.084733 167.673471 \nL 168.537594 166.057614 \nL 173.780213 163.716426 \nL 176.719183 162.216662 \nL 179.87585 160.46326 \nL 183.248942 158.429134 \nL 186.830532 156.087226 \nL 190.603847 153.41212 \nL 194.540653 150.382354 \nL 198.598274 146.983626 \nL 202.716359 143.212989 \nL 206.813615 139.084143 \nL 210.784949 134.63365 \nL 214.49964 129.927759 \nL 217.801426 125.068911 \nL 220.511645 120.200607 \nL 222.43669 115.508571 \nL 223.380804 111.215693 \nL 223.164626 107.568233 \nL 221.648564 104.811884 \nL 218.758041 103.158537 \nL 214.505492 102.748558 \nL 209.002687 103.617299 \nL 202.457497 105.676637 \nL 195.15287 108.720461 \nL 187.411308 112.455927 \nL 179.553344 116.553 \nL 157.773746 128.191764 \nL 151.60672 131.274989 \nL 146.076585 133.862814 \nL 141.170328 135.981828 \nL 136.850156 137.687311 \nL 129.75699 140.128077 \nL 124.347083 141.696111 \nL 107.688014 145.986244 \nL 106.046461 146.213019 \nL 104.429292 146.270618 \nL 102.826687 146.129879 \nL 101.248811 145.766247 \nL 99.723325 145.162483 \nL 98.292852 144.311708 \nL 97.011826 143.220737 \nL 95.942218 141.913366 \nL 95.147785 140.432856 \nL 94.686969 138.842693 \nL 94.604961 137.22456 \nL 94.9261 135.672937 \nL 95.648097 134.286402 \nL 96.150725 133.684315 \nL 96.739552 133.156796 \nL 97.40638 132.712479 \nL 98.934639 132.099439 \nL 100.647345 131.878167 \nL 102.44825 132.05084 \nL 104.242536 132.591842 \nL 105.94467 133.454269 \nL 107.483528 134.578043 \nL 108.804593 135.897732 \nL 109.869688 137.348751 \nL 110.655021 138.871414 \nL 111.148376 140.412899 \nL 111.346171 141.927561 \nL 111.250847 143.376116 \nL 110.868901 144.724194 \nL 110.20968 145.940624 \nL 109.285001 146.995754 \nL 108.109567 147.859962 \nL 106.702158 148.502555 \nL 105.087503 148.891224 \nL 103.298734 148.992281 \nL 101.380199 148.771977 \nL 99.390256 148.199238 \nL 97.403487 147.250113 \nL 95.511439 145.914038 \nL 93.820877 144.201647 \nL 93.087444 143.21551 \nL 92.448401 142.153065 \nL 91.918264 141.025078 \nL 91.510713 139.844804 \nL 91.238078 138.627941 \nL 91.110812 137.392417 \nL 91.136979 136.15806 \nL 91.321776 134.946096 \nL 91.667159 133.778523 \nL 92.171575 132.67738 \nL 92.829846 131.663929 \nL 93.633224 130.757848 \nL 94.569618 129.976443 \nL 95.623992 129.333995 \nL 96.77888 128.841236 \nL 98.015031 128.505029 \nL 99.31209 128.328282 \nL 100.649293 128.310034 \nL 102.006139 128.445775 \nL 103.362968 128.72789 \nL 104.701458 129.146233 \nL 106.004987 129.688732 \nL 107.258886 130.342014 \nL 109.569548 131.924425 \nL 111.557603 133.781116 \nL 113.177505 135.808469 \nL 114.408127 137.918274 \nL 115.245816 140.039586 \nL 115.697828 142.117403 \nL 115.776943 144.109638 \nL 115.497529 145.983444 \nL 114.87309 147.711571 \nL 113.915148 149.268997 \nL 112.633348 150.629937 \nL 111.03665 151.765234 \nL 109.135629 152.640174 \nL 106.945869 153.212801 \nL 104.492546 153.433058 \nL 101.816147 153.243251 \nL 100.412759 152.975043 \nL 98.979116 152.580678 \nL 97.527588 152.052488 \nL 96.072729 151.383455 \nL 94.631398 150.567645 \nL 93.222813 149.600746 \nL 91.868477 148.480653 \nL 90.591999 147.208142 \nL 89.418739 145.787558 \nL 88.375261 144.227492 \nL 87.488604 142.541405 \nL 86.785345 140.748066 \nL 86.290477 138.871791 \nL 86.026176 136.942333 \nL 86.0105 134.994419 \nL 86.256136 133.066809 \nL 86.769322 131.200957 \nL 87.549035 129.439255 \nL 88.586584 127.823018 \nL 89.865664 126.390356 \nL 91.362924 125.174159 \nL 93.048955 124.200354 \nL 94.889718 123.486666 \nL 96.848172 123.041973 \nL 98.886019 122.866327 \nL 100.965396 122.951589 \nL 103.050342 123.282572 \nL 105.108011 123.838531 \nL 107.109505 124.594815 \nL 109.030382 125.52451 \nL 110.850825 126.599952 \nL 112.555556 127.79397 \nL 114.133526 129.080882 \nL 115.577485 130.437148 \nL 116.883455 131.841786 \nL 118.050185 133.276541 \nL 119.078605 134.725877 \nL 120.732123 137.6188 \nL 121.876951 140.443581 \nL 122.553846 143.15216 \nL 122.803013 145.716745 \nL 122.658845 148.122363 \nL 122.147061 150.360953 \nL 121.283561 152.4268 \nL 120.074491 154.312884 \nL 118.517198 156.007778 \nL 116.601965 157.492702 \nL 114.314605 158.738486 \nL 111.640217 159.702263 \nL 110.154319 160.060382 \nL 108.568577 160.323914 \nL 106.883707 160.482085 \nL 105.101837 160.522665 \nL 103.226923 160.431939 \nL 101.265226 160.194737 \nL 99.225842 159.794577 \nL 97.121269 159.213892 \nL 94.968018 158.434453 \nL 92.787212 157.437975 \nL 90.605127 156.20697 \nL 88.453625 154.725882 \nL 86.370392 152.982554 \nL 84.398853 150.969938 \nL 82.587683 148.688125 \nL 80.989768 146.146462 \nL 79.660525 143.365661 \nL 78.655531 140.379597 \nL 78.027498 137.236441 \nL 77.822715 133.998813 \nL 78.077252 130.742539 \nL 78.813304 127.553856 \nL 80.036173 124.524947 \nL 81.732403 121.748144 \nL 83.869439 119.309358 \nL 86.397032 117.281513 \nL 89.250335 115.71894 \nL 92.35429 114.653581 \nL 95.628772 114.093545 \nL 98.993766 114.024106 \nL 102.374009 114.410919 \nL 105.70256 115.204701 \nL 108.923138 116.346644 \nL 111.991187 117.773737 \nL 114.873865 119.423346 \nL 117.549223 121.23678 \nL 120.004864 123.161616 \nL 122.236371 125.152952 \nL 124.245675 127.173758 \nL 126.039525 129.19456 \nL 127.628134 131.192721 \nL 129.02402 133.151525 \nL 131.293783 136.907871 \nL 132.964018 140.412078 \nL 134.144774 143.652067 \nL 134.932369 146.637544 \nL 135.405921 149.388814 \nL 135.626941 151.930179 \nL 135.640533 154.286294 \nL 135.477285 156.480297 \nL 135.155259 158.53297 \nL 134.681754 160.46247 \nL 134.054695 162.284317 \nL 133.26356 164.011457 \nL 132.28988 165.654242 \nL 131.107322 167.220201 \nL 129.681441 168.713481 \nL 127.969172 170.133754 \nL 125.918231 171.474401 \nL 123.466634 172.719616 \nL 120.542738 173.839971 \nL 117.066527 174.785866 \nL 112.953261 175.478111 \nL 110.6318 175.69317 \nL 108.121495 175.794979 \nL 105.41519 175.758941 \nL 102.508456 175.555557 \nL 99.40081 175.149842 \nL 96.097236 174.500835 \nL 92.610077 173.561336 \nL 88.961289 172.278024 \nL 85.185058 170.592205 \nL 81.330671 168.441492 \nL 77.465445 165.762762 \nL 73.677351 162.496828 \nL 70.076777 158.595129 \nL 66.796652 154.02864 \nL 63.989982 148.798755 \nL 61.823754 142.949251 \nL 60.468438 136.577637 \nL 60.082913 129.843036 \nL 60.795805 122.967338 \nL 62.685609 116.226117 \nL 65.763565 109.927594 \nL 69.963673 104.38058 \nL 75.143624 99.856163 \nL 81.098045 96.55119 \nL 87.581925 94.562335 \nL 94.339199 93.877458 \nL 101.130112 94.385889 \nL 107.751893 95.903809 \nL 114.050003 98.207192 \nL 119.920132 101.064062 \nL 125.303352 104.259863 \nL 130.177506 107.613287 \nL 134.547626 110.982753 \nL 138.437147 114.265807 \nL 141.880807 117.394221 \nL 147.595967 123.044494 \nL 152.034004 127.817542 \nL 161.736866 138.612222 \nL 163.740767 140.394116 \nL 165.67476 141.723632 \nL 167.631336 142.638732 \nL 169.67654 143.162047 \nL 171.853223 143.304427 \nL 174.18254 143.068818 \nL 176.663677 142.454751 \nL 179.272026 141.463759 \nL 181.956235 140.106035 \nL 184.635025 138.408341 \nL 187.195162 136.422682 \nL 189.492616 134.234279 \nL 191.359359 131.966383 \nL 192.075566 130.851256 \nL 192.618022 129.778314 \nL 192.966947 128.771104 \nL 193.105293 127.853236 \nL 193.019775 127.047365 \nL 192.7018 126.374092 \nL 192.148286 125.850832 \nL 191.362221 125.490799 \nL 190.352925 125.302179 \nL 189.135951 125.287615 \nL 187.732597 125.444076 \nL 186.169059 125.763151 \nL 182.683674 126.832869 \nL 178.940034 128.354279 \nL 175.193476 130.164604 \nL 171.659614 132.115699 \nL 168.495465 134.095097 \nL 165.79681 136.030732 \nL 163.606923 137.884014 \nL 161.930551 139.638054 \nL 160.748295 141.286444 \nL 160.028769 142.825093 \nL 159.737581 144.24743 \nL 159.843282 145.542216 \nL 160.320784 146.692888 \nL 161.152892 147.677609 \nL 162.330454 148.469453 \nL 163.851434 149.03649 \nL 165.719097 149.341785 \nL 167.939232 149.343397 \nL 170.516224 148.994807 \nL 173.447644 148.246242 \nL 176.716923 147.047694 \nL 180.283811 145.354622 \nL 184.072584 143.137549 \nL 187.958812 140.396498 \nL 189.883138 138.842257 \nL 191.756967 137.180415 \nL 193.546382 135.428399 \nL 195.213382 133.609372 \nL 196.716476 131.75259 \nL 198.011689 129.893427 \nL 199.054017 128.072917 \nL 199.799352 126.336745 \nL 200.206833 124.733527 \nL 200.241518 123.312434 \nL 199.877172 122.120219 \nL 199.098905 121.197868 \nL 197.905332 120.577199 \nL 196.309893 120.277932 \nL 194.341098 120.305598 \nL 192.041494 120.650749 \nL 189.465393 121.28969 \nL 186.675597 122.186705 \nL 183.739454 123.297449 \nL 177.696139 125.964177 \nL 171.821121 128.915252 \nL 166.472174 131.863887 \nL 161.855101 134.647697 \nL 158.043713 137.211637 \nL 155.019229 139.567056 \nL 152.709761 141.752724 \nL 151.020851 143.809172 \nL 149.855585 145.766507 \nL 149.126128 147.641395 \nL 148.759311 149.438688 \nL 148.698489 151.154546 \nL 148.903335 152.779416 \nL 149.348639 154.300151 \nL 150.022783 155.701181 \nL 150.926285 156.964785 \nL 152.07059 158.070661 \nL 153.477134 158.99491 \nL 155.176636 159.70854 \nL 157.208439 160.175531 \nL 159.619638 160.350508 \nL 162.463548 160.176097 \nL 165.796841 159.580217 \nL 169.674345 158.473839 \nL 174.14003 156.750344 \nL 176.600728 155.619684 \nL 179.212209 154.288625 \nL 181.968991 152.741459 \nL 184.860559 150.963528 \nL 187.870074 148.942347 \nL 190.97291 146.669124 \nL 194.135095 144.140659 \nL 197.311744 141.3617 \nL 200.445626 138.347688 \nL 203.46612 135.127772 \nL 206.288825 131.747847 \nL 208.816277 128.273198 \nL 210.940158 124.790109 \nL 212.545481 121.405702 \nL 213.517039 118.245059 \nL 213.748165 115.444884 \nL 213.151359 113.14327 \nL 211.669737 111.465969 \nL 209.287501 110.510584 \nL 206.037358 110.331462 \nL 202.002585 110.928551 \nL 197.312458 112.243686 \nL 192.131012 114.166187 \nL 186.640911 116.547275 \nL 181.025498 119.22039 \nL 170.062036 124.812646 \nL 148.439641 136.009011 \nL 140.117759 140.288896 \nL 136.093821 142.542731 \nL 132.963953 144.547867 \nL 130.476081 146.426663 \nL 128.416647 148.243349 \nL 124.917279 151.759504 \nL 122.346013 154.253165 \nL 120.483258 155.801826 \nL 118.419099 157.221301 \nL 116.095639 158.471603 \nL 113.464953 159.503694 \nL 110.490179 160.256018 \nL 108.866132 160.503639 \nL 107.14931 160.650566 \nL 105.340446 160.683882 \nL 103.442304 160.589271 \nL 101.460107 160.351035 \nL 99.402048 159.952199 \nL 97.279835 159.37474 \nL 95.109292 158.599976 \nL 92.910938 157.609151 \nL 90.710534 156.384279 \nL 88.539532 154.909261 \nL 86.435305 153.171331 \nL 84.441104 151.162792 \nL 82.605568 148.883016 \nL 80.981729 146.340615 \nL 79.625335 143.55558 \nL 78.592506 140.561127 \nL 77.936693 137.404923 \nL 77.705101 134.149297 \nL 77.934835 130.870089 \nL 78.649172 127.653903 \nL 79.854445 124.593672 \nL 81.538075 121.782866 \nL 83.668122 119.308783 \nL 86.194632 117.245907 \nL 89.052696 115.650142 \nL 92.166842 114.554829 \nL 95.456248 113.969175 \nL 98.840002 113.879165 \nL 102.241839 114.25074 \nL 105.593816 115.034508 \nL 108.83873 116.171239 \nL 111.931229 117.597259 \nL 114.837843 119.24919 \nL 117.536148 121.067536 \nL 120.01344 122.999131 \nL 122.265118 124.998418 \nL 124.29304 127.027813 \nL 126.103973 129.057414 \nL 127.708202 131.06426 \nL 129.118365 133.031396 \nL 131.413253 136.80282 \nL 133.105167 140.319586 \nL 134.305525 143.569578 \nL 135.11194 146.562711 \nL 135.604723 149.319593 \nL 135.846472 151.86483 \nL 135.883314 154.223362 \nL 135.746828 156.418575 \nL 135.456088 158.471489 \nL 135.019478 160.40049 \nL 134.436116 162.221365 \nL 133.696844 163.947398 \nL 132.78475 165.589419 \nL 131.675302 167.155673 \nL 130.336109 168.651373 \nL 128.726413 170.077813 \nL 126.796425 171.430817 \nL 124.486688 172.698237 \nL 121.727813 173.856061 \nL 118.441137 174.862618 \nL 114.541319 175.650106 \nL 112.33439 175.930524 \nL 109.942502 176.112714 \nL 107.356865 176.174924 \nL 104.570735 176.090847 \nL 101.580433 175.828996 \nL 98.386677 175.3521 \nL 94.996239 174.616643 \nL 91.423991 173.572666 \nL 87.695331 172.164031 \nL 83.848959 170.329393 \nL 79.939896 168.004244 \nL 76.042459 165.124404 \nL 72.252803 161.63137 \nL 68.690375 157.479866 \nL 65.497397 152.647683 \nL 62.835368 147.147377 \nL 60.877511 141.038725 \nL 59.79651 134.439756 \nL 59.747639 127.533262 \nL 60.84874 120.565091 \nL 63.16007 113.831084 \nL 66.66838 107.651402 \nL 71.279886 102.334557 \nL 76.825368 98.137285 \nL 83.077744 95.229298 \nL 89.778856 93.671816 \nL 96.669361 93.415305 \nL 103.515209 94.31622 \nL 110.125758 96.167054 \nL 116.361831 98.731194 \nL 122.134821 101.774387 \nL 127.399819 105.087635 \nL 132.146008 108.499852 \nL 136.386856 111.881516 \nL 140.151634 115.141979 \nL 143.478808 118.223381 \nL 148.993212 123.737919 \nL 155.05802 130.342648 \nL 160.570115 136.481062 \nL 162.734257 138.638111 \nL 164.723178 140.294887 \nL 166.653948 141.506193 \nL 168.612735 142.308698 \nL 170.659396 142.724499 \nL 172.830451 142.76496 \nL 175.140348 142.434884 \nL 177.58108 141.737274 \nL 180.120451 140.679 \nL 182.69959 139.277526 \nL 185.230679 137.568537 \nL 187.596424 135.613708 \nL 189.653229 133.506972 \nL 191.240243 131.376661 \nL 191.806483 130.351108 \nL 192.195807 129.380369 \nL 192.39179 128.486249 \nL 192.38118 127.689935 \nL 192.154769 127.011042 \nL 191.708154 126.466612 \nL 191.04231 126.070182 \nL 190.163909 125.830985 \nL 189.085334 125.753414 \nL 187.824368 125.836781 \nL 186.40355 126.075423 \nL 183.190564 126.974135 \nL 179.682403 128.329386 \nL 176.11918 129.994692 \nL 172.711633 131.829405 \nL 169.620577 133.720645 \nL 166.950959 135.591056 \nL 164.757295 137.395093 \nL 163.055187 139.109568 \nL 161.83434 140.723413 \nL 161.070206 142.229641 \nL 160.733003 143.620193 \nL 160.793927 144.883273 \nL 161.228942 146.002319 \nL 162.02063 146.955784 \nL 163.158584 147.717263 \nL 164.638656 148.255587 \nL 166.46122 148.534921 \nL 168.628445 148.515004 \nL 171.140389 148.151791 \nL 173.989684 147.39908 \nL 177.154437 146.2118 \nL 180.589192 144.551853 \nL 184.214055 142.397538 \nL 187.902983 139.757232 \nL 191.473558 136.687069 \nL 193.140735 135.026165 \nL 194.682559 133.310136 \nL 196.060382 131.567274 \nL 197.233743 129.831201 \nL 198.161767 128.140314 \nL 198.80497 126.536729 \nL 199.127396 125.064644 \nL 199.098981 123.768142 \nL 198.697968 122.688532 \nL 197.913119 121.861434 \nL 196.745461 121.31395 \nL 195.209277 121.062216 \nL 193.332132 121.10979 \nL 191.153829 121.447171 \nL 188.724331 122.052575 \nL 186.100848 122.893913 \nL 183.344429 123.931751 \nL 177.675345 126.42344 \nL 172.157988 129.195049 \nL 167.121226 131.988284 \nL 162.759726 134.651478 \nL 159.149695 137.126742 \nL 156.282359 139.416071 \nL 154.098641 141.547894 \nL 152.516812 143.55418 \nL 151.451272 145.45895 \nL 150.823742 147.274814 \nL 150.568997 149.003809 \nL 150.637073 150.639801 \nL 150.993453 152.170864 \nL 151.618216 153.580982 \nL 152.504779 154.850859 \nL 153.658605 155.957925 \nL 155.095989 156.875657 \nL 156.842947 157.572291 \nL 158.934051 158.009091 \nL 161.4109 158.138277 \nL 164.31978 157.900775 \nL 167.707804 157.224198 \nL 171.616455 156.021749 \nL 176.071183 154.193418 \nL 178.503065 153.010956 \nL 181.065246 151.631764 \nL 183.747973 150.043528 \nL 186.536058 148.235895 \nL 189.407687 146.201695 \nL 192.333154 143.938516 \nL 195.273597 141.450587 \nL 198.179864 138.750966 \nL 200.991662 135.863932 \nL 203.63726 132.827383 \nL 206.034004 129.694953 \nL 208.089998 126.537355 \nL 209.707262 123.442439 \nL 210.78664 120.51327 \nL 211.234481 117.863651 \nL 210.970841 115.610729 \nL 209.938536 113.86487 \nL 208.11181 112.717628 \nL 205.50313 112.22956 \nL 202.166408 112.42027 \nL 198.195446 113.263156 \nL 193.717166 114.686733 \nL 188.880425 116.582894 \nL 183.842282 118.82072 \nL 173.75065 123.781488 \nL 156.358315 132.897927 \nL 146.992239 137.918223 \nL 142.377434 140.560335 \nL 138.804341 142.85702 \nL 136.032419 144.957132 \nL 133.842486 146.956376 \nL 132.047271 148.90527 \nL 129.764281 151.77023 \nL 126.884947 155.452924 \nL 125.318631 157.200825 \nL 123.574244 158.859268 \nL 121.590688 160.403411 \nL 119.310979 161.802506 \nL 116.681263 163.016516 \nL 113.651725 163.991592 \nL 111.973334 164.367569 \nL 110.18 164.654489 \nL 108.268717 164.839122 \nL 106.238045 164.906226 \nL 104.088607 164.838384 \nL 101.823679 164.615891 \nL 99.449907 164.216725 \nL 96.978108 163.61667 \nL 94.424199 162.78963 \nL 91.810166 161.70821 \nL 89.165072 160.344665 \nL 86.525978 158.672272 \nL 83.938682 156.667268 \nL 81.458104 154.311328 \nL 79.148089 151.594628 \nL 77.080414 148.5194 \nL 75.33276 145.103693 \nL 73.985452 141.384953 \nL 73.116919 137.422832 \nL 72.798016 133.30048 \nL 73.085609 129.123541 \nL 74.016148 125.016237 \nL 75.600157 121.11432 \nL 77.818693 117.555208 \nL 80.622619 114.466394 \nL 83.935172 111.953796 \nL 87.657671 110.091948 \nL 91.67753 108.917881 \nL 95.877346 108.429613 \nL 100.143667 108.589401 \nL 104.374191 109.330841 \nL 108.482698 110.568209 \nL 112.401516 112.206291 \nL 116.081779 114.149206 \nL 119.492056 116.307219 \nL 122.615986 118.60124 \nL 125.449462 120.96504 \nL 127.997814 123.34571 \nL 130.273246 125.702852 \nL 132.292658 128.007038 \nL 134.075865 130.237987 \nL 137.019627 134.433798 \nL 139.277239 138.245096 \nL 141.010501 141.676269 \nL 142.930126 146.172338 \nL 146.818175 156.00707 \nL 147.715711 157.602319 \nL 148.725965 159.008451 \nL 149.889324 160.225118 \nL 151.247364 161.245031 \nL 152.844798 162.053216 \nL 154.731018 162.625791 \nL 156.96116 162.928221 \nL 159.596461 162.913004 \nL 162.703463 162.516831 \nL 166.351316 161.657535 \nL 170.605942 160.231472 \nL 172.977989 159.267401 \nL 175.519194 158.112874 \nL 178.230823 156.749383 \nL 181.110387 155.158043 \nL 184.150428 153.320365 \nL 187.337069 151.219368 \nL 190.648335 148.841122 \nL 194.052274 146.176797 \nL 197.504982 143.225264 \nL 200.948627 139.996287 \nL 204.30976 136.514193 \nL 207.498238 132.821836 \nL 210.407212 128.984391 \nL 212.914756 125.09234 \nL 214.887799 121.262644 \nL 216.188851 117.636916 \nL 216.685882 114.375369 \nL 216.26503 111.645627 \nL 214.845162 109.606392 \nL 212.392128 108.387289 \nL 208.929921 108.068139 \nL 204.545508 108.662306 \nL 199.384988 110.109052 \nL 193.640497 112.278437 \nL 187.529885 114.988898 \nL 181.273291 118.033774 \nL 169.090644 124.343491 \nL 153.492088 132.408484 \nL 145.410325 136.338519 \nL 130.358793 143.498699 \nL 127.365706 145.203151 \nL 124.922452 146.806607 \nL 121.844586 149.106871 \nL 118.059451 151.950311 \nL 116.066486 153.213516 \nL 113.909407 154.317198 \nL 111.538878 155.211994 \nL 108.923111 155.840398 \nL 106.049512 156.135257 \nL 104.518301 156.133732 \nL 102.928803 156.018867 \nL 101.287081 155.779445 \nL 99.601583 155.403883 \nL 97.883442 154.880486 \nL 96.146759 154.197808 \nL 94.408857 153.345134 \nL 92.690474 152.3131 \nL 91.015851 151.094469 \nL 89.41267 149.68502 \nL 87.911789 148.084577 \nL 86.546716 146.298081 \nL 85.352797 144.33669 \nL 84.366068 142.218713 \nL 83.621791 139.970357 \nL 83.152688 137.626023 \nL 82.986996 135.228077 \nL 83.146457 132.82593 \nL 83.644459 130.474384 \nL 84.48449 128.231222 \nL 85.659179 126.154241 \nL 87.150049 124.29791 \nL 88.928089 122.710063 \nL 90.95513 121.428911 \nL 93.185901 120.480843 \nL 95.570555 119.879185 \nL 98.057381 119.624103 \nL 100.595428 119.703573 \nL 103.136801 120.095217 \nL 105.63844 120.768743 \nL 108.063319 121.688634 \nL 110.381064 122.816767 \nL 112.568055 124.114708 \nL 114.607121 125.545595 \nL 116.486938 127.075456 \nL 118.201271 128.674059 \nL 119.748126 130.31531 \nL 121.128906 131.977295 \nL 122.347621 133.642098 \nL 123.410164 135.295446 \nL 125.096128 138.526222 \nL 126.25055 141.611247 \nL 126.937393 144.522334 \nL 127.213225 147.250261 \nL 127.12317 149.796557 \nL 126.699216 152.167749 \nL 125.959988 154.371408 \nL 124.911338 156.413303 \nL 123.547352 158.295105 \nL 121.851643 160.012227 \nL 119.79892 161.551393 \nL 117.35708 162.887614 \nL 114.490264 163.980329 \nL 112.886364 164.417254 \nL 111.163556 164.768504 \nL 109.318831 165.022292 \nL 107.350364 165.16479 \nL 105.257987 165.179952 \nL 103.043766 165.049359 \nL 100.712669 164.752159 \nL 98.273361 164.265081 \nL 95.739103 163.562652 \nL 93.12874 162.617602 \nL 90.467736 161.401638 \nL 87.789206 159.886572 \nL 85.134815 158.045991 \nL 82.555433 155.857479 \nL 80.111295 153.305456 \nL 77.871514 150.384596 \nL 75.912607 147.103637 \nL 74.31588 143.489278 \nL 73.163465 139.589643 \nL 72.533076 135.476606 \nL 72.491697 131.246177 \nL 73.088834 127.016175 \nL 74.350145 122.920682 \nL 76.272544 119.101292 \nL 78.821796 115.695842 \nL 81.933374 112.826109 \nL 85.516726 110.58636 \nL 89.46251 109.034797 \nL 93.651637 108.189454 \nL 97.964718 108.029135 \nL 102.290473 108.498967 \nL 106.532061 109.519167 \nL 110.61087 110.99525 \nL 114.467819 112.827894 \nL 118.062654 114.921098 \nL 121.371877 117.188035 \nL 124.385971 119.554405 \nL 127.106433 121.959689 \nL 129.542978 124.356829 \nL 131.711081 126.710896 \nL 133.629964 128.997274 \nL 136.806513 133.308434 \nL 139.249796 137.228809 \nL 141.12924 140.755638 \nL 143.212587 145.366033 \nL 146.963083 154.485224 \nL 147.883803 156.187539 \nL 148.901797 157.688206 \nL 150.060525 158.989825 \nL 151.403205 160.087715 \nL 152.975019 160.969293 \nL 154.824863 161.613048 \nL 157.006538 161.986975 \nL 159.579231 162.046506 \nL 162.606854 161.731942 \nL 166.155566 160.965681 \nL 170.288348 159.649867 \nL 172.590233 158.74955 \nL 175.054934 157.665842 \nL 177.683803 156.381285 \nL 180.474706 154.878038 \nL 183.420907 153.13859 \nL 186.50973 151.146769 \nL 189.721017 148.889133 \nL 193.025401 146.356834 \nL 196.382464 143.54797 \nL 199.738917 140.470471 \nL 203.026989 137.145457 \nL 206.163349 133.610853 \nL 209.04895 129.924949 \nL 211.570299 126.169268 \nL 213.602755 122.449961 \nL 215.016314 118.896623 \nL 215.684232 115.657474 \nL 215.494347 112.889974 \nL 214.36226 110.746687 \nL 212.244751 109.357392 \nL 209.150873 108.809914 \nL 205.147968 109.13367 \nL 200.360175 110.290343 \nL 194.958492 112.175344 \nL 189.1436 114.630939 \nL 183.124717 117.468693 \nL 171.234641 123.538833 \nL 155.715168 131.612616 \nL 144.137904 137.327241 \nL 134.057315 142.262457 \nL 130.640757 144.163917 \nL 127.925223 145.911688 \nL 125.677033 147.583199 \nL 118.10154 153.691618 \nL 116.016287 154.95906 \nL 113.712366 156.043916 \nL 111.14749 156.893107 \nL 108.295423 157.443148 \nL 105.149432 157.617939 \nL 103.470934 157.53705 \nL 101.728581 157.327577 \nL 99.930274 156.976352 \nL 98.086796 156.469755 \nL 96.212174 155.794068 \nL 94.324056 154.935967 \nL 92.444009 153.883184 \nL 90.597739 152.625346 \nL 88.815141 151.155 \nL 87.130135 149.468822 \nL 85.580231 147.568947 \nL 84.205702 145.464352 \nL 83.048379 143.172182 \nL 82.150002 140.718843 \nL 81.550181 138.14066 \nL 81.284029 135.483914 \nL 81.379663 132.804028 \nL 81.855761 130.163821 \nL 82.719498 127.630753 \nL 83.965105 125.273322 \nL 85.57336 123.156926 \nL 87.512087 121.33957 \nL 89.737744 119.868001 \nL 92.197924 118.774696 \nL 94.834505 118.076166 \nL 97.587053 117.772726 \nL 100.396143 117.849683 \nL 103.206217 118.279704 \nL 105.967781 119.025955 \nL 108.63884 120.04555 \nL 111.185551 121.292873 \nL 113.582252 122.722453 \nL 115.810969 124.29123 \nL 117.860597 125.96011 \nL 119.725893 127.694873 \nL 121.406409 129.466513 \nL 122.905453 131.251181 \nL 124.229137 133.029827 \nL 125.385539 134.787682 \nL 127.234489 138.199798 \nL 128.532294 141.432667 \nL 129.357061 144.464208 \nL 129.777204 147.292138 \nL 129.847596 149.924945 \nL 129.608268 152.375965 \nL 129.084554 154.659625 \nL 128.28795 156.788986 \nL 127.21723 158.774025 \nL 125.85956 160.620186 \nL 124.191557 162.326811 \nL 122.18037 163.885156 \nL 119.785023 165.275643 \nL 116.958464 166.46403 \nL 113.650998 167.396191 \nL 111.802042 167.74219 \nL 109.816152 167.991302 \nL 107.689624 168.127893 \nL 105.420494 168.133591 \nL 103.009193 167.987037 \nL 100.459366 167.663689 \nL 97.778842 167.135758 \nL 94.980764 166.372307 \nL 92.084869 165.339654 \nL 89.118891 164.002137 \nL 86.119977 162.32343 \nL 83.136027 160.268507 \nL 80.226736 157.80644 \nL 77.464088 154.914066 \nL 74.931955 151.580543 \nL 72.724422 147.812609 \nL 70.94247 143.64008 \nL 69.688754 139.120894 \nL 69.060462 134.344604 \nL 69.140624 129.433133 \nL 69.988729 124.537488 \nL 71.631978 119.829745 \nL 74.058838 115.49025 \nL 77.216478 111.691334 \nL 81.013081 108.579841 \nL 85.325134 106.261713 \nL 90.008631 104.791561 \nL 94.912237 104.169405 \nL 99.890091 104.34489 \nL 104.812244 105.22767 \nL 109.571512 106.701374 \nL 114.086516 108.638252 \nL 118.301397 110.911984 \nL 122.183236 113.40714 \nL 125.718216 116.024931 \nL 128.907411 118.685509 \nL 131.762811 121.327712 \nL 134.303893 123.9072 \nL 136.554851 126.393748 \nL 140.294571 131.020561 \nL 143.20223 135.144878 \nL 145.486577 138.775575 \nL 151.643563 149.199644 \nL 153.026997 150.970736 \nL 154.516788 152.452073 \nL 156.176648 153.646831 \nL 158.0646 154.546821 \nL 160.235349 155.132016 \nL 162.741364 155.369881 \nL 165.632361 155.214646 \nL 168.952653 154.606906 \nL 172.735582 153.474285 \nL 176.993993 151.734507 \nL 179.296414 150.610237 \nL 181.705514 149.30295 \nL 184.20957 147.804166 \nL 186.791711 146.107714 \nL 189.428967 144.210879 \nL 192.091299 142.115755 \nL 194.740725 139.830851 \nL 197.33061 137.372826 \nL 199.80529 134.768292 \nL 202.100243 132.055482 \nL 204.143003 129.285508 \nL 205.855063 126.522838 \nL 207.154948 123.844618 \nL 207.962592 121.338333 \nL 208.20491 119.097579 \nL 207.822277 117.215754 \nL 206.775281 115.778063 \nL 205.050831 114.852568 \nL 202.666532 114.48168 \nL 199.67226 114.675648 \nL 196.148221 115.409713 \nL 192.199397 116.625853 \nL 187.947035 118.239279 \nL 183.518514 120.148474 \nL 174.614136 124.434203 \nL 166.291175 128.752284 \nL 155.870808 134.407834 \nL 150.475084 137.503381 \nL 146.220275 140.164921 \nL 142.927104 142.530719 \nL 140.397736 144.718231 \nL 138.445476 146.807444 \nL 136.907455 148.843514 \nL 135.647713 150.846139 \nL 133.540648 154.758205 \nL 131.461913 158.501372 \nL 130.281876 160.288174 \nL 128.939519 162.007123 \nL 127.385182 163.648834 \nL 125.56757 165.20129 \nL 123.431986 166.647338 \nL 120.919383 167.961219 \nL 117.966587 169.103837 \nL 114.508314 170.016372 \nL 112.569772 170.360562 \nL 110.48209 170.611887 \nL 108.239445 170.753369 \nL 105.83774 170.764877 \nL 103.275323 170.622756 \nL 100.553894 170.299513 \nL 97.679618 169.763594 \nL 94.664459 168.979357 \nL 91.527723 167.907348 \nL 88.297794 166.505008 \nL 85.013983 164.727995 \nL 81.728327 162.532367 \nL 78.507153 159.877748 \nL 75.432023 156.731713 \nL 72.599673 153.07542 \nL 70.120353 148.910317 \nL 68.114099 144.265421 \nL 66.704442 139.204266 \nL 66.009483 133.830081 \nL 66.130712 128.287417 \nL 67.140717 122.758489 \nL 69.071632 117.452897 \nL 71.90666 112.590783 \nL 75.576968 108.381009 \nL 79.965316 104.997942 \nL 84.916504 102.56135 \nL 90.252839 101.123761 \nL 95.791713 100.668017 \nL 101.361937 101.115122 \nL 106.816178 102.339939 \nL 112.03813 104.190707 \nL 116.944526 106.508215 \nL 121.483089 109.141381 \nL 125.627988 111.957741 \nL 129.37428 114.848736 \nL 132.732391 117.730697 \nL 135.723289 120.543005 \nL 138.374577 123.244624 \nL 142.784979 128.225874 \nL 146.223686 132.592976 \nL 150.093298 138.036854 \nL 153.898957 143.524591 \nL 155.569486 145.630556 \nL 157.239623 147.362008 \nL 158.99847 148.739808 \nL 160.91951 149.771109 \nL 163.064165 150.449804 \nL 165.483826 150.757082 \nL 168.220018 150.662207 \nL 171.302341 150.123958 \nL 174.743674 149.093355 \nL 178.532176 147.518834 \nL 182.619709 145.355302 \nL 184.74702 144.043797 \nL 186.906913 142.578767 \nL 189.076206 140.96404 \nL 191.226498 139.207839 \nL 193.323863 137.323757 \nL 195.328765 135.331731 \nL 197.196318 133.258883 \nL 198.876945 131.140099 \nL 200.317615 129.018175 \nL 201.463664 126.943347 \nL 202.261292 124.971973 \nL 202.66066 123.164304 \nL 202.619456 121.581266 \nL 202.106622 120.280365 \nL 201.10589 119.311086 \nL 199.618576 118.710253 \nL 197.665188 118.49809 \nL 195.285434 118.67565 \nL 192.536417 119.224222 \nL 189.48913 120.106945 \nL 186.223639 121.272528 \nL 182.823605 122.660469 \nL 175.940665 125.85053 \nL 169.397037 129.220038 \nL 163.566644 132.456455 \nL 158.631433 135.415548 \nL 154.622547 138.079408 \nL 151.475976 140.495873 \nL 149.080463 142.73063 \nL 147.310574 144.840629 \nL 146.04621 146.864621 \nL 145.182381 148.823448 \nL 144.632836 150.724308 \nL 144.330193 152.565637 \nL 144.224327 154.341128 \nL 144.361061 156.862635 \nL 144.796643 159.188257 \nL 145.24225 160.616178 \nL 145.816171 161.936707 \nL 146.529846 163.141186 \nL 147.401334 164.219536 \nL 148.45537 165.159241 \nL 149.72371 165.944113 \nL 151.24572 166.552738 \nL 153.069084 166.956539 \nL 155.250478 167.117311 \nL 157.855933 166.984109 \nL 160.960399 166.48946 \nL 164.645718 165.544963 \nL 168.995655 164.036818 \nL 174.085881 161.822561 \nL 176.925782 160.398311 \nL 179.965731 158.731837 \nL 183.202747 156.799136 \nL 186.627438 154.576675 \nL 190.222029 152.042919 \nL 193.958049 149.180498 \nL 197.793725 145.979127 \nL 201.671246 142.439346 \nL 205.514051 138.577148 \nL 209.2246 134.429291 \nL 212.683111 130.058963 \nL 215.748074 125.560992 \nL 218.259434 121.065499 \nL 220.045411 116.738203 \nL 220.933782 112.775509 \nL 220.767727 109.392404 \nL 219.42547 106.802278 \nL 216.841164 105.189493 \nL 213.023004 104.678648 \nL 208.063544 105.307214 \nL 202.137677 107.009973 \nL 195.486419 109.621984 \nL 188.388712 112.901949 \nL 181.127587 116.570891 \nL 154.76945 130.418922 \nL 149.447363 133.008757 \nL 140.491687 137.004228 \nL 133.54769 139.742801 \nL 118.274616 145.405962 \nL 110.212934 148.86671 \nL 108.263622 149.395994 \nL 106.235254 149.709049 \nL 104.1192 149.759523 \nL 101.929856 149.501607 \nL 99.704982 148.892948 \nL 97.506252 147.899158 \nL 95.418916 146.500336 \nL 94.449553 145.648835 \nL 93.549265 144.699514 \nL 92.733618 143.657885 \nL 92.018462 142.532026 \nL 91.419472 141.332768 \nL 90.951622 140.073792 \nL 90.62859 138.771599 \nL 90.462152 137.445307 \nL 90.461565 136.116314 \nL 90.633008 134.807754 \nL 90.979117 133.543807 \nL 91.498645 132.348856 \nL 92.186303 131.246572 \nL 93.032787 130.258951 \nL 94.025021 129.405415 \nL 95.146586 128.702009 \nL 96.37832 128.160802 \nL 97.699032 127.789492 \nL 99.086303 127.591292 \nL 100.517283 127.56505 \nL 101.969449 127.705592 \nL 103.421283 128.004271 \nL 104.852816 128.449622 \nL 106.246043 129.028071 \nL 107.5852 129.724679 \nL 108.856881 130.523799 \nL 111.155996 132.366972 \nL 113.081629 134.438381 \nL 114.602393 136.634453 \nL 115.709498 138.87132 \nL 116.408884 141.084393 \nL 116.714459 143.225362 \nL 116.642951 145.258175 \nL 116.21043 147.154832 \nL 115.430387 148.89153 \nL 114.313132 150.445206 \nL 112.866399 151.790538 \nL 111.097042 152.897287 \nL 109.013857 153.728044 \nL 106.631617 154.236498 \nL 103.976421 154.366579 \nL 102.559336 154.269655 \nL 101.092371 154.053121 \nL 99.585127 153.707939 \nL 98.049321 153.225111 \nL 96.499018 152.596013 \nL 94.950834 151.812839 \nL 93.424048 150.869134 \nL 91.940638 149.76043 \nL 90.525179 148.484985 \nL 89.204572 147.044573 \nL 88.007564 145.445312 \nL 86.964049 143.698463 \nL 86.104127 141.821092 \nL 85.456911 139.836537 \nL 85.049166 137.774556 \nL 84.903798 135.67103 \nL 85.038343 133.567196 \nL 85.463559 131.508314 \nL 86.182301 129.541822 \nL 87.188792 127.715101 \nL 88.468424 126.072981 \nL 89.998152 124.655232 \nL 91.747483 123.494329 \nL 93.679966 122.613724 \nL 95.75505 122.026806 \nL 97.930127 121.736634 \nL 100.162548 121.736473 \nL 102.411464 122.011006 \nL 104.639325 122.538015 \nL 106.81297 123.290322 \nL 108.904302 124.23779 \nL 110.890545 125.349142 \nL 112.754177 126.593532 \nL 114.482601 127.941762 \nL 116.067634 129.367107 \nL 117.504902 130.845825 \nL 118.79319 132.357367 \nL 119.933806 133.884382 \nL 120.929986 135.412531 \nL 122.508439 138.428308 \nL 123.574211 141.339096 \nL 124.176563 144.107463 \nL 124.360709 146.714665 \nL 124.163361 149.153105 \nL 123.610552 151.420643 \nL 122.717009 153.516381 \nL 121.486532 155.437335 \nL 119.913073 157.175613 \nL 117.982427 158.71564 \nL 115.674627 160.031151 \nL 112.967402 161.081717 \nL 111.457606 161.490159 \nL 109.8412 161.808741 \nL 108.117377 162.026592 \nL 106.286597 162.131191 \nL 104.351016 162.10827 \nL 102.314981 161.941781 \nL 100.185604 161.613939 \nL 97.973403 161.105369 \nL 95.693005 160.395424 \nL 93.363877 159.462691 \nL 91.011055 158.285778 \nL 88.665796 156.844407 \nL 86.36607 155.120882 \nL 84.156779 153.10195 \nL 82.089556 150.781042 \nL 80.222004 148.160803 \nL 78.61619 145.255766 \nL 77.336324 142.094894 \nL 76.445537 138.723587 \nL 76.001883 135.204697 \nL 76.053791 131.618077 \nL 76.63538 128.058199 \nL 77.762282 124.629725 \nL 79.428566 121.441008 \nL 81.605445 118.596274 \nL 84.242105 116.187265 \nL 87.268773 114.285622 \nL 90.601664 112.937216 \nL 94.149144 112.159279 \nL 97.818224 111.940803 \nL 101.520517 112.245846 \nL 105.176967 113.019102 \nL 108.721003 114.192609 \nL 112.100042 115.692488 \nL 115.27557 117.444896 \nL 118.222164 119.38062 \nL 120.925831 121.438085 \nL 123.382044 123.564968 \nL 125.593729 125.718577 \nL 127.569395 127.865422 \nL 129.321496 129.980245 \nL 130.865061 132.044829 \nL 133.393222 135.978051 \nL 135.289649 139.614317 \nL 136.683307 142.946537 \nL 137.687244 145.99044 \nL 138.395329 148.771861 \nL 139.061658 152.514697 \nL 139.409627 155.823678 \nL 139.57225 159.693408 \nL 139.484232 163.85116 \nL 139.161832 167.430927 \nL 138.724283 169.971225 \nL 138.072348 172.285599 \nL 137.389112 173.90441 \nL 136.477458 175.446804 \nL 135.259005 176.933881 \nL 134.224948 177.904271 \nL 132.967258 178.863459 \nL 131.436344 179.814142 \nL 129.571823 180.755462 \nL 127.300631 181.680402 \nL 124.535213 182.571607 \nL 121.172299 183.394795 \nL 117.093204 184.08854 \nL 112.167514 184.548796 \nL 109.345573 184.6418 \nL 106.263489 184.606251 \nL 102.908319 184.405654 \nL 99.270991 183.995071 \nL 95.348409 183.319817 \nL 91.1462 182.314275 \nL 86.682244 180.901085 \nL 81.991037 178.991075 \nL 77.128892 176.484509 \nL 72.179758 173.274404 \nL 67.261186 169.252891 \nL 62.529475 164.321657 \nL 58.182484 158.407414 \nL 54.457967 151.482576 \nL 51.624763 143.590091 \nL 49.964439 134.868948 \nL 49.74211 125.574131 \nL 51.168137 116.082125 \nL 54.356558 106.872753 \nL 59.290317 98.481867 \nL 65.805286 91.428157 \nL 73.601878 86.128639 \nL 82.285045 82.826097 \nL 91.422998 81.551216 \nL 100.608132 82.131303 \nL 109.503971 84.240502 \nL 117.86896 87.472662 \nL 125.557431 91.413721 \nL 132.504751 95.696202 \nL 138.705688 100.028962 \nL 144.193105 104.204529 \nL 153.25145 111.618627 \nL 169.401998 125.246691 \nL 174.597082 129.270192 \nL 178.381424 132.131688 \nL 178.790986 132.7085 \nL 178.809864 133.027395 \nL 178.566174 133.481554 \nL 177.744935 134.284253 \nL 176.530135 135.510143 \nL 176.134887 136.159265 \nL 176.064381 136.563182 \nL 176.207229 136.862175 \nL 176.560859 137.030822 \nL 177.105143 137.050607 \nL 178.061809 136.830958 \nL 179.161573 136.3428 \nL 180.235552 135.643595 \nL 181.093166 134.839823 \nL 181.484577 134.254878 \nL 181.594176 133.759432 \nL 181.494601 133.509515 \nL 181.25577 133.341211 \nL 180.655072 133.262321 \nL 179.816093 133.400261 \nL 178.478053 133.892693 \nL 177.114998 134.648818 \nL 175.964589 135.537777 \nL 175.212788 136.421346 \nL 174.981411 137.003384 \nL 175.059373 137.463707 \nL 175.283026 137.68291 \nL 175.86176 137.855371 \nL 176.699142 137.818309 \nL 177.739578 137.558611 \nL 178.907291 137.07963 \nL 180.494643 136.145433 \nL 181.560131 135.292055 \nL 182.383672 134.396515 \nL 182.853406 133.558549 \nL 182.927322 133.083747 \nL 182.792933 132.709508 \nL 182.448614 132.458912 \nL 181.905369 132.347606 \nL 180.771774 132.454161 \nL 179.367881 132.872169 \nL 177.848412 133.547946 \nL 176.374481 134.403855 \nL 175.09025 135.354071 \nL 174.108127 136.316131 \nL 173.503567 137.216377 \nL 173.331555 137.750149 \nL 173.350354 138.210792 \nL 173.559234 138.582737 \nL 173.952884 138.851749 \nL 174.521714 139.005041 \nL 175.671893 138.994646 \nL 177.117694 138.673757 \nL 178.766127 138.035492 \nL 180.493763 137.100844 \nL 182.146089 135.927753 \nL 183.544107 134.617046 \nL 184.242577 133.735357 \nL 184.694255 132.904112 \nL 184.857881 132.174197 \nL 184.706885 131.593347 \nL 184.233762 131.20099 \nL 183.452689 131.023625 \nL 182.399591 131.071817 \nL 181.129379 131.339478 \nL 178.9694 132.103516 \nL 176.73158 133.199217 \nL 174.656451 134.493288 \nL 172.935561 135.859731 \nL 171.697776 137.193161 \nL 171.17773 138.02127 \nL 170.913591 138.775461 \nL 170.907391 139.436213 \nL 171.155855 139.985006 \nL 171.651592 140.403861 \nL 172.383672 140.675268 \nL 173.337594 140.78246 \nL 174.494661 140.710115 \nL 175.830849 140.44547 \nL 177.315263 139.979881 \nL 178.908404 139.310867 \nL 180.560513 138.44457 \nL 182.210398 137.398432 \nL 183.785305 136.203786 \nL 185.202451 134.90766 \nL 186.372829 133.573093 \nL 187.207704 132.276941 \nL 187.627645 131.104554 \nL 187.662353 130.591713 \nL 187.573175 130.141214 \nL 187.357516 129.761931 \nL 187.0152 129.461349 \nL 186.548614 129.245283 \nL 185.962745 129.117626 \nL 184.465561 129.132827 \nL 182.610212 129.497021 \nL 180.510005 130.171092 \nL 178.291036 131.095523 \nL 176.07763 132.201603 \nL 173.980294 133.421762 \nL 172.088139 134.696721 \nL 170.466108 135.978591 \nL 169.156164 137.230599 \nL 168.18097 138.424755 \nL 167.548648 139.538783 \nL 167.257478 140.553267 \nL 167.299882 141.449465 \nL 167.665351 142.207886 \nL 168.342226 142.807554 \nL 169.318374 143.225805 \nL 170.580843 143.438562 \nL 172.114544 143.421023 \nL 173.900055 143.14893 \nL 175.91059 142.600522 \nL 178.108247 141.759401 \nL 180.439799 140.618539 \nL 182.832513 139.185442 \nL 185.190832 137.488229 \nL 187.395247 135.581802 \nL 189.30502 133.552557 \nL 190.76655 131.5192 \nL 191.281307 130.545652 \nL 191.62857 129.626928 \nL 191.793338 128.782925 \nL 191.763656 128.032904 \nL 191.531384 127.394613 \nL 191.092851 126.883399 \nL 190.449334 126.5114 \nL 189.607327 126.286846 \nL 188.578521 126.213596 \nL 187.379507 126.29095 \nL 186.031191 126.513727 \nL 182.986685 127.355352 \nL 179.663137 128.62961 \nL 176.283239 130.203084 \nL 173.0441 131.94619 \nL 170.098287 133.752969 \nL 167.547755 135.548645 \nL 165.448039 137.287051 \nL 163.818193 138.942665 \nL 162.652425 140.501621 \nL 161.930747 141.954409 \nL 161.62738 143.290993 \nL 161.716675 144.498186 \nL 162.176756 145.558503 \nL 162.991353 146.449844 \nL 164.150165 147.14552 \nL 165.648086 147.614402 \nL 167.483385 147.821116 \nL 169.654851 147.726503 \nL 172.157747 147.288606 \nL 174.978351 146.464762 \nL 178.086837 145.215428 \nL 181.428469 143.51061 \nL 184.913488 141.339635 \nL 188.406914 138.724635 \nL 191.72095 135.736911 \nL 193.237167 134.143064 \nL 194.614308 132.513031 \nL 195.815829 130.875674 \nL 196.804355 129.264312 \nL 197.543117 127.715981 \nL 197.997743 126.270195 \nL 198.138248 124.967236 \nL 197.941161 123.845997 \nL 197.39156 122.941528 \nL 196.484812 122.282533 \nL 195.22777 121.889043 \nL 193.639234 121.770637 \nL 191.74953 121.925506 \nL 189.599158 122.340536 \nL 187.236646 122.992414 \nL 184.715785 123.849756 \nL 179.42231 126.0317 \nL 174.142133 128.582215 \nL 169.215783 131.241025 \nL 164.866999 133.835211 \nL 161.206015 136.280522 \nL 158.254651 138.556966 \nL 155.977409 140.678682 \nL 154.3088 142.670283 \nL 153.17337 144.553028 \nL 152.498539 146.339108 \nL 152.221832 148.030878 \nL 152.29428 149.622326 \nL 152.681429 151.101001 \nL 153.363013 152.449563 \nL 154.331986 153.646601 \nL 155.593288 154.666661 \nL 157.162535 155.479592 \nL 159.064596 156.049346 \nL 161.3319 156.332364 \nL 164.002096 156.275752 \nL 167.114524 155.815616 \nL 170.704645 154.876105 \nL 174.795347 153.370252 \nL 177.028988 152.375705 \nL 179.383707 151.204392 \nL 181.851959 149.845299 \nL 184.42182 148.288848 \nL 187.076017 146.527841 \nL 189.790886 144.558662 \nL 192.535323 142.382731 \nL 195.269791 140.008215 \nL 197.945522 137.451939 \nL 200.504051 134.741346 \nL 202.877353 131.916355 \nL 204.988755 129.030782 \nL 206.754941 126.152949 \nL 208.089258 123.364973 \nL 208.906437 120.760294 \nL 209.128676 118.439031 \nL 208.69273 116.501048 \nL 207.557317 115.037113 \nL 205.709789 114.119015 \nL 203.170855 113.790152 \nL 199.996134 114.058522 \nL 196.273766 114.893817 \nL 192.118003 116.22981 \nL 187.659606 117.971977 \nL 183.034594 120.008963 \nL 173.791118 124.515478 \nL 161.350601 131.042897 \nL 151.692877 136.329904 \nL 146.831883 139.176216 \nL 143.046976 141.646254 \nL 140.129023 143.882196 \nL 137.872686 145.987625 \nL 136.09513 148.025001 \nL 134.641896 150.024636 \nL 132.799286 152.969917 \nL 130.479176 156.76628 \nL 128.528394 159.469172 \nL 127.017123 161.179587 \nL 125.273812 162.800223 \nL 123.243866 164.312619 \nL 120.870787 165.691268 \nL 118.095905 166.899455 \nL 114.859803 167.883738 \nL 113.050932 168.268921 \nL 111.106307 168.566823 \nL 109.020693 168.762619 \nL 106.790347 168.838832 \nL 104.413603 168.775044 \nL 101.89162 168.547616 \nL 99.229293 168.12952 \nL 96.436335 167.490292 \nL 93.528534 166.596244 \nL 90.529173 165.410982 \nL 87.470535 163.896404 \nL 84.395415 162.01434 \nL 81.358469 159.728959 \nL 78.427156 157.010103 \nL 75.681939 153.837597 \nL 73.215391 150.206484 \nL 71.129748 146.132855 \nL 69.53252 141.659699 \nL 68.530029 136.861808 \nL 68.218936 131.848467 \nL 68.676434 126.762512 \nL 69.950266 121.774606 \nL 72.050249 117.072168 \nL 74.943116 112.843547 \nL 78.552212 109.259467 \nL 82.762724 106.454805 \nL 87.431863 104.514269 \nL 92.402328 103.464918 \nL 97.516583 103.276915 \nL 102.629483 103.871957 \nL 107.617479 105.136998 \nL 112.383609 106.94015 \nL 116.85858 109.145665 \nL 120.998832 111.625836 \nL 124.782784 114.268846 \nL 128.206348 116.982643 \nL 131.278481 119.6956 \nL 134.017264 122.355008 \nL 136.446675 124.92436 \nL 140.488419 129.709192 \nL 143.633694 133.967305 \nL 146.103905 137.701856 \nL 152.718096 148.2791 \nL 154.187597 150.036558 \nL 155.763412 151.486744 \nL 157.512154 152.633095 \nL 159.493293 153.467028 \nL 161.761414 153.967648 \nL 164.367002 154.101387 \nL 167.355389 153.82174 \nL 170.763328 153.069646 \nL 174.612378 151.775403 \nL 178.898178 149.863579 \nL 181.192639 148.653282 \nL 183.574668 147.26316 \nL 186.028519 145.688012 \nL 188.53294 143.925757 \nL 191.060357 141.978648 \nL 193.576106 139.854638 \nL 196.037835 137.568893 \nL 198.395212 135.145324 \nL 200.590065 132.618021 \nL 202.557176 130.032317 \nL 204.225895 127.445244 \nL 205.522752 124.924977 \nL 206.37514 122.548987 \nL 206.716037 120.400566 \nL 206.489511 118.563678 \nL 205.656524 117.116327 \nL 204.200321 116.123038 \nL 202.130521 115.62749 \nL 199.485019 115.646564 \nL 196.329029 116.167128 \nL 192.751101 117.146528 \nL 188.856458 118.517003 \nL 184.758631 120.193371 \nL 180.570677 122.082622 \nL 172.328988 126.145175 \nL 164.778827 130.125055 \nL 155.46404 135.320428 \nL 150.684367 138.215187 \nL 146.934953 140.759053 \nL 144.049451 143.066844 \nL 141.851008 145.231557 \nL 140.175339 147.314411 \nL 138.880444 149.348594 \nL 137.848719 151.347448 \nL 136.591961 154.280954 \nL 134.310811 159.848754 \nL 132.961994 162.448532 \nL 131.894141 164.106471 \nL 130.645127 165.701707 \nL 129.171762 167.231011 \nL 127.425727 168.688395 \nL 125.352136 170.062781 \nL 122.888554 171.334739 \nL 119.964824 172.471814 \nL 116.504339 173.421933 \nL 112.427854 174.104225 \nL 110.135018 174.308827 \nL 107.661717 174.396717 \nL 105.002138 174.343702 \nL 102.153338 174.120997 \nL 99.116406 173.694733 \nL 95.897933 173.025585 \nL 92.511791 172.068646 \nL 88.981247 170.773694 \nL 85.341353 169.086082 \nL 81.641513 166.948512 \nL 77.948049 164.304026 \nL 74.34636 161.100552 \nL 70.942211 157.297251 \nL 67.861405 152.872729 \nL 65.247034 147.834873 \nL 63.253439 142.231353 \nL 62.036292 136.159213 \nL 61.738793 129.771064 \nL 62.474969 123.275015 \nL 64.312288 116.925591 \nL 67.256992 111.004331 \nL 71.245876 105.791181 \nL 76.147617 101.530941 \nL 81.77463 98.401635 \nL 87.903629 96.492148 \nL 94.300634 95.794689 \nL 100.745018 96.213408 \nL 107.048045 97.586044 \nL 113.063394 99.71236 \nL 118.689711 102.382404 \nL 123.867042 105.399295 \nL 128.569713 108.593985 \nL 132.798035 111.831945 \nL 136.570462 115.013524 \nL 139.917065 118.070268 \nL 145.482587 123.657153 \nL 149.810861 128.451543 \nL 154.642303 134.215869 \nL 158.235485 138.516967 \nL 160.271286 140.7089 \nL 162.191755 142.433677 \nL 164.108078 143.733446 \nL 166.10495 144.633611 \nL 168.244774 145.145199 \nL 170.57016 145.267568 \nL 173.104534 144.991585 \nL 175.850676 144.303679 \nL 178.787283 143.19126 \nL 181.863804 141.650084 \nL 184.994384 139.693885 \nL 188.052398 137.366118 \nL 190.868149 134.752426 \nL 192.121258 133.379267 \nL 193.233323 131.990724 \nL 194.174767 130.612618 \nL 194.916262 129.273627 \nL 195.429959 128.004472 \nL 195.690899 126.836809 \nL 195.678529 125.801816 \nL 195.378186 124.92854 \nL 194.782442 124.242151 \nL 193.892143 123.76224 \nL 192.716996 123.501422 \nL 191.275609 123.464339 \nL 189.594919 123.647283 \nL 187.709013 124.038524 \nL 185.657449 124.619315 \nL 181.230706 126.249118 \nL 176.662068 128.312696 \nL 172.259826 130.590942 \nL 168.254784 132.913156 \nL 164.789137 135.172523 \nL 161.926435 137.318299 \nL 159.671921 139.337028 \nL 157.994377 141.233444 \nL 156.84454 143.016584 \nL 156.168483 144.691959 \nL 155.916249 146.25837 \nL 156.046777 147.707436 \nL 156.530216 149.024285 \nL 157.348533 150.188397 \nL 158.495065 151.174111 \nL 159.9734 151.950616 \nL 161.795722 152.481472 \nL 163.980586 152.723819 \nL 166.549848 152.627531 \nL 169.524302 152.134787 \nL 172.917399 151.180692 \nL 176.726208 149.696063 \nL 180.918836 147.613899 \nL 183.137181 146.331254 \nL 185.417789 144.8816 \nL 187.740528 143.263917 \nL 190.079805 141.481121 \nL 192.403979 139.541182 \nL 194.674905 137.458357 \nL 196.847767 135.2544 \nL 198.871276 132.95966 \nL 200.688415 130.613871 \nL 202.237834 128.266416 \nL 203.456046 125.975799 \nL 204.280466 123.808101 \nL 204.653231 121.834154 \nL 204.525636 120.12548 \nL 203.862799 118.749072 \nL 202.648012 117.761476 \nL 200.886142 117.202982 \nL 198.605398 117.092725 \nL 195.856949 117.425802 \nL 192.712202 118.17306 \nL 189.257936 119.283859 \nL 185.589907 120.691514 \nL 181.80586 122.320403 \nL 174.252252 125.939911 \nL 167.20248 129.622496 \nL 161.029014 133.048447 \nL 155.881503 136.101955 \nL 151.748522 138.803483 \nL 148.526186 141.232987 \nL 146.071181 143.477006 \nL 144.234208 145.603555 \nL 142.877915 147.656087 \nL 141.884634 149.656941 \nL 141.158163 151.613726 \nL 140.407014 154.462886 \nL 139.764693 158.072754 \nL 138.52736 165.972313 \nL 137.829979 168.691057 \nL 137.127621 170.591371 \nL 136.20639 172.392619 \nL 134.988976 174.113941 \nL 133.963447 175.226125 \nL 132.722851 176.315169 \nL 131.22041 177.383419 \nL 129.39948 178.429762 \nL 127.19185 179.447187 \nL 124.516179 180.418937 \nL 121.276975 181.31253 \nL 117.365012 182.070587 \nL 112.660796 182.597085 \nL 109.973565 182.728179 \nL 107.043975 182.737466 \nL 103.860159 182.59201 \nL 100.41368 182.251446 \nL 96.701345 181.666841 \nL 92.727585 180.779685 \nL 88.507477 179.521169 \nL 84.070482 177.812084 \nL 79.46489 175.563777 \nL 74.762829 172.680785 \nL 70.065433 169.065932 \nL 65.507492 164.628738 \nL 61.260366 159.297921 \nL 57.531461 153.03835 \nL 54.558188 145.871739 \nL 52.59425 137.898775 \nL 51.886913 129.318068 \nL 52.645885 120.435104 \nL 55.007603 111.65347 \nL 59.002215 103.442481 \nL 64.532994 96.281258 \nL 71.37686 90.587986 \nL 79.209469 86.651439 \nL 87.650252 84.584593 \nL 96.315687 84.31457 \nL 104.866544 85.610811 \nL 113.038551 88.140377 \nL 120.653001 91.531964 \nL 127.610686 95.43141 \nL 133.876069 99.538586 \nL 139.458591 103.623843 \nL 144.395745 107.528241 \nL 152.549985 114.450543 \nL 170.072167 129.887141 \nL 173.210423 132.267242 \nL 175.453396 133.64953 \nL 177.113145 134.362923 \nL 178.36784 134.632507 \nL 179.308199 134.619276 \nL 180.133802 134.368933 \nL 180.487617 134.052918 \nL 180.450384 133.873154 \nL 180.173514 133.796429 \nL 179.498553 133.897485 \nL 178.362695 134.350219 \nL 177.214745 135.066555 \nL 176.371144 135.872946 \nL 176.068736 136.455142 \nL 176.099036 136.796452 \nL 176.353681 137.02108 \nL 176.817724 137.104993 \nL 177.705755 136.973293 \nL 178.791443 136.561497 \nL 179.914134 135.910266 \nL 180.883564 135.110928 \nL 181.507507 134.300205 \nL 181.654239 133.780865 \nL 181.577134 133.513036 \nL 181.357364 133.326363 \nL 180.776343 133.221333 \nL 179.943997 133.337696 \nL 178.593283 133.812457 \nL 177.196204 134.565556 \nL 175.997754 135.465201 \nL 175.192585 136.37044 \nL 174.922482 136.974017 \nL 174.965915 137.458921 \nL 175.170017 137.695523 \nL 175.726103 137.894506 \nL 176.550466 137.882903 \nL 177.589158 137.645531 \nL 178.767782 137.183341 \nL 179.991624 136.518071 \nL 181.148236 135.696264 \nL 182.114427 134.790525 \nL 182.769051 133.8958 \nL 182.981106 133.35814 \nL 182.988431 132.9041 \nL 182.781083 132.561248 \nL 182.361511 132.350953 \nL 181.745223 132.286347 \nL 180.51583 132.46832 \nL 179.043525 132.958966 \nL 177.49044 133.696148 \nL 176.019136 134.597146 \nL 174.770252 135.574355 \nL 173.849691 136.545712 \nL 173.325455 137.438855 \nL 173.213906 137.959445 \nL 173.296517 138.400523 \nL 173.570904 138.746782 \nL 174.03023 138.984237 \nL 174.663423 139.100434 \nL 175.904272 139.025062 \nL 177.428325 138.630451 \nL 179.135339 137.91426 \nL 180.893371 136.90449 \nL 182.539028 135.668632 \nL 183.886124 134.31872 \nL 184.524565 133.429317 \nL 184.89644 132.607841 \nL 184.96353 131.906077 \nL 184.704248 131.370908 \nL 184.117722 131.039024 \nL 183.225742 130.932549 \nL 182.071907 131.05662 \nL 180.717862 131.399525 \nL 178.474043 132.264689 \nL 176.208196 133.438069 \nL 174.157429 134.782695 \nL 172.502979 136.174234 \nL 171.361153 137.511033 \nL 170.915753 138.331007 \nL 170.731552 139.069528 \nL 170.808449 139.707392 \nL 171.14153 140.226162 \nL 171.722096 140.607813 \nL 172.538053 140.834738 \nL 173.573678 140.890178 \nL 174.80878 140.75905 \nL 176.217377 140.429228 \nL 177.765999 139.89327 \nL 179.411858 139.150676 \nL 181.101172 138.21052 \nL 182.768186 137.094262 \nL 184.335381 135.838302 \nL 185.715639 134.495564 \nL 186.816914 133.135188 \nL 187.549754 131.839437 \nL 187.837303 130.697153 \nL 187.796293 130.210774 \nL 187.626537 129.794021 \nL 187.326835 129.455203 \nL 186.89859 129.201005 \nL 186.345883 129.036206 \nL 184.896581 128.983412 \nL 183.061433 129.292582 \nL 180.95292 129.928071 \nL 178.699456 130.831196 \nL 176.430077 131.931813 \nL 174.261278 133.159502 \nL 172.288293 134.451687 \nL 170.581455 135.757534 \nL 169.186916 137.038101 \nL 168.130213 138.264079 \nL 167.421164 139.412602 \nL 167.058831 140.464164 \nL 167.035828 141.40021 \nL 167.341536 142.201528 \nL 167.964159 142.847384 \nL 168.89162 143.315223 \nL 170.111398 143.580823 \nL 171.609373 143.618918 \nL 173.367758 143.404307 \nL 175.362141 142.91365 \nL 177.55778 142.128144 \nL 179.905294 141.037338 \nL 182.336211 139.644183 \nL 184.759134 137.971194 \nL 187.057761 136.066996 \nL 189.092431 134.011912 \nL 190.707138 131.920181 \nL 191.307066 130.904736 \nL 191.743487 129.93596 \nL 191.999687 129.03444 \nL 192.061706 128.220509 \nL 191.919178 127.513359 \nL 191.566067 126.930126 \nL 191.001277 126.484969 \nL 190.229029 126.188276 \nL 189.258998 126.046068 \nL 188.10613 126.059651 \nL 186.790153 126.225571 \nL 183.766921 126.979049 \nL 180.408939 128.202401 \nL 176.947823 129.75961 \nL 173.593993 131.513479 \nL 170.514185 133.348771 \nL 167.822677 135.182569 \nL 165.58406 136.963174 \nL 163.822959 138.66223 \nL 162.536159 140.26517 \nL 161.704054 141.76308 \nL 161.299846 143.147158 \nL 161.296136 144.405617 \nL 161.669089 145.522321 \nL 162.400631 146.476387 \nL 163.479105 147.242202 \nL 164.898734 147.789543 \nL 166.658044 148.083733 \nL 168.757283 148.085924 \nL 171.194693 147.753806 \nL 173.961421 147.043259 \nL 177.034779 145.911524 \nL 180.369689 144.3228 \nL 183.888491 142.257103 \nL 187.47005 139.723054 \nL 190.940309 136.774261 \nL 192.563651 135.177795 \nL 194.068285 133.527025 \nL 195.417613 131.848531 \nL 196.573316 130.173871 \nL 197.496632 128.539082 \nL 198.150018 126.983734 \nL 198.499105 125.549456 \nL 198.514876 124.277933 \nL 198.175893 123.208509 \nL 197.470379 122.375542 \nL 196.397868 121.805731 \nL 194.970215 121.515875 \nL 193.211739 121.511252 \nL 191.158386 121.785042 \nL 188.855966 122.318835 \nL 186.357561 123.084306 \nL 183.720456 124.045768 \nL 178.260948 126.395897 \nL 172.903261 129.05462 \nL 167.974204 131.768633 \nL 163.675805 134.381327 \nL 160.096059 136.825498 \nL 157.238426 139.09396 \nL 155.054376 141.2083 \nL 153.470323 143.196249 \nL 152.406524 145.079585 \nL 151.788733 146.869836 \nL 151.554435 148.568465 \nL 151.655518 150.168776 \nL 152.058804 151.658042 \nL 152.745431 153.019055 \nL 153.709744 154.230862 \nL 154.958024 155.268724 \nL 156.507223 156.103388 \nL 158.383662 156.699783 \nL 160.621515 157.015323 \nL 163.260738 156.997941 \nL 166.343867 156.584164 \nL 169.910913 155.697786 \nL 173.99117 154.25009 \nL 176.226973 153.285359 \nL 178.59053 152.143349 \nL 181.075841 150.811976 \nL 183.672696 149.280278 \nL 186.365685 147.539318 \nL 189.133116 145.583358 \nL 191.945868 143.411292 \nL 194.766286 141.0284 \nL 197.5472 138.448315 \nL 200.231247 135.695166 \nL 202.750707 132.805667 \nL 205.028109 129.83091 \nL 206.977889 126.837434 \nL 208.509389 123.907078 \nL 209.53138 121.135084 \nL 209.95812 118.625931 \nL 209.716725 116.486683 \nL 208.75518 114.817945 \nL 207.049993 113.703314 \nL 204.612141 113.198732 \nL 201.489941 113.323756 \nL 197.767753 114.056908 \nL 193.560209 115.33658 \nL 189.002543 117.067897 \nL 184.238611 119.134471 \nL 174.638932 123.784997 \nL 161.614938 130.588368 \nL 148.749208 137.585575 \nL 144.222774 140.266504 \nL 140.716666 142.614822 \nL 138.007931 144.768461 \nL 135.889407 146.819188 \nL 134.182023 148.81749 \nL 132.073833 151.757114 \nL 128.868216 156.477081 \nL 127.45678 158.267909 \nL 125.874147 159.980493 \nL 124.062593 161.596691 \nL 121.965923 163.093947 \nL 119.527991 164.442186 \nL 116.692646 165.59958 \nL 113.405629 166.507027 \nL 111.577388 166.842159 \nL 109.619293 167.081271 \nL 107.527864 167.208867 \nL 105.301449 167.206925 \nL 102.940839 167.054676 \nL 100.450041 166.728449 \nL 97.837179 166.201639 \nL 95.115551 165.444845 \nL 92.304806 164.426292 \nL 89.432225 163.112617 \nL 86.533992 161.470142 \nL 83.656384 159.466783 \nL 80.856649 157.074672 \nL 78.203349 154.273594 \nL 75.77588 151.055185 \nL 73.662808 147.427701 \nL 71.958697 143.420969 \nL 70.759263 139.090831 \nL 70.154797 134.522153 \nL 70.222268 129.829313 \nL 71.016826 125.153097 \nL 72.563947 120.653341 \nL 74.853612 116.497437 \nL 77.837926 112.845661 \nL 81.433069 109.835555 \nL 85.525674 107.567906 \nL 89.982746 106.097159 \nL 94.663447 105.42801 \nL 99.430745 105.518652 \nL 104.161126 106.28961 \nL 108.751216 107.636011 \nL 113.121016 109.440739 \nL 117.214114 111.586218 \nL 120.995676 113.963447 \nL 124.449184 116.477702 \nL 127.572671 119.051162 \nL 130.375068 121.623137 \nL 132.87298 124.14867 \nL 135.088015 126.596267 \nL 138.76892 131.18377 \nL 141.623672 135.309597 \nL 143.850808 138.972063 \nL 146.393294 143.669852 \nL 149.61714 149.721048 \nL 150.843432 151.617281 \nL 152.146531 153.245055 \nL 153.587788 154.611822 \nL 155.22338 155.714931 \nL 157.107155 156.54115 \nL 159.292541 157.06586 \nL 161.833325 157.251945 \nL 164.78294 157.048505 \nL 168.191687 156.389759 \nL 172.100988 155.194887 \nL 174.251519 154.367486 \nL 176.53341 153.370195 \nL 178.94395 152.190398 \nL 181.476889 150.81594 \nL 184.121525 149.235849 \nL 186.861676 147.441304 \nL 189.674549 145.426881 \nL 192.529569 143.192077 \nL 195.387228 140.74316 \nL 198.198101 138.09525 \nL 200.902182 135.274535 \nL 203.428792 132.320453 \nL 205.69731 129.287492 \nL 207.619049 126.246184 \nL 209.100557 123.282768 \nL 210.048525 120.496917 \nL 210.376303 117.997077 \nL 210.011697 115.893145 \nL 208.905325 114.286741 \nL 207.038411 113.260063 \nL 204.428565 112.864918 \nL 201.132121 113.114185 \nL 197.241999 113.97782 \nL 192.880885 115.384923 \nL 188.190581 117.231987 \nL 183.319293 119.395881 \nL 173.585605 124.172602 \nL 160.529179 131.011579 \nL 147.771569 137.926273 \nL 143.307895 140.562682 \nL 139.853034 142.87537 \nL 137.178872 145.002116 \nL 135.076384 147.032224 \nL 133.366293 149.013328 \nL 131.219896 151.928346 \nL 127.862835 156.595679 \nL 126.360033 158.356569 \nL 124.667803 160.030929 \nL 122.727899 161.597438 \nL 120.483922 163.029144 \nL 117.880353 164.289948 \nL 114.863277 165.32994 \nL 111.383465 166.079449 \nL 109.457415 166.316375 \nL 107.402781 166.44198 \nL 105.218357 166.438763 \nL 102.905369 166.286639 \nL 100.4682 165.96282 \nL 97.915251 165.441811 \nL 95.259934 164.695577 \nL 92.521779 163.693979 \nL 89.727611 162.40556 \nL 86.912724 160.798789 \nL 84.121941 158.843897 \nL 81.410392 156.515366 \nL 78.843746 153.795162 \nL 76.497702 150.676623 \nL 74.456333 147.16888 \nL 72.809107 143.301365 \nL 71.646307 139.127827 \nL 71.052944 134.729 \nL 71.101478 130.212943 \nL 71.844013 125.712116 \nL 73.30507 121.376631 \nL 75.47623 117.363738 \nL 78.313855 113.824471 \nL 81.74071 110.889349 \nL 85.651623 108.655471 \nL 89.922393 107.177477 \nL 94.420522 106.464017 \nL 99.015977 106.480216 \nL 103.590328 107.15533 \nL 108.043208 108.39368 \nL 112.295693 110.086658 \nL 116.290882 112.123721 \nL 119.992357 114.401042 \nL 123.381362 116.827205 \nL 126.453407 119.326076 \nL 129.214876 121.837371 \nL 131.679966 124.315649 \nL 133.868114 126.728395 \nL 135.801946 129.053732 \nL 139.004061 133.394473 \nL 141.480954 137.295563 \nL 143.413864 140.76837 \nL 145.631705 145.251356 \nL 148.493958 151.106097 \nL 149.602989 152.970555 \nL 150.791502 154.589911 \nL 152.114884 155.970723 \nL 153.624954 157.1105 \nL 155.372693 157.997155 \nL 157.410222 158.608123 \nL 159.791883 158.909065 \nL 162.574167 158.852205 \nL 165.813969 158.374542 \nL 169.564386 157.396428 \nL 173.866807 155.821595 \nL 176.231622 154.776494 \nL 178.737617 153.540528 \nL 181.379553 152.099551 \nL 184.147552 150.440411 \nL 187.025947 148.551962 \nL 189.991989 146.426402 \nL 193.014472 144.060973 \nL 196.052346 141.460029 \nL 199.053472 138.637432 \nL 201.953682 135.619194 \nL 204.676448 132.446112 \nL 207.133441 129.176115 \nL 209.226396 125.885733 \nL 210.850643 122.670103 \nL 211.900552 119.640741 \nL 212.277003 116.920411 \nL 211.896498 114.634727 \nL 210.701141 112.900663 \nL 208.668072 111.813108 \nL 205.816602 111.431456 \nL 202.211158 111.769063 \nL 197.958738 112.78829 \nL 193.200551 114.403263 \nL 188.09897 116.490283 \nL 182.822123 118.904133 \nL 172.357396 124.132982 \nL 145.21838 138.359287 \nL 140.608855 140.931397 \nL 137.040836 143.159709 \nL 134.261226 145.197669 \nL 132.043883 147.140192 \nL 130.197849 149.034848 \nL 123.804971 156.200713 \nL 121.97301 157.806863 \nL 119.905204 159.286642 \nL 117.545049 160.603859 \nL 114.841973 161.712377 \nL 111.752773 162.55178 \nL 110.052853 162.846528 \nL 108.245811 163.042263 \nL 106.330782 163.125111 \nL 104.308843 163.079375 \nL 102.183528 162.887471 \nL 99.961427 162.529929 \nL 97.652871 161.985548 \nL 95.272689 161.231679 \nL 92.841014 160.244781 \nL 90.384086 159.001248 \nL 87.93499 157.478592 \nL 85.534216 155.657063 \nL 83.229917 153.521705 \nL 81.077715 151.064865 \nL 79.139844 148.289047 \nL 77.483491 145.209927 \nL 76.178146 141.859218 \nL 75.291991 138.286935 \nL 74.887342 134.562507 \nL 75.015513 130.774159 \nL 75.711579 127.026067 \nL 76.989741 123.433094 \nL 78.840079 120.11329 \nL 81.227387 117.178846 \nL 84.092514 114.726664 \nL 87.356221 112.829994 \nL 90.925114 111.532499 \nL 94.698748 110.845742 \nL 98.576902 110.750377 \nL 102.466024 111.20066 \nL 106.284093 112.13119 \nL 109.963631 113.464691 \nL 113.452848 115.119525 \nL 116.715275 117.015998 \nL 119.728317 119.081031 \nL 122.481209 121.250965 \nL 124.972734 123.472834 \nL 127.209005 125.704382 \nL 129.20146 127.913246 \nL 130.965167 130.075702 \nL 132.517425 132.175219 \nL 135.061723 136.146889 \nL 136.982314 139.789483 \nL 138.416771 143.105101 \nL 139.484358 146.115839 \nL 140.608368 150.125985 \nL 141.587192 154.685139 \nL 143.052229 161.7824 \nL 143.703299 163.894666 \nL 144.514135 165.742388 \nL 145.177627 166.828618 \nL 145.967101 167.794958 \nL 146.910632 168.634569 \nL 148.041472 169.336376 \nL 149.399271 169.883984 \nL 151.03136 170.254155 \nL 152.994029 170.414699 \nL 155.353644 170.321641 \nL 158.187306 169.915513 \nL 161.582455 169.116679 \nL 165.634397 167.819875 \nL 170.439984 165.888593 \nL 173.153086 164.632769 \nL 176.084614 163.151168 \nL 179.239535 161.417104 \nL 182.618229 159.402554 \nL 186.214716 157.079137 \nL 190.014459 154.419612 \nL 193.991738 151.40011 \nL 198.106594 148.003238 \nL 202.301451 144.222243 \nL 206.497645 140.066319 \nL 210.592208 135.567004 \nL 214.455558 130.785318 \nL 217.930988 125.81893 \nL 220.837082 120.80793 \nL 222.974446 115.937242 \nL 224.137932 111.432957 \nL 224.135084 107.549844 \nL 222.810132 104.547991 \nL 220.070836 102.659 \nL 215.913125 102.045858 \nL 210.436615 102.765376 \nL 203.844274 104.744791 \nL 196.42293 107.783175 \nL 188.507111 111.581049 \nL 180.43485 115.791739 \nL 157.952333 127.860613 \nL 151.574368 131.058372 \nL 145.85556 133.731523 \nL 140.783925 135.905812 \nL 136.320762 137.638803 \nL 132.412842 139.001773 \nL 126.025546 140.901092 \nL 121.160759 142.089328 \nL 110.108358 144.40279 \nL 106.7556 144.969235 \nL 104.520662 145.083157 \nL 103.10037 144.965842 \nL 101.730887 144.670382 \nL 100.426923 144.183662 \nL 99.216548 143.501349 \nL 98.137888 142.630098 \nL 97.23529 141.589556 \nL 96.554736 140.413672 \nL 96.13859 139.150819 \nL 96.019983 137.862147 \nL 96.217539 136.617836 \nL 96.73131 135.491346 \nL 97.540766 134.552296 \nL 98.6054 133.859187 \nL 99.868001 133.453316 \nL 101.259991 133.35509 \nL 102.707847 133.563375 \nL 104.139392 134.057723 \nL 105.488984 134.80265 \nL 106.701022 135.752879 \nL 107.731612 136.858432 \nL 108.548666 138.068799 \nL 109.130877 139.335835 \nL 109.466075 140.615356 \nL 109.549425 141.867619 \nL 109.381808 143.057038 \nL 108.968599 144.151405 \nL 108.318979 145.120917 \nL 107.445826 145.937192 \nL 106.366176 146.572502 \nL 105.102209 146.99938 \nL 103.682652 147.190751 \nL 102.144443 147.120805 \nL 100.534372 146.766785 \nL 98.910339 146.111846 \nL 97.341688 145.148991 \nL 95.908012 143.885917 \nL 94.695809 142.350109 \nL 93.792533 140.593206 \nL 93.278139 138.693093 \nL 93.187215 137.720514 \nL 93.214913 136.752135 \nL 93.364581 135.803459 \nL 93.637298 134.890391 \nL 94.031721 134.028755 \nL 94.544026 133.233803 \nL 95.167941 132.519698 \nL 95.894891 131.899039 \nL 96.714235 131.382438 \nL 97.613579 130.978191 \nL 98.579176 130.692056 \nL 99.596344 130.527149 \nL 100.649904 130.483968 \nL 101.724626 130.560529 \nL 103.878664 131.054035 \nL 105.949201 131.952769 \nL 107.845397 133.182678 \nL 109.498388 134.661943 \nL 110.861089 136.310141 \nL 111.905422 138.054177 \nL 112.618262 139.831091 \nL 112.997132 141.588407 \nL 113.046384 143.282865 \nL 112.774227 144.878324 \nL 112.190771 146.343323 \nL 111.307115 147.648686 \nL 110.135426 148.765297 \nL 108.689992 149.662271 \nL 106.989172 150.305567 \nL 105.058201 150.657293 \nL 102.93277 150.675999 \nL 100.663124 150.318384 \nL 98.318225 149.542972 \nL 97.145101 148.987595 \nL 95.98918 148.316299 \nL 94.865549 147.527633 \nL 93.790664 146.621908 \nL 92.782174 145.601611 \nL 91.858625 144.4718 \nL 91.039071 143.240462 \nL 90.342563 141.918822 \nL 89.787542 140.521544 \nL 89.391141 139.06678 \nL 89.168429 137.576029 \nL 89.13164 136.073789 \nL 89.289442 134.586961 \nL 89.646306 133.144033 \nL 90.202025 131.774062 \nL 90.951465 130.505511 \nL 91.884537 129.36503 \nL 92.986477 128.376262 \nL 94.238351 127.558806 \nL 95.6178 126.927377 \nL 97.099964 126.491318 \nL 98.658472 126.25439 \nL 100.266479 126.214958 \nL 101.897624 126.366453 \nL 103.526867 126.698062 \nL 105.131185 127.195615 \nL 106.690045 127.842521 \nL 108.185725 128.620688 \nL 109.603423 129.511391 \nL 110.931249 130.496007 \nL 112.160068 131.556604 \nL 114.296491 133.839939 \nL 115.9847 136.244822 \nL 117.222138 138.680097 \nL 118.021935 141.07841 \nL 118.404849 143.391883 \nL 118.393286 145.586877 \nL 118.007365 147.63897 \nL 117.262738 149.52848 \nL 116.169858 151.236647 \nL 114.734455 152.742315 \nL 112.959107 154.01898 \nL 110.845909 155.032112 \nL 108.400396 155.736748 \nL 105.63694 156.075637 \nL 104.144596 156.086456 \nL 102.58583 155.978497 \nL 100.96837 155.741158 \nL 99.30212 155.363379 \nL 97.599505 154.833923 \nL 95.875776 154.141756 \nL 94.149308 153.276556 \nL 92.441797 152.229362 \nL 90.778362 150.993363 \nL 89.187488 149.564835 \nL 87.700746 147.944165 \nL 86.352258 146.136968 \nL 85.177859 144.155157 \nL 84.213923 142.017916 \nL 83.495853 139.752391 \nL 83.056303 137.39396 \nL 82.923213 134.985951 \nL 83.117784 132.578649 \nL 83.652631 130.227541 \nL 84.530288 127.990855 \nL 85.742304 125.926514 \nL 87.269064 124.088767 \nL 89.080453 122.524847 \nL 91.137328 121.272049 \nL 93.393636 120.355602 \nL 95.798996 119.787527 \nL 98.301435 119.566657 \nL 100.850004 119.679709 \nL 103.397037 120.103225 \nL 105.899891 120.806079 \nL 108.322085 121.75216 \nL 110.633863 122.903003 \nL 112.812245 124.220071 \nL 114.840679 125.666583 \nL 116.708418 127.208788 \nL 118.409737 128.816765 \nL 119.943075 130.464774 \nL 121.310198 132.131279 \nL 122.5154 133.798724 \nL 123.564794 135.453173 \nL 125.226146 138.682719 \nL 126.358726 141.763526 \nL 127.026654 144.668799 \nL 127.286302 147.39025 \nL 127.182399 149.929989 \nL 126.746443 152.294876 \nL 125.996541 154.492658 \nL 124.938028 156.529153 \nL 123.564499 158.406016 \nL 121.8591 160.118558 \nL 119.796095 161.653342 \nL 117.342973 162.985123 \nL 114.463502 164.072973 \nL 112.852662 164.507148 \nL 111.122469 164.855329 \nL 109.269897 165.105627 \nL 107.29312 165.244097 \nL 105.191992 165.254555 \nL 102.968621 165.118429 \nL 100.628051 164.814692 \nL 98.179069 164.319881 \nL 95.635102 163.608318 \nL 93.015217 162.652525 \nL 90.345182 161.424011 \nL 87.658481 159.894417 \nL 84.997232 158.037218 \nL 82.412829 155.829968 \nL 79.966111 153.257191 \nL 77.726816 150.313835 \nL 75.7721 147.009121 \nL 74.18384 143.370483 \nL 73.044607 139.447038 \nL 72.432335 135.31188 \nL 72.413938 131.062404 \nL 73.038481 126.817855 \nL 74.330803 122.713609 \nL 76.286644 118.892255 \nL 78.870331 115.492136 \nL 82.015774 112.63493 \nL 85.630911 110.414175 \nL 89.6051 108.886776 \nL 93.818308 108.069094 \nL 98.150613 107.938076 \nL 102.490619 108.43708 \nL 106.741725 109.484815 \nL 110.825828 110.985668 \nL 114.68451 112.839619 \nL 118.278244 114.950366 \nL 121.584243 117.231101 \nL 124.593646 119.607772 \nL 127.308518 122.020244 \nL 129.739042 124.421909 \nL 131.901071 126.778298 \nL 133.81412 129.065216 \nL 136.980551 133.37354 \nL 139.416641 137.287668 \nL 141.292356 140.806293 \nL 143.377002 145.402408 \nL 147.172528 154.475431 \nL 148.114707 156.163336 \nL 149.158911 157.647584 \nL 150.349142 158.930106 \nL 151.729272 160.005385 \nL 153.345228 160.859783 \nL 155.246685 161.470458 \nL 157.488185 161.803754 \nL 160.129455 161.813077 \nL 163.234497 161.436326 \nL 166.868698 160.593205 \nL 171.092752 159.183134 \nL 173.44108 158.228455 \nL 175.951621 157.085347 \nL 178.624516 155.73638 \nL 181.456079 154.163982 \nL 184.437618 152.351245 \nL 187.554036 150.283048 \nL 190.782251 147.947584 \nL 194.089441 145.338369 \nL 197.431232 142.456738 \nL 200.749957 139.314867 \nL 203.973227 135.939175 \nL 207.013146 132.373915 \nL 209.766608 128.68448 \nL 212.117203 124.959808 \nL 213.939256 121.312978 \nL 215.104484 117.878898 \nL 215.491429 114.808106 \nL 214.997319 112.2559 \nL 213.551309 110.367088 \nL 211.127155 109.257666 \nL 207.752702 108.996481 \nL 203.513528 109.591013 \nL 198.5487 110.981477 \nL 193.038487 113.046078 \nL 187.185809 115.617282 \nL 181.195206 118.505611 \nL 169.515962 124.515778 \nL 154.496178 132.309315 \nL 143.400497 137.77973 \nL 135.736804 141.54292 \nL 132.038505 143.543327 \nL 129.128222 145.35048 \nL 126.758438 147.062516 \nL 123.78392 149.535801 \nL 120.132225 152.639766 \nL 118.201631 154.053534 \nL 116.098845 155.326728 \nL 113.767625 156.414268 \nL 111.166307 157.262534 \nL 108.268928 157.806973 \nL 106.706267 157.941494 \nL 105.06901 157.96972 \nL 103.36049 157.879609 \nL 101.586259 157.658263 \nL 99.754451 157.292052 \nL 97.876165 156.766851 \nL 95.965881 156.068412 \nL 94.041826 155.182873 \nL 92.126313 154.097452 \nL 90.245966 152.801329 \nL 88.431779 151.286731 \nL 86.718952 149.550202 \nL 85.146403 147.594011 \nL 83.755927 145.42762 \nL 82.590892 143.069076 \nL 81.694498 140.546147 \nL 81.107614 137.897015 \nL 80.866272 135.170273 \nL 80.999028 132.42402 \nL 81.524409 129.723944 \nL 82.448773 127.140348 \nL 83.764869 124.744291 \nL 85.451377 122.603182 \nL 87.473562 120.776254 \nL 89.785054 119.310538 \nL 92.330589 118.237842 \nL 95.049374 117.573098 \nL 97.878706 117.314326 \nL 100.757408 117.444105 \nL 103.628765 117.932191 \nL 106.442708 118.738943 \nL 109.157193 119.818971 \nL 111.738763 121.124607 \nL 114.162452 122.608824 \nL 116.411192 124.227536 \nL 118.474895 125.941062 \nL 120.349365 127.714971 \nL 122.035176 129.520347 \nL 123.536595 131.333628 \nL 124.860604 133.136181 \nL 126.01605 134.913731 \nL 127.861834 138.354645 \nL 129.158185 141.605422 \nL 129.986191 144.647355 \nL 130.416301 147.480858 \nL 130.504788 150.11655 \nL 130.292695 152.569473 \nL 129.806166 154.855514 \nL 129.057429 156.989124 \nL 128.045969 158.98178 \nL 126.759643 160.840702 \nL 125.175671 162.567491 \nL 123.261554 164.156398 \nL 120.976137 165.591858 \nL 118.271189 166.84499 \nL 115.094116 167.868699 \nL 113.312017 168.273248 \nL 111.392744 168.591125 \nL 109.331192 168.808114 \nL 107.123595 168.907336 \nL 104.768112 168.868949 \nL 102.265568 168.66988 \nL 99.620342 168.28363 \nL 96.841446 167.680218 \nL 93.943763 166.826329 \nL 90.949455 165.685782 \nL 87.88949 164.220474 \nL 84.805168 162.391895 \nL 81.749524 160.163432 \nL 78.788369 157.503569 \nL 76.00064 154.390093 \nL 73.477704 150.815233 \nL 71.321154 146.791497 \nL 69.638722 142.35761 \nL 68.538065 137.583699 \nL 68.118518 132.574442 \nL 68.46133 127.468766 \nL 69.619523 122.434854 \nL 71.609005 117.659761 \nL 74.402751 113.334063 \nL 77.929732 109.633355 \nL 82.079367 106.699598 \nL 86.711181 104.625868 \nL 91.668058 103.447688 \nL 96.790702 103.142621 \nL 101.930727 103.637786 \nL 106.960488 104.823183 \nL 111.778716 106.56762 \nL 116.312073 108.734139 \nL 120.513546 111.192533 \nL 124.358822 113.827819 \nL 127.8418 116.544646 \nL 130.97007 119.268339 \nL 133.760866 121.943575 \nL 136.237722 124.531763 \nL 140.36026 129.357412 \nL 143.568532 133.654704 \nL 146.086296 137.42355 \nL 152.789117 148.085654 \nL 154.265919 149.854513 \nL 155.845848 151.313569 \nL 157.596225 152.466818 \nL 159.576914 153.306172 \nL 161.84262 153.811206 \nL 164.443709 153.948819 \nL 167.425187 153.673049 \nL 170.823284 152.925493 \nL 174.658882 151.637295 \nL 178.92687 149.734111 \nL 181.210564 148.529524 \nL 183.580494 147.146292 \nL 186.020872 145.579411 \nL 188.510453 143.827006 \nL 191.021724 141.891513 \nL 193.520164 139.781043 \nL 195.963661 137.510851 \nL 198.302235 135.10486 \nL 200.478205 132.597041 \nL 202.426983 130.032456 \nL 204.078694 127.467662 \nL 205.360774 124.970155 \nL 206.201606 122.616501 \nL 206.53517 120.488916 \nL 206.306471 118.670159 \nL 205.477224 117.237038 \nL 204.031134 116.25303 \nL 201.977893 115.761067 \nL 199.355011 115.777722 \nL 196.22687 116.290116 \nL 192.680807 117.25636 \nL 188.820584 118.609897 \nL 184.758184 120.267039 \nL 180.605213 122.136319 \nL 172.427563 126.161951 \nL 164.929175 130.114336 \nL 155.667711 135.288453 \nL 150.910934 138.178697 \nL 147.178136 140.722048 \nL 144.305946 143.03094 \nL 142.119883 145.19695 \nL 140.457479 147.280612 \nL 139.178136 149.314878 \nL 138.165375 151.313069 \nL 136.94559 154.244404 \nL 134.385494 160.68572 \nL 133.040916 163.238539 \nL 131.966927 164.865495 \nL 130.705488 166.43086 \nL 129.213416 167.931898 \nL 127.441849 169.362865 \nL 125.334862 170.712632 \nL 122.828539 171.961308 \nL 119.850853 173.075396 \nL 116.323044 174.000903 \nL 112.163669 174.653719 \nL 109.822963 174.840234 \nL 107.29731 174.906683 \nL 104.580899 174.827789 \nL 101.670955 174.573464 \nL 98.568992 174.108287 \nL 95.282357 173.391141 \nL 91.826132 172.375092 \nL 88.225357 171.007713 \nL 84.517561 169.232087 \nL 80.755462 166.98878 \nL 77.009616 164.21911 \nL 73.370621 160.870115 \nL 69.950305 156.901443 \nL 66.881117 152.294201 \nL 64.312845 147.061436 \nL 62.405758 141.259163 \nL 61.319614 134.996093 \nL 61.19862 128.439357 \nL 62.153639 121.813149 \nL 64.244161 115.387439 \nL 67.463826 109.455781 \nL 71.733418 104.303893 \nL 76.904349 100.174197 \nL 82.773152 97.233824 \nL 89.104437 95.553876 \nL 95.657396 95.105031 \nL 102.21016 95.769967 \nL 108.577451 97.368375 \nL 114.619587 99.687458 \nL 120.243327 102.510739 \nL 125.396903 105.640156 \nL 130.061966 108.909364 \nL 134.244843 112.188841 \nL 137.968614 115.384886 \nL 141.266704 118.434938 \nL 146.744028 123.965173 \nL 151.002909 128.669976 \nL 160.380341 139.515268 \nL 162.350219 141.358061 \nL 164.271305 142.757401 \nL 166.236584 143.74648 \nL 168.314403 144.343208 \nL 170.551606 144.553175 \nL 172.974852 144.372966 \nL 175.589963 143.794199 \nL 178.379416 142.808688 \nL 181.298246 141.415202 \nL 184.269081 139.628119 \nL 187.177649 137.487783 \nL 189.870964 135.07144 \nL 192.161188 132.502142 \nL 193.089874 131.211948 \nL 193.838626 129.951267 \nL 194.381854 128.747587 \nL 194.696302 127.62942 \nL 194.762355 126.625137 \nL 194.565343 125.761572 \nL 194.096743 125.062549 \nL 193.355159 124.547399 \nL 192.346945 124.229658 \nL 191.086393 124.116126 \nL 189.595392 124.206337 \nL 187.902585 124.492661 \nL 186.042066 124.960941 \nL 181.971426 126.361353 \nL 177.699182 128.215475 \nL 173.517784 130.323184 \nL 169.65771 132.518155 \nL 166.27178 134.687285 \nL 163.439406 136.768823 \nL 161.182331 138.738332 \nL 159.483771 140.592048 \nL 158.305733 142.33348 \nL 157.602331 143.965024 \nL 157.328857 145.48391 \nL 157.447264 146.880994 \nL 157.92902 148.140894 \nL 158.756111 149.242541 \nL 159.92083 150.159594 \nL 161.424746 150.860472 \nL 163.276958 151.308029 \nL 165.491629 151.459046 \nL 168.084542 151.263842 \nL 171.068228 150.666466 \nL 174.445117 149.606263 \nL 178.198015 148.021872 \nL 182.277401 145.859164 \nL 186.585472 143.084887 \nL 188.777098 141.468702 \nL 190.958285 139.707509 \nL 193.095531 137.813484 \nL 195.149592 135.80514 \nL 197.075625 133.708248 \nL 198.823772 131.556517 \nL 200.340256 129.391868 \nL 201.56914 127.264112 \nL 202.454722 125.229802 \nL 202.944627 123.350151 \nL 202.993408 121.687888 \nL 202.566411 120.303194 \nL 201.64352 119.248951 \nL 200.222275 118.565902 \nL 198.31982 118.278322 \nL 195.97327 118.390985 \nL 193.238187 118.888122 \nL 190.185256 119.734682 \nL 186.895475 120.879848 \nL 183.454513 122.262273 \nL 176.451554 125.47739 \nL 169.759122 128.900712 \nL 163.774722 132.197755 \nL 158.696111 135.210152 \nL 154.562018 137.914711 \nL 151.309918 140.360005 \nL 148.826457 142.615139 \nL 146.982435 144.74087 \nL 145.653483 146.779095 \nL 144.730425 148.752879 \nL 144.123144 150.67086 \nL 143.760762 152.532401 \nL 143.589942 154.331866 \nL 143.612835 156.897745 \nL 143.905728 159.280248 \nL 144.438862 161.455853 \nL 145.219665 163.403128 \nL 145.895663 164.563237 \nL 146.717048 165.603266 \nL 147.708597 166.512404 \nL 148.901638 167.276321 \nL 150.334781 167.875755 \nL 152.054792 168.284701 \nL 154.1175 168.468086 \nL 156.588494 168.378778 \nL 159.543221 167.953828 \nL 163.065811 167.10995 \nL 167.245442 165.738523 \nL 172.168341 163.701097 \nL 174.931095 162.380665 \nL 177.902441 160.827659 \nL 181.083602 159.016794 \nL 184.470402 156.922287 \nL 188.051401 154.519087 \nL 191.80566 151.784665 \nL 195.700143 148.701562 \nL 199.686805 145.260771 \nL 203.699536 141.466111 \nL 207.651275 137.339523 \nL 211.431695 132.92714 \nL 214.906195 128.30554 \nL 217.91711 123.587279 \nL 220.288188 118.924159 \nL 221.833452 114.506194 \nL 222.371214 110.553931 \nL 221.743148 107.302178 \nL 219.836934 104.974512 \nL 216.609057 103.750575 \nL 212.102529 103.73194 \nL 206.453743 104.915132 \nL 199.884035 107.18151 \nL 192.675513 110.310109 \nL 185.135764 114.012435 \nL 170.200221 121.932161 \nL 156.821532 128.985814 \nL 150.98991 131.874509 \nL 145.767435 134.304857 \nL 141.13663 136.308088 \nL 133.484225 139.259224 \nL 127.625556 141.215516 \nL 114.532831 145.362023 \nL 109.725866 147.010355 \nL 107.936907 147.458611 \nL 106.139448 147.733451 \nL 104.313093 147.796921 \nL 102.460049 147.612888 \nL 100.603512 147.149717 \nL 98.786399 146.383641 \nL 97.069686 145.303121 \nL 95.529483 143.914058 \nL 94.252018 142.245291 \nL 93.326006 140.353177 \nL 93.020724 139.349048 \nL 92.832428 138.323471 \nL 92.768081 137.291334 \nL 92.832678 136.268716 \nL 93.028947 135.272496 \nL 93.357098 134.319859 \nL 93.814686 133.42775 \nL 94.396574 132.612314 \nL 95.095003 131.888321 \nL 95.899788 131.268651 \nL 96.798622 130.763862 \nL 97.777455 130.381842 \nL 98.82095 130.12763 \nL 99.912965 130.003356 \nL 101.037048 130.00831 \nL 102.176901 130.13917 \nL 103.316804 130.39029 \nL 105.53879 131.221476 \nL 107.600222 132.425593 \nL 109.422028 133.915273 \nL 110.949399 135.603052 \nL 112.149134 137.408808 \nL 113.005244 139.26352 \nL 113.5141 141.110065 \nL 113.679978 142.902053 \nL 113.511515 144.601579 \nL 113.019242 146.176543 \nL 112.214256 147.597971 \nL 111.107971 148.837512 \nL 109.712883 149.865267 \nL 108.044314 150.648061 \nL 106.123104 151.148268 \nL 103.979182 151.323515 \nL 101.655888 151.127651 \nL 99.214738 150.513543 \nL 97.975282 150.035897 \nL 96.739895 149.438392 \nL 95.523145 148.717734 \nL 94.341249 147.872132 \nL 93.211966 146.901722 \nL 92.154387 145.809038 \nL 91.188626 144.599446 \nL 90.33537 143.281579 \nL 89.615309 141.867687 \nL 89.04844 140.373854 \nL 88.653281 138.82006 \nL 88.446005 137.230012 \nL 88.439582 135.630734 \nL 88.642949 134.051869 \nL 89.060307 132.524725 \nL 89.690615 131.081089 \nL 90.527336 129.751885 \nL 91.55847 128.565785 \nL 92.766911 127.547874 \nL 94.131094 126.71849 \nL 95.625878 126.092354 \nL 97.223631 125.678077 \nL 98.895378 125.478065 \nL 100.61195 125.48878 \nL 102.345045 125.701388 \nL 104.068126 126.102626 \nL 105.757119 126.675841 \nL 107.390891 127.40207 \nL 108.951517 128.261082 \nL 110.424345 129.232307 \nL 111.797904 130.295622 \nL 113.063687 131.431936 \nL 114.215856 132.623627 \nL 116.167215 135.11131 \nL 117.644972 137.653338 \nL 118.662 140.172127 \nL 119.241427 142.613376 \nL 119.409369 144.940249 \nL 119.189985 147.127624 \nL 118.602562 149.157059 \nL 117.66021 151.01253 \nL 116.369869 152.676824 \nL 114.733401 154.128366 \nL 112.749723 155.33832 \nL 110.4181 156.267826 \nL 107.742819 156.865515 \nL 106.280545 157.019956 \nL 104.739555 157.065578 \nL 103.124965 156.99181 \nL 101.443761 156.787235 \nL 99.705169 156.439763 \nL 97.921044 155.936876 \nL 96.106239 155.265994 \nL 94.278963 154.414978 \nL 92.461082 153.372786 \nL 90.678292 152.130301 \nL 88.960172 150.681332 \nL 87.339983 149.023763 \nL 85.854209 147.160806 \nL 84.541754 145.102301 \nL 83.442746 142.865919 \nL 82.59696 140.478133 \nL 82.041869 137.974766 \nL 81.810414 135.400926 \nL 81.928677 132.810163 \nL 82.413626 130.262734 \nL 83.271241 127.822969 \nL 84.495237 125.555868 \nL 86.066638 123.523248 \nL 87.954315 121.779756 \nL 90.11651 120.369321 \nL 92.503178 119.322413 \nL 95.058939 118.654508 \nL 97.72624 118.365889 \nL 100.44845 118.442771 \nL 103.172521 118.859499 \nL 105.851056 119.581436 \nL 108.443662 120.56815 \nL 110.917596 121.776503 \nL 113.247827 123.163334 \nL 115.416602 124.687613 \nL 117.412708 126.311899 \nL 119.230545 128.003242 \nL 120.869133 129.733551 \nL 122.331139 131.479574 \nL 123.621977 133.22259 \nL 124.749003 134.947961 \nL 126.546799 138.304344 \nL 127.799233 141.492549 \nL 128.579831 144.488452 \nL 128.953166 147.287522 \nL 128.970929 149.896043 \nL 128.670481 152.325248 \nL 128.074857 154.587477 \nL 127.193524 156.693601 \nL 126.023435 158.651114 \nL 124.550166 160.462443 \nL 122.749094 162.12309 \nL 120.586747 163.619292 \nL 118.022625 164.92484 \nL 115.012022 165.99678 \nL 113.325257 166.425783 \nL 111.510665 166.76976 \nL 109.564031 167.015886 \nL 107.482356 167.149006 \nL 105.264385 167.151394 \nL 102.91124 167.002533 \nL 100.427198 166.678975 \nL 97.820609 166.154317 \nL 95.10495 165.399351 \nL 92.300012 164.382483 \nL 89.433173 163.070522 \nL 86.540682 161.429982 \nL 83.66883 159.428951 \nL 80.874832 157.039744 \nL 78.227172 154.24232 \nL 75.80511 151.028461 \nL 73.697017 147.406533 \nL 71.997228 143.40641 \nL 70.801183 139.083901 \nL 70.198889 134.523729 \nL 70.267054 129.840004 \nL 71.060624 125.173133 \nL 72.60496 120.682477 \nL 74.890059 116.534885 \nL 77.868176 112.890132 \nL 81.455778 109.88532 \nL 85.539878 107.620966 \nL 89.987921 106.151427 \nL 94.659505 105.481516 \nL 99.417983 105.569704 \nL 104.140137 106.336915 \nL 108.722797 107.678733 \nL 113.086062 109.478464 \nL 117.173539 111.618917 \nL 120.950347 113.991372 \nL 124.399885 116.501304 \nL 127.520076 119.071017 \nL 130.319742 121.639871 \nL 132.815374 124.16291 \nL 135.028476 126.608603 \nL 138.70619 131.193871 \nL 141.558163 135.319185 \nL 143.782473 138.982445 \nL 146.319919 143.683268 \nL 149.531373 149.74336 \nL 150.750817 151.644485 \nL 152.045765 153.278064 \nL 153.47743 154.651712 \nL 155.101861 155.763021 \nL 156.972807 156.599057 \nL 159.143652 157.13556 \nL 161.668236 157.335833 \nL 164.600223 157.14943 \nL 167.990425 156.511003 \nL 171.881218 155.34005 \nL 176.296775 153.542875 \nL 178.700242 152.378028 \nL 181.227548 151.019107 \nL 183.868496 149.454886 \nL 186.607491 147.676179 \nL 189.422415 145.677059 \nL 192.283447 143.456381 \nL 195.151889 141.019595 \nL 197.979153 138.380825 \nL 200.706044 135.565114 \nL 203.262582 132.610631 \nL 205.568654 129.570551 \nL 207.535747 126.514171 \nL 209.07013 123.52673 \nL 210.077623 120.707375 \nL 210.470027 118.164679 \nL 210.172868 116.009538 \nL 209.133829 114.345574 \nL 207.330737 113.257924 \nL 204.777657 112.802095 \nL 201.527643 112.994952 \nL 197.671033 113.810201 \nL 193.328982 115.179861 \nL 188.643004 117.002064 \nL 183.762237 119.153844 \nL 173.976477 123.938726 \nL 160.798824 130.832535 \nL 147.883877 137.813117 \nL 143.359159 140.466539 \nL 139.855919 142.787528 \nL 137.144342 144.916928 \nL 135.013229 146.94659 \nL 133.28117 148.925894 \nL 131.110292 151.837671 \nL 127.723721 156.499939 \nL 126.210394 158.258438 \nL 124.507545 159.92965 \nL 122.556672 161.49176 \nL 120.301332 162.917226 \nL 117.686205 164.169268 \nL 114.657881 165.197155 \nL 111.168043 165.9303 \nL 109.237869 166.15714 \nL 107.180017 166.271231 \nL 104.993576 166.254962 \nL 102.680125 166.088166 \nL 100.244458 165.748017 \nL 97.695449 165.209032 \nL 95.04704 164.443273 \nL 92.319343 163.420828 \nL 89.539793 162.110603 \nL 86.744299 160.481637 \nL 83.978259 158.504955 \nL 81.297261 156.156102 \nL 78.767266 153.41839 \nL 76.463966 150.286784 \nL 74.471054 146.772256 \nL 72.877122 142.906178 \nL 71.771029 138.744178 \nL 71.235781 134.368547 \nL 71.341305 129.888297 \nL 72.136806 125.435955 \nL 73.6438 121.160582 \nL 75.851078 117.217181 \nL 78.712778 113.753452 \nL 82.150312 110.895813 \nL 86.058193 108.736994 \nL 90.312972 107.327549 \nL 94.783803 106.672847 \nL 99.342929 106.735905 \nL 103.874491 107.445145 \nL 108.280668 108.705262 \nL 112.484812 110.40893 \nL 116.431885 112.447483 \nL 120.086879 114.719196 \nL 123.431988 117.13473 \nL 126.463295 119.619795 \nL 129.187448 122.115631 \nL 131.61868 124.57798 \nL 133.776307 126.975176 \nL 135.682722 129.28592 \nL 138.838121 133.601612 \nL 141.276906 137.483939 \nL 143.177683 140.944156 \nL 145.353352 145.418597 \nL 148.145488 151.282546 \nL 149.222109 153.158325 \nL 150.37387 154.793619 \nL 151.655101 156.195517 \nL 153.116666 157.362333 \nL 154.808711 158.283109 \nL 156.782707 158.936733 \nL 159.092675 159.290664 \nL 161.795354 159.299242 \nL 164.948849 158.90176 \nL 168.609021 158.020761 \nL 172.822447 156.561446 \nL 175.145803 155.581011 \nL 177.614307 154.413942 \nL 180.224617 153.045461 \nL 182.969163 151.461379 \nL 185.835022 149.649003 \nL 188.802658 147.598364 \nL 191.844507 145.303776 \nL 194.923554 142.765812 \nL 197.991919 139.993634 \nL 200.989712 137.007637 \nL 203.844326 133.842251 \nL 206.470531 130.548587 \nL 208.771728 127.196469 \nL 210.642745 123.875271 \nL 211.974579 120.692743 \nL 212.661205 117.77114 \nL 212.608385 115.239996 \nL 211.743795 113.225452 \nL 210.027345 111.836919 \nL 207.459889 111.15267 \nL 204.088387 111.20716 \nL 200.00577 111.983025 \nL 195.344671 113.410486 \nL 190.265554 115.375124 \nL 184.94124 117.732863 \nL 179.540765 120.328963 \nL 169.089513 125.672662 \nL 140.825822 140.516032 \nL 137.034874 142.777056 \nL 134.086144 144.819068 \nL 131.742617 146.750139 \nL 129.803154 148.626465 \nL 126.506988 152.273526 \nL 124.079217 154.879301 \nL 122.31369 156.515156 \nL 120.348449 158.037131 \nL 118.123493 159.410848 \nL 115.586098 160.593693 \nL 112.69119 161.531123 \nL 109.404202 162.152111 \nL 107.60716 162.316034 \nL 105.707126 162.364291 \nL 103.706089 162.281311 \nL 101.608587 162.049787 \nL 99.422296 161.650741 \nL 97.158683 161.063716 \nL 94.833725 160.267139 \nL 92.468638 159.238925 \nL 90.090599 157.957369 \nL 87.73336 156.402375 \nL 85.437663 154.557086 \nL 83.251335 152.409926 \nL 81.228904 149.956988 \nL 79.430555 147.204721 \nL 77.920335 144.172636 \nL 76.763435 140.895773 \nL 76.02261 137.426463 \nL 75.753835 133.834898 \nL 76.001544 130.208001 \nL 76.793949 126.646236 \nL 78.139095 123.258264 \nL 80.022318 120.153708 \nL 82.405688 117.4348 \nL 85.229744 115.187935 \nL 88.417422 113.476495 \nL 91.879698 112.336046 \nL 95.522137 111.772679 \nL 99.251426 111.764612 \nL 102.981049 112.266652 \nL 106.635505 113.216455 \nL 110.152853 114.541585 \nL 113.485612 116.166171 \nL 116.600355 118.016498 \nL 119.476362 120.025059 \nL 122.103748 122.133014 \nL 124.481401 124.291283 \nL 126.61497 126.460535 \nL 128.515044 128.610472 \nL 130.19559 130.718699 \nL 131.672681 132.769446 \nL 134.085482 136.660968 \nL 135.89132 140.245935 \nL 137.21848 143.524128 \nL 138.177994 146.51493 \nL 138.8613 149.245833 \nL 139.522408 152.918635 \nL 139.981867 157.163686 \nL 140.207636 161.656604 \nL 140.24438 167.472991 \nL 140.065834 172.56741 \nL 139.734592 175.758701 \nL 139.309332 177.733233 \nL 138.778599 179.17901 \nL 138.214341 180.208933 \nL 137.449585 181.21119 \nL 136.410873 182.204631 \nL 134.997319 183.209029 \nL 133.070532 184.242579 \nL 130.441367 185.315541 \nL 128.175087 186.048458 \nL 125.388149 186.779882 \nL 121.965346 187.478199 \nL 117.771903 188.083667 \nL 112.656155 188.490987 \nL 109.702559 188.568726 \nL 106.459287 188.522968 \nL 102.909202 188.314122 \nL 99.038928 187.892698 \nL 94.841207 187.197547 \nL 90.318089 186.154144 \nL 85.485102 184.673205 \nL 80.376571 182.65007 \nL 75.052098 179.965594 \nL 69.604077 176.489487 \nL 64.165639 172.087504 \nL 58.917941 166.633971 \nL 54.09472 160.031145 \nL 49.981223 152.236027 \nL 46.90371 143.293443 \nL 45.205758 133.370837 \nL 45.209535 122.785845 \nL 47.164171 112.013598 \nL 51.190076 101.660135 \nL 57.234344 92.394195 \nL 65.054705 84.843767 \nL 74.243805 79.481334 \nL 84.29165 76.533267 \nL 94.668859 75.945026 \nL 104.90491 77.413293 \nL 114.639988 80.47015 \nL 123.642169 84.586834 \nL 131.795619 89.264518 \nL 139.072873 94.092589 \nL 145.503869 98.771548 \nL 156.084347 107.000944 \nL 167.344403 115.813825 \nL 172.504551 119.607997 \nL 179.591165 124.620104 \nL 180.653091 125.703531 \nL 180.883349 126.169081 \nL 180.936201 126.611317 \nL 180.828678 127.045977 \nL 180.200943 127.938048 \nL 179.138159 128.905904 \nL 171.810309 134.82609 \nL 170.15779 136.629438 \nL 169.376561 137.754949 \nL 168.876385 138.796112 \nL 168.665822 139.73535 \nL 168.745866 140.55553 \nL 169.112486 141.239056 \nL 169.758296 141.767355 \nL 170.673313 142.120851 \nL 171.844809 142.279326 \nL 173.256353 142.222723 \nL 174.886066 141.932493 \nL 176.704234 141.393532 \nL 178.670429 140.596891 \nL 180.730472 139.543266 \nL 182.813727 138.247219 \nL 184.831514 136.741698 \nL 186.677662 135.082079 \nL 188.232466 133.348358 \nL 189.371021 131.643797 \nL 189.976324 130.088331 \nL 190.048714 129.405544 \nL 189.956124 128.805903 \nL 189.693808 128.302624 \nL 189.260625 127.90686 \nL 188.659309 127.62716 \nL 187.896576 127.469039 \nL 186.983026 127.434728 \nL 184.763428 127.729787 \nL 182.147808 128.466656 \nL 179.311144 129.561929 \nL 176.4315 130.913825 \nL 173.668419 132.421656 \nL 171.148883 133.999749 \nL 168.962073 135.583477 \nL 167.161443 137.128481 \nL 165.771257 138.605857 \nL 164.794815 139.996207 \nL 164.222406 141.28435 \nL 164.037862 142.455544 \nL 164.223347 143.493162 \nL 164.762411 144.377539 \nL 165.641483 145.085519 \nL 166.850059 145.590437 \nL 168.379744 145.862411 \nL 170.222233 145.868919 \nL 172.366219 145.575902 \nL 174.793162 144.949682 \nL 177.471869 143.960138 \nL 180.351947 142.585695 \nL 183.356533 140.820542 \nL 186.375249 138.684152 \nL 189.259183 136.232472 \nL 191.820779 133.568669 \nL 192.913361 132.204111 \nL 193.842263 130.849467 \nL 194.578894 129.532092 \nL 195.09607 128.281385 \nL 195.369344 127.127725 \nL 195.378439 126.10114 \nL 195.108664 125.229748 \nL 194.552206 124.5381 \nL 193.709129 124.045567 \nL 192.587987 123.764965 \nL 191.205898 123.701577 \nL 189.588051 123.852727 \nL 187.766644 124.208055 \nL 185.779331 124.750333 \nL 181.473421 126.301564 \nL 177.006562 128.29327 \nL 172.681345 130.51281 \nL 168.728198 132.790984 \nL 165.292729 135.018813 \nL 162.443725 137.141804 \nL 160.191924 139.142754 \nL 158.510949 141.023497 \nL 157.355346 142.791167 \nL 156.673941 144.450182 \nL 156.418611 145.99875 \nL 156.549395 147.428172 \nL 157.036979 148.723322 \nL 157.863435 149.863404 \nL 159.021851 150.822414 \nL 160.515222 151.569135 \nL 162.354763 152.06673 \nL 164.557575 152.272021 \nL 167.143425 152.134819 \nL 170.130172 151.597719 \nL 173.527209 150.597075 \nL 177.326195 149.066271 \nL 181.488308 146.94282 \nL 183.681075 145.643476 \nL 185.927721 144.181258 \nL 188.206969 142.556533 \nL 190.492127 140.773784 \nL 192.750579 138.842721 \nL 194.943447 136.779426 \nL 197.025546 134.607461 \nL 198.945739 132.358823 \nL 200.647834 130.074531 \nL 202.072149 127.804645 \nL 203.15783 125.607484 \nL 203.845952 123.547805 \nL 204.08331 121.693803 \nL 203.826692 120.112979 \nL 203.047214 118.866999 \nL 201.73422 118.006165 \nL 199.898085 117.564111 \nL 197.571382 117.553675 \nL 194.807967 117.964806 \nL 191.679907 118.765042 \nL 188.272532 119.902712 \nL 184.678251 121.312425 \nL 180.99002 122.921888 \nL 173.671622 126.457621 \nL 166.878702 130.031317 \nL 160.950388 133.355667 \nL 156.018338 136.330595 \nL 152.065914 138.978412 \nL 148.99192 141.373615 \nL 146.659474 143.595379 \nL 144.926891 145.705279 \nL 143.66429 147.74216 \nL 142.760826 149.72546 \nL 142.126369 151.661124 \nL 141.5292 154.470002 \nL 141.211848 157.147568 \nL 141.045253 160.479815 \nL 141.069818 164.225819 \nL 141.318239 168.09548 \nL 141.712334 170.818454 \nL 142.200183 172.681322 \nL 142.710269 173.895249 \nL 143.390803 174.946502 \nL 144.300926 175.822294 \nL 145.073912 176.297611 \nL 146.014748 176.674054 \nL 147.160874 176.936671 \nL 148.557981 177.064834 \nL 150.261605 177.030235 \nL 152.338837 176.794138 \nL 154.869957 176.303637 \nL 157.949628 175.48664 \nL 161.686893 174.245387 \nL 166.202589 172.448544 \nL 171.621733 169.922648 \nL 174.706461 168.318803 \nL 178.056728 166.445359 \nL 181.679306 164.266995 \nL 185.574828 161.746373 \nL 189.735233 158.845528 \nL 194.140558 155.528107 \nL 198.755041 151.762751 \nL 203.522558 147.527922 \nL 208.361562 142.818458 \nL 213.159887 137.654019 \nL 217.770142 132.089267 \nL 222.006789 126.225098 \nL 225.646575 120.219351 \nL 228.434437 114.294263 \nL 230.097219 108.736568 \nL 230.367147 103.885197 \nL 229.015326 100.10189 \nL 225.892362 97.722917 \nL 220.968767 96.996606 \nL 214.363455 98.020003 \nL 206.347708 100.695713 \nL 197.31682 104.729636 \nL 187.732829 109.678542 \nL 159.871722 125.183457 \nL 151.828973 129.374499 \nL 144.617833 132.803562 \nL 138.240343 135.476914 \nL 132.652567 137.465714 \nL 127.786566 138.87217 \nL 123.565686 139.80529 \nL 119.913859 140.3665 \nL 116.760525 140.642927 \nL 114.042718 140.705694 \nL 111.705538 140.610944 \nL 107.991063 140.112342 \nL 105.316679 139.385833 \nL 103.46391 138.573486 \nL 102.270995 137.765821 \nL 101.613267 137.026543 \nL 101.389063 136.403916 \nL 101.510378 135.934771 \nL 101.89734 135.645039 \nL 102.475647 135.549276 \nL 103.176007 135.650442 \nL 103.934772 135.940539 \nL 104.695029 136.402126 \nL 105.732924 137.360507 \nL 106.535006 138.545988 \nL 106.893415 139.407732 \nL 107.090316 140.288563 \nL 107.115815 141.157401 \nL 106.965927 141.985019 \nL 106.641903 142.744163 \nL 106.149791 143.409428 \nL 105.500249 143.957169 \nL 104.708627 144.365459 \nL 103.795271 144.614252 \nL 102.785945 144.6859 \nL 101.71226 144.566031 \nL 100.611911 144.244892 \nL 99.528499 143.719097 \nL 98.510709 142.993686 \nL 97.610575 142.084263 \nL 96.880731 141.018772 \nL 96.370615 139.838427 \nL 96.121912 138.597205 \nL 96.163776 137.359491 \nL 96.508594 136.195692 \nL 97.149167 135.176149 \nL 98.058067 134.364227 \nL 99.189498 133.809785 \nL 100.483439 133.544331 \nL 101.871335 133.578745 \nL 103.282342 133.903854 \nL 104.648996 134.493491 \nL 105.911565 135.309018 \nL 107.020704 136.304366 \nL 107.93845 137.430557 \nL 108.637868 138.639236 \nL 109.10183 139.884911 \nL 109.321392 141.126076 \nL 109.294146 142.325373 \nL 109.022827 143.449123 \nL 108.514377 144.46654 \nL 107.77952 145.348778 \nL 106.832901 146.068125 \nL 105.693747 146.597432 \nL 104.386993 146.909967 \nL 102.944728 146.979918 \nL 101.407761 146.783619 \nL 99.827019 146.301781 \nL 98.264312 145.522717 \nL 96.791946 144.446542 \nL 95.490593 143.089928 \nL 94.444883 141.490699 \nL 93.736537 139.711008 \nL 93.435439 137.837659 \nL 93.453771 136.898863 \nL 93.589771 135.97818 \nL 93.844616 135.090842 \nL 94.217175 134.25204 \nL 94.703964 133.476441 \nL 95.299157 132.777725 \nL 95.99472 132.168112 \nL 96.780619 131.65798 \nL 97.645128 131.25553 \nL 98.575169 130.966573 \nL 99.556731 130.794412 \nL 100.575268 130.739866 \nL 101.616122 130.80136 \nL 103.707811 131.255637 \nL 105.725494 132.106662 \nL 107.579844 133.284589 \nL 109.202276 134.711146 \nL 110.545069 136.308495 \nL 111.578979 138.005139 \nL 112.28952 139.738897 \nL 112.672912 141.457449 \nL 112.732429 143.117328 \nL 112.475509 144.681991 \nL 111.911831 146.119553 \nL 111.052385 147.400503 \nL 109.909526 148.495586 \nL 108.497936 149.374034 \nL 106.836498 150.002279 \nL 104.950963 150.343342 \nL 102.877347 150.357157 \nL 100.665795 150.002336 \nL 98.384467 149.239776 \nL 96.122626 148.038654 \nL 95.033021 147.26833 \nL 93.991763 146.385029 \nL 93.015865 145.391427 \nL 92.123153 144.292666 \nL 91.331887 143.096695 \nL 90.660268 141.814538 \nL 90.125868 140.460468 \nL 89.744968 139.052044 \nL 89.531847 137.609964 \nL 89.498065 136.157722 \nL 89.65178 134.721045 \nL 89.99716 133.327117 \nL 90.533943 132.003633 \nL 91.257201 130.777699 \nL 92.157328 129.674705 \nL 93.220286 128.717215 \nL 94.428084 127.923985 \nL 95.759467 127.309198 \nL 97.190775 126.88198 \nL 98.696864 126.646206 \nL 100.252082 126.600647 \nL 101.831166 126.739388 \nL 103.410037 127.052466 \nL 104.966458 127.52667 \nL 106.480508 128.146412 \nL 107.934883 128.894598 \nL 109.315042 129.753435 \nL 110.609188 130.705131 \nL 111.808157 131.732466 \nL 113.895744 133.950443 \nL 115.547925 136.293932 \nL 116.759704 138.673181 \nL 117.541737 141.020995 \nL 117.912604 143.288857 \nL 117.893015 145.442059 \nL 117.501941 147.4549 \nL 116.754472 149.306369 \nL 115.661075 150.976412 \nL 114.228087 152.442667 \nL 112.459296 153.677593 \nL 110.358636 154.645874 \nL 107.934142 155.302186 \nL 105.20332 155.589592 \nL 103.732783 155.573852 \nL 102.200136 155.439156 \nL 100.613606 155.175318 \nL 98.983578 154.771821 \nL 97.322912 154.218119 \nL 95.647227 153.504035 \nL 93.975137 152.620281 \nL 92.328417 151.559095 \nL 90.732043 150.315032 \nL 89.214071 148.885847 \nL 87.805312 147.273488 \nL 86.538747 145.485106 \nL 85.448646 143.534033 \nL 84.569395 141.440611 \nL 83.934028 139.232722 \nL 83.572509 136.945906 \nL 83.509887 134.62293 \nL 83.764462 132.312685 \nL 84.346129 130.068423 \nL 85.255106 127.94532 \nL 86.481232 125.997595 \nL 88.003971 124.275391 \nL 89.793165 122.821741 \nL 91.810511 121.670025 \nL 94.011606 120.842118 \nL 96.348371 120.347545 \nL 98.771571 120.183651 \nL 101.233204 120.336686 \nL 103.68853 120.783706 \nL 106.097617 121.494858 \nL 108.426353 122.435889 \nL 110.646916 123.570533 \nL 112.737808 124.862555 \nL 114.683507 126.27741 \nL 116.473895 127.783394 \nL 118.103524 129.352353 \nL 119.57083 130.960009 \nL 120.877351 132.585969 \nL 122.026997 134.213548 \nL 123.025382 135.829409 \nL 124.596047 138.987023 \nL 125.648962 142.003696 \nL 126.24344 144.852201 \nL 126.431456 147.522864 \nL 126.253895 150.015872 \nL 125.738995 152.335838 \nL 124.90216 154.487968 \nL 123.746571 156.475164 \nL 122.264271 158.295622 \nL 120.437593 159.940444 \nL 118.241033 161.390926 \nL 115.643848 162.615239 \nL 112.613908 163.564258 \nL 110.927625 163.914226 \nL 109.123587 164.166529 \nL 107.200516 164.307831 \nL 105.158778 164.32271 \nL 103.000919 164.193553 \nL 100.732313 163.900503 \nL 98.3619 163.421519 \nL 95.903027 162.732599 \nL 93.374359 161.80821 \nL 90.800816 160.622034 \nL 88.214518 159.148088 \nL 85.655558 157.362283 \nL 83.172552 155.24452 \nL 80.822731 152.781332 \nL 78.671401 149.968997 \nL 76.790533 146.81701 \nL 75.256292 143.351587 \nL 74.145369 139.61871 \nL 73.530177 135.686169 \nL 73.47312 131.643799 \nL 74.02048 127.601317 \nL 75.196652 123.683286 \nL 76.9997 120.021259 \nL 79.399106 116.743673 \nL 82.336403 113.964776 \nL 85.728857 111.774266 \nL 89.475816 110.229384 \nL 93.466781 109.350865 \nL 97.589951 109.123352 \nL 101.739988 109.499947 \nL 105.824036 110.409807 \nL 109.765514 111.767209 \nL 113.505672 113.480515 \nL 117.003276 115.459826 \nL 120.232957 117.622631 \nL 123.182827 119.897257 \nL 125.851808 122.224413 \nL 128.247052 124.557187 \nL 130.381624 126.860067 \nL 132.272562 129.107403 \nL 135.402476 133.371868 \nL 137.801374 137.279076 \nL 139.629401 140.817846 \nL 141.029515 144.007292 \nL 142.586327 148.206269 \nL 145.497317 156.708484 \nL 146.647403 159.09629 \nL 147.53873 160.475128 \nL 148.5709 161.68417 \nL 149.781051 162.71738 \nL 151.209964 163.562159 \nL 152.903587 164.198249 \nL 154.914277 164.59609 \nL 157.301601 164.714593 \nL 160.132402 164.498266 \nL 163.479535 163.873779 \nL 167.418328 162.746335 \nL 172.019177 160.996756 \nL 174.585356 159.84459 \nL 177.333951 158.481249 \nL 180.264778 156.885918 \nL 183.372913 155.037667 \nL 186.647186 152.916493 \nL 190.068395 150.504809 \nL 193.607275 147.78949 \nL 197.222259 144.764543 \nL 200.85716 141.434471 \nL 204.439046 137.818289 \nL 207.876563 133.954041 \nL 211.059291 129.903397 \nL 213.8587 125.75568 \nL 216.131493 121.630293 \nL 217.726043 117.676151 \nL 218.492482 114.066611 \nL 218.296402 110.988532 \nL 217.035295 108.624927 \nL 214.655635 107.13231 \nL 211.167318 106.61584 \nL 206.651614 107.107739 \nL 201.259193 108.555136 \nL 195.196991 110.822513 \nL 188.705578 113.709932 \nL 182.031788 116.983392 \nL 169.006463 123.785337 \nL 157.418912 129.832331 \nL 147.821624 134.548041 \nL 140.213799 137.996804 \nL 126.244198 144.074728 \nL 123.420789 145.532168 \nL 119.999242 147.567853 \nL 115.081577 150.603051 \nL 113.065033 151.613411 \nL 110.916619 152.443352 \nL 108.598521 153.041276 \nL 106.094234 153.349737 \nL 103.410059 153.30571 \nL 100.578438 152.842056 \nL 99.12573 152.431647 \nL 97.662509 151.891397 \nL 96.202242 151.214088 \nL 94.760817 150.393679 \nL 93.356566 149.425827 \nL 92.010158 148.308456 \nL 90.74438 147.042401 \nL 89.583772 145.632066 \nL 88.554071 144.08608 \nL 87.681462 142.417864 \nL 86.991655 140.646053 \nL 86.508783 138.7947 \nL 86.254185 136.893136 \nL 86.24515 134.975497 \nL 86.493703 133.079789 \nL 87.005553 131.246563 \nL 87.779341 129.5172 \nL 88.806245 127.931956 \nL 90.070064 126.527917 \nL 91.547748 125.337032 \nL 93.210407 124.384459 \nL 95.024659 123.687356 \nL 96.954229 123.254298 \nL 98.961638 123.085292 \nL 101.009821 123.172395 \nL 103.063572 123.500816 \nL 105.090698 124.050359 \nL 107.062838 124.797007 \nL 108.955961 125.714527 \nL 110.750534 126.775913 \nL 112.431443 127.954614 \nL 113.987701 129.225485 \nL 115.412031 130.565441 \nL 116.700368 131.953863 \nL 117.851317 133.372761 \nL 119.745733 136.243112 \nL 121.118485 139.082545 \nL 122.006096 141.829672 \nL 122.448448 144.447161 \nL 122.482136 146.913783 \nL 122.136535 149.217868 \nL 121.43188 151.352156 \nL 120.378772 153.309761 \nL 118.978736 155.08082 \nL 117.225608 156.649498 \nL 115.107743 157.991 \nL 112.611254 159.068424 \nL 111.217181 159.492425 \nL 109.724669 159.829351 \nL 108.133749 160.069661 \nL 106.445573 160.202452 \nL 104.662782 160.215392 \nL 102.789916 160.094724 \nL 100.833901 159.825321 \nL 98.804563 159.390835 \nL 96.715195 158.773984 \nL 94.583147 157.957 \nL 92.430384 156.922275 \nL 90.283995 155.653261 \nL 88.176558 154.13565 \nL 86.146299 152.358837 \nL 84.236913 150.317674 \nL 82.496966 148.014428 \nL 80.978745 145.460849 \nL 79.736472 142.680133 \nL 78.823872 139.708527 \nL 78.291122 136.59621 \nL 78.181346 133.407153 \nL 78.526955 130.217599 \nL 79.346244 127.112998 \nL 80.640677 124.183427 \nL 82.393389 121.517822 \nL 84.569176 119.197589 \nL 87.116197 117.290439 \nL 89.969209 115.845314 \nL 93.053954 114.889115 \nL 96.292157 114.425758 \nL 99.606458 114.437561 \nL 102.924697 114.888576 \nL 106.18319 115.729263 \nL 109.32877 116.9017 \nL 112.319652 118.344607 \nL 115.1253 119.99759 \nL 117.725559 121.804406 \nL 120.109331 123.715048 \nL 122.273047 125.68682 \nL 124.21911 127.684585 \nL 125.954438 129.680421 \nL 127.489175 131.652906 \nL 128.835605 133.586227 \nL 131.018193 137.294578 \nL 132.613784 140.756874 \nL 133.72837 143.961917 \nL 134.454262 146.919222 \nL 134.866829 149.648437 \nL 135.02412 152.173051 \nL 134.968021 154.516883 \nL 134.726028 156.702268 \nL 134.313112 158.749205 \nL 133.733351 160.675029 \nL 132.981174 162.494301 \nL 132.042171 164.218735 \nL 130.893484 165.856973 \nL 129.503822 167.414065 \nL 127.833195 168.890487 \nL 125.832516 170.280448 \nL 123.443292 171.569212 \nL 120.59779 172.728986 \nL 117.220334 173.712847 \nL 113.230803 174.446057 \nL 110.98198 174.684844 \nL 108.552131 174.814148 \nL 105.934424 174.810945 \nL 103.124541 174.647682 \nL 100.121795 174.291738 \nL 96.930517 173.704969 \nL 93.561771 172.843463 \nL 90.035422 171.657619 \nL 86.382499 170.092796 \nL 82.647834 168.090748 \nL 78.892745 165.592224 \nL 75.197509 162.541045 \nL 71.6631 158.889983 \nL 68.411571 154.608625 \nL 65.584207 149.693079 \nL 63.336538 144.176829 \nL 61.829479 138.141311 \nL 61.216274 131.723944 \nL 61.625943 125.120594 \nL 63.145081 118.579505 \nL 65.801235 112.384581 \nL 69.55181 106.828295 \nL 74.282118 102.177637 \nL 79.814462 98.639626 \nL 85.92723 96.334312 \nL 92.380172 95.281927 \nL 98.940326 95.407179 \nL 105.40331 96.558553 \nL 111.606648 98.536818 \nL 117.434498 101.125255 \nL 122.815295 104.115404 \nL 127.714969 107.324711 \nL 132.128379 110.605545 \nL 136.070895 113.846962 \nL 139.571228 116.971633 \nL 142.665871 119.930221 \nL 147.800133 125.254114 \nL 151.798008 129.756822 \nL 159.738641 139.035085 \nL 161.73592 141.004483 \nL 163.65747 142.520009 \nL 165.603326 143.618865 \nL 167.647962 144.322287 \nL 169.843861 144.638357 \nL 172.223311 144.565173 \nL 174.798243 144.094603 \nL 177.558156 143.217085 \nL 180.466292 141.927911 \nL 183.454691 140.235402 \nL 186.4192 138.17101 \nL 189.216461 135.800456 \nL 191.665698 133.233842 \nL 192.695336 131.924994 \nL 193.558783 130.630743 \nL 194.229266 129.377924 \nL 194.681645 128.195003 \nL 194.893703 127.111019 \nL 194.847484 126.154297 \nL 194.530596 125.350973 \nL 193.937365 124.723458 \nL 193.069691 124.28898 \nL 191.937508 124.058395 \nL 190.558743 124.035391 \nL 188.958748 124.216214 \nL 187.169219 124.590017 \nL 185.226693 125.139747 \nL 181.042095 126.676381 \nL 176.724411 128.624131 \nL 172.558517 130.78425 \nL 168.760334 132.99943 \nL 165.466146 135.168069 \nL 162.740558 137.238449 \nL 160.594083 139.192872 \nL 159.002593 141.031032 \nL 157.924104 142.757477 \nL 157.311261 144.374234 \nL 157.11959 145.877555 \nL 157.312327 147.257153 \nL 157.862779 148.496563 \nL 158.755004 149.573751 \nL 159.983389 150.461437 \nL 161.551455 151.127066 \nL 163.470009 151.532404 \nL 165.754546 151.632976 \nL 168.421608 151.377659 \nL 171.483654 150.708991 \nL 174.941803 149.564972 \nL 178.775767 147.883514 \nL 182.930441 145.611186 \nL 185.097257 144.242601 \nL 187.299259 142.718007 \nL 189.512056 141.040983 \nL 191.705821 139.219797 \nL 193.844956 137.268426 \nL 195.887997 135.207593 \nL 197.787866 133.065666 \nL 199.492603 130.879251 \nL 200.946653 128.693356 \nL 202.092849 126.560831 \nL 202.87508 124.540939 \nL 203.241622 122.696922 \nL 203.148951 121.092464 \nL 202.565723 119.787282 \nL 201.476486 118.832141 \nL 199.884593 118.263924 \nL 197.813758 118.101515 \nL 195.307864 118.343234 \nL 192.428804 118.966449 \nL 189.252534 119.929651 \nL 185.863784 121.176691 \nL 182.350141 122.642614 \nL 175.279429 125.964828 \nL 168.606813 129.424313 \nL 162.700891 132.710596 \nL 157.730156 135.691016 \nL 153.710628 138.360696 \nL 150.565201 140.777481 \nL 148.172709 143.013043 \nL 146.400794 145.127158 \nL 145.1247 147.159518 \nL 144.23628 149.13107 \nL 143.646982 151.048938 \nL 143.287487 152.911658 \nL 143.069304 155.589024 \nL 143.137906 158.10395 \nL 143.432468 160.433314 \nL 143.933277 162.558184 \nL 144.652273 164.461929 \nL 145.270983 165.599433 \nL 146.021429 166.623812 \nL 146.927072 167.526048 \nL 148.017417 168.293962 \nL 149.328808 168.910967 \nL 150.905389 169.354464 \nL 152.800153 169.593744 \nL 155.075924 169.587268 \nL 157.805951 169.279152 \nL 161.073623 168.594784 \nL 164.970342 167.435664 \nL 169.589994 165.674033 \nL 175.017479 163.148832 \nL 178.05328 161.54044 \nL 181.307432 159.666424 \nL 184.776076 157.499459 \nL 188.447788 155.012862 \nL 192.301205 152.18248 \nL 196.30223 148.989377 \nL 200.400908 145.423475 \nL 204.528129 141.488225 \nL 208.592451 137.206356 \nL 212.477586 132.62645 \nL 216.041251 127.829804 \nL 219.116421 122.936454 \nL 221.516192 118.108786 \nL 223.043463 113.550335 \nL 223.506284 109.4972 \nL 222.738829 106.199885 \nL 220.626153 103.894839 \nL 217.128941 102.768334 \nL 212.3022 102.919025 \nL 206.301464 104.32951 \nL 199.371758 106.857452 \nL 191.819358 110.252645 \nL 183.972167 114.197927 \nL 154.9435 129.610013 \nL 149.04493 132.478968 \nL 143.783156 134.857273 \nL 139.132485 136.786761 \nL 135.047759 138.330132 \nL 128.353721 140.532444 \nL 121.16104 142.49187 \nL 106.428007 146.079557 \nL 104.818214 146.17879 \nL 103.226418 146.089364 \nL 101.657377 145.785799 \nL 100.133823 145.249225 \nL 98.693954 144.470262 \nL 97.38844 143.452219 \nL 96.2765 142.214336 \nL 95.42059 140.794413 \nL 94.879743 139.25001 \nL 94.701962 137.657177 \nL 94.91661 136.106007 \nL 95.528233 134.692891 \nL 95.97665 134.067473 \nL 96.51324 133.510369 \nL 97.130749 133.030773 \nL 98.572485 132.333109 \nL 100.219146 132.014527 \nL 101.977589 132.085078 \nL 103.753648 132.52654 \nL 105.460337 133.297965 \nL 107.023597 134.343322 \nL 108.385218 135.599277 \nL 109.503203 137.001732 \nL 110.35026 138.490393 \nL 110.911263 140.011196 \nL 111.180382 141.517063 \nL 111.158442 142.967372 \nL 110.85082 144.326711 \nL 110.266077 145.563243 \nL 109.415376 146.647081 \nL 108.312697 147.548775 \nL 106.975812 148.238141 \nL 105.427952 148.683599 \nL 103.700074 148.852232 \nL 101.833525 148.710829 \nL 99.882771 148.228234 \nL 97.917702 147.379299 \nL 96.02471 146.150608 \nL 94.305537 144.547758 \nL 93.546128 143.614954 \nL 92.872885 142.603387 \nL 92.300209 141.522537 \nL 91.84189 140.3843 \nL 91.510627 139.202979 \nL 91.317521 137.995143 \nL 91.27157 136.779369 \nL 91.379185 135.575822 \nL 91.643778 134.405713 \nL 92.065456 133.29062 \nL 92.640833 132.251743 \nL 93.36301 131.309111 \nL 94.221714 130.480809 \nL 95.203595 129.78227 \nL 96.292687 129.225715 \nL 97.470966 128.819734 \nL 98.719001 128.569093 \nL 100.016622 128.474748 \nL 101.343584 128.534021 \nL 102.680177 128.740994 \nL 104.007757 129.086992 \nL 105.309153 129.56115 \nL 106.568975 130.151029 \nL 108.91225 131.623766 \nL 110.95456 133.39506 \nL 112.643436 135.360419 \nL 113.951913 137.428925 \nL 114.87193 139.526206 \nL 115.407797 141.593862 \nL 115.570609 143.586883 \nL 115.374045 145.470217 \nL 114.83161 147.215173 \nL 113.955234 148.79604 \nL 112.755093 150.187063 \nL 111.240549 151.359806 \nL 109.422173 152.280899 \nL 107.314848 152.910304 \nL 104.94202 153.20031 \nL 102.341069 153.09576 \nL 100.972077 152.87672 \nL 99.569606 152.53618 \nL 98.145121 152.066579 \nL 96.712146 151.460878 \nL 95.286408 150.71295 \nL 93.885906 149.818063 \nL 92.530886 148.773432 \nL 91.243698 147.578835 \nL 90.048528 146.237278 \nL 88.970918 144.755664 \nL 88.037143 143.14539 \nL 87.273366 141.422861 \nL 86.704624 139.609784 \nL 86.353671 137.733199 \nL 86.239747 135.825152 \nL 86.377336 133.921981 \nL 86.775056 132.063154 \nL 87.434767 130.289738 \nL 88.351008 128.642544 \nL 89.510887 127.160109 \nL 90.894399 125.876691 \nL 92.475243 124.820462 \nL 94.222015 124.012116 \nL 96.099712 123.464003 \nL 98.071385 123.179856 \nL 100.099795 123.15518 \nL 102.148939 123.378143 \nL 104.18533 123.830869 \nL 106.178969 124.490969 \nL 108.103973 125.333155 \nL 109.938894 126.330748 \nL 111.666727 127.457004 \nL 113.274728 128.686177 \nL 114.754039 129.994316 \nL 116.099221 131.359758 \nL 117.307735 132.763403 \nL 118.379415 134.188792 \nL 120.120431 137.051601 \nL 121.350045 139.864207 \nL 122.106223 142.572729 \nL 122.428175 145.144922 \nL 122.350549 147.562646 \nL 121.900123 149.815725 \nL 121.094338 151.897157 \nL 119.941134 153.799321 \nL 118.439749 155.510745 \nL 116.582342 157.013141 \nL 114.356482 158.278392 \nL 111.748755 159.265314 \nL 110.298468 159.637122 \nL 108.749958 159.916254 \nL 107.103937 160.092389 \nL 105.362451 160.153807 \nL 103.529276 160.087378 \nL 101.610362 159.878565 \nL 99.614349 159.511568 \nL 97.553102 158.969536 \nL 95.442284 158.234944 \nL 93.301944 157.290162 \nL 91.157027 156.11825 \nL 89.037813 154.70401 \nL 86.980155 153.035345 \nL 85.025443 151.104864 \nL 83.220187 148.911783 \nL 81.615088 146.46393 \nL 80.263531 143.779771 \nL 79.219415 140.890151 \nL 78.534353 137.839505 \nL 78.254347 134.686139 \nL 78.416194 131.501283 \nL 79.043943 128.366683 \nL 80.145897 125.370602 \nL 81.712596 122.602546 \nL 83.716199 120.147077 \nL 86.111497 118.077527 \nL 88.838532 116.450433 \nL 91.826565 115.301539 \nL 94.998841 114.643894 \nL 98.277584 114.468312 \nL 101.588554 114.745969 \nL 104.864738 115.432583 \nL 108.048866 116.473445 \nL 111.094737 117.80852 \nL 113.967467 119.377055 \nL 116.642889 121.121208 \nL 119.106406 122.988578 \nL 121.351531 124.933682 \nL 123.378339 126.918506 \nL 125.191973 128.912388 \nL 126.801292 130.89143 \nL 128.217708 132.837682 \nL 130.524619 136.584201 \nL 132.222919 140.092858 \nL 133.419807 143.346095 \nL 134.210095 146.349925 \nL 134.672121 149.122261 \nL 134.866891 151.685923 \nL 134.838966 154.064651 \nL 134.61814 156.281008 \nL 134.221287 158.355351 \nL 133.654027 160.305404 \nL 132.91204 162.146098 \nL 131.981941 163.889469 \nL 130.841741 165.54443 \nL 129.460923 167.116256 \nL 127.80024 168.605621 \nL 125.81136 170.00694 \nL 123.436602 171.305733 \nL 120.609127 172.474587 \nL 117.254242 173.467187 \nL 113.292872 174.209796 \nL 111.060539 174.454006 \nL 108.648932 174.589569 \nL 106.051291 174.593812 \nL 103.263327 174.439614 \nL 100.284309 174.094873 \nL 97.118426 173.522069 \nL 93.776471 172.678017 \nL 90.277845 171.513938 \nL 86.652901 169.976078 \nL 82.945494 168.007123 \nL 79.215639 165.548685 \nL 75.541927 162.545266 \nL 72.02328 158.949977 \nL 68.779359 154.732163 \nL 65.948852 149.886862 \nL 63.684722 144.445408 \nL 62.145682 138.485831 \nL 61.483584 132.140881 \nL 61.827329 125.600763 \nL 63.265039 119.107664 \nL 65.827607 112.939921 \nL 69.477401 107.386039 \nL 74.105764 102.711596 \nL 79.541217 99.125303 \nL 85.567582 96.751892 \nL 91.948489 95.618469 \nL 98.45291 95.657532 \nL 104.876481 96.724951 \nL 111.055239 98.627393 \nL 116.87092 101.152003 \nL 122.24918 104.092102 \nL 127.153235 107.265222 \nL 131.575572 110.52263 \nL 135.529633 113.751608 \nL 139.042661 116.872839 \nL 142.150083 119.83504 \nL 147.307468 125.180815 \nL 151.322942 129.716963 \nL 160.294456 140.183661 \nL 162.234756 141.963151 \nL 164.151289 143.309709 \nL 166.132453 144.252151 \nL 168.243326 144.804535 \nL 170.528478 144.968943 \nL 173.012886 144.738719 \nL 175.70086 144.102503 \nL 178.57301 143.049501 \nL 181.581561 141.576572 \nL 184.644769 139.697399 \nL 187.641852 137.453607 \nL 190.41083 134.926571 \nL 192.752606 132.247047 \nL 193.694143 130.905356 \nL 194.445081 129.597811 \nL 194.97847 128.353699 \nL 195.269977 127.203328 \nL 195.299289 126.176707 \nL 195.051538 125.302034 \nL 194.518586 124.604053 \nL 193.700044 124.10245 \nL 192.60391 123.810484 \nL 191.246669 123.733989 \nL 189.652855 123.870925 \nL 187.854035 124.211571 \nL 185.887305 124.739337 \nL 181.614858 126.264167 \nL 177.169781 128.235307 \nL 172.854875 130.441026 \nL 168.902414 132.711256 \nL 165.46063 134.935329 \nL 162.600951 137.056991 \nL 160.336335 139.057683 \nL 158.642033 140.938419 \nL 157.473647 142.705956 \nL 156.780588 144.364613 \nL 156.514972 145.912658 \nL 156.636839 147.341492 \nL 157.116727 148.636093 \nL 157.936467 149.775748 \nL 159.088849 150.734523 \nL 160.576535 151.481274 \nL 162.410377 151.97924 \nL 164.607091 152.185369 \nL 167.186025 152.049654 \nL 170.164585 151.514957 \nL 173.551707 150.518021 \nL 177.338605 148.992756 \nL 181.486097 146.877326 \nL 183.670544 145.583148 \nL 185.908209 144.126992 \nL 188.177859 142.509301 \nL 190.452886 140.734626 \nL 192.700814 138.812711 \nL 194.882959 136.759624 \nL 196.9544 134.598859 \nL 198.864329 132.362263 \nL 200.556957 130.090616 \nL 201.973063 127.833631 \nL 203.052304 125.649183 \nL 203.736278 123.601482 \nL 203.972277 121.758126 \nL 203.717514 120.18598 \nL 202.943403 118.946138 \nL 201.639395 118.088429 \nL 199.815764 117.646206 \nL 197.504739 117.632298 \nL 194.759619 118.036901 \nL 191.651738 118.828055 \nL 188.265592 119.9548 \nL 184.69274 121.352545 \nL 181.02536 122.949819 \nL 173.744534 126.463227 \nL 166.981453 130.020038 \nL 161.074865 133.333669 \nL 156.157754 136.302817 \nL 152.215472 138.947938 \nL 149.148789 141.341901 \nL 146.822484 143.562766 \nL 145.096161 145.671482 \nL 143.840924 147.706596 \nL 142.946688 149.687423 \nL 142.323954 151.61986 \nL 141.750286 154.422363 \nL 141.465306 157.091439 \nL 141.359858 160.408059 \nL 141.501203 164.124267 \nL 141.877226 167.347043 \nL 142.368559 169.571727 \nL 142.88506 171.03396 \nL 143.572104 172.314613 \nL 144.486069 173.402362 \nL 145.2585 174.010252 \nL 146.194814 174.513129 \nL 147.330806 174.89695 \nL 148.710062 175.142238 \nL 150.385428 175.222204 \nL 152.420566 175.100176 \nL 154.891435 174.726137 \nL 157.887343 174.032108 \nL 161.510872 172.926224 \nL 165.875416 171.285568 \nL 171.098135 168.948467 \nL 174.065431 167.456044 \nL 177.284605 165.70847 \nL 180.762237 163.673037 \nL 184.499359 161.315162 \nL 188.489163 158.599598 \nL 192.714137 155.492405 \nL 197.142587 151.963899 \nL 201.724569 147.992857 \nL 206.387344 143.572238 \nL 211.030694 138.716559 \nL 215.522657 133.470815 \nL 219.696613 127.920446 \nL 223.351123 122.201096 \nL 226.254265 116.50595 \nL 228.154567 111.087315 \nL 228.800221 106.248206 \nL 227.967296 102.319693 \nL 225.494988 99.62183 \nL 221.322559 98.410616 \nL 215.518637 98.82065 \nL 208.291798 100.820122 \nL 199.974104 104.196792 \nL 190.977348 108.586396 \nL 181.732355 113.539251 \nL 163.972388 123.403622 \nL 155.966879 127.675286 \nL 148.719699 131.281977 \nL 142.261322 134.191428 \nL 136.56931 136.444605 \nL 131.590037 138.123481 \nL 127.25511 139.32553 \nL 123.492213 140.146981 \nL 120.231462 140.673692 \nL 120.231462 140.673692 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p4843e05dfb\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     }
diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index c643474b..3c59ee3b 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -100,11 +100,11 @@ def fit(self, x, optim, optim_params=None, max_epochs=10, batch_size=128):
         """Fits model to the given data.
 
         Args:
-            x (torch.Tensor): Data from original ODE
+            x (torch.Tensor): Original time series data
             max_epochs (int): Number of training epochs
             batch_size (int): Batch size for torch.utils.data.DataLoader
         """
-        dataset = TensorDataset(x, x)
+        dataset = TensorDataset(x)
         loader = DataLoader(dataset, batch_size=batch_size, shuffle=True)
 
         if optim_params is not None:
@@ -123,7 +123,7 @@ def fit(self, x, optim, optim_params=None, max_epochs=10, batch_size=128):
 
 
     def _step(self, batch, batch_idx, num_batches):
-        (x,_) = batch
+        (x,) = batch
         nt = x.shape[0]
         pred = self(nt)
         return self.criterion(pred, x)

From 934bdcc5d3b15d86b29078bfb3c9ab98fc33d7ad Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 01:53:22 -0400
Subject: [PATCH 14/73] Update Lorenz63Train.ipynb

---
 examples/ode/lorenz63/Lorenz63Train.ipynb | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/examples/ode/lorenz63/Lorenz63Train.ipynb b/examples/ode/lorenz63/Lorenz63Train.ipynb
index 167eba02..543db5b6 100644
--- a/examples/ode/lorenz63/Lorenz63Train.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train.ipynb
@@ -67,8 +67,7 @@
     "    init_coeffs=ode_coeffs,\n",
     "    dt=0.01,\n",
     "    solver=\"rk4\",\n",
-    "    optimizer=torch.optim.SGD,\n",
-    "    optimizer_args={\"lr\": 0.01}\n",
+    "    optimizer=None,\n",
     ")\n",
     "\n",
     "result = ode_solver(1000)"
@@ -227,7 +226,7 @@
   },
   {
    "source": [
-    "# Re-calculate using 4th order Runge-Kutta"
+    "# Re-calculate using 4th Order Runge-Kutta"
    ],
    "cell_type": "markdown",
    "metadata": {}

From 3bbfc6b54058aa8503e4e9d5c759e4f8150f508c Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 10:23:32 -0400
Subject: [PATCH 15/73] Added a test for the Duffing Equation

---
 .../ode/DuffingEquation/DuffingTest.ipynb     | 429 ++++++++++++++++++
 examples/ode/SEIR/SEIR_Test.ipynb             | 407 +++++++++++++++++
 .../rosslerAttractorTest.ipynb                | 276 -----------
 .../secondOrderExampleTest.ipynb              | 241 ----------
 torchts/nn/models/ode.py                      |  15 +-
 5 files changed, 848 insertions(+), 520 deletions(-)
 create mode 100644 examples/ode/DuffingEquation/DuffingTest.ipynb
 create mode 100644 examples/ode/SEIR/SEIR_Test.ipynb
 delete mode 100644 examples/ode/rossler_attractor/rosslerAttractorTest.ipynb
 delete mode 100644 examples/ode/second_order_example/secondOrderExampleTest.ipynb

diff --git a/examples/ode/DuffingEquation/DuffingTest.ipynb b/examples/ode/DuffingEquation/DuffingTest.ipynb
new file mode 100644
index 00000000..75d6cd6c
--- /dev/null
+++ b/examples/ode/DuffingEquation/DuffingTest.ipynb
@@ -0,0 +1,429 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "import numpy as np\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Duffing equation: Second order ODE system\n",
+    "dt = 0.01\n",
+    "\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x_\"]\n",
+    "\n",
+    "def x_prime_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"g\"]*torch.cos(coeffs[\"w\"]*prev_val[\"t\"]) - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n",
+    "\n",
+    "def t_prime(prev_val, coeffs):\n",
+    "    return dt\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"t\": t_prime}\n",
+    "\n",
+    "# Initial conditions [0,0,0]\n",
+    "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2, \"g\": 0.8, \"w\": 0.5}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Coeffs:  {'a': Parameter containing:\ntensor(0.1000, requires_grad=True), 'b': Parameter containing:\ntensor(0.5000, requires_grad=True), 'd': Parameter containing:\ntensor(0.2000, requires_grad=True), 'g': Parameter containing:\ntensor(0.8000, requires_grad=True), 'w': Parameter containing:\ntensor(0.5000, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
+       "        [3.9973e-05, 7.9920e-03, 1.0000e-04],\n",
+       "        [1.5979e-04, 1.5968e-02, 2.0000e-04],\n",
+       "        ...,\n",
+       "        [7.7501e-01, 1.1140e-01, 9.9701e-02],\n",
+       "        [7.7615e-01, 1.1605e-01, 9.9801e-02],\n",
+       "        [7.7733e-01, 1.2069e-01, 9.9901e-02]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 43
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T10:10:34.073988</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mb8d65ce7b5\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#mb8d65ce7b5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(41.56554 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.69353\" xlink:href=\"#mb8d65ce7b5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(106.560718 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.688708\" xlink:href=\"#mb8d65ce7b5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(171.555896 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.683886\" xlink:href=\"#mb8d65ce7b5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(236.551074 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.679064\" xlink:href=\"#mb8d65ce7b5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(301.546252 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.674242\" xlink:href=\"#mb8d65ce7b5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(366.54143 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m4f6b3df876\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m4f6b3df876\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m4f6b3df876\" y=\"224.660781\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.46)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m4f6b3df876\" y=\"188.105562\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 191.904781)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m4f6b3df876\" y=\"151.550343\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 155.349562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m4f6b3df876\" y=\"114.995124\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 118.794343)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m4f6b3df876\" y=\"78.439905\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 82.239124)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m4f6b3df876\" y=\"41.884686\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 45.683905)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pe42d7c6129)\" d=\"M 52.698352 261.216 \nL 53.998256 261.122669 \nL 55.298159 260.843683 \nL 56.923038 260.236196 \nL 58.547917 259.344019 \nL 60.172796 258.170207 \nL 61.797677 256.717857 \nL 63.422557 254.990103 \nL 65.372414 252.557748 \nL 67.322267 249.738978 \nL 69.272119 246.539483 \nL 71.546946 242.333332 \nL 73.821773 237.626467 \nL 76.096601 232.428886 \nL 78.696404 225.901549 \nL 81.296206 218.764278 \nL 84.220984 210.029687 \nL 87.145762 200.578717 \nL 90.395516 189.282979 \nL 93.970244 175.964801 \nL 97.869948 160.491734 \nL 102.419603 141.433395 \nL 108.91911 113.090869 \nL 115.743592 83.524843 \nL 119.318321 68.917847 \nL 122.243099 57.795983 \nL 124.842902 48.744838 \nL 127.117729 41.606908 \nL 129.067581 36.154735 \nL 131.017433 31.38317 \nL 132.64231 27.966942 \nL 134.267186 25.089661 \nL 135.567088 23.191437 \nL 136.866989 21.662278 \nL 138.16689 20.509207 \nL 139.141816 19.894089 \nL 140.116742 19.494172 \nL 141.091668 19.309701 \nL 142.066594 19.340065 \nL 143.04152 19.583871 \nL 144.016446 20.038922 \nL 144.991372 20.702254 \nL 146.291274 21.904114 \nL 147.591175 23.45874 \nL 148.891077 25.353181 \nL 150.515953 28.176252 \nL 152.14083 31.474124 \nL 154.090682 36.007009 \nL 156.04057 41.103294 \nL 158.31544 47.665082 \nL 160.915291 55.83262 \nL 164.165105 66.787584 \nL 169.039826 84.099453 \nL 176.839379 111.825282 \nL 180.739156 124.868318 \nL 183.98897 135.035406 \nL 186.913802 143.532641 \nL 189.838635 151.341033 \nL 192.438486 157.661908 \nL 195.038337 163.371064 \nL 197.313207 167.849085 \nL 199.588077 171.834065 \nL 201.537965 174.85238 \nL 203.487853 177.50109 \nL 205.437742 179.778862 \nL 207.38763 181.6854 \nL 209.012537 182.991017 \nL 210.637444 184.040087 \nL 212.262351 184.833785 \nL 213.887258 185.373645 \nL 215.512165 185.661508 \nL 217.137072 185.699516 \nL 218.761979 185.49011 \nL 220.386886 185.036026 \nL 222.011793 184.340273 \nL 223.6367 183.406134 \nL 225.261607 182.237201 \nL 227.211495 180.530038 \nL 229.161383 178.497692 \nL 231.111272 176.148174 \nL 233.386141 173.017979 \nL 235.661011 169.483501 \nL 237.935881 165.561874 \nL 240.535732 160.630502 \nL 243.460565 154.548098 \nL 246.385397 147.949828 \nL 249.635211 140.086101 \nL 253.534988 130.039879 \nL 258.409709 116.826535 \nL 270.109039 84.843995 \nL 273.683834 75.87882 \nL 276.608666 69.12775 \nL 279.208518 63.682393 \nL 281.483387 59.418276 \nL 283.433276 56.177978 \nL 285.383164 53.352484 \nL 287.008071 51.333813 \nL 288.632978 49.634301 \nL 290.257885 48.264356 \nL 291.882792 47.231785 \nL 293.182717 46.652173 \nL 294.482643 46.293114 \nL 295.782569 46.154765 \nL 297.082494 46.236115 \nL 298.38242 46.534968 \nL 299.682345 47.048011 \nL 300.982271 47.770835 \nL 302.607178 48.960894 \nL 304.232085 50.457231 \nL 305.856992 52.244751 \nL 307.80688 54.749988 \nL 309.756768 57.617177 \nL 312.031638 61.372173 \nL 314.631489 66.130352 \nL 317.556322 71.966632 \nL 321.131117 79.604881 \nL 327.305763 93.443088 \nL 333.805391 107.841401 \nL 337.705168 115.951435 \nL 340.954982 122.238093 \nL 343.879814 127.452465 \nL 346.804647 132.193073 \nL 349.404498 135.97548 \nL 351.679368 138.932682 \nL 353.954238 141.54796 \nL 356.229107 143.811718 \nL 358.178996 145.46685 \nL 360.128884 146.855403 \nL 362.078772 147.975425 \nL 364.028661 148.826105 \nL 365.978549 149.407616 \nL 367.928437 149.721137 \nL 369.878326 149.768767 \nL 371.828214 149.553522 \nL 373.778102 149.079297 \nL 375.727991 148.350852 \nL 377.352898 147.553641 \nL 377.352898 147.553641 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe42d7c6129\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,2], result_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0., \"g\": 0., \"w\": 0.}\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T10:13:39.411604</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m94ed9cfa54\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m94ed9cfa54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(49.945227 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073218\" xlink:href=\"#m94ed9cfa54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(114.940405 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068396\" xlink:href=\"#m94ed9cfa54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(179.935583 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063574\" xlink:href=\"#m94ed9cfa54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(244.930761 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058752\" xlink:href=\"#m94ed9cfa54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(309.925939 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.05393\" xlink:href=\"#m94ed9cfa54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(374.921117 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mcfedb99541\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mcfedb99541\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mcfedb99541\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mcfedb99541\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mcfedb99541\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mcfedb99541\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p9f479d4fa2)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9f479d4fa2\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "n:  1000\n",
+      "Epoch: 0\t Loss: tensor(0.4499, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 1\t Loss: tensor(1.1035, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 2\t Loss: tensor(0.2227, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 3\t Loss: tensor(0.3194, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 4\t Loss: tensor(0.3879, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 5\t Loss: tensor(0.4162, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 6\t Loss: tensor(0.4207, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 7\t Loss: tensor(0.4132, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 8\t Loss: tensor(0.4000, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 9\t Loss: tensor(0.3844, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 10\t Loss: tensor(0.3682, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 11\t Loss: tensor(0.3524, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 12\t Loss: tensor(0.3375, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 13\t Loss: tensor(0.3237, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 14\t Loss: tensor(0.3110, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 15\t Loss: tensor(0.2993, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 16\t Loss: tensor(0.2886, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 17\t Loss: tensor(0.2787, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 18\t Loss: tensor(0.2695, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 19\t Loss: tensor(0.2609, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 20\t Loss: tensor(0.2527, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 21\t Loss: tensor(0.2450, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 22\t Loss: tensor(0.2376, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 23\t Loss: tensor(0.2306, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 24\t Loss: tensor(0.2237, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 25\t Loss: tensor(0.2172, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 26\t Loss: tensor(0.2108, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 27\t Loss: tensor(0.2046, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 28\t Loss: tensor(0.1985, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 29\t Loss: tensor(0.1927, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 30\t Loss: tensor(0.1869, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 31\t Loss: tensor(0.1813, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 32\t Loss: tensor(0.1758, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 33\t Loss: tensor(0.1704, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 34\t Loss: tensor(0.1651, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 35\t Loss: tensor(0.1598, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 36\t Loss: tensor(0.1547, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 37\t Loss: tensor(0.1496, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 38\t Loss: tensor(0.1446, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 39\t Loss: tensor(0.1396, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 40\t Loss: tensor(0.1347, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 41\t Loss: tensor(0.1299, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 42\t Loss: tensor(0.1251, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 43\t Loss: tensor(0.1203, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 44\t Loss: tensor(0.1155, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 45\t Loss: tensor(0.1108, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 46\t Loss: tensor(0.1061, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 47\t Loss: tensor(0.1015, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 48\t Loss: tensor(0.0968, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 49\t Loss: tensor(0.0922, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 50\t Loss: tensor(0.0876, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 51\t Loss: tensor(0.0831, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 52\t Loss: tensor(0.0786, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 53\t Loss: tensor(0.0741, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 54\t Loss: tensor(0.0696, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 55\t Loss: tensor(0.0652, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 56\t Loss: tensor(0.0608, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 57\t Loss: tensor(0.0565, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 58\t Loss: tensor(0.0522, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 59\t Loss: tensor(0.0481, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 60\t Loss: tensor(0.0440, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 61\t Loss: tensor(0.0400, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 62\t Loss: tensor(0.0362, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 63\t Loss: tensor(0.0325, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 64\t Loss: tensor(0.0290, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 65\t Loss: tensor(0.0256, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 66\t Loss: tensor(0.0225, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 67\t Loss: tensor(0.0195, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 68\t Loss: tensor(0.0168, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 69\t Loss: tensor(0.0144, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 70\t Loss: tensor(0.0122, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 71\t Loss: tensor(0.0103, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 72\t Loss: tensor(0.0088, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 73\t Loss: tensor(0.0075, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 74\t Loss: tensor(0.0065, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 75\t Loss: tensor(0.0057, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 76\t Loss: tensor(0.0052, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 77\t Loss: tensor(0.0050, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 78\t Loss: tensor(0.0049, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 79\t Loss: tensor(0.0049, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 80\t Loss: tensor(0.0051, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 81\t Loss: tensor(0.0053, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 82\t Loss: tensor(0.0055, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 83\t Loss: tensor(0.0056, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 84\t Loss: tensor(0.0057, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 85\t Loss: tensor(0.0057, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 86\t Loss: tensor(0.0057, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 87\t Loss: tensor(0.0055, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 88\t Loss: tensor(0.0053, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 89\t Loss: tensor(0.0051, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 90\t Loss: tensor(0.0048, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 91\t Loss: tensor(0.0045, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 92\t Loss: tensor(0.0042, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 93\t Loss: tensor(0.0039, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 94\t Loss: tensor(0.0037, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 95\t Loss: tensor(0.0035, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 96\t Loss: tensor(0.0033, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 97\t Loss: tensor(0.0031, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 98\t Loss: tensor(0.0029, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 99\t Loss: tensor(0.0028, grad_fn=<MseLossBackward>)\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.1},\n",
+    "    max_epochs=100\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'a': Parameter containing:\n",
+       " tensor(0.2094, requires_grad=True),\n",
+       " 'b': Parameter containing:\n",
+       " tensor(0.5433, requires_grad=True),\n",
+       " 'd': Parameter containing:\n",
+       " tensor(0.2215, requires_grad=True),\n",
+       " 'g': Parameter containing:\n",
+       " tensor(0.8145, requires_grad=True),\n",
+       " 'w': Parameter containing:\n",
+       " tensor(0., requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 54
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs\n",
+    "\n",
+    "# The coefficients differ by at most 0.1 from the original with the exception of \"w\". THe graphs look similar.\n",
+    "# TODO: Investigate why \"w\" isn't learning"
+   ]
+  },
+  {
+   "source": [
+    "# Re-calculate using 4th Order Runge-Kutta"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
+       "        [0.0000e+00, 8.1448e-03, 1.0000e-04],\n",
+       "        [8.1448e-05, 1.6272e-02, 2.0000e-04],\n",
+       "        ...,\n",
+       "        [7.2694e-01, 1.4097e-01, 9.9701e-02],\n",
+       "        [7.2835e-01, 1.4519e-01, 9.9801e-02],\n",
+       "        [7.2980e-01, 1.4939e-01, 9.9901e-02]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 55
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T10:20:09.523266</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m359cf4dc54\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m359cf4dc54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(35.20304 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.33103\" xlink:href=\"#m359cf4dc54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(100.198218 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.326208\" xlink:href=\"#m359cf4dc54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(165.193396 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.321386\" xlink:href=\"#m359cf4dc54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(230.188574 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.316564\" xlink:href=\"#m359cf4dc54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(295.183752 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.311742\" xlink:href=\"#m359cf4dc54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(360.17893 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"ma2819b17d2\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"229.972033\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 233.771252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"198.728066\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 202.527285)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"167.484099\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 171.283318)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"136.240132\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 140.039351)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"104.996165\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 108.795384)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"73.752198\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.2 -->\n      <g transform=\"translate(7.2 77.551417)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"42.508231\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 1.4 -->\n      <g transform=\"translate(7.2 46.30745)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"11.264264\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 1.6 -->\n      <g transform=\"translate(7.2 15.063483)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p764bff117d)\" d=\"M 46.335852 261.216 \nL 47.635756 261.13977 \nL 48.935659 260.861325 \nL 50.235562 260.382527 \nL 51.535465 259.705287 \nL 53.160344 258.582673 \nL 54.785225 257.157002 \nL 56.410105 255.432328 \nL 58.034986 253.412822 \nL 59.984841 250.60628 \nL 61.934693 247.38899 \nL 63.884545 243.768847 \nL 66.159372 239.047125 \nL 68.434199 233.801804 \nL 71.034002 227.184431 \nL 73.633805 219.924837 \nL 76.558583 211.021408 \nL 79.483361 201.376812 \nL 82.733114 189.84737 \nL 86.307843 176.263058 \nL 90.207547 160.50599 \nL 94.757202 141.148165 \nL 102.231635 108.163373 \nL 108.081191 82.757682 \nL 111.655919 68.14632 \nL 114.580697 57.058793 \nL 117.1805 48.063712 \nL 119.455328 40.991776 \nL 121.40518 35.606754 \nL 123.355032 30.910293 \nL 124.979908 27.561605 \nL 126.604785 24.755383 \nL 127.904686 22.916022 \nL 129.204588 21.447052 \nL 130.504489 20.355212 \nL 131.479415 19.786545 \nL 132.454341 19.433418 \nL 133.429267 19.296 \nL 134.404193 19.373601 \nL 135.379119 19.664788 \nL 136.354045 20.167326 \nL 137.328971 20.878216 \nL 138.628872 22.143639 \nL 139.928774 23.761947 \nL 141.228675 25.720271 \nL 142.853552 28.623499 \nL 144.478429 32.00202 \nL 146.428281 36.632445 \nL 148.378145 41.827234 \nL 150.653014 48.505223 \nL 153.252866 56.80718 \nL 156.50268 67.931654 \nL 161.3774 85.496229 \nL 169.176954 113.596023 \nL 173.07673 126.796592 \nL 176.326544 137.072628 \nL 179.251377 145.646907 \nL 182.176209 153.509691 \nL 184.776061 159.857999 \nL 187.05093 164.894457 \nL 189.3258 169.432065 \nL 191.60067 173.460347 \nL 193.550558 176.502204 \nL 195.500446 179.161575 \nL 197.450335 181.436897 \nL 199.400223 183.327755 \nL 201.02513 184.610269 \nL 202.650037 185.62717 \nL 204.274944 186.379794 \nL 205.899851 186.869873 \nL 207.524758 187.099507 \nL 209.149665 187.071168 \nL 210.774572 186.787663 \nL 212.399479 186.252149 \nL 214.024386 185.468098 \nL 215.649293 184.43933 \nL 217.2742 183.169996 \nL 219.224088 181.335598 \nL 221.173976 179.169742 \nL 223.123865 176.681691 \nL 225.398734 173.385231 \nL 227.673604 169.681574 \nL 230.273455 164.975215 \nL 232.873306 159.794746 \nL 235.798139 153.445153 \nL 239.047953 145.8109 \nL 242.622748 136.814757 \nL 246.847506 125.56145 \nL 253.672115 106.63208 \nL 259.846762 89.701717 \nL 263.746539 79.646697 \nL 266.671371 72.655249 \nL 269.271222 66.954066 \nL 271.546092 62.434225 \nL 273.820962 58.409546 \nL 275.77085 55.39188 \nL 277.720738 52.802353 \nL 279.345645 50.988525 \nL 280.970552 49.499534 \nL 282.595459 48.344023 \nL 283.895385 47.663935 \nL 285.19531 47.203113 \nL 286.495236 46.962319 \nL 287.795162 46.941108 \nL 289.095087 47.137988 \nL 290.395013 47.550261 \nL 291.694938 48.174145 \nL 293.319845 49.24414 \nL 294.944752 50.625546 \nL 296.569659 52.304397 \nL 298.519547 54.689054 \nL 300.469436 57.447881 \nL 302.744306 61.093658 \nL 305.344157 65.751644 \nL 308.268989 71.508341 \nL 311.843785 79.097658 \nL 317.043487 90.752846 \nL 325.168022 108.951138 \nL 329.067798 117.124765 \nL 332.317612 123.461006 \nL 335.242445 128.71523 \nL 337.842296 132.984129 \nL 340.442147 136.843185 \nL 342.717017 139.864119 \nL 344.991886 142.539088 \nL 347.266756 144.857801 \nL 349.216645 146.555851 \nL 351.166533 147.983144 \nL 353.116421 149.137556 \nL 355.06631 150.018147 \nL 357.016198 150.625057 \nL 358.966086 150.959505 \nL 360.590993 151.031622 \nL 362.540882 150.872955 \nL 364.49077 150.450561 \nL 366.440658 149.7693 \nL 368.390547 148.834982 \nL 370.340435 147.654255 \nL 370.990398 147.207214 \nL 370.990398 147.207214 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p764bff117d\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/examples/ode/SEIR/SEIR_Test.ipynb b/examples/ode/SEIR/SEIR_Test.ipynb
new file mode 100644
index 00000000..0b430b81
--- /dev/null
+++ b/examples/ode/SEIR/SEIR_Test.ipynb
@@ -0,0 +1,407 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Rossler Attractor equations\n",
+    "dt = 0.01\n",
+    "\n",
+    "def s_prime(prev_val, coeffs):\n",
+    "    return - coeffs[\"g1\"]*prev_val[\"s\"]*prev_val[\"i\"]\n",
+    "\n",
+    "def e_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"g1\"]*prev_val[\"s\"]*prev_val[\"i\"] - coeffs[\"g2\"]*prev_val[\"e\"]\n",
+    "\n",
+    "def i_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"g2\"]*prev_val[\"e\"] - coeffs[\"a\"]*prev_val[\"i\"]\n",
+    "\n",
+    "def r_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"a\"]*prev_val[\"i\"]\n",
+    "\n",
+    "ode = {\"s\": s_prime, \"e\": e_prime, \"i\": i_prime, \"r\": r_prime}\n",
+    "\n",
+    "# Initial conditions [0,0,0]\n",
+    "ode_init = {\"s\": 0.1, \"e\": 0.9, \"i\": 0, \"r\": 0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"a\": 0.1, \"g1\": 0.3, \"g2\": 0.2}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Coeffs:  {'a': Parameter containing:\ntensor(0.1000, requires_grad=True), 'g1': Parameter containing:\ntensor(0.3000, requires_grad=True), 'g2': Parameter containing:\ntensor(0.2000, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=torch.optim.SGD,\n",
+    "    optimizer_args={\"lr\": 0.01}\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
+       "        [1.0000e-01, 8.9820e-01, 1.7973e-03, 8.9910e-07],\n",
+       "        [9.9999e-02, 8.9641e-01, 3.5892e-03, 3.5928e-06],\n",
+       "        ...,\n",
+       "        [3.3031e-02, 1.5079e-01, 4.4694e-01, 3.6924e-01],\n",
+       "        [3.2987e-02, 1.5053e-01, 4.4679e-01, 3.6969e-01],\n",
+       "        [3.2943e-02, 1.5028e-01, 4.4664e-01, 3.7014e-01]],\n",
+       "       grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 5
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T09:35:36.759060</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mc010e63896\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#mc010e63896\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#mc010e63896\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#mc010e63896\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#mc010e63896\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#mc010e63896\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#mc010e63896\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m42bcb7f451\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m42bcb7f451\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m42bcb7f451\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m42bcb7f451\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m42bcb7f451\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m42bcb7f451\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pb4c11c1a1a)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pb4c11c1a1a)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pb4c11c1a1a)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pb4c11c1a1a)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb4c11c1a1a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plots\n",
+    "plt.plot(result_np[:,0])\n",
+    "plt.plot(result_np[:,1])\n",
+    "plt.plot(result_np[:,2])\n",
+    "plt.plot(result_np[:,3])\n",
+    "\n",
+    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"a\": 0., \"g1\": 0., \"g2\": 0.}\n",
+    "\n",
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T09:37:56.990785</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m70ef99b495\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m70ef99b495\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m70ef99b495\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m70ef99b495\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m70ef99b495\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m70ef99b495\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m70ef99b495\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"ma4e9bd705c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma4e9bd705c\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma4e9bd705c\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma4e9bd705c\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma4e9bd705c\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma4e9bd705c\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p280aba639f)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p280aba639f)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p280aba639f)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p280aba639f)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p280aba639f\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test = ode_solver(1000)\n",
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plots\n",
+    "plt.plot(results_test_np[:,0])\n",
+    "plt.plot(results_test_np[:,1])\n",
+    "plt.plot(results_test_np[:,2])\n",
+    "plt.plot(results_test_np[:,3])\n",
+    "\n",
+    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "n:  1000\n",
+      "Epoch: 0\t Loss: tensor(0.1190, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 1\t Loss: tensor(0.0977, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 2\t Loss: tensor(0.0801, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 3\t Loss: tensor(0.0658, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 4\t Loss: tensor(0.0546, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 5\t Loss: tensor(0.0456, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 6\t Loss: tensor(0.0384, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 7\t Loss: tensor(0.0323, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 8\t Loss: tensor(0.0272, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 9\t Loss: tensor(0.0228, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 10\t Loss: tensor(0.0191, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 11\t Loss: tensor(0.0158, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 12\t Loss: tensor(0.0131, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 13\t Loss: tensor(0.0108, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 14\t Loss: tensor(0.0089, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 15\t Loss: tensor(0.0074, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 16\t Loss: tensor(0.0062, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 17\t Loss: tensor(0.0053, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 18\t Loss: tensor(0.0046, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 19\t Loss: tensor(0.0041, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 20\t Loss: tensor(0.0037, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 21\t Loss: tensor(0.0034, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 22\t Loss: tensor(0.0032, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 23\t Loss: tensor(0.0030, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 24\t Loss: tensor(0.0028, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 25\t Loss: tensor(0.0027, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 26\t Loss: tensor(0.0025, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 27\t Loss: tensor(0.0023, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 28\t Loss: tensor(0.0021, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 29\t Loss: tensor(0.0019, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 30\t Loss: tensor(0.0017, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 31\t Loss: tensor(0.0015, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 32\t Loss: tensor(0.0013, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 33\t Loss: tensor(0.0011, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 34\t Loss: tensor(0.0010, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 35\t Loss: tensor(0.0009, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 36\t Loss: tensor(0.0009, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 37\t Loss: tensor(0.0008, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 38\t Loss: tensor(0.0008, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 39\t Loss: tensor(0.0008, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 40\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 41\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 42\t Loss: tensor(0.0006, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 43\t Loss: tensor(0.0006, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 44\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 45\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 46\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 47\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 48\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 49\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver.fit(result,torch.optim.Adam, {\"lr\": 0.01}, max_epochs=50)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'a': 0.10043926537036896,\n",
+       " 'g1': 0.06884637475013733,\n",
+       " 'g2': 0.19648335874080658}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 28
+    }
+   ],
+   "source": [
+    "ode_solver.get_coeffs()\n",
+    "\n",
+    "# \"a\" and \"g2\" match. \"g1\" is off, but the difference it makes on the trajectories is not noticeable"
+   ]
+  },
+  {
+   "source": [
+    "# Re-calculate using 4th Order Runge-Kutta"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
+       "        [1.0000e-01, 8.9823e-01, 1.7684e-03, 0.0000e+00],\n",
+       "        [1.0000e-01, 8.9647e-01, 3.5314e-03, 1.7761e-06],\n",
+       "        ...,\n",
+       "        [5.2224e-02, 5.0797e-06, 1.4529e-04, 9.4763e-01],\n",
+       "        [5.2224e-02, 5.0749e-06, 1.4516e-04, 9.4763e-01],\n",
+       "        [5.2224e-02, 5.0702e-06, 1.4502e-04, 9.4763e-01]],\n",
+       "       grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 29
+    }
+   ],
+   "source": [
+    "ode_solver(10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
+       "        [1.0000e-01, 8.9823e-01, 1.7684e-03, 0.0000e+00],\n",
+       "        [1.0000e-01, 8.9647e-01, 3.5314e-03, 1.7761e-06],\n",
+       "        ...,\n",
+       "        [7.8164e-02, 1.3713e-01, 4.2534e-01, 3.5937e-01],\n",
+       "        [7.8141e-02, 1.3688e-01, 4.2518e-01, 3.5980e-01],\n",
+       "        [7.8118e-02, 1.3663e-01, 4.2502e-01, 3.6023e-01]],\n",
+       "       grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 30
+    }
+   ],
+   "source": [
+    "results_test = ode_solver(1000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T09:40:38.798477</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mefe6997dd4\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#mefe6997dd4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#mefe6997dd4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#mefe6997dd4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#mefe6997dd4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#mefe6997dd4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#mefe6997dd4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf6fb165998\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mf6fb165998\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mf6fb165998\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mf6fb165998\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mf6fb165998\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mf6fb165998\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p5329bd3d33)\" d=\"M 46.335852 234.335999 \nL 74.284091 234.44591 \nL 106.782044 234.802626 \nL 147.404485 235.482714 \nL 206.550758 236.718398 \nL 363.190889 240.069262 \nL 370.990398 240.217944 \nL 370.990398 240.217944 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p5329bd3d33)\" d=\"M 46.335852 19.296 \nL 52.835443 28.621223 \nL 59.335033 37.574646 \nL 66.159603 46.592043 \nL 72.984173 55.232914 \nL 79.808743 63.5132 \nL 86.633313 71.44833 \nL 93.457883 79.052995 \nL 100.607433 86.680684 \nL 107.756982 93.976611 \nL 114.906532 100.955596 \nL 122.056082 107.63177 \nL 129.530611 114.302257 \nL 137.00514 120.671279 \nL 144.479669 126.752807 \nL 152.279177 132.806681 \nL 160.078686 138.576546 \nL 167.878195 144.076133 \nL 176.002683 149.531516 \nL 184.127171 154.721819 \nL 192.576639 159.85285 \nL 201.026106 164.725698 \nL 209.800553 169.527114 \nL 218.575001 174.078855 \nL 227.674427 178.549783 \nL 237.098833 182.9276 \nL 246.52324 187.062808 \nL 256.272625 191.100116 \nL 266.346991 195.030286 \nL 276.746335 198.845232 \nL 287.47066 202.538072 \nL 298.519964 206.103075 \nL 309.894247 209.53559 \nL 321.59351 212.832077 \nL 333.617752 215.989992 \nL 346.291954 219.084212 \nL 359.291135 222.02645 \nL 370.990398 224.488914 \nL 370.990398 224.488914 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p5329bd3d33)\" d=\"M 46.335852 261.216 \nL 51.860504 253.325054 \nL 57.385156 245.826954 \nL 62.909808 238.706236 \nL 68.43446 231.948008 \nL 73.959112 225.537913 \nL 79.483764 219.462129 \nL 85.008416 213.707344 \nL 90.533068 208.260733 \nL 96.05772 203.109944 \nL 101.907351 197.965398 \nL 107.756982 193.125583 \nL 113.606614 188.577454 \nL 119.456245 184.308481 \nL 125.305877 180.306605 \nL 131.480488 176.359388 \nL 137.655099 172.683835 \nL 143.82971 169.26741 \nL 150.004321 166.098144 \nL 156.503911 163.016436 \nL 163.003502 160.182993 \nL 169.503092 157.585575 \nL 176.327662 155.099467 \nL 183.152232 152.847669 \nL 190.301782 150.726512 \nL 197.451331 148.83542 \nL 204.92586 147.090373 \nL 212.40039 145.568717 \nL 220.199898 144.204755 \nL 228.324386 143.01185 \nL 236.773854 142.001776 \nL 245.548301 141.184507 \nL 254.647728 140.568239 \nL 264.072134 140.159397 \nL 273.82152 139.962602 \nL 283.895885 139.980715 \nL 294.620209 140.225415 \nL 305.994493 140.71495 \nL 317.693756 141.440358 \nL 330.367957 142.452259 \nL 343.692118 143.739364 \nL 358.316196 145.380662 \nL 370.990398 146.970034 \nL 370.990398 146.970034 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p5329bd3d33)\" d=\"M 46.335852 261.216 \nL 53.485402 261.107875 \nL 60.959931 260.762981 \nL 68.43446 260.19684 \nL 76.233969 259.386575 \nL 84.358457 258.321452 \nL 92.807924 256.992785 \nL 101.907351 255.330741 \nL 111.331757 253.37895 \nL 121.406123 251.058189 \nL 131.805467 248.434739 \nL 143.179751 245.330363 \nL 155.203993 241.814944 \nL 168.203174 237.782235 \nL 182.502273 233.112095 \nL 198.751249 227.563552 \nL 217.275082 220.997435 \nL 240.348629 212.570202 \nL 275.121438 199.601846 \nL 327.443141 180.109402 \nL 355.71636 169.826856 \nL 370.990398 164.387127 \nL 370.990398 164.387127 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p5329bd3d33\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plots\n",
+    "plt.plot(results_test_np[:,0])\n",
+    "plt.plot(results_test_np[:,1])\n",
+    "plt.plot(results_test_np[:,2])\n",
+    "plt.plot(results_test_np[:,3])\n",
+    "\n",
+    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
+    "\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/examples/ode/rossler_attractor/rosslerAttractorTest.ipynb b/examples/ode/rossler_attractor/rosslerAttractorTest.ipynb
deleted file mode 100644
index d5ba4b19..00000000
--- a/examples/ode/rossler_attractor/rosslerAttractorTest.ipynb
+++ /dev/null
@@ -1,276 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Rossler Attractor equations\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return -prev_val[\"y\"]-prev_val[\"z\"]\n",
-    "\n",
-    "def y_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x\"]+coeffs[\"alpha\"]*prev_val[\"y\"]\n",
-    "\n",
-    "def z_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"beta\"] + prev_val[\"x\"]*prev_val[\"z\"]-coeffs[\"gamma\"]*prev_val[\"z\"]\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
-    "\n",
-    "# Initial conditions [0,0,0]\n",
-    "ode_init = {\"x\":0, \"y\":0, \"z\":0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"alpha\": 0.2, \"beta\": 0.2, \"gamma\": 5.7}\n"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's Method"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=torch.optim.SGD,\n",
-    "    optimizer_args={\"lr\": 0.01}\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(10000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 0.0000e+00,  0.0000e+00,  2.0000e-03],\n",
-       "        [-2.0000e-05,  0.0000e+00,  3.8860e-03],\n",
-       "        ...,\n",
-       "        [-5.3682e+00, -7.8848e+00,  1.7140e-02],\n",
-       "        [-5.2895e+00, -7.9542e+00,  1.7243e-02],\n",
-       "        [-5.2102e+00, -8.0230e+00,  1.7348e-02]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 16
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stderr",
-     "text": [
-      "<ipython-input-17-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T22:23:09.247585</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m7cec867028\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"37.428478\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10.0 -->\n      <g transform=\"translate(22.105821 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"211.035156\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"77.717523\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −7.5 -->\n      <g transform=\"translate(65.576117 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"118.006568\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −5.0 -->\n      <g transform=\"translate(105.865162 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"158.295614\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −2.5 -->\n      <g transform=\"translate(146.154208 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"198.584659\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.0 -->\n      <g transform=\"translate(190.633097 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"238.873705\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 2.5 -->\n      <g transform=\"translate(230.922142 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"279.16275\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 5.0 -->\n      <g transform=\"translate(271.211188 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"319.451796\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 7.5 -->\n      <g transform=\"translate(311.500233 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"359.740841\" xlink:href=\"#m7cec867028\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10.0 -->\n      <g transform=\"translate(348.608029 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mb27116798e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"230.26786\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 2.5 -->\n      <g transform=\"translate(13.5625 234.067079)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"199.31972\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 5.0 -->\n      <g transform=\"translate(13.5625 203.118939)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"168.37158\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 7.5 -->\n      <g transform=\"translate(13.5625 172.170798)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"137.42344\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 10.0 -->\n      <g transform=\"translate(7.2 141.222658)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"106.475299\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 12.5 -->\n      <g transform=\"translate(7.2 110.274518)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_16\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"75.527159\"/>\n      </g>\n     </g>\n     <g id=\"text_16\">\n      <!-- 15.0 -->\n      <g transform=\"translate(7.2 79.326378)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_17\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"44.579019\"/>\n      </g>\n     </g>\n     <g id=\"text_17\">\n      <!-- 17.5 -->\n      <g transform=\"translate(7.2 48.378238)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_18\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mb27116798e\" y=\"13.630879\"/>\n      </g>\n     </g>\n     <g id=\"text_18\">\n      <!-- 20.0 -->\n      <g transform=\"translate(7.2 17.430098)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_19\">\n    <path clip-path=\"url(#p606b68b1aa)\" d=\"M 198.584659 261.216 \nL 198.474494 260.83752 \nL 198.194736 260.784748 \nL 194.216264 260.800851 \nL 202.973743 260.764179 \nL 241.30399 260.44881 \nL 167.797841 260.889295 \nL 241.160016 260.439133 \nL 237.084955 260.437319 \nL 140.055632 260.949529 \nL 171.043327 260.898649 \nL 233.308264 260.651798 \nL 261.0389 260.3424 \nL 273.667177 260.007173 \nL 278.531797 259.695387 \nL 279.302639 259.508234 \nL 279.296861 259.495282 \nL 279.089371 259.419872 \nL 277.934056 259.296887 \nL 274.45926 259.17596 \nL 267.18664 259.170583 \nL 254.450592 259.415177 \nL 207.786383 260.476345 \nL 181.853664 260.750474 \nL 141.594569 260.924444 \nL 89.102747 261.017138 \nL 260.627529 260.520224 \nL 287.057655 260.161694 \nL 303.305708 259.735108 \nL 313.997212 259.255108 \nL 321.832731 258.69821 \nL 327.290757 258.119829 \nL 331.486055 257.489004 \nL 335.202583 256.698028 \nL 337.910441 255.886244 \nL 339.807643 255.115871 \nL 341.454022 254.219064 \nL 342.838205 253.176001 \nL 343.697043 252.284556 \nL 344.396242 251.288444 \nL 344.930178 250.17705 \nL 345.292888 248.939331 \nL 345.478177 247.564009 \nL 345.47953 246.039833 \nL 345.290152 244.355939 \nL 344.903021 242.502294 \nL 344.066699 239.752069 \nL 342.848456 236.67056 \nL 341.230832 233.253397 \nL 339.197046 229.5102 \nL 336.731819 225.468947 \nL 333.822458 221.180294 \nL 330.460109 216.721319 \nL 327.63872 213.327881 \nL 324.561383 209.952966 \nL 321.231586 206.660541 \nL 317.655653 203.521845 \nL 315.139478 201.552423 \nL 312.521629 199.708685 \nL 309.806348 198.014101 \nL 306.99853 196.491734 \nL 304.103723 195.16369 \nL 301.12806 194.050582 \nL 298.078256 193.170987 \nL 294.96152 192.540913 \nL 291.785483 192.173334 \nL 288.558128 192.077736 \nL 285.287694 192.259829 \nL 281.982564 192.721264 \nL 278.651145 193.459556 \nL 275.301776 194.468047 \nL 271.942616 195.736076 \nL 268.58152 197.249193 \nL 265.225956 198.989524 \nL 261.882923 200.936226 \nL 258.558843 203.066012 \nL 253.62079 206.548557 \nL 248.755052 210.296502 \nL 242.402143 215.548772 \nL 233.200688 223.557187 \nL 222.989577 232.403543 \nL 217.399765 236.97275 \nL 211.973346 241.092924 \nL 208.001227 243.866061 \nL 204.104745 246.362331 \nL 200.276477 248.58549 \nL 196.50919 250.54541 \nL 192.796059 252.256581 \nL 189.130843 253.736744 \nL 185.507998 255.005682 \nL 180.735308 256.404998 \nL 176.020437 257.515208 \nL 171.356783 258.383662 \nL 165.593001 259.19506 \nL 159.899198 259.770388 \nL 153.160476 260.234318 \nL 144.349476 260.59814 \nL 132.620192 260.834091 \nL 112.814918 260.965864 \nL 67.167684 261.036799 \nL 155.702444 260.946481 \nL 238.615966 260.704026 \nL 278.497547 260.38185 \nL 301.51838 259.988532 \nL 316.233639 259.540132 \nL 327.414739 258.986648 \nL 335.487433 258.376432 \nL 341.918997 257.672272 \nL 346.901474 256.911277 \nL 350.621077 256.15426 \nL 354.087428 255.231354 \nL 356.510989 254.406769 \nL 358.775004 253.446559 \nL 360.871004 252.327064 \nL 362.789707 251.020626 \nL 364.520847 249.495033 \nL 365.565143 248.338013 \nL 366.517302 247.054681 \nL 367.373281 245.631413 \nL 368.128762 244.053345 \nL 368.779027 242.304322 \nL 369.318972 240.366886 \nL 369.743081 238.222279 \nL 370.045375 235.850488 \nL 370.219414 233.230337 \nL 370.224593 228.785698 \nL 369.89963 223.65441 \nL 369.215953 217.757642 \nL 368.142302 211.019642 \nL 366.644896 203.373588 \nL 364.687831 194.769478 \nL 362.234055 185.184207 \nL 359.246511 174.633725 \nL 355.689867 163.186753 \nL 352.986896 155.121281 \nL 350.009219 146.7756 \nL 346.750904 138.226457 \nL 343.208245 129.568654 \nL 339.380245 120.915101 \nL 335.26907 112.396004 \nL 330.880483 104.156904 \nL 328.585054 100.191272 \nL 326.224268 96.355492 \nL 323.800015 92.670425 \nL 321.314471 89.157084 \nL 318.770086 85.836402 \nL 316.169589 82.729003 \nL 313.515984 79.854992 \nL 310.812545 77.233732 \nL 308.062806 74.883579 \nL 305.270542 72.821653 \nL 302.439747 71.063607 \nL 299.574641 69.623396 \nL 296.679626 68.513087 \nL 293.759253 67.742665 \nL 290.818216 67.319865 \nL 287.861318 67.250045 \nL 284.893416 67.536099 \nL 281.919428 68.178381 \nL 278.944264 69.174682 \nL 275.972811 70.520246 \nL 273.009897 72.207823 \nL 270.060253 74.227745 \nL 267.128484 76.568063 \nL 264.219038 79.214694 \nL 261.336184 82.151606 \nL 258.483972 85.361054 \nL 255.666226 88.82376 \nL 252.88651 92.519216 \nL 250.148122 96.425902 \nL 247.454077 100.521563 \nL 244.8071 104.783449 \nL 239.663716 113.714013 \nL 234.733701 123.035324 \nL 230.027999 132.572221 \nL 225.552993 142.162444 \nL 219.276764 156.33586 \nL 211.70638 174.237954 \nL 199.04896 204.530023 \nL 193.774384 216.484212 \nL 190.195623 224.080227 \nL 186.893947 230.586592 \nL 183.831067 236.101792 \nL 180.972486 240.733607 \nL 178.28777 244.591262 \nL 175.750566 247.780032 \nL 173.338419 250.397857 \nL 171.032473 252.533443 \nL 168.817124 254.26547 \nL 166.679631 255.662563 \nL 164.60975 256.783742 \nL 161.94133 257.934988 \nL 159.364535 258.781316 \nL 156.257758 259.524716 \nL 152.682598 260.097792 \nL 148.712277 260.488572 \nL 143.417542 260.76313 \nL 135.519975 260.917583 \nL 121.737137 260.978495 \nL 143.370375 260.953878 \nL 225.320538 260.722687 \nL 261.726623 260.419739 \nL 280.510209 260.064397 \nL 291.319708 259.661549 \nL 297.710137 259.222438 \nL 301.290042 258.777153 \nL 303.153447 258.336909 \nL 303.824053 257.992198 \nL 303.974685 257.72939 \nL 303.895065 257.510665 \nL 303.542668 257.228982 \nL 302.745845 256.883666 \nL 301.045413 256.424407 \nL 298.262108 255.937961 \nL 294.569141 255.52489 \nL 289.991323 255.232252 \nL 284.566409 255.104312 \nL 278.344164 255.173494 \nL 270.568162 255.494954 \nL 261.071909 256.117849 \nL 240.648227 257.76072 \nL 225.703389 258.848093 \nL 212.257833 259.602762 \nL 198.381085 260.148033 \nL 183.043119 260.524308 \nL 162.864364 260.781685 \nL 130.679227 260.937121 \nL 60.36508 261.042092 \nL 272.594164 260.464805 \nL 298.93359 260.086418 \nL 316.317093 259.621234 \nL 328.481513 259.077024 \nL 337.326786 258.4683 \nL 344.422308 257.756047 \nL 349.956857 256.976012 \nL 354.115645 256.190704 \nL 358.017479 255.222102 \nL 360.764159 254.347318 \nL 363.347312 253.318566 \nL 365.757394 252.106691 \nL 367.983832 250.677037 \nL 369.360284 249.582964 \nL 370.645967 248.360056 \nL 371.836638 246.992771 \nL 372.927687 245.463832 \nL 373.914103 243.754092 \nL 374.790354 241.842416 \nL 375.550385 239.705565 \nL 376.187616 237.31811 \nL 376.694795 234.652399 \nL 377.063975 231.678574 \nL 377.286488 228.364644 \nL 377.352898 224.676708 \nL 377.252891 220.579247 \nL 376.975296 216.035646 \nL 376.508076 211.008869 \nL 375.838278 205.462414 \nL 374.423326 196.093212 \nL 372.471441 185.376216 \nL 369.929692 173.24301 \nL 367.880537 164.356789 \nL 365.528903 154.845758 \nL 362.859314 144.741688 \nL 359.857369 134.098496 \nL 356.510374 122.995692 \nL 352.808047 111.541348 \nL 348.74324 99.874181 \nL 344.312757 88.164372 \nL 339.518213 76.612653 \nL 336.986423 70.966434 \nL 334.366768 65.447173 \nL 331.661139 60.086736 \nL 328.871841 54.917883 \nL 326.001601 49.973882 \nL 323.053602 45.288216 \nL 320.031463 40.894152 \nL 316.939256 36.824346 \nL 313.781476 33.11039 \nL 310.563036 29.782318 \nL 307.289251 26.86825 \nL 303.965809 24.393877 \nL 300.598742 22.382007 \nL 297.194374 20.852261 \nL 293.759307 19.820649 \nL 290.300333 19.299235 \nL 286.824422 19.296 \nL 283.338644 19.814557 \nL 279.850116 20.854079 \nL 276.365959 22.409325 \nL 272.893207 24.470662 \nL 269.43879 27.024133 \nL 266.00944 30.051796 \nL 262.611654 33.531904 \nL 259.251653 37.439309 \nL 255.935327 41.745774 \nL 252.668189 46.420532 \nL 249.455354 51.430644 \nL 246.301498 56.741545 \nL 243.210851 62.317532 \nL 240.187163 68.122233 \nL 237.233712 74.119096 \nL 234.353286 80.271831 \nL 228.820315 92.90353 \nL 223.6012 105.746977 \nL 218.701908 118.558018 \nL 214.122127 131.125352 \nL 207.837836 149.147144 \nL 198.823504 176.011447 \nL 190.090648 202.012594 \nL 185.298059 215.572381 \nL 182.140922 223.946662 \nL 179.297538 230.956069 \nL 176.719468 236.768709 \nL 174.364599 241.549983 \nL 172.196957 245.454977 \nL 170.186276 248.624228 \nL 168.307435 251.181891 \nL 166.539827 253.235513 \nL 164.86674 254.87681 \nL 163.274775 256.183013 \nL 161.260319 257.512932 \nL 159.352455 258.482511 \nL 157.097573 259.327993 \nL 154.971638 259.888892 \nL 152.194504 260.36756 \nL 148.951811 260.68183 \nL 144.380387 260.875925 \nL 137.700974 260.953114 \nL 146.035268 260.944923 \nL 222.030408 260.724226 \nL 255.970502 260.434273 \nL 272.574415 260.092929 \nL 279.983281 259.74782 \nL 282.319277 259.464892 \nL 282.500608 259.354178 \nL 282.475772 259.3231 \nL 282.118004 259.217895 \nL 280.517793 259.059232 \nL 276.447193 258.921525 \nL 269.289142 258.918749 \nL 257.718217 259.154467 \nL 205.080049 260.481027 \nL 180.007102 260.752595 \nL 141.033614 260.924147 \nL 85.018729 261.021129 \nL 263.262414 260.503753 \nL 289.463457 260.137617 \nL 305.329943 259.715058 \nL 316.598585 259.203955 \nL 324.888728 258.600767 \nL 330.684805 257.96459 \nL 335.1558 257.261088 \nL 338.505024 256.53121 \nL 341.48954 255.637984 \nL 343.599572 254.780663 \nL 345.449622 253.771933 \nL 346.658659 252.900358 \nL 347.70815 251.916519 \nL 348.591778 250.806875 \nL 349.302858 249.556781 \nL 349.834243 248.15058 \nL 350.178294 246.571776 \nL 350.326898 244.803295 \nL 350.271477 242.827883 \nL 350.002887 240.628629 \nL 349.51157 238.189673 \nL 348.787534 235.497108 \nL 347.442373 231.494371 \nL 345.640474 227.009123 \nL 343.357571 222.049034 \nL 340.57107 216.64975 \nL 338.138948 212.353364 \nL 335.406346 207.89454 \nL 332.369237 203.333319 \nL 329.026438 198.744867 \nL 325.380177 194.21911 \nL 322.783637 191.287227 \nL 320.057813 188.462111 \nL 317.206562 185.778569 \nL 314.234702 183.27232 \nL 311.148043 180.979213 \nL 307.953379 178.934387 \nL 304.658454 177.171335 \nL 301.271906 175.720966 \nL 297.803212 174.610662 \nL 294.262574 173.863368 \nL 290.660783 173.496799 \nL 287.009104 173.522766 \nL 283.319072 173.946681 \nL 279.602359 174.767272 \nL 275.870569 175.976514 \nL 272.135083 177.559805 \nL 268.40685 179.496348 \nL 264.696254 181.759758 \nL 261.012954 184.318819 \nL 257.365778 187.138429 \nL 253.7626 190.18056 \nL 250.21029 193.405332 \nL 244.9896 198.495954 \nL 239.911223 203.770386 \nL 231.787738 212.627235 \nL 219.69189 225.916442 \nL 214.037816 231.790156 \nL 209.952823 235.777596 \nL 205.989231 239.388296 \nL 202.1357 242.620032 \nL 198.380861 245.481278 \nL 194.713723 247.98872 \nL 191.123963 250.16496 \nL 187.602148 252.036469 \nL 184.13986 253.631865 \nL 180.729779 254.980504 \nL 177.3657 256.111374 \nL 172.943125 257.328264 \nL 168.584093 258.268095 \nL 164.282324 258.984787 \nL 158.980297 259.636848 \nL 152.725705 260.15764 \nL 145.583253 260.524301 \nL 135.703674 260.789164 \nL 119.990698 260.943132 \nL 79.079843 261.024761 \nL 76.084385 261.02927 \nL 233.641838 260.72157 \nL 273.700213 260.414345 \nL 296.40452 260.046007 \nL 311.18446 259.615911 \nL 322.48922 259.071418 \nL 330.755533 258.445433 \nL 336.445863 257.815504 \nL 340.823722 257.149119 \nL 344.845618 256.316829 \nL 347.789928 255.501603 \nL 350.476239 254.522971 \nL 352.312548 253.661304 \nL 353.988175 252.671521 \nL 355.495571 251.534268 \nL 356.826516 250.227608 \nL 357.972048 248.726828 \nL 358.922332 247.004316 \nL 359.666609 245.029509 \nL 360.193075 242.76899 \nL 360.48873 240.186747 \nL 360.539325 237.244718 \nL 360.329368 233.903653 \nL 359.842031 230.124411 \nL 359.059193 225.869791 \nL 357.961612 221.107016 \nL 356.52914 215.810875 \nL 354.741074 209.96767 \nL 352.57665 203.579864 \nL 350.015843 196.6713 \nL 347.040242 189.292741 \nL 343.634198 181.527201 \nL 339.786142 173.494443 \nL 336.972007 168.067811 \nL 333.958582 162.649407 \nL 330.747418 157.303769 \nL 327.341875 152.102107 \nL 323.747299 147.12119 \nL 319.971139 142.441663 \nL 316.023045 138.146012 \nL 313.988144 136.167836 \nL 311.914882 134.316159 \nL 309.80508 132.600685 \nL 307.660698 131.030729 \nL 305.483818 129.615145 \nL 303.276638 128.362198 \nL 301.041463 127.279513 \nL 298.780714 126.373975 \nL 296.496896 125.651638 \nL 294.192599 125.117686 \nL 291.870481 124.776322 \nL 289.533256 124.630769 \nL 287.183689 124.683175 \nL 284.824563 124.934602 \nL 282.458689 125.385028 \nL 280.088874 126.033283 \nL 277.717906 126.877113 \nL 275.348551 127.913165 \nL 272.983531 129.137023 \nL 270.625504 130.543244 \nL 268.277067 132.125431 \nL 265.940733 133.876275 \nL 263.618907 135.787654 \nL 261.313899 137.850679 \nL 256.762981 142.392952 \nL 252.303942 147.420596 \nL 247.950543 152.845234 \nL 243.714184 158.575711 \nL 239.603842 164.521149 \nL 235.626113 170.593616 \nL 229.916937 179.761565 \nL 222.791286 191.721426 \nL 210.137001 213.175699 \nL 204.526508 222.185839 \nL 200.588517 228.117576 \nL 196.855049 233.349983 \nL 193.302459 237.913409 \nL 189.908333 241.852321 \nL 186.651996 245.219909 \nL 183.514803 248.073728 \nL 180.480284 250.472334 \nL 177.534162 252.472835 \nL 174.664285 254.129195 \nL 171.860502 255.491171 \nL 169.114494 256.603737 \nL 165.531721 257.767557 \nL 162.028142 258.63963 \nL 158.595779 259.286559 \nL 154.398334 259.859196 \nL 149.493059 260.303427 \nL 143.179583 260.638064 \nL 134.239441 260.857299 \nL 118.679833 260.967923 \nL 98.558356 261.007328 \nL 193.30667 260.858742 \nL 249.917936 260.594297 \nL 278.750606 260.263013 \nL 296.46041 259.850312 \nL 307.640127 259.382183 \nL 315.134821 258.869775 \nL 320.352353 258.325266 \nL 324.299855 257.719562 \nL 327.192956 257.080027 \nL 329.238807 256.444795 \nL 330.937026 255.700587 \nL 332.035268 255.015764 \nL 332.893629 254.241838 \nL 333.504211 253.369762 \nL 333.859006 252.390621 \nL 333.949913 251.296054 \nL 333.768835 250.078809 \nL 333.307733 248.733429 \nL 332.558784 247.257092 \nL 331.514518 245.650586 \nL 329.783533 243.468254 \nL 327.569068 241.1152 \nL 324.862893 238.632527 \nL 322.341208 236.593352 \nL 319.502975 234.550766 \nL 316.351697 232.554016 \nL 312.894098 230.659626 \nL 310.105937 229.343101 \nL 307.156947 228.146102 \nL 304.054081 227.095812 \nL 300.805517 226.218425 \nL 297.420576 225.53812 \nL 293.909616 225.075991 \nL 290.283919 224.849043 \nL 286.555464 224.869278 \nL 282.736754 225.142977 \nL 278.840569 225.670203 \nL 274.87968 226.444612 \nL 270.866613 227.453548 \nL 266.813387 228.678477 \nL 261.366008 230.606054 \nL 255.891294 232.807442 \nL 249.040324 235.827921 \nL 223.340412 247.530015 \nL 216.710719 250.133264 \nL 211.446087 251.981518 \nL 206.212765 253.610297 \nL 201.007221 255.020097 \nL 195.826132 256.219517 \nL 190.666773 257.223178 \nL 184.245414 258.231085 \nL 177.853921 259.003217 \nL 170.225869 259.677259 \nL 161.394464 260.199899 \nL 151.417645 260.558428 \nL 137.980875 260.807038 \nL 115.927812 260.954151 \nL 53.219517 261.046759 \nL 52.698352 261.047697 \nL 114.619506 261.001246 \nL 114.619506 261.001246 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p606b68b1aa\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"284.286296pt\" version=\"1.1\" viewBox=\"0 0 297.87021 284.286296\" width=\"297.87021pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T22:23:09.754816</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 284.286296 \nL 297.87021 284.286296 \nL 297.87021 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 30.500099 208.744652 \nL 118.210413 134.918594 \nL 117.117009 28.604593 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.633948 218.912967 \nL 147.677818 143.483605 \nL 147.842711 36.392662 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 93.477295 229.313004 \nL 177.760671 152.227503 \nL 179.238102 44.350479 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 126.054672 239.952776 \nL 208.478456 161.15595 \nL 211.325317 52.483652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 159.391756 250.840667 \nL 239.851489 170.274852 \nL 244.127478 60.798044 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 31.263745 208.10189 \nL 28.969538 210.032931 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(12.412973 232.013428)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 62.383769 218.255646 \nL 60.131059 220.230458 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.75966 242.397091)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 94.21246 228.640623 \nL 92.003745 230.660712 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(82.827853 253.018281)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 126.774302 239.264812 \nL 124.612223 241.331752 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(115.443861 263.885244)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 160.094924 250.136572 \nL 157.982269 252.252013 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(145.642179 275.006609)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 29.444516 89.470656 \nL 34.500314 201.656239 \nL 183.314289 249.807479 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 41.350138 80.782475 \nL 45.831768 192.15799 \nL 193.585868 239.266312 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 52.994548 72.284915 \nL 56.925363 182.859119 \nL 203.630498 228.958051 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 64.386248 63.971771 \nL 67.78851 173.753414 \nL 213.455618 218.875061 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 75.533377 55.837104 \nL 78.428316 164.834918 \nL 223.068347 209.010036 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 86.443727 47.875228 \nL 88.851598 156.097915 \nL 232.475497 199.355986 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.124764 40.080693 \nL 99.064901 147.536923 \nL 241.683594 189.906214 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 107.583641 32.448281 \nL 109.074505 139.146674 \nL 250.698889 180.654303 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 182.060302 249.401731 \nL 185.825504 250.620025 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −10.0 -->\n     <g transform=\"translate(180.85827 270.81333)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"211.035156\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 192.341515 238.869576 \nL 196.077753 240.060798 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −7.5 -->\n     <g transform=\"translate(194.173357 260.116068)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-37\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 202.395662 228.570031 \nL 206.103288 229.735072 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −5.0 -->\n     <g transform=\"translate(204.083158 249.6553)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 212.230184 218.495472 \nL 215.909549 219.635187 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- −2.5 -->\n     <g transform=\"translate(213.776271 239.423267)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.852197 208.638607 \nL 225.503652 209.753813 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 0.0 -->\n     <g transform=\"translate(227.449569 229.412548)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 231.268518 198.992456 \nL 234.892407 200.083935 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 2.5 -->\n     <g transform=\"translate(236.730095 219.616041)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_14\">\n     <path d=\"M 240.485671 189.550334 \nL 244.082337 190.618835 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 5.0 -->\n     <g transform=\"translate(245.814137 210.026942)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_15\">\n     <path d=\"M 249.50991 180.305834 \nL 253.079693 181.352075 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 7.5 -->\n     <g transform=\"translate(254.707869 200.638734)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-37\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_16\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 256.878488 159.909351 \nL 115.003853 119.398689 \nL 26.547998 192.220819 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.480507 146.762786 \nL 114.857525 106.673624 \nL 25.899416 178.752595 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.088974 133.475424 \nL 114.709705 93.818808 \nL 25.243622 165.134609 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.703992 120.044992 \nL 114.56037 80.832248 \nL 24.580496 151.36435 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.325669 106.469166 \nL 114.409496 67.711908 \nL 23.909912 137.439249 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.954112 92.745572 \nL 114.25706 54.45571 \nL 23.231745 123.35668 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.589433 78.871784 \nL 114.103038 41.061532 \nL 22.545866 109.113957 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 0.0 -->\n     <g transform=\"translate(266.595217 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 255.687426 159.569257 \nL 259.263462 160.590353 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 2.5 -->\n     <g transform=\"translate(267.285567 164.932382)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 256.282862 146.426146 \nL 259.878678 147.436876 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 5.0 -->\n     <g transform=\"translate(267.983249 151.81201)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 256.884674 133.142332 \nL 260.500488 134.142414 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 7.5 -->\n     <g transform=\"translate(268.68838 138.55155)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-37\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_18\">\n    <g id=\"line2d_21\">\n     <path d=\"M 257.492962 119.715544 \nL 261.128998 120.704689 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- 10.0 -->\n     <g transform=\"translate(266.21983 125.148747)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_19\">\n    <g id=\"line2d_22\">\n     <path d=\"M 258.107833 106.14346 \nL 261.764318 107.121373 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_19\">\n     <!-- 12.5 -->\n     <g transform=\"translate(266.940222 111.601296)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_20\">\n    <g id=\"line2d_23\">\n     <path d=\"M 258.729394 92.42371 \nL 262.406559 93.390086 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_20\">\n     <!-- 15.0 -->\n     <g transform=\"translate(267.668431 97.906844)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_21\">\n    <g id=\"line2d_24\">\n     <path d=\"M 259.357755 78.55387 \nL 263.055834 79.508398 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_21\">\n     <!-- 17.5 -->\n     <g transform=\"translate(268.404585 84.062983)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-37\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_25\">\n    <path clip-path=\"url(#pfe0466b888)\" d=\"M 142.559175 182.301673 \nL 142.449061 182.109652 \nL 142.19913 182.196282 \nL 142.187247 182.370117 \nL 142.409968 182.473155 \nL 142.756526 182.403956 \nL 142.877736 182.198531 \nL 142.742162 182.033429 \nL 142.385688 181.965662 \nL 142.002588 182.100534 \nL 141.884277 182.337771 \nL 142.017625 182.541725 \nL 142.376922 182.666101 \nL 142.865992 182.608313 \nL 143.199821 182.368744 \nL 143.244644 182.097904 \nL 143.055513 181.863565 \nL 142.629631 181.710608 \nL 142.054923 181.737727 \nL 141.575715 181.965478 \nL 141.370198 182.279681 \nL 141.41778 182.57941 \nL 141.687385 182.841889 \nL 142.203616 183.019202 \nL 142.880584 183.014057 \nL 143.502635 182.796426 \nL 143.878793 182.448592 \nL 143.976683 182.079278 \nL 143.841533 181.735284 \nL 143.479391 181.435166 \nL 142.864102 181.226699 \nL 142.080138 181.198891 \nL 141.299866 181.389413 \nL 140.718352 181.74868 \nL 140.421 182.171486 \nL 140.37871 182.602286 \nL 140.561508 183.000459 \nL 140.98731 183.367426 \nL 141.66118 183.641061 \nL 142.54207 183.75263 \nL 143.481778 183.651729 \nL 144.324497 183.347285 \nL 144.942389 182.896455 \nL 145.269226 182.401461 \nL 145.344668 181.896472 \nL 145.186968 181.40967 \nL 144.80232 180.96296 \nL 144.158838 180.57174 \nL 143.288825 180.305103 \nL 142.213562 180.213441 \nL 141.090855 180.343037 \nL 140.0712 180.681367 \nL 139.27688 181.170517 \nL 138.75195 181.747023 \nL 138.506165 182.327433 \nL 138.494796 182.910587 \nL 138.702042 183.462382 \nL 139.145364 183.997634 \nL 139.838475 184.475276 \nL 140.775699 184.848364 \nL 141.926171 185.067545 \nL 143.229295 185.086216 \nL 144.546733 184.878831 \nL 145.731776 184.468151 \nL 146.671792 183.920314 \nL 147.366958 183.268424 \nL 147.781677 182.590532 \nL 147.950578 181.90022 \nL 147.889629 181.230605 \nL 147.606109 180.576163 \nL 147.072013 179.934819 \nL 146.309409 179.370256 \nL 145.292036 178.891796 \nL 144.03202 178.54533 \nL 142.564754 178.378594 \nL 141.017914 178.42996 \nL 139.476976 178.707554 \nL 138.088636 179.181973 \nL 136.914929 179.812826 \nL 135.995679 180.555858 \nL 135.349612 181.366794 \nL 134.990211 182.15913 \nL 134.863211 182.93978 \nL 134.954517 183.729691 \nL 135.269793 184.50593 \nL 135.808282 185.245014 \nL 136.613351 185.961134 \nL 137.643101 186.58278 \nL 138.945547 187.109342 \nL 140.512804 187.49266 \nL 142.225913 187.677609 \nL 144.019976 187.648088 \nL 145.823923 187.396453 \nL 147.56337 186.924217 \nL 149.088171 186.281149 \nL 150.361237 185.512833 \nL 151.366046 184.663751 \nL 152.142341 183.716588 \nL 152.637228 182.757858 \nL 152.875648 181.82069 \nL 152.884102 180.867128 \nL 152.656152 179.918257 \nL 152.1905 178.995509 \nL 151.491109 178.120213 \nL 150.567199 177.313154 \nL 149.350506 176.549804 \nL 147.918402 175.908909 \nL 146.193988 175.384387 \nL 144.302116 175.040927 \nL 142.291018 174.894566 \nL 140.213858 174.956464 \nL 138.127507 175.232423 \nL 136.09119 175.722525 \nL 134.165005 176.420882 \nL 132.50597 177.257759 \nL 131.129504 178.187132 \nL 129.963909 179.240402 \nL 129.096008 180.318243 \nL 128.501987 181.384851 \nL 128.128905 182.498201 \nL 127.989996 183.640728 \nL 128.078047 184.705107 \nL 128.378596 185.763055 \nL 128.893322 186.798788 \nL 129.690846 187.877235 \nL 130.731758 188.890625 \nL 132.00531 189.819163 \nL 133.619354 190.702504 \nL 135.460526 191.443384 \nL 137.49828 192.021936 \nL 139.696842 192.421053 \nL 142.015823 192.62689 \nL 144.410965 192.629313 \nL 146.835035 192.422277 \nL 149.238812 192.00412 \nL 151.572174 191.377749 \nL 153.785234 190.550713 \nL 155.69005 189.613614 \nL 157.412348 188.527035 \nL 158.917812 187.307135 \nL 160.088143 186.079034 \nL 161.025829 184.770024 \nL 161.665365 183.514379 \nL 162.082578 182.220524 \nL 162.26859 180.903642 \nL 162.217235 179.579249 \nL 161.925116 178.262997 \nL 161.391633 176.97052 \nL 160.618996 175.717287 \nL 159.612177 174.518494 \nL 158.378884 173.388932 \nL 156.787429 172.252405 \nL 154.955778 171.232918 \nL 152.904351 170.347021 \nL 150.656847 169.609921 \nL 148.031869 168.995089 \nL 145.245877 168.585817 \nL 142.33993 168.394285 \nL 139.357973 168.429633 \nL 136.346309 168.697731 \nL 133.353019 169.201005 \nL 130.648871 169.873348 \nL 128.041483 170.741394 \nL 125.569911 171.798681 \nL 123.272643 173.035982 \nL 121.351913 174.318124 \nL 119.636758 175.730241 \nL 118.277974 177.11576 \nL 117.129101 178.586697 \nL 116.207022 180.130692 \nL 115.526909 181.734267 \nL 115.132683 183.216446 \nL 114.953389 184.723906 \nL 114.995664 186.244868 \nL 115.264504 187.767083 \nL 115.763126 189.277923 \nL 116.492895 190.764475 \nL 117.453225 192.213642 \nL 118.641501 193.612256 \nL 120.05303 194.947201 \nL 121.681011 196.205525 \nL 123.732789 197.498439 \nL 126.025376 198.664452 \nL 128.540263 199.687742 \nL 131.255883 200.553594 \nL 134.147753 201.248625 \nL 137.188693 201.760984 \nL 140.349065 202.080558 \nL 143.597097 202.199144 \nL 146.899205 202.110616 \nL 150.220391 201.81107 \nL 153.52465 201.298936 \nL 156.77542 200.575095 \nL 159.936051 199.642964 \nL 162.970257 198.508577 \nL 165.84265 197.180662 \nL 168.261279 195.829486 \nL 170.497698 194.341079 \nL 172.529867 192.727525 \nL 174.337505 191.002656 \nL 175.902376 189.18193 \nL 177.076595 187.49664 \nL 178.036731 185.761486 \nL 178.774795 183.989463 \nL 179.28446 182.193693 \nL 179.561069 180.387101 \nL 179.601621 178.582103 \nL 179.40471 176.790334 \nL 178.970437 175.022475 \nL 178.300287 173.2882 \nL 177.397043 171.596271 \nL 176.264653 169.954748 \nL 174.908164 168.371275 \nL 173.333681 166.853388 \nL 171.310713 165.233748 \nL 169.032581 163.718258 \nL 166.51265 162.318855 \nL 163.766015 161.047787 \nL 160.80949 159.917289 \nL 157.661593 158.939174 \nL 154.342482 158.124458 \nL 150.873842 157.483104 \nL 147.278778 157.023832 \nL 143.58168 156.754029 \nL 139.808074 156.679716 \nL 135.984489 156.805534 \nL 132.138332 157.134736 \nL 128.29772 157.669196 \nL 124.491371 158.40937 \nL 120.748438 159.354294 \nL 117.098368 160.501558 \nL 113.570752 161.847269 \nL 110.195146 163.386033 \nL 107.000901 165.110924 \nL 104.337237 166.793602 \nL 101.859698 168.609686 \nL 99.587733 170.551206 \nL 97.540176 172.609214 \nL 95.735099 174.773784 \nL 94.368097 176.746658 \nL 93.21078 178.784903 \nL 92.273307 180.880082 \nL 91.565095 183.023237 \nL 91.094692 185.204898 \nL 90.869712 187.415127 \nL 90.896765 189.643526 \nL 91.181343 191.879295 \nL 91.633554 193.793068 \nL 92.280148 195.696819 \nL 93.281853 197.895342 \nL 94.550578 200.058234 \nL 96.085605 202.173392 \nL 97.884696 204.228603 \nL 99.94406 206.211618 \nL 102.258297 208.110226 \nL 104.820368 209.912335 \nL 107.621595 211.60604 \nL 110.651622 213.179715 \nL 113.898447 214.622085 \nL 117.34844 215.922296 \nL 120.986367 217.069996 \nL 124.795467 218.055373 \nL 128.757471 218.86924 \nL 132.85272 219.503036 \nL 137.060233 219.948839 \nL 141.357812 220.199343 \nL 145.722145 220.247799 \nL 150.128889 220.087883 \nL 154.552792 219.713511 \nL 158.967769 219.118548 \nL 163.346958 218.296416 \nL 167.662773 217.239517 \nL 171.290122 216.139736 \nL 174.831738 214.85324 \nL 178.268745 213.370628 \nL 181.581629 211.679902 \nL 184.23292 210.101102 \nL 186.77162 208.356402 \nL 189.184837 206.432888 \nL 191.458967 204.315507 \nL 193.579561 201.987207 \nL 195.15516 199.960252 \nL 196.614264 197.776597 \nL 197.948036 195.426684 \nL 199.147182 192.901956 \nL 200.202007 190.195879 \nL 201.102473 187.305214 \nL 201.838363 184.231617 \nL 202.399506 180.983474 \nL 202.77609 177.577878 \nL 202.959079 174.042574 \nL 202.940771 170.417597 \nL 202.715391 166.756188 \nL 202.27983 163.124668 \nL 201.634318 159.600706 \nL 200.783093 156.269867 \nL 199.734854 153.220255 \nL 198.827263 151.168369 \nL 197.82363 149.353282 \nL 196.732606 147.800597 \nL 195.56395 146.528673 \nL 194.328279 145.547387 \nL 193.036702 144.857414 \nL 191.700486 144.450117 \nL 190.33067 144.308049 \nL 188.937715 144.406056 \nL 187.531173 144.712829 \nL 185.648978 145.384701 \nL 183.307223 146.520206 \nL 179.179678 148.886488 \nL 175.628154 150.812121 \nL 173.02457 151.938606 \nL 170.878842 152.625817 \nL 168.741054 153.086318 \nL 166.598579 153.341377 \nL 164.005787 153.421963 \nL 160.93172 153.286483 \nL 155.959609 152.801449 \nL 147.904262 152.00855 \nL 142.979779 151.754023 \nL 138.461397 151.733315 \nL 133.890745 151.935641 \nL 129.298904 152.373547 \nL 124.718477 153.052942 \nL 120.183044 153.975829 \nL 116.216986 155.000141 \nL 112.337846 156.214597 \nL 108.570105 157.616253 \nL 104.938302 159.201045 \nL 101.466926 160.963794 \nL 98.180286 162.898186 \nL 95.102405 164.996762 \nL 92.599065 166.960948 \nL 90.289106 169.037746 \nL 88.187562 171.219945 \nL 86.308997 173.499649 \nL 84.667377 175.868263 \nL 83.276025 178.316514 \nL 82.292146 180.470869 \nL 81.508743 182.669773 \nL 80.93269 184.906222 \nL 80.570284 187.172876 \nL 80.427219 189.462069 \nL 80.508512 191.765832 \nL 80.818462 194.075909 \nL 81.360599 196.383778 \nL 82.137629 198.680681 \nL 83.151411 200.957648 \nL 84.40287 203.205523 \nL 85.891982 205.415012 \nL 87.617738 207.576703 \nL 89.578079 209.681125 \nL 91.769891 211.718771 \nL 94.188954 213.68016 \nL 96.829946 215.555859 \nL 99.686413 217.33655 \nL 102.75076 219.01306 \nL 106.014258 220.576412 \nL 110.060143 222.245668 \nL 114.346027 223.735618 \nL 118.852278 225.033439 \nL 123.557303 226.126914 \nL 128.437623 227.004426 \nL 133.467963 227.654921 \nL 138.621333 228.06775 \nL 143.869178 228.232399 \nL 148.419734 228.167838 \nL 152.997779 227.905677 \nL 157.582703 227.437555 \nL 162.153047 226.753371 \nL 166.686465 225.840289 \nL 171.159535 224.681289 \nL 174.823161 223.5111 \nL 178.412464 222.136116 \nL 181.911122 220.532471 \nL 184.632921 219.064012 \nL 187.275476 217.408492 \nL 189.827918 215.54017 \nL 192.2782 213.427241 \nL 194.040816 211.658866 \nL 195.732054 209.711691 \nL 197.344914 207.563438 \nL 198.871598 205.188836 \nL 200.303446 202.559588 \nL 201.630791 199.644519 \nL 202.842845 196.409988 \nL 203.927577 192.820694 \nL 204.871628 188.841001 \nL 205.660244 184.43694 \nL 206.27727 179.579054 \nL 206.705219 174.246214 \nL 206.925524 168.430537 \nL 206.91891 162.143298 \nL 206.666001 155.421628 \nL 206.148223 148.335457 \nL 205.34905 140.993738 \nL 204.25552 133.548614 \nL 202.860009 126.195815 \nL 201.761378 121.459648 \nL 200.530276 116.944728 \nL 199.1708 112.730738 \nL 197.689201 108.897366 \nL 196.093961 105.520862 \nL 194.395755 102.670336 \nL 192.607319 100.404033 \nL 191.683747 99.504361 \nL 190.743191 98.765981 \nL 189.787693 98.191726 \nL 188.819349 97.783248 \nL 187.840309 97.540991 \nL 186.852746 97.464178 \nL 185.858848 97.550816 \nL 184.860792 97.797737 \nL 183.860739 98.200623 \nL 182.860801 98.754091 \nL 181.863039 99.451755 \nL 179.881908 101.249744 \nL 177.932131 103.527464 \nL 176.026759 106.208843 \nL 174.176843 109.212776 \nL 172.391282 112.456949 \nL 169.847699 117.599844 \nL 166.726723 124.59925 \nL 162.63031 134.505078 \nL 158.144285 145.292723 \nL 155.792467 150.38415 \nL 154.100372 153.600779 \nL 152.538918 156.150932 \nL 151.078153 158.135808 \nL 149.693054 159.65597 \nL 148.363364 160.804074 \nL 147.073108 161.661352 \nL 145.497354 162.427524 \nL 143.63882 163.037801 \nL 141.492113 163.493359 \nL 137.524011 164.047947 \nL 132.36352 164.81904 \nL 128.781407 165.591715 \nL 125.584834 166.508824 \nL 122.510251 167.632295 \nL 119.85333 168.830029 \nL 117.357648 170.189497 \nL 115.051349 171.702207 \nL 112.961736 173.357725 \nL 111.288001 174.959738 \nL 109.829069 176.657488 \nL 108.601899 178.439834 \nL 107.718344 180.085351 \nL 107.040332 181.778927 \nL 106.576864 183.510799 \nL 106.335806 185.270674 \nL 106.323812 187.047767 \nL 106.546203 188.830861 \nL 107.006885 190.608362 \nL 107.708269 192.368368 \nL 108.651176 194.098741 \nL 109.83478 195.787181 \nL 111.256534 197.421316 \nL 112.912123 198.988798 \nL 114.795437 200.477379 \nL 116.898539 201.875032 \nL 119.21167 203.170032 \nL 122.050501 204.490153 \nL 125.121272 205.650745 \nL 128.402038 206.6375 \nL 131.868226 207.437289 \nL 135.492808 208.038306 \nL 139.246493 208.430234 \nL 143.097992 208.604349 \nL 147.01427 208.553639 \nL 150.96087 208.272872 \nL 154.902218 207.758658 \nL 158.801987 207.009492 \nL 162.623417 206.025773 \nL 165.924723 204.95632 \nL 169.109406 203.706402 \nL 172.152213 202.280389 \nL 175.028513 200.684136 \nL 177.714515 198.925194 \nL 180.187512 197.01309 \nL 182.159817 195.223626 \nL 183.939356 193.335625 \nL 185.513942 191.360599 \nL 186.872706 189.312077 \nL 188.00628 187.205673 \nL 188.906979 185.05898 \nL 189.568994 182.89124 \nL 189.988539 180.722717 \nL 190.163923 178.573767 \nL 190.095566 176.463693 \nL 189.78587 174.409472 \nL 189.238986 172.424594 \nL 188.460497 170.518227 \nL 187.457005 168.6949 \nL 186.235697 166.954872 \nL 184.803959 165.295106 \nL 183.169081 163.710725 \nL 181.060916 161.985877 \nL 178.70667 160.347681 \nL 176.116219 158.795262 \nL 172.932245 157.156932 \nL 169.477724 155.646155 \nL 165.770218 154.281518 \nL 161.829748 153.083798 \nL 157.678948 152.073269 \nL 153.342951 151.267932 \nL 148.849119 150.682749 \nL 144.226718 150.329582 \nL 139.506607 150.217518 \nL 134.720993 150.35326 \nL 130.439032 150.685741 \nL 126.155671 151.219723 \nL 121.895436 151.956124 \nL 117.683278 152.89479 \nL 113.544451 154.034489 \nL 109.504466 155.372903 \nL 105.588961 156.906594 \nL 101.823629 158.631007 \nL 98.234077 160.540418 \nL 95.257393 162.357511 \nL 92.451596 164.305598 \nL 89.83326 166.378584 \nL 87.41864 168.569655 \nL 85.223544 170.871256 \nL 83.263314 173.275114 \nL 81.552676 175.772213 \nL 80.295727 177.979432 \nL 79.240846 180.241458 \nL 78.395937 182.551353 \nL 77.768356 184.901809 \nL 77.364893 187.285149 \nL 77.191678 189.693355 \nL 77.254159 192.118079 \nL 77.55704 194.550655 \nL 78.104223 196.982122 \nL 78.898749 199.403272 \nL 79.942754 201.804648 \nL 81.237403 204.176593 \nL 82.782867 206.509292 \nL 84.578256 208.792797 \nL 86.621584 211.017072 \nL 88.909745 213.172039 \nL 91.438454 215.247632 \nL 94.202251 217.23383 \nL 97.194472 219.120709 \nL 100.40722 220.898503 \nL 103.831395 222.557634 \nL 107.456665 224.08877 \nL 111.271503 225.482847 \nL 115.263196 226.731111 \nL 119.417873 227.825133 \nL 123.720546 228.7568 \nL 128.155134 229.518315 \nL 132.704512 230.102122 \nL 137.350575 230.500785 \nL 142.074256 230.706842 \nL 146.855563 230.712494 \nL 151.673605 230.509217 \nL 156.506562 230.087122 \nL 161.331641 229.434027 \nL 166.124953 228.534113 \nL 170.076959 227.580404 \nL 173.973934 226.423825 \nL 177.799375 225.042008 \nL 180.796286 223.754455 \nL 183.726063 222.283509 \nL 186.577855 220.603543 \nL 189.3396 218.682039 \nL 191.343744 217.058071 \nL 193.283272 215.254255 \nL 195.151089 213.245715 \nL 196.939272 211.003286 \nL 198.638874 208.493062 \nL 200.239824 205.676041 \nL 201.730647 202.50793 \nL 203.098338 198.939302 \nL 204.328093 194.916213 \nL 205.403117 190.381581 \nL 206.304438 185.277578 \nL 207.010777 179.549415 \nL 207.498527 173.150876 \nL 207.741917 166.051945 \nL 207.713403 158.248687 \nL 207.384478 149.775204 \nL 206.726916 140.716915 \nL 205.71467 131.223567 \nL 204.831937 124.760421 \nL 203.777326 118.287659 \nL 202.548273 111.906015 \nL 201.144643 105.729356 \nL 199.569246 99.881545 \nL 197.828166 94.491854 \nL 195.93107 89.689156 \nL 194.928042 87.546393 \nL 193.891301 85.594998 \nL 192.823076 83.847825 \nL 191.725805 82.316348 \nL 190.602115 81.010494 \nL 189.454808 79.938425 \nL 188.286829 79.106373 \nL 187.101256 78.518558 \nL 185.901254 78.177056 \nL 184.69006 78.081759 \nL 183.470946 78.2304 \nL 182.247179 78.618562 \nL 181.022007 79.239732 \nL 179.798607 80.085473 \nL 178.580065 81.14553 \nL 177.369353 82.408042 \nL 176.169295 83.859707 \nL 173.811577 87.271695 \nL 171.525831 91.255801 \nL 169.327579 95.67894 \nL 167.228743 100.407966 \nL 164.284192 107.800569 \nL 161.595498 115.221799 \nL 157.677503 126.882768 \nL 151.182061 146.571098 \nL 148.952328 152.585792 \nL 147.392617 156.278613 \nL 145.98412 159.149271 \nL 144.690845 161.353463 \nL 143.48409 163.031123 \nL 142.341533 164.301757 \nL 140.978168 165.465862 \nL 139.665006 166.296958 \nL 138.133462 167.008879 \nL 136.140678 167.684255 \nL 127.008597 170.450454 \nL 124.466082 171.591883 \nL 122.30008 172.795536 \nL 120.32186 174.1432 \nL 118.559911 175.62424 \nL 117.168588 177.075167 \nL 115.997318 178.613686 \nL 115.063518 180.226886 \nL 114.439097 181.730991 \nL 114.029722 183.273155 \nL 113.843942 184.841698 \nL 113.888712 186.42437 \nL 114.169262 188.008426 \nL 114.688997 189.580717 \nL 115.449375 191.127791 \nL 116.44982 192.636001 \nL 117.687651 194.091616 \nL 119.158005 195.480955 \nL 120.853815 196.790511 \nL 122.765792 198.007075 \nL 125.12965 199.234261 \nL 127.727134 200.314289 \nL 130.536065 201.231647 \nL 133.53118 201.972189 \nL 136.684361 202.523354 \nL 139.96489 202.874351 \nL 143.339769 203.01638 \nL 146.774055 202.942773 \nL 150.231292 202.649157 \nL 153.673926 202.133579 \nL 157.063754 201.396616 \nL 160.362427 200.44148 \nL 163.531947 199.27411 \nL 166.243382 198.049193 \nL 168.793968 196.667801 \nL 171.158793 195.140271 \nL 173.314456 193.478905 \nL 175.239367 191.697957 \nL 176.740879 190.027498 \nL 178.032516 188.287718 \nL 179.103761 186.491934 \nL 179.945788 184.654079 \nL 180.551558 182.788377 \nL 180.915842 180.908949 \nL 181.035203 179.02941 \nL 180.907937 177.162492 \nL 180.533962 175.319757 \nL 179.914703 173.511463 \nL 179.052936 171.746619 \nL 177.952655 170.033201 \nL 176.618944 168.378524 \nL 175.057913 166.789655 \nL 173.276657 165.273807 \nL 171.019606 163.665293 \nL 168.507155 162.170562 \nL 165.754068 160.802048 \nL 162.776874 159.572556 \nL 159.593882 158.49476 \nL 156.225137 157.580712 \nL 152.692338 156.84145 \nL 149.018717 156.286738 \nL 145.228895 155.924937 \nL 141.348754 155.762946 \nL 137.405263 155.806211 \nL 133.426348 156.058738 \nL 129.440741 156.523092 \nL 125.477854 157.200389 \nL 121.567624 158.090289 \nL 117.740366 159.190969 \nL 114.026624 160.499101 \nL 110.456991 162.009818 \nL 107.429619 163.517583 \nL 104.561407 165.174783 \nL 101.873273 166.974843 \nL 99.385708 168.910175 \nL 97.118659 170.972173 \nL 95.331046 172.872788 \nL 93.739425 174.855947 \nL 92.355627 176.913979 \nL 91.190856 179.038637 \nL 90.25559 181.22111 \nL 89.559517 183.45204 \nL 89.111421 185.721542 \nL 88.93066 187.689674 \nL 88.942153 189.671706 \nL 89.149579 191.660598 \nL 89.555974 193.649082 \nL 90.163676 195.629704 \nL 90.974293 197.594834 \nL 91.988661 199.536703 \nL 93.206825 201.447425 \nL 94.884475 203.626599 \nL 96.835653 205.73978 \nL 99.055961 207.774209 \nL 101.539314 209.71718 \nL 104.277918 211.556126 \nL 107.262236 213.278693 \nL 110.480992 214.872835 \nL 113.921179 216.326891 \nL 117.568074 217.629667 \nL 121.405322 218.77047 \nL 125.414929 219.739214 \nL 129.577388 220.526425 \nL 133.871717 221.123273 \nL 138.275588 221.521543 \nL 142.765405 221.713584 \nL 147.316416 221.692188 \nL 151.902808 221.450388 \nL 156.49779 220.981164 \nL 161.073669 220.276986 \nL 165.601855 219.329185 \nL 169.422876 218.314859 \nL 173.168049 217.105202 \nL 176.817588 215.689261 \nL 180.350915 214.052783 \nL 183.19104 212.507376 \nL 185.922347 210.782524 \nL 188.530929 208.861653 \nL 191.00192 206.724766 \nL 192.868938 204.843969 \nL 194.62888 202.796134 \nL 196.272291 200.56625 \nL 197.789017 198.138433 \nL 199.168166 195.4966 \nL 200.398056 192.625486 \nL 201.46624 189.512125 \nL 202.359602 186.147848 \nL 203.064534 182.530833 \nL 203.567252 178.669174 \nL 203.854244 174.584295 \nL 203.912936 170.314425 \nL 203.732492 165.917591 \nL 203.304872 161.47343 \nL 202.625985 157.082976 \nL 201.696836 152.865559 \nL 200.839796 149.894736 \nL 199.851434 147.151479 \nL 198.739574 144.689975 \nL 197.514265 142.558813 \nL 196.187603 140.797746 \nL 195.25362 139.843715 \nL 194.285139 139.071864 \nL 193.286776 138.484196 \nL 192.263257 138.07967 \nL 191.21933 137.854245 \nL 190.159696 137.800997 \nL 189.088912 137.910337 \nL 187.471268 138.352544 \nL 185.851707 139.085147 \nL 184.24187 140.053412 \nL 182.126761 141.610981 \nL 179.555239 143.797503 \nL 172.866727 149.631122 \nL 170.641958 151.217705 \nL 168.477647 152.463112 \nL 166.354244 153.377502 \nL 164.253104 153.9952 \nL 162.157846 154.363658 \nL 159.632627 154.550172 \nL 156.650406 154.524744 \nL 151.850604 154.222664 \nL 144.599336 153.775807 \nL 139.930564 153.704959 \nL 135.669534 153.842892 \nL 131.381263 154.193683 \nL 127.095733 154.76724 \nL 122.844174 155.567562 \nL 118.658592 156.59517 \nL 114.571446 157.848194 \nL 111.047516 159.148213 \nL 107.650227 160.619551 \nL 104.40253 162.257314 \nL 101.327196 164.055545 \nL 98.446688 166.0072 \nL 95.78304 168.104149 \nL 93.647152 170.050942 \nL 91.707709 172.095057 \nL 89.978174 174.228981 \nL 88.471435 176.444558 \nL 87.199724 178.733004 \nL 86.174518 181.084911 \nL 85.500062 183.143772 \nL 85.020706 185.235268 \nL 84.742052 187.352455 \nL 84.66911 189.488101 \nL 84.806262 191.634698 \nL 85.15718 193.78449 \nL 85.724821 195.929494 \nL 86.511369 198.061516 \nL 87.518182 200.17219 \nL 88.745772 202.252998 \nL 90.193748 204.295309 \nL 91.860798 206.290411 \nL 93.744642 208.229547 \nL 95.842037 210.103947 \nL 98.148705 211.904893 \nL 101.097209 213.901623 \nL 104.313152 215.773068 \nL 107.784431 217.506017 \nL 111.497035 219.087643 \nL 115.435061 220.505601 \nL 119.580762 221.748083 \nL 123.914594 222.803889 \nL 128.415298 223.662438 \nL 133.059987 224.313759 \nL 137.824229 224.748461 \nL 142.68217 224.957567 \nL 147.60661 224.932299 \nL 152.569088 224.663732 \nL 157.539959 224.142188 \nL 161.784049 223.485331 \nL 165.991534 222.6257 \nL 170.141541 221.55228 \nL 174.212311 220.250634 \nL 177.527647 218.977842 \nL 180.758167 217.518602 \nL 183.889063 215.854047 \nL 186.904422 213.960014 \nL 189.221942 212.259169 \nL 191.444798 210.372644 \nL 193.562431 208.277497 \nL 195.563202 205.946816 \nL 197.434248 203.349596 \nL 198.743833 201.205878 \nL 199.965739 198.876642 \nL 201.092729 196.345156 \nL 202.116956 193.594445 \nL 203.029911 190.607973 \nL 203.822439 187.370644 \nL 204.484783 183.870086 \nL 205.00662 180.09827 \nL 205.377196 176.053509 \nL 205.58553 171.742767 \nL 205.620698 167.184199 \nL 205.472224 162.409747 \nL 205.130575 157.467523 \nL 204.587777 152.423605 \nL 203.838141 147.362791 \nL 202.879009 142.387788 \nL 201.711568 137.616403 \nL 200.341548 133.176418 \nL 199.320773 130.465079 \nL 198.219159 127.996486 \nL 197.042271 125.805367 \nL 195.796662 123.922403 \nL 194.489812 122.372941 \nL 193.129981 121.175841 \nL 191.726055 120.34258 \nL 190.287349 119.876672 \nL 188.82339 119.773459 \nL 187.343694 120.020293 \nL 185.857542 120.597085 \nL 184.373763 121.477208 \nL 182.900552 122.628645 \nL 181.445305 124.015342 \nL 179.310026 126.451624 \nL 177.247148 129.196134 \nL 174.629976 133.111852 \nL 171.016287 139.000608 \nL 166.764461 145.91798 \nL 164.389043 149.393333 \nL 162.612882 151.666739 \nL 160.924383 153.511963 \nL 159.303883 154.969954 \nL 157.733825 156.091254 \nL 156.199138 156.929437 \nL 154.687327 157.536674 \nL 152.814699 158.043654 \nL 150.573941 158.388166 \nL 147.571297 158.579796 \nL 134.439181 159.074895 \nL 130.523986 159.563827 \nL 126.639997 160.275126 \nL 122.823185 161.214678 \nL 119.475997 162.255194 \nL 116.240304 163.477411 \nL 113.14327 164.876595 \nL 110.211852 166.446428 \nL 107.472629 168.179112 \nL 105.220137 169.848533 \nL 103.157773 171.63186 \nL 101.302661 173.520729 \nL 99.671183 175.505885 \nL 98.278863 177.577206 \nL 97.268218 179.451684 \nL 96.460843 181.375865 \nL 95.865031 183.341409 \nL 95.488261 185.339534 \nL 95.33713 187.361039 \nL 95.417281 189.396335 \nL 95.733327 191.435486 \nL 96.288786 193.468233 \nL 97.086011 195.484052 \nL 98.12612 197.472208 \nL 99.408962 199.421782 \nL 100.93303 201.321759 \nL 102.695439 203.161068 \nL 104.691877 204.928661 \nL 106.916584 206.613567 \nL 109.362322 208.204976 \nL 112.020379 209.692299 \nL 114.880563 211.065246 \nL 118.38183 212.481568 \nL 122.11215 213.721443 \nL 126.049478 214.77162 \nL 130.169523 215.619809 \nL 134.445875 216.254769 \nL 138.850147 216.666366 \nL 143.352199 216.845559 \nL 147.920295 216.784387 \nL 152.521311 216.475831 \nL 156.547261 215.997991 \nL 160.548555 215.322085 \nL 164.501075 214.444298 \nL 168.380283 213.360641 \nL 172.161245 212.066598 \nL 175.818665 210.55679 \nL 178.835812 209.085962 \nL 181.726904 207.446719 \nL 184.475238 205.633089 \nL 187.063794 203.638245 \nL 189.475198 201.454761 \nL 191.336571 199.485705 \nL 193.05211 197.376636 \nL 194.611171 195.124822 \nL 196.003036 192.729484 \nL 197.217014 190.192882 \nL 198.242648 187.521643 \nL 199.069979 184.72823 \nL 199.68988 181.832432 \nL 200.094555 178.862672 \nL 200.278078 175.856799 \nL 200.237009 172.862049 \nL 199.970999 169.933781 \nL 199.483356 167.132774 \nL 198.781388 164.52104 \nL 197.876542 162.156449 \nL 197.016778 160.47531 \nL 196.046287 159.000689 \nL 194.975458 157.742189 \nL 193.815276 156.700682 \nL 192.576876 155.868174 \nL 191.271075 155.228441 \nL 189.559277 154.664059 \nL 187.774917 154.308494 \nL 185.180078 154.0442 \nL 175.212435 153.329001 \nL 170.910644 152.654262 \nL 163.574947 151.204459 \nL 156.678804 149.929731 \nL 151.500918 149.201858 \nL 146.688493 148.749596 \nL 141.760486 148.524618 \nL 137.308252 148.531955 \nL 132.812904 148.743319 \nL 128.298935 149.163687 \nL 123.791581 149.795741 \nL 119.316621 150.640516 \nL 114.900284 151.697692 \nL 110.569124 152.965739 \nL 106.349939 154.441947 \nL 102.269654 156.122432 \nL 98.35522 158.002115 \nL 95.08728 159.805327 \nL 91.984795 161.751252 \nL 89.065447 163.834148 \nL 86.346681 166.047525 \nL 83.845546 168.384113 \nL 81.578712 170.835886 \nL 79.834416 173.022423 \nL 78.283886 175.281118 \nL 76.936538 177.605556 \nL 75.801328 179.988894 \nL 74.88673 182.423888 \nL 74.200679 184.902889 \nL 73.750492 187.417852 \nL 73.542842 189.960358 \nL 73.58367 192.521629 \nL 73.878142 195.092542 \nL 74.430582 197.663654 \nL 75.244424 200.225234 \nL 76.124114 202.345396 \nL 76.124114 202.345396 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pfe0466b888\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,0], result_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# 4th Order Runge-Kutta"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=torch.optim.SGD,\n",
-    "    optimizer_args={\"lr\": 0.01}\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(20000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [-9.8126e-06, -3.2875e-08,  1.9441e-03],\n",
-       "        [-3.8521e-05, -2.5948e-07,  3.7804e-03],\n",
-       "        ...,\n",
-       "        [ 5.7814e-01, -6.2418e+00,  3.3245e-02],\n",
-       "        [ 6.4026e-01, -6.2482e+00,  3.3545e-02],\n",
-       "        [ 7.0243e-01, -6.2539e+00,  3.3850e-02]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 22
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stderr",
-     "text": [
-      "<ipython-input-23-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T22:24:17.625663</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m27369be7a7\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.977353\" xlink:href=\"#m27369be7a7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(18.425009 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"108.031586\" xlink:href=\"#m27369be7a7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.660492 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"187.085818\" xlink:href=\"#m27369be7a7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(183.904568 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"266.140051\" xlink:href=\"#m27369be7a7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(262.958801 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"345.194283\" xlink:href=\"#m27369be7a7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(338.831783 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_6\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m4aa4da5d64\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4aa4da5d64\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4aa4da5d64\" y=\"208.224534\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 5 -->\n      <g transform=\"translate(13.5625 212.023752)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4aa4da5d64\" y=\"155.233067\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 159.032286)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4aa4da5d64\" y=\"102.241601\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 15 -->\n      <g transform=\"translate(7.2 106.04082)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m4aa4da5d64\" y=\"49.250135\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 53.049353)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_11\">\n    <path clip-path=\"url(#pe207a55be4)\" d=\"M 187.085818 261.216 \nL 186.97251 260.892088 \nL 186.666339 260.846447 \nL 179.878673 260.87101 \nL 194.679902 260.816294 \nL 220.989246 260.639886 \nL 150.350132 260.943237 \nL 141.372107 260.968133 \nL 232.503277 260.616869 \nL 247.960169 260.342456 \nL 249.312954 260.24505 \nL 248.77867 260.199206 \nL 244.500314 260.165548 \nL 229.439802 260.311283 \nL 184.630153 260.774414 \nL 139.647338 260.954923 \nL 103.397527 261.022386 \nL 244.227052 260.601642 \nL 267.762645 260.277609 \nL 281.460518 259.881175 \nL 289.528584 259.43646 \nL 294.412839 258.953492 \nL 297.075941 258.499156 \nL 298.679822 258.019774 \nL 299.392231 257.610633 \nL 299.655658 257.236865 \nL 299.646144 256.916978 \nL 299.43813 256.579655 \nL 298.895813 256.136095 \nL 297.827018 255.578302 \nL 296.000127 254.907973 \nL 293.549066 254.242041 \nL 289.992132 253.530481 \nL 286.234271 252.996715 \nL 281.896706 252.591136 \nL 277.0089 252.354401 \nL 271.607094 252.318695 \nL 265.732949 252.502 \nL 258.499336 252.97807 \nL 249.781018 253.811744 \nL 236.287397 255.383704 \nL 218.545922 257.426398 \nL 206.975524 258.521556 \nL 196.322032 259.308984 \nL 185.497482 259.899107 \nL 173.340717 260.349403 \nL 157.477352 260.692093 \nL 135.795478 260.902894 \nL 95.923376 261.018378 \nL 46.40765 261.070357 \nL 243.121214 260.697454 \nL 278.380061 260.367806 \nL 299.339457 259.956924 \nL 313.272922 259.467219 \nL 323.651323 258.871182 \nL 330.918553 258.239603 \nL 336.597576 257.54019 \nL 340.871819 256.829035 \nL 344.887875 255.943509 \nL 347.718618 255.136773 \nL 350.383589 254.180578 \nL 352.872264 253.045002 \nL 355.172836 251.694133 \nL 356.595482 250.653053 \nL 357.924146 249.482653 \nL 359.15394 248.166444 \nL 360.279497 246.685991 \nL 361.294937 245.020757 \nL 362.193745 243.147954 \nL 362.968744 241.042418 \nL 363.611989 238.676525 \nL 364.114778 236.020157 \nL 364.467492 233.040749 \nL 364.659561 229.70344 \nL 364.679449 225.971378 \nL 364.514506 221.806194 \nL 364.151042 217.168719 \nL 363.574248 212.019984 \nL 362.768262 206.322563 \nL 361.716242 200.042299 \nL 360.400516 193.150487 \nL 358.802764 185.626512 \nL 356.904318 177.460969 \nL 354.686587 168.659207 \nL 352.131492 159.245188 \nL 349.222176 149.265514 \nL 345.94368 138.793279 \nL 342.283851 127.931528 \nL 338.2342 116.815639 \nL 333.790943 105.614303 \nL 331.422066 100.043208 \nL 328.956009 94.528473 \nL 326.394039 89.099679 \nL 323.737904 83.787797 \nL 320.98982 78.624978 \nL 318.152503 73.644172 \nL 315.229179 68.878793 \nL 312.223571 64.362357 \nL 309.139918 60.127996 \nL 305.982954 56.208034 \nL 302.757896 52.633499 \nL 299.470413 49.433684 \nL 296.126605 46.635614 \nL 292.732962 44.263648 \nL 289.296324 42.339052 \nL 285.823822 40.879576 \nL 282.322829 39.899186 \nL 278.800907 39.407748 \nL 275.265724 39.410901 \nL 271.725007 39.909879 \nL 268.186476 40.901529 \nL 264.657761 42.37835 \nL 261.146357 44.328598 \nL 257.659545 46.736525 \nL 254.204345 49.582645 \nL 250.787467 52.844096 \nL 247.415236 56.495021 \nL 244.093578 60.50696 \nL 240.827974 64.849388 \nL 237.62343 69.490144 \nL 234.484458 74.395894 \nL 231.415061 79.532656 \nL 228.418727 84.866208 \nL 225.49843 90.362569 \nL 222.656627 95.988313 \nL 217.215873 107.499479 \nL 212.106505 119.156888 \nL 207.331587 130.745204 \nL 202.888106 142.081342 \nL 196.825484 158.296333 \nL 189.795192 177.922545 \nL 175.551867 218.06076 \nL 171.77847 227.935668 \nL 168.54387 235.759603 \nL 165.741232 241.874318 \nL 163.282919 246.59958 \nL 161.09877 250.216833 \nL 159.133706 252.963831 \nL 157.345223 255.035638 \nL 155.701033 256.588857 \nL 154.176969 257.747133 \nL 152.41418 258.784187 \nL 150.78736 259.493993 \nL 148.993087 260.053059 \nL 146.844608 260.487152 \nL 144.117634 260.787405 \nL 140.285727 260.949696 \nL 139.405224 260.968102 \nL 144.900916 260.966474 \nL 214.317356 260.759987 \nL 242.934057 260.488159 \nL 251.749506 260.227632 \nL 251.964886 260.187287 \nL 251.578344 260.14004 \nL 248.405555 260.089054 \nL 237.365325 260.167734 \nL 174.905153 260.826113 \nL 123.538791 260.987302 \nL 99.896556 261.026207 \nL 235.763713 260.676733 \nL 264.423586 260.360896 \nL 279.933528 259.993006 \nL 289.458703 259.568604 \nL 295.545317 259.093257 \nL 299.460868 258.574409 \nL 301.779504 258.061022 \nL 303.183016 257.529617 \nL 303.814763 257.099149 \nL 304.128809 256.624543 \nL 304.146601 256.212861 \nL 303.953417 255.773333 \nL 303.411016 255.186978 \nL 302.530129 254.564229 \nL 301.02189 253.779846 \nL 299.019169 252.973355 \nL 296.059664 252.039636 \nL 292.438813 251.164185 \nL 288.823096 250.506996 \nL 284.753285 249.979566 \nL 280.252708 249.621678 \nL 275.349673 249.466979 \nL 270.076659 249.538485 \nL 264.469078 249.844823 \nL 258.563781 250.377978 \nL 251.346793 251.252695 \nL 241.63339 252.675015 \nL 216.388983 256.508868 \nL 206.830327 257.694445 \nL 197.127159 258.668704 \nL 187.311501 259.421678 \nL 176.177276 260.027473 \nL 163.758468 260.459907 \nL 148.91445 260.748977 \nL 127.150407 260.932693 \nL 81.358827 261.036487 \nL 44.190929 261.071783 \nL 233.220481 260.754068 \nL 272.79123 260.44707 \nL 296.030917 260.056266 \nL 310.51261 259.615485 \nL 321.364142 259.080187 \nL 329.006462 258.513464 \nL 335.011751 257.885868 \nL 340.654404 257.064696 \nL 344.884633 256.223161 \nL 348.84125 255.167876 \nL 351.615706 254.200643 \nL 354.212794 253.048279 \nL 356.620286 251.672799 \nL 358.113138 250.609654 \nL 359.510951 249.411516 \nL 360.808613 248.060698 \nL 362.000515 246.537348 \nL 363.080475 244.819256 \nL 364.041603 242.881669 \nL 364.876328 240.697128 \nL 365.576207 238.235348 \nL 366.131966 235.46314 \nL 366.533308 232.344433 \nL 366.768923 228.840412 \nL 366.826311 224.909799 \nL 366.691827 220.509355 \nL 366.350573 215.594655 \nL 365.786399 210.121162 \nL 364.981937 204.045743 \nL 363.918668 197.328625 \nL 362.577098 189.935874 \nL 360.9369 181.842467 \nL 358.977372 173.035939 \nL 356.67775 163.520534 \nL 354.017845 153.321824 \nL 350.978809 142.491507 \nL 347.54386 131.112039 \nL 343.699426 119.300736 \nL 339.436114 107.212715 \nL 334.749929 95.041955 \nL 332.24877 88.996524 \nL 329.643403 83.019924 \nL 326.935353 77.146217 \nL 324.126655 71.41104 \nL 321.219902 65.851287 \nL 318.21826 60.504696 \nL 315.125454 55.409434 \nL 311.94582 50.603565 \nL 308.684234 46.124587 \nL 305.346156 42.008846 \nL 301.937571 38.290949 \nL 298.46497 35.0032 \nL 294.935328 32.175091 \nL 291.356026 29.832719 \nL 287.734813 27.998342 \nL 284.079756 26.689949 \nL 280.399149 25.920883 \nL 276.701459 25.699634 \nL 272.995233 26.029577 \nL 269.289046 26.908995 \nL 265.591401 28.331034 \nL 261.910666 30.28387 \nL 258.254991 32.750885 \nL 254.63224 35.711036 \nL 251.049944 39.139196 \nL 247.515213 43.006661 \nL 244.034708 47.281593 \nL 240.614592 51.929605 \nL 237.260489 56.914354 \nL 233.977465 62.198077 \nL 230.770011 67.742144 \nL 227.642035 73.507662 \nL 224.596851 79.455921 \nL 221.637195 85.548937 \nL 218.765239 91.749809 \nL 213.290397 104.335312 \nL 208.179191 116.952169 \nL 203.431105 129.375591 \nL 199.039362 141.419939 \nL 193.092848 158.46742 \nL 186.270974 178.821238 \nL 173.725466 216.637574 \nL 170.077828 226.993688 \nL 166.99729 235.148438 \nL 164.369096 241.48464 \nL 162.099853 246.354611 \nL 160.115312 250.064235 \nL 158.357532 252.868884 \nL 156.782028 254.975891 \nL 155.355112 256.550157 \nL 153.742734 257.962636 \nL 152.288656 258.931792 \nL 150.720446 259.697348 \nL 149.104057 260.238346 \nL 147.15632 260.639233 \nL 144.779143 260.882876 \nL 143.470168 260.954997 \nL 145.249065 260.962811 \nL 201.24412 260.820261 \nL 236.579933 260.559473 \nL 246.447271 260.314844 \nL 246.484918 260.300682 \nL 246.160035 260.270319 \nL 242.704955 260.23738 \nL 228.257166 260.361412 \nL 181.02929 260.80273 \nL 131.685672 260.973643 \nL 107.146001 261.018139 \nL 237.648618 260.650495 \nL 263.732536 260.331917 \nL 278.063581 259.948021 \nL 286.031097 259.531551 \nL 290.738859 259.077578 \nL 293.184085 258.644595 \nL 294.361663 258.241947 \nL 294.774562 257.907518 \nL 294.803754 257.609102 \nL 294.542385 257.295025 \nL 293.840923 256.90208 \nL 292.483747 256.431662 \nL 290.220901 255.899407 \nL 286.775276 255.3472 \nL 282.398635 254.898301 \nL 277.128886 254.611338 \nL 271.737439 254.533617 \nL 264.93589 254.674958 \nL 257.426667 255.061667 \nL 247.403147 255.821138 \nL 207.461213 259.125495 \nL 194.841506 259.804469 \nL 181.947232 260.282328 \nL 166.517453 260.631615 \nL 145.202947 260.866472 \nL 109.33071 260.997743 \nL 49.857014 261.068139 \nL 252.907723 260.626036 \nL 282.133421 260.298007 \nL 300.772711 259.886729 \nL 314.074595 259.370654 \nL 322.739563 258.837624 \nL 329.683829 258.211017 \nL 335.094697 257.521794 \nL 339.155928 256.825276 \nL 342.961157 255.96313 \nL 346.491433 254.89176 \nL 348.945909 253.918166 \nL 351.223471 252.767461 \nL 353.312629 251.405637 \nL 354.594353 250.360854 \nL 355.782319 249.190807 \nL 356.871839 247.880277 \nL 357.857786 246.412383 \nL 358.734549 244.768477 \nL 359.495978 242.928049 \nL 360.135302 240.868667 \nL 360.645133 238.565956 \nL 361.017358 235.993627 \nL 361.243112 233.123603 \nL 361.312714 229.926218 \nL 361.215654 226.370574 \nL 360.940549 222.425043 \nL 360.475139 218.057976 \nL 359.806292 213.238649 \nL 358.390928 205.100098 \nL 356.436496 195.801475 \nL 353.890765 185.297458 \nL 351.839062 177.625724 \nL 349.485988 169.439078 \nL 346.817382 160.774315 \nL 343.820581 151.688632 \nL 340.485119 142.262253 \nL 336.803411 132.600322 \nL 332.771568 122.83383 \nL 328.390087 113.119139 \nL 326.069793 108.336527 \nL 323.664683 103.635815 \nL 321.176355 99.042382 \nL 318.60683 94.582425 \nL 315.958536 90.282701 \nL 313.234306 86.170234 \nL 310.437377 82.272084 \nL 307.571395 78.614911 \nL 304.640419 75.224734 \nL 301.648887 72.126517 \nL 298.601603 69.343851 \nL 295.503724 66.898567 \nL 292.360722 64.810435 \nL 289.178351 63.09684 \nL 285.962603 61.772478 \nL 282.719677 60.849113 \nL 279.455928 60.335378 \nL 276.177816 60.23665 \nL 272.891864 60.554889 \nL 269.604599 61.28866 \nL 266.322492 62.433112 \nL 263.051927 63.980078 \nL 259.799132 65.918177 \nL 256.570153 68.233056 \nL 253.370796 70.907554 \nL 250.206579 73.922022 \nL 247.082723 77.254608 \nL 244.004095 80.881599 \nL 240.975192 84.777809 \nL 238.00013 88.916858 \nL 235.082614 93.271567 \nL 232.225936 97.814342 \nL 229.432968 102.51747 \nL 226.706168 107.353439 \nL 221.458833 117.316628 \nL 216.495505 127.498349 \nL 211.821784 137.711755 \nL 207.437928 147.793423 \nL 201.395077 162.375729 \nL 194.282215 180.297857 \nL 180.51327 215.327989 \nL 176.2758 225.407534 \nL 172.582979 233.534625 \nL 170.108614 238.51525 \nL 167.845482 242.672656 \nL 165.761395 246.120345 \nL 163.828908 248.962972 \nL 162.024902 251.294624 \nL 160.330115 253.198243 \nL 158.213266 255.193507 \nL 156.232884 256.697259 \nL 154.366618 257.823633 \nL 152.598038 258.662642 \nL 150.507042 259.412573 \nL 148.154042 260.005314 \nL 145.258933 260.46656 \nL 141.711831 260.769046 \nL 136.803688 260.935347 \nL 132.155903 260.983098 \nL 140.890714 260.97508 \nL 215.551853 260.761529 \nL 246.301248 260.480325 \nL 258.725633 260.17479 \nL 261.687453 259.939174 \nL 261.709226 259.913524 \nL 261.594215 259.872568 \nL 260.540265 259.787312 \nL 256.339665 259.709339 \nL 246.455236 259.779465 \nL 219.100126 260.285581 \nL 191.416532 260.671107 \nL 158.785634 260.886267 \nL 97.182761 261.024938 \nL 87.190653 261.038994 \nL 227.435653 260.744408 \nL 262.128126 260.448885 \nL 281.893501 260.076079 \nL 293.887244 259.647176 \nL 302.005657 259.150272 \nL 307.67668 258.590134 \nL 311.425555 258.025429 \nL 314.144996 257.427395 \nL 316.381922 256.701162 \nL 317.858866 255.980277 \nL 318.77607 255.316751 \nL 319.449637 254.567177 \nL 319.871531 253.723405 \nL 320.033578 252.777706 \nL 319.927547 251.723264 \nL 319.54531 250.554796 \nL 318.87886 249.269304 \nL 317.920582 247.866955 \nL 316.301735 245.956727 \nL 314.2043 243.891053 \nL 311.619877 241.705524 \nL 308.5446 239.45358 \nL 305.732125 237.65212 \nL 302.611077 235.899268 \nL 299.189246 234.246388 \nL 295.478135 232.749006 \nL 292.514069 231.762309 \nL 289.403765 230.918613 \nL 286.156293 230.239854 \nL 282.781792 229.745507 \nL 279.291332 229.451697 \nL 275.696725 229.370369 \nL 272.01032 229.508619 \nL 268.244784 229.868243 \nL 264.412813 230.445495 \nL 260.526898 231.231142 \nL 256.599051 232.210766 \nL 251.316161 233.78517 \nL 246.00305 235.614669 \nL 239.350525 238.162888 \nL 228.751994 242.534209 \nL 216.976494 247.342867 \nL 210.516776 249.76977 \nL 204.114615 251.944805 \nL 197.764883 253.837764 \nL 191.461076 255.440747 \nL 185.196828 256.763623 \nL 178.967066 257.828967 \nL 172.768786 258.667168 \nL 165.371877 259.421038 \nL 156.80448 260.026927 \nL 147.114964 260.460013 \nL 135.209773 260.755025 \nL 117.977787 260.938691 \nL 82.626362 261.034891 \nL 47.416606 261.069705 \nL 235.897737 260.737488 \nL 272.827795 260.437636 \nL 295.413321 260.049079 \nL 309.455456 259.614963 \nL 319.957538 259.092293 \nL 328.52715 258.434546 \nL 334.251513 257.79861 \nL 339.611793 256.970951 \nL 343.615741 256.127271 \nL 347.346333 255.074857 \nL 349.951895 254.115011 \nL 352.38107 252.976678 \nL 354.622157 251.624537 \nL 356.005208 250.583833 \nL 357.294396 249.41515 \nL 358.484896 248.102385 \nL 359.571415 246.627578 \nL 360.548149 244.970766 \nL 361.408703 243.10985 \nL 362.146022 241.020496 \nL 362.752354 238.676057 \nL 363.219151 236.04757 \nL 363.537034 233.103821 \nL 363.695719 229.81151 \nL 363.683943 226.135572 \nL 363.489462 222.039658 \nL 363.099007 217.486857 \nL 362.498283 212.440661 \nL 361.672032 206.866287 \nL 360.60406 200.732326 \nL 359.277432 194.012833 \nL 357.674658 186.689827 \nL 355.777962 178.756217 \nL 353.5697 170.21913 \nL 351.032805 161.10347 \nL 348.151398 151.455648 \nL 344.911488 141.347075 \nL 341.301795 130.877266 \nL 337.314599 120.175969 \nL 332.946673 109.403911 \nL 328.200175 98.751705 \nL 325.687329 93.5375 \nL 323.083531 88.436437 \nL 320.390921 83.478796 \nL 317.612123 78.695608 \nL 314.750213 74.118347 \nL 311.808757 69.778506 \nL 308.791803 65.707257 \nL 305.703868 61.935024 \nL 302.549912 58.490995 \nL 299.335325 55.402784 \nL 296.065914 52.695902 \nL 292.747845 50.393394 \nL 289.387616 48.515434 \nL 285.991999 47.078981 \nL 282.568011 46.097459 \nL 279.122838 45.580531 \nL 275.663778 45.533895 \nL 272.198189 45.959211 \nL 268.733437 46.854033 \nL 265.276805 48.21183 \nL 261.835455 50.022152 \nL 258.41636 52.270768 \nL 255.026261 54.939929 \nL 251.671604 58.008673 \nL 248.358499 61.453147 \nL 245.092673 65.247051 \nL 241.87944 69.362044 \nL 238.723678 73.768128 \nL 235.629805 78.434172 \nL 232.601758 83.328278 \nL 229.642991 88.418244 \nL 226.756473 93.671968 \nL 223.944688 99.057805 \nL 218.552903 110.103489 \nL 213.478327 121.323089 \nL 208.724958 132.509052 \nL 204.290908 143.483257 \nL 198.222445 159.23594 \nL 191.153769 178.393703 \nL 177.759353 215.122906 \nL 173.734071 225.487879 \nL 170.271991 233.765431 \nL 167.263828 240.27928 \nL 164.618769 245.343207 \nL 162.828464 248.361242 \nL 160.651302 251.544602 \nL 158.670526 253.959431 \nL 156.849065 255.77899 \nL 155.158889 257.141905 \nL 153.57916 258.157381 \nL 151.737035 259.065664 \nL 149.694976 259.784567 \nL 147.519106 260.292996 \nL 145.0248 260.643713 \nL 141.611473 260.875933 \nL 137.390916 260.972988 \nL 141.843039 260.971556 \nL 212.832251 260.770504 \nL 243.317745 260.495571 \nL 253.844379 260.216437 \nL 254.676133 260.119361 \nL 254.381954 260.072952 \nL 251.926889 260.008437 \nL 243.44852 260.03691 \nL 214.97059 260.444938 \nL 183.478911 260.767356 \nL 141.163305 260.948522 \nL 96.332732 261.029994 \nL 249.240649 260.569989 \nL 272.225466 260.233795 \nL 285.434942 259.846231 \nL 293.846969 259.40516 \nL 299.646627 258.889253 \nL 303.402173 258.337643 \nL 305.663247 257.808902 \nL 307.117822 257.274786 \nL 307.975806 256.766277 \nL 308.501665 256.195659 \nL 308.677147 255.692328 \nL 308.629967 255.146403 \nL 308.356105 254.55793 \nL 307.689557 253.764431 \nL 306.657215 252.91182 \nL 304.92926 251.824479 \nL 302.663776 250.691906 \nL 299.861207 249.550993 \nL 296.527758 248.449616 \nL 292.67635 247.444962 \nL 289.085573 246.726944 \nL 285.164805 246.156501 \nL 280.933377 245.767659 \nL 276.413793 245.588639 \nL 271.631166 245.638919 \nL 266.612397 245.926791 \nL 261.385229 246.447876 \nL 254.876276 247.355751 \nL 248.152042 248.521684 \nL 238.920949 250.353687 \nL 217.39236 254.709991 \nL 208.827626 256.188497 \nL 200.186451 257.445549 \nL 191.483963 258.461894 \nL 182.735656 259.245836 \nL 172.705029 259.892389 \nL 161.420072 260.367956 \nL 147.71243 260.699125 \nL 129.400579 260.903008 \nL 95.550344 261.016949 \nL 43.157727 261.072407 \nL 248.315051 260.66817 \nL 280.998953 260.341481 \nL 300.928743 259.93998 \nL 313.860889 259.490713 \nL 323.323926 258.97993 \nL 330.960788 258.372623 \nL 336.952883 257.697091 \nL 341.480549 257.007295 \nL 345.752335 256.144638 \nL 348.776172 255.355467 \nL 351.635172 254.416411 \nL 354.318584 253.29645 \nL 356.81433 251.958058 \nL 358.367149 250.922449 \nL 359.825894 249.754212 \nL 361.185483 248.435731 \nL 362.440382 246.947178 \nL 363.584426 245.266303 \nL 364.610797 243.368229 \nL 365.511927 241.225266 \nL 366.279463 238.806747 \nL 366.904101 236.078931 \nL 367.375557 233.004961 \nL 367.682463 229.544958 \nL 367.812273 225.656237 \nL 367.751205 221.293761 \nL 367.484197 216.410826 \nL 366.994843 210.960095 \nL 366.26541 204.895036 \nL 365.276946 198.171823 \nL 364.009335 190.751828 \nL 362.441558 182.604696 \nL 360.551949 173.712068 \nL 358.318687 164.071919 \nL 355.720302 153.703395 \nL 352.736453 142.651991 \nL 349.348774 130.994683 \nL 345.541871 118.844613 \nL 341.304494 106.354694 \nL 336.630733 93.719462 \nL 334.130147 87.419418 \nL 331.521312 81.174348 \nL 328.805542 75.019435 \nL 325.984706 68.991712 \nL 323.06123 63.129729 \nL 320.038162 57.473147 \nL 316.91912 52.062335 \nL 313.708371 46.937782 \nL 310.410786 42.139595 \nL 307.031822 37.706908 \nL 303.577527 33.677241 \nL 300.054505 30.085908 \nL 296.469872 26.965434 \nL 292.831206 24.344889 \nL 289.146505 22.24942 \nL 285.424101 20.699725 \nL 281.672618 19.711674 \nL 277.900877 19.296 \nL 274.11782 19.458 \nL 270.332426 20.197533 \nL 266.553644 21.508917 \nL 262.790287 23.381076 \nL 259.050964 25.797736 \nL 255.344001 28.737793 \nL 251.677379 32.175637 \nL 248.058665 36.081691 \nL 244.494946 40.422886 \nL 240.992792 45.163341 \nL 237.558216 50.264869 \nL 234.196641 55.687669 \nL 230.912883 61.390926 \nL 227.711136 67.333424 \nL 224.59497 73.474066 \nL 221.567344 79.772442 \nL 218.630611 86.189256 \nL 213.036341 99.229114 \nL 207.819799 112.315951 \nL 202.980748 125.209788 \nL 198.512262 137.712523 \nL 192.476193 155.40475 \nL 185.578358 176.508693 \nL 171.123967 221.240692 \nL 167.822669 230.707214 \nL 165.0433 238.092071 \nL 162.67808 243.78468 \nL 160.640603 248.130403 \nL 158.863009 251.421461 \nL 157.29289 253.897192 \nL 155.890344 255.749054 \nL 154.327904 257.412492 \nL 152.938965 258.555253 \nL 151.461998 259.459185 \nL 149.962753 260.09907 \nL 148.349692 260.541894 \nL 146.394936 260.836968 \nL 145.169451 260.944811 \nL 146.268206 260.95874 \nL 182.770381 260.884417 \nL 229.4314 260.636133 \nL 243.895056 260.378162 \nL 244.192654 260.345222 \nL 243.380995 260.304473 \nL 237.034121 260.306047 \nL 202.767995 260.652239 \nL 163.759636 260.886247 \nL 110.19572 261.014458 \nL 256.775084 260.432487 \nL 273.146138 260.073245 \nL 282.026885 259.679246 \nL 286.940777 259.266889 \nL 289.455808 258.867757 \nL 290.580152 258.491052 \nL 290.846745 258.21688 \nL 290.767712 257.976559 \nL 290.411522 257.728028 \nL 289.443225 257.372625 \nL 287.662866 256.969874 \nL 284.804258 256.548571 \nL 280.583618 256.165739 \nL 275.301806 255.927509 \nL 269.017017 255.883102 \nL 261.804205 256.06069 \nL 252.902401 256.506604 \nL 239.348742 257.43254 \nL 216.050613 259.030469 \nL 201.876289 259.7596 \nL 187.206084 260.279739 \nL 171.076815 260.627008 \nL 149.112425 260.8603 \nL 111.795259 260.994878 \nL 53.315531 261.065878 \nL 252.032973 260.62744 \nL 281.913171 260.286914 \nL 299.930553 259.879582 \nL 312.753192 259.373926 \nL 322.228616 258.76787 \nL 328.814333 258.134911 \nL 333.925156 257.44318 \nL 337.746293 256.748249 \nL 341.312033 255.893061 \nL 344.604235 254.837038 \nL 346.881662 253.883028 \nL 348.984073 252.76157 \nL 350.900628 251.44193 \nL 352.619158 249.88805 \nL 353.648108 248.701495 \nL 354.57843 247.378197 \nL 355.405224 245.902687 \nL 356.123106 244.25805 \nL 356.726242 242.42588 \nL 357.208223 240.386288 \nL 357.562113 238.117936 \nL 357.780343 235.598138 \nL 357.854725 232.803042 \nL 357.776377 229.707898 \nL 357.535756 226.287457 \nL 356.847925 220.491874 \nL 355.73437 213.826753 \nL 354.154667 206.222263 \nL 352.066128 197.629606 \nL 349.425041 188.033514 \nL 346.188538 177.467105 \nL 343.680367 169.928909 \nL 340.879705 162.049535 \nL 337.778169 153.895091 \nL 334.369803 145.5508 \nL 330.651575 137.121659 \nL 326.624015 128.731998 \nL 322.291749 120.523954 \nL 320.014052 116.536606 \nL 317.664023 112.654435 \nL 315.243593 108.898626 \nL 312.755032 105.290666 \nL 310.200925 101.852095 \nL 307.584189 98.6043 \nL 304.90806 95.568253 \nL 302.176096 92.76428 \nL 299.392156 90.211768 \nL 296.56038 87.928948 \nL 293.685178 85.932591 \nL 290.77121 84.237796 \nL 287.823338 82.857783 \nL 284.846621 81.80367 \nL 281.846261 81.084292 \nL 278.827588 80.706055 \nL 275.796001 80.672883 \nL 272.75695 80.986069 \nL 269.71587 81.644298 \nL 266.678176 82.643689 \nL 263.649197 83.977795 \nL 260.634151 85.63772 \nL 257.638103 87.612246 \nL 254.665933 89.88803 \nL 251.722298 92.44974 \nL 248.811624 95.280346 \nL 245.938062 98.3613 \nL 243.105475 101.672832 \nL 240.317419 105.194172 \nL 237.577128 108.903851 \nL 234.887511 112.779938 \nL 232.251147 116.800296 \nL 227.146793 125.185672 \nL 222.278019 133.887489 \nL 217.653682 142.743462 \nL 213.277927 151.606258 \nL 207.179196 164.636322 \nL 199.887931 180.998168 \nL 184.139567 216.842065 \nL 179.668438 226.277741 \nL 176.65185 232.207051 \nL 173.880318 237.251923 \nL 171.318918 241.509106 \nL 168.936898 245.075426 \nL 166.707618 248.043516 \nL 164.608305 250.499188 \nL 162.619745 252.520034 \nL 160.725915 254.174886 \nL 158.913597 255.523888 \nL 156.60566 256.935379 \nL 154.403839 257.996906 \nL 152.293587 258.790153 \nL 149.769124 259.501028 \nL 146.889583 260.063951 \nL 143.286709 260.502194 \nL 138.766194 260.789047 \nL 132.213639 260.946273 \nL 124.053488 260.995948 \nL 138.608941 260.98082 \nL 216.582739 260.764791 \nL 248.962581 260.48271 \nL 263.984209 260.157858 \nL 270.592905 259.823113 \nL 272.463916 259.55223 \nL 272.543673 259.471498 \nL 272.48673 259.423633 \nL 271.947519 259.300477 \nL 270.0765 259.138715 \nL 265.610271 259.00031 \nL 257.98024 259.004305 \nL 245.858618 259.255846 \nL 195.69915 260.518522 \nL 170.479918 260.796127 \nL 132.051075 260.961058 \nL 73.55185 261.050903 \nL 255.211183 260.563574 \nL 280.693879 260.205886 \nL 295.952766 259.784479 \nL 305.751704 259.322799 \nL 312.82143 258.80379 \nL 318.382253 258.194112 \nL 322.642383 257.515402 \nL 325.808635 256.807376 \nL 328.602617 255.936752 \nL 330.553928 255.097806 \nL 332.238743 254.107522 \nL 333.318959 253.249767 \nL 334.234851 252.279751 \nL 334.979558 251.184045 \nL 335.545692 249.948255 \nL 335.925366 248.557177 \nL 336.110182 246.995051 \nL 336.091168 245.24593 \nL 335.85884 243.294189 \nL 335.403246 241.125207 \nL 334.713967 238.726232 \nL 333.412928 235.153464 \nL 331.651846 231.143984 \nL 329.405768 226.706653 \nL 326.651789 221.877105 \nL 324.241401 218.037867 \nL 321.528707 214.060005 \nL 318.510434 210.000819 \nL 315.186431 205.93139 \nL 311.560333 201.935865 \nL 308.978851 199.359964 \nL 306.270054 196.889563 \nL 303.438437 194.556187 \nL 300.489486 192.391786 \nL 297.42971 190.428009 \nL 294.266586 188.695397 \nL 291.008506 187.222523 \nL 287.664736 186.035171 \nL 284.245287 185.155495 \nL 280.760812 184.601296 \nL 277.222447 184.385393 \nL 273.641659 184.515136 \nL 270.030066 184.992121 \nL 266.399264 185.812062 \nL 262.760658 186.964893 \nL 259.125256 188.435058 \nL 255.503553 190.201964 \nL 251.905349 192.240616 \nL 248.339651 194.522389 \nL 244.81454 197.015829 \nL 241.33713 199.687553 \nL 236.223468 203.954039 \nL 231.246685 208.428009 \nL 224.842026 214.524856 \nL 204.55933 234.210956 \nL 199.323989 238.817145 \nL 195.535596 241.904944 \nL 191.853479 244.676338 \nL 188.266788 247.138746 \nL 184.765094 249.305971 \nL 181.338633 251.19642 \nL 177.978488 252.831517 \nL 174.676704 254.234381 \nL 170.353263 255.784602 \nL 166.107748 257.019384 \nL 161.929692 257.990747 \nL 157.811536 258.745873 \nL 152.740752 259.448413 \nL 146.762973 260.025657 \nL 139.937608 260.44627 \nL 131.417326 260.741667 \nL 118.839993 260.931153 \nL 94.323143 261.023833 \nL 71.925245 261.052207 \nL 238.931428 260.693627 \nL 271.122006 260.379634 \nL 289.832233 259.999535 \nL 302.471414 259.534363 \nL 310.998994 259.017114 \nL 316.990245 258.466088 \nL 321.634874 257.851052 \nL 325.132474 257.207409 \nL 328.267771 256.412954 \nL 330.499389 255.644228 \nL 332.471071 254.732823 \nL 334.168687 253.652371 \nL 335.252794 252.712991 \nL 336.167042 251.647218 \nL 336.903848 250.439464 \nL 337.455054 249.072963 \nL 337.8119 247.529952 \nL 337.96496 245.791968 \nL 337.904179 243.840293 \nL 337.618851 241.656571 \nL 337.097651 239.223646 \nL 336.328758 236.526632 \nL 335.299989 233.554233 \nL 333.502689 229.153102 \nL 331.192649 224.258314 \nL 328.343163 218.906692 \nL 325.838264 214.637456 \nL 323.010039 210.202718 \nL 319.854281 205.668125 \nL 316.370372 201.115924 \nL 312.562066 196.644193 \nL 309.847072 193.762444 \nL 306.995627 191.001615 \nL 304.012818 188.398717 \nL 300.904904 185.991239 \nL 297.679325 183.81624 \nL 294.34464 181.909327 \nL 290.910489 180.303628 \nL 287.387512 179.028726 \nL 283.787182 178.109688 \nL 280.121692 177.566156 \nL 276.403766 177.411625 \nL 272.64644 177.652923 \nL 268.862878 178.289871 \nL 265.066167 179.315258 \nL 261.269065 180.715021 \nL 257.483829 182.468697 \nL 253.72201 184.550072 \nL 249.994306 186.928041 \nL 246.310415 189.567583 \nL 242.678938 192.430815 \nL 239.107299 195.478091 \nL 233.875272 200.305913 \nL 228.807365 205.323344 \nL 222.321713 212.092812 \nL 204.734056 230.772757 \nL 199.4424 235.966055 \nL 195.634241 239.449985 \nL 191.949703 242.57778 \nL 188.376163 245.357 \nL 184.901438 247.802827 \nL 181.514079 249.935902 \nL 178.203589 251.780444 \nL 174.960554 253.362655 \nL 171.776709 254.709452 \nL 167.611547 256.184877 \nL 163.525418 257.349071 \nL 159.507988 258.256881 \nL 154.571936 259.104398 \nL 149.723451 259.706759 \nL 144.01656 260.195542 \nL 136.601083 260.583621 \nL 126.806431 260.840474 \nL 111.242003 260.982525 \nL 75.862886 261.048945 \nL 134.279786 260.996418 \nL 223.359913 260.77544 \nL 262.734014 260.47747 \nL 284.592143 260.103056 \nL 297.952199 259.670373 \nL 307.126666 259.169729 \nL 313.672922 258.609573 \nL 318.759966 257.955223 \nL 322.60333 257.231292 \nL 325.415406 256.480892 \nL 327.394053 255.762685 \nL 329.119173 254.920011 \nL 330.57834 253.931998 \nL 331.490145 253.081585 \nL 332.238788 252.125438 \nL 332.817874 251.052017 \nL 333.220588 249.8492 \nL 333.439767 248.504488 \nL 333.467798 247.005294 \nL 333.296718 245.339331 \nL 332.91819 243.495133 \nL 332.075805 240.741971 \nL 330.828219 237.637409 \nL 329.154366 234.175705 \nL 327.034011 230.367163 \nL 324.448835 226.243348 \nL 321.383939 221.862184 \nL 318.764324 218.459428 \nL 315.867628 215.010452 \nL 312.694945 211.57508 \nL 309.250548 208.22276 \nL 305.542235 205.030919 \nL 302.929013 203.032995 \nL 300.208041 201.168442 \nL 297.384565 199.462412 \nL 294.464626 197.939375 \nL 291.455008 196.622503 \nL 288.36319 195.53305 \nL 285.197307 194.68974 \nL 281.966036 194.108201 \nL 278.678485 193.800453 \nL 275.344109 193.774528 \nL 271.972534 194.034129 \nL 268.573478 194.57852 \nL 265.156577 195.402463 \nL 261.731248 196.496353 \nL 258.306582 197.846474 \nL 254.891196 199.435375 \nL 251.493144 201.242351 \nL 248.119819 203.244015 \nL 243.120546 206.555522 \nL 238.210797 210.156452 \nL 233.405482 213.95355 \nL 227.178736 219.165152 \nL 207.105622 236.332367 \nL 201.833531 240.438299 \nL 196.737561 244.079592 \nL 193.018917 246.499287 \nL 189.37921 248.656762 \nL 185.810062 250.562245 \nL 182.303602 252.230073 \nL 178.852633 253.677402 \nL 174.326682 255.296927 \nL 169.87518 256.604671 \nL 165.487952 257.646738 \nL 161.157468 258.466654 \nL 155.816626 259.239039 \nL 149.507412 259.88254 \nL 142.284437 260.358238 \nL 133.234838 260.697126 \nL 120.725494 260.908328 \nL 98.409532 261.014645 \nL 66.597565 261.056333 \nL 253.098066 260.596498 \nL 280.713172 260.244696 \nL 297.449809 259.818725 \nL 308.31176 259.339976 \nL 316.226328 258.788923 \nL 322.515422 258.12661 \nL 327.386197 257.372723 \nL 331.047685 256.56989 \nL 333.698211 255.782706 \nL 336.085423 254.837324 \nL 337.693504 254.004972 \nL 339.1372 253.049271 \nL 340.40852 251.95209 \nL 341.498824 250.69309 \nL 342.398567 249.249648 \nL 343.097391 247.596881 \nL 343.583895 245.707772 \nL 343.845611 243.553478 \nL 343.868952 241.10387 \nL 343.639203 238.32835 \nL 343.140485 235.197059 \nL 342.355865 231.682502 \nL 341.267552 227.761698 \nL 339.857118 223.418878 \nL 338.105974 218.648718 \nL 335.995887 213.46007 \nL 333.509746 207.87997 \nL 330.632471 201.957707 \nL 327.352135 195.768454 \nL 323.661155 189.415908 \nL 320.971168 185.154758 \nL 318.098809 180.926209 \nL 315.046745 176.781919 \nL 311.819312 172.777869 \nL 308.422654 168.973241 \nL 304.86477 165.429049 \nL 301.155575 162.206481 \nL 297.306836 159.365011 \nL 295.33431 158.10482 \nL 293.332118 156.960429 \nL 291.302211 155.937901 \nL 289.246626 155.042807 \nL 287.167488 154.2802 \nL 285.066992 153.654536 \nL 282.947398 153.169628 \nL 280.811023 152.828597 \nL 278.660218 152.633869 \nL 276.49738 152.587123 \nL 274.324914 152.689247 \nL 272.145249 152.940383 \nL 269.960796 153.339875 \nL 267.773961 153.886277 \nL 265.587118 154.577405 \nL 263.402605 155.410309 \nL 261.222714 156.38133 \nL 259.049675 157.48613 \nL 256.885646 158.719739 \nL 252.592849 161.550597 \nL 248.359871 164.823337 \nL 244.200635 168.480803 \nL 240.127243 172.461257 \nL 236.149901 176.700495 \nL 232.276852 181.133848 \nL 226.676075 188.010111 \nL 221.33706 194.981508 \nL 214.632657 204.124706 \nL 201.203839 222.615702 \nL 195.894775 229.506734 \nL 192.14135 234.078892 \nL 188.561907 238.144094 \nL 185.137251 241.721255 \nL 181.849151 244.839133 \nL 178.680712 247.532895 \nL 175.616608 249.841276 \nL 172.643211 251.804332 \nL 169.748612 253.461748 \nL 166.922596 254.851613 \nL 164.15655 256.009596 \nL 160.549675 257.249012 \nL 157.02375 258.202827 \nL 153.569321 258.929639 \nL 149.342465 259.592531 \nL 144.395718 260.125872 \nL 138.794964 260.506682 \nL 131.129178 260.788366 \nL 119.806616 260.952359 \nL 94.147306 261.029412 \nL 89.49657 261.036765 \nL 229.320721 260.731429 \nL 262.925992 260.42972 \nL 281.903378 260.053539 \nL 293.324194 259.626012 \nL 300.989094 259.136652 \nL 306.292091 258.591535 \nL 310.205659 257.960231 \nL 312.6119 257.372558 \nL 314.538799 256.666623 \nL 315.761416 255.973523 \nL 316.478861 255.341765 \nL 316.956982 254.634731 \nL 317.188767 253.846749 \nL 317.16722 252.972916 \nL 316.885495 252.009552 \nL 316.337004 250.954752 \nL 315.515502 249.809016 \nL 314.096112 248.254805 \nL 312.232008 246.580041 \nL 309.916546 244.811769 \nL 307.146735 242.990076 \nL 303.924255 241.168813 \nL 301.025086 239.756712 \nL 297.847555 238.426866 \nL 294.401364 237.221596 \nL 290.699218 236.184234 \nL 286.756835 235.356712 \nL 282.592739 234.77686 \nL 279.336718 234.523467 \nL 275.977341 234.436696 \nL 272.524689 234.52276 \nL 268.989114 234.783996 \nL 264.164087 235.40122 \nL 259.234702 236.310894 \nL 254.224339 237.48543 \nL 249.154616 238.886787 \nL 242.763034 240.886863 \nL 233.767529 243.970316 \nL 218.364794 249.309975 \nL 210.708832 251.717211 \nL 204.356646 253.500717 \nL 198.028233 255.055292 \nL 191.721062 256.374398 \nL 185.43276 257.465582 \nL 179.162024 258.346626 \nL 171.661023 259.160845 \nL 164.190594 259.754659 \nL 155.52606 260.231474 \nL 144.500965 260.603698 \nL 130.104171 260.849014 \nL 106.258389 260.99108 \nL 45.337521 261.071061 \nL 148.035262 260.982894 \nL 232.695726 260.755699 \nL 271.956664 260.453845 \nL 295.020212 260.072189 \nL 309.395648 259.644144 \nL 320.17043 259.126788 \nL 328.981643 258.473094 \nL 334.879528 257.838681 \nL 340.413526 257.009982 \nL 344.55609 256.162183 \nL 348.424498 255.10087 \nL 351.132549 254.129701 \nL 353.663156 252.974423 \nL 356.004198 251.597733 \nL 357.45284 250.535186 \nL 358.806564 249.339185 \nL 360.060348 247.992498 \nL 361.208673 246.475828 \nL 362.245434 244.767635 \nL 363.163889 242.84398 \nL 363.956606 240.678379 \nL 364.615351 238.241708 \nL 365.131047 235.502156 \nL 365.493683 232.425266 \nL 365.692235 228.974091 \nL 365.714596 225.109509 \nL 365.547573 220.790727 \nL 365.17678 215.976045 \nL 364.586687 210.623926 \nL 363.760602 204.694456 \nL 362.680807 198.151215 \nL 361.328697 190.963647 \nL 359.684941 183.109935 \nL 357.729891 174.580419 \nL 355.44396 165.381474 \nL 352.808151 155.539713 \nL 349.804775 145.106412 \nL 346.418257 134.16167 \nL 342.636022 122.818114 \nL 338.449565 111.22341 \nL 333.855448 99.56113 \nL 331.406113 93.771556 \nL 328.856447 88.049367 \nL 326.207896 82.426523 \nL 323.462436 76.936409 \nL 320.622556 71.613571 \nL 317.69127 66.493324 \nL 314.672137 61.611367 \nL 311.569244 57.003318 \nL 308.387227 52.704251 \nL 305.131243 48.748185 \nL 301.806954 45.167566 \nL 298.420504 41.992735 \nL 294.978468 39.251448 \nL 291.487818 36.968386 \nL 287.955892 35.164715 \nL 284.390303 33.857656 \nL 280.798893 33.060209 \nL 277.189674 32.780883 \nL 273.570761 33.02352 \nL 269.950272 33.787208 \nL 266.336296 35.06633 \nL 262.736788 36.850596 \nL 259.159529 39.125309 \nL 255.612042 41.871569 \nL 252.101534 45.066654 \nL 248.634845 48.684408 \nL 245.2184 52.69568 \nL 241.858164 57.068854 \nL 238.559614 61.770335 \nL 235.327706 66.765089 \nL 232.166855 72.017136 \nL 229.08094 77.490068 \nL 226.073279 83.147559 \nL 223.146652 88.95379 \nL 220.303296 94.873809 \nL 214.872788 106.922119 \nL 209.78969 119.043272 \nL 205.054826 131.01982 \nL 200.662932 142.670113 \nL 194.694612 159.227187 \nL 187.811576 179.103798 \nL 175.017119 216.388737 \nL 171.250895 226.695696 \nL 168.047652 234.848137 \nL 165.294958 241.208326 \nL 162.900722 246.114663 \nL 160.791329 249.864255 \nL 158.909076 252.707373 \nL 157.209476 254.848734 \nL 155.65875 256.452201 \nL 154.231602 257.646784 \nL 152.593534 258.715465 \nL 151.094243 259.446475 \nL 149.455391 260.022083 \nL 147.516188 260.469098 \nL 145.102978 260.778577 \nL 141.745576 260.951047 \nL 141.433612 260.962607 \nL 145.010788 260.965141 \nL 211.413476 260.773653 \nL 241.05994 260.504805 \nL 249.210594 260.257618 \nL 249.231041 260.245244 \nL 249.009856 260.215634 \nL 246.503234 260.169494 \nL 235.844167 260.234932 \nL 171.377621 260.848325 \nL 114.516473 261.0037 \nL 103.505164 261.022298 \nL 198.191846 260.857243 \nL 198.191846 260.857243 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe207a55be4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"283.587799pt\" version=\"1.1\" viewBox=\"0 0 292.988273 283.587799\" width=\"292.988273pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T22:24:18.038697</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 283.587799 \nL 292.988273 283.587799 \nL 292.988273 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 30.916434 208.880628 \nL 118.604822 135.033233 \nL 117.528082 28.708787 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.46424 218.857541 \nL 147.517341 143.436961 \nL 147.675308 36.35023 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 92.694834 229.057453 \nL 177.022148 152.012843 \nL 178.467018 44.155031 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.631367 239.487924 \nL 207.137631 160.766225 \nL 209.9241 52.128485 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 157.29805 250.156863 \nL 237.882948 169.702675 \nL 242.068359 60.276117 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 31.679898 208.237671 \nL 29.386237 210.169294 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(12.829713 232.152277)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 62.214137 218.200299 \nL 59.961197 220.174871 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.589772 242.340488)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 93.430365 228.385444 \nL 91.220551 230.404413 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(82.0445 252.757285)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 125.351688 238.800645 \nL 123.187537 240.865527 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(114.018809 263.410447)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 158.002268 249.453787 \nL 155.886459 251.566164 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(143.545717 274.308112)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 31.892962 87.683891 \nL 36.829773 199.703641 \nL 185.426821 247.639502 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.550093 71.149749 \nL 58.408133 181.616232 \nL 204.972214 227.58112 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 76.268388 55.300727 \nL 79.130219 164.246568 \nL 223.702133 208.359615 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.105015 40.095105 \nL 99.046009 147.552758 \nL 241.66657 189.923684 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 184.174807 247.235615 \nL 187.934076 248.448317 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −10 -->\n     <g transform=\"translate(187.712796 268.613238)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 203.738657 227.194256 \nL 207.44244 228.355823 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −5 -->\n     <g transform=\"translate(210.177167 248.258008)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 222.486599 207.988721 \nL 226.136204 209.10232 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(232.845141 228.752526)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 240.468631 189.56779 \nL 244.065347 190.636333 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 5 -->\n     <g transform=\"translate(250.567655 210.04467)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_12\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.30663 150.559821 \nL 114.89978 110.348259 \nL 26.086769 182.64309 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.349263 127.79137 \nL 114.646493 88.321793 \nL 24.963006 159.307425 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.411238 104.60056 \nL 114.388736 65.906532 \nL 23.81759 135.522114 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.493097 80.975526 \nL 114.126388 43.092091 \nL 22.649888 111.274033 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_13\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_14\">\n     <path d=\"M 256.110887 150.222178 \nL 259.700989 151.235918 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 5 -->\n     <g transform=\"translate(272.552057 155.601436)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 257.142115 127.459813 \nL 260.766486 128.455288 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 10 -->\n     <g transform=\"translate(270.579075 132.879136)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 258.192465 104.275374 \nL 261.851765 105.251726 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 15 -->\n     <g transform=\"translate(271.809689 109.736631)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 259.262474 80.65701 \nL 262.957382 81.613346 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(273.063273 86.162157)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_18\">\n    <path clip-path=\"url(#p6f913be9f3)\" d=\"M 142.475068 181.456516 \nL 142.364724 181.290887 \nL 142.119796 181.382037 \nL 142.126111 181.549011 \nL 142.365602 181.641701 \nL 142.697915 181.550357 \nL 142.768611 181.352451 \nL 142.594868 181.201973 \nL 142.214691 181.172231 \nL 141.890897 181.345345 \nL 141.859833 181.567685 \nL 142.062951 181.746951 \nL 142.482344 181.814015 \nL 142.924164 181.675997 \nL 143.110586 181.419167 \nL 143.036917 181.179616 \nL 142.737202 180.988658 \nL 142.223264 180.928765 \nL 141.700816 181.07917 \nL 141.418711 181.365154 \nL 141.411158 181.657518 \nL 141.628488 181.915479 \nL 142.089752 182.101101 \nL 142.727856 182.115578 \nL 143.317811 181.918255 \nL 143.662529 181.587797 \nL 143.725798 181.242715 \nL 143.56045 180.926921 \nL 143.153271 180.654084 \nL 142.518843 180.501719 \nL 141.764066 180.544563 \nL 141.093552 180.795552 \nL 140.675972 181.1758 \nL 140.543877 181.572534 \nL 140.646924 181.958939 \nL 140.975071 182.307426 \nL 141.556198 182.588739 \nL 142.346603 182.723132 \nL 143.227664 182.65265 \nL 144.017295 182.375878 \nL 144.567127 181.961901 \nL 144.83478 181.503288 \nL 144.856695 181.052932 \nL 144.652469 180.611507 \nL 144.209951 180.208243 \nL 143.513214 179.885208 \nL 142.58858 179.708711 \nL 141.543912 179.740105 \nL 140.560457 179.988529 \nL 139.775818 180.405883 \nL 139.266103 180.910757 \nL 139.019684 181.454668 \nL 139.018854 181.987406 \nL 139.236865 182.491034 \nL 139.68804 182.970261 \nL 140.407789 183.395248 \nL 141.36247 183.694668 \nL 142.499996 183.817732 \nL 143.694631 183.728485 \nL 144.838973 183.422619 \nL 145.765423 182.955291 \nL 146.429489 182.388981 \nL 146.825218 181.782063 \nL 146.977265 181.154957 \nL 146.897758 180.543194 \nL 146.592943 179.949732 \nL 146.03961 179.381155 \nL 145.227172 178.879078 \nL 144.164435 178.490511 \nL 142.884879 178.264674 \nL 141.504792 178.244829 \nL 140.112984 178.443051 \nL 138.851404 178.837616 \nL 137.789649 179.39108 \nL 136.974468 180.060085 \nL 136.449239 180.764421 \nL 136.174695 181.49233 \nL 136.136999 182.210294 \nL 136.32714 182.92823 \nL 136.74729 183.619656 \nL 137.431013 184.289547 \nL 138.344904 184.870498 \nL 139.521429 185.354527 \nL 140.945016 185.69366 \nL 142.502479 185.836685 \nL 144.121747 185.767775 \nL 145.724433 185.481244 \nL 147.164513 185.009392 \nL 148.446815 184.357833 \nL 149.462466 183.59093 \nL 150.196026 182.754403 \nL 150.65084 181.889982 \nL 150.845028 181.033396 \nL 150.807284 180.21332 \nL 150.550457 179.400964 \nL 150.07496 178.61738 \nL 149.336926 177.83964 \nL 148.372848 177.141972 \nL 147.128907 176.515505 \nL 145.602327 176.005382 \nL 143.90269 175.673838 \nL 142.084654 175.539304 \nL 140.208994 175.614017 \nL 138.340804 175.903355 \nL 136.547462 176.405379 \nL 134.978732 177.068637 \nL 133.664639 177.849633 \nL 132.55814 178.763507 \nL 131.742079 179.725776 \nL 131.201732 180.698617 \nL 130.911346 181.650521 \nL 130.840086 182.626861 \nL 130.996211 183.608954 \nL 131.383708 184.577333 \nL 132.00202 185.512121 \nL 132.845871 186.393423 \nL 133.988724 187.256187 \nL 135.360355 188.012278 \nL 137.047752 188.677365 \nL 138.930307 189.174217 \nL 140.964264 189.483829 \nL 143.100171 189.5917 \nL 145.284103 189.488439 \nL 147.459092 189.170229 \nL 149.566691 188.639143 \nL 151.548642 187.903263 \nL 153.242435 187.03976 \nL 154.732574 186.024577 \nL 155.904493 184.957861 \nL 156.777851 183.881278 \nL 157.424329 182.73925 \nL 157.805975 181.642855 \nL 157.971341 180.521568 \nL 157.913964 179.391123 \nL 157.63048 178.267542 \nL 157.120689 177.166921 \nL 156.38756 176.105232 \nL 155.348479 175.017154 \nL 154.06638 174.012384 \nL 152.557243 173.109217 \nL 150.701022 172.269761 \nL 148.634249 171.587317 \nL 146.391071 171.078913 \nL 144.009682 170.75885 \nL 141.531765 170.638376 \nL 139.00187 170.725406 \nL 136.466751 171.024273 \nL 133.974628 171.535551 \nL 131.574423 172.255908 \nL 129.47064 173.105684 \nL 127.52657 174.120496 \nL 125.779246 175.288408 \nL 124.37134 176.489581 \nL 123.186652 177.794792 \nL 122.31677 179.069233 \nL 121.67009 180.404457 \nL 121.260405 181.785858 \nL 121.103207 183.068608 \nL 121.157865 184.364221 \nL 121.428989 185.65981 \nL 121.919085 186.942106 \nL 122.628445 188.197583 \nL 123.555054 189.412597 \nL 124.819951 190.686129 \nL 126.33318 191.876365 \nL 128.082011 192.965962 \nL 130.050214 193.938359 \nL 132.424386 194.847289 \nL 135.006332 195.579944 \nL 137.761931 196.120202 \nL 140.653252 196.454545 \nL 143.639097 196.572388 \nL 146.675635 196.466374 \nL 149.717091 196.13262 \nL 152.716535 195.570912 \nL 155.626687 194.784843 \nL 158.175915 193.8735 \nL 160.57574 192.788489 \nL 162.792626 191.541129 \nL 164.795087 190.145313 \nL 166.405028 188.761224 \nL 167.794206 187.281646 \nL 168.945318 185.721575 \nL 169.765481 184.261862 \nL 170.371829 182.761964 \nL 170.75721 181.234225 \nL 170.916297 179.691043 \nL 170.845603 178.144722 \nL 170.543455 176.607348 \nL 170.009967 175.090709 \nL 169.246981 173.606282 \nL 168.258033 172.165232 \nL 167.048279 170.778455 \nL 165.453415 169.314196 \nL 163.605853 167.944387 \nL 161.519421 166.682931 \nL 159.210174 165.54326 \nL 156.696322 164.538163 \nL 153.719 163.602242 \nL 150.548315 162.858092 \nL 147.216503 162.318443 \nL 143.758129 161.994038 \nL 140.209796 161.893485 \nL 136.609837 162.023117 \nL 132.997997 162.386904 \nL 129.415115 162.986376 \nL 126.218056 163.735089 \nL 123.110803 164.675219 \nL 120.124901 165.802402 \nL 117.291679 167.110473 \nL 114.641984 168.591438 \nL 112.439058 170.064053 \nL 110.430413 171.660365 \nL 108.636415 173.37077 \nL 107.076409 175.184501 \nL 105.900848 176.873854 \nL 104.936283 178.626372 \nL 104.193517 180.432314 \nL 103.682233 182.281315 \nL 103.410914 184.162428 \nL 103.386715 186.064181 \nL 103.572801 187.735752 \nL 103.955388 189.405705 \nL 104.536412 191.065555 \nL 105.444596 192.939054 \nL 106.612933 194.774941 \nL 108.039343 196.559979 \nL 109.719861 198.280891 \nL 111.648579 199.924471 \nL 113.817622 201.477674 \nL 116.21712 202.927751 \nL 118.835236 204.262326 \nL 121.658171 205.469534 \nL 124.670235 206.538104 \nL 128.262968 207.561419 \nL 132.045217 208.38214 \nL 135.986769 208.987927 \nL 140.05506 209.368032 \nL 144.215428 209.513402 \nL 148.431421 209.416766 \nL 152.665127 209.072662 \nL 156.411765 208.556044 \nL 160.113649 207.839603 \nL 163.742565 206.923042 \nL 167.270206 205.807119 \nL 170.668373 204.493649 \nL 173.909162 202.985551 \nL 176.594181 201.509536 \nL 179.119763 199.89138 \nL 181.468492 198.135907 \nL 183.623627 196.249395 \nL 185.56927 194.240009 \nL 187.290586 192.118353 \nL 188.77408 189.898058 \nL 190.007902 187.596333 \nL 190.859257 185.574541 \nL 191.515175 183.524045 \nL 191.972384 181.4624 \nL 192.229271 179.408571 \nL 192.28599 177.382126 \nL 192.144479 175.402172 \nL 191.808431 173.486118 \nL 191.283083 171.648413 \nL 190.574942 169.89945 \nL 189.691438 168.244856 \nL 188.44958 166.434386 \nL 186.992324 164.746391 \nL 185.331473 163.167941 \nL 183.197432 161.477482 \nL 180.824267 159.885772 \nL 177.881945 158.191767 \nL 174.663513 156.590217 \nL 171.181354 155.086123 \nL 167.449165 153.696986 \nL 163.483336 152.447438 \nL 159.303606 151.363923 \nL 154.933113 150.470845 \nL 150.398037 149.788576 \nL 145.727097 149.332993 \nL 140.951025 149.115906 \nL 136.643459 149.130064 \nL 132.301895 149.343526 \nL 127.950515 149.759034 \nL 123.614038 150.378097 \nL 119.31761 151.201078 \nL 115.086711 152.227242 \nL 110.947073 153.45475 \nL 106.924567 154.880663 \nL 103.045124 156.500914 \nL 99.334606 158.310285 \nL 96.246687 160.043636 \nL 93.324812 161.911888 \nL 90.585757 163.909304 \nL 88.046001 166.029435 \nL 85.721609 168.265102 \nL 83.628168 170.608401 \nL 81.780707 173.050702 \nL 80.403823 175.215817 \nL 79.226781 177.44048 \nL 78.257708 179.717989 \nL 77.504207 182.041266 \nL 76.973315 184.402869 \nL 76.671455 186.794996 \nL 76.604374 189.209512 \nL 76.777092 191.637952 \nL 77.193848 194.07156 \nL 77.858037 196.501298 \nL 78.772179 198.917883 \nL 79.93783 201.31181 \nL 81.355584 203.673391 \nL 83.024992 205.992787 \nL 84.944521 208.260045 \nL 87.11152 210.465163 \nL 89.522195 212.598106 \nL 92.171569 214.648876 \nL 95.053478 216.607537 \nL 98.160538 218.464285 \nL 101.484134 220.209499 \nL 105.014462 221.833749 \nL 108.74048 223.327889 \nL 112.649971 224.683056 \nL 116.729545 225.890711 \nL 120.964665 226.942654 \nL 125.3397 227.831011 \nL 129.837959 228.548205 \nL 134.441733 229.08686 \nL 139.132325 229.439692 \nL 143.890089 229.599268 \nL 148.694442 229.557667 \nL 153.523843 229.305949 \nL 158.355748 228.833374 \nL 163.166455 228.126183 \nL 167.141152 227.344465 \nL 171.0683 226.372588 \nL 174.931361 225.191002 \nL 178.71234 223.773079 \nL 181.664719 222.444474 \nL 184.540467 220.916771 \nL 187.326807 219.158154 \nL 189.349209 217.663538 \nL 191.306225 215.995153 \nL 193.190026 214.127743 \nL 194.991775 212.031397 \nL 196.701403 209.670986 \nL 198.307376 207.005705 \nL 199.79651 203.988853 \nL 201.153641 200.567936 \nL 202.361406 196.685436 \nL 203.399976 192.280468 \nL 204.246855 187.291752 \nL 204.876803 181.662343 \nL 205.261932 175.346587 \nL 205.372077 168.319616 \nL 205.175584 160.589465 \nL 204.640635 152.211252 \nL 204.081033 146.320563 \nL 203.349753 140.245026 \nL 202.440279 134.053356 \nL 201.347968 127.830627 \nL 200.070569 121.677545 \nL 198.608755 115.708372 \nL 196.966609 110.047368 \nL 195.152018 104.823715 \nL 193.176895 100.165106 \nL 192.13397 98.085405 \nL 191.057203 96.190444 \nL 189.949186 94.492467 \nL 188.812719 93.002245 \nL 187.650788 91.728862 \nL 186.466542 90.679577 \nL 185.263266 89.859659 \nL 184.044344 89.272319 \nL 182.813229 88.918626 \nL 181.573411 88.79751 \nL 180.328376 88.905788 \nL 179.081575 89.238222 \nL 177.836388 89.78764 \nL 176.596092 90.54508 \nL 175.363838 91.499971 \nL 174.142607 92.640331 \nL 172.935205 93.952967 \nL 170.572083 97.037804 \nL 168.292616 100.634057 \nL 166.111199 104.617058 \nL 164.038416 108.864539 \nL 161.147134 115.484559 \nL 158.524715 122.111549 \nL 155.438038 130.523234 \nL 146.128884 156.500878 \nL 144.429606 160.386134 \nL 142.948987 163.252423 \nL 141.626459 165.342071 \nL 140.416939 166.858389 \nL 139.287845 167.962664 \nL 138.007368 168.91515 \nL 136.584299 169.701727 \nL 134.641435 170.509799 \nL 128.802066 172.783878 \nL 126.78301 173.867428 \nL 124.972569 175.098871 \nL 123.517154 176.359878 \nL 122.388196 177.609791 \nL 121.474774 178.937213 \nL 120.79362 180.328395 \nL 120.388179 181.635752 \nL 120.195768 182.971169 \nL 120.223563 184.321816 \nL 120.476694 185.674317 \nL 120.958114 187.014867 \nL 121.668477 188.329372 \nL 122.606039 189.603587 \nL 123.766594 190.823266 \nL 125.292656 192.085127 \nL 127.067856 193.245692 \nL 129.076022 194.287434 \nL 131.297387 195.19386 \nL 133.708739 195.949779 \nL 136.524835 196.58681 \nL 139.497195 197.013365 \nL 142.58386 197.217203 \nL 145.73985 197.189357 \nL 148.917875 196.924413 \nL 152.06914 196.420737 \nL 154.89204 195.751219 \nL 157.612904 194.887777 \nL 160.194497 193.83809 \nL 162.600907 192.612713 \nL 164.607874 191.357464 \nL 166.418122 189.979974 \nL 168.00984 188.493865 \nL 169.363491 186.914227 \nL 170.364128 185.426039 \nL 171.147607 183.887797 \nL 171.705277 182.312387 \nL 172.030408 180.712857 \nL 172.118202 179.102206 \nL 171.965788 177.49322 \nL 171.572169 175.898351 \nL 170.938191 174.329657 \nL 170.066462 172.79881 \nL 168.961307 171.317137 \nL 167.62871 169.895684 \nL 166.076265 168.54528 \nL 164.104687 167.141085 \nL 161.887862 165.851986 \nL 159.44289 164.691782 \nL 156.789068 163.673626 \nL 153.947797 162.809805 \nL 150.942445 162.11153 \nL 147.47717 161.546447 \nL 143.879692 161.204927 \nL 140.187957 161.09598 \nL 136.441714 161.226263 \nL 132.68217 161.599981 \nL 129.288493 162.152423 \nL 125.951221 162.906856 \nL 122.703069 163.860862 \nL 119.576808 165.010182 \nL 116.605033 166.348688 \nL 114.089116 167.708513 \nL 111.747338 169.207954 \nL 109.601997 170.838607 \nL 107.674567 172.590837 \nL 105.98552 174.45379 \nL 104.699857 176.192984 \nL 103.630372 178.000923 \nL 102.788671 179.867683 \nL 102.18525 181.782666 \nL 101.829384 183.734656 \nL 101.727343 185.463745 \nL 101.825343 187.203914 \nL 102.126882 188.946654 \nL 102.634516 190.683212 \nL 103.34977 192.404647 \nL 104.273119 194.101845 \nL 105.403934 195.765589 \nL 106.948018 197.614129 \nL 108.756229 199.392963 \nL 110.822007 201.088304 \nL 113.136733 202.686549 \nL 115.689693 204.174412 \nL 118.468098 205.539029 \nL 121.457117 206.768076 \nL 124.639921 207.84988 \nL 127.997768 208.773524 \nL 131.510082 209.528955 \nL 135.154595 210.107062 \nL 138.907465 210.49976 \nL 142.743443 210.700038 \nL 146.636036 210.702004 \nL 150.557706 210.500887 \nL 154.480045 210.093038 \nL 158.37398 209.475888 \nL 162.209971 208.647876 \nL 165.958169 207.608397 \nL 169.588656 206.357719 \nL 173.071578 204.896935 \nL 175.974782 203.447918 \nL 178.722731 201.841489 \nL 181.296166 200.080406 \nL 183.676299 198.168574 \nL 185.844924 196.111539 \nL 187.522189 194.238707 \nL 189.020929 192.271791 \nL 190.331536 190.219849 \nL 191.445361 188.094639 \nL 192.354914 185.911008 \nL 193.054186 183.687133 \nL 193.538902 181.44444 \nL 193.806806 179.207132 \nL 193.857891 177.001225 \nL 193.694524 174.853075 \nL 193.321455 172.787521 \nL 192.745636 170.825815 \nL 191.975874 168.983698 \nL 191.022326 167.269938 \nL 189.895848 165.68566 \nL 188.60734 164.224657 \nL 186.91297 162.659348 \nL 185.026455 161.218924 \nL 182.650151 159.68957 \nL 179.711515 158.074515 \nL 176.132254 156.372487 \nL 172.235638 154.757182 \nL 168.03565 153.248499 \nL 163.550348 151.885508 \nL 159.289447 150.820384 \nL 154.838897 149.93957 \nL 150.224363 149.267651 \nL 145.474496 148.823267 \nL 141.163758 148.630212 \nL 136.793423 148.634237 \nL 132.387257 148.839975 \nL 127.969713 149.250455 \nL 123.565793 149.867363 \nL 119.200951 150.691176 \nL 114.901008 151.721245 \nL 110.692021 152.955788 \nL 106.600218 154.391912 \nL 102.651891 156.025588 \nL 98.873287 157.851618 \nL 95.72674 159.602199 \nL 92.74742 161.490158 \nL 89.952379 163.509744 \nL 87.358365 165.654479 \nL 84.981738 167.917151 \nL 82.838398 170.289813 \nL 80.943643 172.763766 \nL 79.528539 174.957784 \nL 78.315618 177.212927 \nL 77.313193 179.522432 \nL 76.529066 181.87915 \nL 75.970458 184.275557 \nL 75.643982 186.703766 \nL 75.555562 189.155538 \nL 75.710399 191.622313 \nL 76.112898 194.095211 \nL 76.766616 196.565071 \nL 77.674217 199.022468 \nL 78.837418 201.457753 \nL 80.256926 203.861085 \nL 81.932404 206.222462 \nL 83.862409 208.531767 \nL 86.04436 210.778827 \nL 88.474536 212.953404 \nL 91.147991 215.045315 \nL 94.058569 217.044432 \nL 97.198874 218.940748 \nL 100.560253 220.724436 \nL 104.132834 222.385864 \nL 107.905484 223.915676 \nL 111.865863 225.304801 \nL 116.00042 226.544501 \nL 120.29445 227.626354 \nL 124.73211 228.542278 \nL 129.296468 229.284462 \nL 133.969528 229.845321 \nL 138.732313 230.217296 \nL 143.564821 230.392663 \nL 148.446112 230.363123 \nL 153.354223 230.11925 \nL 158.266127 229.649599 \nL 163.157599 228.939402 \nL 167.199697 228.149556 \nL 171.193876 227.16302 \nL 175.123059 225.958316 \nL 178.968557 224.505962 \nL 181.970786 223.138917 \nL 184.894179 221.559904 \nL 187.725187 219.733059 \nL 189.778552 218.172967 \nL 191.763771 216.423648 \nL 193.672383 214.456242 \nL 195.494747 212.236444 \nL 197.219822 209.723831 \nL 198.834885 206.871328 \nL 200.325294 203.624927 \nL 201.674132 199.923904 \nL 202.861914 195.70178 \nL 203.866298 190.888489 \nL 204.661856 185.414214 \nL 205.22001 179.215478 \nL 205.509167 172.244051 \nL 205.495263 164.479075 \nL 205.142787 155.942326 \nL 204.702259 149.85984 \nL 204.085744 143.511955 \nL 203.284433 136.958891 \nL 202.291065 130.279686 \nL 201.100531 123.572583 \nL 199.710481 116.954092 \nL 198.121987 110.556402 \nL 196.340092 104.52287 \nL 194.374265 99.001654 \nL 192.238628 94.137838 \nL 191.112816 91.99473 \nL 189.951935 90.064394 \nL 188.758996 88.360062 \nL 187.537239 86.89312 \nL 186.290112 85.67288 \nL 185.021228 84.706385 \nL 183.734335 83.998298 \nL 182.433271 83.55077 \nL 181.121935 83.363451 \nL 179.804232 83.433472 \nL 178.484042 83.75553 \nL 177.165172 84.321993 \nL 175.851316 85.123081 \nL 174.546033 86.147061 \nL 173.252695 87.380495 \nL 171.974469 88.808483 \nL 170.714297 90.414951 \nL 168.258605 94.094936 \nL 165.903931 98.27926 \nL 163.664203 102.825626 \nL 161.549026 107.598009 \nL 158.620979 114.913193 \nL 155.989093 122.111506 \nL 152.229961 133.186595 \nL 145.003689 154.907967 \nL 142.911087 160.323948 \nL 141.445448 163.551081 \nL 140.159053 165.904711 \nL 139.001427 167.615317 \nL 137.731825 169.072034 \nL 136.553003 170.094605 \nL 135.077319 171.053162 \nL 133.005266 172.073513 \nL 128.834917 174.06391 \nL 126.969463 175.24012 \nL 125.459423 176.459631 \nL 124.282426 177.688022 \nL 123.336687 179.002489 \nL 122.690104 180.269803 \nL 122.268125 181.58285 \nL 122.081823 182.926916 \nL 122.124218 184.162577 \nL 122.372931 185.398709 \nL 122.830405 186.622677 \nL 123.575087 187.939616 \nL 124.570121 189.208959 \nL 125.809598 190.413469 \nL 127.284251 191.536203 \nL 128.981462 192.560752 \nL 131.067983 193.548132 \nL 133.375319 194.381228 \nL 135.874158 195.043017 \nL 138.531238 195.518685 \nL 141.309796 195.79596 \nL 144.170094 195.865417 \nL 147.070024 195.72076 \nL 149.965796 195.359026 \nL 152.812682 194.780759 \nL 155.565765 193.990135 \nL 158.180777 192.994995 \nL 160.41996 191.912869 \nL 162.475748 190.67997 \nL 164.318844 189.310122 \nL 165.787248 187.959382 \nL 167.039713 186.522022 \nL 168.060454 185.012485 \nL 168.83608 183.44603 \nL 169.315548 182.000616 \nL 169.581548 180.533623 \nL 169.62971 179.056801 \nL 169.457408 177.581808 \nL 169.063734 176.120118 \nL 168.449475 174.682964 \nL 167.617062 173.28132 \nL 166.570543 171.925908 \nL 165.16352 170.486854 \nL 163.509061 169.131835 \nL 161.619347 167.874497 \nL 159.508776 166.728005 \nL 156.95181 165.609895 \nL 154.172415 164.656815 \nL 151.198161 163.883099 \nL 148.059191 163.30147 \nL 144.787964 162.922819 \nL 141.41899 162.756039 \nL 137.988542 162.807892 \nL 134.534342 163.0829 \nL 131.095266 163.583258 \nL 127.710994 164.308772 \nL 124.421671 165.256792 \nL 121.547649 166.307428 \nL 118.815421 167.532038 \nL 116.254592 168.923184 \nL 113.894069 170.471676 \nL 111.963986 171.990851 \nL 110.238307 173.619477 \nL 108.735539 175.347276 \nL 107.473008 177.162888 \nL 106.565378 178.840478 \nL 105.870397 180.568294 \nL 105.397194 182.336376 \nL 105.153715 184.134223 \nL 105.146644 185.950831 \nL 105.381284 187.774756 \nL 105.86148 189.594165 \nL 106.589512 191.396913 \nL 107.566037 193.170604 \nL 108.789989 194.902693 \nL 110.258538 196.580547 \nL 111.967043 198.191554 \nL 113.908997 199.72322 \nL 116.076026 201.16326 \nL 118.45787 202.499712 \nL 121.379067 203.865045 \nL 124.536752 205.069045 \nL 127.908089 206.097108 \nL 131.46756 206.935822 \nL 135.187134 207.57314 \nL 139.036499 207.998507 \nL 142.983293 208.202996 \nL 146.993413 208.179388 \nL 151.0313 207.922262 \nL 155.060287 207.428006 \nL 159.042923 206.69485 \nL 162.513508 205.842618 \nL 165.890888 204.802943 \nL 169.14855 203.578286 \nL 172.260351 202.172353 \nL 175.200693 200.590214 \nL 177.944766 198.838518 \nL 180.166093 197.173368 \nL 182.203775 195.392119 \nL 184.043598 193.503652 \nL 185.67245 191.518847 \nL 187.078566 189.450907 \nL 188.251745 187.315577 \nL 189.183645 185.131214 \nL 189.868021 182.918555 \nL 190.300956 180.700131 \nL 190.481039 178.499263 \nL 190.409377 176.33867 \nL 190.089512 174.238841 \nL 189.527132 172.216422 \nL 188.729643 170.282928 \nL 187.705619 168.444084 \nL 186.464188 166.700007 \nL 185.014476 165.04625 \nL 183.365178 163.475528 \nL 181.246098 161.771799 \nL 178.887558 160.15614 \nL 175.960317 158.437839 \nL 172.756337 156.827272 \nL 169.290233 155.336232 \nL 165.578542 153.983144 \nL 161.64042 152.789462 \nL 157.497885 151.776464 \nL 153.175678 150.963136 \nL 148.700966 150.365207 \nL 144.102929 149.995048 \nL 139.412401 149.862017 \nL 134.66157 149.972909 \nL 129.883704 150.332344 \nL 125.641628 150.862722 \nL 121.429665 151.592357 \nL 117.272656 152.520893 \nL 113.195704 153.646903 \nL 109.224078 154.967876 \nL 105.383139 156.480209 \nL 101.698206 158.179181 \nL 98.194478 160.058934 \nL 95.296945 161.846522 \nL 92.573693 163.761721 \nL 90.040875 165.798388 \nL 87.714281 167.949678 \nL 85.609224 170.208032 \nL 83.740489 172.565184 \nL 82.122219 175.01216 \nL 80.944665 177.173743 \nL 79.968951 179.387726 \nL 79.20253 181.647237 \nL 78.652314 183.945063 \nL 78.324621 186.273638 \nL 78.22511 188.625066 \nL 78.358735 190.991142 \nL 78.72969 193.363364 \nL 79.341366 195.732969 \nL 80.196296 198.090943 \nL 81.296106 200.428062 \nL 82.641456 202.73492 \nL 84.232013 205.001975 \nL 86.066408 207.219565 \nL 88.142192 209.377962 \nL 90.455798 211.467427 \nL 93.00253 213.478235 \nL 95.776529 215.400738 \nL 98.770774 217.225395 \nL 101.977061 218.942832 \nL 105.386002 220.54389 \nL 108.987044 222.019655 \nL 112.76848 223.361502 \nL 117.390965 224.746665 \nL 122.219182 225.925643 \nL 127.228883 226.886441 \nL 132.393958 227.617591 \nL 137.686488 228.108049 \nL 142.301991 228.328552 \nL 146.969804 228.357012 \nL 151.669431 228.185679 \nL 156.379479 227.805614 \nL 161.077558 227.205845 \nL 165.740144 226.372117 \nL 169.580598 225.484848 \nL 173.363766 224.406583 \nL 177.073147 223.116879 \nL 180.690742 221.588061 \nL 183.505351 220.168001 \nL 186.237011 218.545904 \nL 188.872831 216.689726 \nL 190.778061 215.11999 \nL 192.614193 213.375263 \nL 194.373383 211.431106 \nL 196.046794 209.25902 \nL 197.624402 206.826088 \nL 199.094842 204.094836 \nL 200.445179 201.023321 \nL 201.660705 197.565686 \nL 202.724775 193.673362 \nL 203.618613 189.297161 \nL 204.321277 184.39062 \nL 204.809697 178.914845 \nL 205.058911 172.845154 \nL 205.042605 166.179584 \nL 204.734027 158.949025 \nL 204.107363 151.228165 \nL 203.139661 143.145774 \nL 202.29606 137.647897 \nL 201.289569 132.144398 \nL 200.118917 126.71889 \nL 198.785248 121.464886 \nL 197.292506 116.48296 \nL 195.647691 111.876836 \nL 193.861016 107.748566 \nL 191.945907 104.193138 \nL 190.945224 102.656613 \nL 189.918824 101.2929 \nL 188.869174 100.10946 \nL 187.798872 99.112362 \nL 186.710632 98.306173 \nL 185.607251 97.693897 \nL 184.491591 97.2769 \nL 183.366552 97.054912 \nL 182.235036 97.026023 \nL 181.099934 97.186734 \nL 179.964091 97.532008 \nL 178.830285 98.055398 \nL 177.701204 98.749122 \nL 176.579414 99.604233 \nL 175.46736 100.610756 \nL 173.281437 103.034051 \nL 171.159711 105.925236 \nL 169.115551 109.185074 \nL 167.159289 112.714053 \nL 164.404993 118.305593 \nL 161.87751 124.003032 \nL 158.861036 131.371065 \nL 149.39886 155.126461 \nL 147.59406 158.822853 \nL 145.997709 161.572337 \nL 144.55246 163.583372 \nL 143.214677 165.038719 \nL 141.952243 166.088341 \nL 140.505007 166.976141 \nL 138.877632 167.684952 \nL 136.623751 168.379459 \nL 129.603304 170.347295 \nL 127.065257 171.366692 \nL 124.888704 172.474089 \nL 122.90683 173.736842 \nL 121.28952 175.021479 \nL 119.88797 176.415981 \nL 118.820073 177.76773 \nL 117.964609 179.18776 \nL 117.335403 180.663625 \nL 116.944448 182.181921 \nL 116.804564 183.572901 \nL 116.871479 184.975807 \nL 117.149348 186.379326 \nL 117.640669 187.771814 \nL 118.346197 189.141391 \nL 119.264876 190.476035 \nL 120.531978 191.903336 \nL 122.051745 193.256189 \nL 123.814407 194.51846 \nL 125.80723 195.674517 \nL 128.014561 196.709428 \nL 130.668221 197.691193 \nL 133.530584 198.492308 \nL 136.56954 199.097589 \nL 139.749626 199.494077 \nL 143.032463 199.671302 \nL 146.37724 199.621527 \nL 149.74129 199.339958 \nL 153.080688 198.824915 \nL 156.350897 198.077978 \nL 159.226348 197.201815 \nL 161.975008 196.144244 \nL 164.564984 194.913838 \nL 166.965797 193.521555 \nL 169.148821 191.980702 \nL 170.905488 190.479721 \nL 172.446945 188.883759 \nL 173.757732 187.206803 \nL 174.824504 185.463811 \nL 175.636159 183.670405 \nL 176.136318 182.046829 \nL 176.423354 180.407177 \nL 176.494133 178.762367 \nL 176.346967 177.122901 \nL 175.981523 175.498743 \nL 175.39877 173.899284 \nL 174.600905 172.333364 \nL 173.591274 170.809373 \nL 172.20789 169.155042 \nL 170.570069 167.575255 \nL 168.687372 166.081222 \nL 166.571007 164.684223 \nL 164.233808 163.395579 \nL 161.690224 162.226526 \nL 158.64155 161.081105 \nL 155.382192 160.110979 \nL 151.938634 159.329121 \nL 148.339404 158.747022 \nL 144.614893 158.374484 \nL 140.797139 158.219516 \nL 136.919605 158.288259 \nL 133.016947 158.584955 \nL 129.124797 159.11191 \nL 125.279523 159.869455 \nL 121.517998 160.855913 \nL 118.234904 161.936416 \nL 115.076774 163.195201 \nL 112.070498 164.626732 \nL 109.242611 166.224071 \nL 106.619123 167.978874 \nL 104.479199 169.663035 \nL 102.537932 171.456134 \nL 100.811782 173.349508 \nL 99.316389 175.333636 \nL 98.066437 177.398151 \nL 97.184794 179.26177 \nL 96.509858 181.170398 \nL 96.0492 183.115604 \nL 95.809535 185.088544 \nL 95.796658 187.079988 \nL 96.015357 189.080343 \nL 96.469368 191.079706 \nL 97.161296 193.067896 \nL 98.092552 195.034495 \nL 99.2633 196.968913 \nL 100.672413 198.860423 \nL 102.317398 200.698237 \nL 104.194392 202.471565 \nL 106.298117 204.169668 \nL 108.621856 205.78194 \nL 111.157451 207.297964 \nL 114.302304 208.899708 \nL 117.694654 210.347897 \nL 121.31549 211.628626 \nL 125.143479 212.728821 \nL 129.15509 213.636331 \nL 133.324707 214.340031 \nL 137.624786 214.829881 \nL 142.02602 215.09695 \nL 146.497532 215.133409 \nL 151.00708 214.932447 \nL 155.52121 214.48812 \nL 159.447783 213.895507 \nL 163.327892 213.109118 \nL 167.137501 212.125522 \nL 170.852147 210.940924 \nL 174.447003 209.550839 \nL 177.896805 207.949738 \nL 180.718827 206.40425 \nL 183.39883 204.693496 \nL 185.919908 202.811484 \nL 188.264745 200.751688 \nL 190.071338 198.894664 \nL 191.732721 196.906339 \nL 193.238218 194.784464 \nL 194.577099 192.528663 \nL 195.738672 190.141454 \nL 196.712542 187.629498 \nL 197.488895 185.004958 \nL 198.058908 182.286861 \nL 198.415256 179.502224 \nL 198.552698 176.686652 \nL 198.468696 173.884099 \nL 198.16403 171.145463 \nL 197.643285 168.525846 \nL 196.915138 166.08053 \nL 195.992313 163.859998 \nL 194.891197 161.904709 \nL 193.894792 160.549369 \nL 192.807278 159.385729 \nL 191.639656 158.411149 \nL 190.083912 157.442743 \nL 188.439562 156.719623 \nL 186.723712 156.196342 \nL 184.226854 155.701054 \nL 180.129796 155.180092 \nL 174.643524 154.437968 \nL 169.670158 153.513336 \nL 154.947538 150.579869 \nL 149.926533 149.905444 \nL 145.272709 149.502952 \nL 140.519804 149.322463 \nL 135.698678 149.380503 \nL 130.842176 149.686772 \nL 126.523213 150.17173 \nL 122.227955 150.858694 \nL 117.981512 151.747893 \nL 113.809282 152.838307 \nL 109.73689 154.127763 \nL 105.790082 155.612946 \nL 101.99461 157.289411 \nL 98.376115 159.15155 \nL 95.375108 160.927939 \nL 92.545899 162.836032 \nL 89.905035 164.869834 \nL 87.468715 167.022634 \nL 85.252706 169.287002 \nL 83.272244 171.654779 \nL 81.541977 174.117089 \nL 80.268602 176.295624 \nL 79.197575 178.530107 \nL 78.336721 180.813704 \nL 77.693321 183.139212 \nL 77.274062 185.499064 \nL 77.084988 187.885357 \nL 77.131458 190.289853 \nL 77.418076 192.70401 \nL 77.948642 195.118999 \nL 78.7261 197.525727 \nL 79.752496 199.914873 \nL 81.028913 202.276916 \nL 82.555425 204.602171 \nL 84.331063 206.880819 \nL 86.35378 209.102961 \nL 88.620395 211.258654 \nL 91.126579 213.337961 \nL 93.866818 215.330998 \nL 96.834422 217.227964 \nL 100.021481 219.019218 \nL 103.418881 220.695313 \nL 107.016308 222.247031 \nL 110.802248 223.665446 \nL 114.764031 224.941923 \nL 118.887838 226.068167 \nL 123.883741 227.181647 \nL 129.054269 228.067719 \nL 133.604384 228.63739 \nL 138.24432 229.024265 \nL 142.95479 229.221097 \nL 147.715603 229.220274 \nL 152.505622 229.013357 \nL 157.302751 228.590373 \nL 162.083793 227.938805 \nL 166.824296 227.042013 \nL 170.724995 226.091032 \nL 174.563247 224.935652 \nL 178.321513 223.551047 \nL 181.25757 222.255903 \nL 184.119041 220.769645 \nL 186.893615 219.062838 \nL 189.567342 217.097871 \nL 191.496885 215.426425 \nL 193.352986 213.558519 \nL 195.126909 211.465091 \nL 196.808736 209.112142 \nL 198.387137 206.460338 \nL 199.84916 203.464847 \nL 201.17998 200.07554 \nL 202.362638 196.237803 \nL 203.37785 191.894238 \nL 204.203817 186.987602 \nL 204.816164 181.4654 \nL 205.188067 175.286555 \nL 205.290635 168.430393 \nL 205.093696 160.908002 \nL 204.567078 152.775356 \nL 203.682563 144.146838 \nL 202.8821 138.206902 \nL 201.906692 132.200206 \nL 200.753143 126.214981 \nL 199.42079 120.353061 \nL 197.911968 114.727234 \nL 196.232414 109.457251 \nL 194.391564 104.664469 \nL 192.402659 100.465523 \nL 191.357846 98.622204 \nL 190.282653 96.965438 \nL 189.179726 95.505417 \nL 188.051884 94.250795 \nL 186.902106 93.208528 \nL 185.733496 92.383753 \nL 184.549255 91.779691 \nL 183.352653 91.397597 \nL 182.147001 91.236739 \nL 180.935608 91.294406 \nL 179.721755 91.565991 \nL 178.508662 92.045069 \nL 177.299463 92.72353 \nL 176.097171 93.591737 \nL 174.904655 94.638693 \nL 173.724617 95.852259 \nL 171.411844 98.726185 \nL 169.176523 102.101458 \nL 167.032841 105.861206 \nL 164.991407 109.889975 \nL 162.135716 116.20212 \nL 159.536411 122.556332 \nL 156.464223 130.668874 \nL 147.091788 156.053669 \nL 145.359029 159.895736 \nL 143.842676 162.736987 \nL 142.482902 164.810277 \nL 141.234889 166.313446 \nL 140.066074 167.404975 \nL 138.736176 168.341096 \nL 137.252783 169.106731 \nL 135.218321 169.882946 \nL 129.03191 172.068915 \nL 126.860518 173.134068 \nL 125.035266 174.258955 \nL 123.412502 175.514169 \nL 122.127217 176.769237 \nL 121.056475 178.112145 \nL 120.218858 179.529308 \nL 119.673535 180.869422 \nL 119.345011 182.246231 \nL 119.241956 183.646744 \nL 119.371005 185.05733 \nL 119.736596 186.463834 \nL 120.34084 187.851709 \nL 121.183404 189.206161 \nL 122.26142 190.512296 \nL 123.569412 191.755288 \nL 125.099258 192.920544 \nL 127.025399 194.095631 \nL 129.1889 195.141477 \nL 131.568036 196.041198 \nL 134.137528 196.779362 \nL 136.868783 197.342251 \nL 139.730214 197.718136 \nL 142.687614 197.897503 \nL 145.704584 197.873283 \nL 148.743029 197.641041 \nL 151.763693 197.199121 \nL 154.72674 196.54878 \nL 157.592337 195.694268 \nL 160.321293 194.642887 \nL 162.875668 193.404984 \nL 165.01592 192.128936 \nL 166.956683 190.721837 \nL 168.67463 189.19763 \nL 170.148772 187.571901 \nL 171.251807 186.035945 \nL 172.13102 184.444594 \nL 172.776939 182.811402 \nL 173.182119 181.150129 \nL 173.341149 179.47449 \nL 173.273087 177.983861 \nL 173.006775 176.501701 \nL 172.470441 174.855439 \nL 171.685376 173.243289 \nL 170.655321 171.676974 \nL 169.385745 170.167859 \nL 167.883767 168.727067 \nL 166.15813 167.365547 \nL 163.991068 165.958837 \nL 161.577114 164.67783 \nL 158.935018 163.536562 \nL 156.085767 162.548351 \nL 153.052453 161.725547 \nL 149.860151 161.07929 \nL 146.53575 160.61932 \nL 143.107767 160.353851 \nL 139.606141 160.289467 \nL 136.062046 160.431059 \nL 132.507664 160.781777 \nL 128.975997 161.34297 \nL 125.500596 162.114159 \nL 122.115382 163.092991 \nL 118.854368 164.275211 \nL 115.75142 165.654636 \nL 113.121561 167.05804 \nL 110.67072 168.607315 \nL 108.422161 170.293875 \nL 106.398305 172.107844 \nL 104.805299 173.818242 \nL 103.420999 175.611864 \nL 102.258769 177.479295 \nL 101.330955 179.410379 \nL 100.648801 181.394264 \nL 100.261332 183.164431 \nL 100.075477 184.958099 \nL 100.096221 186.766823 \nL 100.327648 188.581852 \nL 100.772848 190.394165 \nL 101.433883 192.194508 \nL 102.311736 193.97344 \nL 103.406248 195.721379 \nL 104.716089 197.428649 \nL 106.238719 199.085533 \nL 108.234511 200.904979 \nL 110.495567 202.631596 \nL 113.012028 204.251278 \nL 115.771847 205.750281 \nL 118.760807 207.11535 \nL 121.962557 208.333831 \nL 125.358671 209.3938 \nL 128.928749 210.28415 \nL 132.650506 210.994713 \nL 136.499931 211.516314 \nL 140.451414 211.840861 \nL 144.47792 211.961367 \nL 148.551191 211.871964 \nL 152.641903 211.567895 \nL 156.719895 211.045449 \nL 160.754335 210.301864 \nL 164.713927 209.335206 \nL 168.567078 208.144212 \nL 171.826309 206.91748 \nL 174.958461 205.518199 \nL 177.942315 203.946392 \nL 180.756761 202.202426 \nL 183.380907 200.28727 \nL 185.463065 198.510949 \nL 187.377519 196.612635 \nL 189.111874 194.596127 \nL 190.654205 192.467355 \nL 191.993278 190.235161 \nL 193.118791 187.912116 \nL 194.021734 185.515324 \nL 194.694776 183.066989 \nL 195.132719 180.594581 \nL 195.33294 178.130346 \nL 195.295798 175.710007 \nL 195.024892 173.370557 \nL 194.527152 171.147313 \nL 193.812606 169.070517 \nL 192.893889 167.162096 \nL 191.785457 165.433175 \nL 190.502604 163.882936 \nL 189.060422 162.499138 \nL 187.472815 161.260283 \nL 185.452635 159.961484 \nL 182.940199 158.613906 \nL 179.515315 157.047354 \nL 175.008326 155.246236 \nL 170.081132 153.508533 \nL 165.208774 152.020069 \nL 160.502566 150.81669 \nL 156.062479 149.902537 \nL 151.452609 149.182728 \nL 146.700085 148.682082 \nL 141.834986 148.418125 \nL 137.441966 148.391861 \nL 133.00915 148.567521 \nL 128.560995 148.948681 \nL 124.122564 149.537364 \nL 119.719396 150.334312 \nL 115.377405 151.339071 \nL 111.122781 152.550053 \nL 106.981899 153.964533 \nL 102.981217 155.578648 \nL 99.147165 157.387363 \nL 95.949734 159.124766 \nL 92.917472 161.001494 \nL 90.067608 163.011902 \nL 87.417094 165.149618 \nL 84.982454 167.407512 \nL 82.779804 169.777731 \nL 80.82468 172.251662 \nL 79.357182 174.447648 \nL 78.091428 176.706639 \nL 77.035925 179.021915 \nL 76.198638 181.386359 \nL 75.586988 183.792475 \nL 75.207791 186.232401 \nL 75.06717 188.697914 \nL 75.170544 191.180455 \nL 75.522547 193.671149 \nL 76.126962 196.160819 \nL 76.986686 198.640026 \nL 78.103665 201.099096 \nL 79.478852 203.528143 \nL 81.112141 205.91711 \nL 83.002336 208.255827 \nL 85.147099 210.534034 \nL 87.542942 212.741424 \nL 90.185145 214.86771 \nL 93.067763 216.902667 \nL 96.183624 218.836166 \nL 99.524283 220.658246 \nL 103.080046 222.359146 \nL 106.839964 223.929358 \nL 110.79184 225.359673 \nL 114.922281 226.641178 \nL 119.216695 227.765311 \nL 123.659323 228.723835 \nL 128.233321 229.508796 \nL 132.920765 230.112455 \nL 137.702685 230.527159 \nL 142.559125 230.745086 \nL 147.469125 230.757908 \nL 152.41071 230.556228 \nL 157.360848 230.12871 \nL 162.295266 229.460841 \nL 166.376772 228.706701 \nL 170.413639 227.756639 \nL 174.388821 226.589632 \nL 178.283699 225.17682 \nL 181.327918 223.843232 \nL 184.295594 222.299765 \nL 187.173273 220.511011 \nL 189.263276 218.981406 \nL 191.286602 217.264361 \nL 193.234859 215.331055 \nL 195.098462 213.147081 \nL 196.866433 210.671698 \nL 198.526129 207.857191 \nL 200.06292 204.648446 \nL 201.45989 200.982989 \nL 202.697477 196.791742 \nL 203.42301 193.669151 \nL 204.060304 190.257787 \nL 204.601246 186.535772 \nL 205.037041 182.482617 \nL 205.358252 178.080474 \nL 205.554821 173.315648 \nL 205.616174 168.180469 \nL 205.531356 162.67546 \nL 205.28923 156.81178 \nL 204.878774 150.613801 \nL 204.289414 144.121702 \nL 203.511521 137.3938 \nL 202.536909 130.508301 \nL 201.359496 123.564095 \nL 199.975974 116.680164 \nL 198.386493 109.993272 \nL 196.595297 103.653562 \nL 194.611241 97.81814 \nL 192.448118 92.642749 \nL 191.30508 90.348513 \nL 190.12469 88.272189 \nL 188.910019 86.428519 \nL 187.664399 84.830353 \nL 186.391381 83.488379 \nL 185.094715 82.410922 \nL 183.778304 81.603779 \nL 182.446164 81.070069 \nL 181.102381 80.810226 \nL 179.751073 80.821957 \nL 178.396331 81.100316 \nL 177.042186 81.637812 \nL 175.69256 82.424606 \nL 174.35123 83.448683 \nL 173.021794 84.696138 \nL 171.707631 86.151418 \nL 170.411881 87.797671 \nL 167.886856 91.59085 \nL 165.466346 95.926022 \nL 163.165308 100.651672 \nL 160.994083 105.622533 \nL 157.992743 113.252877 \nL 155.30085 120.766122 \nL 152.173916 130.138034 \nL 143.084485 157.963281 \nL 141.494426 161.978458 \nL 140.129771 164.920453 \nL 138.927851 167.060756 \nL 137.636901 168.876581 \nL 136.46051 170.137057 \nL 135.186854 171.168905 \nL 133.657375 172.1097 \nL 127.2808 175.681498 \nL 125.87074 176.87922 \nL 124.782845 178.07917 \nL 123.921611 179.358184 \nL 123.347251 180.587333 \nL 122.991399 181.857188 \nL 122.864131 183.153446 \nL 122.973037 184.460937 \nL 123.323012 185.763839 \nL 123.916083 187.045866 \nL 124.751262 188.290478 \nL 125.824441 189.481076 \nL 127.12832 190.601245 \nL 128.801402 191.724106 \nL 130.718463 192.724177 \nL 132.857106 193.582809 \nL 135.190731 194.282988 \nL 137.688835 194.809689 \nL 140.317394 195.150206 \nL 143.039349 195.294457 \nL 145.815146 195.235254 \nL 148.603365 194.968534 \nL 151.361413 194.493529 \nL 154.046234 193.812902 \nL 156.615074 192.932803 \nL 159.026259 191.862873 \nL 161.063941 190.726422 \nL 162.906821 189.453831 \nL 164.528339 188.059654 \nL 165.790194 186.70051 \nL 166.833519 185.267926 \nL 167.644752 183.776241 \nL 168.212708 182.240402 \nL 168.508606 180.833044 \nL 168.595749 179.413579 \nL 168.471197 177.99324 \nL 168.133671 176.583132 \nL 167.58353 175.194184 \nL 166.822742 173.837105 \nL 165.734715 172.379358 \nL 164.39811 170.987935 \nL 162.822287 169.67651 \nL 161.018815 168.458362 \nL 159.001414 167.34628 \nL 156.554079 166.260034 \nL 153.890775 165.332071 \nL 151.037963 164.57627 \nL 148.024592 164.004962 \nL 144.881865 163.628732 \nL 141.64299 163.456244 \nL 138.342888 163.494117 \nL 135.017911 163.746815 \nL 131.705529 164.216557 \nL 128.443999 164.903257 \nL 125.27204 165.80445 \nL 122.228465 166.915261 \nL 119.605442 168.100868 \nL 117.148908 169.446406 \nL 114.886658 170.942903 \nL 112.84553 172.579712 \nL 111.218755 174.162665 \nL 109.809441 175.839222 \nL 108.634022 177.598253 \nL 107.797796 179.221297 \nL 107.167895 180.890802 \nL 106.752855 182.597077 \nL 106.560057 184.329919 \nL 106.59563 186.078658 \nL 106.864374 187.832216 \nL 107.369656 189.579162 \nL 108.113326 191.307778 \nL 109.095668 193.006138 \nL 110.315293 194.662177 \nL 111.769135 196.26378 \nL 113.45236 197.798874 \nL 115.358362 199.255516 \nL 117.478737 200.621998 \nL 120.107659 202.037353 \nL 122.977782 203.30864 \nL 126.069161 204.421166 \nL 129.35919 205.361276 \nL 132.822752 206.116511 \nL 136.432399 206.675764 \nL 140.158575 207.029411 \nL 143.969854 207.16944 \nL 147.833227 207.089534 \nL 151.714413 206.785138 \nL 155.578156 206.25352 \nL 159.388603 205.493806 \nL 163.109611 204.507 \nL 166.312932 203.441518 \nL 169.392052 202.202289 \nL 172.322403 200.794029 \nL 175.080097 199.222928 \nL 177.64217 197.496848 \nL 179.986826 195.625602 \nL 181.843991 193.878637 \nL 183.506504 192.039546 \nL 184.962982 190.119865 \nL 186.203435 188.133023 \nL 187.21945 186.094338 \nL 188.004375 184.020854 \nL 188.553508 181.930938 \nL 188.864194 179.843605 \nL 188.935875 177.777599 \nL 188.770022 175.750298 \nL 188.369986 173.776612 \nL 187.740674 171.868044 \nL 186.888219 170.032119 \nL 185.819521 168.272343 \nL 184.541864 166.588749 \nL 183.062559 164.978931 \nL 181.134132 163.224992 \nL 178.961812 161.558269 \nL 176.555448 159.976951 \nL 173.580837 158.303046 \nL 170.337358 156.7499 \nL 166.841457 155.332672 \nL 163.111784 154.069618 \nL 159.16948 152.979621 \nL 155.038165 152.080278 \nL 150.743749 151.386809 \nL 146.314104 150.91168 \nL 141.778795 150.66469 \nL 137.168749 150.653256 \nL 132.516067 150.882692 \nL 127.853782 151.356445 \nL 123.215718 152.076214 \nL 119.14114 152.922587 \nL 115.137382 153.962273 \nL 111.229118 155.193114 \nL 107.441119 156.611888 \nL 103.798145 158.214278 \nL 100.324854 159.994861 \nL 97.045675 161.947087 \nL 94.354557 163.79006 \nL 91.846306 165.75268 \nL 89.53639 167.828375 \nL 87.43983 170.009879 \nL 85.571111 172.289234 \nL 83.944117 174.65779 \nL 82.751961 176.751933 \nL 81.75493 178.898504 \nL 80.960374 181.090882 \nL 80.375119 183.322092 \nL 80.005415 185.584831 \nL 79.856882 187.871475 \nL 79.934462 190.17409 \nL 80.24238 192.48446 \nL 80.784075 194.794101 \nL 81.562157 197.094296 \nL 82.578374 199.376114 \nL 83.833536 201.630448 \nL 85.32752 203.848038 \nL 87.059177 206.019523 \nL 89.026318 208.135483 \nL 91.225716 210.186439 \nL 93.653025 212.162952 \nL 96.302781 214.055638 \nL 99.168391 215.855225 \nL 102.242143 217.552573 \nL 105.515168 219.138755 \nL 109.572146 220.837228 \nL 113.868907 222.35925 \nL 118.385624 223.692084 \nL 123.100519 224.823607 \nL 127.989931 225.742315 \nL 133.028398 226.437274 \nL 138.188767 226.897983 \nL 143.442267 227.114122 \nL 147.996428 227.09671 \nL 152.576764 226.884604 \nL 157.162424 226.469531 \nL 161.73168 225.841395 \nL 166.261742 224.987196 \nL 170.728561 223.889413 \nL 174.384108 222.77126 \nL 177.961916 221.448042 \nL 181.444555 219.893974 \nL 184.149249 218.461615 \nL 186.769748 216.836618 \nL 189.293787 214.990115 \nL 191.707485 212.886073 \nL 193.435869 211.112598 \nL 195.085697 209.147069 \nL 196.64846 206.963817 \nL 198.114565 204.533695 \nL 199.473233 201.82415 \nL 200.712309 198.799558 \nL 201.818127 195.422 \nL 202.775391 191.652635 \nL 203.567117 187.453877 \nL 204.174615 182.792555 \nL 204.577649 177.644293 \nL 204.754748 171.999177 \nL 204.683769 165.868643 \nL 204.342789 159.293251 \nL 203.711317 152.350539 \nL 202.772004 145.161733 \nL 201.512584 137.895425 \nL 200.492332 133.112434 \nL 199.32826 128.463015 \nL 198.023361 124.026182 \nL 196.583025 119.883789 \nL 195.015136 116.11714 \nL 193.330125 112.803172 \nL 191.540844 110.010408 \nL 189.662335 107.795103 \nL 188.694827 106.917381 \nL 187.71145 106.197882 \nL 186.714512 105.638841 \nL 185.706373 105.241245 \nL 184.689413 105.004846 \nL 183.666027 104.928175 \nL 182.638594 105.008548 \nL 181.609464 105.242124 \nL 180.580935 105.623967 \nL 179.555235 106.148143 \nL 178.534506 106.80779 \nL 176.51603 108.5022 \nL 174.540435 110.638445 \nL 172.620522 113.14074 \nL 170.766781 115.930218 \nL 168.987312 118.928535 \nL 166.469371 123.655781 \nL 163.408046 130.047875 \nL 159.440528 139.036316 \nL 154.707492 149.810601 \nL 152.569027 154.215327 \nL 150.68582 157.606061 \nL 148.993541 160.146946 \nL 147.439868 162.010477 \nL 145.984128 163.354878 \nL 144.595849 164.314505 \nL 142.98837 165.109237 \nL 141.162172 165.720153 \nL 138.603045 166.2864 \nL 130.89752 167.810002 \nL 128.056154 168.651151 \nL 125.348117 169.684577 \nL 123.017157 170.800624 \nL 120.862769 172.071506 \nL 118.914908 173.487263 \nL 117.347445 174.889547 \nL 115.994563 176.390292 \nL 114.875048 177.977199 \nL 114.081168 179.467909 \nL 113.50129 181.006762 \nL 113.145117 182.582372 \nL 113.0208 184.182709 \nL 113.134806 185.79519 \nL 113.491804 187.406748 \nL 114.094533 189.003932 \nL 114.943713 190.573017 \nL 116.03795 192.100103 \nL 117.373666 193.571244 \nL 118.945045 194.972576 \nL 120.744002 196.290446 \nL 122.760176 197.511555 \nL 125.239707 198.739299 \nL 127.951264 199.815146 \nL 130.871092 200.72366 \nL 133.972365 201.450841 \nL 137.225435 201.984336 \nL 140.598103 202.313643 \nL 144.055965 202.430296 \nL 147.562781 202.328038 \nL 151.080894 202.002938 \nL 154.571693 201.453523 \nL 157.996086 200.680889 \nL 161.314989 199.688775 \nL 164.179928 198.613516 \nL 166.900792 197.372382 \nL 169.451214 195.973976 \nL 171.806128 194.428872 \nL 173.942127 192.74966 \nL 175.837747 190.950937 \nL 177.305373 189.265075 \nL 178.556062 187.510622 \nL 179.57971 185.701278 \nL 180.368057 183.851391 \nL 180.914718 181.975576 \nL 181.215233 180.088313 \nL 181.267015 178.203475 \nL 181.069257 176.333926 \nL 180.622813 174.491221 \nL 179.930002 172.685474 \nL 178.994459 170.92544 \nL 177.820943 169.218789 \nL 176.415229 167.572514 \nL 174.784025 165.993405 \nL 172.934947 164.488473 \nL 170.604993 162.893449 \nL 168.023811 161.413389 \nL 165.206748 160.060651 \nL 162.17091 158.84795 \nL 158.935181 157.787821 \nL 155.520175 156.892121 \nL 151.948139 156.17163 \nL 148.242836 155.635819 \nL 144.429366 155.29272 \nL 140.534036 155.148898 \nL 136.584185 155.209453 \nL 132.608027 155.478037 \nL 128.634538 155.956862 \nL 124.693275 156.646698 \nL 120.814233 157.546866 \nL 117.027708 158.655206 \nL 113.364127 159.968065 \nL 109.853867 161.480259 \nL 106.886754 162.986368 \nL 104.085564 164.638913 \nL 101.470851 166.431135 \nL 99.062696 168.35528 \nL 96.88055 170.402596 \nL 95.171302 172.287397 \nL 93.66141 174.251902 \nL 92.362261 176.288389 \nL 91.284561 178.388577 \nL 90.438259 180.543644 \nL 89.832472 182.744237 \nL 89.475384 184.980503 \nL 89.372729 186.917879 \nL 89.461977 188.867121 \nL 89.74638 190.821244 \nL 90.228532 192.773068 \nL 90.910322 194.715232 \nL 91.792901 196.64022 \nL 92.876637 198.540392 \nL 94.394627 200.715564 \nL 96.183692 202.834016 \nL 98.240125 204.883295 \nL 100.558583 206.850964 \nL 103.132049 208.724682 \nL 105.951813 210.492292 \nL 109.007467 212.141895 \nL 112.286901 213.661937 \nL 115.776347 215.041267 \nL 119.46039 216.269229 \nL 123.322008 217.335735 \nL 127.342667 218.231292 \nL 131.502381 218.947036 \nL 135.779798 219.474759 \nL 140.152297 219.806855 \nL 144.596068 219.936285 \nL 149.086237 219.856414 \nL 153.596936 219.560795 \nL 158.101372 219.042848 \nL 162.571862 218.295355 \nL 166.97982 217.309787 \nL 170.685899 216.267422 \nL 174.305003 215.033439 \nL 177.817055 213.596362 \nL 181.200983 211.941145 \nL 183.906962 210.381148 \nL 186.494666 208.641776 \nL 188.949291 206.705539 \nL 191.25485 204.551549 \nL 192.980314 202.655357 \nL 194.589554 200.590478 \nL 196.07212 198.342233 \nL 197.416739 195.895731 \nL 198.611336 193.236875 \nL 199.64303 190.353783 \nL 200.4983 187.238733 \nL 201.163173 183.890624 \nL 201.623633 180.317922 \nL 201.866154 176.541899 \nL 201.878452 172.599823 \nL 201.650421 168.547557 \nL 201.175239 164.460847 \nL 200.450574 160.434516 \nL 199.479714 156.578795 \nL 198.595656 153.870366 \nL 197.585265 151.37493 \nL 196.457541 149.13951 \nL 195.223608 147.205072 \nL 193.89644 145.603757 \nL 192.490461 144.35659 \nL 191.021051 143.471944 \nL 190.013988 143.081713 \nL 188.990378 142.84605 \nL 187.433766 142.766381 \nL 185.864397 142.98569 \nL 184.295174 143.463163 \nL 182.737183 144.152429 \nL 180.692654 145.316253 \nL 178.210345 147.004556 \nL 170.908528 152.205054 \nL 168.800671 153.388982 \nL 166.747795 154.299921 \nL 164.731516 154.950282 \nL 162.734776 155.369686 \nL 160.343914 155.622802 \nL 157.536986 155.663587 \nL 153.868332 155.474915 \nL 142.778139 154.770483 \nL 138.350373 154.763967 \nL 133.877234 154.989024 \nL 129.843474 155.406087 \nL 125.83225 156.033172 \nL 121.873514 156.872347 \nL 117.99774 157.922893 \nL 114.235671 159.18202 \nL 110.618105 160.645183 \nL 107.54861 162.112092 \nL 104.638853 163.729919 \nL 101.909836 165.492237 \nL 99.382127 167.391606 \nL 97.07573 169.419576 \nL 95.254369 171.292125 \nL 93.629651 173.248931 \nL 92.213419 175.282436 \nL 91.016871 177.38451 \nL 90.050485 179.546461 \nL 89.323916 181.759055 \nL 88.845942 184.012528 \nL 88.640037 185.968851 \nL 88.626794 187.940949 \nL 88.809872 189.921856 \nL 89.192288 191.904387 \nL 89.776364 193.881164 \nL 90.563692 195.84464 \nL 91.55508 197.787121 \nL 92.750555 199.700798 \nL 94.402088 201.886475 \nL 96.327503 204.00956 \nL 98.522392 206.057394 \nL 100.980675 208.017364 \nL 103.694539 209.876999 \nL 106.654469 211.62402 \nL 109.849197 213.246464 \nL 113.265749 214.732728 \nL 116.889452 216.071665 \nL 120.703968 217.252661 \nL 124.691385 218.265662 \nL 128.832243 219.10125 \nL 133.105653 219.750639 \nL 137.489345 220.205686 \nL 141.959789 220.458841 \nL 146.492307 220.503005 \nL 151.06115 220.331375 \nL 155.639556 219.937123 \nL 160.199814 219.312972 \nL 164.713275 218.450533 \nL 168.522264 217.513842 \nL 172.255726 216.386108 \nL 175.89356 215.056433 \nL 179.414699 213.510464 \nL 182.243779 212.043424 \nL 184.962594 210.399094 \nL 187.556436 208.560071 \nL 190.009363 206.505089 \nL 191.858609 204.688665 \nL 193.596846 202.702888 \nL 195.213546 200.531303 \nL 196.69725 198.156363 \nL 198.035554 195.560208 \nL 199.215032 192.725863 \nL 200.221321 189.639005 \nL 201.039245 186.29036 \nL 201.653095 182.678789 \nL 202.047111 178.814955 \nL 202.20613 174.725351 \nL 202.116536 170.456217 \nL 201.767431 166.076597 \nL 201.151959 161.679541 \nL 200.268798 157.380507 \nL 199.433801 154.29983 \nL 198.456407 151.407817 \nL 197.344483 148.763083 \nL 196.108522 146.420172 \nL 194.761485 144.42594 \nL 193.318446 142.816178 \nL 192.311282 141.968102 \nL 191.274066 141.303756 \nL 190.212126 140.822708 \nL 189.130796 140.521385 \nL 188.035323 140.393203 \nL 186.930772 140.428827 \nL 185.267348 140.763103 \nL 183.608965 141.391312 \nL 181.968228 142.259115 \nL 179.825279 143.689764 \nL 177.241293 145.731439 \nL 169.772292 151.926685 \nL 167.653723 153.336606 \nL 165.604842 154.431927 \nL 163.604524 155.230259 \nL 161.633385 155.767454 \nL 159.674808 156.088316 \nL 157.32246 156.253865 \nL 154.155815 156.226066 \nL 148.0616 155.868801 \nL 142.177585 155.62563 \nL 137.887057 155.657865 \nL 133.558391 155.912558 \nL 129.659886 156.348821 \nL 125.787992 156.988022 \nL 121.971787 157.832109 \nL 118.240841 158.88021 \nL 114.62497 160.129391 \nL 111.153996 161.574976 \nL 107.857573 163.210677 \nL 105.097632 164.817915 \nL 102.518933 166.562612 \nL 100.141191 168.437224 \nL 97.983522 170.433232 \nL 96.06431 172.541136 \nL 94.594399 174.46914 \nL 93.331584 176.467211 \nL 92.286294 178.527193 \nL 91.468211 180.640406 \nL 90.886189 182.797651 \nL 90.548162 184.98925 \nL 90.461083 187.205057 \nL 90.63082 189.434501 \nL 90.984317 191.348017 \nL 91.532223 193.256412 \nL 92.276084 195.15242 \nL 93.392623 197.338893 \nL 94.776911 199.48648 \nL 96.427422 201.583099 \nL 98.341102 203.616588 \nL 100.513309 205.574775 \nL 102.937777 207.445567 \nL 105.606603 209.217017 \nL 108.510227 210.877402 \nL 111.63744 212.415304 \nL 114.975384 213.819695 \nL 118.5096 215.079996 \nL 122.22406 216.186155 \nL 126.101224 217.128695 \nL 130.122119 217.898766 \nL 134.266401 218.488164 \nL 138.512465 218.88932 \nL 142.837546 219.095269 \nL 147.217791 219.099564 \nL 151.628375 218.896117 \nL 156.043562 218.478969 \nL 160.436797 217.841931 \nL 164.780708 216.978091 \nL 169.04709 215.879126 \nL 172.620213 214.742031 \nL 176.09597 213.41572 \nL 179.454613 211.888921 \nL 182.675449 210.147039 \nL 185.238426 208.5178 \nL 187.676988 206.712889 \nL 189.976731 204.716381 \nL 192.122149 202.50982 \nL 193.716147 200.579509 \nL 195.191446 198.490329 \nL 196.538196 196.230985 \nL 197.745952 193.790891 \nL 198.803673 191.161248 \nL 199.699834 188.33648 \nL 200.422612 185.316046 \nL 200.960179 182.106584 \nL 201.301096 178.724271 \nL 201.434878 175.197173 \nL 201.352681 171.56723 \nL 201.048131 167.891414 \nL 200.518217 164.241519 \nL 199.764173 160.702059 \nL 198.792248 157.365942 \nL 197.927182 155.05449 \nL 196.953108 152.948961 \nL 195.878773 151.083328 \nL 194.714473 149.485392 \nL 193.471751 148.174981 \nL 192.163045 147.162609 \nL 190.801286 146.448785 \nL 189.399427 146.023996 \nL 187.970009 145.869425 \nL 186.52473 145.958273 \nL 185.074106 146.257585 \nL 183.147049 146.919732 \nL 180.772548 148.040471 \nL 177.097293 150.112884 \nL 173.16476 152.268972 \nL 170.643101 153.386281 \nL 168.583646 154.077685 \nL 166.546488 154.554018 \nL 164.111467 154.871194 \nL 161.667002 154.9612 \nL 158.365253 154.831043 \nL 152.843127 154.322609 \nL 146.203195 153.754819 \nL 141.639136 153.570808 \nL 136.999333 153.612051 \nL 132.789072 153.865739 \nL 128.57645 154.335527 \nL 124.39202 155.026028 \nL 120.267122 155.938345 \nL 116.233576 157.071165 \nL 112.323431 158.421233 \nL 108.977286 159.799681 \nL 105.776446 161.341248 \nL 102.743156 163.040278 \nL 99.899322 164.890068 \nL 97.266429 166.882865 \nL 94.865372 169.009856 \nL 92.970517 170.973322 \nL 91.281618 173.024711 \nL 89.811084 175.156138 \nL 88.570657 177.359107 \nL 87.571315 179.624531 \nL 86.823214 181.942751 \nL 86.388964 183.964088 \nL 86.151296 186.009976 \nL 86.114821 188.073402 \nL 86.283525 190.147102 \nL 86.660695 192.223574 \nL 87.248916 194.295111 \nL 88.050002 196.353809 \nL 89.064963 198.391612 \nL 90.293974 200.400331 \nL 91.736349 202.371669 \nL 93.390487 204.29727 \nL 95.253868 206.16874 \nL 97.687587 208.272518 \nL 100.394139 210.277988 \nL 103.364543 212.172062 \nL 106.587928 213.941955 \nL 110.051625 215.575195 \nL 113.741137 217.059743 \nL 117.640186 218.384062 \nL 121.730762 219.537176 \nL 125.993173 220.508738 \nL 130.406158 221.289017 \nL 134.946933 221.868921 \nL 139.591301 222.239951 \nL 144.313775 222.394025 \nL 149.087612 222.32332 \nL 153.884933 222.01988 \nL 158.67675 221.475097 \nL 162.756828 220.808478 \nL 166.791057 219.949376 \nL 170.758995 218.887813 \nL 174.639256 217.610632 \nL 177.789603 216.369049 \nL 180.849581 214.952173 \nL 183.804374 213.342774 \nL 186.637962 211.518876 \nL 188.805821 209.886887 \nL 190.875012 208.082697 \nL 192.834718 206.085993 \nL 194.67298 203.873299 \nL 196.376537 201.41809 \nL 197.930631 198.691272 \nL 199.318893 195.662234 \nL 200.240429 193.173818 \nL 201.050239 190.486531 \nL 201.739524 187.590534 \nL 202.299024 184.479112 \nL 202.71916 181.150134 \nL 202.990208 177.607741 \nL 203.10255 173.864196 \nL 203.047026 169.941783 \nL 202.815365 165.874565 \nL 202.400685 161.709717 \nL 201.798109 157.508159 \nL 201.005365 153.344094 \nL 200.023429 149.303208 \nL 198.857055 145.47927 \nL 197.515199 141.969179 \nL 196.011176 138.866692 \nL 194.926914 137.066745 \nL 193.784477 135.506299 \nL 192.590694 134.201961 \nL 191.352926 133.165441 \nL 190.078925 132.403068 \nL 188.776667 131.915538 \nL 187.454178 131.697896 \nL 186.119363 131.739782 \nL 184.779836 132.025908 \nL 183.442764 132.536708 \nL 182.114753 133.249167 \nL 180.152464 134.639572 \nL 178.240443 136.333693 \nL 175.790559 138.90402 \nL 172.912366 142.331215 \nL 165.953742 150.894984 \nL 163.797952 153.142773 \nL 161.765719 154.914039 \nL 160.207511 156.013807 \nL 158.693369 156.864667 \nL 156.843284 157.631801 \nL 155.021412 158.134356 \nL 152.850198 158.478922 \nL 150.313917 158.644649 \nL 146.282736 158.655937 \nL 139.151734 158.672254 \nL 134.957983 158.914005 \nL 131.142278 159.343276 \nL 127.35775 159.988337 \nL 123.639467 160.854417 \nL 120.023389 161.941164 \nL 116.886254 163.10476 \nL 113.887625 164.439324 \nL 111.053606 165.938671 \nL 108.409854 167.59518 \nL 105.981379 169.399821 \nL 104.023027 171.119915 \nL 102.270178 172.940614 \nL 100.738351 174.852844 \nL 99.442171 176.846709 \nL 98.395234 178.911499 \nL 97.693425 180.767365 \nL 97.199522 182.660602 \nL 96.920229 184.582644 \nL 96.861364 186.524546 \nL 97.027775 188.47701 \nL 97.423293 190.430423 \nL 98.050665 192.374898 \nL 98.911465 194.300318 \nL 100.006087 196.19638 \nL 101.333657 198.052649 \nL 102.891994 199.858621 \nL 104.677587 201.603769 \nL 106.685546 203.277618 \nL 108.909593 204.869807 \nL 111.706041 206.576412 \nL 114.760946 208.148267 \nL 118.058222 209.571135 \nL 121.579469 210.831456 \nL 125.304039 211.916468 \nL 129.209133 212.814324 \nL 133.269929 213.514176 \nL 137.459732 214.006248 \nL 141.750128 214.28188 \nL 146.111191 214.333518 \nL 150.511654 214.154667 \nL 154.919123 213.739792 \nL 159.300242 213.08412 \nL 163.085281 212.309529 \nL 166.800745 211.344578 \nL 170.42304 210.18641 \nL 173.928276 208.831797 \nL 177.292281 207.276904 \nL 180.04475 205.781244 \nL 182.659868 204.131645 \nL 185.121801 202.324321 \nL 187.414506 200.355368 \nL 189.521717 198.221248 \nL 191.124194 196.314896 \nL 192.576927 194.29203 \nL 193.870455 192.154316 \nL 194.995525 189.906037 \nL 195.943284 187.555018 \nL 196.705548 185.113605 \nL 197.275122 182.599563 \nL 197.646205 180.036761 \nL 197.814832 177.455407 \nL 197.779338 174.89164 \nL 197.540782 172.386276 \nL 197.103279 169.98264 \nL 196.474152 167.723546 \nL 195.663866 165.647689 \nL 194.685695 163.785927 \nL 193.555108 162.158044 \nL 192.288913 160.770565 \nL 190.904289 159.616088 \nL 189.417751 158.674307 \nL 187.520264 157.781213 \nL 185.176284 156.983055 \nL 181.991778 156.176818 \nL 167.547239 152.805329 \nL 160.188572 151.111756 \nL 155.300161 150.19902 \nL 150.732743 149.548952 \nL 146.031246 149.100396 \nL 141.224087 148.878212 \nL 136.342535 148.898078 \nL 131.967734 149.126684 \nL 127.584576 149.557924 \nL 123.217899 150.193799 \nL 118.893011 151.034862 \nL 114.635558 152.080412 \nL 110.471448 153.328593 \nL 106.426732 154.776401 \nL 102.527503 156.419694 \nL 98.799816 158.25317 \nL 95.699152 160.008405 \nL 92.76676 161.899205 \nL 90.019541 163.919757 \nL 87.474066 166.063529 \nL 85.146501 168.323254 \nL 83.052516 170.69093 \nL 81.207214 173.157823 \nL 79.834407 175.344114 \nL 78.663537 177.589963 \nL 77.702761 179.888596 \nL 76.959715 182.232859 \nL 76.441466 184.615228 \nL 76.15445 187.027818 \nL 76.104421 189.462412 \nL 76.296391 191.910454 \nL 76.734585 194.363101 \nL 77.422387 196.811223 \nL 78.362273 199.24544 \nL 79.555772 201.656157 \nL 81.00342 204.033587 \nL 82.704679 206.367803 \nL 84.65795 208.648762 \nL 86.860481 210.866367 \nL 89.308377 213.010501 \nL 91.996539 215.07107 \nL 94.918666 217.038062 \nL 98.067232 218.901586 \nL 101.433459 220.65195 \nL 105.007363 222.279659 \nL 108.77773 223.77549 \nL 112.732142 225.130518 \nL 116.857005 226.33614 \nL 121.137566 227.384095 \nL 125.557969 228.266439 \nL 130.101279 228.975515 \nL 134.749547 229.50386 \nL 139.483815 229.844056 \nL 144.284161 229.988487 \nL 149.129716 229.928962 \nL 153.998636 229.656144 \nL 158.868 229.158663 \nL 163.713715 228.421812 \nL 167.715344 227.610714 \nL 171.667025 226.603886 \nL 175.551779 225.379985 \nL 179.351032 223.909791 \nL 182.315048 222.52976 \nL 185.199249 220.939345 \nL 187.990201 219.103346 \nL 190.013039 217.538446 \nL 191.967412 215.786747 \nL 193.844968 213.82021 \nL 195.636194 211.605631 \nL 197.330239 209.104044 \nL 198.914632 206.270269 \nL 200.37504 203.052733 \nL 201.694955 199.393751 \nL 202.855443 195.230606 \nL 203.834865 190.49771 \nL 204.608669 185.130366 \nL 205.149396 179.070672 \nL 205.426814 172.275946 \nL 205.408489 164.730132 \nL 205.060789 156.457927 \nL 204.629552 150.576977 \nL 204.027945 144.44938 \nL 203.24776 138.132804 \nL 202.282279 131.702298 \nL 201.126826 125.250589 \nL 199.779347 118.887133 \nL 198.240981 112.735658 \nL 196.5166 106.93005 \nL 194.615177 101.60854 \nL 192.550021 96.9065 \nL 191.461392 94.827304 \nL 190.338763 92.948297 \nL 189.18496 91.281951 \nL 188.003029 89.839055 \nL 186.796202 88.628492 \nL 185.56787 87.657091 \nL 184.321556 86.929494 \nL 183.060879 86.448059 \nL 181.789504 86.21282 \nL 180.511125 86.22151 \nL 179.229407 86.469587 \nL 177.947962 86.95037 \nL 176.670307 87.655148 \nL 175.39983 88.573377 \nL 174.139761 89.692885 \nL 172.893144 91.000094 \nL 171.662817 92.480291 \nL 169.261232 95.896599 \nL 166.952935 99.810933 \nL 164.751794 104.090218 \nL 162.667625 108.606089 \nL 159.772856 115.568669 \nL 157.160208 122.463197 \nL 153.408371 133.149521 \nL 146.111466 154.388479 \nL 144.300104 158.978713 \nL 142.749554 162.385285 \nL 141.388873 164.878063 \nL 140.164679 166.689693 \nL 139.038046 168.007606 \nL 137.776592 169.138288 \nL 136.390794 170.059068 \nL 134.701237 170.895928 \nL 127.636586 174.063954 \nL 125.879976 175.23285 \nL 124.462659 176.42969 \nL 123.267283 177.729262 \nL 122.386406 178.99856 \nL 121.72763 180.329124 \nL 121.30484 181.706568 \nL 121.134956 182.986433 \nL 121.176296 184.27991 \nL 121.433591 185.574164 \nL 121.909473 186.855966 \nL 122.604372 188.111822 \nL 123.516421 189.328111 \nL 124.765368 190.604096 \nL 126.262923 191.797887 \nL 127.996567 192.892128 \nL 129.95029 193.870232 \nL 132.309718 194.78655 \nL 134.878286 195.527727 \nL 137.622122 196.077544 \nL 140.503539 196.422358 \nL 143.481553 196.551442 \nL 146.512507 196.457277 \nL 149.550782 196.1358 \nL 152.549552 195.586606 \nL 155.461602 194.813084 \nL 158.014846 193.913092 \nL 160.420846 192.839116 \nL 162.646014 191.602307 \nL 164.658779 190.216393 \nL 166.279739 188.840612 \nL 167.681399 187.368568 \nL 168.846331 185.815164 \nL 169.679953 184.360643 \nL 170.300615 182.865128 \nL 170.701038 181.340927 \nL 170.875776 179.800423 \nL 170.821216 178.255912 \nL 170.535558 176.719482 \nL 170.018789 175.202936 \nL 169.272623 173.717758 \nL 168.300471 172.275129 \nL 167.107375 170.885949 \nL 165.530714 169.418068 \nL 163.700875 168.043638 \nL 161.631522 166.776582 \nL 159.338563 165.630345 \nL 156.840046 164.617754 \nL 153.878325 163.672557 \nL 150.721723 162.91813 \nL 147.402305 162.367287 \nL 143.954473 162.030878 \nL 140.414669 161.917619 \nL 136.821097 162.033968 \nL 133.213389 162.384025 \nL 129.632287 162.969457 \nL 126.434723 163.705257 \nL 123.324909 164.632446 \nL 120.334352 165.746781 \nL 117.494365 167.042209 \nL 114.835786 168.51086 \nL 112.623083 169.972776 \nL 110.602981 171.558845 \nL 108.7959 173.259557 \nL 107.221227 175.064236 \nL 106.031352 176.746152 \nL 105.051336 178.491875 \nL 104.292039 180.29172 \nL 103.763222 182.135386 \nL 103.47346 184.011985 \nL 103.429993 185.910093 \nL 103.63866 187.817803 \nL 104.031511 189.485246 \nL 104.723307 191.377461 \nL 105.675235 193.242956 \nL 106.886738 195.068611 \nL 108.355427 196.841188 \nL 110.077005 198.547433 \nL 112.045227 200.174183 \nL 114.251885 201.708457 \nL 116.686783 203.137578 \nL 119.337761 204.449269 \nL 121.823577 205.491411 \nL 121.823577 205.491411 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p6f913be9f3\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZYAAAGKCAYAAAAv7Gd2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOxddXwb9f9+7i7W1FL3drVZ595uwxkM+fHFbTBggyEDhg8fztgXlzF0uA53Z8yY1b1ddV0tqaVp5OT3x33vmjRJm6RJ2sA9r1dfjErukrv7PJ+3PQ/BcRwHCRIkSJAgwUsgx/oEJEiQIEHCPwsSsUiQIEGCBK9CIhYJEiRIkOBVSMQiQYIECRK8ColYJEiQIEGCVyERiwQJEiRI8CokYpEgQYIECV6FRCwSJEiQIMGrkIhFggQJEiR4FRKxSJAgQYIEr0IiFgkSJEiQ4FVIxCJBggQJErwKiVgkSJAgQYJXIRGLBAkSJEjwKiRikSBBggQJXoVELBIkSJAgwauQiEWCBAkSJHgVErFIkCBBggSvQiIWCRIkSJDgVUjEIkGCBAkSvAqJWCRIkCBBglchEYsECRIkSPAqJGKRIEGCBAlehUQsEiRIkCDBq5CIRYIECRIkeBUSsUiQIEGCBK9CIhYJEiRIkOBVSMQiQYIECRK8ColYJEiQIEGCVyERiwQJEiRI8CokYpEgQYIECV6FRCwSJEiQIMGrkIhFggQJEiR4FRKxSJAgQYIEr0IiFgkSJEiQ4FVIxCJBggQJErwKiVgk+B0cx8FisYBhGHAcN9anI0GCBC9DNtYnIOHfA47jwLIsLBYLDAYDCIIASZKQy+WQyWSgKAokSYIgiLE+VQkSJIwCBCdtGSX4ARzHgaZp0DQNjuNgNptBEIRINv39/eju7kZaWhpkMplENBIkBDCkiEWCzyFEKQzDgCAI8Ysk+UwsRVEwm81ob29HSkoKjEYjAIAkSZAkKRGNBAkBBolYJPgMHMeBYRjQNA2WZUVSYFlWjFYEkrAmGYqiwHGcGM2YTCYYjUaJaCRICBBIxCLBJ7Au0AOwIwBrUrH+ngAhqrH+mUBUDMPAZDLZ1GgoioJMJrP7OwkSJPgfErFI8DpYloXZbLaJUkbCSL8zNH1mTTQ0TYs/FwhGiGgkopEgwf+QiEWC1yAs9BaLBRzHuZ2mcqePxBnR0DQNi8ViQzRCRCOkziRIkOBbSMQiwSsYKfU1EoSai6eQiEaChPEDiVgkjBrWUYqnqSdvp6tGIhoAdo0AEtFIkOAdSMQiwWNYz6YA9gV3Z3D2O74cqXJGNBaLRZypIQhCIhoJErwAiVgkeARhNoVlWQBwewEeSi6jTYW5C0dEI7wnIaIZSjRC15kECRKGh0QsEtyC9QLsTtfXSBjrBVuovwiwfp+OIhrrrjMJEiTYQiIWCS5jtAX64eDviGUkOCOa+vp66PV6TJo0CSRJ2jUDSEQjQYJELBJchLUsi6+m3ccTsQyFQDQCAVIUZRfROGoGkIhGwr8RErFIGBbOZFm8jUBZgAXys45ohO8Jg6HWqgAS0Uj4N0IiFglO4cvU11CMt1SYOxA+E4loJEjgIRGLBIcQZlN8GaUMRaASy1A4Ihrhy2QywWw2A3A8RyMRjYR/AiRikWADYTaloqICoaGhiI+P98ti909eUK3ne6yVmwWiGSqoKSk3Swh0SMQiQYR1G3F/fz/kcrlfF7ZAiVhG+5kMRzSCF41ENBICGRKxSLCZ2RBkWUiS9PvAYqAQi7fhKtEMVW6WiEbCeIVELP9yDC3QWzs8+nKht1gsNpPs0gI5CGdEw7KsRDQSAgISsfyLMdxsiuD06ItjVldXo66uDgqFAhEREYiIiIBarf7XRiwjYTiikdw1JYxHSMTyL4Qrsym+iFgGBgZQWFgImqYxf/58WCwWdHd348iRI+jt7QUAlJeXIyIiApGRkVAoFF49vjcwHsjPVXdNhmGgUCigVCold00JfoVELP8yuDqb4u0aS3t7O4qLixEXF4fJkyeDZVlwHIfIyEgAgMFgwJ49eyCTydDU1ISysjIEBweLEY1Go4FcLvfa+fyT4Ey5uaysDBEREUhKSpLcNSX4FRKx/IvgzmyKtyIWlmVRVVWFpqYm5OTkIDExUUzjWEMm42/FzMxMkCQJi8WCrq4udHV1oba2FgaDAaGhoTZEY63lJWEQ1nUygUScmZ4NTZ1JkOANSMTyL4C1b4qrlsHeqLEYDAYUFhaCZVnk5eUhODjYpXMFALlcjtjYWMTGxgIATCaTSDSVlZUwmUwICwsT02ZhYWHSwjgE1sZrkrumBH9CIpZ/OFiWBU3TbsuykCQp/o0naGtrQ3FxMRISEjB58uQRo4uRzkmpVCI+Ph7x8fEA+HqNQDQlJSWgaRoajUaMaEJDQ//1aR6BWIZCcteU4GtIxPIPhaPZFH940LMsi8rKShw+fBg5OTlISEhw+XjCebuCoKAgBAUFiak1g8EAnU6Hrq4uNDQ0AIAN0QQHB//riMbVz3Ikd01AIhoJ7kEiln8gPLUMtoYnqTCDwYCCggIAQG5urkupr6HwhMwIgkBwcDCCg4ORkpICjuPQ19eHrq4uaLVa1NbWgqIokWQiIyOhUqk8JppAIShnEctIkNw1JYwWErH8w2A9m2K9OLgLd7vCWltbUVJSgsTEREyePHnUVsWjAUEQCAsLQ1hYGNLS0sCyLHp7e9HV1YW2tjZUVVVBqVSKRBMREQGlUum1448XeEosQyG5a0pwFxKx/EPgbd8UV1NhDMOgsrISLS0tmDZtmlgDcfWch56jL+ZESJKERqOBRqNBeno6GIZBd3c3urq6xNZmtVptQzT/hNZmbxHLULhCNJK75r8bErH8A+AL3xRXiKW/vx8FBQUgSRJ5eXlQq9WjOh7gnwFEiqIQFRWFqKgoABAHNbu6ulBXV4eSkhKEhISIabPw8HCxHTrQ4C9laleIRrII+PcgMJ8WCSIEMylv+6aQJDlsjaWlpQWlpaVISUnBxIkTR13IHctFRi6XIyYmBjExMQAAs9ksdpxVVVXBaDSKrc1Go3FcTN+7Al9FLCNBcteUIBFLgEJIfQldX97WhXIWsTAMg/LycrS1tWHmzJninIm3MB4WbYVCgbi4OMTFxQGwbW3u7OwEwzAwm802rc3jsUNqrIjFGu64axIEAYVCIdVo/gGQiCUA4Q/LYEfEotfrUVBQAJlMhry8PAQFBXn1eMD4IJahsG5tPnToEPR6PSIjI9HV1YXGxkZwHAeNRoPIyMhx1do8HohlKJwRDcMw2L59OxYuXAilUilFNAEOiVgCDNZRii+1noa2Gx8+fBhlZWVITU1Fdna2T3bogbBwCN1PycnJSE5OBsdx0Ov16Orqgk6nw6FDh0CSpE0jQFBQ0Ji8t/FI0kMx1DZBJpOJHYlDbZyFRgDhdwLhfvm3QiKWAIE3ZlPcgfBw0zSN8vJytLe3Y9asWWIdwhcIRLMvgiAQGhqK0NBQpKamgmVZ9PX1QafToa2tDdXV1ZDL5TZEo1Kp/HJu4zFicQbhulsPXkrumoELiVgCANaWwQD8ks8nCAI0TWPPnj2Qy+VYvHixXxbEQCOWoSBJEuHh4QgPDxdbm3t6etDV1YXDhw+joqICKpVK7DjTaDQ+swcIJGJxdm8786KR3DXHNyRiGccQ2jbr6uogk8kQHx/vl4eF4zjodDro9XpkZGQgKyvLq2TmLNr6Jy4EFEUhMjJStAegaVpsba6vr4derxdbmwXVZm+1NgcisbgijurM9EwimvEDiVjGKawL9N3d3VAqlS7rbo0GNE2jtLQUHR0dUKlUmDhxos+PKSBQUmGjWaBkMhmio6MRHR0NgG9tFoimpqYGAwMDNvYA4eHhHtsDBBqxeCo95IxoJHfNsYNELOMQQy2DhQfG1+jt7UVBQQFUKhWmTp2K2tpanx9zKAKBWLwJhUJhYw9gNBrF1uby8nKYzWaEh4eLqTN3W5sDZfEUWuZHi6Hk5MxdUyIa30IilnEEZ7IsIw0reuO4TU1NqKysRHp6OjIzM6HT6fy+yEsPNqBSqZCQkICEhARwHGczQ9Pc3AyWZW1Um0NCQpx+boEWsfiq09CRcrPwnDkzPfN1c8w/HRKxjBMMN5siOCr6AjRNo6SkBF1dXZgzZ44oc+JrMnOEQEmF+QsEQUCtVkOtViMpKQkcx6G/v18kmrq6OhAEYdNxplarbWaCAmVxFFJhvsZIXjQS0XgHErGMA4xkGeyrRb6npweFhYUICgpCXl6ejcKvrxf54XbZ4xljeX4EQSAkJAQhISFISUkRW5u7urrQ0dGBmpoayGQykWT8tVh7A95KhbkLd4hGctd0HRKxjCGGzqY4y/MOHVb0xnEbGxtRVVWFjIwMZGRk2B3X18Ti6LUDZREcL7BubZ4wYQIYhhHtAY4cOQKO45Cfny92pUVERPistXm08FUqzF24SjSS6dnwkIhljDB0NmW4UNubEYvFYkFJSQm6u7sxd+5csQ3Wl8d0B+M9YhnPsDYzA4DffvsN6enpMBgMaGxsRGlpKYKDg21am8eLPcB4ja6cEY3FYkFbWxu6u7uRmZkpEc0QSMTiZ3hiGeytRb67uxuFhYUIDg7G4sWLh929jkW9Q6qxeA/C5xgZGYnExEQA/KZCqM/U1tbCYDDYtDZrNBqPW5u9cb6BsBhbE43FYoHBYAAAp6Zn/1aikYjFjxhaoHe1IDhaYuE4Dg0NDaiurkZWVhYmTJjg0iCa1BUWuBCunfVnKpfLbVqbTSaTSDSVlZUwmUwICwsT02ZhYWF+WxDHSyrMHbAsKxKHAMnGmYdELH7C0NkUd26s0RCL2WxGSUkJent7MW/ePDFNMhKkiCWw4YhYhkKpVCI+Ph7x8fGiRIpANIcPHwZN0zatzaGhoT5bEMdrKmw4CM+yNYRCv4B/q7umRCw+hjcsgz0llq6uLhQWFiIsLAx5eXluFW4FEUp/t6xKxOJduHrtCIKwsQcY2trc0NAAADZE4017gECOWIbDv5VoJGLxIbzlmyIs8u4ct66uDjU1NZg4cSLS0tI8ksoQXstfN3mgPEyBcJ6uRCzDYWhrM8dxYmuzVqtFbW0tZDKZjQ+NSqXy+HiBUmOxhqOIZSRYE4216dk/zcZZIhYfYaTZFHfgTsRiNptRVFSE/v5+LFiwABqNxqNjWhOLL+CsrVqKWLyD0RLLUBAEgbCwMISFhSEtLQ0sy4qtza2traisrIRSqbQZ1rSeixoJgZgKY1l2VIKh1hpnwPDumm+//TYWLVqE+fPnj/7E/QCJWLwM69kUb1kGu0osOp0OhYWF0Gg0yMvLG1UrqbATcyXc9wQ6nQ5msxmRkZE2D6dELN6Bt4llKEiShEajgUajEe0BBDHNpqYmlJWVQa1W2xDNcPdjIKbCGIbx6lzQcETz9ttvIyoqSiKWfyNYlgVN0163DB6JWDiOw6FDh3Do0CFMnDgRqampoz6uryIWlmVRVVWFpqYmKBQKlJaWIiwsDBEREWAYZtwTy3g/PwH+Pk+KohAVFSVKAlksFpFo6urqUFJSgpCQEDFtFh4ebrehCDRi8dWmS4A10fT39yM4ONhnx/I2JGLxAjyZTXEHwxGLyWRCUVERBgYGsGDBAoSHh3vlmL4gFqPRiMLCQlgsFixcuBAKhQJmsxk6nQ5dXV0wGo0oKyvDkSNHxp1/fKDB1xHLSJDL5YiJiREdR81ms9gIUFVVBaPRKG4ohE1FoBGLv86Z4zhx5ihQIBHLKOEPy2Bnki5arRZFRUWIiIjA7NmzvWYQJRwTgFcGMwH+XAsLCxEdHY25c+eCIAhYLBaoVCokJiYiMTERBoMBsbGxIAjCpkAskExkZKRbeft/M8aaWIZCoVAgLi4OcXFxAGCj2tzS0gKLxQKFQiHWady1BxgLMAzjt4FSKWL5F8F6NsVa9sHbGBqxcByH2tpa1NXVYdKkSUhJSfEJmXmjmC50qNXW1mLy5MlITk4GQRBiutAaJEmKsxWCf3xPTw90Oh0OHz6M8vJyUZJEsPX1Jpn+kzDelY2HtjaXlZXBbDajr68PjY2N4DjOpj4zHiNXX6fCrNHf34+QkBC/HMsbkJ5KD+CN2RR3YE0sRqMRRUVFMBqNWLhwIcLCwnx23NESi8ViQXFxMfr6+uzSdMKMzHAgSdJG+0rI2+t0OlRXV9ukUyIjI/06KR4IGG8LsTMILbjh4eHIyMgAx3HQ6/Xo6uqCTqfDoUOHbO6FiIgIBAUFjfn781fDAcMwGBgYkIjlnwxvzaa4A+Hm7ejoQHFxMaKiojBnzhyf79ZHo6rc29uL/Px8hISEIDc316XumZGIbGjeXkinCBGNYIIlqPlae5N4E2O9oLmC8R6xDIV1uzFBEAgNDUVoaKgYufb19UGn06GtrQ1VVVVQKBQ2RKNSqfx+zv5KhfX39wOARCz/VAj95f6IUhyhoKAAU6ZMQVJSkl+O7e5gJsAvaM3NzaioqHAqye8M7r6noekUYZcr1WcCk1ic7f6t7QGE1uaenh5ReqaiogIqlUq81hqNxi/2AP4q3kvE8g+FkPqqrKwUb15/PbRGoxEFBQUA4JbWlzfgbiqMYRiUlpais7PTxo3SHXiaenO0y/0312cCjVjcaTemKEqMSgHeBVVoba6vr4der0dISIiNarMvrrW/aiz9/f1QKpXjxuLAFfxznywvwTr11dnZiaCgIKceJt5GR0cHioqKEBMTg+7ubqjVar8cV4A7qbD+/n4UFBSAoijk5eV5lJrw5uS9o/qM0IVkXZ8ZCyVffyDQiGU0k/cymQzR0dGIjo4GwLc2C0QjXGtre4Dw8HCvEII/I5bx2LwwHCRiGQZDZVkoivKL+RXLsqiurkZjYyOmTp2KxMREtLS0jFsP+tbWVpSUlCA5ORkTJ070+GHz5YMzVDLeuj7T3NwMlmXFhceX9Rl/IVAGOQV4sxCuUChsrrW1anN5eTksFotN04cnrc1C84k/Iha9Xu/3TeVoIRGLAzizDKYoymGbrDcxMDCAwsJC0DSN3NxcMa/qbXtiVzBSjUWYom9ubsa0adMQHx8/quP5Uyvsn16fCbSIxZeT9yqVCgkJCUhISADHcTYzNMKmwlq1OSQkZMTPzrp5x9cQWo0D6XpKxDIEQy2DrW8cX9v1tre3o7i4GHFxcZgyZYrNbmgsrIKHIzPrKfrc3Fy3h7ecPSRjsdMeWp8RvOOFaMa6PmMymQKiNhNoxOKv1l2CIKBWq6FWq5GUlGRnD1BXVweCIGw6zhxFr8Jz4a8aSyANRwISsYiwlmVx1vXlq4jFWj8rJydHtJK1xlgRi6OF3nqKft68eV57uMbLQmjtHZ+ZmWlTn+nq6gJN0zAYDGIBeTxOiQcisYzF+Q61BxBam7u6utDR0YGamhrIZDK7GRprF1hfQyKWAIWrsym+WNwNBgMKCwvBsizy8vKc3kBjQSxDU2HWYpfWU/TewniVzbeuz1AUBZPJhIiIiHFfnxkP5+AqxosIpXVr84QJE8TotaurC0eOHBHtAQQ3TUGKxpeQiCUA4Y5lsLcjlra2NhQXFyMxMRGTJk0aduc/1hGLxWJBUVER9Hq9V8Qux1MqzF3IZDJR30yoz+h0Orv6jFCjGYv6jBSxeAfW0SvAtzb39PSgtbUVHMdhx44dYppUaG32dltwoMm5AP9iYvFEloUkSbGgPxqwLIuKigq0tLS4XPQeyxpLT08PCgoKEBISMmqfl5GOFwjEYn2fWNdn0tLSbIb3BF+S4OBgm+E9f9RoApFYxkPEMhJkMhmioqJAURR6enowf/58MUVaW1srqhBbE81oU8USsQQIPJVl8UbEYjAYxIHHvLw8l9sIPZmCHy0EleHS0lJkZmYiPT3d66mv4f4/EGE9vDe0PjN0fsaX9ZlAI5bxkgpzFUKGY2gbu8lkEq93RUUFzGYzwsPDRaLxZF6qv79fajce7xiNZfBoo4YjR46gtLQUSUlJmDRpkls3mL8jFoZh0N/fj76+Po+n6D1BIEQs7mCs5mcCjVgCJWIR4GzqXlDnjo+PB8dx4gyNcL0ZhrFpbRZqNcOhv78fCQkJvnorPsG/hliczaa4A08HJBmGQUVFBY4cOYLp06eLnhTuwJ/E0t/fj/z8fLAsi/T0dL+RSqCkwkYDR/MzOp0OnZ2dqK2thVwuF0lmNPWZQPscx2uNxRlcmbonCMLuelu3Njc0NACADdE4mrCXUmHjFENnUzw14yJJ0u1UmCB1QpKkW6kvR8f2B7EIU/QpKSnQ6/UBMbMRqPBlfUaIWIxGoLKShNHIfz87m4WfFIncQqClwjzRCRva2sxxnNjabN34YR3NhISEwGAweI1YHnvsMXz22WeoqKhAUFAQ8vLysHHjRkyaNEn8HY7j8MADD+CVV15BV1cXFi5ciBdffBE5OTkuH+cfvWp42zLY3RpLS0sLSktLkZKSMiqpE8D3k/csy6KyshKHDx8Wo6r8/Hy/7nz/DRHLcHBWnxnqPzNSfaanB3jvvTB8/HEcqqtDQNO29/yECSzOOceClSstSEsb+89bkEcJJGLxhk4YQRAICwtDWFgY0tLSwLKsTWvzo48+ih9++AEJCQkoKSlBS0uLwxk3d/Dnn3/iuuuuw/z580HTNO6++24sW7ZM3MQAwBNPPIGnnnoKW7duxcSJE/Hwww/jxBNPRGVlpcv2yP9YYhlaoPeGZbCrqTCGYVBeXo62tjbMnDlTzK+PBr6MWAQFZYZhbKbo/b3QB0IqxJ+fh6P6jE6ns5Eisa7PyOVqvPKKAo8/rkRv7+ACEBnJQqMBzGaguZlEfT2J//5XiaefVuCaayy4804TxtJO3TqTECjwhRcLSZLQaDTQaDRIT09HdnY2jj/+eGzatAl//PGHuEE977zz8MADD3h0jB9++MHm/998803ExsbiwIEDOOqoo8BxHJ555hncfffdOOusswAAb731FuLi4vD+++9jzZo1rr0Xj85unEPwTaFpWrQM9sZN60oqTK/XY/fu3dDr9cjLy/MKqQjH9gWxaLVa7Nq1C8HBwVi0aJHNIJa/9cn+7RHLSAgKCkJSUhKmTZuGJUuWYM6cOQgPD0dnZyc+/7wc8+YRuOsuFXp7CaSnm7B2bS2Ki/Woq+tHQUE/ysr60dTUh61bB3D00TQYhsALLyiwaFEwiorGbilwJJ803uGPZoOwsDCceeaZsFgsePrpp6HVavH4448jMzPTa8fo6ekBAFGxva6uDq2trVi2bJn4O0qlEkcffTR27drl8uv+oyIWX1sGjxSxHD58GGVlZUhNTUV2drZXbzxvtxtbT9FPmTIFycnJPj+mq+clYWRY12fy8zNx220q9PcTiIiw4IorarB4cRUGBlT4/nsClZVR6OtTwWgkkZDAYdIkFps3G1FaSuK221SoryexbJkar71mxGmnjX5Oy10I1zzQiMUfOmEcx4k1Fo1GgzPOOMOrr33zzTdjyZIlmDZtGgC+xgrArsEoLi5ObDZwBf8YYvGHZbCziIWmaZSVlaGjowOzZs0SrXO9fWxvRQ9msxnFxcXQ6/VYuHAhwsLCHP6elAob/3j1VTluvVUJjiNw1FE03njDhCNHUvH44wn48ccw0LTjxfrmm4GlS2ls3GjEli0K/PabDJdcosK77xpx6qn+JZdATYX5q7HFV5Iua9euRVFREXbs2GH3s6HXwt329X8EsYxmNsUdOIpY+vr6UFBQAIVCgcWLF/vMe9tbxNLT04P8/HyEhYWNOEU/Fqkwf6sLBDKef16Ou+/m77errjLjzjvNePhhBd54Qw6O45+BqVMZLF7MICnJBJruR10dg4ICFUpLo/DXXzL89ZcMp5xixMknc/jhBzlWrlTh008HcMwxvrWHsIbQahxoxOIP+2OAJxZXi+au4vrrr8dXX32F7du322QrBBWQ1tZWm9mZ9vZ2t8YkAppYrGdThK4SX96cQsQi7OIFb/cJEyYgMzPTp6H8aImF4zg0NTWhsrLS5Sl6KRXmGONhAXzvPZlIKrfdZsKpp9I46ig1mpr4e/Dkk3tw7rn1OPfcDKu/4ne9HMehsrINTzwhx2efReC771SIiRlAYiKDlhYVLr1Uhe3bDZgwwT/XItA6wgD/pcJomobJZPJauzHHcbj++uvx+eef448//kB6errNz9PT0xEfH4+ff/4Zs2fPBsBnOP78809s3LjR5eMELLGwLAuapn2a+hoK4UayWCwoLy+HVqvF7NmzRUtUX4IgCI/lZGiaRmlpKXQ6HebOneuytbKUChuf+OUXCmvX8qRy441mTJnC4qST1DCZCGRksHj+eSNSU5vQ1WXAL79Q2LOHQlkZif5+AhTFz7LMmSPHs8/SWLvWgJUrVWhoCIJCwW9curtJnH02i61ba5GYyFv5+jLtE2hT94D/bIn1ej0AeI1YrrvuOrz//vv48ssvERoaKtZUwsPDERQUBIIgsG7dOjz66KPIzs5GdnY2Hn30UajValx00UUuHyfgiMXbsynuQLiR9uzZA5VKhcWLF/tNudbTiEWv16OgoAByuRy5ublupeqkrrDxh7o6AldcEQSGIXD++RZkZLBYtUoFjiNwyikWbNliBEUBDz8cg48/nojOTvt0zS+/8P8NDuZwwQUWfPbZAG68UYUdOwaXg+rqMLz4YgIuvbQQJpNJ1Lvyhb5ZoE3dA/6LWPr7+wF4j1g2b94MADjmmGNsvv/mm2/isssuAwDcfvvtGBgYwLXXXisOSP70009upeMCiliGyrL4k1Q4jkNLSwsAIDY2FpMmTfLrw+AJsRw5cgQlJSUed6mRJAmLxeLW34wWErE4h8EArFgRhO5uAvPmMVi4kMGNN/IbhVWrzHjySRM+/1yG9euVaGvjF4GoKBYnn8xgxgwGkZEcTCYCZWUkfvpJhpoaEq+/rsAnn8hx110myOXA778PLgkffBCHK65Ygtmz+8X5maamJnAcZyM7M1p9MylicY7+/n4EBQV5jcRceb4IgsCGDRuwYcMGj48TMMTCsqyorzNlyhS/3ogWiwWlpaXo6uoCAKSmpvp9h+UOsVhP0Y9mQNOXEYTgaxEWFiY+NFLEMjzuuUeJ4mIKMTEsVqyw4JZb+Gh57Voz7r7bhLVrVXj3Xb4ZIyXFhKuuasI118RBoQAYBtDpCJhMwPnnc3jsMRN27KBwzz1K5OdTWL9ehbPOsmDSJAaVlfz14DgC116rwq5dLJKSkkQr36EOi3K5XCSZyMhIt4vaUo3FOQRl40CL6MY9sVjPppjNZrS1tbmlWTNaCF4karUaeXl52L59+5h0LrlKLNZT9KPRJgN8t9Dr9Xrk5+fDaDSC4zhoNBpERkbCbDaPe2IZK9XgH3+k8Npr/IJ9441m3HmnEgxD4OKLLbjpJjNOO02NAwcokCSHW28149xzK9HayuLJJ1Pwyy8yHDxIgmEGzzsri8WyZTReeMGIX36R4YEHFPjsMzmmTGEQHs6hp4f/3aoqCq+8IsfatXzkOlSGRNA30+l0or5ZSEiISDKu+JEEYirMnzWWQHOPBMY5sQydTZHL5T7xnHd27MbGRlRVVSEjIwMZGRniFL+/zsEarhBLZ2cnCgsLERcXhylTpox6R+WLaX/BNTMlJQWpqakwGo3Q6XTiF0EQKC8vF3fA/mrpHM/Q6YDrruNTXhdeaMFrrykwMEDguONo3HmnCcuWqVFbSyIigsO77w4gO5vFLbck47vvImzIhCA4yGSAxUKgpoZETY0CL72kwKmnWvD00ybceacS5eUUZDJbct+4UYkLLqARHW1P+tb6ZgDfQdTd3Q2dTofKykqX6jNSxOIcgrJxoBHvuCUWQZbFejZFEIH09a7RYrGgpKQE3d3dmDdvnmhLCngunT9aDLfIcxyH2tpa1NXVOZ2i9wTejFg4jkN1dTUaGhowffp0xMbGwmw2Izg4GMHBwUhJSUF9fT26urogl8vR0NCA0tJShIaGigtXeHh4wC1A3sC99yrR3k5i4kQGLS0E6utJTJjAYtMmI846Kwi1tSRSU1l89tkA9uyhcOGFQejt5Yu9S5fSuOACC5YuZZCSwoEkAa2WwK5dFLZtk+GLL2T49ls5/vxThjPOoPHllzIYDLbPVk8PgcceU+DJJ00jnqtCoXCobyZENADECDUyMhJBQUFSjWUYGAwGKWLxBoTUl9D1Zd1GLLQ8+nK30N3djcLCQoSEhGDx4sV2O+axjFgcLfJmsxlFRUUwGAzDTtF7Am8Ri3COAwMDyM3NRUhIiEOSFBz5srKyxL8TFqXS0lIwDCPufIVFKdB2cu5i+3YK77zD34MzZrD49FM5VCoOr7xixKpVQaiqopCczJPKU08p8P77fI0lJ6cft9/ehFNPTcJvv1F46y05KitJ6PUEVCogPZ3FuefSuOkmM9avV2LXLhk++ECOyZMZVFTYP1tbt8px001mJCe7dz8I+mbW9RmdTmdTn1GpVLBYLDCbzQEToforYpFSYV7ASLIswoX0hbIox3Gor69HTU0NsrKyMGHCBIeL1niKWLq7u1FQUIDw8HDk5uZ63YveG+3Gvb29yM/PR2hoKHJzc0ech7AmMoVCYePGJ5hiCYuSQqEQSSYiIsLr73+sYTYD69bxKbClS2l88w3/2T3wgAkvvCBHQQGF6GgW7703gHXrlNixQwaS5HDffWYsWVKN996Lxy23BKOz0/HOevNmICSEw6pVFsycacbmzQqHpALw6bMnn1Tg6adHjlqcwbo+M2HCBLE+09jYCL1ejx07drhdnxkLCCMP/uoKk4hlFHBFlkW4kN6OGATtrL6+PsyfPx8ajcbp746HGov1FP1wJOiNY44mYhH8aKxrVMNhuJ87MsUScvl1dXVi2iwqKsqnXvL+xJYtctTUkIiKYtHWRsBo5Osq3d0EvvpKDoWCw+bNRqxbp0J+PoWwML7G0thI4uyzc9DTwxNtQgKLE06gMXMmi/BwDno9gfJyEj/+KENDA4lnn1UgMpLFaadZ8N13MrCs4+vwzjty3HqrGUlJ3kmPCvUZg8EAkiQxefJk0V3Ruj4jbBzGyzUVnkN/1lgCDWNOLO5YBgt1FuF3vYGuri4UFhaK2lkjheJjHbF4OkXvCTxNhQntzi0tLcOKcgqvL1xvd45HURSioqJE22TrJoDm5mabWQshbeYt+CP91t5OYONGvp04KYlDURFPHBdeaMGaNXwU89hjJjz1lAL5+RSioli89ZYRr74qx5df8oSSmTmAhx4CTj6ZhqNAcdMmE374gcIDDyhRVkbhm29IhIVx6O11fE5mM4GXX1bgoYc8j1ocQegKUygUiIuLQ1xcHDiOw8DAgGh01tjYCAA2/jNjlQq1zqj4GlKNxQMMtQx25ULJZDKvRAwcx6Gurg61tbXIzs5GWlqaSzfpWEUsBEGApmns2bMHCoUCeXl5Pp/69yQVZjKZUFBQAJqmkZubO2y7s6MmDE8jJJVKhcTERNFbXMjlt7W1oaqqCkFBQSLJuGPxO1Z47DEFensJxMayqKnhn4vrrzfj3nuVYFkCF11kwW+/Udi9W4bwcD5yuf12niBkMg5XX92Eyy7rwsSJGU6PQRDA8uUMjj/egIcfVuCZZ5To7R3+Gdi6VY477jDBm5toR2klgiCgVquhVqsd1meqq6vFVKin8zOjOV/AP8Si1+uliMVVWMuyuKtI7K49sCMIxeT+/n4sWLAA4eHhLv/tWEUsOp0OZrMZycnJyMrK8stN7W4qrLu7G/n5+YiMjEROTo7bi7e3dp9Dc/k0TaO7uxtarVa0+BVSLELabDw1AdTVEXjrLT7qUCgAg4HAwoUMSktJtLby3WGRkRzef18BpZLD44/z6bCWFhLx8Sw++GAAQUFHIJe7FqUpFMCDD5oxdSqLa69V2VkZW6Onh8C778px9dXeU2Rwpd3YWX1GiGY8mZ/xFEJHmD/umf7+fp9mJXyFMdu2eapIPFpi0el0KCwshEajGVE23hH8HbGwLIuKigocPnwYJEli4sSJfju2O6mppqYmVFRUuBX9jeZ47kAmkyE6OloUC7VugW1sbARBEOKCFBUV5Tf9N2d47DElaJqARsOhuZkEQXBYvJjGU08pQVEczjiDxqZN/DneeqsZjzyiREsLiUmTGHz22QBSUjiUlblP1BdcQCM42IhLLlE5rbMAwMsvK7BmjQXeWlc9KYQ7mp8R0maO6jNhYWFeIwJ/dYQBUo3FLQiDhp7AU2KxdkycNGkSUlJSPLrR/BmxDAwMoKCgABzHYfbs2cjPz/fLcQW4stCzLIuysjK0t7djzpw5Ys3DU/hj8t66BZZlWfT19UGr1aKlpQWVlZVQq9U2aTN/diZVVJD46CP+sTQY+O+dcgqNt9/mN0Dnn0/j1Vf5lM9FF1nw4YdyNDfzUcy33w4gNpb//Dyd9Tr9dBpPPWUSu9Ec4dAhEn/9ReGoo7yzwfLG5L0/6zP+mmEBILpHBhrGLGLx9KJ6Qiwmk0mcoxjtrIe/IpaOjg4UFRWJU/Qmk8nvKbiRaiwC8QFAXl7eqE3OxkIrjCRJhIeHIzw8HBkZGbBYLDY7X7PZjPDwcLHbzNdtpo88ohBNusxmAkFB/LR8ZyeJzEwWVVUkursJzJjBoLaWRG0tiZQUFl9/PUgqgC2xMAywfz+J33/nhSe7uwmoVBwyM1nMm8fixBNpWF+6K66woLiYF6h0hq1b5V4jFm9P3rtTn/FE4cHfEYtUvPcD3O0K02q1KCoqQkREBGbPnj3qoq03ajzDgeM41NTUoL6+HlOnTkVSUhKAwXqHP7Wqhqux6HQ6FBQUIDY21iP5GEfvYTzUOeRyuTg5Lux8hbRZXV0dOI6DSqVCSEiI1wvGBQWk2NElYNmywfmVCRNY/PqrDKGhHOLjOfz0E//vTz4ZQEKC7XXivdJJPP+8HC+9pMDhw84Xbo2Gw8qVFtx8swmCyMRjj5mwfz+FwkLH1/XTT+XYtMmEqKjRbwRYlvVpM4Wj+kx3d7coaltaWipez4iIiBGjVF/M0TmDL9wj/YF/bMRivUBPnjwZycnJXlm4SJKE2Wwe9es4gtlsRmFhIQYGBrBo0SKbG0rY0flzt+QoguA4Dg0NDaiursbkyZORkpIyqtcfivEkQmm9801OTgbLsigpKYHZbLYRXLROm41m5/3II7a1nYQEFs3NvHjk1KkMdu7kr/u8eQx++ol/dF97bQBTp9pHlX/+GYHnnstCaytPVBoNh+OPpzFjBovoaBYGAz/L8tNPMjQ387Ms77wjw3PPmfB//8dHMFu2GLF0qRoWi+Pn5pNPZF4p4vtbhHJoq7p1faaiokKMUp01d/gzFSZFLH6CK+3GRqMRRUVFMJlMdgv0aOGriMV6ij4vL89uBzdWxGKdCmMYBiUlJdDpdCMOknp6vPFELENBkiSUSiXUajWysrLEBUmr1aKsrAw0TdvMzrgjd15Swg8sWiMnh8Uvv8igVHLo7+cHJLOyWOzfz1//W24xYfly23vRaATuuEOJN9+cAgBIS2Nx221mnH++BY56EljWhB9/pHD//UpUVFBYsSII111nxiOPmDB1KotbbjHj8ccdNzN89JF3usPGWivM3fqMv4iF4zipeO8vjLSwd3Z2oqioCNHR0ZgzZ47XQ2xvK/5aqygP11FlTSz+gnUqzGAwID8/HzKZzGczNOMhFeYOhi5I/f28IZZWq0Vtba3oUyJ8DdeB+Nxztim1+HgWJSX8NU9PZ1FRQUGh4GA2A319BBYtonH33baRs1ZL4Nxzg7B/PwWC4LBqlQ4PP6zAcM4JJMnPspxwggEPPcTPsrz4ogIdHQQ2bzbillvM+OgjOerq7BfSAwco1NQQyMoa3WZgPKkbD1efaW9vR3V1NSiKAkVRaGtr87kCtxSxuInRpMJMJvvJX5ZlUVNTIxqBJSUl+WSh8mbEQtM0SkpK0NXVZaeiPBTCexkLq2ChkSAxMRGTJk3y6SIwniMWAc7qQyEhIQgJCUFqaqrNnIWQxw8LCxNJJiwsTPwcm5sJfPqp7aMYHs6hspKfqO/o4I+nVgONjSSCgzm8/LLRZpq+pYXA6acHobqagkbD4Z57SnDaaQqo1YkuvSe5nJ9lmTaNxZo1Knz8sRxKJYcXXjDhoYdMWLHC8UzMJ5/Iceedo0sNj2c/Fkf1maqqKvT09HhUn3EXUo3FT3BUvDcajSgsLITFYvF66msovBWxCGZXSqXSpQhAsGH2d2cYTdMoKChATk4OEhNdW6Q8xXhdXDzB0DkLk8kkNgEUFxeDZVkxtfLss6k2Q4mRkSyOHOFJR6UCDh8mIZNx6Ovjf/7wwyZkZAwScHv7IKkkJ7P4/PMBGAxdIIh4t8/7vPNoqNVGrFihwjvvKJCayuH2283Iy6Oxa5f9cvHuu94hlvESsYwEiqKgVCoRHh6OKVOmuF2fcQdmsxkWi0VKhfkDQyMGYTcdGxuLqVOn+rz+4I2IRRBnTEtLQ3Z2tss3ni+Mt5yBpmlUVFSA4zivy/E7w3ivsYwGSqUSCQkJSEhIsFFqPnSoC2+9lW3zu2o1Pxgpk3Foa+PvDY4DGIbAggUMLr98sK6h1wNnnz1IKj/8YEBqKoeDBz3vHjzttMFZlkcfVWDePAb33GPGKafYLxdNTSQqKkhMnuz5fTmeUmGuwLrO6ag+o9Pp0NXVNer5mf7+fgCQiMUdjLYrjGVZVFdXo7Gx0aYt19cYzeIuTNEfOXLEIy96fxGLEE0JuWN/kIqAfyqxWMNaqfnTTxUwGgcfQ7WaRkcH/2/rKIZhCJAkh6efNkJYgxkGWLUqCIWFFGJiWHz1FU8qwOgtlK+4woKiIhJvvKHAlVeqsHu3AUcdRWP7dvsl48svZZg82fOoJZAiFsB5u/HQLkJH9RmlUimSzEj1Gb1eDwBSjcUfkMlksFgs2Lt3ryh06E9G93Ty3nqKfiRxRmfwB7EI1sGpqalITk7G9u3b/TY7809KhbkCsxl4+WXbgr5KRUKnc7zIXnJJF7KzGQD8NOMTTyjw/fcyqFQcPvhgwKaI7o1r9vjjJuzbR6G4mMKttypxxx1mh8Ty7rty3HHH6IglkK49y7IuFexHOz8jKBsHEukKCLgz7uvrQ19fn2gc5e8w0ZPJ+46ODuzatQthYWFYuHChR6QiHNtXO3qO41BVVYXi4mJMnz4dEydOFG9of0URgZAK8+b5ffWVDG1tg48gQXDo6XG8wMbEWHDuuaXYvXs39uzZgw8+aMHGjfzi9txzRixYYLvh8AaxqFT4X5MAhy+/lEOnIzBrlv2939BAoqHB82MFWirM03ZjYX4mKysLCxYswJIlS5CWlgaLxYKKigps374d+fn5qK+vR35+Prq7u91qWR8J27dvx+mnn47ExEQQBIEvvvjC5ueXXXaZWMsVvhYtWuTRsQImYhE8PpqbmyGXy5GTkzMm5+FOxOJsit5T+CpiEQYzjUYjFi1aJJK1v4nF38caa7z6qm20wnEEnO1ZHn+cxlFHzQJN06it7cGKFYlgWQLHH9+IiRPrUF/PC2iGhIQ4JejmZgK//irDgQO8SjLDANHRHGbOZHDiiTSys+3/Zvp0FjfdZMamTUrceacS69ebsXatfRrol19kWLXKs5mWQIxYvFHLdVaf6ejowH/+8x9YLBao1Wq8/PLLOPHEE5GZmTmqz6m/vx8zZ87E5ZdfjrPPPtvh75x88sl48803bc7REwREjcVgMKCwsBAcx2H69OkoLS314ZkND1cjluGm6EdzbG8Ty3DWwcI1kiIW76OkhMTu3a49frNmMTj7bL4TkqJkuPfeZLS3y5CdzeCVV5QwmWLFtmaSJBEZGQmz2Sx2T+7eTeGJJxT47TdK1CGzxgcfyLF+PZCXx8/GLF1qe3/feqsZH34oR1MTiaYmAlFRLLRa2x37V1+Njlj+DRHLcBhan6mpqcHmzZuxefNmfPzxx1i3bh0SExPx6aefYu7cuR4dY/ny5Vi+fPmwv6NUKhEf73434VCMacTiykLS2tqKkpIScYZiYGBgTIy2BAgRy3Cphq6uLhQUFIjS/N4a0vQ2sYxkHezr2Zmh1z+Qdq2jxWuvuW7XsGGDSSzYv/WWHD/8wE/jv/mmETExagCDkjO9vb3irnfnzkN44w0NduwYbBJZuJDBkiU00tI4yGQcDh8msXs3hT//pLBrlwynnirDeedZ8NRTRgg9G0FBwIMPmnD55UF4/nkFLrzQYidQ+fvvMpjNvLeLuwg0YvGH+oVcLkdCQgKSkpLw+++/o7+/Hzt27EBWVpZPj/vHH38gNjYWGo0GRx99NB555BG3m4yAcZwKEzqoWlpaMG3aNJFFZTLZiAu7LyHcUI5uLmsdrdH4kjiDt4jFVetgKRXmG/T08HIoruCYY2gcdxy/kWpvJ3Dfffy80333mTBjhu29QJIkNBoNNBoNvv2WwaZNM9HdTYGiOCxb1owzz6zC5MmDqr7BwcHi/dnSQuC//1XgzTfl+PhjOfbvp7BtmwGZmfz1OOssGs89xyA/n0JXl+N7es8ez6T0/y01Fneh1+vFjrDg4GCcdNJJPj3e8uXLce655yItLQ11dXW49957cdxxx+HAgQNuK22MS2Lp7+9HYWEhCIJAXl6eTbFbWMwZhhkTe1nhhhracujOFL2n8MaApDvWwVIqzDd4/305+vtd23Bs2DCoMrF+vRLd3XwB/ZprnKedXnhBjnvumQ2OIzBzJoOXXjJi2rRwGAw54pDmoUOHIJPJRJKJjo7EU09xOP98C1atCsKhQySWLVPjq68GkJPDgiCAu+824Zxz1Pj+exlmzGBQVGS7sfr5Z5lHxPJvrbGMBH/rhJ1//vniv6dNm4Z58+YhLS0N3377Lc466yy3XmvcpcKOHDmC0tJSJCUlOZQPGWtisY5YBPT19aGgoAAqlQqLFy/2mXbQaCMWa+vgadOmjfhw+FtGJlAWl9GcJ8cBr7/uWrRy5pkWzJnDf/a//ELh00/lIEkOzz5rK+di/doPPKDAU0/xu8uLLtLj2We5/4lPEggODkZwcDBSUlLAsix6enqg1WpFa9/Q0FBER0fis8+iccUVCSgqovCf/wThp58MSE/ncOKJDObPZ7BvH+Wwe+3ZZxV46CF7uaWRPxMpYnGEsRagTEhIQFpaGqqrq93+23ETsTAMg4qKCrS2tmL69OmIi4tz+HuClfFY1VmENjzh+EKdYsKECcjKyvLp4jgaYvHUOtjfUcQ/PWLZu5dEVZVru9316/nZkIEB4Oab+dmVNWssmD3b8T3w5JODpHLFFZXYsCEYSmW4w98lSVKcCAf4ZhMhmtHpinHnnSW4556lqK0Nxtlnq/DHHwaEhRG46SYzLrooCC0tju+flhYCiYmuX0PBYyiQiMVfEYswxzJW0Gq1aGpqQkJCgtt/Oy6IRa/Xo7CwECRJIi8vD0FBjgXvBPjabGskCHplpaWlaG1tHbZO4U14MsfCMAzKy8vR3t6OuXPnitpVvjympwiEiGW0n4VgMTwSTj/dgilTeALZvFmB+noSiYks7rnHcUTw+utyPPggTyqPPmrErFmHQJIzXD4vhUKB+Ph4xMfHi0rNr73WjPPOm4CaGiUuuMCAJ59swty5kcjMnIDaWscL66+/UrjkEteN+ISNUiBcewH+rLF4M2LR6/WoqakR/7+urg4FBQViOnTDhg04++yzkZCQgPr6etx1112Ijo7GmWee6faxxnyb0NLSgt27dyM6OhoLFy4ckVQA910kvQ2CIFBUVITe3l7k5eX5hVQA9yOWgYEB7N27F319fcjLy3ObVADfRSxGoxFlZWWor69Hb2+v2IzxT45Y+vqAzz5zjVhuvZWPVjo7CTz5JJ9a3bDBBEdd6199JcPNNyv/93cmrF1rGdXnKCg1z52biA8+oCGXc9ixIx7ffhuLxsY6nHii83b/Tz91vdsNGCSWQIlYOI7za43FmxHL/v37MXv2bMyePRsAcPPNN2P27Nm47777QFEUiouLccYZZ2DixIlYuXIlJk6ciN27d3s0KjGmEUtFRQWamprc1s0ay4ilo6MDFosFERERmDVrll8fCHeIRavVorCwUBTn9PQ8faGo3NXVhfz8fGg0Guj1ejQ1NYnyFwzDwGw2+9TjYqzw+eeuFe1POIEW012PPaZAXx9fsD/vPPvNVFUViauvVoHjCKxaZca99/KE5K2uyQULWNx3nwn33qvC00+n4vzzo3DHHSa8/TYLg8H+nvr9dxk4DnD10AIBBgqxCM+Cv1Jh3oxYjjnmmGE3HD/++KPXjjWmxBIfH4/U1FSoVCq3/s4VF0lvg+M4VFdXo6GhAUqlEikpKX5/GFwhFm9aBwvH9GYU0dzcjPLycmRnZ4u5W47j0Nvbi9bWVnAchx07diA0NBRRUVF23iWBDFfTYLffzpNDdTWBN9/k/+bhhwdnWQT09wOXXKKCXk9g6VIamzaZxAXdm+34a9da8M03cvz9N4X165V47z0OF11E47XXHJP/l1/mY8oUtaiBNVyTTaClwvwZYY118X40GFNiiYiI8Igg/B2xmEwmFBUViZIngp+GvzFS9CDUfbxpHeyt9JT17MycOXMQGRkJi8UiDsdpNBooFAq0trYiLy9PdGIsLi4Gx3FiHjgqKson7pW+RmUlib17R97lLl5MY9Ei/t7esEEJmiawfDlt18bLccC6dSqUl1OIj2fxxhv2nWLeWqwpCnj2WSMWL1bj66/l+PlnCy6/3OKUWDo7J4MgmlBbW4uBgYFh/UmEVuNAIRZh3fEXsQSisjEwDtqNPYE/ayzCFH1ERARmz54NmUzmkRClN0CSpNP3bTAYcPDgQcjlcq9aB3sjFWY2m1FQUACz2SzOzjgjK47j7ArJfX190Gq1aGlpQWVlJYKDg0WSCQ8PD4ho5p13XItWrr+ej1by80l8/TXfXvzgg/YF+w8/lOGjj+SgKH4CPy7O9vP09gDx1Kksrr7aghdfVGDDBiX++suAqVMZlJXZk+Vvv0Vg9Wq+ViroXwn+8QRBiLLxkZGRAdcRJhTu/UGEUsTiZ/gjYrFOKU2cOBGpqanizeSpdP5o4SwV1tHRgcLCQqezP6M95mgilr6+Phw8eBBhYWGYM2fOsGkRZ5a/gvR4eno6LBaLGM2UlpaCYRhERESIaTNXmj/8DYYBPvlk5EctI4PFySfz9/Vjj/Ebg3PPpTFpku01b20lcMcdfPr4rrvMWLzY/lnwhTLFrbea8PbbchQXU/jmGxnOP5/G/ffbE8s338gBGAEAQUFBSEpKQlJSEliWFf1Jjhw5gsrKSiiVSnAcB61W63VbX1/AX4V7juPGvN14NJCIxQFomkZxcTF6enocppTGMmKxJhaO41BbW4u6ujqfWQePJhXW1taGoqIil2d8XDmWXC63UYTV6/XQarVoa2tDVVUVgoKCRJIZLwvVX39RotXwcLj2WjNIEjhwgMQPP8hAkhxuv902WuE44MYbVejuJjB7NoObbnLsg+ILYomKAq65xownnlDi0UcV+PjjAdx/v+PIWKslEBVley1JkkR4eDjCw8PFTcLhw4dRX1+PyspKmEwmaDQaMZoRlJrHE/ypa6bX6wPS7x4I0FSYL4v3fX19yM/PR1BQEPLy8hx2J42HiMVisaC4uBh9fX0+tQ72hFisCW/69Oluq6W6uihaOzFOmDABNE2jq6sLWq0WFRUVYveekDZzxxZ2pOO6g48/HjkNptFwuOgiXqbl8cf5xfr88+2l7D/+WIbvv5dBLuewebOzCXzOo/N0BdddZ8aWLQqUlVHYt4/C4sU0du60P4k9eyiceurw6Wq5XI7w8HAoFArk5ubapM3q6+tBUZRNNDoeOgWduUf6AlKNxc/wVcRy+PBhlJWVjbjDHuuIRa/X4+DBg1Cr1cjNzfXpA+fu7IwQ7fX29rptF2CtTebJoiiTyRATE4OYmBgxlaDVatHZ2YmamhoolUpERUUhKioKGo3GL5JAAwO8de9IuOwyM0JC+Gjlxx9loCgOt91mG63odMAdd/Cks369GVOnOr4uviSWiAieXB59VImNGxW45hqLQ2L5+mvZiMQinKtQs7CWjRckZ3Q6HZqamlBWVia6LUZGRiI8PHxMolF/DUcK968UsfgRFEXBbPbcCnUorOVkXJmiH8uIxWg0Yvfu3UhLS0N2drbPUwXuRCxCA4GwA3WX8Lz5XghiUBsrNTUVDMOgq6sLOp0O1dXVMBqN0Gg04m7YWunXm/j+exn6+oZ/XZLkcNVVfLTy1FP8Z3beebSN1TAAPPywEjodiSlTGKxb5/z+9/WQ6TXXmPHsswpUVFCIijJDLudgsdi+x/ffl+Pll40jvpYzAUpryZnMzEyYzWbx+pWXl9tEo5GRkV51WhzpfP1BaCaTCTRNS8V7TzCarjBvRQwGgwEFBQWikrIrxd+xiFg4jkN7ezv0ej1mzZrlVEvN23CVWLRaLQoKCpCQkIDJkyePalfni4WRoihER0cjOjoaAH/dhSaAQ4cOQS6XiymzyMhIp9GMu+fmijz+8uU0kpM5VFcT+OYb/rhDayeFhSTeeIN/rf/+1wT5MC/ry4gFAMLDgQsu4D1ZPvlEhiVLGPz+u/3nZbFg2PMEXK9ZDHVbtL5+tbW14vUTvuQjHdhD+FOAEoBELP6Et9qN29vbUVRUhMTERLcWQ4qiYLF45pbnCQQ3SkE7yF+kAoycCuM4Do2NjaiqqsKUKVOQnJzs0us6ml3wp0y/ddqFYRhR6beurg6lpaUICwsT02aeFpG1WgI//zzy7lZwXnzxRQU4jsDJJ9OYPNm6SQO49VYVWJbA2Wdb7Bweh8LXxAIAV17JE8s338hw/fVmh8RSUUFi+vSRB3rdXaito9GUlBTx+gkumqWlpQgNDbVJm3mLDPwVsej1ejE9GIgISGIZbfGeZVnU1NSgoaEB06ZNc1u9058Ri2AdHBYWhkmTJqG+vt4vxxUwXMTCsizKysrQ3t7uFQ+aseoAoihKXIQAXsdMq9WKC5X1z91JgX7+uQw0Pfx7Sk9ncdxxDDo6CLz3Hr/LvvFG22jl009l+PtvCsHBHB5+2HVZel9+nlOnsmLhvrXV8aJ94AA1IrF4w4tl6PUzmUxiE0BJSQlYlrVJm42micNfEYvQajzeuuJcRUASy2hSYSaTCYWFhTCZTMjNzfUo1PRXjUVoJhCsgzs7O/1e23FGLCaTCfn5+WBZFnl5eW7L8gyHsRaiVKlUNrMXwm64sbERer1enL2IiopCWFiY04fflTTYFVfwLcZbtshhMhGYO5dBXt7gvW0yQVQtvukmM5KSRv5s/BGxAMDq1Xzh/vffKWRlsaipsV1wP/xQhssuGz6y90X7rlKpREJCAhISEsSWdMGuubq6GkqlUkx7jiQ54+h8/RWxSMTiIfxdYxGm6CMjI0cc1hsOvo5YBFvmI0eO2DQT+EIQciQ4OmZPTw8OHjzosmGYO8cabxhaRBYkZgwGA5qbmwHApjYjKB7U1xP4++/hPxeFgsOKFTT6+4FXX+WL9jfeaLYRcHz9dTkaGkjEx7O47jrXGlb8RSynn04jOppFWxuJuDj752HXrpGfL19P3lu3pKelpYFhGHR3d4sumgaDAWFhYTaSM8Odjz9rLIHaagyMg4jFkzkJd4mF4zjU19ejpqbGboreE/gyYhnOOthbnvfuYOjkvWBslpWVhQkTJni9kwsY+4hlOFAUhaCgIKSnp4vimVqtFocPH0Z5eTlCQkIQFRWFDz6YMOJr/ec/NKKiOGzZIkdXF4H0dBannz5YO+zpAZ54giecu+4yw9V1xl/EolAAZ55J49VXFU4730Yq4Ptz4BDgr59QOwP4tKeQNmtqagIAu7TZ0PP1p2T+eNxsuYIxJxZP4A6xWCwWlJSUOJ2i9wS+ilisIypHkcBYEItA/BzHobKyEs3NzV4zNnP20IxnYrEGQRDiJHlGRoaNC+O2bSMvCKtXW8AwfNEeANauNcP6kj/7rAI6HYmJExmsWOF6s4gvpu6d4dxzeWJpayOgVnMwGGyPW15OYsYM5/fsWPvdq1QqJCYmIjExUdSl0+l0aG1tFZUcBJLRaDR+s0SXIpYxgKtdYcIUvVqtdjpF7+nxvbnAcxyHpqYmVFZWDmsd7E83RwEEQcBiseDAgQMYGBhAbm6u1274oe8lUHdnAgTxzP7+BNTWDl+7mzqVwcKFDL77Tob6ehKRkSwuvniQPLRa4OWX+fv1/vvNDifsncGfxLJgAYOUFBZNTY6jjt27qRGJZbyIUFrr0lkrOVjPPslkMoSGhqK3t9dOqdmbEGosgYoxJxZPU2GCk5uzm1IofKenpyMzM9OrN4A3IxaGYVBWVoaOjo4RrYPHImJhGAbNzc3QaDRYtGiRz+YDgMBIhQEjE+AXX4z8GS1ZUoaioh4899wsAMBll1lg3Vn64osK6PUEZsxgcNpp7rXW+/PzI0ng7LMteOYZx5phb70lx5o1zqOt8axubK3kAPBKzUVFRWLjCkmSNrMz3rRzCGRlY2AcEIsnEEJRR4U0weO9ra0Ns2fPFgfivAlvDWgODAwgPz9fHM4cqbPK38TS3t6O9vZ2hIeHY86cOX7bBY93YhkJX3wx/GOlUHC48cYY1NSosHt3CEiSw6xZf6OqKvh/UvKR2LKFj1bWr7ct5rsCf0YsAHD22bRTYikpGb4eMdapMHcQFBQkDmrGx8eLdg6HDx9GRUUF1Gq1TdpsNLUYb7tH+hsBSSzCBWMYxmYH7ckUvafHH+0CL0yqx8XFuWwdLKTCfL1wcByHQ4cO4dChQw7NmXyJ8e57P9K51dYSKCwcfkE59VQaKSnBePZZPjo9+WQLFi9Ohk6nQ1VVFd54Ix19feGYPHkAxxzTA45zT67E38QyYwaL9HQWdXWO7+HhrIrHc8TiCEKWxFqpOSMjAxaLRUybCQKo4eHhHksGSamwUcKTB4AgCLt0lDBF7wtPkqEYTSrMukPNXetg4T35sjOFYRgUFxeju7sbCxYsQEtLi18X+kDZvTqDK2mwiy+2oK8P+OAD/nfXrKHFlItWy+G77/id6iWX1GH//looFAq35y78+TkSBHDSSbRYExqKw4cJJCc7H7L1RzHcW3D27MnlcsTGxiI2NtZGckan06Gurs5miNMVpeb+/n6Eh4f76m34HIFzRYdAKOCzLIvq6mo0NjZ6NEXvCTxNSdE0jZKSEnR3d3vUoeZrYhFScxRFITc3F0qlEq2trWOiixao+Pzz4R+phAQWxx/P4I035OjrI5CdzeCYYwY/35deUkKvJzF9OoO1a1PAsono7u4WNbEEq19hJ+xIbsbfEQswPLGUlpJITnZ8DwVSKgxwbY5lqOTMcErNzlxQDQYDkpKSfPlWfIqAJpaBgQFUVlaKlrf+ykm60jwwFNbWwcKi7S6sicXb0Ol0YmpuypQp4rH8nZoa76mw4VBTQ6CoaHjCv/BCC0gSeOUVPlq56iqLmCbq6RnsBBNqK0PnLgYGBkS5GcGzRCAZQXxxLIhlyRIGwcEc+vvtj/vTTzKcdJJzYgmkVJgnfiyOlJqFaKa0tBQ0TYuzM2FhYQgNDUV/f7/XdMK2b9+OTZs24cCBAzhy5Ag+//xz/Oc//xF/znEcHnjgAbzyyivo6urCwoUL8eKLLyInJ8fjYwbOFR0CgiBQWloKpVKJRYsW+bXQ5e4C39HRgV27diEqKgrz58/3uHtEWCy8TSyNjY04cOAAsrKykJOTY/Og+3La35kVcaDC1TTY9u0UKisphIRwuPDCwY6pN9/kBw2nTGGcepkEBQUhOTkZM2bMwNKlSzF16lTI5XLU19djx44dOHDggJi+9CdBK5XAscc6PudPPnH+uQRijWW02QKhLX3q1KlYvHixqLOn1WrxyCOPIDs7G01NTaiqqoJOpxv1Off392PmzJl44YUXHP78iSeewFNPPYUXXngB+/btQ3x8PE488UT09fV5fMwxj1jcXUiEGsXAwACSk5ORk5Pj98VIuLFGWnC9bR0sKAJ7a6FnWRbl5eVobW112uo8FrMzgRqxjNQNtnAhg+xsDo88wi+0559vgWD8aTIBL73Ef/+GG3j9sJFg3e6alZUlTpG3trbCbDZjx44dNnIzvnZgPOkk5n9+97bo7nb+fAZaKszbERZBEAgJCUFISAhSU1ORlZWFxYsXY9OmTfjpp5+wdetWzJs3DxdddBFuvPFGj46xfPlyLF++3OHPOI7DM888g7vvvhtnnXUWAOCtt95CXFwc3n//faxZs8ajYwbOVgH8FH1+fj4aGhoQFhaGiIiIMbkphRtruNqDcK6HDx/GokWLvOZH762WY7PZjH379qG7uxt5eXlO52fGIhUWiHAlDbZihQWdnQS+/ponoMsvH4xWPvmEVwlOTGRx7rmeWUIIU+QTJkxAUFAQpk+fDpVKhaamJuzYsQP79u3DoUOH0N3d7ZMo9MQTnZ+3s8MFUiqM4zifa4WFhITgjDPOAAA888wzaGpqwrXXXuuzDrG6ujq0trZi2bJl4veUSiWOPvpo7Nq1y+PXHfOIxVX09vaioKBAnKIvLi4eE3tgwHFXmjV8aR3sDWLp7e3FwYMHodFoMHfu3GG7csYiFRaIEctIabCgIA5nnmnBW2/JYbEQmD2bESfSWZaXbwGAa681Y7S3i1Bj0Wg00Gg0Yl5fqM0IQppCtBMVFeWV4b7ERA6ZmSxqa+0X3oYGAunp9tc1kFJhwnPga60wjuPEAcnExESsXLnSZ8dqbW0FADuPp7i4ODQ0NHj8umNOLK7sUJubm1FeXi7KxxME4TPfe1fhbJaltbUVxcXFmDBhArKysry+Ax9taurIkSMoKSmx+SyHw1gs9IFILCP52v/f/9EIDQW2buUJyFpO/scf+ZpLWBg3osy8K3BUvFcoFDZS8sJwX0tLCyorKxEcHDxsl5KrWLqURm2tPTMWFVFIT7ePaAIpYvEXsQAQTf38BW93Fo45sQwHa7mToVP03nKR9BRDIxaO41BVVYWmpibMmDHDZy6PnkYsHMeJbdkzZ85EbGysy8eTUmG2GHqOdXUjD0VefLEFu3dTqK7mDbvOOWeQQIRo5YorzGLNxdvnOPRngiZWaGgG/viDw19/mdDcbAFB9EOjaURengVz56oRFWWv8DsclixhsHWr/fd/+YXCGWc4JpZAuObAILH4SzbfH8QSHx8PgN8QW49qtLe3j2oNG7fEYjAYxJkKR3Ino3WRHC2sIxbBOthoNPq8Q80TYqFpGoWFhejv73f7/HyVChMsjQcGBhATEyMaZo33VJijc/vqq+Efo8REFkuXMrj6av4ePuccC0JD+Z/t3Uti1y4Z5HIO11zjHbvrkXabNM2f85YtcuzZQ4HjCAChNr+zeTOQmDiAM86owqmndiAhwTWpkiVLHD+T338vA2DvfhlIqTChvuJrIhQGLP0xeZ+eno74+Hj8/PPPmD17NgB+Pfvzzz+xceNGj193zInF0UVqa2tDcXHxsFP0/vadHwohYunp6UF+fj7Cw8ORm5vr8ylid4mlv78fBw8ehEqlQm5urtsikr5Y6FmWRUlJCbRaLcLDw1FUVCQ6MjIMM6bX1RN8+eXwn+m559Lo7R1Ml61cOfj+nnuOj1bOP59GQoJ3PufhiOXHHymsX6+yqYNMn84gJ4dFXByH/n6gtpbE7t0UWlqCsHnzTHz3nQUPPFCNuDheqkSYuYiKirKz+XVWZ2lvd0wegZQK85fJ18DAAFiWRWho6Mi/7AL0ej1qamrE/6+rqxPtOVJTU7Fu3To8+uijyM7ORnZ2Nh599FGo1WpcdNFFHh9zzInFGtZT9NOnTxfDNEegKApGo9GPZ2d//M7OThw+fBiZmZlIT0/3S0jvTgTR2dmJgoICJCcnY+LEiR49FN5OhQnKsBzHYcGCBaLukmCYRdM0iouLERYWJg4G+lOrzF0cPkxg//7h02Dnn2/BRx/JYTQSmDaNwdy5/PWrqxvsELvhBtfcIV2BI2Lp6gLWrVPh8895EoyMZHHVVRZceqnFodyKwQC8/bYcTz2lQEODHKtXT8HGjem46KIeaLVadHZ2oqamBkqlUrxOGo0GMpkMS5Y4rrM4QqClwvxl8gXAa5mP/fv349hjjxX//+abbwYArFy5Elu3bsXtt9+OgYEBXHvtteKA5E8//TQqYhs3xGI0GlFYWAiLxeLSFP1YFu9ZloXRaIRer/eZgrIzuBKxWOuRTZ06dVTSEN5MhfX19eHAgQOIiIhATk6OGJ2wLIuQkBCEhoaivb0d6enpYBgGWq0WjY2NNtPnkZGR40pbaqQ0WE4OHw1ceSWfBlu5cnDSfssWBTiOwAkn0Jg82bv+PtaL9d69JC6/PAhNTSQoisO111qwfr0Jw60bajVw9dUWnH++RSSkW24JgsFA4MYbg5GamgqGYez8SoQuNMD+njOZ+EFKa0gRiz36+/tBUdSIaueu4phjjhl2c0gQBDZs2IANGzZ45XjAOCAWgiBEOZHo6OgR218FjFXx3to6OCMjw6+kAoxMLAzDoLS0FFqt1iuOmd5KhbW3t6OwsBAZGRlIT0+3KYQK8wHA4KIYHx+PxMREUWdJq9Wirq4OpaWlolZWVFTUmNu3jtQNdv75NPbtI1FaSkGl4nDeeXwarLcXeOcdPnq49lrvRSuAbR3oq69kWLVKBZOJtz7eunUAs2e7TmIREcDWrUZkZbHYtEmJe+9VISQEWLXKAoqiEB0dLT4DgvBiWlobHBFLYyOB7GzbeymQaiz+jFjUanXAfC6OMObEYjabkZ+fj+zsbKSkpLi8SIxFxCJYB0dFRUEmk/nlJhuK4YjFaDQiPz8fAJCbm+uVHc9oU2HW0dP06dMRFxcHhmHAcRwoioJMJgPLsmAYBlVVVaBpGkFBQeKmQehgCg8PR1ZWlqiVJRCNQqEQSSYiIsKv16StjcDu3c6PRxB899djj/Fpof/8h0ZEBP+z997jRSgnTmRw/PHevY8Fcn75ZTnuuEMJjiOwfDmNV18d8KjrjCCAe+/l1QA2blTittuUmDyZxeLFtuetVquhVquRkACEhHDQ622f5c8/b8R55zGIiooSxTMDKRXmr4jF363GvsCYE4tCocDRRx/tdnrDn11h1tbBEydORGpqKoqKivzu5gg4J5bu7m7k5+cjOjraTu9rNBhNxMKyLEpLS9HZ2Yn58+cjLCwMDMOI6Q9hQRGk+k0mExYuXAilUimSj0A6AuRyORITE5GcnAyGYUTl3+rqaphMJmg0GpFovCXi5wzffCP7X0eVYyxdyiAsjMO2bbazKywL0cjr6qsHU2PeAsdxePvtVLz+Or+xWLXKjE2bTG7ZGzvCXXeZUVNDYts2OS69VIW9ew2IirK/NygKmDOHwfbttgcsLEzC8uWlaGhoEGXkh17f8Qx/RiyB7MUCjANiASAqsroDf0UszqyDvWlP7A4cRRDCAGl2djbS0tK8ugP0tMYiRKIMw2DRokVQKBTi52VNKoI5W1BQEObPny9uMKyFPoVUGcuy4pfwOxqNBhEREcjOzhajGaGwHBQUZFNY9ibZAq6kwSzYtk0Og4GPTHJz+ff/448UDh0iodHYilB6C6+9FoHXX+dnEO65x4TbbnPfhdIRCAJ48UUjyspIlJdTuPVWJd5803EDzdy59sTy449heO+96TbpTYAvLoeFhYmdZkLr+XiDvyIWg8EAtdo9c7fxhnFBLJ7AH8QynHWwN1wkPYF1xMKyLCorK9HS0oI5c+aI0urehCcRi16vx4EDBxAeHo5p06aJ5wrYDpd1dXWhsLAQCQkJmDhxosMHSfh9a+FPgWSEiEY4T6VSiaSkJKSkpICmaXR1dUGr1aK8vFyUJheIZrRpQq0W+Osv57tXpZLD//0fjTPO4KMm66L95s0K8Xve3pi+9JIcTz7Jk8p995lw663erd+o1cDmzUYcf7wa27bJcc45tEMl5nnz7J8Ns5n/AAQZ+bCwMDQ2NmLhwoViV2BzczMA2IhnetNLfjTwV8QipcK8BE8WL18X7wXr4Pj4eBt/EgFjGbGwLCsOZZpMJuTm5vos7eNujaWjowOFhYVIS0tDZmamGGEMHSxraWlBeXk5Jk2ahOTkZLfOx1k0Y309SJIUSYQgCPT396OzsxOtra2oqqqCWq1GdHS0uEN2dyf63XcyMIzzHeUpp9BobCRx8CAFuZzDBRfw92pZGYk//pCBJDlceaV3F/1PP5Vh/XqeMC+/vAm33qrx6usLmDOHxQ03mPH000rcfbcSJ55I2+mbzZ498rMhbAqUSqUoN8OyrI2XfHl5OUJCQsRr6cm18hb82RUmEcsYQYhYvG1qZF1snjJlitNFb6y60kiShNFoxO7duxEaGopFixb5tP3WVdLnOA4NDQ2orq7GtGnTEB8f77CewnEcampq0NzcjFmzZo0qyhopmrFuAAgKCkJqaiomTJgAi8UCnU4HrVZrI8goLF6uiIaONBR5/vkWvP02/zunnkojJob/DF9+mf/e6afTSE313nzQ7t2UONm/YoUWq1c3A9B47fWH4tZbzXj3XTkOHSLxxhtyXH21bUovKYmDRsPZSeZzHMTITbivrBfroV7y1qZYxcXFYFnWRjzTWy25rsCfEYtUYxkjCIupNy+2tXXwggULhvWcHquIZWBgAJ2dncjIyPCJyOVQuFJjYVlWrEONVKQvKSlBX18fFixY4PWHZ2g0Y/01NJqJiYlBXFycjSDj4cOHUVFRIe6Qo6Oj7YYzOY5Dby+J3393fs9FRHBYsoTB1VfzGluXXsovulot8OGHQoux92or1dUELrggCGYzgdNPt+DWW49gYMD1+6K7GygspFBdTUKvJyCTcUhK4jB3LuOU/EJD+WL+TTepsHGjApdcYpvWIwh+ov+vv2yXmJ4eQOiAt05jOoNgihUfHy9eK8FzRog8BZLxZh3NEfxZY5GIxQvwZHEUyMQTq1BH6O/vR35+PhQKhUvWwf6usQimYZ2dnYiMjER2drZfjjtSKsxsNotzPcMV6Y1GIwoKCiCTybBgwQKfm045SpkJJDM0mgkODkZISAjS09NFeXkhFUoQhM1wJgD8+WcoLBbn9+xZZ1nwww8ydHcTSE5mceyx/OexdasCRiOBWbMYLFrknU2JVkvgnHPU6OoiMHcug1dfNaK9feQo3mAAPvtMhvffl2P3bsppWi8nh8GaNRZceKHFbrhx5UoLnntOgbo6Em+/LbfTOsvJYfHXX7Z/09xMQqMZrBEK+nCuwFo8U4g8retogtyMcL3cEc90BQzD+KXeI6XCxhCumG25ivb2dhQVFbklfeLPiEWQOent7UVSUtK48aAXfGdCQ0Mxe/Zsm+jG+jMUvHSioqIc1qt8DWcpM0ftzCRJIi4uTsz3C0XlhoYGlJWVgaIofPfdpGGPd8EFFjz0EL8ArVhhAUUBFgvw6qt8tHL11d7p0qJp4LLLVKirIzFhAouPPhqAWj287YDRCLzxhhz//a8CnZ2D12HCBBZTpzKIiOB/59AhEoWF/GDnDTdQeP55OZ5/3oS8vMHPSibjpWhuukmFF15QYPVqC6yl6KZNs994FRSQ4vdHO3Uvl8sRGxuL2NhY0cNEq9Wio6MD1dXVUKlUNl2Bo92A+kslQK/X+6QRx58IWGLxhifLaKyD/RWxGAwGHDx4UIykmpqaoNfrfX5cAc5SYYIOmWCnau2uZ70DbWtrQ2lpKTIyMrzeCu0pnDUACD7x1tFMaGgowsLCkJmZCaPRiL//LsXff2ucvvaECSyiozls3y4DQXBYsYLfxX/1lQwtLSRiY1mcfbZ3anP33qvEn3/KEBzM4cMPBxAbyxOKs7rjDz9QuOUWFZqa+Peelsbi8sstOOssC1JSOLS1EdDpCFAUkJDAguP4Qc5nn1WguprCKacE4dFHTbjmmsEOt4susuDRRxVoaiLxxRcyG/fLnBz7Z3PnThlWrKDF8/RmC7hg8ZuWliZ2Bep0OlRWVsJsNkOj0YhpM0/aef1VYzEYDEhLS/P5cXyJcUEsni42oyEWi8WCoqIi6PV6LFq0yG3BNX9ELEI6JiEhAZMnTxYXRH+m4BylwhoaGlBVVYWcnBwkJCQ4LdLX19ejrq4O06ZNc9n/xd9wJ5qRyWQ4eDAeZrPzxeXkkzuxdSvfoXfccYM1CqHFeNUq+5SSJ/jwQxlefJF/zZdfNmLq1MF7Yiix6HTA7ber8PHHfDiRmMhi/XozTjiBxpdfyrB2rQr791MwGGyfw+RkFiedROO114x47z05PvxQjvXrVejoIHD//XxHW1AQsHq1BY89psTWrXIbYpkyxf4+/eorGTZv5v/ty6l7mUyGmJgYxMTEiDL0QsPGoUOHoFAoRJKJiIhwqQHGn11hvh7u9TXGBbF4Ck87s/r6+pCfny/aHLsrJS8c21cLvOBVUlVVZdeZNlbGW8JuvqKiAq2trZg3bx7Cw8MdkopQzNfpdJg/f77X5L/9geHamWmaxu+/Rwz793l5TVi3LgcAcOKJDdBqKdTWRmHvXgoKBYdVq0ZftC8oIHHDDXw31K23muwMtKyJZd8+EpddxgtQkiSH666zYPlyGi+9JMe6dUqw7ODCTlEcIiM50DSBri4Czc0kXn9dgddfV+Ckk2hceaUZr76qwJNPKhEWBtx0E08ul1xiwcaNCvz1lwzV1YN6YGo1kJ7Ooq5ucDHu6xs8nr9SS0IdLTg4GCkpKTaKDbW1tRgYGHBJf85b9dyRINVYxhieRCzesg72VcQiLMrt7e2YN28eIiJsFzJ/RyzC52MymUTZlUWLFkGlUjks0gvzNSzLivIsgQrraIamaRw8WI49exY6/f05c2golVOg06kQGcngqKO6UVHRgccfnwYgFMuX9yA01AzA86JyZyeBiy8OgtFI4MQTadx9t7NZGAKbN8txzz1KWCy8AOVdd5nw6adyPP/84G54wQIGZ59twTHHMMjOZkXZl95eYM8eCh9/LMe2bTL8+COfcps3j8H+/RQ2bFAgJ4fBsmUMkpM5nHgigx9/lOHttxV46KFBQ6/sbFtiscZYCVBaq2UDEBUbdDod6uvrbX4eEREhbjz9KekiEcsYwh29MMHrxVvWwb6IWASvEpZlHbpmAv4nFuHB37t3L0JCQrBw4UIQBCF+7tZdPXq9HgUFBQgLC0NOTs6YiHT6AoK45969CTAanT8yZ59twptv8ovQRRfRmDZtIlpaJmLnTn6ROPXUWuzZcxhqtVpcuNzxl7dY+GJ9UxOJjAwWr78+AEcfsckEPPTQBHz3HX//nHQSjQkTWFx3nQpmMwGK4nDeeTRuvtmMSZMc30thYcCyZTxx3HEHgeuvV2HXLpnoPcNxBFavDsKePf1ITORwySUW/PijDNu2yfDAAyYIbykri8VPPzl+P+NFgDIoKAjJyclITk4Gy7Lo7u6GTqcT1bQFuRmz2eyX85Xajb0EX9dYfGEd7O2IpaenBwcPHkRkZCSmTZvmdFH2N7F0dXUBAGJiYjBp0iSnRfrOzk4UFxcjNTUVGRkZ42LB8AaEtGlUVBSKi523eMtkHI46isV99wnEMgCzmcGWLWrQNIHcXBoXXDARNJ0h5vpLS0vBMIzNcOZwEd7ddyuxfbsMISEcPvhgAI4cETo6CKxZk42iohBQFIezz6axfz+FH3/kH/Xjj6fxxBNGZGdz4Dhg/34SO3dSyM+n0NhIoqeHJ43YWBbTprE4/ngaxx3H4NtvB3DvvUq88MJgm3h3N4FbblHi/feNOPFEGiEhHJqbSezbR2LhQv4ezc52fq+ORy8WkiTFAcysrCwYjUbxeplMJpSVldm0n3u7bV7obguk9LEjjAti8RSu1Fh8ZR3szYilpaUFpaWlyMrKwoQJE4ZdlP1JLI2NjaioqAAAZGRkOJVnaWxsRHV1NaZOnYqEhAS/nJs/oNVqUVRUhNTUVCQnZ/zPt90xTjqJwa+/KsEwBBYtYpCTQ6KvD3jzTZ4orr56AGazGSRJIjo6WmyR1ev16OzsREtLCyorK+3kS4TP+d13ZXj5ZX4Re+UVo8PCeHk5ifPOC0JDA4mgIAYzZ3LYto2XnklMZLFpkwmnnUajqYnAffcp8OmncjQ3O17Ya2pI7NoFvPKKAjExvITL/febEBzMYePGQfL79ls5vvmGxumn85phH30kx7ZtcixcyKfDHBHLwABf9B+PxDIUKpUKiYmJSExMxPbt28XuwKamJpSVlSE0NNTG6dQb70dKhY0xRopYDh8+jLKyMp9YBwsRy2gkZTiOQ1VVFZqamjBr1izExMSM+DfedHR0Bmtxy7lz52Lfvn2gaRoEQdgV6auqqtDW1oa5c+eO2lRsPEHQMpsyZQoSExPx448kenqcX+eLLmJw7718tLJyJQ2ZTIaPPpKhu5tPW512GguCIO3amdVqNdLS0sThTGF3XFhYCIIgEBkZiaamJKxbxzdw3HknTw5D8fPPFC67LEgsjlMUsGcP/3ife64F//2vEfX1JC69VIWvv5aJRfuQEA7HHENj3jwWkyax0Gj4SKa5mcC+fRS+/lqG1lYS996rwrvvyvHaa0a0thJ4663Bnfq99ypx8sk0zjqLt2D+5hsZNm40gSD4VNhQtLcTSEvjvC7H5GtwHAeNRoPg4GBkZmaKw7Q6nQ5FRUWiNJAQgXpaXzQYDBKxeAPeToWxLIuKigocOXLEZ9bBQqrK04fDYrGgsLAQAwMDyM3NdTmn6uuIRTgvIW2oUqlAURTy8/PF9s2wsDBxaNNkMmHBggVen3IeLTiOH/Tr6QF6ewn09hLo6QGMRgIGA1+HMJkImEz8oKFMBgQHcwgO5tDT04auLh2mT1+A7u6w/81zOH9UIiM5qNUcDh0iERrK4ayzGDAM8MIL/N9cfz0NlWqwADzccGZsbKwoX9Lb24uysm5cc00szGYCS5Z04PzzW9HXN2iUxXG8/tidd9p2eOn1FDQaDk89ZcTMmQxuvFGFL74Y7H489lgaq1dbcOKJNJzJbV1wAY3HHzfh449luP9+JSorKSxbpsaLLxpRXMzg4EH+GTh0iMTWrXJcfLEFSiWfDqusJDF5MouEBPsOxvp6EmlpTEBELAKsU8ACFAqFKJ5pLQ3U0tIiSgMJJONqLY1lWcmPZazhiFgE6RCGYXyq+mstKePuwyFMrAcHB2PRokVutTv7klgMBgMOHDgAtVotFulZlsXixYtFn5ODBw+K0/hBQUGYPXu2X4UAAZ40tFp+QSsvJ7BzJ4W//yZRU+OtRSrtf1+uQacjcN11/A7+7LMZhIQAX3xBoa6ORFQUJw4EAsMPZw71mpHJQnD33fHQamWYPJnGM890ob+/D01NvFFWeHg0XnxxIt5/3/7znzdPj02bCLz1lhxXXqkCwxAgCL5of9NNZpu5l+EglwMXX0xj+XIaq1cH4ZdfZLjyShXuvNOM0lISJhNPZs89p8Dll1uwZAmDX3+V4eefKUyezIpRi/W1KS4mcfTRTEDZEgst/s5qn9ZyM+np6TZCp0ItTZCbiYyMdLoRMxgM4DhOqrGMJWQyGUymwdZGa+tgX3clWUvKuEMMgnxMamoqsrOz3Y52fDXHotPpkJ+fj8TEREyaNElc5ASfEyHPLKRp1Go1GIbBjh07EBkZiejoaMTExHg1cuE44MgRAkVFBL77jsLHH8ts5iDGE1pa+Pth61YZtm4dfKxiYzkx9TP0Ug+nzsyyHG65JQj798ug0bB4771+ZGbGgSR5qZnGxl5ceWU4/v7b1muYojhcdFEL1GoZTjstFv39/EFPOcWCe+81IyfHs01JZCTwyScDuO46Fd5/X45NmxQ4/nga333H3/sNDSS+/lqGE06g8euvMvzyiwzXX8/P7Awllr17KQCWgIpYrFvrXYFcLkdcXJwodKrX66HVatHW1oaqqirRhC4yMtJGbqa/vx8ApFSYNzDaVJgj62Bf526FWoOr0QPHcairq0NtbS2mTZvmcZHbFxGL4EA5efJk0fLXVQ8Vweeko6NDVJuNiYlBdHS0W620AB+F7NlD4e23KXzzzbi4NUeN8nISOTmDZLt0KYMrr6SRl2efJrKOZjZtovD++0qQJIfXXtMjLY2G0KdSXy/DhRcmorraduMUG2vEjBnt+PbbWOh0fBQzfz6NRx4xe0X0kqJ4B8nubuC77+TYvVsGiuJEActnn1XglVeMuPNOYOdOCno9EBICpKba3q+//TaoTB4oNRbhmfNksypIA4WGhmLChAk2JnQVFRWieGZJSQliY2Mhk8l8Nv+1YcMGPPDAAzbfi4uLQ2trq1ePE9BPr9AVVlJSYmcd7A+4usgLnu6uyPF765iugOM4VFZW4vDhw5gzZw4iIyPd9lARJprT0tLE8F8w+wKAqKgoxMTEICoqyi6yO3KEj0SefFKGhobA2LmOFn/9Rdk5Tz72mBmnnMIgM5OPat5+m8KGDfzCsnGjBcuXy8CyfLPITz+RWLMmGF1dtp+XRsNCoVDgl19SAQCJiQO47LJKLFzYhKCgCDQ3e0fxl6KALVuMOPZYyi71ePAghZ4eXoOsoYHEjh0UTj6ZQVqa7f3a2zvY/BFIEYs7SszDwZHcjFarxYcffoidO3dCoVDg+uuvx/Lly3HMMcd4PXrJycnBL7/8Iv6/LzI744ZYPHGRZBgGOp0OISEhTgcKfQlXZlkEe2OKolyS43flmN4gFpqmUVhYCIPBgIULF0KtVovdSp56qAwN/3t6etDZ2Ym6ujqUlJQgKCgShw6lYuvWeOzZ41vZfEcgSQ6hoXyRXqkEOI4BTZugUMigVCrAMHwrrNHIF/UHBjCsPL63cOedCtx5p/33b7nFgmuv5a8JTZN44AElnnnGcdq1u5tEdzdPMJdc0oArrjAiIyMDBkO8jeKvkIIZjX9JeDjw9tsDWLpUbSe3/+GHchx1FI133lHg7795YnHm6RJINRZfTd1by818/fXX+PXXX3H11VeDIAisW7cOTU1N+O2337B48WKvHVMmkyE+Pt5rr+fwGD59dR9C0PmhKAoLFy4cM2mI4RZ5nU6HgoICxMbGYurUqV45R6HGMppWTUExWalUYuHChTZNENa7stF4qBAEAY1GA4LQYMeOSbjxRgVo2vuLNElySEnhkJbGYcIEDomJHGJjbb/Cw3lCUakG3QuPHDmCsrIyTJ48GUlJSQCMdq/NccD11yvw5ptj85g8+aQcf/1F4qqraGzZIsO+fc4XNoWCw5VXmnDjjXrU19dAJksATdNQqVRITk5GamqqmILp7OxEWVmZWFAWLJrd2fRMm8Zi7VoLnn3W9p7Ytk2Ge+4x4513hFqKfSpMQCClwvwlQMmyLMLDw/H888+DIAjU1NS4pbruCqqrq5GYmCg+/48++igyMjK8eoyAIxZr6+Dk5GRotdox2/UMF7E0NTWhoqICkyZNQmpqqlePCXi+g+rq6sLBgweRkJBgM0kvzKgIGI2HSk8Pr757883ei0pUKg6TJ3OYOpVFTg6LKVNYTJzIITmZgzsaogMDHEpKmlBb24zs7LnQ6yNQUsK3HFMUoFAMflEUh23bnH/G991nxkMPycFxBP74w4iKCgJXX80vzsnJLMxmAu3to1s49+6lxAXaGc45h8YDD1iQlGRGfn4J5HK5uCMd2s4spCatC8pHjhxBZWUlgoOD3fKWX7/ehG3bZDZDljodKaa6DhygYLEAycmOIxZ/aW95A/6UzLeW9M/KyvLq6y9cuBBvv/02Jk6ciLa2Njz88MPIy8tDaWmpVz1gxg2xuJIKG2odzDAM2tvb/XSG9nAUsbAsi/LycrS2tvqk5jMaYhEGRidNmiSqvDoq0nviocKywG+/kbj6agWOHBkd0ZMkh6wsIxYs4JCXR2H+fBaTJnEOdbGAwe6xQ4cIHD7Mf7W08F9HjhDo6eHVent68L/22Mn/+xodHnxwkDhZFnjtNf5xOv10Gh9+aBbPKz+fxP79JHbt4uVOhBZdbyAoiMOppzIIDx/Avn0HoVarMX36dPHeHM5rRq1WIzg4WHRjFNpji4uLxWE/gWgcRavBwcAtt/BGX9YoKSFFv/uSEhIzZzqOWAIpFeaviEWv1/u0I2z58uXiv6dPn47c3FxkZmbirbfews033+y144wbYhkJjqyDe3p6xsR3XsDQiMVsNiM/Px80TSMvL88nQ4PWxOIqhAn/5ubmEYv07nqotLQQePhhOd56y/NbiSA4zJzJ4ZhjGCxebERmZhuMxg5otVrIZDIQRAx0umhERkairU2GgwdJlJYSqKwkUV1NoKqK92ofSxx33ODi+vXXMkycSCImBoiO5hATwyEign9/y5czOHSIQEEBiQMHRr8DHhggcPnlSgBKACcA4H1QzjqLxuTJfHowLY1CZCTAccMPZ8bExIj1McE5s7m5GRUVFXbSJcI9s2KFBf/9rwKHDw8uut9+K8OiRQx+/12GvXspzJ4d+Kkwfyob+3M4Mjg4GNOnT0d1dbVXXzcgiMWZdfBoHSRHC+vj9/b24uDBg9BoNJg7d67XNMmGwlpOxRXQNC0amglF+tF6qHAcsHcviQsuUHqc6omK4rB8OYOTT2Zw1FEMBqNwCkAigET09bH45RcDvvySRkGBDFVVcrGNdrzj8GEShw+PzbHLy0k88oh9hDF9OosJE1ikp3NIT2f+928aycm03XBmSEgIQkNDkZGRIUqXaLVaNDY2gqIocXYpIiIC119vxvr1g9dlYGDwnti/n8KaNRZERrLQ6QbJh+MCryvMXyZf/pxhMZlMKC8vx9KlS736uuOGWBztXIQ21/r6eoezH9ZzLGOx8xHSDYLHS0ZGhs+VfYXiuivEMjAwINoaL1q0yIYIPfFQoWngo48oXHWVZ51tqaksTj+dwemnM8jNHfT+EGA2A7t3k/jzTwrbt/PpI4slsAfFxhOKi0kUFwuL42BhKiKCw6xZDObOpXH88WbMnUuDJPn7S7AAj4uLQ0ICP5zZ09MDrVYrysrn5ERBqcyFyTS48B45wt9b5eX896ZMYbFz5+DPDYbASoX9UyKWW2+9FaeffjpSU1PR3t6Ohx9+GL29vVi5cqVXjzNuiGUoBOvg/v5+p9bB1rIqvooQhgNBEGhra0NPTw9mzpzpN/tdV6bvu7q6kJ+fj7i4OEyePFlMfwh/L8AVDxWLhZ8oX7fO/WK8RsNLt19wAU8mQzm3sxP48UcK339P4ZdfKL9O1isUHMLCeCFGiuL1w4xGAkYj/J5amzePwd13W3Diifxn1N8PfPMNhbffluGPP3y7oHV1Efj9dxl+/12G//5XhagoDueea8GqVUZkZNB2KbPw8HCEh4eLsvJarRbHHdeB778f9DhqaOA/v8pKEjTNT9/v3Dl4zO5uIqBSYf6MWHxJLM3NzbjwwgvR2dmJmJgYLFq0CHv27EFamusSRq5gXBKL4IERHByM3Nxcp5IpApmMBbHQNI2enh6wLOs1jxdXMdIsiyDDP3HiRKSkpDiVux/JQ4WmgTfekOGmm9wjFILgsGwZi5UraZx8MmPn8d7VBXz5JYWPPpJhxw7SRjxxNKAoDtOmdSEmpg/JyTQ0mh5MnRqBadPiERPDp99c6ajlOGDWLJVD7bGQEJ7Q9XoCp51GQ6slsHu3+wv/4sUMnn7ajMmTHTclBAcD55/P4PzzGVRXE3j9dRnefVeGri7PPquQEA4zZ7KYOpVFZSXfRGCdsrKGVkvg5ZcVePllBc45h8aGDSYxXTa0AUAulyMhIQHr1snx/feDrzEwwH92JhOBnTvbEBUVD2DwPuJTqIGVCvNXxOKKyrmn+PDDD3322tYYN8QiLGpHjhxBSUmJS9bBQlrI33UWoZEAABITE/2u6+OMWDiOQ3V1NRobGzFr1ixER0c7HHoEhvdQ4Tjgu+8onHeeeymviAgOl15KY/VqGhkZthGVxcK/5gcfUPjxRwpm8+jI5LjjGMyYwYrtx5MmcQgKAjhOierqRjQ0NILjNKiv78Uff3SBYaJgMmmg1wfBYCBgMBDo6+MJYqilz969zhdd60jmmmtonHoqX1s49VQaF1/MoLWVQGUlgbffljl9DYAXrvz6awoKBSN6xDtDdjaHxx+34L77zHj++S68+moEjhxxb1er1xP/M/QisXo1jVdeMePwYQI//UThhx8oFBY6XuA//VSGr7+m8OijFqxZQ4PjWHGjYt0AMHs2jfh4FVpb7V/n4EEL+vrqAEwXv9fWxiEmJnCIxZ+psPT0dJ8fx9cYN8QieIA0NTW5nFYS8r/+JJbOzk4UFhYiKSlpzEJ5R8QiyNj39fVh4cKFCA4OFutP7nioFBQQWLzYvW62rCwWN91kwXnnMRgqJt3cTODNN2XYupVyuOi4grg4DqecwmDBAgaLFrHIzh4UdGQYoLaWl4YpKiKQn9+P4uKJaG+f5dGx3IFAKgDfCfXtt/aPE+93wmDCBA4hIcCOHST27CFRXk7ioYcUeOghYMYMFhdeSOPii2k4GyXgOA4NDRXIze3AmjVz8PPPMvz3v3KUlLj3mRoMBJ57To4tW2S4/HIat91mwX33WdDQQOCDDyi8844M9fW2r2kyEbjlFgW2byfx+utmBAXZqjMLJHPKKWa88YZ9c4XBkIH58y149dXB7+3cWY0TT+xHd3c3NBqN31Uz3IW/UmH/BFtiYBwRS319PTo6OtxOK7niIukN8A92g7jLT0pKQmVlpV+OPRRDicVoNOLgwYOiCoFMJnNYpLdYLE49VHp6gKuuUrgl/jhtGovbbrPgzDMZu3TO33+TePppGb79lvIo1XXmmTROOIHB8cezSEkZ3NG3twNff01h504SO3eSyM8fuov0v1SMI0yZwuL66y04/3zGzu+kq4t/D9u2yfD77ySKikgUFSmwYYMcZ57JYPVqGosWDdajWJZFcXEx9Ho95s+fj6CgIJx7LoNzzmHw1VcU7r9fjupq9xY9k4nAyy/L8e67Mtx6qwXXX09j/Xoat91GY9s2Ck88IRcL7wK+/JJPxX38sQmhofbqzGedxeGNN+yPVVEBzJ1rG5URRBZIshU9PT3YvXs31Gq12M7srnipP8CyrNdtiB3B13Ms/gLB+UKD3QNYLBaYzWa3ayXbt2/H1KlTfWLmJYBhGJSWlkKr1WL27NniLr+mpgYDAwOYPn368C/gZezYsQMTJ05EbGwsuru7RROuKVOmiINwgG2R3mAwoKCgAEFBQZg+fbr4OXMc8OGHFFavdk/O4/77LVi+nLEpxnMc8OOPJJ5+Wo4dO9xLG5AkhyuuoHHmmQyWLBnsGDMYgO3bSfz0E4VvvqFs5iVGQlISC6WSj2qE1+M4/gvgfepNJgYmEwuLBSBJoLNz5J3zyScz+OGHwfd33nk0CgtJVFUR4DhbEo2M5HDUUQxOPZVvrR46L9vZCXz+uQxvvCFDUdHge5s/n8Gtt9JYtsyE4uJC0DSN2bNnO1zcLBbgrbdkeOQRucft36mpLJ55xoyTTuI3LDQNbNkiwwMPyEXpfQEnnMBg2zaTw66+xMQguxTgnDk0Nm7sx4knDoqvnneeGatX/4ns7GyEhYWJUjNardal4Ux/o7S0VBwm9SWOP/54rFu3DhdddJFPj+NrjBtiYVkWFovF7b/btWsXMjMzERcXN/IvewCj0SjWU4aaWh06dAi9vb2YNWuWT47tDLt27UJGRgY4jkNJSQmys7ORmppq43JnnaLr6upCYWEhEhISMHHiRPFn7e38YF9dnWuLdVISi/vus+DCC20jFI4Dfv6ZxIYNCqe5emdYuZLGeefRNmSi0/HF/a++kuGnn0YmqKysXshkJOTyINA0XzNpayNEaRFf4sQTGcyfz2LWLBYZGSy0WgJ795LYvp3Crl2kzaJMURyWLGFxzjk0zj6bgbXINccBBw6QeO01GT75hILRyP/dhAl6rFzZjHXrEqFQDL/p6ukBHnyQT3MNJThXcemlNB5/3CyeW2UlgYsvVtpFL9ddZ8ETT9g/r//3f0r8+qvtNYuO5vDrrwbMnDmY4lm40Iz77vsFkyZNQmRkpGgZYO3EqNVq0dfXh5CQEBupmbFIPxcXF0Oj0SAlJcWnx1m0aBEeeeQR/Oc///HpcXyNgCeWv//+GykpKV4XagMgRgPR0dGYOnWqXfGuoaEBWq0Wc+bM8fqxh8Pu3buhVCqh0+kwY8YMxMTEuOWhAgCff05hxQrXopSQEA633WbBddfRGComsHcvifvuk9tJwQ+H+fMZXH45LbotAoPttZ98IsP33zt/rfBwDnPnsqBpYGCARnMz7XYh25dISmJx1FEsjjqKweLFLDo6CDHaKi0dXJxVKg6nn87g0ktpHHusbRt2Wxvw7LMEXn1VDoOBJ5O5cxk89pgFixePPL908CCJtWvdJ3kB6eksPvjAhOnT+aWhpwc45xwldu2yvS5ffGHEiSfans9TT8lw7732EUZV1QAmThy8eSIizNi2bSemTZtmE1kL96+gXWc9nKnT6UAQhEgykZGRbpnsjQYFBQWIiYn5n2Cpb8BxHGbMmIHXX38dxx9/vM+O4w8EPLHs378fcXFxXt9JCOZX2dnZTvWympqa0Nraivnz53v12MOBYRj8+eef4DhOlLF31E5s7aEyY8YMUWDOYAAuuMB+V+kMZ5xBY9MmC5KSbG+TlhYC69fLsW0bv/ARBN82O5yC8Xnn0bjhBgtmzx58rfJyvpV282bnC8QJJzBQqzmYTHzH1dDi8njGlCkszjiDwemn0wgL4yOx996T2UQAQ+sxfX19OHjwINTqRPz88xQ8+6xc7EZzdj2GwmwGHn1UjieflHlU41KrObz+uhn/9398ra6/HzjtNKWNIGZyMov9+42wHjHbu5fEscfapxN37x5Abq7trqS3t08cMhY2RtapXIFchP+yLCtKzWi1WvT39yMsLEwkmpCQEJ9FMwcPHkRiYqJP5eY5jkNmZia++eYbLFy40GfH8QfGDbFwHAez2ez23+Xn5yMiIsJruU+hO62lpQUzZ84ctnbT0tKCpqYmv90EQpHeYDAgIyMDEyZMcCh3b+2hMnv2bLHLpKaGwMyZrnV8JSfzOffly4d2nwGbN8vw8MP8YkeSHIKDMexg4w038NGOoHLLsnzr8QsvyJxGOqeeSiMiAujuBrZvp/yS1vI10tNZXHopjRUr+Lbkd96h8P77MpE0YmI4XHddD2bM2I3s7BSkp6eDIAi0tvIk8eabPEmEhnJ46CELVq2iMVKNe9cuEpdfrrBRIB4JcjkHi4W/tps3m7FiBX+PtbUBRx+tQlPT4GutX2/BvfcObggHBoDoaLXda378scmufb2/32D3e9bCmcK/BQjpMiHCEYYztVoturq6QFEUoqKiRKkZb8627du3D2lpaT4dguY4DgkJCfj7778xbdo0nx3HHwh4YikqKkJwcDAyMzNHfQ6CtInJZMKcOXOgHto7OwStra04dOgQ8vLyRn3skdDT04ODBw8iOjoaZrMZERERYpRmnUqw9lCZMWOGWPj84gsKF1/sWurr4otpbNpkxlCjy4ICAmvWKMUW19hYDgaD8yn1666z4JZbLBDKXwwDpx1HADBrFovFixno9QR++IFCW1vgk4kjkCSHk09mcM01NObMYbF1qwybNw/Kz8fHW3DvvSwuucS2llVaSmDtWoUYNRx9NIPXXzdhJJfr9nZgxQoldu60JXGC4KBWw644L5dzSEjg0NjIn8/rr5twwQU8uezYQeKkkwYjktBQDiUlA7Def+XmqmwaEQBg06Z+3HabbcrSEbEMhTvRTHd3t0g0AwMD0Gg0YjRjLUXvCf7++29kZWV5VVp+KGiaRmRkJOrq6nzeJOBrBE5OwQm81W7c19eH3bt3g6IoLFq0aERSEY7tbf95R2htbcXevXsxYcIEUXblyJEjOHz4sA0Z9/b2Yu/evQgNDcWcOXOgUCjAccCGDXKXSCUqisP775vwyiu2pELTwKZNMhx9tAolJSTCwzmkp7NobyccksqKFTSqqgbwxBM8qXAcTyizZqlw+eX2heDLLqNx//1mREVxePFFXinZV6SiUnFISWExezaD445jcMopNI491r8DtixL4LvvZDj9dBVOO02JtDQOP/54CGvXFiIhgUZrqxzXXafEMccokZ8/+Dnk5HD45RcTNm0yQ63m8OefFBYtCsIvvwz/GMfGAt98Y8KqVbapZo4jwDB8dGoNi4VAWxuBKVP47199tQJ//skfY8kSFtdcM/g6fX2EXRpzzhz7Z6Ko6IgLn4w9SJKEXC6HUqmEQqGAXC63kXKiaRpmsxksy0Kj0SA7OxuLFi3CwoULERMTg66uLuzbtw+7d+9GVVUVtFqtR3Nv/phj6e/vB4BhBWADBeMmYgF4pU13UVFRAZZlMXXqVI+P29bWhqKiIpem/a2h1WpRUlKCo48+2uNjDweO43Do0CEcOnQIM2fOFIv0AwMDaG9vR0dHB3p6ehAaGoqgoCB0dHSIKTKCIGCxAGef7Vo9ZcECBu++a7bL3dfVEVi9WoE9e/jXmD6dRUsLAa3W/jOaN4/Bk09aMG/e4MKyezeJu+6S25lVkSSHm2+mERnJ4c03ZW7PYQwHiuKQk8NLmEyaxCIjgyfCCRN4bbChePBBOTZudF7jWbPGgrvusqC/n0BNDS/TX11NoKyMxIEDJAyG0ZNgZmYPHnnEjBNPDMarr8rw2GNy9PTw6airr6bx4IMWm8aJqioCl1zCR48EweGRRyy44QbaTovNGhwHPPSQ/XsND+cdOIuK+NfSaHj9sLAwDqmpHEpKSERHc9izZwAJCYBWC0yfHoSeHv5gcXEcKisHRMO1F1+U4fbbbQv4553Xjo8/tk0juRKxOMPQ4czhohmGYdDV1SVGM0LEL0Qzrthb7NixAzNmzECYoxvISzhy5AgmTZoEo9E4agvzsca4Ihaz2ey27/1oZkk4jkNtbS3q6uowffp0twtzQtfYscce6/axR4JQJ+nq6sLcuXOdFulNJhMqKirQ3t4OkiShUCgQExOD4OBYLFuWKKYzhsM111jw6KMWDB0X+OEHEqtWKdHdzef1Z85kHc6nyGQcnn3WjEsvZcScf0cH7+X+wQe2eW6S5HD33RbExADPP+8dQomK4rBkCYOlS1ksWsQgJ4ezey/WYBiguppAYSGJH3/kNcucIT9/ABMnOr8nGYZvQNi7l8Tvv1P49VdKXHA9wSmn0HjqKQvkcg533qnAxx/z5zZ1KoutW03IyRk8l4EB4LbbBq2TV6+24MknLXbzJUPxzDMy3H237QcUG8tHcgcOUAgK4q2c29sJJCfzs0C1tSSOO47Bl1+aQJJ8BLthw+BrvP++CWecwUcCP/1E4swzbQv4Z55J4/PPbU9sNMQyFELKTCAbZ7UZjuNgMBig1WrR2dmJnp4eBAUFibUZZ8OZf/75J+bOnevT4cWamhosWrQIAwMD425A1F2Mm8l7T+GppIsggdLb2+tUPXkkDGdNPBqYTCYcPHgQBEFg0aJFUCgUDifpWZZFdXU1enp6xPRdV1cX6uu1WLIkXhQCdAaZjMMLL5hxySW274Flgccfl+HRR3nb3RkzWISHcw4L7SecwODFF81iYZ7jgPffp3DzzQq7NNkNN1iwdCmLRx+VOZiYdw8zZrA4/XQap5zCYMYMzmkR22QCysoIFBWRKCggUVjIS8ePFGVcc40FmzZZho0AAN7OeNo0DtOmMbjiCgY0DezfT+Lzzyls20a57ab53XcybN9O4cEHLXj9dTMuvJDGmjVKlJWRWLpUheefN+Pii/nrFRQEPP+8GZMmsbjzTjlee02O7m4Cr79uHpZc1q2jodcTeOyxwcilvZ1AXByBWbNYFBSQiIxkERMDNDeTyM1l0NLC4bffKHz4IYWLLmKwahWNjRvl4jDkp59SIrFMmmRPxJ2dvq2XWRf1hzpnWnvNEAQBlUqF5ORkpKamgqZp0TmztLQUDMPYDGcKkYM/tML0ej2Cg4MDRvF5OAR8xNLY2IiOjg7MnTvX5b8xGAzIz8+HXC7HrFmzPJ7s7e/vx86dO7Fs2TKP/t4RBMOwyMhIMb1nHeI78lCZNWuW+AD09ADJyUEjtpiGhfH1lGOPtc2Hm0y8tMunn/Ir06mn0qioIFFba79APvecGVdcMZh+0WqBtWsV+Oor21XthBMY3HmnBa+8Ihs2OhgJGRksLrmExnnn8dpbjqDVAn/8QeG33ygcOECiooKAxWL/WajVnFNy+eYbo93n4gkYhi92v/GGTPw83cHxx5vwxhs0WJZvmhCGRe+4g+/Esl5/vvySwsqVClgsBM45hx6RXDiOv1Zbt9r+0v/9H42dOylotQSmT2dRUsKrCRx1FIPt2ykkJLAoKDAiJAS49lqF6BwaEsKhsXEASiWg1XYhNdV23mPSJNZOmcCbEctwcBbNWM/LCNGMXq8XU2a9vb0IDg5GZGQkGhsbkZeX51NNsx07duCqq65CY2NjwJPLPyJicad4r9VqUVBQgISEBEyePHlUIafQjeItozGh1pORkYH09HSncvfOPFT6+4Hs7JFJJTJyAI8/XoDkZDV6emLFaebubn7G5a+/KMhkHFavpvHyy/a1h4wMFu++a8LMmYOL+/btfFurtdBkZCSfIuM44LzzlA7rMiOBojicdRaDK6+kkZdn7+cC8GmtbdsofPcdhYMHSbup84gIPo03YQKH7m6go4P3oXeEtjYDvJXtoCjg6KNZHH20GY89ZsGWLTK8/LLMZa+XX39VYt48Fk891YAtW9R44YU4PPmkEhs3ytHcTGDzZrPYNXbGGXyNbMUKflMQE8Phv/91PhdGEMBTT5lRUkJg//7BnfhXX8lw440WPPusHCUlBBYuZLFnD4XGRj4t1txM4pVXZLj5Zhrnn0+LxKLXE9i+ncScOR0oLCyEWp0Ag2HwM+7txf860Dz4IEcJZ9GMtUqz8HtqtVqUbrFYLGLKDAD27t1rM5zpbakZQYAy0EkFGGfEQhCE2xGLq6kwjuPQ2NiIqqoqTJ482SsDlcKCPtowmeM41NXVoba2FtOnT0dcXJzTSXpnHioWC7B4scqudXQokpJYfP01jfDwOHR0dODgwYP/67xJwPXXT0VFBYXQUA7XXEPjiSfsSeXUU2m8+upg1xjH8cXaO+6wfchOO43Gww9b8NBDg0OU7kCtZnH55QzWrqWRmmp/T+h0wLvv8hFQQYEtSUydyuL443mpFbMZqK4m8dtvJN5+27kg5pQpLPbtM46Y+vIUiYkc7ryzD7m5Jdi2LQOffJLkMJIaio6OIFx5ZTbuuacAxxxTBIViMp54IhPvvcd/ptbkctppDN5804wVK5TYvFmOiRM5XHWV802XUgm8+64ZCxeqbOpCX3xB4ayzaHz2mQzt7QSiojjU15NYsIBBczM/x3T99bwMT0wMh44O/m9/+skIiirElClTMH06h7//HjyWwUAgKGhsiMUaQ4Uzh7YzW6fMSJJEbGwsIiIi0N7ejunTp6OrqwtNTU0oLy9HaGioWJvxxnCmv/3ufYlxRSyewBViEfzc29vbMW/ePERERHjl2MJNOhoTIJZlUVJSAp1Oh4ULFyIkJMQpqTQ1NaG6uhpTpkyx8VARIoKRCuHJySy+/96EjAwKQDzi4+PBsiwOHerFOedEoLpagYgII845px1PPJFq9/fXXmvB449bxIXMbAZuusk+nfLCCybMns3iP/9Ruj0lL5OxuOIKE+6+m4Oj2dTiYl6V96OPKDG/T1EcjjuOxZln0v9b0Ej88guFN96QjUi0APDss2asXu1bler+/n4cPHgQKSmR2LJFg7vuMuLmmxUuaaEZjRQ2bJiDF1/swcUXH4ZCUYaHHpqC996TgSS78cQTNEJDQ0EQBM48k8GGDWZs2KDAbbfJMX8+Y6N0MBQpKRweecSMtWsHu5AaGkicdRaD0FAOhw6RYhrsyBEC0dEcWlpIfPklhXPOYbBsGSOS3F9/0bjttmmIjY1FSootsfT38wOgwPjajQ8XzQjrislkAkEQCA8PR0REBDIyMmAymcSUWWNjozicKUQzngxn/lOUjYF/ALFYS8Q7gslkQn5+PliWRW5urkutha7CetfjCYRz4zhuxCK94KEyZ84cOw+Vhx+Wj7hARUdz+O47k50BV28viRUr4lFdTSIujsXatRbce689qTzwQB9uuWXwnPr7+bTZb78NHjcpicWHH5pRVUXg+ONVopCiqzj66HY884wKEyfa35YlJQQefliOr78e/Nn06SxWraJx0kkMfv+dxEcfyXDddfapsOHw0ku8Su+WLTL09/MKxzIZoFDw3WZxcRzi4/l2XE9lqYS6WVJSktjOnp7O4bPPTPjoIwo33mjf6DAUNE3guuvC8cknKtx+O4ukpAFcdVUw3nknGhpNEZYv5xWuo6OjcdNNUSgoIPHFFzKsWqXEjh1GO58ca6xcyeC99xjs3k1BqeSlc958U4aLL+ZToUeOENBoODQ1kcjJYdHZSeDTT3liWbJkkFhqaiIRFcUfKD7e9j6jaQJ+GPkaFayjGeGZpmkaTU1NUKvVNs6ZMpkM8fHxSExMBMuy6OnpgVarRV1dHUpLSxEeHi4SjavpLSli8RE8CSWHi1h6enpEyZdp06Z5vatjNA6WfX19OHDgADQaDaZNm2bzOtZF+uE8VABeVfjxx4df8dRqfhHLzLR92M1m4MILlSguJhEby+Huu2nccIN9d9ydd9Zg9uxy7NypRExMDJTKWKxeHW9jybtgAYMPPzTh3XdluO8+93LPsbEDuO22eqxZk2x3jY4cIXDXXXJ88gkFjiNAEHzN5ZpraCQlcXj5ZRlyc1Xo7vZsJ3ztta7NC8jlHLKzOUybxmLxYhZLlzKYOJEbMXWm0+lQUFAgzhdZgyCACy5gMG+eEStW8NdhONA0rzT8yy9GXHwx0NBgxiOPKLBly3T83//FgqKOoKqqCiaTCatXx2DnznmorJThiSfk2LDBeb2FJIEHHrBg2TIKFgsQFMShu5uARsMPlFZXk1i8mMHOnfzPAeCnnyj09QHp6c0AeNWLgQESjY08aWo09lGSXj/8ZzWeIBTzq6ur0dfXhzlz5kAul9s5Zwq/K0QzWVlZGBgYEKOZuro6KBQKkWQiIiKcrkP/FJMvYJwRiydwVrwXfN+zsrLEgUFfHd/diKW9vR2FhYVIT09HRkaGeKMKeV0B1h4q8+fPtwuvGxoI/Oc/w3epkCSHd94xYe5c23PkOL6rZ/t2CiEhHDZtMmPlSvtF9qWXTFi5MhEMEwedToeGBi0uuCAYVVWDD8cJJ9B4/30zHnhAjhdfdG9bf8IJzbj/fi1mz7YdTGUYPop48EG5qEN21lk07rrLgrAwXjvrnXcoMIzn1zUmhp/diIjgpUmCg/nPxWLhu+O0Wn4CvaWFtzIuK+OHIj/+mP/71FQWZ53F4JxzaIfppra2NpSUlGDKlCnDqm9nZXH4+WeeXH75ZfjNj8FA4NJL+SjkzjtpHDjAWwvffHMstm8Pw6RJk9Df34/Ozk7ccEMl7r03B88+S+K44+oxY4YG4eHhDp+FxYtZHHMMgz/+oKBQcBgYAD75hML//R+Djz+WwfC/Bq6mJgKxsRza2wl8+mkHUlMroFani4X6ykqeWIbKAQH20jHjGRzHobS0FD09PZg3b57NwKKj4UzraEahUCAxMRHJyclgGEaUmqmqqoLZbLaTmhEgpcLGESiKEi+ysMuoqqpCU1MTZs2ahZiYGJ8f39WIheM41NfXo6amZsQivTMPFQE0zRfrR8J991lw8sn2xPfcczJ88IEMFMXhuefMWL/enhAef9yMlSsZ8X1qNDFYvTrZhlSWLm3D1VfvxfXXz8FHH7kuKR4UxOLqqwtx1VVBSE3NtvnZ4cMEVq1SiHMz8+czePppMyZP5rBxoxzPPSeDyeTZInXPPWacfjqDjAxu2PSQNViWt1guKyNw8CCJv/6isHcvicZGEs88Q+KZZ/haxtq1tOimKdTDBFuDkRAaCnz6qQkrVozs4llTQ+LWWxXYssWMF180YcGCIBQXk3j1VRmuu45GcHAwgoODcdNNwPff09i1S4bNm6OxZs1+AEB0dDSio6MRFRVlIzu/Zg2NP/6gQNN8pFJbS+Kii/gFs7mZRFoai4YGEuHhLAACf/xB44UX5mHqVA77+ZdGdTWJk09mERY2bqYY3MZwpAI4bwAQ1qGh0Yww5Z+dnY2BgQF0dnais7MTNTU1CAoKgkKhQFNTE/r6+nwesbz00kvYtGkTjhw5gpycHDzzzDNYunSp148zrsY7PYkqhF08wzCwWCw4cOAA2tvbkZub63NSAVwfkhSK9PX19ViwYMGwpNLS0oKDBw8iKysLkyZNcvi5PPEEbxM7HJYvZ3DLLfbR3J49vIcK/zoWvPeezG6Q75prLFi7dvBvhQjHeke9bBmDr74Kxe7dx7tFKrGxFjz22A7ccEMEUlNt6zk//URi0SIV/vqLj6SefdaM334zoa+PwMKFKmzaJIfJxCsBKBSuL14ffGBCf78Bd95JY9o010kF4FNFqakcTj6ZxV130fj+exOamwfw/vsmnH02DYWCw759FFauVCI3V4V3321DTU0NZs+e7dY9KJcDb71lxlFHjXw/vfuuDLt2kYiPBzZs4PXiHn9cju7uwd8hCODBB/lr+OOPMcjJOVqceaqrq8Off/6J/fv3o6GhAf39/Vi+nEFsLIf+fkKUjxFUFzo6CLEN22zmz6+pKQWhoaHIyhq8Dq2t/D0ZqBmdkUjFEQQ9M4VCIX5RFAWCIMCyrKhnxjAMlEolkpOTMXv2bCxduhSZmZmoq6vDTTfdhK1bt+Knn37CK6+8gqamJq+/t48++gjr1q3D3Xffjfz8fCxduhTLly9HY2Oj1481rojFEwi7ht7eXuzevVucVvdXrtKVVJjZbMa+ffvQ19cnTvkLO5yhHirV1dWorKzErFmzbIy5rFFSQuCRR4avYyQmsnj1VZPdRHpXF3DppQrQND9IZzTCTkvsuOMYbNxoO4C3ZYsM778/uJNetIjBe++Z8OmnFJ580vVVOjNzAE888RfOPTfLToL89ddlOOccJXQ6ArNnM9i504jLL6fxyCNyLF+uQm0tr1k1eTKLvj4CZvPIG5HXXzeht9cg+op4C0FB/OzI22+bUVExgLvusiAigkNpKYk1a9Lx1lvHgaLc7z5UqYC33zYhKWnk9Or69XJwHHDppQymTGGh0xGivIuARYtYzJnDwGQi8NZbclGoMTc3F4sXL0ZcXBy0Wi12796NvXt3Ii9PCwAiaf/6KyUSHUny3zMa+deuqeE3JwkJg8QitB77yX/LqxBIpbe312VSGQqSJEFRFBQKBVQqFZRKJWQymZhNEYQzLRaLaFp29tlno6amBieddBLS0tLw7rvvIj09HaeffrpX399TTz2FVatWYfXq1ZgyZQqeeeYZpKSkYPPmzV49DvAPIBah0H3w4EHEx8eLRTZ/QRiSdAa9Xo/du3dDoVBgwYIFYueXMFRp7aFSVFSEtrY2LFiwwKk8N8cBZ5458g3/wgtmOOqqvvtuBQ4fJpGZyeLKK2k7zaiEBBavv26ykWvft4/EHXcMfqZJSbzDYFkZ71ToKpKT+3D//dsxf368nXr0o4/KcMMNCjAMgRUraPz2mwmxsRzOPFMpNicccwyDoCAOFRUj37YvvWRCT48BF1xgKz3vC8TFAXfeacIHH+zHmWc2gCQ5fPJJEJYsUaG21v0oPCYGePXVkS0kDhyg8OefJGQy4Prr+ar6K6/IYB1AEwSwahUftQzV6goKCkJKSgrmzJmDY4455n+E0w2Ad+cEeB207Gz+3319/DlxHP86Wi2Bri5+RkeAQCwyWWClwqxJZe7cuV4TgRyqzixEM4C9OrPJZMLy5cuxfft2dHR0YMOGDV45B4Df3B44cMBOJWTZsmXYtWuX144jYFzVWNxNhQmDhYLzWkZGho/OzDmGq7F0dPBTyGlpacjMzLSb8hUgeKhQFCWSjzN8/DGFlpbhF9aLL6Zx0kn2ZPfHH6Q4Kf3ii2a7oUYAeOMNM6wDif5+4PLLFaIzpELB4f33zQgK4iMfV2sdiYkDePLJAkyaFI+2Nj5VFB4ejpiYGHz4YaoYgd17rxl33EGjsxP4z39UKCggoVZzOPvs/2/vvKOjKv42/tytSUhI7yGNGgiQQpfeW0hoUhRFVEQBReQVKx1UQESlKIKKioJA6B1C+dFLEiBACDUJpPe67d55/xj2JpvdTYEku+D9nJMDbJbd2XLnmZlveVhs2SKucpfy9dcqvP22BtXpvFFSAsTEiHDrlgjJyTRQr1TSmErDhgSOjrTLQOvWXKWNLTUaDa5evQqpVI1ff22Ky5eVmDRJ9qRxowX271foNI+sDj16cBg9WoOtWyu/RH/5RYKePVV4+WUWn35KPVQuXRKhU6eyz3/IEBbTpxPExorw+DFj0H1SIpHAxcUFI0cymD0bKC6WomFDDQoKJHj0KAlAM6hU9DFLSxnIZAQqFYPERAa2tmWPpw3y17WY1yZ1JSoVqaw4U2vboc0ctLe3r1GbqqrIysoCy7Jw1ZojPcHV1RVpaWm19jxazEpYakL57r8ymazWih5riqEdCyEEiYmJuHPnDlq1agV3d3eDuxSAHuHFxsbC0dERAQEBlbaYKS0FJk2q/Etvb0/w1Vf6q12NhhYzAsDkyWrcvCnSq1h/+201unfXfS0LF0rx4EHZ/ebNo23xp06VITGxehteS0sNli27jUGDgviLSqFQICsrC3/+CSxaRA/vp09PwZQpQF6eLYYMscSNG/To67331FiwoPKd0fDhGnz7rQoVrhs9Hj+m7V927RLj0iVRtbPKbGwIevdmMX48i0GDynZBKpUKMTExkEgkaNeuHSQSCbp04XDihAIjR1JhHDFCjhMnlDpHRtXhs8/U2LZNXGldzsGDNO3XxobGvLZulWDfPrGOsDg7A23aEMTGMrhwgRY/GsPNjcDBgSAnh4FcTl+kSER3l0VFMlhbq1BUJOPTjvPydONV2tvroDdrnVBfomIIbXFmcXExXnnlFTRv3hyffPJJnT5nxcV7bbWjqshzKSylpaWIiYmBWCxG586dcfHixVox+3oaKgbvy1f5t2/fHra2tkaD9Onp6bhx4wb8/f3h4+NT5Qf8669Vf1yffKKGoVO0P/4QIyGBTtQzZ2oQGKi7pPfw4LBggW6tw7VrDFavLntObebTiRMivWr7yli8OAnh4U11Xp+FhQWysxth+XI6jnfeycOrrz7CpUvZmDu3PW7caAAXFw0+/liNWbMqL2pdv16JceMqn8lu3mSwdKkUkZG6Kcru7hyCggh8fDi4uRFYWNBgfUEBPdaJj6fdkHNyGOzaJcGuXRL4+nJYtEiNAQOKEBMTDWtra7Ru3VpnUeDmBuzZo0CfPhZISBDh3Xdl2LFDWaOWMc2aEfTpw1WagqxQMDh7VoQBAzj060eF5dw5fcFv145FbKwI0dGVCwvD0F1aTk5ZzYpYTEWqoEAKd3cORUXgxe7MmTjY2dkACAAAfgdb1U62eXPTV0uaUlS0lJaW4uWXXwYhBMeOHaszky8nJyeIxWK93UlGRobeLqY2MCthqY5y5ubmIiYmBi4uLmjZsiUfLKuL9vXVoXzwXqVSITY2Fmq1Gp06dYKFhYVBUdGmHT948ACBgYHV8tEuLYWeeVJFfH05g72hSkqAxYtpnGL2bDU2bpTwR1tavvxSrWeCNXeujO+tJRIRrF5Nd0KffFL9uMqoUbl45x19nxulku6+FAoG/fuzWL5cBpEoEFu2SHD1qgxWViwmT76BuXMrN3A7c6YUQUHGdwKlpcD8+VKsWSPhBaVLFxajRrEYPJhFo0ZV7yI4jh6ZRUaK8ccfEjx8KMKrr8rRrVsOFi92Qps2+ungAODgAGzerETnzhY4ckSMPXvENU4iiIjQVFnbcvGiGAMGcGjbln4P4+JE4DjoJG40bUpfZ1JS1deYg4P2b2oAMlhbl31+FcOX3t7NoVLl8/9WKApx714ScnK8AJRN1BIJ0fnOtWhhWmExB1FRKBQYN24cSktLcejQoTp1jpTJZAgNDcWRI0cwfPhw/vYjR44gPDy81p/PrISlKpKTkxEfH4/mzZvrpKlW1dalLtHuWIqKihAdTVevwcHBOjuZiu1Zbt68iZycHLRr167ajnT//FP1ofXMmRqDcYBNmyRISxM9KejToHlz3R1AixYcxo/Xff/OnBHptIl57TVqoLVpk7jKCnEtLi4a/Pij4Qv2u+8kiI8XwdmZYP16mr125owI331HZ66ff9bg++8DUVxs+HVLJNTRMCDA+PMnJzMYM0aOq1fpeMPCNPjkE7WOEBUUAPv2iXHqlBjXrzPIyGCgUNC4gbc3QYcOtAdZaCiH0FAOn3+uxldfsfjhhwb43//cMXu2C/bsUcJYp6DmzQmmT9dg+XIpVq6U1FhYXnqp6glYmyCgNSQrLKRB9fI7V22APTW1amGxsWEBiKFUao/CqJMlxzF6VgMNG1pAoynb/draylBcXIzbt5MBlB1PN2hALR20tGhhuuC+OYiKUqnEhAkTkJOTgyNHjsDWUEVpLTNz5kxMmDAB7dq1Q+fOnbFu3TokJSVhypQptf5cz4WwcByH+Ph4pKamIjQ0FA5lSyoAT2/2VRuIxWIUFRXh/Pnz8Pb2RpMmTYwG6ct7qHTs2LHaX2hCgA8+qHyX4OpK8Mor+rsVQmg3WgCYPl2Df//V3618/LG+6+CPP5bdIJVS10dCgJUrq59xN3cua9AKOCMD+PZb+jjLlqng6Eh3BR9/LAMhDCZM0CA1Vbede0WWLDmLrKwixMc7w9nZGfb29jrvdWoqMGiQHA8e0OO/n39W6hSKFhQAS5dK8fPPEoO+LNnZDO7fp94uS5dK0bs3i++/V6Fhw0z06nUN7dq1xnvveePcOTG++EKKb7813jLl3XfV+PZbCS5cECMlhdHJoqqKxo0JpFJSaSdkbe2ITAY0aEDrUPLzaVdiLZaW9O9VuX8rFApkZqoAuEEqFaG0lH6HynauuveXyQjfGQEA7OxkaNOmDY4cqWhFrQRQJkABAabZsZiDqKjVakycOBGPHj1CVFRUvcWHx4wZg+zsbCxYsACpqakIDAzE/v374ePjU+vPZfbCog2OajQadO7cWS9NFTCtsBQXFyM3NxeBgYHw8PAwGk8x5qFSHS5cEFXpsTJpkuFMqOPHRbh9WwQbGyo8PXro3snNjcPw4brvXWIig337ysY3ejQLDw+CqCgRbt6s3m7Fz4/Dq68a/kxWrZKipIRBaCg9kgKAHTvEiI2l4/zsMzW6dTOe1jVvngpTprRBbm4uMjMzeec/R0fHJyLjhPHjrfHggQh+fhz271fqtN6/fZvB6NFy3rysaVMODg60J1ZOju777OPDISWFQVSUGN27y7Bw4T0MGtQSbm7OsLJSIiLCAuvWSTBjhsbosZqbG9C2LQ2eX7woQkRE9b+rYjFgaws8sQQxiKpcroZMRjP5VEaylStzpSgtLcWVK1cAtNe5b/l4ScXMemtrID6+7PfaDLHcXN3viaWlFLm55Z8rFnfuWFRqB1zbEEIQFxeHwsJCk4mKRqPBW2+9hXv37iEqKspoWUFd8d577+G9996r8+cxqzqWiufUBQUFOHv2LORyOTp27GhQVICam33VBtojrby8PDg5OVUqKllZWbh06RLc3NzQunXrGjfD/OOPyvWfYQgmTDD8+jdvpv937FgN4uJEeq31J01i9Y7PNm/W9S2ZMoU+tjZVuXx6qTHefltj0MFQrS57nI8/LnOfXLeO3jZ1qgYHDoiNWtn6+3P44AMNxGIxnJycEBAQgG7duiE0NBRWVlZ4+PAhPv88ERcvimFtzeLff/N0RCUrCxg2jIpKo0ZawzIOFy6I9UQFoC3k33xTg8DAUuTmirFhQxe4udGYQ79+HLp2ZcFxukJsCD8/OiOnpNR+Bo427kEIUFhI/17xuF772io0xuYpLi7GpUuX4OTkBIWCbjO1hZDamhQLC6JT2Q/QI7aMDEbn30BZPYsWuVz33+3bu0GpVOLq1as4deoUrl+/jrS0NKjVxnd+z4I5iArLsnj33Xdx/fp1HD16tFqx1ecVs9uxaM2+0tLScP36dfj7++sYWhmivncsarUasbGxUCqV8Pb2hlKprLGHSnVh2bKJuCJiMQHLMujWjYOPj/5kr1KBn/BGjWKxe7f+5Dd6tL4glS+ka9KEQ0gIB4WCprbS59UfC8MQPlNILDZ8LAcAx46JkJXFwNmZYOBA+pklJjI4fVoMkYhg0iQNXn/d+LHftGn6cSSGYdCwYUM0bNgQjRs3wdtv00lj0qSHSEm5gfz8BnB2pkdmy5Y54dEjEZo04XD0qALLl0urtA3+5RcJVqy4gA8/fAkxMXKkpJTyE2jbthxOnxYjOblywdB+PWtau6vRULvlytC2qM/MpB2QGYamDJdHK2iurvrfE22nbS8vLzRu3JhPI5dK6UJAWzvUoAH0XEDd3YmOWGpTqm/c0L1fxc+sWTNniMXOIIQgPz8fWVlZePDgAeLi4mBnZwcnJyc4OzvDysrqmdNhzUVUpk+fjosXL+LEiRP84uRFxeyERdvWJDExEW3btq2WqtfnjqW4uBhXrlxBgwYN0LFjRyQnJyMjIwNpaWl8Sh9Q5qGSlpZm0EOlupw5Y3xTKRbTCWvoUMOieuqUCHl5tBtt584c3ntP9+pu2ZLjA75akpMZneB8RAQLhgH+9z8Rioqo0ZN2VVye8rUWnTtzBk26gLL2MeHhZTuaEyfo83XowMHKiuD8eeOvecSIyj/ne/cYPHhAO/R+8YU7ZDInZGdn826Z//7bC4AUn3ySBQcHS2zaVLU/D8sycHML5HdX5b9qjx/TG+3tK9/F3b5NX1OjRjWLLdy6xVRaxwIAfn7kyX1F/L8rJhNoP9OK2Vj5+fmIjo6Gr68v/Pz8kJ8PpKfT59PGnrRHYtriRy2urrSGpfwuWHscGBNTMcai+3+1ixOGYWBnZwc7Ozu+5by2SeO9e/cgl8t5n5mKcbTqYA6iwnEcZs6ciZMnT+LEiRPw9Kx+X73nFbMSFo7jEB0djaKiInTq1KnaLaQlEgmUVUUla4Hs7GzExsbCy8sLTZs2BcdxcHFxgUql4g1+HBwc4OjoiMzMTKhUKnTs2PGZzMXKG2mVx8qKtjYHgMGDjQkL/b/9+7N49IjhYwpa+vbV/39nz+rep2dPep/z5+ljNWhAkJUlgp0di7w8epu2CltL797Gd4+XLtHH79KFK3cbfZyuXTlcv27cqKt5cw5V9XTUZkg1b06eNEKUws2tzC2zuJjGbghJwIkTuSBkIIDKtxH29hxWr7YByzIICOD4yfPBAwYHDtCx9+plXDDi4xncvi2CWEzQrl3NhOX06aqPTTt1ou+3tn6lTRv954iOpr8LCSn7XW5uLmJjY9G4cWM+y1L7+Wh3oDIZKXckpvuYbdpwIARISCj7vAICOINxnOqu+7RtZho1agSWZZGTk8PH0TQaDR9Hc3JyqtJznuM43Lhxw+SiMnv2bBw6dAjHjx+vk0C5OWJWwqL1mA4MDKzyS1Oe+jgKS0pKwu3btxEQEABPT08+88vCwgJNmzZF06ZNUVxcjJSUFNy9exccx6Fhw4ZIT0+Hi4uL0fhQVRhLM7a0pCtKb2+OX7FWRCsSL73E4soV/ZVe5876E9DFi2X3E4sJ2ren97l8md6ufRn5+WX3CwgguHq1bHLR1lMYQru6LT/5JSbS/9u0KVfpkZKXV/WzqQy1bxOJRGjZkuDSJSA5uQOGDcvDmDF5+PnnytUqN1eEU6doZtWaNSowDG3mOW6cHEolg+7dWZ0JuyLff0+Fa8AA1uhOzhjbtlUuLBIJ4avsDx2i9624YEhIYPDggQhSKeF9ebKysnDt2jU0b95cZwV94YLu8wUGcny6dsVLrE0bDvfuMbxFtEhE4O9PkJ6uP06tONUEsVjMH2ESQlBYWIisrCwkJyfj5s2baNiwIX9kVtFzvryotGvXrkbzSW3BcRy+/PJL7Ny5E8ePH0fjxo3rfQymwqyEBQC8vb1rbJxVl8LCcRxu376NlJQUhIaGwt7e3mg8RaVS4fHjx/Dy8oK3tzd/BHP37l1YWVnBxcUFLi4uvD95VSgU1AfDENr/3qGD4feK48BPCB06cPjzT/2P2tDqWXtkAwA+PoRvlf7gAX1CjUYJwFJnV6E9DtJS0amy/OvROj2Wt67VBoSdnGivq2dBWwh45w6DvDz9YPU772hw6ZIYS5ZI4edni6VLWQBq/Pxz5buWwEAOa9eqEBLC4cIFEd56S4b792kdjlZsDPG//4nw5590sjZkYVAZMTEMv1M0xoABLOzs6Ou9eJHGqSr2idPG1nr04GBrS6utr1+/jpYtW+rF/fbvp/fVfr6NGxNs3SoGwxA9cejQgdNZiAQGEkgkMJg5mJ//bHGS8nE0ree89sjs4cOHkEgk/E7Gzs4O8fHxJhUVQggWLVqEf/75B1FRUWjWrFm9j8GUmJ2wPA11FWNRq9W4evUqFAoFOnfubLSSHqAeKrdu3UKzZs3QqFEjAICXlxe8vLyg0WiQlZWFzMxMXLlyBWKxGC4uLgbrL8pT/oihIrStOWN0pfz4MS1mk0gIGjcmuHNH97GsrIjB3lUPH5bdz9+f/p6Q8hXbKgC6R3sVM4UqBo61lP+Iyp9KaN9GlmVgZWV8V1JRwAzh50cQEMDh1i0RNmyQ6E3mY8eyOHpUg82bJXjjDTm2bdNg5kwNJk7U4K+/CE6cUCIrywoikRj29gp4e+egU6c09O3L4N69RvjmG0fs3UtFyMeHw5YtSqM7xgcPGEyYIOdrc8r376oOVVkjALRwFQDWr6eXcv/+nE6dDMeBX1RERGiQmpqKmzdvonXr1nrxy8RERq9/nPazsbLSdYAUiwm6dWMxd26ZIHfuTMdy44b+97mgoHaz4eRyOTw9PfnTA23qeXx8PBQKBcRiMe/OWt8QQvDNN99gw4YNiIqKQsuWlXePeBF5YYSltncsJSUluHLlCiwtLdGhQwed6v6K7Vnu3r2LR48eISgoyGBeukQi0Tnn154bx8XFgeM4frtfPvgPoNL28Nq7aVfoFdHGGvz9CaRS/TRXHx/Dfu3awC1ArXsBoKhIDbWanoE1bKjvc1Ox4NJYZ+HyC0eFouxYTRs3SUtj+LRcQyQkMMjJKd9yRB+GAT74QI0pU+T45hspBgxgERhIdH6/bp0KjRoRrFghwb599MfDg0WTJuno2pVBy5ZWkEhYKBQyJCe74fRpFyxfLkVRkfjJYxAMH16Ar79m4elp+MXevs1g6FA5MjMZBAZy+Pbbqtvgl2fPHjEfvzFGq1YcBg9mkZZGvWwA2ki0PIcPi3D3rgi2tgRduiTh1q3bRr+nFY9dnZ0JfzRZcbcSGkp3P+VjgNqj1YqdGdzdOT0judpEJBLxfvJKpRIMw8DNzY0/LbC2tuaPzBo2bFhnNuUAnQ9WrlyJVatW4dixY2jdunWdPZc5Y3bC8rQukrUpLDk5OYiJiYGHhweaNWvGG/Rox1feQ0WbcdKhQ4dqmYuJRCLeGrZFixbIz8/nL4C4uDg+OOns7IyEBMOPZ29P+KMFYxOxtg7ExcVwKw8nJ31BIkR3AqEJAqU4f/4agF4AAKlU//Mpn2oM0AI9Q2+FTEafNyuLQVISw+9sGjfmAIhx8yaD4cONCwvHMdi9W4yJEyv/rF95hcXmzdS/ffhwOXbvViIgoOz1isW0S/O4cRp8+60UO3aIkJIiRkqKB06dMv649vYEI0YoMGxYCuzsHuPWrTwkJ1vzn5f2iHPrVjGmTZOhqIgG+3fuVNTIUTElhcH771e9W/niCzVEImDJEilKSxm0b8/qHIMRAt7LZsSIHKSkJCA4ONhgpbdaXbbr0dKpE4s9eyRgGHrEVf4SCwtjce+ebkKItv1MRYHy9ydITS37t6GkkWdF69BaUlKiYz2hVqv5I7Po6Gid68/R0ZF3oK0NCCFYvXo1li9fjkOHDiE4OLjWHvt5w+yE5WmozR3Lo0ePcOvWLbRo0QJeXl58kL7i0VdNPFSMUT7VUhv8z8jI4McQF9cegH7ti6Mjwd279II2VJcAlBXEaSfvim1LDO0qOA46hZEajRoXL16Ek1NZ91ND16GNDW2RoiUri+EFrSJNm3LIyhIjLk6EoCD6mXXpwmH1auD4cTG+/VaNkBAW0dGGV+vffy/FhAmVm3eJRNSFsX9/C8THU0+U5ctVGD+e1dmlNW9OsGjRI0RE3EJxcWs8fOiCxEQRMjLopCyT0YI/f3+Cjh1pk0f6vO4A3PlJKzMzE4mJicjIaIjffmuD06ftAADdurH44w8lalIHp1AA48fLdIoODTFoEIuwMBZnzoiwYQMVj4ULdV0/t28X49IlMSwtWfTuHYOQkBCjPal27BDr7Sq077E2UaQ8o0ez2LWr7ENo25YeweXk6H6HgLKdr5Zx42r32ForKsXFxQgNDdW5FqVSKdzd3eHu7g6O4/iF3L1793D9+nXY29vzpwVPm2ADUFH55ZdfsHjxYhw4cAAdOnSojZf23CIIyxMIIbh9+zYeP36MkJAQODg4GI2n1MRDpSY0aNAAfn5+8PPzg0KhwIoVhsWq/NMZ62GpLWDWXmMVQ1BSqf7ELxbT6mqFgr7WxMQc+Pj4wMfHB5aWhM/+qYi3N0FcXNnvEhJEaNnS8OfRpQuHc+do00dty5cePVhIJAS3b4tw9SqDl182LiwJCSKsWSPB9OmVT06OjsDhwwqMGyfHmTNiTJ4sxx9/sJgzR40uXTgwDF1EJCQkoF27QLi4OACo2YSnnbQyMz2waZMEW7fSDsoSCYeRI+9i6tRsaDTOUKmqTo0FaB+vsWPlfPq1MezsCL77ToX8fGDKFPq4r7+uQbduZbuVvDzgs8+o4IwceQ/9+rU22j1Xoynrfq2lUycWx4/TcWjT2rV06UK7Qv/7b9k4tSnvFy7oXwsVv6MVPX+ehcpEpSIikQj29vawt7dHs2bNUFJSwi8MEhISYGVlxR+Z1aTNDCEEGzduxJw5c7B371506dKltl7ec4tZtXQBnu4oTCsspLJGSJWg0WgQHR2NzMxMdOrUqdLMr/T0dFy+fBne3t582/66wMLCAnl5hldQSiWtVJPLCcRiw6/ZWEGalqIiw++znV3Z47GsA3x9fcEwZY0TtY9T/giuYhpwTIzx90R7DLJvn5g/drO3B98/a+1aKV57TaMzjop88okMMTFVf08cHYH9+5WYN08FuZzg9Gkx+ve3QKdOcsyfX4ATJ1IQFBRc49YaNOOOwfLlEnTsaIHOnS2xebMULMugXz8WFy4o8P33trCzs0ZSUhJOnTqFS5cu4eHDhyguLjb4mIWFVFQqNm+sCMMQbNighKcnwZtvynH/Pu1avXixbgzn//5PisePRXB3L8bChfaVtmT/808xvwPW4uBAj1vlcqJXV/TWWxrcucPgypWysQ4dSkXZUN2VXK77WdbU8MwYNREVQ1hZWcHb2xuhoaHo2bMnGjduzCfsnDx5EtevX0dqamqlbWYIIdi0aRNmz56NnTt3onv37s/6sl4IXpgdCyHkqdzQSkpKEB0dzfcjqyxIX1MPlWfFWO6/pSW9gFiW4OTJk3B2doaLiwscHBz44L/2YtauNu3sdLvQ5ubqv0+EEDg6KpCWRgUtOdkCAB1EQACHe/dEfPFb+aO027d1H+voUTHmzzd8MXbtysHLi8OjRyJs3y7GK6/Q93rqVA22bZNg0yYxpk9n8OGHasyda3yiGDnSAkePKvjMNWNIJMD//Z8G48ez+PprCf7+W4K4ODHi4twAuMHHh0NQELUf9vEhvIOiWEwD/cXFDLKzGaSn01Ts+HgRrlzRbVYplRKEh7OYMUON4GDteGxgY2ODxo0bP+kYnKmTeq6Ny9ja2iI5WYRRo+QGs6kqMneuGgMGcPj0UykOHhTDwoLg77+VKB822bxZhL//lkIkItiwQQMXF+MBnqws6L3PnTqxfJpzxaQqd3fatHTevLIdTqtWHNq2pa+7ogGcjQ3RK8ytjdj5s4pKRSQSCVxdXeHq6gpCCAoKCvgjzhs3bvA22k5OTmjQoAHfemrr1q2YOXMmtm3bht69ez/7C3tBeGGEBaA7j5p8wbSmYW5ubmjevLnRIP3Teqg8K8YyJWUy+rFpNCK0bt0WWVkZuH37NpRKJZycnODi4gI7OzcAcr4ZoKMjkJxc9hgpKQwIKbvIta/Rw8MTN25QYUlMZPhAfOvWBHv3lu2EtO1DAOhYFwNAbKwIiYmMwf5lIhFd8c6bJ8OyZVKMGcNCIqE1ERERGuzcKcH778uwd68SW7dKEBdneLJNT2fQp48F9u1ToGXLqlfAnp4E33+vxNixV7FzZwPExTXGuXNSJCaKkJgowq5dVT6EDtbWBF26cBg2TIPwcLbSTDULCwu+mlyj0fD1TbGxsTh1yh2rVrVBcXHVovLBB2rMmqXBkiVS/Pgjndh//FFVTsyAS5eAd9+l18DMmQr06FF5fc6nn8p0+n9JpQRyOY3RMYx+u/533tHoNBIFgAkTaDPR+/f1/Vq6dOH4ws3aorZFpSIMw8DW1ha2trZo0qQJb6Otjc0cPnwYmZmZ8PPzw/fff48tW7Zg4MCBtTqG5x2zE5anPQoDUKM4y+PHj3Hz5k00b96cbx/BcRwYhqkVD5XawFgX4fJvkUhkj+bN6ZlxUVERv8pKSUkB0A3JyRwUCgX8/WU6NQrZ2QwyMgBX17J6HY1Gg+7d7XHkCL0PIQzOnxehTx8OPXuy+OorKeLiRGjRgtNLhW7cmNNZmf7+uwRz5xretbzzjgY//CDFnTsi/PKLBO++S49RlixRIypKjPPnxVi+XIqNG5Xo2dNCZ6dVnowMBu3bW2LjRiXfft8YLMvi6tWrEItVWLSoMeRyDQoLNbh0iVoP37ghQkoKg7Q0WljJcQw4jrawcXQkcHKiDTkDAjgEBhIEBXE1bigJlK2MNRo3fPONFJGR1bsE339fjUWL1Jg/X4ply8q8bMobtCUkcBg5UgaVSoSBA9WYO7dywd21S4y//9Z9/p49ORw7Rj9HkUg3E8zJieDddzXYtEnCF7pKpQRjx9LPb8cOfQHp2pWtVWGpa1ExhIWFBV+TxrIslEolfvnlF+zZsweEEPz222/IzMzEkCFD6sTm93nE7ITlaWAYptoBfEIIEhISkJycjODgYDg6OtaJh0pt4OVFcPmy/u15efQMPCeHQUoKA3t7egRoY0OPX/z9/eHlpcDs2UBqqhRHjpyDlVUrAL46j3Pjhgi2tvQo0NLSEkFBQXrtzY8fF6NPHw4dOnCwsaGpwq1acYiPp3EW7W6lYkzn118l+OgjNQy1e2vYEJgzR40ZM2SYN0+KQYNY+PoS+PgQrFypwqRJcnz9tRSNG3P47TclRo+WV9qI8fXX5di7V4NvvlHB0HWttYwWiUQIDQ2F9Iki2NgAvXtz6N27/oroiouB1aslmD+/+hPiggWFmDZNhMmT5fjnH8mT21R4772yZIMHDzgMHChBdrYMLVuy+O03td5nUp4HDxh+Z6PFy4tDYiIDjqO7Fa2Vs5ZPPlFDKgWWL9fdrWjrkH77TX86qZi1OGrU02eEmUJUKiIWiyESiXD69Gls2LABLVq0wN69e7Fu3TokJiZi/vz59T4mc8TsgvdPS3WERaPRICYmBunp6ejUqVOlovKsHiq1QcU0TS2pqQwfAH30yPCE6+VlwV/Ujo7d0aWL/k7rwIESXLhwAXZ2dmjbti0kEgnatiU6NS67d4v51FutIZg2w0zb4wugPcDKB2mzshisWWN83fLmmxp07syiqIjB+PFyPhY0ZgyL99+nO51335WhtJTBH39UXVy4dasE/v5WWL5cgvLxcYVCgcuXL0MulyM4OJgXlfomLw9YulQCf3/LaouKnR2LZctuwdPzIrp0UeOffyQQiwlWr1bodBS4dYtD375ipKdboGlTFnv3Ko1mCwJAURHwyitynTYrEgmBry9BQgKdEioKeZMmHCZN0uC33yR4/Lhs2tBm5926xegdiTo66mcSvv/+0wmLOYgKAERFReG1117DTz/9hDFjxiAoKAhffPEFzp8/j3nz5plkTOaI2QnL01bFVtXWpbS0FBcuXIBGo+FNwzQaDQghBj1Url27hhYtWqBJkyZ1WqlbGcayZ1Qqhp/EK3N01DaDvHJFjsGD9esXjh4tOz7Mycl5IrC6bfjv3RPx/aBefZW+vzExIgQFceA4RicrzddXd7wrVkiNCp9IBPz2mwpOTgRXr4owZYqMP3ZZvFiNMWM00GgYvP66DDk5DLZuVcLauupYyty5Mnh5WWLJEgnu3i3BpUuXYGdnhzZt2tT74oAQmn777rsyeHpaYf58mdFsvIp07szi/HkVvLz88dFHvREfbwcbGw3mzbsMH59juHbtGlJTU3HypAq9e8uQlmYJf38O+/cb3rVp0WjoDk/bR07LSy9xlXZS/uEHFYqLga++KhPmUaM0vO3Cr7/qLyIGDWJx5Iju8wQF1Xx3aC6icurUKYwbNw4//PADXn31Vb15wVTzhDlidsLytFS2Y8nNzcW5c+dga2uL0NBQncyvikH6+Ph43Lt3DyEhIU9lzFWbNG9ufCLVzpEVJ4jy9OhBX+OpUyI4O9PsnfLcvWsPd/cQiEQi3Lp1CydOnMC1a9cwaJBue9pffqGTRpcuNIOqpIR50qtMt2Dy9m2RTlyosJDB1Kkyo3a4jRoRbNyohERCsG0bDdpzHBWdX35RYdIkNTiOwQcfyLB/vxgHDyrQpEnVE5NKxWDxYhnatnXC1193Qmxs62duglhdOI6KyRdfSNG6tQV697ao0gG0PNbWBCtWqPDnnyp8+qkU48bJkZfHoF07FhcuqPHhhy0REhICKysrrFmjRHi4DQoKZAgMLMW+fXk6fcIMje2DD2S8YZuWVq04vq2+IV59VYMePTjMny/VcfbUxtCKi4E1a/R3ghERGuzdq/vaa6rt5iIq586dw8svv4ylS5fijTfeEESkCl54YUlJScHly5fh7++Pli1b6mR+ld+paF0hc3Jy0LFjx6c25qpNAgKqnkS17ewNoRWWkyfFKCkBwsJ0d3Qcx+DQIdpapmvXrmjXrh2srKzg4BAPT88yN69//xUjMZEBwwCzZ9PJ5OZNGsQv74cO6HexPXpUXOmRWM+eHH77TQWRiOD33yWYPFkGlYpOQD/8oMbcuSowDMFvv0kwebIcP/ygwrvvVt++9sQJW7z9thyenlbo21eOBQukT1wsq/0QlVJQAJw/L8L330swZowMNjZW6N3bAt99J9U7GqqKUaM0OHtWAZUKaNfOAjt20KOvjz5S48gR5ZP+bgwkElt8801zrFjREmq1GL16FeLbb6ORkHAa586dw927d5Gfn69T10VFRaqXDuzvzyE7G0YTJLy9OXzzjQpXroiwfn2ZeEyZouZTvbVxn/JYWxOjfeyqC8dxuH79uslF5dKlSxg5ciQWLVqEKVOmCKJSDRjytFWFdcjTmHZdunQJ7u7u8PLyAlDmRJmUlIS2bdvCycnJaDylpKQEsbGxsLCwQJs2bWq1f9CzoNEAtraGiyTbtOFw8yYDjYbB9eulBus5CAFatbJAYqIIf/5ZCoa5i1df1W2KFxDA4dIlhV5twfr1LD74oKyobsiQFCxdmgdHR2eEhTng0iUxAgPpGCq28NAmFmgRiwl271aiZ0/jQvnPP2K8844MLEv9Tf76Swltn8SjR0V48005srIYiEQ0M6lnTw5ffSUxWqFfHRiGoEcPDr6+tNOzmxvNALO0pCm3cjm1dy4tBUpLabZYSgrNHnv8mMHlyyI+O+pZ6NOHxdy5aty9y2DBAikePqSCFBzMYvVqFV8jAtA2/FOmSPHwIW2RP2eOGh99pIFIRBdH2lTmrKwsiESiJx20nTF/vjv+/FN3YnZ2pq/VmFWBREJw5IgSgYEcuna14C0VXFwIoqNLYW9POzw0aWKps5MBgDFjNOjRg8V775XF9gYOZLF9e/Wuba2olJSUmFRUYmJiMHToUHz++ef46KOPBFGpJi+MsERHR8PR0RE+Pj7QaDS4fv06CgoKEBoaigYNGhgVldzcXFy9ehXu7u5o2rRpnVXSPy19+sgNenJIJAStW3OIiRHju+9UmDzZcHxpzhwpvv1Wiq5dszB//jXMmtUdMTG6wrljhwL9++tO+mo10Lq1BZKTyxwF16+/CienJCQnu2L69A4ghEHLlhxu3qQmUuVrHmxtic7uxc6OYP9+hc4kWZGjR0V49VU5CgsZeHhw2LBBxbf/yMoCPv5Yhi1bJPzjffihGs7OBCtXSvmg8/PE6NEavP22Bjdv0h2Pdofj5sbhyy/VePVVlj9qzMsDFiyQ8r4xrq4qbNjAolcvw+8nx3HIy8vDw4fZ+PBDT1y+rOsw5uJCIJcT/vM1xJIlKnzwgQbvvy/l+5EBwO+/KzF6NN0N//WXGO+8YygxRIEff5Rg//6y79q5c6Vo06bq6cZcROX69esYPHgwPvroI3z66aeCqNQAsxQWlUpV4/YsV69ehY2NDTw8PBAdHQ2xWIygoCBIpVKjjSQNeaiYG8uWSTBvnuELKzSUxZUrYnTvzuLAAcNifPWqCl262EEkIoiNLcLZszJMmaI7EXTuzOLIEaXermXLFjEmTSq7b4cOLA4eLEZeXjY++cQS//7rhgYN1E8K6vTP2CUSotNS38mJ4OBBhU6n4YrExVEPk4QEERiG4P33Nfjss7K05cOHRfj8cxmftODgQPDGG2pYWmZg1y5LXL+u3w7enPD15TB+PIt27VgcOybG5s0SvkDR0ZFg2jQ1pk7V8N2QNRraEn/xYil/v5Ejs/Hjjxawta18oktMZDB2rBzXrumKh42NClZWHNLTjfgbAHjtNQ3WrFFh924xxo8v+w4MHqzBv/9SY7PSUqBFC/3dSpMmdBdsb6+72y4qKqmy6t5cROXmzZsYNGgQpk6dirlz5wqiUkNeGGGJi4sDIQRZWVlwcnLizXW0Rj/lg/SEENy7dw/Jyclo06aNQW8KcyE6WoRu3QxPAMHBLGJi6G7m1q1SeHvrvmeFhYWIiYnBvHmdceGCLaZPV2PePDVat7ZASoruZLNzpwL9+unuWggBBg6U62QLzZunwv/9nwYKBdCtmxw3b4rh6KhGQYEIanXVx1JOTgRbtyqNOl8CNBg8a5aMD3p7eXFYulSNYcNod2KWBTZvpi6Q2mMjiYRD375qdOnCIDeXwc6d4hrHOOqKRo04DBrEokMHDpmZDCIjxTqNJr29Obz/vgavvVYmKCxLCw6/+krKF6M2alSIOXOyMX581e2EDh4U4a235Hqte1xcCFiWIDvb+HvTvTuLXbuUuHWLQd++Fnw1vZsbhwsXFLy98jffSLBggf7Ev3ChCm3bchg2TPd7W1xcUumYzUVUbt++jUGDBuGNN97AkiVLBFF5Cl4YYbl8+TKys7PRrFkz+Pj4gOM4/jHKH2+V91AJDg6uloeKKSEEsLY2HGeRyQiaNye4fl2EL75Q4dNPy47DsrOzce3aNfj4+ODOnSYYMcICVlYE16+XYtcuCWbO1L1omzWjk0bFa/nmTQZdu1rwQXqJhODYMSXataPxlV69LFBUxMDFhUNGRvUmcgsLgl9/VSE8vPK6o4MHRZg5U4bERK3FMu1O3LMn7U6sUrFYuzYFmza54sYNO/7/2doS9OvHws+PgGWBK1dEOHNGpGdIVlfY2VEf+pAQDnZ2NN60f79YZ+cgkRAMGcLitdc06NeP47OlVCoqmitW0M4EAODgwOLll29i6lQp/P29K33u0lJg4UIpvv9efwfp7k4z+irLkGvWLBdr195DgwYuGDnSS6dmZe9eBXr1oguC1FQGTZpY6v1/a2uC+PhSzJ8vxS+/lI0hOJjF6dPGj7jNRVTu3buHgQMHYuzYsVi2bJnZHY0/L5ilsKjV6mpbimodHO/fvw8HBwe0a9fOaDylvIdK27ZtTfblrSlffinFihWGC/vatOFw7ZoILi4Et26VwsKi7IgvICAAHh4eIATo1Yu2Y58yRY3Fi9UICbHgJ2wtCxaoDPqyr10rwaxZZe+VuzuHU6eU8PAgOHhQhNGj5eA4BnZ2pEbB7Bkz6A6qsprFkhJg+XIpfvhBwhfbde7MYsoUJby8LkMk4hAUFIQ7d+TYvFmCLVvEOpMhwxAEBBCEhNDOARoN7ez86BGDO3cYpKU928Th7c2hZUuCpk05SCS03Y5aTXealy6JoFKVvR8iEUHXrhzCwliMHKnRqTdJTGTw228SbNwo4b1YHBwIJk7MR/v25xEa2hienp6VjuXiRRHeeUdmMN7k5sYhK4upVFzbtGHxzz8ZyM7OwqRJPrh7t6zKctGiYnz4oXbHD4wbJ8OePfpJLtrP1M5OdzFUWXxFKyqlpaUICQkx2XX58OFDDBo0CGFhYfjhhx8EUXkGnmthYVkW169fR15eHlxdXaFSqfgjsPJHX0DdeajUBzduMOjQQX91CJS1zEhPZ7BqlRLduycgKSlJ74jvxAkRhgyxgERCcO6cAvfvizBmjG6sRS4nOHVKoWPlC9CJZPRouY5VbkgIi4MHlWjQAPjpJwk++ohOBpX5thiic2cW69apquxSnJZGBWbDBgk/Wbu6KvD228D48YRveKmtIzl8WIxDh8QG63xEIlpl3qwZgb09ASG0Hkckoit+kYh2GiCEeqTIZPS9YVkGGg3dcclk9HfJybThZmIio5d6DVAR7taNQ69eLAYPZvljJADIzwf27hVj61YJjh4V8dXubm4cpk/XICwsBQ8fXkerVq3g5uZm9L3Jy6MukmvXSvQy9KRSAjs78M1IjdGuHc3YksmAsDA5Ll8u+6yHDEnF229fgo0Ndcs8caIR3n/fTu8xZDKCmzcViImhi43yGIuvmIuoPHr0CAMGDED//v2xdu3a52p+MEeeW2FRKBSIiYkBwzAICgpCWloaHj16hObNm8POzk7ni5GRkYG4uDj4+/vDx8fnuTwz7dLFwmgxZNu2HK5eFcHDQ4G1a0+iY8cgg/4bL78sw759Erz0EhWF0aPlesVyLVtyOHVKAcsKOpafD/TpY6HT1bhXLxbbtilhYQGsWCHBl18+3aRgYcHh//6vAB99JIFUWvkFff++Al99lYv9+72Rl1e21XnpJRYjR7IYOJDV6aqcng5cuiTGxYu0g8C1a6I6K5a0tqaZem3aULfJl17i0Lgx0ZlQU1IYHD0qwt69Yhw5ItbZ0fTqxeKttzQYMoRFVlYqbt68idatWxu1aGBZ2uxzwQKpXgAdoCLPcTAoeOXp14/Fpk1KaDTAiBG6WYg9e7LYsUMJhqFumTdu5GPUqLYG42lTp6qxdKkar7wiw86dursZQ/EVcxGV1NRUDBw4EN26dcMvv/xikvZNLxpmKSwajabSvl/5+fl8enGrVq0A0JYtd+/eRVZWFsRiMVxcXODi4vIk5fJhvXmo1BW7dulm55THxYWDUskiP1+KxYuLMWOG4YkkKYlBaCgNxn7/vQpDhrBo185C7/hq4kQNVq1S6a0wHzxg0LOnhc4kNnAgi7//VkIup80JK/NQqYrGjfMxa1YqBg60gKOjo94FXlhYiOjoaLi6usLbuzkiIyX45x8JTp4U6fS2Cgjg0L8/i65dOXTqpNvSnhAgI4N2Cbhzh9akpKbSrsaZmbRepbiYWvGq1YBUSos1xWICGxvqe29vT4+pPD0JfH2pj4uvL4G3N9Fr/JiayuDiRRHOnhXh2DGxjjADQIsWHEaO1ODll1k0aaLt/0adLdu2bWswsYTjgD17xFi8WGrUw6W6O8c33tDgu+9UyMpiEBEh17EpeOklKiraMKRKRZM5LlzQn3htbDSIikpCgwaOaNlSt33Q6tVKTJyoez2XF5XyjUHrm/T0dAwaNAihoaH4448/BFGpJZ47YUlLS8P169fRuHFj+Pr66gXpOY5DTk4O0tPTkZaWBo7j4OzsDC8vLzg4ODy3W1yNBnBzszQ6WTRpUoS7d63h4EAQG1sKY4luq1ZJMHu2DJaWBP/7nwJ37ogwbpy+YH39tcqg/W9MDIMhQyx0Vv09e7L45x/a+PDPP8WYOlWm1xm3JnTunIFXXrmBkBAL3hBL22na19eXd7XU8vgxg61bxdi/X4xz50R6x0EBAbQVTcuWHFq14tCqFYGHh74IPAtKJXDvHoP4eBHi4xncvCnC5csivToRhiFo145D374chg/XoFUr3csvMTER9+/fR1BQEOzLu3eBCsru3WLevuBZkMlo65g33mBx+zaD8HC5zlg7dGCxe7cS5Te+H3wg1am+L89HH6Vi8OBbWLfOE1u2NNf5XW5uiU5SiLmISlZWFgYPHoyWLVvi77//NpvC6BeB50ZYCCG4f/8+7t+/jzZt2sDFxQUcx4FlWb0gvdZDhWVZ+Pn5ITc3FxkZGWBZlndbNLQiNne2bhVj4kTDuxZbW1otnpHB4NVXNfj5Z8MdgTkOiIiQ49gxMVq14nDihAKffy7FunW6FzfDEGzZQnc1Fbl0SYSwMLlOG5C2bTls366Auztw5IgIb7yhn+paU/r2zcfIkbfh7p4KAHB1dUXTpk1hWfGcrhw5OcCRI2KcOkVFRlstXhGZjO44vLzon05OBLa2dFfSsCHRccgE6LFTURGD/Hza/qSggMa1Hj1i8PixCBkZ+h2BARrPadWKoH17Fj170liLIVMwQggePHiApKQkBAcHw9a2bNVfUAD89ZcEP/8s0bMQfho8PTn89ZcKHTpw2LtXjLfflqGgoGzs3buz2LxZiXJDwIYNtJebIVq14nD6tAIcBzg7W+oJe2zsVd4tkxBiFqKSk5ODIUOGwM/PD//+++9zk8jzvPBcCIs2RTg3NxchISGwsbGpsYeK1m40IyMD6enpUKlUvNuik5PTc7Fa4TjAz0+/IE1L48Yc7t9nQAiD3bsV6NPHcJwqLQ3o1MkSmZkMRozQYMMGFSIi5Dh5Uldo5XKCf/9Vom9f/ce5fFmEkSPlOmNxd+ewaZMKHTtyePiQwSuvyHXMxZ6WwMAsjB+fh06d0lBYmANra2v+qFNrE2uMzEwaY4mLY3DjBjX0unOn8uyop6VhQ4IWLTi0aEHQvDmH4GDuSTZa5f9Pm9mYkpLCf78JAWJjGfz5pwSbNkmq3RW5KsaO1WD5chUaNqRpyVrTMC2jRmmwbp0K5f3sDB3DikQEHEdb7Jw4oURoKId16yT48EPdCXrFigy89NJDZD1pzqa9Htu3bw+LiupdT+Tn5yMsLAyurq6IjIysV/O+/wpmKSwsy/It8JVKJaKjowEAISEhlVbSa2s3GjVqhMaNGxudcAghKCoqQkZGBjIyMlBSUgIHBwe4urrCycnJrFcvUVEihIUZvyCbNeOQkCCClxeHs2cVRo/EzpwRYcgQOdRqBp9/rsKUKRr06GGB+/d1hcDCgmD7dsN9vu7coefy2iJFgGYhffONGpMna6BUAp98olvP8Cy4uXEYM0aN3r3T4eT0GNnZWZDL5bzI2NraVisxQ60G0tIYJCfTHcejR7SosrCQNtEsLGRQWqrr1Mkw1L+9YUP6p60t7bXl6Ung6cnB05PA2bnmfu6EENy+fRsZGRkIDQ1FTo41Nm+mFfkVXTqfBUdHgu+/V2H4cBYPHzKYPFmGM2d0FxIzZqixcKGuQZg2m7AiMhmBSsVgxgyavq5SAc2bW/Kp0lry80sgkdDFYnR0NEpKSiCRSKBUKuHg4MD7yNeXyBQWFiI8PBwNGzbE7t27TSZuLzpmLSwFBQWIjo6Gvb09WrVqBZFIZLDdPUA9VO7cuYOAgIAat7svLi7mRaawsBD29vb8ZGVOqxntccnkyU44d85w+qm1NYFYTCfI8u03DLFxo5hvEvj99yr06cOib1+5Xm2HpSXBxo2Gj8XS04EJE+R6k9TAgSxWr1bCzY2K4dSpMqPNDp+G5s05jBypRteuWXB0TEFWViYYhuFjMg4ODmZ/1EkIwY0bN3HpkgaJiW1x5IhFrezwKvLaaxosWKCCkxPwxx9ifPyxri+MtTXB2rUqjBih+/keOybCiBFyvd2diwtBRgaDkBAWx47RFOXVqyX4+GPdBZmfH4e4OAU4jsO1a9egUCj446/i4mJkZmYiMzMT+fn5sLGx4T87a2vrOsncLC4uxogRIyCRSLBv3z5YWRkuPK5r5s2bp+c06erqirS0NJOMpy4wW2F5/Pgxrl27Bn9/f/j5+RmtpOc4DgkJCUhLS0NQUNAzt7svLS3lRSY/Px+2tra8yFR2tl/XaL1isrKy4OERirZtnY3e19WVICcHUKsZLFqkwocfGjdAmzePHocwDMGGDSoEB3Po3dtCLz4iEtEV76RJ+uKiVgOffy7F6tW6OxNHRxogHjmSRVERfa516/RrLZ4VNzcOffuy6NKlAE2bpoBlU6BWq+Hk5MSviE11ll8RQmiQ/+RJBnv3FuHyZRvk5NTN4iUoiMN339FYSkICgw8/lOHECV2xbdGCw6ZNSrRooTsN7N4tNpjUoU1tb9iQ4MwZBfz9CbKzgZYtLfWO627cKIW3N6snKhVRqVTIysriuzLLZDJeZOzt7Wsl4aakpASjR4+GRqPBgQMHYG3IM7uemDdvHrZt24ajR4/yt4nFYjg7G7+mnzfMUlgeP36MmJgYtG7dGq6urkaD9Gq1GtevX4dCoUBwcHCtT/xKpZIXmdzcXFhbW8PV1ZU/268vNBoNrl27BqVSieDgYFhYWGDTJjEmTzY+Ibm5cUhLo40c//1XhcGDDWfZEQLMnEmD9yIRwZo1KoSEcBg82MJgLOfDD2lltaGQ1I4dYrz/vkynZT5A28KvWKFCkyYEcXEMZs/Wn+BqE19fDsHBSjRvngt39xQ4OWXA27shP1nV1/EHITTd+OpVBjExIkRHixEdLUJ6et3WUfn5cfjsMzXGjGGhUABLl0rx/fcSne7TAK07mTdPjYoLd2OB+r59WRw9KgbDEGzerOKdRmfNkmLtWn3BKCwsqlJUKsKyLHJycvjdDMdxcHR0fKYFgkKhwJgxY1BUVISDBw/qJEaYgnnz5mHnzp2IjY016TjqErMUFpVKxW+PjQXpS0tLERMTU28eKmq1GpmZmUhPT0dOTg4sLS15kamrrTtAxS0mJgZSqRRt2rThLyxCgLFjZXoOfeXRtlhp0IDg8GEFgoKMtdQApk4ta/q4dCk99goLk+vFXACaNbRxoxKGyoJSU4GpU+U4dEg/EWDaNA1mzlTD1hbYt0+M+fOllVor1yYuLmo0alQEN7dcNGpE4O8vQ0CANZo2tYCzs34WWHVgWdrOPy2NQXo6/Xn4UIS7dxncvUv/rK2ge3Xw8ODwySe0mSUAbNwowZIlUj0h8/bm8PPPZZYEWtRqYPbsstb85QkP12D3bjEIYfDVVyreuz4ujkHHjvoLuh07SuHiElMjUamINuFGKzLFxcWwt7fnFwjVWUgqlUq88soryMjIwJEjR/RSuE3BvHnzsGzZMtja2kIul6Njx45YsmQJ/P39TT20WsMshYXjOCiVSqNBelN7qGg0GmRlZSEjI4PfumtFpmHDhrUmMkVFRYiJiYG9vT1atmyp9zrz8gBPT+PnxBIJQYMGNN7i6krFRVuEVxGOAz79VIpVq+gE8H//p8a776oxapTcoJmWhwd1fuzaVT+oTwiwaZMYn38u09v12NtTR8QpUzSQy2mh35IlYsTFmTYrTyajgXltyrFUSutcxGLa4oUQoLiYQUkJUFRECygLClDrx3pPQ0AAh/ffpzsUsRjYto3WulRMTZZKqQ3B7NlqVNxwp6UBkybpZwYCtGD2zz/FYFkGkyersWKF+kkTUKBnT8MdIc6cOftMomKI0tJSXmRyc3PRoEEDXmQMXXdqtRqvvfYaEhMTcezYMbPpYn7gwAGUlJSgWbNmSE9Px6JFixAfH48bN26YzRifFbMUlr///hslJSUYOHCgXnsWc/NQYVkW2dnZyMjIQGZmpk7Vv729/VOLTE5ODq5evQpvb2/4+/sbfZyrVxl06WJ85SYWkyfjZODpyeHwYSV8fQ1/5ITQVugLF9JjkKFDNfjhBxU+/bTMYKs8DEMwfboGc+eqDa74c3OpOdUvv0j0ajxcXAimTlXjlVcKcOfOFdy65Yf9+/1x9Kj5p32bAwxD0Ls3h2nT1OjXj0NpKfDnnxJ8/71Er7koQI8jly9XoVkz/c/+8GER3n5bbvDoc8oUNTZsoMdo48fT+ijt5bhokRRffaUvGvPmJaBbt0d1WqdizC1TJBLBy8sLFhYWmDRpEuLj43H8+HGzjl8UFxejcePG+PjjjzFz5kxTD6dWMEth+fnnn7Fq1SokJCSgV69eiIiIwMCBA7Fo0SKwLIsFCxaYpbJrq/61cRkAvMjUpOo/NZX2iWrRokWVHW0BIDJSjAkTjMdbxGLyxLqWgY8Ph337lPDzM/6x//WXGNOny6BSMQgI4PDvv0ocOiTW6XBcnoAADj/9pEK7dobrZq5dYzB3rgyHD+uvhi0t1Xj55Vx8+qk1GjWiKczr1tHajbrq6fU84+nJ4bXXWEyYoIGPD8GjRwx+/12CX36RGBSG4GAW8+er0bs3p5cdqE2oMBQfsbMjeOUVDd/YctQoWu+kPXG+dEmEnj0Nnx8ePRqFdu3qr/hR65aZmZmJb775Bjt37kSTJk2QnZ2NI0eOIDAwsF7G8Sz069cPTZo0wdq1a009lFrBLIUFKMvv3759O7Zu3Yq7d++iQYMGeOedd/DGG2/AxcXFrJtJEkL4iv/qVv0TQvDw4UM8ePAAbdq0gZOTk4FHNsySJRIsXmy8/kYsJnybFVdXgt279bsYl+fiRRHGjpUjPZ2BjQ3NCPP2Jpg4UYZHj/QFkmEIJk5kMX++ymjtzP/+J8K8eVKDVssiEUH//hzefFOD/v1ZaDTAwYNibN4sxsGDYr3A838JBweCYcNYjBih4euJDh0S49dfJTh0SL+FDUCbiX7+uRrh4azBdPMjR0R4/33DKeBdurBo3pzgt9+oikyapMbKlWreMyYtDejWTd8sDgCWL4/FW2/5mSwLT61W491338Xly5dhbW2Na9euoWPHjpgyZQomTJhgkjFVhVKpROPGjTF58mTMmTPH1MOpFcxWWLSkpKRg2LBhEIlEGDhwIA4dOoQrV66gS5cuCA8Px7Bhw+Dh4WH2IlNV1T/HcXyhXHBwMBo2bFj1A+s8B+3lVN6bvDLs7KiTY5cuxrtIp6QweO01Gc6dozPK2LEaLFyoxsKFUj7QXxEHB4K5c9V4/XWNQZ8VQoDdu/OwfLkE0dGGm4K6u3MYN456lrRtS5CbS2MxBw6IceyYmHc0fJHx8qKNNMPDWfToQY3ALl4UYds2MSIjJUYzy7p3ZzFjhhr9++vvUADg4UMGX34pRWSk4c/vnXfUuHNHhKgo+pl//LEac+ao+cdSqYAhQ+Q4e9ZwVl9eXr7JRIXjOMyYMQNRUVE4fvw4fHx8kJqain379qFBgwYYN26cScZVkVmzZiEsLAze3t7IyMjAokWLcPLkSVy/fh0+Pj6mHl6tYPbC0r9/f3h5eeGnn36CTCYDIQRJSUnYvn07duzYgXPnzqF9+/YIDw9HREQEGjVqZPYio636T09PR2lpKezt7flkhZCQkKdOm+Y44JVXZNi9u3pxCpmM4IcfVJgwwXgnaY0GWLpUgq++koLjGHh7c1i5UgW1msG77+qnFmtp0oTDnDlqDB/O6lRyawtZW7dujZQUF6xZI8X27WKjzTUbN+YwYgSLiAgqMkolcPKkCIcO0X5gFbsFP69YWxN07MihTx8W/fuzaNGCQK0Gzp0T4eBBMXbsEOs1tNQilxOEh7OYPl2DkBDDC4X8fGDZMilWr5botOrXYmlJMH++Gr/8IsGdOyJYWNDU8zFjyr4bhADvvSczuqi4caMAvr6miZFxHIfZs2djz549OHHihFlnWI0dOxanTp1CVlYWnJ2d0alTJyxcuJD3knoRMHthyc3NhZ2dnUGxIIQgJSUFkZGRiIyMxOnTp9G2bVtEREQgPDy80qC3uZCbm4tr167xadXPWvWvVgPjx8uwf3/1L/Dp02lbjsoK1c+fF2HSpDKb4FGjNPjySzXWrZPoFUaWJyiIw6efqjFokAYPH97nmyyWL2TNywP++UeCDRsklQqFqyt50h2ARe/eLJydabrv2bNi/O9/Ily5Qv1WamI0Ziq8vTl06MChc2fa2j8wkHZMePiQwalTVDijosQ6jT4r0rIlhzfe0GDsWI3BxpYAUFgIrFsnwQ8/GPZsAYBXXtHA1ZXgxx9pkN7Li8PmzUoEB5dNDYTQIlhDlscA8M47SqxYUbnVdF3BcRy++OILbN26FSdOnEDTpk1NMg6BMsxeWKoLIQTp6enYuXMnIiMjceLECQQEBPAi07x5c7MTmeLiYkRHR8POzg6tWrXSKch8lqp/lgUmTZJh27bqi0v37ix+/VUFd3fjX4eiIpoJtHq1hLci/vJLNTp04DB7ttTo8QgA+PmVIiLiLmbOdIWDg+GqZ0JoUHjrVjEiI8WV2gYzDEHLlgSdOrHo2JFDp04c/P2psVVCAoPYWCoyd+8yuHdPhPv3GZPEadzcNPDzAwICCFq3JggMpK37bW3pIuDWLQYXLohx+jT1bDEUtyiPlxeHiAgWo0axaNfO8HEXQHcoP/0kwapVUqO7Snd3GofZvFmC06fpZxcWRr14Kob3li2TYN484zG8goKSShcmdQUhBAsWLMDGjRtx/PhxBAQE1P8gBPR4YYSlPIQQ5OTkYNeuXdi+fTuOHj2KJk2a8MdlhmpC6pvc3FzExsYabZj5rFX/HAfMmFH9mAsAODkR/PyzEgMHVu7eGRPDYNq0ss7FTZtyWLiQnsN/8YUUd+4Yf2/d3WmA/vXXWXh4GP/qsSxw9qwI27eLsW+fuMoJVzv+1q3pxN2yJYfAQIKAAA5WVvRILzmZwcOH1NSr/E9ODoOiItoOv7CQ/qlW0/ew/I9MBlhZ0WMjKyvAwoLW5bi4EDg7EzRoUIKSkkS0bWuPFi1kkMvTkJ+fDoVCCULcUVjojrQ0e9y4IUNsrAg3bzIGj6Uq4ufHYehQFiNGUDGp7KubkECz6v76S1Lpbufzz1UoLWWwerUESiUDa2uCpUtVeO013WA/ITRlfOlS49+juLjSSrMM6wpCCL7++mv89NNPiIqKQuvWret9DAKGeSGFpTyEEOTn52PPnj3Yvn07Dh8+DC8vL15k2rZtW+8ik5aWhhs3bqB58+bw8vKq8v5PW/VPCLBypQRffFGzbs3vvKPGggVqVNZOSaMBfvtNgkWLyo5YunZl8dlnaiQmMpg/X1rpjkMsJhgyhMWbb2rQqxdX6WqXEODmTQZHjohx+LAYZ8+KarT7cHOjLo9lTo8cXFxoLzMnJ60Xy9N0JgYUCuqX8uBBLs6fT4Jc7ofSUgfemfL+fQZ37zIoKan+d6xBA4Lu3Tn060eP/Ro3rvwSValolti6dRI+6G6Mt95So21bDt99J+W7KvTpw2LlShX8/XWfh+NouxZDlfhavvtOhcmTjfeiqysIIfjuu+/w3Xff4dixYwgKCqr3MQgY54UXlooUFhZi37592L59Ow4ePAgnJycMGzYMw4cPR7t27epUZAghvENg69atn6po62mq/o01FKwMHx8Oa9aoDLbLL09BAbBihRQ//iiBQlEmMNOnlyImJgmbNvkiObnyLrJubhxGjWIxZgyL4GDjxztaioupH8z58yKcPy/GhQvP7mMvkZTtQiwtCSwt6d+1viMsS3dR1EOe7mry81Erx2uOjmp06sSia1cGnTsTtG3LoSrnBkLoe/D332Js3y5Bdnbl43jzTXpkuWGDBBcvUvFxd+ewdClNsKj4nhcWAm+9VXnLoK5dWRw6pKzWa6xNCCFYtWoVvv76axw+fBjt27ev9zEIVM5/TljKU1xcjIMHDyIyMhJ79+5Fw4YNMWzYMERERKBTp0612nadEIL4+PinTic2RE2q/mNiGHTtWvNss9df12D+fBWq0sBHjxgsWybBH3+UZR21alWI//s/KaRSBmvWSPRa6xuiaVMOw4axGDyYRfv2le9ktHAccPs2g+vXRYiL0/5QZ0dzgmEI/PzocV3r1hwCAtTw9MyCVJrCe8toa50MJaxwHE053r1bjD17xAb7uFVkyhQ12rXj8M8/Ehw7Rt9MK6uyvm2GTMju32fw8svyKjPuKloO1weEEKxbtw7z58/HgQMH0Llz5/odgEC1+E8LS3lKS0tx5MgRREZGYvfu3ZDL5QgLC8Pw4cPx0ksvPVOTS5alrcNLS0vrpAszUL2q/9xcYNQoucECxcqwtyeYM0eNN9/UVDnRJySUYN68Ihw86A2lkk5MHh4c3n5bg44dOezaJa70aKU8Tk4EAwawGDiQRbdubJXiVpHcXODBAxEePmTw4AGDxETaJDItjUFmJoPsbPBFo7WBVErg5lb24+FB4O9P0LgxTSzw9SUwluin7eqrXSQAgLOzM8RiN1y75oSTJ6XYv1+sZ6RlCDc3DtOmaeDoSPDrrxJcukQ/NLGY4I03NPjkEzWMWRZt20Y7VFe1A0xNLUEtrI1qBCEEv//+Oz799FPs3bsX3bt3r98BCFQbQVgMoFKpEBUVhe3bt2Pnzp0AgKFDhyIiIgI9evSokcOkUqlEbGwsxGIx2rZtWy/FY5VV/dvbO+KHH+SYM6fmS83WrTksXKhC376Gj6vy8vIQExMDb29vNGjQGOvWSfHrrxJkZtI7y2S03mL4cBbZ2cDWrRKcOlV9kWvVikP37rRgsEMHFq6uNX4JOnAcFZ+sLOogWVpKYyYlJbTZpELBgGHocZhIhCd/B+RyQKFIR0HBI4SENIGnpw1sbAjs7Wsep6lIZiZw4QKDo0dZnDghxp071V+EhIVpMGgQi8ePGWzcKOE7JMjlBK+9psEHH2iMBtkLC4FZs2T466+qF1D37pXAzbDPXJ1BCMFff/2FWbNmYffu3ejVq1f9DkCgRgjCUgUajQanTp3C1q1bsXPnTigUCgwdOhTh4eHo3bt3pd4excXFiImJQcOGDREYGGiSTDRjVf/p6V6IiKg6ccAQ3buzWLhQrdMbLDMzE9evX0fTpk11moMqlcD27WL89JMEV66UiYibG4exY1n06MHixg0R/v5bUuMW+t7eHEJD6U9ICM0Eq+teg4QQ3L9/H8nJyQgJCXmmI83cXODGDVp/c+WKCJcviww2kKyMzp1p6rG1NcGBA/SITLsLc3QkmDhRg6lT1ZWK8P79YsyYIa3W0eG1a6VVJhPUNoQQ/Pvvv5g+fTq2b9+OAQMG1OvzC9QcQVhqAMuyOHPmDLZt24adO3ciPz8fAwcOREREBPr166djdZqeno5bt27B09MTTZo0MYsamopV//n5SvzzTzC2b/d4qscbMkSDWbM08PJ6hFu3biEwMBCulcxg0dEi/PWXGFu3SnRqK5o1o3GV1q05pKYy2L9fXKOdTHmcnGiKcUAAh2bNCHx9OXh704ywZzUNJITgzp07SE1NRWhoaLVcCIuLaZozTXUWIT6ewa1bIsTHP73hV+fORWjXLg1AIe7dc8Xp064oKBCX+z3Nths+nK3UZyYpicFnn0mxY0f1jnnj40vRqFH9TxeRkZF45513sGXLFgwdOrTen1+g5gjC8pRwHIcLFy7wIpOeno7+/fsjIiICubm5+Oabb7B//340a9bM1EM1SnFxMTIyMhAVpcCMGcHguKfbUbVpk4WPP+YQEWFdraMgpZKmx27aJMahQ7oNJr28OAweTLPD1GoG0dGiascWqsLRkcDTk9acODvTNGNnZwJHR+pbQ3/o3y0s6PGX9ggMIHjw4D4yMgrg4xMAwBIKBVBayiAvD8jOZnR+0tKomFSVrVUd7OwIwsJYhIbSGpZz50Q4ckSsU0nv4KBAjx7pGD9egS5dbGBra2t0MZObS9u7rF1ruL2LIe7fL3nmo8enYe/evXjjjTfw119/Yfjw4fU/AIGnQhCWWoDjOERHR2Pbtm3YsGED8vPz0a9fP4wYMQKDBw+uVfOvuqKgoBTLl2vw7bdPP3uEhLB4910NRoyofKVcnvx8KjJ79lCRKS4ue5/EYoL27Tn07s3B15dDcTGDK1dohXp1MqKeV9zdOXTvzqFdOw4NGhA8eiTCyZM0vbp8soGDA0FEhAajR7Po1EmN3Nws3ghLJBLBxcUFzs7OfPJGcTGwfr0Ey5cbr8aviIcHh+hohcHssbrm4MGDmDBhAn777Te8/PLL9T8AgadGEJZagmVZzJw5E5s3b8bKlStx69YtREZG4s6dO+jduzfCw8MxdOjQZzL/qg8ePWIwdaoER48+fZKBoyMNFr/5pvFgsSFKS4Hjx8U4coR2163ogCiR0FTdTp04BAQQiMUEmZkMrl4VITZWhAcPnj+xcXIi6NCB7kZcXOgu6f59Kp6XL+sXggYEcHymXKdOnMEO0hzHITc3F5mZmcjIyEBengjHjrXEtm3uyMur/hHjlClqLFumrrTSv66IiorC2LFj8dNPP+GVV14x62tGQB9BWGqJEydO4L333sO+ffvg5+cHoKx2Zdu2bYiMjMSNGzfQvXt3hIeHIywsDM7OzmZ7wVy5IsKYMTKkpj79rMIwBH37chg/XoOhQ1lYVV4nqUdSEoOoKCoyZ8+KDI7F2pqgVSsOgYEcmjYlTzK2gIICml6cmMjg4sWaVerXBSEhLHx8CJo0IbyAEELjL3FxVBgNHZu5u3Po2pX+9OtHH6O63L7NYP16CX7/XVyjyn8A2LJFiaFDTdNU8tSpUxg9ejR++OEHTJw40WyvEQHjCMJSiyiVSqMdiQkhuHfvHi8yMTExOp4y7u7uZncBEUIzhl5+ueZdlitibU3NqsaOpWZVNa09JYTupi5cEPE/cXEiKJWG3zNLS1qM6O/Pwc+PxlMIofESrY+9QgFkZjIoLGRQXEw97YuL8eTfBEVFaqjVDDhOCpGIgUQCNGxIkwCsrKiIWVoSNGxIj6UcHWn1vkhE26xoV/pZWQweP6Yxlzt3REa7DEultLFmcDBNp+7WjY69Jl8LpZJ612zYULNUbi3e3hxOnFCYJJ4CAGfPnsWIESOwbNkyTJ482eyuCYHqIQiLCdC2dtF6ypw/fx4dOnRAeHg4wsPDzc5ThuOAyEgOr7/+jGlVT3BxoX3Chg6lIlPdeExFNBrg7l2mXLU9zbpKSmKqVfgok1FRaNiQwMYGsLUlsLEhkEo5FBTkQioFnJ3tIZWKwDAEKhUDlQr8j1JJhSgvj9bB5OXBqNBVpFEjmrXWrBk91gsOps0zn8IpASwLnD4twr//SrBrlxi5uU/33Zkx4xYmTlTD1dUFNjY29f4dvHjxIiIiIrBw4UJMmzbNrK4BgZohCIuJIYTg8ePHvKfMmTNnEBQUxLf79/PzM/kFVtbe3x4PHrTGu+9aIC+vdsbUoAH1WBkyhEWfPqzRivCaoFbTY7T79xncvy/Cgwe0IWR6Os3WSk9nUFBQd++pSEQr7z096Y+HB/3Ty4ugSRN6ZFeNBtWVolAAp05RE7Bduyq3GKiKjh2z8eefIojFuXwPOqlUqtNepq5rsKKjoxEWFoYvvvgCM2fONPl3fs2aNVi2bBlSU1PRqlUrrFy5Et26dTPpmJ4nBGExI7SeMjt27OA9ZVq1asWLTLNmzer9gisoKEBMTAzc3d3RtGlT/vkvXBDhyy+l1er/VRNatODQsyetru/alTVqYPWsFBcDOTkMCgrKGkrm5Ghw40YSRCJLuLh4gGUZaDRlzSelUto6Xy6nux1tG307OwI7OwIHB/p3G5tnr8A3RFISg6NHRThwQIwTJ57dolkmY/Hdd7F49dWmOi2LyrcHyszMBMdxcHZ2hrOzM5ycnGq1hx4AXLt2DUOGDMGsWbPwySefmFxUtmzZggkTJmDNmjV46aWX8PPPP2P9+vW4efMmvL29TTq25wVBWMwUQgiys7N5T5ljx46hadOmfLv/gICAOl9F5uTk4OrVq/Dz84Ovr6/B+yQlMVi1qnIXyaeFYag5VocO1IekXTsOzZuTOslSKi0txZUrV2BnZ2cWfj2E0OD7mTNinDkjwpkzIr5FS22wfHkcQkKyEBoaUmkfPK3thDbDTKFQwNHRkReamrQ3MsTNmzcxaNAgTJs2DXPmzDG5qABAx44dERISgrVr1/K3aU0Dv/rqKxOO7PlBEJbnAO3FvXv3bt5Txtvbm2/336ZNm1qfCNPT0xEXF4cWLVrA09OzyvurVMC+fWJ89pkUSUl1Nyk3bEgQEsIhKIhW17dqRcWmphln5dEe9Tk5OaFFixb1PrmxLHDnTlna9NWr1P3yaWMlxrCxIdi4sRROTtFgWQ1CQioXlYoQQlBcXMyLTGFhIezs7Pgjs5o2V719+zYGDRqESZMmYfHixWYhKiqVClZWVti6datOQeYHH3yA2NhYnDx50oSje34QhOU5pKCgQMdTxsXFhReZ0NDQZxaZR48eISEh4ak9YxITGWzeLMaCBfXTU51haOfgli05NG6sNfSi5l7e3pXHM4qKinDlyhW9o77ahmWBjAwgOVmEO3cY3L1L/7xzR4R79xiUltbdpNq1K4uvv1ahTRsNrl69Co2m5qJiCIVCwYuM1uVUKzKVGdABwN27dzFo0CCMGzcOS5cuNfkOUUtKSgo8PT1x5swZdOnShb99yZIl2LhxI27fvm3C0T0/mExYFi9ejH379iE2NhYymQx5eXl690lKSsLUqVMRFRUFS0tLjB8/HsuXL3/m7feLRHFxMQ4cOIDIyEjs27cPtra2vKdMx44da3QeTgjBgwcPkJiYiKCgINjb2z/z+OLiGPz1lwQ//lj3XZ2N4exM4O5e1spF+2NjU4rs7Lto1MgBjRu7wdqatnWxsiKwsKBxkvI/WhQK2vm4tBRPOiLTjLDcXGpznJtL4zcZGTTN+PFjmjyg0dTvinz+fBUmTNDA1ZUW8NamqFRErVbzBnTZ2dmQyWRGvWUePnyIgQMHIjw8HN9//73ZiApQJixnz57V8XpZvHgx/vzzT8THx5twdM8PJhOWuXPnws7ODo8ePcKGDRv0hIVlWQQFBcHZ2RnffvstsrOz8frrr2PEiBH48ccfTTFks6e0tBSHDx9GZGQk9uzZAwsLC95TpkuXLlWepd++fRvp6ekICQmBTS338CCEiszu3RIsWWI6kXnRGTFCg2nTNOjQoczaoK5FpSKGvGUePnwIuVyOkJAQjBgxAgMGDMCaNWvMSlQA4SistjD5Udjvv/+OGTNm6AnLgQMHMHToUCQnJ8PDg3bf3bx5MyZOnIiMjIxacWB8kVGpVDh69CgiIyOxa9cuMAzDe8p0795dZ9fHsixu3ryJ/Px8hIaG1okRWUVSUhgcOiTCX39Jamw8JqDL+PEavPaaBl266BeesiyL2NhYcByH4ODgOheVihBCkJeXh7Vr12L9+vXIzc2Fu7s7FixYgLCwsFrZFdc2HTt2RGhoKNasWcPf1rJlS4SHhwvB+2piXsuFcpw7dw6BgYG8qADAgAEDoFQqceXKFROO7PlAJpNh8ODBWL9+PVJSUvDPP/9AJpPhnXfegb+/P6ZMmYIDBw4gIyMDAwYMwOnTp9GhQ4d6ERUA8PAgeOMNFseOKVFYWIIzZ0qxcKEKPj5c1f/5P469PcH8+SqcO1eKoqIS/PKLCt26mZ+oAADDMLC3t8ebb74JW1tbDBo0CBMnTsTKlSvh4uKCmTNn1vuYqmLmzJlYv349fv31V9y6dQsffvghkpKSMGXKFFMP7bmh/r9p1SQtLU3P28Pe3h4ymQxpaWkmGtXziVQqRZ8+fdCnTx+sXr0ap0+fxrZt2zB9+nSUlJTAzc0N9vb20Gg0JolfiURAUBBBUJAGM2dqwHFAfDyD8+dF2LmzzKv9v4qDA8Gbb2rQrRuLzp25amXAmYOoaMnKykJYWBiCgoKwadMmSCQSzJs3D4mJicjOzjbZuIwxZswYZGdnY8GCBUhNTUVgYCD2798PHx8fUw/tuaFWj8LmzZuH+fPnV3qfS5cuoV27dvy/jR2FTZ48GYmJiTh06JDO7TKZDH/88QfGjh1bW8P+T5KUlIT+/fvDw8MDgYGB2Lt3LzIzM3lPmQEDBlTLyKq+KCwE4uJoKu7Ro2IcOPDiis24cVREgoI4tGpFUFNNMCdRycnJwZAhQ+Dv749///23Xqy5BUxPrQpLVlYWsrKyKr2Pr6+vjp2vMWGZM2cOdu3ahatXr/K35ebmwsHBAVFRUYLn9TPAsizatm2Lbt26YdWqVRCLxeA4DleuXMH27dsRGRmJR48eoW/fvggPD8fgwYNha2tr6mHrwXHA48cMEhJo2m50NK1MT083f9GxtSXo3ZtFx440RTowkEOjRjVrOGkIcxKVvLw8hIWFwd3dHdu3bzfaoFXgxcPsg/ePHj2C+5MGUlu2bMHrr78uBO9rgQcPHsDX19dgrQHHcbh27RovMnfv3kWfPn0QHh6OIUOGmL2nDABwHEFSUiHOnXuM+/c1yM+3gEZjj5wcO9y/3wD379d+AaIWf39atBkQwMHTk/YN0/54ehKDHiq1gTmJSkFBASIiImBra4tdu3bpLCYFXnxMJixJSUnIycnB7t27sWzZMvzvf/8DADRp0gTW1tZ8urGrqyuWLVuGnJwcTJw4EREREUK6cT1CCMGtW7f4dv83b95Ejx49eE8ZJycnsxQZrU3Bo0ePEBwcDJFIhIyMDKSnp6O0tBQODg5wdXWFs7MzfzxDCFBSQrsIaHuEsSzz5E/aK0wqJXzPMJmM3mYOL9+cRKWoqAgjRoyATCbD3r17YfUsbREEnktMJiwTJ07Exo0b9W4/fvw4evbsCYCKz3vvvadXIClsqU0DIQR3797lRSY2NhYvvfQS7ynj5uZmFiJDCEFCQgLS0tIQGhqqFysqLi7mRaaoqAj29vZwcXGBi4vLc/ndMidRKSkpwahRo8BxHPbv329WcTqB+sPkR2ECzyeEEDx8+JD3lLlw4QI6duzIe8p4eXmZRGS0O6zs7GyEhoZWuVouLS1FRkYGMjIykJ+fD1tbW15k6iv1+lkwJ1FRKBQYM2YMiouLcfDgQeG4+j+MICwCz0x5T5nt27fjzJkzCAkJ4dv9G4vl1DYcx/GFniEhITUWBqVSyYuMtveVq6srXFxc0OBZDVTqAHMSFaVSiVdeeQWZmZk4cuQI7OzsTDYWAdMjCItArUIIQVpaGnbu3Int27fj5MmTCAwM5Nv911WjR47jcP36dZSUlCAkJOSZj7RUKhWysrKQnp6O7OxsWFlZ8SJTVYPF+sCcREWlUuG1115DcnIyjh49CkdHR5ONRcA8EIRFoM4o7ymzbds2REVFoVmzZnwn5oCAgFqZoLW9sFQqFUJCQmq9yFOj0fANFrOysiCTyXiRadiwoQna7JuPqGg0GkyaNAm3b99GVFTUU3XDFnjxEITlKfD19UViYqLObbNnz8bXX39tohGZP9qeUVpPmSNHjsDHx4cXmdatWz9VQ0KNRoPY2FgQQhAUFFTnBXgsyyI7O5tvsCgWi/mYTH2kYZubqLzzzju4evUqoqKi4ObmZrKxCJgXgrA8Bb6+vnjzzTfx9ttv87dZW1sLGTA1oKCgAHv37uU9Zdzc3HiRCQkJqZbIqNVqxMTEQCwWIygoqNYtc6uivIVvRkYGAPAi4+DgUOude1mWRUxMDAghCAkJqffXW3Es06ZNw7lz53DixAmdnn4CAoKwPAW+vr6YMWMGZsyYYeqhvBAUFRXpeMrY29tj2LBhCA8PN+opo1KpEB0dDblcjjZt2ph0kgXojiw3N5cXGZZleT8SR0fHZx6fOYkKx3GYMWMGjh8/juPHjws+8AJ6CMLyFPj6+kKpVEKlUqFRo0YYPXo0/u///k8wIKsFSktLcejQId5TxtLSkjcu03rKPHjwACdOnEBoaCgCAwPNztODEIKCggK+VkalUsHJyQkuLi5wcnKq8fGVVlQAIDg42OSi8vHHH2Pfvn04ceIE/Pz8TDYWAfNFEJan4LvvvkNISAjs7e1x8eJFfPrppwgPD8f69etNPbQXCoVCgWPHjvGeMiKRCP369cOxY8fQo0cP/PrrrybPzqoKQgiKioqqrPo3hrmJyueff47t27fj+PHjaNq0qcnGImDeCMLyhKfpzKxl+/btGDVqFLKysoRUyzpCrVZj06ZNmDZtGpycnFBYWIghQ4YgIiICvXr1em4q5mtS9W9OokIIwfz58/Hnn3/i+PHjaNGihcnGImD+CMLyhKfpzKzl8ePH8PLywvnz59GxY8e6GuJ/muvXr6Nfv36YOHEiFi5ciDNnzmDbtm3YuXMnioqKMGjQIERERKBv377PRcU8UHnVv0wmMytR+eqrr7Bu3TpERUUhMDDQZGMReD4QhKUW2Lt3L8LCwpCYmCgEMuuIXbt2IS4uDp999pnO8RfLsjh//jzfWiYrKwsDBgxAREQE+vfv/9xk6lWs+heJRJBKpQgKCoKNjY3JxkUIwYoVK7By5UocO3YMQUFBJhuLwPODICw15Ny5czh//jx69eoFW1tbXLp0CR9++CHatWuHXbt2mXp4/2k4jsPly5f5dv+PHz9Gv379eE+Z56F3FcuyuHLlCtRqNSwtLZGTk2Oyqn9CCH788UcsXboUhw4dQvv27evleWuCUFNmngjCUkOio6Px3nvvIT4+HkqlEj4+Phg7diw+/vhjoT24GcFxHK5evcqLzP3799GnTx8MGzYMQ4cOhZ2dndkF/g3FVLRV/+np6cjKyoJcLq+Xqn9CCH7++WcsWLAABw4cQOfOnevkeZ4VoabMPBGEReCFhxCCmzdv8u3+b926hR49eiAiIgJDhw41C08ZlmURHR0NhmGMxlTqq+qfEILffvsNn332Gfbt24du3brVyuPWBUJNmXkiCIvAfwpCCO7cucOLzNWrV/HSSy8hIiICw4YNg6urq0l6f1UlKhWpq6p/Qgj++usvzJo1C7t37zZ7C3Chpsw8EYRF4D8LIQQPHjzgA/8XL15Ep06deE8ZT0/POhcZjUaDmJiYGolKRWqr6p8Qgn///RfTp09HZGQk+vfvX+Ox1DdCTZl5IgiLgADopPro0SNERkYiMjISZ86cQWhoKO8p4+PjU+sioxUVkUhUa73OnqXqPzIyElOmTMGWLVswZMiQZx7L0yLUlD3/CMLyArJmzRosW7YMqampaNWqFVauXGnW5+TmhtZTZseOHdi+fTtOnTqF1q1b854yTZo0eWaRqQtRqUhNqv737NmDSZMmYdOmTYiIiKj1sdQEoabs+UcQlheMLVu2YMKECVizZg1eeukl/Pzzz1i/fj1u3rwp1Ng8BYQQZGVl8cZlUVFRaNGiBd+/7Gk8ZepDVAxRser/wIEDcHNzg6enJ2bMmIHffvsNo0ePrpex1BVCTZl5IAjLC0bHjh0REhKCtWvX8rcFBAQgIiICX331lQlH9vyjjWWU95Tx9fVFeHg4hg8fXq2GmKYSlYqUlpZi1apV2LJlC+Lj49GsWTNMnjwZI0eOhI+Pj0nGVFOEmjLzxbzawgo8EyqVeIEoKAAACFJJREFUCleuXNELuvbv3x9nz5410aheHBiGgYODAyZOnIg9e/YgPT0dX375Je7evYs+ffqgbdu2+OKLL3DlyhVwHKf3/81FVADA0tISHTt2RHJyMlasWIEPPvgABw4cQJMmTfD555+bbFw1QS6XY8uWLejZsydatmyJOXPm4O2338Y///xj6qH95xF2LC8QKSkp8PT0xJkzZ9ClSxf+9iVLlmDjxo24ffu2CUf3YlNUVIT9+/cjMjIS+/fvh4ODA8LCwhAREYEOHTqgoKAAn3/+OV577TW0b9/e5P4xZ86cwciRI7F8+XK8/fbb/HFeTk4OCgoK4Ovra9LxCTzfmM7XVKDOqHjmTwgxeQHgi461tTVefvllvPzyyygpKcHhw4f5DCULCws0aNAA1tbWWLJkiclF5eLFixg1ahSWLFmiIyoA4ODgAAcHBxOOTuBFQDgKe4FwcnKCWCxGWlqazu0ZGRlwdXU10aj+e1hZWSEiIgJ//vknEhISYG9vD6VSibS0NAQHB2P69OmIioqCWq2u97FFR0dj+PDhmDt3LqZOnSosOATqBEFYXiBkMhlCQ0Nx5MgRnduPHDmiczQmUD8UFhZi+PDh8PT0REJCApKTk/HXX39BIpHgzTffhL+/P959910cOnQISqWyzsdz7do1DBs2DLNnz8aHH34oiIpAnSHEWF4wtOnGP/30Ezp37ox169bhl19+wY0bN56bbJ8XBYVCga+++gqffPKJnkeMRqPB6dOnsXXrVuzcuRPFxcUYPHgwIiIi0KdPn1r3lLl58yYGDRqE6dOn48svvxRERaBOEYTlBWTNmjVYunQpUlNTERgYiO+++w7du3c39bAEjMCyLM6dO8e3lsnOzsbAgQN5T5kGDRo80+Pfvn0bgwYNwptvvolFixYJoiJQ5wjCIiBgRnAch0uXLvEik5KSwnvKDBo0qMaeMnfv3sWgQYMwfvx4fPPNN0/dnFJAoCYIwiIgYKZoPWW0nZgfPHiAvn37YtiwYRgyZEiVnjIPHz7kdz4rV64UREWg3hCERUDgOYAQghs3bvAiEx8fj549e/KeMo6Ojjoik5ycjAEDBmDgwIFYs2aNICoC9YogLAICzxmEECQkJPDumFevXkXXrl0RERGBsLAwEEIwYMAA9OjRA+vWrTN53YzAfw9BWAQEnmMIIbh//76Op4xcLsfQoUPxzz//CKIiYBIEYREwGYZ8N1xdXfUKPAWqByEEiYmJmDNnDtavXy+4KAqYDKGli4BJadWqFY4ePcr/W1hhPz0Mw8DX1xd//PGHqYci8B9HEBYBkyKRSODm5mbqYQgICNQiQqqIgEm5c+cOPDw84Ofnh7Fjx+L+/fumHpKAgMAzIsRYBEzGgQMHUFJSgmbNmiE9PR2LFi1CfHw8bty4IfiVCwg8xwjCImA2FBcXo3Hjxvj4448xc+ZMUw9HQEDgKRGOwgTMhgYNGqB169a4c+eOqYciICDwDAjCImA2KJVK3Lp1C+7u7qYeioCAwDMgCIuAyZg1axZOnjyJBw8e4MKFCxg1ahQKCgrw+uuvm3poAjVg8eLF6NKlC6ysrGBnZ2fwPklJSQgLC0ODBg3g5OSE999/HyqVqn4HKlBvCOnGAibj0aNHGDduHLKysuDs7IxOnTrh/Pnzgm/Mc4ZKpcLo0aPRuXNnbNiwQe/3LMtiyJAhcHZ2xunTp5GdnY3XX38dhBD8+OOPJhixQF0jBO8FBARqhd9//x0zZsxAXl6ezu0HDhzA0KFDkZycDA8PDwDA5s2bMXHiRGRkZNTYCkDA/BGOwgQEBOqUc+fOITAwkBcVABgwYACUSiWuXLliwpEJ1BWCsAgICNQpaWlpcHV11bnN3t4eMplM6Av3giIIi4CAgB7z5s0DwzCV/ly+fLnaj2fIkIwQItgkv6AIwXsBAQE9pk2bhrFjx1Z6H19f32o9lpubGy5cuKBzW25uLtRqtd5ORuDFQNixCAhUwalTpxAWFgYPDw8wDIOdO3fq/J4Qgnnz5sHDwwOWlpbo2bMnbty4YZrB1hJOTk5o0aJFpT8WFhbVeqzOnTsjLi4Oqamp/G2HDx+GXC5HaGhoXb0EARMiCIuAQBUUFxejbdu2WLVqlcHfL126FCtWrMCqVatw6dIluLm5oV+/figsLKznkZqGpKQkxMbGIikpCSzLIjY2FrGxsSgqKgIA9O/fHy1btsSECRMQExODY8eOYdasWXj77beFjLAXFSIgIFBtAJAdO3bw/+Y4jri5uZGvv/6av02hUBBbW1vy008/mWCE9c/rr79OAOj9HD9+nL9PYmIiGTJkCLG0tCQODg5k2rRpRKFQmG7QAnWKUMciIFADGIbBjh07EBERAQC4f/8+GjdujOjoaAQHB/P3Cw8Ph52dHTZu3GiikQoImA7hKExA4BnQpstWDEILFssC/2UEYREQqAUqps0SIZVW4D+MICwCAs+A1la54u4kIyNDSKUV+M8iCIuAwDPg5+cHNzc3HDlyhL9NpVLh5MmT6NKliwlHJiBgOoQCSQGBKigqKsLdu3f5fz948ACxsbFwcHCAt7c3ZsyYgSVLlqBp06Zo2rQplixZAisrK4wfP96EoxYQMB1CVpiAQBWcOHECvXr10rv99ddfx++//w5CCObPn4+ff/4Zubm56NixI1avXo3AwEATjFZAwPQIwiIgICAgUKsIMRYBAQEBgVpFEBYBAQEBgVpFEBYBAQEBgVpFEBYBAQEBgVpFEBYBAQEBgVpFEBYBAQEBgVpFEBYBAQEBgVpFEBYBAQEBgVpFEBYBAQEBgVpFEBYBAQEBgVpFEBYBAQEBgVpFEBYBAQEBgVrl/wEaz6kEzCMqCAAAAABJRU5ErkJggg==\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,0], result_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
\ No newline at end of file
diff --git a/examples/ode/second_order_example/secondOrderExampleTest.ipynb b/examples/ode/second_order_example/secondOrderExampleTest.ipynb
deleted file mode 100644
index 843d2845..00000000
--- a/examples/ode/second_order_example/secondOrderExampleTest.ipynb
+++ /dev/null
@@ -1,241 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Equations\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x_\"]\n",
-    "\n",
-    "def x_prime_prime(prev_val, coeffs):\n",
-    "    return -prev_val[\"x\"] - coeffs[\"alpha\"]*prev_val[\"x\"]*prev_val[\"y\"]\n",
-    "\n",
-    "def y_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"y_\"]\n",
-    "\n",
-    "def y_prime_prime(prev_val, coeffs):\n",
-    "    return -prev_val[\"y\"] - (prev_val[\"x\"]*prev_val[\"x\"] - prev_val[\"y\"]*prev_val[\"y\"])\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"y\": y_prime, \"y_\": y_prime_prime}\n"
-   ]
-  },
-  {
-   "source": [
-    "# Initial conditions: (0, 0.436630946376151, 0.095, 0.03)"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_init = {\"x\":0., \"x_\": 0.436630946376151, \"y\": 0.095, \"y_\": 0.03}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"alpha\": 2.}\n",
-    "\n",
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=torch.optim.SGD,\n",
-    "    optimizer_args={\"lr\": 0.01}\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(100000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[0.0000, 0.4366, 0.0950, 0.0300],\n",
-       "        [0.0044, 0.4366, 0.0953, 0.0291],\n",
-       "        [0.0087, 0.4365, 0.0956, 0.0283],\n",
-       "        ...,\n",
-       "        [0.0182, 0.4362, 0.0965, 0.0257],\n",
-       "        [0.0226, 0.4359, 0.0968, 0.0248],\n",
-       "        [0.0269, 0.4356, 0.0970, 0.0239]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 24
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T22:52:06.782316</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"maa994ff49e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"63.581727\" xlink:href=\"#maa994ff49e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −0.4 -->\n      <g transform=\"translate(51.440321 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"140.310921\" xlink:href=\"#maa994ff49e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −0.2 -->\n      <g transform=\"translate(128.169514 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"217.040114\" xlink:href=\"#maa994ff49e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.0 -->\n      <g transform=\"translate(209.088552 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"293.769308\" xlink:href=\"#maa994ff49e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.2 -->\n      <g transform=\"translate(285.817745 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"370.498501\" xlink:href=\"#maa994ff49e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.4 -->\n      <g transform=\"translate(362.546939 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_6\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"md1f9b443d1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"271.118387\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- −0.4 -->\n      <g transform=\"translate(7.2 274.917606)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"241.403169\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.3 -->\n      <g transform=\"translate(7.2 245.202388)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"211.687951\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.2 -->\n      <g transform=\"translate(7.2 215.48717)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"181.972734\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.1 -->\n      <g transform=\"translate(7.2 185.771952)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"152.257516\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 156.056735)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"122.542298\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.1 -->\n      <g transform=\"translate(15.579688 126.341517)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"92.82708\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.2 -->\n      <g transform=\"translate(15.579688 96.626299)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"63.111863\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.3 -->\n      <g transform=\"translate(15.579688 66.911081)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1f9b443d1\" y=\"33.396645\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.4 -->\n      <g transform=\"translate(15.579688 37.195864)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p6aa929bded)\" d=\"M 217.040114 124.028059 \nL 232.091908 123.330344 \nL 246.998095 122.848326 \nL 261.613813 122.596066 \nL 274.246595 122.580285 \nL 286.440466 122.77794 \nL 296.676864 123.140772 \nL 306.446859 123.695076 \nL 315.69489 124.454965 \nL 323.167155 125.280665 \nL 330.188206 126.276482 \nL 336.730936 127.450645 \nL 341.800248 128.570825 \nL 346.508065 129.82402 \nL 350.843458 131.213618 \nL 354.797108 132.742406 \nL 357.679904 134.067099 \nL 360.31019 135.48298 \nL 362.685416 136.990461 \nL 364.803708 138.589606 \nL 366.6639 140.280111 \nL 368.265442 142.061292 \nL 369.608471 143.932065 \nL 370.693766 145.890943 \nL 371.522743 147.936018 \nL 372.097404 150.064962 \nL 372.420345 152.275015 \nL 372.494754 154.562994 \nL 372.324349 156.925283 \nL 371.913324 159.357843 \nL 371.266392 161.856217 \nL 370.388673 164.415539 \nL 369.285702 167.030541 \nL 367.599266 170.368951 \nL 365.582355 173.773664 \nL 363.247924 177.231994 \nL 360.60944 180.730477 \nL 357.680853 184.254938 \nL 354.476386 187.790582 \nL 351.010536 191.322065 \nL 347.297803 194.833617 \nL 342.537105 198.998427 \nL 337.466718 203.082938 \nL 332.111042 207.058596 \nL 327.447209 210.267885 \nL 322.615098 213.365383 \nL 317.627547 216.33498 \nL 312.496951 219.160949 \nL 307.235122 221.828045 \nL 301.853342 224.321615 \nL 296.362327 226.627698 \nL 290.772229 228.73317 \nL 285.092629 230.625767 \nL 279.332594 232.294239 \nL 273.500677 233.728396 \nL 267.604977 234.91923 \nL 261.65317 235.85893 \nL 255.652559 236.540988 \nL 249.610156 236.960196 \nL 243.532737 237.112782 \nL 237.426899 236.996302 \nL 231.299166 236.60978 \nL 225.156027 235.953661 \nL 219.004039 235.029821 \nL 212.849894 233.841547 \nL 206.700495 232.393513 \nL 200.563033 230.69176 \nL 194.445055 228.743638 \nL 188.354526 226.557755 \nL 182.299892 224.143927 \nL 176.290134 221.513083 \nL 170.33482 218.677208 \nL 164.444129 215.649256 \nL 158.628875 212.44304 \nL 151.766378 208.380882 \nL 145.050219 204.109584 \nL 138.502888 199.656787 \nL 132.148189 195.051014 \nL 126.011173 190.321401 \nL 120.117989 185.497441 \nL 114.495716 180.608693 \nL 109.172214 175.684534 \nL 104.175825 170.753899 \nL 99.535168 165.845037 \nL 95.278827 160.985281 \nL 92.045822 156.991933 \nL 89.11528 153.065357 \nL 86.502784 149.219287 \nL 84.223233 145.46667 \nL 82.290828 141.819602 \nL 80.718876 138.28928 \nL 79.729143 135.555999 \nL 78.983768 132.908807 \nL 78.487986 130.35209 \nL 78.246533 127.889812 \nL 78.263523 125.525517 \nL 78.542444 123.262323 \nL 79.086155 121.102918 \nL 79.896816 119.049578 \nL 80.975891 117.104153 \nL 82.324134 115.26809 \nL 83.941499 113.542435 \nL 85.827245 111.927845 \nL 87.97986 110.424613 \nL 90.397048 109.032668 \nL 93.075755 107.751607 \nL 96.01214 106.580703 \nL 99.201652 105.518938 \nL 103.536302 104.34323 \nL 108.246097 103.332975 \nL 113.317284 102.484596 \nL 118.734507 101.794076 \nL 125.668024 101.167659 \nL 133.043361 100.754194 \nL 140.825692 100.545267 \nL 148.977709 100.532329 \nL 158.902823 100.75361 \nL 169.211323 101.217022 \nL 179.834529 101.910304 \nL 190.70171 102.82229 \nL 203.327667 104.119895 \nL 216.069853 105.678334 \nL 228.820341 107.48842 \nL 239.900307 109.273679 \nL 250.836054 111.244397 \nL 261.560739 113.399754 \nL 272.010509 115.740318 \nL 280.70283 117.89519 \nL 289.113165 120.188944 \nL 297.208238 122.623452 \nL 304.957372 125.20071 \nL 312.332606 127.922661 \nL 318.174825 130.302721 \nL 323.726964 132.785215 \nL 328.977566 135.370617 \nL 333.916638 138.059043 \nL 338.535732 140.850174 \nL 342.827894 143.743185 \nL 346.787684 146.736681 \nL 349.713516 149.202485 \nL 352.422762 151.729963 \nL 354.914656 154.317463 \nL 357.189073 156.963022 \nL 359.24639 159.664354 \nL 361.087556 162.418833 \nL 362.714069 165.223498 \nL 364.127883 168.075031 \nL 365.331446 170.969766 \nL 366.327662 173.903678 \nL 367.119847 176.872401 \nL 367.711727 179.871205 \nL 368.10735 182.895026 \nL 368.311142 185.938465 \nL 368.327789 188.9958 \nL 368.162254 192.060995 \nL 367.707039 195.893872 \nL 366.9858 199.71617 \nL 366.009478 203.514305 \nL 364.789222 207.274165 \nL 363.336374 210.981169 \nL 361.662332 214.620351 \nL 359.778484 218.176451 \nL 357.696094 221.634027 \nL 355.426238 224.977521 \nL 352.979735 228.191398 \nL 350.367057 231.260216 \nL 347.59823 234.16877 \nL 344.682918 236.902164 \nL 341.630254 239.445947 \nL 338.448848 241.786205 \nL 335.146761 243.909672 \nL 331.731506 245.8038 \nL 328.210009 247.456926 \nL 324.588607 248.858254 \nL 321.623478 249.791446 \nL 318.600839 250.552728 \nL 315.523192 251.138071 \nL 312.392838 251.543934 \nL 309.211849 251.767269 \nL 305.982143 251.80557 \nL 302.705467 251.656819 \nL 299.383406 251.319589 \nL 296.017435 250.79296 \nL 292.60889 250.076594 \nL 288.29027 248.914683 \nL 283.909383 247.458254 \nL 279.468442 245.710256 \nL 274.969601 243.674922 \nL 270.415056 241.357769 \nL 265.807104 238.765554 \nL 261.148248 235.906212 \nL 256.441228 232.788793 \nL 250.733604 228.721516 \nL 244.967189 224.316536 \nL 239.149095 219.595044 \nL 233.287592 214.579879 \nL 226.407154 208.390145 \nL 219.498398 201.874419 \nL 211.594499 194.083219 \nL 203.716089 185.987157 \nL 195.904042 177.653057 \nL 187.25257 168.076538 \nL 178.817318 158.379422 \nL 170.679459 148.655334 \nL 163.766211 140.062385 \nL 157.222081 131.580694 \nL 151.851461 124.296003 \nL 146.860366 117.177277 \nL 142.294284 110.258664 \nL 138.752654 104.51176 \nL 135.583322 98.953539 \nL 132.812312 93.600884 \nL 130.825105 89.308488 \nL 129.144661 85.177577 \nL 127.783063 81.215441 \nL 126.751192 77.428593 \nL 126.169573 74.529223 \nL 125.809359 71.748325 \nL 125.674158 69.088204 \nL 125.766907 66.550859 \nL 126.089876 64.137975 \nL 126.644614 61.850967 \nL 127.431928 59.690978 \nL 128.451879 57.658885 \nL 129.703749 55.755281 \nL 131.186056 53.980556 \nL 132.896531 52.334869 \nL 134.83211 50.818141 \nL 136.988961 49.430132 \nL 139.362473 48.1704 \nL 141.947282 47.03836 \nL 144.737266 46.033259 \nL 147.725582 45.154239 \nL 151.728333 44.231276 \nL 156.012956 43.501715 \nL 160.561698 42.963316 \nL 165.355393 42.613759 \nL 170.37356 42.450661 \nL 176.661073 42.497704 \nL 183.20119 42.805798 \nL 189.952758 43.371127 \nL 196.873222 44.190167 \nL 203.91904 45.259756 \nL 211.046098 46.577122 \nL 218.210103 48.139936 \nL 225.366998 49.946294 \nL 232.473359 51.99469 \nL 239.486783 54.283992 \nL 245.23067 56.375189 \nL 250.858684 58.632751 \nL 256.348962 61.056404 \nL 261.680745 63.645883 \nL 266.834476 66.400877 \nL 271.791905 69.321006 \nL 276.536167 72.405711 \nL 281.051884 75.65424 \nL 284.490533 78.370344 \nL 287.767643 81.18995 \nL 290.877515 84.112213 \nL 293.815123 87.136101 \nL 296.576106 90.260365 \nL 299.156782 93.483544 \nL 301.554155 96.803921 \nL 303.765894 100.219515 \nL 305.790322 103.72806 \nL 307.626417 107.326992 \nL 309.273802 111.013419 \nL 310.732693 114.784128 \nL 312.00392 118.635562 \nL 313.088866 122.563802 \nL 313.989452 126.564576 \nL 314.708141 130.633234 \nL 315.247861 134.764755 \nL 315.611974 138.953742 \nL 315.825998 144.261949 \nL 315.77983 149.638788 \nL 315.482523 155.07125 \nL 314.943832 160.545454 \nL 314.174057 166.046673 \nL 313.184016 171.559378 \nL 311.984877 177.067289 \nL 310.588019 182.553446 \nL 309.004971 188.000265 \nL 306.875857 194.458985 \nL 304.515162 200.802802 \nL 301.942404 206.998886 \nL 299.176551 213.01397 \nL 296.23585 218.81466 \nL 293.137674 224.3677 \nL 289.898426 229.640299 \nL 287.102354 233.796772 \nL 284.227207 237.718299 \nL 281.280664 241.387578 \nL 278.269812 244.788117 \nL 275.20117 247.904296 \nL 272.080677 250.721564 \nL 268.913729 253.226487 \nL 266.350009 254.997333 \nL 263.76193 256.55486 \nL 261.151561 257.894038 \nL 258.520777 259.010466 \nL 255.8713 259.900326 \nL 253.204695 260.560483 \nL 250.522395 260.988494 \nL 247.82572 261.182552 \nL 245.115891 261.141567 \nL 242.39406 260.865132 \nL 239.661312 260.353549 \nL 236.918701 259.607809 \nL 234.167267 258.629585 \nL 231.40805 257.421252 \nL 228.64212 255.985821 \nL 225.870591 254.326974 \nL 223.094647 252.449025 \nL 219.620452 249.801019 \nL 216.144068 246.829252 \nL 212.66853 243.54591 \nL 209.19724 239.964438 \nL 205.734021 236.099366 \nL 201.594883 231.108923 \nL 197.481931 225.761151 \nL 193.404654 220.086201 \nL 189.373724 214.115471 \nL 184.745475 206.818984 \nL 180.217553 199.216422 \nL 175.813213 191.36081 \nL 171.557883 183.305137 \nL 167.478996 175.101812 \nL 163.605741 166.802107 \nL 159.968783 158.455725 \nL 156.599851 150.110364 \nL 153.950099 142.992449 \nL 151.541624 135.935648 \nL 149.39481 128.965423 \nL 147.52964 122.105593 \nL 145.965417 115.378263 \nL 144.905042 109.88811 \nL 144.076367 104.514966 \nL 143.488655 99.268802 \nL 143.150325 94.158721 \nL 143.068867 89.192977 \nL 143.250734 84.378977 \nL 143.589436 80.6415 \nL 144.102259 77.008402 \nL 144.790849 73.482367 \nL 145.656283 70.065807 \nL 146.699062 66.760804 \nL 147.919095 63.569209 \nL 149.315685 60.492563 \nL 150.887505 57.532202 \nL 152.632601 54.689199 \nL 154.54837 51.964439 \nL 156.631567 49.358586 \nL 158.878298 46.872136 \nL 161.284046 44.505408 \nL 163.843656 42.258605 \nL 166.551342 40.131781 \nL 169.400717 38.124892 \nL 173.151033 35.784714 \nL 177.096974 33.631305 \nL 181.222401 31.664125 \nL 185.509962 29.882537 \nL 189.941188 28.285911 \nL 194.496619 26.873637 \nL 199.155907 25.645131 \nL 203.897954 24.599904 \nL 208.701045 23.737595 \nL 214.514066 22.943998 \nL 220.344067 22.413401 \nL 226.151784 22.146097 \nL 231.89801 22.142758 \nL 236.611566 22.342298 \nL 241.233458 22.726578 \nL 245.742189 23.296486 \nL 250.116948 24.053039 \nL 254.337745 24.997345 \nL 258.385519 26.130571 \nL 262.242281 27.453906 \nL 265.891215 28.968518 \nL 269.316801 30.675505 \nL 271.88689 32.180278 \nL 274.298355 33.809245 \nL 276.545217 35.562769 \nL 278.622148 37.441107 \nL 280.524461 39.44441 \nL 282.24813 41.572704 \nL 283.789794 43.825838 \nL 285.146778 46.203548 \nL 286.317053 48.705336 \nL 287.299297 51.330565 \nL 288.092813 54.078351 \nL 288.697573 56.947612 \nL 289.114183 59.937028 \nL 289.343877 63.045024 \nL 289.388473 66.269767 \nL 289.250356 69.609165 \nL 288.825314 73.940983 \nL 288.126302 78.442957 \nL 287.16138 83.10906 \nL 285.939649 87.932562 \nL 284.471159 92.905963 \nL 282.398647 99.060212 \nL 280.006699 105.402594 \nL 277.316655 111.915739 \nL 273.831209 119.704836 \nL 270.006552 127.667635 \nL 265.879404 135.768481 \nL 260.839131 145.146316 \nL 255.504955 154.593039 \nL 249.928226 164.043535 \nL 244.15742 173.429356 \nL 238.23745 182.67936 \nL 232.209236 191.720445 \nL 226.10935 200.478377 \nL 219.969882 208.878747 \nL 214.587196 215.87786 \nL 209.211181 222.498692 \nL 204.618675 227.837333 \nL 200.048049 232.835932 \nL 195.505337 237.468034 \nL 190.99562 241.708955 \nL 187.265825 244.927818 \nL 183.564013 247.847326 \nL 179.892031 250.456757 \nL 176.251529 252.746634 \nL 172.644024 254.708846 \nL 169.78276 256.038141 \nL 166.944295 257.150654 \nL 164.129403 258.04426 \nL 161.338893 258.717453 \nL 158.573657 259.169357 \nL 155.834661 259.399741 \nL 153.122991 259.409057 \nL 150.439842 259.19836 \nL 147.786563 258.769348 \nL 145.164669 258.124387 \nL 142.575852 257.266426 \nL 140.021994 256.199033 \nL 137.505163 254.926372 \nL 135.027675 253.453161 \nL 132.59205 251.78467 \nL 129.610623 249.433289 \nL 126.704863 246.798194 \nL 123.881287 243.892828 \nL 121.147019 240.7316 \nL 118.50977 237.329812 \nL 115.977858 233.703502 \nL 113.560156 229.869364 \nL 111.26605 225.8446 \nL 109.105442 221.646792 \nL 107.088691 217.293822 \nL 105.226511 212.803693 \nL 103.529979 208.194453 \nL 102.010404 203.484062 \nL 100.679254 198.690289 \nL 99.548088 193.830606 \nL 98.628454 188.922079 \nL 97.931786 183.981304 \nL 97.469265 179.024304 \nL 97.251799 174.066464 \nL 97.289804 169.122462 \nL 97.593147 164.206215 \nL 98.033064 160.302042 \nL 98.653059 156.430369 \nL 99.457112 152.597169 \nL 100.448834 148.808056 \nL 101.631394 145.068277 \nL 103.0075 141.382718 \nL 104.579372 137.755895 \nL 106.34869 134.191967 \nL 108.316597 130.694738 \nL 110.483664 127.267662 \nL 112.849847 123.913857 \nL 115.414482 120.636117 \nL 118.176276 117.436921 \nL 121.133253 114.318462 \nL 124.282822 111.282641 \nL 127.621667 108.331118 \nL 131.145827 105.465298 \nL 134.850643 102.686371 \nL 139.727523 99.336408 \nL 144.866397 96.125321 \nL 150.253738 93.054329 \nL 155.87445 90.124348 \nL 161.711901 87.336087 \nL 167.747999 84.690117 \nL 173.963254 82.186921 \nL 180.33689 79.826959 \nL 188.163292 77.18481 \nL 196.146013 74.750716 \nL 204.243055 72.526079 \nL 212.410782 70.512699 \nL 220.604266 68.712841 \nL 228.77766 67.129322 \nL 236.884575 65.765516 \nL 244.878485 64.625364 \nL 252.713125 63.713311 \nL 260.342898 63.034317 \nL 267.723291 62.593749 \nL 274.811275 62.397256 \nL 281.565679 62.450701 \nL 286.911385 62.690428 \nL 291.977227 63.111204 \nL 296.743442 63.716313 \nL 301.191798 64.508857 \nL 305.305666 65.491729 \nL 308.345861 66.416773 \nL 311.155626 67.46641 \nL 313.728938 68.641587 \nL 316.060557 69.943083 \nL 318.146035 71.371457 \nL 319.981725 72.927018 \nL 321.564858 74.609828 \nL 322.893401 76.419684 \nL 323.966211 78.356086 \nL 324.782897 80.418222 \nL 325.343907 82.604987 \nL 325.650463 84.914931 \nL 325.704532 87.346285 \nL 325.508835 89.896922 \nL 325.066815 92.564371 \nL 324.382552 95.345813 \nL 323.460814 98.238064 \nL 322.306941 101.237589 \nL 320.547216 105.131885 \nL 318.446749 109.179312 \nL 316.019328 113.370658 \nL 313.279772 117.695885 \nL 309.602333 123.047556 \nL 305.526253 128.556193 \nL 301.08087 134.200143 \nL 295.467887 140.924981 \nL 289.441274 147.763912 \nL 283.049107 154.676245 \nL 276.338647 161.619625 \nL 269.355772 168.550396 \nL 262.144461 175.423987 \nL 254.746383 182.195336 \nL 247.200529 188.819305 \nL 239.543003 195.251147 \nL 231.806861 201.446957 \nL 224.022059 207.364153 \nL 217.331107 212.183285 \nL 210.639404 216.743296 \nL 203.960622 221.021208 \nL 197.307029 224.995685 \nL 191.789565 228.061819 \nL 186.302978 230.893398 \nL 180.852529 233.48123 \nL 175.443063 235.817202 \nL 170.079083 237.894353 \nL 164.764822 239.706955 \nL 159.504324 241.250498 \nL 154.301497 242.521734 \nL 149.160229 243.51875 \nL 144.08444 244.240907 \nL 139.078132 244.688879 \nL 134.145497 244.864693 \nL 129.290947 244.771627 \nL 124.519216 244.414224 \nL 119.835352 243.798284 \nL 115.244796 242.930785 \nL 110.753461 241.81983 \nL 106.367704 240.474577 \nL 102.094406 238.905192 \nL 97.940921 237.122789 \nL 93.91516 235.139297 \nL 90.02555 232.967371 \nL 86.281019 230.620329 \nL 82.691002 228.112058 \nL 79.265421 225.456869 \nL 76.014614 222.669432 \nL 72.949328 219.764642 \nL 70.080607 216.757545 \nL 67.419804 213.663195 \nL 64.978469 210.496587 \nL 62.768274 207.272522 \nL 60.800962 204.005555 \nL 59.088183 200.709855 \nL 57.641497 197.399149 \nL 56.4722 194.086641 \nL 55.591269 190.784911 \nL 55.10125 188.159323 \nL 54.807694 185.554032 \nL 54.71554 182.974487 \nL 54.829372 180.425803 \nL 55.153502 177.912743 \nL 55.691907 175.439717 \nL 56.448144 173.010768 \nL 57.425403 170.629571 \nL 58.626451 168.299428 \nL 60.053528 166.023264 \nL 61.708488 163.803633 \nL 63.592621 161.642721 \nL 65.706705 159.542347 \nL 68.051004 157.503983 \nL 70.625232 155.528752 \nL 73.428507 153.617452 \nL 77.252478 151.318932 \nL 81.428018 149.121323 \nL 85.949618 147.024243 \nL 90.810371 145.026708 \nL 96.001953 143.127194 \nL 101.514589 141.323716 \nL 108.537824 139.282947 \nL 115.985553 137.37238 \nL 123.833306 135.586917 \nL 133.45841 133.654899 \nL 143.543993 131.877466 \nL 154.038789 130.246549 \nL 166.463132 128.552751 \nL 179.262409 127.031827 \nL 193.994502 125.519529 \nL 208.946469 124.213472 \nL 223.976132 123.114696 \nL 238.938521 122.230108 \nL 253.687777 121.572472 \nL 268.079137 121.160092 \nL 280.456408 121.018088 \nL 292.342849 121.107116 \nL 302.268637 121.390846 \nL 311.690367 121.881987 \nL 319.323747 122.479284 \nL 326.51533 123.249046 \nL 333.23608 124.200106 \nL 338.458041 125.137108 \nL 343.321183 126.21009 \nL 347.813398 127.422929 \nL 351.924179 128.778928 \nL 355.644596 130.28075 \nL 358.33492 131.588543 \nL 360.767794 132.991567 \nL 362.940945 134.490117 \nL 364.852793 136.084125 \nL 366.502447 137.773147 \nL 367.889713 139.55634 \nL 369.015036 141.432459 \nL 369.879537 143.399837 \nL 370.484966 145.45639 \nL 370.833701 147.599595 \nL 370.928702 149.826505 \nL 370.773492 152.133734 \nL 370.37214 154.51747 \nL 369.729232 156.973473 \nL 368.849798 159.497087 \nL 367.73935 162.083249 \nL 366.035398 165.395552 \nL 363.991961 168.785533 \nL 361.622074 172.240822 \nL 358.939388 175.748243 \nL 355.95807 179.293867 \nL 352.692673 182.863105 \nL 349.158017 186.440786 \nL 344.582074 190.723062 \nL 339.665857 194.967123 \nL 334.435035 199.144593 \nL 328.91491 203.226796 \nL 323.130122 207.185022 \nL 317.10452 210.990804 \nL 311.915785 214.025655 \nL 306.588423 216.91946 \nL 301.134579 219.656959 \nL 295.565821 222.223497 \nL 289.893144 224.605125 \nL 284.126981 226.788706 \nL 278.277181 228.76204 \nL 272.353081 230.513882 \nL 266.363489 232.034091 \nL 260.316769 233.313704 \nL 254.220851 234.344956 \nL 248.083315 235.1214 \nL 241.91143 235.63788 \nL 235.71225 235.89067 \nL 229.492658 235.877404 \nL 223.259455 235.597161 \nL 217.019431 235.050455 \nL 210.779442 234.239218 \nL 204.546487 233.166786 \nL 198.327781 231.837908 \nL 192.130831 230.258666 \nL 185.963496 228.436483 \nL 179.834055 226.379992 \nL 173.751268 224.099059 \nL 167.724423 221.604639 \nL 161.763375 218.908748 \nL 155.878571 216.024349 \nL 150.081114 212.965268 \nL 143.255988 209.084384 \nL 136.595002 204.999462 \nL 130.120908 200.73807 \nL 123.857711 196.328635 \nL 117.83056 191.800147 \nL 112.065575 187.181901 \nL 106.589709 182.50322 \nL 101.430552 177.793196 \nL 96.616071 173.080425 \nL 92.174358 168.392757 \nL 88.133287 163.757069 \nL 85.091611 159.952267 \nL 82.362665 156.215543 \nL 79.961381 152.560271 \nL 77.90204 148.99901 \nL 76.198088 145.543441 \nL 75.099279 142.862342 \nL 74.241889 140.260847 \nL 73.631384 137.743607 \nL 73.272702 135.314853 \nL 73.170235 132.978392 \nL 73.327778 130.7376 \nL 73.748498 128.595427 \nL 74.434933 126.554387 \nL 75.388959 124.616571 \nL 76.611731 122.783648 \nL 78.103705 121.056875 \nL 79.864585 119.437102 \nL 81.893386 117.924795 \nL 84.188315 116.520044 \nL 86.746879 115.222582 \nL 89.565818 114.031799 \nL 92.641132 112.946774 \nL 96.838522 111.737343 \nL 101.418215 110.688269 \nL 106.367692 109.796018 \nL 111.672798 109.056539 \nL 118.486102 108.364518 \nL 125.758772 107.877727 \nL 133.457992 107.58738 \nL 141.548389 107.48444 \nL 151.431216 107.589098 \nL 161.731921 107.922373 \nL 172.384311 108.470832 \nL 184.901131 109.345274 \nL 197.682928 110.468273 \nL 210.623447 111.826203 \nL 223.616305 113.408482 \nL 236.556268 115.207713 \nL 249.340476 117.219677 \nL 260.320694 119.153621 \nL 271.041859 121.250348 \nL 281.4435 123.51209 \nL 291.468858 125.942155 \nL 299.722508 128.162089 \nL 307.630442 130.511415 \nL 315.164751 132.992935 \nL 322.300241 135.609262 \nL 327.925634 137.894151 \nL 333.247147 140.275243 \nL 338.254821 142.753205 \nL 342.940194 145.328288 \nL 347.296271 148.000246 \nL 351.317504 150.768279 \nL 354.290591 153.050945 \nL 357.045285 155.393165 \nL 359.580764 157.793606 \nL 361.896708 160.250631 \nL 363.993391 162.762277 \nL 365.871624 165.326252 \nL 367.532723 167.93992 \nL 368.978483 170.600302 \nL 370.21119 173.304066 \nL 371.233577 176.047527 \nL 372.048789 178.826649 \nL 372.660358 181.637047 \nL 373.072205 184.473991 \nL 373.288562 187.332414 \nL 373.313967 190.206931 \nL 373.153223 193.09184 \nL 372.698191 196.703418 \nL 371.970469 200.309497 \nL 370.980713 203.897129 \nL 369.739888 207.4528 \nL 368.259119 210.962505 \nL 366.549679 214.41184 \nL 364.622841 217.786087 \nL 362.489731 221.070309 \nL 360.161405 224.24944 \nL 357.64861 227.308383 \nL 354.961842 230.232116 \nL 352.111186 233.005787 \nL 349.106349 235.614855 \nL 345.956534 238.04515 \nL 342.670477 240.282991 \nL 339.256376 242.315287 \nL 335.721869 244.12966 \nL 332.074089 245.714507 \nL 328.319577 247.059105 \nL 324.464324 248.153685 \nL 320.513819 248.98948 \nL 317.288165 249.466632 \nL 314.007048 249.769864 \nL 310.672593 249.896299 \nL 307.286767 249.843536 \nL 303.851371 249.609715 \nL 299.489961 249.060813 \nL 295.056703 248.225488 \nL 290.554369 247.103596 \nL 285.98556 245.696282 \nL 281.352792 244.006024 \nL 276.658535 242.03655 \nL 271.905292 239.792856 \nL 267.095721 237.281149 \nL 262.232639 234.508807 \nL 257.319155 231.484312 \nL 251.361306 227.535588 \nL 245.342587 223.255936 \nL 239.270768 218.665585 \nL 233.154798 213.786451 \nL 225.9775 207.760438 \nL 218.773012 201.412609 \nL 211.563101 194.784232 \nL 203.348576 186.92028 \nL 195.20169 178.811105 \nL 187.170026 170.522965 \nL 178.338139 161.067483 \nL 170.73289 152.618467 \nL 163.423576 144.194666 \nL 156.476243 135.857981 \nL 149.959416 127.667582 \nL 144.665263 120.665016 \nL 139.801086 113.852415 \nL 136.009084 108.189098 \nL 132.595223 102.708498 \nL 129.586624 97.42823 \nL 127.407546 93.192692 \nL 125.541546 89.115949 \nL 124.001402 85.205708 \nL 122.798714 81.468895 \nL 122.086484 78.608472 \nL 121.601445 75.865788 \nL 121.347563 73.243286 \nL 121.328155 70.743154 \nL 121.545838 68.367233 \nL 122.002522 66.117083 \nL 122.699362 63.993944 \nL 123.636764 61.998815 \nL 124.814327 60.132396 \nL 126.23088 58.395132 \nL 127.88445 56.787233 \nL 129.77227 55.308655 \nL 131.890757 53.959187 \nL 134.235553 52.738376 \nL 136.80152 51.645594 \nL 139.58274 50.680078 \nL 142.57256 49.840901 \nL 146.591872 48.967973 \nL 150.909612 48.288554 \nL 155.508245 47.800173 \nL 160.36874 47.500235 \nL 165.470706 47.386066 \nL 171.881261 47.490494 \nL 178.568865 47.853954 \nL 185.492154 48.471976 \nL 192.608261 49.340396 \nL 199.87319 50.455371 \nL 207.24224 51.813456 \nL 214.670417 53.411649 \nL 222.112843 55.247391 \nL 229.525161 57.318573 \nL 236.863919 59.623496 \nL 244.086952 62.160841 \nL 249.988452 64.452038 \nL 255.758991 66.903365 \nL 261.377227 69.514355 \nL 266.822997 72.284519 \nL 272.077435 75.2133 \nL 277.123051 78.300046 \nL 281.943815 81.543855 \nL 286.525235 84.943611 \nL 290.009298 87.774738 \nL 293.325985 90.703838 \nL 296.470106 93.729802 \nL 299.437138 96.85133 \nL 302.223223 100.066885 \nL 304.825194 103.374695 \nL 307.240553 106.772723 \nL 309.467469 110.258642 \nL 311.504749 113.829833 \nL 313.351837 117.483352 \nL 315.008809 121.215936 \nL 316.476338 125.02397 \nL 317.755648 128.903494 \nL 318.848535 132.850186 \nL 319.757284 136.859352 \nL 320.484686 140.925928 \nL 321.033988 145.044477 \nL 321.475791 150.256867 \nL 321.653057 155.529201 \nL 321.574611 160.84843 \nL 321.249979 166.200646 \nL 320.689324 171.571116 \nL 319.903256 176.944326 \nL 318.902776 182.304039 \nL 317.699155 187.633366 \nL 316.303817 192.914821 \nL 314.728218 198.130424 \nL 312.615643 204.2763 \nL 310.279422 210.268483 \nL 307.73854 216.074238 \nL 305.011326 221.660714 \nL 302.115268 226.995277 \nL 299.584877 231.225102 \nL 296.957763 235.239483 \nL 294.242395 239.020761 \nL 291.446677 242.55195 \nL 288.577938 245.816827 \nL 285.642931 248.800071 \nL 282.647812 251.487389 \nL 279.598167 253.865621 \nL 277.122599 255.53761 \nL 274.617705 256.998617 \nL 272.085622 258.243719 \nL 269.52827 259.268613 \nL 266.947411 260.069587 \nL 264.344631 260.643568 \nL 261.721368 260.988157 \nL 259.078923 261.101627 \nL 256.418484 260.982932 \nL 253.741137 260.631693 \nL 251.047898 260.048218 \nL 248.339721 259.233517 \nL 245.617518 258.189247 \nL 242.882192 256.917754 \nL 240.134648 255.422032 \nL 237.375814 253.705711 \nL 233.912886 251.256642 \nL 230.435901 248.479172 \nL 226.94714 245.384256 \nL 223.449163 241.98415 \nL 219.944873 238.292307 \nL 215.736058 233.49748 \nL 211.529456 228.330381 \nL 207.332629 222.819658 \nL 203.15425 216.995363 \nL 198.316018 209.845733 \nL 193.534171 202.362773 \nL 188.828856 194.598397 \nL 184.222571 186.604838 \nL 179.111395 177.255411 \nL 174.20239 167.750942 \nL 170.107084 159.365728 \nL 166.230842 150.966462 \nL 162.605798 142.598831 \nL 159.264855 134.306076 \nL 156.652468 127.288411 \nL 154.293968 120.379451 \nL 152.209771 113.601415 \nL 150.419604 106.97484 \nL 149.166008 101.582037 \nL 148.139911 96.317492 \nL 147.350848 91.190364 \nL 146.807537 86.20898 \nL 146.517777 81.380842 \nL 146.488336 76.712662 \nL 146.724856 72.210396 \nL 147.108577 68.731553 \nL 147.667042 65.364568 \nL 148.401379 62.11147 \nL 149.312117 58.974046 \nL 150.399207 55.95382 \nL 151.661984 53.052076 \nL 153.099152 50.269859 \nL 154.708812 47.607993 \nL 156.488385 45.067133 \nL 158.434682 42.647748 \nL 160.543868 40.350131 \nL 162.811482 38.17444 \nL 165.232437 36.120695 \nL 167.801028 34.188805 \nL 170.51096 32.378595 \nL 174.086611 30.28653 \nL 177.857693 28.383529 \nL 181.808304 26.668855 \nL 185.921355 25.141721 \nL 190.178685 23.80133 \nL 194.561158 22.646894 \nL 199.048792 21.677721 \nL 203.620885 20.893175 \nL 208.256151 20.292785 \nL 212.932855 19.876189 \nL 218.568563 19.618644 \nL 224.193859 19.625516 \nL 228.846015 19.83346 \nL 233.442377 20.225649 \nL 237.961336 20.802624 \nL 242.381768 21.565066 \nL 246.683181 22.513782 \nL 250.845847 23.649674 \nL 254.850928 24.973717 \nL 258.680595 26.486868 \nL 262.318142 28.1901 \nL 265.748079 30.084352 \nL 268.332973 31.737823 \nL 270.769284 33.514408 \nL 273.050973 35.414381 \nL 275.17262 37.437919 \nL 277.129431 39.585085 \nL 278.917242 41.855816 \nL 280.532539 44.249926 \nL 281.972444 46.767035 \nL 283.234747 49.40662 \nL 284.317875 52.167946 \nL 285.220908 55.050074 \nL 285.943519 58.051853 \nL 286.486035 61.171902 \nL 286.84937 64.408556 \nL 287.035011 67.759936 \nL 287.020364 72.107163 \nL 286.736487 76.625379 \nL 286.189769 81.309008 \nL 285.387706 86.151727 \nL 284.338827 91.146456 \nL 283.052571 96.285337 \nL 281.210176 102.630039 \nL 279.059704 109.153351 \nL 276.621244 115.837143 \nL 273.915777 122.661648 \nL 270.45062 130.772782 \nL 266.685909 139.009566 \nL 262.656186 147.332538 \nL 257.769848 156.895966 \nL 252.630769 166.450388 \nL 247.2854 175.925766 \nL 241.77698 185.249252 \nL 236.145062 194.345962 \nL 230.42516 203.139849 \nL 225.372783 210.526179 \nL 220.295385 217.571785 \nL 215.208856 224.227256 \nL 210.852058 229.585198 \nL 206.505856 234.592724 \nL 202.176481 239.222683 \nL 198.585366 242.774196 \nL 195.012254 246.032307 \nL 191.45943 248.984556 \nL 187.928907 251.619686 \nL 184.422475 253.927745 \nL 180.941779 255.900132 \nL 178.1768 257.231543 \nL 175.430069 258.340593 \nL 172.702384 259.224971 \nL 169.99457 259.882995 \nL 167.307504 260.313645 \nL 164.642152 260.516576 \nL 161.999563 260.492125 \nL 159.380888 260.241257 \nL 156.787435 259.765611 \nL 154.220639 259.067515 \nL 151.682119 258.149892 \nL 149.173651 257.016311 \nL 146.697227 255.670961 \nL 144.255034 254.118588 \nL 141.849474 252.364523 \nL 138.898077 249.897308 \nL 136.013692 247.136691 \nL 133.202573 244.09638 \nL 130.471546 240.791049 \nL 127.828025 237.23633 \nL 125.280015 233.44864 \nL 122.836096 229.445046 \nL 120.505368 225.243192 \nL 118.297483 220.861112 \nL 116.222501 216.317158 \nL 114.290919 211.629836 \nL 112.513575 206.817709 \nL 110.901606 201.899264 \nL 109.466342 196.892813 \nL 108.219206 191.816398 \nL 107.171687 186.687644 \nL 106.335187 181.523724 \nL 105.720908 176.341235 \nL 105.339783 171.156145 \nL 105.202352 165.983715 \nL 105.318608 160.838447 \nL 105.697984 155.734035 \nL 106.196784 151.688586 \nL 106.873569 147.683703 \nL 107.732011 143.725199 \nL 108.775356 139.818521 \nL 110.006382 135.968743 \nL 111.427389 132.180577 \nL 113.04017 128.458361 \nL 114.84596 124.806086 \nL 116.845412 121.227383 \nL 119.038617 117.725546 \nL 121.425014 114.303535 \nL 124.003415 110.964004 \nL 126.772001 107.709298 \nL 129.728257 104.541481 \nL 132.869022 101.462355 \nL 136.190449 98.473478 \nL 139.688003 95.57618 \nL 144.29963 92.085032 \nL 149.166631 88.740524 \nL 154.27572 85.544093 \nL 159.612046 82.496866 \nL 165.159239 79.599731 \nL 170.89944 76.853398 \nL 176.81343 74.258482 \nL 182.880679 71.81555 \nL 189.079473 69.525177 \nL 196.659493 66.979012 \nL 204.354858 64.654792 \nL 212.122706 62.554181 \nL 219.918867 60.679226 \nL 227.698231 59.032459 \nL 235.415138 57.616882 \nL 243.023779 56.435993 \nL 250.478605 55.493751 \nL 257.734744 54.794583 \nL 264.748407 54.343273 \nL 271.4773 54.144858 \nL 277.880992 54.204564 \nL 282.941386 54.455308 \nL 287.728689 54.892006 \nL 292.223586 55.517564 \nL 296.408267 56.334762 \nL 300.266579 57.346115 \nL 303.108465 58.296522 \nL 305.725614 59.373647 \nL 308.112223 60.578323 \nL 310.263272 61.911204 \nL 312.174531 63.372743 \nL 313.842588 64.963178 \nL 315.264817 66.682501 \nL 316.439442 68.530455 \nL 317.365467 70.506517 \nL 318.042699 72.609882 \nL 318.471777 74.839451 \nL 318.65405 77.193825 \nL 318.591669 79.671287 \nL 318.28748 82.269807 \nL 317.74505 84.987018 \nL 316.968598 87.820231 \nL 315.962961 90.766413 \nL 314.391969 94.602858 \nL 312.48326 98.603238 \nL 310.249855 102.759445 \nL 307.70588 107.062566 \nL 304.264362 112.406551 \nL 300.424716 117.929929 \nL 296.215606 123.613029 \nL 290.877435 130.416975 \nL 285.124283 137.373822 \nL 279.004069 144.445642 \nL 271.620802 152.617305 \nL 263.888808 160.824976 \nL 255.873944 169.004474 \nL 247.638176 177.090181 \nL 239.238891 185.015784 \nL 230.728409 192.715056 \nL 223.227598 199.214908 \nL 215.705787 205.448811 \nL 208.187921 211.375603 \nL 201.763882 216.181469 \nL 195.371059 220.709532 \nL 189.020199 224.937954 \nL 182.720769 228.846587 \nL 176.481126 232.417176 \nL 171.332442 235.122648 \nL 166.234272 237.573825 \nL 161.19016 239.763596 \nL 156.203427 241.686037 \nL 151.27724 243.336399 \nL 146.414675 244.711213 \nL 141.618808 245.808255 \nL 136.892782 246.626622 \nL 132.239874 247.166668 \nL 127.663571 247.430058 \nL 123.1676 247.419732 \nL 118.756025 247.139888 \nL 114.433278 246.595963 \nL 110.204217 245.794555 \nL 106.074136 244.743368 \nL 102.048832 243.451242 \nL 98.134605 241.927987 \nL 94.33827 240.184337 \nL 90.6672 238.231884 \nL 87.129296 236.082974 \nL 83.732975 233.750606 \nL 80.487152 231.248366 \nL 77.401263 228.590291 \nL 74.485149 225.790809 \nL 71.749069 222.864592 \nL 69.203608 219.826464 \nL 66.859698 216.691307 \nL 64.728417 213.47396 \nL 62.821017 210.189113 \nL 61.14885 206.851224 \nL 59.723202 203.474396 \nL 58.555254 200.072329 \nL 57.655983 196.658222 \nL 57.036057 193.244687 \nL 56.74816 190.522349 \nL 56.650667 187.813872 \nL 56.748366 185.12477 \nL 57.045764 182.460232 \nL 57.54709 179.825119 \nL 58.256222 177.223948 \nL 59.176679 174.660889 \nL 60.311606 172.139751 \nL 61.663714 169.663991 \nL 63.235254 167.236703 \nL 65.028033 164.860626 \nL 67.043355 162.538142 \nL 69.282008 160.271291 \nL 71.74429 158.06177 \nL 74.429914 155.910948 \nL 77.338058 153.819879 \nL 81.283979 151.291193 \nL 85.571385 148.857882 \nL 90.194846 146.520161 \nL 95.147559 144.277675 \nL 100.421256 142.129557 \nL 106.006255 140.07451 \nL 113.103489 137.728949 \nL 120.611243 135.511618 \nL 128.505057 133.418739 \nL 136.757804 131.446351 \nL 146.799997 129.292254 \nL 157.239231 127.29086 \nL 168.02042 125.43699 \nL 180.685105 123.493756 \nL 193.627132 121.734111 \nL 206.749505 120.157101 \nL 221.602565 118.604227 \nL 236.410146 117.293877 \nL 251.02393 116.23999 \nL 263.731582 115.533911 \nL 276.066775 115.062192 \nL 287.929971 114.8439 \nL 297.847882 114.877185 \nL 307.270531 115.135204 \nL 314.9096 115.546581 \nL 322.109484 116.143382 \nL 328.839426 116.934581 \nL 334.068464 117.748511 \nL 338.937095 118.707787 \nL 343.432317 119.816417 \nL 347.542686 121.077874 \nL 350.547306 122.199008 \nL 353.295141 123.420924 \nL 355.782736 124.744445 \nL 358.00728 126.17006 \nL 359.966749 127.697909 \nL 361.659793 129.327764 \nL 363.085785 131.059002 \nL 364.244814 132.890604 \nL 365.137671 134.821134 \nL 365.76583 136.848739 \nL 366.131406 138.971134 \nL 366.237154 141.185605 \nL 366.086449 143.488999 \nL 365.683234 145.877733 \nL 365.032025 148.347792 \nL 364.137819 150.894737 \nL 363.00615 153.513714 \nL 361.64294 156.199464 \nL 359.623034 159.641907 \nL 357.264443 163.16797 \nL 354.581083 166.764931 \nL 351.587484 170.419275 \nL 348.298672 174.116761 \nL 343.984065 178.589672 \nL 339.293467 183.076424 \nL 334.254031 187.549296 \nL 328.892843 191.979845 \nL 323.236568 196.339196 \nL 317.311375 200.598285 \nL 311.142568 204.728137 \nL 304.754541 208.700161 \nL 298.170588 212.486393 \nL 292.550322 215.480123 \nL 286.821558 218.310998 \nL 280.995849 220.964677 \nL 275.084142 223.427593 \nL 269.09678 225.687046 \nL 263.043557 227.731338 \nL 256.933705 229.549793 \nL 250.775963 231.132878 \nL 244.578623 232.472295 \nL 238.349577 233.560985 \nL 232.096388 234.393203 \nL 225.826351 234.964581 \nL 219.546564 235.272152 \nL 213.264007 235.31435 \nL 206.985616 235.091059 \nL 200.718356 234.603599 \nL 194.4693 233.854689 \nL 188.245705 232.848455 \nL 182.055071 231.590396 \nL 175.905233 230.087341 \nL 169.804398 228.347384 \nL 163.76122 226.379855 \nL 157.784834 224.195202 \nL 151.884904 221.80498 \nL 146.071663 219.221696 \nL 140.355928 216.458758 \nL 134.749114 213.530376 \nL 129.263226 210.451453 \nL 122.857591 206.579881 \nL 116.667152 202.541537 \nL 110.715845 198.364793 \nL 105.028585 194.07849 \nL 99.631107 189.71162 \nL 94.549779 185.293082 \nL 89.811388 180.851387 \nL 85.442861 176.414429 \nL 82.104312 172.740094 \nL 79.056588 169.10287 \nL 76.314676 165.517185 \nL 73.893132 161.996761 \nL 71.805939 158.554545 \nL 70.06636 155.202639 \nL 68.933388 152.593697 \nL 68.036804 150.055041 \nL 67.382119 147.591567 \nL 66.974388 145.207755 \nL 66.818091 142.907664 \nL 66.917232 140.694921 \nL 67.275216 138.572724 \nL 67.894834 136.54383 \nL 68.778258 134.610568 \nL 69.927031 132.774836 \nL 71.342 131.038107 \nL 73.023326 129.401442 \nL 74.970469 127.865501 \nL 77.182162 126.430552 \nL 79.656471 125.096488 \nL 82.390723 123.862852 \nL 85.381531 122.728843 \nL 89.474521 121.449717 \nL 93.952411 120.321711 \nL 98.804028 119.341386 \nL 104.016602 118.504757 \nL 110.727862 117.684178 \nL 117.910664 117.05568 \nL 125.53468 116.61029 \nL 134.942906 116.309643 \nL 144.850435 116.230528 \nL 155.197195 116.358149 \nL 167.478722 116.739027 \nL 180.15301 117.351987 \nL 194.754751 118.297787 \nL 209.578199 119.495792 \nL 224.475526 120.931286 \nL 239.300205 122.595147 \nL 252.300817 124.262869 \nL 265.033591 126.109192 \nL 277.405574 128.138103 \nL 287.865977 130.068232 \nL 297.927825 132.148658 \nL 307.540054 134.385713 \nL 315.385658 136.432923 \nL 322.839721 138.604345 \nL 329.87814 140.903983 \nL 335.410476 142.920893 \nL 340.628413 145.0311 \nL 345.52246 147.235988 \nL 350.084568 149.536494 \nL 354.308095 151.933032 \nL 358.187804 154.42543 \nL 361.719922 157.012865 \nL 364.29367 159.150237 \nL 366.642794 161.346343 \nL 368.767225 163.599729 \nL 370.667491 165.908611 \nL 372.344575 168.270857 \nL 373.799996 170.683983 \nL 375.035744 173.14515 \nL 376.054278 175.651152 \nL 376.858468 178.198426 \nL 377.451629 180.783049 \nL 377.837453 183.400738 \nL 378.019944 186.046872 \nL 378.003468 188.716476 \nL 377.79268 191.404256 \nL 377.39246 194.104601 \nL 376.633684 197.48866 \nL 375.597394 200.870934 \nL 374.294439 204.238636 \nL 372.735899 207.578424 \nL 370.933058 210.876484 \nL 368.897259 214.118593 \nL 366.639889 217.290231 \nL 364.172223 220.376655 \nL 361.505338 223.363003 \nL 358.650108 226.234393 \nL 355.617099 228.976033 \nL 352.416507 231.573313 \nL 349.058111 234.011906 \nL 345.551238 236.277899 \nL 341.904716 238.35784 \nL 338.126891 240.238915 \nL 334.225573 241.908973 \nL 330.208009 243.356679 \nL 326.08097 244.571539 \nL 321.850674 245.544006 \nL 317.522816 246.265579 \nL 313.102655 246.728836 \nL 308.595004 246.927498 \nL 304.004277 246.85651 \nL 299.334539 246.51201 \nL 294.589563 245.891411 \nL 289.772881 244.99343 \nL 284.887849 243.818068 \nL 279.937726 242.366616 \nL 274.92573 240.641651 \nL 269.855115 238.647027 \nL 264.729259 236.387809 \nL 259.551703 233.870302 \nL 254.326271 231.101935 \nL 249.057127 228.091256 \nL 242.682917 224.17219 \nL 236.261168 219.936507 \nL 229.801852 215.404512 \nL 223.31624 210.598181 \nL 215.733488 204.675445 \nL 208.155132 198.45073 \nL 200.607036 191.965392 \nL 193.118207 185.262239 \nL 184.673529 177.391047 \nL 176.40138 169.358942 \nL 168.359756 161.232372 \nL 160.611188 153.077131 \nL 153.222017 144.957596 \nL 147.105707 137.931299 \nL 141.365166 131.020041 \nL 136.04841 124.261875 \nL 131.864723 118.618253 \nL 128.057005 113.134633 \nL 124.653874 107.830729 \nL 122.14675 103.561283 \nL 119.954535 99.439007 \nL 118.091222 95.472815 \nL 116.569715 91.67081 \nL 115.606508 88.752333 \nL 114.87491 85.946958 \nL 114.379689 83.257696 \nL 114.124938 80.687209 \nL 114.114122 78.237838 \nL 114.349962 75.911599 \nL 114.834481 73.710165 \nL 115.568914 71.6349 \nL 116.55372 69.686866 \nL 117.788611 67.866835 \nL 119.272433 66.175275 \nL 121.003242 64.612408 \nL 122.978283 63.17818 \nL 125.193983 61.872318 \nL 127.645975 60.694316 \nL 130.329078 59.643475 \nL 133.237331 58.718901 \nL 137.178975 57.739145 \nL 141.447139 56.952686 \nL 146.02538 56.356893 \nL 150.895623 55.948914 \nL 156.038298 55.725756 \nL 161.432465 55.68431 \nL 168.206089 55.870026 \nL 175.269408 56.307521 \nL 182.580085 56.991607 \nL 190.094268 57.91736 \nL 197.766995 59.080227 \nL 205.552591 60.476091 \nL 213.405099 62.101321 \nL 221.278676 63.952782 \nL 229.128002 66.027825 \nL 236.908664 68.324318 \nL 244.577529 70.840515 \nL 252.093098 73.575043 \nL 258.210385 76.019764 \nL 264.172034 78.614751 \nL 269.957554 81.359415 \nL 275.547772 84.253162 \nL 280.924898 87.295284 \nL 286.072609 90.484882 \nL 290.976112 93.820831 \nL 295.622211 97.301706 \nL 299.14592 100.189547 \nL 302.492277 103.167858 \nL 305.656801 106.235308 \nL 308.635673 109.390337 \nL 311.42576 112.63114 \nL 314.024621 115.955643 \nL 316.430444 119.361489 \nL 318.642079 122.846026 \nL 320.659025 126.406278 \nL 322.481394 130.038953 \nL 324.109873 133.7404 \nL 325.545731 137.506631 \nL 326.790787 141.333291 \nL 327.84736 145.215667 \nL 328.718287 149.148675 \nL 329.406827 153.126863 \nL 329.91666 157.144411 \nL 330.308887 162.212248 \nL 330.436966 167.319048 \nL 330.310362 172.451122 \nL 329.939104 177.593976 \nL 329.333755 182.732365 \nL 328.505281 187.850345 \nL 327.464908 192.93135 \nL 326.224061 197.958258 \nL 324.794205 202.913481 \nL 323.186798 207.779058 \nL 321.41317 212.536752 \nL 319.484468 217.168154 \nL 317.411499 221.654807 \nL 315.20478 225.978309 \nL 312.874384 230.120444 \nL 310.429916 234.063323 \nL 307.880476 237.789447 \nL 305.234624 241.281892 \nL 302.500344 244.524426 \nL 299.685046 247.501604 \nL 296.795527 250.19892 \nL 293.838013 252.602887 \nL 291.426839 254.306499 \nL 288.978375 255.808678 \nL 286.495016 257.104205 \nL 283.978934 258.188415 \nL 281.432095 259.057233 \nL 278.856273 259.707207 \nL 276.253056 260.135492 \nL 273.623873 260.339884 \nL 270.970005 260.318843 \nL 268.292602 260.071482 \nL 265.592691 259.597571 \nL 262.871214 258.897545 \nL 260.129031 257.97251 \nL 257.366956 256.824202 \nL 254.58577 255.45502 \nL 251.786239 253.867977 \nL 248.26221 251.583422 \nL 244.712319 248.972574 \nL 241.138297 246.045219 \nL 237.542078 242.812418 \nL 233.925872 239.286462 \nL 229.563637 234.687269 \nL 225.181406 229.710313 \nL 220.785233 224.382459 \nL 215.648279 217.761135 \nL 210.51533 210.748261 \nL 205.401972 203.392878 \nL 199.605351 194.631771 \nL 193.888846 185.564719 \nL 188.287637 176.26744 \nL 182.84103 166.814601 \nL 177.592129 157.278919 \nL 172.587394 147.730378 \nL 167.875986 138.235572 \nL 164.03427 130.021037 \nL 160.491165 121.934874 \nL 157.281655 114.013521 \nL 154.822341 107.380472 \nL 152.654593 100.912585 \nL 150.798626 94.627588 \nL 149.503955 89.541462 \nL 148.449331 84.601988 \nL 147.644181 79.816828 \nL 147.097023 75.19286 \nL 146.815329 70.736211 \nL 146.805416 66.452303 \nL 146.996648 63.152702 \nL 147.367106 59.96875 \nL 147.918237 56.902252 \nL 148.650893 53.954777 \nL 149.565319 51.127643 \nL 150.661132 48.421932 \nL 151.937321 45.838537 \nL 153.392228 43.378105 \nL 155.023548 41.041115 \nL 156.828316 38.827876 \nL 158.802922 36.738548 \nL 160.943093 34.773148 \nL 163.24395 32.931571 \nL 165.699954 31.213585 \nL 168.304978 29.618872 \nL 171.760508 27.798283 \nL 175.423958 26.168855 \nL 179.279639 24.729624 \nL 183.310657 23.479589 \nL 187.499 22.417731 \nL 191.825661 21.54305 \nL 196.270754 20.854607 \nL 200.813643 20.351597 \nL 205.433074 20.033301 \nL 210.107319 19.89917 \nL 215.757696 19.980759 \nL 221.416799 20.326614 \nL 226.111641 20.81666 \nL 230.763768 21.490394 \nL 235.351427 22.348142 \nL 239.853332 23.390376 \nL 244.2488 24.617704 \nL 248.517878 26.030811 \nL 252.641488 27.630429 \nL 256.601526 29.417349 \nL 260.380994 31.392304 \nL 263.964069 33.555986 \nL 267.336232 35.908987 \nL 269.873203 37.927983 \nL 272.260641 40.068542 \nL 274.493057 42.330665 \nL 276.565597 44.714255 \nL 278.47401 47.219072 \nL 280.214686 49.844717 \nL 281.784666 52.590634 \nL 283.181616 55.456043 \nL 284.403844 58.439995 \nL 285.450287 61.541296 \nL 286.320489 64.758538 \nL 287.014619 68.090037 \nL 287.53341 71.533846 \nL 287.878171 75.087759 \nL 288.067282 79.68113 \nL 287.992187 84.437027 \nL 287.658836 89.349114 \nL 287.074268 94.41028 \nL 286.246525 99.612599 \nL 285.184521 104.947321 \nL 283.897967 110.404856 \nL 282.072328 117.101268 \nL 279.957249 123.939862 \nL 277.572549 130.899316 \nL 274.938633 137.956633 \nL 271.578401 146.280923 \nL 267.940146 154.663114 \nL 264.056449 163.058857 \nL 259.959017 171.42145 \nL 255.678273 179.702169 \nL 251.243011 187.850657 \nL 246.680128 195.815365 \nL 242.014395 203.544025 \nL 237.268337 210.984211 \nL 232.462146 218.083895 \nL 228.308287 223.859624 \nL 224.133315 229.316486 \nL 219.945957 234.424508 \nL 215.75384 239.15513 \nL 212.261567 242.789676 \nL 208.773929 246.129146 \nL 205.293872 249.160247 \nL 201.824005 251.870891 \nL 198.366657 254.2503 \nL 195.611209 255.908987 \nL 192.866125 257.345526 \nL 190.132362 258.556401 \nL 187.410848 259.538751 \nL 184.702513 260.290371 \nL 182.008297 260.80973 \nL 179.32919 261.095986 \nL 176.666221 261.148961 \nL 174.020514 260.969188 \nL 171.393286 260.557879 \nL 168.785867 259.916921 \nL 166.199726 259.048873 \nL 163.636469 257.95695 \nL 161.097891 256.645022 \nL 158.585948 255.117551 \nL 156.102806 253.379631 \nL 153.65082 251.436884 \nL 150.633606 248.729916 \nL 147.674657 245.725816 \nL 144.780073 242.438915 \nL 141.956543 238.884558 \nL 139.211322 235.079033 \nL 136.552263 231.03936 \nL 133.987771 226.783259 \nL 131.526804 222.328974 \nL 128.723678 216.748472 \nL 126.100555 210.942124 \nL 123.675563 204.942895 \nL 121.467547 198.783705 \nL 119.807225 193.55237 \nL 118.322443 188.251138 \nL 117.024656 182.898168 \nL 115.925344 177.511138 \nL 115.035837 172.107157 \nL 114.367238 166.702694 \nL 113.930339 161.313507 \nL 113.735443 155.954583 \nL 113.792336 150.640094 \nL 114.110086 145.383356 \nL 114.557709 141.227935 \nL 115.181443 137.123401 \nL 115.984718 133.075332 \nL 116.970518 129.088931 \nL 118.141347 125.169024 \nL 119.499217 121.320072 \nL 121.045615 117.546171 \nL 122.781438 113.851056 \nL 124.707 110.238127 \nL 126.822028 106.710432 \nL 129.125595 103.27071 \nL 131.616152 99.921383 \nL 134.291475 96.664596 \nL 137.148682 93.502217 \nL 140.184202 90.435856 \nL 143.393808 87.466892 \nL 146.772579 84.596493 \nL 150.314919 81.825643 \nL 154.963271 78.503274 \nL 159.843723 75.338946 \nL 164.94107 72.333642 \nL 170.238616 69.48808 \nL 175.718231 66.802861 \nL 181.360464 64.278446 \nL 187.144621 61.915295 \nL 193.048878 59.713852 \nL 200.260298 57.286303 \nL 207.570616 55.093432 \nL 214.937223 53.136667 \nL 222.316389 51.417778 \nL 229.663639 49.938952 \nL 236.934155 48.702838 \nL 244.083171 47.712527 \nL 251.066406 46.971507 \nL 257.840447 46.483666 \nL 264.363182 46.253176 \nL 270.594173 46.284454 \nL 275.536064 46.513741 \nL 280.227743 46.930584 \nL 284.649591 47.537554 \nL 288.78341 48.337119 \nL 292.61256 49.331575 \nL 295.446375 50.268885 \nL 298.068692 51.333222 \nL 300.47336 52.525393 \nL 302.654994 53.846045 \nL 304.608969 55.295681 \nL 306.331466 56.874586 \nL 307.819444 58.582848 \nL 309.070668 60.420335 \nL 310.083697 62.386691 \nL 310.857868 64.481288 \nL 311.393317 66.703259 \nL 311.690927 69.051434 \nL 311.752342 71.524379 \nL 311.579936 74.120349 \nL 311.176772 76.837316 \nL 310.546584 79.672925 \nL 309.69375 82.624518 \nL 308.322234 86.472556 \nL 306.621575 90.490634 \nL 304.603949 94.671473 \nL 302.282655 99.007015 \nL 299.116387 104.401395 \nL 295.559578 109.989141 \nL 291.639766 115.752109 \nL 286.645933 122.670787 \nL 281.243145 129.767732 \nL 274.627692 138.050781 \nL 267.608293 146.462995 \nL 260.252393 154.944394 \nL 251.655108 164.49067 \nL 242.799925 173.953207 \nL 234.776214 182.218058 \nL 226.661432 190.275927 \nL 218.500375 198.060635 \nL 211.352568 204.597071 \nL 204.22256 210.832325 \nL 197.130366 216.725788 \nL 191.094549 221.476034 \nL 185.108513 225.924076 \nL 179.180345 230.04873 \nL 173.317036 233.830601 \nL 168.484885 236.707681 \nL 163.705099 239.325623 \nL 158.980497 241.676579 \nL 154.313686 243.753819 \nL 149.7071 245.551861 \nL 145.16316 247.066437 \nL 140.684247 248.294528 \nL 136.27285 249.234476 \nL 131.931592 249.885893 \nL 127.663314 250.249734 \nL 124.303322 250.335193 \nL 120.993786 250.239763 \nL 117.736599 249.96571 \nL 114.533813 249.515808 \nL 111.387703 248.893341 \nL 107.538487 247.878366 \nL 103.786879 246.608024 \nL 100.138654 245.091739 \nL 96.600133 243.339906 \nL 93.178165 241.363853 \nL 89.880183 239.175738 \nL 86.714167 236.788438 \nL 83.688647 234.215457 \nL 80.812642 231.470869 \nL 78.09569 228.569143 \nL 75.547703 225.525108 \nL 73.17905 222.353797 \nL 71.000378 219.070363 \nL 69.02265 215.689984 \nL 67.256979 212.227733 \nL 65.714652 208.698514 \nL 64.406895 205.116939 \nL 63.344959 201.497258 \nL 62.539912 197.853263 \nL 62.002524 194.19822 \nL 61.772401 191.274762 \nL 61.725432 188.358528 \nL 61.866579 185.455413 \nL 62.200507 182.571003 \nL 62.731607 179.710558 \nL 63.463959 176.879021 \nL 64.401281 174.080983 \nL 65.54691 171.320695 \nL 66.903786 168.602055 \nL 68.474423 165.928607 \nL 70.260856 163.303549 \nL 72.264619 160.729724 \nL 74.486773 158.209635 \nL 76.927834 155.745449 \nL 79.587756 153.339005 \nL 82.465967 150.99183 \nL 85.561266 148.705148 \nL 89.732977 145.933271 \nL 94.236385 143.258621 \nL 99.065273 140.68186 \nL 104.211955 138.203119 \nL 109.667264 135.822074 \nL 115.420576 133.538009 \nL 121.459818 131.349896 \nL 129.065289 128.849024 \nL 137.037137 126.482026 \nL 145.346742 124.246298 \nL 153.962904 122.139276 \nL 164.357548 119.840687 \nL 175.066345 117.711153 \nL 186.02837 115.748757 \nL 198.784048 113.710009 \nL 211.68659 111.890514 \nL 224.632509 110.294911 \nL 237.516024 108.930946 \nL 250.230297 107.809506 \nL 262.668734 106.944438 \nL 273.243479 106.410719 \nL 283.458056 106.098321 \nL 293.246339 106.02066 \nL 302.545318 106.191781 \nL 310.081427 106.547267 \nL 317.179775 107.104892 \nL 323.808313 107.873201 \nL 328.952103 108.680211 \nL 333.734193 109.64337 \nL 338.141011 110.766466 \nL 342.160679 112.052774 \nL 345.090786 113.201149 \nL 347.762222 114.456737 \nL 350.171337 115.820284 \nL 352.315275 117.292208 \nL 354.191896 118.872574 \nL 355.799829 120.561086 \nL 357.138445 122.357063 \nL 358.207859 124.259438 \nL 359.008893 126.266728 \nL 359.543102 128.377035 \nL 359.812716 130.588045 \nL 359.820628 132.897009 \nL 359.570371 135.300746 \nL 359.066083 137.795654 \nL 358.312476 140.377698 \nL 357.314808 143.042423 \nL 356.078808 145.784964 \nL 354.208166 149.314501 \nL 351.987898 152.946212 \nL 349.431885 156.668042 \nL 346.554771 160.467083 \nL 343.371788 164.329637 \nL 339.898667 168.241284 \nL 335.370562 172.978811 \nL 330.475886 177.738231 \nL 325.242868 182.491519 \nL 319.699533 187.209945 \nL 313.873515 191.864325 \nL 307.791752 196.425274 \nL 301.480318 200.863469 \nL 294.964245 205.149931 \nL 288.267409 209.256298 \nL 281.412412 213.155079 \nL 275.594501 216.226443 \nL 269.693176 219.120832 \nL 263.719405 221.824511 \nL 257.683528 224.324639 \nL 251.595279 226.609331 \nL 245.463831 228.667752 \nL 239.29783 230.49021 \nL 233.105447 232.068194 \nL 226.894446 233.394478 \nL 220.67224 234.463137 \nL 214.44596 235.269602 \nL 208.22253 235.810719 \nL 202.008742 236.084736 \nL 195.811333 236.091325 \nL 189.637055 235.831584 \nL 183.492768 235.308063 \nL 177.385485 234.524676 \nL 171.322475 233.486729 \nL 165.3113 232.200855 \nL 159.359902 230.674952 \nL 153.47663 228.91816 \nL 147.670324 226.94076 \nL 141.950312 224.754102 \nL 136.326468 222.370513 \nL 130.809241 219.803235 \nL 125.409626 217.066294 \nL 120.139221 214.17442 \nL 115.010157 211.142934 \nL 109.059731 207.343138 \nL 103.353994 203.393055 \nL 97.916728 199.32116 \nL 92.772515 195.156137 \nL 87.946532 190.926591 \nL 83.464344 186.660791 \nL 80.010374 183.09825 \nL 76.827836 179.545339 \nL 73.931434 176.017121 \nL 71.335552 172.52807 \nL 69.054206 169.091974 \nL 67.100843 165.721871 \nL 65.488291 162.429982 \nL 64.451771 159.860431 \nL 63.646862 157.353581 \nL 63.078923 154.914409 \nL 62.752873 152.547485 \nL 62.67317 150.256955 \nL 62.843735 148.046543 \nL 63.267943 145.919542 \nL 63.948638 143.878811 \nL 64.888053 141.926781 \nL 66.087785 140.065451 \nL 67.548809 138.2964 \nL 69.271421 136.620791 \nL 71.2553 135.039388 \nL 73.499407 133.552561 \nL 76.002049 132.160301 \nL 78.760802 130.862252 \nL 81.772614 129.65771 \nL 85.887431 128.281948 \nL 90.382905 127.048055 \nL 95.24862 125.95276 \nL 100.472593 124.992231 \nL 107.195183 124.011395 \nL 114.388161 123.210228 \nL 122.022714 122.579966 \nL 131.445804 122.048473 \nL 141.373278 121.722448 \nL 153.262406 121.582835 \nL 165.64361 121.671983 \nL 180.041353 122.022374 \nL 194.799508 122.615549 \nL 209.773649 123.433422 \nL 224.818129 124.463485 \nL 239.788043 125.699107 \nL 254.541139 127.139556 \nL 267.361471 128.595708 \nL 279.808864 130.224175 \nL 291.795434 132.03427 \nL 301.840897 133.775952 \nL 311.419489 135.673729 \nL 319.222515 137.431262 \nL 326.62117 139.315373 \nL 333.591205 141.331283 \nL 339.056495 143.115344 \nL 344.19809 144.996668 \nL 349.006374 146.97727 \nL 353.473127 149.058692 \nL 357.591568 151.241922 \nL 361.356359 153.527334 \nL 364.11087 155.429049 \nL 366.635144 157.39548 \nL 368.928393 159.425808 \nL 370.990375 161.518884 \nL 372.821433 163.673209 \nL 374.422438 165.886929 \nL 375.794771 168.157821 \nL 376.940321 170.483292 \nL 377.861452 172.860374 \nL 378.560991 175.285718 \nL 379.042183 177.755606 \nL 379.308687 180.265944 \nL 379.364529 182.812271 \nL 379.214097 185.38977 \nL 378.86207 187.993274 \nL 378.31342 190.617283 \nL 377.573384 193.255992 \nL 376.387463 196.565684 \nL 374.922015 199.876195 \nL 373.188404 203.174352 \nL 371.198202 206.446433 \nL 368.963173 209.678251 \nL 366.495118 212.855252 \nL 363.8058 215.962588 \nL 360.906883 218.985232 \nL 357.809789 221.908061 \nL 354.525721 224.715978 \nL 351.065543 227.394001 \nL 347.439716 229.927378 \nL 343.658267 232.301687 \nL 339.730765 234.502944 \nL 335.66629 236.517706 \nL 331.473393 238.333186 \nL 327.160102 239.937303 \nL 322.733938 241.318821 \nL 318.2019 242.467413 \nL 313.570458 243.373762 \nL 308.84565 244.029598 \nL 304.033056 244.427791 \nL 299.137871 244.562382 \nL 294.164927 244.428641 \nL 289.118762 244.023133 \nL 284.003687 243.343688 \nL 278.823825 242.389481 \nL 273.583198 241.160975 \nL 268.285804 239.659966 \nL 262.935673 237.889536 \nL 257.536947 235.854068 \nL 252.093961 233.559188 \nL 246.61133 231.011748 \nL 241.093989 228.219736 \nL 235.547298 225.192288 \nL 228.860786 221.262946 \nL 222.151592 217.028666 \nL 215.432136 212.510716 \nL 208.716248 207.732007 \nL 202.01927 202.716913 \nL 194.252714 196.60143 \nL 186.564754 190.241495 \nL 178.988196 183.680916 \nL 171.558907 176.964442 \nL 164.315638 170.1373 \nL 157.299823 163.244743 \nL 150.555252 156.331592 \nL 144.127641 149.441827 \nL 138.064143 142.618185 \nL 132.412744 135.90178 \nL 127.93322 130.259954 \nL 123.821924 124.749054 \nL 120.108259 119.391048 \nL 116.820624 114.206431 \nL 114.425903 110.032061 \nL 112.360537 106.001332 \nL 110.638257 102.123482 \nL 109.271652 98.406887 \nL 108.442068 95.554798 \nL 107.852486 92.81419 \nL 107.507445 90.188141 \nL 107.410843 87.679388 \nL 107.565802 85.290299 \nL 107.974814 83.022897 \nL 108.639583 80.878854 \nL 109.561057 78.859513 \nL 110.739387 76.965894 \nL 112.173919 75.198696 \nL 113.86319 73.558314 \nL 115.804914 72.044871 \nL 117.995992 70.658217 \nL 120.432514 69.397936 \nL 123.109746 68.26339 \nL 126.022155 67.25372 \nL 129.163446 66.367889 \nL 133.401105 65.432909 \nL 137.969908 64.686859 \nL 142.852767 64.126745 \nL 148.030983 63.74939 \nL 153.484377 63.551418 \nL 160.361291 63.545803 \nL 167.563896 63.787559 \nL 175.050527 64.270803 \nL 182.777723 64.989861 \nL 190.700623 65.939373 \nL 198.773392 67.114444 \nL 206.94959 68.510689 \nL 215.182609 70.124238 \nL 223.426063 71.951823 \nL 231.634187 73.990718 \nL 239.76221 76.238751 \nL 247.766723 78.694223 \nL 255.606022 81.35585 \nL 261.983865 83.730633 \nL 268.197635 86.247423 \nL 274.226798 88.905782 \nL 280.052147 91.705263 \nL 285.655891 94.645295 \nL 291.021709 97.725179 \nL 296.134823 100.943979 \nL 300.982044 104.300447 \nL 305.551807 107.79299 \nL 309.001135 110.683637 \nL 312.262209 113.6588 \nL 315.331406 116.716963 \nL 318.205776 119.856375 \nL 320.883031 123.075013 \nL 323.361559 126.370567 \nL 325.64039 129.740418 \nL 327.719179 133.181642 \nL 329.59819 136.690966 \nL 331.27828 140.264787 \nL 332.760879 143.899149 \nL 334.047964 147.589736 \nL 335.141994 151.331867 \nL 336.045929 155.1205 \nL 336.763144 158.950227 \nL 337.297468 162.815275 \nL 337.653074 166.709518 \nL 337.853195 171.608474 \nL 337.790676 176.529508 \nL 337.475648 181.458432 \nL 336.918732 186.380334 \nL 336.130961 191.279611 \nL 335.123677 196.140068 \nL 333.908395 200.944955 \nL 332.496695 205.677088 \nL 330.900104 210.318926 \nL 329.130078 214.852665 \nL 327.197867 219.260365 \nL 325.114435 223.524041 \nL 322.890372 227.625794 \nL 320.535885 231.547906 \nL 318.060707 235.273002 \nL 315.474028 238.784133 \nL 312.784534 242.064924 \nL 310.000312 245.099674 \nL 307.128858 247.873486 \nL 304.177078 250.372388 \nL 301.15126 252.583439 \nL 298.681158 254.137034 \nL 296.169981 255.493304 \nL 293.620141 256.647289 \nL 291.03384 257.59457 \nL 288.413078 258.331304 \nL 285.759633 258.85424 \nL 283.075101 259.160749 \nL 280.360921 259.248811 \nL 277.618375 259.117063 \nL 274.848605 258.764752 \nL 272.052642 258.191798 \nL 269.23141 257.39875 \nL 266.385761 256.386812 \nL 263.516491 255.157801 \nL 260.624357 253.714169 \nL 256.978178 251.612513 \nL 253.298928 249.187593 \nL 249.588181 246.448044 \nL 245.847666 243.403819 \nL 242.079337 240.066129 \nL 237.523807 235.690962 \nL 232.93602 230.934312 \nL 228.321395 225.821402 \nL 223.68636 220.379143 \nL 218.263172 213.651413 \nL 212.836673 206.560841 \nL 206.652311 198.075141 \nL 200.51431 189.252437 \nL 194.456117 180.166983 \nL 188.515668 170.892609 \nL 182.026162 160.323328 \nL 176.481083 150.885568 \nL 171.198196 141.477509 \nL 166.230139 132.162759 \nL 162.184089 124.135846 \nL 158.457692 116.263228 \nL 155.087828 108.579334 \nL 152.510599 102.167349 \nL 150.243911 95.935421 \nL 148.308738 89.900123 \nL 146.963542 85.031744 \nL 145.872725 80.318129 \nL 145.045886 75.766328 \nL 144.491599 71.382615 \nL 144.217309 67.172574 \nL 144.203691 63.932856 \nL 144.37584 60.809566 \nL 144.735763 57.804607 \nL 145.28487 54.919601 \nL 146.023945 52.155937 \nL 146.953144 49.51474 \nL 148.071973 46.99695 \nL 149.379272 44.603273 \nL 150.873213 42.334216 \nL 152.551291 40.190106 \nL 154.410322 38.171102 \nL 156.446458 36.277204 \nL 158.655161 34.508297 \nL 161.031262 32.864133 \nL 163.568942 31.344376 \nL 166.261741 29.948592 \nL 169.8351 28.377427 \nL 173.624762 26.998088 \nL 177.614361 25.809415 \nL 181.786315 24.810177 \nL 186.121922 23.999187 \nL 190.601477 23.375259 \nL 195.204401 22.937338 \nL 199.909379 22.684425 \nL 204.694496 22.615695 \nL 210.5109 22.775356 \nL 216.371273 23.198381 \nL 222.236155 23.884291 \nL 227.09861 24.656564 \nL 231.914356 25.611363 \nL 236.661262 26.748965 \nL 241.317735 28.069758 \nL 245.86285 29.574248 \nL 250.276486 31.263018 \nL 254.539455 33.13668 \nL 258.633606 35.195872 \nL 262.541948 37.441143 \nL 266.248736 39.872979 \nL 269.059329 41.953026 \nL 271.724945 44.15276 \nL 274.239455 46.472198 \nL 276.597337 48.911198 \nL 278.793703 51.469478 \nL 280.824288 54.146629 \nL 282.685486 56.942068 \nL 284.374323 59.854997 \nL 285.888472 62.884415 \nL 287.226254 66.02911 \nL 288.386615 69.287628 \nL 289.369116 72.658252 \nL 290.173946 76.138999 \nL 290.801865 79.727587 \nL 291.254199 83.421449 \nL 291.532817 87.217698 \nL 291.640492 92.102075 \nL 291.486242 97.134415 \nL 291.076922 102.306904 \nL 290.420345 107.610874 \nL 289.525264 113.036794 \nL 288.401193 118.57427 \nL 287.058318 124.212041 \nL 285.173213 131.092625 \nL 283.007952 138.077573 \nL 280.582572 145.142625 \nL 277.917493 152.261896 \nL 274.532674 160.599582 \nL 270.881898 168.927753 \nL 266.996798 177.198174 \nL 262.907881 185.360692 \nL 258.644134 193.36367 \nL 254.232765 201.15444 \nL 249.698937 208.679876 \nL 245.065669 215.886964 \nL 241.030927 221.771398 \nL 236.950128 227.351316 \nL 232.833781 232.595568 \nL 228.691227 237.474357 \nL 225.225054 241.240482 \nL 221.750634 244.717961 \nL 218.271733 247.89258 \nL 214.791704 250.751266 \nL 211.313545 253.282235 \nL 208.534181 255.064009 \nL 205.759002 256.624662 \nL 202.98919 257.960156 \nL 200.225862 259.067046 \nL 197.470094 259.942586 \nL 194.722944 260.584677 \nL 191.98547 260.99193 \nL 189.258748 261.163636 \nL 186.543902 261.099776 \nL 183.842111 260.80106 \nL 181.15464 260.268843 \nL 178.482853 259.505205 \nL 175.828239 258.512901 \nL 173.192419 257.295331 \nL 170.577171 255.856561 \nL 167.984444 254.201266 \nL 165.416363 252.334723 \nL 162.244498 249.713435 \nL 159.119814 246.783875 \nL 156.047856 243.559841 \nL 153.034724 240.056281 \nL 150.0871 236.289111 \nL 147.212233 232.275146 \nL 144.417967 228.031931 \nL 141.7127 223.577628 \nL 138.596534 217.98014 \nL 135.637917 212.138479 \nL 132.854313 206.085974 \nL 130.264044 199.856079 \nL 127.886136 193.482072 \nL 125.740152 186.996781 \nL 124.143355 181.530552 \nL 122.73304 176.027438 \nL 121.52077 170.504988 \nL 120.517945 164.980111 \nL 119.735731 159.469026 \nL 119.184932 153.987195 \nL 118.875872 148.549274 \nL 118.818292 143.169073 \nL 119.021215 137.859516 \nL 119.492848 132.632627 \nL 120.068573 128.518131 \nL 120.824193 124.468927 \nL 121.762509 120.4899 \nL 122.88582 116.585562 \nL 124.195898 112.760054 \nL 125.693972 109.017153 \nL 127.380694 105.360299 \nL 129.256092 101.792575 \nL 131.3196 98.316748 \nL 133.569995 94.935271 \nL 136.00542 91.6503 \nL 138.623335 88.463713 \nL 141.420522 85.377126 \nL 144.393111 82.39192 \nL 147.53654 79.509247 \nL 150.845567 76.730063 \nL 154.314291 74.055144 \nL 158.864698 70.859068 \nL 163.640105 67.827798 \nL 168.624751 64.962018 \nL 173.801438 62.262178 \nL 179.151595 59.728624 \nL 184.655362 57.361604 \nL 190.291714 55.161347 \nL 196.038559 53.128147 \nL 203.048146 50.909294 \nL 210.142352 48.932284 \nL 217.278581 47.198296 \nL 224.4133 45.708835 \nL 231.502427 44.465831 \nL 238.501739 43.471685 \nL 245.367278 42.729168 \nL 252.055747 42.241478 \nL 258.524945 42.012148 \nL 264.734135 42.044976 \nL 269.681743 42.275458 \nL 274.400416 42.693116 \nL 278.870062 43.300298 \nL 283.071899 44.099288 \nL 286.988613 45.092239 \nL 290.604459 46.281151 \nL 293.270995 47.374589 \nL 295.729521 48.595364 \nL 297.974365 49.944133 \nL 300.000606 51.421382 \nL 301.804087 53.027439 \nL 303.38143 54.762437 \nL 304.73005 56.626313 \nL 305.848119 58.618785 \nL 306.734607 60.739313 \nL 307.389251 62.987125 \nL 307.812538 65.361212 \nL 308.005702 67.860264 \nL 307.970704 70.482713 \nL 307.710202 73.226681 \nL 307.227518 76.089991 \nL 306.526608 79.070184 \nL 305.350594 82.955522 \nL 303.850931 87.013005 \nL 302.039035 91.235754 \nL 299.927448 95.616137 \nL 297.017098 101.068788 \nL 293.71975 106.720328 \nL 290.061829 112.553297 \nL 285.375278 119.562363 \nL 280.28024 126.759997 \nL 274.822142 134.111223 \nL 268.1978 142.65282 \nL 261.224681 151.287465 \nL 253.042425 161.035568 \nL 244.585206 170.731434 \nL 235.931962 180.280641 \nL 228.133341 188.568181 \nL 220.280627 196.59659 \nL 212.412921 204.299152 \nL 205.543083 210.720396 \nL 198.707182 216.800283 \nL 192.887545 221.709487 \nL 187.11411 226.3146 \nL 181.394616 230.59331 \nL 175.735711 234.525066 \nL 171.070383 237.522993 \nL 166.453996 240.257344 \nL 161.889161 242.719556 \nL 157.37824 244.902215 \nL 152.923464 246.799124 \nL 148.526982 248.405341 \nL 144.190954 249.717225 \nL 139.917589 250.732439 \nL 136.545597 251.330305 \nL 133.216527 251.737796 \nL 129.931785 251.95557 \nL 126.692903 251.984865 \nL 123.501562 251.827453 \nL 120.359602 251.485662 \nL 117.269036 250.962318 \nL 114.23207 250.260787 \nL 111.251118 249.38491 \nL 108.328796 248.339028 \nL 104.762686 246.79993 \nL 101.298701 245.012975 \nL 97.943482 242.989446 \nL 94.704223 240.741483 \nL 91.588732 238.282035 \nL 88.605309 235.624747 \nL 85.762863 232.783869 \nL 83.070767 229.774128 \nL 80.538889 226.610659 \nL 78.177509 223.308854 \nL 75.997292 219.88428 \nL 74.009217 216.352563 \nL 72.224475 212.729291 \nL 70.654422 209.029912 \nL 69.3105 205.269609 \nL 68.204122 201.463243 \nL 67.346595 197.625265 \nL 66.748987 193.769603 \nL 66.422102 189.909614 \nL 66.362488 186.827072 \nL 66.487834 183.756096 \nL 66.802988 180.702572 \nL 67.312466 177.672062 \nL 68.020511 174.669798 \nL 68.930975 171.700677 \nL 70.047369 168.769243 \nL 71.37278 165.879686 \nL 72.909848 163.035849 \nL 74.660757 160.241215 \nL 76.627189 157.498918 \nL 78.810309 154.811746 \nL 81.210747 152.182147 \nL 83.82857 149.612239 \nL 86.663288 147.103823 \nL 89.713791 144.658394 \nL 92.978376 142.277158 \nL 97.356599 139.392287 \nL 102.059809 136.61044 \nL 107.080631 133.932335 \nL 112.410124 131.358214 \nL 118.03785 128.88789 \nL 123.951901 126.520843 \nL 130.138864 124.256287 \nL 137.902478 121.672722 \nL 146.009419 119.233447 \nL 154.42869 116.936527 \nL 163.126745 114.780165 \nL 173.578793 112.440097 \nL 184.300573 110.287764 \nL 195.227844 108.322763 \nL 206.293405 106.54605 \nL 217.427682 104.960149 \nL 230.14518 103.386805 \nL 242.751178 102.07725 \nL 253.604609 101.157063 \nL 264.217365 100.457555 \nL 274.518525 99.989742 \nL 284.439185 99.765733 \nL 293.913211 99.798469 \nL 301.630686 100.041021 \nL 308.936827 100.490516 \nL 315.797106 101.155257 \nL 321.150461 101.879362 \nL 326.155414 102.762739 \nL 330.796848 103.809294 \nL 335.061296 105.022498 \nL 338.193491 106.115028 \nL 341.071702 107.317317 \nL 343.691504 108.630299 \nL 346.049226 110.054626 \nL 348.141975 111.590624 \nL 349.967592 113.238273 \nL 351.524726 114.997199 \nL 352.812805 116.866659 \nL 353.831946 118.845513 \nL 354.583072 120.932229 \nL 355.067786 123.124854 \nL 355.288407 125.421027 \nL 355.247944 127.817967 \nL 354.95002 130.312463 \nL 354.398901 132.900876 \nL 353.59941 135.579156 \nL 352.556946 138.342827 \nL 351.277384 141.18701 \nL 349.354228 144.847372 \nL 347.083858 148.614086 \nL 344.480475 152.475082 \nL 341.559 156.417441 \nL 338.334981 160.427453 \nL 334.089376 165.308395 \nL 329.459421 170.23977 \nL 324.473757 175.194269 \nL 319.161002 180.143652 \nL 313.54958 185.058987 \nL 307.667367 189.910876 \nL 301.541504 194.66974 \nL 295.198176 199.306052 \nL 288.662478 203.790615 \nL 281.958255 208.094843 \nL 275.10805 212.191012 \nL 269.303332 215.426328 \nL 263.423448 218.483992 \nL 257.479239 221.350127 \nL 251.480895 224.011701 \nL 245.437983 226.456643 \nL 239.359485 228.673934 \nL 233.253845 230.653671 \nL 227.129026 232.387137 \nL 220.992554 233.866883 \nL 214.851605 235.086764 \nL 208.713059 236.041998 \nL 202.583578 236.729183 \nL 196.469686 237.146328 \nL 190.37784 237.292883 \nL 184.314508 237.169716 \nL 178.286242 236.779139 \nL 172.299771 236.124844 \nL 166.362036 235.211924 \nL 160.480291 234.046789 \nL 154.662134 232.637146 \nL 148.915602 230.991928 \nL 143.249168 229.121233 \nL 137.671818 227.036253 \nL 132.193065 224.749143 \nL 126.822983 222.272997 \nL 121.572209 219.621713 \nL 116.451938 216.809887 \nL 111.473935 213.852732 \nL 106.650455 210.765955 \nL 101.084345 206.913379 \nL 95.782166 202.925601 \nL 90.767712 198.831181 \nL 86.065371 194.658679 \nL 81.7 190.436386 \nL 78.337681 186.899816 \nL 75.241238 183.363606 \nL 72.425054 179.842928 \nL 69.903261 176.352385 \nL 67.689624 172.90593 \nL 65.797419 169.516783 \nL 64.239336 166.197364 \nL 63.241508 163.599827 \nL 62.470945 161.059828 \nL 61.932997 158.58247 \nL 61.632615 156.172456 \nL 61.574304 153.834076 \nL 61.762042 151.571199 \nL 62.199341 149.387268 \nL 62.889115 147.285297 \nL 63.833743 145.267872 \nL 65.034974 143.337154 \nL 66.493962 141.494882 \nL 68.211234 139.742385 \nL 70.18663 138.080587 \nL 72.419337 136.51002 \nL 74.907916 135.030847 \nL 77.650228 133.642866 \nL 80.643449 132.345539 \nL 84.732438 130.850025 \nL 89.199716 129.492475 \nL 94.035429 128.26992 \nL 99.228201 127.178818 \nL 104.765087 126.21514 \nL 111.843284 125.220676 \nL 119.368875 124.39508 \nL 127.311824 123.729704 \nL 137.06261 123.144111 \nL 147.281784 122.750514 \nL 159.458619 122.518431 \nL 172.077403 122.500658 \nL 186.681153 122.71629 \nL 201.579482 123.162936 \nL 216.627502 123.826572 \nL 231.679606 124.698968 \nL 246.591392 125.777877 \nL 261.221568 127.066894 \nL 273.879361 128.396193 \nL 286.115382 129.90788 \nL 296.407919 131.389362 \nL 306.257268 133.028279 \nL 315.61322 134.834075 \nL 323.205034 136.521999 \nL 330.374367 138.345458 \nL 337.097735 140.309963 \nL 342.344804 142.058374 \nL 347.257248 143.910618 \nL 351.825965 145.868682 \nL 356.043352 147.93402 \nL 359.903236 150.107476 \nL 362.730533 151.924225 \nL 365.324255 153.810044 \nL 367.683246 155.764367 \nL 369.806946 157.786289 \nL 371.695355 159.874557 \nL 373.349068 162.027555 \nL 374.769183 164.243302 \nL 375.957322 166.519428 \nL 376.915624 168.853186 \nL 377.646742 171.241442 \nL 378.153762 173.680675 \nL 378.440207 176.166979 \nL 378.510009 178.696066 \nL 378.367444 181.263278 \nL 378.017177 183.863592 \nL 377.46416 186.491638 \nL 376.713628 189.141706 \nL 375.506086 192.476041 \nL 374.009641 195.822914 \nL 372.235864 199.169216 \nL 370.196624 202.501252 \nL 367.903982 205.804797 \nL 365.370115 209.065198 \nL 362.6072 212.26746 \nL 359.627333 215.396338 \nL 356.442452 218.436441 \nL 353.064298 221.372337 \nL 349.504225 224.188662 \nL 345.773289 226.870206 \nL 341.882112 229.402069 \nL 337.840835 231.7697 \nL 333.659132 233.959072 \nL 329.346149 235.956725 \nL 324.91053 237.749915 \nL 320.360358 239.326685 \nL 315.703225 240.675968 \nL 310.946175 241.787648 \nL 306.095792 242.652659 \nL 301.158189 243.263073 \nL 296.13907 243.612108 \nL 291.043759 243.694228 \nL 285.877279 243.505165 \nL 280.644382 243.041979 \nL 275.349629 242.303013 \nL 269.99744 241.287994 \nL 264.592193 239.997975 \nL 259.138274 238.435355 \nL 253.64017 236.603865 \nL 248.102532 234.508523 \nL 242.530256 232.15561 \nL 236.928553 229.552618 \nL 231.303035 226.708206 \nL 225.659772 223.632153 \nL 218.87376 219.650406 \nL 212.084256 215.371187 \nL 205.305136 210.816822 \nL 198.55174 206.011205 \nL 191.840959 200.979657 \nL 185.19128 195.74865 \nL 177.537491 189.430311 \nL 170.029082 182.92255 \nL 162.703709 176.270916 \nL 155.60176 169.521304 \nL 148.766051 162.719476 \nL 142.241461 155.910608 \nL 136.074455 149.138849 \nL 130.312551 142.446909 \nL 125.732509 136.805545 \nL 121.515322 131.277402 \nL 117.690522 125.885653 \nL 114.286757 120.652026 \nL 111.791741 116.426049 \nL 109.623222 112.334686 \nL 107.795307 108.387884 \nL 106.321066 104.594731 \nL 105.404291 101.676373 \nL 104.726888 98.865393 \nL 104.293705 96.165203 \nL 104.108973 93.578855 \nL 104.176248 91.109018 \nL 104.498354 88.758001 \nL 105.077417 86.527758 \nL 105.91481 84.419886 \nL 107.011115 82.435641 \nL 108.366138 80.575944 \nL 109.97885 78.841394 \nL 111.847434 77.232286 \nL 113.969259 75.748625 \nL 116.34085 74.39016 \nL 118.957942 73.156375 \nL 121.815435 72.046519 \nL 124.907476 71.059625 \nL 129.092181 69.997183 \nL 133.618348 69.122467 \nL 138.469622 68.432554 \nL 143.628018 67.924221 \nL 149.073997 67.594084 \nL 155.959201 67.428153 \nL 163.189629 67.507545 \nL 170.724344 67.826125 \nL 178.520418 68.377905 \nL 186.533352 69.157226 \nL 194.717469 70.158855 \nL 203.026326 71.378054 \nL 211.413096 72.810652 \nL 219.830993 74.453071 \nL 228.233647 76.302345 \nL 236.575505 78.35613 \nL 244.812182 80.612603 \nL 252.900823 83.070458 \nL 260.800428 85.728759 \nL 267.210937 88.096665 \nL 273.441965 90.603045 \nL 279.473587 93.247634 \nL 285.287251 96.030116 \nL 290.865858 98.950059 \nL 296.193808 102.006851 \nL 301.257083 105.199623 \nL 306.043272 108.527173 \nL 309.665424 111.285191 \nL 313.098561 114.127424 \nL 316.338621 117.052623 \nL 319.382218 120.059306 \nL 322.226632 123.145736 \nL 324.869815 126.309898 \nL 327.310396 129.549482 \nL 329.547642 132.861878 \nL 331.581429 136.244139 \nL 333.412236 139.692992 \nL 335.041161 143.204815 \nL 336.469817 146.77563 \nL 337.700386 150.401097 \nL 338.735521 154.076515 \nL 339.578368 157.796813 \nL 340.232492 161.556557 \nL 340.701873 165.349952 \nL 340.990856 169.170845 \nL 341.105569 173.9757 \nL 340.955503 178.799913 \nL 340.55103 183.629283 \nL 339.903012 188.448886 \nL 339.022663 193.243133 \nL 337.92151 197.995837 \nL 336.611181 202.690315 \nL 335.103394 207.309446 \nL 333.409801 211.835783 \nL 331.541926 216.251647 \nL 329.511055 220.539252 \nL 327.328198 224.68078 \nL 325.003987 228.658534 \nL 322.548634 232.455035 \nL 319.971835 236.053156 \nL 317.282791 239.436241 \nL 314.490126 242.588215 \nL 311.601905 245.493705 \nL 308.625589 248.138196 \nL 305.568014 250.50805 \nL 303.067665 252.197724 \nL 300.522233 253.69767 \nL 297.934411 255.002461 \nL 295.30664 256.107207 \nL 292.641161 257.007544 \nL 289.939976 257.699724 \nL 287.204924 258.180551 \nL 284.437624 258.447439 \nL 281.639551 258.498422 \nL 278.812019 258.332189 \nL 275.956195 257.948032 \nL 273.073159 257.34588 \nL 270.163878 256.526318 \nL 267.229242 255.490559 \nL 264.270096 254.240435 \nL 261.287254 252.7784 \nL 257.526597 250.657536 \nL 253.731767 248.217615 \nL 249.904467 245.467208 \nL 246.046567 242.416235 \nL 242.160181 239.075818 \nL 237.46234 234.70259 \nL 232.731849 229.953388 \nL 227.974494 224.853283 \nL 223.197108 219.428971 \nL 217.608907 212.728397 \nL 212.019263 205.671336 \nL 206.445599 198.305835 \nL 200.121134 189.573297 \nL 193.87814 180.575626 \nL 187.7555 171.386282 \nL 181.796485 162.077542 \nL 176.048415 152.7197 \nL 170.562113 143.380326 \nL 165.391209 134.12366 \nL 161.169048 126.139487 \nL 157.268793 118.302702 \nL 153.728294 110.648387 \nL 151.008186 104.257324 \nL 148.6025 98.042704 \nL 146.532989 92.021558 \nL 145.079969 87.162894 \nL 143.885599 82.457391 \nL 142.959951 77.912351 \nL 142.312081 73.534315 \nL 141.949912 69.329064 \nL 141.870426 66.092712 \nL 141.980908 62.972468 \nL 142.283605 59.970326 \nL 142.780158 57.088029 \nL 143.471579 54.327022 \nL 144.358244 51.688536 \nL 145.439857 49.173543 \nL 146.715457 46.782807 \nL 148.183393 44.516894 \nL 149.841336 42.376166 \nL 151.686258 40.360811 \nL 153.714442 38.470845 \nL 155.921487 36.706171 \nL 158.302316 35.066542 \nL 160.851201 33.551611 \nL 163.561768 32.160928 \nL 167.166615 30.596493 \nL 170.998123 29.22423 \nL 175.039948 28.042907 \nL 179.27446 27.051205 \nL 183.682865 26.247831 \nL 188.24531 25.63151 \nL 192.941031 25.201055 \nL 197.748467 24.955359 \nL 202.645413 24.893466 \nL 208.607908 25.06069 \nL 214.626718 25.490366 \nL 220.661633 26.181794 \nL 226.672482 27.134654 \nL 231.634443 28.128428 \nL 236.529479 29.303968 \nL 241.335528 30.661637 \nL 246.0312 32.201895 \nL 250.595904 33.925265 \nL 255.009994 35.83234 \nL 259.254871 37.923723 \nL 263.313103 40.199954 \nL 267.168519 42.661483 \nL 270.096809 44.764325 \nL 272.878841 46.986022 \nL 275.508275 49.326545 \nL 277.979412 51.785746 \nL 280.287163 54.363331 \nL 282.427093 57.05885 \nL 284.395429 59.87169 \nL 286.189037 62.80102 \nL 287.805454 65.845812 \nL 289.24285 69.004826 \nL 290.500042 72.27654 \nL 291.576476 75.659182 \nL 292.472214 79.150719 \nL 293.187925 82.748796 \nL 293.72485 86.450784 \nL 294.084772 90.25371 \nL 294.270024 94.154289 \nL 294.260299 99.161771 \nL 293.988621 104.308302 \nL 293.462564 109.585174 \nL 292.690657 114.982817 \nL 291.682225 120.490766 \nL 290.447339 126.09769 \nL 288.996663 131.791386 \nL 286.986732 138.7199 \nL 284.702099 145.730351 \nL 282.163196 152.796929 \nL 279.390705 159.892264 \nL 276.405265 166.987557 \nL 272.680269 175.225131 \nL 268.724681 183.371954 \nL 264.568732 191.376679 \nL 260.241056 199.186777 \nL 255.768384 206.749059 \nL 251.837998 212.993381 \nL 247.833444 218.983217 \nL 243.767719 224.685864 \nL 239.652577 230.069506 \nL 235.498568 235.103511 \nL 232.014001 239.010355 \nL 228.513816 242.638224 \nL 225.002358 245.972167 \nL 221.483515 248.998353 \nL 217.960767 251.704153 \nL 214.437232 254.078249 \nL 211.619738 255.731995 \nL 208.804868 257.16268 \nL 205.993867 258.366532 \nL 203.187915 259.340443 \nL 200.38815 260.08195 \nL 197.595693 260.589282 \nL 194.811664 260.861377 \nL 192.03721 260.897854 \nL 189.273512 260.699024 \nL 186.521821 260.265929 \nL 183.783471 259.600264 \nL 181.059902 258.704444 \nL 178.352668 257.581534 \nL 175.663465 256.235263 \nL 172.994148 254.670004 \nL 170.346743 252.890719 \nL 167.723457 250.902984 \nL 164.481968 248.134556 \nL 161.287134 245.063135 \nL 158.144671 241.703013 \nL 155.060856 238.069557 \nL 152.042538 234.179087 \nL 149.097178 230.048739 \nL 146.232779 225.696344 \nL 142.914525 220.206322 \nL 139.741175 214.455739 \nL 136.729677 208.477822 \nL 133.897972 202.306096 \nL 131.264822 195.97407 \nL 128.849647 189.514932 \nL 126.672357 182.961312 \nL 125.054248 177.450755 \nL 123.627102 171.914529 \nL 122.402576 166.369898 \nL 121.392148 160.833456 \nL 120.607001 155.321064 \nL 120.057928 149.847802 \nL 119.755191 144.427914 \nL 119.708416 139.074779 \nL 119.9265 133.800877 \nL 120.297072 129.646609 \nL 120.845951 125.555966 \nL 121.576354 121.534064 \nL 122.491043 117.585646 \nL 123.592264 113.715079 \nL 124.881751 109.926354 \nL 126.360651 106.223118 \nL 128.029536 102.608661 \nL 129.888384 99.085934 \nL 131.936525 95.657569 \nL 134.17264 92.325884 \nL 136.594779 89.09291 \nL 139.200288 85.960401 \nL 141.985853 82.929849 \nL 144.947489 80.002525 \nL 148.080519 77.17947 \nL 151.37957 74.461538 \nL 154.838639 71.849406 \nL 159.377252 68.733811 \nL 164.14094 65.785096 \nL 169.113718 63.003756 \nL 174.278174 60.39011 \nL 179.615531 57.944352 \nL 185.105743 55.666608 \nL 190.727606 53.557 \nL 196.458873 51.615688 \nL 203.44814 49.508621 \nL 210.520069 47.644922 \nL 217.631924 46.025572 \nL 224.740084 44.65198 \nL 231.800441 43.525971 \nL 238.768802 42.649767 \nL 245.601294 42.026069 \nL 252.254774 41.65795 \nL 258.687241 41.548846 \nL 264.858217 41.702424 \nL 269.773074 42.033853 \nL 274.458384 42.552663 \nL 278.894284 43.261111 \nL 283.062227 44.161394 \nL 286.94516 45.255602 \nL 289.835851 46.271888 \nL 292.527038 47.414369 \nL 295.012283 48.683798 \nL 297.28586 50.080823 \nL 299.342817 51.605902 \nL 301.178947 53.259338 \nL 302.790813 55.041245 \nL 304.175769 56.951552 \nL 305.331946 58.989942 \nL 306.258234 61.155873 \nL 306.954314 63.448575 \nL 307.420602 65.867004 \nL 307.658254 68.409839 \nL 307.66915 71.075477 \nL 307.455863 73.862016 \nL 307.021629 76.767284 \nL 306.370329 79.788777 \nL 305.257822 83.724788 \nL 303.823147 87.831832 \nL 302.077531 92.10297 \nL 300.033323 96.530479 \nL 297.703882 101.105885 \nL 294.552101 106.778515 \nL 291.035961 112.633353 \nL 287.182457 118.651491 \nL 282.297391 125.85181 \nL 277.035739 133.211948 \nL 270.618841 141.771607 \nL 263.834653 150.432834 \nL 256.747044 159.133742 \nL 249.416738 167.809829 \nL 241.900536 176.394607 \nL 234.250652 184.820302 \nL 226.514322 193.018607 \nL 218.73355 200.921514 \nL 211.917914 207.541637 \nL 205.117797 213.840879 \nL 198.35166 219.777407 \nL 192.591182 224.547062 \nL 186.875801 228.99765 \nL 181.212834 233.107381 \nL 176.538314 236.257372 \nL 171.907772 239.146372 \nL 167.324055 241.765004 \nL 162.789729 244.105049 \nL 158.307187 246.159459 \nL 153.878668 247.922441 \nL 149.506379 249.389515 \nL 145.192555 250.557519 \nL 141.785154 251.275336 \nL 138.417925 251.800274 \nL 135.092223 252.132598 \nL 131.809504 252.273149 \nL 128.571377 252.223326 \nL 125.379573 251.985078 \nL 122.236001 251.560901 \nL 119.142742 250.953817 \nL 116.102095 250.167366 \nL 113.116546 249.205588 \nL 110.188782 248.073017 \nL 106.614863 246.424753 \nL 103.142085 244.528083 \nL 99.777262 242.394662 \nL 96.527781 240.037011 \nL 93.401623 237.46845 \nL 90.40735 234.702971 \nL 87.55403 231.755168 \nL 84.851243 228.640122 \nL 82.309087 225.373244 \nL 79.938022 221.970234 \nL 77.748899 218.44693 \nL 75.7529 214.819221 \nL 73.961402 211.102919 \nL 72.385928 207.313666 \nL 71.038086 203.466855 \nL 69.929432 199.577514 \nL 69.071414 195.66022 \nL 68.475223 191.72903 \nL 68.151722 187.797401 \nL 68.096304 184.660397 \nL 68.227207 181.537532 \nL 68.549255 178.434712 \nL 69.067 175.357517 \nL 69.784661 172.311186 \nL 70.706113 169.300623 \nL 71.834798 166.330368 \nL 73.173768 163.404608 \nL 74.725597 160.527173 \nL 76.492445 157.701532 \nL 78.475878 154.930802 \nL 80.676983 152.217749 \nL 83.096275 149.564799 \nL 85.733696 146.974044 \nL 88.588639 144.447262 \nL 91.65986 141.985922 \nL 94.945516 139.591208 \nL 99.350277 136.692868 \nL 104.079955 133.901264 \nL 109.126789 131.217079 \nL 114.481493 128.640514 \nL 120.13323 126.171359 \nL 126.069633 123.80907 \nL 132.27689 121.552852 \nL 140.061531 118.984005 \nL 148.18513 116.564596 \nL 156.615943 114.292718 \nL 165.319663 112.166616 \nL 175.769914 109.868512 \nL 186.479803 107.765435 \nL 197.384038 105.857075 \nL 208.414481 104.144536 \nL 219.500744 102.630451 \nL 230.570848 101.319129 \nL 241.551902 100.216561 \nL 252.370824 99.330412 \nL 262.955059 98.669874 \nL 273.233338 98.245512 \nL 283.136396 98.069011 \nL 291.275608 98.124457 \nL 299.050387 98.37935 \nL 306.423066 98.841903 \nL 313.358526 99.520223 \nL 318.780654 100.255934 \nL 323.859547 101.151117 \nL 328.579679 102.209653 \nL 332.927145 103.434981 \nL 336.128628 104.537332 \nL 339.078425 105.749566 \nL 341.771904 107.072648 \nL 344.205179 108.50727 \nL 346.37515 110.053793 \nL 348.279464 111.712255 \nL 349.916552 113.482339 \nL 351.285605 115.363372 \nL 352.386609 117.354292 \nL 353.22024 119.453636 \nL 353.787938 121.659545 \nL 354.09183 123.969737 \nL 354.13474 126.381524 \nL 353.920155 128.891783 \nL 353.45218 131.496976 \nL 352.735492 134.193141 \nL 351.775337 136.975894 \nL 350.577468 139.840448 \nL 348.755385 143.528225 \nL 346.584739 147.324672 \nL 344.079558 151.217876 \nL 341.254593 155.195061 \nL 338.125267 159.242642 \nL 334.707496 163.346297 \nL 330.248301 168.323542 \nL 325.425656 173.332887 \nL 320.268158 178.346296 \nL 314.804263 183.334942 \nL 309.061973 188.269449 \nL 303.068631 193.120143 \nL 296.850671 197.857314 \nL 290.43347 202.451473 \nL 283.841205 206.873629 \nL 277.096742 211.095537 \nL 271.37565 214.44118 \nL 265.575512 217.613792 \nL 259.707359 220.599038 \nL 253.781546 223.383402 \nL 247.807801 225.954288 \nL 241.795245 228.300094 \nL 235.752431 230.41034 \nL 229.687408 232.275686 \nL 223.607763 233.888049 \nL 217.520692 235.24059 \nL 211.433069 236.327855 \nL 205.351519 237.145761 \nL 199.282485 237.691626 \nL 193.232315 237.964208 \nL 187.207336 237.963703 \nL 181.213929 237.691741 \nL 175.258597 237.151385 \nL 169.348066 236.34709 \nL 163.489308 235.284665 \nL 157.68965 233.971258 \nL 151.956798 232.415263 \nL 146.298916 230.626298 \nL 140.724642 228.615087 \nL 135.243157 226.393399 \nL 129.864179 223.973984 \nL 124.597982 221.37042 \nL 119.455438 218.597077 \nL 114.447959 215.668964 \nL 109.587549 212.601656 \nL 104.886717 209.411155 \nL 99.474674 205.442953 \nL 94.334428 201.349481 \nL 89.490002 197.159502 \nL 84.966025 192.901666 \nL 81.458832 189.322033 \nL 78.206035 185.730927 \nL 75.22211 182.143957 \nL 72.521393 178.576217 \nL 70.117937 175.042212 \nL 68.025416 171.555767 \nL 66.256979 168.12995 \nL 64.825168 164.777013 \nL 63.930025 162.154808 \nL 63.263518 159.591931 \nL 62.830873 157.093382 \nL 62.636891 154.663753 \nL 62.68593 152.307218 \nL 62.981784 150.027529 \nL 63.527793 147.828013 \nL 64.326677 145.711566 \nL 65.380644 143.680662 \nL 66.691225 141.737347 \nL 68.259335 139.883254 \nL 70.085271 138.119607 \nL 72.168645 136.447233 \nL 74.508428 134.866574 \nL 77.102893 133.377707 \nL 79.949662 131.980358 \nL 83.045636 130.67392 \nL 87.260313 129.167301 \nL 91.849737 127.798876 \nL 96.803535 126.565625 \nL 102.109762 125.463983 \nL 108.923466 124.310038 \nL 116.199371 123.332158 \nL 123.908762 122.522148 \nL 133.409023 121.777958 \nL 143.402812 121.237009 \nL 153.832488 120.885895 \nL 166.207466 120.700789 \nL 178.976565 120.729794 \nL 193.6895 121.000073 \nL 208.631206 121.506283 \nL 223.655131 122.237445 \nL 238.614823 123.188414 \nL 253.365897 124.359885 \nL 266.189225 125.591243 \nL 278.641923 127.009375 \nL 289.162998 128.411487 \nL 299.274256 129.972592 \nL 308.922478 131.701634 \nL 316.786496 133.324409 \nL 324.245898 135.083293 \nL 331.274987 136.983928 \nL 336.787189 138.67984 \nL 341.97278 140.480487 \nL 346.821401 142.388151 \nL 351.324124 144.404634 \nL 355.473539 146.531192 \nL 359.263632 148.768458 \nL 362.033968 150.637967 \nL 364.569824 152.577937 \nL 366.870184 154.587672 \nL 368.934635 156.666136 \nL 370.763304 158.811939 \nL 372.356911 161.023327 \nL 373.716737 163.298169 \nL 374.844541 165.633953 \nL 375.742623 168.027779 \nL 376.413772 170.476359 \nL 376.861235 172.976017 \nL 377.088671 175.522694 \nL 377.10015 178.111944 \nL 376.900143 180.738956 \nL 376.493406 183.398551 \nL 375.885039 186.085202 \nL 375.080404 188.793045 \nL 373.807165 192.198203 \nL 372.247401 195.614076 \nL 370.412866 199.027284 \nL 368.315612 202.423847 \nL 365.967872 205.789291 \nL 363.381959 209.108707 \nL 360.570177 212.366884 \nL 357.544725 215.548357 \nL 354.317619 218.637548 \nL 350.900626 221.618839 \nL 347.305166 224.476698 \nL 343.542319 227.195808 \nL 339.622673 229.761128 \nL 335.556391 232.158037 \nL 331.353113 234.372427 \nL 327.021973 236.390811 \nL 322.571513 238.200437 \nL 318.009782 239.789349 \nL 313.344314 241.146513 \nL 308.582078 242.261887 \nL 303.729587 243.126481 \nL 298.792887 243.732467 \nL 293.77761 244.073204 \nL 288.689015 244.143307 \nL 283.532054 243.938684 \nL 278.311419 243.456564 \nL 273.031616 242.695539 \nL 267.69704 241.655537 \nL 262.312022 240.33787 \nL 256.880933 238.745185 \nL 251.408235 236.881468 \nL 245.898574 234.752005 \nL 240.356857 232.363368 \nL 234.788305 229.723323 \nL 229.198557 226.840805 \nL 223.593717 223.725866 \nL 216.857375 219.696802 \nL 210.121506 215.370005 \nL 203.400087 210.768222 \nL 196.708563 205.915792 \nL 190.063935 200.838415 \nL 183.484807 195.562916 \nL 175.919007 189.194821 \nL 168.504853 182.640014 \nL 161.280108 175.944441 \nL 154.285233 169.154289 \nL 147.563054 162.315537 \nL 141.158391 155.473492 \nL 135.117577 148.672355 \nL 130.265159 142.907772 \nL 125.744783 137.230417 \nL 121.586267 131.664893 \nL 117.818944 126.234462 \nL 114.998895 121.828078 \nL 112.486146 117.542465 \nL 110.295788 113.388609 \nL 108.442022 109.37665 \nL 106.937997 105.515874 \nL 105.994696 102.541782 \nL 105.28848 99.67373 \nL 104.824279 96.915229 \nL 104.606447 94.269432 \nL 104.638667 91.739115 \nL 104.923933 89.326691 \nL 105.464488 87.034205 \nL 106.261875 84.863355 \nL 107.316836 82.815498 \nL 108.62935 80.891641 \nL 110.198569 79.092488 \nL 112.022836 77.418427 \nL 114.099716 75.869552 \nL 116.425904 74.445677 \nL 118.99733 73.146386 \nL 121.809072 71.971014 \nL 124.855453 70.918667 \nL 128.130014 69.988274 \nL 132.533036 68.994872 \nL 137.265579 68.187327 \nL 142.31028 67.562593 \nL 147.648177 67.117411 \nL 153.258856 66.848397 \nL 160.321005 66.753224 \nL 167.704677 66.900682 \nL 175.367839 67.284874 \nL 183.266704 67.900142 \nL 191.356105 68.741206 \nL 199.589893 69.803276 \nL 207.921352 71.082066 \nL 216.303593 72.573918 \nL 224.68996 74.27576 \nL 233.034417 76.185138 \nL 241.291929 78.30017 \nL 249.418816 80.619497 \nL 257.373107 83.14219 \nL 265.114843 85.867663 \nL 271.376696 88.29353 \nL 277.444339 90.85978 \nL 283.298689 93.566218 \nL 288.922088 96.412551 \nL 294.298362 99.398319 \nL 299.412905 102.522826 \nL 304.252722 105.785073 \nL 307.919082 108.49314 \nL 311.397256 111.287578 \nL 314.682896 114.167266 \nL 317.772307 117.130862 \nL 320.6625 120.176772 \nL 323.351143 123.30313 \nL 325.836601 126.507786 \nL 328.117866 129.788282 \nL 330.194586 133.141837 \nL 332.067023 136.56534 \nL 333.736011 140.055337 \nL 335.203003 143.608015 \nL 336.469977 147.219201 \nL 337.539424 150.884355 \nL 338.414319 154.59857 \nL 339.098113 158.356566 \nL 339.594672 162.152698 \nL 339.908225 165.980959 \nL 340.049864 170.801741 \nL 339.922403 175.649571 \nL 339.536155 180.510471 \nL 338.901936 185.369702 \nL 338.030986 190.211828 \nL 336.93483 195.020794 \nL 335.625232 199.779976 \nL 334.11397 204.472297 \nL 332.412876 209.080297 \nL 330.533659 213.586247 \nL 328.487799 217.972245 \nL 326.286522 222.220309 \nL 323.940702 226.312546 \nL 321.460802 230.231213 \nL 318.856801 233.95886 \nL 316.138191 237.478475 \nL 313.313889 240.773541 \nL 310.392242 243.828252 \nL 307.380996 246.627543 \nL 304.287315 249.157262 \nL 301.117714 251.404251 \nL 298.531379 252.990125 \nL 295.903036 254.381676 \nL 293.235231 255.573821 \nL 290.530273 256.561989 \nL 287.790259 257.342188 \nL 285.017093 257.911006 \nL 282.212497 258.265664 \nL 279.378014 258.403966 \nL 276.515027 258.324369 \nL 273.624805 258.025964 \nL 270.708492 257.5085 \nL 267.767128 256.772342 \nL 264.80169 255.818508 \nL 261.813103 254.648653 \nL 258.802245 253.265054 \nL 255.008694 251.239408 \nL 251.183465 248.891269 \nL 247.328416 246.228977 \nL 243.445551 243.262205 \nL 239.537135 240.001862 \nL 235.605721 236.460028 \nL 230.86181 231.856859 \nL 226.094887 226.891894 \nL 221.311837 221.591488 \nL 216.520689 215.983475 \nL 210.933232 209.090862 \nL 205.36447 201.866966 \nL 199.834039 194.360804 \nL 193.589226 185.500425 \nL 187.461293 176.410534 \nL 181.49223 167.164664 \nL 175.728153 157.834729 \nL 170.218798 148.490222 \nL 165.01688 139.197539 \nL 160.760505 131.158347 \nL 156.819066 123.246318 \nL 153.230295 115.498206 \nL 150.463183 109.013247 \nL 148.005429 102.693398 \nL 145.879002 96.556723 \nL 144.375109 91.594645 \nL 143.126978 86.779853 \nL 142.144985 82.120192 \nL 141.438518 77.622731 \nL 141.015906 73.293791 \nL 140.88701 69.95572 \nL 140.947408 66.731562 \nL 141.199586 63.62354 \nL 141.645442 60.633592 \nL 142.286275 57.763384 \nL 143.12273 55.014314 \nL 144.154802 52.387544 \nL 145.381821 49.884002 \nL 146.802432 47.504397 \nL 148.414602 45.249235 \nL 150.21559 43.118833 \nL 152.201991 41.113326 \nL 154.369676 39.232703 \nL 156.713849 37.476814 \nL 159.229062 35.845385 \nL 161.909198 34.338035 \nL 164.7475 32.954295 \nL 168.506517 31.397627 \nL 172.485464 30.032103 \nL 176.667321 28.856474 \nL 181.033845 27.869457 \nL 185.565666 27.069776 \nL 190.242396 26.456236 \nL 195.042786 26.027676 \nL 199.944843 25.783095 \nL 205.929677 25.731218 \nL 211.988527 25.94181 \nL 218.081009 26.414064 \nL 224.166589 27.147521 \nL 229.203538 27.958246 \nL 234.184677 28.950479 \nL 239.087432 30.124557 \nL 243.889821 31.480942 \nL 248.570593 33.020191 \nL 253.10936 34.742932 \nL 257.486725 36.649848 \nL 261.684395 38.741585 \nL 265.685291 41.018763 \nL 269.473641 43.481851 \nL 272.341567 45.586412 \nL 275.05753 47.810251 \nL 277.615471 50.153334 \nL 280.00994 52.615484 \nL 282.236142 55.196399 \nL 284.289943 57.895601 \nL 286.167862 60.712426 \nL 287.867081 63.646025 \nL 289.385444 66.695298 \nL 290.721447 69.858935 \nL 291.874234 73.135369 \nL 292.843575 76.522757 \nL 293.629854 80.018975 \nL 294.234059 83.6216 \nL 294.657741 87.3279 \nL 294.903002 91.13482 \nL 294.962736 96.029784 \nL 294.754028 101.069289 \nL 294.284184 106.245133 \nL 293.561499 111.548236 \nL 292.595164 116.968652 \nL 291.395123 122.495552 \nL 289.972001 128.117239 \nL 287.985538 134.970632 \nL 285.714002 141.919081 \nL 283.178077 148.937598 \nL 280.398738 155.999602 \nL 277.397027 163.077028 \nL 273.641812 171.314211 \nL 269.644726 179.48357 \nL 265.436983 187.534557 \nL 261.048247 195.415263 \nL 256.50633 203.072917 \nL 251.836987 210.454429 \nL 247.751159 216.521594 \nL 243.602482 222.314291 \nL 239.403168 227.800546 \nL 235.164183 232.949464 \nL 231.608467 236.961197 \nL 228.037055 240.70196 \nL 224.454475 244.156502 \nL 220.864788 247.31061 \nL 217.271625 250.151258 \nL 213.678237 252.666657 \nL 210.805342 254.437743 \nL 207.935555 255.989301 \nL 205.070159 257.317267 \nL 202.210367 258.418232 \nL 199.357349 259.289433 \nL 196.512238 259.928744 \nL 193.676172 260.334783 \nL 190.8503 260.506834 \nL 188.035802 260.444861 \nL 185.233927 260.149537 \nL 182.445996 259.622235 \nL 179.673431 258.865009 \nL 176.917764 257.880577 \nL 174.180669 256.672342 \nL 171.463968 255.244322 \nL 168.76966 253.601168 \nL 166.099922 251.74814 \nL 163.457128 249.691065 \nL 160.195488 246.842491 \nL 156.985527 243.698594 \nL 153.833351 240.274046 \nL 150.745632 236.584515 \nL 147.729635 232.646586 \nL 144.793205 228.477609 \nL 141.944784 224.095601 \nL 138.65556 218.582084 \nL 135.522638 212.821201 \nL 132.563638 206.846167 \nL 129.797087 200.690368 \nL 127.242279 194.38708 \nL 124.91911 187.969168 \nL 123.174717 182.556621 \nL 121.617137 177.105028 \nL 120.25821 171.632029 \nL 119.109676 166.154654 \nL 118.183033 160.689254 \nL 117.489463 155.251436 \nL 117.039714 149.856008 \nL 116.843949 144.516934 \nL 116.911647 139.247304 \nL 117.161389 135.089817 \nL 117.589358 130.990405 \nL 118.199189 126.954502 \nL 118.99406 122.987163 \nL 119.97667 119.093065 \nL 121.149191 115.276509 \nL 122.513293 111.54143 \nL 124.070026 107.891409 \nL 125.819878 104.329667 \nL 127.762717 100.859091 \nL 129.897759 97.48225 \nL 132.223576 94.201397 \nL 134.738074 91.018503 \nL 137.438471 87.935263 \nL 140.321313 84.953104 \nL 143.382449 82.073234 \nL 146.617049 79.296654 \nL 150.019608 76.624148 \nL 153.583928 74.056348 \nL 158.256319 70.994571 \nL 163.155917 68.097813 \nL 168.266401 65.366499 \nL 173.570026 62.800896 \nL 179.04765 60.401144 \nL 184.678878 58.167324 \nL 190.442162 56.099542 \nL 196.314896 54.19794 \nL 203.473502 52.135737 \nL 210.713755 50.313908 \nL 217.992336 48.733488 \nL 225.265061 47.395967 \nL 232.487272 46.303264 \nL 239.614244 45.457754 \nL 246.601597 44.862271 \nL 253.4057 44.520064 \nL 259.984088 44.43472 \nL 266.295848 44.61011 \nL 271.323788 44.958365 \nL 276.118111 45.492876 \nL 280.658725 46.216008 \nL 284.9269 47.130062 \nL 288.905406 48.237199 \nL 291.869089 49.263262 \nL 294.630106 50.415077 \nL 297.181952 51.693433 \nL 299.518842 53.098967 \nL 301.635751 54.632168 \nL 303.528436 56.293352 \nL 305.193428 58.082654 \nL 306.628035 59.999949 \nL 307.830363 62.044936 \nL 308.799287 64.217048 \nL 309.53447 66.515463 \nL 310.036316 68.939098 \nL 310.305988 71.486574 \nL 310.345365 74.156224 \nL 310.157032 76.946101 \nL 309.744246 79.853911 \nL 309.110903 82.877077 \nL 308.261505 86.01269 \nL 306.903709 90.085382 \nL 305.227335 94.321677 \nL 303.24461 98.713754 \nL 300.968781 103.253011 \nL 297.870857 108.881136 \nL 294.39709 114.689982 \nL 290.574492 120.660344 \nL 285.711098 127.802239 \nL 280.455848 135.100552 \nL 274.853933 142.517686 \nL 268.084574 151.088823 \nL 260.985717 159.700858 \nL 253.619373 168.288848 \nL 246.043814 176.785888 \nL 238.312866 185.12382 \nL 230.475456 193.234011 \nL 223.564912 200.089948 \nL 216.632433 206.674298 \nL 209.700976 212.943323 \nL 203.775792 218.033864 \nL 197.877104 222.83659 \nL 192.014529 227.327689 \nL 186.196434 231.484959 \nL 181.387275 234.679618 \nL 176.617768 237.617555 \nL 171.891234 240.289136 \nL 167.210674 242.685842 \nL 162.578855 244.800294 \nL 157.998373 246.626418 \nL 153.471742 248.159406 \nL 149.001462 249.395776 \nL 144.590082 250.333395 \nL 141.105179 250.867827 \nL 137.661139 251.210795 \nL 134.259529 251.363115 \nL 130.902036 251.32616 \nL 127.590476 251.101869 \nL 124.326841 250.692703 \nL 121.113278 250.101683 \nL 117.952144 249.332324 \nL 114.845972 248.388665 \nL 111.044799 246.970901 \nL 107.339749 245.297672 \nL 103.737258 243.379828 \nL 100.244345 241.229209 \nL 96.868615 238.85846 \nL 93.618254 236.28107 \nL 90.502008 233.511154 \nL 87.529116 230.563404 \nL 84.709422 227.452981 \nL 82.053147 224.195415 \nL 79.570971 220.806445 \nL 77.273939 217.301948 \nL 75.173357 213.697839 \nL 73.280797 210.009942 \nL 71.607945 206.25389 \nL 70.16653 202.445039 \nL 68.968249 198.598361 \nL 68.024684 194.728388 \nL 67.347121 190.849089 \nL 66.946559 186.973822 \nL 66.832623 183.885056 \nL 66.907845 180.813157 \nL 67.177082 177.763957 \nL 67.644908 174.742965 \nL 68.315554 171.755341 \nL 69.192895 168.805893 \nL 70.280419 165.899074 \nL 71.581167 163.03897 \nL 73.097724 160.229306 \nL 74.832192 157.473444 \nL 76.78615 154.774387 \nL 78.960672 152.134783 \nL 81.35625 149.556936 \nL 83.972816 147.042813 \nL 86.809718 144.594059 \nL 89.865674 142.21201 \nL 93.138823 139.897714 \nL 97.531795 137.101266 \nL 102.253893 134.412817 \nL 107.297296 131.83276 \nL 112.652641 129.361008 \nL 118.309042 126.997059 \nL 124.254124 124.74007 \nL 130.47401 122.588944 \nL 138.278985 120.145515 \nL 146.428561 117.850285 \nL 154.890994 115.700827 \nL 163.632016 113.694883 \nL 174.133048 111.533447 \nL 184.901666 109.56253 \nL 195.872776 107.781092 \nL 206.97847 106.189532 \nL 218.148622 104.78986 \nL 230.901414 103.430035 \nL 243.536325 102.334078 \nL 254.409793 101.600359 \nL 265.037844 101.086482 \nL 275.34988 100.803047 \nL 285.277492 100.761788 \nL 293.431139 100.928654 \nL 301.214962 101.2908 \nL 308.592014 101.856439 \nL 315.527914 102.633639 \nL 320.947973 103.448481 \nL 326.023047 104.419771 \nL 330.738091 105.55131 \nL 335.079681 106.846466 \nL 338.276144 108.002324 \nL 341.22091 109.265899 \nL 343.909564 110.638101 \nL 346.338426 112.11953 \nL 348.50459 113.710483 \nL 350.405908 115.410905 \nL 352.040973 117.220398 \nL 353.409156 119.138183 \nL 354.510583 121.163089 \nL 355.346078 123.293553 \nL 355.917206 125.527596 \nL 356.226209 127.862829 \nL 356.275991 130.296431 \nL 356.070118 132.825159 \nL 355.612754 135.445352 \nL 354.908631 138.152916 \nL 353.963031 140.943344 \nL 352.781695 143.81171 \nL 350.983073 147.498624 \nL 348.838941 151.28772 \nL 346.363237 155.166838 \nL 343.570583 159.122957 \nL 340.476266 163.142262 \nL 337.095997 167.210207 \nL 332.684811 172.134499 \nL 327.913 177.07957 \nL 322.808736 182.017102 \nL 317.399928 186.918033 \nL 311.71404 191.752817 \nL 305.777842 196.491671 \nL 299.617211 201.10483 \nL 293.256938 205.562834 \nL 286.720611 209.836819 \nL 280.030543 213.898729 \nL 274.35319 217.1022 \nL 268.595036 220.124821 \nL 262.766817 222.952513 \nL 256.878624 225.572057 \nL 250.939931 227.97118 \nL 244.959632 230.138696 \nL 238.94608 232.06451 \nL 232.907145 233.739749 \nL 226.850266 235.156805 \nL 220.78252 236.309391 \nL 214.710693 237.192609 \nL 208.641349 237.802943 \nL 202.580907 238.138331 \nL 196.535719 238.198126 \nL 190.51215 237.983186 \nL 184.51665 237.495761 \nL 178.555831 236.73958 \nL 172.636538 235.719726 \nL 166.765926 234.44268 \nL 160.951513 232.916211 \nL 155.201231 231.149314 \nL 149.523506 229.152237 \nL 143.927257 226.936262 \nL 138.421973 224.513728 \nL 133.017698 221.897895 \nL 127.725072 219.102855 \nL 122.555322 216.143424 \nL 117.520254 213.035047 \nL 112.632267 209.793669 \nL 106.979021 205.751503 \nL 101.579405 201.570155 \nL 96.457579 197.278715 \nL 91.638342 192.906297 \nL 87.147064 188.481781 \nL 83.673349 184.775366 \nL 80.460078 181.068497 \nL 77.522035 177.376723 \nL 74.873798 173.715034 \nL 72.529602 170.097777 \nL 70.503236 166.538582 \nL 68.807951 163.050277 \nL 67.698531 160.318751 \nL 66.815061 157.64599 \nL 66.163212 155.037317 \nL 65.748209 152.497653 \nL 65.574842 150.031508 \nL 65.6474 147.64297 \nL 65.969654 145.335702 \nL 66.544841 143.112937 \nL 67.375591 140.97748 \nL 68.463927 138.931705 \nL 69.811255 136.977569 \nL 71.418319 135.116611 \nL 73.285199 133.349962 \nL 75.411301 131.678365 \nL 77.795342 130.102179 \nL 80.435336 128.621401 \nL 83.328616 127.235683 \nL 86.471799 125.944358 \nL 90.745954 124.461435 \nL 95.394809 123.121956 \nL 100.407262 121.922819 \nL 105.770701 120.860399 \nL 111.470985 119.930637 \nL 118.733901 118.983815 \nL 126.429738 118.213575 \nL 134.526314 117.611518 \nL 144.432517 117.110341 \nL 154.778385 116.813219 \nL 167.060883 116.707319 \nL 179.739476 116.834196 \nL 192.71351 117.178971 \nL 207.53402 117.812517 \nL 222.449395 118.694672 \nL 237.311242 119.818934 \nL 250.35859 121.020701 \nL 263.148174 122.415969 \nL 275.583793 124.010724 \nL 286.102554 125.576454 \nL 296.222461 127.308436 \nL 304.538201 128.931206 \nL 312.489708 130.687004 \nL 320.047925 132.581026 \nL 327.186445 134.618279 \nL 332.797443 136.428757 \nL 338.088349 138.344302 \nL 343.048413 140.366919 \nL 347.668352 142.498171 \nL 351.940403 144.739096 \nL 355.858255 147.090138 \nL 358.734248 149.05013 \nL 361.3787 151.080028 \nL 363.790422 153.179073 \nL 365.968843 155.346176 \nL 367.913986 157.579903 \nL 369.626422 159.87846 \nL 371.107294 162.239689 \nL 372.358249 164.661053 \nL 373.381482 167.139637 \nL 374.179681 169.672141 \nL 374.755943 172.254881 \nL 375.113858 174.883792 \nL 375.257406 177.554428 \nL 375.190943 180.261975 \nL 374.919145 183.001256 \nL 374.447043 185.766751 \nL 373.779907 188.552594 \nL 372.680183 192.05407 \nL 371.295604 195.564931 \nL 369.637821 199.071802 \nL 367.71877 202.560683 \nL 365.550559 206.017076 \nL 363.145411 209.426046 \nL 360.515536 212.772326 \nL 357.673055 216.040391 \nL 354.629892 219.214593 \nL 351.397745 222.279244 \nL 347.987977 225.218714 \nL 344.411577 228.017567 \nL 340.679063 230.66065 \nL 336.800509 233.133214 \nL 332.785507 235.420992 \nL 328.643055 237.510356 \nL 324.381637 239.388366 \nL 320.009188 241.042909 \nL 315.533117 242.462772 \nL 310.960272 243.63771 \nL 306.296982 244.558565 \nL 301.549142 245.217288 \nL 297.69366 245.550922 \nL 293.790152 245.709477 \nL 289.84107 245.690561 \nL 285.848746 245.492314 \nL 280.800918 244.990375 \nL 275.693172 244.204881 \nL 270.529522 243.135877 \nL 265.313953 241.784735 \nL 260.050419 240.154236 \nL 254.742987 238.248418 \nL 249.395868 236.072701 \nL 244.013518 233.633727 \nL 238.600702 230.939378 \nL 233.162566 227.998677 \nL 227.704715 224.821756 \nL 221.137931 220.713419 \nL 214.563304 216.302143 \nL 207.993871 211.610787 \nL 201.444124 206.663782 \nL 194.930099 201.486923 \nL 187.399171 195.192672 \nL 179.971766 188.666432 \nL 172.681729 181.953579 \nL 165.565833 175.100153 \nL 158.663593 168.152382 \nL 152.016973 161.156212 \nL 145.670014 154.156863 \nL 139.668383 147.198409 \nL 134.058836 140.323385 \nL 129.598469 134.52777 \nL 125.490415 128.847634 \nL 121.763795 123.305929 \nL 118.44692 117.92414 \nL 116.015428 113.575892 \nL 113.902179 109.363198 \nL 112.121119 105.295882 \nL 110.685169 101.382909 \nL 109.792792 98.369117 \nL 109.134209 95.463033 \nL 108.714221 92.668038 \nL 108.537024 89.98714 \nL 108.606117 87.422998 \nL 108.924358 84.977905 \nL 109.49384 82.653818 \nL 110.315946 80.452344 \nL 111.391281 78.374763 \nL 112.719653 76.42204 \nL 114.300066 74.594818 \nL 116.130724 72.893454 \nL 118.20901 71.318021 \nL 120.531494 69.868349 \nL 123.093956 68.544013 \nL 125.891361 67.344394 \nL 128.917882 66.268624 \nL 132.16694 65.315684 \nL 136.529962 64.295467 \nL 141.213277 63.462753 \nL 146.19933 62.814693 \nL 151.468975 62.348266 \nL 157.001642 62.060292 \nL 163.957105 61.945751 \nL 171.219645 62.078012 \nL 178.747117 62.451675 \nL 186.495661 63.06162 \nL 194.4201 63.9031 \nL 202.474353 64.971857 \nL 210.611842 66.264125 \nL 218.785893 67.776736 \nL 226.950144 69.507075 \nL 235.05894 71.453116 \nL 243.067709 73.613353 \nL 250.933334 75.986732 \nL 258.614481 78.572575 \nL 264.846155 80.889445 \nL 270.90101 83.353419 \nL 276.758881 85.964355 \nL 282.400962 88.722041 \nL 287.809884 91.626145 \nL 292.969824 94.676162 \nL 297.866507 97.871304 \nL 301.585763 100.531182 \nL 305.122706 103.282488 \nL 308.472316 106.124282 \nL 311.630272 109.055414 \nL 314.592937 112.074502 \nL 317.357361 115.179904 \nL 319.921287 118.369712 \nL 322.283102 121.641724 \nL 324.44188 124.993424 \nL 326.397324 128.421977 \nL 328.1498 131.924212 \nL 329.700211 135.496601 \nL 331.050078 139.135263 \nL 332.201458 142.835951 \nL 333.156925 146.594044 \nL 333.919577 150.404549 \nL 334.492912 154.262098 \nL 334.880897 158.160949 \nL 335.087856 162.094992 \nL 335.099152 167.052149 \nL 334.844733 172.040756 \nL 334.335072 177.046595 \nL 333.581144 182.054675 \nL 332.594304 187.049287 \nL 331.386247 192.014091 \nL 329.968808 196.932155 \nL 328.353946 201.786073 \nL 326.553552 206.558043 \nL 324.579426 211.229978 \nL 322.443137 215.78359 \nL 320.155983 220.200508 \nL 317.728883 224.462409 \nL 315.172354 228.55113 \nL 312.496437 232.448782 \nL 309.71062 236.137889 \nL 306.823874 239.601508 \nL 303.844574 242.823337 \nL 300.780488 245.787842 \nL 297.638791 248.480403 \nL 294.42604 250.887389 \nL 291.808714 252.598919 \nL 289.152537 254.113788 \nL 286.460058 255.426664 \nL 283.733616 256.532783 \nL 280.975343 257.427921 \nL 278.187159 258.108482 \nL 275.370838 258.5715 \nL 272.527957 258.814601 \nL 269.65995 258.836068 \nL 266.768139 258.634846 \nL 263.853729 258.210528 \nL 260.917822 257.563371 \nL 257.961463 256.694295 \nL 254.985649 255.604852 \nL 251.991354 254.297254 \nL 248.979545 252.774318 \nL 245.191661 250.573149 \nL 241.379987 248.048982 \nL 237.546713 245.211239 \nL 233.694271 242.070636 \nL 229.825393 238.639128 \nL 225.94317 234.929804 \nL 221.271864 230.131833 \nL 216.593401 224.980311 \nL 211.91586 219.503045 \nL 207.248524 213.729189 \nL 201.830376 206.65861 \nL 196.459686 199.27503 \nL 191.158142 191.628836 \nL 185.215165 182.633841 \nL 179.434564 173.437552 \nL 173.860633 164.114142 \nL 168.541246 154.735669 \nL 164.135509 146.538794 \nL 159.999048 138.39689 \nL 156.1682 130.351703 \nL 153.155605 123.562544 \nL 150.417381 116.896242 \nL 147.976017 110.374219 \nL 145.853294 104.016255 \nL 144.342752 98.856378 \nL 143.079214 93.832623 \nL 142.073217 88.953754 \nL 141.334404 84.227728 \nL 140.87142 79.661696 \nL 140.691799 75.262033 \nL 140.756405 71.865886 \nL 141.009057 68.582341 \nL 141.451827 65.413621 \nL 142.086177 62.361682 \nL 142.912965 59.428181 \nL 143.932402 56.614535 \nL 145.144054 53.921921 \nL 146.546813 51.351253 \nL 148.138905 48.903246 \nL 149.917878 46.578406 \nL 151.880577 44.37706 \nL 154.023171 42.29936 \nL 156.341161 40.345295 \nL 158.829362 38.514752 \nL 161.48195 36.807473 \nL 164.292451 35.223113 \nL 168.016784 33.414851 \nL 171.961599 31.796989 \nL 176.110376 30.368456 \nL 180.445323 29.128109 \nL 184.947489 28.074788 \nL 189.596866 27.207387 \nL 194.372529 26.524859 \nL 199.252766 26.026268 \nL 204.21521 25.710797 \nL 210.246436 25.573062 \nL 216.322942 25.697345 \nL 222.404234 26.083219 \nL 228.44985 26.730695 \nL 233.431707 27.47036 \nL 238.338214 28.392349 \nL 243.147138 29.49722 \nL 247.836939 30.785645 \nL 252.386883 32.258404 \nL 256.777171 33.916329 \nL 260.989087 35.760254 \nL 265.005093 37.790965 \nL 268.808917 40.009208 \nL 271.689141 41.919232 \nL 274.417041 43.949882 \nL 276.986272 46.101298 \nL 279.391117 48.373481 \nL 281.6265 50.766317 \nL 283.688013 53.279529 \nL 285.571906 55.912693 \nL 287.275103 58.665181 \nL 288.795187 61.536169 \nL 290.130419 64.524611 \nL 291.279707 67.629224 \nL 292.2426 70.848458 \nL 293.019291 74.180498 \nL 293.610583 77.623262 \nL 294.017863 81.174359 \nL 294.243103 84.831098 \nL 294.288809 88.590466 \nL 294.098092 93.428881 \nL 293.638555 98.415154 \nL 292.918202 103.54118 \nL 291.946025 108.798024 \nL 290.731874 114.175874 \nL 289.28632 119.664064 \nL 287.262023 126.379259 \nL 284.940963 133.215201 \nL 282.344166 140.148676 \nL 279.493127 147.154833 \nL 276.409529 154.207271 \nL 272.546879 162.456396 \nL 268.430833 170.684136 \nL 264.094071 178.841976 \nL 259.567855 186.879691 \nL 254.881641 194.74582 \nL 250.062844 202.388132 \nL 245.136634 209.75419 \nL 240.846038 215.808559 \nL 236.506288 221.589402 \nL 232.129057 227.065264 \nL 227.724752 232.205787 \nL 223.302589 236.982026 \nL 219.609674 240.664252 \nL 215.91412 244.059814 \nL 212.219609 247.155075 \nL 208.529422 249.937558 \nL 204.846502 252.396041 \nL 201.907188 254.1229 \nL 198.97548 255.631685 \nL 196.052562 256.91864 \nL 193.139566 257.980639 \nL 190.237602 258.815186 \nL 187.347763 259.420481 \nL 184.47117 259.795393 \nL 181.608975 259.939451 \nL 178.762389 259.852903 \nL 175.932708 259.536652 \nL 173.121314 258.992302 \nL 170.329724 258.22212 \nL 167.559574 257.229028 \nL 164.812677 256.016621 \nL 162.091003 254.589098 \nL 159.396712 252.951266 \nL 156.73216 251.108502 \nL 153.447235 248.525975 \nL 150.218334 245.645325 \nL 147.051523 242.48044 \nL 143.953485 239.046328 \nL 140.931481 235.358886 \nL 137.993375 231.434897 \nL 135.14763 227.291805 \nL 132.40326 222.947647 \nL 129.769858 218.420903 \nL 127.257509 213.73038 \nL 124.417394 207.912316 \nL 121.785879 201.918711 \nL 119.766522 196.813611 \nL 117.917432 191.628158 \nL 116.250491 186.38079 \nL 114.777645 181.089549 \nL 113.510843 175.771972 \nL 112.461872 170.444996 \nL 111.642328 165.124907 \nL 111.063425 159.827259 \nL 110.735911 154.566822 \nL 110.669962 149.357532 \nL 110.87508 144.212454 \nL 111.240153 140.150832 \nL 111.788277 136.143916 \nL 112.523031 132.197139 \nL 113.447547 128.315547 \nL 114.564478 124.50381 \nL 115.875962 120.76622 \nL 117.383554 117.106707 \nL 119.088284 113.528837 \nL 120.990528 110.03582 \nL 123.090063 106.63053 \nL 125.386027 103.31552 \nL 127.876892 100.093031 \nL 130.560447 96.965012 \nL 133.433805 93.933137 \nL 136.493386 90.998825 \nL 139.734915 88.163261 \nL 143.153441 85.427418 \nL 146.743304 82.792075 \nL 151.461863 79.640141 \nL 156.424369 76.647067 \nL 161.615402 73.813442 \nL 167.018036 71.139656 \nL 172.613888 68.62593 \nL 178.383215 66.272397 \nL 184.305018 64.079172 \nL 190.357145 62.046388 \nL 197.759011 59.819157 \nL 205.273344 57.823913 \nL 212.856865 56.061639 \nL 220.465129 54.533726 \nL 228.052921 53.24206 \nL 235.574648 52.188978 \nL 242.984751 51.377351 \nL 250.238103 50.810543 \nL 257.290448 50.4923 \nL 264.098785 50.426749 \nL 270.621768 50.618265 \nL 275.811189 50.97751 \nL 280.753635 51.521098 \nL 285.428918 52.251624 \nL 289.818277 53.171621 \nL 293.904488 54.283434 \nL 296.94466 55.312463 \nL 299.773621 56.466616 \nL 302.384934 57.746717 \nL 304.772897 59.153456 \nL 306.93259 60.687338 \nL 308.859879 62.348655 \nL 310.551426 64.137532 \nL 312.004675 66.053808 \nL 313.217893 68.097113 \nL 314.190122 70.26679 \nL 314.921205 72.561919 \nL 315.411727 74.981277 \nL 315.663059 77.523368 \nL 315.677282 80.186346 \nL 315.457187 82.968071 \nL 315.006236 85.866069 \nL 314.328547 88.877532 \nL 313.428854 91.999321 \nL 312.000124 96.05137 \nL 310.244281 100.262798 \nL 308.17397 104.625248 \nL 305.802859 109.129542 \nL 302.58099 114.707835 \nL 298.973451 120.457278 \nL 295.007893 126.357622 \nL 290.712746 132.387146 \nL 285.323752 139.553985 \nL 279.571521 146.826366 \nL 273.501586 154.163408 \nL 266.232455 162.573006 \nL 258.670042 170.945412 \nL 250.87434 179.213011 \nL 242.90098 187.307224 \nL 235.818586 194.193425 \nL 228.66989 200.848701 \nL 221.482591 207.228407 \nL 214.281331 213.289267 \nL 208.114232 218.199109 \nL 201.964888 222.819587 \nL 195.843934 227.127512 \nL 189.760746 231.101422 \nL 184.72625 234.143699 \nL 179.72798 236.930211 \nL 174.769805 239.451854 \nL 169.855263 241.700658 \nL 164.98765 243.669883 \nL 160.170105 245.354066 \nL 155.405646 246.749018 \nL 150.697285 247.851914 \nL 146.04807 248.661274 \nL 142.373433 249.097299 \nL 138.740397 249.345936 \nL 135.150791 249.408325 \nL 131.606542 249.286159 \nL 128.109731 248.981678 \nL 124.662592 248.497654 \nL 121.26754 247.83739 \nL 117.927151 247.004668 \nL 113.832834 245.727835 \nL 109.834262 244.19769 \nL 105.937883 242.424666 \nL 102.150774 240.420203 \nL 98.480481 238.19662 \nL 94.935192 235.76706 \nL 91.523641 233.145355 \nL 88.255089 230.345949 \nL 85.139323 227.383764 \nL 82.186611 224.274112 \nL 79.407666 221.032583 \nL 76.813544 217.674933 \nL 74.415656 214.216981 \nL 72.225653 210.674492 \nL 70.255345 207.063077 \nL 68.516635 203.398094 \nL 67.021425 199.694557 \nL 65.781504 195.967047 \nL 64.808452 192.229615 \nL 64.113544 188.495727 \nL 63.76521 185.519784 \nL 63.607199 182.560531 \nL 63.644575 179.623864 \nL 63.882152 176.715358 \nL 64.324425 173.840244 \nL 64.975519 171.003396 \nL 65.839174 168.209326 \nL 66.918741 165.462182 \nL 68.217122 162.76574 \nL 69.736731 160.123405 \nL 71.479512 157.538211 \nL 73.44687 155.01283 \nL 75.639651 152.549575 \nL 78.0582 150.150411 \nL 80.702217 147.816963 \nL 83.570847 145.550531 \nL 86.662625 143.352109 \nL 89.975448 141.222394 \nL 94.423164 138.657495 \nL 99.205368 136.20088 \nL 104.313851 133.852279 \nL 109.738952 131.610944 \nL 115.469454 129.475722 \nL 121.492683 127.445141 \nL 129.087035 125.144128 \nL 137.055567 122.988029 \nL 145.368563 120.973422 \nL 153.993695 119.096937 \nL 164.404443 117.078105 \nL 175.133875 115.238742 \nL 186.119552 113.575658 \nL 197.295977 112.087038 \nL 210.215276 110.599166 \nL 223.190329 109.3414 \nL 236.114587 108.31938 \nL 248.88071 107.541945 \nL 261.381878 107.020952 \nL 272.020462 106.786853 \nL 282.307401 106.771457 \nL 292.176903 106.98703 \nL 300.256677 107.365431 \nL 307.946557 107.931358 \nL 315.211754 108.6931 \nL 322.020153 109.658686 \nL 327.323693 110.624534 \nL 332.274404 111.741235 \nL 336.858603 113.012396 \nL 341.064271 114.441128 \nL 344.149291 115.699278 \nL 346.980945 117.060892 \nL 349.555515 118.526666 \nL 351.869984 120.096979 \nL 353.922099 121.771872 \nL 355.710328 123.551031 \nL 357.23387 125.433769 \nL 358.492668 127.419008 \nL 359.487352 129.505261 \nL 360.219282 131.690642 \nL 360.690481 133.972839 \nL 360.903602 136.349113 \nL 360.86195 138.816297 \nL 360.5694 141.370797 \nL 360.0304 144.008587 \nL 359.249969 146.725221 \nL 358.233573 149.515836 \nL 356.987123 152.375161 \nL 355.115246 156.037274 \nL 352.907029 159.785969 \nL 350.376409 163.60847 \nL 347.537964 167.49118 \nL 344.406763 171.419752 \nL 340.99823 175.379156 \nL 336.563983 180.149107 \nL 331.780213 184.912988 \nL 326.674153 189.642027 \nL 321.272674 194.306881 \nL 315.602084 198.8779 \nL 309.687936 203.325375 \nL 303.554791 207.619843 \nL 297.226149 211.732342 \nL 291.81905 215.000062 \nL 286.303893 218.106083 \nL 280.692271 221.03528 \nL 274.995126 223.773249 \nL 269.222789 226.306431 \nL 263.384963 228.622189 \nL 257.490781 230.708905 \nL 251.548824 232.556071 \nL 245.567184 234.154361 \nL 239.553506 235.495709 \nL 233.515053 236.57333 \nL 227.458767 237.381831 \nL 221.391341 237.917228 \nL 215.319301 238.176951 \nL 209.249074 238.15993 \nL 203.187067 237.866484 \nL 197.139752 237.298445 \nL 191.113729 236.459081 \nL 185.115807 235.353068 \nL 179.153096 233.986472 \nL 173.233031 232.366733 \nL 167.363472 230.502502 \nL 161.552752 228.403707 \nL 155.80969 226.081387 \nL 150.143702 223.54766 \nL 144.564757 220.815611 \nL 139.083443 217.899198 \nL 133.710971 214.81316 \nL 128.459163 211.572906 \nL 122.333809 207.503548 \nL 116.422725 203.263579 \nL 110.749585 198.882075 \nL 105.339085 194.388506 \nL 100.216733 189.812435 \nL 95.408678 185.183234 \nL 90.941468 180.529832 \nL 87.49844 176.653901 \nL 84.326078 172.796627 \nL 81.439601 168.973298 \nL 78.853963 165.198577 \nL 76.58365 161.486408 \nL 74.642601 157.849952 \nL 73.044066 154.30152 \nL 72.02025 151.533849 \nL 71.229563 148.835234 \nL 70.677506 146.210673 \nL 70.369109 143.664755 \nL 70.308911 141.201643 \nL 70.500915 138.825074 \nL 70.948538 136.538353 \nL 71.654582 134.344362 \nL 72.621219 132.245545 \nL 73.850005 130.243927 \nL 75.341785 128.341123 \nL 77.096719 126.538327 \nL 79.114259 124.836353 \nL 81.393146 123.235625 \nL 83.931415 121.736205 \nL 86.726333 120.337811 \nL 89.77448 119.039832 \nL 93.071731 117.841353 \nL 97.536105 116.48134 \nL 102.371052 115.272037 \nL 107.563904 114.210018 \nL 113.100401 113.291399 \nL 120.175511 112.372332 \nL 127.692709 111.645743 \nL 135.619275 111.103381 \nL 143.919957 110.736839 \nL 154.026801 110.5203 \nL 164.528903 110.518906 \nL 175.360387 110.720672 \nL 188.054996 111.186276 \nL 200.986254 111.889513 \nL 214.048152 112.8196 \nL 227.13436 113.968993 \nL 240.139497 115.333452 \nL 252.960335 116.912008 \nL 263.948739 118.470458 \nL 274.655281 120.197517 \nL 285.018894 122.097647 \nL 294.982133 124.176335 \nL 303.162832 126.104841 \nL 310.979132 128.173117 \nL 318.402661 130.385187 \nL 324.270343 132.341164 \nL 329.834121 134.401606 \nL 335.082162 136.568189 \nL 340.00405 138.842215 \nL 344.590912 141.224538 \nL 348.835328 143.715485 \nL 351.980318 145.786294 \nL 354.900044 147.926027 \nL 357.592814 150.133956 \nL 360.057543 152.409046 \nL 362.293726 154.749937 \nL 364.301456 157.154931 \nL 366.081372 159.621981 \nL 367.634687 162.148681 \nL 368.963128 164.732254 \nL 370.068934 167.369554 \nL 370.954851 170.057061 \nL 371.624044 172.790875 \nL 372.080117 175.566725 \nL 372.32707 178.379972 \nL 372.369271 181.225612 \nL 372.21142 184.098294 \nL 371.858535 186.992326 \nL 371.315865 189.901684 \nL 370.379057 193.550266 \nL 369.165467 197.199893 \nL 367.68663 200.836928 \nL 365.954323 204.447164 \nL 363.980516 208.015907 \nL 361.777227 211.528043 \nL 359.356415 214.968163 \nL 356.729971 218.320642 \nL 353.909556 221.569729 \nL 350.906583 224.699683 \nL 347.732071 227.694843 \nL 344.39669 230.539768 \nL 340.910627 233.219328 \nL 337.283576 235.718831 \nL 333.524754 238.024109 \nL 329.642769 240.121629 \nL 325.645706 241.998594 \nL 321.541088 243.643077 \nL 317.335866 245.044024 \nL 313.036454 246.191446 \nL 309.533069 246.920794 \nL 305.975969 247.478109 \nL 302.367749 247.859848 \nL 298.710845 248.062966 \nL 295.007516 248.084972 \nL 291.259881 247.923894 \nL 287.469954 247.578304 \nL 283.639626 247.047344 \nL 278.79767 246.122575 \nL 273.898861 244.908388 \nL 268.946549 243.406768 \nL 263.944083 241.621088 \nL 258.894894 239.556025 \nL 253.802572 237.217547 \nL 248.670919 234.612854 \nL 243.504053 231.750359 \nL 238.306464 228.639591 \nL 232.035783 224.593949 \nL 225.7375 220.226287 \nL 219.422343 215.558661 \nL 213.102385 210.614768 \nL 206.791165 205.419737 \nL 199.459343 199.076686 \nL 192.186775 192.471242 \nL 185.003281 185.648267 \nL 177.941735 178.653478 \nL 171.037966 171.532976 \nL 164.330571 164.33279 \nL 157.860633 157.098436 \nL 151.671371 149.874513 \nL 145.807646 142.704306 \nL 140.315447 135.629436 \nL 135.241259 128.689527 \nL 131.259774 122.876824 \nL 127.648096 117.212791 \nL 124.434042 111.717989 \nL 122.078635 107.282009 \nL 120.03242 102.986898 \nL 118.309054 98.841974 \nL 116.921159 94.855714 \nL 116.060088 91.786108 \nL 115.426315 88.826474 \nL 115.024483 85.979986 \nL 114.858628 83.249483 \nL 114.932135 80.637453 \nL 115.247712 78.146048 \nL 115.807327 75.777088 \nL 116.612236 73.532083 \nL 117.662899 71.41222 \nL 118.959016 69.418402 \nL 120.499492 67.551222 \nL 122.282438 65.811017 \nL 124.305134 64.197875 \nL 126.564093 62.711638 \nL 129.054982 61.351923 \nL 131.772723 60.118156 \nL 134.711429 59.009566 \nL 137.864473 58.02525 \nL 142.095907 56.967962 \nL 146.634714 56.100835 \nL 151.463321 55.42131 \nL 156.562606 54.926677 \nL 161.912022 54.614137 \nL 167.489738 54.480839 \nL 174.451918 54.553484 \nL 181.668095 54.875419 \nL 189.094965 55.442166 \nL 196.687918 56.249595 \nL 204.401442 57.294043 \nL 212.18954 58.572301 \nL 220.006138 60.081715 \nL 227.805495 61.820122 \nL 235.542599 63.785902 \nL 243.173553 65.977887 \nL 250.655948 68.39528 \nL 256.74845 70.581606 \nL 262.687208 72.923954 \nL 268.451025 75.422209 \nL 274.019948 78.076211 \nL 279.37543 80.885748 \nL 284.500343 83.850457 \nL 289.379081 86.969757 \nL 293.997642 90.242799 \nL 297.496786 92.971124 \nL 300.815892 95.796278 \nL 303.950077 98.717261 \nL 306.895151 101.732851 \nL 309.647622 104.8416 \nL 312.204693 108.041785 \nL 314.56425 111.331419 \nL 316.724835 114.708211 \nL 318.685664 118.169561 \nL 320.446612 121.712542 \nL 322.008148 125.333882 \nL 323.371346 129.02996 \nL 324.537853 132.79679 \nL 325.509876 136.630015 \nL 326.290146 140.524903 \nL 326.881844 144.476344 \nL 327.288626 148.478852 \nL 327.514553 152.526561 \nL 327.549437 157.640222 \nL 327.318125 162.80175 \nL 326.830736 167.997295 \nL 326.09796 173.21218 \nL 325.131037 178.430955 \nL 323.941514 183.63745 \nL 322.541203 188.81484 \nL 320.942028 193.945728 \nL 319.155971 199.012234 \nL 317.194948 203.996066 \nL 315.070721 208.878645 \nL 312.794789 213.641197 \nL 310.378333 218.264872 \nL 307.832164 222.730856 \nL 305.166634 227.020507 \nL 302.391605 231.115458 \nL 299.516401 234.997754 \nL 296.549786 238.649985 \nL 293.499923 242.055422 \nL 290.374388 245.198115 \nL 287.180159 248.063001 \nL 283.923601 250.636088 \nL 281.277388 252.475752 \nL 278.597698 254.114363 \nL 275.887022 255.54643 \nL 273.147632 256.767019 \nL 270.381595 257.771801 \nL 267.590811 258.557065 \nL 264.777005 259.119711 \nL 261.941744 259.457313 \nL 259.086463 259.56809 \nL 256.212491 259.450928 \nL 253.321057 259.105391 \nL 250.413314 258.531737 \nL 247.490366 257.730887 \nL 244.553284 256.704435 \nL 241.603127 255.454631 \nL 238.640968 253.98436 \nL 235.667918 252.297175 \nL 231.938065 249.889515 \nL 228.195461 247.158812 \nL 224.442809 244.115818 \nL 220.683124 240.772549 \nL 216.919793 237.142246 \nL 213.156631 233.2392 \nL 208.647137 228.217062 \nL 204.152509 222.852207 \nL 199.682339 217.174145 \nL 195.247461 211.213599 \nL 190.134317 203.944835 \nL 185.107352 196.385963 \nL 180.190581 188.588837 \nL 175.410409 180.605308 \nL 170.795469 172.486678 \nL 166.376431 164.283207 \nL 162.185656 156.043661 \nL 158.256891 147.814908 \nL 154.624815 139.64157 \nL 151.774353 132.711931 \nL 149.189738 125.878854 \nL 146.8927 119.165631 \nL 144.904356 112.593892 \nL 143.497842 107.239948 \nL 142.330832 102.008719 \nL 141.41369 96.909973 \nL 140.75597 91.952624 \nL 140.366281 87.144739 \nL 140.25218 82.49358 \nL 140.36368 78.88984 \nL 140.65839 75.393471 \nL 141.138496 72.007092 \nL 141.805586 68.733023 \nL 142.660672 65.573282 \nL 143.704143 62.529633 \nL 144.935764 59.603544 \nL 146.354643 56.796257 \nL 147.959227 54.108762 \nL 149.747295 51.541839 \nL 151.715956 49.096055 \nL 153.861649 46.77179 \nL 156.180148 44.569276 \nL 158.666549 42.488573 \nL 161.315294 40.529612 \nL 164.120199 38.692232 \nL 167.074443 36.97615 \nL 170.965909 35.001088 \nL 175.063353 33.214195 \nL 179.349718 31.614577 \nL 183.80673 30.201284 \nL 188.414998 28.973389 \nL 193.154134 27.92996 \nL 198.002896 27.070201 \nL 202.939301 26.393404 \nL 207.940785 25.899001 \nL 213.996051 25.545928 \nL 220.071603 25.454606 \nL 226.126942 25.62509 \nL 232.121732 26.057794 \nL 237.042412 26.61928 \nL 241.870846 27.364091 \nL 246.585087 28.293022 \nL 251.163911 29.406988 \nL 255.586971 30.706978 \nL 259.834917 32.194049 \nL 263.889525 33.869252 \nL 267.733787 35.733571 \nL 271.352046 37.787928 \nL 274.074292 39.568763 \nL 276.636131 41.472022 \nL 279.031566 43.497916 \nL 281.255264 45.646543 \nL 283.302543 47.917858 \nL 285.169405 50.311667 \nL 286.852531 52.827598 \nL 288.349256 55.46512 \nL 289.657619 58.22347 \nL 290.776311 61.101684 \nL 291.704692 64.09854 \nL 292.442778 67.212584 \nL 292.991216 70.4421 \nL 293.351264 73.785085 \nL 293.524774 77.239264 \nL 293.514164 80.802038 \nL 293.246527 85.403773 \nL 292.702754 90.164288 \nL 291.890852 95.076424 \nL 290.819896 100.13221 \nL 289.499836 105.322861 \nL 287.941462 110.638747 \nL 285.773016 117.16834 \nL 283.298752 123.843531 \nL 280.540393 130.643002 \nL 277.520207 137.5438 \nL 273.695801 145.690005 \nL 269.581459 153.899224 \nL 265.212423 162.127479 \nL 260.622908 170.328562 \nL 255.84566 178.454377 \nL 250.911613 186.455318 \nL 245.849599 194.280704 \nL 240.68614 201.879258 \nL 235.445304 209.199634 \nL 230.148636 216.190967 \nL 225.578695 221.883872 \nL 220.992314 227.26801 \nL 216.39879 232.314192 \nL 211.806242 236.994672 \nL 207.984973 240.596921 \nL 204.172847 243.91317 \nL 200.373016 246.930536 \nL 196.588277 249.63731 \nL 192.821136 252.023078 \nL 189.073873 254.078781 \nL 186.091803 255.480516 \nL 183.124842 256.662866 \nL 180.174017 257.623236 \nL 177.240347 258.359686 \nL 174.324886 258.870933 \nL 171.428733 259.156348 \nL 168.553063 259.215983 \nL 165.699125 259.050529 \nL 162.868301 258.66136 \nL 160.062093 258.05053 \nL 157.282153 257.220695 \nL 154.530288 256.175176 \nL 151.808505 254.917914 \nL 149.118999 253.453444 \nL 146.46416 251.786867 \nL 143.846622 249.92384 \nL 140.631505 247.328242 \nL 137.485228 244.448496 \nL 134.414482 241.29878 \nL 131.426561 237.8943 \nL 128.529353 234.251084 \nL 125.73136 230.385906 \nL 123.041654 226.316172 \nL 120.469844 222.059784 \nL 118.026085 217.634984 \nL 115.720969 213.060277 \nL 113.565518 208.354274 \nL 111.571108 203.53559 \nL 109.749379 198.62271 \nL 108.112188 193.633901 \nL 106.671482 188.587097 \nL 105.43922 183.499808 \nL 104.427283 178.389014 \nL 103.647333 173.2711 \nL 103.110745 168.161771 \nL 102.828428 163.075999 \nL 102.810809 158.027964 \nL 102.993849 154.025703 \nL 103.357161 150.062579 \nL 103.905022 146.144658 \nL 104.641308 142.277631 \nL 105.569483 138.466812 \nL 106.692519 134.717142 \nL 108.012899 131.033183 \nL 109.532599 127.419125 \nL 111.253004 123.878792 \nL 113.17496 120.415647 \nL 115.29866 117.03281 \nL 117.623705 113.733061 \nL 120.148996 110.518861 \nL 122.872803 107.39237 \nL 125.792718 104.355442 \nL 128.905642 101.409676 \nL 132.20778 98.556417 \nL 135.69465 95.796783 \nL 139.361078 93.13168 \nL 144.187616 89.934324 \nL 149.272552 86.886862 \nL 154.601313 83.990029 \nL 160.157763 81.24432 \nL 165.924269 78.650037 \nL 171.881764 76.207375 \nL 178.009839 73.91647 \nL 184.286847 71.777479 \nL 191.983698 69.411539 \nL 199.820906 67.265285 \nL 207.755444 65.339675 \nL 215.742873 63.636115 \nL 223.737702 62.156502 \nL 231.693775 60.903269 \nL 239.56467 59.879403 \nL 247.304105 59.088445 \nL 254.866349 58.534425 \nL 262.206628 58.221823 \nL 269.281546 58.155475 \nL 276.049453 58.340456 \nL 281.426287 58.690349 \nL 286.540899 59.221433 \nL 291.373079 59.936665 \nL 295.904094 60.838861 \nL 300.116776 61.930651 \nL 303.247263 62.942217 \nL 306.156967 64.07772 \nL 308.839522 65.338081 \nL 311.289341 66.724035 \nL 313.501605 68.236123 \nL 315.472325 69.874681 \nL 317.198286 71.639779 \nL 318.6771 73.531251 \nL 319.907212 75.54867 \nL 320.887821 77.691292 \nL 321.618962 79.958091 \nL 322.101412 82.347721 \nL 322.336725 84.858524 \nL 322.32719 87.488487 \nL 322.075823 90.235276 \nL 321.586296 93.096195 \nL 320.862942 96.068201 \nL 319.910688 99.147898 \nL 318.406949 103.143217 \nL 316.566114 107.292817 \nL 314.401242 111.587746 \nL 311.926418 116.018209 \nL 309.156574 120.573597 \nL 305.465438 126.18887 \nL 301.400186 131.946464 \nL 296.98976 137.82379 \nL 291.447237 144.799989 \nL 285.521781 151.86642 \nL 279.259785 158.981025 \nL 272.706577 166.100133 \nL 265.905839 173.178838 \nL 258.899173 180.171399 \nL 251.725707 187.031673 \nL 244.421809 193.713559 \nL 237.020924 200.171466 \nL 229.553454 206.36081 \nL 223.120579 211.419488 \nL 216.674402 216.223153 \nL 210.228852 220.747103 \nL 203.796409 224.968147 \nL 197.38821 228.864812 \nL 192.073763 231.850102 \nL 186.788257 234.586357 \nL 181.536446 237.064465 \nL 176.322703 239.276517 \nL 171.151121 241.215783 \nL 166.025559 242.876817 \nL 160.949735 244.255466 \nL 155.927324 245.348903 \nL 150.961972 246.15566 \nL 146.057423 246.675656 \nL 142.180172 246.885982 \nL 138.346426 246.914834 \nL 134.558385 246.764037 \nL 130.818382 246.435965 \nL 126.21473 245.781032 \nL 121.695251 244.860442 \nL 117.265618 243.682175 \nL 112.931963 242.25536 \nL 108.700981 240.590199 \nL 104.579852 238.697878 \nL 100.576364 236.590492 \nL 96.698804 234.280946 \nL 92.956057 231.782886 \nL 89.357522 229.110561 \nL 85.913122 226.278743 \nL 82.633262 223.302575 \nL 79.52877 220.197528 \nL 76.610885 216.979241 \nL 73.891154 213.663448 \nL 71.381412 210.265826 \nL 69.093663 206.801937 \nL 67.039982 203.287104 \nL 65.232488 199.736321 \nL 63.683243 196.164152 \nL 62.40407 192.584654 \nL 61.406516 189.011288 \nL 60.818775 186.165646 \nL 60.423907 183.338369 \nL 60.227192 180.535365 \nL 60.233584 177.762217 \nL 60.44778 175.024153 \nL 60.874091 172.326053 \nL 61.516496 169.672422 \nL 62.378527 167.067394 \nL 63.463308 164.514728 \nL 64.773511 162.017797 \nL 66.3113 159.579601 \nL 68.078296 157.202757 \nL 70.075667 154.889519 \nL 72.303961 152.641771 \nL 74.76319 150.461048 \nL 77.452771 148.348545 \nL 80.371514 146.305128 \nL 83.517635 144.331356 \nL 87.766339 141.962458 \nL 92.360496 139.702705 \nL 97.292559 137.551429 \nL 102.553497 135.507438 \nL 108.132802 133.569084 \nL 114.018492 131.734354 \nL 121.466843 129.666196 \nL 129.311344 127.739556 \nL 137.523577 125.949833 \nL 146.072561 124.292399 \nL 156.427353 122.520001 \nL 167.138288 120.915162 \nL 178.145066 119.47245 \nL 191.005024 118.016964 \nL 204.069725 116.764386 \nL 217.237079 115.714286 \nL 230.402773 114.869591 \nL 243.461438 114.236665 \nL 256.30785 113.825215 \nL 268.838159 113.648072 \nL 279.463205 113.69743 \nL 289.703233 113.949838 \nL 299.495718 114.418037 \nL 307.488192 115.001166 \nL 315.073603 115.761052 \nL 322.219623 116.706001 \nL 328.896662 117.843986 \nL 334.083236 118.945108 \nL 338.911724 120.189276 \nL 343.369913 121.579884 \nL 347.447205 123.119768 \nL 350.428752 124.460655 \nL 353.157012 125.899304 \nL 355.628898 127.436208 \nL 357.842054 129.071523 \nL 359.794834 130.80505 \nL 361.486289 132.63622 \nL 362.916157 134.564076 \nL 364.084893 136.58726 \nL 364.993597 138.704004 \nL 365.644017 140.912123 \nL 366.038588 143.208998 \nL 366.180273 145.591586 \nL 366.072683 148.056417 \nL 365.719935 150.599584 \nL 365.126683 153.216761 \nL 364.29806 155.903203 \nL 363.239646 158.653754 \nL 361.957409 161.462865 \nL 360.049562 165.047523 \nL 357.815037 168.701987 \nL 355.267564 172.413024 \nL 352.421435 176.166634 \nL 349.291343 179.948118 \nL 345.892255 183.742161 \nL 342.239296 187.532913 \nL 337.542008 192.054522 \nL 332.527086 196.519177 \nL 327.220208 200.897679 \nL 321.646471 205.160651 \nL 315.83016 209.278831 \nL 310.814797 212.57918 \nL 305.660134 215.74253 \nL 300.378536 218.752948 \nL 294.981784 221.595035 \nL 289.481074 224.254058 \nL 283.886962 226.716035 \nL 278.209432 228.96785 \nL 272.457886 230.997366 \nL 266.641181 232.793469 \nL 260.767654 234.346178 \nL 254.845168 235.646727 \nL 248.881188 236.687623 \nL 242.882815 237.462703 \nL 236.856867 237.967183 \nL 230.809946 238.197683 \nL 224.748507 238.15227 \nL 218.67894 237.830485 \nL 212.607643 237.233292 \nL 206.541103 236.363128 \nL 200.485972 235.223853 \nL 194.449143 233.820744 \nL 188.437817 232.160454 \nL 182.459581 230.250926 \nL 176.522452 228.101369 \nL 170.634956 225.722181 \nL 164.80616 223.124878 \nL 159.045719 220.322014 \nL 153.363896 217.327058 \nL 147.771596 214.154326 \nL 142.280375 210.818895 \nL 135.841577 206.623749 \nL 129.58823 202.245061 \nL 123.543883 197.711778 \nL 117.733249 193.053388 \nL 112.182002 188.29965 \nL 106.916742 183.48031 \nL 101.964636 178.624854 \nL 97.353283 173.762237 \nL 93.110456 168.920631 \nL 89.876147 164.921639 \nL 86.932628 160.9712 \nL 84.295253 157.083717 \nL 81.978921 153.272843 \nL 79.997865 149.551419 \nL 78.36559 145.931413 \nL 77.319364 143.115881 \nL 76.510418 140.377552 \nL 75.944252 137.721229 \nL 75.625885 135.1513 \nL 75.559788 132.67173 \nL 75.749836 130.286055 \nL 76.199334 127.997382 \nL 76.910901 125.808399 \nL 77.886536 123.721362 \nL 79.127521 121.738113 \nL 80.634439 119.860087 \nL 82.40713 118.088318 \nL 84.444712 116.423456 \nL 86.745541 114.865779 \nL 89.307249 113.415208 \nL 92.126714 112.071341 \nL 95.200039 110.833451 \nL 98.52258 109.70053 \nL 103.018042 108.430029 \nL 107.882488 107.318512 \nL 113.102254 106.362455 \nL 118.661996 105.557912 \nL 125.758612 104.786415 \nL 133.288616 104.219044 \nL 141.217411 103.847631 \nL 149.507917 103.663891 \nL 159.584885 103.675833 \nL 170.035204 103.919633 \nL 180.790608 104.383727 \nL 191.780756 105.057727 \nL 204.536345 106.07368 \nL 217.396853 107.341551 \nL 230.254518 108.853687 \nL 241.419093 110.373528 \nL 252.430733 112.075693 \nL 263.222301 113.960634 \nL 273.72953 116.030238 \nL 282.463189 117.953468 \nL 290.907139 120.01707 \nL 299.02768 122.223818 \nL 306.793627 124.576609 \nL 314.176504 127.078293 \nL 320.017706 129.278667 \nL 325.561761 131.585545 \nL 330.796882 133.999921 \nL 335.71279 136.522411 \nL 340.300727 139.153194 \nL 344.553467 141.89193 \nL 347.710428 144.16004 \nL 350.646973 146.495885 \nL 353.361512 148.898408 \nL 355.853064 151.366248 \nL 358.121227 153.897725 \nL 360.166196 156.49083 \nL 361.988725 159.143208 \nL 363.59013 161.852152 \nL 364.97225 164.614594 \nL 366.137397 167.427102 \nL 367.088381 170.285878 \nL 367.828463 173.186757 \nL 368.3613 176.125206 \nL 368.690929 179.096336 \nL 368.821786 182.094907 \nL 368.758593 185.115334 \nL 368.506346 188.151707 \nL 368.070317 191.197796 \nL 367.275206 195.0091 \nL 366.212629 198.812021 \nL 364.893976 202.592586 \nL 363.330931 206.336298 \nL 361.535271 210.028194 \nL 359.518817 213.652945 \nL 357.293359 217.194938 \nL 354.870488 220.638393 \nL 352.261629 223.967444 \nL 349.477825 227.166256 \nL 346.529823 230.219134 \nL 343.427938 233.110631 \nL 340.181979 235.82565 \nL 336.801275 238.349587 \nL 333.294608 240.668378 \nL 329.67021 242.76867 \nL 325.935729 244.637851 \nL 322.098222 246.264232 \nL 318.164203 247.637036 \nL 314.951527 248.546148 \nL 311.683684 249.28228 \nL 308.363286 249.841463 \nL 304.992724 250.220218 \nL 301.574215 250.415595 \nL 298.109795 250.425177 \nL 294.601356 250.247069 \nL 291.050653 249.87996 \nL 287.459332 249.323079 \nL 283.828943 248.576223 \nL 279.238262 247.376117 \nL 274.591637 245.881732 \nL 269.891788 244.096362 \nL 265.141495 242.024657 \nL 260.343621 239.672523 \nL 255.501205 237.047125 \nL 250.617539 234.156823 \nL 245.696232 231.011119 \nL 239.746659 226.914095 \nL 233.756511 222.484691 \nL 227.734735 217.744885 \nL 221.691544 212.718314 \nL 214.629658 206.525077 \nL 207.575515 200.017565 \nL 200.553097 193.239414 \nL 193.58944 186.235501 \nL 185.741708 178.013233 \nL 178.059969 169.624475 \nL 170.598915 161.137612 \nL 163.417631 152.619934 \nL 156.578944 144.136874 \nL 150.927688 136.792118 \nL 145.63413 129.562261 \nL 140.743902 122.485359 \nL 136.907686 116.568298 \nL 133.429186 110.810834 \nL 130.335527 105.232448 \nL 128.070228 100.733569 \nL 126.104413 96.38105 \nL 124.451352 92.183624 \nL 123.123249 88.14922 \nL 122.302201 85.043894 \nL 121.701254 82.050745 \nL 121.324879 79.172721 \nL 121.176923 76.412431 \nL 121.260594 73.772182 \nL 121.578401 71.253958 \nL 122.132161 68.859422 \nL 122.922945 66.58994 \nL 123.951083 64.4466 \nL 125.21613 62.430217 \nL 126.716851 60.541323 \nL 128.451239 58.780209 \nL 130.416476 57.146947 \nL 132.608972 55.641377 \nL 135.02433 54.263128 \nL 137.657406 53.011684 \nL 140.502277 51.886348 \nL 143.552277 50.886269 \nL 147.641923 49.810853 \nL 152.024559 48.927546 \nL 156.682652 48.234055 \nL 161.597171 47.72798 \nL 166.747707 47.406797 \nL 172.11261 47.268018 \nL 178.801346 47.338793 \nL 185.724815 47.664573 \nL 192.840282 48.241494 \nL 200.10379 49.066096 \nL 207.470582 50.135304 \nL 214.895506 51.446506 \nL 222.333424 52.997586 \nL 229.739622 54.786879 \nL 237.07021 56.813162 \nL 244.2825 59.07564 \nL 250.172649 61.141075 \nL 255.929257 63.369997 \nL 261.530574 65.762301 \nL 266.956021 68.317889 \nL 272.186288 71.036609 \nL 277.203446 73.918224 \nL 281.991024 76.962299 \nL 286.534067 80.168178 \nL 289.983401 82.848752 \nL 293.261557 85.631611 \nL 296.363128 88.515922 \nL 299.283391 91.50065 \nL 302.018306 94.58454 \nL 304.564549 97.766106 \nL 306.919442 101.043594 \nL 309.081015 104.414966 \nL 311.047962 107.877904 \nL 312.819617 111.429763 \nL 314.395971 115.067572 \nL 315.7776 118.788028 \nL 316.965717 122.587465 \nL 317.96207 126.461857 \nL 318.768957 130.406813 \nL 319.38917 134.417555 \nL 319.826 138.488934 \nL 320.083174 142.615418 \nL 320.158304 147.841973 \nL 319.96805 153.132999 \nL 319.52205 158.475228 \nL 318.830607 163.854528 \nL 317.904593 169.255934 \nL 316.755294 174.663705 \nL 315.394302 180.061366 \nL 313.833452 185.431791 \nL 312.084658 190.757267 \nL 309.754754 197.062836 \nL 307.191697 203.245212 \nL 304.415422 209.271578 \nL 301.445228 215.108798 \nL 298.299644 220.723692 \nL 294.996242 226.083357 \nL 292.134804 230.331434 \nL 289.184242 234.361543 \nL 286.15293 238.156016 \nL 283.048678 241.697833 \nL 279.878694 244.970821 \nL 276.6496 247.959724 \nL 273.36743 250.650354 \nL 270.707171 252.579295 \nL 268.019008 254.302886 \nL 265.30528 255.815576 \nL 262.568139 257.112397 \nL 259.809549 258.189008 \nL 257.031301 259.041656 \nL 254.235046 259.667284 \nL 251.422295 260.063459 \nL 248.594437 260.228443 \nL 245.752777 260.161183 \nL 242.898533 259.861298 \nL 240.03288 259.329116 \nL 237.156949 258.565655 \nL 234.271862 257.572616 \nL 231.378751 256.352381 \nL 228.478774 254.90796 \nL 225.573146 253.24303 \nL 222.663153 251.361902 \nL 219.021635 248.713966 \nL 215.378408 245.746751 \nL 211.736753 242.472398 \nL 208.100343 238.904271 \nL 204.473289 235.056841 \nL 200.139682 230.093124 \nL 195.835141 224.778031 \nL 191.569778 219.141515 \nL 187.354938 213.214812 \nL 183.203225 207.030103 \nL 178.457945 199.532336 \nL 173.841747 191.780806 \nL 169.381089 183.828271 \nL 165.104484 175.726982 \nL 161.042301 167.528171 \nL 157.226397 159.281545 \nL 154.176637 152.211233 \nL 151.353279 145.169693 \nL 148.777657 138.184296 \nL 146.471025 131.280894 \nL 144.454257 124.483731 \nL 143.009652 118.916902 \nL 141.791603 113.451663 \nL 140.810754 108.099277 \nL 140.077058 102.870143 \nL 139.599645 97.773775 \nL 139.386741 92.818839 \nL 139.445543 88.013146 \nL 139.692319 84.280757 \nL 140.119425 80.651542 \nL 140.728878 77.128381 \nL 141.52212 73.713814 \nL 142.500019 70.410095 \nL 143.662833 67.2192 \nL 145.01019 64.142783 \nL 146.54109 61.18229 \nL 148.253875 58.338897 \nL 150.146234 55.613543 \nL 152.215191 53.006964 \nL 154.457096 50.519708 \nL 156.867647 48.15213 \nL 159.441874 45.904451 \nL 162.174182 43.77675 \nL 165.05831 41.768958 \nL 168.866473 39.427628 \nL 172.886421 37.272971 \nL 177.10207 35.304374 \nL 181.496063 33.521129 \nL 186.049839 31.922485 \nL 190.743756 30.507705 \nL 195.557218 29.27609 \nL 200.468783 28.22702 \nL 205.456314 27.360008 \nL 210.497115 26.674691 \nL 216.583835 26.09188 \nL 222.673579 25.770449 \nL 228.725797 25.710814 \nL 234.700167 25.913754 \nL 239.590664 26.284291 \nL 244.377039 26.838825 \nL 249.037447 27.578339 \nL 253.550809 28.50395 \nL 257.896955 29.616826 \nL 262.056737 30.91819 \nL 266.012176 32.409245 \nL 269.746536 34.091188 \nL 272.564475 35.574893 \nL 275.22386 37.181941 \nL 277.718098 38.912733 \nL 280.041239 40.767585 \nL 282.188001 42.746703 \nL 284.153758 44.850165 \nL 285.934555 47.077892 \nL 287.52715 49.429663 \nL 288.928965 51.90506 \nL 290.138125 54.503475 \nL 291.153435 57.224073 \nL 291.974369 60.065818 \nL 292.60107 63.027428 \nL 293.034321 66.10736 \nL 293.275517 69.303808 \nL 293.326694 72.614673 \nL 293.190423 76.037582 \nL 292.761328 80.469688 \nL 292.051557 85.066791 \nL 291.069547 89.822223 \nL 289.824772 94.728536 \nL 288.327647 99.777503 \nL 286.213871 106.011778 \nL 283.77365 112.421265 \nL 281.028846 118.987171 \nL 278.002142 125.689065 \nL 274.145671 133.650365 \nL 269.974333 141.72917 \nL 265.525176 149.885252 \nL 260.146815 159.246272 \nL 254.505309 168.585257 \nL 248.650081 177.831943 \nL 242.627038 186.913636 \nL 236.478068 195.756062 \nL 231.024068 203.237976 \nL 225.524838 210.429225 \nL 220.000096 217.28045 \nL 215.257365 222.845814 \nL 210.517901 228.096817 \nL 205.789837 233.005557 \nL 201.080179 237.54569 \nL 197.173875 241.029802 \nL 193.287535 244.227773 \nL 189.423794 247.127596 \nL 185.584988 249.718482 \nL 181.77322 251.990905 \nL 177.990433 253.936707 \nL 174.986299 255.253603 \nL 172.002808 256.354347 \nL 169.040886 257.236794 \nL 166.101512 257.899432 \nL 163.18569 258.34139 \nL 160.294525 258.562441 \nL 157.429194 258.563016 \nL 154.591012 258.34418 \nL 151.781413 257.90765 \nL 149.002005 257.255808 \nL 146.254537 256.391603 \nL 143.540963 255.318623 \nL 140.863428 254.041055 \nL 138.224304 252.563646 \nL 135.626163 250.891684 \nL 133.07183 249.030969 \nL 129.945191 246.449293 \nL 126.898313 243.595866 \nL 123.938295 240.484983 \nL 121.072872 237.131867 \nL 118.310369 233.552493 \nL 115.659662 229.763519 \nL 113.130254 225.782153 \nL 110.732092 221.626021 \nL 108.475649 217.313035 \nL 106.371808 212.8613 \nL 104.431822 208.288963 \nL 102.667204 203.614123 \nL 101.089684 198.854706 \nL 99.711153 194.028357 \nL 98.543469 189.152342 \nL 97.598441 184.243461 \nL 96.887709 179.317961 \nL 96.422616 174.391455 \nL 96.214091 169.47886 \nL 96.272573 164.594334 \nL 96.5182 160.715924 \nL 96.945654 156.870486 \nL 97.55927 153.064112 \nL 98.362979 149.302527 \nL 99.360304 145.591089 \nL 100.554331 141.934781 \nL 101.947634 138.338216 \nL 103.542293 134.805637 \nL 105.339828 131.340925 \nL 107.341201 127.947597 \nL 109.546754 124.628827 \nL 111.956213 121.387452 \nL 114.568685 118.225982 \nL 117.382628 115.146621 \nL 120.395789 112.151278 \nL 123.60527 109.241599 \nL 127.007469 106.41896 \nL 130.598109 103.68452 \nL 134.372213 101.03921 \nL 139.339149 97.859048 \nL 144.571331 94.820428 \nL 150.054594 91.924131 \nL 155.773188 89.170673 \nL 161.709872 86.560388 \nL 167.845933 84.093478 \nL 174.161295 81.770104 \nL 181.94627 79.171756 \nL 189.91955 76.78079 \nL 198.039909 74.597899 \nL 206.264295 72.624184 \nL 214.548172 70.861202 \nL 222.845873 69.311078 \nL 231.110974 67.976505 \nL 239.296688 66.860778 \nL 247.356259 65.967774 \nL 255.243381 65.301922 \nL 262.91258 64.868155 \nL 270.319648 64.671786 \nL 277.42201 64.71843 \nL 284.179112 65.013887 \nL 289.518696 65.454349 \nL 294.571349 66.07493 \nL 299.317875 66.878808 \nL 303.740643 67.868943 \nL 307.823697 69.048051 \nL 310.835944 70.128993 \nL 313.61522 71.33343 \nL 316.155879 72.662202 \nL 318.45306 74.115912 \nL 320.502717 75.694977 \nL 322.30159 77.399537 \nL 323.847267 79.229465 \nL 325.138126 81.184348 \nL 326.173353 83.26347 \nL 326.95296 85.465799 \nL 327.477703 87.78997 \nL 327.749135 90.234275 \nL 327.769544 92.796664 \nL 327.541936 95.474736 \nL 327.070017 98.265712 \nL 326.358119 101.16645 \nL 325.411216 104.17345 \nL 324.234853 107.28285 \nL 322.451015 111.307096 \nL 320.331111 115.475622 \nL 317.889124 119.778497 \nL 315.139963 124.204959 \nL 311.457608 129.66351 \nL 307.383735 135.261887 \nL 302.947475 140.977154 \nL 298.178482 146.785025 \nL 292.23395 153.643827 \nL 285.924334 160.551605 \nL 279.295915 167.464449 \nL 272.393504 174.337242 \nL 265.259964 181.124087 \nL 257.935829 187.778759 \nL 250.458973 194.255163 \nL 242.864404 200.507845 \nL 236.285435 205.65555 \nL 229.661949 210.579265 \nL 223.01073 215.253077 \nL 216.347008 219.652412 \nL 209.684535 223.754257 \nL 204.142401 226.929806 \nL 198.616261 229.872694 \nL 193.11208 232.572649 \nL 187.635348 235.020541 \nL 182.191156 237.208372 \nL 176.784249 239.129342 \nL 171.419123 240.777925 \nL 166.100088 242.149896 \nL 160.831347 243.242368 \nL 155.617081 244.053783 \nL 150.461508 244.583972 \nL 145.368969 244.834123 \nL 140.343991 244.806758 \nL 135.39133 244.505758 \nL 130.516091 243.936293 \nL 125.723728 243.104811 \nL 121.020106 242.018954 \nL 116.411543 240.687542 \nL 111.904865 239.120451 \nL 107.507399 237.328599 \nL 103.227024 235.323799 \nL 99.072156 233.118717 \nL 95.051745 230.726776 \nL 91.175284 228.162014 \nL 87.452763 225.439003 \nL 83.894679 222.572771 \nL 80.511952 219.578647 \nL 77.315923 216.472183 \nL 74.318254 213.269023 \nL 71.530894 209.984822 \nL 68.965973 206.635115 \nL 66.635749 203.235227 \nL 64.552535 199.800172 \nL 62.72852 196.344567 \nL 61.175799 192.882528 \nL 59.906162 189.42761 \nL 58.931041 185.992701 \nL 58.370374 183.267396 \nL 58.010572 180.568597 \nL 57.856711 177.901846 \nL 57.913558 175.272348 \nL 58.185539 172.684937 \nL 58.676701 170.144081 \nL 59.390703 167.653862 \nL 60.330769 165.217984 \nL 61.499666 162.83976 \nL 62.899668 160.522117 \nL 64.532527 158.267601 \nL 66.399464 156.078373 \nL 68.501189 153.956227 \nL 70.837804 151.902589 \nL 73.408876 149.918538 \nL 76.213306 148.004813 \nL 79.24946 146.161833 \nL 83.367021 143.957741 \nL 87.837296 141.863955 \nL 92.653057 139.879453 \nL 97.805571 138.002657 \nL 103.284638 136.231515 \nL 109.078653 134.563562 \nL 116.428797 132.694299 \nL 124.188598 130.964375 \nL 132.330365 129.36827 \nL 142.271406 127.667812 \nL 152.639118 126.133228 \nL 163.377596 124.756515 \nL 176.027803 123.367539 \nL 188.991172 122.167455 \nL 203.827693 121.036575 \nL 218.793467 120.13534 \nL 233.741876 119.466705 \nL 248.525221 119.039396 \nL 261.408721 118.873606 \nL 273.944721 118.923128 \nL 286.03517 119.20407 \nL 296.174954 119.654012 \nL 305.842196 120.308172 \nL 313.70989 121.041663 \nL 321.156658 121.943626 \nL 328.152373 123.022334 \nL 333.61772 124.061935 \nL 338.736425 125.233895 \nL 343.495682 126.541978 \nL 347.884206 127.989449 \nL 351.892337 129.578995 \nL 354.819483 130.954302 \nL 357.494635 132.422545 \nL 359.915115 133.984101 \nL 362.078936 135.639008 \nL 363.984793 137.386937 \nL 365.632069 139.227188 \nL 367.020809 141.158661 \nL 368.151701 143.179857 \nL 369.026081 145.288861 \nL 369.645939 147.483336 \nL 370.013824 149.760519 \nL 370.132893 152.117219 \nL 370.006827 154.549817 \nL 369.639845 157.054267 \nL 369.0366 159.626107 \nL 368.20226 162.26046 \nL 367.142394 164.952049 \nL 365.8629 167.695207 \nL 363.964258 171.187442 \nL 361.745156 174.738222 \nL 359.219076 178.334177 \nL 356.399965 181.961195 \nL 353.302115 185.604508 \nL 349.940094 189.248771 \nL 346.328536 192.878162 \nL 342.482121 196.476461 \nL 337.576915 200.730135 \nL 332.379296 204.886435 \nL 326.913469 208.916416 \nL 322.170664 212.157475 \nL 317.270935 215.274411 \nL 312.226885 218.251137 \nL 307.050516 221.072014 \nL 301.753282 223.72196 \nL 296.346092 226.186563 \nL 290.839241 228.452175 \nL 285.242466 230.506045 \nL 279.564941 232.336331 \nL 273.815305 233.93231 \nL 268.001721 235.284338 \nL 262.131893 236.384019 \nL 256.213134 237.224206 \nL 250.252429 237.799109 \nL 244.256483 238.104289 \nL 238.231796 238.136693 \nL 232.184748 237.894743 \nL 226.121661 237.37828 \nL 220.048887 236.588588 \nL 213.972875 235.528396 \nL 207.900256 234.201855 \nL 201.837911 232.614493 \nL 195.79305 230.773198 \nL 189.773275 228.686119 \nL 183.786644 226.362674 \nL 177.841729 223.813441 \nL 171.947661 221.050078 \nL 166.11418 218.085259 \nL 160.35167 214.932572 \nL 154.671149 211.606426 \nL 147.97927 207.407441 \nL 141.443852 203.007822 \nL 135.087724 198.435892 \nL 128.935027 193.720745 \nL 123.01108 188.891941 \nL 117.342234 183.979247 \nL 111.955744 179.012378 \nL 106.879458 174.020732 \nL 102.141673 169.033136 \nL 97.770813 164.0776 \nL 93.795108 159.181104 \nL 90.803956 155.164398 \nL 88.122174 151.220721 \nL 85.764863 147.363443 \nL 83.746489 143.605105 \nL 82.080668 139.957366 \nL 81.010431 137.126049 \nL 80.179956 134.377449 \nL 79.594765 131.716204 \nL 79.259842 129.146542 \nL 79.179601 126.672271 \nL 79.357884 124.296767 \nL 79.797859 122.022988 \nL 80.50205 119.853474 \nL 81.472289 117.790337 \nL 82.709684 115.835288 \nL 84.214647 113.989627 \nL 85.986811 112.254267 \nL 88.025034 110.629745 \nL 90.327452 109.116236 \nL 92.891412 107.713566 \nL 95.713507 106.421245 \nL 98.789553 105.238478 \nL 102.11461 104.164192 \nL 106.612393 102.971812 \nL 111.477685 101.943722 \nL 116.696124 101.076329 \nL 122.25171 100.365645 \nL 129.338653 99.713599 \nL 136.852748 99.273146 \nL 144.75827 99.036155 \nL 153.017031 98.994427 \nL 163.044858 99.181789 \nL 173.431566 99.611686 \nL 184.107518 100.272756 \nL 195.001205 101.154836 \nL 206.039992 102.249199 \nL 217.150851 103.548703 \nL 228.261074 105.047897 \nL 239.298986 106.743061 \nL 250.194616 108.632115 \nL 260.880331 110.71454 \nL 271.291465 112.991164 \nL 279.950268 115.098598 \nL 288.326155 117.351861 \nL 296.385343 119.752965 \nL 304.09662 122.304041 \nL 310.236317 124.545983 \nL 316.099694 126.894566 \nL 321.67326 129.350649 \nL 326.94506 131.914814 \nL 331.904587 134.587285 \nL 336.542945 137.367855 \nL 340.852727 140.255816 \nL 344.060018 142.642669 \nL 347.050975 145.096502 \nL 349.823929 147.616092 \nL 352.377851 150.19992 \nL 354.71226 152.846157 \nL 356.827327 155.552648 \nL 358.723729 158.3169 \nL 360.402744 161.136075 \nL 361.866135 164.006981 \nL 363.116152 166.926068 \nL 364.155575 169.889424 \nL 364.987571 172.892777 \nL 365.615764 175.931498 \nL 366.044145 179.000602 \nL 366.277057 182.094752 \nL 366.319156 185.208289 \nL 366.17539 188.335217 \nL 365.742276 192.253078 \nL 365.037513 196.169044 \nL 364.072133 200.069508 \nL 362.857491 203.940283 \nL 361.405111 207.766659 \nL 359.726656 211.533507 \nL 357.833799 215.225341 \nL 355.738134 218.826434 \nL 353.451049 222.320916 \nL 350.983736 225.692864 \nL 348.347024 228.926422 \nL 345.551409 232.005903 \nL 342.606918 234.915891 \nL 339.523132 237.641369 \nL 336.309049 240.167829 \nL 332.973177 242.481343 \nL 329.523415 244.568723 \nL 325.967115 246.417571 \nL 322.311034 248.016393 \nL 319.318499 249.108343 \nL 316.268968 250.028658 \nL 313.165139 250.772901 \nL 310.009465 251.337177 \nL 306.804226 251.718013 \nL 303.551492 251.912522 \nL 300.253167 251.918331 \nL 296.910994 251.733625 \nL 293.526586 251.357129 \nL 290.101418 250.788133 \nL 286.636855 250.026506 \nL 282.252755 248.804296 \nL 277.81155 247.283866 \nL 273.31559 245.468652 \nL 268.767214 243.36341 \nL 264.168824 240.974188 \nL 259.522987 238.308248 \nL 254.83248 235.374083 \nL 250.100375 232.181319 \nL 244.371822 228.023704 \nL 238.595138 223.529373 \nL 232.778182 218.720429 \nL 226.930026 213.620617 \nL 220.081733 207.336837 \nL 213.224302 200.733372 \nL 206.379722 193.853879 \nL 198.605316 185.711183 \nL 190.922768 177.334708 \nL 183.379573 168.792976 \nL 176.028212 160.154062 \nL 168.925705 151.484837 \nL 162.132993 142.850241 \nL 155.714111 134.312632 \nL 150.45622 126.968421 \nL 145.580112 119.781244 \nL 141.130619 112.786112 \nL 137.68974 106.967804 \nL 134.621492 101.333325 \nL 132.36781 96.790894 \nL 130.404762 92.397368 \nL 128.745476 88.161162 \nL 127.402052 84.089918 \nL 126.385433 80.19049 \nL 125.813973 77.198758 \nL 125.462157 74.323643 \nL 125.333667 71.567587 \nL 125.431538 68.932713 \nL 125.758126 66.420865 \nL 126.315082 64.033582 \nL 127.103333 61.772114 \nL 128.123057 59.637427 \nL 129.373669 57.630254 \nL 130.853826 55.751092 \nL 132.56138 54.000172 \nL 134.493425 52.37751 \nL 136.646264 50.88293 \nL 139.015436 49.516087 \nL 141.595718 48.276448 \nL 144.381129 47.163342 \nL 147.364963 46.175962 \nL 151.362443 45.117124 \nL 155.642394 44.251325 \nL 160.18729 43.576414 \nL 164.978178 43.090141 \nL 169.994755 42.790203 \nL 175.215513 42.67428 \nL 181.718088 42.774909 \nL 188.441399 43.133561 \nL 195.343187 43.746756 \nL 202.380068 44.611421 \nL 209.507938 45.72481 \nL 216.682373 47.084676 \nL 223.859049 48.689192 \nL 230.994139 50.536977 \nL 238.044709 52.62704 \nL 243.825513 54.553368 \nL 249.495397 56.647275 \nL 255.032021 58.90861 \nL 260.414086 61.337302 \nL 265.621464 63.933237 \nL 270.635306 66.696245 \nL 275.438119 69.626036 \nL 280.013862 72.722174 \nL 283.501166 75.318365 \nL 286.82712 78.020038 \nL 289.985682 80.826529 \nL 292.971471 83.737009 \nL 295.7798 86.750451 \nL 298.406656 89.865603 \nL 300.848712 93.080985 \nL 303.103326 96.394866 \nL 305.168515 99.805222 \nL 307.042975 103.309755 \nL 308.726038 106.905835 \nL 310.217686 110.590536 \nL 311.518486 114.360576 \nL 312.629609 118.212317 \nL 313.552793 122.141777 \nL 314.290302 126.144595 \nL 314.844886 130.216043 \nL 315.219815 134.35101 \nL 315.441454 139.60064 \nL 315.396212 144.929362 \nL 315.093017 150.324703 \nL 314.541543 155.773299 \nL 313.752126 161.260914 \nL 312.735627 166.772482 \nL 311.503274 172.292151 \nL 310.066627 177.803336 \nL 308.43741 183.288798 \nL 306.24476 189.812249 \nL 303.812125 196.24118 \nL 301.159544 202.543011 \nL 298.306578 208.684588 \nL 295.272088 214.632448 \nL 292.074115 220.353133 \nL 288.72973 225.813467 \nL 285.842481 230.141344 \nL 282.87335 234.247418 \nL 279.830411 238.113898 \nL 276.721151 241.723683 \nL 273.552482 245.060522 \nL 270.330733 248.109096 \nL 267.061667 250.855172 \nL 263.75049 253.285724 \nL 261.074401 254.995013 \nL 258.376563 256.489407 \nL 255.658968 257.764097 \nL 252.923447 258.814902 \nL 250.17168 259.638299 \nL 247.405206 260.231392 \nL 244.625447 260.592001 \nL 241.833725 260.718595 \nL 239.031287 260.61035 \nL 236.21932 260.267151 \nL 233.398976 259.689566 \nL 230.571382 258.878868 \nL 227.737679 257.837016 \nL 224.899024 256.56663 \nL 222.05663 255.071023 \nL 219.21177 253.354135 \nL 216.365809 251.420528 \nL 212.809061 248.706678 \nL 209.256054 245.673629 \nL 205.710306 242.334035 \nL 202.175751 238.701721 \nL 198.656776 234.791635 \nL 194.461498 229.75531 \nL 190.305206 224.371057 \nL 186.198547 218.669495 \nL 182.153388 212.682404 \nL 178.182851 206.442439 \nL 173.664079 198.887229 \nL 169.291321 191.086288 \nL 165.091547 183.092726 \nL 161.093632 174.958987 \nL 157.328076 166.73634 \nL 154.309472 159.655249 \nL 151.505465 152.575354 \nL 148.93688 145.525409 \nL 146.624572 138.53273 \nL 144.589122 131.623078 \nL 142.850658 124.820556 \nL 141.642778 119.249824 \nL 140.665216 113.781064 \nL 139.927976 108.425406 \nL 139.440312 103.193106 \nL 139.21063 98.093532 \nL 139.246371 93.135191 \nL 139.470371 89.275371 \nL 139.871054 85.514369 \nL 140.450632 81.855381 \nL 141.210768 78.301273 \nL 142.152577 74.854586 \nL 143.276574 71.517578 \nL 144.582679 68.292207 \nL 146.070177 65.180155 \nL 147.73773 62.182856 \nL 149.583332 59.301481 \nL 151.604342 56.536993 \nL 153.797438 53.890138 \nL 156.158665 51.361481 \nL 158.683396 48.951395 \nL 161.366362 46.660127 \nL 164.201663 44.487785 \nL 167.182782 42.434349 \nL 171.10332 40.034589 \nL 175.225332 37.820066 \nL 179.532295 35.790275 \nL 184.00644 33.944633 \nL 188.628846 32.282501 \nL 193.379559 30.803294 \nL 198.237711 29.506465 \nL 203.181648 28.391526 \nL 208.189076 27.458148 \nL 214.249657 26.577516 \nL 220.328752 25.958051 \nL 226.385946 25.600134 \nL 232.380847 25.504482 \nL 238.273473 25.672238 \nL 243.077559 26.014303 \nL 247.761301 26.541331 \nL 252.303326 27.254455 \nL 256.683101 28.154898 \nL 260.881077 29.243961 \nL 264.878806 30.522937 \nL 268.659064 31.993137 \nL 272.205931 33.655738 \nL 274.865596 35.125096 \nL 277.359851 36.718791 \nL 279.682598 38.437202 \nL 281.828388 40.280648 \nL 283.792453 42.249289 \nL 285.570694 44.343151 \nL 287.159705 46.562129 \nL 288.556769 48.905938 \nL 289.759869 51.374101 \nL 290.767667 53.965944 \nL 291.579517 56.680564 \nL 292.195436 59.516863 \nL 292.616105 62.47346 \nL 292.842832 65.548725 \nL 292.877538 68.740772 \nL 292.722751 72.04744 \nL 292.267513 76.338211 \nL 291.528215 80.798797 \nL 290.513219 85.423012 \nL 289.232 90.203918 \nL 287.694995 95.133796 \nL 285.52891 101.234295 \nL 283.031693 107.520886 \nL 280.225451 113.975808 \nL 277.133181 120.579674 \nL 273.19551 128.444411 \nL 268.938574 136.447454 \nL 263.731105 145.713617 \nL 258.211477 155.048592 \nL 252.433051 164.387168 \nL 246.446304 173.660918 \nL 240.298123 182.798839 \nL 234.031322 191.728114 \nL 227.684285 200.374946 \nL 222.091485 207.651175 \nL 216.482941 214.60573 \nL 210.875774 221.19081 \nL 206.081872 226.506099 \nL 201.307611 231.488297 \nL 196.5597 236.111162 \nL 191.843834 240.35018 \nL 187.941927 243.573177 \nL 184.068032 246.502109 \nL 180.224264 249.126293 \nL 176.412508 251.436318 \nL 172.63452 253.424087 \nL 169.637551 254.777727 \nL 166.664105 255.918047 \nL 163.715023 256.842914 \nL 160.791209 257.550778 \nL 157.893613 258.040744 \nL 155.02328 258.312565 \nL 152.181364 258.366612 \nL 149.369119 258.203904 \nL 146.587956 257.826096 \nL 143.839436 257.23544 \nL 141.125296 256.434837 \nL 138.44747 255.427789 \nL 135.808088 254.218357 \nL 133.209502 252.811158 \nL 130.654294 251.21138 \nL 128.145266 249.424708 \nL 125.078596 246.937948 \nL 122.095385 244.181838 \nL 119.202734 241.170406 \nL 116.408342 237.918556 \nL 113.720545 234.441981 \nL 111.148193 230.757054 \nL 108.700741 226.880665 \nL 106.388147 222.830139 \nL 104.220828 218.623095 \nL 102.209588 214.27732 \nL 100.365644 209.81069 \nL 98.700394 205.240996 \nL 97.225502 200.585892 \nL 95.952709 195.862739 \nL 94.893803 191.088546 \nL 94.060423 186.279849 \nL 93.46405 181.452643 \nL 93.115898 176.622293 \nL 93.026694 171.803488 \nL 93.206681 167.01016 \nL 93.550967 163.202699 \nL 94.078237 159.426312 \nL 94.79273 155.686988 \nL 95.698278 151.990357 \nL 96.798276 148.341684 \nL 98.095697 144.745867 \nL 99.592999 141.207436 \nL 101.292149 137.730554 \nL 103.194576 134.319029 \nL 105.30108 130.976309 \nL 107.611925 127.705505 \nL 110.126743 124.509393 \nL 112.844507 121.390432 \nL 115.763559 118.350771 \nL 118.881577 115.392284 \nL 122.19556 112.516567 \nL 125.701833 109.724968 \nL 129.396021 107.018614 \nL 134.270265 103.756925 \nL 139.418846 100.63124 \nL 144.82878 97.642585 \nL 150.485467 94.791669 \nL 156.372769 92.078984 \nL 162.473055 89.504843 \nL 168.767265 87.069483 \nL 175.234999 84.773105 \nL 183.194787 82.20125 \nL 191.333698 79.830497 \nL 199.610117 77.661776 \nL 207.98067 75.696429 \nL 216.400552 73.936334 \nL 224.823894 72.383934 \nL 233.204122 71.042277 \nL 241.49436 69.915037 \nL 249.647815 69.006473 \nL 257.618179 68.321422 \nL 265.360047 67.865179 \nL 272.829299 67.643473 \nL 279.983506 67.662265 \nL 286.782301 67.927692 \nL 292.149016 68.34172 \nL 297.222027 68.93475 \nL 301.982301 69.710113 \nL 306.412375 70.670899 \nL 310.496476 71.819951 \nL 313.505184 72.876389 \nL 316.277154 74.055941 \nL 318.806837 75.359483 \nL 321.089486 76.787662 \nL 323.121146 78.340867 \nL 324.898719 80.019258 \nL 326.419883 81.82269 \nL 327.683129 83.750722 \nL 328.687794 85.802608 \nL 329.433993 87.977289 \nL 329.922617 90.273339 \nL 330.155358 92.689008 \nL 330.134606 95.222186 \nL 329.863494 97.870388 \nL 329.345829 100.63077 \nL 328.586104 103.500111 \nL 327.589374 106.474827 \nL 326.361309 109.550955 \nL 324.51039 113.5321 \nL 322.320844 117.655665 \nL 319.806871 121.911537 \nL 316.983576 126.288766 \nL 313.209673 131.68502 \nL 309.041684 137.217306 \nL 304.509011 142.862405 \nL 299.641547 148.595765 \nL 293.579827 155.361843 \nL 287.150815 162.17038 \nL 280.40107 168.977257 \nL 273.375628 175.737257 \nL 266.117565 182.404493 \nL 258.66759 188.932872 \nL 251.063753 195.276568 \nL 243.341226 201.390514 \nL 236.651918 206.414915 \nL 229.917614 211.211708 \nL 223.155216 215.755477 \nL 216.38009 220.022213 \nL 209.606145 223.989526 \nL 203.97119 227.051981 \nL 198.352416 229.881346 \nL 192.755914 232.467796 \nL 187.187313 234.802687 \nL 181.651859 236.878475 \nL 176.154464 238.688898 \nL 170.69981 240.228943 \nL 165.2924 241.494892 \nL 159.936655 242.48438 \nL 154.636986 243.196398 \nL 149.39784 243.631245 \nL 144.223826 243.790623 \nL 139.119722 243.677543 \nL 134.090582 243.296353 \nL 129.141785 242.652676 \nL 124.279066 241.753359 \nL 119.508604 240.606432 \nL 114.837019 239.221071 \nL 110.271446 237.607469 \nL 105.819477 235.776819 \nL 101.489309 233.741193 \nL 97.289644 231.513439 \nL 93.229708 229.107134 \nL 89.319231 226.536425 \nL 85.568469 223.815965 \nL 81.988125 220.960794 \nL 78.589333 217.986224 \nL 75.383551 214.907735 \nL 72.382601 211.740879 \nL 69.5985 208.501157 \nL 67.043492 205.203908 \nL 64.729847 201.864239 \nL 62.66982 198.496904 \nL 60.875611 195.116215 \nL 59.359169 191.735969 \nL 58.132145 188.36935 \nL 57.366475 185.694299 \nL 56.798777 183.042057 \nL 56.434321 180.418373 \nL 56.278105 177.828655 \nL 56.334815 175.277956 \nL 56.608774 172.770967 \nL 57.103961 170.311999 \nL 57.823908 167.904986 \nL 58.771714 165.553471 \nL 59.950055 163.260614 \nL 61.361091 161.029182 \nL 63.006458 158.861556 \nL 64.887275 156.759742 \nL 67.004115 154.725366 \nL 69.356978 152.759696 \nL 71.945291 150.863646 \nL 74.767878 149.037794 \nL 77.822989 147.282396 \nL 81.965201 145.187133 \nL 86.46104 143.20116 \nL 91.30311 141.323152 \nL 96.482539 139.551232 \nL 101.989012 137.883044 \nL 109.011916 136.014249 \nL 116.466001 134.285516 \nL 124.325732 132.691064 \nL 132.562992 131.224894 \nL 142.609404 129.668438 \nL 153.075656 128.269125 \nL 165.479076 126.851445 \nL 178.26852 125.617029 \nL 193.001238 124.437059 \nL 207.964774 123.471252 \nL 223.015865 122.717864 \nL 238.008895 122.181044 \nL 252.797824 121.870845 \nL 267.238178 121.802938 \nL 279.66738 121.962584 \nL 291.614435 122.347191 \nL 301.60113 122.883282 \nL 311.091884 123.619839 \nL 318.791504 124.421209 \nL 326.056411 125.388626 \nL 332.858121 126.530355 \nL 338.15376 127.620538 \nL 343.096525 128.841207 \nL 347.674606 130.19596 \nL 351.877748 131.687852 \nL 355.697236 133.319319 \nL 358.471836 134.72617 \nL 360.993492 136.224003 \nL 363.260032 137.813013 \nL 365.269934 139.493045 \nL 367.022341 141.263566 \nL 368.517071 143.123658 \nL 369.75458 145.071999 \nL 370.73599 147.106858 \nL 371.463026 149.226088 \nL 371.937975 151.427113 \nL 372.163753 153.706932 \nL 372.14379 156.062116 \nL 371.882054 158.488811 \nL 371.383014 160.98274 \nL 370.651564 163.539217 \nL 369.693022 166.153148 \nL 368.513115 168.819049 \nL 366.736171 172.215548 \nL 364.635315 175.671835 \nL 362.22365 179.17486 \nL 359.514827 182.710829 \nL 356.522852 186.26527 \nL 353.261995 189.823115 \nL 349.746696 193.368797 \nL 345.991418 196.886349 \nL 341.188622 201.047333 \nL 336.085592 205.11585 \nL 331.621115 208.414959 \nL 326.978423 211.613422 \nL 322.170653 214.694881 \nL 317.210474 217.643269 \nL 312.110029 220.442909 \nL 306.880933 223.078638 \nL 301.53425 225.535917 \nL 296.080451 227.800918 \nL 290.529484 229.860668 \nL 284.890707 231.703086 \nL 279.172965 233.317114 \nL 273.384598 234.692795 \nL 267.533489 235.821346 \nL 261.627119 236.695221 \nL 255.672605 237.308168 \nL 249.676779 237.655264 \nL 243.646247 237.733009 \nL 237.587456 237.539288 \nL 231.50678 237.073418 \nL 225.410592 236.336171 \nL 219.305332 235.329724 \nL 213.197594 234.057682 \nL 207.094197 232.52504 \nL 201.002262 230.73812 \nL 194.92928 228.704584 \nL 188.883173 226.433326 \nL 182.872367 223.934434 \nL 176.905813 221.219105 \nL 170.993084 218.299574 \nL 165.144353 215.189014 \nL 159.370472 211.901462 \nL 152.556853 207.743648 \nL 145.888801 203.379098 \nL 139.388867 198.835715 \nL 133.080943 194.142234 \nL 126.990164 189.327966 \nL 121.142754 184.422545 \nL 115.565907 179.455619 \nL 110.287545 174.456618 \nL 105.336067 169.454494 \nL 100.740184 164.477491 \nL 96.528524 159.552895 \nL 93.332713 155.507986 \nL 90.439364 151.532043 \nL 87.864004 147.638739 \nL 85.621544 143.840953 \nL 83.726183 140.150709 \nL 82.468757 137.283445 \nL 81.44829 134.497397 \nL 80.670684 131.797419 \nL 80.141265 129.187963 \nL 79.864836 126.673057 \nL 79.845628 124.256309 \nL 80.087253 121.940907 \nL 80.592661 119.729615 \nL 81.364105 117.624775 \nL 82.403174 115.62832 \nL 83.710713 113.741771 \nL 85.286816 111.966244 \nL 87.130829 110.302487 \nL 89.241323 108.750871 \nL 91.616115 107.311401 \nL 94.252232 105.983758 \nL 97.145936 104.7673 \nL 100.292721 103.661097 \nL 104.574021 102.431518 \nL 109.23064 101.369413 \nL 114.248946 100.47137 \nL 119.613667 99.733529 \nL 125.307936 99.151675 \nL 132.550112 98.653012 \nL 140.205971 98.364379 \nL 148.238577 98.277481 \nL 158.033657 98.420029 \nL 168.222394 98.813086 \nL 178.736197 99.44459 \nL 189.504286 100.303503 \nL 200.454423 101.380115 \nL 211.513661 102.666193 \nL 222.60908 104.155163 \nL 233.668499 105.842131 \nL 244.621156 107.723879 \nL 255.398383 109.798781 \nL 265.934217 112.06666 \nL 274.725192 114.164924 \nL 283.255448 116.406956 \nL 291.490021 118.79436 \nL 299.396429 121.328954 \nL 306.94487 124.01259 \nL 312.942254 126.364033 \nL 318.658224 128.820971 \nL 324.080192 131.383973 \nL 329.19709 134.053288 \nL 333.99936 136.828778 \nL 338.478998 139.709837 \nL 342.629522 142.695325 \nL 345.709615 145.157757 \nL 348.57406 147.684733 \nL 351.221634 150.274776 \nL 353.651684 152.926103 \nL 355.864177 155.636615 \nL 357.85965 158.403886 \nL 359.63919 161.225146 \nL 361.204373 164.09728 \nL 362.557315 167.016822 \nL 363.7006 169.97995 \nL 364.637259 172.98248 \nL 365.370732 176.01988 \nL 365.904861 179.087263 \nL 366.243843 182.179398 \nL 366.392205 185.290722 \nL 366.35476 188.415345 \nL 366.054389 192.330354 \nL 365.482003 196.24369 \nL 364.648395 200.141958 \nL 363.564724 204.011143 \nL 362.242332 207.836744 \nL 360.692756 211.603791 \nL 358.927486 215.296975 \nL 356.957978 218.900725 \nL 354.795564 222.399312 \nL 352.451323 225.776937 \nL 349.936035 229.01785 \nL 347.260106 232.106452 \nL 344.433575 235.027404 \nL 341.465919 237.765749 \nL 338.366172 240.306999 \nL 335.142817 242.63725 \nL 331.803766 244.743298 \nL 328.356347 246.612718 \nL 324.80733 248.233972 \nL 321.899129 249.345165 \nL 318.932766 250.285822 \nL 315.910915 251.051461 \nL 312.836047 251.638098 \nL 309.71042 252.042233 \nL 306.536081 252.260883 \nL 303.314915 252.291604 \nL 300.048638 252.132474 \nL 296.738811 251.782138 \nL 293.38688 251.23978 \nL 289.994171 250.505181 \nL 285.697806 249.317119 \nL 281.341925 247.831049 \nL 276.928687 246.050178 \nL 272.460247 243.979031 \nL 267.938802 241.623408 \nL 263.366666 238.990359 \nL 258.746341 236.08811 \nL 254.08061 232.926032 \nL 248.426213 228.8033 \nL 242.717126 224.341332 \nL 236.960542 219.561848 \nL 231.164843 214.488182 \nL 224.366756 208.230226 \nL 217.546532 201.647019 \nL 209.751617 193.780469 \nL 201.990755 185.611825 \nL 194.305027 177.208716 \nL 186.740794 168.639156 \nL 178.440483 158.883557 \nL 171.311005 150.183216 \nL 164.478555 141.522862 \nL 158.006994 132.964162 \nL 152.692312 125.604793 \nL 147.749507 118.405069 \nL 143.223517 111.399613 \nL 139.709412 105.57395 \nL 136.561067 99.933286 \nL 133.804366 94.494764 \nL 131.823899 90.128382 \nL 130.145478 85.921436 \nL 128.781183 81.881355 \nL 127.741942 78.0148 \nL 127.151108 75.050485 \nL 126.778775 72.203674 \nL 126.628624 69.476744 \nL 126.70368 66.871732 \nL 127.006274 64.390428 \nL 127.538054 62.034282 \nL 128.299933 59.804527 \nL 129.29209 57.702092 \nL 130.513924 55.72766 \nL 131.964086 53.881672 \nL 133.640437 52.164332 \nL 135.540057 50.575651 \nL 137.659258 49.115422 \nL 139.993564 47.783285 \nL 142.537773 46.578698 \nL 145.28591 45.500988 \nL 148.231288 44.549341 \nL 152.179055 43.535668 \nL 156.407498 42.715575 \nL 160.899165 42.086926 \nL 165.635143 41.647491 \nL 170.595208 41.394994 \nL 175.757934 41.327141 \nL 182.18901 41.486298 \nL 188.838963 41.904425 \nL 195.665754 42.578097 \nL 202.626238 43.504221 \nL 209.676569 44.680124 \nL 216.772612 46.10353 \nL 223.87035 47.772614 \nL 230.926284 49.685959 \nL 237.897821 51.842521 \nL 243.613124 53.824941 \nL 249.218057 55.97549 \nL 254.690504 58.29398 \nL 260.009393 60.780262 \nL 265.154826 63.43414 \nL 270.108174 66.255376 \nL 274.852178 69.243579 \nL 279.371028 72.398192 \nL 282.814342 75.041142 \nL 286.097775 77.789503 \nL 289.215392 80.642545 \nL 292.161919 83.599367 \nL 294.932763 86.658869 \nL 297.524015 89.819739 \nL 299.932433 93.080422 \nL 302.155451 96.439105 \nL 304.191176 99.893696 \nL 306.038361 103.441817 \nL 307.696425 107.080764 \nL 309.165383 110.807526 \nL 310.445871 114.61875 \nL 311.539095 118.510717 \nL 312.446821 122.479362 \nL 313.171336 126.520248 \nL 313.715447 130.628569 \nL 314.082383 134.799137 \nL 314.297574 140.091365 \nL 314.249782 145.460429 \nL 313.947913 150.893718 \nL 313.401607 156.377729 \nL 312.621114 161.898094 \nL 311.617203 167.439621 \nL 310.40104 172.986341 \nL 308.984053 178.521564 \nL 307.377846 184.027943 \nL 305.21705 190.572247 \nL 302.820643 197.017277 \nL 300.208422 203.330338 \nL 297.399658 209.478185 \nL 294.412932 215.427311 \nL 291.266009 221.144215 \nL 287.975682 226.595737 \nL 285.135562 230.912447 \nL 282.215293 235.003927 \nL 279.222775 238.852429 \nL 276.165361 242.440951 \nL 273.049801 245.753322 \nL 269.882281 248.774327 \nL 266.668433 251.489851 \nL 264.067425 253.433616 \nL 261.442399 255.167578 \nL 258.79552 256.686272 \nL 256.128778 257.984846 \nL 253.443982 259.059058 \nL 250.742802 259.905302 \nL 248.026756 260.520641 \nL 245.29725 260.902805 \nL 242.555584 261.050219 \nL 239.802985 260.961988 \nL 237.040607 260.637945 \nL 234.26957 260.078593 \nL 231.490971 259.285147 \nL 228.70591 258.259509 \nL 225.915502 257.004258 \nL 223.120911 255.522652 \nL 220.323359 253.818561 \nL 217.524154 251.896528 \nL 214.024979 249.195351 \nL 210.528454 246.172929 \nL 207.037951 242.841828 \nL 203.557247 239.215819 \nL 200.090562 235.309798 \nL 195.955716 230.275377 \nL 191.857012 224.889711 \nL 187.804748 219.183359 \nL 183.810426 213.188089 \nL 179.886778 206.936572 \nL 175.417198 199.363628 \nL 171.087079 191.540406 \nL 166.92276 183.520088 \nL 162.95248 175.355217 \nL 159.206138 167.097178 \nL 155.714963 158.795707 \nL 152.949967 151.681809 \nL 150.416586 144.599712 \nL 148.135395 137.576602 \nL 146.126733 130.6381 \nL 144.410444 123.808169 \nL 143.217331 118.215592 \nL 142.251014 112.725804 \nL 141.521343 107.349858 \nL 141.03747 102.097924 \nL 140.807667 96.979306 \nL 140.839275 92.002434 \nL 141.138531 87.174885 \nL 141.574131 83.424934 \nL 142.186369 79.777973 \nL 142.976752 76.236767 \nL 143.946225 72.803771 \nL 145.09513 69.481154 \nL 146.423233 66.270776 \nL 147.929659 63.174248 \nL 149.612911 60.192935 \nL 151.470844 57.32796 \nL 153.500664 54.580219 \nL 155.698922 51.950411 \nL 158.061537 49.439067 \nL 160.583765 47.046534 \nL 163.260237 44.773013 \nL 166.084962 42.618603 \nL 169.814217 40.093019 \nL 173.750551 37.75324 \nL 177.878408 35.598874 \nL 182.18094 33.629392 \nL 186.64011 31.844217 \nL 191.236796 30.242747 \nL 195.950894 28.824434 \nL 200.761455 27.58878 \nL 205.646813 26.535389 \nL 210.584721 25.663985 \nL 216.547614 24.858388 \nL 222.51378 24.314826 \nL 228.443288 24.033796 \nL 234.296359 24.016155 \nL 239.087204 24.203526 \nL 243.775474 24.575542 \nL 248.339529 25.133228 \nL 252.758456 25.877702 \nL 257.012216 26.810203 \nL 261.081765 27.931988 \nL 264.94918 29.244333 \nL 268.597769 30.748486 \nL 272.012167 32.445598 \nL 274.565654 33.942923 \nL 276.953858 35.56485 \nL 279.170958 37.311759 \nL 281.211805 39.183898 \nL 283.071888 41.1814 \nL 284.747399 43.304266 \nL 286.235189 45.552343 \nL 287.532815 47.925279 \nL 288.638507 50.422569 \nL 289.551184 53.043503 \nL 290.270417 55.787144 \nL 290.796457 58.652331 \nL 291.130196 61.637656 \nL 291.273133 64.741455 \nL 291.227387 67.961822 \nL 290.995646 71.296554 \nL 290.44938 75.621996 \nL 289.625022 80.116752 \nL 288.531187 84.774611 \nL 287.177524 89.588597 \nL 285.574627 94.550977 \nL 283.338284 100.689688 \nL 280.780509 107.013637 \nL 277.923456 113.505059 \nL 274.242668 121.264163 \nL 270.223149 129.191435 \nL 265.902557 137.250716 \nL 260.644003 146.573113 \nL 255.09552 155.955453 \nL 249.309279 165.332278 \nL 243.33438 174.63499 \nL 237.216192 183.792484 \nL 230.995911 192.731922 \nL 224.71026 201.379559 \nL 218.391366 209.661695 \nL 212.856847 216.551576 \nL 207.333754 223.058579 \nL 202.618901 228.296667 \nL 197.929304 233.192601 \nL 193.27095 237.720611 \nL 189.416514 241.195566 \nL 185.589771 244.385567 \nL 181.792877 247.278924 \nL 178.027732 249.865144 \nL 174.296033 252.134989 \nL 170.599358 254.080552 \nL 167.668244 255.399104 \nL 164.761295 256.503266 \nL 161.879305 257.391019 \nL 159.023127 258.060909 \nL 156.19368 258.512166 \nL 153.391971 258.74464 \nL 150.61912 258.75881 \nL 147.876379 258.555816 \nL 145.165144 258.137405 \nL 142.486968 257.505976 \nL 139.843591 256.664504 \nL 137.236955 255.616577 \nL 134.669193 254.366374 \nL 132.142666 252.918614 \nL 129.659964 251.278569 \nL 126.622547 248.966933 \nL 123.66409 246.376179 \nL 120.791253 243.519688 \nL 118.01129 240.411816 \nL 115.332057 237.067724 \nL 112.761992 233.503352 \nL 110.310114 229.735269 \nL 107.985961 225.780519 \nL 105.79956 221.656525 \nL 103.761405 217.380981 \nL 101.882337 212.971715 \nL 100.173537 208.446574 \nL 98.646428 203.823315 \nL 97.31258 199.119495 \nL 96.183643 194.352365 \nL 95.271224 189.538772 \nL 94.586823 184.695072 \nL 94.141681 179.837052 \nL 93.946717 174.979862 \nL 94.012402 170.137935 \nL 94.348571 165.324944 \nL 94.818467 161.50406 \nL 95.471722 157.716146 \nL 96.312293 153.967047 \nL 97.34377 150.262248 \nL 98.569297 146.60687 \nL 99.99155 143.005669 \nL 101.6127 139.463036 \nL 103.434372 135.983001 \nL 105.457685 132.569241 \nL 107.683144 129.225087 \nL 110.110645 125.95353 \nL 112.739467 122.757244 \nL 115.568251 119.638588 \nL 118.594972 116.59963 \nL 121.816961 113.642165 \nL 125.230845 110.767728 \nL 128.832582 107.977612 \nL 133.591679 104.610175 \nL 138.626164 101.37787 \nL 143.923678 98.281998 \nL 149.47026 95.323514 \nL 155.250373 92.50312 \nL 161.246956 89.821337 \nL 167.441528 87.278555 \nL 173.814221 84.875111 \nL 181.66672 82.175408 \nL 189.706446 79.677618 \nL 197.892491 77.382755 \nL 206.182075 75.292232 \nL 214.530899 73.407916 \nL 222.893484 71.732225 \nL 231.223542 70.26818 \nL 239.474361 69.019359 \nL 247.599199 67.989957 \nL 255.551695 67.184715 \nL 263.286263 66.608874 \nL 270.758508 66.268066 \nL 277.9256 66.168226 \nL 284.746696 66.315463 \nL 290.138777 66.631332 \nL 295.242909 67.12655 \nL 300.039651 67.804463 \nL 304.511086 68.668252 \nL 308.640955 69.72082 \nL 311.689115 70.700539 \nL 314.502772 71.80386 \nL 317.076119 73.03172 \nL 319.404125 74.384837 \nL 321.482571 75.863742 \nL 323.30805 77.468657 \nL 324.877978 79.199581 \nL 326.190617 81.056191 \nL 327.244984 83.037886 \nL 328.040942 85.143735 \nL 328.579141 87.372485 \nL 328.860978 89.722542 \nL 328.888682 92.191962 \nL 328.665133 94.778443 \nL 328.193945 97.479319 \nL 327.479395 100.291566 \nL 326.526386 103.211779 \nL 325.340408 106.236207 \nL 323.539625 110.156968 \nL 321.397231 114.22525 \nL 318.927221 118.431337 \nL 316.144583 122.764692 \nL 312.414961 128.116685 \nL 308.286276 133.614516 \nL 303.787938 139.235651 \nL 298.949955 144.956202 \nL 292.916761 151.722279 \nL 286.510365 158.547795 \nL 279.777856 165.389478 \nL 272.764951 172.202842 \nL 265.515452 178.942603 \nL 258.070865 185.56312 \nL 250.470052 192.018851 \nL 242.749022 198.264829 \nL 234.940769 204.257131 \nL 228.201348 209.159322 \nL 221.437006 213.818451 \nL 214.663267 218.210307 \nL 207.89417 222.312224 \nL 201.142369 226.103261 \nL 195.537338 229.011208 \nL 189.958252 231.680123 \nL 184.410649 234.101208 \nL 178.899657 236.266803 \nL 173.430083 238.170442 \nL 168.006471 239.80691 \nL 162.633204 241.172257 \nL 157.31455 242.26387 \nL 152.054761 243.080413 \nL 146.858137 243.62192 \nL 141.729084 243.889773 \nL 136.672224 243.886629 \nL 131.692391 243.616482 \nL 126.794759 243.084593 \nL 121.984851 242.297434 \nL 117.268602 241.262666 \nL 112.652412 239.989066 \nL 108.143138 238.486445 \nL 103.748131 236.765643 \nL 99.475302 234.838332 \nL 95.333068 232.717008 \nL 91.330379 230.414892 \nL 87.476682 227.94579 \nL 83.781922 225.324036 \nL 80.256504 222.564353 \nL 76.911267 219.681765 \nL 73.757405 216.69148 \nL 70.806419 213.608798 \nL 68.070076 210.448991 \nL 65.560299 207.227216 \nL 63.289106 203.958385 \nL 61.268525 200.657092 \nL 59.510515 197.337517 \nL 58.026796 194.013346 \nL 56.82887 190.697685 \nL 56.083757 188.059675 \nL 55.534078 185.44114 \nL 55.185081 182.847811 \nL 55.041716 180.285095 \nL 55.108625 177.75805 \nL 55.390119 175.271376 \nL 55.890165 172.829403 \nL 56.612318 170.436095 \nL 57.559713 168.095025 \nL 58.735035 165.809391 \nL 60.140492 163.582006 \nL 61.777821 161.415302 \nL 63.648211 159.311331 \nL 65.752325 157.271782 \nL 68.09029 155.29798 \nL 70.661648 153.390901 \nL 73.465369 151.55119 \nL 77.29429 149.346749 \nL 81.479298 147.248025 \nL 86.014515 145.254315 \nL 90.892624 143.364305 \nL 96.104855 141.576142 \nL 101.641032 139.887509 \nL 108.69571 137.988702 \nL 116.177682 136.224075 \nL 124.06172 134.587976 \nL 133.730797 132.833811 \nL 143.86112 131.237292 \nL 154.400432 129.789533 \nL 166.874293 128.306798 \nL 179.720582 126.997727 \nL 194.501518 125.723403 \nL 209.497269 124.653599 \nL 224.565272 123.788044 \nL 239.560602 123.132425 \nL 254.337885 122.698362 \nL 268.753242 122.503073 \nL 281.149458 122.547766 \nL 293.053706 122.81685 \nL 302.995119 123.252147 \nL 312.433455 123.888808 \nL 320.082568 124.605681 \nL 327.291919 125.489977 \nL 334.033077 126.550258 \nL 339.27451 127.574027 \nL 344.159707 128.72975 \nL 348.676916 130.02115 \nL 352.815904 131.45139 \nL 356.56806 133.022992 \nL 359.286499 134.383294 \nL 361.750038 135.835808 \nL 363.956483 137.380757 \nL 365.904393 139.01801 \nL 367.592955 140.747054 \nL 369.022022 142.566985 \nL 370.192096 144.476495 \nL 371.104356 146.473861 \nL 371.760572 148.556938 \nL 372.163101 150.723153 \nL 372.314927 152.969505 \nL 372.219537 155.292563 \nL 371.88099 157.688465 \nL 371.303779 160.152933 \nL 370.492913 162.68127 \nL 369.453764 165.268377 \nL 368.192153 167.908763 \nL 366.311655 171.275192 \nL 364.105794 174.703435 \nL 361.587842 178.180424 \nL 358.77159 181.692352 \nL 355.671248 185.224746 \nL 352.301246 188.762535 \nL 348.676185 192.290162 \nL 344.010031 196.487389 \nL 339.022823 200.618831 \nL 333.739361 204.65598 \nL 328.183895 208.570224 \nL 323.363514 211.717699 \nL 318.383636 214.743867 \nL 313.256939 217.632841 \nL 307.995486 220.369189 \nL 302.610837 222.938038 \nL 297.11398 225.325179 \nL 291.515346 227.517168 \nL 285.824787 229.501431 \nL 280.051615 231.266353 \nL 274.204657 232.801368 \nL 268.292224 234.097037 \nL 262.322201 235.145124 \nL 256.302102 235.93865 \nL 250.239109 236.471957 \nL 244.140147 236.74074 \nL 238.011949 236.742095 \nL 231.861132 236.474516 \nL 225.694266 235.937969 \nL 219.51796 235.133789 \nL 213.338931 234.064793 \nL 207.164083 232.735153 \nL 201.000579 231.150421 \nL 194.855914 229.317504 \nL 188.737985 227.244551 \nL 182.655141 224.940973 \nL 176.616253 222.417302 \nL 170.630757 219.685147 \nL 164.708678 216.757119 \nL 158.860696 213.646732 \nL 151.95689 209.693771 \nL 145.196923 205.524962 \nL 138.602971 201.167604 \nL 132.198554 196.649964 \nL 126.0084 192.000984 \nL 120.058374 187.250042 \nL 114.37531 182.426637 \nL 108.986842 177.560173 \nL 103.921155 172.679666 \nL 99.206717 167.813517 \nL 94.872045 162.989259 \nL 91.570289 159.020162 \nL 88.567899 155.113173 \nL 85.880479 151.282218 \nL 83.523055 147.540452 \nL 81.50994 143.900194 \nL 79.854637 140.372874 \nL 78.79644 137.639417 \nL 77.981149 134.989898 \nL 77.414171 132.428832 \nL 77.100366 129.960317 \nL 77.043999 127.588021 \nL 77.248773 125.315194 \nL 77.71772 123.144655 \nL 78.453194 121.0788 \nL 79.456887 119.119603 \nL 80.729749 117.26863 \nL 82.27202 115.527032 \nL 84.083161 113.895579 \nL 86.161893 112.374653 \nL 88.506169 110.964274 \nL 91.113199 109.664128 \nL 93.979417 108.473564 \nL 97.100476 107.391617 \nL 101.352415 106.190041 \nL 105.983114 105.153285 \nL 110.979331 104.277834 \nL 116.326192 103.559715 \nL 122.007244 102.994554 \nL 129.240262 102.511703 \nL 136.894972 102.233967 \nL 144.935158 102.152684 \nL 154.751064 102.294559 \nL 164.974576 102.678529 \nL 175.538148 103.291809 \nL 186.371965 104.122631 \nL 198.99281 105.325181 \nL 211.765643 106.785108 \nL 224.582674 108.492135 \nL 237.337433 110.438991 \nL 248.365015 112.33578 \nL 259.1981 114.411727 \nL 269.772273 116.667188 \nL 280.026484 119.103745 \nL 288.517689 121.338255 \nL 296.698233 123.709642 \nL 304.537138 126.220042 \nL 312.006081 128.871591 \nL 317.929118 131.19044 \nL 323.564287 133.609577 \nL 328.899852 136.129652 \nL 333.925534 138.750978 \nL 338.632551 141.473451 \nL 343.013666 144.296483 \nL 347.063106 147.21893 \nL 350.060912 149.627307 \nL 352.842178 152.096988 \nL 355.405967 154.626473 \nL 357.751935 157.213955 \nL 359.880334 159.857305 \nL 361.791919 162.554064 \nL 363.487982 165.301433 \nL 364.970352 168.096265 \nL 366.241305 170.935066 \nL 367.303584 173.813984 \nL 368.160345 176.728817 \nL 368.815178 179.675011 \nL 369.271993 182.647672 \nL 369.535091 185.641567 \nL 369.609043 188.651142 \nL 369.498709 191.67052 \nL 369.109408 195.449106 \nL 368.450459 199.220682 \nL 367.532666 202.971961 \nL 366.367074 206.689087 \nL 364.964944 210.357714 \nL 363.337608 213.963116 \nL 361.49642 217.490222 \nL 359.452651 220.923763 \nL 357.217371 224.248333 \nL 354.801418 227.448509 \nL 352.215334 230.50894 \nL 349.469249 233.414475 \nL 346.572893 236.150252 \nL 343.535528 238.701818 \nL 340.365853 241.055227 \nL 337.07209 243.197124 \nL 333.661865 245.114879 \nL 330.142255 246.796662 \nL 326.519778 248.231572 \nL 322.800344 249.409618 \nL 319.758633 250.161114 \nL 316.660853 250.738479 \nL 313.509323 251.138151 \nL 310.306142 251.357076 \nL 307.053254 251.392703 \nL 303.752431 251.243022 \nL 300.405285 250.906544 \nL 297.013313 250.382315 \nL 292.712392 249.462469 \nL 288.346043 248.249124 \nL 283.916604 246.744059 \nL 279.426292 244.950347 \nL 274.877321 242.872363 \nL 270.271948 240.515739 \nL 265.612568 237.887339 \nL 260.901766 234.995169 \nL 255.184976 231.189325 \nL 249.403892 227.034579 \nL 243.565028 222.550658 \nL 237.67595 217.759068 \nL 230.753693 211.810915 \nL 223.791403 205.514499 \nL 216.808136 198.910941 \nL 208.829957 191.042819 \nL 200.891057 182.895033 \nL 193.034646 174.534344 \nL 184.355414 164.957548 \nL 175.918913 155.29078 \nL 167.809203 145.626567 \nL 160.947689 137.110527 \nL 154.481913 128.726869 \nL 149.202487 121.544299 \nL 144.324149 114.542001 \nL 139.892469 107.753147 \nL 136.483124 102.127299 \nL 133.46152 96.698505 \nL 131.258162 92.336781 \nL 129.355661 88.13173 \nL 127.76689 84.091136 \nL 126.503593 80.222026 \nL 125.734401 77.254434 \nL 125.184985 74.40347 \nL 124.859501 71.67166 \nL 124.761447 69.061238 \nL 124.893653 66.57415 \nL 125.258263 64.212027 \nL 125.856677 61.976223 \nL 126.689576 59.86782 \nL 127.756863 57.887622 \nL 129.057674 56.036197 \nL 130.590357 54.313863 \nL 132.352472 52.720709 \nL 134.340805 51.25661 \nL 136.551337 49.921267 \nL 138.979295 48.714183 \nL 141.619128 47.634711 \nL 144.464548 46.682072 \nL 148.299683 45.668222 \nL 152.429821 44.849085 \nL 156.838126 44.222473 \nL 161.506257 43.786031 \nL 166.414488 43.537333 \nL 171.541793 43.473943 \nL 177.952508 43.639025 \nL 184.606672 44.063325 \nL 191.462517 44.742974 \nL 198.476999 45.67443 \nL 205.606209 46.854477 \nL 212.80578 48.280389 \nL 220.031291 49.949792 \nL 227.238683 51.860808 \nL 234.384643 54.011914 \nL 241.426999 56.401986 \nL 247.187091 58.575631 \nL 252.824376 60.914224 \nL 258.317295 63.417447 \nL 263.645425 66.084963 \nL 268.789578 68.916392 \nL 273.731897 71.911237 \nL 278.455973 75.068835 \nL 282.946874 78.388299 \nL 286.362661 81.159619 \nL 289.614509 84.032984 \nL 292.69698 87.007443 \nL 295.60529 90.081845 \nL 298.335345 93.254829 \nL 300.883738 96.524803 \nL 303.247709 99.889905 \nL 305.425186 103.348017 \nL 307.41476 106.896709 \nL 309.215634 110.533257 \nL 310.82766 114.254616 \nL 312.251296 118.05738 \nL 313.487565 121.937819 \nL 314.538079 125.891839 \nL 315.404947 129.914973 \nL 316.090811 134.002395 \nL 316.598757 138.148889 \nL 316.988904 143.406537 \nL 317.114375 148.735998 \nL 316.983793 154.124632 \nL 316.606543 159.558913 \nL 315.992654 165.024458 \nL 315.152666 170.506074 \nL 314.097567 175.98779 \nL 312.83858 181.452937 \nL 311.387166 186.884199 \nL 309.754857 192.263692 \nL 307.573503 198.624871 \nL 305.167909 204.852606 \nL 302.557306 210.913913 \nL 299.760324 216.775526 \nL 296.794784 222.404205 \nL 293.677589 227.767027 \nL 290.975575 232.00964 \nL 288.187889 236.027005 \nL 285.322575 239.801517 \nL 282.387093 243.316297 \nL 279.388316 246.555297 \nL 276.332553 249.503454 \nL 273.225523 252.146785 \nL 270.706502 254.033333 \nL 268.160413 255.710617 \nL 265.589461 257.173218 \nL 262.995674 258.416364 \nL 260.38088 259.435846 \nL 257.746755 260.228115 \nL 255.09482 260.790274 \nL 252.426466 261.120083 \nL 249.742971 261.216 \nL 247.045516 261.077176 \nL 244.335209 260.70346 \nL 241.613103 260.095357 \nL 238.880215 259.254116 \nL 236.137549 258.181622 \nL 233.386113 256.880471 \nL 230.626945 255.353922 \nL 227.861128 253.605818 \nL 224.39627 251.116064 \nL 220.925281 248.297326 \nL 217.450886 245.16108 \nL 213.976137 241.720052 \nL 210.504473 237.988172 \nL 206.348022 233.14717 \nL 202.2092 227.93666 \nL 198.096668 222.386037 \nL 194.020243 216.526067 \nL 189.32482 209.341004 \nL 184.713215 201.830162 \nL 180.207351 194.046246 \nL 175.831384 186.042152 \nL 171.611578 177.870421 \nL 167.576141 169.582666 \nL 163.754926 161.229119 \nL 160.179126 152.85819 \nL 156.880858 144.516085 \nL 154.299376 137.421845 \nL 151.966294 130.406824 \nL 149.901888 123.495315 \nL 148.125899 116.709947 \nL 146.879923 111.166957 \nL 145.857805 105.737265 \nL 145.069302 100.431165 \nL 144.523413 95.25811 \nL 144.228285 90.22669 \nL 144.191092 85.344665 \nL 144.417945 80.61897 \nL 144.792907 76.955125 \nL 145.342009 73.398068 \nL 146.066661 69.950283 \nL 146.967733 66.613966 \nL 148.045504 63.391021 \nL 149.299643 60.283087 \nL 150.729208 57.291563 \nL 152.332624 54.417609 \nL 154.107699 51.662181 \nL 156.051589 49.025988 \nL 158.160809 46.509587 \nL 160.43123 44.11336 \nL 162.858102 41.837528 \nL 165.436045 39.682198 \nL 168.159063 37.647342 \nL 171.756764 35.272998 \nL 175.556698 33.086335 \nL 179.54342 31.086778 \nL 183.700235 29.273716 \nL 188.009308 27.646467 \nL 192.451747 26.204376 \nL 197.007745 24.946787 \nL 201.656681 23.873142 \nL 206.377265 22.982999 \nL 211.147667 22.276029 \nL 216.906603 21.669228 \nL 222.666432 21.325968 \nL 228.388177 21.246646 \nL 234.033096 21.431972 \nL 238.65097 21.789366 \nL 243.167427 22.332078 \nL 247.561505 23.061045 \nL 251.813008 23.977278 \nL 255.902605 25.081874 \nL 259.811976 26.375966 \nL 263.523923 27.860645 \nL 267.022472 29.537044 \nL 269.657772 31.01687 \nL 272.140234 32.620465 \nL 274.463604 34.348201 \nL 276.622239 36.20038 \nL 278.611121 38.177177 \nL 280.425909 40.278664 \nL 282.062889 42.504779 \nL 283.519048 44.855275 \nL 284.792001 47.32976 \nL 285.880046 49.927661 \nL 286.782146 52.648206 \nL 287.497903 55.490394 \nL 288.027556 58.453004 \nL 288.371969 61.534566 \nL 288.532604 64.733387 \nL 288.511515 68.047485 \nL 288.233611 72.348786 \nL 287.682103 76.821641 \nL 286.864411 81.460336 \nL 285.789063 86.258404 \nL 284.465574 91.20862 \nL 282.564502 97.338392 \nL 280.340461 103.660406 \nL 277.814077 110.157747 \nL 275.006971 116.811882 \nL 271.406972 124.746276 \nL 267.49127 132.832005 \nL 262.675935 142.210034 \nL 257.548638 151.676763 \nL 252.160853 161.168105 \nL 246.561505 170.616395 \nL 240.796249 179.951 \nL 234.906941 189.099021 \nL 228.931276 197.986105 \nL 222.902557 206.537347 \nL 217.606717 213.685645 \nL 212.309044 220.47085 \nL 207.023723 226.845472 \nL 202.512369 231.948145 \nL 198.025181 236.688668 \nL 193.567475 241.041678 \nL 189.878489 244.356201 \nL 186.215291 247.372937 \nL 182.579799 250.080668 \nL 178.973721 252.469447 \nL 175.398615 254.530623 \nL 172.56182 255.938805 \nL 169.74653 257.129648 \nL 166.953505 258.10076 \nL 164.18353 258.850361 \nL 161.437456 259.377309 \nL 158.716222 259.681126 \nL 156.020839 259.761971 \nL 153.352456 259.620659 \nL 150.712355 259.25865 \nL 148.101957 258.678071 \nL 145.522876 257.881631 \nL 142.976895 256.872705 \nL 140.465987 255.655224 \nL 137.992352 254.233731 \nL 135.558408 252.61331 \nL 133.166786 250.799584 \nL 130.241206 248.269935 \nL 127.392448 245.460823 \nL 124.627269 242.386267 \nL 121.953026 239.061214 \nL 119.377667 235.501456 \nL 116.909703 231.72349 \nL 114.558235 227.744373 \nL 112.332834 223.581622 \nL 110.243583 219.25312 \nL 108.300955 214.776939 \nL 106.515814 210.171259 \nL 104.899306 205.454218 \nL 103.462761 200.643826 \nL 102.217706 195.757855 \nL 101.175653 190.813719 \nL 100.34807 185.828396 \nL 99.746289 180.818346 \nL 99.381353 175.799414 \nL 99.263908 170.786774 \nL 99.404129 165.794871 \nL 99.811574 160.837357 \nL 100.335905 156.904759 \nL 101.041103 153.008575 \nL 101.93093 149.154622 \nL 103.008747 145.348352 \nL 104.277435 141.594854 \nL 105.739454 137.898845 \nL 107.396722 134.264688 \nL 109.250614 130.69638 \nL 111.301951 127.197568 \nL 113.550952 123.771559 \nL 115.997238 120.42133 \nL 118.63978 117.149536 \nL 121.476916 113.958535 \nL 124.506307 110.850388 \nL 127.724952 107.826899 \nL 131.129174 104.889616 \nL 134.71463 102.039865 \nL 139.443554 98.60245 \nL 144.436381 95.305316 \nL 149.680163 92.149852 \nL 155.160339 89.137141 \nL 160.860817 86.268022 \nL 166.764 83.543164 \nL 172.850891 80.963126 \nL 179.101168 78.528407 \nL 186.786725 75.799334 \nL 194.637067 73.281375 \nL 202.61079 70.975832 \nL 210.664762 68.884413 \nL 218.75448 67.009272 \nL 226.834433 65.353038 \nL 234.858481 63.918899 \nL 242.780259 62.710593 \nL 250.553572 61.732369 \nL 258.132809 60.988967 \nL 265.473353 60.485496 \nL 272.531987 60.227446 \nL 279.267297 60.220476 \nL 284.604674 60.410638 \nL 289.668841 60.782467 \nL 294.439772 61.339215 \nL 298.898916 62.083919 \nL 303.029362 63.019449 \nL 306.086754 63.906997 \nL 308.917007 64.919475 \nL 311.513907 66.057864 \nL 313.872029 67.32299 \nL 315.986708 68.715435 \nL 317.854137 70.235573 \nL 319.471286 71.883536 \nL 320.835936 73.659182 \nL 321.946739 75.562104 \nL 322.803111 77.591576 \nL 323.405281 79.746605 \nL 323.754278 82.025864 \nL 323.851887 84.427688 \nL 323.700632 86.950102 \nL 323.303763 89.590758 \nL 322.665211 92.346979 \nL 321.789573 95.215743 \nL 320.682029 98.19367 \nL 318.980341 102.063873 \nL 316.937819 106.090745 \nL 314.568023 110.265403 \nL 311.885577 114.57815 \nL 308.275762 119.920892 \nL 304.266105 125.427751 \nL 299.885802 131.077659 \nL 294.34692 137.819982 \nL 288.392423 144.688561 \nL 282.070436 151.643502 \nL 275.42836 158.643164 \nL 268.512331 165.644502 \nL 260.329549 173.591517 \nL 252.972634 180.44725 \nL 245.472815 187.164543 \nL 237.866153 193.698756 \nL 230.185643 200.005972 \nL 222.461162 206.043471 \nL 215.825558 210.972614 \nL 209.19247 215.648742 \nL 202.575459 220.048555 \nL 195.986649 224.150316 \nL 189.436863 227.93403 \nL 184.015509 230.83108 \nL 178.633021 233.485357 \nL 173.294026 235.888588 \nL 168.002818 238.033655 \nL 162.763415 239.914624 \nL 157.579631 241.526782 \nL 152.455181 242.866669 \nL 147.393729 243.932122 \nL 142.398964 244.722265 \nL 137.474687 245.237559 \nL 132.624859 245.479721 \nL 127.853688 245.45179 \nL 123.165656 245.158042 \nL 118.5656 244.604013 \nL 114.058749 243.796406 \nL 109.650776 242.743086 \nL 105.347809 241.45296 \nL 101.156479 239.935957 \nL 97.083943 238.202934 \nL 93.137862 236.265599 \nL 89.326434 234.136402 \nL 85.658383 231.828467 \nL 82.142912 229.355505 \nL 78.789729 226.731657 \nL 75.608952 223.971451 \nL 72.611123 221.089668 \nL 69.807116 218.101234 \nL 67.208101 215.021121 \nL 64.825408 211.864258 \nL 62.67062 208.645401 \nL 60.755273 205.37908 \nL 59.090939 202.079453 \nL 57.689061 198.760268 \nL 56.560845 195.434742 \nL 55.717187 192.115521 \nL 55.254231 189.472757 \nL 54.98528 186.847514 \nL 54.915227 184.245292 \nL 55.04869 181.671257 \nL 55.390016 179.13024 \nL 55.943159 176.626716 \nL 56.711745 174.164808 \nL 57.699008 171.748266 \nL 58.907728 169.380477 \nL 60.340259 167.064457 \nL 61.998488 164.802855 \nL 63.883787 162.597951 \nL 65.997037 160.451669 \nL 68.338581 158.365582 \nL 70.908223 156.340922 \nL 73.705199 154.378593 \nL 77.519051 152.014207 \nL 81.682152 149.748624 \nL 86.189265 147.581685 \nL 91.033668 145.512626 \nL 96.207265 143.540147 \nL 101.700555 141.662483 \nL 108.69906 139.531388 \nL 116.120766 137.52942 \nL 123.941588 135.651851 \nL 132.134817 133.893712 \nL 142.125239 131.986838 \nL 152.532494 130.228093 \nL 164.867255 128.390636 \nL 177.589125 126.729033 \nL 192.249728 125.062384 \nL 207.147463 123.60636 \nL 222.140512 122.362115 \nL 237.083826 121.336577 \nL 251.831053 120.542469 \nL 266.236548 119.998044 \nL 278.63895 119.742351 \nL 290.561189 119.721173 \nL 300.526063 119.911378 \nL 309.993109 120.311801 \nL 317.66952 120.833666 \nL 324.90726 121.530263 \nL 331.67659 122.410563 \nL 336.940364 123.290557 \nL 341.846073 124.308428 \nL 346.381221 125.468176 \nL 350.534832 126.773243 \nL 354.297611 128.226447 \nL 357.021206 129.497107 \nL 359.486598 130.864663 \nL 361.691316 132.329501 \nL 363.6336 133.891641 \nL 365.31241 135.550734 \nL 366.727345 137.306038 \nL 367.878759 139.156405 \nL 368.767591 141.10027 \nL 369.395476 143.135646 \nL 369.764676 145.260113 \nL 369.878063 147.470821 \nL 369.739088 149.764486 \nL 369.351719 152.13739 \nL 368.720508 154.58539 \nL 367.85045 157.10392 \nL 366.746999 159.688004 \nL 365.41602 162.332267 \nL 363.441905 165.713411 \nL 361.134994 169.167502 \nL 358.508881 172.681647 \nL 355.577744 176.242176 \nL 352.356196 179.834723 \nL 348.859167 183.444304 \nL 344.320406 187.776406 \nL 339.432944 192.083046 \nL 334.222954 196.335941 \nL 328.716218 200.506406 \nL 322.937935 204.565628 \nL 316.912562 208.484938 \nL 310.663629 212.236079 \nL 305.301653 215.213669 \nL 299.812478 218.03989 \nL 294.207945 220.699883 \nL 288.49931 223.179483 \nL 282.697257 225.465309 \nL 276.811893 227.54486 \nL 270.852777 229.406629 \nL 264.828948 231.040166 \nL 258.748954 232.436145 \nL 252.62093 233.586481 \nL 246.452621 234.484356 \nL 240.251454 235.124251 \nL 234.024608 235.502049 \nL 227.779082 235.615005 \nL 221.521768 235.461809 \nL 215.259528 235.042583 \nL 208.999269 234.358869 \nL 202.748021 233.413642 \nL 196.513008 232.211251 \nL 190.301724 230.757444 \nL 184.122001 229.059233 \nL 177.982073 227.124979 \nL 171.890631 224.964189 \nL 165.856874 222.587538 \nL 159.890544 220.006747 \nL 154.00199 217.234524 \nL 148.202172 214.284467 \nL 142.502649 211.170945 \nL 135.812856 207.240212 \nL 129.307366 203.122944 \nL 123.009685 198.847214 \nL 116.944449 194.44176 \nL 111.137331 189.935713 \nL 105.614817 185.358329 \nL 100.404106 180.738713 \nL 95.532812 176.105555 \nL 91.028717 171.486886 \nL 86.919525 166.909826 \nL 83.816554 163.146181 \nL 81.022208 159.443839 \nL 78.551397 155.816408 \nL 76.418458 152.276705 \nL 74.636941 148.836684 \nL 73.473315 146.163893 \nL 72.548799 143.567197 \nL 71.868938 141.051406 \nL 71.43882 138.620909 \nL 71.263006 136.279674 \nL 71.345476 134.03124 \nL 71.689592 131.878711 \nL 72.298107 129.824761 \nL 73.173128 127.871631 \nL 74.316059 126.021145 \nL 75.727621 124.274696 \nL 77.407803 122.633276 \nL 79.355872 121.097474 \nL 81.570366 119.667511 \nL 84.049089 118.343224 \nL 86.789114 117.124109 \nL 89.786783 116.009342 \nL 93.889355 114.760855 \nL 98.377351 113.670778 \nL 103.238938 112.735665 \nL 108.460568 111.951548 \nL 114.02717 111.314008 \nL 121.138987 110.735683 \nL 128.692304 110.352762 \nL 136.653175 110.156145 \nL 146.407381 110.149901 \nL 156.605499 110.37015 \nL 167.183022 110.802921 \nL 179.65002 111.541076 \nL 192.421731 112.522399 \nL 205.393087 113.732105 \nL 218.458362 115.158421 \nL 231.512447 116.792837 \nL 244.452048 118.630113 \nL 257.176842 120.668204 \nL 268.059037 122.616901 \nL 278.641654 124.722205 \nL 288.866812 126.987543 \nL 297.305686 129.059908 \nL 305.410689 131.256104 \nL 313.152802 133.579312 \nL 320.505644 136.032656 \nL 326.318524 138.17859 \nL 331.83243 140.4183 \nL 337.036611 142.752906 \nL 341.921729 145.183154 \nL 346.479904 147.709338 \nL 350.704678 150.331235 \nL 354.591087 153.048038 \nL 357.454148 155.288862 \nL 360.097171 157.588449 \nL 362.519561 159.945435 \nL 364.721284 162.358142 \nL 366.70282 164.824563 \nL 368.465197 167.342349 \nL 370.009937 169.908815 \nL 371.339029 172.520919 \nL 372.454943 175.175266 \nL 373.360605 177.868112 \nL 374.059286 180.595357 \nL 374.554689 183.352549 \nL 374.850841 186.134901 \nL 374.952074 188.937289 \nL 374.863063 191.75427 \nL 374.588681 194.580092 \nL 373.992834 198.115568 \nL 373.125737 201.642989 \nL 371.99815 205.149351 \nL 370.621083 208.6211 \nL 369.005752 212.044235 \nL 367.163363 215.40437 \nL 365.105165 218.686821 \nL 362.842285 221.876712 \nL 360.385685 224.959075 \nL 357.746058 227.918939 \nL 354.933762 230.741432 \nL 351.958789 233.411898 \nL 348.83072 235.91598 \nL 345.558658 238.23973 \nL 342.151189 240.36976 \nL 338.616384 242.293245 \nL 334.961767 243.998107 \nL 331.194358 245.473071 \nL 327.320549 246.707741 \nL 323.346284 247.692704 \nL 319.276904 248.419572 \nL 315.117325 248.881102 \nL 311.727709 249.055137 \nL 308.285281 249.052843 \nL 303.910888 248.798929 \nL 299.460411 248.263444 \nL 294.937005 247.444802 \nL 290.343609 246.342695 \nL 285.683 244.958131 \nL 280.957849 243.293413 \nL 276.170814 241.35211 \nL 271.324611 239.139022 \nL 266.42208 236.660205 \nL 261.46624 233.922852 \nL 256.46041 230.935269 \nL 250.392613 227.033153 \nL 244.265264 222.802331 \nL 238.086542 218.262791 \nL 231.865825 213.436194 \nL 224.56963 207.47335 \nL 217.250497 201.190399 \nL 209.930931 194.628317 \nL 201.598167 186.841576 \nL 193.341681 178.810897 \nL 185.2102 170.602358 \nL 177.257681 162.282207 \nL 169.542953 153.91607 \nL 162.129105 145.56824 \nL 155.082723 137.300997 \nL 148.47289 129.173991 \nL 143.102784 122.222372 \nL 138.16816 115.456931 \nL 134.320436 109.831353 \nL 130.855444 104.386313 \nL 127.800556 99.139706 \nL 125.5868 94.930962 \nL 123.689804 90.880033 \nL 122.122494 86.994775 \nL 120.896613 83.282245 \nL 120.168765 80.440822 \nL 119.670777 77.716824 \nL 119.406674 75.112768 \nL 119.379851 72.63087 \nL 119.59296 70.273016 \nL 120.047958 68.04079 \nL 120.746033 65.935495 \nL 121.687642 63.958122 \nL 122.872414 62.109397 \nL 124.2992 60.389773 \nL 125.966056 58.799453 \nL 127.870221 57.33841 \nL 130.008139 56.006397 \nL 132.375453 54.802952 \nL 134.967014 53.727439 \nL 137.776921 52.779051 \nL 140.798497 51.956832 \nL 144.861806 51.104813 \nL 149.228275 50.445868 \nL 153.88032 49.97744 \nL 158.798846 49.696825 \nL 163.963377 49.601235 \nL 170.454872 49.726793 \nL 177.229646 50.109878 \nL 184.246141 50.745833 \nL 191.46126 51.63022 \nL 198.830773 52.758992 \nL 206.309713 54.128475 \nL 213.852802 55.735435 \nL 221.414862 57.577101 \nL 228.951212 59.651206 \nL 236.418061 61.955864 \nL 243.772885 64.48956 \nL 249.786767 66.775062 \nL 255.67177 69.218216 \nL 261.406317 71.818481 \nL 266.970004 74.575335 \nL 272.343717 77.488202 \nL 277.509711 80.556382 \nL 282.451704 83.778999 \nL 287.154937 87.154932 \nL 291.606214 90.682743 \nL 294.977989 93.61314 \nL 298.175893 96.638454 \nL 301.195439 99.757347 \nL 304.032821 102.968261 \nL 306.684894 106.269372 \nL 309.149199 109.65862 \nL 311.423925 113.133632 \nL 313.507917 116.69175 \nL 315.400671 120.329997 \nL 317.102279 124.045065 \nL 318.613427 127.833297 \nL 319.935384 131.690693 \nL 321.069969 135.612889 \nL 322.01949 139.595152 \nL 322.786784 143.63238 \nL 323.375097 147.719098 \nL 323.864441 152.888151 \nL 324.087921 158.113148 \nL 324.054386 163.380984 \nL 323.773395 168.677705 \nL 323.25509 173.988541 \nL 322.510126 179.297958 \nL 321.54948 184.589712 \nL 320.384448 189.846924 \nL 319.026429 195.052143 \nL 317.486869 200.187428 \nL 315.777189 205.23446 \nL 313.516858 211.148194 \nL 311.046847 216.875544 \nL 308.385524 222.383925 \nL 306.034343 226.783605 \nL 303.572232 230.990246 \nL 301.008381 234.985728 \nL 298.351449 238.752456 \nL 295.609532 242.273452 \nL 292.790146 245.532449 \nL 289.900227 248.514117 \nL 286.94612 251.204074 \nL 283.933583 253.589062 \nL 281.484993 255.269331 \nL 279.004772 256.741116 \nL 276.495115 257.999387 \nL 273.958013 259.039734 \nL 271.395276 259.858358 \nL 268.808552 260.45207 \nL 266.199292 260.818356 \nL 263.56884 260.955347 \nL 260.918399 260.861856 \nL 258.249065 260.537369 \nL 255.561843 259.982038 \nL 252.85767 259.19673 \nL 250.137431 258.182933 \nL 247.40199 256.942816 \nL 244.652201 255.479241 \nL 241.888929 253.795651 \nL 238.417253 251.388053 \nL 234.92781 248.652383 \nL 231.422682 245.599266 \nL 227.904214 242.240633 \nL 224.375066 238.589597 \nL 220.13029 233.842486 \nL 215.880582 228.721242 \nL 211.632991 223.254032 \nL 207.395661 217.470478 \nL 202.477586 210.36433 \nL 197.603158 202.919964 \nL 192.791695 195.188798 \nL 187.397948 186.068507 \nL 182.151053 176.718454 \nL 177.09098 167.214509 \nL 172.261083 157.630395 \nL 168.260027 149.23425 \nL 164.502926 140.876104 \nL 161.023019 132.598674 \nL 157.853887 124.441998 \nL 155.410242 117.574944 \nL 153.24019 110.845641 \nL 151.363752 104.274092 \nL 149.800009 97.878597 \nL 148.748672 92.695531 \nL 147.936434 87.654994 \nL 147.371988 82.764892 \nL 147.063094 78.032321 \nL 147.01644 73.46361 \nL 147.237587 69.064355 \nL 147.610258 65.670209 \nL 148.158708 62.389791 \nL 148.883983 59.224984 \nL 149.786535 56.177403 \nL 150.866233 53.248445 \nL 152.122316 50.439244 \nL 153.553389 47.750731 \nL 155.157435 45.183604 \nL 156.931795 42.738431 \nL 158.873164 40.415566 \nL 160.97761 38.215221 \nL 163.240554 36.13745 \nL 165.656804 34.182217 \nL 168.220553 32.349353 \nL 171.62286 30.229986 \nL 175.231852 28.300807 \nL 179.032463 26.561053 \nL 183.008389 25.009902 \nL 187.142171 23.646495 \nL 191.415323 22.469972 \nL 195.80843 21.479519 \nL 200.301282 20.674409 \nL 204.872997 20.054005 \nL 209.502162 19.617847 \nL 215.102279 19.337144 \nL 220.715601 19.320973 \nL 226.303871 19.569406 \nL 230.914171 19.978864 \nL 235.458944 20.57278 \nL 239.916904 21.351738 \nL 244.267339 22.316439 \nL 248.490246 23.467696 \nL 252.566455 24.806378 \nL 256.477749 26.333379 \nL 260.206982 28.049629 \nL 263.738188 29.956013 \nL 267.056664 32.053312 \nL 269.549256 33.869048 \nL 271.890943 35.807633 \nL 274.076132 37.869233 \nL 276.099858 40.053894 \nL 277.957774 42.361554 \nL 279.646182 44.791991 \nL 281.162024 47.344833 \nL 282.502875 50.01954 \nL 283.666964 52.815368 \nL 284.653152 55.731379 \nL 285.460932 58.766412 \nL 286.090406 61.919068 \nL 286.542271 65.1877 \nL 286.817813 68.570412 \nL 286.918869 72.065001 \nL 286.803481 76.586829 \nL 286.424957 81.274155 \nL 285.790195 86.120785 \nL 284.907114 91.119747 \nL 283.784621 96.263281 \nL 282.43245 101.542845 \nL 280.521414 108.044632 \nL 278.313929 114.711054 \nL 275.830169 121.522713 \nL 272.611153 129.62504 \nL 269.078377 137.860131 \nL 265.265875 146.188915 \nL 261.207345 154.569628 \nL 256.309882 164.154328 \nL 251.180979 173.679509 \nL 245.864785 183.07257 \nL 240.402057 192.258569 \nL 234.829728 201.161117 \nL 229.889979 208.657861 \nL 224.910968 215.827497 \nL 219.909695 222.619746 \nL 215.616357 228.104274 \nL 211.325437 233.246196 \nL 207.043792 238.017485 \nL 202.777289 242.391828 \nL 199.237062 245.716287 \nL 195.713322 248.735309 \nL 192.208259 251.437247 \nL 188.723816 253.811707 \nL 185.261768 255.849671 \nL 182.509369 257.232641 \nL 179.773182 258.392223 \nL 177.054032 259.325892 \nL 174.352758 260.031737 \nL 171.670244 260.508544 \nL 169.007438 260.755754 \nL 166.365375 260.773492 \nL 163.745185 260.562555 \nL 161.148119 260.124387 \nL 158.575572 259.461139 \nL 156.029083 258.575574 \nL 153.510371 257.47112 \nL 151.021346 256.151805 \nL 148.564101 254.622263 \nL 146.140956 252.887708 \nL 143.754433 250.953897 \nL 140.827007 248.266056 \nL 137.967044 245.290047 \nL 135.181033 242.040278 \nL 132.476046 238.532123 \nL 129.85976 234.781805 \nL 127.340413 230.806293 \nL 124.926804 226.623164 \nL 122.628257 222.250441 \nL 120.454592 217.706535 \nL 118.416049 213.010061 \nL 116.523283 208.179744 \nL 114.787249 203.234292 \nL 113.219139 198.19229 \nL 111.830341 193.072074 \nL 110.632323 187.89164 \nL 109.636507 182.668545 \nL 108.854236 177.419811 \nL 108.296599 172.161864 \nL 107.974356 166.910446 \nL 107.897843 161.680564 \nL 108.076812 156.48643 \nL 108.520365 151.341428 \nL 109.071325 147.269242 \nL 109.800796 143.242528 \nL 110.712232 139.266919 \nL 111.808629 135.347677 \nL 113.092524 131.48969 \nL 114.565941 127.697482 \nL 116.230368 123.975214 \nL 118.086752 120.32669 \nL 120.135436 116.755366 \nL 122.376159 113.264366 \nL 124.808039 109.85649 \nL 127.429549 106.534232 \nL 130.238507 103.299788 \nL 133.232054 100.155089 \nL 136.406657 97.101808 \nL 139.758113 94.141381 \nL 143.281531 91.27503 \nL 147.919078 87.825934 \nL 152.804235 84.527077 \nL 157.923066 81.379757 \nL 163.26006 78.384987 \nL 168.798238 75.543578 \nL 174.519176 72.856162 \nL 180.403122 70.323334 \nL 186.429081 67.945652 \nL 193.816435 65.298017 \nL 201.336176 62.87578 \nL 208.94634 60.680351 \nL 216.60351 58.71349 \nL 224.263183 56.977429 \nL 231.880153 55.474808 \nL 239.408906 54.208771 \nL 246.804033 53.182912 \nL 254.020633 52.40127 \nL 261.014741 51.868273 \nL 267.743717 51.588651 \nL 274.166663 51.567361 \nL 279.257293 51.750597 \nL 284.087266 52.119646 \nL 288.636775 52.677359 \nL 292.887457 53.426447 \nL 296.822533 54.369442 \nL 299.733141 55.265014 \nL 302.425128 56.287197 \nL 304.892309 57.436869 \nL 307.129298 58.714765 \nL 309.131449 60.121415 \nL 310.894952 61.657148 \nL 312.416779 63.32207 \nL 313.694718 65.116074 \nL 314.727395 67.03878 \nL 315.514183 69.089532 \nL 316.055275 71.267401 \nL 316.351644 73.571182 \nL 316.405027 75.99936 \nL 316.217894 78.550099 \nL 315.793413 81.221268 \nL 315.135424 84.010402 \nL 314.248444 86.914705 \nL 312.82554 90.702266 \nL 311.064054 94.658079 \nL 308.976478 98.774532 \nL 306.576412 103.04323 \nL 303.304419 108.353634 \nL 299.630222 113.852703 \nL 295.581937 119.521618 \nL 290.424975 126.322916 \nL 284.845688 133.293285 \nL 278.891723 140.395964 \nL 271.689072 148.625456 \nL 264.127891 156.916296 \nL 256.27449 165.205353 \nL 248.191496 173.427735 \nL 239.937127 181.517487 \nL 231.564636 189.408353 \nL 223.121975 197.034568 \nL 215.710652 203.439694 \nL 208.303343 209.550993 \nL 200.922094 215.328361 \nL 194.63066 219.985794 \nL 188.383013 224.34762 \nL 182.188381 228.393071 \nL 176.054838 232.103202 \nL 170.995364 234.926527 \nL 165.986931 237.496479 \nL 161.03288 239.805449 \nL 156.136329 241.847 \nL 151.300227 243.615871 \nL 146.52741 245.108051 \nL 141.820719 246.320759 \nL 137.183029 247.252551 \nL 132.617353 247.903224 \nL 128.126892 248.273903 \nL 123.715084 248.366986 \nL 119.385705 248.186141 \nL 115.142866 247.736283 \nL 110.991096 247.02354 \nL 106.935379 246.055173 \nL 102.981215 244.839569 \nL 99.134537 243.386151 \nL 95.401886 241.70528 \nL 91.790294 239.808212 \nL 88.307351 237.707026 \nL 84.961211 235.414483 \nL 81.760483 232.943956 \nL 78.714348 230.309348 \nL 75.832386 227.524953 \nL 73.124638 224.605382 \nL 70.601507 221.565461 \nL 68.273718 218.420084 \nL 66.152236 215.18417 \nL 64.24822 211.872517 \nL 62.572921 208.499731 \nL 61.1376 205.08013 \nL 59.953462 201.627633 \nL 59.031518 198.155711 \nL 58.382539 194.677281 \nL 58.066882 191.898146 \nL 57.937706 189.128739 \nL 57.999893 186.374763 \nL 58.258097 183.641612 \nL 58.716662 180.934355 \nL 59.379613 178.257729 \nL 60.250654 175.616127 \nL 61.33309 173.013593 \nL 62.629802 170.453815 \nL 64.143283 167.940129 \nL 65.875533 165.475513 \nL 67.828096 163.062592 \nL 70.001989 160.703647 \nL 72.397728 158.400614 \nL 75.015277 156.155104 \nL 77.854054 153.968409 \nL 81.711833 151.319224 \nL 85.909966 148.764758 \nL 90.443491 146.305661 \nL 95.306073 143.941993 \nL 100.489903 141.673291 \nL 105.985743 139.498637 \nL 111.782937 137.416734 \nL 119.120309 135.038611 \nL 126.850835 132.788549 \nL 134.94836 130.663094 \nL 143.384164 128.658722 \nL 153.611746 126.468773 \nL 164.20375 124.434101 \nL 175.102844 122.55072 \nL 187.856896 120.58007 \nL 200.837202 118.801796 \nL 213.944308 117.217202 \nL 227.07574 115.830827 \nL 241.747701 114.518072 \nL 254.583472 113.583313 \nL 267.116576 112.882304 \nL 279.244527 112.432495 \nL 289.445973 112.260368 \nL 299.197388 112.309753 \nL 308.43833 112.595362 \nL 315.90984 113.039397 \nL 322.931704 113.676999 \nL 329.47361 114.516903 \nL 334.538737 115.37724 \nL 339.237351 116.387975 \nL 343.55684 117.552877 \nL 347.486307 118.875143 \nL 350.342818 120.047988 \nL 352.939866 121.324159 \nL 355.274264 122.704302 \nL 357.343552 124.18872 \nL 359.146004 125.777362 \nL 360.680614 127.469796 \nL 361.947118 129.265197 \nL 362.945964 131.162334 \nL 363.678248 133.15956 \nL 364.145811 135.254801 \nL 364.351123 137.445557 \nL 364.297294 139.728894 \nL 363.98804 142.101443 \nL 363.427636 144.559403 \nL 362.62092 147.098548 \nL 361.57323 149.714232 \nL 360.290364 152.401396 \nL 358.365596 155.852522 \nL 356.09613 159.395286 \nL 353.495777 163.017306 \nL 350.579035 166.705369 \nL 347.36095 170.445506 \nL 343.85697 174.223061 \nL 339.296977 178.783993 \nL 334.375432 183.349472 \nL 329.119868 187.891321 \nL 323.557542 192.380779 \nL 317.715254 196.788744 \nL 311.619084 201.08606 \nL 305.294244 205.243768 \nL 298.764892 209.233374 \nL 292.054055 213.02717 \nL 286.338811 216.019792 \nL 280.524621 218.843105 \nL 274.622793 221.483066 \nL 268.644029 223.92645 \nL 262.598438 226.160983 \nL 256.495563 228.175369 \nL 250.344409 229.959419 \nL 244.153501 231.504123 \nL 237.930933 232.801696 \nL 231.684425 233.845638 \nL 225.42139 234.630813 \nL 219.149005 235.153449 \nL 212.874282 235.411171 \nL 206.604144 235.403032 \nL 200.345501 235.129538 \nL 194.105327 234.592609 \nL 187.890733 233.795585 \nL 181.709044 232.743185 \nL 175.567866 231.441468 \nL 169.475144 229.897835 \nL 163.439235 228.120905 \nL 157.468948 226.12049 \nL 151.573586 223.907503 \nL 145.763015 221.493919 \nL 140.047651 218.892622 \nL 134.438493 216.117366 \nL 128.947129 213.182638 \nL 123.585736 210.103583 \nL 117.341616 206.240314 \nL 111.326087 202.219689 \nL 105.563217 198.070213 \nL 100.077999 193.82071 \nL 94.896089 189.500068 \nL 90.043695 185.136938 \nL 85.547317 180.759504 \nL 81.433484 176.395207 \nL 78.316495 172.787452 \nL 75.498367 169.221902 \nL 72.993633 165.712577 \nL 70.816366 162.272751 \nL 68.979945 158.914887 \nL 67.764754 156.295428 \nL 66.78187 153.741367 \nL 66.036952 151.257819 \nL 65.535237 148.849485 \nL 65.281435 146.520653 \nL 65.279788 144.275181 \nL 65.533956 142.116499 \nL 66.047013 140.047601 \nL 66.821464 138.071045 \nL 67.859172 136.188963 \nL 69.161327 134.403056 \nL 70.728465 132.714603 \nL 72.560416 131.12448 \nL 74.656367 129.633166 \nL 77.014763 128.240747 \nL 79.633341 126.946957 \nL 82.509197 125.751179 \nL 85.638626 124.652466 \nL 89.900352 123.413642 \nL 94.541501 122.321464 \nL 99.550466 121.372284 \nL 104.914089 120.561925 \nL 111.797835 119.766229 \nL 119.143074 119.155168 \nL 126.919059 118.719632 \nL 136.490956 118.420819 \nL 146.547133 118.33314 \nL 158.555478 118.47269 \nL 171.022908 118.848243 \nL 185.474661 119.529725 \nL 200.23823 120.463813 \nL 215.167002 121.632962 \nL 230.114231 123.025146 \nL 244.935044 124.634086 \nL 257.888811 126.245585 \nL 270.535742 128.030786 \nL 282.784929 129.995568 \nL 293.109296 131.868478 \nL 303.010102 133.891734 \nL 311.121828 135.751078 \nL 318.857453 137.730872 \nL 326.190915 139.835729 \nL 333.09882 142.069986 \nL 338.515323 144.033517 \nL 343.611446 146.091484 \nL 348.378124 148.245366 \nL 352.807695 150.49616 \nL 356.893962 152.844316 \nL 360.63209 155.289665 \nL 363.369611 157.315381 \nL 365.881011 159.402008 \nL 368.165753 161.548463 \nL 370.223859 163.753335 \nL 372.055889 166.014872 \nL 373.662908 168.330971 \nL 375.046469 170.699173 \nL 376.208654 173.116652 \nL 377.151944 175.580221 \nL 377.879312 178.086324 \nL 378.394095 180.631043 \nL 378.700057 183.210103 \nL 378.801267 185.81887 \nL 378.702149 188.452371 \nL 378.407415 191.105301 \nL 377.922016 193.772034 \nL 377.055079 197.115816 \nL 375.908901 200.459709 \nL 374.494435 203.79089 \nL 372.822874 207.095994 \nL 370.905606 210.36115 \nL 368.754111 213.572109 \nL 366.379845 216.71431 \nL 363.794195 219.772971 \nL 361.008356 222.73319 \nL 358.033292 225.580054 \nL 354.879658 228.298739 \nL 351.557769 230.874589 \nL 348.07749 233.293265 \nL 344.448256 235.540811 \nL 340.678995 237.603776 \nL 336.778145 239.469308 \nL 332.753607 241.12525 \nL 328.612779 242.560231 \nL 324.362509 243.763755 \nL 320.009142 244.726286 \nL 315.558534 245.439321 \nL 311.016045 245.895432 \nL 306.386661 246.088365 \nL 301.674945 246.013037 \nL 296.885143 245.665614 \nL 292.021201 245.043572 \nL 287.08685 244.145609 \nL 282.085677 242.97177 \nL 277.021172 241.523364 \nL 271.89682 239.803014 \nL 266.716139 237.814615 \nL 261.482808 235.563305 \nL 256.200686 233.055406 \nL 250.873934 230.29842 \nL 245.507058 227.300962 \nL 239.020839 223.400255 \nL 232.493479 219.185776 \nL 225.935658 214.677971 \nL 219.359389 209.898947 \nL 211.681812 204.012188 \nL 204.021599 197.828112 \nL 196.405872 191.388289 \nL 188.864888 184.73578 \nL 180.381118 176.929012 \nL 172.093416 168.968606 \nL 164.061385 160.92128 \nL 156.348942 152.853029 \nL 149.915705 145.826913 \nL 143.825699 138.876061 \nL 138.126782 132.040692 \nL 132.867118 125.359063 \nL 128.744681 119.78168 \nL 125.009509 114.364973 \nL 121.690026 109.128709 \nL 119.260919 104.916197 \nL 117.154049 100.851373 \nL 115.383211 96.943116 \nL 113.961016 93.199498 \nL 113.081971 90.328023 \nL 112.438548 87.569872 \nL 112.035299 84.928002 \nL 111.876132 82.405035 \nL 111.964273 80.00326 \nL 112.302237 77.724617 \nL 112.891774 75.57073 \nL 113.7339 73.542887 \nL 114.828821 71.642082 \nL 116.175944 69.868978 \nL 117.773873 68.22399 \nL 119.62039 66.707244 \nL 121.712459 65.318607 \nL 124.046233 64.057705 \nL 126.617053 62.923956 \nL 129.419483 61.916571 \nL 132.447285 61.034575 \nL 136.538257 60.10667 \nL 140.955165 59.37037 \nL 145.681071 58.822912 \nL 150.697439 58.461285 \nL 155.984257 58.282326 \nL 162.655265 58.304165 \nL 169.645672 58.578792 \nL 176.91414 59.100702 \nL 184.417512 59.864561 \nL 192.111282 60.865393 \nL 199.949949 62.098602 \nL 207.887462 63.560061 \nL 215.877615 65.246175 \nL 223.874459 67.153861 \nL 231.832694 69.280561 \nL 239.708049 71.624193 \nL 247.457657 74.183093 \nL 255.04039 76.955958 \nL 261.203612 79.429354 \nL 267.202408 82.050036 \nL 273.016643 84.817464 \nL 278.627545 87.731026 \nL 284.017739 90.790009 \nL 289.171345 93.993493 \nL 294.07403 97.340313 \nL 298.713086 100.828968 \nL 302.227008 103.720758 \nL 305.560159 106.700947 \nL 308.70831 109.768144 \nL 311.667905 112.920734 \nL 314.436068 116.156832 \nL 317.010582 119.47429 \nL 319.389913 122.870669 \nL 321.573136 126.343229 \nL 323.559988 129.888906 \nL 325.35079 133.504304 \nL 326.946477 137.185677 \nL 328.348515 140.928931 \nL 329.558927 144.729612 \nL 330.580217 148.582898 \nL 331.415403 152.483603 \nL 332.067903 156.426173 \nL 332.541549 160.40469 \nL 332.888534 165.418792 \nL 332.971622 170.466203 \nL 332.80045 175.533075 \nL 332.385253 180.604775 \nL 331.736742 185.665943 \nL 330.865975 190.70055 \nL 329.784305 195.691963 \nL 328.503154 200.623046 \nL 327.034058 205.476211 \nL 325.388463 210.233542 \nL 323.577665 214.876899 \nL 321.612753 219.388008 \nL 319.5045 223.748576 \nL 317.26332 227.940432 \nL 314.899173 231.945621 \nL 312.421547 235.746532 \nL 309.839419 239.326048 \nL 307.161198 242.667634 \nL 304.394721 245.755492 \nL 301.547238 248.574646 \nL 298.625397 251.111096 \nL 295.635246 253.351886 \nL 293.197638 254.92368 \nL 290.722362 256.293242 \nL 288.211722 257.455657 \nL 285.667828 258.406569 \nL 283.092554 259.142249 \nL 280.487611 259.659544 \nL 277.854518 259.95594 \nL 275.194647 260.029559 \nL 272.509211 259.879196 \nL 269.799302 259.504266 \nL 267.065903 258.904851 \nL 264.309908 258.081702 \nL 261.532149 257.036201 \nL 258.733401 255.770394 \nL 255.914422 254.286937 \nL 252.363384 252.131606 \nL 248.783408 249.649079 \nL 245.176112 246.848478 \nL 241.543273 243.740207 \nL 237.886921 240.335948 \nL 233.471557 235.878236 \nL 229.030406 231.036898 \nL 224.569062 225.837953 \nL 220.09413 220.309049 \nL 214.866584 213.48042 \nL 209.645502 206.290159 \nL 203.708135 197.693234 \nL 197.830369 188.763383 \nL 192.045697 179.575909 \nL 186.391916 170.205467 \nL 180.910894 160.725155 \nL 175.64819 151.205714 \nL 170.65247 141.71481 \nL 165.974828 132.316441 \nL 162.184186 124.215927 \nL 158.713049 116.269385 \nL 156.018987 109.606782 \nL 153.607596 103.102613 \nL 151.500028 96.775232 \nL 149.716407 90.641387 \nL 148.491121 85.688625 \nL 147.513907 80.888657 \nL 146.793926 76.24859 \nL 146.339305 71.774786 \nL 146.157083 67.472866 \nL 146.211387 64.158405 \nL 146.446169 60.959291 \nL 146.863264 57.877447 \nL 147.463914 54.914527 \nL 148.24877 52.071957 \nL 149.217854 49.350917 \nL 150.370566 46.752343 \nL 151.705638 44.276981 \nL 153.221165 41.925387 \nL 154.914575 39.697917 \nL 156.782639 37.594773 \nL 158.821462 35.616019 \nL 161.026506 33.761583 \nL 163.392597 32.031261 \nL 165.913939 30.424752 \nL 168.584116 28.941703 \nL 172.120399 27.260805 \nL 175.863355 25.771122 \nL 179.796787 24.471619 \nL 183.903318 23.361187 \nL 188.164478 22.438773 \nL 192.560832 21.703332 \nL 197.072101 21.153917 \nL 201.677293 20.789685 \nL 206.35484 20.609903 \nL 212.032414 20.636878 \nL 217.743967 20.928005 \nL 223.45076 21.482999 \nL 228.174933 22.147106 \nL 232.846926 22.994688 \nL 237.445066 24.026126 \nL 241.94822 25.241916 \nL 246.335941 26.64266 \nL 250.588575 28.229021 \nL 254.687414 30.001718 \nL 258.614784 31.96145 \nL 262.354169 34.108891 \nL 265.890295 36.444605 \nL 268.563428 38.449051 \nL 271.091029 40.574404 \nL 273.467188 42.82072 \nL 275.686621 45.187926 \nL 277.744647 47.67582 \nL 279.637235 50.284037 \nL 281.360984 53.012056 \nL 282.913122 55.859177 \nL 284.291532 58.824506 \nL 285.49473 61.906918 \nL 286.521845 65.105048 \nL 287.372637 68.417295 \nL 288.047439 71.84179 \nL 288.547188 75.376406 \nL 288.873358 79.018692 \nL 289.040133 83.718775 \nL 288.943966 88.576784 \nL 288.591081 93.585904 \nL 287.988756 98.738511 \nL 287.145241 104.026151 \nL 286.069637 109.43954 \nL 284.771775 114.968528 \nL 282.935755 121.740367 \nL 280.813844 128.642205 \nL 278.425903 135.65172 \nL 275.792284 142.74493 \nL 272.436751 151.091908 \nL 268.807597 159.474722 \nL 264.937026 167.847639 \nL 260.85627 176.162693 \nL 256.595218 184.370061 \nL 252.182071 192.418465 \nL 247.643098 200.255662 \nL 243.002427 207.828956 \nL 238.281928 215.08576 \nL 234.187144 221.01461 \nL 230.059097 226.640884 \nL 225.907549 231.933701 \nL 221.741108 236.863482 \nL 218.263154 240.674081 \nL 214.783926 244.197965 \nL 211.306817 247.421007 \nL 207.834833 250.330216 \nL 204.370649 252.913868 \nL 200.916664 255.161565 \nL 198.162288 256.711768 \nL 195.416877 258.037308 \nL 192.68143 259.134908 \nL 189.95692 260.001955 \nL 187.244324 260.636546 \nL 184.544628 261.037405 \nL 181.858863 261.203965 \nL 179.18812 261.13636 \nL 176.533566 260.835412 \nL 173.896465 260.30261 \nL 171.278207 259.54015 \nL 168.680313 258.550893 \nL 166.104456 257.338335 \nL 163.552467 255.906623 \nL 161.026375 254.26052 \nL 158.528392 252.405357 \nL 155.449156 249.801506 \nL 152.422852 246.892978 \nL 149.455248 243.693688 \nL 146.552667 240.2186 \nL 143.722031 236.483664 \nL 140.970823 232.505663 \nL 138.307129 228.302122 \nL 135.739567 223.891155 \nL 132.798334 218.350344 \nL 130.025535 212.570289 \nL 127.438896 206.584075 \nL 125.05693 200.424857 \nL 122.898792 194.125585 \nL 121.285445 188.792634 \nL 119.852628 183.403355 \nL 118.611848 177.975675 \nL 117.574517 172.526983 \nL 116.751897 167.074036 \nL 116.154963 161.632903 \nL 115.794292 156.218896 \nL 115.679945 150.846521 \nL 115.821333 145.52944 \nL 116.227155 140.280432 \nL 116.747507 136.138255 \nL 117.445696 132.052931 \nL 118.324866 128.029745 \nL 119.387694 124.073612 \nL 120.636351 120.189064 \nL 122.072512 116.380282 \nL 123.697259 112.651078 \nL 125.511116 109.004914 \nL 127.513997 105.444916 \nL 129.705207 101.973885 \nL 132.083389 98.594303 \nL 134.646538 95.308375 \nL 137.391994 92.118002 \nL 140.316408 89.024858 \nL 143.415772 86.030349 \nL 146.685387 83.135685 \nL 150.119886 80.341863 \nL 154.635608 76.992647 \nL 159.38625 73.803559 \nL 164.357011 70.775575 \nL 169.531588 67.909431 \nL 174.892252 65.205686 \nL 180.419918 62.664782 \nL 186.094238 60.28709 \nL 191.89373 58.07301 \nL 197.795866 56.022948 \nL 204.980864 53.78014 \nL 212.237946 51.775447 \nL 219.523934 50.010366 \nL 226.794787 48.486801 \nL 234.005992 47.207081 \nL 241.112963 46.173987 \nL 248.071459 45.39068 \nL 254.837985 44.860765 \nL 261.37021 44.588148 \nL 267.627358 44.576998 \nL 272.603435 44.770542 \nL 277.340214 45.151174 \nL 281.817691 45.72141 \nL 286.017231 46.483666 \nL 289.921694 47.440228 \nL 293.515553 48.593186 \nL 296.15765 49.658214 \nL 298.585808 50.850925 \nL 300.794499 52.171984 \nL 302.778979 53.621886 \nL 304.53528 55.200951 \nL 306.0602 56.909292 \nL 307.351344 58.746823 \nL 308.407117 60.713215 \nL 309.226696 62.807892 \nL 309.810035 65.030031 \nL 310.157866 67.378551 \nL 310.271653 69.852072 \nL 310.15359 72.448936 \nL 309.806571 75.167161 \nL 309.234173 78.004518 \nL 308.440594 80.958423 \nL 307.144962 84.810273 \nL 305.521914 88.83339 \nL 303.583334 93.020681 \nL 301.342212 97.364277 \nL 298.273272 102.770732 \nL 294.814603 108.373502 \nL 290.993331 114.154762 \nL 286.11449 121.099372 \nL 280.826238 128.227644 \nL 274.340585 136.553662 \nL 267.449309 145.017023 \nL 260.219464 153.558201 \nL 251.761162 163.182425 \nL 243.041701 172.734428 \nL 235.135781 181.088427 \nL 227.136079 189.24425 \nL 219.087394 197.135286 \nL 211.029119 204.695951 \nL 203.997161 210.990326 \nL 197.003617 216.941887 \nL 191.052539 221.740784 \nL 185.151157 226.236085 \nL 179.307326 230.406293 \nL 173.527808 234.23169 \nL 168.764909 237.143246 \nL 164.053725 239.793812 \nL 159.396941 242.175356 \nL 154.797033 244.280953 \nL 150.256351 246.10489 \nL 145.777181 247.642748 \nL 141.361788 248.891331 \nL 137.012554 249.848778 \nL 132.731997 250.51455 \nL 129.358816 250.837655 \nL 126.032857 250.975576 \nL 122.755775 250.92988 \nL 119.529367 250.70263 \nL 116.355622 250.296458 \nL 113.236689 249.714444 \nL 110.174924 248.960211 \nL 106.432017 247.781483 \nL 102.787885 246.349009 \nL 99.248541 244.672779 \nL 95.820548 242.763773 \nL 92.511064 240.633823 \nL 89.327761 238.295549 \nL 86.278893 235.762269 \nL 83.373252 233.047905 \nL 80.62009 230.166867 \nL 78.029181 227.133941 \nL 75.610679 223.964202 \nL 73.375124 220.672904 \nL 71.333368 217.275354 \nL 69.496501 213.78684 \nL 67.87574 210.222508 \nL 66.482403 206.597274 \nL 65.327786 202.925724 \nL 64.423096 199.222037 \nL 63.779319 195.499894 \nL 63.407157 191.772411 \nL 63.311905 188.794996 \nL 63.402104 185.828248 \nL 63.682557 182.877943 \nL 64.157792 179.949539 \nL 64.832017 177.048171 \nL 65.709107 174.178638 \nL 66.792572 171.34539 \nL 68.085511 168.552531 \nL 69.590611 165.803813 \nL 71.310078 163.102635 \nL 73.245651 160.452043 \nL 75.398564 157.854742 \nL 77.769503 155.313097 \nL 80.358662 152.82914 \nL 83.165619 150.404589 \nL 86.189402 148.040853 \nL 90.271599 145.173387 \nL 94.685689 142.404269 \nL 99.425829 139.734483 \nL 104.484668 137.164464 \nL 109.853356 134.69417 \nL 115.521557 132.323147 \nL 121.477505 130.050614 \nL 128.985694 127.452102 \nL 136.86357 124.991772 \nL 145.082839 122.667311 \nL 153.612524 120.476417 \nL 163.911434 118.086374 \nL 174.530227 115.872522 \nL 185.408057 113.83311 \nL 196.480733 111.967657 \nL 209.28779 110.050096 \nL 222.158341 108.365324 \nL 234.986347 106.920567 \nL 247.664447 105.726102 \nL 260.085289 104.795151 \nL 270.659099 104.209139 \nL 280.885395 103.849017 \nL 290.697179 103.72783 \nL 300.03047 103.859299 \nL 307.60379 104.183692 \nL 314.745815 104.712739 \nL 321.423768 105.454901 \nL 326.612652 106.241936 \nL 331.442889 107.186764 \nL 335.900495 108.293189 \nL 339.973168 109.564527 \nL 342.946997 110.702173 \nL 345.663081 111.948196 \nL 348.11761 113.303376 \nL 350.307499 114.768178 \nL 352.230415 116.34274 \nL 353.884803 118.026828 \nL 355.269862 119.819833 \nL 356.385524 121.720763 \nL 357.232475 123.728217 \nL 357.812098 125.840388 \nL 358.126498 128.055049 \nL 358.178429 130.369541 \nL 357.971333 132.780787 \nL 357.509235 135.285276 \nL 356.796754 137.879073 \nL 355.839081 140.557821 \nL 354.641875 143.316748 \nL 352.817939 146.870239 \nL 350.642331 150.529926 \nL 348.128907 154.283928 \nL 345.29228 158.119495 \nL 342.147701 162.023079 \nL 338.710951 165.98039 \nL 334.22388 170.778996 \nL 329.367552 175.606492 \nL 324.170379 180.434969 \nL 318.660647 185.23576 \nL 312.866226 189.979686 \nL 306.814339 194.63731 \nL 300.531368 199.17921 \nL 294.042651 203.576234 \nL 287.372369 207.799762 \nL 280.543429 211.822012 \nL 274.747064 215.000815 \nL 268.867303 218.006517 \nL 262.915253 220.8251 \nL 256.901391 223.443413 \nL 250.835574 225.849227 \nL 244.727071 228.031355 \nL 238.584615 229.979725 \nL 232.416434 231.685401 \nL 226.230331 233.140732 \nL 220.033734 234.33935 \nL 213.833768 235.276252 \nL 207.637327 235.947781 \nL 201.451146 236.351722 \nL 195.281877 236.487278 \nL 189.136175 236.355096 \nL 183.02076 235.957203 \nL 176.942498 235.297073 \nL 170.908475 234.379556 \nL 164.926069 233.210844 \nL 159.002998 231.798428 \nL 153.147379 230.151032 \nL 147.367792 228.278548 \nL 141.673306 226.191978 \nL 136.073518 223.903332 \nL 130.578587 221.425547 \nL 125.199231 218.772378 \nL 119.946737 215.95832 \nL 114.832949 212.998504 \nL 109.870255 209.908551 \nL 104.132687 206.051432 \nL 98.654489 202.058288 \nL 93.459682 197.957669 \nL 88.572952 193.778215 \nL 84.019488 189.548306 \nL 79.824716 185.295847 \nL 76.621404 181.754522 \nL 73.699437 178.231604 \nL 71.073141 174.741727 \nL 68.756488 171.298861 \nL 66.762993 167.916257 \nL 65.10553 164.606355 \nL 64.029702 162.01859 \nL 63.18258 159.490288 \nL 62.569616 157.026566 \nL 62.195831 154.632134 \nL 62.065797 152.311288 \nL 62.183586 150.067902 \nL 62.55274 147.90542 \nL 63.176269 145.826859 \nL 64.056594 143.834802 \nL 65.195512 141.931405 \nL 66.594211 140.1184 \nL 68.253229 138.397104 \nL 70.172464 136.768427 \nL 72.351125 135.232886 \nL 74.78775 133.79062 \nL 77.480223 132.441403 \nL 80.42572 131.184664 \nL 84.45801 129.742404 \nL 88.871871 128.440833 \nL 93.657379 127.276894 \nL 98.80309 126.246953 \nL 104.296003 125.346873 \nL 111.325447 124.43177 \nL 118.806504 123.688647 \nL 126.70899 123.108599 \nL 136.417547 122.625806 \nL 146.599636 122.338069 \nL 158.740181 122.230074 \nL 171.328918 122.338939 \nL 185.906122 122.699026 \nL 200.785467 123.291013 \nL 215.822095 124.099559 \nL 230.870575 125.115101 \nL 245.786834 126.334028 \nL 260.430039 127.758584 \nL 273.107066 129.203545 \nL 285.370024 130.825419 \nL 295.692831 132.398147 \nL 305.579053 134.122932 \nL 314.97883 136.008721 \nL 322.613977 137.760183 \nL 329.832189 139.642269 \nL 336.610095 141.660263 \nL 341.907048 143.449176 \nL 346.873458 145.338116 \nL 351.500258 147.32899 \nL 355.779889 149.423183 \nL 359.706179 151.621494 \nL 363.274392 153.924062 \nL 365.868903 155.840818 \nL 368.231061 157.823295 \nL 370.360421 159.87051 \nL 372.257097 161.981136 \nL 373.921717 164.15349 \nL 375.355472 166.38552 \nL 376.560041 168.674801 \nL 377.537632 171.01853 \nL 378.290885 173.413526 \nL 378.822899 175.856224 \nL 379.137218 178.34268 \nL 379.237742 180.868583 \nL 379.128757 183.429252 \nL 378.814861 186.019656 \nL 378.300969 188.634411 \nL 377.592261 191.267819 \nL 376.440641 194.576603 \nL 375.004062 197.892716 \nL 373.29389 201.203116 \nL 371.321787 204.49418 \nL 369.099587 207.751808 \nL 366.639238 210.961465 \nL 363.952653 214.108307 \nL 361.051666 217.177262 \nL 357.94794 220.153138 \nL 354.652897 223.020707 \nL 351.177638 225.764844 \nL 347.532922 228.370586 \nL 343.729063 230.823287 \nL 339.775905 233.108701 \nL 335.682846 235.213066 \nL 331.458747 237.12325 \nL 327.111955 238.826827 \nL 322.650267 240.312153 \nL 318.081001 241.568493 \nL 313.410926 242.586063 \nL 308.646352 243.356121 \nL 303.793151 243.871087 \nL 298.856766 244.124479 \nL 293.842289 244.111089 \nL 288.754489 243.826977 \nL 283.597877 243.269458 \nL 278.376796 242.437188 \nL 273.095438 241.330139 \nL 267.757952 239.94964 \nL 262.368521 238.298312 \nL 256.931404 236.380069 \nL 251.451047 234.200119 \nL 245.932132 231.764891 \nL 240.379674 229.082019 \nL 234.799077 226.16027 \nL 229.196209 223.009491 \nL 222.452425 218.941604 \nL 215.698015 214.580132 \nL 208.946533 209.947393 \nL 202.213003 205.067236 \nL 195.514017 199.964868 \nL 187.766574 193.766441 \nL 180.122752 187.344784 \nL 172.617349 180.74444 \nL 165.288118 174.010672 \nL 158.175553 167.188989 \nL 151.322603 160.324688 \nL 144.774328 153.46242 \nL 138.577377 146.645764 \nL 132.779435 139.916835 \nL 128.163851 134.2496 \nL 123.906961 128.700568 \nL 120.038434 123.292537 \nL 116.587094 118.046875 \nL 114.049603 113.813866 \nL 111.836126 109.717998 \nL 109.960888 105.769053 \nL 108.436992 101.975939 \nL 107.478918 99.059092 \nL 106.758857 96.25087 \nL 106.281701 93.554621 \nL 106.051715 90.973343 \nL 106.072501 88.509657 \nL 106.346963 86.165839 \nL 106.877251 83.943793 \nL 107.664782 81.845099 \nL 108.710173 79.87099 \nL 110.013277 78.022363 \nL 111.573109 76.299821 \nL 113.387886 74.703647 \nL 115.455025 73.233863 \nL 117.77106 71.890196 \nL 120.331784 70.672165 \nL 123.132144 69.579011 \nL 126.166303 68.609812 \nL 129.427658 67.763434 \nL 133.812564 66.876205 \nL 138.524972 66.176036 \nL 143.547263 65.65983 \nL 148.860252 65.324274 \nL 154.443308 65.165932 \nL 161.468487 65.20488 \nL 168.810758 65.487868 \nL 176.42792 66.008936 \nL 184.276051 66.762398 \nL 192.309926 67.742924 \nL 200.483434 68.945651 \nL 208.749959 70.366268 \nL 217.062803 72.000991 \nL 225.375579 73.84666 \nL 233.642602 75.90068 \nL 241.819255 78.160992 \nL 249.862371 80.626015 \nL 257.730525 83.294603 \nL 264.125236 85.6733 \nL 270.349581 88.192344 \nL 276.383307 90.851363 \nL 282.207472 93.649936 \nL 287.804579 96.587559 \nL 293.158615 99.663533 \nL 298.255127 102.87694 \nL 303.081259 106.226545 \nL 307.625789 109.710723 \nL 311.052169 112.593591 \nL 314.288027 115.559987 \nL 317.329921 118.60837 \nL 320.175066 121.736962 \nL 322.821347 124.943707 \nL 325.267313 128.226258 \nL 327.512152 131.581959 \nL 329.555703 135.007831 \nL 331.398367 138.500568 \nL 333.041161 142.056513 \nL 334.485663 145.671656 \nL 335.733965 149.341628 \nL 336.788664 153.061699 \nL 337.652834 156.82677 \nL 338.329996 160.631379 \nL 338.824063 164.469705 \nL 339.139331 168.335569 \nL 339.289019 173.196651 \nL 339.176193 178.077061 \nL 338.811143 182.962543 \nL 338.204605 187.838117 \nL 337.367727 192.688138 \nL 336.311896 197.496369 \nL 335.048673 202.246049 \nL 333.589685 206.919989 \nL 331.946525 211.500683 \nL 330.130616 215.970368 \nL 328.153196 220.31117 \nL 326.02522 224.5052 \nL 323.757217 228.534658 \nL 321.359352 232.381992 \nL 318.841297 236.029963 \nL 316.212178 239.461825 \nL 313.480602 242.661391 \nL 310.654579 245.613196 \nL 307.741519 248.302604 \nL 304.748241 250.715896 \nL 302.300045 252.439178 \nL 299.807396 253.971652 \nL 297.272963 255.307854 \nL 294.699176 256.442834 \nL 292.088241 257.372209 \nL 289.442165 258.092134 \nL 286.762755 258.599405 \nL 284.051617 258.89139 \nL 281.310197 258.966098 \nL 278.539793 258.822155 \nL 275.741553 258.458827 \nL 272.916514 257.876034 \nL 270.065629 257.074325 \nL 267.189745 256.054878 \nL 264.289673 254.819526 \nL 261.366191 253.370695 \nL 257.680072 251.26416 \nL 253.960064 248.836088 \nL 250.207764 246.095077 \nL 246.424934 243.051056 \nL 242.613558 239.715155 \nL 238.005452 235.344141 \nL 233.364156 230.593735 \nL 228.695161 225.489043 \nL 224.004984 220.056853 \nL 218.516619 213.343031 \nL 213.024201 206.268515 \nL 206.763853 197.803529 \nL 200.549494 189.003788 \nL 194.414955 179.943265 \nL 188.3986 170.695552 \nL 181.824797 160.158054 \nL 176.206326 150.749934 \nL 170.852065 141.372666 \nL 165.815222 132.08974 \nL 161.711564 124.09146 \nL 157.9304 116.248164 \nL 154.50901 108.594265 \nL 151.890495 102.208524 \nL 149.58543 96.003323 \nL 147.615043 89.995235 \nL 146.243075 85.149912 \nL 145.127967 80.459707 \nL 144.279427 75.931666 \nL 143.706138 71.572085 \nL 143.41564 67.386539 \nL 143.391127 64.166668 \nL 143.554278 61.063471 \nL 143.907128 58.078828 \nL 144.451107 55.214358 \nL 145.187033 52.471461 \nL 146.115076 49.851262 \nL 147.234763 47.354672 \nL 148.544944 44.9824 \nL 150.043784 42.734942 \nL 151.728773 40.612626 \nL 153.596734 38.615584 \nL 155.643789 36.743826 \nL 157.865401 34.997209 \nL 160.256354 33.375487 \nL 162.810807 31.878268 \nL 165.522277 30.505137 \nL 169.121564 28.962408 \nL 172.939947 27.611602 \nL 176.960972 26.451515 \nL 181.166945 25.480882 \nL 185.53904 24.698469 \nL 190.057427 24.103075 \nL 194.701389 23.69359 \nL 199.449476 23.46898 \nL 204.279619 23.428367 \nL 210.152376 23.621504 \nL 216.071374 24.077641 \nL 221.99688 24.796211 \nL 227.889275 25.77702 \nL 232.746061 26.794803 \nL 237.530471 27.99505 \nL 242.220873 29.378171 \nL 246.796324 30.94466 \nL 251.236729 32.695093 \nL 255.522937 34.630065 \nL 259.636865 36.750176 \nL 263.56162 39.055958 \nL 267.281574 41.547837 \nL 270.100433 43.675537 \nL 272.7724 45.92257 \nL 275.291438 48.288882 \nL 277.652098 50.774278 \nL 279.84959 53.378457 \nL 281.879758 56.100915 \nL 283.739098 58.941005 \nL 285.424751 61.897867 \nL 286.934493 64.97044 \nL 288.266757 68.157395 \nL 289.420607 71.45719 \nL 290.395717 74.86802 \nL 291.192377 78.387785 \nL 291.811452 82.014091 \nL 292.254376 85.744257 \nL 292.523122 89.575265 \nL 292.617963 94.500733 \nL 292.450507 99.571291 \nL 292.027752 104.778839 \nL 291.357689 110.114434 \nL 290.449197 115.568243 \nL 289.31192 121.129577 \nL 287.956159 126.786868 \nL 286.056134 133.684728 \nL 283.876649 140.67975 \nL 281.437829 147.747161 \nL 278.76014 154.860578 \nL 275.864138 161.992114 \nL 272.236727 170.296029 \nL 268.371596 178.536171 \nL 264.2993 186.662106 \nL 260.048913 194.621949 \nL 255.647709 202.362888 \nL 251.120938 209.83167 \nL 247.158476 215.976625 \nL 243.133981 221.849657 \nL 239.059449 227.418523 \nL 234.945649 232.652006 \nL 230.802174 237.520221 \nL 227.33276 241.277633 \nL 223.852991 244.746459 \nL 220.366757 247.912417 \nL 216.877531 250.762425 \nL 213.388415 253.284643 \nL 210.599085 255.059324 \nL 207.812924 256.612813 \nL 205.03115 257.941027 \nL 202.254921 259.040531 \nL 199.485344 259.908544 \nL 196.723504 260.542966 \nL 193.97048 260.942382 \nL 191.227372 261.10609 \nL 188.495308 261.034057 \nL 185.775486 260.726955 \nL 183.069175 260.186165 \nL 180.377748 259.413742 \nL 177.70268 258.412449 \nL 175.045593 257.185687 \nL 172.408264 255.737503 \nL 169.792625 254.07259 \nL 167.200795 252.196209 \nL 163.998032 249.562328 \nL 160.841071 246.619829 \nL 157.735424 243.382547 \nL 154.687151 239.865421 \nL 151.702894 236.0844 \nL 148.789868 232.05631 \nL 145.955876 227.798713 \nL 143.209288 223.329789 \nL 140.041357 217.714474 \nL 137.028584 211.85473 \nL 134.188384 205.783946 \nL 131.539055 199.535639 \nL 129.099624 193.143146 \nL 126.889698 186.63936 \nL 124.929223 180.056466 \nL 123.50055 174.532863 \nL 122.27065 168.993505 \nL 121.250967 163.455222 \nL 120.452671 157.934137 \nL 119.886597 152.445608 \nL 119.563039 147.004178 \nL 119.491716 141.623534 \nL 119.681673 136.316475 \nL 120.027264 132.131832 \nL 120.549056 128.007582 \nL 121.250389 123.949008 \nL 122.134156 119.961022 \nL 123.202735 116.04816 \nL 124.458001 112.214584 \nL 125.901274 108.464106 \nL 127.533303 104.800168 \nL 129.354237 101.225886 \nL 131.363602 97.744042 \nL 133.560288 94.357109 \nL 135.942541 91.067259 \nL 138.507936 87.876372 \nL 141.253369 84.786079 \nL 144.175073 81.79776 \nL 147.268589 78.912581 \nL 150.528795 76.131489 \nL 153.949882 73.455277 \nL 158.442589 70.25843 \nL 163.162509 67.227311 \nL 168.094092 64.362576 \nL 173.220314 61.664658 \nL 178.522779 59.133867 \nL 183.981789 56.770406 \nL 189.576469 54.574481 \nL 195.284873 52.546284 \nL 202.252766 50.334294 \nL 209.3103 48.36498 \nL 216.41504 46.639378 \nL 223.52358 45.158897 \nL 230.591941 43.925351 \nL 237.575963 42.941 \nL 244.431714 42.208517 \nL 251.115902 41.730957 \nL 257.586283 41.511758 \nL 263.802044 41.55462 \nL 268.759176 41.793338 \nL 273.49097 42.219055 \nL 277.977228 42.834074 \nL 282.199074 43.640654 \nL 286.139067 44.640937 \nL 289.781318 45.836899 \nL 292.471128 46.935765 \nL 294.954756 48.161783 \nL 297.22644 49.515608 \nL 299.281179 50.997737 \nL 301.114707 52.608505 \nL 302.723561 54.348055 \nL 304.105041 56.216351 \nL 305.257239 58.213109 \nL 306.179011 60.337834 \nL 306.869986 62.58979 \nL 307.330552 64.967969 \nL 307.561841 67.471095 \nL 307.5657 70.097617 \nL 307.344678 72.845686 \nL 306.902 75.713176 \nL 306.241524 78.697651 \nL 305.116492 82.588537 \nL 303.668131 86.651851 \nL 301.907669 90.880777 \nL 299.847471 95.267749 \nL 297.500925 99.80442 \nL 294.327197 105.433156 \nL 290.787642 111.247187 \nL 286.909379 117.227884 \nL 281.993911 124.389176 \nL 276.70049 131.715757 \nL 270.245965 140.244389 \nL 263.42322 148.883109 \nL 256.296613 157.570758 \nL 247.992116 167.323328 \nL 239.461706 176.963171 \nL 231.74932 185.359813 \nL 223.963324 193.523823 \nL 216.144882 201.387778 \nL 209.30544 207.970525 \nL 202.489446 214.229835 \nL 195.71479 220.124427 \nL 189.95245 224.856971 \nL 184.239875 229.269771 \nL 178.584097 233.341458 \nL 172.991135 237.052501 \nL 168.382092 239.856901 \nL 163.822956 242.389791 \nL 159.31614 244.643395 \nL 154.86389 246.611159 \nL 150.468374 248.287753 \nL 146.131718 249.669173 \nL 141.856117 250.752719 \nL 138.481147 251.404136 \nL 135.148001 251.863965 \nL 131.858051 252.132722 \nL 128.612789 252.21145 \nL 125.413845 252.101762 \nL 122.262995 251.805809 \nL 119.162202 251.326284 \nL 116.113608 250.666392 \nL 113.119553 249.829844 \nL 110.182596 248.820838 \nL 106.59594 247.324222 \nL 103.10879 245.575559 \nL 99.727606 243.58593 \nL 96.459466 241.367324 \nL 93.312029 238.932601 \nL 90.293517 236.295292 \nL 87.4127 233.469602 \nL 84.678837 230.470241 \nL 82.101728 227.312333 \nL 79.691584 224.011311 \nL 77.459002 220.582814 \nL 75.414914 217.042556 \nL 73.570535 213.406257 \nL 71.937219 209.689498 \nL 70.526435 205.907653 \nL 69.349672 202.075778 \nL 68.418318 198.208532 \nL 67.743568 194.320081 \nL 67.336374 190.42404 \nL 67.210342 187.310483 \nL 67.267464 184.20672 \nL 67.512668 181.118776 \nL 67.950618 178.052364 \nL 68.585648 175.012873 \nL 69.421806 172.005346 \nL 70.462727 169.034483 \nL 71.711658 166.104634 \nL 73.171413 163.219792 \nL 74.844323 160.383594 \nL 76.732263 157.599325 \nL 78.836584 154.869917 \nL 81.158084 152.197964 \nL 83.69705 149.585723 \nL 86.45314 147.035128 \nL 89.425472 144.547803 \nL 92.612525 142.125076 \nL 96.895004 139.189085 \nL 101.50415 136.357138 \nL 106.432921 133.630147 \nL 111.672741 131.008515 \nL 117.213549 128.492214 \nL 123.043723 126.080846 \nL 129.150154 123.773733 \nL 136.821969 121.141545 \nL 144.842832 118.656406 \nL 153.182159 116.316447 \nL 161.806794 114.119888 \nL 170.681111 112.065204 \nL 181.299497 109.845974 \nL 192.142747 107.817649 \nL 203.144266 105.980769 \nL 214.234923 104.33738 \nL 225.343653 102.891149 \nL 237.968662 101.486704 \nL 248.871866 100.483215 \nL 259.564825 99.699368 \nL 269.975847 99.145494 \nL 280.034968 98.833149 \nL 289.674689 98.774829 \nL 297.554663 98.936935 \nL 305.040962 99.303659 \nL 312.097772 99.883303 \nL 317.626392 100.534795 \nL 322.816134 101.344125 \nL 327.650966 102.31537 \nL 332.11645 103.452192 \nL 336.199893 104.75778 \nL 339.184151 105.92554 \nL 341.912102 107.204046 \nL 344.379746 108.594052 \nL 346.583824 110.096005 \nL 348.521889 111.710023 \nL 350.192226 113.435882 \nL 351.593921 115.272974 \nL 352.726802 117.220325 \nL 353.591452 119.276566 \nL 354.189175 121.439918 \nL 354.521994 123.708189 \nL 354.592642 126.078772 \nL 354.40448 128.548635 \nL 353.961522 131.11432 \nL 353.268352 133.771952 \nL 352.330138 136.517233 \nL 351.152575 139.345457 \nL 349.35345 142.989547 \nL 347.202996 146.744369 \nL 344.715126 150.598158 \nL 341.904556 154.53828 \nL 338.786652 158.551286 \nL 335.377307 162.622981 \nL 330.924286 167.565496 \nL 326.103551 172.544238 \nL 320.943788 177.531347 \nL 315.473571 182.49815 \nL 309.721071 187.415405 \nL 303.713791 192.253539 \nL 297.478395 196.98293 \nL 291.040494 201.57414 \nL 284.424516 205.9982 \nL 277.653579 210.226892 \nL 270.749452 214.232992 \nL 264.909011 217.382602 \nL 259.0013 220.345349 \nL 253.036708 223.107844 \nL 247.024989 225.657596 \nL 240.97529 227.983153 \nL 234.896212 230.074137 \nL 228.795835 231.921356 \nL 222.681795 233.516813 \nL 216.561337 234.853856 \nL 210.44139 235.92712 \nL 204.328638 236.732646 \nL 198.229589 237.267892 \nL 192.150656 237.531716 \nL 186.09824 237.52441 \nL 180.078798 237.247736 \nL 174.098913 236.704821 \nL 168.165392 235.900207 \nL 162.285299 234.839793 \nL 156.466038 233.530787 \nL 150.715407 231.981638 \nL 145.041661 230.202006 \nL 139.45353 228.202645 \nL 133.960268 225.995357 \nL 128.571669 223.592891 \nL 123.298097 221.008845 \nL 118.150482 218.257557 \nL 113.140316 215.35402 \nL 108.279632 212.313771 \nL 103.580984 209.152773 \nL 98.174874 205.223107 \nL 93.044187 201.171479 \nL 88.212979 197.026505 \nL 83.705831 192.816672 \nL 80.2154 189.279204 \nL 76.981777 185.732107 \nL 74.019404 182.190864 \nL 71.342526 178.670441 \nL 68.965105 175.185203 \nL 66.900687 171.748826 \nL 65.162332 168.37423 \nL 64.014759 165.727191 \nL 63.089797 163.133235 \nL 62.393094 160.597766 \nL 61.929898 158.1258 \nL 61.705046 155.721941 \nL 61.722883 153.390382 \nL 61.987283 151.134893 \nL 62.501598 148.958818 \nL 63.268629 146.865072 \nL 64.29057 144.856144 \nL 65.569034 142.934098 \nL 67.105005 141.100581 \nL 68.898836 139.356829 \nL 70.950219 137.70368 \nL 73.25817 136.141588 \nL 75.82109 134.670632 \nL 78.636645 133.290546 \nL 81.701863 132.000715 \nL 85.878833 130.513935 \nL 90.431566 129.164316 \nL 95.349886 127.948801 \nL 100.622087 126.86379 \nL 107.397134 125.728285 \nL 114.637161 124.767085 \nL 122.313829 123.971885 \nL 131.78044 123.242395 \nL 141.74608 122.713124 \nL 152.153741 122.370366 \nL 164.511918 122.190323 \nL 177.274002 122.219098 \nL 191.99181 122.482107 \nL 206.952999 122.972852 \nL 222.011992 123.679587 \nL 237.023119 124.596444 \nL 251.842563 125.723503 \nL 264.741109 126.906344 \nL 277.28264 128.267219 \nL 289.376823 129.816306 \nL 299.525285 131.335778 \nL 309.212993 133.017888 \nL 317.112752 134.596405 \nL 324.609656 136.307491 \nL 331.677951 138.15698 \nL 338.29461 140.150286 \nL 343.448827 141.924708 \nL 348.265172 143.804676 \nL 352.734909 145.792042 \nL 356.850755 147.888105 \nL 360.606924 150.093531 \nL 363.349922 151.936622 \nL 365.858373 153.849348 \nL 368.131315 155.831025 \nL 370.168372 157.880628 \nL 371.969749 159.996777 \nL 373.53619 162.177727 \nL 374.869009 164.421355 \nL 375.970002 166.725157 \nL 376.841512 169.086243 \nL 377.486352 171.501336 \nL 377.907747 173.966769 \nL 378.1094 176.478494 \nL 378.095383 179.03208 \nL 377.870142 181.622723 \nL 377.438457 184.245265 \nL 376.805405 186.894195 \nL 375.976347 189.563675 \nL 374.672901 192.920006 \nL 373.083261 196.286136 \nL 371.219137 199.648733 \nL 369.092521 202.993897 \nL 366.715591 206.307224 \nL 364.100603 209.57389 \nL 361.25978 212.778773 \nL 358.205263 215.9065 \nL 354.949002 218.941599 \nL 351.502682 221.868578 \nL 347.877666 224.672031 \nL 344.084955 227.336757 \nL 340.135078 229.847862 \nL 336.038132 232.190856 \nL 331.803697 234.351811 \nL 327.440829 236.317352 \nL 322.95807 238.074879 \nL 318.363421 239.612605 \nL 313.66435 240.919636 \nL 308.867837 241.98609 \nL 303.980358 242.803146 \nL 299.007952 243.363108 \nL 293.956259 243.659486 \nL 288.830534 243.687046 \nL 283.635756 243.441819 \nL 278.376653 242.921185 \nL 273.057776 242.123842 \nL 267.68356 241.049834 \nL 262.258399 239.700569 \nL 256.786732 238.078793 \nL 251.273113 236.188597 \nL 245.722283 234.035321 \nL 240.13924 231.62558 \nL 234.529331 228.967212 \nL 228.898315 226.069201 \nL 223.252426 222.94162 \nL 216.467316 218.90119 \nL 209.683458 214.56718 \nL 202.915101 209.962342 \nL 196.177975 205.110983 \nL 189.489368 200.03877 \nL 181.772626 193.87783 \nL 174.180535 187.496785 \nL 166.748885 180.940813 \nL 159.516307 174.255766 \nL 152.524051 167.487652 \nL 145.815678 160.682199 \nL 139.436631 153.884382 \nL 133.433748 147.137994 \nL 128.62392 141.428356 \nL 124.155572 135.812999 \nL 120.058569 130.31616 \nL 116.362173 124.960711 \nL 113.608337 120.621321 \nL 111.168053 116.40653 \nL 109.056255 112.327057 \nL 107.286869 108.392773 \nL 105.87278 104.612695 \nL 105.00518 101.705141 \nL 104.377787 98.905217 \nL 103.995324 96.216306 \nL 103.861895 93.641395 \nL 103.980929 91.183115 \nL 104.35516 88.843734 \nL 104.986566 86.625146 \nL 105.876405 84.52891 \nL 107.02511 82.556226 \nL 108.43235 80.70798 \nL 110.096982 78.984725 \nL 112.017039 77.386723 \nL 114.189755 75.913928 \nL 116.611516 74.566054 \nL 119.277921 73.342551 \nL 122.183744 72.24264 \nL 125.323011 71.26532 \nL 129.565003 70.214275 \nL 134.146303 69.350301 \nL 139.050337 68.670439 \nL 144.258904 68.17144 \nL 149.75228 67.849885 \nL 156.690444 67.693287 \nL 163.969334 67.780969 \nL 171.547742 68.106792 \nL 179.382553 68.664842 \nL 187.429113 69.449513 \nL 195.641624 70.45564 \nL 203.973556 71.678568 \nL 212.378044 73.114195 \nL 220.808293 74.759067 \nL 229.217971 76.610315 \nL 237.561589 78.665703 \nL 245.794866 80.923505 \nL 253.87509 83.382497 \nL 261.761414 86.041861 \nL 268.157286 88.410644 \nL 274.370552 90.917941 \nL 280.381433 93.563517 \nL 286.171532 96.347075 \nL 291.723888 99.268213 \nL 297.023077 102.326338 \nL 302.055247 105.520581 \nL 306.808159 108.849733 \nL 310.402252 111.609124 \nL 313.806149 114.452787 \nL 317.015887 117.379476 \nL 320.028156 120.387682 \nL 322.840384 123.475651 \nL 325.450581 126.641345 \nL 327.857468 129.882428 \nL 330.060391 133.19626 \nL 332.059328 136.579867 \nL 333.854863 140.029942 \nL 335.448172 143.542823 \nL 336.840961 147.1145 \nL 338.035468 150.740594 \nL 339.034451 154.416363 \nL 339.84111 158.136698 \nL 340.459082 161.896122 \nL 340.892436 165.688798 \nL 341.145563 169.508533 \nL 341.215776 174.311263 \nL 341.021692 179.132529 \nL 340.57376 183.958055 \nL 339.882911 188.772843 \nL 338.960453 193.561239 \nL 337.817945 198.307009 \nL 336.467072 202.993405 \nL 334.919588 207.603265 \nL 333.187167 212.119116 \nL 331.281344 216.523237 \nL 329.21344 220.797824 \nL 326.99443 224.925051 \nL 324.634947 228.887226 \nL 322.145168 232.666884 \nL 319.534787 236.246922 \nL 316.812976 239.610692 \nL 313.988342 242.742191 \nL 311.068891 245.626117 \nL 308.06203 248.247973 \nL 304.974585 250.594244 \nL 302.450791 252.26439 \nL 299.882309 253.744287 \nL 297.271797 255.028568 \nL 294.621691 256.112379 \nL 291.934197 256.991444 \nL 289.211334 257.662042 \nL 286.454896 258.12104 \nL 283.666518 258.36593 \nL 280.847664 258.394826 \nL 277.999632 258.206445 \nL 275.123605 257.800158 \nL 272.220652 257.175973 \nL 269.291762 256.334536 \nL 266.337826 255.277115 \nL 263.359703 254.005623 \nL 260.358219 252.522573 \nL 256.574772 250.376063 \nL 252.757767 247.911265 \nL 248.908968 245.136895 \nL 245.030325 242.062985 \nL 241.124028 238.700747 \nL 236.403523 234.302962 \nL 231.651881 229.531142 \nL 226.875083 224.410483 \nL 222.080174 218.967821 \nL 216.47426 212.24877 \nL 210.870212 205.176539 \nL 205.285851 197.799278 \nL 198.954231 189.057596 \nL 192.710074 180.055426 \nL 186.592864 170.86625 \nL 180.646436 161.562323 \nL 174.918635 152.213865 \nL 169.460715 142.888329 \nL 164.32666 133.649787 \nL 160.143905 125.68484 \nL 156.289784 117.870252 \nL 153.276555 111.318246 \nL 150.556058 104.922742 \nL 148.151076 98.702485 \nL 146.083377 92.67464 \nL 144.632758 87.80967 \nL 143.4416 83.097273 \nL 142.519994 78.544817 \nL 141.877023 74.158907 \nL 141.52064 69.945368 \nL 141.446419 66.702126 \nL 141.562738 63.574788 \nL 141.871855 60.565375 \nL 142.375411 57.675631 \nL 143.074429 54.907035 \nL 143.969281 52.260826 \nL 145.059675 49.738005 \nL 146.344645 47.339334 \nL 147.822544 45.065388 \nL 149.491041 42.916549 \nL 151.347093 40.893002 \nL 153.386986 38.994791 \nL 155.606304 37.221802 \nL 157.999962 35.573803 \nL 160.562224 34.050442 \nL 163.286688 32.651266 \nL 166.909623 31.076142 \nL 170.759991 29.69311 \nL 174.821399 28.500904 \nL 179.076168 27.49823 \nL 183.505459 26.683786 \nL 188.089363 26.056298 \nL 192.807056 25.614551 \nL 197.636917 25.357449 \nL 202.556673 25.284034 \nL 208.546955 25.437249 \nL 214.593881 25.85272 \nL 220.657108 26.529748 \nL 226.69633 27.468022 \nL 231.681881 28.449496 \nL 236.600369 29.612629 \nL 241.429646 30.957758 \nL 246.148237 32.48537 \nL 250.735474 34.195979 \nL 255.171622 36.090231 \nL 259.438002 38.168684 \nL 263.517103 40.431932 \nL 267.392673 42.880417 \nL 270.336524 44.972809 \nL 273.13358 47.184056 \nL 275.777466 49.514121 \nL 278.262432 51.962871 \nL 280.583378 54.530024 \nL 282.735833 57.215137 \nL 284.715991 60.017616 \nL 286.520701 62.936638 \nL 288.14746 65.971192 \nL 289.594432 69.120032 \nL 290.86041 72.38165 \nL 291.94483 75.754293 \nL 292.847737 79.235934 \nL 293.569782 82.824235 \nL 294.112212 86.51656 \nL 294.476805 90.309966 \nL 294.665881 94.201167 \nL 294.659759 99.19715 \nL 294.390373 104.332434 \nL 293.865311 109.598329 \nL 293.093118 114.985279 \nL 292.083147 120.482842 \nL 290.845501 126.079699 \nL 289.390874 131.763658 \nL 287.374678 138.680948 \nL 285.08219 145.680698 \nL 282.533923 152.73712 \nL 279.750633 159.822868 \nL 276.753062 166.909163 \nL 273.012356 175.137016 \nL 269.039509 183.274979 \nL 264.864926 191.271747 \nL 260.517379 199.074818 \nL 256.023752 206.631024 \nL 252.074644 212.870922 \nL 248.050761 218.857075 \nL 243.96518 224.556799 \nL 239.829734 229.938271 \nL 235.655042 234.970904 \nL 232.153 238.877208 \nL 228.635163 242.505076 \nL 225.105908 245.839569 \nL 221.569155 248.866862 \nL 218.028411 251.574309 \nL 214.486823 253.950601 \nL 211.65486 255.606481 \nL 208.825513 257.039646 \nL 206.000035 258.246314 \nL 203.179617 259.22336 \nL 200.365407 259.968321 \nL 197.558537 260.479434 \nL 194.760133 260.755621 \nL 191.97135 260.796491 \nL 189.193383 260.602353 \nL 186.427483 260.174218 \nL 183.674998 259.513795 \nL 180.937371 258.623475 \nL 178.216166 257.506321 \nL 175.513085 256.166037 \nL 172.829993 254.606986 \nL 170.168925 252.834121 \nL 167.532105 250.853029 \nL 164.273877 248.093155 \nL 161.062522 245.030589 \nL 157.903777 241.67959 \nL 154.803944 238.055476 \nL 151.7699 234.17457 \nL 148.809116 230.053964 \nL 145.929636 225.711488 \nL 142.593775 220.233602 \nL 139.403394 214.495351 \nL 136.3755 208.529952 \nL 133.528086 202.370898 \nL 130.879963 196.051678 \nL 128.450633 189.605461 \nL 126.260075 183.064872 \nL 124.631636 177.565243 \nL 123.194857 172.04001 \nL 121.961441 166.506421 \nL 120.942907 160.98107 \nL 120.150483 155.479814 \nL 119.594996 150.017727 \nL 119.286736 144.609051 \nL 119.235354 139.26716 \nL 119.449813 134.004528 \nL 119.818201 129.859292 \nL 120.365559 125.777694 \nL 121.09511 121.764843 \nL 122.009651 117.825484 \nL 123.111433 113.963972 \nL 124.402188 110.184297 \nL 125.883089 106.490108 \nL 127.554712 102.88468 \nL 129.417047 99.370963 \nL 131.469425 95.951583 \nL 133.710548 92.628846 \nL 136.138449 89.404781 \nL 138.750498 86.281128 \nL 141.543375 83.259379 \nL 144.513083 80.340782 \nL 147.654946 77.526388 \nL 150.963612 74.817019 \nL 154.433046 72.213353 \nL 158.985682 69.108209 \nL 163.764553 66.169767 \nL 168.753659 63.398487 \nL 173.935565 60.794697 \nL 179.291465 58.358539 \nL 184.801279 56.090164 \nL 190.443769 53.989642 \nL 196.196651 52.057133 \nL 203.213096 49.960206 \nL 210.313484 48.106177 \nL 217.454988 46.496047 \nL 224.593894 45.131187 \nL 231.685991 44.013387 \nL 238.686978 43.144932 \nL 245.552864 42.528478 \nL 252.240393 42.167107 \nL 258.707433 42.064264 \nL 264.913376 42.223651 \nL 269.857562 42.55957 \nL 274.57232 43.082569 \nL 279.037666 43.794931 \nL 283.234993 44.698872 \nL 287.147162 45.79649 \nL 290.06108 46.815308 \nL 292.775311 47.96018 \nL 295.283361 49.231877 \nL 297.579474 50.631026 \nL 299.658646 52.158107 \nL 301.516636 53.813438 \nL 303.149969 55.597134 \nL 304.555957 57.509106 \nL 305.732686 59.549054 \nL 306.679023 61.716447 \nL 307.394602 64.010495 \nL 307.879808 66.430163 \nL 308.135776 68.974114 \nL 308.164348 71.640754 \nL 307.968069 74.428195 \nL 307.550144 77.334225 \nL 306.914422 80.356347 \nL 305.820347 84.292925 \nL 304.402891 88.400265 \nL 302.673253 92.671407 \nL 300.643765 97.098585 \nL 298.327742 101.673278 \nL 295.190315 107.344491 \nL 291.686592 113.197222 \nL 287.843556 119.212457 \nL 282.968232 126.408255 \nL 277.713668 133.762498 \nL 271.301624 142.313515 \nL 264.518893 150.963821 \nL 257.429392 159.651281 \nL 250.093932 168.311156 \nL 242.569407 176.876754 \nL 234.908152 185.280115 \nL 227.157518 193.452795 \nL 219.359644 201.326695 \nL 212.526863 207.918643 \nL 205.70767 214.187115 \nL 198.920636 220.090346 \nL 193.140885 224.829509 \nL 187.405054 229.247898 \nL 181.720537 233.323853 \nL 177.027272 236.444575 \nL 172.377331 239.303359 \nL 167.773604 241.890952 \nL 163.218722 244.199213 \nL 158.715124 246.221237 \nL 154.265122 247.951347 \nL 149.870977 249.385176 \nL 145.53499 250.519704 \nL 142.109678 251.210662 \nL 138.724418 251.708767 \nL 135.380599 252.014355 \nL 132.079719 252.128321 \nL 128.823412 252.052161 \nL 125.613457 251.787894 \nL 122.451809 251.33808 \nL 119.340588 250.705818 \nL 116.282127 249.894722 \nL 113.278959 248.908918 \nL 110.333839 247.752985 \nL 106.738596 246.07656 \nL 103.245021 244.153021 \nL 99.86003 241.994131 \nL 96.591112 239.612516 \nL 93.446316 237.021603 \nL 90.434276 234.235472 \nL 87.564148 231.268806 \nL 84.845618 228.136731 \nL 82.288827 224.854735 \nL 79.904339 221.43857 \nL 77.703074 217.904113 \nL 75.696259 214.267264 \nL 73.895339 210.543859 \nL 72.311908 206.749559 \nL 70.957571 202.899737 \nL 69.843967 199.009404 \nL 68.982529 195.093115 \nL 68.384486 191.164897 \nL 68.060723 187.238151 \nL 68.006231 184.106401 \nL 68.139054 180.989954 \nL 68.464018 177.894682 \nL 68.985662 174.82613 \nL 69.70817 171.789505 \nL 70.635385 168.789663 \nL 71.770758 165.831106 \nL 73.117298 162.917976 \nL 74.677542 160.05406 \nL 76.453559 157.242781 \nL 78.44694 154.487206 \nL 80.658701 151.790057 \nL 83.089301 149.153708 \nL 85.738658 146.580207 \nL 88.606075 144.07128 \nL 91.690239 141.628352 \nL 94.989273 139.252555 \nL 99.411275 136.378505 \nL 104.158664 133.611822 \nL 109.223539 130.9531 \nL 114.59648 128.402458 \nL 120.266522 125.95961 \nL 126.22119 123.623937 \nL 132.446541 121.394565 \nL 140.252505 118.85815 \nL 148.396811 116.471317 \nL 156.847553 114.232056 \nL 165.570252 112.13853 \nL 176.041232 109.878284 \nL 186.770121 107.812814 \nL 197.691466 105.941728 \nL 208.736994 104.266047 \nL 219.836217 102.788373 \nL 230.917104 101.512966 \nL 241.906756 100.445781 \nL 252.732121 99.594462 \nL 263.320718 98.968169 \nL 273.601372 98.577454 \nL 283.504979 98.433972 \nL 291.643322 98.517204 \nL 299.416135 98.799364 \nL 306.785909 99.28867 \nL 313.717642 99.993178 \nL 319.13618 100.750258 \nL 324.211117 101.666371 \nL 328.92703 102.745364 \nL 333.270163 103.990653 \nL 336.468101 105.108594 \nL 339.414388 106.336052 \nL 342.104425 107.673985 \nL 344.534384 109.123042 \nL 346.701189 110.68358 \nL 348.602541 112.355604 \nL 350.236932 114.138782 \nL 351.603594 116.032405 \nL 352.702529 118.035378 \nL 353.534468 120.146217 \nL 354.100874 122.363027 \nL 354.403908 124.683506 \nL 354.44643 127.104927 \nL 354.231925 129.624137 \nL 353.764533 132.237566 \nL 353.048942 134.941221 \nL 352.090423 137.730685 \nL 350.894737 140.601138 \nL 349.076153 144.295098 \nL 346.909863 148.096344 \nL 344.409873 151.992904 \nL 341.590922 155.97194 \nL 338.468422 160.01981 \nL 335.058266 164.122134 \nL 330.609178 169.095571 \nL 325.797578 174.098615 \nL 320.651993 179.103157 \nL 315.200755 184.080299 \nL 309.471779 189.000619 \nL 303.492261 193.834405 \nL 297.288513 198.551917 \nL 290.885798 203.123648 \nL 284.308145 207.520614 \nL 277.578277 211.714608 \nL 271.869248 215.034927 \nL 266.081006 218.180379 \nL 260.224504 221.13667 \nL 254.310036 223.890336 \nL 248.347267 226.428849 \nL 242.345255 228.740698 \nL 236.312503 230.815432 \nL 230.25701 232.643841 \nL 224.186317 234.217919 \nL 218.107588 235.530937 \nL 212.027667 236.577545 \nL 205.95315 237.353794 \nL 199.890468 237.857114 \nL 193.845958 238.086401 \nL 187.82594 238.041962 \nL 181.836799 237.725579 \nL 175.885061 237.140439 \nL 169.977451 236.291139 \nL 164.120977 235.183647 \nL 158.322994 233.825217 \nL 152.591257 232.224385 \nL 146.933964 230.390901 \nL 141.359815 228.335624 \nL 135.878027 226.070432 \nL 130.498392 223.608194 \nL 125.231251 220.962609 \nL 120.087553 218.148144 \nL 115.078793 215.179919 \nL 110.217034 212.073584 \nL 105.514842 208.845232 \nL 100.1013 204.83326 \nL 94.959854 200.697927 \nL 90.11464 196.468083 \nL 85.590433 192.172464 \nL 82.083561 188.562976 \nL 78.831633 184.943525 \nL 75.849205 181.329739 \nL 73.150661 177.736727 \nL 70.75012 174.178999 \nL 68.661304 170.670379 \nL 66.897406 167.223928 \nL 65.728692 164.519779 \nL 64.782086 161.869128 \nL 64.063283 159.277453 \nL 63.577643 156.749841 \nL 63.330084 154.290974 \nL 63.325053 151.905117 \nL 63.566507 149.596112 \nL 64.057875 147.367379 \nL 64.802027 145.221906 \nL 65.801238 143.162252 \nL 67.05719 141.190559 \nL 68.570933 139.308542 \nL 70.342869 137.517513 \nL 72.372757 135.81838 \nL 74.65966 134.21167 \nL 77.201999 132.697536 \nL 79.997477 131.275777 \nL 83.043132 129.945858 \nL 87.196377 128.411292 \nL 91.726209 127.016597 \nL 96.622417 125.75886 \nL 101.873236 124.63461 \nL 107.465369 123.639911 \nL 114.605639 122.611174 \nL 122.188037 121.754747 \nL 130.181803 121.062232 \nL 139.983343 120.450043 \nL 150.243002 120.035814 \nL 162.452074 119.788196 \nL 175.086526 119.764374 \nL 188.047962 119.948745 \nL 202.894315 120.38925 \nL 217.879774 121.063951 \nL 232.857122 121.965296 \nL 247.680509 123.09156 \nL 260.612292 124.284557 \nL 273.213066 125.664494 \nL 285.390421 127.24035 \nL 295.629603 128.788707 \nL 305.423197 130.50412 \nL 313.424635 132.114269 \nL 321.032273 133.859525 \nL 328.219408 135.745481 \nL 334.962041 137.777369 \nL 340.226009 139.585469 \nL 345.155877 141.50045 \nL 349.742385 143.524151 \nL 353.977746 145.657877 \nL 357.855694 147.902324 \nL 360.697421 149.777645 \nL 363.305503 151.723538 \nL 365.678775 153.739363 \nL 367.816652 155.824143 \nL 369.719113 157.976554 \nL 371.386741 160.194907 \nL 372.820656 162.477143 \nL 374.022504 164.820824 \nL 374.994469 167.223127 \nL 375.739204 169.68084 \nL 376.259831 172.190364 \nL 376.559915 174.747714 \nL 376.643437 177.348523 \nL 376.514753 179.988053 \nL 376.178561 182.661199 \nL 375.63987 185.362498 \nL 374.903984 188.086154 \nL 373.715273 191.512811 \nL 372.238403 194.952214 \nL 370.485046 198.391059 \nL 368.467221 201.815465 \nL 366.197091 205.211006 \nL 363.686983 208.562833 \nL 360.949187 211.855748 \nL 357.995915 215.074305 \nL 354.839218 218.202899 \nL 351.490905 221.225888 \nL 347.962469 224.127685 \nL 344.264999 226.892886 \nL 340.40922 229.506381 \nL 336.40532 231.953396 \nL 332.263028 234.219708 \nL 327.99156 236.29167 \nL 323.599526 238.156308 \nL 319.095076 239.801526 \nL 314.485782 241.21604 \nL 309.77869 242.389605 \nL 304.980364 243.312993 \nL 300.096888 243.978128 \nL 295.133919 244.378101 \nL 290.09673 244.507263 \nL 284.990293 244.361257 \nL 279.819269 243.937037 \nL 274.588126 243.232901 \nL 269.3012 242.248532 \nL 263.962757 240.984948 \nL 258.577073 239.444548 \nL 253.148494 237.631043 \nL 247.681535 235.549455 \nL 242.180941 233.206106 \nL 236.651768 230.60856 \nL 231.099462 227.76553 \nL 225.529913 224.686842 \nL 219.949535 221.383385 \nL 213.248678 217.139319 \nL 206.555628 212.61092 \nL 199.885118 207.822039 \nL 193.253404 202.797966 \nL 186.678329 197.565192 \nL 179.105052 191.233228 \nL 171.66914 184.699549 \nL 164.407238 178.009947 \nL 157.358735 171.210617 \nL 150.565554 164.347685 \nL 144.071731 157.466735 \nL 137.923013 150.612366 \nL 132.166322 143.827787 \nL 127.579992 138.099441 \nL 123.346363 132.477694 \nL 119.494872 126.986098 \nL 116.054188 121.646768 \nL 113.520653 117.328526 \nL 111.306685 113.141355 \nL 109.426565 109.09546 \nL 107.893544 105.200172 \nL 106.92518 102.198097 \nL 106.192325 99.301759 \nL 105.699996 96.514716 \nL 105.452586 93.840142 \nL 105.453855 91.280852 \nL 105.706879 88.839297 \nL 106.214003 86.517565 \nL 106.976849 84.317389 \nL 107.996263 82.240167 \nL 109.272292 80.286961 \nL 110.804203 78.458503 \nL 112.590466 76.755232 \nL 114.628689 75.177292 \nL 116.915717 73.724547 \nL 119.447549 72.396598 \nL 122.219405 71.192852 \nL 125.225677 70.11246 \nL 128.460009 69.154374 \nL 132.812718 68.126922 \nL 137.495096 67.286026 \nL 142.489935 66.628737 \nL 147.778428 66.151851 \nL 153.340325 65.852073 \nL 160.344924 65.721308 \nL 167.672326 65.834715 \nL 175.280678 66.186504 \nL 183.126331 66.771104 \nL 191.164239 67.583307 \nL 199.348339 68.618384 \nL 207.631964 69.87213 \nL 215.968257 71.34094 \nL 224.310559 73.021784 \nL 232.612811 74.912246 \nL 240.829928 77.010474 \nL 248.918167 79.315141 \nL 256.835476 81.82536 \nL 264.541797 84.540573 \nL 270.775252 86.959577 \nL 276.815443 89.520527 \nL 282.64321 92.223223 \nL 288.240832 95.067391 \nL 293.592055 98.052596 \nL 298.682221 101.178145 \nL 303.498246 104.443053 \nL 307.145951 107.154405 \nL 310.605775 109.953182 \nL 313.873321 112.838273 \nL 316.944896 115.808335 \nL 319.817459 118.861779 \nL 322.488677 121.99675 \nL 324.95687 125.2111 \nL 327.221008 128.502379 \nL 329.280726 131.867813 \nL 331.136253 135.304302 \nL 332.788456 138.808389 \nL 334.238733 142.376268 \nL 335.48907 146.00377 \nL 336.541962 149.686358 \nL 337.40037 153.419123 \nL 338.067745 157.196786 \nL 338.547954 161.013701 \nL 338.845238 164.863856 \nL 338.966639 169.713557 \nL 338.8191 174.592022 \nL 338.412912 179.485237 \nL 337.758925 184.378441 \nL 336.868413 189.256161 \nL 335.752945 194.102299 \nL 334.424287 198.900185 \nL 332.894297 203.632676 \nL 331.174818 208.282246 \nL 329.277582 212.831075 \nL 327.214125 217.26118 \nL 324.995721 221.554493 \nL 322.633266 225.693001 \nL 320.137266 229.658852 \nL 317.517751 233.43448 \nL 314.784231 237.002722 \nL 311.945678 240.346965 \nL 309.010488 243.451215 \nL 305.986447 246.300285 \nL 302.880732 248.879853 \nL 299.699932 251.176603 \nL 297.105267 252.802125 \nL 294.469162 254.233102 \nL 291.794176 255.464328 \nL 289.082655 256.491178 \nL 286.336713 257.309554 \nL 283.558282 257.915992 \nL 280.749096 258.307614 \nL 277.910713 258.482163 \nL 275.044565 258.438016 \nL 272.151925 258.174201 \nL 269.233954 257.690381 \nL 266.291726 256.986865 \nL 263.326237 256.06462 \nL 260.33843 254.925229 \nL 257.329219 253.570917 \nL 254.299503 252.004534 \nL 250.484922 249.753613 \nL 246.641609 247.184742 \nL 242.771592 244.307272 \nL 238.877127 241.13183 \nL 234.960753 237.670256 \nL 230.236293 233.156947 \nL 225.490277 228.274527 \nL 220.729497 223.049081 \nL 215.961866 217.508284 \nL 210.403234 210.684153 \nL 204.864549 203.51798 \nL 199.365164 196.058829 \nL 193.156612 187.239264 \nL 187.065292 178.176782 \nL 181.132691 168.945429 \nL 175.404389 159.617739 \nL 169.929607 150.263921 \nL 164.760563 140.951149 \nL 160.531205 132.886185 \nL 156.614846 124.941323 \nL 153.048976 117.153889 \nL 150.299598 110.630494 \nL 147.857725 104.268203 \nL 145.745259 98.08542 \nL 144.251484 93.082371 \nL 143.012082 88.224473 \nL 142.037436 83.519758 \nL 141.336954 78.975467 \nL 140.918984 74.59805 \nL 140.79286 71.220146 \nL 140.855225 67.955296 \nL 141.108603 64.805784 \nL 141.554929 61.77362 \nL 142.195539 58.860532 \nL 143.031119 56.06798 \nL 144.061715 53.397187 \nL 145.286711 50.849127 \nL 146.704818 48.424562 \nL 148.314049 46.124049 \nL 150.111739 43.947942 \nL 152.094521 41.89642 \nL 154.258341 39.969507 \nL 156.598479 38.16709 \nL 159.109519 36.48892 \nL 161.785424 34.934652 \nL 164.61949 33.503834 \nL 168.373316 31.888142 \nL 172.347269 30.463426 \nL 176.524439 29.228472 \nL 180.886678 28.182023 \nL 185.414692 27.322858 \nL 190.08818 26.649753 \nL 194.885948 26.161611 \nL 199.786056 25.857431 \nL 204.765958 25.736337 \nL 210.814756 25.831758 \nL 216.905014 26.188985 \nL 222.996184 26.807546 \nL 229.047852 27.687355 \nL 234.031927 28.620289 \nL 238.93822 29.735176 \nL 243.744684 31.032501 \nL 248.429986 32.512858 \nL 252.973649 34.17693 \nL 257.356174 36.025397 \nL 261.559158 38.058996 \nL 265.565411 40.278363 \nL 269.359031 42.684057 \nL 272.231039 44.743036 \nL 274.95089 46.921622 \nL 277.512449 49.219833 \nL 279.910205 51.637535 \nL 282.139294 54.174472 \nL 284.195519 56.830219 \nL 286.075342 59.604155 \nL 287.775887 62.495502 \nL 289.294924 65.503233 \nL 290.630905 68.62608 \nL 291.782914 71.862548 \nL 292.750678 75.210873 \nL 293.534544 78.668998 \nL 294.135445 82.234583 \nL 294.554902 85.904973 \nL 294.794995 89.677209 \nL 294.858319 93.547988 \nL 294.693665 98.519462 \nL 294.264753 103.631354 \nL 293.579666 108.874946 \nL 292.647427 114.24065 \nL 291.477862 119.718022 \nL 290.081489 125.295731 \nL 288.122129 132.104204 \nL 285.872219 139.016889 \nL 283.352461 146.009415 \nL 280.583944 153.055794 \nL 277.587887 160.128522 \nL 273.833021 168.374723 \nL 269.829961 176.569414 \nL 265.610436 184.662673 \nL 261.20467 192.603083 \nL 256.641086 200.338216 \nL 251.946071 207.815149 \nL 247.835539 213.978392 \nL 243.660087 219.880232 \nL 239.432319 225.488463 \nL 235.163568 230.771843 \nL 230.863957 235.700411 \nL 227.263866 239.515979 \nL 223.653186 243.04994 \nL 220.03604 246.287895 \nL 216.416112 249.216525 \nL 212.796698 251.823787 \nL 209.18076 254.098937 \nL 206.292326 255.673626 \nL 203.409113 257.025689 \nL 200.532328 258.151681 \nL 197.663127 259.048794 \nL 194.802643 259.714911 \nL 191.95201 260.148572 \nL 189.112373 260.349015 \nL 186.284916 260.316177 \nL 183.470881 260.050689 \nL 180.671602 259.553868 \nL 177.888498 258.827708 \nL 175.123116 257.874901 \nL 172.377139 256.698777 \nL 169.652404 255.303302 \nL 166.950921 253.693083 \nL 164.274878 251.873317 \nL 161.626675 249.84977 \nL 158.359558 247.043439 \nL 155.145601 243.942023 \nL 151.99095 240.560098 \nL 148.902305 236.913252 \nL 145.887 233.017964 \nL 142.952942 228.891513 \nL 140.108614 224.551817 \nL 137.363073 220.017316 \nL 134.212383 214.345324 \nL 131.235346 208.452995 \nL 128.450439 202.373608 \nL 125.876932 196.140383 \nL 123.534719 189.786209 \nL 121.7742 184.421967 \nL 120.200287 179.014379 \nL 118.824867 173.581156 \nL 117.659732 168.139431 \nL 116.716465 162.705666 \nL 116.006316 157.295597 \nL 115.540159 151.924173 \nL 115.328273 146.605506 \nL 115.380261 141.352842 \nL 115.617827 137.206559 \nL 116.034077 133.116334 \nL 116.632702 129.087684 \nL 117.417009 125.125752 \nL 118.389775 121.235295 \nL 119.553298 117.4207 \nL 120.909315 113.685975 \nL 122.459029 110.034775 \nL 124.203021 106.470408 \nL 126.141281 102.995816 \nL 128.273145 99.613644 \nL 130.597303 96.326211 \nL 133.111779 93.135537 \nL 135.813913 90.043366 \nL 138.700379 87.051191 \nL 141.767135 84.160264 \nL 145.00947 81.371609 \nL 148.421982 78.686058 \nL 151.998594 76.104275 \nL 156.689793 73.023723 \nL 161.612195 70.106801 \nL 166.749656 67.353967 \nL 172.084575 64.765507 \nL 177.597963 62.341571 \nL 183.269531 60.082246 \nL 189.077812 57.98764 \nL 195.000275 56.057911 \nL 202.224841 53.960196 \nL 209.53792 52.100907 \nL 216.896133 50.481115 \nL 224.255176 49.102254 \nL 231.570199 47.966246 \nL 238.796222 47.075492 \nL 245.888533 46.432834 \nL 252.803112 46.041557 \nL 259.497024 45.905301 \nL 265.928837 46.02799 \nL 271.059879 46.331036 \nL 275.959683 46.819222 \nL 280.607771 47.494984 \nL 284.985005 48.360703 \nL 289.073737 49.418619 \nL 292.857861 50.670842 \nL 295.656123 51.813757 \nL 298.243625 53.083009 \nL 300.614541 54.479263 \nL 302.763801 56.003032 \nL 304.687111 57.654661 \nL 306.380956 59.434239 \nL 307.842614 61.341704 \nL 309.070153 63.376754 \nL 310.062425 65.538816 \nL 310.819051 67.827072 \nL 311.340432 70.240417 \nL 311.627699 72.777461 \nL 311.682735 75.436537 \nL 311.508099 78.215655 \nL 311.107044 81.112523 \nL 310.483459 84.124527 \nL 309.641848 87.248724 \nL 308.291032 91.306742 \nL 306.618602 95.527845 \nL 304.636804 99.904132 \nL 302.358928 104.426904 \nL 299.254664 110.034182 \nL 295.770419 115.820866 \nL 291.933305 121.767568 \nL 287.048033 128.879714 \nL 281.76576 136.145689 \nL 276.1319 143.527596 \nL 269.320283 152.054591 \nL 262.173359 160.617986 \nL 254.753531 169.152529 \nL 247.119416 177.59108 \nL 239.325207 185.86533 \nL 231.420199 193.90662 \nL 224.447243 200.698037 \nL 217.449573 207.214047 \nL 210.450393 213.411114 \nL 204.465342 218.437331 \nL 198.505283 223.173506 \nL 192.579997 227.5961 \nL 186.698024 231.683205 \nL 181.834864 234.818353 \nL 177.010782 237.696098 \nL 172.229201 240.307016 \nL 167.493237 242.64282 \nL 162.805771 244.696424 \nL 158.169527 246.461992 \nL 153.587141 247.934999 \nL 149.061243 249.112221 \nL 145.482996 249.839763 \nL 141.944046 250.376488 \nL 138.445915 250.722653 \nL 134.990201 250.879065 \nL 131.578644 250.847095 \nL 128.213107 250.628684 \nL 124.895608 250.226311 \nL 121.628342 249.642987 \nL 118.413682 248.882218 \nL 115.254206 247.948044 \nL 111.386765 246.543377 \nL 107.615892 244.884637 \nL 103.948069 242.982653 \nL 100.390386 240.849232 \nL 96.950491 238.497054 \nL 93.636605 235.939545 \nL 90.45752 233.190821 \nL 87.422555 230.265574 \nL 84.541543 227.178938 \nL 81.824751 223.946402 \nL 79.282938 220.58369 \nL 76.927159 217.106672 \nL 74.768804 213.531235 \nL 72.819454 209.873172 \nL 71.090828 206.148094 \nL 69.59475 202.371345 \nL 68.342937 198.557868 \nL 67.346996 194.722162 \nL 66.618302 190.878167 \nL 66.235175 187.805991 \nL 66.03558 184.743569 \nL 66.024752 181.697119 \nL 66.207643 178.67254 \nL 66.58894 175.675401 \nL 67.173 172.710929 \nL 67.963789 169.784001 \nL 68.964933 166.899135 \nL 70.17961 164.060485 \nL 71.610551 161.27184 \nL 73.260023 158.536623 \nL 75.129772 155.857897 \nL 77.221036 153.238363 \nL 79.534487 150.680377 \nL 82.070229 148.18595 \nL 84.827793 145.756766 \nL 87.806105 143.394198 \nL 91.003483 141.099314 \nL 95.304678 138.327068 \nL 99.938612 135.662766 \nL 104.897876 133.106803 \nL 110.173495 130.659071 \nL 115.754995 128.319021 \nL 121.630383 126.085752 \nL 127.78619 123.958078 \nL 135.522238 121.542291 \nL 143.612189 119.273945 \nL 152.024954 117.150351 \nL 160.726879 115.168962 \nL 171.196438 113.03408 \nL 181.94964 111.086905 \nL 192.922186 109.325822 \nL 204.046864 107.750597 \nL 216.857786 106.179755 \nL 229.670102 104.858342 \nL 242.375777 103.794204 \nL 254.866506 102.998176 \nL 265.535249 102.532196 \nL 275.887017 102.29246 \nL 285.853703 102.290706 \nL 294.04057 102.488138 \nL 301.857567 102.877821 \nL 309.267948 103.468009 \nL 316.237514 104.266791 \nL 321.68602 105.097387 \nL 326.789986 106.082416 \nL 331.534471 107.225703 \nL 335.906086 108.530627 \nL 339.127074 109.692883 \nL 342.096822 110.961613 \nL 344.810916 112.337728 \nL 347.265697 113.821845 \nL 349.458307 115.414255 \nL 351.386563 117.114917 \nL 353.049091 118.923429 \nL 354.445241 120.839013 \nL 355.575115 122.860507 \nL 356.439525 124.986344 \nL 357.040014 127.214545 \nL 357.378813 129.542717 \nL 357.458779 131.968037 \nL 357.283446 134.487261 \nL 356.85694 137.096717 \nL 356.183951 139.792303 \nL 355.269679 142.569505 \nL 354.119865 145.423389 \nL 352.74066 148.348624 \nL 350.70414 152.096745 \nL 348.333178 155.93537 \nL 345.642169 159.851624 \nL 342.646112 163.83182 \nL 339.360524 167.861528 \nL 335.058003 172.741227 \nL 330.389208 177.64325 \nL 325.38206 182.539394 \nL 320.06432 187.400682 \nL 314.463372 192.197614 \nL 308.605923 196.90042 \nL 302.517791 201.479325 \nL 296.223787 205.904824 \nL 289.747555 210.147973 \nL 284.227659 213.524296 \nL 278.609 216.738708 \nL 272.903166 219.776128 \nL 267.121087 222.622226 \nL 261.273048 225.263489 \nL 255.368713 227.687368 \nL 249.417158 229.882302 \nL 243.426911 231.837872 \nL 237.405989 233.544832 \nL 231.361978 234.995177 \nL 225.302074 236.182221 \nL 219.233162 237.100668 \nL 213.161885 237.746603 \nL 207.094717 238.117511 \nL 201.038043 238.212375 \nL 194.998237 238.03161 \nL 188.981733 237.577075 \nL 182.995111 236.852093 \nL 177.045168 235.861375 \nL 171.138981 234.611038 \nL 165.283974 233.108488 \nL 159.48798 231.362429 \nL 153.759307 229.382798 \nL 148.106765 227.180603 \nL 142.539688 224.767935 \nL 137.068019 222.15784 \nL 131.702281 219.36423 \nL 126.453565 216.40178 \nL 121.333591 213.285818 \nL 116.354639 210.032214 \nL 110.584199 205.969206 \nL 105.05854 201.760276 \nL 99.801764 197.434599 \nL 94.83875 193.02145 \nL 90.195006 188.549918 \nL 85.896361 184.048655 \nL 82.596538 180.295089 \nL 79.569359 176.556002 \nL 76.829631 172.846532 \nL 74.391829 169.181189 \nL 72.26997 165.573764 \nL 70.477533 162.037268 \nL 69.289394 159.267343 \nL 68.326484 156.556423 \nL 67.5946 153.909931 \nL 67.099128 151.33289 \nL 66.845029 148.829914 \nL 66.836728 146.405193 \nL 67.078159 144.062493 \nL 67.572728 141.805152 \nL 68.323214 139.636077 \nL 69.331801 137.557745 \nL 70.600055 135.572212 \nL 72.128868 133.681112 \nL 73.91848 131.885678 \nL 75.968411 130.186741 \nL 78.277541 128.584751 \nL 80.844016 127.079788 \nL 83.665277 125.67159 \nL 86.738052 124.359562 \nL 90.92665 122.853361 \nL 95.492771 121.493622 \nL 100.425567 120.27735 \nL 105.712516 119.201021 \nL 111.339579 118.260672 \nL 118.519065 117.305609 \nL 126.136433 116.532088 \nL 134.159532 115.931767 \nL 143.98634 115.438985 \nL 154.259536 115.157104 \nL 164.916923 115.073386 \nL 177.48367 115.205306 \nL 190.36649 115.565245 \nL 203.462064 116.140475 \nL 216.665644 116.921426 \nL 229.872271 117.901932 \nL 242.977962 119.0793 \nL 255.880853 120.454265 \nL 268.482307 122.030708 \nL 279.187022 123.580563 \nL 289.528752 125.295669 \nL 299.451161 127.182932 \nL 307.582604 128.943323 \nL 315.337157 130.840635 \nL 322.687049 132.879698 \nL 328.4847 134.690486 \nL 333.970913 136.605255 \nL 339.134129 138.626071 \nL 343.964228 140.754603 \nL 348.452579 142.992043 \nL 352.592024 145.339035 \nL 355.648529 147.295546 \nL 358.475918 149.3219 \nL 361.07259 151.417495 \nL 363.437549 153.581417 \nL 365.570419 155.812413 \nL 367.471371 158.108887 \nL 369.141148 160.468883 \nL 370.581065 162.890078 \nL 371.792941 165.369774 \nL 372.779106 167.904893 \nL 373.542364 170.491973 \nL 374.086006 173.127175 \nL 374.41368 175.806279 \nL 374.529501 178.52469 \nL 374.437919 181.277448 \nL 374.143699 184.05924 \nL 373.651943 186.864404 \nL 372.968 189.686948 \nL 371.851309 193.229951 \nL 370.454347 196.777316 \nL 368.788789 200.315452 \nL 366.866594 203.830192 \nL 364.699869 207.306892 \nL 362.300758 210.730496 \nL 359.681402 214.085636 \nL 356.853819 217.356725 \nL 353.82983 220.528076 \nL 350.620973 223.583986 \nL 347.23844 226.508862 \nL 343.693047 229.287306 \nL 339.995143 231.904264 \nL 336.154594 234.345089 \nL 332.180741 236.595655 \nL 328.082377 238.64252 \nL 323.867779 240.472939 \nL 319.544632 242.07502 \nL 315.120092 243.437807 \nL 310.600796 244.551348 \nL 305.99285 245.406767 \nL 301.301914 245.996353 \nL 297.492922 246.272203 \nL 293.636646 246.370998 \nL 289.73543 246.290508 \nL 285.79151 246.029075 \nL 281.807007 245.585575 \nL 276.772424 244.774373 \nL 271.681486 243.677995 \nL 266.537999 242.297921 \nL 261.345762 240.63702 \nL 256.108666 238.69948 \nL 250.830741 236.490776 \nL 245.516257 234.017663 \nL 240.16979 231.288094 \nL 234.796293 228.31119 \nL 229.401171 225.097172 \nL 222.906858 220.943228 \nL 216.401299 216.485259 \nL 209.897166 211.746224 \nL 203.408581 206.750639 \nL 196.951204 201.524352 \nL 189.480173 195.171427 \nL 182.105433 188.585456 \nL 174.860264 181.811848 \nL 167.780899 174.896633 \nL 160.906328 167.886017 \nL 154.278064 160.825905 \nL 147.939738 153.76147 \nL 141.936672 146.736736 \nL 136.315337 139.794192 \nL 131.836499 133.93969 \nL 127.702171 128.19972 \nL 123.941473 122.597235 \nL 120.582739 117.15373 \nL 118.11051 112.753363 \nL 115.951309 108.487955 \nL 114.119187 104.367362 \nL 112.627201 100.40059 \nL 111.686553 97.343435 \nL 110.976724 94.393724 \nL 110.502621 91.554878 \nL 110.268588 88.82995 \nL 110.278261 86.221639 \nL 110.534612 83.732298 \nL 111.039894 81.363927 \nL 111.795629 79.118192 \nL 112.802603 76.996429 \nL 114.060762 74.999653 \nL 115.569303 73.128594 \nL 117.326604 71.38366 \nL 119.330206 69.765001 \nL 121.57688 68.272503 \nL 124.062572 66.905827 \nL 126.782422 65.6644 \nL 129.730784 64.547441 \nL 132.901248 63.554004 \nL 137.165672 62.48422 \nL 141.750299 61.603234 \nL 146.637864 60.908344 \nL 151.809523 60.396628 \nL 157.244977 60.065039 \nL 164.085161 59.900524 \nL 171.234303 59.985567 \nL 178.650612 60.314888 \nL 186.290532 60.883548 \nL 194.109158 61.686904 \nL 202.060609 62.720795 \nL 210.098471 63.981572 \nL 218.176193 65.466136 \nL 226.247492 67.171945 \nL 234.266751 69.097006 \nL 242.189399 71.239877 \nL 249.972285 73.599503 \nL 257.574026 76.175237 \nL 263.742015 78.486497 \nL 269.735383 80.947398 \nL 275.533897 83.557803 \nL 281.118679 86.317508 \nL 286.472297 89.226195 \nL 291.578825 92.283345 \nL 296.423914 95.488184 \nL 300.103159 98.157662 \nL 303.601171 100.92021 \nL 306.912879 103.774894 \nL 310.033932 106.720572 \nL 312.96065 109.755852 \nL 315.690042 112.879107 \nL 318.219816 116.088427 \nL 320.548359 119.381618 \nL 322.674689 122.756175 \nL 324.598497 126.209265 \nL 326.320091 129.737715 \nL 327.840386 133.338013 \nL 329.160868 137.006283 \nL 330.283585 140.73828 \nL 331.211108 144.529388 \nL 331.946502 148.374614 \nL 332.493265 152.268591 \nL 332.855343 156.205576 \nL 333.037079 160.179459 \nL 333.01779 165.1888 \nL 332.733838 170.232227 \nL 332.195685 175.295491 \nL 331.414328 180.363566 \nL 330.401156 185.420701 \nL 329.167854 190.450484 \nL 327.726291 195.435933 \nL 326.088447 200.359546 \nL 324.266227 205.203434 \nL 322.27144 209.94939 \nL 320.115703 214.578994 \nL 317.810335 219.073746 \nL 315.366313 223.415159 \nL 312.794155 227.584898 \nL 310.10394 231.5649 \nL 307.305203 235.337473 \nL 304.406938 238.885444 \nL 301.417553 242.192306 \nL 298.344869 245.242288 \nL 295.196078 248.02052 \nL 291.977782 250.513098 \nL 289.357163 252.292888 \nL 286.698722 253.875681 \nL 284.005036 255.255985 \nL 281.278463 256.428904 \nL 278.52115 257.390106 \nL 275.735065 258.135847 \nL 272.921979 258.663007 \nL 270.0835 258.969091 \nL 267.22109 259.052265 \nL 264.336099 258.911342 \nL 261.42975 258.545809 \nL 258.503181 257.955808 \nL 255.557458 257.142143 \nL 252.593613 256.106278 \nL 249.612646 254.850318 \nL 246.615546 253.37701 \nL 243.603339 251.689727 \nL 239.818446 249.285849 \nL 236.013814 246.562922 \nL 232.19188 243.531325 \nL 228.355366 240.202712 \nL 224.507342 236.589908 \nL 219.879446 231.899022 \nL 215.246898 226.844807 \nL 210.617663 221.45482 \nL 206.000887 215.758107 \nL 200.644354 208.764658 \nL 195.337816 201.444428 \nL 190.102629 193.847986 \nL 184.962695 186.026402 \nL 179.944414 178.03067 \nL 174.395202 168.744102 \nL 169.737229 160.543635 \nL 165.298237 152.323411 \nL 161.112755 144.129161 \nL 157.216364 136.004385 \nL 153.645172 127.990071 \nL 150.870378 121.237649 \nL 148.383479 114.616925 \nL 146.206282 108.148662 \nL 144.643643 102.888727 \nL 143.322074 97.758091 \nL 142.252335 92.766076 \nL 141.444349 87.921183 \nL 140.907104 83.231076 \nL 140.648523 78.702645 \nL 140.646877 75.200432 \nL 140.830808 71.80835 \nL 141.20265 68.52887 \nL 141.764157 65.36417 \nL 142.516495 62.316128 \nL 143.460203 59.386346 \nL 144.595164 56.576198 \nL 145.920632 53.886764 \nL 147.435176 51.318947 \nL 149.136687 48.87341 \nL 151.022386 46.550607 \nL 153.08881 44.350838 \nL 155.331814 42.274227 \nL 157.746583 40.320747 \nL 160.327648 38.490248 \nL 163.068879 36.782464 \nL 165.963526 35.197041 \nL 169.786313 33.386689 \nL 173.821641 31.765887 \nL 178.052537 30.333599 \nL 182.460793 29.088727 \nL 187.027078 28.030173 \nL 191.731057 27.156908 \nL 196.551523 26.46797 \nL 201.466527 25.962515 \nL 206.453522 25.639844 \nL 212.500545 25.493173 \nL 218.577835 25.608343 \nL 224.644881 25.985177 \nL 229.663799 26.499222 \nL 234.624481 27.195431 \nL 239.504245 28.074275 \nL 244.280963 29.136389 \nL 248.933216 30.382528 \nL 253.440412 31.813523 \nL 257.782928 33.430269 \nL 261.942227 35.233678 \nL 265.900962 37.224591 \nL 269.643086 39.403806 \nL 272.470921 41.28318 \nL 275.143877 43.28372 \nL 277.655734 45.405576 \nL 280.000908 47.648774 \nL 282.174481 50.013208 \nL 284.172172 52.498631 \nL 285.990391 55.104643 \nL 287.626205 57.830608 \nL 289.077361 60.675719 \nL 290.342259 63.638949 \nL 291.419979 66.719023 \nL 292.310235 69.914399 \nL 293.013357 73.223298 \nL 293.530314 76.643639 \nL 293.862641 80.173053 \nL 294.01246 83.808861 \nL 293.982436 87.548069 \nL 293.696855 92.362401 \nL 293.142465 97.325878 \nL 292.327568 102.430465 \nL 291.261396 107.667272 \nL 289.954045 113.026557 \nL 288.416325 118.497732 \nL 286.283095 125.194675 \nL 283.855246 132.01488 \nL 281.154123 138.935305 \nL 278.201503 145.931289 \nL 274.468177 154.153733 \nL 270.456988 162.399255 \nL 266.201824 170.621445 \nL 261.735409 178.77186 \nL 257.088912 186.800425 \nL 252.291627 194.655858 \nL 247.3707 202.286183 \nL 242.350998 209.639219 \nL 237.254969 216.663217 \nL 232.841429 222.383371 \nL 228.397749 227.793408 \nL 223.933868 232.863448 \nL 219.458544 237.565094 \nL 215.725917 241.182415 \nL 211.994573 244.511 \nL 208.26798 247.537567 \nL 204.549228 250.250062 \nL 200.841085 252.637681 \nL 197.883905 254.307509 \nL 194.936316 255.759209 \nL 191.999454 256.989265 \nL 189.074414 257.994765 \nL 186.162277 258.773475 \nL 183.264125 259.323794 \nL 180.381075 259.644826 \nL 177.514295 259.736351 \nL 174.665014 259.598802 \nL 171.834555 259.23334 \nL 169.024359 258.641736 \nL 166.235999 257.826495 \nL 163.471174 256.790718 \nL 160.731772 255.538168 \nL 158.019856 254.073228 \nL 155.337673 252.400876 \nL 152.687693 250.52663 \nL 149.424606 247.909229 \nL 146.221786 244.998894 \nL 143.085548 241.809744 \nL 140.022811 238.356928 \nL 137.041087 234.656504 \nL 134.148492 230.725306 \nL 131.353724 226.580877 \nL 128.666064 222.241244 \nL 126.095307 217.724888 \nL 123.65177 213.050567 \nL 121.346214 208.237196 \nL 119.18978 203.303722 \nL 117.193952 198.269022 \nL 115.370451 193.151767 \nL 113.731167 187.970353 \nL 112.288071 182.74275 \nL 111.053112 177.486453 \nL 110.038099 172.218373 \nL 109.254616 166.954764 \nL 108.713912 161.711168 \nL 108.426759 156.502344 \nL 108.403309 151.342226 \nL 108.580826 147.258011 \nL 108.937689 143.21963 \nL 109.478004 139.232986 \nL 110.205463 135.303611 \nL 111.123325 131.436652 \nL 112.234356 127.636877 \nL 113.540821 123.908683 \nL 115.044435 120.256093 \nL 116.74634 116.682766 \nL 118.647098 113.192005 \nL 120.746616 109.786786 \nL 123.044192 106.469726 \nL 125.538447 103.243155 \nL 128.227348 100.109092 \nL 131.108165 97.069285 \nL 134.177488 94.125215 \nL 137.431205 91.27812 \nL 140.864514 88.529024 \nL 144.471934 85.878759 \nL 149.216562 82.705877 \nL 154.209989 79.68937 \nL 159.437078 76.829886 \nL 164.88117 74.12785 \nL 170.524105 71.583492 \nL 176.34637 69.196989 \nL 182.32715 66.968438 \nL 188.444434 64.898008 \nL 195.932827 62.622522 \nL 203.542914 60.575648 \nL 211.231471 58.758362 \nL 218.954027 57.172045 \nL 226.665245 55.818565 \nL 234.319316 54.700304 \nL 241.870366 53.82015 \nL 249.272869 53.181504 \nL 256.482051 52.78819 \nL 263.45431 52.644424 \nL 270.147614 52.754741 \nL 275.483293 53.044123 \nL 280.575409 53.51597 \nL 285.403238 54.173011 \nL 289.947459 55.01791 \nL 294.190258 56.053164 \nL 298.115438 57.281069 \nL 301.017099 58.4035 \nL 303.699585 59.651437 \nL 306.157059 61.025613 \nL 308.384455 62.526578 \nL 310.377499 64.154686 \nL 312.132713 65.910078 \nL 313.647429 67.792685 \nL 314.919753 69.802143 \nL 315.948623 71.937849 \nL 316.733753 74.1989 \nL 317.275634 76.584119 \nL 317.575524 79.092005 \nL 317.635402 81.720755 \nL 317.457976 84.468243 \nL 317.046632 87.331991 \nL 316.405404 90.3092 \nL 315.538948 93.39673 \nL 314.147177 97.405931 \nL 312.423114 101.574474 \nL 310.37934 105.893973 \nL 308.029478 110.355197 \nL 305.388056 114.94812 \nL 301.85504 120.618208 \nL 297.95175 126.442233 \nL 293.706607 132.398579 \nL 288.360564 139.484142 \nL 282.634972 146.67975 \nL 276.575819 153.944592 \nL 270.228117 161.236063 \nL 262.676012 169.545209 \nL 254.865469 177.764096 \nL 247.86458 184.827719 \nL 240.745509 191.723682 \nL 233.540882 198.406198 \nL 226.280257 204.830276 \nL 218.990126 210.952157 \nL 212.735839 215.927067 \nL 206.490287 220.623909 \nL 200.265128 225.018953 \nL 194.070684 229.090122 \nL 188.938726 232.220701 \nL 183.839178 235.10166 \nL 178.776318 237.723409 \nL 173.754066 240.077535 \nL 168.776051 242.156786 \nL 163.845674 243.955156 \nL 158.966199 245.467934 \nL 154.140822 246.691721 \nL 149.372761 247.624469 \nL 145.601785 248.160628 \nL 141.871335 248.510353 \nL 138.183246 248.674487 \nL 134.539457 248.654428 \nL 130.942042 248.452135 \nL 127.393214 248.070103 \nL 123.895333 247.511336 \nL 120.450945 246.779376 \nL 116.224902 245.627056 \nL 112.092569 244.21936 \nL 108.060245 242.566279 \nL 104.134825 240.678828 \nL 100.323705 238.568972 \nL 96.634925 236.249472 \nL 93.077024 233.733878 \nL 89.659127 231.03634 \nL 86.390895 228.171578 \nL 83.282424 225.154731 \nL 80.344325 222.001242 \nL 77.587584 218.726792 \nL 75.023521 215.347153 \nL 72.663764 211.878087 \nL 70.5201 208.335261 \nL 68.604479 204.734111 \nL 66.928882 201.089779 \nL 65.505212 197.416994 \nL 64.345211 193.730004 \nL 63.460358 190.042487 \nL 62.958071 187.100886 \nL 62.644495 184.173663 \nL 62.524843 181.266865 \nL 62.604134 178.386216 \nL 62.887034 175.537098 \nL 63.377899 172.724545 \nL 64.08073 169.953233 \nL 64.999106 167.227469 \nL 66.136206 164.551187 \nL 67.49474 161.927948 \nL 69.076925 159.360944 \nL 70.884476 156.852993 \nL 72.918594 154.406549 \nL 75.179943 152.023708 \nL 77.668556 149.70622 \nL 80.383965 147.455498 \nL 83.325026 145.272636 \nL 86.490036 143.158418 \nL 90.757616 140.612914 \nL 95.365528 138.175821 \nL 100.306338 135.846945 \nL 105.571095 133.625569 \nL 111.149336 131.510536 \nL 117.029149 129.500322 \nL 124.464083 127.22385 \nL 132.288215 125.09218 \nL 140.473018 123.101563 \nL 148.987348 121.248236 \nL 159.292278 119.254732 \nL 169.942713 117.438053 \nL 180.877743 115.794044 \nL 193.640998 114.123023 \nL 206.59216 112.672062 \nL 219.627812 111.442382 \nL 232.642265 110.438397 \nL 245.528776 109.667803 \nL 258.180824 109.141444 \nL 270.493398 108.873064 \nL 280.907999 108.862556 \nL 290.918504 109.074051 \nL 300.462098 109.52042 \nL 308.225798 110.100012 \nL 315.568321 110.870261 \nL 322.457566 111.839265 \nL 327.831193 112.804156 \nL 332.854417 113.916501 \nL 337.513516 115.179983 \nL 341.796417 116.597805 \nL 344.944837 117.844964 \nL 347.841262 119.193627 \nL 350.481895 120.644548 \nL 352.86365 122.19816 \nL 354.984183 123.854563 \nL 356.841882 125.613504 \nL 358.435832 127.474355 \nL 359.765885 129.436101 \nL 360.832554 131.497323 \nL 361.637052 133.656199 \nL 362.181289 135.910475 \nL 362.467802 138.257479 \nL 362.499747 140.694112 \nL 362.280898 143.216836 \nL 361.815575 145.821693 \nL 361.108617 148.504295 \nL 360.165361 151.259839 \nL 358.991605 154.083112 \nL 357.209734 157.698865 \nL 355.090344 161.399857 \nL 352.647122 165.173414 \nL 349.894394 169.006031 \nL 346.847001 172.883445 \nL 343.520161 176.79071 \nL 339.929332 180.712278 \nL 335.293843 185.414389 \nL 330.327638 190.085398 \nL 325.057393 194.696139 \nL 319.509302 199.217078 \nL 313.708838 203.618578 \nL 307.680578 207.871176 \nL 301.448058 211.945869 \nL 296.114425 215.185122 \nL 290.666783 218.265346 \nL 285.116805 221.171319 \nL 279.475519 223.888512 \nL 273.753341 226.403207 \nL 267.960091 228.7026 \nL 262.104992 230.774899 \nL 256.196724 232.609392 \nL 250.243471 234.196515 \nL 244.252956 235.527979 \nL 238.232511 236.59678 \nL 232.18914 237.397276 \nL 226.129582 237.925216 \nL 220.060393 238.177775 \nL 213.988017 238.153599 \nL 207.918863 237.852775 \nL 201.859385 237.276863 \nL 195.816158 236.428874 \nL 189.795956 235.313243 \nL 183.805815 233.935791 \nL 177.853119 232.303697 \nL 171.945646 230.425439 \nL 166.091645 228.310721 \nL 160.299859 225.970397 \nL 154.579595 223.416403 \nL 148.940745 220.661679 \nL 143.393814 217.720053 \nL 137.949933 214.606146 \nL 132.620851 211.335282 \nL 126.394968 207.225498 \nL 120.374775 202.941005 \nL 114.583949 198.510879 \nL 109.047223 193.96463 \nL 103.790195 189.331914 \nL 98.839174 184.642261 \nL 94.220939 179.924811 \nL 89.962528 175.208046 \nL 86.708165 171.297865 \nL 83.737857 167.422717 \nL 81.066764 163.59735 \nL 78.709603 159.835805 \nL 76.680584 156.151342 \nL 74.993176 152.556377 \nL 73.897786 149.752614 \nL 73.035251 147.018979 \nL 72.411208 144.36053 \nL 72.030826 141.781915 \nL 71.89878 139.28736 \nL 72.019186 136.880662 \nL 72.395578 134.565195 \nL 73.030917 132.343898 \nL 73.92749 130.219284 \nL 75.086954 128.193443 \nL 76.51027 126.268041 \nL 78.197712 124.444347 \nL 80.148822 122.723229 \nL 82.362436 121.105172 \nL 84.836654 119.590293 \nL 87.568847 118.178364 \nL 90.555643 116.868836 \nL 93.792958 115.660839 \nL 98.184513 114.291859 \nL 102.948995 113.07692 \nL 108.073794 112.01268 \nL 113.544663 111.095318 \nL 119.345836 110.32065 \nL 126.718858 109.573059 \nL 134.510227 109.016338 \nL 142.68498 108.642135 \nL 152.656874 108.42511 \nL 163.037054 108.432256 \nL 173.759697 108.651416 \nL 186.345791 109.147378 \nL 199.18518 109.891634 \nL 212.17139 110.872753 \nL 225.197511 112.082419 \nL 238.157481 113.515575 \nL 250.947331 115.17037 \nL 261.919643 116.80098 \nL 272.619825 118.604635 \nL 282.986291 120.585158 \nL 291.562178 122.427194 \nL 299.816126 124.406219 \nL 307.716434 126.525909 \nL 315.234004 128.789956 \nL 321.187186 130.789473 \nL 326.842478 132.893504 \nL 332.187624 135.103613 \nL 337.211785 137.42102 \nL 341.905642 139.846513 \nL 346.261398 142.380384 \nL 350.27273 145.022354 \nL 353.230576 147.213169 \nL 355.963169 149.471807 \nL 358.469355 151.797176 \nL 360.748632 154.187865 \nL 362.800987 156.642129 \nL 364.627049 159.157875 \nL 366.227996 161.732654 \nL 367.605498 164.363656 \nL 368.761772 167.047697 \nL 369.699494 169.781223 \nL 370.421796 172.560307 \nL 370.932269 175.380651 \nL 371.234869 178.237593 \nL 371.333918 181.126106 \nL 371.234092 184.040815 \nL 370.940364 186.976007 \nL 370.457926 189.925644 \nL 369.597906 193.6233 \nL 368.462716 197.320567 \nL 367.063788 201.003767 \nL 365.412876 204.658668 \nL 363.52186 208.270551 \nL 361.402699 211.824274 \nL 359.067307 215.304401 \nL 356.527506 218.69527 \nL 353.794901 221.981113 \nL 350.880811 225.14615 \nL 347.796236 228.174696 \nL 344.551763 231.051289 \nL 341.157534 233.760755 \nL 337.623175 236.288376 \nL 333.95781 238.619964 \nL 330.170016 240.741944 \nL 326.267782 242.641518 \nL 322.258554 244.306688 \nL 318.149191 245.726409 \nL 313.946027 246.890649 \nL 310.519886 247.632041 \nL 307.040168 248.200116 \nL 303.509422 248.59134 \nL 299.930021 248.802648 \nL 296.304159 248.831545 \nL 292.633901 248.676046 \nL 288.921167 248.334733 \nL 285.167793 247.806722 \nL 281.375505 247.091712 \nL 276.582976 245.935433 \nL 271.735447 244.489127 \nL 266.836066 242.755891 \nL 261.888029 240.740137 \nL 256.894662 238.44755 \nL 251.859482 235.885108 \nL 246.786274 233.060977 \nL 241.679183 229.984463 \nL 236.542756 226.665946 \nL 230.347459 222.3804 \nL 224.126973 217.784267 \nL 217.892343 212.900709 \nL 211.656023 207.754394 \nL 204.396899 201.452952 \nL 197.179469 194.872246 \nL 190.031701 188.056768 \nL 182.984641 181.052003 \nL 175.097999 172.87379 \nL 167.442918 164.577145 \nL 160.07926 156.230041 \nL 153.925048 148.937204 \nL 148.087105 141.699722 \nL 142.611091 134.559002 \nL 137.543214 127.554449 \nL 133.559128 121.687133 \nL 129.937342 115.969075 \nL 126.705612 110.420712 \nL 124.329693 105.940378 \nL 122.25773 101.601108 \nL 120.503425 97.412161 \nL 119.079457 93.38199 \nL 118.185903 90.277319 \nL 117.516435 87.282669 \nL 117.075798 84.401214 \nL 116.868096 81.635787 \nL 116.896794 78.988892 \nL 117.164682 76.462688 \nL 117.673818 74.059023 \nL 118.425562 71.779409 \nL 119.420497 69.625079 \nL 120.658429 67.596962 \nL 122.13837 65.695688 \nL 123.858557 63.921645 \nL 125.816403 62.274948 \nL 128.008538 60.755483 \nL 130.430785 59.36294 \nL 133.078182 58.096779 \nL 135.944993 56.95629 \nL 139.02472 55.940607 \nL 143.162719 54.844964 \nL 147.606365 53.940563 \nL 152.338324 53.22495 \nL 157.339738 52.695531 \nL 162.590311 52.349596 \nL 168.068435 52.184426 \nL 174.91046 52.221001 \nL 182.00613 52.509382 \nL 189.31248 53.045266 \nL 196.785228 53.824676 \nL 204.379164 54.844114 \nL 212.048554 56.100472 \nL 219.74757 57.5912 \nL 227.430687 59.314242 \nL 235.05309 61.26805 \nL 242.571056 63.451515 \nL 248.725709 65.445962 \nL 254.754946 67.599106 \nL 260.636268 69.910777 \nL 266.348294 72.380861 \nL 271.870888 75.009226 \nL 277.185255 77.795676 \nL 282.274033 80.739866 \nL 287.121345 83.841273 \nL 291.712918 87.099105 \nL 295.193471 89.817241 \nL 298.496483 92.634005 \nL 301.616925 95.548448 \nL 304.550446 98.559393 \nL 307.29341 101.665441 \nL 309.842855 104.864944 \nL 312.196501 108.155977 \nL 314.352764 111.536329 \nL 316.3107 115.003469 \nL 318.070037 118.554544 \nL 319.631115 122.186371 \nL 320.994885 125.89541 \nL 322.162844 129.677761 \nL 323.137096 133.529166 \nL 323.920236 137.444975 \nL 324.515352 141.420171 \nL 324.925999 145.449356 \nL 325.156156 149.526752 \nL 325.196711 154.681882 \nL 324.971333 159.889871 \nL 324.490038 165.137016 \nL 323.763437 170.408773 \nL 322.802665 175.68981 \nL 321.619213 180.964047 \nL 320.224847 186.214734 \nL 318.631481 191.424523 \nL 316.851084 196.57554 \nL 314.89556 201.649498 \nL 312.776702 206.627765 \nL 310.034733 212.448814 \nL 307.093534 218.072139 \nL 304.503769 222.583593 \nL 301.798805 226.916256 \nL 298.988372 231.051679 \nL 296.081668 234.971816 \nL 293.087327 238.659213 \nL 290.013368 242.097053 \nL 286.86724 245.269342 \nL 283.655782 248.161017 \nL 280.385235 250.758041 \nL 277.730081 252.614824 \nL 275.043393 254.268747 \nL 272.327601 255.714328 \nL 269.584935 256.946669 \nL 266.817423 257.961475 \nL 264.02691 258.755046 \nL 261.215097 259.324334 \nL 258.383523 259.666957 \nL 255.533616 259.781179 \nL 252.666682 259.665956 \nL 249.783946 259.320907 \nL 246.886572 258.746367 \nL 243.975667 257.943321 \nL 241.052322 256.913442 \nL 238.117619 255.659041 \nL 235.172667 254.18312 \nL 232.21861 252.489311 \nL 228.515086 250.072104 \nL 224.801784 247.330651 \nL 221.081521 244.275878 \nL 217.357445 240.920008 \nL 213.633085 237.276429 \nL 209.912409 233.359631 \nL 205.458767 228.320648 \nL 201.025571 222.938844 \nL 196.622704 217.24403 \nL 192.261299 211.267208 \nL 187.242046 203.980413 \nL 182.318174 196.404888 \nL 177.514078 188.592829 \nL 172.856476 180.596355 \nL 168.374242 172.466998 \nL 164.098167 164.255178 \nL 160.060658 156.009761 \nL 156.295358 147.777651 \nL 153.310718 140.766024 \nL 150.573243 133.823558 \nL 148.104701 126.975313 \nL 145.926497 120.244738 \nL 144.059394 113.653606 \nL 142.755428 108.282022 \nL 141.69208 103.031886 \nL 140.879452 97.913015 \nL 140.326783 92.934368 \nL 140.04238 88.104051 \nL 140.033502 83.429349 \nL 140.22889 79.806001 \nL 140.60706 76.289344 \nL 141.170013 72.882013 \nL 141.919156 69.586326 \nL 142.855317 66.404322 \nL 143.978714 63.337736 \nL 145.288912 60.388073 \nL 146.784848 57.556573 \nL 148.464778 54.844229 \nL 150.326312 52.251819 \nL 152.366382 49.779928 \nL 154.581242 47.428963 \nL 156.966496 45.199138 \nL 159.517067 43.090548 \nL 162.227245 41.103133 \nL 165.09069 39.236723 \nL 168.874854 37.073511 \nL 172.872666 35.098334 \nL 177.067861 33.310414 \nL 181.442888 31.7089 \nL 185.979023 30.292889 \nL 190.656481 29.061513 \nL 195.454518 28.013958 \nL 200.351589 27.149505 \nL 205.32547 26.467553 \nL 210.3534 25.96766 \nL 216.425659 25.607732 \nL 222.502007 25.509459 \nL 228.541942 25.673088 \nL 233.518375 26.009991 \nL 238.418647 26.529801 \nL 243.220299 27.233255 \nL 247.901488 28.121228 \nL 252.441135 29.194714 \nL 256.819061 30.454773 \nL 261.016108 31.902506 \nL 265.014262 33.539018 \nL 268.796758 35.365355 \nL 271.657075 36.963752 \nL 274.362245 38.684669 \nL 276.905642 40.52846 \nL 279.281286 42.495366 \nL 281.483826 44.585517 \nL 283.508592 46.798933 \nL 285.351582 49.135454 \nL 287.009462 51.59477 \nL 288.479604 54.176385 \nL 289.760035 56.879599 \nL 290.849486 59.703509 \nL 291.747322 62.646946 \nL 292.453594 65.708537 \nL 292.968967 68.886619 \nL 293.294731 72.179267 \nL 293.43278 75.58427 \nL 293.385565 79.099121 \nL 293.070645 83.642845 \nL 292.477971 88.347604 \nL 291.61567 93.206441 \nL 290.492902 98.211563 \nL 289.119774 103.354393 \nL 287.507193 108.625504 \nL 285.272393 115.105718 \nL 282.730597 121.736663 \nL 279.903785 128.497424 \nL 276.8145 135.365475 \nL 272.909042 143.481578 \nL 268.713613 151.670081 \nL 264.263902 159.887685 \nL 259.59455 168.088841 \nL 254.031692 177.380473 \nL 248.271811 186.515254 \nL 243.104111 194.320466 \nL 237.844641 201.89712 \nL 232.517074 209.194227 \nL 227.142517 216.161348 \nL 222.512501 221.833092 \nL 217.871905 227.196038 \nL 213.229728 232.221294 \nL 208.593796 236.881468 \nL 204.7402 240.467519 \nL 200.899063 243.768422 \nL 197.073397 246.771512 \nL 193.265873 249.465277 \nL 189.478878 251.839488 \nL 185.714593 253.885272 \nL 182.720884 255.280374 \nL 179.744007 256.457349 \nL 176.784952 257.41369 \nL 173.844729 258.147519 \nL 170.924362 258.657641 \nL 168.024948 258.943489 \nL 165.147657 259.00517 \nL 162.293742 258.843454 \nL 159.464599 258.459766 \nL 156.66174 257.856189 \nL 153.886843 257.03544 \nL 151.141747 256.000858 \nL 148.428482 254.756411 \nL 145.749277 253.30665 \nL 143.10658 251.656695 \nL 140.50306 249.812212 \nL 137.308192 247.242473 \nL 134.185268 244.391544 \nL 131.141083 241.273603 \nL 128.183031 237.903767 \nL 125.319129 234.297994 \nL 122.557946 230.473004 \nL 119.908686 226.446123 \nL 117.381039 222.235103 \nL 114.985221 217.858098 \nL 112.731933 213.333462 \nL 110.632243 208.679664 \nL 108.697562 203.915164 \nL 106.939598 199.058293 \nL 105.370173 194.127148 \nL 104.001258 189.139488 \nL 102.844778 184.112631 \nL 101.912545 179.063365 \nL 101.216185 174.007883 \nL 100.76695 168.961691 \nL 100.575689 163.939561 \nL 100.652637 158.95547 \nL 100.913768 155.004442 \nL 101.357229 151.092508 \nL 101.987206 147.225629 \nL 102.807459 143.409393 \nL 103.82134 139.649014 \nL 105.031695 135.949328 \nL 106.44089 132.314798 \nL 108.050755 128.74952 \nL 109.862537 125.257219 \nL 111.876921 121.841271 \nL 114.093942 118.504703 \nL 116.51305 115.250214 \nL 119.133012 112.080179 \nL 121.951923 108.996682 \nL 124.967228 106.00151 \nL 128.175651 103.096188 \nL 131.573247 100.281997 \nL 135.15537 97.560009 \nL 138.916679 94.931064 \nL 143.861074 91.776756 \nL 149.062746 88.769876 \nL 154.506849 85.911119 \nL 160.176977 83.200917 \nL 166.055217 80.639538 \nL 172.122251 78.227172 \nL 178.35743 75.963955 \nL 184.738884 73.850069 \nL 192.557267 71.510874 \nL 200.511545 69.38777 \nL 208.558398 67.481801 \nL 216.653122 65.794545 \nL 224.749999 64.328021 \nL 232.802674 63.084858 \nL 240.764561 62.068236 \nL 248.589246 61.281874 \nL 256.230893 60.730032 \nL 263.644656 60.417395 \nL 270.787074 60.348992 \nL 277.616494 60.530138 \nL 283.040017 60.875613 \nL 288.197167 61.401277 \nL 293.067758 62.110177 \nL 297.633091 63.005226 \nL 301.876055 64.089144 \nL 305.027888 65.093917 \nL 307.956418 66.222246 \nL 310.655305 67.475053 \nL 313.119005 68.853108 \nL 315.34276 70.35696 \nL 317.322603 71.986919 \nL 319.055356 73.743082 \nL 320.538698 75.625281 \nL 321.771097 77.633039 \nL 322.751831 79.765619 \nL 323.48096 82.021963 \nL 323.959362 84.400691 \nL 324.188616 86.900093 \nL 324.171077 89.518127 \nL 323.909798 92.252394 \nL 323.408528 95.100144 \nL 322.671648 98.058273 \nL 321.704142 101.123318 \nL 320.178987 105.099114 \nL 318.314246 109.227718 \nL 316.123065 113.500015 \nL 313.619634 117.906052 \nL 310.818994 122.435051 \nL 307.088132 128.015824 \nL 302.980267 133.735562 \nL 298.524496 139.571392 \nL 292.925782 146.494212 \nL 286.940758 153.501534 \nL 280.615986 160.550942 \nL 273.996949 167.598465 \nL 267.127472 174.598967 \nL 260.049259 181.506557 \nL 252.801557 188.275028 \nL 245.420858 194.858329 \nL 237.940713 201.211015 \nL 231.473226 206.43899 \nL 224.972595 211.437952 \nL 218.454653 216.182009 \nL 211.933686 220.646571 \nL 205.422529 224.808605 \nL 200.012386 228.030461 \nL 194.623058 231.016131 \nL 189.260029 233.755344 \nL 183.92832 236.238916 \nL 178.632578 238.458832 \nL 173.377123 240.408283 \nL 168.166049 242.081715 \nL 163.003285 243.474878 \nL 157.89267 244.58484 \nL 152.838044 245.410026 \nL 147.843296 245.950249 \nL 142.912479 246.206678 \nL 139.016677 246.209132 \nL 135.166792 246.033432 \nL 130.42269 245.567084 \nL 125.759172 244.832184 \nL 121.181702 243.835894 \nL 116.696216 242.586585 \nL 112.30912 241.093706 \nL 108.027339 239.367776 \nL 103.85835 237.420292 \nL 99.810168 235.263589 \nL 95.89139 232.910835 \nL 92.111096 230.375846 \nL 88.478957 227.67304 \nL 85.005139 224.817302 \nL 81.700217 221.823878 \nL 78.575259 218.708284 \nL 75.641664 215.486185 \nL 72.911162 212.173282 \nL 70.395681 208.785225 \nL 68.107337 205.337484 \nL 66.05831 201.845261 \nL 64.260751 198.323392 \nL 62.72669 194.786274 \nL 61.46796 191.247761 \nL 60.496052 187.721081 \nL 59.932516 184.916716 \nL 59.565076 182.134058 \nL 59.398901 179.37887 \nL 59.438884 176.656571 \nL 59.689587 173.972233 \nL 60.15523 171.330561 \nL 60.839619 168.735886 \nL 61.746184 166.192166 \nL 62.877865 163.702974 \nL 64.237164 161.271503 \nL 65.826072 158.900562 \nL 67.646063 156.592586 \nL 69.698075 154.349638 \nL 71.98245 152.173417 \nL 74.499007 150.065272 \nL 77.246944 148.026215 \nL 80.224867 146.056932 \nL 83.430786 144.157805 \nL 87.754745 141.882668 \nL 92.424364 139.716878 \nL 97.431706 137.659456 \nL 102.767316 135.708905 \nL 108.42031 133.863301 \nL 115.605387 131.783874 \nL 123.205719 129.847824 \nL 131.194597 128.050351 \nL 139.542648 126.386487 \nL 149.69346 124.607642 \nL 160.235356 122.99661 \nL 171.110143 121.546861 \nL 183.867002 120.080684 \nL 196.881828 118.812605 \nL 210.054484 117.74001 \nL 223.282101 116.863586 \nL 238.098771 116.117419 \nL 251.095839 115.676011 \nL 263.821458 115.455138 \nL 276.173798 115.469115 \nL 286.598341 115.687141 \nL 296.59843 116.110232 \nL 306.114166 116.751542 \nL 313.842405 117.485119 \nL 321.140811 118.397307 \nL 327.979292 119.496222 \nL 333.306922 120.560132 \nL 338.281998 121.76302 \nL 342.891899 123.108475 \nL 347.125579 124.599541 \nL 350.235274 125.898906 \nL 353.094116 127.293988 \nL 355.698757 128.785422 \nL 358.046543 130.373521 \nL 360.135542 132.058254 \nL 361.964532 133.839216 \nL 363.53295 135.715637 \nL 364.840936 137.68634 \nL 365.8893 139.749742 \nL 366.679518 141.903851 \nL 367.21367 144.146244 \nL 367.494489 146.474075 \nL 367.525269 148.884066 \nL 367.309838 151.372508 \nL 366.852588 153.93527 \nL 366.158377 156.567798 \nL 365.232535 159.265124 \nL 364.0808 162.021881 \nL 362.332829 165.542595 \nL 360.254143 169.135087 \nL 357.858153 172.786443 \nL 355.158796 176.482962 \nL 352.170469 180.210208 \nL 348.907885 183.953118 \nL 345.385977 187.696063 \nL 341.619746 191.42296 \nL 336.798805 195.850863 \nL 331.673183 200.203023 \nL 326.268 204.450233 \nL 320.607654 208.563285 \nL 315.712783 211.867447 \nL 310.670169 215.041861 \nL 305.492341 218.070438 \nL 300.191283 220.937583 \nL 294.778387 223.628301 \nL 289.264465 226.128309 \nL 283.659698 228.424129 \nL 277.973718 230.503202 \nL 272.215587 232.35399 \nL 266.393833 233.966033 \nL 260.516513 235.330025 \nL 254.591247 236.437933 \nL 248.625259 237.283 \nL 242.625477 237.859833 \nL 236.598571 238.164429 \nL 230.551029 238.19422 \nL 224.489245 237.948081 \nL 218.419584 237.42634 \nL 212.348463 236.630777 \nL 206.282426 235.564625 \nL 200.228227 234.232514 \nL 194.192897 232.640476 \nL 188.183821 230.79586 \nL 182.20879 228.707303 \nL 176.276074 226.384668 \nL 170.394475 223.838963 \nL 164.573356 221.082251 \nL 158.822697 218.127598 \nL 153.153113 214.988939 \nL 147.575866 211.681 \nL 141.02188 207.50977 \nL 134.639895 203.144725 \nL 128.453063 198.614523 \nL 122.485732 193.948468 \nL 116.763353 189.176259 \nL 111.312344 184.327702 \nL 106.159831 179.432441 \nL 101.333493 174.519703 \nL 96.861298 169.618048 \nL 92.771154 164.755122 \nL 89.674506 160.751437 \nL 86.878033 156.807725 \nL 84.396943 152.93791 \nL 82.245905 149.155123 \nL 80.4388 145.47164 \nL 79.249563 142.604029 \nL 78.295091 139.81266 \nL 77.581158 137.102517 \nL 77.11308 134.478175 \nL 76.895626 131.94379 \nL 76.933013 129.503096 \nL 77.228845 127.159393 \nL 77.786116 124.915564 \nL 78.607135 122.774059 \nL 79.693539 120.736916 \nL 81.046264 118.805759 \nL 82.665505 116.981809 \nL 84.550736 115.265896 \nL 86.700664 113.658468 \nL 89.113256 112.159633 \nL 91.785709 110.769127 \nL 94.714467 109.486392 \nL 97.895221 108.310551 \nL 102.217786 106.989306 \nL 106.914719 105.83049 \nL 111.972849 104.830783 \nL 117.37738 103.986411 \nL 123.11189 103.293221 \nL 130.403585 102.654698 \nL 138.111083 102.219474 \nL 146.198227 101.979331 \nL 156.0616 101.934777 \nL 166.324712 102.131886 \nL 176.919977 102.558719 \nL 187.777453 103.204379 \nL 200.415228 104.198056 \nL 213.193805 105.453383 \nL 226.004853 106.961521 \nL 237.156885 108.483873 \nL 248.181478 110.193264 \nL 259.010504 112.089309 \nL 269.578555 114.173111 \nL 279.823488 116.446988 \nL 288.303373 118.549793 \nL 296.468722 120.797105 \nL 304.287806 123.191534 \nL 311.731584 125.735671 \nL 317.629056 127.971879 \nL 323.234075 130.314885 \nL 328.534516 132.765586 \nL 333.519791 135.324528 \nL 338.180812 137.991827 \nL 342.510042 140.7671 \nL 345.730424 143.064438 \nL 348.73222 145.429505 \nL 351.513681 147.861242 \nL 354.073662 150.358297 \nL 356.411638 152.919002 \nL 358.527655 155.541364 \nL 360.422341 158.22305 \nL 362.096886 160.961379 \nL 363.552971 163.753313 \nL 364.792801 166.595453 \nL 365.819087 169.484034 \nL 366.634973 172.414928 \nL 367.244003 175.383639 \nL 367.650146 178.385321 \nL 367.85771 181.414764 \nL 367.871339 184.466426 \nL 367.695994 187.534431 \nL 367.336844 190.612585 \nL 366.637717 194.46463 \nL 365.67084 198.309077 \nL 364.447599 202.132003 \nL 362.979556 205.918949 \nL 361.278439 209.654987 \nL 359.356026 213.324792 \nL 357.224048 216.912765 \nL 354.89411 220.403111 \nL 352.377576 223.779939 \nL 349.685538 227.027388 \nL 346.828742 230.129699 \nL 343.81749 233.071356 \nL 340.66165 235.837198 \nL 337.370562 238.412499 \nL 333.953043 240.783106 \nL 330.417346 242.935523 \nL 326.771155 244.857015 \nL 323.021549 246.535725 \nL 319.175077 247.960734 \nL 316.032179 248.911407 \nL 312.833909 249.688824 \nL 309.582856 250.28893 \nL 306.281421 250.708147 \nL 302.931794 250.94342 \nL 299.53601 250.992242 \nL 296.095937 250.852621 \nL 292.613309 250.523132 \nL 289.089721 250.002932 \nL 285.526686 249.291702 \nL 281.019596 248.134503 \nL 276.455767 246.681041 \nL 271.837794 244.934451 \nL 267.16829 242.899161 \nL 262.449925 240.580936 \nL 257.685546 237.98679 \nL 252.878211 235.124915 \nL 248.031281 232.004663 \nL 242.167998 227.934083 \nL 236.260421 223.526428 \nL 230.316942 218.803493 \nL 224.347188 213.78874 \nL 217.364006 207.602694 \nL 210.380072 201.095101 \nL 203.418298 194.309432 \nL 195.522553 186.27134 \nL 187.733431 177.996668 \nL 180.099796 169.554067 \nL 172.675426 161.011861 \nL 165.518578 152.437252 \nL 158.691325 143.895579 \nL 153.038903 136.498079 \nL 147.733391 129.214048 \nL 142.820147 122.081496 \nL 138.95529 116.115535 \nL 135.439848 110.308057 \nL 132.301015 104.678542 \nL 129.991817 100.136221 \nL 127.976507 95.73953 \nL 126.268468 91.497227 \nL 124.880064 87.417282 \nL 123.822507 83.506873 \nL 123.221378 80.504916 \nL 122.842807 77.618453 \nL 122.69061 74.850051 \nL 122.767963 72.201974 \nL 123.077366 69.676151 \nL 123.620608 67.27423 \nL 124.398764 64.997574 \nL 125.412135 62.84722 \nL 126.660261 60.823983 \nL 128.141916 58.928385 \nL 129.855095 57.160727 \nL 131.796996 55.521071 \nL 133.964018 54.009258 \nL 136.351793 52.624951 \nL 138.955176 51.367618 \nL 141.768279 50.236579 \nL 144.784447 49.231035 \nL 148.828959 48.149128 \nL 153.163363 47.259773 \nL 157.770182 46.560747 \nL 162.630477 46.049695 \nL 167.723925 45.724208 \nL 173.028974 45.581842 \nL 179.64238 45.649368 \nL 186.486892 45.97319 \nL 193.519976 46.54958 \nL 200.69791 47.3752 \nL 207.976175 48.4471 \nL 215.309871 49.76281 \nL 222.65413 51.320284 \nL 229.964517 53.117963 \nL 237.197434 55.154723 \nL 243.135056 57.034098 \nL 248.965704 59.078677 \nL 254.666571 61.288321 \nL 260.215874 63.662904 \nL 265.592983 66.202338 \nL 270.778516 68.9065 \nL 275.75445 71.775158 \nL 280.504218 74.807907 \nL 285.012749 78.004111 \nL 288.436768 80.678158 \nL 291.691572 83.455597 \nL 294.771682 86.335614 \nL 297.672291 89.317206 \nL 300.3893 92.399157 \nL 302.91928 95.58001 \nL 305.259491 98.858047 \nL 307.407877 102.231284 \nL 309.363041 105.697445 \nL 311.124258 109.253931 \nL 312.691419 112.897833 \nL 314.065039 116.625894 \nL 315.246226 120.434509 \nL 316.236691 124.319713 \nL 317.03864 128.277166 \nL 317.654805 132.302161 \nL 318.08841 136.389611 \nL 318.343104 140.534045 \nL 318.416107 145.785776 \nL 318.224687 151.105131 \nL 317.778401 156.478958 \nL 317.087484 161.893231 \nL 316.162705 167.33309 \nL 315.015292 172.782878 \nL 313.656781 178.226202 \nL 312.09895 183.645994 \nL 310.353688 189.02459 \nL 308.028672 195.398898 \nL 305.471183 201.655467 \nL 302.701128 207.761448 \nL 299.737829 213.683608 \nL 296.599825 219.38865 \nL 293.304724 224.843471 \nL 290.450809 229.174492 \nL 287.508331 233.290688 \nL 284.485703 237.174171 \nL 281.390792 240.807725 \nL 278.230835 244.174931 \nL 275.012482 247.260238 \nL 271.741832 250.04915 \nL 268.424396 252.528338 \nL 265.740121 254.280516 \nL 263.031418 255.821111 \nL 260.300405 257.145146 \nL 257.549026 258.248218 \nL 254.77906 259.126574 \nL 251.992131 259.777097 \nL 249.189739 260.197341 \nL 246.373272 260.385554 \nL 243.544019 260.340637 \nL 240.703205 260.062219 \nL 237.851998 259.5506 \nL 234.991538 258.806782 \nL 232.122955 257.832455 \nL 229.24739 256.629976 \nL 226.366018 255.202381 \nL 223.48007 253.553347 \nL 220.590852 251.687185 \nL 216.976875 249.056651 \nL 213.362981 246.105403 \nL 209.752505 242.845609 \nL 206.149178 239.290669 \nL 202.557169 235.455096 \nL 198.981137 231.354424 \nL 194.718322 226.106883 \nL 190.496026 220.53114 \nL 186.325479 214.658342 \nL 182.219171 208.520653 \nL 177.528087 201.069052 \nL 172.96719 193.354446 \nL 168.56269 185.429789 \nL 164.342845 177.347613 \nL 160.337749 169.159465 \nL 156.578973 160.915433 \nL 153.578017 153.841236 \nL 150.803091 146.790464 \nL 148.275387 139.790774 \nL 146.015976 132.868314 \nL 144.045571 126.047624 \nL 142.638828 120.457986 \nL 141.457852 114.967209 \nL 140.51319 109.586719 \nL 139.814732 104.327068 \nL 139.37154 99.197942 \nL 139.191776 94.208159 \nL 139.282575 89.365665 \nL 139.554105 85.602528 \nL 140.005187 81.941486 \nL 140.63781 78.385465 \nL 141.453416 74.937086 \nL 142.452845 71.598662 \nL 143.636348 68.37221 \nL 145.003553 65.259476 \nL 146.553456 62.261921 \nL 148.284391 59.380776 \nL 150.194049 56.617041 \nL 152.279447 53.971496 \nL 154.536954 51.444735 \nL 156.962271 49.037155 \nL 159.550436 46.749004 \nL 162.295858 44.58039 \nL 165.192294 42.531303 \nL 169.014721 40.137848 \nL 173.047699 37.93056 \nL 177.275177 35.90889 \nL 181.67982 34.072174 \nL 186.243089 32.419713 \nL 190.94537 30.950815 \nL 195.766082 29.664825 \nL 200.683805 28.561168 \nL 205.676416 27.639392 \nL 210.721229 26.89916 \nL 216.811367 26.250338 \nL 222.903013 25.862824 \nL 228.955617 25.737054 \nL 234.928846 25.873894 \nL 239.81722 26.189401 \nL 244.600387 26.688993 \nL 249.256485 27.37369 \nL 253.764419 28.244634 \nL 258.103993 29.303038 \nL 262.256052 30.550142 \nL 266.202579 31.987212 \nL 269.926815 33.615453 \nL 272.735773 35.056446 \nL 275.385376 36.621005 \nL 277.869027 38.309571 \nL 280.180763 40.122492 \nL 282.315279 42.059987 \nL 284.267945 44.122154 \nL 286.034816 46.308985 \nL 287.612644 48.620249 \nL 288.998847 51.055565 \nL 290.191542 53.614368 \nL 291.189548 56.295867 \nL 291.992342 59.099072 \nL 292.600081 62.022725 \nL 293.013546 65.065339 \nL 293.234173 68.225142 \nL 293.263992 71.500114 \nL 293.105609 74.887919 \nL 292.647839 79.27734 \nL 291.9083 83.833183 \nL 290.895477 88.548928 \nL 289.618922 93.417267 \nL 288.089132 98.430098 \nL 285.935104 104.623654 \nL 283.453637 110.995562 \nL 280.666751 117.527313 \nL 277.597314 124.198769 \nL 273.690422 132.129665 \nL 269.468318 140.184038 \nL 264.968385 148.322154 \nL 259.532377 157.671197 \nL 253.834083 167.008027 \nL 247.923386 176.263054 \nL 241.846633 185.364216 \nL 235.646131 194.237775 \nL 229.359817 202.809182 \nL 223.81528 210.002826 \nL 218.250231 216.859099 \nL 212.681626 223.33017 \nL 207.916766 228.535314 \nL 203.167795 233.396099 \nL 198.441411 237.886587 \nL 194.524155 241.328341 \nL 190.629415 244.483326 \nL 186.759693 247.339799 \nL 182.917209 249.887257 \nL 179.103966 252.116436 \nL 175.321808 254.019447 \nL 172.31966 255.302629 \nL 169.339442 256.370279 \nL 166.382068 257.220385 \nL 163.44849 257.851566 \nL 160.539729 258.263096 \nL 157.65687 258.454878 \nL 154.80112 258.427469 \nL 151.973811 258.182056 \nL 149.176407 257.720473 \nL 146.410519 257.04519 \nL 143.677954 256.159297 \nL 140.980702 255.066462 \nL 138.320957 253.770961 \nL 135.701122 252.277603 \nL 133.123836 250.591764 \nL 129.966463 248.222778 \nL 126.886222 245.574744 \nL 123.889862 242.661267 \nL 120.984731 239.496894 \nL 118.17878 236.097019 \nL 115.480556 232.477785 \nL 112.899194 228.655965 \nL 110.444356 224.648811 \nL 108.126205 220.473967 \nL 105.955353 216.149313 \nL 103.942833 211.692872 \nL 102.099952 207.122668 \nL 100.438338 202.456645 \nL 98.969746 197.712517 \nL 97.706031 192.907696 \nL 96.659015 188.059179 \nL 95.840397 183.183469 \nL 95.261688 178.296486 \nL 94.934026 173.413493 \nL 94.868123 168.549034 \nL 95.074087 163.716879 \nL 95.440989 159.883148 \nL 95.99244 156.084637 \nL 96.732545 152.327224 \nL 97.665018 148.616423 \nL 98.793132 144.957378 \nL 100.119697 141.354862 \nL 101.647023 137.813278 \nL 103.376872 134.336665 \nL 105.310479 130.928698 \nL 107.448459 127.592706 \nL 109.790837 124.33167 \nL 112.33703 121.148247 \nL 115.085756 118.044774 \nL 118.035118 115.023293 \nL 121.182531 112.085559 \nL 124.524727 109.233075 \nL 128.057754 106.467096 \nL 131.77697 103.788656 \nL 136.679655 100.56495 \nL 141.85299 97.480563 \nL 147.283459 94.536382 \nL 152.955947 91.733013 \nL 158.85379 89.07085 \nL 164.958838 86.550155 \nL 171.251567 84.171086 \nL 177.711123 81.933821 \nL 185.651669 79.436594 \nL 193.760428 77.144463 \nL 201.995224 75.058367 \nL 210.312213 73.179675 \nL 218.666234 71.510281 \nL 227.011172 70.052656 \nL 235.300339 68.809874 \nL 243.486866 67.785618 \nL 251.524105 66.984131 \nL 259.366039 66.410211 \nL 266.967677 66.069111 \nL 274.285458 65.966428 \nL 281.277645 66.108015 \nL 286.827154 66.41688 \nL 292.101515 66.902931 \nL 297.080537 67.569501 \nL 301.745536 68.419766 \nL 306.079425 69.456677 \nL 309.297732 70.422396 \nL 312.28718 71.510467 \nL 315.041474 72.721926 \nL 317.555093 74.057579 \nL 319.823324 75.518037 \nL 321.842213 77.103673 \nL 323.608684 78.814605 \nL 325.120427 80.650665 \nL 326.375967 82.611394 \nL 327.374618 84.696024 \nL 328.11654 86.903476 \nL 328.602626 89.232323 \nL 328.834555 91.680795 \nL 328.814729 94.246774 \nL 328.546293 96.927778 \nL 328.033064 99.720963 \nL 327.279502 102.623101 \nL 326.290695 105.630619 \nL 325.072268 108.739553 \nL 323.23579 112.761736 \nL 321.063337 116.926383 \nL 318.569065 121.2234 \nL 315.768007 125.641859 \nL 312.024072 131.087748 \nL 307.889543 136.669867 \nL 303.393686 142.365035 \nL 298.566268 148.148727 \nL 292.555158 154.973886 \nL 286.180708 161.841897 \nL 279.489205 168.708627 \nL 272.525413 175.528804 \nL 265.332126 182.256457 \nL 257.949769 188.845366 \nL 250.416075 195.249535 \nL 242.765913 201.423688 \nL 236.140173 206.499298 \nL 229.470641 211.346742 \nL 222.77403 215.9404 \nL 216.065502 220.256043 \nL 209.358765 224.27103 \nL 203.780138 227.372101 \nL 198.217858 230.238891 \nL 192.677897 232.861455 \nL 187.165767 235.230928 \nL 181.686588 237.339651 \nL 176.245161 239.181184 \nL 170.846037 240.750366 \nL 165.493602 242.043289 \nL 160.192166 243.057467 \nL 154.945995 243.791704 \nL 149.759443 244.246194 \nL 144.63696 244.42246 \nL 139.583226 244.323425 \nL 134.603164 243.953305 \nL 129.70204 243.317607 \nL 124.885472 242.423107 \nL 120.159527 241.277756 \nL 115.530703 239.890642 \nL 111.006017 238.27193 \nL 106.592979 236.432744 \nL 102.299684 234.385153 \nL 98.13472 232.142008 \nL 94.107244 229.716875 \nL 90.226906 227.123943 \nL 86.503893 224.37788 \nL 82.948851 221.493781 \nL 79.572846 218.487034 \nL 76.387348 215.373198 \nL 73.404142 212.167907 \nL 70.635248 208.886757 \nL 68.092851 205.545229 \nL 65.789267 202.158531 \nL 63.736798 198.741564 \nL 61.947655 195.308781 \nL 60.433888 191.874133 \nL 59.207206 188.450974 \nL 58.440187 185.729262 \nL 57.869756 183.029192 \nL 57.501219 180.356599 \nL 57.33964 177.716985 \nL 57.389776 175.115498 \nL 57.656006 172.556931 \nL 58.142389 170.045693 \nL 58.852526 167.585817 \nL 59.789619 165.18095 \nL 60.956389 162.83435 \nL 62.355077 160.548889 \nL 63.987398 158.327053 \nL 65.854564 156.170945 \nL 67.957192 154.082297 \nL 70.295397 152.062476 \nL 72.868641 150.1125 \nL 75.675827 148.233047 \nL 78.715297 146.424473 \nL 82.83766 144.263486 \nL 87.313468 142.212796 \nL 92.135404 140.271264 \nL 97.294663 138.437192 \nL 102.781025 136.708403 \nL 109.779884 134.769177 \nL 117.210096 132.972784 \nL 125.046125 131.313722 \nL 133.259809 129.78625 \nL 143.278781 128.162811 \nL 153.717466 126.701746 \nL 166.088901 125.220359 \nL 178.845362 123.930014 \nL 191.892553 122.822786 \nL 206.795849 121.790009 \nL 221.798923 120.980916 \nL 236.755283 120.399361 \nL 251.517825 120.055009 \nL 264.359529 119.960249 \nL 276.832822 120.078873 \nL 288.840938 120.427502 \nL 298.893736 120.93582 \nL 308.461226 121.647742 \nL 316.234176 122.430327 \nL 323.578556 123.381002 \nL 330.46507 124.507988 \nL 335.834901 125.5874 \nL 340.854545 126.798691 \nL 345.511746 128.145509 \nL 349.795791 129.630969 \nL 353.697533 131.257585 \nL 356.538562 132.661767 \nL 359.127036 134.158066 \nL 361.460518 135.746745 \nL 363.537295 137.427717 \nL 365.356349 139.200527 \nL 366.91729 141.064335 \nL 368.220416 143.017906 \nL 369.266677 145.059595 \nL 370.057626 147.187342 \nL 370.595437 149.398661 \nL 370.882876 151.690641 \nL 370.923271 154.059943 \nL 370.720486 156.502802 \nL 370.278865 159.015027 \nL 369.603269 161.592014 \nL 368.698933 164.228748 \nL 367.571529 166.919823 \nL 365.857778 170.351226 \nL 363.817348 173.84635 \nL 361.46332 177.392251 \nL 358.809366 180.975221 \nL 355.869505 184.580852 \nL 352.658098 188.194117 \nL 349.189642 191.799474 \nL 345.478738 195.380934 \nL 341.53994 198.922188 \nL 336.532792 203.095305 \nL 331.242596 207.15787 \nL 326.635062 210.438112 \nL 321.860804 213.605075 \nL 316.932639 216.642494 \nL 311.862904 219.534479 \nL 306.663416 222.265615 \nL 301.345402 224.821101 \nL 295.919512 227.186819 \nL 290.395831 229.349456 \nL 284.783866 231.296613 \nL 279.092587 233.016848 \nL 273.330466 234.499853 \nL 267.505482 235.736445 \nL 261.625192 236.71868 \nL 255.696776 237.439881 \nL 249.727101 237.894734 \nL 243.722794 238.079307 \nL 237.690305 237.991076 \nL 231.635978 237.628944 \nL 225.566133 236.993264 \nL 219.487139 236.085808 \nL 213.405496 234.909816 \nL 207.327909 233.469903 \nL 201.261358 231.772056 \nL 195.213177 229.823588 \nL 189.191119 227.6331 \nL 183.203408 225.210381 \nL 177.258795 222.566372 \nL 171.366629 219.713065 \nL 165.536855 216.663443 \nL 159.780084 213.431363 \nL 152.984228 209.332697 \nL 146.330501 205.019007 \nL 139.841041 200.518065 \nL 133.539336 195.858537 \nL 127.450118 191.069719 \nL 121.599255 186.181272 \nL 116.013588 181.222947 \nL 110.720761 176.224327 \nL 105.748978 171.214567 \nL 101.126717 166.222153 \nL 96.882495 161.274666 \nL 93.654818 157.2052 \nL 90.725294 153.199939 \nL 88.109482 149.272781 \nL 85.822431 145.43684 \nL 83.878398 141.704391 \nL 82.290839 138.086807 \nL 81.285854 135.282489 \nL 80.522848 132.563277 \nL 80.007161 129.933653 \nL 79.743629 127.397687 \nL 79.736472 124.959028 \nL 79.989336 122.620893 \nL 80.505149 120.386088 \nL 81.28622 118.256988 \nL 82.334149 116.235564 \nL 83.649784 114.323368 \nL 85.233284 112.521562 \nL 87.08402 110.830919 \nL 89.200574 109.25185 \nL 91.580831 107.784391 \nL 94.221842 106.428258 \nL 97.119913 105.182846 \nL 100.270574 104.04725 \nL 103.668645 103.020302 \nL 108.255004 101.887217 \nL 113.205373 100.918403 \nL 118.504899 100.110145 \nL 124.137096 99.458361 \nL 131.309424 98.876573 \nL 138.901044 98.505842 \nL 146.875533 98.337984 \nL 155.19412 98.364808 \nL 165.279457 98.631471 \nL 175.709762 99.140065 \nL 186.414846 99.87942 \nL 197.322819 100.839582 \nL 208.360824 102.012075 \nL 219.455782 103.390029 \nL 230.53511 104.968252 \nL 241.527423 106.743256 \nL 252.363201 108.713185 \nL 262.975428 110.877664 \nL 273.300184 113.237631 \nL 281.875397 115.417521 \nL 290.159534 117.744165 \nL 298.119514 120.219492 \nL 305.724905 122.845492 \nL 311.771842 125.150283 \nL 317.538846 127.561932 \nL 323.012973 130.081142 \nL 328.182763 132.708302 \nL 333.038256 135.443434 \nL 337.571072 138.286091 \nL 341.774339 141.23531 \nL 344.896085 143.670388 \nL 347.801473 146.17159 \nL 350.489133 148.737538 \nL 352.958263 151.36655 \nL 355.20867 154.056632 \nL 357.24073 156.805457 \nL 359.055393 159.610359 \nL 360.654111 162.468324 \nL 362.038861 165.375986 \nL 363.212148 168.329617 \nL 364.176899 171.32513 \nL 364.936486 174.35808 \nL 365.494672 177.423667 \nL 365.855583 180.516739 \nL 366.02369 183.631806 \nL 366.003796 186.763049 \nL 365.800942 189.904328 \nL 365.298106 193.835198 \nL 364.528377 197.75847 \nL 363.502892 201.660316 \nL 362.232991 205.526348 \nL 360.730258 209.341708 \nL 359.00632 213.091127 \nL 357.072794 216.759037 \nL 354.941125 220.329652 \nL 352.622631 223.787081 \nL 350.128347 227.115441 \nL 347.468951 230.298925 \nL 344.654723 233.32194 \nL 341.695482 236.169247 \nL 338.600548 238.826004 \nL 335.378748 241.277934 \nL 332.038313 243.511399 \nL 328.586927 245.51348 \nL 325.031645 247.27214 \nL 321.378983 248.776258 \nL 318.390759 249.789462 \nL 315.346796 250.628613 \nL 312.249661 251.289532 \nL 309.101716 251.768508 \nL 305.905109 252.062371 \nL 302.66182 252.168464 \nL 299.373642 252.084679 \nL 296.042234 251.809467 \nL 292.669111 251.341808 \nL 289.255667 250.681279 \nL 285.803218 249.828002 \nL 281.434674 248.491464 \nL 277.009413 246.857466 \nL 272.529689 244.929943 \nL 267.997771 242.714136 \nL 263.416042 240.216554 \nL 258.787027 237.444938 \nL 254.113513 234.408178 \nL 248.450938 230.428255 \nL 242.734865 226.100214 \nL 236.972356 221.445221 \nL 231.171612 216.486176 \nL 224.368463 210.348969 \nL 217.543679 203.872164 \nL 210.717533 197.098636 \nL 202.944521 189.051031 \nL 195.23982 180.741418 \nL 187.648322 172.238163 \nL 180.220034 163.609517 \nL 173.009743 154.922821 \nL 166.076484 146.24377 \nL 159.482818 137.635744 \nL 153.293899 129.159208 \nL 148.263021 121.895028 \nL 143.637971 114.81101 \nL 140.030329 108.907681 \nL 136.780722 103.180633 \nL 133.915368 97.647766 \nL 131.839083 93.197235 \nL 130.060384 88.901589 \nL 128.591769 84.768682 \nL 127.444607 80.805598 \nL 126.765186 77.76167 \nL 126.302574 74.833358 \nL 126.060743 72.02321 \nL 126.043038 69.333492 \nL 126.252129 66.766136 \nL 126.690005 64.322822 \nL 127.357941 62.004907 \nL 128.256463 59.813498 \nL 129.385365 57.749418 \nL 130.743658 55.81326 \nL 132.329588 54.00537 \nL 134.140615 52.32588 \nL 136.173441 50.774685 \nL 138.423956 49.351519 \nL 140.887319 48.055938 \nL 143.557919 46.887332 \nL 146.429413 45.844975 \nL 150.290474 44.71824 \nL 154.439054 43.785526 \nL 158.858272 43.044781 \nL 163.529748 42.493789 \nL 168.433725 42.130293 \nL 173.549192 41.952008 \nL 179.935702 41.979372 \nL 186.554796 42.266425 \nL 193.364778 42.809668 \nL 200.322707 43.605904 \nL 207.384791 44.652335 \nL 214.506807 45.946578 \nL 221.644501 47.486686 \nL 228.753994 49.271188 \nL 235.792183 51.298977 \nL 241.572565 53.1741 \nL 247.250788 55.217378 \nL 252.804238 57.428642 \nL 258.211309 59.807777 \nL 263.451506 62.354677 \nL 268.50558 65.0692 \nL 273.355602 67.951098 \nL 277.985071 70.999955 \nL 282.378987 74.215115 \nL 285.71542 76.906383 \nL 288.886301 79.702862 \nL 291.886148 82.603742 \nL 294.710158 85.608023 \nL 297.35421 88.714487 \nL 299.814851 91.9217 \nL 302.089325 95.227956 \nL 304.175546 98.631293 \nL 306.072079 102.129451 \nL 307.778158 105.719854 \nL 309.293628 109.399627 \nL 310.618969 113.165544 \nL 311.755235 117.014042 \nL 312.704059 120.941184 \nL 313.46759 124.942685 \nL 314.048517 129.013876 \nL 314.449983 133.149714 \nL 314.704974 138.402128 \nL 314.693094 143.735632 \nL 314.423149 149.137885 \nL 313.904683 154.595649 \nL 313.14792 160.094807 \nL 312.163595 165.620409 \nL 310.962879 171.15671 \nL 309.557245 176.687228 \nL 307.958356 182.194798 \nL 305.801138 188.748554 \nL 303.402839 195.212 \nL 300.783477 201.552616 \nL 297.962617 207.737276 \nL 294.959152 213.732505 \nL 291.791152 219.504785 \nL 288.475762 225.020853 \nL 285.611981 229.398234 \nL 282.665723 233.556478 \nL 279.645136 237.47766 \nL 276.55776 241.144547 \nL 273.410557 244.540694 \nL 270.209909 247.650603 \nL 266.961629 250.459848 \nL 263.670999 252.955127 \nL 261.011203 254.717188 \nL 258.329557 256.26508 \nL 255.628077 257.593888 \nL 252.908615 258.699263 \nL 250.172869 259.57754 \nL 247.422394 260.225689 \nL 244.658621 260.641363 \nL 241.882889 260.822899 \nL 239.096446 260.769312 \nL 236.300485 260.480338 \nL 233.496151 259.956401 \nL 230.684573 259.198625 \nL 227.86688 258.208819 \nL 225.04422 256.989469 \nL 222.217786 255.543756 \nL 219.388835 253.875486 \nL 216.558704 251.989089 \nL 213.02159 249.332103 \nL 209.48799 246.353349 \nL 205.961346 243.065252 \nL 202.445509 239.481459 \nL 198.944778 235.616777 \nL 195.463948 231.486951 \nL 191.320756 226.204695 \nL 187.224175 220.594898 \nL 183.18566 214.68905 \nL 179.217915 208.519613 \nL 175.334873 202.119716 \nL 170.931983 194.406563 \nL 166.691088 186.47858 \nL 162.640225 178.388602 \nL 158.809165 170.188473 \nL 155.229083 161.928565 \nL 152.384619 154.837851 \nL 149.76887 147.768035 \nL 147.402613 140.746899 \nL 145.306434 133.800709 \nL 143.500523 126.95409 \nL 142.2314 121.341229 \nL 141.188175 115.82579 \nL 140.381018 110.419229 \nL 139.819409 105.132124 \nL 139.512007 99.974177 \nL 139.466541 94.954204 \nL 139.689718 90.080166 \nL 140.065453 86.290816 \nL 140.618985 82.602693 \nL 141.352063 79.018732 \nL 142.265895 75.54155 \nL 143.361091 72.173458 \nL 144.637663 68.91648 \nL 146.095005 65.772361 \nL 147.731882 62.74258 \nL 149.546408 59.828376 \nL 151.53605 57.030768 \nL 153.697618 54.350535 \nL 156.027265 51.788279 \nL 158.520485 49.344443 \nL 161.172141 47.019293 \nL 163.976451 44.812962 \nL 166.927008 42.725467 \nL 170.810138 40.283083 \nL 174.895837 38.025928 \nL 179.167796 35.953523 \nL 183.608452 34.065311 \nL 188.19909 32.360689 \nL 192.919939 30.839072 \nL 197.750299 29.499921 \nL 202.668672 28.342765 \nL 207.652894 27.36727 \nL 213.688912 26.436195 \nL 219.747176 25.766393 \nL 225.787397 25.358211 \nL 231.769262 25.212346 \nL 237.652822 25.329916 \nL 242.452382 25.630155 \nL 247.134326 26.115331 \nL 251.677226 26.786576 \nL 256.060488 27.645112 \nL 260.264472 28.692225 \nL 264.270622 29.929216 \nL 268.061593 31.357395 \nL 271.621328 32.977966 \nL 274.292741 34.413726 \nL 276.799951 35.97383 \nL 279.136761 37.658713 \nL 281.297643 39.468675 \nL 283.277715 41.403929 \nL 285.072792 43.464547 \nL 286.67937 45.650439 \nL 288.094631 47.961358 \nL 289.316465 50.396878 \nL 290.343426 52.956362 \nL 291.17477 55.638969 \nL 291.810423 58.443635 \nL 292.250952 61.369059 \nL 292.497585 64.413674 \nL 292.552151 67.575655 \nL 292.417081 70.852913 \nL 291.986197 75.107933 \nL 291.27076 79.534043 \nL 290.279003 84.125209 \nL 289.020268 88.874667 \nL 287.504889 93.774865 \nL 285.36349 99.842332 \nL 282.889454 106.098994 \nL 280.104787 112.527407 \nL 277.03244 119.108496 \nL 273.115869 126.951797 \nL 268.877736 134.939425 \nL 263.688995 144.195959 \nL 258.185337 153.530485 \nL 252.420366 162.878427 \nL 246.44486 172.171919 \nL 240.306046 181.340426 \nL 234.047106 190.311487 \nL 227.706815 199.01153 \nL 221.319351 207.366806 \nL 215.714979 214.337465 \nL 210.114181 220.940536 \nL 205.327381 226.272757 \nL 200.561646 231.27326 \nL 195.823601 235.915794 \nL 191.118857 240.175817 \nL 187.227114 243.41728 \nL 183.364146 246.365525 \nL 179.532029 249.009804 \nL 175.732603 251.340648 \nL 171.96757 253.349937 \nL 168.981398 254.721235 \nL 166.019093 255.879577 \nL 163.081491 256.822767 \nL 160.169465 257.549237 \nL 157.283954 258.058039 \nL 154.42598 258.348882 \nL 151.596665 258.422102 \nL 148.797248 258.278647 \nL 146.029119 257.920136 \nL 143.293816 257.348794 \nL 140.593071 256.567453 \nL 137.928776 255.57956 \nL 135.303063 254.389124 \nL 132.718248 253.000743 \nL 130.176886 251.419536 \nL 127.681768 249.651143 \nL 124.632534 247.186761 \nL 121.666759 244.452428 \nL 118.791526 241.46209 \nL 116.014479 238.230573 \nL 113.343913 234.773507 \nL 110.788665 231.107196 \nL 108.3581 227.248465 \nL 106.062142 223.214583 \nL 103.911162 219.023126 \nL 101.91594 214.691848 \nL 100.087626 210.238581 \nL 98.437594 205.681104 \nL 96.977474 201.037034 \nL 95.718961 196.323725 \nL 94.673775 191.558162 \nL 93.853579 186.756888 \nL 93.269828 181.935885 \nL 92.933636 177.110539 \nL 92.855785 172.295542 \nL 93.046462 167.504845 \nL 93.39881 163.698652 \nL 93.933717 159.922799 \nL 94.65539 156.183291 \nL 95.567695 152.485771 \nL 96.674005 148.835519 \nL 97.977303 145.237449 \nL 99.480047 141.696108 \nL 101.184217 138.215677 \nL 103.091228 134.79998 \nL 105.20194 131.452489 \nL 107.516603 128.176331 \nL 110.034852 124.974304 \nL 112.755692 121.848882 \nL 115.677464 118.802244 \nL 118.797883 115.836271 \nL 122.11397 112.952588 \nL 125.622067 110.152562 \nL 129.317827 107.43734 \nL 134.193706 104.16397 \nL 139.343608 101.025988 \nL 144.754599 98.024444 \nL 150.412138 95.160089 \nL 156.300132 92.433442 \nL 162.400995 89.844854 \nL 168.695725 87.394593 \nL 175.163982 85.082895 \nL 183.124448 82.492146 \nL 191.264171 80.101972 \nL 199.541604 77.913343 \nL 207.913433 75.927664 \nL 216.334908 74.146837 \nL 224.760196 72.573352 \nL 233.142761 71.21029 \nL 241.435743 70.061353 \nL 249.592354 69.130844 \nL 257.566282 68.423618 \nL 265.3121 67.945032 \nL 272.785669 67.700797 \nL 279.944512 67.696945 \nL 286.748212 67.939647 \nL 292.11918 68.334679 \nL 297.196553 68.908714 \nL 301.961258 69.665072 \nL 306.39578 70.606907 \nL 310.484288 71.737034 \nL 313.496472 72.778408 \nL 316.271838 73.942967 \nL 318.804802 75.231596 \nL 321.090595 76.644959 \nL 323.125251 78.183468 \nL 324.905625 79.847278 \nL 326.429361 81.636275 \nL 327.694951 83.55004 \nL 328.701697 85.587841 \nL 329.44968 87.748627 \nL 329.939767 90.031012 \nL 330.173617 92.433252 \nL 330.153643 94.953257 \nL 329.882942 97.588564 \nL 329.365312 100.336354 \nL 328.60521 103.193429 \nL 327.607713 106.156216 \nL 326.378459 109.220783 \nL 324.525437 113.188025 \nL 322.333124 117.298336 \nL 319.815721 121.541649 \nL 316.988332 125.90706 \nL 313.208644 131.290192 \nL 309.033961 136.810576 \nL 304.493713 142.445072 \nL 299.617851 148.169218 \nL 293.545383 154.926404 \nL 287.104692 161.728171 \nL 280.342439 168.530522 \nL 273.30382 175.288353 \nL 266.032042 181.955884 \nL 258.567966 188.487114 \nL 250.949781 194.8363 \nL 243.212813 200.958434 \nL 236.511164 205.992036 \nL 229.764635 210.800072 \nL 222.990218 215.35712 \nL 216.203357 219.639168 \nL 209.418029 223.623789 \nL 203.773905 226.702176 \nL 198.146285 229.54881 \nL 192.541289 232.153848 \nL 186.964571 234.508568 \nL 181.42139 236.605406 \nL 175.916683 238.438012 \nL 170.455135 240.001349 \nL 165.041268 241.291598 \nL 159.679486 242.306343 \nL 154.374198 243.044458 \nL 149.129855 243.506192 \nL 143.951044 243.693156 \nL 138.842521 243.608255 \nL 133.809322 243.25574 \nL 128.856793 242.641137 \nL 123.990643 241.771194 \nL 119.217003 240.653855 \nL 114.542445 239.298161 \nL 109.974071 237.714235 \nL 105.519438 235.913155 \nL 101.186698 233.906885 \nL 96.98446 231.708214 \nL 92.921906 229.33062 \nL 89.008719 226.788157 \nL 85.255099 224.095397 \nL 81.671679 221.267307 \nL 78.269514 218.319128 \nL 75.060051 215.266286 \nL 72.05503 212.124257 \nL 69.266435 208.908494 \nL 66.706431 205.634301 \nL 64.387218 202.31674 \nL 62.32104 198.970527 \nL 60.52004 195.609958 \nL 58.996143 192.248792 \nL 57.760978 188.900201 \nL 56.988288 186.23882 \nL 56.413089 183.599573 \nL 56.040641 180.988203 \nL 55.875976 178.410122 \nL 55.923745 175.870387 \nL 56.188306 173.37369 \nL 56.673625 170.924351 \nL 57.383248 168.526311 \nL 58.320318 166.183124 \nL 59.487488 163.897955 \nL 60.886942 161.673586 \nL 62.520372 159.512406 \nL 64.388921 157.416432 \nL 66.493173 155.387303 \nL 68.833184 153.426296 \nL 71.408418 151.534337 \nL 74.217742 149.712014 \nL 77.259452 147.959596 \nL 81.384788 145.867294 \nL 85.863729 143.883453 \nL 90.688969 142.006762 \nL 95.851773 140.235352 \nL 101.341931 138.566874 \nL 108.345855 136.696683 \nL 115.78183 134.965409 \nL 123.624541 133.367266 \nL 133.251102 131.66298 \nL 143.344804 130.122098 \nL 153.853097 128.735393 \nL 166.297957 127.328585 \nL 179.121671 126.101427 \nL 193.8843 124.925582 \nL 208.868651 123.96 \nL 223.931607 123.203387 \nL 238.927799 122.660379 \nL 253.711518 122.341538 \nL 268.138689 122.263027 \nL 280.549878 122.411993 \nL 292.473346 122.785056 \nL 302.435138 123.310565 \nL 311.897291 124.036255 \nL 319.569671 124.82819 \nL 326.805033 125.786131 \nL 333.575073 126.918401 \nL 338.842836 128.000743 \nL 343.756492 129.213614 \nL 348.304354 130.56063 \nL 352.476259 132.044839 \nL 356.263665 133.668665 \nL 359.012014 135.069429 \nL 361.506973 136.561184 \nL 363.746426 138.144115 \nL 365.728911 139.818046 \nL 367.453637 141.582431 \nL 368.920446 143.436332 \nL 370.129875 145.378407 \nL 371.083078 147.406905 \nL 371.781804 149.519655 \nL 372.228433 151.714057 \nL 372.425913 153.987087 \nL 372.377698 156.335292 \nL 372.087812 158.754794 \nL 371.560737 161.241293 \nL 370.801424 163.790077 \nL 369.81519 166.396032 \nL 368.607819 169.053653 \nL 366.796906 172.439341 \nL 364.662516 175.884275 \nL 362.217785 179.375376 \nL 359.476387 182.898821 \nL 356.452376 186.440115 \nL 353.160019 189.984181 \nL 349.613792 193.515441 \nL 345.828158 197.01792 \nL 340.989644 201.15997 \nL 335.851742 205.20865 \nL 330.438509 209.13534 \nL 325.733985 212.293855 \nL 320.867492 215.331606 \nL 315.851575 218.232646 \nL 310.69829 220.981459 \nL 305.419115 223.563056 \nL 300.024982 225.963095 \nL 294.526255 228.167992 \nL 288.932738 230.165033 \nL 283.253693 231.942406 \nL 277.497854 233.48936 \nL 271.673465 234.796267 \nL 265.788336 235.85468 \nL 259.849884 236.657407 \nL 253.86518 237.198578 \nL 247.841027 237.473648 \nL 241.784026 237.479484 \nL 235.700643 237.214376 \nL 229.597285 236.678032 \nL 223.48038 235.871594 \nL 217.35645 234.797622 \nL 211.232188 233.4601 \nL 205.114537 231.864378 \nL 199.010758 230.017141 \nL 192.9285 227.926378 \nL 186.875864 225.601312 \nL 180.861458 223.052309 \nL 174.894456 220.290846 \nL 168.984622 217.329401 \nL 163.142368 214.181376 \nL 157.378755 210.860995 \nL 150.58279 206.670158 \nL 143.938576 202.279758 \nL 137.469033 197.717866 \nL 131.198399 193.013342 \nL 125.152114 188.19555 \nL 119.356686 183.294101 \nL 113.839511 178.338574 \nL 108.628686 173.358279 \nL 103.752739 168.381985 \nL 99.240332 163.437687 \nL 95.120061 158.552383 \nL 92.006353 154.545004 \nL 89.200379 150.610706 \nL 86.717506 146.762922 \nL 84.572414 143.014271 \nL 82.779017 139.376499 \nL 81.606267 136.553426 \nL 80.673073 133.813367 \nL 79.985106 131.161026 \nL 79.547521 128.60068 \nL 79.364893 126.136204 \nL 79.441224 123.771041 \nL 79.779874 121.508212 \nL 80.383519 119.350315 \nL 81.254194 117.299528 \nL 82.393192 115.357618 \nL 83.801073 113.525945 \nL 85.477641 111.805484 \nL 87.421961 110.196815 \nL 89.632304 108.700163 \nL 92.106191 107.315391 \nL 94.840396 106.042043 \nL 97.830873 104.879357 \nL 101.072842 103.826271 \nL 105.470468 102.662009 \nL 110.239981 101.663825 \nL 115.367272 100.828118 \nL 120.836598 100.150887 \nL 127.826825 99.541238 \nL 135.251938 99.145529 \nL 143.076544 98.955452 \nL 151.262759 98.962616 \nL 161.216874 99.209171 \nL 171.541968 99.700156 \nL 182.168704 100.423704 \nL 193.02582 101.369072 \nL 204.040876 102.526931 \nL 216.729395 104.100483 \nL 227.837799 105.689634 \nL 238.876858 107.472497 \nL 249.776863 109.44658 \nL 260.470482 111.610931 \nL 270.893378 113.96596 \nL 279.565593 116.137457 \nL 287.958195 118.451619 \nL 296.037615 120.9102 \nL 303.772874 123.515081 \nL 309.935564 125.79889 \nL 315.824775 128.186496 \nL 321.427141 130.678633 \nL 326.730749 133.27577 \nL 331.72524 135.978024 \nL 336.401718 138.785092 \nL 340.752878 141.696176 \nL 344.7729 144.709921 \nL 347.747564 147.193526 \nL 350.50602 149.740258 \nL 353.047365 152.348498 \nL 355.371266 155.016319 \nL 357.477987 157.741471 \nL 359.368352 160.521367 \nL 361.043697 163.35308 \nL 362.505887 166.233334 \nL 363.757265 169.158499 \nL 364.800633 172.12459 \nL 365.639237 175.127263 \nL 366.276703 178.161831 \nL 366.717032 181.223255 \nL 366.964625 184.306155 \nL 367.024079 187.404831 \nL 366.900368 190.513254 \nL 366.495998 194.402848 \nL 365.824015 198.284821 \nL 364.895314 202.145584 \nL 363.721101 205.970986 \nL 362.312774 209.746397 \nL 360.68178 213.45677 \nL 358.839608 217.08676 \nL 356.7976 220.620796 \nL 354.566939 224.043183 \nL 352.158555 227.338227 \nL 349.583036 230.490299 \nL 346.850591 233.483993 \nL 343.971008 236.304201 \nL 340.953548 238.936223 \nL 337.807003 241.365899 \nL 334.53956 243.579669 \nL 331.158891 245.56472 \nL 327.672027 247.309052 \nL 324.085497 248.801612 \nL 321.148483 249.807563 \nL 318.154256 250.641259 \nL 315.105342 251.298486 \nL 312.004097 251.77554 \nL 308.85267 252.069217 \nL 305.653017 252.176824 \nL 302.406915 252.096209 \nL 299.115998 251.82577 \nL 295.781755 251.364444 \nL 292.405562 250.711734 \nL 288.128246 249.62686 \nL 283.789663 248.24443 \nL 279.392009 246.567111 \nL 274.937427 244.598912 \nL 270.428067 242.345149 \nL 265.866176 239.812365 \nL 261.254174 237.008346 \nL 256.594712 233.941963 \nL 250.944925 229.930124 \nL 245.236969 225.574098 \nL 239.477692 220.894928 \nL 233.675061 215.915378 \nL 226.862936 209.758658 \nL 220.021544 203.266771 \nL 213.170809 196.482231 \nL 205.359497 188.426516 \nL 197.605189 180.112971 \nL 189.952378 171.609309 \nL 181.52635 161.899588 \nL 173.369891 152.129629 \nL 166.414534 143.469218 \nL 159.802551 134.896257 \nL 153.599827 126.469953 \nL 148.561002 119.261155 \nL 143.932196 112.242267 \nL 140.324817 106.401873 \nL 137.078755 100.743735 \nL 134.220238 95.285244 \nL 132.152116 90.90049 \nL 130.383771 86.673764 \nL 128.9276 82.612651 \nL 127.794857 78.723966 \nL 127.128293 75.741248 \nL 126.679629 72.87553 \nL 126.452731 70.129241 \nL 126.450833 67.504517 \nL 126.676502 65.003206 \nL 127.131591 62.626861 \nL 127.817261 60.376755 \nL 128.733911 58.253908 \nL 129.881181 56.259053 \nL 131.257945 54.392688 \nL 132.862299 52.655096 \nL 134.691557 51.04632 \nL 136.742271 49.566219 \nL 139.010194 48.214449 \nL 141.490329 46.99052 \nL 144.176925 45.89378 \nL 147.0635 44.923447 \nL 150.941923 43.886908 \nL 155.10599 43.044542 \nL 159.538585 42.394206 \nL 164.221112 41.933658 \nL 169.133638 41.660598 \nL 174.25499 41.572713 \nL 180.644856 41.70849 \nL 187.263098 42.103814 \nL 194.067915 42.75516 \nL 201.016321 43.659304 \nL 208.064545 44.813422 \nL 215.16845 46.215113 \nL 222.28394 47.862385 \nL 229.367358 49.753679 \nL 236.375882 51.887818 \nL 242.129047 53.851181 \nL 247.77802 55.982273 \nL 253.300443 58.280847 \nL 258.67497 60.746698 \nL 263.881404 63.379615 \nL 268.900797 66.179331 \nL 273.715547 69.145465 \nL 278.30947 72.277461 \nL 282.667895 75.574502 \nL 285.976207 78.33024 \nL 289.119396 81.190171 \nL 292.092151 84.153383 \nL 294.889842 87.218765 \nL 297.5085 90.384988 \nL 299.944844 93.65049 \nL 302.196274 97.013449 \nL 304.260846 100.471769 \nL 306.137279 104.023052 \nL 307.824932 107.664598 \nL 309.323778 111.393379 \nL 310.63441 115.206033 \nL 311.757996 119.098845 \nL 312.696249 123.067743 \nL 313.451435 127.108279 \nL 314.026279 131.215644 \nL 314.424006 135.384645 \nL 314.677694 140.674054 \nL 314.668329 146.039332 \nL 314.404741 151.467863 \nL 313.896474 156.946139 \nL 313.153763 162.459788 \nL 312.187303 167.993618 \nL 311.008196 173.531656 \nL 309.627824 179.057215 \nL 308.057731 184.552952 \nL 305.93957 191.083202 \nL 303.584981 197.512796 \nL 301.013692 203.809049 \nL 298.244928 209.93875 \nL 295.297253 215.868411 \nL 292.188388 221.564597 \nL 288.935088 226.994179 \nL 286.125044 231.291716 \nL 283.234119 235.363261 \nL 280.270219 239.19112 \nL 277.240691 242.758309 \nL 274.152286 246.048708 \nL 271.011183 249.047167 \nL 267.823009 251.739656 \nL 265.242007 253.664647 \nL 262.636503 255.379569 \nL 260.00867 256.87901 \nL 257.360479 258.158137 \nL 254.693745 259.212724 \nL 252.010125 260.03922 \nL 249.311132 260.634739 \nL 246.598158 260.997013 \nL 243.872499 261.124528 \nL 241.135358 261.016434 \nL 238.387884 260.672553 \nL 235.631176 260.093453 \nL 232.866311 259.280382 \nL 230.094364 258.235271 \nL 227.316433 256.960723 \nL 224.533651 255.460015 \nL 221.747215 253.73707 \nL 218.9584 251.79644 \nL 215.471143 249.072388 \nL 211.985282 246.027569 \nL 208.504116 242.674586 \nL 205.031339 239.027235 \nL 201.571092 235.100411 \nL 197.441882 230.041787 \nL 193.346382 224.632755 \nL 189.294729 218.903891 \nL 185.298258 212.886965 \nL 181.369531 206.61461 \nL 176.890098 199.018353 \nL 172.545661 191.172858 \nL 168.362306 183.131233 \nL 164.36805 174.945954 \nL 160.592586 166.668322 \nL 157.066974 158.348002 \nL 154.268129 151.218479 \nL 151.696851 144.121201 \nL 149.37367 137.083317 \nL 147.318931 130.130409 \nL 145.552506 123.286415 \nL 144.314562 117.68236 \nL 143.300693 112.181303 \nL 142.52084 106.794296 \nL 141.984218 101.531519 \nL 141.69922 96.402269 \nL 141.673294 91.414987 \nL 141.912844 86.577271 \nL 142.299212 82.819355 \nL 142.861016 79.164596 \nL 143.59984 75.61577 \nL 144.516736 72.175335 \nL 145.612161 68.845483 \nL 146.885983 65.628065 \nL 148.337448 62.524727 \nL 149.965167 59.536824 \nL 151.767122 56.665509 \nL 153.740665 53.911684 \nL 155.88247 51.276058 \nL 158.188575 48.75917 \nL 160.654384 46.361376 \nL 163.274655 44.082896 \nL 166.043538 41.92382 \nL 168.954557 39.884111 \nL 172.782413 37.502186 \nL 176.806256 35.306233 \nL 181.009757 33.295758 \nL 185.375363 31.470165 \nL 189.884403 29.828853 \nL 194.517198 28.371246 \nL 199.253191 27.096795 \nL 204.071057 26.005058 \nL 208.948857 25.095715 \nL 214.849736 24.245007 \nL 220.765268 23.656679 \nL 226.655787 23.331077 \nL 232.481687 23.268944 \nL 237.258965 23.419184 \nL 241.941912 23.753943 \nL 246.508817 24.274187 \nL 250.938653 24.98097 \nL 255.211225 25.875453 \nL 259.307291 26.958875 \nL 263.208672 28.232475 \nL 266.89839 29.697476 \nL 270.360752 31.355039 \nL 272.957292 32.820439 \nL 275.392499 34.410228 \nL 277.660342 36.124795 \nL 279.755435 37.964398 \nL 281.673051 39.929231 \nL 283.40912 42.019338 \nL 284.960269 44.234614 \nL 286.323793 46.574766 \nL 287.497669 49.039378 \nL 288.480553 51.627776 \nL 289.271766 54.339128 \nL 289.871295 57.172355 \nL 290.279775 60.126153 \nL 290.498459 63.198965 \nL 290.529198 66.388975 \nL 290.374451 69.694093 \nL 289.924787 73.98373 \nL 289.197013 78.444254 \nL 288.199322 83.0697 \nL 286.940964 87.853338 \nL 285.432177 92.787693 \nL 283.30671 98.89618 \nL 280.857097 105.194058 \nL 278.105055 111.663995 \nL 274.542261 119.404393 \nL 270.635443 127.320451 \nL 266.421914 135.376644 \nL 261.278573 144.706192 \nL 255.83754 154.107808 \nL 250.151048 163.516681 \nL 243.521604 174.025435 \nL 237.472738 183.220314 \nL 231.319985 192.201692 \nL 225.100028 200.89569 \nL 218.844994 209.228375 \nL 213.364864 216.165657 \nL 207.894794 222.722722 \nL 203.224324 228.005576 \nL 198.578143 232.947737 \nL 193.962248 237.523161 \nL 189.381687 241.707592 \nL 185.594624 244.879854 \nL 181.837148 247.753463 \nL 178.111094 250.317977 \nL 174.418121 252.564213 \nL 170.759759 254.484298 \nL 167.858984 255.781198 \nL 164.982071 256.862627 \nL 162.129814 257.726566 \nL 159.30306 258.371642 \nL 156.502711 258.797129 \nL 153.729775 259.002929 \nL 150.98537 258.989592 \nL 148.270739 258.758287 \nL 145.587287 258.310838 \nL 142.936569 257.649688 \nL 140.320324 256.777894 \nL 137.740494 255.699096 \nL 135.199229 254.417543 \nL 132.698897 252.938018 \nL 130.242086 251.265843 \nL 127.236603 248.913647 \nL 124.309622 246.281997 \nL 121.46781 243.384389 \nL 118.718432 240.235275 \nL 116.06936 236.84995 \nL 113.529033 233.244452 \nL 111.106483 229.43542 \nL 108.811246 225.440012 \nL 106.653336 221.275724 \nL 104.643229 216.96033 \nL 102.791772 212.511726 \nL 101.110127 207.94781 \nL 99.609704 203.286391 \nL 98.302015 198.545067 \nL 97.19869 193.741127 \nL 96.311299 188.891449 \nL 95.651286 184.012412 \nL 95.229869 179.119821 \nL 95.057874 174.228838 \nL 95.145683 169.353901 \nL 95.503107 164.508691 \nL 95.989319 160.662598 \nL 96.658215 156.849983 \nL 97.513741 153.076688 \nL 98.559419 149.348197 \nL 99.798334 145.669631 \nL 101.233106 142.045742 \nL 102.865885 138.480923 \nL 104.698212 134.979204 \nL 106.731153 131.544261 \nL 108.965141 128.179429 \nL 111.400017 124.887703 \nL 114.035002 121.671757 \nL 116.868679 118.533961 \nL 119.898945 115.476392 \nL 123.123055 112.500848 \nL 126.537585 109.608877 \nL 130.13843 106.801788 \nL 134.894125 103.413953 \nL 139.922568 100.162187 \nL 145.211272 97.04781 \nL 150.746141 94.071828 \nL 156.511526 91.234997 \nL 162.490268 88.53788 \nL 168.663751 85.980911 \nL 175.012019 83.564493 \nL 182.830677 80.850891 \nL 190.8315 78.341106 \nL 198.973459 76.036254 \nL 207.213697 73.937831 \nL 215.507863 72.047785 \nL 223.810459 70.368623 \nL 232.075216 68.9034 \nL 240.255481 67.655765 \nL 248.30462 66.629951 \nL 256.17641 65.830695 \nL 263.825454 65.263249 \nL 271.207594 64.933237 \nL 278.28028 64.846556 \nL 285.002996 65.009237 \nL 290.310331 65.339675 \nL 295.327443 65.85093 \nL 300.035147 66.546316 \nL 304.415805 67.428914 \nL 308.453445 68.501541 \nL 311.426995 69.498149 \nL 314.165459 70.619057 \nL 316.663208 71.86516 \nL 318.915398 73.237122 \nL 320.917949 74.735404 \nL 322.667646 76.360182 \nL 324.162067 78.111413 \nL 325.399634 79.988715 \nL 326.379557 81.991429 \nL 327.101871 84.118571 \nL 327.567399 86.368836 \nL 327.777707 88.740586 \nL 327.735163 91.231822 \nL 327.442807 93.840195 \nL 326.904402 96.563007 \nL 326.124371 99.397185 \nL 325.10777 102.339307 \nL 323.512928 106.162929 \nL 321.569432 110.141063 \nL 319.290624 114.264641 \nL 316.6909 118.523759 \nL 313.785557 122.907693 \nL 309.918328 128.316913 \nL 305.662935 133.867951 \nL 301.049061 139.538069 \nL 295.253388 146.271554 \nL 289.058987 153.094144 \nL 282.513594 159.963808 \nL 275.663885 166.837051 \nL 268.554938 173.669291 \nL 261.229735 180.415287 \nL 253.728812 187.029574 \nL 246.08994 193.466915 \nL 238.347948 199.682766 \nL 230.534619 205.633783 \nL 223.802553 210.49219 \nL 217.055554 215.100319 \nL 210.308401 219.434492 \nL 203.574413 223.472642 \nL 196.865564 227.194453 \nL 191.301862 230.041034 \nL 185.768783 232.645692 \nL 180.271556 235.000039 \nL 174.815033 237.096851 \nL 169.403773 238.930122 \nL 164.04212 240.495061 \nL 158.73427 241.788189 \nL 153.484348 242.807326 \nL 148.296487 243.551596 \nL 143.174901 244.021477 \nL 138.12394 244.218741 \nL 133.148172 244.146504 \nL 128.252456 243.809132 \nL 123.441959 243.212258 \nL 118.722251 242.362701 \nL 114.099304 241.268458 \nL 109.57958 239.938596 \nL 105.170006 238.383221 \nL 100.878038 236.613367 \nL 96.711633 234.640927 \nL 92.679286 232.478565 \nL 88.790018 230.139599 \nL 85.053354 227.637962 \nL 81.479298 224.988029 \nL 78.078265 222.204537 \nL 74.86113 219.302492 \nL 71.839062 216.297055 \nL 69.023553 213.203419 \nL 66.42631 210.036739 \nL 64.059178 206.811997 \nL 61.93406 203.543923 \nL 60.062847 200.246895 \nL 58.457303 196.934843 \nL 57.128977 193.621193 \nL 56.089085 190.318754 \nL 55.472131 187.69305 \nL 55.052006 185.088187 \nL 54.833785 182.509725 \nL 54.822215 179.962891 \nL 55.021776 177.45257 \nL 55.436562 174.983283 \nL 56.070334 172.559185 \nL 56.926432 170.184054 \nL 58.007759 167.861288 \nL 59.316774 165.593912 \nL 60.855454 163.384568 \nL 62.625286 161.23552 \nL 64.627196 159.148665 \nL 66.861607 157.125537 \nL 69.328382 155.167318 \nL 72.026824 153.274851 \nL 74.955651 151.448654 \nL 78.93777 149.259391 \nL 83.271986 147.173756 \nL 87.951951 145.19088 \nL 92.969869 143.309316 \nL 98.316524 141.527106 \nL 105.151427 139.516223 \nL 112.423422 137.640187 \nL 120.108876 135.893706 \nL 128.181522 134.27117 \nL 138.050463 132.527238 \nL 148.357514 130.935339 \nL 160.604591 129.291579 \nL 173.268252 127.824786 \nL 187.89968 126.375758 \nL 202.807834 125.132452 \nL 217.852038 124.092605 \nL 232.888295 123.259781 \nL 247.771171 122.643515 \nL 262.355713 122.259099 \nL 274.954051 122.128551 \nL 287.106905 122.214796 \nL 297.301833 122.483464 \nL 307.024962 122.947173 \nL 316.220513 123.620439 \nL 323.643202 124.375327 \nL 330.610333 125.303728 \nL 337.09466 126.414049 \nL 342.111846 127.48387 \nL 346.764337 128.689369 \nL 351.04119 130.034002 \nL 354.933087 131.520612 \nL 357.764157 132.813598 \nL 360.340672 134.1996 \nL 362.660091 135.679043 \nL 364.720587 137.251998 \nL 366.520981 138.918169 \nL 368.060793 140.676871 \nL 369.340183 142.527018 \nL 370.359986 144.467115 \nL 371.121666 146.495249 \nL 371.627303 148.609077 \nL 371.879561 150.80583 \nL 371.881722 153.082305 \nL 371.637547 155.43487 \nL 371.151347 157.859466 \nL 370.427902 160.351615 \nL 369.472435 162.906427 \nL 368.290595 165.518617 \nL 366.504139 168.855859 \nL 364.385801 172.261972 \nL 361.948765 175.724221 \nL 359.206693 179.229095 \nL 356.173763 182.762384 \nL 352.864428 186.309243 \nL 349.293356 189.854292 \nL 344.683364 194.083661 \nL 339.743205 198.259639 \nL 334.498045 202.353784 \nL 328.972547 206.337462 \nL 323.190685 210.182099 \nL 318.193347 213.259405 \nL 313.046928 216.204582 \nL 307.763734 219.002049 \nL 302.355578 221.636776 \nL 296.833681 224.094361 \nL 291.208699 226.361142 \nL 285.490734 228.424297 \nL 279.689321 230.271976 \nL 273.813493 231.89331 \nL 267.871773 233.278564 \nL 261.872231 234.419177 \nL 255.822562 235.30785 \nL 249.730108 235.938588 \nL 243.601945 236.306707 \nL 237.444928 236.408948 \nL 231.265787 236.24345 \nL 225.071186 235.80978 \nL 218.867806 235.108957 \nL 212.662418 234.143371 \nL 206.461962 232.916884 \nL 200.273621 231.434675 \nL 194.10489 229.703326 \nL 187.963651 227.730647 \nL 181.858217 225.525728 \nL 175.797409 223.09882 \nL 169.790592 220.46125 \nL 163.847721 217.625384 \nL 157.979387 214.604499 \nL 152.1968 211.412709 \nL 145.387646 207.377924 \nL 138.740854 203.145296 \nL 132.279503 198.742729 \nL 126.027912 194.198893 \nL 120.011554 189.542979 \nL 114.256916 184.80442 \nL 108.791294 180.012617 \nL 103.642588 175.196684 \nL 98.839117 170.385191 \nL 94.409226 165.605917 \nL 90.381098 160.885628 \nL 87.35121 157.015571 \nL 84.635092 153.218257 \nL 82.247815 149.50695 \nL 80.203681 145.894085 \nL 78.516204 142.391217 \nL 77.431493 139.675289 \nL 76.589024 137.041566 \nL 75.994262 134.494628 \nL 75.652091 132.03864 \nL 75.566888 129.677341 \nL 75.742382 127.41404 \nL 76.181704 125.251624 \nL 76.887313 123.192545 \nL 77.860971 121.23884 \nL 79.10374 119.392121 \nL 80.615963 117.653599 \nL 82.39724 116.024083 \nL 84.446428 114.504 \nL 86.761605 113.093409 \nL 89.340109 111.792024 \nL 92.17852 110.599215 \nL 95.272664 109.514053 \nL 99.492407 108.307093 \nL 104.092806 107.263451 \nL 109.060954 106.379613 \nL 114.382284 105.651576 \nL 120.040618 105.074942 \nL 127.250569 104.576195 \nL 134.887288 104.280136 \nL 142.915063 104.177958 \nL 152.724212 104.291985 \nL 162.949999 104.64408 \nL 173.52557 105.221125 \nL 185.951391 106.140573 \nL 198.637825 107.322077 \nL 211.477652 108.752297 \nL 224.363607 110.420845 \nL 237.189706 112.320411 \nL 248.282033 114.168586 \nL 259.182253 116.189259 \nL 269.826125 118.382889 \nL 280.152688 120.751236 \nL 288.708029 122.922376 \nL 296.954636 125.226044 \nL 304.861433 127.664593 \nL 312.399966 130.240392 \nL 318.382161 132.493331 \nL 324.077425 134.844209 \nL 329.47385 137.293869 \nL 334.560998 139.842825 \nL 339.329917 142.49119 \nL 343.773151 145.238605 \nL 347.884698 148.084168 \nL 350.932057 150.430295 \nL 353.762613 152.837212 \nL 356.375314 155.303559 \nL 358.769692 157.827669 \nL 360.945849 160.407559 \nL 362.904426 163.04092 \nL 364.6466 165.7251 \nL 366.174064 168.457106 \nL 367.488956 171.233594 \nL 368.593916 174.050869 \nL 369.491986 176.90488 \nL 370.186631 179.791234 \nL 370.68168 182.705186 \nL 370.981308 185.641654 \nL 371.089995 188.595228 \nL 371.012498 191.560185 \nL 370.753837 194.5305 \nL 370.183727 198.241281 \nL 369.349273 201.937645 \nL 368.26136 205.606077 \nL 366.931182 209.232586 \nL 365.369966 212.802715 \nL 363.589021 216.301669 \nL 361.59963 219.714385 \nL 359.412897 223.025649 \nL 357.039763 226.220171 \nL 354.490815 229.282692 \nL 351.776366 232.198109 \nL 348.90625 234.951571 \nL 345.889934 237.528581 \nL 342.736312 239.915075 \nL 339.453811 242.097584 \nL 336.050274 244.063285 \nL 332.533008 245.800125 \nL 328.908759 247.296884 \nL 325.183665 248.543314 \nL 322.134809 249.35395 \nL 319.027664 249.994191 \nL 315.864689 250.460255 \nL 312.648074 250.748849 \nL 309.379877 250.8572 \nL 306.061966 250.783023 \nL 302.696069 250.524593 \nL 299.283751 250.080686 \nL 294.955293 249.264001 \nL 290.559217 248.156395 \nL 286.097963 246.759052 \nL 281.57386 245.074497 \nL 276.989216 243.106546 \nL 272.346358 240.860266 \nL 267.647698 238.341971 \nL 262.89585 235.559143 \nL 258.093657 232.520373 \nL 252.269086 228.549713 \nL 246.382896 224.243068 \nL 240.442354 219.620885 \nL 234.455866 214.705322 \nL 227.426607 208.631311 \nL 220.366005 202.229887 \nL 213.294841 195.54265 \nL 205.231292 187.60538 \nL 197.225791 179.416846 \nL 189.324362 171.043676 \nL 180.623718 161.486148 \nL 172.200302 151.873026 \nL 165.016069 143.355227 \nL 158.18494 134.927427 \nL 151.774548 126.648553 \nL 146.564792 119.570475 \nL 141.776276 112.68388 \nL 138.041767 106.958133 \nL 134.67826 101.415844 \nL 131.712599 96.074444 \nL 129.563454 91.788269 \nL 127.721922 87.661052 \nL 126.200667 83.700426 \nL 125.011184 79.913232 \nL 124.305386 77.012458 \nL 123.823062 74.229347 \nL 123.568157 71.566347 \nL 123.543975 69.025593 \nL 123.753123 66.608918 \nL 124.197516 64.317872 \nL 124.878315 62.153703 \nL 125.795931 60.117404 \nL 126.95001 58.209691 \nL 128.339413 56.431025 \nL 129.962204 54.781636 \nL 131.815656 53.261516 \nL 133.896263 51.87047 \nL 136.199715 50.608098 \nL 138.720937 49.473818 \nL 141.454102 48.466919 \nL 144.392631 47.586526 \nL 148.343405 46.66243 \nL 152.587838 45.932311 \nL 157.108592 45.393859 \nL 161.886823 45.044612 \nL 166.902328 44.882037 \nL 173.203879 44.929779 \nL 179.777078 45.238316 \nL 186.580927 45.803486 \nL 193.572895 46.621365 \nL 200.709355 47.688377 \nL 207.945958 49.001333 \nL 215.238064 50.557496 \nL 222.541141 52.354529 \nL 229.811173 54.390545 \nL 237.005053 56.664057 \nL 244.08095 59.173922 \nL 249.858358 61.44537 \nL 255.50366 63.879916 \nL 260.995704 66.477152 \nL 266.314525 69.23668 \nL 271.441439 72.158013 \nL 276.359148 75.24054 \nL 281.051816 78.483437 \nL 285.505128 81.885641 \nL 288.886821 84.721166 \nL 292.101361 87.65685 \nL 295.143649 90.691608 \nL 298.009237 93.824148 \nL 300.694382 97.052955 \nL 303.196 100.376258 \nL 305.511698 103.792034 \nL 307.639709 107.297967 \nL 309.578957 110.891439 \nL 311.328969 114.569516 \nL 312.889899 118.328935 \nL 314.262496 122.166089 \nL 315.448074 126.077014 \nL 316.448497 130.057388 \nL 317.266144 134.102522 \nL 317.903873 138.207348 \nL 318.364999 142.366421 \nL 318.698767 147.632652 \nL 318.770547 152.962353 \nL 318.589256 158.342448 \nL 318.164546 163.759 \nL 317.506626 169.197233 \nL 316.62622 174.641588 \nL 315.534374 180.075765 \nL 314.242396 185.482802 \nL 312.761758 190.845135 \nL 310.752164 197.195435 \nL 308.507223 203.423262 \nL 306.046342 209.495958 \nL 303.388421 215.380473 \nL 300.551645 221.043684 \nL 297.553331 226.452672 \nL 294.943156 230.742575 \nL 292.241062 234.815112 \nL 289.455383 238.652509 \nL 286.593893 242.237666 \nL 283.663774 245.554243 \nL 280.671633 248.586841 \nL 277.623509 251.321077 \nL 274.52487 253.743721 \nL 272.01291 255.449388 \nL 269.474069 256.942418 \nL 266.910429 258.217878 \nL 264.323888 259.271438 \nL 261.716169 260.099396 \nL 259.088841 260.698678 \nL 256.443326 261.066912 \nL 253.780929 261.202371 \nL 251.102845 261.104027 \nL 248.410183 260.771544 \nL 245.703984 260.205276 \nL 242.985242 259.40625 \nL 240.254923 258.376203 \nL 237.513991 257.117533 \nL 234.763424 255.63327 \nL 232.004235 253.927142 \nL 228.544759 251.489125 \nL 225.075753 248.720953 \nL 221.599727 245.633769 \nL 218.119495 242.239995 \nL 214.638233 238.553253 \nL 210.46444 233.763173 \nL 206.30142 228.59966 \nL 202.157287 223.091665 \nL 198.041288 217.26958 \nL 193.288844 210.122287 \nL 188.607648 202.641904 \nL 184.018719 194.880801 \nL 179.545361 186.891649 \nL 175.213069 178.726844 \nL 171.049359 170.437988 \nL 167.083556 162.075378 \nL 163.346463 153.687582 \nL 159.869998 145.321063 \nL 156.686757 137.019845 \nL 154.216523 129.987895 \nL 152.006311 123.058652 \nL 150.076181 116.254793 \nL 148.445449 109.597289 \nL 147.328478 104.175084 \nL 146.442127 98.878096 \nL 145.795612 93.715669 \nL 145.397307 88.696315 \nL 145.254645 83.827715 \nL 145.374017 79.116735 \nL 145.661719 75.465558 \nL 146.122617 71.921917 \nL 146.758287 68.488292 \nL 147.569766 65.166836 \nL 148.557492 61.959459 \nL 149.721335 58.867793 \nL 151.06054 55.893202 \nL 152.573729 53.036844 \nL 154.258896 50.299641 \nL 156.113393 47.682302 \nL 158.133929 45.185376 \nL 160.31658 42.809243 \nL 162.656797 40.554098 \nL 165.149401 38.420039 \nL 167.788594 36.407039 \nL 171.28393 34.060795 \nL 174.984547 31.903082 \nL 178.875367 29.933298 \nL 182.94005 28.150789 \nL 187.161111 26.554819 \nL 191.519985 25.144679 \nL 195.997174 23.919688 \nL 200.572357 22.879208 \nL 205.224511 22.022726 \nL 209.932063 21.349852 \nL 215.623263 20.784434 \nL 221.324061 20.482946 \nL 226.995773 20.445645 \nL 231.672187 20.616784 \nL 236.279645 20.972337 \nL 240.79655 21.512967 \nL 245.20186 22.23949 \nL 249.47522 23.152853 \nL 253.597114 24.254058 \nL 257.548966 25.544174 \nL 261.313277 27.024248 \nL 264.873713 28.695369 \nL 268.215219 30.558484 \nL 270.72156 32.187788 \nL 273.072651 33.940878 \nL 275.262745 35.818038 \nL 277.286734 37.819437 \nL 279.140139 39.945127 \nL 280.819126 42.195038 \nL 282.320533 44.568948 \nL 283.641839 47.066477 \nL 284.781191 49.687039 \nL 285.737384 52.429874 \nL 286.509857 55.29399 \nL 287.098695 58.278199 \nL 287.504586 61.381059 \nL 287.728821 64.600869 \nL 287.773269 67.935689 \nL 287.579762 72.262494 \nL 287.115057 76.760501 \nL 286.386237 81.424023 \nL 285.401483 86.246626 \nL 284.169971 91.221115 \nL 282.701744 96.339534 \nL 280.642718 102.659255 \nL 278.278376 109.156986 \nL 275.629682 115.814503 \nL 272.209172 123.756965 \nL 268.466506 131.855555 \nL 264.437223 140.073191 \nL 259.52656 149.559406 \nL 254.338863 159.085738 \nL 248.923172 168.585073 \nL 243.325553 177.987095 \nL 237.588505 187.218976 \nL 231.750539 196.206159 \nL 225.845909 204.873284 \nL 220.648286 212.135331 \nL 215.439906 219.045084 \nL 210.23565 225.554204 \nL 205.787746 230.7793 \nL 201.358857 235.648091 \nL 196.954662 240.134363 \nL 193.306837 243.563153 \nL 189.681858 246.696476 \nL 186.081779 249.522547 \nL 182.508417 252.0308 \nL 178.963399 254.212017 \nL 176.148819 255.716187 \nL 173.354107 257.002646 \nL 170.580018 258.068649 \nL 167.82733 258.912086 \nL 165.096869 259.531525 \nL 162.38951 259.926131 \nL 159.706241 260.095738 \nL 157.048131 260.040859 \nL 154.416387 259.762662 \nL 151.812353 259.262945 \nL 149.237531 258.544171 \nL 146.693608 257.609403 \nL 144.182448 256.462353 \nL 141.706114 255.107296 \nL 139.266906 253.549105 \nL 136.867314 251.793181 \nL 133.927728 249.329304 \nL 131.060219 246.578428 \nL 128.271258 243.554297 \nL 125.567895 240.271637 \nL 122.9578 236.746071 \nL 120.449207 232.993956 \nL 118.050919 229.032285 \nL 115.772271 224.878584 \nL 113.623063 220.550742 \nL 111.613607 216.066927 \nL 109.754559 211.445422 \nL 108.056895 206.704567 \nL 106.531855 201.862583 \nL 105.190872 196.9375 \nL 104.045403 191.947025 \nL 103.106949 186.908477 \nL 102.386876 181.838666 \nL 101.896343 176.753835 \nL 101.646177 171.669575 \nL 101.64676 166.600758 \nL 101.907914 161.56149 \nL 102.438819 156.565068 \nL 103.06341 152.607172 \nL 103.869898 148.690647 \nL 104.861781 144.821103 \nL 106.042077 141.003778 \nL 107.413381 137.243544 \nL 108.977775 133.544912 \nL 110.736803 129.912027 \nL 112.691447 126.34868 \nL 114.842118 122.858316 \nL 117.188601 119.44405 \nL 119.730071 116.108669 \nL 122.465072 112.854652 \nL 125.391469 109.684191 \nL 128.506463 106.599198 \nL 131.806589 103.601333 \nL 135.28769 100.692026 \nL 138.944937 97.872478 \nL 143.755737 94.475795 \nL 148.820864 91.222555 \nL 154.126467 88.114027 \nL 159.657134 85.151209 \nL 165.395925 82.33488 \nL 171.324485 79.665672 \nL 177.423064 77.144153 \nL 183.670662 74.77088 \nL 191.333187 72.119464 \nL 199.138013 69.683563 \nL 207.042976 67.464692 \nL 215.004371 65.464728 \nL 222.977309 63.686035 \nL 230.916098 62.131457 \nL 238.774629 60.804376 \nL 246.50679 59.708689 \nL 254.066859 58.848745 \nL 261.40993 58.22935 \nL 268.492317 57.85567 \nL 275.271961 57.733132 \nL 281.708793 57.867289 \nL 286.783696 58.179173 \nL 291.573955 58.676331 \nL 296.060642 59.361789 \nL 300.226407 60.238383 \nL 304.055551 61.30868 \nL 306.867082 62.305926 \nL 309.447935 63.429562 \nL 311.792611 64.680412 \nL 313.896394 66.05906 \nL 315.75535 67.565914 \nL 317.366405 69.201115 \nL 318.727271 70.964549 \nL 319.836484 72.855844 \nL 320.693405 74.874352 \nL 321.29816 77.019109 \nL 321.651685 79.288848 \nL 321.755707 81.681993 \nL 321.612639 84.19664 \nL 321.225671 86.83053 \nL 320.598656 89.581088 \nL 319.736098 92.445393 \nL 318.643131 95.420176 \nL 316.961646 99.288475 \nL 314.941408 103.315914 \nL 312.59588 107.493867 \nL 309.939548 111.812883 \nL 306.363423 117.167465 \nL 302.38989 122.691323 \nL 298.04802 128.363858 \nL 292.556799 135.14032 \nL 286.652913 142.052063 \nL 280.384446 149.059886 \nL 272.834816 157.133798 \nL 264.939553 165.216061 \nL 256.764128 173.241327 \nL 248.369983 181.14318 \nL 240.890439 187.903624 \nL 233.321802 194.474141 \nL 225.695788 200.811131 \nL 218.040965 206.872217 \nL 211.476137 211.816929 \nL 204.923183 216.504578 \nL 198.394872 220.912135 \nL 191.90256 225.018099 \nL 185.456335 228.802751 \nL 180.126173 231.698269 \nL 174.838924 234.349056 \nL 169.598855 236.746984 \nL 164.409925 238.885107 \nL 159.275837 240.75761 \nL 154.200139 242.359903 \nL 149.186268 243.688684 \nL 144.237638 244.741907 \nL 139.357734 245.518802 \nL 134.550147 246.019945 \nL 129.818656 246.247176 \nL 125.167315 246.203597 \nL 120.600461 245.893616 \nL 116.122789 245.322823 \nL 111.73941 244.497991 \nL 107.45588 243.42703 \nL 103.278258 242.118892 \nL 99.213063 240.583584 \nL 95.267382 238.831964 \nL 91.448774 236.875756 \nL 87.765367 234.727422 \nL 84.225794 232.400084 \nL 80.839203 229.907426 \nL 77.615196 227.263573 \nL 74.563801 224.483016 \nL 71.695491 221.58048 \nL 69.021026 218.570832 \nL 66.551461 215.468987 \nL 64.29807 212.289781 \nL 62.272241 209.047907 \nL 60.485442 205.757795 \nL 58.949083 202.433518 \nL 57.67446 199.088726 \nL 56.672653 195.736539 \nL 55.954398 192.389507 \nL 55.590915 189.723589 \nL 55.420589 187.074345 \nL 55.448235 184.447215 \nL 55.678393 181.847325 \nL 56.115291 179.279454 \nL 56.762807 176.748041 \nL 57.62445 174.257165 \nL 58.703364 171.810544 \nL 60.002238 169.411534 \nL 61.523322 167.063125 \nL 63.268389 164.767941 \nL 65.238731 162.528249 \nL 67.435137 160.345965 \nL 69.857824 158.222657 \nL 72.506495 156.159564 \nL 75.380304 154.1576 \nL 79.286939 151.74201 \nL 83.539027 149.423429 \nL 88.131138 147.201772 \nL 93.056364 145.076371 \nL 98.306417 143.046038 \nL 103.871579 141.109145 \nL 110.950038 138.905379 \nL 118.444518 136.829293 \nL 126.330586 134.876501 \nL 134.581195 133.042426 \nL 144.628173 131.046613 \nL 155.080299 129.199252 \nL 167.451321 127.261901 \nL 180.192673 125.503048 \nL 193.211966 123.9178 \nL 208.070454 122.33965 \nL 223.015946 120.98123 \nL 237.90273 119.850545 \nL 252.58372 118.961301 \nL 266.912522 118.332597 \nL 279.237387 118.011686 \nL 291.072794 117.934824 \nL 300.953746 118.084362 \nL 310.329278 118.451766 \nL 317.921115 118.951469 \nL 325.068575 119.63157 \nL 331.741979 120.500997 \nL 336.921533 121.37618 \nL 341.739227 122.393042 \nL 346.182632 123.555497 \nL 350.240956 124.866899 \nL 353.204141 126.025108 \nL 355.911043 127.281448 \nL 358.358461 128.636659 \nL 360.543903 130.091138 \nL 362.465527 131.64493 \nL 364.122247 133.297697 \nL 365.513663 135.048711 \nL 366.640061 136.896838 \nL 367.502401 138.84053 \nL 368.102342 140.877815 \nL 368.442113 143.006288 \nL 368.524594 145.22311 \nL 368.353274 147.525013 \nL 367.932188 149.90829 \nL 367.265887 152.368808 \nL 366.359459 154.902014 \nL 365.218403 157.502941 \nL 363.471232 160.841116 \nL 361.379203 164.265363 \nL 358.955555 167.76346 \nL 356.214181 171.32236 \nL 353.169555 174.928246 \nL 349.836552 178.566611 \nL 345.477697 182.954207 \nL 340.752009 187.339707 \nL 335.686093 191.695183 \nL 330.306383 195.992127 \nL 324.638892 200.201695 \nL 318.708977 204.294977 \nL 312.541159 208.243284 \nL 306.158997 212.018425 \nL 300.693032 215.012274 \nL 295.106221 217.851478 \nL 289.410363 220.521323 \nL 283.616656 223.007804 \nL 277.735712 225.297748 \nL 271.777579 227.378885 \nL 265.751749 229.239954 \nL 259.667201 230.870781 \nL 253.532435 232.26235 \nL 247.355533 233.406885 \nL 241.144211 234.297896 \nL 234.905885 234.93022 \nL 228.647734 235.300083 \nL 222.376774 235.405131 \nL 216.099939 235.244416 \nL 209.824147 234.818406 \nL 203.556382 234.129033 \nL 197.303772 233.179618 \nL 191.073651 231.974889 \nL 184.873645 230.520914 \nL 178.71173 228.825067 \nL 172.596295 226.895994 \nL 166.536192 224.743524 \nL 160.540803 222.378594 \nL 154.620047 219.813185 \nL 148.784437 217.060228 \nL 143.045091 214.133515 \nL 137.413746 211.047583 \nL 130.816118 207.155767 \nL 124.414302 203.083907 \nL 118.231958 198.860179 \nL 112.293834 194.513355 \nL 106.625599 190.072526 \nL 101.253755 185.566831 \nL 96.205333 181.025179 \nL 91.507679 176.475994 \nL 87.188259 171.946973 \nL 83.897343 168.207492 \nL 80.903516 164.515415 \nL 78.221905 160.884908 \nL 75.867144 157.329404 \nL 73.853195 153.861522 \nL 72.193262 150.493013 \nL 71.128525 147.877062 \nL 70.304086 145.336756 \nL 69.725321 142.876781 \nL 69.397087 140.501409 \nL 69.323752 138.214482 \nL 69.509044 136.01941 \nL 69.956118 133.91917 \nL 70.667536 131.91631 \nL 71.645149 130.012939 \nL 72.89017 128.210745 \nL 74.403102 126.511002 \nL 76.183728 124.914572 \nL 78.231155 123.421922 \nL 80.543714 122.033143 \nL 83.119028 120.747959 \nL 85.954008 119.565753 \nL 89.044815 118.485582 \nL 93.261093 117.276932 \nL 97.859526 116.222721 \nL 102.82804 115.319321 \nL 108.152937 114.562586 \nL 114.991703 113.841651 \nL 122.292597 113.316775 \nL 130.023774 112.978948 \nL 139.541294 112.808796 \nL 149.539073 112.865721 \nL 159.955063 113.135213 \nL 172.287618 113.685868 \nL 184.98072 114.47742 \nL 197.931062 115.49355 \nL 212.677309 116.888566 \nL 227.46747 118.536735 \nL 240.532062 120.207076 \nL 253.414169 122.067807 \nL 266.016567 124.119456 \nL 276.741251 126.073793 \nL 287.122157 128.180474 \nL 297.104347 130.444217 \nL 305.304517 132.513675 \nL 313.144924 134.706108 \nL 320.598713 137.025104 \nL 327.641694 139.474037 \nL 333.181542 141.616227 \nL 338.410351 143.852117 \nL 343.31869 146.18274 \nL 347.898544 148.608682 \nL 352.143337 151.130014 \nL 356.047926 153.746229 \nL 359.608593 156.456175 \nL 362.207906 158.6904 \nL 364.585053 160.982157 \nL 366.740036 163.329839 \nL 368.67339 165.731507 \nL 370.386181 168.184881 \nL 371.879961 170.687336 \nL 373.156756 173.235892 \nL 374.219081 175.82721 \nL 375.069839 178.4576 \nL 375.71237 181.123018 \nL 376.150377 183.819063 \nL 376.387921 186.540996 \nL 376.429356 189.28374 \nL 376.279336 192.041902 \nL 375.942778 194.809768 \nL 375.267582 198.274087 \nL 374.319364 201.731862 \nL 373.108907 205.170167 \nL 371.647231 208.575537 \nL 369.945578 211.934042 \nL 368.015184 215.231372 \nL 365.867325 218.452935 \nL 363.513148 221.583934 \nL 360.963628 224.609469 \nL 358.229491 227.514644 \nL 355.321141 230.284649 \nL 352.248594 232.904902 \nL 349.021466 235.361127 \nL 345.648903 237.639456 \nL 342.139549 239.726526 \nL 338.501522 241.609602 \nL 334.742414 243.276658 \nL 330.869257 244.716464 \nL 326.888578 245.918678 \nL 322.806358 246.873938 \nL 318.628062 247.573876 \nL 314.358675 248.011292 \nL 310.002764 248.180084 \nL 305.56447 248.075381 \nL 301.047564 247.693545 \nL 296.455522 247.032218 \nL 291.791569 246.090322 \nL 287.058752 244.868085 \nL 282.259992 243.367014 \nL 277.398171 241.589907 \nL 272.476191 239.540819 \nL 267.49705 237.225039 \nL 262.463925 234.649048 \nL 257.380242 231.82047 \nL 251.218386 228.105106 \nL 244.996388 224.055661 \nL 238.722478 219.691116 \nL 232.406046 215.032275 \nL 226.05779 210.101537 \nL 218.627535 204.037201 \nL 211.192468 197.675106 \nL 203.777558 191.0569 \nL 195.364283 183.234815 \nL 187.061262 175.199939 \nL 178.920898 167.018495 \nL 171.000635 158.756587 \nL 163.362464 150.479428 \nL 156.072176 142.250621 \nL 149.198531 134.131487 \nL 143.581312 127.163236 \nL 138.384808 120.360756 \nL 134.301422 114.688401 \nL 130.591141 109.183819 \nL 127.282182 103.866025 \nL 124.850743 99.58987 \nL 122.731405 95.464876 \nL 120.937865 91.499551 \nL 119.482718 87.701611 \nL 118.569933 84.788448 \nL 117.886184 81.99002 \nL 117.436057 79.309172 \nL 117.223496 76.748404 \nL 117.251737 74.309917 \nL 117.523352 71.995553 \nL 118.040137 69.806889 \nL 118.803177 67.745182 \nL 119.812713 65.811389 \nL 121.068253 64.006182 \nL 122.568505 62.329978 \nL 124.311331 60.782919 \nL 126.293804 59.364924 \nL 128.51218 58.075693 \nL 130.961925 56.914686 \nL 133.637705 55.881193 \nL 136.533432 54.974348 \nL 140.451878 54.017308 \nL 144.688256 53.254263 \nL 149.225908 52.682673 \nL 154.046598 52.299791 \nL 159.130602 52.102776 \nL 164.456877 52.088668 \nL 171.136772 52.309046 \nL 178.092929 52.783541 \nL 185.283049 53.507309 \nL 192.663391 54.4758 \nL 200.189193 55.684824 \nL 207.815073 57.130626 \nL 215.495444 58.809912 \nL 223.184923 60.719874 \nL 230.838734 62.858193 \nL 238.413098 65.222919 \nL 245.865586 67.81254 \nL 251.953466 70.141462 \nL 257.905913 72.625096 \nL 263.70154 75.262883 \nL 269.320174 78.054266 \nL 274.742948 80.998624 \nL 279.952395 84.095201 \nL 284.932542 87.343048 \nL 289.668932 90.740966 \nL 294.148708 94.287423 \nL 297.540159 97.230271 \nL 300.755162 100.265773 \nL 303.789413 103.392526 \nL 306.639268 106.608891 \nL 309.301774 109.912986 \nL 311.774649 113.30265 \nL 314.056258 116.775438 \nL 316.145623 120.328594 \nL 318.04239 123.959048 \nL 319.746834 127.663389 \nL 321.259789 131.43787 \nL 322.582661 135.278385 \nL 323.717405 139.180469 \nL 324.666492 143.139284 \nL 325.432837 147.149628 \nL 326.019835 151.205926 \nL 326.507178 156.331832 \nL 326.728417 161.507822 \nL 326.69255 166.720625 \nL 326.409307 171.95613 \nL 325.888921 177.199436 \nL 325.142127 182.434895 \nL 324.179984 187.646183 \nL 323.013808 192.816357 \nL 321.655012 197.92794 \nL 320.115062 202.963003 \nL 318.405348 207.903278 \nL 316.53713 212.730239 \nL 314.521386 217.425207 \nL 312.368799 221.969499 \nL 310.089659 226.344515 \nL 307.693858 230.53185 \nL 305.190782 234.513491 \nL 302.589291 238.271833 \nL 299.897693 241.789889 \nL 297.123727 245.051392 \nL 294.274546 248.040915 \nL 291.356706 250.743996 \nL 288.376182 253.147228 \nL 285.950276 254.845669 \nL 283.490224 256.33869 \nL 280.998313 257.621164 \nL 278.476622 258.688548 \nL 275.927028 259.536882 \nL 273.35124 260.162865 \nL 270.750773 260.563795 \nL 268.126998 260.737644 \nL 265.481163 260.683056 \nL 262.814372 260.399316 \nL 260.127644 259.886404 \nL 257.421911 259.144977 \nL 254.698044 258.176335 \nL 251.956876 256.982455 \nL 249.199223 255.565939 \nL 246.425895 253.930065 \nL 242.938465 251.582687 \nL 239.429587 248.907493 \nL 235.901166 245.914728 \nL 232.355341 242.615907 \nL 228.794542 239.02379 \nL 224.505765 234.345612 \nL 220.205041 229.290857 \nL 215.898921 223.887086 \nL 211.595025 218.163398 \nL 206.588414 211.121937 \nL 201.612928 203.736077 \nL 196.687048 196.056673 \nL 191.145174 186.986692 \nL 185.730617 177.677041 \nL 180.482465 168.20329 \nL 175.443432 158.639047 \nL 170.659398 149.055152 \nL 166.720535 140.706193 \nL 163.047453 132.436466 \nL 159.674227 124.285992 \nL 157.047422 117.423073 \nL 154.687179 110.696877 \nL 152.61413 104.127497 \nL 150.848059 97.733344 \nL 149.624322 92.550871 \nL 148.636778 87.510547 \nL 147.89469 82.620369 \nL 147.406398 77.887555 \nL 147.179236 73.318534 \nL 147.219425 68.919013 \nL 147.447473 65.524797 \nL 147.85182 62.244475 \nL 148.43389 59.079988 \nL 149.194512 56.033008 \nL 150.133949 53.104989 \nL 151.251818 50.297117 \nL 152.547135 47.610375 \nL 154.018266 45.045516 \nL 155.662941 42.603123 \nL 157.478244 40.283588 \nL 159.460608 38.087148 \nL 161.605849 36.013894 \nL 163.909125 34.063788 \nL 166.364981 32.236689 \nL 168.967374 30.532342 \nL 172.416239 28.574053 \nL 176.069424 26.806306 \nL 179.911423 25.228251 \nL 183.925507 23.838959 \nL 188.09385 22.637506 \nL 192.397618 21.622992 \nL 196.817096 20.794556 \nL 201.331813 20.151464 \nL 205.920678 19.693069 \nL 210.562117 19.418866 \nL 216.170369 19.332504 \nL 221.78455 19.510647 \nL 226.439966 19.861214 \nL 231.050968 20.395752 \nL 235.595893 21.11465 \nL 240.053532 22.018467 \nL 244.403264 23.107857 \nL 248.625199 24.383574 \nL 252.700293 25.84645 \nL 256.610473 27.497326 \nL 260.338756 29.337053 \nL 263.869345 31.36641 \nL 267.187721 33.586096 \nL 269.680731 35.499255 \nL 272.023372 37.534766 \nL 274.210162 39.692718 \nL 276.236237 41.973102 \nL 278.097343 44.375758 \nL 279.789879 46.900386 \nL 281.310865 49.546524 \nL 282.657994 52.313518 \nL 283.82956 55.200534 \nL 284.824501 58.206511 \nL 285.642388 61.330156 \nL 286.283387 64.569953 \nL 286.748257 67.924114 \nL 287.038338 71.390585 \nL 287.158047 75.878036 \nL 287.012446 80.532104 \nL 286.607556 85.346847 \nL 285.950511 90.315563 \nL 285.049445 95.430754 \nL 283.913397 100.684127 \nL 282.552176 106.066556 \nL 280.636349 112.681777 \nL 278.430665 119.449748 \nL 275.955223 126.350041 \nL 272.753918 134.538061 \nL 269.247056 142.838197 \nL 265.468117 151.209767 \nL 261.450131 159.609455 \nL 256.606548 169.184811 \nL 251.538348 178.665655 \nL 246.288312 187.977679 \nL 240.895767 197.044571 \nL 236.088412 204.716217 \nL 231.220475 212.089068 \nL 226.310839 219.111799 \nL 222.081977 224.814548 \nL 217.843731 230.192602 \nL 213.60402 235.216635 \nL 209.369692 239.858876 \nL 205.849465 243.416987 \nL 202.340019 246.678021 \nL 198.843943 249.629171 \nL 195.363524 252.258918 \nL 191.900808 254.557004 \nL 189.144638 256.150707 \nL 186.401889 257.522625 \nL 183.673429 258.669543 \nL 180.960121 259.588893 \nL 178.26284 260.278744 \nL 175.582501 260.737847 \nL 172.920067 260.96561 \nL 170.276581 260.962157 \nL 167.653186 260.728274 \nL 165.05113 260.265416 \nL 162.471803 259.575724 \nL 159.916732 258.66198 \nL 157.387616 257.52762 \nL 154.886334 256.176708 \nL 152.414963 254.613894 \nL 149.975777 252.844447 \nL 147.571264 250.87415 \nL 144.618546 248.138515 \nL 141.730102 245.1124 \nL 138.912306 241.81031 \nL 136.172155 238.247754 \nL 133.517218 234.441086 \nL 130.955636 230.407391 \nL 128.496104 226.164379 \nL 126.147867 221.73025 \nL 123.920647 217.123551 \nL 121.422087 211.394174 \nL 119.130805 205.475985 \nL 117.39341 200.423423 \nL 115.824385 195.281018 \nL 114.435153 190.067164 \nL 113.237147 184.799854 \nL 112.241788 179.496614 \nL 111.460363 174.174416 \nL 110.903927 168.849589 \nL 110.58317 163.537758 \nL 110.508281 158.253789 \nL 110.68893 153.011738 \nL 111.134038 147.824811 \nL 111.686027 143.723274 \nL 112.41623 139.670821 \nL 113.327975 135.672983 \nL 114.424143 131.734914 \nL 115.707123 127.861396 \nL 117.178814 124.05685 \nL 118.840565 120.325324 \nL 120.693153 116.67052 \nL 122.736773 113.095796 \nL 124.970989 109.604174 \nL 127.394757 106.198357 \nL 130.006366 102.880743 \nL 132.803451 99.653455 \nL 135.78298 96.518338 \nL 138.941238 93.476982 \nL 142.273835 90.530755 \nL 145.775695 87.680822 \nL 150.382251 84.255274 \nL 155.231587 80.983219 \nL 160.309451 77.865876 \nL 165.600031 74.904169 \nL 171.086041 72.098857 \nL 176.748808 69.450531 \nL 182.568343 66.959724 \nL 188.52344 64.62694 \nL 195.817023 62.036992 \nL 203.233262 59.676525 \nL 210.730066 57.546929 \nL 218.263985 55.649941 \nL 225.790583 53.98772 \nL 233.264826 52.562871 \nL 240.641486 51.378467 \nL 247.875548 50.438013 \nL 254.922613 49.745452 \nL 261.739325 49.30507 \nL 268.283769 49.121453 \nL 274.515866 49.199358 \nL 279.443277 49.467521 \nL 284.106869 49.923428 \nL 288.487436 50.569744 \nL 292.567261 51.409028 \nL 296.330251 52.443645 \nL 299.102776 53.413393 \nL 301.65672 54.510426 \nL 303.98627 55.735524 \nL 306.086394 57.089287 \nL 307.952851 58.572151 \nL 309.582199 60.184327 \nL 310.971786 61.925825 \nL 312.11977 63.796405 \nL 313.025124 65.795555 \nL 313.687583 67.922538 \nL 314.107697 70.17631 \nL 314.286781 72.555543 \nL 314.226858 75.058624 \nL 313.930695 77.683614 \nL 313.401756 80.428274 \nL 312.644147 83.290047 \nL 311.662612 86.26606 \nL 310.128974 90.141803 \nL 308.265421 94.184049 \nL 306.084747 98.385044 \nL 303.600828 102.736252 \nL 300.24071 108.142861 \nL 296.49223 113.734899 \nL 292.383644 119.493401 \nL 287.174008 126.394787 \nL 281.560906 133.460348 \nL 274.712529 141.688901 \nL 267.468621 150.025422 \nL 259.896864 158.408786 \nL 252.06185 166.775561 \nL 244.024211 175.060648 \nL 235.839949 183.197984 \nL 227.559976 191.121299 \nL 219.22983 198.764904 \nL 211.931451 205.173027 \nL 204.648937 211.276094 \nL 197.402788 217.034245 \nL 191.23423 221.666674 \nL 185.11507 225.995839 \nL 179.053713 230.001245 \nL 173.057472 233.6642 \nL 168.114993 236.44299 \nL 163.22549 238.963853 \nL 158.39199 241.219414 \nL 153.617314 243.203447 \nL 148.904134 244.91093 \nL 144.255074 246.338099 \nL 139.672756 247.48244 \nL 135.159909 248.342757 \nL 130.719396 248.919138 \nL 126.354316 249.212974 \nL 122.068031 249.22694 \nL 117.864255 248.965011 \nL 113.747048 248.432369 \nL 109.720967 247.635424 \nL 105.790996 246.581714 \nL 101.962623 245.279899 \nL 98.241863 243.73964 \nL 94.635267 241.971584 \nL 91.149958 239.987206 \nL 87.793585 237.79879 \nL 84.574346 235.419336 \nL 81.500964 232.862394 \nL 78.582633 230.142035 \nL 75.829025 227.272712 \nL 73.250224 224.269175 \nL 70.856704 221.146341 \nL 68.659212 217.919216 \nL 66.668735 214.602776 \nL 64.896468 211.211885 \nL 63.353626 207.761169 \nL 62.051471 204.26496 \nL 61.001129 200.73718 \nL 60.213575 197.191272 \nL 59.699489 193.640131 \nL 59.492039 190.803707 \nL 59.471241 187.977767 \nL 59.641921 185.167978 \nL 60.00864 182.379701 \nL 60.575641 179.617972 \nL 61.346856 176.887487 \nL 62.325853 174.192597 \nL 63.51581 171.537313 \nL 64.919483 168.925288 \nL 66.539216 166.359819 \nL 68.37686 163.843854 \nL 70.433766 161.379991 \nL 72.710813 158.970485 \nL 75.208287 156.617258 \nL 77.925994 154.321907 \nL 80.863144 152.085721 \nL 84.841033 149.375168 \nL 89.15572 146.759908 \nL 93.801831 144.240636 \nL 98.77254 141.817481 \nL 104.059581 139.490071 \nL 109.653212 137.257604 \nL 115.542297 135.118926 \nL 122.981433 132.674278 \nL 130.803582 130.359766 \nL 138.981719 128.172331 \nL 147.486221 126.10887 \nL 157.777677 123.854288 \nL 168.414711 121.760408 \nL 179.338639 119.824124 \nL 192.094666 117.801925 \nL 205.047044 115.982961 \nL 218.094683 114.369936 \nL 231.133717 112.968768 \nL 244.058666 111.788632 \nL 256.763674 110.841904 \nL 269.14376 110.143897 \nL 281.096161 109.712463 \nL 291.125531 109.569207 \nL 300.687876 109.659404 \nL 308.466857 109.933576 \nL 315.823151 110.399144 \nL 322.723876 111.065058 \nL 328.104649 111.779187 \nL 333.13224 112.642953 \nL 337.792346 113.660541 \nL 342.072286 114.835633 \nL 345.961062 116.171349 \nL 348.784163 117.35725 \nL 351.347014 118.648471 \nL 353.646425 120.045626 \nL 355.679949 121.548984 \nL 357.445848 123.158453 \nL 358.943173 124.873571 \nL 360.171672 126.693479 \nL 361.131804 128.616913 \nL 361.824768 130.642194 \nL 362.252428 132.767224 \nL 362.417323 134.98947 \nL 362.32263 137.305974 \nL 361.972146 139.713343 \nL 361.370239 142.207751 \nL 360.521825 144.784951 \nL 359.432345 147.440274 \nL 358.10769 150.168642 \nL 356.130819 153.673442 \nL 353.809593 157.272258 \nL 351.158052 160.95267 \nL 348.190877 164.701432 \nL 344.923319 168.504543 \nL 340.627818 173.119285 \nL 335.949888 177.764577 \nL 330.91738 182.412862 \nL 325.558102 187.035773 \nL 319.899563 191.604398 \nL 313.968711 196.08951 \nL 307.791786 200.461857 \nL 301.394063 204.692422 \nL 294.799734 208.752689 \nL 288.031804 212.614949 \nL 282.274982 215.662956 \nL 276.424622 218.540165 \nL 270.49198 221.232574 \nL 264.487694 223.727021 \nL 258.421797 226.011262 \nL 252.303761 228.074093 \nL 246.142512 229.905389 \nL 239.946494 231.496223 \nL 233.723721 232.83889 \nL 227.481835 233.927006 \nL 221.228172 234.755486 \nL 214.96984 235.320664 \nL 208.713783 235.620284 \nL 202.46686 235.653502 \nL 196.235928 235.420904 \nL 190.027905 234.924508 \nL 183.849857 234.167751 \nL 177.709065 233.155459 \nL 171.613093 231.893761 \nL 165.569846 230.39014 \nL 159.587652 228.6533 \nL 153.675271 226.693116 \nL 147.841987 224.520578 \nL 142.097599 222.1477 \nL 136.452488 219.587419 \nL 130.917603 216.853515 \nL 125.50445 213.960503 \nL 120.225155 210.92354 \nL 114.084543 207.111266 \nL 108.177816 203.142156 \nL 102.52887 199.04465 \nL 97.162389 194.847499 \nL 92.10379 190.579478 \nL 87.378994 186.269109 \nL 83.014102 181.944411 \nL 79.670512 178.349238 \nL 76.610016 174.778304 \nL 73.847352 171.246284 \nL 71.396847 167.767186 \nL 69.272404 164.354285 \nL 67.487251 161.020048 \nL 66.311826 158.417118 \nL 65.367529 155.877484 \nL 64.659953 153.406264 \nL 64.194265 151.00817 \nL 63.975141 148.687495 \nL 64.006767 146.44811 \nL 64.292765 144.293451 \nL 64.836224 142.226526 \nL 65.639591 140.249906 \nL 66.704716 138.36573 \nL 68.032825 136.575713 \nL 69.624443 134.88115 \nL 71.479466 133.282928 \nL 73.597049 131.781538 \nL 75.975729 130.377088 \nL 78.613309 129.069317 \nL 81.506864 127.857624 \nL 85.47827 126.476668 \nL 89.835513 125.241881 \nL 94.568473 124.15011 \nL 99.665396 123.197629 \nL 105.113021 122.380192 \nL 112.092272 121.570944 \nL 119.527138 120.94077 \nL 127.386828 120.480546 \nL 137.048953 120.145914 \nL 147.187457 120.014956 \nL 159.280433 120.096131 \nL 171.822767 120.404145 \nL 186.3477 120.999263 \nL 201.173365 121.836776 \nL 216.153851 122.900064 \nL 231.143085 124.178159 \nL 245.996805 125.665935 \nL 260.574461 127.363982 \nL 273.191285 129.054504 \nL 285.39308 130.922859 \nL 295.662435 132.710901 \nL 305.496189 134.649621 \nL 313.541291 136.437293 \nL 321.202209 138.34656 \nL 328.453247 140.382393 \nL 335.271376 142.549442 \nL 340.607718 144.45855 \nL 345.61905 146.463675 \nL 350.296523 148.566405 \nL 354.632705 150.767826 \nL 358.621559 153.068453 \nL 362.258511 155.468163 \nL 364.912521 157.458745 \nL 367.338262 159.511466 \nL 369.535308 161.62524 \nL 371.503798 163.798641 \nL 373.244383 166.029902 \nL 374.758252 168.316893 \nL 376.047098 170.657122 \nL 377.113059 173.047727 \nL 377.958775 175.485484 \nL 378.587322 177.966784 \nL 379.002154 180.487661 \nL 379.2071 183.043786 \nL 379.20638 185.630471 \nL 379.004498 188.242683 \nL 378.606256 190.875059 \nL 378.01672 193.521905 \nL 377.018846 196.841684 \nL 375.741091 200.162406 \nL 374.19451 203.471128 \nL 372.390492 206.754372 \nL 370.340572 209.998159 \nL 368.056322 213.188138 \nL 365.549347 216.309644 \nL 362.831137 219.347811 \nL 359.913011 222.287671 \nL 356.80605 225.114224 \nL 353.520976 227.81259 \nL 350.068173 230.368089 \nL 346.457598 232.766335 \nL 342.698764 234.993344 \nL 338.80067 237.035683 \nL 334.771821 238.880494 \nL 330.620211 240.515642 \nL 326.353282 241.929802 \nL 321.977964 243.112515 \nL 317.500703 244.054314 \nL 312.927401 244.74676 \nL 308.263586 245.182511 \nL 303.514304 245.355403 \nL 298.684274 245.260487 \nL 293.777878 244.894033 \nL 288.79924 244.253624 \nL 283.752281 243.338126 \nL 278.640774 242.1477 \nL 273.46844 240.683832 \nL 268.238995 238.949294 \nL 262.956248 236.948135 \nL 257.624168 234.68564 \nL 252.246939 232.168327 \nL 246.829067 229.403857 \nL 241.375425 226.401015 \nL 234.791387 222.496876 \nL 228.173758 218.282549 \nL 221.533973 213.778759 \nL 214.884833 209.007914 \nL 208.240619 203.993888 \nL 200.516511 197.870452 \nL 192.848774 191.492026 \nL 185.268534 184.901847 \nL 177.810018 178.144171 \nL 170.510477 171.263837 \nL 162.414321 163.308069 \nL 155.593613 156.315889 \nL 149.065913 149.340805 \nL 142.877909 142.425454 \nL 137.077383 135.610939 \nL 131.712554 128.936498 \nL 127.497282 123.355187 \nL 123.666994 117.92596 \nL 120.250423 112.669286 \nL 117.739149 108.434244 \nL 115.549272 104.342304 \nL 113.694854 100.402751 \nL 112.188862 96.624054 \nL 111.242874 93.722045 \nL 110.532794 90.931375 \nL 110.063413 88.255189 \nL 109.838881 85.696285 \nL 109.862651 83.257121 \nL 110.137479 80.939804 \nL 110.665377 78.746096 \nL 111.447626 76.677433 \nL 112.484705 74.734926 \nL 113.776284 72.919393 \nL 115.321241 71.231322 \nL 117.117645 69.670952 \nL 119.162728 68.238222 \nL 121.452906 66.932838 \nL 123.983789 65.75426 \nL 126.750174 64.701763 \nL 129.746099 63.774399 \nL 133.803434 62.789445 \nL 138.194028 61.995768 \nL 142.901348 61.390561 \nL 147.907244 60.970795 \nL 153.192044 60.733238 \nL 159.872221 60.684008 \nL 166.884864 60.886629 \nL 174.188944 61.335336 \nL 181.741564 62.024585 \nL 189.498344 62.949116 \nL 197.413818 64.104092 \nL 205.441844 65.485114 \nL 213.536023 67.088319 \nL 221.650092 68.910388 \nL 229.738333 70.948547 \nL 237.755952 73.20053 \nL 245.65945 75.664557 \nL 253.406966 78.339224 \nL 259.715236 80.728216 \nL 265.865558 83.262182 \nL 271.837239 85.940617 \nL 277.610892 88.762991 \nL 283.16853 91.728687 \nL 288.493627 94.836936 \nL 293.571194 98.086744 \nL 298.387808 101.476821 \nL 302.93168 105.005517 \nL 306.363531 107.926894 \nL 309.609879 110.934381 \nL 312.666985 114.026446 \nL 315.531779 117.201327 \nL 318.201865 120.456994 \nL 320.675477 123.791131 \nL 322.951564 127.201117 \nL 325.029667 130.68402 \nL 326.909959 134.236576 \nL 328.593182 137.855181 \nL 330.080662 141.535881 \nL 331.374276 145.274363 \nL 332.476378 149.065952 \nL 333.389861 152.905608 \nL 334.11804 156.787922 \nL 334.664632 160.707126 \nL 335.098821 165.648634 \nL 335.264516 170.625435 \nL 335.171241 175.623958 \nL 334.829138 180.629841 \nL 334.248817 185.627994 \nL 333.441312 190.602636 \nL 332.417918 195.537394 \nL 331.190128 200.415346 \nL 329.769441 205.219126 \nL 328.167385 209.931023 \nL 326.395335 214.533076 \nL 324.464461 219.007163 \nL 322.385649 223.335142 \nL 320.16944 227.498952 \nL 317.82593 231.480752 \nL 315.364758 235.262978 \nL 312.79507 238.828572 \nL 310.125424 242.161028 \nL 307.363829 245.24452 \nL 304.517695 248.064055 \nL 301.593841 250.605553 \nL 298.598482 252.855995 \nL 296.154506 254.438735 \nL 293.670975 255.822032 \nL 291.150291 257.000902 \nL 288.594597 257.970898 \nL 286.005855 258.72816 \nL 283.38583 259.269454 \nL 280.736096 259.592152 \nL 278.058057 259.694215 \nL 275.352979 259.574325 \nL 272.621986 259.231755 \nL 269.86608 258.666435 \nL 267.08618 257.878957 \nL 264.283125 256.870571 \nL 261.4577 255.643136 \nL 258.610656 254.199158 \nL 255.022585 252.094465 \nL 251.403372 249.663718 \nL 247.754584 246.91572 \nL 244.077949 243.860558 \nL 240.375419 240.509567 \nL 236.649231 236.87526 \nL 232.150252 232.15925 \nL 227.62621 227.080071 \nL 223.083342 221.664632 \nL 217.769387 214.959569 \nL 212.453568 207.882569 \nL 207.152019 200.482283 \nL 201.134654 191.692651 \nL 195.192437 182.620389 \nL 189.361824 173.340014 \nL 183.683551 163.924868 \nL 178.202283 154.446265 \nL 172.966152 144.972756 \nL 168.026091 135.5695 \nL 163.987999 127.447521 \nL 160.253273 119.464573 \nL 156.85818 111.656242 \nL 154.245547 105.127254 \nL 151.93061 98.769555 \nL 149.934354 92.600423 \nL 148.528548 87.614886 \nL 147.368467 82.779424 \nL 146.463942 78.101485 \nL 145.823824 73.587742 \nL 145.455927 69.244155 \nL 145.366871 65.075922 \nL 145.500043 61.870662 \nL 145.817278 58.78253 \nL 146.320108 55.813287 \nL 147.009488 52.964403 \nL 147.885743 50.237128 \nL 148.948571 47.63247 \nL 150.197011 45.151228 \nL 151.629439 42.794011 \nL 153.243575 40.561218 \nL 155.036468 38.453098 \nL 157.004495 36.469738 \nL 159.14339 34.611078 \nL 161.448209 32.876948 \nL 163.913401 31.267065 \nL 166.532762 29.781067 \nL 170.013361 28.097078 \nL 173.709664 26.604943 \nL 177.605803 25.303579 \nL 181.684673 24.191854 \nL 185.928032 23.268617 \nL 190.316625 22.532769 \nL 194.830295 21.983265 \nL 199.448121 21.619157 \nL 204.148557 21.439632 \nL 209.867078 21.466935 \nL 215.634127 21.758238 \nL 221.410686 22.313064 \nL 226.203626 22.976631 \nL 230.953752 23.823213 \nL 235.639065 24.853101 \nL 240.238062 26.066694 \nL 244.729869 27.464516 \nL 249.094386 29.047175 \nL 253.312394 30.815321 \nL 257.365698 32.769633 \nL 261.237215 34.91075 \nL 264.911075 37.239239 \nL 267.698029 39.23721 \nL 270.342327 41.355532 \nL 272.837726 43.594232 \nL 275.178606 45.953264 \nL 277.359965 48.432444 \nL 279.377425 51.031433 \nL 281.227246 53.749764 \nL 282.906336 56.586737 \nL 284.412231 59.5415 \nL 285.743112 62.612957 \nL 286.897802 65.799814 \nL 287.875719 69.100487 \nL 288.676913 72.513167 \nL 289.302024 76.035758 \nL 289.752243 79.665858 \nL 290.029323 83.400789 \nL 290.135712 88.212256 \nL 289.980679 93.176229 \nL 289.570873 98.285314 \nL 288.913947 103.531306 \nL 288.018478 108.905144 \nL 286.893846 114.396907 \nL 285.550119 119.995818 \nL 283.663505 126.839511 \nL 281.496072 133.799003 \nL 279.067805 140.850875 \nL 276.399108 147.970067 \nL 273.009177 156.32528 \nL 269.352451 164.691078 \nL 265.460759 173.020299 \nL 261.364836 181.263732 \nL 257.09398 189.370494 \nL 252.67572 197.2885 \nL 248.135586 204.964977 \nL 243.496945 212.346967 \nL 238.780903 219.381995 \nL 234.691299 225.09684 \nL 230.569203 230.487554 \nL 226.423953 235.52395 \nL 222.263769 240.177385 \nL 218.790748 243.743298 \nL 215.316012 247.010185 \nL 211.842807 249.964772 \nL 208.374025 252.595023 \nL 204.912259 254.890231 \nL 202.149478 256.478878 \nL 199.393805 257.843047 \nL 196.646299 258.97932 \nL 193.907986 259.884899 \nL 191.179872 260.557693 \nL 188.462976 260.996269 \nL 185.758347 261.199891 \nL 183.067071 261.168515 \nL 180.390316 260.902805 \nL 177.729331 260.404098 \nL 175.085474 259.674431 \nL 172.460224 258.716514 \nL 169.8552 257.533713 \nL 167.272203 256.130029 \nL 164.713171 254.510112 \nL 162.180265 252.679188 \nL 159.054455 250.102692 \nL 155.978186 247.218111 \nL 152.95705 244.039162 \nL 149.997204 240.580706 \nL 147.105381 236.858567 \nL 144.288883 232.889457 \nL 141.555603 228.690831 \nL 138.914004 224.280772 \nL 135.877816 218.735785 \nL 133.003149 212.945856 \nL 130.30752 206.944166 \nL 127.809263 200.764031 \nL 125.527391 194.438598 \nL 123.481473 188.000566 \nL 121.971086 182.57263 \nL 120.649877 177.106748 \nL 119.529333 171.620388 \nL 118.620755 166.130398 \nL 117.935223 160.652938 \nL 117.483415 155.203401 \nL 117.27553 149.796381 \nL 117.321104 144.445625 \nL 117.629033 139.163998 \nL 118.06967 134.996543 \nL 118.687024 130.88671 \nL 119.484342 126.839828 \nL 120.464402 122.860846 \nL 121.62952 118.954345 \nL 122.981462 115.12453 \nL 124.521463 111.375255 \nL 126.250174 107.710015 \nL 128.167653 104.131961 \nL 130.273328 100.643926 \nL 132.56601 97.248421 \nL 135.043836 93.947665 \nL 137.704289 90.743596 \nL 140.544175 87.637889 \nL 143.559634 84.631965 \nL 146.746116 81.727047 \nL 150.098402 78.924138 \nL 153.610603 76.224068 \nL 158.215696 72.994614 \nL 163.04619 69.927904 \nL 168.08634 67.024681 \nL 173.318969 64.285504 \nL 178.72551 61.710788 \nL 184.286113 59.30087 \nL 189.979744 57.056078 \nL 195.784294 54.976739 \nL 202.863647 52.700526 \nL 210.028122 50.664129 \nL 217.23502 48.868814 \nL 224.440681 47.31622 \nL 231.600866 46.008445 \nL 238.671169 44.947969 \nL 245.607408 44.137732 \nL 252.366051 43.581063 \nL 258.904621 43.281657 \nL 265.18209 43.243417 \nL 270.185521 43.414069 \nL 274.958865 43.77141 \nL 279.481791 44.317877 \nL 283.735331 45.055833 \nL 287.701952 45.987554 \nL 291.365704 47.115113 \nL 294.068976 48.159427 \nL 296.562723 49.331106 \nL 298.841142 50.63084 \nL 300.899231 52.05917 \nL 302.732713 53.616466 \nL 304.338125 55.30289 \nL 305.71278 57.118432 \nL 306.854773 59.062834 \nL 307.762997 61.13562 \nL 308.437101 63.336053 \nL 308.87751 65.663151 \nL 309.0854 68.115639 \nL 309.06267 70.691994 \nL 308.811933 73.390363 \nL 308.336475 76.208597 \nL 307.640223 79.144268 \nL 306.466405 82.974788 \nL 304.964866 86.978427 \nL 303.147036 91.148369 \nL 301.025497 95.477026 \nL 298.097922 100.869103 \nL 294.777741 106.461818 \nL 291.091534 112.237786 \nL 286.365337 119.182796 \nL 281.223885 126.319179 \nL 275.713015 133.612132 \nL 269.021221 142.091022 \nL 261.97379 150.667416 \nL 253.700765 160.355742 \nL 245.14641 169.998434 \nL 236.390923 179.501645 \nL 228.498159 187.754802 \nL 220.549131 195.755398 \nL 212.583776 203.437153 \nL 205.62802 209.846246 \nL 198.70627 215.919921 \nL 192.813456 220.828705 \nL 186.967501 225.43806 \nL 181.176389 229.725811 \nL 175.446988 233.671453 \nL 170.723915 236.684727 \nL 166.050815 239.437888 \nL 161.430373 241.922363 \nL 156.865029 244.130749 \nL 152.357098 246.05682 \nL 147.908782 247.695608 \nL 143.522281 249.043376 \nL 139.199859 250.097769 \nL 134.943907 250.857722 \nL 131.588734 251.253826 \nL 128.279199 251.462407 \nL 125.016866 251.484759 \nL 121.803453 251.322733 \nL 118.640832 250.978702 \nL 115.531046 250.455562 \nL 112.476359 249.756695 \nL 109.479205 248.886017 \nL 105.817728 247.562709 \nL 102.255985 245.98724 \nL 98.800232 244.170113 \nL 95.457259 242.122762 \nL 92.234452 239.857495 \nL 89.139736 237.387331 \nL 86.181605 234.725978 \nL 83.369056 231.887704 \nL 80.711639 228.887226 \nL 78.219298 225.739587 \nL 75.902394 222.460103 \nL 73.771628 219.064181 \nL 71.837999 215.567291 \nL 70.112712 211.984808 \nL 68.607086 208.331931 \nL 67.332475 204.62359 \nL 66.300221 200.874343 \nL 65.521471 197.098317 \nL 65.007167 193.309096 \nL 64.767897 189.519675 \nL 64.781332 186.496307 \nL 64.982208 183.486704 \nL 65.375224 180.496543 \nL 65.964772 177.531181 \nL 66.754875 174.595641 \nL 67.74925 171.694604 \nL 68.951213 168.832396 \nL 70.363655 166.013001 \nL 71.989013 163.240046 \nL 73.829241 160.516804 \nL 75.885838 157.846201 \nL 78.159729 155.230822 \nL 80.651349 152.672916 \nL 83.360527 150.174407 \nL 86.28653 147.736908 \nL 89.428067 145.361735 \nL 93.655081 142.481964 \nL 98.21073 139.702617 \nL 103.088427 137.024559 \nL 108.280089 134.448134 \nL 113.776112 131.973233 \nL 119.565417 129.599376 \nL 125.635467 127.325785 \nL 133.270277 124.728393 \nL 141.262304 122.271918 \nL 149.581978 119.954238 \nL 158.197099 117.773305 \nL 168.575153 115.399324 \nL 179.249292 113.20687 \nL 190.15701 111.194853 \nL 201.232641 109.363522 \nL 214.008454 107.494163 \nL 226.809334 105.868504 \nL 239.528098 104.494864 \nL 252.056714 103.384538 \nL 262.778714 102.640011 \nL 273.201901 102.118806 \nL 283.257243 101.833104 \nL 292.878282 101.795976 \nL 300.731215 101.972304 \nL 308.181098 102.349925 \nL 315.192889 102.937385 \nL 320.678004 103.593172 \nL 325.81929 104.40488 \nL 330.601163 105.376647 \nL 335.009696 106.512167 \nL 339.032645 107.814642 \nL 341.966285 108.978594 \nL 344.641883 110.252093 \nL 347.055663 111.635864 \nL 349.204609 113.130325 \nL 351.086467 114.73554 \nL 352.699739 116.451224 \nL 354.043718 118.276708 \nL 355.118413 120.210942 \nL 355.924592 122.252475 \nL 356.463752 124.399442 \nL 356.738066 126.649561 \nL 356.75038 129.000125 \nL 356.504227 131.448003 \nL 356.003712 133.98964 \nL 355.253581 136.621054 \nL 354.259068 139.337841 \nL 353.025949 142.135191 \nL 351.158578 145.737183 \nL 348.94126 149.445833 \nL 346.388002 153.249185 \nL 343.513587 157.13443 \nL 340.333416 161.087954 \nL 336.86337 165.095416 \nL 332.339518 169.954407 \nL 327.450033 174.842433 \nL 322.223476 179.731513 \nL 316.688259 184.592909 \nL 310.87232 189.397378 \nL 304.802944 194.115427 \nL 298.506545 198.717569 \nL 292.008475 203.174582 \nL 285.332911 207.457804 \nL 278.502714 211.539374 \nL 272.708344 214.767291 \nL 266.833299 217.821762 \nL 260.888652 220.688743 \nL 254.884823 223.355032 \nL 248.831603 225.808362 \nL 242.738203 228.037501 \nL 236.613288 230.032302 \nL 230.465016 231.783807 \nL 224.301116 233.284312 \nL 218.128936 234.527395 \nL 211.955522 235.507974 \nL 205.787684 236.222373 \nL 199.632072 236.6683 \nL 193.495254 236.844911 \nL 187.38379 236.752766 \nL 181.304319 236.393875 \nL 175.263611 235.771638 \nL 169.268665 234.890865 \nL 163.326757 233.757691 \nL 157.445504 232.379548 \nL 151.632926 230.765113 \nL 145.897508 228.924244 \nL 140.248212 226.867886 \nL 134.694536 224.608003 \nL 129.246528 222.157503 \nL 123.914793 219.530117 \nL 118.710497 216.740293 \nL 113.645393 213.803122 \nL 108.731726 210.734211 \nL 103.053292 206.900188 \nL 97.634377 202.927744 \nL 92.498762 198.845412 \nL 87.670972 194.681784 \nL 83.175932 190.46522 \nL 79.702446 186.931117 \nL 76.49217 183.395376 \nL 73.559616 179.873288 \nL 70.919074 176.379603 \nL 68.584471 172.928419 \nL 66.56932 169.533135 \nL 64.886555 166.206359 \nL 63.787894 163.602194 \nL 62.915687 161.055019 \nL 62.275443 158.57005 \nL 61.872273 156.152103 \nL 61.710809 153.805584 \nL 61.795245 151.534476 \nL 62.129231 149.342339 \nL 62.715897 147.232302 \nL 63.557771 145.207066 \nL 64.656821 143.268902 \nL 66.014393 141.41966 \nL 67.631176 139.660769 \nL 69.507226 137.993256 \nL 71.641937 136.417747 \nL 74.034016 134.93449 \nL 76.681533 133.543367 \nL 79.581845 132.243909 \nL 83.557653 130.747259 \nL 87.915364 129.390365 \nL 92.645442 128.170345 \nL 97.736787 127.083722 \nL 103.176808 126.126505 \nL 110.145174 125.142419 \nL 117.568366 124.330052 \nL 125.416772 123.680667 \nL 135.067686 123.11705 \nL 145.198735 122.74872 \nL 157.289859 122.549068 \nL 169.839511 122.566844 \nL 184.385879 122.825201 \nL 199.248906 123.316224 \nL 214.284039 124.024495 \nL 229.345824 124.940351 \nL 244.289849 126.060101 \nL 258.974632 127.385949 \nL 271.699454 128.743578 \nL 284.019511 130.278591 \nL 294.39912 131.775835 \nL 304.347741 133.425781 \nL 313.81469 135.23758 \nL 321.510492 136.926501 \nL 328.791611 138.747063 \nL 335.634082 140.704774 \nL 340.985654 142.444584 \nL 346.007002 144.28562 \nL 350.688762 146.229957 \nL 355.022943 148.279163 \nL 359.00305 150.434224 \nL 362.62403 152.695475 \nL 365.259747 154.580707 \nL 367.662059 156.533131 \nL 369.830362 158.551871 \nL 371.76462 160.635708 \nL 373.465325 162.783061 \nL 374.933506 164.991989 \nL 376.170752 167.260167 \nL 377.179156 169.584893 \nL 377.961244 171.963086 \nL 378.520036 174.391278 \nL 378.859006 176.865617 \nL 378.981962 179.381878 \nL 378.893147 181.935464 \nL 378.597121 184.521416 \nL 378.098756 187.134425 \nL 377.403208 189.768847 \nL 376.264736 193.082874 \nL 374.837601 196.408718 \nL 373.133237 199.733412 \nL 371.163364 203.043383 \nL 368.939895 206.32455 \nL 366.474846 209.56239 \nL 363.780315 212.742026 \nL 360.868261 215.848344 \nL 357.750517 218.866068 \nL 354.438678 221.779882 \nL 350.944039 224.574524 \nL 347.277554 227.234898 \nL 343.449719 229.746179 \nL 339.470641 232.093912 \nL 335.349924 234.264129 \nL 331.096647 236.243459 \nL 326.719362 238.019203 \nL 322.226106 239.579466 \nL 317.624403 240.91318 \nL 312.921233 242.010284 \nL 308.123136 242.861727 \nL 303.236149 243.459566 \nL 298.265915 243.797017 \nL 293.217703 243.868528 \nL 288.096455 243.669803 \nL 282.906845 243.197841 \nL 277.653344 242.450958 \nL 272.340292 241.428801 \nL 266.971965 240.132362 \nL 261.552646 238.56396 \nL 256.086697 236.727235 \nL 250.578651 234.627112 \nL 245.033269 232.269753 \nL 239.455621 229.662554 \nL 233.851171 226.81406 \nL 228.225826 223.733929 \nL 221.456928 219.747107 \nL 214.679465 215.462433 \nL 207.907006 210.901998 \nL 201.15458 206.089499 \nL 194.438755 201.05003 \nL 186.67423 194.918881 \nL 179.016025 188.557908 \nL 171.49886 182.011704 \nL 164.160388 175.325649 \nL 157.041008 168.545436 \nL 150.183559 161.716597 \nL 143.632992 154.884065 \nL 137.435847 148.091736 \nL 131.639745 141.38207 \nL 127.02726 135.727588 \nL 122.774835 130.188085 \nL 118.912093 124.786594 \nL 115.467853 119.544707 \nL 112.937233 115.3129 \nL 110.731509 111.216603 \nL 108.864869 107.265714 \nL 107.350462 103.469257 \nL 106.400598 100.548805 \nL 105.689329 97.736195 \nL 105.221548 95.034841 \nL 105.001521 92.447771 \nL 105.032861 89.977651 \nL 105.318482 87.626793 \nL 105.860546 85.397135 \nL 106.660482 83.290286 \nL 107.718942 81.307502 \nL 109.035778 79.449709 \nL 110.610028 77.717523 \nL 112.439932 76.111245 \nL 114.522905 74.630896 \nL 116.855531 73.276238 \nL 119.4336 72.046767 \nL 122.252082 70.941754 \nL 125.305169 69.960246 \nL 128.586269 69.101124 \nL 132.997038 68.197308 \nL 137.736646 67.479826 \nL 142.78751 66.945546 \nL 148.130478 66.591127 \nL 153.744935 66.413107 \nL 160.809703 66.427294 \nL 168.193667 66.684201 \nL 175.854611 67.177825 \nL 183.748619 67.902409 \nL 191.83044 68.85255 \nL 200.05392 70.023343 \nL 208.372388 71.410396 \nL 216.739064 73.009917 \nL 225.107458 74.818693 \nL 233.431759 76.83411 \nL 241.667212 79.054124 \nL 249.770474 81.477197 \nL 257.699946 84.102192 \nL 265.416094 86.928312 \nL 271.656349 89.436587 \nL 277.702446 92.083766 \nL 283.535592 94.869476 \nL 289.13841 97.793249 \nL 294.495041 100.854446 \nL 299.591176 104.052179 \nL 304.414113 107.385237 \nL 308.068261 110.148064 \nL 311.535545 112.995468 \nL 314.811752 115.926213 \nL 317.89332 118.938838 \nL 320.777385 122.031629 \nL 323.461774 125.202603 \nL 325.944911 128.449478 \nL 328.225936 131.76968 \nL 330.3046 135.160308 \nL 332.181221 138.618132 \nL 333.856761 142.139571 \nL 335.332717 145.720699 \nL 336.611112 149.357228 \nL 337.694509 153.044505 \nL 338.585913 156.777514 \nL 339.28879 160.550873 \nL 339.807004 164.358838 \nL 340.144842 168.19531 \nL 340.32045 173.021129 \nL 340.230994 177.868055 \nL 339.886673 182.721972 \nL 339.298234 187.568035 \nL 338.476826 192.39072 \nL 337.433858 197.17391 \nL 336.18088 201.900959 \nL 334.729574 206.55478 \nL 333.091548 211.117947 \nL 331.278326 215.572781 \nL 329.301181 219.90146 \nL 327.171146 224.086152 \nL 324.898845 228.1091 \nL 322.494531 231.952768 \nL 319.967936 235.599915 \nL 317.328331 239.033797 \nL 314.584384 242.238206 \nL 311.744213 245.197637 \nL 308.815334 247.897388 \nL 305.804654 250.323681 \nL 302.71849 252.463762 \nL 300.199063 253.961902 \nL 297.637642 255.264 \nL 295.036648 256.365178 \nL 292.398284 257.26113 \nL 289.724545 257.948103 \nL 287.01722 258.422935 \nL 284.277927 258.683084 \nL 281.5081 258.726619 \nL 278.709032 258.552256 \nL 275.881872 258.159323 \nL 273.027654 257.547793 \nL 270.147339 256.718277 \nL 267.241796 255.672041 \nL 264.311831 254.410945 \nL 261.358231 252.937486 \nL 257.634178 250.801798 \nL 253.875964 248.346467 \nL 250.085228 245.5802 \nL 246.26379 242.512967 \nL 242.4137 239.155963 \nL 237.759104 234.762491 \nL 233.071412 229.992823 \nL 228.35629 224.872088 \nL 223.620437 219.427115 \nL 218.079625 212.702498 \nL 212.536002 205.621588 \nL 206.219141 197.154636 \nL 199.950994 188.358479 \nL 193.766023 179.306943 \nL 187.703255 170.073422 \nL 181.806063 160.729987 \nL 176.121793 151.346586 \nL 170.701237 141.990345 \nL 165.597899 132.72496 \nL 161.436193 124.739366 \nL 157.597404 116.906484 \nL 154.119132 109.260936 \nL 151.452716 102.880881 \nL 149.100786 96.680174 \nL 147.084812 90.675544 \nL 145.67604 85.832412 \nL 144.525363 81.143864 \nL 143.642659 76.617036 \nL 143.036767 72.258297 \nL 142.715399 68.073291 \nL 142.667549 64.853711 \nL 142.808651 61.750692 \nL 143.140818 58.766146 \nL 143.665578 55.901739 \nL 144.383821 53.158886 \nL 145.295795 50.538757 \nL 146.401098 48.042274 \nL 147.698633 45.670152 \nL 149.186657 43.422925 \nL 150.862711 41.300901 \nL 152.723669 39.304249 \nL 154.765705 37.432978 \nL 156.984332 35.686945 \nL 159.374382 34.065904 \nL 161.930047 32.5695 \nL 164.644867 31.197255 \nL 168.251378 29.655765 \nL 172.080396 28.306333 \nL 176.115481 27.147707 \nL 180.338934 26.178632 \nL 184.731918 25.397814 \nL 189.274558 24.804022 \nL 193.946094 24.396096 \nL 198.725 24.172983 \nL 203.589125 24.13376 \nL 209.506691 24.328376 \nL 215.474704 24.785708 \nL 221.453196 25.505129 \nL 227.402286 26.48639 \nL 232.308946 27.50419 \nL 237.145427 28.704119 \nL 241.889906 30.086548 \nL 246.521245 31.651957 \nL 251.019131 33.400885 \nL 255.364203 35.333952 \nL 259.538165 37.451716 \nL 263.523892 39.754709 \nL 267.305527 42.243355 \nL 270.174099 44.368151 \nL 272.895974 46.612005 \nL 275.464982 48.974854 \nL 277.875584 51.456531 \nL 280.122863 54.056743 \nL 282.202556 56.774985 \nL 284.111043 59.610594 \nL 285.845345 62.562754 \nL 287.403153 65.630376 \nL 288.782799 68.812168 \nL 289.983235 72.10657 \nL 291.00405 75.511794 \nL 291.84545 79.025741 \nL 292.508212 82.646038 \nL 292.993703 86.369988 \nL 293.303815 90.194593 \nL 293.44857 95.111789 \nL 293.328929 100.173766 \nL 292.951788 105.37244 \nL 292.325064 110.698843 \nL 291.457538 116.143147 \nL 290.358809 121.694636 \nL 289.039116 127.341736 \nL 287.179085 134.226871 \nL 285.035959 141.208592 \nL 282.629873 148.262079 \nL 279.981328 155.360898 \nL 277.110914 162.477106 \nL 273.50896 170.762139 \nL 269.664672 178.982242 \nL 265.608784 187.086891 \nL 261.370544 195.024132 \nL 256.977447 202.741063 \nL 252.454967 210.184388 \nL 248.493313 216.306349 \nL 244.467138 222.155294 \nL 240.388579 227.698969 \nL 236.268544 232.906177 \nL 232.116768 237.747081 \nL 228.638948 241.480962 \nL 225.149507 244.925568 \nL 221.652402 248.066694 \nL 218.151171 250.891277 \nL 214.648979 253.387548 \nL 211.848458 255.141143 \nL 209.050483 256.673263 \nL 206.256302 257.979869 \nL 203.467095 259.05757 \nL 200.683991 259.903638 \nL 197.908096 260.515991 \nL 195.140509 260.893258 \nL 192.382343 261.034774 \nL 189.634751 260.940566 \nL 186.89894 260.611351 \nL 184.176188 260.048545 \nL 181.467882 259.254249 \nL 178.775515 258.231259 \nL 176.100715 256.983031 \nL 173.445264 255.513655 \nL 170.811102 253.827842 \nL 168.200361 251.930924 \nL 164.973416 249.271936 \nL 161.79169 246.304996 \nL 158.660701 243.044033 \nL 155.586524 239.504041 \nL 152.575816 235.701022 \nL 149.635807 231.651856 \nL 146.774306 227.374164 \nL 143.455995 221.964964 \nL 140.278397 216.285356 \nL 137.25813 210.368452 \nL 134.412813 204.247695 \nL 131.760929 197.956624 \nL 129.321669 191.528552 \nL 127.114755 184.996283 \nL 125.160249 178.391859 \nL 123.73886 172.855494 \nL 122.518358 167.307944 \nL 121.510211 161.765898 \nL 120.725567 156.245315 \nL 120.175202 150.761382 \nL 119.869389 145.328455 \nL 119.817778 139.960029 \nL 120.029264 134.668707 \nL 120.393331 130.499051 \nL 120.934652 126.391799 \nL 121.656474 122.352132 \nL 122.561576 118.38486 \nL 123.652268 114.49441 \nL 124.930309 110.684842 \nL 126.396912 106.95986 \nL 128.052712 103.322822 \nL 129.897736 99.776732 \nL 131.931386 96.324289 \nL 134.152408 92.967865 \nL 136.558923 89.709546 \nL 139.148363 86.551147 \nL 141.917492 83.494204 \nL 144.862383 80.540034 \nL 147.978446 77.689734 \nL 151.26041 74.944198 \nL 154.70234 72.304143 \nL 159.219572 69.15325 \nL 163.962085 66.168863 \nL 168.91406 63.351551 \nL 174.058224 60.701684 \nL 179.375953 58.219503 \nL 184.847342 55.905175 \nL 190.451321 53.75885 \nL 196.16576 51.780734 \nL 203.136387 49.629388 \nL 210.191535 47.721347 \nL 217.288609 46.057612 \nL 224.384105 44.6396 \nL 231.434003 43.469126 \nL 238.394167 42.548447 \nL 245.220748 41.880258 \nL 251.870604 41.467612 \nL 258.301696 41.313963 \nL 264.473485 41.422978 \nL 269.39061 41.717266 \nL 274.079591 42.198926 \nL 278.520464 42.870242 \nL 282.694581 43.733428 \nL 286.584815 44.790583 \nL 289.482068 45.777264 \nL 292.180407 46.89021 \nL 294.673319 48.130203 \nL 296.955025 49.497861 \nL 299.020506 50.993699 \nL 300.865479 52.618043 \nL 302.486452 54.371036 \nL 303.880704 56.252615 \nL 305.04629 58.262516 \nL 305.982057 60.400223 \nL 306.687592 62.665012 \nL 307.163262 65.055863 \nL 307.410158 67.571511 \nL 307.430109 70.210387 \nL 307.225626 72.970659 \nL 306.799898 75.850193 \nL 306.156739 78.846548 \nL 305.053848 82.752042 \nL 303.628097 86.829693 \nL 301.890656 91.072674 \nL 299.853811 95.473399 \nL 297.530875 100.023509 \nL 294.385731 105.667937 \nL 290.874937 111.497147 \nL 287.025469 117.492467 \nL 282.143507 124.67004 \nL 276.883324 132.011971 \nL 270.466249 140.556871 \nL 263.68014 149.210319 \nL 256.589158 157.910953 \nL 248.323268 167.675778 \nL 239.829658 177.325069 \nL 232.148282 185.727473 \nL 224.391553 193.894523 \nL 216.600515 201.758553 \nL 209.783449 208.338781 \nL 202.98828 214.593017 \nL 196.232854 220.479878 \nL 190.485707 225.203611 \nL 184.787125 229.60554 \nL 179.144129 233.664253 \nL 174.48846 236.770186 \nL 169.878636 239.613977 \nL 165.317377 242.186497 \nL 160.807136 244.479748 \nL 156.350211 246.486965 \nL 151.948783 248.202604 \nL 147.605004 249.622423 \nL 143.321062 250.743526 \nL 139.938535 251.424238 \nL 136.597042 251.912584 \nL 133.29794 252.208962 \nL 130.042697 252.31432 \nL 126.832924 252.230171 \nL 123.670384 251.95859 \nL 120.557002 251.502161 \nL 117.494894 250.864019 \nL 114.486364 250.047804 \nL 111.533949 249.057652 \nL 107.926518 247.582404 \nL 104.416902 245.852578 \nL 101.011536 243.879155 \nL 97.717395 241.674072 \nL 94.542095 239.250109 \nL 91.493765 236.620788 \nL 88.581127 233.800279 \nL 85.813445 230.803308 \nL 83.200423 227.645011 \nL 80.75225 224.340854 \nL 78.479526 220.906534 \nL 76.393167 217.357846 \nL 74.504404 213.710583 \nL 72.824588 209.980443 \nL 71.365222 206.182915 \nL 70.137866 202.333181 \nL 69.153975 198.446045 \nL 68.424847 194.535827 \nL 67.961491 190.616296 \nL 67.789348 187.482826 \nL 67.799375 184.358252 \nL 67.996569 181.248688 \nL 68.385676 178.159943 \nL 68.971141 175.097497 \nL 69.757072 172.066489 \nL 70.747182 169.071718 \nL 71.944845 166.117624 \nL 73.352966 163.208295 \nL 74.974013 160.347462 \nL 76.809943 157.538498 \nL 78.862206 154.784427 \nL 81.131753 152.087927 \nL 83.618959 149.451336 \nL 86.323632 146.87667 \nL 89.24497 144.365626 \nL 92.381579 141.919607 \nL 95.731469 139.539726 \nL 100.214709 136.659162 \nL 105.020547 133.88439 \nL 110.140932 131.216005 \nL 115.566296 128.654148 \nL 121.285513 126.198556 \nL 127.285978 123.848656 \nL 133.553617 121.603633 \nL 141.405515 119.04666 \nL 149.590341 116.637466 \nL 158.075989 114.374209 \nL 166.827827 112.25525 \nL 177.32535 109.963783 \nL 188.072595 107.865763 \nL 199.003958 105.961185 \nL 210.051057 104.251475 \nL 221.143341 102.739608 \nL 232.20875 101.430261 \nL 243.174393 100.329783 \nL 253.967273 99.446162 \nL 264.515008 98.788923 \nL 274.746567 98.368931 \nL 284.593058 98.198115 \nL 292.676234 98.259641 \nL 300.388346 98.521818 \nL 307.692103 98.992939 \nL 314.552759 99.681138 \nL 319.908367 100.426081 \nL 324.91723 101.331381 \nL 329.564095 102.400873 \nL 333.835414 103.637961 \nL 336.974047 104.750243 \nL 339.859484 105.97283 \nL 342.487255 107.306637 \nL 344.853655 108.752293 \nL 346.955734 110.310112 \nL 348.791332 111.980064 \nL 350.359053 113.761767 \nL 351.658246 115.654463 \nL 352.689049 117.657017 \nL 353.452341 119.767889 \nL 353.949688 121.985138 \nL 354.183413 124.3064 \nL 354.156487 126.728898 \nL 353.872523 129.249429 \nL 353.335776 131.864366 \nL 352.55108 134.569667 \nL 351.523777 137.360868 \nL 350.259776 140.233097 \nL 348.356606 143.929261 \nL 346.106805 147.732623 \nL 343.524586 151.631133 \nL 340.62488 155.611888 \nL 337.423214 159.66119 \nL 333.20522 164.590475 \nL 328.603781 169.571498 \nL 323.647512 174.576947 \nL 318.365102 179.578551 \nL 312.784951 184.547335 \nL 306.934951 189.453854 \nL 300.842274 194.268443 \nL 294.533127 198.961476 \nL 288.032587 203.503647 \nL 281.364517 207.866217 \nL 274.551442 212.021294 \nL 268.77839 215.306 \nL 262.930825 218.413212 \nL 257.019565 221.328926 \nL 251.054764 224.03996 \nL 245.045964 226.534119 \nL 239.002101 228.800218 \nL 232.931581 230.828202 \nL 226.842306 232.609214 \nL 220.741748 234.135613 \nL 214.637012 235.401102 \nL 208.534903 236.400712 \nL 202.442002 237.130875 \nL 196.364744 237.589447 \nL 190.30949 237.775712 \nL 184.282602 237.690386 \nL 178.290532 237.335586 \nL 172.339883 236.714899 \nL 166.437486 235.833248 \nL 160.590465 234.69694 \nL 154.806294 233.313527 \nL 149.092868 231.691848 \nL 143.458533 229.841902 \nL 137.91214 227.774758 \nL 132.463057 225.502521 \nL 127.121238 223.038206 \nL 121.897168 220.395664 \nL 116.801907 217.589447 \nL 111.847114 214.63475 \nL 107.044935 211.547255 \nL 102.40804 208.343058 \nL 97.080479 204.367032 \nL 92.033394 200.275096 \nL 87.290921 196.095935 \nL 82.877746 191.857985 \nL 79.469636 188.301671 \nL 76.322028 184.739796 \nL 73.449282 181.187738 \nL 70.865576 177.660328 \nL 68.584802 174.171768 \nL 66.620383 170.735552 \nL 64.985192 167.3644 \nL 63.922307 164.722331 \nL 63.083817 162.135184 \nL 62.475244 159.608238 \nL 62.10171 157.146377 \nL 61.96788 154.754077 \nL 62.07794 152.435393 \nL 62.435615 150.193957 \nL 63.04404 148.032977 \nL 63.905808 145.955229 \nL 65.022934 143.963066 \nL 66.396823 142.058417 \nL 68.02824 140.242799 \nL 69.91729 138.517321 \nL 72.063445 136.8827 \nL 74.465518 135.339268 \nL 77.121632 133.886999 \nL 80.029239 132.525518 \nL 83.185114 131.254123 \nL 87.473126 129.790009 \nL 92.133894 128.462499 \nL 97.156809 127.268415 \nL 102.529727 126.204055 \nL 109.41991 125.092191 \nL 116.768133 124.153318 \nL 124.545416 123.379105 \nL 134.118965 122.672452 \nL 144.179424 122.164378 \nL 154.668926 121.841408 \nL 167.10381 121.682663 \nL 179.923759 121.731894 \nL 194.683219 122.017787 \nL 209.660484 122.53233 \nL 224.709503 123.264951 \nL 239.684462 124.210952 \nL 254.441716 125.371548 \nL 267.263554 126.588695 \nL 279.708815 127.988743 \nL 290.218977 129.372134 \nL 300.315646 130.912071 \nL 309.945974 132.617723 \nL 317.792339 134.218837 \nL 325.232178 135.954708 \nL 332.240024 137.831088 \nL 337.733394 139.505917 \nL 342.89924 141.284748 \nL 347.727338 143.169907 \nL 352.208851 145.163248 \nL 356.336428 147.266066 \nL 360.10418 149.47903 \nL 362.856302 151.328715 \nL 365.373705 153.248538 \nL 367.655417 155.237816 \nL 369.701014 157.295527 \nL 371.510692 159.420292 \nL 373.085182 161.610366 \nL 374.425753 163.86363 \nL 375.534212 166.177582 \nL 376.41288 168.549331 \nL 377.064557 170.975599 \nL 377.492492 173.45272 \nL 377.700354 175.976639 \nL 377.692236 178.542926 \nL 377.472586 181.146778 \nL 377.046172 183.783024 \nL 376.418082 186.446152 \nL 375.593701 189.130311 \nL 374.295708 192.505664 \nL 372.7111 195.891529 \nL 370.85164 199.274556 \nL 368.729335 202.64081 \nL 366.356406 205.975848 \nL 363.745168 209.264817 \nL 360.907878 212.492535 \nL 357.856735 215.643597 \nL 354.603698 218.702474 \nL 351.160544 221.65362 \nL 347.538662 224.481564 \nL 343.749083 227.171038 \nL 339.802396 229.707072 \nL 335.708754 232.075146 \nL 331.477784 234.261207 \nL 327.118575 236.251837 \nL 322.639703 238.034346 \nL 318.049193 239.596877 \nL 313.35457 240.928447 \nL 308.562819 242.019113 \nL 303.680462 242.859956 \nL 298.713549 243.443218 \nL 293.667739 243.762347 \nL 288.548314 243.812001 \nL 283.360253 243.588179 \nL 278.108302 243.088162 \nL 272.797005 242.310585 \nL 267.430798 241.255466 \nL 262.014076 239.924144 \nL 256.551273 238.319309 \nL 251.04692 236.445 \nL 245.505749 234.306522 \nL 239.93274 231.910472 \nL 234.333217 229.264662 \nL 228.712908 226.378035 \nL 223.078021 223.260669 \nL 216.306455 219.230923 \nL 209.536452 214.905885 \nL 202.782197 210.308303 \nL 196.059344 205.462502 \nL 189.385109 200.394163 \nL 182.778314 195.130097 \nL 175.18299 188.778301 \nL 167.742591 182.242954 \nL 160.495218 175.569919 \nL 153.481644 168.805301 \nL 146.744979 161.994988 \nL 140.330322 155.184188 \nL 134.284203 148.416992 \nL 129.431116 142.683558 \nL 124.91373 137.039164 \nL 120.761926 131.508325 \nL 117.005047 126.114215 \nL 114.196569 121.739274 \nL 111.697952 117.486113 \nL 109.524253 113.365646 \nL 107.689593 109.387955 \nL 106.207097 105.562261 \nL 105.282684 102.616764 \nL 104.596786 99.777738 \nL 104.154285 97.048656 \nL 103.959469 94.432632 \nL 104.015939 91.932402 \nL 104.326611 89.550327 \nL 104.89368 87.288425 \nL 105.718564 85.148344 \nL 106.801961 83.13139 \nL 108.143744 81.238537 \nL 109.742976 79.470432 \nL 111.59792 77.827424 \nL 113.706013 76.30958 \nL 116.063884 74.916656 \nL 118.667347 73.648192 \nL 121.511423 72.503461 \nL 124.590327 71.481552 \nL 127.897507 70.581349 \nL 132.341301 69.625283 \nL 137.114467 68.854525 \nL 142.199483 68.265976 \nL 147.577255 67.856323 \nL 153.227213 67.622078 \nL 160.335566 67.567552 \nL 167.76424 67.754392 \nL 175.471055 68.176612 \nL 183.412093 68.828453 \nL 191.542089 69.704578 \nL 199.814836 70.800097 \nL 208.18358 72.110679 \nL 216.601428 73.632606 \nL 225.021744 75.362733 \nL 233.398541 77.298563 \nL 241.686855 79.438157 \nL 249.843094 81.780124 \nL 257.825395 84.323468 \nL 265.593926 87.067574 \nL 271.877274 89.507385 \nL 277.965743 92.086117 \nL 283.840336 94.80354 \nL 289.483469 97.65934 \nL 294.879066 100.653025 \nL 300.012617 103.783869 \nL 304.871203 107.050841 \nL 308.55246 109.761502 \nL 312.045464 112.557468 \nL 315.345904 115.437608 \nL 318.450133 118.400557 \nL 321.355179 121.444702 \nL 324.058777 124.568163 \nL 326.559281 127.768766 \nL 328.85573 131.044042 \nL 330.947782 134.391197 \nL 332.835711 137.807103 \nL 334.520398 141.288288 \nL 336.003294 144.83093 \nL 337.286366 148.430842 \nL 338.372129 152.083475 \nL 339.263568 155.783909 \nL 339.964135 159.526858 \nL 340.477661 163.306672 \nL 340.808411 167.11734 \nL 340.971842 171.914337 \nL 340.866493 176.736393 \nL 340.502609 181.569539 \nL 339.891006 186.399055 \nL 339.042866 191.209534 \nL 337.969714 195.984954 \nL 336.683224 200.70874 \nL 335.195137 205.363866 \nL 333.517253 209.93294 \nL 331.661189 214.398304 \nL 329.63839 218.742135 \nL 327.460049 222.946562 \nL 325.136959 226.99378 \nL 322.679514 230.866176 \nL 320.097661 234.546417 \nL 317.400809 238.017617 \nL 314.59783 241.263437 \nL 311.697027 244.268191 \nL 308.706069 247.016995 \nL 305.632053 249.495856 \nL 302.481455 251.691764 \nL 299.909812 253.236751 \nL 297.295676 254.587495 \nL 294.641551 255.738982 \nL 291.949724 256.686733 \nL 289.222275 257.426858 \nL 286.46107 257.956047 \nL 283.667787 258.271562 \nL 280.843954 258.371341 \nL 277.990937 258.253904 \nL 275.109965 257.918436 \nL 272.202147 257.364752 \nL 269.2685 256.593295 \nL 266.309968 255.605144 \nL 263.327432 254.402018 \nL 260.321749 252.986255 \nL 256.533391 250.922069 \nL 252.71187 248.537301 \nL 248.858975 245.840375 \nL 244.976656 242.841022 \nL 241.0671 239.550215 \nL 237.132797 235.980069 \nL 232.38302 231.345798 \nL 227.607496 226.352893 \nL 222.812997 221.02766 \nL 217.206062 214.432027 \nL 211.598864 207.46813 \nL 206.00864 200.183824 \nL 199.666211 191.529367 \nL 193.405968 182.594251 \nL 187.266468 173.45229 \nL 181.290673 164.176304 \nL 175.525625 154.837276 \nL 170.021896 145.503592 \nL 164.832926 136.240398 \nL 160.594364 128.241262 \nL 156.677096 120.381594 \nL 153.119023 112.697169 \nL 150.383434 106.275075 \nL 147.962005 100.025063 \nL 145.876578 93.964584 \nL 144.410267 89.07043 \nL 143.202679 84.32721 \nL 142.263997 79.742447 \nL 141.603401 75.32289 \nL 141.228947 71.07453 \nL 141.140051 67.802666 \nL 141.24157 64.646104 \nL 141.535835 61.606936 \nL 142.024561 58.686958 \nL 142.708853 55.887693 \nL 143.589156 53.210453 \nL 144.665263 50.656283 \nL 145.936307 48.225979 \nL 147.400721 45.92017 \nL 149.056246 43.739264 \nL 150.899933 41.68349 \nL 152.92814 39.752929 \nL 155.136552 37.947492 \nL 157.520153 36.266958 \nL 160.073275 34.711007 \nL 162.789604 33.279206 \nL 166.403889 31.663266 \nL 170.247394 30.239391 \nL 174.303842 29.00635 \nL 178.555662 27.962851 \nL 182.984092 27.10759 \nL 187.569297 26.439286 \nL 192.290506 25.956732 \nL 197.12613 25.658831 \nL 202.053918 25.544599 \nL 208.056822 25.648823 \nL 214.11959 26.015251 \nL 220.201804 26.643173 \nL 226.263045 27.532254 \nL 231.269151 28.472654 \nL 236.210092 29.594651 \nL 241.063596 30.898574 \nL 245.808049 32.384909 \nL 250.422635 34.054206 \nL 254.887455 35.907092 \nL 259.183657 37.94418 \nL 263.293543 40.16608 \nL 267.20067 42.573288 \nL 270.170189 44.632719 \nL 272.99317 46.811101 \nL 275.663154 49.108426 \nL 278.174262 51.524597 \nL 280.521299 54.059364 \nL 282.699686 56.712321 \nL 284.705518 59.482919 \nL 286.535536 62.370387 \nL 288.18714 65.373752 \nL 289.658402 68.491808 \nL 290.94802 71.723122 \nL 292.055335 75.065983 \nL 292.980326 78.518426 \nL 293.723563 82.078176 \nL 294.286191 85.742667 \nL 294.669935 89.509001 \nL 294.877065 93.373975 \nL 294.891854 98.338462 \nL 294.641477 103.443801 \nL 294.133433 108.68145 \nL 293.376201 114.041988 \nL 292.37911 119.515115 \nL 291.152211 125.089656 \nL 289.706194 130.753558 \nL 287.697527 137.649961 \nL 285.409538 144.632511 \nL 282.862803 151.67565 \nL 280.078175 158.752248 \nL 277.076511 165.833728 \nL 273.327744 174.061686 \nL 269.343544 182.206165 \nL 265.154575 190.216066 \nL 260.789921 198.039054 \nL 256.276771 205.622066 \nL 252.309255 211.890458 \nL 248.265629 217.910174 \nL 244.159158 223.648479 \nL 240.001868 229.073464 \nL 235.804556 234.154379 \nL 232.283189 238.10444 \nL 228.745693 241.779147 \nL 225.196525 245.163409 \nL 221.639682 248.243217 \nL 218.078737 251.005765 \nL 214.516895 253.439514 \nL 211.668726 255.142923 \nL 208.823192 256.624866 \nL 205.981565 257.881445 \nL 203.145051 258.909403 \nL 200.314806 259.706153 \nL 197.491968 260.269782 \nL 194.677672 260.599059 \nL 191.873067 260.693462 \nL 189.079347 260.553168 \nL 186.297761 260.179036 \nL 183.529641 259.572625 \nL 180.776424 258.736192 \nL 178.039658 257.672634 \nL 175.321033 256.385546 \nL 172.622392 254.879144 \nL 169.945745 253.158271 \nL 167.293293 251.228339 \nL 164.015422 248.531147 \nL 160.784275 245.529571 \nL 157.605516 242.237684 \nL 154.4854 238.670637 \nL 151.430764 234.844575 \nL 148.449028 230.776431 \nL 145.548196 226.483919 \nL 142.736854 221.985328 \nL 139.494267 216.341418 \nL 136.410516 210.460792 \nL 133.503395 204.376849 \nL 130.791576 198.123064 \nL 128.294457 191.732706 \nL 126.031959 185.238537 \nL 124.340407 179.770556 \nL 122.837685 174.27075 \nL 121.535565 168.75657 \nL 120.445674 163.244829 \nL 119.579377 157.751635 \nL 118.947674 152.292324 \nL 118.561095 146.88142 \nL 118.429563 141.532588 \nL 118.562284 136.258605 \nL 118.86437 132.101313 \nL 119.34483 128.005186 \nL 120.007072 123.975496 \nL 120.85408 120.017132 \nL 121.888341 116.13461 \nL 123.11181 112.332074 \nL 124.525893 108.613309 \nL 126.131442 104.981739 \nL 127.928675 101.440441 \nL 129.917196 97.992169 \nL 132.095972 94.639358 \nL 134.463309 91.384147 \nL 137.016842 88.228387 \nL 139.753534 85.173663 \nL 142.66967 82.221317 \nL 145.760831 79.372469 \nL 149.021923 76.628035 \nL 152.447183 73.988734 \nL 156.949763 70.838327 \nL 161.684769 67.853888 \nL 166.636641 65.035973 \nL 171.788392 62.384911 \nL 177.12159 59.900914 \nL 182.616518 57.58408 \nL 188.252253 55.434514 \nL 194.00678 53.452324 \nL 199.857112 51.637703 \nL 206.970391 49.681788 \nL 214.14486 47.968443 \nL 221.337011 46.498872 \nL 228.502659 45.274704 \nL 235.597341 44.298004 \nL 242.576716 43.571278 \nL 249.396992 43.097482 \nL 256.015308 42.879939 \nL 262.390173 42.922296 \nL 267.487835 43.158879 \nL 272.366858 43.580913 \nL 277.006503 44.190725 \nL 281.387304 44.990592 \nL 285.491231 45.98271 \nL 289.301756 47.169125 \nL 292.128864 48.259401 \nL 294.751793 49.476041 \nL 297.164442 50.819753 \nL 299.361425 52.291077 \nL 301.33813 53.890412 \nL 303.090726 55.61798 \nL 304.61616 57.47378 \nL 305.912147 59.457618 \nL 306.977192 61.569059 \nL 307.81056 63.807431 \nL 308.412308 66.171786 \nL 308.783206 68.660928 \nL 308.924787 71.273352 \nL 308.839276 74.007278 \nL 308.529587 76.860642 \nL 307.999277 79.831046 \nL 307.252541 82.915782 \nL 306.022086 86.927865 \nL 304.471458 91.107256 \nL 302.612387 95.446584 \nL 300.457662 99.937683 \nL 297.501131 105.514692 \nL 294.163909 111.280431 \nL 290.472556 117.216451 \nL 285.755089 124.330349 \nL 280.637664 131.614734 \nL 275.165286 139.033066 \nL 268.533815 147.625345 \nL 261.562299 156.28083 \nL 254.313257 164.935643 \nL 246.845657 173.523677 \nL 239.214206 181.977282 \nL 231.468798 190.228008 \nL 223.654205 198.207438 \nL 216.790872 204.913747 \nL 209.928079 211.31645 \nL 203.086048 217.372923 \nL 197.251262 222.257756 \nL 191.454045 226.834198 \nL 185.702617 231.079698 \nL 180.004071 234.973472 \nL 175.300141 237.935976 \nL 170.640364 240.631423 \nL 166.027571 243.05118 \nL 161.464365 245.187833 \nL 156.953181 247.035212 \nL 152.496393 248.588408 \nL 148.096349 249.843854 \nL 143.755468 250.7993 \nL 140.327069 251.347069 \nL 136.939551 251.702471 \nL 133.59444 251.866295 \nL 130.293337 251.839842 \nL 127.038013 251.625026 \nL 123.830402 251.224265 \nL 120.672595 250.640533 \nL 117.566891 249.877312 \nL 114.515805 248.938594 \nL 111.522024 247.828844 \nL 107.864892 246.208698 \nL 104.308157 244.339667 \nL 100.858624 242.233309 \nL 97.523711 239.902093 \nL 94.311378 237.359293 \nL 91.230165 234.618885 \nL 88.289183 231.695435 \nL 85.498027 228.603999 \nL 82.86677 225.360027 \nL 80.405929 221.9792 \nL 78.126412 218.477408 \nL 76.039414 214.870568 \nL 74.156378 211.174545 \nL 72.488899 207.405045 \nL 71.048662 203.577522 \nL 69.847339 199.707079 \nL 68.896458 195.808382 \nL 68.207347 191.895573 \nL 67.791017 187.982202 \nL 67.661487 184.859777 \nL 67.718494 181.75152 \nL 67.966956 178.663388 \nL 68.411527 175.601008 \nL 69.056504 172.569672 \nL 69.905856 169.574328 \nL 70.96315 166.619562 \nL 72.23153 163.709604 \nL 73.713706 160.848324 \nL 75.411907 158.039229 \nL 77.327848 155.285467 \nL 79.462719 152.589837 \nL 81.817182 149.954786 \nL 84.391306 147.382431 \nL 87.184578 144.874561 \nL 90.195898 142.432656 \nL 93.423529 140.057901 \nL 97.758659 137.185245 \nL 102.422115 134.420123 \nL 107.406361 131.763184 \nL 112.702388 129.214577 \nL 118.299587 126.774032 \nL 124.185848 124.440918 \nL 130.347595 122.214335 \nL 138.084049 119.681508 \nL 146.166836 117.298401 \nL 154.564577 115.06286 \nL 163.243344 112.97285 \nL 173.675164 110.716156 \nL 184.378593 108.653258 \nL 195.28879 106.783333 \nL 206.337994 105.106947 \nL 217.456143 103.626209 \nL 228.571504 102.344917 \nL 239.611353 101.268571 \nL 250.502687 100.404371 \nL 261.172924 99.761111 \nL 271.550663 99.349009 \nL 281.566405 99.179469 \nL 291.153298 99.264795 \nL 298.98106 99.550515 \nL 306.409397 100.04111 \nL 313.403185 100.744679 \nL 318.875918 101.499292 \nL 324.007246 102.411442 \nL 328.781572 103.485016 \nL 333.184983 104.72349 \nL 336.432395 105.835002 \nL 339.42916 107.055211 \nL 342.170591 108.385108 \nL 344.652733 109.825384 \nL 346.872464 111.376437 \nL 348.827382 113.038321 \nL 350.51583 114.810748 \nL 351.93695 116.693058 \nL 353.09064 118.684207 \nL 353.977517 120.782763 \nL 354.59893 122.986884 \nL 354.95696 125.294314 \nL 355.054328 127.702379 \nL 354.89443 130.207979 \nL 354.481279 132.807594 \nL 353.819472 135.497275 \nL 352.914175 138.272658 \nL 351.771061 141.128967 \nL 350.396269 144.061019 \nL 348.362037 147.824067 \nL 345.98976 151.685003 \nL 343.293925 155.631224 \nL 340.28966 159.649306 \nL 336.992638 163.725062 \nL 332.672383 168.671107 \nL 327.981842 173.651892 \nL 322.949414 178.639501 \nL 317.603388 183.605175 \nL 311.97166 188.519564 \nL 306.081523 193.352976 \nL 299.959416 198.075619 \nL 293.630752 202.657893 \nL 287.119785 207.070649 \nL 280.449497 211.285455 \nL 274.784858 214.626749 \nL 269.036405 217.796284 \nL 263.215243 220.779546 \nL 257.331835 223.562839 \nL 251.395989 226.13337 \nL 245.416908 228.479345 \nL 239.40324 230.590051 \nL 233.3631 232.45592 \nL 227.304146 234.068628 \nL 221.233633 235.42116 \nL 215.158484 236.507779 \nL 209.085356 237.324206 \nL 203.020721 237.867529 \nL 196.970936 238.136268 \nL 190.942326 238.130432 \nL 184.941263 237.851411 \nL 178.974235 237.302093 \nL 173.047922 236.486737 \nL 167.169267 235.411003 \nL 161.345542 234.081867 \nL 155.584415 232.507603 \nL 149.89397 230.697694 \nL 144.282823 228.662767 \nL 138.760074 226.414507 \nL 133.335391 223.965588 \nL 128.019023 221.329572 \nL 122.821792 218.520788 \nL 117.75511 215.554259 \nL 112.830936 212.445577 \nL 108.061789 209.210783 \nL 102.561821 205.185673 \nL 97.327214 201.031353 \nL 92.382162 196.776784 \nL 87.751453 192.450847 \nL 84.150825 188.811986 \nL 80.800683 185.159598 \nL 77.715696 181.509488 \nL 74.91042 177.876975 \nL 72.399169 174.276796 \nL 70.195879 170.723022 \nL 68.314033 167.228985 \nL 66.76648 163.807202 \nL 65.777296 161.12966 \nL 65.015639 158.511376 \nL 64.486952 155.957496 \nL 64.196232 153.472764 \nL 64.148039 151.061508 \nL 64.346389 148.727633 \nL 64.794801 146.474617 \nL 65.496248 144.305511 \nL 66.453087 142.222937 \nL 67.667089 140.229093 \nL 69.139375 138.325756 \nL 70.870424 136.51429 \nL 72.860066 134.795663 \nL 75.107466 133.170454 \nL 77.611079 131.638866 \nL 80.368689 130.200749 \nL 83.377369 128.855615 \nL 87.485771 127.303703 \nL 91.972316 125.893599 \nL 96.826883 124.62246 \nL 102.037765 123.486884 \nL 107.591687 122.48299 \nL 114.688406 121.446108 \nL 122.229769 120.584751 \nL 130.18501 119.890578 \nL 139.944703 119.28064 \nL 150.165711 118.873201 \nL 160.787785 118.655279 \nL 173.337077 118.622849 \nL 186.22914 118.806224 \nL 201.01617 119.254052 \nL 215.961755 119.944187 \nL 230.918073 120.8681 \nL 245.738499 122.02303 \nL 258.682065 123.245773 \nL 271.307432 124.658707 \nL 282.02022 126.057487 \nL 292.358759 127.615182 \nL 302.267357 129.339781 \nL 310.378911 130.957368 \nL 318.106487 132.709451 \nL 325.422569 134.601493 \nL 332.302359 136.638652 \nL 337.686254 138.45052 \nL 342.740633 140.36873 \nL 347.455734 142.395181 \nL 351.823255 144.531266 \nL 355.83644 146.777801 \nL 358.788225 148.654693 \nL 361.507762 150.602156 \nL 363.993642 152.619645 \nL 366.245009 154.706283 \nL 368.261634 156.860853 \nL 370.043849 159.081784 \nL 371.592545 161.367134 \nL 372.909151 163.71459 \nL 373.995646 166.121455 \nL 374.854488 168.58465 \nL 375.488604 171.100703 \nL 375.901389 173.665762 \nL 376.096674 176.275594 \nL 376.07862 178.92558 \nL 375.851802 181.610739 \nL 375.421123 184.325738 \nL 374.791741 187.064891 \nL 373.969109 189.82219 \nL 372.677714 193.284676 \nL 371.104699 196.752634 \nL 369.261886 200.212459 \nL 367.161362 203.649958 \nL 364.815359 207.050476 \nL 362.236158 210.398943 \nL 359.436004 213.680004 \nL 356.427016 216.878103 \nL 353.221097 219.977585 \nL 349.829863 222.96279 \nL 346.264611 225.8182 \nL 342.536202 228.528486 \nL 338.655075 231.078689 \nL 334.631143 233.454264 \nL 330.473862 235.641219 \nL 326.192104 237.626243 \nL 321.794204 239.396717 \nL 317.287971 240.940925 \nL 312.680677 242.248063 \nL 307.979056 243.308362 \nL 303.18938 244.113117 \nL 298.31744 244.65481 \nL 293.368643 244.927136 \nL 288.348021 244.925055 \nL 283.26029 244.644839 \nL 278.109937 244.084088 \nL 272.901262 243.241766 \nL 267.638449 242.118201 \nL 262.325648 240.715075 \nL 256.967048 239.035435 \nL 251.566949 237.083655 \nL 246.129835 234.865404 \nL 240.660459 232.38758 \nL 235.163913 229.65833 \nL 229.645702 226.686917 \nL 224.111807 223.483712 \nL 217.459668 219.34999 \nL 210.806814 214.920346 \nL 204.167059 210.217952 \nL 197.555697 205.267506 \nL 190.989592 200.095035 \nL 183.411064 193.816065 \nL 175.951476 187.316253 \nL 168.645949 180.641135 \nL 161.53248 173.836832 \nL 154.65169 166.949561 \nL 148.046533 160.025177 \nL 141.761893 153.108723 \nL 135.844069 146.24401 \nL 131.09935 140.433178 \nL 126.688622 134.7168 \nL 122.641508 129.119061 \nL 118.987086 123.662772 \nL 116.262027 119.239354 \nL 113.844839 114.940504 \nL 111.750363 110.776911 \nL 109.992502 106.758426 \nL 108.58413 102.894036 \nL 107.716907 99.918944 \nL 107.086165 97.051423 \nL 106.696658 94.294844 \nL 106.552538 91.652221 \nL 106.657247 89.12619 \nL 107.013562 86.71904 \nL 107.623495 84.432701 \nL 108.48834 82.268758 \nL 109.608632 80.228451 \nL 110.984076 78.312719 \nL 112.613596 76.522164 \nL 114.495293 74.857101 \nL 116.626471 73.317569 \nL 119.003607 71.903329 \nL 121.622374 70.613921 \nL 124.477632 69.448653 \nL 127.56347 68.406606 \nL 130.873206 67.486725 \nL 135.313839 66.50674 \nL 140.076578 65.712965 \nL 145.143666 65.102409 \nL 150.495809 64.671919 \nL 156.112273 64.4182 \nL 163.169815 64.342349 \nL 170.535868 64.510459 \nL 178.168071 64.916924 \nL 186.022367 65.556412 \nL 194.053418 66.423991 \nL 202.214985 67.515214 \nL 210.460358 68.826151 \nL 218.742748 70.353462 \nL 227.015689 72.094429 \nL 235.233433 74.046908 \nL 243.351324 76.20927 \nL 251.326165 78.580413 \nL 259.116542 81.159592 \nL 265.43919 83.4675 \nL 271.584935 85.919399 \nL 277.533538 88.515134 \nL 283.266144 91.254497 \nL 288.765328 94.137188 \nL 294.015187 97.162701 \nL 299.001389 100.330288 \nL 303.711213 103.638882 \nL 307.272584 106.386313 \nL 310.645072 109.22209 \nL 313.824477 112.145026 \nL 316.807282 115.153721 \nL 319.59064 118.246499 \nL 322.172414 121.421416 \nL 324.551116 124.676228 \nL 326.725913 128.008383 \nL 328.696632 131.415004 \nL 330.463686 134.892877 \nL 332.028115 138.438437 \nL 333.391484 142.047759 \nL 334.555933 145.716555 \nL 335.524114 149.440166 \nL 336.299171 153.213558 \nL 336.884683 157.031327 \nL 337.284628 160.887701 \nL 337.503386 164.776542 \nL 337.529248 169.67332 \nL 337.289236 174.597216 \nL 336.793843 179.533984 \nL 336.05407 184.468624 \nL 335.081304 189.385447 \nL 333.887197 194.268133 \nL 332.48357 199.099822 \nL 330.882325 203.86318 \nL 329.095308 208.540508 \nL 327.13425 213.113838 \nL 325.010676 217.565041 \nL 322.73579 221.875932 \nL 320.320443 226.028411 \nL 317.775063 230.004539 \nL 315.109584 233.786694 \nL 312.333406 237.357699 \nL 309.455407 240.700923 \nL 306.483841 243.800383 \nL 303.426398 246.640942 \nL 300.290132 249.208343 \nL 297.081503 251.489364 \nL 294.466452 253.099814 \nL 291.811584 254.513557 \nL 289.119396 255.725512 \nL 286.392183 256.7311 \nL 283.632011 257.526344 \nL 280.84077 258.107862 \nL 278.020161 258.472899 \nL 275.171717 258.619313 \nL 272.296839 258.545597 \nL 269.39679 258.250919 \nL 266.472719 257.735067 \nL 263.525698 256.998484 \nL 260.556734 256.042285 \nL 257.566777 254.868207 \nL 254.55676 253.478613 \nL 251.527612 251.876488 \nL 247.715733 249.5805 \nL 243.87741 246.966384 \nL 240.014785 244.043776 \nL 236.13023 240.823577 \nL 232.226432 237.317901 \nL 227.520792 232.752936 \nL 222.79795 227.820631 \nL 218.065017 222.547492 \nL 213.330243 216.961569 \nL 207.816748 210.088493 \nL 202.331073 202.877832 \nL 196.893132 195.379087 \nL 190.765846 186.520676 \nL 184.768299 177.426554 \nL 178.94263 168.171024 \nL 173.33497 158.826743 \nL 167.994883 149.463904 \nL 163.582931 141.308984 \nL 159.452285 133.2338 \nL 155.639953 125.278451 \nL 152.653753 118.583396 \nL 149.95183 112.025826 \nL 147.556754 105.626054 \nL 145.490228 99.402764 \nL 144.033955 94.363835 \nL 142.831249 89.468273 \nL 141.892384 84.724243 \nL 141.226689 80.139118 \nL 140.842436 75.719472 \nL 140.742473 72.306836 \nL 140.830231 69.0065 \nL 141.108197 65.820776 \nL 141.578282 62.751719 \nL 142.241787 59.801109 \nL 143.099394 56.97046 \nL 144.15112 54.261011 \nL 145.39633 51.673791 \nL 146.83372 49.209604 \nL 148.461296 46.869018 \nL 150.276371 44.652423 \nL 152.275571 42.560031 \nL 154.45485 40.591903 \nL 156.809467 38.747935 \nL 159.334022 37.027921 \nL 162.022465 35.431535 \nL 164.868096 33.95835 \nL 168.635007 32.289382 \nL 172.620537 30.81107 \nL 176.807779 29.522228 \nL 181.178596 28.421662 \nL 185.713707 27.508166 \nL 190.392818 26.780571 \nL 195.194741 26.237798 \nL 200.09755 25.878889 \nL 205.078706 25.703012 \nL 211.127108 25.732653 \nL 217.214902 26.024124 \nL 223.301545 26.57702 \nL 229.346622 27.391322 \nL 234.323626 28.269829 \nL 239.221412 29.3305 \nL 244.017925 30.57384 \nL 248.691828 32.000496 \nL 253.222635 33.611184 \nL 257.590842 35.406659 \nL 261.778047 37.387689 \nL 265.767041 39.554966 \nL 269.541933 41.909119 \nL 272.397889 43.927291 \nL 275.100738 46.065494 \nL 277.644358 48.323765 \nL 280.023226 50.702014 \nL 282.2325 53.200021 \nL 284.267979 55.817405 \nL 286.126124 58.553589 \nL 287.804076 61.407821 \nL 289.299629 64.379136 \nL 290.611233 67.466312 \nL 291.738003 70.667915 \nL 292.67967 73.982216 \nL 293.43661 77.407224 \nL 294.009779 80.940654 \nL 294.400732 84.579915 \nL 294.611578 88.322104 \nL 294.644935 92.163991 \nL 294.441864 97.101078 \nL 293.973541 102.180628 \nL 293.24814 107.394075 \nL 292.274756 112.731994 \nL 291.06331 118.184074 \nL 289.624416 123.739154 \nL 287.613313 130.524219 \nL 285.311033 137.417861 \nL 282.738457 144.395999 \nL 279.916865 151.432934 \nL 276.867649 158.501446 \nL 273.050898 166.749705 \nL 268.986366 174.95436 \nL 264.706054 183.065875 \nL 260.240462 191.033162 \nL 255.618253 198.804069 \nL 250.86605 206.325896 \nL 246.008219 213.545949 \nL 241.777063 219.454878 \nL 237.497027 225.071725 \nL 233.179335 230.365352 \nL 228.833989 235.305893 \nL 225.198151 239.132849 \nL 221.553804 242.679527 \nL 217.905004 245.931572 \nL 214.255374 248.875709 \nL 210.608151 251.499911 \nL 206.966244 253.793473 \nL 204.058328 255.38397 \nL 201.156761 256.752797 \nL 198.26273 257.896491 \nL 195.377379 258.812272 \nL 192.501829 259.498005 \nL 189.637207 259.952229 \nL 186.78465 260.174174 \nL 183.945347 260.163769 \nL 181.120545 259.921615 \nL 178.311576 259.448997 \nL 175.519877 258.747917 \nL 172.747012 257.821013 \nL 169.994672 256.671589 \nL 167.264726 255.303603 \nL 164.559196 253.721634 \nL 161.880306 251.930827 \nL 159.230485 249.936911 \nL 155.963122 247.168527 \nL 152.750961 244.106015 \nL 149.600214 240.763835 \nL 146.51768 237.157522 \nL 143.510756 233.303485 \nL 140.587434 229.218904 \nL 137.756283 224.921637 \nL 135.026457 220.430051 \nL 131.898063 214.810082 \nL 128.947209 208.970228 \nL 126.192509 202.94364 \nL 123.653342 196.763416 \nL 121.349684 190.462307 \nL 119.624597 185.142252 \nL 118.089141 179.778745 \nL 116.755247 174.389431 \nL 115.634703 168.991377 \nL 114.739079 163.600968 \nL 114.07965 158.233876 \nL 113.667208 152.904979 \nL 113.512032 147.628322 \nL 113.623669 142.41708 \nL 113.911005 138.303467 \nL 114.37882 134.245454 \nL 115.030772 130.248528 \nL 115.870074 126.31779 \nL 116.899458 122.457964 \nL 118.121166 118.673398 \nL 119.536868 114.968072 \nL 121.147676 111.345601 \nL 122.954107 107.809253 \nL 124.956057 104.361955 \nL 127.152783 101.006297 \nL 129.542879 97.744577 \nL 132.124281 94.578784 \nL 134.894239 91.51063 \nL 137.849307 88.541582 \nL 140.985361 85.672857 \nL 144.297578 82.905465 \nL 147.780452 80.240216 \nL 151.427808 77.677752 \nL 156.207789 74.619951 \nL 161.21919 71.724193 \nL 166.445661 68.990914 \nL 171.869396 66.420369 \nL 177.471188 64.012736 \nL 183.230557 61.768094 \nL 189.125839 59.686576 \nL 195.134307 57.768316 \nL 202.460503 55.682318 \nL 209.873196 53.832566 \nL 217.328704 52.220195 \nL 224.782431 50.846763 \nL 232.189251 49.714289 \nL 239.503918 48.825288 \nL 246.681477 48.182745 \nL 253.677669 47.79006 \nL 260.449356 47.651006 \nL 266.9549 47.769682 \nL 272.144156 48.068549 \nL 277.099149 48.551873 \nL 281.799306 49.222179 \nL 286.225419 50.081912 \nL 290.359747 51.133408 \nL 294.18617 52.378794 \nL 297.015834 53.515979 \nL 299.63256 54.779298 \nL 302.030494 56.16945 \nL 304.20457 57.68694 \nL 306.150473 59.332113 \nL 307.864692 61.105111 \nL 309.344507 63.005828 \nL 310.587979 65.033972 \nL 311.593976 67.188939 \nL 312.362127 69.469916 \nL 312.892849 71.875769 \nL 313.187286 74.405108 \nL 313.247346 77.056215 \nL 313.075603 79.827056 \nL 312.675366 82.715308 \nL 312.050535 85.718305 \nL 311.205653 88.833054 \nL 309.84796 92.878554 \nL 308.165612 97.086249 \nL 306.170939 101.448106 \nL 303.877314 105.955295 \nL 300.750492 111.54217 \nL 297.239834 117.306331 \nL 293.372611 123.228148 \nL 289.176941 129.286491 \nL 283.905067 136.497008 \nL 278.27075 143.824704 \nL 272.3193 151.229482 \nL 265.186023 159.732569 \nL 257.759815 168.216402 \nL 250.100632 176.61393 \nL 242.26414 184.85689 \nL 234.301209 192.876582 \nL 227.266001 199.656964 \nL 220.196417 206.169179 \nL 213.116731 212.369545 \nL 207.056622 217.404082 \nL 201.016578 222.153518 \nL 195.006976 226.594143 \nL 189.036912 230.703893 \nL 184.097839 233.861295 \nL 179.195854 236.764217 \nL 174.334644 239.403111 \nL 169.517556 241.769547 \nL 164.747683 243.856307 \nL 160.027935 245.657396 \nL 155.361106 247.168102 \nL 150.749982 248.385061 \nL 146.197369 249.306261 \nL 142.599371 249.829774 \nL 139.042265 250.16386 \nL 135.527732 250.309387 \nL 132.057561 250.267774 \nL 128.633678 250.040985 \nL 125.258166 249.631562 \nL 121.933275 249.042535 \nL 118.661447 248.277471 \nL 115.445329 247.340437 \nL 111.507858 245.934264 \nL 107.667892 244.276374 \nL 103.932085 242.377668 \nL 100.307561 240.249967 \nL 96.802083 237.905981 \nL 93.423952 235.359178 \nL 90.182075 232.623703 \nL 87.085815 229.714236 \nL 84.145131 226.645923 \nL 81.370371 223.434239 \nL 78.772338 220.094902 \nL 76.362148 216.643752 \nL 74.151279 213.096631 \nL 72.151369 209.469311 \nL 70.374197 205.777358 \nL 68.831607 202.036042 \nL 67.535386 198.260263 \nL 66.497186 194.46444 \nL 65.728395 190.662448 \nL 65.314775 187.625339 \nL 65.086127 184.599248 \nL 65.047653 181.590335 \nL 65.204339 178.604454 \nL 65.560848 175.647122 \nL 66.121537 172.723513 \nL 66.890397 169.838448 \nL 67.87104 166.996384 \nL 69.066646 164.201415 \nL 70.479934 161.457267 \nL 72.113158 158.767299 \nL 73.968068 156.134506 \nL 76.045862 153.561521 \nL 78.347228 151.050628 \nL 80.872245 148.603767 \nL 83.620434 146.222548 \nL 86.590731 143.908265 \nL 89.781421 141.661912 \nL 94.076121 138.950552 \nL 98.705631 136.347237 \nL 103.662528 133.852204 \nL 108.937872 131.465175 \nL 114.521156 129.185444 \nL 120.40042 127.011941 \nL 126.562212 124.943311 \nL 134.308276 122.597186 \nL 142.411404 120.396921 \nL 150.840593 118.339547 \nL 159.56231 116.422216 \nL 170.059386 114.35896 \nL 180.845097 112.479652 \nL 191.855408 110.782251 \nL 203.023378 109.266125 \nL 215.890916 107.75673 \nL 228.767877 106.489762 \nL 241.546631 105.472635 \nL 254.119241 104.715777 \nL 264.867087 104.277413 \nL 275.305078 104.058918 \nL 285.365188 104.071949 \nL 294.982213 104.329029 \nL 302.825862 104.753498 \nL 310.262152 105.375115 \nL 317.25718 106.202014 \nL 322.726769 107.053533 \nL 327.851877 108.057208 \nL 332.617685 109.216887 \nL 337.010977 110.535966 \nL 340.249631 111.707937 \nL 343.237398 112.984943 \nL 345.969946 114.3679 \nL 348.443661 115.857418 \nL 350.655685 117.453794 \nL 352.603903 119.156973 \nL 354.286955 120.966548 \nL 355.704234 122.881728 \nL 356.855843 124.901341 \nL 357.742617 127.023808 \nL 358.366088 129.247138 \nL 358.728485 131.568914 \nL 358.832656 133.986301 \nL 358.682099 136.496033 \nL 358.280931 139.094416 \nL 357.633792 141.777334 \nL 356.745886 144.540246 \nL 355.622872 147.378198 \nL 354.270879 150.285834 \nL 352.268855 154.009578 \nL 349.932811 157.821142 \nL 347.277039 161.707607 \nL 344.316415 165.655243 \nL 341.066317 169.649582 \nL 337.542477 173.675486 \nL 332.974949 178.526062 \nL 328.063832 183.371337 \nL 322.836703 188.182421 \nL 317.320751 192.929863 \nL 311.542542 197.583926 \nL 305.527831 202.114859 \nL 299.301365 206.493143 \nL 292.886765 210.689795 \nL 287.413718 214.027896 \nL 281.837826 217.204511 \nL 276.1707 220.204524 \nL 270.423293 223.013543 \nL 264.605936 225.618019 \nL 258.728333 228.005319 \nL 252.799596 230.163856 \nL 246.828295 232.083099 \nL 240.822501 233.753759 \nL 234.789829 235.167769 \nL 228.737516 236.318362 \nL 222.672485 237.200172 \nL 216.60141 237.809187 \nL 210.530792 238.142874 \nL 204.46704 238.200127 \nL 198.416543 237.9813 \nL 192.385753 237.488207 \nL 186.381257 236.724109 \nL 180.409859 235.693681 \nL 174.478638 234.402962 \nL 168.595024 232.859374 \nL 162.766862 231.071578 \nL 157.002448 229.049447 \nL 151.310603 226.804 \nL 145.700673 224.347323 \nL 140.182612 221.692453 \nL 134.76695 218.853311 \nL 129.464823 215.844593 \nL 124.28799 212.681642 \nL 119.248788 209.380372 \nL 113.401607 205.259319 \nL 107.794518 200.991533 \nL 102.451773 196.606283 \nL 97.398468 192.132967 \nL 92.660306 187.600834 \nL 88.263412 183.038719 \nL 84.878981 179.234382 \nL 81.764953 175.444594 \nL 78.936307 171.684626 \nL 76.407734 167.96912 \nL 74.193526 164.312015 \nL 72.307403 160.726473 \nL 70.762423 157.224808 \nL 69.780316 154.49157 \nL 69.030264 151.824746 \nL 68.517653 149.229345 \nL 68.247501 146.70996 \nL 68.224257 144.270766 \nL 68.451864 141.91551 \nL 68.933719 139.647506 \nL 69.672601 137.469645 \nL 70.67068 135.384384 \nL 71.929502 133.393758 \nL 73.449922 131.499385 \nL 75.232126 129.702471 \nL 77.275597 128.003835 \nL 79.579135 126.403907 \nL 82.140831 124.902754 \nL 84.958044 123.500095 \nL 88.027435 122.195324 \nL 91.344946 120.987529 \nL 95.833468 119.612313 \nL 100.691454 118.383848 \nL 105.906498 117.298699 \nL 111.464628 116.35297 \nL 118.56536 115.396096 \nL 126.108318 114.62591 \nL 134.061335 114.034128 \nL 143.811744 113.557928 \nL 154.014138 113.29975 \nL 164.606085 113.246805 \nL 177.10422 113.422421 \nL 189.924532 113.834934 \nL 202.963137 114.471318 \nL 216.114732 115.321621 \nL 229.273807 116.37923 \nL 242.33586 117.640953 \nL 255.198576 119.106942 \nL 267.76296 120.780469 \nL 278.43756 122.419713 \nL 288.751196 124.227858 \nL 298.647498 126.211312 \nL 306.758143 128.056269 \nL 314.493408 130.039752 \nL 321.825612 132.166242 \nL 327.609817 134.050598 \nL 333.083831 136.039361 \nL 338.236207 138.134392 \nL 343.056897 140.337148 \nL 347.537415 142.648618 \nL 351.670709 145.069234 \nL 354.723579 147.084211 \nL 357.548544 149.168532 \nL 360.144072 151.321491 \nL 362.509226 153.542068 \nL 364.643708 155.828907 \nL 366.547735 158.180311 \nL 368.222143 160.594223 \nL 369.668269 163.068223 \nL 370.887999 165.599515 \nL 371.883723 168.184926 \nL 372.658288 170.820906 \nL 373.21501 173.503528 \nL 373.557616 176.228483 \nL 373.690245 178.991093 \nL 373.617333 181.786319 \nL 373.343729 184.60877 \nL 372.874508 187.452714 \nL 372.215033 190.312094 \nL 371.131647 193.898313 \nL 369.771045 197.485627 \nL 368.144875 201.060351 \nL 366.265029 204.608229 \nL 364.14357 208.114534 \nL 361.792617 211.564143 \nL 359.224221 214.94164 \nL 356.450318 218.231389 \nL 353.482617 221.417688 \nL 350.332573 224.48481 \nL 347.011255 227.417168 \nL 343.529342 230.199385 \nL 339.897055 232.81645 \nL 336.124112 235.253732 \nL 332.219718 237.497205 \nL 328.192528 239.533469 \nL 324.050636 241.349896 \nL 319.801589 242.934681 \nL 315.452396 244.276976 \nL 311.009493 245.366969 \nL 306.478861 246.195919 \nL 302.794883 246.665995 \nL 299.060866 246.960832 \nL 295.279251 247.077622 \nL 291.45233 247.014108 \nL 287.582277 246.768572 \nL 283.671143 246.339843 \nL 278.727451 245.545432 \nL 273.726363 244.463914 \nL 268.671509 243.09669 \nL 263.566499 241.446495 \nL 258.415014 239.517431 \nL 253.220857 237.314917 \nL 247.988054 234.845603 \nL 242.720916 232.117353 \nL 237.424124 229.139228 \nL 232.102784 225.921344 \nL 225.692704 221.759199 \nL 219.266157 217.289022 \nL 212.835222 212.533661 \nL 206.413412 207.517536 \nL 200.015763 202.266391 \nL 192.604659 195.878905 \nL 185.278392 189.252311 \nL 178.069253 182.431906 \nL 171.012529 175.463669 \nL 164.146331 168.393778 \nL 157.51135 161.268146 \nL 151.150522 154.131987 \nL 145.108588 147.029408 \nL 139.431583 140.003029 \nL 134.166226 133.093626 \nL 130.016154 127.293716 \nL 126.231943 121.631044 \nL 122.841944 116.127069 \nL 120.337776 111.67607 \nL 118.141324 107.359794 \nL 116.266749 103.188107 \nL 114.727211 99.17002 \nL 113.744933 96.071659 \nL 112.990388 93.080639 \nL 112.468584 90.200389 \nL 112.183912 87.433984 \nL 112.140156 84.784157 \nL 112.340403 82.253295 \nL 112.787042 79.843435 \nL 113.48171 77.556285 \nL 114.425343 75.393232 \nL 115.61801 73.35533 \nL 117.059071 71.443357 \nL 118.747039 69.657793 \nL 120.67965 67.998831 \nL 122.853801 66.466428 \nL 125.265603 65.0603 \nL 127.910347 63.779942 \nL 130.782555 62.624656 \nL 133.875974 61.593537 \nL 138.043082 60.477658 \nL 142.529535 59.551817 \nL 147.318359 58.813445 \nL 152.390993 58.259753 \nL 157.727386 57.887817 \nL 163.306143 57.694627 \nL 170.288646 57.69453 \nL 177.54642 57.942422 \nL 185.036502 58.43346 \nL 192.714461 59.163091 \nL 200.534813 60.127207 \nL 208.45141 61.322177 \nL 216.417861 62.744927 \nL 224.387951 64.392916 \nL 232.316022 66.264108 \nL 240.157386 68.357014 \nL 247.86867 70.670598 \nL 255.408193 73.204179 \nL 261.531243 75.483252 \nL 267.485685 77.914654 \nL 273.251031 80.49827 \nL 278.808098 83.233896 \nL 284.139135 86.121236 \nL 289.227878 89.159825 \nL 294.059647 92.34894 \nL 297.731197 95.007919 \nL 301.223949 97.761868 \nL 304.532667 100.609897 \nL 307.652783 103.550912 \nL 310.580461 106.583585 \nL 313.312517 109.706344 \nL 315.846476 112.917351 \nL 318.180542 116.214479 \nL 320.313583 119.595294 \nL 322.24512 123.057049 \nL 323.975289 126.59666 \nL 325.504868 130.210692 \nL 326.835195 133.895352 \nL 327.968179 137.646487 \nL 328.906278 141.459566 \nL 329.652408 145.329687 \nL 330.209999 149.251567 \nL 330.582892 153.219548 \nL 330.775307 157.227599 \nL 330.76911 162.284227 \nL 330.497827 167.380155 \nL 329.971815 172.501257 \nL 329.201972 177.632609 \nL 328.199651 182.758549 \nL 326.976502 187.862723 \nL 325.544371 192.928176 \nL 323.915228 197.93742 \nL 322.101046 202.872532 \nL 320.113679 207.715242 \nL 317.964802 212.447051 \nL 315.66578 217.049313 \nL 313.22768 221.503377 \nL 310.661148 225.790703 \nL 307.976358 229.892982 \nL 305.182967 233.792246 \nL 302.290104 237.470992 \nL 299.306298 240.912374 \nL 296.239491 244.100205 \nL 293.097028 247.019218 \nL 289.885644 249.655066 \nL 286.611489 251.994483 \nL 283.950721 253.644429 \nL 281.255933 255.09132 \nL 278.529491 256.330109 \nL 275.773567 257.35633 \nL 272.990129 258.166116 \nL 270.180965 258.756206 \nL 267.347722 259.123997 \nL 264.491864 259.26755 \nL 261.614756 259.185554 \nL 258.717649 258.877389 \nL 255.801704 258.343091 \nL 252.868018 257.583367 \nL 249.917647 256.599591 \nL 246.951612 255.393791 \nL 243.970945 253.968641 \nL 240.976686 252.327444 \nL 237.216423 249.978135 \nL 233.438912 247.306368 \nL 229.646656 244.322442 \nL 225.842442 241.037941 \nL 222.029405 237.46566 \nL 218.211087 233.619487 \nL 213.6278 228.663528 \nL 209.050575 223.362011 \nL 204.488453 217.743831 \nL 199.951711 211.83917 \nL 194.706446 204.629935 \nL 189.53225 197.123831 \nL 184.452345 189.372192 \nL 179.492435 181.426445 \nL 174.680563 173.337607 \nL 170.046969 165.155784 \nL 165.623784 156.929717 \nL 161.444716 148.706371 \nL 157.544627 140.530591 \nL 153.959091 132.444799 \nL 151.163231 125.615949 \nL 148.647011 118.905817 \nL 146.432209 112.336134 \nL 144.539792 105.926948 \nL 143.223431 100.721853 \nL 142.155567 95.650684 \nL 141.346152 90.722311 \nL 140.804265 85.944771 \nL 140.537944 81.32528 \nL 140.527968 77.747828 \nL 140.701752 74.278585 \nL 141.061743 70.920164 \nL 141.609793 67.674876 \nL 142.347193 64.544758 \nL 143.274602 61.531564 \nL 144.392053 58.636754 \nL 145.698924 55.861586 \nL 147.193945 53.207026 \nL 148.875167 50.673871 \nL 150.739961 48.262686 \nL 152.785033 45.973836 \nL 155.006398 43.807551 \nL 157.399415 41.763874 \nL 159.958768 39.842718 \nL 162.678498 38.043914 \nL 165.552016 36.367144 \nL 169.349155 34.442215 \nL 173.359952 32.706517 \nL 177.567707 31.159086 \nL 181.954482 29.798884 \nL 186.501184 28.624877 \nL 191.187684 27.636079 \nL 195.992966 26.831545 \nL 200.89523 26.210469 \nL 205.872059 25.772185 \nL 211.910406 25.486788 \nL 217.982951 25.463276 \nL 224.049211 25.701507 \nL 230.068784 26.201693 \nL 235.020593 26.819032 \nL 239.889547 27.619236 \nL 244.653519 28.602976 \nL 249.291072 29.771077 \nL 253.781606 31.124424 \nL 258.105488 32.663965 \nL 262.244176 34.390674 \nL 266.180306 36.305472 \nL 269.897831 38.409208 \nL 272.704542 40.228735 \nL 275.355088 42.169923 \nL 277.84325 44.232976 \nL 280.163453 46.417965 \nL 282.310757 48.724827 \nL 284.280922 51.153378 \nL 286.07034 53.703253 \nL 287.676101 56.373896 \nL 289.095969 59.164543 \nL 290.328362 62.074231 \nL 291.372376 65.101745 \nL 292.227742 68.245634 \nL 292.894837 71.504179 \nL 293.374652 74.875379 \nL 293.668768 78.356945 \nL 293.779336 81.94629 \nL 293.70906 85.640511 \nL 293.371845 90.400831 \nL 292.764444 95.312932 \nL 291.895249 100.368992 \nL 290.773635 105.56033 \nL 289.40982 110.877434 \nL 287.814738 116.309944 \nL 285.611678 122.965471 \nL 283.113157 129.750089 \nL 280.34077 136.641192 \nL 277.316564 143.614554 \nL 273.499659 151.819658 \nL 269.405228 160.058239 \nL 265.067577 168.284546 \nL 260.519849 176.450764 \nL 255.793598 184.50738 \nL 250.918496 192.40361 \nL 245.92205 200.087875 \nL 240.829437 207.508322 \nL 235.663394 214.613368 \nL 231.192345 220.413911 \nL 226.693614 225.914361 \nL 222.177259 231.084711 \nL 217.652128 235.89632 \nL 213.880089 239.612472 \nL 210.111268 243.046167 \nL 206.349153 246.183884 \nL 202.59684 249.013231 \nL 198.8571 251.523114 \nL 195.132428 253.70371 \nL 192.165086 255.205428 \nL 189.209967 256.487415 \nL 186.268137 257.546695 \nL 183.34065 258.380949 \nL 180.428573 258.988477 \nL 177.533 259.368285 \nL 174.655072 259.520039 \nL 171.79601 259.444082 \nL 168.957119 259.141434 \nL 166.139831 258.613787 \nL 163.345691 257.863477 \nL 160.576419 256.893525 \nL 157.833878 255.707544 \nL 155.120127 254.309785 \nL 152.437413 252.705109 \nL 149.788199 250.89892 \nL 146.527896 248.366915 \nL 143.329894 245.542102 \nL 140.200523 242.438383 \nL 137.146704 239.070664 \nL 134.175967 235.454795 \nL 131.29643 231.607408 \nL 128.516822 227.545826 \nL 125.846421 223.287918 \nL 123.29505 218.851996 \nL 120.873037 214.256642 \nL 118.591154 209.520635 \nL 116.460559 204.662795 \nL 114.492744 199.701881 \nL 112.69945 194.656469 \nL 111.092569 189.544856 \nL 109.684094 184.384943 \nL 108.48595 179.194153 \nL 107.509972 173.989338 \nL 106.76774 168.786712 \nL 106.270484 163.601773 \nL 106.028951 158.449255 \nL 106.053327 153.343061 \nL 106.270656 149.30026 \nL 106.668715 145.301746 \nL 107.251597 141.353422 \nL 108.023006 137.460807 \nL 108.986168 133.629047 \nL 110.143859 129.86291 \nL 111.498311 126.166783 \nL 113.051226 122.544689 \nL 114.803759 119.000284 \nL 116.756448 115.536871 \nL 118.909178 112.15741 \nL 121.26124 108.864527 \nL 123.811245 105.660543 \nL 126.557147 102.547477 \nL 129.496208 99.527065 \nL 132.62499 96.60079 \nL 135.939374 93.769884 \nL 139.434544 91.035365 \nL 143.104991 88.39806 \nL 147.930031 85.239112 \nL 153.005648 82.234007 \nL 158.316665 79.383384 \nL 163.846377 76.687671 \nL 169.576602 74.147094 \nL 175.487757 71.76183 \nL 181.558973 69.532013 \nL 187.768192 67.457811 \nL 195.368777 65.174487 \nL 203.092967 63.116225 \nL 210.897386 61.284061 \nL 218.737385 59.679456 \nL 226.567424 58.304359 \nL 234.341471 57.161258 \nL 242.013394 56.253155 \nL 249.537379 55.583593 \nL 256.868345 55.15653 \nL 263.962351 54.976358 \nL 270.777007 55.047763 \nL 276.213216 55.302961 \nL 281.405061 55.739128 \nL 286.331579 56.359124 \nL 290.973185 57.165722 \nL 295.311796 58.161541 \nL 299.330949 59.34901 \nL 302.306271 60.438436 \nL 305.060919 61.652844 \nL 307.588921 62.993032 \nL 309.885062 64.4596 \nL 311.94494 66.052976 \nL 313.764931 67.773335 \nL 315.342222 69.620634 \nL 316.674836 71.594579 \nL 317.761548 73.694596 \nL 318.601948 75.919817 \nL 319.196423 78.269099 \nL 319.546118 80.740973 \nL 319.652919 83.333648 \nL 319.519432 86.045005 \nL 319.148951 88.872591 \nL 318.545455 91.813614 \nL 317.71355 94.864929 \nL 316.658383 98.02304 \nL 315.034237 102.114993 \nL 313.08252 106.359546 \nL 310.816598 110.747607 \nL 308.250803 115.269272 \nL 304.797371 120.856483 \nL 300.961332 126.600637 \nL 296.771059 132.480251 \nL 292.255565 138.472422 \nL 286.615565 145.573177 \nL 280.619245 152.753681 \nL 274.312315 159.97161 \nL 267.739167 167.183112 \nL 260.942358 174.343166 \nL 253.962193 181.405997 \nL 246.836365 188.325484 \nL 239.599728 195.055619 \nL 232.284137 201.550968 \nL 224.918374 207.767129 \nL 218.584526 212.840538 \nL 212.247259 217.651509 \nL 205.919534 222.175547 \nL 199.612895 226.389698 \nL 193.337598 230.272773 \nL 188.138718 233.241821 \nL 182.972676 235.957522 \nL 177.843795 238.410993 \nL 172.756064 240.594485 \nL 167.713201 242.50149 \nL 162.718739 244.126746 \nL 157.776105 245.46634 \nL 152.888689 246.51766 \nL 148.059905 247.279464 \nL 144.241474 247.680491 \nL 140.464718 247.89699 \nL 136.731627 247.930199 \nL 133.044304 247.781917 \nL 129.404979 247.4545 \nL 125.816048 246.950825 \nL 121.404656 246.07857 \nL 117.081423 244.943971 \nL 112.852236 243.555909 \nL 108.723505 241.924347 \nL 104.70218 240.060258 \nL 100.795785 237.975579 \nL 97.012369 235.683036 \nL 93.360599 233.196152 \nL 89.849633 230.529061 \nL 86.489167 227.696428 \nL 83.289399 224.713374 \nL 80.260963 221.595331 \nL 77.414926 218.357925 \nL 74.762699 215.016906 \nL 72.315909 211.588019 \nL 70.086472 208.086882 \nL 68.08638 204.528921 \nL 66.32765 200.929245 \nL 64.822264 197.302563 \nL 63.582011 193.663103 \nL 62.618483 190.024506 \nL 62.054409 187.123023 \nL 61.680098 184.236777 \nL 61.500843 181.3718 \nL 61.521652 178.533796 \nL 61.747259 175.728129 \nL 62.182054 172.959811 \nL 62.830072 170.233499 \nL 63.69494 167.553472 \nL 64.779857 164.923639 \nL 66.087591 162.347533 \nL 67.620383 159.82831 \nL 69.380039 157.368754 \nL 71.367772 154.97128 \nL 73.584278 152.637943 \nL 76.029672 150.370446 \nL 78.703497 148.170152 \nL 81.604712 146.0381 \nL 84.731637 143.975018 \nL 88.954181 141.493795 \nL 93.520005 139.121262 \nL 98.421805 136.857081 \nL 103.650763 134.700385 \nL 109.19659 132.649849 \nL 115.047476 130.703775 \nL 122.452523 128.503545 \nL 130.252296 126.446997 \nL 138.418571 124.530039 \nL 146.920506 122.748525 \nL 157.219137 120.835962 \nL 167.872573 119.096565 \nL 178.820428 117.525546 \nL 191.611082 115.931849 \nL 204.603975 114.55083 \nL 217.696463 113.382778 \nL 230.783556 112.431259 \nL 243.759121 111.703182 \nL 256.517124 111.208712 \nL 268.952894 110.961015 \nL 279.489565 110.959071 \nL 289.635421 111.170021 \nL 299.32749 111.60664 \nL 307.228673 112.170544 \nL 314.717791 112.918396 \nL 321.762384 113.858433 \nL 327.271819 114.794281 \nL 332.436315 115.873279 \nL 337.241809 117.099269 \nL 341.675828 118.475634 \nL 345.727555 120.005203 \nL 348.687504 121.340668 \nL 351.393045 122.776412 \nL 353.841035 124.312927 \nL 356.029015 125.950371 \nL 357.955315 127.68855 \nL 359.618906 129.526905 \nL 361.019538 131.464477 \nL 362.157633 133.49992 \nL 363.034265 135.631473 \nL 363.65123 137.856953 \nL 364.01093 140.173756 \nL 364.116404 142.578845 \nL 363.971267 145.068756 \nL 363.579725 147.639593 \nL 362.946467 150.287035 \nL 362.076695 153.006343 \nL 360.976068 155.792367 \nL 359.650657 158.639559 \nL 357.687633 162.275492 \nL 355.396751 165.98531 \nL 352.791974 169.755776 \nL 349.887831 173.572876 \nL 346.699234 177.421887 \nL 343.241411 181.28747 \nL 338.758274 185.92564 \nL 333.936235 190.536496 \nL 328.801752 195.091074 \nL 323.380882 199.560006 \nL 317.698995 203.913733 \nL 311.780646 208.12285 \nL 306.685065 211.499022 \nL 301.454689 214.73816 \nL 296.101968 217.824269 \nL 290.638771 220.741895 \nL 285.076336 223.47626 \nL 279.425286 226.013334 \nL 273.695647 228.339981 \nL 267.896852 230.444001 \nL 262.037783 232.314271 \nL 256.126797 233.940812 \nL 250.17178 235.31482 \nL 244.180207 236.428803 \nL 238.159202 237.276588 \nL 232.115591 237.853386 \nL 226.055993 238.155821 \nL 219.98688 238.181955 \nL 213.914662 237.931335 \nL 207.845759 237.404954 \nL 201.786683 236.605255 \nL 195.744113 235.536118 \nL 189.724965 234.202829 \nL 183.736476 232.612057 \nL 177.786256 230.771781 \nL 171.88235 228.691238 \nL 166.033311 226.380846 \nL 160.248208 223.852136 \nL 154.536731 221.11767 \nL 148.909148 218.190948 \nL 143.376349 215.086304 \nL 137.949888 211.818824 \nL 131.595686 207.705049 \nL 125.434396 203.407548 \nL 119.489441 198.955251 \nL 113.785385 194.377604 \nL 108.347719 189.704319 \nL 103.202785 184.965077 \nL 98.377477 180.189268 \nL 93.899027 175.405726 \nL 89.794832 170.642482 \nL 86.680107 166.70813 \nL 83.859555 162.821611 \nL 81.348247 158.997202 \nL 79.160736 155.248425 \nL 77.310903 151.587975 \nL 76.083032 148.731177 \nL 75.086005 145.944102 \nL 74.325732 143.231975 \nL 73.807621 140.599606 \nL 73.536623 138.051393 \nL 73.517129 135.591309 \nL 73.75298 133.222901 \nL 74.247423 130.949278 \nL 75.003043 128.773137 \nL 76.021783 126.696733 \nL 77.304912 124.721911 \nL 78.852979 122.850106 \nL 80.665859 121.082346 \nL 82.74267 119.41928 \nL 85.081766 117.861182 \nL 87.680816 116.407965 \nL 90.536732 115.059216 \nL 93.64566 113.814202 \nL 97.003051 112.671907 \nL 101.541046 111.386489 \nL 106.447087 110.256481 \nL 111.707648 109.278333 \nL 117.307579 108.44806 \nL 124.451924 107.640829 \nL 132.029457 107.032381 \nL 140.005981 106.614488 \nL 148.344846 106.378803 \nL 158.479565 106.32318 \nL 168.989716 106.491843 \nL 179.807663 106.873162 \nL 192.458387 107.556079 \nL 205.313672 108.490098 \nL 218.266135 109.665009 \nL 231.208631 111.073728 \nL 244.035544 112.712343 \nL 255.083338 114.333986 \nL 265.897383 116.132186 \nL 276.414097 118.109588 \nL 286.573341 120.270035 \nL 294.954018 122.271077 \nL 302.9978 124.413305 \nL 310.674371 126.700072 \nL 317.956113 129.134629 \nL 323.70468 131.278465 \nL 329.149046 133.528445 \nL 334.277927 135.885698 \nL 339.081546 138.35096 \nL 343.551637 140.924491 \nL 347.681467 143.606006 \nL 350.73676 145.828385 \nL 353.56894 148.118543 \nL 356.176633 150.475418 \nL 358.559097 152.897635 \nL 360.716149 155.383491 \nL 362.648212 157.930946 \nL 364.356223 160.537606 \nL 365.841702 163.200722 \nL 367.106687 165.917176 \nL 368.153679 168.683487 \nL 368.985663 171.495797 \nL 369.606047 174.349879 \nL 370.018649 177.241144 \nL 370.227677 180.164643 \nL 370.237659 183.115069 \nL 370.053453 186.086781 \nL 369.680194 189.073808 \nL 368.955959 192.819532 \nL 367.95565 196.566441 \nL 366.690586 200.300969 \nL 365.172394 204.00896 \nL 363.412864 207.675754 \nL 361.423897 211.28627 \nL 359.217372 214.825102 \nL 356.805078 218.276598 \nL 354.198608 221.624972 \nL 351.409304 224.854399 \nL 348.448177 227.949138 \nL 345.32586 230.893629 \nL 342.052529 233.672604 \nL 338.637867 236.271196 \nL 335.091069 238.675056 \nL 331.420765 240.870433 \nL 327.635005 242.844325 \nL 323.74129 244.58453 \nL 319.746548 246.079739 \nL 315.657125 247.319679 \nL 312.321344 248.121582 \nL 308.931476 248.749983 \nL 305.490055 249.201187 \nL 301.999429 249.471989 \nL 298.461806 249.559724 \nL 294.879208 249.462257 \nL 291.253541 249.178011 \nL 287.586582 248.705943 \nL 283.880011 248.045599 \nL 279.193551 246.955598 \nL 274.45073 245.573009 \nL 269.654531 243.900622 \nL 264.807938 241.942546 \nL 259.914023 239.7042 \nL 254.976031 237.192299 \nL 249.997439 234.414731 \nL 244.982042 231.38054 \nL 239.934032 228.099908 \nL 233.839939 223.853629 \nL 227.714613 219.289695 \nL 221.568311 214.430969 \nL 215.412651 209.301848 \nL 208.236782 203.01051 \nL 201.089567 196.428905 \nL 193.997531 189.60129 \nL 186.990279 182.572995 \nL 179.127851 174.353849 \nL 171.47236 166.00129 \nL 164.081868 157.583413 \nL 157.018421 149.166897 \nL 151.157428 141.854355 \nL 145.641928 134.633779 \nL 140.517787 127.544679 \nL 136.471971 121.601267 \nL 132.775982 115.803887 \nL 129.457688 110.173126 \nL 127.000329 105.621891 \nL 124.838652 101.2098 \nL 122.98659 96.946242 \nL 121.457108 92.839801 \nL 120.26204 88.898246 \nL 119.553926 85.868416 \nL 119.071442 82.95175 \nL 118.818773 80.151086 \nL 118.799473 77.468931 \nL 119.016413 74.907473 \nL 119.471788 72.46857 \nL 120.167061 70.153772 \nL 121.102908 67.964338 \nL 122.279271 65.901214 \nL 123.695303 63.9651 \nL 125.349377 62.156395 \nL 127.239061 60.475285 \nL 129.361115 58.921699 \nL 131.711513 57.495362 \nL 134.285455 56.195796 \nL 137.077348 55.022355 \nL 140.080854 53.974215 \nL 144.121953 52.83881 \nL 148.467184 51.89562 \nL 153.099535 51.142299 \nL 158.000402 50.576386 \nL 163.149766 50.195266 \nL 168.526309 49.996338 \nL 175.246278 49.994407 \nL 182.220117 50.246648 \nL 189.405257 50.748897 \nL 196.757776 51.497329 \nL 204.232782 52.488527 \nL 211.784842 53.71953 \nL 219.368392 55.187871 \nL 226.938142 56.891598 \nL 234.449475 58.829209 \nL 241.858844 60.999647 \nL 247.924998 62.985681 \nL 253.867626 65.13267 \nL 259.664291 67.440453 \nL 265.29367 69.908935 \nL 270.735663 72.537981 \nL 275.971505 75.327407 \nL 280.983861 78.276866 \nL 285.756884 81.385845 \nL 290.276311 84.65356 \nL 293.700702 87.381265 \nL 296.948931 90.209081 \nL 300.015972 93.136055 \nL 302.897476 96.161019 \nL 305.589801 99.282586 \nL 308.089985 102.499106 \nL 310.395758 105.808661 \nL 312.505527 109.209049 \nL 314.418335 112.697749 \nL 316.133915 116.271922 \nL 317.652598 119.928388 \nL 318.975321 123.663622 \nL 320.103595 127.473737 \nL 321.03951 131.354481 \nL 321.785651 135.301223 \nL 322.345117 139.308958 \nL 322.721441 143.372297 \nL 322.918601 147.485472 \nL 322.919756 152.687629 \nL 322.657036 157.945219 \nL 322.140446 163.244549 \nL 321.380573 168.571081 \nL 320.388507 173.909477 \nL 319.175763 179.243652 \nL 317.754071 184.556835 \nL 316.135321 189.831643 \nL 314.331486 195.050168 \nL 312.354467 200.194057 \nL 309.769978 206.241846 \nL 306.972893 212.122459 \nL 303.982434 217.802926 \nL 300.816978 223.250352 \nL 298.058019 227.588378 \nL 295.199165 231.72349 \nL 292.24938 235.637694 \nL 289.217033 239.313579 \nL 286.109923 242.734425 \nL 282.935246 245.884362 \nL 279.699588 248.748486 \nL 276.408969 251.312974 \nL 273.740575 253.140276 \nL 271.043048 254.761795 \nL 268.318716 256.1722 \nL 265.569704 257.366745 \nL 262.797956 258.341275 \nL 260.00526 259.092311 \nL 257.19324 259.616975 \nL 254.363388 259.91306 \nL 251.517079 259.979063 \nL 248.655598 259.814105 \nL 245.780143 259.418055 \nL 242.89187 258.791452 \nL 239.99189 257.935492 \nL 237.081308 256.85208 \nL 234.161236 255.543764 \nL 231.232817 254.013744 \nL 228.297249 252.26586 \nL 224.619679 249.781492 \nL 220.935622 246.973681 \nL 217.248063 243.853792 \nL 213.56034 240.434416 \nL 209.876192 236.729343 \nL 206.199812 232.753396 \nL 201.805057 227.646986 \nL 197.437418 222.202123 \nL 193.107234 216.449083 \nL 188.826089 210.419267 \nL 183.910658 203.077708 \nL 179.102231 195.455438 \nL 174.425835 187.604948 \nL 169.908746 179.578557 \nL 165.580285 171.427858 \nL 161.471562 163.203223 \nL 157.615149 154.953352 \nL 154.044689 146.724883 \nL 151.237829 139.722548 \nL 148.687823 132.794777 \nL 146.416076 125.966301 \nL 144.443498 119.260205 \nL 143.042781 113.780754 \nL 141.874908 108.412605 \nL 140.95034 103.166335 \nL 140.278774 98.051666 \nL 139.869042 93.077469 \nL 139.728992 88.25174 \nL 139.815704 84.502905 \nL 140.082283 80.856993 \nL 140.531118 77.316974 \nL 141.164067 73.88551 \nL 141.982406 70.564948 \nL 142.98682 67.357324 \nL 144.177366 64.264436 \nL 145.553478 61.287763 \nL 147.113951 58.428571 \nL 148.856902 55.687879 \nL 150.779801 53.066484 \nL 152.879439 50.564979 \nL 155.151941 48.183799 \nL 157.592774 45.923172 \nL 160.19674 43.783197 \nL 162.958008 41.763857 \nL 165.870103 39.865017 \nL 169.711489 37.660555 \nL 173.76235 35.643384 \nL 178.00622 33.812778 \nL 182.425372 32.16795 \nL 187.000918 30.708068 \nL 191.71292 29.432324 \nL 196.540523 28.339967 \nL 201.462061 27.430332 \nL 206.455222 26.702915 \nL 212.509386 26.070024 \nL 218.593683 25.698682 \nL 224.667622 25.58894 \nL 230.690724 25.741287 \nL 235.642202 26.069041 \nL 240.50772 26.580058 \nL 245.264999 27.275178 \nL 249.892424 28.155367 \nL 254.369199 29.22168 \nL 258.675456 30.475266 \nL 262.792408 31.917278 \nL 266.702442 33.548857 \nL 270.389239 35.371094 \nL 273.167852 36.966807 \nL 275.78703 38.68559 \nL 278.240422 40.527778 \nL 280.522306 42.493612 \nL 282.627638 44.583197 \nL 284.552034 46.796525 \nL 286.291796 49.1334 \nL 287.843911 51.593495 \nL 289.20604 54.176261 \nL 290.376531 56.880963 \nL 291.354425 59.706644 \nL 292.1394 62.6521 \nL 292.731801 65.715897 \nL 293.132609 68.896316 \nL 293.343404 72.191373 \nL 293.366374 75.598803 \nL 293.204252 79.116031 \nL 292.746361 83.662576 \nL 292.011917 88.36989 \nL 291.009538 93.230887 \nL 289.748841 98.237687 \nL 288.240346 103.381598 \nL 286.119007 109.72185 \nL 283.677883 116.227844 \nL 280.938744 122.879964 \nL 277.924119 129.656928 \nL 274.08955 137.6906 \nL 269.947995 145.824128 \nL 265.535906 154.015989 \nL 260.888887 162.222274 \nL 255.334318 171.559433 \nL 249.566214 180.783798 \nL 243.629577 189.821614 \nL 238.329123 197.517609 \nL 232.955915 204.962555 \nL 227.532167 212.106018 \nL 222.077507 218.898356 \nL 217.390508 224.404293 \nL 212.702759 229.587554 \nL 208.022405 234.420257 \nL 203.356478 238.876136 \nL 199.483614 242.283867 \nL 195.628016 245.40001 \nL 191.792369 248.212726 \nL 187.979055 250.711415 \nL 184.190237 252.886795 \nL 181.17817 254.388974 \nL 178.184037 255.675778 \nL 175.208799 256.744446 \nL 172.253423 257.592861 \nL 169.318904 258.219525 \nL 166.40629 258.623617 \nL 163.516703 258.804931 \nL 160.651349 258.763955 \nL 157.811554 258.501805 \nL 154.998772 258.020287 \nL 152.214607 257.321793 \nL 149.460833 256.409386 \nL 146.739411 255.286742 \nL 144.052489 253.958102 \nL 141.402428 252.428303 \nL 138.791808 250.702728 \nL 135.588318 248.279482 \nL 132.456906 245.572185 \nL 129.404196 242.594529 \nL 126.437421 239.361214 \nL 123.564407 235.887809 \nL 120.793585 232.190644 \nL 118.133972 228.286686 \nL 115.595154 224.193431 \nL 113.187182 219.928767 \nL 110.920631 215.510844 \nL 108.806455 210.957962 \nL 106.855996 206.288463 \nL 105.080836 201.520584 \nL 103.492786 196.672374 \nL 102.103736 191.761567 \nL 100.925636 186.805508 \nL 99.970306 181.821043 \nL 99.249364 176.824436 \nL 98.774175 171.8313 \nL 98.555668 166.856542 \nL 98.604192 161.914278 \nL 98.841861 157.992834 \nL 99.261324 154.107136 \nL 99.866855 150.263238 \nL 100.662333 146.46683 \nL 101.651242 142.723224 \nL 102.83658 139.037363 \nL 104.220851 135.413812 \nL 105.806065 131.856768 \nL 107.593631 128.370064 \nL 109.584416 124.957173 \nL 111.778673 121.621217 \nL 114.176023 118.36499 \nL 116.775427 115.190962 \nL 119.575238 112.101287 \nL 122.573084 109.097842 \nL 125.765929 106.18223 \nL 129.15004 103.355805 \nL 132.720998 100.619683 \nL 136.473703 97.974771 \nL 141.411261 94.797988 \nL 146.61088 91.765921 \nL 152.058128 88.879317 \nL 157.737002 86.13866 \nL 163.629986 83.544262 \nL 169.718138 81.096317 \nL 175.981154 78.794976 \nL 182.397475 76.640398 \nL 190.267381 74.248989 \nL 198.284118 72.069925 \nL 206.404696 70.104224 \nL 214.584637 68.353383 \nL 222.778349 66.819394 \nL 230.939494 65.504836 \nL 239.021389 64.412868 \nL 246.977403 63.547203 \nL 254.761366 62.912107 \nL 262.327981 62.51232 \nL 269.633213 62.352968 \nL 276.634719 62.439463 \nL 283.292195 62.777392 \nL 288.549869 63.255111 \nL 293.521801 63.914471 \nL 298.188961 64.758538 \nL 302.53393 65.790162 \nL 306.540917 67.011911 \nL 309.493692 68.127719 \nL 312.214846 69.367623 \nL 314.698834 70.732403 \nL 316.940894 72.222626 \nL 318.937076 73.838628 \nL 320.684236 75.580506 \nL 322.18004 77.448085 \nL 323.423003 79.440911 \nL 324.412405 81.558228 \nL 325.148336 83.798964 \nL 325.631643 86.161725 \nL 325.863973 88.644779 \nL 325.847691 91.246049 \nL 325.585886 93.963109 \nL 325.082319 96.79317 \nL 324.341402 99.733086 \nL 323.368156 102.779349 \nL 321.833455 106.730796 \nL 319.956594 110.833974 \nL 317.750789 115.079669 \nL 315.230288 119.457801 \nL 312.410171 123.957476 \nL 308.652869 129.501012 \nL 304.515317 135.18108 \nL 300.026703 140.974596 \nL 295.216652 146.857141 \nL 289.238351 153.798409 \nL 282.909863 160.783523 \nL 276.276998 167.768486 \nL 269.384007 174.70813 \nL 262.273091 181.556535 \nL 254.984009 188.26747 \nL 247.553819 194.794873 \nL 240.016671 201.093308 \nL 233.494802 206.276109 \nL 226.935099 211.231156 \nL 220.353784 215.932585 \nL 213.76553 220.355866 \nL 207.183547 224.47804 \nL 201.711948 227.667815 \nL 196.259176 230.622499 \nL 190.830914 233.331868 \nL 185.432391 235.786817 \nL 180.068437 237.979387 \nL 174.743559 239.902828 \nL 169.462038 241.551658 \nL 164.22796 242.921716 \nL 159.045353 244.010159 \nL 153.918199 244.815481 \nL 148.850557 245.33755 \nL 143.846599 245.577614 \nL 138.910717 245.538258 \nL 134.047557 245.223407 \nL 129.262083 244.638303 \nL 124.559651 243.789437 \nL 119.946028 242.684522 \nL 115.427447 241.332424 \nL 111.010636 239.743069 \nL 106.702867 237.927421 \nL 102.511937 235.897373 \nL 98.446181 233.665635 \nL 94.514518 231.245665 \nL 90.726357 228.651555 \nL 87.091646 225.897921 \nL 83.620812 222.999825 \nL 80.32475 219.97263 \nL 77.214747 216.831916 \nL 74.302407 213.593367 \nL 71.599598 210.27265 \nL 69.118428 206.885328 \nL 66.871086 203.446744 \nL 64.869827 199.971926 \nL 63.126818 196.4755 \nL 61.654041 192.9716 \nL 60.463261 189.473775 \nL 59.721315 186.688594 \nL 59.172723 183.921857 \nL 58.822868 181.179538 \nL 58.67685 178.467273 \nL 58.739494 175.790356 \nL 59.015283 173.153721 \nL 59.50832 170.561933 \nL 60.22231 168.019184 \nL 61.160547 165.529287 \nL 62.325887 163.095664 \nL 63.720654 160.721357 \nL 65.34672 158.409023 \nL 67.205403 156.160943 \nL 69.297489 153.979027 \nL 71.623174 151.86482 \nL 74.182081 149.819521 \nL 76.973259 147.843988 \nL 79.995156 145.938761 \nL 84.0936 143.656423 \nL 88.543534 141.484122 \nL 93.337858 139.421071 \nL 98.468042 137.465917 \nL 103.924059 135.61683 \nL 109.694418 133.871569 \nL 117.015555 131.910676 \nL 124.745852 130.090706 \nL 132.857772 128.40649 \nL 142.763688 126.606125 \nL 153.096071 124.975232 \nL 163.799014 123.506279 \nL 176.40828 122.017442 \nL 189.330162 120.724015 \nL 202.466763 119.621177 \nL 217.37607 118.606408 \nL 232.28192 117.833822 \nL 247.035766 117.312032 \nL 259.903092 117.070049 \nL 272.431372 117.050564 \nL 284.521495 117.269531 \nL 294.666133 117.670892 \nL 304.342161 118.281652 \nL 312.219888 118.982015 \nL 319.678427 119.854579 \nL 326.68713 120.907601 \nL 332.163831 121.928633 \nL 337.294095 123.084604 \nL 342.064854 124.379297 \nL 346.464526 125.815993 \nL 350.483176 127.397402 \nL 353.418154 128.768129 \nL 356.100497 130.233517 \nL 358.527403 131.793971 \nL 360.696803 133.449546 \nL 362.607325 135.199942 \nL 364.25826 137.04448 \nL 365.649573 138.98209 \nL 366.781917 141.011297 \nL 367.656606 143.130211 \nL 368.27556 145.336525 \nL 368.641308 147.627503 \nL 368.756981 149.999977 \nL 368.626261 152.450355 \nL 368.253356 154.974615 \nL 367.642977 157.568315 \nL 366.800279 160.226597 \nL 365.730854 162.944204 \nL 364.440659 165.715483 \nL 362.527108 169.245842 \nL 360.291473 172.838068 \nL 357.747373 176.478793 \nL 354.908882 180.1539 \nL 351.790453 183.84861 \nL 348.406776 187.547551 \nL 344.772705 191.234858 \nL 340.102161 195.621343 \nL 335.117869 199.938978 \nL 329.844846 204.158739 \nL 324.307525 208.251525 \nL 319.508239 211.544311 \nL 314.554977 214.712327 \nL 309.460346 217.739421 \nL 304.236447 220.609899 \nL 298.894799 223.308623 \nL 293.446323 225.821132 \nL 287.901364 228.133729 \nL 282.269665 230.233631 \nL 276.560435 232.109002 \nL 270.782329 233.749074 \nL 264.943532 235.14423 \nL 259.051751 236.286056 \nL 253.11431 237.167423 \nL 247.138207 237.782548 \nL 241.130153 238.127013 \nL 235.096671 238.197816 \nL 229.044154 237.993388 \nL 222.978946 237.513641 \nL 216.90742 236.759904 \nL 210.836051 235.73494 \nL 204.7715 234.442964 \nL 198.720682 232.889572 \nL 192.69084 231.0817 \nL 186.689614 229.0276 \nL 180.725102 226.736731 \nL 174.805915 224.219746 \nL 168.941226 221.488375 \nL 163.140802 218.555352 \nL 157.415056 215.434338 \nL 151.775045 212.139807 \nL 145.136748 207.978761 \nL 138.660339 203.617165 \nL 132.368667 199.08343 \nL 126.285835 194.4067 \nL 120.437122 189.616597 \nL 114.848807 184.742905 \nL 109.547989 179.815353 \nL 104.562405 174.863322 \nL 99.920136 169.9156 \nL 95.649365 165.000141 \nL 92.394373 160.948008 \nL 89.432732 156.951872 \nL 86.77999 153.025941 \nL 84.451161 149.183654 \nL 82.460604 145.43763 \nL 80.821858 141.7996 \nL 79.772682 138.974224 \nL 78.96273 136.229986 \nL 78.397478 133.571559 \nL 78.081913 131.003206 \nL 78.020423 128.528767 \nL 78.21684 126.151655 \nL 78.674364 123.874862 \nL 79.395489 121.700952 \nL 80.38209 119.632072 \nL 81.635286 117.669951 \nL 83.155524 115.81592 \nL 84.94246 114.07092 \nL 86.994998 112.435501 \nL 89.311308 110.909859 \nL 91.888805 109.493844 \nL 94.724117 108.186972 \nL 97.813117 106.98846 \nL 101.150945 105.897241 \nL 105.66453 104.682058 \nL 110.545577 103.62934 \nL 115.779852 102.735503 \nL 121.351525 101.996569 \nL 128.458334 101.308237 \nL 135.993169 100.82888 \nL 143.920563 100.550355 \nL 152.202619 100.464458 \nL 162.259768 100.596924 \nL 172.67845 100.968279 \nL 183.38938 101.567141 \nL 194.321354 102.383352 \nL 205.401984 103.408161 \nL 218.154131 104.82577 \nL 229.308329 106.275854 \nL 240.383952 107.918016 \nL 251.31125 109.750543 \nL 262.022819 111.773298 \nL 272.45421 113.987511 \nL 281.126099 116.039556 \nL 289.51123 118.235969 \nL 297.575941 120.579017 \nL 305.289133 123.071086 \nL 311.427738 125.263321 \nL 317.287616 127.561855 \nL 322.855339 129.967703 \nL 328.118964 132.481575 \nL 333.068075 135.103838 \nL 337.693743 137.834417 \nL 341.988627 140.672727 \nL 345.182415 143.020189 \nL 348.158474 145.434991 \nL 350.915169 147.915968 \nL 353.45146 150.461659 \nL 355.766889 153.070287 \nL 357.861606 155.73975 \nL 359.73634 158.467605 \nL 361.392363 161.251062 \nL 362.831434 164.086974 \nL 364.055852 166.971836 \nL 365.068384 169.901776 \nL 365.87223 172.872561 \nL 366.471016 175.879597 \nL 366.868755 178.917937 \nL 367.069802 181.982278 \nL 367.078869 185.066986 \nL 366.900906 188.166093 \nL 366.541126 191.273323 \nL 365.844024 195.15875 \nL 364.882348 199.033151 \nL 363.667455 202.882477 \nL 362.210924 206.69216 \nL 360.52442 210.447163 \nL 358.619706 214.132094 \nL 356.508423 217.731287 \nL 354.202106 221.228895 \nL 351.71203 224.609013 \nL 349.049192 227.855762 \nL 346.224216 230.953414 \nL 343.247311 233.886481 \nL 340.128195 236.639855 \nL 336.876073 239.198887 \nL 333.499623 241.549515 \nL 330.00695 243.67834 \nL 326.405602 245.572796 \nL 322.702507 247.221149 \nL 318.904056 248.612656 \nL 315.800547 249.534388 \nL 312.642478 250.281058 \nL 309.432328 250.848734 \nL 306.172437 251.233953 \nL 302.864919 251.433767 \nL 299.51173 251.445767 \nL 296.114671 251.26811 \nL 292.675388 250.899495 \nL 289.19543 250.339196 \nL 285.676226 249.587035 \nL 281.224108 248.377675 \nL 276.715325 246.871184 \nL 272.152353 245.070945 \nL 267.537679 242.981626 \nL 262.873869 240.60923 \nL 258.163628 237.960976 \nL 253.409907 235.045301 \nL 248.615958 231.871755 \nL 242.815257 227.738139 \nL 236.968994 223.268754 \nL 231.08538 218.485661 \nL 225.173856 213.412562 \nL 218.256297 207.160992 \nL 211.335226 200.590842 \nL 204.433269 193.745763 \nL 196.601791 185.643797 \nL 188.87216 177.309584 \nL 181.292826 168.811731 \nL 173.917152 160.218442 \nL 166.802999 151.596705 \nL 160.012048 143.01158 \nL 153.608951 134.525543 \nL 148.376757 127.228251 \nL 143.537665 120.089712 \nL 139.736859 114.123948 \nL 136.28569 108.321151 \nL 133.211108 102.700412 \nL 130.95523 98.168236 \nL 128.99284 93.784009 \nL 127.337115 89.55626 \nL 126.00018 85.492738 \nL 124.993016 81.600386 \nL 124.431263 78.613923 \nL 124.091076 75.743764 \nL 123.97614 72.992392 \nL 124.089492 70.361964 \nL 124.433481 67.854339 \nL 125.009749 65.471077 \nL 125.819215 63.213453 \nL 126.862046 61.082467 \nL 128.137634 59.078854 \nL 129.644609 57.203076 \nL 131.380815 55.455396 \nL 133.343303 53.835834 \nL 135.528349 52.344185 \nL 137.931457 50.980105 \nL 140.547354 49.743035 \nL 143.370026 48.632293 \nL 146.392717 47.647056 \nL 150.440939 46.590574 \nL 154.773948 45.726688 \nL 159.374114 45.053202 \nL 164.222352 44.567824 \nL 169.298238 44.268187 \nL 174.58014 44.15191 \nL 181.158325 44.251166 \nL 187.95946 44.607294 \nL 194.941045 45.21677 \nL 202.059437 46.076351 \nL 209.270276 47.183267 \nL 216.528876 48.535162 \nL 223.790643 50.130167 \nL 231.011477 51.966839 \nL 238.14817 54.044141 \nL 244.000832 55.958549 \nL 249.742485 58.039375 \nL 255.350628 60.286461 \nL 260.803804 62.699718 \nL 266.081726 65.279057 \nL 271.165382 68.024318 \nL 276.037133 70.935245 \nL 280.680786 74.011387 \nL 285.081682 77.252043 \nL 288.418761 79.96236 \nL 291.58612 82.776644 \nL 294.578501 85.694045 \nL 297.391289 88.713491 \nL 300.020592 91.833704 \nL 302.463185 95.053155 \nL 304.71653 98.37006 \nL 306.778769 101.782355 \nL 308.648696 105.287686 \nL 310.325768 108.883363 \nL 311.810059 112.566399 \nL 313.102266 116.333439 \nL 314.20367 120.180788 \nL 315.116078 124.104383 \nL 315.84188 128.099795 \nL 316.383932 132.162219 \nL 316.745564 136.286469 \nL 316.949687 141.52021 \nL 316.886059 146.830131 \nL 316.563748 152.203614 \nL 315.992596 157.627154 \nL 315.183033 163.08638 \nL 314.146045 168.566098 \nL 312.892952 174.050342 \nL 311.435393 179.522427 \nL 309.785156 184.96502 \nL 307.567226 191.431957 \nL 305.109312 197.798773 \nL 302.431485 204.032849 \nL 299.553314 210.101028 \nL 296.493664 215.969925 \nL 293.270561 221.606188 \nL 289.901033 226.976821 \nL 286.992769 231.226085 \nL 284.002533 235.250216 \nL 280.938344 239.0316 \nL 277.807651 242.553403 \nL 274.617322 245.799576 \nL 271.373638 248.755101 \nL 268.082299 251.406031 \nL 265.418398 253.298884 \nL 262.729715 254.982695 \nL 260.018457 256.452133 \nL 257.286641 257.702416 \nL 254.536117 258.729399 \nL 251.76858 259.529594 \nL 248.985587 260.100148 \nL 246.188574 260.438884 \nL 243.378873 260.544312 \nL 240.557736 260.415646 \nL 237.726364 260.052779 \nL 234.885905 259.456312 \nL 232.037493 258.62754 \nL 229.182267 257.568436 \nL 226.321389 256.281649 \nL 223.456062 254.770491 \nL 220.58756 253.038912 \nL 217.717241 251.09149 \nL 214.12903 248.361602 \nL 210.54342 245.313896 \nL 206.963913 241.961001 \nL 203.394426 238.316758 \nL 199.839335 234.39609 \nL 195.599135 229.348819 \nL 191.396171 223.955484 \nL 187.241077 218.246629 \nL 183.145717 212.253986 \nL 179.123209 206.010146 \nL 174.541594 198.452426 \nL 170.10366 190.65102 \nL 165.836448 182.658919 \nL 161.76892 174.528446 \nL 157.931738 166.310749 \nL 154.356876 158.055325 \nL 151.5264 150.985237 \nL 148.933793 143.950784 \nL 146.600064 136.978978 \nL 144.545949 130.095274 \nL 142.791666 123.323452 \nL 141.572851 117.781703 \nL 140.586422 112.344817 \nL 139.842413 107.023737 \nL 139.35009 101.82853 \nL 139.117829 96.768395 \nL 139.153045 91.85165 \nL 139.378074 88.026545 \nL 139.781038 84.301453 \nL 140.364108 80.679473 \nL 141.128915 77.163405 \nL 142.076521 73.755702 \nL 143.20739 70.458554 \nL 144.521372 67.273849 \nL 146.017703 64.203198 \nL 147.694957 61.247956 \nL 149.551078 58.409239 \nL 151.583327 55.687959 \nL 153.788326 53.084807 \nL 156.162032 50.600279 \nL 158.699729 48.23472 \nL 161.396067 45.988316 \nL 164.245065 43.86112 \nL 167.240115 41.853088 \nL 171.17827 39.510404 \nL 175.317975 37.353249 \nL 179.642551 35.381047 \nL 184.134069 33.593172 \nL 188.773471 31.988965 \nL 193.540666 30.567774 \nL 198.414663 29.329012 \nL 203.373696 28.272193 \nL 208.395365 27.396963 \nL 214.471793 26.586097 \nL 220.565259 26.036399 \nL 226.635257 25.748204 \nL 232.641338 25.722247 \nL 238.543492 25.959645 \nL 243.354257 26.359689 \nL 248.043555 26.944625 \nL 252.590042 27.715596 \nL 256.973239 28.673805 \nL 261.173656 29.820546 \nL 265.17292 31.157076 \nL 268.953883 32.684661 \nL 272.500728 34.40448 \nL 275.159924 35.919455 \nL 277.653367 37.558606 \nL 279.975016 39.322297 \nL 282.11948 41.210793 \nL 284.082059 43.224218 \nL 285.858699 45.362607 \nL 287.446069 47.625793 \nL 288.841516 50.01343 \nL 290.043078 52.525013 \nL 291.049487 55.159798 \nL 291.860159 57.916846 \nL 292.475158 60.79498 \nL 292.895215 63.792783 \nL 293.12169 66.908546 \nL 293.156551 70.14032 \nL 293.002358 73.485865 \nL 292.548567 77.823899 \nL 291.811527 82.330124 \nL 290.799675 86.99818 \nL 289.522509 91.820947 \nL 287.9905 96.790531 \nL 285.831665 102.93553 \nL 283.34308 109.262875 \nL 280.546802 115.754432 \nL 277.465783 122.390434 \nL 273.542752 130.286469 \nL 269.301903 138.313561 \nL 264.780887 146.432589 \nL 259.318313 155.770594 \nL 253.591321 165.108675 \nL 247.650338 174.378001 \nL 241.542278 183.507174 \nL 235.310019 192.422991 \nL 228.992062 201.051314 \nL 223.420347 208.306971 \nL 217.828944 215.236681 \nL 212.235106 221.792533 \nL 207.449709 227.079212 \nL 202.681356 232.029512 \nL 197.936857 236.617193 \nL 194.005538 240.145539 \nL 190.097713 243.391952 \nL 186.215903 246.344404 \nL 182.362334 248.992066 \nL 178.539003 251.325345 \nL 174.747733 253.335972 \nL 171.738971 254.707518 \nL 168.75271 255.865311 \nL 165.789839 256.80711 \nL 162.851271 257.531313 \nL 159.93797 258.036954 \nL 157.051001 258.323679 \nL 154.191507 258.391798 \nL 151.360745 258.242267 \nL 148.560128 257.876663 \nL 145.791199 257.297191 \nL 143.05569 256.50672 \nL 140.35551 255.508651 \nL 137.692782 254.307022 \nL 135.06983 252.90642 \nL 132.4892 251.311982 \nL 129.953686 249.529366 \nL 126.852356 247.045856 \nL 123.8327 244.290916 \nL 120.901769 241.278554 \nL 118.067234 238.023684 \nL 115.337351 234.542025 \nL 112.720957 230.849925 \nL 110.22745 226.964343 \nL 107.866744 222.902659 \nL 105.649232 218.68254 \nL 103.585729 214.321869 \nL 101.687395 209.838599 \nL 99.965698 205.250627 \nL 98.432312 200.575703 \nL 97.099012 195.831319 \nL 95.977611 191.034592 \nL 95.079872 186.202207 \nL 94.417355 181.350287 \nL 94.001335 176.494348 \nL 93.842683 171.649224 \nL 93.951782 166.828997 \nL 94.238398 162.999696 \nL 94.707253 159.201271 \nL 95.362669 155.439789 \nL 96.208557 151.720955 \nL 97.248449 148.050109 \nL 98.485386 144.432224 \nL 99.921965 140.8719 \nL 101.560254 137.373375 \nL 103.401763 133.940518 \nL 105.447464 130.576849 \nL 107.697722 127.285535 \nL 110.152274 124.069414 \nL 112.810241 120.930996 \nL 115.670078 117.872484 \nL 118.72958 114.895791 \nL 121.985886 112.002562 \nL 125.435426 109.194181 \nL 129.073961 106.471807 \nL 133.880325 103.191206 \nL 138.963105 100.047884 \nL 144.309532 97.042899 \nL 149.905227 94.176977 \nL 155.734246 91.450614 \nL 161.779136 88.86412 \nL 168.021009 86.417707 \nL 174.43963 84.111553 \nL 182.344937 81.529611 \nL 190.43443 79.150453 \nL 198.666681 76.974909 \nL 206.998469 75.004222 \nL 215.38511 73.240116 \nL 223.780816 71.6849 \nL 232.139068 70.34148 \nL 240.412999 69.213363 \nL 248.555798 68.304685 \nL 256.521097 67.620103 \nL 264.263405 67.164798 \nL 271.738476 66.944332 \nL 278.903745 66.964577 \nL 285.71865 67.231553 \nL 291.102504 67.646874 \nL 296.195884 68.241171 \nL 300.979597 69.017729 \nL 305.436037 69.97964 \nL 309.549253 71.129693 \nL 312.583126 72.186866 \nL 315.381794 73.367099 \nL 317.939648 74.67127 \nL 320.251819 76.100033 \nL 322.314258 77.653806 \nL 324.123765 79.332755 \nL 325.677915 81.136771 \nL 326.975096 83.065436 \nL 328.01453 85.118048 \nL 328.796241 87.293562 \nL 329.321018 89.590612 \nL 329.590438 92.007477 \nL 329.606822 94.542081 \nL 329.373189 97.192 \nL 328.893278 99.954429 \nL 328.171433 102.8262 \nL 327.212673 105.803763 \nL 326.022567 108.883213 \nL 324.218972 112.869251 \nL 322.076475 116.998609 \nL 319.609128 121.261269 \nL 316.831944 125.646371 \nL 313.112522 131.053624 \nL 308.997968 136.598724 \nL 304.517523 142.258573 \nL 299.700973 148.008724 \nL 293.696883 154.797084 \nL 287.323519 161.630897 \nL 280.627374 168.466107 \nL 273.653492 175.257499 \nL 266.444947 181.959151 \nL 259.042487 188.524887 \nL 251.484219 194.908728 \nL 243.805376 201.065421 \nL 237.152073 206.128349 \nL 230.452485 210.965224 \nL 223.723561 215.550416 \nL 216.980706 219.859674 \nL 210.237855 223.870357 \nL 204.627927 226.9694 \nL 199.033384 229.83557 \nL 193.460311 232.458887 \nL 187.914335 234.830486 \nL 182.400679 236.94268 \nL 176.924241 238.788986 \nL 171.489674 240.364198 \nL 166.101437 241.664411 \nL 160.763918 242.687081 \nL 155.481462 243.430971 \nL 150.258472 243.89622 \nL 145.099469 244.084353 \nL 140.009188 243.998204 \nL 134.992608 243.641961 \nL 130.055005 243.021079 \nL 125.202056 242.142262 \nL 120.439843 241.013419 \nL 115.774901 239.6436 \nL 111.214267 238.042918 \nL 106.7655 236.222462 \nL 102.436658 234.194221 \nL 98.236352 231.971002 \nL 94.173775 229.566326 \nL 90.258565 226.994347 \nL 86.500898 224.269684 \nL 82.911463 221.407397 \nL 79.501295 218.42282 \nL 76.281908 215.331491 \nL 73.265031 212.148995 \nL 70.462715 208.890924 \nL 67.887173 205.572704 \nL 65.550695 202.209541 \nL 63.465617 198.816298 \nL 61.64414 195.407417 \nL 60.098325 191.996826 \nL 58.839881 188.59787 \nL 58.047674 185.89561 \nL 57.452238 183.215067 \nL 57.058924 180.562074 \nL 56.872786 177.942127 \nL 56.898603 175.360369 \nL 57.140754 172.821583 \nL 57.603309 170.330176 \nL 58.289882 167.890176 \nL 59.203696 165.505222 \nL 60.347485 163.178569 \nL 61.723523 160.913079 \nL 63.333548 158.711228 \nL 65.178762 156.575114 \nL 67.259849 154.506457 \nL 69.576913 152.506612 \nL 72.129474 150.576584 \nL 74.916457 148.717036 \nL 77.936215 146.928308 \nL 82.034728 144.792014 \nL 86.487589 142.765857 \nL 91.287561 140.848651 \nL 96.425931 139.038646 \nL 101.892536 137.333611 \nL 108.869363 135.422391 \nL 116.279509 133.653349 \nL 124.097587 132.020858 \nL 132.29563 130.519038 \nL 142.299509 128.924164 \nL 152.726802 127.48997 \nL 165.090158 126.036877 \nL 177.844264 124.771867 \nL 190.895305 123.686594 \nL 205.810931 122.673973 \nL 220.835401 121.879674 \nL 235.822783 121.307008 \nL 250.626438 120.965168 \nL 265.101026 120.868978 \nL 277.576145 121.005661 \nL 289.582718 121.368837 \nL 299.631828 121.887113 \nL 309.19383 122.606505 \nL 316.960937 123.393566 \nL 324.298664 124.34698 \nL 331.177951 125.475008 \nL 336.541448 126.554022 \nL 341.554644 127.763776 \nL 346.205362 129.107927 \nL 350.482981 130.589595 \nL 354.37848 132.211304 \nL 357.214719 133.610757 \nL 359.798585 135.101617 \nL 362.127723 136.684144 \nL 364.200441 138.358249 \nL 366.015732 140.123477 \nL 367.573244 141.978985 \nL 368.873294 143.923534 \nL 369.916834 145.955477 \nL 370.705451 148.07275 \nL 371.241329 150.272864 \nL 371.527236 152.552906 \nL 371.566499 154.909535 \nL 371.362971 157.33898 \nL 370.921019 159.837052 \nL 370.245434 162.399144 \nL 369.341498 165.020243 \nL 368.214837 167.69494 \nL 366.502481 171.104832 \nL 364.463915 174.577301 \nL 362.112207 178.099411 \nL 359.460929 181.657462 \nL 356.524087 185.237073 \nL 353.31595 188.823237 \nL 349.85097 192.400435 \nL 346.143667 195.952714 \nL 342.208528 199.463805 \nL 337.205759 203.599489 \nL 331.919828 207.623359 \nL 327.315644 210.870462 \nL 322.544484 214.003534 \nL 317.619155 217.006376 \nL 312.551912 219.863172 \nL 307.354499 222.558597 \nL 302.03808 225.077915 \nL 296.613271 227.407099 \nL 291.090104 229.53294 \nL 285.478048 231.443106 \nL 279.786048 233.12628 \nL 274.022521 234.572232 \nL 268.195428 235.771878 \nL 262.312297 236.717379 \nL 256.380296 237.402173 \nL 250.40629 237.821027 \nL 244.396893 237.970124 \nL 238.358547 237.847036 \nL 232.297607 237.450747 \nL 226.220399 236.781716 \nL 220.133309 235.841803 \nL 214.042854 234.63432 \nL 207.955762 233.163961 \nL 201.879043 231.436801 \nL 195.820063 229.460207 \nL 189.786606 227.242833 \nL 183.786944 224.794538 \nL 177.829872 222.126295 \nL 171.924783 219.250158 \nL 166.081686 216.179122 \nL 160.311229 212.927077 \nL 153.498548 208.806395 \nL 146.827678 204.472842 \nL 140.320849 199.954179 \nL 134.001652 195.279078 \nL 127.894923 190.476817 \nL 122.026653 185.577048 \nL 116.423789 180.609473 \nL 111.114064 175.603634 \nL 106.125781 170.588639 \nL 101.487537 165.592915 \nL 97.227903 160.643984 \nL 93.987877 156.574693 \nL 91.046485 152.570818 \nL 88.419389 148.646216 \nL 86.12159 144.81396 \nL 84.167426 141.086281 \nL 82.570321 137.474513 \nL 81.558144 134.675571 \nL 80.788346 131.962352 \nL 80.266291 129.339323 \nL 79.996779 126.810529 \nL 79.984042 124.379594 \nL 80.231693 122.049721 \nL 80.742681 119.823694 \nL 81.51927 117.703869 \nL 82.563072 115.692195 \nL 83.874933 113.790212 \nL 85.454957 111.999059 \nL 87.302503 110.319486 \nL 89.416153 108.75189 \nL 91.793735 107.296298 \nL 94.432276 105.9524 \nL 97.328083 104.719585 \nL 100.47664 103.596932 \nL 104.759736 102.346697 \nL 109.417692 101.263869 \nL 114.436914 100.345077 \nL 119.802114 99.586496 \nL 125.496469 98.983946 \nL 132.738234 98.460584 \nL 140.393167 98.147464 \nL 148.424326 98.036368 \nL 158.217073 98.151157 \nL 168.402763 98.517075 \nL 178.912794 99.12219 \nL 189.676347 99.955607 \nL 200.621119 101.007719 \nL 211.674099 102.270453 \nL 222.762279 103.737345 \nL 233.813383 105.403635 \nL 244.756552 107.266223 \nL 255.523009 109.323608 \nL 266.046683 111.575724 \nL 274.826058 113.661958 \nL 283.34356 115.893384 \nL 291.564145 118.271669 \nL 299.4553 120.798679 \nL 306.98718 123.476302 \nL 312.969717 125.823968 \nL 318.669874 128.278266 \nL 324.075092 130.839781 \nL 329.174291 133.508769 \nL 333.95789 136.2851 \nL 338.417897 139.168166 \nL 342.547853 142.156821 \nL 345.610841 144.622619 \nL 348.457575 147.153694 \nL 351.086878 149.748556 \nL 353.498132 152.405416 \nL 355.691314 155.122161 \nL 357.666995 157.89635 \nL 359.42624 160.725197 \nL 360.970694 163.605569 \nL 362.302496 166.53398 \nL 363.42424 169.506583 \nL 364.338992 172.519174 \nL 365.050238 175.567194 \nL 365.561867 178.645729 \nL 365.878073 181.749521 \nL 366.003441 184.872975 \nL 365.942798 188.010168 \nL 365.613249 191.941468 \nL 365.011525 195.871661 \nL 364.148487 199.787282 \nL 363.035328 203.674254 \nL 361.683507 207.517988 \nL 360.104569 211.303446 \nL 358.310109 215.015245 \nL 356.31164 218.637734 \nL 354.120551 222.15509 \nL 351.747943 225.551441 \nL 349.204666 228.810969 \nL 346.501194 231.917991 \nL 343.647542 234.857097 \nL 340.653303 237.613243 \nL 337.527533 240.171876 \nL 334.278727 242.519033 \nL 330.914819 244.641438 \nL 327.443196 246.526595 \nL 323.870649 248.162921 \nL 320.944131 249.285645 \nL 317.95992 250.237345 \nL 314.920691 251.013523 \nL 311.828935 251.610184 \nL 308.686918 252.023786 \nL 305.49672 252.251337 \nL 302.260228 252.290391 \nL 298.979173 252.139018 \nL 295.655134 251.795855 \nL 292.289574 251.260087 \nL 288.883837 250.531491 \nL 284.57206 249.350098 \nL 280.201789 247.869794 \nL 275.77522 246.093793 \nL 271.294546 244.026649 \nL 266.762039 241.674179 \nL 262.180042 239.043485 \nL 257.551139 236.142822 \nL 252.878165 232.981629 \nL 247.216944 228.8591 \nL 241.503184 224.396482 \nL 235.744214 219.615607 \nL 229.948543 214.53994 \nL 223.153736 208.279026 \nL 216.340505 201.692365 \nL 209.529814 194.823287 \nL 201.780176 186.684336 \nL 194.106013 178.302572 \nL 186.553324 169.746279 \nL 179.173179 161.083387 \nL 172.021328 152.380706 \nL 165.157633 143.703216 \nL 158.645317 135.113425 \nL 153.286793 127.716123 \nL 148.292268 120.469158 \nL 143.706624 113.40784 \nL 140.135129 107.527984 \nL 136.923744 101.827777 \nL 134.098557 96.324825 \nL 132.057086 91.901354 \nL 130.314295 87.634506 \nL 128.882524 83.531988 \nL 127.772984 79.600706 \nL 127.124097 76.583136 \nL 126.692303 73.681897 \nL 126.481463 70.899477 \nL 126.4948 68.238053 \nL 126.734882 65.699505 \nL 127.203565 63.285433 \nL 127.901995 60.997141 \nL 128.830593 58.835665 \nL 129.989005 56.801783 \nL 131.37611 54.896018 \nL 132.99004 53.11868 \nL 134.828114 51.46985 \nL 136.886894 49.949402 \nL 139.162163 48.557018 \nL 141.648947 47.292238 \nL 144.341511 46.154433 \nL 147.233397 45.142823 \nL 151.117571 44.054469 \nL 155.286451 43.160048 \nL 159.722951 42.457472 \nL 164.408524 41.944533 \nL 169.323269 41.618984 \nL 174.446044 41.478531 \nL 180.83661 41.551184 \nL 187.454484 41.883446 \nL 194.257891 42.471853 \nL 201.203848 43.313281 \nL 208.248589 44.404974 \nL 215.347954 45.744612 \nL 222.457814 47.330301 \nL 229.534467 49.160596 \nL 236.535029 51.234435 \nL 242.28059 53.148144 \nL 247.92103 55.23021 \nL 253.433938 57.480458 \nL 258.797915 59.898753 \nL 263.99271 62.484991 \nL 268.999314 65.238966 \nL 273.800058 68.160388 \nL 278.378711 71.248795 \nL 282.720535 74.503479 \nL 286.014578 77.226282 \nL 289.142584 80.054168 \nL 292.099223 82.986287 \nL 294.879826 86.021586 \nL 297.480419 89.158798 \nL 299.897704 92.396403 \nL 302.129068 95.732649 \nL 304.172545 99.165499 \nL 306.026848 102.69261 \nL 307.691326 106.311353 \nL 309.165955 110.01876 \nL 310.451331 113.811524 \nL 311.548619 117.686 \nL 312.459552 121.63818 \nL 313.186394 125.663682 \nL 313.7319 129.757756 \nL 314.099305 133.915274 \nL 314.313741 139.192959 \nL 314.263685 144.549552 \nL 313.958021 149.972549 \nL 313.406387 155.448551 \nL 312.61905 160.963293 \nL 311.60681 166.501676 \nL 310.380843 172.047816 \nL 308.952611 177.585105 \nL 307.333782 183.096266 \nL 305.156092 189.649988 \nL 302.740991 196.108519 \nL 300.10839 202.439225 \nL 297.277685 208.608897 \nL 294.267611 214.584024 \nL 291.096061 220.331087 \nL 287.779969 225.81685 \nL 284.917627 230.165166 \nL 281.974525 234.290953 \nL 278.958677 238.176376 \nL 275.877493 241.804306 \nL 272.737814 245.158459 \nL 269.545918 248.223495 \nL 266.307493 250.985149 \nL 263.027708 253.430339 \nL 260.377233 255.150663 \nL 257.705423 256.655472 \nL 255.014248 257.939947 \nL 252.305522 258.999918 \nL 249.580897 259.831817 \nL 246.841893 260.432764 \nL 244.089919 260.800556 \nL 241.326275 260.933659 \nL 238.552193 260.83125 \nL 235.768839 260.493196 \nL 232.977348 259.920083 \nL 230.178835 259.113175 \nL 227.374422 258.074432 \nL 224.565253 256.806499 \nL 221.752523 255.312663 \nL 218.93749 253.596882 \nL 216.1215 251.663718 \nL 212.602394 248.949505 \nL 209.087191 245.915118 \nL 205.579373 242.573213 \nL 202.082829 238.937649 \nL 198.601905 235.023383 \nL 194.452267 229.980885 \nL 190.341504 224.58922 \nL 186.280171 218.879059 \nL 182.280015 212.882236 \nL 178.354037 206.631467 \nL 173.886524 199.062366 \nL 169.564028 191.246211 \nL 165.413275 183.236186 \nL 161.46289 175.084808 \nL 157.743096 166.843405 \nL 154.762098 159.745385 \nL 151.99402 152.647811 \nL 149.459501 145.579462 \nL 147.179179 138.567679 \nL 145.173496 131.638242 \nL 143.462369 124.815276 \nL 142.275293 119.227016 \nL 141.316631 113.740296 \nL 140.596289 108.366254 \nL 140.123444 103.115148 \nL 139.906412 97.996375 \nL 139.952552 93.018441 \nL 140.183213 89.142671 \nL 140.589035 85.365485 \nL 141.172208 81.690091 \nL 141.934379 78.119361 \nL 142.876635 74.655861 \nL 143.999477 71.301823 \nL 145.302809 68.059245 \nL 146.785917 64.929818 \nL 148.447444 61.914968 \nL 150.285392 59.015898 \nL 152.297123 56.233584 \nL 154.479346 53.568787 \nL 156.828098 51.022073 \nL 159.338778 48.593868 \nL 162.006143 46.284401 \nL 164.824317 44.093789 \nL 167.786804 42.022039 \nL 171.682 39.599369 \nL 175.776463 37.361936 \nL 180.053756 35.309262 \nL 184.496204 33.440798 \nL 189.08499 31.75596 \nL 193.800268 30.254162 \nL 198.621289 28.934866 \nL 203.526526 27.797654 \nL 208.493806 26.842199 \nL 214.50449 25.935345 \nL 220.532034 25.290012 \nL 226.536267 24.906573 \nL 232.477044 24.785806 \nL 238.314636 24.928836 \nL 243.072346 25.250604 \nL 247.709401 25.7576 \nL 252.204572 26.450966 \nL 256.537475 27.331953 \nL 260.688705 28.401816 \nL 264.639948 29.661876 \nL 268.374111 31.113408 \nL 271.87541 32.757624 \nL 274.499088 34.212459 \nL 276.957848 35.791789 \nL 279.245642 37.496031 \nL 281.357086 39.32545 \nL 283.287456 41.280249 \nL 285.032723 43.360465 \nL 286.58952 45.565981 \nL 287.955193 47.896516 \nL 289.127754 50.351625 \nL 290.105922 52.930627 \nL 290.889086 55.632654 \nL 291.477301 58.456609 \nL 291.871284 61.401153 \nL 292.072366 64.464684 \nL 292.082513 67.645342 \nL 291.904264 70.940993 \nL 291.421288 75.218569 \nL 290.656041 79.666681 \nL 289.616927 84.279234 \nL 288.313435 89.049371 \nL 286.756026 93.969485 \nL 284.567944 100.059742 \nL 282.051462 106.337916 \nL 279.228675 112.786444 \nL 275.579003 120.499394 \nL 271.58122 128.384995 \nL 267.273221 136.407382 \nL 262.018346 145.693811 \nL 256.462706 155.047147 \nL 250.659252 164.402277 \nL 244.657912 173.690893 \nL 238.504975 182.842146 \nL 232.242565 191.783379 \nL 225.908357 200.440984 \nL 219.535415 208.741305 \nL 213.949803 215.65383 \nL 208.372667 222.189681 \nL 203.609547 227.457329 \nL 198.870213 232.38719 \nL 194.160929 236.953342 \nL 189.48699 241.131671 \nL 185.622276 244.30133 \nL 181.787427 247.174682 \nL 177.984391 249.741322 \nL 174.214921 251.992118 \nL 170.480638 253.919261 \nL 167.519602 255.2236 \nL 164.582886 256.314079 \nL 161.671323 257.188716 \nL 158.785795 257.846128 \nL 155.927238 258.28559 \nL 153.096699 258.506985 \nL 150.295316 258.510855 \nL 147.524363 258.298369 \nL 144.78527 257.871341 \nL 142.079614 257.232189 \nL 139.409179 256.383952 \nL 136.77592 255.330233 \nL 134.18201 254.075256 \nL 131.629832 252.62376 \nL 129.122022 250.981049 \nL 126.054014 248.667641 \nL 123.065933 246.076879 \nL 120.164477 243.222159 \nL 117.356983 240.117856 \nL 114.651384 236.779175 \nL 112.056188 233.222038 \nL 109.58046 229.463014 \nL 107.233829 225.519148 \nL 105.026389 221.407849 \nL 102.968684 217.14678 \nL 101.071642 212.753742 \nL 99.346492 208.246548 \nL 97.804702 203.6429 \nL 96.457911 198.960303 \nL 95.317804 194.215954 \nL 94.396066 189.42664 \nL 93.704211 184.60865 \nL 93.253535 179.777701 \nL 93.054958 174.948858 \nL 93.118963 170.136478 \nL 93.45544 165.354154 \nL 93.926994 161.55855 \nL 94.583176 157.796528 \nL 95.427932 154.073889 \nL 96.464863 150.39607 \nL 97.69709 146.768143 \nL 99.127277 143.194813 \nL 100.757585 139.680423 \nL 102.58965 136.228954 \nL 104.624535 132.844031 \nL 106.862753 129.528933 \nL 109.304157 126.286602 \nL 111.948026 123.119664 \nL 114.792954 120.030425 \nL 117.836917 117.020908 \nL 121.077194 114.092851 \nL 124.510389 111.247745 \nL 128.132432 108.48683 \nL 132.918272 105.155659 \nL 137.980947 101.959255 \nL 143.308051 98.898832 \nL 148.885549 95.975281 \nL 154.697847 93.189207 \nL 160.72785 90.541059 \nL 166.956998 88.031154 \nL 173.365369 85.659777 \nL 181.262067 82.997388 \nL 189.347427 80.535544 \nL 197.580449 78.275183 \nL 205.918285 76.217656 \nL 214.316552 74.364752 \nL 222.729697 72.718862 \nL 231.111359 71.282961 \nL 239.414753 70.060626 \nL 247.593071 69.056022 \nL 255.599868 68.273911 \nL 263.389482 67.719527 \nL 270.917428 67.39853 \nL 278.140802 67.316897 \nL 285.018654 67.480783 \nL 290.458321 67.809378 \nL 295.610235 68.316286 \nL 300.454878 69.004906 \nL 304.97427 69.878436 \nL 309.152086 70.939824 \nL 312.238542 71.925947 \nL 315.090387 73.035121 \nL 317.701762 74.268295 \nL 320.067613 75.626211 \nL 322.183676 77.109376 \nL 324.046486 78.718063 \nL 325.653412 80.452255 \nL 327.002627 82.31166 \nL 328.093147 84.295665 \nL 328.924777 86.403347 \nL 329.498101 88.633461 \nL 329.814512 90.984395 \nL 329.876128 93.454205 \nL 329.685805 96.040579 \nL 329.2471 98.740844 \nL 328.564266 101.551949 \nL 327.64214 104.470488 \nL 326.486174 107.492671 \nL 324.721579 111.409793 \nL 322.613851 115.473452 \nL 320.176941 119.673878 \nL 317.425711 124.000451 \nL 313.731454 129.342712 \nL 309.635508 134.82893 \nL 305.167166 140.436414 \nL 300.356343 146.141105 \nL 294.351139 152.885654 \nL 287.968651 159.686113 \nL 281.255864 166.498931 \nL 274.258429 173.279349 \nL 267.020106 179.981834 \nL 259.582359 186.560516 \nL 251.984048 192.96967 \nL 244.26118 199.164164 \nL 237.567556 204.269494 \nL 230.825772 209.157958 \nL 224.053231 213.803844 \nL 217.265777 218.182761 \nL 210.477755 222.271841 \nL 204.830022 225.442705 \nL 199.197731 228.386376 \nL 193.587151 231.092663 \nL 188.004057 233.552448 \nL 182.453805 235.757753 \nL 176.941397 237.701783 \nL 171.471569 239.378997 \nL 166.04886 240.785151 \nL 160.677663 241.917271 \nL 155.362341 242.773753 \nL 150.107292 243.354332 \nL 144.91699 243.66008 \nL 139.79609 243.693395 \nL 134.749479 243.457999 \nL 129.782349 242.95892 \nL 124.900227 242.202393 \nL 120.109036 241.195893 \nL 115.415145 239.94801 \nL 110.825424 238.468414 \nL 106.347215 236.767786 \nL 101.988349 234.8577 \nL 97.757264 232.75058 \nL 93.662879 230.459596 \nL 89.714626 227.998527 \nL 85.922452 225.381701 \nL 82.296785 222.623878 \nL 78.848474 219.740133 \nL 75.588749 216.745771 \nL 72.529202 213.656186 \nL 69.681633 210.486784 \nL 67.058093 207.252867 \nL 64.670724 203.96953 \nL 62.531703 200.651562 \nL 60.653126 197.313354 \nL 59.046919 193.968819 \nL 57.724779 190.631307 \nL 56.698013 187.313521 \nL 56.096586 184.681578 \nL 55.696458 182.075743 \nL 55.502636 179.501472 \nL 55.519832 176.963875 \nL 55.752482 174.467704 \nL 56.204587 172.017337 \nL 56.879749 169.616783 \nL 57.781192 167.269658 \nL 58.911672 164.9792 \nL 60.273464 162.748255 \nL 61.868306 160.579286 \nL 63.697478 158.474378 \nL 65.761689 156.435241 \nL 68.061089 154.46322 \nL 70.595264 152.559311 \nL 73.363233 150.724167 \nL 76.363417 148.958122 \nL 80.436799 146.847744 \nL 84.864015 144.844777 \nL 89.638021 142.94801 \nL 94.750369 141.155672 \nL 100.191168 139.465497 \nL 107.137696 137.568356 \nL 114.518766 135.80923 \nL 122.309558 134.182408 \nL 130.482665 132.681918 \nL 140.461219 131.08297 \nL 150.868177 129.638453 \nL 163.215595 128.165654 \nL 175.962938 126.872183 \nL 190.666474 125.620675 \nL 205.621554 124.577419 \nL 220.686132 123.740114 \nL 227.378836 123.43481 \nL 227.378836 123.43481 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482812 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482812 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p6aa929bded\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Y\n",
-    "plt.plot(result_np[:,0], result_np[:,2])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Initial conditions (0, 0.427001854016272, 0.095, 0.096)"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_init = {\"x\":0., \"x_\": 0.427001854016272, \"y\": 0.095, \"y_\": 0.096}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"alpha\": 2.}\n",
-    "\n",
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=torch.optim.SGD,\n",
-    "    optimizer_args={\"lr\": 0.01}\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(100000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000,  0.4270,  0.0950,  0.0960],\n",
-       "        [ 0.0043,  0.4270,  0.0960,  0.0951],\n",
-       "        [ 0.0085,  0.4269,  0.0969,  0.0943],\n",
-       "        ...,\n",
-       "        [-0.1285, -0.1269, -0.2972,  0.2671],\n",
-       "        [-0.1298, -0.1264, -0.2945,  0.2708],\n",
-       "        [-0.1310, -0.1258, -0.2918,  0.2744]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 27
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-19T22:55:30.449604</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mec53ba22d4\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"75.173178\" xlink:href=\"#mec53ba22d4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −0.4 -->\n      <g transform=\"translate(63.031772 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"146.108579\" xlink:href=\"#mec53ba22d4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −0.2 -->\n      <g transform=\"translate(133.967173 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"217.043981\" xlink:href=\"#mec53ba22d4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.0 -->\n      <g transform=\"translate(209.092418 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"287.979382\" xlink:href=\"#mec53ba22d4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.2 -->\n      <g transform=\"translate(280.027819 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"358.914783\" xlink:href=\"#mec53ba22d4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.4 -->\n      <g transform=\"translate(350.96322 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_6\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m058867b534\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m058867b534\" y=\"267.29556\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- −0.4 -->\n      <g transform=\"translate(7.2 271.094778)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m058867b534\" y=\"211.587196\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.2 -->\n      <g transform=\"translate(7.2 215.386415)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m058867b534\" y=\"155.878833\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 159.678052)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m058867b534\" y=\"100.170469\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.2 -->\n      <g transform=\"translate(15.579688 103.969688)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m058867b534\" y=\"44.462106\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.4 -->\n      <g transform=\"translate(15.579688 48.261325)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_11\">\n    <path clip-path=\"url(#p828dcfea88)\" d=\"M 217.043981 129.417361 \nL 232.1585 126.867029 \nL 247.090161 124.582268 \nL 261.653891 122.595843 \nL 274.294168 121.095437 \nL 286.355314 119.900574 \nL 296.487552 119.122831 \nL 304.829246 118.682316 \nL 312.626237 118.483295 \nL 319.829489 118.541951 \nL 325.497251 118.808926 \nL 330.670929 119.285265 \nL 334.588795 119.847874 \nL 338.136893 120.565342 \nL 341.305638 121.441018 \nL 344.087048 122.477553 \nL 346.029016 123.423905 \nL 347.716558 124.47505 \nL 349.147943 125.631238 \nL 350.322123 126.892364 \nL 351.238718 128.257937 \nL 351.898097 129.727088 \nL 352.301234 131.29855 \nL 352.449819 132.970651 \nL 352.346178 134.74131 \nL 351.993239 136.608045 \nL 351.394554 138.567965 \nL 350.554234 140.617775 \nL 349.171166 143.300783 \nL 347.428055 146.110378 \nL 345.336192 149.03757 \nL 342.907921 152.072483 \nL 339.568605 155.84144 \nL 335.788184 159.730077 \nL 331.592186 163.716945 \nL 327.007066 167.779302 \nL 322.059928 171.893299 \nL 315.867324 176.725166 \nL 309.262916 181.553134 \nL 302.289878 186.33595 \nL 294.990363 191.032069 \nL 288.504759 194.956973 \nL 281.833986 198.762227 \nL 275.0017 202.422867 \nL 268.03039 205.914813 \nL 260.941381 209.215115 \nL 253.754758 212.302121 \nL 246.489422 215.155739 \nL 239.163109 217.757623 \nL 233.023306 219.72164 \nL 226.86183 221.490964 \nL 220.68734 223.05825 \nL 214.508109 224.417247 \nL 208.332073 225.562874 \nL 202.166902 226.49123 \nL 196.020054 227.199637 \nL 189.898844 227.686635 \nL 183.810505 227.952024 \nL 177.762258 227.996809 \nL 171.761377 227.823264 \nL 165.815228 227.434851 \nL 159.931369 226.836219 \nL 154.117581 226.033145 \nL 148.381879 225.032523 \nL 142.732626 223.842277 \nL 137.178531 222.471306 \nL 131.728658 220.92943 \nL 125.339771 218.868638 \nL 119.131756 216.596946 \nL 113.12263 214.135535 \nL 107.331197 211.5067 \nL 101.777013 208.733608 \nL 96.480371 205.840078 \nL 91.462105 202.850303 \nL 86.743474 199.78862 \nL 82.346039 196.679251 \nL 78.291448 193.546061 \nL 74.601254 190.412331 \nL 71.29663 187.300515 \nL 68.39826 184.232045 \nL 66.307633 181.722717 \nL 64.523849 179.268503 \nL 63.057287 176.879606 \nL 61.917576 174.565437 \nL 61.247109 172.773684 \nL 60.795655 171.039223 \nL 60.566948 169.365643 \nL 60.564327 167.756153 \nL 60.790687 166.213562 \nL 61.248451 164.740287 \nL 61.939594 163.33834 \nL 62.865564 162.009337 \nL 64.027314 160.75449 \nL 65.425265 159.574625 \nL 67.059344 158.470179 \nL 68.928873 157.441214 \nL 71.595058 156.26066 \nL 74.623769 155.196189 \nL 78.010164 154.24564 \nL 81.748114 153.406097 \nL 86.687187 152.540058 \nL 92.10657 151.821258 \nL 99.012588 151.157366 \nL 106.516246 150.667267 \nL 115.777166 150.299071 \nL 126.997696 150.099056 \nL 140.350833 150.099655 \nL 157.41506 150.343344 \nL 179.967802 150.911011 \nL 211.285784 151.936728 \nL 249.06729 153.393138 \nL 274.826229 154.590209 \nL 293.427802 155.669834 \nL 308.171205 156.754083 \nL 319.42723 157.79646 \nL 328.749014 158.866753 \nL 336.333797 159.931683 \nL 343.351383 161.130771 \nL 348.893677 162.274924 \nL 353.98328 163.534016 \nL 358.607203 164.914176 \nL 362.096964 166.160427 \nL 365.250953 167.49644 \nL 368.065438 168.923726 \nL 370.537818 170.44306 \nL 372.666698 172.054432 \nL 374.122257 173.409265 \nL 375.358166 174.821668 \nL 376.375252 176.290464 \nL 377.174814 177.814117 \nL 377.758542 179.390721 \nL 378.128584 181.01801 \nL 378.287443 182.693344 \nL 378.238017 184.413725 \nL 377.98355 186.175797 \nL 377.527626 187.975856 \nL 376.680371 190.27316 \nL 375.532628 192.614862 \nL 374.093231 194.991601 \nL 372.371493 197.393311 \nL 370.377225 199.809273 \nL 368.120551 202.228191 \nL 365.080868 205.118152 \nL 361.696682 207.97414 \nL 357.986542 210.774265 \nL 353.968989 213.496144 \nL 349.662405 216.117142 \nL 345.084864 218.614597 \nL 340.253966 220.966059 \nL 335.18674 223.149518 \nL 329.89958 225.143655 \nL 325.336922 226.646047 \nL 320.641069 227.991546 \nL 315.820276 229.169551 \nL 310.882482 230.170194 \nL 305.835191 230.9844 \nL 300.685607 231.603918 \nL 295.440595 232.021476 \nL 290.10672 232.230741 \nL 284.690312 232.226449 \nL 279.197482 232.004401 \nL 273.634186 231.561499 \nL 268.0063 230.895801 \nL 262.319629 230.006528 \nL 256.580022 228.894076 \nL 250.793409 227.559975 \nL 244.965868 226.006963 \nL 239.103697 224.238892 \nL 233.213472 222.260767 \nL 226.117959 219.618386 \nL 219.004811 216.694863 \nL 211.887781 213.504789 \nL 204.781735 210.064708 \nL 197.702767 206.392946 \nL 190.668288 202.509452 \nL 183.697089 198.435642 \nL 175.67104 193.472612 \nL 167.793208 188.319206 \nL 160.100693 183.014738 \nL 152.633017 177.599581 \nL 145.43189 172.114716 \nL 138.540882 166.601274 \nL 132.004995 161.100072 \nL 125.870205 155.651167 \nL 120.182889 150.293435 \nL 114.989126 145.064151 \nL 110.964502 140.710955 \nL 107.363225 136.498973 \nL 104.211625 132.44767 \nL 101.946664 129.207303 \nL 100.024463 126.100494 \nL 98.457273 123.135902 \nL 97.256139 120.321316 \nL 96.565397 118.182318 \nL 96.119536 116.146862 \nL 95.922306 114.217681 \nL 95.976775 112.397126 \nL 96.285372 110.687179 \nL 96.849831 109.089441 \nL 97.671146 107.605142 \nL 98.749591 106.235146 \nL 100.084713 104.979972 \nL 101.675295 103.839791 \nL 103.519383 102.814448 \nL 105.614248 101.903467 \nL 107.956446 101.106075 \nL 111.225512 100.267451 \nL 114.864631 99.60204 \nL 118.86228 99.106646 \nL 123.205299 98.777578 \nL 128.851989 98.596417 \nL 134.946523 98.641011 \nL 141.457865 98.903018 \nL 149.536319 99.471815 \nL 158.079254 100.310493 \nL 167.026171 101.404885 \nL 177.664732 102.951069 \nL 188.650934 104.793735 \nL 199.885463 106.914976 \nL 211.268484 109.298855 \nL 222.701011 111.931657 \nL 234.086187 114.801994 \nL 243.935755 117.501168 \nL 253.617499 120.370422 \nL 263.074647 123.406077 \nL 272.253982 126.605333 \nL 279.863452 129.476141 \nL 287.204101 132.464452 \nL 294.249921 135.569196 \nL 300.977487 138.789221 \nL 307.366052 142.123115 \nL 312.417793 144.987052 \nL 317.212551 147.92748 \nL 321.742716 150.942728 \nL 326.001967 154.030741 \nL 329.985315 157.189021 \nL 333.68907 160.414576 \nL 337.110812 163.703876 \nL 340.249358 167.052815 \nL 343.104686 170.456671 \nL 345.677948 173.910089 \nL 347.971342 177.407051 \nL 349.988094 180.940867 \nL 351.732367 184.504173 \nL 353.209193 188.088923 \nL 354.424396 191.686419 \nL 355.384497 195.287311 \nL 356.096664 198.88164 \nL 356.568571 202.458848 \nL 356.808356 206.007853 \nL 356.824518 209.517079 \nL 356.62583 212.974513 \nL 356.221266 216.367779 \nL 355.619875 219.684189 \nL 354.830746 222.910834 \nL 353.862938 226.034656 \nL 352.725363 229.042543 \nL 351.426772 231.921389 \nL 349.975632 234.658217 \nL 348.380113 237.240237 \nL 346.648049 239.654946 \nL 344.786827 241.890258 \nL 342.803435 243.934518 \nL 340.704384 245.776644 \nL 338.495698 247.406202 \nL 336.182876 248.81347 \nL 333.770925 249.989516 \nL 331.264309 250.926298 \nL 328.666978 251.616675 \nL 325.98237 252.054505 \nL 323.213454 252.234657 \nL 320.362703 252.153081 \nL 317.432179 251.806805 \nL 314.42352 251.194003 \nL 311.338005 250.31396 \nL 308.176575 249.167101 \nL 304.939895 247.754985 \nL 301.628432 246.080269 \nL 298.242459 244.146722 \nL 294.081157 241.491651 \nL 289.813011 238.481124 \nL 285.438286 235.127426 \nL 280.20042 230.799989 \nL 274.81966 226.050212 \nL 268.498586 220.141178 \nL 262.000414 213.763791 \nL 254.489971 206.091492 \nL 245.050401 196.104671 \nL 233.590658 183.622866 \nL 219.198388 167.592715 \nL 202.08046 148.185466 \nL 187.235646 131.040383 \nL 176.540135 118.382452 \nL 168.157965 108.139618 \nL 161.882787 100.157622 \nL 156.82695 93.409549 \nL 152.329087 87.022699 \nL 148.898904 81.753853 \nL 146.364393 77.489214 \nL 144.227363 73.46707 \nL 142.764331 70.30674 \nL 141.600991 67.325117 \nL 140.746068 64.525955 \nL 140.206872 61.912457 \nL 140.00682 59.957128 \nL 140.014864 58.123428 \nL 140.232605 56.412253 \nL 140.660962 54.824276 \nL 141.300147 53.359971 \nL 142.149679 52.019643 \nL 143.208343 50.803386 \nL 144.474214 49.711131 \nL 145.944645 48.742639 \nL 147.61629 47.897528 \nL 149.485091 47.175283 \nL 152.091041 46.444247 \nL 154.986831 45.902644 \nL 158.160164 45.548722 \nL 161.597196 45.380557 \nL 165.282723 45.396063 \nL 170.009996 45.654015 \nL 175.040422 46.169386 \nL 180.341022 46.938209 \nL 185.876979 47.956575 \nL 191.61199 49.220697 \nL 197.50861 50.726923 \nL 203.528622 52.471859 \nL 209.633411 54.452341 \nL 215.784336 56.665464 \nL 221.943083 59.108555 \nL 228.072024 61.779207 \nL 234.134553 64.675144 \nL 240.095398 67.794243 \nL 245.920933 71.134385 \nL 250.649231 74.085161 \nL 255.244271 77.186603 \nL 259.689951 80.437259 \nL 263.97137 83.835485 \nL 268.074896 87.379397 \nL 271.98821 91.066837 \nL 275.700353 94.895285 \nL 279.201758 98.861823 \nL 282.48427 102.963065 \nL 285.541145 107.195121 \nL 288.367034 111.553533 \nL 290.957975 116.033231 \nL 293.311371 120.628477 \nL 295.42595 125.332839 \nL 297.301701 130.139135 \nL 298.939812 135.039424 \nL 300.342641 140.024977 \nL 301.513597 145.086246 \nL 302.457093 150.212881 \nL 303.178435 155.39371 \nL 303.683754 160.616752 \nL 303.979894 165.869238 \nL 304.074328 171.137627 \nL 303.975058 176.407652 \nL 303.612151 182.71273 \nL 302.997685 188.971539 \nL 302.147323 195.15587 \nL 301.077006 201.236531 \nL 299.802684 207.183564 \nL 298.340154 212.966444 \nL 296.704881 218.554368 \nL 294.911826 223.916498 \nL 292.975334 229.022247 \nL 290.908977 233.841554 \nL 288.725486 238.345217 \nL 286.436668 242.505194 \nL 284.456684 245.69003 \nL 282.416811 248.603192 \nL 280.322273 251.231126 \nL 278.177807 253.561329 \nL 275.987662 255.582487 \nL 273.755616 257.284505 \nL 271.942061 258.410404 \nL 270.10532 259.322606 \nL 268.246725 260.017847 \nL 266.367449 260.493514 \nL 264.468529 260.747605 \nL 262.550852 260.77876 \nL 260.615197 260.586255 \nL 258.662232 260.170016 \nL 256.692533 259.530634 \nL 254.706607 258.66931 \nL 252.704894 257.587905 \nL 250.181151 255.930498 \nL 247.634079 253.939307 \nL 245.064382 251.621963 \nL 242.472797 248.987438 \nL 239.86015 246.04601 \nL 236.69855 242.12744 \nL 233.510052 237.80549 \nL 230.297198 233.104176 \nL 226.52234 227.174335 \nL 222.724945 220.80688 \nL 218.367578 213.05276 \nL 214.005484 204.857773 \nL 209.114539 195.201676 \nL 203.736245 184.052082 \nL 198.464784 172.59582 \nL 193.357431 160.96945 \nL 188.478804 149.302959 \nL 184.342014 138.86949 \nL 180.502611 128.583977 \nL 177.385241 119.626137 \nL 174.587708 110.892003 \nL 172.43334 103.466955 \nL 170.579713 96.271759 \nL 169.248666 90.304833 \nL 168.170591 84.536496 \nL 167.358472 78.978133 \nL 166.823847 73.639735 \nL 166.597502 69.365418 \nL 166.575532 65.254244 \nL 166.761752 61.309973 \nL 167.158944 57.535811 \nL 167.768818 53.93443 \nL 168.591945 50.508021 \nL 169.627756 47.258361 \nL 170.874463 44.186779 \nL 172.32905 41.29422 \nL 173.9873 38.581323 \nL 175.843746 36.04843 \nL 177.891714 33.695606 \nL 180.123342 31.522728 \nL 182.529592 29.529462 \nL 185.10032 27.715385 \nL 187.824313 26.079934 \nL 190.68936 24.622485 \nL 193.682317 23.342383 \nL 196.789193 22.238997 \nL 199.995241 21.311696 \nL 203.285046 20.559898 \nL 207.320844 19.888705 \nL 211.425769 19.468823 \nL 215.570696 19.299802 \nL 219.72612 19.381411 \nL 223.862442 19.713699 \nL 227.950258 20.296933 \nL 231.960654 21.131651 \nL 235.223173 22.01987 \nL 238.396613 23.083743 \nL 241.465832 24.32385 \nL 244.416389 25.740814 \nL 247.234647 27.335274 \nL 249.90784 29.107828 \nL 252.424176 31.05904 \nL 254.772882 33.189383 \nL 256.944265 35.499215 \nL 258.929779 37.988743 \nL 260.722038 40.657933 \nL 262.314867 43.506562 \nL 263.703294 46.534099 \nL 264.8836 49.739712 \nL 265.853257 53.122208 \nL 266.610955 56.679975 \nL 267.156578 60.410971 \nL 267.491125 64.312697 \nL 267.616725 68.382125 \nL 267.53655 72.6157 \nL 267.254749 77.009256 \nL 266.657659 82.486001 \nL 265.78797 88.176855 \nL 264.657603 94.071009 \nL 263.279852 100.15624 \nL 261.379098 107.478835 \nL 259.1857 115.018464 \nL 256.353534 123.865977 \nL 253.211986 132.916326 \nL 249.357357 143.278182 \nL 245.217135 153.755635 \nL 240.347069 165.429451 \nL 235.259416 177.015849 \nL 230.016628 188.381696 \nL 225.211107 198.307617 \nL 220.359137 207.838665 \nL 216.030986 215.894952 \nL 211.706265 223.484554 \nL 207.935956 229.687272 \nL 204.186501 235.433582 \nL 200.993903 239.963286 \nL 197.824152 244.101123 \nL 194.679724 247.823893 \nL 192.080171 250.59391 \nL 189.500575 253.050183 \nL 186.941786 255.183075 \nL 184.404595 256.984342 \nL 181.889768 258.447129 \nL 179.894542 259.369964 \nL 177.914596 260.070635 \nL 175.950423 260.547712 \nL 174.002589 260.800434 \nL 172.071755 260.828658 \nL 170.15866 260.632908 \nL 168.264163 260.21437 \nL 166.389253 259.574838 \nL 164.535066 258.716768 \nL 162.70287 257.643233 \nL 160.894103 256.357901 \nL 158.668564 254.459925 \nL 156.485691 252.247242 \nL 154.349501 249.730685 \nL 152.264472 246.922292 \nL 150.235559 243.835219 \nL 148.268228 240.483604 \nL 145.997121 236.133688 \nL 143.834485 231.451956 \nL 141.792454 226.467148 \nL 139.88409 221.209023 \nL 138.123264 215.708042 \nL 136.524553 209.995066 \nL 135.10311 204.101086 \nL 133.874541 198.056941 \nL 132.854701 191.893048 \nL 132.059574 185.639168 \nL 131.504982 179.324183 \nL 131.206448 172.975913 \nL 131.164083 167.679473 \nL 131.31818 162.39305 \nL 131.676526 157.130578 \nL 132.246313 151.905239 \nL 133.034078 146.729429 \nL 134.045598 141.614742 \nL 135.285784 136.571955 \nL 136.758625 131.611023 \nL 138.467054 126.741087 \nL 140.412927 121.970487 \nL 142.596915 117.306783 \nL 145.018458 112.756775 \nL 147.675711 108.326544 \nL 150.565476 104.021487 \nL 153.683209 99.846348 \nL 157.022958 95.805286 \nL 160.577367 91.90192 \nL 164.337673 88.139371 \nL 168.293712 84.520341 \nL 172.433969 81.047122 \nL 176.745564 77.721722 \nL 181.21434 74.54586 \nL 185.824902 71.521047 \nL 190.5607 68.648643 \nL 196.384056 65.404703 \nL 202.329954 62.384073 \nL 208.364254 59.588771 \nL 214.451305 57.020888 \nL 220.554241 54.682683 \nL 226.635313 52.576537 \nL 232.656228 50.705108 \nL 238.578511 49.0713 \nL 244.363858 47.678285 \nL 249.974525 46.529442 \nL 255.373666 45.628372 \nL 260.525723 44.97882 \nL 265.396762 44.58463 \nL 269.954821 44.449644 \nL 274.170222 44.577632 \nL 277.401653 44.887765 \nL 280.362059 45.384956 \nL 283.038708 46.070992 \nL 285.420428 46.947407 \nL 287.106956 47.7865 \nL 288.594442 48.748799 \nL 289.879439 49.834703 \nL 290.959233 51.044469 \nL 291.831803 52.378188 \nL 292.495833 53.83577 \nL 292.950759 55.416956 \nL 293.19668 57.121316 \nL 293.23441 58.948184 \nL 293.065445 60.896723 \nL 292.691947 62.96587 \nL 291.941775 65.719924 \nL 290.883265 68.657442 \nL 289.524656 71.774864 \nL 287.511763 75.747425 \nL 285.099411 79.96497 \nL 282.308677 84.418129 \nL 278.605382 89.897194 \nL 273.831304 96.510049 \nL 267.844312 104.359454 \nL 260.535181 113.531347 \nL 251.026643 125.058827 \nL 239.191502 139.040414 \nL 223.297071 157.462543 \nL 206.300603 176.838858 \nL 193.083404 191.604715 \nL 182.787188 202.803352 \nL 174.453107 211.569362 \nL 167.169672 218.925099 \nL 160.880452 224.977748 \nL 155.525621 229.859538 \nL 150.312003 234.323845 \nL 145.956769 237.79787 \nL 141.706894 240.93069 \nL 137.562599 243.70924 \nL 133.523996 246.122439 \nL 130.239344 247.847792 \nL 127.028413 249.309101 \nL 123.89158 250.503443 \nL 120.829415 251.428985 \nL 117.842784 252.085053 \nL 114.932872 252.472104 \nL 112.101232 252.591741 \nL 109.349788 252.446703 \nL 106.68094 252.040841 \nL 104.097541 251.379086 \nL 101.602921 250.467433 \nL 99.200939 249.312845 \nL 96.895949 247.923266 \nL 94.692865 246.307522 \nL 92.597091 244.475241 \nL 90.614576 242.436792 \nL 88.751737 240.20324 \nL 87.015445 237.786206 \nL 85.413098 235.19782 \nL 83.952423 232.450606 \nL 82.641571 229.557408 \nL 81.488986 226.531291 \nL 80.50341 223.385471 \nL 79.693722 220.133176 \nL 79.069002 216.787612 \nL 78.638362 213.361839 \nL 78.410912 209.868721 \nL 78.39567 206.320825 \nL 78.601493 202.730368 \nL 79.036953 199.109134 \nL 79.710307 195.468434 \nL 80.629364 191.819051 \nL 81.801388 188.171186 \nL 83.233058 184.534427 \nL 84.930368 180.917719 \nL 86.898507 177.329348 \nL 89.141809 173.776927 \nL 91.663711 170.267386 \nL 94.466579 166.806981 \nL 97.551745 163.401302 \nL 100.91941 160.055297 \nL 104.568581 156.773293 \nL 108.497027 153.559028 \nL 112.701249 150.415696 \nL 117.17646 147.345984 \nL 121.916517 144.352126 \nL 126.913959 141.435958 \nL 132.159986 138.598969 \nL 138.768965 135.300781 \nL 145.701145 132.120015 \nL 152.93375 129.058048 \nL 160.441387 126.116101 \nL 168.196139 123.295401 \nL 177.515117 120.159679 \nL 187.077148 117.193551 \nL 196.826527 114.400482 \nL 206.704241 111.784925 \nL 218.070797 109.020337 \nL 229.428345 106.505404 \nL 240.678418 104.252809 \nL 251.721158 102.277461 \nL 262.456656 100.596336 \nL 271.520669 99.381374 \nL 280.209653 98.419336 \nL 288.461685 97.724065 \nL 296.217975 97.309587 \nL 302.429848 97.188294 \nL 308.20504 97.291839 \nL 313.514229 97.628124 \nL 317.563534 98.091385 \nL 321.257396 98.72504 \nL 324.583964 99.532331 \nL 327.533039 100.51596 \nL 329.614819 101.431241 \nL 331.446127 102.461486 \nL 333.024247 103.60715 \nL 334.347223 104.868379 \nL 335.41382 106.244999 \nL 336.223603 107.736496 \nL 336.776857 109.341992 \nL 337.074567 111.060268 \nL 337.118486 112.889723 \nL 336.911035 114.828391 \nL 336.455323 116.873938 \nL 335.7551 119.023636 \nL 334.814711 121.274397 \nL 333.309103 124.224651 \nL 331.446877 127.319805 \nL 329.240094 130.551413 \nL 326.701894 133.910197 \nL 323.238484 138.094359 \nL 319.344074 142.42823 \nL 315.045882 146.891497 \nL 309.558734 152.233271 \nL 303.606449 157.685389 \nL 297.235505 163.209781 \nL 290.492241 168.766997 \nL 283.422274 174.316625 \nL 276.069972 179.817726 \nL 268.477974 185.229278 \nL 260.686877 190.51063 \nL 252.73489 195.621957 \nL 244.657707 200.524728 \nL 237.659879 204.533142 \nL 230.613639 208.339301 \nL 223.536839 211.922632 \nL 216.445962 215.26409 \nL 209.356222 218.34634 \nL 202.281657 221.153915 \nL 195.235251 223.673344 \nL 189.393491 225.544512 \nL 183.586253 227.202277 \nL 177.819803 228.642368 \nL 172.100162 229.861647 \nL 166.433183 230.858122 \nL 160.824609 231.630971 \nL 155.280139 232.180519 \nL 149.805489 232.508275 \nL 144.40647 232.616871 \nL 139.088989 232.510068 \nL 133.859187 232.192705 \nL 128.723419 231.670668 \nL 123.688315 230.950855 \nL 118.760816 230.041102 \nL 113.948216 228.950109 \nL 109.258166 227.687423 \nL 104.698668 226.263295 \nL 99.411455 224.356682 \nL 94.339557 222.253325 \nL 89.498934 219.974162 \nL 84.906225 217.540875 \nL 80.578638 214.975669 \nL 76.533888 212.301025 \nL 72.790051 209.539475 \nL 69.365444 206.713376 \nL 66.278417 203.844666 \nL 63.547184 200.95466 \nL 61.555885 198.544865 \nL 59.83419 196.145853 \nL 58.391855 193.768379 \nL 57.238202 191.42257 \nL 56.382048 189.117872 \nL 55.916885 187.309584 \nL 55.651319 185.537281 \nL 55.588966 183.804725 \nL 55.733112 182.115328 \nL 56.086695 180.472157 \nL 56.652307 178.877917 \nL 57.432134 177.334949 \nL 58.427963 175.845234 \nL 59.641157 174.410383 \nL 61.072647 173.031656 \nL 62.722909 171.70995 \nL 65.093392 170.138812 \nL 67.804765 168.657944 \nL 70.854922 167.26689 \nL 74.240567 165.964445 \nL 77.95726 164.748706 \nL 82.846358 163.400643 \nL 88.192278 162.168237 \nL 93.980931 161.044951 \nL 101.272042 159.862456 \nL 109.113893 158.805516 \nL 118.707511 157.733743 \nL 130.23909 156.676489 \nL 143.867109 155.651611 \nL 161.17499 154.578821 \nL 183.919764 153.400687 \nL 216.913792 151.935125 \nL 252.999182 150.550596 \nL 277.05735 149.828417 \nL 294.085189 149.512698 \nL 307.400489 149.459491 \nL 318.580683 149.618423 \nL 327.800497 149.955343 \nL 335.263934 150.422243 \nL 342.125758 151.066888 \nL 347.504044 151.772349 \nL 352.399019 152.62795 \nL 356.795555 153.641051 \nL 360.069474 154.610022 \nL 362.982684 155.695325 \nL 365.530672 156.898915 \nL 367.303939 157.947743 \nL 368.840402 159.073194 \nL 370.139607 160.275077 \nL 371.201637 161.552819 \nL 372.027106 162.905458 \nL 372.617145 164.331634 \nL 372.973434 165.829587 \nL 373.098099 167.397155 \nL 372.993761 169.031777 \nL 372.663495 170.73049 \nL 372.110832 172.489936 \nL 371.339683 174.306377 \nL 370.075118 176.650773 \nL 368.485085 179.068929 \nL 366.579553 181.551177 \nL 364.369134 184.087046 \nL 361.865054 186.665347 \nL 358.488965 189.798583 \nL 354.72775 192.954231 \nL 350.602846 196.109681 \nL 346.136028 199.241526 \nL 341.349176 202.325776 \nL 336.264044 205.338096 \nL 330.902078 208.254056 \nL 325.284325 211.049388 \nL 319.431215 213.700208 \nL 313.362483 216.183302 \nL 307.097072 218.476345 \nL 300.653109 220.558147 \nL 295.159232 222.117277 \nL 289.562915 223.505278 \nL 283.873305 224.712355 \nL 278.09917 225.72962 \nL 272.248919 226.549189 \nL 266.33067 227.164224 \nL 260.352251 227.568982 \nL 254.321281 227.758863 \nL 248.245209 227.730465 \nL 242.131372 227.481603 \nL 235.98706 227.011291 \nL 229.81959 226.319827 \nL 223.636346 225.408742 \nL 217.444868 224.28078 \nL 211.252902 222.939917 \nL 205.06847 221.391321 \nL 198.899927 219.641309 \nL 192.756016 217.697307 \nL 185.428789 215.120475 \nL 178.167055 212.293139 \nL 170.98868 209.233772 \nL 163.912677 205.962562 \nL 156.959273 202.501255 \nL 150.149861 198.872878 \nL 143.507009 195.101576 \nL 137.054426 191.212342 \nL 129.799909 186.560071 \nL 122.878828 181.823498 \nL 116.333275 177.044134 \nL 110.206238 172.263155 \nL 105.320492 168.194498 \nL 100.801351 164.178965 \nL 96.675676 160.240279 \nL 92.96968 156.401026 \nL 89.708584 152.682479 \nL 87.348131 149.690214 \nL 85.326243 146.806121 \nL 83.65502 144.039936 \nL 82.345521 141.400506 \nL 81.56507 139.385576 \nL 81.027026 137.460465 \nL 80.735341 135.628384 \nL 80.693409 133.892139 \nL 80.90401 132.254129 \nL 81.369342 130.71634 \nL 82.090916 129.280354 \nL 83.0696 127.947352 \nL 84.305574 126.718116 \nL 85.79835 125.593044 \nL 87.546714 124.572158 \nL 89.548794 123.655114 \nL 91.802001 122.841224 \nL 94.966634 121.967337 \nL 98.510641 121.250346 \nL 102.424522 120.686888 \nL 106.697239 120.272974 \nL 112.280386 119.967241 \nL 118.337702 119.861546 \nL 125.967525 119.978319 \nL 134.158292 120.338275 \nL 144.139884 121.025954 \nL 154.704422 121.984132 \nL 167.177637 123.354578 \nL 180.148811 125.002564 \nL 194.983461 127.122305 \nL 210.084369 129.511295 \nL 225.268415 132.140725 \nL 240.356799 134.989443 \nL 253.71252 137.729538 \nL 266.733162 140.631532 \nL 277.936061 143.34644 \nL 288.714699 146.190623 \nL 297.746098 148.78801 \nL 306.362263 151.489941 \nL 314.52734 154.299585 \nL 321.142857 156.795902 \nL 327.386272 159.375253 \nL 333.242648 162.038863 \nL 338.699386 164.787374 \nL 342.934051 167.142611 \nL 346.879515 169.55624 \nL 350.532364 172.027267 \nL 353.890284 174.554174 \nL 356.952047 177.134878 \nL 359.717518 179.76669 \nL 362.187562 182.446289 \nL 364.36404 185.169692 \nL 366.249752 187.932252 \nL 367.848368 190.728632 \nL 369.164368 193.552822 \nL 370.203007 196.398131 \nL 370.970202 199.257203 \nL 371.472487 202.122052 \nL 371.716913 204.984063 \nL 371.711036 207.834053 \nL 371.462763 210.662316 \nL 370.980328 213.458639 \nL 370.272167 216.212394 \nL 369.346895 218.912589 \nL 368.213198 221.547923 \nL 366.879757 224.106874 \nL 365.355239 226.577745 \nL 363.648152 228.948756 \nL 361.766825 231.208158 \nL 359.719357 233.344271 \nL 357.513568 235.345556 \nL 355.156974 237.200756 \nL 352.656667 238.898915 \nL 350.019382 240.429514 \nL 347.251438 241.782509 \nL 344.358734 242.948411 \nL 341.346692 243.918381 \nL 338.220303 244.684274 \nL 334.984099 245.238727 \nL 331.642204 245.575191 \nL 328.198296 245.687971 \nL 324.655651 245.572302 \nL 321.017209 245.224383 \nL 317.28557 244.64139 \nL 313.463027 243.821481 \nL 309.551641 242.763834 \nL 305.553231 241.46869 \nL 301.46953 239.93727 \nL 296.45878 237.790921 \nL 291.3303 235.313414 \nL 286.086937 232.512533 \nL 280.731826 229.398025 \nL 275.268518 225.98147 \nL 268.763491 221.631595 \nL 262.124841 216.912724 \nL 255.362274 211.851511 \nL 247.497161 205.68546 \nL 238.500964 198.317956 \nL 229.384609 190.56288 \nL 219.170414 181.582379 \nL 207.919375 171.384004 \nL 196.768049 160.989811 \nL 184.8794 149.596098 \nL 174.402843 139.253639 \nL 165.375873 130.053855 \nL 157.771577 122.021838 \nL 150.764074 114.293334 \nL 145.117205 107.728091 \nL 140.681865 102.251221 \nL 136.76456 97.04961 \nL 133.850504 92.826793 \nL 131.371354 88.834637 \nL 129.653406 85.692013 \nL 128.263922 82.722867 \nL 127.212863 79.932148 \nL 126.621429 77.83095 \nL 126.2557 75.848575 \nL 126.118658 73.986634 \nL 126.212563 72.246471 \nL 126.539003 70.629158 \nL 127.098821 69.135491 \nL 127.892136 67.766019 \nL 128.91828 66.521072 \nL 130.175822 65.400735 \nL 131.662584 64.404857 \nL 133.375622 63.533083 \nL 135.311231 62.784855 \nL 137.464968 62.159451 \nL 140.455927 61.549031 \nL 143.767898 61.127015 \nL 147.387562 60.890995 \nL 151.30001 60.838308 \nL 156.358267 61.013006 \nL 161.783596 61.442236 \nL 167.542573 62.12051 \nL 173.599566 63.042241 \nL 179.917089 64.201852 \nL 187.564735 65.848086 \nL 195.450104 67.802353 \nL 203.508164 70.056849 \nL 211.673452 72.604352 \nL 218.708255 75.016123 \nL 225.733671 77.634535 \nL 232.710337 80.456111 \nL 239.600197 83.477662 \nL 246.366797 86.696188 \nL 252.975571 90.108759 \nL 259.394104 93.712481 \nL 264.575795 96.859426 \nL 269.588411 100.135147 \nL 274.4172 103.537603 \nL 279.04877 107.064518 \nL 283.471109 110.713341 \nL 287.673645 114.481157 \nL 291.647252 118.364662 \nL 295.38423 122.360087 \nL 298.878336 126.463153 \nL 302.124761 130.66901 \nL 305.120096 134.972208 \nL 307.862312 139.366629 \nL 310.350664 143.845483 \nL 312.58569 148.401253 \nL 314.569124 153.025682 \nL 316.303852 157.709756 \nL 317.793764 162.443699 \nL 319.043753 167.216969 \nL 320.05956 172.018271 \nL 320.847737 176.835568 \nL 321.415494 181.656125 \nL 321.770664 186.466523 \nL 321.921543 191.252719 \nL 321.876862 196.000101 \nL 321.577779 201.624371 \nL 321.026004 207.143954 \nL 320.237678 212.531171 \nL 319.228964 217.75781 \nL 318.015791 222.795431 \nL 316.613728 227.615568 \nL 315.037796 232.190015 \nL 313.302307 236.491087 \nL 311.42078 240.491914 \nL 309.750424 243.577957 \nL 307.994217 246.423357 \nL 306.158407 249.014682 \nL 304.248752 251.33934 \nL 302.270471 253.38575 \nL 300.22825 255.143362 \nL 298.12625 256.602786 \nL 296.404064 257.550094 \nL 294.647587 258.297707 \nL 292.858232 258.842573 \nL 291.037241 259.182216 \nL 289.185664 259.314711 \nL 287.30437 259.238739 \nL 285.394081 258.953568 \nL 283.455359 258.459041 \nL 281.488626 257.755623 \nL 279.494204 256.844343 \nL 276.962535 255.415467 \nL 274.388116 253.668829 \nL 271.770988 251.610175 \nL 269.111076 249.246634 \nL 265.862543 246.019753 \nL 262.55202 242.382527 \nL 259.17945 238.35385 \nL 255.166691 233.187013 \nL 251.070916 227.55223 \nL 246.291265 220.589787 \nL 240.79505 212.164968 \nL 234.554937 202.177542 \nL 226.916356 189.500615 \nL 217.876038 174.044425 \nL 207.540547 155.933752 \nL 197.453422 137.822709 \nL 189.661207 123.419319 \nL 183.50603 111.622724 \nL 178.37125 101.311791 \nL 174.207305 92.432773 \nL 170.927711 84.899324 \nL 168.42185 78.608796 \nL 166.286226 72.617311 \nL 164.770856 67.731021 \nL 163.562624 63.083324 \nL 162.675034 58.68111 \nL 162.188678 55.204338 \nL 161.938497 51.904896 \nL 161.928825 48.785133 \nL 162.162786 45.846951 \nL 162.64224 43.091818 \nL 163.202967 41.020264 \nL 163.920842 39.066951 \nL 164.794956 37.232147 \nL 165.823838 35.515983 \nL 167.005454 33.918477 \nL 168.337198 32.43952 \nL 169.81589 31.078946 \nL 171.437818 29.836473 \nL 173.660097 28.448962 \nL 176.089968 27.244691 \nL 178.716689 26.222773 \nL 181.528341 25.382236 \nL 184.511893 24.722083 \nL 187.653287 24.241295 \nL 190.93754 23.938849 \nL 195.04489 23.809981 \nL 199.306432 23.935014 \nL 203.692249 24.312552 \nL 208.171486 24.94145 \nL 212.712669 25.820788 \nL 217.284005 26.949883 \nL 221.853702 28.328321 \nL 226.390278 29.955861 \nL 230.862859 31.832487 \nL 234.519476 33.586711 \nL 238.094097 35.514132 \nL 241.570675 37.61489 \nL 244.933943 39.889085 \nL 248.169494 42.336816 \nL 251.263883 44.958034 \nL 254.204676 47.752606 \nL 256.980534 50.720175 \nL 259.581263 53.8602 \nL 261.997856 57.171853 \nL 264.222513 60.653988 \nL 266.248688 64.305069 \nL 268.071069 68.123194 \nL 269.685598 72.105957 \nL 271.089469 76.25046 \nL 272.281074 80.553251 \nL 273.259996 85.010261 \nL 274.026953 89.616801 \nL 274.583754 94.367503 \nL 274.933253 99.256296 \nL 275.079269 104.276351 \nL 275.026508 109.42009 \nL 274.780498 114.679148 \nL 274.23906 121.129267 \nL 273.440439 127.714819 \nL 272.397811 134.416721 \nL 271.125259 141.214219 \nL 269.637546 148.084915 \nL 267.650301 156.161133 \nL 265.415592 164.263535 \nL 262.958106 172.348807 \nL 260.30219 180.371308 \nL 257.471504 188.283414 \nL 254.48871 196.035904 \nL 251.375214 203.578409 \nL 248.150981 210.859942 \nL 244.834354 217.829429 \nL 241.441978 224.436323 \nL 237.988757 230.631209 \nL 234.990448 235.577027 \nL 231.96443 240.156546 \nL 228.917136 244.342804 \nL 226.365548 247.512814 \nL 223.805964 250.37895 \nL 221.240921 252.929044 \nL 218.672678 255.152178 \nL 216.103249 257.038806 \nL 214.048077 258.30033 \nL 211.99417 259.337814 \nL 209.942338 260.148417 \nL 207.89336 260.729965 \nL 205.848 261.080956 \nL 203.807025 261.200551 \nL 201.771216 261.088593 \nL 199.741386 260.745596 \nL 197.718402 260.172764 \nL 195.70319 259.371948 \nL 193.696756 258.345696 \nL 191.700204 257.09718 \nL 189.71474 255.630177 \nL 187.250544 253.495973 \nL 184.808654 251.037227 \nL 182.392322 248.265168 \nL 180.005186 245.192282 \nL 177.651303 241.832191 \nL 174.876888 237.441715 \nL 172.165444 232.685937 \nL 169.526552 227.59357 \nL 166.970709 222.194636 \nL 164.50937 216.520177 \nL 162.154885 210.601916 \nL 159.560641 203.431997 \nL 157.151989 196.025108 \nL 154.952283 188.431986 \nL 153.25148 181.813144 \nL 151.737574 175.124603 \nL 150.426277 168.395888 \nL 149.333223 161.655351 \nL 148.473782 154.930011 \nL 147.862808 148.245424 \nL 147.514457 141.625576 \nL 147.43434 136.17466 \nL 147.552816 130.796272 \nL 147.876248 125.501607 \nL 148.410244 120.301015 \nL 149.159581 115.204016 \nL 150.128108 110.219295 \nL 151.318682 105.354734 \nL 152.73308 100.617417 \nL 154.371952 96.013679 \nL 156.234749 91.549128 \nL 158.319678 87.228676 \nL 160.623675 83.056592 \nL 163.142374 79.036532 \nL 165.870056 75.171621 \nL 168.799703 71.464482 \nL 171.922958 67.917275 \nL 175.230154 64.531766 \nL 178.710344 61.309384 \nL 182.351347 58.251274 \nL 186.139783 55.358333 \nL 190.061155 52.631283 \nL 194.099911 50.070689 \nL 198.239533 47.677048 \nL 203.315672 45.025647 \nL 208.48046 42.61601 \nL 213.701064 40.448926 \nL 218.943616 38.525265 \nL 224.173534 36.846142 \nL 229.355844 35.412833 \nL 234.455517 34.226866 \nL 239.43781 33.29001 \nL 244.268602 32.604273 \nL 248.914744 32.171839 \nL 253.344373 31.995065 \nL 257.527236 32.076434 \nL 260.803939 32.343242 \nL 263.874304 32.792511 \nL 266.72422 33.425652 \nL 269.340841 34.243991 \nL 271.712656 35.24876 \nL 273.426999 36.187525 \nL 274.973647 37.246765 \nL 276.348708 38.426855 \nL 277.548912 39.728075 \nL 278.571621 41.150609 \nL 279.414848 42.69449 \nL 280.077235 44.359651 \nL 280.558062 46.145869 \nL 280.857246 48.052777 \nL 280.975337 50.079837 \nL 280.91348 52.226335 \nL 280.58583 55.076076 \nL 279.984455 58.108934 \nL 279.115373 61.322309 \nL 277.985857 64.713105 \nL 276.298621 69.011173 \nL 274.265184 73.55234 \nL 271.480159 79.146456 \nL 268.281644 85.04496 \nL 264.164731 92.136586 \nL 259.010763 100.526349 \nL 252.730651 110.30388 \nL 244.578877 122.569287 \nL 232.975341 139.588186 \nL 216.343313 163.559831 \nL 200.465759 186.093872 \nL 189.440911 201.366092 \nL 181.613983 211.856695 \nL 174.719569 220.721494 \nL 169.366022 227.272081 \nL 164.160997 233.28119 \nL 159.729806 238.054376 \nL 156.023261 241.760336 \nL 152.400906 245.09163 \nL 148.862194 248.032386 \nL 145.976736 250.174724 \nL 143.148658 252.029576 \nL 140.377797 253.591404 \nL 137.664152 254.855892 \nL 135.007935 255.82 \nL 132.409659 256.481971 \nL 130.37331 256.793664 \nL 128.375162 256.912047 \nL 126.415976 256.838042 \nL 124.496703 256.573101 \nL 122.618453 256.119192 \nL 120.782568 255.478813 \nL 118.99057 254.654961 \nL 117.244204 253.651123 \nL 115.128431 252.149296 \nL 113.091385 250.3812 \nL 111.137917 248.35658 \nL 109.27345 246.086171 \nL 107.503935 243.58156 \nL 105.835863 240.855141 \nL 104.27622 237.919972 \nL 102.832468 234.789741 \nL 101.512493 231.478578 \nL 100.103602 227.286849 \nL 98.89991 222.88119 \nL 97.916945 218.287571 \nL 97.170679 213.53205 \nL 96.741317 209.464142 \nL 96.496976 205.316596 \nL 96.447011 201.103923 \nL 96.600607 196.840298 \nL 96.966727 192.539475 \nL 97.553975 188.214709 \nL 98.370555 183.878703 \nL 99.424118 179.543567 \nL 100.721705 175.220768 \nL 102.269647 170.921103 \nL 104.073462 166.65466 \nL 106.137758 162.430823 \nL 108.466193 158.25825 \nL 111.061357 154.144879 \nL 113.924665 150.097935 \nL 117.056361 146.12395 \nL 120.455431 142.228789 \nL 124.119516 138.417672 \nL 128.044928 134.695224 \nL 132.226562 131.065513 \nL 136.657901 127.532095 \nL 141.330986 124.098068 \nL 146.236425 120.766135 \nL 151.363399 117.538652 \nL 156.699663 114.417682 \nL 162.231587 111.405079 \nL 169.106978 107.935367 \nL 176.214147 104.626856 \nL 183.522189 101.482194 \nL 190.997867 98.504091 \nL 198.605785 95.695424 \nL 207.598944 92.637016 \nL 216.659197 89.819171 \nL 225.722085 87.248321 \nL 234.721411 84.931807 \nL 243.589974 82.877834 \nL 252.260325 81.095551 \nL 260.66557 79.59482 \nL 268.740179 78.3862 \nL 276.420776 77.480672 \nL 282.644662 76.954211 \nL 288.49875 76.665661 \nL 293.949515 76.621856 \nL 298.966111 76.829294 \nL 302.794742 77.198432 \nL 306.288018 77.74939 \nL 309.43316 78.484942 \nL 311.691144 79.207877 \nL 313.714386 80.051427 \nL 315.498815 81.016366 \nL 317.041092 82.103217 \nL 318.338689 83.312244 \nL 319.389832 84.643465 \nL 320.193527 86.096589 \nL 320.749561 87.671063 \nL 321.058454 89.366026 \nL 321.121516 91.180297 \nL 320.940745 93.112392 \nL 320.518888 95.160495 \nL 319.85935 97.322475 \nL 318.966189 99.595868 \nL 317.52841 102.59003 \nL 315.74341 105.747758 \nL 313.622943 109.062113 \nL 310.653859 113.235214 \nL 307.244748 117.608058 \nL 303.421809 122.164488 \nL 298.47568 127.688886 \nL 293.049886 133.409197 \nL 286.322208 140.145232 \nL 279.10104 147.044067 \nL 271.457375 154.052053 \nL 262.439632 161.9971 \nL 253.069852 169.928371 \nL 243.437111 177.763388 \nL 234.720476 184.580467 \nL 225.913599 191.199484 \nL 217.063922 197.565087 \nL 209.318715 202.885335 \nL 201.598349 207.9372 \nL 193.925157 212.689097 \nL 186.318839 217.111882 \nL 179.865543 220.620809 \nL 173.483788 223.853654 \nL 167.182246 226.797353 \nL 160.968745 229.440727 \nL 154.850444 231.774574 \nL 148.834003 233.791764 \nL 143.902662 235.227173 \nL 139.049995 236.437412 \nL 134.279538 237.421759 \nL 129.594847 238.180579 \nL 124.999601 238.715276 \nL 120.497606 239.028272 \nL 116.092888 239.123031 \nL 111.789728 239.003967 \nL 107.592683 238.676484 \nL 103.506625 238.146868 \nL 99.536775 237.422249 \nL 95.688716 236.510587 \nL 91.968418 235.420566 \nL 88.382267 234.161557 \nL 84.936995 232.743522 \nL 81.639759 231.176938 \nL 78.498032 229.472744 \nL 75.519667 227.64224 \nL 72.712825 225.696988 \nL 70.085961 223.648764 \nL 67.647713 221.509443 \nL 65.406978 219.290933 \nL 63.372733 217.005074 \nL 61.554046 214.663574 \nL 59.959997 212.277906 \nL 58.599612 209.859254 \nL 57.481792 207.418425 \nL 56.615237 204.965804 \nL 56.00837 202.511262 \nL 55.669257 200.064128 \nL 55.60555 197.633107 \nL 55.757687 195.705334 \nL 56.094073 193.796865 \nL 56.617837 191.911215 \nL 57.331844 190.051613 \nL 58.238661 188.220968 \nL 59.34053 186.421886 \nL 60.639364 184.656662 \nL 62.542212 182.50073 \nL 64.757397 180.403958 \nL 67.286169 178.368792 \nL 70.128792 176.396954 \nL 73.284503 174.489466 \nL 76.751507 172.646694 \nL 80.526918 170.868383 \nL 85.458877 168.818296 \nL 90.820357 166.857403 \nL 96.600237 164.982366 \nL 102.785187 163.189072 \nL 110.49212 161.193885 \nL 118.700904 159.295305 \nL 128.655558 157.232728 \nL 140.520648 155.033711 \nL 153.008619 152.94675 \nL 167.500187 150.74155 \nL 185.553988 148.233581 \nL 205.641861 145.67485 \nL 227.494207 143.11387 \nL 249.122139 140.79934 \nL 268.591609 138.940549 \nL 284.318173 137.652447 \nL 297.822663 136.764143 \nL 309.196324 136.238999 \nL 318.595017 136.02296 \nL 326.212399 136.049642 \nL 333.219034 136.295775 \nL 338.709565 136.693624 \nL 343.702007 137.273686 \nL 347.468423 137.902114 \nL 350.866816 138.666688 \nL 353.889406 139.570705 \nL 356.529958 140.6167 \nL 358.364088 141.556903 \nL 359.948899 142.589565 \nL 361.283292 143.714794 \nL 362.366801 144.93231 \nL 363.199563 146.241437 \nL 363.782351 147.641096 \nL 364.116528 149.129794 \nL 364.204028 150.705625 \nL 364.047367 152.366268 \nL 363.64961 154.108985 \nL 363.014352 155.930628 \nL 362.145672 157.827642 \nL 360.738525 160.298843 \nL 358.983618 162.873042 \nL 356.891765 165.540771 \nL 354.474604 168.291701 \nL 351.162105 171.686924 \nL 347.421692 175.165283 \nL 343.276969 178.704802 \nL 338.752343 182.282355 \nL 333.872642 185.873862 \nL 328.66293 189.454517 \nL 323.148257 192.999016 \nL 317.353367 196.481819 \nL 311.302594 199.877368 \nL 305.019626 203.16037 \nL 298.527394 206.306024 \nL 291.847943 209.290278 \nL 285.002397 212.090088 \nL 278.010861 214.683638 \nL 270.89243 217.050565 \nL 264.876565 218.836355 \nL 258.795144 220.441926 \nL 252.657696 221.858408 \nL 246.473366 223.077978 \nL 240.250936 224.093911 \nL 233.998881 224.900626 \nL 227.725432 225.493717 \nL 221.438615 225.870002 \nL 215.146327 226.027566 \nL 208.856393 225.965706 \nL 202.576632 225.685026 \nL 196.31492 225.187353 \nL 190.079256 224.475779 \nL 183.877821 223.554604 \nL 177.719034 222.429315 \nL 171.611608 221.106549 \nL 165.564598 219.594042 \nL 159.587442 217.900557 \nL 152.520968 215.64328 \nL 145.587187 213.158007 \nL 138.80493 210.464946 \nL 132.194022 207.585769 \nL 125.775253 204.543361 \nL 119.570293 201.361613 \nL 113.601703 198.065168 \nL 107.89276 194.679169 \nL 102.467331 191.228998 \nL 97.349695 187.740042 \nL 92.564387 184.237427 \nL 88.135949 180.745783 \nL 84.088673 177.289006 \nL 80.446384 173.890039 \nL 77.232177 170.570662 \nL 74.896596 167.880088 \nL 72.885711 165.270001 \nL 71.210863 162.750611 \nL 69.882506 160.331271 \nL 68.910217 158.020424 \nL 68.394486 156.254935 \nL 68.115909 154.567093 \nL 68.077814 152.959883 \nL 68.283024 151.435878 \nL 68.73379 149.997234 \nL 69.431825 148.645694 \nL 70.378259 147.382588 \nL 71.573611 146.208836 \nL 73.017838 145.124958 \nL 74.710243 144.13108 \nL 76.649547 143.226946 \nL 79.417893 142.222003 \nL 82.563933 141.354312 \nL 86.081113 140.621088 \nL 89.961433 140.018805 \nL 95.083899 139.462953 \nL 100.69695 139.081192 \nL 107.836833 138.843203 \nL 115.576935 138.812886 \nL 125.103136 139.010021 \nL 136.604464 139.494828 \nL 150.232256 140.314567 \nL 166.07377 141.498702 \nL 185.654627 143.197318 \nL 208.942983 145.455463 \nL 232.428335 147.946698 \nL 254.030926 150.442755 \nL 273.427163 152.909101 \nL 289.093302 155.127297 \nL 302.58032 157.272036 \nL 313.998777 159.328238 \nL 323.508499 161.273138 \nL 331.294201 163.077294 \nL 338.549342 164.986827 \nL 344.326283 166.714006 \nL 349.680839 168.529734 \nL 354.601457 170.438006 \nL 359.078813 172.441866 \nL 362.466182 174.186209 \nL 365.537871 175.998787 \nL 368.292052 177.879439 \nL 370.727923 179.827318 \nL 372.845746 181.840856 \nL 374.64675 183.91775 \nL 375.860896 185.62284 \nL 376.875233 187.36459 \nL 377.691686 189.140744 \nL 378.312505 190.948729 \nL 378.740313 192.785651 \nL 378.977973 194.648297 \nL 379.028689 196.533154 \nL 378.895917 198.43641 \nL 378.477548 200.83506 \nL 377.785887 203.247391 \nL 376.829105 205.664138 \nL 375.615678 208.075469 \nL 374.154411 210.471006 \nL 372.454343 212.839918 \nL 370.524647 215.170976 \nL 368.374616 217.452625 \nL 366.013519 219.67307 \nL 363.450563 221.820343 \nL 360.694902 223.882393 \nL 357.755446 225.847165 \nL 354.640916 227.702697 \nL 351.359767 229.437182 \nL 347.920151 231.039105 \nL 344.329898 232.497276 \nL 340.596462 233.800953 \nL 336.726924 234.939868 \nL 332.728006 235.904392 \nL 328.60602 236.68551 \nL 324.366926 237.274969 \nL 320.016307 237.665308 \nL 315.559414 237.849901 \nL 311.001154 237.823072 \nL 306.346197 237.580063 \nL 301.59893 237.117114 \nL 296.763572 236.43151 \nL 291.844175 235.52155 \nL 286.844709 234.386619 \nL 281.769122 233.027157 \nL 276.621356 231.444684 \nL 271.405481 229.641781 \nL 265.062463 227.192523 \nL 258.635151 224.439345 \nL 252.131884 221.392558 \nL 245.561797 218.064423 \nL 238.934978 214.46906 \nL 232.262607 210.622366 \nL 224.437236 205.840323 \nL 216.58886 200.770344 \nL 208.742236 195.44512 \nL 199.812369 189.091221 \nL 190.966907 182.503799 \nL 182.256839 175.739441 \nL 173.738041 168.856117 \nL 165.470925 161.912438 \nL 157.519832 154.966933 \nL 149.952383 148.077331 \nL 142.838465 141.299869 \nL 136.249178 134.688628 \nL 130.969766 129.080558 \nL 126.193146 123.671362 \nL 122.533341 119.216033 \nL 119.303215 114.946401 \nL 116.5282 110.878489 \nL 114.580356 107.653176 \nL 112.977258 104.585603 \nL 111.730038 101.682535 \nL 110.995082 99.482553 \nL 110.498462 97.394342 \nL 110.243837 95.420248 \nL 110.234228 93.562275 \nL 110.47191 91.822092 \nL 110.958477 90.201043 \nL 111.694765 88.700146 \nL 112.680859 87.320101 \nL 113.916061 86.061308 \nL 115.398922 84.923887 \nL 117.127203 83.907655 \nL 119.097911 83.012181 \nL 121.307251 82.23675 \nL 123.750711 81.580441 \nL 127.126145 80.925825 \nL 130.84722 80.452906 \nL 134.900363 80.158579 \nL 139.270394 80.039424 \nL 144.909114 80.122378 \nL 150.948556 80.445352 \nL 157.35463 81.00115 \nL 165.243121 81.934063 \nL 173.519952 83.16225 \nL 182.121234 84.67432 \nL 190.981024 86.459392 \nL 200.032145 88.507301 \nL 209.206978 90.808694 \nL 218.438245 93.355193 \nL 227.659766 96.139397 \nL 236.807161 99.154834 \nL 244.541789 101.919281 \nL 252.13923 104.846406 \nL 259.564213 107.933421 \nL 266.783624 111.177747 \nL 273.766715 114.57689 \nL 280.485271 118.128302 \nL 285.863493 121.202168 \nL 291.02694 124.378134 \nL 295.963709 127.654218 \nL 300.663314 131.028163 \nL 305.116687 134.497363 \nL 309.31619 138.058815 \nL 313.255618 141.709056 \nL 316.930168 145.444115 \nL 320.336404 149.259464 \nL 323.472244 153.149974 \nL 326.336905 157.109887 \nL 328.930842 161.132773 \nL 331.255715 165.211517 \nL 333.314272 169.338295 \nL 335.110328 173.504573 \nL 336.64863 177.701105 \nL 337.934854 181.917934 \nL 338.975406 186.144429 \nL 339.77743 190.369281 \nL 340.348654 194.580568 \nL 340.697312 198.765776 \nL 340.832061 202.911861 \nL 340.761864 207.0053 \nL 340.495918 211.032163 \nL 340.043577 214.978185 \nL 339.414217 218.828842 \nL 338.438493 223.303057 \nL 337.237295 227.593271 \nL 335.826153 231.67403 \nL 334.220053 235.52018 \nL 332.743048 238.528341 \nL 331.148406 241.342711 \nL 329.443507 243.949992 \nL 327.635263 246.337465 \nL 325.73007 248.493127 \nL 323.733814 250.405722 \nL 321.651834 252.064906 \nL 319.488896 253.461241 \nL 317.249251 254.586343 \nL 315.404815 255.286184 \nL 313.515307 255.804527 \nL 311.582187 256.13865 \nL 309.60667 256.286312 \nL 307.589823 256.245818 \nL 305.532476 256.015967 \nL 303.435333 255.596076 \nL 300.758732 254.803802 \nL 298.021478 253.715283 \nL 295.223975 252.332661 \nL 292.366369 250.659356 \nL 289.448588 248.699959 \nL 286.470424 246.460297 \nL 282.816501 243.412606 \nL 279.07463 239.985425 \nL 275.244328 236.194851 \nL 270.663601 231.337383 \nL 265.962579 226.041429 \nL 260.444639 219.496018 \nL 254.057238 211.569665 \nL 246.008338 201.189119 \nL 236.196316 188.141158 \nL 222.227897 169.148288 \nL 203.458584 143.235016 \nL 189.157421 123.149462 \nL 180.046016 110.002771 \nL 172.975785 99.416313 \nL 167.741388 91.193787 \nL 163.576809 84.257468 \nL 160.355768 78.499602 \nL 157.566621 73.050251 \nL 155.544462 68.636266 \nL 153.882219 64.468038 \nL 152.783933 61.187348 \nL 151.955415 58.085732 \nL 151.403777 55.166169 \nL 151.134792 52.431167 \nL 151.126109 50.377427 \nL 151.302737 48.443929 \nL 151.665643 46.631322 \nL 152.215151 44.940079 \nL 152.950964 43.370522 \nL 153.872109 41.922811 \nL 154.976975 40.596953 \nL 156.263294 39.392848 \nL 157.728149 38.310264 \nL 159.367978 37.348837 \nL 161.178574 36.508125 \nL 163.674552 35.626198 \nL 166.419045 34.930865 \nL 169.399905 34.42079 \nL 172.603647 34.094529 \nL 176.015546 33.950528 \nL 180.362163 34.016124 \nL 184.956225 34.339223 \nL 189.766481 34.91716 \nL 194.760121 35.747396 \nL 199.903107 36.827564 \nL 205.160504 38.155489 \nL 210.496825 39.729262 \nL 215.876385 41.547174 \nL 221.263639 43.607754 \nL 226.623525 45.909749 \nL 231.921787 48.452089 \nL 237.125295 51.233769 \nL 241.36624 53.733989 \nL 245.501859 56.399203 \nL 249.515599 59.228765 \nL 253.391915 62.221934 \nL 257.116348 65.377823 \nL 260.675604 68.695304 \nL 264.057607 72.173039 \nL 267.251535 75.809368 \nL 270.247901 79.60225 \nL 273.038518 83.549235 \nL 275.616558 87.647397 \nL 277.976534 91.893295 \nL 280.114304 96.282912 \nL 282.027029 100.811603 \nL 283.713182 105.474063 \nL 285.172435 110.264275 \nL 286.405671 115.175477 \nL 287.414913 120.200127 \nL 288.203244 125.329897 \nL 288.774732 130.555624 \nL 289.134351 135.867317 \nL 289.287905 141.254142 \nL 289.24194 146.704433 \nL 289.003635 152.205691 \nL 288.474708 158.855686 \nL 287.694183 165.535394 \nL 286.677002 172.218804 \nL 285.438571 178.878484 \nL 283.994587 185.485723 \nL 282.360804 192.010697 \nL 280.552867 198.42268 \nL 278.586097 204.690217 \nL 276.475371 210.781417 \nL 274.23497 216.664169 \nL 271.878487 222.306449 \nL 269.418674 227.676582 \nL 266.867436 232.743564 \nL 264.235752 237.477361 \nL 261.533634 241.849242 \nL 259.234632 245.196349 \nL 256.897759 248.258502 \nL 254.527305 251.021994 \nL 252.127125 253.474266 \nL 249.700667 255.603987 \nL 247.250997 257.401162 \nL 245.276386 258.593645 \nL 243.289908 259.564054 \nL 241.29269 260.30931 \nL 239.28576 260.826965 \nL 237.270055 261.115248 \nL 235.246436 261.173041 \nL 233.215708 260.999903 \nL 231.178634 260.596084 \nL 229.135947 259.962495 \nL 227.088371 259.100715 \nL 225.036639 258.012985 \nL 222.981499 256.702193 \nL 220.408991 254.755464 \nL 217.834058 252.47398 \nL 215.258537 249.867373 \nL 212.68449 246.946631 \nL 210.11424 243.723983 \nL 207.038677 239.477209 \nL 203.977577 234.840113 \nL 200.936918 229.839665 \nL 197.424473 223.584774 \nL 193.961574 216.921797 \nL 190.562351 209.900042 \nL 187.242704 202.569889 \nL 183.568957 193.880217 \nL 180.051211 184.929935 \nL 176.721015 175.79354 \nL 173.612132 166.543374 \nL 171.101242 158.410735 \nL 168.811414 150.288273 \nL 166.767402 142.217669 \nL 164.993866 134.237909 \nL 163.707272 127.497863 \nL 162.651758 120.872121 \nL 161.841188 114.380007 \nL 161.288461 108.039182 \nL 161.005286 101.865643 \nL 160.982692 96.859218 \nL 161.159568 91.986414 \nL 161.54018 87.253928 \nL 162.127836 82.667739 \nL 162.92486 78.233093 \nL 163.932528 73.954624 \nL 165.150976 69.836286 \nL 166.57921 65.881465 \nL 168.215033 62.093 \nL 170.05503 58.473215 \nL 172.09455 55.02397 \nL 174.327721 51.746725 \nL 176.74743 48.64256 \nL 179.345352 45.712247 \nL 182.111974 42.95626 \nL 185.036645 40.374879 \nL 188.107608 37.968172 \nL 191.312077 35.736089 \nL 194.636296 33.678464 \nL 198.065623 31.79509 \nL 201.584608 30.085741 \nL 205.177099 28.550178 \nL 209.561487 26.936626 \nL 213.997689 25.572847 \nL 218.455081 24.458811 \nL 222.902586 23.59469 \nL 227.30898 22.980924 \nL 231.643198 22.618179 \nL 235.874632 22.507366 \nL 239.973444 22.64964 \nL 243.267012 22.962496 \nL 246.432523 23.452881 \nL 249.454772 24.121716 \nL 252.31942 24.969957 \nL 255.013069 25.998541 \nL 257.52337 27.208398 \nL 259.839067 28.600401 \nL 261.95011 30.175328 \nL 263.485612 31.567413 \nL 264.880529 33.077275 \nL 266.13147 34.705098 \nL 267.235574 36.450988 \nL 268.190555 38.314946 \nL 268.994672 40.296865 \nL 269.646727 42.396543 \nL 270.24704 45.186151 \nL 270.608736 48.158152 \nL 270.733052 51.311161 \nL 270.622472 54.64336 \nL 270.280669 58.152515 \nL 269.712473 61.83592 \nL 268.740173 66.481459 \nL 267.462464 71.366752 \nL 265.893233 76.484139 \nL 263.714816 82.735934 \nL 261.18778 89.275447 \nL 257.910115 97.077701 \nL 254.2606 105.200157 \nL 249.769001 114.676173 \nL 243.819398 126.663187 \nL 236.885315 140.116874 \nL 228.401696 156.084124 \nL 219.067133 173.182152 \nL 210.311523 188.774118 \nL 202.880298 201.579752 \nL 196.788976 211.680714 \nL 191.409418 220.210659 \nL 186.720745 227.267383 \nL 182.126466 233.763473 \nL 178.187059 238.940761 \nL 174.871497 242.972476 \nL 171.612792 246.606971 \nL 168.411079 249.825086 \nL 165.786509 252.176557 \nL 163.201482 254.218709 \nL 160.656025 255.944369 \nL 158.150259 257.34771 \nL 155.68448 258.424292 \nL 153.74097 259.04821 \nL 151.823721 259.460173 \nL 149.93322 259.659883 \nL 148.070095 259.647681 \nL 146.235119 259.424511 \nL 144.429211 258.991886 \nL 142.653487 258.351931 \nL 140.90923 257.507351 \nL 139.197915 256.461425 \nL 137.521217 255.217973 \nL 135.476909 253.392549 \nL 133.493786 251.274923 \nL 131.576505 248.875853 \nL 129.730262 246.207186 \nL 127.960768 243.281746 \nL 126.274261 240.113222 \nL 124.369512 236.010565 \nL 122.606508 231.604997 \nL 120.998675 226.923846 \nL 119.560304 221.995283 \nL 118.306308 216.847979 \nL 117.252206 211.510851 \nL 116.413862 206.012805 \nL 115.807376 200.382475 \nL 115.448867 194.647969 \nL 115.351029 189.809409 \nL 115.445463 184.932896 \nL 115.740879 180.03326 \nL 116.245585 175.124759 \nL 116.967413 170.221004 \nL 117.913604 165.334927 \nL 119.090733 160.478742 \nL 120.504593 155.663917 \nL 122.160097 150.901155 \nL 124.06119 146.200388 \nL 126.210808 141.57077 \nL 128.61073 137.020697 \nL 131.261572 132.557806 \nL 134.162668 128.189012 \nL 137.312048 123.92053 \nL 140.706382 119.757918 \nL 144.340934 115.70611 \nL 148.209553 111.76946 \nL 152.304638 107.951812 \nL 156.617152 104.256532 \nL 161.13661 100.686575 \nL 165.851103 97.24453 \nL 170.747351 93.932707 \nL 175.810712 90.753155 \nL 181.025258 87.707751 \nL 187.458037 84.232788 \nL 194.051941 80.95639 \nL 200.772982 77.881379 \nL 207.585267 75.010652 \nL 214.451265 72.347264 \nL 221.332112 69.894486 \nL 228.187935 67.65587 \nL 236.100672 65.319989 \nL 243.859335 63.287575 \nL 251.399332 61.565899 \nL 258.657147 60.162707 \nL 264.606755 59.219642 \nL 270.266447 58.521835 \nL 275.600777 58.074575 \nL 280.57647 57.8831 \nL 285.162753 57.95244 \nL 288.666906 58.212889 \nL 291.866563 58.660266 \nL 294.748733 59.296826 \nL 297.30206 60.124513 \nL 299.101446 60.925354 \nL 300.680084 61.850165 \nL 302.034623 62.899403 \nL 303.162453 64.073324 \nL 304.061723 65.371971 \nL 304.731356 66.795186 \nL 305.171013 68.342561 \nL 305.381101 70.013484 \nL 305.362767 71.807064 \nL 305.117876 73.722174 \nL 304.648993 75.757419 \nL 303.959361 77.911147 \nL 302.792871 80.76699 \nL 301.296512 83.800628 \nL 299.480615 87.007068 \nL 296.896201 91.074914 \nL 293.890735 95.372499 \nL 289.884804 100.660285 \nL 285.380636 106.222383 \nL 279.679631 112.884227 \nL 272.642548 120.720985 \nL 264.16638 129.782107 \nL 254.201122 140.075059 \nL 242.763734 151.546334 \nL 230.942638 163.099546 \nL 218.929611 174.551968 \nL 206.890744 185.717641 \nL 195.951114 195.542643 \nL 187.131844 203.188834 \nL 178.471912 210.403111 \nL 170.932547 216.397261 \nL 164.471767 221.28182 \nL 158.147458 225.800861 \nL 151.966746 229.929152 \nL 146.787592 233.139663 \nL 141.721021 236.034372 \nL 136.769512 238.602878 \nL 131.935337 240.836654 \nL 127.998039 242.437697 \nL 124.145011 243.799076 \nL 120.377623 244.919123 \nL 116.697429 245.797231 \nL 113.106141 246.433817 \nL 109.605767 246.83029 \nL 106.198611 246.989117 \nL 102.887317 246.913767 \nL 99.674907 246.608648 \nL 96.564795 246.079165 \nL 93.56085 245.331576 \nL 90.667364 244.373012 \nL 87.889114 243.211393 \nL 85.231301 241.855377 \nL 82.699622 240.31431 \nL 80.30023 238.598121 \nL 78.039697 236.717262 \nL 75.924992 234.682648 \nL 73.96348 232.505552 \nL 72.1629 230.197538 \nL 70.531252 227.77036 \nL 69.076825 225.23589 \nL 67.808105 222.606043 \nL 66.733739 219.89269 \nL 65.862438 217.107573 \nL 65.202931 214.26224 \nL 64.763877 211.367946 \nL 64.553826 208.435628 \nL 64.581108 205.475805 \nL 64.853777 202.498549 \nL 65.379528 199.513402 \nL 66.165602 196.52936 \nL 67.218732 193.554823 \nL 68.545027 190.597562 \nL 70.149974 187.664701 \nL 72.038266 184.762699 \nL 74.213814 181.897333 \nL 76.679651 179.073719 \nL 79.437881 176.2963 \nL 82.489603 173.56886 \nL 85.834881 170.894557 \nL 89.472731 168.275946 \nL 93.401029 165.715007 \nL 97.616508 163.213194 \nL 102.11473 160.77148 \nL 107.877825 157.921489 \nL 114.027947 155.159034 \nL 120.550647 152.483718 \nL 127.428971 149.894669 \nL 135.877223 146.981555 \nL 144.748241 144.182129 \nL 154.002926 141.494353 \nL 164.993934 138.557273 \nL 176.358996 135.762701 \nL 188.021606 133.111223 \nL 201.395642 130.303023 \nL 214.91922 127.687745 \nL 228.463142 125.278193 \nL 241.894049 123.092013 \nL 255.076258 121.151585 \nL 267.873729 119.483626 \nL 280.15222 118.118524 \nL 290.525305 117.186063 \nL 300.297892 116.543372 \nL 308.291473 116.238075 \nL 315.711044 116.18965 \nL 321.578191 116.364307 \nL 326.96247 116.748071 \nL 331.063285 117.233554 \nL 334.800082 117.874157 \nL 338.162283 118.673521 \nL 341.140944 119.634616 \nL 343.242764 120.521495 \nL 345.09146 121.51416 \nL 346.68478 122.613082 \nL 348.021191 123.818384 \nL 349.099859 125.129825 \nL 349.920635 126.546779 \nL 350.48409 128.068244 \nL 350.791471 129.692813 \nL 350.844661 131.418679 \nL 350.646237 133.24364 \nL 350.19936 135.165075 \nL 349.507795 137.179972 \nL 348.575863 139.284907 \nL 347.080444 142.036852 \nL 345.227689 144.915211 \nL 343.02932 147.910783 \nL 340.498053 151.013499 \nL 337.040235 154.862802 \nL 333.147389 158.830408 \nL 328.845509 162.894623 \nL 324.161452 167.032493 \nL 319.12266 171.219993 \nL 312.832747 176.134887 \nL 306.141674 181.042804 \nL 299.092821 185.902386 \nL 291.728474 190.672061 \nL 285.196054 194.657474 \nL 278.486504 198.520928 \nL 271.623391 202.237538 \nL 264.629085 205.783323 \nL 257.524765 209.135419 \nL 250.330336 212.272328 \nL 243.064501 215.174097 \nL 235.744777 217.822522 \nL 229.615724 219.824205 \nL 223.469637 221.630296 \nL 217.315038 223.233522 \nL 211.160062 224.62774 \nL 205.01251 225.80795 \nL 198.879919 226.770349 \nL 192.76961 227.512343 \nL 186.688767 228.03257 \nL 180.644493 228.33089 \nL 174.643883 228.408398 \nL 168.69408 228.267411 \nL 162.802341 227.911472 \nL 156.976095 227.345265 \nL 151.222974 226.574607 \nL 145.550905 225.606414 \nL 139.968112 224.448646 \nL 134.483167 223.110216 \nL 129.105024 221.600943 \nL 122.805397 219.579328 \nL 116.689924 217.346855 \nL 110.776342 214.924625 \nL 105.083191 212.334865 \nL 99.629772 209.600639 \nL 94.436041 206.745638 \nL 89.522527 203.793917 \nL 84.910168 200.769643 \nL 80.620168 197.696861 \nL 76.673838 194.599241 \nL 73.092295 191.499837 \nL 69.896395 188.420896 \nL 67.10637 185.383614 \nL 65.105474 182.898805 \nL 63.41068 180.467622 \nL 62.032104 178.10013 \nL 60.979143 175.8056 \nL 60.377065 174.028188 \nL 59.992965 172.306769 \nL 59.830469 170.644865 \nL 59.892802 169.045615 \nL 60.182774 167.511763 \nL 60.702722 166.045659 \nL 61.454517 164.649256 \nL 62.439522 163.32411 \nL 63.658625 162.071383 \nL 65.112197 160.891847 \nL 66.800067 159.785893 \nL 68.721539 158.753542 \nL 71.44995 157.566058 \nL 74.537833 156.491606 \nL 77.980314 155.527974 \nL 81.771221 154.672213 \nL 86.769709 153.782543 \nL 92.244036 153.035557 \nL 99.208571 152.333056 \nL 106.764867 151.79826 \nL 116.079072 151.371709 \nL 127.351206 151.097127 \nL 140.752098 151.004458 \nL 157.861661 151.123061 \nL 180.455143 151.51709 \nL 213.3884 152.332205 \nL 251.142894 153.475408 \nL 276.809479 154.456112 \nL 295.300228 155.382237 \nL 308.637425 156.252305 \nL 319.864159 157.189897 \nL 329.153947 158.172535 \nL 336.705741 159.16551 \nL 343.685349 160.297458 \nL 349.190879 161.388139 \nL 354.239681 162.597711 \nL 358.818617 163.932455 \nL 362.267599 165.144083 \nL 365.377774 166.448465 \nL 368.145348 167.847155 \nL 370.567742 169.34096 \nL 372.643517 170.929884 \nL 374.054364 172.26898 \nL 375.243596 173.667617 \nL 376.21208 175.124609 \nL 376.961116 176.638404 \nL 377.492469 178.207081 \nL 377.808286 179.828341 \nL 377.911144 181.499519 \nL 377.804005 183.217586 \nL 377.490175 184.979146 \nL 376.973293 186.780458 \nL 376.047724 189.081729 \nL 374.819456 191.429987 \nL 373.297474 193.815762 \nL 371.491313 196.228878 \nL 369.410918 198.6585 \nL 367.066638 201.093219 \nL 363.920123 204.004779 \nL 360.427592 206.885053 \nL 356.607934 209.71192 \nL 352.480029 212.462774 \nL 348.062637 215.114764 \nL 343.37413 217.645009 \nL 338.432499 220.030843 \nL 333.2551 222.25005 \nL 327.858654 224.28112 \nL 323.205843 225.815056 \nL 318.420883 227.192697 \nL 313.51221 228.40336 \nL 308.48792 229.437074 \nL 303.355745 230.284701 \nL 298.123042 230.937946 \nL 292.796862 231.38944 \nL 287.383958 231.632831 \nL 281.890832 231.662823 \nL 276.323794 231.475175 \nL 270.68899 231.066789 \nL 264.992478 230.435724 \nL 259.240266 229.581208 \nL 253.438397 228.503638 \nL 247.593004 227.204601 \nL 241.710368 225.686836 \nL 235.797002 223.954281 \nL 229.859699 222.011989 \nL 222.713427 219.413114 \nL 215.556139 216.53377 \nL 208.401968 213.388705 \nL 201.266164 209.994605 \nL 194.165198 206.369964 \nL 187.116852 202.534891 \nL 180.140268 198.510963 \nL 172.119099 193.608212 \nL 164.258634 188.517574 \nL 156.596398 183.278581 \nL 149.172255 177.931811 \nL 142.028175 172.518419 \nL 135.207865 167.079644 \nL 128.756366 161.656374 \nL 122.719556 156.288673 \nL 117.143544 151.015353 \nL 112.765537 146.598693 \nL 108.787887 142.3009 \nL 105.237833 138.142906 \nL 102.14141 134.144211 \nL 99.925251 130.946644 \nL 98.05422 127.88169 \nL 96.540356 124.957997 \nL 95.394515 122.183332 \nL 94.74931 120.075542 \nL 94.350021 118.07063 \nL 94.200284 116.1713 \nL 94.303079 114.379874 \nL 94.660711 112.698293 \nL 95.274818 111.128126 \nL 96.146289 109.670557 \nL 97.275334 108.326407 \nL 98.661362 107.096146 \nL 100.303093 105.979888 \nL 102.198467 104.977424 \nL 104.344693 104.088221 \nL 106.73823 103.311445 \nL 110.071363 102.496861 \nL 113.774293 101.853452 \nL 117.835406 101.377906 \nL 122.241477 101.0664 \nL 127.963168 100.903111 \nL 134.131899 100.961884 \nL 140.716609 101.234146 \nL 148.879614 101.80968 \nL 157.506011 102.649134 \nL 166.535418 103.738064 \nL 177.267288 105.270004 \nL 188.346085 107.089554 \nL 199.672848 109.178512 \nL 211.148137 111.520706 \nL 222.673352 114.102278 \nL 234.152005 116.911767 \nL 245.490898 119.940084 \nL 255.227824 122.763923 \nL 264.733455 125.746631 \nL 273.955192 128.88575 \nL 281.596574 131.699541 \nL 288.965418 134.626048 \nL 296.036052 137.664451 \nL 302.785345 140.813856 \nL 309.192804 144.073129 \nL 314.258307 146.872032 \nL 319.065169 149.745011 \nL 323.605851 152.690571 \nL 327.87415 155.706833 \nL 331.865129 158.79148 \nL 335.575163 161.941705 \nL 339.001874 165.154168 \nL 342.144098 168.424955 \nL 345.001835 171.749543 \nL 347.576218 175.122773 \nL 349.869454 178.538834 \nL 351.884726 181.991242 \nL 353.626177 185.472839 \nL 355.098785 188.975799 \nL 356.308333 192.491635 \nL 357.261321 196.01122 \nL 357.96481 199.524804 \nL 358.426431 203.022059 \nL 358.654283 206.492124 \nL 358.656788 209.923634 \nL 358.442657 213.304797 \nL 358.0208 216.623448 \nL 357.400224 219.86711 \nL 356.589955 223.023091 \nL 355.59902 226.078544 \nL 354.436277 229.020528 \nL 353.110425 231.836152 \nL 351.629899 234.512606 \nL 350.00285 237.037264 \nL 348.237077 239.397808 \nL 346.339959 241.582259 \nL 344.318483 243.579111 \nL 342.179148 245.377407 \nL 339.927971 246.966795 \nL 337.570468 248.337645 \nL 335.111639 249.481101 \nL 332.555976 250.389177 \nL 329.907465 251.054742 \nL 327.169583 251.471669 \nL 324.34531 251.634805 \nL 321.437174 251.540088 \nL 318.447298 251.184498 \nL 315.377364 250.566134 \nL 312.228702 249.684198 \nL 309.00234 248.539032 \nL 305.69901 247.132046 \nL 302.319252 245.465781 \nL 298.863437 243.543864 \nL 294.616416 240.906733 \nL 290.260648 237.918179 \nL 285.796584 234.590189 \nL 280.452593 230.297061 \nL 274.964012 225.585727 \nL 268.518146 219.724998 \nL 261.894147 213.399841 \nL 254.241764 205.790046 \nL 245.514179 196.808367 \nL 234.78121 185.444281 \nL 221.098238 170.613522 \nL 204.60377 152.388069 \nL 189.403947 135.274454 \nL 177.552818 121.608372 \nL 168.90097 111.318311 \nL 161.698316 102.407138 \nL 156.481294 95.634344 \nL 151.819276 89.215397 \nL 148.244028 83.913283 \nL 145.584899 79.616868 \nL 143.323711 75.560432 \nL 141.48076 71.752982 \nL 140.277438 68.775992 \nL 139.385948 65.981229 \nL 138.813794 63.372015 \nL 138.590086 61.420105 \nL 138.576989 59.589858 \nL 138.77618 57.882211 \nL 139.188655 56.297879 \nL 139.814707 54.837375 \nL 140.653912 53.501008 \nL 141.705123 52.288892 \nL 142.966481 51.20098 \nL 144.43539 50.237037 \nL 146.108536 49.396674 \nL 147.981892 48.679368 \nL 150.597884 47.954773 \nL 153.508589 47.419861 \nL 156.701698 47.072846 \nL 160.163406 46.911737 \nL 163.878461 46.934366 \nL 168.647539 47.200875 \nL 173.72662 47.724639 \nL 179.082587 48.50154 \nL 184.680448 49.527476 \nL 190.483693 50.798446 \nL 196.45463 52.310633 \nL 202.554774 54.060442 \nL 208.745208 56.044502 \nL 214.98696 58.259725 \nL 221.241363 60.703264 \nL 227.470414 63.372521 \nL 233.637107 66.265072 \nL 239.705765 69.378642 \nL 245.642332 72.710998 \nL 250.465299 75.653464 \nL 255.156673 78.744894 \nL 259.700098 81.983779 \nL 264.080407 85.368449 \nL 268.283699 88.896996 \nL 272.297394 92.56724 \nL 276.110276 96.376653 \nL 279.71252 100.322318 \nL 283.095724 104.400869 \nL 286.252873 108.60844 \nL 289.178387 112.940596 \nL 291.868085 117.392294 \nL 294.319139 121.957842 \nL 296.53006 126.630868 \nL 298.500631 131.404245 \nL 300.231876 136.270097 \nL 301.725963 141.21976 \nL 302.986142 146.243769 \nL 304.016678 151.331851 \nL 304.822756 156.472921 \nL 305.410385 161.655089 \nL 305.786304 166.86568 \nL 305.957922 172.091252 \nL 305.933166 177.317639 \nL 305.656068 183.569425 \nL 305.123452 189.774109 \nL 304.350945 195.903683 \nL 303.354461 201.929153 \nL 302.149992 207.820776 \nL 300.753383 213.548246 \nL 299.180173 219.080979 \nL 297.445397 224.388355 \nL 295.563495 229.440004 \nL 293.548154 234.206126 \nL 291.412219 238.657715 \nL 289.167605 242.766939 \nL 287.221986 245.910675 \nL 285.214309 248.783926 \nL 283.149849 251.373242 \nL 281.033394 253.666272 \nL 278.869251 255.651777 \nL 276.661237 257.319777 \nL 274.865503 258.419702 \nL 273.045357 259.307058 \nL 271.202142 259.978641 \nL 269.33703 260.431861 \nL 267.451048 260.664743 \nL 265.545083 260.675958 \nL 263.619901 260.464792 \nL 261.676147 260.031196 \nL 259.714384 259.375758 \nL 257.73508 258.4997 \nL 255.738639 257.404864 \nL 253.219523 255.732506 \nL 250.674811 253.72839 \nL 248.10509 251.400097 \nL 245.510984 248.756548 \nL 242.893184 245.807965 \nL 239.721702 241.883177 \nL 236.519037 237.557434 \nL 232.746209 232.035912 \nL 228.938624 226.042094 \nL 224.552261 218.669742 \nL 220.139761 210.80593 \nL 215.162524 201.459974 \nL 209.646117 190.576267 \nL 204.18597 179.303355 \nL 198.306353 166.618766 \nL 193.141287 154.973118 \nL 188.217303 143.348393 \nL 184.05247 133.000351 \nL 180.198893 122.841324 \nL 177.081664 114.026974 \nL 174.29698 105.462471 \nL 172.164593 98.204983 \nL 170.343057 91.193201 \nL 169.047473 85.394723 \nL 168.012017 79.804027 \nL 167.249356 74.431462 \nL 166.770647 69.286025 \nL 166.595467 65.177292 \nL 166.628462 61.235503 \nL 166.873062 57.463964 \nL 167.331624 53.865422 \nL 168.0054 50.442159 \nL 168.894496 47.195978 \nL 169.997798 44.128288 \nL 171.312979 41.240112 \nL 172.836496 38.53213 \nL 174.563547 36.004724 \nL 176.488111 33.658002 \nL 178.602946 31.491855 \nL 180.899612 29.505969 \nL 183.368544 27.699904 \nL 185.999062 26.073086 \nL 188.779452 24.624884 \nL 191.697017 23.354619 \nL 194.738185 22.261585 \nL 197.888557 21.345116 \nL 201.133024 20.604575 \nL 204.455862 20.03938 \nL 208.523824 19.591946 \nL 212.652426 19.395681 \nL 216.812309 19.450178 \nL 220.973845 19.755272 \nL 225.107432 20.311078 \nL 229.183785 21.117938 \nL 232.516305 21.982482 \nL 235.773001 23.022198 \nL 238.938264 24.237576 \nL 241.997114 25.629171 \nL 244.935307 27.197582 \nL 247.739422 28.943381 \nL 250.396939 30.867108 \nL 252.896313 32.969244 \nL 255.227047 35.250171 \nL 257.379739 37.710113 \nL 259.346132 40.349137 \nL 261.11914 43.167077 \nL 262.692884 46.163509 \nL 264.062707 49.337694 \nL 265.22516 52.688562 \nL 266.178015 56.214651 \nL 266.920228 59.914078 \nL 267.451936 63.784484 \nL 267.774374 67.823015 \nL 267.889891 72.026291 \nL 267.801831 76.39036 \nL 267.514527 80.910651 \nL 266.914166 86.533846 \nL 266.044995 92.364234 \nL 264.919089 98.390157 \nL 263.549778 104.598466 \nL 261.66388 112.052381 \nL 259.490637 119.708613 \nL 256.687684 128.669265 \nL 253.581454 137.80892 \nL 250.210991 147.075256 \nL 246.151194 157.580309 \nL 241.858238 168.086185 \nL 237.381558 178.499474 \nL 232.766505 188.721764 \nL 228.053702 198.650904 \nL 223.278669 208.182513 \nL 219.006534 216.236525 \nL 214.727025 223.820765 \nL 210.988058 230.015908 \nL 207.262843 235.751709 \nL 204.085772 240.269849 \nL 200.927035 244.393624 \nL 197.789399 248.09975 \nL 195.192483 250.853853 \nL 192.61293 253.29232 \nL 190.051729 255.405489 \nL 187.509781 257.185082 \nL 185.490672 258.363934 \nL 183.484903 259.32205 \nL 181.492949 260.057236 \nL 179.515331 260.567926 \nL 177.55263 260.853205 \nL 175.605497 260.912807 \nL 173.67467 260.747124 \nL 171.760997 260.3572 \nL 169.865438 259.744713 \nL 167.989074 258.912029 \nL 166.133148 257.862086 \nL 164.299044 256.598445 \nL 162.488316 255.12529 \nL 160.26042 252.996482 \nL 158.075523 250.558181 \nL 155.937869 247.822067 \nL 153.852179 244.80098 \nL 151.823636 241.508793 \nL 149.472861 237.22126 \nL 147.223359 232.591884 \nL 145.086826 227.649246 \nL 143.075925 222.422998 \nL 141.204144 216.943608 \nL 139.485725 211.242058 \nL 137.935563 205.349531 \nL 136.569064 199.297136 \nL 135.401966 193.115644 \nL 134.450199 186.835241 \nL 133.729665 180.485304 \nL 133.256031 174.094188 \nL 133.060947 168.756441 \nL 133.056376 163.423998 \nL 133.250355 158.111165 \nL 133.650405 152.83151 \nL 134.263434 147.597821 \nL 135.095652 142.422083 \nL 136.152466 137.315466 \nL 137.438383 132.28832 \nL 138.956935 127.350164 \nL 140.7106 122.509716 \nL 142.700725 117.774883 \nL 144.927454 113.152812 \nL 147.389676 108.649909 \nL 150.084976 104.271856 \nL 153.009581 100.023687 \nL 156.158364 95.909802 \nL 159.524787 91.934037 \nL 163.100917 88.099708 \nL 166.877412 84.409678 \nL 170.843572 80.866372 \nL 174.987333 77.471881 \nL 179.295323 74.227999 \nL 183.752913 71.136286 \nL 188.34428 68.198096 \nL 193.052479 65.414664 \nL 198.831165 62.280416 \nL 204.719342 59.372541 \nL 210.682517 56.692924 \nL 216.684814 54.243574 \nL 222.689287 52.026625 \nL 228.658249 50.044416 \nL 234.553625 48.299547 \nL 240.337302 46.794856 \nL 245.971501 45.533415 \nL 251.419138 44.518536 \nL 256.644196 43.753705 \nL 261.612065 43.242543 \nL 266.289901 42.988726 \nL 270.646947 42.995931 \nL 274.012229 43.203901 \nL 277.119989 43.59756 \nL 279.956592 44.178735 \nL 282.509897 44.949069 \nL 284.341395 45.702485 \nL 285.980093 46.578493 \nL 287.421985 47.577592 \nL 288.663771 48.700121 \nL 289.702838 49.946312 \nL 290.537281 51.316233 \nL 291.165912 52.809767 \nL 291.588239 54.426641 \nL 291.804468 56.166388 \nL 291.815498 58.028337 \nL 291.622893 60.011658 \nL 291.228879 62.115247 \nL 290.457529 64.911911 \nL 289.382883 67.891508 \nL 288.013239 71.05051 \nL 285.993893 75.072339 \nL 283.582481 79.338479 \nL 280.800046 83.839635 \nL 277.115597 89.374028 \nL 272.374858 96.04935 \nL 266.439813 103.968293 \nL 259.205305 113.216835 \nL 249.807788 124.835853 \nL 237.272328 139.946184 \nL 220.705288 159.553434 \nL 203.123045 180.029905 \nL 190.201828 194.757981 \nL 180.168239 205.86709 \nL 172.063611 214.517672 \nL 164.990975 221.737942 \nL 158.890184 227.64556 \nL 153.69972 232.381972 \nL 148.649062 236.684348 \nL 144.431849 240.007041 \nL 140.318128 242.97759 \nL 136.307869 245.583625 \nL 133.045013 247.46939 \nL 129.85406 249.090032 \nL 126.735217 250.441848 \nL 123.688865 251.52224 \nL 120.715658 252.329755 \nL 117.816517 252.864112 \nL 114.99272 253.12618 \nL 112.245938 253.118004 \nL 109.578274 252.842753 \nL 106.992253 252.304719 \nL 104.490911 251.509307 \nL 102.077788 250.46295 \nL 99.756931 249.173069 \nL 97.53293 247.648057 \nL 95.410867 245.897161 \nL 93.396388 243.930467 \nL 91.495634 241.758742 \nL 89.715253 239.393417 \nL 88.062328 236.846495 \nL 86.544426 234.130436 \nL 85.169497 231.25809 \nL 83.945849 228.242582 \nL 82.882064 225.097223 \nL 81.987011 221.835456 \nL 81.269696 218.470725 \nL 80.739284 215.016378 \nL 80.404927 211.485632 \nL 80.27576 207.891435 \nL 80.360807 204.24644 \nL 80.668865 200.56291 \nL 81.208442 196.852667 \nL 81.987667 193.127004 \nL 83.01417 189.396695 \nL 84.295056 185.671896 \nL 85.836773 181.962142 \nL 87.644995 178.276315 \nL 89.724619 174.622622 \nL 92.079638 171.008593 \nL 94.713023 167.441073 \nL 97.62674 163.92623 \nL 100.821667 160.469577 \nL 104.297476 157.075978 \nL 108.052624 153.749693 \nL 112.084309 150.494404 \nL 116.38842 147.313258 \nL 120.959534 144.208914 \nL 125.790876 141.183598 \nL 130.874311 138.239148 \nL 136.200338 135.377088 \nL 142.896432 132.053118 \nL 149.904891 128.851387 \nL 157.201737 125.77344 \nL 164.760375 122.820705 \nL 172.551721 119.994664 \nL 181.893665 116.859963 \nL 191.455797 113.903145 \nL 201.18084 111.128205 \nL 211.008367 108.540134 \nL 222.284372 105.819132 \nL 233.514597 103.361501 \nL 244.599589 101.180632 \nL 255.439 99.292007 \nL 265.933009 97.712988 \nL 274.754902 96.600125 \nL 283.17388 95.752084 \nL 291.129223 95.18251 \nL 297.535566 94.926298 \nL 303.525539 94.89311 \nL 309.068076 95.090973 \nL 313.324652 95.437768 \nL 317.236197 95.954156 \nL 320.789612 96.643649 \nL 323.973504 97.509272 \nL 326.247988 98.33026 \nL 328.275606 99.266527 \nL 330.052974 100.318774 \nL 331.577461 101.487403 \nL 332.847185 102.772511 \nL 333.861047 104.173872 \nL 334.618666 105.69092 \nL 335.120444 107.322747 \nL 335.36748 109.068086 \nL 335.361624 110.925307 \nL 335.105413 112.892404 \nL 334.60206 114.967021 \nL 333.855402 117.146412 \nL 332.869922 119.427464 \nL 331.309951 122.416415 \nL 329.395783 125.551177 \nL 327.139669 128.823308 \nL 324.554928 132.223539 \nL 321.039586 136.458688 \nL 317.097769 140.844963 \nL 312.756948 145.36213 \nL 307.226398 150.7688 \nL 301.237784 156.288142 \nL 294.837809 161.882271 \nL 288.073014 167.51193 \nL 280.989136 173.1369 \nL 273.630608 178.716419 \nL 266.04009 184.20963 \nL 258.25813 189.576015 \nL 250.322866 194.775845 \nL 242.269854 199.770619 \nL 234.131966 204.523509 \nL 227.112019 208.378508 \nL 220.069376 212.009815 \nL 213.020124 215.398553 \nL 205.97907 218.527513 \nL 198.959843 221.38136 \nL 191.975021 223.946723 \nL 186.189066 225.855973 \nL 180.441463 227.551699 \nL 174.738251 229.029635 \nL 169.085246 230.286668 \nL 163.488067 231.320822 \nL 157.952248 232.131268 \nL 152.48328 232.718311 \nL 147.086665 233.083431 \nL 141.768005 233.229233 \nL 136.533035 233.159412 \nL 131.387674 232.878749 \nL 126.338084 232.393079 \nL 121.390703 231.709194 \nL 116.552268 230.834837 \nL 111.829895 229.778643 \nL 107.231013 228.550025 \nL 102.763434 227.159144 \nL 97.58725 225.291147 \nL 92.626846 223.224818 \nL 87.897792 220.980877 \nL 83.416409 218.58079 \nL 79.199534 216.046519 \nL 75.264534 213.400327 \nL 71.629168 210.664503 \nL 68.311373 207.861194 \nL 65.32915 205.0121 \nL 63.113203 202.618136 \nL 61.152928 200.218842 \nL 59.458272 197.825533 \nL 58.038905 195.448981 \nL 56.904057 193.099349 \nL 56.062521 190.786138 \nL 55.606016 188.967702 \nL 55.346422 187.182337 \nL 55.287377 185.433861 \nL 55.432178 183.725751 \nL 55.783827 182.061132 \nL 56.344968 180.442783 \nL 57.117839 178.873125 \nL 58.104303 177.354221 \nL 59.305818 175.887773 \nL 60.723429 174.475134 \nL 62.357709 173.117296 \nL 64.705455 171.498025 \nL 67.391237 169.965915 \nL 70.413215 168.52072 \nL 73.768386 167.161445 \nL 77.452629 165.886403 \nL 82.300618 164.46421 \nL 87.603613 163.154796 \nL 93.34803 161.951988 \nL 100.586692 160.674022 \nL 108.37603 159.519234 \nL 117.910687 158.3334 \nL 129.378718 157.145864 \nL 142.941482 155.974923 \nL 160.181154 154.726653 \nL 182.859885 153.33137 \nL 214.221075 151.650456 \nL 248.799256 150.014451 \nL 274.513679 149.009478 \nL 293.044453 148.505963 \nL 306.396627 148.343183 \nL 317.612908 148.40914 \nL 326.865795 148.668274 \nL 334.358015 149.071144 \nL 341.247629 149.655773 \nL 346.648408 150.313177 \nL 351.564174 151.124019 \nL 355.979346 152.095823 \nL 359.266857 153.033146 \nL 362.191663 154.089417 \nL 364.749027 155.266686 \nL 366.528087 156.296473 \nL 368.068736 157.404724 \nL 369.370434 158.591295 \nL 370.433204 159.855654 \nL 371.257606 161.196882 \nL 371.844728 162.613659 \nL 372.196197 164.104262 \nL 372.314108 165.666566 \nL 372.201091 167.298038 \nL 371.860223 168.995744 \nL 371.295014 170.756357 \nL 370.509384 172.576157 \nL 369.224048 174.927863 \nL 367.610369 177.356817 \nL 365.67837 179.853359 \nL 363.438809 182.40704 \nL 360.361338 185.53107 \nL 356.877834 188.700613 \nL 353.009606 191.893858 \nL 348.778514 195.087982 \nL 344.206692 198.259366 \nL 339.31639 201.383831 \nL 334.129699 204.436894 \nL 328.668437 207.393961 \nL 322.953902 210.230633 \nL 317.006823 212.922925 \nL 310.84722 215.447538 \nL 304.494293 217.782074 \nL 297.966402 219.905312 \nL 292.405495 221.498905 \nL 286.744916 222.92131 \nL 280.993935 224.162733 \nL 275.161432 225.214324 \nL 269.255946 226.068209 \nL 263.285692 226.717587 \nL 257.258615 227.156753 \nL 251.182442 227.381184 \nL 245.064731 227.387534 \nL 238.912931 227.173662 \nL 232.734449 226.738688 \nL 226.536706 226.08296 \nL 220.327206 225.208089 \nL 214.113602 224.116918 \nL 207.903757 222.813502 \nL 201.705809 221.303096 \nL 195.528221 219.592104 \nL 189.379855 217.688051 \nL 182.053495 215.160479 \nL 174.799569 212.384 \nL 167.636119 209.377195 \nL 160.582309 206.160388 \nL 153.65848 202.755413 \nL 146.886127 199.185397 \nL 140.287892 195.474548 \nL 133.8875 191.647902 \nL 126.703443 187.071363 \nL 119.863013 182.413424 \nL 113.40811 177.715513 \nL 107.381416 173.01867 \nL 102.589079 169.024117 \nL 98.169858 165.084348 \nL 94.150234 161.222891 \nL 90.555965 157.462101 \nL 87.411764 153.822986 \nL 85.15231 150.897444 \nL 83.234305 148.080354 \nL 81.669461 145.381254 \nL 80.468465 142.808778 \nL 79.776085 140.847167 \nL 79.326989 138.975031 \nL 79.124929 137.195456 \nL 79.173098 135.511127 \nL 79.474073 133.924309 \nL 80.029791 132.436866 \nL 80.841593 131.050247 \nL 81.910113 129.7655 \nL 83.23532 128.583284 \nL 84.816527 127.503861 \nL 86.652337 126.527126 \nL 88.740702 125.652612 \nL 91.078851 124.879503 \nL 94.347484 124.053956 \nL 97.992818 123.382159 \nL 102.005117 122.860532 \nL 107.288219 122.426853 \nL 113.061122 122.195088 \nL 119.298691 122.156052 \nL 127.125945 122.340843 \nL 135.499566 122.757865 \nL 145.671511 123.496885 \nL 156.406076 124.4913 \nL 169.046083 125.884308 \nL 183.638694 127.733806 \nL 198.632753 129.861578 \nL 213.845485 132.233356 \nL 229.096046 134.822415 \nL 244.208505 137.610001 \nL 257.552311 140.279429 \nL 270.531901 143.097917 \nL 281.676009 145.729352 \nL 292.376834 148.4827 \nL 301.326029 150.995525 \nL 309.848093 153.608944 \nL 317.908377 156.326824 \nL 324.426394 158.742376 \nL 330.565978 161.239392 \nL 336.312805 163.819413 \nL 341.654951 166.48336 \nL 345.790636 168.767556 \nL 349.634341 171.109755 \nL 353.182894 173.509066 \nL 356.434298 175.964061 \nL 359.387569 178.472725 \nL 362.042803 181.032427 \nL 364.401088 183.639894 \nL 366.464486 186.291187 \nL 368.235967 188.981681 \nL 369.719378 191.706064 \nL 370.91936 194.458333 \nL 371.841261 197.231807 \nL 372.491127 200.019144 \nL 372.875597 202.812355 \nL 373.001794 205.602834 \nL 372.877341 208.381413 \nL 372.510196 211.138376 \nL 371.908603 213.863546 \nL 371.081073 216.546309 \nL 370.036188 219.175687 \nL 368.782668 221.740419 \nL 367.329192 224.229001 \nL 365.684374 226.629793 \nL 363.856723 228.931083 \nL 361.854526 231.121162 \nL 359.685892 233.188425 \nL 357.358566 235.121416 \nL 354.880024 236.908961 \nL 352.257346 238.540212 \nL 349.497224 240.004717 \nL 346.605948 241.292564 \nL 343.589382 242.394365 \nL 340.45294 243.301411 \nL 337.2016 244.005668 \nL 333.839907 244.499904 \nL 330.371994 244.777679 \nL 326.801581 244.833446 \nL 323.13201 244.662574 \nL 319.366261 244.261369 \nL 315.507028 243.627133 \nL 311.556702 242.758173 \nL 307.51748 241.653807 \nL 303.391372 240.314368 \nL 299.180257 238.741201 \nL 294.017302 236.548299 \nL 288.737763 234.028281 \nL 283.344974 231.189115 \nL 277.84261 228.04073 \nL 272.23484 224.594864 \nL 265.565694 220.216789 \nL 258.768785 215.476414 \nL 251.855095 210.400616 \nL 243.827772 204.226662 \nL 235.688935 197.699986 \nL 226.435065 189.998216 \nL 216.088864 181.082293 \nL 205.751602 171.891725 \nL 194.501227 161.593995 \nL 183.513852 151.23912 \nL 172.946862 140.969176 \nL 163.849076 131.822245 \nL 156.190729 123.828375 \nL 149.889174 116.969012 \nL 144.137358 110.387511 \nL 139.609798 104.888755 \nL 135.600358 99.658978 \nL 132.607824 95.407638 \nL 130.051067 91.383448 \nL 128.269429 88.211799 \nL 126.817443 85.211781 \nL 125.705363 82.388628 \nL 124.942004 79.746848 \nL 124.587332 77.766615 \nL 124.463491 75.906575 \nL 124.572787 74.16809 \nL 124.916784 72.552262 \nL 125.496295 71.059924 \nL 126.311447 69.691638 \nL 127.361533 68.447737 \nL 128.64513 67.32828 \nL 130.16003 66.333133 \nL 131.903262 65.461931 \nL 133.871095 64.714102 \nL 136.059052 64.088889 \nL 139.095547 63.478369 \nL 142.456073 63.05583 \nL 146.127213 62.81879 \nL 150.093982 62.7645 \nL 155.221056 62.936351 \nL 160.719008 63.361605 \nL 166.554249 64.034574 \nL 172.690963 64.949474 \nL 180.181129 66.31497 \nL 187.967917 67.99299 \nL 195.986993 69.974983 \nL 204.172863 72.252963 \nL 212.459712 74.819542 \nL 219.593542 77.244055 \nL 226.713096 79.871806 \nL 233.778957 82.699309 \nL 240.753052 85.723292 \nL 247.59896 88.94071 \nL 254.282182 92.348632 \nL 260.770392 95.944144 \nL 266.006599 99.081522 \nL 271.07059 102.345194 \nL 275.947706 105.733115 \nL 280.624655 109.243017 \nL 285.089549 112.872332 \nL 289.331919 116.618166 \nL 293.342744 120.4772 \nL 297.11446 124.445674 \nL 300.640932 128.51931 \nL 303.917477 132.693262 \nL 306.940791 136.962074 \nL 309.708947 141.319645 \nL 312.221346 145.759187 \nL 314.478601 150.273193 \nL 316.482563 154.85342 \nL 318.236169 159.490874 \nL 319.743448 164.175802 \nL 321.009356 168.897692 \nL 322.039696 173.645287 \nL 322.841097 178.4066 \nL 323.420841 183.168943 \nL 323.78677 187.918966 \nL 323.94729 192.6427 \nL 323.911129 197.325615 \nL 323.687315 201.952679 \nL 323.184089 207.409638 \nL 322.440127 212.736526 \nL 321.471612 217.905472 \nL 320.294557 222.888321 \nL 318.924606 227.6569 \nL 317.376844 232.183266 \nL 315.665708 236.439994 \nL 313.804835 240.400443 \nL 312.148929 243.455996 \nL 310.40473 246.273902 \nL 308.57858 248.840806 \nL 306.676304 251.144187 \nL 304.703176 253.172526 \nL 302.663962 254.915295 \nL 300.562861 256.363106 \nL 298.839924 257.303465 \nL 297.081402 258.046206 \nL 295.288749 258.588266 \nL 293.463212 258.92712 \nL 291.605854 259.060844 \nL 289.717583 258.988068 \nL 287.799098 258.70801 \nL 285.850983 258.220473 \nL 283.873664 257.525846 \nL 281.867446 256.6251 \nL 279.319335 255.211747 \nL 276.726566 253.48309 \nL 274.089143 251.444724 \nL 271.406966 249.103605 \nL 268.129015 245.906168 \nL 264.786063 242.300885 \nL 261.377906 238.306268 \nL 257.319462 233.18141 \nL 253.173299 227.590482 \nL 248.329982 220.67973 \nL 242.753927 212.314116 \nL 236.414258 202.39248 \nL 228.640177 189.792643 \nL 218.756483 173.304268 \nL 207.530733 154.133746 \nL 196.590051 135.013919 \nL 188.074441 119.681369 \nL 181.872993 108.079169 \nL 176.727975 97.972616 \nL 173.018121 90.239859 \nL 169.72265 82.85533 \nL 167.21606 76.701647 \nL 165.092221 70.852402 \nL 163.596956 66.091834 \nL 162.417982 61.572972 \nL 161.686805 57.996643 \nL 161.191194 54.595968 \nL 160.936669 51.373653 \nL 160.927563 48.331963 \nL 161.166973 45.472725 \nL 161.656701 42.79735 \nL 162.229072 40.79013 \nL 162.961576 38.9016 \nL 163.853246 37.131985 \nL 164.902534 35.481376 \nL 166.107325 33.949764 \nL 167.464914 32.537025 \nL 168.972034 31.242961 \nL 170.624853 30.067263 \nL 172.889053 28.763519 \nL 175.364282 27.643331 \nL 178.039552 26.705753 \nL 180.90268 25.949763 \nL 183.94037 25.374308 \nL 187.138291 24.978316 \nL 190.481177 24.760742 \nL 194.661279 24.73373 \nL 198.99773 24.960568 \nL 203.46014 25.439821 \nL 208.017203 26.170226 \nL 212.637002 27.150805 \nL 217.287333 28.380817 \nL 221.936014 29.85975 \nL 226.551202 31.587294 \nL 231.101698 33.56336 \nL 234.822493 35.399958 \nL 238.460451 37.40922 \nL 241.999389 39.591222 \nL 245.423922 41.946004 \nL 248.719541 44.473577 \nL 251.872713 47.173805 \nL 254.870947 50.046425 \nL 257.702849 53.091012 \nL 260.35818 56.306869 \nL 262.827907 59.693034 \nL 265.104237 63.248186 \nL 267.180604 66.970656 \nL 269.051719 70.858321 \nL 270.713545 74.908598 \nL 272.163295 79.118348 \nL 273.39939 83.483888 \nL 274.42146 88.000899 \nL 275.230265 92.664414 \nL 275.827661 97.468779 \nL 276.216544 102.407615 \nL 276.400777 107.473788 \nL 276.385112 112.659377 \nL 276.175124 117.955671 \nL 275.675529 124.443896 \nL 274.917313 131.059774 \nL 273.913704 137.783598 \nL 272.67882 144.593977 \nL 271.227457 151.467877 \nL 269.280982 159.534786 \nL 267.085261 167.612941 \nL 264.664966 175.658158 \nL 262.044407 183.62402 \nL 259.247189 191.462241 \nL 256.29591 199.123072 \nL 253.211894 206.55579 \nL 250.015003 213.70921 \nL 246.723499 220.532293 \nL 243.353931 226.974708 \nL 240.414874 232.156653 \nL 237.437684 236.993268 \nL 234.429764 241.456288 \nL 231.397645 245.519158 \nL 228.856546 248.58141 \nL 226.305546 251.335646 \nL 223.747238 253.770046 \nL 221.183931 255.874074 \nL 218.617688 257.638584 \nL 216.563837 258.800527 \nL 214.510183 259.737001 \nL 212.457557 260.445417 \nL 210.406758 260.923848 \nL 208.358569 261.171041 \nL 206.31377 261.186415 \nL 204.273162 260.970061 \nL 202.237572 260.522734 \nL 200.207877 259.845913 \nL 198.185017 258.941714 \nL 196.170009 257.812918 \nL 194.163964 256.462928 \nL 192.168099 254.895804 \nL 189.689628 252.638668 \nL 187.232062 250.059844 \nL 184.79866 247.170979 \nL 182.393062 243.984931 \nL 180.019323 240.51568 \nL 177.219244 235.999906 \nL 174.48013 231.125503 \nL 171.811538 225.921569 \nL 169.22398 220.418463 \nL 166.728858 214.647457 \nL 163.951216 207.618604 \nL 161.337201 200.319718 \nL 158.909131 192.801946 \nL 156.690467 185.115842 \nL 154.97382 178.431273 \nL 153.444449 171.689564 \nL 152.118043 164.919845 \nL 151.010164 158.150008 \nL 150.136088 151.406561 \nL 149.510549 144.714509 \nL 149.147542 138.09725 \nL 149.054995 132.655735 \nL 149.160712 127.292957 \nL 149.470905 122.01975 \nL 149.991033 116.846104 \nL 150.725694 111.78119 \nL 151.678565 106.833342 \nL 152.852301 102.010108 \nL 154.248498 97.318245 \nL 155.867593 92.763779 \nL 157.708837 88.352006 \nL 159.770232 84.087559 \nL 162.048506 79.974434 \nL 164.539093 76.016068 \nL 167.236101 72.215334 \nL 170.13233 68.57463 \nL 173.219243 65.095923 \nL 176.48703 61.780809 \nL 179.924614 58.630556 \nL 183.5197 55.646144 \nL 187.258821 52.828354 \nL 191.127416 50.177775 \nL 195.1099 47.694888 \nL 199.189745 45.380067 \nL 204.189558 42.824636 \nL 209.273108 40.512339 \nL 214.407724 38.443839 \nL 219.55978 36.619917 \nL 224.694995 35.04157 \nL 229.778771 33.710026 \nL 234.776515 32.626695 \nL 239.653984 31.793263 \nL 244.377621 31.211632 \nL 248.914886 30.883901 \nL 253.23458 30.812328 \nL 257.307151 30.999271 \nL 260.4922 31.354288 \nL 263.471606 31.891882 \nL 266.231723 32.613388 \nL 268.760146 33.520069 \nL 271.045798 34.613071 \nL 272.692984 35.622288 \nL 274.174297 36.751807 \nL 275.486064 38.001966 \nL 276.625235 39.373008 \nL 277.58939 40.865056 \nL 278.376717 42.478119 \nL 278.986062 44.212072 \nL 279.416883 46.066634 \nL 279.669278 48.041388 \nL 279.743935 50.135779 \nL 279.589341 52.920829 \nL 279.162907 55.889742 \nL 278.469787 59.04022 \nL 277.516424 62.369471 \nL 276.039715 66.595891 \nL 274.214638 71.068366 \nL 272.058571 75.779152 \nL 269.150466 81.564411 \nL 265.850979 87.64594 \nL 261.646106 94.935637 \nL 256.428059 103.53241 \nL 249.46252 114.538858 \nL 240.585356 128.121824 \nL 227.549402 147.612499 \nL 210.417419 172.81152 \nL 197.171448 191.941008 \nL 187.883607 204.994813 \nL 180.270012 215.313711 \nL 174.228876 223.141827 \nL 169.009035 229.562779 \nL 164.560239 234.720841 \nL 160.222959 239.413373 \nL 156.593961 243.041243 \nL 153.046365 246.286445 \nL 149.579599 249.133381 \nL 146.75196 251.191878 \nL 143.979798 252.957998 \nL 141.262993 254.426487 \nL 138.601607 255.593353 \nL 135.995948 256.455863 \nL 133.95193 256.925744 \nL 131.944407 257.1998 \nL 129.974005 257.278487 \nL 128.041493 257.162768 \nL 126.147842 256.85418 \nL 124.294199 256.35478 \nL 122.481907 255.667142 \nL 120.712529 254.794363 \nL 118.987832 253.740037 \nL 116.89784 252.173054 \nL 114.885137 250.337726 \nL 112.954659 248.244024 \nL 111.111882 245.902881 \nL 109.362779 243.326115 \nL 107.713902 240.526339 \nL 106.17227 237.516849 \nL 104.745367 234.311535 \nL 103.195734 230.226941 \nL 101.837231 225.906618 \nL 100.684974 221.376628 \nL 99.754638 216.663331 \nL 99.062279 211.793096 \nL 98.678813 207.633571 \nL 98.481277 203.398149 \nL 98.479005 199.101447 \nL 98.681139 194.757695 \nL 99.096526 190.380691 \nL 99.733709 185.983713 \nL 100.600719 181.579463 \nL 101.705072 177.180037 \nL 103.053607 172.796865 \nL 104.652424 168.4407 \nL 106.506796 164.121579 \nL 108.621079 159.848817 \nL 110.998602 155.631002 \nL 113.641616 151.475998 \nL 116.551201 147.390956 \nL 119.727228 143.382334 \nL 123.168261 139.455925 \nL 126.87153 135.616887 \nL 130.832918 131.869784 \nL 135.046876 128.218629 \nL 139.506416 124.666941 \nL 144.203126 121.217784 \nL 149.127136 117.873842 \nL 154.267154 114.637456 \nL 159.610469 111.510703 \nL 165.143006 108.495453 \nL 172.009999 105.026737 \nL 179.098102 101.723829 \nL 186.375736 98.589457 \nL 193.809022 95.626416 \nL 201.361988 92.837697 \nL 210.274523 89.808865 \nL 219.235778 87.027555 \nL 228.180854 84.500352 \nL 237.043327 82.234691 \nL 245.755985 80.238885 \nL 254.251608 78.522074 \nL 262.46378 77.094102 \nL 270.327696 75.965398 \nL 277.78098 75.146742 \nL 283.797738 74.70008 \nL 289.434302 74.495978 \nL 294.658221 74.540988 \nL 298.674748 74.773263 \nL 302.368488 75.186123 \nL 305.725462 75.782547 \nL 308.73337 76.565134 \nL 310.881224 77.326702 \nL 312.794314 78.209683 \nL 314.468834 79.21475 \nL 315.901741 80.342318 \nL 317.090751 81.592569 \nL 318.034352 82.96542 \nL 318.731858 84.460506 \nL 319.183291 86.07718 \nL 319.389452 87.814479 \nL 319.351896 89.671153 \nL 319.072895 91.645633 \nL 318.5554 93.73604 \nL 317.803066 95.940172 \nL 316.539007 98.851397 \nL 314.924473 101.930732 \nL 312.970561 105.171784 \nL 310.689618 108.567408 \nL 307.539826 112.835009 \nL 303.9637 117.298789 \nL 299.288623 122.732511 \nL 294.114786 128.382526 \nL 288.488819 134.21825 \nL 281.566618 141.07316 \nL 274.187504 148.076582 \nL 265.4276 156.065816 \nL 256.275893 164.095366 \nL 246.824616 172.083945 \nL 237.159558 179.949572 \nL 228.452427 186.772129 \nL 219.688041 193.377036 \nL 210.910856 199.709946 \nL 203.251324 204.987267 \nL 195.635316 209.98378 \nL 188.083246 214.668866 \nL 180.612988 219.014411 \nL 174.286917 222.449669 \nL 168.041116 225.60272 \nL 161.883342 228.461227 \nL 155.820614 231.014766 \nL 149.85935 233.254917 \nL 144.973476 234.877643 \nL 140.165569 236.275696 \nL 135.438909 237.447551 \nL 130.796784 238.3927 \nL 126.24253 239.111733 \nL 121.779633 239.606218 \nL 117.411752 239.878804 \nL 113.142735 239.933086 \nL 108.976734 239.77367 \nL 104.918169 239.406051 \nL 100.971838 238.836673 \nL 97.142858 238.072772 \nL 93.436767 237.122385 \nL 89.859463 235.994278 \nL 86.417235 234.697864 \nL 83.116807 233.243154 \nL 79.965239 231.640642 \nL 76.969962 229.901244 \nL 74.138787 228.036256 \nL 71.47979 226.057185 \nL 69.001343 223.975781 \nL 66.712049 221.803832 \nL 64.620704 219.553159 \nL 62.736185 217.235503 \nL 61.0675 214.862454 \nL 59.6236 212.44537 \nL 58.413386 209.995298 \nL 57.445642 207.522908 \nL 56.728909 205.038423 \nL 56.271473 202.551581 \nL 56.081231 200.071537 \nL 56.165665 197.606855 \nL 56.435692 195.651496 \nL 56.889269 193.714778 \nL 57.529453 191.80015 \nL 58.359013 189.910752 \nL 59.38039 188.049436 \nL 60.595741 186.218743 \nL 62.006863 184.420906 \nL 64.048179 182.222719 \nL 66.399552 180.081957 \nL 69.062026 178.000998 \nL 72.035592 175.981504 \nL 75.319256 174.024473 \nL 78.910978 172.130262 \nL 82.80766 170.298629 \nL 87.880214 168.18213 \nL 93.376495 166.152295 \nL 99.284951 164.205961 \nL 106.680602 162.035564 \nL 114.592797 159.966429 \nL 122.991972 157.990831 \nL 133.144277 155.837308 \nL 145.20407 153.533697 \nL 157.854838 151.341716 \nL 172.486646 149.022246 \nL 190.64746 146.385527 \nL 210.769536 143.705132 \nL 231.005675 141.225174 \nL 250.980512 138.989274 \nL 268.856958 137.201292 \nL 284.508209 135.856862 \nL 297.932895 134.93418 \nL 309.224599 134.391826 \nL 318.541954 134.171267 \nL 326.081402 134.202139 \nL 333.003762 134.459854 \nL 338.417067 134.873311 \nL 343.327759 135.474021 \nL 347.02273 136.123342 \nL 350.346772 136.91201 \nL 353.292296 137.843171 \nL 355.853222 138.919194 \nL 357.621944 139.885376 \nL 359.139962 140.945661 \nL 360.406304 142.100059 \nL 361.42062 143.348194 \nL 362.183196 144.689289 \nL 362.694952 146.122166 \nL 362.957389 147.645228 \nL 362.97261 149.256468 \nL 362.743279 150.953461 \nL 362.272641 152.733368 \nL 361.564427 154.59294 \nL 360.622887 156.528521 \nL 359.125058 159.04868 \nL 357.280199 161.672496 \nL 355.099387 164.39032 \nL 352.594589 167.191655 \nL 349.179083 170.647539 \nL 345.338422 174.186502 \nL 341.096676 177.786333 \nL 336.47864 181.423685 \nL 331.509495 185.074295 \nL 326.214661 188.713185 \nL 320.619442 192.314923 \nL 314.74886 195.853846 \nL 308.627446 199.304329 \nL 302.279059 202.64101 \nL 295.726789 205.839057 \nL 288.992779 208.874421 \nL 282.098235 211.724075 \nL 275.063319 214.366237 \nL 267.907163 216.780606 \nL 261.86418 218.605088 \nL 255.759587 220.248649 \nL 249.602906 221.702479 \nL 243.403265 222.958827 \nL 237.169442 224.01102 \nL 230.909896 224.853562 \nL 224.632837 225.482137 \nL 218.346277 225.893652 \nL 212.058092 226.086248 \nL 205.776088 226.05931 \nL 199.508062 225.813529 \nL 193.261874 225.35082 \nL 187.045498 224.674348 \nL 180.86709 223.788486 \nL 174.735054 222.698801 \nL 168.658072 221.411991 \nL 162.645162 219.935844 \nL 156.705736 218.279196 \nL 149.68927 216.066791 \nL 142.810571 213.627182 \nL 136.088379 210.980625 \nL 129.542392 208.148806 \nL 123.19326 205.154619 \nL 117.062524 202.021923 \nL 111.172524 198.775314 \nL 105.546314 195.439866 \nL 100.207518 192.040863 \nL 95.180141 188.603572 \nL 90.488389 185.152963 \nL 86.156437 181.713499 \nL 82.208245 178.308881 \nL 78.667218 174.961835 \nL 75.555997 171.693906 \nL 73.307261 169.045658 \nL 71.383834 166.477237 \nL 69.796761 163.998687 \nL 68.556274 161.619191 \nL 67.819669 159.792505 \nL 67.315079 158.038325 \nL 67.0463 156.360055 \nL 67.016651 154.760689 \nL 67.228932 153.242812 \nL 67.685406 151.808594 \nL 68.387774 150.459792 \nL 69.337211 149.197748 \nL 70.534265 148.023398 \nL 71.978904 146.937275 \nL 73.670506 145.939523 \nL 75.607822 145.029901 \nL 78.372141 144.015847 \nL 81.512547 143.136568 \nL 85.022667 142.389308 \nL 88.894689 141.770566 \nL 94.005803 141.191795 \nL 99.606327 140.783692 \nL 106.730673 140.510681 \nL 114.454866 140.440756 \nL 123.963299 140.587038 \nL 135.446377 141.007538 \nL 149.057817 141.747009 \nL 164.888412 142.832116 \nL 184.469107 144.399174 \nL 207.778632 146.486027 \nL 232.874614 148.94502 \nL 256.03077 151.425324 \nL 275.388025 153.717362 \nL 290.999114 155.783946 \nL 304.419588 157.790358 \nL 315.765343 159.723529 \nL 325.20063 161.561464 \nL 332.913799 163.274636 \nL 340.089706 165.096206 \nL 345.79348 166.750763 \nL 351.070123 168.49672 \nL 355.908166 170.3383 \nL 360.298392 172.27874 \nL 363.609729 173.972848 \nL 366.602342 175.737638 \nL 369.274468 177.573003 \nL 371.625375 179.478131 \nL 373.655381 181.451471 \nL 375.049221 183.077733 \nL 376.239668 184.744646 \nL 377.228214 186.450348 \nL 378.016751 188.192644 \nL 378.60753 189.969014 \nL 379.003109 191.776616 \nL 379.206374 193.612283 \nL 379.220496 195.472535 \nL 379.048931 197.353581 \nL 378.578969 199.727897 \nL 377.832364 202.119728 \nL 376.817277 204.519823 \nL 375.542289 206.918345 \nL 374.016301 209.304909 \nL 372.248435 211.668657 \nL 370.247993 213.998308 \nL 368.024394 216.282248 \nL 365.587033 218.508603 \nL 362.945307 220.665311 \nL 360.108488 222.740223 \nL 356.459624 225.105005 \nL 353.225397 226.957234 \nL 349.824446 228.689095 \nL 346.265059 230.288984 \nL 342.555183 231.745611 \nL 338.702441 233.048159 \nL 334.71403 234.186311 \nL 330.596832 235.150378 \nL 326.357305 235.931297 \nL 322.001549 236.520781 \nL 317.535291 236.911344 \nL 312.963965 237.096361 \nL 308.292656 237.070154 \nL 303.526189 236.827975 \nL 298.669173 236.366088 \nL 293.726009 235.681804 \nL 288.700979 234.773504 \nL 283.598295 233.640616 \nL 278.422126 232.283653 \nL 273.176702 230.704235 \nL 267.866362 228.905026 \nL 261.414614 226.461204 \nL 254.884142 223.714767 \nL 248.283867 220.676231 \nL 241.623532 217.358087 \nL 234.913867 213.774736 \nL 228.166716 209.942316 \nL 220.265217 205.180162 \nL 212.353749 200.133991 \nL 204.458198 194.836917 \nL 196.607312 189.324105 \nL 187.730323 182.80687 \nL 179.005071 176.112929 \nL 170.488265 169.300642 \nL 162.241021 162.429023 \nL 154.328282 155.556989 \nL 146.818018 148.742621 \nL 139.780317 142.042456 \nL 134.065819 136.316256 \nL 128.814946 130.753716 \nL 124.074244 125.387453 \nL 120.450959 120.967091 \nL 117.262438 116.730905 \nL 114.533931 112.695084 \nL 112.628421 109.495552 \nL 111.070775 106.452957 \nL 109.871988 103.574099 \nL 109.1778 101.392952 \nL 108.723673 99.323116 \nL 108.513178 97.36694 \nL 108.549233 95.526424 \nL 108.834036 93.803221 \nL 109.369089 92.198659 \nL 110.155132 90.713737 \nL 111.192153 89.349141 \nL 112.479381 88.105237 \nL 114.015262 86.982098 \nL 115.797472 85.979517 \nL 117.822912 85.097 \nL 120.087736 84.333805 \nL 123.248278 83.54613 \nL 126.764962 82.940981 \nL 130.625388 82.515504 \nL 134.815537 82.266451 \nL 140.256853 82.195343 \nL 146.120634 82.36629 \nL 152.374291 82.772118 \nL 158.982789 83.405375 \nL 167.091448 84.421566 \nL 175.570248 85.725177 \nL 184.354492 87.304682 \nL 193.377697 89.149132 \nL 202.572417 91.248388 \nL 211.871001 93.593197 \nL 221.206378 96.175341 \nL 230.512782 98.987594 \nL 239.726451 102.023718 \nL 247.503664 104.80021 \nL 255.131172 107.734287 \nL 262.574344 110.823302 \nL 269.800787 114.064815 \nL 276.780501 117.456437 \nL 283.486055 120.995734 \nL 288.846689 124.056043 \nL 293.986918 127.215336 \nL 298.895311 130.471662 \nL 303.561858 133.82277 \nL 307.977971 137.266056 \nL 312.136488 140.798495 \nL 316.031648 144.416608 \nL 319.659097 148.11639 \nL 323.015812 151.893278 \nL 326.100111 155.742097 \nL 328.911615 159.657038 \nL 331.451137 163.631624 \nL 333.720643 167.658684 \nL 335.72322 171.730348 \nL 337.462958 175.838037 \nL 338.944858 179.972462 \nL 340.174806 184.123646 \nL 341.159399 188.280927 \nL 341.90594 192.433004 \nL 342.422284 196.567956 \nL 342.716802 200.673303 \nL 342.798192 204.736044 \nL 342.675514 208.742723 \nL 342.357996 212.67951 \nL 341.854971 216.532243 \nL 341.175793 220.286544 \nL 340.141383 224.641313 \nL 338.882578 228.808234 \nL 337.41479 232.762216 \nL 336.042704 235.876716 \nL 334.543966 238.812209 \nL 332.926367 241.555097 \nL 331.197251 244.092299 \nL 329.36347 246.411312 \nL 327.431375 248.500332 \nL 325.406791 250.348327 \nL 323.295013 251.945145 \nL 321.100799 253.281529 \nL 318.828322 254.349278 \nL 316.956477 255.005238 \nL 315.038536 255.481561 \nL 313.075925 255.775597 \nL 311.06986 255.885181 \nL 309.021355 255.808678 \nL 306.931268 255.544932 \nL 304.800279 255.093339 \nL 302.079774 254.264564 \nL 299.296836 253.143081 \nL 296.451851 251.731073 \nL 293.544957 250.031977 \nL 290.576095 248.050432 \nL 287.545059 245.792242 \nL 283.825327 242.727027 \nL 280.015113 239.287394 \nL 276.113997 235.489349 \nL 271.447608 230.629217 \nL 265.963578 224.547451 \nL 260.321039 217.952087 \nL 253.790388 209.986457 \nL 245.563732 199.58163 \nL 235.541472 186.537029 \nL 221.29143 167.601489 \nL 202.190152 141.847188 \nL 188.423622 122.967524 \nL 179.159121 109.920693 \nL 171.975017 99.421431 \nL 166.659977 91.272001 \nL 162.434239 84.402 \nL 159.16846 78.703231 \nL 156.343178 73.314005 \nL 154.297205 68.9524 \nL 152.617928 64.837366 \nL 151.510727 61.601644 \nL 150.67816 58.54556 \nL 150.127341 55.672127 \nL 149.864069 52.983835 \nL 149.863467 50.967882 \nL 150.051273 49.072529 \nL 150.428417 47.298423 \nL 150.995186 45.646029 \nL 151.751225 44.115654 \nL 152.695508 42.70744 \nL 153.826361 41.421386 \nL 155.141431 40.257359 \nL 156.637711 39.215103 \nL 158.311561 38.294251 \nL 160.158666 37.494324 \nL 162.703626 36.663615 \nL 165.500606 36.019708 \nL 168.537234 35.561208 \nL 171.799789 35.286596 \nL 175.273294 35.194271 \nL 179.697181 35.321777 \nL 184.371745 35.706587 \nL 189.26529 36.34587 \nL 194.344564 37.236978 \nL 199.5751 38.377405 \nL 204.921535 39.764841 \nL 210.34798 41.397221 \nL 215.81836 43.272734 \nL 221.296759 45.389763 \nL 226.747774 47.746928 \nL 232.136829 50.343018 \nL 237.430496 53.176896 \nL 241.745895 55.719336 \nL 245.955204 58.4255 \nL 250.041746 61.294682 \nL 253.98986 64.326046 \nL 257.784987 67.518602 \nL 261.413747 70.871146 \nL 264.863981 74.382219 \nL 268.124819 78.050051 \nL 271.186709 81.872493 \nL 274.041424 85.846988 \nL 276.682108 89.970481 \nL 279.103249 94.239395 \nL 281.300682 98.649574 \nL 283.271575 103.196233 \nL 285.014373 107.873905 \nL 286.528776 112.676423 \nL 287.815672 117.596852 \nL 288.877099 122.627491 \nL 289.71614 127.759832 \nL 290.336902 132.984539 \nL 290.744378 138.291444 \nL 290.944403 143.669537 \nL 290.943531 149.10698 \nL 290.748976 154.591104 \nL 290.27079 161.214651 \nL 289.539148 167.861239 \nL 288.56901 174.50461 \nL 287.375851 181.11712 \nL 285.975384 187.669881 \nL 284.383401 194.132938 \nL 282.615551 200.475461 \nL 280.687209 206.665963 \nL 278.613241 212.67257 \nL 276.407949 218.463258 \nL 274.08492 224.006147 \nL 271.656919 229.269797 \nL 269.135837 234.223484 \nL 266.532635 238.837544 \nL 263.857313 243.083679 \nL 261.57934 246.321767 \nL 259.262291 249.271388 \nL 256.910441 251.91922 \nL 254.527617 254.253067 \nL 252.117241 256.262006 \nL 250.171162 257.628747 \nL 248.210789 258.777159 \nL 246.237386 259.703606 \nL 244.252084 260.405081 \nL 242.25591 260.879237 \nL 240.249807 261.124371 \nL 238.23463 261.139446 \nL 236.211165 260.924105 \nL 234.18016 260.478671 \nL 232.142329 259.804125 \nL 230.098367 258.902117 \nL 228.048971 257.774965 \nL 225.994852 256.425622 \nL 223.4217 254.432008 \nL 220.8439 252.105158 \nL 218.263182 249.454828 \nL 215.681485 246.492083 \nL 213.101003 243.229216 \nL 210.009554 238.936602 \nL 206.92839 234.256357 \nL 203.86322 229.215523 \nL 200.316184 222.916972 \nL 196.811807 216.214058 \nL 193.363766 209.155985 \nL 189.512036 200.719267 \nL 185.780024 191.960085 \nL 182.19648 182.953807 \nL 178.792795 173.774418 \nL 175.602611 164.493617 \nL 172.66135 155.179997 \nL 170.320685 147.054729 \nL 168.223463 138.994788 \nL 166.394417 131.038183 \nL 165.058476 124.327179 \nL 163.952009 117.738296 \nL 163.088941 111.290245 \nL 162.482196 105.000086 \nL 162.143511 98.883232 \nL 162.073536 93.928233 \nL 162.202054 89.110333 \nL 162.533324 84.435935 \nL 163.070697 79.910722 \nL 163.81652 75.539696 \nL 164.772082 71.32723 \nL 165.937557 67.277053 \nL 167.311984 63.392328 \nL 168.893207 59.675709 \nL 170.677852 56.129323 \nL 172.661334 52.754872 \nL 174.837831 49.553658 \nL 177.200296 46.526628 \nL 179.740482 43.674412 \nL 182.448966 40.99741 \nL 185.315191 38.495763 \nL 188.327505 36.169462 \nL 191.473241 34.018365 \nL 194.738761 32.042249 \nL 198.109565 30.240841 \nL 201.57035 28.61384 \nL 205.105117 27.160974 \nL 209.4211 25.647035 \nL 213.790125 24.383212 \nL 218.181888 23.369395 \nL 222.565644 22.605702 \nL 226.910516 22.092489 \nL 231.185784 21.830387 \nL 235.361206 21.820235 \nL 239.407299 22.063111 \nL 242.659712 22.459693 \nL 245.786795 23.033695 \nL 248.773549 23.785991 \nL 251.605824 24.717493 \nL 254.270407 25.829097 \nL 256.755106 27.121701 \nL 259.048847 28.596125 \nL 261.141702 30.253093 \nL 262.665465 31.710525 \nL 264.051196 33.285436 \nL 265.295557 34.977983 \nL 266.39574 36.788257 \nL 267.349489 38.716218 \nL 268.155081 40.761756 \nL 268.811343 42.924599 \nL 269.420767 45.792503 \nL 269.795846 48.842005 \nL 269.937798 52.071634 \nL 269.849051 55.479514 \nL 269.533218 59.063322 \nL 268.995032 62.820259 \nL 268.063903 67.552404 \nL 266.83276 72.522345 \nL 265.315228 77.722254 \nL 263.203176 84.067254 \nL 260.74848 90.696338 \nL 257.56003 98.595919 \nL 254.005745 106.809622 \nL 249.627138 116.380026 \nL 244.36742 127.354736 \nL 237.628326 140.874418 \nL 229.960044 155.758908 \nL 221.459543 171.787878 \nL 212.879289 187.486229 \nL 205.568236 200.406814 \nL 199.558124 210.619021 \nL 194.238547 219.259811 \nL 189.593857 226.422471 \nL 185.035657 233.030287 \nL 181.121938 238.309099 \nL 177.824395 242.429885 \nL 174.580269 246.154706 \nL 171.389909 249.46376 \nL 168.772453 251.891004 \nL 166.192479 254.008489 \nL 163.650066 255.808636 \nL 161.145373 257.285236 \nL 158.67869 258.43344 \nL 156.733028 259.113208 \nL 154.812339 259.579528 \nL 152.917091 259.831934 \nL 151.047879 259.870551 \nL 149.205424 259.696143 \nL 147.390611 259.310079 \nL 145.604496 258.714303 \nL 143.8483 257.911378 \nL 142.123434 256.904418 \nL 140.431499 255.697134 \nL 138.36567 253.912801 \nL 136.358125 251.831485 \nL 134.413362 249.463785 \nL 132.536406 246.821399 \nL 130.732813 243.917028 \nL 129.008634 240.764301 \nL 127.05374 236.673573 \nL 125.234936 232.272272 \nL 123.565415 227.587784 \nL 122.059204 222.648387 \nL 120.731059 217.482937 \nL 119.596306 212.120607 \nL 118.670716 206.590609 \nL 117.970345 200.921916 \nL 117.51126 195.143023 \nL 117.324538 190.263194 \nL 117.325552 185.341797 \nL 117.523099 180.393947 \nL 117.925612 175.43419 \nL 118.541083 170.476439 \nL 119.376932 165.533934 \nL 120.439966 160.619195 \nL 121.736243 155.743999 \nL 123.270919 150.919358 \nL 125.048287 146.155506 \nL 127.071624 141.461899 \nL 129.34307 136.847215 \nL 131.863629 132.319375 \nL 134.633058 127.885558 \nL 137.649814 123.552231 \nL 140.911005 119.325181 \nL 144.412368 115.209557 \nL 148.148214 111.209918 \nL 152.111426 107.330277 \nL 156.29343 103.574153 \nL 160.684232 99.944639 \nL 165.272406 96.444437 \nL 170.045126 93.075933 \nL 174.988223 89.841244 \nL 180.086206 86.742289 \nL 186.38461 83.205167 \nL 192.850797 79.868909 \nL 199.45145 76.73628 \nL 206.151284 73.810084 \nL 212.913323 71.093261 \nL 219.699196 68.588908 \nL 226.469457 66.30041 \nL 234.29474 63.908189 \nL 241.979684 61.821111 \nL 249.459997 60.046075 \nL 256.672321 58.590494 \nL 262.594243 57.603026 \nL 268.236625 56.861057 \nL 273.563857 56.369726 \nL 278.542431 56.134105 \nL 283.141287 56.159091 \nL 286.66305 56.38236 \nL 289.886558 56.792331 \nL 292.798532 57.391246 \nL 295.387337 58.181054 \nL 297.218962 58.951463 \nL 298.83309 59.845742 \nL 300.226179 60.864374 \nL 301.395443 62.007672 \nL 302.338844 63.275737 \nL 303.055091 64.66847 \nL 303.543662 66.185538 \nL 303.804756 67.826402 \nL 303.839326 69.590256 \nL 303.649041 71.476079 \nL 303.23627 73.482577 \nL 302.604056 75.608205 \nL 301.510886 78.429989 \nL 300.089236 81.431003 \nL 298.349096 84.606524 \nL 295.856527 88.639875 \nL 292.943433 92.906265 \nL 289.045303 98.162476 \nL 284.64837 103.698957 \nL 279.068526 110.339853 \nL 272.165193 118.165089 \nL 263.833704 127.230278 \nL 254.022279 137.550639 \nL 242.746266 149.082006 \nL 230.096742 161.699482 \nL 217.232869 174.222446 \nL 205.349096 185.494231 \nL 194.567275 195.420844 \nL 184.93144 203.986666 \nL 176.436922 211.236256 \nL 169.051437 217.256327 \nL 161.837446 222.829984 \nL 155.675184 227.308009 \nL 149.659293 231.387373 \nL 144.622921 234.54982 \nL 139.699957 237.391036 \nL 134.892456 239.900778 \nL 130.202274 242.070759 \nL 126.384741 243.614972 \nL 122.651083 244.916342 \nL 119.002546 245.973366 \nL 115.44058 246.785596 \nL 111.966853 247.353614 \nL 108.583301 247.679054 \nL 105.292206 247.764564 \nL 102.096201 247.613781 \nL 98.998319 247.231362 \nL 96.001985 246.622868 \nL 93.111141 245.794782 \nL 90.330143 244.754435 \nL 87.66381 243.509937 \nL 85.11745 242.070162 \nL 82.696811 240.444614 \nL 80.408151 238.643429 \nL 78.258131 236.677242 \nL 76.253799 234.557117 \nL 74.40264 232.294477 \nL 72.712434 229.901044 \nL 71.191308 227.388705 \nL 69.847603 224.769446 \nL 68.689871 222.055296 \nL 67.726809 219.258222 \nL 66.967161 216.390047 \nL 66.419667 213.462383 \nL 66.093037 210.486567 \nL 65.995791 207.473566 \nL 66.136269 204.433939 \nL 66.52243 201.377788 \nL 67.161938 198.314677 \nL 68.061927 195.25362 \nL 69.229014 192.203023 \nL 70.669204 189.170672 \nL 72.387781 186.163689 \nL 74.38929 183.188544 \nL 76.677431 180.251021 \nL 79.254995 177.356252 \nL 82.123832 174.508688 \nL 85.284755 171.712151 \nL 88.737542 168.969833 \nL 92.480851 166.284332 \nL 96.512197 163.657694 \nL 100.827946 161.091446 \nL 105.423255 158.586653 \nL 111.298066 155.66291 \nL 117.553932 152.82903 \nL 124.175612 150.084875 \nL 131.145326 147.429869 \nL 138.442822 144.863165 \nL 147.34053 141.978999 \nL 156.613522 139.212293 \nL 166.217741 136.56205 \nL 177.537924 133.675518 \nL 189.150804 130.942059 \nL 202.462113 128.054311 \nL 215.914646 125.373627 \nL 229.377983 122.91339 \nL 242.717579 120.691686 \nL 255.796664 118.73116 \nL 268.478302 117.058627 \nL 279.308025 115.838132 \nL 289.625025 114.892078 \nL 298.162464 114.308226 \nL 306.184071 113.96904 \nL 313.637816 113.890465 \nL 319.53847 114.042132 \nL 324.959523 114.405462 \nL 329.093074 114.875841 \nL 332.864161 115.503083 \nL 336.261898 116.290846 \nL 339.276995 117.242129 \nL 341.408422 118.122471 \nL 343.286979 119.109798 \nL 344.910287 120.204626 \nL 346.276665 121.407116 \nL 347.385151 122.717073 \nL 348.235492 124.133929 \nL 348.828141 125.656731 \nL 349.164242 127.284134 \nL 349.24558 129.014402 \nL 349.07467 130.845392 \nL 348.654589 132.774558 \nL 347.989037 134.798958 \nL 347.082315 136.915247 \nL 345.617158 139.6841 \nL 343.793281 142.582518 \nL 341.622363 145.601449 \nL 339.117089 148.730969 \nL 335.688571 152.617175 \nL 331.823039 156.627073 \nL 327.546601 160.739178 \nL 322.886274 164.930726 \nL 317.869711 169.17785 \nL 311.604078 174.169997 \nL 304.935905 179.163578 \nL 297.90898 184.117315 \nL 290.566027 188.989621 \nL 282.948317 193.739101 \nL 276.230121 197.681466 \nL 269.3627 201.478751 \nL 262.368495 205.106916 \nL 255.268696 208.543025 \nL 248.083218 211.765465 \nL 240.830743 214.754177 \nL 233.528741 217.490802 \nL 227.417733 219.566843 \nL 221.292613 221.447935 \nL 215.161838 223.126706 \nL 209.033469 224.596889 \nL 202.91522 225.853341 \nL 196.81453 226.892119 \nL 190.738612 227.710467 \nL 184.694533 228.306858 \nL 178.689267 228.681001 \nL 172.729768 228.833801 \nL 166.823028 228.767417 \nL 160.976144 228.485184 \nL 155.196375 227.99162 \nL 149.491184 227.292369 \nL 143.868304 226.394164 \nL 138.335767 225.304769 \nL 132.901945 224.032906 \nL 127.575569 222.588224 \nL 121.338613 220.641296 \nL 115.286064 218.480138 \nL 109.435248 216.125596 \nL 103.804292 213.599626 \nL 98.412106 210.925077 \nL 93.278245 208.125413 \nL 88.422825 205.224495 \nL 83.866403 202.246329 \nL 79.629804 199.214804 \nL 75.733957 196.153465 \nL 72.199695 193.085282 \nL 69.047534 190.032417 \nL 66.297423 187.016014 \nL 64.326683 184.544627 \nL 62.659107 182.123241 \nL 61.304706 179.761938 \nL 60.272832 177.470001 \nL 59.685341 175.692102 \nL 59.313766 173.96794 \nL 59.161746 172.301064 \nL 59.232524 170.694642 \nL 59.528891 169.151453 \nL 60.053236 167.673881 \nL 60.807441 166.263921 \nL 61.792943 164.92317 \nL 63.010672 163.65284 \nL 64.461073 162.453748 \nL 66.144038 161.326339 \nL 68.058936 160.270685 \nL 70.776967 159.051557 \nL 73.852229 157.942771 \nL 77.28007 156.942225 \nL 81.054551 156.047087 \nL 86.031296 155.107076 \nL 91.482083 154.306568 \nL 98.417518 153.537866 \nL 105.943668 152.933121 \nL 115.223087 152.422421 \nL 126.457041 152.048323 \nL 139.818486 151.839735 \nL 156.887464 151.812803 \nL 179.444812 152.016717 \nL 212.362155 152.55404 \nL 251.701833 153.408378 \nL 277.348348 154.166997 \nL 295.810801 154.931221 \nL 309.117481 155.683769 \nL 320.30945 156.522079 \nL 329.56201 157.422388 \nL 337.075941 158.34836 \nL 344.012486 159.418351 \nL 349.476729 160.460155 \nL 354.480101 161.624915 \nL 359.009314 162.919027 \nL 362.413542 164.100058 \nL 365.475898 165.376851 \nL 368.192587 166.750985 \nL 370.560998 168.223277 \nL 372.203977 169.471813 \nL 373.622984 170.782801 \nL 374.818304 172.155494 \nL 375.790731 173.588781 \nL 376.5415 175.08118 \nL 377.072293 176.630832 \nL 377.385224 178.235504 \nL 377.482829 179.892586 \nL 377.368026 181.599096 \nL 377.044102 183.351685 \nL 376.514705 185.146648 \nL 375.570078 187.443731 \nL 374.31901 189.792008 \nL 372.77054 192.182046 \nL 370.934285 194.603682 \nL 368.820308 197.046093 \nL 366.439075 199.497846 \nL 363.24399 202.435418 \nL 359.698544 205.347693 \nL 355.821956 208.212426 \nL 351.633504 211.006861 \nL 347.1523 213.70794 \nL 342.397148 216.292571 \nL 337.38643 218.737824 \nL 332.137967 221.021225 \nL 326.668883 223.120929 \nL 320.995646 225.016012 \nL 316.123303 226.424621 \nL 311.128694 227.666596 \nL 306.020085 228.731913 \nL 300.805362 229.611349 \nL 295.492077 230.296588 \nL 290.087434 230.780232 \nL 284.598373 231.055881 \nL 279.031572 231.118223 \nL 273.393513 230.963016 \nL 267.690516 230.587179 \nL 261.928822 229.988771 \nL 256.114629 229.167053 \nL 250.254167 228.122456 \nL 244.353761 226.856598 \nL 238.419895 225.372304 \nL 232.459278 223.673568 \nL 226.478913 221.765497 \nL 220.486153 219.654334 \nL 213.289452 216.863199 \nL 206.100441 213.804732 \nL 198.934539 210.495474 \nL 191.808377 206.953795 \nL 184.739855 203.199734 \nL 177.748229 199.254795 \nL 169.716107 194.44161 \nL 161.85189 189.43774 \nL 154.193136 184.282757 \nL 146.779722 179.017313 \nL 139.653538 173.682648 \nL 132.858195 168.320118 \nL 126.438586 162.970731 \nL 120.440347 157.674672 \nL 114.909332 152.47087 \nL 110.574747 148.112183 \nL 106.644758 143.870928 \nL 103.146361 139.76807 \nL 100.105304 135.823134 \nL 97.937895 132.669318 \nL 96.11776 129.647148 \nL 94.6568 126.765254 \nL 93.75383 124.565969 \nL 93.092442 122.464972 \nL 92.676896 120.465425 \nL 92.510881 118.570096 \nL 92.59744 116.78138 \nL 92.938952 115.101272 \nL 93.537109 113.531392 \nL 94.392904 112.072981 \nL 95.506612 110.726901 \nL 96.877757 109.493655 \nL 98.505145 108.373392 \nL 100.386831 107.36593 \nL 102.520119 106.470754 \nL 104.901584 105.687051 \nL 108.221039 104.862473 \nL 111.912068 104.207584 \nL 115.963308 103.71905 \nL 120.361779 103.393017 \nL 126.077666 103.210199 \nL 132.244637 103.247053 \nL 138.832059 103.494856 \nL 147.004408 104.038443 \nL 155.647411 104.841998 \nL 164.701283 105.890742 \nL 175.4714 107.371065 \nL 186.600086 109.132399 \nL 197.98896 111.156014 \nL 209.539003 113.425241 \nL 221.151882 115.925768 \nL 232.731188 118.645766 \nL 244.183602 121.575886 \nL 254.030165 124.306542 \nL 263.654698 127.189298 \nL 273.004112 130.221788 \nL 282.029159 133.402435 \nL 289.47245 136.245808 \nL 296.618454 139.196688 \nL 303.44389 142.254484 \nL 309.928088 145.418405 \nL 316.053 148.687297 \nL 320.87151 151.490379 \nL 325.422361 154.363901 \nL 329.699444 157.306175 \nL 333.697875 160.315075 \nL 337.414061 163.387992 \nL 340.845654 166.521789 \nL 343.991493 169.712754 \nL 346.851578 172.956574 \nL 349.427028 176.2483 \nL 351.72 179.582338 \nL 353.733665 182.952416 \nL 355.472114 186.351608 \nL 356.940283 189.772301 \nL 358.143858 193.206231 \nL 359.089289 196.644498 \nL 359.783603 200.077576 \nL 360.234348 203.495368 \nL 360.449546 206.887228 \nL 360.43756 210.242018 \nL 360.207024 213.548163 \nL 359.766807 216.793714 \nL 359.12583 219.966409 \nL 358.293099 223.053764 \nL 357.277578 226.043115 \nL 356.088071 228.921728 \nL 354.733257 231.676869 \nL 353.221518 234.29592 \nL 351.560992 236.766421 \nL 349.759471 239.07617 \nL 347.824332 241.213321 \nL 345.76253 243.166508 \nL 343.580577 244.924867 \nL 341.284508 246.478128 \nL 338.879841 247.816729 \nL 336.371617 248.931853 \nL 333.764351 249.815532 \nL 331.062058 250.460659 \nL 328.26826 250.8611 \nL 325.385989 251.011675 \nL 322.417845 250.908251 \nL 319.365986 250.547763 \nL 316.232176 249.928204 \nL 313.017831 249.048692 \nL 309.724041 247.909412 \nL 306.35163 246.511682 \nL 302.901242 244.857885 \nL 299.373338 242.951474 \nL 295.038045 240.336731 \nL 290.592257 237.374401 \nL 286.036649 234.076104 \nL 280.584239 229.821602 \nL 274.985887 225.152646 \nL 268.413459 219.344247 \nL 261.662358 213.074808 \nL 253.867275 205.530829 \nL 244.98282 196.625002 \nL 234.066256 185.354138 \nL 221.096877 171.636741 \nL 205.281953 154.570032 \nL 190.709097 138.53832 \nL 178.566738 124.868547 \nL 169.656428 114.538576 \nL 162.196885 105.565991 \nL 156.117716 97.897482 \nL 151.297631 91.447284 \nL 147.582571 86.112377 \nL 144.803206 81.784401 \nL 142.422095 77.693723 \nL 140.460224 73.849764 \nL 139.159106 70.840947 \nL 138.171474 68.013344 \nL 137.505298 65.370502 \nL 137.208217 63.391273 \nL 137.123645 61.533441 \nL 137.253516 59.798044 \nL 137.599061 58.185886 \nL 138.160825 56.697565 \nL 138.938622 55.333455 \nL 139.93155 54.093738 \nL 141.137964 52.978414 \nL 142.555501 51.98731 \nL 144.181066 51.120068 \nL 146.010836 50.376206 \nL 148.040303 49.75507 \nL 150.849946 49.150079 \nL 153.951761 48.733907 \nL 157.332533 48.50457 \nL 160.977555 48.459917 \nL 165.677657 48.64686 \nL 170.704865 49.092244 \nL 176.026634 49.791794 \nL 181.608402 50.741226 \nL 187.413933 51.936308 \nL 193.405666 53.372954 \nL 199.54508 55.047296 \nL 205.793084 56.955682 \nL 212.110372 59.094758 \nL 218.457808 61.461412 \nL 224.796776 64.052779 \nL 231.089532 66.866227 \nL 237.299533 69.899301 \nL 243.391751 73.149633 \nL 249.33294 76.614858 \nL 254.146001 79.66494 \nL 258.815648 82.861033 \nL 263.326218 86.201449 \nL 267.663303 89.684319 \nL 271.813807 93.307511 \nL 275.765984 97.06857 \nL 279.509488 100.96466 \nL 283.035373 104.992528 \nL 286.336113 109.148433 \nL 289.405609 113.428088 \nL 292.239183 117.826633 \nL 294.833517 122.33856 \nL 297.186644 126.957673 \nL 299.29792 131.677076 \nL 301.16793 136.489116 \nL 302.798442 141.385362 \nL 304.192344 146.356598 \nL 305.353549 151.392799 \nL 306.286961 156.483138 \nL 306.998283 161.615984 \nL 307.494046 166.778922 \nL 307.781429 171.95877 \nL 307.868189 177.141615 \nL 307.762593 182.312853 \nL 307.394147 188.481519 \nL 306.776615 194.584063 \nL 305.925841 200.592018 \nL 304.857802 206.476086 \nL 303.588464 212.206358 \nL 302.133539 217.752535 \nL 300.508334 223.084217 \nL 298.727599 228.17115 \nL 296.805372 232.983543 \nL 294.754896 237.492311 \nL 292.588523 241.669438 \nL 290.702916 244.877725 \nL 288.750801 247.822531 \nL 286.737723 250.490153 \nL 284.668733 252.867889 \nL 282.548383 254.944142 \nL 280.380716 256.708502 \nL 278.614922 257.889264 \nL 276.822755 258.860512 \nL 275.005664 259.618776 \nL 273.16489 260.161192 \nL 271.301555 260.485503 \nL 269.416592 260.590065 \nL 267.510833 260.473873 \nL 265.584959 260.136571 \nL 263.639545 259.578415 \nL 261.675084 258.80032 \nL 259.69198 257.803803 \nL 257.690577 256.591032 \nL 255.163528 254.775212 \nL 252.608848 252.632533 \nL 250.027032 250.171055 \nL 247.418593 247.400175 \nL 244.254174 243.681747 \nL 241.053587 239.553672 \nL 237.818542 235.038619 \nL 234.003782 229.314864 \nL 230.149859 223.139731 \nL 225.705312 215.586554 \nL 220.668359 206.539545 \nL 215.613181 197.007886 \nL 210.007811 185.97316 \nL 203.908446 173.456005 \nL 197.948966 160.716618 \nL 192.213385 147.92645 \nL 187.272768 136.389518 \nL 183.114357 126.174365 \nL 179.289478 116.194195 \nL 176.217585 107.573414 \nL 173.497506 99.231409 \nL 171.437559 92.189664 \nL 169.703132 85.410993 \nL 168.493537 79.824514 \nL 167.554052 74.455767 \nL 166.896744 69.313884 \nL 166.572107 65.207989 \nL 166.455708 61.269032 \nL 166.551617 57.50039 \nL 166.862825 53.904886 \nL 167.391255 50.484902 \nL 168.137654 47.242315 \nL 169.101593 44.17861 \nL 170.281407 41.294851 \nL 171.674205 38.591791 \nL 173.275851 36.069864 \nL 175.080937 33.72921 \nL 177.082843 31.569746 \nL 179.273725 29.591189 \nL 181.644558 27.793085 \nL 184.185192 26.174875 \nL 186.884395 24.735896 \nL 189.729916 23.47546 \nL 192.708567 22.39281 \nL 195.806301 21.487233 \nL 199.008311 20.758031 \nL 202.299109 20.204574 \nL 206.342627 19.771633 \nL 210.462262 19.590178 \nL 214.628746 19.659667 \nL 218.812422 19.979778 \nL 222.983536 20.550476 \nL 227.11253 21.371962 \nL 231.170333 22.444684 \nL 234.477009 23.53097 \nL 237.698735 24.792602 \nL 240.820284 26.23007 \nL 243.827122 27.843938 \nL 246.705519 29.634721 \nL 249.442625 31.602942 \nL 252.026544 33.749025 \nL 254.446403 36.073334 \nL 256.692414 38.57606 \nL 258.755915 41.25723 \nL 260.629417 44.116642 \nL 262.306612 47.153833 \nL 263.782412 50.368055 \nL 265.052939 53.758204 \nL 266.11554 57.322761 \nL 266.968751 61.059825 \nL 267.61227 64.966997 \nL 268.046932 69.041381 \nL 268.274672 73.279522 \nL 268.298455 77.677402 \nL 268.122229 82.230391 \nL 267.653647 87.891236 \nL 266.91405 93.757394 \nL 265.914955 99.817012 \nL 264.669199 106.056749 \nL 262.922727 113.544131 \nL 260.883213 121.230014 \nL 258.575503 129.085172 \nL 255.642522 138.228417 \nL 252.431174 147.498189 \nL 248.533154 158.006633 \nL 244.383728 168.514984 \nL 240.032624 178.929316 \nL 235.525751 189.15065 \nL 230.904526 199.076224 \nL 226.20542 208.601042 \nL 221.988504 216.645803 \nL 217.753495 224.217325 \nL 214.04531 230.398186 \nL 210.343829 236.116521 \nL 207.181887 240.617029 \nL 204.033794 244.720616 \nL 200.902618 248.403897 \nL 198.308082 251.136907 \nL 195.728338 253.55238 \nL 193.164502 255.640678 \nL 190.617596 257.393525 \nL 188.592917 258.549624 \nL 186.580203 259.483823 \nL 184.579981 260.193932 \nL 182.592797 260.678423 \nL 180.619262 260.936408 \nL 178.660051 260.967653 \nL 176.715922 260.7726 \nL 174.787728 260.352327 \nL 172.876438 259.708578 \nL 170.983141 258.843743 \nL 169.109076 257.760836 \nL 167.255608 256.463476 \nL 165.424279 254.955896 \nL 163.168879 252.783158 \nL 160.954491 250.300047 \nL 158.785296 247.518384 \nL 156.66596 244.451126 \nL 154.601606 241.112287 \nL 152.204914 236.768281 \nL 149.906155 232.082141 \nL 147.716924 227.08264 \nL 145.649736 221.799657 \nL 143.71798 216.263869 \nL 141.935807 210.506444 \nL 140.317996 204.558747 \nL 138.879889 198.45207 \nL 137.637167 192.217359 \nL 136.605727 185.884958 \nL 135.801456 179.484388 \nL 135.240057 173.044147 \nL 134.936803 166.591533 \nL 134.891864 161.223661 \nL 135.044381 155.879467 \nL 135.40185 150.572426 \nL 135.971134 145.31523 \nL 136.758413 140.119757 \nL 137.76904 134.997063 \nL 139.007487 129.957382 \nL 140.477252 125.010114 \nL 142.180761 120.16385 \nL 144.119325 115.426389 \nL 146.293044 110.804745 \nL 148.700782 106.305204 \nL 151.340081 101.933343 \nL 154.207152 97.694069 \nL 157.296827 93.591682 \nL 160.602556 89.629908 \nL 164.116402 85.811966 \nL 167.82902 82.140605 \nL 171.729709 78.61816 \nL 175.806418 75.246639 \nL 180.045802 72.027735 \nL 184.433272 68.96291 \nL 188.953052 66.053458 \nL 193.588269 63.300508 \nL 199.277646 60.205035 \nL 205.074781 57.338201 \nL 210.94538 54.701775 \nL 216.853798 52.297584 \nL 222.76335 50.127627 \nL 228.636649 48.194121 \nL 234.435945 46.499491 \nL 240.123486 45.046442 \nL 245.661881 43.837896 \nL 251.014461 42.876992 \nL 256.145637 42.167073 \nL 261.021262 41.711579 \nL 265.608969 41.514052 \nL 269.878468 41.577988 \nL 273.173119 41.833457 \nL 276.212659 42.274723 \nL 278.983742 42.903539 \nL 281.474488 43.721464 \nL 283.258251 44.512858 \nL 284.851413 45.426728 \nL 286.250098 46.463514 \nL 287.451116 47.623556 \nL 288.451982 48.907036 \nL 289.250898 50.313997 \nL 289.846762 51.844297 \nL 290.239191 53.497662 \nL 290.428471 55.273578 \nL 290.415576 57.171389 \nL 290.202137 59.190214 \nL 289.656857 61.882282 \nL 288.807637 64.759185 \nL 287.661748 67.817826 \nL 286.227795 71.054578 \nL 284.140762 75.16786 \nL 281.672373 79.523297 \nL 278.339087 84.898054 \nL 274.552604 90.572571 \nL 269.720935 97.400219 \nL 263.71647 105.479708 \nL 256.445048 114.891995 \nL 246.247919 127.6885 \nL 232.90742 144.045778 \nL 214.784067 165.904855 \nL 198.429919 185.311508 \nL 186.690646 198.920664 \nL 177.748105 208.974226 \nL 169.871991 217.490217 \nL 163.759325 223.802017 \nL 157.82114 229.613649 \nL 152.771328 234.251816 \nL 147.859151 238.442997 \nL 143.758543 241.660415 \nL 139.759261 244.516888 \nL 135.86113 247.000506 \nL 132.689886 248.778256 \nL 129.58887 250.285786 \nL 126.558293 251.519733 \nL 123.598616 252.477899 \nL 120.710553 253.159252 \nL 117.895128 253.563927 \nL 115.153757 253.693268 \nL 112.488249 253.549765 \nL 109.900844 253.137071 \nL 107.394291 252.459976 \nL 104.971802 251.524357 \nL 102.63712 250.337112 \nL 100.394515 248.906186 \nL 98.248786 247.24041 \nL 96.205271 245.349498 \nL 94.269804 243.24395 \nL 92.448781 240.934982 \nL 90.749061 238.434413 \nL 89.177949 235.754622 \nL 87.743203 232.908409 \nL 86.452931 229.908939 \nL 85.31562 226.76961 \nL 84.340022 223.50402 \nL 83.535112 220.1258 \nL 82.910012 216.64858 \nL 82.473917 213.08587 \nL 82.236035 209.450989 \nL 82.20554 205.756987 \nL 82.391395 202.016569 \nL 82.802333 198.242029 \nL 83.446745 194.445192 \nL 84.332623 190.637339 \nL 85.467439 186.82919 \nL 86.858023 183.030848 \nL 88.510568 179.251774 \nL 90.430444 175.500757 \nL 92.622164 171.785917 \nL 95.089343 168.114674 \nL 97.834529 164.493772 \nL 100.859202 160.929277 \nL 104.163721 157.426599 \nL 107.747198 153.990515 \nL 111.607508 150.625198 \nL 115.741228 147.334263 \nL 120.143641 144.120803 \nL 124.808629 140.98744 \nL 129.728756 137.936377 \nL 134.895178 134.969458 \nL 140.297696 132.088224 \nL 147.075984 128.74567 \nL 154.154999 125.530283 \nL 161.509537 122.443771 \nL 169.111788 119.487768 \nL 176.931494 116.663984 \nL 186.285755 113.539283 \nL 195.836269 110.600843 \nL 205.524233 107.853165 \nL 215.287911 105.301772 \nL 225.063169 102.953348 \nL 236.16448 100.528146 \nL 247.09474 98.392141 \nL 257.753366 96.561064 \nL 266.778429 95.222696 \nL 275.453835 94.143703 \nL 283.716411 93.337205 \nL 291.505881 92.816579 \nL 297.762995 92.607945 \nL 303.597734 92.627249 \nL 308.979603 92.882224 \nL 313.098598 93.279897 \nL 316.869654 93.849932 \nL 320.280139 94.595632 \nL 323.319124 95.519775 \nL 325.476586 96.389088 \nL 327.386526 97.374884 \nL 329.045804 98.477739 \nL 330.452073 99.697923 \nL 331.60376 101.035407 \nL 332.500039 102.48983 \nL 333.140836 104.060499 \nL 333.526817 105.746372 \nL 333.65941 107.546066 \nL 333.540728 109.457814 \nL 333.173561 111.479512 \nL 332.561409 113.608668 \nL 331.708394 115.842436 \nL 330.310623 118.776837 \nL 328.554374 121.862584 \nL 326.451348 125.09175 \nL 324.01441 128.45557 \nL 320.668964 132.656372 \nL 316.888384 137.019276 \nL 312.699795 141.52483 \nL 307.335113 146.933784 \nL 301.499655 152.473456 \nL 295.240248 158.106872 \nL 288.603754 163.795532 \nL 281.636455 169.499795 \nL 274.38347 175.179293 \nL 266.888285 180.793349 \nL 259.192364 186.301408 \nL 251.334822 191.66347 \nL 243.352195 196.840547 \nL 235.278342 201.795052 \nL 227.144371 206.491277 \nL 220.146142 210.285607 \nL 213.140996 213.846035 \nL 206.143951 217.15462 \nL 199.168787 220.19519 \nL 192.228175 222.953469 \nL 185.333805 225.417225 \nL 179.631675 227.237997 \nL 173.975133 228.842518 \nL 168.369844 230.227215 \nL 162.821267 231.389623 \nL 157.334742 232.328454 \nL 151.915555 233.043544 \nL 146.568974 233.535854 \nL 141.300353 233.807469 \nL 136.115153 233.86161 \nL 131.019002 233.702559 \nL 126.017765 233.33563 \nL 121.117558 232.767164 \nL 116.324787 232.004434 \nL 111.646217 231.055591 \nL 107.088928 229.929634 \nL 102.660406 228.636316 \nL 98.368493 227.186073 \nL 93.410108 225.254198 \nL 88.675146 223.132289 \nL 84.179207 220.841218 \nL 79.938507 218.402489 \nL 75.969841 215.83801 \nL 72.290429 213.169849 \nL 68.917775 210.42002 \nL 65.86953 207.610249 \nL 63.589877 205.238328 \nL 61.557883 202.851462 \nL 59.783474 200.461141 \nL 58.276333 198.078383 \nL 57.045814 195.713627 \nL 56.100849 193.376696 \nL 55.449851 191.076726 \nL 55.146011 189.269039 \nL 55.039083 187.494356 \nL 55.132492 185.7563 \nL 55.429366 184.05816 \nL 55.932466 182.402875 \nL 56.64422 180.793042 \nL 57.566671 179.230898 \nL 58.701477 177.718336 \nL 60.049854 176.256886 \nL 61.612626 174.847735 \nL 63.868137 173.161099 \nL 66.458977 171.558393 \nL 69.383804 170.039744 \nL 72.640165 168.604529 \nL 76.224435 167.251423 \nL 80.951703 165.73325 \nL 86.134049 164.325892 \nL 91.758917 163.023733 \nL 98.860674 161.628767 \nL 106.517292 160.356509 \nL 115.907212 159.036692 \nL 127.223666 157.699752 \nL 140.634959 156.365536 \nL 156.260646 155.040759 \nL 177.191135 153.509254 \nL 205.206452 151.708584 \nL 238.31984 149.802894 \nL 265.981515 148.416486 \nL 286.391147 147.611938 \nL 301.439442 147.230891 \nL 314.184496 147.136478 \nL 323.644094 147.269828 \nL 332.379824 147.617516 \nL 339.38442 148.117504 \nL 344.886113 148.704077 \nL 349.904071 149.446003 \nL 354.421869 150.351153 \nL 357.794587 151.234933 \nL 360.803806 152.23973 \nL 363.444358 153.367841 \nL 365.288742 154.360139 \nL 366.893393 155.432681 \nL 368.257562 156.585457 \nL 369.381079 157.818074 \nL 370.264293 159.129749 \nL 370.908113 160.5193 \nL 371.313998 161.985141 \nL 371.483914 163.52528 \nL 371.420334 165.137315 \nL 371.126208 166.818444 \nL 370.60496 168.565458 \nL 369.860426 170.37476 \nL 368.622276 172.717872 \nL 367.051079 175.143455 \nL 365.156804 177.642042 \nL 362.950149 180.203339 \nL 360.442485 182.816304 \nL 357.052728 186.003478 \nL 353.268016 189.226641 \nL 349.110355 192.463228 \nL 344.602166 195.689782 \nL 339.766046 198.882205 \nL 334.624511 202.015946 \nL 329.199875 205.066295 \nL 323.514028 208.008594 \nL 317.5883 210.818511 \nL 311.443326 213.47229 \nL 305.098993 215.94698 \nL 298.57431 218.220705 \nL 291.887428 220.272885 \nL 286.203605 221.799989 \nL 280.428694 223.149842 \nL 274.571826 224.313221 \nL 268.641786 225.281887 \nL 262.647009 226.048643 \nL 256.595644 226.607405 \nL 250.495599 226.953191 \nL 244.354591 227.08225 \nL 238.180206 226.992024 \nL 231.979962 226.681202 \nL 225.761365 226.149719 \nL 219.53198 225.398759 \nL 213.299496 224.430761 \nL 207.071787 223.24939 \nL 200.856975 221.8595 \nL 194.663488 220.267128 \nL 188.500119 218.479437 \nL 182.376071 216.504666 \nL 175.092755 213.901105 \nL 167.897631 211.059328 \nL 160.809441 207.99894 \nL 153.84803 204.741133 \nL 147.03439 201.308494 \nL 140.390661 197.724786 \nL 133.940055 194.014696 \nL 127.706777 190.203608 \nL 120.742824 185.664171 \nL 114.149895 181.063789 \nL 107.969997 176.443652 \nL 103.033904 172.498561 \nL 98.45926 168.593614 \nL 94.272478 164.752807 \nL 90.499446 160.999081 \nL 87.165119 157.354111 \nL 84.738846 154.414359 \nL 82.64674 151.575078 \nL 80.900923 148.846303 \nL 79.512549 146.237192 \nL 78.666045 144.241625 \nL 78.05939 142.331703 \nL 77.696695 140.510804 \nL 77.581511 138.781896 \nL 77.71682 137.147533 \nL 78.104979 135.609866 \nL 78.747742 134.170626 \nL 79.646209 132.831137 \nL 80.800834 131.592319 \nL 82.211417 130.454703 \nL 83.877058 129.418427 \nL 85.796183 128.483263 \nL 87.966562 127.648619 \nL 91.028336 126.745223 \nL 94.470923 125.994889 \nL 98.285581 125.39436 \nL 102.461983 124.939724 \nL 107.934491 124.580363 \nL 113.887839 124.415842 \nL 121.40659 124.457311 \nL 129.49934 124.73455 \nL 139.387507 125.31814 \nL 149.88132 126.161344 \nL 162.305542 127.388308 \nL 176.730633 129.056464 \nL 191.636265 131.003515 \nL 208.371409 133.422929 \nL 225.228872 136.095162 \nL 240.462401 138.720371 \nL 255.43366 141.519386 \nL 268.550861 144.183312 \nL 281.216528 146.985882 \nL 292.014239 149.597563 \nL 302.311029 152.328274 \nL 310.863942 154.820356 \nL 318.953991 157.413095 \nL 325.496574 159.718921 \nL 331.659676 162.104453 \nL 337.428806 164.571736 \nL 342.791808 167.122207 \nL 347.738851 169.756539 \nL 351.538171 172.015734 \nL 355.040321 174.332335 \nL 358.243271 176.705111 \nL 361.146101 179.132243 \nL 363.748917 181.61128 \nL 366.052819 184.139126 \nL 368.059857 186.712006 \nL 369.773021 189.325456 \nL 371.196108 191.974321 \nL 372.333768 194.65273 \nL 373.19135 197.354146 \nL 373.774867 200.07135 \nL 374.090916 202.796474 \nL 374.146653 205.521026 \nL 373.949666 208.235935 \nL 373.507895 210.93159 \nL 372.829616 213.597887 \nL 371.923285 216.224302 \nL 370.797527 218.799929 \nL 369.461053 221.313564 \nL 367.922571 223.753766 \nL 366.190707 226.108935 \nL 364.273992 228.367399 \nL 362.180754 230.517483 \nL 359.919102 232.547589 \nL 357.496878 234.446288 \nL 354.921576 236.20238 \nL 352.200352 237.805042 \nL 349.339951 239.243796 \nL 346.346756 240.508699 \nL 343.226708 241.590336 \nL 339.985293 242.479958 \nL 336.627606 243.169497 \nL 333.158308 243.651655 \nL 329.581649 243.919941 \nL 325.901466 243.968744 \nL 322.121245 243.793348 \nL 318.244128 243.389985 \nL 314.272958 242.755898 \nL 310.210323 241.889287 \nL 306.058603 240.789387 \nL 301.820017 239.45644 \nL 297.496679 237.891723 \nL 292.199698 235.711415 \nL 286.787265 233.206521 \nL 281.2632 230.384913 \nL 275.631668 227.256367 \nL 269.897367 223.832515 \nL 263.084721 219.482752 \nL 256.149677 214.773398 \nL 249.104235 209.731229 \nL 240.935525 203.598855 \nL 232.6667 197.117089 \nL 223.282361 189.46988 \nL 213.860401 181.518697 \nL 203.419962 172.421838 \nL 193.100647 163.153882 \nL 182.017083 152.891626 \nL 172.313348 143.617843 \nL 163.096864 134.505199 \nL 155.330352 126.524474 \nL 148.931736 119.664044 \nL 143.082262 113.070726 \nL 138.469115 107.553761 \nL 134.374374 102.299301 \nL 131.309312 98.022273 \nL 128.680942 93.968743 \nL 126.840602 90.770198 \nL 125.331083 87.741358 \nL 124.162907 84.887694 \nL 123.345164 82.213971 \nL 122.948444 80.207299 \nL 122.784003 78.320155 \nL 122.854316 76.554002 \nL 123.161105 74.910034 \nL 123.705365 73.389164 \nL 124.487369 71.992031 \nL 125.506601 70.719027 \nL 126.76177 69.570291 \nL 128.250846 68.545716 \nL 129.971024 67.644979 \nL 131.918716 66.867531 \nL 134.089602 66.21265 \nL 137.109275 65.56499 \nL 140.458231 65.105262 \nL 144.12331 64.830941 \nL 148.08974 64.739254 \nL 153.224235 64.86603 \nL 158.738406 65.245826 \nL 164.598884 65.87284 \nL 170.770019 66.741095 \nL 178.312081 68.051007 \nL 186.163436 69.671881 \nL 194.259661 71.594836 \nL 202.535058 73.811504 \nL 210.923472 76.314164 \nL 219.359104 79.095786 \nL 226.578168 81.697247 \nL 233.744737 84.495405 \nL 240.820508 87.486918 \nL 247.76881 90.668703 \nL 254.55489 94.037821 \nL 261.14617 97.59135 \nL 266.468231 100.691339 \nL 271.617873 103.915461 \nL 276.58029 107.26173 \nL 281.342028 110.727918 \nL 285.891034 114.311547 \nL 290.216666 118.009791 \nL 294.309748 121.819443 \nL 298.162548 125.736834 \nL 301.768778 129.757807 \nL 305.123589 133.877643 \nL 308.223538 138.091028 \nL 311.06653 142.392009 \nL 313.6518 146.773953 \nL 315.979865 151.229516 \nL 318.052427 155.750631 \nL 319.872319 160.328481 \nL 321.443442 164.953498 \nL 322.770647 169.61536 \nL 323.859663 174.303003 \nL 324.717033 179.004641 \nL 325.349965 183.707786 \nL 325.766283 188.399288 \nL 325.974273 193.065384 \nL 325.982676 197.691747 \nL 325.800531 202.263542 \nL 325.343444 207.656159 \nL 324.641413 212.921178 \nL 323.710676 218.031048 \nL 322.567276 222.957939 \nL 321.22689 227.673967 \nL 319.704761 232.151481 \nL 318.015379 236.363282 \nL 316.172496 240.282981 \nL 314.528788 243.307911 \nL 312.794324 246.098324 \nL 310.9755 248.640954 \nL 309.078212 250.923367 \nL 307.107811 252.934066 \nL 305.069116 254.662582 \nL 302.966402 256.099543 \nL 301.240675 257.03366 \nL 299.478062 257.7723 \nL 297.680034 258.312409 \nL 295.847865 258.651429 \nL 293.982642 258.787386 \nL 292.08526 258.718877 \nL 290.156458 258.445078 \nL 288.196817 257.965726 \nL 286.206766 257.28116 \nL 283.6769 256.138293 \nL 281.100356 254.67925 \nL 278.477266 252.908415 \nL 275.807577 250.831506 \nL 273.091137 248.455506 \nL 269.769378 245.221153 \nL 266.379584 241.584343 \nL 262.921501 237.563627 \nL 258.800831 232.415069 \nL 254.588086 226.807596 \nL 249.663293 219.886398 \nL 243.988711 211.519322 \nL 237.531154 201.607972 \nL 229.604324 189.035427 \nL 219.513743 172.600978 \nL 207.365118 152.386895 \nL 196.186439 133.387742 \nL 187.48965 118.185589 \nL 181.159985 106.702246 \nL 175.912093 96.714408 \nL 172.130821 89.083005 \nL 168.774667 81.804822 \nL 166.224438 75.747881 \nL 164.349512 70.800428 \nL 162.780033 66.087742 \nL 161.531698 61.617483 \nL 160.746739 58.082212 \nL 160.201264 54.723093 \nL 159.901007 51.542873 \nL 159.850523 48.543834 \nL 160.053112 45.727796 \nL 160.510748 43.096193 \nL 161.060959 41.124386 \nL 161.7745 39.271651 \nL 162.650463 37.538187 \nL 163.687357 35.924087 \nL 164.8831 34.429341 \nL 166.235034 33.053816 \nL 167.739908 31.797298 \nL 169.393906 30.65947 \nL 171.66439 29.403533 \nL 174.151233 28.3316 \nL 176.843412 27.442708 \nL 179.728683 26.735795 \nL 182.79366 26.209757 \nL 186.023902 25.863472 \nL 189.404019 25.695838 \nL 193.635071 25.728993 \nL 198.02904 26.016148 \nL 202.555213 26.555725 \nL 207.181927 27.346422 \nL 211.876884 28.38711 \nL 216.607472 29.676924 \nL 221.341081 31.215235 \nL 226.045427 33.001643 \nL 230.688856 35.035925 \nL 234.489644 36.920437 \nL 238.209623 38.977025 \nL 241.832341 41.205687 \nL 245.342133 43.606392 \nL 248.724232 46.179082 \nL 251.964832 48.923556 \nL 255.051182 51.839474 \nL 257.971625 54.926314 \nL 260.715686 58.183321 \nL 263.274086 61.609422 \nL 265.638782 65.203241 \nL 267.802999 68.962984 \nL 269.761228 72.886435 \nL 271.509238 76.970896 \nL 273.044036 81.213121 \nL 274.363878 85.609275 \nL 275.468221 90.154913 \nL 276.357666 94.84493 \nL 277.033932 99.673509 \nL 277.499776 104.634107 \nL 277.758942 109.719414 \nL 277.816084 114.921332 \nL 277.676679 120.230966 \nL 277.258755 126.730968 \nL 276.57879 133.353683 \nL 275.649907 140.079041 \nL 274.486165 146.885296 \nL 273.102315 153.749053 \nL 271.229968 161.796051 \nL 269.103397 169.845087 \nL 266.747295 177.851483 \nL 264.186014 185.768368 \nL 261.443222 193.547073 \nL 258.541618 201.137568 \nL 255.50263 208.48891 \nL 252.346245 215.549838 \nL 249.090854 222.26933 \nL 245.753142 228.597251 \nL 242.838108 233.672592 \nL 239.882009 238.395074 \nL 236.892332 242.736806 \nL 233.875696 246.671654 \nL 231.34545 249.622471 \nL 228.803489 252.261279 \nL 226.252451 254.576623 \nL 223.694687 256.558383 \nL 221.645051 257.897698 \nL 219.593441 259.014125 \nL 217.540768 259.904511 \nL 215.487891 260.566357 \nL 213.435631 260.99782 \nL 211.384785 261.197712 \nL 209.336148 261.165562 \nL 207.290523 260.901526 \nL 205.248738 260.406501 \nL 203.211667 259.682014 \nL 201.180239 258.730282 \nL 199.155454 257.554169 \nL 197.138403 256.15717 \nL 194.629795 254.106651 \nL 192.137726 251.726873 \nL 189.6651 249.028554 \nL 187.215174 246.023738 \nL 184.791588 242.725632 \nL 181.92378 238.400993 \nL 179.107567 233.701223 \nL 176.351687 228.65462 \nL 173.665831 223.290867 \nL 171.060626 217.640763 \nL 168.138616 210.729252 \nL 165.361989 203.522019 \nL 162.752074 196.070366 \nL 160.33151 188.42526 \nL 158.12395 180.636826 \nL 156.153818 172.753806 \nL 154.672881 165.957283 \nL 153.400224 159.15406 \nL 152.351258 152.371073 \nL 151.541 145.633785 \nL 150.983829 138.966088 \nL 150.693259 132.390225 \nL 150.663784 126.995361 \nL 150.834614 121.689541 \nL 151.211542 116.482902 \nL 151.799526 111.384749 \nL 152.602649 106.403556 \nL 153.624021 101.547006 \nL 154.865708 96.821987 \nL 156.328655 92.234648 \nL 158.012651 87.790418 \nL 159.91627 83.494032 \nL 162.036831 79.349603 \nL 164.370367 75.360622 \nL 166.911606 71.530087 \nL 169.653975 67.860428 \nL 172.589584 64.35368 \nL 175.709264 61.011471 \nL 179.002566 57.835094 \nL 182.457826 54.825538 \nL 186.062195 51.983558 \nL 189.801712 49.309744 \nL 193.66137 46.804527 \nL 197.625193 44.468231 \nL 201.676332 42.301138 \nL 206.628099 39.924348 \nL 211.648492 37.792112 \nL 216.704711 35.905002 \nL 221.763164 34.26379 \nL 226.789779 32.86943 \nL 231.750336 31.723118 \nL 236.610796 30.826282 \nL 241.337637 30.180591 \nL 245.898189 29.787928 \nL 250.260946 29.65036 \nL 254.395886 29.77008 \nL 257.64721 30.068027 \nL 260.705419 30.547562 \nL 263.556347 31.209997 \nL 266.187011 32.056569 \nL 268.585701 33.088449 \nL 270.330608 34.048075 \nL 271.915725 35.127429 \nL 273.336984 36.326885 \nL 274.590905 37.646734 \nL 275.674641 39.08719 \nL 276.585951 40.64832 \nL 277.323227 42.330101 \nL 277.885467 44.132356 \nL 278.272304 46.05478 \nL 278.483973 48.096906 \nL 278.521312 50.258114 \nL 278.325044 53.12586 \nL 277.862656 56.176482 \nL 277.139475 59.407572 \nL 276.162086 62.816258 \nL 274.664638 67.136323 \nL 272.827748 71.700452 \nL 270.668801 76.500766 \nL 267.768545 82.387524 \nL 263.991237 89.472754 \nL 259.770398 96.912587 \nL 254.559573 105.666834 \nL 247.637243 116.84725 \nL 238.159191 131.683748 \nL 225.292042 151.381931 \nL 209.222559 175.58445 \nL 196.983702 193.654097 \nL 187.895805 206.685218 \nL 181.114058 216.054488 \nL 175.184007 223.889374 \nL 170.058037 230.307604 \nL 165.687477 235.456153 \nL 161.424701 240.132248 \nL 157.856577 243.740378 \nL 154.36709 246.960544 \nL 150.955685 249.777114 \nL 148.172087 251.806216 \nL 145.442085 253.539281 \nL 142.765579 254.971079 \nL 140.142658 256.097659 \nL 137.573677 256.916397 \nL 135.557739 257.348815 \nL 133.577201 257.583307 \nL 131.632702 257.62038 \nL 129.725035 257.461096 \nL 127.855193 257.107084 \nL 126.02435 256.560459 \nL 124.233875 255.82391 \nL 122.485353 254.900627 \nL 120.78057 253.794293 \nL 118.714191 252.160378 \nL 116.723738 250.256159 \nL 114.814179 248.091864 \nL 112.990999 245.67864 \nL 111.260288 243.028534 \nL 109.628577 240.154387 \nL 108.102949 237.06973 \nL 106.69095 233.788659 \nL 105.157753 229.612702 \nL 103.814165 225.200876 \nL 102.675353 220.579593 \nL 101.757024 215.775552 \nL 101.075236 210.815439 \nL 100.699508 206.581893 \nL 100.508737 202.27342 \nL 100.512235 197.904785 \nL 100.719136 193.490368 \nL 101.138277 189.044083 \nL 101.778154 184.57933 \nL 102.64675 180.108928 \nL 103.751536 175.645069 \nL 105.099279 171.199278 \nL 106.696045 166.78239 \nL 108.547003 162.40452 \nL 110.656402 158.075055 \nL 113.027488 153.802649 \nL 115.662395 149.595227 \nL 118.562086 145.459997 \nL 121.726296 141.403473 \nL 125.15344 137.431496 \nL 128.840647 133.549277 \nL 132.783585 129.761428 \nL 136.97655 126.072009 \nL 141.412413 122.484582 \nL 146.08257 119.002265 \nL 150.976984 115.627784 \nL 156.084187 112.363527 \nL 161.391283 109.211613 \nL 166.884034 106.173954 \nL 173.698324 102.68204 \nL 180.728058 99.360027 \nL 187.941391 96.210716 \nL 195.30421 93.236959 \nL 202.780343 90.44179 \nL 210.331827 87.828504 \nL 219.184385 85.014428 \nL 228.02099 82.459371 \nL 236.775387 80.170616 \nL 245.380547 78.156298 \nL 253.769438 76.425309 \nL 261.875844 74.987276 \nL 269.635184 73.852337 \nL 275.962632 73.128722 \nL 281.952108 72.642164 \nL 287.568472 72.399288 \nL 292.778998 72.406477 \nL 296.789384 72.60788 \nL 300.481327 72.990408 \nL 303.840674 73.556989 \nL 306.854919 74.310239 \nL 309.010531 75.048688 \nL 310.933652 75.908883 \nL 312.620371 76.891495 \nL 314.067505 77.996998 \nL 315.272645 79.225591 \nL 316.234173 80.57725 \nL 316.951256 82.05165 \nL 317.423818 83.648201 \nL 317.652536 85.366034 \nL 317.638837 87.203955 \nL 317.384877 89.160492 \nL 316.893521 91.233852 \nL 316.1683 93.421935 \nL 314.939366 96.31466 \nL 313.36113 99.377439 \nL 311.44451 102.604109 \nL 309.201725 105.987762 \nL 306.098685 110.244556 \nL 302.570125 114.701819 \nL 297.951377 120.133974 \nL 292.834576 125.789635 \nL 286.436699 132.488557 \nL 279.520148 139.392596 \nL 271.207945 147.341541 \nL 262.429813 155.409891 \nL 253.282373 163.518822 \nL 243.856943 171.587665 \nL 234.238184 179.535021 \nL 224.503124 187.279926 \nL 215.807905 193.930132 \nL 207.118 200.303767 \nL 198.470942 206.349393 \nL 190.965623 211.332164 \nL 183.537006 215.996704 \nL 176.201518 220.315507 \nL 169.998939 223.723363 \nL 163.883144 226.845276 \nL 157.861154 229.669308 \nL 151.939285 232.1854 \nL 146.123355 234.385498 \nL 141.361597 235.973126 \nL 136.680236 237.334721 \nL 132.082274 238.468971 \nL 127.57077 239.375569 \nL 123.148855 240.055255 \nL 118.819819 240.509795 \nL 114.587142 240.741962 \nL 110.454554 240.755518 \nL 106.426071 240.555194 \nL 102.506029 240.146634 \nL 98.699098 239.536364 \nL 95.010331 238.731721 \nL 91.445193 237.74084 \nL 88.00953 236.57253 \nL 84.709567 235.236263 \nL 81.551963 233.742048 \nL 78.543748 232.100429 \nL 75.69231 230.322322 \nL 73.005387 228.418991 \nL 70.491032 226.401942 \nL 68.157534 224.282838 \nL 66.013465 222.073443 \nL 64.067523 219.785493 \nL 62.328535 217.430652 \nL 60.805391 215.020409 \nL 59.506968 212.566024 \nL 58.442063 210.078422 \nL 57.619353 207.568166 \nL 57.047241 205.045355 \nL 56.733887 202.519596 \nL 56.687051 199.999923 \nL 56.914067 197.494764 \nL 57.297448 195.506342 \nL 57.863673 193.535879 \nL 58.6157 191.586759 \nL 59.556183 189.662084 \nL 60.687501 187.764643 \nL 62.011704 185.896928 \nL 63.940702 183.607403 \nL 66.176172 181.371353 \nL 68.7197 179.191675 \nL 71.571878 177.070563 \nL 74.732314 175.009534 \nL 78.199561 173.009454 \nL 81.971145 171.07058 \nL 86.893655 168.824257 \nL 92.240949 166.664114 \nL 98.002564 164.587736 \nL 104.165751 162.591933 \nL 111.843562 160.360244 \nL 120.019938 158.226283 \nL 129.934309 155.8979 \nL 140.405576 153.676981 \nL 152.777575 151.294326 \nL 167.149737 148.77654 \nL 183.558009 146.150956 \nL 201.94374 143.45171 \nL 222.118481 140.731089 \nL 242.197234 138.255662 \nL 260.315107 136.239277 \nL 276.306343 134.673481 \nL 290.133362 133.536166 \nL 301.85771 132.788112 \nL 311.610927 132.374295 \nL 320.657315 132.22488 \nL 327.939188 132.331608 \nL 333.676935 132.612674 \nL 338.92488 133.078855 \nL 343.662475 133.738708 \nL 347.207762 134.441896 \nL 350.37768 135.28828 \nL 353.165094 136.280675 \nL 355.115856 137.181118 \nL 356.816083 138.176979 \nL 358.264316 139.268542 \nL 359.4597 140.455718 \nL 360.402023 141.738028 \nL 361.091749 143.114588 \nL 361.529926 144.584114 \nL 361.718224 146.144905 \nL 361.658914 147.794842 \nL 361.354841 149.531396 \nL 360.809377 151.351622 \nL 360.026453 153.252163 \nL 358.720642 155.735023 \nL 357.060371 158.329277 \nL 355.056293 161.025801 \nL 352.719993 163.814588 \nL 349.495449 167.267613 \nL 345.83315 170.817686 \nL 341.757028 174.443208 \nL 337.291827 178.121334 \nL 332.462885 181.828186 \nL 327.295876 185.539058 \nL 321.816464 189.228645 \nL 316.050157 192.871294 \nL 310.022047 196.44123 \nL 303.756646 199.912827 \nL 297.277701 203.260827 \nL 290.608107 206.460617 \nL 283.769775 209.488481 \nL 276.783603 212.321803 \nL 269.669447 214.939339 \nL 262.446091 217.321404 \nL 256.356065 219.113594 \nL 250.212352 220.720452 \nL 244.024293 222.133647 \nL 237.800839 223.345937 \nL 231.550605 224.351178 \nL 225.281916 225.144427 \nL 219.00286 225.721933 \nL 212.721355 226.081176 \nL 206.445204 226.220885 \nL 200.18217 226.141052 \nL 193.940029 225.842931 \nL 187.726644 225.329029 \nL 181.55002 224.603061 \nL 175.418367 223.669961 \nL 169.340146 222.535827 \nL 163.324139 221.207861 \nL 157.379465 219.694317 \nL 151.515642 218.004472 \nL 144.599783 215.758339 \nL 137.832678 213.292262 \nL 131.233254 210.627027 \nL 124.821388 207.784748 \nL 118.617854 204.788653 \nL 112.644286 201.662834 \nL 106.92305 198.432014 \nL 101.477168 195.121278 \nL 96.330126 191.755817 \nL 91.505708 188.360683 \nL 87.027812 184.960556 \nL 82.920201 181.579476 \nL 79.206299 178.240647 \nL 75.908851 174.966193 \nL 73.049771 171.776975 \nL 71.017048 169.198453 \nL 69.314411 166.703011 \nL 67.952325 164.300191 \nL 66.940344 161.998651 \nL 66.388633 160.235565 \nL 66.070385 158.545777 \nL 65.989037 156.932397 \nL 66.147495 155.398128 \nL 66.54819 153.945261 \nL 67.192961 152.575673 \nL 68.083131 151.290826 \nL 69.219448 150.091778 \nL 70.602062 148.979181 \nL 72.230538 147.953294 \nL 74.103863 147.013991 \nL 76.787277 145.960832 \nL 79.846176 145.040414 \nL 83.274652 144.250173 \nL 87.065347 143.586786 \nL 92.079965 142.952478 \nL 97.586003 142.486931 \nL 104.603684 142.144776 \nL 112.22632 142.003671 \nL 121.626545 142.066355 \nL 133.000063 142.390122 \nL 146.50764 143.018816 \nL 162.249039 143.977798 \nL 181.762463 145.389182 \nL 206.619644 147.419945 \nL 233.326095 149.818906 \nL 258.030282 152.254945 \nL 277.340848 154.372418 \nL 292.889901 156.289305 \nL 306.236954 158.160806 \nL 317.503327 159.975346 \nL 326.857751 161.71123 \nL 334.492447 163.338453 \nL 341.58281 165.077735 \nL 347.207751 166.665009 \nL 352.400583 168.34693 \nL 357.149932 170.127916 \nL 360.762318 171.690225 \nL 364.056288 173.325048 \nL 367.028871 175.033107 \nL 369.678143 176.814454 \nL 372.003281 178.668428 \nL 374.004494 180.593624 \nL 375.373028 182.183624 \nL 376.53612 183.816346 \nL 377.49526 185.489975 \nL 378.252287 187.20237 \nL 378.809421 188.951054 \nL 379.16922 190.733218 \nL 379.334569 192.54573 \nL 379.30862 194.385141 \nL 379.094858 196.24768 \nL 378.569224 198.602151 \nL 377.763679 200.977803 \nL 376.686492 203.365393 \nL 375.346296 205.755053 \nL 373.752099 208.136379 \nL 371.913148 210.498454 \nL 369.838874 212.829935 \nL 367.53882 215.119151 \nL 365.022563 217.354123 \nL 361.731098 219.947362 \nL 358.15835 222.42377 \nL 354.3203 224.762137 \nL 350.232424 226.941445 \nL 346.645818 228.621183 \nL 342.904412 230.164591 \nL 339.016154 231.560469 \nL 334.988644 232.798144 \nL 330.829091 233.867462 \nL 326.544334 234.758961 \nL 322.140843 235.463848 \nL 317.624736 235.974139 \nL 313.001754 236.282694 \nL 308.277351 236.383255 \nL 303.45668 236.270558 \nL 298.544661 235.940295 \nL 293.546009 235.389204 \nL 288.465279 234.615076 \nL 283.306938 233.616799 \nL 278.075408 232.394341 \nL 272.775135 230.948738 \nL 267.410654 229.282182 \nL 261.986631 227.397886 \nL 255.406138 224.855438 \nL 248.756 222.015089 \nL 242.045991 218.888296 \nL 235.286781 215.488496 \nL 228.490105 211.83097 \nL 221.668888 207.932738 \nL 213.698848 203.105441 \nL 205.739873 198.007807 \nL 197.819772 192.674066 \nL 189.969223 187.140348 \nL 181.125532 180.61958 \nL 172.471266 173.944786 \nL 164.065601 167.175055 \nL 155.971778 160.369834 \nL 148.256427 153.588168 \nL 140.988686 146.887938 \nL 135.052066 141.136127 \nL 129.55969 135.525519 \nL 124.558538 130.090214 \nL 120.697499 125.595201 \nL 117.258601 121.271234 \nL 114.268059 117.135617 \nL 112.136092 113.844588 \nL 110.345437 110.703645 \nL 108.907964 107.720275 \nL 107.834191 104.901148 \nL 107.243211 102.768041 \nL 106.894859 100.746389 \nL 106.792466 98.838451 \nL 106.938652 97.04612 \nL 107.335362 95.37096 \nL 107.983812 93.814199 \nL 108.884456 92.376727 \nL 110.036999 91.059112 \nL 111.440373 89.861615 \nL 113.092748 88.784195 \nL 114.991505 87.826532 \nL 117.133259 86.988025 \nL 119.51388 86.26783 \nL 122.818071 85.532273 \nL 126.47666 84.977289 \nL 130.476798 84.599809 \nL 134.803994 84.396371 \nL 140.405634 84.376656 \nL 146.42459 84.595044 \nL 152.827705 85.044113 \nL 160.735968 85.849346 \nL 169.058609 86.945888 \nL 177.732567 88.321628 \nL 186.692464 89.96494 \nL 195.871409 91.864863 \nL 205.201789 94.011311 \nL 214.616041 96.395186 \nL 224.047397 99.008443 \nL 233.430604 101.844089 \nL 242.702598 104.896126 \nL 250.51574 107.680504 \nL 258.166857 110.617325 \nL 265.622007 113.704111 \nL 272.849518 116.938546 \nL 279.820178 120.31839 \nL 286.507372 123.8413 \nL 291.846173 126.884505 \nL 296.959152 130.023605 \nL 301.835364 133.256669 \nL 306.465291 136.581464 \nL 310.840814 139.995387 \nL 314.955211 143.495416 \nL 318.803186 147.078051 \nL 322.380786 150.739267 \nL 325.685442 154.474466 \nL 328.715865 158.278441 \nL 331.472013 162.145341 \nL 333.955048 166.068646 \nL 336.167295 170.04115 \nL 338.112095 174.05494 \nL 339.793793 178.101407 \nL 341.217662 182.171235 \nL 342.389749 186.254426 \nL 343.316882 190.340314 \nL 344.006482 194.417603 \nL 344.46656 198.4744 \nL 344.705542 202.498262 \nL 344.732221 206.476248 \nL 344.555667 210.394984 \nL 344.185129 214.24074 \nL 343.629929 217.999483 \nL 342.899412 221.656976 \nL 341.804424 225.892116 \nL 340.486046 229.935951 \nL 339.227769 233.141847 \nL 337.833465 236.183669 \nL 336.311261 239.047664 \nL 334.668938 241.720424 \nL 332.913746 244.189083 \nL 331.052514 246.441354 \nL 329.091551 248.465617 \nL 327.036652 250.251045 \nL 324.893058 251.787654 \nL 322.665463 253.066412 \nL 320.358041 254.079265 \nL 318.457086 254.693371 \nL 316.508967 255.129764 \nL 314.5151 255.385873 \nL 312.47669 255.459571 \nL 310.394752 255.349298 \nL 308.27011 255.05395 \nL 305.55526 254.423673 \nL 302.775684 253.503337 \nL 299.931989 252.294193 \nL 297.024508 250.798717 \nL 294.053336 249.020593 \nL 291.018389 246.964661 \nL 287.291961 244.139367 \nL 283.472911 240.935189 \nL 279.56078 237.366639 \nL 274.878647 232.764906 \nL 270.069656 227.718968 \nL 264.41988 221.449566 \nL 257.872693 213.817856 \nL 250.372717 204.712265 \nL 241.09086 193.071017 \nL 229.143593 177.715696 \nL 211.278005 154.356528 \nL 193.717513 131.063634 \nL 182.444056 115.776002 \nL 174.129152 104.129644 \nL 167.838729 94.926447 \nL 163.309885 87.941836 \nL 159.292433 81.32659 \nL 156.240563 75.862587 \nL 153.996594 71.432813 \nL 152.117054 67.246464 \nL 150.619807 63.311183 \nL 149.675434 60.228295 \nL 149.015045 57.327501 \nL 148.64495 54.611483 \nL 148.561239 52.573217 \nL 148.668326 50.655541 \nL 148.967421 48.859163 \nL 149.459083 47.18463 \nL 150.143218 45.632315 \nL 151.019075 44.202418 \nL 152.085222 42.894997 \nL 153.339566 41.70996 \nL 154.779333 40.647084 \nL 156.401098 39.706035 \nL 158.200774 38.886359 \nL 160.693301 38.03161 \nL 163.445781 37.364393 \nL 166.446174 36.883289 \nL 169.68103 36.586754 \nL 173.135616 36.473127 \nL 177.548643 36.57583 \nL 182.225485 36.936508 \nL 187.134589 37.5522 \nL 192.242735 38.420064 \nL 197.515387 39.53738 \nL 202.917017 40.901648 \nL 208.411466 42.510577 \nL 213.962297 44.362141 \nL 219.533139 46.454548 \nL 225.088043 48.786179 \nL 230.591811 51.355639 \nL 236.010318 54.161658 \nL 240.436934 56.679825 \nL 244.763494 59.360687 \nL 248.972811 62.20348 \nL 253.048706 65.207334 \nL 256.976087 68.371234 \nL 260.741012 71.693985 \nL 264.330768 75.174128 \nL 267.733906 78.809926 \nL 270.940307 82.599279 \nL 273.941187 86.539673 \nL 276.729114 90.628139 \nL 279.298037 94.861187 \nL 281.643252 99.234766 \nL 283.761387 103.744199 \nL 285.650403 108.384159 \nL 287.309512 113.148604 \nL 288.739163 118.030747 \nL 289.940953 123.023045 \nL 290.917591 128.117143 \nL 291.672811 133.303865 \nL 292.211294 138.573213 \nL 292.538568 143.914344 \nL 292.660955 149.315582 \nL 292.585431 154.764427 \nL 292.319586 160.24757 \nL 291.760734 166.852729 \nL 290.954148 173.461206 \nL 289.915109 180.045828 \nL 288.659263 186.578137 \nL 287.202442 193.028552 \nL 285.560398 199.366571 \nL 283.748677 205.560967 \nL 281.782445 211.580058 \nL 279.676307 217.391939 \nL 277.444209 222.964767 \nL 275.099353 228.267054 \nL 272.654048 233.267958 \nL 270.119706 237.937612 \nL 267.506795 242.247425 \nL 265.276219 245.544493 \nL 263.002649 248.558191 \nL 260.690608 251.27489 \nL 258.344161 253.682061 \nL 255.966934 255.768425 \nL 254.045174 257.1998 \nL 252.107274 258.414995 \nL 250.154564 259.410134 \nL 248.188251 260.181995 \nL 246.209415 260.727965 \nL 244.219041 261.046099 \nL 242.218013 261.135097 \nL 240.207141 260.994358 \nL 238.187177 260.623917 \nL 236.158825 260.024505 \nL 234.122758 259.197507 \nL 232.079637 258.144957 \nL 230.030125 256.86957 \nL 227.460291 254.967086 \nL 224.882955 252.729475 \nL 222.299665 250.165991 \nL 219.71215 247.287262 \nL 217.122364 244.105149 \nL 214.014778 239.904596 \nL 210.911578 235.310533 \nL 207.817931 230.3494 \nL 204.22877 224.135031 \nL 200.671768 217.506188 \nL 197.159643 210.511566 \nL 193.219401 202.133877 \nL 189.381243 193.419023 \nL 185.672641 184.442285 \nL 182.123842 175.277762 \nL 178.767574 165.997479 \nL 175.638605 156.670543 \nL 172.773199 147.362474 \nL 170.51133 139.281739 \nL 168.50462 131.300737 \nL 166.777655 123.454858 \nL 165.538125 116.862022 \nL 164.535885 110.410982 \nL 163.784297 104.118748 \nL 163.295589 98.000703 \nL 163.097043 93.04538 \nL 163.094147 88.227754 \nL 163.291567 83.554224 \nL 163.693071 79.030489 \nL 164.301465 74.661579 \nL 165.118515 70.451853 \nL 166.144913 66.405071 \nL 167.380209 62.524421 \nL 168.822798 58.812551 \nL 170.469847 55.271627 \nL 172.317338 51.903344 \nL 174.360031 48.70902 \nL 176.591448 45.689577 \nL 179.003908 42.845679 \nL 181.588557 40.177676 \nL 184.335389 37.685724 \nL 187.233304 35.369774 \nL 190.270151 33.229677 \nL 193.432802 31.26515 \nL 196.707229 29.475861 \nL 200.078581 27.86147 \nL 203.531279 26.42162 \nL 207.759039 24.923786 \nL 212.051585 23.676448 \nL 216.37912 22.679367 \nL 220.711317 21.932509 \nL 225.017621 21.436106 \nL 229.267539 21.190614 \nL 233.430951 21.196757 \nL 237.478402 21.455481 \nL 240.742099 21.864846 \nL 243.8896 22.451159 \nL 246.90575 23.215242 \nL 249.776212 24.157967 \nL 252.487529 25.280197 \nL 255.027236 26.582796 \nL 257.383922 28.066567 \nL 259.547306 29.732243 \nL 261.508287 31.580454 \nL 262.926015 33.190769 \nL 264.205712 34.918372 \nL 265.34445 36.763337 \nL 266.339856 38.725648 \nL 267.190086 40.805155 \nL 268.046774 43.568962 \nL 268.673243 46.514707 \nL 269.069388 49.641235 \nL 269.236354 52.947003 \nL 269.176506 56.430051 \nL 268.893351 60.087955 \nL 268.3915 63.917818 \nL 267.508618 68.735797 \nL 266.330538 73.789555 \nL 264.870566 79.070998 \nL 262.830909 85.507976 \nL 260.453695 92.225202 \nL 257.359204 100.220222 \nL 253.90369 108.522951 \nL 249.64067 118.184746 \nL 244.513173 129.248552 \nL 238.497823 141.711376 \nL 231.027074 156.652802 \nL 223.319353 171.586514 \nL 215.51531 186.239857 \nL 208.325336 199.267147 \nL 202.396147 209.583463 \nL 197.135548 218.328534 \nL 192.533411 225.591247 \nL 188.0094 232.304937 \nL 184.119398 237.680225 \nL 180.837972 241.885859 \nL 177.606366 245.696878 \nL 174.425154 249.092871 \nL 171.81288 251.592659 \nL 169.235977 253.782373 \nL 166.694574 255.65406 \nL 164.188876 257.201111 \nL 161.719197 258.41829 \nL 159.769704 259.151942 \nL 157.843903 259.670758 \nL 155.942245 259.974092 \nL 154.065295 260.06191 \nL 152.213735 259.934794 \nL 150.38842 259.59393 \nL 148.59035 259.041129 \nL 146.820687 258.278789 \nL 145.080785 257.30989 \nL 143.372186 256.137994 \nL 141.283108 254.393988 \nL 139.249502 252.348458 \nL 137.275713 250.011813 \nL 135.366603 247.395626 \nL 133.527547 244.512489 \nL 131.764449 241.375925 \nL 129.75804 237.297864 \nL 127.882232 232.901834 \nL 126.149977 228.215304 \nL 124.575039 223.266648 \nL 123.171972 218.084881 \nL 121.955944 212.699416 \nL 120.94259 207.139729 \nL 120.147869 201.43512 \nL 119.587882 195.614469 \nL 119.278608 189.706006 \nL 119.223738 184.734965 \nL 119.362726 179.737229 \nL 119.704048 174.727505 \nL 120.255749 169.719865 \nL 121.025302 164.727701 \nL 122.019598 159.763685 \nL 123.244758 154.839741 \nL 124.706098 149.967024 \nL 126.407985 145.155905 \nL 128.353832 140.41597 \nL 130.545916 135.756027 \nL 132.985381 131.184112 \nL 135.672156 126.707513 \nL 138.604858 122.332801 \nL 141.780769 118.065861 \nL 145.19581 113.911923 \nL 148.844473 109.875626 \nL 152.719841 105.961045 \nL 156.813531 102.171766 \nL 161.11575 98.510911 \nL 165.615266 94.981218 \nL 170.299466 91.585109 \nL 175.154363 88.324712 \nL 180.164674 85.201936 \nL 185.313875 82.218545 \nL 191.651253 78.824752 \nL 198.130452 75.63677 \nL 204.716825 72.657289 \nL 211.373971 69.889123 \nL 218.064039 67.335228 \nL 224.748032 64.998791 \nL 231.386156 62.883273 \nL 239.018961 60.699429 \nL 246.470552 58.827875 \nL 253.677601 57.275602 \nL 259.613489 56.204823 \nL 265.286578 55.378937 \nL 270.660837 54.802851 \nL 275.702177 54.481495 \nL 280.378818 54.419709 \nL 283.976306 54.569811 \nL 287.284863 54.905852 \nL 290.290636 55.430114 \nL 292.981359 56.144606 \nL 294.89993 56.854341 \nL 296.605415 57.68764 \nL 298.093916 58.645074 \nL 299.362266 59.727035 \nL 300.408034 60.933722 \nL 301.229549 62.265142 \nL 301.825894 63.721096 \nL 302.196886 65.301154 \nL 302.343083 67.004683 \nL 302.265762 68.830796 \nL 301.966921 70.77838 \nL 301.44923 72.846042 \nL 300.499513 75.596999 \nL 299.221006 78.529312 \nL 297.623061 81.638649 \nL 295.299044 85.596433 \nL 292.551332 89.792101 \nL 289.402956 94.214574 \nL 285.256864 99.644273 \nL 279.946719 106.179163 \nL 274.090517 113.031162 \nL 266.935175 121.069749 \nL 258.396529 130.339992 \nL 247.515077 141.811467 \nL 235.186456 154.482969 \nL 221.566713 168.161749 \nL 208.838479 180.645177 \nL 197.184122 191.77161 \nL 187.628524 200.615614 \nL 179.19711 208.150877 \nL 170.95661 215.209344 \nL 163.810616 221.028505 \nL 157.706068 225.732858 \nL 151.74632 230.047519 \nL 146.75679 233.417372 \nL 141.879384 236.469911 \nL 137.115966 239.193566 \nL 132.468144 241.578673 \nL 127.937461 243.617521 \nL 124.252489 245.047932 \nL 120.650979 246.231807 \nL 117.134137 247.168049 \nL 113.703378 247.856624 \nL 110.360362 248.298522 \nL 107.107109 248.4958 \nL 103.945954 248.451546 \nL 100.879624 248.169828 \nL 97.911301 247.655702 \nL 95.044589 246.91517 \nL 92.283547 245.955128 \nL 89.632732 244.783299 \nL 87.097153 243.408189 \nL 84.682296 241.839023 \nL 82.394144 240.085662 \nL 80.239113 238.158548 \nL 78.224073 236.068598 \nL 76.356288 233.827177 \nL 74.643387 231.445929 \nL 73.093352 228.936786 \nL 71.714448 226.311808 \nL 70.515122 223.583131 \nL 69.504051 220.762896 \nL 68.689987 217.863152 \nL 68.081757 214.89577 \nL 67.688101 211.872397 \nL 67.517699 208.804355 \nL 67.579027 205.702585 \nL 67.88032 202.577601 \nL 68.429442 199.439414 \nL 69.233855 196.297508 \nL 70.300505 193.160777 \nL 71.635743 190.037518 \nL 73.245299 186.935379 \nL 75.134108 183.861349 \nL 77.306337 180.821762 \nL 79.765272 177.822267 \nL 82.513249 174.867858 \nL 85.55161 171.962874 \nL 88.880652 169.111019 \nL 92.499539 166.315392 \nL 96.406358 163.578514 \nL 100.598002 160.902376 \nL 105.070158 158.288477 \nL 109.817319 155.737875 \nL 115.867288 152.76163 \nL 122.289434 149.878035 \nL 129.067188 147.087118 \nL 136.181434 144.388531 \nL 144.877768 141.356133 \nL 153.964233 138.447712 \nL 163.398136 135.662578 \nL 173.132749 133.00061 \nL 184.561314 130.110182 \nL 196.23581 127.384566 \nL 209.556497 124.521886 \nL 222.95106 121.885987 \nL 236.28583 119.492836 \nL 249.423923 117.362912 \nL 262.227282 115.520939 \nL 273.216203 114.148295 \nL 283.73817 113.047528 \nL 293.702416 112.241814 \nL 301.895789 111.797506 \nL 309.542138 111.613086 \nL 315.622825 111.673477 \nL 321.236213 111.945155 \nL 326.356449 112.436506 \nL 330.230015 113.019209 \nL 333.733676 113.763436 \nL 336.857529 114.672354 \nL 339.077577 115.519761 \nL 341.045854 116.47512 \nL 342.759643 117.539059 \nL 344.216966 118.71186 \nL 345.416589 119.993456 \nL 346.35796 121.383424 \nL 347.041228 122.880962 \nL 347.467271 124.484877 \nL 347.637652 126.193594 \nL 347.554602 128.005135 \nL 347.220996 129.917119 \nL 346.640332 131.926774 \nL 345.816703 134.030927 \nL 344.754757 136.226007 \nL 343.10014 139.091673 \nL 341.09249 142.084665 \nL 338.744077 145.195545 \nL 336.068147 148.41403 \nL 332.444556 152.40259 \nL 328.39525 156.50955 \nL 323.946962 160.712968 \nL 319.127216 164.989693 \nL 313.072088 170.039552 \nL 306.594237 175.116455 \nL 299.738142 180.179542 \nL 292.547437 185.187353 \nL 285.064481 190.098324 \nL 277.329955 194.871301 \nL 270.529518 198.822033 \nL 263.595795 202.617218 \nL 256.550618 206.233285 \nL 249.414537 209.647868 \nL 242.206806 212.839997 \nL 234.945437 215.790336 \nL 227.647256 218.481321 \nL 221.548685 220.514375 \nL 215.444043 222.348544 \nL 209.341461 223.976989 \nL 203.248694 225.39399 \nL 197.173177 226.594986 \nL 191.122099 227.576594 \nL 185.102453 228.336643 \nL 179.12111 228.87417 \nL 173.184884 229.189458 \nL 167.300595 229.283975 \nL 161.475136 229.16042 \nL 155.715509 228.822645 \nL 150.028927 228.275662 \nL 144.422806 227.5256 \nL 138.904872 226.579621 \nL 133.483147 225.445914 \nL 128.165999 224.13357 \nL 122.962185 222.652567 \nL 116.880103 220.667943 \nL 110.990917 218.475905 \nL 105.311993 216.097609 \nL 99.861439 213.555236 \nL 94.6581 210.871734 \nL 89.721416 208.070596 \nL 85.071353 205.175588 \nL 80.728249 202.210518 \nL 76.71262 199.198991 \nL 73.045036 196.164182 \nL 69.745865 193.128585 \nL 66.835076 190.113816 \nL 64.720106 187.63226 \nL 62.899072 185.190655 \nL 61.382249 182.799525 \nL 60.179297 180.468658 \nL 59.299222 178.207029 \nL 58.833161 176.453074 \nL 58.582795 174.752415 \nL 58.551581 173.108441 \nL 58.742553 171.524157 \nL 59.158321 170.002181 \nL 59.801042 168.544742 \nL 60.672439 167.153682 \nL 61.773726 165.830447 \nL 63.105656 164.576102 \nL 64.66846 163.391329 \nL 66.461863 162.276438 \nL 69.026669 160.980986 \nL 71.94786 159.793758 \nL 75.221492 158.713082 \nL 78.842367 157.736531 \nL 83.636596 156.697671 \nL 88.908071 155.797627 \nL 94.640913 155.028675 \nL 101.887926 154.285635 \nL 110.866601 153.621108 \nL 120.535341 153.130614 \nL 132.161799 152.756182 \nL 147.31569 152.504831 \nL 166.322355 152.424358 \nL 194.014829 152.556283 \nL 233.538437 152.980598 \nL 266.03277 153.521488 \nL 286.565936 154.058655 \nL 303.083726 154.711436 \nL 315.904965 155.445602 \nL 326.600367 156.293794 \nL 335.367628 157.224533 \nL 342.425825 158.19374 \nL 348.8802 159.321952 \nL 353.912227 160.424943 \nL 358.467814 161.660527 \nL 361.891924 162.795457 \nL 364.972006 164.02875 \nL 367.704011 165.36214 \nL 370.085096 166.796597 \nL 371.736203 168.01706 \nL 373.161415 169.302002 \nL 374.360963 170.650748 \nL 375.335536 172.062255 \nL 376.086305 173.535099 \nL 376.614921 175.067485 \nL 376.923423 176.65723 \nL 377.014316 178.301777 \nL 376.890486 179.998192 \nL 376.555231 181.743165 \nL 376.012187 183.533025 \nL 375.047265 185.827306 \nL 373.77233 188.176797 \nL 372.196483 190.572092 \nL 370.329416 193.003051 \nL 368.181319 195.458842 \nL 365.762783 197.928024 \nL 362.518948 200.891803 \nL 358.920704 203.835979 \nL 354.987576 206.738196 \nL 350.73917 209.575536 \nL 346.19502 212.324779 \nL 341.374344 214.962612 \nL 336.295903 217.465878 \nL 330.97793 219.811816 \nL 325.438047 221.978319 \nL 319.693081 223.944141 \nL 314.760571 225.414474 \nL 309.705702 226.720484 \nL 304.536991 227.851936 \nL 299.262557 228.799426 \nL 293.890159 229.554378 \nL 288.427263 230.109205 \nL 282.880996 230.457291 \nL 277.258263 230.59309 \nL 271.565735 230.512178 \nL 265.809935 230.211235 \nL 259.99729 229.688127 \nL 254.134175 228.941916 \nL 248.226986 227.972851 \nL 242.282206 226.782394 \nL 236.306472 225.373171 \nL 230.306636 223.749022 \nL 224.289829 221.914915 \nL 218.263531 219.876968 \nL 211.030573 217.172539 \nL 203.809826 214.199346 \nL 196.61687 210.973793 \nL 189.468463 207.514134 \nL 182.382635 203.840316 \nL 175.378729 199.973795 \nL 168.477444 195.937327 \nL 160.58512 191.045227 \nL 152.899777 185.993739 \nL 145.460947 180.823432 \nL 138.310187 175.575563 \nL 131.490776 170.29159 \nL 125.047262 165.012694 \nL 119.024987 159.779298 \nL 113.469512 154.630628 \nL 109.113491 150.313459 \nL 105.161463 146.108676 \nL 101.640361 142.037494 \nL 98.575881 138.119694 \nL 96.388378 134.985216 \nL 94.547684 131.979567 \nL 93.065679 129.11153 \nL 92.145574 126.921509 \nL 91.466809 124.828237 \nL 91.033716 122.834942 \nL 90.850028 120.94447 \nL 90.91884 119.159265 \nL 91.242605 117.481395 \nL 91.823078 115.912527 \nL 92.661347 114.453945 \nL 93.757762 113.10657 \nL 95.111942 111.870938 \nL 96.722809 110.747239 \nL 98.588523 109.735311 \nL 100.706495 108.834664 \nL 103.073426 108.044503 \nL 106.375968 107.21047 \nL 110.051723 106.544598 \nL 114.089571 106.043542 \nL 118.476774 105.703417 \nL 124.182366 105.501557 \nL 130.342937 105.516947 \nL 136.928297 105.740743 \nL 145.104314 106.252881 \nL 153.758157 107.021007 \nL 164.157335 108.192974 \nL 175.010593 109.657616 \nL 186.221985 111.394171 \nL 197.69359 113.383602 \nL 209.326884 115.609015 \nL 221.024007 118.055953 \nL 232.688992 120.712534 \nL 244.228906 123.569438 \nL 255.554892 126.619792 \nL 265.223601 129.443806 \nL 274.611739 132.410308 \nL 283.6706 135.518119 \nL 291.139375 138.293924 \nL 298.307925 141.172799 \nL 305.153255 144.154445 \nL 311.65491 147.238377 \nL 317.795053 150.42376 \nL 322.624651 153.154797 \nL 327.185237 155.954253 \nL 331.470734 158.820638 \nL 335.476311 161.752031 \nL 339.198395 164.74603 \nL 342.634629 167.799709 \nL 345.783861 170.909574 \nL 348.64607 174.071528 \nL 351.222334 177.280848 \nL 353.514788 180.53216 \nL 355.526529 183.819422 \nL 357.261595 187.135929 \nL 358.72486 190.474306 \nL 359.921966 193.826521 \nL 360.859247 197.183893 \nL 361.543667 200.53713 \nL 361.982711 203.87636 \nL 362.184317 207.191163 \nL 362.156792 210.470629 \nL 361.908699 213.703399 \nL 361.448832 216.877747 \nL 360.786059 219.981608 \nL 359.929334 223.002695 \nL 358.887556 225.928542 \nL 357.669521 228.746589 \nL 356.283831 231.444294 \nL 354.738891 234.009164 \nL 353.042797 236.428903 \nL 351.203329 238.691443 \nL 349.227854 240.785071 \nL 347.123348 242.698487 \nL 344.896334 244.420918 \nL 342.552847 245.94217 \nL 340.098468 247.252729 \nL 337.538229 248.343805 \nL 334.876727 249.207428 \nL 332.118 249.836492 \nL 329.265643 250.224805 \nL 326.322741 250.367154 \nL 323.291948 250.259347 \nL 320.175515 249.89822 \nL 316.975271 249.281665 \nL 313.692738 248.408679 \nL 310.3291 247.279326 \nL 306.885266 245.894745 \nL 303.361987 244.257169 \nL 299.759848 242.369868 \nL 295.333873 239.781622 \nL 290.79586 236.849367 \nL 286.146717 233.584392 \nL 280.583885 229.372374 \nL 274.874107 224.749253 \nL 269.021203 219.741733 \nL 262.163914 213.585747 \nL 254.248386 206.164596 \nL 245.229399 197.387637 \nL 235.083083 187.206867 \nL 222.882648 174.654147 \nL 208.714733 159.765932 \nL 193.817454 143.798556 \nL 181.300225 130.078999 \nL 171.220257 118.717749 \nL 163.449369 109.648422 \nL 157.062026 101.867382 \nL 151.94727 95.299208 \nL 147.959885 89.848873 \nL 144.471254 84.696991 \nL 141.907099 80.532457 \nL 139.759583 76.610691 \nL 138.302555 73.53446 \nL 137.158659 70.637501 \nL 136.336588 67.923708 \nL 135.915567 65.886795 \nL 135.708169 63.970647 \nL 135.716731 62.176452 \nL 135.942907 60.505148 \nL 136.387642 58.957473 \nL 137.051181 57.533951 \nL 137.933021 56.234873 \nL 139.031941 55.060345 \nL 140.345976 54.010303 \nL 141.872423 53.084454 \nL 143.607865 52.282376 \nL 145.548141 51.603504 \nL 148.254091 50.927065 \nL 151.261471 50.440316 \nL 154.557692 50.141324 \nL 158.128606 50.027921 \nL 162.754278 50.133538 \nL 167.723577 50.498807 \nL 173.004591 51.119296 \nL 178.563252 51.990548 \nL 184.363662 53.108121 \nL 190.368441 54.467682 \nL 196.539117 56.065097 \nL 202.836486 57.896448 \nL 209.220988 59.958082 \nL 215.65308 62.246647 \nL 222.093609 64.759003 \nL 228.504154 67.492295 \nL 234.847378 70.443876 \nL 241.087335 73.611221 \nL 247.189769 76.991857 \nL 252.146716 79.970192 \nL 256.968175 83.0934 \nL 261.637761 86.359819 \nL 266.140322 89.767654 \nL 270.461995 93.314858 \nL 274.590239 96.99911 \nL 278.513913 100.817742 \nL 282.223276 104.767694 \nL 285.710003 108.845452 \nL 288.967221 113.046993 \nL 291.989447 117.367726 \nL 294.772612 121.802469 \nL 297.314026 126.345365 \nL 299.612309 130.989872 \nL 301.667388 135.728718 \nL 303.480399 140.55387 \nL 305.05362 145.45652 \nL 306.390433 150.42706 \nL 307.49523 155.455085 \nL 308.373265 160.529392 \nL 309.030678 165.637986 \nL 309.474278 170.768106 \nL 309.711547 175.906248 \nL 309.750509 181.038201 \nL 309.599588 186.1491 \nL 309.180278 192.232567 \nL 308.515878 198.235679 \nL 307.622326 204.129746 \nL 306.515669 209.885378 \nL 305.211771 215.472683 \nL 303.726251 220.861514 \nL 302.074219 226.021747 \nL 300.270203 230.923569 \nL 298.32794 235.537729 \nL 296.260346 239.835871 \nL 294.079407 243.7908 \nL 292.183336 246.80581 \nL 290.222009 249.550624 \nL 288.200754 252.012243 \nL 286.12435 254.178697 \nL 283.997092 256.039202 \nL 282.261249 257.30085 \nL 280.49703 258.356239 \nL 278.705984 259.201666 \nL 276.889453 259.833968 \nL 275.048632 260.250604 \nL 273.18454 260.44965 \nL 271.298056 260.429777 \nL 269.389924 260.190321 \nL 267.460762 259.731224 \nL 265.511078 259.053066 \nL 263.541279 258.15706 \nL 261.551725 257.045024 \nL 259.037395 255.354968 \nL 256.493066 253.337288 \nL 253.919127 250.999431 \nL 251.315968 248.350213 \nL 248.154228 244.774358 \nL 244.952008 240.78424 \nL 241.710606 236.401675 \nL 237.881849 230.824461 \nL 234.006041 224.786127 \nL 229.525661 217.376088 \nL 224.432843 208.471809 \nL 219.303228 199.062212 \nL 213.590676 188.137757 \nL 207.340268 175.7104 \nL 200.640404 161.868255 \nL 194.695735 149.103405 \nL 189.035396 136.430783 \nL 184.222407 125.11374 \nL 180.231087 115.179403 \nL 177.004822 106.603246 \nL 174.125373 98.308997 \nL 171.92281 91.311282 \nL 170.043699 84.578483 \nL 168.709158 79.03268 \nL 167.644507 73.705705 \nL 166.862492 68.606631 \nL 166.374175 63.743277 \nL 166.198308 59.875353 \nL 166.23709 56.178989 \nL 166.493719 52.656909 \nL 166.970297 49.311354 \nL 167.667745 46.144142 \nL 168.585793 43.15665 \nL 169.722935 40.349884 \nL 171.076418 37.724516 \nL 172.642202 35.28091 \nL 174.415007 33.019167 \nL 176.388294 30.939137 \nL 178.554302 29.04048 \nL 180.904073 27.322722 \nL 183.427499 25.785242 \nL 186.113384 24.427349 \nL 188.949503 23.248298 \nL 191.92267 22.247307 \nL 195.018839 21.423612 \nL 198.223171 20.776476 \nL 201.520152 20.305242 \nL 205.576122 19.971128 \nL 209.713606 19.88863 \nL 213.903212 20.057128 \nL 218.115142 20.476264 \nL 222.319482 21.145913 \nL 226.486497 22.066233 \nL 230.58692 23.237581 \nL 233.932473 24.405857 \nL 237.195997 25.749264 \nL 240.362126 27.268267 \nL 243.416195 28.963345 \nL 246.344322 30.83499 \nL 249.133512 32.883658 \nL 251.771712 35.109723 \nL 254.247898 37.513474 \nL 256.552122 40.095021 \nL 258.675558 42.854338 \nL 260.610552 45.791125 \nL 262.350636 48.904836 \nL 263.890556 52.194624 \nL 265.226264 55.659235 \nL 266.354945 59.297067 \nL 267.274954 63.106053 \nL 267.985821 67.083652 \nL 268.488233 71.226778 \nL 268.783945 75.531818 \nL 268.875768 79.994548 \nL 268.767487 84.610127 \nL 268.463794 89.37304 \nL 267.849275 95.274259 \nL 266.972376 101.366621 \nL 265.845477 107.636566 \nL 264.482112 114.068957 \nL 262.612022 121.756339 \nL 260.464007 129.612721 \nL 258.063147 137.605884 \nL 255.042391 146.863267 \nL 251.762638 156.196576 \nL 248.261067 165.544598 \nL 244.101065 175.997391 \nL 239.753217 186.288222 \nL 235.261193 196.314861 \nL 231.178922 204.920762 \nL 227.037777 213.160398 \nL 222.858717 220.95958 \nL 219.185038 227.365354 \nL 215.506118 233.331189 \nL 212.355043 238.060544 \nL 209.210829 242.407074 \nL 206.077245 246.346007 \nL 203.476343 249.300625 \nL 200.886592 251.944489 \nL 198.309358 254.266914 \nL 195.745866 256.258536 \nL 193.197237 257.911411 \nL 191.169762 258.985395 \nL 189.153035 259.835769 \nL 187.147628 260.460542 \nL 185.154138 260.858385 \nL 183.173217 261.028609 \nL 181.205582 260.971198 \nL 179.252027 260.686816 \nL 177.313443 260.176757 \nL 175.390832 259.442981 \nL 173.485318 258.488079 \nL 171.598163 257.315294 \nL 169.730778 255.92848 \nL 167.426745 253.900789 \nL 165.159485 251.555528 \nL 162.932867 248.903936 \nL 160.75121 245.958407 \nL 158.619296 242.732481 \nL 156.542395 239.240683 \nL 154.130857 234.721348 \nL 151.817669 229.869483 \nL 149.614623 224.714505 \nL 147.534413 219.286774 \nL 145.59057 213.617353 \nL 143.797367 207.737689 \nL 142.169705 201.679329 \nL 140.722983 195.473631 \nL 139.472914 189.151502 \nL 138.435375 182.743174 \nL 137.626221 176.277973 \nL 137.061054 169.784124 \nL 136.755025 163.288594 \nL 136.7084 157.89285 \nL 136.859665 152.527695 \nL 137.216161 147.206342 \nL 137.784589 141.941202 \nL 138.570933 136.743869 \nL 139.580339 131.625104 \nL 140.817047 126.594845 \nL 142.284302 121.662195 \nL 143.984275 116.83545 \nL 145.918003 112.122115 \nL 148.085306 107.528932 \nL 150.484746 103.061907 \nL 153.113581 98.72636 \nL 155.967709 94.526948 \nL 159.041676 90.467735 \nL 162.328638 86.552224 \nL 165.820371 82.783425 \nL 169.507261 79.163905 \nL 173.37834 75.695841 \nL 177.421325 72.381059 \nL 181.622651 69.221118 \nL 185.967536 66.217348 \nL 190.440041 63.370919 \nL 195.023152 60.682868 \nL 200.643477 57.667609 \nL 206.364349 54.883389 \nL 212.151444 52.331835 \nL 217.969166 50.014681 \nL 223.780976 47.933813 \nL 229.54971 46.09133 \nL 235.237944 44.489573 \nL 240.808329 43.131108 \nL 246.22397 42.018764 \nL 251.448782 41.155565 \nL 256.447833 40.544705 \nL 261.187714 40.189522 \nL 265.636848 40.093352 \nL 269.101061 40.213496 \nL 272.32716 40.517726 \nL 275.300683 41.00782 \nL 278.008567 41.685438 \nL 280.439195 42.552058 \nL 282.177253 43.382293 \nL 283.726976 44.334855 \nL 285.084612 45.41015 \nL 286.247091 46.608494 \nL 287.212029 47.930036 \nL 287.977734 49.374784 \nL 288.543218 50.942605 \nL 288.90816 52.63316 \nL 289.072928 54.445957 \nL 289.038575 56.38031 \nL 288.806792 58.435337 \nL 288.243019 61.172157 \nL 287.380333 64.093255 \nL 286.226025 67.195552 \nL 284.788731 70.47542 \nL 282.70441 74.639739 \nL 280.245993 79.045497 \nL 276.933393 84.478113 \nL 273.177104 90.209643 \nL 268.391145 97.10153 \nL 262.451656 105.252268 \nL 254.520387 115.71405 \nL 244.405946 128.652733 \nL 230.380786 146.206674 \nL 211.674191 169.260008 \nL 195.661124 188.665202 \nL 185.018583 201.249008 \nL 176.293685 211.240768 \nL 169.374071 218.858552 \nL 163.400239 225.14168 \nL 157.598775 230.91242 \nL 152.666255 235.504657 \nL 147.86877 239.640419 \nL 143.864155 242.802866 \nL 139.958562 245.597604 \nL 136.15171 248.012861 \nL 133.054642 249.728726 \nL 130.026069 251.170062 \nL 127.066212 252.333682 \nL 124.175548 253.217576 \nL 121.354785 253.820924 \nL 118.605064 254.144097 \nL 115.927823 254.1887 \nL 113.324975 253.95747 \nL 111.297812 253.576503 \nL 108.835093 252.859471 \nL 106.454568 251.880495 \nL 104.159979 250.646564 \nL 101.955607 249.165731 \nL 99.846281 247.446961 \nL 97.837362 245.500123 \nL 95.934737 243.335861 \nL 94.14479 240.965555 \nL 92.474413 238.401209 \nL 90.930974 235.655365 \nL 89.522231 232.741032 \nL 88.256386 229.671558 \nL 87.141949 226.460557 \nL 86.187703 223.121813 \nL 85.402655 219.669164 \nL 84.795978 216.116428 \nL 84.376923 212.477334 \nL 84.154737 208.765402 \nL 84.138596 204.993875 \nL 84.337517 201.175658 \nL 84.760283 197.323224 \nL 85.415307 193.448588 \nL 86.310592 189.563217 \nL 87.453622 185.678014 \nL 88.851235 181.803247 \nL 90.509604 177.948551 \nL 92.43413 174.122882 \nL 94.629275 170.334512 \nL 97.098611 166.591023 \nL 99.844643 162.899307 \nL 102.868829 159.265577 \nL 106.171403 155.695386 \nL 109.751403 152.19365 \nL 113.606629 148.764682 \nL 117.733562 145.412229 \nL 122.127308 142.139515 \nL 126.781641 138.949289 \nL 131.688935 135.843885 \nL 136.840205 132.825272 \nL 142.225061 129.895109 \nL 148.978572 126.497659 \nL 156.028593 123.231735 \nL 163.349544 120.099234 \nL 170.913251 117.101984 \nL 178.689072 114.241875 \nL 187.984896 111.081233 \nL 197.468626 108.114025 \nL 207.080928 105.344972 \nL 216.759569 102.779778 \nL 226.439994 100.42527 \nL 236.055961 98.289447 \nL 246.880424 96.128103 \nL 256.131478 94.493225 \nL 265.106694 93.109482 \nL 273.740438 91.989116 \nL 281.969163 91.144901 \nL 289.732186 90.589896 \nL 295.97216 90.354237 \nL 301.794532 90.348601 \nL 307.168495 90.580582 \nL 311.284044 90.960502 \nL 315.054307 91.514022 \nL 318.466441 92.244406 \nL 321.509326 93.154429 \nL 323.671397 94.013295 \nL 325.58715 94.989424 \nL 327.253362 96.083393 \nL 328.667602 97.2955 \nL 329.828178 98.625745 \nL 330.734181 100.073805 \nL 331.385454 101.639028 \nL 331.782597 103.320423 \nL 331.926923 105.116656 \nL 331.820502 107.02603 \nL 331.466062 109.046503 \nL 330.867049 111.175663 \nL 330.027521 113.410734 \nL 328.647043 116.348718 \nL 326.908488 119.440377 \nL 324.823496 122.677962 \nL 322.404897 126.052893 \nL 319.081827 130.270848 \nL 315.323995 134.655386 \nL 311.158544 139.187391 \nL 305.821418 144.633728 \nL 300.014225 150.218293 \nL 293.78396 155.90459 \nL 287.177681 161.654556 \nL 280.241913 167.428935 \nL 271.969993 174.006717 \nL 264.478845 179.698056 \nL 256.794816 185.287156 \nL 248.956919 190.734164 \nL 241.001552 196.000171 \nL 232.962378 201.047645 \nL 224.870272 205.840829 \nL 217.913437 209.721375 \nL 210.954568 213.370758 \nL 204.008467 216.77089 \nL 197.088681 219.905395 \nL 190.207623 222.75976 \nL 183.376712 225.321463 \nL 177.730239 227.225055 \nL 172.131678 228.913244 \nL 166.586499 230.382231 \nL 161.099968 231.629328 \nL 155.677224 232.652956 \nL 150.323323 233.452685 \nL 145.043319 234.029211 \nL 139.842316 234.384328 \nL 134.725542 234.520957 \nL 129.698366 234.443067 \nL 124.766401 234.155671 \nL 119.935493 233.664813 \nL 115.211798 232.977466 \nL 110.601775 232.101491 \nL 106.112253 231.045596 \nL 101.750397 229.819244 \nL 97.523787 228.432621 \nL 93.44036 226.896486 \nL 88.740935 224.871704 \nL 84.274624 222.668319 \nL 80.057115 220.307393 \nL 76.104654 217.810485 \nL 72.433994 215.199391 \nL 69.062206 212.495937 \nL 66.006584 209.721757 \nL 63.714267 207.371237 \nL 61.663521 204.998291 \nL 59.864231 202.6145 \nL 58.325992 200.230982 \nL 57.058149 197.858331 \nL 56.069688 195.506549 \nL 55.369095 193.184988 \nL 55.021293 191.355334 \nL 54.866672 189.554667 \nL 54.908763 187.786757 \nL 55.15081 186.05505 \nL 55.595731 184.362654 \nL 56.246115 182.712342 \nL 57.104172 181.106532 \nL 58.171741 179.5473 \nL 59.45027 178.036373 \nL 60.940805 176.575131 \nL 62.64395 175.164619 \nL 65.072093 173.473865 \nL 67.832067 171.864128 \nL 70.92217 170.33532 \nL 74.339568 168.886634 \nL 78.080319 167.516588 \nL 82.988823 165.973341 \nL 88.344774 164.535603 \nL 94.135044 163.197695 \nL 101.41882 161.75426 \nL 109.244932 160.426414 \nL 118.812357 159.034765 \nL 130.306723 157.607286 \nL 143.887336 156.162018 \nL 161.134707 154.578316 \nL 182.264019 152.879216 \nL 210.390346 150.858603 \nL 241.859022 148.817948 \nL 267.839915 147.343324 \nL 286.699903 146.480726 \nL 301.691546 146.009017 \nL 313.150984 145.848582 \nL 322.640094 145.909584 \nL 331.405526 146.190027 \nL 338.435417 146.635578 \nL 343.957701 147.178915 \nL 348.99477 147.880896 \nL 353.529755 148.749525 \nL 356.915052 149.605582 \nL 359.935021 150.585203 \nL 362.584314 151.690763 \nL 364.43412 152.666962 \nL 366.042714 153.725172 \nL 367.409271 154.865422 \nL 368.533539 156.087356 \nL 369.415823 157.390226 \nL 370.057011 158.772885 \nL 370.45852 160.233777 \nL 370.622274 161.770942 \nL 370.550756 163.382007 \nL 370.246883 165.064193 \nL 369.714103 166.814318 \nL 368.956252 168.628802 \nL 367.699032 170.981334 \nL 366.106082 173.419631 \nL 364.187464 175.934243 \nL 361.954013 178.514893 \nL 358.874513 181.683245 \nL 355.379096 184.910338 \nL 351.489548 188.174477 \nL 347.228268 191.452882 \nL 342.618044 194.721908 \nL 337.681814 197.957261 \nL 332.442484 201.134244 \nL 326.922674 204.227999 \nL 321.14458 207.213747 \nL 315.129799 210.06707 \nL 308.899227 212.764119 \nL 302.472975 215.281913 \nL 295.870279 217.598531 \nL 289.10949 219.693383 \nL 283.367357 221.255891 \nL 277.537221 222.64102 \nL 271.628311 223.839575 \nL 265.649506 224.843356 \nL 259.609337 225.645214 \nL 253.516041 226.239097 \nL 247.377609 226.620106 \nL 241.201855 226.784544 \nL 234.996445 226.729922 \nL 228.768986 226.455003 \nL 222.527074 225.959804 \nL 216.278362 225.245598 \nL 210.030627 224.314889 \nL 203.791831 223.171429 \nL 197.570183 221.820165 \nL 191.374195 220.267215 \nL 185.212747 218.519818 \nL 179.095126 216.5863 \nL 171.825565 214.033596 \nL 164.650905 211.244271 \nL 157.589975 208.238023 \nL 150.662706 205.036145 \nL 143.890147 201.661282 \nL 137.294465 198.137255 \nL 130.89885 194.488765 \nL 124.72745 190.741204 \nL 118.805253 186.920378 \nL 112.245272 182.404816 \nL 106.101038 177.866004 \nL 101.197311 173.987782 \nL 96.656396 170.147034 \nL 92.504412 166.367731 \nL 88.766937 162.672775 \nL 85.468644 159.083811 \nL 83.072518 156.188596 \nL 81.010494 153.391892 \nL 79.29456 150.703712 \nL 77.935697 148.133191 \nL 77.112416 146.167036 \nL 76.528592 144.285214 \nL 76.188274 142.491087 \nL 76.094929 140.787605 \nL 76.251505 139.177311 \nL 76.660308 137.662328 \nL 77.323049 136.24437 \nL 78.240806 134.924743 \nL 79.414003 133.704344 \nL 80.842417 132.583672 \nL 82.525151 131.562845 \nL 84.460628 130.641608 \nL 86.64663 129.819338 \nL 89.726933 128.92918 \nL 93.186993 128.189548 \nL 97.01814 127.597121 \nL 102.090884 127.07487 \nL 107.662795 126.750839 \nL 113.710619 126.616001 \nL 121.333138 126.684631 \nL 129.522621 126.980649 \nL 139.512716 127.575068 \nL 151.460603 128.538872 \nL 164.043531 129.77971 \nL 178.616481 131.441127 \nL 195.16132 133.563109 \nL 212.013513 135.947272 \nL 228.935811 138.557061 \nL 245.697188 141.36823 \nL 260.609157 144.088267 \nL 273.630946 146.669128 \nL 286.164786 149.379844 \nL 296.817512 151.904347 \nL 306.945643 154.544176 \nL 315.333445 156.954694 \nL 323.243684 159.464715 \nL 329.621647 161.699173 \nL 335.611451 164.013222 \nL 341.199534 166.409139 \nL 346.37465 168.888515 \nL 350.36527 171.018999 \nL 354.05892 173.207924 \nL 357.452736 175.454706 \nL 360.544953 177.75819 \nL 363.334862 180.116619 \nL 365.82278 182.527588 \nL 368.009997 184.988037 \nL 369.898754 187.494211 \nL 371.492211 190.041654 \nL 372.794322 192.625205 \nL 373.809844 195.238994 \nL 374.544261 197.876465 \nL 375.003716 200.530369 \nL 375.19492 203.192819 \nL 375.125115 205.855294 \nL 374.801941 208.5087 \nL 374.233434 211.143399 \nL 373.427911 213.749264 \nL 372.393902 216.315743 \nL 371.140055 218.831914 \nL 369.67511 221.286564 \nL 368.007788 223.668239 \nL 366.146746 225.965349 \nL 364.100524 228.166219 \nL 361.877464 230.259183 \nL 359.48566 232.232675 \nL 356.932968 234.075299 \nL 354.22687 235.775898 \nL 351.374523 237.323681 \nL 348.382724 238.708245 \nL 345.257814 239.919696 \nL 342.005755 240.948704 \nL 338.632086 241.786585 \nL 335.141912 242.425361 \nL 331.539927 242.857804 \nL 327.830442 243.077545 \nL 324.01737 243.079055 \nL 320.104293 242.857746 \nL 316.094446 242.409963 \nL 311.990799 241.73305 \nL 307.7961 240.825331 \nL 303.512881 239.686159 \nL 299.143579 238.315906 \nL 294.690518 236.71595 \nL 289.239551 234.496278 \nL 283.675409 231.955415 \nL 278.002463 229.101432 \nL 272.225485 225.944322 \nL 266.34986 222.495948 \nL 259.378516 218.122955 \nL 252.292612 213.396475 \nL 245.105511 208.343651 \nL 236.788044 202.207413 \nL 228.386656 195.73113 \nL 218.875493 188.101856 \nL 209.35365 180.181657 \nL 198.837996 171.135253 \nL 188.485495 161.935304 \nL 178.40708 152.691418 \nL 168.724612 143.51184 \nL 160.456772 135.392221 \nL 152.714873 127.483438 \nL 146.356629 120.68673 \nL 140.564958 114.157315 \nL 136.016533 108.696686 \nL 131.999424 103.499127 \nL 129.01088 99.271408 \nL 126.467886 95.267718 \nL 124.705189 92.111114 \nL 123.278921 89.124573 \nL 122.199312 86.313536 \nL 121.591146 84.194254 \nL 121.214265 82.192413 \nL 121.071768 80.309777 \nL 121.166097 78.547865 \nL 121.498952 76.907873 \nL 122.071286 75.390731 \nL 122.883342 73.997093 \nL 123.934559 72.727343 \nL 125.223637 71.581604 \nL 126.748483 70.559777 \nL 128.506243 69.661513 \nL 130.493303 68.886256 \nL 132.705276 68.233235 \nL 135.778677 67.587402 \nL 139.183893 67.128861 \nL 142.907663 66.855029 \nL 146.93512 66.763035 \nL 152.145773 66.888226 \nL 157.739131 67.264992 \nL 163.681639 67.887299 \nL 169.937463 68.749004 \nL 177.581439 70.048714 \nL 185.537768 71.656323 \nL 193.741737 73.562642 \nL 202.127332 75.759071 \nL 210.628099 78.237633 \nL 219.177924 80.991106 \nL 226.496088 83.565073 \nL 233.762668 86.332525 \nL 240.93914 89.290082 \nL 247.988622 92.434616 \nL 254.876137 95.76317 \nL 261.568865 99.272836 \nL 266.975315 102.333776 \nL 272.209048 105.516632 \nL 277.255108 108.819461 \nL 282.09989 112.240104 \nL 286.73119 115.776159 \nL 291.138223 119.424887 \nL 295.31166 123.183173 \nL 299.243615 127.047474 \nL 302.927647 131.013748 \nL 306.358754 135.077421 \nL 309.533344 139.233319 \nL 312.449186 143.47564 \nL 315.105382 147.797915 \nL 317.502291 152.192977 \nL 319.641498 156.652935 \nL 321.525742 161.16916 \nL 323.158774 165.732274 \nL 324.545362 170.332155 \nL 325.691171 174.95794 \nL 326.602608 179.598043 \nL 327.286859 184.240189 \nL 327.751663 188.871439 \nL 328.005316 193.478236 \nL 328.056465 198.046457 \nL 327.914137 202.561484 \nL 327.500937 207.888073 \nL 326.838598 213.089688 \nL 325.943355 218.139096 \nL 324.831307 223.0088 \nL 323.518224 227.671219 \nL 322.019359 232.098984 \nL 320.349342 236.265179 \nL 318.522019 240.143612 \nL 316.888448 243.137629 \nL 315.161615 245.900398 \nL 313.347991 248.418748 \nL 311.453537 250.6803 \nL 309.483664 252.673608 \nL 307.443267 254.388219 \nL 305.33669 255.814796 \nL 303.606348 256.743126 \nL 301.83779 257.478238 \nL 300.032522 258.017002 \nL 298.191833 258.356862 \nL 296.316828 258.495824 \nL 294.408426 258.432411 \nL 292.467373 258.16576 \nL 290.494266 257.695555 \nL 288.489543 257.022055 \nL 285.939636 255.895616 \nL 283.341169 254.455749 \nL 280.694259 252.706655 \nL 277.998843 250.653869 \nL 275.254729 248.3042 \nL 271.897159 245.104057 \nL 268.468636 241.50397 \nL 264.968832 237.522129 \nL 260.795567 232.421129 \nL 256.525828 226.863007 \nL 251.530273 219.999659 \nL 245.768566 211.698479 \nL 239.204382 201.860025 \nL 231.135271 189.372526 \nL 220.153152 171.929388 \nL 207.049576 150.688411 \nL 194.981508 130.723014 \nL 186.154071 115.698062 \nL 179.752225 104.381398 \nL 174.967908 95.52273 \nL 171.122858 87.994652 \nL 167.714751 80.824708 \nL 165.129376 74.866087 \nL 163.232321 70.005348 \nL 161.648292 65.381435 \nL 160.393113 61.001816 \nL 159.608386 57.543415 \nL 159.068535 54.262294 \nL 158.779276 51.161101 \nL 158.745081 48.242019 \nL 158.96917 45.506826 \nL 159.335691 43.45199 \nL 159.869037 41.516218 \nL 160.568927 39.699876 \nL 161.43451 38.00317 \nL 162.464322 36.426193 \nL 163.656313 34.968918 \nL 165.007834 33.631222 \nL 166.515647 32.412865 \nL 168.175929 31.313529 \nL 170.458949 30.106137 \nL 172.963486 29.083181 \nL 175.678457 28.243682 \nL 178.591517 27.586518 \nL 181.689177 27.110552 \nL 184.956861 26.814606 \nL 188.379032 26.69751 \nL 192.666389 26.791496 \nL 197.12274 27.13959 \nL 201.71702 27.740106 \nL 206.417186 28.591618 \nL 211.190546 29.692871 \nL 216.00407 31.042902 \nL 220.824719 32.64094 \nL 225.619766 34.486478 \nL 230.35711 36.579167 \nL 235.00557 38.918808 \nL 238.789737 41.057063 \nL 242.474787 43.366662 \nL 246.044974 45.847499 \nL 249.485458 48.49939 \nL 252.782398 51.322053 \nL 255.92301 54.315056 \nL 258.89564 57.477728 \nL 261.689819 60.809162 \nL 264.296298 64.308148 \nL 266.707086 67.973133 \nL 268.915454 71.802133 \nL 270.915964 75.792741 \nL 272.704452 79.942009 \nL 274.278022 84.246468 \nL 275.635008 88.702034 \nL 276.774962 93.303983 \nL 277.698591 98.04692 \nL 278.407698 102.924721 \nL 278.905153 107.930519 \nL 279.194782 113.056668 \nL 279.281336 118.294729 \nL 279.170364 123.635443 \nL 278.785382 130.165551 \nL 278.137201 136.809926 \nL 277.239031 143.54786 \nL 276.105033 150.35697 \nL 274.750024 157.213239 \nL 273.189281 164.091105 \nL 271.129118 172.106463 \nL 268.834803 180.069232 \nL 266.330728 187.93213 \nL 263.640655 195.646146 \nL 260.787346 203.160971 \nL 257.792341 210.425524 \nL 254.67574 217.388507 \nL 251.456036 223.998983 \nL 248.627023 229.346649 \nL 245.74421 234.368124 \nL 242.816228 239.034108 \nL 239.85079 243.316802 \nL 237.355933 246.574123 \nL 234.843332 249.533258 \nL 232.31613 252.181388 \nL 229.77712 254.506918 \nL 227.2288 256.499594 \nL 225.184944 257.848073 \nL 223.137592 258.973964 \nL 221.087703 259.874021 \nL 219.03617 260.545687 \nL 216.983844 260.987028 \nL 214.931539 261.196791 \nL 212.880059 261.174394 \nL 210.830205 260.919963 \nL 208.782798 260.434277 \nL 206.73869 259.718797 \nL 204.698783 258.775673 \nL 202.664042 257.607696 \nL 200.635509 256.218283 \nL 198.11032 254.176389 \nL 195.599081 251.804107 \nL 193.104558 249.112089 \nL 190.62985 246.112237 \nL 188.178425 242.817684 \nL 185.272921 238.495286 \nL 182.41402 233.795458 \nL 179.610125 228.746332 \nL 176.870559 223.377531 \nL 174.205598 217.719778 \nL 171.205781 210.79601 \nL 168.342135 203.572922 \nL 165.635508 196.101828 \nL 163.108132 188.433785 \nL 160.783333 180.619032 \nL 158.685275 172.706478 \nL 157.086115 165.882231 \nL 155.687287 159.049223 \nL 154.504281 152.234559 \nL 153.552265 145.463891 \nL 152.845848 138.761311 \nL 152.398866 132.149281 \nL 152.233866 126.723459 \nL 152.264746 121.386079 \nL 152.497618 116.147414 \nL 152.937814 111.016899 \nL 153.589826 106.003161 \nL 154.457201 101.114003 \nL 155.54248 96.356465 \nL 156.847128 91.736805 \nL 158.371478 87.260582 \nL 160.114683 82.932647 \nL 162.074652 78.757213 \nL 164.248032 74.737867 \nL 166.630185 70.877671 \nL 169.215196 67.179166 \nL 171.995819 63.64441 \nL 174.963547 60.275105 \nL 178.108588 57.072546 \nL 181.419928 54.037755 \nL 184.885359 51.171485 \nL 188.491541 48.474295 \nL 192.224071 45.946573 \nL 196.067552 43.588628 \nL 200.005687 41.400666 \nL 204.832261 38.99977 \nL 209.73959 36.844274 \nL 214.695617 34.934618 \nL 219.66739 33.271357 \nL 224.621385 31.855273 \nL 229.523812 30.687337 \nL 234.340961 29.768802 \nL 239.039517 29.10112 \nL 243.586893 28.685994 \nL 247.951563 28.525291 \nL 252.103358 28.621054 \nL 255.379953 28.89833 \nL 258.473416 29.356473 \nL 261.369307 29.996744 \nL 264.054325 30.820364 \nL 266.516394 31.828485 \nL 268.744729 33.022155 \nL 270.352737 34.111289 \nL 271.800922 35.32015 \nL 273.085709 36.64903 \nL 274.204115 38.098136 \nL 275.153774 39.667559 \nL 275.932924 41.357309 \nL 276.54042 43.167234 \nL 276.975732 45.097046 \nL 277.23893 47.146328 \nL 277.330674 49.314492 \nL 277.206178 52.190723 \nL 276.819404 55.249679 \nL 276.175325 58.489062 \nL 275.28014 61.906107 \nL 273.884916 66.236441 \nL 272.153518 70.811295 \nL 270.102683 75.622982 \nL 267.33105 81.524134 \nL 264.181627 87.719617 \nL 260.163242 95.137185 \nL 255.171669 103.874727 \nL 248.50267 115.04844 \nL 239.996744 128.821219 \nL 228.204486 147.448269 \nL 213.197482 170.729124 \nL 200.420565 190.173091 \nL 191.42688 203.493829 \nL 184.035436 214.059786 \nL 178.15922 222.101052 \nL 173.074098 228.71717 \nL 168.734511 234.048503 \nL 164.498694 238.914886 \nL 160.950707 242.690917 \nL 157.478772 246.082278 \nL 154.082377 249.072193 \nL 151.309354 251.246616 \nL 148.588151 253.125018 \nL 145.918605 254.701464 \nL 143.300727 255.971315 \nL 140.734721 256.931223 \nL 138.719597 257.474611 \nL 136.738383 257.817932 \nL 134.791627 257.961351 \nL 132.880022 257.9056 \nL 131.004446 257.651949 \nL 129.165956 257.20224 \nL 127.365793 256.558848 \nL 125.6054 255.724669 \nL 123.886443 254.703133 \nL 121.798882 253.168774 \nL 119.783134 251.356549 \nL 117.843915 249.276253 \nL 115.986425 246.93872 \nL 114.216434 244.355721 \nL 112.540233 241.539873 \nL 110.96464 238.504517 \nL 109.496946 235.263648 \nL 107.889082 231.123868 \nL 106.461936 226.735036 \nL 105.230381 222.123752 \nL 104.209945 217.316934 \nL 103.416524 212.341626 \nL 102.866335 207.224733 \nL 102.605378 202.871662 \nL 102.533976 198.453755 \nL 102.661315 193.985692 \nL 102.996327 189.481703 \nL 103.547637 184.955528 \nL 104.323416 180.42033 \nL 105.331273 175.888655 \nL 106.578229 171.372384 \nL 108.070562 166.882716 \nL 109.813714 162.430125 \nL 111.812253 158.024359 \nL 114.069731 153.674426 \nL 116.588609 149.388597 \nL 119.370241 145.174418 \nL 122.414723 141.038725 \nL 125.720859 136.987669 \nL 129.286176 133.026755 \nL 133.106764 129.160866 \nL 137.177331 125.394322 \nL 141.491146 121.730923 \nL 146.040036 118.173992 \nL 150.814372 114.72644 \nL 155.803089 111.390826 \nL 160.993696 108.169407 \nL 166.37232 105.064209 \nL 173.053322 101.493969 \nL 179.954322 98.096706 \nL 187.044045 94.87527 \nL 194.288904 91.832539 \nL 201.653199 88.971508 \nL 209.099388 86.29539 \nL 217.837865 83.411717 \nL 226.570293 80.790823 \nL 235.230798 78.439726 \nL 243.752629 76.366246 \nL 252.068928 74.578941 \nL 260.113549 73.087092 \nL 267.821872 71.900494 \nL 274.114047 71.134078 \nL 280.075929 70.605873 \nL 285.672152 70.32233 \nL 290.869777 70.289698 \nL 294.87472 70.458461 \nL 298.565881 70.808804 \nL 301.928884 71.343634 \nL 304.95101 72.065505 \nL 307.115823 72.779159 \nL 309.050614 73.614823 \nL 310.751285 74.573221 \nL 312.21457 75.654825 \nL 313.437933 76.859884 \nL 314.419619 78.188407 \nL 315.158656 79.640136 \nL 315.654842 81.214532 \nL 315.908728 82.910798 \nL 315.921613 84.72783 \nL 315.695527 86.664228 \nL 315.233207 88.718313 \nL 314.53809 90.88807 \nL 313.348065 93.759403 \nL 311.810006 96.802679 \nL 309.934642 100.01197 \nL 307.734 103.380623 \nL 304.682495 107.622914 \nL 301.206316 112.069942 \nL 296.649477 117.496183 \nL 291.59522 123.15315 \nL 285.26939 129.863377 \nL 278.425403 136.790262 \nL 270.195431 144.78002 \nL 261.500338 152.906506 \nL 252.437024 161.092083 \nL 242.046149 170.159461 \nL 232.498591 178.206759 \nL 222.845224 186.063102 \nL 213.154337 193.649269 \nL 204.557235 200.103663 \nL 196.014252 206.232533 \nL 188.608355 211.290106 \nL 181.286154 216.031129 \nL 174.06331 220.427856 \nL 167.961644 223.90342 \nL 161.950299 227.093639 \nL 156.035823 229.986281 \nL 150.224069 232.570998 \nL 144.520369 234.839358 \nL 138.929717 236.784983 \nL 134.360653 238.156622 \nL 129.876194 239.299738 \nL 125.479129 240.213998 \nL 121.172375 240.900075 \nL 116.958999 241.359687 \nL 112.842266 241.595549 \nL 108.825739 241.611355 \nL 104.913243 241.411761 \nL 101.108934 241.002354 \nL 97.417355 240.389577 \nL 93.843413 239.5807 \nL 90.39238 238.583768 \nL 87.069977 237.407523 \nL 83.882332 236.06136 \nL 80.835959 234.555233 \nL 77.93778 232.899593 \nL 75.195067 231.105307 \nL 72.615463 229.183564 \nL 70.206906 227.14582 \nL 67.977608 225.003681 \nL 65.936017 222.76885 \nL 64.090777 220.453029 \nL 62.450631 218.067831 \nL 61.024384 215.624731 \nL 59.820851 213.13495 \nL 58.848773 210.609404 \nL 58.116765 208.058642 \nL 57.633179 205.492772 \nL 57.40611 202.921399 \nL 57.443296 200.353574 \nL 57.75202 197.797762 \nL 58.199097 195.767041 \nL 58.827506 193.752727 \nL 59.640185 191.758237 \nL 60.639808 189.786693 \nL 61.828734 187.840935 \nL 63.584137 185.448828 \nL 65.641658 183.105252 \nL 68.003611 180.813788 \nL 70.671381 178.577312 \nL 73.645349 176.39801 \nL 76.924922 174.27741 \nL 80.50842 172.216406 \nL 84.393127 170.215312 \nL 89.446918 167.89272 \nL 94.920241 165.654721 \nL 100.802165 163.499117 \nL 107.079468 161.422993 \nL 114.881976 159.096638 \nL 123.173187 156.867544 \nL 133.205621 154.430743 \nL 143.779689 152.102835 \nL 156.247365 149.60311 \nL 170.698718 146.961662 \nL 185.642259 144.454661 \nL 202.465519 141.849628 \nL 221.030866 139.199958 \nL 239.531208 136.778122 \nL 257.663158 134.630018 \nL 273.699658 132.954663 \nL 287.592064 131.725956 \nL 299.392708 130.90167 \nL 309.225772 130.424524 \nL 318.361553 130.215759 \nL 325.728135 130.273776 \nL 331.542337 130.515507 \nL 336.869516 130.944653 \nL 341.688332 131.569887 \nL 345.302304 132.246168 \nL 348.54134 133.06752 \nL 351.397926 134.036881 \nL 353.403748 134.920423 \nL 355.158623 135.900819 \nL 356.66087 136.978438 \nL 357.909464 138.153268 \nL 358.904046 139.424923 \nL 359.644879 140.792611 \nL 360.132905 142.255138 \nL 360.369636 143.810898 \nL 360.357226 145.457873 \nL 360.098404 147.193627 \nL 359.596457 149.015312 \nL 358.855243 150.919667 \nL 357.879085 152.90303 \nL 356.3359 155.487116 \nL 354.443581 158.179507 \nL 352.213512 160.970533 \nL 349.657934 163.84967 \nL 346.179926 167.404953 \nL 342.275591 171.049843 \nL 337.969588 174.762057 \nL 333.287318 178.518172 \nL 328.254603 182.293812 \nL 322.897468 186.063884 \nL 317.241809 189.802812 \nL 311.31327 193.484769 \nL 305.136955 197.083925 \nL 298.73726 200.574702 \nL 292.137768 203.932011 \nL 285.361129 207.131515 \nL 278.428965 210.149866 \nL 271.361847 212.964934 \nL 264.179244 215.556031 \nL 256.899575 217.904123 \nL 250.771624 219.662789 \nL 244.597938 221.231864 \nL 238.387664 222.603511 \nL 232.149563 223.771012 \nL 225.892087 224.72877 \nL 219.623408 225.472391 \nL 213.351491 225.998695 \nL 207.08415 226.305764 \nL 200.829116 226.392894 \nL 194.594097 226.260672 \nL 188.386851 225.910926 \nL 182.215237 225.346732 \nL 176.087284 224.572367 \nL 170.011232 223.593291 \nL 163.995632 222.416112 \nL 158.049319 221.048523 \nL 152.181517 219.499238 \nL 146.401822 217.777932 \nL 139.596665 215.500251 \nL 132.951038 213.009926 \nL 126.484038 210.328209 \nL 120.215656 207.477617 \nL 114.166786 204.481658 \nL 108.359086 201.364606 \nL 102.8149 198.151243 \nL 97.557157 194.866627 \nL 92.609162 191.53579 \nL 87.994446 188.18354 \nL 83.736538 184.834195 \nL 79.858712 181.511354 \nL 76.383802 178.237667 \nL 73.333877 175.034624 \nL 71.132189 172.433972 \nL 69.251867 169.907261 \nL 67.703724 167.464552 \nL 66.497802 165.115057 \nL 65.785614 163.308191 \nL 65.302492 161.570143 \nL 65.05219 159.904344 \nL 65.038005 158.313821 \nL 65.262748 156.801193 \nL 65.728682 155.368666 \nL 66.437562 154.018037 \nL 67.390592 152.750689 \nL 68.588386 151.567602 \nL 70.031017 150.469353 \nL 71.717947 149.456129 \nL 73.648076 148.527735 \nL 76.400101 147.485648 \nL 79.524789 146.573343 \nL 83.016147 145.788149 \nL 86.866722 145.126648 \nL 91.949159 144.490316 \nL 97.518544 144.017956 \nL 104.604509 143.661678 \nL 112.289413 143.499711 \nL 121.753662 143.530253 \nL 133.190506 143.807317 \nL 146.758397 144.371245 \nL 164.029615 145.334194 \nL 185.196379 146.752105 \nL 211.748491 148.762092 \nL 240.022239 151.117261 \nL 264.540496 153.37585 \nL 283.580796 155.35143 \nL 298.823799 157.158073 \nL 310.574392 158.756346 \nL 320.399593 160.288279 \nL 329.584757 161.942907 \nL 337.058585 163.504776 \nL 343.976875 165.184443 \nL 349.44597 166.725362 \nL 354.475714 168.365372 \nL 359.055252 170.108881 \nL 362.521347 171.643292 \nL 365.66503 173.253161 \nL 368.483584 174.9391 \nL 370.975434 176.701016 \nL 373.140074 178.538087 \nL 374.636539 180.060808 \nL 375.924676 181.629437 \nL 377.005638 183.242458 \nL 377.880977 184.898021 \nL 378.552628 186.593932 \nL 379.022886 188.327669 \nL 379.294392 190.096363 \nL 379.370085 191.896821 \nL 379.253253 193.725524 \nL 378.947446 195.578637 \nL 378.305233 197.923018 \nL 377.381619 200.290323 \nL 376.18501 202.671155 \nL 374.724261 205.055499 \nL 373.008517 207.432786 \nL 371.047217 209.791948 \nL 368.849947 212.121499 \nL 366.426423 214.409599 \nL 363.233261 217.083537 \nL 359.745095 219.659061 \nL 355.978447 222.114729 \nL 351.949458 224.429134 \nL 347.673791 226.58114 \nL 343.933209 228.23551 \nL 340.040195 229.75115 \nL 336.002738 231.11692 \nL 331.828535 232.322179 \nL 327.524837 233.356864 \nL 323.098566 234.211613 \nL 318.556256 234.877776 \nL 313.904079 235.347548 \nL 309.147912 235.613983 \nL 304.293284 235.671054 \nL 299.345491 235.513722 \nL 294.309573 235.137968 \nL 289.190416 234.54083 \nL 283.992758 233.720398 \nL 278.721274 232.675876 \nL 273.380623 231.407578 \nL 267.975525 229.916916 \nL 262.510796 228.206422 \nL 256.991453 226.279682 \nL 250.303578 223.688817 \nL 243.554334 220.803397 \nL 236.754219 217.635529 \nL 229.914705 214.199292 \nL 223.048362 210.510615 \nL 216.168995 206.587106 \nL 208.146891 201.738529 \nL 200.154261 196.629282 \nL 192.220411 191.294391 \nL 184.377504 185.770707 \nL 175.570562 179.275887 \nL 166.984826 172.6432 \nL 158.6812 165.932287 \nL 150.724399 159.202926 \nL 143.182087 152.514247 \nL 136.977364 146.740454 \nL 131.190693 141.079387 \nL 125.869349 135.566795 \nL 121.059782 130.236479 \nL 117.378763 125.836697 \nL 114.133807 121.612458 \nL 111.350325 117.580694 \nL 109.40025 114.37904 \nL 107.799373 111.32975 \nL 106.558865 108.440017 \nL 105.832555 106.247403 \nL 105.347541 104.163836 \nL 105.107545 102.191822 \nL 105.115631 100.333512 \nL 105.374167 98.590706 \nL 105.884814 96.964859 \nL 106.648489 95.457084 \nL 107.665364 94.068162 \nL 108.934844 92.798548 \nL 110.455579 91.648393 \nL 112.225453 90.617535 \nL 114.241549 89.705532 \nL 116.500231 88.911668 \nL 118.997081 88.234988 \nL 122.445144 87.552087 \nL 126.245574 87.047594 \nL 130.385054 86.718265 \nL 134.848643 86.560451 \nL 140.609491 86.591863 \nL 146.782175 86.857202 \nL 153.33296 87.348786 \nL 161.405225 88.197733 \nL 169.88236 89.331339 \nL 178.700837 90.737304 \nL 187.794952 92.403827 \nL 197.097661 94.319858 \nL 206.541321 96.475271 \nL 216.058472 98.860968 \nL 225.582563 101.46897 \nL 235.048662 104.29238 \nL 244.3941 107.325346 \nL 253.559091 110.562923 \nL 261.22834 113.49766 \nL 268.690319 116.577337 \nL 275.914114 119.799793 \nL 282.871287 123.162935 \nL 289.53604 126.664538 \nL 294.849901 129.686541 \nL 299.932792 132.801361 \nL 304.774234 136.007099 \nL 309.365172 139.301545 \nL 313.69796 142.682115 \nL 317.766334 146.145786 \nL 321.565401 149.689053 \nL 325.091662 153.307878 \nL 328.342917 156.997642 \nL 331.31828 160.753117 \nL 334.018046 164.568424 \nL 336.443716 168.437014 \nL 338.597902 172.351653 \nL 340.484217 176.304406 \nL 342.10726 180.286642 \nL 343.472497 184.289035 \nL 344.586205 188.301585 \nL 345.45535 192.313637 \nL 346.0875 196.313919 \nL 346.490732 200.290581 \nL 346.673576 204.231224 \nL 346.644878 208.122989 \nL 346.413728 211.952595 \nL 345.989388 215.706419 \nL 345.381147 219.370574 \nL 344.598329 222.930985 \nL 343.650129 226.373477 \nL 342.545617 229.68386 \nL 341.293588 232.848051 \nL 339.902571 235.85212 \nL 338.380758 238.682453 \nL 336.735919 241.325777 \nL 334.9754 243.769291 \nL 333.10606 246.000793 \nL 331.134285 248.008719 \nL 329.065908 249.782277 \nL 326.906269 251.311465 \nL 324.660133 252.587225 \nL 322.33174 253.601465 \nL 320.412287 254.219796 \nL 318.444222 254.66313 \nL 316.428972 254.928818 \nL 314.367772 255.014702 \nL 312.261692 254.919113 \nL 310.111576 254.640874 \nL 307.363081 254.035252 \nL 304.547899 253.143023 \nL 301.666722 251.965217 \nL 298.719915 250.504066 \nL 295.707641 248.763023 \nL 292.629853 246.746672 \nL 288.849791 243.971815 \nL 284.97474 240.820807 \nL 281.004304 237.307709 \nL 276.251298 232.7729 \nL 271.368437 227.795571 \nL 265.630659 221.605691 \nL 258.979975 214.063609 \nL 251.35957 205.05618 \nL 241.925887 193.528441 \nL 229.778172 178.30491 \nL 212.426605 156.174475 \nL 194.502224 132.986253 \nL 182.946507 117.723113 \nL 174.387546 106.072239 \nL 167.883224 96.851066 \nL 162.624165 88.993086 \nL 158.494325 82.396755 \nL 155.348142 76.947719 \nL 153.026916 72.529891 \nL 151.073913 68.354897 \nL 149.507457 64.430591 \nL 148.508991 61.356709 \nL 147.798034 58.464905 \nL 147.381161 55.757961 \nL 147.262907 53.727058 \nL 147.338146 51.816903 \nL 147.608193 50.028237 \nL 148.073716 48.36164 \nL 148.734733 46.817501 \nL 149.590571 45.396055 \nL 150.639895 44.097375 \nL 151.880683 42.921378 \nL 153.310239 41.867857 \nL 154.925197 40.93648 \nL 156.721517 40.126765 \nL 159.214768 39.284874 \nL 161.973505 38.630973 \nL 164.9857 38.163582 \nL 168.237934 37.881093 \nL 171.715455 37.781819 \nL 176.163294 37.90202 \nL 180.882808 38.280372 \nL 185.842285 38.913761 \nL 191.008308 39.799191 \nL 196.346094 40.933774 \nL 201.819833 42.314835 \nL 207.393044 43.939918 \nL 213.028926 45.80679 \nL 218.690718 47.913475 \nL 224.342046 50.25823 \nL 229.947266 52.839453 \nL 235.47178 55.65574 \nL 240.882352 58.705715 \nL 245.28127 61.42487 \nL 249.561804 64.304504 \nL 253.707681 67.343637 \nL 257.703731 70.541182 \nL 261.535949 73.895844 \nL 265.191573 77.40607 \nL 268.659116 81.07 \nL 271.928415 84.885453 \nL 274.990681 88.849783 \nL 277.838467 92.959907 \nL 280.465721 97.212206 \nL 282.867741 101.602491 \nL 285.041185 106.12596 \nL 286.984014 110.777127 \nL 288.695466 115.549803 \nL 290.176018 120.437064 \nL 291.427302 125.43119 \nL 292.452062 130.523673 \nL 293.254055 135.705182 \nL 293.838 140.965556 \nL 294.209463 146.29379 \nL 294.374797 151.678057 \nL 294.34102 157.105704 \nL 294.115748 162.563281 \nL 293.604071 169.131805 \nL 292.843059 175.696956 \nL 291.848028 182.231379 \nL 290.63467 188.706469 \nL 289.218828 195.092548 \nL 287.616296 201.359048 \nL 285.842633 207.474753 \nL 283.913006 213.408026 \nL 281.842035 219.127075 \nL 279.643666 224.600234 \nL 277.331071 229.79625 \nL 274.916547 234.684607 \nL 272.411494 239.235811 \nL 269.82633 243.421704 \nL 267.617682 246.611694 \nL 265.364929 249.515211 \nL 263.07256 252.118972 \nL 260.7446 254.410815 \nL 258.384645 256.379874 \nL 256.475805 257.716259 \nL 254.549994 258.835699 \nL 252.608526 259.734552 \nL 250.652577 260.409813 \nL 248.683209 260.859107 \nL 246.701365 261.080732 \nL 244.707908 261.073635 \nL 242.703613 260.837432 \nL 240.689203 260.3724 \nL 238.66534 259.679491 \nL 236.632667 258.760316 \nL 234.591806 257.617151 \nL 232.543378 256.252891 \nL 229.973188 254.242076 \nL 227.393515 251.899563 \nL 224.805821 249.234938 \nL 222.211748 246.259143 \nL 219.093084 242.294618 \nL 215.971676 237.922695 \nL 212.851917 233.168576 \nL 209.221179 227.175173 \nL 205.609286 220.743836 \nL 202.027477 213.922198 \nL 197.987552 205.71121 \nL 194.026208 197.129416 \nL 190.168791 188.251973 \nL 186.443631 179.153359 \nL 182.881781 169.906393 \nL 179.516711 160.581399 \nL 176.383817 151.245432 \nL 173.519867 141.96169 \nL 171.263959 133.927633 \nL 169.267693 126.015156 \nL 167.555648 118.257834 \nL 166.33237 111.755485 \nL 165.349405 105.407177 \nL 164.619887 99.22881 \nL 164.155744 93.234685 \nL 163.979317 88.389544 \nL 163.99977 83.687782 \nL 164.221491 79.135241 \nL 164.647961 74.737087 \nL 165.28165 70.497842 \nL 166.123978 66.4214 \nL 167.175285 62.511073 \nL 168.434751 58.76965 \nL 169.900372 55.199407 \nL 171.568947 51.802152 \nL 173.436066 48.579289 \nL 175.4961 45.531829 \nL 177.742199 42.660496 \nL 180.166331 39.965688 \nL 182.759296 37.44758 \nL 185.510766 35.106145 \nL 188.409347 32.941235 \nL 191.442629 30.952552 \nL 194.597252 29.139746 \nL 197.858995 27.502393 \nL 201.212856 26.040113 \nL 204.643141 24.752507 \nL 208.837416 23.437498 \nL 213.08927 22.373128 \nL 217.368973 21.559163 \nL 221.646366 20.995595 \nL 225.891159 20.682656 \nL 230.073222 20.620829 \nL 234.162889 20.81086 \nL 238.131245 21.253695 \nL 241.325391 21.816674 \nL 244.400465 22.556758 \nL 247.341745 23.474771 \nL 250.135348 24.571516 \nL 252.768308 25.847849 \nL 255.228664 27.304559 \nL 257.505519 28.942401 \nL 259.589125 30.762015 \nL 261.470921 32.763922 \nL 262.826084 34.496945 \nL 264.044194 36.346966 \nL 265.122602 38.313992 \nL 266.059201 40.397898 \nL 267.028134 43.166811 \nL 267.771087 46.117288 \nL 268.287383 49.24824 \nL 268.577583 52.558225 \nL 268.643467 56.045365 \nL 268.487979 59.707337 \nL 268.115158 63.541326 \nL 267.530081 67.54402 \nL 266.556413 72.564507 \nL 265.298015 77.814654 \nL 263.768639 83.285514 \nL 261.662226 89.933483 \nL 259.233794 96.849468 \nL 256.099802 105.054617 \nL 252.624711 113.546936 \nL 248.362519 123.394262 \nL 243.262359 134.625301 \nL 237.305796 147.218749 \nL 230.513171 161.078791 \nL 222.945622 176.005997 \nL 215.8799 189.467919 \nL 209.411002 201.337311 \nL 203.582125 211.578663 \nL 198.403957 220.231943 \nL 193.868617 227.393511 \nL 189.959004 233.196684 \nL 186.108334 238.524041 \nL 182.856677 242.682258 \nL 179.651356 246.440084 \nL 176.493095 249.777247 \nL 173.897514 252.223799 \nL 171.335181 254.356591 \nL 168.80633 256.16782 \nL 166.31124 257.651053 \nL 164.339739 258.598053 \nL 162.390378 259.329986 \nL 160.463516 259.845564 \nL 158.559611 260.144092 \nL 156.679236 260.225527 \nL 154.823094 260.090416 \nL 152.992029 259.739957 \nL 151.187025 259.175949 \nL 149.409255 258.400783 \nL 147.660061 257.417457 \nL 145.940956 256.229548 \nL 143.837027 254.463312 \nL 141.786609 252.393152 \nL 139.793989 250.029545 \nL 137.863982 247.384129 \nL 136.001909 244.469588 \nL 134.213601 241.299562 \nL 132.173965 237.178717 \nL 130.261594 232.737296 \nL 128.489299 228.002952 \nL 126.870769 223.004289 \nL 125.420443 217.770581 \nL 124.153436 212.331486 \nL 123.085307 206.716738 \nL 122.231974 200.955913 \nL 121.609485 195.07815 \nL 121.233831 189.111931 \nL 121.120698 184.092477 \nL 121.19878 179.04623 \nL 121.476586 173.988043 \nL 121.962181 168.932142 \nL 122.663154 163.892063 \nL 123.58645 158.88062 \nL 124.738285 153.909877 \nL 126.124069 148.991121 \nL 127.748318 144.134852 \nL 129.614539 139.350778 \nL 131.725175 134.647822 \nL 134.081521 130.034131 \nL 136.683661 125.517097 \nL 139.530384 121.103382 \nL 142.619165 116.798954 \nL 145.946098 112.609134 \nL 149.505877 108.538615 \nL 153.291784 104.591539 \nL 157.295643 100.771537 \nL 161.507856 97.081773 \nL 165.917405 93.525019 \nL 170.511879 90.103703 \nL 175.277527 86.819959 \nL 180.199255 83.675695 \nL 185.260755 80.672655 \nL 191.494339 77.257702 \nL 197.871655 74.051084 \nL 204.3584 71.055441 \nL 210.918504 68.273471 \nL 217.514435 65.707995 \nL 224.107508 63.362078 \nL 230.658222 61.239015 \nL 238.193856 59.048579 \nL 245.553854 57.172567 \nL 252.675266 55.617687 \nL 258.542754 54.545887 \nL 264.152285 53.719919 \nL 269.46799 53.144521 \nL 274.45594 52.824469 \nL 279.084482 52.76441 \nL 282.646004 52.91618 \nL 285.922396 53.254014 \nL 288.899841 53.780127 \nL 291.566094 54.496487 \nL 293.467858 55.207692 \nL 295.159021 56.042426 \nL 296.635662 57.001256 \nL 297.89461 58.084553 \nL 298.933422 59.292526 \nL 299.750403 60.625191 \nL 300.344607 62.082366 \nL 300.715832 63.663644 \nL 300.864603 65.368402 \nL 300.792155 67.195785 \nL 300.500449 69.144714 \nL 299.992102 71.213861 \nL 299.057104 73.966927 \nL 297.796603 76.901731 \nL 296.219857 80.014039 \nL 293.925304 83.976265 \nL 291.211263 88.177515 \nL 288.100591 92.607003 \nL 284.003281 98.047052 \nL 278.754834 104.597217 \nL 272.966197 111.468841 \nL 265.893281 119.535587 \nL 256.580735 129.793768 \nL 245.778949 141.353363 \nL 232.611731 155.110145 \nL 218.166722 169.869107 \nL 204.65348 183.352827 \nL 193.215685 194.456199 \nL 183.868363 203.247802 \nL 175.641036 210.710417 \nL 168.497442 216.925869 \nL 161.528061 222.698688 \nL 155.580998 227.352445 \nL 149.780422 231.607338 \nL 144.928009 234.918858 \nL 140.187845 237.906682 \nL 135.561391 240.559502 \nL 131.049914 242.867881 \nL 127.37908 244.523015 \nL 123.789726 245.930607 \nL 120.282787 247.088515 \nL 116.859354 247.995644 \nL 113.520746 248.65197 \nL 110.268581 249.058529 \nL 107.104784 249.217397 \nL 104.031657 249.131721 \nL 101.051929 248.80565 \nL 98.168738 248.244315 \nL 95.385668 247.453784 \nL 92.706799 246.441055 \nL 90.136687 245.213948 \nL 87.680363 243.781079 \nL 85.343377 242.151812 \nL 83.131711 240.336117 \nL 81.051855 238.34457 \nL 79.110712 236.188227 \nL 77.315575 233.878569 \nL 75.67415 231.427418 \nL 74.19446 228.846801 \nL 72.884791 226.148938 \nL 71.753696 223.346119 \nL 70.809872 220.450626 \nL 70.062136 217.474648 \nL 69.519346 214.430194 \nL 69.190306 211.329042 \nL 69.083716 208.182645 \nL 69.208085 205.002085 \nL 69.571658 201.797999 \nL 70.182319 198.580535 \nL 71.047511 195.359294 \nL 72.174167 192.143304 \nL 73.568651 188.940972 \nL 75.236608 185.760071 \nL 77.182951 182.607714 \nL 79.411762 179.490348 \nL 81.926243 176.413753 \nL 84.728614 173.383044 \nL 87.820122 170.402684 \nL 91.200905 167.476511 \nL 94.86999 164.607751 \nL 98.825274 161.799069 \nL 103.063437 159.052595 \nL 107.579956 156.369976 \nL 112.36907 153.752425 \nL 118.465876 150.698404 \nL 124.930525 147.740104 \nL 131.745962 144.877853 \nL 138.89251 142.111624 \nL 146.348009 139.441187 \nL 155.403625 136.446408 \nL 164.803084 133.581473 \nL 174.499185 130.846728 \nL 185.878107 127.882279 \nL 197.496153 125.092952 \nL 209.266608 122.484503 \nL 222.577141 119.776658 \nL 235.830958 117.324253 \nL 248.890371 115.147589 \nL 261.616473 113.271096 \nL 272.5372 111.877691 \nL 282.990852 110.765148 \nL 291.682752 110.039956 \nL 299.888841 109.562849 \nL 307.554339 109.34938 \nL 313.655954 109.38769 \nL 319.293908 109.639776 \nL 324.441785 110.113961 \nL 328.34038 110.684174 \nL 331.870594 111.417564 \nL 335.022236 112.317289 \nL 337.265211 113.158557 \nL 339.256901 114.108869 \nL 340.994462 115.168882 \nL 342.47578 116.33891 \nL 343.699492 117.618929 \nL 344.664953 119.008557 \nL 345.372226 120.507034 \nL 345.822072 122.113236 \nL 346.015982 123.825633 \nL 345.956092 125.64231 \nL 345.645222 127.560954 \nL 345.086799 129.578864 \nL 344.284859 131.692929 \nL 343.244032 133.89966 \nL 341.614943 136.782432 \nL 339.631826 139.7955 \nL 337.306911 142.929571 \nL 334.653463 146.174506 \nL 331.055558 150.199308 \nL 327.030564 154.347637 \nL 322.605329 158.597773 \nL 317.807537 162.926764 \nL 311.776858 168.044839 \nL 305.322521 173.19797 \nL 298.489331 178.34546 \nL 291.321336 183.445939 \nL 283.861281 188.457855 \nL 276.150247 193.339971 \nL 269.370707 197.39065 \nL 262.458838 201.291514 \nL 255.436672 205.018774 \nL 248.32495 208.549786 \nL 241.143098 211.863253 \nL 233.909261 214.939451 \nL 226.640361 217.760367 \nL 219.352177 220.309925 \nL 213.274624 222.217091 \nL 207.201973 223.91908 \nL 201.141877 225.410053 \nL 195.101668 226.685303 \nL 189.088411 227.741306 \nL 183.108969 228.575734 \nL 177.170074 229.187449 \nL 171.278393 229.576567 \nL 165.440583 229.744392 \nL 159.663367 229.693423 \nL 153.953595 229.427337 \nL 148.318273 228.950948 \nL 142.764643 228.270192 \nL 137.30021 227.392042 \nL 131.932795 226.324484 \nL 126.670559 225.076445 \nL 121.522038 223.657717 \nL 115.506474 221.744877 \nL 109.683637 219.621137 \nL 104.070471 217.307375 \nL 98.68468 214.825501 \nL 93.544688 212.198231 \nL 88.669554 209.448822 \nL 84.078832 206.600841 \nL 79.792479 203.677924 \nL 75.830653 200.703528 \nL 72.213573 197.7007 \nL 68.961271 194.691837 \nL 66.093449 191.698489 \nL 64.01112 189.23069 \nL 62.219704 186.799115 \nL 60.72937 184.414288 \nL 59.549693 182.086004 \nL 58.689607 179.823278 \nL 58.23716 178.065822 \nL 57.998284 176.359356 \nL 57.976414 174.707294 \nL 58.174627 173.11268 \nL 58.595532 171.578173 \nL 59.241339 170.106042 \nL 60.113804 168.698175 \nL 61.214214 167.35607 \nL 62.543353 166.080841 \nL 64.101548 164.873228 \nL 65.888599 163.733601 \nL 68.443152 162.404651 \nL 71.3517 161.181174 \nL 74.610493 160.061627 \nL 78.214571 159.04371 \nL 82.986434 157.952101 \nL 88.233512 156.996132 \nL 93.940394 156.168305 \nL 101.155781 155.353151 \nL 110.097461 154.602118 \nL 119.729395 154.021239 \nL 131.316014 153.541092 \nL 146.425557 153.155639 \nL 165.38898 152.911134 \nL 191.477881 152.809752 \nL 230.987091 152.893329 \nL 265.105748 153.16264 \nL 287.11251 153.550793 \nL 302.261042 154.017388 \nL 315.131353 154.628515 \nL 325.872725 155.370007 \nL 334.680893 156.209767 \nL 341.773993 157.102824 \nL 348.261621 158.158529 \nL 353.320254 159.202584 \nL 357.900215 160.382466 \nL 361.342591 161.473637 \nL 364.438824 162.665742 \nL 367.184634 163.960664 \nL 369.576965 165.359512 \nL 371.235081 166.553638 \nL 372.66544 167.814228 \nL 373.868191 169.140671 \nL 374.843958 170.531986 \nL 375.59384 171.986808 \nL 376.119422 173.503393 \nL 376.422733 175.079613 \nL 376.506227 176.712953 \nL 376.372789 178.400524 \nL 376.025674 180.139049 \nL 375.46853 181.924891 \nL 374.482848 184.217607 \nL 373.183707 186.569414 \nL 371.580282 188.970931 \nL 369.682371 191.412027 \nL 367.500249 193.881881 \nL 365.044655 196.369027 \nL 361.752545 199.359469 \nL 358.102169 202.3358 \nL 354.113378 205.275551 \nL 349.806128 208.155671 \nL 345.200333 210.952762 \nL 340.31558 213.64332 \nL 335.171065 216.203964 \nL 329.785443 218.611683 \nL 324.176695 220.844094 \nL 318.362113 222.879667 \nL 313.37133 224.410822 \nL 308.258198 225.779917 \nL 303.031446 226.976534 \nL 297.699441 227.991039 \nL 292.27017 228.814675 \nL 286.751295 229.439639 \nL 281.150173 229.859115 \nL 275.473913 230.067367 \nL 269.729364 230.059738 \nL 263.923255 229.832734 \nL 258.062175 229.384013 \nL 252.152673 228.712455 \nL 246.201308 227.818126 \nL 240.214712 226.702304 \nL 234.199665 225.367485 \nL 228.163151 223.817324 \nL 222.112429 222.056666 \nL 216.055089 220.0915 \nL 208.788824 217.473361 \nL 201.539221 214.585156 \nL 194.322004 211.443146 \nL 187.154054 208.065449 \nL 180.053497 204.471937 \nL 173.039755 200.683991 \nL 166.133576 196.724326 \nL 158.241824 191.919558 \nL 150.563832 186.952954 \nL 143.139082 181.865112 \nL 136.009034 176.697337 \nL 129.216799 171.491149 \nL 122.806739 166.287803 \nL 116.823944 161.127798 \nL 111.313699 156.050427 \nL 107.000709 151.79275 \nL 103.095433 147.645989 \nL 99.624508 143.631371 \nL 96.613333 139.768674 \nL 94.472435 136.678985 \nL 92.68012 133.71708 \nL 91.248091 130.891711 \nL 90.368978 128.735025 \nL 89.732007 126.674354 \nL 89.341396 124.712902 \nL 89.200781 122.853481 \nL 89.313163 121.098505 \nL 89.68089 119.449994 \nL 90.305652 117.909583 \nL 91.188422 116.478515 \nL 92.329464 115.157658 \nL 93.728335 113.947502 \nL 95.38385 112.848188 \nL 97.294117 111.859491 \nL 99.456473 110.980867 \nL 101.867567 110.211467 \nL 105.224927 109.401516 \nL 108.954991 108.757534 \nL 113.046567 108.276056 \nL 117.486864 107.953082 \nL 123.255307 107.768414 \nL 129.477803 107.79709 \nL 136.124154 108.030075 \nL 144.370256 108.547472 \nL 153.093207 109.314685 \nL 163.570446 110.477662 \nL 174.501212 111.924468 \nL 185.790015 113.633999 \nL 197.339466 115.586913 \nL 210.522151 118.053662 \nL 222.300955 120.470098 \nL 234.037819 123.084953 \nL 245.640656 125.889283 \nL 257.021483 128.87666 \nL 266.732227 131.637436 \nL 276.157435 134.533512 \nL 285.248937 137.564131 \nL 293.962649 140.729079 \nL 301.100614 143.548849 \nL 307.909402 146.467346 \nL 314.369189 149.484365 \nL 320.462739 152.599338 \nL 325.250288 155.26921 \nL 329.766268 158.005386 \nL 334.004833 160.806504 \nL 337.961449 163.670771 \nL 341.632775 166.595903 \nL 345.016697 169.579092 \nL 348.112254 172.616951 \nL 350.919603 175.705492 \nL 353.440004 178.840097 \nL 355.675717 182.015494 \nL 357.629967 185.22575 \nL 359.306876 188.464261 \nL 360.711423 191.723762 \nL 361.849284 194.996316 \nL 362.726853 198.273366 \nL 363.351129 201.545734 \nL 363.729616 204.803666 \nL 363.870232 208.036868 \nL 363.781273 211.234562 \nL 363.471312 214.385521 \nL 362.94907 217.478155 \nL 362.223395 220.500562 \nL 361.303185 223.440587 \nL 360.197267 226.285933 \nL 358.914373 229.024214 \nL 357.463063 231.643025 \nL 355.851647 234.13007 \nL 354.088158 236.473207 \nL 352.1803 238.660554 \nL 350.135369 240.680567 \nL 347.960275 242.522137 \nL 345.661458 244.17463 \nL 343.24492 245.628045 \nL 340.716148 246.873008 \nL 338.080163 247.90092 \nL 335.341488 248.703944 \nL 332.504151 249.275099 \nL 329.571682 249.60835 \nL 326.547178 249.698601 \nL 323.433303 249.541767 \nL 320.232309 249.134776 \nL 316.946045 248.475628 \nL 313.576054 247.563376 \nL 310.123584 246.39813 \nL 306.589639 244.981083 \nL 302.975054 243.314502 \nL 298.532056 240.989927 \nL 293.974979 238.318421 \nL 289.304896 235.309628 \nL 284.523071 231.975122 \nL 278.805201 227.691126 \nL 272.94085 223.00614 \nL 266.065527 217.195491 \nL 259.014888 210.940389 \nL 250.890004 203.431524 \nL 241.652674 194.587151 \nL 230.339583 183.419377 \nL 217.916921 170.841596 \nL 203.5833 156.012447 \nL 189.557371 141.187978 \nL 177.942782 128.610366 \nL 168.721695 118.328108 \nL 160.978538 109.372383 \nL 154.64516 101.700279 \nL 149.601675 95.234098 \nL 145.69447 89.876819 \nL 142.302297 84.821359 \nL 139.833353 80.742012 \nL 137.792126 76.907608 \nL 136.431725 73.905689 \nL 135.391348 71.084329 \nL 134.679271 68.447273 \nL 134.350564 66.472477 \nL 134.239049 64.61902 \nL 134.34678 62.888013 \nL 134.675112 61.280321 \nL 135.224693 59.796608 \nL 135.995435 58.437296 \nL 136.986529 57.202609 \nL 138.196404 56.092557 \nL 139.622763 55.106981 \nL 141.26257 54.245525 \nL 143.112048 53.507682 \nL 145.16671 52.892788 \nL 148.015595 52.295832 \nL 151.165271 51.887903 \nL 154.602494 51.666892 \nL 158.312507 51.630508 \nL 163.101753 51.827072 \nL 168.23008 52.281471 \nL 173.664673 52.989106 \nL 179.370662 53.945321 \nL 185.311418 55.145532 \nL 191.448958 56.585291 \nL 197.744279 58.260306 \nL 204.157756 60.166584 \nL 210.649518 62.30038 \nL 217.179808 64.658226 \nL 223.709359 67.236942 \nL 230.199739 70.033589 \nL 236.613688 73.045428 \nL 242.915434 76.269835 \nL 249.070974 79.704263 \nL 254.065781 82.724827 \nL 258.919516 85.887822 \nL 263.616053 89.191514 \nL 268.140516 92.633998 \nL 272.479344 96.213124 \nL 276.620325 99.926447 \nL 280.552645 103.771161 \nL 284.266912 107.74407 \nL 287.755162 111.841485 \nL 291.010852 116.059218 \nL 294.028861 120.392499 \nL 296.805493 124.835949 \nL 299.338382 129.383515 \nL 301.626503 134.028447 \nL 303.670092 138.763262 \nL 305.470593 143.579708 \nL 307.030606 148.468764 \nL 308.353752 153.42061 \nL 309.444671 158.424634 \nL 310.30889 163.469433 \nL 310.9527 168.542826 \nL 311.383139 173.631876 \nL 311.607841 178.722923 \nL 311.634943 183.801626 \nL 311.472997 188.853004 \nL 311.041648 194.856657 \nL 310.366646 200.770718 \nL 309.463972 206.566482 \nL 308.349662 212.214618 \nL 307.039581 217.685366 \nL 305.549257 222.948812 \nL 303.893705 227.975143 \nL 302.087279 232.734922 \nL 300.143573 237.199412 \nL 298.075307 241.340827 \nL 295.894258 245.132646 \nL 293.998345 248.007382 \nL 292.037266 250.608478 \nL 290.016191 252.923432 \nL 287.939755 254.940829 \nL 285.812106 256.650419 \nL 284.075581 257.790396 \nL 282.310274 258.723617 \nL 280.517637 259.446667 \nL 278.698949 259.956726 \nL 276.855316 260.251551 \nL 274.987705 260.329532 \nL 273.096892 260.189674 \nL 271.183565 259.831593 \nL 269.248256 259.255557 \nL 267.291417 258.462436 \nL 265.313389 257.453742 \nL 262.811481 255.89296 \nL 260.277316 254.004073 \nL 257.711212 251.793913 \nL 255.113462 249.270658 \nL 252.484366 246.443761 \nL 249.288601 242.665772 \nL 246.049126 238.486445 \nL 242.216213 233.133595 \nL 238.32848 227.304307 \nL 233.823598 220.112622 \nL 229.2611 212.419259 \nL 224.073791 203.250064 \nL 218.267719 192.540994 \nL 211.873216 180.286972 \nL 204.96004 166.558879 \nL 198.208994 152.674544 \nL 191.736647 138.845611 \nL 186.160321 126.383434 \nL 181.481227 115.348909 \nL 177.660161 105.734783 \nL 174.625882 97.48971 \nL 172.28541 90.537059 \nL 170.267015 83.850991 \nL 168.812683 78.346445 \nL 167.628514 73.061756 \nL 166.727901 68.005923 \nL 166.122562 63.186724 \nL 165.850855 59.356271 \nL 165.795742 55.697968 \nL 165.960812 52.214539 \nL 166.348553 48.908232 \nL 166.960277 45.78084 \nL 167.796083 42.833751 \nL 168.854847 40.067976 \nL 170.134148 37.48418 \nL 171.630317 35.082727 \nL 173.33839 32.863686 \nL 175.252132 30.826922 \nL 177.364066 28.972078 \nL 179.665491 27.298657 \nL 182.146547 25.806036 \nL 184.796237 24.493468 \nL 187.602519 23.360189 \nL 190.552362 22.405394 \nL 193.631844 21.628278 \nL 196.826217 21.028061 \nL 200.12002 20.604019 \nL 204.181175 20.326834 \nL 208.333641 20.301482 \nL 212.547952 20.527274 \nL 216.794163 21.003746 \nL 221.042154 21.730682 \nL 225.261923 22.708106 \nL 229.423876 23.936292 \nL 232.827135 25.151662 \nL 236.153945 26.541854 \nL 239.388672 28.107276 \nL 242.516351 29.848352 \nL 245.522793 31.765537 \nL 248.394671 33.85924 \nL 251.119584 36.12979 \nL 253.686152 38.577413 \nL 256.084055 41.202218 \nL 258.304087 44.004103 \nL 260.338205 46.982737 \nL 262.179563 50.13753 \nL 263.82251 53.467579 \nL 265.262615 56.971595 \nL 266.49667 60.647912 \nL 267.52265 64.494402 \nL 268.339716 68.508452 \nL 268.948195 72.686949 \nL 269.349487 77.026165 \nL 269.546067 81.521801 \nL 269.541389 86.168909 \nL 269.339853 90.961872 \nL 268.845585 96.897022 \nL 268.085973 103.020799 \nL 267.072968 109.319396 \nL 265.819728 115.777409 \nL 264.072913 123.490462 \nL 262.042145 131.367514 \nL 259.752117 139.375832 \nL 256.84981 148.643087 \nL 253.679459 157.977531 \nL 250.278053 167.317131 \nL 246.681263 176.595888 \nL 242.443216 186.875257 \nL 238.540195 195.791027 \nL 234.538773 204.421234 \nL 230.464148 212.69099 \nL 226.33841 220.52566 \nL 222.701465 226.966456 \nL 219.050811 232.970552 \nL 215.917779 237.734913 \nL 212.786357 242.118151 \nL 209.660718 246.09512 \nL 207.063003 249.082204 \nL 204.473524 251.758974 \nL 201.893822 254.114512 \nL 199.325268 256.139231 \nL 196.769116 257.824938 \nL 194.73392 258.924838 \nL 192.708006 259.800688 \nL 190.691979 260.450381 \nL 188.686461 260.872455 \nL 186.692113 261.066122 \nL 184.709656 261.031257 \nL 182.739884 260.768391 \nL 180.783665 260.278729 \nL 178.841986 259.564129 \nL 176.915932 258.627115 \nL 175.006732 257.470817 \nL 173.115739 256.098987 \nL 170.779918 254.087824 \nL 168.478242 251.756533 \nL 166.214428 249.116198 \nL 163.992656 246.179144 \nL 161.817558 242.958821 \nL 159.694232 239.469688 \nL 157.222481 234.949631 \nL 154.843901 230.092752 \nL 152.569998 224.928443 \nL 150.413196 219.487131 \nL 148.386773 213.799955 \nL 146.504776 207.898491 \nL 144.781928 201.814439 \nL 143.233442 195.579334 \nL 141.874949 189.22431 \nL 140.722275 182.779837 \nL 139.791273 176.27551 \nL 139.097619 169.739843 \nL 138.656583 163.200108 \nL 138.492639 157.765932 \nL 138.522373 152.361098 \nL 138.753316 146.999011 \nL 139.192413 141.692279 \nL 139.845899 136.452686 \nL 140.719225 131.291195 \nL 141.816972 126.217921 \nL 143.142744 121.242161 \nL 144.699127 116.372393 \nL 146.487583 111.616286 \nL 148.508383 106.980751 \nL 150.76057 102.471941 \nL 153.241908 98.095316 \nL 155.948815 93.85566 \nL 158.876358 89.757153 \nL 162.018249 85.803399 \nL 165.366814 81.997484 \nL 168.912989 78.342029 \nL 172.646367 74.839241 \nL 176.555221 71.491005 \nL 180.626526 68.298872 \nL 184.84603 65.264164 \nL 189.198309 62.388041 \nL 193.666853 59.671475 \nL 199.157832 56.623477 \nL 204.758954 53.808036 \nL 210.436602 51.226597 \nL 216.155825 48.880721 \nL 221.880644 46.772086 \nL 227.574379 44.902582 \nL 233.199995 43.274336 \nL 238.720454 41.889673 \nL 244.099067 40.751205 \nL 249.299855 39.861749 \nL 254.287914 39.224292 \nL 259.029731 38.841973 \nL 263.49355 38.718011 \nL 267.649678 38.855611 \nL 270.858267 39.172343 \nL 273.819693 39.674615 \nL 276.520881 40.364038 \nL 278.950171 41.242038 \nL 280.690972 42.081057 \nL 282.246784 43.042119 \nL 283.613806 44.12564 \nL 284.788906 45.33192 \nL 285.769635 46.661115 \nL 286.554229 48.11326 \nL 287.141605 49.68822 \nL 287.531365 51.385714 \nL 287.723785 53.205261 \nL 287.7198 55.146205 \nL 287.520996 57.207723 \nL 287.001957 59.95257 \nL 286.187676 62.881696 \nL 285.085225 65.992103 \nL 283.702987 69.280306 \nL 281.688603 73.455075 \nL 279.303929 77.871982 \nL 276.081594 83.318802 \nL 272.41948 89.066187 \nL 267.745069 95.978694 \nL 261.934953 104.156461 \nL 254.165553 114.657831 \nL 244.24502 127.654104 \nL 230.473053 145.303329 \nL 211.248756 169.564719 \nL 195.519104 189.091746 \nL 184.28252 202.689638 \nL 175.746622 212.670752 \nL 168.98095 220.262737 \nL 163.142173 226.5096 \nL 157.473217 232.231322 \nL 152.654026 236.770165 \nL 148.628514 240.290519 \nL 144.700004 243.45236 \nL 140.868164 246.241719 \nL 137.74855 248.272987 \nL 134.695676 250.031545 \nL 131.7095 251.512794 \nL 128.790191 252.713279 \nL 125.938129 253.630727 \nL 123.154002 254.264083 \nL 120.438814 254.613505 \nL 117.79395 254.680355 \nL 115.729907 254.532079 \nL 113.713155 254.206456 \nL 111.745027 253.705836 \nL 109.827043 253.033041 \nL 107.502773 251.954948 \nL 105.263487 250.620332 \nL 103.113593 249.037544 \nL 101.058059 247.21588 \nL 99.102351 245.165544 \nL 97.252513 242.897492 \nL 95.515068 240.423421 \nL 93.897056 237.755641 \nL 92.405961 234.906979 \nL 91.049677 231.890716 \nL 89.836483 228.720457 \nL 88.775002 225.410066 \nL 87.874115 221.973534 \nL 87.142922 218.424919 \nL 86.590629 214.778221 \nL 86.226549 211.047325 \nL 86.059941 207.245897 \nL 86.099992 203.387316 \nL 86.355727 199.484581 \nL 86.835847 195.550272 \nL 87.548733 191.596459 \nL 88.502291 187.634686 \nL 89.70388 183.675878 \nL 91.16021 179.730354 \nL 92.877286 175.807758 \nL 94.860287 171.917062 \nL 97.113483 168.066543 \nL 99.640183 164.263784 \nL 102.442618 160.515675 \nL 105.521939 156.828428 \nL 108.878051 153.207593 \nL 112.509654 149.658088 \nL 116.414158 146.184231 \nL 120.587632 142.789779 \nL 125.02479 139.477975 \nL 129.718983 136.2516 \nL 134.662131 133.113018 \nL 139.84479 130.064243 \nL 145.256102 127.106993 \nL 152.034194 123.68119 \nL 159.100214 120.391573 \nL 166.427761 117.240195 \nL 173.987881 114.229045 \nL 181.749163 111.360211 \nL 191.01322 108.196182 \nL 200.448219 105.233225 \nL 209.99388 102.476374 \nL 219.587152 99.931664 \nL 229.162829 97.606193 \nL 238.654212 95.508211 \nL 247.993799 93.647084 \nL 257.11402 92.033241 \nL 265.948019 90.678013 \nL 274.430381 89.593474 \nL 282.497979 88.792189 \nL 289.037254 88.340501 \nL 295.191873 88.114297 \nL 300.928489 88.121345 \nL 306.216447 88.369019 \nL 310.260278 88.764177 \nL 313.958885 89.334759 \nL 317.299597 90.083909 \nL 320.271408 91.014286 \nL 322.376991 91.890506 \nL 324.23668 92.884873 \nL 325.847346 93.997921 \nL 327.206631 95.229901 \nL 328.312982 96.580759 \nL 329.165553 98.050132 \nL 329.764313 99.637329 \nL 330.109948 101.341323 \nL 330.203896 103.160758 \nL 330.048313 105.09391 \nL 329.646053 107.138718 \nL 329.000627 109.292749 \nL 328.116197 111.553235 \nL 326.681884 114.523725 \nL 324.892202 117.648718 \nL 322.758977 120.920483 \nL 320.295212 124.330479 \nL 316.922177 128.59173 \nL 313.119252 133.020991 \nL 308.913782 137.599257 \nL 303.536664 143.101686 \nL 297.69691 148.74486 \nL 291.44172 154.492541 \nL 284.818291 160.306935 \nL 276.857478 166.983594 \nL 268.544139 173.636998 \nL 259.942909 180.207104 \nL 252.228683 185.840561 \nL 244.378923 191.324927 \nL 236.429076 196.621736 \nL 228.411793 201.693927 \nL 220.3569 206.506286 \nL 213.443353 210.399284 \nL 206.537582 214.057819 \nL 199.653731 217.464189 \nL 192.804708 220.602396 \nL 186.002315 223.458302 \nL 179.257376 226.019747 \nL 172.579902 228.276667 \nL 167.073637 229.919041 \nL 161.625867 231.341036 \nL 156.241572 232.540342 \nL 150.925608 233.515815 \nL 145.682795 234.267397 \nL 140.517979 234.796133 \nL 135.436076 235.104191 \nL 130.442159 235.19479 \nL 125.541461 235.072239 \nL 120.739483 234.741852 \nL 116.041939 234.209903 \nL 111.454907 233.48359 \nL 106.984791 232.571007 \nL 102.638336 231.481019 \nL 98.422666 230.22323 \nL 94.345265 228.807902 \nL 90.414028 227.245891 \nL 85.901082 225.193878 \nL 81.62532 222.967381 \nL 77.602271 220.587413 \nL 73.848022 218.075381 \nL 70.379073 215.452897 \nL 67.212294 212.741519 \nL 64.364683 209.962558 \nL 62.247768 207.610183 \nL 60.374063 205.237071 \nL 58.753208 202.854529 \nL 57.394588 200.473398 \nL 56.307264 198.103972 \nL 55.499901 195.75595 \nL 54.980714 193.438361 \nL 54.778031 191.611825 \nL 54.768327 189.814037 \nL 54.954976 188.048606 \nL 55.341042 186.31881 \nL 55.929263 184.627593 \nL 56.722007 182.977565 \nL 57.721345 181.370996 \nL 58.928895 179.809803 \nL 60.345925 178.295574 \nL 61.973281 176.829554 \nL 64.303851 175.066186 \nL 66.963578 173.380626 \nL 69.951276 171.773186 \nL 73.264631 170.243455 \nL 76.900272 168.790343 \nL 81.68204 167.145281 \nL 86.911487 165.603989 \nL 92.576543 164.16138 \nL 99.717039 162.595082 \nL 107.404406 161.144361 \nL 116.820635 159.613165 \nL 126.860622 158.200097 \nL 138.830452 156.72948 \nL 154.304943 155.069766 \nL 173.56113 153.255406 \nL 198.250913 151.179688 \nL 228.15869 148.902804 \nL 256.120857 146.988892 \nL 276.988422 145.762493 \nL 293.889693 144.984111 \nL 307.074652 144.59108 \nL 318.113724 144.481939 \nL 327.186189 144.611799 \nL 334.501971 144.922231 \nL 341.197293 145.433806 \nL 346.417069 146.043963 \nL 351.138449 146.821592 \nL 354.680924 147.602848 \nL 357.858981 148.508984 \nL 360.666489 149.542756 \nL 363.098713 150.706122 \nL 364.772028 151.730897 \nL 366.202007 152.839494 \nL 367.388152 154.031688 \nL 368.330612 155.306863 \nL 369.030063 156.664004 \nL 369.487753 158.101688 \nL 369.705467 159.618084 \nL 369.685532 161.21095 \nL 369.430758 162.877631 \nL 368.944466 164.61507 \nL 368.230407 166.419804 \nL 367.023977 168.764449 \nL 365.477377 171.199834 \nL 363.600575 173.716702 \nL 361.404373 176.304952 \nL 358.900251 178.953692 \nL 355.505896 182.195624 \nL 351.707326 185.486588 \nL 347.527056 188.804104 \nL 342.988128 192.124735 \nL 338.113808 195.424297 \nL 332.927381 198.678107 \nL 327.451934 201.861212 \nL 321.710213 204.948638 \nL 315.724404 207.915658 \nL 309.515998 210.738035 \nL 303.105754 213.392271 \nL 296.513555 215.855849 \nL 289.7584 218.107477 \nL 284.017688 219.80757 \nL 278.186358 221.336056 \nL 272.273992 222.683215 \nL 266.289742 223.840281 \nL 260.242434 224.799509 \nL 254.140547 225.554224 \nL 247.992301 226.098899 \nL 241.80568 226.429178 \nL 235.588501 226.541892 \nL 229.34848 226.435147 \nL 223.093286 226.108271 \nL 216.8306 225.561861 \nL 210.568194 224.797761 \nL 204.313983 223.819067 \nL 198.076092 222.630096 \nL 191.862919 221.236342 \nL 185.68319 219.644455 \nL 179.545998 217.862189 \nL 173.460869 215.898351 \nL 166.241524 213.315904 \nL 159.129726 210.504759 \nL 152.144743 207.485254 \nL 145.306908 204.279229 \nL 138.637673 200.9098 \nL 132.159521 197.401122 \nL 125.895901 193.778158 \nL 119.871195 190.066445 \nL 114.110489 186.291827 \nL 107.757599 181.843155 \nL 102.657468 178.020862 \nL 97.903648 174.216764 \nL 93.522237 170.455371 \nL 89.53889 166.760286 \nL 85.978614 163.15398 \nL 82.865416 159.657606 \nL 80.629047 156.842166 \nL 78.731295 154.12725 \nL 77.183585 151.522508 \nL 75.996362 149.036689 \nL 75.312459 147.138939 \nL 74.869515 145.325866 \nL 74.67125 143.600618 \nL 74.720814 141.965926 \nL 75.020796 140.424111 \nL 75.573173 138.977076 \nL 76.37932 137.626313 \nL 77.439976 136.372907 \nL 78.755226 135.217541 \nL 80.324509 134.160498 \nL 82.1466 133.201686 \nL 84.219617 132.340644 \nL 87.159823 131.400553 \nL 90.481677 130.609603 \nL 94.177219 129.964706 \nL 98.236937 129.462083 \nL 103.57383 129.040493 \nL 109.397692 128.808765 \nL 116.775099 128.76557 \nL 124.739088 128.951305 \nL 134.498415 129.421629 \nL 144.885966 130.141766 \nL 157.221356 131.217615 \nL 171.590383 132.700607 \nL 188.001512 134.629171 \nL 206.358275 137.029247 \nL 224.890284 139.687508 \nL 241.775222 142.320752 \nL 258.332838 145.127456 \nL 272.924571 147.827768 \nL 285.556545 150.384119 \nL 296.304191 152.763594 \nL 306.533723 155.251893 \nL 315.014838 157.525247 \nL 323.021922 159.894608 \nL 330.525018 162.365818 \nL 336.535445 164.569079 \nL 342.142723 166.853839 \nL 347.335344 169.222211 \nL 352.104026 171.675484 \nL 355.749011 173.784996 \nL 359.09192 175.953313 \nL 362.130969 178.179473 \nL 364.865469 180.46189 \nL 367.295716 182.798328 \nL 369.423011 185.185873 \nL 371.249625 187.620916 \nL 372.778657 190.099133 \nL 374.014071 192.615489 \nL 374.960642 195.164225 \nL 375.623838 197.738881 \nL 376.009787 200.332315 \nL 376.125225 202.936711 \nL 375.977369 205.543621 \nL 375.573904 208.144016 \nL 374.922854 210.72831 \nL 374.03259 213.286422 \nL 372.911641 215.807827 \nL 371.568697 218.281636 \nL 370.012542 220.696644 \nL 368.251938 223.04142 \nL 366.295595 225.304358 \nL 364.152128 227.473784 \nL 361.829919 229.538016 \nL 359.33716 231.485476 \nL 356.681757 233.304708 \nL 353.87131 234.984529 \nL 350.91306 236.51409 \nL 347.813868 237.882949 \nL 344.580201 239.081143 \nL 341.218148 240.099292 \nL 337.733355 240.92864 \nL 334.131073 241.561132 \nL 330.416135 241.989499 \nL 326.592957 242.207256 \nL 322.665642 242.208816 \nL 318.637932 241.989491 \nL 314.513239 241.545551 \nL 310.294747 240.874242 \nL 305.985394 239.973836 \nL 301.587943 238.843596 \nL 297.105037 237.483819 \nL 292.53925 235.895817 \nL 286.954549 233.69234 \nL 281.258819 231.169608 \nL 275.456922 228.335597 \nL 269.55419 225.200236 \nL 263.556575 221.775343 \nL 256.448494 217.431893 \nL 249.232838 212.737261 \nL 241.924045 207.7186 \nL 233.478795 201.624333 \nL 224.963324 195.193291 \nL 215.342369 187.619098 \nL 205.732773 179.758788 \nL 196.199797 171.690889 \nL 185.787399 162.580491 \nL 175.673426 153.422992 \nL 165.981159 144.327481 \nL 157.727436 136.282283 \nL 150.021909 128.44742 \nL 143.714867 121.716479 \nL 138.673099 116.045035 \nL 134.125033 110.607318 \nL 130.653399 106.152553 \nL 127.603665 101.904223 \nL 125.000521 97.876201 \nL 123.188725 94.696815 \nL 121.714531 91.685491 \nL 120.588414 88.847907 \nL 119.944213 86.706286 \nL 119.532483 84.681235 \nL 119.356468 82.774642 \nL 119.418748 80.988101 \nL 119.721161 79.322906 \nL 120.264818 77.780072 \nL 121.050089 76.360318 \nL 122.076592 75.064095 \nL 123.343135 73.891593 \nL 124.847803 72.842746 \nL 126.587869 71.917229 \nL 128.55985 71.114546 \nL 130.759514 70.433922 \nL 133.8216 69.753374 \nL 137.220262 69.259876 \nL 140.942468 68.950815 \nL 144.97355 68.8233 \nL 150.195656 68.905407 \nL 155.808479 69.238459 \nL 161.778697 69.816264 \nL 168.07065 70.632512 \nL 175.767569 71.877699 \nL 183.788551 73.428868 \nL 192.068834 75.276523 \nL 200.542278 77.411656 \nL 209.142157 79.825975 \nL 217.801981 82.511942 \nL 226.456283 85.462792 \nL 233.821504 88.198314 \nL 241.097112 91.120545 \nL 248.246023 94.226333 \nL 255.233056 97.512713 \nL 262.025191 100.976805 \nL 268.591773 104.615703 \nL 273.871281 107.779446 \nL 278.959764 111.060534 \nL 283.843766 114.456834 \nL 288.511212 117.965964 \nL 292.951472 121.585222 \nL 297.155356 125.311516 \nL 301.115127 129.141327 \nL 304.82449 133.070647 \nL 308.278588 137.094922 \nL 311.473937 141.209013 \nL 314.408457 145.407153 \nL 317.081364 149.682905 \nL 319.493166 154.02914 \nL 321.645534 158.438009 \nL 323.541299 162.900926 \nL 325.18432 167.408565 \nL 326.579438 171.950863 \nL 327.732382 176.517016 \nL 328.649685 181.095514 \nL 329.338545 185.674162 \nL 329.806752 190.240108 \nL 330.062646 194.779896 \nL 330.114937 199.279516 \nL 329.972662 203.724465 \nL 329.558131 208.965203 \nL 328.892948 214.079273 \nL 327.993361 219.039738 \nL 326.875467 223.819383 \nL 325.555038 228.390958 \nL 324.047284 232.727434 \nL 322.366823 236.802266 \nL 320.527439 240.589644 \nL 318.882537 243.508293 \nL 317.143189 246.196419 \nL 315.315845 248.641071 \nL 313.406402 250.83012 \nL 311.420251 252.752361 \nL 309.362234 254.397591 \nL 307.236651 255.756679 \nL 305.490058 256.632538 \nL 303.704313 257.316631 \nL 301.880885 257.80597 \nL 300.021048 258.098097 \nL 298.12588 258.191095 \nL 296.196264 258.083603 \nL 294.232924 257.774823 \nL 292.23643 257.264524 \nL 290.2072 256.553046 \nL 287.625054 255.382187 \nL 284.992498 253.901395 \nL 282.309623 252.114987 \nL 279.576313 250.028549 \nL 276.79235 247.648912 \nL 273.384322 244.417731 \nL 269.90242 240.791977 \nL 266.346272 236.789773 \nL 262.103495 231.671631 \nL 257.13158 225.273245 \nL 252.031153 218.34316 \nL 246.146253 209.98588 \nL 238.760185 199.090747 \nL 229.802728 185.46563 \nL 217.853888 166.864354 \nL 203.111934 143.487369 \nL 191.640237 124.906378 \nL 183.449802 111.235021 \nL 177.096196 100.186336 \nL 172.394696 91.574488 \nL 168.656889 84.284098 \nL 165.769036 78.210339 \nL 163.272356 72.439383 \nL 161.466427 67.7451 \nL 159.987037 63.29224 \nL 158.84943 59.087752 \nL 158.17205 55.77805 \nL 157.747524 52.647803 \nL 157.581017 49.69941 \nL 157.676392 46.934814 \nL 157.942983 44.856502 \nL 158.379474 42.897379 \nL 158.985923 41.057885 \nL 159.761802 39.338317 \nL 160.705969 37.73881 \nL 161.816686 36.25938 \nL 163.091616 34.899952 \nL 164.52781 33.660318 \nL 166.121711 32.540197 \nL 167.869203 31.539214 \nL 170.262327 30.454846 \nL 172.877614 29.554955 \nL 175.703369 28.838437 \nL 178.726652 28.304131 \nL 181.933391 27.950807 \nL 185.308455 27.777246 \nL 189.558019 27.804549 \nL 193.997404 28.086955 \nL 198.595791 28.622598 \nL 203.321204 29.409775 \nL 208.140839 30.447051 \nL 213.021377 31.733196 \nL 217.929317 33.267215 \nL 222.831302 35.048361 \nL 227.694442 37.076085 \nL 232.486624 39.349989 \nL 236.403473 41.432767 \nL 240.232216 43.686167 \nL 243.956359 46.110065 \nL 247.560273 48.70423 \nL 251.029272 51.468394 \nL 254.349704 54.402111 \nL 257.509013 57.504773 \nL 260.495804 60.775559 \nL 263.299888 64.213357 \nL 265.912328 67.816706 \nL 268.325457 71.583787 \nL 270.53289 75.512352 \nL 272.529542 79.599652 \nL 274.311619 83.842424 \nL 275.876569 88.236815 \nL 277.223107 92.778352 \nL 278.351132 97.461893 \nL 279.261686 102.281591 \nL 279.956925 107.230862 \nL 280.44002 112.302355 \nL 280.715114 117.487928 \nL 280.787224 122.778618 \nL 280.662152 128.164652 \nL 280.26104 134.738734 \nL 279.597887 141.414861 \nL 278.686223 148.171407 \nL 277.540419 154.985087 \nL 276.175468 161.831023 \nL 274.606755 168.682829 \nL 272.539859 176.646895 \nL 270.241543 184.53486 \nL 267.736121 192.298541 \nL 265.047189 199.888222 \nL 262.197258 207.253144 \nL 259.207569 214.342035 \nL 256.097867 221.103676 \nL 252.886276 227.487531 \nL 250.064879 232.62137 \nL 247.190036 237.411632 \nL 244.270127 241.82985 \nL 241.31262 245.84923 \nL 238.824099 248.876094 \nL 236.317456 251.595573 \nL 233.795716 253.995689 \nL 231.261578 256.065774 \nL 229.226964 257.477931 \nL 227.187068 258.668812 \nL 225.142917 259.634955 \nL 223.095455 260.373545 \nL 221.045573 260.8824 \nL 218.994113 261.160033 \nL 216.94189 261.205624 \nL 214.889708 261.019013 \nL 212.838372 260.600757 \nL 210.788708 259.952077 \nL 208.741578 259.074857 \nL 206.697893 257.971645 \nL 204.658636 256.645637 \nL 202.624866 255.100677 \nL 200.092141 252.868378 \nL 197.572306 250.310872 \nL 195.068172 247.439456 \nL 192.58289 244.266666 \nL 190.119983 240.806189 \nL 187.199585 236.294656 \nL 184.324668 231.41729 \nL 181.503733 226.202888 \nL 178.746214 220.681548 \nL 175.623162 213.893613 \nL 172.618662 206.780869 \nL 169.75241 199.394542 \nL 167.045594 191.785892 \nL 164.520691 184.005647 \nL 162.201235 176.103469 \nL 160.111523 168.127459 \nL 158.27624 160.123765 \nL 156.924396 153.274707 \nL 155.792994 146.46362 \nL 154.896953 139.715054 \nL 154.250527 133.051947 \nL 153.86713 126.495573 \nL 153.757449 121.127621 \nL 153.845409 115.85781 \nL 154.136692 110.695721 \nL 154.636197 105.650103 \nL 155.347899 100.728906 \nL 156.274837 95.939292 \nL 157.418992 91.287661 \nL 158.781247 86.779685 \nL 160.361328 82.420331 \nL 162.157755 78.213925 \nL 164.16781 74.16418 \nL 166.387504 70.274224 \nL 168.811573 66.546673 \nL 171.433468 62.983668 \nL 174.245331 59.586936 \nL 177.238069 56.357814 \nL 180.401333 53.297363 \nL 183.723581 50.406323 \nL 187.192128 47.68525 \nL 190.793194 45.134526 \nL 194.511993 42.754399 \nL 198.332808 40.545037 \nL 202.239078 38.506555 \nL 207.014994 36.286093 \nL 211.857931 34.312136 \nL 216.735772 32.585048 \nL 221.61567 31.105369 \nL 226.464357 29.873837 \nL 231.248468 28.89144 \nL 235.934862 28.159416 \nL 240.490953 27.679225 \nL 244.885038 27.452528 \nL 249.086599 27.481192 \nL 252.419835 27.701581 \nL 255.583321 28.101881 \nL 258.562148 28.683305 \nL 261.342477 29.447039 \nL 263.911633 30.394247 \nL 266.258159 31.52599 \nL 267.968216 32.564884 \nL 269.524699 33.722909 \nL 270.923612 35.000421 \nL 272.161546 36.397686 \nL 273.235679 37.914879 \nL 274.143812 39.552048 \nL 274.884329 41.309153 \nL 275.456208 43.186012 \nL 275.859059 45.182308 \nL 276.093062 47.297568 \nL 276.149322 50.107986 \nL 275.945714 53.101729 \nL 275.486286 56.276761 \nL 274.776359 59.630634 \nL 273.822457 63.160376 \nL 272.366523 67.623371 \nL 270.585371 72.327723 \nL 268.49597 77.265373 \nL 265.693615 83.308558 \nL 262.049058 90.567175 \nL 257.981566 98.174164 \nL 252.965452 107.10827 \nL 246.308701 118.495302 \nL 237.872328 132.476566 \nL 226.248032 151.293547 \nL 212.238961 173.556323 \nL 200.434798 191.924435 \nL 191.633995 205.221348 \nL 184.399992 215.736241 \nL 178.647235 223.713837 \nL 173.667126 230.256584 \nL 169.415438 235.510758 \nL 165.263617 240.288061 \nL 161.784436 243.978456 \nL 158.378343 247.275906 \nL 155.044841 250.163974 \nL 152.322026 252.247748 \nL 149.649056 254.030529 \nL 147.025855 255.50673 \nL 144.452498 256.67201 \nL 141.929312 257.523405 \nL 139.947268 257.977414 \nL 137.998155 258.229289 \nL 136.082586 258.279411 \nL 134.201324 258.128728 \nL 132.355307 257.77875 \nL 130.545668 257.231544 \nL 128.773728 256.489716 \nL 127.041002 255.556413 \nL 125.349242 254.435295 \nL 123.295136 252.776152 \nL 121.312367 250.839235 \nL 119.405799 248.634803 \nL 117.580802 246.174114 \nL 115.843283 243.469336 \nL 114.199691 240.533478 \nL 112.656981 237.380261 \nL 110.949345 233.329728 \nL 109.411307 229.012634 \nL 108.057338 224.455524 \nL 106.902576 219.685459 \nL 105.962684 214.729776 \nL 105.25373 209.615805 \nL 104.79195 204.370634 \nL 104.607627 199.918662 \nL 104.615502 195.409131 \nL 104.824644 190.856682 \nL 105.243837 186.275471 \nL 105.881484 181.679113 \nL 106.745524 177.080634 \nL 107.843271 172.492402 \nL 109.181384 167.926109 \nL 110.765751 163.392739 \nL 112.601393 158.90254 \nL 114.6924 154.46502 \nL 117.041796 150.088947 \nL 119.651482 145.782345 \nL 122.5222 141.552517 \nL 125.65341 137.406063 \nL 129.043299 133.348911 \nL 132.688659 129.386345 \nL 136.584909 125.523057 \nL 140.726022 121.763179 \nL 145.104552 118.110347 \nL 149.711578 114.567755 \nL 154.536752 111.138192 \nL 159.568273 107.824115 \nL 164.792947 104.627719 \nL 170.196211 101.550978 \nL 176.893404 98.019376 \nL 183.794985 94.665644 \nL 190.868686 91.492679 \nL 198.080018 88.503391 \nL 205.392502 85.700879 \nL 212.767949 83.088477 \nL 221.399299 80.285803 \nL 229.997613 77.753267 \nL 238.496803 75.498057 \nL 246.830224 73.528117 \nL 254.93148 71.852073 \nL 262.735238 70.479156 \nL 270.178048 69.419068 \nL 276.22417 68.76696 \nL 281.924171 68.358284 \nL 287.244041 68.199216 \nL 292.152328 68.295685 \nL 295.907449 68.575285 \nL 299.341955 69.039139 \nL 302.44257 69.689878 \nL 305.197713 70.529743 \nL 307.146424 71.339068 \nL 308.863532 72.271342 \nL 310.3456 73.327087 \nL 311.589956 74.506596 \nL 312.594717 75.809908 \nL 313.358773 77.236833 \nL 313.881776 78.786898 \nL 314.164127 80.459373 \nL 314.207 82.253236 \nL 314.012286 84.167192 \nL 313.582586 86.199623 \nL 312.921209 88.348652 \nL 311.774755 91.195513 \nL 310.281608 94.216151 \nL 308.452266 97.40488 \nL 306.298567 100.755296 \nL 303.304331 104.979167 \nL 299.88622 109.411992 \nL 295.397818 114.827649 \nL 290.412468 120.48123 \nL 284.165708 127.19742 \nL 277.400955 134.141858 \nL 269.260285 142.166585 \nL 260.654735 150.34554 \nL 250.665805 159.521164 \nL 240.348599 168.684766 \nL 229.818784 177.726444 \nL 220.246244 185.66883 \nL 210.652592 193.344495 \nL 202.154459 199.88144 \nL 193.721094 206.095659 \nL 186.41896 211.23008 \nL 179.207046 216.049744 \nL 172.100247 220.526644 \nL 165.111295 224.635407 \nL 159.222838 227.847122 \nL 153.43492 230.759612 \nL 147.752831 233.362492 \nL 142.181385 235.64728 \nL 136.725075 237.607498 \nL 132.269223 238.989846 \nL 127.898837 240.142293 \nL 123.61648 241.064422 \nL 119.424847 241.756875 \nL 115.326791 242.221268 \nL 111.325411 242.460251 \nL 107.424035 242.47746 \nL 103.626332 242.277451 \nL 99.936308 241.86572 \nL 96.358338 241.248651 \nL 92.897168 240.433424 \nL 89.557958 239.428033 \nL 86.346299 238.241128 \nL 83.268193 236.882049 \nL 80.330059 235.360673 \nL 77.53867 233.687393 \nL 74.901215 231.873009 \nL 72.425241 229.928671 \nL 70.118613 227.865783 \nL 67.989468 225.695917 \nL 66.046169 223.430754 \nL 64.297266 221.081956 \nL 62.751449 218.661138 \nL 61.417479 216.179741 \nL 60.304109 213.649006 \nL 59.420039 211.079861 \nL 58.77383 208.482858 \nL 58.373822 205.868136 \nL 58.22808 203.245324 \nL 58.344321 200.623542 \nL 58.729795 198.011293 \nL 59.391267 195.416465 \nL 60.123348 193.358026 \nL 61.038907 191.318763 \nL 62.445293 188.801354 \nL 64.146736 186.324156 \nL 66.146787 183.891873 \nL 68.44812 181.508501 \nL 71.052511 179.177331 \nL 73.960732 176.900971 \nL 77.172592 174.681365 \nL 80.686824 172.519829 \nL 84.501122 170.417086 \nL 88.612105 168.373304 \nL 93.93049 165.9981 \nL 99.659675 163.7059 \nL 105.787526 161.494515 \nL 112.299539 159.361135 \nL 120.360045 156.966407 \nL 128.890269 154.667737 \nL 139.170046 152.150852 \nL 149.96104 149.743534 \nL 162.632748 147.157301 \nL 177.256319 144.426401 \nL 192.309589 141.840969 \nL 209.175464 139.167706 \nL 227.687393 136.472119 \nL 246.024148 134.041604 \nL 262.416309 132.091314 \nL 276.767029 130.593708 \nL 289.084666 129.50886 \nL 300.70883 128.710587 \nL 310.365536 128.271949 \nL 318.230968 128.11901 \nL 325.502123 128.19954 \nL 331.229279 128.4667 \nL 336.464688 128.926681 \nL 341.187241 129.587884 \nL 344.71774 130.297849 \nL 347.870545 131.15607 \nL 350.638362 132.165292 \nL 352.571514 133.082736 \nL 354.252397 134.09871 \nL 355.679459 135.213473 \nL 356.851842 136.426909 \nL 357.769346 137.738505 \nL 358.432425 139.147364 \nL 358.842147 140.652174 \nL 359.000235 142.251214 \nL 358.909035 143.942348 \nL 358.571433 145.72303 \nL 357.990939 147.590296 \nL 357.171537 149.540777 \nL 355.818277 152.090114 \nL 354.108727 154.755324 \nL 352.053838 157.527254 \nL 349.665481 160.395869 \nL 346.377251 163.950483 \nL 342.650495 167.608411 \nL 338.509736 171.347994 \nL 333.9803 175.146313 \nL 329.088169 178.979403 \nL 323.859567 182.822451 \nL 318.320815 186.650038 \nL 312.497978 190.436361 \nL 306.416732 194.155476 \nL 300.1021 197.781566 \nL 293.578343 201.289148 \nL 286.868814 204.653368 \nL 279.99586 207.850208 \nL 272.980757 210.856742 \nL 265.843691 213.651359 \nL 258.603728 216.213979 \nL 252.504853 218.158998 \nL 246.35693 219.920553 \nL 240.169389 221.490035 \nL 233.951239 222.859906 \nL 227.711123 224.023733 \nL 221.457366 224.976249 \nL 215.198032 225.713383 \nL 208.940988 226.232274 \nL 202.693962 226.531324 \nL 196.464614 226.610194 \nL 190.260588 226.469779 \nL 184.089592 226.11223 \nL 177.959451 225.540951 \nL 171.878167 224.760506 \nL 165.853973 223.776661 \nL 159.895394 222.596285 \nL 154.011271 221.227327 \nL 148.210827 219.678739 \nL 142.503665 217.960417 \nL 135.792366 215.689597 \nL 129.248028 213.209964 \nL 122.889726 210.542998 \nL 116.737406 207.711366 \nL 110.811858 204.738675 \nL 105.134636 201.649225 \nL 99.727927 198.467767 \nL 94.614435 195.219257 \nL 89.817192 191.928573 \nL 85.359412 188.620297 \nL 81.264232 185.31846 \nL 77.554483 182.046312 \nL 74.25249 178.826113 \nL 71.379754 175.678913 \nL 69.328522 173.126233 \nL 67.600781 170.648486 \nL 66.206952 168.255413 \nL 65.156613 165.955892 \nL 64.569523 164.18902 \nL 64.211796 162.490786 \nL 64.086951 160.86444 \nL 64.198044 159.312825 \nL 64.547611 157.838381 \nL 65.137703 156.443132 \nL 65.96982 155.128696 \nL 67.044905 153.896282 \nL 68.363357 152.746696 \nL 69.924998 151.68035 \nL 71.729078 150.697268 \nL 73.774263 149.797104 \nL 76.66683 148.78739 \nL 79.928095 147.903971 \nL 83.551675 147.143932 \nL 88.367172 146.389579 \nL 93.67726 145.800113 \nL 99.463418 145.366854 \nL 106.787445 145.045889 \nL 115.867996 144.901933 \nL 125.646624 144.970464 \nL 137.397466 145.267915 \nL 152.690757 145.894738 \nL 171.822975 146.924893 \nL 196.447603 148.493286 \nL 226.355402 150.626484 \nL 254.388841 152.835725 \nL 275.386846 154.691376 \nL 292.484005 156.417031 \nL 305.915757 157.986021 \nL 317.260138 159.528655 \nL 326.683396 161.025162 \nL 334.376439 162.446171 \nL 341.521978 163.983535 \nL 347.190691 165.402091 \nL 352.423087 166.920138 \nL 357.206937 168.542866 \nL 361.532283 170.274434 \nL 364.780865 171.802724 \nL 367.702425 173.409693 \nL 370.29484 175.095661 \nL 372.557074 176.860217 \nL 374.489201 178.702172 \nL 375.797918 180.230163 \nL 376.897071 181.805044 \nL 377.788107 183.425084 \nL 378.472844 185.088205 \nL 378.953503 186.791982 \nL 379.23263 188.533655 \nL 379.313122 190.310119 \nL 379.198203 192.11794 \nL 378.891372 193.953363 \nL 378.243725 196.280225 \nL 377.310028 198.635219 \nL 376.098704 201.009045 \nL 374.618633 203.391757 \nL 372.879053 205.77283 \nL 370.889456 208.141218 \nL 368.659589 210.485421 \nL 366.199311 212.793568 \nL 362.956776 215.498599 \nL 359.413804 218.112748 \nL 355.587297 220.614375 \nL 351.493829 222.981813 \nL 347.149499 225.193608 \nL 342.569844 227.228766 \nL 338.584478 228.775095 \nL 334.454278 230.173307 \nL 330.187079 231.4126 \nL 325.790415 232.482773 \nL 321.27138 233.374288 \nL 316.636729 234.078362 \nL 311.892866 234.587035 \nL 307.045859 234.893216 \nL 302.101496 234.990746 \nL 297.065261 234.874463 \nL 291.94243 234.540216 \nL 286.738103 233.984916 \nL 281.457243 233.206579 \nL 276.104764 232.204318 \nL 270.68556 230.978365 \nL 265.204574 229.530056 \nL 259.666874 227.861873 \nL 254.077715 225.977361 \nL 247.31056 223.437038 \nL 240.48737 220.60199 \nL 233.619086 217.484344 \nL 226.71762 214.098213 \nL 219.795986 210.459571 \nL 212.86844 206.586131 \nL 204.799708 201.796156 \nL 196.771421 196.745909 \nL 188.813557 191.470646 \nL 180.958906 186.007463 \nL 173.243041 180.394894 \nL 164.644055 173.848371 \nL 156.33747 167.218354 \nL 148.38802 160.564982 \nL 140.863344 153.947797 \nL 134.6824 148.233207 \nL 128.927165 142.628516 \nL 123.644724 137.169743 \nL 119.528276 132.632807 \nL 115.821392 128.248262 \nL 112.551078 124.034867 \nL 109.742778 120.009913 \nL 107.772524 116.811102 \nL 106.151986 113.762294 \nL 104.892399 110.870852 \nL 104.151333 108.675419 \nL 103.652071 106.58783 \nL 103.398375 104.610681 \nL 103.393397 102.746184 \nL 103.639577 100.996217 \nL 104.138638 99.362289 \nL 104.891606 97.845574 \nL 105.898713 96.446902 \nL 107.159474 95.166771 \nL 108.67264 94.005355 \nL 110.436151 92.96253 \nL 112.447247 92.037877 \nL 114.702346 91.230694 \nL 117.197146 90.54003 \nL 120.644944 89.838704 \nL 124.447869 89.314741 \nL 128.592803 88.964846 \nL 133.06498 88.785333 \nL 138.840541 88.789118 \nL 145.033029 89.024971 \nL 151.608998 89.485048 \nL 159.717793 90.294456 \nL 168.239508 91.385233 \nL 177.110928 92.74474 \nL 186.266601 94.36085 \nL 195.639638 96.222176 \nL 205.162493 98.318277 \nL 214.767701 100.639772 \nL 224.388614 103.17841 \nL 233.960102 105.927105 \nL 243.4192 108.879852 \nL 252.705721 112.031653 \nL 260.485039 114.888446 \nL 268.062137 117.886144 \nL 275.405661 121.022717 \nL 282.486717 124.29622 \nL 289.278968 127.704652 \nL 295.758811 131.245817 \nL 300.904907 134.296354 \nL 305.808977 137.435568 \nL 310.461873 140.661426 \nL 314.85582 143.971523 \nL 318.984433 147.363034 \nL 322.842736 150.832667 \nL 326.427069 154.376601 \nL 329.735086 157.990452 \nL 332.765774 161.669228 \nL 335.519257 165.407302 \nL 337.996912 169.198386 \nL 340.2012 173.035502 \nL 342.135599 176.910991 \nL 343.804581 180.81649 \nL 345.213472 184.742957 \nL 346.368393 188.680665 \nL 347.276204 192.619241 \nL 347.944367 196.547685 \nL 348.380885 200.454426 \nL 348.594181 204.327335 \nL 348.593018 208.153811 \nL 348.386434 211.920843 \nL 347.983646 215.615056 \nL 347.393914 219.222788 \nL 346.626517 222.730191 \nL 345.690653 226.123312 \nL 344.595358 229.388155 \nL 343.349481 232.510798 \nL 341.961561 235.477487 \nL 340.439801 238.274715 \nL 338.792034 240.889342 \nL 337.025627 243.308691 \nL 335.147525 245.520594 \nL 333.164175 247.513536 \nL 331.081476 249.276734 \nL 328.904839 250.800203 \nL 326.639096 252.074851 \nL 324.28858 253.092536 \nL 322.349657 253.716835 \nL 320.360599 254.168935 \nL 318.322887 254.446128 \nL 316.237799 254.546191 \nL 314.106424 254.467354 \nL 311.378467 254.115375 \nL 308.581001 253.48055 \nL 305.71504 252.562695 \nL 302.781276 251.362866 \nL 299.7801 249.883278 \nL 296.711683 248.127351 \nL 293.576012 246.09966 \nL 289.724232 243.315764 \nL 285.775068 240.160563 \nL 281.728226 236.647955 \nL 276.883333 232.119389 \nL 271.905826 227.154096 \nL 266.056823 220.984538 \nL 259.277652 213.472979 \nL 251.511181 204.507898 \nL 241.899263 193.040946 \nL 229.527747 177.905656 \nL 211.870902 155.915128 \nL 193.653822 132.886554 \nL 181.925101 117.737287 \nL 173.248422 106.179943 \nL 166.662493 97.038337 \nL 161.903758 90.096116 \nL 157.664363 83.518255 \nL 154.426426 78.083704 \nL 152.030173 73.677323 \nL 150.005943 69.513138 \nL 148.372509 65.599191 \nL 147.321794 62.533752 \nL 146.562098 59.650332 \nL 146.100233 56.951839 \nL 145.948852 54.927809 \nL 145.993627 53.024652 \nL 146.235976 51.243158 \nL 146.676689 49.583932 \nL 147.315859 48.047415 \nL 148.152918 46.633838 \nL 149.186599 45.343309 \nL 150.414967 44.175738 \nL 151.835395 43.13095 \nL 153.44456 42.208588 \nL 155.238487 41.408195 \nL 157.733577 40.578375 \nL 160.49957 39.936933 \nL 163.524492 39.482385 \nL 166.794922 39.213077 \nL 170.296099 39.127243 \nL 174.779491 39.263831 \nL 179.542261 39.658702 \nL 184.552551 40.308619 \nL 189.776758 41.210378 \nL 195.179859 42.360956 \nL 200.725769 43.757474 \nL 206.377688 45.397292 \nL 212.098466 47.278018 \nL 217.850961 49.397496 \nL 223.598389 51.753781 \nL 229.304666 54.345139 \nL 234.934738 57.169977 \nL 240.45489 60.226792 \nL 244.947848 62.950256 \nL 249.324584 65.832837 \nL 253.568532 68.873506 \nL 257.664223 72.071117 \nL 261.597357 75.424326 \nL 265.354872 78.931547 \nL 268.924988 82.590879 \nL 272.297257 86.40008 \nL 275.462598 90.356516 \nL 278.4133 94.457077 \nL 281.143038 98.698132 \nL 283.646843 103.075488 \nL 285.921117 107.584322 \nL 287.963602 112.219165 \nL 289.773315 116.973827 \nL 291.350499 121.84138 \nL 292.696614 126.814129 \nL 293.814212 131.883572 \nL 294.706902 137.04039 \nL 295.379246 142.274438 \nL 295.836687 147.574734 \nL 296.085462 152.929471 \nL 296.132489 158.32602 \nL 295.985315 163.750959 \nL 295.563712 170.278327 \nL 294.888715 176.800207 \nL 293.975603 183.289314 \nL 292.840062 189.717125 \nL 291.497959 196.054038 \nL 289.965121 202.269594 \nL 288.257173 208.332681 \nL 286.389371 214.211785 \nL 284.376436 219.875253 \nL 282.232419 225.291583 \nL 279.970618 230.429681 \nL 277.60347 235.259224 \nL 275.142485 239.7509 \nL 272.598222 243.876767 \nL 270.421316 247.01651 \nL 268.198245 249.869722 \nL 265.933564 252.423252 \nL 263.631353 254.665105 \nL 261.29525 256.584524 \nL 259.404146 257.881544 \nL 257.494893 258.962002 \nL 255.568813 259.822329 \nL 253.627083 260.459612 \nL 251.670764 260.871534 \nL 249.700804 261.056451 \nL 247.718044 261.01336 \nL 245.723249 260.74196 \nL 243.717115 260.242586 \nL 241.700279 259.516231 \nL 239.673346 258.564574 \nL 237.636905 257.389914 \nL 235.591532 255.995197 \nL 233.023157 253.947832 \nL 230.442973 251.570512 \nL 227.852322 248.872881 \nL 225.252711 245.86589 \nL 222.123788 241.866367 \nL 218.987922 237.462111 \nL 215.849218 232.678316 \nL 212.190305 226.653584 \nL 208.543227 220.194364 \nL 204.918714 213.348146 \nL 200.820141 205.112881 \nL 196.788958 196.510583 \nL 192.849843 187.616062 \nL 188.563025 177.352652 \nL 184.471663 166.916093 \nL 181.0375 157.573763 \nL 177.831092 148.238558 \nL 174.889474 138.972333 \nL 172.56244 130.966239 \nL 170.492314 123.092524 \nL 168.70391 115.383824 \nL 167.413373 108.930269 \nL 166.36166 102.636745 \nL 165.562051 96.518595 \nL 165.026654 90.589605 \nL 164.766173 84.862002 \nL 164.765734 80.250656 \nL 164.96688 75.79211 \nL 165.373008 71.491179 \nL 165.986497 67.35203 \nL 166.808674 63.378249 \nL 167.839754 59.572832 \nL 169.078809 55.938304 \nL 170.523723 52.476682 \nL 172.171184 49.189542 \nL 174.016658 46.078081 \nL 176.054408 43.143136 \nL 178.277482 40.385239 \nL 180.677749 37.804664 \nL 183.245914 35.401443 \nL 185.971579 33.175454 \nL 188.843283 31.12642 \nL 191.848567 29.253987 \nL 194.974036 27.557713 \nL 198.205453 26.037158 \nL 201.527817 24.691858 \nL 204.925465 23.521407 \nL 209.079126 22.347145 \nL 213.288896 21.423662 \nL 217.525203 20.750709 \nL 221.758089 20.328237 \nL 225.957503 20.156477 \nL 230.093599 20.235894 \nL 234.137027 20.567203 \nL 237.415125 21.036378 \nL 240.593038 21.681779 \nL 243.655409 22.504112 \nL 246.587611 23.50414 \nL 249.375826 24.682669 \nL 252.007153 26.040479 \nL 254.469671 27.578341 \nL 256.752525 29.296962 \nL 258.845979 31.196931 \nL 260.741472 33.278745 \nL 262.431657 35.542697 \nL 263.631845 37.485093 \nL 264.694171 39.544087 \nL 265.825177 42.281514 \nL 266.734864 45.200263 \nL 267.421705 48.299389 \nL 267.88542 51.577621 \nL 268.126933 55.033242 \nL 268.148369 58.664084 \nL 267.952947 62.467566 \nL 267.544975 66.440567 \nL 266.782356 71.426753 \nL 265.732254 76.644402 \nL 264.407285 82.084946 \nL 262.821565 87.738544 \nL 260.662613 94.588705 \nL 258.195991 101.69353 \nL 255.035771 110.095993 \nL 251.096557 119.863364 \nL 246.810138 129.904937 \nL 241.714308 141.300745 \nL 235.796562 154.006033 \nL 229.080748 167.895972 \nL 222.205095 181.608837 \nL 215.845753 193.829231 \nL 210.071362 204.490628 \nL 204.911739 213.602669 \nL 199.809231 222.153122 \nL 195.334397 229.203362 \nL 191.472511 234.893921 \nL 187.664737 240.094818 \nL 184.446091 244.134037 \nL 181.270402 247.76351 \nL 178.13851 250.963487 \nL 175.562523 253.289432 \nL 173.017703 255.29632 \nL 170.504385 256.976797 \nL 168.022967 258.324902 \nL 166.061144 259.160998 \nL 164.120408 259.779835 \nL 162.201182 260.180385 \nL 160.304001 260.36228 \nL 158.429503 260.325747 \nL 156.578471 260.071656 \nL 154.751819 259.601501 \nL 152.95062 258.917391 \nL 151.176122 258.022041 \nL 149.429729 256.918738 \nL 147.71305 255.611375 \nL 145.611747 253.697003 \nL 143.563634 251.48056 \nL 141.573165 248.97306 \nL 139.645298 246.186657 \nL 137.785493 243.134524 \nL 135.999732 239.830765 \nL 133.963711 235.555145 \nL 132.055753 230.965764 \nL 130.28886 226.090846 \nL 128.676894 220.959493 \nL 127.234458 215.601376 \nL 125.97671 210.046458 \nL 124.919331 204.324691 \nL 124.078229 198.465796 \nL 123.46947 192.498981 \nL 123.108963 186.452724 \nL 123.009486 181.37339 \nL 123.102039 176.273382 \nL 123.395003 171.167453 \nL 123.896337 166.069694 \nL 124.61344 160.993493 \nL 125.553099 155.951498 \nL 126.721286 150.955593 \nL 128.123179 146.016872 \nL 129.763029 141.145637 \nL 131.644075 136.351391 \nL 133.768458 131.642848 \nL 136.137155 127.027953 \nL 138.749918 122.513887 \nL 141.605193 118.107118 \nL 144.700105 113.813417 \nL 148.030378 109.637925 \nL 151.590357 105.585154 \nL 155.372934 101.659092 \nL 159.3696 97.86321 \nL 163.570398 94.200545 \nL 167.963965 90.673729 \nL 172.537568 87.285075 \nL 177.277129 84.036631 \nL 182.167291 80.930208 \nL 187.191473 77.967454 \nL 193.372359 74.603985 \nL 199.688034 71.452197 \nL 206.103928 68.514629 \nL 212.583795 65.793888 \nL 219.090016 63.29273 \nL 225.583913 61.014169 \nL 232.026097 58.961408 \nL 239.423575 56.856607 \nL 246.633491 55.07 \nL 253.593608 53.60811 \nL 259.314603 52.618765 \nL 264.770736 51.877593 \nL 269.926916 51.389184 \nL 274.750082 51.158112 \nL 279.209522 51.188827 \nL 282.627549 51.41745 \nL 285.758764 51.833074 \nL 288.589991 52.437766 \nL 291.109641 53.233344 \nL 292.894308 54.008269 \nL 294.468909 54.906931 \nL 295.829869 55.929812 \nL 296.974368 57.077203 \nL 297.900317 58.349228 \nL 298.606364 59.745804 \nL 299.091891 61.266666 \nL 299.357023 62.911307 \nL 299.402596 64.679037 \nL 299.230159 66.56892 \nL 298.841964 68.579793 \nL 298.057782 71.261369 \nL 296.948133 74.126501 \nL 295.521579 77.171312 \nL 293.788066 80.391345 \nL 291.318519 84.47945 \nL 288.444662 88.802591 \nL 284.612447 94.128337 \nL 280.302544 99.738935 \nL 274.847153 106.471568 \nL 268.114328 114.411032 \nL 260.008024 123.619728 \nL 249.593065 135.091959 \nL 236.774638 148.855979 \nL 222.59373 163.761816 \nL 208.289509 178.485874 \nL 196.012938 190.818156 \nL 185.82598 200.756834 \nL 176.784634 209.271567 \nL 168.858113 216.424713 \nL 161.996654 222.319228 \nL 156.143544 227.081851 \nL 150.436165 231.446859 \nL 144.877996 235.389511 \nL 140.234497 238.41625 \nL 135.703629 241.105007 \nL 131.286385 243.445968 \nL 127.692867 245.125441 \nL 124.179607 246.554599 \nL 120.747348 247.731085 \nL 117.397081 248.653639 \nL 114.130002 249.322059 \nL 110.947622 249.737226 \nL 107.851758 249.901084 \nL 104.844622 249.816619 \nL 101.928832 249.487884 \nL 99.107424 248.919916 \nL 96.383928 248.118726 \nL 93.762339 247.091221 \nL 91.24715 245.84522 \nL 88.843339 244.389316 \nL 86.556381 242.732871 \nL 84.392239 240.88588 \nL 82.357338 238.85897 \nL 80.458571 236.663254 \nL 78.703231 234.310314 \nL 77.099003 231.812045 \nL 75.653909 229.180609 \nL 74.376278 226.428365 \nL 73.274652 223.567749 \nL 72.357772 220.611204 \nL 71.634485 217.571083 \nL 71.113702 214.459597 \nL 70.80427 211.288719 \nL 70.714973 208.070114 \nL 70.854373 204.815076 \nL 71.230809 201.534469 \nL 71.852231 198.238663 \nL 72.726186 194.937494 \nL 73.859712 191.640235 \nL 75.259228 188.355528 \nL 76.930482 185.091387 \nL 78.878474 181.855175 \nL 81.10738 178.653583 \nL 83.620466 175.492632 \nL 86.420057 172.377686 \nL 89.507433 169.313449 \nL 92.882793 166.303995 \nL 96.54524 163.352791 \nL 100.492659 160.462732 \nL 104.721764 157.636181 \nL 109.228041 154.87501 \nL 114.005686 152.180656 \nL 120.087049 149.037083 \nL 126.534394 145.992426 \nL 133.330487 143.047367 \nL 140.455499 140.202219 \nL 147.887062 137.457081 \nL 156.911369 134.380903 \nL 166.275465 131.441206 \nL 175.931656 128.638777 \nL 187.258702 125.606162 \nL 198.817384 122.758992 \nL 210.520098 120.103497 \nL 222.27502 117.648381 \nL 235.443267 115.140093 \nL 248.418782 112.919935 \nL 259.677814 111.20776 \nL 270.576634 109.761538 \nL 281.019673 108.602314 \nL 289.710813 107.840912 \nL 297.923355 107.33158 \nL 305.60178 107.089617 \nL 311.719071 107.10629 \nL 317.376389 107.3392 \nL 322.546865 107.796575 \nL 326.466432 108.354548 \nL 330.019234 109.077296 \nL 333.194818 109.967985 \nL 335.457771 110.803184 \nL 337.469998 111.748483 \nL 339.228551 112.804556 \nL 340.7312 113.97175 \nL 341.976454 115.250075 \nL 342.963573 116.639193 \nL 343.692515 118.138397 \nL 344.163967 119.746595 \nL 344.379314 121.462319 \nL 344.340638 123.283719 \nL 344.050676 125.208546 \nL 343.51279 127.234155 \nL 342.730997 129.357513 \nL 341.709842 131.5752 \nL 340.104673 134.474126 \nL 338.144652 137.506207 \nL 335.84204 140.6623 \nL 333.21005 143.932412 \nL 329.636805 147.991798 \nL 325.635371 152.179707 \nL 321.232693 156.47465 \nL 316.456602 160.853884 \nL 310.450341 166.037702 \nL 304.019759 171.264488 \nL 297.210009 176.493735 \nL 290.065485 181.684198 \nL 282.629303 186.794368 \nL 274.94293 191.782974 \nL 267.045802 196.609446 \nL 260.137353 200.58749 \nL 253.123461 204.393649 \nL 246.024817 208.005224 \nL 238.86078 211.400848 \nL 231.649412 214.56068 \nL 224.40752 217.466613 \nL 217.150753 220.102407 \nL 211.102639 222.082246 \nL 205.062284 223.857527 \nL 199.037235 225.422277 \nL 193.034702 226.771644 \nL 187.061618 227.901959 \nL 181.124718 228.810741 \nL 175.230588 229.496701 \nL 169.38573 229.959742 \nL 163.596644 230.201 \nL 157.86988 230.22279 \nL 152.212096 230.028592 \nL 146.630117 229.623029 \nL 141.130982 229.011837 \nL 135.722005 228.201782 \nL 130.410776 227.200658 \nL 125.205255 226.017207 \nL 120.113728 224.660999 \nL 115.144889 223.142445 \nL 109.356986 221.121574 \nL 103.775224 218.903346 \nL 98.416768 216.509228 \nL 93.299502 213.961562 \nL 88.441988 211.28329 \nL 83.863295 208.49773 \nL 79.582925 205.628335 \nL 75.620665 202.698446 \nL 71.996356 199.731055 \nL 68.729773 196.748582 \nL 65.840399 193.772654 \nL 63.734435 191.312625 \nL 61.914183 188.882795 \nL 60.389813 186.493834 \nL 59.170931 184.15571 \nL 58.266545 181.877615 \nL 57.775063 180.104028 \nL 57.494043 178.378148 \nL 57.427039 176.703515 \nL 57.57721 175.083303 \nL 57.947304 173.520304 \nL 58.539668 172.016933 \nL 59.356216 170.57522 \nL 60.398406 169.196813 \nL 61.667232 167.88298 \nL 63.163179 166.634611 \nL 64.88628 165.452229 \nL 67.358818 164.067261 \nL 70.183461 162.78518 \nL 73.356941 161.604734 \nL 76.874777 160.523908 \nL 81.542598 159.354539 \nL 86.685824 158.318761 \nL 92.289932 157.409498 \nL 99.387915 156.497793 \nL 107.059533 155.733155 \nL 116.485148 155.019892 \nL 127.8594 154.394117 \nL 141.348855 153.878866 \nL 158.536262 153.451161 \nL 182.739239 153.096878 \nL 218.929978 152.820342 \nL 256.555287 152.731113 \nL 280.484293 152.870328 \nL 297.377336 153.167616 \nL 310.565165 153.599197 \nL 321.625873 154.171257 \nL 330.740904 154.854851 \nL 338.117444 155.607746 \nL 344.899907 156.520905 \nL 350.218376 157.441676 \nL 355.062994 158.49807 \nL 359.420294 159.696686 \nL 362.671127 160.808047 \nL 365.570892 162.024199 \nL 368.115815 163.346697 \nL 370.303423 164.776291 \nL 371.795354 165.997038 \nL 373.057721 167.285818 \nL 374.090948 168.641801 \nL 374.895963 170.063772 \nL 375.474174 171.550136 \nL 375.827462 173.098908 \nL 375.958152 174.707711 \nL 375.868982 176.373787 \nL 375.563123 178.093998 \nL 375.044115 179.864821 \nL 374.315892 181.682375 \nL 373.117866 184.013541 \nL 371.608515 186.402042 \nL 369.797502 188.838056 \nL 367.695037 191.311031 \nL 365.311785 193.809744 \nL 362.09688 196.825472 \nL 358.51335 199.839772 \nL 354.5813 202.83031 \nL 350.321034 205.774079 \nL 345.752859 208.647628 \nL 340.896846 211.427275 \nL 335.772763 214.089363 \nL 330.399857 216.61051 \nL 324.796764 218.967842 \nL 318.98141 221.139247 \nL 312.970984 223.103604 \nL 307.825105 224.568005 \nL 302.564174 225.864025 \nL 297.19685 226.981672 \nL 291.731423 227.911821 \nL 286.175811 228.646286 \nL 280.537646 229.177853 \nL 274.824274 229.500354 \nL 269.042793 229.608734 \nL 263.200126 229.499067 \nL 257.303057 229.168597 \nL 251.358307 228.615762 \nL 245.372578 227.840223 \nL 239.352633 226.842835 \nL 233.305347 225.625706 \nL 227.237787 224.192106 \nL 221.15727 222.546511 \nL 215.071423 220.69454 \nL 208.988247 218.642937 \nL 201.703869 215.928563 \nL 194.450998 212.953445 \nL 187.246229 209.734981 \nL 180.107355 206.292356 \nL 173.053428 202.646389 \nL 166.104804 198.819315 \nL 159.28312 194.834593 \nL 151.515594 190.019168 \nL 143.990622 185.062621 \nL 136.748747 180.00603 \nL 129.832269 174.890924 \nL 123.284872 169.758776 \nL 117.151134 164.650521 \nL 111.476036 159.606073 \nL 107.010624 155.362234 \nL 102.942736 151.216661 \nL 99.299273 147.191254 \nL 96.106006 143.306531 \nL 93.806459 140.190471 \nL 91.84963 137.195427 \nL 90.247674 134.330644 \nL 89.011659 131.604486 \nL 88.29297 129.528395 \nL 87.819203 127.549173 \nL 87.594206 125.669795 \nL 87.621202 123.892844 \nL 87.902771 122.220504 \nL 88.440857 120.654559 \nL 89.236677 119.196405 \nL 90.290801 117.847058 \nL 91.603038 116.607142 \nL 93.172522 115.476918 \nL 94.997647 114.456295 \nL 97.076054 113.544836 \nL 99.404701 112.741779 \nL 102.66159 111.888744 \nL 106.29462 111.200683 \nL 110.29321 110.674255 \nL 114.645172 110.30554 \nL 120.31454 110.065013 \nL 126.44645 110.036818 \nL 133.011658 110.211886 \nL 141.176196 110.660275 \nL 149.832887 111.356708 \nL 160.254643 112.436195 \nL 171.152919 113.796159 \nL 182.43347 115.414742 \nL 195.460843 117.519825 \nL 208.711255 119.90152 \nL 222.046842 122.538614 \nL 235.332607 125.414251 \nL 246.994979 128.160498 \nL 258.427935 131.079394 \nL 269.549359 134.167307 \nL 278.964874 137.0065 \nL 288.036203 139.973546 \nL 296.720292 143.06878 \nL 303.826135 145.824293 \nL 310.597213 148.674709 \nL 317.014286 151.620125 \nL 323.060672 154.660257 \nL 328.722282 157.794294 \nL 333.137971 160.476667 \nL 337.273118 163.221925 \nL 341.12364 166.028317 \nL 344.686664 168.893589 \nL 347.960487 171.814945 \nL 350.94457 174.789007 \nL 353.639442 177.81178 \nL 356.046678 180.878633 \nL 358.168878 183.98428 \nL 360.00953 187.122764 \nL 361.573021 190.287465 \nL 362.864519 193.471093 \nL 363.889924 196.665715 \nL 364.655766 199.862758 \nL 365.16915 203.053044 \nL 365.437707 206.22683 \nL 365.469429 209.373854 \nL 365.272622 212.483369 \nL 364.85586 215.544214 \nL 364.227906 218.544867 \nL 363.397553 221.473503 \nL 362.373639 224.318085 \nL 361.164927 227.066444 \nL 359.780051 229.706323 \nL 358.2275 232.225511 \nL 356.515445 234.611872 \nL 354.651803 236.853459 \nL 352.644121 238.93862 \nL 350.499586 240.856029 \nL 348.224943 242.594822 \nL 345.826501 244.144646 \nL 343.310107 245.49574 \nL 340.68114 246.639022 \nL 337.944452 247.566166 \nL 335.104472 248.269617 \nL 332.165101 248.74271 \nL 329.129784 248.979685 \nL 326.001544 248.975741 \nL 322.782961 248.727063 \nL 319.476244 248.230867 \nL 316.08321 247.485428 \nL 312.605424 246.490024 \nL 309.044155 245.245036 \nL 305.400455 243.751909 \nL 301.675226 242.013091 \nL 297.098457 239.607189 \nL 292.406763 236.860507 \nL 287.60154 233.782973 \nL 282.684427 230.386382 \nL 276.809146 226.038607 \nL 270.788657 221.299444 \nL 263.7377 215.438855 \nL 256.516014 209.146771 \nL 248.206487 201.611902 \nL 238.77708 192.758037 \nL 228.223719 182.552892 \nL 215.620495 170.052027 \nL 202.081381 156.314638 \nL 188.838473 142.577457 \nL 177.07918 130.06763 \nL 167.743708 119.829088 \nL 159.903982 110.903683 \nL 153.490562 103.252345 \nL 148.381985 96.800271 \nL 144.422954 91.452556 \nL 141.442042 87.106611 \nL 138.867527 82.992573 \nL 136.721534 79.120872 \nL 135.274907 76.08623 \nL 134.149709 73.230893 \nL 133.354598 70.558847 \nL 132.961054 68.555479 \nL 132.786333 66.673059 \nL 132.832721 64.912791 \nL 133.10179 63.275638 \nL 133.594409 61.762338 \nL 134.310709 60.373391 \nL 135.250104 59.109103 \nL 136.41124 57.969532 \nL 137.79202 56.95457 \nL 139.389616 56.06391 \nL 141.200433 55.297062 \nL 143.220187 54.653413 \nL 146.030977 54.02087 \nL 149.149001 53.577744 \nL 152.56132 53.321934 \nL 156.253427 53.251117 \nL 161.030749 53.406789 \nL 166.157877 53.820637 \nL 171.602253 54.48792 \nL 177.329171 55.403799 \nL 183.302081 56.563492 \nL 189.482997 57.962326 \nL 196.90477 59.890585 \nL 203.401348 61.792505 \nL 209.980229 63.920234 \nL 216.601368 66.270135 \nL 223.225195 68.83889 \nL 229.812961 71.623384 \nL 236.327072 74.62077 \nL 242.731407 77.82831 \nL 248.991613 81.243354 \nL 254.074964 84.245796 \nL 259.018215 87.388852 \nL 263.805027 90.670762 \nL 268.420319 94.089621 \nL 272.850295 97.64327 \nL 277.082528 101.329278 \nL 281.106 105.144871 \nL 284.911097 109.08688 \nL 288.489638 113.151671 \nL 291.834889 117.335107 \nL 294.941534 121.632479 \nL 297.805661 126.03848 \nL 300.424735 130.547134 \nL 302.797543 135.151783 \nL 304.924161 139.845038 \nL 306.805884 144.618756 \nL 308.445153 149.464023 \nL 309.845471 154.371137 \nL 311.011354 159.329608 \nL 311.948201 164.32816 \nL 312.662239 169.354742 \nL 313.160413 174.396553 \nL 313.450311 179.440078 \nL 313.539988 184.471113 \nL 313.437975 189.474828 \nL 313.075026 195.421491 \nL 312.464555 201.279029 \nL 311.622544 207.019013 \nL 310.565069 212.612365 \nL 309.30804 218.029575 \nL 307.867047 223.240985 \nL 306.257174 228.217039 \nL 304.492887 232.928539 \nL 302.587878 237.346965 \nL 300.55497 241.444758 \nL 298.771788 244.595634 \nL 296.914398 247.491115 \nL 294.988635 250.117637 \nL 292.99982 252.462575 \nL 290.952758 254.514356 \nL 288.851741 256.26257 \nL 287.134655 257.436359 \nL 285.387174 258.405864 \nL 283.610825 259.167539 \nL 281.806952 259.718415 \nL 279.976701 260.056116 \nL 278.121061 260.178874 \nL 276.240876 260.085544 \nL 274.336829 259.77556 \nL 272.409491 259.249016 \nL 270.459311 258.506615 \nL 268.486637 257.54967 \nL 265.989565 256.054766 \nL 263.458129 254.232738 \nL 260.892596 252.090042 \nL 258.293173 249.634483 \nL 255.660055 246.875158 \nL 252.456178 243.177566 \nL 249.204758 239.077382 \nL 245.352663 233.814501 \nL 241.439573 228.07181 \nL 236.897388 220.973945 \nL 232.287767 213.367944 \nL 227.034429 204.288178 \nL 221.137078 193.66627 \nL 214.025675 180.365839 \nL 206.366857 165.530736 \nL 198.878066 150.529469 \nL 192.246046 136.764304 \nL 186.520751 124.382886 \nL 181.706184 113.437751 \nL 177.764814 103.915311 \nL 174.626075 95.759497 \nL 172.196922 88.890202 \nL 170.093083 82.29182 \nL 168.568564 76.865496 \nL 167.317449 71.661561 \nL 166.353463 66.68874 \nL 165.688661 61.954578 \nL 165.37063 58.196387 \nL 165.272306 54.611508 \nL 165.397425 51.202557 \nL 165.748604 47.971666 \nL 166.32728 44.920579 \nL 167.13366 42.050591 \nL 168.166685 39.36264 \nL 169.154766 37.343773 \nL 170.284646 35.441962 \nL 171.553995 33.657263 \nL 172.959953 31.989637 \nL 174.90432 30.069521 \nL 177.049103 28.331691 \nL 179.385339 26.775566 \nL 181.902901 25.40044 \nL 184.590538 24.205533 \nL 187.435935 23.190032 \nL 190.4258 22.35308 \nL 193.545943 21.693849 \nL 196.781368 21.211533 \nL 200.793915 20.865249 \nL 204.921591 20.771554 \nL 209.135186 20.9295 \nL 213.404809 21.338417 \nL 217.700182 21.997856 \nL 221.99094 22.907633 \nL 226.246927 24.0678 \nL 230.438494 25.478629 \nL 233.861404 26.846109 \nL 237.203369 28.388313 \nL 240.448863 30.105606 \nL 243.583069 31.998386 \nL 246.591987 34.067018 \nL 249.462504 36.311835 \nL 252.182483 38.733061 \nL 254.740812 41.330803 \nL 257.127487 44.105004 \nL 259.333627 47.055364 \nL 261.351533 50.181377 \nL 263.1747 53.482206 \nL 264.797854 56.956662 \nL 266.21693 60.603176 \nL 267.429078 64.419758 \nL 268.432634 68.403924 \nL 269.227116 72.552669 \nL 269.813175 76.862433 \nL 270.192556 81.329056 \nL 270.368026 85.947748 \nL 270.343318 90.713065 \nL 270.123088 95.61885 \nL 269.608478 101.681477 \nL 268.831109 107.923144 \nL 267.80321 114.328971 \nL 266.538137 120.882468 \nL 264.781544 128.690583 \nL 262.745439 136.643396 \nL 260.454501 144.706371 \nL 257.556383 154.008 \nL 254.395436 163.344426 \nL 251.008134 172.65125 \nL 247.429462 181.860359 \nL 243.692397 190.900562 \nL 239.827438 199.698394 \nL 235.862291 208.178985 \nL 231.821678 216.267086 \nL 228.241323 222.963575 \nL 224.632387 229.253684 \nL 221.005722 235.090361 \nL 217.890082 239.698403 \nL 214.773169 243.914064 \nL 211.659213 247.712848 \nL 209.069122 250.543912 \nL 206.485401 253.058335 \nL 203.909645 255.245774 \nL 201.343286 257.097263 \nL 199.297857 258.331435 \nL 197.259933 259.342545 \nL 195.230148 260.128062 \nL 193.20914 260.686093 \nL 191.197575 261.015418 \nL 189.196148 261.115448 \nL 187.205618 260.986281 \nL 185.226806 260.628691 \nL 183.260619 260.044121 \nL 181.308068 259.234655 \nL 179.370268 258.20304 \nL 177.448472 256.95264 \nL 175.544065 255.487438 \nL 173.19036 253.360913 \nL 170.869585 250.916145 \nL 168.585508 248.164624 \nL 166.342348 245.119049 \nL 164.144756 241.793201 \nL 161.575067 237.453113 \nL 159.088185 232.758024 \nL 156.694849 227.736658 \nL 154.40675 222.418963 \nL 152.236471 216.83583 \nL 150.197453 211.018731 \nL 148.30386 204.999457 \nL 146.570491 198.809806 \nL 145.012649 192.481329 \nL 143.645986 186.045061 \nL 142.486319 179.531298 \nL 141.549461 172.969372 \nL 140.850993 166.387467 \nL 140.406067 159.812458 \nL 140.239449 154.356946 \nL 140.266905 148.937806 \nL 140.495813 143.568149 \nL 140.932949 138.260277 \nL 141.584364 133.025659 \nL 142.455317 127.874941 \nL 143.550146 122.817922 \nL 144.87224 117.863577 \nL 146.423914 113.020068 \nL 148.206377 108.294755 \nL 150.219624 103.694259 \nL 152.462425 99.22444 \nL 154.932247 94.890486 \nL 157.625232 90.696923 \nL 160.536175 86.647676 \nL 163.658501 82.746119 \nL 166.98426 78.995142 \nL 170.504142 75.397148 \nL 174.207495 71.954186 \nL 178.082372 68.66796 \nL 182.115544 65.539879 \nL 186.292586 62.571132 \nL 190.597925 59.762739 \nL 195.014926 57.115588 \nL 200.437863 54.152975 \nL 205.96412 51.425021 \nL 211.560076 48.933077 \nL 217.190854 46.678573 \nL 222.820637 44.663076 \nL 228.412994 42.888389 \nL 233.931226 41.356512 \nL 239.338707 40.069694 \nL 244.599251 39.030443 \nL 249.677465 38.241439 \nL 254.539091 37.705581 \nL 259.151349 37.425864 \nL 263.48327 37.405368 \nL 266.858165 37.588509 \nL 270.002858 37.955521 \nL 272.903156 38.50804 \nL 275.546245 39.247602 \nL 277.920729 40.175584 \nL 279.620216 41.05444 \nL 281.137087 42.055132 \nL 282.467653 43.178067 \nL 283.608891 44.423529 \nL 284.558444 45.79164 \nL 285.314646 47.28241 \nL 285.8765 48.895689 \nL 286.243677 50.631169 \nL 286.416516 52.488362 \nL 286.396015 54.466619 \nL 286.183802 56.565086 \nL 285.652428 59.35559 \nL 284.830774 62.3298 \nL 283.725919 65.484735 \nL 282.346265 68.816883 \nL 280.341516 73.043668 \nL 277.973522 77.511827 \nL 274.779367 83.017502 \nL 271.154507 88.822804 \nL 266.533312 95.800413 \nL 260.795773 104.050143 \nL 253.131766 114.637755 \nL 243.356397 127.733526 \nL 228.986611 146.568089 \nL 209.259509 172.034853 \nL 194.655026 190.575441 \nL 184.426023 203.241315 \nL 176.050555 213.268803 \nL 169.413017 220.890714 \nL 163.685138 227.157342 \nL 158.809766 232.205713 \nL 154.06326 236.814635 \nL 150.097671 240.393246 \nL 146.226827 243.61117 \nL 142.450317 246.453939 \nL 138.767718 248.909149 \nL 135.77038 250.651703 \nL 132.837974 252.11336 \nL 129.970639 253.290668 \nL 127.168764 254.181353 \nL 124.433007 254.78436 \nL 121.764402 255.099889 \nL 119.678764 255.146242 \nL 117.637902 255.010783 \nL 115.642883 254.695322 \nL 113.695017 254.202131 \nL 111.795774 253.53396 \nL 109.492739 252.45766 \nL 107.272163 251.120313 \nL 105.138399 249.530228 \nL 103.096311 247.696694 \nL 101.151331 245.629896 \nL 99.309421 243.340825 \nL 97.577029 240.841228 \nL 95.961152 238.143481 \nL 94.469211 235.260535 \nL 93.10909 232.205771 \nL 91.889025 228.992944 \nL 90.817609 225.636091 \nL 89.903709 222.149374 \nL 89.156439 218.547038 \nL 88.585024 214.843311 \nL 88.198789 211.052297 \nL 88.007046 207.187901 \nL 88.019032 203.263744 \nL 88.243829 199.293093 \nL 88.690219 195.288776 \nL 89.366659 191.26315 \nL 90.281139 187.228012 \nL 91.441134 183.194579 \nL 92.853492 179.173431 \nL 94.524334 175.174502 \nL 96.458955 171.207028 \nL 98.661774 167.279559 \nL 101.136237 163.39994 \nL 103.884731 159.575321 \nL 106.908516 155.812167 \nL 110.207665 152.11627 \nL 113.781027 148.492786 \nL 117.626116 144.946256 \nL 121.739139 141.480655 \nL 126.114947 138.099429 \nL 130.746977 134.805549 \nL 135.627275 131.60156 \nL 140.746486 128.489642 \nL 146.093833 125.471667 \nL 152.794588 121.976379 \nL 159.782721 118.621169 \nL 167.031916 115.408275 \nL 174.513267 112.339856 \nL 182.195408 109.41811 \nL 190.044681 106.645424 \nL 199.365631 103.602638 \nL 208.805482 100.7714 \nL 218.301486 98.157587 \nL 227.788641 95.768109 \nL 237.200349 93.610953 \nL 246.469119 91.695191 \nL 255.527309 90.030931 \nL 264.307888 88.629179 \nL 272.745227 87.501673 \nL 280.775877 86.660655 \nL 287.289651 86.177243 \nL 293.424166 85.921276 \nL 299.145814 85.900398 \nL 304.423636 86.121824 \nL 308.462477 86.496316 \nL 312.159045 87.047287 \nL 315.500443 87.777854 \nL 318.475478 88.69067 \nL 320.585364 89.553575 \nL 322.450729 90.53529 \nL 324.068382 91.636369 \nL 325.435891 92.857084 \nL 326.551543 94.197416 \nL 327.414452 95.657044 \nL 328.024479 97.23532 \nL 328.382228 98.931279 \nL 328.489061 100.74362 \nL 328.34704 102.67068 \nL 327.958955 104.71047 \nL 327.328273 106.860649 \nL 326.459065 109.118511 \nL 325.044381 112.087599 \nL 323.274919 115.213455 \nL 321.162433 118.488537 \nL 318.719861 121.904488 \nL 315.372776 126.17667 \nL 311.59633 130.62133 \nL 307.417867 135.219828 \nL 302.072935 140.752453 \nL 296.266175 146.433452 \nL 290.0449 152.227126 \nL 282.488059 158.938529 \nL 274.521401 165.69071 \nL 266.212543 172.424648 \nL 257.626075 179.080672 \nL 248.822791 185.59925 \nL 240.986542 191.144148 \nL 233.06244 196.500704 \nL 225.082503 201.63212 \nL 217.075884 206.503405 \nL 209.068943 211.081754 \nL 202.223632 214.749906 \nL 195.409017 218.163224 \nL 188.637367 221.30606 \nL 181.919861 224.164638 \nL 175.266738 226.727116 \nL 168.687452 228.983771 \nL 163.267504 230.625149 \nL 157.909824 232.045616 \nL 152.619123 233.243046 \nL 147.400019 234.216411 \nL 142.257089 234.965801 \nL 137.194957 235.492388 \nL 132.218354 235.798419 \nL 127.332137 235.887242 \nL 122.541375 235.763222 \nL 117.851388 235.431739 \nL 113.267759 234.899118 \nL 108.796396 234.172589 \nL 104.443546 233.260238 \nL 100.215815 232.170931 \nL 96.120202 230.914263 \nL 92.164041 229.50047 \nL 88.35507 227.940336 \nL 83.990022 225.890921 \nL 79.863226 223.667292 \nL 75.989946 221.290267 \nL 72.386026 218.781069 \nL 69.067671 216.161092 \nL 66.051465 213.451657 \nL 63.780838 211.140659 \nL 61.741329 208.794103 \nL 59.942535 206.423602 \nL 58.393948 204.040392 \nL 57.104817 201.655247 \nL 56.084063 199.278408 \nL 55.34027 196.919529 \nL 54.881566 194.58762 \nL 54.72499 192.747125 \nL 54.759353 190.933148 \nL 54.987987 189.149303 \nL 55.413944 187.39888 \nL 56.039943 185.684841 \nL 56.868393 184.00982 \nL 57.901324 182.37611 \nL 59.140415 180.785668 \nL 60.586936 179.240119 \nL 62.241764 177.740751 \nL 64.603886 175.932923 \nL 67.292142 174.199929 \nL 70.305452 172.542197 \nL 73.641618 170.959454 \nL 77.297384 169.45075 \nL 82.099943 167.735795 \nL 87.346757 166.121409 \nL 93.025956 164.60281 \nL 100.179285 162.944623 \nL 107.87588 161.399043 \nL 117.298736 159.756516 \nL 127.341725 158.22982 \nL 139.31118 156.62972 \nL 153.340206 154.971141 \nL 171.007949 153.110096 \nL 194.01076 150.933748 \nL 220.697278 148.636606 \nL 248.813156 146.437177 \nL 271.445452 144.882572 \nL 288.627917 143.910753 \nL 302.103768 143.348485 \nL 313.44418 143.080326 \nL 322.812367 143.063673 \nL 330.405681 143.242351 \nL 337.39347 143.619466 \nL 342.873854 144.112816 \nL 347.863199 144.772853 \nL 352.344265 145.607589 \nL 355.679691 146.441539 \nL 358.64515 147.404612 \nL 361.235197 148.49915 \nL 363.034171 149.470481 \nL 364.588857 150.527306 \nL 365.898452 151.669622 \nL 366.962723 152.897037 \nL 367.782029 154.208765 \nL 368.357323 155.603613 \nL 368.690084 157.079982 \nL 368.78234 158.635857 \nL 368.636662 160.268815 \nL 368.256124 161.976019 \nL 367.644268 163.754226 \nL 366.805111 165.599796 \nL 365.443341 167.995307 \nL 363.742924 170.481043 \nL 361.71427 173.04742 \nL 359.368585 175.684023 \nL 356.152042 178.924842 \nL 352.517648 182.229974 \nL 348.487866 185.577476 \nL 344.085843 188.944315 \nL 339.335046 192.306589 \nL 334.259152 195.63975 \nL 328.881733 198.918842 \nL 323.226074 202.118757 \nL 317.315018 205.214475 \nL 311.170816 208.181317 \nL 304.81494 210.995214 \nL 298.26806 213.632935 \nL 291.549964 216.072328 \nL 284.679494 218.292577 \nL 278.850663 219.961412 \nL 272.938387 221.45441 \nL 266.952129 222.762255 \nL 260.900989 223.876611 \nL 254.793714 224.790216 \nL 248.63874 225.496904 \nL 242.444247 225.99168 \nL 236.218204 226.270717 \nL 229.968449 226.331432 \nL 223.702727 226.172505 \nL 217.428764 225.793846 \nL 211.154331 225.196642 \nL 204.887308 224.383308 \nL 198.635747 223.357513 \nL 192.407934 222.124126 \nL 186.212445 220.689194 \nL 180.058195 219.059885 \nL 173.954503 217.244452 \nL 166.71055 214.833366 \nL 159.571185 212.185468 \nL 152.555163 209.320361 \nL 145.682298 206.259209 \nL 138.973488 203.02457 \nL 132.450677 199.640141 \nL 126.136775 196.130517 \nL 120.055634 192.520959 \nL 114.231835 188.837132 \nL 108.690609 185.104866 \nL 103.457611 181.349904 \nL 98.558746 177.597657 \nL 94.019882 173.872966 \nL 89.86664 170.199872 \nL 86.124102 166.601397 \nL 82.816476 163.099346 \nL 80.409092 160.269387 \nL 78.33245 157.531555 \nL 76.598409 154.896004 \nL 75.217856 152.372014 \nL 74.374629 150.438796 \nL 73.768545 148.586192 \nL 73.403661 146.817642 \nL 73.28351 145.13618 \nL 73.41106 143.544427 \nL 73.788744 142.044591 \nL 74.418347 140.63846 \nL 75.301086 139.327414 \nL 76.437488 138.112422 \nL 77.827511 136.994052 \nL 79.470416 135.972481 \nL 81.364871 135.047506 \nL 83.508813 134.218553 \nL 86.535484 133.315968 \nL 89.941149 132.559445 \nL 93.717659 131.945715 \nL 98.72528 131.392104 \nL 104.233484 131.030399 \nL 110.220064 130.851537 \nL 117.775663 130.860666 \nL 125.904717 131.088225 \nL 135.835931 131.59307 \nL 147.733614 132.441012 \nL 161.716687 133.68676 \nL 177.831728 135.370011 \nL 196.024162 137.514685 \nL 214.5594 139.921898 \nL 233.135263 142.547473 \nL 251.458459 145.365609 \nL 267.794431 148.111136 \nL 282.088886 150.746573 \nL 294.381879 153.241546 \nL 304.776443 155.566847 \nL 314.608783 158.003261 \nL 322.709741 160.234183 \nL 330.309481 162.56453 \nL 336.404173 164.645786 \nL 342.096426 166.807999 \nL 347.373989 169.053912 \nL 352.226936 171.385472 \nL 355.941113 173.394618 \nL 359.35181 175.463968 \nL 362.456859 177.592967 \nL 365.255139 179.780443 \nL 367.746556 182.02458 \nL 369.932029 184.322877 \nL 371.813419 186.672135 \nL 373.393515 189.068439 \nL 374.675945 191.507138 \nL 375.490548 193.485039 \nL 376.120119 195.483559 \nL 376.567556 197.49933 \nL 376.875624 200.037702 \nL 376.910855 202.589534 \nL 376.680498 205.14643 \nL 376.192261 207.699391 \nL 375.454207 210.238868 \nL 374.47473 212.754789 \nL 373.262424 215.236655 \nL 371.826029 217.67357 \nL 370.174372 220.054327 \nL 368.31629 222.367463 \nL 366.260566 224.601368 \nL 364.015847 226.744333 \nL 361.590641 228.784633 \nL 358.993216 230.710635 \nL 356.231572 232.510873 \nL 353.313394 234.174083 \nL 350.246038 235.689358 \nL 347.036472 237.046197 \nL 343.6913 238.23457 \nL 340.216696 239.245025 \nL 336.618452 240.068719 \nL 332.901949 240.697534 \nL 329.072166 241.124116 \nL 325.133699 241.341915 \nL 321.09081 241.345243 \nL 316.947398 241.129354 \nL 312.707099 240.690437 \nL 308.373275 240.025669 \nL 303.949066 239.133249 \nL 299.437457 238.012372 \nL 294.841328 236.663279 \nL 290.163529 235.087248 \nL 284.446368 232.899742 \nL 278.620772 230.394666 \nL 272.692154 227.579956 \nL 266.666396 224.465531 \nL 260.55004 221.063167 \nL 254.350444 217.386452 \nL 247.023571 212.770636 \nL 239.610007 207.829077 \nL 232.127334 202.591198 \nL 223.517163 196.282927 \nL 214.878013 189.679371 \nL 205.174241 181.963412 \nL 195.549311 174.019073 \nL 186.076486 165.926578 \nL 176.836996 157.766928 \nL 167.919274 149.620751 \nL 159.417711 141.567196 \nL 151.431085 133.682873 \nL 144.845994 126.875817 \nL 138.819095 120.308648 \nL 134.0586 114.794697 \nL 129.82449 109.526889 \nL 126.646861 105.226941 \nL 123.912858 101.141198 \nL 121.990223 97.90956 \nL 120.404017 94.842643 \nL 119.16519 91.94651 \nL 118.283265 89.226495 \nL 117.840141 87.180388 \nL 117.63398 85.251934 \nL 117.667477 83.442813 \nL 117.942609 81.754409 \nL 118.460633 80.187816 \nL 119.222047 78.743823 \nL 120.226607 77.422946 \nL 121.473267 76.225432 \nL 122.96024 75.151258 \nL 124.684937 74.200141 \nL 126.643996 73.37159 \nL 128.833317 72.664893 \nL 131.886323 71.95143 \nL 135.280372 71.424678 \nL 139.002646 71.082021 \nL 143.038686 70.920513 \nL 148.273455 70.961247 \nL 153.906525 71.252163 \nL 159.904807 71.786934 \nL 166.232825 72.559053 \nL 173.982099 73.751129 \nL 182.066618 75.247128 \nL 190.421628 77.037181 \nL 198.980876 79.111948 \nL 207.677431 81.462804 \nL 216.444481 84.081906 \nL 225.216121 86.962195 \nL 232.68956 89.63413 \nL 240.080016 92.489806 \nL 247.349952 95.526001 \nL 254.463683 98.739721 \nL 261.387628 102.12811 \nL 268.090534 105.68833 \nL 273.486637 108.784314 \nL 278.694024 111.995742 \nL 283.698838 115.320615 \nL 288.488613 118.75669 \nL 293.052285 122.301431 \nL 297.380248 125.951942 \nL 301.464329 129.704916 \nL 305.297823 133.556584 \nL 308.875434 137.502654 \nL 312.193282 141.538267 \nL 315.248862 145.657945 \nL 318.041033 149.855569 \nL 320.569889 154.124332 \nL 322.836774 158.456721 \nL 324.844171 162.8445 \nL 326.595621 167.278696 \nL 328.09568 171.749602 \nL 329.349824 176.246775 \nL 330.36433 180.759067 \nL 331.146187 185.274634 \nL 331.703046 189.780974 \nL 332.043068 194.264973 \nL 332.174868 198.712943 \nL 332.107377 203.110699 \nL 331.849802 207.443611 \nL 331.302953 212.536376 \nL 330.512112 217.487718 \nL 329.493462 222.270824 \nL 328.262922 226.858765 \nL 326.836009 231.224694 \nL 325.227615 235.342144 \nL 323.451917 239.185298 \nL 321.853978 242.160354 \nL 320.156298 244.913744 \nL 318.365591 247.432326 \nL 316.488048 249.703681 \nL 314.529338 251.716297 \nL 312.494585 253.459573 \nL 310.388367 254.92397 \nL 308.654643 255.888967 \nL 306.879579 256.666274 \nL 305.064777 257.252604 \nL 303.211641 257.6452 \nL 301.321362 257.841831 \nL 299.394949 257.84081 \nL 297.433226 257.641 \nL 295.436848 257.241829 \nL 293.406313 256.643271 \nL 290.820652 255.615575 \nL 288.182616 254.279506 \nL 285.492368 252.638643 \nL 282.749878 250.69789 \nL 279.954953 248.463392 \nL 276.531419 245.404693 \nL 273.031394 241.948491 \nL 269.454391 238.111854 \nL 265.183608 233.180455 \nL 260.807953 227.790549 \nL 255.680471 221.115692 \nL 249.755531 213.019124 \nL 242.990171 203.395447 \nL 234.649807 191.143758 \nL 223.250886 173.970696 \nL 208.130907 150.759409 \nL 194.794772 129.919726 \nL 185.544258 115.092133 \nL 178.822119 103.937807 \nL 173.258334 94.271736 \nL 169.256779 86.91143 \nL 165.71228 79.915279 \nL 163.025441 74.113252 \nL 161.055489 69.38989 \nL 159.412108 64.906108 \nL 158.111562 60.669246 \nL 157.299945 57.33171 \nL 156.743276 54.173097 \nL 156.447337 51.195999 \nL 156.416652 48.40254 \nL 156.585262 46.301134 \nL 156.926658 44.319025 \nL 157.441247 42.45671 \nL 158.128812 40.714547 \nL 158.988534 39.092752 \nL 160.018991 37.591398 \nL 161.218127 36.210445 \nL 162.583284 34.949734 \nL 164.111185 33.809009 \nL 165.797962 32.787912 \nL 168.122998 31.67913 \nL 170.679295 30.755639 \nL 173.455537 30.016327 \nL 176.439131 29.460006 \nL 179.616292 29.085414 \nL 182.972119 28.891266 \nL 187.21251 28.89467 \nL 191.658082 29.153924 \nL 196.278094 29.666971 \nL 201.040528 30.431959 \nL 205.912419 31.447237 \nL 210.860161 32.711359 \nL 215.849855 34.223131 \nL 220.847633 35.981622 \nL 225.819987 37.986078 \nL 230.734085 40.235942 \nL 235.558082 42.730783 \nL 239.487152 44.996676 \nL 243.315514 47.432196 \nL 247.027133 50.037094 \nL 250.606916 52.811021 \nL 254.040788 55.753495 \nL 257.315768 58.863861 \nL 260.420037 62.141246 \nL 263.342983 65.584507 \nL 266.075247 69.192164 \nL 268.608738 72.96235 \nL 270.936682 76.892807 \nL 273.053597 80.980771 \nL 274.955292 85.222938 \nL 276.638855 89.615456 \nL 278.102647 94.153822 \nL 279.346237 98.832885 \nL 280.370367 103.64678 \nL 281.176895 108.588904 \nL 281.768725 113.651888 \nL 282.14976 118.827553 \nL 282.324802 124.106923 \nL 282.299471 129.480182 \nL 282.080134 134.936687 \nL 281.570751 141.57815 \nL 280.805305 148.301502 \nL 279.797885 155.083663 \nL 278.563297 161.899943 \nL 277.116839 168.72413 \nL 275.474066 175.528601 \nL 273.33024 183.403624 \nL 270.965068 191.164681 \nL 268.402545 198.762377 \nL 265.665757 206.146164 \nL 262.776594 213.264835 \nL 259.75555 220.067115 \nL 257.075494 225.607343 \nL 254.3234 230.846567 \nL 251.509262 235.754456 \nL 248.64213 240.301924 \nL 245.730125 244.46147 \nL 243.274406 247.61286 \nL 240.796276 250.46329 \nL 238.299061 253.000193 \nL 235.785739 255.212237 \nL 233.258954 257.089452 \nL 231.229433 258.344352 \nL 229.193906 259.375767 \nL 227.153379 260.180642 \nL 225.108786 260.756546 \nL 223.061003 261.101742 \nL 221.010863 261.215178 \nL 218.959176 261.096446 \nL 216.906741 260.745854 \nL 214.854362 260.164355 \nL 212.802865 259.353602 \nL 210.753118 258.315912 \nL 208.706037 257.054238 \nL 206.662614 255.572177 \nL 204.115119 253.416158 \nL 201.577332 250.931951 \nL 199.051848 248.130456 \nL 196.54158 245.023834 \nL 194.04979 241.62545 \nL 191.089199 237.18261 \nL 188.167578 232.367154 \nL 185.292896 227.20749 \nL 182.474051 221.733413 \nL 179.269156 214.990848 \nL 176.170936 207.912707 \nL 173.1983 200.550113 \nL 170.371713 192.954343 \nL 167.713033 185.176279 \nL 165.245304 177.265846 \nL 162.992467 169.271523 \nL 160.979029 161.239929 \nL 159.462518 154.359754 \nL 158.155529 147.511324 \nL 157.073225 140.719622 \nL 156.230257 134.008051 \nL 155.640519 127.398376 \nL 155.316944 120.910655 \nL 155.25912 115.610675 \nL 155.400353 110.417876 \nL 155.74593 105.341149 \nL 156.300284 100.388574 \nL 157.06692 95.567457 \nL 158.048336 90.884318 \nL 159.245987 86.34496 \nL 160.660169 81.954476 \nL 162.290035 77.717306 \nL 164.133494 73.637245 \nL 166.187241 69.717538 \nL 168.446679 65.960891 \nL 170.905947 62.369504 \nL 173.557904 58.945154 \nL 176.394134 55.68926 \nL 179.404997 52.60286 \nL 182.579637 49.686751 \nL 185.906041 46.941471 \nL 189.371098 44.367371 \nL 192.960645 41.964674 \nL 196.659575 39.733496 \nL 200.4519 37.673903 \nL 205.102319 35.428945 \nL 209.832813 33.431247 \nL 214.612022 31.681006 \nL 219.40775 30.17859 \nL 224.18727 28.924529 \nL 228.917642 27.919628 \nL 233.56603 27.164908 \nL 238.100033 26.661624 \nL 242.487992 26.411285 \nL 246.699314 26.41556 \nL 250.704775 26.676292 \nL 253.865457 27.090895 \nL 256.849044 27.686099 \nL 259.641611 28.463049 \nL 262.230358 29.422866 \nL 264.603674 30.566604 \nL 266.751227 31.895194 \nL 268.300606 33.091695 \nL 269.695719 34.407351 \nL 270.933162 35.842428 \nL 272.010117 37.397067 \nL 272.924355 39.071334 \nL 273.674247 40.865181 \nL 274.258758 42.778407 \nL 274.677428 44.810705 \nL 274.930394 46.961602 \nL 275.014696 49.81605 \nL 274.843818 52.853257 \nL 274.421645 56.071223 \nL 273.753328 59.467482 \nL 272.845189 63.039095 \nL 271.449363 67.55164 \nL 269.733614 72.304837 \nL 267.714484 77.290666 \nL 264.999681 83.389179 \nL 261.46164 90.70991 \nL 257.506473 98.37778 \nL 252.62227 107.378801 \nL 246.132445 118.845048 \nL 237.897777 132.915479 \nL 226.537602 151.839452 \nL 213.515259 173.100441 \nL 202.611519 190.524221 \nL 193.945457 203.979112 \nL 186.808356 214.646606 \nL 181.124567 222.760117 \nL 176.198762 229.430566 \nL 171.989646 234.800699 \nL 167.87611 239.696801 \nL 164.426537 243.490496 \nL 161.047212 246.891835 \nL 157.737736 249.883668 \nL 155.03287 252.053226 \nL 152.375982 253.920721 \nL 149.766971 255.4801 \nL 147.205881 256.726599 \nL 144.692986 257.656805 \nL 142.717711 258.171836 \nL 140.774026 258.482708 \nL 138.86248 258.589586 \nL 136.983791 258.493242 \nL 135.138826 258.194988 \nL 133.328653 257.696701 \nL 131.554514 257.000837 \nL 129.817862 256.110376 \nL 128.120347 255.02883 \nL 126.056357 253.414364 \nL 124.060566 251.516604 \nL 122.137667 249.345601 \nL 120.29284 246.912472 \nL 118.531834 244.22926 \nL 116.860908 241.308901 \nL 115.286857 238.165065 \nL 113.536105 234.117727 \nL 111.948715 229.795088 \nL 110.538925 225.223837 \nL 109.321693 220.431234 \nL 108.312556 215.444898 \nL 107.527454 210.292485 \nL 106.982571 205.001487 \nL 106.723728 200.506001 \nL 106.652295 195.948414 \nL 106.777425 191.343659 \nL 107.107986 186.706216 \nL 107.652521 182.050029 \nL 108.419093 177.388453 \nL 109.415239 172.734214 \nL 110.64783 168.09935 \nL 112.122996 163.495198 \nL 113.846033 158.93236 \nL 115.821329 154.420696 \nL 118.052243 149.969313 \nL 120.541039 145.586574 \nL 123.288815 141.280108 \nL 126.295444 137.056828 \nL 129.559506 132.922954 \nL 133.078203 128.884059 \nL 136.847388 124.945089 \nL 140.861463 121.110423 \nL 145.113431 117.383914 \nL 149.594809 113.768952 \nL 154.295667 110.268501 \nL 159.204652 106.885175 \nL 164.308991 103.621287 \nL 169.594523 100.478916 \nL 175.045762 97.459951 \nL 181.782285 94.00257 \nL 188.701951 90.728364 \nL 195.771206 87.640254 \nL 202.954416 84.741253 \nL 210.214129 82.034541 \nL 217.511364 79.523588 \nL 226.018543 76.846652 \nL 234.456718 74.448039 \nL 242.759675 72.335128 \nL 250.8611 70.51603 \nL 258.69538 68.999468 \nL 266.198448 67.794699 \nL 272.319169 67.017442 \nL 278.114111 66.482364 \nL 283.548271 66.195541 \nL 288.589077 66.162867 \nL 292.467632 66.333789 \nL 296.036517 66.688084 \nL 299.281594 67.228475 \nL 302.190349 67.957369 \nL 304.267895 68.677573 \nL 306.118567 69.52055 \nL 307.738419 70.486959 \nL 309.124246 71.577229 \nL 310.273638 72.791577 \nL 311.184927 74.129979 \nL 311.857234 75.592176 \nL 312.290464 77.177629 \nL 312.485241 78.885541 \nL 312.44295 80.714834 \nL 312.165693 82.66417 \nL 311.656294 84.731881 \nL 310.918241 86.916037 \nL 309.680471 89.806558 \nL 308.101357 92.870524 \nL 306.191713 96.102216 \nL 303.480975 100.192558 \nL 300.334819 104.502737 \nL 296.778333 109.018939 \nL 292.146356 114.527967 \nL 287.037256 120.270554 \nL 280.673811 127.082982 \nL 272.931093 135.010374 \nL 264.667698 143.149827 \nL 254.996178 152.353178 \nL 244.934776 161.622974 \nL 234.605049 170.851247 \nL 224.117548 179.928605 \nL 213.570428 188.745989 \nL 204.09762 196.370953 \nL 195.737749 202.838371 \nL 187.467852 208.961268 \nL 180.326676 213.998955 \nL 173.290145 218.707259 \nL 166.371125 223.059263 \nL 160.542359 226.48756 \nL 154.813813 229.622821 \nL 149.190626 232.453354 \nL 143.677369 234.969296 \nL 138.278217 237.162737 \nL 133.868954 238.739939 \nL 129.543909 240.086758 \nL 125.305355 241.201873 \nL 121.155653 242.085012 \nL 117.0973 242.736922 \nL 113.13301 243.159345 \nL 109.265713 243.355053 \nL 105.498642 243.327767 \nL 101.835381 243.082185 \nL 98.279831 242.623884 \nL 94.836293 241.959324 \nL 91.509471 241.095792 \nL 88.304491 240.041342 \nL 85.226893 238.804696 \nL 82.28267 237.395253 \nL 79.478185 235.822966 \nL 76.820235 234.098235 \nL 74.315975 232.231911 \nL 71.972953 230.235176 \nL 69.79898 228.119434 \nL 67.802228 225.896283 \nL 65.990992 223.577378 \nL 64.373847 221.174394 \nL 62.959438 218.698912 \nL 61.756486 216.162371 \nL 60.773701 213.575968 \nL 60.019739 210.950591 \nL 59.503079 208.296766 \nL 59.232016 205.624583 \nL 59.214523 202.943634 \nL 59.458229 200.262996 \nL 59.970303 197.591128 \nL 60.757402 194.935888 \nL 61.825594 192.30446 \nL 63.180292 189.703368 \nL 64.826157 187.13844 \nL 66.767067 184.614793 \nL 69.006089 182.136849 \nL 71.545346 179.708329 \nL 74.386034 177.33227 \nL 77.528343 175.011051 \nL 80.971427 172.746413 \nL 84.713404 170.539502 \nL 88.751293 168.390904 \nL 93.981544 165.889629 \nL 99.622753 163.471672 \nL 105.663453 161.135486 \nL 112.089784 158.878866 \nL 120.052949 156.343079 \nL 128.489437 153.90706 \nL 137.365645 151.565727 \nL 148.000031 148.99952 \nL 159.097624 146.543932 \nL 172.051259 143.907319 \nL 186.902779 141.129546 \nL 202.086813 138.512206 \nL 218.976225 135.828285 \nL 235.838298 133.370644 \nL 252.435986 131.173779 \nL 267.093706 129.441461 \nL 281.156325 128.004325 \nL 293.160191 127.002021 \nL 303.209506 126.373216 \nL 312.591028 126.018427 \nL 320.193537 125.953132 \nL 327.182383 126.13406 \nL 332.653275 126.49686 \nL 337.620433 127.060727 \nL 341.360476 127.689822 \nL 344.726947 128.467752 \nL 347.711527 129.397654 \nL 349.819637 130.252622 \nL 351.676271 131.207247 \nL 353.279389 132.262038 \nL 354.627618 133.417133 \nL 355.720281 134.6723 \nL 356.557324 136.026914 \nL 357.139372 137.479948 \nL 357.467714 139.029974 \nL 357.544243 140.675154 \nL 357.371473 142.413232 \nL 356.952523 144.241543 \nL 356.291072 146.157009 \nL 355.391305 148.156148 \nL 353.938716 150.766785 \nL 352.131413 153.49363 \nL 349.980684 156.32733 \nL 347.498749 159.257664 \nL 344.101635 162.886024 \nL 340.270245 166.617091 \nL 336.029502 170.428951 \nL 331.405199 174.298462 \nL 326.423676 178.201463 \nL 321.111496 182.112981 \nL 315.495221 186.007459 \nL 309.601162 189.858997 \nL 303.455126 193.641583 \nL 297.0823 197.329342 \nL 290.507013 200.896792 \nL 283.752656 204.319079 \nL 276.841586 207.572221 \nL 269.795053 210.63334 \nL 262.633183 213.480911 \nL 255.374977 216.094936 \nL 249.265849 218.081689 \nL 243.112106 219.884036 \nL 236.923106 221.493451 \nL 230.707789 222.90247 \nL 224.474726 224.10474 \nL 218.232165 225.095077 \nL 211.988093 225.869487 \nL 205.750298 226.425194 \nL 199.526429 226.760678 \nL 193.324067 226.875666 \nL 187.15078 226.771138 \nL 181.014193 226.449317 \nL 174.922057 225.913666 \nL 168.882288 225.168821 \nL 162.903043 224.220588 \nL 156.992759 223.075899 \nL 151.160198 221.742736 \nL 145.414481 220.230084 \nL 139.765133 218.54786 \nL 133.127132 216.320575 \nL 126.660211 213.884739 \nL 120.383226 211.261811 \nL 114.3159 208.474412 \nL 108.478804 205.546095 \nL 102.893194 202.501085 \nL 97.581014 199.364018 \nL 92.564641 196.15972 \nL 87.866779 192.912929 \nL 83.510304 189.648057 \nL 79.517961 186.388946 \nL 75.912202 183.158647 \nL 72.714928 179.979197 \nL 69.947238 176.871407 \nL 67.983475 174.350378 \nL 66.342874 171.903036 \nL 65.035616 169.538976 \nL 64.071032 167.266922 \nL 63.551771 165.52081 \nL 63.261059 163.842169 \nL 63.202278 162.234174 \nL 63.378388 160.699592 \nL 63.791799 159.240785 \nL 64.444446 157.859707 \nL 65.337733 156.557902 \nL 66.472528 155.336511 \nL 67.849138 154.196275 \nL 69.467277 153.137542 \nL 71.326152 152.160278 \nL 73.986079 151.052618 \nL 77.015921 150.070035 \nL 80.410318 149.21015 \nL 84.162559 148.469821 \nL 89.126144 147.733798 \nL 94.576942 147.156582 \nL 101.526594 146.671934 \nL 109.079371 146.375588 \nL 118.400309 146.245735 \nL 129.689286 146.334241 \nL 143.114099 146.679119 \nL 160.24986 147.366341 \nL 181.317764 148.444772 \nL 209.424625 150.114469 \nL 240.915989 152.197241 \nL 266.967245 154.128825 \nL 285.944297 155.745047 \nL 301.105001 157.251406 \nL 312.768438 158.610438 \nL 322.500864 159.936883 \nL 331.578518 161.394545 \nL 338.945915 162.79227 \nL 345.745967 164.316412 \nL 351.104169 165.731494 \nL 356.01408 167.253029 \nL 360.464746 168.885794 \nL 363.816514 170.334044 \nL 366.839527 171.863473 \nL 369.531112 173.474797 \nL 371.889735 175.168002 \nL 373.914954 176.942307 \nL 375.295464 178.419106 \nL 376.463788 179.945614 \nL 377.421152 181.520299 \nL 378.169194 183.141273 \nL 378.709923 184.806305 \nL 379.045749 186.512811 \nL 379.179409 188.257865 \nL 379.11399 190.038192 \nL 378.852896 191.850193 \nL 378.399773 193.689937 \nL 377.56942 196.022145 \nL 376.453461 198.382116 \nL 375.060647 200.760233 \nL 373.400132 203.146233 \nL 371.481398 205.529298 \nL 369.314233 207.89811 \nL 366.908582 210.240905 \nL 363.721202 213.000849 \nL 360.222329 215.684446 \nL 356.429351 218.269915 \nL 352.359328 220.735344 \nL 348.028982 223.058902 \nL 343.454506 225.219101 \nL 338.651472 227.194972 \nL 334.485111 228.686131 \nL 330.178601 230.024101 \nL 325.739794 231.198272 \nL 321.176185 232.19869 \nL 316.494866 233.016108 \nL 311.702602 233.642101 \nL 306.805799 234.069106 \nL 301.810562 234.290433 \nL 296.722692 234.300411 \nL 291.547776 234.094359 \nL 286.29119 233.66869 \nL 280.958181 233.020865 \nL 275.553887 232.149481 \nL 270.083429 231.054263 \nL 264.551954 229.736041 \nL 258.964709 228.196793 \nL 253.327096 226.439638 \nL 247.644755 224.468777 \nL 240.775286 221.829155 \nL 233.860915 218.900565 \nL 226.913486 215.69618 \nL 219.945885 212.231133 \nL 212.972172 208.522388 \nL 206.007692 204.588561 \nL 197.916525 199.741569 \nL 189.889796 194.649949 \nL 181.959317 189.350044 \nL 174.159657 183.879884 \nL 166.528098 178.278747 \nL 158.063319 171.768546 \nL 149.93323 165.200133 \nL 142.204095 158.633808 \nL 135.823949 152.936669 \nL 129.850202 147.325249 \nL 124.329905 141.836792 \nL 119.309621 136.506756 \nL 115.438888 132.089579 \nL 111.996312 127.832899 \nL 109.007916 123.754849 \nL 106.882101 120.504938 \nL 105.101541 117.399342 \nL 103.678052 114.445947 \nL 102.803495 112.197586 \nL 102.168998 110.054355 \nL 101.778714 108.019101 \nL 101.636186 106.094304 \nL 101.744255 104.282083 \nL 102.10509 102.584194 \nL 102.720128 101.002036 \nL 103.590098 99.536656 \nL 104.714989 98.188762 \nL 106.093987 96.958729 \nL 107.72554 95.846618 \nL 109.607342 94.852168 \nL 111.736285 93.97484 \nL 114.108555 93.213811 \nL 117.409015 92.424414 \nL 121.071906 91.812425 \nL 125.084966 91.374707 \nL 129.43427 91.107691 \nL 135.075373 91.006989 \nL 141.148793 91.138949 \nL 147.622236 91.495697 \nL 155.633685 92.185099 \nL 164.083391 93.156156 \nL 172.909266 94.395806 \nL 182.04673 95.891419 \nL 191.429456 97.63103 \nL 200.990173 99.603576 \nL 210.661383 101.799067 \nL 220.376113 104.208634 \nL 230.068616 106.824643 \nL 239.675029 109.640611 \nL 249.133985 112.651179 \nL 258.387198 115.851929 \nL 266.113173 118.74401 \nL 273.615598 121.771167 \nL 280.864698 124.931589 \nL 287.833208 128.2235 \nL 294.496507 131.645006 \nL 299.800221 134.593711 \nL 304.865544 137.629453 \nL 309.682648 140.750496 \nL 314.243118 143.95478 \nL 318.539904 147.239861 \nL 322.567308 150.602851 \nL 326.321028 154.040377 \nL 329.798064 157.548524 \nL 332.996701 161.122796 \nL 335.916464 164.758084 \nL 338.558084 168.448631 \nL 340.923441 172.188016 \nL 343.015441 175.969135 \nL 344.838008 179.784191 \nL 346.396002 183.624701 \nL 347.695101 187.481502 \nL 348.741741 191.344771 \nL 349.543046 195.20405 \nL 350.10667 199.048266 \nL 350.440773 202.865802 \nL 350.553927 206.644526 \nL 350.45499 210.37184 \nL 350.153042 214.034766 \nL 349.657278 217.62001 \nL 348.976949 221.114024 \nL 348.12127 224.503098 \nL 347.099364 227.773465 \nL 345.920142 230.911341 \nL 344.592282 233.903058 \nL 343.124156 236.735151 \nL 341.523807 239.394463 \nL 339.798814 241.868194 \nL 337.956375 244.14404 \nL 336.003182 246.210299 \nL 333.945461 248.055878 \nL 331.788876 249.670485 \nL 329.538555 251.044615 \nL 327.199127 252.169667 \nL 324.774682 253.038046 \nL 322.268763 253.643129 \nL 320.207405 253.933878 \nL 318.097181 254.050252 \nL 315.392395 253.947741 \nL 312.614863 253.567372 \nL 309.765952 252.907801 \nL 306.846706 251.968845 \nL 303.857819 250.751541 \nL 300.799733 249.258082 \nL 297.672619 247.491845 \nL 294.47653 245.457314 \nL 290.550029 242.669699 \nL 286.523824 239.515528 \nL 282.39771 236.008498 \nL 277.457696 231.491885 \nL 272.382468 226.544034 \nL 266.418958 220.400619 \nL 259.50794 212.925582 \nL 251.592154 204.008785 \nL 241.798878 192.608723 \nL 229.200952 177.567692 \nL 212.093577 156.770693 \nL 194.373846 134.906149 \nL 182.368254 119.786366 \nL 173.452638 108.226955 \nL 166.657446 99.068435 \nL 161.144575 91.258021 \nL 156.79776 84.698253 \nL 153.47004 79.277715 \nL 151.000492 74.882308 \nL 148.9068 70.728374 \nL 147.208185 66.824182 \nL 146.106718 63.766653 \nL 145.299773 60.891062 \nL 144.794396 58.200404 \nL 144.611045 56.182716 \nL 144.626494 54.286018 \nL 144.842279 52.51114 \nL 145.259273 50.858721 \nL 145.877678 49.329235 \nL 146.697 47.922946 \nL 147.716068 46.639956 \nL 148.933004 45.480221 \nL 150.345251 44.443543 \nL 151.949548 43.529573 \nL 153.741953 42.737855 \nL 156.239923 41.91925 \nL 159.014156 41.28943 \nL 162.052713 40.84686 \nL 165.34218 40.58983 \nL 168.86779 40.516522 \nL 173.387578 40.668359 \nL 178.19436 41.078588 \nL 183.256138 41.743812 \nL 188.539112 42.660662 \nL 194.008035 43.825926 \nL 199.626546 45.236548 \nL 205.357543 46.889689 \nL 211.16353 48.782784 \nL 217.006993 50.913476 \nL 222.850747 53.279656 \nL 228.658279 55.879441 \nL 234.394091 58.711052 \nL 240.023996 61.772848 \nL 244.611132 64.498984 \nL 249.084218 67.382819 \nL 253.426398 70.42328 \nL 257.621908 73.619148 \nL 261.656159 76.969037 \nL 265.515798 80.47131 \nL 269.188752 84.124034 \nL 272.664296 87.924947 \nL 275.933056 91.871388 \nL 278.987045 95.960232 \nL 281.819674 100.187843 \nL 284.425714 104.550016 \nL 286.801329 109.041941 \nL 288.944014 113.658147 \nL 290.852564 118.392459 \nL 292.52702 123.237967 \nL 293.968637 128.186995 \nL 295.179797 133.231055 \nL 296.16393 138.36086 \nL 296.92546 143.566289 \nL 297.469698 148.836391 \nL 297.802765 154.159392 \nL 297.931494 159.522702 \nL 297.863338 164.912937 \nL 297.532924 171.396792 \nL 296.945094 177.873194 \nL 296.11508 184.314951 \nL 295.058551 190.693638 \nL 293.791375 196.979766 \nL 292.329432 203.142999 \nL 290.688408 209.152362 \nL 288.883632 214.976479 \nL 286.929915 220.583856 \nL 284.84144 225.943152 \nL 282.631613 231.023473 \nL 280.312992 235.794675 \nL 277.897221 240.227654 \nL 275.39497 244.294674 \nL 273.250726 247.385449 \nL 271.05825 250.189866 \nL 268.82214 252.694933 \nL 266.546535 254.888773 \nL 264.235113 256.760783 \nL 262.362401 258.020389 \nL 260.470343 259.063974 \nL 258.560272 259.888025 \nL 256.633372 260.489687 \nL 254.690694 260.866711 \nL 252.733183 261.017527 \nL 250.761666 260.941181 \nL 248.776892 260.637423 \nL 246.779534 260.106629 \nL 244.7702 259.34985 \nL 242.749461 258.368807 \nL 240.717861 257.16584 \nL 238.163894 255.354636 \nL 235.594847 253.208503 \nL 233.011843 250.736051 \nL 230.416121 247.947215 \nL 227.809087 244.853203 \nL 224.668004 240.755128 \nL 221.516255 236.259011 \nL 218.357758 231.390328 \nL 214.670566 225.275636 \nL 210.989348 218.736405 \nL 206.803044 210.804208 \nL 202.656698 202.452764 \nL 198.571906 193.756342 \nL 194.081057 183.653062 \nL 189.739504 173.311569 \nL 185.59176 162.833016 \nL 181.68632 152.313991 \nL 178.459897 143.003355 \nL 175.503283 133.792029 \nL 173.167605 125.856852 \nL 171.093214 118.073577 \nL 169.305016 110.473063 \nL 168.01819 104.125061 \nL 166.973363 97.947787 \nL 166.183658 91.955546 \nL 165.660967 86.161114 \nL 165.436931 81.491701 \nL 165.410754 76.973279 \nL 165.586711 72.610944 \nL 165.968142 68.409154 \nL 166.557372 64.37176 \nL 167.35565 60.502051 \nL 168.363127 56.802749 \nL 169.578784 53.276128 \nL 171.000423 49.923957 \nL 172.62464 46.747622 \nL 174.446826 43.748119 \nL 176.461141 40.926112 \nL 178.660556 38.281982 \nL 181.036861 35.815856 \nL 183.580693 33.527673 \nL 186.28159 31.417195 \nL 189.128039 29.484071 \nL 192.10754 27.727862 \nL 195.206676 26.148079 \nL 198.411197 24.744198 \nL 201.706105 23.515737 \nL 205.075756 22.462249 \nL 209.19516 21.428477 \nL 213.370044 20.645608 \nL 217.570968 20.113344 \nL 221.76814 19.831634 \nL 225.931712 19.800679 \nL 230.03207 20.020927 \nL 234.040126 20.493074 \nL 237.289236 21.079603 \nL 240.438797 21.842308 \nL 243.473649 22.781895 \nL 246.379344 23.899103 \nL 249.142283 25.194687 \nL 251.749758 26.669385 \nL 254.19006 28.323929 \nL 256.452537 30.158966 \nL 258.527657 32.175019 \nL 260.407052 34.372511 \nL 262.083559 36.751641 \nL 263.551263 39.312426 \nL 264.805491 42.054626 \nL 265.842824 44.9777 \nL 266.661126 48.080794 \nL 267.259474 51.362687 \nL 267.638167 54.821736 \nL 267.798696 58.455907 \nL 267.743668 62.26266 \nL 267.47677 66.238989 \nL 267.002718 70.381326 \nL 266.168444 75.565429 \nL 265.055471 80.974429 \nL 263.676811 86.59884 \nL 261.75184 93.418403 \nL 259.509695 100.496859 \nL 256.592841 108.875017 \nL 253.337529 117.525009 \nL 249.323311 127.528856 \nL 244.496427 138.904244 \nL 238.83368 151.615342 \nL 232.898427 164.388845 \nL 226.782106 177.062048 \nL 220.564818 189.461322 \nL 214.882212 200.343123 \nL 209.213597 210.709416 \nL 204.151095 219.4833 \nL 199.697933 226.756826 \nL 195.845695 232.660319 \nL 192.039957 238.088984 \nL 188.817674 242.333924 \nL 185.633893 246.177542 \nL 182.489846 249.598754 \nL 179.900842 252.113476 \nL 177.340529 254.31223 \nL 174.809325 256.186789 \nL 172.307666 257.730254 \nL 170.327952 258.722936 \nL 168.367799 259.498093 \nL 166.427586 260.054231 \nL 164.50779 260.390471 \nL 162.60898 260.506588 \nL 160.731851 260.402973 \nL 158.877209 260.080646 \nL 157.046012 259.541259 \nL 155.239369 258.787096 \nL 153.458571 257.821028 \nL 151.705049 256.646525 \nL 149.980452 255.267639 \nL 147.868162 253.263681 \nL 145.80793 250.957718 \nL 143.804249 248.361113 \nL 141.862117 245.48631 \nL 139.987054 242.346791 \nL 137.83401 238.250243 \nL 135.79754 233.819589 \nL 133.889952 229.082547 \nL 132.124443 224.0679 \nL 130.515025 218.805188 \nL 129.07641 213.324462 \nL 127.823895 207.655964 \nL 126.773175 201.829846 \nL 125.940222 195.875923 \nL 125.34104 189.823424 \nL 124.991483 183.700779 \nL 124.902091 178.564817 \nL 125.005499 173.414468 \nL 125.309974 168.264354 \nL 125.823347 163.12842 \nL 126.55285 158.019891 \nL 127.505034 152.951233 \nL 128.685704 147.934131 \nL 130.099785 142.979475 \nL 131.751284 138.097349 \nL 133.643143 133.297046 \nL 135.777213 128.587061 \nL 138.15416 123.975115 \nL 140.773403 119.468186 \nL 143.633059 115.07253 \nL 146.7299 110.793721 \nL 150.059317 106.636704 \nL 153.615285 102.605819 \nL 157.390357 98.704872 \nL 161.375671 94.937185 \nL 165.560936 91.305637 \nL 169.934472 87.812748 \nL 174.483227 84.460706 \nL 179.192845 81.25144 \nL 184.0477 78.186672 \nL 189.03097 75.267989 \nL 195.155076 71.960454 \nL 201.405308 68.867819 \nL 207.746881 65.992519 \nL 214.143418 63.3371 \nL 220.557254 60.904228 \nL 226.949765 58.696799 \nL 233.281711 56.717969 \nL 239.513591 54.971157 \nL 246.60511 53.231418 \nL 252.485705 52.000318 \nL 258.143658 51.013746 \nL 263.542379 50.276027 \nL 268.646944 49.791578 \nL 273.424426 49.564814 \nL 277.844222 49.600012 \nL 281.233873 49.83242 \nL 284.340983 50.251796 \nL 287.152381 50.860158 \nL 289.656482 51.659255 \nL 291.431784 52.436878 \nL 292.999714 53.338138 \nL 294.356701 54.363477 \nL 295.499878 55.513217 \nL 296.427128 56.787467 \nL 297.137054 58.186176 \nL 297.629002 59.70908 \nL 297.903045 61.355721 \nL 297.95996 63.125419 \nL 297.801248 65.017286 \nL 297.429082 67.030184 \nL 296.668091 69.714441 \nL 295.585005 72.582512 \nL 294.188249 75.630652 \nL 292.487604 78.854512 \nL 290.061358 82.948079 \nL 287.23477 87.27784 \nL 283.46233 92.613179 \nL 279.21681 98.235793 \nL 273.840099 104.985717 \nL 267.201554 112.949977 \nL 259.206232 122.193984 \nL 248.931727 133.721044 \nL 236.285193 147.568479 \nL 221.35547 163.589043 \nL 206.314339 179.406493 \nL 194.243613 191.802557 \nL 184.246502 201.781218 \nL 175.38658 210.320406 \nL 167.628123 217.485307 \nL 160.918282 223.381719 \nL 155.198611 228.139149 \nL 149.624633 232.492378 \nL 144.965094 235.883067 \nL 140.415945 238.94458 \nL 135.978116 241.664848 \nL 131.652363 244.033726 \nL 128.133728 245.733453 \nL 124.693964 247.179928 \nL 121.33374 248.370626 \nL 118.053913 249.30412 \nL 114.855583 249.980036 \nL 111.740133 250.399122 \nL 108.709308 250.563187 \nL 105.765222 250.475136 \nL 102.910402 250.138921 \nL 100.147849 249.559506 \nL 97.480998 248.742827 \nL 94.913793 247.695805 \nL 92.450662 246.426204 \nL 90.096542 244.942648 \nL 87.856864 243.254509 \nL 85.737582 241.371849 \nL 83.7451 239.305341 \nL 81.886267 237.066186 \nL 80.168387 234.666054 \nL 78.599146 232.116981 \nL 77.186577 229.431263 \nL 75.939008 226.621392 \nL 74.865044 223.699962 \nL 73.973437 220.679593 \nL 73.273098 217.572826 \nL 72.772969 214.392071 \nL 72.481961 211.149492 \nL 72.408921 207.856973 \nL 72.562506 204.526024 \nL 72.951088 201.167726 \nL 73.582731 197.792694 \nL 74.465047 194.410987 \nL 75.605138 191.032107 \nL 77.009526 187.664935 \nL 78.684036 184.31773 \nL 80.63374 180.998081 \nL 82.862879 177.712919 \nL 85.374813 174.468506 \nL 88.171888 171.270431 \nL 91.255448 168.123631 \nL 94.625734 165.032413 \nL 98.281839 162.000468 \nL 102.221722 159.030915 \nL 106.442053 156.126333 \nL 110.938278 153.288811 \nL 115.704613 150.519994 \nL 120.733924 147.821136 \nL 127.104329 144.676137 \nL 133.824359 141.634293 \nL 140.874401 138.696292 \nL 148.232274 135.862573 \nL 155.873264 133.133485 \nL 165.10926 130.082346 \nL 174.646552 127.175227 \nL 184.434099 124.413839 \nL 195.856063 121.439889 \nL 207.446779 118.665651 \nL 219.115034 116.099271 \nL 230.76604 113.751399 \nL 242.302553 111.635242 \nL 253.626055 109.766502 \nL 264.638022 108.163148 \nL 275.241258 106.84508 \nL 285.34122 105.833667 \nL 293.694631 105.217677 \nL 301.536154 104.868504 \nL 307.80945 104.792768 \nL 313.636367 104.932846 \nL 318.988598 105.29709 \nL 323.067796 105.777393 \nL 326.78673 106.422603 \nL 330.134016 107.236124 \nL 333.099982 108.220754 \nL 335.192786 109.133121 \nL 337.033164 110.157157 \nL 338.618598 111.293324 \nL 339.947293 112.541741 \nL 341.018213 113.902194 \nL 341.831051 115.374112 \nL 342.386219 116.956548 \nL 342.684858 118.648185 \nL 342.728788 120.44732 \nL 342.520513 122.351867 \nL 342.063204 124.359348 \nL 341.360635 126.46689 \nL 340.417202 128.671245 \nL 338.906784 131.55725 \nL 337.038597 134.580885 \nL 334.824637 137.733326 \nL 332.277948 141.004899 \nL 328.802393 145.073218 \nL 324.893407 149.278366 \nL 320.577849 153.599323 \nL 315.883518 158.01377 \nL 309.966014 163.250794 \nL 303.617278 168.544313 \nL 296.882872 173.854195 \nL 289.807652 179.139438 \nL 282.435287 184.358634 \nL 274.807869 189.470455 \nL 266.96549 194.434114 \nL 258.94601 199.209869 \nL 251.958157 203.124782 \nL 244.887139 206.850578 \nL 237.752461 210.365606 \nL 230.572289 213.64967 \nL 223.363516 216.684229 \nL 216.141835 219.45259 \nL 210.124464 221.545528 \nL 204.116201 223.435955 \nL 198.124549 225.117544 \nL 192.156654 226.585083 \nL 186.219374 227.83452 \nL 180.319324 228.862947 \nL 174.462964 229.668677 \nL 168.656656 230.251189 \nL 162.906716 230.611195 \nL 157.2195 230.750555 \nL 151.601461 230.672333 \nL 146.059173 230.380712 \nL 140.599438 229.881005 \nL 135.229291 229.179579 \nL 129.956057 228.283814 \nL 124.787383 227.202028 \nL 119.731266 225.943467 \nL 114.796062 224.518169 \nL 109.045789 222.602947 \nL 103.498116 220.483042 \nL 98.169636 218.179465 \nL 93.077739 215.714139 \nL 88.240436 213.109673 \nL 83.676309 210.389107 \nL 79.404416 207.575675 \nL 75.444111 204.692583 \nL 71.814886 201.762748 \nL 68.536222 198.808585 \nL 65.627346 195.851788 \nL 63.499343 193.400773 \nL 61.651746 190.973774 \nL 60.094714 188.581592 \nL 58.837864 186.234351 \nL 57.890257 183.941439 \nL 57.36051 182.152028 \nL 57.038024 180.40692 \nL 56.926445 178.709783 \nL 57.029007 177.063917 \nL 57.348618 175.472263 \nL 57.887762 173.937371 \nL 58.648499 172.461423 \nL 59.632458 171.046217 \nL 60.840811 169.693173 \nL 62.274257 168.403342 \nL 63.933017 167.177403 \nL 66.322886 165.735283 \nL 69.062787 164.393335 \nL 72.14993 163.150606 \nL 75.580287 162.005379 \nL 79.348647 160.955222 \nL 84.307751 159.816138 \nL 89.730982 158.803037 \nL 96.623755 157.770272 \nL 104.098239 156.885412 \nL 113.310843 156.036605 \nL 124.464178 155.261572 \nL 137.735401 154.585258 \nL 154.704237 153.971367 \nL 177.16306 153.411525 \nL 210.017255 152.845526 \nL 250.965174 152.36319 \nL 276.646518 152.256553 \nL 295.134313 152.390812 \nL 309.735023 152.724773 \nL 320.836533 153.194496 \nL 329.988359 153.791166 \nL 337.396556 154.471525 \nL 344.209419 155.315796 \nL 349.55238 156.180687 \nL 354.419555 157.184361 \nL 358.797001 158.333639 \nL 362.062495 159.406631 \nL 364.974743 160.587044 \nL 367.529761 161.876558 \nL 369.724874 163.276042 \nL 371.220843 164.474847 \nL 372.485387 165.743656 \nL 373.518888 167.081691 \nL 374.322202 168.487791 \nL 374.896693 169.960406 \nL 375.244199 171.497597 \nL 375.367003 173.097031 \nL 375.267855 174.755984 \nL 374.949892 176.471347 \nL 374.416668 178.239632 \nL 373.672103 180.056979 \nL 372.450738 182.391191 \nL 370.914867 184.786441 \nL 369.074215 187.232918 \nL 366.939098 189.720076 \nL 364.520341 192.236676 \nL 361.259245 195.278736 \nL 357.625897 198.324601 \nL 353.6407 201.351855 \nL 349.324317 204.337379 \nL 344.697392 207.257569 \nL 339.780432 210.088562 \nL 334.593583 212.806526 \nL 329.156463 215.387844 \nL 323.488141 217.809423 \nL 317.606946 220.048881 \nL 311.530467 222.084811 \nL 306.329686 223.611355 \nL 301.014213 224.97158 \nL 295.592928 226.15533 \nL 290.074327 227.153291 \nL 284.466562 227.957087 \nL 278.777449 228.559306 \nL 273.014524 228.953596 \nL 267.185081 229.134703 \nL 261.296204 229.098526 \nL 255.354851 228.842127 \nL 249.367899 228.363755 \nL 243.342198 227.66291 \nL 237.284643 226.740274 \nL 231.20225 225.597797 \nL 225.1022 224.238605 \nL 218.991919 222.667019 \nL 212.879133 220.888543 \nL 206.771934 218.9098 \nL 199.462684 216.281875 \nL 192.189369 213.391976 \nL 184.968679 210.25735 \nL 177.818479 206.897081 \nL 170.757869 203.331897 \nL 163.807218 199.583958 \nL 156.988188 195.676666 \nL 150.323672 191.63445 \nL 142.775916 186.781668 \nL 135.511463 181.820551 \nL 128.572223 176.79261 \nL 122.001481 171.73938 \nL 115.843442 166.701937 \nL 110.142733 161.720398 \nL 105.654119 157.524389 \nL 101.561698 153.421228 \nL 97.892264 149.433028 \nL 94.671514 145.580538 \nL 92.347878 142.487716 \nL 90.36587 139.512763 \nL 88.7377 136.665078 \nL 87.474424 133.953166 \nL 86.733252 131.886519 \nL 86.236432 129.915081 \nL 85.987874 128.041896 \nL 85.990876 126.269617 \nL 86.24808 124.60049 \nL 86.761506 123.036364 \nL 87.532476 121.578691 \nL 88.561643 120.228533 \nL 89.848945 118.986567 \nL 91.3936 117.853097 \nL 93.194128 116.828062 \nL 95.248319 115.91107 \nL 97.553246 115.101376 \nL 100.781416 114.238525 \nL 104.387016 113.53898 \nL 108.359741 112.999406 \nL 112.687698 112.615875 \nL 118.331148 112.355329 \nL 124.440808 112.304605 \nL 130.98792 112.454524 \nL 139.137294 112.870078 \nL 147.786005 113.529682 \nL 158.208385 114.561799 \nL 169.118722 115.868269 \nL 181.859833 117.638192 \nL 194.964066 119.697842 \nL 208.293668 122.021591 \nL 221.711612 124.587998 \nL 235.083647 127.380165 \nL 246.826469 130.041544 \nL 258.343725 132.865718 \nL 269.55346 135.849349 \nL 279.049542 138.589787 \nL 288.204422 141.451447 \nL 296.974849 144.435108 \nL 304.156665 147.090455 \nL 311.005276 149.836918 \nL 317.50117 152.67501 \nL 323.627319 155.604904 \nL 329.369231 158.626282 \nL 333.851935 161.213307 \nL 338.053906 163.862232 \nL 341.970789 166.571645 \nL 345.599432 169.33965 \nL 348.93785 172.163811 \nL 351.985185 175.041128 \nL 354.74166 177.96799 \nL 357.208575 180.940151 \nL 359.388214 183.952721 \nL 361.283799 187.000136 \nL 362.899433 190.076168 \nL 364.24003 193.173914 \nL 365.311235 196.285828 \nL 366.119358 199.40371 \nL 366.671313 202.518746 \nL 366.974509 205.621549 \nL 367.036778 208.70218 \nL 366.866301 211.750212 \nL 366.471547 214.754775 \nL 365.86116 217.704608 \nL 365.043904 220.588139 \nL 364.028552 223.393552 \nL 362.823866 226.108852 \nL 361.438505 228.721951 \nL 359.880944 231.220743 \nL 358.159428 233.593174 \nL 356.28196 235.827374 \nL 354.256192 237.911679 \nL 352.089418 239.834758 \nL 349.788507 241.585679 \nL 347.35993 243.15399 \nL 344.80968 244.529813 \nL 342.143305 245.703893 \nL 339.365837 246.667694 \nL 336.481885 247.41344 \nL 333.49554 247.934182 \nL 330.410459 248.223877 \nL 327.229844 248.277387 \nL 323.956507 248.090569 \nL 320.592816 247.66026 \nL 317.140832 246.984335 \nL 313.602268 246.061699 \nL 309.978593 244.89231 \nL 306.271085 243.477164 \nL 302.480802 241.81832 \nL 297.824577 239.510389 \nL 293.052174 236.863164 \nL 288.165276 233.885849 \nL 283.165783 230.589529 \nL 277.193832 226.357929 \nL 271.076409 221.733106 \nL 264.819565 216.74118 \nL 257.508259 210.623474 \nL 249.096495 203.270419 \nL 239.551408 194.598698 \nL 228.867618 184.567777 \nL 217.0883 173.197733 \nL 204.334284 160.587035 \nL 190.84137 146.928599 \nL 178.797377 134.417433 \nL 169.178607 124.125975 \nL 161.04699 115.115011 \nL 154.343503 107.35921 \nL 148.956523 100.794797 \nL 144.739304 95.335422 \nL 141.030158 90.164758 \nL 138.285564 85.977632 \nL 135.966621 82.02834 \nL 134.374395 78.926068 \nL 133.102932 76.00081 \nL 132.16155 73.256942 \nL 131.558134 70.698183 \nL 131.323048 68.786567 \nL 131.310824 66.996747 \nL 131.523248 65.329784 \nL 131.961414 63.786493 \nL 132.625666 62.367454 \nL 133.515619 61.073041 \nL 134.63013 59.903378 \nL 135.967308 58.858415 \nL 137.524515 57.937888 \nL 139.298368 57.141355 \nL 141.284741 56.468203 \nL 144.059128 55.799085 \nL 147.146947 55.319733 \nL 150.535546 55.028037 \nL 154.210704 54.921649 \nL 158.976907 55.034994 \nL 164.103305 55.406796 \nL 169.557591 56.032166 \nL 175.305237 56.906107 \nL 181.309797 58.023639 \nL 187.533284 59.379896 \nL 195.018454 61.257634 \nL 202.684818 63.446817 \nL 209.351597 65.566153 \nL 216.064065 67.905703 \nL 222.782357 70.461956 \nL 229.467416 73.231707 \nL 236.081333 76.211943 \nL 242.587658 79.39985 \nL 248.951697 82.792689 \nL 254.122733 85.77461 \nL 259.15451 88.895286 \nL 264.030479 92.152952 \nL 268.735343 95.545691 \nL 273.255112 99.071366 \nL 277.57715 102.727556 \nL 281.69022 106.511509 \nL 285.584509 110.420113 \nL 289.251638 114.449782 \nL 292.684664 118.596432 \nL 295.87808 122.855433 \nL 298.827799 127.221552 \nL 301.531101 131.688914 \nL 303.986606 136.250952 \nL 306.194218 140.900383 \nL 308.155085 145.629177 \nL 309.871506 150.428538 \nL 311.346852 155.288894 \nL 312.585521 160.199884 \nL 313.592808 165.15037 \nL 314.374865 170.128444 \nL 314.938542 175.121451 \nL 315.291333 180.116021 \nL 315.441282 185.098107 \nL 315.396897 190.053029 \nL 315.099526 195.941569 \nL 314.550721 201.741712 \nL 313.766497 207.425298 \nL 312.762941 212.963518 \nL 311.556004 218.327135 \nL 310.161341 223.486746 \nL 308.59414 228.413039 \nL 306.868946 233.077072 \nL 304.999543 237.450581 \nL 302.99889 241.506187 \nL 301.240083 244.624148 \nL 299.404874 247.488857 \nL 297.499163 250.086856 \nL 295.528328 252.405595 \nL 293.497222 254.433577 \nL 291.410205 256.160457 \nL 289.702917 257.318988 \nL 287.964035 258.274854 \nL 286.195091 259.024527 \nL 284.397433 259.565042 \nL 282.572224 259.894018 \nL 280.720468 260.009687 \nL 278.842989 259.910878 \nL 276.940475 259.597035 \nL 275.013491 259.068216 \nL 273.062476 258.325076 \nL 271.087746 257.368903 \nL 268.586366 255.877038 \nL 266.048631 254.060239 \nL 263.474751 251.92489 \nL 260.864839 249.478661 \nL 257.685543 246.145558 \nL 254.454783 242.395543 \nL 251.173035 238.248641 \nL 247.281022 232.938567 \nL 243.322926 227.156587 \nL 238.722814 220.023401 \nL 233.45899 211.406414 \nL 227.517873 201.209486 \nL 220.903269 189.392191 \nL 213.650336 175.988763 \nL 205.845164 161.124379 \nL 198.22422 146.1726 \nL 191.489041 132.515895 \nL 185.689767 120.280673 \nL 180.828208 109.5025 \nL 176.862988 100.154559 \nL 173.71879 92.170721 \nL 171.297509 85.46334 \nL 169.213563 79.036266 \nL 167.715692 73.763373 \nL 166.499981 68.718248 \nL 165.579962 63.908977 \nL 165.047694 60.086452 \nL 164.734742 56.435986 \nL 164.645842 52.960467 \nL 164.784644 49.662345 \nL 165.153639 46.543587 \nL 165.754095 43.605745 \nL 166.586039 40.84999 \nL 167.417459 38.777024 \nL 168.395001 36.821363 \nL 169.516875 34.983146 \nL 170.780759 33.2624 \nL 172.183789 31.65905 \nL 174.128029 29.819713 \nL 176.276569 28.163077 \nL 178.620389 26.68852 \nL 181.149278 25.39531 \nL 183.851887 24.282626 \nL 186.715803 23.349614 \nL 189.727615 22.595367 \nL 192.873002 22.019024 \nL 196.13684 21.619745 \nL 200.187443 21.373232 \nL 204.357256 21.3794 \nL 208.61679 21.637268 \nL 212.935873 22.146082 \nL 217.283938 22.905334 \nL 221.630333 23.9148 \nL 225.944613 25.174432 \nL 230.196847 26.68446 \nL 233.671925 28.134355 \nL 237.067357 29.758666 \nL 240.367462 31.55775 \nL 243.557275 33.531923 \nL 246.622649 35.681492 \nL 249.550337 38.006723 \nL 252.328069 40.507773 \nL 254.944608 43.184659 \nL 257.38982 46.037231 \nL 259.654718 49.065108 \nL 261.731487 52.267633 \nL 263.613532 55.643869 \nL 265.295457 59.19248 \nL 266.773112 62.911755 \nL 268.043555 66.799519 \nL 269.105046 70.853124 \nL 269.95702 75.069358 \nL 270.600047 79.444461 \nL 271.035793 83.974023 \nL 271.266953 88.653036 \nL 271.297189 93.475764 \nL 271.131094 98.435772 \nL 270.680291 104.558874 \nL 269.965349 110.855478 \nL 268.998398 117.310162 \nL 267.792698 123.905842 \nL 266.362413 130.623804 \nL 264.429789 138.588734 \nL 262.236182 146.65725 \nL 259.806469 154.79139 \nL 256.772476 164.115597 \nL 253.49915 173.407582 \nL 250.021715 182.5989 \nL 246.37352 191.618026 \nL 242.585554 200.391141 \nL 238.686125 208.843068 \nL 234.700609 216.898275 \nL 231.160304 223.562324 \nL 227.584298 229.816447 \nL 224.499374 234.815068 \nL 221.402754 239.449558 \nL 218.299796 243.693236 \nL 215.195112 247.521314 \nL 212.609429 250.377514 \nL 210.027289 252.91753 \nL 207.450454 255.13081 \nL 204.8805 257.008183 \nL 202.830462 258.262958 \nL 200.786444 259.294481 \nL 198.749123 260.100087 \nL 196.719169 260.677784 \nL 194.697268 261.026243 \nL 192.684131 261.144784 \nL 190.680516 261.033399 \nL 188.68724 260.692768 \nL 186.705196 260.124244 \nL 184.735366 259.329811 \nL 182.778843 258.312143 \nL 180.836833 257.074518 \nL 178.910671 255.620855 \nL 176.52753 253.506881 \nL 174.174709 251.07249 \nL 171.855843 248.329045 \nL 169.574995 245.289157 \nL 167.336666 241.966563 \nL 164.713835 237.627064 \nL 162.168901 232.928871 \nL 159.712302 227.900681 \nL 157.355439 222.572436 \nL 155.110619 216.975062 \nL 152.991019 211.140103 \nL 151.010566 205.099445 \nL 149.183861 198.885023 \nL 147.526052 192.528534 \nL 146.052667 186.061213 \nL 144.779471 179.513556 \nL 143.722261 172.915128 \nL 142.896697 166.294364 \nL 142.318047 159.678407 \nL 142.00101 153.092966 \nL 141.946674 147.645893 \nL 142.091131 142.249946 \nL 142.441258 136.917432 \nL 143.003207 131.659834 \nL 143.782384 126.487797 \nL 144.783287 121.411123 \nL 146.009456 116.438794 \nL 147.463413 111.578968 \nL 149.146548 106.839012 \nL 151.059099 102.225529 \nL 153.200056 97.744383 \nL 155.567141 93.40075 \nL 158.156755 89.199151 \nL 160.963956 85.143495 \nL 163.982451 81.237145 \nL 167.20458 77.482939 \nL 170.621334 73.883276 \nL 174.222362 70.440165 \nL 177.996018 67.15525 \nL 181.929379 64.029909 \nL 186.008327 61.065287 \nL 190.217596 58.262331 \nL 194.540855 55.62188 \nL 198.960799 53.144654 \nL 204.366682 50.388409 \nL 209.852662 47.869395 \nL 215.384523 45.58885 \nL 220.927031 43.548184 \nL 226.444254 41.748959 \nL 231.899904 40.192983 \nL 237.257678 38.882291 \nL 242.481607 37.819149 \nL 247.536419 37.006039 \nL 252.387878 36.445667 \nL 257.003128 36.140864 \nL 261.351015 36.094543 \nL 264.74893 36.25552 \nL 267.925248 36.599721 \nL 270.865534 37.128731 \nL 273.556648 37.844094 \nL 275.986858 38.74714 \nL 277.736237 39.605549 \nL 279.307486 40.585372 \nL 280.696701 41.687032 \nL 281.900625 42.910844 \nL 282.916654 44.25699 \nL 283.742868 45.725513 \nL 284.378021 47.316337 \nL 284.82151 49.029205 \nL 285.073413 50.863719 \nL 285.134446 52.819289 \nL 285.005965 54.89516 \nL 284.581936 57.657689 \nL 283.870102 60.604388 \nL 282.877026 63.732486 \nL 281.610574 67.038676 \nL 279.742846 71.235801 \nL 277.512392 75.676308 \nL 274.478301 81.15278 \nL 271.011989 86.932788 \nL 266.568833 93.887134 \nL 261.02595 102.11902 \nL 254.291933 111.71556 \nL 245.573594 123.754444 \nL 233.194 140.453923 \nL 214.682714 165.024099 \nL 197.836936 187.048555 \nL 186.935965 200.969241 \nL 178.644556 211.230669 \nL 171.348267 219.901278 \nL 165.688074 226.309633 \nL 160.190128 232.190978 \nL 155.514216 236.866202 \nL 151.606678 240.499825 \nL 147.79157 243.770553 \nL 144.068429 246.663436 \nL 140.436758 249.165606 \nL 137.479951 250.94456 \nL 134.58629 252.439863 \nL 131.755871 253.647827 \nL 128.989016 254.565939 \nL 126.286333 255.192961 \nL 123.648783 255.528861 \nL 121.586516 255.588779 \nL 119.56764 255.464377 \nL 117.593232 255.157383 \nL 115.66453 254.670003 \nL 113.783003 254.004945 \nL 111.950279 253.165387 \nL 109.730939 251.876153 \nL 107.595008 250.328031 \nL 105.547191 248.530109 \nL 103.592719 246.492398 \nL 101.737374 244.225782 \nL 99.987478 241.741891 \nL 98.349848 239.053085 \nL 96.831777 236.172272 \nL 95.441003 233.112884 \nL 94.185665 229.888767 \nL 93.074293 226.514025 \nL 92.115671 223.002998 \nL 91.318858 219.370118 \nL 90.693071 215.629824 \nL 90.247653 211.79647 \nL 89.99196 207.884238 \nL 89.935251 203.907037 \nL 90.086711 199.878472 \nL 90.455262 195.811709 \nL 91.049519 191.719466 \nL 91.877662 187.613922 \nL 92.947356 183.506673 \nL 94.265703 179.408695 \nL 95.839077 175.330315 \nL 97.673059 171.281171 \nL 99.772385 167.270212 \nL 102.140828 163.30568 \nL 104.781116 159.395114 \nL 107.694876 155.545354 \nL 110.882562 151.762561 \nL 114.343382 148.052243 \nL 118.075286 144.419279 \nL 122.074848 140.86796 \nL 126.337313 137.402029 \nL 130.856511 134.024736 \nL 135.624865 130.738879 \nL 140.633395 127.546865 \nL 145.871695 124.450775 \nL 151.327957 121.452414 \nL 158.144541 117.985617 \nL 165.230633 114.664314 \nL 172.558238 111.49083 \nL 180.096843 108.467461 \nL 187.813553 105.596618 \nL 196.994624 102.443638 \nL 206.311374 99.506689 \nL 215.701797 96.791393 \nL 225.101438 94.30431 \nL 234.444049 92.053035 \nL 243.662298 90.046217 \nL 252.6885 88.293503 \nL 261.455383 86.805448 \nL 269.896886 85.593379 \nL 277.948952 84.669115 \nL 285.550282 84.044841 \nL 291.663097 83.757694 \nL 297.368388 83.707306 \nL 302.63491 83.900807 \nL 306.667964 84.253151 \nL 310.361857 84.78295 \nL 313.703509 85.493291 \nL 316.681536 86.386807 \nL 318.795628 87.234948 \nL 320.666744 88.202514 \nL 322.291553 89.290066 \nL 323.667518 90.497914 \nL 324.792874 91.826068 \nL 325.666606 93.27424 \nL 326.288472 94.841841 \nL 326.659 96.527959 \nL 326.779479 98.331339 \nL 326.651876 100.250409 \nL 326.278917 102.283243 \nL 325.663974 104.427574 \nL 324.811097 106.680787 \nL 323.417532 109.64589 \nL 321.669845 112.769961 \nL 319.579736 116.045654 \nL 317.16007 119.464824 \nL 313.841091 123.744607 \nL 310.093374 128.201296 \nL 305.944191 132.816629 \nL 300.634151 138.375477 \nL 294.863108 144.090352 \nL 288.67848 149.926115 \nL 281.16485 156.696346 \nL 273.243083 163.519468 \nL 264.98112 170.337041 \nL 256.443891 177.089844 \nL 247.692543 183.718617 \nL 238.783858 190.164844 \nL 230.900723 195.610679 \nL 222.96882 200.836289 \nL 215.01702 205.806612 \nL 207.071366 210.488684 \nL 200.283467 214.249278 \nL 193.530513 217.758084 \nL 186.82451 220.999194 \nL 180.176344 223.958498 \nL 173.595954 226.623825 \nL 167.092473 228.985008 \nL 161.73779 230.714453 \nL 156.447057 232.223577 \nL 151.224766 233.50993 \nL 146.075303 234.5722 \nL 141.003014 235.410131 \nL 136.012279 236.02456 \nL 131.107559 236.417406 \nL 126.293457 236.591648 \nL 121.574762 236.551313 \nL 116.956515 236.301422 \nL 112.444023 235.847944 \nL 108.042889 235.197787 \nL 103.759094 234.358694 \nL 99.59896 233.339224 \nL 95.569156 232.148667 \nL 91.676776 230.796959 \nL 87.929249 229.294626 \nL 84.334378 227.652691 \nL 80.233542 225.514237 \nL 76.379035 223.211665 \nL 72.786119 220.765843 \nL 69.470607 218.197898 \nL 66.44865 215.528994 \nL 64.166439 213.242932 \nL 62.109003 210.913281 \nL 60.285812 208.551708 \nL 58.706297 206.169544 \nL 57.379663 203.777696 \nL 56.314885 201.386579 \nL 55.520598 199.006063 \nL 55.005026 196.645398 \nL 54.798484 194.776966 \nL 54.779003 192.930839 \nL 54.95004 191.110798 \nL 55.314807 189.320313 \nL 55.876179 187.562538 \nL 56.636737 185.8403 \nL 57.598699 184.156096 \nL 58.763936 182.512094 \nL 60.133971 180.910132 \nL 61.709882 179.35172 \nL 63.970383 177.466722 \nL 66.554162 175.653219 \nL 69.46066 173.912075 \nL 72.688249 172.243441 \nL 76.234234 170.646794 \nL 80.904285 168.824171 \nL 86.018707 167.100431 \nL 91.566613 165.471439 \nL 97.534949 163.932167 \nL 105.008925 162.242048 \nL 113.006474 160.656172 \nL 122.746965 158.957733 \nL 134.407041 157.173051 \nL 148.135715 155.320671 \nL 164.030033 153.410533 \nL 183.639167 151.287879 \nL 206.965575 148.987513 \nL 233.657657 146.576517 \nL 258.325885 144.564533 \nL 277.559778 143.201056 \nL 292.978236 142.310888 \nL 306.126263 141.769712 \nL 317.125484 141.545921 \nL 326.155531 141.588984 \nL 333.427701 141.835247 \nL 340.072444 142.293693 \nL 345.242804 142.867099 \nL 349.908754 143.616064 \nL 353.40026 144.379574 \nL 356.522855 145.273508 \nL 359.270314 146.30057 \nL 361.637869 147.462657 \nL 363.256124 148.490274 \nL 364.628083 149.605105 \nL 365.753323 150.80688 \nL 366.631992 152.094935 \nL 367.264861 153.468204 \nL 367.653274 154.925209 \nL 367.7991 156.464061 \nL 367.704782 158.082458 \nL 367.373259 159.777684 \nL 366.807986 161.546613 \nL 366.012885 163.385718 \nL 364.702487 165.777273 \nL 363.049265 168.263821 \nL 361.063548 170.835964 \nL 358.756507 173.483457 \nL 355.58068 176.744319 \nL 351.980925 180.077317 \nL 347.979851 183.460678 \nL 343.600808 186.871495 \nL 338.867547 190.285935 \nL 333.804063 193.679477 \nL 328.434318 197.02712 \nL 322.78201 200.303659 \nL 316.870425 203.483904 \nL 310.722238 206.542961 \nL 304.359427 209.456476 \nL 297.803135 212.200867 \nL 291.073602 214.753596 \nL 284.190141 217.093383 \nL 278.34962 218.866223 \nL 272.425124 220.466863 \nL 266.426346 221.885653 \nL 260.362596 223.113906 \nL 254.2428 224.143972 \nL 248.075568 224.969305 \nL 241.869225 225.584507 \nL 235.631867 225.985338 \nL 229.371422 226.168803 \nL 223.095707 226.133158 \nL 216.812497 225.877879 \nL 210.529582 225.403719 \nL 204.254834 224.712716 \nL 197.996277 223.808106 \nL 191.762132 222.694368 \nL 185.560898 221.377155 \nL 179.401384 219.863271 \nL 173.292777 218.160609 \nL 167.244673 216.278106 \nL 160.080991 213.795717 \nL 153.037179 211.087478 \nL 146.13253 208.173875 \nL 139.387396 205.076854 \nL 132.823144 201.81959 \nL 126.462157 198.426262 \nL 120.327711 194.921809 \nL 114.443884 191.331688 \nL 108.835442 187.681606 \nL 103.527617 183.997277 \nL 98.545967 180.304182 \nL 93.916072 176.62732 \nL 89.663354 172.990967 \nL 85.812799 169.418469 \nL 82.388668 165.932026 \nL 79.414204 162.552492 \nL 77.294826 159.831884 \nL 75.514836 157.20929 \nL 74.085217 154.69416 \nL 73.015925 152.295031 \nL 72.425971 150.464383 \nL 72.076351 148.716292 \nL 71.970564 147.053786 \nL 72.11155 145.479479 \nL 72.501706 143.995572 \nL 73.14281 142.603852 \nL 74.036034 141.305688 \nL 75.18197 140.102042 \nL 76.580545 138.993475 \nL 78.23106 137.980153 \nL 80.132174 137.061865 \nL 82.281878 136.23803 \nL 85.314541 135.339606 \nL 88.724974 134.584741 \nL 92.50513 133.970129 \nL 97.515859 133.412077 \nL 103.026061 133.042178 \nL 109.013814 132.851301 \nL 116.570217 132.841489 \nL 124.700052 133.044689 \nL 134.632947 133.514892 \nL 146.534668 134.314948 \nL 160.526577 135.496075 \nL 176.658857 137.093941 \nL 194.881819 139.127879 \nL 215.017544 141.604955 \nL 235.192023 144.313233 \nL 253.529383 146.992534 \nL 269.855456 149.595676 \nL 284.123908 152.091755 \nL 296.380947 154.455196 \nL 306.734366 156.660108 \nL 316.517497 158.974044 \nL 324.569166 161.096938 \nL 332.114026 163.319181 \nL 338.15741 165.308217 \nL 343.794497 167.37903 \nL 349.013141 169.534726 \nL 353.80347 171.777596 \nL 357.462651 173.714232 \nL 360.815846 175.712523 \nL 363.860877 177.772069 \nL 366.596656 179.891845 \nL 369.023098 182.070166 \nL 371.141112 184.304652 \nL 372.952601 186.592207 \nL 374.460344 188.929006 \nL 375.450275 190.830861 \nL 376.250386 192.758647 \nL 376.863257 194.70939 \nL 377.29172 196.679803 \nL 377.538915 198.666324 \nL 377.598192 201.16624 \nL 377.386661 203.677169 \nL 376.91188 206.190372 \nL 376.181828 208.696506 \nL 375.204846 211.185706 \nL 373.989495 213.64762 \nL 372.544538 216.071481 \nL 370.878855 218.446174 \nL 369.001365 220.760293 \nL 366.920939 223.002242 \nL 364.646412 225.160287 \nL 362.18642 227.222648 \nL 359.54942 229.177604 \nL 356.743635 231.013512 \nL 353.776992 232.718976 \nL 350.657071 234.282854 \nL 347.391155 235.694422 \nL 343.986082 236.94337 \nL 340.448342 238.019927 \nL 336.784024 238.91492 \nL 332.998794 239.619874 \nL 329.097946 240.127035 \nL 325.086398 240.429447 \nL 320.968692 240.521018 \nL 316.749048 240.396541 \nL 312.431397 240.051776 \nL 308.019375 239.483427 \nL 303.516438 238.689243 \nL 298.925849 237.667956 \nL 294.250777 236.419365 \nL 289.494304 234.944276 \nL 284.659542 233.244557 \nL 278.758946 230.912528 \nL 272.755903 228.268133 \nL 266.656602 225.320321 \nL 260.467809 222.079971 \nL 254.197079 218.55983 \nL 246.789032 214.118812 \nL 239.29637 209.342571 \nL 231.736747 204.259655 \nL 223.041234 198.114875 \nL 214.319405 191.659556 \nL 205.61097 184.946118 \nL 195.886155 177.153091 \nL 186.30721 169.18271 \nL 176.954066 161.116374 \nL 167.913957 153.035551 \nL 159.280325 145.020631 \nL 151.151298 137.149806 \nL 144.430697 130.335149 \nL 138.259984 123.743431 \nL 133.367145 118.195326 \nL 128.995078 112.882654 \nL 125.695215 108.536573 \nL 122.83585 104.398353 \nL 120.806773 101.118652 \nL 119.112793 98.000142 \nL 117.765283 95.049284 \nL 116.774253 92.271784 \nL 116.243883 90.177945 \nL 115.950824 88.20041 \nL 115.898058 86.341021 \nL 116.087867 84.601344 \nL 116.521805 82.982612 \nL 117.200708 81.485757 \nL 118.124628 80.111445 \nL 119.292867 78.860024 \nL 120.703925 77.731584 \nL 122.355572 76.725961 \nL 124.244752 75.842739 \nL 126.367681 75.081262 \nL 128.719783 74.440692 \nL 131.974082 73.808324 \nL 135.566243 73.360724 \nL 139.482649 73.095019 \nL 143.708097 73.008048 \nL 149.162916 73.134749 \nL 155.007079 73.507539 \nL 161.206474 74.119843 \nL 167.724729 74.964938 \nL 175.681192 76.236166 \nL 183.956064 77.804643 \nL 192.483857 79.6604 \nL 201.197814 81.794022 \nL 210.030748 84.19691 \nL 218.915828 86.861257 \nL 227.787347 89.780094 \nL 235.332246 92.47982 \nL 242.781476 95.358528 \nL 250.097948 98.413069 \nL 257.246504 101.640531 \nL 264.194174 105.038106 \nL 270.910351 108.603016 \nL 276.310026 111.699498 \nL 281.514655 114.90834 \nL 286.510807 118.227527 \nL 291.28646 121.654809 \nL 295.831016 125.187618 \nL 300.135322 128.823028 \nL 304.191663 132.557687 \nL 307.993774 136.387764 \nL 311.536798 140.3089 \nL 314.817302 144.316162 \nL 317.83318 148.403994 \nL 320.583673 152.566187 \nL 323.069255 156.795848 \nL 325.291618 161.085376 \nL 327.253563 165.426448 \nL 328.958959 169.810007 \nL 330.412625 174.226269 \nL 331.620271 178.664728 \nL 332.588406 183.114178 \nL 333.324208 187.562729 \nL 333.835499 191.997859 \nL 334.130555 196.406444 \nL 334.218108 200.774814 \nL 334.107163 205.088824 \nL 333.80698 209.333905 \nL 333.210187 214.316007 \nL 332.370649 219.15114 \nL 331.304528 223.812763 \nL 330.02768 228.274259 \nL 328.555463 232.50918 \nL 326.902622 236.491519 \nL 325.083142 240.195943 \nL 323.449084 243.053056 \nL 321.715477 245.686759 \nL 319.888894 248.084276 \nL 317.975381 250.233588 \nL 315.980436 252.12357 \nL 313.909026 253.744088 \nL 311.76558 255.086026 \nL 310.001572 255.953567 \nL 308.195696 256.634115 \nL 306.349463 257.124616 \nL 304.464205 257.422537 \nL 302.541042 257.525887 \nL 300.580909 257.433188 \nL 298.584569 257.143543 \nL 296.552612 256.65657 \nL 294.485472 255.972444 \nL 291.852547 254.841232 \nL 289.165475 253.405806 \nL 286.424348 251.670101 \nL 283.629054 249.639297 \nL 280.77936 247.319828 \nL 277.287463 244.166205 \nL 273.716184 240.623114 \nL 270.065053 236.707881 \nL 265.704212 231.695563 \nL 261.234823 226.236549 \nL 255.996058 219.497296 \nL 249.941223 211.34677 \nL 242.325356 200.688997 \nL 233.062342 187.317198 \nL 220.653603 168.994598 \nL 204.517261 144.772818 \nL 191.771791 125.292031 \nL 183.156117 111.765625 \nL 176.445817 100.835436 \nL 171.458731 92.318042 \nL 167.474617 85.110149 \nL 164.379029 79.107781 \nL 161.68356 73.407817 \nL 159.715589 68.774356 \nL 158.082917 64.382519 \nL 156.801772 60.239493 \nL 156.012907 56.981474 \nL 155.484862 53.903491 \nL 155.223287 51.00806 \nL 155.232525 48.297214 \nL 155.436947 46.262525 \nL 155.817469 44.347647 \nL 156.37435 42.553021 \nL 157.107245 40.878969 \nL 158.015172 39.325675 \nL 159.09653 37.893163 \nL 160.349104 36.581358 \nL 161.770034 35.390063 \nL 163.355865 34.318968 \nL 165.102527 33.367693 \nL 167.504859 32.34638 \nL 170.14077 31.510517 \nL 172.998545 30.858914 \nL 176.065181 30.390304 \nL 179.326481 30.103373 \nL 182.767144 29.996777 \nL 187.109702 30.104992 \nL 191.65721 30.468709 \nL 196.378308 31.085769 \nL 201.24039 31.954249 \nL 206.209939 33.072369 \nL 211.252862 34.43863 \nL 216.334819 36.051751 \nL 221.42156 37.910711 \nL 226.479253 40.014665 \nL 231.474811 42.362924 \nL 236.376183 44.954963 \nL 240.36651 47.300863 \nL 244.253154 49.815411 \nL 248.020048 52.498224 \nL 251.652103 55.34887 \nL 255.135279 58.366752 \nL 258.456652 61.551073 \nL 261.604476 64.900837 \nL 264.568227 68.414715 \nL 267.338666 72.091065 \nL 269.907821 75.927835 \nL 272.269071 79.922543 \nL 274.417068 84.072202 \nL 276.347783 88.373265 \nL 278.058475 92.821605 \nL 279.547673 97.412451 \nL 280.815108 102.140346 \nL 281.861695 106.999113 \nL 282.689458 111.981829 \nL 283.301462 117.080783 \nL 283.70175 122.287455 \nL 283.895264 127.592505 \nL 283.887775 132.985757 \nL 283.685758 138.456204 \nL 283.196638 145.105897 \nL 282.451016 151.827619 \nL 281.463136 158.597683 \nL 280.247906 165.390818 \nL 278.820707 172.18027 \nL 277.197146 178.937922 \nL 275.075697 186.742469 \nL 272.732849 194.415445 \nL 270.19255 201.907031 \nL 267.477791 209.16642 \nL 264.610339 216.142356 \nL 261.610532 222.783722 \nL 258.948182 228.171831 \nL 256.213201 233.246226 \nL 253.415463 237.977092 \nL 250.563898 242.335974 \nL 248.15227 245.664877 \nL 245.712972 248.702391 \nL 243.249741 251.435161 \nL 240.765911 253.850999 \nL 238.264469 255.938981 \nL 236.252428 257.366853 \nL 234.23204 258.574535 \nL 232.204425 259.558426 \nL 230.170603 260.315545 \nL 228.13152 260.843584 \nL 226.088066 261.140891 \nL 224.041074 261.206479 \nL 221.991353 261.04004 \nL 219.939695 260.641964 \nL 217.886889 260.013307 \nL 215.833746 259.15581 \nL 213.781107 258.071857 \nL 211.729864 256.764485 \nL 209.680972 255.237381 \nL 207.124743 253.026118 \nL 204.576038 250.487928 \nL 202.037355 247.633854 \nL 199.5115 244.476163 \nL 196.50187 240.305195 \nL 193.521431 235.741697 \nL 190.577189 230.812798 \nL 187.677039 225.547259 \nL 184.361083 219.018819 \nL 181.132809 212.122553 \nL 178.009583 204.90907 \nL 175.010416 197.429587 \nL 172.155878 189.735251 \nL 169.467924 181.876623 \nL 166.969642 173.903145 \nL 164.685015 165.862667 \nL 162.638566 157.801065 \nL 160.855015 149.761876 \nL 159.554056 142.920073 \nL 158.479267 136.148964 \nL 157.64512 129.471051 \nL 157.065271 122.907177 \nL 156.752351 116.476481 \nL 156.70377 111.231933 \nL 156.854327 106.101202 \nL 157.209073 101.092665 \nL 157.772174 96.213904 \nL 158.546848 91.471744 \nL 159.535315 86.872248 \nL 160.738684 82.420787 \nL 162.156972 78.122039 \nL 163.788979 73.980043 \nL 165.632311 69.998243 \nL 167.68332 66.179536 \nL 169.937109 62.526314 \nL 172.387497 59.040502 \nL 175.02705 55.723627 \nL 177.847082 52.576861 \nL 180.837692 49.601041 \nL 183.987799 46.796782 \nL 187.285183 44.164482 \nL 190.716555 41.70434 \nL 194.267629 39.416457 \nL 197.923189 37.300856 \nL 201.66719 35.357547 \nL 206.253052 33.25292 \nL 210.911881 31.396334 \nL 215.612454 29.787944 \nL 220.32281 28.428018 \nL 225.010551 27.317078 \nL 229.643155 26.45587 \nL 234.188294 25.845376 \nL 238.614156 25.486831 \nL 242.889759 25.381679 \nL 246.985254 25.531557 \nL 250.24003 25.852556 \nL 253.33441 26.352977 \nL 256.253778 27.033924 \nL 258.984525 27.896484 \nL 261.514164 28.941729 \nL 263.83141 30.170629 \nL 265.926212 31.584073 \nL 267.436001 32.848212 \nL 268.793981 34.231241 \nL 269.99688 35.733383 \nL 271.042019 37.354772 \nL 271.927284 39.095425 \nL 272.651147 40.955232 \nL 273.212673 42.934004 \nL 273.611497 45.031375 \nL 273.881581 47.819107 \nL 273.899434 50.790029 \nL 273.668005 53.942407 \nL 273.191506 57.274074 \nL 272.475349 60.782391 \nL 271.308901 65.221138 \nL 269.820088 69.90341 \nL 268.024138 74.821767 \nL 265.563327 80.846723 \nL 262.736856 87.165658 \nL 259.099254 94.72423 \nL 254.546622 103.620639 \nL 249.001398 113.935457 \nL 241.806615 126.804871 \nL 232.877879 142.30408 \nL 221.595523 161.447087 \nL 209.510606 181.521046 \nL 200.228939 196.545962 \nL 192.453154 208.720679 \nL 186.138541 218.199226 \nL 180.600497 226.099862 \nL 175.800223 232.547788 \nL 171.697126 237.698371 \nL 167.685625 242.35285 \nL 164.320148 245.922878 \nL 161.021754 249.086305 \nL 158.32407 251.400271 \nL 155.672499 253.412737 \nL 153.066919 255.116939 \nL 150.507335 256.507422 \nL 147.993921 257.580069 \nL 146.016707 258.207465 \nL 144.069645 258.6289 \nL 142.153215 258.8442 \nL 140.268036 258.853779 \nL 138.41488 258.658618 \nL 136.594707 258.260277 \nL 134.808645 257.660898 \nL 133.058014 256.863153 \nL 131.344342 255.870297 \nL 129.669367 254.686082 \nL 127.633039 252.943272 \nL 125.664488 250.91759 \nL 123.768554 248.619562 \nL 121.950564 246.060711 \nL 120.216407 243.253546 \nL 118.572498 240.211392 \nL 117.025739 236.948292 \nL 115.308272 232.761669 \nL 113.754961 228.304434 \nL 112.380179 223.603759 \nL 111.199002 218.687344 \nL 110.227051 213.583132 \nL 109.48033 208.319084 \nL 108.975032 202.922893 \nL 108.750056 198.344781 \nL 108.713261 193.7092 \nL 108.873696 189.031125 \nL 109.240143 184.325027 \nL 109.821018 179.604834 \nL 110.624237 174.88386 \nL 111.657146 170.174766 \nL 112.926405 165.489517 \nL 114.437933 160.83936 \nL 116.196761 156.234796 \nL 118.206959 151.685576 \nL 120.471614 147.200694 \nL 122.992638 142.788397 \nL 125.770782 138.456193 \nL 128.80556 134.210884 \nL 132.095138 130.058576 \nL 135.636339 126.004728 \nL 139.424592 122.054194 \nL 143.453894 118.21126 \nL 147.716818 114.4797 \nL 152.204459 110.862824 \nL 156.90648 107.363548 \nL 161.811094 103.984431 \nL 166.905127 100.727748 \nL 172.174038 97.595538 \nL 177.601959 94.589684 \nL 184.301187 91.151924 \nL 191.172881 87.901575 \nL 198.183005 84.841564 \nL 205.295517 81.974922 \nL 212.472647 79.304868 \nL 219.675189 76.834898 \nL 228.056428 74.211239 \nL 236.352006 71.871805 \nL 244.495914 69.823942 \nL 252.422274 68.075711 \nL 260.066134 66.635703 \nL 267.364319 65.513008 \nL 273.298757 64.810288 \nL 278.89843 64.353456 \nL 284.129304 64.148317 \nL 288.959837 64.200507 \nL 292.658646 64.444388 \nL 296.04445 64.873443 \nL 299.103835 65.490188 \nL 301.82508 66.296832 \nL 303.751831 67.080074 \nL 305.451461 67.986722 \nL 306.920433 69.017299 \nL 308.155963 70.172119 \nL 309.156073 71.451259 \nL 309.919526 72.854584 \nL 310.445859 74.381688 \nL 310.735355 76.031915 \nL 310.789063 77.804353 \nL 310.608756 79.697805 \nL 310.196909 81.710803 \nL 309.556715 83.841594 \nL 308.441231 86.66759 \nL 306.983823 89.669796 \nL 305.19478 92.842902 \nL 302.626602 96.867698 \nL 299.619962 101.118195 \nL 296.199308 105.581315 \nL 291.720409 111.037726 \nL 286.757944 116.738803 \nL 280.553575 123.51884 \nL 272.978522 131.430877 \nL 264.870741 139.579326 \nL 255.358434 148.823512 \nL 244.433952 159.10466 \nL 233.184393 169.366188 \nL 222.7996 178.556235 \nL 212.365516 187.501925 \nL 203.002682 195.255629 \nL 193.720727 202.64912 \nL 185.573701 208.860326 \nL 177.5511 214.682276 \nL 170.650222 219.422407 \nL 163.872801 223.803735 \nL 158.16937 227.255105 \nL 152.56921 230.411443 \nL 147.076898 233.26096 \nL 141.696482 235.793688 \nL 136.431662 238.001606 \nL 132.135125 239.589018 \nL 127.923276 240.944246 \nL 123.79814 242.06592 \nL 119.761878 242.953674 \nL 115.816794 243.608165 \nL 111.965373 244.031061 \nL 108.210395 244.225035 \nL 104.554945 244.193731 \nL 101.002407 243.941765 \nL 97.556575 243.474657 \nL 94.221604 242.798782 \nL 91.002101 241.921363 \nL 87.903077 240.850393 \nL 84.929955 239.594563 \nL 82.088623 238.163205 \nL 79.385368 236.566238 \nL 76.826915 234.814056 \nL 74.420345 232.917474 \nL 72.173132 230.887649 \nL 70.093065 228.735997 \nL 68.188198 226.474104 \nL 66.466873 224.113656 \nL 64.937545 221.666327 \nL 63.608861 219.143748 \nL 62.489519 216.557387 \nL 61.58823 213.918492 \nL 60.913608 211.238003 \nL 60.47412 208.526514 \nL 60.278086 205.794193 \nL 60.333463 203.050719 \nL 60.647884 200.305237 \nL 61.228516 197.566324 \nL 62.082049 194.841931 \nL 63.21455 192.139382 \nL 64.631443 189.465308 \nL 66.337399 186.82568 \nL 68.33634 184.225757 \nL 70.631299 181.670112 \nL 73.224422 179.162629 \nL 76.116904 176.706514 \nL 79.308925 174.304321 \nL 82.799659 171.957985 \nL 86.587162 169.668845 \nL 90.668421 167.437691 \nL 95.947781 164.837221 \nL 101.634843 162.320291 \nL 107.717971 159.885753 \nL 114.183149 157.531816 \nL 122.186808 154.884372 \nL 130.658241 152.33939 \nL 139.563384 149.892509 \nL 150.222774 147.210798 \nL 161.335932 144.646235 \nL 174.29457 141.896217 \nL 187.633582 139.286898 \nL 202.761547 136.554786 \nL 218.051503 134.007698 \nL 234.849615 131.440409 \nL 251.394224 129.15232 \nL 266.011376 127.35269 \nL 278.667778 125.996418 \nL 290.718364 124.924527 \nL 300.821846 124.239479 \nL 310.267825 123.833364 \nL 317.933914 123.726994 \nL 324.991879 123.870327 \nL 330.525621 124.203653 \nL 335.558156 124.74061 \nL 339.354125 125.349286 \nL 342.777422 126.108677 \nL 345.819334 127.021987 \nL 347.973425 127.865152 \nL 349.875934 128.809336 \nL 351.524673 129.855099 \nL 352.918079 131.00265 \nL 354.055327 132.251826 \nL 354.936215 133.602067 \nL 355.561242 135.05243 \nL 355.931558 136.601566 \nL 356.048951 138.247717 \nL 355.91583 139.988712 \nL 355.535197 141.821971 \nL 354.910667 143.744502 \nL 354.046374 145.752907 \nL 352.635992 148.378352 \nL 350.868465 151.123739 \nL 348.755027 153.979874 \nL 346.3079 156.936686 \nL 342.949293 160.602351 \nL 339.152879 164.376963 \nL 334.943795 168.238801 \nL 330.347978 172.164883 \nL 325.391993 176.131168 \nL 320.102665 180.112771 \nL 314.506876 184.08417 \nL 308.631241 188.019452 \nL 302.501926 191.89255 \nL 296.144444 195.677479 \nL 289.5835 199.348582 \nL 282.842832 202.880781 \nL 275.945138 206.249833 \nL 268.911997 209.432515 \nL 261.763837 212.406903 \nL 254.51994 215.15258 \nL 247.198455 217.650816 \nL 241.050318 219.531451 \nL 234.869554 221.219864 \nL 228.665102 222.708463 \nL 222.445512 223.990744 \nL 216.218999 225.06137 \nL 209.993506 225.916181 \nL 203.776763 226.55226 \nL 197.576349 226.967901 \nL 191.399762 227.162663 \nL 185.254473 227.137345 \nL 179.148006 226.894012 \nL 173.087985 226.435927 \nL 167.082199 225.767557 \nL 161.138666 224.894541 \nL 155.265657 223.823625 \nL 149.471783 222.562615 \nL 143.765979 221.120345 \nL 138.15759 219.506564 \nL 131.569841 217.358643 \nL 125.154042 214.998892 \nL 118.928692 212.448541 \nL 112.91315 209.729992 \nL 107.127594 206.866591 \nL 101.592922 203.882374 \nL 96.330654 200.801822 \nL 91.362809 197.649623 \nL 86.711721 194.450384 \nL 82.399894 191.228417 \nL 78.449737 188.007488 \nL 74.883373 184.810587 \nL 71.722387 181.659705 \nL 68.987644 178.575648 \nL 67.048604 176.070698 \nL 65.430127 173.636085 \nL 64.142296 171.281423 \nL 63.194372 169.015467 \nL 62.6864 167.271877 \nL 62.405158 165.593691 \nL 62.354051 163.984105 \nL 62.535996 162.445915 \nL 62.953466 160.981512 \nL 63.608396 159.59288 \nL 64.502233 158.281599 \nL 65.635876 157.048844 \nL 67.009695 155.895393 \nL 68.62349 154.821633 \nL 70.47652 153.82757 \nL 73.127166 152.696478 \nL 76.145719 151.687838 \nL 79.526998 150.799347 \nL 83.264504 150.027949 \nL 88.208609 149.251502 \nL 93.638372 148.630563 \nL 100.562137 148.09092 \nL 108.088235 147.735477 \nL 117.378699 147.533308 \nL 128.63474 147.534685 \nL 142.026484 147.77599 \nL 159.130217 148.330111 \nL 180.175221 149.241945 \nL 209.860408 150.767071 \nL 242.938985 152.679262 \nL 268.933862 154.383712 \nL 287.830676 155.829275 \nL 302.899065 157.197588 \nL 314.470673 158.450098 \nL 324.109352 159.687868 \nL 333.082055 161.063324 \nL 340.348591 162.394927 \nL 347.039526 163.858713 \nL 352.297777 165.226827 \nL 357.101985 166.705895 \nL 361.44138 168.300735 \nL 364.696303 169.720848 \nL 367.618878 171.22526 \nL 370.206579 172.814635 \nL 372.458021 174.488889 \nL 374.016872 175.888844 \nL 375.360682 177.341752 \nL 376.490256 178.846441 \nL 377.406819 180.401387 \nL 378.11202 182.004721 \nL 378.607889 183.654216 \nL 378.896847 185.347286 \nL 378.981652 187.080996 \nL 378.865432 188.852068 \nL 378.551614 190.65688 \nL 378.043948 192.491485 \nL 377.14286 194.820111 \nL 375.95348 197.179601 \nL 374.484687 199.560267 \nL 372.745763 201.951766 \nL 370.746389 204.343194 \nL 368.49648 206.723109 \nL 366.006173 209.079664 \nL 362.71493 211.859439 \nL 359.110048 214.5663 \nL 355.209243 217.178246 \nL 351.029924 219.673119 \nL 346.589162 222.028861 \nL 341.903488 224.223726 \nL 336.988853 226.236516 \nL 332.729433 227.759992 \nL 328.330032 229.131532 \nL 323.798725 230.340377 \nL 319.143187 231.376457 \nL 314.370732 232.230401 \nL 309.488336 232.893658 \nL 304.502606 233.358516 \nL 299.419836 233.618219 \nL 294.246062 233.666988 \nL 288.987061 233.50006 \nL 283.64844 233.113739 \nL 278.235636 232.505444 \nL 272.754021 231.673714 \nL 267.208932 230.618209 \nL 261.605739 229.339743 \nL 255.949916 227.840265 \nL 250.247112 226.122881 \nL 244.503192 224.191803 \nL 237.564926 221.599955 \nL 230.587721 218.719217 \nL 223.583845 215.562838 \nL 216.566613 212.146054 \nL 209.550512 208.485929 \nL 202.551312 204.601228 \nL 194.429884 199.81237 \nL 186.384538 194.780008 \nL 178.447688 189.54075 \nL 170.654461 184.132883 \nL 163.042639 178.595944 \nL 155.652447 172.970285 \nL 148.526326 167.296625 \nL 141.708532 161.615615 \nL 135.24475 155.967418 \nL 129.181542 150.391275 \nL 123.565807 144.925107 \nL 118.444049 139.605138 \nL 114.481651 135.187485 \nL 110.943214 130.922522 \nL 107.855046 126.828959 \nL 105.643359 123.561022 \nL 103.774717 120.433137 \nL 102.261202 117.453536 \nL 101.113711 114.629603 \nL 100.465695 112.48694 \nL 100.062273 110.451011 \nL 99.907007 108.524362 \nL 100.002836 106.709173 \nL 100.351981 105.007275 \nL 100.955983 103.420112 \nL 101.815625 101.948792 \nL 102.930961 100.594066 \nL 104.301282 99.356346 \nL 105.925149 98.235718 \nL 107.800324 97.23195 \nL 109.923834 96.344519 \nL 112.291929 95.572612 \nL 115.589112 94.768529 \nL 119.251094 94.14064 \nL 123.265793 93.685784 \nL 127.61952 93.400348 \nL 133.269851 93.275772 \nL 139.357107 93.381823 \nL 145.849328 93.710464 \nL 153.889349 94.364058 \nL 162.375236 95.295796 \nL 171.245314 96.492276 \nL 180.435348 97.940527 \nL 191.245265 99.888216 \nL 202.286645 102.1318 \nL 213.459012 104.656251 \nL 223.264086 107.0853 \nL 233.028177 109.712072 \nL 242.688199 112.530434 \nL 252.183723 115.535367 \nL 261.457486 118.722805 \nL 269.189206 121.597649 \nL 276.687192 124.602411 \nL 283.922456 127.735483 \nL 290.868514 130.995278 \nL 297.501551 134.380067 \nL 302.774653 137.294769 \nL 307.804947 140.293495 \nL 312.583058 143.374577 \nL 317.100983 146.536009 \nL 321.352105 149.775397 \nL 325.33114 153.089897 \nL 329.034155 156.476164 \nL 332.458487 159.930313 \nL 335.602794 163.44787 \nL 338.466905 167.023748 \nL 341.051837 170.652207 \nL 343.359713 174.326842 \nL 345.393715 178.040567 \nL 347.157976 181.785615 \nL 348.657528 185.553535 \nL 349.898226 189.335198 \nL 350.886614 193.120828 \nL 351.629921 196.900017 \nL 352.135927 200.661773 \nL 352.412823 204.39455 \nL 352.469205 208.08631 \nL 352.31396 211.724586 \nL 351.956149 215.296523 \nL 351.404966 218.788964 \nL 350.669597 222.18853 \nL 349.759207 225.481692 \nL 348.682833 228.654869 \nL 347.449301 231.694509 \nL 346.067206 234.587159 \nL 344.544812 237.319621 \nL 342.890015 239.878979 \nL 341.110343 242.252713 \nL 339.212812 244.428796 \nL 337.20401 246.395814 \nL 335.090033 248.142991 \nL 332.876401 249.660324 \nL 330.568124 250.9386 \nL 328.169714 251.969542 \nL 325.685125 252.745828 \nL 323.117793 253.261158 \nL 320.470646 253.510293 \nL 317.746177 253.4891 \nL 314.946364 253.194607 \nL 312.072792 252.624987 \nL 309.126645 251.779569 \nL 306.108779 250.658891 \nL 303.019761 249.264656 \nL 299.859916 247.599686 \nL 296.629373 245.667965 \nL 292.659396 243.005 \nL 288.587502 239.976011 \nL 284.413584 236.593831 \nL 279.415197 232.221319 \nL 274.278788 227.414663 \nL 268.241884 221.42751 \nL 262.031786 214.959561 \nL 254.848147 207.172515 \nL 245.808411 197.03008 \nL 234.815297 184.347422 \nL 220.10456 167.018404 \nL 201.877716 145.205312 \nL 186.803916 126.844856 \nL 176.616549 114.116178 \nL 168.679504 103.853828 \nL 162.775757 95.879814 \nL 158.052982 89.154449 \nL 154.376371 83.575367 \nL 151.166017 78.301046 \nL 148.812816 74.035254 \nL 146.849412 70.014554 \nL 145.524416 66.856938 \nL 144.4924 63.879018 \nL 143.76146 61.084222 \nL 143.338298 58.475431 \nL 143.224938 56.523945 \nL 143.313892 54.694022 \nL 143.606464 52.986417 \nL 144.10329 51.401719 \nL 144.804306 49.940311 \nL 145.708766 48.602416 \nL 146.815228 47.388084 \nL 148.12153 46.297183 \nL 149.624813 45.329446 \nL 151.321541 44.484484 \nL 153.207476 43.761766 \nL 155.823442 43.029302 \nL 158.716346 42.485383 \nL 161.873665 42.128365 \nL 165.281454 41.956422 \nL 168.924404 41.967637 \nL 173.582953 42.220002 \nL 178.525474 42.729629 \nL 183.719178 43.492965 \nL 189.129545 44.506507 \nL 194.720686 45.766902 \nL 200.455671 47.270987 \nL 206.296917 49.015823 \nL 212.206545 50.998704 \nL 218.146738 53.217198 \nL 224.080097 55.669088 \nL 229.969992 58.352358 \nL 235.780885 61.265139 \nL 241.478641 64.405638 \nL 246.116886 67.195361 \nL 250.636254 70.140874 \nL 255.020035 73.240979 \nL 259.252638 76.494358 \nL 263.319675 79.899474 \nL 267.208028 83.454551 \nL 270.905864 87.157518 \nL 274.402713 91.005927 \nL 277.68949 94.996916 \nL 280.758484 99.127162 \nL 283.60341 103.392801 \nL 286.219339 107.789403 \nL 288.602729 112.311906 \nL 290.75137 116.954576 \nL 292.664348 121.710969 \nL 294.341987 126.573893 \nL 295.785813 131.535379 \nL 296.998463 136.586657 \nL 297.983616 141.718145 \nL 298.745917 146.91943 \nL 299.290896 152.179278 \nL 299.624851 157.485631 \nL 299.754779 162.825629 \nL 299.688288 168.185634 \nL 299.360664 174.623749 \nL 298.776634 181.043744 \nL 297.951567 187.41811 \nL 296.901206 193.718178 \nL 295.641466 199.914284 \nL 294.188212 205.975997 \nL 292.557114 211.872343 \nL 290.763415 217.572046 \nL 288.821833 223.043798 \nL 286.746396 228.256578 \nL 284.550368 233.179891 \nL 282.246123 237.784106 \nL 279.845113 242.040775 \nL 277.777931 245.30297 \nL 275.656371 248.290345 \nL 273.485463 250.989146 \nL 271.269775 253.386705 \nL 269.013397 255.47155 \nL 266.719976 257.233445 \nL 264.860731 258.404436 \nL 262.981286 259.359164 \nL 261.082937 260.094334 \nL 259.16684 260.607298 \nL 257.234021 260.896039 \nL 255.285376 260.959178 \nL 253.321705 260.795993 \nL 251.343709 260.406434 \nL 249.352019 259.791092 \nL 247.347199 258.951219 \nL 245.329776 257.888708 \nL 243.300243 256.60609 \nL 240.747032 254.698161 \nL 238.176616 252.458764 \nL 235.590016 249.896767 \nL 232.988365 247.022413 \nL 229.848352 243.177068 \nL 226.691182 238.920423 \nL 223.520045 234.27662 \nL 219.807895 228.404231 \nL 216.089386 222.084234 \nL 211.84344 214.372683 \nL 207.617059 206.208684 \nL 203.429478 197.665681 \nL 198.79292 187.693946 \nL 194.270837 177.440837 \nL 189.905033 167.008528 \nL 185.741804 156.495238 \nL 181.831243 145.993999 \nL 178.610062 136.740028 \nL 175.668688 127.620677 \nL 173.354935 119.792463 \nL 171.310659 112.138639 \nL 169.560762 104.687932 \nL 168.31313 98.48294 \nL 167.313136 92.460802 \nL 166.573582 86.634581 \nL 166.105924 81.015852 \nL 165.931104 76.499446 \nL 165.956827 72.139353 \nL 166.186977 67.940061 \nL 166.624467 63.905474 \nL 167.271157 60.038919 \nL 168.127803 56.343195 \nL 169.194045 52.8206 \nL 170.46833 49.472962 \nL 171.94792 46.301699 \nL 173.628851 43.307832 \nL 175.505944 40.492067 \nL 177.572825 37.854795 \nL 179.821907 35.39618 \nL 182.244453 33.116133 \nL 184.830595 31.014412 \nL 187.569386 29.090669 \nL 190.448867 27.344413 \nL 193.456128 25.775131 \nL 196.577381 24.382265 \nL 199.798053 23.165261 \nL 203.102874 22.123619 \nL 207.157363 21.104481 \nL 211.281824 20.336546 \nL 215.447179 19.819407 \nL 219.623883 19.552864 \nL 223.782218 19.536975 \nL 227.892583 19.772057 \nL 231.925781 20.258631 \nL 235.207249 20.856799 \nL 238.399333 21.630735 \nL 241.486621 22.581064 \nL 244.454381 23.708466 \nL 247.288656 25.013663 \nL 249.976351 26.497385 \nL 252.505313 28.160313 \nL 254.864412 30.00307 \nL 257.043601 32.026228 \nL 259.033959 34.230187 \nL 260.827754 36.615186 \nL 262.418455 39.181275 \nL 263.800773 41.928256 \nL 264.970661 44.855639 \nL 265.925319 47.962643 \nL 266.663193 51.248105 \nL 267.183918 54.710467 \nL 267.488334 58.347776 \nL 267.578408 62.157575 \nL 267.457226 66.136934 \nL 267.128874 70.282392 \nL 266.468601 75.470472 \nL 265.527816 80.883829 \nL 264.318612 86.513101 \nL 262.85456 92.347603 \nL 260.844172 99.397727 \nL 258.532242 106.689076 \nL 255.554863 115.286107 \nL 252.259226 124.125705 \nL 248.222839 134.303582 \nL 243.398173 145.817838 \nL 238.290506 157.443623 \nL 232.431394 170.219717 \nL 226.4043 182.818869 \nL 220.843193 193.968828 \nL 215.253762 204.685971 \nL 210.231675 213.84513 \nL 205.793689 221.514407 \nL 201.393535 228.666665 \nL 197.582181 234.448214 \nL 193.812286 239.740531 \nL 190.616817 243.857566 \nL 187.456354 247.563584 \nL 184.850367 250.3231 \nL 182.270279 252.772284 \nL 179.716641 254.901772 \nL 177.189975 256.703521 \nL 174.690818 258.170882 \nL 172.711709 259.100466 \nL 170.750961 259.810708 \nL 168.80902 260.300254 \nL 166.886402 260.568382 \nL 164.983713 260.615027 \nL 163.101689 260.440735 \nL 161.241197 260.046702 \nL 159.403214 259.434747 \nL 157.588892 258.607333 \nL 155.799553 257.567501 \nL 154.036671 256.31891 \nL 151.87283 254.471081 \nL 149.756613 252.313136 \nL 147.692179 249.855801 \nL 145.684174 247.110986 \nL 143.737746 244.09166 \nL 141.85855 240.811767 \nL 139.70094 236.552906 \nL 137.660569 231.967286 \nL 135.749905 227.083238 \nL 133.982346 221.930064 \nL 132.372045 216.537751 \nL 130.933843 210.936662 \nL 129.683124 205.15728 \nL 128.635649 199.229917 \nL 127.807363 193.184448 \nL 127.21428 187.050093 \nL 126.872165 180.855193 \nL 126.789907 175.666246 \nL 126.901169 170.469352 \nL 127.214142 165.278993 \nL 127.736479 160.108948 \nL 128.475257 154.972253 \nL 129.436817 149.881175 \nL 130.626757 144.847188 \nL 132.049781 139.880958 \nL 133.709603 134.99235 \nL 135.60892 130.19042 \nL 137.749274 125.483431 \nL 140.131025 120.878886 \nL 142.753264 116.383529 \nL 145.613787 112.003408 \nL 148.709032 107.743888 \nL 152.034046 103.609707 \nL 155.582457 99.605029 \nL 159.346489 95.733489 \nL 163.316946 91.998235 \nL 167.483205 88.402008 \nL 171.833291 84.94718 \nL 176.353859 81.635826 \nL 181.030278 78.469743 \nL 185.846677 75.450574 \nL 190.786017 72.579789 \nL 196.849929 69.332703 \nL 203.031568 66.303606 \nL 209.29597 63.494856 \nL 215.606666 60.908868 \nL 221.925993 58.548241 \nL 228.215417 56.415781 \nL 234.435889 54.514542 \nL 240.548196 52.847853 \nL 246.513342 51.419301 \nL 252.292902 50.232712 \nL 257.849423 49.292112 \nL 263.146757 48.601677 \nL 268.150452 48.16564 \nL 272.828055 47.988235 \nL 277.14949 48.073588 \nL 280.458713 48.34825 \nL 283.487117 48.810203 \nL 286.221844 49.461357 \nL 288.651616 50.303372 \nL 290.369342 51.115361 \nL 291.881551 52.050955 \nL 293.184814 53.110586 \nL 294.276415 54.294511 \nL 295.154375 55.602803 \nL 295.817433 57.035374 \nL 296.26506 58.59193 \nL 296.497451 60.272 \nL 296.515505 62.074887 \nL 296.320813 63.999668 \nL 295.915657 66.045215 \nL 295.11776 68.769865 \nL 294.002721 71.677881 \nL 292.579073 74.76551 \nL 290.477353 78.701579 \nL 287.96497 82.881395 \nL 285.063609 87.295127 \nL 281.218721 92.725349 \nL 276.267598 99.277584 \nL 270.78362 106.167869 \nL 264.059753 114.278516 \nL 255.179597 124.62802 \nL 243.968837 137.331822 \nL 229.487082 153.381447 \nL 213.74686 170.501006 \nL 199.90938 185.254258 \nL 188.151622 197.474746 \nL 178.4644 207.218424 \nL 170.75502 214.679524 \nL 164.083227 220.862116 \nL 157.591973 226.571851 \nL 152.065493 231.145327 \nL 146.685251 235.296388 \nL 142.191442 238.500184 \nL 137.807225 241.363141 \nL 133.533171 243.874119 \nL 129.369818 246.024012 \nL 125.985378 247.534638 \nL 122.678798 248.786715 \nL 119.450754 249.778425 \nL 116.30222 250.509071 \nL 113.234442 250.979052 \nL 110.249027 251.189844 \nL 107.347909 251.144038 \nL 104.533488 250.84532 \nL 101.808575 250.298412 \nL 99.176479 249.509027 \nL 96.640985 248.483854 \nL 94.206404 247.230515 \nL 91.877525 245.757493 \nL 89.659654 244.07407 \nL 87.558605 242.190213 \nL 85.58071 240.116584 \nL 83.732722 237.86437 \nL 82.021861 235.44527 \nL 80.455728 232.871385 \nL 79.042313 230.155111 \nL 77.789934 227.309055 \nL 76.707155 224.345981 \nL 75.802747 221.278682 \nL 75.085644 218.119916 \nL 74.564829 214.88231 \nL 74.249298 211.578302 \nL 74.147972 208.220046 \nL 74.269604 204.819346 \nL 74.622712 201.387596 \nL 75.215488 197.935727 \nL 76.055735 194.474142 \nL 77.150723 191.012686 \nL 78.507154 187.560598 \nL 80.131075 184.126481 \nL 82.027802 180.718296 \nL 84.201774 177.343325 \nL 86.656597 174.008188 \nL 89.394871 170.718835 \nL 92.418169 167.48055 \nL 95.72699 164.297978 \nL 99.320667 161.175144 \nL 103.197362 158.11549 \nL 107.353997 155.121903 \nL 111.786229 152.196769 \nL 116.488456 149.342015 \nL 121.453754 146.559162 \nL 127.747736 143.316284 \nL 134.391941 140.180116 \nL 141.367009 137.151707 \nL 148.650933 134.231826 \nL 156.219137 131.421103 \nL 165.371792 128.280788 \nL 174.827467 125.291325 \nL 184.535126 122.454691 \nL 194.440037 119.77374 \nL 205.926914 116.905553 \nL 217.504535 114.253845 \nL 229.078107 111.828934 \nL 240.550178 109.643612 \nL 251.821849 107.713103 \nL 262.794072 106.054852 \nL 273.368958 104.688223 \nL 282.221019 103.747984 \nL 290.634426 103.061479 \nL 298.550797 102.643456 \nL 304.899126 102.509878 \nL 310.810192 102.593093 \nL 316.254806 102.901478 \nL 320.4166 103.336016 \nL 324.22259 103.936247 \nL 327.660833 104.705659 \nL 330.721064 105.647185 \nL 332.891295 106.525895 \nL 334.810547 107.517099 \nL 336.475998 108.621357 \nL 337.885576 109.838897 \nL 339.03796 111.169632 \nL 339.932558 112.613114 \nL 340.569508 114.168542 \nL 340.949676 115.834737 \nL 341.074658 117.61015 \nL 340.946716 119.492848 \nL 340.5688 121.480519 \nL 339.944471 123.570455 \nL 339.077937 125.759568 \nL 337.661488 128.630107 \nL 335.884585 131.642564 \nL 333.758971 134.788446 \nL 331.297467 138.058402 \nL 327.919739 142.131744 \nL 324.103591 146.350003 \nL 319.875755 150.692646 \nL 315.263998 155.137804 \nL 309.436373 160.4226 \nL 303.170809 165.777267 \nL 296.513169 171.162106 \nL 289.508774 176.53642 \nL 282.201829 181.858973 \nL 274.635009 187.088444 \nL 266.849043 192.183914 \nL 258.882451 197.105334 \nL 251.937606 201.155764 \nL 244.907867 205.026507 \nL 237.813102 208.695402 \nL 230.671812 212.141671 \nL 223.501176 215.34611 \nL 216.317124 218.291257 \nL 209.134428 220.961543 \nL 203.159824 222.967012 \nL 197.203178 224.765532 \nL 191.271572 226.351512 \nL 185.371773 227.720503 \nL 179.510297 228.869223 \nL 173.693467 229.795544 \nL 167.927487 230.498539 \nL 162.218507 230.978464 \nL 156.572684 231.236756 \nL 150.996259 231.276021 \nL 145.49557 231.10001 \nL 140.077165 230.713598 \nL 134.747808 230.122711 \nL 129.514535 229.334314 \nL 124.384701 228.356325 \nL 119.366002 227.197611 \nL 114.466483 225.86781 \nL 109.694556 224.377372 \nL 104.149113 222.392511 \nL 98.816057 220.212705 \nL 93.712067 217.859292 \nL 88.854522 215.354386 \nL 84.261443 212.720667 \nL 79.951307 209.981103 \nL 75.943003 207.158743 \nL 72.255632 204.276457 \nL 68.908357 201.356728 \nL 65.920193 198.421401 \nL 63.717892 195.978568 \nL 61.788504 193.551141 \nL 60.142227 191.150175 \nL 58.788819 188.786084 \nL 57.737528 186.468582 \nL 56.996969 184.206625 \nL 56.633619 182.442561 \nL 56.47793 180.723073 \nL 56.533286 179.051595 \nL 56.802699 177.4312 \nL 57.288791 175.864592 \nL 57.99376 174.354101 \nL 58.919424 172.901677 \nL 60.067115 171.508903 \nL 61.437753 170.176988 \nL 63.03176 168.906774 \nL 64.849094 167.698745 \nL 67.433973 166.276329 \nL 70.364856 164.95079 \nL 73.638457 163.720866 \nL 77.250273 162.584569 \nL 82.022855 161.3408 \nL 87.26227 160.222211 \nL 92.954121 159.221928 \nL 100.14416 158.194003 \nL 107.897168 157.30283 \nL 117.403455 156.433105 \nL 128.853691 155.61747 \nL 142.410711 154.876107 \nL 159.658051 154.159662 \nL 183.909085 153.399304 \nL 218.52745 152.555926 \nL 256.1482 151.845163 \nL 280.080321 151.593448 \nL 296.973364 151.616045 \nL 310.156108 151.833624 \nL 321.205782 152.22633 \nL 330.304059 152.762106 \nL 337.659363 153.395297 \nL 344.413456 154.198283 \nL 349.701261 155.032552 \nL 354.508799 156.010042 \nL 358.822137 157.137578 \nL 362.030795 158.195828 \nL 364.883131 159.364538 \nL 367.375214 160.645344 \nL 369.107701 161.751272 \nL 370.6072 162.929497 \nL 371.873468 164.179669 \nL 372.906821 165.501059 \nL 373.708063 166.892554 \nL 374.278516 168.352652 \nL 374.619965 169.879452 \nL 374.734673 171.470659 \nL 374.625345 173.123587 \nL 374.295153 174.835159 \nL 373.747638 176.601906 \nL 372.986742 178.419998 \nL 371.742101 180.758378 \nL 370.179868 183.161409 \nL 368.309831 185.619301 \nL 366.142433 188.121511 \nL 363.688614 190.656789 \nL 360.382024 193.72601 \nL 356.699684 196.804167 \nL 352.662354 199.868752 \nL 348.290996 202.896533 \nL 343.606633 205.863769 \nL 338.630162 208.74645 \nL 333.38208 211.520539 \nL 327.882458 214.162231 \nL 322.150747 216.64819 \nL 316.205697 218.955797 \nL 310.065268 221.063382 \nL 304.81142 222.652102 \nL 299.443313 224.076574 \nL 293.970043 225.32646 \nL 288.400325 226.392279 \nL 282.742521 227.265465 \nL 277.004631 227.938418 \nL 271.194373 228.404605 \nL 265.319219 228.658605 \nL 259.386436 228.69611 \nL 253.403138 228.51399 \nL 247.376344 228.110369 \nL 241.313053 227.484525 \nL 235.22029 226.637015 \nL 229.105189 225.569606 \nL 222.975042 224.285279 \nL 216.837376 222.788229 \nL 210.700007 221.08382 \nL 204.571105 219.178559 \nL 198.459251 217.08003 \nL 191.160294 214.31892 \nL 183.915509 211.308783 \nL 176.742623 208.068284 \nL 169.660555 204.61776 \nL 162.689483 200.979082 \nL 155.850818 197.175396 \nL 149.167229 193.230923 \nL 141.597566 188.484574 \nL 134.311185 183.621563 \nL 127.349557 178.683347 \nL 120.75554 173.711493 \nL 114.572978 168.747186 \nL 108.846118 163.830724 \nL 104.333552 159.684258 \nL 100.215593 155.625073 \nL 96.518899 151.675486 \nL 93.26907 147.856469 \nL 90.919791 144.787786 \nL 88.91084 141.833711 \nL 87.254458 139.00379 \nL 85.961755 136.30667 \nL 85.196187 134.249817 \nL 84.674294 132.286438 \nL 84.400008 130.419651 \nL 84.376701 128.652173 \nL 84.607099 126.986325 \nL 85.093307 125.424014 \nL 85.836752 123.966754 \nL 86.838172 122.61566 \nL 88.097611 121.37146 \nL 89.614435 120.23451 \nL 91.387268 119.204793 \nL 93.414041 118.281937 \nL 95.69195 117.465241 \nL 98.887131 116.592059 \nL 102.460883 115.880468 \nL 106.40324 115.327148 \nL 110.702615 114.928168 \nL 116.314555 114.646819 \nL 122.396256 114.572752 \nL 128.919538 114.696693 \nL 137.047032 115.078465 \nL 145.681035 115.700291 \nL 156.09647 116.683982 \nL 167.011415 117.935951 \nL 179.772819 119.636638 \nL 192.914538 121.617904 \nL 206.299822 123.853351 \nL 219.792349 126.320835 \nL 233.258251 129.002867 \nL 246.567977 131.886687 \nL 258.167705 134.612747 \nL 269.464512 137.488671 \nL 280.382032 140.513607 \nL 289.568348 143.283295 \nL 298.367504 146.169006 \nL 306.74075 149.172393 \nL 313.552651 151.84165 \nL 320.007248 154.599445 \nL 326.087987 157.446289 \nL 331.780779 160.382186 \nL 336.22004 162.896344 \nL 340.376464 165.4711 \nL 344.245897 168.10521 \nL 347.825326 170.796936 \nL 351.112911 173.544 \nL 354.107934 176.34355 \nL 356.810734 179.192119 \nL 359.222684 182.08561 \nL 361.346153 185.019264 \nL 363.184427 187.987657 \nL 364.74166 190.98469 \nL 366.022778 194.003602 \nL 367.033459 197.036961 \nL 367.780021 200.076701 \nL 368.269379 203.114144 \nL 368.508931 206.140021 \nL 368.50649 209.144525 \nL 368.270246 212.117357 \nL 367.808624 215.047769 \nL 367.130218 217.924639 \nL 366.243759 220.736511 \nL 365.158009 223.471696 \nL 363.881679 226.118315 \nL 362.423393 228.664416 \nL 360.791566 231.09801 \nL 358.994442 233.407169 \nL 357.039949 235.580123 \nL 354.93575 237.605332 \nL 352.689076 239.471548 \nL 350.306796 241.167963 \nL 347.795338 242.684226 \nL 345.160705 244.010532 \nL 342.408427 245.137718 \nL 339.543565 246.057308 \nL 336.570696 246.761597 \nL 333.493965 247.243698 \nL 330.317071 247.497606 \nL 327.043269 247.518235 \nL 323.675382 247.301449 \nL 320.215883 246.844136 \nL 316.666875 246.144146 \nL 313.030209 245.200384 \nL 309.30748 244.012807 \nL 305.500036 242.582378 \nL 301.60912 240.911116 \nL 296.831433 238.592036 \nL 291.937108 235.93768 \nL 286.928177 232.957137 \nL 281.806937 229.661405 \nL 275.693879 225.435173 \nL 269.437088 220.820564 \nL 263.043439 215.843547 \nL 255.580073 209.748383 \nL 247.00441 202.427391 \nL 238.267821 194.68276 \nL 228.417793 185.670661 \nL 216.487774 174.434276 \nL 203.578989 161.945788 \nL 190.890831 149.358878 \nL 179.585441 137.852547 \nL 169.752923 127.552815 \nL 161.407434 118.504774 \nL 154.49592 110.69392 \nL 148.912461 104.065164 \nL 144.515221 98.538927 \nL 140.619469 93.292706 \nL 137.710561 89.034738 \nL 135.224149 85.009713 \nL 133.490636 81.841115 \nL 132.076936 78.846991 \nL 130.993025 76.032098 \nL 130.247451 73.400545 \nL 129.899369 71.429651 \nL 129.775212 69.579788 \nL 129.877145 67.852177 \nL 130.206629 66.247797 \nL 130.764418 64.767379 \nL 131.550498 63.411404 \nL 132.564132 62.180138 \nL 133.8038 61.073638 \nL 135.267254 60.091723 \nL 136.951478 59.234044 \nL 138.852713 58.500053 \nL 140.966467 57.889043 \nL 143.899518 57.296894 \nL 147.144727 56.893573 \nL 150.688761 56.676804 \nL 154.516722 56.644072 \nL 159.461952 56.843898 \nL 164.761681 57.299916 \nL 170.382674 58.006987 \nL 176.289542 58.959955 \nL 182.445105 60.153675 \nL 189.889339 61.843964 \nL 197.556374 63.847515 \nL 205.381976 66.157181 \nL 212.166887 68.37555 \nL 218.980439 70.810182 \nL 225.782843 73.457582 \nL 232.535278 76.314529 \nL 239.200216 79.378018 \nL 245.741739 82.645193 \nL 252.125803 86.113249 \nL 257.302489 89.154698 \nL 262.33041 92.331963 \nL 267.193558 95.643193 \nL 271.877223 99.086349 \nL 276.368025 102.659154 \nL 280.653955 106.359041 \nL 284.724443 110.183085 \nL 288.570331 114.127945 \nL 292.183917 118.189814 \nL 295.558939 122.364356 \nL 298.690551 126.64668 \nL 301.575322 131.031258 \nL 304.211165 135.511914 \nL 306.597334 140.081762 \nL 308.734322 144.733195 \nL 310.62385 149.457851 \nL 312.268711 154.246601 \nL 313.672792 159.089538 \nL 314.840947 163.975977 \nL 315.778894 168.894465 \nL 316.493133 173.832798 \nL 316.990831 178.778043 \nL 317.279799 183.716577 \nL 317.368303 188.634129 \nL 317.265 193.515832 \nL 316.900508 199.304847 \nL 316.288673 204.992576 \nL 315.445531 210.550785 \nL 314.387179 215.950707 \nL 313.129516 221.163254 \nL 311.688047 226.159306 \nL 310.077741 230.909955 \nL 308.312909 235.38678 \nL 306.406996 239.562172 \nL 304.372593 243.409567 \nL 302.587513 246.346945 \nL 300.727444 249.025266 \nL 298.79805 251.431716 \nL 296.804452 253.554406 \nL 294.75126 255.382611 \nL 292.642547 256.90671 \nL 290.91803 257.901392 \nL 289.161887 258.692437 \nL 287.375518 259.276742 \nL 285.56015 259.651765 \nL 283.716829 259.815572 \nL 281.846427 259.766828 \nL 279.949668 259.504792 \nL 278.027145 259.029341 \nL 276.079311 258.340957 \nL 274.106494 257.440725 \nL 271.605728 256.020142 \nL 269.066623 254.275804 \nL 266.48934 252.213655 \nL 263.873945 249.841033 \nL 261.220466 247.166488 \nL 257.98608 243.572395 \nL 254.697131 239.576749 \nL 250.79177 234.435969 \nL 246.814408 228.814302 \nL 242.184119 221.851788 \nL 236.874515 213.409002 \nL 230.865635 203.381468 \nL 224.152788 191.719167 \nL 216.143098 177.320756 \nL 207.537868 161.385179 \nL 199.11453 145.341152 \nL 191.628755 130.624721 \nL 185.684178 118.484158 \nL 180.694775 107.806026 \nL 176.619744 98.55797 \nL 173.383353 90.669699 \nL 170.886397 84.050535 \nL 168.732101 77.715497 \nL 167.178615 72.524188 \nL 165.911951 67.562888 \nL 164.945946 62.83946 \nL 164.37933 59.089877 \nL 164.035804 55.513499 \nL 163.920192 52.113131 \nL 164.036248 48.891123 \nL 164.386523 45.849375 \nL 164.972339 42.989348 \nL 165.79375 40.312147 \nL 166.619694 38.302519 \nL 167.594388 36.410603 \nL 168.716034 34.636505 \nL 169.98227 32.980226 \nL 171.390205 31.441666 \nL 172.936408 30.020635 \nL 175.057506 28.409224 \nL 177.379543 26.980406 \nL 179.892423 25.733409 \nL 182.584882 24.667387 \nL 185.444568 23.781442 \nL 188.4581 23.074645 \nL 191.611174 22.546083 \nL 194.888638 22.194885 \nL 198.963376 22.006414 \nL 203.165684 22.070873 \nL 207.465895 22.38719 \nL 211.8336 22.95451 \nL 216.237954 23.772227 \nL 220.647976 24.840002 \nL 225.032856 26.157708 \nL 229.362252 27.725446 \nL 232.906327 29.22309 \nL 236.374734 30.894792 \nL 239.751505 32.74082 \nL 243.021385 34.761455 \nL 246.169917 36.956954 \nL 249.183536 39.327501 \nL 252.049648 41.87322 \nL 254.756702 44.594068 \nL 257.294234 47.489823 \nL 259.652926 50.560053 \nL 261.824642 53.804051 \nL 263.802458 57.220781 \nL 265.580662 60.808863 \nL 267.154802 64.566506 \nL 268.521635 68.49146 \nL 269.679119 72.58096 \nL 270.626404 76.831718 \nL 271.363797 81.239851 \nL 271.892703 85.800859 \nL 272.215575 90.509582 \nL 272.335848 95.360164 \nL 272.257899 100.346031 \nL 271.986942 105.459864 \nL 271.415496 111.753933 \nL 270.586396 118.205113 \nL 269.51248 124.79629 \nL 268.207589 131.508684 \nL 266.412801 139.465671 \nL 264.347643 147.524543 \nL 262.036802 155.647173 \nL 259.50511 163.792689 \nL 256.372803 173.074106 \nL 253.019728 182.260329 \nL 249.479837 191.279864 \nL 245.784913 200.058828 \nL 241.964159 208.521857 \nL 238.538586 215.608241 \nL 235.052713 222.34429 \nL 231.520562 228.680595 \nL 228.465531 233.75728 \nL 225.392303 238.476401 \nL 222.306779 242.810694 \nL 219.214075 246.73476 \nL 216.634541 249.674561 \nL 214.05532 252.301017 \nL 211.478381 254.603137 \nL 208.905478 256.571258 \nL 206.851134 257.89969 \nL 204.801151 259.005517 \nL 202.75625 259.885842 \nL 200.717137 260.53839 \nL 198.684517 260.96156 \nL 196.659111 261.154413 \nL 194.641668 261.116701 \nL 192.632992 260.848822 \nL 190.633943 260.351871 \nL 188.645459 259.627592 \nL 186.668573 258.678383 \nL 184.704421 257.507326 \nL 182.754267 256.118096 \nL 180.33839 254.081332 \nL 177.949607 251.720074 \nL 175.591333 249.045347 \nL 173.267403 246.069394 \nL 170.982079 242.805647 \nL 168.297322 238.529728 \nL 165.683989 233.887053 \nL 163.152072 228.90603 \nL 160.712512 223.616423 \nL 158.37718 218.049016 \nL 156.158834 212.235313 \nL 154.07104 206.20724 \nL 152.128079 199.996839 \nL 150.344818 193.636021 \nL 148.73661 187.156255 \nL 147.319093 180.588367 \nL 146.10805 173.962297 \nL 145.119192 167.306907 \nL 144.367968 160.649809 \nL 143.869361 154.017216 \nL 143.657132 148.526643 \nL 143.638016 143.08371 \nL 143.819216 137.701057 \nL 144.207311 132.390491 \nL 144.808143 127.162993 \nL 145.626725 122.028697 \nL 146.667171 116.996912 \nL 147.932582 112.07611 \nL 149.42502 107.273965 \nL 151.145394 102.59738 \nL 153.093439 98.052498 \nL 155.267645 93.644751 \nL 157.665188 89.378897 \nL 160.281946 85.259073 \nL 163.112455 81.28882 \nL 166.149891 77.471176 \nL 169.386084 73.808689 \nL 172.811526 70.303453 \nL 176.415385 66.957225 \nL 180.185566 63.771451 \nL 184.108732 60.74731 \nL 188.170392 57.885764 \nL 192.354941 55.187619 \nL 196.645757 52.653572 \nL 201.910248 49.830212 \nL 207.270585 47.245096 \nL 212.693454 44.899312 \nL 218.144396 42.794038 \nL 223.588118 40.930611 \nL 228.988821 39.310583 \nL 234.310548 37.93574 \nL 239.51752 36.808106 \nL 244.574491 35.929931 \nL 249.447093 35.30368 \nL 254.102182 34.931969 \nL 258.508161 34.817562 \nL 262.635292 34.963265 \nL 265.841598 35.285384 \nL 268.820375 35.791633 \nL 271.558215 36.483504 \nL 274.043057 37.362351 \nL 275.841566 38.200871 \nL 277.466565 39.160373 \nL 278.913926 40.241296 \nL 280.180151 41.443981 \nL 281.262407 42.768653 \nL 282.158522 44.215401 \nL 282.866974 45.784202 \nL 283.386912 47.474865 \nL 283.718134 49.287057 \nL 283.861085 51.220263 \nL 283.816839 53.273804 \nL 283.500938 56.008624 \nL 282.899869 58.928004 \nL 282.019662 62.029363 \nL 280.867653 65.309629 \nL 279.138622 69.476986 \nL 277.047541 73.889568 \nL 274.61343 78.539008 \nL 271.367941 84.250113 \nL 267.167619 91.134238 \nL 261.883698 99.299678 \nL 255.417487 108.840235 \nL 246.990502 120.840145 \nL 235.718885 136.480522 \nL 218.405957 160.083949 \nL 201.005525 183.471131 \nL 189.454779 198.66649 \nL 180.515618 210.070079 \nL 173.309187 218.902441 \nL 167.027276 226.230597 \nL 161.61127 232.185665 \nL 157.003689 236.923629 \nL 152.519049 241.188318 \nL 148.77258 244.446295 \nL 145.115582 247.32138 \nL 142.136049 249.415389 \nL 139.218019 251.228204 \nL 136.361365 252.75466 \nL 133.566129 253.990841 \nL 130.832591 254.934014 \nL 128.161317 255.582736 \nL 126.069717 255.889539 \nL 124.019173 256.00823 \nL 122.010476 255.939828 \nL 120.044599 255.685845 \nL 118.122725 255.248339 \nL 116.246208 254.629825 \nL 114.416623 253.833317 \nL 112.198414 252.59277 \nL 110.060338 251.087416 \nL 108.006929 249.326127 \nL 106.043261 247.31874 \nL 104.174936 245.075974 \nL 102.408096 242.60939 \nL 100.74942 239.931268 \nL 99.206044 237.054506 \nL 97.7856 233.992569 \nL 96.496099 230.759338 \nL 95.345966 227.369048 \nL 94.343943 223.836143 \nL 93.498993 220.17525 \nL 92.820334 216.400997 \nL 92.317266 212.527971 \nL 91.999188 208.570622 \nL 91.875442 204.543149 \nL 91.955247 200.45946 \nL 92.247661 196.333058 \nL 92.761405 192.176999 \nL 93.504839 188.003827 \nL 94.485827 183.825513 \nL 95.711674 179.653414 \nL 97.189007 175.49824 \nL 98.923683 171.370025 \nL 100.920752 167.278104 \nL 103.184276 163.231105 \nL 105.717339 159.236945 \nL 108.521909 155.302837 \nL 111.598809 151.435304 \nL 114.947617 147.640197 \nL 118.566652 143.922728 \nL 122.452913 140.287501 \nL 126.602001 136.738556 \nL 131.008151 133.279416 \nL 135.66417 129.913133 \nL 140.561454 126.642344 \nL 145.689967 123.469332 \nL 151.03826 120.396076 \nL 156.593496 117.424332 \nL 163.512854 113.994437 \nL 170.682662 110.715487 \nL 178.073294 107.589901 \nL 185.652676 104.620136 \nL 193.386492 101.808825 \nL 202.555863 98.733125 \nL 211.82513 95.882338 \nL 221.130811 93.262581 \nL 230.407349 90.880944 \nL 239.587788 88.745491 \nL 248.604524 86.865308 \nL 257.390053 85.250382 \nL 265.877774 83.911482 \nL 274.002763 82.860028 \nL 281.702598 82.107774 \nL 287.919127 81.71013 \nL 293.744829 81.548423 \nL 299.147273 81.629758 \nL 303.304516 81.888033 \nL 307.131668 82.323314 \nL 310.614802 82.938806 \nL 313.741636 83.73734 \nL 315.979442 84.509525 \nL 317.977886 85.401297 \nL 319.733184 86.41337 \nL 321.242302 87.546213 \nL 322.502967 88.800009 \nL 323.513689 90.174658 \nL 324.27375 91.669769 \nL 324.783213 93.284641 \nL 325.04288 95.018258 \nL 325.054285 96.869267 \nL 324.819722 98.83599 \nL 324.342129 100.916414 \nL 323.625163 103.108186 \nL 322.673116 105.408617 \nL 321.159949 108.432289 \nL 319.297924 111.614311 \nL 317.099112 114.947223 \nL 314.034663 119.134233 \nL 310.529067 123.510941 \nL 306.608845 128.06018 \nL 301.548442 133.56087 \nL 296.007718 139.239457 \nL 290.03387 145.062208 \nL 282.737426 151.847642 \nL 275.008243 158.719505 \nL 266.915424 165.620515 \nL 258.525459 172.492207 \nL 249.901329 179.275635 \nL 241.101853 185.912132 \nL 232.181194 192.34404 \nL 224.315052 197.760141 \nL 216.423753 202.940894 \nL 208.534231 207.852279 \nL 200.670629 212.462471 \nL 193.967403 216.152098 \nL 187.311204 219.582172 \nL 180.712993 222.737667 \nL 174.182711 225.605376 \nL 167.729422 228.174056 \nL 161.361464 230.434479 \nL 156.125638 232.077509 \nL 150.958772 233.498566 \nL 145.865046 234.695764 \nL 140.848562 235.668298 \nL 135.913432 236.416443 \nL 131.063846 236.941552 \nL 126.304122 237.246048 \nL 121.638722 237.33336 \nL 117.072365 237.207945 \nL 112.610018 236.87525 \nL 108.256946 236.341633 \nL 104.01873 235.614332 \nL 99.901341 234.7014 \nL 95.911091 233.611669 \nL 92.054681 232.354653 \nL 88.339193 230.940478 \nL 84.772068 229.379812 \nL 81.361139 227.683787 \nL 77.485713 225.486096 \nL 73.861626 223.130496 \nL 70.50414 220.637764 \nL 67.428931 218.028865 \nL 65.093392 215.781142 \nL 62.974364 213.479251 \nL 61.081188 211.134956 \nL 59.423221 208.75974 \nL 58.009668 206.364713 \nL 56.849557 203.960559 \nL 55.95165 201.557459 \nL 55.324351 199.165039 \nL 54.97563 196.792304 \nL 54.902305 194.913927 \nL 55.015681 193.057448 \nL 55.319077 191.226533 \nL 55.815538 189.424516 \nL 56.507791 187.654428 \nL 57.398277 185.918976 \nL 58.489058 184.220542 \nL 59.781857 182.561185 \nL 61.278048 180.942639 \nL 63.435721 178.978967 \nL 65.913629 177.083307 \nL 68.711772 175.256976 \nL 71.829051 173.500568 \nL 75.263329 171.813997 \nL 79.011416 170.196534 \nL 83.917235 168.34491 \nL 89.259223 166.58759 \nL 95.025689 164.920332 \nL 102.271053 163.082267 \nL 110.049387 161.35085 \nL 119.55338 159.490072 \nL 129.664637 157.740584 \nL 141.695769 155.886783 \nL 155.774581 153.945849 \nL 173.475567 151.750851 \nL 194.922804 149.341244 \nL 219.961377 146.771099 \nL 244.918685 144.432356 \nL 266.146728 142.651712 \nL 283.521634 141.402386 \nL 297.205982 140.616771 \nL 308.76637 140.153344 \nL 318.351849 139.967752 \nL 327.215394 140.023531 \nL 334.329201 140.290956 \nL 339.919758 140.695671 \nL 345.019963 141.27233 \nL 349.611351 142.029261 \nL 353.03748 142.802894 \nL 356.091813 143.709995 \nL 358.768282 144.753146 \nL 360.634229 145.686841 \nL 362.253668 146.709259 \nL 363.625531 147.820537 \nL 364.749334 149.020422 \nL 365.625223 150.308271 \nL 366.253917 151.683031 \nL 366.636727 153.143244 \nL 366.775546 154.687037 \nL 366.672782 156.312121 \nL 366.331407 158.015796 \nL 365.754877 159.794948 \nL 364.947134 161.646062 \nL 363.619052 164.055153 \nL 361.946138 166.562054 \nL 359.938826 169.157381 \nL 357.608393 171.830894 \nL 354.402293 175.126722 \nL 350.770119 178.498754 \nL 346.734798 181.925192 \nL 342.319943 185.383091 \nL 337.549666 188.848565 \nL 332.448255 192.297013 \nL 327.040013 195.703354 \nL 321.348976 199.042285 \nL 315.398768 202.288487 \nL 309.212422 205.416933 \nL 302.812215 208.4031 \nL 296.219614 211.223248 \nL 289.455167 213.854647 \nL 282.538479 216.275811 \nL 275.488172 218.466732 \nL 269.523642 220.10335 \nL 263.488386 221.557714 \nL 257.391744 222.821189 \nL 251.24269 223.886199 \nL 245.049864 224.746244 \nL 238.82163 225.395995 \nL 232.56611 225.83131 \nL 226.291265 226.049249 \nL 220.004947 226.048153 \nL 213.714957 225.827591 \nL 207.429117 225.38842 \nL 201.15533 224.732717 \nL 194.901642 223.863831 \nL 188.676311 222.786316 \nL 182.487856 221.505902 \nL 176.345115 220.029465 \nL 170.257285 218.364968 \nL 164.233979 216.521405 \nL 157.105374 214.086865 \nL 150.102448 211.427756 \nL 143.244483 208.564633 \nL 136.551766 205.519486 \nL 130.045618 202.315503 \nL 123.748322 198.976871 \nL 117.683005 195.52851 \nL 111.873603 191.9958 \nL 106.344681 188.404381 \nL 101.121227 184.779856 \nL 96.228493 181.147571 \nL 91.691764 177.532354 \nL 87.536112 173.958298 \nL 83.78608 170.448531 \nL 80.465526 167.025008 \nL 77.597187 163.708315 \nL 75.567857 161.039809 \nL 73.879024 158.468886 \nL 72.541366 156.00481 \nL 71.730621 154.11612 \nL 71.155285 152.305009 \nL 70.819311 150.574911 \nL 70.726167 148.928854 \nL 70.878769 147.369451 \nL 71.279464 145.898902 \nL 71.930059 144.518987 \nL 72.831729 143.231079 \nL 73.985022 142.036134 \nL 75.389918 140.93471 \nL 77.045729 139.92697 \nL 78.951134 139.012698 \nL 81.104199 138.191309 \nL 84.139791 137.293723 \nL 87.551861 136.537219 \nL 91.332504 135.918473 \nL 96.342514 135.352141 \nL 101.850835 134.970296 \nL 107.835903 134.763777 \nL 115.388627 134.730965 \nL 124.719797 134.946891 \nL 134.730177 135.407468 \nL 146.709711 136.184178 \nL 160.777239 137.323734 \nL 176.98092 138.857022 \nL 196.813703 140.971108 \nL 218.584786 143.532315 \nL 238.782449 146.121224 \nL 257.087021 148.669906 \nL 273.341164 151.140809 \nL 287.512423 153.509809 \nL 299.658305 155.755752 \nL 309.895574 157.855349 \nL 319.54754 160.06441 \nL 327.473053 162.096735 \nL 334.881948 164.230168 \nL 340.801566 166.144871 \nL 346.308661 168.143281 \nL 351.391573 170.228717 \nL 356.040854 172.403621 \nL 359.578752 174.285446 \nL 362.807514 176.230627 \nL 365.725185 178.238769 \nL 368.330908 180.308839 \nL 370.624853 182.439116 \nL 372.60815 184.627166 \nL 374.282881 186.869826 \nL 375.402519 188.700673 \nL 376.328511 190.561637 \nL 377.063139 192.450054 \nL 377.608984 194.362973 \nL 377.968942 196.297122 \nL 378.146162 198.24894 \nL 378.144069 200.214579 \nL 377.894813 202.684749 \nL 377.378639 205.161414 \nL 376.603494 207.635339 \nL 375.577699 210.096714 \nL 374.309899 212.535251 \nL 372.808867 214.940219 \nL 371.083589 217.300501 \nL 369.143048 219.604701 \nL 366.99623 221.841192 \nL 364.652088 223.99819 \nL 362.119384 226.063851 \nL 359.406764 228.026361 \nL 356.52258 229.873991 \nL 353.474938 231.595202 \nL 350.271629 233.178721 \nL 346.920073 234.613656 \nL 343.427351 235.889525 \nL 339.800167 236.996389 \nL 336.044797 237.92487 \nL 332.167162 238.666266 \nL 328.172769 239.212617 \nL 324.066754 239.556735 \nL 319.853906 239.692293 \nL 315.538686 239.613863 \nL 311.125258 239.316946 \nL 306.617523 238.798031 \nL 302.01917 238.054609 \nL 297.333712 237.085187 \nL 292.564571 235.889342 \nL 287.715091 234.467663 \nL 282.788633 232.821819 \nL 276.780115 230.554755 \nL 270.671893 227.975408 \nL 264.470601 225.092416 \nL 258.183492 221.91643 \nL 251.818581 218.459987 \nL 245.384828 214.737417 \nL 237.80523 210.079485 \nL 230.163703 205.109174 \nL 222.480844 199.857051 \nL 213.679907 193.551676 \nL 204.895108 186.972956 \nL 196.171138 180.175259 \nL 186.491678 172.336105 \nL 177.031068 164.372561 \nL 167.875333 156.366778 \nL 159.116893 148.400241 \nL 151.743784 141.416266 \nL 144.832063 134.580267 \nL 138.453128 127.943803 \nL 133.364412 122.338834 \nL 128.784314 116.954198 \nL 125.297131 112.535494 \nL 122.242883 108.31552 \nL 119.646292 104.309053 \nL 117.84846 101.143045 \nL 116.395956 98.141383 \nL 115.299277 95.310157 \nL 114.68424 93.171475 \nL 114.306672 91.147632 \nL 114.16982 89.240657 \nL 114.276272 87.452265 \nL 114.627869 85.783849 \nL 115.22574 84.236499 \nL 116.070267 82.810993 \nL 117.161048 81.507822 \nL 118.49691 80.327201 \nL 120.075929 79.269057 \nL 121.895377 78.333064 \nL 123.951756 77.518659 \nL 126.240817 76.825044 \nL 129.421681 76.126341 \nL 132.946911 75.612398 \nL 136.803416 75.2804 \nL 140.976483 75.127226 \nL 146.379038 75.174576 \nL 152.183187 75.468056 \nL 158.355448 76.00096 \nL 164.859999 76.766421 \nL 172.818022 77.944145 \nL 181.113831 79.418154 \nL 189.682234 81.178032 \nL 198.456567 83.213966 \nL 207.369509 85.516891 \nL 216.353883 88.078586 \nL 225.343424 90.891715 \nL 234.273518 93.949795 \nL 241.833289 96.761633 \nL 249.266097 99.746053 \nL 256.53633 102.900117 \nL 263.610509 106.221063 \nL 270.457477 109.706182 \nL 275.969011 112.733859 \nL 281.287707 115.871901 \nL 286.399772 119.118423 \nL 291.292802 122.471317 \nL 295.955803 125.928205 \nL 300.379214 129.486356 \nL 304.554923 133.142639 \nL 308.476261 136.893473 \nL 312.137968 140.734768 \nL 315.536202 144.661872 \nL 318.668501 148.669534 \nL 321.53368 152.751866 \nL 324.131887 156.902308 \nL 326.464424 161.113603 \nL 328.533773 165.37778 \nL 330.343507 169.686148 \nL 331.89814 174.029286 \nL 333.203126 178.397054 \nL 334.264744 182.778608 \nL 335.089959 187.162427 \nL 335.686393 191.536342 \nL 336.062185 195.887578 \nL 336.225949 200.2028 \nL 336.186607 204.468169 \nL 335.953333 208.669419 \nL 335.535462 212.791924 \nL 334.803623 217.613992 \nL 333.835742 222.275074 \nL 332.647842 226.74889 \nL 331.255504 231.009212 \nL 329.673726 235.030152 \nL 327.916843 238.786359 \nL 326.328798 241.696608 \nL 324.635832 244.392371 \nL 322.844807 246.860664 \nL 320.962022 249.089244 \nL 318.99327 251.066679 \nL 316.943804 252.782436 \nL 314.818306 254.226993 \nL 313.065989 255.181647 \nL 311.269573 255.953475 \nL 309.430697 256.539149 \nL 307.550819 256.935847 \nL 305.631202 257.14126 \nL 303.672883 257.153595 \nL 301.676732 256.971608 \nL 299.643444 256.594593 \nL 297.573561 256.022375 \nL 294.935324 255.033247 \nL 292.24097 253.741681 \nL 289.49071 252.150906 \nL 286.684502 250.265423 \nL 283.822182 248.09095 \nL 280.312908 245.109942 \nL 276.721794 241.736902 \nL 273.048306 237.98805 \nL 268.658011 233.16382 \nL 264.155239 227.884967 \nL 258.872949 221.340148 \nL 252.761371 213.391619 \nL 245.772699 203.931675 \nL 237.14161 191.871212 \nL 225.315784 174.936772 \nL 208.821615 150.902075 \nL 193.467882 128.159522 \nL 183.871062 113.580946 \nL 176.910853 102.640426 \nL 171.161936 93.180756 \nL 167.03643 85.992981 \nL 163.391328 79.175386 \nL 160.636708 73.534211 \nL 158.624333 68.951935 \nL 156.953364 64.612047 \nL 155.640302 60.521767 \nL 154.829869 57.308325 \nL 154.284954 54.275492 \nL 154.011281 51.425768 \nL 154.013258 48.761209 \nL 154.215376 46.763975 \nL 154.596728 44.886901 \nL 155.157572 43.130444 \nL 155.897544 41.494934 \nL 156.81565 39.980498 \nL 157.910263 38.587192 \nL 159.179115 37.31491 \nL 160.619315 36.163435 \nL 162.227354 35.132452 \nL 163.999088 34.221545 \nL 166.436682 33.251044 \nL 169.112078 32.466316 \nL 172.013386 31.866123 \nL 175.127412 31.449146 \nL 178.439758 31.214006 \nL 181.934921 31.159276 \nL 186.347112 31.3298 \nL 190.968506 31.755725 \nL 195.767332 32.434805 \nL 200.710569 33.364962 \nL 205.764284 34.54432 \nL 210.893964 35.971246 \nL 216.064853 37.644326 \nL 221.242296 39.562408 \nL 226.392066 41.724529 \nL 231.480688 44.129891 \nL 236.475748 46.777805 \nL 240.544372 49.169246 \nL 244.509307 51.728305 \nL 248.354309 54.454558 \nL 252.064121 57.347457 \nL 255.624539 60.406314 \nL 259.022488 63.630256 \nL 262.246076 67.018189 \nL 265.284665 70.568676 \nL 268.128883 74.279973 \nL 270.770677 78.149906 \nL 273.203297 82.175877 \nL 275.421332 86.354764 \nL 277.420669 90.682877 \nL 279.198518 95.155967 \nL 280.753336 99.769093 \nL 282.084806 104.516645 \nL 283.193794 109.392281 \nL 284.082309 114.388889 \nL 284.753379 119.498589 \nL 285.211037 124.712664 \nL 285.460198 130.021592 \nL 285.506628 135.414999 \nL 285.356811 140.881688 \nL 284.928047 147.521431 \nL 284.240313 154.226954 \nL 283.307857 160.97425 \nL 282.145616 167.737747 \nL 280.768985 174.490406 \nL 279.193608 181.203859 \nL 277.435161 187.848558 \nL 275.17298 195.473017 \nL 272.706862 202.912467 \nL 270.060011 210.116118 \nL 267.254442 217.032767 \nL 264.738983 222.694202 \nL 262.134117 228.075595 \nL 259.450993 233.146006 \nL 256.699824 237.875544 \nL 253.889872 242.235679 \nL 251.50936 245.567487 \nL 249.098136 248.609543 \nL 246.660104 251.348372 \nL 244.198752 253.771681 \nL 241.717202 255.868454 \nL 239.719294 257.304204 \nL 237.711518 258.520453 \nL 235.695038 259.513533 \nL 233.670912 260.280389 \nL 231.640122 260.81863 \nL 229.60357 261.126513 \nL 227.562105 261.202992 \nL 225.516536 261.047677 \nL 223.467647 260.660866 \nL 221.416214 260.043548 \nL 219.363019 259.197357 \nL 217.30887 258.124611 \nL 215.254613 256.82828 \nL 213.201149 255.311951 \nL 210.636925 253.113645 \nL 208.077555 250.587734 \nL 205.525383 247.745098 \nL 202.983039 244.597867 \nL 199.949394 240.437981 \nL 196.939994 235.883764 \nL 193.961465 230.962161 \nL 191.021312 225.701753 \nL 187.650917 219.176368 \nL 184.359236 212.279824 \nL 181.162993 205.062596 \nL 178.080609 197.575784 \nL 175.132108 189.870496 \nL 172.338954 181.997294 \nL 169.72385 174.005667 \nL 167.310499 165.943569 \nL 165.123261 157.857016 \nL 163.186811 149.789735 \nL 161.745263 142.921529 \nL 160.521276 136.122039 \nL 159.52958 129.413959 \nL 158.784202 122.818329 \nL 158.298253 116.354504 \nL 158.10013 111.081461 \nL 158.096705 105.921568 \nL 158.293443 100.883329 \nL 158.694989 95.974481 \nL 159.305064 91.201963 \nL 160.126437 86.57199 \nL 161.160821 82.090043 \nL 162.408844 77.760929 \nL 163.869958 73.588816 \nL 165.542459 69.577256 \nL 167.423389 65.729255 \nL 169.508567 62.047269 \nL 171.792549 58.533316 \nL 174.26862 55.188972 \nL 176.928846 52.015468 \nL 179.764048 49.013682 \nL 182.763873 46.184245 \nL 185.916807 43.527531 \nL 189.210248 41.043748 \nL 192.630567 38.73297 \nL 196.163184 36.595188 \nL 199.792652 34.630321 \nL 203.502738 32.838267 \nL 208.037413 30.915827 \nL 212.633529 29.242083 \nL 217.25991 27.817133 \nL 221.884773 26.641269 \nL 226.476039 25.714989 \nL 231.001644 25.039064 \nL 235.429848 24.614483 \nL 239.729558 24.442466 \nL 243.870626 24.524457 \nL 247.179447 24.787986 \nL 250.342085 25.230033 \nL 253.343464 25.851643 \nL 256.169454 26.65387 \nL 258.806967 27.637744 \nL 261.244037 28.80427 \nL 263.469888 30.154351 \nL 265.09206 31.367122 \nL 266.568664 32.698235 \nL 267.89599 34.147955 \nL 269.070883 35.716465 \nL 270.090765 37.40389 \nL 270.953615 39.210205 \nL 271.658008 41.135293 \nL 272.203071 43.178889 \nL 272.588503 45.34062 \nL 272.846273 48.208051 \nL 272.856795 51.257818 \nL 272.623067 54.488103 \nL 272.149337 57.896664 \nL 271.441018 61.480787 \nL 270.290605 66.008922 \nL 268.824973 70.778704 \nL 267.059158 75.782539 \nL 264.641991 81.90437 \nL 261.86788 88.316813 \nL 258.300078 95.97764 \nL 253.837544 104.982504 \nL 248.405017 115.408508 \nL 241.359877 128.396389 \nL 232.620302 144.00961 \nL 221.579519 163.249232 \nL 210.407475 182.267041 \nL 201.308561 197.330384 \nL 194.304926 208.536641 \nL 188.084808 218.083565 \nL 182.622803 226.045007 \nL 177.883372 232.545406 \nL 173.828593 237.740027 \nL 169.86104 242.436169 \nL 166.529895 246.039585 \nL 163.262863 249.233884 \nL 160.589116 251.571417 \nL 157.959536 253.605275 \nL 155.374023 255.328545 \nL 152.832609 256.73558 \nL 150.335495 257.822124 \nL 148.369972 258.458601 \nL 146.433406 258.887266 \nL 144.526272 259.107887 \nL 142.649174 259.120812 \nL 140.802883 258.926971 \nL 138.988334 258.527899 \nL 137.206642 257.925698 \nL 135.459109 257.123039 \nL 133.747233 256.123135 \nL 132.072723 254.929731 \nL 130.035069 253.172434 \nL 128.063024 251.128955 \nL 126.16134 248.809834 \nL 124.335296 246.226677 \nL 122.590706 243.392027 \nL 120.933912 240.319315 \nL 119.071326 236.337781 \nL 117.357749 232.059529 \nL 115.806805 227.511305 \nL 114.432923 222.72062 \nL 113.251196 217.715515 \nL 112.277236 212.524252 \nL 111.527059 207.175063 \nL 111.016825 201.695906 \nL 110.786606 197.05048 \nL 110.743469 192.349377 \nL 110.896483 187.607665 \nL 111.254369 182.839921 \nL 111.825477 178.06015 \nL 112.617692 173.281735 \nL 113.638297 168.517402 \nL 114.893889 163.77917 \nL 116.390301 159.078325 \nL 118.132481 154.425409 \nL 120.124435 149.830202 \nL 122.369133 145.301722 \nL 124.868383 140.848238 \nL 127.622839 136.477276 \nL 130.631884 132.195645 \nL 133.893572 128.009468 \nL 137.404622 123.924212 \nL 141.16033 119.944741 \nL 145.154576 116.075347 \nL 149.379785 112.319812 \nL 153.826942 108.681458 \nL 158.485578 105.1632 \nL 163.34381 101.767606 \nL 168.388337 98.496948 \nL 173.604516 95.353282 \nL 178.97638 92.338488 \nL 185.603832 88.893319 \nL 192.398722 85.639176 \nL 199.326915 82.578991 \nL 206.352321 79.715752 \nL 213.437149 77.052663 \nL 220.54222 74.593177 \nL 228.803316 71.986146 \nL 236.972035 69.66793 \nL 244.982677 67.645759 \nL 252.769782 65.927487 \nL 260.268918 64.521522 \nL 267.417546 63.436673 \nL 273.220489 62.769257 \nL 278.686181 62.350129 \nL 283.781148 62.184919 \nL 288.474475 62.279021 \nL 292.058422 62.559178 \nL 295.329302 63.025606 \nL 298.274132 63.680678 \nL 300.8816 64.526437 \nL 302.718182 65.341473 \nL 304.328636 66.280279 \nL 305.709654 67.343305 \nL 306.858682 68.530791 \nL 307.773945 69.842761 \nL 308.454423 71.279025 \nL 308.899862 72.839102 \nL 309.110758 74.522318 \nL 309.08836 76.327686 \nL 308.834633 78.25397 \nL 308.352251 80.299675 \nL 307.644534 82.463007 \nL 306.449182 85.329417 \nL 304.917212 88.371713 \nL 303.059182 91.58457 \nL 300.415908 95.656595 \nL 297.342893 99.953849 \nL 293.864864 104.463298 \nL 289.330677 109.973331 \nL 283.574919 116.568197 \nL 277.273315 123.441593 \nL 269.619492 131.452247 \nL 260.532301 140.619366 \nL 249.98347 150.913767 \nL 239.0207 161.295841 \nL 227.800923 171.623836 \nL 216.464118 181.753678 \nL 206.158657 190.669666 \nL 196.950702 198.364912 \nL 187.85517 205.67109 \nL 179.89622 211.781611 \nL 172.079239 217.482418 \nL 165.370255 222.100828 \nL 158.793926 226.346814 \nL 153.268942 229.67218 \nL 147.851852 232.694072 \nL 142.546427 235.401481 \nL 137.356042 237.785285 \nL 132.28381 239.838311 \nL 128.149404 241.292713 \nL 124.100933 242.511926 \nL 120.140312 243.495111 \nL 116.269547 244.242418 \nL 112.490902 244.755033 \nL 108.806871 245.035157 \nL 105.220212 245.085977 \nL 101.734097 244.911652 \nL 98.351993 244.517279 \nL 95.07779 243.908851 \nL 91.91581 243.093209 \nL 88.8708 242.07799 \nL 85.947918 240.871586 \nL 83.15282 239.483045 \nL 80.49155 237.922039 \nL 77.970579 236.198778 \nL 75.596798 234.323903 \nL 73.377511 232.308465 \nL 71.320307 230.163802 \nL 69.433114 227.901461 \nL 67.724135 225.533123 \nL 66.201752 223.07052 \nL 64.874558 220.525366 \nL 63.751199 217.909249 \nL 62.840376 215.233575 \nL 62.150765 212.509493 \nL 61.690909 209.747835 \nL 61.46921 206.959016 \nL 61.493764 204.153018 \nL 61.772363 201.339312 \nL 62.312405 198.52681 \nL 63.12075 195.72385 \nL 64.203762 192.938123 \nL 65.567149 190.176675 \nL 67.215899 187.445885 \nL 69.154241 184.751445 \nL 71.385599 182.098352 \nL 73.912468 179.490929 \nL 76.736424 176.932823 \nL 79.858025 174.427025 \nL 83.276829 171.9759 \nL 86.991303 169.581212 \nL 90.998835 167.244167 \nL 95.295652 164.965457 \nL 100.826762 162.308295 \nL 106.756749 159.735057 \nL 113.07257 157.244654 \nL 119.758823 154.835447 \nL 128.003789 152.124607 \nL 136.696472 149.51793 \nL 145.800494 147.011779 \nL 156.656859 144.266442 \nL 167.931435 141.644147 \nL 181.025091 138.838447 \nL 194.445573 136.185967 \nL 209.596293 133.424205 \nL 224.832925 130.870779 \nL 239.977339 128.546978 \nL 254.847326 126.481934 \nL 269.259678 124.711993 \nL 281.689903 123.406334 \nL 292.201178 122.502757 \nL 302.116585 121.867272 \nL 310.239898 121.551216 \nL 317.794356 121.476813 \nL 323.781549 121.61763 \nL 329.290197 121.957365 \nL 334.296592 122.504689 \nL 338.069857 123.124923 \nL 341.469529 123.898439 \nL 344.486845 124.828366 \nL 346.620545 125.686566 \nL 348.50203 126.647292 \nL 350.1291 127.711073 \nL 351.500224 128.878084 \nL 352.614566 130.148123 \nL 353.471979 131.520609 \nL 354.072979 132.994569 \nL 354.418762 134.568624 \nL 354.511177 136.240991 \nL 354.352677 138.009479 \nL 353.946327 139.871481 \nL 353.295805 141.823992 \nL 352.40534 143.863592 \nL 350.962085 146.529713 \nL 349.161642 149.317624 \nL 347.015426 152.218102 \nL 344.535816 155.221053 \nL 341.138861 158.944429 \nL 337.305092 162.779281 \nL 333.0599 166.703858 \nL 328.429582 170.695152 \nL 323.440935 174.729097 \nL 318.121112 178.780772 \nL 311.532243 183.496024 \nL 304.572121 188.159383 \nL 298.342427 192.08381 \nL 291.896064 195.913677 \nL 285.25761 199.623414 \nL 278.450629 203.188104 \nL 271.497584 206.583703 \nL 264.419779 209.787287 \nL 257.23734 212.777256 \nL 249.969224 215.533572 \nL 242.633258 218.037942 \nL 236.480246 219.920586 \nL 230.300953 221.608493 \nL 224.104127 223.094369 \nL 217.898142 224.372031 \nL 211.691049 225.436459 \nL 205.490639 226.283816 \nL 199.304497 226.911527 \nL 193.140082 227.318211 \nL 187.004771 227.503759 \nL 180.905941 227.469293 \nL 174.851028 227.217194 \nL 168.84758 226.751015 \nL 162.903329 226.075531 \nL 157.02623 225.196642 \nL 151.224512 224.121364 \nL 145.506753 222.857739 \nL 139.881859 221.414809 \nL 134.359126 219.802518 \nL 127.880403 217.659449 \nL 121.580343 215.308128 \nL 115.477374 212.769955 \nL 109.590746 210.067444 \nL 103.9405 207.223995 \nL 98.547352 204.263631 \nL 93.432634 201.210768 \nL 88.618109 198.089939 \nL 84.125785 194.925557 \nL 79.977796 191.741688 \nL 76.19616 188.561775 \nL 72.802524 185.408447 \nL 69.817996 182.303284 \nL 67.65805 179.767159 \nL 65.807473 177.289666 \nL 64.276792 174.881073 \nL 63.075859 172.550851 \nL 62.213679 170.307606 \nL 61.773346 168.580844 \nL 61.55875 166.918213 \nL 61.573178 165.322833 \nL 61.819453 163.797432 \nL 62.299921 162.344328 \nL 63.016433 160.96544 \nL 63.97034 159.662282 \nL 65.162469 158.435968 \nL 66.593103 157.287218 \nL 68.261968 156.216364 \nL 70.168271 155.223363 \nL 72.88291 154.090935 \nL 75.962453 153.077924 \nL 79.401678 152.181962 \nL 83.194043 151.399938 \nL 88.199889 150.606516 \nL 93.68691 149.963955 \nL 100.671888 149.393186 \nL 108.253289 149.000291 \nL 117.599997 148.747675 \nL 128.910929 148.682803 \nL 142.354023 148.839209 \nL 159.507346 149.27685 \nL 182.136022 150.096595 \nL 213.483383 151.473657 \nL 248.087306 153.205071 \nL 273.869516 154.705063 \nL 292.508565 156.010016 \nL 307.298233 157.276572 \nL 318.602891 158.460347 \nL 327.976713 159.649257 \nL 335.614252 160.811805 \nL 342.691687 162.102208 \nL 348.291144 163.31927 \nL 353.443534 164.646064 \nL 358.135994 166.088514 \nL 361.687348 167.382418 \nL 364.907052 168.762134 \nL 367.791405 170.22912 \nL 370.337808 171.784113 \nL 372.544834 173.427086 \nL 374.065864 174.804279 \nL 375.369836 176.236457 \nL 376.457552 177.722459 \nL 377.330248 179.260772 \nL 377.989564 180.849523 \nL 378.437582 182.486483 \nL 378.676744 184.169054 \nL 378.709839 185.894291 \nL 378.54005 187.65889 \nL 378.170854 189.459211 \nL 377.606046 191.291274 \nL 376.631146 193.619418 \nL 375.365449 195.981344 \nL 373.81794 198.367286 \nL 371.998112 200.766804 \nL 369.915772 203.168891 \nL 367.581048 205.562004 \nL 364.460746 208.405014 \nL 361.009915 211.196447 \nL 357.246649 213.914374 \nL 353.188951 216.536522 \nL 348.854556 219.04051 \nL 344.260801 221.404076 \nL 339.424502 223.60532 \nL 334.36181 225.622917 \nL 329.98116 227.149141 \nL 325.462623 228.522258 \nL 320.814378 229.731526 \nL 316.044248 230.766875 \nL 311.159675 231.618993 \nL 306.167751 232.279378 \nL 301.075209 232.740426 \nL 295.888507 232.995472 \nL 290.61382 233.038845 \nL 285.257092 232.86594 \nL 279.824089 232.47321 \nL 274.32044 231.858266 \nL 268.751732 231.019813 \nL 263.123492 229.957717 \nL 257.441337 228.673024 \nL 251.710997 227.167918 \nL 245.938371 225.445728 \nL 240.129619 223.510885 \nL 233.120565 220.916273 \nL 226.080742 218.035099 \nL 219.022994 214.881044 \nL 211.961238 211.469768 \nL 204.910587 207.818771 \nL 197.887441 203.947223 \nL 190.909574 199.875803 \nL 182.851656 194.902617 \nL 174.914557 189.724245 \nL 167.13394 184.379248 \nL 159.548046 178.907401 \nL 152.197467 173.349279 \nL 145.124916 167.745798 \nL 138.374845 162.137765 \nL 131.992998 156.565441 \nL 126.025862 151.068112 \nL 120.520067 145.683684 \nL 116.203019 141.185766 \nL 112.287236 136.818901 \nL 108.800064 132.603315 \nL 105.767548 128.557782 \nL 103.605393 125.328882 \nL 101.788957 122.239145 \nL 100.330153 119.296807 \nL 99.427807 117.054053 \nL 98.76607 114.913736 \nL 98.349192 112.878856 \nL 98.180809 110.952037 \nL 98.263901 109.135529 \nL 98.600752 107.431211 \nL 99.19299 105.840603 \nL 100.04146 104.36485 \nL 101.146342 103.004745 \nL 102.50698 101.760736 \nL 104.122022 100.632945 \nL 105.989353 99.621162 \nL 108.106088 98.724886 \nL 110.468591 97.943312 \nL 113.760595 97.125994 \nL 117.419574 96.483581 \nL 121.433724 96.012895 \nL 125.789502 95.710279 \nL 131.44609 95.563228 \nL 137.544048 95.644654 \nL 144.051776 95.94639 \nL 152.116409 96.56548 \nL 160.634409 97.459058 \nL 169.544547 98.613414 \nL 178.782967 100.01522 \nL 189.658805 101.904086 \nL 200.777798 104.08224 \nL 212.039687 106.534176 \nL 223.345139 109.246507 \nL 233.19673 111.824576 \nL 242.944352 114.587292 \nL 252.527701 117.529712 \nL 261.889601 120.647901 \nL 270.97651 123.938756 \nL 278.508765 126.894993 \nL 285.773911 129.974833 \nL 292.745824 133.176898 \nL 299.401016 136.499687 \nL 305.718697 139.941418 \nL 310.712534 142.8988 \nL 315.450478 145.935661 \nL 319.924959 149.050063 \nL 324.129742 152.239673 \nL 328.059921 155.501699 \nL 331.711925 158.832844 \nL 335.083416 162.229263 \nL 338.173381 165.68652 \nL 340.981947 169.19956 \nL 343.51038 172.762681 \nL 345.761072 176.369512 \nL 347.737392 180.013005 \nL 349.443665 183.685428 \nL 350.885102 187.37838 \nL 352.067654 191.082785 \nL 352.998032 194.788932 \nL 353.683541 198.486478 \nL 354.131992 202.164521 \nL 354.351652 205.811609 \nL 354.351123 209.415821 \nL 354.139296 212.964801 \nL 353.72524 216.445827 \nL 353.118088 219.845909 \nL 352.326983 223.151834 \nL 351.361025 226.350267 \nL 350.229168 229.427818 \nL 348.940164 232.371147 \nL 347.502512 235.167055 \nL 345.924349 237.802551 \nL 344.213478 240.264984 \nL 342.377287 242.542109 \nL 340.422699 244.622164 \nL 338.35614 246.493992 \nL 336.183605 248.147108 \nL 333.910505 249.571792 \nL 331.541734 250.759128 \nL 329.081689 251.701131 \nL 326.534229 252.390728 \nL 323.902673 252.8219 \nL 321.189895 252.989659 \nL 318.398263 252.890144 \nL 315.529712 252.520592 \nL 312.585764 251.879391 \nL 309.56757 250.966102 \nL 306.475978 249.78143 \nL 303.31153 248.327227 \nL 300.074565 246.606481 \nL 296.765242 244.623285 \nL 292.698606 241.904378 \nL 288.527844 238.825914 \nL 284.253023 235.400817 \nL 279.134627 230.986583 \nL 273.876148 226.147137 \nL 267.697846 220.133354 \nL 260.539251 212.809232 \nL 252.34231 204.063465 \nL 243.061417 193.826786 \nL 230.92884 180.089864 \nL 215.031976 161.724956 \nL 197.478677 141.116281 \nL 184.025405 125.01393 \nL 173.833929 112.474543 \nL 166.631676 103.287658 \nL 160.739651 95.429773 \nL 156.048307 88.812776 \nL 152.415546 83.332266 \nL 149.264158 78.159776 \nL 146.973326 73.983712 \nL 145.082888 70.05484 \nL 143.826504 66.975239 \nL 142.869896 64.076587 \nL 142.220843 61.362213 \nL 141.927341 59.325274 \nL 141.837288 57.409251 \nL 141.952593 55.615106 \nL 142.274477 53.943586 \nL 142.803499 52.395272 \nL 143.539507 50.970522 \nL 144.481656 49.669526 \nL 145.628379 48.492309 \nL 146.977412 47.438738 \nL 148.525787 46.508506 \nL 150.269828 45.701174 \nL 152.205173 45.016184 \nL 154.885632 44.330945 \nL 157.845832 43.834268 \nL 161.072967 43.52441 \nL 164.552798 43.399469 \nL 169.040122 43.490782 \nL 173.839523 43.841806 \nL 178.919412 44.448806 \nL 184.246224 45.308071 \nL 189.784741 46.415956 \nL 195.498444 47.768992 \nL 201.34987 49.363892 \nL 207.300992 51.197593 \nL 213.313564 53.267304 \nL 219.349503 55.570462 \nL 225.371235 58.104733 \nL 231.342042 60.867993 \nL 237.226387 63.858265 \nL 242.990213 67.073616 \nL 247.677996 69.923607 \nL 252.242015 72.92736 \nL 256.665722 76.08359 \nL 260.933728 79.390835 \nL 265.031847 82.847419 \nL 268.947201 86.451427 \nL 272.668223 90.200628 \nL 276.184727 94.092397 \nL 279.487898 98.123689 \nL 282.570348 102.290971 \nL 285.426056 106.590167 \nL 288.050425 111.016612 \nL 290.44021 115.565006 \nL 292.593491 120.229359 \nL 294.509662 125.002958 \nL 296.189335 129.878347 \nL 297.634292 134.847275 \nL 298.847434 139.900696 \nL 299.832687 145.028746 \nL 300.594909 150.220737 \nL 301.13983 155.46516 \nL 301.473948 160.749699 \nL 301.604422 166.061244 \nL 301.538987 171.385924 \nL 301.213467 177.772277 \nL 300.632624 184.129986 \nL 299.811933 190.431277 \nL 298.767211 196.647287 \nL 297.514399 202.748224 \nL 296.069369 208.70362 \nL 294.44771 214.482545 \nL 292.664607 220.05387 \nL 290.734648 225.386553 \nL 288.671741 230.449903 \nL 286.488969 235.213899 \nL 284.198523 239.649492 \nL 281.811651 243.728906 \nL 279.756366 246.837338 \nL 277.646649 249.665986 \nL 275.487417 252.201635 \nL 273.283091 254.432215 \nL 271.037617 256.346852 \nL 269.213983 257.644611 \nL 267.36785 258.729743 \nL 265.500651 259.598562 \nL 263.613643 260.248006 \nL 261.707958 260.675634 \nL 259.784573 260.879627 \nL 257.844352 260.858816 \nL 255.888051 260.612686 \nL 253.916332 260.141361 \nL 251.929774 259.445654 \nL 249.928904 258.526986 \nL 247.914198 257.38744 \nL 245.377028 255.656567 \nL 242.819774 253.591462 \nL 240.243296 251.200179 \nL 237.648525 248.492131 \nL 235.036512 245.478017 \nL 231.881067 241.473895 \nL 228.705082 237.068867 \nL 225.511644 232.287579 \nL 221.768964 226.269198 \nL 218.014967 219.819166 \nL 213.722309 211.978951 \nL 209.442613 203.707655 \nL 204.667552 193.978412 \nL 199.965752 183.900983 \nL 195.374877 173.578718 \nL 190.456055 161.944376 \nL 186.244972 151.429675 \nL 182.291557 140.966907 \nL 179.037413 131.777888 \nL 176.068625 122.749849 \nL 173.73585 115.021178 \nL 171.677471 107.483459 \nL 169.918521 100.163761 \nL 168.667195 94.08171 \nL 167.667201 88.191303 \nL 166.93124 82.504671 \nL 166.470591 77.032508 \nL 166.304058 72.642953 \nL 166.340113 68.413512 \nL 166.58244 64.348243 \nL 167.033755 60.450667 \nL 167.695661 56.72373 \nL 168.56868 53.169881 \nL 169.652157 49.791097 \nL 170.944264 46.588911 \nL 172.441966 43.564488 \nL 174.140988 40.718615 \nL 176.035857 38.051774 \nL 178.11988 35.564197 \nL 180.385182 33.255834 \nL 182.82273 31.126512 \nL 185.422378 29.175856 \nL 188.172918 27.403402 \nL 191.062142 25.808601 \nL 194.076908 24.390874 \nL 197.203241 23.149605 \nL 200.42639 22.084221 \nL 203.730949 21.194201 \nL 207.781348 20.356984 \nL 211.897483 19.770978 \nL 216.050221 19.435759 \nL 220.210032 19.351153 \nL 224.347288 19.517243 \nL 228.43255 19.934353 \nL 232.436856 20.603056 \nL 235.691565 21.353061 \nL 238.854675 22.278884 \nL 241.911009 23.38115 \nL 244.846097 24.660505 \nL 247.64627 26.117646 \nL 250.298737 27.753255 \nL 252.791668 29.567954 \nL 255.114268 31.562299 \nL 257.256829 33.73673 \nL 259.210788 36.091555 \nL 260.968763 38.626889 \nL 262.52458 41.342616 \nL 263.873289 44.238371 \nL 265.011177 47.313465 \nL 265.935773 50.566901 \nL 266.645821 53.99727 \nL 267.141241 57.60276 \nL 267.423127 61.381098 \nL 267.493704 65.329544 \nL 267.356239 69.444827 \nL 267.015006 73.723088 \nL 266.343962 79.065918 \nL 265.397686 84.628282 \nL 264.188398 90.400052 \nL 262.729689 96.369726 \nL 260.732355 103.567151 \nL 258.440646 110.99324 \nL 255.494763 119.726967 \nL 252.238947 128.682597 \nL 248.256297 138.963384 \nL 243.989948 149.389757 \nL 238.983602 161.0457 \nL 233.765451 172.65898 \nL 228.399594 184.099996 \nL 222.942497 195.232714 \nL 217.993125 204.872736 \nL 213.038316 214.046185 \nL 208.648921 221.725801 \nL 204.287613 228.885609 \nL 200.502863 234.671076 \nL 196.753204 239.964464 \nL 193.570371 244.079914 \nL 190.418488 247.781872 \nL 187.816742 250.535992 \nL 185.238396 252.977888 \nL 182.684123 255.098129 \nL 180.154553 256.888613 \nL 177.650325 258.34265 \nL 175.665652 259.260081 \nL 173.698044 259.956825 \nL 171.747963 260.431537 \nL 169.815964 260.683487 \nL 167.902673 260.712607 \nL 166.008832 260.519472 \nL 164.135307 260.1053 \nL 162.283096 259.471936 \nL 160.453342 258.621844 \nL 158.647355 257.558137 \nL 156.866599 256.284485 \nL 154.678668 254.403726 \nL 152.536395 252.211156 \nL 150.443887 249.717619 \nL 148.405731 246.935084 \nL 146.427027 243.876659 \nL 144.51335 240.556422 \nL 142.311393 236.247647 \nL 140.223298 231.610683 \nL 138.261448 226.674097 \nL 136.439114 221.467389 \nL 134.770354 216.020785 \nL 133.269931 210.364884 \nL 131.953132 204.53039 \nL 130.835672 198.547837 \nL 129.933479 192.447331 \nL 129.262536 186.258315 \nL 128.838634 180.009336 \nL 128.685244 174.775911 \nL 128.722753 169.535201 \nL 128.959367 164.3018 \nL 129.402834 159.089592 \nL 130.06029 153.911719 \nL 130.938219 148.780545 \nL 132.042308 143.707638 \nL 133.377392 138.70376 \nL 134.947342 133.778855 \nL 136.755015 128.942059 \nL 138.802129 124.201711 \nL 141.08923 119.565372 \nL 143.615634 115.03986 \nL 146.379318 110.631267 \nL 149.376947 106.345004 \nL 152.603791 102.185849 \nL 156.053729 98.157994 \nL 159.71922 94.265087 \nL 163.591306 90.5103 \nL 167.659622 86.896367 \nL 171.912441 83.425655 \nL 176.336682 80.100213 \nL 180.917962 76.921828 \nL 185.640661 73.8921 \nL 190.48799 71.012457 \nL 196.444071 67.756879 \nL 202.521085 64.721548 \nL 208.684473 61.90868 \nL 214.89816 59.320543 \nL 221.124854 56.959575 \nL 227.326377 54.828402 \nL 233.46401 52.929902 \nL 239.498848 51.267215 \nL 245.392175 49.843718 \nL 251.105827 48.663056 \nL 256.602565 47.729072 \nL 261.846438 47.045726 \nL 266.803148 46.617102 \nL 271.440389 46.447252 \nL 275.728148 46.54015 \nL 279.014465 46.821021 \nL 282.024656 47.289026 \nL 284.745869 47.946024 \nL 287.166794 48.793642 \nL 288.880767 49.609915 \nL 290.392157 50.549618 \nL 291.697498 51.613175 \nL 292.794024 52.800827 \nL 293.679706 54.112698 \nL 294.353239 55.548696 \nL 294.814031 57.108557 \nL 295.062198 58.791831 \nL 295.098575 60.597831 \nL 294.92468 62.525708 \nL 294.54271 64.574351 \nL 293.777015 67.302995 \nL 292.697608 70.215186 \nL 291.312843 73.307314 \nL 289.261812 77.249418 \nL 286.804199 81.436149 \nL 283.961376 85.857929 \nL 280.18911 91.299365 \nL 275.326052 97.867319 \nL 269.934828 104.77707 \nL 262.553072 113.840695 \nL 253.753728 124.272013 \nL 242.664038 137.073138 \nL 227.455993 154.261703 \nL 211.022201 172.505383 \nL 196.535917 188.263746 \nL 185.919584 199.515814 \nL 176.454976 209.22386 \nL 168.934145 216.634177 \nL 162.432606 222.755232 \nL 156.11251 228.388094 \nL 150.735498 232.881953 \nL 145.503677 236.942141 \nL 141.135797 240.059364 \nL 136.876012 242.828052 \nL 132.724651 245.237407 \nL 129.348271 246.964371 \nL 126.047763 248.431822 \nL 122.823578 249.636923 \nL 119.676386 250.577971 \nL 116.607128 251.254369 \nL 113.617041 251.666598 \nL 110.70772 251.816318 \nL 107.881144 251.706269 \nL 105.139731 251.340295 \nL 102.486368 250.723275 \nL 99.924395 249.861147 \nL 97.457691 248.760782 \nL 95.090601 247.430018 \nL 92.828018 245.877545 \nL 90.675355 244.112853 \nL 88.638499 242.146142 \nL 86.723855 239.988297 \nL 84.938285 237.650731 \nL 83.289101 235.145373 \nL 81.784021 232.484508 \nL 80.43112 229.680747 \nL 79.238791 226.746923 \nL 78.21567 223.695965 \nL 77.370625 220.540876 \nL 76.712651 217.294587 \nL 76.250808 213.969893 \nL 75.99411 210.579391 \nL 75.951534 207.135392 \nL 76.131851 203.649829 \nL 76.543592 200.134236 \nL 77.194917 196.599655 \nL 78.093605 193.056606 \nL 79.246878 189.515032 \nL 80.661392 185.984269 \nL 82.3431 182.473016 \nL 84.297181 178.989313 \nL 86.52799 175.54053 \nL 89.038951 172.133362 \nL 91.832475 168.773833 \nL 94.909946 165.467308 \nL 98.271649 162.218509 \nL 101.916645 159.031541 \nL 105.84285 155.909927 \nL 110.046903 152.856644 \nL 114.524143 149.874172 \nL 119.268609 146.964535 \nL 124.273037 144.129363 \nL 130.609348 140.827242 \nL 137.290221 137.635897 \nL 144.295594 134.556602 \nL 151.602745 131.590372 \nL 159.186366 128.738097 \nL 168.346141 125.555716 \nL 177.796157 122.531525 \nL 187.484228 119.667962 \nL 197.354536 116.968339 \nL 208.782179 114.089494 \nL 220.278267 111.439139 \nL 231.746849 109.028169 \nL 243.089581 106.869868 \nL 254.20698 104.979827 \nL 264.99974 103.375734 \nL 275.370124 102.077016 \nL 284.023153 101.207404 \nL 292.219428 100.601782 \nL 299.901462 100.274557 \nL 306.03612 100.226373 \nL 311.722612 100.401586 \nL 316.932747 100.808129 \nL 320.892386 101.328838 \nL 324.490873 102.018874 \nL 327.716992 102.881377 \nL 330.023367 103.697301 \nL 332.081311 104.626271 \nL 333.887525 105.669017 \nL 335.439442 106.825958 \nL 336.735274 108.097195 \nL 337.773955 109.482494 \nL 338.555188 110.98127 \nL 339.079385 112.592577 \nL 339.347699 114.315112 \nL 339.36199 116.14719 \nL 339.124784 118.086747 \nL 338.639284 120.131335 \nL 337.909359 122.278123 \nL 336.939448 124.523913 \nL 335.397256 127.464872 \nL 333.498901 130.547089 \nL 331.25655 133.761875 \nL 328.683415 137.099706 \nL 325.17895 141.252921 \nL 321.244395 145.549116 \nL 316.906988 149.967559 \nL 311.375106 155.247478 \nL 305.378944 160.626886 \nL 298.964689 166.067183 \nL 292.178315 171.528472 \nL 285.065042 176.969981 \nL 277.668804 182.350522 \nL 270.031783 187.628941 \nL 262.194118 192.764599 \nL 254.193606 197.717817 \nL 247.233226 201.789199 \nL 240.199876 205.675424 \nL 233.112856 209.354728 \nL 225.990086 212.806742 \nL 218.848173 216.012721 \nL 211.702473 218.955668 \nL 204.56721 221.620517 \nL 198.638684 223.619336 \nL 192.733761 225.409584 \nL 186.859243 226.985981 \nL 181.02164 228.344363 \nL 175.227218 229.481734 \nL 169.482088 230.396252 \nL 163.792235 231.08726 \nL 158.163625 231.555281 \nL 152.602232 231.801993 \nL 147.114126 231.83025 \nL 141.705525 231.644004 \nL 136.382822 231.248336 \nL 131.152667 230.649355 \nL 126.021982 229.854184 \nL 120.99802 228.870899 \nL 116.088353 227.708458 \nL 111.300952 226.376607 \nL 106.644113 224.885849 \nL 101.240554 222.902952 \nL 96.053313 220.727682 \nL 91.098871 218.381358 \nL 86.394414 215.88602 \nL 81.957679 213.264196 \nL 77.806889 210.53869 \nL 73.960668 207.73231 \nL 70.437759 204.867668 \nL 67.256953 201.966924 \nL 64.43692 199.051582 \nL 62.375667 196.625903 \nL 60.587919 194.215826 \nL 59.083611 191.832163 \nL 57.872213 189.485076 \nL 56.962679 187.184024 \nL 56.458016 185.382198 \nL 56.155824 183.619498 \nL 56.059762 181.89967 \nL 56.173107 180.226101 \nL 56.498827 178.60183 \nL 57.039472 177.029515 \nL 57.797218 175.511462 \nL 58.773798 174.049594 \nL 59.970525 172.645473 \nL 61.388274 171.300286 \nL 63.027468 170.014867 \nL 65.387698 168.492834 \nL 68.092633 167.065087 \nL 71.139948 165.731004 \nL 74.526121 164.489202 \nL 78.246472 163.33759 \nL 83.143666 162.070801 \nL 88.501277 160.924057 \nL 94.304696 159.890459 \nL 101.616187 158.817199 \nL 110.64783 157.748899 \nL 120.350775 156.828925 \nL 131.997659 155.943979 \nL 147.15739 155.035113 \nL 166.154093 154.140128 \nL 192.255697 153.154837 \nL 230.160083 151.969063 \nL 262.766579 151.146457 \nL 284.868811 150.798051 \nL 301.437714 150.759443 \nL 314.293939 150.952745 \nL 325.008062 151.345709 \nL 333.776855 151.899627 \nL 340.821364 152.56238 \nL 347.245265 153.407287 \nL 352.235942 154.286841 \nL 356.734565 155.317679 \nL 360.098341 156.29676 \nL 363.105668 157.388016 \nL 365.751907 158.593506 \nL 368.033738 159.914488 \nL 369.595432 161.054724 \nL 370.92215 162.268941 \nL 372.014009 163.556555 \nL 372.871622 164.916595 \nL 373.496131 166.347699 \nL 373.889173 167.848109 \nL 374.052863 169.415666 \nL 373.989791 171.047814 \nL 373.703 172.741602 \nL 373.195937 174.493694 \nL 372.47246 176.300363 \nL 371.270237 178.629184 \nL 369.745507 181.028082 \nL 367.908016 183.487443 \nL 365.768174 185.996871 \nL 363.336965 188.54525 \nL 360.051071 191.638106 \nL 356.382567 194.748638 \nL 352.352468 197.854405 \nL 347.982092 200.93218 \nL 343.292814 203.958177 \nL 338.305911 206.90825 \nL 333.042375 209.758187 \nL 327.522754 212.483933 \nL 321.767006 215.061836 \nL 315.7944 217.468908 \nL 309.623434 219.683052 \nL 303.271796 221.683324 \nL 297.852937 223.172658 \nL 292.329633 224.489335 \nL 286.710811 225.623689 \nL 281.005013 226.56697 \nL 275.220445 227.311412 \nL 269.365015 227.850301 \nL 263.446354 228.178024 \nL 257.471895 228.290098 \nL 251.448912 228.183229 \nL 245.384564 227.85534 \nL 239.285985 227.305552 \nL 233.160328 226.534263 \nL 227.014833 225.543059 \nL 220.856897 224.334787 \nL 214.694138 222.913494 \nL 208.534455 221.28441 \nL 202.386091 219.45391 \nL 196.257679 217.429473 \nL 188.942754 214.756236 \nL 181.686318 211.832688 \nL 174.50613 208.677355 \nL 167.421121 205.310466 \nL 160.451455 201.753782 \nL 153.618514 198.030365 \nL 146.944898 194.164383 \nL 140.454352 190.18085 \nL 133.146597 185.419066 \nL 126.162862 180.573566 \nL 119.545569 175.685926 \nL 113.338114 170.797396 \nL 107.584385 165.948429 \nL 103.046948 161.85339 \nL 98.902236 157.839876 \nL 95.176748 153.9304 \nL 91.896012 150.146151 \nL 89.519303 147.102527 \nL 87.481422 144.170105 \nL 85.794608 141.358574 \nL 84.470025 138.676732 \nL 83.677936 136.629958 \nL 83.128688 134.674832 \nL 82.826285 132.814551 \nL 82.774142 131.051905 \nL 82.975071 129.389278 \nL 83.43126 127.828649 \nL 84.14423 126.371595 \nL 85.114828 125.019291 \nL 86.343233 123.772526 \nL 87.828906 122.631698 \nL 89.570621 121.596836 \nL 91.566444 120.667617 \nL 93.813732 119.843366 \nL 96.971314 118.959115 \nL 100.508515 118.234678 \nL 104.415672 117.666764 \nL 108.681508 117.251447 \nL 114.255914 116.948184 \nL 120.303558 116.849637 \nL 127.920316 116.980899 \nL 136.095408 117.362281 \nL 144.776543 117.97737 \nL 155.24577 118.945248 \nL 166.215078 120.172363 \nL 179.03917 121.833858 \nL 192.246208 123.763621 \nL 207.204739 126.190073 \nL 222.282962 128.884528 \nL 235.805427 131.519528 \nL 249.149859 134.341282 \nL 262.194652 137.342842 \nL 273.44611 140.159492 \nL 284.296361 143.116287 \nL 293.407529 145.819969 \nL 302.117832 148.634452 \nL 310.389942 151.56203 \nL 317.106426 154.1631 \nL 323.45845 156.850088 \nL 329.430263 159.623789 \nL 335.008569 162.48445 \nL 339.348682 164.934462 \nL 343.402998 167.443865 \nL 347.167754 170.011498 \nL 350.640317 172.63569 \nL 353.819146 175.314217 \nL 356.703838 178.04427 \nL 359.295037 180.82242 \nL 361.594394 183.644587 \nL 363.604497 186.506028 \nL 365.328834 189.401329 \nL 366.771762 192.324403 \nL 367.938373 195.268479 \nL 368.834494 198.226149 \nL 369.46657 201.189343 \nL 369.841601 204.149395 \nL 369.96708 207.097049 \nL 369.850871 210.022526 \nL 369.501177 212.915558 \nL 368.926454 215.765437 \nL 368.135307 218.561071 \nL 367.136433 221.291088 \nL 365.938555 223.943859 \nL 364.55035 226.507608 \nL 362.98039 228.970456 \nL 361.237037 231.320523 \nL 359.32845 233.546015 \nL 357.262494 235.635276 \nL 355.046706 237.576933 \nL 352.688262 239.359888 \nL 350.193938 240.973474 \nL 347.570087 242.40753 \nL 344.822628 243.652427 \nL 341.957016 244.699183 \nL 338.978239 245.539512 \nL 335.890832 246.165912 \nL 332.698885 246.571683 \nL 329.406057 246.75103 \nL 326.015571 246.69904 \nL 322.530291 246.411785 \nL 318.952702 245.886311 \nL 315.284959 245.120692 \nL 311.528976 244.11399 \nL 307.686413 242.866329 \nL 303.758776 241.378855 \nL 299.747433 239.653734 \nL 294.825188 237.274413 \nL 289.786591 234.564821 \nL 284.634105 231.534279 \nL 279.370522 228.193962 \nL 273.093674 223.922791 \nL 266.676495 219.271068 \nL 260.126976 214.264963 \nL 252.492592 208.146602 \nL 243.736031 200.812576 \nL 234.833683 193.06897 \nL 224.821201 184.074702 \nL 213.740168 173.828258 \nL 201.697676 162.391987 \nL 189.867968 150.866956 \nL 178.445463 139.435758 \nL 168.5163 129.189748 \nL 160.092576 120.179473 \nL 153.11904 112.39481 \nL 147.487508 105.784042 \nL 143.05396 100.27007 \nL 139.127501 95.033387 \nL 136.196898 90.78179 \nL 133.693209 86.761763 \nL 131.948761 83.59646 \nL 130.527345 80.604976 \nL 129.439011 77.792208 \nL 128.692353 75.162365 \nL 128.345851 73.1926 \nL 128.225467 71.343717 \nL 128.333389 69.616961 \nL 128.671101 68.013336 \nL 129.239355 66.533599 \nL 130.038161 65.178255 \nL 131.066763 63.947569 \nL 132.323676 62.841618 \nL 133.806632 61.860201 \nL 135.512615 61.002979 \nL 137.437855 60.269386 \nL 139.577839 59.658692 \nL 142.546775 59.066817 \nL 145.831274 58.663528 \nL 149.417954 58.44651 \nL 153.291853 58.413156 \nL 158.296456 58.611662 \nL 163.660044 59.065538 \nL 169.349226 59.769513 \nL 175.328446 60.718239 \nL 181.560337 61.906389 \nL 189.098358 63.588244 \nL 196.863959 65.581003 \nL 204.792523 67.877246 \nL 211.668894 70.081802 \nL 218.576587 72.500347 \nL 225.475539 75.129243 \nL 232.326646 77.965163 \nL 239.092088 81.004977 \nL 245.735643 84.245771 \nL 252.222959 87.68469 \nL 257.486392 90.699725 \nL 262.60151 93.848624 \nL 267.552099 97.129534 \nL 272.32327 100.54044 \nL 276.90145 104.079106 \nL 281.274442 107.742995 \nL 285.431484 111.529228 \nL 289.363228 115.434528 \nL 293.061793 119.455169 \nL 296.520722 123.586906 \nL 299.735008 127.824926 \nL 302.701053 132.163814 \nL 305.416601 136.597502 \nL 307.880725 141.119228 \nL 310.093797 145.721511 \nL 312.057381 150.396126 \nL 313.774161 155.134087 \nL 315.2479 159.925636 \nL 316.483355 164.760243 \nL 317.486108 169.626612 \nL 318.262605 174.512701 \nL 318.819972 179.405746 \nL 319.165903 184.292289 \nL 319.308664 189.158233 \nL 319.25687 193.988888 \nL 318.950556 199.71762 \nL 318.392883 205.346406 \nL 317.599928 210.847316 \nL 316.587852 216.191865 \nL 315.372586 221.351251 \nL 313.969678 226.296625 \nL 312.394221 230.999325 \nL 310.660582 235.431208 \nL 308.782353 239.564845 \nL 306.77225 243.373897 \nL 305.004886 246.282054 \nL 303.160318 248.933762 \nL 301.244274 251.316238 \nL 299.261928 253.417718 \nL 297.217948 255.22747 \nL 295.116465 256.735954 \nL 293.396335 257.720185 \nL 291.643357 258.502589 \nL 289.858954 259.08007 \nL 288.044363 259.450079 \nL 286.20064 259.610665 \nL 284.328669 259.560468 \nL 282.429178 259.298715 \nL 280.502738 258.825248 \nL 278.549809 258.140508 \nL 276.570719 257.245531 \nL 274.060419 255.833714 \nL 271.509861 254.100441 \nL 268.919169 252.051558 \nL 266.288326 249.694226 \nL 263.617311 247.03689 \nL 260.359005 243.465717 \nL 257.042854 239.49519 \nL 253.101369 234.386146 \nL 249.082892 228.798355 \nL 244.399086 221.876526 \nL 239.020377 213.481172 \nL 232.922825 203.507218 \nL 226.096923 191.903429 \nL 217.931239 177.571564 \nL 208.504447 160.56028 \nL 199.267314 143.442504 \nL 191.606798 128.820268 \nL 184.987808 115.704039 \nL 179.919765 105.16975 \nL 175.788792 96.066849 \nL 172.515608 88.318519 \nL 169.997074 81.829194 \nL 167.831457 75.630087 \nL 166.276607 70.559586 \nL 165.016348 65.722597 \nL 164.064476 61.126617 \nL 163.515486 57.485348 \nL 163.194776 54.018994 \nL 163.107053 50.730186 \nL 163.255877 47.621074 \nL 163.643586 44.693392 \nL 164.271266 41.94847 \nL 164.946083 39.884785 \nL 165.773645 37.93901 \nL 166.752652 36.111328 \nL 167.881274 34.401839 \nL 169.157123 32.8105 \nL 170.577256 31.337188 \nL 172.138173 29.981686 \nL 174.281109 28.45254 \nL 176.62866 27.106343 \nL 179.170576 25.942267 \nL 181.89542 24.959439 \nL 184.79065 24.156921 \nL 187.8427 23.533734 \nL 191.037059 23.088931 \nL 194.358361 22.821583 \nL 198.488774 22.733806 \nL 202.749761 22.898992 \nL 207.111281 23.316002 \nL 211.542559 23.983941 \nL 216.012388 24.902111 \nL 220.489438 26.070106 \nL 224.942565 27.48775 \nL 229.341108 29.155061 \nL 232.943278 30.735351 \nL 236.470035 32.489335 \nL 239.905261 34.417237 \nL 243.23356 36.519265 \nL 246.440345 38.795619 \nL 249.511939 41.246413 \nL 252.435637 43.871674 \nL 255.199791 46.671268 \nL 257.793856 49.644888 \nL 260.208435 52.791961 \nL 262.43533 56.11165 \nL 264.467562 59.602808 \nL 266.299377 63.263875 \nL 267.926268 67.092875 \nL 269.344963 71.087384 \nL 270.553396 75.244447 \nL 271.55071 79.560528 \nL 272.337175 84.031526 \nL 272.914181 88.652671 \nL 273.28417 93.418544 \nL 273.450582 98.323001 \nL 273.417772 103.35916 \nL 273.190946 108.519393 \nL 272.671103 114.863539 \nL 271.892127 121.358118 \nL 270.866845 127.985415 \nL 269.609049 134.726023 \nL 268.133328 141.558889 \nL 266.156421 149.616823 \nL 263.928048 157.730694 \nL 261.472988 165.859069 \nL 258.815772 173.95802 \nL 255.562125 183.118658 \nL 252.110006 192.108742 \nL 248.491637 200.854095 \nL 244.736764 209.279113 \nL 241.360553 216.328461 \nL 237.916763 223.023825 \nL 234.419859 229.315727 \nL 231.389934 234.351389 \nL 228.337391 239.02672 \nL 225.268397 243.314552 \nL 222.188324 247.189532 \nL 219.616507 250.086491 \nL 217.042586 252.668403 \nL 214.468648 254.924376 \nL 211.896555 256.844841 \nL 209.841345 258.134132 \nL 207.789194 259.199989 \nL 205.740864 260.039572 \nL 203.697094 260.65068 \nL 201.658613 261.03178 \nL 199.626164 261.182023 \nL 197.600517 261.101219 \nL 195.582481 260.789858 \nL 193.572921 260.249102 \nL 191.57278 259.480777 \nL 189.583083 258.487398 \nL 187.60496 257.272087 \nL 185.639659 255.83862 \nL 183.203176 253.746703 \nL 180.79187 251.330599 \nL 178.409115 248.601482 \nL 176.05867 245.571746 \nL 173.744745 242.254963 \nL 171.02279 237.916543 \nL 170.575506 237.1572 \nL 170.575506 237.1572 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482812 273.312 \nL 395.602812 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482812 7.2 \nL 395.602812 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p828dcfea88\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi8AAAGdCAYAAADaPpOnAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd3hTZRvG7+w9mibdey+6KZS9t7JUhqKoKLgV997o58QFiAPBgai4BQRk77033XvvNvv7I+1pTpu2aZs2Sfv+rgtt0pNz3rbJOfd5xv0wjEajEQQCgUAgEAhOAtPeCyAQCAQCgUDoDES8EAgEAoFAcCqIeCEQCAQCgeBUEPFCIBAIBALBqSDihUAgEAgEglNBxAuBQCAQCASngogXAoFAIBAITgURLwQCgUAgEJwKtr0XYGsMBgPy8vIgkUjAYDDsvRwCgUAgEAhWYDQaUV1dDS8vLzCZ7cdW+px4ycvLg6+vr72XQSAQCAQCoQtkZ2fDx8en3W36nHiRSCQATD+8VCq182oIBAKBQCBYQ1VVFXx9fanreHv0OfHSlCqSSqVEvBAIBAKB4GRYU/JBCnYJBAKBQCA4FUS8EAgEAoFAcCqIeCEQCAQCgeBUEPFCIBAIBALBqSDihUAgEAgEglNBxAuBQCAQCASngogXAoFAIBAITgURLwQCgUAgEJwKIl4IBAKBQCA4FUS8EAgEAoFAcCqIeCEQCAQCgeBUEPFCIBAIBALBqehzgxkJBILzUN2gRXZZPa4V1+BqYTXSSmqRVVqHwqoGFNeoYTRavy8OiwFvuQABShFCVGK4SXlwl/IRrBIjSCWCkEtOdwRCX4F8mgkEgs3R6Q24VFCNw+ll+PFIFq4W1fT4MbV6IzJK65BRWoddl4utfl2Yuxg3xHrhxngv+LoIwWR2PNGWQCDYF4bR2Jl7G8enqqoKMpkMlZWVkEql9l4OgdCnqdPosP1iEZZvu4K0klp7L8fmRHlKsXR8GEaEqcBlkyw7gdCTdOb6TSIvBALBKqobtNhwNBtv/HPR3kvpNS7kV2HRumOtnl82cwBmJXqDz2HZYVUEAoFEXggEgkWyy+rw5C+ncSitzN5LcXgmx3jg5Rui4SHj23spBILTQiIvBAKh09SodVi26SJ+OJxl76U4HZvPFWDzuQLq8V1DA/HUpHASmSEQeggSeSEQ+jHXiqox7oM99l5Gn0bAYWHrYyPgqxDaeykEgkNDIi8EAqFNLuRVYcrHe+29jH5DvVaP4e/spB7vfGIUApUiO66IQHB+iHghEPoBRdUNmPHpfuRVNth7Kf2e0e/tAgAMD1Xis1sTIeVz7LsgAsEJIWkjAqGPYjQa8dW+9H7VHeSs/LBoEIaEKO29DALBrpC0EYHQj6lq0GLEOztRUae191J6BD7H5LfSoDXYeSW2Y/6XhwEAj48Pw4NjQsBgEKM8AqE9SOSFQOgjnMutxLRP9tl7GT0Oi8lAjJcUuRUNKKlR23s5PUKCnxxf3TEQChHX3kshEHqNzly/iXghEJyczWfzcd/3J+y9DEIP8eeDQxHrI7f3MgiEHoekjQiEfsAvx3PwxM+n7b0MQg9z46f7AQDf3DkQo8Ld7LwaAsExIOKFQHAytpwrwJLvjtt7GYReZuGaowCAtXelYGSYys6rIRDsCxEvBIKTcCq7AjM+22/vZRDszB1fHwEAbF86AiFuEjuvhkCwD0S8EAgOTmWdFnGvbbX3MggORpMz8plXJhCvGEK/g4gXAsFBMRqNGP3eLmSU1tl7KQQHJvaVrUj2d8HPS1JJizWh38C09wIIBEJrNhzNQuCzm4hwIVjFscxyBD67CdsvFNp7KQRCr0AiLwSCA1FRp0H8a9vsvQyCk7Jo3TEAwMXXJkHAJROtCX0XEnkhEByEZzaeIcKFYBMiX9qCd/+9ZO9lEAg9BjGpIxDsTFFVA1KW/WfvZXQaCZ+Nx8aFYVqsJ9JLanExvwqnsivw+6k8ey+NYMbxF8bBVcyz9zIIhA4hJnUEgpPw1C+n8dOxHHsvo1MwGMDcgX54YkIYdVFUinkoq9XgfF6VnVfXMyT4yVFUpUZuRb29l9Jpkt7YjgdGB+PJiRH2XgqBYDNI5IVAsAPO3v48MkyFSE8pIj0lqG7QYf2RrHaFC5fNhEbn3IMUh4cqMSxEiQ3HspFWXGvv5XSJC69NhJBL7lkJjgmZbUTEC8GBOZlVjpkrDth7Gb0Cj20qq1ObCRe5kAODwYiqBp29ltUtmAzA4MRnzRW3JmLKAE97L4NAaEVnrt+kYJdA6EXe33rZqYULi9k5HxG1zkAJF3cpDyoJD5X1Wkq4uIq4cJPw0Nv2JGyzn4PPYUIm4IDDsm4RzixcAOD+70/gqV9Oo4/dtxL6GSTyQiD0ApX1WsS96pxpIhGXBQaDgXqtHnobXbmVYh54bCYKqxqga9ynTMCBXMiBVmdAXmWDTY7ThJTPht5gRK1GDwAQ89iQ8NmobtChRu2cESBbcOWNyeCyyT0swTEgkRcCwYHYdDbfaYULANRq9KhR62wmXACgpMZU/KozGMFjMxGoFIHBADJL65BX2QAmAwhSiRCsEnX5GF4yPpoCLFUNOvA4LHjJ+JDy2ahR65Bf2dCvhQsAhL2wGeklzlm/Q+jfkMgLgdBDGAxGDP3fDuTbOIrQG0j5bPA4JpOz4mp1rx47SCmCzmBEVlmzu7CEz4a7lI9rRTXtvtZNwkOR2Xq9ZHxw2UyU1mpQ7aQ1Nr3B4hFBeGZyBBkvQLArpGCXiBeCnSmv1SDhdWI4111C3cTQG42oqteipEZDPe8u5cFFyIXRCKSV1ECrN53GRFwWPGR8AEBWWR31PME6yJBHgj0h4oWIF4Id2XGpEHd9c8zey+gSvgoBmAwGMh1wppKEz8a0WE/MiPfGwAAFmI05oZIaNTYez8H6I1lkFpQN2HhfKpL8FfZeBqEfQmpeCAQ78fQvZ5xWuABAdlm9QwoXwNSZ5KcQwc9VSAmXpueHBCsxLtLdjqvrO8xeeRAfbL1s72UQCO3SK5GXFStW4N1330V+fj6io6OxfPlyDB8+vMPX7d+/HyNHjkRMTAxOnTpl1bFI5IVgD4xGIwKf3WTvZXQJhYgLTxkfV4tqHM5IzlXEha9CiAv5VdTaGAwgNcgVA7xl0BmM2HGpiFZ0KmnsJLJ1x1J/w1suwL6nR5M6GEKv4VBpow0bNmDBggVYsWIFhg4dis8//xxffvklLly4AD8/vzZfV1lZicTERISEhKCwsJCIF4LD0qDVI+LFLfZeRp8mzF0MNpOJouoGWu2LOQO8ZWAyGahp0OK6kzrgOiLX3pwMNosE6Qk9j0OJl0GDBiExMRErV66knouMjMSMGTPw1ltvtfm6uXPnIjQ0FCwWC7///jsRLwSHJLusDsPf2WnvZXQJVxEXHjK+w80jYjEZiPKUgs1iQK014EJ+59fHYjIQ4yUFj82C3mjExfwq1DV6vBA6DxnuSOgNHKbmRaPR4Pjx45gwYQLt+QkTJuDAgbZdRtesWYPr16/j5Zdf7vAYarUaVVVVtH8EQm9wPLPMaYULAJQ60CDFQYEKDA5SINxdAr3BiLO5lTiZVdEl4QIAeoMRp3MqcSSjDMczy1Gn0cNDysegQAUkPDLbp7MkvbEdFxzkvUIgAD0sXkpKSqDX6+HuTi+kc3d3R0FBgcXXXL16Fc888wy+//57sNkdn2TeeustyGQy6p+vr69N1k4gtMcvx3Mwe+VBey+jS/i4COAmsf9ddKKfHBK+6TN+OL0Mh9LKkNcDU5sFHBaGhSgh4LJwOL0M1f3cmK6rTPl4L7aet3zeJhB6m15JZLYs+DIajRaLwPR6PebPn49XX30VYWFhVu372WefRWVlJfUvOzvbJmsmENrixd/P4YmfT9t7GV0mp7yeZuRmL05mVyBIJcbIMBWS/V0AoEeERb1Wj33XSpBeUgsGAxgWosSEKHeMiXCDt1xg8+M5EgoR16b7u/fb4/hs5zWb7pNA6Ao9Gj9VKpVgsVitoixFRUWtojEAUF1djWPHjuHkyZN48MEHAQAGgwFGoxFsNhtbt27FmDFjaK/h8Xjg8ex/F0noH8xbfQgH00rtvYxO8+TEcNw9LBA/H8/Bi7+fs8saor2kCFCKACOQXV6HMzmVOJ1d0atrMBqBfddKaM/x2EwMDFAgp7yuz/nElNVaLm7uDu/+exkX86vw6fxEm++bQLCWXinYTUpKwooVK6jnoqKiMH369FYFuwaDARcuXKA9t2LFCuzYsQO//PILAgMDIRK1P+uEFOwSegKj0YjwF7ZAo3esVmJHh8EwiZZzuY5ZLzEu0h0cFgOH0kpRXqe193KcijB3MbY+NtLeyyD0ITpz/e7xyrWlS5diwYIFSE5ORmpqKlavXo2srCwsWbIEgCntk5ubi3Xr1oHJZCImJob2ejc3N/D5/FbPEwi9hTN7uACm2pITWRV2ObbRCFTUaTFlgAfYTCa2XShEvdZxun62Xyykvpby2RgSrISIx4YRRvx6IteOK3N8rhTWIOjZf3B92RTiBUPodXpcvMyZMwelpaV47bXXkJ+fj5iYGGzatAn+/v4AgPz8fGRlZfX0MgiELqHVGxD6/GZ7L6Nb9LZwmTLAAwIOGwVV9TiaXo6c8nrklNu+ENfWVDXosP1iIXQ2nJ7d1zEYgcBnNyH9LSJgCL0LmW1EILSB3mBE8HPOG3FRinkoqemZwlwmw3Thag8PKR9avQGlPVB30dNMiHKHu5QPg9GIzNK6VnUyzoSHlI+Cqp53GyZmdoTu4lAmdb0NES8EW+DsrrkSHrvXWoJX3JqIyTEeuFpUgz1XirH7SjH2XnXei31buEt54HNYDjv7yREgAobQHYh4IeKF0A3qNDpEvfSvvZfhVHjJ+BgWqoSEz8GeK8W4WlRj7yXZjHGRbnhmcgSCVWJklZmiMM//Zp+Ora7QW5GXJq4vmwIWk6SQCJ2HiBciXghdpFatQ/TLzi1cuGxmjw9YnD/IDzw2E5cLqnEso7xPdmFxWcw++XP1BpdenwQ+h2XvZRCcDCJeiHghdIEatQ4xTi5cehuVhIdiBzC8swVsJgNCLgtVDe2n26I8pYjzlYPFBLQ6IzYcI8aYliAChtBZiHgh4oXQSWyRKuJzmBBwWHbzCxngLcPZ3Moe2//8QX7gspjQ6g04llGOy4XVPXas3sLHRYCKOi1q+vDIAAbD1LJuD4iAIXQGIl6IeCF0AlLjYn96I9XVRLyvHGdzK6G3QUv04CAFIjyk0BuMuFZU45Tuyz3N1Tcng0OKeAlWQMQLES8EK1Hr9Ah/wTZdRQwGEOYm6fWIBI/NhLqHLvzDQ5UIUorAYDBwraimV1qGUwIUOJJRZtN9DgxwwdGMcpvu01noauTFS8aHEUB+ZfeLfUkXEsEaiHgh4oVgBRqdAWEvOLcBXV/nxjgvbD6XD62+c6cpHpuJeF85DqfbVgS1xwBvGVICFSiv1eBQWinybHDR70ukLZsCJulCIrQDES9EvBA6wGAwIsiJDeh6Em+5AAMDXOAi4uJsTiWOZTpGxCLZ3wUX86tQq2l7vACfw0SD1jE6hOxZa2IL4nzluFpYjbp2ft+dhTjxEtqDiBciXgjt0JOzilKDXJ267sHZL7iOQpyPDLE+clwprO7V6I+jI+axcfaVCUTAECzSmes3SUIS+h0py/7rsX07s3AZFKjAbYP8Eenp+KI/SCnC1wuT8f7NcfZeikVO51Ti20OZlHAR83p8jJzNmRDlbvN91qh1mLP6kM33S+h/kMgLoV+xcM0R7Lpc3GP7n53oAw6LgR+POo/3h5jHdopWYRGXBTcpH+kltRa/76g/x9gIN7hJeTidXYkL+VX2Xo7VCDisHpsAPi/FD2/NGtAj+yY4L525fjvf7QCB0EXe3nypR4ULAGw8kdOj+7c1Md5SJPi6IKO01uHnEdVq9G0KFwAOKVwA4L9LRfZeQpfoKeECAOuPZCFYJcKi4UE9dgxC34akjQj9gg1Hs7Bq9/VeOZanjN8rx+kO3Ma21XO5Vfj2UKbDCheZgNPl144MU9lwJbbh7mGBmJPsCynfce8bozyl2Pf0aKy9K6VHj/PGPxfx95m8Hj0Goe9CxAuhz3M4rRRPbzzbK8caHa7CwWfHYuN9Q3rleF0hwkOCOQN9MS/F195LaYWvQoBJ0R7U48r6rrsV777SHGWLcpA6nq/2pWPDsewORxDYiskxHh1v1IJ5Kb7wcREit7zequ3Zje3PXanBffCHk7hc4PxOzYTex3HlP4FgAzJLa60uEAx1E0OjNyCztK7Lx9t5uRjTPtkLgQNbol8qqMYlB71gZJfVI7vMuotmZ3C0WpMB3jLclOSD3Ip6rN6T1mPHKa3VdPo1IxojVjusTHfxOSzUqHUQcFio0+jBZJjqZWo1enw0Nx6P/Hiq3ddPXL4HB58dA0+ZoNNrJfRfiHgh9Fkq67UY+e4uq7e/WlRjk+Oey3WsC2UT944IglzIwTtbLtt7KXZFLuTARchtt36mpzmbW9mjc6gAk1/PxbzOvRf9XYXwdxVBrdNjfwduykwGYDACOoPJV0fMY6NOo4dMwKHme7kIuVYdN/WtHTj/6kSInLAri2AfSNqI0CfR6AyIe3WrXY7NYzPx0dx4DA1xtcvx22L1njSHES4To23fhmstFXVaSrj4Kux/t//YuDD89eAwvDA10qb7FXBZqO5kEXNmaR2GvPUfwl/Y0mHBbtNoqCZTwKLG6eLmg0mvNd4QWJNSin75XxhsMG+K0D8grdKEPknAM/906XURHhKHTal0ljB3Mb68fSCq1Vp8uTcdv53MtfeSCBbwkPLx1cJkRHvJsPF4Dp7aeMYmQyOdERchBydfmmDvZRDsBDGpI/RrbvvycJdf21eECwC4S/n460we3t58iQgXK5kyoPMFrt2loKoBN686iP8uFmJ2kg9W3JpIdYP1Nl/enozVC5LscmzAFLV54+8Ldjs+wXkgkRdCn+KnY9l46pczXX69hMfudKjdEoFKEd6aNQAbjmb3W+EQ6SkFkwGc72TdRX+FyQBenBaFuQP9sHLXNXy845q9l2Q3flg0CENClPZeBqGXIbONiHjpl1wqqMKk5XvtvQy7s+bOgSit0eCJn0/beylOD5fNhEbX/qBHJgPgsXvOjbY/wmMzcfzF8U45VoHQdUjaiNDvqG7QEuHSyJ1rjtpUuIh5bKvTGMND+9bdcpNw4XPoPz+XxYSriAsumwmD0eRG23Kb7pIa5Ao/hdCm+2yP3+4fYtOU0eAgRZdfq9YZ8O6WSzZbC6HvQcQLwelp0Oox4BXbdRaNjXCzyX64bCb+fmgYHhkbapP9dcTcgT1jOlej1kGjN13E5UIOJO24wzqqU293kQu4eGvWAPy8JBUpAQpo9AaU1mrAgGnmEtDcdWMrDqaVwt+198TLzBUHcO+3x222v0Np3ZumvfZgJnY66WgFQs9D0kYEp8ZoNGLku7uQVdZ1Y7m+QIy3FOnFtajV9F7qYl6KL25O9sXy7Vex50rPzoyyBwoRF+5SPoqqGiizt0ClCEvHh4HDYuLNTRcoQ70mzxNnhsVk2KzLyZb7euemWNyS7Hhu0ATbQ9JGhH7Dvd8e7xHhMi3W0+b77EnO5Vb1qnABgPVHsjFrxQFKuHBZzF6NFPQEChEXkZ5SqCQ8lNVqcDG/CkYAQUoRJDw20ktq8dD6k/hg22VMj/Om/Et6Wrh8v2gQBga49Mi+A1yF2PnEKDw7OcJm+5zUhbEEbfHUL2fwkxNNaSf0DiTyQnBa/jiV26H1uCOw+ZHhKKxqwMI1R22+7z8eGIov96Xjr9O9M+DugdHB+GyndQMuVRIeihuNyxwZb7kAUgEHxdVqlNSY1usi5EAp5qG0VoOyLljsE2zPmjsHYnS4bVK6BMeEdBsR8dLnuVpYjfEf7rH3MqyGwQD61ietc/DYTBiNoGpn7E2QSgQOk4ncinrUNLbGuwg5UIi4KK/TdlqwRHhI4OMiwPaLPVujEekpxUUHm9PUkpuTfPDz8Zwe2ffep0bDtxeLmAm9C0kbEfo0DVp9rwiXpePDbLYvWwuX3urquTHOC+Ojum/lr9YZaMLFVWTdzBtbIeGxMcBbhkhPKVhMBtKKa3G5sBoyAQdh7mK4NoqW68W1XYq0XCqo7nHhAgAX86ts+refHu+F/c+MoYYx2oKeEi4AMPydnajv5fQowTEhkReCU6E3GBH83CZ7L6PTvDkzBnE+ckz7ZF+39xXlKXW4KcndIcRNTM3AsSVRnlJwWAyU1GiQW9E8qTpYJQKLyUB2WX2PebPcPyoYK3ZZl14jdA4pn43TL08Aw5qBSQSngkReCH0WZzVee/63c7j96yM22VdPC5fFI4N6dP8tMRcuER6SLnubRHhIMDTEFQl+cjAYpt/T6ZxK1Gv1iPeVI85HBgC4XlyLK4U1PWoq1xvCZdGwwB4/Rme5f1Rwjx+jqkGHx530PECwHSTyQnAaumv93xFuEh41GbeJabGeYDEZ+ONU7xTEtsfikUH450w+csrrO964DxDV2PWzu5027PFR7qjX6HE4vRRavelUxmUxMcBHBhaTgazSOhRUNfTWki0yLESJslqNw0XLXrkhCrG+csxaccDeS+kS39w5EKNIAW+fghTsEvHS50grrsGY93d3+nUCTrNte7BKhOvFtbZemtUoRFx8NDced6891qHlfG/iLRdAwGX1SOrGlqQEKiDislDVoMOJrHKqjojLYmJgoAt4bBbyKur71HDNnqQvTFA/8MwYeMkF9l4GwUYQ8ULES5+iVq1D9Mv/2nsZNiPMXYwrhY4tFByR4aFK3BjnhYkxHqhV6/DnqTz8djLX6S/AfYEnJ4bjr9N5rf4WSjGPaj/vKkoxD9UNWqjbEPxpy6aAyST1L30BUvNC6FP0tHDxkvGpr4eGuFJfJ/k3m4L9eO9gmx2PCBfrmB7vhUfGhiLOVw7ANHrgyV/OIPmN7Xj1zwvwVQjx2vSYPjdPqTd4Z3YsBgV2ffZQSz7YdsWiiOxIuIS5i6mvQ93EFrcpqVG3KVwAUwdSH7sHJ1gBibwQHJpX/jyPbw5kdPp15vbk4e4SXC50nLvzmQneKKxqwIHrpfZeisPDZTExLFSJCA8J1DoDdl0usmvqry8QqBTBTyFst5bIkYjzleN0dkW727wwNRKLhvduoTnB9pC0EREvfYK9V4ux4KuOO3QClSKklzjXBa0zTrX9hUClCOOj3OEp46OgqgHbzhcizcn+rp3F2c0LxTw2/jc7Fg/8cAIAEO8rx6lGoZESqMCRdNNwRncpD4VVXUsfSflsBCpFqNPocbWduqyfl6RiYIDtokmE3oekjQhOT2mN2irhAsAq4eKraC7qMzddu22wH/X1vBTT1wIOC+MiTdsEKUXgc0wfk2mxnlg8wjZ3d70tXIKUIvDYjvVxnxDljhemRmJkmApcFhPpJbVYvScNr/51Ab8cy0GQSgRPs5ReZwlSifDKDVGI8Xbcm5jeFi4cFgNzbDjksEato4QLAEq4AKCECwCLwkUu5FBfz4j3or6eGE03Raxq0OF0TmW7wgUAbl51EJV1WqvXTnBuHOtsRiAA0OkNSHpju9Xbi3ls6mtfhQBuEh4A4L5RwRgbYWqlnBjlgTGNX3vK+FSdhFZnRISHBIDJwt5bLkC9Vg9vOR9cFhNpJbWYHucNANh2oRC3Dfantm8aQshgAF3xy7KFc621pJXUtls3YA+2XijEx/9dhUzAwSs3RuOtWQMwZYBpoF9prQbbLxYhv7Lrbc5pxbV45a8LOJfrWC3K7eHj0rOdM2/PisWGY44x5LDCTGj8bmZF8O/5QurrhUMCsGCwP2YleCM1yBUdEffaVhicfbw3wSqIeCE4HIu/Pd6p7U+9NB4fz0sAALAYDLxyYzQA4NcTOZjbGE356Vg2FVn58Wg25g40fb3xRA5uHWT6+ocjWZgz0HRX+vupPMxKNImWoxllSPJ3gVpnwLv/XsazUyIBAHkV9fCS8WE0du0O2pZ3wJZQink9uv/OsmCwPz5fkISP5sZjdqIPXIQcVDXo8OfpPDz321k8++tZbDpb0OPrkPDZHW9kJ3raw8eW5m4fzY2nbhzMRdek6OaJ0vMHNUc2b0n2ob42LxYWcVltHuObAxn49lAmfj2Zi3N5lVata/F3nTt/EJwTIl4IDsW3hzLx36WOZ8SsvSsFAo7ppHe9uBZjI9zAYzORUVoHDxkfLkIOCqvU0OoNCFKJUNWgQ1pxDVICFNDoDDicXorhoUroDEacy63C4CDT82nFNQh1E6Oy3nRX6CriIq2kFgGuIjAYwJ+n8yDmsTE2wg1avRF6oxFd7dK83yzc3hN0t0XV1nx7KBOLvz2OZ389i6oGLRYOCUR8YydRb1LdoKO+nhbrCe9+4hMiE3A63sgCisY5VJ4yPlSNUc0HR4eAz2GhRq0Dl8VESqMY8ZYL4CIyHSfSU0qJ+jhfOXX8OF85RjdGQYNUIrx/SxwA02DMvx8aRh33yYnhWDgkAIMCFRBwWLS/W3tsu1CILed6XgQT7AsRLwSHIaOkFi/+fq7N708Z4IFxkaaT3tXCagxsPGHuvVoMEY+NsY3f+/1kLnXH9/W+dCwZabIs/2JvGm4f4g8AWHcwE4l+plboDceyEeNlso7//VQeor1MNRI/Hs3GyMaBdZvP5VN1MK/9fQEvTIsCl8VEYZWaOqF3VsQ4klFdTzAu0h2v3hiNH+4ZhPdvjsPMBG+4irio0+ix7UIhPtx+hVYjYQ2KDgY6dnbg499n8mlzj/oyTYK8M0j4bOp1KgkPxdVqeMsFuHtYIF7/+wIA4IY4L2w6mw8AuCnJBz8dMw1mnDvQFz81pqjuHR6E7w5lAQDuGxmML/emAwCWjAzG53vSAJhqzpq2nxDljgdGh+CVG6OxYXEqzrwyAben+lu97iXfHUdOeV2nf16C80DEC8EhqNfoMeq9XRa/d3fjDJfc8nokNnqvHM8sp4TF2oMZOJpRBj7bFIlZdzAT2y+YojfHMsupkQIlNRo8+MNJar8f/XeV+vrLfenU1+b5919P5gIAdcEFgNPZFRj93i5qSnJTMaI9U+0sJgPJ/i60IsjeRspnY2BA8xq2XyzEy3+ex/wvDuPZX8/it5O5KO3CxGZzOpr43N39PzYujJbe6M8wGM2WAyFuYsrH5YWpkVh7MAM55aa0aXWDFg1aAwYGuOBEVjn0BiMmRLlj79Vi6A1GjG/8ul6rR4KfHDnldSipUcNLxoeXTICTWRXgspm4JdkXv54wfd5uTw2grYXDYqKh0Sn7/lHBGBXe8RTsYf8j/i99GSJeCA7B8Hd2tHquyTyuqTD2alEN2I3hjc3nCvBF4x1bdlk9bl51kBIaABzK16WnkfLZCHeX4FhmOa0IsrcJdZcgJVCB5XPi8eO9g/HkxHDqe01Cz9H5cPsVKnLQ35HyOaio04LLYsJoNEKjM2B4qBIx3jKsbBw8OTHGA1svFILBAIaGKLH3agkAIDnABdsvmm4gRoQq8eNRU0TljtQAvLf1MgDgkXGhWL3X9Bm+KckHuy4XoUatQ5BKRDOLBACDwYhdl02+NCmBClxtNHpccWtiuz/DhA/32OJXQXBAiM8Lwe58tP0qPtx+hfacQsSFl5yPc7lViPWR4UxOx8V6Q4JdacZvj44LxfLtpujKO7Nj8dRGUwRmWqwnTmVXIKe8Hm4SHsI9JNRJd3yUOxVhuSHOC3+dzoNCxEWUpxT7rpWAx2ZSXTtcFhODghTUa+2Bq4gLFpPRaqBkT8NgACNCVVCIuDiSXmaT1IuUz0a1Wtet9mFzc0JbMGWABxL9XPDGPxdtts+uIuCwoNEbbPrzdZZQN3GHLctdgcmgRy4fHhsKpZgLHxcBfF2EKKhqwIKvjkDCZ2PbYyMx+K3/AAC/3j8Es1YcgITPxtBgJbacb13rsnxOPGYkeNt8zQTbQ0zqiHhxGs7nVWLqx/u69FoBh4VYHxkON/pJ3DrIDznl9b3qHNod8y1bYC6mehMmAxjgLUNygALJ/i5wl/Hx7/kCfL47zWbH8JYLUFmvRY267ULNnrqYOirObmpnC7xkfOQ1ttCvvDUR931/ArE+MoS6SbDxRI7F39F/j49EsMry+AGC40DECxEvTkGDVo+Bb2xHdTsXJ4JjIOCwkBrsChGPjWMZZd3yX3E0OCwGtHrrToMhbmLMHeiLlbuud7u+xtm4I9Ufaw9mAjBFRpvqjyZGu1PeLEvHh+GDbaYo6sNjQvDF3nTUa/WYleCNkloN9lwphpuEh0XDA7Fs0yUAwKrbkrCksb3ZVyHAzHhvlNZqUFytRk55Pa4V11hV3O7vKkRmaR2GhyotRkOvvDEZXAczaiTQIeKFiBen4LOd1/Duv5dtus+Xb4gCm8nAi3+cBwA8NSkcuy4V40hGGVyEHDw0JhSvNXZJvDkzBs//ZupumpXgje0XC1HVoEOinxxsFhNH0ssQ4y2FkMvGkfQyiHls1Gv1dg3b9zaDAhV4eGwohgS7gmHmxHelsBpP/HzaqnQe0DmB0NN4ywX9psPIVgwLUWLftZ5Pj/oqBPCRC6GU8OAq4kIp5uLA9VIqHfzC1Mgup/CivaT4+6FhtPcxwbEg4oWIF4enRq1DTCemRZvXMkyP98J/F4uodMLkGA9sbvR1YDBMF6eeNvtqya2D/PD94axePWZPkuTvgicmhCM1mF44WVjVgDX7M/D94UzKd0PCZ0PEZaOgyrbRmDB3MQoqG1DVjr9HgKsQGaXtt8QGqURI68Fhji9Oi0KDVo+v9qV32A1FsB0LBvvj20OmSJCPi3Wf+Q/nxGFmAukmc1SIeCHixeGZ/8WhDqcq+yoEyC4znZDMB74Repb3b47DrERv2h3q1cJqrN6Tht9P5VIRFHcpD3IBF5X1WppwSfCTw2Aw4rSVURlr4bAYEPPYKLfz/BqZgAMOi4mqei3VRRWoFOHOoQGorNPiq/3pdu36sjWJfnKcyKpo9bz557OpuB0wOeleK6rBiawKDAl2RWqQK97fdgUMBrD+nsGYu/oQAFNUNLusHuuPmET/z0tSodYaUFqrRkmNBqU1auy8XIyL+bYb7yDhs7H3qdGQCzvnB0ToHYh4IeLFYTEajfhw2xV8vONat/Yj4rJQq9FTj+ck+1IzW96cGYMhwUr8cjybGoD454NDceOn+wGYhsDxOSyqffOjufF45MdTAIBXbojC6j1pyKtswMwEb5zOrkBaSS3cpTwUVav7TbGkn0KIWB8Z1DoDDqWV0txN3aU88DkslFSrqb+BhM9GnI8cDAZwMquCiopxWUyMCFNBbzBg5+XeK6RuDy6b2SmDQDaTgVB3CTQ6PbLL66nXinlscNlM1Kp1VNG0n0KI21P9Ud2gwzcHMrpkDGdvJDw2VYf28NhQ/H06r1eme0v5bEgFHEj5HMgEHEgFbNqco9emR+OlxnTwwiEB+OZARpeO8/DYUCwdH2aLJRNsDBEvRLw4JEajEW9tvoTVe7rWkfLqjdF4+U/TyWt4qBJ1Gj2OZ5YDMHW+nM1tvtO3V43F1wuT8cY/F3s0TWFLeGwmZiV6I8RNgvO5lTiVU9GptXvLBVBJeGjQ6ikTM8AUiYjylMIII/ZeLaGJn5RABRRCLrZdLOyV+qGuRO0iPCRwEXJRUa+l3fl7SPngsBkor23uguKwTBGqlu+3cHdJv/Ib6k24LCYV9UoJUOBIRlkHr6Bz9pUJkPDtZ+hIsAwRL0S8OCRrD2RQ4sNaunOHRbCOQKUI0V5SxPrIUFCpxp+nc1FS07XajdQgV/A5TGSW1dFEkLdcgGEhSrBZDBzPLKcJHQGHBaWES6Ug2sLfVQgRl40L7aQRJDw2AlUiqwuJm4j2ksJPIUSdRo+D10upC6OYx0aEhwQGoxEX8qvQoDU931TnU6fRtVuT09cJVIqQ3hiVifOVo7xWg6yyOnjK+Fg8Igiv/GUqjv9pcSqe3ngG6SW1mBHvhSkDPHFv4wDWtXelIFglQoPWgKoGLarqtahq0OHh9c1u2KPDVTaP3B17YZzDDS/t7xDxQsSLw3E8swyzVx60alsJn23VEDY/hRAMBpDZWLC5fE481h3MwImsCsgEHGx9bAS4LCaWfHcch9PLEO0lxVuzBlDpo5dviMKZnEr8djIX/q5CvDY9Bnd8fQSAKR//zhZTJ1Rf9BIZ4C1DQVUDinvY3G5ClDskfA7yK+txMK2USrtxWAyMiXBDtJcMNWodtp4v6LDw1lbwOUyMCnODi4iL4uoG7L5STEVNuGwmBgUqwGExcb24hnpvAabC3waNnvIY6SyzE32w6Ww+6rX6jje2Mx/NjcfuK8X49UQueGwmGAxQws3W8DlMsBgMcNhMiLhsiHgspJfUUn+TAd4ypJfUUpGuHxYNwvwvDwMwpfSCVeIuRbiCVSL8cM9guEv5tvthCN2CiBciXhyKOo0OUS9Z31nUklHhKsoafOWtiXj4x5PUiW1arCf+PpNPbSvmsds1NbM15oZZ5u2kz0+JxJub7O/K2pIgpQhTYz0R6SlFmLsY/10swlubL/Xa8QcGuCDORw6D0TRQ01wU8jlMjI10R6KfCzQ6A3ZdLsKRjLJu1xkND1Ui2ksGtU6PnZeKaCJJJeFhZJgKHBYTp7MraFEdP4UQOr2hy2KF0POwmQzozFKPtyT7dGq8g7dcgG1LR0DIZffE8gidhIgXIl4cBqPRiMBnN3XqNX4KIbR6A2WE5iHl27wNtzcIVolw3UlqX2yBuZCzFi6LiZHhKkR4SKAzGLH3ajHO5dLTQtFeUkyI8oC3iwAHr5di44m2L05cFhO3DfYHl83EjkuFuFLYLI54bCbGRrohUClCeZ0WW84V0Fqbw9zFUOsMtGhLT+KrEKCwUu00c5/aoqW1v3mq9/2b4/D6PxdQUadFgp8cz02JxM2rTBHYF6ZGYsoAT+gNRhiMRmj1BtSo9dh0Np+qi1s8Mgg/H8uh/k4x3tJW74+2sPa8EekpxeZHhnfiJyb0FES8EPHiMHyw9XK3O4ta0tIw6/2b4/D4z6cBmHLwn85PwKwVB6DWGTArwRtvzIyBzmDEDZ/sQ2ZpHW5O8sGtg/0x4zNT+mjZzAHYcr4AexrHCpgXBveWOVdPMTbCDS/dEAUpn4NLBdVYsetar81iCnMXo6RG02nvEyYDSA5QYGSYCmIeG5cKqvDfxSLa/CYGw1QQy2ExoTMYkV9ZT2tPlvDYGBvphjAPCSrrtdh2vpDWMSPhsTEoSIFrRTW9lq5yBsxbngFAKeaipEaDwUEKZJbWIb+yAXIhp9Xvuqk7yVPGb9N9uWWXl0LEBZvJAJvJAIvFAIfJhN5opIlH86irl4yP6Qne1FDIl2+IwvXiGnx3yNRqnRrkioNp7dsvtMVj48LwyLjQLr2WYDuIeCHixSHoTJ1LSwYGuOBohqmTKMpTiuenRuLWxjx3kr8LvOQC6iTL5zDBYTLbHTMg5LJQp2m71qC9mTFh7mLqDj7OR0b5l4wMU+FcbiVKazVOL3I6i6uIi6oGbac6uoRcFpRiHrLK2hcLfA4TYh4bVfU6WlRCxGVheKgK46LcMTpcBVezYkud3oBjmeXYcq4Am8/l0+ZNCbksjI5wg0rMw87LRb0WWXE2FCIuOCyGXWd1dQdzobN4ZFCn52zteHwkgsj8I7tCxAsRL3anqkGL2Fe2duo15nUivV270lcQcVm4fUgARFwWrhXV4PdTeR2/yAZI+GyoxLwe8QPhsZl49cZozEz0Bo/N6nB7g8GIk9nl+P1kHuXA2pM40ugDe2JeaH/n0ACs2Z8BwPRZfnZKBDWK445Uf8xN8QODAegNRugNRugMRmSU1GLpT6YI6pQBHghzl1BT4X1cBAhxE1PipDN0ppX64muTIOB2/B4j9AxEvBDxYleMRiOS39hu1eC66fFe+MPKC6x5uFrEZWF2kg/WNQ6KSw1yxc3JPtTJb1aCN25K9sH8L0zRmvmD/HD/qGDUafSY8OEeACYvj7uGBuKpjWcAmAbMncutoubejAxT9eqEalsQ6SlFpIcEQh4Lv5/Ms4kAFHBY0BuMna7NiPaS4nye7dxRg1UiDA9VYUSYEqlBylYXGZ3egNM5Fdh/rRQHrpfgRFZFp8zoCK1RSXhUR9pNST44n1eFi/lViPeVQybgUJ+Pe4YH4ou96QBaz44aEaaiUrKAqYBaozPAaDRFPBkMgMlg0By3J0S5Y+uFZoO6h8aE4BOz9PPPS1Lx7K9nca2oBkFKEe4fHYInGlPH3cFbLsD+Z8Z0ez+ErkHECxEvduWtTRfxuQUjOj6HCXcpHwoRFyct2I235IkJYcitaKDsw7+6Ixkf/XeV8vC4a2ggvt6fTm2fEqjAkfTmOyylmIeSmuYQuJTPRqi7BKezK6gOhZbponGR7th+sfmkOSnaA1vOF1DreX/bFRiNprvHQ2lluFxYTTvB9xeaJvh2hkQ/OaoadLjWTts5kwHMGehnmmDNZeFMTiX2Xi3GqewKWlEoj83EkGBXhHlIwGYycK2oBgeulbZKHbpLeUgNckVqsCuCVGJsv1Bo8b1J6DuYT7YGOh/FffmGKNw5NLAnlkboACJeiHixG+fzKjH1430Wv9eyK6GJWB8ZJUhenBaF1xunPgOtWyEJjklXJjWzmAyMDneDq4iL9JJanMgqp/2tGQyTx8fQECXiGkcV7LxU1GEqbHKMB4aGKBHgKkJRdQMOp5XhcHopKcztBcxN6wC6uVxKgAI3JfmAw2aAw2KCyWDAaATKatXUFHhvuQAPjQnBM7+epfbRsn4lwU9u1c2PJQQcllU+OzufGIVApahLxyB0HSJeiHixC7VqHaI7mBTtLRdgSLAr/rtURHWhWHtCAVqnIm4b7Ifc8nrqBLlwSACkAg4+/s+UK58R74WUQFc895vpZBjjLcWDo0NQr9XjsQ3NYeZ5KX5UhIdAx13K63QRp6vINPiuo9ShmMdGor8LBgUqEOsjQ4PWgIPXS7HvWjGtzdkWMBlAlJcUgwJdMShQAX9XEa4V1eBIeinWHuz52hhnxdyKf3ioEllldcgsrUOUpxT3jAikPkfv3BSLFTuvUSLRfBYRADw3JQJqrQFqnQFqnR4GoynqaR49nT/IDz+YTWdfPCIIh9PLqPEOz06OgFpnoCIrP9wzCPkVDVS34awEb/x6MteqnyvRT47rxbVtzp+6vmwKWEyGxe8RegYiXoh4sQuDlm1v8yLHYJjajqsadDibU2ExAtPEfaOCqXbIuQN98fDYUAx5ewcA05ya+YP88NQvZ6jtHxgdTA1gBIBZid749UTzCWxEmAoHr5dQRZWpQa5I9Jcjq6ye6lgKVIoQ4y2jHj85MRybzubjfF4VPGV8vH9LHBZ+fRQavQGLRwRh3cFMp3BK7QnML2bWEuEhwbNTIiHisnAssxxH0stwNKOslZOymMdGnK8MDDCQWVbb4cgAmYADJgMdTpoeHa7CnIG+KKnR4FhGGY5lliOnvPW+FSIuahp0NvFeYTEZvTK7qScxb4N2BqbGeuKfRtPK4aFKDApU4L2tJqHj4yJo9TdvrwsxSCXCjsdH9eh6CXSIeCHipddZtfs63u6EU6u5gVtKoMnT491/TXb8Sf4u1MBFR6WtDhNnrn+RCTg9PgVZwmcj2d8FAwMVSPZXgMtm4lRWOf44nddhKmBEmApV9doOhyyKuCx4yQUdjnRgMoBwDykGBrggyd8FsT5ylNVqcCKzHKeyK7D7SjHpeLMBLkIOhgQrwWMzweMwwWOzwGMzUVmvpSa7A8CSkcFYtbv5JuT2VH+qIB/ovufSuEg3bL9YBAAYE+GGE1nlNL8aS6y6LRGTYjy7fExC5yDihYiXXuVaUTXGfbCnw+2mxnoiSCmCkMtGfmU97cTUES1TSxOj3fHv+ebC2ntHBGHT2XzqzuqWZB9odAaqPiLUTYxhoUqqfRMwpYo0OgPNsbUrtRt9ma64G8+I98LMRB+Eu0uQXlKL45llOJJRjhOZ5Q4lBkRcFgJVIijFPFQ36HA2t7JVdxKDAQSrxBDx2LheVONQ67cXEj4bYh6bMqP76o5kPPrjKVSrdbgxzgsPjw3BjZ/uR51Gj4VDAnDPiCDUa3So0+hRq9ZDqzdAZzBg0dpjVAT2ndmx+GJvGiU4X5gaieIaNVXrsmhYIFKDXXH32mMATJ/d56dG4qaVB3CpoBoRHhI8NCYUD/xwglpne59lKZ+NlEBXCLgsFFU14HB6263Uh54dCw8ZmX/UGxDxQsRLr6HVGxD6/Gartm3Z/dMe79wUi7TiWqzafR1cFhOHnhuLjNJazFpxAACw8b4hCFSKMOb9Xaio0+KZyRFYPCIIt355GAeulyLRT46fFqdi1e7reG/rFYh5bGx6eDjSSmqwcM1RAM13VZX1Wkz5aC9yK+oxPd4Lj44Lw7SP96JWo8eDo0Mg4LKoqNBtg/0oR09C+zAYJtGY5O+CBD8XxHjJsPtKMf63pfdmKTXhIuRgaIgSJ7MqOhSn46PckeAnR7yvHOHuEuRW1ONMTiXO5lTiZHZ5p2pxnNkDpimlMi/FF3+eykNtY3rFvKuvpUBo6aLbW7Qc5rpwSACuF9dQbtIfzY3HIz+e6vL+05ZNAZPUv/Q4DideVqxYgXfffRf5+fmIjo7G8uXLMXy45VkSv/76K1auXIlTp05BrVYjOjoar7zyCiZOnGjVsYh46V1GvLOzQ8dUczgsBqK9ZI1hehlW7U7DxfwqzEzwxvs3x2HKx3txqaAaD48JwaPjwnDDp/twPq8KE6Pd8ei4MNz//Qmqm+GTeQlYfySL8odYMNgfQi6LaoX1kvGxZFQwrWjw0/kJ+HTHNVwqME2hXb0gCSFuYlwprMaS70x3bW/PGgA+h4VHN5wCgwGsWTgQv53MxR+n8uAu5eGjuQm465ujqNPosXhEEE5klVNuwM5KVyJOYh4b948ORoKvC6K8pMgtr8eJLFOE5XhWuVWt1AGuQjCZDKR1MAOKwQDuHBKIslp1h91G7lIehgQrcTG/ivo7dwUBhwWdwWBRfLiKuPB3FbZb8EkwwWUzIeSyIOSwIOCykF1WT6spapkmHh6qpI2w8HERIL+ywWb1Qw+MDoaXXICCygbsv1bSqg3fEpNjPLDytiSbHJ/QNg4lXjZs2IAFCxZgxYoVGDp0KD7//HN8+eWXuHDhAvz8/Fpt/+ijj8LLywujR4+GXC7HmjVr8N577+Hw4cNISEjo8HhEvPQev5/MxaMbTlm9/YZ7ByPOVw4+x2QuptaZhrA1dSvMSvDGP2fzoW68c3OkNmnzsQCAKTXSdBF9aVoUPth2pc+lFDoaqWAOkwGEuUsQ7ytHiJsYlfVaHE4rs9rZ1NEJcBViaqwnBnjLEesjg4jLxtncSlzIr8T5vCqrjRb7EqFuYirNMzDABQoRl0rlfjIvASPDVRByWGCzmNRrGrR6zPhsPy4VVGN4qBJr70zB/7Zcwud70uAi5GDLoyNQXK3GjM/2Q2cw4qO58bgh1guzVx3AyawKTBnggRW3JuGzndfw7r+XwWIysPG+IfjjVC6VEp6Z4I3/LhaiqqH9zyOPzUSinwvCPSTUIMn2WL0gCROiPbr2yyJYhUOJl0GDBiExMRErV66knouMjMSMGTPw1ltvWbWP6OhozJkzBy+99FKH2xLx0jvkVdRTHUDt8cuSVCz46gjqtXo8MjYUBqMR5/OqcL24BtlldR3e8bSkpY9EkEoEHpuFi/nN7dOTYzyw+VwB9diSUy6fw0SDtvnur73ZRgRgdqIPbojzRLSXDEwGcC6vCudyTamUs7mVHUZtvGR8jAx3w+WCKpzookdHd0nyd0GdRk97r3QFHptJCeyWtNVh5Ozvr4fGhOBSQTW2XSiEp4yPzxckYeGaoyir1WB2og/uHBqAWSsPQKMz4JnJEVgyMtjifl796zzW7M+AXMjBnw8Mw9ncSqpO5bkpERgRpsKNn+yHRm9ApKcUn81PwLqDmZS42PzIcDAYwI2f7odGZ8DyOfGYGuuJKR/txdWiGtw3KhhPTQzH9M/240xOJRaPCMJ9o4IR/9o2AKZBk2HuEpzLrexQ3Fji5Ivj4dJoA0CwPQ4jXjQaDYRCIX7++WfMnDmTev6RRx7BqVOnsHv37g73YTAYEBAQgKeeegoPPvhgq++r1Wqo1c11FFVVVfD19SXipQcxGo0IfHZTm9+/Ic4L2y8Uol6rh5TPbvckIeKyqFw6YCq8LalWU14NP947GEoxD5OW74HOYMQLUyMxMdoDMz7bj9JaDVxFXKy+PRm/HM/G+iOmzoUP58TBVcTD7V8fAWDqUlk2MwYv/XEeOy4VQSXhYeujI3A4vZRKFa1ZOBDJAS7IKa/H5I/2Uut5cmI4Ve8COFY0yBawmQyoJLw2JwFbQiXhIdZbhlB3CYqr1cgsrcWxLnSHecsFmBDtjgt5Ve0WTAKm98mMBG+U1KhphdqW4LKYuD3VH2qdocdnGzW140Z5SRHlKYNKwkNGaS3O51Xhh8OZOJTm/JGn4aFKJPsr8OH2K+Cymfj6joFY+tMpasr3C1Mj8cY/F6nt56X4oU6jQ02DDtVq0/9r1LpOpZetpWWty7AQJdJLaikx/dasAbhWVIOv9qVDJeFh39OjwWOzYDQakVZSi0Nppfho+1XaxPKOIPUvPYfDiJe8vDx4e3tj//79GDJkCPX8smXLsHbtWly+fLmdV5t499138fbbb+PixYtwc3Nr9f1XXnkFr776aqvniXjpOe74+ojFmT+eMn6HF8Gbk3wwwEeGEJUYEj4HGr0eBZVqWpdAy0hJyyiJrWi5X39XISI9pMitqMfZXFOKSMpnY1ykOyWm7h0RhDqNDt8dyoKAw8KKWxNx5zdHbb42e+GnEOLlG6IwIkyFijotLuRX4UJeFc7nVeJCflWHtSmAaQq4iMfqlTogPocJBhh299zxcRFAIeLiamGN3dfSV2h5Y2ML35wIDwlC3MTUv2gvGX46lo2Vu67DTyFEdnldhxGyu4cF4sVpUd1aB8EyDideDhw4gNTUVOr5N998E99++y0uXWq/62D9+vVYtGgR/vjjD4wbN87iNiTy0rtsv1CIReuOdeo15ndm/q5CCLlsZJbWWl1PYYmW5lkclulOyLy40k3C69QdFaEZDouBEDcJIj0kCHWXoKJeg2uFNdhztbjT3TMMhmnQnouQS/P16G0kPDa8XQQoqdFY3fXWVeJ95Y3RGCkiPaUIcxeDz2Fh7YEMWpSiLzHAW4bBQQqIeKZWalNLNQdsFgOLvz0OwHSDs/G+IfjxSBY+3nENTAbw54PD4C0XYPJHe1FQ1YCbknzw3s1x+Hz3dby1+RLEPDb+fWwEhBwWRjd2F941NBCLhgfi0Q2nqM6nD26Jwxd706m04KBARYcRPXP8FEJo9QbkVza0mpPWkh/uGYQhwcpu/LYIlnAY8dKdtNGGDRtw55134ueff8bUqVOtPiapeek5Kuu0iHttq1XbWjMtmskAPGUCeMr4cJPysOlsc53KqtuS8P7Wy7haVAMOi4H9T4/B1aIa3PqlaUr0urtSMCTYFbNXHcTp7AoMC1FizZ0D8d/FQioVtPauFNO06VUHcDqnEgl+cnx79yD8dDQbrzXOT3puSgTcpXxaG+WTE8NR1aClzVMxn2jtjLCYDBiMRuquUiHiYu5AX8xI8EZ1gw6XCqpwKb+a6tCxpvhYJeHBRcjpso3/rYP8wOewsOlsfocRuyClCCPCVCit1VAuyO0xK9EbQUoRfj2Ri7SSjqNFtsZbLkCMt0m4FFWrcbmgGlcKqp3KrbYlT0+KoNrcn5oUDn+FiIqYPjkxHKPCVais16KqXoeqBi2q6k3/PjabBj3AW4ZrRfTolJeMj7wO/v4t07VKMRclNc2jJ7gsJgYFKaguJQmPjcfGh1Gf88kxHlg6PgyZpXW4VlyDa0U1uFpUg9MdGB62x+mXJ0Am4HT59YTWOIx4AUwFu0lJSVixYgX1XFRUFKZPn95mwe769etx1113Yf369ZgxY0anjkfES89gMBgR9FzbdS6A9d0pn8xLQIibGBwWA0XVahRXq1FRp8XeqyXURGcJjw13GZ82gdhFyOnQBt4akv1daDUak6I9UFKjpp5L9nfBg2NCIOaxseS7EyipUSPMXYxv7x6EW788jGtFNVCKuZgW62VVl4Kj0eRlE+AqBINBz90XVjXgt5O5+Pi/q12KjMX5ysFlMbqVMuKxmeCymFZd6P0UQoh4bKh1eqtSWvaGzWQgWCVGuIcE4R4SXC2s7rD1m2AbGAzAVcSDt4sAQUoRgpQibDyRQ81i6ija0hIRl4Vzr05s9RkidB2HEi9NrdKrVq1CamoqVq9ejS+++ALnz5+Hv78/nn32WeTm5mLdunUATMLl9ttvx0cffYRZs2ZR+xEIBJDJZB0ej4iXnuH9rZfxidkdlDUoRFxq+OITE8KoGSPOTHudJs6GiMtCiJsYPgohMkpqcSG/ipbv57KZGBzkCj6biYo6bZfbnsdFuiHYTYw/TuZ12q3X1njLBRDz2EgvqbXJ/KLO8sjYUMwf5Ad3qcmxNeCZf3p9DT0Bj82ETMCBVMCBlM+GVMBBVmkdFfUSN0ZCzCfGfzY/EfmV9VQa7c6hAVg4JAAv/XGeqnn788GhMBqB6Z/tBwDcGOeFB0aH4LW/z2P/NZO/00dz43G1sAaf7jSdn4JUIiT6ueCX483O2Z0ttE/0k1vVFXffqGA8PSnC6v0S2sehxAtgMql75513kJ+fj5iYGHz44YcYMWIEAGDhwoXIyMjArl27AACjRo2ymE6644478M0333R4LCJebM/5vEpM/XifzffL5zDhJRPATcqDi5ALuZALvcGAn46ZTjojw1S4a1ggHl5/EpX1Wkj4bPz14DCczqmg0jzL58RjZJgKi789jiMZZVCKefjt/iG4XtzspDst1hOLhgfhuV/P4kJjPvyB0cFQaw34cl/zRNuZCd74zWwiLYvJAJvJ6DNiZVCgwlRUWlSD9JLaLhU/xvrIEOMtg9FoxLncKqqwubMMDHDBjfHeOJtTQf292yMlUIFYbxkKqhrwd+PgvfYYEuyKOQN9cTyzvFNjKGyJhMdGoEoEvcGIrNI6KpLEYADh7hKU1mqcbg7W4CAFrYNq22Mj4KsQUt5NRqMR1WodrhbWYPbKA9R2H86Jw/82X6bE68gwFWQCDv40SwFasjSI8JDQjAajvaS4XFBNEyLjIt2piC0A3D8qGN8eyqS6kNbelQIfFwEYAOo0emSXmUTVmv0ZNql9+vuhYYjx7vjGmtAxDideehMiXmxLR23RneHhsaH4+L+rAEwV+3MG+qK8VoPyOg3KarUor9Ogok6DL/Y2C4pITynqNDqaW2u4uwSXC5tPaBI+G2wmg5ZSGhjgQktdKMVcjAxzo80xenZyBM7lVVE1FPNSfHF7agDuXHMUBVUNSPSTY/29g2EwAF/vT6daplueLJ2JjfcNwfHMMqw/kk3zy+kqDIYpzZbaOHjvckE1/jmb3+WuEBchB3wOCwygwzoIAPBVCKAQ8aA3GHAut3v+Ld3FWy5AlJcURiNwMb+qz8/IivGWwl3CR0W96bNbWadFRb3WoSdpc1lMeMr58HERUJEbNwkPD44JoZy4W7ZfW8P5VydCxGPbfL39DSJeiHixGTd8sq9Td9fmd0qzErxhBKhoRqyPDGdyunanbk8S/eRwEXLx36Uiey/FaVCKuRgb4Y5Efzk0eiO2ni+gWb7bb12mmgcui4GzuZVdbsEXcVkYHqqiJnFvOV/Q8Yv6IVyWaZK0uRiYP8gPPxxung82d6Avor1lePH3c9RzK29NxPXiGirVPCbCDQsG++PVv85TNSpvzIhBdYOOKiKWCzmYn+KHFbuaJ1PH+cpNN0i1GquLpSdFe1B/z5aRn7aYEe+F5XM7doAntA8RL0S82IQfDmfhud/OdrjdmAg37Gi8sEd5SqnUjDUEKUVwEXHhIuRCIeJALuRCxGUjq6yOipJMjfXEzHhv3Pf9capNd91dKcgsrcWLjXdLk6I9cHuqP97afIkSWw+PDYW7lIfnf2s+Kd49LBCH0kpxPq95jdbmtwndR8xjIzXYFcNClI1Tv3Npf4u2mBrriWgvKfIrGqwynvOWC7BkVDB4bCa+3pferRlHHlI+RkeoIBdyUVytptVS9FcWjwwypXoFps+sXMiBi5CLv07n4dOdphborxcORIKfCyZ8uBuFVWrIhRysui0J/10spKKrKQEKTIvzpM0fGxfpDgmfTUvhzkrwxq4rxVQNnauIi7GRbrSU46JhgTiZXUHNSVoyMhiDghSQ8NiQCTiQCThQ6wzIq6jHnNWHqNfF+8pxyoquo46GbK66LQmTYsj4gO5AxAsRL93mUkEVJi3f2/GGHeAq4qK0trmlcd1dKdh/vYRqQ/7y9mQYjEZU1GlR1aCFWmdAg1aPeo2eVo+SGuQKjd5AG+DWMn0T7i5BjLeMlhq6c2gAGrR6yn3XQ8rH/26Kxe8nc6mT40dz4zEq3A3zVh/ChfwqhLiJ8eXtyfhibxq+b7xDHBfpjuQAF7y9ufcnIjs6TdGHjmAygBA3MWoadKhqdF1tiYDDAp9jmoVjTWeZr0IAmYADnd7Y7RoSdykPo8PdEOsjh0anx3+XiroVLVJJeE5X02ItXjI+npkSidIaNcpqNSit1WDr+QJa+7Ij2gu0FCBJ/i5gMRhUMfo7N8XiqV/OdHn/p14aD7mQjA/oKkS8EPHSLXR6A0Ke39zl1382P5HmmHtLso9VRZmOxtRYT/xjVhy6cEiAU7ZGOzoeUj4WjwxCuLsExzPLceB6KY5nlUPTQ4XSw0OVGBXuhlA3MbLL67DzUhG2X+x6SjDJ3wW+LgLsvFxMJky3g4DDovm7JPm7IL+inlbbtGhYIH47mUvd8IyNcENSgAve2dLsxv7kxHDklNdj/RHTjYWIy8KC1ACs2t2cLkoNcoXeaESt2iSSK+q0nf7bDAl2pSbWd4Yrb0wGl83seENCK4h4IeKlW4x5f1enPTMWjwyimbp1BiGXhUGBCkgFHPDZpjtvPpcFPpuFa0U1+OesSUDE+8pxU5IPXjDLjT81KRxGI2jzhx4ZG4rD6aW0roipAzyp/TTR0qWX4HhMi/XEoEAFkgMUYDEZ+ONULlbuum7VQM97RwRhQpQ70oprceB6CfZfL+1WJMRXIcDYCHewmQxaVLA/M3WAJzgsBs2r5pN5CTiWUYa1jV1eb88agFuSffHg+hPYdLYAQi4LP9wzGAw0t0Bz2Uysui0Rp7IrqaJ+b7kAC4cEYM3+dErgTI31RIhKjI8atwFM54DT2RXUzKtZCd4YGa6iHH5N/2eDx2Zi95ViPNkYWVkyMhhnciq6JFDaY2K0Oz5fkGzTffYXiHgh4qXL/HQ0G09ttC5symUx2/TKMBcGDAbw+vQYSnTMHeiLpePDMHf1IcoHYsWtiVDr9KjXGFCv1aNBq4dGZ4DRaMSnO69RF6vJMR5wEXFpBX+PjQvDhfxK6uQV4CrEg2NC8dPRbCoc/OqN0RgWqsTSn07jdHYFXEVc/PPwcADAtE/2oaRGjQBXId6/JQ5f7k2nplKHuokR7SUlRmJt0NHgTXPifOWQNnZynMmp6PRE8ZY0mY4BgN5ggE5vbFOMspgM8NlM2qyctmAzGZgU4wFPGR9H0stwuhtF5o6YOrElG+4djAVfH6GiZLcO8sOVwmpap98Ab1mXW+p7ktQgVxxMaxYuK29NxH3fmyLGTV1sXXXg/WhuPKbHe9timf0KIl6IeOkSuRX1GPr2ji6/fnaiD1Vv8soNUfjtVB714Q9Siuxi094Rli4ui4YF0u6sHx0XiuXbr7Z8KcFGDAtRYtHwQBRXq/H5njSaq3JbRHpKsXhEEEZHuFEW7UajEaeyK7B6TxolPtuDx2YiykuKOrUepbVqWr1GZ0nwkyNYJcbZnEpaGz/BOgKVIlrrfrK/C9gsBi16enOSDw6nl1HTqSU8NqbFeVL1bIDJy0jAZUGtNaCmMWVU3aBDjVrbqc6ylimuu4YG4uv9nYu2HX9hHFzFvE69pr9DxAsRL52mK3Uuyf4uKKxuQHaZyc/CmqnS5rQUDpGeUvi4CCDgsCDgsMBhM8BiMMBgMJBfWU9FVgBTSuCHw1lU0WeAqxAJfi60DgV/VyGYDIZN/EwIvQ+DYSoGZjOZYDMZaNDp7R7FiPCQICVQAYPRiO8OZXX8gn5ESwO7ZyZHoLRGTXUWDQ9V4p2bYrHjUhHVAfj+zXGYleiN1/++SImDT+YlwFchxIIvD1ORtJW3JqJGraNSPiIuC8tmDcDW84VUOvjuYYEYFqIEk8kAh8mAgMuCkMuGkMuCWqfHxOV7oTcYcUeqP8ZHeeC2rw5Ta70hzsuqmVkAMCJMhT0tzPTaIm3ZFDCZZHyAtRDxQsRLp3lo/UmrPrxiHtuqoX0AMDTEFdll9dSd0ifzEsBhMajBiW/NGoAkfxdM+HAPAFPty0dzE0wpAIMROr2x8f+mO6a/z+Rj3zVT98fsRB+MClfhqV/OUHdIK25NhKuIi3lfHILBaJp789v9Q1DdoMPslQdQWqvBlAEe+OCWeOy6XEStY2iIK+an+GPZpouUsZivQoBApdjqkxShfQKVIqQEKKDVG5BZVkfrGmsLDouBGG8Z4n3liPc1ee0cSS/Dqt3XrbJ6Tw1yxT0jAhHuIcX53Eqcy63E9otFVrXyR3tJMTBAAY3egD1XipFT3nXDuf4w3fzI82Mxe+UB6kbm6UkRqFFr8dnO5iLaMRFu2HethFaIbY+6s5YmdFMGeCCvooFql/7i9mTsuFRIRXSS/F2ser9aYmaCNz6cE9/dJfcbiHgh4qVTbD1fgHsbR9Z3ljgfGVUT4CHl4+N5Cbjl84PU9+cO9MWPR5vDuiIuy6q6g55mUKACh82GsEV4SDA70QdvbrpIPffVHcm4e+0xeyyvX7FwSAAmRntArdPjdHYlTmaX41hGuVUimctmgskAtHpjp5xdmQwg1E0CPoeJ8jqTQ2xnXVVbEuMtRYhKjNyK+m4NpuzPcNnMVl1mYe5i2uRymYCDcA8JbYhinI8MDAYDeoPpfaAzGFCnMVkumFs1dIWxEW6UQWXLESLWsOHewRgU5NqtNfQXiHgh4sVqKuu0iHtta6des3R8GD7YZnK+9JDyUVan6VZba8t0k7dcAB8XATgsJjVfiMEA9AYj6jR6muiI95UjrbiGVjRqq+nThM7jKeOjok5LqxdwRMZGuMFXIYSEz0ZlvRbncitxNreyXROyJpL8XRDrI0NNgw4/E8O6VkR6SnHRLLo1OcYDoW5ifGw22PWbOweCyWDg9q+PADC5b/+8JBU55fWY8dl+VDfoMC/FD6/eGI0dlwqpKOlDY0IwPd4Ly7dfpWZcrV6QhACliNo3kwHw2CxKCN346T6U12lxS7IPnpgQjkc3nKI6jF6aFoV1BzMo197OePP4KYRUVLkjTr88garNIrQNES9EvFiFwWBE0HPWzS2y1GrcFi1ddt+cGYP3/r2M8jotxDw2djw+Escyy3F/Y2X/R3PjEeMtw4xP96NarYNcyMFXdyTDaAQYDJNwYTIYYMD0/5zyOqorYHKMB16bHoP910rw6IZTAEytmXNT/PDVvnRqiu3/ZptSVE/+cgYnG9105w/yg5eMT5t2HeImRoNW3600gbUk+7vgWBfD0c7GzARvzEvxQ5SXFHkV9dh9uRhf7E2zKp3CYzNxz/AgjAhTYduFAny1L92qTqVoLynuSA2ASsLDhqPZVlv4x3hLEekhhbuU32h814A9V0t6zHemL5Hx9lS88ud5yg9p6fgwhLmLKfEBmD6zAg4Lv5pFMLxkfNRr9b1+02Fev6IUc/HyDdF4aP1JACb333mDfPHYhtPdPo6Uz8aZVyZ2ez99HSJeiHixCvOTjCWsnevxyNhQ6AwGKr/9/JRInMwux6azpouFUswDn8OkCQIGA+jpd567lIfCquaLY4ibGLHeMtpJ85GxofCS8/H0RtMYhCZx9drfF6yaXkzom4i4LLhJ+VCIuMirqLe6ED3ORwZvFwGthoLQc7iKWrvZ6gxGaHQGm0f/HhsXhhW7rlFT5n1cBJ26yXl4TAiWTgi36Zr6GkS8EPHSIaeyKzCj0SDKWszz0c9NicCyTba1yrfUtuzvKoTBaISh8abXYDTCYDRCb4BNxtkTbMfUWE8MD1EiwlMKVxEXm8/lY83+DKsv/FI+Gw06Q69EOELdxJgywBM8DhNH0suw67J1hdnDQ5WI9pJBKeaisKoBmaV12HrBOSeM9zSWPs+3DvKjRm4AwPR4L0yI8sCnO69RqaZP5ycgwc8FT/1yGvuvlULMY+Pfx0ZAKebils8P4XR2BWK8pfhlyRDwOSyLxy6pUWPS8r0oqVFjTrIvnp0Sgf9tuUy58r5/cxxyK+qp9Le7lId4Xzmto7EzhLqJcdWKFv9tj41AqLukS8foDxDxQsRLu1Q3aDHglY7rXCZGu9M+zO2Z0rUkzlcODymPev3UWE/cOsgPD/5wEmW1GgQpRfj74WE4kl6GhWuOAjBV+acGu2LR2qM4lFYGpZiHvx4aChGPDSaDAQ6LAS6LCQbD1Hqo0xtw5zdHsfdqCZRiHn5Zkmo61sd7UavRg8VkYM3CgSiobKAZ790zPBBXi2poF6wglajTrsIEU32BtXWyTZOYRTw2Kus1Vlvye0j5uHtYIBL95dh4IpdmUNgeMgEHtw7yQ5BKjHO5lTYf7aCS8NCg1Xe70Lcvcn3ZFOy5WoxFa49BbzBiXoof7h4WgO8OZVF/hwHeMtwY54XvD2dSNScsJgNjItywrYUgbOkDA5huprR6Q2N6GWAA1LnBvHhbyGWhrkWTQEqgglbw++i4UPx+Mpdax+8PDMWxjDK88Y+pgL8zo0FaFhi35Oqbk8FhkfEBliDihYiXdhn/wW6r7hIsVf6bY27eNjJMhacmhWPqx/uo7y8eEYTP9zSPDPCWC1Bco6bts6NjWILDYoDDYoLDYqJeo6cJqgHeMlTWa2mFdPeOCEJOeR2VxhJxWVi1IAnZZfXU1Ow5yb54e/YALP3pdKe7CfoTo8JVGBigQLBKhAatAZcLq/HtwUyr2+edARaTAbmAA5mQgwaNnjZ7pz1Gh6sQ6yMHn8PC/7aQAZ59iaEhrth/zVTkm+zvgkkxHpSw6SwhbmJsXzrSlsvrMxDxQsRLm3yxJ43WDtwR5lOhx0e5w08hxFeN7rMBrkLqToXQN+GyTQZxLe9c28JbLsCdQwPgLRfgz9N5VjndAiZHUzGfjQaNHg06vVVdP92BwQDuSA1AsJsYVwursf5IVo8fk9DM4CAFSmo0NDflh8eGIq+iHr80dnC5CDn4cE48zudVUbPLxke54+lJ4dTNC5vFAAMMGGEEjMClgmqqg+neEUG4bZA/XvzjHHY3FuV+OCcODVoDnv3VdNMi4bFx62B/2lDHYJUI1zsRhTWPyoi4LKh1hg59iFbdlohJMZ5WH6O/QMQLES8WySmvw7D/7bR6+0nRHvB2EVBixRqivaQ4n9fcafTg6BBkl9fhj8bZQA+MDsa4SHcsWnsMpbUaasZQbkUdZq80+cM8Pj4M94wIwlf70qmT1s9LUhHuIYFGZ4BWb4BWZ4RG3/i13oBNZwuoE1BKoAI3xnlh7YEMKsLEZjIwZYAn/mxhxNeVyE9/4OlJEXCT8FBQ1YDrRTW0IueuEucjg4eMDz6HhYySWqtnBnnJ+Lh9SAAiPCT450x+p9qTb0n2QZi7BEXVavx8LNum3SwsJqNT3jL9kb8fGgYRj4071xxBRmkdIj2l2LB4MEprNBj7/i4q5fjJvAQUVaup7kDANDgxu7yONtl9TIRbY81bk5+LEYbG/1fWa2mppVgfGc60eI+NDFNRQgYw2f5fyK+knIEfGhOCgQEKSgDdOsgPk2I8sOCrI9Rr2ksxe8sFiPCQUL4w7XHshXFQkvEBNIh4IeKlFda2RVvKD5vDZTEh4LKo8fKrbkuCRm/Aw+tPgskA/nxwGPxdhRjz/m4UV6vx8NhQLB0fhpf/OIe1BzPhJuHh30dHQK0zYNJHe1BRp8XiEUF4dkokvj+cied/Owc2k4GN9w1BrI8M96w7ju0XC0138g8ObXdWyKc7ruK9rVeoWpcRYSq89+9lfLrzGthMBtbelYKhIUr8b8slrNx1HWwmA9/cmYLkABdEvLil87/Ufkqcjwwjw1SQCjj47WQuTaz2FdwkPChEXEgFHKSX1HZrGjWh7zAvxQ855XXYe9Xk9L1s5gAq9dwVMt6eaqul9QmIeCHipRUL1xyxuqOC9rohAYj2kuKzndeQUVqH2wb74fXpMZix4gBOZ1fgjlR/LJ0QjnmrD1HeLm/OjMFPR7OpO+sIDwlUEh71gQcsT5r1lgsoe37AFNJlsRi0joU4HxmEXDY4bCa4LCZ4bCY4LAb4HNMcE/PhaYtHBiHB1wUv/H6WGrr37d0pSPZX4OmNZ/Dn6TyIeWx8v2gQpney84pgmamxnpgQ5Y5rRTVYfyTL6mGHriIuOCwmGnR61Gn0vRINGxykwMRoD1Q36LDzchHl/0PoXVoObY32kiLSU0qljwDgtsF+CHOXgNtkXMligMVkgsVggMVk4JsD6VT05PHxYYjxkeHOxkYAwNRdlFdRj/cbu4tUEh7mpfjh4/+aB64m+bvgYn6V1SlSgF6wPj7KHYl+Lp2qd7oj1R+vTo+xevu+DhEvRLzQOJRWirmrD1m9/evTo/HiH+cBALufHAUxj431R7IoM7eWA9ickd7wmekL3JHqj5+O5djEM2NggAuEXDYA4ExOhdUpnGCVCPMH+cNbzsemswWtUn/tMTxUiYEBCugNRvx3qRDncm0XJRI21jeQ1FHHPDw2FGMi3LBy1zWqA3H9PYORGuyKD7Zexsc7roHDYmDdXYOQGuyK5duvYPn2q+CwGPju7kHt2usfSS/DvC8OQW8w4vXp0ViQGoAVu67hnS2XwWMz8eeDwxCkEmHu6kM4nlmOQYEKrL9nMI5nleOWzw/CaDSNAhkd7oZbPj+IY5nlGB/ljk/mJeDDbVeopoOHx4Ziw9EsmneULfj7oWGI8ZbZdJ/OChEvRLxQWGv//+n8BDz4g8lZ8n+zB1CmbdYi5bNpFv2jw1UQ8thUvtpDyseTE8Px+Z7rVBvhO7Nj4S7j447G/LKIy8K6u1NwraiGOv6gQAUenxCOTWfzqaK44aFKzIj3hkZv8gTR6Axo0OpRq9GjVq1DXkU9LefsLRegvE7TqTsqgmW8ZHxMT/CGv0KI/y4VtWpp7SuwmQx4yQVwEXJQr9W32/pK6JhApQgLhwTg5T9NN0Xv3xyH2Uk++OV4Dp742eRg+9yUCEyO8cQ3BzKoOrtR4SrMTPCGWmtAg05v+r9WD3XjZz67vI5m53BLsg/2XS2hdYhNj/eiau4AU4TEQ8rHt4cyqeeWzRyAf87mUR1FX9yeDJWEh1s+PwiNzoBlMwdg7kBfTPtkHy7kV+GB0cF4aEwolW7msplI9nehxg50lmtvTgabtE8T8ULESzNhz29u05vF3PK/5aDClnjLBcivrKdCpC9Oi4KYx6JExuszYhDlKaGKbgHgmckR+OloNhUSTvSTI8BVRCv+HB2uQkZpHa3QbkyEG3aYiQ8hl4Ub47xoAx6HhrhicKArBFwWRDzT2Hsht+n/LJTUaHDPOtNQxRFhKqxZOBBZZXWY8dl+VNZrEawSYXq8N2VSReg+4e4SzEvxBZfNwpbzBZ2ayK1odEpVa/Wo1+qt9o7pDgoRFzcn+8BbLsClgmr8cjyHFG/3EpaKaR0ZX4WAmpgNmBoR8irr8euJXHBYDJx4cTwkfA7WHczAS41R6878jJ4yPg4+O7ZH1u5MEPFCxAsAYPWe6112wZ2T7IsNx0xiYXaiD0aGq5BdVkd1/wCtByo6Oi3HBRB6jyCliOo0KqhsoM2+6ogYbynmDvSDi5CLP07ldsrRNkgpwthIN8iFXFzIq7J6Ppe1iHnsPuVx40hEeUoh4LLA5zDBY9P/z2UxsfZgc+TkpiQfeMn4tOGPj48PQ3mdllYH98jYUPx2MpfygQpUihDrI6NFZvxdhcjspAWEUsxDuIeYitzMSvBGcoCCKua15Dbckk/mJeCGOK9OHbevQcQLES/ILK3FyHd3deo15tbdnfU6aKLlPKSpsZ7gspg047eXpkVh15Vi6s58VLgKk6I98OY/F1HdeCFYPCIIHjI+Xv2ruXXy9lR/MBkMmtPlqHAV2Ewm6jQ61Gn0Zv83fd2gJXfStoLLZmJarCdC3STIKqvF+iPZHb/IiVGIuFCIuJDw2civaEBBlfMIdUfG3NxSKebhp8WDodEbsOCrIyiuViMlQIEvbk+GRm9ArVrXKl2k1hnwwbYr1DiB8VHuGBjgQrtRm5PsCzcpD5+YiZnFI4NQWqOhCoElPDaenhyB9UeyqI65ZTMHIFglwpzGGsFxke54bkoEnv/tHA6mmYTJXUMDse5gRodeLk0wGMBAfwWOZJR16FJ+/IVx7XZU9nWIeOnn4sVoNCLwWeumRYe7S3C5sOPhiwAwK9EbXjIBPt1pOiEwGMC+p8dg1+UiPP/bOQDAyzdEQSnmUZNZAVMue9flYiof7CXjY2qsJ77Y23xHNCJMBV8XAW3uyd3DAqE3GGli5eUbolCv1eOdLaYIEJvJwIbFgyHlc8DnsCBoTBsJOCwwGCYfjuXbr1AnsRnxXvj9lPUFnwTr4LKZmJ/ih2gvKc7mVuKnY9mdEo58jslvp7drX1MCFRgd7obqBi1OZJU7fSG6s5ESoEC1WkcJEWfghjgv/NVYNB7tJcWrN0ZDZzB2qimiPdLfmkKNOehvEPHSz8XLorVHrZ4b0x5f3ZGM1XvSqFqYu4YGorRWjTM5la3mjDgaLCYDEj4bEj4bUj6nT3qROBOpQa6QCznQG4w4m1vZqXRjgp8csxN9IOax8c/Z/E4VCQu5LNwQ64UQNzEKqxrwx+k84tniJDAYgLDxhoTHZoHHYbYyh5sQ5Y7jmeWUCzhgirr8ejKHckz2kPIxMdqdlmZKCVRAymfTzpNxPjKrjRPbI9ZHhqp6LeU+Pi7SrVPn44fGhODxfjp9moiXfixejmeW0YpmO4LPYdLukG9q7ADoLqlBrlSYFTDdYYV7SGgV/ncNDURFvQa/nmhOKS0eGYTjGeU4lllOPXdLsg92XCqmTZEeGOCCoxnN2wAmi3lbtPQS2uad2bG4XGgqbm0yKuzLuIq4kAk5EHBYyCqto9KahO5j3jAAAK9Nj8aQYFeIeRyI+WwIOSwwGIBaZ0ofXS+uxS2fm85tIi4Lq29PxrWiGqqDicVk4K2ZA3A0o4xyYVaKuXhkXBj+OZNHRdWGhyoxMdoDr/x5nkr9LJs5AHIhB/d/fwKAyfPl0/kJ2Hg8h7KIeG16NBq0elp6KtpLiqyyOquHc1qbjv/n4WGI9up/7dNEvPRT8dKg1dvcKbZlodmDo0MQ7iGBq5iLhWuOQqMzIMZbiuVzEvDjkSx82djieNfQQER4SGjTnB8eG4rCygaqEBgAlo4Pw8HrpZTQkfLZWDwyGFvOFVAmdkNDXDF3oB82HM3Gvmsmo7tFwwIxI8Ebv57IpQryPpobjxvjvFCv1aOmQYeqBi2qGnSmu6CSWrxiVj9DsA0uQg6S/F2Q6O8CL5kA6SW1+OtMntNM6OaxmbgxzgtecgHyKuqx71qJUxWhW4tKwnPoiBObyUBKoIKyO6D+afQO46PjJePTWrCXjAyGh5SHWo2eamS4e1ggjmaU2aSTqj+2TxPx0k/FS1dddFvy9qwBeKZxcNkAbxkmRLlTzpQAEOomRkmN2qZzYmyJUsyDiGdqnRZxTeHmpi4AQu8i4bER6yuDm4QPPoeJ3IqGTrVQA6Yo3qQYD3DZTGy/UGjV3BhzhocqMTjIFSIuC/+eL6RFBAnOSUshEaQSwVXEpUVjh4UooTMYaHVME6PdkVVWT6uxSQlU4EgLm4iWvlXWIhNwaBFJ8+Lklt/riOGhSnx796BOr8GZIeKlH4qXI+llVEjVGswnQif7u6BBp++2+yiXzYSriEu7cx0f5Y4D10pQ22gQJ+KyMCPBm1aYG+omRpK/C83HZYC3DD4uAtpUYjcJD65inlMV9/VnBnibBjE2aPWoqNPicmG1U/qoxHhLkejngihPKVhMBp785UzHLyJ0imUzB0DEY0HEZUPEY5u+bvRveuXP85QR3Re3JyPETYylP52ixjm8OC0KQUoRHlp/kmpbf2hMCLzlAuomDACenBgOLouJNzddpJ57Z3Ys8irrKYGREqDAY+PD8MORLKood9VtifBxEWLaJ/sAmM5zD40OQUmNGr+fyrNakJh3YlqbPvru7kEYFqq0av99ASJe+pl4KapqQMqy/zrczhqvgbZYPCKIsskGgI33pYLHZkGt09NqbD6aG49dl4up1ugQNzFuiPXCh9ubIzfjIt0Q7iHBZzubx9DfnOQDNymP9twTE8Ig5LLxmtmk2Q9uiYNcyMFd35gM6BgMYPMjw+Ei5OK2Lw9TU6TfuzkOKgmPcu8lOBbuUh5mJHhjcKArtHoDzudV4XxeFS7kVdLuqHuDSE8pxke6IdxDChYTyCmvx4mschzPLCe+QL3IxGh31Kr1qGlMGdVp9LRZZ46Cu5SHAFcRFCIudXMl5LLw/s1xuK+xZgYAZiZ40ywiusr1ZVPAYvaP7iMiXvqReDEajQh9frPVngNtEeomhoeMTw1PfGZyBPZdLaFqTFQSHvQGI8pqrRu0RyB0BzcJDwMDFIjykiLaS4poLxnYTAbe23qZFrWzBi8ZH1MGeCLCU4p6jQ5ncytxJqcSV4tqHKaegtA1zCPITYwIU7VKTY6Pcqd1qakkPMT5yLH9YvNzXo0miuZDInlsJtQ2iBY+OzkCb23ummFolKcUmx4Z3u01OAOduX73r2qgPsiyTRe7LFxuT/Wnvr5aVINT2RXU47c3X6KECwAUV6stCheZgANfhYD2nIeUj3GR7rTnZiV448YW7pG3p/pjTIQb7bmbk3wQ5Ul/044IU8FNQjducpf2XyMnZ8BVxEWUpxSBShGUYm6nX19co8aZ3AqczCrH4fQy7G8spDW0uNfisZmQ8Njgc5hgt3F3mlfZgC/3peOJn0/jxT/O46djObhUUE2Ei4OyekES5qX4Uo+nx3thz5Oj8fr0aOq5lAAFvrlzIEaFN58/XEVcvDkzBmIei7a/R8aGosAsmucu5WHBYH9a+jk1yBV3Dg2kCZc3Z8bgo7nx1GNvuQDf3T0I396dgicn0luZh4a0PTgSAE24tDy/dcSF/KpODSPtL5DIixNzvbgGY9/f3eF25rb4kZ5Sq2tGgpQihLlLsOW8KTQ6LtIdcwf6YlHjzCAAePemWOgNRtRq9HjdLL0zd6AvatQ6/H2muRVyZoI3zuVWUqkdwGR8dzyznGbHvXBIAA6llVL5YRaTgRemRuJsTiU1F8lLxsf/borFtaIayoU33F2CT+YnYMKHe6z6+Qj2I8nfBTfGeSE12BVV9VpcKazBlcJq6l9JTfsRPg6LgWmxXhgd4YZIDwkClCJwWEzoDUZkl9Vh//US/HEqr1UhZkdwWUyEeYgh5LJRUachAxkJHTI0xJXWEPDitCh8fyiTEkLjIt1pEZ6usu/p0fBxEXZ7P44MSRv1A/Gi0xsQ8vzmbu9nWqwnTWC8Nj2aGiwGtLb7JxBsjauIi2CVGEEqEYJUIoS4ieEq4qFWrcPVomZRc7mguksdIIS+hVLMhVproHnupAQqoNUbqCJewHRu0+mN1M0XYDKwK63V0MTETUk+uFxQTVkzAJYH1Up47C75/Ji3qQ8PVVKp+a6Q8fbULr/WGSDipR+Il+646N422A/fHepc3YA5LT0jRFwWRke4Qchl4UJ+FdW1JOKycM+IIHx3KJO6kx4eqsSYCDe8s+UyZSg3KlyFJD8XWjt2op8cCX4u+Gpf8wgBLouJQUGKVh9+pZhHM7Aj2J9xkW4Ic5cgUClCgFIEPpuFsjoN0oprkFZci+uN/29vXpCQy4K/qwgclikdxABQVK3ukg9Lsr8LQt0lEPNYYDIYyC6vQ3pJHa4WVne7XozQM9w/Khj+rkJqcj1g6kpq0OppRfy3DfYDh8XEmv0Z1HPDQpQQ8VhUlxIAxPvKIeGzaeePIcGuYDEZtOduSfbB9eJaHG80yhRyWXh8QjhEXBbyKxvw0X+mzqRglQiLRwbjKbPuM1tFWdpi4ZAAvHJjdMcbOilEvPRx8XI2pxI3fLqvU68JcxdbHQKfleiNf88VUO3ND4wORnWDDusa7bWVYh5uSvLBqt3NnUHRXlLIBBxo9YZWzrc+LgLklNe3+xyTAQQoRTRzMzcJD5GeUuw2K76L8JBgcJArbd7R+Ch3+CuElEEewT6wmYx2hYBcyEGgUoRApQhBShEClWK4SXkwGoH8ynrsu1qCTWfzqfedtUj5bMT5yuEm4SOnvA6ncyo6PZBTymcjyd8FAUoRPGV81Gn0uF5cS7XLEgjWYD5lfHioEnIhl3oP+SmE1DTr7rB96QiEuEm6vR9HhIiXPixe1Do9wl/ovovuzUk+lIU2j83E7CQf/GDWxcFiMkhBI6FTfHf3IDAZQJ1Gj8yyOqSX1CC9pBbpxbW93v5M6FvIhRz4K4S02UOhbmLE+8qp8xhgKrwdFa7CJzuuUSJiYrQ7hoeqsHLXdar1emqsJ0aEKvHGPxcpa/8b4rwQ5SnF/7Y0F9fOTPAGj81ErUZPE7Jd6UJyFXFpM5i643rcV4c3EvHSh8XLzBX7aXndztDd+pWRYSpaFGTJyGAUVjVQXgZcFhOPjQ+DwWhErVqHFbuaIzPPTI5ATYOOmkgNmHxcymq1lL0/YGoprFHraKPsl4wMBpfNxMeN4VrAFG2R8jnYeKL7c5gItoXLYsLHRQAvuQB6gxFqnR4V9VqHGBnAZTGh0TufUV5/Z3aiD+2zzmYykOAnbxXl9ZTxuzzewVLk0N9VCA6LiWtF9Kj13IG+NFPNh8aEYP2RLCo9PjHaHfuvlVICytZMjHbH5wuSe2Tf9oSIlz4qXg5cL8H8Lw7bbH9CLgt1ZiH6lrUwdw0NpAkLNwkPDVq9wxRNclgManIswTlpGh/AZDBQo9Z1SZgzGKYCSz6HBY3OgINppejKWU3CY8NVzEVeZYNTOgETHJd5Kb5Yf6RZ7PgqBMgu654B398PDUOMd98a3kjESx8ULzVqHWJe/rfb+wlxE1N3ES3ng9gSTxkfbBaj1QfUkqmUpZoYLptJLiAEAoGGhM/GHakB2H6xkBZFfmB0ME5mVeDA9eaW5SUjg5FXUU/zSLl/VDAKq9S0KM4Do4ORVVZPSwstGRkMI4zQ6oy0G7iFQwJwpbCaOg6DAUyM8qB1NHWW7kTE05ZNAbMPue8S8dIHxcv4D3bT/FF6Cg8pn9YBMjvRBzIBh/oAJ/rJ8dr0GHy1L51KF/3xwFCEe0gw74tDOJlVgVA3MTbePwRSPgcAsOFoFtUx8NHceEyP98Z3hzLxwu/nAJi8Ym5O9sWfp/Pw8PqTAICnJoXj/lEhOJJehrmrD8JgNJnVvXZjNM7kVlLbEQgEgr3gc5i04vAB3jJw2UyqU0nAYSHeV271MNCWdTEdMShQgQ2LUzu3aAeGOOz2MXZcKuxQuHSmdivaq/lNMSpchR8WDQKXbXorzBnoi7RlU5ASoAAAZJbW4rkpEfhsfiIA4GR2BSrqtHjv5jgMbxwY9thPp6AzGLHqtiS4S3m4WlSDh344CV1jbcGcgX5YPCIIAPDkz2dwPLMMtw32x32jggEAz/56FnuuFOPGOC+8OC0KAPDOlsv46Vg2UgIVWL0gGSwmA3uuFGPdwUwiXAgEAgBThFfAoTvqJvjJqfNXEykBCkyMprt+DwpUYEY83fU7zleOkWEqDAtpPQzRkqt3y662s7mVlHABgHqtniZcwtzFtO2T/V1ojzsjXADgcHoZzuRUdOo1fQUiXhycWrWOGkLYHu3FzyZGu+PWQX4ATK18a+9KwUuNIuF0dgUiPKX44JY4AMCKXddwubAa790cBzGPjWOZ5fhg2xVMjfXEvBQ/GI3AoxtOoaRGjeVz4uEp4yOtuBaP/ngKKjEPX94+EHwOE7uvFGPZpuaq/acmRWB8lDs0egMWrT2GtOIaPDkhHNPjvaAzGHHfd8dxLrcSdw8LxOKRJqHz7K9nsf1CIcZFueOtWQMAgBbCJRAI/ZdLr0/CPw8Ph5ecD8CUEj/54nj8eO9gsBu9gVxFXOx4fCR+vHcwJXJEXBb+eXgYfrx3MIQ8NgBTBOXvh4bhjweGYu1dKXhiYjh4jTd0940KRsbbU3HHkAAAppT2xvuGYM+To9GUsZHw2fhobjxE3GYhleAnb7XmlnYVx8yETpBS1KXfw42f7u+XnaFEvDg4N3bCz0Xc+EEEgJ8Wp+KuoYEAgLJaDV6fHoNYHxlq1Dp8uO0KFqT6I9xdgvI6LV758zymDvDE+Ch3aPVGPLz+JFQSHt6ebRIMK3Zdx0/HsjE/xSSASmrUGLTsP+y+UkzNMNp+sRAhz2/CzstF8JKZZh19vT8dA17+F2/8fQHLNl2Eq8g046a8Tosx7+/Gg+tPUKmlWo0e0z7Zh0d/PAlJ48+hNxixaN0x3P/9cehIYS6BQDAj4sUtWLjmCK4X18JLxse6u1IgFXDw2IZTOHC9FCIuC9/cmYIglRjvbr2M30/lgc1kYOVtSYj2kmHFruv44XAWGAxg+Zx4qvg1r6Ie96w7BrXOgLERbnhiQjgOXC/Be/9eBgC8Pj0aiX5yvLv1MgxG08yjfU+NgY+LkDLeXHlrIr65M4WK1iwcEoBND9OHK8b50IttzecqdZY5nx/s8mudFVLz4sDsulyEhWuOWrXtqtsSMSnGE/d9dxybzxVg/iA/PDI2FMPf2QmNzoC1d6WAz2ZizupDYDKAb+5MQVZZHVV3EuEhgb+rkOZIKRNwUFmv7ZGfjUAgEGyBi5CDn5ekIlglxvO/n8MPh7PAZTGx5s6BGBqixLqDGdTIk6b6ut9O5uCxDacBAC/fEIU7G2/0atU63LzqIC7kVyHCQ4Jf7huC0ho1pn+2HxV1WtyU5IN3b4rFV/vS8cY/F8FmMvDjvYMRrBJj2if7kFtRj5kJ3vhwTjye/Pk0fj6egyClCJseGY4v9qTh/W1XoBRz8d/SUVh7MAMfbLsCKZ+Nz25NxIKvjnTr9/DXg8MwwMe5u49IwW4fEC8NWj0iXmzfjG52og+qGrTYdqEQD48JwdIJ4TiUVoq5qw+By2Jiy6PD8czGsziSYZrRMTpchZ2Xi9vdZ0dY6lCK9pLifB592GOsjwxnzAylAJNAAoDssjqai2qwSoSqBh3NsMlFyIGIx27VhdRXkfLZrVrQzd06AWDVbUlY8t3x3l4ageDwWHIQV4i4KGtRQ9KywBYwpZEYDAaMRiPtvMTnMKEU82jnoKEhrrhaWIOixnOVUszD/aOCaeMKNt43BBfyq/Di7+fAYAAb7k2FSsLDxOV7oNEZ8NHceCT6uWD8h7vRoDXg43kJ8JbzMXvlQTAZwI7HR+GpX85Q5+2W54H2uL5sClhO3H1ECnb7AO2FAR8eGwoAKK/TYFqsJwDgu8NZOJRWilPZFQAAjd6AMe/vpj4AACwKl8AWedYgFf2xQsSF0CyPm1fZAC6L/rZpKVwAtBIuAHCpoBqXCqpb2b9fL65t5TRZXqftN8IFMP1Njzw3FmMj3KjnatQ6bH1sBPWYCBeCtay/Z7C9l9CrWBp90lK4AK0LbAFTyrpGrWt1XmrQGlqdg/ZfK6WEC2BKoZsLFwCYvfIAXmyMaBuNwAu/n8Xo93ZR1g96gxHTP9uPBq0BKYEK3BDrif9tNqWkbkn2hUzAwZncCgDAxvtScfzFcdR8r45YtNa6SH1fgEReHJDjmeWYvfJAm9//4vZk3LPOVMS7cEgAbc5PR7Q0prMlEj6bstoGTB1QDADmtWRsJgMKERcGo5Fyo2xCwGFROWMCoT9jayfgyTEe2Hyu614kzoSlKKaliLFCxKVEQWEV/ebJWy6gRgk0oRRzaeeslo/bOk5neH16NA6ll+GfM/mI8ZbirweHoUFrQNIb21Cn0eO7uwfhtq/aNyrd+tgIhLk75+wjkjZyYvGi1RsQ+vzmVs/HeEuh0RlwpbCmlUgwh8NiQMhld6pWxRqnWksfSiI2CAQCwXo66wq+dHwYrhXV4M/TefBVCPD+zfG45fODkAs5UIi4bY7ccNbZR0S8OLF4WfLt8W65NRIIBAKhfdiNdSEtZxlZcvYWcVmtUkoMBt2eorcH2c6I90JlvbbNGsYFg/3x+oyYXluPrSA1L05KdlmdQwmXJuM6AoFA6EvoDMZWwgWAxZEkLYUL0NpXq6VwMa8T7Al+P5VHCZeW5nsA8O2hTORV9O2aQXJ1chCMRiOGv7OzV4/J7qAqncwWIhAIhM7TUV2hLTuCzO0tzBny9g6bHcMRIeLFQdhxqajXj2npzoNAIBAIPUtvpZg2Hs/peCMnhd3xJoTe4OMd1+y9BALBoYnzlSPBV45Efxck+snhLRe0WZRoMBhxvbgGJ7MqcDK7HCezKro8uZdAcFYe//k0psZ6gs/p2TSWPSDixQE4l1uJ043+LAQCwTKnsytwOruiU9YABEJ/5+v96bh/VIi9l2FzSNrIztRpdJj2ifXziwgEAoFAsJZ3tlyGzoaeQY4CES92xGg04tEfT9l7GQQCgUDow3x/OMveS7A5RLzYkQ1Hs7H1guVKcQKBQCAQbMHLf55HQTecfx0RIl7sRJ1Gh2d+PWvvZRAIBAKhH3Dz5wf6lP0FES92Ytz7u+29hB5BKea2ek7KJ3XhBAKBYE+yy+rx1uaL9l6GzSDixQ5kltZ2a3hXbxDmLm71XIRH62FfriK6WGk5qAxAqyFpBAKBQOh91uzP6DPOu0S82IGR7+6y27HFPDaGhrhiWIiS9ryQy4K56aOlEfOWfDJKLYydJxAIhL6ANTb/lqLNjkxfcd4l4qWX2d4LBbrecgHt8fDQZqFSo9Zh/7VS7LtWQtumTqMHMdwlEAiEZjqy+QdaR5u9ZPxW24S6tY5k25O+4CtGxEsvYjQasWjdMZvvN8abPn0zt0VYcO9VulAhEAgEQs9gqSTgahE9kh3gKmx13m5509mTTP9sf68dq6foFfGyYsUKBAYGgs/nIykpCXv37m13+927dyMpKQl8Ph9BQUFYtWpVbyyzx/lsp+1GAMT5yqmvz+VW2Wy/BAKBQOhZMkrrWp23W950BqtEPbqGP07l9uj+e5oebwPZsGEDHn30UaxYsQJDhw7F559/jsmTJ+PChQvw8/NrtX16ejqmTJmCe+65B9999x3279+P+++/HyqVCrNnz+7p5fYYWr0B7229YrP99YWwH4HQHudfnQhm4+yiliOMGAzA2JjmNBoBI4wwGIGYl//t5VUSCD3D9eJa6mtPGR/5ZhEdLosJTTddcx/58RRujPNqcz6Yo9PjkZcPPvgAd999NxYtWoTIyEgsX74cvr6+WLlypcXtV61aBT8/PyxfvhyRkZFYtGgR7rrrLrz33ns9vdQe5c1/+k6LGsF5+OCWONpjmYBjcbtBgQra42UzB9Ae73pilE3XZQ0j390JAZcFAZcFPof+j8du/lrAZUHIZfeqcJmd6AMAcJfycPXNyTj54nirXrd96Uja40XDAm2+NkLfI79FKspcuLCZXRcfy7df7fJr7U2PiheNRoPjx49jwoQJtOcnTJiAAwcOWHzNwYMHW20/ceJEHDt2DFqtttX2arUaVVVVtH+OhlZv6HCYnJOKX0IPwWWZPpp8DhNf3ZGMK29Mpn3/9lR/i697YHQwRoerqMeH08ponWWV9c2foZZt7qlBrtTXF/Or8O5NsdTjUe/twpxk3y78JF2npEaDLecKrNr27zN5PbyaZmYleON6samGYX6KPzgsJr7en97h6+J85bjty8PU47dmDcDlwuYOPpWEZ/F1UZ5S/P7AUNpzyf4uXVk6oQ+i60anxUf/XYXeSTs1elS8lJSUQK/Xw93dnfa8u7s7Cgosn5QKCgosbq/T6VBS0rrw9K233oJMJqP++fr27gnWGh74/kSH2xid8/1DsILnp0RafP74C+MwLtL0Xn92cgS+vD0ZABCkEuHUy+MxOlyFBq0B9357HL+fzMVHc+Op1647mEl9neAnp77+bOd1rFqQRD3ecCy7VWdZE7enBlBfH04vw4NjmifPfnsoE2dzK2mC5nB6acc/rI1Z8t1x1Krb9wmqatDiwR9O9tKKgFsG+uJUdgW4LCZuHeyHkho1PtnRXM82Pd7L4utOZ1egoMp0B81mMuDvKqQV0983Mtji6xL85JhhVmC57+nROJZZTj12EXJwz3DLEZw1dw7EkxPDAQDTYj2pCBqXzWwliAn9k2WbnDMr0CsFuy1zakajsd08m6XtLT0PAM8++ywqKyupf9nZ2TZYse1Q6/RkflEfQSmm3xl7ywVYPDKo1XazEr1x66Dmeq53t16mvk40Exov/3keKYGmO+ijGWUYGKAAgwGkFdeiVq3H6tuTcVOSD/QGI57aeAZncyrBshAi9pIL8PqMGOrxyHd2tRmZGRvhRn394fYrOGGW7rj1y8MYEdYctVl3MJOWZsooraO+DlL2bDGhOdEdpINiX9naSysBnpwYjm8PmYTj9Hgv6PRGJL+xnfr+T4tT8cep5ijQSLPfpzlxvnLM/6I5CnP0+XF47e8L1GPz36/5UL2ZCd44cL1ZRKokPGy8bwhyylsbj7GYDAwMUOBklknoJPi54GxuJQAgRCXGku+OU9veOTTA4t/0+SmRCHdvNqfksph4elIEXpwWZfHnIjgfX+1Lh9YJp073qHhRKpVgsVitoixFRUWtoitNeHh4WNyezWbD1dW11fY8Hg9SqZT2z5G4+xvbt0YTep6WF/8oTyn+fmgY7WKfW1GPE2Z3wE38eiIXN5ulWMznibxgdtL/+0w+jmaYXn80oxwSPpu6UBxJLwOHxcS7N8Xi/lGmO/Iv96VTId5or+b3+T9n8jFtgCc4LJOwKahqwA9tTJHlc1h4bFwY9Xj+F4doP+ueK8W07bectxwhTS+txcNjQy1+ryeY+OEei8+PeX9Xr61BwGFhVLiKSmWNjXTHTaua099DQ1zx8PrmCNALUyNxPq85jS0yMzw7bva+mRTtgTVmaacoTylmJnhbXINKwsNTv5yhHm96eDgAYLNZeq1JOMf6yCDksKgoTaKfHKcaC/0v5Fdhx6Ui6jVPT4pAWklzgWgTMiGHltr65b5U3DM8ENdatP4+Oq71e6Gl2Cc4Lm+YCWdnoUfFC5fLRVJSErZt20Z7ftu2bRgyZIjF16SmprbafuvWrUhOTgaHY7nY0FHR6AxthuwJ9mFqrGer58xN/JpYdzATcT4y6vGF/CrMXLEfhVUNWHdXCvV8k/gIcBXiEbOL+fO/NQ/dNHfpXLHzOt6e1VwMu60xKldZr8XVohoMbkzT7L9uet8wGAw8NSkCr8+IoTkg89hMrFk4kHqc8Po2PDSm+fjmefDbBjdHgf45m48ZCc1pjUsF1dh1mS5YmnAVccFlWz5FGI2m/3SnWLAzXC6sbiWsdl4uQlpx6wuurXERms47tyT74M9TedAbjFCIuHjh93O0iEd6cS2VFhLz2JALuSipUQMwzfeaM7B1dyUAnM+vxIpd16nHfz00DO9va+5MNI+IrN6TRn39xIQwZJfXYYzZnLQ/HhiK+kZjtSHBrrhSVI2KOi2EXBZivGX450x+q+NPjvHALZ8fpB6bp73MhdKv9w9BsEqMe9Ydw/ojzeI4zleODUdbR7znDPRp9dwdbUQECfZl7cFMGJys9qXH00ZLly7Fl19+ia+//hoXL17EY489hqysLCxZsgSAKe1z++23U9svWbIEmZmZWLp0KS5evIivv/4aX331FZ544omeXqrNeWh9x7UuBNvTNAgy2d+lVSG0pZO3ed2BwqyI9XSOKcT+4OgQBKlEyK9swM2rDrbyYwBMKZW7hjbXHZjfcb9yYzT19faLhVToviW7LhdRQmpfC2PBBYP98UVjTQwAnMiqgJ+rkBbSX7HLso/QlnMF+PfREdTjke/uogmtrLI6Sy9Daa0Gn8xLoIkvc3+hj3dca9WV1JPc/vURqHWmC3OtWoc71xzt8WM+PCYE5XVaMBjA3BQ/6qJdVquhhEkT5uZkMxK88MTPp6nHB54dSyvqNa9Tyi5rfj/dMzwQ81Yfoh7fkepPS+WZw2ExMf+L5m295QLE+siotNKQYCUOp5UBAJL8XXA+r4oSV4BJcAOmqM2ZnOb3ZFspRx+5AHNWH8TOy8XgsZnUe/V0dgWtG6bpM/fZzuut9rHWrFariRAL7rMSHhnm2tu84WQdsT0uXubMmYPly5fjtddeQ3x8PPbs2YNNmzbB39/0AcnPz0dWVrOKDwwMxKZNm7Br1y7Ex8fj9ddfx8cff+x0Hi9avQH/nie1Lr2FXNgclWsaBKnRG6hCaEsRhBviWhdWWiqarNXo8Ot9QzAoUIEatQ7P/tocVTEXAWM/2A03Cx0j3x3KxCfzEqjH5jUM945orpl5a/Ml+LuKwGYykFVWh6xSuqgYG+mOvx4c1vz4/d20SFKDtjk9tXBIACU6Smo0OJ9XiakDmrddtbv1hQUAmAzTBbuJh9efxLd3D6Ien86uwKrbEqnHT208A3EvXmjCX9gCoOM6GFvg7ypEYZVJoEyM8sCxjDLakFHz1F1LvjvU/Dd+cVoUxry3i3r81KRwuEtaW8gDwIaj2TiSUUY9fmFaFK1TMdKz+Zhvb7lE+5vPTvJBeokp+sNlMZHk74Ij6aZ9aXSGVkW/LdtvAWDxiCA8vP4U9ZjPMX1ueGwmZq44gHO5VVCIuFh/72BEe8lavf616dGtmg9chBya6G1igLfp9eYpqAdHm9570jZa+gk9x9f706n6UmegVwp277//fmRkZECtVuP48eMYMaL5LvCbb77Brl27aNuPHDkSJ06cgFqtRnp6OhWlcSb+t/mSvZfQr6ioM7UAm9+xNd1NMhnAtAGt00X5FiIoy7e3NhJcsz8DRdVqrLs7BTNadJKkmPmjlNSoUVRtutiZi5IzOZW4VGC5hV/AYVHdIABw65eHKKFlKeU4wEeG8VHN9WIf/9fs0yDgNEdIvjmQgUPPjaUeL/3pNFzNBsipzepwojylVMTJYARkQi78FEJqux8OZ+HPB5tbdZd8dwIDA5pbdWs66AayNQHP/NMrx3lpWhR+O2lyIV00PBAv/nGe+t7wUCUteuIp47dpd/DriRzqfSHgsDAp2oNWSzQrsbm+xVwcPTYuDKlv/Uc9fnFaFE0wGY3AvBRfSjyODFPhYJop6pLgJwePzaQ6xA6nNwuiQYEK5JTXU+8BDotBFYJ/vT+dFll8tLE+Sq0zILeiHoFKEX67fwhC3cQWBfCeK63fs9FeslammqFu4lYRyBA3MfV5shTdJPQ8K9u4qXFEyGyjHsBoNOLLfR37PhDoRHhIuu13c3OyLwYH0Q3XDEag6X5igtmFv6mQ0bxjqLaxXkDCY+POoQHU87NXHsCxjHJ8OCceD5lFJm798jCmDPBotY5/zuTjh0XNEQvzELr5fj/67yomxTS/vrBKTQ2D23fNci2KeVjfvLZl/iA/WmvzW5su4qlJzcJonYWQPWCq59lw72Dq8et/X8CzkyOoxxtP5ODj/67SfF6OWShUBkzprb5AapArTmdXQKM3IMFPjq/MPs8jw1R4YHQILbqydHxYm3YH5inExyeE0WpU/n5oGA6adQ+ZlxB9uTeNGvrHYjJwc7IPfjmeQ33/+SmRuCnJBzVqHWQCDuJapIyuFdW0GhpoOgYDc81SU9uXjqQKwbX65h9i2cwBeNvsJiwlQIGN9w0Bh8XEzauaa2QmRLnDs3EY4faLzdHmpoJucxHeZHnfctYPYKoTastEkdA7vLPlcscbOQhEvPQAm85aZ6xFMDEmwg0qCQ+XCqo77XfTVN/SxNf70+Eqap262dp4pxukap1f/3x3GpX/b6JarYO/ovm56gYd7vj6CH44koXHJ4TTjtv09zYXTbkV9cgur7MoxsQ8Nl6Y2uz9Mm/1IfAspLU2nS2waCCVEqigOlfMizm/2peO78wE0/oj2TieYVlkJPjJsXBIAPX4xk/30wqR7/v+BK3WZfvFIpzOqaAet/V3+vZQJualOJ7XUme5Y0gA1RLNYjBo3Tx3DPGnXfz/fmgYnjQrbH3lhrbbiD80K8SdleiNjNJaKn3DZAD3jmhOW1abRbSWjg+jtYR/Mi8B94wIwu7GYuthoUqwmAwcahQvsb4yjDfr0Hp8fBjV/dMUnQFMn72L+ZY7ojYcbRZnbCYD3y5KQW55PWZ8th+XCpo7kOYM9G2VgnIVcXHeQm3XFAsR0GmNqc86ja5Ngd1ViBjqPJvPtq4LdESIeOkBHviBFOp2honR7vj1PsvdZx1hHmZv4p/GD9/E6OYoS1NEpamduCVNHibmF/RX/jK1DyrFXJOnh8GI5387h1f+PI/HJ4S32sehtDL893iz/fvTG89SF3nzDo5PdlyjzOkAoKhaTYXwJ8d44Jbk5i6NWSv2Q9fCg4HHZmFUuMmvZWKMB23NMz7bj5fM2rH/M2uHDTIb9HYyqwLzUvwoV9d6rR4bjmXD30zENUWAmjC/YLXE/CKh0ztP3tycpvbkSE8pSmrUKG9MRZpHmZ6aFI571zX7o6QEKnCv2aT4pyaFUx1ogCk9EmgmMGvNfqcBriKaud6JF8fTUjHmtUTm6UE/hZCq19rd2IE1KkyFK4U1KK01RVrMW1+DVSLcEOfVqsAYABgwpQGb+OKO5qLw02ZFvL/dPxTbLxTh5s8PoKhaTSsUNz/fDQk2Rf5KazW0914T5mZ+TTTVt1wprMHGE82RJUt1Mp1BLuTQHKUJ1nGfFaaqjgARLzbmamHbJ3iCZV7/+yKyyuowLtKt441hufi2KWxtjnm4vgnzk+fLFu6QfRXCVs+V1GjwwS3xVG3KNwcy8HrjxYHFZNDWcz6vymKnhELEpUVb5qw+aPHn2HyuAG/ParblP51TibvXHkN1A/0kPKFRmG09X0DrZjqbW4mfjlk2aqxT67Hmzub26onL9+DrO5of/3MmH5mlljuPpsV6wkNK/x17ywXU1+YRpp+P59DazJ2BBYP9seuy6WJ7z/BAfLE3zeJ27/57mZaqO5JeRnUZMRmAv0JEiWcA+HBOPNIt+KcAwAdmUZgnJ4bT6g1C3MS4Z3hzOtO8RumJxvdhaY0aZxqjGyPDVLRWcvOhfk9MCMcos4LhpePDIGmMHJoLjKmxnrhuIZ3DYAB/n83DAz+cQIPWgFHhKlrnm3nRsCV/mrbcf5u6lerNBJ35+6hlnUxnO5Ca6uAInSeztOctCLoLES82ZnwbZlp9FfNaia5So9Zh4Zoj2H6x9Z2aJcxN35poCluvNrPGb/Lg8LMgSACTYVtLXv/7AuVd0jRfqOn5+0cFY9VtiRBwWNQFTG8w4uAzY6jtHl5/kgr3mxe1rtmfQYu2FFapqZ9jRrwXbk4yi7asPEATOruvFLdq0R4T4QYui4nrxbW4VlRNm0NkHiExd3gtqGpAvUZP89q4Z92xVimzJoaGNNfP/H0mH9/fM4iqWQBMkYGmC0pFnZa2X/O7dmfAXcpDeZ0WfgohmAxGmyKuvbRmtJeMFoXY9/RoTPtkH/V48cggi23BAHAutxKf724WTJsfGY4PzYrHm8Q5m8nAqMbZVfuulcBoNEWK3KR8vGlm826e8nvdLAoTqBRhfJQ7qi1ELKV8Nq0o+elJEdTP3LS2e4YH4qs7BuIvC7OkglQiWvqsCUut+LFm4rapKBoA1t6Z0mZ0tLqXC8ObOPWSdUM3+xLm7s+OChEvNqTUQli2L/Pp/AQqtN5VPpmXgBvivGiFgtbS1MZpTmG1GikB9ILdrLI6WptwEznlppNqnK+cNlW5SZi8bzaR+ZsDGXh0wymMCnfDz0tSaVGILecLaC2sTfgpRHhtenNUxNyN1ZzfT+XhHTPxcSq7gmZGJuaxcamgGtM/3U85pEr4HAxpFBf/ni/E+Ch3i4Zxu68UY4dZKuv+709QRniASdCY2/6bt5wXVDbgzZnNYwfGvr8ba83qYi4XVuNls6iPJQ8PgB6hcUQeGRtK1bfcNTQAj244RX2vpWV+UyuvJcy7Z0aHq/Dcb+eoxykBCowJd6O1BZu31ZvX1Lw0LQpLf2r2iBkeqsRtjYXQg4NcIeWb/kZN5oIjwpR4Z0tzYW1Lw0Rz/5nHxodh8kd7qcdPTgynPkfrjzRH7BYOCaClmTgsBt6ZHYvnpkTiu0OZePff5sLOJyaYOpLMDQMlPDZVA2ZuGdHkxMvnsLDfQjddpKe01bkgysJnS2DhxsMSkZ5SmpDrLBwWA89sPNvxhn2M3Ip6NGj1HW9oR4h4sSGzVlq+OPVVDqWV4pMd3Rupvu9qCT68JQ6hbdyRtkdTuNq8puDF38/RfDKaaArlTzPzRWnqAKpV6ywagX247Qot7/7HqTzMXX0IblIerXX4+d/OUUWP5pOBN57IoUVbzDs/bk7yoXXv3PjpfuoiAIBqrQVMF5gIDwlKatS45fOD+OOU6U51YrSpS+nf8wWQC7lIbaw3uCPVnxZN+fFoNk2E3N9OTZZ5i/f14lpI+RyaMLv/+xPY+9Ro6vETP59GUgcTjnMr6nHfKMtDB+2NlM+GiMdCYZUaYh6bqnMCTGlFc8v816ZHU9OkAVPRs/msKnN2Xi6mpXGWzRqAOWZFvl8vTG7z4vDH6Tz8dbo5srHurhQqpdXUJq83GKl6l79O5dEcev97fBTeMusSMn9PLjMzIgtxE2N4qJKW9mnCRcildVh9v2gwZiR447nfzuHlP5ujM1NjPS2aLi4ZFYxDaa0/h26N/jZH0stgydDV3Iumaer5hfzW6d96Ky+sF/OrWtVudQat3tjmiIy+zmsOPjKAiBcbYTQa2ww191W+O5Rlsa6kM2w4lo0l3x1v00XUEi3Dym3VFCw2uxA3YZ4KauJaUQ0VcTAfFZBWUkvl3cdGuEEm4OBUdgWmf7ofBVUNFkcNRHpKaSmcGz7ZZ/Eu8efjOXjLbEzA2dxKLN/eLATNa3g+3XkNv9w3BOMi3aDRGfDIj6fwzpZLGBvpBgbD5COTW1FPdXIcySjHpkeGU69fvScNWaV11B22eeqDyaAPa3xny2VamPyh9Sdpgu9MTiUWfHWY9rs93kbbtDkrd11HcgcipzdpErwLUv2plmdzvxpvuQCvmgmZ92+Og8FgpEVIXrkhGieyKqjH5p4/5sT5yGhRt0fHhaK8VksVm3NZTJrINa/1ePmGKJTVaqjf8bhG8XIyqxxljcW55pGVeSm+ePnP5ohPgKuQNnfI3GH33hFBuPHTZrGwaFhzbYp5yur5KZEIcRNjwVeHsf5IFq0u5WphNS2y0pSiNY/MNPnhcFgM1Glap37MrQrMU6M+Lq0jdpae6w0+nBNHG+vRH2hrPpqjQMSLjTB3wezrjApX4dP5CR1v2AHBKhF4bCa2Xyyi3eV1RHsppmfM/Ek+39O66PJXs/y6uZBpuiOt0+hp9SZN8DhM/P7AUAQ3jgm4adVBi3N19lwpxhgzMVBaq6HuEuel+NGmTc9ceQB3m10wzAtBX76hOR1TXK3GuoMZ+HxBMhXBWLHrOp7/7RwVUt96vgCToj3AZjJwMb8KeRX1WHlrsxPu53vSLN5hG4zAiDAVzW347rXHaO2+5hciwNSZZe2Jrak+A2jbG6a3mZfih/SSWoi4LCjFPIs1GeZdKsNDlbhaVEOLymy8LxXTzaIE6+5KodxsAXr67XROJa14NNpLhsfNRgf89/hImj+KOZNjPPHfxSIYjKb0SVMKzlzoSsza9tcfyab5z2xfOhLPm6WvzOu/Xv+L3pE0zswDyRxfhQDTP9uHw+llEPPY+OqOZColdKWwORL12vRoFFhw7X24ceaWVm+0aEH/5d7mz/7gIAV8Faaf0VLdVMvp2aJupIQ6y01JrWc19XX+deCoExEvNsL8Lq2vczitjDYDqKs8MDoEP9472Krps5b8GuIttFLONxMH5syy0AWxfG489XVTC+v5vEqLNRqbzhagVq3Dbw8MpSIgTakiP4UQH85pro8Z8vYOiz/T+iNZeG16c/rmdHYFTbRFeDS3n77y53mce3Ui9fidLZfxxM+n8cjYUHw4Jw5cNhPbLhRSka9/zxfARcSlIlh/ns7H6Ai3Njs0/je7+S7y5T/P0wTb8cxy/HaqdUFmEwGuwnaLJ827S9oa+mgv4nxkONPoV3Nbqn+bn1vzKAyHxaS1MIe4iWlzlR4eG0qb0BzgKsTt7Zj13WPWWv2/2QNoQw695QLq9zcwwAUeMj42nTOlPJvMDP88nUczfvvI7H1szuhwFW2wokrCw+NmqUnzv+EDo0No3jWTopuNEx/dcArZZfXwUwjx6/1DkOSnsJgSyq2oh0bfWiBbwk8hRJi7KVVs7mX07d2DaLOeAFMxdVvUWpESMh930VW+2Z9Bm03VX1j87fGON7ITRLzYgMKq1ncbfZl6rd4m1egv/n4ODVoDPjfrEGqC1aL41JJfw6kWrZQAPWdujrnBWhOP/L+98w5r6vzi+DeLsMPeGwVEEERlufe27o2rtXZYu61dP7u1y1pbrba12qHWWrXVuuuqCxw4cQuogOy9Q5LfH+HevO/NDQKyvZ/n8XlMuElucpN7z3vO93zP7+f17itXqtnUupOlMaUVGb/6JI7eyML3MV1Z91BAKwiO8NaJYCuq1KzYcWyYK9VJNGbVCd52UgBYOk5XbkovLMeX+29QmYvt51Mx+ftYdPe1w+anIyktQ2xiLnKKKzAyRFvi+ediGuRSMXvBa+9gTmUDbmUUY+VUXWYm4pOD1HvitqmSpYLhnZz1JnGTqf8fjiVRt1sSnT20AwpNjSTILKydwP4Qx6/kdmYx5S9UpVJTmdedL/TACqIl39DxlkvFuJlRTOlVDrzSiy1FDQt2RkGpkhW2Dg1ywmd7r2PBJt339sSifviVEEq7KIxZf5jDN7KoTOOhV3vjxd8vsLeZ2UIAsJjoMvJ3tKBcn8uVakT52OLv57U6r8HLdR2VVKaT6JZiWvIt5FL8Fqsv5PZ3sqCyNoA2E/oOkSViyKjlcTLECh5vmbpyMaUAn+x+PEe+lDRTl9fDEIKXBmAKMdm1rbNxbgTv8MH6UFKpQszaOHzLI/rlc5YFQJljMZBaCrKUQ3ZcML4XZCBBlp++mKDLnDCr8cyicvRop7tIlyvVeGHTeXy69zoW9GuH1dN1QVf00kNUGzHDtvhUSttyKaWAbQ21kEupC8j8jfGIfVM3j2jdiWQqc8FobkZ9ewJSsRg75ndHkKtOTDvn57MYGOgEuVSMxOwSJKQVYlS1OV5WcQX+fCaK3fbH40kwkoqpbhpDwxoB4OPRuvew8vAdfPhEEPVZrjmaiPeJzqP1J5INPhdDhAGNSGPR1dMaZ+9qMwbOCmOqRZcsP3Bdkc3lUmqOERcy+PhpVld0X3qIvf3yAD/KO4h87ooqNZV5WzYxBAVlSpy7mweRSFsyOnAtA0qVBi4KYyzdc516rWhfW/x9IRWHie/IxrmRvLOm/B0t8PoWXRbGwUJO/T7ILMxLA9pTHVdP9fDGr0+GIy4pB6NXnqB0M4wpHYm5XAozIyn7vKSXDJMBPXBVVyab3E0rXK9UqbGZ8Cgip7Qz8B0HQ63VjcH/RgTy+kO1ZchguSUhBC8NAJ/2oa2SXVyJKeH8pZm6MCvai3WtZU6+fKUoMlsAaNtzuTBaClMjCSWa5NMhbTmXopc1AICbGUV6Fv1qjTbAYU6OjC5kzX+JiFl7Gl29rGFHDDtkAqTBHR0pl9xx352k0vAMRRVVVNYpJa8MH+++Rjnhkqyb3Q2+9mZILyzHhDUncTopF1vm6ZyJL97Px5f7b7DeLjsvpiHKxxZ25nLklypxL7cU/7ygm0o995ez1PRe0j8nyNWS6rT67uhtbJqr8/Tp88URxER5UmLfXZcfsNmgCh4vHi5xSbm8x6KhYVrIQ9ytcCVVW2YjTdymRXiw5QdTIwkVnDtayvHLk+E4TwhzmXIHFwtjKZbsvs5mZSyNpRgW7ES54349mV8rJpeKMaijEztqoqtndcmouksuraAcB69nUt/Rk3dyqFk0O+Z3x0e7dGWwACcL1jbgRkYR1TXzzws98BRRviIXBW//pct+9Ghnh7eGdcDyf2/hmd/iqc4dK1MZJfhlfh8eNqZISNPXq0zs6kZlghhIrRep3+Er05DHgYGrgeNxDMBnRFbzURgY6Ei5AD8O8DkltwSE4OURIUV6jwMLNp3H1wfr1h7NnT8EaCftfjquE2uEBYDtniCpySWT68FRWqnCb0/qZvuQpSZy7tCxW9o0PDnN9/v/EtkLLukOO2DZUbaENaWbO1ZODYOpkQSnEnMw8pvjcLPWN3jbl5CBT8boMhUXUwrYC4e3nRl1wZ76Qyy2EqMRdl5MY4NhH3szSn+z5ugdbH++O/r426Ncqe06WnbgBg6/1ofdZt2JZOyvXtX+c+kBxCIR2y301/k0BLkqqNZmsvTmQnQ4XUktxBdE19T93DIcvZmFvkQZa9KaWCqQPZ2Uq+cE/DCYY9FYGEnFqFJrEOVja/C3uoEQHy8c7E+VKX5/OgpjV+k6hV4e4AepWHfaJC+2ReVV1MDBmChPyrRyyzNROHVH935tzYzYAHFAoCPM5VLsqjZ/Gx7sjMJyJVWycrSUYzVPiRXQZlI2n7lPGT1ufTaa1zbAwUKOhVt1WRhLYyleHqjTwpC/wwX92+OpX87i28Pa0suc7t54rlo0Tv42HSzk7MIhs6iC0hIxmpU/zuou+kZSMeswTQ6b3Dm/B69/EzlwlMGC57wCgLcFO6mBHGN7fnaYDYAfJ+61wE5aIXh5RCauOfXwjdoAvf3sqVbKusCsREljt8LyKkz6PpYKIOpKIk+L9IJN53kddcnyD8OOC2m85nXc4XFMl86drGIM7+SMv5/vDh87bdcRc/Hv5mVNTVQetuIYb/t3UnYJVhFdQMk5pVh2gH+Sa2JWCbY9pwts9iVkYPWRO/g+pit7AfnhWBLe3n6Z9z2n5pch/l4eq7nYl5COwnIl5S9DljG87MyoadIDv/oPp9/SlbFWH71DDeArU6rw9K9nqWCMr6OJgQxiPQ24+jY0TDYp1MOK14+EpH+AA9VRdPT1Pnj1jwvs7UBnS3jamlK+IwsH68+4YviOKPH0bG+HlLxSyghu23PRSKnudBoX5op7OaWIv5cPsUj7HZxG6Mo6e1hh5/we2Bavy1zYW8hZx97MogoqCPtuWhjeIAKUDs6W7PTzzKIKqhy57bloPPObTphJtiO/uuUCDlVnfJZNDMHbwztQpSuGYcHOSK3uBCLN7QZ0cGS9XUiWTQzRc8p2URjj2O1s3u8QOUySgesSzHQpkTDnHPJYcLO5JIYCIhIfOzP89Xz3h27Xlhiw7OjDN2pihOBFoFbEJeXg+b7teH1Sagu5olKYyHDxfj5ln86Fz7aeXPkzkCWavQnpbOsr2fXyxX6tbwVZEqhSa1jzOtKddsme67yeHe/+nQCNRoP2jhb4e353avDjmeQ8vDVM17FzM6OYNSnr4GxJXeDHf3eK6hA5cVt3Yh4X5kZZp7+57TI1gmHVkTt48uczmNvTB6umabNAJ+/ksO/ZQi6lsjXPbYhHJzcF2jmYo6JKjd2XHmBosBN7LF7op9M9nLyTgyBXBTVEcsyqk5SfDXc4o1pTc/aE7AgjO7Ca2hPpO54LLhcyPb54ZCBm/nSa8nEZ09mV0oKceXsAZac/NMiJyl6RGYCc4kq8vJluj76dqR2kaGduhJ7t7VnzwS6e1vhs3w0q2No0NxLbzqdS5nU75nenHHtJfou7i38u6WYsbX8umnfavUQsokznLI2leIXIwtzPLYOrlQm2PhuN3n72mPnTafZv7RzM2QDdzdqEVzNVVK7kDRrJgZSMZi2toBzvEiWr5/vqGxty3bNJuF1KAO1rw8CXzWV+M3xjE7isnBaGq4/ob9XaqG0XWVMiBC+PwOEWWgtsDMqVaoz45vgjfYkZG/pBgY7YMb87/BzNkUU4yXJblJN5LnCHeVpvyXQ0+RxcTwhAu+pcPilU7/6OrgpqMCRTYugX4EDV0Of9eg6F5UpYGMuwenoXdlgjAIR9eIBXwHjtQSE1yO5GRhGlgyADp63xKdhCCGsPXc/E+pPJ1IThY7eyMfLb4/CwMcVfz3engryiiirqtTKLKrB073U2+/LnuRRYGMtYDU5WUQUOvNyL3X7aj3HoTximpeaXYRdxEeTCd4Ex5JacmF3S7AMbSQ+emlhx8Jbe94+cHfTBEx0xa53uQj64oyPGhrlRhnGkrT2ZrenZ3g6+9uZsFmVUiCukYhH+qg5eziTnUaWUbc9F49UtF7GUcM3d9lw05b/jYWOKKeG6jBoZEL89rAPe2qazuG/vYM5mUVVqDbXtz3PCqdEEvfzssfOFHqioUmH4iuNUi/b62d2QXJ39JP1bwjys2Lb/OKJU980Ufr3PIGIRQP7WGAdsEr4yGB98xpCkoJyBKT3zTdw2xNCvj+Gt7Y/fyIDr6S0rYBOCl0dg9vozD9+oDTC/bzu4WplQ7pe1xYVn2rOnrSk8bc2w7bnuVCnB0PNzuz8AwxNmSUEq6YZK6jzI1TPDxfv5sDLVFwwfup6JzfN0wcT+qxl44tsTuJFeBJFIhOeJWTdlShVO3tFeCELcFFTGYvDy/6iSDCkYZez/2f37/QI162jPlXS2g6SzhxU8bEyRkleGcd+dREJaAf6e34PKSA1bcYzyiFlzNJFdsZ+9m4fk7BJM6qbVquy8mAZXaxNq32rqLujmZU2VqG6kF+ldlMj3feF+PhXgNffARlJDQmbOuOSVKmFdQ3lh/Ylkyl36tUH+lH/LT7O6UhYKpNB2Yld3FJQqcaDamG5smCsS0gqp7wSDTCLCW9suUwGkvYUcv526S5WQdi3oQZWkSPH7qiO3KaHsnhd74kcDppCkoZ27jQnWzeqGbfEpmLQmlspimBpJYGvGb/C3oH97vQwdAPxDDHMkrRDIFuSf54TzdjPO7u6ldx/f8WPmGPGNDyAzTAyMYL02AnMSkUj/d9vWGb7CcJa8ORCCF4GHIhGLsP356IdvCH0zuTQex80fjiXhenohzOVSvDNCv+3QmRPw8E3yNWSS9t7OBN52yumR/B1SpAsts9q1NTOiLPHfJFat5nIpkrJLMHrlCWyt3n5WtJfe815MKcAyYrDj3ZxSat4M2Va9ZM91vaBr5WF+b4rz9/Lxd7Vot6JKjZc3X8RXB25idUwXKhB86uczGEp4dZAXk63xKYj0sYGnrSmKK6qw69IDTI/0NDjsjvw8zyTn4fsZOtHov9cykVVUQWWLlv97i2rL5jr0tgTeGd6BsrUfyHGXHdLRieq24pZLSb3V2M6ulDD303HBbEkI0P5+mADOwliKgYGO2HX5ASqr1PB3tEBHF0uqfBrsqmDnSSlVGlxPL4KduZwVvmYVVVDByBcTQvA/onzlbWeGt4kSJjk8dVyYG1Wy8bI1pcpEZIZo5dQwzN8Yj492XUOVWoMRnZzZtv/2DubUBG1yvhgZxP2P+H2Tn/e6Wd3ApYOzJXJLKqm5Xuz2PK335PMxcOcYGRonwHyn+byiasNHo4PQv4MDb5DWVjFkX9FcCMFLPbnJ07LbVvn64C0q7VwTfGZygP7Jf/TKE9hy9j4r8iP/zohC+VY1owgbe4ZneutKF39fSGPbKcmVGak3IKfMcg3IAK2lP9l9QeoKvpoUip7t7VCmVOHVLRfx2paLrGgy2FVBpe4jPjmImVH8TqtvDetAnfDn/XoOM4htSU3Igv7tqXLLkz+foYzy1p9MxvQf47CJ0MbEJuZSmSdyJf7NodvQaLQZAADYfOY+zORSjOuiE0+Tx8Pa1Ihy4B2y/BgOEpOqP/jnKrbFp1ABy/jVp6gOr5aETCKiyhzrZ3ejfEee6e2LqREelKh14RDDwlwykHCwkCMtv5zKJpx5ewCrkRgV4gJjmQTbz2sD38EdHSkXUxszI3w/owvr3gxoW7y3PBNl0KxtzdE7lGfNgZd7UeMHyPLV1vgUqmV6/8u9seyAbo4RyYJN57HnSjpkEhHeH9UR30zpjOTqrp2LKQXUb+fj0TozR7J1Wc238gAwg9DOMGXTaw8KKRO9t4YFcB9W50wHWTp2szZhxbp8zjDt6jAcdseFNKoL7XGhPtn3xkKk0Rj4drVSCgsLoVAoUFBQAEtL/VHqDUXoB/trbONtK8zv2w5r/rtT4zyhutKzvZ2eyLOvvz2vnqWuOFkas+ltP0dzZBRW6AVUW5+NxjieCeCvDPQzeCJnsDEzwqk3+2HN0UQs//cm1BptClmj0dbZL783CO3e3sP72Egf2lb96geDEfi/fbzbBjpbUqvgGx8Ngf87e9nb4V42+GZqZ1xOKcDLmy+gqKIKDhZy5Jcp9bo4ACbTkI4zyVpPnBA3BVbHdEGPTw9Dpdbg31d6oaJKjeErjkMmEWHVtC7UCnrtzK7Yfj6VFYE6K4zR3tGCmpwc7m0DuVTc6O3PDUn/AAdKqPveyEDYWxhTWYWDr/ZG/y913RbDOznjTmZxrVbdX08ORf8Ojuj20b8oU6qw/blo2JgZoffnRwBoMzGkSPT0W/0R/slB9vb0SA+8PSwQI745xpaVunhao7O7FW/pZ0q4OzIKK9jAwspUht+fjsSQ5cf0tu3mZQ0jqZjVvAQ6W2JEiDPlHeOiMMbKaWHo7KEtu3ot2qX3PAM6OFAt2o6Wct5Aa/HIQN5xDKNCXLCDECLXFYWJTO837u9ooecJtW5WN2yIu0vta02IRfxt1yTd29nCRCY1OJuqrRHta4uNhN9TQ1OX67eQeaknj0PgAgB+Thb4/enafVm5Jm8A/0pp9fQueGWgH6VlYSL6MJ6STx+eDiNDrba7FujKLzczitmTmi2ReRj33UleIyulSs076I1MweeWVGJKdYv3hqe0Fv1M+F+mVOFmRjHmEzoY+nkCqZLY5O9jDa4k3x0RSDnQTv4+lvKOOZ2ci+ErjsFULsGOF3rAz9EcmUUVbODiamVCCZA/2nUN62eHs7cvphRg4Z+X2M/7j7Mp6OiiQIi7FZQqDe5kFePkon7s9k/+fBYhblbs7QcF5VTgAmhFzq0pcAFon6bOHlbIK1VSgcvCIf54gSiz9AtwwOhQVypwIbuzSOzM5Rga5IydF9NQplTB194Moe5WVJaEDFyCXRUYQ6zm/RzN8fIAPzz1yxlKD7NxbgQVuJAGc5tO36cyIgde7k0FLj3b27Hbn0nOo8S6G+dGUIFLbz977FrQE509rKFUqbFkDz1UkXF3JoMBE5kEo0P17Q+6eVlTInUSMnBhxgpw4bNpYD53MnBh9onPzDIlr5TXo8XQbLWHBS6Turpj2cRQvd9BW4bR9LUEhOClHpTziMHaKgs2ncfeK/otlnzwid74VqdjV53EiE7OlKEcM+fEWWGiJ9DlG+5nqNX2f38nUK3TDOSsFkB3YiIDjW8O3eYd9Pbx7mtU2SD+Xj6GfX0MheVK7F7Qk2qDHrbiGHsCtTM3ojxVRn57HD/O1HUCXUopYD+fACcLqhNmyg+xWEvoAs7fy8fn++jZKtnFlZj+Yxx2X36Abc91p4SyqfllmNvTh7VeB4Aenx6iOq2O3cpmMzFbz6WgskqNqdVlr02n78HJ0pgS25LdNlw6e1g1mXdLQ0Jqp2RisZ4B4x9n7lMZsKd6eFMZqS3PRFEXLwcLOSsmn9TNDUZSMTt4cXI3D6jUGmoiNFkOvJxaQKXlX+zvhxHfHKcCjHWzumHiap23VIS3Dd7l0Y0x+0J2RBnLxFg5LYz3wm5pLKWykT3a2WHdrG6wNjNCan4ZJq05Rc0uin93IG8gEOljQ01zZ0oxZ5LzKO0NnwZtVrQX273EhS/L9DfP8FC+fWLKx+/+ncDbOl2XTiMSazMjPPHtiRbZRtyYtJRijRC81IM/iPkbbRnGdO2HY/ydCQBtPMfAN3+INJC6kVGEUd+e4M1e7br8gM1kdPOy1vv7DB4NyUsDdF4luy4/YFunyZZd0sCL5NvDtzEoUL9roZefPdXBQ65IQ9wUKCyvwrxfz2Hl4dv4YUZXqnvig+rUeHZxJRYMaE/Zyc9ax9+hdj29CJ+P70Tt88hvjlNZJ/Lk/3QvH0zo4ga1RiuIXbDpPD4eHUS1g076PhYxxOeVV6rEu3/rD74DtDqfg9cyMDLEBeZyKe7mlOJUYg6mR3jyZtQAeq7N+Xv5WDk1TM8J9UtiZlRL53RyLtW2DtDt+uFeNpj6o8447uvJofjnYhp7XIwkYnw7NQxFFVUQibTBypXUAlxKKYBMIkK/Dg7o9P5+9vFTwj0wuYZRGy9tPk+ZAgLAW9svUx1b38/oiulrdfs0oIMDGxBlFlVQHVErp4ah03u615/QxY0VdReWV1HZnR9mdIVYLMK/VzMw7OtjlN+NmZEE04nPYWCgI9tVSJZ+n+3ji/s83UjDgp3wW6z+73H9yWSqrLSUmAnG0MlAqz1fZxhzH59lAt8oEq5jN1DzROvVR+8gvbAcPvZmGNDBcOdaW6O2i9nGRghe6gGp7K8t9g00zLApifSxNejNwMC3kmFWdmTAwhhILR4ZiHAvGxRXVFHpeT64vi8A8Ev1BF3y8yRXsmQb763MYt4sDFf0y9jpkxfp/25mIcCZv+a6dFwnPN1LOzV5/clkjPvuJDWsjeywikvMwefjdRdw0tdmXJgbJTbu8tG/1GTppOwSKutEZma+/y8Rbw/vgM/GdYJcKsah65kYvuI4Qt2tKO+V0StPUIMryTJFewdz6jmf3RAPsUiE0Z21n8/GuHtQmMrY9Ly1qYzqJssprsRHhFBzxDfH8fGYIEyL0F2QX91ykRp62ZKxNTPC3F6Gp2GTHiOOlnLsvPgAPxMTnS+/P4jVPvTxs4e7jSl+P6O9SDtYGCPmxzi2G8ZIKsZTPb2pTra3h3Wgvr9KlQZDOjpR5T8ymBneyRkjvtGVhDp7WOGTMcEG29FfI0S8RlIx3hkeSIm6GULcFJCIRfjon6t46pezKChTIsRNwWYRSypVVDbqjSH+vF2F+66kU9lYJjggzfJGh7pQASM5ZHERT5PAJQPvLY+zEPJzNIezQnv+IAO4D6u/r3yjSPgcux820XpQoCN+ezKi3l1LrZFnN9R83m4qhOClicjiaf9r6Ty/MR5XUgvYGSR1hc/xcmPcPXw/owtrb8/AN4zwr+q08Lze+heUCqWKd5os17abNLBj2HExjR0iRz1nlRorp+pap0lXVrJzaejXxzC5m7s2rW4qQ0JaIRXQdiCCnlf+uAh3G1PWdpzMwmyNT8GMKE/KZG4GsYrm8kSoC14luqBCPzgAXwczbHsuGp62pkjNL8OE1adgY6YL7JQqDTu4EqA1Rbcyi/F0Lx8qwItacpAdpbAvIR1ZRRWIifQCAJRUqChNwo2MIuSWVGIqEayM+OY4hgY5U1kZ8qLZUglwssDmeZHUMR/fxU0vE8OQUVhBiTS/nhwKjQbYUp2VnRbhidLKKvx1XvsdTs0voy7wMZGelAj44zFBsLegfVPeHRGI90Z1pDQl5Oe669ID6jf2zvBASuy7oF87PEloRcgL/NRwD4R8oMvCvD7Ynz2O1mZGGPfdSbZUM6e7N357KoKa+EwyYJmuTfyrSbpAlQwGfpkTzhsc3M4qpgYzGtLXkeVPBr6p00ymMquoggqwAK04mu9o8mVX+LRofNmdYcHOmPx9bL1LTwL1Rwhe6oi6hfW6NxaMd8ma/xJ5u1cA/swI35Tg3sSMn1uZxRj57XH07+CIlwfoLsTMMEI+B9QKnlknheVVbAcUuR8TVp+khj2SkEEQY9pmbSqjSl+GTtBhHtbUTJThK44jo7Ace17sRQlrAWB2tBdV8hqx4hjE1UKesWFu7OoPAKKXHkJ3Yu4SqbkJcbeiWpRf/P0CevvbU/s7cU0s/ruZjR3ze2BIRydUqtT48B+6o4O8/hrLJFSANvn7WIzvorsw5JUq8fqf2pk4VWoN/jh7H8FuCoS4KVCpUuPUnRxc/UBngLfswE1KMFlaqcKMn+LQs72+yLolcz29iLoIz+vtA3sLOXthNZKIqYwSCSPM3XslHXmlSrgojNE3wAG/n77PmgtyWUtoOFytTFBZpabME/9+vjtC3a0QuUQXjHw4Ooj6rnCZ+kMs+/8gV0tM6OpOvQ7pXUROXLeQS/F833aIrZ4fdORGFi6nFsDKVIbvY7pgSrg7Jq3RPXeYhxXvlHRXKxOcTdYFyqQr9HPEap0MlkmNyq9PhvO66gLA72f0f5d8U6cZ+wFuJgbQZh3fIcYPMBoxMrvC6NVIrR7zu+d7zpc2X8C93FK4WplQRpithfraGbQE3YsQvNSR2tpTt3bcrE3w7dSaS0Z8Pf983SZHCUGjm7UJ7ueWYeKaU5TfBAOf7wpzojUzkvB28owiuj3uZJXg073X9bYBgAM8plZ5pUoqm0CKL1/sr9PSLNlzHVZEyaRMqcKibZfx3o4ErJwWRm27cOslPNdHt59pBeXsBf6/m1mIifSkVnukHofU2Vy8n48gVwUlmh2z6iT1WJVag0/3XscLm87jozFBeGd4B71sASn8PXknR7vvhKPuxDWn0NFFly0iS0s/n0xGlUqNmCgv7b7G3oWRRMyalQHQGx+g1sDgMWgNOFrK4aIwobIwe1/qSR2nHu3sWKPBqREeMJKKsSFOW0KaHO6B6+mF+IAIIt8f1dGgY29qfhml9Xh/VEecTsrFJGLoa8/2dgh0tqAM/z54oiMVuJMlmq6eNuj52WH29kejg6jyIckzfXxxM6OIXUAA2gzPnhd74kFBOUZ8c5zKYrw80I/3t5uaX0Z9RmTJmQzi/Hg0cQDw/IZ46vf/GVFCZRgapB80AbrA7GciKGMw1NHHN/aCT/D7sM7SAR0csW52N5wjMpytBdK6oS4wDRbNiRC81JGPdxnuuGhLfLTrGv65+OCRZtHwlZu2PhuN0aEuUKk1rBGXoZMLt225pFLFCmPJx5AXGa5YmHTyJNPWpJB06Nf6HhgAsPLwbSpdTYo3Fw0NgEwiwt6EdAxfcQzh3jZU+eTJn3XCXNK59uSdHNzJKsZMHldeAJBJxNj4lK4La/L3sZQWR6XWUJqGGVFaQe1/N7Mw7OtjCHJVYMszUZSz6Bf7biD2Td106Ne2XMTdnBLq+JC6APKxmUUV2HTmPkZ0coatmRHSCsqxLyEDYzq7Uu3nJHzDM1sTlsYyykp+09xIygF3XJgb3hgSgDtZJZCKRZgW4YEb6UU4k5wHiVgEtUZDWan/OKMrcoorqJW7oXZ6QCuI/Hj3NaqcYmtmhHHf6YKZVdPCoDCRUQsIUjRKZlbsLeRwsjSmJmZ/PCaI7YoSi0QYRDgEvzk0AMsmhmLR1stYvCNBr4swZq2ug8mQIDvYVUGNTyHPI6RB4B/E6I1CzlDEhcRUbAY+jY6rlQm7OCAT44xWi8yirJvdjbcUyHee47uPr0FhWqQHpnwfq3d/W+aXU8nNvQtC8FJX+CaktgWYC5lULMJrg/zYC/OjzKLhKzdN+T4Wc3p4Uy27hsy++NqWmVbWji4KBLvqn1xe6N+OylSQJ1AyjR2XxO9XQJayqtQa3nQ1w7Znu8PHzgwZhRWYvjYOBcTFiTyJhnlaYQWxCu3/5VEUlmlP1HKpmBqkuP9qBm5lFmMK0YXyESdgJt1vz9/Lx9/zu6Odg9bnZeoPsTh6M4saN5CQVog3t13C+C66dP2m0/ep40M+Z0GZksq6vfvXFVxKKWDLJutOJMFYJsH06m40R0s5ZaXfEGaDzcktwlHZ1coEL/5+nhXaGsvE+HJiCJtlGRzkBEdLY2ysvs1the7sYYWjN7Ow4pBu3MPxN/riW2L8g4eNKZX5OpWYAyOpmPpM/yLagj1sTJGcU0K50W5/LhqF5brvH2k3kFVUgaeI9u7FIwMR6GzJtomTWbIIbxt42Zlh6Nf/4ejNLMilYrw3MtDgHCjSJwfQiXLJ86SFsRRBPL9VAFSn1IhOzpSXEYODhZwq2TIwowdS88t4M758rdSrj9yhgkIGvvMc3318DQqz151BTkklOjhb8s5laosY6t5sSoTgRQAAYFwdvHTxtMb8fu2x5Zlog8MPa4JP/EamthOzSzB21Uk8KCjntfqfwtM6ypcq3hqfAsfqVVAPQgcwf+N5vVEEDOQFmRTykoLZr/69iWHB/KlpMiBYuuc6vj+WiI1zIzEl3AMajbZNm2FcmC5QOHE7B+WVKoQT2pjVR7XZoooqNSRiUJOdF+9IwMEaHDu3PaebM3U5tQB/nk3B1meiMb66dXr5v7fw9C/nqAzO4RtZ1KRiLl9NCmUveEXlVTh1Jwc/z9GZ2k1ccwqllSpIxSKcvZuHyykFmB7pCSOpGBmFFXhjiD96+bXujAsfqfll1KydTXMjkV9ayU6AnhXthdLKKqrriOT8vXz8Gqv727KJIVSHEeOAS2a+fO3NsP25aFwkOliMZbrv9L3cUqp1/9WBfjh+K5sKJH7imR0EaLt5pkV44lcD+3snqwTzfj2HvFIlOjhbYucLPWAsk1BzhEhdG6kR27WgB68ot6i8irrYPU10dJEB9NO9fHinNWcWVfCWbvhGD/D9dklhPznlmk+fZ2fOn018GDGRnnh3eAe9uUwSsYgaRyLQcAjBSx1obJGSoYtuU8BkXhhBYKi7FT4YrT9Cnk+kS9bSGfEbGXAwqe1RIS4YGuSEqmqdBp8lOGPoRcKXKgbAdnt0b2dH7RdpptafEADPWneG9zNOyy+nshJkKycpTBy98gR1wtt5MQ1jVp3AiE7OWBPThdI07LyYRgUkC7deoi4upC/Mkt3X0d7RguoEIk+Ci4YGUN1Yr/95iSoD/Xg8CVN/jMWzfXyxbGIIzIwkOJ2ci3m/6WbmcJnczZ0S6z2/MR6nFumec0PcPaw/kURlBH48nsSuWtedSIK9hRxjqt1Uf4u9i58NuKO2FULdrdDZwxpbzqagXKlGB2dLdPW0xhwiu2dvIecNwBk+33eDyhJsf647opceYm9P7uaOLc9E46sDuuyNpbEUvxKGjly2xqfgS2KsxbGFffEVcdvJ0hjhXtpj3dffAZvP3qfmMZHeQNnFFRCJtILlH2Z0wdI916mW5R9mdDXookya3C3ox18WGxfmhu8JEzsSclaQhVzKK4B9e1gHNsDgZiQB+rfLwB1twgh1yffBOF9nF+taqCUGOs24eNqawtFSjhhiXhOgFXKr1BqYVS8C69u1KcCP8GnWAT5nyoakOZ0amR8t2c3A52LLJ9I9yyNU4ws4dlxMw+zu3vhsXCdqNcLXJg3wZ3H4bMJ/OpEE/2oNTCc3BfXccpmY0s4wn/FoQuRbqVIbzEoMIAzsqtQa9oQnEYvgbWeGBwXlmPZjHE4n5eLv53WZmUqVGu/8dYU17+Ly9eRQ9v+3Movx0T9X0aO6Q8fJ0pgyq1u65zq2PqPLtlx7UIhZ605Tup+EtEKMWHEclVVq7H6xJ0LdrSjhrbWpDBOIAO33M/fx+fgQqq17wpqTlOHf4RtZVEaAZNv5VGQWlePJntrjsfdKOrzf3M27bWtm4RB/1lNodncvqNQaNpMyoYsbFv55iRI9bns2mgrAI7xtqMwe6dPibWeGkYSWpr2DOWKiPDFh9UmqDfvI630xgXDVDXG3wuzuXuxtUovV3sEcr/xxgfJD2ftST1RUacte+69m4F2i4+bXJ8MpfYyzwhgbnopAkIsCI745rieg/3K/LuNjIZdSmrByoiuwwsC5bGu87ncmFYsoywKynFNUUUUJYBl9lUQsogIMBj6Lf7K7iuH1wf68Ql2uGSBQ+ynKd3NK8cX+m1CpNRgd6sKWpxUmdObaUNdmayWPxyunKRGClzqwg6eG2hBMi/CgWmKbkw7Ougsio7w3VEbhYsgTg1xxTPr+FG5mFGHrs7qLMdnlQMJkcciyEOM9Qc4IyirSDaIb3NEJe17syf5t9+V0Xu3MXxfSeP1jAFrka8ijRKXWYPX0LqwOZO3xJDz58xmsnq5rQ45LymW9PVytTNjuFEA7duG/1/tS74uZ/ZJbWonN86KoacAjvjlOBRbX04tYrZBIpO0OYTqgluy+jh9mdKVEoXmlSnR0scSn43Sagp6fHcazhN/O/dwyfENoM7hM7OpGBZrRSw7B194cvfzsHzoHprYYanNvLj7bewNZRRVwsNC2Qx+5kcl6sfx4LBFbiKB389ORVIfPlHAPzO/XjnbpJUqHSdklVBdOlK8txqw8STndjgxxwahvdQGOqZEE62d1w7oTyex9YR5WbIB+K7OYHfkAABueioBSpTGoXft073UkEaWe35+OxMa4e3hh03nklyq1LddE0Evq014e6EdpwkhTSnKUAJmBJAlwtmAtCwBg+aRQatI6w0sD2sPXXhvMkx1c5CKFz2flH54ghezWAvgXTnxt4KGE/oiBFOKbGknwxYQQfDUplLWGYIKY+ibsnQ0sfFoKpxKbd86RELzUgcYaC7Ah7h5vCrQ5GPfdKdzO1J6grqZpT3iy6lLLwzwB+IRwgG7F4VA9xPDH40l4fkM8a9xGwvgskHDNpgDtSmkqj+/Gb7F34Wlrxvs3I4mYOhGTJ1iy9PXi7+fRmWdAJEBfXAcv/w8h7lb4aVZX2JnLcSuzmPKzIEnNL8OaGJ0wV60Bpv4YyzsIsrJKjWO3srCT0Nik5pdRQlCyjq/RaA3V3iQ6oEZ+cxzRvrbYTJh+vbfzKrKLK6nS14JNuqGDAL3adLCQU9qdP86m4McZXdlgtEqtwZTvY3GGI9p8FFpqi/Xs7t4wkorxIzEqgzSdk4hFmEnMEbI1M0KUry3VmbN8Uigsie+8WES7Ov9y6i4qVWoq67bzYhplb//xmCB0/vAAe3tKuDsWDe1ABejMGsLCWIp2Dubo9vG/7N9C3K0oDyKyNXhuT2+MX30K/1x6AIlYhAX922PZxFAqQCP3nwwkFg0N4DWlBIDhRHaJzBiRr72gXztcuJ9PBVIMTpbGvBYVpGEf+1rB+tmWmrR7fAsnsg2cOUeRDrpMJq2MmHH344yuGN/FDSKRiC13iapFZPU1sOPLBrUkatLQNQVC8FIH+NKVjwqfKVtzcu1BIUZ8cxzfHrrFnpyZ2m97B/6WZj7MeU4Yvf3ssXZmVzhaypGYXcKWNUjhLnNCI1ueSStvsg13Y7UIkNS7PCgox7xfz7LaFlKzUalS4yCPjwwASvNSWF6F89WzXCRiEVX7vpdbQon6Fv55CT+fvItf5oTjiVAXusvIwwpvEn4qA5YdpRxPU/LK2IuOs8KY0gm9+PsFJOeU8M5yAoBOblZ4jxhJ8MofF+FoaYxtz3aHt50Z0gvLMfXHOOxNSKf8Nj7fd6PGjjkyE5NZVIFAF0t88IROE9Hvy6NUdul0ci51Eq8vT/KUA1sSwa4KnLydTa02yZKbSq2hyiZmcikVGC4c4o/7uaWUW+7meVFUG7KxTIyPRgexJVA+Xt6sywTKJCL09nPARMIP5tWBfuyIA6VKjeErdDYAYhHw6bhgKjNDljV/OJaErKIK+NqbYcszUTAzklAt4lPC3eFtrwusSDZzuvLIoJcsl1gY83vdrDh0mypfrZwaxpZFSc0NOfyT/CyZ3zkpmmeCQHL4pkQsolyAGfgyPgDtecSQzFNOpzx2qoPDtj4ygM+TqykRgpdmprm/ACSzor3Qs70dypVqfLFfK/izNpUhtXrlZ1KdJbA2lWEgzzBDcgYLkw4ng40t51Lw/X+J+GFGV+rkxifcNaQv4luNpOaXURf5fQkZ7IlQYSKjLMfJQIjUnfDNUQG0F6XtRHfPptP3qSDWSCrG0ZtZmLTmFLr72mFNTBf2b/H38pFXqqROjKTjKZmyflBQjjGdXamVaf8vj7KrNgtjKXXSPXc3D0qVhmotfWnzBXx39DZ+fTKczTytO5GM5f/qxJsAbbrVL8CBuoCtOXqH6qr68J+rSMsvp8odc9br2m4birU8U4NbEtPXxlFDGRePDIQRkf2SSUSUB8g9zkDCfVfSKVHtv6/0wiLCx8TDxhQ75/dAlUpNlTtW1DBbTKnS4BlClD09Ulum2npOK8YtV6qp7+qQICcMWa4LZj4aHQRPW913UCTSBpHLJ3XG+zsSsGTPdSrwyC9VUh1Q5AwtMmOyoH97SttCatdWEFO7yfIuQAdSLlbGvBYKfENULYylvNossuWdQSYRUQEgU5Im95/PgsEQTEn9TpbutQyZ8NUHvhEoAlqE4KUZMTStt7lYfzIZ3bxsKPfVvFIl217I/JA8bM3Y8gJ5ASZXQgxcz4+4pFxMXHOK0taQTAnXn2HCTLcG6Jo7Kbr9hWj9JM2lTt7JoU4AZFnq1T8u8k7ABkB5xYz69gTvNoBW5xDqboWiiios3HoJG+Pu4dcndS3Gq4/eoU6MpC6ovFJFtSM//es5tkTHwHRPFJVXQWEiw8lF/di/fbz7Gv65lKa3/eiVJ9E/wAHrZneDvYWc0lAoTGTUZN5D1zPx+9NRbKlBrQHe/fsKNXBx9dE7uJSSb/AzeNx4b2Qg7uaUUjqSLc9EUx4gXKE2ua2fozlm/nSGOi4/zwnHezsTKCO5fS/1wjYiCDAzklCdQVxeGeiPtceTqDIFeazJThxXKxOcv5dPZZJ+nRMBKxMZxn53AhdTCmBhLKW8ZkgR/qsD/Sgrf/I8QAYoz/T2NTjckDSHnBLugR1E0ExOrSZLuuSEe2aECZkdMST+Z7I45ZxRI8dv63dO1cXLixEKMy3i93JKMbkBDeu4nVICOlrW1fMxg+tc2RJYduAmDl3L5O30YYy6vGxNkVbddUQGFg9j3axuiPa1RblSbVDjs+m0vq6I9MkgMWRu9+6IQGq/pv6gOxF+OSGU/X+VWsNmeLj6m1sGMj9WpjIqazRm1Uk818cXbw4NYLMwz/1meOrq9zN0mZm0gnL8cjKZKptx20hJf48568/CydKYyjKdvKO7+NiZy9HewRzZxRV48uez2HclHduejaZ0AAVlSjzT25caatfr88P4caZOj3P+Xj4+3UNrT8iTvqEOqseFrfGpVIlj70s9MXqlLsDt62+P/42kgwwy+3Yzo5jq2hvfxQ2jvjmOE7d1x7KzhxVe/P08NVV838u9KOdfH3szNhMR7KrAkt3X9Nxrya4jspSbml9GZUe+mBCCT3Zfw5cHbkKp0qB/gAN+fTKCyrSQgTeZReriaQ1rU35/FMa8j4FvyjsALBkbzGZ4AdqgMtybX2u3nmcUgCHxP3muMOQKzAffd31WtBdri2BcLdpNzCrGH2fuY9iKYw1eLqrv/KG2jhC8NAPk2PuWxMdjgliPEL7VEtPh4G6tC16k1ZkCL1tTXg8VMrMxf2M8hgQ54eMxQdSJ1FD2g6xvMywcosuIkCcksltr/OpTlIEVGSTuvZJOlWYYisqrKFM30tGUDOTyS5WUfT6gzZgkpBViw1MR6OxhRdXYXa1MMKazK3t7zvqzlGbk4PVMqmxGBisA8PvTUdTtsd+dRIibFXub1PRkF1fgw9FBmNvTGyKRth16yg+xmBHlSZXIntsQD09bU2rCNbcUVMQZKNi9nU4cmdbChYSNDbkyb+9gjvGEbb+pkQRTIzypcs5bwwKoTjOAHpb557kUFFVUUb+D8/fyqe93TKQnJhLt0jZmRti9oCeb7bmcWkAJa2dGeVJ+RwBqnFW2aOslXH1QCCtTGb6aFILe/vZU9qOLp7VBE8LLKQVUWzPjfAvQlv9Twj0oc0imW6iXnz3+vpCKJ4gAkOwwXEWM/3imNz2NHqDdhEn4uiT9HS3wcx2s7cnv+txqW4DMonK4Vp8DmOx5bGIuFm69hOKKKnT1tDY4R6o+1Hf+UFtHpGkJ4yEbkMLCQigUChQUFMDSUr9z5VHwWrSrQZ7H0liqN8ejJeBjb4aXBvhh3YkkVrD6MD4eE4S3t19BuJcN2jmasyLamgjzsMKC/u0xa90Zvb/JpWK9jJTCREZNLubddzszXndPQLvaI0+azPP19rNHmIc1vuJoQvjY8FQEphEncxKxSFtusTEzwjvDOyC3pJJaAS/o1w7/XHpgcP9IZkV7Ibekkgpofp4TjpmEARb5GX0xIQSFZUqq8+PD0UFo72CO17ZcREpeGUQiYHa0N5wUcnyyW5dRsTCW8goSAa22YP9VndfIjChPeNiYtpiuuJZKNy9rShD75tAAlFRUUeMB1s3qRo2tMJKI8cogP2QUllMt0DUdn8vvDcLtzGKMIYzdauKTMcGUe+38vu2w+8oDKlMxLNgJ0yM98cW+G4jn/P6534eFQ/wpl1+GfgEOlI6vf4ADr0j+yR7ekIhFvIZ1JjIJOjhb6O3Do+BoKeddkHV0sTToZcTlwyc64t2/E9DV0xq25kbYl5ABP0dzakjha4P8UFyhYh202zrJS4c36PPV5fotZF6aGFszowYLXBradjoxqwQvb76AMI/arxqY0NfSRMaeaN8exu9Z887wDjCXSxF/Lx9zf+EXffK9p4IyJdWiyUCuwsjAYG5Pb6oD6Y+zKVR7MBMIHb2ZhQX9+Z1A7czllIHWLKINlsu62eEIcLJAbkklXvnjIo7ezKK0LCsO3a4xcCGzRutPJiPYVUFld2ZynDvJ4O6LfTcwp4c3VQZ6968r+PrfW/hhRldM7uYOjUZr5PfzSTqFT14Ye7SzowSn+69mUG3Wv5y6KwQuPHAFlWTgAmi7X8jAZe9LPfEhEWi6KIyx7bloVCjVVOCybGKIQYfXIR2dcPBaJhW4PNfH12B5BQAVuIS6WyG7uIIKXJZPCkU7e3PM/Ok04u/lw8xIQmWLyMBlXi8fKnAhRflk4NLB2ZL6rpIav/FdaKddMmtbplRRgcs0HtsD0mOFxJAnFRm4kF19ZOBCZhcZnu3jy5575FLta2YUlcPMSHsfGbi8PtgfexPSGyVwMTRb6nFGCF6aGJMGDDhKeczX6svrg/0xMkQ77bkunR/vVLt1WppIUVw9GE5hIuMdpPbnuRR8Nr4TBnRwpIRo5AmHnLxLBjJMwEe2pxo6SfxwLAmfjKUHvJFW4OTzTvkhli3jkY6c2cUVVLaH3F9rUxkV2Mz86TRmRHnhlYF+MJKKcexWtsHgDNCuOknvib8upOJdItX+8e5rlLcHFzItn15Yjnf+uoxn+vhQF7tTiTkY991JdHSxxPrZ3eCiMKZ0FnbmRpTx1vHb2Vg7qysV9L3250V8N01X4hLQZ25P2uiQOz6D1Jy4Wplg+o+nqUD2m6lheG3LRSr7t25WN/xz6QHVFbbhqQhWf7E3IR0vbb7A/m1cmBuKyquo8RNkmRCgSysX7udT5nLLJ4VixaFbWHHoNpQqDQZ0cMB307tQgmLy+7qGCDq87cxgTrQ/k9/Baw8KKUHsOmJ8BNcPiQz2ufANATTUnk+KkklBP4Ozwhi2BuYXkZoj5v2ayCSwqtbzMP5G93PLqPEKDJ/vu4ErqdrS2xLO+edRIWdLCWgRgpdaUtUA1v1iEWq8KNX1uR4V0vn28303YGYk4Z3qyqUTz6j4uMRctj3awljKtliSrcPX04vw3IZ42FsYUT9uvnkkAH9wdu1BIe+qi+vTwM1WkKwiLsixiblsW6u5XIpdC3QdD//d1IklyQt9XqlSz8fmre2Xcfx2NlZODUPP9nZ6VuCkjfra40n4kOjmuZJaSNmuc5kV7UV1UXzwz1X8/Xx39vZvsfcwe90ZOFbb2A/u6IhwbxuUVqrw7t8JWH30Dr6f0ZVawWYXV2JcmCs1RXv4iuN4nnDlvZ9bRk0uFtCH1GOMDXPV8+UhdUWp+WV6nUATVp/UE56//McFKoNx7YMhUGs0BrVG+xPSKVH715NDqeMW6GyJGTUI61/afAGJWSWwM5fjiwkhaOdgQRnuDejgiPbE+yBJyi6hXHJ/MRCEvNi/Pe4T7eNkB94zvX3xNBHs21vIeY3lwgwYR/LNWwNo3RrDg4Jy/BarC4b43HR97Mwwpfq3UlSuZBdiGTwTpbn09bfHW8M66NkTCDQ8QvBSS2o7pKsmbMzqN7GUi0QswuuDH91GnXuB/f3MfXx76BZv+pkUhl7isRpPzS9jU+ZymRjK6mCPSatLxSLW3XbT6ft6Nt0MfK6ZAC2aZVZdpKCX68zJFfGRRmt8WhtA+/4LiMCEzB5duJ+PL4guBe4ASROZBKeTcvHsb+cQ5KrA5+M7UX9/UFBOZWvIlTNAB2qWxlLKR2f9yWQsJFq3Aa3vCBlEJqQVshe3/25m49cnw/H+qI4wkUkQm5iLcd+dhIuVCXVxeffvBKTml1KOq9ypvs05b6s1EehsCW9bMywhurQ+H98JxURpTioWUZbvl1IKoNboBgUykBmXN4YE4G5uCeXUG+puRbX8c8XV3O/W0CAnaur1KwP9wGVyN3e8McQfXx24idVH71CW9llF5VQZx1C7trWpjNKFzYjyZLNF8ffy8MZW3XeLGRQJaDOo5HuwN5frvSftc+j2gVx4cTu3HoYPsdAh3XSZ4N7SRMZmZ0srVbCsziyRx5aZd0XiYCGHs5UJFv55yWB7uEDDIQQvtURkSNJeBxrKoVdVPZW5IfliQgg8bEyRVlBOpZ8ZaitqA7Rum0yZRSrWfsVszY3w+YQQbHkmCv6OFpRZHLmiIlt/SfhOBndzSuHAcxIBgLUzu1LW+3wt2AwvEBNwp/4Yx2aQFg4OoAIOQ3OOAO3nN6CDA6rUGnx35A6+PniLSt0fvZmFPYT7JxfyglJYXgVHSznrYwEAz/wWT5XMisqrqCCyHWEpX6ZU4e3tVzAz2gv7XuqFnu3tUFGlxuf7buCT3deo5/3jbIqeTkOg7lx9UEi1D78/qiO2n0+lsiW/Px1JmSw6WMixJqaLniiXHGFxM6OIMpYbHuyMkSEulLX+073o0hW3BYPcr8nd3Ck3XGtTGb6cEILMogq8/uclpOaXwdXKhBomSXrU9PKzp9q1ydZnsuRrbSrDm0M7sO+fLNt28bTGlTTdcypMZNTYDXIciKH5Y4b6TEjLekMZmdFE9x8J43au1mhYv6Ub6UW8XjBZRfrno8yiCrZhYVa0V41jCR6Vltqx2pQIwUsTwSc4bQj4Sjj1YfHfVzAtwoO6sBmCvIgykEMEyfqstDrzIq4O/rp52eCfBT3w1jDdycpQVwFfqzRAj1TIJE4i5H69+PsFPEeUQK4RJ0RuG+MuA0HFW9sv490aBma+SgQcz2+Mh525HJ+OC4aLwhgpefolF3L2U4CTBZVlWnbgJlVK+y32nt5+ke/B3kJOaXduZxZT5bA/z6XgmV/PwUgqxi9zwrFsYgisTWW4nl7E64/BEOZhRa2KBerHp3uvU4H4d9PCMJ5ode4f4ICV08Lw/X+JVHny4Ku9qVX9do624m5uCSX4XTYxBNviddvYmcvxYv/2MMTvZ+5TmYqYKC+8tf0yDl3PhEwiwrN9fPF8X3qYJJnlIffV3kJOiX5J0e2QIGcMWHaUvU36KJ27m0dlGpeODaYWY+S0dHL+2Fgi6CA1aGMMBCPk+yRZRgRzzIgNqVgEcXV2XaXWsJnjs0QLuDWPjo+Lp60pPhvfCXeyinmzRw0F18H5cUQIXpqIhmyNJi2ymdU32U1TH0oqVViy5zrvEEQAVGnhGs82hh7HCHrJvJVMIsbTvXx5L5JkyeoucQIlfR8MjVQgA8Si8iqqNEVeEM7ezaNWt+QJOMqHLluRHR1cj4k/CZMvQHth+GT3dczq7oWnenjrTdnmToV2tzalVmdvckYUcFd3XYigK6uoAl9MCKG6XRbvSMAC4sK1NyEdA5Ydxc8nk/FEqCsOvtqHugAwkKvb+Hv5GFrLKeIChuHqtZ4lBKpSsQjtHMwx5ftYyh/l31d6wVgmoXQ03OwBmXEBtGMtSB3NnB5e+JpwuJ3UVd+xmmTFwVuoqFIj2tcWn47rhLjEHKp0+GL/9tRrkqXUrKIK6uIe91Z/tjS+6fQ9KnjgK1UxPMsR7wbyLI4AeowIWUYmAzxDZWcSsnwfXL34U2s0kFQvsBLSCqkhqAxkZon722aY2NUdi/9OoDJNDcXCIf68g2sfV4TgpQlo6DEAZNsiw6P8WHzszbBoaABMjSRUyYgUpdaltEBmRpjAIK2gHGrO1GlGBEiKYflKVgC/jTdAz1eJIx77RKgLNUAxq6iCmr1EGnqRDpanEnMoYSt5Aj53NxcJ7w9mb9/lDGjr4GyJgjIlPtl9HcdvZ2PxqI5UULn831vUAMLNZ+/XuDoj258BwN3aBPOJbNJzG+IxtrMuCMsqqqCs2QHtjKn3dl7F2FUn8KCgDMsmheLXJ8Op7+SBqxn4nhBWv09Y1AvUD74xFwxVag3W/JdIZeK6eVnj2K1sdF96iL1vVrQXRoTQehju1GSubo1sYQ73ssHNTFoMzLUxsLeQ453hHeCsMMErf1zUy4L+cIz2YTGUmZ0V7YWt8SlUOZiE/E6RnXWAfvMB2clDGkqSn5elgQGPhsrODBbGUhx6tTf7mkx5SCQS1amZokrNX7b6fN8NlClVCPe24R02yjewtrZ8tveGXvD6OCMEL01AU44BID0MaktiVgk2nb6H90d1pLwOig1cWPmGhXHn5fAxfvVJyjqbmTAb5mGN3jzunVzLfgbyBErOVyFXqX9fSMMczsmDnL1EamViE3Mp0STZmkmK+84k52Hpnuts5w+3HTzU3QqvDPSDwkRbnnn3ryusNwRDTW3ooe5WVObnpxN0V9JfF9Lwx1lau7OZc5t7bN4Z3gEWcikuphRg1Lcn8NE/VxHqboUL/xvEbpOYVYJXt1w0qBEQqDukxirE3Qp9/Onvt5u1CX6Y0ZUVtJ5JzqMu8DZmRriaVkiVTZaMDaZKiXbmct7fDcPp5FzKbHJKuDvlujsr2gsTurjhqwM32VEB3MwcmUEyl0upjMTySaFsiWf9yWTKB4j83nIhR08EuyrwcQ0djqT3DfnbIIcu+hiYCM3HlxNCYGokZae/i6ArFZEZp7p4aJEjBCyMpXhrWADaO5hTv3VmG/KcalvLBg7ud0dAixC8tDIeNvGUGZ5W1wvR3ZxSvP7nJXjY8J8ISAEf37Awvg4kgK5fx9/Lx+iVJ/DK5gtILyhng5OiciWbBiYDE0MD1wxpNrg1bj4HUIYuXN0LMclXYaILShKzS6ghjb/G3mWzSd28bHDw1d7s3zadvoe1x5MwM8oTUyM8IBGL8O81OkvGtf8nW5Uv3M+HwkRGtYK/W112Y8jklJK4tvMv9m9PZbI+2nUNH44OwvBOzlCpNfjxeBL6fXkUexMeYAMxDqGovMqgRkCg/gwPdsagQEdqRtFzfXxx4OXeyC+tNNj+nFtSidPJukyijZkR/vc3/V0Y38UNRwkNylQeMzcSrmj98I1MrDpyByWVKoS6W2HxyEAk5dBde/2JLCp54Z0V7QVfe3PD88WI7y13Ng/ZweZhY0qVS8nvLhdyiCTJw5yrw71t2JZ1c7kUFVW6gMyQ3q0uHlrkMVw4WDsck+tNw3eccwxkqRgGdNDKA8jvDjcb+zgjBC91oC6j0huL2k48Tc0vowKOmlg4xB9TwrUnPm4LMENyTu0FYuRqkDy5MSZw286nou8XR9hVVVF5FWyrp7OKRNqSDxdDA9cMdRsB+gI7MgghJ+RysTSRUsGSobbuA1czEH83j1qtFpQpseLQbZy8nY1XBvrprYy7etpQgdNX/96kHEr3JqQbNOACtHonsvGtXKmmuqW+2H9TbyX60uYLUKk0+HB0ELxsTZFVVIGXN19sVV4UzIm8tbHr8gPq+7P12Wi8MtAPm07fw+t/XmLvH9PZlQqaAfr7m1tSqbdoIE0ae7a3wwlOafVVjs7E3YZe0DDdeq8O9IObtQne33mVytTMivairP3J3+X5+/kY+e1x9jbZlceFOymd1KZxg4fGmF4eE+mJkgrtb8pULqWGjJKfYUPoSd79OwEZhRXwsjXFp+MezaiOu/ABtNnYlkJtM0eNhRC81IFJ3WoWv7U0mICDr05N2s9/tvcG7ueWYunYYIMdPg+DNOMiV4Mk8XfzsKB/e3TxtEaZUsUKDfcmpMOm2sUyt6QStmbagGReLx+9TAVAl0a4mQiS0Z1dKXM4Q0EIQLeb3s8tMxgsAbT48PU/L7E1em87MywZGww7czmSc0q19e9KFbX98dvZlPcHABy+wf95AVo/CzK42X81A08Sq6/U/DL8fDKZEjDyuX/uTUjHR/9cxZAgZ8zv2w7GMnGrapHmnshDGqjLrimZGuGByio1hq84Ts2imhLujtuZxZSj86sD/SiBqJetaY16iWO3sikNVm8/e6pFenqkB3IIqwaZRISZUZ4YGuSEbw7fxj+XHuh5I5EZzqkRHpjXS6cvu8iZnMy9zd03hvFd3KjmhR7t7KjsDikl4QZzdeHlAX6sfYCtmRGbNSqpqML8jfxT30k9CV9p3BDkQE2pWIR5vX0woas73tuhO8Z8F3q+4xnsquAdcNsSqU1namPSOj6lFgLZ8VJbnu2jPwX1UaiPLoFxwCR9T0hxmlwqxvHb2fjfjgQM4wgCGR72gyJnfJCQGYy0gnKsOHgLcqmYEtoCYGvxOcWVrH13dnElr+iNr2zFQI4aWHcimVfczECmYPkGxDF0clNQn93Kw7d5t0vKLoGNmRGOvN4HL/TTBgink3Op1kwAuJFBp9q5x5R8z5VVaqTklcHOXBec/MjRzRSWV9VoimVtKkOkjw0qqtRYffQOtsWn4NWB/gbnwLQGLhooU7ZkzibnYsoPsXrHf9Pp+1RGdXiwMxV4hHlYIcTdiirbkP4qgP7vk7uA+ONsClUKmRnlhX8uPcDPp+6iskqNKB9bLOhHt1iT5Us/B3MMW6HzmyF9hQC6dZfJ4jKQ2jDSh6WdgzmKK6qo7M64MN37IoO52maRGUI9rFjxsCUx2HXaj3GUsN9QtqWmcwwX8ni+N6ojjt3MZoW7DHwlIvJ4MgL6y6kFrcYYcnA99JUNiRC81IH6GAPllyrrFMU/jNrqEsiTGfPDCfO05hWiLRwSwFraf0e0aZLU5QdFtjqSGYw+/vYwkohx8k4OVh25o2fpD2gzE8xJ50FBGTsscFCgI+UNQ0K2cXNHDXC7H8jX/OVUssH3QHY5XEopgDWxcuIKsMm263m/nsO7f13B+C5uOPxaH4wN029N5mYN7CzkVIvn2uNJ1Gd4K7OYaoflw44zr2VuT10AlFeqhEQswoL+7eFqZYK0gnJ8vPsaDl7jF1a3FmJqsLxvidzMKIZYBN7vBAm3lHI9vQh/E1b3Izo5U1PSnSyN9Vx6uS3D3K6kH48nIaekEj52Zpjb0xvlVSqqxXpeLx+8RXgcvUeIiSViUY1ZEbL0PDDQkXIMJtuUb2cWUwJ+AKxwGKDLz2TZ2lDWbcszUezz25kbIa9U+9vfaKAUDtDZFtL9uL6889cVXH1QCIWJDIuG1t4FnRvwtQZ87flHRjQVQvBSB8T1GBGw6fS9OkXxNeFShx8XX7Bx7FY2u/oiTwwf/nMVJjIJ3hoWQGUY6tLWRwZ2hjxfjtzIwrRIDwzu6AiNhrb0J4WnjEr/VGIO3Kqf915uKYKqNUfGMjF1Aqup/ME9KZBHkNvuSFryk10OAJ2pkopF1GqSW6bZfj4V/b88im8P3cbCwQH454Ue6EV83hdTCiidzMX7+Xot4tzPkLuyHsG5WHXzsqGyXD8cS6L8gE7czsG3h26hm5c12wrelF1wjQE5zwdoHZN3R4e6UqZyQa6Weh2CXONJrnj0n0t0cKOBhvI6mRLuQbUMe9uZUZk7QNsiPTXCAy5WJvjhWBKldfGxM0O/AAdKdEue+lRqDeVPw53nRHKAk/kkgyiJWFRjdySZPSJ1XGTWbX7fdmy5y9HCmF2sGEnErNPwRkI8W9O+PjAgnn4YXG+oCV3c8Gwf3xqzuQyMYWZNxpFcHqXduiFpiJE5j4IQvNQRvmxBU2GoM6E+kKsMqViE/VczsPzfW5jUTXexN9QqzUdtHR/XnUhGQlohZkR5UgLoOzwaE40GWHssiX1+T1vtZ1+l0mDT05G8z88d2rjp9D0q6KupM+FMcq7Bv5Er2Sq1Bu2IVYeKEwSFuClQpdZgQ9w99P78MHZcTMPXk0KpuSvcgIcbSHE7NPoG2FOGdv9cekCdNPdcSUcqx6eCWzJTa7Tt1nxTetsCrWHyLve4q9S0eHxiVzeqc09hItMTK5N6NUB/dAZXdG9jZkRl7iZ1dUeouxU2xt3D8dvZkIpFmB7pwWo3ErNLMOn7WHZ7X3szapYQl1+IuUl9OW293EwveU4Z3NGRslWoyU7f0O92SoQHNBrtOYzU7JAlLkP72lCQXVDvDO+A21nFWLrnukHPG4YAJwvK5K+2NJSr+qPA7XJsDoTgpY5w54i0VPiCYlI09nv1fJPwarv+rp7WKK1UNaqa3UVhDAcLOVLyyvDLqbt6F32GCMJllzGnK61UoaBUCSOpGFVqDXKKK9nVGDkXhdupIxbRQR9XX9KeqN2T6W3ufpy8k0MFrtyTDlPeArQrw6kRHujsYYWKKjW+/y8RPT87DKsaUu1hHlbU6jg2MZcyuOO7MHNbR7mZFLJNHdC2hzdEarwl8ygiz+aA61ZNloMArdaDFCsP6OCoZ6bGbS/mur+SWRIXhTG2xqewGZGRIS7495XeGNnJRU+Lw3A/r4zq0BnN0w3IwBWf1/Sd3305nfrOWtby2DGT6n3szPCguozubGWMPVd0GSlD2e7GThZ8tOsazt/Lh5mRxOCYhg+rh8QaajN/GA8z4msK3hke+PCNGhkheKkjNZlCNTajamhH5MIXF/CJxk4n5+J2ZjH+mBeFT8cFU909htKT9Z3TlFZQjh7t7DA90gMWcilVGiHbOOMMuOwOW3GMTTsnZZfAtzrwMJGJDZ4o+vg7UFkTrmaINLviwi3dkGUu7oqS26W1Me4e8kuVGBniAn9HCxRXVFFC22kRHtTk6fh7+XpOzFzXZK4bL1c02c3LmhqDcD29iCqFnbubV+/UeGuBFHm2BbjCZG7XVZCrJaUb6e1nT2XxuB1EaQXlqFJr0NvPHv+80APP9fHF5/tuUJkW7jmOq5f5i9DfkKVJQ69naFvu6p38bRpqw50Woeua8rA1ZQO5+7ll+GT3w4fVPoq2xJBpJtczamSICxb0b4/fz/BnON/9O4H3/trCzbw1Bz0ecRxNQyAEL3WkOVeuOy+lPXyjWkK+j/kbz2PGT6fRzcsGR1/vy95PpnhJz4lHmdO07Xwq/jibgv4dHKhg7H5u3QzSnvntHCtSvZVZjI4uWoFrgJMF1s3qxm536HomztagieF2MZCZGO60XzKTUVqpooIibsBlZiRBUnYJdl5MQ5lShd5+9lSAsyHuHlLyyqisETewItufAaCjiyWVvr+dWUyVl84k5+lpY7iaA4GWCzeDIhbpmxpy4drFc7uMuPPDera3w9Zno/H6YH98c+gWhn59TE8gHMvJ6HH9YUhq6uaradsuntYo42h5SNE5udD6dmpntnTm52iBm9UZorJKFV7afKHWrw/gkUqm3PMBA5nZenNoAFLzSrFkz3WqnEf+zh8VY5l+00VTw/XuaQ6afw9aGSLu0qIJMTAFvtaQKwdyBW5U3So9ZPkxqmxEpljzShtmRdvNyxqVVWr8dSEN+68aNop7GKWVKtYxNDYxhxXz3sosRpSvLRvMAPriZXL6NNd8j5uJIbNM3DQvN31LfjVKKlWI8rGFjZkR7uWW4ujNLFSpNOjsYcVu8/XBW/hsn261+ESoC3WMMgorqAtaQloh64fDEJtIB01twSW3LsL0toLCRIaLHIO2QBdLqlxDfqcZHtbJSAbVH44OwmuD/PHdkdsY8c1x7EvIgEiknwEhSznmcim1sCA7+/ggz1EhNbjlnrubp6fhyyZ8aMiOrJ7t7NmApb2jOStONpShrQlDppaGPkdu6ZXBkD5n6d7riL+XD1MjCV4f7M/OUyOnZj8qt2vIFjcFfN/D5kAIXupBc7VoPurkaEMrh6d6eGtbpVVqapbKprn8otj6GtkBQGFZFaZFeCDU3Yo6MT8Kd7JK2BZvlVqDmxlF7EV/Xi8fbH46kgpY+KZiG0JewyqHW1brxHFgPpWYA2tTGbp6WsPGzAip+WVUVwdAn+z/vpCGvS/1ov7ObSVNL6RP+Hwrc7M6zGVpCbTnlL8aUpjeWigoU+otTrhZlYQ0+nagsyWl7ehgYBozw79XM/DEyhP491omxCKt8DPEzYoSy3OPBVe0T3b2cQMB7rqONK7jljhtzYwMTo8eGeLCitvdrE1gJBXjfp52kbFk9/V6lwatTWXo5GbF+zdDGhlywUKWh8gSLpmB1Wi0bsmHXu2DEZ2cqXlqbYX/jWh+vQsgBC/1grRjb0oacsw66bew6sgd5JVWYl5vH0qUStbBh3TUtTRypyk/DFIfciOjCBvi7qFcqaLcb+sDmZUg22a3n09FSPVJ6sL9fET42GLPiz0NPo8PZ+VJlmayOA6+ZFaguKKKeixXnyCTiHAnqwRn7+bBXC5FRxdLvWGO3JVd38+PUCtWvuCEvK9cqdYTIdfUGdISqUl3JGAYribrRjp9m7v4OHozCxKxCO0dzBHgZIkrqQV6wTE3c2dTgwU81926Ji0GN1sgFouo/X++ry/7PR4U6Mh2XAW7KrD66B02sCPN/B4WrHHJK1VSmiFuZxQDd6wIA1keIn/3ZAZ267PR+HB0EH4+lYyBy/6r0/61FmrKqDUlress10JwsGydaW2yBEK28VnIpbiSqp1gayhNOspAh4GhH3pXYpVC+lRM7OoGC7kU19OL2I4nPgyVDsj2au6Jl2HdiWR8W+2Cezm1gO1qYlxJe/vZU27J3FEAXIEiCTcrUNMYAaVKAzdrExjLxLiXW8qunLmiWjJlXalSUyvWsWFueuZ8ItBLXO4Fp6FKfALNB58vCwlf9ZoU6S8eGYjpa+P0ntPBQo5bmcW4+qAQao2+CJX8rUrEIuo88TB3b7K8xNXJcLt8yEVBtK8t5vdtj4zqrGJnDyvEVwcKe66kU+Z55POQGVRD5SxuSYy88JKdUaTRJPn7Yco+XLi2BIC2+ykpuwT9vjiC747caTVOuXWlJWhuACF4qTd1tauuDQ87OdTH4ZfEkNB2UEcnjOjkDJGI9pwgV1LPbdDNA/n1yXD2/+QPnSxrka3EZDZny7kU9Pa3x9gwV73yRjjRmkwGCWRAVdvBlIzvTGmlCisO3kKVSo1u1eLFonIlfnsqwmD3ADfbwe0Cqgnuc6bklUEqFsPGzAimRhLklyr1sjnclDV5odoYdw+n7uRQpcqaBjcKtA24jsrc7wxX+8R0tTG8v/MqZUVgYSxFdnEFHhSUQ1JtsmhtKqNKydwuQq6VQU16Kq5hGVeATz6Vt50ZPh4ThO7ttOWWfgEOuJxagCq1BmZGEhy4mmFQCGzAXYEqZ5HnUbIkNqazq8EZTFuIsQWkyJks+5CjC0hd0IopnQFovWhe23IRmUXawYzNPfunMWhJU61FGs2jykBbFoWFhVAoFCgoKIClZeMJi9LyyxC99FCjPX9jIxWLqJZKO3MjDAt2RkJaIZUe5WNIRyfsTdAGOQFOFg/1K7AzN6LEeIC2pDKggyPEIhHvWHqJWGTQB6Y2OCuMKVGyq5UJ+gU44NfYu5BJRLj83mAsO3AT3/+XiMEdHdHJzarGwY0kRlJxjdkZEvJzlkvFMJdLUVGlprQERhJxnVZp/QIckJZfRn3ucqm41TvmCtSPz8d3wrUHRZTYnu87JZOIYCyTQK3WoKSyYQNgUyOJnhMwH+42JjjyWl+IAIR9dAD5pUr89Xx3/HnuPn6L1e8EcrI01tN5tQQ6uljqaZAAbZA4PNgZDwrKqc4vBTFfqSkxlokbTFsIABcXD2pUL6W6XL8bNfOSl5eHmJgYKBQKKBQKxMTEID8/3+D2SqUSb7zxBoKDg2FmZgYXFxfMmDEDaWkN1yLcULjUY0BiS4IMXHzszJBdXIlfTt01eAIihXxM4AIAn48P4d2eXAWSgYuPvRm6elpDqdJgz5V07L6iH7gA+qu+2kBmw7h+Jqn5ZawuRqnS4K/zqeheXTq6nFKA5/r46lnuG6K2gQug/ZyZslBFlRo5JZUoqayidCl1TS8fup6JcWFumBKu0wy1hsDlpQH8XjwCdYObsXxz22W9LkHud8pIKoZIJEJReVW9ApeHmbvVFLiQXkOLR3SERCxCYnYxawr5zcFbvIELQAvUDXm/1Bauto2E68zNwFeeszUzQn+O6zFDj3Z22HIuhdUXMTSX/1BDBi5AyzKBbNTgZerUqbhw4QL27t2LvXv34sKFC4iJiTG4fWlpKeLj4/Huu+8iPj4e27Ztw82bNzFq1KjG3M16Q9ZJmwJu3buhsDKVYWSItk3XUCeOIVHlyG+Ps/9/daAf+3/SrZMsuyRmlSAtvwxDg5wQ5WP7yO3fpLMtt+2ZxNbMiCrpLNp2Gd//p+1QSisoR1J2CXuS9Xe0wM9zwnmfpz5wy0IaTd0CID4+3n2NGtbXGlj+762HbyRQI0/28MYrg/yp+7ijJfji/soq9SN95+qbBJ3T3RsfPhEEQBsAhfvYoKJKhYV/XmK3IadK10QOR6dXV2qaCWSoFEuen5hp7zkllVhxkP+7vOdKOlRqDSJ9bGq9GKorhgKtxub1wf4P36gJabSy0bVr1xAYGIjY2FhEREQAAGJjYxEVFYXr16/D3792H8SZM2cQHh6Ou3fvwsPj4e6ITVU2AgClSo32b+9p1Nfo3s4WJ243jR10tK8tzOXSOhlPkbjbmMDGTG6wrsxFYSJDpI9NnWfS1DYVam0qozQ5NZWiXBTG+HlOOAYt/w8aDRD7Zn/EJuawJljNlfYVECCxt5Dr6V9aGm8MCWB9TY4t7ItTd3KwcOslWJnKMLGrO7acvd+gonJuCbwxiPC2qZWvTIibAm42pohLzKEyzhZyqZ5DdmsjacmwRvc5axFlo1OnTkGhULCBCwBERkZCoVDg5MmTtX6egoICiEQiWFlZNcJePhpN4TLIBC7OCmO9DoSGIsDJAiKRtuXvUC1XQXzczy1jA5dxYW4GfWmGBjnBy9YUBWXKeg3Tq+0KknuCrKkUlVZQjmErjrErraM3M9Hbz55Nl299NlpvQJ6AQFPT0gOXw6/1YYX+7RzM4aQwxsKt2ixLfqkS3/+XWGPgQrrs1hazWmZhuOMJGAyNO5nU1R1h1aaStTXEyy6uxK5LD5BdXEl1ETZF4EL6zTQGzWnQykejXX3T09Ph4KDfZubg4ID09No5q5aXl2PRokWYOnWqwSisoqIChYWF1L+m5NCrvZvkdR4UlGPH/O6N8tzX04vQz98BYR5WDbaC2RqfwrY7WpnKqHr1nivpMJZJMLijo55RlaEuLjJVWt9dNJKIeWvYDGR5542tl7E1PgVe1ZOsT9zOxrdTO7OeNT7NOF1cQKClMC3CA4uGalv5fezN4G1nhsPVC6DbmcWI+OQgtf3DtDNktqK2o1jIjKihDsIQNwWVUSZ/v2QXZjsHc/Zcs+vyA8RzTCUfRmp+GRws5BjS0cmg8d2jwh0jwdCYAxtPv92/0Z67vtQ5eHnvvfcgEolq/Hf27FkA/JGaRqOpVQSnVCoxefJkqNVqrFq1yuB2S5YsYQXBCoUC7u6PZnxWV3zszR++UQMx7rvaZ6zqysHrmbiTVfLIgydJfQsjDMwvVeLNYR2oba6nF2FfQgayiiuo1kRDupWGaA+uVKnrpLH5aNc1JFYPY1y8IwFikQh9/bUB+eAgJ1z438BH3icBgdZKV09rfDwmGJerDeV6tbfHn+dSsK3avh+g/aQA/YVHTfoNUnTPnZRtCEMu4lwDycRsfn+mBf3bs+casiPQ0FgBLgM6OMLN2oRqamhoSH+rXk00KNjBouV5m9U5eJk/fz6uXbtW47+goCA4OTkhI0O/JJCVlQVHx5rT70qlEhMnTkRSUhIOHDhQY+3rzTffREFBAfvv/n3DxmeNxXfTwprkdcgf87xePg363N52ZigoU+oNdiMxNP+DdI0lu15IS/DXtlxk/7/p6Ui8NsgPDtX1+9PJdZ9RQtJU2Uy/d/aw6eO9V9KhMJHhuT6+ALSrxKkR9Z9YKyDQGoh7qz8iqv2YhgY7o6xSxVodrD+ZTP3OawO5KKlpCKX4EX/kUT6GSyobn9JJGxZsOs/+n/SXIt2EDWWHve3M8O+1DMTfy9cbkNqQkB/FfzWcrxuK35/mHxPT3DS6YDcuLg7h4drOjbi4OERGRtYo2GUCl1u3buHw4cOwt69bZNmUgl0Sr0W7Gv01gl0VtTZpqyuuViZwszZBck4JNQ2Vz6MF0Hbv5JTo319bYdrrg/0xNswVZ5Lz8PPJ5Id6y9SXR/WLqYmxYa4Y2ckFs9efgZFEjLPvDsD+hIw6n8AFBFoqIzo5459L2uDk5znh8He0QNTSg9BotN2WpLlbU9EQouUOzpZ1mnFmCEtjKVV2kopFCHW3glqjqXPJqbb8MS8KE9ecapTn5iN56fAme60WIdjt0KEDhgwZgrlz5yI2NhaxsbGYO3cuRowYQQUuAQEB2L59OwCgqqoK48ePx9mzZ7FhwwaoVCqkp6cjPT0dlZX6F8qWxNKxwY3+GoYClxf7P7p/Rmp+GeKSciEVi1mRGgDewAUAb+AC1F6Y9vm+G+j12WEcuJqBN4YEsNb9XLjOnbWB9MForMAFALbFp2L2+jMAtCWpTXH3MKKTM+uFsGRsMGZ392q01xcQaEwOvdobE7pqy/A2ZkbwsTPD2FUn2NJrcwQuAC1aNuT9wtW+kOeRuT29GyRwAWi9TJiHFTq6KnDuXl6jBS4+9mZYc/ROozw3H+tmd2uy16orjeqwm5ubiwULFmDHjh0AgFGjRuHbb7+lOodEIhHWrVuHWbNmITk5Gd7e/PbDhw8fRp8+fR76ms2VeQGaJvvSWIR72eBWZlGTzcXxtTejrLtJZnf3wroTyU2yHw1N93a2OJ2UC6VKg9GhLlg+uTPm/XqW7apqDa2uAo8nbw/rgMTsYmw6fR8929vh1ycjMPOn0zWWklsDM6I88WQPb/T+/EiTvWZDZ8mHd3LGrkv8hp6NSVNmXYC6Xb+F8QANyPbzKXh5M10yMJdL4WAhNygQa2imhLtj0+n66X68bE2hMJEhKbvE4BykhsJYJoafowWUKg2Ss0uo2ne4lw2rg2nt/ghvDQuAwkSGN7ZehrWpDCcX9ce5u3nYfj4V+6+mGxQYCgg0Nl62pqxA/oMnOmJ6hCd6fnYYqfllCPeyQZVa3WgZhKZkXm8frDma2OivIxIBnVwVkIhFuJRS0GCdmyYySbPMM9s4NwLRvvx2F42FELw0U/AC8Gdftj8XjTGrGq9TyBBBrpa4klr39KibtQlSeKamPipmRhJea3JnhTEkYpHB1xwV4oIdF/XdZMWi+rdNNxevDPTDC/3aQSQSobJKjRN3srH3cjr2X00XpkELNBkb50bAQi7DyG+Pw0gqxq9zwvH1wVuN2m7bVPT1t8fdnNI6LxjrMrOMjwAnC9zMKGqwc9K0CA9siOMfm9AUNHXWBRCCl2YNXi7ez8cTK0/o3R8T6cnO1mkqXBTG1HTmh9HRxRLJ2SUNOrSN63JLYm8hR0Gpsk6zfdbO7Ionfz7bULvXLHjbmWFQoCMGBjoi1N0KUokYVSo1NsTdw+IdCc29ewJtDD9HcwwLdsapOzmIS8rFyBAXfDUxBEO/PmZw7Edr490Rgfjwn6u8f7MxM9Jr2X4Yj5Lxbedgjtut/HM9+Gpv+DahDQiDELw0Y/AC8GdfHC3lVBdPfbEzlyO7uO7P88pAPyw7cPOh27lamUAuFT9SmUskQq39VMzlUsgk2o6gupaqmnJ0QmNhYSxFd1879PKzRy8/Oyz881KbWP0KNC+RPjboH+CIfh0c4GtvjqJyJYLf2w9Aa21QVqlqFcM8a6JfgAPrCN5cpRUGkQhoZ28OiViE25nF9S4Zhbgp9DxpSJoq29wcWRdACF6aPXgpKFUi5IP9zfLatcFQcEGOtW+oYKsmjCTiOk9U5kIKf2s7f0RAoK1z4X8DIZOIEZeUg/9uZmP9yeTm3qVHhrQ9aIrzU13wtDXF3RoGw9ZElI8tTiXWbsFiZSpjp3E3Fjc+GgK5tHmGP9bl+l330ZwCD0VhKkNff3scvtEyVfoR3jaITdS/yNuYGcHDRorU/LImOTGoNRqYyCSoVKnr3dJMdizdyiw2qKsREHicCP3gQHPvQoPzbG9ffHv4NgDU+vzUFEMbAeBuTikkYhF87MwgEYtwPb2oVo9zsJDXOnAB0OiBy+zuXs0WuNSVxp8s+Jjy06yW2x9PBi4vDdB5xKTkleF6ehGMJGK41HKuyKNQpdagTKlqMC+W3JJKKnB5vq9vgzyvgIBA0zM82Jm6zQQudaEpAhcA8LAxhYuVMW5lFtcqcGHmE2W2MNuExSM7Nvcu1BoheGkkRCIRds7v0dy78VCW/3uL/f+ADg6wNpUhp6SyTkLflsrKw7SZ04woz2baEwEBgYchl4oR6aObc8aMHWgN3Mstxf3cshpNNa2JMSrkfKKWwuHX+jT3LtQJIXhpRILdFDUOHmtp/HstE+tmh+PTccHUXI+2wi+n6G6vkSEuCPe2MbC1gIBAY9M/wIH9f0WVmrec3Rowl0vhZm1icIBjV0/rFm2FEOyqgDcxabs1IAh2Gxm1WgOft3Y3927UiSgfW8yM9oK5XIrpa+Oae3caFRszIyir1GxbpJOlMdILW3/WSUCgJdKjnR2O385u7t1oUJwVxiiuqNIznBzc0ZF11m7pJC0ZBlFTTbitAaHbqAUFLwBwOaUAI7893ty7UStIRb+rlQlS8xverK6l01gmfQICjxPuNiZQVmkem8WAo6Uc0yI8a2VJ0ZI4+nofeNq2jKxLixjMKKAj2E2BkGqBVktHpdbAztwIJjKJXuDSy69uE75bK9zAxbkJxMsCAm2JACcL5JcoH4vAJdLHBl9PDsVHo4PxZzMNq6wvT4S6tJjApa4ImZcmQqPRwPvN1lM+kkvFkIpFBtuO3xgSgE/3Xm/ivRIQEGiJNIRnU2tk3axuOHc3D3+eS2mVgVpzmdEZQigbtcDgBQDySytbhf8CWTqqDYMCHbH/auuo7QoICAg8CoZmxtXFWbwlcO2DITAxalkNJULZqIViZWqE1dPDmns3HopKrYFULKqx7Y+EG7hYGAvehwICAm0TQ8NuW1PgsnFuRIsLXOqKELw0MUOCnCkvg5ZKlVpTb/M4UnU/trNrQ+2SgICAQJPQzkE3lLCDc8vK4D8qE7q4IdrXrrl345ERgpdm4Peno5p7F5qMbedTm3sXBFoo47u44cZHQ9CeuFAcerU3LvxvILVd8tLhGBniwt7+eU44bn88lNomackwvDbIj7390eggJC8djr7+tMhcCKYFagM5FfraA/5MS2vl8wkhzb0LDYIQvDQTtzgn37pAGt+Rro2tjWhf2+beBYEGwNfeDNufi6a+lzKJCDIJf9mRsZPYffkBEtIKqe6utceTsOoI7Yx88k42jt/SzQn7/r872BB3j9pm9+V0/HUhjb39W+xd7EtIx+EbWZCKRax52MOCaZEIekZjc3t61/gYgdaJnbkR+38/R/Matmw7JH4yrLl3ocEQgpdmQiYR4+w7A+r1WHL0+9vDAxtql5qck3fogWTBrgq0czCvtdZGoGkY0tEJXT2t2dub5kZiUld3ANqZLjtf6IEv999EmVKFUHcruFqZQKnSQKnSoJObAssnhVLPd+btAejiaY3SShXGrjpJfZ83xN3D9/8lAtBOOQeAqT/EIa9UCVMjCcQi4MTtHCzekQBAO2UXAJ7fGI/bmcUQi8AOxpv36zkAwJM9vbFxbiS1D0df74MQNwV7e1yYG8aFuUGj0c2b6VT994PXM7HhqQh2Ww8bU/zzAj36I8zDqg6fqEBLILu4kv3/zYziGrZsG1x+bxDEbejcKgQvzYiduRzbnot+pOdYdfg2Vk/v0kB71LxcTi1AUnYJPG1M4Wtv1ursqlsjfNmRMZ1dYSzTnRpe6N8Od7J0J/cle65h89n7AIDPx3fCrksPcPx2NuRSMZZPCkUUkVF7trcvuhCBD6D93r8/ih4At//lXngiVFcaGtDBAQdf7U1t88uccLzYX1ca8rI1xfE3+sFIotvXJWOD8fHoIOpxL/RrD1crE+o+W3M5NRqim5c13h7egdrm1zkRsLeQIzGrBNN+1DlN38stxXZOBuc9zvvp3k4/qygViyBtQxeP1oDg0aRl70s9YWHcerP0fAjBSzMT5mGNFVM61/vxidkl+PPcffZH2rmVrwBVag0Ss0twJ6sESdklzb07rR6yBOLnaI47nwzDuXcGsBd8pUqDfsR8GQAYFeKCcqXOs2P4iuPUXJZLKQUAgFnRXvCxN8dHu64BAF4e6AcrUxmO3tSVeLbGp+Kdv65Qz3/0ZhbcbUyp+7ztzOBB3OfnaAE7c7p842tvTn2/LYxlMJdLISUCsGBXK/TkmCmaGUnw3VG6FPX+jgT8TZSZvj54C9viaYOxlPxSvUBoeqQHAG15i+S5DfHU7ZlRXtTtACcLVKk1NU45tmrFJeCWgq2ZEXX7QSseMEsG3HJp/S/Va2d2RYBT2xIdA0Lw0iIYFeKC/42of/nn32uZ7I80Na+MbVX24FwgBNo+7jZ0hiGzqAJm1eWXmxnF2BqfAltzOWUoNqSjE/WY2evP8D43N0u4cIg/3t5+GQVlSgS5WuKpHt744J+ryKouuwDAv9cycPRmFoykYvSpFs++vyMBH/5zlXquT/dcx09EQPBr7F18xjFB/GjXNepxl1MLsOzATZQSRopvbr+M96pLSgyrjtzBmurgZWqENvjYci4FmUUVcLSUw1lhjAcF5WwQxvDG1kvo5kV3Br41jM7OrJvVDTKJSM+V+enqkhVDDGeiOTerBAD5nMF9hob8CRgmp6Ty4Ru1AjxsTPEUobWqqKqfAeDrg/3Rv4NjQ+1Wi0IIXloIc3p4Y0H/9o/8PJlFFWyrsqmRBAoTYTXXluFWIe7n6s9kWj8nHG8NCwAALNt/Ewev0b48C7deAgC978rel3pStws4F9f3d1zF/qsZkElE+GxcCP67lYVt8akQiYCtz0ZjRCdndtsX+rbDiimdYWcur84WarMco6tLRT8eT0JJpQqdPawQ5GqJovIq/HBMG8ww+pqt8Sm4lVkMGzMjDArUnpBXHLwFABge7AwLuRQX7+fjwNUMSMUiDA/Wvv7n+26gokqNKB9bfDw6iBrV8b8RHfU0OScX9YPCRIYrqYXo/CFtKvkVZ25NdnEFtar9aVZX3qDj7e109qlCSV+MRhHdVAwFZS13CrFA4/LFhBC8v/PqwzesgTndvfF833YNtEctaY8oygAANZZJREFUDyF4aUG8MtAPbwwJaLDnu55exP4/1N1KL6Uq0HL4cUZXvM1Z1dcGvioEqeUAAD8HC8yI8oKrlQnSC8vx5M9nAdBdaxZyKZaMDWZvK0xkWLqHznxwMzKM7uWlAX5wtTbBm9suAwCe6uGNMA8rZBB26SqNBpbGMqqduWd7O3w5MZR6zs/GdcJHo4Op+5aMDUYoEXC8OTQAn47rRD9ufCcq+B8S5ISvOEHJR2OCoNEAZZU6H6IL9/Mg46TkLYyleJeTCR3fxQ0A2ICK3Zdtl3E5tYC9/dPxZGql+9awAL1sGAAMW3GMun06KZe67WNnVu/Vdoi7FaUDEmgdBDhZANBOup+45tQjPdcToS7438jW28xRG4RveAvj2T6+WDS04QIYZvV24X4+K4ANdLaEvZCSblEs3pGAz/fdqNdjuY7G3Avh8oM3YSyT4M1huu+ViUxCXezlMgn+97cuO1BQpsSRG9pyT5SPTnzqbmOCE4v6Uc8/r5cPPt51FRmFFfC2M8Org/yxNT4VZ5Lz2G1WHbmDxKxiSsdUXFGFonI6u5CcU4rrhK+GSASUV6mQX6orBzwoKNcbGppdXEHdl1lYgVIiSAG0Qtvfz9ynOkt+OJaEsatOUtst2XNdzw/mkzHBVDvtiimd0dnDSk/Dcvx2Njad1rVxrz2eRH1+c7p7U7+9AR0c4WNnpjcXR8YJPpj2clEt9L4X7+ejUqVGNy9r7FrQ4+EPEGg2mO+Gg4WcXWzmPmLpq3+AA76eXH8dZWtBmG3UQtkYdw9vbb/caM8/uKMj9iVkwMvWFDKJGLcy236rYEujf4ADnu/XTu/i2RA4K4yxaGgAXvz9AiRiEfa82BP/XsvAZ3t1AZKRVIxKzure39ECliZSNvB4c2gATIwk+N/fWh3J8E7OiPSxxbuECHfJ2GC8ue0yRCLgj3lRcLc2xcCvjqKovAoLh/jj1J0cHLul7UaqVKkpG3W+gX7cGTHGMjElIBaLtBd3MjNhZiTRGyIql9LbGEnFUFeLZt8dEYiEtAJsi09lX+PLCaF4fqNWeDs61IXyjXmhXzscuJrBXmBmRXuhZ3s7NosV5WOLESHOVHmI0dKQmMulCHSxZAPMRUMD0N3XDiO/PW5wvwHARWGMtDqKT4cFO+HLCaHo8L+9dXqcQOPSs70djt3Kho+dGRIbuClhaJATvmvF3afCbKM2wNQIDyyb2HhOiPsStLqH5JxStK9eUdqaGbGiSoHGp6OLJSzr0b5oLpfyrsBJ061pER54ItQVgzs6QqXW4IlvT+DL/bReo7JKjf6cTqPPxneiBLdZRRX4nAh4dl16QAUuANhy0axoL3T1tMZb2y+jqLwKIW4KPN3TBx9Xl4EqqrSBy9gwV7wyUFs+YgKXDU9FsAJzjUZb5mTmgDGBy0ejg9A/wAFqjfa5zOVS/PlMFGQS3fTzJ0JdsHCIP/t6gNaR193GBJVValSpNejoYomZUZ6Y18uXfQ/GMgmGd3LGjGphLRO4MF4w3xy6TZVh159MxlO/nGVvn7uXBydLui33G04XYZCrJYorqqjM2DcHb+m1Xff20/8NZhVXUOWn2mRgdl9Ox9jvGj4wFqg7jF1AqLsVTtzOBoAGD1xGh7q06sClrgjBSwtmbJgbfpzRtdFfZ/fldABapT5zTpSKRYiJ1HVIjOjkDBfBM6FBWXHoNkZ8c+zhGxKYGUlQWR0EcFtryXbmnRcfoEqlxjvVJoZlShVUao2eMHR2d9o9dtqPcUjOKWVv/3g8CUUVVQh1t0Kwq87ULcrHVk/Qu3BwALacTcGh65kwkojxxYQQSCVieNjSXW8L+rXHpG7u1H3d29lRRnhTwz0wmNMFNaGrG+b28mFvO1rK0dXLhgoAZ0Z76bUp92pvh2HBOvHw4I5OkIhFVDdTQZkS5+7m6WnO/nw2mmolf6a3L2ZWBzhMdsjX3gyVVWo2C8Ow4tBt6vZLhEcNoLU1KKlU4acTtI6GHHRqIpOgg7MllCoNCsuq6tyBxFjbfzkhBKumtfyhsG0JxriwZ3s7nLurzWReuJ/Pq1N7VF4a0B7LH4NSEYkQvLRwBgQ6YsszTTcL6fANrUdHlVpD+V6MDnXFyTf74+Sifvh26uP1I2lorn4wmPXlKVfWXpTJlFgqVWo4Wsqh5pwFVWoN+vjbQ2Eiw42MImw6cx9u1rRYlOsEO31tHHW7uEKrE1k5lb7QrZjcmXquAYGOuHAvn9rmTlYx3tupLS+9MsgP7R21AsST1StN9rkO3sL7O+l25u3nU/Av0QX1/bFE/Bp7l9pm9ZFEfEHoglLyyrD3ygPkE105S/dcx/J/6QzTTyeS8fd5enTAzyeTcfB6JmQSETq6WEKjAV754wKOc/b136sZlPg1t6RCr4Pjj3n075OxPfiP8LsBQGVqAO1viuTK+4P1usfKlCoUlSvhZm3C6tcsjKV1nmDsZm2iVyIUaFhcrUzYgY5DOjohvvr3cexWdg2PenQ+HB2Elwb4PXzDNoageWkl3EgvwuDl/zXrPnw4OgjBrgoEOFmguKIK3ZceQkWVGrOivbD+ZHKz7ltrwdJYin9f7Y3wjw/W6XFiEd1ZZGcuR3Z1KYFsj776wWBsOZuCxTsSoDCRYWJXN70OGfLxDLsX9KQ6YLY/F40xhBbnyR7eWHciqVarxigfW2x4KgJisQhF5UoMWX4MqfllCHS2xPX0QvY5pGIROrkp2JM8oL3IllaqKNFioLMlrhIiXjMjCWzN5biXq8sQdXC2RHJ2CTVqoIunNbviBbQaFLFIRAl7Xx3ohxnRXhj29TE9EbAhuPqTxSMDqbbWNTFd8P6OBHabb6d2xse7rj3UMO3z8Z2w7MBNdrtBgY6Iv5eH7OJKdPawQlJ2CfJLtYEM11fmYZC6IS9bU9zNLa1zAPS4Y2duhA7OlujsYc226I/p7Ip9CekorVQhxE2BiykFD3mWhmXDUxHo3q71T4hmEDQvbRB/JwscW9i3Wffh3b+uYPTKE+i4eB8mrjnFagrWn0xmOyiGBztjQHWraM/2dnqdMI8rkT42sDOXo7C8qs6BC6DfEp1dXAGFiQzOCjqzkphVgmkRHgh0tkRBmZINXEhnWjtzI7w8UNdpZCwT45PdtEHbGI6IeO1xbeAyMsSFcv6M8rHF+tndqG2XTQphZ6i8v/MqUvPL4G5jgi3PRFFlq+mRnvjlyQjqsT/O7IqlY+lW6Z0v9IAnUXpaNDSAmjUEaEcHkO+ps4eVXkbk68md8d10OqP0TB9fKExkevqy8+8OZFfR2n31wOzuXgDABiU929ux75F6zt/OUcHNuhPJ6EFcYJ7r40u1fjO8/uclKsDZfzUDAwMdIRGLcP5ePsI8rCEV6xvi1WbiAJnh2/NiL4zopO8rI8BPlI8tzr4zAGffGYhfn4ygfkvbz6eyJolNHbgcfq1Pmwpc6ooQvLQi3G1MceF/A5t7N7QW/lm02IwRee66/IBN/x+7lU3NcmGMxQCtuJOhbw0i4RA3Bdo7mMPBQm5wSnFrYO3MbqxItaHwtDXF6aRciEU6/cviHQkQi0RUacPVygRu1rqLf3ZxJXXBLVeqcfx2NkxkEgwkjpHCRIa4t/pTr7l0bDAcLHW6i4nd3GBM+MUwjwOAvy+k4s9zKRCLgC8nhMJYJsF94sKbWVSO9AL6QpyWX4bbxBwlkUhbyiJLHin5ZXoGbhmF5dSFP7ekUm+bSyn5ehd+ZggjNzisVKkph2pbMzle5JhI/jSrG4wIj5gfZ3RFkKslm9GQiEWQS8U4dzcPW87pSrA/nUiigvpBgY7U/Ke5PXWGldviU9ny0uEbmWzARFJXDUVuaSXuCN2FALQzrRhe6Kf9zRhJxFhMeKQMC3bC76fv4ZXNF/DEt8cxex2/A3VTcnHxoMd+9ptQNmqFVKnUaPf2nubeDYE6sGhoAA5ey6C8TxqKxSMDMSTICf2/PIrSShUWjwzEn+dSkJBWWOPjevvZQ6XWsDqPt4YFQKPR+pwA2inf48Jc8R4R6LzQrx1WHr7NXjAtjKUQASgs13mqzIr2wuzuXhi+4jiKK6qwoH97vDLQDysP3663l01j0dXTGmtndcPwFceowMbUSEKNHZBJROjsYU11Cj3Xxxe/xt5lHa2nRnigg5MF3q1uKw/3tsGc7l545jfd3KNoX1u9aepcwr1s8NtTEZj361kcvpEFR0s5gl2tKE0QA19bdW2xkEvxfL92emaEbYFgVwVrHhjpY4PYRO1x87Q1xV1CkN4aSVoyDKLatJu1QoSyURtHKhEjeenwGjMWAs3PkI5OrHhz6Z7r9QpcjHgGspFD2rxsTTEr2gvOChM2s/P+zqtISCvUc1l9hzM1eVZ3L1xJ06W6t5xNwRf7dcHF5dQCKnABtC3Dao3W78XN2gRF5VUoLK+Cl60p29q8/mQyen9+BMUVVejmZY0F/doh/l4ellVb638+vhPmc0Sv/73elxIED+7oqFcaWjGlMzsqANAGGP++0pv6jCZ2dWP3g+GPeVFUS7inrSn+faUXzOVSnL2bh5D39yMlrwyuVib4+/nuAMAGLmM7u2JIRycoVRo2cBlZXfpadeQOG7gAWm8mJnABtGaBh6/Tot03h9LHgC8bdzo5F5/tvY4VUzqjvYM5Mgq1Bnxc8TUAPR+bujCpmzvmEd1bbQnS9ZgJXAC06sBlZIgLkpcOb7OBS10RgpdWzLrZ4U3SSi1QPwYEOmIipyW4rlRWqfWmK5O3lSoNq2fgtj1/Np620L/EqcnPXneGGgZ4K7MYSpUGQzo6sRdoQJtBuPi/QdRjv5wQgkBn3cpoTGc3DAlyxmTi/YpFwPLJnVGqVGHBpvNsq/b4Lm5UmQTQCnXJ2UrdvGyo5weACG8bavSBuVwKX3szSIiTeY/29ggiWroBoL2DOToS9ylMZGjnYIFPONqazyd0Qoi7FSREqXNIkBPe5disr5gcSnm6LJ8UypYcGCZ21Y4TYEYoMJBmdABQUkG7AL8/qiMAbYv6gasZWDuzG6xNZbj2oJDKDPnwlAzq2k104FqGXkeXQMtk49wIPd+gxx0heGnlDAh0xKX3Bj18Q4Em570dCZhUjxklpka0hqSMY3Ofml8GGzMjyKVipOaXsa3B3DbflzZfoG7vuKhtF57BmXB8iDPh+PUh/sgk7Oot5FKs/u8Otc2Kg7dw6Home3tD3F3kl1aiB6HJkErEcFEY461tl5GSpxXtfjQmCBmFFXhty0Xq+UatPE6Vub7cfxPjVtOi4cnfx7Kt2IBWrzLuu5NUh9Hb2y9j8vex1ONGrzqB1Ud0+38ppQBbz6Ug0oczA8rRAnuvPICKEJG8/dcV1oSP4at/b1GvueXcfXR0oQMmboZlz4u0Jw4TmK35L5G6f+fFNDYbsmjbZeSUVGDVNH3jMa7BGdcgrzaL87s5paxz8oL+7YWFUAvl6geDEe37+ApzDSEEL20AS2MZkpcOp2aoCDQPHZwtcf3DIbAwlqK4ouqhuhM+Sjk29yWVKr2L069PhrOmYz8cS8TWcymYvyEefHA7aULcrKjbX/17i7rd/8ujiCO0HQevZ+K76os/02m06sgdVKk1GBionc2TWVSBKT/E4S3iQl9ZpcbIb4/jn0sPIBWLsGJyZ5jIJHhhUzxySioR6GzJltWupGo/p/l92yHa1xZlShUrCv9mSmfIpWIkZZewzr2MeJZps35tkB86uSlQVF6FlLwyyKVifFf9+dzNKUWlSo2+/vZ4udoP4+2/LmPMSjo4mv5jHN7YqnML9nM0R1ZRBevX8kT1BOwVB29RYuATt3PwzG/nqOfiTqP+/r9Eqtw3IsSZMv2b3M0dFtVlrIzCcvQPcEBllRpzfzmrZ0bIZHUY5FKx3mykuioZR4e6oLxK9fANBZqMUdVlIlMjoWOTDyF4aUNsejoS/7wgDGJrTrKKynE/t5TSQtQHrn6hkDPA8N+rmejfwREjQ1yg1gCvbrmIoooqhHvb4Lk+Ott7mUSEVUforMmrnKzHzuqMzLzetP7hywkhGEK43A4LdsKBV3pR2yybGMIOgbv2oBCF5VUIcbdigwsmKHlzWAd09rDGF/tu4ExyHizkUqyaFoYp4R7U883t5YM5nPLXyBAX2BAT0WOivPT2leusqzCRYWiwM5WBGN/FHfP7aYOjcqWa9XVZOTUMRlIxrqcXoaBMiY4ulnhrWAe9ydLLOVOqv5sWpmfYuPnpSOp2Ny9rSMQibD+fSulTPtt7g9JlHL+djQ9Gd4RELMJfF9LQztEcgc6WyC6uxNCvaRfmP86mULc7cMpr8jpqXwBg7HcnMX/jeQBAvwAHvYBJoGk5+GpvrBDKRDUiBC9tjCBXBZKWDIOjpTA1uin5cUZX+NqbIbu4EgO/qp+ZoBlRLuLqF5hszOCO2lbmFYdu4eL9fL0J5GM6u1LBilKlwe3MYjhayuFjr9NJRPva6glbJ3ejA4l2DuZIeKC7wKYXlGM5J0vzW+w9BLnSF8/5fdvpBSXTIz1w4GoGWyb5bHwneNqaYvEOek7S/I3x1HRrQOt8S7ZBf7HvBtXBAwDzfj3HdkkB2pLS8xvjqQzE4h0JyCmuwEyiTR/QBmVuhHfN0CAniERacTLJysP07TX/JSKnmJ4AbGlCX/Sf6e2LcWE6J92+/vaULggAbMyMkJJXht9i7+HtYdpy05qjiRjDmWz925MRerOoAK3lPEl9uo9I7dPKqWGY0MWthq0FGosAJwskLRkGX3vzh2/8mCO0Srdhrj0o1Fu1CTQOp97sh23xqQ3eChzhbcOWcMQi4M4nwzB/03nsuvQAnram8LYzw5EbWXqPmxnliZ9P6cSYH48JwspDt1nztCgfW9zLLa21qywXpuVXIhZhZCdnagKzq5UJLIyl1CDDSB8bJKQWoqiiCrO7e2HxyI745VQy/vd3AkQi4OUBfmw3EqAVpEb62mJj3D32vold3XD2bh7lMfTaID98QQyc9He0QKi7FSWUndfLB0dvZuF6ehH8HM1RWFZFlVmifGwRm5TDBjpmRhKEe9vg8I0smMuliPSxpdqUnSyNUVxRxY5SqAmpWIQqQkNjZiTBjGgvtgwHaLuhnvz5DIrKqzCmsytszIyw9ri+K/LYMFdUVKmx69IDAFpzQUBnQMedvl1fVk/vgterM3kCTceR1/rA6zH3bhFapQUAVFumLx2OsZwVnEDDEOJuxTq/Ri05hG8O3XrIIx5OJzda+ElqT9Qa4FRiDj4eHQRHSznu5pTiyI0svZborp7Weh1Kb2+/Qrm+nkrMQWp+GbztzBDB6eDhlh7/eaEHZSrYyU2BDU9FYFSIC1RqDRu4PNvHFy4KY6Tml+F6ehEs5FLW7Cs2MRdFFVXo6mmNN4d2wMk72axR3htDArCgf3uqy2d2D2+9IYmLhnbA0z3pctH8frRx3OzuXniDk416to8vVk0Lg4lMgpsZxUgvLIeHjSneGhbAfhYaDTCpqzsifWxQUqliZ3x9MaGTXobqp1nd8Ok4upPr7DsDqNv/GxGIbl7WVODi72iBkkoVFbgAwCe7r+GriaFsecnUSIIBHfQzLNviU9nABdAGLWSwouK41XlxBmLWlmd+O4eiCm35L+H9wWy2T6BxmBXtheSlwx/7wKWuCMHLY8CySaG4/uGQ5t6NNkXP9nbY/HQk1sToOkEaYtXLbWcGtCWXKeHaUsPrWy5BJBLBiRgLEOVrC2tCo3D2bh6+rM5iPEvoXwBg23PR1O1FQwNgbarTkyhMZNQcIQA4ciMT/1zSZVbu5ZYivbAcT/WktSmvDvRDGNECHeBsgemRdGfT833bIaOwHM9viIdKrcHoUBfM6+WDnRfTqIvvVwduYva609RjY9bGUT40ADDjJ3qbpXuvI4YzbPLF3y/A09aMcgbu0d4Os6Lp/Z/dwwuvDfKn7uvfwRG7Lj+g7ntvZwL+PEe3QB+6lkndvpxaQE2yBoDvZ9BdQ3893x1WpjJcuJ+PLefus23S3xy6rSf0Jv1tJGIRYt+knY/DPKygVNHBSzLH08SE44T8MDq6WMJMLsWyiaF1epxA7bn50VC8V33cBeqGUDZ6zLidWYQByxpnwGOPdnaI8LaBWCzCt4duU+2kbY3RoS74fEIIPvznKn459WheGdzSQjsHc9wm7Nu/mdIZ/QIcMPTrY9QwwofxZA9vWJnI2EAG0B/IWBd87M0AjbZN19PWFBVKNVV+aedgjsSsYtZ9VywCPG3NkES09SpMZDCSipFVVIFObgr8MS8KCWmFmPpDLCqq1Jjd3QtxiblUAPXeyEDKLM/f0QK9/e3xPdFmPKe7N87ezaWCv49GB+GjXVdRrlTDydKY2lexCHC0NKa0NEy2ivx8OrpY4nZmMSqq1Bga5IT/bmahpFp/JJOI4GNnjhsZuvJYXejrb4+5vXww66czqFRpB5wqTGT4+uDDM3gBThZUWU4kojuMQtytcJGjhakPT/XwRkWVWvCDaWAOv9bnsbf350MoGwkYpJ2DBZKXDmfbSBuS47ez8eWBm/h83402G7i8PawDxCLgrwtpaP/2nkcOXABQgQsAKnABgDe3XUZGYbleZwu3K4drSpdVVMEGLkxpibkwf/AEvdp7f1RHTI3QiWytTGW49gGdrVsxuTPWze4GUyMJ7uZosy9u1iZ4r7o0dDtTG7hM7uaOSV3dodaADVyWTQyBh40pCsqUyCrSDpX8PqYr0gvKMfeXs6ioUmNABwe8MzyQmq8EQC97MyzYGdMj6PtmRntSs7MAYEq4Bz4fr20TZwKX5/r4YlyYG9QasIHLFxNC4GplguziCmQXV8DCWIpPxmgN7BLSClFRpW2z/nZqGCYTQmRzuRQ7OSW2DU9F6Imof+d0ID3f1xfGMjEO38jC9vhUfFHdyr7+ZLLePCbuMe1T7arNBC4zojyhMJHptUY3ROACaM3ymMDllznh7LEWqB8bnopA8tLhQuDSAAjBy2PK0GBnJC8drjfBV6BmBnV0RIR34/jpkNOaAeD6h0MQ7m2D4ooqPLchHufu0uMF1p+kRZ0L/7xE3WZM6Rb0a4fFo+iLDtc74nJqAfYnpLO3SytUGL3yBLXNB/9chaOlMVV+iPSxxeAgJ2q78V3cEOlLG8D18XeANdHubGWqzcDMXn8GuSWVCHZVYMWUzohLzNHr6uHO8frq35vo9flh6r7enx+hhLsA8P7OBGoCMAB08bRmAwCGXu3t4Oeo6+4wl0sxNozWiQ0IdMSdrGL8cUZXLsorVeIJzmf01vbLlC4FAE5xZhlJxGJ8MyUMYhGw5VwKrj8oZNuy159MprblHtP7nMxbZw8r+DtZsLetG7HF2cpUhnWc/ROoHaunhyF56fDHegp0QyOUjQQAAJvP3GMNugRopkV44EZ6Ec5ygodHxc3aRG/KMcnamV0R7KrAsBXHkM1pySUZFeLCBiqANpNAOtguHRuMN7dfrpVxmb+jBWRSEevPAmgHPy7bf7PRuk9crUyw/flo5JcqMe67kygqr8LIEBf09rOn3sfXk0Ox+/ID7EvQdf789Xx3KsgaFKj1vlnw+/k6G7XVlnBvG0R421Ct1FMjPHDkeiYlig5ytaQ+R5K3h3WAubGUde99ZSDdbTUl3AOHrmcgo1CbKTOSiGEkFdeqw4lELKKnTluZyqi26PrgrDDGPy/0QJeP/n2k53kcWD09DEOCnB++oQAAoWwkUA8mdfNA8tLh2DQ38uEbP2ak5JXpGZY11PNyGd/FDdOqyzcv/n4B+WVKRHGswUPdrajbBznThrnW+4u2aQOXmEhPVhTKwBV+vjrID1086LlDk7t5YAWnZLVqWhg1/wgADrxMG9iFe9tg70u0Lf6SscH4eEwQdd+62d1QXqnG9B/jUFRehS6e1vh8fCe2FZiB21UFaCesk1SqtNqURZxOpWML+8LDRtd9425jojcW4fm+vvh6cih1329PRugNQF0zvQuGd6IvSIMCHRHpS2fk1s7sRt3+eU44Xh+sFQR/vPsaAODN6hITGbgAwKbT99jABdBqWsqJUqyxTAx3G12mjhwqyRDobAlORfKRAxcAcFIY6xnlCdD8+UwUkpcOFwKXRkTwHRagiPK1RfLS4cgsKkf4xwebe3ealT/mRSFmbRyO3szC0Zv6XiqNgVQswuKRHXEnqxixibkYxGN4xzUlK6lU6Qk4OzhboounFX6L1fmkjOjkjDnrz1CPjVxCH+Onf6Vt7gHghU3xesMO0/LL9MTD5OsDQGGZkp3EzHApJR+FZXT24MiNTPxy6i4yiyrg52iOH2d0xfFb2Xjp9wvUds/yjD8Yv5qeHXXkRhZe3HwBZZwRC3uvpFMuxbnFlVQbOoDqSdx0R875e3l6+q24pFy8tyOBum/WOvpzBYCIT+jP9oWN8djwVCQKy5VYczQRb22/jE/HdkKUjy1OJWpLSxZyKYZ3csbvRHkq0NlSrwOsXKnG/Vxd8JuaX6ZXwuI+hpt14WZlasv5e/k4Xz2W4cPRQSgsUza4v1FrJf7dgZQbtEDjIZSNBGpErdZg2YGb+JajQ3gcGBfmhp2X0uo8rbc+dPawwoX7+dBotCWFMWGu6Eqk5YcFO2H3ZZ0mhVsqspBLa13WifKxRYCzBdadSGbv272gJ4at0BkaPtXDG4ODnDD9xzjKsdXMSMJ22wDaMQZGErqcYWYkgVKlQSWRFbE1M0JOia70JRWL4KQwprJPnram2DIvCjcyivDk+rOoVKkxOtQFn40Pgd87Ot3LrGgvTAn3wODlusDunxd6IL2gHE/9cla3bxIxnK2McZdoGVaYyCARi5BL7IuduREKypRUqzG3K0skAmRiMfWe2jmYY9PcSER88i8bBAS5WuLd4YGYRAyHXD+7G749dBtn7+bBwliK9bPD8df51Fp38HTzssaZZF3J8qke3viRMLHrF+BADclcMaUzFmw6X6vnflRGhbhg9+UHqFJr9ALox4Vn+/ji9UH+EBM+RQL1QygbCTQYYrEIrw32R/LS4TixqB9lJNYW8XM0Z0sHW+NTGi1w4XpurJwahneGa0tTH+++RgUuAKjABQAVuABgA5ee7ekSUx9/e2oAIAB8MjYYx2/RE6jnb6SzGodvZMLT1hQ+HJvyk5wy01M9vPHTLLo8snFuJKZF0uMBjrzeh7rtYWuKLc9EUffN7emD6+lFmPuLNnAZ0tEJn08IwVLC9h/QilrJwAXQlso6uSmo76e9hRx/zKNf48X+7fUM5n5/OgqDAmnR8bGFfanbPdrZ4SCnzPTaIH9cTy+kshc304v1pnmvPnoHK6eFIdzLBkXlVYhZG4dhwc7owRFvcj15QqoNC8nABQAVuACgAhcA+J4zAbwx2XExDVVqDTo4W+qNXWjLWMilOPVmPyQvHY43hgQIgUszIGReBOqMRqPBkZtZmM2TKm+txER6YueltAbRBNQHX3sz/DEvCm9vv4K9RNcP1/NlSrgHNp3WlYK4GZm6+Lg4Wsrhbm1KCZFnRXthf0I6JTxtDvr62+O76V3w/s6r7Pt9Z3gHbDmbQvmqrJ4ehnf/TkBWUf28axqKPv72UKk1OEYEhbOivfDnuRQUV2gnYX83vQsW/nkJx29n1/BMOnztzXCHGIUwKNAR+6/q9E3cjAwXK1MZunpa41+OgV5j82wfXz0X4bbCtueiEcbRhAk0HELmRaBREYlE6OvvgOSlw5G0ZJieALM1wUxv/jX2bpMHLsODnXFiUT+4KIxxJ6sEXT76F0du0hcarucLGbgA+hkZJnDhep5E+9rCh+MtsXFupF59PszTGj/PCafue7aPLzslmuGv57tDwRlC+O8r+oJd7nN9Nq4T5ScDQC+jAQArp4XhzW2Xsen0PYhFWr+TIUFOet02Go22LEPy5tAAPa+VXQt6wFlhTN13+LU+1O2untb4hbO/Hz7RETEcn5m/OMJYAPhuWhe9kQy+9mbYODcC1qYyXEwpQMzaOCweGUgJhwHg6V70yIPw6nENZOACgApcAP2MDJf8UiU1B4qPurru1gbGPFAqFrWJ6dRrZ3ZF0pJhSF46XAhcWhBC5kWgQTlwNQNzCd1BS6chWkcfhad6eGNyuAcGLDvK3ieXih86GdjeQk5lG+zMjWpsp64JsQgQi0R6ZnktAYlYhK8mhcLL1hRz1p9FdnEF7C3kcLSUG2xDbm7IAYmzor0wqZs75qw/Q7n51gU+PZO5XEoFcj72ZlSgwnXcHdvZFdvOp9br9euLp60pMgrLG2RsRlPz85xw9GpvB5FIKAc1JULmRaDZGBjoiOSlw5G8dDiOv9EX7Rxa9mj35ghcvp4cig+rHW5/PJ5EBS4AHhq4ANArkzCBi6Mlvfqf3M2duu1rbwZfezoDs+GpSNz8aCjCvWhjOcZlloQZZsjQ289eb3DfKwP9YGpEr+g/4+hMjKRivbbtEZ2c9dx1V00Lg7FUjElrYpFdXIEAJwv8/Xx3/P18Dz0DOu4ARQBYPimUuh3gZKGX6Zjb01svK8XdNwB67fLhXjZ67eJfTw7FtQ+GsC3R608mY8me63oZHQDUsEtA+1nywSfE5maguBkW7pK0qQMXALibU8oGLrYtvAMn1N0KsW/2Z89dvf3shcClhSNkXgSaBJVagz1XHmD+xqbpgiAZGOiIRUMDIBOL8dLm84ivbvNsSjq5KaDWaNhswTvDO+DE7Wx2ejEf9W1lrSsjOjkj2tcOH/yT0KJXyb387LFyamdYGMuw90o6XvnjAkorW9YYio4ulvhuWhd42Jpi75UHeGnzhRb1mYpFwNxePlhzNPHhG7dx1s3uht7t7QWxbQtCyLwItDgkYhFGdHJhVza3Px6KZdUzXRqbA1cz0P/Lo+j1+eFmCVwAYOHgAOx4vgdmd/cCAHy061qNgQtQ+8DFXK5v18R0qjBwMwSAziDtn0sP8Nb2yyhXqtGzvR1rksfQx99ezyDuhX7t9J6Pm9GwMpXpddSM7Uzb7gPa1nAuTOaCwdPWFGtndoVMIsZ7OxLwzG/nUFqpQo92dnr6Fm87M70sBjOVu6bXAPSzIV62pnoZHnLCM8NbwwJgY2aEhLRCjPjmGHZdeoAhQc749ckIvW25n8kYns+E29XHHR1RX9Qa4If/Hs/AZfX0MNz+eCh7Durr7yAELq0YIfMi0CJQqzU4fz8Pa48n6YlQWzM2ZkbILamEWKTtaJLLJNQ05OaET1vT0cUSiVklLXKwZm8/e9zNKUFytW/LUz280cXTGv/b0fzdRh2cLfHqQD+sOnKbDZC97cyQX1qJvGbUVD2udPOyxlvDOqCzILBtVdTl+i0ELwItFo1Gg/xSJfZcScdvsXf1HENbAwFOFsgpqWz2iyuDj50Zwjyt8ee5mu3d2zmYo6+/PX44RnuKuFqZIDVfZyxnIpPoBTp8LbyRPjaITaQdbbmznbgiVEDbGl5RpcK2eFqz8cWEEBy+noldl7VDENs7mOPZPr545Q96NELP9nZU+zKgHQ1AutMaSWjzOQAIdlXgcmoBdV9nDyvWWZZh4RB//PBfIvJKlZCIRZjT3QsVVWq9aeOLRwbi/Z1XIdCwRPvaYmCgI7p52cDfyQIynhESAq0HIXgRgpc2S5VKjStphdgYd1eYryIAiViE8WFuALSmgk3dMSWXijGhqxvu5ZbhvyYaIfG44mlrinm9fNG/gwMcLY0f/gCBVocQvAjBy2NHRZUKCWmF+PNcCjbG3Xv4AwTaJD72ZnCzNm30QCLcywb380rr3f4sUDMzozwxOMgJoe5WMDUSRvA9LgjBixC8CBBkFpXj2oMi7EtIx59nU/RKBAICAk3PhC5uGNzRCZ09rGBjZiS0JgsIwYsQvAjUliqVGg8KynEppQAXU/KRlF2ConIljKQSqNRqnLid09y7KCDQ6ujkpkBffwe0czBHpI8tbM2MhM4egYdSl+u3kI8TeKyRSsRwtzGFu40phndyNridRqNBbkklUvPLcDWtEBdT8nEltVBP1Ckg0FbxczRHJzcrBDhZoKOLAl52prA3l0MqiGQFmgEheBEQqAUikQi25nLYmsvRyc0Kk8M9HvqYKpUaeaVKlCtVyCquQEGZEmq1BjczinEvtxTZxRVQqzVIzS/Dg4JyFJQJLbUCDYuduRHkUgnaO5rDydIYcqkY5sZSeNuZw8PGFGZyCaxNjWBhLIVMIoZxI8w6EhBoDITgRUCgkZBKxLC30Nr1uxPD+Pp3cDT0kHpTpVKjqLwKKo0GYpEIRlIx8ksrUVxRBRFEUKrUUKk1qFJrUFGlgkqtbUNXazQwM5KiUqVGbol2e5lEDBszGXKKK5FfqkRxRRVszYxgYiRBekE58kqVEIu085VUag2yiipQWF4FUyMJnK2MYWNqhIoqNfJKKyGCdjifWATczy1DWkEZKqrUMDWSwNHCGMWVVcguqoBKrYGZXAonS2NkVwd6GgDWpjJYmxohraAM5Uo11BoNXBQmEItFyC+tRGGZEsYyCewt5BCLRMgs0s7SsTCWwspUa0mfXlAGkUgEUyMJvGzN4GAph5mRFI6WxnC1MkF7R3NIxSLczytDUnYxckuUyC+tRLlShdT8MhSUKSGXSmBlKoOjpTFS8kqh1mhbrN2steZxzGdpY2YEW3MjqNRAfmklzORSKExkMDGSQKPRoEqlgblcCiOpGGKxCCYyCWQSMUTV86WkYhHszOUQiQClSg2RSLsN17ROQOBxRwheBATaAFKJGNac+TF8zrsChvG2M4M3Z8ZRcyJkQQQEDCMUKwUEBAQEBARaFULwIiAgICAgINCqaNTgJS8vDzExMVAoFFAoFIiJiUF+fn6tHz9v3jyIRCIsX7680fZRQEBAQEBAoHXRqMHL1KlTceHCBezduxd79+7FhQsXEBMTU6vH/vXXX4iLi4OLi/40XAEBAQEBAYHHl0ZT9F27dg179+5FbGwsIiK0Y+F/+OEHREVF4caNG/D31x9Hz5Camor58+dj3759GD58eGPtooCAgICAgEArpNEyL6dOnYJCoWADFwCIjIyEQqHAyZMnDT5OrVYjJiYGr7/+Ojp27PjQ16moqEBhYSH1T0BAQEBAQKDt0mjBS3p6OhwcHPTud3BwQHp6usHHffrpp5BKpViwYEGtXmfJkiWspkahUMDd3b3e+ywgICAgICDQ8qlz8PLee+9BJBLV+O/s2bMAwDtoS6PRGBzAde7cOXz99ddYv359rYd0vfnmmygoKGD/3b9/v65vSUBAQEBAQKAVUWfNy/z58zF58uQat/Hy8sKlS5eQkZGh97esrCw4OvI7jB47dgyZmZnw8NBZr6tUKrz66qtYvnw5kpOT9R4jl8shl8vr9iYEBAQEBAQEWi11Dl7s7OxgZ2f30O2ioqJQUFCA06dPIzw8HAAQFxeHgoICREdH8z4mJiYGAwYMoO4bPHgwYmJiMHv27LruqoCAgICAgEAbpNG6jTp06IAhQ4Zg7ty5WLNmDQDg6aefxogRI6hOo4CAACxZsgRjxoyBra0tbG1tqeeRyWRwcnKqsTtJQEBAQEBA4PGhUX1eNmzYgODgYAwaNAiDBg1Cp06d8Ouvv1Lb3LhxAwUFBY25GwICAgICAgJtCJFGo9E09040JIWFhVAoFCgoKIClpWVz746AgICAgIBALajL9bvNjZ1lYjHB70VAQEBAQKD1wFy3a5NTaXPBS1FREQAIfi8CAgICAgKtkKKiIigUihq3aXNlI7VajbS0NFhYWNTaK6alUlhYCHd3d9y/f18ogTUzwrFoGQjHoeUgHIuWQ1s5FhqNBkVFRXBxcYFYXLMkt81lXsRiMdzc3Jp7NxoUS0vLVv2FbEsIx6JlIByHloNwLFoObeFYPCzjwtCo3UYCAgICAgICAg2NELwICAgICAgItCqE4KUFI5fLsXjxYmH8QQtAOBYtA+E4tByEY9FyeByPRZsT7AoICAgICAi0bYTMi4CAgICAgECrQgheBAQEBAQEBFoVQvAiICAgICAg0KoQghcBAQEBAQGBVoUQvLQw8vLyEBMTA4VCAYVCgZiYGOTn59f68fPmzYNIJMLy5csbbR8fF+p6LJRKJd544w0EBwfDzMwMLi4umDFjBtLS0ppup9sAq1atgre3N4yNjdGlSxccO3asxu2PHj2KLl26wNjYGD4+Pli9enUT7Wnbpy7HYtu2bRg4cCDs7e1haWmJqKgo7Nu3rwn3tu1S198Ew4kTJyCVShEaGtq4O9gMCMFLC2Pq1Km4cOEC9u7di7179+LChQuIiYmp1WP/+usvxMXFwcXFpZH38vGgrseitLQU8fHxePfddxEfH49t27bh5s2bGDVqVBPudetm8+bNeOmll/D222/j/Pnz6NmzJ4YOHYp79+7xbp+UlIRhw4ahZ8+eOH/+PN566y0sWLAAW7dubeI9b3vU9Vj8999/GDhwIHbv3o1z586hb9++GDlyJM6fP9/Ee962qOtxYCgoKMCMGTPQv3//JtrTJkYj0GK4evWqBoAmNjaWve/UqVMaAJrr16/X+NiUlBSNq6ur5sqVKxpPT0/NV1991ch727Z5lGNBcvr0aQ0Azd27dxtjN9sc4eHhmmeeeYa6LyAgQLNo0SLe7RcuXKgJCAig7ps3b54mMjKy0fbxcaGux4KPwMBAzfvvv9/Qu/ZYUd/jMGnSJM0777yjWbx4sSYkJKQR97B5EDIvLYhTp05BoVAgIiKCvS8yMhIKhQInT540+Di1Wo2YmBi8/vrr6NixY1PsapunvseCS0FBAUQiEaysrBphL9sWlZWVOHfuHAYNGkTdP2jQIIOf+alTp/S2Hzx4MM6ePQulUtlo+9rWqc+x4KJWq1FUVAQbG5vG2MXHgvoeh3Xr1uHOnTtYvHhxY+9is9HmBjO2ZtLT0+Hg4KB3v4ODA9LT0w0+7tNPP4VUKsWCBQsac/ceK+p7LEjKy8uxaNEiTJ06tdUPS2sKsrOzoVKp4OjoSN3v6Oho8DNPT0/n3b6qqgrZ2dlwdnZutP1ty9TnWHD58ssvUVJSgokTJzbGLj4W1Oc43Lp1C4sWLcKxY8cglbbdS7yQeWkC3nvvPYhEohr/nT17FgAgEon0Hq/RaHjvB4Bz587h66+/xvr16w1uI6CjMY8FiVKpxOTJk6FWq7Fq1aoGfx9tGe7n+7DPnG97vvsF6k5djwXDpk2b8N5772Hz5s28iwCBulHb46BSqTB16lS8//778PPza6rdaxbabljWgpg/fz4mT55c4zZeXl64dOkSMjIy9P6WlZWlF3kzHDt2DJmZmfDw8GDvU6lUePXVV7F8+XIkJyc/0r63NRrzWDAolUpMnDgRSUlJOHTokJB1qSV2dnaQSCR6K8rMzEyDn7mTkxPv9lKpFLa2to22r22d+hwLhs2bN+PJJ5/Eli1bMGDAgMbczTZPXY9DUVERzp49i/Pnz2P+/PkAtOU7jUYDqVSK/fv3o1+/fk2y742NELw0AXZ2drCzs3vodlFRUSgoKMDp06cRHh4OAIiLi0NBQQGio6N5HxMTE6N3ghg8eDBiYmIwe/bsR9/5NkZjHgtAF7jcunULhw8fFi6gdcDIyAhdunTBgQMHMGbMGPb+AwcO4IknnuB9TFRUFHbu3Endt3//fnTt2hUymaxR97ctU59jAWgzLnPmzMGmTZswfPjwptjVNk1dj4OlpSUuX75M3bdq1SocOnQIf/75J7y9vRt9n5uMZhQLC/AwZMgQTadOnTSnTp3SnDp1ShMcHKwZMWIEtY2/v79m27ZtBp9D6DZqGOp6LJRKpWbUqFEaNzc3zYULFzQPHjxg/1VUVDTHW2h1/P777xqZTKZZu3at5urVq5qXXnpJY2ZmpklOTtZoNBrNokWLNDExMez2iYmJGlNTU83LL7+suXr1qmbt2rUamUym+fPPP5vrLbQZ6nosNm7cqJFKpZqVK1dS3/38/PzmegttgroeBy5ttdtICF5aGDk5OZpp06ZpLCwsNBYWFppp06Zp8vLyqG0AaNatW2fwOYTgpWGo67FISkrSAOD9d/jw4Sbf/9bKypUrNZ6enhojIyNNWFiY5ujRo+zfZs6cqenduze1/ZEjRzSdO3fWGBkZaby8vDTfffddE+9x26Uux6J379683/2ZM2c2/Y63Mer6myBpq8GLSKOpVrcJCAgICAgICLQChG4jAQEBAQEBgVaFELwICAgICAgItCqE4EVAQEBAQECgVSEELwICAgICAgKtCiF4ERAQEBAQEGhVCMGLgICAgICAQKtCCF4EBAQEBAQEWhVC8CIgICAgICDQqhCCFwEBAQEBAYFWhRC8CAgICAgICLQqhOBFQEBAQEBAoFUhBC8CAgICAgICrYr/AzlSmNP96X8xAAAAAElFTkSuQmCC\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Y\n",
-    "plt.plot(result_np[:,0], result_np[:,2])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
\ No newline at end of file
diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 3c59ee3b..19d1b6c8 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -96,7 +96,7 @@ def get_coeffs(self):
         return {name: param.item() for name, param in self.named_parameters()}
     
 
-    def fit(self, x, optim, optim_params=None, max_epochs=10, batch_size=128):
+    def fit(self, x, optim, optim_params=None, max_epochs=10, scheduler=None, scheduler_params=None):
         """Fits model to the given data.
 
         Args:
@@ -105,19 +105,28 @@ def fit(self, x, optim, optim_params=None, max_epochs=10, batch_size=128):
             batch_size (int): Batch size for torch.utils.data.DataLoader
         """
         dataset = TensorDataset(x)
-        loader = DataLoader(dataset, batch_size=batch_size, shuffle=True)
+        n = dataset.__len__()
+        loader = DataLoader(dataset, batch_size=n)
 
         if optim_params is not None:
             optimizer = optim(self.parameters(), **optim_params)
         else:
             optimizer = optim(self.parameters())
 
+        if scheduler is not None:
+            if scheduler_params is not None:
+                lr_scheduler = scheduler(optimizer, **scheduler_params)
+            else:
+                lr_scheduler = scheduler(optimizer)
+
         for epoch in range(max_epochs):
             for i, data in enumerate(loader, 0):
                 self.zero_grad()
-                loss = self._step(data, i, batch_size)
+                loss = self._step(data, i, n)
                 loss.backward(retain_graph=True)
                 optimizer.step()
+            if scheduler is not None:
+                lr_scheduler.step()
             
             print("Epoch: " + str(epoch) + "\t Loss: " + str(loss))
 

From d8e2e04459369ac31fe271728e7e7c20d1c7f216 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 14:50:26 -0400
Subject: [PATCH 16/73] Improved the prediction of Lorenz63: random sample

---
 examples/ode/lorenz63/Lorenz63Train.ipynb     | 345 --------
 examples/ode/lorenz63/Lorenz63Train_fit.ipynb | 735 ++++++++++++++++++
 .../Lorenz63Train_fitRandomSample.ipynb       | 400 ++++++++++
 torchts/nn/models/ode.py                      |  58 ++
 4 files changed, 1193 insertions(+), 345 deletions(-)
 delete mode 100644 examples/ode/lorenz63/Lorenz63Train.ipynb
 create mode 100644 examples/ode/lorenz63/Lorenz63Train_fit.ipynb
 create mode 100644 examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb

diff --git a/examples/ode/lorenz63/Lorenz63Train.ipynb b/examples/ode/lorenz63/Lorenz63Train.ipynb
deleted file mode 100644
index 543db5b6..00000000
--- a/examples/ode/lorenz63/Lorenz63Train.ipynb
+++ /dev/null
@@ -1,345 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Lorenz 63 equations\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"sigma\"]*(prev_val[\"y\"]-prev_val[\"x\"])\n",
-    "\n",
-    "def y_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x\"]*(coeffs[\"rho\"]-prev_val[\"z\"])-prev_val[\"y\"]\n",
-    "\n",
-    "def z_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x\"]*prev_val[\"y\"]-coeffs[\"beta\"]*prev_val[\"z\"]\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
-    "\n",
-    "# Initial conditions [1,0,0]\n",
-    "ode_init = {\"x\":1, \"y\":0, \"z\":0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"sigma\": 10., \"rho\": 28., \"beta\": 2.7}\n"
-   ]
-  },
-  {
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 9.1793e-01,  2.6634e-01,  1.2636e-03],\n",
-       "        [ 8.6792e-01,  5.1173e-01,  4.6540e-03],\n",
-       "        ...,\n",
-       "        [-5.6997e+00, -5.8341e+00,  2.3410e+01],\n",
-       "        [-5.7226e+00, -6.0452e+00,  2.3121e+01],\n",
-       "        [-5.7641e+00, -6.2715e+00,  2.2854e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 5
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stderr",
-     "text": [
-      "<ipython-input-6-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:23:26.565709</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m59eced051a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#m59eced051a\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#m59eced051a\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#m59eced051a\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#m59eced051a\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#m59eced051a\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#m59eced051a\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#m59eced051a\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mfe041fef49\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mfe041fef49\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mfe041fef49\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mfe041fef49\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mfe041fef49\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mfe041fef49\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mfe041fef49\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pe3b36f8b83)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe3b36f8b83\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:23:26.803656</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#p3433ca7166)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p3433ca7166\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,0], result_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"sigma\": 1., \"rho\": 1., \"beta\": 1.} # Start with arbitrary values\n",
-    "\n",
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(226.2282, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 1\t Loss: tensor(251.8655, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 2\t Loss: tensor(226.3150, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 3\t Loss: tensor(228.0103, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 4\t Loss: tensor(249.7751, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 5\t Loss: tensor(238.6514, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 6\t Loss: tensor(226.3311, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 7\t Loss: tensor(250.5593, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 8\t Loss: tensor(247.9563, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 9\t Loss: tensor(232.6432, grad_fn=<MseLossBackward>)\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver.fit(result,torch.optim.Adam, {\"lr\": 0.001})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'sigma': Parameter containing:\n",
-       " tensor(9.9730, requires_grad=True),\n",
-       " 'rho': Parameter containing:\n",
-       " tensor(27.9205, requires_grad=True),\n",
-       " 'beta': Parameter containing:\n",
-       " tensor(2.7759, requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 9
-    }
-   ],
-   "source": [
-    "ode_solver.coeffs\n",
-    "\n",
-    "# The coefficients differ by at most 0.1 from the original"
-   ]
-  },
-  {
-   "source": [
-    "# Re-calculate using 4th Order Runge-Kutta"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "results_test = ode_solver(10000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 9.0027e-01,  2.7921e-01,  0.0000e+00],\n",
-       "        [ 8.3833e-01,  5.2777e-01,  2.5136e-03],\n",
-       "        ...,\n",
-       "        [ 7.9433e-01, -1.1557e+01,  3.3041e+01],\n",
-       "        [-4.3750e-01, -1.1482e+01,  3.2032e+01],\n",
-       "        [-1.5390e+00, -1.1350e+01,  3.1193e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 11
-    }
-   ],
-   "source": [
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stderr",
-     "text": [
-      "<ipython-input-12-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:26:20.206402</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mb24ac46c13\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"45.049139\" xlink:href=\"#mb24ac46c13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(34.496795 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"122.886214\" xlink:href=\"#mb24ac46c13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −10 -->\n      <g transform=\"translate(112.333871 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"200.72329\" xlink:href=\"#mb24ac46c13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(197.54204 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"278.560366\" xlink:href=\"#mb24ac46c13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 10 -->\n      <g transform=\"translate(272.197866 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"356.397441\" xlink:href=\"#mb24ac46c13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 20 -->\n      <g transform=\"translate(350.034941 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_6\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m5581784fd9\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5581784fd9\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5581784fd9\" y=\"216.311763\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.110982)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5581784fd9\" y=\"171.407526\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.206745)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5581784fd9\" y=\"126.50329\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 130.302508)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5581784fd9\" y=\"81.599053\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 85.398271)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5581784fd9\" y=\"36.694816\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 40.494035)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p7da65669b6)\" d=\"M 208.506997 261.216 \nL 206.968083 261.158587 \nL 207.10164 261.125079 \nL 210.826133 260.687782 \nL 214.561913 260.146638 \nL 217.919225 259.52932 \nL 222.137095 258.570839 \nL 227.404399 257.083132 \nL 230.501981 256.056032 \nL 233.951507 254.778629 \nL 237.787888 253.191637 \nL 242.047903 251.222761 \nL 246.769517 248.784405 \nL 251.990789 245.771321 \nL 257.748244 242.058406 \nL 264.074499 237.499053 \nL 270.994942 231.924672 \nL 278.523153 225.146337 \nL 286.65479 216.959905 \nL 295.359663 207.156451 \nL 304.571802 195.540265 \nL 314.177641 181.95682 \nL 324.002781 166.332709 \nL 333.798667 148.727807 \nL 343.231554 129.396232 \nL 351.877532 108.846742 \nL 359.228679 87.884865 \nL 364.716207 67.611375 \nL 367.755293 49.349244 \nL 367.812273 34.481568 \nL 364.487828 24.211375 \nL 357.600106 19.296 \nL 347.244732 19.844165 \nL 333.808569 25.263424 \nL 317.925894 34.394772 \nL 300.384886 45.78865 \nL 282.011108 58.015815 \nL 263.560834 69.90503 \nL 245.649019 80.65379 \nL 228.71981 89.822395 \nL 213.052797 97.258956 \nL 198.790873 103.004449 \nL 185.975971 107.209511 \nL 174.583274 110.074849 \nL 164.549188 111.814737 \nL 155.791804 112.637883 \nL 148.224481 112.739188 \nL 141.763878 112.29745 \nL 136.33392 111.475674 \nL 131.866893 110.421963 \nL 128.302688 109.270048 \nL 125.586984 108.139152 \nL 123.668871 107.133216 \nL 122.498445 106.339652 \nL 122.02459 105.828179 \nL 122.193281 105.649929 \nL 122.946535 105.837224 \nL 124.22202 106.404231 \nL 125.953396 107.348449 \nL 128.071235 108.653023 \nL 133.181728 112.222028 \nL 138.994538 116.805602 \nL 145.003592 122.061702 \nL 150.796214 127.681181 \nL 153.513054 130.548583 \nL 156.072049 133.421749 \nL 158.452819 136.28158 \nL 160.64087 139.112736 \nL 162.626844 141.90308 \nL 164.405747 144.643106 \nL 165.97615 147.325389 \nL 167.339454 149.94412 \nL 168.499191 152.494676 \nL 169.460396 154.973287 \nL 170.229077 157.376725 \nL 170.811746 159.702087 \nL 171.215036 161.946587 \nL 171.445391 164.10741 \nL 171.50881 166.181566 \nL 171.410667 168.165791 \nL 171.155568 170.056411 \nL 170.747254 171.849265 \nL 170.188543 173.539589 \nL 169.481307 175.12191 \nL 168.626471 176.589935 \nL 167.624038 177.936442 \nL 166.473128 179.153141 \nL 165.172066 180.23055 \nL 163.718463 181.157861 \nL 162.109327 181.922784 \nL 160.341228 182.511434 \nL 158.410455 182.908165 \nL 156.313245 183.095503 \nL 154.046049 183.054057 \nL 151.605839 182.762486 \nL 148.990499 182.197569 \nL 146.199268 181.334391 \nL 143.233292 180.146649 \nL 140.096248 178.607177 \nL 136.795059 176.688721 \nL 133.340732 174.365021 \nL 129.74924 171.612277 \nL 126.042518 168.411019 \nL 122.249459 164.748443 \nL 118.406872 160.621176 \nL 114.560381 156.038423 \nL 110.765028 151.025367 \nL 107.085565 145.626466 \nL 103.596193 139.908423 \nL 100.379591 133.962163 \nL 97.525074 127.903309 \nL 95.125735 121.870553 \nL 93.274527 116.02134 \nL 92.059414 110.524655 \nL 91.557767 105.551108 \nL 91.830515 101.261015 \nL 92.916592 97.791739 \nL 94.828402 95.245988 \nL 97.548969 93.683031 \nL 101.031363 93.114157 \nL 105.200567 93.503393 \nL 109.957727 94.773262 \nL 115.186344 96.814529 \nL 120.759616 99.498276 \nL 126.54804 102.688185 \nL 132.426478 106.251435 \nL 138.28001 110.067055 \nL 144.00817 114.031137 \nL 149.527495 118.059207 \nL 154.772465 122.086121 \nL 159.695145 126.064386 \nL 164.263862 129.961552 \nL 168.461255 133.757181 \nL 172.282036 137.440013 \nL 175.730666 141.00536 \nL 178.819142 144.453028 \nL 181.564977 147.785678 \nL 183.989459 151.007595 \nL 186.116185 154.123856 \nL 187.969865 157.139763 \nL 189.575396 160.060481 \nL 190.957141 162.890866 \nL 192.138421 165.635363 \nL 193.141146 168.29798 \nL 194.690288 173.391563 \nL 195.745465 178.196092 \nL 196.419241 182.731464 \nL 196.797911 187.01432 \nL 196.944867 191.05895 \nL 196.904258 194.877927 \nL 196.704393 198.48236 \nL 196.36058 201.882014 \nL 195.877327 205.085241 \nL 195.24987 208.098763 \nL 194.465073 210.92729 \nL 193.501777 213.572927 \nL 192.330625 216.034311 \nL 190.913421 218.305285 \nL 189.202062 220.373009 \nL 187.137067 222.215161 \nL 185.949818 223.041121 \nL 184.645765 223.795898 \nL 183.213426 224.47194 \nL 181.640227 225.059982 \nL 179.912445 225.548715 \nL 178.015151 225.924393 \nL 175.932174 226.170357 \nL 173.646085 226.266497 \nL 171.13822 226.188617 \nL 168.388753 225.90772 \nL 165.376844 225.389194 \nL 162.080877 224.591941 \nL 158.478848 223.467451 \nL 154.548921 221.958868 \nL 150.270219 220.000162 \nL 145.62392 217.515516 \nL 140.59474 214.419139 \nL 135.172884 210.615771 \nL 129.356586 206.002326 \nL 123.15528 200.471116 \nL 116.593545 193.91535 \nL 109.71577 186.237603 \nL 102.591488 177.361949 \nL 95.321089 167.250214 \nL 88.041404 155.922319 \nL 80.930373 143.479621 \nL 74.209448 130.128582 \nL 68.142263 116.200191 \nL 63.02751 102.158212 \nL 59.184574 88.58848 \nL 56.930721 76.161876 \nL 56.550732 65.568276 \nL 58.261747 57.426968 \nL 62.178928 52.189128 \nL 68.28939 50.056731 \nL 76.441499 50.942658 \nL 86.354329 54.487441 \nL 97.646768 60.129523 \nL 109.880593 67.208367 \nL 122.608048 75.07 \nL 147.947413 91.013879 \nL 159.934742 98.375824 \nL 171.184763 105.073278 \nL 181.580389 111.043083 \nL 191.066605 116.289744 \nL 199.636416 120.858716 \nL 214.160282 128.234947 \nL 225.596739 133.736018 \nL 238.212005 139.497946 \nL 246.978214 143.203372 \nL 251.401738 144.838855 \nL 255.061482 145.926722 \nL 258.187748 146.527851 \nL 260.944625 146.683063 \nL 263.441448 146.424063 \nL 265.742801 145.781454 \nL 267.877105 144.790824 \nL 269.843928 143.497281 \nL 271.620689 141.958614 \nL 273.169041 140.246724 \nL 274.441401 138.447079 \nL 275.387716 136.655862 \nL 275.962458 134.974728 \nL 276.131379 133.503706 \nL 276.057519 132.875777 \nL 275.877419 132.332974 \nL 275.592334 131.883725 \nL 275.205025 131.534915 \nL 274.719746 131.291777 \nL 274.142205 131.157772 \nL 273.479476 131.134596 \nL 271.932831 131.418682 \nL 270.158327 132.123805 \nL 268.245529 133.207252 \nL 266.288282 134.609679 \nL 264.378142 136.26153 \nL 262.598994 138.088771 \nL 261.023236 140.017325 \nL 259.709696 141.976069 \nL 258.703076 143.898354 \nL 258.034505 145.722503 \nL 257.722816 147.391612 \nL 257.776055 148.852999 \nL 258.192867 150.057698 \nL 258.534876 150.549438 \nL 258.963498 150.960223 \nL 259.476283 151.284949 \nL 260.070282 151.518777 \nL 260.742033 151.657209 \nL 262.302196 151.631849 \nL 264.117613 151.181948 \nL 266.138677 150.291132 \nL 268.303986 148.957541 \nL 270.539363 147.198484 \nL 272.757711 145.055159 \nL 274.860192 142.596624 \nL 276.739444 139.921784 \nL 278.285079 137.157999 \nL 279.391562 134.455187 \nL 279.750893 133.177079 \nL 279.968124 131.974948 \nL 280.035949 130.86835 \nL 279.949254 129.875535 \nL 279.705382 129.012957 \nL 279.304289 128.294764 \nL 278.74866 127.73239 \nL 278.043932 127.33429 \nL 277.198208 127.105712 \nL 276.22209 127.04867 \nL 275.128441 127.162017 \nL 273.932079 127.441641 \nL 272.649363 127.880733 \nL 269.895689 129.198967 \nL 267.013655 131.02363 \nL 264.147862 133.245023 \nL 261.430357 135.748892 \nL 258.97317 138.425273 \nL 256.864647 141.173624 \nL 255.169184 143.904632 \nL 253.929318 146.539731 \nL 253.169224 149.009306 \nL 252.898607 151.250261 \nL 252.946824 152.26651 \nL 253.116275 153.203747 \nL 253.405562 154.054952 \nL 253.812891 154.81316 \nL 254.336094 155.471442 \nL 254.972642 156.022878 \nL 255.719616 156.460591 \nL 256.573683 156.777754 \nL 257.53104 156.967653 \nL 258.58735 157.023753 \nL 259.737644 156.939809 \nL 260.976237 156.709998 \nL 262.296598 156.329061 \nL 263.691258 155.792528 \nL 265.151646 155.096937 \nL 266.668012 154.240114 \nL 268.229265 153.221459 \nL 269.822906 152.0423 \nL 271.434933 150.706208 \nL 273.049796 149.219358 \nL 274.650392 147.590872 \nL 276.218126 145.8331 \nL 277.733021 143.961888 \nL 279.173939 141.996676 \nL 280.518837 139.96054 \nL 281.745174 137.880055 \nL 282.830368 135.784958 \nL 283.752372 133.707642 \nL 284.490297 131.682418 \nL 285.025103 129.744588 \nL 285.340311 127.929381 \nL 285.422715 126.270755 \nL 285.263007 124.800187 \nL 284.856324 123.545452 \nL 284.202651 122.529589 \nL 283.307051 121.770045 \nL 282.179672 121.278108 \nL 280.835552 121.058653 \nL 279.29423 121.11023 \nL 277.579125 121.425466 \nL 275.716798 121.991754 \nL 273.736116 122.7921 \nL 271.667314 123.806164 \nL 269.541109 125.011275 \nL 267.387832 126.383425 \nL 265.236678 127.898196 \nL 261.048104 131.260241 \nL 257.165302 134.918611 \nL 253.733805 138.719808 \nL 250.853871 142.538452 \nL 249.640851 144.422186 \nL 248.585509 146.274427 \nL 247.690415 148.085669 \nL 246.956713 149.847261 \nL 246.384405 151.551177 \nL 245.972608 153.189872 \nL 245.71978 154.756101 \nL 245.623918 156.242805 \nL 245.682727 157.642945 \nL 245.893756 158.949412 \nL 246.254486 160.154933 \nL 246.762413 161.251965 \nL 247.415065 162.232635 \nL 248.210018 163.088687 \nL 249.144857 163.811419 \nL 250.217127 164.391685 \nL 251.424245 164.819882 \nL 252.763384 165.085982 \nL 254.231328 165.179578 \nL 255.824304 165.090007 \nL 257.537776 164.806495 \nL 259.366217 164.318361 \nL 261.302854 163.615311 \nL 263.339395 162.687803 \nL 265.465741 161.527477 \nL 267.669666 160.127714 \nL 269.936531 158.484291 \nL 272.248997 156.596078 \nL 274.586753 154.465883 \nL 276.926366 152.101277 \nL 279.241118 149.515486 \nL 281.501072 146.728191 \nL 283.673197 143.766216 \nL 285.721733 140.66401 \nL 287.608758 137.463754 \nL 289.295002 134.215124 \nL 290.74087 130.974477 \nL 291.90777 127.803504 \nL 292.759551 124.767255 \nL 293.26416 121.931697 \nL 293.395252 119.360809 \nL 293.133788 117.113524 \nL 292.469396 115.240693 \nL 291.401379 113.782449 \nL 289.939299 112.766167 \nL 288.102974 112.205292 \nL 285.921957 112.099106 \nL 283.434432 112.433561 \nL 280.685642 113.182913 \nL 277.725999 114.312028 \nL 274.608986 115.779076 \nL 271.389014 117.538304 \nL 268.119477 119.542648 \nL 264.85098 121.745952 \nL 261.629961 124.104691 \nL 258.497682 126.579174 \nL 255.489607 129.134252 \nL 252.635149 131.739536 \nL 249.957714 134.369342 \nL 247.475018 137.002334 \nL 245.199556 139.621048 \nL 243.139213 142.211345 \nL 241.297934 144.761823 \nL 239.676408 147.263294 \nL 238.272741 149.708297 \nL 237.083066 152.090657 \nL 236.102134 154.405132 \nL 235.323801 156.647098 \nL 234.741457 158.812298 \nL 234.348396 160.896637 \nL 234.138091 162.896005 \nL 234.104446 164.806118 \nL 234.241948 166.622413 \nL 234.545814 168.339888 \nL 235.012056 169.953017 \nL 235.637532 171.455643 \nL 236.419955 172.840846 \nL 237.357867 174.100849 \nL 238.450599 175.226906 \nL 239.698188 176.209186 \nL 241.101269 177.036666 \nL 242.660952 177.697038 \nL 244.378655 178.17659 \nL 246.255904 178.460171 \nL 248.294096 178.531139 \nL 250.494217 178.371371 \nL 252.856507 177.961357 \nL 255.380071 177.280344 \nL 258.062427 176.30668 \nL 260.898969 175.018208 \nL 263.882396 173.392968 \nL 267.00203 171.410044 \nL 270.243114 169.050741 \nL 273.586035 166.300034 \nL 277.005563 163.148375 \nL 280.470097 159.593793 \nL 283.94103 155.644237 \nL 287.372265 151.320116 \nL 290.710005 146.656752 \nL 293.892958 141.706587 \nL 296.853061 136.540768 \nL 299.516804 131.249647 \nL 301.807327 125.941858 \nL 303.647237 120.741609 \nL 304.962206 115.78389 \nL 305.685077 111.207715 \nL 305.760325 107.147776 \nL 305.148393 103.725195 \nL 303.829489 101.038484 \nL 301.806325 99.155941 \nL 299.105377 98.110589 \nL 295.776412 97.898507 \nL 291.890199 98.480863 \nL 287.534623 99.789188 \nL 282.809606 101.733107 \nL 277.821394 104.209175 \nL 272.676851 107.10968 \nL 267.478298 110.3302 \nL 262.319276 113.775306 \nL 257.28156 117.362229 \nL 252.43334 121.022483 \nL 247.828592 124.701923 \nL 243.50737 128.359634 \nL 239.496802 131.966161 \nL 235.812558 135.501429 \nL 232.460551 138.952745 \nL 229.438721 142.312898 \nL 226.738759 145.578614 \nL 224.347702 148.749304 \nL 222.249334 151.826073 \nL 220.42539 154.811027 \nL 218.856541 157.706779 \nL 217.523201 160.516111 \nL 216.406146 163.241766 \nL 215.486979 165.886311 \nL 214.748471 168.452087 \nL 214.174793 170.941164 \nL 213.75166 173.355334 \nL 213.466404 175.696112 \nL 213.308006 177.96474 \nL 213.335826 182.289178 \nL 213.778805 186.333092 \nL 214.604161 190.096129 \nL 215.800494 193.572116 \nL 216.539571 195.198576 \nL 217.37583 196.747482 \nL 218.313059 198.215575 \nL 219.356098 199.59877 \nL 220.510815 200.892012 \nL 221.784088 202.089132 \nL 223.183792 203.182635 \nL 224.718779 204.163493 \nL 226.398856 205.020886 \nL 228.234757 205.741918 \nL 230.238092 206.31128 \nL 232.421272 206.710893 \nL 234.797394 206.919488 \nL 237.380095 206.912195 \nL 240.183315 206.660065 \nL 243.22099 206.129634 \nL 246.506638 205.282515 \nL 250.05279 204.075066 \nL 253.870264 202.458232 \nL 257.967211 200.377649 \nL 262.347926 197.774158 \nL 267.011346 194.584899 \nL 271.949244 190.745225 \nL 277.144041 186.191679 \nL 282.566305 180.866333 \nL 288.171957 174.722748 \nL 293.899297 167.733731 \nL 299.66612 159.900876 \nL 305.367211 151.26549 \nL 310.872755 141.920107 \nL 316.028292 132.018929 \nL 320.656972 121.785059 \nL 324.564867 111.511475 \nL 327.549942 101.552852 \nL 329.414779 92.305725 \nL 329.982677 84.176665 \nL 329.115597 77.540758 \nL 326.731572 72.69647 \nL 322.818644 69.825668 \nL 317.442255 68.968212 \nL 310.743927 70.018034 \nL 302.930668 72.742549 \nL 294.256646 76.820543 \nL 285.000169 81.889451 \nL 275.440078 87.590921 \nL 265.83513 93.606376 \nL 247.341402 105.616577 \nL 230.772273 116.645184 \nL 216.698127 126.258148 \nL 205.174488 134.492316 \nL 195.950128 141.558904 \nL 188.633034 147.683252 \nL 182.796807 153.043329 \nL 178.038513 157.75839 \nL 170.397634 165.484802 \nL 166.974663 168.51962 \nL 165.269309 169.820939 \nL 163.539803 170.970687 \nL 161.76787 171.961455 \nL 159.937347 172.78443 \nL 158.034029 173.429411 \nL 156.04559 173.884802 \nL 153.961537 174.13766 \nL 151.77323 174.173752 \nL 149.473948 173.977653 \nL 147.059047 173.532917 \nL 144.526166 172.822355 \nL 141.875503 171.828409 \nL 139.110175 170.533677 \nL 136.236625 168.921618 \nL 133.265105 166.977425 \nL 130.210178 164.689175 \nL 127.09125 162.049151 \nL 123.933105 159.055452 \nL 120.766349 155.713723 \nL 117.627749 152.039063 \nL 114.560389 148.057902 \nL 111.613543 143.809708 \nL 108.842202 139.348319 \nL 106.306122 134.742579 \nL 104.068392 130.076063 \nL 102.193401 125.445536 \nL 100.744303 120.958033 \nL 99.779966 116.726481 \nL 99.351629 112.863977 \nL 99.499498 109.47718 \nL 100.249552 106.659445 \nL 101.610945 104.484362 \nL 103.574339 103.000681 \nL 106.111369 102.229283 \nL 109.175478 102.162649 \nL 112.703992 102.766827 \nL 116.621389 103.985685 \nL 120.843267 105.746711 \nL 125.280765 107.967513 \nL 129.844901 110.562169 \nL 134.450488 113.446778 \nL 139.019323 116.543742 \nL 143.482531 119.784535 \nL 147.781981 123.111131 \nL 151.870863 126.476259 \nL 155.713546 129.842835 \nL 159.284899 133.182783 \nL 162.569215 136.475658 \nL 165.558933 139.707176 \nL 168.253259 142.867828 \nL 170.656812 145.951689 \nL 172.778331 148.955391 \nL 174.629526 151.877342 \nL 176.224063 154.717088 \nL 177.576719 157.474861 \nL 178.702673 160.151251 \nL 179.616945 162.746977 \nL 180.333961 165.262717 \nL 180.867224 167.699009 \nL 181.229071 170.056172 \nL 181.430524 172.334238 \nL 181.481175 174.532943 \nL 181.389141 176.651636 \nL 181.161044 178.689271 \nL 180.802015 180.644341 \nL 180.31573 182.514835 \nL 179.704444 184.298155 \nL 178.96904 185.99104 \nL 178.109088 187.589463 \nL 177.122893 189.088518 \nL 176.00756 190.482307 \nL 174.759048 191.763756 \nL 173.372246 192.924467 \nL 171.84103 193.954513 \nL 170.158357 194.842212 \nL 168.316352 195.573894 \nL 166.306434 196.133643 \nL 164.11946 196.502996 \nL 161.74592 196.660682 \nL 159.17618 196.582332 \nL 156.400794 196.240215 \nL 153.410897 195.603062 \nL 150.198727 194.635941 \nL 146.758243 193.300333 \nL 143.085917 191.554411 \nL 139.181704 189.353642 \nL 135.050195 186.651866 \nL 130.701997 183.402936 \nL 126.155313 179.563086 \nL 121.437711 175.094246 \nL 116.588052 169.968297 \nL 111.658408 164.172443 \nL 106.715901 157.715549 \nL 101.844143 150.635146 \nL 97.144008 143.004548 \nL 92.733344 134.939141 \nL 88.745168 126.6005 \nL 85.323948 118.196732 \nL 82.619623 109.977535 \nL 80.779357 102.2225 \nL 79.937218 95.222606 \nL 80.202669 89.25573 \nL 81.649087 84.559203 \nL 84.303944 81.303721 \nL 88.142426 79.573665 \nL 93.085943 79.358175 \nL 99.006179 80.555209 \nL 105.734401 82.987938 \nL 113.074733 86.429739 \nL 120.819365 90.632539 \nL 128.763441 95.353134 \nL 136.717784 100.373325 \nL 144.518142 105.512275 \nL 152.030579 110.631098 \nL 159.153317 115.631453 \nL 165.815669 120.450252 \nL 171.975001 125.052557 \nL 177.612602 129.42429 \nL 182.729139 133.565664 \nL 187.340221 137.485809 \nL 191.472365 141.198719 \nL 195.159546 144.720395 \nL 198.440349 148.066964 \nL 201.355724 151.253516 \nL 203.947272 154.293533 \nL 206.255982 157.19862 \nL 210.180817 162.640987 \nL 213.419545 167.63748 \nL 220.055065 178.349634 \nL 222.609753 181.928599 \nL 223.940136 183.558156 \nL 225.326734 185.075146 \nL 226.784075 186.473658 \nL 228.325995 187.746456 \nL 229.965788 188.884856 \nL 231.716322 189.878514 \nL 233.590105 190.715274 \nL 235.599333 191.380944 \nL 237.755865 191.859074 \nL 240.071181 192.130736 \nL 242.556242 192.17431 \nL 245.221287 191.965303 \nL 248.075567 191.47621 \nL 251.12693 190.676484 \nL 254.381346 189.532625 \nL 257.842235 188.008471 \nL 261.509703 186.065768 \nL 265.379558 183.665113 \nL 269.442211 180.767375 \nL 273.681333 177.335689 \nL 278.072436 173.338179 \nL 282.581307 168.751469 \nL 287.162435 163.565001 \nL 291.757556 157.786114 \nL 296.294486 151.445667 \nL 300.68648 144.603717 \nL 304.83245 137.354613 \nL 308.618331 129.83051 \nL 311.919957 122.202182 \nL 314.607662 114.67581 \nL 316.552713 107.484852 \nL 317.63542 100.876558 \nL 317.754331 95.09362 \nL 316.83572 90.352847 \nL 314.842084 86.823788 \nL 311.778361 84.6109 \nL 307.69465 83.742806 \nL 302.684703 84.171097 \nL 296.880074 85.778951 \nL 290.440627 88.397759 \nL 283.542758 91.828477 \nL 276.366974 95.863493 \nL 269.086435 100.305491 \nL 261.857725 104.981 \nL 254.814503 109.747913 \nL 248.064161 114.497593 \nL 241.687124 119.152932 \nL 235.738219 123.663852 \nL 230.249411 128.001813 \nL 225.233273 132.154304 \nL 220.686706 136.119894 \nL 216.594522 139.904235 \nL 212.932703 143.516998 \nL 209.67119 146.96971 \nL 206.776203 150.274293 \nL 204.212076 153.442157 \nL 201.942679 156.483716 \nL 199.932463 159.408142 \nL 196.55449 164.935884 \nL 193.827738 170.074269 \nL 190.496934 177.119753 \nL 187.569318 183.418995 \nL 185.615908 187.21036 \nL 183.531403 190.665894 \nL 181.217666 193.765248 \nL 179.945784 195.17128 \nL 178.581984 196.474094 \nL 177.114771 197.66652 \nL 175.532475 198.739908 \nL 173.823176 199.683887 \nL 171.974658 200.486122 \nL 169.974382 201.132028 \nL 167.809512 201.604454 \nL 165.466975 201.883328 \nL 162.933579 201.945316 \nL 160.196206 201.763442 \nL 157.242086 201.306759 \nL 154.059177 200.540033 \nL 150.636695 199.423559 \nL 146.965764 197.913131 \nL 143.040306 195.960261 \nL 138.858104 193.5128 \nL 134.422147 190.516061 \nL 129.74224 186.914685 \nL 124.836877 182.655417 \nL 119.735418 177.691009 \nL 114.480412 171.985436 \nL 109.130056 165.520577 \nL 103.760489 158.304148 \nL 98.467721 150.378716 \nL 93.368682 141.830828 \nL 88.600989 132.799191 \nL 84.320705 123.479922 \nL 80.697665 114.126789 \nL 77.907841 105.044089 \nL 76.122684 96.570535 \nL 75.495935 89.05384 \nL 76.148976 82.817858 \nL 78.156515 78.12671 \nL 81.535023 75.152342 \nL 86.236116 73.952585 \nL 92.146725 74.465171 \nL 99.096586 76.519662 \nL 106.872157 79.864543 \nL 115.234802 84.203267 \nL 123.940179 89.231132 \nL 132.755997 94.666236 \nL 141.475876 100.270221 \nL 157.980285 111.297886 \nL 172.541407 121.436951 \nL 184.797835 130.417533 \nL 190.061496 134.483417 \nL 194.782638 138.291268 \nL 198.999575 141.863605 \nL 202.756477 145.222687 \nL 206.100546 148.389 \nL 209.079877 151.380523 \nL 214.13234 156.897045 \nL 218.26862 161.861128 \nL 226.524151 172.116007 \nL 229.595983 175.362419 \nL 231.172931 176.789435 \nL 232.801476 178.07735 \nL 234.497875 179.218156 \nL 236.277045 180.202329 \nL 238.152686 181.018752 \nL 240.137343 181.654586 \nL 242.242455 182.095176 \nL 244.478303 182.323994 \nL 246.853921 182.322546 \nL 249.37694 182.070398 \nL 252.053321 181.545247 \nL 254.887042 180.723095 \nL 257.879666 179.578563 \nL 261.029798 178.085427 \nL 264.332475 176.217374 \nL 267.778422 173.949072 \nL 271.353212 171.257557 \nL 275.036394 168.124098 \nL 278.800548 164.536413 \nL 282.610369 160.491376 \nL 286.421867 155.998049 \nL 290.181768 151.080927 \nL 293.827278 145.783185 \nL 297.286341 140.169478 \nL 300.478573 134.327914 \nL 303.317042 128.370554 \nL 305.711035 122.431882 \nL 307.5698 116.664763 \nL 308.807227 111.233581 \nL 309.347259 106.304845 \nL 309.129539 102.035736 \nL 308.114821 98.561886 \nL 306.289415 95.986124 \nL 303.668059 94.369671 \nL 300.294636 93.7275 \nL 296.240527 94.028621 \nL 291.60066 95.201228 \nL 286.487659 97.141824 \nL 281.024827 99.726648 \nL 275.33876 102.823526 \nL 269.552459 106.302618 \nL 263.779512 110.044649 \nL 258.119849 113.946345 \nL 252.65707 117.922967 \nL 247.45738 121.908538 \nL 242.569789 125.854394 \nL 238.027295 129.726748 \nL 233.848701 133.503852 \nL 230.040767 137.173219 \nL 226.600449 140.729103 \nL 223.517073 144.170415 \nL 220.774325 147.499066 \nL 218.351972 150.718764 \nL 216.227346 153.834126 \nL 214.376525 156.850084 \nL 212.77529 159.77153 \nL 211.399849 162.603114 \nL 210.227372 165.349101 \nL 209.236362 168.013363 \nL 208.406904 170.599377 \nL 207.161636 175.548814 \nL 206.3673 180.218731 \nL 205.927099 184.626564 \nL 205.769134 188.786917 \nL 205.843038 192.712222 \nL 206.116601 196.413082 \nL 206.572823 199.898298 \nL 207.207594 203.174716 \nL 208.028046 206.24683 \nL 209.051598 209.116099 \nL 210.305613 211.779963 \nL 211.827646 214.230349 \nL 213.666189 216.451515 \nL 214.722584 217.46838 \nL 215.881872 218.416928 \nL 217.153784 219.291415 \nL 218.549015 220.084769 \nL 220.079285 220.788316 \nL 221.757382 221.391497 \nL 223.597215 221.881489 \nL 225.613842 222.242795 \nL 227.823473 222.456757 \nL 230.243454 222.500981 \nL 232.892187 222.348716 \nL 235.789005 221.968126 \nL 238.953931 221.321518 \nL 242.407353 220.364517 \nL 246.169502 219.045267 \nL 250.259765 217.303683 \nL 254.695693 215.070912 \nL 259.491701 212.269146 \nL 264.657348 208.812023 \nL 270.195116 204.605976 \nL 276.097611 199.552927 \nL 282.344139 193.554858 \nL 288.896618 186.520884 \nL 295.694906 178.377426 \nL 302.651737 169.081857 \nL 309.647688 158.639768 \nL 316.526821 147.125075 \nL 323.094013 134.701014 \nL 329.115315 121.638481 \nL 334.322873 108.326464 \nL 338.425959 95.267845 \nL 341.129163 83.054144 \nL 342.157562 72.315577 \nL 341.286993 63.648407 \nL 338.375437 57.530208 \nL 333.38943 54.241357 \nL 326.419148 53.814368 \nL 317.677108 56.027941 \nL 307.479082 60.449795 \nL 296.210308 66.5164 \nL 284.284068 73.626591 \nL 260.016991 88.854914 \nL 237.232216 103.012021 \nL 226.892744 109.221109 \nL 208.740151 119.711529 \nL 193.976361 127.875303 \nL 169.238597 141.127572 \nL 157.636394 147.17046 \nL 153.343436 149.165057 \nL 149.639142 150.570242 \nL 147.936998 151.061373 \nL 146.305466 151.413995 \nL 144.72717 151.628946 \nL 143.188119 151.706586 \nL 141.677447 151.647094 \nL 140.187185 151.450721 \nL 138.712058 151.118021 \nL 137.249302 150.650108 \nL 135.798498 150.048876 \nL 134.361426 149.317254 \nL 132.941924 148.45942 \nL 130.180412 146.389478 \nL 127.580211 143.905591 \nL 125.230073 141.105894 \nL 123.233847 138.121617 \nL 121.700779 135.113666 \nL 121.140623 133.65699 \nL 120.733509 132.263086 \nL 120.489036 130.95518 \nL 120.41473 129.755568 \nL 120.515663 128.684959 \nL 120.794148 127.761845 \nL 121.24955 127.001915 \nL 121.87811 126.417616 \nL 122.672978 126.017802 \nL 123.624266 125.807562 \nL 124.719295 125.78818 \nL 125.942863 125.957283 \nL 127.277659 126.309125 \nL 128.704725 126.834962 \nL 130.203928 127.523529 \nL 133.33552 129.334411 \nL 136.507317 131.621393 \nL 139.565572 134.256184 \nL 142.378015 137.114404 \nL 144.839244 140.082734 \nL 146.871851 143.061701 \nL 148.424296 145.965341 \nL 149.466829 148.719028 \nL 149.792352 150.018677 \nL 149.986671 151.256454 \nL 150.05009 152.424873 \nL 149.983442 153.516611 \nL 149.788006 154.52444 \nL 149.46543 155.441157 \nL 149.01769 156.259541 \nL 148.447071 156.972329 \nL 147.756152 157.5722 \nL 146.947845 158.051769 \nL 146.025414 158.403611 \nL 144.992565 158.620318 \nL 143.853505 158.694557 \nL 142.613065 158.619187 \nL 141.276802 158.387381 \nL 139.851147 157.992817 \nL 138.343537 157.429896 \nL 136.76259 156.69399 \nL 135.118235 155.781762 \nL 133.421874 154.691505 \nL 131.686533 153.423529 \nL 129.926971 151.980591 \nL 128.159749 150.368309 \nL 126.403275 148.595592 \nL 124.677785 146.675055 \nL 123.005229 144.623322 \nL 121.409065 142.461257 \nL 119.913967 140.214084 \nL 118.54541 137.911231 \nL 117.329132 135.586067 \nL 116.290488 133.275283 \nL 115.453702 131.018106 \nL 114.841057 128.855167 \nL 114.472016 126.827245 \nL 114.36237 124.973795 \nL 114.523444 123.331426 \nL 114.961408 121.932434 \nL 115.676774 120.803473 \nL 116.664094 119.964499 \nL 117.911928 119.42806 \nL 119.40307 119.199011 \nL 121.11505 119.274647 \nL 123.02084 119.645263 \nL 125.089805 120.295023 \nL 127.288734 121.203115 \nL 129.582939 122.345009 \nL 131.937375 123.693768 \nL 134.317644 125.221267 \nL 136.690898 126.8993 \nL 139.026587 128.700453 \nL 141.297001 130.59879 \nL 143.477658 132.570297 \nL 145.547484 134.593157 \nL 147.488861 136.64782 \nL 149.287528 138.716965 \nL 150.93238 140.785373 \nL 152.415186 142.839693 \nL 153.730262 144.868241 \nL 154.874125 146.860723 \nL 155.845121 148.807982 \nL 156.643081 150.701763 \nL 157.268991 152.534485 \nL 157.724696 154.299066 \nL 158.012624 155.988705 \nL 158.13557 157.596746 \nL 158.096502 159.116537 \nL 157.898416 160.541283 \nL 157.544222 161.863963 \nL 157.036673 163.077201 \nL 156.378324 164.173214 \nL 155.571523 165.1437 \nL 154.618439 165.979805 \nL 153.52112 166.672064 \nL 152.281577 167.210387 \nL 150.901912 167.584035 \nL 149.384455 167.781668 \nL 147.731957 167.791398 \nL 145.947798 167.600934 \nL 144.036233 167.197737 \nL 142.00268 166.569269 \nL 139.854024 165.703342 \nL 137.598961 164.588555 \nL 135.248348 163.214864 \nL 132.81559 161.574224 \nL 130.317019 159.661429 \nL 127.772232 157.475023 \nL 125.204426 155.018312 \nL 122.64062 152.300486 \nL 120.111808 149.337681 \nL 117.652921 146.154058 \nL 115.302604 142.7826 \nL 113.102762 139.265703 \nL 111.097807 135.655236 \nL 109.333598 132.012085 \nL 107.856055 128.404941 \nL 106.709509 124.908369 \nL 105.934766 121.600051 \nL 105.567069 118.55743 \nL 105.634055 115.853899 \nL 106.153859 113.554814 \nL 107.133563 111.713844 \nL 108.568163 110.369872 \nL 110.440192 109.544979 \nL 112.720034 109.243686 \nL 115.367022 109.453507 \nL 118.331171 110.146725 \nL 121.555419 111.283205 \nL 124.978221 112.81377 \nL 128.53619 114.683861 \nL 132.166661 116.836967 \nL 135.809951 119.217588 \nL 139.411194 121.773599 \nL 142.921666 124.457835 \nL 146.299639 127.228968 \nL 149.510722 130.051842 \nL 152.527824 132.897309 \nL 155.33078 135.741732 \nL 157.905742 138.566318 \nL 160.244423 141.35638 \nL 162.343266 144.100578 \nL 164.202588 146.790208 \nL 165.825757 149.41861 \nL 167.218428 151.980608 \nL 168.387848 154.472092 \nL 169.342264 156.889645 \nL 170.090398 159.230286 \nL 170.641036 161.491214 \nL 171.002674 163.669655 \nL 171.183258 165.762696 \nL 171.189976 167.767151 \nL 171.02911 169.679474 \nL 170.705936 171.495641 \nL 170.224677 173.211051 \nL 169.588463 174.820412 \nL 168.799348 176.317651 \nL 167.858334 177.695779 \nL 166.765432 178.946789 \nL 165.519724 180.061498 \nL 164.119475 181.029449 \nL 162.562245 181.838729 \nL 160.845032 182.475865 \nL 158.964458 182.925662 \nL 156.916975 183.171104 \nL 154.699128 183.19327 \nL 152.307851 182.971279 \nL 149.740843 182.482348 \nL 146.997016 181.701915 \nL 144.076993 180.603907 \nL 140.983737 179.161217 \nL 137.723246 177.346395 \nL 134.305337 175.132633 \nL 130.744561 172.495145 \nL 127.061156 169.412904 \nL 123.282045 165.870861 \nL 119.441841 161.862618 \nL 115.583763 157.393487 \nL 111.76035 152.48385 \nL 108.033854 147.172576 \nL 104.476152 141.520096 \nL 101.168008 135.610767 \nL 98.19746 129.553841 \nL 95.657253 123.482449 \nL 93.641192 117.550072 \nL 92.239521 111.924093 \nL 91.533456 106.77656 \nL 91.589308 102.27257 \nL 92.452758 98.55762 \nL 94.143945 95.745402 \nL 96.654067 93.907943 \nL 99.944143 93.069791 \nL 103.9462 93.207222 \nL 108.566945 94.252762 \nL 113.693531 96.104096 \nL 119.200694 98.635714 \nL 124.958423 101.711438 \nL 130.839288 105.19596 \nL 136.724703 108.963925 \nL 142.509646 112.906099 \nL 148.105659 116.932396 \nL 153.442201 120.972413 \nL 158.466608 124.974087 \nL 163.14297 128.901195 \nL 167.450322 132.730424 \nL 171.380431 136.448388 \nL 174.935455 140.048954 \nL 178.125692 143.531001 \nL 180.96748 146.896635 \nL 183.48138 150.14989 \nL 185.690622 153.295768 \nL 187.619844 156.339613 \nL 189.294087 159.286702 \nL 190.738028 162.142036 \nL 191.975409 164.910198 \nL 193.028642 167.595349 \nL 193.918551 170.201208 \nL 195.282918 175.188056 \nL 196.199566 179.893525 \nL 196.771707 184.336311 \nL 197.077437 188.532226 \nL 197.173337 192.495023 \nL 197.098123 196.236883 \nL 196.713875 201.458792 \nL 196.290768 204.692935 \nL 195.732809 207.738266 \nL 195.029577 210.600478 \nL 194.162956 213.283026 \nL 193.107088 215.786428 \nL 191.827881 218.107194 \nL 190.282074 220.23628 \nL 188.415904 222.156796 \nL 187.342598 223.030625 \nL 186.163402 223.840671 \nL 184.867835 224.580884 \nL 183.444389 225.2438 \nL 181.880459 225.82026 \nL 180.162283 226.299071 \nL 178.27488 226.666615 \nL 176.20201 226.906376 \nL 173.926155 226.998396 \nL 171.428538 226.918643 \nL 168.689186 226.638282 \nL 165.687063 226.122865 \nL 162.400324 225.331431 \nL 158.806665 224.215569 \nL 154.883871 222.718463 \nL 150.610606 220.774017 \nL 145.967488 218.306198 \nL 140.938549 215.228782 \nL 135.513182 211.44579 \nL 129.688667 206.853008 \nL 123.473331 201.341129 \nL 116.890529 194.801126 \nL 109.983329 187.132608 \nL 102.81989 178.255909 \nL 95.499318 168.12838 \nL 88.157405 156.764907 \nL 80.971519 144.26169 \nL 74.163291 130.82061 \nL 67.997602 116.76963 \nL 62.775821 102.572321 \nL 58.821584 88.818394 \nL 56.458091 76.18745 \nL 55.977414 65.382951 \nL 57.604711 57.041243 \nL 61.462849 51.631353 \nL 67.545088 49.370314 \nL 75.703337 50.179945 \nL 85.65686 53.701689 \nL 97.021363 59.367152 \nL 109.352727 66.50333 \nL 122.195716 74.441635 \nL 147.789686 90.544579 \nL 159.903349 97.970931 \nL 171.273083 104.716673 \nL 181.779249 110.717603 \nL 191.365517 115.978979 \nL 200.024475 120.54795 \nL 214.69494 127.888527 \nL 226.239628 133.320154 \nL 235.235255 137.342357 \nL 245.16162 141.498445 \nL 250.081127 143.344425 \nL 254.066346 144.610389 \nL 257.385235 145.378926 \nL 260.233531 145.705159 \nL 262.747059 145.629703 \nL 265.012878 145.187819 \nL 267.078874 144.416019 \nL 268.961972 143.356879 \nL 270.655327 142.062257 \nL 272.134896 140.595012 \nL 273.365791 139.028921 \nL 274.308587 137.446813 \nL 274.925574 135.936684 \nL 275.186764 134.586254 \nL 275.07518 133.476444 \nL 274.87889 133.033575 \nL 274.59094 132.674839 \nL 274.214395 132.405672 \nL 273.753553 132.230085 \nL 272.602093 132.168256 \nL 271.193206 132.491774 \nL 269.597235 133.180856 \nL 267.893117 134.197027 \nL 266.162779 135.487923 \nL 264.485837 136.992365 \nL 262.935221 138.644952 \nL 261.574024 140.379761 \nL 260.453768 142.132814 \nL 259.613789 143.843514 \nL 259.081581 145.45529 \nL 258.873656 146.915614 \nL 258.996624 148.175857 \nL 259.448176 149.191103 \nL 260.217794 149.920267 \nL 261.287054 150.326582 \nL 262.629466 150.378681 \nL 264.209934 150.052379 \nL 265.983956 149.333159 \nL 267.896761 148.219332 \nL 269.882706 146.725698 \nL 271.86537 144.887203 \nL 273.758652 142.761993 \nL 275.469422 140.43294 \nL 276.902018 138.006591 \nL 277.964541 135.608729 \nL 278.576689 133.376073 \nL 278.694056 132.364621 \nL 278.678282 131.444744 \nL 278.526271 130.631148 \nL 278.237081 129.936834 \nL 277.812011 129.372738 \nL 277.254631 128.947462 \nL 276.570791 128.667067 \nL 275.768492 128.534989 \nL 274.857735 128.552008 \nL 273.850298 128.716349 \nL 272.759463 129.023868 \nL 270.386254 130.041461 \nL 267.861798 131.534426 \nL 265.312401 133.413638 \nL 262.857371 135.581322 \nL 260.601733 137.939281 \nL 258.631914 140.394382 \nL 257.014223 142.86137 \nL 255.795558 145.263532 \nL 255.005582 147.531946 \nL 254.659568 149.604012 \nL 254.654587 150.548162 \nL 254.761231 151.421754 \nL 254.978547 152.218033 \nL 255.305116 152.930367 \nL 255.739083 153.552224 \nL 256.278161 154.077195 \nL 256.919627 154.498986 \nL 257.660306 154.811438 \nL 258.496535 155.008608 \nL 259.42411 155.084792 \nL 260.438227 155.034637 \nL 261.533409 154.853252 \nL 262.703415 154.536345 \nL 263.941165 154.080381 \nL 266.586766 152.742122 \nL 269.393218 150.833344 \nL 272.264801 148.375622 \nL 275.086025 145.425578 \nL 277.722948 142.081999 \nL 280.027857 138.489603 \nL 281.007947 136.657446 \nL 281.848051 134.836612 \nL 282.530459 133.055647 \nL 283.038987 131.343962 \nL 283.359518 129.731021 \nL 283.480567 128.245413 \nL 283.393783 126.91392 \nL 283.094379 125.760601 \nL 282.581471 124.805951 \nL 281.85828 124.0662 \nL 280.932187 123.552809 \nL 279.814621 123.272175 \nL 278.520793 123.225599 \nL 277.069276 123.409494 \nL 275.48147 123.815783 \nL 273.780966 124.432491 \nL 271.99284 125.244469 \nL 270.142953 126.234132 \nL 268.25725 127.382261 \nL 264.478814 130.073185 \nL 260.844554 133.156395 \nL 257.511417 136.48168 \nL 254.60009 139.917665 \nL 252.194835 143.353941 \nL 250.347566 146.699002 \nL 249.642106 148.312928 \nL 249.084236 149.876227 \nL 248.674297 151.380866 \nL 248.41186 152.819188 \nL 248.295893 154.183767 \nL 248.324913 155.467297 \nL 248.497111 156.662489 \nL 248.81043 157.762013 \nL 249.262647 158.758382 \nL 249.8514 159.643932 \nL 250.574197 160.410764 \nL 251.428406 161.050726 \nL 252.41119 161.555382 \nL 253.519462 161.916063 \nL 254.749766 162.123896 \nL 256.098165 162.169889 \nL 257.560094 162.04504 \nL 259.130184 161.740501 \nL 260.802083 161.247802 \nL 262.56824 160.559098 \nL 264.419689 159.667528 \nL 266.345819 158.56761 \nL 268.334132 157.255713 \nL 270.370049 155.730596 \nL 272.436698 153.993988 \nL 274.514771 152.051233 \nL 276.582423 149.911925 \nL 278.615267 147.590521 \nL 280.586455 145.106882 \nL 282.466925 142.486677 \nL 284.225752 139.761588 \nL 285.830712 136.969231 \nL 287.248989 134.152755 \nL 288.448083 131.360038 \nL 289.396862 128.642486 \nL 290.066739 126.053432 \nL 290.432907 123.646182 \nL 290.475582 121.471844 \nL 290.181137 119.577036 \nL 289.54306 118.001746 \nL 288.562644 116.777441 \nL 287.249323 115.925672 \nL 285.620601 115.457262 \nL 283.701598 115.372214 \nL 281.524151 115.6603 \nL 279.125659 116.302215 \nL 276.547616 117.271185 \nL 273.834049 118.534913 \nL 271.029905 120.057598 \nL 268.179538 121.801795 \nL 265.32537 123.730135 \nL 262.506784 125.80668 \nL 259.75929 127.997925 \nL 257.113971 130.273439 \nL 254.59721 132.606209 \nL 252.230648 134.972698 \nL 250.031337 137.352694 \nL 248.012055 139.729042 \nL 246.181728 142.087283 \nL 244.545917 144.415266 \nL 243.107331 146.702753 \nL 241.866348 148.941036 \nL 240.821514 151.122594 \nL 239.970004 153.240782 \nL 239.308032 155.289568 \nL 238.831223 157.263319 \nL 238.534918 159.156577 \nL 238.414433 160.963888 \nL 238.465259 162.679683 \nL 238.683221 164.298106 \nL 239.064598 165.81292 \nL 239.606182 167.217385 \nL 240.305325 168.504152 \nL 241.15993 169.66518 \nL 242.168425 170.69162 \nL 243.329698 171.573752 \nL 244.643004 172.300887 \nL 246.107835 172.861342 \nL 247.723774 173.242373 \nL 249.490284 173.430182 \nL 251.4065 173.409943 \nL 253.470941 173.165906 \nL 255.681198 172.681549 \nL 258.033577 171.939846 \nL 260.522695 170.923632 \nL 263.141005 169.616121 \nL 265.878303 168.001587 \nL 268.721203 166.066232 \nL 271.652557 163.799283 \nL 274.650897 161.194255 \nL 277.689923 158.250472 \nL 280.73802 154.9747 \nL 283.757954 151.382922 \nL 286.706737 147.502029 \nL 289.535756 143.371379 \nL 292.191274 139.043926 \nL 294.615368 134.586683 \nL 296.747311 130.080328 \nL 298.52552 125.617637 \nL 299.889979 121.3006 \nL 300.785111 117.236258 \nL 301.162874 113.531329 \nL 300.985936 110.286108 \nL 300.230574 107.588041 \nL 298.889053 105.505954 \nL 296.971104 104.085345 \nL 294.504341 103.345757 \nL 291.533451 103.280253 \nL 288.118207 103.857315 \nL 284.330447 105.024698 \nL 280.250358 106.714756 \nL 275.962369 108.850373 \nL 271.551149 111.350833 \nL 267.097915 114.136947 \nL 262.677453 117.135022 \nL 258.355904 120.279547 \nL 254.189384 123.514618 \nL 250.223392 126.794279 \nL 246.492898 130.082041 \nL 243.02293 133.349908 \nL 239.829536 136.577134 \nL 236.920964 139.748878 \nL 234.298943 142.854955 \nL 231.959954 145.888694 \nL 229.896443 148.845967 \nL 228.097915 151.724443 \nL 226.551909 154.522984 \nL 225.244813 157.241179 \nL 224.162553 159.879018 \nL 223.291143 162.436674 \nL 222.617115 164.9143 \nL 222.127844 167.311923 \nL 221.811795 169.629353 \nL 221.658687 171.866129 \nL 221.659602 174.021444 \nL 221.807042 176.094101 \nL 222.094959 178.082463 \nL 222.518745 179.984372 \nL 223.075216 181.797095 \nL 223.762573 183.517251 \nL 224.580352 185.140692 \nL 225.529374 186.662401 \nL 226.611684 188.076373 \nL 227.830485 189.375465 \nL 229.190065 190.55122 \nL 230.695722 191.593698 \nL 232.353669 192.49125 \nL 234.170931 193.230312 \nL 236.155206 193.795148 \nL 238.314707 194.167605 \nL 240.657968 194.326851 \nL 243.193573 194.249142 \nL 245.929847 193.907612 \nL 248.874447 193.272121 \nL 252.033847 192.309218 \nL 255.412722 190.982273 \nL 259.013162 189.251806 \nL 262.833747 187.076192 \nL 266.868414 184.412735 \nL 271.105176 181.219365 \nL 275.524613 177.456984 \nL 280.098243 173.092626 \nL 284.786776 168.103551 \nL 289.538376 162.482256 \nL 294.287096 156.242291 \nL 298.951667 149.424571 \nL 303.435025 142.103634 \nL 307.624798 134.39293 \nL 311.395254 126.448029 \nL 314.61098 118.466266 \nL 317.132592 110.681494 \nL 318.824448 103.352985 \nL 319.564088 96.74834 \nL 319.252629 91.121384 \nL 317.825006 86.687899 \nL 315.258596 83.602703 \nL 311.578642 81.942638 \nL 306.859437 81.698935 \nL 301.220507 82.78091 \nL 294.818235 85.03025 \nL 287.833953 88.242891 \nL 280.460373 92.193869 \nL 272.888143 96.660654 \nL 265.294341 101.441407 \nL 257.833873 106.366494 \nL 250.634325 111.303316 \nL 243.793973 116.155722 \nL 237.382441 120.859846 \nL 231.443188 125.378088 \nL 225.997116 129.692762 \nL 221.046621 133.800177 \nL 216.57963 137.705718 \nL 212.573323 141.420051 \nL 208.997384 144.956364 \nL 205.816699 148.328507 \nL 202.993531 151.549841 \nL 200.489197 154.632545 \nL 198.265322 157.587334 \nL 194.512049 163.148229 \nL 191.459979 168.288165 \nL 187.688304 175.281927 \nL 184.321952 181.459574 \nL 182.052167 185.122252 \nL 179.617695 188.400473 \nL 178.304435 189.885657 \nL 176.909959 191.260904 \nL 175.421761 192.51915 \nL 173.827506 193.651897 \nL 172.114927 194.648981 \nL 170.271764 195.498379 \nL 168.285728 196.185935 \nL 166.144517 196.695113 \nL 163.835874 197.006705 \nL 161.347699 197.098537 \nL 158.668238 196.945192 \nL 155.786356 196.51777 \nL 152.69192 195.783698 \nL 149.376278 194.706657 \nL 145.832925 193.246705 \nL 142.05829 191.360628 \nL 138.052766 189.002673 \nL 133.821898 186.125773 \nL 129.377831 182.683398 \nL 124.740978 178.632229 \nL 119.94184 173.935779 \nL 115.022975 168.569065 \nL 110.040955 162.524352 \nL 105.068153 155.817897 \nL 100.19405 148.497217 \nL 95.525774 140.648259 \nL 91.187435 132.401364 \nL 87.317746 123.934568 \nL 84.065595 115.472559 \nL 81.583288 107.279742 \nL 80.01744 99.646173 \nL 79.497977 92.8666 \nL 80.126218 87.214035 \nL 81.963448 82.911592 \nL 85.021782 80.10715 \nL 89.259034 78.856209 \nL 94.578903 79.116784 \nL 100.836885 80.757818 \nL 107.851267 83.579355 \nL 115.417559 87.339972 \nL 123.324193 91.785704 \nL 131.367213 96.675351 \nL 139.362168 101.798559 \nL 147.1523 106.985695 \nL 154.612745 112.110172 \nL 161.651298 117.08538 \nL 168.206519 121.858331 \nL 174.244155 126.402173 \nL 179.752688 130.708856 \nL 184.738684 134.782774 \nL 189.222382 138.635745 \nL 193.233779 142.283323 \nL 196.809336 145.742271 \nL 199.989298 149.028903 \nL 202.815618 152.158173 \nL 205.330387 155.143213 \nL 209.587908 160.723217 \nL 213.06678 165.835505 \nL 221.289662 178.667585 \nL 223.926028 182.117402 \nL 225.30875 183.675691 \nL 226.755076 185.115914 \nL 228.279372 186.431271 \nL 229.89533 187.613531 \nL 231.616102 188.652895 \nL 233.454396 189.537819 \nL 235.42251 190.2548 \nL 237.532369 190.788182 \nL 239.795449 191.11994 \nL 242.222691 191.229479 \nL 244.824321 191.093466 \nL 247.609592 190.685683 \nL 250.586431 189.976984 \nL 253.760969 188.93538 \nL 257.136961 187.526281 \nL 260.715028 185.713009 \nL 264.49179 183.457648 \nL 268.458788 180.722307 \nL 272.601269 177.470962 \nL 276.896822 173.671923 \nL 281.313913 169.301064 \nL 285.810365 164.345794 \nL 290.331938 158.809805 \nL 294.811168 152.718303 \nL 299.16664 146.123481 \nL 303.303027 139.109524 \nL 307.112165 131.796304 \nL 310.475485 124.340788 \nL 313.268071 116.934897 \nL 315.364449 109.798839 \nL 316.645977 103.169442 \nL 317.00948 97.28376 \nL 316.376325 92.359221 \nL 314.700867 88.573115 \nL 311.977041 86.044408 \nL 308.24189 84.821611 \nL 303.575225 84.879047 \nL 298.09509 86.122451 \nL 291.949592 88.402881 \nL 285.306128 91.535955 \nL 278.339528 95.322848 \nL 271.220731 99.569227 \nL 264.107213 104.099819 \nL 257.13604 108.767397 \nL 250.419774 113.456336 \nL 244.04502 118.081955 \nL 238.07314 122.586947 \nL 232.542484 126.936437 \nL 227.471513 131.112695 \nL 222.862321 135.110249 \nL 218.704133 138.931753 \nL 214.976551 142.584779 \nL 211.652409 146.079458 \nL 208.70016 149.42684 \nL 206.085815 152.637862 \nL 203.774458 155.722733 \nL 201.731383 158.690592 \nL 199.922926 161.549438 \nL 196.883563 166.966333 \nL 194.424335 172.015859 \nL 191.400391 178.961126 \nL 188.712075 185.195858 \nL 186.901102 188.964894 \nL 184.956408 192.417041 \nL 182.787216 195.535413 \nL 181.591249 196.960819 \nL 180.306609 198.29056 \nL 178.922306 199.518346 \nL 177.427091 200.636524 \nL 175.809368 201.635861 \nL 174.057142 202.5053 \nL 172.157973 203.231681 \nL 170.098981 203.79942 \nL 167.866867 204.190168 \nL 165.448006 204.382422 \nL 162.828571 204.351131 \nL 159.994761 204.067289 \nL 156.933102 203.497545 \nL 153.630867 202.603877 \nL 150.076657 201.343356 \nL 146.261143 199.668123 \nL 142.178021 197.52565 \nL 137.825218 194.859427 \nL 133.206373 191.610258 \nL 128.332633 187.718389 \nL 123.224753 183.126687 \nL 117.915491 177.785119 \nL 112.452222 171.656754 \nL 106.899616 164.725369 \nL 101.342176 157.004507 \nL 95.886249 148.547603 \nL 90.660987 139.458154 \nL 85.817793 129.89836 \nL 81.527392 120.094127 \nL 77.974033 110.333729 \nL 75.346329 100.957667 \nL 73.824767 92.33798 \nL 73.566561 84.847289 \nL 74.689309 78.820408 \nL 77.255786 74.514419 \nL 81.262439 72.07506 \nL 86.634248 71.517491 \nL 93.227568 72.726482 \nL 100.841056 75.476657 \nL 109.233141 79.467856 \nL 118.143062 84.367283 \nL 127.312013 89.849202 \nL 136.501274 95.625323 \nL 154.158925 107.188493 \nL 169.965519 117.89454 \nL 183.397371 127.333185 \nL 194.404556 135.520315 \nL 199.065792 139.198846 \nL 203.2223 142.63514 \nL 206.92313 145.853519 \nL 213.161089 151.71963 \nL 218.17746 156.930919 \nL 224.190896 163.693799 \nL 227.629021 167.551558 \nL 230.893554 170.890443 \nL 232.522545 172.357945 \nL 234.177553 173.684025 \nL 235.877139 174.861806 \nL 237.638041 175.882987 \nL 239.475316 176.737763 \nL 241.402459 177.414811 \nL 243.431473 177.901215 \nL 245.57288 178.182449 \nL 247.83567 178.242368 \nL 250.227192 178.063269 \nL 252.752973 177.625993 \nL 255.416444 176.91013 \nL 258.218614 175.89437 \nL 261.157624 174.556976 \nL 264.228254 172.876519 \nL 267.421325 170.832785 \nL 270.723041 168.408021 \nL 274.114287 165.588462 \nL 277.569906 162.366186 \nL 281.058023 158.74127 \nL 284.53946 154.724188 \nL 287.967347 150.338341 \nL 291.287019 145.622483 \nL 294.436315 140.632817 \nL 297.346461 135.444388 \nL 299.943552 130.151305 \nL 302.150787 124.865528 \nL 303.891487 119.713696 \nL 305.092786 114.831963 \nL 305.689842 110.358909 \nL 305.630309 106.426928 \nL 304.878569 103.152997 \nL 303.419362 100.629858 \nL 301.260243 98.918815 \nL 298.432516 98.045411 \nL 294.990385 97.998459 \nL 291.008318 98.732771 \nL 286.576907 100.175032 \nL 281.797619 102.231784 \nL 276.777072 104.798365 \nL 271.621402 107.767422 \nL 266.431266 111.036214 \nL 261.297888 114.511845 \nL 256.300278 118.11451 \nL 251.503698 121.778747 \nL 246.959218 125.453253 \nL 242.704166 129.099598 \nL 238.763242 132.690375 \nL 235.150034 136.207135 \nL 231.86875 139.638392 \nL 228.915986 142.977817 \nL 226.282437 146.222722 \nL 223.954438 149.372891 \nL 221.915334 152.429643 \nL 220.146633 155.395189 \nL 218.628953 158.272175 \nL 217.342792 161.063359 \nL 216.269107 163.771439 \nL 215.389764 166.398915 \nL 214.687841 168.948066 \nL 214.147851 171.420879 \nL 213.755868 173.819075 \nL 213.499593 176.144102 \nL 213.368368 178.397125 \nL 213.446531 182.690499 \nL 213.936757 186.703015 \nL 214.808766 190.433556 \nL 215.384323 192.19114 \nL 216.05346 193.875014 \nL 216.818036 195.483069 \nL 217.681019 197.012563 \nL 218.64645 198.460015 \nL 219.719417 199.821078 \nL 220.906039 201.090394 \nL 222.213436 202.261443 \nL 223.649725 203.326313 \nL 225.223993 204.275499 \nL 226.946276 205.09763 \nL 228.827523 205.77917 \nL 230.879541 206.304073 \nL 233.114903 206.653414 \nL 235.546837 206.804977 \nL 238.189034 206.73281 \nL 241.05542 206.406778 \nL 244.159803 205.79212 \nL 247.515414 204.849067 \nL 251.134316 203.53255 \nL 255.026604 201.792113 \nL 259.199394 199.572116 \nL 263.655553 196.812404 \nL 268.392114 193.449605 \nL 273.398364 189.419317 \nL 278.653585 184.659444 \nL 284.124463 179.11495 \nL 289.76225 172.744321 \nL 295.499789 165.527763 \nL 301.248715 157.477199 \nL 306.897176 148.647392 \nL 312.308632 139.14726 \nL 317.322379 129.149642 \nL 321.756626 118.896965 \nL 325.414726 108.699907 \nL 328.095245 98.926147 \nL 329.605642 89.977143 \nL 329.779002 82.253369 \nL 328.491981 76.111292 \nL 325.681513 71.818955 \nL 321.357061 69.519459 \nL 315.60573 69.211178 \nL 308.588282 70.75053 \nL 300.526237 73.877077 \nL 291.681936 78.254891 \nL 282.335105 83.520001 \nL 272.759864 89.323735 \nL 263.205578 95.364182 \nL 244.960539 107.270252 \nL 228.750735 118.101543 \nL 215.062279 127.510665 \nL 203.897159 135.571121 \nL 194.97756 142.500921 \nL 187.903066 148.519554 \nL 182.249155 153.796038 \nL 175.578841 160.548426 \nL 170.108522 166.046662 \nL 166.701882 169.021381 \nL 164.995347 170.29131 \nL 163.259291 171.408289 \nL 161.475997 172.364532 \nL 159.629807 173.150866 \nL 157.706981 173.756706 \nL 155.695612 174.170078 \nL 153.585615 174.377655 \nL 151.368748 174.364807 \nL 149.038708 174.115743 \nL 146.59129 173.613666 \nL 144.024619 172.841095 \nL 141.339454 171.780249 \nL 138.539556 170.413615 \nL 135.632116 168.724679 \nL 132.628253 166.698897 \nL 129.543537 164.324862 \nL 126.398539 161.595705 \nL 123.219334 158.510739 \nL 120.037977 155.077298 \nL 116.892786 151.312639 \nL 113.828469 147.245856 \nL 110.89595 142.919551 \nL 108.151777 138.391057 \nL 105.657089 133.732969 \nL 103.476042 129.032587 \nL 101.673641 124.390104 \nL 100.31305 119.915345 \nL 99.452443 115.722994 \nL 99.14157 111.926611 \nL 99.418296 108.631748 \nL 100.305493 105.929004 \nL 101.808564 103.887686 \nL 103.913962 102.55108 \nL 106.588943 101.933832 \nL 109.782712 102.022049 \nL 113.428801 102.775803 \nL 117.448562 104.13389 \nL 121.755354 106.020014 \nL 126.259029 108.349366 \nL 130.870287 111.034997 \nL 135.504475 113.993195 \nL 140.084656 117.147424 \nL 144.543755 120.43087 \nL 148.825791 123.787553 \nL 152.886261 127.172338 \nL 156.691862 130.550176 \nL 160.219678 133.894843 \nL 163.45604 137.187471 \nL 166.395177 140.415083 \nL 169.037824 143.569226 \nL 171.389853 146.644778 \nL 173.461008 149.638982 \nL 175.263763 152.55069 \nL 176.812345 155.379764 \nL 178.121908 158.126677 \nL 179.207857 160.79218 \nL 180.085318 163.377098 \nL 180.768724 165.882183 \nL 181.271507 168.308035 \nL 181.605884 170.655014 \nL 181.782706 172.92318 \nL 181.811374 175.112283 \nL 181.699795 177.221709 \nL 181.454372 179.250428 \nL 181.080017 181.196951 \nL 180.580183 183.059282 \nL 179.956913 184.834843 \nL 179.210884 186.520388 \nL 178.34146 188.111899 \nL 177.346756 189.604492 \nL 176.22369 190.992264 \nL 174.968041 192.268146 \nL 173.574515 193.423735 \nL 172.036817 194.449083 \nL 170.347724 195.332487 \nL 168.499183 196.06023 \nL 166.482432 196.61633 \nL 164.288139 196.982239 \nL 161.906594 197.13656 \nL 159.327953 197.054762 \nL 156.542549 196.708911 \nL 153.541288 196.067463 \nL 150.316164 195.095152 \nL 146.860879 193.753043 \nL 143.171654 191.998791 \nL 139.248186 189.787261 \nL 135.09483 187.071576 \nL 130.721988 183.804754 \nL 126.147704 179.942147 \nL 121.399482 175.444701 \nL 116.516211 170.283336 \nL 111.550179 164.444367 \nL 106.568908 157.935964 \nL 101.656679 150.795299 \nL 96.915338 143.095866 \nL 92.464041 134.953933 \nL 88.43745 126.532821 \nL 84.981994 118.043396 \nL 82.249818 109.73904 \nL 80.390378 101.903855 \nL 79.539933 94.833678 \nL 79.809808 88.811114 \nL 81.274605 84.077364 \nL 83.962221 80.805524 \nL 87.84729 79.080418 \nL 92.84968 78.889526 \nL 98.838677 80.127362 \nL 105.64254 82.612355 \nL 113.062121 86.112653 \nL 120.886403 90.375236 \nL 128.907725 95.152769 \nL 136.934658 100.224109 \nL 144.801386 105.406637 \nL 152.373104 110.560764 \nL 159.547741 115.588235 \nL 166.254791 120.42657 \nL 172.452148 125.041749 \nL 178.121843 129.420701 \nL 183.265402 133.564602 \nL 187.899325 137.483453 \nL 192.051003 141.191979 \nL 195.755226 144.706769 \nL 199.051326 148.044404 \nL 201.980916 151.22031 \nL 204.586176 154.248208 \nL 208.988124 159.904987 \nL 212.567226 165.085794 \nL 216.977064 172.054683 \nL 220.886603 178.107121 \nL 223.504243 181.623358 \nL 224.870145 183.216917 \nL 226.295086 184.694269 \nL 227.793658 186.049024 \nL 229.379746 187.273405 \nL 231.066654 188.35812 \nL 232.867219 189.292181 \nL 234.793865 190.062709 \nL 236.858632 190.654738 \nL 239.073146 191.050997 \nL 241.44853 191.231706 \nL 243.995255 191.174395 \nL 246.722918 190.853737 \nL 249.639901 190.241495 \nL 252.752954 189.306527 \nL 256.066643 188.015006 \nL 259.582653 186.330814 \nL 263.298954 184.216284 \nL 267.208786 181.633336 \nL 271.299491 178.545108 \nL 275.551195 174.918256 \nL 279.935343 170.725888 \nL 284.413215 165.951353 \nL 288.934446 160.592723 \nL 293.43576 154.667952 \nL 297.840091 148.220291 \nL 302.056336 141.323534 \nL 305.980087 134.08625 \nL 309.49561 126.653987 \nL 312.479379 119.208372 \nL 314.805317 111.961932 \nL 316.351747 105.148014 \nL 317.00968 99.00568 \nL 316.691889 93.760782 \nL 315.34166 89.605225 \nL 312.94011 86.677758 \nL 309.510783 85.049572 \nL 305.120548 84.717772 \nL 299.87638 85.608134 \nL 293.918189 87.586707 \nL 287.408705 90.477773 \nL 280.521784 94.084669 \nL 273.430766 98.209787 \nL 266.298214 102.670662 \nL 259.268143 107.310713 \nL 252.460995 112.004396 \nL 245.971446 116.657705 \nL 239.868496 121.205342 \nL 234.19732 125.606066 \nL 228.982163 129.837405 \nL 224.229793 133.890587 \nL 219.93304 137.766143 \nL 216.074146 141.470438 \nL 212.627745 145.013029 \nL 209.563402 148.404828 \nL 206.847689 151.656893 \nL 204.445824 154.779714 \nL 202.322921 157.782783 \nL 200.44491 160.674457 \nL 197.294964 166.151289 \nL 194.758721 171.255056 \nL 191.670486 178.275068 \nL 188.074144 186.527745 \nL 186.225517 190.187498 \nL 184.210666 193.525468 \nL 183.11297 195.067723 \nL 181.940642 196.520682 \nL 180.682872 197.879548 \nL 179.32872 199.13839 \nL 177.86702 200.289971 \nL 176.286283 201.32555 \nL 174.574636 202.234626 \nL 172.71977 203.004692 \nL 170.708937 203.620908 \nL 168.528958 204.065773 \nL 166.166297 204.318747 \nL 163.607179 204.355871 \nL 160.837772 204.149348 \nL 157.844479 203.667141 \nL 154.614315 202.87264 \nL 151.135443 201.724383 \nL 147.397846 200.175969 \nL 143.394244 198.176211 \nL 139.121198 195.669705 \nL 134.580526 192.597899 \nL 129.780988 188.900992 \nL 124.74031 184.520737 \nL 119.487486 179.404543 \nL 114.065341 173.511008 \nL 108.533207 166.817031 \nL 102.969533 159.326511 \nL 97.474069 151.080181 \nL 92.169224 142.1659 \nL 87.200001 132.72794 \nL 82.731831 122.973263 \nL 78.94566 113.172344 \nL 76.02982 103.651777 \nL 74.168502 94.776859 \nL 73.527219 86.923414 \nL 74.236721 80.441194 \nL 76.377133 75.613625 \nL 79.965129 72.621648 \nL 84.946705 71.519512 \nL 91.197619 72.229021 \nL 98.532013 74.554176 \nL 106.718209 78.212803 \nL 115.499028 82.877641 \nL 124.613248 88.217573 \nL 133.814839 93.931188 \nL 151.654416 105.538929 \nL 167.771625 116.40763 \nL 181.55824 126.036516 \nL 192.906767 134.397794 \nL 197.722998 138.15269 \nL 202.021042 141.658024 \nL 205.848912 144.938721 \nL 209.25713 148.017219 \nL 215.017129 153.641503 \nL 219.689023 158.646509 \nL 228.748519 168.813068 \nL 231.997849 171.96745 \nL 233.642156 173.337836 \nL 235.325776 174.562235 \nL 237.065967 175.632775 \nL 238.878271 176.540113 \nL 240.776645 177.273389 \nL 242.773546 177.820157 \nL 244.87995 178.166372 \nL 247.105332 178.296378 \nL 249.457567 178.192915 \nL 251.94278 177.837219 \nL 254.56509 177.209196 \nL 257.326302 176.287734 \nL 260.225514 175.051114 \nL 263.258609 173.477665 \nL 266.417712 171.546619 \nL 269.690522 169.239261 \nL 273.059654 166.540337 \nL 276.501882 163.439835 \nL 279.987453 159.935049 \nL 283.479468 156.032942 \nL 286.93341 151.752613 \nL 290.296938 147.127824 \nL 293.510066 142.209246 \nL 296.505822 137.06609 \nL 299.21155 131.786763 \nL 301.55091 126.478152 \nL 303.446664 121.263052 \nL 304.824173 116.275629 \nL 305.615492 111.654901 \nL 305.763806 107.536464 \nL 305.22779 104.043309 \nL 303.985516 101.27674 \nL 302.03731 99.308548 \nL 299.407194 98.175613 \nL 296.142609 97.877883 \nL 292.312308 98.380038 \nL 288.002621 99.616419 \nL 283.312477 101.498551 \nL 278.347752 103.923984 \nL 273.21551 106.785091 \nL 268.01876 109.976782 \nL 262.852149 113.402515 \nL 257.798792 116.97808 \nL 252.928362 120.633496 \nL 248.296334 124.313132 \nL 243.944191 127.974766 \nL 239.900364 131.587828 \nL 236.181654 135.13137 \nL 232.794922 138.592004 \nL 229.738865 141.962023 \nL 227.005763 145.237812 \nL 224.583071 148.418532 \nL 222.454862 151.505158 \nL 220.603038 154.499722 \nL 219.008345 157.404792 \nL 217.651194 160.223152 \nL 216.5123 162.957551 \nL 215.573163 165.610585 \nL 214.81642 168.184608 \nL 214.226088 170.681728 \nL 213.787715 173.103769 \nL 213.488462 175.452272 \nL 213.317137 177.728505 \nL 213.321639 182.067915 \nL 213.743613 186.126698 \nL 214.549089 189.904757 \nL 215.725592 193.396289 \nL 216.454461 195.030852 \nL 217.280161 196.588168 \nL 218.206366 198.065062 \nL 219.237807 199.45754 \nL 220.380242 200.760667 \nL 221.640443 201.968394 \nL 223.026181 203.073382 \nL 224.546202 204.066779 \nL 226.210216 204.937974 \nL 228.028858 205.674303 \nL 230.013647 206.260735 \nL 232.176914 206.679507 \nL 234.531691 206.909716 \nL 237.091566 206.926897 \nL 239.870464 206.702559 \nL 242.88234 206.203745 \nL 246.140778 205.392611 \nL 249.658451 204.226089 \nL 253.446404 202.655702 \nL 257.513128 200.627642 \nL 261.8634 198.083219 \nL 266.49682 194.959897 \nL 271.40602 191.193083 \nL 276.574547 186.719014 \nL 281.974371 181.478896 \nL 287.563128 175.424719 \nL 293.281151 168.526789 \nL 299.048568 160.783093 \nL 304.762732 152.230126 \nL 310.296491 142.954376 \nL 315.497969 133.103002 \nL 320.192515 122.891529 \nL 324.187669 112.605663 \nL 327.281685 102.594195 \nL 329.275937 93.250543 \nL 329.990635 84.982064 \nL 329.282692 78.169431 \nL 327.063371 73.121473 \nL 323.312698 70.034136 \nL 318.087696 68.963107 \nL 311.522078 69.817463 \nL 303.81661 72.376609 \nL 295.221466 76.326645 \nL 286.013536 81.307079 \nL 276.472687 86.957159 \nL 266.860679 92.952727 \nL 248.291817 104.989017 \nL 231.598708 116.087495 \nL 217.385089 125.778245 \nL 205.728664 134.081633 \nL 196.389886 141.204749 \nL 188.98106 147.374414 \nL 183.075777 152.77173 \nL 178.268951 157.519004 \nL 170.580669 165.30405 \nL 167.153045 168.368751 \nL 165.449034 169.685752 \nL 163.722965 170.851885 \nL 161.956329 171.859894 \nL 160.132738 172.701111 \nL 158.237794 173.365475 \nL 156.258967 173.841549 \nL 154.185578 174.116539 \nL 152.008777 174.176339 \nL 149.721639 174.005642 \nL 147.319294 173.588108 \nL 144.799122 172.906615 \nL 142.161041 171.943623 \nL 139.407835 170.681685 \nL 136.545575 169.104134 \nL 133.584091 167.195947 \nL 130.537456 164.944825 \nL 127.424548 162.342555 \nL 124.269543 159.386542 \nL 121.102416 156.081539 \nL 117.959258 152.441557 \nL 114.882485 148.491744 \nL 111.920727 144.270109 \nL 109.128386 139.828916 \nL 106.564773 135.235406 \nL 104.292689 130.571623 \nL 102.376492 125.933028 \nL 100.879582 121.42574 \nL 99.861427 117.162275 \nL 99.374225 113.255988 \nL 99.459495 109.81453 \nL 100.144857 106.932971 \nL 101.441349 104.687228 \nL 103.341632 103.128879 \nL 105.819351 102.281837 \nL 108.829813 102.141545 \nL 112.311933 102.676691 \nL 116.191382 103.833265 \nL 120.384518 105.540214 \nL 124.802768 107.715896 \nL 129.356979 110.274511 \nL 133.961401 113.131764 \nL 138.536987 116.209201 \nL 143.013798 119.437275 \nL 147.332526 122.756822 \nL 151.445158 126.119449 \nL 155.314906 129.487036 \nL 158.915569 132.830615 \nL 162.230494 136.129007 \nL 165.251319 139.367325 \nL 167.976596 142.535625 \nL 170.410422 145.627648 \nL 172.561153 148.639786 \nL 174.440227 151.570294 \nL 176.061142 154.418613 \nL 177.438589 157.184916 \nL 178.587728 159.869768 \nL 179.523614 162.47388 \nL 180.260751 164.997944 \nL 180.812745 167.442511 \nL 181.192069 169.807921 \nL 181.409884 172.094244 \nL 181.475934 174.301231 \nL 181.398493 176.428283 \nL 181.184336 178.474397 \nL 180.838752 180.438118 \nL 180.365567 182.317493 \nL 179.767184 184.109978 \nL 179.044626 185.812378 \nL 178.1976 187.420754 \nL 177.224538 188.930301 \nL 176.12267 190.335224 \nL 174.888073 191.628578 \nL 173.515744 192.802106 \nL 171.999664 193.846044 \nL 170.33288 194.748903 \nL 168.507601 195.497227 \nL 166.515317 196.075342 \nL 164.346938 196.465062 \nL 161.992984 196.645416 \nL 159.443824 196.592361 \nL 156.689984 196.278525 \nL 153.722524 195.673011 \nL 150.533543 194.741271 \nL 147.116799 193.445147 \nL 143.468472 191.743136 \nL 139.588116 189.590955 \nL 135.479801 186.942564 \nL 131.153449 183.751721 \nL 126.626421 179.974317 \nL 121.925254 175.571537 \nL 117.087561 170.514037 \nL 112.163982 164.787216 \nL 107.220027 158.397427 \nL 102.337558 151.378965 \nL 97.61568 143.801195 \nL 93.170537 135.774972 \nL 89.133702 127.457032 \nL 85.648672 119.050831 \nL 82.865128 110.802172 \nL 80.930907 102.988245 \nL 79.981883 95.899825 \nL 80.130524 89.817239 \nL 81.454341 84.983126 \nL 83.985826 81.575962 \nL 87.705656 79.689513 \nL 92.540662 79.322682 \nL 98.367279 80.3822 \nL 105.020385 82.697917 \nL 112.306261 86.047081 \nL 120.017668 90.18263 \nL 127.948887 94.859887 \nL 135.908694 99.857501 \nL 143.730022 104.990524 \nL 151.275737 110.115806 \nL 158.440801 115.13108 \nL 165.15147 119.969946 \nL 171.362424 124.59494 \nL 177.052711 128.990157 \nL 182.221218 133.154605 \nL 186.882203 137.096692 \nL 191.061228 140.830047 \nL 194.79163 144.370566 \nL 198.111623 147.734401 \nL 201.061991 150.936798 \nL 203.684319 153.991401 \nL 206.019696 156.910003 \nL 209.986266 162.376952 \nL 213.252857 167.395841 \nL 219.910284 178.161242 \nL 222.458935 181.762631 \nL 223.783727 183.404058 \nL 225.163153 184.933535 \nL 226.611816 186.345272 \nL 228.143616 187.632193 \nL 229.771898 188.78577 \nL 231.509567 189.795855 \nL 233.369167 190.650503 \nL 235.362925 191.335751 \nL 237.502748 191.835409 \nL 239.800159 192.130826 \nL 242.266187 192.200685 \nL 244.911175 192.020807 \nL 247.744499 191.56402 \nL 250.774198 190.800096 \nL 254.006478 189.695831 \nL 257.445095 188.215319 \nL 261.090568 186.320476 \nL 264.939248 183.971947 \nL 268.9822 181.130445 \nL 273.203922 177.758705 \nL 277.580907 173.824103 \nL 282.080091 169.302084 \nL 286.657292 164.1804 \nL 291.255708 158.464113 \nL 295.804708 152.181178 \nL 300.219135 145.388159 \nL 304.3994 138.175412 \nL 308.2327 130.670871 \nL 311.595723 123.041182 \nL 314.359054 115.489038 \nL 316.393398 108.245612 \nL 317.577542 101.557614 \nL 317.807466 95.669432 \nL 317.005872 90.802003 \nL 315.130851 87.131196 \nL 312.182432 84.769383 \nL 308.205754 83.753854 \nL 303.290021 84.044373 \nL 297.563112 85.530863 \nL 291.182419 88.049258 \nL 284.323247 91.402601 \nL 277.166355 95.383059 \nL 269.886314 99.791261 \nL 262.642 104.450496 \nL 255.569877 109.21496 \nL 248.780348 113.972314 \nL 242.356801 118.642145 \nL 236.356777 123.171667 \nL 230.814585 127.530278 \nL 225.744738 131.703967 \nL 221.145653 135.690335 \nL 217.003284 139.494435 \nL 213.294408 143.125646 \nL 209.989483 146.595402 \nL 207.05501 149.915642 \nL 204.45543 153.097886 \nL 202.15458 156.152678 \nL 200.116786 159.089335 \nL 196.694466 164.639122 \nL 193.936114 169.797129 \nL 190.577302 176.869173 \nL 187.639549 183.193184 \nL 185.687023 187.000796 \nL 183.608449 190.472894 \nL 181.305147 193.589644 \nL 180.040082 195.004887 \nL 178.684147 196.317384 \nL 177.225848 197.520079 \nL 175.653529 198.604456 \nL 173.955291 199.560301 \nL 172.118944 200.37546 \nL 170.131981 201.03555 \nL 167.981595 201.523645 \nL 165.654736 201.819944 \nL 163.138227 201.901413 \nL 160.418948 201.741409 \nL 157.484102 201.309345 \nL 154.321592 200.570382 \nL 150.920518 199.485226 \nL 147.271846 198.01008 \nL 143.369243 196.096849 \nL 139.210153 193.693715 \nL 134.797096 190.746223 \nL 130.139265 187.199063 \nL 125.254368 182.998772 \nL 120.170777 178.097511 \nL 114.929845 172.458214 \nL 109.588359 166.061059 \nL 104.220841 158.911375 \nL 98.921511 151.0485 \nL 93.805466 142.554973 \nL 89.008496 133.564807 \nL 84.685099 124.269058 \nL 81.003995 114.916532 \nL 78.140778 105.807384 \nL 76.267501 97.277816 \nL 75.539701 89.675423 \nL 76.081812 83.326899 \nL 77.972815 78.502277 \nL 81.234342 75.381982 \nL 85.823591 74.033847 \nL 91.632889 74.405663 \nL 98.49656 76.33557 \nL 106.204359 79.578102 \nL 114.519354 83.839571 \nL 123.197288 88.815191 \nL 132.004555 94.220627 \nL 140.732417 99.813632 \nL 157.290217 110.857809 \nL 171.933912 121.039253 \nL 184.281457 130.067892 \nL 189.589353 134.156704 \nL 194.35229 137.986027 \nL 198.607856 141.578226 \nL 202.399776 144.955602 \nL 205.775021 148.138788 \nL 208.781621 151.145959 \nL 213.877187 156.690967 \nL 218.042473 161.68119 \nL 226.320607 172.000082 \nL 229.38599 175.274552 \nL 230.957102 176.716668 \nL 232.578256 178.020582 \nL 234.265839 179.178441 \nL 236.034892 180.180891 \nL 237.89922 181.01697 \nL 239.871499 181.674028 \nL 241.963283 182.137598 \nL 244.184994 182.39133 \nL 246.545829 182.41693 \nL 249.053597 182.194134 \nL 251.714489 181.700784 \nL 254.532755 180.913002 \nL 257.510277 179.805462 \nL 260.646056 178.351929 \nL 263.935598 176.525947 \nL 267.37018 174.301882 \nL 270.936025 171.656308 \nL 274.613417 168.569767 \nL 278.375767 165.029 \nL 282.188684 161.029563 \nL 286.009142 156.578871 \nL 289.784876 151.699434 \nL 293.454051 146.432123 \nL 296.945464 140.839109 \nL 300.179407 135.005921 \nL 303.069339 129.04218 \nL 305.524522 123.080357 \nL 307.453688 117.271973 \nL 308.769629 111.781112 \nL 309.394559 106.77519 \nL 309.265805 102.413632 \nL 308.341285 98.835651 \nL 306.604134 96.148701 \nL 304.06579 94.419227 \nL 300.766991 93.667529 \nL 296.776395 93.867431 \nL 292.18685 94.950982 \nL 287.109701 96.817218 \nL 281.667825 99.343475 \nL 275.988224 102.397427 \nL 270.194982 105.847998 \nL 264.403336 109.574013 \nL 258.71515 113.469903 \nL 253.216127 117.448631 \nL 247.974542 121.442047 \nL 243.041343 125.399637 \nL 238.451233 129.286097 \nL 234.224459 133.078532 \nL 230.36894 136.763633 \nL 226.882524 140.335096 \nL 223.755183 143.791474 \nL 220.971028 147.134496 \nL 218.510077 150.367787 \nL 216.349762 153.495953 \nL 214.466145 156.523962 \nL 212.834908 159.456773 \nL 211.43209 162.299098 \nL 210.234649 165.055277 \nL 209.220852 167.729252 \nL 208.370527 170.324575 \nL 207.088239 175.291605 \nL 206.26145 179.97806 \nL 205.791422 184.401695 \nL 205.604477 188.577379 \nL 205.648622 192.517818 \nL 205.890134 196.233902 \nL 206.310545 199.734804 \nL 206.904258 203.027843 \nL 207.676831 206.118144 \nL 208.643943 209.00805 \nL 209.830986 211.696221 \nL 211.27323 214.176288 \nL 213.016516 216.434925 \nL 214.018535 217.474474 \nL 215.118384 218.449033 \nL 216.325336 219.353519 \nL 217.649598 220.181633 \nL 219.102372 220.925636 \nL 220.69591 221.57606 \nL 222.443568 222.121385 \nL 224.359841 222.547651 \nL 226.460393 222.838002 \nL 228.762053 222.97217 \nL 231.282767 222.92586 \nL 234.041509 222.670081 \nL 237.058114 222.170384 \nL 240.352996 221.386058 \nL 243.946756 220.269293 \nL 247.85958 218.764372 \nL 252.110431 216.806984 \nL 256.715932 214.323804 \nL 261.688875 211.232492 \nL 267.03628 207.442464 \nL 272.756932 202.856752 \nL 278.83825 197.375471 \nL 285.25257 190.901434 \nL 291.952702 183.348584 \nL 298.867006 174.653775 \nL 305.894194 164.792226 \nL 312.898421 153.796466 \nL 319.705432 141.77746 \nL 326.100963 128.945372 \nL 331.83292 115.625509 \nL 336.618859 102.263371 \nL 340.160223 89.411746 \nL 342.16402 77.694307 \nL 342.371051 67.743821 \nL 340.587706 60.121009 \nL 336.716488 55.228451 \nL 330.778466 53.240663 \nL 322.921611 54.0715 \nL 313.4113 57.391013 \nL 302.603486 62.688463 \nL 290.905827 69.363272 \nL 278.734913 76.818214 \nL 242.956693 99.252997 \nL 232.134854 105.823606 \nL 222.115187 111.744917 \nL 204.662718 121.657195 \nL 190.573245 129.316322 \nL 170.71176 139.788353 \nL 158.370764 146.119542 \nL 153.876591 148.215863 \nL 150.05434 149.71544 \nL 146.667819 150.656121 \nL 145.082641 150.922726 \nL 143.547454 151.055044 \nL 142.049843 151.053776 \nL 140.580391 150.919566 \nL 139.132459 150.653243 \nL 137.701979 150.256085 \nL 136.287273 149.730017 \nL 134.88889 149.07785 \nL 133.509452 148.303506 \nL 130.827314 146.410728 \nL 128.297351 144.112585 \nL 125.998611 141.498599 \nL 124.025686 138.688641 \nL 122.479784 135.830446 \nL 121.897744 134.435197 \nL 121.457783 133.091636 \nL 121.169328 131.82163 \nL 121.03998 130.646368 \nL 121.07518 129.585788 \nL 121.277921 128.657963 \nL 121.648498 127.878591 \nL 122.184388 127.260512 \nL 122.880172 126.813387 \nL 123.727603 126.54345 \nL 124.715754 126.453442 \nL 125.831256 126.54267 \nL 127.058625 126.807194 \nL 128.380668 127.240145 \nL 129.77891 127.832119 \nL 132.726476 129.445582 \nL 135.745459 131.539265 \nL 138.687588 133.993647 \nL 141.422373 136.689744 \nL 143.843217 139.516772 \nL 145.869462 142.375806 \nL 147.445235 145.180299 \nL 148.5362 147.854599 \nL 149.125355 150.331481 \nL 149.230132 151.476518 \nL 149.208813 152.549439 \nL 149.062373 153.543042 \nL 148.792216 154.450209 \nL 148.400116 155.263848 \nL 147.888202 155.976868 \nL 147.258933 156.582168 \nL 146.515125 157.07264 \nL 145.65997 157.441167 \nL 144.697099 157.68069 \nL 143.630641 157.784273 \nL 142.465326 157.745166 \nL 141.20658 157.55698 \nL 139.860641 157.213797 \nL 138.434701 156.710409 \nL 136.937026 156.042517 \nL 135.377102 155.207046 \nL 133.765779 154.202421 \nL 132.115374 153.02894 \nL 130.439798 151.68913 \nL 128.754601 150.18814 \nL 127.077034 148.534114 \nL 125.425998 146.738563 \nL 123.821958 144.816638 \nL 122.28679 142.787353 \nL 120.843468 140.67368 \nL 119.515738 138.502468 \nL 118.327631 136.304165 \nL 117.302883 134.112364 \nL 116.464279 131.963061 \nL 115.83292 129.893744 \nL 115.427439 127.942262 \nL 115.26324 126.145529 \nL 115.35176 124.538198 \nL 115.699823 123.1513 \nL 116.309143 122.011042 \nL 117.176015 121.137766 \nL 118.291242 120.545261 \nL 119.640239 120.240371 \nL 121.203452 120.222985 \nL 122.956942 120.486447 \nL 124.873154 121.018201 \nL 126.921854 121.800758 \nL 129.0711 122.812776 \nL 131.288246 124.030228 \nL 133.540889 125.427516 \nL 135.797733 126.97849 \nL 138.029309 128.657346 \nL 142.311237 132.301036 \nL 146.20521 136.18013 \nL 149.579208 140.146902 \nL 151.043018 142.125414 \nL 152.3483 144.083936 \nL 153.490559 146.011676 \nL 154.467159 147.898999 \nL 155.277011 149.737195 \nL 155.920254 151.518263 \nL 156.397976 153.234726 \nL 156.711963 154.879468 \nL 156.864471 156.44556 \nL 156.858043 157.926132 \nL 156.695354 159.314247 \nL 156.379103 160.602787 \nL 155.911933 161.78437 \nL 155.296381 162.851245 \nL 154.534866 163.79524 \nL 153.629705 164.607706 \nL 152.583171 165.279469 \nL 151.397561 165.800826 \nL 150.07531 166.161524 \nL 148.619135 166.350832 \nL 147.03219 166.357598 \nL 145.31828 166.170363 \nL 143.482089 165.777564 \nL 141.52943 165.167759 \nL 139.467539 164.329984 \nL 137.305384 163.254159 \nL 135.053995 161.931608 \nL 132.726787 160.355701 \nL 130.339912 158.522585 \nL 127.912544 156.432027 \nL 125.467174 154.088355 \nL 123.02977 151.501399 \nL 120.62989 148.687467 \nL 118.30061 145.670215 \nL 116.078284 142.481341 \nL 114.002081 139.161033 \nL 112.11329 135.757937 \nL 110.454296 132.328683 \nL 109.067353 128.936721 \nL 107.993041 125.650569 \nL 107.268567 122.541331 \nL 106.925945 119.679736 \nL 106.99017 117.132761 \nL 107.477565 114.960161 \nL 108.394417 113.211246 \nL 109.736094 111.922225 \nL 111.486667 111.114393 \nL 113.619241 110.793384 \nL 116.096864 110.949572 \nL 118.874039 111.559557 \nL 121.898716 112.588499 \nL 125.114517 113.993041 \nL 128.463132 115.72445 \nL 131.886586 117.731646 \nL 135.329297 119.963882 \nL 138.739746 122.372904 \nL 142.071782 124.914459 \nL 145.285411 127.549266 \nL 148.347233 130.243376 \nL 151.230463 132.968174 \nL 153.914664 135.700038 \nL 156.385264 138.419809 \nL 158.632912 141.112146 \nL 160.65275 143.764923 \nL 162.443653 146.368563 \nL 164.007482 148.915496 \nL 165.348384 151.399649 \nL 166.472151 153.816037 \nL 167.385648 156.160438 \nL 168.096331 158.429066 \nL 168.611826 160.618383 \nL 168.939616 162.724897 \nL 169.086753 164.744983 \nL 169.05967 166.674787 \nL 168.864022 168.510079 \nL 168.504587 170.246148 \nL 167.985206 171.8777 \nL 167.30876 173.398732 \nL 166.477166 174.802452 \nL 165.491423 176.081134 \nL 164.351662 177.226008 \nL 163.057233 178.227157 \nL 161.606807 179.073359 \nL 159.998521 179.752009 \nL 158.23014 180.248973 \nL 156.299253 180.54851 \nL 154.203516 180.633216 \nL 151.940948 180.483991 \nL 149.510262 180.080101 \nL 146.911271 179.39931 \nL 144.145356 178.418161 \nL 141.216033 177.112379 \nL 138.129558 175.457548 \nL 134.895653 173.429959 \nL 131.528287 171.007833 \nL 128.046524 168.172866 \nL 124.475386 164.912125 \nL 120.846712 161.220344 \nL 117.199962 157.102574 \nL 113.582793 152.576992 \nL 110.051429 147.677839 \nL 106.670568 142.458028 \nL 103.512749 136.991191 \nL 100.657022 131.372603 \nL 98.186771 125.718488 \nL 96.186685 120.163322 \nL 94.738849 114.854694 \nL 93.918134 109.945897 \nL 93.78716 105.586412 \nL 94.391336 101.911289 \nL 95.754414 99.030672 \nL 97.875244 97.020804 \nL 100.726206 95.918034 \nL 104.253636 95.716795 \nL 108.38038 96.371985 \nL 113.010181 97.805151 \nL 118.033519 99.913617 \nL 123.334088 102.580817 \nL 128.795302 105.686449 \nL 134.306101 109.115128 \nL 139.765648 112.76269 \nL 145.08659 116.540111 \nL 150.196897 120.374984 \nL 155.040432 124.211245 \nL 159.576427 128.007637 \nL 163.778241 131.735459 \nL 167.63161 135.376118 \nL 171.132681 138.918752 \nL 174.285997 142.358128 \nL 177.102582 145.69292 \nL 179.598202 148.924335 \nL 181.79185 152.055122 \nL 183.704471 155.088826 \nL 185.357927 158.029312 \nL 186.774167 160.880449 \nL 187.974609 163.645939 \nL 188.979663 166.329189 \nL 189.80842 168.933309 \nL 190.478428 171.461073 \nL 191.404059 176.297181 \nL 191.863185 180.854119 \nL 191.935844 185.144743 \nL 191.677595 189.178646 \nL 191.122256 192.962229 \nL 190.284552 196.498384 \nL 189.162317 199.785692 \nL 187.738037 202.81714 \nL 186.9032 204.232722 \nL 185.979762 205.578146 \nL 184.961517 206.849946 \nL 183.841355 208.043777 \nL 182.611253 209.154247 \nL 181.262249 210.174735 \nL 179.784424 211.097173 \nL 178.166885 211.911784 \nL 176.397747 212.606779 \nL 174.464143 213.168018 \nL 172.352238 213.578602 \nL 170.047288 213.818429 \nL 167.533725 213.863685 \nL 164.795309 213.686291 \nL 161.815352 213.253319 \nL 158.577056 212.526386 \nL 155.06396 211.461087 \nL 151.260579 210.006513 \nL 147.153235 208.104939 \nL 142.731178 205.691831 \nL 137.988007 202.696351 \nL 132.923478 199.042588 \nL 127.545738 194.651833 \nL 121.87402 189.446261 \nL 115.941824 183.354425 \nL 109.800468 176.318936 \nL 103.522897 168.306656 \nL 97.207453 159.321278 \nL 90.981079 149.417933 \nL 85.001346 138.718412 \nL 79.456304 127.424751 \nL 74.561185 115.827844 \nL 70.550814 104.306625 \nL 67.667109 93.313717 \nL 66.141331 83.344337 \nL 66.172404 74.888855 \nL 67.903432 68.374123 \nL 71.400138 64.103849 \nL 76.6358 62.211918 \nL 83.486376 62.641374 \nL 91.738156 65.156257 \nL 101.107346 69.383896 \nL 111.268071 74.87635 \nL 121.883521 81.175232 \nL 132.63457 87.865371 \nL 201.130561 131.479749 \nL 211.506077 138.326427 \nL 219.710949 144.028599 \nL 226.231455 148.826388 \nL 237.97583 157.740395 \nL 241.738166 160.215358 \nL 243.546394 161.221114 \nL 245.337333 162.067797 \nL 247.130429 162.75036 \nL 248.942146 163.262698 \nL 250.786127 163.597796 \nL 252.673345 163.747911 \nL 254.612171 163.704779 \nL 256.608423 163.459817 \nL 258.665371 163.004418 \nL 260.783673 162.330265 \nL 262.961306 161.429727 \nL 265.193431 160.296355 \nL 267.472263 158.925422 \nL 269.786903 157.314553 \nL 272.123212 155.464479 \nL 274.463656 153.37978 \nL 276.787256 151.069707 \nL 279.069584 148.548974 \nL 281.282877 145.838505 \nL 283.396292 142.965998 \nL 285.376336 139.966296 \nL 287.187481 136.881425 \nL 288.79302 133.760222 \nL 290.156136 130.657485 \nL 291.241136 127.632585 \nL 292.01493 124.747539 \nL 292.448522 122.064674 \nL 292.518567 119.643893 \nL 292.2088 117.539854 \nL 291.511256 115.799238 \nL 290.427161 114.458367 \nL 288.967367 113.541453 \nL 287.152295 113.059683 \nL 285.011341 113.011103 \nL 282.58182 113.381462 \nL 279.907454 114.145803 \nL 277.036584 115.270618 \nL 274.020221 116.71634 \nL 270.910096 118.439853 \nL 267.756813 120.396893 \nL 264.608296 122.544038 \nL 261.508482 124.840296 \nL 258.496431 127.248179 \nL 255.605764 129.734353 \nL 252.864416 132.269869 \nL 250.294706 134.830094 \nL 247.913617 137.394405 \nL 245.733238 139.945774 \nL 243.76133 142.47025 \nL 242.001946 144.956458 \nL 240.456063 147.395098 \nL 239.122213 149.778494 \nL 237.997061 152.10019 \nL 237.075937 154.354617 \nL 236.353314 156.536792 \nL 235.823207 158.642089 \nL 235.479505 160.666021 \nL 235.316259 162.604073 \nL 235.327895 164.451561 \nL 235.509372 166.203492 \nL 235.85631 167.854435 \nL 236.365065 169.398429 \nL 237.032753 170.828854 \nL 237.857265 172.138327 \nL 238.837239 173.318617 \nL 239.972001 174.360508 \nL 241.261479 175.253714 \nL 242.706092 175.986776 \nL 244.306607 176.546982 \nL 246.063953 176.920305 \nL 247.979018 177.091344 \nL 250.052393 177.043355 \nL 252.284061 176.758302 \nL 254.673056 176.216989 \nL 257.217045 175.399324 \nL 259.911861 174.284692 \nL 262.750971 172.852503 \nL 265.724882 171.082963 \nL 268.820472 168.958044 \nL 272.020328 166.462757 \nL 275.302016 163.586696 \nL 278.637388 160.325878 \nL 281.991956 156.684818 \nL 285.324418 152.678776 \nL 288.586376 148.336053 \nL 291.7224 143.700079 \nL 294.670507 138.831065 \nL 297.3632 133.806831 \nL 299.72912 128.722516 \nL 301.695386 123.688724 \nL 303.190626 118.827949 \nL 304.148572 114.269187 \nL 304.512031 110.140918 \nL 304.236952 106.562954 \nL 303.296131 103.638159 \nL 301.68221 101.444781 \nL 299.40948 100.030698 \nL 296.514196 99.410349 \nL 293.053313 99.564893 \nL 289.101607 100.445474 \nL 284.74756 101.979071 \nL 280.088386 104.076112 \nL 275.224749 106.63841 \nL 270.25574 109.566785 \nL 265.274484 112.76716 \nL 260.364727 116.15502 \nL 255.598545 119.657973 \nL 251.035114 123.216717 \nL 246.720472 126.784652 \nL 242.688036 130.326712 \nL 238.959691 133.817657 \nL 235.547211 137.240256 \nL 232.45387 140.583492 \nL 229.676054 143.840995 \nL 227.204827 147.009699 \nL 225.027334 150.08878 \nL 223.128057 153.078864 \nL 221.489858 155.981416 \nL 220.094849 158.798337 \nL 218.925095 161.531666 \nL 217.963149 164.183414 \nL 217.192462 166.755442 \nL 216.59767 169.249384 \nL 216.164796 171.66662 \nL 215.881376 174.008263 \nL 215.736519 176.275127 \nL 215.720932 178.467725 \nL 215.826906 180.586246 \nL 216.04828 182.630562 \nL 216.380395 184.600159 \nL 216.820037 186.494119 \nL 217.365376 188.311082 \nL 218.015907 190.049155 \nL 218.772394 191.705854 \nL 219.636818 193.278018 \nL 220.61233 194.76169 \nL 221.703208 196.151997 \nL 222.914815 197.443 \nL 224.253572 198.627517 \nL 225.726909 199.696935 \nL 227.343231 200.640965 \nL 229.11186 201.447401 \nL 231.042978 202.101816 \nL 233.147528 202.587244 \nL 235.4371 202.883826 \nL 237.923757 202.968442 \nL 240.61982 202.814327 \nL 243.537553 202.39069 \nL 246.688772 201.662391 \nL 250.084319 200.589696 \nL 253.733385 199.128189 \nL 257.642642 197.228923 \nL 261.815168 194.838932 \nL 266.24911 191.902262 \nL 270.936084 188.361683 \nL 275.85927 184.161349 \nL 280.991208 179.250565 \nL 286.291428 173.588896 \nL 291.703864 167.152797 \nL 297.154432 159.943648 \nL 302.548867 151.996958 \nL 307.771405 143.392028 \nL 312.684687 134.260792 \nL 317.131598 124.794149 \nL 320.939592 115.243382 \nL 323.928037 105.914324 \nL 325.918711 97.152273 \nL 326.749195 89.316986 \nL 326.287922 82.749254 \nL 324.449386 77.733483 \nL 321.206773 74.462567 \nL 316.599842 73.01282 \nL 310.735858 73.335165 \nL 303.782835 75.265124 \nL 295.955828 78.549657 \nL 287.498376 82.884236 \nL 278.662226 87.952013 \nL 269.688532 93.457246 \nL 260.792841 99.148284 \nL 243.916147 110.358635 \nL 228.996761 120.649049 \nL 216.425012 129.73037 \nL 211.023336 133.827927 \nL 206.177419 137.656454 \nL 201.84837 141.239822 \nL 197.991109 144.60161 \nL 194.557334 147.763504 \nL 188.763732 153.5606 \nL 184.087309 158.747368 \nL 172.0086 172.831014 \nL 170.425404 174.335567 \nL 168.808668 175.702929 \nL 167.140522 176.926172 \nL 165.404706 177.996909 \nL 163.58642 178.905241 \nL 161.672201 179.639664 \nL 159.649876 180.187007 \nL 157.508539 180.532331 \nL 155.2386 180.658919 \nL 152.831901 180.548244 \nL 150.281903 180.180035 \nL 147.583951 179.532416 \nL 144.735632 178.582177 \nL 141.73721 177.30519 \nL 138.592171 175.677055 \nL 135.307859 173.673979 \nL 131.896199 171.273958 \nL 128.374492 168.458322 \nL 124.766224 165.213649 \nL 121.101941 161.534047 \nL 117.419983 157.423823 \nL 113.767117 152.900348 \nL 110.198844 147.996989 \nL 106.779383 142.765856 \nL 103.581027 137.279885 \nL 100.682833 131.633907 \nL 98.168495 125.944068 \nL 96.123306 120.345213 \nL 94.630234 114.985873 \nL 93.765307 110.020839 \nL 93.592497 105.60164 \nL 94.15868 101.865844 \nL 95.489074 98.92625 \nL 97.583865 96.861755 \nL 100.416521 95.711057 \nL 103.934101 95.470369 \nL 108.059738 96.095633 \nL 112.697022 97.508689 \nL 117.735837 99.606415 \nL 123.058936 102.271217 \nL 128.548542 105.381388 \nL 134.092263 108.819934 \nL 139.587912 112.481165 \nL 144.946842 116.274602 \nL 150.095883 120.126665 \nL 154.97793 123.980372 \nL 159.551449 127.7938 \nL 163.789238 131.537827 \nL 167.676661 135.19361 \nL 171.209647 138.750179 \nL 174.392667 142.202317 \nL 177.236777 145.548757 \nL 179.75786 148.790818 \nL 181.975089 151.93136 \nL 183.909631 154.974067 \nL 185.583594 157.922928 \nL 187.019193 160.781928 \nL 188.238113 163.554869 \nL 189.261036 166.245271 \nL 190.107317 168.85632 \nL 190.794766 171.390876 \nL 191.75602 176.240482 \nL 192.253349 180.811287 \nL 192.368618 185.11677 \nL 192.159188 189.167254 \nL 191.660717 192.970036 \nL 190.889891 196.529166 \nL 189.846696 199.844781 \nL 188.516047 202.911978 \nL 186.868749 205.719101 \nL 185.913459 207.019041 \nL 184.861793 208.245209 \nL 183.706178 209.392961 \nL 182.438125 210.456547 \nL 181.048201 211.428917 \nL 179.526012 212.301495 \nL 177.860176 213.063891 \nL 176.03831 213.703588 \nL 174.047037 214.20558 \nL 171.872011 214.551936 \nL 169.497968 214.721335 \nL 166.908846 214.688527 \nL 164.087934 214.423755 \nL 161.018135 213.892142 \nL 157.682329 213.053065 \nL 154.06388 211.859598 \nL 150.147322 210.258023 \nL 145.919293 208.18758 \nL 141.369744 205.580587 \nL 136.493487 202.363094 \nL 131.29218 198.456405 \nL 125.776726 193.779748 \nL 119.970174 188.254512 \nL 113.911118 181.810474 \nL 107.657427 174.394424 \nL 101.290215 165.981346 \nL 94.917613 156.588104 \nL 88.677833 146.288885 \nL 82.740731 135.230756 \nL 77.306857 123.646662 \nL 72.602906 111.861964 \nL 68.872461 100.289921 \nL 66.361456 89.411798 \nL 65.29854 79.739326 \nL 65.871753 71.761074 \nL 68.204514 65.880052 \nL 72.334991 62.354556 \nL 78.203466 61.257165 \nL 85.651471 62.463826 \nL 94.4339 65.67746 \nL 104.242695 70.480293 \nL 114.737475 76.400765 \nL 125.577423 82.978226 \nL 147.084441 96.588418 \nL 175.766485 114.785919 \nL 203.963899 132.527327 \nL 214.016277 139.085286 \nL 221.959211 144.527542 \nL 230.979549 151.083573 \nL 237.792175 156.0832 \nL 241.666596 158.638612 \nL 243.500552 159.685616 \nL 245.299742 160.575816 \nL 247.085382 161.305255 \nL 248.875509 161.868845 \nL 250.685165 162.26059 \nL 252.526579 162.473734 \nL 254.409264 162.500987 \nL 256.340118 162.334727 \nL 258.323436 161.967271 \nL 260.360912 161.391169 \nL 262.451597 160.599584 \nL 264.591809 159.58671 \nL 266.775046 158.348265 \nL 268.99185 156.882065 \nL 271.229706 155.188675 \nL 273.472944 153.272077 \nL 275.702679 151.140409 \nL 277.896835 148.806654 \nL 280.030218 146.289322 \nL 282.074768 143.612983 \nL 283.999911 140.80861 \nL 285.773101 137.91368 \nL 287.360543 134.971936 \nL 288.72812 132.032684 \nL 289.842509 129.149702 \nL 290.672414 126.379639 \nL 291.189932 123.780033 \nL 291.371939 121.406966 \nL 291.201423 119.312589 \nL 290.668613 117.542629 \nL 289.7719 116.13419 \nL 288.518343 115.113985 \nL 286.923782 114.497217 \nL 285.012476 114.287225 \nL 282.816309 114.475856 \nL 280.373574 115.044662 \nL 277.727469 115.966543 \nL 274.924402 117.207857 \nL 272.012222 118.730628 \nL 269.038519 120.49472 \nL 266.049117 122.459777 \nL 263.086771 124.586838 \nL 260.190195 126.839509 \nL 257.393385 129.184758 \nL 254.725278 131.593309 \nL 252.209648 134.039751 \nL 249.865259 136.502415 \nL 247.706178 138.963049 \nL 245.74222 141.406424 \nL 243.979492 143.8199 \nL 242.420937 146.192985 \nL 241.066915 148.51689 \nL 239.915756 150.784173 \nL 238.964256 152.988377 \nL 238.208148 155.123737 \nL 237.642506 157.184951 \nL 237.262082 159.16694 \nL 237.061595 161.064695 \nL 237.035959 162.873077 \nL 237.180465 164.586714 \nL 237.490911 166.199877 \nL 237.963686 167.706341 \nL 238.595824 169.099286 \nL 239.385014 170.371202 \nL 240.32958 171.513773 \nL 241.42844 172.517782 \nL 242.68101 173.373037 \nL 244.087116 174.068277 \nL 245.646833 174.591107 \nL 247.360316 174.927943 \nL 249.227598 175.064029 \nL 251.248332 174.983435 \nL 253.421488 174.669183 \nL 255.745025 174.10341 \nL 258.215492 173.26763 \nL 260.82757 172.143174 \nL 263.57358 170.711739 \nL 266.442921 168.956151 \nL 269.421478 166.861346 \nL 272.491006 164.415572 \nL 275.628492 161.611866 \nL 278.805588 158.449715 \nL 281.988081 154.936947 \nL 285.135559 151.091701 \nL 288.201271 146.944384 \nL 291.132313 142.539325 \nL 293.870213 137.936035 \nL 296.352015 133.209625 \nL 298.511928 128.450164 \nL 300.283575 123.760685 \nL 301.602775 119.253689 \nL 302.410812 115.046118 \nL 302.657935 111.253057 \nL 302.306888 107.980686 \nL 301.336048 105.319105 \nL 299.741858 103.335976 \nL 297.540227 102.071879 \nL 294.766592 101.537984 \nL 291.474631 101.716354 \nL 287.73363 102.562951 \nL 283.624828 104.012749 \nL 279.23702 105.986166 \nL 274.661987 108.395907 \nL 269.990074 111.15338 \nL 265.306381 114.174032 \nL 260.687763 117.381209 \nL 256.200757 120.708523 \nL 251.900464 124.100785 \nL 247.830262 127.513868 \nL 244.022205 130.913812 \nL 240.497907 134.275455 \nL 237.269765 137.580929 \nL 234.342353 140.818125 \nL 231.713843 143.979334 \nL 229.377393 147.060043 \nL 227.322431 150.058006 \nL 225.535782 152.972481 \nL 224.002642 155.803662 \nL 222.707396 158.552279 \nL 221.634273 161.21929 \nL 220.767868 163.805698 \nL 220.093544 166.312419 \nL 219.597717 168.740172 \nL 219.268069 171.089455 \nL 219.09368 173.360456 \nL 219.06511 175.553054 \nL 219.174434 177.666762 \nL 219.415242 179.700697 \nL 219.782623 181.653532 \nL 220.273128 183.523434 \nL 220.884727 185.308005 \nL 221.616752 187.004213 \nL 222.469847 188.608281 \nL 223.44591 190.115579 \nL 224.548036 191.520498 \nL 225.780465 192.816298 \nL 227.14852 193.99493 \nL 228.658543 195.046855 \nL 230.317817 195.960809 \nL 232.13449 196.723565 \nL 234.117459 197.319658 \nL 236.276244 197.731107 \nL 238.620811 197.937095 \nL 241.161345 197.913687 \nL 243.907963 197.633524 \nL 246.870349 197.065601 \nL 250.057262 196.175084 \nL 253.475944 194.923303 \nL 257.131364 193.267937 \nL 261.025281 191.163496 \nL 265.155105 188.562237 \nL 269.512545 185.415656 \nL 274.082026 181.676666 \nL 278.838881 177.302723 \nL 283.747391 172.259956 \nL 288.758711 166.528458 \nL 293.808876 160.108666 \nL 298.817093 153.028623 \nL 303.684627 145.351638 \nL 308.294668 137.183377 \nL 312.513644 128.677199 \nL 316.194458 120.036032 \nL 319.182027 111.508974 \nL 321.321275 103.381112 \nL 322.467486 95.955839 \nL 322.498233 89.530283 \nL 321.325743 84.366461 \nL 318.907958 80.662526 \nL 315.256435 78.529461 \nL 310.439386 77.978402 \nL 304.578839 78.921661 \nL 297.841984 81.187514 \nL 290.427896 84.545465 \nL 282.551645 88.736395 \nL 274.428233 93.501611 \nL 266.25853 98.605926 \nL 258.21871 103.852382 \nL 250.453783 109.088475 \nL 236.160977 119.133182 \nL 229.759813 123.832364 \nL 223.894209 128.286901 \nL 218.56584 132.496554 \nL 213.760172 136.471008 \nL 209.450784 140.225407 \nL 205.60309 143.777145 \nL 202.177399 147.143764 \nL 199.131346 150.341698 \nL 196.421737 153.38557 \nL 191.842712 159.059255 \nL 188.12043 164.240627 \nL 178.145105 178.970993 \nL 175.366777 182.207298 \nL 173.896179 183.646879 \nL 172.351123 184.958707 \nL 170.717524 186.1345 \nL 168.981968 187.164401 \nL 167.131618 188.03682 \nL 165.154154 188.738243 \nL 163.03777 189.253048 \nL 160.771216 189.563312 \nL 158.343907 189.648635 \nL 155.746104 189.485989 \nL 152.96917 189.049634 \nL 150.005934 188.311108 \nL 146.851151 187.23936 \nL 143.502095 185.801073 \nL 139.959291 183.961207 \nL 136.227383 181.683937 \nL 132.316177 178.933976 \nL 128.241804 175.678451 \nL 124.028032 171.889391 \nL 119.707626 167.546881 \nL 115.323753 162.642975 \nL 110.931232 157.186175 \nL 106.597524 151.206358 \nL 102.40323 144.759742 \nL 98.441837 137.933277 \nL 94.818433 130.847623 \nL 91.647104 123.657805 \nL 89.046836 116.55044 \nL 87.13582 109.736727 \nL 86.024342 103.440877 \nL 85.806644 97.884427 \nL 86.552593 93.267792 \nL 88.300048 89.751581 \nL 91.049135 87.440625 \nL 94.759478 86.373657 \nL 99.351013 86.52092 \nL 104.708562 87.790104 \nL 110.689735 90.039512 \nL 117.13501 93.095897 \nL 123.878678 96.773469 \nL 130.759274 100.89105 \nL 137.62826 105.285137 \nL 144.356359 109.817939 \nL 150.83729 114.380684 \nL 156.989061 118.892965 \nL 162.753316 123.29965 \nL 168.093291 127.566421 \nL 172.990939 131.674983 \nL 177.443672 135.618647 \nL 181.461123 139.398535 \nL 185.062104 143.020607 \nL 188.271938 146.493447 \nL 191.120202 149.82674 \nL 193.638884 153.030242 \nL 195.860938 156.113211 \nL 197.819185 159.084042 \nL 199.545509 161.950176 \nL 202.422135 167.393212 \nL 204.71082 172.483343 \nL 206.598499 177.249793 \nL 211.276108 189.775411 \nL 212.867239 193.383429 \nL 214.618597 196.704102 \nL 216.606726 199.723443 \nL 217.713371 201.11283 \nL 218.908096 202.416462 \nL 220.201078 203.628874 \nL 221.602927 204.743352 \nL 223.124771 205.751737 \nL 224.778319 206.644177 \nL 226.575906 207.408838 \nL 228.530522 208.031598 \nL 230.655799 208.495669 \nL 232.965977 208.781211 \nL 235.475805 208.864868 \nL 238.200395 208.719296 \nL 241.154979 208.312682 \nL 244.354586 207.608253 \nL 247.813549 206.563848 \nL 251.544893 205.131616 \nL 255.559488 203.257911 \nL 259.864977 200.883516 \nL 264.464399 197.944371 \nL 269.354484 194.373015 \nL 274.523583 190.101011 \nL 279.949209 185.062649 \nL 285.595243 179.200247 \nL 291.408817 172.471318 \nL 297.317125 164.857713 \nL 303.224438 156.376647 \nL 309.009708 147.092949 \nL 314.525421 137.13132 \nL 319.598509 126.686568 \nL 324.03404 116.028877 \nL 327.622614 105.500815 \nL 330.151835 95.502846 \nL 331.421872 86.465557 \nL 331.263923 78.809308 \nL 329.559708 72.896065 \nL 326.258809 68.981778 \nL 321.390525 67.179778 \nL 315.067146 67.444893 \nL 307.477189 69.583199 \nL 298.869107 73.285523 \nL 289.528177 78.17618 \nL 279.750782 83.864991 \nL 269.820367 89.991532 \nL 250.463036 102.42612 \nL 225.074793 119.128497 \nL 211.404967 128.352962 \nL 200.321738 136.166854 \nL 191.496414 142.823745 \nL 184.49837 148.556819 \nL 178.888032 153.537526 \nL 166.656386 164.803061 \nL 164.903939 166.175596 \nL 163.158633 167.398333 \nL 161.399242 168.465636 \nL 159.607092 169.370465 \nL 157.76588 170.104469 \nL 155.861526 170.65802 \nL 153.882084 171.020269 \nL 151.817684 171.179232 \nL 149.660551 171.121907 \nL 147.405057 170.834438 \nL 145.047871 170.302358 \nL 142.58813 169.510902 \nL 140.027699 168.445466 \nL 137.371472 167.092167 \nL 134.62773 165.438586 \nL 131.808532 163.47466 \nL 128.930128 161.193758 \nL 126.013346 158.593938 \nL 123.083974 155.679361 \nL 120.173019 152.46177 \nL 117.316839 148.96202 \nL 114.557056 145.211467 \nL 111.940235 141.253123 \nL 109.517164 137.142291 \nL 107.341803 132.946608 \nL 105.469752 128.745101 \nL 103.956281 124.626287 \nL 102.853992 120.68509 \nL 102.210192 117.018729 \nL 102.064075 113.721725 \nL 102.444057 110.880471 \nL 103.365408 108.567872 \nL 104.828498 106.838723 \nL 106.817857 105.726275 \nL 109.30225 105.240617 \nL 112.235756 105.368952 \nL 115.55986 106.077792 \nL 119.206313 107.316691 \nL 123.100527 109.022954 \nL 127.165147 111.126761 \nL 131.323506 113.556065 \nL 135.502679 116.240771 \nL 139.635969 119.11589 \nL 143.664672 122.123694 \nL 147.539141 125.214758 \nL 151.219198 128.348182 \nL 154.674001 131.4912 \nL 157.881458 134.618287 \nL 160.827372 137.710155 \nL 163.504391 140.75263 \nL 165.910885 143.735563 \nL 168.049832 146.651913 \nL 169.927752 149.496909 \nL 171.553741 152.2674 \nL 172.93862 154.961339 \nL 174.094211 157.577356 \nL 175.032718 160.114473 \nL 175.766247 162.57187 \nL 176.306409 164.948722 \nL 176.664024 167.244073 \nL 176.8489 169.456712 \nL 176.869683 171.585135 \nL 176.733751 173.627421 \nL 176.447159 175.581198 \nL 176.014616 177.443546 \nL 175.439481 179.210919 \nL 174.723798 180.879051 \nL 173.86832 182.442856 \nL 172.872577 183.896303 \nL 171.73493 185.232293 \nL 170.452645 186.442491 \nL 169.021986 187.517185 \nL 167.438312 188.44507 \nL 165.69619 189.213085 \nL 163.789554 189.806197 \nL 161.711867 190.207189 \nL 159.456332 190.396458 \nL 157.016159 190.351835 \nL 154.384893 190.048449 \nL 151.556798 189.458642 \nL 148.527366 188.552019 \nL 145.293903 187.295622 \nL 141.856251 185.654366 \nL 138.217656 183.591722 \nL 134.385766 181.070843 \nL 130.373806 178.056118 \nL 126.201856 174.515377 \nL 121.898271 170.42272 \nL 117.50114 165.762113 \nL 113.059716 160.531682 \nL 108.635602 154.748598 \nL 104.303661 148.454264 \nL 100.152198 141.719288 \nL 96.282332 134.647535 \nL 92.806106 127.378313 \nL 89.843174 120.085605 \nL 87.515825 112.97335 \nL 85.942435 106.266046 \nL 85.229555 100.194697 \nL 85.463309 94.978954 \nL 86.700944 90.807467 \nL 88.963742 87.819412 \nL 92.23238 86.090333 \nL 96.445774 85.625144 \nL 101.503785 86.359919 \nL 107.273756 88.172008 \nL 113.599918 90.896592 \nL 120.314466 94.346255 \nL 127.248776 98.330156 \nL 134.243398 102.669942 \nL 141.155895 107.210624 \nL 147.865948 111.826317 \nL 154.277881 116.421282 \nL 160.320863 120.927722 \nL 165.947389 125.301613 \nL 171.130626 129.517758 \nL 175.861189 133.564927 \nL 180.143736 137.441588 \nL 183.993722 141.152418 \nL 187.434454 144.705664 \nL 190.494583 148.111252 \nL 193.206013 151.379547 \nL 195.602242 154.520535 \nL 197.717087 157.543388 \nL 199.58373 160.456286 \nL 201.234054 163.266329 \nL 204.004275 168.60126 \nL 206.244078 173.586173 \nL 208.999946 180.462177 \nL 211.455799 186.659857 \nL 213.114438 190.424182 \nL 214.899191 193.890868 \nL 216.893875 197.047366 \nL 217.995213 198.502492 \nL 219.179393 199.870278 \nL 220.456778 201.145535 \nL 221.838047 202.321872 \nL 223.334279 203.391517 \nL 224.957033 204.345084 \nL 226.718397 205.171305 \nL 228.631022 205.856742 \nL 230.708119 206.385443 \nL 232.963434 206.738565 \nL 235.41116 206.893974 \nL 238.065799 206.825781 \nL 240.941939 206.50392 \nL 244.053961 205.893678 \nL 247.415577 204.955318 \nL 251.039263 203.643794 \nL 254.935482 201.908646 \nL 259.111678 199.694194 \nL 263.571026 196.940212 \nL 268.310853 193.583194 \nL 273.320733 189.558542 \nL 278.580237 184.803881 \nL 284.056334 179.263815 \nL 289.700542 172.896346 \nL 295.445964 165.681133 \nL 301.204466 157.62943 \nL 306.864381 148.795297 \nL 312.289258 139.286952 \nL 317.318386 129.276633 \nL 321.769787 119.00638 \nL 325.446467 108.786856 \nL 328.146405 98.986186 \nL 329.676266 90.006846 \nL 329.868183 82.250886 \nL 328.597745 76.076741 \nL 325.800817 71.754668 \nL 321.485934 69.429786 \nL 315.739517 69.102045 \nL 308.722017 70.628653 \nL 300.655021 73.749188 \nL 291.801322 78.126916 \nL 282.441389 83.396634 \nL 272.850248 89.208144 \nL 263.278221 95.258064 \nL 244.995695 107.183491 \nL 228.750078 118.030035 \nL 215.030433 127.448381 \nL 203.83964 135.512495 \nL 194.899571 142.441635 \nL 187.808984 148.456491 \nL 182.142414 153.726954 \nL 175.457722 160.46724 \nL 169.976674 165.950342 \nL 166.56425 168.913361 \nL 164.855165 170.176944 \nL 163.116778 171.287225 \nL 161.331391 172.236428 \nL 159.483364 173.015363 \nL 157.558994 173.61346 \nL 155.546426 174.018755 \nL 153.435635 174.217947 \nL 151.21846 174.196458 \nL 148.888687 173.938546 \nL 146.442219 173.427518 \nL 143.877311 172.646005 \nL 141.194859 171.576381 \nL 138.398773 170.201337 \nL 135.496414 168.504615 \nL 132.499068 166.471973 \nL 129.422489 164.092345 \nL 126.287415 161.359282 \nL 123.120087 158.272569 \nL 119.952686 154.840027 \nL 116.823617 151.079436 \nL 113.777635 147.020388 \nL 110.865619 142.705928 \nL 108.143976 138.193749 \nL 105.67359 133.556645 \nL 103.518235 128.881898 \nL 101.742402 124.269443 \nL 100.408615 119.828533 \nL 99.574278 115.67301 \nL 99.288295 111.915288 \nL 99.587633 108.659566 \nL 100.494293 105.99497 \nL 102.012878 103.989333 \nL 104.129173 102.684622 \nL 106.809974 102.094422 \nL 110.004255 102.204086 \nL 113.645563 102.973376 \nL 117.655511 104.341175 \nL 121.947939 106.231565 \nL 126.433338 108.560403 \nL 131.023159 111.241581 \nL 135.633541 114.192258 \nL 140.188339 117.336757 \nL 144.621208 120.609026 \nL 148.87681 123.953719 \nL 152.911184 127.326222 \nL 156.691453 130.691847 \nL 160.195011 134.024626 \nL 163.408391 137.305845 \nL 166.325934 140.522597 \nL 168.948408 143.666428 \nL 171.281657 146.732199 \nL 173.335344 149.717102 \nL 175.121824 152.619919 \nL 176.655181 155.440437 \nL 177.950412 158.179042 \nL 179.022752 160.836401 \nL 179.887154 163.413259 \nL 180.55788 165.910293 \nL 181.048192 168.328017 \nL 181.370144 170.666697 \nL 181.534429 172.926323 \nL 181.550299 175.106554 \nL 181.425517 177.206669 \nL 181.166346 179.225539 \nL 180.777567 181.16157 \nL 180.262512 183.012629 \nL 179.623103 184.776003 \nL 178.859902 186.44828 \nL 177.972169 188.025266 \nL 176.957914 189.501873 \nL 175.813961 190.871972 \nL 174.536004 192.128235 \nL 173.118674 193.261967 \nL 171.555613 194.262897 \nL 169.839558 195.118949 \nL 167.962436 195.816009 \nL 165.915495 196.337639 \nL 163.689461 196.664815 \nL 161.274723 196.775618 \nL 158.661609 196.644975 \nL 155.840708 196.244394 \nL 152.803278 195.541794 \nL 149.541795 194.501418 \nL 146.050601 193.083939 \nL 142.326736 191.246789 \nL 138.370943 188.944861 \nL 134.188868 186.131657 \nL 129.792487 182.761107 \nL 125.201731 178.790096 \nL 120.446308 174.181975 \nL 115.567632 168.911057 \nL 110.620767 162.968231 \nL 105.676203 156.367483 \nL 100.821214 149.153015 \nL 96.160451 141.406356 \nL 91.815386 133.25232 \nL 87.922144 124.862564 \nL 84.62734 116.454976 \nL 82.08161 108.287443 \nL 80.430871 100.644675 \nL 79.805621 93.818252 \nL 80.309265 88.081084 \nL 82.00677 83.659744 \nL 84.915364 80.709067 \nL 88.999032 79.294333 \nL 94.168108 79.384811 \nL 100.284523 80.860647 \nL 107.172111 83.531478 \nL 114.630545 87.162783 \nL 122.450707 91.504368 \nL 130.42939 96.315817 \nL 138.38138 101.385222 \nL 146.147966 106.539778 \nL 153.601568 111.649043 \nL 160.646868 116.622435 \nL 167.219259 121.40336 \nL 173.281491 125.961951 \nL 178.819357 130.287776 \nL 183.837128 134.383483 \nL 188.353156 138.259673 \nL 192.395946 141.931113 \nL 196.000811 145.414093 \nL 199.207153 148.724689 \nL 202.056331 151.877787 \nL 204.590042 154.886534 \nL 208.872856 160.514064 \nL 212.359815 165.675069 \nL 221.783808 180.490603 \nL 224.437368 183.797114 \nL 225.846421 185.281095 \nL 227.329784 186.644252 \nL 228.901183 187.878937 \nL 230.573824 188.975985 \nL 232.360487 189.924559 \nL 234.273597 190.711925 \nL 236.325244 191.32326 \nL 238.527168 191.741428 \nL 240.890668 191.946764 \nL 243.426462 191.916869 \nL 246.144464 191.626441 \nL 249.053463 191.047177 \nL 252.160715 190.147766 \nL 255.471387 188.894046 \nL 258.987879 187.249381 \nL 262.708994 185.175319 \nL 266.628922 182.632703 \nL 270.736068 179.583214 \nL 275.01172 175.991598 \nL 279.428544 171.828589 \nL 283.94907 167.074669 \nL 288.524133 161.724579 \nL 293.091498 155.792545 \nL 297.574856 149.317913 \nL 301.883429 142.370684 \nL 305.912521 135.056128 \nL 309.545316 127.517576 \nL 312.656235 119.936038 \nL 315.116094 112.525633 \nL 316.799005 105.523838 \nL 317.590814 99.176599 \nL 317.3984 93.719003 \nL 316.158894 89.353866 \nL 313.847527 86.231241 \nL 310.482834 84.432684 \nL 306.128111 83.963298 \nL 300.888582 84.753573 \nL 294.904417 86.670495 \nL 288.340492 89.535833 \nL 281.374389 93.147748 \nL 274.184227 97.301832 \nL 266.93788 101.808357 \nL 259.784633 106.503891 \nL 252.849796 111.257117 \nL 246.232194 115.969592 \nL 240.00415 120.572925 \nL 234.21328 125.023977 \nL 228.885468 129.299338 \nL 224.028423 133.389991 \nL 219.635339 137.296689 \nL 215.688383 141.026267 \nL 212.161781 144.588891 \nL 209.024463 147.996116 \nL 206.242222 151.259606 \nL 203.779407 154.390367 \nL 201.600234 157.39836 \nL 199.669725 160.292287 \nL 196.422581 165.766627 \nL 193.794064 170.859499 \nL 190.563799 177.847462 \nL 187.697432 184.098955 \nL 185.770358 187.863006 \nL 183.704293 191.294589 \nL 181.403297 194.373276 \nL 180.136135 195.770204 \nL 178.776132 197.06474 \nL 177.311879 198.249715 \nL 175.731759 199.316478 \nL 174.023875 200.254658 \nL 172.176002 201.051908 \nL 170.175562 201.693618 \nL 168.009651 202.162592 \nL 165.665091 202.4387 \nL 163.128562 202.498508 \nL 160.386784 202.314909 \nL 157.426792 201.85676 \nL 154.236315 201.088579 \nL 150.804305 199.970324 \nL 147.121602 198.457343 \nL 143.181798 196.500598 \nL 138.982338 194.04724 \nL 134.525863 191.041726 \nL 129.821823 187.427683 \nL 124.888409 183.150668 \nL 119.754718 178.16209 \nL 114.463161 172.42452 \nL 109.071955 165.918387 \nL 103.657485 158.650123 \nL 98.316319 150.661303 \nL 93.166328 142.038087 \nL 88.346502 132.919621 \nL 84.014784 123.503613 \nL 80.343374 114.046776 \nL 77.511015 104.85777 \nL 75.692202 96.280942 \nL 75.043703 88.670411 \nL 75.689589 82.356507 \nL 77.706622 77.608865 \nL 81.112254 74.603081 \nL 85.857863 73.398082 \nL 91.828815 73.929888 \nL 98.85212 76.023845 \nL 106.710675 79.422565 \nL 115.161877 83.822972 \nL 123.95749 88.914234 \nL 132.861777 94.409446 \nL 141.665625 100.066705 \nL 158.317611 111.173559 \nL 172.995079 121.354678 \nL 185.338878 130.347036 \nL 190.637275 134.410239 \nL 195.388392 138.211025 \nL 199.63143 141.772707 \nL 203.411391 145.11817 \nL 206.776224 148.268408 \nL 212.454805 154.053547 \nL 217.042244 159.240032 \nL 228.94118 173.382664 \nL 230.508866 174.901966 \nL 232.111664 176.285662 \nL 233.76728 177.526864 \nL 235.491868 178.617232 \nL 237.300193 179.546916 \nL 239.20573 180.304447 \nL 241.220741 180.876645 \nL 243.356284 181.248554 \nL 245.622169 181.40338 \nL 248.026845 181.322434 \nL 250.577218 180.985221 \nL 253.278389 180.369505 \nL 256.133288 179.45159 \nL 259.142254 178.206696 \nL 262.30247 176.609548 \nL 265.607329 174.635258 \nL 269.045705 172.260461 \nL 272.60112 169.46484 \nL 276.250891 166.233023 \nL 279.965251 162.556933 \nL 283.706519 158.438435 \nL 287.428406 153.892366 \nL 291.075608 148.949584 \nL 294.583738 143.659918 \nL 297.879857 138.094535 \nL 300.883683 132.347312 \nL 303.509627 126.53456 \nL 305.669815 120.792707 \nL 307.278005 115.273496 \nL 308.254308 110.13655 \nL 308.530478 105.539717 \nL 308.055228 101.62788 \nL 306.799087 98.521614 \nL 304.758166 96.307184 \nL 301.956198 95.029504 \nL 298.444482 94.68919 \nL 294.299567 95.244361 \nL 289.61888 96.616699 \nL 284.514763 98.700893 \nL 279.10765 101.375561 \nL 273.51913 104.514321 \nL 267.865658 107.99516 \nL 262.253466 111.707609 \nL 256.774905 115.55706 \nL 251.506345 119.46655 \nL 246.507496 123.376614 \nL 241.821843 127.24364 \nL 237.477943 131.037505 \nL 233.49124 134.738905 \nL 229.866133 138.336807 \nL 226.598109 141.826177 \nL 223.675776 145.206105 \nL 221.082703 148.478331 \nL 218.799019 151.646178 \nL 216.802761 154.713774 \nL 215.070978 157.685529 \nL 213.580586 160.565821 \nL 212.309035 163.358787 \nL 211.234793 166.068254 \nL 210.33768 168.697691 \nL 209.599093 171.250208 \nL 208.531606 176.135349 \nL 207.917965 180.74264 \nL 207.670764 185.087367 \nL 207.727152 189.181883 \nL 208.04578 193.035998 \nL 208.603812 196.657038 \nL 209.394383 200.049514 \nL 210.424721 203.214479 \nL 211.714948 206.148438 \nL 213.297571 208.841799 \nL 214.212091 210.093031 \nL 215.217589 211.276528 \nL 216.321745 212.388175 \nL 217.533122 213.422846 \nL 218.861204 214.374216 \nL 220.316435 215.234529 \nL 221.910253 215.994347 \nL 223.655127 216.642236 \nL 225.564569 217.164415 \nL 227.653142 217.544324 \nL 229.936435 217.762157 \nL 232.430992 217.794322 \nL 235.154202 217.612834 \nL 238.124096 217.184658 \nL 241.359071 216.471026 \nL 244.877456 215.426741 \nL 248.696931 213.99954 \nL 252.83371 212.129612 \nL 257.301476 209.749376 \nL 262.109948 206.783706 \nL 267.263072 203.150889 \nL 272.756731 198.764584 \nL 278.575932 193.537248 \nL 284.691419 187.385484 \nL 291.055826 180.237753 \nL 297.599367 172.04497 \nL 304.225505 162.794006 \nL 310.806897 152.523908 \nL 317.182461 141.343533 \nL 323.15653 129.448443 \nL 328.50123 117.133206 \nL 332.963536 104.794322 \nL 336.277841 92.918211 \nL 338.184737 82.050144 \nL 338.454968 72.742857 \nL 336.916244 65.489891 \nL 333.478849 60.654768 \nL 328.154837 58.412571 \nL 321.065815 58.720184 \nL 312.436198 61.325443 \nL 302.572243 65.813914 \nL 291.830451 71.680462 \nL 280.581756 78.40606 \nL 257.927765 92.649396 \nL 236.8139 105.947864 \nL 218.470243 117.212996 \nL 177.394891 142.089793 \nL 158.545423 154.089562 \nL 154.769551 156.037507 \nL 152.980583 156.781095 \nL 151.22762 157.368803 \nL 149.492588 157.797617 \nL 147.760654 158.063811 \nL 146.020036 158.163154 \nL 144.261833 158.091175 \nL 142.479916 157.843413 \nL 140.670823 157.415678 \nL 138.833716 156.804374 \nL 136.970334 156.006836 \nL 135.084994 155.021713 \nL 133.184586 153.849362 \nL 131.278551 152.492312 \nL 129.3789 150.955709 \nL 127.500137 149.247793 \nL 125.659188 147.380332 \nL 123.875241 145.368991 \nL 122.169534 143.233657 \nL 120.565019 140.998594 \nL 119.085932 138.692418 \nL 117.757268 136.347897 \nL 116.604115 134.001467 \nL 115.650905 131.692473 \nL 114.920551 129.462189 \nL 114.433565 127.352541 \nL 114.207145 125.404674 \nL 114.254304 123.657394 \nL 114.583104 122.145637 \nL 115.196038 120.898996 \nL 116.089634 119.940552 \nL 117.254299 119.285969 \nL 118.674454 118.943069 \nL 120.328912 118.911782 \nL 122.191581 119.184614 \nL 124.232316 119.747415 \nL 126.41795 120.580488 \nL 128.713447 121.659876 \nL 131.083004 122.958711 \nL 133.491161 124.448508 \nL 135.903772 126.100375 \nL 138.288814 127.885974 \nL 140.617013 129.778308 \nL 142.862314 131.752246 \nL 145.002115 133.784871 \nL 147.017362 135.855601 \nL 148.892491 137.946184 \nL 150.615249 140.040587 \nL 152.176425 142.12478 \nL 153.569529 144.186525 \nL 154.790433 146.215082 \nL 155.836993 148.200969 \nL 156.70869 150.135706 \nL 157.406285 152.01157 \nL 157.931493 153.821407 \nL 158.286701 155.558409 \nL 158.474721 157.215964 \nL 158.498598 158.787511 \nL 158.361422 160.266387 \nL 158.066219 161.645714 \nL 157.615855 162.918316 \nL 157.012978 164.076594 \nL 156.26001 165.112473 \nL 155.359148 166.01731 \nL 154.312424 166.781847 \nL 153.121767 167.396175 \nL 151.78912 167.849716 \nL 150.316573 168.131249 \nL 148.706538 168.228922 \nL 146.961953 168.130384 \nL 145.086508 167.822908 \nL 143.084934 167.293611 \nL 140.963291 166.529759 \nL 138.729306 165.519155 \nL 136.392741 164.250665 \nL 133.965773 162.714825 \nL 131.463365 160.904619 \nL 128.903679 158.816374 \nL 126.308407 156.450767 \nL 123.703062 153.813913 \nL 121.117195 150.918547 \nL 118.584448 147.785105 \nL 116.142442 144.442733 \nL 113.832418 140.930041 \nL 111.698649 137.295439 \nL 109.787462 133.596951 \nL 108.146025 129.901367 \nL 106.820715 126.282583 \nL 105.855286 122.819174 \nL 105.288783 119.591168 \nL 105.153423 116.676257 \nL 105.47252 114.145734 \nL 106.258703 112.060479 \nL 107.512572 110.467391 \nL 109.221984 109.396808 \nL 111.362055 108.861096 \nL 113.895953 108.854638 \nL 116.776391 109.355148 \nL 119.947757 110.326174 \nL 123.348653 111.720473 \nL 126.914661 113.483692 \nL 130.581037 115.558087 \nL 134.285205 117.885881 \nL 137.96884 120.411916 \nL 141.579465 123.08565 \nL 145.071525 125.862377 \nL 148.40693 128.703725 \nL 151.55518 131.577661 \nL 154.493077 134.458091 \nL 157.204187 137.324234 \nL 159.678109 140.159817 \nL 161.909633 142.95232 \nL 163.897857 145.692192 \nL 165.64532 148.372205 \nL 167.157187 150.986834 \nL 168.440515 153.531805 \nL 169.503587 156.003684 \nL 170.355363 158.399551 \nL 171.005005 160.716784 \nL 171.461501 162.952832 \nL 171.733356 165.105056 \nL 171.828364 167.170621 \nL 171.753443 169.146367 \nL 171.514502 171.028705 \nL 171.116383 172.813507 \nL 170.562813 174.496029 \nL 169.856397 176.070788 \nL 168.998644 177.531455 \nL 167.990005 178.870742 \nL 166.829938 180.080263 \nL 165.516989 181.150419 \nL 164.048896 182.070218 \nL 162.422727 182.827176 \nL 160.635028 183.407124 \nL 158.682008 183.794108 \nL 156.559771 183.970243 \nL 154.26459 183.915668 \nL 151.793228 183.608466 \nL 149.143333 183.024766 \nL 146.313914 182.138865 \nL 143.305887 180.923571 \nL 140.122726 179.350731 \nL 136.771216 177.391994 \nL 133.262306 175.019955 \nL 129.612038 172.209629 \nL 125.842584 168.940409 \nL 121.983288 165.198481 \nL 118.071689 160.979715 \nL 114.15444 156.292986 \nL 110.288003 151.163705 \nL 106.538948 145.637369 \nL 102.983703 139.782649 \nL 99.70759 133.693545 \nL 96.802878 127.489921 \nL 94.365823 121.315776 \nL 92.492575 115.334717 \nL 91.274063 109.722287 \nL 90.79012 104.655538 \nL 91.103331 100.300267 \nL 92.253224 96.797742 \nL 94.251544 94.252419 \nL 97.079352 92.722762 \nL 100.686492 92.216805 \nL 104.993714 92.693197 \nL 109.897302 94.067728 \nL 115.275659 96.223883 \nL 120.997082 99.025721 \nL 126.927748 102.330913 \nL 132.939037 106.001994 \nL 138.913518 109.914858 \nL 144.749231 113.963955 \nL 150.36214 118.064312 \nL 155.68693 122.151247 \nL 160.67649 126.178307 \nL 165.300386 130.114382 \nL 169.542782 133.940502 \nL 173.400038 137.646835 \nL 176.878294 141.230007 \nL 179.991171 144.690967 \nL 182.757711 148.033321 \nL 185.200604 151.262149 \nL 187.344706 154.383164 \nL 189.21585 157.402163 \nL 190.839921 160.324722 \nL 192.242153 163.156006 \nL 193.446632 165.9007 \nL 194.475949 168.563018 \nL 196.090852 173.655128 \nL 197.232133 178.45785 \nL 198.016395 182.991894 \nL 198.534076 187.274673 \nL 198.954381 193.26037 \nL 199.079266 198.759183 \nL 198.997678 203.81049 \nL 198.752349 208.449436 \nL 198.353501 212.7073 \nL 197.78672 216.611313 \nL 197.016174 220.183949 \nL 196.361755 222.38993 \nL 195.56845 224.458694 \nL 194.607256 226.390552 \nL 193.442253 228.182484 \nL 192.0292 229.826775 \nL 190.313814 231.308957 \nL 188.229697 232.604752 \nL 185.695913 233.67556 \nL 184.230468 234.109037 \nL 182.614289 234.461811 \nL 180.831947 234.721571 \nL 178.866598 234.873258 \nL 176.699911 234.898513 \nL 174.312043 234.775015 \nL 171.681635 234.475705 \nL 168.785872 233.967904 \nL 165.600629 233.212298 \nL 162.100727 232.161821 \nL 158.260345 230.760447 \nL 154.053654 228.941975 \nL 149.455747 226.62888 \nL 144.443907 223.731427 \nL 138.999411 220.147279 \nL 133.109887 215.762018 \nL 126.772464 210.451078 \nL 119.997729 204.083819 \nL 112.814738 196.53063 \nL 105.276928 187.674101 \nL 97.469007 177.425217 \nL 89.51427 165.745241 \nL 81.581766 152.673184 \nL 73.892006 138.356995 \nL 66.719474 123.0844 \nL 60.389599 107.306019 \nL 55.267615 91.640531 \nL 51.736986 76.850246 \nL 50.166743 63.777975 \nL 50.869341 53.244706 \nL 54.054648 45.921507 \nL 59.788831 42.204503 \nL 67.969156 42.130657 \nL 78.323328 45.365583 \nL 90.436697 51.2723 \nL 103.802466 59.040114 \nL 117.88303 67.832176 \nL 132.168383 76.908812 \nL 146.220075 85.700788 \nL 159.695524 93.829524 \nL 172.35361 101.088006 \nL 184.046445 107.401808 \nL 194.703486 112.786277 \nL 204.313091 117.309658 \nL 212.905058 121.06565 \nL 220.53587 124.155334 \nL 227.277224 126.676521 \nL 233.207666 128.718345 \nL 238.406828 130.359155 \nL 246.914401 132.69733 \nL 253.351094 134.116578 \nL 258.167969 134.920975 \nL 263.10688 135.43739 \nL 268.074523 135.817316 \nL 268.009259 136.084453 \nL 267.243705 136.997683 \nL 265.740322 138.770812 \nL 264.59895 140.483995 \nL 263.981168 141.786051 \nL 263.664706 142.98538 \nL 263.647083 143.677964 \nL 263.792495 144.253074 \nL 264.100822 144.68665 \nL 264.565717 144.958325 \nL 265.174829 145.05217 \nL 265.91003 144.95752 \nL 266.747669 144.669897 \nL 268.131814 143.884488 \nL 269.564143 142.715666 \nL 270.911284 141.250648 \nL 272.033266 139.619721 \nL 272.798345 137.987372 \nL 273.05641 136.987645 \nL 273.087179 136.120262 \nL 272.880683 135.432277 \nL 272.439244 134.961838 \nL 271.777941 134.735436 \nL 270.924029 134.766141 \nL 269.915361 135.053173 \nL 268.797951 135.582615 \nL 267.622982 136.329132 \nL 265.868757 137.77893 \nL 264.276779 139.497981 \nL 262.995986 141.331628 \nL 262.372871 142.540918 \nL 261.963426 143.688079 \nL 261.783527 144.731572 \nL 261.841171 145.632898 \nL 262.136805 146.356975 \nL 262.66359 146.872722 \nL 263.407606 147.153716 \nL 264.347915 147.179128 \nL 265.456536 146.934988 \nL 266.698372 146.415687 \nL 268.031261 145.625678 \nL 269.406268 144.581243 \nL 270.768441 143.311948 \nL 272.058186 141.861584 \nL 273.213446 140.288007 \nL 274.172751 138.661679 \nL 274.879017 137.062502 \nL 275.283889 135.574975 \nL 275.352152 134.282084 \nL 275.065656 133.258453 \nL 274.789071 132.867041 \nL 274.42605 132.563924 \nL 273.980077 132.353436 \nL 272.85943 132.220433 \nL 271.478611 132.473608 \nL 269.904011 133.096278 \nL 268.21188 134.052667 \nL 266.482657 135.292457 \nL 264.795559 136.755788 \nL 263.22398 138.377936 \nL 261.832111 140.093106 \nL 260.67295 141.837114 \nL 259.78749 143.548944 \nL 259.204902 145.171503 \nL 258.943292 146.651767 \nL 259.010754 147.940624 \nL 259.40635 148.992708 \nL 260.12087 149.766443 \nL 261.137192 150.224481 \nL 262.430204 150.334684 \nL 263.96633 150.071762 \nL 265.702754 149.419629 \nL 267.586586 148.374457 \nL 269.554226 146.948221 \nL 271.531307 145.172351 \nL 273.433609 143.100902 \nL 275.169476 140.812327 \nL 276.643931 138.408914 \nL 277.764681 136.012894 \nL 278.44965 133.758886 \nL 278.60794 132.727932 \nL 278.635398 131.782883 \nL 278.52832 130.938787 \nL 278.285064 130.209134 \nL 277.906195 129.605478 \nL 277.394535 129.137138 \nL 276.755151 128.810973 \nL 275.995306 128.631258 \nL 275.124299 128.599628 \nL 274.153273 128.715167 \nL 273.094936 128.974527 \nL 270.773273 129.900596 \nL 268.280604 131.312247 \nL 265.742586 133.123471 \nL 263.279431 135.238062 \nL 260.998235 137.558095 \nL 258.988202 139.989857 \nL 257.318683 142.447091 \nL 256.039526 144.851959 \nL 255.183039 147.134531 \nL 254.766713 149.231409 \nL 254.796083 151.084096 \nL 254.97697 151.901538 \nL 255.267139 152.63746 \nL 255.664885 153.285327 \nL 256.168062 153.838708 \nL 256.774089 154.291298 \nL 257.479946 154.63693 \nL 258.28213 154.869619 \nL 259.176616 154.983616 \nL 260.158799 154.973501 \nL 261.223427 154.834263 \nL 262.364513 154.561449 \nL 263.575257 154.151323 \nL 266.173921 152.908827 \nL 268.945374 151.098536 \nL 271.797293 148.737536 \nL 274.617842 145.876421 \nL 277.276544 142.606662 \nL 279.628389 139.064944 \nL 280.641846 137.247005 \nL 281.521902 135.431832 \nL 282.250637 133.647321 \nL 282.811484 131.922446 \nL 283.189758 130.286483 \nL 283.373221 128.768132 \nL 283.35257 127.394594 \nL 283.121926 126.190666 \nL 282.679181 125.177852 \nL 282.026236 124.37366 \nL 281.16911 123.790996 \nL 280.117892 123.437844 \nL 278.8865 123.317123 \nL 277.492342 123.426829 \nL 275.9558 123.760368 \nL 274.299635 124.307085 \nL 272.54832 125.052934 \nL 270.727324 125.981213 \nL 268.862428 127.073346 \nL 265.101703 129.669826 \nL 261.455566 132.682461 \nL 258.085372 135.959655 \nL 255.117196 139.367453 \nL 252.64072 142.792535 \nL 250.712705 146.140774 \nL 249.964562 147.761012 \nL 249.363011 149.333493 \nL 248.90872 150.850045 \nL 248.601525 152.302884 \nL 248.440606 153.684524 \nL 248.424643 154.987608 \nL 248.551946 156.204863 \nL 248.820551 157.328968 \nL 249.2283 158.352496 \nL 249.772875 159.26786 \nL 250.451831 160.067255 \nL 251.262573 160.742624 \nL 252.202325 161.28565 \nL 253.268063 161.687785 \nL 254.456431 161.940258 \nL 255.763628 162.034171 \nL 257.185263 161.960582 \nL 258.7162 161.71067 \nL 260.350375 161.275912 \nL 262.080597 160.648352 \nL 263.898326 159.820915 \nL 265.793457 158.787777 \nL 267.754089 157.544818 \nL 269.766312 156.090138 \nL 271.813987 154.424617 \nL 273.878617 152.55254 \nL 275.939217 150.482213 \nL 277.972261 148.226603 \nL 279.951793 145.803877 \nL 281.849566 143.237845 \nL 283.635383 140.558226 \nL 285.277615 137.800651 \nL 286.743816 135.006358 \nL 288.001604 132.221529 \nL 289.019641 129.4962 \nL 289.76876 126.882805 \nL 290.223196 124.434333 \nL 290.361801 122.202225 \nL 290.1692 120.23417 \nL 289.636814 118.571905 \nL 288.763603 117.249259 \nL 287.556514 116.290652 \nL 286.030543 115.710044 \nL 284.208382 115.510724 \nL 282.119686 115.685583 \nL 279.79996 116.21816 \nL 277.289238 117.084113 \nL 274.630528 118.25302 \nL 271.868235 119.690348 \nL 269.046647 121.359388 \nL 266.208521 123.222995 \nL 263.39394 125.245017 \nL 260.639375 127.391425 \nL 257.977084 129.631044 \nL 255.434731 131.935987 \nL 253.035289 134.281776 \nL 250.797125 136.647289 \nL 248.734269 139.014515 \nL 246.856798 141.368225 \nL 245.1713 143.695582 \nL 243.681376 145.985776 \nL 242.388153 148.229626 \nL 241.290781 150.419227 \nL 240.386912 152.547641 \nL 239.673112 154.608615 \nL 239.145254 156.59636 \nL 238.798825 158.505318 \nL 238.629203 160.330007 \nL 238.631879 162.064842 \nL 238.802625 163.704025 \nL 239.137616 165.24139 \nL 239.633514 166.670316 \nL 240.287521 167.983609 \nL 241.097379 169.173406 \nL 242.061354 170.231073 \nL 243.178173 171.147139 \nL 244.446952 171.911197 \nL 245.867069 172.511872 \nL 247.438025 172.936738 \nL 249.159246 173.172347 \nL 251.02988 173.204234 \nL 253.048535 173.01699 \nL 255.212966 172.59442 \nL 257.519738 171.91977 \nL 259.96383 170.976074 \nL 262.538195 169.746631 \nL 265.233263 168.215638 \nL 268.036442 166.369007 \nL 270.931534 164.195379 \nL 273.898207 161.687374 \nL 276.911453 158.842977 \nL 279.941126 155.66719 \nL 282.951588 152.173693 \nL 285.901529 148.386585 \nL 288.744043 144.341917 \nL 291.427026 140.088944 \nL 293.894012 135.690737 \nL 296.085406 131.224012 \nL 297.940311 126.777851 \nL 299.398784 122.451204 \nL 300.404572 118.349066 \nL 300.908142 114.577452 \nL 300.869794 111.237538 \nL 300.262612 108.419392 \nL 299.074943 106.196003 \nL 297.312107 104.618435 \nL 294.997073 103.712656 \nL 292.169954 103.478443 \nL 288.886336 103.890718 \nL 285.214549 104.902872 \nL 281.23214 106.451646 \nL 277.021894 108.462884 \nL 272.667847 110.857415 \nL 268.251542 113.55627 \nL 263.848888 116.484936 \nL 259.52777 119.576333 \nL 255.346485 122.772538 \nL 251.352946 126.025391 \nL 247.584602 129.296221 \nL 244.068896 132.555025 \nL 240.824116 135.779297 \nL 237.860527 138.952702 \nL 235.181589 142.063833 \nL 232.785242 145.105058 \nL 230.665106 148.071512 \nL 228.811604 150.960317 \nL 227.212959 153.769915 \nL 225.85604 156.499612 \nL 224.727079 159.149186 \nL 223.812248 161.718652 \nL 223.098122 164.208064 \nL 222.57203 166.617377 \nL 222.222318 168.946362 \nL 222.038532 171.194511 \nL 222.011546 173.360995 \nL 222.133626 175.444598 \nL 222.398476 177.443674 \nL 222.801232 179.356058 \nL 223.338451 181.179034 \nL 224.008074 182.909209 \nL 224.809387 184.542458 \nL 225.74296 186.073784 \nL 226.810594 187.497221 \nL 228.015255 188.805666 \nL 229.361002 189.990726 \nL 230.852903 191.042544 \nL 232.496947 191.949574 \nL 234.29993 192.698377 \nL 236.269329 193.27338 \nL 238.413138 193.656629 \nL 240.739663 193.82754 \nL 243.25727 193.762665 \nL 245.974063 193.43549 \nL 248.897485 192.816293 \nL 252.033817 191.872118 \nL 255.387546 190.566897 \nL 258.960621 188.861799 \nL 262.751513 186.715888 \nL 266.754135 184.087238 \nL 270.95655 180.934551 \nL 275.339517 177.219482 \nL 279.874889 172.909716 \nL 284.523894 167.982992 \nL 289.235468 162.431972 \nL 293.944682 156.269896 \nL 298.57161 149.53677 \nL 303.020814 142.305446 \nL 307.181853 134.686822 \nL 310.931146 126.832966 \nL 314.135566 118.936842 \nL 316.657965 111.227346 \nL 318.364682 103.958586 \nL 319.134727 97.39339 \nL 318.869937 91.78197 \nL 317.504988 87.33819 \nL 315.015882 84.217227 \nL 311.425436 82.498614 \nL 306.804573 82.178359 \nL 301.268854 83.171996 \nL 294.970468 85.327945 \nL 288.086799 88.448514 \nL 280.807152 92.313964 \nL 273.319612 96.705447 \nL 265.799633 101.423181 \nL 258.401423 106.29813 \nL 251.252674 111.197163 \nL 244.452393 116.022882 \nL 238.071355 120.709791 \nL 232.154425 125.218629 \nL 226.724003 129.5301 \nL 221.783966 133.639133 \nL 217.323625 137.549967 \nL 213.321417 141.272368 \nL 209.748119 144.818856 \nL 206.569554 148.202793 \nL 203.748768 151.437197 \nL 201.247729 154.534041 \nL 199.028593 157.503921 \nL 195.290783 163.09768 \nL 192.264207 168.274316 \nL 188.553402 175.332253 \nL 185.279071 181.589682 \nL 183.090018 185.31806 \nL 180.753329 188.675806 \nL 179.495791 190.207274 \nL 178.161824 191.634021 \nL 176.739092 192.949763 \nL 175.215409 194.146861 \nL 173.578635 195.216147 \nL 171.81659 196.146696 \nL 169.917011 196.925592 \nL 167.867535 197.537663 \nL 165.655734 197.965188 \nL 163.269197 198.187603 \nL 160.69566 198.181188 \nL 157.92325 197.918783 \nL 154.940773 197.369531 \nL 151.738156 196.498705 \nL 148.306996 195.267681 \nL 144.641273 193.634099 \nL 140.738255 191.552321 \nL 136.599601 188.974315 \nL 132.232697 185.851117 \nL 127.652222 182.134977 \nL 122.881946 177.782412 \nL 117.95669 172.75835 \nL 112.924422 167.041361 \nL 107.848276 160.630083 \nL 102.808295 153.550511 \nL 97.902651 145.863754 \nL 93.247841 137.673343 \nL 88.977467 129.130808 \nL 85.239131 120.437876 \nL 82.188985 111.843446 \nL 79.983776 103.633723 \nL 78.770519 96.11475 \nL 78.674471 89.587873 \nL 79.786581 84.32057 \nL 82.152137 80.51713 \nL 85.76255 78.294546 \nL 90.551949 77.668973 \nL 96.399751 78.556029 \nL 103.139136 80.785208 \nL 110.570327 84.125207 \nL 118.476642 88.314424 \nL 126.640785 93.090638 \nL 134.85925 98.214771 \nL 142.953173 103.486185 \nL 150.775036 108.749274 \nL 165.182013 118.845336 \nL 171.637412 123.566316 \nL 177.55406 128.039301 \nL 182.929771 132.263968 \nL 187.778857 136.250164 \nL 192.127732 140.013316 \nL 196.011136 143.571144 \nL 199.469018 146.941531 \nL 202.544076 150.141222 \nL 205.279865 153.185119 \nL 209.904292 158.854479 \nL 213.665142 164.026619 \nL 223.756291 178.688928 \nL 226.569352 181.893321 \nL 228.058285 183.314171 \nL 229.622415 184.605135 \nL 231.27586 185.757709 \nL 233.032035 186.761787 \nL 234.903749 187.605514 \nL 236.903249 188.275085 \nL 239.042214 188.754585 \nL 241.331716 189.025807 \nL 243.782096 189.068057 \nL 246.402766 188.858065 \nL 249.201948 188.369905 \nL 252.186288 187.575015 \nL 255.360381 186.442371 \nL 258.726158 184.938854 \nL 262.282149 183.029905 \nL 266.022579 180.680476 \nL 269.936346 177.856498 \nL 274.00582 174.526794 \nL 278.205585 170.665703 \nL 282.501063 166.256311 \nL 286.847197 161.294386 \nL 291.187289 155.792845 \nL 295.452118 149.786605 \nL 299.559613 143.337299 \nL 303.415316 136.537316 \nL 306.913915 129.512233 \nL 309.942074 122.420816 \nL 312.382782 115.451473 \nL 314.12121 108.814521 \nL 315.051884 102.730102 \nL 315.086676 97.412249 \nL 314.162876 93.050829 \nL 312.250316 89.793685 \nL 309.356412 87.732034 \nL 305.528249 86.891827 \nL 300.851088 87.232895 \nL 295.443254 88.65604 \nL 289.448022 91.016791 \nL 283.023555 94.143047 \nL 276.332286 97.85332 \nL 269.530991 101.972802 \nL 262.7627 106.345271 \nL 256.150903 110.840148 \nL 249.796336 115.35505 \nL 243.776013 119.814803 \nL 238.144087 124.168199 \nL 232.933976 128.383632 \nL 228.161242 132.444497 \nL 223.826749 136.344985 \nL 219.919821 140.086537 \nL 216.421146 143.675027 \nL 213.305337 147.118754 \nL 210.543085 150.426987 \nL 208.102902 153.609034 \nL 205.9525 156.673718 \nL 204.059824 159.629037 \nL 202.393812 162.482093 \nL 199.625414 167.905241 \nL 197.433939 172.982696 \nL 195.638652 177.743049 \nL 190.542718 192.145896 \nL 189.015045 195.645843 \nL 187.310232 198.86874 \nL 185.356863 201.800601 \nL 184.264287 203.150161 \nL 183.081816 204.416617 \nL 181.799466 205.594548 \nL 180.406736 206.67728 \nL 178.892538 207.656695 \nL 177.245124 208.522974 \nL 175.452056 209.264296 \nL 173.500163 209.866534 \nL 171.375558 210.312855 \nL 169.063667 210.58331 \nL 166.549322 210.654368 \nL 163.816904 210.498403 \nL 160.850569 210.083177 \nL 157.634591 209.371305 \nL 154.153815 208.319795 \nL 150.394285 206.879658 \nL 146.344096 204.995744 \nL 141.99447 202.606887 \nL 137.341156 199.646557 \nL 132.386163 196.044239 \nL 127.139908 191.727805 \nL 121.623757 186.627225 \nL 115.872945 180.679937 \nL 109.939866 173.838218 \nL 103.89746 166.078728 \nL 97.842509 157.414085 \nL 91.89828 147.905937 \nL 86.215992 137.678277 \nL 80.974147 126.928823 \nL 76.374966 115.935401 \nL 72.636904 105.053664 \nL 69.982782 94.702568 \nL 68.62346 85.335363 \nL 68.738221 77.396783 \nL 70.453913 71.271253 \nL 73.826163 67.231115 \nL 78.826445 65.396706 \nL 85.338252 65.718725 \nL 93.164212 67.988758 \nL 102.043491 71.87574 \nL 111.676595 76.978975 \nL 121.752956 82.884561 \nL 131.976547 89.212855 \nL 151.866368 101.959355 \nL 185.179924 123.669564 \nL 197.763246 132.105921 \nL 207.839033 139.19441 \nL 215.823414 145.209017 \nL 222.175903 150.366374 \nL 229.582132 156.795809 \nL 235.512159 161.854302 \nL 239.110778 164.487585 \nL 240.884269 165.574587 \nL 242.669103 166.501401 \nL 244.483247 167.261065 \nL 246.342123 167.845399 \nL 248.258751 168.24511 \nL 250.243831 168.44992 \nL 252.305781 168.448669 \nL 254.45073 168.22953 \nL 256.682428 167.780229 \nL 259.002139 167.088356 \nL 261.408452 166.141782 \nL 263.897042 164.929178 \nL 266.460432 163.44064 \nL 269.08766 161.668488 \nL 271.763993 159.608156 \nL 274.470619 157.259276 \nL 277.184393 154.626781 \nL 279.877643 151.722173 \nL 282.518122 148.564707 \nL 285.069107 145.182492 \nL 287.489743 141.613393 \nL 289.735631 137.90551 \nL 291.759782 134.11716 \nL 293.513866 130.316126 \nL 294.949825 126.57812 \nL 296.021812 122.984389 \nL 296.688349 119.618447 \nL 296.914591 116.562174 \nL 296.674542 113.891462 \nL 295.953037 111.671962 \nL 294.747255 109.955181 \nL 293.067633 108.775482 \nL 290.937991 108.148402 \nL 288.394844 108.070411 \nL 285.48593 108.520131 \nL 282.268037 109.460872 \nL 278.804386 110.844122 \nL 275.161711 112.613491 \nL 271.407393 114.708664 \nL 267.606792 117.069056 \nL 263.820992 119.636724 \nL 260.105059 122.358558 \nL 256.506864 125.187582 \nL 253.066466 128.083564 \nL 249.815962 131.013035 \nL 246.779753 133.948853 \nL 243.975109 136.869528 \nL 241.412933 139.758376 \nL 239.098648 142.602688 \nL 237.033135 145.392912 \nL 235.213627 148.121924 \nL 233.634592 150.784413 \nL 232.288502 153.376371 \nL 231.166525 155.894663 \nL 230.259115 158.33672 \nL 229.556503 160.700246 \nL 229.049099 162.983066 \nL 228.72781 165.182918 \nL 228.584278 167.297354 \nL 228.611065 169.323624 \nL 228.801772 171.258559 \nL 229.151123 173.098493 \nL 229.655004 174.839169 \nL 230.310477 176.47562 \nL 231.115758 178.002082 \nL 232.070184 179.411866 \nL 233.174158 180.697229 \nL 234.429074 181.849255 \nL 235.83721 182.857684 \nL 237.40163 183.710781 \nL 239.126032 184.395152 \nL 241.014589 184.895619 \nL 243.071737 185.195061 \nL 245.301936 185.274277 \nL 247.709377 185.111923 \nL 250.297615 184.684496 \nL 253.069149 183.966389 \nL 256.024899 182.930099 \nL 259.163603 181.546635 \nL 262.481104 179.786114 \nL 265.969518 177.618688 \nL 269.616313 175.015827 \nL 273.40327 171.952059 \nL 277.305383 168.407207 \nL 281.289736 164.369108 \nL 285.314412 159.836914 \nL 289.327574 154.824739 \nL 293.266825 149.365525 \nL 297.05903 143.514779 \nL 300.6208 137.353679 \nL 303.859842 130.990887 \nL 306.6774 124.562402 \nL 308.971827 118.228653 \nL 310.643411 112.168395 \nL 311.600184 106.56924 \nL 311.764428 101.61517 \nL 311.079244 97.472374 \nL 309.514435 94.274928 \nL 307.070877 92.112674 \nL 303.782627 91.0233 \nL 299.7163 90.990086 \nL 294.967558 91.945918 \nL 289.655082 93.782571 \nL 283.912778 96.363815 \nL 277.881172 99.539764 \nL 271.69907 103.160294 \nL 265.496309 107.085938 \nL 259.388234 111.195176 \nL 253.472136 115.388196 \nL 247.82559 119.587562 \nL 242.506425 123.736687 \nL 237.55393 127.796935 \nL 232.990877 131.744153 \nL 228.825998 135.565271 \nL 225.056592 139.25516 \nL 221.671056 142.814101 \nL 218.6512 146.245761 \nL 215.974265 149.555715 \nL 213.61462 152.750395 \nL 211.545145 155.836431 \nL 209.738311 158.82022 \nL 208.167007 161.707707 \nL 206.805142 164.504269 \nL 205.628055 167.214721 \nL 203.738199 172.393841 \nL 202.336067 177.27368 \nL 201.289907 181.877014 \nL 200.1657 188.303742 \nL 199.117336 196.058671 \nL 197.761854 206.144279 \nL 196.958084 210.563063 \nL 195.957339 214.599346 \nL 195.136656 217.085508 \nL 194.157404 219.410025 \nL 192.983074 221.571028 \nL 191.570131 223.561981 \nL 189.866174 225.369743 \nL 187.807885 226.971732 \nL 186.622531 227.684927 \nL 185.318721 228.331735 \nL 183.884413 228.904504 \nL 182.306417 229.393826 \nL 180.570325 229.788188 \nL 178.660443 230.073546 \nL 176.559734 230.232828 \nL 174.249796 230.245345 \nL 171.71086 230.086115 \nL 168.92186 229.725072 \nL 165.86056 229.12618 \nL 162.503795 228.246459 \nL 158.827843 227.034938 \nL 154.808998 225.431594 \nL 150.424382 223.366365 \nL 145.653096 220.758391 \nL 140.477766 217.515649 \nL 134.886634 213.535388 \nL 128.876273 208.7057 \nL 122.455042 202.908899 \nL 115.647371 196.027388 \nL 108.498927 187.95286 \nL 101.082508 178.599683 \nL 93.504481 167.923073 \nL 85.911124 155.942009 \nL 78.493955 142.765787 \nL 71.492615 128.621108 \nL 65.193458 113.874298 \nL 59.921616 99.040607 \nL 56.024625 84.771079 \nL 53.846488 71.808557 \nL 53.692904 60.909776 \nL 55.791436 52.740752 \nL 60.253192 47.76527 \nL 67.044799 46.155943 \nL 75.979017 47.757082 \nL 86.7289 52.115008 \nL 98.863989 58.568776 \nL 111.900922 66.373093 \nL 151.856006 91.415157 \nL 164.267677 98.866313 \nL 175.848308 105.525533 \nL 186.493919 111.356777 \nL 196.163672 116.389267 \nL 204.863926 120.688978 \nL 212.633743 124.338133 \nL 219.532911 127.421967 \nL 231.009271 132.207843 \nL 239.894726 135.584713 \nL 246.754801 137.943426 \nL 252.068587 139.553241 \nL 256.218758 140.597136 \nL 259.499102 141.20116 \nL 262.128116 141.455552 \nL 264.263418 141.428924 \nL 266.014933 141.177599 \nL 267.456184 140.751457 \nL 268.633714 140.197485 \nL 269.574936 139.5616 \nL 270.573814 138.553163 \nL 271.095993 137.609964 \nL 271.18732 137.083974 \nL 271.08235 136.679646 \nL 270.79434 136.422942 \nL 270.34239 136.331444 \nL 269.751577 136.413641 \nL 268.672663 136.858514 \nL 267.469048 137.652077 \nL 266.267431 138.720553 \nL 265.189734 139.965936 \nL 264.341702 141.27749 \nL 263.804877 142.541663 \nL 263.632111 143.649683 \nL 263.731558 144.25256 \nL 264.002584 144.716644 \nL 264.438425 145.020198 \nL 265.026559 145.145929 \nL 265.748799 145.081779 \nL 266.58151 144.82182 \nL 267.495846 144.367191 \nL 268.945708 143.342558 \nL 270.372907 141.9704 \nL 271.635728 140.364131 \nL 272.593489 138.67755 \nL 273.000737 137.596988 \nL 273.189425 136.615899 \nL 273.14159 135.786552 \nL 272.851005 135.154426 \nL 272.324305 134.754827 \nL 271.581131 134.610356 \nL 270.653159 134.729578 \nL 269.582174 135.106951 \nL 268.41733 135.723994 \nL 267.211949 136.551363 \nL 265.44607 138.102808 \nL 263.882322 139.893495 \nL 262.665023 141.764896 \nL 262.100376 142.979916 \nL 261.759495 144.117365 \nL 261.655731 145.136105 \nL 261.794558 145.998204 \nL 262.173917 146.669359 \nL 262.784479 147.11944 \nL 263.609804 147.323273 \nL 264.626364 147.261692 \nL 265.803478 146.922912 \nL 267.103215 146.30413 \nL 268.480516 145.413356 \nL 269.883545 144.271188 \nL 271.254648 142.912185 \nL 272.531981 141.385595 \nL 273.652012 139.754822 \nL 274.552867 138.095408 \nL 275.178495 136.491238 \nL 275.483214 135.029055 \nL 275.436174 133.791852 \nL 275.276094 133.280773 \nL 275.025067 132.851787 \nL 274.684843 132.511191 \nL 274.258518 132.263899 \nL 273.750517 132.113364 \nL 272.513275 132.108825 \nL 271.031382 132.495269 \nL 269.376769 133.248423 \nL 267.629499 134.325961 \nL 265.871964 135.672443 \nL 264.183493 137.224496 \nL 262.63605 138.915343 \nL 261.291281 140.678339 \nL 260.19891 142.449249 \nL 259.396355 144.167537 \nL 258.909194 145.776821 \nL 258.752128 147.224812 \nL 258.93009 148.46312 \nL 259.439227 149.447062 \nL 260.26757 150.135792 \nL 261.395238 150.492884 \nL 262.794226 150.487506 \nL 264.427758 150.096325 \nL 266.249429 149.306179 \nL 268.202312 148.117385 \nL 270.218395 146.547516 \nL 272.218733 144.63515 \nL 274.114762 142.44286 \nL 275.811264 140.058461 \nL 277.211176 137.593554 \nL 278.222294 135.178356 \nL 278.765489 132.952766 \nL 278.842593 131.954444 \nL 278.783341 131.054027 \nL 278.585255 130.265979 \nL 278.24806 129.6029 \nL 277.773804 129.07518 \nL 277.166867 128.690749 \nL 276.433908 128.454891 \nL 275.583746 128.370194 \nL 274.627165 128.436554 \nL 273.576682 128.651317 \nL 271.250832 129.503951 \nL 268.728633 130.865018 \nL 266.13878 132.648827 \nL 263.605751 134.757756 \nL 261.241528 137.091502 \nL 259.140176 139.553575 \nL 257.375447 142.05502 \nL 256.000882 144.515654 \nL 255.051672 146.863669 \nL 254.547472 149.034221 \nL 254.495402 150.967726 \nL 254.638375 151.827992 \nL 254.892688 152.608202 \nL 255.256755 153.30172 \nL 255.728572 153.902002 \nL 256.305708 154.402606 \nL 256.985299 154.797212 \nL 257.764022 155.079645 \nL 258.638053 155.243935 \nL 259.603015 155.284387 \nL 260.653902 155.195664 \nL 261.785015 154.972928 \nL 262.989859 154.611972 \nL 264.261057 154.109415 \nL 266.968025 152.671256 \nL 269.825756 150.655975 \nL 272.734744 148.089352 \nL 275.575261 145.033987 \nL 278.209059 141.59634 \nL 280.484624 137.929954 \nL 281.439379 136.071177 \nL 282.246829 134.232031 \nL 282.8893 132.441944 \nL 283.35084 130.731022 \nL 283.617761 129.129147 \nL 283.679209 127.665045 \nL 283.527681 126.365311 \nL 283.159405 125.253479 \nL 282.574701 124.349199 \nL 281.778096 123.667569 \nL 280.778365 123.218687 \nL 279.588349 123.007419 \nL 278.224655 123.033456 \nL 276.707153 123.291582 \nL 275.058426 123.772154 \nL 273.303051 124.461783 \nL 271.466912 125.344078 \nL 269.576436 126.400435 \nL 267.657922 127.610856 \nL 263.837568 130.411101 \nL 260.191702 133.58192 \nL 256.873819 136.973539 \nL 253.999886 140.456502 \nL 251.64908 143.922824 \nL 249.868581 147.283387 \nL 249.199858 148.900225 \nL 248.680396 150.463473 \nL 248.310186 151.965251 \nL 248.088517 153.398006 \nL 248.014129 154.754379 \nL 248.085358 156.027101 \nL 248.300257 157.208889 \nL 248.656679 158.292371 \nL 249.152324 159.270009 \nL 249.784793 160.134035 \nL 250.55156 160.876441 \nL 251.449966 161.488919 \nL 252.477155 161.962895 \nL 253.629996 162.289522 \nL 254.904973 162.459756 \nL 256.298059 162.464433 \nL 257.804563 162.294387 \nL 259.418944 161.940644 \nL 261.134613 161.394646 \nL 262.94372 160.648523 \nL 264.836921 159.695474 \nL 266.803142 158.530182 \nL 268.829336 157.149321 \nL 270.900283 155.552122 \nL 272.998369 153.740983 \nL 275.103462 151.722122 \nL 277.192811 149.506262 \nL 279.241066 147.109222 \nL 281.220382 144.552491 \nL 283.100703 141.863562 \nL 284.850162 139.07613 \nL 286.435682 136.229926 \nL 287.823769 133.370232 \nL 288.981464 130.546947 \nL 289.877457 127.813259 \nL 290.48334 125.223888 \nL 290.774868 122.833023 \nL 290.733239 120.69201 \nL 290.346205 118.847015 \nL 289.609029 117.33686 \nL 288.525105 116.19118 \nL 287.106175 115.429101 \nL 285.372201 115.058657 \nL 283.350736 115.076814 \nL 281.075958 115.470264 \nL 278.587341 116.216806 \nL 275.928126 117.28715 \nL 273.143684 118.646898 \nL 270.27988 120.258657 \nL 267.381545 122.083928 \nL 264.491152 124.084777 \nL 261.64778 126.225122 \nL 258.886316 128.471653 \nL 256.236996 130.79441 \nL 253.725186 133.167015 \nL 251.371411 135.566642 \nL 249.191581 137.973831 \nL 247.197349 140.372164 \nL 245.396562 142.747878 \nL 243.793799 145.089461 \nL 242.390884 147.38721 \nL 241.187426 149.632892 \nL 240.181318 151.819384 \nL 239.369202 153.940372 \nL 238.746874 155.990084 \nL 238.309641 157.96308 \nL 238.052623 159.854052 \nL 237.970991 161.657654 \nL 238.060172 163.368371 \nL 238.315991 164.980369 \nL 238.73477 166.487398 \nL 239.313392 167.882673 \nL 240.049335 169.158752 \nL 240.940659 170.307472 \nL 241.985957 171.319831 \nL 243.184305 172.185913 \nL 244.535142 172.894804 \nL 246.038154 173.434533 \nL 247.693094 173.792036 \nL 249.499593 173.953166 \nL 251.456918 173.902702 \nL 253.563689 173.624457 \nL 255.817557 173.101465 \nL 258.21482 172.316218 \nL 260.750013 171.25109 \nL 263.415423 169.888867 \nL 266.200563 168.213437 \nL 269.091639 166.210755 \nL 272.070939 163.869917 \nL 275.116282 161.184568 \nL 278.200448 158.154427 \nL 281.290731 154.787028 \nL 284.348604 151.099555 \nL 287.329596 147.120613 \nL 290.183475 142.891784 \nL 292.854789 138.468782 \nL 295.28385 133.921865 \nL 297.408251 129.335302 \nL 299.164933 124.805626 \nL 300.492729 120.438467 \nL 301.335372 116.344079 \nL 301.644761 112.631665 \nL 301.384187 109.402854 \nL 300.531337 106.745179 \nL 299.080621 104.726043 \nL 297.044585 103.388238 \nL 294.454175 102.747368 \nL 291.357702 102.79182 \nL 287.818609 103.485038 \nL 283.912206 104.769861 \nL 279.721713 106.574259 \nL 275.334017 108.817587 \nL 270.835508 111.416542 \nL 266.308414 114.290377 \nL 261.827825 117.364764 \nL 257.459573 120.574321 \nL 253.25897 123.863806 \nL 249.270344 127.188285 \nL 245.52725 130.512491 \nL 242.053173 133.809692 \nL 238.862604 137.060378 \nL 235.962272 140.250835 \nL 233.352487 143.371858 \nL 231.028445 146.417614 \nL 228.981454 149.384684 \nL 227.200044 152.271332 \nL 225.670928 155.076887 \nL 224.379813 157.801334 \nL 223.312075 160.445006 \nL 222.453286 163.00834 \nL 221.789641 165.491731 \nL 221.308259 167.895426 \nL 220.997417 170.219442 \nL 220.846704 172.463515 \nL 220.847106 174.627036 \nL 220.991074 176.70902 \nL 221.272526 178.708036 \nL 221.686843 180.622167 \nL 222.230845 182.448937 \nL 222.902743 184.185228 \nL 223.702099 185.827204 \nL 224.629762 187.370187 \nL 225.687821 188.808535 \nL 226.879531 190.135514 \nL 228.209257 191.343126 \nL 229.682392 192.42191 \nL 231.305281 193.360762 \nL 233.085121 194.146694 \nL 235.029842 194.76458 \nL 237.147959 195.196906 \nL 239.4484 195.423497 \nL 241.94026 195.421248 \nL 244.632519 195.163889 \nL 247.533653 194.621784 \nL 250.651171 193.761835 \nL 253.991027 192.547513 \nL 257.556876 190.93909 \nL 261.349189 188.894183 \nL 265.364163 186.368696 \nL 269.592455 183.318273 \nL 274.017712 179.700457 \nL 278.614888 175.477615 \nL 283.34848 170.620841 \nL 288.170658 165.11482 \nL 293.019531 158.963638 \nL 297.817666 152.197315 \nL 302.471236 144.878527 \nL 306.870045 137.108794 \nL 310.888923 129.032861 \nL 314.39084 120.84001 \nL 317.23204 112.760617 \nL 319.269412 105.056816 \nL 320.369794 98.006561 \nL 320.420701 91.881921 \nL 319.34132 86.923705 \nL 317.092389 83.316107 \nL 313.683224 81.166136 \nL 309.174583 80.491932 \nL 303.676343 81.222835 \nL 297.3401 83.211445 \nL 290.347585 86.254914 \nL 282.896671 90.121066 \nL 275.18695 94.574096 \nL 267.406858 99.395772 \nL 259.723741 104.399604 \nL 252.277436 109.437713 \nL 245.177376 114.401376 \nL 238.502675 119.217314 \nL 232.304383 123.841528 \nL 226.609071 128.252445 \nL 221.423048 132.444462 \nL 216.736645 136.422445 \nL 212.528225 140.197417 \nL 208.767694 143.783449 \nL 205.419456 147.195521 \nL 202.44479 150.448133 \nL 199.803694 153.554579 \nL 197.456275 156.526531 \nL 193.489066 162.105053 \nL 190.256445 167.243807 \nL 181.466581 182.15304 \nL 178.970536 185.539538 \nL 177.641532 187.074719 \nL 176.23995 188.497547 \nL 174.752542 189.801255 \nL 173.166438 190.977661 \nL 171.469035 192.016996 \nL 169.647921 192.907701 \nL 167.690824 193.636198 \nL 165.585615 194.186658 \nL 163.320346 194.540739 \nL 160.883365 194.677335 \nL 158.263474 194.572331 \nL 155.4502 194.198404 \nL 152.434126 193.524877 \nL 149.207376 192.517686 \nL 145.764209 191.139532 \nL 142.101775 189.35025 \nL 138.221048 187.107548 \nL 134.127954 184.368147 \nL 129.834672 181.089574 \nL 125.361172 177.232612 \nL 120.736849 172.764611 \nL 116.002315 167.663774 \nL 111.211143 161.92431 \nL 106.431417 155.562477 \nL 101.7469 148.623042 \nL 97.257455 141.185615 \nL 93.078371 133.369898 \nL 89.338231 125.338605 \nL 86.174927 117.296623 \nL 83.729632 109.485042 \nL 82.138679 102.169056 \nL 81.523807 95.619756 \nL 81.981494 90.091227 \nL 83.572648 85.795532 \nL 86.31414 82.879988 \nL 90.173763 81.410713 \nL 95.069698 81.366433 \nL 100.875054 82.643839 \nL 107.427014 85.073554 \nL 114.5393 88.443221 \nL 122.016135 92.523014 \nL 129.665729 97.088911 \nL 137.311649 101.940341 \nL 144.801011 106.91089 \nL 152.009241 111.87219 \nL 158.841598 116.732562 \nL 165.232141 121.432343 \nL 171.140959 125.937576 \nL 176.55037 130.233467 \nL 181.460775 134.318519 \nL 185.88657 138.199685 \nL 189.852445 141.888683 \nL 193.390167 145.399361 \nL 196.535934 148.745947 \nL 199.32826 151.941955 \nL 201.806357 154.99959 \nL 204.008935 157.929498 \nL 207.735052 163.440683 \nL 210.780702 168.529821 \nL 219.173532 183.366673 \nL 221.592521 186.759671 \nL 222.885147 188.303263 \nL 224.251126 189.738283 \nL 225.703335 191.058265 \nL 227.254365 192.255376 \nL 228.91663 193.320233 \nL 230.702453 194.241686 \nL 232.624112 195.006596 \nL 234.693853 195.599589 \nL 236.923859 196.002777 \nL 239.326145 196.195489 \nL 241.912427 196.153993 \nL 244.693867 195.851248 \nL 247.680761 195.256723 \nL 250.88209 194.336272 \nL 254.304954 193.052198 \nL 257.953842 191.363518 \nL 261.829729 189.22654 \nL 265.928966 186.595869 \nL 270.24197 183.425993 \nL 274.751703 179.673564 \nL 279.431951 175.300546 \nL 284.245475 170.278351 \nL 289.1421 164.593026 \nL 294.056927 158.251363 \nL 298.90888 151.287767 \nL 303.599892 143.771235 \nL 308.015076 135.811646 \nL 312.024378 127.564032 \nL 315.486033 119.22933 \nL 318.252229 111.050072 \nL 320.177037 103.299661 \nL 321.126314 96.264805 \nL 320.988964 90.222097 \nL 319.688299 85.41123 \nL 317.191911 82.009101 \nL 313.518371 80.109599 \nL 308.739291 79.713477 \nL 302.975986 80.730821 \nL 296.390875 82.995749 \nL 289.174821 86.290098 \nL 281.532361 90.371039 \nL 273.66688 94.9973 \nL 265.767825 99.949898 \nL 258.001101 105.045202 \nL 250.503269 110.140438 \nL 243.379295 115.133068 \nL 236.703248 119.95602 \nL 230.521043 124.570907 \nL 224.854395 128.960874 \nL 219.705248 133.124037 \nL 215.060181 137.068017 \nL 210.894433 140.8058 \nL 207.175404 144.35276 \nL 203.865536 147.724671 \nL 200.924625 150.93649 \nL 198.311581 154.00167 \nL 195.985742 156.931886 \nL 192.040397 162.424949 \nL 188.799716 167.473926 \nL 180.999977 180.214414 \nL 178.44762 183.66143 \nL 177.101025 185.223608 \nL 175.687826 186.671445 \nL 174.194175 187.998313 \nL 172.606759 189.196203 \nL 170.912678 190.255533 \nL 169.09935 191.164973 \nL 167.154463 191.911246 \nL 165.065956 192.478891 \nL 162.822069 192.85003 \nL 160.411432 193.004145 \nL 157.823227 192.917859 \nL 155.047443 192.564754 \nL 152.07521 191.915276 \nL 148.899243 190.936734 \nL 145.514436 189.593456 \nL 141.918583 187.847221 \nL 138.113272 185.657972 \nL 134.104949 182.984991 \nL 129.906179 179.788598 \nL 125.537056 176.032572 \nL 121.026767 171.68727 \nL 116.415234 166.733696 \nL 111.754723 161.168347 \nL 107.111241 155.008805 \nL 102.565566 148.299678 \nL 98.213531 141.118399 \nL 94.165339 133.579916 \nL 90.543442 125.839209 \nL 87.478754 118.090331 \nL 85.104988 110.560747 \nL 83.551091 103.500112 \nL 82.932166 97.163579 \nL 83.339636 91.790809 \nL 84.831706 87.583127 \nL 87.425523 84.682587 \nL 91.092411 83.156682 \nL 95.75722 82.992118 \nL 101.302277 84.099016 \nL 107.575602 86.324752 \nL 114.402217 89.474612 \nL 121.597018 93.33494 \nL 128.977339 97.694751 \nL 136.373715 102.362569 \nL 143.637875 107.177085 \nL 150.647577 112.011642 \nL 157.308448 116.773758 \nL 163.55338 121.401305 \nL 169.340201 125.857007 \nL 174.648305 130.122527 \nL 179.474835 134.192976 \nL 183.83087 138.072301 \nL 187.737883 141.769692 \nL 191.224654 145.296961 \nL 194.324672 148.666774 \nL 197.074048 151.891474 \nL 199.509889 154.982452 \nL 201.669074 157.949813 \nL 203.587383 160.802278 \nL 206.835625 166.190653 \nL 209.501408 171.191959 \nL 216.987495 185.943308 \nL 219.191637 189.378998 \nL 220.3759 190.957817 \nL 221.631393 192.438521 \nL 222.970093 193.815737 \nL 224.403862 195.082866 \nL 225.944564 196.23192 \nL 227.604161 197.253311 \nL 229.394779 198.135619 \nL 231.328742 198.865336 \nL 233.418579 199.426579 \nL 235.676971 199.800783 \nL 238.116666 199.966367 \nL 240.750315 199.898401 \nL 243.590238 199.568292 \nL 246.648075 198.943511 \nL 249.934343 197.987388 \nL 253.457835 196.659068 \nL 257.224847 194.913694 \nL 261.238217 192.702878 \nL 265.496138 189.975678 \nL 269.990713 186.680147 \nL 274.706266 182.765698 \nL 279.617411 178.186457 \nL 284.686906 172.905776 \nL 289.86342 166.902003 \nL 295.079358 160.175497 \nL 300.248984 152.75663 \nL 305.2672 144.71422 \nL 310.009409 136.163351 \nL 314.333021 127.271141 \nL 318.08103 118.258561 \nL 321.088226 109.396277 \nL 323.19012 100.992765 \nL 324.234397 93.373979 \nL 324.094093 86.855512 \nL 322.681079 81.710395 \nL 319.95787 78.137707 \nL 315.94565 76.238085 \nL 310.726713 76.002091 \nL 304.440271 77.314099 \nL 297.271992 79.9715 \nL 289.438684 83.714422 \nL 281.170625 88.259661 \nL 272.69428 93.33184 \nL 264.217684 98.686949 \nL 255.919962 104.126079 \nL 240.402219 114.705924 \nL 226.870974 124.395843 \nL 220.941343 128.839408 \nL 215.569831 133.018236 \nL 210.736133 136.946894 \nL 206.408725 140.644243 \nL 202.548639 144.130383 \nL 199.112517 147.424758 \nL 196.054983 150.545018 \nL 193.330416 153.506505 \nL 188.703731 159.002291 \nL 184.901627 163.98734 \nL 177.222092 174.435107 \nL 174.320331 177.811678 \nL 172.8212 179.316103 \nL 171.266787 180.690257 \nL 169.641353 181.926681 \nL 167.930246 183.016432 \nL 166.119761 183.948942 \nL 164.197057 184.711912 \nL 162.15012 185.291141 \nL 159.967767 185.670399 \nL 157.639716 185.831298 \nL 155.15673 185.753178 \nL 152.510829 185.413104 \nL 149.695591 184.785861 \nL 146.706545 183.844143 \nL 143.541686 182.558883 \nL 140.20209 180.89977 \nL 136.692672 178.836114 \nL 133.023044 176.33801 \nL 129.20851 173.377988 \nL 125.271152 169.933138 \nL 121.240961 165.987762 \nL 117.156952 161.536616 \nL 113.068178 156.588583 \nL 109.034505 151.170677 \nL 105.126959 145.332025 \nL 101.427468 139.147389 \nL 98.027753 132.719555 \nL 95.0272 126.179934 \nL 92.529513 119.686494 \nL 90.638101 113.41848 \nL 89.45032 107.567537 \nL 89.050882 102.325569 \nL 89.504977 97.870278 \nL 90.851865 94.350075 \nL 93.099802 91.870547 \nL 96.223102 90.484814 \nL 100.162034 90.189516 \nL 104.82564 90.92734 \nL 110.097385 92.595507 \nL 115.842896 95.05871 \nL 121.918759 98.163965 \nL 128.18138 101.755153 \nL 134.494819 105.685079 \nL 140.736997 109.823951 \nL 146.803833 114.064129 \nL 152.611394 118.32135 \nL 158.096246 122.533529 \nL 163.214433 126.657927 \nL 167.939495 130.667557 \nL 172.259982 134.547558 \nL 176.176744 138.291851 \nL 179.700281 141.900348 \nL 182.848299 145.37675 \nL 185.643557 148.726899 \nL 188.112061 151.957637 \nL 190.281577 155.076039 \nL 192.180467 158.088966 \nL 193.836798 161.00278 \nL 195.277687 163.823239 \nL 196.52885 166.555462 \nL 198.556234 171.772781 \nL 200.088531 176.684884 \nL 201.265192 181.315437 \nL 202.601359 187.774241 \nL 205.361309 202.469255 \nL 206.559428 207.128422 \nL 207.509869 209.993379 \nL 208.625574 212.666981 \nL 209.948587 215.146055 \nL 211.527213 217.421753 \nL 213.418163 219.477289 \nL 214.501326 220.414295 \nL 215.688784 221.284642 \nL 216.990999 222.082287 \nL 218.419391 222.79979 \nL 219.98641 223.428023 \nL 221.7056 223.955859 \nL 223.59165 224.369779 \nL 225.660439 224.653419 \nL 227.929047 224.787047 \nL 230.415731 224.746951 \nL 233.139856 224.504751 \nL 236.121746 224.02663 \nL 239.382445 223.272477 \nL 242.943343 222.195021 \nL 246.825639 220.73894 \nL 251.049555 218.840085 \nL 255.633281 216.424896 \nL 260.591544 213.410248 \nL 265.933717 209.703979 \nL 271.661383 205.206442 \nL 277.765268 199.813643 \nL 284.221483 193.422476 \nL 290.987035 185.938795 \nL 297.994752 177.288934 \nL 305.147814 167.435136 \nL 312.314378 156.39483 \nL 319.323148 144.262786 \nL 325.960949 131.233656 \nL 331.973945 117.620689 \nL 337.074075 103.864253 \nL 340.952537 90.522773 \nL 343.301079 78.239183 \nL 343.840666 67.680082 \nL 342.354824 59.45191 \nL 338.72275 54.008378 \nL 332.945097 51.571092 \nL 325.155703 52.087326 \nL 315.614512 55.239996 \nL 304.681575 60.50932 \nL 292.77704 67.268081 \nL 280.335806 74.882637 \nL 243.568678 97.904606 \nL 232.41488 104.62897 \nL 222.081267 110.665135 \nL 212.630273 116.006369 \nL 196.395341 124.773174 \nL 183.457902 131.417166 \nL 169.099321 138.503222 \nL 159.135453 143.218925 \nL 154.13797 145.415386 \nL 150.025197 146.996654 \nL 146.521958 148.030366 \nL 143.426093 148.556185 \nL 141.984946 148.636677 \nL 140.597275 148.598907 \nL 139.253527 148.445245 \nL 137.946823 148.178255 \nL 136.672741 147.800872 \nL 134.215591 146.729732 \nL 131.887522 145.26987 \nL 129.720326 143.475912 \nL 127.766078 141.422329 \nL 126.090516 139.204371 \nL 124.765578 136.936077 \nL 123.860944 134.744823 \nL 123.435058 132.762439 \nL 123.414681 131.889215 \nL 123.526466 131.113817 \nL 123.770939 130.448778 \nL 124.146623 129.904724 \nL 124.649985 129.490136 \nL 125.275443 129.211146 \nL 126.015439 129.071463 \nL 126.860576 129.072311 \nL 127.799801 129.212542 \nL 129.909594 129.895491 \nL 132.233528 131.070231 \nL 134.652167 132.663062 \nL 137.047512 134.586229 \nL 139.311045 136.746606 \nL 141.349375 139.052371 \nL 143.087257 141.417156 \nL 144.468214 143.761968 \nL 145.453392 146.015368 \nL 146.019342 148.112614 \nL 146.155445 149.994327 \nL 146.061884 150.836907 \nL 145.861482 151.605058 \nL 145.555534 152.29229 \nL 145.145793 152.892246 \nL 144.634462 153.398708 \nL 144.024196 153.805605 \nL 143.318116 154.107052 \nL 142.519838 154.297379 \nL 141.633524 154.371207 \nL 140.663931 154.323527 \nL 139.61648 154.149807 \nL 138.497326 153.846133 \nL 136.072685 152.837225 \nL 133.456978 151.284084 \nL 130.733753 149.195882 \nL 128.004583 146.611136 \nL 125.388809 143.604718 \nL 123.02061 140.292837 \nL 121.042615 136.83347 \nL 120.24437 135.107911 \nL 119.595619 133.420173 \nL 119.111423 131.797666 \nL 118.804885 130.267803 \nL 118.686665 128.857206 \nL 118.764511 127.590831 \nL 119.042878 126.491162 \nL 119.522612 125.577443 \nL 120.200781 124.86504 \nL 121.070615 124.364975 \nL 122.121596 124.083664 \nL 123.339708 124.022854 \nL 124.707797 124.179778 \nL 126.20605 124.547517 \nL 127.812584 125.115483 \nL 129.504054 125.870076 \nL 131.256311 126.795324 \nL 134.846326 129.086306 \nL 138.396115 131.839145 \nL 141.740451 134.905781 \nL 144.744711 138.150797 \nL 147.30826 141.456657 \nL 149.362995 144.724172 \nL 150.868716 147.869956 \nL 151.409275 149.374509 \nL 151.807046 150.822527 \nL 152.062127 152.206265 \nL 152.175241 153.518213 \nL 152.147608 154.751013 \nL 151.980822 155.897361 \nL 151.676774 156.949933 \nL 151.237582 157.901302 \nL 150.665556 158.743899 \nL 149.963195 159.469989 \nL 149.133201 160.071624 \nL 148.178524 160.540675 \nL 147.10242 160.868835 \nL 145.90856 161.047677 \nL 144.601121 161.068747 \nL 143.184946 160.923676 \nL 141.665689 160.604346 \nL 140.04999 160.103116 \nL 138.345675 159.413059 \nL 136.561951 158.528323 \nL 134.7096 157.44449 \nL 132.801204 156.159033 \nL 130.851313 154.671806 \nL 128.876622 152.985593 \nL 126.896081 151.106672 \nL 124.930943 149.045373 \nL 123.004762 146.816614 \nL 121.143258 144.44036 \nL 119.374083 141.941896 \nL 117.726417 139.351968 \nL 116.23045 136.706634 \nL 114.916691 134.046809 \nL 113.815115 131.417474 \nL 112.954181 128.866524 \nL 112.359775 126.443267 \nL 112.054083 124.196651 \nL 112.054491 122.173302 \nL 112.372602 120.415521 \nL 113.013388 118.959393 \nL 113.97466 117.833148 \nL 115.246783 117.056003 \nL 116.812772 116.637458 \nL 118.648792 116.577299 \nL 120.724906 116.86607 \nL 123.006209 117.486162 \nL 125.454102 118.413259 \nL 128.027706 119.617967 \nL 130.685317 121.067628 \nL 133.38573 122.727993 \nL 136.089484 124.564689 \nL 138.759818 126.544478 \nL 141.363464 128.636165 \nL 143.871143 130.811197 \nL 146.25784 133.04399 \nL 148.502852 135.312036 \nL 150.589669 137.595789 \nL 152.505714 139.878463 \nL 154.241972 142.145738 \nL 155.792562 144.385392 \nL 157.154274 146.586991 \nL 158.32611 148.741536 \nL 159.308831 150.841146 \nL 160.104523 152.878773 \nL 160.716237 154.847976 \nL 161.147635 156.742673 \nL 161.402708 158.556981 \nL 161.485547 160.285024 \nL 161.400133 161.920807 \nL 161.150204 163.458078 \nL 160.739148 164.890208 \nL 160.169939 166.210095 \nL 159.445098 167.410058 \nL 158.566712 168.481738 \nL 157.536464 169.416038 \nL 156.355702 170.203041 \nL 155.025534 170.831954 \nL 153.546978 171.291071 \nL 151.921106 171.567774 \nL 150.149256 171.648548 \nL 148.23327 171.519066 \nL 146.175762 171.164337 \nL 143.980444 170.568904 \nL 141.652487 169.717168 \nL 139.198915 168.593834 \nL 136.629048 167.18447 \nL 133.954995 165.476254 \nL 131.192109 163.458883 \nL 128.359527 161.12566 \nL 125.480618 158.474767 \nL 122.58341 155.510677 \nL 119.700923 152.24568 \nL 116.871303 148.701367 \nL 114.137783 144.910054 \nL 111.548338 140.915858 \nL 109.15499 136.775341 \nL 107.012692 132.557424 \nL 105.177785 128.342375 \nL 103.706025 124.219784 \nL 102.650175 120.285362 \nL 102.057342 116.63667 \nL 101.966194 113.368067 \nL 102.404284 110.565218 \nL 103.385703 108.299742 \nL 104.90941 106.624603 \nL 106.958392 105.570858 \nL 109.499816 105.146215 \nL 112.48625 105.335498 \nL 115.857847 106.103041 \nL 119.545297 107.396566 \nL 123.473265 109.152025 \nL 127.564006 111.298776 \nL 131.740811 113.764395 \nL 135.93103 116.478821 \nL 140.068481 119.37745 \nL 144.095169 122.403155 \nL 147.962281 125.507237 \nL 151.630536 128.649569 \nL 155.06998 131.798111 \nL 158.259384 134.928033 \nL 161.185337 138.020629 \nL 163.841182 141.062214 \nL 166.225893 144.043056 \nL 168.342941 146.956426 \nL 170.199249 149.797808 \nL 171.804219 152.564239 \nL 173.168901 155.253802 \nL 174.305265 157.865227 \nL 175.225616 160.397609 \nL 175.942099 162.850183 \nL 176.466329 165.222154 \nL 176.809097 167.512579 \nL 176.980158 169.720269 \nL 176.988082 171.843715 \nL 176.840161 173.881007 \nL 176.542355 175.829757 \nL 176.099269 177.687035 \nL 175.51416 179.449277 \nL 174.788962 181.112202 \nL 173.924326 182.670697 \nL 172.919673 184.118688 \nL 171.773261 185.449033 \nL 170.482256 186.653356 \nL 169.042819 187.721867 \nL 167.450218 188.643191 \nL 165.698929 189.404183 \nL 163.782795 189.989698 \nL 161.695194 190.382399 \nL 159.429253 190.562542 \nL 156.978112 190.507796 \nL 154.335258 190.193104 \nL 151.494908 189.590604 \nL 148.452527 188.669674 \nL 145.205419 187.397115 \nL 141.753452 185.737599 \nL 138.09994 183.654347 \nL 134.252647 181.110292 \nL 130.224965 178.069633 \nL 126.037233 174.500097 \nL 121.718142 170.375784 \nL 117.306209 165.680833 \nL 112.851222 160.413745 \nL 108.415447 154.592342 \nL 104.074487 148.258987 \nL 99.917494 141.485597 \nL 96.046484 134.377693 \nL 92.5744 127.076532 \nL 89.621728 119.758233 \nL 87.311429 112.628873 \nL 85.762291 105.914855 \nL 85.080915 99.848542 \nL 85.353046 94.650186 \nL 86.635064 90.508041 \nL 88.946914 87.559848 \nL 92.267536 85.878765 \nL 96.533842 85.466644 \nL 101.643637 86.256216 \nL 107.462303 88.121596 \nL 113.832425 90.895273 \nL 120.584965 94.387897 \nL 127.55057 98.407531 \nL 134.569555 102.775529 \nL 141.499667 107.337246 \nL 148.221122 111.967568 \nL 154.639012 116.571749 \nL 160.6834 121.083037 \nL 166.307722 125.458409 \nL 171.486053 129.673543 \nL 176.209846 133.71792 \nL 180.4845 137.590565 \nL 184.326102 141.296555 \nL 187.758483 144.844439 \nL 190.810713 148.244349 \nL 193.515025 151.506769 \nL 195.905172 154.641761 \nL 198.015155 157.65855 \nL 199.878297 160.565307 \nL 202.990185 166.07609 \nL 205.473956 171.219006 \nL 207.529223 176.025463 \nL 212.652339 188.596505 \nL 214.402177 192.189864 \nL 216.3294 195.475613 \nL 218.516781 198.43435 \nL 219.733655 199.78156 \nL 221.046616 201.033601 \nL 222.466511 202.183649 \nL 224.004593 203.22342 \nL 225.67259 204.142942 \nL 227.482752 204.930278 \nL 229.447871 205.571217 \nL 231.581279 206.048927 \nL 233.896792 206.343578 \nL 236.408613 206.43192 \nL 239.131169 206.286841 \nL 242.078861 205.876929 \nL 245.265715 205.166059 \nL 248.704903 204.113029 \nL 252.408098 202.671346 \nL 256.384627 200.789226 \nL 260.640407 198.409945 \nL 265.176588 195.472693 \nL 269.987884 191.914137 \nL 275.060571 187.670949 \nL 280.370145 182.683553 \nL 285.878673 176.90136 \nL 291.531922 170.289742 \nL 297.256471 162.83874 \nL 302.957072 154.573362 \nL 308.514689 145.564748 \nL 313.785841 135.941026 \nL 318.60387 125.895874 \nL 322.782969 115.692092 \nL 326.125564 105.657397 \nL 328.433427 96.169462 \nL 329.522325 87.629291 \nL 329.239133 80.423722 \nL 327.479422 74.88178 \nL 324.202879 71.232489 \nL 319.443329 69.573298 \nL 313.311058 69.857324 \nL 305.98598 71.903335 \nL 297.702467 75.426296 \nL 288.728165 80.081027 \nL 279.340647 85.50868 \nL 269.805595 91.376238 \nL 251.198994 103.374706 \nL 234.29401 114.608456 \nL 219.788105 124.498303 \nL 207.828402 133.005252 \nL 198.216918 140.314138 \nL 190.585759 146.649163 \nL 184.514287 152.196527 \nL 179.595361 157.085445 \nL 170.097745 166.831198 \nL 166.716832 169.768574 \nL 165.013081 171.019412 \nL 163.273955 172.116529 \nL 161.482273 173.051789 \nL 159.622826 173.815624 \nL 157.682251 174.397062 \nL 155.648965 174.783695 \nL 153.513151 174.96174 \nL 151.266807 174.916072 \nL 148.903849 174.630376 \nL 146.420298 174.087308 \nL 143.814527 173.268804 \nL 141.087576 172.156527 \nL 138.243555 170.732431 \nL 135.290088 168.979533 \nL 132.238851 166.882921 \nL 129.1061 164.43098 \nL 125.91326 161.616885 \nL 122.687445 158.440311 \nL 119.461943 154.909334 \nL 116.276525 151.042445 \nL 113.177543 146.870512 \nL 110.217729 142.438517 \nL 107.455555 137.806792 \nL 104.954119 133.051441 \nL 102.779464 128.263699 \nL 100.998278 123.547901 \nL 99.675055 119.017883 \nL 98.868755 114.791897 \nL 98.629263 110.986178 \nL 98.99379 107.70776 \nL 99.983715 105.047241 \nL 101.602105 103.072351 \nL 103.832352 101.82326 \nL 106.638106 101.310297 \nL 109.964645 101.514345 \nL 113.741544 102.389976 \nL 117.886445 103.870728 \nL 122.30949 105.875611 \nL 126.917979 108.316135 \nL 131.620839 111.102762 \nL 136.332443 114.150291 \nL 140.975628 117.381654 \nL 145.483727 120.730329 \nL 149.801686 124.14116 \nL 153.886311 127.57019 \nL 157.70583 130.983718 \nL 161.23898 134.356889 \nL 164.473743 137.672136 \nL 167.405947 140.917657 \nL 170.037809 144.086 \nL 172.376538 147.172918 \nL 174.433049 150.176372 \nL 176.220826 153.095788 \nL 177.754946 155.931526 \nL 179.051264 158.684442 \nL 180.125758 161.355607 \nL 180.994009 163.946135 \nL 181.670808 166.457036 \nL 182.169868 168.889114 \nL 182.503616 171.242945 \nL 182.683066 173.51881 \nL 182.717741 175.716676 \nL 182.61564 177.836139 \nL 182.383239 179.876421 \nL 182.025509 181.836305 \nL 181.545957 183.714087 \nL 180.94667 185.507505 \nL 180.228366 187.213683 \nL 179.390455 188.829005 \nL 178.431089 190.349035 \nL 177.347214 191.768381 \nL 176.134638 193.080552 \nL 174.788071 194.277778 \nL 173.301199 195.350828 \nL 171.666745 196.288786 \nL 169.876553 197.078808 \nL 167.92169 197.70585 \nL 165.792561 198.152384 \nL 163.479086 198.398096 \nL 160.970894 198.419559 \nL 158.257613 198.189949 \nL 155.32921 197.678776 \nL 152.176454 196.851682 \nL 148.791485 195.670386 \nL 145.168545 194.092804 \nL 141.30488 192.073459 \nL 137.201846 189.564293 \nL 132.866223 186.516011 \nL 128.311774 182.880123 \nL 123.56105 178.611896 \nL 118.647352 173.674304 \nL 113.616806 168.043152 \nL 108.530468 161.713342 \nL 103.46614 154.706142 \nL 98.519713 147.076967 \nL 93.805562 138.922923 \nL 89.455583 130.388773 \nL 85.616374 121.66982 \nL 82.444148 113.009784 \nL 80.09709 104.691973 \nL 78.725297 97.022808 \nL 78.458837 90.308019 \nL 79.395071 84.823667 \nL 81.586933 80.786219 \nL 85.034023 78.327144 \nL 89.67841 77.477378 \nL 95.406307 78.165543 \nL 102.055828 80.230637 \nL 109.429787 83.446309 \nL 117.31162 87.551403 \nL 125.481976 92.280288 \nL 133.733563 97.38796 \nL 141.882674 102.666671 \nL 149.7765 107.95369 \nL 164.357389 118.1234 \nL 170.905964 122.885208 \nL 176.915328 127.397875 \nL 182.380817 131.659507 \nL 187.314962 135.679157 \nL 191.74301 139.471978 \nL 195.69902 143.055774 \nL 199.22265 146.448696 \nL 202.35659 149.667854 \nL 205.144603 152.728546 \nL 207.630072 155.643946 \nL 211.859242 161.080609 \nL 215.352791 166.041489 \nL 222.516986 176.544695 \nL 225.273171 179.986162 \nL 226.706783 181.532803 \nL 228.1993 182.95617 \nL 229.765807 184.249224 \nL 231.420531 185.403486 \nL 233.17696 186.408891 \nL 235.047943 187.25362 \nL 237.045743 187.923928 \nL 239.182028 188.403985 \nL 241.467827 188.67566 \nL 243.913419 188.718399 \nL 246.528132 188.509075 \nL 249.320076 188.02196 \nL 252.295771 187.228731 \nL 255.459673 186.098657 \nL 258.813562 184.598985 \nL 262.355805 182.695578 \nL 266.080479 180.353875 \nL 269.976341 177.540362 \nL 274.025655 174.224499 \nL 278.202935 170.381274 \nL 282.473628 165.994442 \nL 286.792786 161.060387 \nL 291.10395 155.592548 \nL 295.338299 149.626152 \nL 299.41435 143.222865 \nL 303.238445 136.474665 \nL 306.706298 129.506247 \nL 309.705811 122.474877 \nL 312.121376 115.566892 \nL 313.839673 108.989996 \nL 314.756718 102.961368 \nL 314.78575 97.69201 \nL 313.865149 93.368994 \nL 311.965394 90.138008 \nL 309.094012 88.089101 \nL 305.297605 87.248157 \nL 300.660373 87.576069 \nL 295.299097 88.975712 \nL 289.355181 91.305322 \nL 282.984769 94.395726 \nL 276.34832 98.068279 \nL 269.60085 102.150556 \nL 262.883931 106.488183 \nL 256.319991 110.951782 \nL 250.009086 115.439619 \nL 244.027906 119.876701 \nL 238.430575 124.211665 \nL 233.250713 128.412555 \nL 228.504242 132.462311 \nL 224.1925 136.354621 \nL 220.305334 140.090451 \nL 216.823978 143.675258 \nL 213.723586 147.116964 \nL 210.975358 150.424546 \nL 208.548287 153.607073 \nL 206.41052 156.673169 \nL 204.530404 159.630716 \nL 202.877235 162.486701 \nL 200.136645 167.917583 \nL 197.977657 173.005145 \nL 196.221489 177.778121 \nL 190.638522 194.054164 \nL 189.131855 197.455526 \nL 187.431648 200.585422 \nL 185.469278 203.428937 \nL 184.367578 204.735725 \nL 183.173003 205.960115 \nL 181.875558 207.096476 \nL 180.464671 208.137892 \nL 178.929124 209.075943 \nL 177.256988 209.900447 \nL 175.435586 210.599163 \nL 173.451469 211.157434 \nL 171.290426 211.5578 \nL 168.937526 211.779556 \nL 166.37721 211.798257 \nL 163.59345 211.585199 \nL 160.569997 211.106855 \nL 157.290722 210.324332 \nL 153.740117 209.192883 \nL 149.903958 207.661509 \nL 145.770189 205.672808 \nL 141.330082 203.163145 \nL 136.579707 200.063393 \nL 131.521777 196.30043 \nL 126.167917 191.799728 \nL 120.541332 186.489392 \nL 114.679923 180.30598 \nL 108.639699 173.202427 \nL 102.498365 165.158286 \nL 96.358664 156.192119 \nL 90.351072 146.375269 \nL 84.63506 135.845743 \nL 79.398114 124.819603 \nL 74.851474 113.596645 \nL 71.221716 102.55627 \nL 68.737642 92.140065 \nL 67.612624 82.818783 \nL 68.023716 75.045385 \nL 70.089972 69.199787 \nL 73.853599 65.535867 \nL 79.267994 64.14311 \nL 86.195801 64.933692 \nL 94.418571 67.659527 \nL 103.656884 71.955341 \nL 113.597239 77.396578 \nL 123.920894 83.557652 \nL 134.329536 90.058458 \nL 163.735105 108.948183 \nL 194.236982 128.732588 \nL 205.390808 136.254627 \nL 214.24367 142.567829 \nL 221.260134 147.926056 \nL 229.330566 154.545098 \nL 235.611065 159.728312 \nL 239.311198 162.434413 \nL 241.103474 163.558946 \nL 242.888512 164.525664 \nL 244.685988 165.32876 \nL 246.512796 165.961228 \nL 248.383218 166.414974 \nL 250.309047 166.680954 \nL 252.29965 166.74931 \nL 254.362005 166.609566 \nL 256.500669 166.250847 \nL 258.717707 165.662171 \nL 261.012554 164.832823 \nL 263.381855 163.752819 \nL 265.819245 162.413472 \nL 268.315114 160.808077 \nL 270.856367 158.932702 \nL 273.426156 156.787116 \nL 276.003701 154.375772 \nL 278.564122 151.708864 \nL 281.0784 148.803383 \nL 283.513481 145.684081 \nL 285.832553 142.384234 \nL 287.995569 138.946133 \nL 289.960039 135.421126 \nL 291.682099 131.869053 \nL 293.11788 128.357073 \nL 294.225157 124.957719 \nL 294.965213 121.746226 \nL 295.304806 118.797313 \nL 295.218133 116.181502 \nL 294.68862 113.961368 \nL 293.710379 112.188111 \nL 292.289155 110.898629 \nL 290.442661 110.113716 \nL 288.200225 109.837364 \nL 285.601731 110.057291 \nL 282.69592 110.746723 \nL 279.538265 111.867034 \nL 276.188485 113.370979 \nL 272.708021 115.206108 \nL 269.157601 117.318052 \nL 265.595081 119.653348 \nL 262.073697 122.161654 \nL 258.640789 124.797266 \nL 255.336998 127.520017 \nL 252.195916 130.295579 \nL 249.244111 133.095345 \nL 246.501479 135.895967 \nL 243.981819 138.678774 \nL 241.693549 141.429035 \nL 239.640492 144.135274 \nL 237.822706 146.788581 \nL 236.237265 149.382029 \nL 234.878997 151.910179 \nL 233.741158 154.368621 \nL 232.816011 156.753653 \nL 232.095319 159.061996 \nL 231.570758 161.290575 \nL 231.234266 163.436324 \nL 231.07829 165.496039 \nL 231.095996 167.466252 \nL 231.281412 169.343117 \nL 231.629525 171.122301 \nL 232.136335 172.798887 \nL 232.798886 174.367257 \nL 233.615251 175.820987 \nL 234.584503 177.152728 \nL 235.706656 178.354087 \nL 236.982587 179.415506 \nL 238.413932 180.326108 \nL 240.002959 181.073584 \nL 241.752414 181.644068 \nL 243.665331 182.021999 \nL 245.744799 182.19004 \nL 247.993701 182.129016 \nL 250.414377 181.817925 \nL 253.008246 181.234002 \nL 255.775341 180.352933 \nL 258.713773 179.149184 \nL 261.819106 177.596565 \nL 265.083643 175.669013 \nL 268.495614 173.341699 \nL 272.038307 170.592491 \nL 275.689132 167.403815 \nL 279.418642 163.764947 \nL 283.189655 159.674705 \nL 286.956444 155.144472 \nL 290.664182 150.201416 \nL 294.24877 144.891597 \nL 297.637173 139.28261 \nL 300.748493 133.46531 \nL 303.495827 127.553977 \nL 305.789164 121.684457 \nL 307.539202 116.009727 \nL 308.662083 110.692799 \nL 309.084755 105.89704 \nL 308.750529 101.774852 \nL 307.624256 98.455751 \nL 305.696508 96.035509 \nL 302.986067 94.568152 \nL 299.54032 94.062058 \nL 295.4333 94.480928 \nL 290.761476 95.749444 \nL 285.637837 97.762584 \nL 280.184908 100.396912 \nL 274.527517 103.522209 \nL 268.786148 107.011613 \nL 263.07142 110.749396 \nL 257.480091 114.635898 \nL 252.092671 118.589745 \nL 246.972513 122.547849 \nL 242.166142 126.463849 \nL 237.704508 130.305677 \nL 233.60481 134.052778 \nL 229.872628 137.693428 \nL 226.504127 141.222307 \nL 223.488175 144.63849 \nL 220.808265 147.943905 \nL 218.444199 151.142156 \nL 216.373503 154.237699 \nL 214.572572 157.235286 \nL 213.017594 160.13962 \nL 211.685239 162.955153 \nL 210.55317 165.685981 \nL 209.600403 168.335828 \nL 208.807537 170.908027 \nL 207.63253 175.831153 \nL 206.90781 180.475812 \nL 206.540304 184.85867 \nL 206.461669 188.993569 \nL 206.62503 192.892083 \nL 207.00175 196.563759 \nL 207.578643 200.016043 \nL 208.355817 203.253954 \nL 209.345211 206.279479 \nL 210.56982 209.09061 \nL 212.063546 211.679917 \nL 213.871626 214.032493 \nL 214.911 215.112588 \nL 216.051544 216.122948 \nL 217.302573 217.058053 \nL 218.674347 217.911107 \nL 220.178118 218.673782 \nL 221.826177 219.335927 \nL 223.6319 219.885239 \nL 225.609763 220.306863 \nL 227.775357 220.582924 \nL 230.145357 220.692009 \nL 232.737459 220.608562 \nL 235.570245 220.302204 \nL 238.662978 219.737017 \nL 242.035265 218.870768 \nL 245.7066 217.654155 \nL 249.695693 216.030105 \nL 254.019561 213.933253 \nL 258.692313 211.289739 \nL 263.723534 208.017565 \nL 269.116247 204.027771 \nL 274.864282 199.226839 \nL 280.949119 193.520838 \nL 287.336062 186.821783 \nL 293.969876 179.056847 \nL 300.770064 170.18079 \nL 307.62606 160.191771 \nL 314.392993 149.14988 \nL 320.888922 137.196866 \nL 326.894673 124.573999 \nL 332.157756 111.633352 \nL 336.401763 98.83661 \nL 339.342343 86.735297 \nL 340.709861 75.928365 \nL 340.277271 66.997844 \nL 337.889831 60.430884 \nL 333.491439 56.54344 \nL 327.141581 55.425596 \nL 319.01782 56.925515 \nL 309.401582 60.678835 \nL 298.649234 66.176017 \nL 287.154173 72.848393 \nL 275.307672 80.149974 \nL 240.918445 101.761559 \nL 221.073055 113.777585 \nL 204.512797 123.410256 \nL 158.166791 149.650305 \nL 154.084111 151.67081 \nL 150.457263 153.094041 \nL 148.750635 153.585241 \nL 147.088795 153.929135 \nL 145.456324 154.124592 \nL 143.841008 154.170097 \nL 142.233635 154.064039 \nL 140.627814 153.804954 \nL 139.01981 153.391788 \nL 137.408424 152.824164 \nL 135.794875 152.102673 \nL 134.182707 151.229158 \nL 132.577701 150.207025 \nL 130.987758 149.041536 \nL 129.422815 147.740088 \nL 127.894691 146.312498 \nL 126.416933 144.771202 \nL 125.004588 143.131427 \nL 123.673949 141.411281 \nL 122.44223 139.631711 \nL 121.327195 137.816341 \nL 120.346675 135.99119 \nL 119.518099 134.184214 \nL 118.857924 132.424695 \nL 118.381055 130.742508 \nL 118.100275 129.167286 \nL 118.025665 127.727474 \nL 118.164107 126.449383 \nL 118.51885 125.3563 \nL 119.089213 124.467667 \nL 119.870393 123.798439 \nL 120.853474 123.358653 \nL 122.02557 123.153184 \nL 123.370128 123.181824 \nL 124.867394 123.439539 \nL 126.494995 123.916924 \nL 128.228576 124.600892 \nL 130.042542 125.475359 \nL 131.910734 126.522072 \nL 135.706488 129.052886 \nL 139.419934 132.031365 \nL 142.881837 135.301784 \nL 145.95815 138.72541 \nL 148.552045 142.184477 \nL 150.601019 145.581286 \nL 151.409594 147.230448 \nL 152.071002 148.834627 \nL 152.584273 150.385482 \nL 152.949342 151.875132 \nL 153.166859 153.296007 \nL 153.238024 154.640733 \nL 153.16445 155.90202 \nL 152.948036 157.072589 \nL 152.590906 158.145065 \nL 152.095327 159.111912 \nL 151.463701 159.965386 \nL 150.698555 160.697497 \nL 149.802566 161.299988 \nL 148.778621 161.764337 \nL 147.629892 162.081766 \nL 146.359952 162.243324 \nL 144.972886 162.239949 \nL 143.473464 162.062615 \nL 141.867304 161.702499 \nL 140.161077 161.151226 \nL 138.362718 160.401137 \nL 136.481655 159.445665 \nL 134.52904 158.279755 \nL 132.517968 156.900351 \nL 130.463708 155.306963 \nL 128.383875 153.502274 \nL 126.298579 151.492782 \nL 124.230497 149.289444 \nL 122.204853 146.908291 \nL 120.249299 144.370917 \nL 118.393637 141.704856 \nL 116.669402 138.943718 \nL 115.109254 136.127002 \nL 113.746213 133.299607 \nL 112.61268 130.510881 \nL 111.739365 127.813319 \nL 111.154059 125.260802 \nL 110.880376 122.906569 \nL 110.936525 120.800963 \nL 111.334203 118.989148 \nL 112.077703 117.508995 \nL 113.163328 116.389319 \nL 114.579154 115.648617 \nL 116.305216 115.294463 \nL 118.314113 115.323634 \nL 120.571989 115.722891 \nL 123.039821 116.470273 \nL 125.674918 117.536908 \nL 128.432548 118.888957 \nL 131.26752 120.48965 \nL 134.135674 122.301149 \nL 136.995179 124.286145 \nL 139.807559 126.409137 \nL 142.538436 128.63733 \nL 145.158011 130.941177 \nL 147.641257 133.294631 \nL 149.967901 135.675106 \nL 152.122199 138.063325 \nL 154.092592 140.442978 \nL 155.871258 142.800355 \nL 157.453593 145.123935 \nL 158.837704 147.404014 \nL 160.023882 149.632301 \nL 161.014104 151.801612 \nL 161.811596 153.905556 \nL 162.420422 155.938284 \nL 162.845132 157.894262 \nL 163.090474 159.768087 \nL 163.161146 161.554328 \nL 163.061609 163.247376 \nL 162.795943 164.841303 \nL 162.367751 166.329763 \nL 161.780085 167.705878 \nL 161.035435 168.962129 \nL 160.13573 170.090251 \nL 159.082385 171.081173 \nL 157.876369 171.9249 \nL 156.518305 172.610462 \nL 155.008617 173.125849 \nL 153.347678 173.457992 \nL 151.536036 173.592759 \nL 149.574628 173.51499 \nL 147.465092 173.208619 \nL 145.210073 172.656857 \nL 142.813615 171.842481 \nL 140.281573 170.748216 \nL 137.622091 169.357335 \nL 134.846126 167.654361 \nL 131.967988 165.626001 \nL 129.005903 163.262304 \nL 125.982599 160.557993 \nL 122.925794 157.514036 \nL 119.868663 154.139358 \nL 116.850103 150.452604 \nL 113.914815 146.483845 \nL 111.113083 142.27606 \nL 108.500167 137.886145 \nL 106.135264 133.385195 \nL 104.07995 128.857814 \nL 102.396089 124.400193 \nL 101.143274 120.116892 \nL 100.375834 116.116273 \nL 100.139683 112.504821 \nL 100.469121 109.380808 \nL 101.384035 106.827966 \nL 102.8877 104.909758 \nL 104.965551 103.665224 \nL 107.585067 103.106764 \nL 110.696943 103.220351 \nL 114.237364 103.96799 \nL 118.131311 105.292108 \nL 122.296447 107.121208 \nL 126.64728 109.375909 \nL 131.099164 111.974745 \nL 135.571818 114.839055 \nL 139.992172 117.89663 \nL 144.29635 121.084107 \nL 148.430832 124.348008 \nL 152.352846 127.644849 \nL 156.030127 130.940492 \nL 159.440187 134.209043 \nL 162.569278 137.431533 \nL 165.411146 140.594592 \nL 167.965747 143.689184 \nL 170.237968 146.709511 \nL 172.236428 149.652103 \nL 173.972413 152.515112 \nL 175.458937 155.297731 \nL 176.709958 157.999772 \nL 177.739727 160.621381 \nL 178.562268 163.162815 \nL 179.190981 165.624271 \nL 179.638331 168.005792 \nL 179.915637 170.307206 \nL 180.032919 172.528025 \nL 179.998804 174.667419 \nL 179.820482 176.724162 \nL 179.503683 178.69656 \nL 179.052697 180.582409 \nL 178.470392 182.378911 \nL 177.758257 184.082596 \nL 176.916454 185.689225 \nL 175.943873 187.193667 \nL 174.83819 188.589781 \nL 173.595932 189.870262 \nL 172.212552 191.026472 \nL 170.682505 192.04824 \nL 168.999346 192.923666 \nL 167.155828 193.638878 \nL 165.144047 194.177793 \nL 162.955603 194.521858 \nL 160.581804 194.649786 \nL 158.013931 194.537318 \nL 155.24357 194.157015 \nL 152.263027 193.478113 \nL 149.065858 192.466502 \nL 145.647507 191.084854 \nL 142.006113 189.293011 \nL 138.143469 187.048707 \nL 134.066178 184.308741 \nL 129.786979 181.030725 \nL 125.326284 177.175545 \nL 120.71386 172.710704 \nL 115.990594 167.614517 \nL 111.210237 161.881341 \nL 106.441 155.527524 \nL 101.766668 148.597879 \nL 97.287051 141.171946 \nL 93.117313 133.369247 \nL 89.385813 125.35218 \nL 86.230155 117.325126 \nL 83.791177 109.5285 \nL 82.204841 102.226714 \nL 81.59253 95.690004 \nL 82.050418 90.171599 \nL 83.639203 85.88291 \nL 86.375708 82.970792 \nL 90.227803 81.501277 \nL 95.113947 81.453331 \nL 100.907657 82.724211 \nL 107.446633 85.145292 \nL 114.545157 88.505094 \nL 122.008014 92.574643 \nL 129.643913 97.130604 \nL 137.276827 101.972956 \nL 144.75416 106.935591 \nL 151.951523 111.890296 \nL 158.77424 116.745426 \nL 165.156373 121.441242 \nL 171.057937 125.943648 \nL 176.461139 130.237689 \nL 181.366237 134.321713 \nL 185.787489 138.202537 \nL 189.749431 141.891749 \nL 193.283689 145.403104 \nL 196.426328 148.750735 \nL 199.215744 151.948096 \nL 201.691042 155.007358 \nL 203.890834 157.939133 \nL 207.611103 163.454704 \nL 210.650086 168.5491 \nL 219.00749 183.413548 \nL 221.411631 186.81846 \nL 222.695878 188.369015 \nL 224.052802 189.811799 \nL 225.495256 191.140461 \nL 227.035804 192.347293 \nL 228.686846 193.423054 \nL 230.460693 194.356755 \nL 232.369625 195.135436 \nL 234.425904 195.743923 \nL 236.641736 196.164536 \nL 239.029197 196.376832 \nL 241.600081 196.357317 \nL 244.365672 196.079201 \nL 247.336428 195.512176 \nL 250.521552 194.622319 \nL 253.928435 193.372102 \nL 257.561938 191.720636 \nL 261.423495 189.624217 \nL 265.510042 187.037282 \nL 269.812699 183.913921 \nL 274.315268 180.210106 \nL 278.992517 175.886764 \nL 283.808327 170.913817 \nL 288.713764 165.275298 \nL 293.645255 158.975449 \nL 298.523071 152.045563 \nL 303.250412 144.551086 \nL 307.71346 136.598058 \nL 311.78286 128.337708 \nL 315.317008 119.967711 \nL 318.167517 111.72837 \nL 320.18697 103.892482 \nL 321.238744 96.74834 \nL 321.208295 90.576491 \nL 320.014642 85.622952 \nL 317.620566 82.072669 \nL 314.039741 80.028422 \nL 309.339302 79.499477 \nL 303.636985 80.402892 \nL 297.092932 82.577359 \nL 289.897188 85.806495 \nL 282.254913 89.846667 \nL 274.371349 94.453744 \nL 266.438682 99.404645 \nL 258.626054 104.511204 \nL 251.073376 109.626344 \nL 243.888811 114.643795 \nL 237.149251 119.493572 \nL 230.902961 124.135198 \nL 225.173499 128.550457 \nL 219.964172 132.736668 \nL 215.262495 136.701093 \nL 211.04428 140.456665 \nL 207.277208 144.018869 \nL 203.923786 147.403697 \nL 200.943704 150.62635 \nL 198.295655 153.700557 \nL 195.938682 156.638234 \nL 191.941298 162.142345 \nL 188.659782 167.198208 \nL 180.778462 179.940032 \nL 178.205717 183.381164 \nL 176.849381 184.939042 \nL 175.426582 186.381578 \nL 173.923385 187.702056 \nL 172.32641 188.892367 \nL 170.622716 189.942827 \nL 168.799705 190.841999 \nL 166.845071 191.576482 \nL 164.746791 192.130689 \nL 162.49318 192.486625 \nL 160.072971 192.623658 \nL 157.475498 192.518311 \nL 154.690937 192.144102 \nL 151.710665 191.471448 \nL 148.527708 190.467687 \nL 145.137334 189.09728 \nL 141.537788 187.32225 \nL 137.731189 185.102938 \nL 133.724596 182.399218 \nL 129.531289 179.172274 \nL 125.172135 175.387 \nL 120.677182 171.015233 \nL 116.087251 166.039793 \nL 111.455475 160.459352 \nL 106.8487 154.293978 \nL 102.348373 147.590983 \nL 98.050764 140.430508 \nL 94.066121 132.929958 \nL 90.516459 125.246199 \nL 87.531629 117.574165 \nL 85.243563 110.140798 \nL 83.778669 103.193543 \nL 83.248836 96.983495 \nL 83.741724 91.744559 \nL 85.311499 87.671104 \nL 87.971367 84.89777 \nL 91.689178 83.485142 \nL 96.387191 83.414397 \nL 101.946278 84.592212 \nL 108.21428 86.864934 \nL 115.017297 90.03905 \nL 122.172333 93.903917 \nL 129.499555 98.252611 \nL 136.832724 102.898126 \nL 144.026846 107.683367 \nL 150.962726 112.48531 \nL 157.548635 117.214281 \nL 163.719613 121.810137 \nL 169.435117 126.236873 \nL 174.67567 130.47681 \nL 179.439119 134.52529 \nL 183.736882 138.386201 \nL 187.590496 142.068501 \nL 191.028589 145.583693 \nL 194.084352 148.944085 \nL 196.793497 152.161685 \nL 199.192666 155.247592 \nL 201.318248 158.211657 \nL 203.205519 161.062391 \nL 206.397406 166.451443 \nL 209.011367 171.45841 \nL 216.30685 186.272599 \nL 218.443488 189.7431 \nL 220.806127 192.848711 \nL 222.102113 194.2542 \nL 223.490133 195.553741 \nL 224.981878 196.739924 \nL 226.58916 197.803822 \nL 228.323989 198.734757 \nL 230.198614 199.520063 \nL 232.22555 200.144789 \nL 234.417538 200.591392 \nL 236.787485 200.839407 \nL 239.348321 200.865102 \nL 242.112807 200.641132 \nL 245.093231 200.136215 \nL 248.301003 199.314894 \nL 251.746126 198.137374 \nL 255.436479 196.559579 \nL 259.376944 194.533472 \nL 263.568279 192.007772 \nL 268.00577 188.92923 \nL 272.677616 185.244652 \nL 277.563017 180.903829 \nL 282.630092 175.863622 \nL 287.833552 170.093326 \nL 293.112409 163.581343 \nL 298.387806 156.343116 \nL 303.561403 148.429786 \nL 308.514608 139.936824 \nL 313.10926 131.011271 \nL 317.190292 121.855787 \nL 320.590876 112.72742 \nL 323.140407 103.929003 \nL 324.675293 95.791771 \nL 325.052039 88.649496 \nL 324.161302 82.80621 \nL 321.941217 78.502294 \nL 318.387679 75.885027 \nL 313.55951 74.990313 \nL 307.576978 75.740042 \nL 300.613429 77.956116 \nL 292.881127 81.388016 \nL 284.613484 85.747587 \nL 276.046607 90.743471 \nL 267.40279 96.109234 \nL 258.877906 101.621593 \nL 242.793904 112.447882 \nL 228.644265 122.412431 \nL 222.413107 126.980709 \nL 216.754578 131.270433 \nL 211.652649 135.295009 \nL 207.078296 139.073518 \nL 202.993663 142.627106 \nL 199.355463 145.976629 \nL 196.117643 149.141307 \nL 193.233395 152.137995 \nL 188.342966 157.681761 \nL 184.339808 162.691708 \nL 176.346847 173.131313 \nL 173.368211 176.481402 \nL 171.837309 177.967755 \nL 170.254767 179.320523 \nL 168.604425 180.53216 \nL 166.871337 181.593613 \nL 165.041653 182.494236 \nL 163.102514 183.221662 \nL 161.04203 183.761673 \nL 158.849277 184.098081 \nL 156.514382 184.212644 \nL 154.028668 184.084994 \nL 151.384856 183.692632 \nL 148.577398 183.011036 \nL 145.602861 182.013871 \nL 142.46043 180.673376 \nL 139.152542 178.960989 \nL 135.685607 176.848249 \nL 132.070858 174.308057 \nL 128.325284 171.316354 \nL 124.472662 167.854272 \nL 120.544576 163.910771 \nL 116.581423 159.485748 \nL 112.633257 154.59355 \nL 108.760384 149.266601 \nL 105.03345 143.558974 \nL 101.53298 137.549257 \nL 98.348023 131.342284 \nL 95.573847 125.068942 \nL 93.308466 118.883449 \nL 91.648099 112.95759 \nL 90.681593 107.471782 \nL 90.484279 102.603394 \nL 91.111704 98.513306 \nL 92.593998 95.332458 \nL 94.931672 93.150163 \nL 98.093484 92.006419 \nL 102.016916 91.889441 \nL 106.611331 92.738984 \nL 111.763557 94.454788 \nL 117.345203 96.908673 \nL 123.220782 99.957983 \nL 129.255736 103.458487 \nL 135.323418 107.27486 \nL 141.310559 111.288053 \nL 147.120878 115.399227 \nL 152.676866 119.530752 \nL 157.920006 123.625053 \nL 162.809776 127.642032 \nL 167.321809 131.555907 \nL 171.445584 135.351948 \nL 175.181955 139.023516 \nL 178.540711 142.56955 \nL 181.53833 145.992577 \nL 184.195991 149.297238 \nL 186.537904 152.489237 \nL 188.589928 155.574614 \nL 190.378479 158.559319 \nL 191.929695 161.448955 \nL 193.268816 164.248635 \nL 194.419752 166.962967 \nL 196.244469 172.151611 \nL 197.560516 177.042722 \nL 198.495392 181.658671 \nL 199.149427 186.018002 \nL 199.766505 192.110267 \nL 200.101627 197.707537 \nL 200.297109 204.471085 \nL 200.312517 213.289574 \nL 200.090519 221.859842 \nL 199.769543 227.023654 \nL 199.368275 230.658492 \nL 198.77334 233.899075 \nL 198.144176 236.091515 \nL 197.295311 238.091031 \nL 196.569199 239.318836 \nL 195.680281 240.461167 \nL 194.591004 241.513736 \nL 193.255042 242.467984 \nL 191.615283 243.309025 \nL 189.601419 244.012533 \nL 187.127096 244.540048 \nL 184.086643 244.83191 \nL 180.35153 244.796739 \nL 178.176197 244.615602 \nL 175.766913 244.295927 \nL 173.099786 243.809341 \nL 170.149078 243.121242 \nL 166.887308 242.189585 \nL 163.285472 240.963499 \nL 159.313419 239.381761 \nL 154.940487 237.371191 \nL 150.136436 234.845039 \nL 144.872819 231.701593 \nL 139.12491 227.823262 \nL 132.874352 223.076609 \nL 126.112719 217.313978 \nL 118.846158 210.377635 \nL 111.101303 202.107598 \nL 102.932536 192.354578 \nL 94.430493 180.999515 \nL 85.731499 167.980868 \nL 77.026991 153.329821 \nL 68.571483 137.211409 \nL 60.686717 119.966246 \nL 53.758717 102.142847 \nL 48.22432 84.505913 \nL 44.543698 68.003489 \nL 43.157727 53.67978 \nL 44.432678 42.532997 \nL 48.600063 35.33971 \nL 55.704897 32.490508 \nL 65.577352 33.892703 \nL 77.839845 38.982098 \nL 91.951563 46.846592 \nL 107.280815 56.419935 \nL 123.186368 66.67884 \nL 139.088024 76.786216 \nL 154.513131 86.155785 \nL 169.115499 94.447423 \nL 182.671551 101.520666 \nL 195.062194 107.374469 \nL 206.248808 112.091911 \nL 216.249347 115.798227 \nL 225.117866 118.632989 \nL 232.928642 120.733918 \nL 239.764777 122.228742 \nL 245.710605 123.2321 \nL 250.847027 123.845177 \nL 255.248979 124.156679 \nL 258.984372 124.244203 \nL 264.692051 124.010281 \nL 269.577853 123.415224 \nL 270.855595 123.300944 \nL 271.006151 123.405477 \nL 270.874918 123.638448 \nL 269.894568 124.520332 \nL 265.927541 127.922366 \nL 263.408103 130.3161 \nL 260.809439 133.039708 \nL 258.304462 135.983088 \nL 256.032616 139.040526 \nL 254.099672 142.116147 \nL 252.5804 145.125476 \nL 251.52318 147.99442 \nL 250.955389 150.656995 \nL 250.859156 151.891825 \nL 250.888678 153.052613 \nL 251.043684 154.132189 \nL 251.323413 155.123437 \nL 251.726685 156.019204 \nL 252.251942 156.812288 \nL 252.897267 157.495416 \nL 253.66039 158.061207 \nL 254.538664 158.502209 \nL 255.529016 158.810927 \nL 256.627876 158.979859 \nL 257.831093 159.001605 \nL 259.133825 158.868971 \nL 260.530408 158.57513 \nL 262.014223 158.113812 \nL 263.577551 157.479546 \nL 265.211395 156.667936 \nL 266.905337 155.676012 \nL 268.64738 154.502583 \nL 270.423815 153.148667 \nL 272.219104 151.617914 \nL 274.015811 149.917073 \nL 275.794577 148.05642 \nL 277.534193 146.05015 \nL 279.211722 143.9167 \nL 280.802727 141.678939 \nL 282.281651 139.364207 \nL 283.622259 137.004133 \nL 284.798238 134.634234 \nL 285.783917 132.293217 \nL 286.555053 130.022019 \nL 287.089718 127.862618 \nL 287.369184 125.856595 \nL 287.378812 124.043598 \nL 287.108833 122.45976 \nL 286.555009 121.136198 \nL 285.719068 120.097742 \nL 284.608941 119.361948 \nL 283.238677 118.938555 \nL 281.628097 118.82932 \nL 279.802194 119.028383 \nL 277.790283 119.522958 \nL 275.624988 120.294407 \nL 273.341131 121.319485 \nL 270.974558 122.571685 \nL 268.561042 124.022606 \nL 266.135269 125.643161 \nL 263.729963 127.404615 \nL 261.3752 129.279451 \nL 259.097934 131.241913 \nL 256.921679 133.268439 \nL 254.86638 135.337799 \nL 252.948453 137.431131 \nL 251.180934 139.531837 \nL 249.573724 141.625418 \nL 248.133913 143.699205 \nL 246.866133 145.742133 \nL 245.772929 147.744447 \nL 244.855131 149.697454 \nL 244.112214 151.593299 \nL 243.542619 153.424719 \nL 243.144049 155.184855 \nL 242.913732 156.867085 \nL 242.848628 158.464866 \nL 242.945614 159.971587 \nL 243.201612 161.380454 \nL 243.613692 162.684385 \nL 244.179137 163.875895 \nL 244.895464 164.947044 \nL 245.760425 165.889326 \nL 246.771963 166.693647 \nL 247.928147 167.350242 \nL 249.227075 167.848688 \nL 250.666738 168.177893 \nL 252.244852 168.326116 \nL 253.958681 168.281082 \nL 255.804785 168.030073 \nL 257.778775 167.560148 \nL 259.875005 166.858417 \nL 262.086249 165.9124 \nL 264.403351 164.710518 \nL 266.814819 163.242699 \nL 269.306472 161.501081 \nL 271.86102 159.480909 \nL 274.457717 157.181499 \nL 277.07203 154.607339 \nL 279.675408 151.769237 \nL 282.235189 148.68548 \nL 284.714646 145.382849 \nL 287.073269 141.897496 \nL 289.267306 138.275389 \nL 291.250623 134.572311 \nL 292.975875 130.853182 \nL 294.396023 127.190632 \nL 295.46614 123.662738 \nL 296.145445 120.350001 \nL 296.399471 117.331635 \nL 296.202157 114.681514 \nL 295.537766 112.464052 \nL 294.402362 110.730467 \nL 292.804713 109.515841 \nL 290.766509 108.837423 \nL 288.321749 108.694134 \nL 285.51543 109.067662 \nL 282.401534 109.924674 \nL 279.040567 111.220014 \nL 275.496813 112.900377 \nL 271.835551 114.908156 \nL 268.120502 117.184886 \nL 264.411576 119.674161 \nL 260.76316 122.323811 \nL 257.222887 125.087296 \nL 253.830966 127.92443 \nL 250.619953 130.80145 \nL 247.614947 133.690727 \nL 244.834071 136.570154 \nL 242.289184 139.422379 \nL 239.986699 142.234024 \nL 237.928475 144.99488 \nL 236.11269 147.69723 \nL 234.534686 150.335223 \nL 233.187735 152.904365 \nL 232.063704 155.401082 \nL 231.153668 157.822412 \nL 230.448384 160.165734 \nL 229.938703 162.428546 \nL 229.615892 164.608306 \nL 229.471883 166.702289 \nL 229.49946 168.707489 \nL 229.692387 170.620481 \nL 230.045498 172.43735 \nL 230.554739 174.153582 \nL 231.217184 175.763954 \nL 232.031027 177.262426 \nL 232.995535 178.642053 \nL 234.111001 179.89481 \nL 235.378658 181.011497 \nL 236.800587 181.981581 \nL 238.379593 182.793054 \nL 240.11906 183.432271 \nL 242.022776 183.883833 \nL 244.094714 184.130439 \nL 246.338779 184.152793 \nL 248.758498 183.929552 \nL 251.356657 183.437341 \nL 254.134842 182.650878 \nL 257.092919 181.543243 \nL 260.22842 180.08631 \nL 263.535811 178.251464 \nL 267.005675 176.010577 \nL 270.623786 173.337391 \nL 274.370117 170.209336 \nL 278.217766 166.609772 \nL 282.131912 162.530801 \nL 286.068839 157.976441 \nL 289.975138 152.966168 \nL 293.787252 147.53855 \nL 297.431515 141.754575 \nL 300.824854 135.700227 \nL 303.876411 129.487652 \nL 306.490159 123.254257 \nL 308.568663 117.159106 \nL 310.017946 111.376288 \nL 310.753169 106.085123 \nL 310.704867 101.458006 \nL 309.824982 97.646891 \nL 308.092106 94.770299 \nL 305.515087 92.902829 \nL 302.134382 92.06896 \nL 298.0208 92.242311 \nL 293.27159 93.350545 \nL 288.004336 95.284941 \nL 282.349387 97.912965 \nL 276.44174 101.091603 \nL 270.413348 104.679536 \nL 264.386567 108.546631 \nL 258.469292 112.580311 \nL 252.751904 116.688487 \nL 247.305975 120.799893 \nL 242.184429 124.862496 \nL 237.4228 128.840693 \nL 233.041225 132.712147 \nL 229.046783 136.464601 \nL 225.435965 140.093097 \nL 222.197038 143.597609 \nL 219.312213 146.981238 \nL 216.759518 150.248873 \nL 214.514384 153.406228 \nL 212.550932 156.459238 \nL 210.842979 159.413667 \nL 209.364805 162.274911 \nL 208.09172 165.047869 \nL 207.000446 167.73696 \nL 205.278662 172.878848 \nL 204.048318 177.727238 \nL 203.187232 182.303686 \nL 202.599908 186.62618 \nL 202.078917 192.667338 \nL 201.846255 198.217648 \nL 201.817067 204.923752 \nL 202.007454 210.913462 \nL 202.386838 216.261047 \nL 202.982321 221.030614 \nL 203.614077 224.260697 \nL 204.459375 227.212503 \nL 205.175782 229.031179 \nL 206.045772 230.731595 \nL 207.10324 232.311651 \nL 208.38989 233.765285 \nL 209.956951 235.080714 \nL 211.867245 236.237789 \nL 214.197622 237.204057 \nL 217.041754 237.928897 \nL 218.691098 238.177946 \nL 220.513177 238.334888 \nL 222.525782 238.383788 \nL 224.748293 238.305176 \nL 227.20172 238.075318 \nL 229.908706 237.665377 \nL 232.89346 237.040431 \nL 236.18161 236.158361 \nL 239.799922 234.968609 \nL 243.775846 233.410852 \nL 248.136823 231.413638 \nL 252.909274 228.893136 \nL 258.117169 225.752159 \nL 263.780054 221.879776 \nL 269.910402 217.151958 \nL 276.510122 211.433889 \nL 283.566088 204.584749 \nL 291.044594 196.466026 \nL 298.884681 186.95452 \nL 306.990529 175.961133 \nL 315.223358 163.456177 \nL 323.393706 149.500712 \nL 331.255579 134.281561 \nL 338.504585 118.144675 \nL 344.782764 101.617722 \nL 349.6931 85.409585 \nL 352.825984 70.373576 \nL 353.797968 57.425546 \nL 352.300026 47.419868 \nL 348.147873 41.003374 \nL 341.323515 38.48474 \nL 331.995754 39.762523 \nL 320.511197 44.341901 \nL 307.354745 51.439331 \nL 293.088217 60.140897 \nL 263.455426 78.970652 \nL 249.036768 87.835 \nL 235.345366 95.833842 \nL 222.593028 102.817514 \nL 210.897851 108.760888 \nL 200.303778 113.717288 \nL 190.800857 117.782016 \nL 182.343176 121.06702 \nL 174.863252 123.685375 \nL 168.282744 125.742838 \nL 162.519922 127.334161 \nL 157.494568 128.54215 \nL 153.130927 129.438199 \nL 146.116674 130.530529 \nL 140.999679 131.00298 \nL 136.079151 131.160941 \nL 133.647254 131.235138 \nL 133.060947 131.449018 \nL 133.013973 131.634463 \nL 133.318017 132.188109 \nL 135.043336 134.053446 \nL 137.458916 136.780865 \nL 139.240647 139.17871 \nL 140.267184 140.843271 \nL 141.096187 142.496013 \nL 141.684618 144.083499 \nL 142.002342 145.555087 \nL 142.030943 146.863301 \nL 141.762468 147.963989 \nL 141.198429 148.816487 \nL 140.34909 149.384085 \nL 139.233154 149.634794 \nL 137.877848 149.542688 \nL 136.319333 149.089841 \nL 134.603212 148.268853 \nL 132.785037 147.085823 \nL 130.93037 145.563557 \nL 129.114125 143.744504 \nL 127.41881 141.692746 \nL 125.931275 139.494204 \nL 124.737934 137.254259 \nL 123.918466 135.092289 \nL 123.538588 133.133038 \nL 123.528389 132.267231 \nL 123.642705 131.495722 \nL 123.882739 130.830622 \nL 124.247697 130.282278 \nL 124.734742 129.859022 \nL 125.339029 129.566997 \nL 126.05375 129.41003 \nL 126.870271 129.389603 \nL 127.778312 129.504902 \nL 129.821058 130.128779 \nL 132.076477 131.235489 \nL 134.430179 132.755459 \nL 136.768135 134.60466 \nL 138.984602 136.693042 \nL 140.987783 138.931008 \nL 142.703007 141.233698 \nL 144.073601 143.522993 \nL 145.060019 145.727976 \nL 145.637879 147.784231 \nL 145.795568 149.632644 \nL 145.716145 150.46158 \nL 145.531966 151.218169 \nL 145.244238 151.895988 \nL 144.85464 152.488766 \nL 144.365296 152.990398 \nL 143.778799 153.394931 \nL 143.098206 153.696609 \nL 142.327081 153.889908 \nL 141.469521 153.969595 \nL 140.530214 153.930831 \nL 139.514498 153.769256 \nL 137.278868 153.06337 \nL 134.821013 151.831949 \nL 132.214273 150.072961 \nL 129.548704 147.809052 \nL 126.931653 145.094549 \nL 124.486291 142.021232 \nL 122.347207 138.721153 \nL 120.652478 135.364067 \nL 120.013088 133.72532 \nL 119.532195 132.147898 \nL 119.222488 130.658136 \nL 119.094335 129.281635 \nL 119.155338 128.042479 \nL 119.409974 126.962449 \nL 119.859295 126.060309 \nL 120.50075 125.351178 \nL 121.328116 124.846103 \nL 122.331603 124.551756 \nL 123.498035 124.470382 \nL 124.811208 124.599899 \nL 126.252326 124.934235 \nL 127.800536 125.463745 \nL 129.433527 126.175823 \nL 131.128122 127.055497 \nL 134.608742 129.249928 \nL 138.061681 131.904349 \nL 141.325479 134.875548 \nL 144.267237 138.03113 \nL 146.78634 141.255042 \nL 148.813528 144.448506 \nL 150.306782 147.527904 \nL 150.846131 149.002 \nL 151.245717 150.4213 \nL 151.505408 151.777999 \nL 151.625729 153.064552 \nL 151.607725 154.273577 \nL 151.452849 155.397767 \nL 151.162883 156.429818 \nL 150.739865 157.362345 \nL 150.18607 158.187872 \nL 149.503982 158.898759 \nL 148.696317 159.487213 \nL 147.766062 159.945276 \nL 146.71654 160.264871 \nL 145.551493 160.437837 \nL 144.275191 160.456029 \nL 142.892567 160.311421 \nL 141.409361 159.996279 \nL 139.832285 159.503383 \nL 138.169205 158.826267 \nL 136.429344 157.959534 \nL 134.623447 156.899246 \nL 132.763999 155.643312 \nL 130.865365 154.192006 \nL 128.943957 152.548437 \nL 127.01834 150.719107 \nL 125.109261 148.71442 \nL 123.239622 146.549186 \nL 121.434356 144.243002 \nL 119.720186 141.820533 \nL 118.125232 139.311593 \nL 116.678502 136.750983 \nL 115.40923 134.178056 \nL 114.346068 131.635936 \nL 113.516163 129.170429 \nL 112.944138 126.828606 \nL 112.651058 124.657129 \nL 112.653374 122.700448 \nL 112.962035 120.998887 \nL 113.581687 119.586911 \nL 114.510164 118.491601 \nL 115.738245 117.731543 \nL 117.249749 117.316202 \nL 119.021967 117.245868 \nL 121.026396 117.512096 \nL 123.229779 118.098682 \nL 125.595298 118.982981 \nL 128.083892 120.137448 \nL 130.655625 121.531275 \nL 133.270947 123.131969 \nL 135.891851 124.906759 \nL 138.482828 126.823776 \nL 141.011593 128.852932 \nL 143.449598 130.966529 \nL 145.772304 133.13959 \nL 147.959264 135.349995 \nL 149.994016 137.578411 \nL 151.86387 139.808112 \nL 153.559564 142.024709 \nL 155.074868 144.21586 \nL 156.40616 146.370927 \nL 157.551986 148.480687 \nL 158.512635 150.53701 \nL 159.289735 152.532609 \nL 159.88589 154.460787 \nL 160.30435 156.315212 \nL 160.548741 158.089779 \nL 160.622832 159.77839 \nL 160.530343 161.374853 \nL 160.274806 162.872725 \nL 159.85946 164.265225 \nL 159.287193 165.545098 \nL 158.560503 166.70455 \nL 157.68152 167.735144 \nL 156.652025 168.627734 \nL 155.473534 169.372401 \nL 154.147394 169.958404 \nL 152.674917 170.374166 \nL 151.057545 170.607265 \nL 149.297051 170.644497 \nL 147.395778 170.47195 \nL 145.35691 170.075186 \nL 143.18479 169.439463 \nL 140.885266 168.550077 \nL 138.4661 167.392835 \nL 135.937369 165.954616 \nL 133.311937 164.224131 \nL 130.605912 162.192843 \nL 127.839107 159.856022 \nL 125.035461 157.213977 \nL 122.223411 154.273406 \nL 119.436133 151.048791 \nL 116.711632 147.56379 \nL 114.092606 143.852429 \nL 111.626021 139.960018 \nL 109.362348 135.943544 \nL 107.354423 131.871366 \nL 105.655864 127.822012 \nL 104.319123 123.882031 \nL 103.393185 120.142758 \nL 102.921052 116.696213 \nL 102.937138 113.630253 \nL 103.464848 111.023538 \nL 104.514544 108.940697 \nL 106.082129 107.428273 \nL 108.148452 106.512096 \nL 110.67964 106.196158 \nL 113.628423 106.463414 \nL 116.936278 107.278201 \nL 120.536284 108.5899 \nL 124.356341 110.337531 \nL 128.322515 112.454374 \nL 132.362201 114.872406 \nL 136.406867 117.526031 \nL 140.394249 120.354763 \nL 144.269853 123.305063 \nL 147.98785 126.331171 \nL 151.51135 129.395204 \nL 154.81219 132.466722 \nL 157.870356 135.521916 \nL 160.673145 138.542662 \nL 163.214154 141.515471 \nL 165.492251 144.430554 \nL 167.510505 147.280929 \nL 169.275223 150.061715 \nL 170.795034 152.769495 \nL 172.080116 155.40187 \nL 173.141509 157.957068 \nL 173.990564 160.433675 \nL 174.638482 162.83039 \nL 175.09595 165.145901 \nL 175.372877 167.378728 \nL 175.47818 169.527132 \nL 175.419645 171.589023 \nL 175.203838 173.561891 \nL 174.83605 175.442688 \nL 174.320277 177.22779 \nL 173.659229 178.912864 \nL 172.854359 180.492796 \nL 171.905901 181.96154 \nL 170.812935 183.312038 \nL 169.573461 184.536025 \nL 168.184476 185.623918 \nL 166.642085 186.564608 \nL 164.941626 187.345315 \nL 163.077806 187.951369 \nL 161.044888 188.366043 \nL 158.836895 188.570365 \nL 156.447886 188.542949 \nL 153.872267 188.259916 \nL 151.10519 187.694828 \nL 148.143031 186.818743 \nL 144.983965 185.600451 \nL 141.628673 184.006909 \nL 138.081152 182.003944 \nL 134.349675 179.557339 \nL 130.447889 176.634352 \nL 126.396 173.205801 \nL 122.22212 169.248768 \nL 117.963556 164.749933 \nL 113.668122 159.709538 \nL 109.395202 154.145884 \nL 105.216482 148.099998 \nL 101.216087 141.640089 \nL 97.489881 134.865133 \nL 94.143626 127.906641 \nL 91.289889 120.927842 \nL 89.0434 114.119217 \nL 87.515016 107.689945 \nL 86.804504 101.855121 \nL 86.992666 96.819736 \nL 88.133666 92.760962 \nL 90.248529 89.811432 \nL 93.320862 88.046277 \nL 97.295625 87.476409 \nL 102.081423 88.049446 \nL 107.556198 89.65819 \nL 113.575615 92.154933 \nL 119.983054 95.368841 \nL 126.619867 99.123343 \nL 133.334689 103.25091 \nL 139.990899 107.603629 \nL 146.471692 112.05916 \nL 152.682793 116.522433 \nL 158.553002 120.924305 \nL 164.033099 125.218124 \nL 169.093627 129.375471 \nL 173.722018 133.38176 \nL 177.919496 137.23229 \nL 181.69806 140.928945 \nL 185.077696 144.477617 \nL 188.083959 147.886332 \nL 190.745935 151.163937 \nL 193.094604 154.319287 \nL 195.161548 157.360726 \nL 196.977986 160.295842 \nL 198.574071 163.131357 \nL 201.217765 168.526249 \nL 203.298525 173.583243 \nL 204.99005 178.330132 \nL 210.366985 194.542242 \nL 211.819123 197.939515 \nL 213.458482 201.071976 \nL 215.35149 203.926462 \nL 216.414651 205.242611 \nL 217.567762 206.479446 \nL 218.820557 207.63178 \nL 220.183348 208.693225 \nL 221.6671 209.655973 \nL 223.283499 210.510556 \nL 225.044995 211.245553 \nL 226.964837 211.847261 \nL 229.057074 212.299307 \nL 231.336533 212.582219 \nL 233.818745 212.672946 \nL 236.519822 212.544329 \nL 239.456246 212.164535 \nL 242.644566 211.496494 \nL 246.100968 210.497336 \nL 249.840685 209.117953 \nL 253.877186 207.302673 \nL 258.221134 204.989281 \nL 262.879031 202.109469 \nL 267.851503 198.589981 \nL 273.131153 194.354729 \nL 278.700039 189.32823 \nL 284.526626 183.44075 \nL 290.562396 176.635482 \nL 296.738225 168.878083 \nL 302.960747 160.168551 \nL 309.109215 150.554988 \nL 315.033437 140.148152 \nL 320.553694 129.13474 \nL 325.463555 117.786195 \nL 329.536666 106.459217 \nL 332.538235 95.583732 \nL 334.241397 85.635302 \nL 334.447655 77.091876 \nL 333.009322 70.378818 \nL 329.850635 65.811619 \nL 324.983323 63.548695 \nL 318.512981 63.566955 \nL 310.633612 65.667765 \nL 301.610644 69.512727 \nL 291.75518 74.679788 \nL 281.39435 80.72534 \nL 270.843087 87.237999 \nL 250.241348 100.378121 \nL 202.550529 131.07477 \nL 192.0829 138.12434 \nL 183.796035 144.032376 \nL 177.213114 149.036748 \nL 163.483695 159.904087 \nL 159.827069 162.2964 \nL 158.036657 163.258604 \nL 156.243201 164.058394 \nL 154.429179 164.689414 \nL 152.579816 165.144257 \nL 150.682945 165.414613 \nL 148.728908 165.491431 \nL 146.71052 165.3651 \nL 144.623068 165.025694 \nL 142.464368 164.463269 \nL 140.234863 163.668199 \nL 137.93776 162.631643 \nL 135.579204 161.346101 \nL 133.168493 159.80602 \nL 130.718269 158.008568 \nL 128.244714 155.954445 \nL 125.767744 153.648817 \nL 123.311092 151.102244 \nL 120.902311 148.331625 \nL 118.57266 145.361034 \nL 116.356821 142.222385 \nL 114.292362 138.955811 \nL 112.419004 135.609654 \nL 110.777618 132.239926 \nL 109.408943 128.90916 \nL 108.35209 125.684674 \nL 107.642863 122.636144 \nL 107.31194 119.832712 \nL 107.383143 117.339703 \nL 107.8718 115.21529 \nL 108.78347 113.507399 \nL 110.11304 112.251148 \nL 111.844454 111.467126 \nL 113.950973 111.160677 \nL 116.396112 111.322364 \nL 119.135118 111.929369 \nL 122.116875 112.947775 \nL 125.286095 114.335376 \nL 128.585628 116.044705 \nL 131.958643 118.025967 \nL 135.350646 120.229631 \nL 138.7111 122.608514 \nL 141.99467 125.119269 \nL 145.162024 127.72332 \nL 148.180239 130.387248 \nL 151.022849 133.082789 \nL 153.669582 135.786509 \nL 156.105899 138.479334 \nL 158.322376 141.145934 \nL 160.313993 143.774096 \nL 162.079397 146.354132 \nL 163.620184 148.878308 \nL 164.940212 151.340406 \nL 166.044962 153.735271 \nL 166.940996 156.058482 \nL 167.63547 158.306101 \nL 168.135744 160.474409 \nL 168.449029 162.559733 \nL 168.582152 164.558287 \nL 168.541336 166.466037 \nL 168.332059 168.278581 \nL 167.958947 169.991036 \nL 167.425729 171.597913 \nL 166.735193 173.093037 \nL 165.889206 174.469409 \nL 164.888744 175.719117 \nL 163.733955 176.833192 \nL 162.424241 177.801512 \nL 160.958375 178.612676 \nL 159.334638 179.253888 \nL 157.550988 179.710855 \nL 155.605272 179.967705 \nL 153.495476 180.006957 \nL 151.220015 179.809487 \nL 148.778079 179.354645 \nL 146.170058 178.620384 \nL 143.398011 177.583598 \nL 140.466235 176.220578 \nL 137.381879 174.507694 \nL 134.155672 172.422336 \nL 130.802692 169.94417 \nL 127.34319 167.056709 \nL 123.803445 163.749264 \nL 120.216563 160.019258 \nL 116.623215 155.874793 \nL 113.072142 151.337451 \nL 109.620405 146.445021 \nL 106.333179 141.253928 \nL 103.282959 135.840955 \nL 100.548103 130.303801 \nL 98.210525 124.759967 \nL 96.352554 119.343636 \nL 95.052981 114.200241 \nL 94.382517 109.478807 \nL 94.398893 105.322548 \nL 95.142147 101.858599 \nL 96.63055 99.18811 \nL 98.857784 97.378127 \nL 101.791802 96.456571 \nL 105.375641 96.411041 \nL 109.530251 97.191808 \nL 114.15905 98.718399 \nL 119.153661 100.888549 \nL 124.400242 103.588209 \nL 129.785672 106.701087 \nL 135.202992 110.116628 \nL 140.555713 113.735686 \nL 145.760758 117.473948 \nL 150.75005 121.26312 \nL 155.470884 125.05045 \nL 159.885337 128.797175 \nL 163.968967 132.476341 \nL 167.709115 136.070466 \nL 171.102975 139.5693 \nL 174.155669 142.967857 \nL 176.878403 146.264801 \nL 179.286815 149.46116 \nL 181.399528 152.5594 \nL 183.236946 155.56276 \nL 184.820264 158.474767 \nL 186.170691 161.29896 \nL 187.308852 164.038729 \nL 188.254354 166.697201 \nL 189.025474 169.277211 \nL 189.638964 171.781294 \nL 190.109935 174.211686 \nL 190.676294 178.859008 \nL 190.811842 183.231957 \nL 190.578434 187.339637 \nL 190.014869 191.187559 \nL 189.139437 194.777226 \nL 187.952161 198.105256 \nL 186.436487 201.161906 \nL 185.546066 202.583154 \nL 184.560333 203.92886 \nL 183.472927 205.19488 \nL 182.276546 206.376069 \nL 180.962937 207.466107 \nL 179.522891 208.457295 \nL 177.946227 209.340317 \nL 176.221799 210.103947 \nL 174.337498 210.734744 \nL 172.280284 211.216669 \nL 170.036234 211.530671 \nL 167.590638 211.654223 \nL 164.928142 211.560811 \nL 162.032965 211.219397 \nL 158.889206 210.593858 \nL 155.481277 209.642479 \nL 151.794479 208.3175 \nL 147.815793 206.564824 \nL 143.534894 204.324032 \nL 138.945463 201.528801 \nL 134.046841 198.108014 \nL 128.846083 193.987761 \nL 123.360418 189.094616 \nL 117.620148 183.360506 \nL 111.671911 176.72955 \nL 105.582197 169.167128 \nL 99.440833 160.671168 \nL 93.36405 151.285291 \nL 87.496547 141.112806 \nL 82.011699 130.329564 \nL 77.109061 119.192853 \nL 73.00809 108.042609 \nL 69.937471 97.29092 \nL 68.119667 87.396996 \nL 67.751525 78.8269 \nL 68.982739 72.001728 \nL 71.895231 67.242369 \nL 76.487397 64.72269 \nL 82.666901 64.443118 \nL 90.254541 66.232648 \nL 98.999365 69.779812 \nL 108.602606 74.68443 \nL 118.746013 80.517044 \nL 129.119492 86.872128 \nL 149.485213 99.853801 \nL 190.885822 126.661139 \nL 202.659426 134.539713 \nL 212.029584 141.141678 \nL 219.449201 146.735282 \nL 225.382062 151.517577 \nL 236.330648 160.604123 \nL 239.977501 163.183045 \nL 241.762098 164.241724 \nL 243.550094 165.140103 \nL 245.359821 165.871734 \nL 247.206939 166.428995 \nL 249.104568 166.803234 \nL 251.063396 166.984902 \nL 253.091727 166.963678 \nL 255.19548 166.728711 \nL 257.378145 166.268841 \nL 259.640661 165.572942 \nL 261.981275 164.630326 \nL 264.395341 163.431236 \nL 266.875102 161.967511 \nL 269.409423 160.233293 \nL 271.983524 158.225908 \nL 274.578774 155.946814 \nL 277.17245 153.402665 \nL 279.737658 150.606377 \nL 282.243325 147.578205 \nL 284.654355 144.346636 \nL 286.932029 140.949098 \nL 289.034613 137.432279 \nL 290.918312 133.851917 \nL 292.538446 130.272026 \nL 293.851002 126.763317 \nL 294.814405 123.400938 \nL 295.391456 120.261475 \nL 295.551387 117.419425 \nL 295.271788 114.943357 \nL 294.540321 112.892189 \nL 293.355999 111.311846 \nL 291.729897 110.232732 \nL 289.685198 109.668363 \nL 287.256508 109.615193 \nL 284.488478 110.053796 \nL 281.433856 110.951062 \nL 278.151136 112.263276 \nL 274.701975 113.939494 \nL 271.148616 115.925106 \nL 267.551542 118.164957 \nL 263.967436 120.60596 \nL 260.44761 123.19904 \nL 257.036949 125.900413 \nL 253.773288 128.672155 \nL 250.687259 131.48231 \nL 247.802489 134.304566 \nL 245.13607 137.117719 \nL 242.699219 139.904989 \nL 240.498066 142.653254 \nL 238.534472 145.352366 \nL 236.806856 147.994505 \nL 235.310974 150.573599 \nL 234.040648 153.084842 \nL 232.988394 155.524321 \nL 232.145974 157.888686 \nL 231.504865 160.174898 \nL 231.056635 162.380026 \nL 230.793247 164.501083 \nL 230.707301 166.534881 \nL 230.792201 168.477918 \nL 231.042282 170.32628 \nL 231.452888 172.075504 \nL 232.020416 173.720503 \nL 232.742318 175.255444 \nL 233.617092 176.673647 \nL 234.644233 177.967463 \nL 235.824164 179.12814 \nL 237.158159 180.145699 \nL 238.648224 181.0088 \nL 240.296963 181.704604 \nL 242.10741 182.218629 \nL 244.082829 182.534654 \nL 246.226478 182.634622 \nL 248.54132 182.498587 \nL 251.029673 182.104743 \nL 253.692799 181.429503 \nL 256.530429 180.447762 \nL 259.540174 179.13327 \nL 262.716881 177.459279 \nL 266.051871 175.399393 \nL 269.532105 172.928798 \nL 273.13926 170.025878 \nL 276.848757 166.674196 \nL 280.628796 162.865 \nL 284.439434 158.600045 \nL 288.231825 153.894799 \nL 291.947743 148.781748 \nL 295.51952 143.313481 \nL 298.870569 137.565256 \nL 301.916692 131.636348 \nL 304.568261 125.64973 \nL 306.733452 119.749454 \nL 308.322445 114.095305 \nL 309.252488 108.854707 \nL 309.453499 104.192182 \nL 308.873746 100.257306 \nL 307.484894 97.172658 \nL 305.285876 95.023337 \nL 302.304802 93.849873 \nL 298.598653 93.645791 \nL 294.250522 94.36013 \nL 289.364675 95.904724 \nL 284.060038 98.164582 \nL 278.462855 101.009912 \nL 272.699395 104.307721 \nL 266.889451 107.931524 \nL 261.141175 111.768402 \nL 255.547537 115.72308 \nL 250.184417 119.719297 \nL 245.110156 123.699173 \nL 240.366269 127.621185 \nL 235.978966 131.457472 \nL 231.961179 135.190955 \nL 228.31478 138.812616 \nL 225.032838 142.319193 \nL 222.101718 145.711249 \nL 219.502963 148.99174 \nL 217.214913 152.164965 \nL 215.214055 155.235807 \nL 213.476094 158.209293 \nL 211.976808 161.090261 \nL 210.692675 163.883227 \nL 209.601335 166.592325 \nL 208.681895 169.221275 \nL 207.28356 174.251701 \nL 206.365084 178.997261 \nL 205.821809 183.476499 \nL 205.574791 187.704857 \nL 205.567514 191.69552 \nL 205.762423 195.459803 \nL 206.137796 199.007323 \nL 206.685197 202.345918 \nL 207.407612 205.481359 \nL 208.318257 208.416839 \nL 209.44003 211.152163 \nL 210.805546 213.682553 \nL 212.457703 215.996895 \nL 214.450716 218.075222 \nL 215.595429 219.01634 \nL 216.851555 219.885016 \nL 218.229747 220.674357 \nL 219.741672 221.375917 \nL 221.400075 221.979381 \nL 223.218824 222.472225 \nL 225.212947 222.839291 \nL 227.398643 223.062306 \nL 229.793266 223.119322 \nL 232.415263 222.984079 \nL 235.284054 222.625295 \nL 238.419815 222.005867 \nL 241.843158 221.082059 \nL 245.574654 219.802657 \nL 249.634152 218.108196 \nL 254.039834 215.93036 \nL 258.806963 213.191708 \nL 263.946191 209.805968 \nL 269.461392 205.679223 \nL 275.346941 200.712383 \nL 281.584293 194.805516 \nL 288.137945 187.864633 \nL 294.95076 179.8115 \nL 301.938828 170.597065 \nL 308.98631 160.218553 \nL 315.940832 148.739661 \nL 322.610411 136.312045 \nL 328.763296 123.194792 \nL 334.132217 109.766567 \nL 338.424682 96.523754 \nL 341.340514 84.057905 \nL 342.59661 73.00787 \nL 341.957435 63.988172 \nL 339.267058 57.502886 \nL 334.477199 53.863358 \nL 327.664303 53.131976 \nL 319.030351 55.110274 \nL 308.885378 59.37755 \nL 297.614391 65.36947 \nL 285.635477 72.473666 \nL 261.14783 87.824774 \nL 249.306209 95.249482 \nL 238.059333 102.167959 \nL 227.560146 108.463073 \nL 217.896579 114.096932 \nL 201.175142 123.471726 \nL 187.756543 130.691093 \nL 165.45096 142.341984 \nL 157.143176 146.504033 \nL 152.822544 148.445048 \nL 149.119683 149.801842 \nL 145.814145 150.607576 \nL 144.259365 150.808926 \nL 142.749873 150.877393 \nL 141.274624 150.813748 \nL 139.825471 150.61883 \nL 138.396932 150.293787 \nL 136.986011 149.840298 \nL 135.592009 149.260786 \nL 134.216363 148.558661 \nL 131.535681 146.806319 \nL 128.992311 144.637599 \nL 126.6584 142.133833 \nL 124.623262 139.405798 \nL 122.985046 136.592388 \nL 121.840452 133.854178 \nL 121.480201 132.566588 \nL 121.272962 131.361666 \nL 121.22512 130.259615 \nL 121.340802 129.279117 \nL 121.621626 128.436777 \nL 122.066494 127.746651 \nL 122.671508 127.219847 \nL 123.429988 126.864236 \nL 124.332528 126.684298 \nL 125.367215 126.681129 \nL 126.519907 126.852545 \nL 127.774563 127.19333 \nL 129.113687 127.695587 \nL 131.970542 129.141951 \nL 134.937764 131.091052 \nL 137.86672 133.427565 \nL 140.623761 136.033663 \nL 143.097278 138.79762 \nL 145.200769 141.618489 \nL 146.872519 144.407326 \nL 148.072927 147.086294 \nL 148.780629 149.586463 \nL 148.946992 150.749769 \nL 148.988331 151.845258 \nL 148.90533 152.865686 \nL 148.699141 153.803926 \nL 148.371329 154.652912 \nL 147.923818 155.405604 \nL 147.358897 156.054971 \nL 146.679198 156.593962 \nL 145.887727 157.015565 \nL 144.987907 157.31278 \nL 143.983633 157.478723 \nL 142.87935 157.506679 \nL 141.68016 157.390215 \nL 140.391907 157.123327 \nL 139.02132 156.70062 \nL 137.576127 156.117511 \nL 136.065195 155.370489 \nL 134.498664 154.457395 \nL 132.888062 153.377759 \nL 131.246424 152.133138 \nL 129.588373 150.727491 \nL 127.930152 149.16755 \nL 126.289642 147.463171 \nL 124.686292 145.627648 \nL 123.140983 143.677956 \nL 121.6758 141.634899 \nL 120.313731 139.523084 \nL 119.078242 137.370766 \nL 117.992759 135.209481 \nL 117.080071 133.073427 \nL 116.361646 130.998689 \nL 115.856889 129.022207 \nL 115.582375 127.180611 \nL 115.551145 125.508924 \nL 115.77202 124.039264 \nL 116.249045 122.799603 \nL 116.981121 121.812681 \nL 117.961782 121.095147 \nL 119.179263 120.657066 \nL 120.616728 120.501709 \nL 122.252777 120.625745 \nL 124.062104 121.019785 \nL 126.016322 121.669135 \nL 128.084901 122.554812 \nL 130.236144 123.654636 \nL 132.438117 124.944307 \nL 134.659538 126.398499 \nL 136.87056 127.991741 \nL 141.152803 131.497264 \nL 145.094807 135.279001 \nL 148.553971 139.183421 \nL 150.070927 141.141926 \nL 151.434729 143.086916 \nL 152.639761 145.006956 \nL 153.682402 146.891847 \nL 154.560702 148.732389 \nL 155.274086 150.520198 \nL 155.823059 152.247504 \nL 156.208947 153.906961 \nL 156.433663 155.491501 \nL 156.499506 156.994178 \nL 156.409004 158.408047 \nL 156.164772 159.726042 \nL 155.769427 160.940883 \nL 155.225531 162.04498 \nL 154.535552 163.030369 \nL 153.701873 163.888657 \nL 152.726823 164.610961 \nL 151.612754 165.187895 \nL 150.362117 165.609557 \nL 148.977597 165.865585 \nL 147.462263 165.945177 \nL 145.819757 165.837218 \nL 144.054497 165.530444 \nL 142.171927 165.013652 \nL 140.178782 164.275983 \nL 138.083379 163.307321 \nL 135.895926 162.098767 \nL 133.628867 160.643187 \nL 131.297168 158.935922 \nL 128.918652 156.975558 \nL 126.514265 154.764794 \nL 124.108283 152.311355 \nL 121.728423 149.628918 \nL 119.405861 146.738015 \nL 117.175035 143.666753 \nL 115.073297 140.45132 \nL 113.140294 137.136159 \nL 111.41712 133.773643 \nL 109.945181 130.423237 \nL 108.764831 127.149984 \nL 107.913762 124.022409 \nL 107.425299 121.109819 \nL 107.326608 118.479182 \nL 107.637036 116.191814 \nL 108.366684 114.30014 \nL 109.515331 112.844895 \nL 111.071893 111.853005 \nL 113.014442 111.336461 \nL 115.310874 111.29225 \nL 117.920138 111.703292 \nL 120.793948 112.540433 \nL 123.878894 113.764994 \nL 127.118671 115.33172 \nL 130.456351 117.191755 \nL 133.836462 119.295434 \nL 137.206797 121.594544 \nL 140.519796 124.044095 \nL 143.733574 126.603472 \nL 146.812481 129.237072 \nL 149.727296 131.914447 \nL 152.455104 134.610116 \nL 154.978917 137.303173 \nL 157.287125 139.976693 \nL 159.372819 142.617145 \nL 161.233072 145.213754 \nL 162.868207 147.757963 \nL 164.281098 150.242886 \nL 165.476514 152.662897 \nL 166.460534 155.013251 \nL 167.240047 157.289784 \nL 167.822299 159.48866 \nL 168.214551 161.606171 \nL 168.423776 163.638556 \nL 168.456437 165.581867 \nL 168.318319 167.43183 \nL 168.014402 169.183752 \nL 167.548794 170.832383 \nL 166.92468 172.371829 \nL 166.14432 173.795419 \nL 165.209078 175.095616 \nL 164.11946 176.26389 \nL 162.875203 177.290596 \nL 161.475366 178.164882 \nL 159.918459 178.874528 \nL 158.202604 179.405888 \nL 156.325731 179.743769 \nL 154.285801 179.871385 \nL 152.08109 179.770329 \nL 149.710501 179.420628 \nL 147.173972 178.800862 \nL 144.472909 177.888436 \nL 141.610713 176.659943 \nL 138.593388 175.091796 \nL 135.430214 173.161041 \nL 132.134482 170.846472 \nL 128.724322 168.130067 \nL 125.22351 164.998809 \nL 121.662327 161.446806 \nL 118.078288 157.477781 \nL 114.516763 153.107745 \nL 111.031325 148.367785 \nL 107.683727 143.306603 \nL 104.543376 137.992562 \nL 101.686142 132.514694 \nL 99.192396 126.982345 \nL 97.144223 121.522856 \nL 95.621815 116.277085 \nL 94.699143 111.392698 \nL 94.439208 107.015381 \nL 94.889227 103.278951 \nL 96.076303 100.295196 \nL 98.00405 98.145003 \nL 100.650772 96.871999 \nL 103.969494 96.479851 \nL 107.889964 96.933562 \nL 112.322548 98.16465 \nL 117.163514 100.079243 \nL 122.301161 102.567747 \nL 127.622062 105.514622 \nL 133.016838 108.806967 \nL 138.384914 112.341199 \nL 143.63799 116.027302 \nL 148.70217 119.79083 \nL 153.518796 123.573108 \nL 158.04421 127.330041 \nL 162.24874 131.030191 \nL 166.115144 134.65246 \nL 169.636766 138.183831 \nL 172.815608 141.61729 \nL 175.660462 144.95006 \nL 178.185179 148.182229 \nL 180.40715 151.315671 \nL 182.346004 154.353264 \nL 184.022544 157.298374 \nL 185.457886 160.154497 \nL 186.672795 162.925022 \nL 187.687184 165.613128 \nL 188.519758 168.221719 \nL 189.187777 170.753398 \nL 189.706901 173.210469 \nL 190.352735 177.90864 \nL 190.549039 182.329407 \nL 190.361799 186.482154 \nL 189.833402 190.372588 \nL 188.985155 194.002364 \nL 187.819578 197.368255 \nL 186.322178 200.460684 \nL 185.440163 201.899109 \nL 184.462613 203.261568 \nL 183.383348 204.543959 \nL 182.195244 205.74119 \nL 180.89022 206.847013 \nL 179.459237 207.85381 \nL 177.892285 208.752369 \nL 176.17839 209.531595 \nL 174.305622 210.178199 \nL 172.261121 210.676337 \nL 170.031156 211.007191 \nL 167.601212 211.148523 \nL 164.956138 211.074167 \nL 162.080362 210.753505 \nL 158.958182 210.15092 \nL 155.574207 209.225296 \nL 151.913921 207.929566 \nL 147.964453 206.210443 \nL 143.715573 204.008414 \nL 139.160986 201.258162 \nL 134.299955 197.889633 \nL 129.139289 193.829985 \nL 123.695787 189.006776 \nL 117.999054 183.352712 \nL 112.094717 176.812286 \nL 106.047842 169.350603 \nL 99.946407 160.96441 \nL 93.904297 151.694912 \nL 88.063384 141.641485 \nL 82.593813 130.974357 \nL 77.691635 119.943549 \nL 73.572871 108.880436 \nL 70.463162 98.188118 \nL 68.582841 88.317593 \nL 68.12807 79.729013 \nL 69.249689 72.841473 \nL 72.0329 67.978788 \nL 76.481406 65.322843 \nL 82.509731 64.886192 \nL 89.946318 66.512066 \nL 98.547683 69.902854 \nL 108.021405 74.669681 \nL 118.053792 80.390422 \nL 128.337206 86.662599 \nL 148.585805 99.560285 \nL 183.037839 121.901463 \nL 196.177672 130.599176 \nL 206.729109 137.879584 \nL 215.094874 144.027888 \nL 221.737571 149.27717 \nL 229.431947 155.797256 \nL 235.511421 160.919582 \nL 239.151412 163.591672 \nL 240.931528 164.698801 \nL 242.714833 165.646951 \nL 244.520055 166.429654 \nL 246.363287 167.039262 \nL 248.25812 167.467014 \nL 250.215753 167.703172 \nL 252.245053 167.737148 \nL 254.352548 167.557707 \nL 256.542384 167.153183 \nL 258.816216 166.511765 \nL 261.173053 165.621916 \nL 263.609055 164.472853 \nL 266.117298 163.055147 \nL 268.687487 161.361466 \nL 271.305674 159.387424 \nL 273.954007 157.132577 \nL 276.61046 154.601498 \nL 279.248675 151.804927 \nL 281.837911 148.76091 \nL 284.343126 145.495861 \nL 286.725302 142.045393 \nL 288.941995 138.454822 \nL 290.94819 134.779185 \nL 292.697471 131.082599 \nL 294.143547 127.436913 \nL 295.242014 123.91952 \nL 295.952406 120.610388 \nL 296.240327 117.588451 \nL 296.07955 114.927581 \nL 295.453951 112.692527 \nL 294.358989 110.935183 \nL 292.802672 109.691625 \nL 290.8058 108.980284 \nL 288.401451 108.801451 \nL 285.633688 109.138185 \nL 282.555653 109.95847 \nL 279.227125 111.218319 \nL 275.711817 112.865365 \nL 272.07465 114.842686 \nL 268.379153 117.092232 \nL 264.685244 119.557765 \nL 261.047476 122.187108 \nL 257.513777 124.933558 \nL 254.12474 127.756646 \nL 250.913371 130.622283 \nL 247.905247 133.50249 \nL 245.118978 136.374791 \nL 242.566887 139.221517 \nL 240.255824 142.028991 \nL 238.188039 144.786747 \nL 236.362059 147.486852 \nL 234.773514 150.123279 \nL 233.415922 152.691375 \nL 232.281346 155.18745 \nL 231.361012 157.608455 \nL 230.645793 159.951682 \nL 230.126616 162.214572 \nL 229.794798 164.394528 \nL 229.642296 166.488794 \nL 229.661895 168.494311 \nL 229.847347 170.407645 \nL 230.193455 172.224857 \nL 230.696127 173.941415 \nL 231.35239 175.552086 \nL 232.160379 177.050833 \nL 233.119297 178.430691 \nL 234.22937 179.683653 \nL 235.491757 180.800529 \nL 236.908463 181.770802 \nL 238.482214 182.582496 \nL 240.216307 183.222005 \nL 242.11444 183.673986 \nL 244.180492 183.921201 \nL 246.418273 183.944437 \nL 248.831215 183.722463 \nL 251.421999 183.232051 \nL 254.192108 182.448072 \nL 257.141314 181.343795 \nL 260.267046 179.891324 \nL 263.563685 178.062293 \nL 267.021739 175.828858 \nL 270.626934 173.165075 \nL 274.359213 170.048686 \nL 278.191696 166.463382 \nL 282.089644 162.40155 \nL 286.009476 157.867446 \nL 289.898019 152.880683 \nL 293.692029 147.479821 \nL 297.318268 141.725643 \nL 300.694193 135.703678 \nL 303.729589 129.525355 \nL 306.329159 123.327049 \nL 308.396261 117.266543 \nL 309.837705 111.516408 \nL 310.569417 106.254381 \nL 310.522532 101.651296 \nL 309.64944 97.857773 \nL 307.928901 94.991442 \nL 305.369631 93.126524 \nL 302.011648 92.287705 \nL 297.925027 92.449391 \nL 293.206052 93.540461 \nL 287.971207 95.453736 \nL 282.349699 98.058292 \nL 276.475426 101.212641 \nL 270.479377 104.77673 \nL 264.483127 108.621436 \nL 258.594019 112.634817 \nL 252.902085 116.725145 \nL 247.478748 120.821253 \nL 242.376951 124.871018 \nL 237.632381 128.838654 \nL 233.265407 132.701544 \nL 229.283412 136.447163 \nL 225.683218 140.070264 \nL 222.453438 143.570562 \nL 219.576615 146.950936 \nL 217.0311 150.216078 \nL 214.792623 153.371558 \nL 212.835576 156.423171 \nL 211.134024 159.37659 \nL 209.662471 162.237114 \nL 208.396429 165.009592 \nL 207.312801 167.698384 \nL 205.608766 172.840067 \nL 204.400427 177.688568 \nL 203.566696 182.265282 \nL 203.013176 186.588058 \nL 202.668559 190.67233 \nL 202.433371 196.381307 \nL 202.439209 201.625823 \nL 202.625556 206.44275 \nL 202.969875 210.864959 \nL 203.477382 214.921344 \nL 204.176001 218.636311 \nL 204.771511 220.932804 \nL 205.494072 223.089717 \nL 206.369606 225.108669 \nL 207.430386 226.988457 \nL 208.716276 228.723923 \nL 210.276276 230.304267 \nL 212.170421 231.710522 \nL 214.472011 232.911858 \nL 215.802759 233.421493 \nL 217.27018 233.860071 \nL 218.888349 234.217538 \nL 220.67267 234.481561 \nL 222.63997 234.637062 \nL 224.808546 234.665655 \nL 227.198207 234.544994 \nL 229.830264 234.248003 \nL 232.727479 233.741988 \nL 235.913906 232.987626 \nL 239.414647 231.937855 \nL 243.255422 230.536679 \nL 247.461938 228.717952 \nL 252.05897 226.404245 \nL 257.069062 223.505971 \nL 262.510748 219.921031 \nL 268.396174 215.535329 \nL 274.727978 210.224744 \nL 281.495297 203.859228 \nL 288.668809 196.309932 \nL 296.194801 187.460366 \nL 303.988352 177.222591 \nL 311.92603 165.55905 \nL 319.838788 152.509887 \nL 327.506339 138.223983 \nL 334.654701 122.989485 \nL 340.959337 107.256634 \nL 346.056305 91.642621 \nL 349.563849 76.906876 \nL 351.11494 63.888101 \nL 350.399202 53.402384 \nL 347.208685 46.115911 \nL 341.47854 42.421106 \nL 333.311977 42.353359 \nL 322.980743 45.579309 \nL 310.897964 51.465316 \nL 297.568234 59.205432 \nL 283.526687 67.967774 \nL 269.280995 77.016849 \nL 255.267704 85.786282 \nL 241.828045 93.898933 \nL 229.202361 101.148148 \nL 217.538209 107.459106 \nL 206.906131 112.846368 \nL 197.317953 117.377252 \nL 188.744149 121.144557 \nL 188.744149 121.144557 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p7da65669b6\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.152427pt\" version=\"1.1\" viewBox=\"0 0 293.288722 285.152427\" width=\"293.288722pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T00:26:20.670942</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.152427 \nL 293.288722 285.152427 \nL 293.288722 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 37.072619 210.891238 \nL 124.43566 136.728027 \nL 123.605826 30.249318 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 67.279821 220.75691 \nL 153.015685 145.035112 \nL 153.41141 37.804165 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 98.153087 230.840118 \nL 182.173192 153.510049 \nL 183.845523 45.518326 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 129.714694 241.148139 \nL 211.925865 162.157976 \nL 214.928257 53.396893 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 161.98792 251.688574 \nL 242.292112 170.984245 \nL 246.680571 61.445179 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 37.833388 210.245415 \nL 35.547817 212.185655 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(18.991944 234.205402)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 68.027082 220.09693 \nL 65.782058 222.079732 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(49.23029 244.280178)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 98.886056 230.165512 \nL 96.683934 232.192291 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(87.509015 254.577945)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 130.432545 240.458413 \nL 128.275807 242.53065 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(115.927151 265.106191)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 162.689782 250.983216 \nL 160.581048 253.102456 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(148.241777 275.87274)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 39.07164 82.445219 \nL 43.662294 193.976486 \nL 191.62022 241.283551 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 53.897696 71.625839 \nL 57.786234 182.13752 \nL 204.4095 228.158603 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 68.316152 61.103906 \nL 71.538442 170.610146 \nL 216.844736 215.396992 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 82.34359 50.867321 \nL 84.933402 159.382225 \nL 228.940428 202.983836 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 95.995703 40.90463 \nL 97.984857 148.442237 \nL 240.710296 190.905057 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.287356 31.204988 \nL 110.705853 137.779246 \nL 252.167329 179.147322 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 190.374015 240.885098 \nL 194.115819 242.081477 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(193.823141 262.163168)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 203.175407 227.771255 \nL 206.880802 228.934278 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(206.440761 248.84403)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 215.622565 215.02029 \nL 219.29212 216.151334 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(226.079981 235.893817)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 227.729993 202.617348 \nL 231.36427 203.717713 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(234.831685 223.297411)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 239.511412 190.548372 \nL 243.110967 191.61929 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(246.443019 211.040507)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 250.979814 178.800053 \nL 254.545197 179.84269 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(257.745562 199.109562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.149177 153.99818 \nL 114.938049 113.676244 \nL 26.256405 186.165691 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.028997 134.785178 \nL 114.724272 95.085634 \nL 25.308277 166.4772 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.922587 115.27144 \nL 114.50731 76.218075 \nL 24.344736 146.468647 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.830276 95.449848 \nL 114.287092 57.067332 \nL 23.365403 126.132164 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.752397 75.313061 \nL 114.063543 37.626982 \nL 22.369887 105.459622 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.955156 153.659633 \nL 259.540085 154.676088 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.188335 159.032937)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 256.825352 134.451734 \nL 260.439195 135.452873 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.207937 139.858633)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 257.709164 114.943301 \nL 261.35239 115.928517 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.243451 120.385121)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 258.606914 95.127224 \nL 262.280003 96.095888 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.29525 100.605342)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 259.518933 74.99617 \nL 263.222379 75.947628 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 50 -->\n     <g transform=\"translate(273.363722 80.512012)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_21\">\n    <path clip-path=\"url(#p4843e05dfb)\" d=\"M 143.53689 190.668891 \nL 143.728613 189.882873 \nL 144.196799 189.297395 \nL 144.917652 188.803073 \nL 146.49583 188.070397 \nL 160.425526 182.382307 \nL 165.251778 180.078576 \nL 171.162848 176.981487 \nL 178.327159 172.806964 \nL 182.422278 170.205448 \nL 186.871725 167.193101 \nL 191.672896 163.715023 \nL 196.80853 159.716145 \nL 202.241047 155.145587 \nL 207.905626 149.963344 \nL 213.702122 144.149916 \nL 219.486308 137.719407 \nL 225.061393 130.736208 \nL 230.171651 123.334469 \nL 234.501039 115.737909 \nL 237.680845 108.275088 \nL 239.311251 101.382061 \nL 239.001239 95.581702 \nL 236.428108 91.429003 \nL 231.410628 89.418116 \nL 223.979325 89.862529 \nL 214.417368 92.781805 \nL 203.245517 97.844609 \nL 191.141454 104.409168 \nL 155.774817 125.21276 \nL 145.748279 130.508095 \nL 136.881674 134.554412 \nL 129.147109 137.391357 \nL 122.457465 139.159191 \nL 116.704248 140.03646 \nL 111.780409 140.200414 \nL 107.591494 139.807667 \nL 104.059353 138.988574 \nL 101.121745 137.849113 \nL 98.730008 136.475806 \nL 96.845971 134.941133 \nL 95.438731 133.308178 \nL 94.481627 131.633977 \nL 93.949553 129.971511 \nL 93.816773 128.370504 \nL 94.055261 126.87726 \nL 94.633664 125.533794 \nL 95.516872 124.376633 \nL 96.666192 123.435534 \nL 98.040035 122.732405 \nL 99.594974 122.280631 \nL 101.287054 122.084914 \nL 103.073172 122.141659 \nL 104.912378 122.439905 \nL 106.76699 122.962591 \nL 108.603426 123.688064 \nL 110.392743 124.591686 \nL 112.110862 125.647336 \nL 113.73853 126.828739 \nL 115.261074 128.110535 \nL 116.667987 129.46908 \nL 117.952431 130.882969 \nL 119.110678 132.333321 \nL 121.04591 135.280875 \nL 122.485635 138.211079 \nL 123.459664 141.057456 \nL 124.004441 143.779551 \nL 124.1553 146.354929 \nL 123.941666 148.772403 \nL 123.38444 151.026713 \nL 122.494937 153.114409 \nL 121.27489 155.030537 \nL 119.717233 156.765749 \nL 117.807539 158.303505 \nL 115.526257 159.617054 \nL 112.852002 160.665996 \nL 111.361482 161.07393 \nL 109.766442 161.392392 \nL 108.066244 161.610721 \nL 106.261514 161.716668 \nL 104.35455 161.696316 \nL 102.349802 161.534052 \nL 100.254426 161.212614 \nL 98.078901 160.713246 \nL 95.8377 160.016013 \nL 93.549984 159.100305 \nL 91.240292 157.945604 \nL 88.939159 156.53254 \nL 86.683563 154.844304 \nL 84.51713 152.868435 \nL 82.489908 150.598956 \nL 80.657624 148.038774 \nL 79.080243 145.202227 \nL 77.819735 142.11746 \nL 76.937019 138.828321 \nL 76.488156 135.395323 \nL 76.520029 131.8952 \nL 77.065917 128.418674 \nL 78.141496 125.066272 \nL 79.741903 121.942266 \nL 81.84042 119.147269 \nL 84.389178 116.770328 \nL 87.321946 114.881691 \nL 90.558738 113.527295 \nL 94.011592 112.725891 \nL 97.590723 112.469166 \nL 101.210241 112.724686 \nL 104.792779 113.441007 \nL 108.272628 114.553924 \nL 111.597345 115.992884 \nL 114.72799 117.68674 \nL 117.6383 119.568221 \nL 120.3132 121.577021 \nL 122.746962 123.661448 \nL 124.941298 125.778965 \nL 126.903553 127.895899 \nL 128.645105 129.986576 \nL 130.18002 132.032238 \nL 132.693297 135.940929 \nL 134.573652 139.566702 \nL 135.945985 142.898738 \nL 136.920303 145.950004 \nL 137.58807 148.74447 \nL 138.022011 151.309771 \nL 138.352043 154.787439 \nL 138.405899 157.893469 \nL 138.255934 160.696213 \nL 137.933957 163.250429 \nL 137.441817 165.600067 \nL 136.757344 167.781271 \nL 135.83628 169.824714 \nL 135.058412 171.123688 \nL 134.119133 172.380007 \nL 132.985394 173.599215 \nL 131.616693 174.785014 \nL 129.963769 175.938148 \nL 127.967159 177.054552 \nL 125.555783 178.122405 \nL 122.645855 179.117523 \nL 119.140749 179.996301 \nL 114.932974 180.685107 \nL 112.530397 180.92337 \nL 109.910307 181.064841 \nL 107.06019 181.084001 \nL 103.969636 180.949455 \nL 100.631625 180.622953 \nL 97.04422 180.058423 \nL 93.212766 179.201107 \nL 89.152659 177.987029 \nL 84.89273 176.343007 \nL 80.479236 174.187675 \nL 75.980298 171.434013 \nL 71.490444 167.994059 \nL 67.134601 163.786529 \nL 63.070516 158.747965 \nL 59.488164 152.847685 \nL 56.604318 146.105858 \nL 54.650552 138.612792 \nL 53.853483 130.545441 \nL 54.407826 122.17561 \nL 56.445197 113.863244 \nL 60.004814 106.029843 \nL 65.014 99.111575 \nL 71.286073 93.498642 \nL 78.539233 89.474625 \nL 86.433497 87.172321 \nL 94.616657 86.559206 \nL 102.767386 87.455862 \nL 110.62573 89.580072 \nL 118.006692 92.601803 \nL 124.798544 96.194143 \nL 130.951123 100.069931 \nL 136.460039 104.000952 \nL 141.351305 107.822049 \nL 145.668752 111.425164 \nL 152.795043 117.764157 \nL 168.388859 132.177029 \nL 170.523929 133.851564 \nL 172.329405 135.037419 \nL 173.91135 135.825635 \nL 175.342171 136.285931 \nL 176.66697 136.472954 \nL 177.908748 136.431556 \nL 179.072675 136.201014 \nL 180.149771 135.818335 \nL 181.55726 135.040611 \nL 182.629039 134.136625 \nL 183.261388 133.246774 \nL 183.395914 132.730436 \nL 183.283388 132.319282 \nL 182.922855 132.043276 \nL 182.327755 131.922895 \nL 181.525945 131.967476 \nL 180.027147 132.336073 \nL 178.329661 133.01961 \nL 176.622496 133.934492 \nL 175.080417 134.983327 \nL 173.843018 136.071389 \nL 173.006367 137.11484 \nL 172.699582 137.749792 \nL 172.602947 138.314007 \nL 172.717835 138.790187 \nL 173.040701 139.162237 \nL 173.563643 139.41522 \nL 174.274601 139.535556 \nL 175.157176 139.511513 \nL 176.754819 139.185783 \nL 178.593103 138.501888 \nL 180.541 137.475776 \nL 182.429513 136.164877 \nL 184.056462 134.677396 \nL 184.888274 133.664605 \nL 185.445734 132.700679 \nL 185.67741 131.846046 \nL 185.548335 131.158488 \nL 185.045845 130.686531 \nL 184.183377 130.463332 \nL 183.001036 130.502497 \nL 181.562461 130.796967 \nL 179.948359 131.321247 \nL 177.393614 132.451177 \nL 174.937363 133.853106 \nL 172.821076 135.375385 \nL 171.211087 136.892724 \nL 170.467451 137.852964 \nL 170.003837 138.744599 \nL 169.824182 139.547009 \nL 169.926243 140.240794 \nL 170.303469 140.80692 \nL 170.946132 141.226278 \nL 171.841724 141.479699 \nL 172.97458 141.548389 \nL 174.324829 141.414798 \nL 175.866731 141.064013 \nL 177.566542 140.485725 \nL 179.380145 139.676779 \nL 181.250769 138.644332 \nL 183.107334 137.40938 \nL 184.864176 136.010129 \nL 186.422947 134.504446 \nL 187.677638 132.970181 \nL 188.523202 131.502047 \nL 188.867574 130.204158 \nL 188.830036 129.651308 \nL 188.645658 129.178156 \nL 188.312701 128.79462 \nL 187.832546 128.508648 \nL 187.209821 128.32585 \nL 186.452373 128.249269 \nL 184.579605 128.413532 \nL 182.331318 128.973795 \nL 179.85184 129.86894 \nL 177.29362 131.018173 \nL 174.799143 132.336303 \nL 172.487751 133.745974 \nL 170.449062 135.184492 \nL 168.742501 136.605155 \nL 167.401147 137.974781 \nL 166.437749 139.269511 \nL 165.851163 140.47058 \nL 165.632061 141.56088 \nL 165.767375 142.522661 \nL 166.243291 143.336221 \nL 167.046881 143.97929 \nL 168.166494 144.426969 \nL 169.591023 144.652032 \nL 171.308152 144.625634 \nL 173.301601 144.318601 \nL 175.547386 143.703464 \nL 178.009122 142.757684 \nL 180.632585 141.468329 \nL 183.34003 139.838427 \nL 186.025215 137.894886 \nL 188.550793 135.697045 \nL 190.750365 133.34392 \nL 192.437851 130.976869 \nL 193.030446 129.842614 \nL 193.426243 128.773489 \nL 193.606336 127.794356 \nL 193.555601 126.92933 \nL 193.263758 126.200602 \nL 192.72626 125.627194 \nL 191.944975 125.223821 \nL 190.928535 124.999929 \nL 189.692284 124.959081 \nL 188.257832 125.098737 \nL 186.652174 125.410495 \nL 183.054813 126.491773 \nL 179.173797 128.052402 \nL 175.279461 129.918477 \nL 171.600548 131.931337 \nL 168.303245 133.971114 \nL 165.488086 135.962135 \nL 163.199399 137.86527 \nL 161.440458 139.664955 \nL 160.189024 141.35684 \nL 159.410387 142.938907 \nL 159.066924 144.406365 \nL 159.124378 145.749376 \nL 159.55546 146.952479 \nL 160.34147 147.994734 \nL 161.472506 148.849973 \nL 162.946626 149.486916 \nL 164.768158 149.869074 \nL 166.945122 149.954606 \nL 169.485579 149.69643 \nL 172.39255 149.043099 \nL 175.65704 147.941148 \nL 179.248731 146.339972 \nL 183.104108 144.200461 \nL 187.112475 141.508704 \nL 189.122965 139.962943 \nL 191.101646 138.295394 \nL 193.015626 136.520796 \nL 194.827361 134.65971 \nL 196.495037 132.739074 \nL 197.973366 130.792511 \nL 199.214855 128.860205 \nL 200.171575 126.988181 \nL 200.797465 125.226905 \nL 201.051058 123.629125 \nL 200.898513 122.246942 \nL 200.316652 121.128299 \nL 199.295695 120.313203 \nL 197.841283 119.830104 \nL 195.975438 119.692978 \nL 193.736192 119.89964 \nL 191.175765 120.431662 \nL 188.357473 121.256019 \nL 185.351665 122.328314 \nL 182.231223 123.597053 \nL 175.924971 126.510351 \nL 169.923885 129.609265 \nL 164.559648 132.624241 \nL 160.001547 135.422717 \nL 156.288509 137.97749 \nL 153.374447 140.318947 \nL 151.16884 142.495789 \nL 149.565919 144.552031 \nL 148.462714 146.517827 \nL 147.768696 148.408679 \nL 147.409884 150.228329 \nL 147.329673 151.972493 \nL 147.487936 153.632009 \nL 147.859407 155.19499 \nL 148.431924 156.647922 \nL 149.20487 157.975956 \nL 150.187962 159.162489 \nL 151.400409 160.188281 \nL 152.870408 161.030104 \nL 154.63486 161.659003 \nL 156.739102 162.038147 \nL 159.236387 162.120225 \nL 162.186614 161.844492 \nL 165.653593 161.13362 \nL 169.699722 159.890956 \nL 174.376404 157.999408 \nL 176.96046 156.768696 \nL 179.707875 155.324356 \nL 182.613243 153.648628 \nL 185.665603 151.72479 \nL 188.846959 149.538443 \nL 192.130585 147.079233 \nL 195.479205 144.343072 \nL 198.843151 141.334881 \nL 202.158658 138.071835 \nL 205.346612 134.586946 \nL 208.312086 130.93268 \nL 210.945178 127.184104 \nL 213.123698 123.440753 \nL 214.71824 119.826292 \nL 215.600046 116.484749 \nL 215.651654 113.572439 \nL 214.779709 111.245041 \nL 212.928554 109.640532 \nL 210.092254 108.859994 \nL 206.322267 108.949943 \nL 201.72814 109.890656 \nL 196.469822 111.59449 \nL 190.742179 113.915961 \nL 184.754466 116.672142 \nL 172.783522 122.724501 \nL 152.510544 133.223654 \nL 139.115909 139.731073 \nL 132.68872 142.98299 \nL 129.557278 144.814043 \nL 127.036266 146.526632 \nL 123.935837 148.986643 \nL 119.308955 152.804705 \nL 117.332685 154.162314 \nL 115.172483 155.366368 \nL 112.776578 156.369156 \nL 110.10845 157.114005 \nL 107.148635 157.533008 \nL 105.558965 157.595512 \nL 103.899188 157.545046 \nL 102.174129 157.369332 \nL 100.391024 157.055378 \nL 98.559887 156.589683 \nL 96.693882 155.958546 \nL 94.809692 155.148532 \nL 92.927841 154.14707 \nL 91.07294 152.943263 \nL 89.273784 151.528856 \nL 87.563247 149.899393 \nL 85.977915 148.055528 \nL 84.557373 146.004391 \nL 83.343103 143.760943 \nL 82.376941 141.349131 \nL 81.699146 138.802683 \nL 81.346103 136.165309 \nL 81.347855 133.490125 \nL 81.725625 130.838153 \nL 82.489632 128.275812 \nL 83.637488 125.871531 \nL 85.15342 123.691738 \nL 87.008507 121.796555 \nL 89.162006 120.235786 \nL 91.563625 119.045674 \nL 94.156525 118.246857 \nL 96.880684 117.843731 \nL 99.676271 117.825305 \nL 102.486629 118.167299 \nL 105.260652 118.835107 \nL 107.954413 119.78719 \nL 110.532016 120.978458 \nL 112.965763 122.363293 \nL 115.23579 123.897949 \nL 117.329316 125.542295 \nL 119.239675 127.26087 \nL 120.965263 129.023377 \nL 122.508487 130.804697 \nL 123.874786 132.584612 \nL 125.071769 134.347318 \nL 126.994724 137.776467 \nL 128.356468 141.031843 \nL 129.235647 144.087873 \nL 129.702002 146.940195 \nL 129.81209 149.596186 \nL 129.607719 152.068701 \nL 129.11595 154.372085 \nL 128.349887 156.519566 \nL 127.309772 158.521485 \nL 125.98411 160.383807 \nL 124.350733 162.10657 \nL 122.377884 163.681962 \nL 120.025528 165.091667 \nL 117.247307 166.303158 \nL 113.993804 167.26465 \nL 112.173844 167.6286 \nL 110.218112 167.898473 \nL 108.122658 168.059187 \nL 105.885153 168.092978 \nL 103.505516 167.979153 \nL 100.9867 167.693884 \nL 98.335625 167.210105 \nL 95.564273 166.497589 \nL 92.690938 165.52327 \nL 89.741598 164.251925 \nL 86.75133 162.647374 \nL 83.765677 160.674293 \nL 80.841754 158.30082 \nL 78.048867 155.502044 \nL 75.468332 152.264356 \nL 73.19207 148.590571 \nL 71.319677 144.505395 \nL 69.953607 140.060613 \nL 69.19244 135.33895 \nL 69.122492 130.455479 \nL 69.808529 125.555241 \nL 71.284814 120.80626 \nL 73.548095 116.38772 \nL 76.554164 112.474312 \nL 80.219112 109.218878 \nL 84.425614 106.736388 \nL 89.033409 105.092361 \nL 93.892163 104.298029 \nL 98.85446 104.313064 \nL 103.786807 105.054787 \nL 108.577259 106.411561 \nL 113.1392 108.257434 \nL 117.411713 110.465397 \nL 121.357397 112.9176 \nL 124.958739 115.511813 \nL 128.213953 118.164408 \nL 131.132939 120.810575 \nL 133.733735 123.402716 \nL 136.039624 125.9079 \nL 139.873121 130.581883 \nL 142.852689 134.757872 \nL 145.188537 138.439113 \nL 148.64478 144.474568 \nL 150.726943 148.015256 \nL 152.073276 149.973306 \nL 153.482065 151.635384 \nL 155.021933 153.011561 \nL 156.753898 154.100782 \nL 158.73442 154.890519 \nL 161.017334 155.356221 \nL 163.654407 155.460548 \nL 166.694129 155.152693 \nL 170.17815 154.36818 \nL 174.134439 153.030155 \nL 176.292032 152.127133 \nL 178.566058 151.053684 \nL 180.950247 149.799517 \nL 183.434309 148.355509 \nL 186.003075 146.714549 \nL 188.635533 144.8726 \nL 191.303871 142.830008 \nL 193.972531 140.593042 \nL 196.597424 138.175609 \nL 199.125431 135.601081 \nL 201.494366 132.904061 \nL 203.633621 130.131806 \nL 205.465762 127.345022 \nL 206.909224 124.617592 \nL 207.882314 122.03481 \nL 208.308492 119.689705 \nL 208.122678 117.677323 \nL 207.278091 116.087113 \nL 205.752738 114.994034 \nL 203.554515 114.449632 \nL 200.723771 114.474657 \nL 197.332484 115.054871 \nL 193.479714 116.141339 \nL 189.283798 117.655616 \nL 184.872406 119.499031 \nL 180.37214 121.564263 \nL 171.55299 125.955714 \nL 159.946398 132.116874 \nL 151.07835 137.086974 \nL 146.649028 139.805427 \nL 143.213644 142.205979 \nL 140.57304 144.412204 \nL 138.536421 146.5105 \nL 136.935982 148.550991 \nL 135.630982 150.556578 \nL 133.46892 154.476165 \nL 131.363307 158.230952 \nL 130.175639 160.024454 \nL 128.828046 161.750099 \nL 127.270262 163.398049 \nL 125.450703 164.955857 \nL 123.314664 166.405967 \nL 120.803356 167.722252 \nL 117.854128 168.865303 \nL 114.402519 169.776073 \nL 112.468814 170.118533 \nL 110.387197 170.367585 \nL 108.152043 170.506299 \nL 105.75947 170.514631 \nL 103.208058 170.369063 \nL 100.499747 170.0423 \nL 97.640945 169.503065 \nL 94.643836 168.716094 \nL 91.527911 167.642423 \nL 88.321663 166.240117 \nL 85.064397 164.465614 \nL 81.807986 162.275872 \nL 78.618366 159.631556 \nL 75.576419 156.50135 \nL 72.777858 152.867517 \nL 70.331526 148.732452 \nL 68.355682 144.125803 \nL 66.971748 139.111189 \nL 66.295547 133.791154 \nL 66.426342 128.308642 \nL 67.434836 122.843249 \nL 69.351956 117.6011 \nL 72.160662 112.798303 \nL 75.792956 108.639685 \nL 80.133522 105.296179 \nL 85.029898 102.885275 \nL 90.307563 101.458755 \nL 95.787062 101.000302 \nL 101.299941 101.433075 \nL 106.700925 102.634947 \nL 111.874994 104.457456 \nL 116.73945 106.744488 \nL 121.24201 109.34755 \nL 125.356447 112.136083 \nL 129.077186 115.002738 \nL 132.413926 117.86448 \nL 135.386895 120.660858 \nL 138.023013 123.350711 \nL 142.408947 128.319588 \nL 145.82783 132.68644 \nL 149.670438 138.14627 \nL 153.436517 143.675935 \nL 155.083611 145.809707 \nL 156.727298 147.573256 \nL 158.456626 148.98764 \nL 160.345371 150.060401 \nL 162.45568 150.785916 \nL 164.840254 151.145792 \nL 167.542734 151.10948 \nL 170.595917 150.635393 \nL 174.017302 149.673224 \nL 177.801425 148.16852 \nL 181.908512 146.07092 \nL 184.05772 144.788429 \nL 186.249446 143.34798 \nL 188.461959 141.75175 \nL 190.668262 140.00606 \nL 192.83569 138.122415 \nL 194.925714 136.118547 \nL 196.894024 134.019379 \nL 198.691044 131.857786 \nL 200.262951 129.674974 \nL 201.55334 127.52026 \nL 202.505559 125.450088 \nL 203.065761 123.526061 \nL 203.186495 121.811911 \nL 202.830636 120.369477 \nL 201.975263 119.253979 \nL 200.614973 118.508999 \nL 198.764104 118.161913 \nL 196.457363 118.220594 \nL 193.748587 118.671965 \nL 190.707583 119.482947 \nL 187.415404 120.603754 \nL 183.95867 121.973049 \nL 176.891239 125.191189 \nL 170.105809 128.643857 \nL 164.017896 131.980179 \nL 158.838617 135.029858 \nL 154.61417 137.76411 \nL 151.284722 140.23081 \nL 148.736554 142.500876 \nL 146.838505 144.637573 \nL 145.463595 146.685043 \nL 144.499924 148.667994 \nL 143.854795 150.596161 \nL 143.454966 152.469571 \nL 143.244954 154.283024 \nL 143.201456 156.874585 \nL 143.413052 159.289567 \nL 143.843123 161.506407 \nL 144.491137 163.506802 \nL 145.057351 164.711245 \nL 145.747909 165.805053 \nL 146.583445 166.780114 \nL 147.590422 167.625673 \nL 148.8018 168.327192 \nL 150.257892 168.864907 \nL 152.007366 169.211976 \nL 154.108236 169.332052 \nL 156.628644 169.176163 \nL 159.647001 168.678746 \nL 163.250763 167.752864 \nL 167.532596 166.284914 \nL 172.581867 164.129851 \nL 175.417514 162.74016 \nL 178.46825 161.109417 \nL 181.734983 159.21115 \nL 185.212823 157.01843 \nL 188.88908 154.505224 \nL 192.740859 151.64836 \nL 196.732272 148.4303 \nL 200.811328 144.842854 \nL 204.906698 140.89194 \nL 208.924666 136.60334 \nL 212.746809 132.029227 \nL 216.229161 127.254837 \nL 219.203885 122.404149 \nL 221.484647 117.642853 \nL 222.876841 113.176336 \nL 223.193423 109.240109 \nL 222.276072 106.080649 \nL 220.019699 103.926439 \nL 216.396222 102.952004 \nL 211.471698 103.241925 \nL 205.410474 104.764874 \nL 198.462313 107.36776 \nL 190.933102 110.795385 \nL 183.145478 114.73242 \nL 154.533984 129.895795 \nL 148.742802 132.70022 \nL 143.579855 135.025694 \nL 139.017923 136.91551 \nL 131.506076 139.643148 \nL 125.770634 141.39941 \nL 108.354478 146.159822 \nL 105.841037 146.541991 \nL 104.183435 146.57566 \nL 102.53205 146.39694 \nL 100.902425 145.980743 \nL 99.327671 145.309859 \nL 97.856046 144.378307 \nL 96.547696 143.19505 \nL 95.470029 141.787623 \nL 94.691398 140.20481 \nL 94.273244 138.517242 \nL 94.261405 136.814784 \nL 94.415867 135.989805 \nL 94.677975 135.200082 \nL 95.045813 134.45879 \nL 95.515449 133.778513 \nL 96.080997 133.170847 \nL 96.734721 132.646038 \nL 97.46725 132.212671 \nL 98.267827 131.877422 \nL 99.124627 131.644892 \nL 100.956231 131.495727 \nL 102.858847 131.760201 \nL 104.733141 132.404521 \nL 106.491641 133.373983 \nL 108.063486 134.602052 \nL 109.396018 136.018653 \nL 110.453806 137.556395 \nL 111.216079 139.154325 \nL 111.673475 140.759457 \nL 111.824818 142.326651 \nL 111.67437 143.8174 \nL 111.229865 145.198087 \nL 110.501374 146.438078 \nL 109.501056 147.507851 \nL 108.243768 148.377429 \nL 106.74847 149.015196 \nL 105.040373 149.387344 \nL 103.1537 149.458138 \nL 101.134839 149.191397 \nL 99.045489 148.553516 \nL 96.965148 147.518409 \nL 94.991971 146.074545 \nL 94.080933 145.201841 \nL 93.240781 144.233707 \nL 92.487473 143.176787 \nL 91.836979 142.040292 \nL 91.304819 140.83612 \nL 90.905527 139.578934 \nL 90.652091 138.286048 \nL 90.555348 136.977206 \nL 90.623427 135.674152 \nL 90.861231 134.400067 \nL 91.270033 133.178832 \nL 91.847226 132.034175 \nL 92.586225 130.988769 \nL 93.476586 130.063316 \nL 94.504304 129.275696 \nL 95.652304 128.640266 \nL 96.901064 128.167341 \nL 98.229353 127.862912 \nL 99.615001 127.728616 \nL 101.035677 127.761931 \nL 102.469599 127.956593 \nL 103.896147 128.303151 \nL 105.296365 128.789642 \nL 106.653299 129.402282 \nL 107.952228 130.12617 \nL 109.180748 130.94591 \nL 111.388309 132.812085 \nL 113.220273 134.885918 \nL 114.649449 137.068598 \nL 115.669508 139.280575 \nL 116.287458 141.460692 \nL 116.51729 143.563042 \nL 116.375237 145.553005 \nL 115.876622 147.403185 \nL 115.034221 149.08968 \nL 113.857904 150.58877 \nL 112.355446 151.874018 \nL 110.534425 152.913741 \nL 108.405257 153.668901 \nL 105.98545 154.091566 \nL 103.305145 154.124434 \nL 101.881831 153.974463 \nL 100.413915 153.702014 \nL 98.911891 153.298281 \nL 97.388428 152.754665 \nL 95.858589 152.063151 \nL 94.339968 151.216781 \nL 92.852786 150.21022 \nL 91.419838 149.040429 \nL 90.066328 147.707393 \nL 88.819509 146.214928 \nL 87.708106 144.571449 \nL 86.761531 142.790699 \nL 86.008851 140.892298 \nL 85.47755 138.902061 \nL 85.192133 136.851927 \nL 85.172662 134.779484 \nL 85.433314 132.726946 \nL 85.981143 130.739644 \nL 86.815154 128.864061 \nL 87.925817 127.145524 \nL 89.29514 125.625787 \nL 90.897304 124.340691 \nL 92.699841 123.318203 \nL 94.665246 122.577026 \nL 96.752866 122.125923 \nL 98.920886 121.96379 \nL 101.128214 122.080469 \nL 103.336144 122.458106 \nL 105.509634 123.072924 \nL 107.618204 123.89712 \nL 109.636421 124.900736 \nL 111.544022 126.05334 \nL 113.325737 127.325402 \nL 114.970901 128.689309 \nL 116.472919 130.120055 \nL 117.828662 131.595626 \nL 119.037837 133.097105 \nL 120.102388 134.60861 \nL 121.813265 137.612067 \nL 123.001853 140.530344 \nL 123.715417 143.318373 \nL 123.99932 145.95202 \nL 123.891763 148.420139 \nL 123.421041 150.71847 \nL 122.6045 152.845028 \nL 121.448665 154.796594 \nL 119.95016 156.565711 \nL 118.097265 158.137895 \nL 115.872198 159.48867 \nL 113.254383 160.580225 \nL 111.792128 161.012397 \nL 110.225195 161.357589 \nL 108.552693 161.605568 \nL 106.774879 161.744536 \nL 104.893557 161.761032 \nL 102.912538 161.639882 \nL 100.838184 161.36423 \nL 98.680002 160.915662 \nL 96.45131 160.274455 \nL 94.169935 159.420049 \nL 91.858914 158.331717 \nL 89.547136 156.989545 \nL 87.269862 155.375753 \nL 85.069007 153.476377 \nL 82.993053 151.283329 \nL 81.096466 148.796752 \nL 79.438446 146.027553 \nL 78.080933 142.999881 \nL 77.085744 139.75322 \nL 76.510949 136.34365 \nL 76.406627 132.84385 \nL 76.810401 129.341385 \nL 77.743237 125.93505 \nL 79.206119 122.729232 \nL 81.178241 119.826781 \nL 83.617129 117.321085 \nL 86.460896 115.288483 \nL 89.632426 113.782147 \nL 93.044934 112.828397 \nL 96.608156 112.426009 \nL 100.234292 112.548475 \nL 103.842994 113.148623 \nL 107.364953 114.164705 \nL 110.743909 115.52694 \nL 113.937232 117.163499 \nL 116.915336 119.005425 \nL 119.660318 120.990072 \nL 122.164169 123.063154 \nL 124.426853 125.179555 \nL 126.454449 127.3032 \nL 128.257482 129.406334 \nL 129.849505 131.468445 \nL 132.463092 135.416681 \nL 134.42565 139.084784 \nL 135.864054 142.457628 \nL 136.89107 145.546122 \nL 137.601101 148.373465 \nL 138.069652 150.967222 \nL 138.442595 154.479923 \nL 138.534649 157.613007 \nL 138.423781 160.436134 \nL 138.146568 163.005067 \nL 137.709406 165.364432 \nL 137.095031 167.550789 \nL 136.265047 169.595165 \nL 135.159089 171.524566 \nL 134.227191 172.758563 \nL 133.101932 173.957374 \nL 131.742767 175.12478 \nL 130.100375 176.2617 \nL 128.115182 177.36436 \nL 125.715899 178.421383 \nL 122.818363 179.409206 \nL 119.325306 180.285064 \nL 115.128169 180.976415 \nL 112.729877 181.218403 \nL 110.113012 181.365469 \nL 107.264693 181.392271 \nL 104.174061 181.267577 \nL 100.833556 180.953265 \nL 97.240596 180.403324 \nL 93.399767 179.562953 \nL 89.325603 178.367958 \nL 85.045981 176.744702 \nL 80.606164 174.611028 \nL 76.073301 171.878681 \nL 71.541103 168.4579 \nL 67.134013 164.264965 \nL 63.00987 159.233306 \nL 59.359604 153.328549 \nL 56.402092 146.566879 \nL 54.372396 139.034827 \nL 53.50205 130.906595 \nL 53.991809 122.453226 \nL 55.979806 114.036789 \nL 59.511179 106.084347 \nL 64.517374 99.040807 \nL 70.813011 93.307089 \nL 78.114333 89.177463 \nL 86.076545 86.79319 \nL 94.340853 86.126303 \nL 102.578961 86.997487 \nL 110.524803 89.120726 \nL 117.988872 92.159814 \nL 124.856704 95.780858 \nL 131.076922 99.690319 \nL 136.645009 103.654944 \nL 141.58747 107.506157 \nL 145.948918 111.133924 \nL 153.144851 117.503398 \nL 168.841444 131.870115 \nL 170.964821 133.520262 \nL 172.743685 134.685462 \nL 174.283896 135.459794 \nL 175.657914 135.915501 \nL 176.911345 136.109329 \nL 178.068312 136.087744 \nL 179.135907 135.891098 \nL 180.553592 135.349319 \nL 181.696031 134.621409 \nL 182.48166 133.833919 \nL 182.831949 133.11354 \nL 182.797229 132.72852 \nL 182.542924 132.453288 \nL 182.077787 132.308366 \nL 181.422745 132.305189 \nL 180.156956 132.567444 \nL 178.681358 133.118924 \nL 177.159375 133.89431 \nL 175.749023 134.810925 \nL 174.582971 135.783471 \nL 173.758202 136.733072 \nL 173.33457 137.590352 \nL 173.2894 138.080421 \nL 173.4359 138.486406 \nL 173.77025 138.793583 \nL 174.284276 138.988605 \nL 174.965558 139.059781 \nL 176.262971 138.914273 \nL 177.819964 138.450611 \nL 179.530145 137.67291 \nL 181.255512 136.617447 \nL 182.828419 135.361021 \nL 184.062714 134.024071 \nL 184.606807 133.164445 \nL 184.873633 132.38955 \nL 184.830792 131.749172 \nL 184.463781 131.286479 \nL 183.779317 131.033035 \nL 182.806381 131.005089 \nL 181.59436 131.202028 \nL 180.208541 131.607378 \nL 177.968393 132.540188 \nL 175.76176 133.747568 \nL 173.811983 135.095818 \nL 172.284084 136.466723 \nL 171.552541 137.345018 \nL 171.07124 138.166754 \nL 170.847856 138.910959 \nL 170.883371 139.558303 \nL 171.173708 140.090338 \nL 171.710831 140.489094 \nL 172.483227 140.737073 \nL 173.475779 140.817578 \nL 174.669036 140.715479 \nL 176.037987 140.41841 \nL 177.550468 139.918414 \nL 179.165374 139.214074 \nL 180.831026 138.313053 \nL 182.484102 137.234814 \nL 184.049687 136.013178 \nL 185.44312 134.69799 \nL 186.574244 133.355132 \nL 187.354358 132.063854 \nL 187.705699 130.910898 \nL 187.701952 130.413248 \nL 187.572333 129.981369 \nL 187.31496 129.623815 \nL 186.930456 129.347638 \nL 186.422049 129.158109 \nL 185.059429 129.050027 \nL 183.302624 129.300642 \nL 181.258229 129.879598 \nL 179.050766 130.732473 \nL 176.807755 131.7917 \nL 174.646373 132.987686 \nL 172.664151 134.257326 \nL 170.934606 135.548478 \nL 169.507272 136.820678 \nL 168.410771 138.043294 \nL 167.657435 139.192522 \nL 167.248175 140.248334 \nL 167.176816 141.192017 \nL 167.433429 142.004474 \nL 168.006522 142.665269 \nL 168.884092 143.152246 \nL 170.053619 143.441639 \nL 171.501068 143.508635 \nL 173.208972 143.328391 \nL 175.153662 142.877747 \nL 177.301707 142.137752 \nL 179.605788 141.097266 \nL 182.000359 139.757771 \nL 184.397832 138.139261 \nL 186.686436 136.286606 \nL 188.73133 134.275115 \nL 190.380794 132.213128 \nL 191.008226 131.205481 \nL 191.479068 130.238891 \nL 191.776463 129.333432 \nL 191.886056 128.509111 \nL 191.796809 127.785038 \nL 191.501742 127.178531 \nL 190.998561 126.704234 \nL 190.290085 126.373299 \nL 189.384437 126.192766 \nL 188.294944 126.165149 \nL 187.039744 126.288333 \nL 184.124551 126.957023 \nL 180.849379 128.104208 \nL 177.441376 129.599963 \nL 174.111254 131.309034 \nL 171.02967 133.114683 \nL 168.316755 134.930622 \nL 166.043308 136.701397 \nL 164.239443 138.395561 \nL 162.906196 139.996462 \nL 162.026866 141.494074 \nL 161.57637 142.879215 \nL 161.52806 144.140173 \nL 161.858145 145.261157 \nL 162.548113 146.221753 \nL 163.585569 146.996891 \nL 164.963834 147.556966 \nL 166.680493 147.867997 \nL 168.734928 147.891932 \nL 171.124715 147.587382 \nL 173.840708 146.911191 \nL 176.860511 145.821517 \nL 180.140233 144.2832 \nL 183.604641 142.276237 \nL 187.136629 139.808021 \nL 190.568015 136.929033 \nL 192.178257 135.367301 \nL 193.675427 133.749909 \nL 195.024024 132.102298 \nL 196.186784 130.454742 \nL 197.1259 128.841909 \nL 197.804562 127.302003 \nL 198.188835 125.875387 \nL 198.249727 124.602724 \nL 197.965358 123.522708 \nL 197.322969 122.669515 \nL 196.320591 122.07028 \nL 194.968098 121.742808 \nL 193.287471 121.69399 \nL 191.312128 121.919026 \nL 189.08534 122.401824 \nL 186.657859 123.116392 \nL 184.085008 124.029189 \nL 178.728734 126.295288 \nL 173.437372 128.893303 \nL 168.540562 131.569672 \nL 164.247898 134.162305 \nL 160.656364 136.597075 \nL 157.777613 138.860942 \nL 155.569479 140.971607 \nL 153.962815 142.954785 \nL 152.880687 144.831438 \nL 152.25045 146.612936 \nL 152.010386 148.300788 \nL 152.112686 149.888307 \nL 152.524204 151.362608 \nL 153.225978 152.706116 \nL 154.212197 153.8973 \nL 155.488947 154.910647 \nL 157.072903 155.715931 \nL 158.989945 156.276965 \nL 161.273483 156.549919 \nL 163.962148 156.48146 \nL 167.096255 156.007026 \nL 170.712215 155.04982 \nL 174.833742 153.521628 \nL 177.084847 152.513699 \nL 179.458429 151.327252 \nL 181.946906 149.951069 \nL 184.538243 148.375369 \nL 187.214967 146.592791 \nL 189.953098 144.599614 \nL 192.721081 142.397239 \nL 195.478757 139.993954 \nL 198.176549 137.40688 \nL 200.754998 134.663995 \nL 203.144873 131.806036 \nL 205.268141 128.887949 \nL 207.040013 125.979498 \nL 208.372348 123.164543 \nL 209.178517 120.538449 \nL 209.379657 118.203277 \nL 208.91196 116.260626 \nL 207.734257 114.802501 \nL 205.834823 113.901123 \nL 203.236129 113.599352 \nL 199.996305 113.903562 \nL 196.206495 114.780887 \nL 191.984126 116.161916 \nL 187.462908 117.948766 \nL 182.781264 120.027054 \nL 173.448706 124.597675 \nL 160.936109 131.167619 \nL 151.25781 136.45261 \nL 146.396414 139.287799 \nL 142.613748 141.74556 \nL 139.696377 143.970462 \nL 137.436337 146.066652 \nL 135.649227 148.096282 \nL 134.179627 150.089047 \nL 131.706696 153.985959 \nL 129.896742 156.803778 \nL 128.576476 158.610848 \nL 127.095346 160.345442 \nL 125.397649 161.992671 \nL 123.428417 163.534168 \nL 121.131654 164.945295 \nL 118.449747 166.19127 \nL 115.324505 167.222012 \nL 111.700556 167.965498 \nL 109.686647 168.199024 \nL 107.532308 168.319583 \nL 105.235371 168.308187 \nL 102.796196 168.142844 \nL 100.218496 167.798354 \nL 97.510331 167.246242 \nL 94.685253 166.45488 \nL 91.763617 165.389892 \nL 88.774008 164.014977 \nL 85.754678 162.293283 \nL 82.754885 160.18946 \nL 79.835932 157.672551 \nL 77.071613 154.719813 \nL 74.547701 151.321417 \nL 72.360142 147.485832 \nL 70.611522 143.245441 \nL 69.405577 138.661582 \nL 68.83976 133.827913 \nL 68.996296 128.870875 \nL 69.932606 123.945926 \nL 71.672566 119.228895 \nL 74.20026 114.902502 \nL 77.45783 111.139526 \nL 81.348383 108.085058 \nL 85.743918 105.841169 \nL 90.497065 104.45701 \nL 95.454568 103.926329 \nL 100.470152 104.1926 \nL 105.41476 105.160192 \nL 110.183065 106.708842 \nL 114.696085 108.708492 \nL 118.900529 111.031971 \nL 122.765942 113.56421 \nL 126.28068 116.207558 \nL 129.447633 118.883756 \nL 132.28023 121.533376 \nL 134.799038 124.113747 \nL 137.029055 126.596144 \nL 140.732934 131.204358 \nL 143.614603 135.302033 \nL 145.883531 138.902231 \nL 152.077279 149.190318 \nL 153.491967 150.923049 \nL 155.021223 152.362531 \nL 156.72866 153.510637 \nL 158.672189 154.357643 \nL 160.906212 154.881795 \nL 163.482465 155.048693 \nL 166.449134 154.810678 \nL 169.847692 154.106712 \nL 173.706639 152.863571 \nL 178.031088 150.999799 \nL 180.359332 149.809528 \nL 182.787042 148.434679 \nL 185.300285 146.868066 \nL 187.879652 145.105285 \nL 190.499328 143.145926 \nL 193.126196 140.995006 \nL 195.719044 138.664579 \nL 198.228036 136.175469 \nL 200.594588 133.558957 \nL 202.751854 130.858233 \nL 204.626054 128.129287 \nL 206.138838 125.440864 \nL 207.21083 122.873124 \nL 207.766433 120.514545 \nL 207.739646 118.456918 \nL 207.080521 116.788476 \nL 205.7615 115.585699 \nL 203.782678 114.9047 \nL 201.174919 114.773761 \nL 197.999942 115.188436 \nL 194.346908 116.11069 \nL 190.325761 117.472581 \nL 186.058195 119.184074 \nL 181.667745 121.143595 \nL 172.968057 125.408669 \nL 161.346929 131.550625 \nL 152.351257 136.592866 \nL 147.826551 139.363027 \nL 144.308342 141.804752 \nL 141.605874 144.040194 \nL 139.53178 146.158145 \nL 137.919026 148.212056 \nL 136.626494 150.227781 \nL 135.041254 153.19399 \nL 132.137604 158.858994 \nL 131.026637 160.640493 \nL 129.761123 162.356716 \nL 128.293669 164.000265 \nL 126.574883 165.56166 \nL 124.551527 167.02709 \nL 122.165347 168.375273 \nL 119.35286 169.573145 \nL 116.046617 170.569948 \nL 112.178932 171.289276 \nL 110.01511 171.511515 \nL 107.689573 171.618805 \nL 105.198239 171.589466 \nL 102.539719 171.397995 \nL 99.716326 171.014723 \nL 96.735296 170.405593 \nL 93.61027 169.532158 \nL 90.362993 168.351929 \nL 87.025224 166.819223 \nL 83.640742 164.886733 \nL 80.267281 162.508055 \nL 76.978129 159.641372 \nL 73.863006 156.254472 \nL 71.027667 152.331169 \nL 68.591682 147.878797 \nL 66.683774 142.936199 \nL 65.434284 137.581008 \nL 64.964768 131.934536 \nL 65.375361 126.16223 \nL 66.731388 120.467775 \nL 69.051499 115.079756 \nL 72.299991 110.231305 \nL 76.385683 106.135305 \nL 81.168439 102.959491 \nL 86.472764 100.806764 \nL 92.105931 99.705064 \nL 97.877068 99.608971 \nL 103.613607 100.411985 \nL 109.172608 101.965978 \nL 114.446129 104.102947 \nL 119.361277 106.654769 \nL 123.876496 109.467982 \nL 127.975875 112.412651 \nL 131.662957 115.385845 \nL 134.955011 118.311027 \nL 137.878268 121.134938 \nL 140.464216 123.823399 \nL 144.760946 128.726651 \nL 148.117844 132.974098 \nL 152.984718 139.671827 \nL 155.784792 143.371884 \nL 157.523575 145.308791 \nL 159.287336 146.86207 \nL 161.161458 148.049605 \nL 163.215105 148.875217 \nL 165.504156 149.329576 \nL 168.072387 149.391349 \nL 170.950525 149.02885 \nL 174.152852 148.202791 \nL 177.670983 146.870962 \nL 181.464573 144.995995 \nL 185.449231 142.557559 \nL 187.47142 141.129572 \nL 189.482853 139.569997 \nL 191.454743 137.889795 \nL 193.353525 136.1051 \nL 195.140995 134.237936 \nL 196.774794 132.316754 \nL 198.209283 130.376642 \nL 199.39693 128.459115 \nL 200.29018 126.611251 \nL 200.843854 124.884171 \nL 201.017955 123.3307 \nL 200.780709 122.002326 \nL 200.111567 120.945622 \nL 199.003819 120.198464 \nL 197.466417 119.786534 \nL 195.524686 119.720624 \nL 193.219651 119.995237 \nL 190.605964 120.588891 \nL 187.748574 121.466082 \nL 184.718552 122.580753 \nL 178.428721 125.312329 \nL 172.265575 128.373237 \nL 166.625705 131.441605 \nL 161.740817 134.332168 \nL 157.696778 136.981129 \nL 154.476358 139.401148 \nL 152.00295 141.637033 \nL 150.174466 143.736212 \nL 148.885546 145.734677 \nL 148.040183 147.653467 \nL 147.557738 149.500522 \nL 147.374866 151.274296 \nL 147.445173 152.967212 \nL 147.737803 154.568233 \nL 148.235699 156.06435 \nL 148.933941 157.441165 \nL 149.838394 158.68273 \nL 150.964724 159.770829 \nL 152.337767 160.683799 \nL 153.991167 161.394934 \nL 155.967119 161.870489 \nL 158.315968 162.067242 \nL 161.095265 161.929671 \nL 164.367647 161.386834 \nL 168.196596 160.34941 \nL 172.638605 158.70782 \nL 175.102087 157.620848 \nL 177.729686 156.333359 \nL 180.519126 154.827499 \nL 183.463529 153.085773 \nL 186.550072 151.092059 \nL 189.758446 148.832997 \nL 193.059128 146.299858 \nL 196.411555 143.490885 \nL 199.762304 140.4142 \nL 203.043493 137.091123 \nL 206.171724 133.559801 \nL 209.047945 129.87873 \nL 211.55876 126.129592 \nL 213.579736 122.418606 \nL 214.981223 118.875311 \nL 215.636977 115.647666 \nL 215.435488 112.892668 \nL 214.293114 110.762183 \nL 212.167408 109.385116 \nL 209.068133 108.848351 \nL 205.063158 109.180407 \nL 200.276857 110.342319 \nL 194.88013 112.229204 \nL 189.073225 114.683485 \nL 183.064689 117.51725 \nL 171.19915 123.574735 \nL 155.71595 131.629684 \nL 144.166406 137.334917 \nL 134.109278 142.270431 \nL 130.700419 144.174891 \nL 127.990862 145.926483 \nL 125.747455 147.602246 \nL 118.184858 153.730666 \nL 116.101699 155.004308 \nL 113.799203 156.096162 \nL 111.234772 156.953312 \nL 108.381709 157.512393 \nL 105.232668 157.697334 \nL 103.55164 157.621898 \nL 101.805942 157.418084 \nL 100.003366 157.072657 \nL 98.154573 156.5719 \nL 96.27348 155.901978 \nL 94.37763 155.04941 \nL 92.488505 154.001724 \nL 90.631751 152.748301 \nL 88.837251 151.281409 \nL 87.13897 149.597395 \nL 85.574521 147.698048 \nL 84.184374 145.591989 \nL 83.010647 143.296016 \nL 82.095466 140.836235 \nL 81.47892 138.24876 \nL 81.196679 135.579771 \nL 81.277464 132.88476 \nL 81.740578 130.226786 \nL 82.593785 127.673751 \nL 83.831823 125.294781 \nL 85.435837 123.156044 \nL 87.373857 121.316405 \nL 89.602357 119.823487 \nL 92.068752 118.710568 \nL 94.71458 117.99485 \nL 97.478939 117.677125 \nL 100.301854 117.742958 \nL 103.127185 118.165083 \nL 105.904876 118.906522 \nL 108.59242 119.924097 \nL 111.155542 121.171803 \nL 113.568233 122.603734 \nL 115.812264 124.176388 \nL 117.87636 125.850258 \nL 119.755178 127.590749 \nL 121.448234 129.368547 \nL 122.958847 131.15955 \nL 124.29318 132.944516 \nL 125.459383 134.708536 \nL 127.325775 138.132184 \nL 128.638851 141.375236 \nL 129.477595 144.415573 \nL 129.911251 147.251078 \nL 129.995454 149.890481 \nL 129.770915 152.347434 \nL 129.26358 154.636697 \nL 128.485509 156.77172 \nL 127.435988 158.76293 \nL 126.102658 160.616335 \nL 124.46255 162.331994 \nL 122.483132 163.902106 \nL 120.12357 165.30836 \nL 117.336644 166.518203 \nL 114.071964 167.479738 \nL 112.245146 167.844259 \nL 110.281508 168.114994 \nL 108.17694 168.276768 \nL 105.928947 168.311696 \nL 103.537281 168.198916 \nL 101.004737 167.91438 \nL 98.338094 167.430737 \nL 95.549228 166.717403 \nL 92.656381 165.74086 \nL 89.685555 164.46536 \nL 86.671969 162.854092 \nL 83.661446 160.871031 \nL 80.711577 158.483563 \nL 77.892369 155.666019 \nL 75.286087 152.404109 \nL 72.985872 148.700149 \nL 71.092777 144.578664 \nL 69.710883 140.0917 \nL 68.940452 135.322853 \nL 68.869353 130.388736 \nL 69.563572 125.436622 \nL 71.058023 120.637313 \nL 73.349387 116.173077 \nL 76.392542 112.221593 \nL 80.101907 108.938181 \nL 84.357893 106.439369 \nL 89.017673 104.791071 \nL 93.928379 104.003751 \nL 98.940391 104.035286 \nL 103.918545 104.800553 \nL 108.749836 106.185221 \nL 113.347188 108.060771 \nL 117.649692 110.298031 \nL 121.620314 112.777508 \nL 125.242122 115.395901 \nL 128.514009 118.068997 \nL 131.446573 120.731792 \nL 134.058517 123.336785 \nL 136.373726 125.851307 \nL 140.222423 130.53485 \nL 143.215303 134.710695 \nL 145.564984 138.384573 \nL 151.861751 148.901259 \nL 153.264688 150.679933 \nL 154.771723 152.164133 \nL 156.447604 153.357473 \nL 158.350937 154.252042 \nL 160.53657 154.827975 \nL 163.056666 155.052854 \nL 165.960112 154.881088 \nL 169.289753 154.253662 \nL 173.076689 153.09905 \nL 177.330557 151.336611 \nL 179.626209 150.201597 \nL 182.024713 148.884603 \nL 184.51365 147.377784 \nL 187.075407 145.675746 \nL 189.686257 143.7767 \nL 192.315428 141.683805 \nL 194.924286 139.406752 \nL 197.465692 136.963456 \nL 199.883738 134.381793 \nL 202.114027 131.701137 \nL 204.084701 128.973475 \nL 205.718473 126.2637 \nL 206.935805 123.6487 \nL 207.659312 121.214851 \nL 207.819316 119.053605 \nL 207.360168 117.255179 \nL 206.246716 115.900649 \nL 204.470029 115.05336 \nL 202.051277 114.750899 \nL 199.042836 114.999265 \nL 195.525979 115.770636 \nL 191.60513 117.005631 \nL 187.39945 118.619971 \nL 183.033005 120.514398 \nL 174.282552 124.738271 \nL 166.126521 128.978489 \nL 155.932301 134.538147 \nL 150.657768 137.595633 \nL 146.500428 140.237228 \nL 143.285241 142.595331 \nL 140.819615 144.78199 \nL 138.921944 146.873315 \nL 137.433856 148.912162 \nL 136.223227 150.917129 \nL 134.224557 154.83189 \nL 132.285285 158.57826 \nL 130.59382 161.240944 \nL 129.262125 162.932801 \nL 127.711441 164.548936 \nL 125.891184 166.078618 \nL 123.746438 167.505782 \nL 121.217078 168.80553 \nL 118.238 169.939298 \nL 114.741127 170.848265 \nL 112.777553 171.192432 \nL 110.660321 171.444626 \nL 108.383036 171.587523 \nL 105.940996 171.600496 \nL 103.33194 171.459205 \nL 100.556995 171.135242 \nL 97.621825 170.595862 \nL 94.538043 169.803903 \nL 91.324841 168.718027 \nL 88.010845 167.293392 \nL 84.636107 165.482994 \nL 81.254082 163.239887 \nL 77.933354 160.5205 \nL 74.758765 157.289278 \nL 71.831457 153.524662 \nL 69.267243 149.226326 \nL 67.192719 144.423118 \nL 65.73859 139.180664 \nL 65.030091 133.607167 \nL 65.17489 127.855347 \nL 66.249758 122.1186 \nL 68.287971 116.619847 \nL 71.270186 111.593117 \nL 75.121182 107.259654 \nL 79.714143 103.802609 \nL 84.882341 101.345284 \nL 90.436265 99.937902 \nL 96.182792 99.555737 \nL 101.942707 100.108518 \nL 107.563679 101.458231 \nL 112.927368 103.440679 \nL 117.950888 105.886151 \nL 122.584036 108.635844 \nL 126.804009 111.552454 \nL 130.609244 114.525113 \nL 134.013491 117.469822 \nL 137.040748 120.326922 \nL 139.721249 123.057095 \nL 144.177046 128.054917 \nL 147.654095 132.397492 \nL 151.585338 137.753422 \nL 155.502102 143.062975 \nL 157.24449 145.059971 \nL 158.997645 146.669699 \nL 160.849678 147.91217 \nL 162.871941 148.793215 \nL 165.122202 149.305372 \nL 167.646105 149.428978 \nL 170.47658 149.133692 \nL 173.630833 148.381044 \nL 177.104568 147.128713 \nL 180.863156 145.337759 \nL 184.829894 142.984046 \nL 186.852502 141.596678 \nL 188.872413 140.075037 \nL 190.862277 138.428635 \nL 192.789963 136.671933 \nL 194.618611 134.825079 \nL 196.307002 132.914522 \nL 197.810313 130.973351 \nL 199.081323 129.041218 \nL 200.072149 127.163694 \nL 200.736489 125.390971 \nL 201.032324 123.775755 \nL 200.924921 122.370428 \nL 200.38989 121.223609 \nL 199.415971 120.376361 \nL 198.007139 119.858532 \nL 196.183715 119.685754 \nL 193.982117 119.857609 \nL 191.453211 120.357348 \nL 188.65933 121.153374 \nL 185.670297 122.202328 \nL 182.558942 123.45326 \nL 176.249693 126.347302 \nL 170.223435 129.444732 \nL 164.820636 132.468794 \nL 160.218576 135.280268 \nL 156.461941 137.847595 \nL 153.508041 140.199261 \nL 151.267876 142.383717 \nL 149.635956 144.445546 \nL 148.508875 146.415713 \nL 147.795317 148.310436 \nL 147.420395 150.133985 \nL 147.326602 151.882413 \nL 147.472985 153.546756 \nL 147.833539 155.115236 \nL 148.395451 156.57442 \nL 149.15753 157.90953 \nL 150.128969 159.104087 \nL 151.328487 160.139021 \nL 152.783814 160.99136 \nL 154.53139 161.63251 \nL 156.616117 162.026123 \nL 159.090846 162.125528 \nL 162.015174 161.870775 \nL 165.452815 161.185505 \nL 169.466446 159.974151 \nL 174.108403 158.120686 \nL 176.674837 156.911814 \nL 179.404946 155.491238 \nL 182.293838 153.841143 \nL 185.331223 151.944642 \nL 188.499933 149.787006 \nL 191.774268 147.357351 \nL 195.118173 144.650787 \nL 198.483398 141.671121 \nL 201.807759 138.434046 \nL 205.013828 134.970693 \nL 208.008357 131.33128 \nL 210.682957 127.588322 \nL 212.916554 123.838702 \nL 214.580181 120.20361 \nL 215.544539 116.825205 \nL 215.690348 113.859025 \nL 214.921008 111.461599 \nL 213.176183 109.773712 \nL 210.444118 108.901332 \nL 206.769943 108.897553 \nL 202.25719 109.750045 \nL 197.06103 111.37816 \nL 191.373519 113.641794 \nL 185.403437 116.360824 \nL 179.354847 119.34074 \nL 145.358156 136.73298 \nL 134.777529 141.877709 \nL 131.197906 143.820801 \nL 128.368579 145.588312 \nL 126.047177 147.269289 \nL 122.177166 150.483094 \nL 119.408638 152.727566 \nL 117.440396 154.092042 \nL 115.29144 155.305286 \nL 112.909187 156.320004 \nL 110.256295 157.080055 \nL 107.312304 157.518189 \nL 105.730381 157.591963 \nL 104.07798 157.554026 \nL 102.359692 157.392187 \nL 100.582481 157.093521 \nL 98.756046 156.644572 \nL 96.893204 156.031649 \nL 95.010242 155.241258 \nL 93.127268 154.260714 \nL 91.268444 153.078903 \nL 89.46212 151.687236 \nL 87.740743 150.080803 \nL 86.140531 148.259652 \nL 84.700788 146.230164 \nL 83.462848 144.00641 \nL 82.468591 141.611339 \nL 81.758533 139.077613 \nL 81.369582 136.447888 \nL 81.332558 133.774336 \nL 81.669727 131.117221 \nL 82.39256 128.542522 \nL 83.500056 126.118627 \nL 84.977872 123.912363 \nL 86.798448 121.984698 \nL 88.922209 120.386696 \nL 91.299753 119.156157 \nL 93.874793 118.315425 \nL 96.587495 117.870599 \nL 99.377871 117.812249 \nL 102.188811 118.117384 \nL 104.968544 118.752346 \nL 107.67233 119.676182 \nL 110.263404 120.844049 \nL 112.713212 122.210251 \nL 115.001089 123.730769 \nL 117.113543 125.365032 \nL 119.043307 127.077055 \nL 120.788287 128.835989 \nL 122.35051 130.616176 \nL 123.735132 132.396904 \nL 124.949566 134.16192 \nL 126.904378 137.598747 \nL 128.293715 140.864044 \nL 129.196487 143.93076 \nL 129.683026 146.793666 \nL 129.810634 149.459693 \nL 129.621901 151.94151 \nL 129.144644 154.253438 \nL 128.392674 156.408816 \nL 127.366879 158.418172 \nL 126.056351 160.287714 \nL 124.439459 162.017833 \nL 122.484918 163.601172 \nL 120.153093 165.020024 \nL 117.3979 166.242695 \nL 114.169987 167.218534 \nL 112.36371 167.591298 \nL 110.422154 167.871373 \nL 108.341239 168.043937 \nL 106.118446 168.091516 \nL 103.753435 167.993726 \nL 101.248814 167.727069 \nL 98.611053 167.264816 \nL 95.851569 166.57706 \nL 92.987953 165.631002 \nL 90.045336 164.391611 \nL 87.057803 162.822744 \nL 84.06977 160.888895 \nL 81.137124 158.557725 \nL 78.327915 155.803442 \nL 75.722248 152.61108 \nL 73.411059 148.981545 \nL 71.493314 144.937076 \nL 70.071419 140.526484 \nL 69.244679 135.829216 \nL 69.101041 130.95706 \nL 69.707864 126.052199 \nL 71.102868 121.280732 \nL 73.28685 116.821303 \nL 76.21981 112.849788 \nL 79.821705 109.521983 \nL 83.978236 106.957306 \nL 88.550965 105.226645 \nL 93.39002 104.346768 \nL 98.347181 104.282303 \nL 103.287163 104.954358 \nL 108.095614 106.253626 \nL 112.683288 108.055012 \nL 116.986713 110.231143 \nL 120.966241 112.662905 \nL 124.602511 115.246316 \nL 127.892315 117.895823 \nL 130.84452 120.544743 \nL 133.476466 123.143841 \nL 135.811005 125.658817 \nL 139.693528 130.356851 \nL 142.711033 134.558522 \nL 145.074625 138.264335 \nL 148.561305 144.342384 \nL 150.649664 147.90971 \nL 151.994209 149.883827 \nL 153.397324 151.561263 \nL 154.928112 152.952654 \nL 156.647883 154.057543 \nL 158.613275 154.864029 \nL 160.878233 155.348213 \nL 163.494659 155.473462 \nL 166.511314 155.189699 \nL 169.970395 154.433154 \nL 173.900914 153.127538 \nL 176.045834 152.24247 \nL 178.307733 151.188112 \nL 180.680737 149.954077 \nL 183.15505 148.531068 \nL 185.716083 146.91169 \nL 188.343525 145.091495 \nL 191.010356 143.070263 \nL 193.68191 140.853513 \nL 196.315066 138.454215 \nL 198.857693 135.894606 \nL 201.248559 133.207972 \nL 203.4179 130.440132 \nL 205.288877 127.650321 \nL 206.780156 124.911062 \nL 207.80977 122.306572 \nL 208.300254 119.929336 \nL 208.184876 117.874595 \nL 207.414452 116.232906 \nL 205.963934 115.081342 \nL 203.837731 114.474498 \nL 201.072597 114.436819 \nL 197.737219 114.957981 \nL 193.928073 115.992688 \nL 189.761916 117.465277 \nL 185.365997 119.278681 \nL 180.867608 121.325841 \nL 172.018414 125.712298 \nL 160.317277 131.911336 \nL 151.34351 136.926763 \nL 146.852757 139.666888 \nL 143.366887 142.081317 \nL 140.686882 144.295451 \nL 138.620864 146.397904 \nL 136.9995 148.440615 \nL 135.680495 150.447723 \nL 134.020372 153.402652 \nL 131.402178 158.130655 \nL 130.219467 159.92738 \nL 128.879173 161.656643 \nL 127.330981 163.308626 \nL 125.523378 164.871001 \nL 123.401812 166.326454 \nL 120.907694 167.649276 \nL 117.978555 168.800704 \nL 114.550006 169.722653 \nL 112.628901 170.072164 \nL 110.560524 170.329518 \nL 108.339149 170.478037 \nL 105.960739 170.49796 \nL 103.423652 170.366086 \nL 100.729528 170.055463 \nL 97.88437 169.535182 \nL 94.899839 168.77034 \nL 91.79476 167.722306 \nL 88.596806 166.349409 \nL 85.344302 164.608211 \nL 82.087981 162.455605 \nL 78.892513 159.851876 \nL 75.837455 156.764931 \nL 73.017215 153.175734 \nL 70.539531 149.084796 \nL 68.521913 144.519245 \nL 67.085647 139.539621 \nL 66.34723 134.245008 \nL 66.407587 128.774869 \nL 67.340132 123.305789 \nL 69.179415 118.041919 \nL 71.912609 113.198955 \nL 75.476046 108.983211 \nL 79.758249 105.569006 \nL 84.60959 103.07874 \nL 89.857027 101.569905 \nL 95.321136 101.03182 \nL 100.83224 101.392436 \nL 106.242942 102.532978 \nL 111.435639 104.306744 \nL 116.324988 106.557884 \nL 120.856288 109.137018 \nL 125.001281 111.911966 \nL 128.752814 114.77344 \nL 132.119426 117.636445 \nL 135.12056 120.438758 \nL 137.78263 123.137731 \nL 142.212896 128.129972 \nL 145.665752 132.522329 \nL 149.54161 138.018538 \nL 154.156617 144.714558 \nL 155.787768 146.677904 \nL 157.458176 148.282737 \nL 159.24937 149.543926 \nL 161.229466 150.462979 \nL 163.456195 151.028418 \nL 165.978318 151.216222 \nL 168.835095 150.990603 \nL 172.053373 150.305541 \nL 175.641762 149.107924 \nL 179.581356 147.343543 \nL 183.81266 144.967584 \nL 186.004008 143.54281 \nL 188.219142 141.961438 \nL 190.431655 140.229244 \nL 192.609494 138.35707 \nL 194.714723 136.361885 \nL 196.703584 134.267773 \nL 198.526929 132.106723 \nL 200.131196 129.919081 \nL 201.45999 127.753398 \nL 202.456358 125.665552 \nL 203.065754 123.716892 \nL 203.239614 121.971315 \nL 202.939262 120.491354 \nL 202.139857 119.333455 \nL 200.833806 118.542948 \nL 199.033154 118.149372 \nL 196.770426 118.162965 \nL 194.097596 118.572953 \nL 191.083123 119.348246 \nL 187.807356 120.440482 \nL 184.35689 121.789058 \nL 177.274523 124.988631 \nL 170.446475 128.446693 \nL 164.300833 131.801379 \nL 159.05957 134.872691 \nL 154.776167 137.626032 \nL 151.394584 140.107186 \nL 148.802363 142.387316 \nL 146.868067 144.530917 \nL 145.463659 146.583487 \nL 144.475873 148.570847 \nL 143.810603 150.503481 \nL 143.393292 152.381882 \nL 143.167283 154.201078 \nL 143.100341 156.802928 \nL 143.286498 159.230406 \nL 143.6864 161.462279 \nL 144.296761 163.480898 \nL 145.143329 165.269102 \nL 145.863618 166.323047 \nL 146.733691 167.256817 \nL 147.781617 168.058992 \nL 149.042119 168.71405 \nL 150.557496 169.200854 \nL 152.378661 169.49066 \nL 154.566142 169.544562 \nL 157.190787 169.310163 \nL 160.333727 168.717382 \nL 164.084733 167.673471 \nL 168.537594 166.057614 \nL 173.780213 163.716426 \nL 176.719183 162.216662 \nL 179.87585 160.46326 \nL 183.248942 158.429134 \nL 186.830532 156.087226 \nL 190.603847 153.41212 \nL 194.540653 150.382354 \nL 198.598274 146.983626 \nL 202.716359 143.212989 \nL 206.813615 139.084143 \nL 210.784949 134.63365 \nL 214.49964 129.927759 \nL 217.801426 125.068911 \nL 220.511645 120.200607 \nL 222.43669 115.508571 \nL 223.380804 111.215693 \nL 223.164626 107.568233 \nL 221.648564 104.811884 \nL 218.758041 103.158537 \nL 214.505492 102.748558 \nL 209.002687 103.617299 \nL 202.457497 105.676637 \nL 195.15287 108.720461 \nL 187.411308 112.455927 \nL 179.553344 116.553 \nL 157.773746 128.191764 \nL 151.60672 131.274989 \nL 146.076585 133.862814 \nL 141.170328 135.981828 \nL 136.850156 137.687311 \nL 129.75699 140.128077 \nL 124.347083 141.696111 \nL 107.688014 145.986244 \nL 106.046461 146.213019 \nL 104.429292 146.270618 \nL 102.826687 146.129879 \nL 101.248811 145.766247 \nL 99.723325 145.162483 \nL 98.292852 144.311708 \nL 97.011826 143.220737 \nL 95.942218 141.913366 \nL 95.147785 140.432856 \nL 94.686969 138.842693 \nL 94.604961 137.22456 \nL 94.9261 135.672937 \nL 95.648097 134.286402 \nL 96.150725 133.684315 \nL 96.739552 133.156796 \nL 97.40638 132.712479 \nL 98.934639 132.099439 \nL 100.647345 131.878167 \nL 102.44825 132.05084 \nL 104.242536 132.591842 \nL 105.94467 133.454269 \nL 107.483528 134.578043 \nL 108.804593 135.897732 \nL 109.869688 137.348751 \nL 110.655021 138.871414 \nL 111.148376 140.412899 \nL 111.346171 141.927561 \nL 111.250847 143.376116 \nL 110.868901 144.724194 \nL 110.20968 145.940624 \nL 109.285001 146.995754 \nL 108.109567 147.859962 \nL 106.702158 148.502555 \nL 105.087503 148.891224 \nL 103.298734 148.992281 \nL 101.380199 148.771977 \nL 99.390256 148.199238 \nL 97.403487 147.250113 \nL 95.511439 145.914038 \nL 93.820877 144.201647 \nL 93.087444 143.21551 \nL 92.448401 142.153065 \nL 91.918264 141.025078 \nL 91.510713 139.844804 \nL 91.238078 138.627941 \nL 91.110812 137.392417 \nL 91.136979 136.15806 \nL 91.321776 134.946096 \nL 91.667159 133.778523 \nL 92.171575 132.67738 \nL 92.829846 131.663929 \nL 93.633224 130.757848 \nL 94.569618 129.976443 \nL 95.623992 129.333995 \nL 96.77888 128.841236 \nL 98.015031 128.505029 \nL 99.31209 128.328282 \nL 100.649293 128.310034 \nL 102.006139 128.445775 \nL 103.362968 128.72789 \nL 104.701458 129.146233 \nL 106.004987 129.688732 \nL 107.258886 130.342014 \nL 109.569548 131.924425 \nL 111.557603 133.781116 \nL 113.177505 135.808469 \nL 114.408127 137.918274 \nL 115.245816 140.039586 \nL 115.697828 142.117403 \nL 115.776943 144.109638 \nL 115.497529 145.983444 \nL 114.87309 147.711571 \nL 113.915148 149.268997 \nL 112.633348 150.629937 \nL 111.03665 151.765234 \nL 109.135629 152.640174 \nL 106.945869 153.212801 \nL 104.492546 153.433058 \nL 101.816147 153.243251 \nL 100.412759 152.975043 \nL 98.979116 152.580678 \nL 97.527588 152.052488 \nL 96.072729 151.383455 \nL 94.631398 150.567645 \nL 93.222813 149.600746 \nL 91.868477 148.480653 \nL 90.591999 147.208142 \nL 89.418739 145.787558 \nL 88.375261 144.227492 \nL 87.488604 142.541405 \nL 86.785345 140.748066 \nL 86.290477 138.871791 \nL 86.026176 136.942333 \nL 86.0105 134.994419 \nL 86.256136 133.066809 \nL 86.769322 131.200957 \nL 87.549035 129.439255 \nL 88.586584 127.823018 \nL 89.865664 126.390356 \nL 91.362924 125.174159 \nL 93.048955 124.200354 \nL 94.889718 123.486666 \nL 96.848172 123.041973 \nL 98.886019 122.866327 \nL 100.965396 122.951589 \nL 103.050342 123.282572 \nL 105.108011 123.838531 \nL 107.109505 124.594815 \nL 109.030382 125.52451 \nL 110.850825 126.599952 \nL 112.555556 127.79397 \nL 114.133526 129.080882 \nL 115.577485 130.437148 \nL 116.883455 131.841786 \nL 118.050185 133.276541 \nL 119.078605 134.725877 \nL 120.732123 137.6188 \nL 121.876951 140.443581 \nL 122.553846 143.15216 \nL 122.803013 145.716745 \nL 122.658845 148.122363 \nL 122.147061 150.360953 \nL 121.283561 152.4268 \nL 120.074491 154.312884 \nL 118.517198 156.007778 \nL 116.601965 157.492702 \nL 114.314605 158.738486 \nL 111.640217 159.702263 \nL 110.154319 160.060382 \nL 108.568577 160.323914 \nL 106.883707 160.482085 \nL 105.101837 160.522665 \nL 103.226923 160.431939 \nL 101.265226 160.194737 \nL 99.225842 159.794577 \nL 97.121269 159.213892 \nL 94.968018 158.434453 \nL 92.787212 157.437975 \nL 90.605127 156.20697 \nL 88.453625 154.725882 \nL 86.370392 152.982554 \nL 84.398853 150.969938 \nL 82.587683 148.688125 \nL 80.989768 146.146462 \nL 79.660525 143.365661 \nL 78.655531 140.379597 \nL 78.027498 137.236441 \nL 77.822715 133.998813 \nL 78.077252 130.742539 \nL 78.813304 127.553856 \nL 80.036173 124.524947 \nL 81.732403 121.748144 \nL 83.869439 119.309358 \nL 86.397032 117.281513 \nL 89.250335 115.71894 \nL 92.35429 114.653581 \nL 95.628772 114.093545 \nL 98.993766 114.024106 \nL 102.374009 114.410919 \nL 105.70256 115.204701 \nL 108.923138 116.346644 \nL 111.991187 117.773737 \nL 114.873865 119.423346 \nL 117.549223 121.23678 \nL 120.004864 123.161616 \nL 122.236371 125.152952 \nL 124.245675 127.173758 \nL 126.039525 129.19456 \nL 127.628134 131.192721 \nL 129.02402 133.151525 \nL 131.293783 136.907871 \nL 132.964018 140.412078 \nL 134.144774 143.652067 \nL 134.932369 146.637544 \nL 135.405921 149.388814 \nL 135.626941 151.930179 \nL 135.640533 154.286294 \nL 135.477285 156.480297 \nL 135.155259 158.53297 \nL 134.681754 160.46247 \nL 134.054695 162.284317 \nL 133.26356 164.011457 \nL 132.28988 165.654242 \nL 131.107322 167.220201 \nL 129.681441 168.713481 \nL 127.969172 170.133754 \nL 125.918231 171.474401 \nL 123.466634 172.719616 \nL 120.542738 173.839971 \nL 117.066527 174.785866 \nL 112.953261 175.478111 \nL 110.6318 175.69317 \nL 108.121495 175.794979 \nL 105.41519 175.758941 \nL 102.508456 175.555557 \nL 99.40081 175.149842 \nL 96.097236 174.500835 \nL 92.610077 173.561336 \nL 88.961289 172.278024 \nL 85.185058 170.592205 \nL 81.330671 168.441492 \nL 77.465445 165.762762 \nL 73.677351 162.496828 \nL 70.076777 158.595129 \nL 66.796652 154.02864 \nL 63.989982 148.798755 \nL 61.823754 142.949251 \nL 60.468438 136.577637 \nL 60.082913 129.843036 \nL 60.795805 122.967338 \nL 62.685609 116.226117 \nL 65.763565 109.927594 \nL 69.963673 104.38058 \nL 75.143624 99.856163 \nL 81.098045 96.55119 \nL 87.581925 94.562335 \nL 94.339199 93.877458 \nL 101.130112 94.385889 \nL 107.751893 95.903809 \nL 114.050003 98.207192 \nL 119.920132 101.064062 \nL 125.303352 104.259863 \nL 130.177506 107.613287 \nL 134.547626 110.982753 \nL 138.437147 114.265807 \nL 141.880807 117.394221 \nL 147.595967 123.044494 \nL 152.034004 127.817542 \nL 161.736866 138.612222 \nL 163.740767 140.394116 \nL 165.67476 141.723632 \nL 167.631336 142.638732 \nL 169.67654 143.162047 \nL 171.853223 143.304427 \nL 174.18254 143.068818 \nL 176.663677 142.454751 \nL 179.272026 141.463759 \nL 181.956235 140.106035 \nL 184.635025 138.408341 \nL 187.195162 136.422682 \nL 189.492616 134.234279 \nL 191.359359 131.966383 \nL 192.075566 130.851256 \nL 192.618022 129.778314 \nL 192.966947 128.771104 \nL 193.105293 127.853236 \nL 193.019775 127.047365 \nL 192.7018 126.374092 \nL 192.148286 125.850832 \nL 191.362221 125.490799 \nL 190.352925 125.302179 \nL 189.135951 125.287615 \nL 187.732597 125.444076 \nL 186.169059 125.763151 \nL 182.683674 126.832869 \nL 178.940034 128.354279 \nL 175.193476 130.164604 \nL 171.659614 132.115699 \nL 168.495465 134.095097 \nL 165.79681 136.030732 \nL 163.606923 137.884014 \nL 161.930551 139.638054 \nL 160.748295 141.286444 \nL 160.028769 142.825093 \nL 159.737581 144.24743 \nL 159.843282 145.542216 \nL 160.320784 146.692888 \nL 161.152892 147.677609 \nL 162.330454 148.469453 \nL 163.851434 149.03649 \nL 165.719097 149.341785 \nL 167.939232 149.343397 \nL 170.516224 148.994807 \nL 173.447644 148.246242 \nL 176.716923 147.047694 \nL 180.283811 145.354622 \nL 184.072584 143.137549 \nL 187.958812 140.396498 \nL 189.883138 138.842257 \nL 191.756967 137.180415 \nL 193.546382 135.428399 \nL 195.213382 133.609372 \nL 196.716476 131.75259 \nL 198.011689 129.893427 \nL 199.054017 128.072917 \nL 199.799352 126.336745 \nL 200.206833 124.733527 \nL 200.241518 123.312434 \nL 199.877172 122.120219 \nL 199.098905 121.197868 \nL 197.905332 120.577199 \nL 196.309893 120.277932 \nL 194.341098 120.305598 \nL 192.041494 120.650749 \nL 189.465393 121.28969 \nL 186.675597 122.186705 \nL 183.739454 123.297449 \nL 177.696139 125.964177 \nL 171.821121 128.915252 \nL 166.472174 131.863887 \nL 161.855101 134.647697 \nL 158.043713 137.211637 \nL 155.019229 139.567056 \nL 152.709761 141.752724 \nL 151.020851 143.809172 \nL 149.855585 145.766507 \nL 149.126128 147.641395 \nL 148.759311 149.438688 \nL 148.698489 151.154546 \nL 148.903335 152.779416 \nL 149.348639 154.300151 \nL 150.022783 155.701181 \nL 150.926285 156.964785 \nL 152.07059 158.070661 \nL 153.477134 158.99491 \nL 155.176636 159.70854 \nL 157.208439 160.175531 \nL 159.619638 160.350508 \nL 162.463548 160.176097 \nL 165.796841 159.580217 \nL 169.674345 158.473839 \nL 174.14003 156.750344 \nL 176.600728 155.619684 \nL 179.212209 154.288625 \nL 181.968991 152.741459 \nL 184.860559 150.963528 \nL 187.870074 148.942347 \nL 190.97291 146.669124 \nL 194.135095 144.140659 \nL 197.311744 141.3617 \nL 200.445626 138.347688 \nL 203.46612 135.127772 \nL 206.288825 131.747847 \nL 208.816277 128.273198 \nL 210.940158 124.790109 \nL 212.545481 121.405702 \nL 213.517039 118.245059 \nL 213.748165 115.444884 \nL 213.151359 113.14327 \nL 211.669737 111.465969 \nL 209.287501 110.510584 \nL 206.037358 110.331462 \nL 202.002585 110.928551 \nL 197.312458 112.243686 \nL 192.131012 114.166187 \nL 186.640911 116.547275 \nL 181.025498 119.22039 \nL 170.062036 124.812646 \nL 148.439641 136.009011 \nL 140.117759 140.288896 \nL 136.093821 142.542731 \nL 132.963953 144.547867 \nL 130.476081 146.426663 \nL 128.416647 148.243349 \nL 124.917279 151.759504 \nL 122.346013 154.253165 \nL 120.483258 155.801826 \nL 118.419099 157.221301 \nL 116.095639 158.471603 \nL 113.464953 159.503694 \nL 110.490179 160.256018 \nL 108.866132 160.503639 \nL 107.14931 160.650566 \nL 105.340446 160.683882 \nL 103.442304 160.589271 \nL 101.460107 160.351035 \nL 99.402048 159.952199 \nL 97.279835 159.37474 \nL 95.109292 158.599976 \nL 92.910938 157.609151 \nL 90.710534 156.384279 \nL 88.539532 154.909261 \nL 86.435305 153.171331 \nL 84.441104 151.162792 \nL 82.605568 148.883016 \nL 80.981729 146.340615 \nL 79.625335 143.55558 \nL 78.592506 140.561127 \nL 77.936693 137.404923 \nL 77.705101 134.149297 \nL 77.934835 130.870089 \nL 78.649172 127.653903 \nL 79.854445 124.593672 \nL 81.538075 121.782866 \nL 83.668122 119.308783 \nL 86.194632 117.245907 \nL 89.052696 115.650142 \nL 92.166842 114.554829 \nL 95.456248 113.969175 \nL 98.840002 113.879165 \nL 102.241839 114.25074 \nL 105.593816 115.034508 \nL 108.83873 116.171239 \nL 111.931229 117.597259 \nL 114.837843 119.24919 \nL 117.536148 121.067536 \nL 120.01344 122.999131 \nL 122.265118 124.998418 \nL 124.29304 127.027813 \nL 126.103973 129.057414 \nL 127.708202 131.06426 \nL 129.118365 133.031396 \nL 131.413253 136.80282 \nL 133.105167 140.319586 \nL 134.305525 143.569578 \nL 135.11194 146.562711 \nL 135.604723 149.319593 \nL 135.846472 151.86483 \nL 135.883314 154.223362 \nL 135.746828 156.418575 \nL 135.456088 158.471489 \nL 135.019478 160.40049 \nL 134.436116 162.221365 \nL 133.696844 163.947398 \nL 132.78475 165.589419 \nL 131.675302 167.155673 \nL 130.336109 168.651373 \nL 128.726413 170.077813 \nL 126.796425 171.430817 \nL 124.486688 172.698237 \nL 121.727813 173.856061 \nL 118.441137 174.862618 \nL 114.541319 175.650106 \nL 112.33439 175.930524 \nL 109.942502 176.112714 \nL 107.356865 176.174924 \nL 104.570735 176.090847 \nL 101.580433 175.828996 \nL 98.386677 175.3521 \nL 94.996239 174.616643 \nL 91.423991 173.572666 \nL 87.695331 172.164031 \nL 83.848959 170.329393 \nL 79.939896 168.004244 \nL 76.042459 165.124404 \nL 72.252803 161.63137 \nL 68.690375 157.479866 \nL 65.497397 152.647683 \nL 62.835368 147.147377 \nL 60.877511 141.038725 \nL 59.79651 134.439756 \nL 59.747639 127.533262 \nL 60.84874 120.565091 \nL 63.16007 113.831084 \nL 66.66838 107.651402 \nL 71.279886 102.334557 \nL 76.825368 98.137285 \nL 83.077744 95.229298 \nL 89.778856 93.671816 \nL 96.669361 93.415305 \nL 103.515209 94.31622 \nL 110.125758 96.167054 \nL 116.361831 98.731194 \nL 122.134821 101.774387 \nL 127.399819 105.087635 \nL 132.146008 108.499852 \nL 136.386856 111.881516 \nL 140.151634 115.141979 \nL 143.478808 118.223381 \nL 148.993212 123.737919 \nL 155.05802 130.342648 \nL 160.570115 136.481062 \nL 162.734257 138.638111 \nL 164.723178 140.294887 \nL 166.653948 141.506193 \nL 168.612735 142.308698 \nL 170.659396 142.724499 \nL 172.830451 142.76496 \nL 175.140348 142.434884 \nL 177.58108 141.737274 \nL 180.120451 140.679 \nL 182.69959 139.277526 \nL 185.230679 137.568537 \nL 187.596424 135.613708 \nL 189.653229 133.506972 \nL 191.240243 131.376661 \nL 191.806483 130.351108 \nL 192.195807 129.380369 \nL 192.39179 128.486249 \nL 192.38118 127.689935 \nL 192.154769 127.011042 \nL 191.708154 126.466612 \nL 191.04231 126.070182 \nL 190.163909 125.830985 \nL 189.085334 125.753414 \nL 187.824368 125.836781 \nL 186.40355 126.075423 \nL 183.190564 126.974135 \nL 179.682403 128.329386 \nL 176.11918 129.994692 \nL 172.711633 131.829405 \nL 169.620577 133.720645 \nL 166.950959 135.591056 \nL 164.757295 137.395093 \nL 163.055187 139.109568 \nL 161.83434 140.723413 \nL 161.070206 142.229641 \nL 160.733003 143.620193 \nL 160.793927 144.883273 \nL 161.228942 146.002319 \nL 162.02063 146.955784 \nL 163.158584 147.717263 \nL 164.638656 148.255587 \nL 166.46122 148.534921 \nL 168.628445 148.515004 \nL 171.140389 148.151791 \nL 173.989684 147.39908 \nL 177.154437 146.2118 \nL 180.589192 144.551853 \nL 184.214055 142.397538 \nL 187.902983 139.757232 \nL 191.473558 136.687069 \nL 193.140735 135.026165 \nL 194.682559 133.310136 \nL 196.060382 131.567274 \nL 197.233743 129.831201 \nL 198.161767 128.140314 \nL 198.80497 126.536729 \nL 199.127396 125.064644 \nL 199.098981 123.768142 \nL 198.697968 122.688532 \nL 197.913119 121.861434 \nL 196.745461 121.31395 \nL 195.209277 121.062216 \nL 193.332132 121.10979 \nL 191.153829 121.447171 \nL 188.724331 122.052575 \nL 186.100848 122.893913 \nL 183.344429 123.931751 \nL 177.675345 126.42344 \nL 172.157988 129.195049 \nL 167.121226 131.988284 \nL 162.759726 134.651478 \nL 159.149695 137.126742 \nL 156.282359 139.416071 \nL 154.098641 141.547894 \nL 152.516812 143.55418 \nL 151.451272 145.45895 \nL 150.823742 147.274814 \nL 150.568997 149.003809 \nL 150.637073 150.639801 \nL 150.993453 152.170864 \nL 151.618216 153.580982 \nL 152.504779 154.850859 \nL 153.658605 155.957925 \nL 155.095989 156.875657 \nL 156.842947 157.572291 \nL 158.934051 158.009091 \nL 161.4109 158.138277 \nL 164.31978 157.900775 \nL 167.707804 157.224198 \nL 171.616455 156.021749 \nL 176.071183 154.193418 \nL 178.503065 153.010956 \nL 181.065246 151.631764 \nL 183.747973 150.043528 \nL 186.536058 148.235895 \nL 189.407687 146.201695 \nL 192.333154 143.938516 \nL 195.273597 141.450587 \nL 198.179864 138.750966 \nL 200.991662 135.863932 \nL 203.63726 132.827383 \nL 206.034004 129.694953 \nL 208.089998 126.537355 \nL 209.707262 123.442439 \nL 210.78664 120.51327 \nL 211.234481 117.863651 \nL 210.970841 115.610729 \nL 209.938536 113.86487 \nL 208.11181 112.717628 \nL 205.50313 112.22956 \nL 202.166408 112.42027 \nL 198.195446 113.263156 \nL 193.717166 114.686733 \nL 188.880425 116.582894 \nL 183.842282 118.82072 \nL 173.75065 123.781488 \nL 156.358315 132.897927 \nL 146.992239 137.918223 \nL 142.377434 140.560335 \nL 138.804341 142.85702 \nL 136.032419 144.957132 \nL 133.842486 146.956376 \nL 132.047271 148.90527 \nL 129.764281 151.77023 \nL 126.884947 155.452924 \nL 125.318631 157.200825 \nL 123.574244 158.859268 \nL 121.590688 160.403411 \nL 119.310979 161.802506 \nL 116.681263 163.016516 \nL 113.651725 163.991592 \nL 111.973334 164.367569 \nL 110.18 164.654489 \nL 108.268717 164.839122 \nL 106.238045 164.906226 \nL 104.088607 164.838384 \nL 101.823679 164.615891 \nL 99.449907 164.216725 \nL 96.978108 163.61667 \nL 94.424199 162.78963 \nL 91.810166 161.70821 \nL 89.165072 160.344665 \nL 86.525978 158.672272 \nL 83.938682 156.667268 \nL 81.458104 154.311328 \nL 79.148089 151.594628 \nL 77.080414 148.5194 \nL 75.33276 145.103693 \nL 73.985452 141.384953 \nL 73.116919 137.422832 \nL 72.798016 133.30048 \nL 73.085609 129.123541 \nL 74.016148 125.016237 \nL 75.600157 121.11432 \nL 77.818693 117.555208 \nL 80.622619 114.466394 \nL 83.935172 111.953796 \nL 87.657671 110.091948 \nL 91.67753 108.917881 \nL 95.877346 108.429613 \nL 100.143667 108.589401 \nL 104.374191 109.330841 \nL 108.482698 110.568209 \nL 112.401516 112.206291 \nL 116.081779 114.149206 \nL 119.492056 116.307219 \nL 122.615986 118.60124 \nL 125.449462 120.96504 \nL 127.997814 123.34571 \nL 130.273246 125.702852 \nL 132.292658 128.007038 \nL 134.075865 130.237987 \nL 137.019627 134.433798 \nL 139.277239 138.245096 \nL 141.010501 141.676269 \nL 142.930126 146.172338 \nL 146.818175 156.00707 \nL 147.715711 157.602319 \nL 148.725965 159.008451 \nL 149.889324 160.225118 \nL 151.247364 161.245031 \nL 152.844798 162.053216 \nL 154.731018 162.625791 \nL 156.96116 162.928221 \nL 159.596461 162.913004 \nL 162.703463 162.516831 \nL 166.351316 161.657535 \nL 170.605942 160.231472 \nL 172.977989 159.267401 \nL 175.519194 158.112874 \nL 178.230823 156.749383 \nL 181.110387 155.158043 \nL 184.150428 153.320365 \nL 187.337069 151.219368 \nL 190.648335 148.841122 \nL 194.052274 146.176797 \nL 197.504982 143.225264 \nL 200.948627 139.996287 \nL 204.30976 136.514193 \nL 207.498238 132.821836 \nL 210.407212 128.984391 \nL 212.914756 125.09234 \nL 214.887799 121.262644 \nL 216.188851 117.636916 \nL 216.685882 114.375369 \nL 216.26503 111.645627 \nL 214.845162 109.606392 \nL 212.392128 108.387289 \nL 208.929921 108.068139 \nL 204.545508 108.662306 \nL 199.384988 110.109052 \nL 193.640497 112.278437 \nL 187.529885 114.988898 \nL 181.273291 118.033774 \nL 169.090644 124.343491 \nL 153.492088 132.408484 \nL 145.410325 136.338519 \nL 130.358793 143.498699 \nL 127.365706 145.203151 \nL 124.922452 146.806607 \nL 121.844586 149.106871 \nL 118.059451 151.950311 \nL 116.066486 153.213516 \nL 113.909407 154.317198 \nL 111.538878 155.211994 \nL 108.923111 155.840398 \nL 106.049512 156.135257 \nL 104.518301 156.133732 \nL 102.928803 156.018867 \nL 101.287081 155.779445 \nL 99.601583 155.403883 \nL 97.883442 154.880486 \nL 96.146759 154.197808 \nL 94.408857 153.345134 \nL 92.690474 152.3131 \nL 91.015851 151.094469 \nL 89.41267 149.68502 \nL 87.911789 148.084577 \nL 86.546716 146.298081 \nL 85.352797 144.33669 \nL 84.366068 142.218713 \nL 83.621791 139.970357 \nL 83.152688 137.626023 \nL 82.986996 135.228077 \nL 83.146457 132.82593 \nL 83.644459 130.474384 \nL 84.48449 128.231222 \nL 85.659179 126.154241 \nL 87.150049 124.29791 \nL 88.928089 122.710063 \nL 90.95513 121.428911 \nL 93.185901 120.480843 \nL 95.570555 119.879185 \nL 98.057381 119.624103 \nL 100.595428 119.703573 \nL 103.136801 120.095217 \nL 105.63844 120.768743 \nL 108.063319 121.688634 \nL 110.381064 122.816767 \nL 112.568055 124.114708 \nL 114.607121 125.545595 \nL 116.486938 127.075456 \nL 118.201271 128.674059 \nL 119.748126 130.31531 \nL 121.128906 131.977295 \nL 122.347621 133.642098 \nL 123.410164 135.295446 \nL 125.096128 138.526222 \nL 126.25055 141.611247 \nL 126.937393 144.522334 \nL 127.213225 147.250261 \nL 127.12317 149.796557 \nL 126.699216 152.167749 \nL 125.959988 154.371408 \nL 124.911338 156.413303 \nL 123.547352 158.295105 \nL 121.851643 160.012227 \nL 119.79892 161.551393 \nL 117.35708 162.887614 \nL 114.490264 163.980329 \nL 112.886364 164.417254 \nL 111.163556 164.768504 \nL 109.318831 165.022292 \nL 107.350364 165.16479 \nL 105.257987 165.179952 \nL 103.043766 165.049359 \nL 100.712669 164.752159 \nL 98.273361 164.265081 \nL 95.739103 163.562652 \nL 93.12874 162.617602 \nL 90.467736 161.401638 \nL 87.789206 159.886572 \nL 85.134815 158.045991 \nL 82.555433 155.857479 \nL 80.111295 153.305456 \nL 77.871514 150.384596 \nL 75.912607 147.103637 \nL 74.31588 143.489278 \nL 73.163465 139.589643 \nL 72.533076 135.476606 \nL 72.491697 131.246177 \nL 73.088834 127.016175 \nL 74.350145 122.920682 \nL 76.272544 119.101292 \nL 78.821796 115.695842 \nL 81.933374 112.826109 \nL 85.516726 110.58636 \nL 89.46251 109.034797 \nL 93.651637 108.189454 \nL 97.964718 108.029135 \nL 102.290473 108.498967 \nL 106.532061 109.519167 \nL 110.61087 110.99525 \nL 114.467819 112.827894 \nL 118.062654 114.921098 \nL 121.371877 117.188035 \nL 124.385971 119.554405 \nL 127.106433 121.959689 \nL 129.542978 124.356829 \nL 131.711081 126.710896 \nL 133.629964 128.997274 \nL 136.806513 133.308434 \nL 139.249796 137.228809 \nL 141.12924 140.755638 \nL 143.212587 145.366033 \nL 146.963083 154.485224 \nL 147.883803 156.187539 \nL 148.901797 157.688206 \nL 150.060525 158.989825 \nL 151.403205 160.087715 \nL 152.975019 160.969293 \nL 154.824863 161.613048 \nL 157.006538 161.986975 \nL 159.579231 162.046506 \nL 162.606854 161.731942 \nL 166.155566 160.965681 \nL 170.288348 159.649867 \nL 172.590233 158.74955 \nL 175.054934 157.665842 \nL 177.683803 156.381285 \nL 180.474706 154.878038 \nL 183.420907 153.13859 \nL 186.50973 151.146769 \nL 189.721017 148.889133 \nL 193.025401 146.356834 \nL 196.382464 143.54797 \nL 199.738917 140.470471 \nL 203.026989 137.145457 \nL 206.163349 133.610853 \nL 209.04895 129.924949 \nL 211.570299 126.169268 \nL 213.602755 122.449961 \nL 215.016314 118.896623 \nL 215.684232 115.657474 \nL 215.494347 112.889974 \nL 214.36226 110.746687 \nL 212.244751 109.357392 \nL 209.150873 108.809914 \nL 205.147968 109.13367 \nL 200.360175 110.290343 \nL 194.958492 112.175344 \nL 189.1436 114.630939 \nL 183.124717 117.468693 \nL 171.234641 123.538833 \nL 155.715168 131.612616 \nL 144.137904 137.327241 \nL 134.057315 142.262457 \nL 130.640757 144.163917 \nL 127.925223 145.911688 \nL 125.677033 147.583199 \nL 118.10154 153.691618 \nL 116.016287 154.95906 \nL 113.712366 156.043916 \nL 111.14749 156.893107 \nL 108.295423 157.443148 \nL 105.149432 157.617939 \nL 103.470934 157.53705 \nL 101.728581 157.327577 \nL 99.930274 156.976352 \nL 98.086796 156.469755 \nL 96.212174 155.794068 \nL 94.324056 154.935967 \nL 92.444009 153.883184 \nL 90.597739 152.625346 \nL 88.815141 151.155 \nL 87.130135 149.468822 \nL 85.580231 147.568947 \nL 84.205702 145.464352 \nL 83.048379 143.172182 \nL 82.150002 140.718843 \nL 81.550181 138.14066 \nL 81.284029 135.483914 \nL 81.379663 132.804028 \nL 81.855761 130.163821 \nL 82.719498 127.630753 \nL 83.965105 125.273322 \nL 85.57336 123.156926 \nL 87.512087 121.33957 \nL 89.737744 119.868001 \nL 92.197924 118.774696 \nL 94.834505 118.076166 \nL 97.587053 117.772726 \nL 100.396143 117.849683 \nL 103.206217 118.279704 \nL 105.967781 119.025955 \nL 108.63884 120.04555 \nL 111.185551 121.292873 \nL 113.582252 122.722453 \nL 115.810969 124.29123 \nL 117.860597 125.96011 \nL 119.725893 127.694873 \nL 121.406409 129.466513 \nL 122.905453 131.251181 \nL 124.229137 133.029827 \nL 125.385539 134.787682 \nL 127.234489 138.199798 \nL 128.532294 141.432667 \nL 129.357061 144.464208 \nL 129.777204 147.292138 \nL 129.847596 149.924945 \nL 129.608268 152.375965 \nL 129.084554 154.659625 \nL 128.28795 156.788986 \nL 127.21723 158.774025 \nL 125.85956 160.620186 \nL 124.191557 162.326811 \nL 122.18037 163.885156 \nL 119.785023 165.275643 \nL 116.958464 166.46403 \nL 113.650998 167.396191 \nL 111.802042 167.74219 \nL 109.816152 167.991302 \nL 107.689624 168.127893 \nL 105.420494 168.133591 \nL 103.009193 167.987037 \nL 100.459366 167.663689 \nL 97.778842 167.135758 \nL 94.980764 166.372307 \nL 92.084869 165.339654 \nL 89.118891 164.002137 \nL 86.119977 162.32343 \nL 83.136027 160.268507 \nL 80.226736 157.80644 \nL 77.464088 154.914066 \nL 74.931955 151.580543 \nL 72.724422 147.812609 \nL 70.94247 143.64008 \nL 69.688754 139.120894 \nL 69.060462 134.344604 \nL 69.140624 129.433133 \nL 69.988729 124.537488 \nL 71.631978 119.829745 \nL 74.058838 115.49025 \nL 77.216478 111.691334 \nL 81.013081 108.579841 \nL 85.325134 106.261713 \nL 90.008631 104.791561 \nL 94.912237 104.169405 \nL 99.890091 104.34489 \nL 104.812244 105.22767 \nL 109.571512 106.701374 \nL 114.086516 108.638252 \nL 118.301397 110.911984 \nL 122.183236 113.40714 \nL 125.718216 116.024931 \nL 128.907411 118.685509 \nL 131.762811 121.327712 \nL 134.303893 123.9072 \nL 136.554851 126.393748 \nL 140.294571 131.020561 \nL 143.20223 135.144878 \nL 145.486577 138.775575 \nL 151.643563 149.199644 \nL 153.026997 150.970736 \nL 154.516788 152.452073 \nL 156.176648 153.646831 \nL 158.0646 154.546821 \nL 160.235349 155.132016 \nL 162.741364 155.369881 \nL 165.632361 155.214646 \nL 168.952653 154.606906 \nL 172.735582 153.474285 \nL 176.993993 151.734507 \nL 179.296414 150.610237 \nL 181.705514 149.30295 \nL 184.20957 147.804166 \nL 186.791711 146.107714 \nL 189.428967 144.210879 \nL 192.091299 142.115755 \nL 194.740725 139.830851 \nL 197.33061 137.372826 \nL 199.80529 134.768292 \nL 202.100243 132.055482 \nL 204.143003 129.285508 \nL 205.855063 126.522838 \nL 207.154948 123.844618 \nL 207.962592 121.338333 \nL 208.20491 119.097579 \nL 207.822277 117.215754 \nL 206.775281 115.778063 \nL 205.050831 114.852568 \nL 202.666532 114.48168 \nL 199.67226 114.675648 \nL 196.148221 115.409713 \nL 192.199397 116.625853 \nL 187.947035 118.239279 \nL 183.518514 120.148474 \nL 174.614136 124.434203 \nL 166.291175 128.752284 \nL 155.870808 134.407834 \nL 150.475084 137.503381 \nL 146.220275 140.164921 \nL 142.927104 142.530719 \nL 140.397736 144.718231 \nL 138.445476 146.807444 \nL 136.907455 148.843514 \nL 135.647713 150.846139 \nL 133.540648 154.758205 \nL 131.461913 158.501372 \nL 130.281876 160.288174 \nL 128.939519 162.007123 \nL 127.385182 163.648834 \nL 125.56757 165.20129 \nL 123.431986 166.647338 \nL 120.919383 167.961219 \nL 117.966587 169.103837 \nL 114.508314 170.016372 \nL 112.569772 170.360562 \nL 110.48209 170.611887 \nL 108.239445 170.753369 \nL 105.83774 170.764877 \nL 103.275323 170.622756 \nL 100.553894 170.299513 \nL 97.679618 169.763594 \nL 94.664459 168.979357 \nL 91.527723 167.907348 \nL 88.297794 166.505008 \nL 85.013983 164.727995 \nL 81.728327 162.532367 \nL 78.507153 159.877748 \nL 75.432023 156.731713 \nL 72.599673 153.07542 \nL 70.120353 148.910317 \nL 68.114099 144.265421 \nL 66.704442 139.204266 \nL 66.009483 133.830081 \nL 66.130712 128.287417 \nL 67.140717 122.758489 \nL 69.071632 117.452897 \nL 71.90666 112.590783 \nL 75.576968 108.381009 \nL 79.965316 104.997942 \nL 84.916504 102.56135 \nL 90.252839 101.123761 \nL 95.791713 100.668017 \nL 101.361937 101.115122 \nL 106.816178 102.339939 \nL 112.03813 104.190707 \nL 116.944526 106.508215 \nL 121.483089 109.141381 \nL 125.627988 111.957741 \nL 129.37428 114.848736 \nL 132.732391 117.730697 \nL 135.723289 120.543005 \nL 138.374577 123.244624 \nL 142.784979 128.225874 \nL 146.223686 132.592976 \nL 150.093298 138.036854 \nL 153.898957 143.524591 \nL 155.569486 145.630556 \nL 157.239623 147.362008 \nL 158.99847 148.739808 \nL 160.91951 149.771109 \nL 163.064165 150.449804 \nL 165.483826 150.757082 \nL 168.220018 150.662207 \nL 171.302341 150.123958 \nL 174.743674 149.093355 \nL 178.532176 147.518834 \nL 182.619709 145.355302 \nL 184.74702 144.043797 \nL 186.906913 142.578767 \nL 189.076206 140.96404 \nL 191.226498 139.207839 \nL 193.323863 137.323757 \nL 195.328765 135.331731 \nL 197.196318 133.258883 \nL 198.876945 131.140099 \nL 200.317615 129.018175 \nL 201.463664 126.943347 \nL 202.261292 124.971973 \nL 202.66066 123.164304 \nL 202.619456 121.581266 \nL 202.106622 120.280365 \nL 201.10589 119.311086 \nL 199.618576 118.710253 \nL 197.665188 118.49809 \nL 195.285434 118.67565 \nL 192.536417 119.224222 \nL 189.48913 120.106945 \nL 186.223639 121.272528 \nL 182.823605 122.660469 \nL 175.940665 125.85053 \nL 169.397037 129.220038 \nL 163.566644 132.456455 \nL 158.631433 135.415548 \nL 154.622547 138.079408 \nL 151.475976 140.495873 \nL 149.080463 142.73063 \nL 147.310574 144.840629 \nL 146.04621 146.864621 \nL 145.182381 148.823448 \nL 144.632836 150.724308 \nL 144.330193 152.565637 \nL 144.224327 154.341128 \nL 144.361061 156.862635 \nL 144.796643 159.188257 \nL 145.24225 160.616178 \nL 145.816171 161.936707 \nL 146.529846 163.141186 \nL 147.401334 164.219536 \nL 148.45537 165.159241 \nL 149.72371 165.944113 \nL 151.24572 166.552738 \nL 153.069084 166.956539 \nL 155.250478 167.117311 \nL 157.855933 166.984109 \nL 160.960399 166.48946 \nL 164.645718 165.544963 \nL 168.995655 164.036818 \nL 174.085881 161.822561 \nL 176.925782 160.398311 \nL 179.965731 158.731837 \nL 183.202747 156.799136 \nL 186.627438 154.576675 \nL 190.222029 152.042919 \nL 193.958049 149.180498 \nL 197.793725 145.979127 \nL 201.671246 142.439346 \nL 205.514051 138.577148 \nL 209.2246 134.429291 \nL 212.683111 130.058963 \nL 215.748074 125.560992 \nL 218.259434 121.065499 \nL 220.045411 116.738203 \nL 220.933782 112.775509 \nL 220.767727 109.392404 \nL 219.42547 106.802278 \nL 216.841164 105.189493 \nL 213.023004 104.678648 \nL 208.063544 105.307214 \nL 202.137677 107.009973 \nL 195.486419 109.621984 \nL 188.388712 112.901949 \nL 181.127587 116.570891 \nL 154.76945 130.418922 \nL 149.447363 133.008757 \nL 140.491687 137.004228 \nL 133.54769 139.742801 \nL 118.274616 145.405962 \nL 110.212934 148.86671 \nL 108.263622 149.395994 \nL 106.235254 149.709049 \nL 104.1192 149.759523 \nL 101.929856 149.501607 \nL 99.704982 148.892948 \nL 97.506252 147.899158 \nL 95.418916 146.500336 \nL 94.449553 145.648835 \nL 93.549265 144.699514 \nL 92.733618 143.657885 \nL 92.018462 142.532026 \nL 91.419472 141.332768 \nL 90.951622 140.073792 \nL 90.62859 138.771599 \nL 90.462152 137.445307 \nL 90.461565 136.116314 \nL 90.633008 134.807754 \nL 90.979117 133.543807 \nL 91.498645 132.348856 \nL 92.186303 131.246572 \nL 93.032787 130.258951 \nL 94.025021 129.405415 \nL 95.146586 128.702009 \nL 96.37832 128.160802 \nL 97.699032 127.789492 \nL 99.086303 127.591292 \nL 100.517283 127.56505 \nL 101.969449 127.705592 \nL 103.421283 128.004271 \nL 104.852816 128.449622 \nL 106.246043 129.028071 \nL 107.5852 129.724679 \nL 108.856881 130.523799 \nL 111.155996 132.366972 \nL 113.081629 134.438381 \nL 114.602393 136.634453 \nL 115.709498 138.87132 \nL 116.408884 141.084393 \nL 116.714459 143.225362 \nL 116.642951 145.258175 \nL 116.21043 147.154832 \nL 115.430387 148.89153 \nL 114.313132 150.445206 \nL 112.866399 151.790538 \nL 111.097042 152.897287 \nL 109.013857 153.728044 \nL 106.631617 154.236498 \nL 103.976421 154.366579 \nL 102.559336 154.269655 \nL 101.092371 154.053121 \nL 99.585127 153.707939 \nL 98.049321 153.225111 \nL 96.499018 152.596013 \nL 94.950834 151.812839 \nL 93.424048 150.869134 \nL 91.940638 149.76043 \nL 90.525179 148.484985 \nL 89.204572 147.044573 \nL 88.007564 145.445312 \nL 86.964049 143.698463 \nL 86.104127 141.821092 \nL 85.456911 139.836537 \nL 85.049166 137.774556 \nL 84.903798 135.67103 \nL 85.038343 133.567196 \nL 85.463559 131.508314 \nL 86.182301 129.541822 \nL 87.188792 127.715101 \nL 88.468424 126.072981 \nL 89.998152 124.655232 \nL 91.747483 123.494329 \nL 93.679966 122.613724 \nL 95.75505 122.026806 \nL 97.930127 121.736634 \nL 100.162548 121.736473 \nL 102.411464 122.011006 \nL 104.639325 122.538015 \nL 106.81297 123.290322 \nL 108.904302 124.23779 \nL 110.890545 125.349142 \nL 112.754177 126.593532 \nL 114.482601 127.941762 \nL 116.067634 129.367107 \nL 117.504902 130.845825 \nL 118.79319 132.357367 \nL 119.933806 133.884382 \nL 120.929986 135.412531 \nL 122.508439 138.428308 \nL 123.574211 141.339096 \nL 124.176563 144.107463 \nL 124.360709 146.714665 \nL 124.163361 149.153105 \nL 123.610552 151.420643 \nL 122.717009 153.516381 \nL 121.486532 155.437335 \nL 119.913073 157.175613 \nL 117.982427 158.71564 \nL 115.674627 160.031151 \nL 112.967402 161.081717 \nL 111.457606 161.490159 \nL 109.8412 161.808741 \nL 108.117377 162.026592 \nL 106.286597 162.131191 \nL 104.351016 162.10827 \nL 102.314981 161.941781 \nL 100.185604 161.613939 \nL 97.973403 161.105369 \nL 95.693005 160.395424 \nL 93.363877 159.462691 \nL 91.011055 158.285778 \nL 88.665796 156.844407 \nL 86.36607 155.120882 \nL 84.156779 153.10195 \nL 82.089556 150.781042 \nL 80.222004 148.160803 \nL 78.61619 145.255766 \nL 77.336324 142.094894 \nL 76.445537 138.723587 \nL 76.001883 135.204697 \nL 76.053791 131.618077 \nL 76.63538 128.058199 \nL 77.762282 124.629725 \nL 79.428566 121.441008 \nL 81.605445 118.596274 \nL 84.242105 116.187265 \nL 87.268773 114.285622 \nL 90.601664 112.937216 \nL 94.149144 112.159279 \nL 97.818224 111.940803 \nL 101.520517 112.245846 \nL 105.176967 113.019102 \nL 108.721003 114.192609 \nL 112.100042 115.692488 \nL 115.27557 117.444896 \nL 118.222164 119.38062 \nL 120.925831 121.438085 \nL 123.382044 123.564968 \nL 125.593729 125.718577 \nL 127.569395 127.865422 \nL 129.321496 129.980245 \nL 130.865061 132.044829 \nL 133.393222 135.978051 \nL 135.289649 139.614317 \nL 136.683307 142.946537 \nL 137.687244 145.99044 \nL 138.395329 148.771861 \nL 139.061658 152.514697 \nL 139.409627 155.823678 \nL 139.57225 159.693408 \nL 139.484232 163.85116 \nL 139.161832 167.430927 \nL 138.724283 169.971225 \nL 138.072348 172.285599 \nL 137.389112 173.90441 \nL 136.477458 175.446804 \nL 135.259005 176.933881 \nL 134.224948 177.904271 \nL 132.967258 178.863459 \nL 131.436344 179.814142 \nL 129.571823 180.755462 \nL 127.300631 181.680402 \nL 124.535213 182.571607 \nL 121.172299 183.394795 \nL 117.093204 184.08854 \nL 112.167514 184.548796 \nL 109.345573 184.6418 \nL 106.263489 184.606251 \nL 102.908319 184.405654 \nL 99.270991 183.995071 \nL 95.348409 183.319817 \nL 91.1462 182.314275 \nL 86.682244 180.901085 \nL 81.991037 178.991075 \nL 77.128892 176.484509 \nL 72.179758 173.274404 \nL 67.261186 169.252891 \nL 62.529475 164.321657 \nL 58.182484 158.407414 \nL 54.457967 151.482576 \nL 51.624763 143.590091 \nL 49.964439 134.868948 \nL 49.74211 125.574131 \nL 51.168137 116.082125 \nL 54.356558 106.872753 \nL 59.290317 98.481867 \nL 65.805286 91.428157 \nL 73.601878 86.128639 \nL 82.285045 82.826097 \nL 91.422998 81.551216 \nL 100.608132 82.131303 \nL 109.503971 84.240502 \nL 117.86896 87.472662 \nL 125.557431 91.413721 \nL 132.504751 95.696202 \nL 138.705688 100.028962 \nL 144.193105 104.204529 \nL 153.25145 111.618627 \nL 169.401998 125.246691 \nL 174.597082 129.270192 \nL 178.381424 132.131688 \nL 178.790986 132.7085 \nL 178.809864 133.027395 \nL 178.566174 133.481554 \nL 177.744935 134.284253 \nL 176.530135 135.510143 \nL 176.134887 136.159265 \nL 176.064381 136.563182 \nL 176.207229 136.862175 \nL 176.560859 137.030822 \nL 177.105143 137.050607 \nL 178.061809 136.830958 \nL 179.161573 136.3428 \nL 180.235552 135.643595 \nL 181.093166 134.839823 \nL 181.484577 134.254878 \nL 181.594176 133.759432 \nL 181.494601 133.509515 \nL 181.25577 133.341211 \nL 180.655072 133.262321 \nL 179.816093 133.400261 \nL 178.478053 133.892693 \nL 177.114998 134.648818 \nL 175.964589 135.537777 \nL 175.212788 136.421346 \nL 174.981411 137.003384 \nL 175.059373 137.463707 \nL 175.283026 137.68291 \nL 175.86176 137.855371 \nL 176.699142 137.818309 \nL 177.739578 137.558611 \nL 178.907291 137.07963 \nL 180.494643 136.145433 \nL 181.560131 135.292055 \nL 182.383672 134.396515 \nL 182.853406 133.558549 \nL 182.927322 133.083747 \nL 182.792933 132.709508 \nL 182.448614 132.458912 \nL 181.905369 132.347606 \nL 180.771774 132.454161 \nL 179.367881 132.872169 \nL 177.848412 133.547946 \nL 176.374481 134.403855 \nL 175.09025 135.354071 \nL 174.108127 136.316131 \nL 173.503567 137.216377 \nL 173.331555 137.750149 \nL 173.350354 138.210792 \nL 173.559234 138.582737 \nL 173.952884 138.851749 \nL 174.521714 139.005041 \nL 175.671893 138.994646 \nL 177.117694 138.673757 \nL 178.766127 138.035492 \nL 180.493763 137.100844 \nL 182.146089 135.927753 \nL 183.544107 134.617046 \nL 184.242577 133.735357 \nL 184.694255 132.904112 \nL 184.857881 132.174197 \nL 184.706885 131.593347 \nL 184.233762 131.20099 \nL 183.452689 131.023625 \nL 182.399591 131.071817 \nL 181.129379 131.339478 \nL 178.9694 132.103516 \nL 176.73158 133.199217 \nL 174.656451 134.493288 \nL 172.935561 135.859731 \nL 171.697776 137.193161 \nL 171.17773 138.02127 \nL 170.913591 138.775461 \nL 170.907391 139.436213 \nL 171.155855 139.985006 \nL 171.651592 140.403861 \nL 172.383672 140.675268 \nL 173.337594 140.78246 \nL 174.494661 140.710115 \nL 175.830849 140.44547 \nL 177.315263 139.979881 \nL 178.908404 139.310867 \nL 180.560513 138.44457 \nL 182.210398 137.398432 \nL 183.785305 136.203786 \nL 185.202451 134.90766 \nL 186.372829 133.573093 \nL 187.207704 132.276941 \nL 187.627645 131.104554 \nL 187.662353 130.591713 \nL 187.573175 130.141214 \nL 187.357516 129.761931 \nL 187.0152 129.461349 \nL 186.548614 129.245283 \nL 185.962745 129.117626 \nL 184.465561 129.132827 \nL 182.610212 129.497021 \nL 180.510005 130.171092 \nL 178.291036 131.095523 \nL 176.07763 132.201603 \nL 173.980294 133.421762 \nL 172.088139 134.696721 \nL 170.466108 135.978591 \nL 169.156164 137.230599 \nL 168.18097 138.424755 \nL 167.548648 139.538783 \nL 167.257478 140.553267 \nL 167.299882 141.449465 \nL 167.665351 142.207886 \nL 168.342226 142.807554 \nL 169.318374 143.225805 \nL 170.580843 143.438562 \nL 172.114544 143.421023 \nL 173.900055 143.14893 \nL 175.91059 142.600522 \nL 178.108247 141.759401 \nL 180.439799 140.618539 \nL 182.832513 139.185442 \nL 185.190832 137.488229 \nL 187.395247 135.581802 \nL 189.30502 133.552557 \nL 190.76655 131.5192 \nL 191.281307 130.545652 \nL 191.62857 129.626928 \nL 191.793338 128.782925 \nL 191.763656 128.032904 \nL 191.531384 127.394613 \nL 191.092851 126.883399 \nL 190.449334 126.5114 \nL 189.607327 126.286846 \nL 188.578521 126.213596 \nL 187.379507 126.29095 \nL 186.031191 126.513727 \nL 182.986685 127.355352 \nL 179.663137 128.62961 \nL 176.283239 130.203084 \nL 173.0441 131.94619 \nL 170.098287 133.752969 \nL 167.547755 135.548645 \nL 165.448039 137.287051 \nL 163.818193 138.942665 \nL 162.652425 140.501621 \nL 161.930747 141.954409 \nL 161.62738 143.290993 \nL 161.716675 144.498186 \nL 162.176756 145.558503 \nL 162.991353 146.449844 \nL 164.150165 147.14552 \nL 165.648086 147.614402 \nL 167.483385 147.821116 \nL 169.654851 147.726503 \nL 172.157747 147.288606 \nL 174.978351 146.464762 \nL 178.086837 145.215428 \nL 181.428469 143.51061 \nL 184.913488 141.339635 \nL 188.406914 138.724635 \nL 191.72095 135.736911 \nL 193.237167 134.143064 \nL 194.614308 132.513031 \nL 195.815829 130.875674 \nL 196.804355 129.264312 \nL 197.543117 127.715981 \nL 197.997743 126.270195 \nL 198.138248 124.967236 \nL 197.941161 123.845997 \nL 197.39156 122.941528 \nL 196.484812 122.282533 \nL 195.22777 121.889043 \nL 193.639234 121.770637 \nL 191.74953 121.925506 \nL 189.599158 122.340536 \nL 187.236646 122.992414 \nL 184.715785 123.849756 \nL 179.42231 126.0317 \nL 174.142133 128.582215 \nL 169.215783 131.241025 \nL 164.866999 133.835211 \nL 161.206015 136.280522 \nL 158.254651 138.556966 \nL 155.977409 140.678682 \nL 154.3088 142.670283 \nL 153.17337 144.553028 \nL 152.498539 146.339108 \nL 152.221832 148.030878 \nL 152.29428 149.622326 \nL 152.681429 151.101001 \nL 153.363013 152.449563 \nL 154.331986 153.646601 \nL 155.593288 154.666661 \nL 157.162535 155.479592 \nL 159.064596 156.049346 \nL 161.3319 156.332364 \nL 164.002096 156.275752 \nL 167.114524 155.815616 \nL 170.704645 154.876105 \nL 174.795347 153.370252 \nL 177.028988 152.375705 \nL 179.383707 151.204392 \nL 181.851959 149.845299 \nL 184.42182 148.288848 \nL 187.076017 146.527841 \nL 189.790886 144.558662 \nL 192.535323 142.382731 \nL 195.269791 140.008215 \nL 197.945522 137.451939 \nL 200.504051 134.741346 \nL 202.877353 131.916355 \nL 204.988755 129.030782 \nL 206.754941 126.152949 \nL 208.089258 123.364973 \nL 208.906437 120.760294 \nL 209.128676 118.439031 \nL 208.69273 116.501048 \nL 207.557317 115.037113 \nL 205.709789 114.119015 \nL 203.170855 113.790152 \nL 199.996134 114.058522 \nL 196.273766 114.893817 \nL 192.118003 116.22981 \nL 187.659606 117.971977 \nL 183.034594 120.008963 \nL 173.791118 124.515478 \nL 161.350601 131.042897 \nL 151.692877 136.329904 \nL 146.831883 139.176216 \nL 143.046976 141.646254 \nL 140.129023 143.882196 \nL 137.872686 145.987625 \nL 136.09513 148.025001 \nL 134.641896 150.024636 \nL 132.799286 152.969917 \nL 130.479176 156.76628 \nL 128.528394 159.469172 \nL 127.017123 161.179587 \nL 125.273812 162.800223 \nL 123.243866 164.312619 \nL 120.870787 165.691268 \nL 118.095905 166.899455 \nL 114.859803 167.883738 \nL 113.050932 168.268921 \nL 111.106307 168.566823 \nL 109.020693 168.762619 \nL 106.790347 168.838832 \nL 104.413603 168.775044 \nL 101.89162 168.547616 \nL 99.229293 168.12952 \nL 96.436335 167.490292 \nL 93.528534 166.596244 \nL 90.529173 165.410982 \nL 87.470535 163.896404 \nL 84.395415 162.01434 \nL 81.358469 159.728959 \nL 78.427156 157.010103 \nL 75.681939 153.837597 \nL 73.215391 150.206484 \nL 71.129748 146.132855 \nL 69.53252 141.659699 \nL 68.530029 136.861808 \nL 68.218936 131.848467 \nL 68.676434 126.762512 \nL 69.950266 121.774606 \nL 72.050249 117.072168 \nL 74.943116 112.843547 \nL 78.552212 109.259467 \nL 82.762724 106.454805 \nL 87.431863 104.514269 \nL 92.402328 103.464918 \nL 97.516583 103.276915 \nL 102.629483 103.871957 \nL 107.617479 105.136998 \nL 112.383609 106.94015 \nL 116.85858 109.145665 \nL 120.998832 111.625836 \nL 124.782784 114.268846 \nL 128.206348 116.982643 \nL 131.278481 119.6956 \nL 134.017264 122.355008 \nL 136.446675 124.92436 \nL 140.488419 129.709192 \nL 143.633694 133.967305 \nL 146.103905 137.701856 \nL 152.718096 148.2791 \nL 154.187597 150.036558 \nL 155.763412 151.486744 \nL 157.512154 152.633095 \nL 159.493293 153.467028 \nL 161.761414 153.967648 \nL 164.367002 154.101387 \nL 167.355389 153.82174 \nL 170.763328 153.069646 \nL 174.612378 151.775403 \nL 178.898178 149.863579 \nL 181.192639 148.653282 \nL 183.574668 147.26316 \nL 186.028519 145.688012 \nL 188.53294 143.925757 \nL 191.060357 141.978648 \nL 193.576106 139.854638 \nL 196.037835 137.568893 \nL 198.395212 135.145324 \nL 200.590065 132.618021 \nL 202.557176 130.032317 \nL 204.225895 127.445244 \nL 205.522752 124.924977 \nL 206.37514 122.548987 \nL 206.716037 120.400566 \nL 206.489511 118.563678 \nL 205.656524 117.116327 \nL 204.200321 116.123038 \nL 202.130521 115.62749 \nL 199.485019 115.646564 \nL 196.329029 116.167128 \nL 192.751101 117.146528 \nL 188.856458 118.517003 \nL 184.758631 120.193371 \nL 180.570677 122.082622 \nL 172.328988 126.145175 \nL 164.778827 130.125055 \nL 155.46404 135.320428 \nL 150.684367 138.215187 \nL 146.934953 140.759053 \nL 144.049451 143.066844 \nL 141.851008 145.231557 \nL 140.175339 147.314411 \nL 138.880444 149.348594 \nL 137.848719 151.347448 \nL 136.591961 154.280954 \nL 134.310811 159.848754 \nL 132.961994 162.448532 \nL 131.894141 164.106471 \nL 130.645127 165.701707 \nL 129.171762 167.231011 \nL 127.425727 168.688395 \nL 125.352136 170.062781 \nL 122.888554 171.334739 \nL 119.964824 172.471814 \nL 116.504339 173.421933 \nL 112.427854 174.104225 \nL 110.135018 174.308827 \nL 107.661717 174.396717 \nL 105.002138 174.343702 \nL 102.153338 174.120997 \nL 99.116406 173.694733 \nL 95.897933 173.025585 \nL 92.511791 172.068646 \nL 88.981247 170.773694 \nL 85.341353 169.086082 \nL 81.641513 166.948512 \nL 77.948049 164.304026 \nL 74.34636 161.100552 \nL 70.942211 157.297251 \nL 67.861405 152.872729 \nL 65.247034 147.834873 \nL 63.253439 142.231353 \nL 62.036292 136.159213 \nL 61.738793 129.771064 \nL 62.474969 123.275015 \nL 64.312288 116.925591 \nL 67.256992 111.004331 \nL 71.245876 105.791181 \nL 76.147617 101.530941 \nL 81.77463 98.401635 \nL 87.903629 96.492148 \nL 94.300634 95.794689 \nL 100.745018 96.213408 \nL 107.048045 97.586044 \nL 113.063394 99.71236 \nL 118.689711 102.382404 \nL 123.867042 105.399295 \nL 128.569713 108.593985 \nL 132.798035 111.831945 \nL 136.570462 115.013524 \nL 139.917065 118.070268 \nL 145.482587 123.657153 \nL 149.810861 128.451543 \nL 154.642303 134.215869 \nL 158.235485 138.516967 \nL 160.271286 140.7089 \nL 162.191755 142.433677 \nL 164.108078 143.733446 \nL 166.10495 144.633611 \nL 168.244774 145.145199 \nL 170.57016 145.267568 \nL 173.104534 144.991585 \nL 175.850676 144.303679 \nL 178.787283 143.19126 \nL 181.863804 141.650084 \nL 184.994384 139.693885 \nL 188.052398 137.366118 \nL 190.868149 134.752426 \nL 192.121258 133.379267 \nL 193.233323 131.990724 \nL 194.174767 130.612618 \nL 194.916262 129.273627 \nL 195.429959 128.004472 \nL 195.690899 126.836809 \nL 195.678529 125.801816 \nL 195.378186 124.92854 \nL 194.782442 124.242151 \nL 193.892143 123.76224 \nL 192.716996 123.501422 \nL 191.275609 123.464339 \nL 189.594919 123.647283 \nL 187.709013 124.038524 \nL 185.657449 124.619315 \nL 181.230706 126.249118 \nL 176.662068 128.312696 \nL 172.259826 130.590942 \nL 168.254784 132.913156 \nL 164.789137 135.172523 \nL 161.926435 137.318299 \nL 159.671921 139.337028 \nL 157.994377 141.233444 \nL 156.84454 143.016584 \nL 156.168483 144.691959 \nL 155.916249 146.25837 \nL 156.046777 147.707436 \nL 156.530216 149.024285 \nL 157.348533 150.188397 \nL 158.495065 151.174111 \nL 159.9734 151.950616 \nL 161.795722 152.481472 \nL 163.980586 152.723819 \nL 166.549848 152.627531 \nL 169.524302 152.134787 \nL 172.917399 151.180692 \nL 176.726208 149.696063 \nL 180.918836 147.613899 \nL 183.137181 146.331254 \nL 185.417789 144.8816 \nL 187.740528 143.263917 \nL 190.079805 141.481121 \nL 192.403979 139.541182 \nL 194.674905 137.458357 \nL 196.847767 135.2544 \nL 198.871276 132.95966 \nL 200.688415 130.613871 \nL 202.237834 128.266416 \nL 203.456046 125.975799 \nL 204.280466 123.808101 \nL 204.653231 121.834154 \nL 204.525636 120.12548 \nL 203.862799 118.749072 \nL 202.648012 117.761476 \nL 200.886142 117.202982 \nL 198.605398 117.092725 \nL 195.856949 117.425802 \nL 192.712202 118.17306 \nL 189.257936 119.283859 \nL 185.589907 120.691514 \nL 181.80586 122.320403 \nL 174.252252 125.939911 \nL 167.20248 129.622496 \nL 161.029014 133.048447 \nL 155.881503 136.101955 \nL 151.748522 138.803483 \nL 148.526186 141.232987 \nL 146.071181 143.477006 \nL 144.234208 145.603555 \nL 142.877915 147.656087 \nL 141.884634 149.656941 \nL 141.158163 151.613726 \nL 140.407014 154.462886 \nL 139.764693 158.072754 \nL 138.52736 165.972313 \nL 137.829979 168.691057 \nL 137.127621 170.591371 \nL 136.20639 172.392619 \nL 134.988976 174.113941 \nL 133.963447 175.226125 \nL 132.722851 176.315169 \nL 131.22041 177.383419 \nL 129.39948 178.429762 \nL 127.19185 179.447187 \nL 124.516179 180.418937 \nL 121.276975 181.31253 \nL 117.365012 182.070587 \nL 112.660796 182.597085 \nL 109.973565 182.728179 \nL 107.043975 182.737466 \nL 103.860159 182.59201 \nL 100.41368 182.251446 \nL 96.701345 181.666841 \nL 92.727585 180.779685 \nL 88.507477 179.521169 \nL 84.070482 177.812084 \nL 79.46489 175.563777 \nL 74.762829 172.680785 \nL 70.065433 169.065932 \nL 65.507492 164.628738 \nL 61.260366 159.297921 \nL 57.531461 153.03835 \nL 54.558188 145.871739 \nL 52.59425 137.898775 \nL 51.886913 129.318068 \nL 52.645885 120.435104 \nL 55.007603 111.65347 \nL 59.002215 103.442481 \nL 64.532994 96.281258 \nL 71.37686 90.587986 \nL 79.209469 86.651439 \nL 87.650252 84.584593 \nL 96.315687 84.31457 \nL 104.866544 85.610811 \nL 113.038551 88.140377 \nL 120.653001 91.531964 \nL 127.610686 95.43141 \nL 133.876069 99.538586 \nL 139.458591 103.623843 \nL 144.395745 107.528241 \nL 152.549985 114.450543 \nL 170.072167 129.887141 \nL 173.210423 132.267242 \nL 175.453396 133.64953 \nL 177.113145 134.362923 \nL 178.36784 134.632507 \nL 179.308199 134.619276 \nL 180.133802 134.368933 \nL 180.487617 134.052918 \nL 180.450384 133.873154 \nL 180.173514 133.796429 \nL 179.498553 133.897485 \nL 178.362695 134.350219 \nL 177.214745 135.066555 \nL 176.371144 135.872946 \nL 176.068736 136.455142 \nL 176.099036 136.796452 \nL 176.353681 137.02108 \nL 176.817724 137.104993 \nL 177.705755 136.973293 \nL 178.791443 136.561497 \nL 179.914134 135.910266 \nL 180.883564 135.110928 \nL 181.507507 134.300205 \nL 181.654239 133.780865 \nL 181.577134 133.513036 \nL 181.357364 133.326363 \nL 180.776343 133.221333 \nL 179.943997 133.337696 \nL 178.593283 133.812457 \nL 177.196204 134.565556 \nL 175.997754 135.465201 \nL 175.192585 136.37044 \nL 174.922482 136.974017 \nL 174.965915 137.458921 \nL 175.170017 137.695523 \nL 175.726103 137.894506 \nL 176.550466 137.882903 \nL 177.589158 137.645531 \nL 178.767782 137.183341 \nL 179.991624 136.518071 \nL 181.148236 135.696264 \nL 182.114427 134.790525 \nL 182.769051 133.8958 \nL 182.981106 133.35814 \nL 182.988431 132.9041 \nL 182.781083 132.561248 \nL 182.361511 132.350953 \nL 181.745223 132.286347 \nL 180.51583 132.46832 \nL 179.043525 132.958966 \nL 177.49044 133.696148 \nL 176.019136 134.597146 \nL 174.770252 135.574355 \nL 173.849691 136.545712 \nL 173.325455 137.438855 \nL 173.213906 137.959445 \nL 173.296517 138.400523 \nL 173.570904 138.746782 \nL 174.03023 138.984237 \nL 174.663423 139.100434 \nL 175.904272 139.025062 \nL 177.428325 138.630451 \nL 179.135339 137.91426 \nL 180.893371 136.90449 \nL 182.539028 135.668632 \nL 183.886124 134.31872 \nL 184.524565 133.429317 \nL 184.89644 132.607841 \nL 184.96353 131.906077 \nL 184.704248 131.370908 \nL 184.117722 131.039024 \nL 183.225742 130.932549 \nL 182.071907 131.05662 \nL 180.717862 131.399525 \nL 178.474043 132.264689 \nL 176.208196 133.438069 \nL 174.157429 134.782695 \nL 172.502979 136.174234 \nL 171.361153 137.511033 \nL 170.915753 138.331007 \nL 170.731552 139.069528 \nL 170.808449 139.707392 \nL 171.14153 140.226162 \nL 171.722096 140.607813 \nL 172.538053 140.834738 \nL 173.573678 140.890178 \nL 174.80878 140.75905 \nL 176.217377 140.429228 \nL 177.765999 139.89327 \nL 179.411858 139.150676 \nL 181.101172 138.21052 \nL 182.768186 137.094262 \nL 184.335381 135.838302 \nL 185.715639 134.495564 \nL 186.816914 133.135188 \nL 187.549754 131.839437 \nL 187.837303 130.697153 \nL 187.796293 130.210774 \nL 187.626537 129.794021 \nL 187.326835 129.455203 \nL 186.89859 129.201005 \nL 186.345883 129.036206 \nL 184.896581 128.983412 \nL 183.061433 129.292582 \nL 180.95292 129.928071 \nL 178.699456 130.831196 \nL 176.430077 131.931813 \nL 174.261278 133.159502 \nL 172.288293 134.451687 \nL 170.581455 135.757534 \nL 169.186916 137.038101 \nL 168.130213 138.264079 \nL 167.421164 139.412602 \nL 167.058831 140.464164 \nL 167.035828 141.40021 \nL 167.341536 142.201528 \nL 167.964159 142.847384 \nL 168.89162 143.315223 \nL 170.111398 143.580823 \nL 171.609373 143.618918 \nL 173.367758 143.404307 \nL 175.362141 142.91365 \nL 177.55778 142.128144 \nL 179.905294 141.037338 \nL 182.336211 139.644183 \nL 184.759134 137.971194 \nL 187.057761 136.066996 \nL 189.092431 134.011912 \nL 190.707138 131.920181 \nL 191.307066 130.904736 \nL 191.743487 129.93596 \nL 191.999687 129.03444 \nL 192.061706 128.220509 \nL 191.919178 127.513359 \nL 191.566067 126.930126 \nL 191.001277 126.484969 \nL 190.229029 126.188276 \nL 189.258998 126.046068 \nL 188.10613 126.059651 \nL 186.790153 126.225571 \nL 183.766921 126.979049 \nL 180.408939 128.202401 \nL 176.947823 129.75961 \nL 173.593993 131.513479 \nL 170.514185 133.348771 \nL 167.822677 135.182569 \nL 165.58406 136.963174 \nL 163.822959 138.66223 \nL 162.536159 140.26517 \nL 161.704054 141.76308 \nL 161.299846 143.147158 \nL 161.296136 144.405617 \nL 161.669089 145.522321 \nL 162.400631 146.476387 \nL 163.479105 147.242202 \nL 164.898734 147.789543 \nL 166.658044 148.083733 \nL 168.757283 148.085924 \nL 171.194693 147.753806 \nL 173.961421 147.043259 \nL 177.034779 145.911524 \nL 180.369689 144.3228 \nL 183.888491 142.257103 \nL 187.47005 139.723054 \nL 190.940309 136.774261 \nL 192.563651 135.177795 \nL 194.068285 133.527025 \nL 195.417613 131.848531 \nL 196.573316 130.173871 \nL 197.496632 128.539082 \nL 198.150018 126.983734 \nL 198.499105 125.549456 \nL 198.514876 124.277933 \nL 198.175893 123.208509 \nL 197.470379 122.375542 \nL 196.397868 121.805731 \nL 194.970215 121.515875 \nL 193.211739 121.511252 \nL 191.158386 121.785042 \nL 188.855966 122.318835 \nL 186.357561 123.084306 \nL 183.720456 124.045768 \nL 178.260948 126.395897 \nL 172.903261 129.05462 \nL 167.974204 131.768633 \nL 163.675805 134.381327 \nL 160.096059 136.825498 \nL 157.238426 139.09396 \nL 155.054376 141.2083 \nL 153.470323 143.196249 \nL 152.406524 145.079585 \nL 151.788733 146.869836 \nL 151.554435 148.568465 \nL 151.655518 150.168776 \nL 152.058804 151.658042 \nL 152.745431 153.019055 \nL 153.709744 154.230862 \nL 154.958024 155.268724 \nL 156.507223 156.103388 \nL 158.383662 156.699783 \nL 160.621515 157.015323 \nL 163.260738 156.997941 \nL 166.343867 156.584164 \nL 169.910913 155.697786 \nL 173.99117 154.25009 \nL 176.226973 153.285359 \nL 178.59053 152.143349 \nL 181.075841 150.811976 \nL 183.672696 149.280278 \nL 186.365685 147.539318 \nL 189.133116 145.583358 \nL 191.945868 143.411292 \nL 194.766286 141.0284 \nL 197.5472 138.448315 \nL 200.231247 135.695166 \nL 202.750707 132.805667 \nL 205.028109 129.83091 \nL 206.977889 126.837434 \nL 208.509389 123.907078 \nL 209.53138 121.135084 \nL 209.95812 118.625931 \nL 209.716725 116.486683 \nL 208.75518 114.817945 \nL 207.049993 113.703314 \nL 204.612141 113.198732 \nL 201.489941 113.323756 \nL 197.767753 114.056908 \nL 193.560209 115.33658 \nL 189.002543 117.067897 \nL 184.238611 119.134471 \nL 174.638932 123.784997 \nL 161.614938 130.588368 \nL 148.749208 137.585575 \nL 144.222774 140.266504 \nL 140.716666 142.614822 \nL 138.007931 144.768461 \nL 135.889407 146.819188 \nL 134.182023 148.81749 \nL 132.073833 151.757114 \nL 128.868216 156.477081 \nL 127.45678 158.267909 \nL 125.874147 159.980493 \nL 124.062593 161.596691 \nL 121.965923 163.093947 \nL 119.527991 164.442186 \nL 116.692646 165.59958 \nL 113.405629 166.507027 \nL 111.577388 166.842159 \nL 109.619293 167.081271 \nL 107.527864 167.208867 \nL 105.301449 167.206925 \nL 102.940839 167.054676 \nL 100.450041 166.728449 \nL 97.837179 166.201639 \nL 95.115551 165.444845 \nL 92.304806 164.426292 \nL 89.432225 163.112617 \nL 86.533992 161.470142 \nL 83.656384 159.466783 \nL 80.856649 157.074672 \nL 78.203349 154.273594 \nL 75.77588 151.055185 \nL 73.662808 147.427701 \nL 71.958697 143.420969 \nL 70.759263 139.090831 \nL 70.154797 134.522153 \nL 70.222268 129.829313 \nL 71.016826 125.153097 \nL 72.563947 120.653341 \nL 74.853612 116.497437 \nL 77.837926 112.845661 \nL 81.433069 109.835555 \nL 85.525674 107.567906 \nL 89.982746 106.097159 \nL 94.663447 105.42801 \nL 99.430745 105.518652 \nL 104.161126 106.28961 \nL 108.751216 107.636011 \nL 113.121016 109.440739 \nL 117.214114 111.586218 \nL 120.995676 113.963447 \nL 124.449184 116.477702 \nL 127.572671 119.051162 \nL 130.375068 121.623137 \nL 132.87298 124.14867 \nL 135.088015 126.596267 \nL 138.76892 131.18377 \nL 141.623672 135.309597 \nL 143.850808 138.972063 \nL 146.393294 143.669852 \nL 149.61714 149.721048 \nL 150.843432 151.617281 \nL 152.146531 153.245055 \nL 153.587788 154.611822 \nL 155.22338 155.714931 \nL 157.107155 156.54115 \nL 159.292541 157.06586 \nL 161.833325 157.251945 \nL 164.78294 157.048505 \nL 168.191687 156.389759 \nL 172.100988 155.194887 \nL 174.251519 154.367486 \nL 176.53341 153.370195 \nL 178.94395 152.190398 \nL 181.476889 150.81594 \nL 184.121525 149.235849 \nL 186.861676 147.441304 \nL 189.674549 145.426881 \nL 192.529569 143.192077 \nL 195.387228 140.74316 \nL 198.198101 138.09525 \nL 200.902182 135.274535 \nL 203.428792 132.320453 \nL 205.69731 129.287492 \nL 207.619049 126.246184 \nL 209.100557 123.282768 \nL 210.048525 120.496917 \nL 210.376303 117.997077 \nL 210.011697 115.893145 \nL 208.905325 114.286741 \nL 207.038411 113.260063 \nL 204.428565 112.864918 \nL 201.132121 113.114185 \nL 197.241999 113.97782 \nL 192.880885 115.384923 \nL 188.190581 117.231987 \nL 183.319293 119.395881 \nL 173.585605 124.172602 \nL 160.529179 131.011579 \nL 147.771569 137.926273 \nL 143.307895 140.562682 \nL 139.853034 142.87537 \nL 137.178872 145.002116 \nL 135.076384 147.032224 \nL 133.366293 149.013328 \nL 131.219896 151.928346 \nL 127.862835 156.595679 \nL 126.360033 158.356569 \nL 124.667803 160.030929 \nL 122.727899 161.597438 \nL 120.483922 163.029144 \nL 117.880353 164.289948 \nL 114.863277 165.32994 \nL 111.383465 166.079449 \nL 109.457415 166.316375 \nL 107.402781 166.44198 \nL 105.218357 166.438763 \nL 102.905369 166.286639 \nL 100.4682 165.96282 \nL 97.915251 165.441811 \nL 95.259934 164.695577 \nL 92.521779 163.693979 \nL 89.727611 162.40556 \nL 86.912724 160.798789 \nL 84.121941 158.843897 \nL 81.410392 156.515366 \nL 78.843746 153.795162 \nL 76.497702 150.676623 \nL 74.456333 147.16888 \nL 72.809107 143.301365 \nL 71.646307 139.127827 \nL 71.052944 134.729 \nL 71.101478 130.212943 \nL 71.844013 125.712116 \nL 73.30507 121.376631 \nL 75.47623 117.363738 \nL 78.313855 113.824471 \nL 81.74071 110.889349 \nL 85.651623 108.655471 \nL 89.922393 107.177477 \nL 94.420522 106.464017 \nL 99.015977 106.480216 \nL 103.590328 107.15533 \nL 108.043208 108.39368 \nL 112.295693 110.086658 \nL 116.290882 112.123721 \nL 119.992357 114.401042 \nL 123.381362 116.827205 \nL 126.453407 119.326076 \nL 129.214876 121.837371 \nL 131.679966 124.315649 \nL 133.868114 126.728395 \nL 135.801946 129.053732 \nL 139.004061 133.394473 \nL 141.480954 137.295563 \nL 143.413864 140.76837 \nL 145.631705 145.251356 \nL 148.493958 151.106097 \nL 149.602989 152.970555 \nL 150.791502 154.589911 \nL 152.114884 155.970723 \nL 153.624954 157.1105 \nL 155.372693 157.997155 \nL 157.410222 158.608123 \nL 159.791883 158.909065 \nL 162.574167 158.852205 \nL 165.813969 158.374542 \nL 169.564386 157.396428 \nL 173.866807 155.821595 \nL 176.231622 154.776494 \nL 178.737617 153.540528 \nL 181.379553 152.099551 \nL 184.147552 150.440411 \nL 187.025947 148.551962 \nL 189.991989 146.426402 \nL 193.014472 144.060973 \nL 196.052346 141.460029 \nL 199.053472 138.637432 \nL 201.953682 135.619194 \nL 204.676448 132.446112 \nL 207.133441 129.176115 \nL 209.226396 125.885733 \nL 210.850643 122.670103 \nL 211.900552 119.640741 \nL 212.277003 116.920411 \nL 211.896498 114.634727 \nL 210.701141 112.900663 \nL 208.668072 111.813108 \nL 205.816602 111.431456 \nL 202.211158 111.769063 \nL 197.958738 112.78829 \nL 193.200551 114.403263 \nL 188.09897 116.490283 \nL 182.822123 118.904133 \nL 172.357396 124.132982 \nL 145.21838 138.359287 \nL 140.608855 140.931397 \nL 137.040836 143.159709 \nL 134.261226 145.197669 \nL 132.043883 147.140192 \nL 130.197849 149.034848 \nL 123.804971 156.200713 \nL 121.97301 157.806863 \nL 119.905204 159.286642 \nL 117.545049 160.603859 \nL 114.841973 161.712377 \nL 111.752773 162.55178 \nL 110.052853 162.846528 \nL 108.245811 163.042263 \nL 106.330782 163.125111 \nL 104.308843 163.079375 \nL 102.183528 162.887471 \nL 99.961427 162.529929 \nL 97.652871 161.985548 \nL 95.272689 161.231679 \nL 92.841014 160.244781 \nL 90.384086 159.001248 \nL 87.93499 157.478592 \nL 85.534216 155.657063 \nL 83.229917 153.521705 \nL 81.077715 151.064865 \nL 79.139844 148.289047 \nL 77.483491 145.209927 \nL 76.178146 141.859218 \nL 75.291991 138.286935 \nL 74.887342 134.562507 \nL 75.015513 130.774159 \nL 75.711579 127.026067 \nL 76.989741 123.433094 \nL 78.840079 120.11329 \nL 81.227387 117.178846 \nL 84.092514 114.726664 \nL 87.356221 112.829994 \nL 90.925114 111.532499 \nL 94.698748 110.845742 \nL 98.576902 110.750377 \nL 102.466024 111.20066 \nL 106.284093 112.13119 \nL 109.963631 113.464691 \nL 113.452848 115.119525 \nL 116.715275 117.015998 \nL 119.728317 119.081031 \nL 122.481209 121.250965 \nL 124.972734 123.472834 \nL 127.209005 125.704382 \nL 129.20146 127.913246 \nL 130.965167 130.075702 \nL 132.517425 132.175219 \nL 135.061723 136.146889 \nL 136.982314 139.789483 \nL 138.416771 143.105101 \nL 139.484358 146.115839 \nL 140.608368 150.125985 \nL 141.587192 154.685139 \nL 143.052229 161.7824 \nL 143.703299 163.894666 \nL 144.514135 165.742388 \nL 145.177627 166.828618 \nL 145.967101 167.794958 \nL 146.910632 168.634569 \nL 148.041472 169.336376 \nL 149.399271 169.883984 \nL 151.03136 170.254155 \nL 152.994029 170.414699 \nL 155.353644 170.321641 \nL 158.187306 169.915513 \nL 161.582455 169.116679 \nL 165.634397 167.819875 \nL 170.439984 165.888593 \nL 173.153086 164.632769 \nL 176.084614 163.151168 \nL 179.239535 161.417104 \nL 182.618229 159.402554 \nL 186.214716 157.079137 \nL 190.014459 154.419612 \nL 193.991738 151.40011 \nL 198.106594 148.003238 \nL 202.301451 144.222243 \nL 206.497645 140.066319 \nL 210.592208 135.567004 \nL 214.455558 130.785318 \nL 217.930988 125.81893 \nL 220.837082 120.80793 \nL 222.974446 115.937242 \nL 224.137932 111.432957 \nL 224.135084 107.549844 \nL 222.810132 104.547991 \nL 220.070836 102.659 \nL 215.913125 102.045858 \nL 210.436615 102.765376 \nL 203.844274 104.744791 \nL 196.42293 107.783175 \nL 188.507111 111.581049 \nL 180.43485 115.791739 \nL 157.952333 127.860613 \nL 151.574368 131.058372 \nL 145.85556 133.731523 \nL 140.783925 135.905812 \nL 136.320762 137.638803 \nL 132.412842 139.001773 \nL 126.025546 140.901092 \nL 121.160759 142.089328 \nL 110.108358 144.40279 \nL 106.7556 144.969235 \nL 104.520662 145.083157 \nL 103.10037 144.965842 \nL 101.730887 144.670382 \nL 100.426923 144.183662 \nL 99.216548 143.501349 \nL 98.137888 142.630098 \nL 97.23529 141.589556 \nL 96.554736 140.413672 \nL 96.13859 139.150819 \nL 96.019983 137.862147 \nL 96.217539 136.617836 \nL 96.73131 135.491346 \nL 97.540766 134.552296 \nL 98.6054 133.859187 \nL 99.868001 133.453316 \nL 101.259991 133.35509 \nL 102.707847 133.563375 \nL 104.139392 134.057723 \nL 105.488984 134.80265 \nL 106.701022 135.752879 \nL 107.731612 136.858432 \nL 108.548666 138.068799 \nL 109.130877 139.335835 \nL 109.466075 140.615356 \nL 109.549425 141.867619 \nL 109.381808 143.057038 \nL 108.968599 144.151405 \nL 108.318979 145.120917 \nL 107.445826 145.937192 \nL 106.366176 146.572502 \nL 105.102209 146.99938 \nL 103.682652 147.190751 \nL 102.144443 147.120805 \nL 100.534372 146.766785 \nL 98.910339 146.111846 \nL 97.341688 145.148991 \nL 95.908012 143.885917 \nL 94.695809 142.350109 \nL 93.792533 140.593206 \nL 93.278139 138.693093 \nL 93.187215 137.720514 \nL 93.214913 136.752135 \nL 93.364581 135.803459 \nL 93.637298 134.890391 \nL 94.031721 134.028755 \nL 94.544026 133.233803 \nL 95.167941 132.519698 \nL 95.894891 131.899039 \nL 96.714235 131.382438 \nL 97.613579 130.978191 \nL 98.579176 130.692056 \nL 99.596344 130.527149 \nL 100.649904 130.483968 \nL 101.724626 130.560529 \nL 103.878664 131.054035 \nL 105.949201 131.952769 \nL 107.845397 133.182678 \nL 109.498388 134.661943 \nL 110.861089 136.310141 \nL 111.905422 138.054177 \nL 112.618262 139.831091 \nL 112.997132 141.588407 \nL 113.046384 143.282865 \nL 112.774227 144.878324 \nL 112.190771 146.343323 \nL 111.307115 147.648686 \nL 110.135426 148.765297 \nL 108.689992 149.662271 \nL 106.989172 150.305567 \nL 105.058201 150.657293 \nL 102.93277 150.675999 \nL 100.663124 150.318384 \nL 98.318225 149.542972 \nL 97.145101 148.987595 \nL 95.98918 148.316299 \nL 94.865549 147.527633 \nL 93.790664 146.621908 \nL 92.782174 145.601611 \nL 91.858625 144.4718 \nL 91.039071 143.240462 \nL 90.342563 141.918822 \nL 89.787542 140.521544 \nL 89.391141 139.06678 \nL 89.168429 137.576029 \nL 89.13164 136.073789 \nL 89.289442 134.586961 \nL 89.646306 133.144033 \nL 90.202025 131.774062 \nL 90.951465 130.505511 \nL 91.884537 129.36503 \nL 92.986477 128.376262 \nL 94.238351 127.558806 \nL 95.6178 126.927377 \nL 97.099964 126.491318 \nL 98.658472 126.25439 \nL 100.266479 126.214958 \nL 101.897624 126.366453 \nL 103.526867 126.698062 \nL 105.131185 127.195615 \nL 106.690045 127.842521 \nL 108.185725 128.620688 \nL 109.603423 129.511391 \nL 110.931249 130.496007 \nL 112.160068 131.556604 \nL 114.296491 133.839939 \nL 115.9847 136.244822 \nL 117.222138 138.680097 \nL 118.021935 141.07841 \nL 118.404849 143.391883 \nL 118.393286 145.586877 \nL 118.007365 147.63897 \nL 117.262738 149.52848 \nL 116.169858 151.236647 \nL 114.734455 152.742315 \nL 112.959107 154.01898 \nL 110.845909 155.032112 \nL 108.400396 155.736748 \nL 105.63694 156.075637 \nL 104.144596 156.086456 \nL 102.58583 155.978497 \nL 100.96837 155.741158 \nL 99.30212 155.363379 \nL 97.599505 154.833923 \nL 95.875776 154.141756 \nL 94.149308 153.276556 \nL 92.441797 152.229362 \nL 90.778362 150.993363 \nL 89.187488 149.564835 \nL 87.700746 147.944165 \nL 86.352258 146.136968 \nL 85.177859 144.155157 \nL 84.213923 142.017916 \nL 83.495853 139.752391 \nL 83.056303 137.39396 \nL 82.923213 134.985951 \nL 83.117784 132.578649 \nL 83.652631 130.227541 \nL 84.530288 127.990855 \nL 85.742304 125.926514 \nL 87.269064 124.088767 \nL 89.080453 122.524847 \nL 91.137328 121.272049 \nL 93.393636 120.355602 \nL 95.798996 119.787527 \nL 98.301435 119.566657 \nL 100.850004 119.679709 \nL 103.397037 120.103225 \nL 105.899891 120.806079 \nL 108.322085 121.75216 \nL 110.633863 122.903003 \nL 112.812245 124.220071 \nL 114.840679 125.666583 \nL 116.708418 127.208788 \nL 118.409737 128.816765 \nL 119.943075 130.464774 \nL 121.310198 132.131279 \nL 122.5154 133.798724 \nL 123.564794 135.453173 \nL 125.226146 138.682719 \nL 126.358726 141.763526 \nL 127.026654 144.668799 \nL 127.286302 147.39025 \nL 127.182399 149.929989 \nL 126.746443 152.294876 \nL 125.996541 154.492658 \nL 124.938028 156.529153 \nL 123.564499 158.406016 \nL 121.8591 160.118558 \nL 119.796095 161.653342 \nL 117.342973 162.985123 \nL 114.463502 164.072973 \nL 112.852662 164.507148 \nL 111.122469 164.855329 \nL 109.269897 165.105627 \nL 107.29312 165.244097 \nL 105.191992 165.254555 \nL 102.968621 165.118429 \nL 100.628051 164.814692 \nL 98.179069 164.319881 \nL 95.635102 163.608318 \nL 93.015217 162.652525 \nL 90.345182 161.424011 \nL 87.658481 159.894417 \nL 84.997232 158.037218 \nL 82.412829 155.829968 \nL 79.966111 153.257191 \nL 77.726816 150.313835 \nL 75.7721 147.009121 \nL 74.18384 143.370483 \nL 73.044607 139.447038 \nL 72.432335 135.31188 \nL 72.413938 131.062404 \nL 73.038481 126.817855 \nL 74.330803 122.713609 \nL 76.286644 118.892255 \nL 78.870331 115.492136 \nL 82.015774 112.63493 \nL 85.630911 110.414175 \nL 89.6051 108.886776 \nL 93.818308 108.069094 \nL 98.150613 107.938076 \nL 102.490619 108.43708 \nL 106.741725 109.484815 \nL 110.825828 110.985668 \nL 114.68451 112.839619 \nL 118.278244 114.950366 \nL 121.584243 117.231101 \nL 124.593646 119.607772 \nL 127.308518 122.020244 \nL 129.739042 124.421909 \nL 131.901071 126.778298 \nL 133.81412 129.065216 \nL 136.980551 133.37354 \nL 139.416641 137.287668 \nL 141.292356 140.806293 \nL 143.377002 145.402408 \nL 147.172528 154.475431 \nL 148.114707 156.163336 \nL 149.158911 157.647584 \nL 150.349142 158.930106 \nL 151.729272 160.005385 \nL 153.345228 160.859783 \nL 155.246685 161.470458 \nL 157.488185 161.803754 \nL 160.129455 161.813077 \nL 163.234497 161.436326 \nL 166.868698 160.593205 \nL 171.092752 159.183134 \nL 173.44108 158.228455 \nL 175.951621 157.085347 \nL 178.624516 155.73638 \nL 181.456079 154.163982 \nL 184.437618 152.351245 \nL 187.554036 150.283048 \nL 190.782251 147.947584 \nL 194.089441 145.338369 \nL 197.431232 142.456738 \nL 200.749957 139.314867 \nL 203.973227 135.939175 \nL 207.013146 132.373915 \nL 209.766608 128.68448 \nL 212.117203 124.959808 \nL 213.939256 121.312978 \nL 215.104484 117.878898 \nL 215.491429 114.808106 \nL 214.997319 112.2559 \nL 213.551309 110.367088 \nL 211.127155 109.257666 \nL 207.752702 108.996481 \nL 203.513528 109.591013 \nL 198.5487 110.981477 \nL 193.038487 113.046078 \nL 187.185809 115.617282 \nL 181.195206 118.505611 \nL 169.515962 124.515778 \nL 154.496178 132.309315 \nL 143.400497 137.77973 \nL 135.736804 141.54292 \nL 132.038505 143.543327 \nL 129.128222 145.35048 \nL 126.758438 147.062516 \nL 123.78392 149.535801 \nL 120.132225 152.639766 \nL 118.201631 154.053534 \nL 116.098845 155.326728 \nL 113.767625 156.414268 \nL 111.166307 157.262534 \nL 108.268928 157.806973 \nL 106.706267 157.941494 \nL 105.06901 157.96972 \nL 103.36049 157.879609 \nL 101.586259 157.658263 \nL 99.754451 157.292052 \nL 97.876165 156.766851 \nL 95.965881 156.068412 \nL 94.041826 155.182873 \nL 92.126313 154.097452 \nL 90.245966 152.801329 \nL 88.431779 151.286731 \nL 86.718952 149.550202 \nL 85.146403 147.594011 \nL 83.755927 145.42762 \nL 82.590892 143.069076 \nL 81.694498 140.546147 \nL 81.107614 137.897015 \nL 80.866272 135.170273 \nL 80.999028 132.42402 \nL 81.524409 129.723944 \nL 82.448773 127.140348 \nL 83.764869 124.744291 \nL 85.451377 122.603182 \nL 87.473562 120.776254 \nL 89.785054 119.310538 \nL 92.330589 118.237842 \nL 95.049374 117.573098 \nL 97.878706 117.314326 \nL 100.757408 117.444105 \nL 103.628765 117.932191 \nL 106.442708 118.738943 \nL 109.157193 119.818971 \nL 111.738763 121.124607 \nL 114.162452 122.608824 \nL 116.411192 124.227536 \nL 118.474895 125.941062 \nL 120.349365 127.714971 \nL 122.035176 129.520347 \nL 123.536595 131.333628 \nL 124.860604 133.136181 \nL 126.01605 134.913731 \nL 127.861834 138.354645 \nL 129.158185 141.605422 \nL 129.986191 144.647355 \nL 130.416301 147.480858 \nL 130.504788 150.11655 \nL 130.292695 152.569473 \nL 129.806166 154.855514 \nL 129.057429 156.989124 \nL 128.045969 158.98178 \nL 126.759643 160.840702 \nL 125.175671 162.567491 \nL 123.261554 164.156398 \nL 120.976137 165.591858 \nL 118.271189 166.84499 \nL 115.094116 167.868699 \nL 113.312017 168.273248 \nL 111.392744 168.591125 \nL 109.331192 168.808114 \nL 107.123595 168.907336 \nL 104.768112 168.868949 \nL 102.265568 168.66988 \nL 99.620342 168.28363 \nL 96.841446 167.680218 \nL 93.943763 166.826329 \nL 90.949455 165.685782 \nL 87.88949 164.220474 \nL 84.805168 162.391895 \nL 81.749524 160.163432 \nL 78.788369 157.503569 \nL 76.00064 154.390093 \nL 73.477704 150.815233 \nL 71.321154 146.791497 \nL 69.638722 142.35761 \nL 68.538065 137.583699 \nL 68.118518 132.574442 \nL 68.46133 127.468766 \nL 69.619523 122.434854 \nL 71.609005 117.659761 \nL 74.402751 113.334063 \nL 77.929732 109.633355 \nL 82.079367 106.699598 \nL 86.711181 104.625868 \nL 91.668058 103.447688 \nL 96.790702 103.142621 \nL 101.930727 103.637786 \nL 106.960488 104.823183 \nL 111.778716 106.56762 \nL 116.312073 108.734139 \nL 120.513546 111.192533 \nL 124.358822 113.827819 \nL 127.8418 116.544646 \nL 130.97007 119.268339 \nL 133.760866 121.943575 \nL 136.237722 124.531763 \nL 140.36026 129.357412 \nL 143.568532 133.654704 \nL 146.086296 137.42355 \nL 152.789117 148.085654 \nL 154.265919 149.854513 \nL 155.845848 151.313569 \nL 157.596225 152.466818 \nL 159.576914 153.306172 \nL 161.84262 153.811206 \nL 164.443709 153.948819 \nL 167.425187 153.673049 \nL 170.823284 152.925493 \nL 174.658882 151.637295 \nL 178.92687 149.734111 \nL 181.210564 148.529524 \nL 183.580494 147.146292 \nL 186.020872 145.579411 \nL 188.510453 143.827006 \nL 191.021724 141.891513 \nL 193.520164 139.781043 \nL 195.963661 137.510851 \nL 198.302235 135.10486 \nL 200.478205 132.597041 \nL 202.426983 130.032456 \nL 204.078694 127.467662 \nL 205.360774 124.970155 \nL 206.201606 122.616501 \nL 206.53517 120.488916 \nL 206.306471 118.670159 \nL 205.477224 117.237038 \nL 204.031134 116.25303 \nL 201.977893 115.761067 \nL 199.355011 115.777722 \nL 196.22687 116.290116 \nL 192.680807 117.25636 \nL 188.820584 118.609897 \nL 184.758184 120.267039 \nL 180.605213 122.136319 \nL 172.427563 126.161951 \nL 164.929175 130.114336 \nL 155.667711 135.288453 \nL 150.910934 138.178697 \nL 147.178136 140.722048 \nL 144.305946 143.03094 \nL 142.119883 145.19695 \nL 140.457479 147.280612 \nL 139.178136 149.314878 \nL 138.165375 151.313069 \nL 136.94559 154.244404 \nL 134.385494 160.68572 \nL 133.040916 163.238539 \nL 131.966927 164.865495 \nL 130.705488 166.43086 \nL 129.213416 167.931898 \nL 127.441849 169.362865 \nL 125.334862 170.712632 \nL 122.828539 171.961308 \nL 119.850853 173.075396 \nL 116.323044 174.000903 \nL 112.163669 174.653719 \nL 109.822963 174.840234 \nL 107.29731 174.906683 \nL 104.580899 174.827789 \nL 101.670955 174.573464 \nL 98.568992 174.108287 \nL 95.282357 173.391141 \nL 91.826132 172.375092 \nL 88.225357 171.007713 \nL 84.517561 169.232087 \nL 80.755462 166.98878 \nL 77.009616 164.21911 \nL 73.370621 160.870115 \nL 69.950305 156.901443 \nL 66.881117 152.294201 \nL 64.312845 147.061436 \nL 62.405758 141.259163 \nL 61.319614 134.996093 \nL 61.19862 128.439357 \nL 62.153639 121.813149 \nL 64.244161 115.387439 \nL 67.463826 109.455781 \nL 71.733418 104.303893 \nL 76.904349 100.174197 \nL 82.773152 97.233824 \nL 89.104437 95.553876 \nL 95.657396 95.105031 \nL 102.21016 95.769967 \nL 108.577451 97.368375 \nL 114.619587 99.687458 \nL 120.243327 102.510739 \nL 125.396903 105.640156 \nL 130.061966 108.909364 \nL 134.244843 112.188841 \nL 137.968614 115.384886 \nL 141.266704 118.434938 \nL 146.744028 123.965173 \nL 151.002909 128.669976 \nL 160.380341 139.515268 \nL 162.350219 141.358061 \nL 164.271305 142.757401 \nL 166.236584 143.74648 \nL 168.314403 144.343208 \nL 170.551606 144.553175 \nL 172.974852 144.372966 \nL 175.589963 143.794199 \nL 178.379416 142.808688 \nL 181.298246 141.415202 \nL 184.269081 139.628119 \nL 187.177649 137.487783 \nL 189.870964 135.07144 \nL 192.161188 132.502142 \nL 193.089874 131.211948 \nL 193.838626 129.951267 \nL 194.381854 128.747587 \nL 194.696302 127.62942 \nL 194.762355 126.625137 \nL 194.565343 125.761572 \nL 194.096743 125.062549 \nL 193.355159 124.547399 \nL 192.346945 124.229658 \nL 191.086393 124.116126 \nL 189.595392 124.206337 \nL 187.902585 124.492661 \nL 186.042066 124.960941 \nL 181.971426 126.361353 \nL 177.699182 128.215475 \nL 173.517784 130.323184 \nL 169.65771 132.518155 \nL 166.27178 134.687285 \nL 163.439406 136.768823 \nL 161.182331 138.738332 \nL 159.483771 140.592048 \nL 158.305733 142.33348 \nL 157.602331 143.965024 \nL 157.328857 145.48391 \nL 157.447264 146.880994 \nL 157.92902 148.140894 \nL 158.756111 149.242541 \nL 159.92083 150.159594 \nL 161.424746 150.860472 \nL 163.276958 151.308029 \nL 165.491629 151.459046 \nL 168.084542 151.263842 \nL 171.068228 150.666466 \nL 174.445117 149.606263 \nL 178.198015 148.021872 \nL 182.277401 145.859164 \nL 186.585472 143.084887 \nL 188.777098 141.468702 \nL 190.958285 139.707509 \nL 193.095531 137.813484 \nL 195.149592 135.80514 \nL 197.075625 133.708248 \nL 198.823772 131.556517 \nL 200.340256 129.391868 \nL 201.56914 127.264112 \nL 202.454722 125.229802 \nL 202.944627 123.350151 \nL 202.993408 121.687888 \nL 202.566411 120.303194 \nL 201.64352 119.248951 \nL 200.222275 118.565902 \nL 198.31982 118.278322 \nL 195.97327 118.390985 \nL 193.238187 118.888122 \nL 190.185256 119.734682 \nL 186.895475 120.879848 \nL 183.454513 122.262273 \nL 176.451554 125.47739 \nL 169.759122 128.900712 \nL 163.774722 132.197755 \nL 158.696111 135.210152 \nL 154.562018 137.914711 \nL 151.309918 140.360005 \nL 148.826457 142.615139 \nL 146.982435 144.74087 \nL 145.653483 146.779095 \nL 144.730425 148.752879 \nL 144.123144 150.67086 \nL 143.760762 152.532401 \nL 143.589942 154.331866 \nL 143.612835 156.897745 \nL 143.905728 159.280248 \nL 144.438862 161.455853 \nL 145.219665 163.403128 \nL 145.895663 164.563237 \nL 146.717048 165.603266 \nL 147.708597 166.512404 \nL 148.901638 167.276321 \nL 150.334781 167.875755 \nL 152.054792 168.284701 \nL 154.1175 168.468086 \nL 156.588494 168.378778 \nL 159.543221 167.953828 \nL 163.065811 167.10995 \nL 167.245442 165.738523 \nL 172.168341 163.701097 \nL 174.931095 162.380665 \nL 177.902441 160.827659 \nL 181.083602 159.016794 \nL 184.470402 156.922287 \nL 188.051401 154.519087 \nL 191.80566 151.784665 \nL 195.700143 148.701562 \nL 199.686805 145.260771 \nL 203.699536 141.466111 \nL 207.651275 137.339523 \nL 211.431695 132.92714 \nL 214.906195 128.30554 \nL 217.91711 123.587279 \nL 220.288188 118.924159 \nL 221.833452 114.506194 \nL 222.371214 110.553931 \nL 221.743148 107.302178 \nL 219.836934 104.974512 \nL 216.609057 103.750575 \nL 212.102529 103.73194 \nL 206.453743 104.915132 \nL 199.884035 107.18151 \nL 192.675513 110.310109 \nL 185.135764 114.012435 \nL 170.200221 121.932161 \nL 156.821532 128.985814 \nL 150.98991 131.874509 \nL 145.767435 134.304857 \nL 141.13663 136.308088 \nL 133.484225 139.259224 \nL 127.625556 141.215516 \nL 114.532831 145.362023 \nL 109.725866 147.010355 \nL 107.936907 147.458611 \nL 106.139448 147.733451 \nL 104.313093 147.796921 \nL 102.460049 147.612888 \nL 100.603512 147.149717 \nL 98.786399 146.383641 \nL 97.069686 145.303121 \nL 95.529483 143.914058 \nL 94.252018 142.245291 \nL 93.326006 140.353177 \nL 93.020724 139.349048 \nL 92.832428 138.323471 \nL 92.768081 137.291334 \nL 92.832678 136.268716 \nL 93.028947 135.272496 \nL 93.357098 134.319859 \nL 93.814686 133.42775 \nL 94.396574 132.612314 \nL 95.095003 131.888321 \nL 95.899788 131.268651 \nL 96.798622 130.763862 \nL 97.777455 130.381842 \nL 98.82095 130.12763 \nL 99.912965 130.003356 \nL 101.037048 130.00831 \nL 102.176901 130.13917 \nL 103.316804 130.39029 \nL 105.53879 131.221476 \nL 107.600222 132.425593 \nL 109.422028 133.915273 \nL 110.949399 135.603052 \nL 112.149134 137.408808 \nL 113.005244 139.26352 \nL 113.5141 141.110065 \nL 113.679978 142.902053 \nL 113.511515 144.601579 \nL 113.019242 146.176543 \nL 112.214256 147.597971 \nL 111.107971 148.837512 \nL 109.712883 149.865267 \nL 108.044314 150.648061 \nL 106.123104 151.148268 \nL 103.979182 151.323515 \nL 101.655888 151.127651 \nL 99.214738 150.513543 \nL 97.975282 150.035897 \nL 96.739895 149.438392 \nL 95.523145 148.717734 \nL 94.341249 147.872132 \nL 93.211966 146.901722 \nL 92.154387 145.809038 \nL 91.188626 144.599446 \nL 90.33537 143.281579 \nL 89.615309 141.867687 \nL 89.04844 140.373854 \nL 88.653281 138.82006 \nL 88.446005 137.230012 \nL 88.439582 135.630734 \nL 88.642949 134.051869 \nL 89.060307 132.524725 \nL 89.690615 131.081089 \nL 90.527336 129.751885 \nL 91.55847 128.565785 \nL 92.766911 127.547874 \nL 94.131094 126.71849 \nL 95.625878 126.092354 \nL 97.223631 125.678077 \nL 98.895378 125.478065 \nL 100.61195 125.48878 \nL 102.345045 125.701388 \nL 104.068126 126.102626 \nL 105.757119 126.675841 \nL 107.390891 127.40207 \nL 108.951517 128.261082 \nL 110.424345 129.232307 \nL 111.797904 130.295622 \nL 113.063687 131.431936 \nL 114.215856 132.623627 \nL 116.167215 135.11131 \nL 117.644972 137.653338 \nL 118.662 140.172127 \nL 119.241427 142.613376 \nL 119.409369 144.940249 \nL 119.189985 147.127624 \nL 118.602562 149.157059 \nL 117.66021 151.01253 \nL 116.369869 152.676824 \nL 114.733401 154.128366 \nL 112.749723 155.33832 \nL 110.4181 156.267826 \nL 107.742819 156.865515 \nL 106.280545 157.019956 \nL 104.739555 157.065578 \nL 103.124965 156.99181 \nL 101.443761 156.787235 \nL 99.705169 156.439763 \nL 97.921044 155.936876 \nL 96.106239 155.265994 \nL 94.278963 154.414978 \nL 92.461082 153.372786 \nL 90.678292 152.130301 \nL 88.960172 150.681332 \nL 87.339983 149.023763 \nL 85.854209 147.160806 \nL 84.541754 145.102301 \nL 83.442746 142.865919 \nL 82.59696 140.478133 \nL 82.041869 137.974766 \nL 81.810414 135.400926 \nL 81.928677 132.810163 \nL 82.413626 130.262734 \nL 83.271241 127.822969 \nL 84.495237 125.555868 \nL 86.066638 123.523248 \nL 87.954315 121.779756 \nL 90.11651 120.369321 \nL 92.503178 119.322413 \nL 95.058939 118.654508 \nL 97.72624 118.365889 \nL 100.44845 118.442771 \nL 103.172521 118.859499 \nL 105.851056 119.581436 \nL 108.443662 120.56815 \nL 110.917596 121.776503 \nL 113.247827 123.163334 \nL 115.416602 124.687613 \nL 117.412708 126.311899 \nL 119.230545 128.003242 \nL 120.869133 129.733551 \nL 122.331139 131.479574 \nL 123.621977 133.22259 \nL 124.749003 134.947961 \nL 126.546799 138.304344 \nL 127.799233 141.492549 \nL 128.579831 144.488452 \nL 128.953166 147.287522 \nL 128.970929 149.896043 \nL 128.670481 152.325248 \nL 128.074857 154.587477 \nL 127.193524 156.693601 \nL 126.023435 158.651114 \nL 124.550166 160.462443 \nL 122.749094 162.12309 \nL 120.586747 163.619292 \nL 118.022625 164.92484 \nL 115.012022 165.99678 \nL 113.325257 166.425783 \nL 111.510665 166.76976 \nL 109.564031 167.015886 \nL 107.482356 167.149006 \nL 105.264385 167.151394 \nL 102.91124 167.002533 \nL 100.427198 166.678975 \nL 97.820609 166.154317 \nL 95.10495 165.399351 \nL 92.300012 164.382483 \nL 89.433173 163.070522 \nL 86.540682 161.429982 \nL 83.66883 159.428951 \nL 80.874832 157.039744 \nL 78.227172 154.24232 \nL 75.80511 151.028461 \nL 73.697017 147.406533 \nL 71.997228 143.40641 \nL 70.801183 139.083901 \nL 70.198889 134.523729 \nL 70.267054 129.840004 \nL 71.060624 125.173133 \nL 72.60496 120.682477 \nL 74.890059 116.534885 \nL 77.868176 112.890132 \nL 81.455778 109.88532 \nL 85.539878 107.620966 \nL 89.987921 106.151427 \nL 94.659505 105.481516 \nL 99.417983 105.569704 \nL 104.140137 106.336915 \nL 108.722797 107.678733 \nL 113.086062 109.478464 \nL 117.173539 111.618917 \nL 120.950347 113.991372 \nL 124.399885 116.501304 \nL 127.520076 119.071017 \nL 130.319742 121.639871 \nL 132.815374 124.16291 \nL 135.028476 126.608603 \nL 138.70619 131.193871 \nL 141.558163 135.319185 \nL 143.782473 138.982445 \nL 146.319919 143.683268 \nL 149.531373 149.74336 \nL 150.750817 151.644485 \nL 152.045765 153.278064 \nL 153.47743 154.651712 \nL 155.101861 155.763021 \nL 156.972807 156.599057 \nL 159.143652 157.13556 \nL 161.668236 157.335833 \nL 164.600223 157.14943 \nL 167.990425 156.511003 \nL 171.881218 155.34005 \nL 176.296775 153.542875 \nL 178.700242 152.378028 \nL 181.227548 151.019107 \nL 183.868496 149.454886 \nL 186.607491 147.676179 \nL 189.422415 145.677059 \nL 192.283447 143.456381 \nL 195.151889 141.019595 \nL 197.979153 138.380825 \nL 200.706044 135.565114 \nL 203.262582 132.610631 \nL 205.568654 129.570551 \nL 207.535747 126.514171 \nL 209.07013 123.52673 \nL 210.077623 120.707375 \nL 210.470027 118.164679 \nL 210.172868 116.009538 \nL 209.133829 114.345574 \nL 207.330737 113.257924 \nL 204.777657 112.802095 \nL 201.527643 112.994952 \nL 197.671033 113.810201 \nL 193.328982 115.179861 \nL 188.643004 117.002064 \nL 183.762237 119.153844 \nL 173.976477 123.938726 \nL 160.798824 130.832535 \nL 147.883877 137.813117 \nL 143.359159 140.466539 \nL 139.855919 142.787528 \nL 137.144342 144.916928 \nL 135.013229 146.94659 \nL 133.28117 148.925894 \nL 131.110292 151.837671 \nL 127.723721 156.499939 \nL 126.210394 158.258438 \nL 124.507545 159.92965 \nL 122.556672 161.49176 \nL 120.301332 162.917226 \nL 117.686205 164.169268 \nL 114.657881 165.197155 \nL 111.168043 165.9303 \nL 109.237869 166.15714 \nL 107.180017 166.271231 \nL 104.993576 166.254962 \nL 102.680125 166.088166 \nL 100.244458 165.748017 \nL 97.695449 165.209032 \nL 95.04704 164.443273 \nL 92.319343 163.420828 \nL 89.539793 162.110603 \nL 86.744299 160.481637 \nL 83.978259 158.504955 \nL 81.297261 156.156102 \nL 78.767266 153.41839 \nL 76.463966 150.286784 \nL 74.471054 146.772256 \nL 72.877122 142.906178 \nL 71.771029 138.744178 \nL 71.235781 134.368547 \nL 71.341305 129.888297 \nL 72.136806 125.435955 \nL 73.6438 121.160582 \nL 75.851078 117.217181 \nL 78.712778 113.753452 \nL 82.150312 110.895813 \nL 86.058193 108.736994 \nL 90.312972 107.327549 \nL 94.783803 106.672847 \nL 99.342929 106.735905 \nL 103.874491 107.445145 \nL 108.280668 108.705262 \nL 112.484812 110.40893 \nL 116.431885 112.447483 \nL 120.086879 114.719196 \nL 123.431988 117.13473 \nL 126.463295 119.619795 \nL 129.187448 122.115631 \nL 131.61868 124.57798 \nL 133.776307 126.975176 \nL 135.682722 129.28592 \nL 138.838121 133.601612 \nL 141.276906 137.483939 \nL 143.177683 140.944156 \nL 145.353352 145.418597 \nL 148.145488 151.282546 \nL 149.222109 153.158325 \nL 150.37387 154.793619 \nL 151.655101 156.195517 \nL 153.116666 157.362333 \nL 154.808711 158.283109 \nL 156.782707 158.936733 \nL 159.092675 159.290664 \nL 161.795354 159.299242 \nL 164.948849 158.90176 \nL 168.609021 158.020761 \nL 172.822447 156.561446 \nL 175.145803 155.581011 \nL 177.614307 154.413942 \nL 180.224617 153.045461 \nL 182.969163 151.461379 \nL 185.835022 149.649003 \nL 188.802658 147.598364 \nL 191.844507 145.303776 \nL 194.923554 142.765812 \nL 197.991919 139.993634 \nL 200.989712 137.007637 \nL 203.844326 133.842251 \nL 206.470531 130.548587 \nL 208.771728 127.196469 \nL 210.642745 123.875271 \nL 211.974579 120.692743 \nL 212.661205 117.77114 \nL 212.608385 115.239996 \nL 211.743795 113.225452 \nL 210.027345 111.836919 \nL 207.459889 111.15267 \nL 204.088387 111.20716 \nL 200.00577 111.983025 \nL 195.344671 113.410486 \nL 190.265554 115.375124 \nL 184.94124 117.732863 \nL 179.540765 120.328963 \nL 169.089513 125.672662 \nL 140.825822 140.516032 \nL 137.034874 142.777056 \nL 134.086144 144.819068 \nL 131.742617 146.750139 \nL 129.803154 148.626465 \nL 126.506988 152.273526 \nL 124.079217 154.879301 \nL 122.31369 156.515156 \nL 120.348449 158.037131 \nL 118.123493 159.410848 \nL 115.586098 160.593693 \nL 112.69119 161.531123 \nL 109.404202 162.152111 \nL 107.60716 162.316034 \nL 105.707126 162.364291 \nL 103.706089 162.281311 \nL 101.608587 162.049787 \nL 99.422296 161.650741 \nL 97.158683 161.063716 \nL 94.833725 160.267139 \nL 92.468638 159.238925 \nL 90.090599 157.957369 \nL 87.73336 156.402375 \nL 85.437663 154.557086 \nL 83.251335 152.409926 \nL 81.228904 149.956988 \nL 79.430555 147.204721 \nL 77.920335 144.172636 \nL 76.763435 140.895773 \nL 76.02261 137.426463 \nL 75.753835 133.834898 \nL 76.001544 130.208001 \nL 76.793949 126.646236 \nL 78.139095 123.258264 \nL 80.022318 120.153708 \nL 82.405688 117.4348 \nL 85.229744 115.187935 \nL 88.417422 113.476495 \nL 91.879698 112.336046 \nL 95.522137 111.772679 \nL 99.251426 111.764612 \nL 102.981049 112.266652 \nL 106.635505 113.216455 \nL 110.152853 114.541585 \nL 113.485612 116.166171 \nL 116.600355 118.016498 \nL 119.476362 120.025059 \nL 122.103748 122.133014 \nL 124.481401 124.291283 \nL 126.61497 126.460535 \nL 128.515044 128.610472 \nL 130.19559 130.718699 \nL 131.672681 132.769446 \nL 134.085482 136.660968 \nL 135.89132 140.245935 \nL 137.21848 143.524128 \nL 138.177994 146.51493 \nL 138.8613 149.245833 \nL 139.522408 152.918635 \nL 139.981867 157.163686 \nL 140.207636 161.656604 \nL 140.24438 167.472991 \nL 140.065834 172.56741 \nL 139.734592 175.758701 \nL 139.309332 177.733233 \nL 138.778599 179.17901 \nL 138.214341 180.208933 \nL 137.449585 181.21119 \nL 136.410873 182.204631 \nL 134.997319 183.209029 \nL 133.070532 184.242579 \nL 130.441367 185.315541 \nL 128.175087 186.048458 \nL 125.388149 186.779882 \nL 121.965346 187.478199 \nL 117.771903 188.083667 \nL 112.656155 188.490987 \nL 109.702559 188.568726 \nL 106.459287 188.522968 \nL 102.909202 188.314122 \nL 99.038928 187.892698 \nL 94.841207 187.197547 \nL 90.318089 186.154144 \nL 85.485102 184.673205 \nL 80.376571 182.65007 \nL 75.052098 179.965594 \nL 69.604077 176.489487 \nL 64.165639 172.087504 \nL 58.917941 166.633971 \nL 54.09472 160.031145 \nL 49.981223 152.236027 \nL 46.90371 143.293443 \nL 45.205758 133.370837 \nL 45.209535 122.785845 \nL 47.164171 112.013598 \nL 51.190076 101.660135 \nL 57.234344 92.394195 \nL 65.054705 84.843767 \nL 74.243805 79.481334 \nL 84.29165 76.533267 \nL 94.668859 75.945026 \nL 104.90491 77.413293 \nL 114.639988 80.47015 \nL 123.642169 84.586834 \nL 131.795619 89.264518 \nL 139.072873 94.092589 \nL 145.503869 98.771548 \nL 156.084347 107.000944 \nL 167.344403 115.813825 \nL 172.504551 119.607997 \nL 179.591165 124.620104 \nL 180.653091 125.703531 \nL 180.883349 126.169081 \nL 180.936201 126.611317 \nL 180.828678 127.045977 \nL 180.200943 127.938048 \nL 179.138159 128.905904 \nL 171.810309 134.82609 \nL 170.15779 136.629438 \nL 169.376561 137.754949 \nL 168.876385 138.796112 \nL 168.665822 139.73535 \nL 168.745866 140.55553 \nL 169.112486 141.239056 \nL 169.758296 141.767355 \nL 170.673313 142.120851 \nL 171.844809 142.279326 \nL 173.256353 142.222723 \nL 174.886066 141.932493 \nL 176.704234 141.393532 \nL 178.670429 140.596891 \nL 180.730472 139.543266 \nL 182.813727 138.247219 \nL 184.831514 136.741698 \nL 186.677662 135.082079 \nL 188.232466 133.348358 \nL 189.371021 131.643797 \nL 189.976324 130.088331 \nL 190.048714 129.405544 \nL 189.956124 128.805903 \nL 189.693808 128.302624 \nL 189.260625 127.90686 \nL 188.659309 127.62716 \nL 187.896576 127.469039 \nL 186.983026 127.434728 \nL 184.763428 127.729787 \nL 182.147808 128.466656 \nL 179.311144 129.561929 \nL 176.4315 130.913825 \nL 173.668419 132.421656 \nL 171.148883 133.999749 \nL 168.962073 135.583477 \nL 167.161443 137.128481 \nL 165.771257 138.605857 \nL 164.794815 139.996207 \nL 164.222406 141.28435 \nL 164.037862 142.455544 \nL 164.223347 143.493162 \nL 164.762411 144.377539 \nL 165.641483 145.085519 \nL 166.850059 145.590437 \nL 168.379744 145.862411 \nL 170.222233 145.868919 \nL 172.366219 145.575902 \nL 174.793162 144.949682 \nL 177.471869 143.960138 \nL 180.351947 142.585695 \nL 183.356533 140.820542 \nL 186.375249 138.684152 \nL 189.259183 136.232472 \nL 191.820779 133.568669 \nL 192.913361 132.204111 \nL 193.842263 130.849467 \nL 194.578894 129.532092 \nL 195.09607 128.281385 \nL 195.369344 127.127725 \nL 195.378439 126.10114 \nL 195.108664 125.229748 \nL 194.552206 124.5381 \nL 193.709129 124.045567 \nL 192.587987 123.764965 \nL 191.205898 123.701577 \nL 189.588051 123.852727 \nL 187.766644 124.208055 \nL 185.779331 124.750333 \nL 181.473421 126.301564 \nL 177.006562 128.29327 \nL 172.681345 130.51281 \nL 168.728198 132.790984 \nL 165.292729 135.018813 \nL 162.443725 137.141804 \nL 160.191924 139.142754 \nL 158.510949 141.023497 \nL 157.355346 142.791167 \nL 156.673941 144.450182 \nL 156.418611 145.99875 \nL 156.549395 147.428172 \nL 157.036979 148.723322 \nL 157.863435 149.863404 \nL 159.021851 150.822414 \nL 160.515222 151.569135 \nL 162.354763 152.06673 \nL 164.557575 152.272021 \nL 167.143425 152.134819 \nL 170.130172 151.597719 \nL 173.527209 150.597075 \nL 177.326195 149.066271 \nL 181.488308 146.94282 \nL 183.681075 145.643476 \nL 185.927721 144.181258 \nL 188.206969 142.556533 \nL 190.492127 140.773784 \nL 192.750579 138.842721 \nL 194.943447 136.779426 \nL 197.025546 134.607461 \nL 198.945739 132.358823 \nL 200.647834 130.074531 \nL 202.072149 127.804645 \nL 203.15783 125.607484 \nL 203.845952 123.547805 \nL 204.08331 121.693803 \nL 203.826692 120.112979 \nL 203.047214 118.866999 \nL 201.73422 118.006165 \nL 199.898085 117.564111 \nL 197.571382 117.553675 \nL 194.807967 117.964806 \nL 191.679907 118.765042 \nL 188.272532 119.902712 \nL 184.678251 121.312425 \nL 180.99002 122.921888 \nL 173.671622 126.457621 \nL 166.878702 130.031317 \nL 160.950388 133.355667 \nL 156.018338 136.330595 \nL 152.065914 138.978412 \nL 148.99192 141.373615 \nL 146.659474 143.595379 \nL 144.926891 145.705279 \nL 143.66429 147.74216 \nL 142.760826 149.72546 \nL 142.126369 151.661124 \nL 141.5292 154.470002 \nL 141.211848 157.147568 \nL 141.045253 160.479815 \nL 141.069818 164.225819 \nL 141.318239 168.09548 \nL 141.712334 170.818454 \nL 142.200183 172.681322 \nL 142.710269 173.895249 \nL 143.390803 174.946502 \nL 144.300926 175.822294 \nL 145.073912 176.297611 \nL 146.014748 176.674054 \nL 147.160874 176.936671 \nL 148.557981 177.064834 \nL 150.261605 177.030235 \nL 152.338837 176.794138 \nL 154.869957 176.303637 \nL 157.949628 175.48664 \nL 161.686893 174.245387 \nL 166.202589 172.448544 \nL 171.621733 169.922648 \nL 174.706461 168.318803 \nL 178.056728 166.445359 \nL 181.679306 164.266995 \nL 185.574828 161.746373 \nL 189.735233 158.845528 \nL 194.140558 155.528107 \nL 198.755041 151.762751 \nL 203.522558 147.527922 \nL 208.361562 142.818458 \nL 213.159887 137.654019 \nL 217.770142 132.089267 \nL 222.006789 126.225098 \nL 225.646575 120.219351 \nL 228.434437 114.294263 \nL 230.097219 108.736568 \nL 230.367147 103.885197 \nL 229.015326 100.10189 \nL 225.892362 97.722917 \nL 220.968767 96.996606 \nL 214.363455 98.020003 \nL 206.347708 100.695713 \nL 197.31682 104.729636 \nL 187.732829 109.678542 \nL 159.871722 125.183457 \nL 151.828973 129.374499 \nL 144.617833 132.803562 \nL 138.240343 135.476914 \nL 132.652567 137.465714 \nL 127.786566 138.87217 \nL 123.565686 139.80529 \nL 119.913859 140.3665 \nL 116.760525 140.642927 \nL 114.042718 140.705694 \nL 111.705538 140.610944 \nL 107.991063 140.112342 \nL 105.316679 139.385833 \nL 103.46391 138.573486 \nL 102.270995 137.765821 \nL 101.613267 137.026543 \nL 101.389063 136.403916 \nL 101.510378 135.934771 \nL 101.89734 135.645039 \nL 102.475647 135.549276 \nL 103.176007 135.650442 \nL 103.934772 135.940539 \nL 104.695029 136.402126 \nL 105.732924 137.360507 \nL 106.535006 138.545988 \nL 106.893415 139.407732 \nL 107.090316 140.288563 \nL 107.115815 141.157401 \nL 106.965927 141.985019 \nL 106.641903 142.744163 \nL 106.149791 143.409428 \nL 105.500249 143.957169 \nL 104.708627 144.365459 \nL 103.795271 144.614252 \nL 102.785945 144.6859 \nL 101.71226 144.566031 \nL 100.611911 144.244892 \nL 99.528499 143.719097 \nL 98.510709 142.993686 \nL 97.610575 142.084263 \nL 96.880731 141.018772 \nL 96.370615 139.838427 \nL 96.121912 138.597205 \nL 96.163776 137.359491 \nL 96.508594 136.195692 \nL 97.149167 135.176149 \nL 98.058067 134.364227 \nL 99.189498 133.809785 \nL 100.483439 133.544331 \nL 101.871335 133.578745 \nL 103.282342 133.903854 \nL 104.648996 134.493491 \nL 105.911565 135.309018 \nL 107.020704 136.304366 \nL 107.93845 137.430557 \nL 108.637868 138.639236 \nL 109.10183 139.884911 \nL 109.321392 141.126076 \nL 109.294146 142.325373 \nL 109.022827 143.449123 \nL 108.514377 144.46654 \nL 107.77952 145.348778 \nL 106.832901 146.068125 \nL 105.693747 146.597432 \nL 104.386993 146.909967 \nL 102.944728 146.979918 \nL 101.407761 146.783619 \nL 99.827019 146.301781 \nL 98.264312 145.522717 \nL 96.791946 144.446542 \nL 95.490593 143.089928 \nL 94.444883 141.490699 \nL 93.736537 139.711008 \nL 93.435439 137.837659 \nL 93.453771 136.898863 \nL 93.589771 135.97818 \nL 93.844616 135.090842 \nL 94.217175 134.25204 \nL 94.703964 133.476441 \nL 95.299157 132.777725 \nL 95.99472 132.168112 \nL 96.780619 131.65798 \nL 97.645128 131.25553 \nL 98.575169 130.966573 \nL 99.556731 130.794412 \nL 100.575268 130.739866 \nL 101.616122 130.80136 \nL 103.707811 131.255637 \nL 105.725494 132.106662 \nL 107.579844 133.284589 \nL 109.202276 134.711146 \nL 110.545069 136.308495 \nL 111.578979 138.005139 \nL 112.28952 139.738897 \nL 112.672912 141.457449 \nL 112.732429 143.117328 \nL 112.475509 144.681991 \nL 111.911831 146.119553 \nL 111.052385 147.400503 \nL 109.909526 148.495586 \nL 108.497936 149.374034 \nL 106.836498 150.002279 \nL 104.950963 150.343342 \nL 102.877347 150.357157 \nL 100.665795 150.002336 \nL 98.384467 149.239776 \nL 96.122626 148.038654 \nL 95.033021 147.26833 \nL 93.991763 146.385029 \nL 93.015865 145.391427 \nL 92.123153 144.292666 \nL 91.331887 143.096695 \nL 90.660268 141.814538 \nL 90.125868 140.460468 \nL 89.744968 139.052044 \nL 89.531847 137.609964 \nL 89.498065 136.157722 \nL 89.65178 134.721045 \nL 89.99716 133.327117 \nL 90.533943 132.003633 \nL 91.257201 130.777699 \nL 92.157328 129.674705 \nL 93.220286 128.717215 \nL 94.428084 127.923985 \nL 95.759467 127.309198 \nL 97.190775 126.88198 \nL 98.696864 126.646206 \nL 100.252082 126.600647 \nL 101.831166 126.739388 \nL 103.410037 127.052466 \nL 104.966458 127.52667 \nL 106.480508 128.146412 \nL 107.934883 128.894598 \nL 109.315042 129.753435 \nL 110.609188 130.705131 \nL 111.808157 131.732466 \nL 113.895744 133.950443 \nL 115.547925 136.293932 \nL 116.759704 138.673181 \nL 117.541737 141.020995 \nL 117.912604 143.288857 \nL 117.893015 145.442059 \nL 117.501941 147.4549 \nL 116.754472 149.306369 \nL 115.661075 150.976412 \nL 114.228087 152.442667 \nL 112.459296 153.677593 \nL 110.358636 154.645874 \nL 107.934142 155.302186 \nL 105.20332 155.589592 \nL 103.732783 155.573852 \nL 102.200136 155.439156 \nL 100.613606 155.175318 \nL 98.983578 154.771821 \nL 97.322912 154.218119 \nL 95.647227 153.504035 \nL 93.975137 152.620281 \nL 92.328417 151.559095 \nL 90.732043 150.315032 \nL 89.214071 148.885847 \nL 87.805312 147.273488 \nL 86.538747 145.485106 \nL 85.448646 143.534033 \nL 84.569395 141.440611 \nL 83.934028 139.232722 \nL 83.572509 136.945906 \nL 83.509887 134.62293 \nL 83.764462 132.312685 \nL 84.346129 130.068423 \nL 85.255106 127.94532 \nL 86.481232 125.997595 \nL 88.003971 124.275391 \nL 89.793165 122.821741 \nL 91.810511 121.670025 \nL 94.011606 120.842118 \nL 96.348371 120.347545 \nL 98.771571 120.183651 \nL 101.233204 120.336686 \nL 103.68853 120.783706 \nL 106.097617 121.494858 \nL 108.426353 122.435889 \nL 110.646916 123.570533 \nL 112.737808 124.862555 \nL 114.683507 126.27741 \nL 116.473895 127.783394 \nL 118.103524 129.352353 \nL 119.57083 130.960009 \nL 120.877351 132.585969 \nL 122.026997 134.213548 \nL 123.025382 135.829409 \nL 124.596047 138.987023 \nL 125.648962 142.003696 \nL 126.24344 144.852201 \nL 126.431456 147.522864 \nL 126.253895 150.015872 \nL 125.738995 152.335838 \nL 124.90216 154.487968 \nL 123.746571 156.475164 \nL 122.264271 158.295622 \nL 120.437593 159.940444 \nL 118.241033 161.390926 \nL 115.643848 162.615239 \nL 112.613908 163.564258 \nL 110.927625 163.914226 \nL 109.123587 164.166529 \nL 107.200516 164.307831 \nL 105.158778 164.32271 \nL 103.000919 164.193553 \nL 100.732313 163.900503 \nL 98.3619 163.421519 \nL 95.903027 162.732599 \nL 93.374359 161.80821 \nL 90.800816 160.622034 \nL 88.214518 159.148088 \nL 85.655558 157.362283 \nL 83.172552 155.24452 \nL 80.822731 152.781332 \nL 78.671401 149.968997 \nL 76.790533 146.81701 \nL 75.256292 143.351587 \nL 74.145369 139.61871 \nL 73.530177 135.686169 \nL 73.47312 131.643799 \nL 74.02048 127.601317 \nL 75.196652 123.683286 \nL 76.9997 120.021259 \nL 79.399106 116.743673 \nL 82.336403 113.964776 \nL 85.728857 111.774266 \nL 89.475816 110.229384 \nL 93.466781 109.350865 \nL 97.589951 109.123352 \nL 101.739988 109.499947 \nL 105.824036 110.409807 \nL 109.765514 111.767209 \nL 113.505672 113.480515 \nL 117.003276 115.459826 \nL 120.232957 117.622631 \nL 123.182827 119.897257 \nL 125.851808 122.224413 \nL 128.247052 124.557187 \nL 130.381624 126.860067 \nL 132.272562 129.107403 \nL 135.402476 133.371868 \nL 137.801374 137.279076 \nL 139.629401 140.817846 \nL 141.029515 144.007292 \nL 142.586327 148.206269 \nL 145.497317 156.708484 \nL 146.647403 159.09629 \nL 147.53873 160.475128 \nL 148.5709 161.68417 \nL 149.781051 162.71738 \nL 151.209964 163.562159 \nL 152.903587 164.198249 \nL 154.914277 164.59609 \nL 157.301601 164.714593 \nL 160.132402 164.498266 \nL 163.479535 163.873779 \nL 167.418328 162.746335 \nL 172.019177 160.996756 \nL 174.585356 159.84459 \nL 177.333951 158.481249 \nL 180.264778 156.885918 \nL 183.372913 155.037667 \nL 186.647186 152.916493 \nL 190.068395 150.504809 \nL 193.607275 147.78949 \nL 197.222259 144.764543 \nL 200.85716 141.434471 \nL 204.439046 137.818289 \nL 207.876563 133.954041 \nL 211.059291 129.903397 \nL 213.8587 125.75568 \nL 216.131493 121.630293 \nL 217.726043 117.676151 \nL 218.492482 114.066611 \nL 218.296402 110.988532 \nL 217.035295 108.624927 \nL 214.655635 107.13231 \nL 211.167318 106.61584 \nL 206.651614 107.107739 \nL 201.259193 108.555136 \nL 195.196991 110.822513 \nL 188.705578 113.709932 \nL 182.031788 116.983392 \nL 169.006463 123.785337 \nL 157.418912 129.832331 \nL 147.821624 134.548041 \nL 140.213799 137.996804 \nL 126.244198 144.074728 \nL 123.420789 145.532168 \nL 119.999242 147.567853 \nL 115.081577 150.603051 \nL 113.065033 151.613411 \nL 110.916619 152.443352 \nL 108.598521 153.041276 \nL 106.094234 153.349737 \nL 103.410059 153.30571 \nL 100.578438 152.842056 \nL 99.12573 152.431647 \nL 97.662509 151.891397 \nL 96.202242 151.214088 \nL 94.760817 150.393679 \nL 93.356566 149.425827 \nL 92.010158 148.308456 \nL 90.74438 147.042401 \nL 89.583772 145.632066 \nL 88.554071 144.08608 \nL 87.681462 142.417864 \nL 86.991655 140.646053 \nL 86.508783 138.7947 \nL 86.254185 136.893136 \nL 86.24515 134.975497 \nL 86.493703 133.079789 \nL 87.005553 131.246563 \nL 87.779341 129.5172 \nL 88.806245 127.931956 \nL 90.070064 126.527917 \nL 91.547748 125.337032 \nL 93.210407 124.384459 \nL 95.024659 123.687356 \nL 96.954229 123.254298 \nL 98.961638 123.085292 \nL 101.009821 123.172395 \nL 103.063572 123.500816 \nL 105.090698 124.050359 \nL 107.062838 124.797007 \nL 108.955961 125.714527 \nL 110.750534 126.775913 \nL 112.431443 127.954614 \nL 113.987701 129.225485 \nL 115.412031 130.565441 \nL 116.700368 131.953863 \nL 117.851317 133.372761 \nL 119.745733 136.243112 \nL 121.118485 139.082545 \nL 122.006096 141.829672 \nL 122.448448 144.447161 \nL 122.482136 146.913783 \nL 122.136535 149.217868 \nL 121.43188 151.352156 \nL 120.378772 153.309761 \nL 118.978736 155.08082 \nL 117.225608 156.649498 \nL 115.107743 157.991 \nL 112.611254 159.068424 \nL 111.217181 159.492425 \nL 109.724669 159.829351 \nL 108.133749 160.069661 \nL 106.445573 160.202452 \nL 104.662782 160.215392 \nL 102.789916 160.094724 \nL 100.833901 159.825321 \nL 98.804563 159.390835 \nL 96.715195 158.773984 \nL 94.583147 157.957 \nL 92.430384 156.922275 \nL 90.283995 155.653261 \nL 88.176558 154.13565 \nL 86.146299 152.358837 \nL 84.236913 150.317674 \nL 82.496966 148.014428 \nL 80.978745 145.460849 \nL 79.736472 142.680133 \nL 78.823872 139.708527 \nL 78.291122 136.59621 \nL 78.181346 133.407153 \nL 78.526955 130.217599 \nL 79.346244 127.112998 \nL 80.640677 124.183427 \nL 82.393389 121.517822 \nL 84.569176 119.197589 \nL 87.116197 117.290439 \nL 89.969209 115.845314 \nL 93.053954 114.889115 \nL 96.292157 114.425758 \nL 99.606458 114.437561 \nL 102.924697 114.888576 \nL 106.18319 115.729263 \nL 109.32877 116.9017 \nL 112.319652 118.344607 \nL 115.1253 119.99759 \nL 117.725559 121.804406 \nL 120.109331 123.715048 \nL 122.273047 125.68682 \nL 124.21911 127.684585 \nL 125.954438 129.680421 \nL 127.489175 131.652906 \nL 128.835605 133.586227 \nL 131.018193 137.294578 \nL 132.613784 140.756874 \nL 133.72837 143.961917 \nL 134.454262 146.919222 \nL 134.866829 149.648437 \nL 135.02412 152.173051 \nL 134.968021 154.516883 \nL 134.726028 156.702268 \nL 134.313112 158.749205 \nL 133.733351 160.675029 \nL 132.981174 162.494301 \nL 132.042171 164.218735 \nL 130.893484 165.856973 \nL 129.503822 167.414065 \nL 127.833195 168.890487 \nL 125.832516 170.280448 \nL 123.443292 171.569212 \nL 120.59779 172.728986 \nL 117.220334 173.712847 \nL 113.230803 174.446057 \nL 110.98198 174.684844 \nL 108.552131 174.814148 \nL 105.934424 174.810945 \nL 103.124541 174.647682 \nL 100.121795 174.291738 \nL 96.930517 173.704969 \nL 93.561771 172.843463 \nL 90.035422 171.657619 \nL 86.382499 170.092796 \nL 82.647834 168.090748 \nL 78.892745 165.592224 \nL 75.197509 162.541045 \nL 71.6631 158.889983 \nL 68.411571 154.608625 \nL 65.584207 149.693079 \nL 63.336538 144.176829 \nL 61.829479 138.141311 \nL 61.216274 131.723944 \nL 61.625943 125.120594 \nL 63.145081 118.579505 \nL 65.801235 112.384581 \nL 69.55181 106.828295 \nL 74.282118 102.177637 \nL 79.814462 98.639626 \nL 85.92723 96.334312 \nL 92.380172 95.281927 \nL 98.940326 95.407179 \nL 105.40331 96.558553 \nL 111.606648 98.536818 \nL 117.434498 101.125255 \nL 122.815295 104.115404 \nL 127.714969 107.324711 \nL 132.128379 110.605545 \nL 136.070895 113.846962 \nL 139.571228 116.971633 \nL 142.665871 119.930221 \nL 147.800133 125.254114 \nL 151.798008 129.756822 \nL 159.738641 139.035085 \nL 161.73592 141.004483 \nL 163.65747 142.520009 \nL 165.603326 143.618865 \nL 167.647962 144.322287 \nL 169.843861 144.638357 \nL 172.223311 144.565173 \nL 174.798243 144.094603 \nL 177.558156 143.217085 \nL 180.466292 141.927911 \nL 183.454691 140.235402 \nL 186.4192 138.17101 \nL 189.216461 135.800456 \nL 191.665698 133.233842 \nL 192.695336 131.924994 \nL 193.558783 130.630743 \nL 194.229266 129.377924 \nL 194.681645 128.195003 \nL 194.893703 127.111019 \nL 194.847484 126.154297 \nL 194.530596 125.350973 \nL 193.937365 124.723458 \nL 193.069691 124.28898 \nL 191.937508 124.058395 \nL 190.558743 124.035391 \nL 188.958748 124.216214 \nL 187.169219 124.590017 \nL 185.226693 125.139747 \nL 181.042095 126.676381 \nL 176.724411 128.624131 \nL 172.558517 130.78425 \nL 168.760334 132.99943 \nL 165.466146 135.168069 \nL 162.740558 137.238449 \nL 160.594083 139.192872 \nL 159.002593 141.031032 \nL 157.924104 142.757477 \nL 157.311261 144.374234 \nL 157.11959 145.877555 \nL 157.312327 147.257153 \nL 157.862779 148.496563 \nL 158.755004 149.573751 \nL 159.983389 150.461437 \nL 161.551455 151.127066 \nL 163.470009 151.532404 \nL 165.754546 151.632976 \nL 168.421608 151.377659 \nL 171.483654 150.708991 \nL 174.941803 149.564972 \nL 178.775767 147.883514 \nL 182.930441 145.611186 \nL 185.097257 144.242601 \nL 187.299259 142.718007 \nL 189.512056 141.040983 \nL 191.705821 139.219797 \nL 193.844956 137.268426 \nL 195.887997 135.207593 \nL 197.787866 133.065666 \nL 199.492603 130.879251 \nL 200.946653 128.693356 \nL 202.092849 126.560831 \nL 202.87508 124.540939 \nL 203.241622 122.696922 \nL 203.148951 121.092464 \nL 202.565723 119.787282 \nL 201.476486 118.832141 \nL 199.884593 118.263924 \nL 197.813758 118.101515 \nL 195.307864 118.343234 \nL 192.428804 118.966449 \nL 189.252534 119.929651 \nL 185.863784 121.176691 \nL 182.350141 122.642614 \nL 175.279429 125.964828 \nL 168.606813 129.424313 \nL 162.700891 132.710596 \nL 157.730156 135.691016 \nL 153.710628 138.360696 \nL 150.565201 140.777481 \nL 148.172709 143.013043 \nL 146.400794 145.127158 \nL 145.1247 147.159518 \nL 144.23628 149.13107 \nL 143.646982 151.048938 \nL 143.287487 152.911658 \nL 143.069304 155.589024 \nL 143.137906 158.10395 \nL 143.432468 160.433314 \nL 143.933277 162.558184 \nL 144.652273 164.461929 \nL 145.270983 165.599433 \nL 146.021429 166.623812 \nL 146.927072 167.526048 \nL 148.017417 168.293962 \nL 149.328808 168.910967 \nL 150.905389 169.354464 \nL 152.800153 169.593744 \nL 155.075924 169.587268 \nL 157.805951 169.279152 \nL 161.073623 168.594784 \nL 164.970342 167.435664 \nL 169.589994 165.674033 \nL 175.017479 163.148832 \nL 178.05328 161.54044 \nL 181.307432 159.666424 \nL 184.776076 157.499459 \nL 188.447788 155.012862 \nL 192.301205 152.18248 \nL 196.30223 148.989377 \nL 200.400908 145.423475 \nL 204.528129 141.488225 \nL 208.592451 137.206356 \nL 212.477586 132.62645 \nL 216.041251 127.829804 \nL 219.116421 122.936454 \nL 221.516192 118.108786 \nL 223.043463 113.550335 \nL 223.506284 109.4972 \nL 222.738829 106.199885 \nL 220.626153 103.894839 \nL 217.128941 102.768334 \nL 212.3022 102.919025 \nL 206.301464 104.32951 \nL 199.371758 106.857452 \nL 191.819358 110.252645 \nL 183.972167 114.197927 \nL 154.9435 129.610013 \nL 149.04493 132.478968 \nL 143.783156 134.857273 \nL 139.132485 136.786761 \nL 135.047759 138.330132 \nL 128.353721 140.532444 \nL 121.16104 142.49187 \nL 106.428007 146.079557 \nL 104.818214 146.17879 \nL 103.226418 146.089364 \nL 101.657377 145.785799 \nL 100.133823 145.249225 \nL 98.693954 144.470262 \nL 97.38844 143.452219 \nL 96.2765 142.214336 \nL 95.42059 140.794413 \nL 94.879743 139.25001 \nL 94.701962 137.657177 \nL 94.91661 136.106007 \nL 95.528233 134.692891 \nL 95.97665 134.067473 \nL 96.51324 133.510369 \nL 97.130749 133.030773 \nL 98.572485 132.333109 \nL 100.219146 132.014527 \nL 101.977589 132.085078 \nL 103.753648 132.52654 \nL 105.460337 133.297965 \nL 107.023597 134.343322 \nL 108.385218 135.599277 \nL 109.503203 137.001732 \nL 110.35026 138.490393 \nL 110.911263 140.011196 \nL 111.180382 141.517063 \nL 111.158442 142.967372 \nL 110.85082 144.326711 \nL 110.266077 145.563243 \nL 109.415376 146.647081 \nL 108.312697 147.548775 \nL 106.975812 148.238141 \nL 105.427952 148.683599 \nL 103.700074 148.852232 \nL 101.833525 148.710829 \nL 99.882771 148.228234 \nL 97.917702 147.379299 \nL 96.02471 146.150608 \nL 94.305537 144.547758 \nL 93.546128 143.614954 \nL 92.872885 142.603387 \nL 92.300209 141.522537 \nL 91.84189 140.3843 \nL 91.510627 139.202979 \nL 91.317521 137.995143 \nL 91.27157 136.779369 \nL 91.379185 135.575822 \nL 91.643778 134.405713 \nL 92.065456 133.29062 \nL 92.640833 132.251743 \nL 93.36301 131.309111 \nL 94.221714 130.480809 \nL 95.203595 129.78227 \nL 96.292687 129.225715 \nL 97.470966 128.819734 \nL 98.719001 128.569093 \nL 100.016622 128.474748 \nL 101.343584 128.534021 \nL 102.680177 128.740994 \nL 104.007757 129.086992 \nL 105.309153 129.56115 \nL 106.568975 130.151029 \nL 108.91225 131.623766 \nL 110.95456 133.39506 \nL 112.643436 135.360419 \nL 113.951913 137.428925 \nL 114.87193 139.526206 \nL 115.407797 141.593862 \nL 115.570609 143.586883 \nL 115.374045 145.470217 \nL 114.83161 147.215173 \nL 113.955234 148.79604 \nL 112.755093 150.187063 \nL 111.240549 151.359806 \nL 109.422173 152.280899 \nL 107.314848 152.910304 \nL 104.94202 153.20031 \nL 102.341069 153.09576 \nL 100.972077 152.87672 \nL 99.569606 152.53618 \nL 98.145121 152.066579 \nL 96.712146 151.460878 \nL 95.286408 150.71295 \nL 93.885906 149.818063 \nL 92.530886 148.773432 \nL 91.243698 147.578835 \nL 90.048528 146.237278 \nL 88.970918 144.755664 \nL 88.037143 143.14539 \nL 87.273366 141.422861 \nL 86.704624 139.609784 \nL 86.353671 137.733199 \nL 86.239747 135.825152 \nL 86.377336 133.921981 \nL 86.775056 132.063154 \nL 87.434767 130.289738 \nL 88.351008 128.642544 \nL 89.510887 127.160109 \nL 90.894399 125.876691 \nL 92.475243 124.820462 \nL 94.222015 124.012116 \nL 96.099712 123.464003 \nL 98.071385 123.179856 \nL 100.099795 123.15518 \nL 102.148939 123.378143 \nL 104.18533 123.830869 \nL 106.178969 124.490969 \nL 108.103973 125.333155 \nL 109.938894 126.330748 \nL 111.666727 127.457004 \nL 113.274728 128.686177 \nL 114.754039 129.994316 \nL 116.099221 131.359758 \nL 117.307735 132.763403 \nL 118.379415 134.188792 \nL 120.120431 137.051601 \nL 121.350045 139.864207 \nL 122.106223 142.572729 \nL 122.428175 145.144922 \nL 122.350549 147.562646 \nL 121.900123 149.815725 \nL 121.094338 151.897157 \nL 119.941134 153.799321 \nL 118.439749 155.510745 \nL 116.582342 157.013141 \nL 114.356482 158.278392 \nL 111.748755 159.265314 \nL 110.298468 159.637122 \nL 108.749958 159.916254 \nL 107.103937 160.092389 \nL 105.362451 160.153807 \nL 103.529276 160.087378 \nL 101.610362 159.878565 \nL 99.614349 159.511568 \nL 97.553102 158.969536 \nL 95.442284 158.234944 \nL 93.301944 157.290162 \nL 91.157027 156.11825 \nL 89.037813 154.70401 \nL 86.980155 153.035345 \nL 85.025443 151.104864 \nL 83.220187 148.911783 \nL 81.615088 146.46393 \nL 80.263531 143.779771 \nL 79.219415 140.890151 \nL 78.534353 137.839505 \nL 78.254347 134.686139 \nL 78.416194 131.501283 \nL 79.043943 128.366683 \nL 80.145897 125.370602 \nL 81.712596 122.602546 \nL 83.716199 120.147077 \nL 86.111497 118.077527 \nL 88.838532 116.450433 \nL 91.826565 115.301539 \nL 94.998841 114.643894 \nL 98.277584 114.468312 \nL 101.588554 114.745969 \nL 104.864738 115.432583 \nL 108.048866 116.473445 \nL 111.094737 117.80852 \nL 113.967467 119.377055 \nL 116.642889 121.121208 \nL 119.106406 122.988578 \nL 121.351531 124.933682 \nL 123.378339 126.918506 \nL 125.191973 128.912388 \nL 126.801292 130.89143 \nL 128.217708 132.837682 \nL 130.524619 136.584201 \nL 132.222919 140.092858 \nL 133.419807 143.346095 \nL 134.210095 146.349925 \nL 134.672121 149.122261 \nL 134.866891 151.685923 \nL 134.838966 154.064651 \nL 134.61814 156.281008 \nL 134.221287 158.355351 \nL 133.654027 160.305404 \nL 132.91204 162.146098 \nL 131.981941 163.889469 \nL 130.841741 165.54443 \nL 129.460923 167.116256 \nL 127.80024 168.605621 \nL 125.81136 170.00694 \nL 123.436602 171.305733 \nL 120.609127 172.474587 \nL 117.254242 173.467187 \nL 113.292872 174.209796 \nL 111.060539 174.454006 \nL 108.648932 174.589569 \nL 106.051291 174.593812 \nL 103.263327 174.439614 \nL 100.284309 174.094873 \nL 97.118426 173.522069 \nL 93.776471 172.678017 \nL 90.277845 171.513938 \nL 86.652901 169.976078 \nL 82.945494 168.007123 \nL 79.215639 165.548685 \nL 75.541927 162.545266 \nL 72.02328 158.949977 \nL 68.779359 154.732163 \nL 65.948852 149.886862 \nL 63.684722 144.445408 \nL 62.145682 138.485831 \nL 61.483584 132.140881 \nL 61.827329 125.600763 \nL 63.265039 119.107664 \nL 65.827607 112.939921 \nL 69.477401 107.386039 \nL 74.105764 102.711596 \nL 79.541217 99.125303 \nL 85.567582 96.751892 \nL 91.948489 95.618469 \nL 98.45291 95.657532 \nL 104.876481 96.724951 \nL 111.055239 98.627393 \nL 116.87092 101.152003 \nL 122.24918 104.092102 \nL 127.153235 107.265222 \nL 131.575572 110.52263 \nL 135.529633 113.751608 \nL 139.042661 116.872839 \nL 142.150083 119.83504 \nL 147.307468 125.180815 \nL 151.322942 129.716963 \nL 160.294456 140.183661 \nL 162.234756 141.963151 \nL 164.151289 143.309709 \nL 166.132453 144.252151 \nL 168.243326 144.804535 \nL 170.528478 144.968943 \nL 173.012886 144.738719 \nL 175.70086 144.102503 \nL 178.57301 143.049501 \nL 181.581561 141.576572 \nL 184.644769 139.697399 \nL 187.641852 137.453607 \nL 190.41083 134.926571 \nL 192.752606 132.247047 \nL 193.694143 130.905356 \nL 194.445081 129.597811 \nL 194.97847 128.353699 \nL 195.269977 127.203328 \nL 195.299289 126.176707 \nL 195.051538 125.302034 \nL 194.518586 124.604053 \nL 193.700044 124.10245 \nL 192.60391 123.810484 \nL 191.246669 123.733989 \nL 189.652855 123.870925 \nL 187.854035 124.211571 \nL 185.887305 124.739337 \nL 181.614858 126.264167 \nL 177.169781 128.235307 \nL 172.854875 130.441026 \nL 168.902414 132.711256 \nL 165.46063 134.935329 \nL 162.600951 137.056991 \nL 160.336335 139.057683 \nL 158.642033 140.938419 \nL 157.473647 142.705956 \nL 156.780588 144.364613 \nL 156.514972 145.912658 \nL 156.636839 147.341492 \nL 157.116727 148.636093 \nL 157.936467 149.775748 \nL 159.088849 150.734523 \nL 160.576535 151.481274 \nL 162.410377 151.97924 \nL 164.607091 152.185369 \nL 167.186025 152.049654 \nL 170.164585 151.514957 \nL 173.551707 150.518021 \nL 177.338605 148.992756 \nL 181.486097 146.877326 \nL 183.670544 145.583148 \nL 185.908209 144.126992 \nL 188.177859 142.509301 \nL 190.452886 140.734626 \nL 192.700814 138.812711 \nL 194.882959 136.759624 \nL 196.9544 134.598859 \nL 198.864329 132.362263 \nL 200.556957 130.090616 \nL 201.973063 127.833631 \nL 203.052304 125.649183 \nL 203.736278 123.601482 \nL 203.972277 121.758126 \nL 203.717514 120.18598 \nL 202.943403 118.946138 \nL 201.639395 118.088429 \nL 199.815764 117.646206 \nL 197.504739 117.632298 \nL 194.759619 118.036901 \nL 191.651738 118.828055 \nL 188.265592 119.9548 \nL 184.69274 121.352545 \nL 181.02536 122.949819 \nL 173.744534 126.463227 \nL 166.981453 130.020038 \nL 161.074865 133.333669 \nL 156.157754 136.302817 \nL 152.215472 138.947938 \nL 149.148789 141.341901 \nL 146.822484 143.562766 \nL 145.096161 145.671482 \nL 143.840924 147.706596 \nL 142.946688 149.687423 \nL 142.323954 151.61986 \nL 141.750286 154.422363 \nL 141.465306 157.091439 \nL 141.359858 160.408059 \nL 141.501203 164.124267 \nL 141.877226 167.347043 \nL 142.368559 169.571727 \nL 142.88506 171.03396 \nL 143.572104 172.314613 \nL 144.486069 173.402362 \nL 145.2585 174.010252 \nL 146.194814 174.513129 \nL 147.330806 174.89695 \nL 148.710062 175.142238 \nL 150.385428 175.222204 \nL 152.420566 175.100176 \nL 154.891435 174.726137 \nL 157.887343 174.032108 \nL 161.510872 172.926224 \nL 165.875416 171.285568 \nL 171.098135 168.948467 \nL 174.065431 167.456044 \nL 177.284605 165.70847 \nL 180.762237 163.673037 \nL 184.499359 161.315162 \nL 188.489163 158.599598 \nL 192.714137 155.492405 \nL 197.142587 151.963899 \nL 201.724569 147.992857 \nL 206.387344 143.572238 \nL 211.030694 138.716559 \nL 215.522657 133.470815 \nL 219.696613 127.920446 \nL 223.351123 122.201096 \nL 226.254265 116.50595 \nL 228.154567 111.087315 \nL 228.800221 106.248206 \nL 227.967296 102.319693 \nL 225.494988 99.62183 \nL 221.322559 98.410616 \nL 215.518637 98.82065 \nL 208.291798 100.820122 \nL 199.974104 104.196792 \nL 190.977348 108.586396 \nL 181.732355 113.539251 \nL 163.972388 123.403622 \nL 155.966879 127.675286 \nL 148.719699 131.281977 \nL 142.261322 134.191428 \nL 136.56931 136.444605 \nL 131.590037 138.123481 \nL 127.25511 139.32553 \nL 123.492213 140.146981 \nL 120.231462 140.673692 \nL 120.231462 140.673692 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p4843e05dfb\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(results_test_np[:,0], results_test_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(results_test_np[:,0], results_test_np[:,1], results_test_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
\ No newline at end of file
diff --git a/examples/ode/lorenz63/Lorenz63Train_fit.ipynb b/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
new file mode 100644
index 00000000..a701d4c1
--- /dev/null
+++ b/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
@@ -0,0 +1,735 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Lorenz 63 equations\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"sigma\"]*(prev_val[\"y\"]-prev_val[\"x\"])\n",
+    "\n",
+    "def y_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x\"]*(coeffs[\"rho\"]-prev_val[\"z\"])-prev_val[\"y\"]\n",
+    "\n",
+    "def z_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x\"]*prev_val[\"y\"]-coeffs[\"beta\"]*prev_val[\"z\"]\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
+    "\n",
+    "# Initial conditions [1,0,0]\n",
+    "ode_init = {\"x\":1, \"y\":0, \"z\":0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"sigma\": 10., \"rho\": 28., \"beta\": 2.7}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None,\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(2000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 9.1793e-01,  2.6634e-01,  1.2636e-03],\n",
+       "        [ 8.6792e-01,  5.1173e-01,  4.6540e-03],\n",
+       "        ...,\n",
+       "        [-4.8749e+00, -7.0272e+00,  1.7946e+01],\n",
+       "        [-5.1005e+00, -7.4593e+00,  1.7824e+01],\n",
+       "        [-5.3468e+00, -7.9161e+00,  1.7745e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 14
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "<ipython-input-15-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T12:10:37.232675</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"md66cf0e62c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.815396\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −15 -->\n      <g transform=\"translate(34.263052 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"91.171859\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −10 -->\n      <g transform=\"translate(80.619515 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"137.528322\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −5 -->\n      <g transform=\"translate(130.157228 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"183.884785\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0 -->\n      <g transform=\"translate(180.703535 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"230.241249\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 5 -->\n      <g transform=\"translate(227.059999 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"276.597712\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(270.235212 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"322.954175\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 15 -->\n      <g transform=\"translate(316.591675 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.310638\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 20 -->\n      <g transform=\"translate(362.948138 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_9\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m16f19ad91a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m16f19ad91a\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m16f19ad91a\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m16f19ad91a\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m16f19ad91a\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m16f19ad91a\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m16f19ad91a\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p54297b5f11)\" d=\"M 193.156078 261.829321 \nL 191.72242 261.779998 \nL 191.735823 261.745412 \nL 192.918654 261.578892 \nL 198.434185 260.884149 \nL 204.25439 259.876397 \nL 209.526025 258.688842 \nL 216.203498 256.800226 \nL 220.165331 255.474279 \nL 224.599981 253.807056 \nL 229.553437 251.714507 \nL 235.07267 249.094254 \nL 241.2038 245.822989 \nL 247.989355 241.754373 \nL 255.464366 236.718134 \nL 263.650939 230.521413 \nL 272.550991 222.953863 \nL 282.136972 213.798506 \nL 292.340455 202.850643 \nL 303.039078 189.947098 \nL 314.043026 175.006907 \nL 325.083138 158.082124 \nL 335.804184 139.412789 \nL 345.767718 119.473861 \nL 354.469228 98.995877 \nL 361.372954 78.938865 \nL 365.964108 60.405125 \nL 367.812273 44.493932 \nL 366.634493 32.125386 \nL 362.342668 23.880766 \nL 355.062318 19.909321 \nL 345.116891 19.930314 \nL 332.981813 23.324554 \nL 319.220569 29.279014 \nL 304.418204 36.937415 \nL 289.125181 45.519206 \nL 244.604243 71.301974 \nL 231.179009 78.867868 \nL 218.725498 85.710792 \nL 207.299478 91.825618 \nL 187.527712 102.038584 \nL 164.871759 113.285454 \nL 125.349039 132.521449 \nL 121.664482 133.904007 \nL 118.372806 134.792874 \nL 115.337595 135.204335 \nL 113.886838 135.23505 \nL 112.470321 135.151403 \nL 111.08326 134.955528 \nL 108.388847 134.238442 \nL 105.80478 133.113992 \nL 103.358017 131.627023 \nL 101.095623 129.839778 \nL 99.078659 127.832871 \nL 97.37527 125.70389 \nL 96.053086 123.563332 \nL 95.17125 121.527844 \nL 94.772856 119.711464 \nL 94.762423 118.918003 \nL 94.878595 118.216075 \nL 95.11979 117.615064 \nL 95.482649 117.122625 \nL 95.962086 116.74453 \nL 96.551365 116.484623 \nL 97.242245 116.3448 \nL 98.025124 116.32506 \nL 99.822909 116.636943 \nL 101.848882 117.387077 \nL 103.999878 118.5219 \nL 106.172678 119.974145 \nL 108.27027 121.669199 \nL 110.206468 123.530273 \nL 111.908778 125.48219 \nL 113.319646 127.453685 \nL 114.396395 129.378533 \nL 115.11033 131.195803 \nL 115.445407 132.849693 \nL 115.396826 134.289174 \nL 114.969838 135.467773 \nL 114.61862 135.945973 \nL 114.178935 136.343655 \nL 113.653989 136.656399 \nL 113.04754 136.880194 \nL 111.608069 137.047163 \nL 109.902434 136.822564 \nL 107.982637 136.195115 \nL 105.911306 135.167229 \nL 103.761733 133.758204 \nL 101.617121 132.007176 \nL 99.568539 129.975018 \nL 97.711444 127.744545 \nL 96.14054 125.418206 \nL 94.943282 123.112832 \nL 94.192578 120.95151 \nL 94.001719 119.962568 \nL 93.939667 119.053444 \nL 94.008474 118.236666 \nL 94.208237 117.523216 \nL 94.537054 116.92232 \nL 94.991036 116.44124 \nL 95.564374 116.085171 \nL 96.249471 115.857184 \nL 97.037107 115.758266 \nL 97.916644 115.787373 \nL 99.903236 116.216296 \nL 102.105241 117.101518 \nL 104.41241 118.380555 \nL 106.716183 119.978327 \nL 108.916119 121.813873 \nL 110.924497 123.805681 \nL 112.66889 125.875232 \nL 114.09302 127.949032 \nL 115.156268 129.959402 \nL 115.832435 131.844427 \nL 116.108104 133.547527 \nL 115.981065 135.016928 \nL 115.768588 135.649036 \nL 115.459064 136.205325 \nL 115.054888 136.680588 \nL 114.559004 137.069945 \nL 113.974924 137.368872 \nL 113.306728 137.573234 \nL 111.737279 137.684141 \nL 109.895555 137.38021 \nL 107.837146 136.65039 \nL 105.628996 135.498391 \nL 103.349573 133.946319 \nL 101.088028 132.037928 \nL 98.941948 129.840744 \nL 97.013437 127.446145 \nL 95.403294 124.966539 \nL 94.203763 122.529245 \nL 93.490398 120.267111 \nL 93.333138 119.241942 \nL 93.314305 118.307022 \nL 93.435438 117.475327 \nL 93.695943 116.75804 \nL 94.093028 116.16434 \nL 94.621785 115.7012 \nL 95.275247 115.373281 \nL 96.044571 115.182946 \nL 96.919228 115.130282 \nL 97.887245 115.213221 \nL 100.049957 115.768083 \nL 102.418903 116.795912 \nL 104.875658 118.225423 \nL 107.305506 119.973877 \nL 109.604134 121.954261 \nL 111.681995 124.080572 \nL 113.466557 126.27123 \nL 114.90268 128.450751 \nL 115.951706 130.550175 \nL 116.589774 132.506685 \nL 116.805925 134.262947 \nL 116.600354 135.766364 \nL 116.342191 136.408022 \nL 115.983068 136.968702 \nL 115.525647 137.443075 \nL 114.973145 137.826098 \nL 114.329343 138.113084 \nL 113.598613 138.299763 \nL 112.785933 138.382339 \nL 110.937874 138.222776 \nL 108.838426 137.616742 \nL 106.552689 136.560494 \nL 104.158208 135.068244 \nL 101.74477 133.17611 \nL 99.412755 130.945264 \nL 97.26977 128.463247 \nL 95.425133 125.842422 \nL 93.982497 123.214745 \nL 93.03112 120.722739 \nL 92.761392 119.5721 \nL 92.636926 118.507404 \nL 92.661047 117.543846 \nL 92.834788 116.694879 \nL 93.156815 115.971919 \nL 93.623441 115.384084 \nL 94.228661 114.938033 \nL 94.964308 114.637872 \nL 95.82022 114.48518 \nL 96.784497 114.479104 \nL 97.84377 114.616506 \nL 98.983531 114.892191 \nL 101.44269 115.829005 \nL 104.035281 117.217582 \nL 106.636368 118.971453 \nL 109.130665 120.998013 \nL 111.418019 123.204995 \nL 113.416397 125.504686 \nL 115.062646 127.81604 \nL 116.311691 130.065344 \nL 117.134685 132.185808 \nL 117.516845 134.116646 \nL 117.455324 135.802169 \nL 117.260128 136.536717 \nL 116.957518 137.190976 \nL 116.549854 137.759167 \nL 116.040031 138.23576 \nL 115.431513 138.61554 \nL 114.72832 138.893636 \nL 113.935083 139.065571 \nL 113.057058 139.127354 \nL 112.100163 139.07556 \nL 109.97709 138.621013 \nL 107.628241 137.69015 \nL 105.129205 136.288235 \nL 102.569134 134.442163 \nL 100.049939 132.204658 \nL 97.683575 129.656954 \nL 95.587123 126.908764 \nL 93.875556 124.094436 \nL 92.652603 121.364703 \nL 92.25123 120.080211 \nL 92.000733 118.874515 \nL 91.906568 117.765211 \nL 91.971785 116.768326 \nL 92.196923 115.897879 \nL 92.579932 115.165551 \nL 93.116196 114.580443 \nL 93.798597 114.148898 \nL 94.617709 113.874447 \nL 95.562004 113.757875 \nL 96.61813 113.797335 \nL 97.771276 113.98856 \nL 99.005476 114.325148 \nL 101.649756 115.399977 \nL 104.414434 116.940051 \nL 107.166814 118.850173 \nL 109.786328 121.030718 \nL 112.169894 123.384192 \nL 114.234581 125.819285 \nL 115.91786 128.252656 \nL 117.176259 130.609155 \nL 117.983073 132.821007 \nL 118.325794 134.826651 \nL 118.322505 135.734291 \nL 118.20376 136.569489 \nL 117.971026 137.325804 \nL 117.626338 137.997019 \nL 117.172254 138.577161 \nL 116.611888 139.0605 \nL 115.948895 139.44159 \nL 115.187506 139.715314 \nL 114.332566 139.876962 \nL 113.389567 139.922288 \nL 112.364697 139.847626 \nL 111.264897 139.650009 \nL 108.872334 138.87826 \nL 106.284323 137.602475 \nL 103.587974 135.838807 \nL 100.8851 133.629337 \nL 98.290449 131.046115 \nL 95.927568 128.192997 \nL 93.922108 125.203577 \nL 92.392566 122.234433 \nL 91.838672 120.80986 \nL 91.439412 119.453318 \nL 91.202708 118.184977 \nL 91.134078 117.023669 \nL 91.236395 115.986377 \nL 91.509766 115.087808 \nL 91.951449 114.340008 \nL 92.5559 113.752125 \nL 93.314897 113.330234 \nL 94.217706 113.077322 \nL 95.251392 112.993369 \nL 96.401108 113.075523 \nL 97.650498 113.31835 \nL 98.982089 113.714195 \nL 101.818837 114.925288 \nL 104.764339 116.616878 \nL 107.677666 118.684745 \nL 110.432561 121.02202 \nL 112.922746 123.525881 \nL 115.064189 126.1014 \nL 116.794838 128.66294 \nL 118.07272 131.133915 \nL 118.87315 133.445604 \nL 119.18576 135.535603 \nL 119.159155 136.479335 \nL 119.011891 137.346377 \nL 118.745651 138.130135 \nL 118.362651 138.824189 \nL 117.865632 139.422348 \nL 117.25786 139.918642 \nL 116.543152 140.307359 \nL 115.725896 140.583082 \nL 114.811097 140.740798 \nL 113.804432 140.775943 \nL 112.712299 140.684527 \nL 111.541888 140.463276 \nL 110.301243 140.109752 \nL 107.646048 139.001434 \nL 104.83022 137.363676 \nL 101.953569 135.225673 \nL 99.13156 132.647254 \nL 96.492311 129.722594 \nL 94.170748 126.580472 \nL 92.299709 123.3796 \nL 91.571322 121.812457 \nL 90.998613 120.29816 \nL 90.592359 118.859435 \nL 90.36096 117.518088 \nL 90.310146 116.294384 \nL 90.442756 115.206485 \nL 90.758549 114.269967 \nL 91.254194 113.497404 \nL 91.923279 112.898135 \nL 92.756476 112.478072 \nL 93.74177 112.239723 \nL 94.864767 112.182293 \nL 96.109063 112.301937 \nL 97.456712 112.59206 \nL 98.88864 113.043708 \nL 100.385096 113.645992 \nL 103.49189 115.251877 \nL 106.621691 117.300158 \nL 109.632348 119.675707 \nL 112.402137 122.266449 \nL 114.833268 124.968577 \nL 116.852283 127.688733 \nL 118.408301 130.344043 \nL 119.469989 132.860869 \nL 120.022114 135.17297 \nL 120.105939 136.233102 \nL 120.062362 137.219633 \nL 119.892697 138.12559 \nL 119.598796 138.944186 \nL 119.183024 139.668802 \nL 118.648254 140.292987 \nL 117.997865 140.810495 \nL 117.235773 141.215286 \nL 116.366466 141.501621 \nL 115.395049 141.664092 \nL 114.327305 141.697745 \nL 113.169777 141.598176 \nL 111.929826 141.361692 \nL 110.615715 140.985463 \nL 109.236696 140.467697 \nL 106.326163 139.00683 \nL 103.293896 136.993455 \nL 100.253566 134.472017 \nL 97.335217 131.522756 \nL 94.68076 128.264598 \nL 92.435961 124.853249 \nL 91.511074 123.147001 \nL 90.739186 121.473123 \nL 90.134204 119.856712 \nL 89.707852 118.322523 \nL 89.469257 116.894275 \nL 89.424597 115.593967 \nL 89.576879 114.441232 \nL 89.925732 113.452796 \nL 90.467362 112.642027 \nL 91.194618 112.018664 \nL 92.097144 111.58866 \nL 93.161651 111.354167 \nL 94.372296 111.31373 \nL 95.711085 111.462557 \nL 97.158381 111.792897 \nL 98.693405 112.294483 \nL 100.294742 112.955047 \nL 103.610353 114.6969 \nL 106.938492 116.898198 \nL 110.128302 119.434659 \nL 113.052173 122.187146 \nL 115.609051 125.046837 \nL 117.72438 127.917102 \nL 119.347689 130.713058 \nL 120.448974 133.359823 \nL 120.799096 134.606032 \nL 121.014725 135.790247 \nL 121.096158 136.904919 \nL 121.044314 137.942728 \nL 120.86067 138.896535 \nL 120.547215 139.759367 \nL 120.106425 140.524371 \nL 119.541253 141.18484 \nL 118.855135 141.7342 \nL 118.05203 142.16607 \nL 117.136445 142.474297 \nL 116.113507 142.653035 \nL 114.989029 142.696849 \nL 113.769591 142.600821 \nL 112.462633 142.360711 \nL 111.07654 141.973143 \nL 109.62073 141.43579 \nL 108.105751 140.747592 \nL 106.543344 139.908997 \nL 104.946498 138.922217 \nL 101.707705 136.523216 \nL 98.518001 133.612458 \nL 95.522906 130.293129 \nL 94.146928 128.524294 \nL 92.878396 126.711281 \nL 91.736708 124.87828 \nL 90.740432 123.051164 \nL 89.906775 121.256886 \nL 89.251094 119.522861 \nL 88.786387 117.876166 \nL 88.522849 116.3428 \nL 88.467472 114.946884 \nL 88.623742 113.709938 \nL 88.991455 112.650255 \nL 89.566622 111.782401 \nL 90.341535 111.11686 \nL 91.304963 110.659911 \nL 92.442433 110.413621 \nL 93.736678 110.376036 \nL 95.168093 110.541541 \nL 96.715301 110.901275 \nL 98.355692 111.443689 \nL 100.066022 112.155081 \nL 101.822958 113.020189 \nL 105.385652 115.145773 \nL 108.872201 117.685908 \nL 112.133966 120.50901 \nL 115.050679 123.493961 \nL 117.531629 126.533357 \nL 119.513733 129.533646 \nL 120.957709 132.413441 \nL 121.471015 133.785407 \nL 121.843533 135.10091 \nL 122.075051 136.352008 \nL 122.166042 137.531047 \nL 122.117584 138.630572 \nL 121.931292 139.643292 \nL 121.609252 140.562032 \nL 121.15401 141.37971 \nL 120.568551 142.089341 \nL 119.856313 142.684018 \nL 119.021219 143.156965 \nL 118.067724 143.501581 \nL 117.000887 143.711512 \nL 115.826436 143.780749 \nL 114.550879 143.703752 \nL 113.181599 143.475603 \nL 111.72696 143.092216 \nL 110.196424 142.550519 \nL 108.600635 141.848724 \nL 106.951543 140.986563 \nL 105.262433 139.965595 \nL 103.548018 138.789484 \nL 101.824408 137.464269 \nL 100.109082 135.998618 \nL 98.420795 134.404072 \nL 96.779404 132.695144 \nL 95.205644 130.889413 \nL 93.720824 129.007441 \nL 92.346429 127.072613 \nL 91.10368 125.110812 \nL 90.013009 123.149919 \nL 89.093542 121.219244 \nL 88.362476 119.348745 \nL 87.83455 117.568198 \nL 87.521507 115.906337 \nL 87.43163 114.389926 \nL 87.569376 113.042943 \nL 87.935126 111.885835 \nL 88.525103 110.934908 \nL 89.331386 110.201958 \nL 90.342127 109.694057 \nL 91.541861 109.413578 \nL 92.912003 109.358388 \nL 94.431342 109.522256 \nL 96.076685 109.895367 \nL 97.823496 110.464917 \nL 99.646541 111.215769 \nL 101.52048 112.131102 \nL 105.322522 114.383113 \nL 109.044342 117.074391 \nL 112.526497 120.063122 \nL 115.641156 123.220352 \nL 118.293097 126.433185 \nL 120.417206 129.604539 \nL 121.973945 132.650919 \nL 122.532892 134.104083 \nL 122.944088 135.499224 \nL 123.207481 136.828314 \nL 123.323698 138.083584 \nL 123.293954 139.257465 \nL 123.119965 140.342513 \nL 122.803897 141.33138 \nL 122.34832 142.216754 \nL 121.756211 142.991374 \nL 121.030945 143.648006 \nL 120.176346 144.179465 \nL 119.196733 144.578668 \nL 118.096977 144.838699 \nL 116.882615 144.952898 \nL 115.55994 144.914998 \nL 114.136119 144.719276 \nL 112.619318 144.360748 \nL 111.018839 143.835394 \nL 109.345229 143.140412 \nL 107.610416 142.274528 \nL 105.827804 141.238279 \nL 104.012336 140.034372 \nL 102.180529 138.667994 \nL 100.350481 137.147134 \nL 98.541777 135.482833 \nL 96.775354 133.689436 \nL 95.073283 131.784662 \nL 93.458444 129.789659 \nL 91.954137 127.728824 \nL 90.583623 125.629525 \nL 89.369539 123.521614 \nL 88.333325 121.436791 \nL 87.49453 119.40781 \nL 86.87022 117.467547 \nL 86.474311 115.64799 \nL 86.317042 113.979221 \nL 86.404514 112.488425 \nL 86.738371 111.198986 \nL 87.315625 110.129812 \nL 88.128699 109.294767 \nL 89.165559 108.702464 \nL 90.410103 108.356193 \nL 91.842624 108.254174 \nL 93.440433 108.38995 \nL 95.178518 108.752985 \nL 97.030299 109.329367 \nL 98.96834 110.102542 \nL 100.965056 111.054073 \nL 102.993337 112.164333 \nL 107.041782 114.78048 \nL 110.924956 117.792424 \nL 114.486829 121.053242 \nL 117.607646 124.433684 \nL 120.202699 127.823389 \nL 122.217974 131.12893 \nL 122.998275 132.724739 \nL 123.624297 134.270391 \nL 124.095277 135.75738 \nL 124.411287 137.177561 \nL 124.573087 138.52308 \nL 124.582013 139.786283 \nL 124.439868 140.959599 \nL 124.148871 142.035538 \nL 123.7116 143.006607 \nL 123.130977 143.865286 \nL 122.410278 144.604024 \nL 121.553159 145.215254 \nL 120.563705 145.691417 \nL 119.446518 146.025 \nL 118.206792 146.208666 \nL 116.850452 146.235323 \nL 115.384266 146.098323 \nL 113.815989 145.791627 \nL 112.154514 145.310029 \nL 110.410028 144.649455 \nL 108.594154 143.807253 \nL 106.720091 142.782544 \nL 104.802704 141.57658 \nL 102.858632 140.193131 \nL 100.906276 138.638887 \nL 98.965794 136.923759 \nL 97.05899 135.061211 \nL 95.209101 133.068465 \nL 93.440539 130.966592 \nL 91.778485 128.78044 \nL 90.248387 126.538418 \nL 88.875389 124.272055 \nL 87.683683 122.015345 \nL 86.695772 119.803952 \nL 85.931717 117.674177 \nL 85.408433 115.661845 \nL 85.138997 113.801124 \nL 85.132091 112.123352 \nL 85.391554 110.65595 \nL 85.916129 109.421539 \nL 86.699388 108.437237 \nL 87.729864 107.714267 \nL 88.991375 107.257854 \nL 90.46356 107.067385 \nL 92.122502 107.136862 \nL 93.941489 107.455518 \nL 95.891847 108.00862 \nL 97.943762 108.778322 \nL 100.067075 109.74454 \nL 102.23205 110.885783 \nL 104.409996 112.17993 \nL 106.573813 113.604857 \nL 110.761025 116.761552 \nL 114.621697 120.195453 \nL 118.024254 123.766843 \nL 120.876241 127.358 \nL 122.076403 129.129668 \nL 123.119386 130.870803 \nL 124.002133 132.57153 \nL 124.722858 134.222655 \nL 125.280846 135.815536 \nL 125.676251 137.341946 \nL 125.909944 138.793962 \nL 125.983367 140.163852 \nL 125.89841 141.44399 \nL 125.657348 142.62678 \nL 125.262756 143.704613 \nL 124.717496 144.669779 \nL 124.02471 145.514487 \nL 123.187843 146.230836 \nL 122.210693 146.810815 \nL 121.097471 147.246379 \nL 119.852927 147.529499 \nL 118.48244 147.652242 \nL 116.992178 147.606955 \nL 115.38924 147.386422 \nL 113.681837 146.98408 \nL 111.879459 146.394293 \nL 109.993058 145.612697 \nL 108.03522 144.636528 \nL 106.020299 143.465049 \nL 103.964582 142.099962 \nL 101.886336 140.545871 \nL 99.805853 138.810707 \nL 97.745379 136.906144 \nL 95.728999 134.847893 \nL 93.782381 132.655962 \nL 91.932439 130.354711 \nL 90.206848 127.972742 \nL 88.633442 125.542567 \nL 87.239542 123.10003 \nL 86.051161 120.68349 \nL 85.092162 118.332819 \nL 84.383413 116.088127 \nL 83.941968 113.988474 \nL 83.78034 112.070458 \nL 83.905876 110.366898 \nL 84.320362 108.905668 \nL 85.019801 107.708765 \nL 85.994458 106.791681 \nL 87.229109 106.163094 \nL 88.703531 105.824947 \nL 90.393162 105.772837 \nL 92.269948 105.996652 \nL 94.303233 106.481454 \nL 96.46071 107.208443 \nL 98.709382 108.155993 \nL 101.016409 109.300662 \nL 103.349918 110.618098 \nL 105.679651 112.083806 \nL 107.977465 113.673836 \nL 110.217746 115.365234 \nL 114.43712 118.96729 \nL 118.189286 122.736268 \nL 119.855977 124.642438 \nL 121.369957 126.544284 \nL 122.724206 128.429414 \nL 123.913644 130.286565 \nL 124.934876 132.105472 \nL 125.785938 133.876661 \nL 126.466053 135.591301 \nL 126.975403 137.241057 \nL 127.314941 138.81795 \nL 127.486206 140.314229 \nL 127.491206 141.722259 \nL 127.332284 143.034442 \nL 127.012047 144.243123 \nL 126.533322 145.340524 \nL 125.899131 146.318722 \nL 125.112702 147.169583 \nL 124.177505 147.884783 \nL 123.097326 148.455826 \nL 121.876349 148.87408 \nL 120.519284 149.130848 \nL 119.031502 149.21749 \nL 117.41921 149.125586 \nL 115.689618 148.847107 \nL 113.851152 148.374695 \nL 111.913655 147.701979 \nL 109.888597 146.823905 \nL 107.789276 145.737192 \nL 105.630994 144.440768 \nL 103.431218 142.936308 \nL 101.209691 141.228711 \nL 98.988438 139.326645 \nL 96.791729 137.243009 \nL 94.645941 134.995332 \nL 92.579251 132.606014 \nL 90.621254 130.102412 \nL 88.802373 127.516702 \nL 87.153219 124.885457 \nL 85.70374 122.248958 \nL 84.482317 119.650216 \nL 83.514804 117.133706 \nL 82.823543 114.743929 \nL 82.426414 112.523809 \nL 82.336033 110.513103 \nL 82.559094 108.746871 \nL 83.095941 107.254199 \nL 83.940386 106.057172 \nL 85.079828 105.170286 \nL 86.495638 104.600257 \nL 88.163801 104.346225 \nL 90.055742 104.400373 \nL 92.139328 104.748768 \nL 94.379936 105.372504 \nL 96.741552 106.248865 \nL 99.187847 107.352533 \nL 101.683098 108.656717 \nL 104.193062 110.134175 \nL 106.685635 111.75802 \nL 109.131372 113.502389 \nL 111.503824 115.342892 \nL 113.779755 117.256928 \nL 115.939182 119.22381 \nL 117.965314 121.224794 \nL 119.844425 123.243049 \nL 121.565617 125.263476 \nL 123.120566 127.272593 \nL 124.503219 129.258296 \nL 125.709505 131.209687 \nL 126.737023 133.116853 \nL 127.584753 134.970684 \nL 128.252799 136.762675 \nL 128.742143 138.484788 \nL 129.054427 140.129281 \nL 129.191788 141.688578 \nL 129.156704 143.155157 \nL 128.951884 144.521449 \nL 128.580193 145.779762 \nL 128.044605 146.922182 \nL 127.348199 147.940557 \nL 126.49417 148.826439 \nL 125.485874 149.571081 \nL 124.326918 150.165461 \nL 123.02126 150.600288 \nL 121.57335 150.866118 \nL 119.988295 150.953448 \nL 118.27204 150.852875 \nL 116.431581 150.555297 \nL 114.475193 150.052229 \nL 112.412672 149.336091 \nL 110.255584 148.400645 \nL 108.017501 147.241451 \nL 105.714231 145.856395 \nL 103.364003 144.246271 \nL 100.987611 142.415414 \nL 98.608488 140.37229 \nL 96.252663 138.130068 \nL 93.948615 135.707136 \nL 91.727017 133.127407 \nL 89.620248 130.420504 \nL 87.661808 127.62161 \nL 85.885554 124.771047 \nL 84.324756 121.91349 \nL 83.011051 119.096856 \nL 81.973316 116.370845 \nL 81.23653 113.785241 \nL 80.820691 111.38802 \nL 80.739833 109.223483 \nL 81.001276 107.330469 \nL 81.605135 105.740821 \nL 82.544152 104.47827 \nL 83.803798 103.55776 \nL 85.362792 102.985282 \nL 87.19383 102.758214 \nL 89.264631 102.866088 \nL 91.539059 103.291729 \nL 93.978421 104.012556 \nL 96.542727 105.002044 \nL 99.19187 106.231116 \nL 101.886725 107.669458 \nL 104.590094 109.286653 \nL 107.267389 111.053077 \nL 109.887191 112.94059 \nL 112.421594 114.922992 \nL 114.846367 116.976305 \nL 117.140958 119.078858 \nL 119.288391 121.211283 \nL 121.275054 123.356367 \nL 123.09042 125.498887 \nL 124.726718 127.62538 \nL 126.178585 129.723895 \nL 127.442718 131.783772 \nL 128.517522 133.795377 \nL 129.402789 135.749907 \nL 130.099398 137.63917 \nL 130.609044 139.455417 \nL 130.93402 141.191164 \nL 131.077005 142.839074 \nL 131.04093 144.391788 \nL 130.828842 145.841851 \nL 130.443831 147.18161 \nL 129.888981 148.403123 \nL 129.167363 149.498093 \nL 128.282043 150.457853 \nL 127.236147 151.273311 \nL 126.032947 151.934947 \nL 124.67597 152.432878 \nL 123.169148 152.756864 \nL 121.517001 152.896448 \nL 119.724836 152.841085 \nL 117.798982 152.580384 \nL 115.747054 152.104327 \nL 113.57822 151.403652 \nL 111.303496 150.470263 \nL 108.93603 149.297741 \nL 106.49138 147.881932 \nL 103.987782 146.221602 \nL 101.446341 144.319144 \nL 98.89116 142.181313 \nL 96.349383 139.819944 \nL 93.851126 137.252606 \nL 91.429182 134.503105 \nL 89.118635 131.601772 \nL 86.956242 128.585493 \nL 84.979579 125.497366 \nL 83.226066 122.38593 \nL 81.731768 119.304003 \nL 80.530106 116.307072 \nL 79.650515 113.45137 \nL 79.117134 110.791668 \nL 78.94761 108.379032 \nL 79.152165 106.258654 \nL 79.732877 104.467945 \nL 80.683423 103.035095 \nL 81.989143 101.978159 \nL 83.627537 101.304811 \nL 85.569088 101.012668 \nL 87.77844 101.090172 \nL 90.215725 101.517928 \nL 92.838033 102.270292 \nL 95.600908 103.317086 \nL 98.45976 104.625298 \nL 101.371124 106.160625 \nL 104.293735 107.888824 \nL 107.189369 109.776776 \nL 110.023465 111.793261 \nL 112.765486 113.909477 \nL 115.389112 116.099303 \nL 117.872223 118.339411 \nL 120.196758 120.609172 \nL 122.348435 122.890491 \nL 124.316432 125.167581 \nL 126.092996 127.426663 \nL 127.673016 129.655672 \nL 129.053626 131.843986 \nL 130.233803 133.982134 \nL 131.213982 136.061531 \nL 131.99572 138.074284 \nL 132.581396 140.012949 \nL 132.97395 141.870378 \nL 133.176643 143.639538 \nL 133.192912 145.313378 \nL 133.0262 146.884712 \nL 132.679889 148.346086 \nL 132.157215 149.68972 \nL 131.461269 150.907396 \nL 130.59499 151.990425 \nL 129.561221 152.929583 \nL 128.362799 153.715083 \nL 127.002649 154.336589 \nL 125.483951 154.783223 \nL 123.810315 155.043675 \nL 121.985987 155.106272 \nL 120.016106 154.959186 \nL 117.906981 154.590659 \nL 115.666386 153.989323 \nL 113.303903 153.144605 \nL 110.831247 152.047232 \nL 108.262622 150.689858 \nL 105.615053 149.067735 \nL 102.908668 147.179534 \nL 100.16696 145.028182 \nL 97.416942 142.621756 \nL 94.689151 139.97434 \nL 92.01755 137.106803 \nL 89.439203 134.047381 \nL 86.993731 130.831955 \nL 84.722548 127.504034 \nL 82.667831 124.114205 \nL 80.871266 120.719103 \nL 79.372618 117.379843 \nL 78.208162 114.159949 \nL 77.409112 111.122927 \nL 77.000073 108.329535 \nL 76.997739 105.835099 \nL 77.409881 103.687 \nL 78.234723 101.922624 \nL 79.460779 100.567909 \nL 81.067174 99.636674 \nL 83.024473 99.130677 \nL 85.295842 99.040466 \nL 87.838573 99.346732 \nL 90.605754 100.022204 \nL 93.548056 101.033661 \nL 96.615433 102.344093 \nL 99.758673 103.914556 \nL 102.930764 105.705925 \nL 106.087956 107.680271 \nL 109.190568 109.801836 \nL 112.203484 112.037734 \nL 115.096426 114.358322 \nL 117.843969 116.737306 \nL 120.425406 119.151674 \nL 122.824446 121.581485 \nL 125.028824 124.009574 \nL 127.029855 126.421205 \nL 128.821949 128.803711 \nL 130.402124 131.146124 \nL 131.76952 133.438878 \nL 132.924975 135.673484 \nL 133.8706 137.842259 \nL 134.609425 139.938085 \nL 135.145092 141.954197 \nL 135.481571 143.884011 \nL 135.622955 145.720954 \nL 135.573295 147.458319 \nL 135.336459 149.089149 \nL 134.91605 150.606115 \nL 134.315365 152.001438 \nL 133.537375 153.266774 \nL 132.584769 154.393167 \nL 131.459996 155.370992 \nL 130.16538 156.189894 \nL 128.703239 156.838795 \nL 127.076062 157.305906 \nL 125.286704 157.578787 \nL 123.338631 157.644446 \nL 121.236203 157.489514 \nL 118.984981 157.100491 \nL 116.592078 156.464067 \nL 114.066534 155.567575 \nL 111.41973 154.39953 \nL 108.66579 152.950308 \nL 105.821986 151.212963 \nL 102.909137 149.184144 \nL 99.951893 146.865116 \nL 96.979007 144.262825 \nL 94.023399 141.390981 \nL 91.12208 138.271048 \nL 88.315871 134.933023 \nL 85.648806 131.415924 \nL 83.167295 127.767835 \nL 80.918941 124.045389 \nL 78.951121 120.312609 \nL 77.309253 116.639086 \nL 76.034973 113.09754 \nL 75.164216 109.760816 \nL 74.725353 106.698628 \nL 74.737626 103.974244 \nL 75.209884 101.641389 \nL 76.139855 99.741811 \nL 77.513984 98.303545 \nL 79.307852 97.34016 \nL 81.487168 96.851042 \nL 84.009272 96.822471 \nL 86.82495 97.229568 \nL 89.880515 98.038558 \nL 93.119883 99.209406 \nL 96.486626 100.698346 \nL 99.925756 102.460158 \nL 103.385241 104.450177 \nL 106.817192 106.625784 \nL 110.178718 108.947501 \nL 113.432392 111.379618 \nL 116.546454 113.890503 \nL 119.494768 116.452588 \nL 122.256542 119.042201 \nL 124.815932 121.639221 \nL 127.161531 124.226643 \nL 129.285821 126.790163 \nL 131.184565 129.317706 \nL 132.856261 131.799044 \nL 134.301576 134.225362 \nL 135.522853 136.58896 \nL 136.523651 138.882929 \nL 137.308343 141.100905 \nL 137.881777 143.236842 \nL 138.248995 145.284826 \nL 138.41499 147.238896 \nL 138.384535 149.09291 \nL 138.162036 150.840398 \nL 137.751454 152.474471 \nL 137.156246 153.987677 \nL 136.379362 155.371939 \nL 135.423263 156.618454 \nL 134.289989 157.717596 \nL 132.98124 158.658879 \nL 131.498519 159.430896 \nL 129.843305 160.021315 \nL 128.017236 160.416892 \nL 126.022377 160.603505 \nL 123.8615 160.566312 \nL 121.538416 160.28991 \nL 119.05835 159.758643 \nL 116.428359 158.956982 \nL 113.657787 157.870069 \nL 110.758757 156.484362 \nL 107.746659 154.788486 \nL 104.640652 152.774221 \nL 101.464122 150.437663 \nL 98.245082 147.780468 \nL 95.016412 144.811228 \nL 91.81601 141.546774 \nL 88.686616 138.01339 \nL 85.675429 134.247762 \nL 82.833349 130.297473 \nL 80.213853 126.22091 \nL 77.871511 122.086458 \nL 75.860109 117.970798 \nL 74.230522 113.956391 \nL 73.028401 110.128157 \nL 72.291871 106.569589 \nL 72.04934 103.358613 \nL 72.317751 100.563546 \nL 73.10131 98.239552 \nL 74.390904 96.426071 \nL 76.164285 95.145339 \nL 78.38697 94.40218 \nL 81.013796 94.185034 \nL 83.991049 94.468049 \nL 87.258852 95.213868 \nL 90.753757 96.376812 \nL 94.411227 97.90615 \nL 98.167902 99.749007 \nL 101.963578 101.853014 \nL 105.742702 104.168215 \nL 109.455459 106.648509 \nL 113.058441 109.252475 \nL 116.514924 111.943772 \nL 119.794832 114.691111 \nL 122.87442 117.468007 \nL 125.735814 120.252337 \nL 128.366385 123.025808 \nL 130.758077 125.773367 \nL 132.906708 128.482652 \nL 134.81127 131.143483 \nL 136.473293 133.747373 \nL 137.896216 136.287135 \nL 139.084862 138.756511 \nL 140.044966 141.149886 \nL 140.782748 143.462035 \nL 141.304599 145.687905 \nL 141.61679 147.822445 \nL 141.725252 149.86043 \nL 141.63541 151.796339 \nL 141.352071 153.624231 \nL 140.879344 155.337598 \nL 140.220609 156.929284 \nL 139.378516 158.391365 \nL 138.355017 159.715059 \nL 137.15145 160.890614 \nL 135.768633 161.907239 \nL 134.207004 162.753019 \nL 132.466802 163.414876 \nL 130.548274 163.878522 \nL 128.451956 164.128507 \nL 126.178947 164.148275 \nL 123.7313 163.920327 \nL 121.112414 163.426444 \nL 118.327501 162.648082 \nL 115.384107 161.566881 \nL 112.292685 160.165339 \nL 109.06719 158.427706 \nL 105.725708 156.341085 \nL 102.291042 153.896729 \nL 98.791283 151.091549 \nL 95.260242 147.929783 \nL 91.73776 144.424703 \nL 88.269699 140.600286 \nL 84.907704 136.492616 \nL 81.708496 132.150903 \nL 78.732728 127.637781 \nL 76.043391 123.028755 \nL 73.703675 118.410552 \nL 71.774467 113.878351 \nL 70.311521 109.53192 \nL 69.362558 105.470868 \nL 68.964483 101.789384 \nL 69.140983 98.571002 \nL 69.900758 95.883905 \nL 71.236585 93.777344 \nL 73.125351 92.279447 \nL 75.529028 91.396896 \nL 78.396493 91.116005 \nL 81.666126 91.405469 \nL 85.268768 92.219855 \nL 89.130916 93.503802 \nL 93.177823 95.196128 \nL 97.336322 97.233663 \nL 101.537182 99.554404 \nL 105.716963 102.099994 \nL 109.819264 104.817307 \nL 113.795471 107.659392 \nL 117.605024 110.585785 \nL 121.215275 113.562354 \nL 124.601058 116.560855 \nL 127.744037 119.558293 \nL 130.631931 122.536163 \nL 133.257665 125.479722 \nL 135.618512 128.377294 \nL 137.715255 131.2196 \nL 139.551409 133.999213 \nL 141.13252 136.710087 \nL 142.46554 139.34715 \nL 143.558271 141.906001 \nL 144.418918 144.382602 \nL 145.055712 146.773087 \nL 145.476595 149.073581 \nL 145.688979 151.280028 \nL 145.699567 153.388054 \nL 145.514217 155.392855 \nL 145.137857 157.289084 \nL 144.57444 159.070722 \nL 143.826933 160.730966 \nL 142.897333 162.262121 \nL 141.786724 163.655492 \nL 140.495363 164.901261 \nL 139.022789 165.988366 \nL 137.367967 166.904407 \nL 135.52948 167.635539 \nL 133.505744 168.166414 \nL 131.295269 168.480123 \nL 128.896998 168.558249 \nL 126.310681 168.380909 \nL 123.537302 167.926974 \nL 120.57962 167.17437 \nL 117.442729 166.100556 \nL 114.134735 164.683187 \nL 110.667466 162.901062 \nL 107.057229 160.735281 \nL 103.325629 158.170737 \nL 99.500289 155.197889 \nL 95.615576 151.814787 \nL 91.713109 148.029295 \nL 87.842039 143.861353 \nL 84.058972 139.345083 \nL 80.427453 134.530499 \nL 77.016855 129.484474 \nL 73.900644 124.290646 \nL 71.154003 119.048 \nL 68.850813 113.867893 \nL 67.060217 108.86949 \nL 65.842852 104.173927 \nL 65.247198 99.89747 \nL 65.306297 96.144549 \nL 66.035223 93.001288 \nL 67.429592 90.53038 \nL 69.465353 88.768013 \nL 72.099809 87.723028 \nL 75.273881 87.378336 \nL 78.915311 87.694438 \nL 82.942465 88.614211 \nL 87.268401 90.068456 \nL 91.804843 91.981391 \nL 96.465741 94.275628 \nL 101.170212 96.876302 \nL 105.844798 99.713986 \nL 110.42494 102.726657 \nL 114.855775 105.860598 \nL 119.092338 109.07057 \nL 123.099271 112.319399 \nL 126.850172 115.577232 \nL 130.326717 118.820549 \nL 133.517614 122.031162 \nL 136.41755 125.195224 \nL 139.026091 128.302316 \nL 141.346686 131.344649 \nL 143.385728 134.316415 \nL 145.151717 137.213223 \nL 146.654539 140.031664 \nL 147.904852 142.768966 \nL 148.913566 145.422697 \nL 149.69143 147.990571 \nL 150.248688 150.470253 \nL 150.594829 152.859236 \nL 150.738382 155.154707 \nL 150.686788 157.353432 \nL 150.446295 159.451679 \nL 150.021911 161.445094 \nL 149.417383 163.328588 \nL 148.6352 165.096256 \nL 147.676639 166.741228 \nL 146.54181 168.255553 \nL 145.229745 169.630064 \nL 143.738493 170.854218 \nL 142.065268 171.915976 \nL 140.206599 172.801619 \nL 138.158534 173.495616 \nL 135.916883 173.980514 \nL 133.477507 174.236813 \nL 130.836694 174.242956 \nL 127.991559 173.975356 \nL 124.940583 173.408524 \nL 121.684195 172.515389 \nL 118.225493 171.267803 \nL 114.571042 169.637279 \nL 110.731772 167.596079 \nL 106.723973 165.118646 \nL 102.570328 162.18345 \nL 98.300953 158.775269 \nL 93.954362 154.887873 \nL 89.578267 150.527051 \nL 85.23005 145.71373 \nL 80.97682 140.486968 \nL 76.894802 134.90648 \nL 73.068021 129.054116 \nL 69.58607 123.033883 \nL 66.540929 116.970028 \nL 64.02299 111.002853 \nL 62.116345 105.282274 \nL 60.893782 99.959454 \nL 60.411878 95.17724 \nL 60.706734 91.06047 \nL 61.790888 87.707451 \nL 63.651732 85.183592 \nL 66.251767 83.518287 \nL 69.530614 82.705144 \nL 73.408589 82.70545 \nL 77.79144 83.45414 \nL 82.575673 84.867279 \nL 87.653966 86.84993 \nL 92.920173 89.303481 \nL 98.273579 92.131769 \nL 103.622192 95.245578 \nL 108.884978 98.565662 \nL 113.99313 102.024078 \nL 118.89044 105.564533 \nL 123.533018 109.141759 \nL 127.888473 112.720401 \nL 131.934751 116.273582 \nL 135.658796 119.781457 \nL 139.055141 123.229796 \nL 142.124499 126.608708 \nL 144.872453 129.91156 \nL 147.308257 133.134114 \nL 149.443777 136.273787 \nL 151.292579 139.329123 \nL 152.869155 142.299349 \nL 154.188302 145.184081 \nL 155.264604 147.983099 \nL 156.112031 150.696154 \nL 156.743631 153.322864 \nL 157.171306 155.862607 \nL 157.405645 158.314435 \nL 157.455811 160.677019 \nL 157.329486 162.948569 \nL 157.032826 165.12676 \nL 156.570467 167.208664 \nL 155.945533 169.190645 \nL 155.159668 171.068292 \nL 154.213085 172.836266 \nL 153.104618 174.488194 \nL 151.831796 176.016509 \nL 150.390913 177.412281 \nL 148.777139 178.665044 \nL 146.984623 179.762589 \nL 145.00664 180.690743 \nL 142.835768 181.433147 \nL 140.464098 181.971025 \nL 137.88351 182.282974 \nL 135.086011 182.344796 \nL 132.064151 182.129354 \nL 128.811551 181.60656 \nL 125.323548 180.743494 \nL 121.597965 179.504729 \nL 117.636037 177.852935 \nL 113.443502 175.749875 \nL 109.03184 173.157841 \nL 104.41966 170.041697 \nL 99.63418 166.371504 \nL 94.712714 162.125934 \nL 89.704095 157.296251 \nL 84.669816 151.890846 \nL 79.684707 145.939966 \nL 74.836928 139.500216 \nL 70.226958 132.658038 \nL 65.965373 125.531535 \nL 62.169255 118.269591 \nL 58.957164 111.047681 \nL 56.442885 104.060015 \nL 54.728346 97.5082 \nL 53.896351 91.587326 \nL 54.00392 86.471155 \nL 55.077128 82.298429 \nL 57.108124 79.162383 \nL 60.054864 77.105003 \nL 63.843599 76.11695 \nL 68.373807 76.142613 \nL 73.52493 77.089407 \nL 79.164075 78.839277 \nL 85.153763 81.260812 \nL 91.359031 84.22013 \nL 97.6533 87.589721 \nL 103.922724 91.254518 \nL 110.068956 95.115409 \nL 116.010504 99.090566 \nL 121.682855 103.114934 \nL 127.037684 107.138794 \nL 132.041432 111.125577 \nL 136.673515 115.049534 \nL 140.924345 118.89348 \nL 144.793354 122.646726 \nL 148.287138 126.30337 \nL 151.417721 129.860867 \nL 154.201054 133.318957 \nL 156.65573 136.678817 \nL 158.801899 139.942487 \nL 160.660384 143.112415 \nL 162.251987 146.191194 \nL 163.596932 149.181379 \nL 164.714468 152.085343 \nL 165.622561 154.905249 \nL 166.337692 157.642991 \nL 166.874722 160.300157 \nL 167.24682 162.878059 \nL 167.465435 165.377701 \nL 167.540295 167.799781 \nL 167.479434 170.144653 \nL 167.289234 172.412338 \nL 166.974474 174.60248 \nL 166.538383 176.714294 \nL 165.982696 178.746538 \nL 165.307704 180.697432 \nL 164.512298 182.564578 \nL 163.594016 184.344876 \nL 162.549075 186.034398 \nL 161.372407 187.628261 \nL 160.057683 189.120454 \nL 158.597348 190.503668 \nL 156.982647 191.769062 \nL 155.203662 192.906023 \nL 153.249372 193.901884 \nL 151.107712 194.741588 \nL 148.765696 195.407349 \nL 146.209549 195.878253 \nL 143.424919 196.129855 \nL 140.39717 196.133759 \nL 137.111763 195.857212 \nL 133.554776 195.262794 \nL 129.713582 194.308168 \nL 125.577727 192.946086 \nL 121.140035 191.124668 \nL 116.397978 188.788148 \nL 111.355362 185.878261 \nL 106.024286 182.336433 \nL 100.427395 178.107053 \nL 94.600388 173.141967 \nL 88.594556 167.406347 \nL 82.479244 160.885888 \nL 76.343861 153.595057 \nL 70.299001 145.585714 \nL 64.476229 136.955057 \nL 59.025926 127.851319 \nL 54.112772 118.475426 \nL 49.908552 109.076751 \nL 46.582481 99.941753 \nL 44.289486 91.375271 \nL 43.157727 83.676089 \nL 43.276809 77.109673 \nL 44.688472 71.882833 \nL 47.381302 68.124496 \nL 51.290409 65.876418 \nL 56.302238 65.095157 \nL 62.263747 65.66419 \nL 68.994527 67.413334 \nL 76.300077 70.141192 \nL 83.984577 73.636818 \nL 91.861775 77.697556 \nL 99.763262 82.141661 \nL 107.543828 86.815427 \nL 115.08411 91.595631 \nL 122.290989 96.388467 \nL 129.096301 101.126322 \nL 135.454426 105.763383 \nL 141.339268 110.271128 \nL 146.741016 114.633997 \nL 151.662942 118.845733 \nL 156.118454 122.906394 \nL 160.128466 126.820036 \nL 163.719156 130.593022 \nL 166.920091 134.232816 \nL 169.762718 137.747197 \nL 172.279167 141.143734 \nL 174.501341 144.429516 \nL 176.460237 147.611012 \nL 178.185472 150.694011 \nL 179.704962 153.683641 \nL 182.22886 159.400402 \nL 184.216505 164.791444 \nL 185.821901 169.880326 \nL 187.783976 176.987023 \nL 190.642526 187.537194 \nL 191.855357 191.330068 \nL 193.201632 194.884947 \nL 194.741815 198.200123 \nL 196.539527 201.267827 \nL 197.556521 202.704251 \nL 198.664865 204.07195 \nL 199.874858 205.367048 \nL 201.197599 206.584652 \nL 202.645078 207.718652 \nL 204.23027 208.76148 \nL 205.967212 209.703839 \nL 207.871073 210.534362 \nL 209.958212 211.239243 \nL 212.246196 211.801765 \nL 214.753801 212.201787 \nL 217.500942 212.415153 \nL 220.508543 212.413029 \nL 223.798304 212.161179 \nL 227.392348 211.619219 \nL 231.31268 210.739873 \nL 235.580428 209.468303 \nL 240.214827 207.741645 \nL 245.231807 205.488888 \nL 250.642207 202.631325 \nL 256.449452 199.083881 \nL 262.646723 194.757706 \nL 269.213514 189.564452 \nL 276.111723 183.422711 \nL 283.281356 176.267 \nL 290.63619 168.059439 \nL 298.059919 158.80385 \nL 305.403515 148.561222 \nL 312.484793 137.464594 \nL 319.091213 125.730299 \nL 324.986983 113.661646 \nL 329.924975 101.641236 \nL 333.663391 90.109026 \nL 335.985794 79.526251 \nL 336.722333 70.328981 \nL 335.768587 62.878941 \nL 333.098966 57.421618 \nL 328.771633 54.060657 \nL 322.924016 52.754129 \nL 315.759625 53.332367 \nL 307.52864 55.531762 \nL 298.50574 59.036 \nL 288.968601 63.515929 \nL 279.179684 68.661705 \nL 269.372959 74.204072 \nL 259.745828 79.924832 \nL 250.455822 85.658568 \nL 241.621044 91.288237 \nL 233.323202 96.737599 \nL 225.612145 101.962505 \nL 218.511075 106.942508 \nL 212.021798 111.673579 \nL 206.129607 116.162302 \nL 200.807598 120.42143 \nL 196.020333 124.466714 \nL 191.726836 128.314755 \nL 187.882986 131.981638 \nL 184.443367 135.482125 \nL 181.36265 138.829269 \nL 178.596601 142.034266 \nL 173.840953 148.053465 \nL 169.864976 153.594492 \nL 161.652979 165.514797 \nL 158.516214 169.508459 \nL 156.894076 171.328438 \nL 155.211616 173.023472 \nL 153.451652 174.586634 \nL 151.597769 176.009524 \nL 149.634199 177.282112 \nL 147.545736 178.392536 \nL 145.317704 179.32692 \nL 142.935963 180.069189 \nL 140.386993 180.600829 \nL 137.658036 180.900741 \nL 134.73733 180.945062 \nL 131.614427 180.707105 \nL 128.280646 180.157362 \nL 124.729631 179.263692 \nL 120.958067 177.991696 \nL 116.966545 176.305408 \nL 112.760584 174.168332 \nL 108.351809 171.544961 \nL 103.759249 168.402868 \nL 99.010719 164.715356 \nL 94.144213 160.464839 \nL 89.20914 155.646734 \nL 84.267311 150.273814 \nL 79.393449 144.380659 \nL 74.674946 138.027743 \nL 70.210627 131.304433 \nL 66.108424 124.330211 \nL 62.481609 117.253282 \nL 59.443825 110.245982 \nL 57.102951 103.496723 \nL 55.554302 97.198815 \nL 54.873802 91.537149 \nL 55.111823 86.674254 \nL 56.288595 82.737772 \nL 58.39174 79.81116 \nL 61.376393 77.928901 \nL 65.16787 77.077121 \nL 69.666583 77.198831 \nL 74.754593 78.20294 \nL 80.302943 79.97522 \nL 86.17896 82.389616 \nL 92.252927 85.318334 \nL 98.403518 88.639969 \nL 104.521809 92.245116 \nL 110.513853 96.039488 \nL 116.30185 99.945121 \nL 121.824227 103.899907 \nL 127.034873 107.856138 \nL 131.901749 111.778545 \nL 136.405189 115.642077 \nL 140.536017 119.429808 \nL 144.293674 123.131003 \nL 147.684413 126.739499 \nL 150.719695 130.252368 \nL 153.414729 133.668902 \nL 155.787245 136.98981 \nL 157.856461 140.216651 \nL 159.642229 143.351424 \nL 161.164364 146.396293 \nL 162.44212 149.35339 \nL 163.493786 152.224717 \nL 164.336397 155.012042 \nL 164.985533 157.716888 \nL 165.455186 160.340479 \nL 165.757683 162.883733 \nL 165.903652 165.347244 \nL 165.902024 167.731261 \nL 165.760049 170.035679 \nL 165.483335 172.25998 \nL 165.075892 174.403198 \nL 164.540179 176.46388 \nL 163.877152 178.440014 \nL 163.086325 180.328933 \nL 162.165797 182.12722 \nL 161.11231 183.830607 \nL 159.921281 185.433823 \nL 158.586844 186.930423 \nL 157.101892 188.312617 \nL 155.458118 189.57104 \nL 153.646074 190.69451 \nL 151.655241 191.669732 \nL 149.474123 192.481009 \nL 147.090379 193.109873 \nL 144.491005 193.534744 \nL 141.662564 193.730528 \nL 138.591526 193.668267 \nL 135.264695 193.3148 \nL 131.669767 192.63252 \nL 127.796076 191.579268 \nL 123.635499 190.108474 \nL 119.183625 188.169627 \nL 114.441161 185.709254 \nL 109.415609 182.672538 \nL 104.123221 179.005804 \nL 98.591185 174.660033 \nL 92.859952 169.595513 \nL 86.985579 163.787804 \nL 81.041807 157.234707 \nL 75.121598 149.964027 \nL 69.337668 142.04127 \nL 63.8216 133.576165 \nL 58.721026 124.726573 \nL 54.194505 115.698081 \nL 50.404055 106.737801 \nL 47.505458 98.121631 \nL 45.637187 90.135243 \nL 44.908986 83.050717 \nL 45.391624 77.101941 \nL 47.109434 72.462947 \nL 50.036722 69.232824 \nL 54.098899 67.430079 \nL 59.178041 66.996955 \nL 65.122184 67.812413 \nL 71.756854 69.710575 \nL 78.897256 72.501163 \nL 86.359721 75.988504 \nL 93.971259 79.986893 \nL 101.576634 84.331008 \nL 109.042822 88.881705 \nL 116.261098 93.527665 \nL 123.147105 98.184151 \nL 129.639497 102.789885 \nL 135.697629 107.303151 \nL 141.298724 111.697682 \nL 146.434882 115.958858 \nL 151.110151 120.080431 \nL 155.337799 124.061875 \nL 159.137929 127.906347 \nL 162.535406 131.619148 \nL 165.558145 135.206651 \nL 168.23572 138.67561 \nL 170.598262 142.032668 \nL 172.675619 145.284109 \nL 174.496729 148.435703 \nL 176.089173 151.492676 \nL 177.478882 154.459715 \nL 178.689958 157.340993 \nL 180.663036 162.860759 \nL 182.163076 168.077379 \nL 183.316071 173.011645 \nL 184.609681 179.921338 \nL 186.187753 190.244608 \nL 187.367305 197.535152 \nL 188.393404 202.487713 \nL 189.205872 205.557024 \nL 190.161489 208.445435 \nL 191.299585 211.15419 \nL 192.665928 213.680699 \nL 194.314926 216.016941 \nL 196.312086 218.147118 \nL 197.465398 219.127028 \nL 198.736746 220.044122 \nL 200.138703 220.89239 \nL 201.685099 221.664345 \nL 203.391115 222.350699 \nL 205.273387 222.939996 \nL 207.350081 223.418163 \nL 209.640966 223.767975 \nL 212.167442 223.968428 \nL 214.952525 223.994009 \nL 218.020769 223.813857 \nL 221.398071 223.390817 \nL 225.111359 222.680403 \nL 229.188076 221.629722 \nL 233.655414 220.176405 \nL 238.539223 218.247691 \nL 243.862487 215.759809 \nL 249.643274 212.618008 \nL 255.892035 208.717518 \nL 262.608164 203.946082 \nL 269.775738 198.188593 \nL 277.358424 191.334646 \nL 285.293784 183.289667 \nL 293.487218 173.990073 \nL 301.806267 163.422358 \nL 310.076297 151.644919 \nL 318.078943 138.809932 \nL 325.554847 125.180805 \nL 332.21247 111.139289 \nL 337.743808 97.175813 \nL 341.846984 83.858501 \nL 344.254038 71.7807 \nL 344.759913 61.493321 \nL 343.248037 53.434635 \nL 339.706916 47.873456 \nL 334.234288 44.879692 \nL 327.027501 44.328915 \nL 318.362243 45.937652 \nL 308.5639 49.318554 \nL 297.977028 54.040774 \nL 286.937721 59.682901 \nL 275.752127 65.870868 \nL 264.68252 72.298772 \nL 253.940554 78.734809 \nL 234.032283 91.0412 \nL 216.768062 102.123321 \nL 209.198956 107.157137 \nL 202.32544 111.86644 \nL 196.116523 116.272845 \nL 190.530275 120.401298 \nL 185.517778 124.277078 \nL 181.026209 127.923972 \nL 177.001194 131.36327 \nL 173.388554 134.613314 \nL 167.191707 140.603922 \nL 162.044081 145.984267 \nL 153.574991 155.078055 \nL 149.716604 158.798654 \nL 147.785789 160.44155 \nL 145.823764 161.931485 \nL 143.810461 163.260633 \nL 141.727666 164.419654 \nL 139.558902 165.39767 \nL 137.289381 166.182222 \nL 134.906005 166.759235 \nL 132.397425 167.113037 \nL 129.754166 167.226403 \nL 126.968824 167.080677 \nL 124.036364 166.655973 \nL 120.954455 165.93152 \nL 117.723947 164.886181 \nL 114.349374 163.499097 \nL 110.839562 161.750642 \nL 107.208273 159.623594 \nL 103.474879 157.104558 \nL 99.665012 154.185695 \nL 95.81113 150.866682 \nL 91.952952 147.156819 \nL 88.137638 143.077146 \nL 84.41962 138.662406 \nL 80.860011 133.962576 \nL 77.52547 129.043677 \nL 74.486475 123.987605 \nL 71.814953 118.890619 \nL 69.58141 113.860429 \nL 67.851584 109.01181 \nL 66.682893 104.460989 \nL 66.120953 100.319207 \nL 66.196524 96.686178 \nL 66.923125 93.643998 \nL 68.295681 91.252432 \nL 70.290345 89.546021 \nL 72.865517 88.53332 \nL 75.963983 88.19831 \nL 79.515961 88.503638 \nL 83.442708 89.395089 \nL 87.660367 90.806831 \nL 92.083748 92.666566 \nL 96.629704 94.900254 \nL 101.219938 97.435978 \nL 105.78317 100.206836 \nL 110.256596 103.152758 \nL 114.586653 106.221481 \nL 118.729245 109.36876 \nL 122.649502 112.557997 \nL 126.321176 115.759606 \nL 129.725828 118.950096 \nL 132.851844 122.111125 \nL 135.69342 125.22857 \nL 138.24953 128.291676 \nL 140.522958 131.292272 \nL 142.519391 134.224157 \nL 144.246626 137.082547 \nL 145.713851 139.863643 \nL 146.931057 142.564288 \nL 147.908522 145.181688 \nL 148.656411 147.713202 \nL 149.184437 150.156142 \nL 149.501603 152.507655 \nL 149.616016 154.764574 \nL 149.534742 156.923322 \nL 149.263712 158.979794 \nL 148.807675 160.929242 \nL 148.170168 162.766195 \nL 147.353538 164.484317 \nL 146.358975 166.0763 \nL 145.186567 167.533741 \nL 143.835403 168.846986 \nL 142.303673 170.005012 \nL 140.588821 170.995275 \nL 138.687711 171.803576 \nL 136.596848 172.413945 \nL 134.31265 172.808508 \nL 134.31265 172.808508 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p54297b5f11\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.962214pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.962214\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T12:10:37.570474</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.962214 \nL 292.718955 286.962214 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 36.982889 210.861932 \nL 124.350687 136.703329 \nL 123.517247 30.226866 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.89286 216.711328 \nL 141.302151 141.630451 \nL 141.192499 34.707027 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 73.035938 222.636857 \nL 158.455946 146.616381 \nL 159.087847 39.242976 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 91.416703 228.640015 \nL 175.815714 151.662181 \nL 177.20743 43.835762 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 110.039856 234.722337 \nL 193.385189 156.768933 \nL 195.555488 48.48646 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 128.910225 240.8854 \nL 211.168192 161.93775 \nL 214.13637 53.196172 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 148.032765 247.130821 \nL 229.168642 167.16977 \nL 232.954536 57.966029 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.412565 253.460263 \nL 247.39055 172.46616 \nL 252.014561 62.797189 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 37.743697 210.216151 \nL 35.458008 212.156265 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −15 -->\n     <g transform=\"translate(18.902125 234.175476)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 55.645717 216.057172 \nL 53.383895 218.022466 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(36.830262 240.148751)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 73.780571 221.974163 \nL 71.543434 223.965128 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- −5 -->\n     <g transform=\"translate(58.17387 246.200064)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 92.152832 227.968614 \nL 89.941223 229.985757 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 0 -->\n     <g transform=\"translate(80.764914 252.330954)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 110.767192 234.042056 \nL 108.581981 236.085897 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 5 -->\n     <g transform=\"translate(99.409698 258.543001)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 129.628468 240.196061 \nL 127.470555 242.267133 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 10 -->\n     <g transform=\"translate(115.121686 264.837827)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 148.741607 246.432243 \nL 146.611918 248.531095 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 15 -->\n     <g transform=\"translate(134.268377 271.217099)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_9\">\n     <path d=\"M 168.111686 252.75226 \nL 166.01118 254.879453 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 20 -->\n     <g transform=\"translate(153.673656 277.682526)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_10\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 26.53434 91.59437 \nL 31.732176 203.976548 \nL 180.803284 252.384388 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 44.860415 78.220835 \nL 49.174878 189.355729 \nL 196.614047 236.158656 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 62.572853 65.295104 \nL 66.058571 175.203483 \nL 211.891701 220.480024 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 79.701969 52.795056 \nL 82.409703 161.49764 \nL 226.662764 205.321281 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.27611 40.700002 \nL 98.253081 148.217406 \nL 240.95202 190.656988 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 179.546956 251.976421 \nL 183.319195 253.201379 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- −20 -->\n     <g transform=\"translate(183.151229 273.428419)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 195.372553 235.764558 \nL 199.100195 236.947856 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- −10 -->\n     <g transform=\"translate(198.749965 256.962421)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 210.664764 220.099099 \nL 214.348646 221.242827 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 0 -->\n     <g transform=\"translate(221.19353 241.051945)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_14\">\n     <path d=\"M 225.450108 204.95288 \nL 229.091059 206.058989 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 10 -->\n     <g transform=\"translate(232.584679 225.669347)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_15\">\n     <path d=\"M 239.753375 190.300504 \nL 243.352213 191.370821 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 20 -->\n     <g transform=\"translate(246.681485 210.788782)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_16\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_18\">\n    <g id=\"line2d_21\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_22\">\n    <path clip-path=\"url(#p0b1d8ffffd)\" d=\"M 132.29172 193.63241 \nL 132.628187 192.729588 \nL 133.284041 192.011077 \nL 134.259365 191.369064 \nL 136.396237 190.370476 \nL 153.097684 183.415468 \nL 159.349355 180.399899 \nL 167.045443 176.311141 \nL 171.495968 173.749934 \nL 176.370276 170.773041 \nL 181.672518 167.322692 \nL 187.390959 163.340722 \nL 193.491506 158.773271 \nL 199.909934 153.577946 \nL 206.543143 147.733954 \nL 213.240241 141.255466 \nL 219.795022 134.207738 \nL 225.942182 126.724334 \nL 231.360583 119.022058 \nL 235.687271 111.408035 \nL 238.545319 104.271949 \nL 239.586272 98.056705 \nL 238.543359 93.204687 \nL 235.285588 90.084966 \nL 229.858083 88.917405 \nL 222.493342 89.717225 \nL 213.585128 92.282133 \nL 203.629238 96.230441 \nL 193.14772 101.078932 \nL 182.6183 106.333997 \nL 162.842951 116.464484 \nL 154.032705 120.82792 \nL 146.068801 124.570723 \nL 138.958965 127.686134 \nL 132.667826 130.219807 \nL 127.13518 132.245362 \nL 122.289069 133.846515 \nL 114.357641 136.096636 \nL 108.309916 137.517933 \nL 93.758242 140.695031 \nL 89.282016 141.794015 \nL 86.886674 142.150095 \nL 85.336098 142.205574 \nL 83.817342 142.088993 \nL 82.344338 141.78405 \nL 80.944263 141.282329 \nL 79.654497 140.585219 \nL 78.519077 139.705631 \nL 77.584482 138.669221 \nL 76.894823 137.514636 \nL 76.486739 136.292419 \nL 76.384556 135.062257 \nL 76.596447 133.888668 \nL 77.112246 132.835519 \nL 77.903405 131.960214 \nL 78.925105 131.308454 \nL 80.120219 130.910538 \nL 81.424344 130.77965 \nL 82.771086 130.9123 \nL 84.096785 131.290504 \nL 85.344155 131.885074 \nL 86.464615 132.659321 \nL 87.419354 133.572516 \nL 88.179358 134.582765 \nL 88.724745 135.649083 \nL 89.04373 136.732674 \nL 89.131504 137.79753 \nL 88.989237 138.810562 \nL 88.623348 139.741399 \nL 88.045109 140.56208 \nL 87.270591 141.246772 \nL 86.32094 141.77166 \nL 85.222842 142.115151 \nL 84.009106 142.258462 \nL 82.719132 142.186674 \nL 81.399037 141.89027 \nL 80.101184 141.367073 \nL 78.882829 140.624436 \nL 77.803683 139.681278 \nL 76.922362 138.569581 \nL 76.291873 137.334741 \nL 75.954593 136.03433 \nL 75.937506 134.734937 \nL 76.248522 133.507253 \nL 76.874686 132.419942 \nL 77.782788 131.533253 \nL 78.922292 130.893528 \nL 80.230169 130.529546 \nL 81.636718 130.451227 \nL 83.071361 130.650684 \nL 84.467645 131.105069 \nL 85.766902 131.780476 \nL 86.92037 132.636048 \nL 87.889974 133.627698 \nL 88.648036 134.711012 \nL 89.176321 135.843249 \nL 89.464774 136.984471 \nL 89.510252 138.097971 \nL 89.315459 139.150209 \nL 88.888205 140.11047 \nL 88.24107 140.950424 \nL 87.391443 141.643768 \nL 86.361916 142.166108 \nL 85.180911 142.495167 \nL 83.883384 142.611455 \nL 82.511416 142.499486 \nL 81.114397 142.149512 \nL 79.748515 141.559748 \nL 78.475232 140.738832 \nL 77.358524 139.708127 \nL 76.460871 138.503353 \nL 75.838142 137.17488 \nL 75.534044 135.786177 \nL 75.574881 134.410058 \nL 75.965721 133.122991 \nL 76.688781 131.99815 \nL 77.704533 131.098361 \nL 78.955442 130.470279 \nL 80.371613 130.140809 \nL 81.877343 130.116236 \nL 83.397434 130.383948 \nL 84.86241 130.916006 \nL 86.212082 131.673631 \nL 87.397463 132.611769 \nL 88.381189 133.682989 \nL 89.136892 134.840427 \nL 89.647932 136.039683 \nL 89.905909 137.23977 \nL 89.909244 138.403337 \nL 89.662042 139.496438 \nL 89.173368 140.488008 \nL 88.456958 141.349329 \nL 87.531368 142.053574 \nL 86.420508 142.575636 \nL 85.154426 142.892409 \nL 83.770177 142.983502 \nL 82.31254 142.832638 \nL 80.834293 142.429612 \nL 79.39565 141.772823 \nL 78.062592 140.872043 \nL 76.90375 139.751041 \nL 75.985871 138.449376 \nL 75.368088 137.022669 \nL 75.095699 135.540677 \nL 75.194448 134.082925 \nL 75.666488 132.732129 \nL 76.488959 131.566322 \nL 77.615668 130.651106 \nL 78.981686 130.033453 \nL 80.509917 129.738244 \nL 82.118434 129.767893 \nL 83.727298 130.104805 \nL 85.263966 130.715731 \nL 86.666781 131.556894 \nL 87.886594 132.578968 \nL 88.886832 133.731192 \nL 89.642476 134.964295 \nL 90.138495 136.232277 \nL 90.368117 137.493163 \nL 90.331258 138.709035 \nL 90.033333 139.845565 \nL 89.48453 140.871363 \nL 88.699587 141.757272 \nL 87.69807 142.475867 \nL 86.505045 143.001241 \nL 85.152052 143.309261 \nL 83.678147 143.378427 \nL 82.130785 143.191384 \nL 80.566202 142.737175 \nL 79.048846 142.014068 \nL 77.649544 141.03273 \nL 76.442032 139.819195 \nL 75.49785 138.416889 \nL 74.879912 136.886884 \nL 74.635554 135.305634 \nL 74.790241 133.759908 \nL 75.343272 132.339233 \nL 76.266549 131.12702 \nL 77.506925 130.191988 \nL 78.991698 129.581575 \nL 80.636188 129.3186 \nL 82.351929 129.40145 \nL 84.054037 129.807344 \nL 85.66679 130.49751 \nL 87.127024 131.423024 \nL 88.38543 132.530203 \nL 89.406231 133.764919 \nL 90.165767 135.075506 \nL 90.650601 136.414404 \nL 90.855534 137.738697 \nL 90.781901 139.009926 \nL 90.436307 140.193419 \nL 89.829909 141.257449 \nL 88.978277 142.172413 \nL 87.901784 142.910222 \nL 86.626446 143.444025 \nL 85.185084 143.748502 \nL 83.618592 143.800764 \nL 81.977013 143.582063 \nL 80.320047 143.080281 \nL 78.716541 142.293151 \nL 77.242506 141.231839 \nL 75.977294 139.924344 \nL 74.997886 138.417839 \nL 74.371692 136.778978 \nL 74.148753 135.091303 \nL 74.354755 133.449415 \nL 74.618769 132.676152 \nL 74.986407 131.950383 \nL 75.452562 131.282971 \nL 76.010398 130.683694 \nL 76.651553 130.160988 \nL 78.144147 129.371193 \nL 79.842405 128.94831 \nL 81.651164 128.899589 \nL 83.476761 129.207445 \nL 85.233975 129.834748 \nL 86.850571 130.731321 \nL 88.269362 131.840297 \nL 89.448227 133.103332 \nL 90.358748 134.464322 \nL 90.984095 135.871547 \nL 91.316738 137.278536 \nL 91.356369 138.643967 \nL 91.108276 139.930973 \nL 90.582322 141.106164 \nL 89.792556 142.138593 \nL 88.757439 142.998883 \nL 87.500626 143.65869 \nL 86.052195 144.090633 \nL 84.4501 144.268898 \nL 82.741652 144.170648 \nL 80.984577 143.778329 \nL 79.247231 143.082869 \nL 77.607427 142.087602 \nL 76.149347 140.812357 \nL 74.958289 139.296944 \nL 74.113372 137.602904 \nL 73.678956 135.812413 \nL 73.629633 134.911236 \nL 73.696113 134.023554 \nL 73.878791 133.162746 \nL 74.175955 132.341993 \nL 74.583799 131.573908 \nL 75.096486 130.870184 \nL 75.706323 130.241259 \nL 76.403961 129.696055 \nL 77.17868 129.241751 \nL 78.018689 128.883648 \nL 79.84403 128.467571 \nL 81.776674 128.452201 \nL 83.71624 128.815093 \nL 85.572693 129.513324 \nL 87.270942 130.490897 \nL 88.752638 131.685767 \nL 89.975794 133.035424 \nL 90.912959 134.480688 \nL 91.548689 135.967781 \nL 91.876935 137.448962 \nL 91.898727 138.882206 \nL 91.620438 140.230252 \nL 91.052699 141.459425 \nL 90.210052 142.538421 \nL 89.111262 143.437261 \nL 87.780257 144.126649 \nL 86.247547 144.577853 \nL 84.551957 144.763269 \nL 82.742365 144.657925 \nL 80.879066 144.24197 \nL 79.03422 143.504207 \nL 77.290775 142.446501 \nL 75.73925 141.088487 \nL 74.472036 139.471676 \nL 73.575322 137.661654 \nL 73.288777 136.711117 \nL 73.119454 135.747121 \nL 73.072082 134.78351 \nL 73.149293 133.834695 \nL 73.351463 132.915271 \nL 73.676634 132.039614 \nL 74.120538 131.221455 \nL 74.67667 130.473482 \nL 75.336486 129.806969 \nL 76.089649 129.231475 \nL 76.924342 128.754611 \nL 77.827615 128.381876 \nL 78.785762 128.11662 \nL 80.810267 127.911414 \nL 82.886636 128.125624 \nL 84.912355 128.720218 \nL 86.799993 129.638684 \nL 88.480284 130.815327 \nL 89.902402 132.182259 \nL 91.032275 133.67438 \nL 91.849856 135.232285 \nL 92.346072 136.80342 \nL 92.52002 138.341952 \nL 92.376705 139.807824 \nL 91.925516 141.165428 \nL 91.179485 142.38214 \nL 90.155309 143.426996 \nL 88.874105 144.269663 \nL 87.36278 144.879906 \nL 85.655884 145.22771 \nL 83.797688 145.284255 \nL 81.844143 145.024003 \nL 79.864231 144.427928 \nL 77.940005 143.487953 \nL 76.164647 142.212216 \nL 74.637867 140.630361 \nL 73.998848 139.740841 \nL 73.458402 138.797637 \nL 73.027069 137.811875 \nL 72.714006 136.796232 \nL 72.526623 135.764702 \nL 72.470289 134.732329 \nL 72.548058 133.714826 \nL 72.760498 132.728157 \nL 73.105598 131.788079 \nL 73.578763 130.909655 \nL 74.172937 130.106808 \nL 74.878789 129.391887 \nL 75.685003 128.775323 \nL 76.578646 128.265366 \nL 77.545545 127.867917 \nL 78.570735 127.586471 \nL 79.63886 127.422164 \nL 80.734584 127.373891 \nL 82.949633 127.611193 \nL 85.105733 128.254032 \nL 87.109999 129.239562 \nL 88.889909 130.495811 \nL 90.393237 131.949405 \nL 91.585882 133.530907 \nL 92.44862 135.177784 \nL 92.973601 136.835437 \nL 93.161182 138.456822 \nL 93.017419 140.001265 \nL 92.552395 141.43285 \nL 91.779409 142.718735 \nL 90.715017 143.827607 \nL 89.379873 144.728456 \nL 87.80026 145.389872 \nL 86.010181 145.780028 \nL 84.053775 145.867562 \nL 81.987693 145.623675 \nL 79.882893 145.025523 \nL 77.825151 144.061041 \nL 75.913429 142.734818 \nL 74.255288 141.074335 \nL 73.555393 140.134891 \nL 72.958964 139.135043 \nL 72.477827 138.086464 \nL 72.122366 137.002599 \nL 71.901128 135.898469 \nL 71.820448 134.790336 \nL 71.884145 133.695317 \nL 72.093302 132.630918 \nL 72.446136 131.614497 \nL 72.937986 130.66273 \nL 73.561417 129.791081 \nL 74.30645 129.013298 \nL 75.160867 128.341024 \nL 76.110618 127.783475 \nL 77.140265 127.347246 \nL 78.233484 127.036237 \nL 79.373519 126.851703 \nL 80.543645 126.792407 \nL 81.727579 126.854855 \nL 84.075916 127.3216 \nL 86.308321 128.191197 \nL 88.336273 129.388335 \nL 90.094254 130.83294 \nL 91.538083 132.447475 \nL 92.641526 134.161368 \nL 93.392285 135.912954 \nL 93.788125 137.64958 \nL 93.833642 139.326477 \nL 93.537902 140.905057 \nL 92.913035 142.350943 \nL 91.973789 143.632079 \nL 90.73798 144.717095 \nL 89.227786 145.574085 \nL 87.471749 146.169994 \nL 85.507354 146.470834 \nL 83.383874 146.442993 \nL 81.165074 146.055915 \nL 78.931086 145.28639 \nL 76.778562 144.124421 \nL 75.767022 143.39847 \nL 74.818151 142.580216 \nL 73.946956 141.675249 \nL 73.168335 140.691231 \nL 72.49666 139.637975 \nL 71.945352 138.527451 \nL 71.526398 137.373697 \nL 71.249902 136.192616 \nL 71.123623 135.001665 \nL 71.152627 133.81943 \nL 71.338976 132.6651 \nL 71.681555 131.557894 \nL 72.176031 130.516433 \nL 72.814928 129.55811 \nL 73.587852 128.698538 \nL 74.481846 127.951027 \nL 75.481816 127.32623 \nL 76.571048 126.831874 \nL 77.731756 126.472667 \nL 78.94563 126.250327 \nL 80.19435 126.163745 \nL 81.46007 126.209262 \nL 82.725804 126.381007 \nL 83.975747 126.67129 \nL 86.372242 127.570074 \nL 88.553453 128.823066 \nL 90.449005 130.342768 \nL 92.012225 132.045025 \nL 93.216168 133.853983 \nL 94.048962 135.704148 \nL 94.509366 137.54034 \nL 94.603076 139.316363 \nL 94.340017 140.992949 \nL 93.732709 142.535534 \nL 92.795664 143.912058 \nL 91.545793 145.091056 \nL 90.00372 146.040168 \nL 88.195909 146.725229 \nL 86.157496 147.110187 \nL 83.935542 147.158145 \nL 81.592335 146.833826 \nL 79.208032 146.107863 \nL 76.881725 144.962943 \nL 75.776118 144.233158 \nL 74.729731 143.401592 \nL 73.758876 142.473037 \nL 72.879994 141.45452 \nL 72.109223 140.355448 \nL 71.461905 139.187681 \nL 70.95207 137.965487 \nL 70.591896 136.705384 \nL 70.391183 135.425845 \nL 70.356873 134.146871 \nL 70.492683 132.889435 \nL 70.798829 131.674839 \nL 71.271916 130.524012 \nL 71.904963 129.456776 \nL 72.687617 128.49117 \nL 73.606497 127.642826 \nL 74.64566 126.924485 \nL 75.787175 126.345665 \nL 77.01175 125.912483 \nL 78.299354 125.627661 \nL 79.629833 125.490675 \nL 80.983461 125.498044 \nL 82.341418 125.643715 \nL 83.68616 125.919508 \nL 85.001711 126.315588 \nL 86.273831 126.820951 \nL 88.639988 128.112227 \nL 90.707092 129.697325 \nL 92.424293 131.484086 \nL 93.762835 133.389988 \nL 94.71067 135.344527 \nL 95.267325 137.289124 \nL 95.439594 139.175545 \nL 95.238383 140.96356 \nL 94.676717 142.618357 \nL 93.768912 144.10803 \nL 92.530821 145.401359 \nL 90.981099 146.465991 \nL 89.143371 147.267156 \nL 87.049234 147.767196 \nL 84.74189 147.92617 \nL 82.280053 147.703906 \nL 79.741495 147.064013 \nL 78.473556 146.578592 \nL 77.225277 145.980059 \nL 76.012312 145.268039 \nL 74.851384 144.443908 \nL 73.760031 143.511095 \nL 72.756261 142.475383 \nL 71.858127 141.345139 \nL 71.083202 140.131467 \nL 70.448008 138.84826 \nL 69.967397 137.512114 \nL 69.653929 136.142091 \nL 69.517283 134.759341 \nL 69.563745 133.386524 \nL 69.795817 132.047151 \nL 70.211977 130.764784 \nL 70.806613 129.562197 \nL 71.570167 128.460551 \nL 72.489441 127.478627 \nL 73.548085 126.632181 \nL 74.727207 125.933458 \nL 76.00607 125.390905 \nL 77.362819 125.009094 \nL 78.77521 124.788819 \nL 80.221274 124.727384 \nL 81.679892 124.819006 \nL 83.131285 125.055321 \nL 84.557357 125.425935 \nL 85.941942 125.91898 \nL 87.270932 126.52163 \nL 89.716064 128.002533 \nL 91.82035 129.763515 \nL 93.539552 131.70733 \nL 94.851703 133.749574 \nL 95.750852 135.82003 \nL 96.241448 137.861684 \nL 96.33389 139.828385 \nL 96.041381 141.68199 \nL 95.378105 143.3894 \nL 94.358625 144.919829 \nL 92.998425 146.242374 \nL 91.315498 147.324041 \nL 89.332937 148.128412 \nL 87.082425 148.61509 \nL 84.60845 148.740357 \nL 81.972867 148.459488 \nL 80.61961 148.153563 \nL 79.259099 147.731275 \nL 77.905584 147.189196 \nL 76.574856 146.525145 \nL 75.284132 145.738558 \nL 74.051858 144.830848 \nL 72.897421 143.805789 \nL 71.840738 142.669833 \nL 70.90175 141.432397 \nL 70.099815 140.106038 \nL 69.453038 138.706502 \nL 68.97754 137.252614 \nL 68.686743 135.765977 \nL 68.590691 134.270486 \nL 68.695482 132.791655 \nL 69.002834 131.355782 \nL 69.50986 129.989019 \nL 70.209061 128.716373 \nL 71.088534 127.560764 \nL 72.132408 126.542137 \nL 73.321458 125.676779 \nL 74.633862 124.976829 \nL 76.046039 124.450016 \nL 77.533492 124.099671 \nL 79.071636 123.924915 \nL 80.636528 123.921089 \nL 82.205487 124.080272 \nL 83.757586 124.391918 \nL 85.273976 124.843493 \nL 86.738108 125.421135 \nL 88.135803 126.110231 \nL 89.455241 126.895938 \nL 91.823116 128.69911 \nL 93.788886 130.72121 \nL 95.326052 132.867189 \nL 96.427154 135.05854 \nL 97.097055 137.232431 \nL 97.347517 139.339144 \nL 97.193278 141.338808 \nL 96.649589 143.198023 \nL 95.731138 144.886679 \nL 94.452201 146.375124 \nL 92.82795 147.631757 \nL 90.876837 148.621153 \nL 88.624036 149.302884 \nL 86.105854 149.631357 \nL 83.374843 149.557158 \nL 81.951716 149.353372 \nL 80.505141 149.030535 \nL 79.048507 148.583403 \nL 77.597008 148.007669 \nL 76.167631 147.30034 \nL 74.77906 146.460147 \nL 73.451459 145.487977 \nL 72.206166 144.387324 \nL 71.065246 143.164686 \nL 70.050907 141.829924 \nL 69.18482 140.396492 \nL 68.487328 138.881524 \nL 67.976605 137.305728 \nL 67.667803 135.693068 \nL 67.572253 134.070195 \nL 67.69679 132.465674 \nL 68.04325 130.908997 \nL 68.6082 129.42948 \nL 69.382937 128.055094 \nL 70.353756 126.811331 \nL 71.50249 125.720201 \nL 72.807239 124.799423 \nL 74.243286 124.06188 \nL 75.784078 123.515366 \nL 77.402236 123.162624 \nL 79.070483 123.001661 \nL 80.762491 123.02625 \nL 82.453561 123.22662 \nL 84.121134 123.590188 \nL 85.74514 124.102349 \nL 87.3082 124.747216 \nL 88.795648 125.508288 \nL 90.195478 126.369022 \nL 91.498187 127.313292 \nL 92.696558 128.325746 \nL 94.76127 130.498982 \nL 96.367499 132.788264 \nL 97.512663 135.11254 \nL 98.206185 137.408487 \nL 98.463566 139.627207 \nL 98.302186 141.730365 \nL 97.738747 143.686375 \nL 96.788175 145.466864 \nL 95.463821 147.043584 \nL 93.778858 148.385742 \nL 91.748835 149.457837 \nL 89.395373 150.218155 \nL 86.750998 150.618214 \nL 85.334274 150.666345 \nL 83.864928 150.603739 \nL 82.352757 150.423223 \nL 80.809372 150.117824 \nL 79.248353 149.681051 \nL 77.685348 149.10724 \nL 76.138107 148.391965 \nL 74.626424 147.5325 \nL 73.171964 146.528333 \nL 71.797971 145.3817 \nL 70.528803 144.098088 \nL 69.38933 142.6867 \nL 68.404179 141.160814 \nL 67.596841 139.537967 \nL 66.988695 137.839937 \nL 66.597994 136.092461 \nL 66.438888 134.32467 \nL 66.520571 132.568245 \nL 66.846608 130.856307 \nL 67.414544 129.222141 \nL 68.215831 127.697807 \nL 69.236065 126.312765 \nL 70.455577 125.092635 \nL 71.850276 124.058179 \nL 73.392698 123.224619 \nL 75.053174 122.601277 \nL 76.801022 122.191597 \nL 78.605664 121.993497 \nL 80.437616 121.999979 \nL 82.269299 122.199926 \nL 84.075644 122.579013 \nL 85.834489 123.120618 \nL 87.526777 123.806721 \nL 89.136599 124.618691 \nL 90.651095 125.537954 \nL 92.060251 126.54652 \nL 93.356632 127.627375 \nL 94.535075 128.764755 \nL 96.526894 131.153088 \nL 98.027553 133.614038 \nL 99.045483 136.072078 \nL 99.597982 138.470235 \nL 99.705514 140.765682 \nL 99.387955 142.925274 \nL 98.662528 144.921393 \nL 97.543216 146.728275 \nL 96.041466 148.318807 \nL 94.168085 149.661788 \nL 91.936362 150.719639 \nL 89.366457 151.446796 \nL 87.964231 151.669769 \nL 86.491057 151.789133 \nL 84.954104 151.796966 \nL 83.36222 151.685081 \nL 81.726165 151.445229 \nL 80.058832 151.069367 \nL 78.375424 150.549989 \nL 76.693563 149.880552 \nL 75.033342 149.055969 \nL 73.417238 148.073179 \nL 71.869892 146.931767 \nL 70.417727 145.634609 \nL 69.088378 144.188492 \nL 67.909928 142.604641 \nL 66.909968 140.899131 \nL 66.114496 139.093071 \nL 65.546727 137.212492 \nL 65.225882 135.287923 \nL 65.16605 133.353601 \nL 65.375239 131.446353 \nL 65.854679 129.604153 \nL 66.598515 127.864509 \nL 67.593878 126.262785 \nL 68.821381 124.830592 \nL 70.255979 123.594405 \nL 71.868128 122.574526 \nL 73.62515 121.784468 \nL 75.492645 121.230802 \nL 77.43589 120.913398 \nL 79.421078 120.826083 \nL 81.416374 120.957525 \nL 83.392707 121.292331 \nL 85.3243 121.812129 \nL 87.188978 122.49668 \nL 88.96824 123.32487 \nL 90.647173 124.275536 \nL 92.214217 125.328143 \nL 93.660865 126.463283 \nL 94.981283 127.663011 \nL 96.171933 128.911042 \nL 97.231176 130.192831 \nL 98.158903 131.495571 \nL 99.625016 134.120842 \nL 100.587909 136.715187 \nL 101.071615 139.226499 \nL 101.100942 141.616902 \nL 100.697951 143.857747 \nL 100.340015 144.914551 \nL 99.880196 145.925176 \nL 99.319937 146.886755 \nL 98.660433 147.796276 \nL 97.902684 148.650473 \nL 97.047587 149.445748 \nL 96.096016 150.178086 \nL 95.048952 150.842978 \nL 93.907614 151.43535 \nL 92.67363 151.949513 \nL 91.349212 152.379115 \nL 89.937376 152.71712 \nL 88.442174 152.955811 \nL 86.868949 153.086824 \nL 85.224613 153.101229 \nL 83.51793 152.989664 \nL 81.759812 152.74254 \nL 79.963578 152.350315 \nL 78.145207 151.803873 \nL 76.323509 151.094999 \nL 74.520207 150.216936 \nL 72.759907 149.16506 \nL 71.069889 147.93762 \nL 69.479699 146.536525 \nL 68.020543 144.968119 \nL 66.724396 143.243879 \nL 65.622913 141.380962 \nL 64.746124 139.402493 \nL 64.121004 137.337505 \nL 63.769985 135.220485 \nL 63.709572 133.090466 \nL 63.949154 130.989663 \nL 64.490156 128.961755 \nL 65.325651 127.049902 \nL 66.440466 125.29466 \nL 67.811811 123.732048 \nL 69.410371 122.391858 \nL 71.201754 121.296424 \nL 73.148161 120.45996 \nL 75.210126 119.888429 \nL 77.348175 119.579995 \nL 79.524291 119.525853 \nL 81.703101 119.711434 \nL 83.852748 120.117746 \nL 85.945434 120.722725 \nL 87.957674 121.502568 \nL 89.870298 122.432866 \nL 91.66827 123.489564 \nL 93.340348 124.649674 \nL 94.878669 125.891799 \nL 96.278291 127.196447 \nL 97.536715 128.5462 \nL 98.653426 129.925749 \nL 99.629465 131.321818 \nL 100.467045 132.723053 \nL 101.1692 134.119832 \nL 102.181815 136.8691 \nL 102.698129 139.519991 \nL 102.747965 142.038134 \nL 102.606069 143.239461 \nL 102.356529 144.398809 \nL 102.001488 145.513811 \nL 101.542663 146.582135 \nL 100.981372 147.601391 \nL 100.318563 148.569002 \nL 99.554883 149.482125 \nL 98.690747 150.337548 \nL 97.726436 151.131587 \nL 96.662212 151.860011 \nL 95.498454 152.517956 \nL 94.235828 153.09985 \nL 92.875468 153.599349 \nL 91.419204 154.009275 \nL 89.869806 154.321604 \nL 88.231264 154.527445 \nL 86.509101 154.617098 \nL 84.710699 154.580129 \nL 82.845656 154.405542 \nL 80.92613 154.082012 \nL 78.967181 153.59823 \nL 76.987061 152.943362 \nL 75.007433 152.107641 \nL 73.053475 151.083072 \nL 71.153809 149.864277 \nL 69.340239 148.449432 \nL 67.647206 146.841241 \nL 66.110968 145.04792 \nL 64.768472 143.084032 \nL 63.655917 140.971113 \nL 62.807105 138.737954 \nL 62.25162 136.420383 \nL 62.013016 134.060535 \nL 62.107172 131.705504 \nL 62.540974 129.405466 \nL 63.311493 127.21136 \nL 64.405796 125.17234 \nL 65.801414 123.333203 \nL 67.467432 121.732115 \nL 69.366134 120.398808 \nL 71.454988 119.353431 \nL 73.688776 118.606144 \nL 76.02173 118.157442 \nL 78.409405 117.999082 \nL 80.810248 118.115465 \nL 83.18676 118.485299 \nL 85.506228 119.083293 \nL 87.741103 119.881867 \nL 89.869023 120.852578 \nL 91.872587 121.967351 \nL 93.738961 123.199399 \nL 95.459356 124.523888 \nL 97.028462 125.91832 \nL 98.443862 127.362738 \nL 99.705474 128.83976 \nL 100.815027 130.334484 \nL 101.775596 131.834319 \nL 102.591191 133.328762 \nL 103.266411 134.809167 \nL 103.806154 136.268481 \nL 104.215374 137.701011 \nL 104.498891 139.102182 \nL 104.661248 140.468326 \nL 104.706589 141.796492 \nL 104.638593 143.084261 \nL 104.460412 144.329596 \nL 104.174646 145.530689 \nL 103.783336 146.685832 \nL 103.287977 147.793307 \nL 102.689546 148.851256 \nL 101.988546 149.857588 \nL 101.185073 150.809869 \nL 100.278885 151.705233 \nL 99.269511 152.54027 \nL 98.156362 153.310941 \nL 96.938873 154.012478 \nL 95.616677 154.639291 \nL 94.189796 155.184879 \nL 92.658882 155.641759 \nL 91.025478 156.001397 \nL 89.292333 156.254187 \nL 87.463744 156.389431 \nL 85.545947 156.395413 \nL 83.54753 156.259508 \nL 81.479872 155.968402 \nL 79.357585 155.508413 \nL 77.198924 154.865955 \nL 75.02614 154.028153 \nL 72.865714 152.983633 \nL 70.748434 151.723486 \nL 68.70924 150.242387 \nL 66.786741 148.539827 \nL 65.022413 146.621372 \nL 63.459374 144.499871 \nL 62.14076 142.196428 \nL 61.107754 139.741008 \nL 60.397353 137.172472 \nL 60.040047 134.537937 \nL 60.057621 131.89136 \nL 60.461316 129.291362 \nL 61.250608 126.798402 \nL 62.412738 124.471562 \nL 63.923131 122.36524 \nL 65.746664 120.526123 \nL 67.83966 118.990734 \nL 70.15239 117.783903 \nL 72.631774 116.918115 \nL 75.224094 116.393933 \nL 77.877359 116.201146 \nL 80.543275 116.320591 \nL 83.178646 116.726272 \nL 85.746257 117.387593 \nL 88.215234 118.271439 \nL 90.561014 119.344036 \nL 92.764986 120.572402 \nL 94.813932 121.925451 \nL 96.699348 123.374728 \nL 98.416708 124.894817 \nL 99.964744 126.463511 \nL 101.344753 128.061775 \nL 102.559984 129.673576 \nL 103.615086 131.28563 \nL 104.515638 132.887111 \nL 105.267756 134.469321 \nL 105.877766 136.025383 \nL 106.351947 137.549944 \nL 106.696324 139.038903 \nL 106.916507 140.489164 \nL 107.017577 141.898407 \nL 107.004007 143.264904 \nL 106.879604 144.587346 \nL 106.64748 145.86469 \nL 106.310048 147.096016 \nL 105.869023 148.280417 \nL 105.325453 149.416884 \nL 104.67975 150.504195 \nL 103.931745 151.540815 \nL 103.080751 152.524797 \nL 102.125642 153.453682 \nL 101.064953 154.324402 \nL 99.896996 155.133163 \nL 98.620002 155.875346 \nL 97.232289 156.545388 \nL 95.73247 157.13668 \nL 94.119681 157.641446 \nL 92.393887 158.050659 \nL 90.5562 158.353951 \nL 88.609274 158.539567 \nL 86.557746 158.594367 \nL 84.408726 158.503885 \nL 82.172347 158.252487 \nL 79.862314 157.823666 \nL 77.496482 157.200473 \nL 75.097383 156.366152 \nL 72.69265 155.304995 \nL 70.315301 154.003425 \nL 68.003751 152.451335 \nL 65.801487 150.643617 \nL 63.756303 148.581823 \nL 61.919038 146.275845 \nL 60.341742 143.74541 \nL 59.075318 141.021179 \nL 58.166741 138.14522 \nL 57.656028 135.170597 \nL 57.573262 132.159921 \nL 57.935983 129.182838 \nL 58.74729 126.312529 \nL 59.994972 123.621564 \nL 61.651796 121.177489 \nL 63.676989 119.038672 \nL 66.018765 117.250961 \nL 68.617546 115.845439 \nL 71.409545 114.837524 \nL 74.330289 114.227461 \nL 77.317726 114.001908 \nL 80.314725 114.136375 \nL 83.270818 114.598084 \nL 86.143215 115.348907 \nL 88.897136 116.348132 \nL 91.505639 117.554752 \nL 93.949047 118.929318 \nL 96.214136 120.435207 \nL 98.29322 122.039437 \nL 100.183185 123.713064 \nL 101.884576 125.431266 \nL 103.400749 127.173189 \nL 104.73712 128.921657 \nL 105.900529 130.662793 \nL 106.898693 132.385598 \nL 107.739766 134.081533 \nL 108.431985 135.74413 \nL 108.983384 137.368618 \nL 109.693612 140.490788 \nL 109.923799 143.432541 \nL 109.715167 146.188722 \nL 109.095514 148.759041 \nL 108.079194 151.143946 \nL 106.667907 153.341294 \nL 105.811561 154.367523 \nL 104.852126 155.343372 \nL 103.786998 156.266509 \nL 102.613175 157.133853 \nL 101.327384 157.94147 \nL 99.926222 158.684426 \nL 98.406341 159.356661 \nL 96.764664 159.950846 \nL 94.998656 160.458225 \nL 93.106649 160.868484 \nL 91.08823 161.169614 \nL 88.944705 161.347796 \nL 86.679637 161.38736 \nL 84.299467 161.270803 \nL 81.814209 160.978914 \nL 79.23819 160.49106 \nL 76.590833 159.785676 \nL 73.897406 158.840999 \nL 71.18967 157.636112 \nL 68.506354 156.152334 \nL 65.893296 154.374967 \nL 63.403135 152.295362 \nL 61.094411 149.913205 \nL 59.029918 147.238892 \nL 57.274301 144.295671 \nL 55.890846 141.121258 \nL 54.937642 137.768539 \nL 54.463418 134.304988 \nL 54.503454 130.810558 \nL 55.076105 127.373987 \nL 56.180435 124.087737 \nL 57.795401 121.04203 \nL 59.880776 118.318737 \nL 62.379733 115.985833 \nL 65.222809 114.093254 \nL 68.332655 112.670561 \nL 71.629 111.726619 \nL 75.033247 111.251151 \nL 78.472266 111.217722 \nL 81.881128 111.587602 \nL 85.204754 112.313901 \nL 88.398555 113.345528 \nL 91.42828 114.630556 \nL 94.269265 116.11893 \nL 96.905336 117.764295 \nL 99.327527 119.525191 \nL 101.532783 121.365585 \nL 103.522708 123.254968 \nL 105.302435 125.168098 \nL 106.879648 127.084566 \nL 108.263751 128.988241 \nL 109.465182 130.866674 \nL 110.494862 132.71052 \nL 111.363763 134.513012 \nL 112.661431 137.976862 \nL 113.43616 141.238662 \nL 113.752697 144.295375 \nL 113.660269 147.153025 \nL 113.192077 149.821595 \nL 112.365746 152.31149 \nL 111.18427 154.630881 \nL 109.637188 156.783475 \nL 107.701943 158.76624 \nL 105.345558 160.566725 \nL 103.996842 161.391326 \nL 102.526998 162.159645 \nL 100.930235 162.865781 \nL 99.200827 163.502406 \nL 97.333368 164.060553 \nL 95.323099 164.52941 \nL 93.166303 164.896079 \nL 90.860811 165.145363 \nL 88.406612 165.25958 \nL 85.80658 165.218423 \nL 83.067329 164.998927 \nL 80.200197 164.575587 \nL 77.222326 163.920692 \nL 74.157801 163.004972 \nL 71.038785 161.798609 \nL 67.906503 160.272777 \nL 64.811954 158.401698 \nL 61.816125 156.165286 \nL 58.989453 153.552323 \nL 56.41034 150.564011 \nL 54.162468 147.217529 \nL 52.330836 143.549211 \nL 50.996606 139.616647 \nL 50.231089 135.49908 \nL 50.089458 131.295546 \nL 50.605006 127.120435 \nL 51.784873 123.096573 \nL 53.607992 119.346518 \nL 56.025817 115.98315 \nL 58.965765 113.100929 \nL 62.33696 110.7691 \nL 66.037372 109.027869 \nL 69.961273 107.887795 \nL 74.006081 107.33228 \nL 78.077827 107.322277 \nL 82.094891 107.802359 \nL 85.989999 108.707025 \nL 89.710693 109.966575 \nL 93.218644 111.511882 \nL 96.488208 113.277957 \nL 99.504598 115.206269 \nL 102.261913 117.245917 \nL 104.761253 119.354023 \nL 107.009005 121.49545 \nL 109.015363 123.642168 \nL 110.793096 125.772413 \nL 112.356544 127.869764 \nL 113.720837 129.922257 \nL 114.901277 131.921543 \nL 116.770041 135.740981 \nL 118.074152 139.308741 \nL 118.9091 142.627382 \nL 119.351962 145.711311 \nL 119.461161 148.580475 \nL 119.277466 151.2565 \nL 118.825477 153.760441 \nL 118.11513 156.111377 \nL 117.142993 158.325535 \nL 115.893213 160.415526 \nL 114.33811 162.389447 \nL 112.438514 164.249586 \nL 110.144017 165.990425 \nL 107.393498 167.595572 \nL 104.116466 169.033199 \nL 102.25663 169.673457 \nL 100.236186 170.249469 \nL 98.045604 170.749588 \nL 95.67603 171.159512 \nL 93.119839 171.461882 \nL 90.371336 171.635838 \nL 87.42765 171.656614 \nL 84.289863 171.495181 \nL 80.964365 171.118024 \nL 77.464477 170.487164 \nL 73.812296 169.560522 \nL 70.040696 168.292837 \nL 66.195383 166.6373 \nL 62.33672 164.548132 \nL 58.54108 161.98426 \nL 54.901208 158.914196 \nL 51.52512 155.321984 \nL 48.533006 151.213847 \nL 46.05171 146.62475 \nL 44.206682 141.623756 \nL 43.111774 136.316692 \nL 42.857909 130.844758 \nL 43.502186 125.377975 \nL 45.059426 120.103525 \nL 47.497991 115.209923 \nL 50.741046 110.869593 \nL 54.673319 107.222644 \nL 59.152197 104.364933 \nL 64.021131 102.342306 \nL 69.122993 101.151457 \nL 74.311408 100.746562 \nL 79.458814 101.04961 \nL 84.460945 101.962225 \nL 89.238072 103.376922 \nL 93.733825 105.186483 \nL 97.912481 107.290767 \nL 101.755517 109.600975 \nL 105.258042 112.041667 \nL 108.425474 114.551124 \nL 111.270658 117.080535 \nL 113.811493 119.592586 \nL 116.069054 122.059723 \nL 118.066142 124.462411 \nL 119.826201 126.787515 \nL 122.727708 131.176114 \nL 124.949361 135.199932 \nL 126.646599 138.867213 \nL 127.951029 142.2025 \nL 129.402112 146.650275 \nL 132.978277 158.637172 \nL 133.713121 160.242437 \nL 134.557538 161.691437 \nL 135.545065 162.982924 \nL 136.712935 164.110683 \nL 138.103782 165.062744 \nL 139.767336 165.820191 \nL 141.762024 166.355403 \nL 144.156408 166.629663 \nL 147.030136 166.589963 \nL 150.473882 166.165006 \nL 154.587263 165.260524 \nL 159.473055 163.754608 \nL 162.235779 162.729632 \nL 165.224999 161.49469 \nL 168.447331 160.026258 \nL 171.905193 158.299739 \nL 175.595172 156.29033 \nL 179.506028 153.974317 \nL 183.616354 151.330972 \nL 187.891924 148.345106 \nL 192.282899 145.010387 \nL 196.721076 141.333426 \nL 201.117598 137.338463 \nL 205.361671 133.072308 \nL 209.320968 128.60884 \nL 212.844528 124.052099 \nL 215.768897 119.536633 \nL 217.927961 115.223717 \nL 219.166358 111.292306 \nL 219.355468 107.924381 \nL 218.409903 105.285749 \nL 216.301653 103.505017 \nL 213.068533 102.654824 \nL 208.814549 102.739947 \nL 203.70111 103.695624 \nL 197.930429 105.397153 \nL 191.724328 107.678625 \nL 185.30263 110.356281 \nL 178.864992 113.251273 \nL 166.57221 119.10224 \nL 139.361988 132.458181 \nL 133.60987 135.458766 \nL 129.129295 138.048622 \nL 125.640043 140.396953 \nL 122.88879 142.617672 \nL 120.658754 144.776465 \nL 118.769691 146.903901 \nL 112.020434 155.08832 \nL 110.052653 156.981746 \nL 107.818479 158.77103 \nL 105.249914 160.425648 \nL 102.281547 161.905425 \nL 98.851763 163.155727 \nL 96.946563 163.672341 \nL 94.906884 164.101447 \nL 92.728597 164.429323 \nL 90.409396 164.640098 \nL 87.949371 164.715575 \nL 85.35172 164.635124 \nL 82.623571 164.375677 \nL 79.776925 163.911886 \nL 76.829688 163.216502 \nL 73.806733 162.261082 \nL 70.740932 161.017052 \nL 67.674046 159.457277 \nL 64.657258 157.558133 \nL 61.751237 155.302119 \nL 59.025434 152.680951 \nL 56.556434 149.698924 \nL 54.425139 146.37622 \nL 52.712816 142.751718 \nL 51.496022 138.884683 \nL 50.840837 134.854781 \nL 50.796983 130.759868 \nL 51.392576 126.711382 \nL 52.630403 122.827529 \nL 54.486356 119.224898 \nL 56.910494 116.009634 \nL 59.830617 113.269419 \nL 63.157884 111.067382 \nL 66.793609 109.438895 \nL 70.636272 108.391327 \nL 74.587859 107.906636 \nL 78.558886 107.945962 \nL 82.471788 108.45537 \nL 86.262703 109.371764 \nL 89.881847 110.628341 \nL 93.292829 112.159049 \nL 96.471284 113.901844 \nL 99.403132 115.800843 \nL 102.08273 117.807424 \nL 104.511095 119.880538 \nL 106.694282 121.986485 \nL 108.641985 124.098299 \nL 110.366366 126.19497 \nL 111.881104 128.26058 \nL 113.200633 130.283465 \nL 114.339561 132.255428 \nL 116.132364 136.027155 \nL 117.365708 139.555938 \nL 118.130445 142.843253 \nL 118.499484 145.902201 \nL 118.527444 148.751352 \nL 118.251529 151.410944 \nL 117.692857 153.900556 \nL 116.857852 156.237642 \nL 115.739438 158.436443 \nL 114.317939 160.507006 \nL 112.561719 162.45394 \nL 110.427686 164.274649 \nL 107.861944 165.956707 \nL 104.801059 167.473949 \nL 101.174729 168.780861 \nL 99.126893 169.334067 \nL 96.91107 169.804821 \nL 94.519627 170.178158 \nL 91.946418 170.436055 \nL 89.187534 170.557049 \nL 86.24223 170.515891 \nL 83.114074 170.28328 \nL 79.812312 169.825785 \nL 76.353457 169.106004 \nL 72.763056 168.083152 \nL 69.077552 166.714201 \nL 65.346077 164.955745 \nL 61.631963 162.766821 \nL 58.013592 160.11272 \nL 54.584207 156.969873 \nL 51.450167 153.331568 \nL 48.727271 149.214013 \nL 46.534798 144.661987 \nL 44.987385 139.752868 \nL 44.185241 134.597802 \nL 44.203806 129.338817 \nL 45.084423 124.141246 \nL 46.827764 119.181762 \nL 49.391474 114.63334 \nL 52.692847 110.649551 \nL 56.616176 107.350745 \nL 61.023587 104.814665 \nL 65.767346 103.072774 \nL 70.70171 102.112461 \nL 75.692614 101.883936 \nL 80.624339 102.310033 \nL 85.403006 103.296906 \nL 89.957298 104.743992 \nL 94.237135 106.55207 \nL 98.211094 108.629103 \nL 101.863268 110.893767 \nL 105.190033 113.277082 \nL 108.197063 115.722576 \nL 110.896745 118.18553 \nL 113.306041 120.631647 \nL 115.444787 123.035506 \nL 117.334381 125.378987 \nL 118.996782 127.649823 \nL 121.726541 131.946276 \nL 123.798344 135.900104 \nL 125.357094 139.518312 \nL 126.524962 142.823604 \nL 127.401688 145.844977 \nL 128.340072 149.909965 \nL 129.349538 155.659358 \nL 130.460727 162.060437 \nL 131.241682 165.027675 \nL 132.003283 166.957166 \nL 132.631697 168.103846 \nL 133.384651 169.135405 \nL 134.29133 170.045397 \nL 135.386943 170.823443 \nL 136.71418 171.45417 \nL 138.324852 171.915678 \nL 140.281663 172.177439 \nL 142.660002 172.197394 \nL 145.549485 171.918077 \nL 149.054655 171.261583 \nL 153.293791 170.123373 \nL 158.393891 168.365408 \nL 161.306121 167.200193 \nL 164.478589 165.810235 \nL 167.922266 164.166992 \nL 171.643884 162.239928 \nL 175.644 159.997373 \nL 179.914543 157.407925 \nL 184.435871 154.442608 \nL 189.173304 151.077935 \nL 194.073312 147.300062 \nL 199.059598 143.110116 \nL 204.029567 138.530566 \nL 208.851923 133.612215 \nL 213.366371 128.440993 \nL 217.386675 123.143066 \nL 220.708193 117.886329 \nL 223.120849 112.876066 \nL 224.427469 108.342779 \nL 224.466098 104.521483 \nL 223.133307 101.623968 \nL 220.403743 99.80833 \nL 216.341073 99.152488 \nL 211.096292 99.638906 \nL 204.892563 101.155712 \nL 197.9992 103.514809 \nL 190.700609 106.482298 \nL 183.266839 109.813352 \nL 168.877554 116.708122 \nL 150.48087 125.635708 \nL 136.843095 131.985829 \nL 127.333859 136.41478 \nL 122.718628 138.768595 \nL 119.095157 140.882933 \nL 116.179752 142.878646 \nL 113.736685 144.818186 \nL 109.53572 148.593051 \nL 106.443314 151.285383 \nL 104.214828 152.96282 \nL 101.760232 154.502359 \nL 99.015755 155.857549 \nL 95.931123 156.971637 \nL 92.472085 157.774451 \nL 90.597165 158.032749 \nL 88.626087 158.179291 \nL 86.562185 158.200342 \nL 84.411514 158.081064 \nL 82.183314 157.805659 \nL 79.890515 157.357667 \nL 77.550248 156.720397 \nL 75.184299 155.877537 \nL 72.819482 154.813993 \nL 70.487839 153.516939 \nL 68.226608 151.977097 \nL 66.077851 150.190193 \nL 64.08766 148.158522 \nL 62.304891 145.892506 \nL 60.779379 143.412063 \nL 59.559658 140.747599 \nL 58.690294 137.940355 \nL 58.209028 135.041949 \nL 58.143978 132.112927 \nL 58.511201 129.220326 \nL 59.312962 126.434333 \nL 60.536948 123.824373 \nL 62.156589 121.454934 \nL 64.132473 119.381712 \nL 66.414741 117.648455 \nL 68.946137 116.28488 \nL 71.665373 115.305853 \nL 74.510453 114.711825 \nL 77.421617 114.490303 \nL 80.343708 114.618148 \nL 83.227856 115.064244 \nL 86.032455 115.792274 \nL 88.72352 116.763305 \nL 91.274544 117.938015 \nL 93.665996 119.278418 \nL 95.884568 120.74913 \nL 97.922303 122.318164 \nL 99.775702 123.957322 \nL 101.444839 125.642324 \nL 102.932561 127.352678 \nL 104.243758 129.071413 \nL 105.384749 130.784738 \nL 106.362751 132.481653 \nL 107.185444 134.153548 \nL 107.860624 135.793835 \nL 108.395925 137.39759 \nL 108.798599 138.961243 \nL 109.232275 141.9591 \nL 109.207038 144.776241 \nL 108.755851 147.408821 \nL 107.898629 149.85559 \nL 106.642655 152.11417 \nL 105.864231 153.171055 \nL 104.983747 154.177885 \nL 103.999192 155.132659 \nL 102.908116 156.032706 \nL 101.707739 156.874589 \nL 100.395079 157.653982 \nL 98.967118 158.365545 \nL 97.420991 159.002787 \nL 95.754229 159.557926 \nL 95.754229 159.557926 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p0b1d8ffffd\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,0], result_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:25: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n  self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_train_coeffs = {\"sigma\": 20*torch.rand(()), \"rho\": 20*torch.rand(()), \"beta\": 20*torch.rand(())} # Start with arbitrary values\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {
+    "tags": [
+     "outputPrepend"
+    ]
+   },
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      ":\n",
+      "tensor(15.8942, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.8835, requires_grad=True)}\n",
+      "Epoch: 24\t Loss: tensor(301.9414, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(13.4083, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.8125, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.7852, requires_grad=True)}\n",
+      "Epoch: 25\t Loss: tensor(300.2483, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(13.4956, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.7324, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.6870, requires_grad=True)}\n",
+      "Epoch: 26\t Loss: tensor(298.5752, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(13.5821, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.6541, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.5889, requires_grad=True)}\n",
+      "Epoch: 27\t Loss: tensor(296.9215, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(13.6676, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.5775, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.4909, requires_grad=True)}\n",
+      "Epoch: 28\t Loss: tensor(295.2867, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(13.7524, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.5028, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.3931, requires_grad=True)}\n",
+      "Epoch: 29\t Loss: tensor(293.6703, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(13.8362, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.4300, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.2953, requires_grad=True)}\n",
+      "Epoch: 30\t Loss: tensor(292.0717, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(13.9192, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.3592, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.1976, requires_grad=True)}\n",
+      "Epoch: 31\t Loss: tensor(290.4902, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.0013, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.2904, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.1001, requires_grad=True)}\n",
+      "Epoch: 32\t Loss: tensor(288.9252, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.0826, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.2239, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.0026, requires_grad=True)}\n",
+      "Epoch: 33\t Loss: tensor(287.3758, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.1630, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.1595, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.9052, requires_grad=True)}\n",
+      "Epoch: 34\t Loss: tensor(285.8413, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.2425, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.0974, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.8079, requires_grad=True)}\n",
+      "Epoch: 35\t Loss: tensor(284.3210, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.3212, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.0377, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.7107, requires_grad=True)}\n",
+      "Epoch: 36\t Loss: tensor(282.8141, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.3991, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.9804, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.6136, requires_grad=True)}\n",
+      "Epoch: 37\t Loss: tensor(281.3195, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.4761, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.9256, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.5166, requires_grad=True)}\n",
+      "Epoch: 38\t Loss: tensor(279.8366, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.5524, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.8734, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.4196, requires_grad=True)}\n",
+      "Epoch: 39\t Loss: tensor(278.3644, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.6278, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.8239, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.3227, requires_grad=True)}\n",
+      "Epoch: 40\t Loss: tensor(276.9018, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.7026, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.7771, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.2258, requires_grad=True)}\n",
+      "Epoch: 41\t Loss: tensor(275.4480, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.7765, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.7330, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.1290, requires_grad=True)}\n",
+      "Epoch: 42\t Loss: tensor(274.0018, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.8498, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.6918, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.0322, requires_grad=True)}\n",
+      "Epoch: 43\t Loss: tensor(272.5623, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.9224, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.6535, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.9355, requires_grad=True)}\n",
+      "Epoch: 44\t Loss: tensor(271.1285, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.9943, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.6181, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.8387, requires_grad=True)}\n",
+      "Epoch: 45\t Loss: tensor(269.6992, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.0656, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.5858, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.7420, requires_grad=True)}\n",
+      "Epoch: 46\t Loss: tensor(268.2733, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.1363, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.5565, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.6453, requires_grad=True)}\n",
+      "Epoch: 47\t Loss: tensor(266.8497, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.2064, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.5303, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.5486, requires_grad=True)}\n",
+      "Epoch: 48\t Loss: tensor(265.4273, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.2761, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.5073, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.4519, requires_grad=True)}\n",
+      "Epoch: 49\t Loss: tensor(264.0049, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.3452, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.4875, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.3551, requires_grad=True)}\n",
+      "Epoch: 50\t Loss: tensor(262.5814, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.4140, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.4710, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.2583, requires_grad=True)}\n",
+      "Epoch: 51\t Loss: tensor(261.1555, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.4823, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.4578, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.1614, requires_grad=True)}\n",
+      "Epoch: 52\t Loss: tensor(259.7262, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.5503, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.4478, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.0644, requires_grad=True)}\n",
+      "Epoch: 53\t Loss: tensor(258.2922, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.6180, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.4412, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.9674, requires_grad=True)}\n",
+      "Epoch: 54\t Loss: tensor(256.8523, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.6855, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.4380, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.8703, requires_grad=True)}\n",
+      "Epoch: 55\t Loss: tensor(255.4054, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.7528, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.4382, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.7731, requires_grad=True)}\n",
+      "Epoch: 56\t Loss: tensor(253.9503, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.8199, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.4417, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.6757, requires_grad=True)}\n",
+      "Epoch: 57\t Loss: tensor(252.4858, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.8870, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.4487, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.5782, requires_grad=True)}\n",
+      "Epoch: 58\t Loss: tensor(251.0108, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.9541, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.4591, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.4806, requires_grad=True)}\n",
+      "Epoch: 59\t Loss: tensor(249.5241, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.0213, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.4729, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.3828, requires_grad=True)}\n",
+      "Epoch: 60\t Loss: tensor(248.0247, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.0886, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.4900, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.2848, requires_grad=True)}\n",
+      "Epoch: 61\t Loss: tensor(246.5114, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.1562, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.5106, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.1867, requires_grad=True)}\n",
+      "Epoch: 62\t Loss: tensor(244.9831, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.2240, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.5345, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.0883, requires_grad=True)}\n",
+      "Epoch: 63\t Loss: tensor(243.4391, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.2922, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.5618, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.9897, requires_grad=True)}\n",
+      "Epoch: 64\t Loss: tensor(241.8782, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.3610, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.5924, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.8909, requires_grad=True)}\n",
+      "Epoch: 65\t Loss: tensor(240.2998, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.4304, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.6263, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.7918, requires_grad=True)}\n",
+      "Epoch: 66\t Loss: tensor(238.7030, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.5005, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.6633, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.6924, requires_grad=True)}\n",
+      "Epoch: 67\t Loss: tensor(237.0871, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.5715, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.7036, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.5928, requires_grad=True)}\n",
+      "Epoch: 68\t Loss: tensor(235.4519, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.6435, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.7470, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.4930, requires_grad=True)}\n",
+      "Epoch: 69\t Loss: tensor(233.7971, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.7168, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.7935, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.3928, requires_grad=True)}\n",
+      "Epoch: 70\t Loss: tensor(232.1226, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.7916, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.8429, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.2924, requires_grad=True)}\n",
+      "Epoch: 71\t Loss: tensor(230.4284, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.8680, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.8952, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.1917, requires_grad=True)}\n",
+      "Epoch: 72\t Loss: tensor(228.7146, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.9464, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.9502, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.0907, requires_grad=True)}\n",
+      "Epoch: 73\t Loss: tensor(226.9818, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.0271, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.0079, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.9894, requires_grad=True)}\n",
+      "Epoch: 74\t Loss: tensor(225.2312, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.1104, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.0681, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.8878, requires_grad=True)}\n",
+      "Epoch: 75\t Loss: tensor(223.4612, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.1965, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.1306, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.7859, requires_grad=True)}\n",
+      "Epoch: 76\t Loss: tensor(221.6657, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.2854, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.1953, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.6837, requires_grad=True)}\n",
+      "Epoch: 77\t Loss: tensor(219.8401, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.3771, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.2619, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.5811, requires_grad=True)}\n",
+      "Epoch: 78\t Loss: tensor(217.9906, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.4721, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.3303, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.4781, requires_grad=True)}\n",
+      "Epoch: 79\t Loss: tensor(216.1263, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.5707, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.4000, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.3747, requires_grad=True)}\n",
+      "Epoch: 80\t Loss: tensor(214.3090, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.6775, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.4695, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.2717, requires_grad=True)}\n",
+      "Epoch: 81\t Loss: tensor(212.7480, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.7979, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.5348, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.1702, requires_grad=True)}\n",
+      "Epoch: 82\t Loss: tensor(211.5908, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.9368, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.5596, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.0810, requires_grad=True)}\n",
+      "Epoch: 83\t Loss: tensor(89.2156, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.8993, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.6518, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.9624, requires_grad=True)}\n",
+      "Epoch: 84\t Loss: tensor(83.5118, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.8621, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.7448, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.8501, requires_grad=True)}\n",
+      "Epoch: 85\t Loss: tensor(81.7634, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.8252, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.8372, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.7435, requires_grad=True)}\n",
+      "Epoch: 86\t Loss: tensor(80.1878, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.7927, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.9307, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.6440, requires_grad=True)}\n",
+      "Epoch: 87\t Loss: tensor(79.0457, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.7719, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.0269, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5544, requires_grad=True)}\n",
+      "Epoch: 88\t Loss: tensor(78.4015, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.7692, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.1259, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.4769, requires_grad=True)}\n",
+      "Epoch: 89\t Loss: tensor(77.9929, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.7852, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.2262, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.4112, requires_grad=True)}\n",
+      "Epoch: 90\t Loss: tensor(77.5531, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.8164, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.3255, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.3542, requires_grad=True)}\n",
+      "Epoch: 91\t Loss: tensor(76.9851, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.8570, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.4218, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.3020, requires_grad=True)}\n",
+      "Epoch: 92\t Loss: tensor(76.2551, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.8996, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.5134, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.2499, requires_grad=True)}\n",
+      "Epoch: 93\t Loss: tensor(75.2696, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.9360, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.5994, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.1932, requires_grad=True)}\n",
+      "Epoch: 94\t Loss: tensor(73.8892, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.9602, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.6803, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.1299, requires_grad=True)}\n",
+      "Epoch: 95\t Loss: tensor(72.4045, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.9804, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.7593, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.0662, requires_grad=True)}\n",
+      "Epoch: 96\t Loss: tensor(72.0286, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.0215, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.8387, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.0181, requires_grad=True)}\n",
+      "Epoch: 97\t Loss: tensor(72.7292, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.0955, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.9173, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.9952, requires_grad=True)}\n",
+      "Epoch: 98\t Loss: tensor(72.9855, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.1983, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.9935, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.9975, requires_grad=True)}\n",
+      "Epoch: 99\t Loss: tensor(72.1948, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.3234, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(17.0670, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.0223, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit(\n",
+    "    result,\n",
+    "    torch.optim.Adam,\n",
+    "    {\"lr\": 0.1},\n",
+    "    max_epochs=100,\n",
+    "    # scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    # scheduler_params={\"milestones\": [10,50],\"gamma\": 0.5}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'sigma': Parameter containing:\n",
+       " tensor(18.3234, requires_grad=True),\n",
+       " 'rho': Parameter containing:\n",
+       " tensor(17.0670, requires_grad=True),\n",
+       " 'beta': Parameter containing:\n",
+       " tensor(3.0223, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 53
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs\n",
+    "\n",
+    "# \"beta\" is close. \"sigma\" and \"rho\" are far off. This poses a problem when predicting for larger time scales."
+   ]
+  },
+  {
+   "source": [
+    "# Re-calculate using 4th Order Runge-Kutta"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_test = ode_solver_train(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 8.1677e-01,  1.7067e-01,  0.0000e+00],\n",
+       "        [ 6.9838e-01,  3.0836e-01,  1.3940e-03],\n",
+       "        ...,\n",
+       "        [-6.1749e+00, -7.1516e+00,  1.2449e+01],\n",
+       "        [-6.3539e+00, -7.3652e+00,  1.2515e+01],\n",
+       "        [-6.5392e+00, -7.5808e+00,  1.2604e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 55
+    }
+   ],
+   "source": [
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "<ipython-input-56-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T13:21:26.092339</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"maa394c0fd3\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"63.367914\" xlink:href=\"#maa394c0fd3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(52.81557 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"121.765257\" xlink:href=\"#maa394c0fd3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(114.394164 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"180.162601\" xlink:href=\"#maa394c0fd3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(176.981351 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"238.559944\" xlink:href=\"#maa394c0fd3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(235.378694 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"296.957287\" xlink:href=\"#maa394c0fd3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(290.594787 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"355.35463\" xlink:href=\"#maa394c0fd3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(348.99213 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m5f1004d53e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5f1004d53e\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5f1004d53e\" y=\"221.142244\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 5 -->\n      <g transform=\"translate(13.5625 224.941463)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5f1004d53e\" y=\"181.068489\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 184.867707)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5f1004d53e\" y=\"140.994733\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 15 -->\n      <g transform=\"translate(7.2 144.793952)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5f1004d53e\" y=\"100.920977\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 104.720196)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5f1004d53e\" y=\"60.847222\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 25 -->\n      <g transform=\"translate(7.2 64.64644)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5f1004d53e\" y=\"20.773466\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 24.572685)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pb35b92d22f)\" d=\"M 191.842069 261.216 \nL 186.917325 261.143974 \nL 187.011926 261.117294 \nL 190.587329 260.829477 \nL 195.273191 260.36725 \nL 200.238585 259.702788 \nL 204.432571 258.996765 \nL 209.493187 257.966314 \nL 215.584892 256.464676 \nL 222.895606 254.28178 \nL 227.072223 252.846123 \nL 231.632104 251.12029 \nL 236.602129 249.048683 \nL 242.008256 246.566447 \nL 247.874333 243.598588 \nL 254.220503 240.059315 \nL 261.061107 235.851841 \nL 268.401948 230.868921 \nL 276.23685 224.994503 \nL 284.543374 218.107037 \nL 293.277658 210.084994 \nL 302.368438 200.815324 \nL 311.710444 190.205461 \nL 321.157497 178.199278 \nL 330.516256 164.796926 \nL 339.541509 150.07752 \nL 347.934924 134.222251 \nL 355.349005 117.533767 \nL 361.398688 100.445875 \nL 365.68223 83.516538 \nL 367.812273 67.398036 \nL 367.455576 52.781412 \nL 364.377332 40.31916 \nL 358.482875 30.538601 \nL 349.8476 23.764964 \nL 338.726545 20.075113 \nL 325.538445 19.296 \nL 310.825286 21.048768 \nL 295.194667 24.825097 \nL 279.256829 30.073603 \nL 263.568513 36.27482 \nL 248.592537 42.991115 \nL 234.676671 49.888683 \nL 222.050396 56.736629 \nL 210.835073 63.392067 \nL 201.061942 69.779326 \nL 192.693105 75.8693 \nL 185.642007 81.662066 \nL 179.791356 87.173859 \nL 175.007639 92.428143 \nL 171.152143 97.450051 \nL 168.088821 102.263322 \nL 165.689521 106.888794 \nL 163.837155 111.343969 \nL 162.427285 115.643142 \nL 161.368598 119.797761 \nL 160.582604 123.816923 \nL 160.002822 127.707873 \nL 159.249299 135.126969 \nL 157.522898 157.631508 \nL 156.725305 163.137431 \nL 155.670486 168.247788 \nL 154.321608 172.963743 \nL 153.526643 175.172773 \nL 152.645904 177.281176 \nL 151.675147 179.287401 \nL 150.6099 181.189401 \nL 149.445405 182.984544 \nL 148.176578 184.669568 \nL 146.797997 186.240506 \nL 145.303888 187.692581 \nL 143.688131 189.02012 \nL 141.944282 190.216467 \nL 140.065614 191.273856 \nL 138.04517 192.183291 \nL 135.87584 192.934444 \nL 133.55046 193.515523 \nL 131.061953 193.913121 \nL 128.403488 194.112141 \nL 125.568696 194.095685 \nL 122.551935 193.844964 \nL 119.348607 193.339288 \nL 115.955541 192.556108 \nL 112.371463 191.471111 \nL 108.597541 190.058484 \nL 104.638021 188.291293 \nL 100.500948 186.142043 \nL 96.198988 183.583539 \nL 91.750324 180.589939 \nL 87.179606 177.13819 \nL 82.518905 173.209809 \nL 77.808684 168.792989 \nL 73.098585 163.885061 \nL 68.448031 158.495227 \nL 63.926505 152.647367 \nL 59.613301 146.382755 \nL 55.596646 139.762385 \nL 51.971963 132.868464 \nL 48.83924 125.804697 \nL 46.299394 118.694947 \nL 44.449627 111.679854 \nL 43.378034 104.911461 \nL 43.157727 98.545756 \nL 43.840946 92.733774 \nL 45.453877 87.612074 \nL 47.992699 83.293609 \nL 51.421603 79.860319 \nL 55.673056 77.358293 \nL 60.650644 75.796336 \nL 66.23415 75.147941 \nL 72.286483 75.356271 \nL 78.661618 76.341254 \nL 85.212774 78.007696 \nL 91.799873 80.253269 \nL 98.295771 82.975458 \nL 104.590755 86.077037 \nL 110.595182 89.46971 \nL 116.240428 93.076156 \nL 121.478287 96.83067 \nL 126.279315 100.678863 \nL 130.630406 104.576647 \nL 134.532013 108.488907 \nL 137.995256 112.388128 \nL 141.039172 116.252998 \nL 143.688231 120.067193 \nL 145.97021 123.818344 \nL 147.91443 127.497143 \nL 149.550379 131.096663 \nL 150.906666 134.611777 \nL 152.010293 138.038762 \nL 152.886157 141.374934 \nL 153.556756 144.618391 \nL 154.04207 147.767804 \nL 154.359546 150.822254 \nL 154.524157 153.781099 \nL 154.548536 156.643881 \nL 154.443131 159.410218 \nL 154.216372 162.079721 \nL 153.874863 164.651952 \nL 153.423543 167.126332 \nL 152.865857 169.502096 \nL 152.203912 171.778227 \nL 151.438603 173.953404 \nL 150.569749 176.025936 \nL 149.596191 177.993707 \nL 148.515893 179.854095 \nL 147.32603 181.603906 \nL 146.023062 183.239301 \nL 144.602811 184.755718 \nL 143.060534 186.14776 \nL 141.390987 187.409115 \nL 139.588511 188.53246 \nL 137.647114 189.509332 \nL 135.560567 190.330026 \nL 133.322527 190.983489 \nL 130.926677 191.4572 \nL 128.366898 191.737058 \nL 125.637464 191.807324 \nL 122.733313 191.650526 \nL 119.65033 191.247456 \nL 116.385712 190.577208 \nL 112.938402 189.617281 \nL 109.309586 188.343796 \nL 105.503275 186.731851 \nL 101.526963 184.756046 \nL 97.392363 182.391213 \nL 93.116233 179.613372 \nL 88.721223 176.401016 \nL 84.236749 172.736671 \nL 79.699863 168.608781 \nL 75.155993 164.013899 \nL 70.659496 158.959078 \nL 66.273947 153.464446 \nL 62.072016 147.565634 \nL 58.134689 141.315965 \nL 54.549903 134.787936 \nL 51.410275 128.073705 \nL 48.80998 121.284231 \nL 46.840765 114.546687 \nL 45.587159 108.000031 \nL 45.121273 101.788785 \nL 45.497439 96.055394 \nL 46.747302 90.931706 \nL 48.87593 86.530661 \nL 51.859387 82.939014 \nL 55.644385 80.212178 \nL 60.150072 78.371816 \nL 65.271992 77.406462 \nL 70.887744 77.275009 \nL 76.863946 77.912352 \nL 83.063573 79.236322 \nL 89.353032 81.154969 \nL 95.608274 83.573207 \nL 101.719579 86.398384 \nL 107.594661 89.544265 \nL 113.160224 92.933651 \nL 118.362045 96.499525 \nL 123.163902 100.185263 \nL 127.545713 103.944074 \nL 131.501157 107.737998 \nL 135.035096 111.536692 \nL 138.160999 115.316216 \nL 140.898558 119.057904 \nL 143.271585 122.747297 \nL 145.306213 126.373279 \nL 147.029453 129.927366 \nL 148.46807 133.403116 \nL 149.647753 136.795659 \nL 150.592522 140.101342 \nL 151.32436 143.317421 \nL 151.863008 146.441831 \nL 152.225875 149.473014 \nL 152.428051 152.409762 \nL 152.482387 155.25109 \nL 152.39962 157.996132 \nL 152.188508 160.644064 \nL 151.855999 163.194023 \nL 151.40738 165.645029 \nL 150.846441 167.995913 \nL 150.175622 170.24527 \nL 149.396142 172.391386 \nL 148.508121 174.43216 \nL 147.510705 176.365054 \nL 146.402149 178.187018 \nL 145.179929 179.894415 \nL 143.840813 181.48294 \nL 142.380952 182.947542 \nL 140.795959 184.28232 \nL 139.080998 185.480456 \nL 137.230866 186.534076 \nL 135.240107 187.434193 \nL 133.103117 188.17058 \nL 130.814296 188.731663 \nL 128.368184 189.10445 \nL 125.759691 189.274456 \nL 122.984301 189.22563 \nL 120.038358 188.940361 \nL 116.919398 188.399486 \nL 113.626528 187.582423 \nL 110.16089 186.467341 \nL 106.52617 185.031471 \nL 102.729204 183.251576 \nL 98.780615 181.104573 \nL 94.695565 178.568412 \nL 90.494502 175.623126 \nL 86.203959 172.252244 \nL 81.857295 168.444401 \nL 77.495405 164.19524 \nL 73.167253 159.509545 \nL 68.930157 154.403468 \nL 64.849724 148.906741 \nL 60.999309 143.064667 \nL 57.458888 136.939616 \nL 54.313223 130.611686 \nL 51.649261 124.178275 \nL 49.552756 117.752248 \nL 48.104183 111.458514 \nL 47.374194 105.428984 \nL 47.418804 99.796211 \nL 48.274891 94.686022 \nL 49.956312 90.210071 \nL 52.451282 86.458935 \nL 55.721318 83.496681 \nL 59.702086 81.357734 \nL 64.306147 80.046177 \nL 69.42742 79.537688 \nL 74.946926 79.783701 \nL 80.739244 80.716952 \nL 86.678979 82.257844 \nL 92.646699 84.320661 \nL 98.533822 86.818958 \nL 104.246177 89.669938 \nL 109.706142 92.797444 \nL 114.853429 96.13377 \nL 119.644683 99.620335 \nL 124.052235 103.207672 \nL 128.062218 106.854796 \nL 131.67236 110.52829 \nL 134.889684 114.201248 \nL 137.728252 117.852271 \nL 140.207119 121.464449 \nL 142.348531 125.024513 \nL 144.176433 128.522116 \nL 145.715252 131.9492 \nL 146.988973 135.299513 \nL 148.020457 138.568201 \nL 148.830957 141.751497 \nL 149.439827 144.846449 \nL 149.864365 147.850712 \nL 150.119743 150.76239 \nL 150.219048 153.579877 \nL 150.173336 156.30176 \nL 149.991758 158.926693 \nL 149.681684 161.453339 \nL 149.248848 163.880268 \nL 148.697488 166.205883 \nL 148.030484 168.428365 \nL 147.249492 170.545581 \nL 146.355061 172.555032 \nL 145.346754 174.453775 \nL 144.223253 176.238363 \nL 142.98246 177.904745 \nL 141.621583 179.448205 \nL 140.137239 180.863269 \nL 138.525542 182.143641 \nL 136.7822 183.282081 \nL 134.902624 184.270335 \nL 132.882036 185.099039 \nL 130.715615 185.75763 \nL 128.398642 186.234277 \nL 125.926684 186.515793 \nL 123.295803 186.587619 \nL 120.502825 186.433779 \nL 117.54561 186.036938 \nL 114.42342 185.378469 \nL 111.13731 184.438629 \nL 107.690602 183.196826 \nL 104.089387 181.632003 \nL 100.343122 179.723209 \nL 96.465269 177.45028 \nL 92.473953 174.794819 \nL 88.392679 171.741317 \nL 84.250995 168.278584 \nL 80.085118 164.401346 \nL 75.938444 160.112095 \nL 71.861842 155.422999 \nL 67.913688 150.357898 \nL 64.159465 144.954085 \nL 60.670938 139.263749 \nL 57.524705 133.354833 \nL 54.800094 127.310963 \nL 52.5764 121.230299 \nL 50.929486 115.223042 \nL 49.927864 109.407544 \nL 49.628553 103.905184 \nL 50.072942 98.834251 \nL 51.283108 94.303421 \nL 53.258984 90.405408 \nL 55.976822 87.211541 \nL 59.389107 84.768018 \nL 63.426202 83.094084 \nL 67.999554 82.182586 \nL 73.006225 82.002476 \nL 78.334249 82.503015 \nL 83.868413 83.61893 \nL 89.495793 85.275911 \nL 95.110621 87.395779 \nL 100.618163 89.900924 \nL 105.937389 92.717693 \nL 111.002402 95.77867 \nL 115.762797 99.024023 \nL 120.18303 102.401959 \nL 124.241153 105.868529 \nL 127.927048 109.387121 \nL 131.240446 112.927649 \nL 134.188917 116.465655 \nL 136.785912 119.981433 \nL 139.049006 123.459224 \nL 140.998369 126.886476 \nL 142.655489 130.253207 \nL 144.042146 133.551499 \nL 145.179628 136.775068 \nL 146.088154 139.9189 \nL 146.786474 142.978961 \nL 147.291612 145.951977 \nL 147.618745 148.835221 \nL 147.781143 151.626361 \nL 147.790195 154.323334 \nL 147.655482 156.924221 \nL 147.38486 159.427141 \nL 146.98459 161.830177 \nL 146.459453 164.131272 \nL 145.812883 166.328179 \nL 145.047084 168.41836 \nL 144.163159 170.398934 \nL 143.16122 172.266591 \nL 142.040501 174.017517 \nL 140.799462 175.647317 \nL 139.43589 177.150962 \nL 137.946996 178.522665 \nL 136.329532 179.755846 \nL 134.579883 180.843007 \nL 132.694192 181.775692 \nL 130.668494 182.54438 \nL 128.498855 183.13843 \nL 126.181548 183.546018 \nL 123.713232 183.754096 \nL 121.091205 183.748371 \nL 118.313643 183.513342 \nL 115.379919 183.032377 \nL 112.290954 182.287827 \nL 109.049616 181.261264 \nL 105.661178 179.933809 \nL 102.133811 178.286566 \nL 98.47916 176.301246 \nL 94.712902 173.960917 \nL 90.855375 171.250989 \nL 86.932171 168.160355 \nL 82.9747 164.68277 \nL 79.020643 160.818366 \nL 75.114302 156.575342 \nL 71.306659 151.971632 \nL 67.65521 147.036546 \nL 64.223344 141.812155 \nL 61.07925 136.354249 \nL 58.294358 130.73259 \nL 55.941113 125.030384 \nL 54.090243 119.342608 \nL 52.807544 113.773245 \nL 52.150289 108.431352 \nL 52.163621 103.426168 \nL 52.877103 98.86163 \nL 54.301839 94.830712 \nL 56.428485 91.410309 \nL 59.226453 88.656996 \nL 62.644497 86.604482 \nL 66.612678 85.262718 \nL 71.045609 84.61897 \nL 75.846742 84.640433 \nL 80.913159 85.278158 \nL 86.140604 86.471501 \nL 91.428118 88.152879 \nL 96.682078 90.252019 \nL 101.819285 92.699562 \nL 106.769032 95.429868 \nL 111.474158 98.382813 \nL 115.891144 101.504831 \nL 119.989483 104.749328 \nL 123.750478 108.076481 \nL 127.165698 111.452797 \nL 130.235232 114.850469 \nL 132.965947 118.246627 \nL 135.369797 121.622592 \nL 137.46232 124.963198 \nL 139.261301 128.256185 \nL 140.785673 131.491616 \nL 142.054633 134.661467 \nL 143.086949 137.759202 \nL 143.900457 140.779485 \nL 144.511702 143.717908 \nL 144.935722 146.570746 \nL 145.185907 149.334805 \nL 145.273967 152.007265 \nL 145.209935 154.585527 \nL 145.002224 157.067123 \nL 144.657707 159.449605 \nL 144.181824 161.730437 \nL 143.578676 163.906944 \nL 142.85116 165.976197 \nL 142.001063 167.934957 \nL 141.029186 169.779607 \nL 139.935456 171.506051 \nL 138.71903 173.109649 \nL 137.378403 174.585166 \nL 135.911516 175.926655 \nL 134.315872 177.12742 \nL 132.588645 178.179917 \nL 130.726815 179.0757 \nL 128.727298 179.805345 \nL 126.587108 180.358419 \nL 124.303528 180.723409 \nL 121.874319 180.887728 \nL 119.297944 180.837733 \nL 116.57384 180.558769 \nL 113.702709 180.035268 \nL 110.686884 179.250942 \nL 107.530693 178.189013 \nL 104.240903 176.832596 \nL 100.827187 175.16516 \nL 97.302626 173.171149 \nL 93.684247 170.836759 \nL 89.993524 168.150869 \nL 86.2569 165.106149 \nL 82.506207 161.700314 \nL 78.779028 157.937522 \nL 75.118858 153.829818 \nL 71.575028 149.398559 \nL 68.202374 144.67574 \nL 65.060496 139.704998 \nL 62.212616 134.542183 \nL 59.72395 129.255292 \nL 57.659569 123.92361 \nL 56.081857 118.635894 \nL 55.047612 113.487655 \nL 54.604882 108.577464 \nL 54.789902 104.002577 \nL 55.624225 99.854149 \nL 57.112506 96.212528 \nL 59.241067 93.143005 \nL 61.97754 90.692542 \nL 65.271691 88.887905 \nL 69.057369 87.73521 \nL 73.255569 87.221049 \nL 77.778142 87.314865 \nL 82.532082 87.972356 \nL 87.423715 89.139283 \nL 92.362714 90.755448 \nL 97.265457 92.758233 \nL 102.057608 95.085729 \nL 106.675854 97.679018 \nL 111.068759 100.483771 \nL 115.19686 103.451223 \nL 119.032103 106.538494 \nL 122.556842 109.708574 \nL 125.762515 112.929973 \nL 128.648148 116.176182 \nL 131.21886 119.425142 \nL 133.484398 122.658556 \nL 135.457818 125.86135 \nL 137.154318 129.021127 \nL 138.590262 132.127675 \nL 139.782375 135.17257 \nL 140.747126 138.14885 \nL 141.500252 141.050675 \nL 142.056432 143.873116 \nL 142.429051 146.611921 \nL 142.630088 149.263346 \nL 142.670044 151.824013 \nL 142.557947 154.290765 \nL 142.301382 156.660559 \nL 141.906564 158.930362 \nL 141.378412 161.097047 \nL 140.720652 163.157334 \nL 139.935921 165.107671 \nL 139.025866 166.944188 \nL 137.991255 168.662614 \nL 136.832089 170.258187 \nL 135.547711 171.725602 \nL 134.136906 173.05892 \nL 132.598034 174.251529 \nL 130.929144 175.296047 \nL 129.128102 176.184286 \nL 127.192737 176.907197 \nL 125.120993 177.45482 \nL 122.911116 177.816272 \nL 120.561841 177.97975 \nL 118.072641 177.932552 \nL 115.443954 177.661163 \nL 112.677485 177.151375 \nL 109.776536 176.388465 \nL 106.746366 175.357469 \nL 103.594563 174.043535 \nL 100.331494 172.432393 \nL 96.970741 170.510949 \nL 93.529546 168.26799 \nL 90.029273 165.695078 \nL 86.495807 162.787513 \nL 82.959919 159.545477 \nL 79.45748 155.975224 \nL 76.029534 152.090334 \nL 72.722195 147.912884 \nL 69.586199 143.474509 \nL 66.676189 138.817156 \nL 64.049607 133.993459 \nL 61.765186 129.066483 \nL 59.881035 124.108888 \nL 58.452356 119.201189 \nL 57.528915 114.429314 \nL 57.15237 109.881408 \nL 57.35363 105.644056 \nL 58.150483 101.798248 \nL 59.54578 98.415389 \nL 61.526278 95.553769 \nL 64.062394 93.255838 \nL 67.108983 91.546546 \nL 70.607011 90.432985 \nL 74.486118 89.905235 \nL 78.667856 89.938285 \nL 83.069243 90.49476 \nL 87.606402 91.528125 \nL 92.197971 92.985963 \nL 96.768061 94.813087 \nL 101.248553 96.954189 \nL 105.580698 99.355948 \nL 109.715988 101.96856 \nL 113.616364 104.746683 \nL 117.253856 107.649915 \nL 120.609826 110.642865 \nL 123.673885 113.694961 \nL 126.442671 116.780137 \nL 128.91855 119.876321 \nL 131.108361 122.964967 \nL 133.022252 126.030531 \nL 134.672602 129.060032 \nL 136.073157 132.042618 \nL 137.238257 134.969201 \nL 138.182251 137.832113 \nL 138.91904 140.624843 \nL 139.461734 143.341788 \nL 139.822409 145.978049 \nL 140.011974 148.529253 \nL 140.040076 150.991419 \nL 139.915086 153.3608 \nL 139.644103 155.633775 \nL 139.233009 157.806758 \nL 138.686526 159.87608 \nL 138.008299 161.837927 \nL 137.200999 163.688234 \nL 136.266403 165.422619 \nL 135.205514 167.036315 \nL 134.018649 168.524084 \nL 132.70557 169.880172 \nL 131.265585 171.098219 \nL 129.697671 172.171223 \nL 128.000606 173.091481 \nL 126.17311 173.850546 \nL 124.213998 174.439199 \nL 122.122349 174.847429 \nL 119.897703 175.06445 \nL 117.540258 175.078751 \nL 115.051113 174.87814 \nL 112.432546 174.449892 \nL 109.688292 173.780921 \nL 106.823861 172.858027 \nL 103.846898 171.668215 \nL 100.767552 170.199126 \nL 97.598858 168.439563 \nL 94.357135 166.380124 \nL 91.062355 164.013945 \nL 87.738492 161.337571 \nL 84.413805 158.351905 \nL 81.121013 155.063244 \nL 77.897345 151.484307 \nL 74.784405 147.635235 \nL 71.827792 143.544462 \nL 69.076494 139.249364 \nL 66.58188 134.796535 \nL 64.396446 130.241635 \nL 62.572186 125.648663 \nL 61.1587 121.088604 \nL 60.200997 116.637388 \nL 59.737261 112.373299 \nL 59.796617 108.373888 \nL 60.397044 104.712578 \nL 61.543788 101.455271 \nL 63.228216 98.65732 \nL 65.427506 96.36101 \nL 68.105024 94.593903 \nL 71.211615 93.368166 \nL 74.687545 92.680958 \nL 78.465104 92.515706 \nL 82.471511 92.844146 \nL 86.632064 93.628824 \nL 90.873058 94.825851 \nL 95.12451 96.387579 \nL 99.322326 98.264981 \nL 103.40995 100.409691 \nL 107.339369 102.775556 \nL 111.071588 105.319698 \nL 114.576539 108.003134 \nL 117.832642 110.791087 \nL 120.826011 113.652983 \nL 123.549491 116.562283 \nL 126.001595 119.49615 \nL 128.185414 122.435077 \nL 130.107553 125.362461 \nL 131.777189 128.264225 \nL 133.205217 131.12843 \nL 134.403526 133.944938 \nL 135.384391 136.705092 \nL 136.160003 139.401446 \nL 136.742107 142.027533 \nL 137.141726 144.577659 \nL 137.368977 147.046719 \nL 137.432962 149.43005 \nL 137.341705 151.72328 \nL 137.102134 153.922228 \nL 136.720106 156.022774 \nL 136.200444 158.020775 \nL 135.547003 159.911981 \nL 134.762754 161.691937 \nL 133.849861 163.355919 \nL 132.809781 164.898859 \nL 131.643372 166.315276 \nL 130.350988 167.599225 \nL 128.932607 168.744224 \nL 127.387943 169.743216 \nL 125.716586 170.588537 \nL 123.91815 171.271871 \nL 121.992414 171.784258 \nL 119.939505 172.116091 \nL 117.760086 172.257151 \nL 115.455571 172.196661 \nL 113.028356 171.923399 \nL 110.482066 171.425856 \nL 107.821846 170.69242 \nL 105.054653 169.711664 \nL 102.189581 168.47269 \nL 99.238181 166.965567 \nL 96.214816 165.181843 \nL 93.136961 163.11518 \nL 90.025519 160.762041 \nL 86.905055 158.122494 \nL 83.803988 155.201063 \nL 80.754648 152.007586 \nL 77.79319 148.558077 \nL 74.959345 144.875495 \nL 72.295928 140.990338 \nL 69.848152 136.941015 \nL 67.662584 132.773822 \nL 65.785896 128.542555 \nL 64.263331 124.307587 \nL 63.136959 120.134425 \nL 62.443805 116.091737 \nL 62.213897 112.24894 \nL 62.468477 108.673512 \nL 63.218392 105.428128 \nL 64.462976 102.567899 \nL 66.189329 100.138012 \nL 68.372324 98.171838 \nL 70.975236 96.689908 \nL 73.951063 95.69956 \nL 77.244345 95.195474 \nL 80.793454 95.160925 \nL 84.533164 95.569591 \nL 88.397201 96.38764 \nL 92.320728 97.576045 \nL 96.242512 99.092722 \nL 100.106687 100.894516 \nL 103.864024 102.938836 \nL 107.472724 105.184913 \nL 110.898748 107.594668 \nL 114.115732 110.133276 \nL 117.104557 112.769414 \nL 119.852709 115.475291 \nL 122.353443 118.226525 \nL 124.6049 121.001897 \nL 126.609185 123.783062 \nL 128.371493 126.55423 \nL 129.899281 129.301825 \nL 131.201573 132.014154 \nL 132.288314 134.681157 \nL 133.169858 137.294097 \nL 133.856555 139.845355 \nL 134.358438 142.328196 \nL 134.684971 144.736598 \nL 134.844891 147.065087 \nL 134.846088 149.308588 \nL 134.695558 151.462294 \nL 134.39938 153.521573 \nL 133.962729 155.481846 \nL 133.38992 157.338496 \nL 132.684452 159.086801 \nL 131.849088 160.721829 \nL 130.885938 162.238391 \nL 129.796546 163.630969 \nL 128.581992 164.893661 \nL 127.243005 166.020132 \nL 125.78008 167.003563 \nL 124.193609 167.836631 \nL 122.484002 168.511495 \nL 120.651862 169.01977 \nL 118.698129 169.352567 \nL 116.62428 169.500521 \nL 114.432508 169.453873 \nL 112.125956 169.202571 \nL 109.708932 168.736427 \nL 107.187174 168.045305 \nL 104.568116 167.119399 \nL 101.861165 165.949552 \nL 99.077994 164.527662 \nL 96.23281 162.847147 \nL 93.342632 160.903506 \nL 90.427532 158.694928 \nL 87.510817 156.222994 \nL 84.619141 153.493368 \nL 81.782523 150.516546 \nL 79.034221 147.308554 \nL 76.410468 143.891529 \nL 73.950016 140.294187 \nL 71.693452 136.552062 \nL 69.682278 132.707416 \nL 67.95783 128.808853 \nL 66.559915 124.910442 \nL 65.525346 121.070474 \nL 64.886324 117.349789 \nL 64.668836 113.809735 \nL 64.891147 110.5099 \nL 65.562493 107.505759 \nL 66.682114 104.846369 \nL 68.238741 102.572393 \nL 70.21054 100.714527 \nL 72.565645 99.292538 \nL 75.263234 98.314924 \nL 78.255022 97.779285 \nL 81.487154 97.673194 \nL 84.902324 97.975646 \nL 88.441944 98.658711 \nL 92.048232 99.689432 \nL 95.666088 101.031624 \nL 99.244664 102.647544 \nL 102.738526 104.499386 \nL 106.108452 106.550387 \nL 109.321816 108.765738 \nL 112.352611 111.113122 \nL 115.181221 113.563035 \nL 117.793913 116.088954 \nL 120.182228 118.667262 \nL 122.342221 121.277138 \nL 124.273733 123.900313 \nL 125.979608 126.520859 \nL 127.464999 129.124879 \nL 128.736721 131.700298 \nL 129.802672 134.236567 \nL 130.671374 136.724438 \nL 131.351563 139.155747 \nL 131.851867 141.523217 \nL 132.180583 143.820307 \nL 132.345493 146.041016 \nL 132.353724 148.179779 \nL 132.21171 150.231337 \nL 131.92513 152.190609 \nL 131.498918 154.05261 \nL 130.937286 155.812349 \nL 130.243759 157.464774 \nL 129.421243 159.004672 \nL 128.4721 160.426608 \nL 127.398235 161.724888 \nL 126.201173 162.893482 \nL 124.882196 163.926007 \nL 123.442423 164.815675 \nL 121.882974 165.555295 \nL 120.205067 166.13726 \nL 118.410201 166.553554 \nL 116.500293 166.795806 \nL 114.477875 166.855341 \nL 112.346262 166.723262 \nL 110.109781 166.390603 \nL 107.773973 165.848475 \nL 105.345828 165.088317 \nL 102.834033 164.10215 \nL 100.249209 162.882919 \nL 97.60416 161.424875 \nL 94.914084 159.724044 \nL 92.196796 157.778744 \nL 89.472882 155.590154 \nL 86.765791 153.16288 \nL 84.101874 150.5056 \nL 81.5103 147.63162 \nL 79.022815 144.559407 \nL 76.673424 141.312991 \nL 74.497847 137.922206 \nL 72.532809 134.422701 \nL 70.81511 130.85568 \nL 69.380617 127.267319 \nL 68.262989 123.707851 \nL 67.4924 120.230243 \nL 67.09418 116.88869 \nL 67.087497 113.736755 \nL 67.484169 110.825452 \nL 68.287772 108.201268 \nL 69.49297 105.904408 \nL 71.085306 103.967279 \nL 73.041411 102.413394 \nL 75.32963 101.256755 \nL 77.911112 100.501825 \nL 80.741204 100.143943 \nL 83.771108 100.170236 \nL 86.949675 100.560848 \nL 90.225231 101.29034 \nL 93.547256 102.32927 \nL 96.867894 103.645627 \nL 100.143182 105.206223 \nL 103.333952 106.977856 \nL 106.406427 108.928207 \nL 109.332476 111.026552 \nL 112.089622 113.244241 \nL 114.66079 115.554952 \nL 117.033906 117.93482 \nL 119.201352 120.362414 \nL 121.159361 122.818671 \nL 122.907379 125.286669 \nL 124.447442 127.751502 \nL 125.783583 130.200039 \nL 126.921294 132.620678 \nL 127.86704 135.003168 \nL 128.627871 137.338422 \nL 129.211072 139.618306 \nL 129.623901 141.835476 \nL 129.873368 143.983235 \nL 129.966106 146.055385 \nL 129.908242 148.046117 \nL 129.705339 149.94989 \nL 129.362377 151.761322 \nL 128.883731 153.475123 \nL 128.273207 155.086006 \nL 127.534085 156.588604 \nL 126.66917 157.977421 \nL 125.680865 159.246771 \nL 124.571251 160.390729 \nL 123.342189 161.403114 \nL 121.995427 162.277434 \nL 120.532698 163.006896 \nL 118.955872 163.584397 \nL 117.267072 164.002548 \nL 115.468837 164.253705 \nL 113.564275 164.33004 \nL 111.557245 164.223635 \nL 109.452531 163.926603 \nL 107.256048 163.431261 \nL 104.975041 162.730309 \nL 102.618287 161.817122 \nL 100.196313 160.686019 \nL 97.721586 159.332622 \nL 95.208722 157.75427 \nL 92.674617 155.950436 \nL 90.13858 153.923237 \nL 87.622402 151.677916 \nL 85.150332 149.223341 \nL 82.749003 146.572496 \nL 80.447183 143.742871 \nL 78.275483 140.756769 \nL 76.265813 137.641493 \nL 74.450821 134.429289 \nL 72.863063 131.157108 \nL 71.534106 127.866062 \nL 70.493489 124.600653 \nL 69.767621 121.407673 \nL 69.378634 118.334909 \nL 69.343326 115.429614 \nL 69.672154 112.736914 \nL 70.368482 110.298206 \nL 71.428046 108.14966 \nL 72.838714 106.3209 \nL 74.580695 104.834124 \nL 76.62701 103.703503 \nL 78.944334 102.935014 \nL 81.494138 102.526777 \nL 84.234064 102.469635 \nL 87.11938 102.748132 \nL 90.104507 103.341662 \nL 93.144458 104.225644 \nL 96.196159 105.372836 \nL 99.219524 106.754452 \nL 102.17832 108.341189 \nL 105.040747 110.104078 \nL 107.779754 112.015188 \nL 110.373149 114.048058 \nL 112.803449 116.178062 \nL 115.057629 118.382543 \nL 117.126695 120.640911 \nL 119.005226 122.934562 \nL 120.690841 125.246816 \nL 122.183683 127.562785 \nL 123.485897 129.869184 \nL 124.601163 132.154197 \nL 125.534267 134.407253 \nL 126.290732 136.618889 \nL 126.876484 138.780582 \nL 127.297616 140.884598 \nL 127.56016 142.923836 \nL 127.669945 144.891729 \nL 127.63247 146.782095 \nL 127.452836 148.589071 \nL 127.135703 150.306985 \nL 126.685282 151.930288 \nL 126.105327 153.453485 \nL 125.399186 154.871049 \nL 124.569831 156.177385 \nL 123.619931 157.366777 \nL 122.551924 158.43333 \nL 121.368106 159.370962 \nL 120.070721 160.173388 \nL 118.662074 160.834104 \nL 117.144655 161.346399 \nL 115.52126 161.703395 \nL 113.795141 161.898097 \nL 111.97014 161.92345 \nL 110.05087 161.772461 \nL 108.042854 161.438312 \nL 105.952732 160.914536 \nL 103.788411 160.195225 \nL 103.788411 160.195225 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb35b92d22f\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.006574pt\" version=\"1.1\" viewBox=\"0 0 293.67164 285.006574\" width=\"293.67164pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T13:21:26.328326</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.006574 \nL 293.67164 285.006574 \nL 293.67164 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 44.123026 213.1939 \nL 131.110851 138.668242 \nL 130.564979 32.013261 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 66.840123 220.613304 \nL 152.600038 144.9143 \nL 152.977757 37.694247 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 89.931935 228.15509 \nL 174.414121 151.254793 \nL 175.744142 43.464862 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 113.407813 235.822312 \nL 196.560526 157.691879 \nL 198.872569 49.327244 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 137.277417 243.618124 \nL 219.046905 164.227781 \nL 222.371745 55.2836 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 161.550736 251.54579 \nL 241.881146 170.864794 \nL 246.250654 61.336207 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 44.880684 212.544787 \nL 42.60445 214.49492 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(26.049401 236.556796)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 67.587583 219.953532 \nL 65.341959 221.935711 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(51.971371 244.133523)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 90.668758 227.484394 \nL 88.455067 229.499416 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(79.278462 251.835699)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 114.133539 235.140418 \nL 111.95316 237.189106 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(102.781666 259.666469)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 137.991569 242.924751 \nL 135.845936 245.007955 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(123.499324 267.629079)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 162.252818 250.840644 \nL 160.143423 252.959245 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(147.804014 275.726886)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_8\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 35.185938 85.280828 \nL 39.963459 197.076923 \nL 188.267907 244.723848 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 49.156672 75.085622 \nL 53.267854 185.924915 \nL 200.320067 232.355368 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 62.766494 65.153794 \nL 66.243287 175.04865 \nL 212.058704 220.308638 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 76.029211 55.475267 \nL 78.901811 164.438025 \nL 223.495896 208.571266 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 88.957933 46.040475 \nL 91.254894 154.083425 \nL 234.643107 197.131485 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 101.565121 36.840323 \nL 103.313461 143.975695 \nL 245.511227 185.97812 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 187.018554 244.322459 \nL 190.769824 245.527659 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(190.515789 265.654402)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 199.082084 231.964486 \nL 202.799171 233.138124 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −5 -->\n     <g transform=\"translate(205.587489 253.102864)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 210.831927 219.927856 \nL 214.515327 221.071156 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(221.358289 240.878027)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 222.280161 208.200197 \nL 225.930368 209.314319 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 5 -->\n     <g transform=\"translate(232.641678 228.967301)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 233.438252 196.769763 \nL 237.055755 197.855811 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 10 -->\n     <g transform=\"translate(240.457574 217.358732)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_14\">\n     <path d=\"M 244.317092 185.625396 \nL 247.902373 186.684417 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 15 -->\n     <g transform=\"translate(251.179234 206.040967)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_15\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.05534 156.047355 \nL 114.960859 115.659848 \nL 26.357495 188.264894 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.838555 138.943928 \nL 114.770532 99.1085 \nL 25.513551 170.739856 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.632684 121.602187 \nL 114.57768 82.337635 \nL 24.657396 152.961238 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.437955 104.017116 \nL 114.382254 65.342857 \nL 23.788762 134.923495 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.254606 86.183556 \nL 114.184201 48.119651 \nL 22.907375 116.620922 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 261.082878 68.096204 \nL 113.983468 30.66338 \nL 22.012952 98.047642 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 255.862344 155.70827 \nL 259.44419 156.726338 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 5 -->\n     <g transform=\"translate(272.260836 161.078037)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 256.636994 138.609369 \nL 260.244577 139.613854 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 10 -->\n     <g transform=\"translate(269.987243 144.008931)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 257.422434 121.272314 \nL 261.056125 122.262736 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 15 -->\n     <g transform=\"translate(270.907509 126.702717)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 258.21889 103.692093 \nL 261.879069 104.667957 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 20 -->\n     <g transform=\"translate(271.840648 109.15442)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_18\">\n    <g id=\"line2d_21\">\n     <path d=\"M 259.026596 85.863554 \nL 262.713652 86.824349 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- 25 -->\n     <g transform=\"translate(272.786932 91.358924)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_19\">\n    <g id=\"line2d_22\">\n     <path d=\"M 259.845792 67.781398 \nL 263.560122 68.726595 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_19\">\n     <!-- 30 -->\n     <g transform=\"translate(273.74664 73.310971)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_23\">\n    <path clip-path=\"url(#p0a62bd18b7)\" d=\"M 131.955525 193.311449 \nL 131.338516 192.189151 \nL 131.29826 191.821208 \nL 131.56346 191.290889 \nL 132.161963 190.896797 \nL 133.548661 190.358641 \nL 146.378643 186.11828 \nL 152.529071 183.761198 \nL 157.64208 181.620587 \nL 163.7113 178.861718 \nL 170.855816 175.302043 \nL 174.861375 173.153503 \nL 179.165138 170.717818 \nL 183.767196 167.961695 \nL 188.659582 164.851117 \nL 193.823599 161.352876 \nL 199.226636 157.436831 \nL 204.818495 153.07904 \nL 210.527338 148.265948 \nL 216.255527 142.999689 \nL 221.875721 137.304444 \nL 227.228031 131.233565 \nL 232.119104 124.876709 \nL 236.324558 118.365804 \nL 239.596173 111.877956 \nL 241.675403 105.632983 \nL 242.31408 99.88304 \nL 241.301972 94.892649 \nL 238.498678 90.909184 \nL 233.864712 88.12725 \nL 227.484345 86.654126 \nL 219.572254 86.485849 \nL 210.458747 87.502993 \nL 200.553997 89.489947 \nL 190.298551 92.173595 \nL 180.111898 95.270255 \nL 170.350846 98.527534 \nL 161.284924 101.751389 \nL 153.08983 104.815326 \nL 145.855028 107.654963 \nL 139.599529 110.254073 \nL 134.290401 112.628266 \nL 129.860236 114.810325 \nL 126.221665 116.839132 \nL 123.278409 118.752455 \nL 120.933086 120.582971 \nL 119.092361 122.356617 \nL 117.670067 124.092449 \nL 116.588839 125.803354 \nL 115.78073 127.497104 \nL 115.187141 129.177525 \nL 114.758313 130.845587 \nL 114.235425 134.13957 \nL 113.859448 138.936076 \nL 113.401531 144.950656 \nL 113.026749 147.762695 \nL 112.503679 150.435939 \nL 111.808518 152.969036 \nL 110.921532 155.362791 \nL 109.823406 157.618738 \nL 108.493026 159.737809 \nL 106.906184 161.719105 \nL 105.034959 163.558616 \nL 102.847613 165.247794 \nL 100.309016 166.771801 \nL 97.381759 168.107355 \nL 94.028218 169.220077 \nL 90.214012 170.061263 \nL 85.913451 170.564271 \nL 83.577085 170.66232 \nL 81.117738 170.640877 \nL 78.538875 170.485084 \nL 75.846712 170.178512 \nL 73.050808 169.703247 \nL 70.164721 169.040111 \nL 67.206704 168.168992 \nL 64.200406 167.069391 \nL 61.175529 165.721185 \nL 58.168402 164.105641 \nL 55.222337 162.20673 \nL 52.387707 160.012729 \nL 49.721594 157.518086 \nL 47.286883 154.725463 \nL 45.150691 151.647842 \nL 43.382021 148.310433 \nL 42.04866 144.752162 \nL 41.213386 141.026396 \nL 40.929704 137.200542 \nL 41.237465 133.354361 \nL 42.158842 129.576747 \nL 43.69517 125.961141 \nL 45.825227 122.599913 \nL 48.505235 119.578251 \nL 51.670823 116.968377 \nL 55.240714 114.824756 \nL 59.121835 113.181035 \nL 63.215139 112.049003 \nL 67.421516 111.419619 \nL 71.647117 111.265786 \nL 75.807641 111.54634 \nL 79.831272 112.210585 \nL 83.660271 113.20276 \nL 87.251329 114.466024 \nL 90.574895 115.945581 \nL 93.613836 117.590928 \nL 96.361615 119.357211 \nL 98.820335 121.205863 \nL 100.998751 123.104647 \nL 102.910443 125.027306 \nL 104.572191 126.952997 \nL 106.002614 128.865585 \nL 107.221066 130.752912 \nL 108.246793 132.606114 \nL 109.098299 134.418963 \nL 109.792912 136.18733 \nL 110.773368 139.581746 \nL 111.29566 142.782054 \nL 111.441302 145.791761 \nL 111.268036 148.619345 \nL 110.813333 151.274791 \nL 110.098023 153.767564 \nL 109.129505 156.105439 \nL 107.904335 158.293714 \nL 106.410236 160.334529 \nL 104.627647 162.22605 \nL 102.531058 163.961463 \nL 100.090328 165.527563 \nL 97.272328 166.902947 \nL 94.043244 168.055662 \nL 90.372045 168.940375 \nL 86.235652 169.495152 \nL 83.989783 169.624117 \nL 81.62655 169.638239 \nL 79.14921 169.5238 \nL 76.56353 169.265654 \nL 73.878335 168.84731 \nL 71.106086 168.251115 \nL 68.263517 167.458558 \nL 65.372261 166.450752 \nL 62.45945 165.209097 \nL 59.558238 163.71618 \nL 56.708147 161.956928 \nL 53.955159 159.920002 \nL 51.351468 157.59945 \nL 48.954745 154.996519 \nL 46.826806 152.121526 \nL 45.031649 148.99563 \nL 43.632785 145.652226 \nL 42.689944 142.137774 \nL 42.255329 138.511679 \nL 42.369653 134.845061 \nL 43.058415 131.21822 \nL 44.328809 127.71687 \nL 46.167748 124.427313 \nL 48.541388 121.431093 \nL 51.396294 118.799626 \nL 54.662267 116.589591 \nL 58.256527 114.839587 \nL 62.088763 113.568524 \nL 66.066465 112.775843 \nL 70.09999 112.443397 \nL 74.106831 112.538613 \nL 78.014811 113.018382 \nL 81.764047 113.833115 \nL 85.307785 114.930548 \nL 88.61221 116.258886 \nL 91.655518 117.769249 \nL 94.426475 119.417253 \nL 96.922693 121.163932 \nL 99.14885 122.976056 \nL 101.114945 124.826017 \nL 102.834735 126.691424 \nL 104.324355 128.554545 \nL 105.601193 130.401689 \nL 106.682989 132.222543 \nL 107.58714 134.009577 \nL 108.330208 135.757504 \nL 109.39324 139.123309 \nL 109.977933 142.306246 \nL 110.166195 145.305239 \nL 110.017152 148.125524 \nL 109.570012 150.774707 \nL 108.847342 153.260431 \nL 107.858136 155.588917 \nL 106.600394 157.763992 \nL 105.063203 159.786215 \nL 103.228444 161.651989 \nL 101.072306 163.35242 \nL 98.566885 164.871851 \nL 95.682138 166.185986 \nL 92.388627 167.259576 \nL 88.661474 168.043701 \nL 86.630131 168.307475 \nL 84.486146 168.472878 \nL 82.230662 168.528712 \nL 79.86666 168.462481 \nL 77.399383 168.260396 \nL 74.836818 167.90746 \nL 72.190209 167.38762 \nL 69.474627 166.68404 \nL 66.70952 165.779498 \nL 63.919265 164.656969 \nL 61.133625 163.300392 \nL 58.388092 161.695649 \nL 55.72402 159.831786 \nL 53.188446 157.702425 \nL 50.833525 155.307338 \nL 48.715473 152.654105 \nL 46.892945 149.759708 \nL 45.424827 146.651855 \nL 44.367443 143.369856 \nL 43.771327 139.964773 \nL 43.677738 136.498639 \nL 44.115257 133.042577 \nL 45.096797 129.67384 \nL 46.617497 126.471827 \nL 48.653745 123.513519 \nL 51.163655 120.868681 \nL 54.088984 118.595455 \nL 57.358353 116.736928 \nL 60.891442 115.318985 \nL 64.603654 114.349766 \nL 68.410772 113.82067 \nL 72.233139 113.708584 \nL 75.998992 113.97904 \nL 79.646811 114.589765 \nL 83.126589 115.49414 \nL 86.400174 116.644355 \nL 89.440808 117.993912 \nL 92.232101 119.499493 \nL 94.766636 121.122111 \nL 97.044413 122.827752 \nL 99.071261 124.587504 \nL 100.857335 126.377387 \nL 102.41578 128.177947 \nL 103.761568 129.973767 \nL 104.910554 131.752891 \nL 105.878724 133.50627 \nL 106.681632 135.227256 \nL 107.333984 136.911127 \nL 108.240113 140.155914 \nL 108.690031 143.227578 \nL 108.754931 146.124041 \nL 108.485469 148.848672 \nL 107.914338 151.406787 \nL 107.059174 153.803478 \nL 105.925285 156.042166 \nL 104.50799 158.123513 \nL 102.794614 160.044441 \nL 100.766241 161.796995 \nL 98.399474 163.367017 \nL 95.668455 164.732443 \nL 92.547515 165.861264 \nL 89.014863 166.709149 \nL 85.057825 167.216923 \nL 82.920442 167.320153 \nL 80.680162 167.308343 \nL 78.341649 167.169108 \nL 75.911985 166.888976 \nL 73.401128 166.453533 \nL 70.822403 165.847624 \nL 68.192991 165.055719 \nL 65.534409 164.062378 \nL 62.872945 162.852898 \nL 60.239964 161.41414 \nL 57.672072 159.735556 \nL 55.21103 157.810363 \nL 52.903345 155.63692 \nL 50.799447 153.220139 \nL 48.952431 150.572898 \nL 47.416258 147.7173 \nL 46.243469 144.685557 \nL 45.482477 141.520359 \nL 45.17456 138.274499 \nL 45.350824 135.009583 \nL 46.029407 131.793837 \nL 47.213277 128.698973 \nL 48.888904 125.796414 \nL 51.02608 123.153155 \nL 53.579005 120.827714 \nL 56.488545 118.866692 \nL 59.685506 117.302268 \nL 63.094541 116.151011 \nL 66.638278 115.413981 \nL 70.241246 115.078089 \nL 73.833274 115.118392 \nL 77.352091 115.500996 \nL 80.745038 116.186119 \nL 83.969904 117.131058 \nL 86.994976 118.292731 \nL 89.79847 119.629684 \nL 92.367534 121.103557 \nL 94.696972 122.679972 \nL 96.787866 124.328954 \nL 98.646196 126.025017 \nL 100.281542 127.746976 \nL 101.705947 129.477573 \nL 102.932928 131.203048 \nL 103.976672 132.912649 \nL 104.851408 134.598167 \nL 105.570918 136.253475 \nL 106.595244 139.457083 \nL 107.140672 142.502432 \nL 107.279068 145.381604 \nL 107.063113 148.093747 \nL 106.528095 150.641103 \nL 105.694385 153.026405 \nL 104.569999 155.251145 \nL 103.152917 157.314279 \nL 101.433172 159.211068 \nL 99.394776 160.93188 \nL 97.017685 162.460799 \nL 94.280089 163.773966 \nL 91.161347 164.837653 \nL 87.645983 165.606104 \nL 83.729186 166.01943 \nL 81.623458 166.069936 \nL 79.42429 166.002054 \nL 77.137787 165.803858 \nL 74.772535 165.462557 \nL 72.340025 164.964694 \nL 69.855079 164.2964 \nL 67.336278 163.443799 \nL 64.806344 162.393521 \nL 62.292444 161.133386 \nL 59.826367 159.653218 \nL 57.44453 157.945862 \nL 55.187697 156.00828 \nL 53.100416 153.842788 \nL 51.230062 151.458275 \nL 49.625437 148.871353 \nL 48.334982 146.107251 \nL 47.404561 143.200349 \nL 46.874946 140.194139 \nL 46.779197 137.140499 \nL 47.140079 134.098172 \nL 47.96788 131.130471 \nL 49.258825 128.302301 \nL 50.994353 125.676717 \nL 53.141422 123.311396 \nL 55.653861 121.255285 \nL 58.474693 119.545968 \nL 61.539187 118.207873 \nL 64.778328 117.251645 \nL 68.122378 116.674578 \nL 71.504155 116.46205 \nL 74.861804 116.589634 \nL 78.140854 117.025662 \nL 81.295526 117.733841 \nL 84.289309 118.675704 \nL 87.0949 119.812744 \nL 89.693644 121.108049 \nL 92.074626 122.527471 \nL 94.233554 124.040384 \nL 96.171556 125.619995 \nL 97.893999 127.243412 \nL 99.409365 128.891481 \nL 100.728271 130.548487 \nL 101.862619 132.201766 \nL 102.824903 133.841311 \nL 103.627655 135.459367 \nL 104.283026 137.050034 \nL 105.196606 140.132932 \nL 105.645999 143.068086 \nL 105.694644 145.845599 \nL 105.388884 148.462138 \nL 104.759447 150.917226 \nL 103.823608 153.21074 \nL 102.587482 155.341133 \nL 101.048214 157.304053 \nL 99.19607 159.091051 \nL 97.01651 160.688273 \nL 94.492464 162.074957 \nL 91.607095 163.221751 \nL 88.347381 164.08887 \nL 84.708926 164.624282 \nL 82.750185 164.747632 \nL 80.70234 164.762332 \nL 78.570423 164.657991 \nL 76.361548 164.423451 \nL 74.08527 164.046907 \nL 71.753955 163.51613 \nL 69.383152 162.818762 \nL 66.991932 161.942719 \nL 64.603186 160.876724 \nL 62.24382 159.610961 \nL 59.944831 158.137871 \nL 57.741178 156.453067 \nL 55.67142 154.556322 \nL 53.777047 152.452645 \nL 52.101493 150.153283 \nL 50.688768 147.676618 \nL 49.581745 145.048805 \nL 48.820143 142.304022 \nL 48.438319 139.484198 \nL 48.463012 136.638168 \nL 48.911226 133.820109 \nL 49.788515 131.087386 \nL 51.087815 128.497866 \nL 52.789097 126.106959 \nL 54.859843 123.964609 \nL 57.25642 122.112589 \nL 59.92622 120.582405 \nL 62.810345 119.393962 \nL 65.846635 118.55518 \nL 68.972657 118.062479 \nL 72.128497 117.902101 \nL 75.25905 118.05192 \nL 78.315755 118.483629 \nL 81.257673 119.164934 \nL 84.051962 120.061651 \nL 86.673833 121.139482 \nL 89.106071 122.365414 \nL 91.338277 123.708761 \nL 93.365909 125.141786 \nL 95.189263 126.640048 \nL 96.812455 128.182473 \nL 98.242447 129.751232 \nL 99.488191 131.331538 \nL 100.559877 132.91131 \nL 101.468316 134.480851 \nL 102.224442 136.032504 \nL 102.838932 137.560315 \nL 103.682784 140.527362 \nL 104.071337 143.357912 \nL 104.061427 146.039342 \nL 103.694789 148.565415 \nL 102.999176 150.932736 \nL 101.990199 153.138252 \nL 100.673412 155.177427 \nL 99.046432 157.042759 \nL 97.10106 158.722409 \nL 94.825536 160.198809 \nL 92.207128 161.447166 \nL 89.23531 162.433878 \nL 85.905875 163.114953 \nL 82.226296 163.434753 \nL 80.262389 163.438462 \nL 78.222601 163.325537 \nL 76.114472 163.085811 \nL 73.947837 162.708653 \nL 71.735147 162.183186 \nL 69.491764 161.498582 \nL 67.236254 160.644456 \nL 64.990593 159.611357 \nL 62.780314 158.391377 \nL 60.634494 156.978853 \nL 58.585577 155.371186 \nL 56.668991 153.569691 \nL 54.922491 151.580495 \nL 53.385223 149.415364 \nL 52.096474 147.09242 \nL 51.094167 144.636576 \nL 50.413085 142.079698 \nL 50.082982 139.46024 \nL 50.126672 136.822436 \nL 50.558278 134.214916 \nL 51.381814 131.68882 \nL 52.590267 129.2955 \nL 54.165341 127.084021 \nL 56.077902 125.098642 \nL 58.289148 123.376555 \nL 60.752428 121.946098 \nL 63.415509 120.825642 \nL 66.22311 120.023212 \nL 69.119477 119.536856 \nL 72.050748 119.355655 \nL 74.966978 119.461222 \nL 77.823665 119.829476 \nL 80.582783 120.432515 \nL 83.213279 121.240382 \nL 85.691123 122.222625 \nL 87.998995 123.349573 \nL 90.125695 124.593281 \nL 92.065364 125.928173 \nL 93.816639 127.331403 \nL 95.381772 128.782984 \nL 96.765792 130.265783 \nL 97.97573 131.765343 \nL 99.019949 133.269668 \nL 99.907574 134.768935 \nL 100.648013 136.255223 \nL 101.724301 139.164988 \nL 102.317985 141.963276 \nL 102.48746 144.628868 \nL 102.278172 147.149376 \nL 101.722606 149.51713 \nL 100.84146 151.72619 \nL 99.645376 153.770164 \nL 98.136933 155.640493 \nL 96.312735 157.32498 \nL 94.165688 158.806395 \nL 91.687567 160.061066 \nL 88.872122 161.057474 \nL 85.718982 161.754914 \nL 82.23859 162.102532 \nL 80.383401 162.126419 \nL 78.458425 162.039143 \nL 76.470986 161.831656 \nL 74.430459 161.494559 \nL 72.348546 161.018304 \nL 70.239535 160.393458 \nL 68.12052 159.611047 \nL 66.011586 158.662996 \nL 63.935902 157.542638 \nL 61.919705 156.245337 \nL 59.992126 154.769158 \nL 58.184857 153.115598 \nL 56.531577 151.290327 \nL 55.067169 149.303892 \nL 53.826648 147.172288 \nL 52.843898 144.917355 \nL 52.150191 142.566894 \nL 51.772595 140.154431 \nL 51.732357 137.718536 \nL 52.043398 135.301744 \nL 52.711083 132.949035 \nL 53.731334 130.705963 \nL 55.090321 128.616577 \nL 56.764674 126.721319 \nL 58.722334 125.055062 \nL 60.923918 123.645481 \nL 63.324548 122.51194 \nL 65.87591 121.664975 \nL 68.528445 121.106376 \nL 71.233409 120.829831 \nL 73.94473 120.82202 \nL 76.620471 121.064011 \nL 79.223901 121.532805 \nL 81.724128 122.202841 \nL 84.096339 123.047414 \nL 86.321679 124.039873 \nL 88.386888 125.154564 \nL 90.283718 126.367504 \nL 92.008263 127.656843 \nL 93.56022 129.003098 \nL 94.942156 130.389231 \nL 96.158818 131.800584 \nL 97.216513 133.224742 \nL 98.122547 134.651323 \nL 98.884775 136.071758 \nL 100.00982 138.86756 \nL 100.653152 141.571015 \nL 100.868607 144.155901 \nL 100.699444 146.605509 \nL 100.177683 148.908528 \nL 99.324786 151.055969 \nL 98.153073 153.038871 \nL 96.667529 154.846481 \nL 94.867843 156.464734 \nL 92.750701 157.874851 \nL 90.312437 159.052012 \nL 87.552221 159.964126 \nL 84.475988 160.570809 \nL 81.10132 160.822834 \nL 77.463345 160.662563 \nL 75.563064 160.407952 \nL 73.621575 160.025965 \nL 71.651317 159.508347 \nL 69.667121 158.847209 \nL 67.686383 158.035362 \nL 65.729139 157.066753 \nL 63.81809 155.936957 \nL 61.978489 154.643724 \nL 60.237883 153.187588 \nL 58.625709 151.572478 \nL 57.172665 149.806318 \nL 55.909922 147.901554 \nL 54.868097 145.875524 \nL 54.076078 143.750666 \nL 53.559726 141.554433 \nL 53.340501 139.318904 \nL 53.434168 137.080025 \nL 53.849603 134.876512 \nL 54.587918 132.748448 \nL 55.641907 130.735633 \nL 56.995985 128.875818 \nL 58.626575 127.202995 \nL 60.502983 125.745836 \nL 62.588695 124.526525 \nL 64.842991 123.559953 \nL 67.222701 122.853436 \nL 69.684029 122.406921 \nL 72.184253 122.213622 \nL 74.683198 122.260974 \nL 77.144417 122.531831 \nL 79.536025 123.005724 \nL 81.831182 123.66013 \nL 84.008256 124.47161 \nL 86.050708 125.416787 \nL 87.946772 126.473112 \nL 89.688978 127.619445 \nL 91.273567 128.836422 \nL 92.699893 130.106663 \nL 93.969799 131.414843 \nL 95.087043 132.747658 \nL 96.05676 134.093714 \nL 96.885008 135.443376 \nL 98.143604 138.122632 \nL 98.916355 140.736237 \nL 99.253094 143.251038 \nL 99.195958 145.6447 \nL 98.777779 147.901518 \nL 98.022086 150.009175 \nL 96.944056 151.956269 \nL 95.552034 153.730354 \nL 93.849415 155.316338 \nL 91.836852 156.695096 \nL 89.51483 157.842223 \nL 86.886733 158.726937 \nL 83.962586 159.311289 \nL 80.763568 159.549894 \nL 77.327343 159.390606 \nL 75.538023 159.14411 \nL 73.714048 158.776738 \nL 71.867446 158.281432 \nL 70.012372 157.651572 \nL 68.165214 156.881299 \nL 66.344652 155.965891 \nL 64.571627 154.902184 \nL 62.869215 153.689057 \nL 61.262373 152.32794 \nL 59.77754 150.823309 \nL 58.442084 149.183186 \nL 57.283587 147.419535 \nL 56.328952 145.548547 \nL 55.603404 143.590776 \nL 55.12939 141.571001 \nL 54.92544 139.517875 \nL 55.005072 137.463271 \nL 55.375844 135.441329 \nL 56.038609 133.487289 \nL 56.987085 131.636117 \nL 58.207786 129.921046 \nL 59.680353 128.372159 \nL 61.378255 127.015101 \nL 63.269836 125.870059 \nL 65.319648 124.95108 \nL 67.489896 124.265789 \nL 69.741963 123.815464 \nL 72.03785 123.595523 \nL 74.341453 123.596244 \nL 76.619616 123.803716 \nL 78.842892 124.200876 \nL 80.986047 124.768538 \nL 83.028269 125.4864 \nL 84.953157 126.333874 \nL 86.74851 127.290819 \nL 88.405972 128.338058 \nL 89.920587 129.457769 \nL 91.290295 130.633723 \nL 92.515423 131.851395 \nL 93.598175 133.097983 \nL 94.542181 134.362346 \nL 96.033093 136.907491 \nL 97.031067 139.426292 \nL 97.580815 141.875885 \nL 97.723278 144.226187 \nL 97.492687 146.455645 \nL 96.915527 148.547774 \nL 96.010767 150.488403 \nL 94.790893 152.263545 \nL 93.263475 153.857648 \nL 91.433126 155.252158 \nL 89.303846 156.424281 \nL 86.88182 157.345979 \nL 84.17876 157.983255 \nL 81.215882 158.29594 \nL 78.028536 158.238299 \nL 74.671314 157.760964 \nL 72.952603 157.349369 \nL 71.223211 156.814697 \nL 69.497541 156.151841 \nL 67.791955 155.356643 \nL 66.124756 154.426237 \nL 64.516101 153.359449 \nL 62.987801 152.157211 \nL 61.563006 150.822978 \nL 60.265782 149.363138 \nL 59.120538 147.787363 \nL 58.151323 146.108877 \nL 57.381006 144.344588 \nL 56.830402 142.515061 \nL 56.517295 140.644295 \nL 56.455537 138.759241 \nL 56.654183 136.889147 \nL 57.1168 135.064639 \nL 57.84097 133.31666 \nL 58.818104 131.675286 \nL 60.033529 130.168531 \nL 61.466913 128.821223 \nL 63.092993 127.654018 \nL 64.882531 126.682668 \nL 66.803483 125.917588 \nL 68.822229 125.363723 \nL 70.904825 125.020734 \nL 73.018162 124.883451 \nL 75.130993 124.942512 \nL 77.214739 125.185189 \nL 79.244086 125.596219 \nL 81.197348 126.158679 \nL 83.056615 126.854769 \nL 84.807721 127.6665 \nL 86.440045 128.576261 \nL 87.946223 129.567263 \nL 89.32176 130.623841 \nL 90.564625 131.731652 \nL 91.67482 132.877773 \nL 93.504908 135.240437 \nL 94.837699 137.636269 \nL 95.708487 140.008899 \nL 96.154667 142.317147 \nL 96.21093 144.530949 \nL 95.906703 146.627709 \nL 95.265204 148.589274 \nL 94.303661 150.399464 \nL 93.034293 152.042121 \nL 91.465822 153.499501 \nL 89.605434 154.750978 \nL 87.461154 155.771983 \nL 85.044682 156.533254 \nL 82.374743 157.000482 \nL 79.480962 157.13463 \nL 76.408168 156.893208 \nL 73.220807 156.23299 \nL 71.61067 155.733204 \nL 70.006914 155.11459 \nL 68.42464 154.37395 \nL 66.880595 153.509303 \nL 65.393064 152.520215 \nL 63.981685 151.408163 \nL 62.667156 150.176856 \nL 61.470859 148.832576 \nL 60.414345 147.384454 \nL 59.518751 145.844666 \nL 58.8041 144.228531 \nL 58.288548 142.554448 \nL 57.987598 140.843707 \nL 57.913331 139.120076 \nL 58.073702 137.409234 \nL 58.471968 135.738022 \nL 59.106279 134.133559 \nL 59.969505 132.622287 \nL 61.049294 131.228978 \nL 62.328397 129.975766 \nL 63.785253 128.881371 \nL 65.394754 127.960443 \nL 67.129177 127.22314 \nL 68.959208 126.674997 \nL 70.854988 126.31699 \nL 72.78709 126.14587 \nL 74.727419 126.154655 \nL 76.649926 126.333235 \nL 78.531181 126.669097 \nL 80.350731 127.148005 \nL 82.091306 127.754679 \nL 83.738843 128.473401 \nL 85.282385 129.288544 \nL 86.713877 130.184961 \nL 88.027875 131.148316 \nL 90.292715 133.223679 \nL 92.072813 135.421997 \nL 93.384288 137.669386 \nL 94.254188 139.909011 \nL 94.713492 142.097994 \nL 94.792373 144.204034 \nL 94.517503 146.202165 \nL 93.91086 148.071985 \nL 92.989714 149.795342 \nL 91.767366 151.354465 \nL 90.2545 152.730443 \nL 88.461002 153.901994 \nL 86.398198 154.844557 \nL 84.081534 155.529698 \nL 81.533697 155.925006 \nL 78.788123 155.994644 \nL 77.355501 155.895556 \nL 77.355501 155.895556 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p0a62bd18b7\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(results_test_np[:,0], results_test_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(results_test_np[:,0], results_test_np[:,1], results_test_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
new file mode 100644
index 00000000..e0eef3f7
--- /dev/null
+++ b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
@@ -0,0 +1,400 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Lorenz 63 equations\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"sigma\"]*(prev_val[\"y\"]-prev_val[\"x\"])\n",
+    "\n",
+    "def y_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x\"]*(coeffs[\"rho\"]-prev_val[\"z\"])-prev_val[\"y\"]\n",
+    "\n",
+    "def z_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x\"]*prev_val[\"y\"]-coeffs[\"beta\"]*prev_val[\"z\"]\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
+    "\n",
+    "# Initial conditions [1,0,0]\n",
+    "ode_init = {\"x\":1, \"y\":0, \"z\":0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"sigma\": 10., \"rho\": 28., \"beta\": 2.7}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None,\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 9.1793e-01,  2.6634e-01,  1.2636e-03],\n",
+       "        [ 8.6792e-01,  5.1173e-01,  4.6540e-03],\n",
+       "        ...,\n",
+       "        [-5.6997e+00, -5.8341e+00,  2.3410e+01],\n",
+       "        [-5.7226e+00, -6.0452e+00,  2.3121e+01],\n",
+       "        [-5.7641e+00, -6.2715e+00,  2.2854e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 5
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "<ipython-input-6-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T14:43:25.224994</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m8d4312a850\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#m8d4312a850\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#m8d4312a850\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#m8d4312a850\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#m8d4312a850\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#m8d4312a850\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#m8d4312a850\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#m8d4312a850\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf95ed89735\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf95ed89735\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf95ed89735\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf95ed89735\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf95ed89735\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf95ed89735\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf95ed89735\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p40360d8762)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p40360d8762\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T14:43:25.436888</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#p0861279c62)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p0861279c62\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZYAAAGPCAYAAAB/IfbFAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAAC+9UlEQVR4nOx9d3gc1d31mS1a9bLqxZIlWbJsuajZskwP1TQbnAZ88CbUBAdwSAJJSAECBkMChFASCC0khATbQKjB9GKaLa16773srspq+858f2zuaHatsmVmdmTPeR6e941s687uzNxzf+0cimEYBjJkyJAhQwZPUIT6AmTIkCFDxrEFmVhkyJAhQwavkIlFhgwZMmTwCplYZMiQIUMGr5CJRYYMGTJk8AqZWGTIkCFDBq+QiUWGDBkyZPAKmVhkyJAhQwavkIlFhgwZMmTwCplYZMiQIUMGr5CJRYYMGTJk8AqZWGTIkCFDBq+QiUWGDBkyZPAKmVhkyJAhQwavkIlFhgwZMmTwCplYZMiQIUMGr5CJRYYMGTJk8AqZWGTIkCFDBq+QiUWGDBkyZPAKmVhkyJAhQwavkIlFhgwZMmTwCplYZMiQIUMGr5CJRYYMGTJk8AqZWGTIkCFDBq+QiUWGDBkyZPAKmVhkyJAhQwavkIlFhgwZMmTwCplYZMiQIUMGr5CJRYYMGTJk8AqZWGTIkCFDBq+QiUWGDBkyZPAKmVhkyJAhQwavkIlFhgwZMmTwCplYZMiQIUMGr5CJRYYMGTJk8AqZWGTIkCFDBq+QiUWG6GAYBi6XCwzDhPpSZMiQIQBUob4AGccXaJqG0+mE2WyGQqGASqWCSqWCUqmEQqEARVGhvkQZMmQECYqRj40yRADDMKBpGg6HAzRNw2azgaIoMAwDhmGgUChkopEh4xiBTCwyBAfDMHA6nXA6nezP7HY7FAoF++eEeAgoipKJRoaMZQqZWGQIChKluFwulizIzxYiCS7RMAwDiqJAURSUSqUH0ZCfy5AhQ1qQiUWGICAFeqfTCZqmPaINmqZht9t9JgaZaGTIWF6Qi/cyeAfDMGyUAiDoFBYhDO/UmdPpRFtbGyIjI5Geng6lUgm1Wg2lUsmmzmTIkCE+ZGKRwStINOIdpfAJLtHY7XaEhYWBoig4nU44HA4AOKo+IxONDBniQSYWGbyApL4cDgfb5SVGWopLMt4RjcPhgN1uByATjQwZYkImFhlBg+/UVyDrczFf6ow0DHBrOzLRyJAhDGRikREUSJTiT+pL7AI7KfQTcImGpM68iUalUsmNADJkBAiZWGQEBO/ZFH+jFL42bTJk6e+/WYhoSESjUCiOagaQiUaGDN8gE4sMv8GdoAew7FNIvhKNd+pMJhoZMuaHTCwyfIa3LIsUJuEDiVh8+Z2EaMjvJt1u9fX1SEtLQ0JCgkw0MmQsAJlYZPiEUBfoQwXyGQnRzM7OssrMdrud1TyTIxoZMuYgE4uMJcGVZTleCGUxLBTR2Gy2Rdubj/fvTcbxA5lYZCyIxWRZpAIhUmH+rg+AJQ8yQ8MwzFFEQxoBVCqVJL9LGTL4gkwsMubFckl9Se2auHpl3kRjtVrZv0OIRlZulnEsQiYWGUchkNmUUELKOqoy0cg4HiETiwwWwc6mHC/gQ1ATWJxovJWb5XshYzlBJhYZAI6eTVkuEvTL4RoXw0JEQ5oB+vv7QVEU0tLSZKKRsWwgE8txDrKJ9fT0ICoqCvHx8ctuw5JyKsxfeBO6yWQCACQnJ8Plci3Y3iwTjQwpQSaW4xjcAv3w8DBSU1ORkJAgytp8dXMdD5sp0TED5pSbXS6XB9GQ1BlX5+x4+G5kSBMysRyn8J5NUSgUy/bkv1yv2xcQCwKCxUzPiN2z7K4pI9SQieU4w0KzKcuZWMREKL6jxQjBH6KR3TVliAWZWI4jLDabEupBw0CxXK/bVwSi3OwL0cheNDKEhEwsxwmWmk1RKBRsR9hyw7FOLHy0N8vumjLEhEwsxzi4symLWQYv15O/XDfwD0sRDUVR0Ov1SExMREREhEw0MgKCTCzHMGiahtPp9EmWRWxi4XOt5UiIviLYiGUpzEc0bW1tWLduncffkd01ZfgDmViOQXB9U8jGtNRGIFYqjGEYDAwMoKWlBRqNBgkJCex/arVa8PWXI8TcxMkBgxDJYu6a3l1nMmQQyMRyjMFblsXXNlMxIhan04mmpiZMTExg7dq1YBgGk5OT6O7uRkNDA2JiYliSiY+P93B1DOV1hxKh+GzcKEm2cZYRCGRiOYbAnU3hpjd8AUVRgkYsMzMz0Ol0CAsLQ1VVFStfkpKSAgCw2WwwGo0wGo1obW2FzWZDbGwstFotEhISEBsbK5k8v5ibptCpMH/XXMiLRrZxlsGFTCzHAPjwTVEoFGwthu9rGxwcRHNzM1auXIn8/HxQFOWRpgMAjUaDtLQ0pKWlgWEYWCwWlmgGBgZA0zTi4uJYoomOjj5uhv6kRCxceLtrets4y+6axy9kYlnm4Ms3RYiUEjf1VVpaiqSkJPaal7qWyMhIREZGIjMzEwzDYHZ2FkajEQaDAd3d3aAoCgkJCaBpmr32Y3GzCnUqzB8sRTSyu+bxA5lYljHIC8uHbwrfxXtu6mvr1q0IDw8P+HdRFIXo6GhER0djxYoVoGkaMzMzMBqNGBoagtVqxaFDhzwaAYJZT2oQO/UGgJe043xEs5S7pkw0xwZkYlmGIKkvkk7iQ9mWr4hlvtQX37URhUKBuLg4xMXFAXArAGdkZMBoNLJrR0ZGHhMdZ2JHLGQ9ITb2xbxoDh06hNzcXGi1Wtn07BiATCzLDEJZBvNRvF8o9SU0KIqCVquFVqtlr4PUZ0jHWXR0NFufiYuLY9WC/UUoNnoxN1WuH4/Q4BKNy+WCSqViNetkd83lDZlYlhGEtAwOVoSSz9SXP5jvO1CpVEhOTkZycjIAwG63w2AwHNVxRqKZuLg4yXSczYdQpMJC0TDAnfCX3TWXN2RiWQYQwzI40FSYGKkvX65hMYSFhbEdZwA8Os6GhobgdDoRHx/PEk1MTIxkNqpjKRW2GEgTBheLuWsSoiGWDzLRSAsysUgc3pbBQm3agRTvA0198fnSB/K7IiIiEBERgYyMDI+OM6PRiJ6eHrbjjPwXGRkZso1K7FRYKIllqWd7MaKx2WywWq0y0UgEMrFIFNwJZyFSX97wN2IJNvXF52cJ5lS/WMfZ+Pg4Ojo6oFKpkJCQAK1Wu2wVoH1FKFNh/h6avOeYFnLX5Hadye6a4kAmFgmCFOjr6uqQlpaGpKQkwV8Ef4hlYGAgpKkvLvj+XrgdZytXroTL5cL09DQMBgMGBwdhtVrR3NyMpKQkaLVaxMfHIywsjNdr4CIUEYvYGy85RPHR2TifcjMZHiZ/LrtrCg+ZWCQGriyL2WxmZTKEhi+psFB1fS0FIesQSqWSTYkBwOeff460tDQ4nU709PTAZDIhOjraQ+Ms0I6zhXA8SMgA/Kd5FyIaYnpmNpthMpmQmZkpu2vyDJlYJIL5ZFnENN9aKmIJVdeX1EBRFCstA7g7zkh9pr29HVarldeOM7GL93xEDv5CKGLxhjfRzM7OYnR0FKmpqbKNM8+QiUUCWGg2RWxiWWgtkvrKycnBqlWreJ3KlsrvCRRhYWFITU1FamoqgPk7zuLi4tgajb8dZ6FKhYkJMWdnuCAtziTC9I5oANldM1DIxBJiLDabEuxsiT+Yby2S+hofH0dJSQk7F8IHjlWjL++OM7PZzGqc9fX1AQDb2qzVan3qODteiEXsDdvlcnmsuVDqjKvcTFGUTDQ+QCaWEMGX2ZRQpsK4qa8TTjhBsqmvUEcsi4GiKERFRSEqKgpZWVlgGIbtOJuYmEBnZyfbcUb+i4iI8Pgdx/qkP1kTkF6L83xEQ2qgJKLxJhrZXdMNmVhCAO/ZlIW6UsQkFu5aQqS+hMRysVSmKAqxsbGIjY1FTk4OaJrG1NQUjEYjhoeH0draCo1Gw0rPkIaB4yFiCUVnli+zM1yQ+gvBfKZnXKI5nt01ZWIREf5aBoeixlJXVydI6kvG0VAoFB4E4nQ6MTk5CaPRiN7eXjQ2NkKhUGBoaAgURQnSceaNUBFLKA4vNE375FK6EHwhmuPVXVMmFpHgXaD35YQmJrFYLBbY7XZYLBZJp768wZcqsxSgUqmQlJTEtnHb7XZ8/fXXYBiG7Tjj2jfHxcUFtTHOh0AGFZfjmgD/hOYr0RwPXjQysYgA7myKPxP0Qrk6emNgYABNTU2gKAqbNm2SfOrreEFYWBhUKhVWrFiBxMREWK1WtuOsqanJo+OMaJwFe+9C0W4cijWBOUVlocAlGq7pGZl/KiwsPGaJRiYWARGsZbBCoWCLhEKA2/W1Zs0atLS0LDtSORZewsXAjcbCw8ORnp6O9PR0j44zo9GIvr4+MAzj0QgQFRXl9/dzvKXCxFqXq3FGDotKpfKYtXGWiUUg8OGbImQqzGQyQafTQa1W44QTToDL5RJVB0sqWmHLAfN9V4t1nOn1enR2drKqAaQZwLvjbD6EqitsOdZYgl3XO6JZyF1TpVKhvr4eOTk5SE9PF/16A4FMLAKAL9+UxYYWg8Hg4CCampo8ur4sFssxv0HzhVCoDS+F+TrOiMYZt+OMRDNarXZejbNQdoWJjVBFSi6X6yhCW0i5mRDN7t27cf311+OKK64Q/XoDgUwsPII7m8KHZTDfEYvT6URzczPGxsaO6voi1xmKjSUYHEvF+/kQ6P1QKBSIj49HfHw8APe9J63NfX19aGpqQlRUlEfqTKVSHVepMO8BSTHXXaq24000ZrMZ0dHRYlweL5CJhSfQNA2n08mrZTCfxOKd+vLu+iIvmFjpgeVEXscCVCoVEhMTkZiYCABwOBxsfaazsxMWiwUxMTFQq9XscyxWmuh4qLFw4e93SzyDZGI5juDvbIo/4ItY5kt9eYMbsSwnhGpKXMz1hPiMarUaKSkpSElJAQC242xwcBBmsxmffPIJYmNj2foMHx1nCyFUUXKoayz+QCaW4wjesix8Tw8HSyyLpb68Qa57ORpZLTcy9BdibLqk44ymaahUKhQWFsJgMHh0nHE1zgLpOFsIcsSyNGRiOU7AnU3h6gnxiWCIZanU13xrAeJt0oSQgzXJOtZTamKf5slmGxkZicjISLbjzGQysamz7u5uD9UA0nEW6HUejzWWQFJhUVFRAl4Vv5CJxU8EO5viDwIlFl9SX94QMxVmNBqh0+lgt9vZdAuRlA/kRT+WIxYppN4oikJMTAxiYmKQnZ3NdpwZjUaMjo6ira3No+MsISEBGo0mqDXFwHIhNLPZDIZhEBMTI+BV8QuZWPwAH7Mp/sBfYvEn9eUNksYTMhXGMAx6e3vR1taGVatWIT4+nu1U6u/vB+CWlCdE48sp+FiPWADpiVByO85yc3PhcrlYjbP+/n40NTUhMjKSrc/Ex8dDrVYv+PvkVNjimJ2dBQA5FXYsgqZpjI6OIjIyEhqNRjS7YF9PrP6mvuaDkK27TqcTDQ0NMBqN2LRpE2JiYuBwOBAdHY3MzEx2wM9gMGB8fBwdHR1Qq9UsySQkJAjqLS9VSCFiWQpKpfKojrPJyUkYDAZ0dnbCbDazGmdarfYojbPlKkIp1rqzs7NQqVR+RYGhhkwsS4CkvhwOB+rq6rBhwwbRBBp9jVgCSX3NB6EiFpPJhJqaGmg0GmzduhUajYZteOCuTQb8Vq5c6XEKJkq/0dHRHqdgbx2mYxVSi1iWglqtRnJyMhsx22w21uysubkZdrvdw1UzFMRC03TIJv4DiVgiIyOXldySTCyLwDv1RbR9xMJSxOJyudDU1BRQ6muh9fjepIeGhtDY2Og36Xmfgom3vMFgQEtLCxwOB+Li4qDRaOByuZbdYKevCEXEwvcGptFokJaWhrS0NDAM42HfPDAwAKfTCY1Gg76+PiQkJCA6Olrwexkq10pyUPVnXZPJtKzSYIBMLAtiPlkWMWXsgcWJhY/Ulzf4TIXRNI2WlhYMDQ1h48aN7LxEoOB6y5PNyWAwYGRkBBaLBZ988gkbzZD6jFBYbhGElNajKIrtOCMp0MbGRvbgwHfH2UIIFbGQdf2NWJZTRxggE8tRWMwyWCwZe4KFiIWv1Jc3+EqFWSwW6HQ60DSNrVu3IjIyct61AgV3c4qIiEB7ezvWrFnDEk1bWxvCw8M9nBgXKx5LHWK3G4u5HnFcjIiIQH5+PmiaZmttpOMsLCzMQ+OMj1pDqIiFm/3wFWazmde5ITEgEwsH3pbB3g8dV/JaDJDUFDlF8p36Wmi9YDAxMYHa2lqkpKRg7dq1osnDxMXFIS4uDrm5uR5OjN3d3WhoaEBMTAzbCBAXF7ds8tXLoXgfLLg1FoVC4XEvXS4X2zlILLMjIyM9IppADg1Cjwosti7gH6GZTCY5YlmO4MqyLPbAhaLGArgfRhIF8Jn68kYwqTCGYdDV1YWuri6sWbMGWVlZPF/d4mtz4e3EaLPZ2CnyxsZGOJ1Oj7Zmf06DoWgUEDsVFor00EJrKpVK9j7l5+ezHWfehwZCMtymjsUQ6uFIf+6pnApbhvBnNiUUqTDAnfpqbW1FdnY2CgoKBHshAq0hkY45k8mEyspKxMbGLvlv+Nosffk9Go3GwyBrdnaWbQTo7u4+yrdESrbMx0PE4g+ZLdRxZjQa0draCpvN5qFxFhsbO+/vXi7DkYBcvF928NcyWOyIhWwq7e3tgqS+vBFIxDI1NQWdTofo6Ghs3bo1JLUMf66ZoihER0cjOjoaK1asAE3TbKplcHAQLS0tiIiIYE/J8fHxgtrXLgbyuY6l4v18CKauw+04A8A2dZDUGU3TiIuLY4mGdJwtl+FIYK7GspxwXBJLoLIsYkYspOsLAMrLy1lfDSHhT/GeYRgMDAygpaUFeXl5yMvL83tz4GMD48OagKRR8vLyPIb7Ojo6YLFYEBsby0Y0ciqMf/C5yUdERCAzM5PtOCPRKUmdURTFDtuSg5SY3+/xIEAJHIfEEowsi1gRC+n6ys7OhslkEi0K8LV4T5oIxsfHUVZWxs6ahAp8bvbeqRYyc2EwGDA4OAiHw4HOzk6kpKRAq9UiMjJSsI0pFCQm9VSYP5gvOiX2zaOjo7BYLDh06JBHI4DQadBApv1NJhNbL1wuOK6IJVjLYKEjlvm6vvr6+kRLv/mSCpudnYVOp4NSqcTWrVslVY8QAhEREYiIiEBGRgYYhsGnn36K6OhoTExMoLOzE2q1mo1mFrL7DRShSIWFwiZYrDW5HWfh4eEYGBhAXl7eUWnQYDvOFkMgNRYiibOccFwQy2KzKf5AqVTCbrfzfXkA5lJfKpXKo+tLzKHMpdYaHR1FfX09MjMzsXr1akm07IppTUyGZNPS0hAXF8e2whoMBlZ8MTo6miUaXzuUfFlXLIS63VjMNbkdZwDYNnXS1NHQ0OBxP+Pi4oKutwWaCptvFkzKOOaJxXs2JRgzLqEiFm7qy7vrS0xiWWiTpmka7e3t6Ovrw7p165Ceni7K9Ugd3hsTmR7ndiiRwjGxBfDn2ZNTYcJhvpSUd5s6V0aI23FGoplA5qHkGssyhxCWwXzXWHwZeBSbWLzXstlsqK2thc1mQ1VVleQecClNI88nO0M2pr6+PgDwaGv29RR6PEQsUoySuPcTgIfG2dDQEDsPRYjGl4ODTCzLGN4Fer4sg/mMWBZKfc23ppipMO4pmRhyJSQkoKysLGRtt0tBiurG82lieUuVaDQaD1sA73z+8RKxhCIVFkitw7vexu046+3tBQCP+sx8jR2BFO/ldmMJwN/ZFH/AV8SyWOrLG0IoDi8Ekgojhlzt7e0oLCxEdna2pCIDLqR6Xd5YyBaAm88nsjMkzRKqOZZQKP4utxbn+TrOTCaTh5+QSqXy0DgLDw8P2JZYLt6HCGJYBgcbsQSi9SV2KszhcECn02FychIVFRVISEgQZe1gIObJnq+1vG0BuJ4lTU1NcDqdrIKByWRCbGysKARzPKXC+NSxUygURx0ciH3z0NAQWltb2axEdHQ07Ha7zx2EciosRBDLMjiYiIWb+tq6davPsu5iEovL5UJ/fz9iY2NxwgknHJeOjaGCt2eJ2WzG2NgYJicnodPp2EFOkjoTqs1bqvUOIdYUMrVLZILI4C3pOGtvb8fU1BTbts7VOFvoepYjsYS+XzRI0DQNm80Gp9PJtoMK9WIEGrEMDQ3h888/R3JyMjZv3uyXV4hYxDI0NITx8XFER0ejoqJi2ZDKckmF+QOKohAVFYWMjAwAwIknnoj169cjMjISw8PD+Pzzz/HFF1+gtbUV4+PjR7lxBoPjpStMbBFK0nEWGRmJ3NxcnHjiicjJyYHL5UJ7ezs++eQTHDlyBF1dXTAajew7T9O0oDWWe+65BxRFYffu3ezPGIbB7bffjoyMDERERODUU09FY2OjX7932UYs3NkU8mAK/UL4G7G4XC40NzdjdHQ0YK0voYmFGHINDw8jKSlJFPc+viHF4j0fIJ9LoVAgPj6elfVxOp1s0bizsxMWi8XDFmAh4UVf1xS7prMcayyBghCaLx1n+/btQ3R0NJKTkwWZY/n666/xxBNPYMOGDR4/v++++/DAAw/g2WefRWFhIe666y6ceeaZaG1t9bnWsyyJhaZpOJ1OwVNf3vDHjyXQ1Jc3hCQWIsXPMAyqqqrQ29u77Dbp5UaC/mCh4r1KpfKQnbFarazwYn19PWiaZm0BEhIS/LYFEHvSHxD/PkpNhNK748xsNqOurg5vv/02jEYjVq9ejVNPPRXf+MY3cOGFF2LlypVBXYfJZMJll12GJ598EnfddRf7c4Zh8NBDD+G2227DxRdfDAB47rnnkJqaihdeeAHXXXedT79/WaXCSIF+amoK7733nuCpL2/4uskHk/ryBl+ujt6YmJjAoUOHEBMTg8rKSrY1Ukz1Zr6w3MjQH/jybIeHhyMjIwPFxcU48cQTUV5ejoSEBOj1ehw+fBifffYZmpqaMDw8DJvNtujvCkXEAoTGIlgMEzpv+NIVRlKhN954I/70pz+Boii88847qKqqwhtvvIGPP/446OvYtWsXzjvvPJxxxhkeP+/u7sbIyAjOOuss9mcajQannHIKDh065PPvXzYRCzf1RVEU7Ha76C8BIZaF1uUj9bXQmnyBYRh0dnaiu7v7KEMusf1m+EAoIhax1gyEMLltsNnZ2awtgMFgYB0Yo6Ki2GjGu2gsdloqVBFLqI2+fAVxj9y0aRM2b96MW2+9NehrePHFF1FdXY2vv/76qD8bGRkBADZFR5CamsrO6viCZUEs3NkUiqLYQTKxHw7yQMx32uEr9eUNPonFbrejrq4OZrN5XkMuMXW3ZCwNPg5OXFsA4sBI2prb2tpY2RnScSZ2V1iovOdDlQrzN1Li25a4v78fN910E955551FOwu9nwF/n0VJE8tCsynkA7pcLlGNpciD6H3qGBoaQmNjoyAOj3wRy9TUFGpqahAbG4uqqqp5vzcxW5v5xLFMhnxv8mq1GikpKUhJSQEwZ4xFhDSdTqeHLUBERISgREOI7HiqsfizLmk15uv7OXLkCMbGxlBeXu5xTR9//DEeeeQRtLa2AnBHLlxNwLGxsaOimMUgWWJZbDaF1Fb4bLP0BdyIBRAm9eWNYDd7hmHQ39+P1tZW5OfnIzc3d8GHdDlGLMdD8V5IeBtjffzxx4iOjsb4+Dja29sRFhbmITvDdxt6KDrCgNDUWIh+oT/rms1mXjvCTj/9dNTX13v87Pvf/z6Kiopw6623Ii8vD2lpaTh48CBKS0sBuDMdH330Efbu3evzOpIkFpqmYbfbF52g96dDiy+Qk5XL5RIs9eWNYAjU5XKhsbERExMTPhlyiUksY2NjGBgYYFMwwRhmLTcy9AdiEidZKyMjA9HR0azsDNHCamxsRHR0NEs0cXFxQW/OYqTerFagqUmB3l4FoqIYxMUx6O6OgFargkYDREQAYnzNZL/yNxXG53BkTEwM1q1b5/GzqKgoJCYmsj/fvXs39uzZg4KCAhQUFGDPnj2IjIzEpZde6vM6kiIWkvoiisSLdXyFgljIuiMjI+jq6hIk9eWNQCOW2dlZ1NTUsMTny6S2GF1hDMOgo6MDPT09yMzMhF6vZw2zyIal1Wp9TnHKEQv/a5Lv1Ft2xm63s23Nzc3NcDgcHn7y/toCkPX4fH/0egp1dQrU1ytQV6dEfb0CbW0KuFze13US+/+p1W6yiY0FcnJo/PKXNlRW8v8ekHfLH2KZnZ0VXYDylltugcViwfXXXw+j0YjKykq88847fumVSYZY/JVlUalUohOLy+UCTdPo7u7Gxo0b2Ty1kAiEWAI15BJa8NLhcKCurg6zs7PYvHkzNBoN24lGOpd6enrQ2NiI2NhYXgb++IbYumShmIJfaM2wsLCjZGdII0BPT49HowCpzyyFQCMWhgG6uynU1Sn/RyRuEhkamv85SUyksWoVA5sNmJykoNc7MTurBk1TcDgoTExQmJgAuroU+OADFa680o7f/tYGPqXySPORP59XDDmXDz/80ON/UxSF22+/HbfffnvAv1MSxBKIZbDYEQtJfQHA2rVrRSEVwL/NnmvItX79eqSlpfm1lpARy8zMDGpqahAVFYWqqioolUo4HA4AnoZZq1atgs1mYwvKZOCPbFaJiYlHbVhyKowf+DMFT2YtoqKikJWVxfrJGwwGjIyMoK2tDeHh4Ww0s5DNrz9FdIYBjhxR4D//UeHVV9Xo7p7/3+Xl0diwwYX162msX+/Chg000tMZNt3FMAw++OADbNlSBZcrAlNTFKamKExOUvjHP9T4+9/VePrpMLz+ugr33mvDzp1OXlJlgSiuhyJi4QMhJZZgLIPFJBZu19fY2JjonWi+bPZWqxW1tbVwOBwBG3IJFbEMDw+joaEBK1euxKpVq1gCW2iyXKPRID09Henp6WAYBiaTCXq9HmNjY2hvb2c3LFKbOVYRKsIMhMy4fvK5ubnz2vwS90VSnyHP9mLEQtPAl18q8eqrKrz2mgr9/XN/NyyMQXHxHIls2ECjuNiFpTI25HtVqZSIjARiYhhkZbl/dsIJLlxyiQO7d2vQ3q7ElVdG4B//cOLRR63IyAjufgRq8iUTix/wtgz2N9UhBrFwu75I6kuv14vakusLsRgMBtTW1kKr1aK8vDxg1Va+i/ckgurv7w84dUhRFGJiYhATE4OVK1d6bFgdHR2wWq0A3BPDiYmJAeX5pYxQTMHzsaa3zS83Cm1sbGTdF8PCwthIiazrdAKffabEK6+o8PrrKoyOzu0NUVEMzj7bie3bnTjzTCcCyRItteecdJILhw6Z8eCDYfj978Pw3nsq3HhjOPbts/i/GAeBEos/bb5SQUiIhVtPCVSSRWhiWajrS+wU3GLEwjAMenp60NHRgdWrV2PFihVBbQp8D2PW1tbCarViy5YtvOWJvTesqakpHDlyBCaTCf39/aAoyiNtptFoeFk3FBA7YhFyCt47Cp2dnWXTZmazGR9+eAidnStx6FA6PvggBnr93KYfF8dg2zY3mXzjG04E24DJreMufL3Az39ux5lnOnHaaVF4/30ljEYEVXMJpMV5OUrmAyEiFjKHEkxxUqlUCjbHstjAo9hDhAut53A40NDQgKmpKWzatIlVvg0GfEUsZBgzLi4OVVVVgvpekG634uJiAO5ajl6vx9DQEFpaWlj5Eq1Wi/j4eF5mF8SUdFmuEctiILIzERHROHQoHi+9pMSXX6ZgenruPYuNteO006axY4cT27ZpEBnJ3zNEGgZ8yZKUl9MoKnKhpUWJd95R4TvfCXzPCUQpZDnaEgMhTIUFO20rROQwX+pLjHUXw3zEQgrhERER2Lp1K29Da3wU74ntcl5eHvLy8kTZpAi4ef68vDxWvkSv16OlpYVtj01MTIRWq/VL9TdUOBaJZWSEwvPPq/Hss2r0988VRFJTaVxwgRPnnWfF2rUTmJ52p86+/NLq0SUYExMTVJegv1P355/vREuLEm+8ETyx+Huw4XuORSxIoissEPAdsfg68Ch2xOK92ZONm1sI5wvBFO+5vi6+qBDwvXnNd91c+RLSHkvy/F1dXVCpVB6zM1IzNxM7FSYksdA08NFHSjzzjBqvv66C0+leIy7OiTPPHMM118SjstIF935PAUhGerr7GSJeJURIk3QJBjpcGwix/P73Ghw8qILFgoBTcYEQi9lsXnZ+90CII5ZgoFKplpQA9xX+aH2FKmKhaRrNzc0YGRkRTD4m0FSYzWaDTqeD0+lEVVWVJDu1uO2xK1asAE3TbBNAX18fmpqaPMyySNdSqLHcIxa9nsI//qHC00+Hoatr7vvcssWJK690oLy8G1brJNavX7/g7/D2KjGZTDAYDJiYmGCHa7m2zUsdEPwlltJSGpmZNAYHFfjwQyW2bQvs/Q+0eC/F92kpLOuIJdgN3pfUlzfElpYn63355ZesIZdQD1ogqbDJyUnU1NRAq9WiuLjYr3oKHxtYoL9DoVCwGxHgJkeSNmtoaPCYnRFDjHE+hKLGwocgJMMAX3yhxFNPqfHKKyrY7e7fFxPD4LvfdeDKKx0oLnY/Z729NOx23zd5bpcgsfYlw7X9/f1oampiveQXqqv5W+ugKOCMM5x47rkwHDqkCphY/CU00uQgRywiIlhiCVTry1974mAxNTUFu92O1NRUFBUVCSqc528qrL+/Hy0tLSgoKEBOTk5I6xXBpo00Go3HVDk5FRMxRo1Gw8rKiyV+GopUWDD3cGoKePFFNZ5+Wo3m5rnntKTEhauucmDnTsdR7cHBaoVxh2sBdzciSZu1traytgDc+kwg3Vl6vfsa09ICf/cDjVjkGouICIZYgpG5VygUsNvtAa3rD4imVnd3NyiKYruehISvqTCaptHU1ITR0VGfxC2FhBBkNt+pmGxWLpeL7XjjSs4IRapie6MEsl51tQJPP63Gvn1qmM3ufx8ZyeCb33RHJ2VlC2/GfMvXc73kGYZhbQGMRiP6+vr+d22RcDqdfikHNzS4CWH9+uCIxd/harkrzE8E+8IEQiyBpL7mW1foiIVryFVSUoKamhpB1yPwpTHBarWipqYGDMMIqursL4Q83SuVSnZ2ZmRkBGvXroXdboder0d/fz8AeDQB+CL46QukHLE4ncCrr6rwpz+Fobp67hS+Zo0LV17pwHe+44AvHfBCyuZTFIXIyEhERkZ6yM709fVhdnYWX375JRuJEumZ+Tb+6Wmgp8d9jcXFgWdJXC6XX8+Gy+WCxWKRIxYx4W9XmMlkQm1tLRQKRVAbotA1lsnJSeh0OnYGxOl0HjWZLBSWilgMBgN0Oh2Sk5Oxdu3akHiGSwEajQZJSUlsMXl6ehoGgwHDw8NobW1FRESEx2YVzPcUihrLYpiZAf72NzUefzwMfX3uzTYsjMGOHU5cdZUDW7a4/NLVEtOxkrSja7VauFwurFu3jq3PENkZ0sCRkJDA2gI0N7s/Z0YGjWCC80DcIwHINRYx4U/EQlJfK1asQGFhYVAnJKEiFq4h16pVq7By5UqPYrpYxDLfZ2MYBn19fWhra+Nlwp9PhPo6KIry0Miaz/o3Pj6eJRp/3ABDVbyfD0NDFP7yF7c449SU++8kJdG49loHrr7agaSkwNvUxdTeI2sqFAqoVCoPWwDSwGEwGNDU1MTKznz0UT6AqKCiFSAw90gAcsTiD/hoN16KWPhIfXlDiIjF6XSiqakJExMTKC8vZwuRZD1AHCvV+Yr3xCxMr9ejoqICCXzqiPMIqSgce8/OcK1/e3p6PIrNS7XGSiEV1tiowJ/+FIaXXlLB4XD/WUGBCzfc4E53BZsJDYWD5EKRg3cDB5l7qq8nMzd9aGwcZzvO/E15+lu8N5vN0Gg0gipXCIXld8X/w1IRC1+pr/nW5TNiIYZcarV6XkMuLrEIDbKpkA3GYrGgpqYGCoUCVVVVvNUO+EQoIhZf15wvxz9fayxXcsZ7kxU7YnEfLoAPP1Ti4YfdAowEJ5zgxI032nH22WSQMXiImQoj8CVy4M49jYy4C/ynnBKPiAgThoaG2JQnIZmEhIQlCcBfYjGZTMtCHWI+LGtiIR7S3g8Jn6kvb/AZsYyMjKChoQFZWVkLXqeYxMJdi9R60tLSsGbNGkkMCy4GqUQsi4FrhJWfn886MnJTL9zZGTHb2gHAZmPw3nsZ+MlPItkuKIXCXT/50Y/sqKgQxlUxFBGLr2tOTgJ1de6/u3lzOCtV5HQ62bRZZ2cnLBaLx4DtfOZ0gdRYlmNHGLCMU2HkBnFPH0KkvuZbN9gXnqZptLW1YWBgAOvWrVvUkIsMrIkZsfT09KCrqwtr1qxBVlaW4Oser/B2ZCSKv2SiXKFQQKFQYGxsbMGOJT4wNQU8+6wajz6aiZER95YQFcXg8ssduP56O1auFI60Q5UK83XNZ54Jg8VCYc0aF4qK5t5BlUqF5ORkVgHDarWybc3EnI5bW4uMjAwoFeZPTU5KWNYRCzDXGz47OwudTsd76ssbwUYs3oZcvpxIxNInI2v09fXxppi8GPhQU16OL918IIq/0dHRyM7OhsvlQldXF8bGxtDd3Y3Gxkb2REx8Z4LdkPv7KTz+eBiee06NmRn396jV2nDDDcD3v28Hp9QnGEKRCqNp2iddOJsNeOwxN5nfeKN90W638PBwZGRkeMjOECWHzs5OqFQqOBwOGAwGhIeH+2TnsFzlXIAQE0swGwuRvXY6nYKmvrwRTMRC2nWTkpL8MuQSg1hIrQcAKioqll2L43JIhfkDpVKJqKgoREZGorS0lD0REyFGAEdJzviK1lYFHnwwDP/+95wY5Jo1Lnzve3ps2NCIE06oEOQzzQcpp8L+/W+3yVhGBo1vfcv30QbugC05JExNTUGn07EHBWLnkJCQgPj4+Hn3guWqbAws44gFcG+4bW1tMBqNgqW+5lvT34glWEMuoYllfHwctbW1yMzMhMlkEr39MxgcKxHLQiCfz/tE7O0vz52dWWijOnJEgQcecHu5M4z79558shM33WTHGWe4MDY2jf/Ne4qGUKTCfCne0zTw8MPuqOb66+0IRvhaqVSy0X9JSQkUCsVRLelxcXHsQYFEo3zaEj/++ON4/PHH0dPTA8DtX/Sb3/wG27ZtA+C+D3fccQeeeOIJGI1GVFZW4tFHHw1Y8WPZEsvs7CxcLhdmZ2dFnQD3N2JxOByor6/H9PQ0Nm/ejLi4OL/XFIpYGIZBV1cXurq6UFxcjIyMDPT29opeNOYDx1rEAiz8mSiKQmxsLGJjY1m7ZrJRtbe3w2q1ciRnElFdHYcHH9Tggw/mXvfzz3fg5ps9C/Jiz80AoUuFLUUs//2vEq2tSsTGMvje9xy8rAm49w+VSsW2pAPwaEnv7+/H+Pg4nnnmGaSlpbFZnWC/o6ysLNx7771YtWoVAOC5557D9u3bUVNTg+LiYtx333144IEH8Oyzz6KwsBB33XUXzjzzTLS2tgaUvViWqTCS+lKpVCgsLBRVVoTMevjycBJDrsjIyKAMuYQgFqfTibq6OszMzKCyshKxsbHsWsttkw6FtLxYa/ny2bwLyWazGRMTBvznP8Czz0agrc196lUqGezcacNPf+pZiOauJ9W0lNhr/vGP7nf1yivt+N+rERQWs0OOiIhAZmYmMjMzwTAMuru7UVNTg3feeQdtbW3Izc3FmWeeiTPPPBMXXXRRQBmFCy64wON/33333Xj88cfxxRdfYO3atXjooYdw22234eKLLwbgJp7U1FS88MILuO666/xeb1lFLC6XCy0tLRgZGcHGjRvR2dkp+iZImgaWejiJIVdubi7y8/Ml40UPuHO3NTU1CA8PR1VVlQfh8WVPLDaW4zX7An+fG4cDePXVWDz4YBJaWtzPqkZDY8cOAy68sA1RUeOYno5GR8ec7wx5pkMRsUhpQJLgq68UOHRIBbWawQ9/GHy0Arj3Ll/skCmKQl5eHu666y7Y7XaccsopuOiii/Duu+/ikUcewc6dO3m5lpdeegmzs7OoqqpCd3c3RkZGcNZZZ7F/R6PR4JRTTsGhQ4eObWKZr+urp6dHVG8UwLMbbb48NrflmS9DLj7bjUdHR1FfX882OnhvJGI7ZPKBY7XO4g9ZWizA88+r8fDDcxpesbEMrrnGjh/+0IGUFA2A9WxnksFgQHNzMxwOB9sW63Dws4n6Aymmwkht5TvfcSI9nZ8DS6DukRkZGTj77LNx9tlnB30N9fX1qKqqgtVqRXR0NF5++WWsXbsWhw4dAgCkpqZ6/P3U1FT09vYGtFbIU2G+YKGuL7HdHIG5a55v8zWbzdDpdKAoite6Dx+bPcMwaG9vR29vL9avX7/g7IwcsUgLS70jU1PAX/8ahsceU2N83P1eJCfTuP56B66+2g7vkp5arfaQlTebzdDr9ewMBkVRaG5uZhsBhG7kCEUqbLHifWurAq+95t4Wb7yRP3uMQDxg+CzeA8Dq1auh0+kwOTmJ/fv34//+7//w0UcfsX/u/awFE8FKOmLxTn15d32FiljmW3d8fBx1dXVIT09HUVER79P+wRCLw+FAbW0tzGYztmzZsmgxTqxhTJPJhKamJoSHhyMxMRFarXZZaiIJicXIcnycwmOPqfHkk2GYnna//NnZNG680Y7LL/dNw4srW5KdnY2enh7o9Xqo1Wr09vayszPk/sw3TR4spFTXoWlg924NGIbCeec55q1DBQopmHyFhYWxxfuKigp8/fXX+OMf/4hbb70VgFsJJD09nf37Y2NjR0UxvkKyb7IvA4/+SufzBe5GTwy5enp62M4qIdfzF6SBICoqClVVVUueQMUo3o+NjaGuro7teunq6kJjYyPbyZSYmOjXxLHYqRSx1pvvxNjbS+Hhh8Pw/PNqWK3uPysqcuHHP7bjm990IpgAg6IoaDQadvOx2Wxs2oxMk3NnZ/gY3gtVKmy+Tf6ZZ9T47DMVoqIY3Huvjdc1AyEWoedYGIaBzWZDbm4u0tLScPDgQZSWlgJwe0J99NFH2Lt3b0C/W5KpsOHhYTQ0NCw58BiKiIW7rt1uR21tLSwWy5KRQDAIlFjI9+hPA4GQqTDv9uakpCTQNI2CggK25VKv16O3t5dVASan5aUI8VhPhbW0uGdQXnpJBZfL/bPychd++lM7tm1z8iIK6U1kGo0G6enpSE9PZ6fJ9Xo9xsbG0N7ejvDwcA/fmUAiTql0hQ0MUPjNb9zT8L/5jQ05Ofw+T/5K5gNzki584Je//CW2bduGFStWYGZmBi+++CI+/PBDvP3226AoCrt378aePXtQUFCAgoIC7NmzB5GRkbj00ksDWk9SEQs39bVhw4Ylw7BQRizT09Oora1FXFwctm7dKmgax98ogqtF5u/gqFDFe5fLhfr6ekxOTmLz5s2IjY31KBZzWy6JCjAhmcbGRsTGxrLeGTExMR4b4LFcvG9sjMLdd4fj9dfniPW005y4+WY7Tj7ZP1MtX9ZbaPPjTpOT2ZnJyUkPEUZyj8iQ31L3hRjYhZpYGAb48Y/DMTNDYfNmF669lv8mhkBTYXzVWEZHR3H55ZdjeHgYcXFx2LBhA95++22ceeaZAIBbbrkFFosF119/PTsg+c477wR8WJYMsXBTX1VVVT6F2SqVCjYbvyHrUmAYBi6XC62trSgoKGANuYSEP5u93W6HTqeD3W73WYuMCyEiFiK/r1QqUVVVBY1Gs+gaXBVgwJ2SIQXm/v5+UBTFnpSJSdOxFLEQ2fq7716Jr76ae7EvuMA91FheLkwNzJ9irUqlYu2aAc8hv76+PlAU5ZE2m89ygdwzMYllvhm0l15S4b//VSEsjMEjj1ghhDGqv8V7IkrKVxbkqaeeWvTPKYrC7bffjttvv52X9SSRCvM19eUNsVNhTqcTjY2NsNvtyM/PR25urijr+kosU1NTqKmpQVxcHMrKygKKovgu3huNRtTU1CAlJQVr164NaBPRaDSsnAlN06wV8MDAAJqbmwEAAwMDSE9PF6TALBZoGnjjDRX+8Ic5H3mlksZ3vuOuoaxeLWxTRTD1Du+Ic2ZmBnq9HkNDQ2hpaWG1sYjkDFfBQsyIkzsBDwATExRuucWdArvlFjuvBXsuQh2xiI2QEgtxJ/Q19eUNMYnFZDJBp9NBrVYjNjZW9Gn/pTZ7MpBJCC/Ql5XPiKW/vx8tLS282hkrFArEx8cjPj4eeXl5sNvt+Pzzz2Gz2VBfXw+GYTyiGV9UZEMNh8MtePjQQ2FobXVvPhERDHbsmMB3vjOIb3wjX5Tr4GtAknjLx8XFIS8vz8OuuaWlBQ6HA3Fxcax+ViiIhRw+brlFA4NBgXXrXNi9m7/2Ym8EOscii1AGAIPBgOnpaZ9TX94Qi1hGRkZQX1+P7OxsFBQUoLq6WtRIaTFioWkaLS0tGB4eRmlpKZuaCGatYImFe01lZWVsukoIhIWFQaFQIC8vDzExMR4n5dbWVvaknJiYiLi4uKCjGT5TbmYz8Le/qfGnP4Whv999XXFxc0ONMzNDsNvFG1oUavLe266ZWP5OTEwAAL744guf7ZqDBZdY3npLiX371FAo3CkwAZf1u3jvcDhgs9lkYgkEycnJiIuLC/hhFppYaJpGa2srBgcHPSIqvu2Jl4JCoZh3Ktpms0Gn08HpdAZMzt4INhVGajzEb0YMPwny/HDFGXNzc9kpc71ej8bGRrhcLiQkJLAFZjGjTi4mJ+eGGicm3JtNSgqNXbscuPLKuaHG6WnxPe+FTiNyZ2eSkpLw+eefY+3atWxtpqmpycOJkY/DABdEWmV6msKPf+yu+9xwgwNlZcK+zy6Xy6/o2WQyAcCys68gCHmNJZgTkpBdYVarFTqdDi6X66giOJ/2xL5gvohlcnISNTU10Gq1WLdund9h9mJrBXoqn5mZQXV1NWJjY5es8fB9Mp7vmr2nzEm77OjoKCs1T0iG5P2FxNgYhUcfVeOpp+aGGnNyaNx0kx2XXXb0UKPY2l1ir0eK6IREAHjYNZPDQHx8vMdhIJhrJGv+9rcaDA0pkJdH4xe/EL4ByN/ivdlsBgC5xhIKCBWx6PV61NbWIikpCcXFxUc9EKGIWLjrkdpFQUEBcnJyeN0MAq2xkHShvzMzYmG+dlmygZG8Pzea4TPS6umh8Mc/huHvf1fDZpsz1iJDjYv1WIhNLGJ3aHmv523XbDKZYDAYMD4+jvb2dmg0Go+0mb8NKjRN47PPMvH00+681yOPWCGGSaO/NZbZ2VlEREQIftgRCsuaWFQqFa/EQiSrOzs7UVRUhKysrHlf7FBFLDRNo6mpCWNjY4LVLvydY+EqDwTSgMEHAtl8uZ4YXL95soFxpWYSEhICesGbm91Djfv2zQ01btrkwk9+YsM557iWHGoUu4U6FBHLYutxDwM5OTlwuVyYnJyEXq9n1RpiY2NZkomNjV3y+pualHjwwfUAgJtusuPEE8V5j/2tsZhMJkRFRS3bGa2Qp8KCAZ8RCzHkmpmZWdKQS+w2Z1Jj+fLLL8EwDKqqqgSrD/gTsTidTtbETEjlAV8QzCbs7TdPhv/0ej3a2tpgt9sRFxeHxMREn9b56is3obz5pudQ409/6t7I/Hnsj+VUmL8RklKpZIdkAXjYNff/z/qSG3V6z84YjcA11yTCZlPhtNOc+O1vxZuBCyRiWa5pMEACEUsw7a1KpdJn063FMD09jZqaGkRHRx/lTzIfFAoF7HbhWhO9YbFYYDQakZGRgbVr1woaHvtavDebzaiuroZGo/HpOxMSfG+G3OE/hmFgsVjYAU2GYVBTU4OkpCQkJiayUiYMA7z/vhIPPBCGTz5R/e+6GFx4oRM//rE9oOKw1CIIIdYL5r31tmsm803Dw8NobW31sGuOjU3A1VdHo7dXhbQ0C55+evEUJN8IlFjkiCUE4HqjBPqAkiG7vLw85OXl+XQjxaqxMAyD3t5e9PT0ICIiAuvWrRNlyn8potfr9dDpdMjIyMDq1asD/u75/CxCpY0oikJkZCQiIyOxYsUKfPDBB8jLy8Ps7Cw6OzsxO2tBXV0+/vWvPDQ1uaNIlYrBd7/rxO7ddhQWBv6chKLmsVyJjKIodnaGdARyo86nnsrFwYPx0Ghc+O1va6HVrgUg7meVI5ZlAi6x+OsbwTXk8nf+Q4waCxke1ev1yM/Px/j4uCgv/WIRJMMw6OvrQ1tbG9asWYOsrCzBr0dqoCgK8fHxSErKwFdfrcEf/qBGR4f7NQoLc+Gcc/px1VWTKC6O+Z8kTXB+JsdyKkxIAUq1Ws3aNb/6qhIvveSu0N98czPS00fx2WdGj7SZ0BG3vxGL0MrGQiPkxBJMKoxYffrbchysIZfQEYvZbPbQ1pqamsLo6Khg63GxUPGe2zhQUVHB6ngFA76iDDHNyWZm1Hj44Ug8/XQURkbcm2J8vHuo8brrbFCpKBgM7iYQbnF5PvHMpXCsF+/FiMhaWhT44Q/d7/euXXZcfrkSExNa5OTksLWZpqYmREdHe0jO8H1d/mZVzGazHLGEEv4W0okXSEZGRsCGXEJGLBMTE6itrfUwDJuZmRGtvXm+Tdpms6GmpgY0TWPr1q3zCgqGEmJshu3tFB57LAzPP38m7Hb3yTMtjcauXXZ8//sOxMYC7tSKe3NatWoVW1zW6/Xo6+tjZzZ8PSUfixs9F0LXdKamgEsuiYDJROGkk5z43e9sGBpyp6SIyGl+fr7H7ExTUxOcTudRvjPBXCcRrpVTYcsIvhIL15o3WEMuISIWbquzd5pJDPMtAm9iIcKWCQkJvA5iLgcwDPDpp0o88kgY3npr7lVZt86BG25wYudO56IyINziMhHP1Ov17CmZuDMmJib61CorNI6lVBhNA9deG4HOTgWysmg895wVKtX8a3rPzpDW84mJCXR2dkKtVrMHgoSEBL/T7t7Cl76Ab/dIsbHsicWXWRZiyGW1Wnlpi+U7YnE6nWhoaGC9SrxbnYXySJkPFEWxn21oaAiNjY1YtWqVKPYAwYBP4rXbgf37VXjssTDU1s5tBtu2ObF165e4+upViIryb6qOK56Zn5/PujPq9XoMDAwAgEc0Q6wFjuUai5AR0t697sOARsPg73+3ICnJ/XwsVUT3bj0nszMGg4FNbxLJGZLeXOozBEIsco0lSAg9y2I0GqHT6ZCQkIDS0lJeDLn4jFhmZ2dRU1ODsLAwbN26dd70iJjEQtZqbW1Ff38/SkpKkJycLMragYKvzdBgAJ55Jgx/+YuarZ9ERDC49FIHrr/ejoICBh98oAdFrQp6LW93RhLNDA4Oorm5GdHR0exGL5bLYijajYVY77XXVLjnHrcu10MPWT1avf39Lr1nZ7jeQIODg2AYxiNtNl+9luxP/tZYhBRvFRohJ5ZgsRCxkFbd9vb2gKRP7HagtpbC558r0NhIoa+PQn8/YDJRsNnS4HAkQatVIzGRQWoqg6Ii939lZQzWrWN8sool9Z6srKxFfWjEJBaapjExMQGVSoUtW7Ysm1NTMBFLezuFxx8PwwsvqGE2u5+RtDQa117rwPe/b4fQ7ze3VZZYARgMBnR1dWFsbAxjY2MeVgBC1biOhVTYJ58oceWV7u/n2mvtuOwyz8aeQOTrueB6AzEMg5mZGRgMBlZ/jqvYEB8fz2ZUFAqFX9+tnAoLMeYjFpJaMhqNfnUw2e3Af/+rwL/+pcCbbyrYTeZoUADCYDIBfX3uv/P223N/mpjI4OSTaZx/Po0LLqD/V9idA8Mw6OzsRHd3t0/1HrGIxWQyYWBgAAqFAlu2bPE7l+wv+Jxh8BcuF3DwoBJPPhmGd99VgmHcv2PDBhd27bIvWT8REiTnr9frERUVhcTEROj1eoyMjKCtrQ2RkZEsyfDZwbTcU2E6nQLf/W4EbDYK55/vwL33Hj1ZT9M0b881V02b6M8R35n29nZYrVbExcUhKiqKrZP6+v3y6R4ZCoScWPhOhZlMJtTU1ECj0WDr1q0+SVWbzcBf/6rEAw8oMTIS/Iul11N4+WUlXn5ZifBwBuefT+P6612oqmLgdM5Jx1RWViLWm3XmASEWIV/88fFx1NbWIjY2Fmq1WnBSCRUmJig8/7waTz+tRm/v3KZ2zjlO/OhHdpx00tKSK2JtvmTj5YpnEtMsvV6P5uZmD/HMxMTEoKR+lvOAZHs7hYsvjsDMjLsD7OmnrfNO1guZVlSpVOzsDDBn1zwyMgKn04lPP/3UQ0Bzsb1JbjcOMbjS+cTiOCcnB6tWrfLpAdq/X4Gf/ETFC6HMB6uVwr59Suzbp0RJiRMXXdSEb3yD9ksGhXwOIV58hmHQ09ODjo4OFBcXs2mY5YbFUmEM49bv+utfw/DyyyrY7e7vMD6eweWXuz1Q8vPFnRnxBQtZAXiLZ+r1eoyNjXmIZ5Joxl+fdbHbjflYb3CQwo4dkZiYUKCkxIV//tOChbKF/k7ABwNi1xweHo729nYUFRWxtZnm5mY2GiW+M9zr4rN4f8899+DAgQNoaWlBREQEtm7dir1792L16tXs32EYBnfccQeeeOIJGI1GVFZW4tFHH0VxcXFAax4zxNLc3IzBwUFs3LgRKSkpS/47oxH40Y9U2L9fvPZZnU4Fna4Ub79N4777nNi0ybfNjLx8fJ+2XC4XmzIk3Wh9fX2itjYL+XtmZ4GXXlLjr39Vo65u7j6XlblwzTV2XHyx8ygPFKlhKfVf0sGUk5PjkYppbW2F3W738DJZah5jOabC9Hrgoosi0N+vQH4+jf37LUelnrkQqxGCC1LX4VpqExM6g8HARp7x8fEwGAyIj49n1Y35wEcffYRdu3Zh06ZNcDqduO2223DWWWehqamJXeO+++7DAw88gGeffRaFhYW46667cOaZZ6K1tTWglFzIiSXYB5lhGIyMjLCpL198NHp7ge3b1WhpEfcBI/j8cwVOPlmNH/7QhTvucGGp+8YlFr5gtVpRXV0NhUKBqqoqNiwP1kEyVOCSYVubAn/9qxr//KcaU1Pu5ys8nME3v+nEVVfZUV6+PD6fvwTPTcVwLYD1ej06OzsRFhbmYQXg3SEZilRYMNGDyQR861uRaGlRIiODxquvmpGcvPh3FoyuYKCYr2HA24SO3Ku///3vePbZZ6HRaPDYY4/BZDLhjDPOCKpD7G1uARjAM888g5SUFBw5cgQnn3wyGIbBQw89hNtuuw0XX3wxAOC5555DamoqXnjhBVx33XV+rxmanZUnEG9z0sHkC6m0t1M45ZSwkJEKAcNQeOwxFSorw1BdvfjLzDexGI1GHDp0CLGxsdi8ebNHrlfMYUy+QFEULBYK//qXChdcEIGKiij8+c9hmJqikJdHY88eK1paTHjsMeuyIRWCQDd6YgG8YsUKlJSU4KSTTsLq1atBURQ6OjrwySefoKamBr29vTCZTKxK+HLpCrPZgMsui8Dhw0okJDB45RULsrOXfm7FTIURLNWJxr1Xv//979HT08Omyfbs2YOUlBT85je/4e16pqamAIB17ezu7sbIyAjOOuss9u9oNBqccsopOHToUEBrhDxiCQQMw6CrqwtdXV3s6cyXh2Viwh2pCFVPCQRdXRROOUWNBx904uqr59/0iIUzH8RC1JwLCwuRnZ191EYiru7WDCwWCxISEgLaYBgG+PprBR56qBAffpgGk8n9DCgUDM45x4mrr3bgG99Y2lBLquAzgvCex+BGM93d3VCr1WwqLSIiQpTmjUCJxeUCrrsuHB98oEJUFIN9+8woKvLt3QhFKsxfMouKioJer8dtt92G1atXY3h4GBaLhZdrYRgGN998M0488USsW7cOgNv9FcBRJn2pqano7e0NaJ2QE4u/L47D4UBdXR1MJhMqKyt9FmikaeCyy9To6pIOqRA4HBR+9CM1urud+N3v5t8Ig205JkOPQ0NDi7pPipUKGxwcRGNjI+upQ9pnExMTl2xqGBmh8OKLavz97yq0tSkBuPPEOTk0Lr3Ugcsuc/h0epU6hCR4YgWQlZUFmqYxOTmJ2tpaDA0NoaurC7Gxsez9iI6OFiSSCaTGwjDAT36iwYEDaqjV7qn6TZt8f15DVWPxZ0273Q6Hw8HWNtLT03m7lh/96Eeoq6vDp59+etSfed/jYA42IScWfzA1NQWdTofo6Ghs3boVarUaJpPJJ3mVZ59V4KOPpH10/cMfVDAaKTzyiPMocgmGWOx2O3Q6Hex2O6qqqhZNGQqdCiOabX19fdi4cSNiYmJgNpvZqfOWlhZER0cjMTERSUlJrCKwzQa89ZYK//iHGu++q2StfiMiGJx44iguv9yJCy+MEzw6ETtNKEZqiohjUhSFDRs2QKlUstPlvb29UCqVHgOafEUzgaTe7rorDE8/HQaKYvDkk1acfrp/0kpSqbEsBpPJBAC8D0jecMMN+M9//oOPP/7YQ4swLS0NgDty4ZLY2NhYwFbjy4ZYFjLk8kWEUq8HbrtteXzUp59WQqUC/vhHp8c8RaDEMjMzg+rqasTGxqKsrGxJSRshU2FOp9Mj2tRoNLDb7YiKikJ0dDRyc3Nht9uh1+uh1+tRU6NDW1s8vvgiH+++mwyjce7lrKx04f/9PwcuusiB9vYWZGZmQqFY2E56OSIUsvkKhQLh4eHIzMxEZmYmaJrG1NQUDAYD+vr60NTU5GEFEIx4pj8RC8MA99wThvvvd9cDH3jAhosv9s8uAwhtV5ivmJ2dBQCfasa+gGEY3HDDDXj55Zfx4YcfIjc31+PPc3NzkZaWhoMHD6K0tBSA+zD60UcfYe/evQGtKfnd1uVyoampCePj4/OmcLhzLAvh6aeVMBqllwJbCE88oURuLoMf/3iOMANJUY2OjqKurg4rV67EqlWrfNoAhEqFWSwWVFdXQ61Wo7Kykj0QcEUv3esrMDycjldeycGBA2r09c1tAlqtBeecM4bvfMeKTZtiWetWKYtjBgMxu7QYhpl3PYVC4SEx7y2eSVGURzTjj2GWrxELwwC//W0YHnrITSp33mnDVVc5/PuAnDVDUbz353shkvl8EeCuXbvwwgsv4NVXX0VMTAxbU4mLi0NERAQoisLu3buxZ88eFBQUoKCgAHv27EFkZCQuvfTSgNYMObEs9mBxDa8W8gFZKmJxOoE//3n5Sb3/8pdKrFtH48wz3adWfyIWrmTM+vXr2VDXFwiRCpucnER1dTVSUlKwZs0atgNJoVAgLCwMDMOgocGtKPzyy2Ho6pq7X1FRDLZtc+C733XihBNmMTnp9p8/cqQdKpUKiYmJsNvtfpu9yZgfS230XPFMmqYxMzPDkkxzc7OH8m9sbOyim6Mv0QPDALfeqsGf/+zemO+5x4pduwIjFV/X5Bv+khmZYeHrUPH4448DAE499VSPnz/zzDP43ve+BwC45ZZbYLFYcP3117MDku+8807AsjIhJxZg/vQLEWjMzMxc1Fd9Kdn8L7+kMDjI76kvKYlBVdUwsrJsmJ52wGBYgbfe4nfSjmEoXH21Gl9/bUdKiu8bvtPpRH19PaanpwOyCOA7YiHS+wUFBcjOzgZN0+zL3d6uwP79Suzfr0Jz89z9DQ9ncPbZDuzYYcPpp9tBMgIKhQrp6elsioZ4mlutVrS1tWF8fJwtOAdrzrQYxIwixFqL3HN/1lMoFPOKZ+r1etTX17PKv2R2xvtguNQmT9PAj3+swTPPuEnlwQetAUcqZD2x1QWA0LtH+rJvUBSF22+/Hbfffjsva0qCWLigaRodHR3o7e3FunXrluyIWCpi+fBD/h6i++5z4oorXAgPt+LTT2ugUqmwefNmREYqANgwPQ288IICu3fzU9wcHaXws5+p8NxzTp8iFhLhqdVqvyRjuOArYmEYhr2PJSUl/4ssaHz+OYW339bgrbdUaGubuzdhYQzOPNOFb37ThXPPdSE6GqBpCgwTBpfLxUY55DsgmxqZUk5ISGCLzl1dXQgLC0NSUlJA0iZSgpgkFux63oZZJJoZHh5Ga2srIiMjPZR/F9vknU5g165w/POfaigUDB591HqUUrG/4D47YiKQ4r2QByMxIClisdlsqK2thc1mQ1VVlU9dEaRddaHTzxdf8PMQNTbakJ/vHi78/HMdlEolcnJyPApssbHAD35A46qrbHjgASV++9vgv95//UuJa65xQaVanFj0ej10Op2HpXEg4KN473K5UFdXh+npaaxZswUffhiD11+n8M47Ko9al0rF4BvfoLFzpxPnn+9CfLzn7yGfgbyUNE3PSzJkjikzMxMrVqyAy+VihRpbWlp4FWoUE2LXWAB+ZXaI8m9ubq6HhElTUxN7GCQKztx74nAA11wTjgMH1FAqGfz1r1bs3Bl8qnO5EMtyl8wHJEIsFEXBYDCwhly+dC8RkBu2ULj5P3O+oPDVV3bk5THo6+tHa2srCgoKYDQaF/z7ajVw660unHoqjVNOCV57/Y47VLj77vmJhWEY9PX1oa2tDUVFRVixYkVQawU7L2OxWLF/fytqapLR0FCBzz5Twumc26wSEhicfbY7KjnjDBfi/GjkUigUHioEDMNgYGAA09PTyM7OZusspOCs1WpRWFjItjMToUZyck5MTERcXJzoG42vELMrjG9i8Ya3hAlRIZ+amsIXX3yBiIgIJCYmIipKi5tvzsSbb7rnVJ591ooLLuCnfhYqYgm0xrKcEXJiIV7vbW1tC06DLwYusczXXz86GtyL8q1vuVBc7ERDg7szrby8HFqtFtPT00tuwJWVDD7/3I6qquDI5ZNPFGhqikN6uud6NE2jqakJY2NjfvnOLIZAIpa+PuD99xV45x0XPvggHEbjZo8/Lyigce65bjLZsoWeV848kOvs6OhgBz7j4uLgcrlYwuHWDMLDw5GVlcWSD6kDNDY2wuVyeQxn+mKzICbEjljE2HQpikJMTAyUSiVWr16NqKgoGI1GDA4acN11UTh8WI2wMBp//OMATj9dA4aJ4OV7CMRwiw+EusYSCoScWCiKgsPhCHhjpCgKCoViwa6gYK3pTz7Zhq+++goAPDrTfJmfAYDSUgYPP+zAjTcGV3d5/fU0nHbaJPu/bTYbampqQNNuCX6+0ju+FO/7+twpxk8+UeD99yl0dpKXxv0ZIyIYbN3qwumnO3HuuTQKCni5NBYulwv19fWYnZ3Fpk2b2JfQO5ohRMO9TwqFAklJSazsvMlkwsTEBIaGhtDa2oqoqCi2NhPMjAYfCEXEIiZIu7FKpUJkZDJ+/etsHD6sQkQEjT/9qQ8FBX348stJaDQalvhJLS3Q9UIRncqpsBBh9erVPm3SC2GxTT46Gvif5lpAGB5uQVVVDNauXevxUCoUCp+v+coradx4Y+DXAADvv58Im83tkzI1NYWamhokJCRg3bp1vBamvYv3DgdQV0fhiy8U+Pxzt1Wzd5edUslg1apJnH22AuedF4GKCgfUalqQ06HVaoVO565xbdq0ad4GBW5thpAkN5ohhxCKohAZGYmcnBx2OJNEM7W1teyMBtnUQmF+JnYHWihEKKengW9+MwJffKFCTAyDl16yYuvWRACJbL2M68rItQLwpy1XJhbxIAliCRaLEUtSEhNUu7HTmY11645u2VUqlXA4fGt9VKmAW25x4r77Av+6zWYldLpwxMS4zczy8/ORm5vL60bgdAKNjUq891423n5bCZ1Ogdpat3IwF0olg5ISBpWVLqxc2YX8/AGcdNIGREdHg6Yd7AvM9yY1MzODmpoaaLXao4h+IZC/w41muP95RzMpKSlsV9P09DQmJibQ19fHzmgA7hy4RqMRfBMWM4oQW9kYcH++0VEVLr88Eg0NSsTHM9i/3+yh/aVUKpGUlISkpCQAYOtlBoMBXV1dUKvVLMlotdpFa7OhGI4kaVmZWJYhFptl2biRQW1t4L/74EEt7rzzaALxJ2IBgOLi4DeJQ4dc0GpbfDYzWwguF9DTA7S0KNDSQqG5mUJLC4WGBgpWqwZAqcffj49nsGULjS1bGFRV0aioYKBUWlFTUwOKolBSUgG1Ws1+H0KQyvj4OOrr67Fy5cqgCHW+BgBCMt7RTHR0NGJiYtiJc71ej+npaVY8k0QyS21ogULsrjCxTb66uqLwgx9oMTSkREqK26Rr48bF07BEPJN0/01OTrIk09jYiLi4ODbK9BbPDNVwJAC/iSVQjS6p4JgglsUilvJyGn/7W+CnlJoaBd56S4Ft2zwfeG6axRfwMXPY3q7Bli1bfD7NmM1uWf72doolkNZW939W6/ybSEwMg+xsPb7xjTiUlQFlZQwKChgPccfp6Wl8/XU1GzkAwnbc9PX1ob29HcXFxX6pCCyFpdqZuc+UUqlEamoqWlpasHnzZlitVnZmhmxopDbD5wzCsUosH36owC9/eRLMZiVWr3Zh3z4LcnL8O3xxyb2goID1mNfr9R7imYT8QyVACfj3XhBJl+UMSRBLsA/0YsRy9tnB7+gXXaRm51gI/I1Yvvwy+AfaYolBdLTn9PLsrJs8OjoodHa6/+vooNDVtbjigEbDoLCQQVERgzVr3P+tW8cgJ8eB99//DKeffvoCXXZu/bH8/HysXLnSY5Ke742JYRi0trZiZGQE5eXliPcedOEZ80UzpDZD0zQbzdA0jdjYWMTFxWHVqlWwWCyscCYZzuSj2Cx28V4sYvnHP1S44YZwOJ0UTjjBgRdesIKHhkbWY54rnklIpqmpCeHh4aBpGtPT06xqttAIlFjkVJgEsBixrFwJVFXR+Pzz4Db2jRvD8OWXDjal5U/EMjrKj17ZoUNxuP9+J0siXV0UhoYWfzni4hisWuUmkDkSobFyJTDffkfT87tVcs3VNmzYgJSUFI+5Eb5fUiJNY7FYUFlZKfpQo3c0Y7FY0NDQgPj4eI+0H0VRCAsLQ0ZGBrKystj0jF6vR1tbG+s7T6IZfz6H2KkwoU/zDAPs3RuGPXvcLd0nnTSAf/87ClFR/G9DXPFMwN1F2dnZyQ4ScxsztFptQCoVvoAU7v25j3K7sUSwVOvvlVe6giYWp5NCeXkYHn7YgSuvpH2OWGZmgDPO4K+b6Ne/PvqWJSS4ySMvz/1/8/Pd/61axUCrBfzZm8gLwD0tu1wuNDY2wmAwYPPmzYiJiWFTRkJ1ftXU1CAsLAybNm0KSTcWF2SYT6vVYs2aNQCwaDsz2dAKCgrYYvP4+Dja29vZQUAiNSOV4UyhSczhAHbv1uD5590b+I03mnHqqUcQEXGqYGtyodFoEBsbC6fTiXXr1mF6ehp6vR79/f1oampCTEwMe19iYmJ4uy+BNAzIEQtP4CMVtpi67SWX0Lj3XpozbxE4brxRjRtvBO69NxbFxYtf9yefUDjzTH5PQpdc4vIgjvx8N3nwBXIvSMRC5mUYhsGWLVsEL9ITM7fk5OSgpGn4gsFgQG1tLbKzsz18gICjazPzNQB4D2cSqZnm5mY4nU4PqRlvkcZjpXg/PQ1ccUUE3n9fBYWCwR/+YMNll83i0CHxakjAXPFeoVAgPj4e8fHxyM/PZz2ADAYD6urqWEdTEtEEMzTrb12HYRiZWKSCpSIWlQr47W9duOIK/japn/88EcDJAIDvfteFykoa6emAxQLU11N44AH+v9prrunHn/4UeDeYryCzLDMzMzhy5AgSEhJQXFwMQNgi/djYGBoaGpCXl4ecnJyQi/ANDw+jqakJRUVFyMzMXPDveddmFmtnTkxMRHJyMjucqdfrMTIygra2NkRFRbEkExsbC2D5F++Hhih861sRqK9XIjKSwTPPWLBtmwtmMy363MxCm3xYWBhrBcAVzxwaGmIdTQnJ+CsB5O8MC+COkAOVq5cKjhliWcqP41vfovGvf7nwxhv897G/+KISL74ofH/8xo1TAIQnFoqiMDExgba2NuTl5SE3N5dN/QhVpO/t7UVXVxfWrVsXVCs1X9fT09ODnp4eVpnZV/jTzhwZGYmoqCisXLmSFWnkSs7TNA29Xo+IiAjBagAEQsyxNDYq8M1vRmBwUIGUFBr//rcFZWU0u54UNbsWEs/kSgAtFmV6IxBikWssPCHYB1qlUsFmsy36d5xOB667rg6ffroRU1PCvqRCID7ehbVrg5AQ8BHESbC1tRUbNmxAamoqm+YRglRomkZLSwurwxbnjyqlACDXMzExgYqKiqBOjvO1My8WzSQnJ7MijcRSemxsDD09PYiNjfWoAQhB7nz+zrfeUuKaayIwPU2hsNCF/fs924lD4YsSCJnNJ57JjTK5NbO4uLijSMRfYpFTYRLCUqkwk8mE6upqaLWR2L/fifPOU8NmW15eBxddZIJKxb9lMBc0TaOxsRE0TWP9+vVISUkRlFQcDgfq6upgt9tRWVm55OlPaJBONKvVis2bN/N+PQu1MxMy50YzUVFRUCqVKC4uhkajYduZ+/v7QVGUx3AmH80NfBELTQO//30Y7r47DAxD4cQTnfjHPyxHtROHYtKfpumgBlmJeGZMTAxWrlzpIWja3NzsYc+g1WoRGRnpd/HearXC5XLJqTApYDFiGRkZQX19PXJyclBQUACKovD0005cfrkKNL08yEWjYXDttdOw2YQjFrvdjpqaGtafOyIiQtAivcViQU1NDcLDw7Fp0yZBJtf9AWlSUKvVqKioELwTbanhTLLBOJ1OREREIDU1lbUDJvMZPT09aGpqQlxcHEs0gVra8kEsMzPAD34Qjtdec39311xjxz332DBfFi8UqTB/veeXgkqlQkpKCitoOjs7C4PBwHYAhoeHQ61Wg6IonyMXs9kMAHLEwgeEGJBkGAZtbW3o7+9nUzoEO3fSUCrd5OJwSJ9cbr7ZhYwMBp2dwhALSbvExcVh3bp1+PTTT2EwGATL7U9OTkKn0yEtLQ2FhYUh7/wi7cQJCQk+a5DxDW40Yzab0dDQgISEBERFRR3lnMkdziQKAHq9Ht3d3ax2FhnO9JWwg01NdXRQuPTSCLS0KBEWxuCBB2y44oqFtfSWSyrMVxAJoOjoaLYDcHJyEt3d3ZidncUnn3yC+Ph4tglgIXUGk8kEiqKWjRndQpAEsQQLb2Kx2+2ora2F1WpdUAJlxw4ar7ziwOWXq2EwSI9cLr7YhdpaChERwC9+4cLUVHAGXAthfHwctbW1yMnJQX5+PhiGQVZWFoaGhtDZ2QmtVoukpCQkJyfz8rCPjIygqakJq1atQnZ2Ng+fIDiQduIVK1YgPz8/5J1oJG2blJTEtlt7tzNzvWbUajXS09ORmZnpMZzZ0dHBKgFzpWYWQjARyzvvKHHVVRGYmqKQnk7j+ect2Lx58Wc1VKkwsUQoVSoVkpKSYDQaERsbixUrVhylzkBIhnsAIPUVvr6bjz/+GPfffz+OHDmC4eFhvPzyy9ixYwf75wzD4I477sATTzwBo9GIyspKPProo2wXaKCQDLEEY4nL7Qqbnp5GTU0NYmJiUFVVteiJ7fTT3UZcl12mxuHD0hhUA4Abb3Ri714XLBb31H5YWPDOjt4gnVjt7e1Yt24d0tLS2M2LCD2azWaMj49jfHwcbW1tiIyMRHJyMpKTkxEXF+fXw08M3Xp6erB+/XokJyfz9lkCha/txGLBaDRCp9MdNTOzmNTMfMOZpIuNDGcSogkPD/cYzuRusoEQC8MADz4YhjvucNdTKitdeP55C9LSln6PQ9UVFoo13X4zR4tn6vV6dHZ2wmKxIC4uDocOHUJCQgKvWnOzs7PYuHEjvv/972Pnzp1H/fl9992HBx54AM8++ywKCwtx11134cwzz0Rra2tQdR7JEEswIBHL0NAQGhsbkZeXd9Qw20LIyQHef9+BBx9UYs8eZUiL+goFg7vvdmH3bhcoCoiMBHJzyZ/xRyzEeXJ8fBybNm1CbGzsvEV64lWSk5PDtl2Oj49Dp9MBACtnvpRXCVnPYDBg06ZNIS9Mknbi7u5ubNy4kZVkDyXIDE9hYSGysrIW/HsL1Wbma2fWaDTIzMxkNzOj0YiJiQm0tLTA4XB4eM34G0GYTMCuXeF4+WX3fb/ySjvuu2/+esp8CFWNJRRreg9YcsUzAXe9cXx8HG+//TZrKnjVVVdh27ZtOPPMM4PSyNu2bRu2bds2758xDIOHHnoIt912Gy6++GIAwHPPPYfU1FS88MILuO666wJe95ggFoVCAbvdjqamJpSUlPh9Gg4Lc3vU79xJ41e/UuKVV8T1bACAvDwGf/mLAyedNP9pjy9isdvt0Ol0cDqd2LJlCzQajU9Feu+2y6mpKYyPj6O7u5vV0EpOTkZSUpJHD77D4UBtbS2cTqcgnVb+gqZptLa2snbOZBAxlBgYGEBbW1tAMzz+DGeStCYpNOv1eoyOjqKtrQ1qtRpKpRJGo3HJIcDubnc9pbFRCbWawf3323Dllb55ExGIraYMSJfMIiIikJ2djddffx0HDhzA7373OyQmJuLOO+/EJZdcgtra2qBTU/Ohu7sbIyMjOOuss9ifaTQanHLKKTh06NCxQSyBpsJsNhuamprAMAyqqqqCGixatYrBiy86odO5sHevEv/5jwIul7APf2wsg5tvduHGG11YJAXOC7GQ/H1MTAxKS0vZbhUAfk1BUxTFSmIQufKJiQkPPazk5GRER0ejq6sL0dHRKC0tFd1kyRsulwt1dXWwWCzYvHlzyAukRNizr68PpaWlAVlzc+HPcGZERARWrFjBRqPt7e0wGo3sECA3muGeuA8edNdTJicppKbSeP55K7Zs8d/99XhJhfk7x2K325GSkoL7778f999/P/r7+5GRkSHItY2MjADAUd4vqamp6O3tDep3S4ZYAgGx6CWnTr42ipISBv/8pxODg8Azzyjx0ksKtLby+0Dm59O45hoa3/ueC75Eur540S+GiYkJNn+/atUqXuXuySa1YsUKtrd/cHAQvb29bBfT2NgYEhMTBZ8gXwg2m83D0jjUwpYMw6C5uRkTExPYtGkT7+2l/njNKBQKduaiuLj4KEmTmJgYxMYm4plncvHYY+7TT0WFC3//uwUZGYHVRUPVFSb24SYQW2Lu4XjFihVCXJYHvN9/PqLJZUssAwMDaG5uxqpVq5CVlYX33nuP9xxqZibwq1+58KtfudDSQuGttxT47DMKhw4p/O4kU6sZlJczOPVUGhdcQKOsjPFLdTjQiIVhGPT19aGtrQ3FxcVIT08XdOhRpVKx5FJUVITY2FiMj4+jt7eXNcTipszESIfMzs6iuroa8fHxKC4uDnl7s8vlQn19Pcxms2jpwcWGM2mahsViAeAeEo2KikJ0dDRyc3Nht9vR0DCNK69MRH29+wB38cUjuOMOE5KTtQACI+hQdIWFosYSiC2xWHIuxDRvZGQE6enp7M/HxsaCdrCUDLH4+pDRNI3m5maMjIygrKwMiYmJbArN5XIJdhJ1+5m48OMfu7thhoeBl15qArASs7Mx0OsBi4XGyIgBarUT2dlJyMpSISvLbai1ejXjc2FzPnA3BV9fDvJdjY6OoqKiAnFxcYKSCsMw6OzsRH9/v4fGFnfmgqTMOjs7odFo2FbmhIQEQV560mkllXZih8MBnU4HhmFCFjlxoxlyz8bHx7F+/XoA8EiP/ve/GuzalYPJSQViYxns3avHli0jGB3Vo6uryUNqxp82WTkVNj/ElHPJzc1FWloaDh48iNJStx253W7HRx99hL179wb1uyVDLL7AarVCp9OBpmls3bqVTX1RFAWFQrGkECVfoCggIwPYvHkKubnTSEuLxPT0NHsqXr9+PZRKCoD/ueeF4C+xkA3Mbrdjy5YtCA8PF3SSnni2TE1NLZjaIRLyxBCLdJk1NjbC6XSyyr9JSUm8pMxGRkbQ2NiI1atXL9ppJRasViuqq6sRGRn5v2cktDUnoglHDh4xMTFsNGOxuPDb34bjz392R1OlpU489dQscnNVoKhc5Ofnw2azse3MxAo4MTERSUlJSw5nHk/E4s+aJpOJV2IxmUzo6Ohg/3d3dzd0Oh20Wi2ys7Oxe/du7NmzBwUFBSgoKMCePXsQGRmJSy+9NKh1lw2xkJNnYmIiiouLj3opl9ILEwIkPUVkY/xpcw5kLeBoZ8f5MDs7iyNHjiA6OhqbN29mSZcU6Pm+PtJpBgCbN2/2yb9CqVSyMzFEdHFiYoI1XoqNjWWjGX8HxrhqyRs2bJDEzMx8g4+hBGkBn5ycxKZNm9jhSYVCge5uCldcEYnqavc7tmuXDb/+tRlqNQOXy50doCgKKpUKaWlpyMjIAE3TR81mxMfHs9GM92yG2DUWkvKTeo3FbDbzKsR6+PBhnHbaaez/vvnmmwEA//d//4dnn30Wt9xyCywWC66//np2QPKdd94JeiRA8sTCMAz6+/vR2tqKwsJCZGdnz7vJhIJYKIrC0NAQJicnsXHjRkHl3n0lFmK9mpWVhYKCArZQS6I6vmEymaDT6RAbGzsv4fsCrlR5Xl4ebDYbmzLr6emBWq32SJkttob3KVwK7cSTk5OoqamZ1ywsFCDdcVarFZs2bfI4CBw4oMSuXWGYnqag1TL4y1/sOPdcFwDNksOZRLKEdAp6T5pzpWbErrGQdLnUU2Fms5nXYd1TTz110W5biqJw++234/bbb+dtTUBCxDLfQ+ZyudhBvvLycmgXsUpUqVSiEovT6YTJZGKdFYXOi/pCLH19fWhtbcWaNWtYiQ+h6imAm8Tq6up4r1+QwT7yGchgX3NzM+x2O5tuSU5O9tgUpdZODMwNPhYUFIjS4bMUuDUertim1Qr8/OdqPPmk+39XVbnw7LN2ZGXNbUretRkuyXi3M4eFhSEjI4NNexLnzLa2Ntjtdlbo1GKxiHKfuGlgsUC+F3+IxWQyLXsvFkBCxOINon5LURS2bt26ZOeMmBGL2WxGdXU1ACA7O1u0YttCnWHEQ2R4eBgVFRWIj48XnFQGBgZYEhOqzx5w31cy4b969WrMzs5ifHzcw92PSMx0dHRApVJJop0YmBt8LC4uDrrLhg/Y7XZUV1cjLCwMGzduZDe8ujoKV1+tQWOje9P96U8d+PWvHVhMv5KkVAMZzjSbzWhubobFYsEXX3zh4WkSHx8vyOYvpPPpUmtKtXgvJCRJLCSdk5qa6rParFjEMjExgdraWmRmZsJutwu+HhfEMpgLcgK12WzYsmULIiIi2JOjUJ1fHR0dGBgYQGlp6aJRJN/gKsiSVtiJiQmMjIygq6sLCoUCaWlpMBqNSExMDFlxnO/BRz5gsVjY4dh169ZBoVDA5QIeekiF3/1ODYeDQnIygyeftOHMM/1va/dnODM8PJwlkxUrVrCeJk1NTYsOZwYDknoTk1gCiZKOBfdIQELEQibviTBiUVGRX6kDoYmFe21r165FZmYmmpqaBFEcXgjeEQuZz4iMjERlZeX/Ngv/J+l9hcvlQkNDA2ZmZrB58+aQvwBhYWGIjHR35OXk5CAxMZG1VLbZbOwpOSkpSbS0mNCDj4GANA4kJyejqKgIFEWhu5vCtdeG4dAhN/mef74Tf/qTHXyUCZcaznQ6nbDb7ew9SUpKYj1NiEPj8PAwWltbERUVxZJMbGxswMQQqo4wf8lMjlh4htPpRF1dHStU6K/wmpDEQpwVyWZBro27kYsBLrEYDAbU1NQgMzMThYWFR3l28A0yua5QKLB58+aQTdBzMTo6isbGRo/6RWJiIgoLC1ll5tHRUXaDIq3M/ioz+wru4OOmTZskUeMh6hRZWVnIz88HQOHZZ5W49dYwmEwUYmIY3H+/Hf/v/7n8Gtj1B9xoxuVyoaOjAyaTCfn5+Uc9t5GRkYiKisLKlSvhcDjYBoD6+nowDOPhnOnPM7gcZliIhluoRVr5gGSIZXp6GjabDVu3bg0o/OVK5/MJq9WKmpoaAEBVVZVHrUeoNRcCIRaiOlBUVMQWR4Wsp8zMzECn04XUCIsLbjvxfBL8xNqXu0FNTExgYmICNTU1UCgUHsrMfLhXSmHw0RsGgwE6nQ75+fnIycnB6Ciwa5cGb73l3uxOPNGFJ56we3jRCwlivkcOaMTEbCGvGYVCgZSUFKSlpYFhGExPT7P2zKQlnRBNTEzMos/+cpi6B+SIhXckJiZi06ZNAW+MQkQsU1NTqK6uXnB2RuyIhaIo9Pb2wmg0oqysDFqtVnBSmZiYYK2dc3NzQ94qy20nLi8v96nnn5hhca19yfR/fX09EhIS2JmaQKIMMvgYERGBDRs2hHzwEXB3o9XX17PNFf/5jxI33BCGiQkKYWEMbr/dgRtucEKsvZY7N1NRUcF+z/54zRC/edKSTqKZvr4+KJVKNvWp1WqPOiwshxkWQFxJFyEhGWIBgrMo5jt6GBwcRFNTEwoKCpCTk7Pg7IxYNRan0wmbzQan04nKykpERkYKTir9/f1oa2vD2rVrPbSEQgVvja1ASICYYSUkJLApMzIzwzUzIymzpU65xNZYq9VizZo1IY/mAPez29raivXr10OjScG114bhH/9wv+rr19N46ikbiovFiVIA96ZeX1+P2dnZo+ZmuPDHa8Z7OHNqaoq1ZyaadCSaIZGR1KfuSSpMjlgkBJVKBZvNFvTvoWkabW1tbNfTYiZQYkUs3PbmVatWISIiQlB5FpKyGB4eRnl5eVBGQ3yBTPdTFMVrqikyMhLZ2dnIzs72MDOrra0FAFZmZj4zMzL4KBUdMgCsgVlJSQk+/zwZN92kxvCwAgoFg5tvduK22xxBadb5CzJbZLPZUFFR4VddxB+vmbi4OCQkJGDVqlUew5nd3d1Qq9WIioqCy+UKKIoIFIEMRzIMI9dY+ESwLyUfqTCSJ7darT55u4gRsRiNRlRXVyM9PR3T09MeeWghTmBOpxP19fXskOFiPuliYXZ2lrVHCHS63xf4Y2Y2OzsrqcFH0gY+ODiInJxN+PGPtdi3z/16r1pF489/tqOqSrwORsD9LBFtv/Ly8qAOA94kA8Dn4czJyUn09fXBZrPhk08+OUpqRigEQiwA5FSYlBAssZCWzKioKFRVVflU0BU6YiFF+tWrV2PFihU4cuQIBgYGwDDMUVPnfIA0KoSFhUmmAD05OQmdTofMzEysWrVKtKhgKTMzhmFY6f9QpFm4mGtx1qO7+0RcfnkMDAYKSiWDm25y4pe/dEDsBjWHw4GamhoolUqUlZXx0iBBQL5rX6OZhIQEWK1WAMDq1auh1+sxMTGBjo4OhIeHs0oOfA9n+lvXMZlMUCqVIXdZ5QOSIpZAXSSB4IhlbGwMdXV1yM7ORkFBgc+bl1ARC0lFDQwMeBTpCwoKMDY2xk6dx8bGskXnYL1NpqenUVNTg6SkJMnUCuZrJw4VIiIikJWVBYfDgcnJSaxcuRIWiwX19fWgadojZSZmKzZN02hoaEBnpwPPPHMa3nvPvfaGDTQee8yG0lLxaikEZMJfo9GI0sywmNcMiWbsdjsUCgUrF0RM6YjUTHNzM5xOJxISEthoJtgN3t8aCyncS+HdCxaSIpZgEAixkAnprq4urFu3zu8CtRARC5nnMZlM7CQ9CfmjoqJYBWWbzYbx8XGMj4+jq6sLGo0GycnJSElJ8anozAXRs8rLy1uwUUFs9Pb2orOzc9524lCAYRi0tLRgfHwcmzZtYvPgpA12YmLCw8yMaJkJaWbmcrlQU1OLffuS8cwzhTCZKGg0DH7xCwd273YiFAEn6ZCLjo5mJ/zFxHwNAFNTUxgYGEB2dvZR0Qw5EJDCOVFyII0chGT8facAaXuxCI1jilj86QojHUaTk5OorKwMSAWX74iFyG6EhYVhy5YtHmTpXaTXaDQe3iZ6vd6j6Ew2tsXmNIi7ZGdnp2T0rEi0NjIy4nM7sdAgigOkq4nbjUZRFOLi4hAXF4f8/HwPMzNC+EKYmTkcDrzySiv+8If1qK93f0dVVS48+qgdq1eLH6UA7uf3yJEj7LyTFA4oJpMJtbW1yMnJQU5Ojkc7s/dwZkREBLKzs9nZJyI109DQAIZhPKRmfIlKAyEWKdQ0+YCkiEWsVBgRuFQqlaiqqgq4VsFnxGI0GlFTU4PU1FQUFRX5VaRXKpVISUlhZTG85zS0Wi2bMiPhPRGuJMrRUtrATSaTh0dIKOGtBrzUhiKGmZleb8Utt0xj374KOJ0KREcz+N3vHLj6avHmUrxBPIBSUlKwevVqSZAKmUPLzc3FypUr2Z8v1M7sPZyZnJzMNnLMzMxAr9ezdc+YmBi2NrPQcKbL5fJrbyGpMCl8d8FCUsQSDHwlFu4GHmwtga+IZWhoCI2NjSgsLMSKFSvYhzyQVmLvojM3vG9tbUV0dDQSExNhNBrhdDolIy/v3U4sBckY0swQHh4eUK3A28zMZDJhfHw8YDMzhgEOHHDipz+NwNiYW/xz2zYXHnzQjhUrQhOlAG5lhurqamRkZIjaYLEYCKmQ9O588Gc401v8lLQzk2eWKzVDml78berg2z0ylDhmiMUXP5b+/n60tLRg9erVyM7ODnpNErEwDBPQy8QwDNrb21kV3MTERN6HHom0SU5ODux2O4aHh9HZ2cmepnp7ewX1nPcFZE5H6HZif8D34CNFUUdNjhOZGa6ZGZkc9/4Oenoo7N6twMGD7iguO5vG73/vwHnniWtu5w2iRZadnS0JZQZgbr4oPz/f5/fcn+FMpVKJ1NRUVsmBSM309vZ6SM3YbDa/ZlKOFWVjQGLEEuzkPfekzwXXr2QpwzB/1wQQELGQeZGZmRls2bJFlEl6i8WCnp4eZGRkID8/n02ZNTY2wuVyeaRpxGo1Ju3EGRkZfnXkiXFNRLhRiGvimpnRNA2DwYCJiQm0tLR4mJnFxCThz3+Oxn33qWG1UlCpaOze7cSttzoR6kwhsQtfLCoQGyQjEWwnoT/DmbGxsYiPj2drbCSamZychMlkgtlsZp0zF2u7PlZMvgCJEUswIJu8d4sfSbE4HA5UVVXxmrfnKrb6c6IlRXqVSoXKykqo1WpBJ+mBudbdVatWsac4ckIuKirCzMwMxsfH2c6m+Ph4pKSkICkpSbBaB+lG415TqDE+Po76+npRW5y5ophcM7PXXrPigQfCMDTkTgtu3jyDxx9XoqhIlMtaFHq9HrW1tSgsLERWVlaoLwfAnOgm39fkj9cM0aXLzMzE119/Da1WC5qm0dnZCYvFctRwJvddl7vCJAgusZDTNsn9xsXF8T6kxV3TnzoLCdOTk5OxZs0aNq8LCOOhwjAMK/OxUOsu13M+Pz8fFouFbWVua2tjJeeTk5MRGxvLyzX29fWho6MD69atQwofJiA8gGhshbJDjqIojI7G4Je/1OL1193Pa0KCFbt2daGyshujowrQdDKrzByKtCERuJSKhhwwR3RFRUWCOpou5TXDjWZomkZMTAxSUlJQUFAAs9nMRjNdXV0ICwtjNemioqJgNpsFJ5bHHnsM999/P4aHh1FcXIyHHnoIJ510Eu/rSIpYgtmwSCcHOT2MjIygvr6enfsQIgogv9PXzrDh4WFWBiQ7OzuoIr0voGkazc3N0Ov1HrMXS4G0XRL9LNLKXF1dzXbLJCcnz1sLWAreOmRS6EZjGAbd3d3o7e1FSUmJqK6YXExPA3v3qvHooyo4HO7J+XPP7cGePSrk5a0ETWdjcnKSJXybzcYqM4tlZjYyMoLGxkasX79eMgeCiYkJ1NXVYc2aNaIT3UINAFNTU7BYLFCpVLDb7aAoymM40+VyscOZ+/fvx29+8xusXr0aqamp6O3tFSS1+K9//Qu7d+/GY489hhNOOAF/+ctfsG3bNjQ1NfGeMaCYQPt7BYDL5QpKofi9995DeXk5xsfH0dPTgw0bNgh+8jx48CCqqqoWPWkQHafe3l5s3LgRSUlJgtdTHA4Hamtr4XQ6UVJSwotMBE3T7MY2NjbG1gII0SzVycVtJy4tLZVEOzF38LG0tDQkAoAuF/D880rcfnsYxsfdz8IJJ8zgssuqsX17wbwioMQ7fnx8HBMTE5icnBTczIxEdBs2bFhUnFVMkNTl2rVrkZaWFurLAeDZkZaRkcEeIMlWSzIThJRomkZNTQ3uvPNOdHd3Y2BgAIWFhfjud7+LX//617xdV2VlJcrKyvD444+zP1uzZg127NiBe+65h7d1AIlFLMFCoVCgtbWV9X8XY5NYapaFDGJOTU2hsrKSVVkVklTMZjNqamoQFRWF0tJS3tIlCoUCWq0WWq0WhYWFmJ2dxdjYGNvbHxcX5yExwwWpdQGQTDux99xMKNquP/1UgZ/9LAx1de5Tb0EBjR/9qBurVrWhvLxswWd4PjMzElnW1NSAoiiWZPgwMyOpy1BGdN4gKbl169ZJYrgXmCMV744073Zm7+HMkpISREZGYteuXbjmmmvw7rvvYmxsjLfrstvtOHLkCH7+8597/Pyss87CoUOHeFuHQFLEEswmazabYbfb2al1sTauxWZZiLyFUqnEli1bRCnSG41G1NbWIj09HYWFhYJ1WVEUxfb2e0vMdHZ2Ijw83COS0el0rMyHFNqJvR0fxSa6jg4Kv/2tGq+84n4F4+IY/Pzndpx0Uh1mZ40oK/NvQFStViMtLQ1paWmLmpkF0ozR3d2Nnp4eyaQuAXczSkNDg6RSctPT02yk4p1aWqqd2eVyobGxEWvWrEFcXBx27tzJ67VNTEzA5XIdRcCpqakYGRnhdS1AYsQSKMigklqtRl5enqibxEIRCzm5JCUlYe3atYIX6QF3DaepqYkdtBQTC0nM6HQ6OJ1OREVFsRazoUawg4/BYGwMuPdeNZ56SgWnk4JCweDKK5345S9tGB6ug8ViWdQMyxfwZWbGMAw6OzsxMDCAiooKyfiEkDrPhg0bJKEjB8w1CuXm5vpUH/Guzdxxxx0wGo2CFNK58N53Ap3BWwrLmliI1lVbWxvWrFmDoaEh0RwdCeaLWEjjwKpVq5CTk8OGvUJFKURMs6+vDyUlJUhMTOR9DX9AJGYA93exYsUKKJVKdHR0oKGhAQkJCWwrs9gS4bOzs6iurhbd8dFkAv70JxUeekgNk8n9DJx9tgt33mlHUZGD9S2pqKjgfYaIa2bmdDqP0pWbz8yMWECPjY2x/vRSADk8SY1Ujhw5gpycHA/pGF/AMAzuvfdePPfcc/jss89QXFwsyDUmJSVBqVQeFZ2MjY0JkkZctsRCPLTHx8dRUVGBhIQEjI6OiupBD3hGLFy15I0bNyI5OVnweorL5WK9xDdt2iSZPvj+/n60t7d75L+JxMz4+DiGh4fR0tKCmJgYNmXmi6xJMBBj8NEbTifw3HMq3H23GqOj7vXKyly46y4HTjmFht1ux+HDbuFRPuthC0GlUh1lZjYxMeFhZpaUlISpqSnMzMygoqJCEk0WAFi7CCkcnghMJhNLKrm5uX79W4Zh8Ic//AGPP/443n//fcFIBQDCwsJQXl6OgwcP4qKLLmJ/fvDgQWzfvp339SRFLL6+6DabDTU1NWAYBlVVVeyplw8XSX9B1iSFYKPRiC1btohSpLfb7aitrQXDMNi8eTPvxl+BgMjUDA0Noays7KiOJm7B2W63sykaImtCSIZviRnSPSTWMCZNAy+/rMRdd6nR1ub+HLm5NG6/3YGLL3ZBoZgblI2JiQmJxDxXV45Y+hLHTLvdjoiICPT39yM5OZl3Eyx/QTrSNm7cKClSOXz4MFasWBEQqTz88MN46KGH8M4772Djxo0CXeUcbr75Zlx++eWoqKhAVVUVnnjiCfT19eEHP/gB72tJilh8AdEm0mq1R+lK+SudzweUSiXsdju++uorUBTFNg4IXaQXy67XH5AC5PT0tE+2xsRCNiMjw0MJuKGhwcM8K1iJmcHBQbS0tIjSPcQwwFtvKXHnnWrU17s34qQkBrfe6lYfJuU/ogZMjNWkIGUTFhYGg8GAsLAwbN68mVVjCLWZ2cDAANra2iTVkUbu34oVK5Cfn+/Xv2UYBn/+85+xd+9evP3226ioqBDoKj3xne98B3q9HnfeeSeGh4exbt06vPnmm4LMzEhqjoVhGNjt9gX/nKgAr1q1CitXrjzqZWxqaoJCoUCRiJoXX331Faanp5GSksJ6UHDlt4XYMAwGA2pra5GVlSUZNVlul1VJSUlQGw8xzyJdZrOzs2xXU3Jyss9twdzBx40bNwq6KTEM8MEHCtx5pxpff+0m+dhYBjfe6MCuXU5w7X7I4UjMlNxScLlcbKNFWVmZB5FzzczGx8dhMplEMzMjKdXS0lIkJCQIsoa/mJ2dxeHDh5GZmen3/WMYBk8//TR+9atf4Y033sCJJ54o4JWGDpIiFsCd5vIGmdbu7+9naxfzobW1FU6nU9BcJRejo6PQ6XTQarUoLy9ni/Rk+EkIkNN3UVERMjMzBVnDX5CUjlDtxFyJGaPR6JPEDCk+j46Ooqxs4XmQYMEw7lmUPXvU+Phj9+eOiGDwwx86sXu3A95ZG3IokJJwo9PpRE1NDQCgtLR0yZkXrpmZwWAQzMyMmNCVlpbOOyQaChBSCcQigGEYPP/88/jZz36G1157DaeeeqpwFxpiSI5Y7Ha7R0sqmSC3WCwoKytbtDulo6MDZrMZGzZsEPQayUm4s7MT8fHxiIuLQ15enuCdXx0dHRgYGBD89O0PpqamoNPpkJqaKorBE3cQcGJiAkqlkt3UiMQMd/CxrKxMkMFHhgHefVeB++5T49AhN6GEhTG46ionfvpTB+YbAicDfWvWrBFUz8of2O121NTUQK1WY+PGjX4fCkgKkxANMTMjopqB1v16e3vR1dWFsrIyyczOmM1mHD58GGlpaX4rcTMMgxdffBE33XQTXnnlFZxxxhkCXmnoIWliIZ4YkZGR2LBhw5J59p6eHhiNRpSWlgp2fTRNo6GhAQaDAWVlZRgYGIDD4cDq1auhUqkE6/xqaGjAzMwMSktLJdP6SfLv+fn5ITl90zQNo9HIRjMOhwMJCQkwm81QKpUoKyvjvRZA08Cbbyqxd68K1dVzhHLFFU789KfOBQ23hoaG0NzcLKmBPpvNhurqakRGRmL9+vVBRxpcM7OJiQlMT0/7bWYGeA5kBmIZLgTMZjPrkBnI4PH+/fvxwx/+EP/+979x7rnnCnSV0oFkiYX02a9YscLnG9nf34/R0VHBimHcbrTS0lKEhYVhZGQELS0tYBgGSUlJSElJ4VV11mazQafTQaFQYOPGjZKQQgHmct+hVALmgmEYGAwGtvDvcrkWlZjxFy6Xu8vrvvvUaGx0b8AREe4IZfduJ9LTF36Nent70dnZKanis9VqxZEjR9jmDyFSt1wzM71eD5VKxTZjLCRgSuaxysvLJTOQabFYcPjw4YBJ5T//+Q+uuuoqvPDCC4K09koRkiMWm82G7u5udHR0oLi42K+UwdDQEPr7+1FZWcn7dZEhqPj4eKxbt86jSA+ALTaPjY3BarUiMTGRHQIMlAxIxJaQkIC1a9eGtN2TgKTkBgcHUVJSIqncN3fwkdvKbDAYWImZlJQUvwQaHQ7gX/9S4ve/V6O93f39x8QwuO46J370IwcWm9HjTq6XlpZKKqVz5MgRJCYmitaR5h1d2u12aLValmg0Gg26urrQ398vSVJJTk4OKNX75ptv4v/+7//w3HPP4Zvf/KZAVyk9SIpYGIbBkSNHoNfrA3oRR0dH0dnZia1bt/J6XWNjY6itrUVubi5bSyFfm/dmzzAMOwQ4NjaGmZkZ1jTLn46miYkJ1NfXIzs7WzDZf39B0oDT09OSSsktNfjInTafmJgAADaSWSi6tNmAf/xDiT/8QY2eHvc9TkhgsGuXAz/4gRNLNShxVZPLy8sl812Rgb60tDRBteQWA/cdmZiYwNTUFNRqNdt4k5qaKonn3Wq14vDhw0hMTERRUZHf1/Tuu+/i0ksvxZNPPolLLrlEoKuUJiRFLIC7TqLVagMq+k1MTKCpqQknn3wyL9dCTLI6Ojqwfv16pKam+j30aLVaWZIxGo2Ijo5mT84L5Zz7+/vR1tYmKSMl0k5M0zSbBpQC/B18ZBiGlf4fHx+H1WplT87JyckwmTT4619V+POf1Rgbc9+b5GR32/A11zjhy0GaEPDMzIxgzQOBgIgkSqnNmXTvDQ0NIT4+HlNTU6yj5mLELzQIqZAI2N/v6qOPPsK3v/1tPPLII7jiiisk8V2LCckRi8PhCFjvi3hwn3baaUFfB03TaGxsxMTEBMrKyhAbG+thQRrIg+JwODAxMYGxsTFMTExAo9GwJENSSsQES0ppJovFwjZRrF+/XhLDmMBc63VxcXHAXhzk5FxdbcI//pGCDz5YAZvN/fkyM93+8t/7nu/+8i6XC7W1tbDb7YI0DwQK4lyam5vrt56VUCBjBKOjo2xUx/X8GR8fD4mZGak/xcfHs7Np/uCzzz7Dzp078Yc//AFXX331cUcqgASJxel0BizLMj09ja+++iroVj7SgulyuVBaWgqNRsO7kCRp0xwbG8P4+DiAubRaWVmZZDS/pqenUVNTI1o7sS8gkWRPT09QrddkBuXhh1V46y0lGMb92VavNuH889vwjW/okZ6e5LOkicPhQE1NDeuvwbcVdqAgXvAFBQWiq14vBBKpkFThQioN3JSZGGZmNpsNhw8fDphUvvzyS+zYsQN79uzB9ddfL4n3JRQ4pohldnYWn376Kc4+++yA1yc56NjYWKxfv16USXqLxYIjR46ww5UOh8Oj+M+32q2vIGkmMswnhZeEj8FHh8Pd4fXwwyrU1MxFX+ee68QNNzhx0kk0aHpOYmZ8fBw0TXukZ7zvCWndjYiIkFRUR+6h0F7w/oDUnyYmJlBRUeFzFOI9w0RRlMc9CZbIbTabR6ecv8/7kSNHcOGFF+K3v/0tbrrpJkm8L6HCMUUsNpsNH3zwAc4666yAOqhIi3NOTg7y8/MXLdLzhenpaeh0Oo8OHZPJxEYyJpOJlZlPTk4WTWae6DNJpZ0YQNCDj8PDwLPPqvDUUyoMD7vvZ3g4g8suc+JHP3KisHD+V2EpiRmGYVBdXc2ecqXQvQfMmWEFkyrkGwzDoLm5GQaDAeXl5QGntoiZGen8M5vNQZmZuVWmD7OCoP6SQm1tLc477zz8/Oc/x89+9rPjmlQACRJLML73TqcT7777Lk4//XS/TvkMw6C3t5edy0hPT2dnIYSapAfc3WYNDQ1s3nu+dSwWC0syk5OTiImJYUlGiHQZt51448aNktFnIgoMJD3pa+2CYYDPP1fgL39R4ZVXlHA65wry113nFob019aDa5xlNBoBADExMSgqKlpQYkZsEIn59evXS8a3hGEYNDU1wWg0oqKigtdDkvc9iYyMZKOZxczMgDnb3qioqIBUphsbG7Ft2zbcdNNN+NWvfiWJ+x9qHFPEwjAM/vvf/+LUU0/1+aElvi5jY2OsfITQcvfEoKyzs9OviMBut7OnZr1ej/DwcJZk+Mg3k4aFqakpSbUTE8dHjUbjs+zI7Czw738r8Ze/zKkMA8CWLS5ce60TO3a4EKzLwOTkJKqrq5GYmAiKoqDX66FUKtlIRqvVhiR6IcOrUpKYZxiGfbbKy8sFjby928vJ8DL5j3voDJZUWlpasG3bNlx77bW48847ZVL5H44pYgGAd955B1u3bvXpNG+326HT6eBwOFBWViZIkd4bNE2zznwlJSUBD825XC72hDY+Pg6FQsGSTCAbGjciKCkpkYS3CzA3+OjrkGhdHYVnnlHhxRdVmJ5237+ICAbf/rYL117rQEkJP4/7xMQE6urqPAri80nMcKX/xegQ6+npQXd3t6SEG8mBZWZmBuXl5aI+W1wzM5LGJGZmCQkJaGpqCljSpr29Hdu2bcP/+3//D/fee69kUqBSgOSIhaZpOByOgP/9e++9h4qKiiU3bJPJxCrykmKr0J70TqcTdXV1sNlsKCkp4a11kruhjY2NweVysWmApKSkJYuapJ04IiJCdA/4xUDk5TMzMxdVkjWZgP37lXj6aRUOH5679txcGtdc48TllzvBp5IK8VxfbM6I6GZxa2V8SszMtx6ZXCft8VIAmemZnZ1FeXl5yNuvLRYL2/JvMBigVCqRkZHBtvz7Sg7d3d0455xzsHPnTjzwwAMyqXjhmCOWDz/8EBs2bFi0BXViYgI6nQ7Z2dlYtWqVKEV6i8UCnU4HjUaDDRs2CNaKyjAMZmZmMDY2hrGxMZjNZvbUnJycfNRpkbQTp6SkBDRdLBR8GXzU6dzRyb/+pcLMjPu6VSoGF17owve/78Spp9Lg+3aSNNOGDRuQlJTk878jg7JEYiYyMpK9J8GmMYlr5/DwMMrLyyXTqk7TNOrr62E2myVBKgQOhwPV1dVQq9XIzMxk02bEzIykzBa63r6+Ppx99tk477zz8Mgjj8ikMg+OOWL55JNPUFRUtGDBsre3l51qz8jIEKVIT6TlU1JSsHr1alEfRK68DFGbTUlJQUpKCsxmM+rq6iTVTgzMKQHP1800MwPs2+eOToi6MADk59P43vecuOwyJ4RoYuPOzgSbZvKuAXi3zfoTMXJbdxebBxEbNE2jrq4OVqtVUoOiTqeTJZWNGzey76KvZmZDQ0M4++yzcdppp+GJJ56QSWUBSI5YlnKRXAqHDh1CXl7eURsSTdNoaWnByMgIuzEIXaQH3C2fjY2NyM/PR3Z2dkg3b5vNxpKMwWAAwzBITk5GXl4eYmJiQk4sCw0+MgxQXa3A00+r8NJLSszOuq9TrWawfbs7Ojn5ZP6jE+51tbW1YWRkhHfTMNI2S+6LzWbzkJhZrB5BGk8mJyeDat3lGy6XC3V1daz6QKjmsLxBSEWlUi3ZBELMzCYmJtDf34+f/OQnqKysRH19PTZt2oS//e1vkkkZSxHHHLF89dVXyMzM9HBXJDpXNpuNLR4KXaQnm2R3d7fkWj47OzvR19eHnJwczM7OYmJiAmq12kNeRuyT2HyDj1NTwL/+pcIzz6hQVzd3PQUFNL7/fScuvdT/VmF/QdM0mpubYTQaUVZWJmhEwBVnHB8fZyNMbl2GPKskzURqF1JptiCSNk6nE6WlpZIiFa4qgj+kYLFY8OKLL+Kpp55CW1sbAOCss87CBRdcgO9+97uSIXQp4ZgjliNHjiA5OZnNy8/OzrLthKQwLXSRnmxGer0eJSUlkiqkkjmC0tJSNhdP07SHvAxN0yzJiCEC6C3aODQUiUcfVeH551Uwm933R6NhcNFF7ujkhBNoiBFcuVwu1NfXw2KxoLS0VLThVALiZ0Lay4m2XGJiInp7e9luRqmkmVwul4dQqVQkbVwuF6qrqwMiFQDQ6/U477zzUFBQgH/+859obm7G66+/joMHD+Ktt96SiWUeHHPEotPpEBcXh9zcXOj1elZOvaCgwKNILxSpOBwO1NXVweFwoKSkRPTNaCGQdmJyklzohEvaM729Zcipme9NjNvmnJhYjrvvjsRLL83pdq1ZQ+PKK5347nf57exaCk6n02OTDPXJm2jLjY6OYmRkBIBb+j81NdWnzj8xro9rghfq6yEg1wUApaWlfpPK5OQkzj//fGRlZWHfvn2SIXGpQ3LEArhPaoGivr4e4eHh0Gg0aG1txZo1a5CZmSlKPcVsNnuoAEvl5bJarR46Vr5e10LeMiSaCfakRvS1wsI0+PTTCtxxhwY2m/venH22Czfe6MApp4gTnXBht9v/d11hAfnACwWuyGVeXh7bAGA2mz3qMmIfZkiaiaKogDZvoUAiKEJ2/l7X9PQ0LrzwQiQmJuLll1+WzCFxOUCSxML1vfcXjY2NmJychNVqRWlpKRISEkQhFWI2lZ6eHjIDpfkwMzODmpoaJCUloaioKKjaSSDeMguBDD7Gxyfg8cdL8dxz7ojglFNc2LPHztsgo78gkulEM0oqXT+E7Ei7OneTNJvNbF1mcnKSvS/JycmCN2WQgrhSqQwozSQUgk3LmUwm7NixA5GRkXjttdfkdJefOKaIxeFw4NChQ3A4HNi6dSvCw8MFL9IDwPDwMJqamlBYWCgZWXJgbjp8MS2yQMH1ltHr9QgLC/Mo/i+2Fnfw8bPPirBrlwZKJYN773Xghz90ih6hEBCyE9Oy1xeQiDM6OnpJsiP3hbQyE595ISRmSATlS5eVmOA2EJSVlflNKrOzs9i5cycoisIbb7whmbmg5YRjhliIjzfDMIiNjcWGDRsEL9KTaee+vj6sX7/er4E5oUFMsMRwoZzPW4aQjFar9dhwCNmRwcfy8nC0tCjwu9/ZcfPNgUv5BAvirrjUlL/YIJYKRNLGn+uaT2KGq8gQTN2IDBmGhYVJSq2BpmnU1tayjQ3+korFYsG3v/1tWK1WvP3227y2lh9PkCSx+OsiaTAYUFNTg4yMDGg0GkxOTrLS10J2fpG0W0lJiWQeQNJO3N/fH5QJVjDrT05OsiRjt9tZbxmn08lK8aelpaGzk8KGDRFQqRj09VkQoGxa0DAYDKitrZWUuyIw19FIBmuDnc6fmZlhScZkMrH1suTkZL/aqElaLjw8HBs2bJBMupCQSqDzMzabDZdccgmMRiPeeeedgHX8ZBwDxDIwMIDm5mYUFRUhKysLQ0NDaGpqYjtmhGiXtdvtqK2tBU3TkhJsXKidOFTg6mUNDg7CZrMhJiYGmZmZSE5OhkoVjq++UqC5WYGrrgpNtEKsC1avXu0x+xRqzMzMoLq6GhkZGYJEUIFKzBA14ECFG4UCd9K/vLzcb1Kx2+24/PLLMTg4iHfffVf0A9mxhmVLLGSgbnBwECUlJdBqtXC5XHC5XOzJbGxsDHa7HUlJSawbY7CdWrOzs6ipqWGLu1JJAXDbnBdrJxYb3MHHtWvXsv4y3t4y3OE/sUCkY9avX4+UlBRR114MU1NTqK6uxsqVK5Gbmyv4elyJGaKUPZ/EDHFY9KXWIybIsKjFYgmIVBwOB77//e+jo6MD77//vqRS2ssVy5JYnE4namtrYTab2Wno+Tq/yIl5dHQUY2NjsFgs0Gq1SE1NRXJyst8PIEmZZGVlSSoPz/UrEVLg0l9wBx9LS0s90i12u92j+M+3t8xS6O3tRWdnp6Q8SwDAaDRCp9Ox+m1ig6ZpTE5OsiRjs9mQmJiI+Ph4DA4Osra9UiOVQIUunU4nrrnmGtTX1+ODDz6QjFvqcockiWUxe2Kz2cy2XW7cuBEqlcrnIv3s7CzGxsYwOjrqYfmbkpKy5AmfFMOLiooklzLhq52YTxDyJwOZi73wLpcLer2ercsoFAqP4j+fn4nUoAYGBlBaWiqpPLper0dtbS0KCwuRlZUV6sth55iGh4fR19cHmqaPkv4P5eEqWEl+l8uF66+/Hl9++SU++ugjwZtcjicsK2IxGo2orq5Geno6Vq9eDQBsZONvkZ6kZMbGxjA1NYW4uDiWZLg968Sqd2BgICTF8MWg1+tRV1eHlStX8t5OHAzI4GMgERQ5MROSIZ1MfKQyiRLw+Pg4ysrKQl6D4mJsbAz19fWidPH5A6vVisOHDyMhIQH5+fnsAcBgMLASM8nJyaLryzEMw0bDFRUVfpMKTdO48cYb8fHHH+ODDz6Q1JjAsYBlQyyDg4NoamrC6tWrsWLFCrhcLt48VGw2G0syZPCPFP57enowPT0tKateYK4+ILWNyF/Hx8XA9ZYh7n9arZZNmflTR/LWI5PSwBuZg5JarYe0Omu12qPmekiUSVJmADzqMkKmY4nN8fT0dEACnDRN46c//SnefvttfPjhh5LqBDxWIEli4doTE8ny/v5+lJSUIDExUdBJepL7Hx4ehsFggEKhQFZWFjIyMvyeLhcC3NkZqUVQvjo+Bgqu8u/U1BTrLbOUIyMZmCNtqFLSexoYGEBbW5vfxmFCg8yFkRTrYveSqy8ntMQMH6Tyi1/8Aq+88go++OADrFq1irdrkzEHSRMLsfI1mUwoKytDVFSUKPIsJpMJNTU1rGQ58WUICwtj02ViFJi9QVSTDQaDJNqJuSCDj/n5+aIUnYm3DFH+jYyMZEkmNjaWvTdkOpyiKJSUlIRcTJKLvr4+dHZ2oqSkBAkJCaG+HBZmsxmHDx9GampqQPJExIrBW2ImEOkfLhiGYf1nKioqAiKV22+/HS+88AI++OADNp0ug39IllhIHz9xelOr1aLIs5C6RXZ2NvLy8th1vAvMSqWSJRkx8sukGC411WRgccdHMeB0Oj1kTMi9iY+PR1dXFyIiIiQ1HQ64PdN7enpQVlYmqQYCMpSZlpaGgoKCoN8zkgEgBwDi+5OcnIyEhASf3xuGYdhDVUVFhd/PP8Mw2LNnD/7617/i/fffR3FxcSAfR4aPkCSxGAwGfPnll0hNTUVRURGAwIv0/mBgYACtra1L1i2IVMbo6CjGx8dZJ0biX8I3yUi1nZhhGPT29qK7uxsbNmyQRNsu8ZYZHh7GyMgIKIpCamoqW/wPNbmQZpChoSHe3SiDhclkwpEjRwQbyiT3hkSaTqfTJ4kZ0nSh1+sDJpXf//73+NOf/oT3338fGzZs4OPjyFgEkiSWqakpjI2NISsry8NDRaiogNRxhoeHsXHjRr/SElwJk7GxMfZl4WsjI+3ERBhRKu3EXLve0tJSyZiZAXNT66mpqUhLS/PwluEW/8WutZBh0bGxMZSXl0uqGYSQSmZmJvLz8wVP8/oqMcMllUDslxmGwcMPP4z7778fBw8eRHl5uRAfR4YXJEksNE3DbreLUk9xOp1sL7z3EJ+/YBgG09PTLMlYrVYPkvE3v0/Scjk5OcjNzQ154wAB6bCanp4W3K7XX0xOTqKmpmbe74zMMRFvmYVazIUAqQ8YjUZJ+dMDbiI+cuQIVqxYgfz8/JBcg8ViYUnGaDQiKioKSUlJMJvNmJqawqZNmwIilccffxx33XUX/vvf/6KyslKgq/fEPffcgwMHDqClpQURERHYunUr9u7d61HTYRgGd9xxB5544gkYjUZUVlbi0UcfPWZSdJIklrq6OrbgJySpWK1W6HQ6Vvabz8IuGS4jU//cVtmUlJQlT8ukbrFmzRpkZGTwdl3Bwp/BR7FBGggKCgqWnEvw9paJiopi7w3f3X+EiEkTipTqY0TVmRCxFOBwOKDX69HZ2Qmz2Qy1Ws1Gmd5q2QuBYRg89dRT+PWvf4033ngDJ554oghX7sY555yD7373u9i0aROcTiduu+021NfXo6mpiY1S9+7di7vvvhvPPvssCgsLcdddd+Hjjz9Ga2urpNKjgUKSxHLjjTfi8ccfR2VlJbZv347t27cjMzOT15dd7BST2WxmT8vT09OIj49nNzLuRsMwDLq7u9Hb2yuZugWBzWZDTU0NK5UulVoPAIyMjKCxsTGguR5vbxnuRhZsY4bL5UJdXR1sNpvkWp2JJpnUVJ0ZhkF7eztGRkZQVlYGu91+lMTMYlbZDMPg+eefx89+9jO89tprOPXUU8X/EByMj48jJSUFH330EU4++WQwDIOMjAzs3r0bt956KwD3u5Wamoq9e/fiuuuuC+n18gFJEgvDMBgcHMSBAwewf/9+HDp0CGVlZdixYwe2b9+OnJycoEhmfHwc9fX1ghhg+QKr1cqSzOTkJDuPkZSUhN7eXuj1epSWlkrq5ELEN+Pj44MefOQbZBZk/fr1SE5ODup3LeQt4y3I6Ovv0ul0cLlcKC0tlVSrMyGVUGmSLQTS3DA8PIyKigqPNCvXKnt8fBzT09Psu6PVatlI85///Cd2796NV155BWeccUYIP40bHR0dKCgoQH19PdatW4euri7k5+ejuroapaWl7N/bvn074uPj8dxzz4XwavmBJImFC4ZhMDIygldeeQX79+/HRx99hPXr17Mk40/3CsMw6O/vR0dHB4qLiyUhOGe321n9Mu5AZmZmZsi1mAjI4GNGRgYvLah8gWEY9PT0oKenR5BZEG9vGZvNxnYxLSVi6nA4oNPp2PkZKUV3pA6Vn5+P7OzsUF8OC6LjNjg4iIqKiiWbG7izTC+88AJeffVVlJaW4t1338W///1vXHDBBSJd+cJgGAbbt2+H0WjEJ598AgA4dOgQTjjhBAwODnqkua+99lr09vbiv//9b6gulzdInli4YBgGer0er776Kvbt24f3338fq1evZtNli9nJ0jSNtrY2jI6OoqSkRFKzA6TWo1QqkZ6eDr1ej4mJCVbxNyUlxWPoT0yIPfjoK0i6ZHh4WJS2XaKUTeoyRMSUtJlz05nECCssLExSlr2AW2+vpqbGpzqU2CDioL6Qijemp6fxhz/8Afv27YPBYIBarcb555+PnTt3hpRgdu3ahTfeeAOffvopKyxKiGVoaMgjbXvNNdegv78fb7/9dqgulzcsK2Lhgpwm//Of/2D//v04ePAgVq5ciQsvvBAXXXSRh1/E1NQUOjo6YLPZUFpaKqmOHDLlT/SYyDW7XC4270+8y7kDmWKQjFT1yLgKBOXl5SHpSiNdTCSdGR0dzd6blpYWREVFScoIC3DPh+l0OsmoJ3NBSKW8vDwgRYk33ngD3/ve9/C3v/0NO3bswBdffIH//Oc/mJ2dxSOPPCLAFS+NG264Aa+88go+/vhjj8YIORW2jDA9PY3XX38d+/fvx9tvv4309HRceOGFqKysxC9+8Qtceuml+NnPfiapPDfxd/Ge8vcGGSwjA5kURbEOmf5ML/sKKQ4+ErhcLtZ/QyodVt76ckqlEpmZmUhNTQ2J9M98IJL8RUVFkuoyBMBq31VUVAREKgcPHsRll12GJ598EpdccokAV+gfGIbBDTfcgJdffhkffvghCgoKjvrzjIwM/PjHP8Ytt9wCwP0MpaSkyMV7KcNkMuGtt97Ck08+iQ8++ABr1qzBSSedhJ07d2LTpk2SSE0QRVt/24m5svJjY2NwuVweU//BfjYpDz6SVmcpFsOJaKNWq0VSUhIrL0MOAUJ4y/gKks5cs2aNpCJPAGwHZHl5eUDpzA8//BDf/va38dhjj+Hyyy+XBIlff/31bM2HO7sSFxfHZkv27t2Le+65B8888wwKCgqwZ88efPjhh3K7sdRx4MABXHHFFfj1r3+NwsJCvPzyy3jttdcQGRmJCy+8EDt27EBVVZXoRVU+24mJqiwhmWBtmGmaRmNjI6ampiQ3+Gi321FTU8POHEmpGE6m1tPT0z2aGxbzlklMTBSFGEkHpBRJhTReBEoqn3zyCb75zW/iwQcfxFVXXSUJUgGw4HU888wz+N73vgdgbkDyL3/5i8eA5Lp160S8UuFwTBKL0+nEKaecgltuuQXbt29nf261WvHee+/hwIEDePXVV6FUKnHBBRdgx44dOOmkkwR/0WmaRktLCyYmJnhvJ17MhjkpKWnJ+QmuyKXU5i2sViuqq6slWbcgA4YrVqxYNJ3Jp7eMryDmYevWrZNEByQXvb296OrqQnl5eUBR8RdffIGLLroIe/bswfXXXy8ZUpHhxjFJLID7RV7sYXM4HPjoo4+wb98+vPLKK3A4HLjggguwfft2nHrqqby/6MQCgDQQCF0b8MeGWcqDj8Q4jAyySmkDIW27gQwYkoFZrrcMSZnxoSFGSEVq5mHAnF1AoKRy5MgRXHDBBbjjjjtw4403SuqZkOHGMUss/sDpdOLTTz9lScZkMuHcc8/Fjh07cPrppwfdRUY2brVajQ0bNoheG1jMhplhGFRXVyMuLg7FxcWSjAaEMg4LBqTDio+23fm8ZQjJBNJmPjo6ioaGBkmTSqB2AbW1tTjvvPPw85//HD/72c8k9UzImINMLF5wuVz44osvsH//frz88svQ6/U4++yzsWPHDpx11ll+nyZJOzEfVr18wNuGmWEYxMfHY82aNZIyDiMdc1KTGwHm6hZCdFg5nU7W94d4yxCS8aUDcHh4GM3NzbyoEPANMpwcKKk0NDTg3HPPxe7du3HbbbfJpCJhyMSyCGiaxuHDh1mSGRwcxJlnnokdO3bgnHPOWTKM97WdOBTQ6/XQ6XRITk4GTdPQ6/WIiIhgI5mYmJiQXS/ZuFevXo3MzMyQXMNCINGAGHUL4vtDDgI0TXsU/71TloRUpGZzDMzJ7pSVlSE+Pt7vf9/c3Ixzzz0X1157Le68805JvUsyjoZMLD6CpmnU1dVh3759OHDgALq6unDGGWdg+/btOO+8846aVyDtxEVFRZLbHMm1cQcfiQsjOSmHyoaZDGVKseA8NDSElpaWkEQDXEuG8fFxtjmDFP/Hx8fR2tqKjRs3SmruCAAGBwfR2tqK0tLSgGR32tvbcc455+CKK67APffcE/KoX8bSkIklABBvDUIyzc3NOO2007B9+3ace+65eOihhzAyMoL77rtPcifHnp4edHV1LboBESFGMpCpUCiQkpKC1NRUQW2Y+/r60NHRIcnNsb+/H+3t7SgpKYFWqw315bDNGaT4DwBZWVnIycmRVJs4IeNASaWrqwvbtm3Dzp078cADD8ikskwgE0uQIJpV+/btw/79+9HS0oKwsDD88Ic/xNVXX43U1FRJhO2BDj56p2OEsGEm4oMDAwMoLS2VlI4b4Cbj7u5ulJaWBpTGERL9/f1oa2tDVlYWZmdnYTAYWG+Z5OTkkKY0CakESsa9vb0455xzcN555+GRRx6RSWUZQSYWnmAymfCd73wH7e3t+OY3v4kPP/wQX3/9NbZs2cKKZGZkZITkJedr8NHbhtnhcLAkE6gNM9eut6ysTFINBAzDoKurC/39/SgrK5OUCgEw12HFJTziLUMm//n0lvEHpN4TaPQ5ODiIs88+G6effjr+8pe/yKSyzCATC0+46qqr0N3djQMHDiA+Ph4Mw2BgYAAHDhzAgQMH8Nlnn6GiooIlmWA9ZXwFd/CxtLSUt/kcMvBHBjKtVisSExPZgUxfWqoJ4RGLYymJg3IjvECFEYUEGTBcrMOKpDRJKzOJNgPxlvEHIyMjaGpqCphURkZGcM4556CqqgpPP/20JCSYZPgHmVh4wsTEBGJjYxd0tBsZGcHLL7+M/fv34+OPP8aGDRtYT5n8/HxBSIY7PyOkDAoxYCKRjMlkWtKGmeusyCfh8QGGYdDc3Ay9Xh8y9eTFQFJz/gwYesv/+OMt4w9GR0fR2NgYcGfa2NgYzj33XJSUlOBvf/ubpIZ1ZfgOmVhEBsMwmJiYYI3L3n//fRQVFbEkU1RUxAvJmM3mkA0+LmXDTEywAKCkpERSYpI0TaOpqQlTU1MoLy+XhHoyF0QJOJjU3HwHAXKPkpOTA44cSSv2hg0bAuqa0+v1OO+881BYWIh//vOfknouZPgHmVhCCIZhYDQaPTxl8vLyWE+ZQAlhenoaNTU1SEtLQ2FhYUibB7xtmKOjo2Gz2RAVFYXS0lJJpTlomvaQ5JdSFAW4PUv6+/sDFm1cCAt5yxB5GV+eHyIhEyipGI1GXHDBBVixYgVeeuklSWnVyfAfMrFICFNTU3j99ddx4MAB1lNm+/btuOiii1BSUuITyRDfjby8PMlNrBOJFoVCAbvdznYvpaSksH7loYLL5fKoRUlpY+Na9gpd7yHeMqT4r9FolpxnGh8fR11dXcASMlNTU7jwwguRlJSEV155RXKELsN/yMQiUZhMJrz55ps4cOAA3nzzTWi1WlbufyFPmfkGH6UCIi2fmpqK1atXHzWQGUobZqfTCZ1OB4ZhUFpaKqm8PsMw6OjowNDQkOhNBC6XC3q9ni3+E2+Z5ORkaLVaKJVKllQCHWidmZnBRRddhMjISLz22muiNnB8/PHHuP/++3HkyBEMDw/j5Zdfxo4dO9g/J9L2TzzxhIe0fXFxsWjXuFwhE8sygNlsxjvvvIP9+/fj9ddfR1RUFC688EJs376d9ZR58MEHkZ+fjxNOOEFyw4WTk5PQ6XQLSsvPZ8NMHDKFtmF2OByoqamBUqlESUmJpFJzZEaKdKbxoXocKIi3DEmZORwOxMTEYGpqCmvXrg1IM212dhY7d+4ERVF48803Rf98b731Fj777DOUlZVh586dRxHL3r17cffdd+PZZ59FYWEh7rrrLnz88cfHjBmXkJCJZZmBeMrs378fr776KlQqFQoKCtDQ0ICXXnoJJ5xwQqgv0QMkNbdq1SpkZ2cv+feJDTOpywjpwGi323HkyBFERERg/fr1kiOVtrY2jI2NSa4zjbTSt7a2QqPRwGazQavVstGMLw0PFosF3/rWt2C32/HWW2+FfKOmKMqDWIh98O7du3HrrbcCcHdZpqamHjP2wUJCJpZljNnZWVx44YU4fPgwUlJS2AIo8ZQJdZ2AdAkFmpoT0oaZmIdFR0dj3bp1khrAYxiGNYSrqKiQ1HwPMHdYIK6UZrOZjWR88ZaxWq245JJLMDk5iXfeeUcSSgvexNLV1YX8/HxUV1ejtLSU/Xvbt29HfHw8nnvuuRBd6fKAdJLJMvyC1WrFxRdfjMnJSbT9//buNCiqM+sD+L8RQRFF1gZUFgGVxYVlguJERAVFlkaNFeKMQkzUiaKDxMGKVTFYCRjc4hhjRoMTy0o0DrIZJ0awwEYElW4giiIxI4oo0BAWEYGG7vt+8L03IqjQ0vQFz6+KD95u4GDRfXju85xzfv0VxsbGyMnJQWJiItatW4fHjx9j4cKFEIlEmDdvXr8fm2W72ap6SggAtLS0YGRkBCMjI0ycOBEPHz5EdXU1fv31V64Ogy3I7M2+SEtLC6RSKTfKgA8td1hsDU1dXR0vkwrbsfvpUcd6enqwtraGtbU15HI5l2Ru376N4cOHw9TUFNra2rCysoJCocCKFStQW1uLjIwMXiSV7lRVVQFAl30joVCIu3fvaiKkAYUSywClq6uLhQsXYuXKldxthNmzZ2P27NnYt28f8vLykJSUhOjoaNTV1WHBggUICQmBr6+v2u9ll5WV4c6dOyo3HuyOQCCAgYEBDAwM4ODggEePHkEmk6GsrAzFxcUwNjbm6jBetFJrbm6GVCqFmZkZJk6cyLukcuPGDdTX18PDw4N3NTTscLNJkyY9dwWqo6ODMWPGYMyYMZ1my0RFRaG0tBRWVlZoaGhATk4OL5p5vsyzvx8vm0xLnqBbYYOcUqlEfn4+N1PmwYMH8PPzg0gkgr+/f5/e22Y3mysrK+Hm5tZv982fLvZramp67hjmpqYmSKVSjB07Vm3dDlTFMAzXz42PhZn19fUoLCxUeUbOo0ePsHr1ahQVFaGtrQ0tLS0ICAjAe++9hzlz5qgh4t6hW2F9iz83lnsoNjYWXl5e0NPTe26n2fLycgQFBWHEiBEwMTHBhg0bIJfL+zdQntDS0oKnpyd27NiB0tJS5OTkwMnJCfHx8bCxscHbb7+N77//Hg0NDXiVvzHYivXq6mp4eHj062bsiBEjYGtrC09PT8ycOROmpqaoqqrChQsXcOXKFdy9excymQwSiQTW1ta8G3OsVCpRXFyMhw8f8nKl0tDQgMLCQkyYMEGlpKJQKBAVFYWSkhLk5eXh/v37SE9Ph7W1NcrKytQQ8auztbWFubk5MjIyuGtyuRxisRheXl4ajGxgGHArlk8++QSjR49GRUUFDh8+jIaGhk6PKxQKTJs2Daampti9ezd+//13hIWFYfHixfjyyy81EzQPsX8hszNlSktLuZkygYGBMDIy6vGbL1ux3tzcDDc3N968MbKz5O/fv4+HDx9CV1cXY8eO5Qoy+YBNKuz/Hd+KA9mkYm9vj3HjxvX685VKJdavX48LFy4gKytLpa+hLo8ePcJvv/0GAHB1dcWePXvg4+MDIyMjWFlZIT4+Htu3b8e3334LBwcHxMXF4fz583TcuAcGXGJhHTlyBJGRkV0Sy5kzZxAYGIh79+5xZ+t/+OEHhIeHQyaT8a71OR+wR1uTkpKQnJyMX375BW+++SZCQkIQFBQEMzOz5yYZtntyR0cH7yrWgSfNQa9evQp7e3toa2tDJpPxZgzz0y1k3N3defd/19jYiIKCgldKKh9++CHS09ORlZXFu04Q58+fh4+PT5frYWFhOHLkCFcgefDgwU4Fki4uLhqIdmAZdIll69atSEtLwy+//MJdq6+vh5GRETIzM7v9RSJ/YGeQsHsyEokEM2bMgEgkQnBwcKeZMg8fPkRJSQm0tbXV2j1ZVWz/KmdnZ5ibm3PX2U3l6urqTjNLhEJhv41hZkddt7a2ws3NjbdJxc7Orkf1R89SKpX46KOPkJqaivPnz8POzk4NURK+GnB7LC9TVVXV5YigoaEhdHR0uCOE5PkEAgHs7OwQHR2N3Nxc/O9//8PixYuRlpYGR0dHzJs3D/v27cPFixcxffp0FBYW8q4NCvCkvU1xcTEmT57cKakAgLa2NoRCIaZMmQJvb29MmjQJHR0dKCwsRHZ2NtcyX6lUqiU2ti9ZW1sbL1cqbE+38ePHq5xUtm7diqSkJJw7d46SymuIF4klJiYGAoHghR8SiaTHX6+7vzjpmGDvCQQCWFlZITIyEmKxGOXl5fjrX/+K1NRUBAYGwtDQEE1NTbh9+/Yrbfz3tYqKCm564cuaIg4ZMgSmpqZwdnaGt7c3d5ujuLgY2dnZuH79OmpqavosyTzd7NLNzY13reGbmppQUFAAW1tbWFtb9/rzGYZBbGwsvv/+e5w7dw4TJ05UQ5SE73jxZ2ZERARCQ0Nf+Jye3p81NzfH5cuXO12rr69He3u7Sk3yyBMCgQCWlpbw8vLCtm3bsHr1ari4uCA5ORmxsbFwdHSESCRCSEiIRutD2MmKqtTQaGlpwdjYGMbGxpg0aRIaGxtRXV2Nmzdvor29nSvINDY2VmmFplAoUFRUBIVCATc3N96t8tjj2NbW1irthzAMgx07duCbb75BZmYmnJyc+j5IMiAMuj0WdvO+oqKCK+I6ceIEwsLCaPP+FSmVSri6uuIvf/kLoqOjAfwxUyYtLY279TF+/Hiu3b+Tk1O/tEthGAZlZWUoLy+Hq6trn1Z0s2OYZTIZqquruTHMbEFmT1YdCoUChYWFvOygDDw5IcUex7a1te315zMMg3/+85/YtWsXMjIy4O7uroYoyUAx4BJLeXk56urqcOrUKezcuRMXLlwAANjb20NfX587biwUCrFz507U1dUhPDwcISEhdNy4DzQ1Nb3wqGVjYyN+/PFHbqbMmDFjuCQzdepUtSSZp1vL90dhJlv139MxzOz+jUAg4N1wM+CPkQZs9+neYhgGBw4cQFxcHH7++Wd4enqqIUoykAy4xBIeHt5t1WtWVhZmz54N4EnyWbt2LTIzMzF8+HAsW7YMu3bt4l2NwGDX1NTUaaaMiYlJp5kyfZFkGIZBaWkp1wW4v1uvPzuG2cDAAEKhkBvD3NHRgYKCAl625QeedC2QSCRcN4LeYhgGCQkJ2Lp1K3766SfeddcmmjHgEgsf2NjYdGlEt3nzZnz++ecaioj/Hj9+jLNnz3IzZUaOHNlppowqb7hP99Zyd3fXeMPG1tZWrgFjfX099PX10d7ejmHDhsHNzY23SWXMmDEqtbhhGAZHjx5FdHQ0fvzxR+4PO0IosajAxsYG7733HlatWsVd09fX5001N9+1trbi3LlzSEpKwqlTp6Cjo4PAwEAsWrQIM2fO7NGeBVux/ujRI15V+7Oam5tRUFAAhUKBjo4OXo1hZuOTSCSwtLRUqcUNwzA4duwYNm7ciLS0NMydO1dNkZKBiF87iAPIyJEju9RHkJ4ZNmwYAgMDERgYiPb2dmRlZeHkyZN49913oVQqERAQgEWLFsHb27vbPQuFQoGrV6+ira0NHh4evKsDkcvluHbtGkaOHIkpU6Z0mpB5584d6OrqcrfL+nsMM/Bk9SiVSmFhYaFy37STJ09i48aNSExMpKRCuqAViwpsbGzQ1tYGuVyOcePGYenSpfjHP/7Buze4gaajowMXLlxAYmIi0tLS8PjxYwQEBEAkEmHu3LkYNmwYGhsbceLECUybNg2urq68qwNhp1Lq6elh8uTJXfaR2DnyMpkMNTU1GDJkCLeSMTQ0VHuSYZOKmZkZJkyYoNL3S01NxapVq3D8+HEEBwerIUoy0FFiUcEXX3wBNzc3GBoa4sqVK/joo48gEomQkJCg6dAGDYVCgdzcXK61TENDA+bOnYuSkhLo6+vj3LlzvE0qI0aM6NFUymfHMAPgkkxfj2EGngw4Y6eNqppUTp8+jXfffRdHjx7FkiVL+jQ+MnhQYvl/MTEx2LZt2wufk5+fDw8Pjy7Xk5KS8NZbb6G2thbGxsbqCvG1pVQqkZ6ejvDwcABP9mjmzJkDkUiEBQsW8KLTbFtbG6RSKUaOHAlnZ+deJwW2HkgdY5iBP5KKqampygWsZ8+exfLly5GQkPDSgmbyeqPE8v9qa2tRW1v7wufY2Nh0u0l8//59jB07FpcuXaIz/GpQWVkJX19fTJo0Cd999x1u3LjBtfu/e/cu5s2bB5FIhIULF/ZbE8mntba2QiqVwsDAAM7Ozq/8/RmGwcOHD7mCTHYMM1uQ2dviytbWVkgkEq6jgCrxZWVl4e2338aBAwewfPlyjR8+IPxGiaUPnD59GkFBQbh7965KTfvIixUUFCAhIQH79u3r9KbKMAyKi4u5JPPrr7/Cx8cHISEhCAgI6NVMGVWxb9qGhoZwcnLq8+/HMEyngszm5uYej2F+Oj4jIyM4OjqqFN+FCxfw1ltvYe/evVi5ciUlFfJSlFh6KS8vD5cuXYKPjw8MDAyQn5+PjRs3wsPDA2lpaZoO77XFFkqyM2WuXbvWaaaMqalpn78htrS0QCqVvtKbdm89bwyzqalpl9U0u5IaPXq0ykkvLy8PixYtwueff44PPvhA40nlwIED2LlzJyorK+Hs7Iy9e/fizTff1GhMpCtKLL1UUFCAtWvX4ubNm2hra4O1tTVCQ0MRHR0NPT29Pvs+9AJSHTtT5uTJk0hJSYFUKsWMGTMQEhKC4OBgWFhYvPIbJLtnYWJiovLtpVfV0tKCmpoaVFdXo7GxEaNGjeLmymhpaUEikbxSUpFIJAgODsa2bduwYcMGjSeVEydOYPny5Thw4ABmzpyJgwcPIiEhATdu3KA7BTxDiYWH6AXUdxiGQXl5OZKTk5GcnIy8vDy88cYbEIlEEIlEGDduXK/fMPviyG5fY8cwy2Qy1NXVQSAQQE9PDy4uLiodbigqKkJAQAC2bNmCTZs28eJn9PT0hJubG77++mvumqOjI0JCQrB9+3YNRkaeRYmFh+gFpB4Mw+DBgwdISUlBUlIScnJyMG3aNC7JjB8//qVvoM3NzZBKpTA3N4eDgwMv3nCfJpfLkZ+fj6FDh0JHR0elMczFxcXw9/dHVFQUtmzZwoufUS6XQ09PD4mJiVi0aBF3/e9//zuKioogFos1GB15Fi8GfZE/sLUQfn5+na77+fkhNzdXQ1ENDgKBAGPGjEFERAQyMzNRUVGB999/H9nZ2XB3d8fMmTMRHx+P0tLSbgeXsW1QLCwseJtU2CPPHh4emDZtGry9vWFnZ4fHjx9DIpEgJycHpaWlaGho6PZnLCkpQWBgINatW8ebpAI8ObWpUCi6zFQSCoU0GZaHqKULz9ALqH8IBAIIhUKsWbMGq1evRl1dHTdTJj4+HnZ2dly7f0dHRxQUFOC7775DRESESg0b1e15xZnsGGahUAiFQsEVZBYVFUEgEMDMzAy1tbXw9PTEnTt3EBgYiJUrV3JTXfnm2ZhoMiw/UWLhKXoB9R+BQABjY2OsXLkSK1euRENDAzdTZu/evTA3N0dtbS1CQkJ6dLusv7W3t6OgoIDbU3lecSY7htnU1BRKpRL19fWorKxEeHg4mpubMWrUKLzxxhv45JNP+mU4W2+YmJhgyJAhXf64kslkNBmWh/j120PoBcQDo0ePxvLly5GSkoL09HTU1NTAwcEBKSkpmDx5MrZs2YIrV65AqVRqOlS0t7dDKpVi2LBh3fYmex52DLOLiwsyMjJgZ2cHc3NzXL16FUKhEO+88w4kEomao+85HR0duLu7IyMjo9P1jIwMeHl5aSgq8jyUWHiGXkD8UVBQgODgYHz88ceQSqWorq7G7t27UVNTg5CQEDg5OSE6OhoXL16EQqHo9/jYlYquri6mTJmi0irj/v37CA4Oxp/+9CdcuXIFt2/fhlgshr29PeRyuRqiVl1UVBQSEhLw73//GyUlJdi4cSPKy8vxt7/9TdOhkWfQqTAeYo8b/+tf/8KMGTNw6NAhfPPNN7h+/Tqsra01Hd5ro6KiAj///DPef//9Lo+1trYiIyODmymjq6uLoKAgbqaMumfas5Mphw4dqvLI56qqKsyfPx8zZ87E4cOHeTeIrDsHDhzAjh07UFlZCRcXF3zxxReYNWuWpsMiz6DEwlP0Aho45HI5N1OG7b7AzpSZNWtWn49TYJOKtrY2pk6dqlJCkMlk8Pf3h6urK44ePar2REheL5RYSLednekUmmo6OjqQnZ3NzZRpbW1FQEAAQkJC4OPj88qTLjs6OlBYWIghQ4aonFRqa2sREBCAiRMn4vjx47wbP0AGPkosBDExMTh58iTOnTvHXWNPEBHVKRQKXLx4kZsp09jYCH9/f4hEIvj6+va6BZBCoUBBQQG0tLQwbdo0lZJKfX09AgMDYWVlhcTERBpOR9SCEgtBTEwMUlNTUVRUpOlQBi2lUonLly9zSaa6uhrz58/nZsro6+u/8PMVCgUKCwsBAK6uriollcbGRgQFBcHMzAwpKSnQ1dVV6Wch5GXoVBgBANy6dQuWlpawtbVFaGgobt++remQBhUtLS3MmDEDu3btwq1btyAWizFhwgTExsbCxsYGoaGhOH78OBobG7tUxCsUCi7pq5pUmpqasHjxYhgaGiIpKYmSClErWrEQnDlzBo8fP8aECRNQXV2Nzz77DDdv3sT169dpIqaasTNlEhMTkZycjFu3bnHTMQMDAzF06FCsWrUKK1asgJ+fn0qb7M3NzViyZAm0tLTw3//+FyNGjFDDT0LIHyixkC6am5thZ2eH6OhoREVFaTqc1wbDMLh58ybX7v/atWuwsrKCtrY2/vOf/8De3r7XVf8tLS1YunQp5HI5zpw5w4sxzmTwo8RCuuXr6wt7e/tOHZZJ/2ltbcWCBQtQVlYGS0tLSCQSeHl5QSQS9XimTGtrK9555x00Njbi7NmzMDAw6KfoyeuO9lhIF21tbSgpKYGFhYWmQ3ktKRQKLF26FC0tLbh69Spyc3Nx69YtiEQiJCcnY9KkSfDz88OXX36J8vLybrsUy+VyrFixArW1tThz5gwlFdKvaMVCsGnTJgQFBcHKygoymQyfffYZxGIxrl27RpX+GnL48GEsWbIEo0eP7nSdnSmTnJyMpKQkXLx4Ea6urtxMGVtbW3R0dCAsLAxlZWXIzMykfTLS7yixEISGhiI7Oxu1tbUwNTXF9OnT8emnn8LJyUnToZEXYBgG1dXVSE1NRVJSEsRiMRwdHaFUKtHR0QGxWAwzMzNNh0leQ5RYSL/Jzs7Gzp07IZVKUVlZiZSUFISEhHCPMwyDbdu24dChQ6ivr4enpye++uorODs7ay7oAYJhGNTV1eHYsWOIj49HdnY2xo8fr+mwyGuK9lhIv2lubsbUqVOxf//+bh/fsWMH9uzZg/379yM/Px/m5ubw9fVFU1NTP0c68LAzZdavX4+KigpKKkSjaMVCNEIgEHRasTAMA0tLS0RGRmLz5s0AnhwiEAqFiI+Px5o1azQYLSGkN2jFQnihrKwMVVVV8PPz467p6urC29sbubm5GoyMENJblFgIL7CdlJ+dkkldlgkZeCixEF55tuiPYRjezZgnhLwYJRbCC+bm5gDQZXUik8m6rGIIP8XGxsLLywt6enpd6m9Y5eXlCAoKwogRI2BiYoINGzbwbgQyeXWUWAgv2NrawtzcHBkZGdw1uVwOsVgMLy8vDUZGekoul2Pp0qX44IMPun1coVAgICAAzc3NyMnJwQ8//ICkpCR8+OGH/RwpUTeaR0r6zaNHj/Dbb79x/y4rK0NRURGMjIxgZWWFyMhIxMXFwcHBAQ4ODoiLi4Oenh6WLVumwahJT7FTSI8cOdLt4+np6bhx4wbu3bsHS0tLAMDu3bsRHh6O2NhYjBo1qr9CJWpGiYX0G4lEAh8fH+7fbOfksLAwHDlyBNHR0WhpacHatWu5Asn09HTqyDtI5OXlwcXFhUsqADB//ny0tbVBKpV2+t0gAxvdCiP9Zvbs2WAYpssH+xeuQCBATEwMKisr0draCrFYDBcXl1f+vtnZ2QgKCoKlpSUEAgFSU1M7PR4eHg6BQNDpY/r06a/8fUlnVVVVXfbLDA0NoaOjQyf/BhlKLGTQe1nFPwAsWLAAlZWV3MdPP/3UjxHyV0xMTJek++yHRCLp8dfr7oQfnfwbfOhWGBn0/P394e/v/8Ln6OrqcifTyB8iIiIQGhr6wufY2Nj06GuZm5vj8uXLna7V19ejvb2dTv4NMpRYCAFw/vx5mJmZYfTo0fD29kZsbCx1BgZgYmICExOTPvlaM2bMQGxsLCorK7lZP+np6dDV1YW7u3uffA/CD5RYyGvP398fS5cuhbW1NcrKyvDxxx9jzpw5kEql0NXV1XR4A0Z5eTnq6upQXl4OhUKBoqIiAIC9vT309fXh5+cHJycnLF++HDt37kRdXR02bdqEVatW0YmwwYYh5DUCgElJSXnhcx48eMAMHTqUSUpK6p+gBomwsDAGQJePrKws7jl3795lAgICmOHDhzNGRkZMREQE09raqrmgiVrQioWQZ1hYWMDa2hq3bt3SdCgDypEjR55bw8KysrLC6dOn+ycgojF0KoyQZ/z++++4d+8etw9ACOkdWrGQQe9FFf9GRkaIiYnBkiVLYGFhgTt37mDLli0wMTHBokWLNBg1IQMXDfoig9758+e7reoOCwvD119/jZCQEBQWFqKhoQEWFhbw8fHBp59+inHjxmkgWkIGPkoshKjJ9u3bkZycjJs3b2L48OHw8vJCfHw8Jk6cyD2HYRhs27YNhw4d4trYfPXVV3B2dtZg5IS8GtpjIURNxGIx1q1bh0uXLiEjIwMdHR3w8/NDc3Mz95wdO3Zgz5492L9/P/Lz82Fubg5fX180NTVpMHJCXg2tWAjpJzU1NTAzM4NYLMasWbPAMAwsLS0RGRmJzZs3AwDa2togFAoRHx+PNWvWaDhiQlRDKxZC+kljYyMAwMjICMCTQwRVVVXw8/PjnqOrqwtvb2/k5uZqJEZC+gIlFkL6AcMwiIqKwp///GeuYzPb0ffZPllCoZC6/ZIBjY4bE9IPIiIicPXqVeTk5HR57NnOvgx1+yUDHK1YCFGz9evX49SpU8jKysLYsWO562w35WdXJzKZjLr9kgGNEgshasIwDCIiIpCcnIzMzEzY2tp2etzW1hbm5ubIyMjgrsnlcojFYnh5efV3uIT0GboVRoiarFu3DseOHUNaWhpGjhzJrUwMDAwwfPhwCAQCREZGIi4uDg4ODnBwcEBcXBz09PSwbNkyDUdPiOrouDEhavK8fZJvv/0W4eHhAP4okDx48GCnAsm+GMlMiKZQYiGEENKnaI+FEEJIn6LEQgghpE9RYiGEENKnKLEQQgjpU5RYCCGE9ClKLIQQQvoUJRZCCCF9ihILIYSQPkWJhRBCSJ+ixEIIIaRPUWIhhBDSpyixEEII6VP/B+xN6JQAULDdAAAAAElFTkSuQmCC\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,0], result_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:25: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n  self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_train_coeffs = {\"sigma\": 20*torch.rand(()), \"rho\": 20*torch.rand(()), \"beta\": 20*torch.rand(())} # Start with arbitrary values\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(1.7005, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(7.6356, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(7.8562, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(1.8611, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(0.2250, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.2038, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.8290, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.5708, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(0.2055, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.6030, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(20.1962, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.9449, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(0.0560, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.7588, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(24.1160, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6037, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(0.0110, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.7591, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(26.3137, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7577, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.7842, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.4336, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6797, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.6961, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.8887, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6996, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.6755, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.8724, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6719, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.6610, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9321, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7177, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.8077, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9714, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6987, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,\n",
+    "    torch.optim.Adam,\n",
+    "    {\"lr\": 0.5},\n",
+    "    max_epochs=10,\n",
+    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    scheduler_params={\"milestones\": [20,50],\"gamma\": 0.5}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'sigma': Parameter containing:\n",
+       " tensor(9.8077, requires_grad=True),\n",
+       " 'rho': Parameter containing:\n",
+       " tensor(27.9714, requires_grad=True),\n",
+       " 'beta': Parameter containing:\n",
+       " tensor(2.6987, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 9
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs\n",
+    "\n",
+    "# The parameters are much closer"
+   ]
+  },
+  {
+   "source": [
+    "# Predict using 4th Order Runge-Kutta"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_test = ode_solver_train(10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 9.0192e-01,  2.7971e-01,  0.0000e+00],\n",
+       "        [ 8.4090e-01,  5.2920e-01,  2.5228e-03],\n",
+       "        ...,\n",
+       "        [-5.7779e+00, -8.5115e+00,  1.8232e+01],\n",
+       "        [-6.0460e+00, -8.9891e+00,  1.8232e+01],\n",
+       "        [-6.3347e+00, -9.4881e+00,  1.8283e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 14
+    }
+   ],
+   "source": [
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "<ipython-input-15-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T14:48:38.486630</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"maf1cd87227\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.470348\" xlink:href=\"#maf1cd87227\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(35.918004 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"124.115875\" xlink:href=\"#maf1cd87227\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −10 -->\n      <g transform=\"translate(113.563531 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"201.761402\" xlink:href=\"#maf1cd87227\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(198.580152 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"279.406929\" xlink:href=\"#maf1cd87227\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 10 -->\n      <g transform=\"translate(273.044429 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"357.052456\" xlink:href=\"#maf1cd87227\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 20 -->\n      <g transform=\"translate(350.689956 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_6\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf690232b68\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf690232b68\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf690232b68\" y=\"216.416756\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.215975)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf690232b68\" y=\"171.617513\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.416731)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf690232b68\" y=\"126.818269\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 130.617488)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf690232b68\" y=\"82.019025\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 85.818244)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf690232b68\" y=\"37.219782\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 41.019001)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p71480df29c)\" d=\"M 209.525955 261.216 \nL 208.014216 261.158345 \nL 208.145812 261.124614 \nL 211.827301 260.685068 \nL 215.520937 260.143292 \nL 218.838222 259.526865 \nL 223.002664 258.571811 \nL 228.198797 257.092534 \nL 231.252516 256.072776 \nL 234.651678 254.80579 \nL 238.430382 253.233308 \nL 242.624581 251.284332 \nL 247.271397 248.872902 \nL 252.408097 245.895792 \nL 258.070526 242.230348 \nL 264.290859 237.732849 \nL 271.094403 232.23797 \nL 278.495251 225.560269 \nL 286.490435 217.498974 \nL 295.052372 207.847827 \nL 304.11935 196.412146 \nL 313.584228 183.035455 \nL 323.28164 167.637637 \nL 332.975083 150.265053 \nL 342.345882 131.149694 \nL 350.987688 110.76875 \nL 358.411232 89.888356 \nL 364.064868 69.567234 \nL 367.375668 51.093356 \nL 367.812273 35.834725 \nL 364.964173 25.01126 \nL 358.62313 19.434289 \nL 348.845138 19.296 \nL 335.970288 24.096559 \nL 320.587754 32.752726 \nL 303.450921 43.854221 \nL 285.366193 55.969502 \nL 267.086969 67.893141 \nL 249.238212 78.773326 \nL 232.281743 88.12133 \nL 216.517487 95.745732 \nL 202.107774 101.660461 \nL 189.111214 106.000388 \nL 177.516354 108.958966 \nL 167.269864 110.748909 \nL 158.297602 111.580863 \nL 150.518832 111.653716 \nL 143.854866 111.151539 \nL 138.233452 110.243366 \nL 133.590201 109.083822 \nL 129.868011 107.813556 \nL 127.015276 106.558789 \nL 124.983524 105.430315 \nL 123.724906 104.521988 \nL 123.189883 103.909191 \nL 123.325392 103.647669 \nL 124.073712 103.773055 \nL 125.37202 104.301345 \nL 127.152725 105.230452 \nL 129.344443 106.542606 \nL 131.873512 108.207487 \nL 137.648647 112.432743 \nL 143.913687 117.54522 \nL 150.180889 123.188183 \nL 153.192762 126.113163 \nL 156.073324 129.066298 \nL 158.794327 132.023389 \nL 161.334477 134.964963 \nL 163.678758 137.875681 \nL 165.817657 140.743719 \nL 167.746318 143.560095 \nL 169.463722 146.318101 \nL 170.971877 149.012756 \nL 172.27509 151.640352 \nL 173.379306 154.198078 \nL 174.291532 156.683737 \nL 175.019344 159.095491 \nL 175.570486 161.431668 \nL 175.952526 163.690625 \nL 176.172604 165.870603 \nL 176.237221 167.969653 \nL 176.152087 169.98552 \nL 175.92202 171.915572 \nL 175.550868 173.756715 \nL 175.04147 175.505318 \nL 174.395639 177.157118 \nL 173.614171 178.707098 \nL 172.696863 180.149413 \nL 171.642555 181.477263 \nL 170.449179 182.68276 \nL 169.113836 183.756779 \nL 167.632865 184.688818 \nL 166.001964 185.466828 \nL 164.216313 186.077071 \nL 162.270728 186.503925 \nL 160.159856 186.729755 \nL 157.878409 186.734762 \nL 155.421449 186.496927 \nL 152.784754 185.991948 \nL 149.96523 185.193327 \nL 146.961436 184.072577 \nL 143.77419 182.599611 \nL 140.407299 180.743386 \nL 136.868397 178.472825 \nL 133.169887 175.758192 \nL 129.330018 172.572862 \nL 125.373982 168.895642 \nL 121.335115 164.713674 \nL 117.255988 160.025804 \nL 113.189376 154.846464 \nL 109.198929 149.209705 \nL 105.359364 143.173127 \nL 101.755969 136.821119 \nL 98.483194 130.266762 \nL 95.642188 123.651609 \nL 93.337035 117.14259 \nL 91.669795 110.925513 \nL 90.73448 105.19494 \nL 90.610308 100.141046 \nL 91.35494 95.934572 \nL 92.998418 92.711892 \nL 95.538705 90.562385 \nL 98.939622 89.520434 \nL 103.131621 89.563551 \nL 108.015567 90.616952 \nL 113.469064 92.563896 \nL 119.354598 95.259671 \nL 125.528425 98.546796 \nL 131.849128 102.269038 \nL 138.18498 106.282571 \nL 144.419475 110.463308 \nL 150.454835 114.710405 \nL 156.21355 118.946623 \nL 161.638276 123.116466 \nL 166.690501 127.182926 \nL 171.348389 131.123769 \nL 175.604239 134.927895 \nL 179.461798 138.592101 \nL 182.933699 142.11842 \nL 186.039123 145.512072 \nL 188.801781 148.779971 \nL 191.248215 151.929687 \nL 193.406429 154.968766 \nL 195.30482 157.904349 \nL 196.971365 160.742959 \nL 198.433031 163.490412 \nL 200.842295 168.731676 \nL 202.716372 173.66168 \nL 204.210069 178.305784 \nL 206.008951 184.776966 \nL 208.594478 194.349471 \nL 209.686937 197.777653 \nL 210.897594 200.981679 \nL 212.278829 203.959167 \nL 213.884296 206.702019 \nL 215.771849 209.194411 \nL 216.841298 210.338929 \nL 218.006216 211.409871 \nL 219.276175 212.401587 \nL 220.66147 213.307154 \nL 222.173185 214.118156 \nL 223.823246 214.824403 \nL 225.624457 215.413617 \nL 227.590529 215.871074 \nL 229.736076 216.179182 \nL 232.07658 216.316992 \nL 234.628315 216.259686 \nL 237.408205 215.977978 \nL 240.433595 215.437491 \nL 243.721928 214.59812 \nL 247.29028 213.413429 \nL 251.154703 211.830121 \nL 255.329367 209.787718 \nL 259.825406 207.21856 \nL 264.649425 204.04834 \nL 269.801633 200.197414 \nL 275.273503 195.583247 \nL 281.04492 190.124352 \nL 287.080906 183.746201 \nL 293.327856 176.389481 \nL 299.709559 168.021033 \nL 306.123282 158.647403 \nL 312.436416 148.330413 \nL 318.484472 137.203378 \nL 324.071353 125.485352 \nL 328.973085 113.489629 \nL 332.946056 101.621907 \nL 335.740574 90.363308 \nL 337.119758 80.235423 \nL 336.88264 71.748015 \nL 334.888675 65.335467 \nL 331.079781 61.293907 \nL 325.495181 59.734109 \nL 318.274951 60.563585 \nL 309.650317 63.504441 \nL 299.921701 68.142922 \nL 289.428608 73.997274 \nL 278.517081 80.586288 \nL 256.688921 94.35078 \nL 236.433534 107.117789 \nL 218.846397 117.940314 \nL 183.16123 139.613638 \nL 172.657762 146.371497 \nL 162.868556 152.786224 \nL 158.987842 155.067441 \nL 155.438417 156.761588 \nL 153.728862 157.385972 \nL 152.038004 157.858302 \nL 150.351127 158.174903 \nL 148.656363 158.331554 \nL 146.944549 158.323736 \nL 145.20911 158.146833 \nL 143.445966 157.796403 \nL 141.653488 157.268422 \nL 139.83246 156.559607 \nL 137.986086 155.667762 \nL 136.119989 154.592163 \nL 134.242206 153.333936 \nL 132.363224 151.896533 \nL 130.495927 150.286142 \nL 128.655562 148.512161 \nL 126.85964 146.587569 \nL 125.127763 144.529303 \nL 123.481368 142.358477 \nL 121.943402 140.100485 \nL 120.537857 137.78491 \nL 119.289206 135.445213 \nL 118.221767 133.118188 \nL 117.358901 130.843133 \nL 116.722217 128.660788 \nL 116.330678 126.612049 \nL 116.199753 124.736522 \nL 116.340593 123.071025 \nL 116.759352 121.648081 \nL 117.456667 120.49463 \nL 118.427318 119.630941 \nL 119.660189 119.069899 \nL 121.138472 118.8167 \nL 122.84013 118.868977 \nL 124.738586 119.217313 \nL 126.803637 119.846158 \nL 129.002457 120.734909 \nL 131.300702 121.859205 \nL 133.663576 123.192233 \nL 136.05687 124.705966 \nL 138.447838 126.372249 \nL 140.805947 128.163713 \nL 143.103444 130.054458 \nL 147.421611 134.04017 \nL 149.403264 136.093924 \nL 151.24624 138.164606 \nL 152.939231 140.23715 \nL 154.473816 142.298424 \nL 155.84414 144.336977 \nL 157.046566 146.342787 \nL 158.079321 148.307009 \nL 158.942146 150.22174 \nL 159.63597 152.079793 \nL 160.162607 153.874487 \nL 160.524482 155.599481 \nL 160.72441 157.248606 \nL 160.765384 158.815727 \nL 160.650435 160.294614 \nL 160.382501 161.678826 \nL 159.964346 162.961619 \nL 159.398493 164.135851 \nL 158.687219 165.193908 \nL 157.832555 166.127621 \nL 156.83632 166.928233 \nL 155.700197 167.586326 \nL 154.425814 168.091818 \nL 153.014875 168.433942 \nL 151.469311 168.601292 \nL 149.791464 168.581878 \nL 147.984298 168.363243 \nL 146.051646 167.932629 \nL 143.998491 167.277236 \nL 141.831268 166.384554 \nL 139.558211 165.242784 \nL 137.189716 163.841406 \nL 134.738702 162.171859 \nL 132.221014 160.228315 \nL 129.655773 158.008656 \nL 127.065688 155.515469 \nL 124.477351 152.757181 \nL 121.921343 149.749197 \nL 119.432275 146.514947 \nL 117.048556 143.086808 \nL 114.812001 139.5067 \nL 112.767077 135.826259 \nL 110.959907 132.106418 \nL 109.436892 128.416262 \nL 108.243073 124.831138 \nL 107.420216 121.429949 \nL 107.00476 118.291752 \nL 107.025723 115.491876 \nL 107.502758 113.097851 \nL 108.444552 111.165621 \nL 109.847668 109.73625 \nL 111.696105 108.833768 \nL 113.961509 108.464258 \nL 116.604221 108.616235 \nL 119.574907 109.262442 \nL 122.816819 110.362651 \nL 126.268355 111.867079 \nL 129.86576 113.720185 \nL 133.545713 115.864189 \nL 137.247659 118.242235 \nL 140.915728 120.800832 \nL 144.500114 123.491556 \nL 147.958004 126.272027 \nL 151.253963 129.106236 \nL 154.359952 131.96443 \nL 157.25498 134.822615 \nL 159.924519 137.661848 \nL 162.359749 140.467475 \nL 164.556736 143.228335 \nL 166.51558 145.936055 \nL 168.239567 148.584373 \nL 169.734403 151.168595 \nL 171.007516 153.68516 \nL 172.067432 156.131248 \nL 172.923256 158.5045 \nL 173.584228 160.802806 \nL 174.059375 163.024115 \nL 174.357224 165.166283 \nL 174.485589 167.226975 \nL 174.451414 169.203553 \nL 174.260654 171.093 \nL 173.918215 172.891804 \nL 173.427911 174.595898 \nL 172.792456 176.200555 \nL 172.013479 177.700292 \nL 171.091552 179.08875 \nL 170.026251 180.358598 \nL 168.81622 181.501377 \nL 167.459251 182.507387 \nL 165.952392 183.365531 \nL 164.292076 184.063178 \nL 162.474262 184.58599 \nL 160.494629 184.917809 \nL 158.348788 185.040521 \nL 156.032546 184.933959 \nL 153.542234 184.57589 \nL 150.87509 183.942039 \nL 148.029716 183.006266 \nL 145.006636 181.740861 \nL 141.808927 180.11708 \nL 138.44298 178.105913 \nL 134.919343 175.679204 \nL 131.253659 172.811175 \nL 127.46769 169.480353 \nL 123.590382 165.672039 \nL 119.658908 161.381245 \nL 115.719607 156.616045 \nL 111.828682 151.40121 \nL 108.052554 145.781831 \nL 104.467671 139.826557 \nL 101.159538 133.629824 \nL 98.220855 127.312533 \nL 95.748581 121.020407 \nL 93.839854 114.919444 \nL 92.586879 109.188274 \nL 92.071019 104.007473 \nL 92.35658 99.546603 \nL 93.48488 95.950533 \nL 95.469411 93.326791 \nL 98.292785 91.735976 \nL 101.906095 91.187025 \nL 106.230915 91.638189 \nL 111.163859 93.003542 \nL 116.583183 95.163799 \nL 122.3566 97.979611 \nL 128.349334 101.304913 \nL 134.431578 104.998684 \nL 140.484573 108.933674 \nL 146.404998 113.001774 \nL 152.107499 117.116238 \nL 157.525557 121.211254 \nL 162.611004 125.239878 \nL 167.332524 129.171005 \nL 171.673575 132.986043 \nL 175.629989 136.675789 \nL 179.207548 140.237637 \nL 182.41968 143.673373 \nL 185.285386 146.987448 \nL 187.827454 150.185741 \nL 190.070972 153.274686 \nL 192.042122 156.260727 \nL 193.767248 159.14999 \nL 195.27215 161.948097 \nL 196.581566 164.660124 \nL 198.705657 169.843403 \nL 200.30612 174.729931 \nL 201.521718 179.343342 \nL 202.464693 183.702614 \nL 203.557553 189.798873 \nL 205.630343 202.16919 \nL 206.642373 206.751942 \nL 207.438663 209.583831 \nL 208.369235 212.240697 \nL 209.469122 214.722383 \nL 210.778319 217.024696 \nL 212.34362 219.137862 \nL 214.220562 221.04427 \nL 215.296154 221.911501 \nL 216.475504 222.715146 \nL 217.768963 223.449087 \nL 219.187835 224.105809 \nL 220.74445 224.676117 \nL 222.452232 225.148818 \nL 224.32574 225.510339 \nL 226.38072 225.744268 \nL 228.634112 225.830828 \nL 231.104027 225.746276 \nL 233.809683 225.4622 \nL 236.771262 224.944756 \nL 240.009675 224.153818 \nL 243.546196 223.042091 \nL 247.40193 221.554227 \nL 251.597069 219.62603 \nL 256.149833 217.183864 \nL 261.075079 214.144474 \nL 266.382457 210.415456 \nL 272.073998 205.896789 \nL 278.141136 200.483874 \nL 284.560982 194.072693 \nL 291.291913 186.567746 \nL 298.26856 177.893472 \nL 305.396377 168.009523 \nL 312.546289 156.929963 \nL 319.550193 144.745435 \nL 326.198383 131.645906 \nL 332.240462 117.939826 \nL 337.391427 104.063458 \nL 341.344494 90.572946 \nL 343.791799 78.112097 \nL 344.452386 67.352701 \nL 343.10522 58.911178 \nL 339.622169 53.255356 \nL 333.994406 50.623035 \nL 326.345147 50.976566 \nL 316.924024 54.009484 \nL 306.082496 59.205819 \nL 294.234951 65.934729 \nL 281.813803 73.552979 \nL 256.830842 89.293878 \nL 244.903762 96.6564 \nL 233.649753 103.392864 \nL 223.199023 109.421324 \nL 213.619521 114.732228 \nL 204.930022 119.361575 \nL 190.126355 126.827916 \nL 178.403946 132.370948 \nL 169.22847 136.48542 \nL 159.078762 140.75751 \nL 154.056183 142.678197 \nL 150.007071 144.025315 \nL 146.660758 144.88674 \nL 143.816168 145.320908 \nL 141.330466 145.369802 \nL 139.108477 145.068077 \nL 137.09349 144.449606 \nL 135.259382 143.552216 \nL 133.603789 142.420965 \nL 132.141975 141.110059 \nL 130.90104 139.68332 \nL 129.914306 138.213072 \nL 129.215739 136.777387 \nL 128.834582 135.455869 \nL 128.790478 134.324344 \nL 129.089442 133.449187 \nL 129.365051 133.124588 \nL 129.721239 132.882079 \nL 130.658383 132.656155 \nL 131.857014 132.783959 \nL 133.259478 133.257673 \nL 134.798229 134.051287 \nL 136.400514 135.124143 \nL 137.993083 136.425222 \nL 139.506443 137.897351 \nL 140.878207 139.480852 \nL 142.055324 141.116305 \nL 142.995226 142.746384 \nL 143.666068 144.316854 \nL 144.046326 145.776986 \nL 144.124011 147.079595 \nL 143.895815 148.180965 \nL 143.366368 149.040843 \nL 142.547772 149.622717 \nL 141.459488 149.894475 \nL 140.128551 149.82962 \nL 138.5901 149.409055 \nL 136.888064 148.623456 \nL 135.075756 147.4762 \nL 133.216182 145.986512 \nL 131.381637 144.192477 \nL 129.652263 142.153282 \nL 128.113267 139.949875 \nL 126.850577 137.683219 \nL 125.944956 135.469574 \nL 125.465106 133.432636 \nL 125.401202 132.518593 \nL 125.460352 131.693125 \nL 125.64463 130.968955 \nL 125.954204 130.3572 \nL 126.387248 129.867097 \nL 126.939931 129.505773 \nL 127.606464 129.278106 \nL 128.379183 129.186659 \nL 129.24872 129.231707 \nL 130.204206 129.411293 \nL 132.323475 130.156261 \nL 134.629813 131.369064 \nL 137.009571 132.976396 \nL 139.351511 134.893101 \nL 141.554063 137.03003 \nL 143.530297 139.299959 \nL 145.210477 141.621165 \nL 146.542432 143.919001 \nL 147.490387 146.125938 \nL 148.032841 148.180649 \nL 148.160145 150.02674 \nL 147.872281 151.611403 \nL 147.574843 152.289909 \nL 147.177121 152.884378 \nL 146.68117 153.388836 \nL 146.089466 153.797439 \nL 145.404917 154.104504 \nL 144.630895 154.304546 \nL 143.771273 154.392326 \nL 142.830471 154.362932 \nL 141.813533 154.211895 \nL 139.574894 153.529859 \nL 137.110691 152.324088 \nL 134.49075 150.589259 \nL 131.801374 148.343521 \nL 129.1462 145.635595 \nL 126.645203 142.551016 \nL 124.43087 139.215588 \nL 122.640976 135.793977 \nL 121.94709 134.111049 \nL 121.407742 132.481389 \nL 121.036337 130.931554 \nL 120.844129 129.487641 \nL 120.839782 128.174505 \nL 121.028969 127.014936 \nL 121.414051 126.028937 \nL 121.993844 125.233051 \nL 122.763519 124.639829 \nL 123.714628 124.257527 \nL 124.835279 124.089939 \nL 126.110388 124.136431 \nL 127.522138 124.392236 \nL 129.050433 124.848835 \nL 130.673503 125.494512 \nL 132.368489 126.314965 \nL 135.880923 128.414083 \nL 139.40533 131.004834 \nL 142.77606 133.943093 \nL 145.854599 137.094501 \nL 148.534323 140.340995 \nL 150.740359 143.582345 \nL 152.425978 146.734437 \nL 153.567144 149.725827 \nL 153.930781 151.141431 \nL 154.156574 152.49383 \nL 154.24534 153.775932 \nL 154.198326 154.980771 \nL 154.017107 156.101393 \nL 153.7035 157.130799 \nL 153.259524 158.06189 \nL 152.687358 158.887392 \nL 151.989343 159.599856 \nL 151.168001 160.191624 \nL 150.226062 160.654837 \nL 149.166557 160.981435 \nL 147.99288 161.163234 \nL 146.708908 161.191995 \nL 145.319132 161.059534 \nL 143.828797 160.757869 \nL 142.244077 160.279422 \nL 140.572254 159.617278 \nL 138.821909 158.765467 \nL 137.003121 157.719347 \nL 135.127649 156.475996 \nL 133.20914 155.034714 \nL 131.263256 153.397501 \nL 129.307833 151.569627 \nL 127.362934 149.560169 \nL 125.450837 147.382541 \nL 123.595973 145.054935 \nL 121.824695 142.600661 \nL 120.164956 140.048311 \nL 118.645843 137.431678 \nL 117.296945 134.789436 \nL 116.147593 132.164437 \nL 115.225955 129.602722 \nL 114.558022 127.152148 \nL 114.166572 124.860763 \nL 114.070079 122.774957 \nL 114.28174 120.93754 \nL 114.808625 119.385851 \nL 115.651038 118.150096 \nL 116.802174 117.252066 \nL 118.248091 116.704311 \nL 119.968024 116.509884 \nL 121.935049 116.662698 \nL 124.11703 117.148315 \nL 126.477787 117.945235 \nL 128.978399 119.026474 \nL 131.578613 120.361211 \nL 134.238156 121.916481 \nL 136.917936 123.658692 \nL 139.581129 125.554907 \nL 142.19395 127.573858 \nL 144.726281 129.686657 \nL 147.152007 131.867199 \nL 149.449167 134.092361 \nL 151.599903 136.341971 \nL 153.590273 138.598646 \nL 155.409938 140.847538 \nL 157.051791 143.076016 \nL 158.511513 145.273331 \nL 159.787144 147.430289 \nL 160.878634 149.538935 \nL 161.787428 151.592262 \nL 162.516081 153.583965 \nL 163.067913 155.508214 \nL 163.446712 157.359458 \nL 163.656473 159.13226 \nL 163.701187 160.821152 \nL 163.584686 162.420487 \nL 163.310503 163.92435 \nL 162.881792 165.326429 \nL 162.301273 166.619929 \nL 161.57121 167.797459 \nL 160.69342 168.850987 \nL 159.669314 169.771713 \nL 158.499965 170.550039 \nL 157.186207 171.175508 \nL 155.728754 171.636738 \nL 154.128354 171.921442 \nL 152.385984 172.016434 \nL 150.503071 171.907685 \nL 148.481745 171.580454 \nL 146.325152 171.019472 \nL 144.037777 170.209248 \nL 141.625835 169.134426 \nL 139.097688 167.780352 \nL 136.464299 166.133739 \nL 133.739705 164.183505 \nL 130.941507 161.921805 \nL 128.091349 159.345247 \nL 125.215333 156.456223 \nL 122.344367 153.264399 \nL 119.514388 149.788195 \nL 116.766357 146.056229 \nL 114.146031 142.108491 \nL 111.703399 137.997128 \nL 109.491724 133.786604 \nL 107.566181 129.553034 \nL 105.98206 125.382482 \nL 104.792545 121.368196 \nL 104.046194 117.606743 \nL 103.78424 114.193223 \nL 104.037901 111.215967 \nL 104.825985 108.75114 \nL 106.152964 106.857908 \nL 108.007881 105.574704 \nL 110.364105 104.917167 \nL 113.180186 104.877929 \nL 116.401624 105.428332 \nL 119.963499 106.521808 \nL 123.79369 108.09837 \nL 127.816355 110.089645 \nL 131.955387 112.423873 \nL 136.137538 115.030236 \nL 140.295027 117.842356 \nL 144.367467 120.800652 \nL 148.303133 123.853676 \nL 152.059534 126.958532 \nL 155.603438 130.080622 \nL 158.910435 133.192887 \nL 161.96416 136.274809 \nL 164.755327 139.311281 \nL 167.280653 142.291545 \nL 169.541755 145.208186 \nL 171.5441 148.05628 \nL 173.296022 150.8327 \nL 174.80786 153.535559 \nL 176.091201 156.163753 \nL 177.158249 158.716659 \nL 178.021305 161.193884 \nL 178.692352 163.595077 \nL 179.182727 165.919821 \nL 179.502889 168.167525 \nL 179.662234 170.337334 \nL 179.66898 172.428096 \nL 179.530089 174.438281 \nL 179.251235 176.365923 \nL 178.836787 178.208553 \nL 178.28982 179.963146 \nL 177.612145 181.626019 \nL 176.804342 183.192756 \nL 175.865812 184.658065 \nL 174.794831 186.015711 \nL 173.588611 187.258327 \nL 172.243373 188.377282 \nL 170.754429 189.362521 \nL 169.116272 190.202357 \nL 167.322701 190.883273 \nL 165.366942 191.389718 \nL 163.241831 191.703875 \nL 160.940017 191.805468 \nL 158.454214 191.671563 \nL 155.777545 191.276431 \nL 152.903921 190.591461 \nL 149.828551 189.585215 \nL 146.548556 188.223622 \nL 143.063683 186.470413 \nL 139.377206 184.287871 \nL 135.496951 181.637982 \nL 131.436477 178.484113 \nL 127.216406 174.793273 \nL 122.865869 170.539136 \nL 118.424008 165.705766 \nL 113.941398 160.292145 \nL 109.481306 154.317243 \nL 105.120535 147.825417 \nL 100.949625 140.891543 \nL 97.072103 133.625107 \nL 93.602499 126.172292 \nL 90.662838 118.714898 \nL 88.377456 111.465064 \nL 86.866169 104.655081 \nL 86.23612 98.522341 \nL 86.572922 93.290476 \nL 87.932128 89.148959 \nL 90.332086 86.234096 \nL 93.7495 84.614963 \nL 98.118601 84.287117 \nL 103.334307 85.175432 \nL 109.259205 87.145704 \nL 115.733454 90.02244 \nL 122.586166 93.609538 \nL 129.646791 97.710006 \nL 136.755125 102.141943 \nL 143.768974 106.749184 \nL 150.569059 111.406515 \nL 157.061269 116.020114 \nL 163.176601 120.524835 \nL 168.869453 124.879604 \nL 174.114808 129.062153 \nL 178.904919 133.063972 \nL 183.245867 136.885931 \nL 187.154296 140.534756 \nL 190.654499 144.020393 \nL 193.775934 147.354147 \nL 196.551175 150.54745 \nL 199.014295 153.611111 \nL 201.199615 156.554915 \nL 203.140799 159.387424 \nL 206.418422 164.746734 \nL 209.08379 169.734244 \nL 212.370957 176.580294 \nL 215.288195 182.705925 \nL 217.243441 186.392886 \nL 219.331972 189.75118 \nL 221.648679 192.75892 \nL 222.920724 194.120808 \nL 224.283313 195.380368 \nL 225.747555 196.530299 \nL 227.324702 197.561829 \nL 229.026219 198.464516 \nL 230.863823 199.226001 \nL 232.849492 199.831736 \nL 234.995441 200.264687 \nL 237.314049 200.505018 \nL 239.817734 200.529768 \nL 242.518758 200.312508 \nL 245.428951 199.823063 \nL 248.559331 199.027241 \nL 251.919606 197.886705 \nL 255.517506 196.358997 \nL 259.357967 194.39783 \nL 263.442085 191.953737 \nL 267.765861 188.975246 \nL 272.318677 185.410706 \nL 277.081553 181.211017 \nL 282.02516 176.333367 \nL 287.10766 170.746185 \nL 292.272516 164.435345 \nL 297.446429 157.411572 \nL 302.537703 149.718581 \nL 307.435377 141.441374 \nL 312.009615 132.713397 \nL 316.113896 123.721061 \nL 319.589409 114.703552 \nL 322.272084 105.946026 \nL 324.002325 97.764812 \nL 324.636936 90.48432 \nL 324.062334 84.40741 \nL 322.20744 79.783011 \nL 319.054194 76.776753 \nL 314.643707 75.450621 \nL 309.0765 75.756541 \nL 302.50624 77.545886 \nL 295.127658 80.592663 \nL 287.160545 84.625336 \nL 278.832298 89.360254 \nL 270.361633 94.530511 \nL 261.945505 99.906167 \nL 245.907438 110.593155 \nL 231.629662 120.523545 \nL 219.508586 129.384898 \nL 214.271832 133.412718 \nL 209.55831 137.19221 \nL 205.335115 140.743539 \nL 201.562899 144.087367 \nL 198.198655 147.243218 \nL 195.197848 150.228559 \nL 190.10988 155.745178 \nL 185.961951 160.727382 \nL 176.377437 172.872066 \nL 173.416276 175.99578 \nL 171.885519 177.36984 \nL 170.299227 178.610277 \nL 168.64248 179.709075 \nL 166.901506 180.656785 \nL 165.063577 181.442401 \nL 163.116951 182.053267 \nL 161.05086 182.474977 \nL 158.85555 182.69128 \nL 156.52238 182.684008 \nL 154.043994 182.433099 \nL 151.414545 181.916619 \nL 148.630031 181.110932 \nL 145.688701 179.99101 \nL 142.591557 178.530887 \nL 139.342966 176.704373 \nL 135.95135 174.486046 \nL 132.430001 171.852571 \nL 128.797935 168.78444 \nL 125.080802 165.268094 \nL 121.311783 161.298472 \nL 117.532404 156.881967 \nL 113.793167 152.039564 \nL 110.153874 146.810058 \nL 106.683478 141.252936 \nL 103.459323 135.450485 \nL 100.565587 129.508652 \nL 98.090818 123.555984 \nL 96.124496 117.740178 \nL 94.752673 112.222012 \nL 94.05284 107.166562 \nL 94.088442 102.732318 \nL 94.903524 99.059329 \nL 96.518108 96.257633 \nL 98.92499 94.398033 \nL 102.088492 93.506385 \nL 105.945443 93.562712 \nL 110.408512 94.505099 \nL 115.371423 96.237826 \nL 120.715559 98.64219 \nL 126.317094 101.588258 \nL 132.053894 104.945775 \nL 137.811494 108.593096 \nL 143.487674 112.423207 \nL 148.995501 116.347054 \nL 154.2648 120.294263 \nL 159.242298 124.212163 \nL 163.890762 128.063559 \nL 168.187392 131.824031 \nL 172.121817 135.479119 \nL 175.693952 139.021741 \nL 178.911861 142.449991 \nL 181.789773 145.765382 \nL 184.346323 148.971494 \nL 186.603049 152.073026 \nL 188.58314 155.075122 \nL 190.310445 157.982953 \nL 191.808688 160.801448 \nL 193.100892 163.535161 \nL 194.208954 166.188238 \nL 195.953051 171.26698 \nL 197.185534 176.062959 \nL 198.024375 180.596596 \nL 198.562216 184.884809 \nL 198.869265 188.942084 \nL 199.004806 194.622494 \nL 198.84286 199.849467 \nL 198.43557 204.655609 \nL 197.792107 209.068436 \nL 197.220852 211.802739 \nL 196.519133 214.376456 \nL 195.665853 216.792047 \nL 194.633372 219.049231 \nL 193.386706 221.143979 \nL 191.882383 223.067007 \nL 190.066962 224.801567 \nL 187.875222 226.320235 \nL 186.614119 226.985999 \nL 185.228069 227.580201 \nL 183.704642 228.093973 \nL 182.030257 228.516486 \nL 180.190117 228.834561 \nL 178.16816 229.032206 \nL 175.947032 229.090082 \nL 173.508084 228.984868 \nL 170.831425 228.688552 \nL 167.896033 228.167605 \nL 164.679961 227.382081 \nL 161.160659 226.284652 \nL 157.315474 224.819605 \nL 153.122349 222.921904 \nL 148.560836 220.516408 \nL 143.613446 217.517452 \nL 138.267478 213.82903 \nL 132.517401 209.345991 \nL 126.367884 203.95671 \nL 119.837602 197.547918 \nL 112.963824 190.012385 \nL 105.807735 181.260294 \nL 98.460313 171.234878 \nL 91.04835 159.932606 \nL 83.739795 147.427128 \nL 76.747362 133.894883 \nL 70.32873 119.638067 \nL 64.781457 105.098419 \nL 60.430735 90.853386 \nL 57.608449 77.586251 \nL 56.623781 66.025099 \nL 57.72743 56.853305 \nL 61.074587 50.605244 \nL 66.694028 47.571131 \nL 74.471391 47.739394 \nL 84.15272 50.797263 \nL 95.369512 56.192486 \nL 107.680727 63.2381 \nL 120.622413 71.228612 \nL 146.695591 87.670815 \nL 159.144095 95.294653 \nL 170.882698 102.213018 \nL 181.773329 108.343383 \nL 191.744985 113.682177 \nL 200.779146 118.274705 \nL 208.895478 122.191939 \nL 216.139371 125.514413 \nL 228.262493 130.689583 \nL 237.704755 134.356549 \nL 245.018111 136.934158 \nL 250.68475 138.716812 \nL 255.098225 139.906587 \nL 258.566259 140.642779 \nL 261.321961 141.024082 \nL 263.537104 141.123859 \nL 265.334796 141.000216 \nL 266.800542 140.702499 \nL 267.991613 140.275337 \nL 268.944721 139.760864 \nL 269.974848 138.914051 \nL 270.560624 138.092676 \nL 270.728721 137.41446 \nL 270.623891 137.090348 \nL 270.360885 136.894151 \nL 269.957772 136.839858 \nL 269.140906 137.03643 \nL 268.15278 137.555013 \nL 267.098173 138.351566 \nL 266.084419 139.355474 \nL 265.211298 140.478771 \nL 264.562706 141.625087 \nL 264.200846 142.697414 \nL 264.163059 143.604186 \nL 264.324559 144.076131 \nL 264.632541 144.41764 \nL 265.078832 144.611769 \nL 265.650302 144.645811 \nL 266.329031 144.511991 \nL 267.497865 143.993665 \nL 268.763132 143.115006 \nL 270.014597 141.933118 \nL 271.132212 140.542617 \nL 271.996773 139.071378 \nL 272.50365 137.669376 \nL 272.604208 136.849821 \nL 272.499674 136.172254 \nL 272.188085 135.672598 \nL 271.678075 135.377898 \nL 270.988758 135.304549 \nL 270.148766 135.457441 \nL 269.194569 135.83007 \nL 267.642074 136.761622 \nL 266.080272 138.055694 \nL 264.658185 139.591618 \nL 263.506152 141.23489 \nL 262.725573 142.849049 \nL 262.446343 143.84426 \nL 262.374309 144.732549 \nL 262.514031 145.480815 \nL 262.86347 146.059271 \nL 263.414173 146.441966 \nL 264.151381 146.60753 \nL 265.054092 146.540111 \nL 266.095074 146.230483 \nL 267.240901 145.677397 \nL 268.452173 144.888919 \nL 269.683978 143.883796 \nL 270.886793 142.692381 \nL 272.007917 141.35702 \nL 272.993592 139.931504 \nL 273.791732 138.479319 \nL 274.355212 137.070627 \nL 274.645423 135.777947 \nL 274.635774 134.671039 \nL 274.314618 133.811426 \nL 273.687168 133.247403 \nL 272.776015 133.010242 \nL 271.620058 133.112216 \nL 270.271916 133.54653 \nL 268.794196 134.289216 \nL 267.25503 135.302293 \nL 265.723602 136.53762 \nL 264.266023 137.940835 \nL 262.942091 139.45479 \nL 261.803054 141.022219 \nL 260.890372 142.587571 \nL 260.23535 144.098048 \nL 259.859413 145.504151 \nL 259.774727 146.759772 \nL 259.984962 147.822221 \nL 260.485949 148.652312 \nL 261.266106 149.21467 \nL 262.306566 149.478404 \nL 263.581004 149.418292 \nL 265.055188 149.016439 \nL 266.686419 148.264584 \nL 268.423042 147.166726 \nL 270.204272 145.742063 \nL 271.960682 144.027699 \nL 273.615622 142.080575 \nL 275.087981 139.977953 \nL 276.296268 137.81568 \nL 277.164095 135.703693 \nL 277.626669 133.758696 \nL 277.63748 132.094558 \nL 277.465436 131.399987 \nL 277.174255 130.811645 \nL 276.76561 130.33835 \nL 276.243057 129.986972 \nL 275.611993 129.762287 \nL 274.879564 129.666927 \nL 274.05453 129.701363 \nL 272.168588 130.151322 \nL 270.048571 131.077354 \nL 267.799783 132.420533 \nL 265.529891 134.105888 \nL 263.341257 136.050303 \nL 261.32503 138.169075 \nL 259.557443 140.380566 \nL 258.098272 142.60877 \nL 256.99105 144.784194 \nL 256.264526 146.843639 \nL 255.934688 148.729241 \nL 256.006938 150.387329 \nL 256.193092 151.115165 \nL 256.477901 151.767379 \nL 256.859781 152.338034 \nL 257.336723 152.821335 \nL 257.90629 153.211652 \nL 258.565596 153.503516 \nL 259.311291 153.691697 \nL 260.13952 153.771232 \nL 261.045878 153.737523 \nL 263.072246 153.314309 \nL 265.341853 152.396446 \nL 267.793333 150.9721 \nL 270.35057 149.049029 \nL 272.921484 146.660935 \nL 275.398245 143.873628 \nL 277.659732 140.789348 \nL 279.576826 137.547562 \nL 281.021062 134.320157 \nL 281.528694 132.771723 \nL 281.876204 131.299911 \nL 282.05318 129.929132 \nL 282.051669 128.682594 \nL 281.866504 127.581591 \nL 281.495631 126.644819 \nL 280.94029 125.887777 \nL 280.205099 125.322301 \nL 279.298041 124.956242 \nL 278.23032 124.793345 \nL 277.01608 124.833283 \nL 275.672032 125.071887 \nL 274.217008 125.501485 \nL 272.671437 126.111411 \nL 271.056801 126.888533 \nL 267.708163 128.8832 \nL 264.343449 131.353743 \nL 261.12023 134.164326 \nL 258.171454 137.186784 \nL 255.600689 140.307106 \nL 253.481886 143.427317 \nL 251.862392 146.464234 \nL 250.767766 149.346558 \nL 250.420638 150.709852 \nL 250.207163 152.011358 \nL 250.126735 153.243968 \nL 250.178299 154.400683 \nL 250.360432 155.474557 \nL 250.671433 156.458616 \nL 251.109356 157.34582 \nL 251.672047 158.129 \nL 252.357151 158.800859 \nL 253.162081 159.353928 \nL 254.083993 159.780595 \nL 255.11971 160.073142 \nL 256.265652 160.22377 \nL 257.517717 160.224709 \nL 258.871172 160.068332 \nL 260.32051 159.747296 \nL 261.85929 159.254749 \nL 263.479976 158.584582 \nL 265.173755 157.731719 \nL 266.930372 156.692452 \nL 268.737941 155.464858 \nL 270.582801 154.049219 \nL 272.449372 152.448518 \nL 274.320068 150.668905 \nL 276.175251 148.7202 \nL 277.993276 146.616356 \nL 279.750581 144.375796 \nL 281.421938 142.02171 \nL 282.980779 139.582099 \nL 284.399667 137.089681 \nL 285.65091 134.581473 \nL 286.707287 132.098113 \nL 287.542887 129.68288 \nL 288.134046 127.380396 \nL 288.460304 125.235127 \nL 288.505378 123.289695 \nL 288.257996 121.58314 \nL 287.712681 120.149267 \nL 286.870245 119.015204 \nL 285.738058 118.200297 \nL 284.330039 117.715415 \nL 282.666317 117.562822 \nL 280.772599 117.736452 \nL 278.679299 118.222736 \nL 276.420448 119.00172 \nL 274.032508 120.048464 \nL 271.553126 121.334547 \nL 269.019925 122.829541 \nL 266.469412 124.502378 \nL 263.936041 126.322484 \nL 261.451453 128.260722 \nL 259.043965 130.290012 \nL 256.738219 132.38573 \nL 254.55506 134.525889 \nL 252.511557 136.691153 \nL 250.621179 138.864697 \nL 248.894056 141.031994 \nL 247.337323 143.180553 \nL 245.955499 145.299615 \nL 244.750903 147.379858 \nL 243.724035 149.413113 \nL 242.873969 151.392127 \nL 242.198705 153.310284 \nL 241.695483 155.161433 \nL 241.361061 156.939687 \nL 241.19196 158.639269 \nL 241.184644 160.25436 \nL 241.335684 161.778996 \nL 241.641883 163.206922 \nL 242.100332 164.531525 \nL 242.708478 165.745712 \nL 243.464132 166.841828 \nL 244.365451 167.811609 \nL 245.410891 168.646075 \nL 246.599144 169.335502 \nL 247.929026 169.869379 \nL 249.399353 170.236395 \nL 251.008764 170.42444 \nL 252.755551 170.420654 \nL 254.63741 170.211555 \nL 256.651186 169.783171 \nL 258.792577 169.121293 \nL 261.055789 168.211795 \nL 263.433177 167.041118 \nL 265.914833 165.596794 \nL 268.48816 163.868194 \nL 271.137447 161.847397 \nL 273.84344 159.530216 \nL 276.582933 156.917351 \nL 279.32846 154.015681 \nL 282.048041 150.839553 \nL 284.705147 147.412106 \nL 287.258822 143.766366 \nL 289.664082 139.946115 \nL 291.872661 136.006195 \nL 293.834074 132.012246 \nL 295.497093 128.039557 \nL 296.811588 124.171029 \nL 297.730649 120.494177 \nL 298.212957 117.097269 \nL 298.225204 114.064813 \nL 297.744363 111.472806 \nL 296.759621 109.384206 \nL 295.273748 107.845069 \nL 293.303694 106.881919 \nL 290.880374 106.500634 \nL 288.047499 106.686995 \nL 284.859672 107.408824 \nL 281.37979 108.619294 \nL 277.676067 110.261139 \nL 273.818915 112.271042 \nL 269.877963 114.583839 \nL 265.919416 117.13613 \nL 262.003922 119.868981 \nL 258.185038 122.729781 \nL 254.508295 125.673183 \nL 251.010823 128.661352 \nL 247.721446 131.663637 \nL 244.66116 134.655864 \nL 241.843857 137.619475 \nL 239.277224 140.540575 \nL 236.963707 143.40898 \nL 234.901499 146.217409 \nL 233.085466 148.960744 \nL 231.508012 151.635431 \nL 230.159847 154.23899 \nL 229.030647 156.769654 \nL 228.109615 159.226064 \nL 227.385933 161.607058 \nL 226.84914 163.911491 \nL 226.489408 166.138123 \nL 226.297767 168.285511 \nL 226.266248 170.35192 \nL 226.388003 172.335248 \nL 226.657356 174.23295 \nL 227.069851 176.041981 \nL 227.622242 177.758687 \nL 228.312491 179.378743 \nL 229.139728 180.897022 \nL 230.104214 182.307525 \nL 231.207276 183.603221 \nL 232.451244 184.775932 \nL 233.839365 185.816165 \nL 235.37571 186.712956 \nL 237.065053 187.453703 \nL 238.912738 188.023964 \nL 240.924511 188.407309 \nL 243.106315 188.585108 \nL 245.464039 188.536412 \nL 248.003219 188.237823 \nL 250.728657 187.663477 \nL 253.643967 186.785091 \nL 256.751022 185.572177 \nL 260.049296 183.992436 \nL 263.535079 182.012465 \nL 267.200582 179.598771 \nL 271.032876 176.719223 \nL 275.012755 173.345036 \nL 279.113505 169.453326 \nL 283.29961 165.030292 \nL 287.525523 160.075014 \nL 291.734635 154.603716 \nL 295.858517 148.654277 \nL 299.816752 142.29058 \nL 303.517513 135.606017 \nL 306.859191 128.725446 \nL 309.733222 121.804681 \nL 312.028335 115.026647 \nL 313.636173 108.593591 \nL 314.458052 102.715348 \nL 314.412431 97.59419 \nL 313.442314 93.407915 \nL 311.521694 90.293463 \nL 308.660044 88.333719 \nL 304.903969 87.54994 \nL 300.335662 87.901387 \nL 295.068011 89.292289 \nL 289.237029 91.58475 \nL 282.99253 94.615104 \nL 276.488343 98.210901 \nL 269.873135 102.205772 \nL 263.282903 106.450527 \nL 256.835604 110.819882 \nL 250.628044 115.21494 \nL 244.734894 119.56248 \nL 239.209373 123.812054 \nL 234.085129 127.931978 \nL 229.378818 131.905095 \nL 225.093021 135.724807 \nL 221.219146 139.391713 \nL 217.740138 142.910922 \nL 214.632897 146.290057 \nL 211.870311 149.537859 \nL 209.422934 152.663222 \nL 207.260318 155.67465 \nL 205.352024 158.579925 \nL 203.668379 161.385979 \nL 200.86314 166.723833 \nL 198.638261 171.727082 \nL 196.817485 176.423848 \nL 190.993145 192.455196 \nL 189.426202 195.802942 \nL 187.66367 198.878199 \nL 185.636232 201.663352 \nL 184.500868 202.938566 \nL 183.271888 204.129191 \nL 181.93936 205.229088 \nL 180.492827 206.230792 \nL 178.921242 207.125289 \nL 177.212919 207.901762 \nL 175.355512 208.547285 \nL 173.335997 209.046488 \nL 171.140709 209.381183 \nL 168.755404 209.529926 \nL 166.165374 209.467575 \nL 163.355643 209.164795 \nL 160.311237 208.587583 \nL 157.017569 207.696789 \nL 153.460973 206.447757 \nL 149.629416 204.79007 \nL 145.513413 202.66759 \nL 141.10721 200.018875 \nL 136.410274 196.778183 \nL 131.429117 192.877287 \nL 126.179505 188.248401 \nL 120.68902 182.828509 \nL 114.999959 176.565383 \nL 109.172457 169.425547 \nL 103.287575 161.404196 \nL 97.450076 152.536777 \nL 91.790361 142.911349 \nL 86.464856 132.68026 \nL 81.654122 122.068629 \nL 77.55783 111.376643 \nL 74.385909 100.972282 \nL 72.345605 91.271584 \nL 71.624905 82.705701 \nL 72.37364 75.676886 \nL 74.684784 70.509535 \nL 78.57913 67.405918 \nL 83.996581 66.41686 \nL 90.796651 67.435722 \nL 98.768851 70.217953 \nL 107.651626 74.421607 \nL 117.156512 79.658582 \nL 126.993209 85.544686 \nL 136.891597 91.73871 \nL 155.98384 104.024853 \nL 187.706303 124.745289 \nL 199.673912 132.810012 \nL 209.277568 139.612869 \nL 216.91435 145.408877 \nL 223.015838 150.397515 \nL 230.166158 156.642636 \nL 235.917182 161.582466 \nL 239.411489 164.170235 \nL 241.132932 165.244809 \nL 242.864369 166.166423 \nL 244.622944 166.928463 \nL 246.423442 167.523171 \nL 248.278409 167.941737 \nL 250.198233 168.174403 \nL 252.19119 168.210565 \nL 254.26342 168.038951 \nL 256.418884 167.647831 \nL 258.659234 167.025276 \nL 260.983666 166.159527 \nL 263.388707 165.03947 \nL 265.867982 163.655181 \nL 268.41192 161.998631 \nL 271.007484 160.064503 \nL 273.637889 157.85115 \nL 276.282325 155.36162 \nL 278.91578 152.604819 \nL 281.508938 149.596613 \nL 284.028225 146.360936 \nL 286.436039 142.930678 \nL 288.691232 139.348288 \nL 290.749856 135.665933 \nL 292.566237 131.945059 \nL 294.094355 128.255261 \nL 295.289505 124.672317 \nL 296.110274 121.275468 \nL 296.520585 118.144012 \nL 296.491809 115.353365 \nL 296.004726 112.971013 \nL 295.051128 111.052659 \nL 293.634957 109.639028 \nL 291.772748 108.753686 \nL 289.493363 108.402154 \nL 286.836983 108.572383 \nL 283.853389 109.236586 \nL 280.599711 110.354021 \nL 277.13786 111.87453 \nL 273.531807 113.742264 \nL 269.844989 115.899291 \nL 266.137993 118.288667 \nL 262.466659 120.856937 \nL 258.880676 123.555753 \nL 255.422717 126.342872 \nL 252.128019 129.182455 \nL 249.024426 132.044922 \nL 246.132723 134.906439 \nL 243.467242 137.748236 \nL 241.03661 140.555794 \nL 238.844588 143.318081 \nL 236.890932 146.026827 \nL 235.172224 148.675853 \nL 233.682653 151.260537 \nL 232.414705 153.777376 \nL 231.359789 156.223592 \nL 230.508751 158.59687 \nL 229.852316 160.895124 \nL 229.381437 163.116331 \nL 229.087578 165.258361 \nL 228.962921 167.3189 \nL 229.000533 169.295316 \nL 229.194468 171.1846 \nL 229.53984 172.983259 \nL 230.032855 174.687233 \nL 230.670824 176.291797 \nL 231.452144 177.791473 \nL 232.37627 179.179906 \nL 233.443657 180.449754 \nL 234.655695 181.592566 \nL 236.014623 182.598637 \nL 237.523428 183.456866 \nL 239.185715 184.154598 \nL 241.005558 184.677496 \nL 242.987319 185.009367 \nL 245.13543 185.132061 \nL 247.454123 185.025388 \nL 249.947112 184.667063 \nL 252.617206 184.03275 \nL 255.46585 183.096234 \nL 258.492566 181.829727 \nL 261.694321 180.204373 \nL 265.064763 178.191044 \nL 268.593391 175.761474 \nL 272.264584 172.889719 \nL 276.056588 169.554163 \nL 279.940456 165.739962 \nL 283.878988 161.441981 \nL 287.825797 156.668177 \nL 291.724579 151.44325 \nL 295.508778 145.812293 \nL 299.101762 139.844031 \nL 302.417789 133.633097 \nL 305.363877 127.300707 \nL 307.842748 120.993029 \nL 309.75691 114.876652 \nL 311.01381 109.13087 \nL 311.531743 103.936944 \nL 311.24613 99.465154 \nL 310.115453 95.86095 \nL 308.126139 93.232252 \nL 305.295611 91.639813 \nL 301.672971 91.092486 \nL 297.336955 91.548179 \nL 292.391349 92.920401 \nL 286.95837 95.089254 \nL 281.170788 97.91467 \nL 275.163844 101.249953 \nL 269.067753 104.953516 \nL 263.001604 108.8977 \nL 257.068964 112.97414 \nL 251.355341 117.095919 \nL 245.92732 121.19719 \nL 240.833073 125.231042 \nL 236.103859 129.166442 \nL 231.756132 132.984915 \nL 227.793942 136.67737 \nL 224.211373 140.241312 \nL 220.994864 143.678636 \nL 218.125274 146.99389 \nL 215.579685 150.193021 \nL 213.332889 153.282531 \nL 211.358589 156.268913 \nL 209.630337 159.158338 \nL 208.12224 161.956462 \nL 206.809474 164.66837 \nL 204.677914 169.851119 \nL 203.068506 174.736767 \nL 201.84199 179.34899 \nL 200.480018 185.79523 \nL 198.832338 195.39959 \nL 197.59684 202.158048 \nL 196.519911 206.731131 \nL 195.669556 209.55392 \nL 194.674292 212.19858 \nL 193.496979 214.663714 \nL 192.095091 216.943358 \nL 190.418803 219.025221 \nL 188.408977 220.888089 \nL 187.257439 221.727438 \nL 185.995032 222.49807 \nL 184.61078 223.19288 \nL 183.092711 223.803174 \nL 181.427794 224.31836 \nL 179.601885 224.725587 \nL 177.599686 225.009312 \nL 175.404722 225.150805 \nL 172.999359 225.127563 \nL 170.364856 224.912658 \nL 167.481484 224.473999 \nL 164.328745 223.773511 \nL 160.885684 222.766274 \nL 157.131378 221.399661 \nL 153.045627 219.612525 \nL 148.609897 217.334564 \nL 143.808604 214.486025 \nL 138.630827 210.978005 \nL 133.072521 206.713649 \nL 127.139292 201.59073 \nL 120.84989 195.506135 \nL 114.240347 188.362893 \nL 107.368768 180.080431 \nL 100.320583 170.608554 \nL 93.213862 159.945278 \nL 86.204042 148.157877 \nL 79.487017 135.405309 \nL 73.299336 121.95835 \nL 67.91374 108.211982 \nL 63.628462 94.682916 \nL 60.749114 81.985154 \nL 59.563079 70.779088 \nL 60.30814 61.695682 \nL 63.139609 55.246289 \nL 68.101942 51.737462 \nL 75.111777 51.214231 \nL 83.958009 53.450877 \nL 94.320629 57.994597 \nL 105.805373 64.24999 \nL 117.986862 71.57958 \nL 154.823885 94.680164 \nL 166.20719 101.585507 \nL 176.829885 107.815624 \nL 186.606521 113.340284 \nL 195.504298 118.181985 \nL 210.719023 126.041156 \nL 222.808546 131.920621 \nL 236.224639 138.087318 \nL 245.541875 142.082916 \nL 250.20436 143.88618 \nL 254.016302 145.13952 \nL 257.223825 145.913719 \nL 260.007184 146.255331 \nL 262.491631 146.198226 \nL 264.757269 145.771936 \nL 266.847496 145.007794 \nL 268.776261 143.943584 \nL 270.53444 142.626919 \nL 272.095754 141.117134 \nL 273.422563 139.485705 \nL 274.471794 137.814731 \nL 275.201016 136.193479 \nL 275.574428 134.71308 \nL 275.568453 133.459945 \nL 275.420319 132.942593 \nL 275.176277 132.508792 \nL 274.838578 132.16501 \nL 274.41077 131.916297 \nL 273.897673 131.766182 \nL 272.640855 131.768105 \nL 271.128968 132.168394 \nL 269.436145 132.942311 \nL 267.644296 134.046869 \nL 265.837348 135.426047 \nL 264.095875 137.016034 \nL 262.492842 138.74988 \nL 261.090685 140.561031 \nL 259.939804 142.385606 \nL 259.078238 144.163578 \nL 258.532219 145.839132 \nL 258.317245 147.360513 \nL 258.43928 148.679681 \nL 258.895834 149.751982 \nL 259.676728 150.536094 \nL 260.764379 150.994384 \nL 262.133644 151.093914 \nL 263.751168 150.808083 \nL 265.574469 150.119083 \nL 267.550861 149.021122 \nL 269.616586 147.524231 \nL 271.696491 145.658316 \nL 273.704725 143.476783 \nL 275.546919 141.058859 \nL 277.124235 138.509439 \nL 278.339438 135.955559 \nL 279.104715 133.538754 \nL 279.295953 132.427189 \nL 279.350578 131.403585 \nL 279.264208 130.484175 \nL 279.034591 129.683589 \nL 278.661779 129.014456 \nL 278.1482 128.487047 \nL 277.498684 128.109052 \nL 276.720374 127.885384 \nL 275.822617 127.818153 \nL 274.816741 127.906711 \nL 273.715803 128.147794 \nL 272.534254 128.535761 \nL 269.992109 129.719751 \nL 267.320593 131.378292 \nL 264.649861 133.414812 \nL 262.100337 135.726994 \nL 259.775901 138.214772 \nL 257.760229 140.785187 \nL 256.115981 143.354559 \nL 254.886187 145.848497 \nL 254.096929 148.200635 \nL 253.760556 150.350758 \nL 253.76307 151.33245 \nL 253.878749 152.24287 \nL 254.106545 153.075397 \nL 254.445006 153.823492 \nL 254.892303 154.480671 \nL 255.446242 155.040499 \nL 256.104256 155.496594 \nL 256.863387 155.842648 \nL 257.720243 156.07246 \nL 258.670949 156.180005 \nL 259.711075 156.159506 \nL 260.835565 156.005546 \nL 262.038636 155.713212 \nL 263.313685 155.278223 \nL 264.653186 154.69717 \nL 267.490245 153.088761 \nL 270.467367 150.886609 \nL 273.481705 148.119383 \nL 276.409089 144.85497 \nL 279.105915 141.207957 \nL 280.319 139.290483 \nL 281.414896 137.34282 \nL 282.373507 135.392637 \nL 283.175445 133.469644 \nL 283.802584 131.604942 \nL 284.238664 129.830167 \nL 284.469895 128.176547 \nL 284.485534 126.673862 \nL 284.278398 125.34943 \nL 283.845318 124.227117 \nL 283.187404 123.326463 \nL 282.31021 122.662055 \nL 281.22371 122.243062 \nL 279.942086 122.073089 \nL 278.483351 122.1503 \nL 276.868827 122.467772 \nL 275.122503 123.014083 \nL 273.270282 123.774064 \nL 271.339237 124.729643 \nL 269.356831 125.860707 \nL 267.35019 127.145953 \nL 263.367293 130.09226 \nL 259.579036 133.400269 \nL 256.138696 136.91847 \nL 253.159923 140.518487 \nL 250.718346 144.09528 \nL 248.857132 147.563631 \nL 248.150594 149.234699 \nL 247.594423 150.853122 \nL 247.188226 152.411561 \nL 246.930955 153.902984 \nL 246.821086 155.320528 \nL 246.856755 156.65741 \nL 247.035893 157.906793 \nL 247.356309 159.061723 \nL 247.815758 160.115046 \nL 248.411967 161.059329 \nL 249.142656 161.886831 \nL 250.00551 162.58946 \nL 250.998138 163.158738 \nL 252.117997 163.585823 \nL 253.362294 163.861529 \nL 254.727871 163.97638 \nL 256.21106 163.920693 \nL 257.807495 163.684738 \nL 259.511933 163.2589 \nL 261.318036 162.633935 \nL 263.218122 161.801272 \nL 265.20293 160.753418 \nL 267.261354 159.484399 \nL 269.380194 157.990319 \nL 271.543892 156.269964 \nL 273.734352 154.325506 \nL 275.930735 152.163207 \nL 278.109377 149.794168 \nL 280.243789 147.235007 \nL 282.304767 144.508488 \nL 284.260678 141.643937 \nL 286.077889 138.677438 \nL 287.721418 135.651672 \nL 289.155776 132.615362 \nL 290.346017 129.622281 \nL 291.258939 126.72972 \nL 291.864449 123.996553 \nL 292.136941 121.480893 \nL 292.056687 119.237556 \nL 291.611055 117.315451 \nL 290.795514 115.755175 \nL 289.614307 114.587035 \nL 288.080657 113.829712 \nL 286.216559 113.489612 \nL 284.052076 113.561115 \nL 281.624217 114.027592 \nL 278.975485 114.863014 \nL 276.15217 116.034025 \nL 273.202542 117.502308 \nL 270.175105 119.226798 \nL 267.116952 121.165847 \nL 264.072401 123.278962 \nL 261.081892 125.528136 \nL 258.181218 127.87877 \nL 255.401083 130.300163 \nL 252.766932 132.765691 \nL 250.299031 135.252699 \nL 248.01276 137.742195 \nL 245.919034 140.218471 \nL 244.024824 142.668618 \nL 242.333714 145.082065 \nL 240.846494 147.45013 \nL 239.561718 149.765611 \nL 238.476244 152.022424 \nL 237.585703 154.215287 \nL 236.884941 156.33945 \nL 236.368375 158.390496 \nL 236.03031 160.364135 \nL 235.865193 162.256042 \nL 235.867803 164.061733 \nL 236.033416 165.776448 \nL 236.357912 167.395008 \nL 236.837843 168.911741 \nL 237.470469 170.320364 \nL 238.253777 171.613898 \nL 239.186444 172.784558 \nL 240.267793 173.823646 \nL 241.497725 174.721472 \nL 242.876609 175.467251 \nL 244.40516 176.049039 \nL 246.084281 176.453635 \nL 247.914872 176.666579 \nL 249.897596 176.672116 \nL 252.032619 176.45325 \nL 254.319286 175.991875 \nL 256.755757 175.268953 \nL 259.338593 174.264856 \nL 262.062261 172.95982 \nL 264.918613 171.334612 \nL 267.896276 169.371356 \nL 270.980035 167.054661 \nL 274.150179 164.372977 \nL 277.381835 161.320201 \nL 280.644355 157.897573 \nL 283.900847 154.115706 \nL 287.1078 149.99673 \nL 290.21504 145.576346 \nL 293.16603 140.905523 \nL 295.898592 136.051636 \nL 298.346222 131.098647 \nL 300.439989 126.146 \nL 302.11108 121.305999 \nL 303.293931 116.699526 \nL 303.929764 112.450123 \nL 303.970372 108.676835 \nL 303.38173 105.486488 \nL 302.147171 102.966069 \nL 300.269618 101.176485 \nL 297.772598 100.148309 \nL 294.699857 99.880379 \nL 291.113434 100.341284 \nL 287.090466 101.473638 \nL 282.71895 103.200333 \nL 278.092975 105.431887 \nL 273.307891 108.073778 \nL 268.455846 111.033006 \nL 263.622079 114.223199 \nL 258.882143 117.568035 \nL 254.300163 121.003104 \nL 249.928044 124.476231 \nL 245.805506 127.946898 \nL 241.960754 131.384923 \nL 238.411589 134.768826 \nL 235.166789 138.084123 \nL 232.22761 141.321747 \nL 229.589253 144.476607 \nL 227.242284 147.546438 \nL 225.17389 150.530881 \nL 223.368986 153.430782 \nL 221.811149 156.247671 \nL 220.483387 158.983427 \nL 219.368749 161.640015 \nL 218.450802 164.21935 \nL 217.713993 166.723184 \nL 217.143897 169.153054 \nL 216.727396 171.510259 \nL 216.452786 173.795841 \nL 216.309833 176.010571 \nL 216.289786 178.154934 \nL 216.385371 180.229128 \nL 216.590754 182.23304 \nL 216.901501 184.166219 \nL 217.31452 186.027844 \nL 217.828013 187.816685 \nL 218.441418 189.531024 \nL 219.155361 191.168613 \nL 219.971606 192.726587 \nL 220.893012 194.201364 \nL 221.923501 195.588532 \nL 223.068018 196.882711 \nL 224.332502 198.077404 \nL 225.723858 199.164816 \nL 227.249915 200.135652 \nL 228.919395 200.978868 \nL 230.74185 201.681424 \nL 232.727599 202.227978 \nL 234.887626 202.60056 \nL 237.233451 202.778236 \nL 239.776937 202.736721 \nL 242.53005 202.448044 \nL 245.504536 201.880176 \nL 248.711471 200.996765 \nL 252.160708 199.756961 \nL 255.860151 198.115419 \nL 259.814851 196.022598 \nL 264.025862 193.425443 \nL 268.488864 190.26866 \nL 273.192516 186.496705 \nL 278.116515 182.056779 \nL 283.229426 176.902945 \nL 288.486318 171.001639 \nL 293.826351 164.338576 \nL 299.17053 156.926929 \nL 304.419891 148.816457 \nL 309.454659 140.102587 \nL 314.134749 130.934237 \nL 318.302342 121.518379 \nL 321.786978 112.11915 \nL 324.413613 103.049261 \nL 326.013602 94.65224 \nL 326.438107 87.275482 \nL 325.572672 81.236392 \nL 323.351112 76.786528 \nL 319.76637 74.080278 \nL 314.876086 73.155152 \nL 308.801358 73.928762 \nL 301.718274 76.213447 \nL 293.84336 79.745534 \nL 285.415236 84.222143 \nL 276.675538 89.337833 \nL 267.851817 94.814249 \nL 250.718894 105.974925 \nL 235.182354 116.488265 \nL 221.82657 125.863783 \nL 210.773129 134.054294 \nL 206.063141 137.747236 \nL 201.849704 141.202855 \nL 198.08916 144.444154 \nL 194.735061 147.492128 \nL 189.058089 153.078336 \nL 184.455445 158.072938 \nL 174.052353 170.027073 \nL 170.932183 173.026333 \nL 169.335511 174.327096 \nL 167.691104 175.486665 \nL 165.983478 176.49688 \nL 164.198597 177.34817 \nL 162.323777 178.02948 \nL 160.347625 178.528221 \nL 158.260041 178.830219 \nL 156.052257 178.919709 \nL 153.716962 178.779344 \nL 151.248454 178.390266 \nL 148.642908 177.732284 \nL 145.898691 176.784172 \nL 143.016763 175.524074 \nL 140.001162 173.930123 \nL 136.859578 171.981307 \nL 133.603982 169.658554 \nL 130.251316 166.94616 \nL 126.824208 163.833519 \nL 123.351687 160.317164 \nL 119.869798 156.403083 \nL 116.422083 152.10923 \nL 113.059835 147.468014 \nL 109.841944 142.528586 \nL 106.834315 137.358543 \nL 104.108625 132.044682 \nL 101.740441 126.692387 \nL 99.806538 121.423285 \nL 98.381496 116.370877 \nL 97.533736 111.674155 \nL 97.321128 107.469509 \nL 97.786649 103.881625 \nL 98.954491 101.014288 \nL 100.82706 98.942368 \nL 103.383393 97.706195 \nL 106.57924 97.309136 \nL 110.348903 97.718892 \nL 114.60879 98.87213 \nL 119.262163 100.681811 \nL 124.204696 103.04598 \nL 129.330166 105.856597 \nL 134.535698 109.0075 \nL 139.726164 112.400615 \nL 144.817471 115.949996 \nL 149.738601 119.583902 \nL 154.432501 123.245159 \nL 158.856017 126.890259 \nL 162.979058 130.487662 \nL 166.783261 134.015775 \nL 170.260359 137.460849 \nL 173.410441 140.815068 \nL 176.240245 144.074892 \nL 178.761548 147.239698 \nL 180.989745 150.310768 \nL 182.942616 153.290486 \nL 184.639292 156.181816 \nL 186.099432 158.987938 \nL 187.342553 161.711996 \nL 188.387539 164.356972 \nL 189.252267 166.92561 \nL 189.953353 169.420386 \nL 190.505986 171.843496 \nL 191.219013 176.482226 \nL 191.482026 180.854323 \nL 191.361483 184.968702 \nL 190.901386 188.830771 \nL 190.125503 192.442127 \nL 189.039483 195.799857 \nL 187.632561 198.895224 \nL 186.801209 200.33974 \nL 185.878728 201.711737 \nL 184.859589 203.007488 \nL 183.737357 204.222372 \nL 182.504699 205.350723 \nL 181.153368 206.385649 \nL 179.674208 207.31882 \nL 178.057145 208.140225 \nL 176.2912 208.837889 \nL 174.364503 209.397546 \nL 172.264346 209.802282 \nL 169.977245 210.032111 \nL 167.489059 210.063535 \nL 164.785165 209.869056 \nL 161.850703 209.416687 \nL 158.670921 208.669446 \nL 155.231648 207.58493 \nL 151.51992 206.114972 \nL 147.52482 204.20553 \nL 143.238534 201.796873 \nL 138.657721 198.824281 \nL 133.785179 195.21944 \nL 128.631926 190.91283 \nL 123.219606 185.837364 \nL 117.583305 179.933649 \nL 111.774634 173.157128 \nL 105.86493 165.487216 \nL 99.948326 156.938379 \nL 94.144194 147.572551 \nL 88.598417 137.511631 \nL 83.482699 126.948098 \nL 78.991092 116.150849 \nL 75.332886 105.462802 \nL 72.721446 95.287066 \nL 71.358864 86.059509 \nL 71.417614 78.208482 \nL 73.020957 72.106058 \nL 76.225305 68.019142 \nL 81.007789 66.071172 \nL 87.26227 66.224465 \nL 94.80538 68.288491 \nL 103.392257 71.952833 \nL 112.739286 76.83631 \nL 122.549867 82.540257 \nL 132.53869 88.694462 \nL 152.075536 101.185218 \nL 185.136153 122.65005 \nL 197.750397 131.019813 \nL 207.906475 138.048679 \nL 215.986893 144.004739 \nL 222.426818 149.106091 \nL 229.91438 155.466755 \nL 235.841157 160.492024 \nL 239.384472 163.132925 \nL 241.113942 164.235064 \nL 242.843853 165.185748 \nL 244.592265 165.978942 \nL 246.374762 166.607487 \nL 248.20459 167.06318 \nL 250.092762 167.336861 \nL 252.048106 167.418575 \nL 254.077288 167.297692 \nL 256.184761 166.96313 \nL 258.372692 166.403618 \nL 260.640814 165.608013 \nL 262.986257 164.565764 \nL 265.403328 163.267411 \nL 267.883265 161.705255 \nL 270.413978 159.874092 \nL 272.97979 157.772119 \nL 275.561196 155.401892 \nL 278.134686 152.771399 \nL 280.672649 149.895099 \nL 283.143397 146.794951 \nL 285.511388 143.501281 \nL 287.737635 140.053378 \nL 289.78039 136.499724 \nL 291.596105 132.897656 \nL 293.140698 129.312387 \nL 294.371074 125.815351 \nL 295.246942 122.481743 \nL 295.73273 119.387457 \nL 295.799574 116.6055 \nL 295.427191 114.202178 \nL 294.605475 112.233496 \nL 293.335638 110.741919 \nL 291.630811 109.754194 \nL 289.515933 109.280181 \nL 287.026947 109.312942 \nL 284.209363 109.830157 \nL 281.116251 110.796521 \nL 277.805904 112.166829 \nL 274.339269 113.88944 \nL 270.777504 115.909664 \nL 267.179671 118.172877 \nL 263.600856 120.62692 \nL 260.090696 123.223951 \nL 256.692397 125.921555 \nL 253.442222 128.683218 \nL 250.369366 131.478369 \nL 247.496209 134.282004 \nL 244.83878 137.074104 \nL 242.407445 139.838929 \nL 240.207644 142.564312 \nL 238.240722 145.240938 \nL 236.504713 147.861707 \nL 234.9951 150.421192 \nL 233.705504 152.915199 \nL 232.628298 155.340352 \nL 231.755134 157.693832 \nL 231.077393 159.9731 \nL 230.58655 162.17573 \nL 230.274466 164.299261 \nL 230.133617 166.341053 \nL 230.157262 168.298183 \nL 230.33957 170.167361 \nL 230.675691 171.94482 \nL 231.161812 173.626236 \nL 231.795164 175.206627 \nL 232.574016 176.680242 \nL 233.497642 178.040485 \nL 234.566274 179.27976 \nL 235.781029 180.389368 \nL 237.143826 181.359371 \nL 238.657271 182.178465 \nL 240.324533 182.833815 \nL 242.149178 183.310947 \nL 244.134986 183.593617 \nL 246.285711 183.66371 \nL 248.604815 183.501188 \nL 251.095127 183.084083 \nL 253.758446 182.388607 \nL 256.595079 181.389338 \nL 259.603272 180.059616 \nL 262.778573 178.372117 \nL 266.113083 176.299718 \nL 269.594638 173.816665 \nL 273.205875 170.900162 \nL 276.923282 167.532349 \nL 280.716189 163.70275 \nL 284.545861 159.411144 \nL 288.364663 154.670775 \nL 292.115548 149.511746 \nL 295.731879 143.98424 \nL 299.137875 138.161239 \nL 302.249787 132.140179 \nL 304.977936 126.042865 \nL 307.229826 120.013191 \nL 308.91423 114.21209 \nL 309.946178 108.809603 \nL 310.252591 103.974421 \nL 309.778007 99.861632 \nL 308.48988 96.600278 \nL 306.382659 94.282268 \nL 303.480096 92.954546 \nL 299.835257 92.615917 \nL 295.52809 93.219041 \nL 290.660753 94.677293 \nL 285.351221 96.875215 \nL 279.725923 99.680756 \nL 273.912342 102.957354 \nL 268.032303 106.57429 \nL 262.196544 110.414244 \nL 256.500941 114.377825 \nL 251.024352 118.385274 \nL 245.827976 122.375993 \nL 240.955934 126.306522 \nL 236.436699 130.147802 \nL 232.285077 133.882168 \nL 228.504429 137.500514 \nL 225.088921 140.999814 \nL 222.025659 144.38112 \nL 219.296599 147.647993 \nL 216.880213 150.805391 \nL 214.752861 153.858867 \nL 212.889915 156.814062 \nL 211.26663 159.676391 \nL 209.858809 162.45088 \nL 208.643284 165.142101 \nL 207.598245 167.754137 \nL 205.940331 172.754857 \nL 204.743438 177.477778 \nL 203.892743 181.942902 \nL 203.298053 186.166928 \nL 202.739933 192.082144 \nL 202.443423 197.529867 \nL 202.287079 204.130968 \nL 202.334153 212.771294 \nL 202.605892 220.101726 \nL 203.024788 225.351377 \nL 203.544938 229.057379 \nL 204.091477 231.575038 \nL 204.823882 233.882346 \nL 205.446818 235.307576 \nL 206.205946 236.643087 \nL 207.132038 237.887067 \nL 208.262969 239.034595 \nL 209.645332 240.07619 \nL 211.336397 240.995655 \nL 213.406452 241.766841 \nL 215.941534 242.348761 \nL 219.046528 242.678355 \nL 222.848453 242.659742 \nL 225.057284 242.4772 \nL 227.499538 242.148572 \nL 230.198513 241.644574 \nL 233.179197 240.929638 \nL 236.468133 239.960735 \nL 240.093168 238.68604 \nL 244.083008 237.043493 \nL 248.466552 234.959302 \nL 253.271895 232.34652 \nL 258.524899 229.103886 \nL 264.247215 225.11522 \nL 270.453572 220.24988 \nL 277.148241 214.36489 \nL 284.320398 207.309673 \nL 291.938365 198.934487 \nL 299.942605 189.103896 \nL 308.237634 177.716561 \nL 316.683322 164.732191 \nL 325.08641 150.205428 \nL 333.193852 134.324292 \nL 340.690172 117.447502 \nL 347.201882 100.130775 \nL 352.31215 83.128428 \nL 355.588339 67.355093 \nL 356.623256 53.797249 \nL 355.086882 43.376721 \nL 350.7809 36.788732 \nL 343.683969 34.356564 \nL 333.974265 35.952215 \nL 322.019557 41.017269 \nL 308.334053 48.682618 \nL 293.511489 57.946934 \nL 278.151325 67.854741 \nL 262.79533 77.624327 \nL 247.885974 86.705255 \nL 233.749363 94.774088 \nL 220.598534 101.692692 \nL 208.549593 107.453684 \nL 197.643301 112.129933 \nL 187.866792 115.835666 \nL 179.172377 118.700295 \nL 171.492312 120.852775 \nL 164.749533 122.413573 \nL 158.86494 123.491326 \nL 153.761965 124.182248 \nL 149.369169 124.57083 \nL 145.621413 124.73107 \nL 139.832875 124.617596 \nL 134.709727 124.108233 \nL 133.213909 123.973721 \nL 132.941395 124.044369 \nL 132.944631 124.228509 \nL 133.659333 124.973024 \nL 138.243679 129.033528 \nL 140.634588 131.39146 \nL 143.061551 134.03318 \nL 145.372399 136.858579 \nL 147.445203 139.77234 \nL 149.187883 142.687929 \nL 150.535474 145.528632 \nL 151.445986 148.226483 \nL 151.895705 150.720294 \nL 151.944237 151.87283 \nL 151.874705 152.953275 \nL 151.68741 153.954859 \nL 151.383108 154.870851 \nL 150.962945 155.694482 \nL 150.428437 156.418951 \nL 149.781453 157.037396 \nL 149.024214 157.542888 \nL 148.159327 157.928454 \nL 147.189831 158.187122 \nL 146.119256 158.31197 \nL 144.951714 158.296204 \nL 143.691993 158.133307 \nL 142.345672 157.817141 \nL 140.919238 157.342171 \nL 139.420228 156.703689 \nL 137.857375 155.898044 \nL 136.240732 154.922974 \nL 134.581793 153.77794 \nL 132.893627 152.464496 \nL 131.190955 150.986677 \nL 129.4902 149.351377 \nL 127.809483 147.56874 \nL 126.16856 145.652488 \nL 124.588697 143.620173 \nL 123.092428 141.493327 \nL 121.703233 139.297464 \nL 120.445111 137.061894 \nL 119.342047 134.819317 \nL 118.417381 132.605237 \nL 117.69309 130.457063 \nL 117.189056 128.413075 \nL 116.922237 126.511161 \nL 116.905939 124.787475 \nL 117.149107 123.275057 \nL 117.655776 122.002552 \nL 118.424645 120.993046 \nL 119.448914 120.263228 \nL 120.716307 119.822856 \nL 122.20934 119.674604 \nL 123.905866 119.814286 \nL 125.779746 120.231442 \nL 127.801745 120.910213 \nL 129.940475 121.830392 \nL 132.163404 122.968582 \nL 134.437843 124.29938 \nL 136.731852 125.796468 \nL 139.015035 127.433561 \nL 143.438684 131.027315 \nL 147.5167 134.895912 \nL 151.106122 138.88564 \nL 152.686322 140.886707 \nL 154.112378 142.874641 \nL 155.378934 144.838436 \nL 156.482642 146.768351 \nL 157.421856 148.655696 \nL 158.196296 150.492618 \nL 158.806763 152.271888 \nL 159.254861 153.986723 \nL 159.542758 155.630618 \nL 159.672976 157.197218 \nL 159.648218 158.680147 \nL 159.471234 160.072929 \nL 159.144713 161.368872 \nL 158.671214 162.56098 \nL 158.053119 163.641852 \nL 157.292641 164.603643 \nL 156.391818 165.437989 \nL 155.352587 166.135952 \nL 154.176845 166.688022 \nL 152.866552 167.08409 \nL 151.423872 167.313483 \nL 149.851329 167.365008 \nL 148.151996 167.227061 \nL 146.32972 166.887782 \nL 144.389375 166.335259 \nL 142.337127 165.55783 \nL 140.180751 164.544479 \nL 137.929957 163.285304 \nL 135.596732 161.7721 \nL 133.195671 159.999102 \nL 130.744331 157.963761 \nL 128.263519 155.667711 \nL 125.777539 153.11771 \nL 123.314352 150.326687 \nL 120.905589 147.314696 \nL 118.586441 144.109789 \nL 116.395293 140.748606 \nL 114.373153 137.27665 \nL 112.562784 133.748041 \nL 111.007565 130.224705 \nL 109.750058 126.77487 \nL 108.830352 123.470861 \nL 108.28423 120.386256 \nL 108.141272 117.592524 \nL 108.423056 115.155434 \nL 109.141564 113.131484 \nL 110.297987 111.564833 \nL 111.882063 110.484875 \nL 113.872051 109.904924 \nL 116.235333 109.822057 \nL 118.929693 110.218193 \nL 121.905134 111.062109 \nL 125.106067 112.312296 \nL 128.473714 113.920218 \nL 131.948523 115.833547 \nL 135.472419 117.999221 \nL 138.990725 120.365954 \nL 142.453664 122.886108 \nL 145.81746 125.516985 \nL 149.044925 128.221433 \nL 152.105688 130.967989 \nL 154.976043 133.730644 \nL 157.638562 136.488351 \nL 160.081494 139.22438 \nL 162.298052 141.925624 \nL 164.285648 144.581939 \nL 166.045131 147.185498 \nL 167.580027 149.73027 \nL 168.89587 152.211502 \nL 169.999578 154.625394 \nL 170.898915 156.968731 \nL 171.602041 159.238676 \nL 172.117132 161.432531 \nL 172.452076 163.547603 \nL 172.614231 165.581046 \nL 172.610243 167.529768 \nL 172.445915 169.390316 \nL 172.126118 171.158778 \nL 171.654736 172.830692 \nL 171.034648 174.400957 \nL 170.26773 175.86372 \nL 169.354886 177.212274 \nL 168.296088 178.438937 \nL 167.090456 179.53495 \nL 165.736333 180.490324 \nL 164.231404 181.293721 \nL 162.572828 181.932332 \nL 160.757398 182.391742 \nL 158.781731 182.655827 \nL 156.642513 182.70666 \nL 154.336764 182.524477 \nL 151.862183 182.087702 \nL 149.217547 181.373068 \nL 146.403177 180.355838 \nL 143.421493 179.010215 \nL 140.277655 177.309967 \nL 136.980285 175.229271 \nL 133.54227 172.743945 \nL 129.981675 169.832996 \nL 126.32264 166.480606 \nL 122.596318 162.678505 \nL 118.84176 158.428785 \nL 115.106633 153.746939 \nL 111.447658 148.665078 \nL 107.930663 143.234923 \nL 104.630082 137.530199 \nL 101.627702 131.647982 \nL 99.010545 125.708362 \nL 96.867795 119.8519 \nL 95.286807 114.234529 \nL 94.348234 109.019737 \nL 94.120698 104.368472 \nL 94.655351 100.427587 \nL 95.98099 97.318074 \nL 98.100318 95.124971 \nL 100.987975 93.890302 \nL 104.590703 93.610409 \nL 108.829849 94.238177 \nL 113.605913 95.68973 \nL 118.804677 97.854293 \nL 124.304195 100.605728 \nL 129.981779 103.813797 \nL 135.720319 107.35383 \nL 141.413367 111.113771 \nL 146.968711 114.998398 \nL 152.310388 118.930978 \nL 157.379289 122.852817 \nL 162.132631 126.721474 \nL 166.542607 130.508186 \nL 170.594518 134.195087 \nL 174.28467 137.772554 \nL 177.618241 141.236881 \nL 180.607251 144.588365 \nL 183.26872 147.829826 \nL 185.623083 150.96552 \nL 187.692856 154.000386 \nL 189.501556 156.939524 \nL 191.072844 159.787892 \nL 192.429881 162.550128 \nL 193.594854 165.230479 \nL 194.58864 167.832766 \nL 196.138466 172.816507 \nL 197.214432 177.524697 \nL 197.92523 181.976304 \nL 198.355041 186.187204 \nL 198.56663 190.171075 \nL 198.568675 195.747324 \nL 198.268688 200.875382 \nL 197.702678 205.585354 \nL 197.175827 208.505228 \nL 196.517705 211.255424 \nL 195.710794 213.839318 \nL 194.730776 216.257721 \nL 193.545985 218.507997 \nL 192.116499 220.582699 \nL 190.392865 222.467634 \nL 188.314488 224.13898 \nL 187.119821 224.883499 \nL 185.807712 225.559147 \nL 184.366562 226.158091 \nL 182.783686 226.670744 \nL 181.045246 227.085428 \nL 179.136204 227.387971 \nL 177.040277 227.561218 \nL 174.739931 227.58448 \nL 172.216399 227.432882 \nL 169.449764 227.076638 \nL 166.419105 226.48021 \nL 163.102753 225.601431 \nL 159.478683 224.390546 \nL 155.525084 222.789289 \nL 151.221164 220.73004 \nL 146.548286 218.135231 \nL 141.49147 214.917186 \nL 136.041379 210.978719 \nL 130.196905 206.214873 \nL 123.968415 200.516356 \nL 117.381715 193.775309 \nL 110.48282 185.894136 \nL 103.343281 176.798126 \nL 96.065968 166.452263 \nL 88.790624 154.882156 \nL 81.698418 142.197869 \nL 75.014196 128.617816 \nL 69.004772 114.487847 \nL 63.971381 100.288495 \nL 60.234699 86.6222 \nL 58.111446 74.173399 \nL 57.88348 63.639243 \nL 59.762462 55.637025 \nL 63.855806 50.605501 \nL 70.141372 48.724727 \nL 78.458194 49.879844 \nL 88.517393 53.682919 \nL 99.932576 59.548294 \nL 112.263591 66.799016 \nL 137.922841 82.906025 \nL 150.493618 90.769869 \nL 162.50912 98.083754 \nL 173.782904 104.694063 \nL 184.201764 110.545014 \nL 193.713204 115.647442 \nL 202.311389 120.052053 \nL 210.023892 123.829272 \nL 223.00376 129.805916 \nL 233.170077 134.141477 \nL 241.07991 137.278624 \nL 247.240249 139.53171 \nL 252.075326 141.114212 \nL 255.922393 142.16927 \nL 259.039629 142.794149 \nL 261.618088 143.057798 \nL 263.793945 143.012896 \nL 265.659617 142.704002 \nL 267.273357 142.172978 \nL 268.66738 141.462488 \nL 269.854793 140.617931 \nL 270.83561 139.688182 \nL 271.601991 138.725143 \nL 272.142937 137.782313 \nL 272.44838 136.912582 \nL 272.512654 136.165453 \nL 272.337196 135.584126 \nL 271.932336 135.202807 \nL 271.318096 135.044574 \nL 270.523918 135.120204 \nL 269.587492 135.428021 \nL 268.552768 135.95467 \nL 266.921286 137.101473 \nL 265.339957 138.575926 \nL 263.960196 140.24455 \nL 262.907607 141.965477 \nL 262.434525 143.072615 \nL 262.166695 144.101577 \nL 262.115121 145.015569 \nL 262.283799 145.780729 \nL 262.669948 146.366558 \nL 263.26421 146.746536 \nL 264.050779 146.898813 \nL 265.00742 146.807238 \nL 266.105463 146.462568 \nL 267.309796 145.863844 \nL 268.579048 145.01997 \nL 269.866063 143.951104 \nL 271.118816 142.689715 \nL 272.281956 141.280997 \nL 273.299043 139.782278 \nL 274.115524 138.261093 \nL 274.682232 136.791845 \nL 274.95924 135.451169 \nL 274.919602 134.312304 \nL 274.552433 133.439181 \nL 274.247523 133.118393 \nL 273.864862 132.881173 \nL 272.882475 132.669143 \nL 271.64796 132.813559 \nL 270.218208 133.304755 \nL 268.660146 134.115167 \nL 267.045939 135.202969 \nL 265.448149 136.51631 \nL 263.935493 137.997513 \nL 262.569501 139.586653 \nL 261.402344 141.224251 \nL 260.475712 142.853057 \nL 259.820615 144.418956 \nL 259.457826 145.871397 \nL 259.39865 147.163359 \nL 259.645779 148.251306 \nL 260.194031 149.095179 \nL 261.03078 149.658673 \nL 262.136054 149.909975 \nL 263.482275 149.822955 \nL 265.033729 149.379011 \nL 266.745872 148.569513 \nL 268.564719 147.398725 \nL 270.426611 145.886991 \nL 272.258631 144.073696 \nL 273.980134 142.019446 \nL 275.505622 139.806613 \nL 276.749223 137.537428 \nL 277.630594 135.329021 \nL 278.081979 133.305396 \nL 278.130488 132.400923 \nL 278.055447 131.586828 \nL 277.855013 130.875654 \nL 277.529266 130.278314 \nL 277.080287 129.803789 \nL 276.512172 129.458939 \nL 275.830962 129.248353 \nL 275.044552 129.174304 \nL 274.162523 129.236757 \nL 273.195945 129.433501 \nL 271.059259 130.211007 \nL 268.74251 131.45264 \nL 266.359553 133.083975 \nL 264.021345 135.019265 \nL 261.828745 137.169225 \nL 259.867699 139.44681 \nL 258.206864 141.770681 \nL 256.897331 144.066612 \nL 255.973904 146.267465 \nL 255.457249 148.312264 \nL 255.356317 150.144837 \nL 255.461903 150.96499 \nL 255.670579 151.712564 \nL 255.981072 152.381356 \nL 256.391686 152.965297 \nL 256.900304 153.458425 \nL 257.504399 153.854911 \nL 258.201007 154.149082 \nL 258.986695 154.335478 \nL 259.857525 154.408895 \nL 260.808997 154.364462 \nL 261.835987 154.197762 \nL 264.092498 153.482829 \nL 266.570866 152.242802 \nL 269.200241 150.473563 \nL 271.893194 148.194953 \nL 274.544909 145.457856 \nL 277.034377 142.350316 \nL 279.228369 139.000806 \nL 280.988939 135.576427 \nL 281.664943 133.896934 \nL 282.184461 132.274101 \nL 282.534318 130.734503 \nL 282.703534 129.304167 \nL 282.683792 128.007762 \nL 282.469807 126.867803 \nL 282.059652 125.903918 \nL 281.454964 125.132197 \nL 280.661045 124.564678 \nL 279.686788 124.209061 \nL 278.544545 124.068568 \nL 277.249769 124.142028 \nL 275.820632 124.424151 \nL 274.277498 124.905965 \nL 272.642343 125.575371 \nL 270.938153 126.417767 \nL 267.416056 128.554576 \nL 263.893182 131.174157 \nL 260.533903 134.132522 \nL 257.474917 137.296072 \nL 254.82085 140.547779 \nL 252.644686 143.788462 \nL 250.991526 146.934906 \nL 249.884141 149.916341 \nL 249.53759 151.325495 \nL 249.328899 152.670511 \nL 249.257183 153.944315 \nL 249.321143 155.139952 \nL 249.519171 156.250457 \nL 249.849416 157.268832 \nL 250.309835 158.187951 \nL 250.898232 159.000525 \nL 251.612242 159.699069 \nL 252.449327 160.275893 \nL 253.406715 160.723101 \nL 254.481349 161.032618 \nL 255.66978 161.196242 \nL 256.968065 161.205718 \nL 258.371633 161.052861 \nL 259.875137 160.729714 \nL 261.472279 160.228768 \nL 263.155632 159.543178 \nL 264.916444 158.667099 \nL 266.744436 157.596062 \nL 268.627623 156.327385 \nL 270.552115 154.86064 \nL 272.501977 153.198202 \nL 274.459087 151.345763 \nL 276.403098 149.312909 \nL 278.311433 147.11362 \nL 280.159388 144.766711 \nL 281.920366 142.296151 \nL 283.566214 139.731214 \nL 285.067696 137.106369 \nL 286.395172 134.460889 \nL 287.519362 131.838138 \nL 288.412269 129.284531 \nL 289.048183 126.848125 \nL 289.404771 124.57694 \nL 289.464121 122.51711 \nL 289.213719 120.710932 \nL 288.647284 119.195003 \nL 287.765374 117.998615 \nL 286.575687 117.142471 \nL 285.093058 116.637953 \nL 283.339077 116.486966 \nL 281.341411 116.6823 \nL 279.132816 117.208539 \nL 276.749949 118.043355 \nL 274.232017 119.159141 \nL 271.619422 120.524664 \nL 268.9524 122.106739 \nL 266.269873 123.871722 \nL 263.608376 125.786803 \nL 261.001301 127.820922 \nL 258.478315 129.945487 \nL 256.065047 132.134736 \nL 253.78296 134.365897 \nL 251.649418 136.619146 \nL 249.677901 138.877428 \nL 247.878318 141.126175 \nL 246.257402 143.35302 \nL 244.819143 145.54743 \nL 243.565227 147.700381 \nL 242.495485 149.804054 \nL 241.608298 151.851554 \nL 240.900983 153.836651 \nL 240.370128 155.753578 \nL 240.011904 157.596806 \nL 239.822288 159.360918 \nL 239.797285 161.040428 \nL 239.933094 162.62968 \nL 240.226215 164.122717 \nL 240.673542 165.513183 \nL 241.272406 166.794208 \nL 242.020604 167.95834 \nL 242.916365 168.997453 \nL 243.958332 169.90267 \nL 245.145471 170.664283 \nL 246.476982 171.271714 \nL 247.952166 171.713479 \nL 249.570268 171.977162 \nL 251.330283 172.049468 \nL 253.230732 171.916255 \nL 255.269395 171.562689 \nL 257.443005 170.973442 \nL 259.746911 170.132969 \nL 262.174681 169.02595 \nL 264.71769 167.637808 \nL 267.364644 165.955418 \nL 270.10113 163.967989 \nL 272.909095 161.668076 \nL 275.766399 159.052853 \nL 278.646384 156.125446 \nL 281.517542 152.896426 \nL 284.343316 149.385317 \nL 287.082128 145.622001 \nL 289.687637 141.647876 \nL 292.10935 137.516578 \nL 294.293612 133.294066 \nL 296.185049 129.057821 \nL 297.728391 124.895053 \nL 298.87076 120.89978 \nL 299.564202 117.16884 \nL 299.768421 113.797019 \nL 299.453448 110.871698 \nL 298.602008 108.467436 \nL 297.211354 106.641281 \nL 295.294289 105.429153 \nL 292.87927 104.843972 \nL 290.009452 104.875742 \nL 286.740793 105.493427 \nL 283.139354 106.648492 \nL 279.277996 108.279588 \nL 275.232894 110.317517 \nL 271.080119 112.690265 \nL 266.89251 115.327235 \nL 262.737188 118.162632 \nL 258.673648 121.137667 \nL 254.752618 124.201833 \nL 251.015536 127.313191 \nL 247.494591 130.438042 \nL 244.213215 133.550153 \nL 241.18688 136.62969 \nL 238.424088 139.662129 \nL 235.927471 142.637173 \nL 233.694871 145.547764 \nL 231.720401 148.389253 \nL 229.995413 151.1587 \nL 228.509347 153.854347 \nL 227.250479 156.475184 \nL 226.206534 159.020648 \nL 225.365196 161.49037 \nL 224.714515 163.884019 \nL 224.243213 166.201183 \nL 223.940926 168.441257 \nL 223.798368 170.603376 \nL 223.807444 172.686353 \nL 223.961321 174.688634 \nL 224.254464 176.608218 \nL 224.682641 178.442603 \nL 225.24291 180.188702 \nL 225.933596 181.842783 \nL 226.754249 183.400351 \nL 227.705593 184.856048 \nL 228.789475 186.203542 \nL 230.008797 187.435374 \nL 231.367447 188.542795 \nL 232.870218 189.515609 \nL 234.5227 190.341974 \nL 236.331184 191.008198 \nL 238.302512 191.498527 \nL 240.443903 191.794933 \nL 242.762748 191.87689 \nL 245.26634 191.7212 \nL 247.961548 191.301852 \nL 250.854399 190.589944 \nL 253.94958 189.55374 \nL 257.24982 188.158886 \nL 260.755138 186.368884 \nL 264.461948 184.145831 \nL 268.362019 181.451663 \nL 272.441257 178.249824 \nL 276.678381 174.507639 \nL 281.043461 170.199379 \nL 285.496415 165.310074 \nL 289.985571 159.840109 \nL 294.446448 153.81035 \nL 298.800954 147.267571 \nL 302.957232 140.289538 \nL 306.810504 132.989008 \nL 310.245179 125.515626 \nL 313.13853 118.054489 \nL 315.365999 110.82048 \nL 316.808205 104.047616 \nL 317.359215 97.973544 \nL 316.935421 92.820411 \nL 315.484076 88.774322 \nL 312.990233 85.966542 \nL 309.480946 84.460029 \nL 305.025764 84.243795 \nL 299.733196 85.236647 \nL 293.743409 87.299442 \nL 287.218103 90.253406 \nL 280.329011 93.900966 \nL 273.246557 98.045286 \nL 266.129988 102.505899 \nL 259.119924 107.128897 \nL 252.333682 111.791628 \nL 245.863257 116.402869 \nL 239.775552 120.899789 \nL 234.11423 125.243219 \nL 228.902597 129.412395 \nL 224.14697 133.39991 \nL 219.840112 137.207369 \nL 215.964491 140.841967 \nL 212.495155 144.313923 \nL 209.402195 147.634672 \nL 206.652743 150.81567 \nL 204.21257 153.867685 \nL 202.047293 156.800433 \nL 200.123268 159.622397 \nL 196.87162 164.961763 \nL 194.221897 169.93027 \nL 190.94116 176.748122 \nL 188.012686 182.844077 \nL 186.041192 186.509291 \nL 183.929756 189.843267 \nL 182.791665 191.379366 \nL 181.583505 192.823002 \nL 180.294146 194.169061 \nL 178.912498 195.411288 \nL 177.42741 196.542121 \nL 175.827577 197.552502 \nL 174.101487 198.431657 \nL 172.237381 199.16685 \nL 170.22325 199.743105 \nL 168.046863 200.142916 \nL 165.695862 200.345914 \nL 163.157889 200.328564 \nL 160.420788 200.063817 \nL 157.472912 199.520834 \nL 154.30352 198.664767 \nL 150.903299 197.456625 \nL 147.265065 195.853365 \nL 143.384606 193.808245 \nL 139.261779 191.271561 \nL 134.901786 188.191929 \nL 130.316752 184.518281 \nL 125.527507 180.20275 \nL 120.565596 175.20461 \nL 115.475432 169.495451 \nL 110.31647 163.0656 \nL 105.165194 155.931608 \nL 100.116616 148.144462 \nL 95.284926 139.797684 \nL 90.80279 131.034049 \nL 86.818793 122.049292 \nL 83.492555 113.090793 \nL 80.987233 104.449408 \nL 79.459419 96.443123 \nL 79.046917 89.392724 \nL 79.855579 83.591572 \nL 81.946799 79.273623 \nL 85.327766 76.585487 \nL 89.946344 75.56859 \nL 95.69206 76.155736 \nL 102.403487 78.183258 \nL 109.881079 81.416055 \nL 117.90355 85.579891 \nL 126.245163 90.394138 \nL 134.691407 95.599018 \nL 143.051295 100.973957 \nL 158.908924 111.591971 \nL 172.959393 121.415509 \nL 184.847441 130.171001 \nL 189.974057 134.151893 \nL 194.584426 137.889455 \nL 198.712606 141.403863 \nL 202.398546 144.71546 \nL 205.68544 147.843284 \nL 208.617699 150.804246 \nL 213.593492 156.280876 \nL 217.658908 161.231652 \nL 227.127052 173.307909 \nL 230.079895 176.412116 \nL 231.610558 177.776392 \nL 233.199142 179.00684 \nL 234.860372 180.095316 \nL 236.60787 181.032209 \nL 238.454245 181.806348 \nL 240.411148 182.404884 \nL 242.489287 182.813197 \nL 244.698362 183.014785 \nL 247.046986 182.991227 \nL 249.542485 182.722152 \nL 252.190675 182.185301 \nL 254.995512 181.356688 \nL 257.958687 180.21091 \nL 261.079093 178.721624 \nL 264.352223 176.86228 \nL 267.76943 174.607108 \nL 271.317141 171.932507 \nL 274.975946 168.818808 \nL 278.719692 165.252422 \nL 282.514562 161.228524 \nL 286.318243 156.753983 \nL 290.079309 151.850639 \nL 293.736885 146.558551 \nL 297.220825 140.938899 \nL 300.452518 135.076139 \nL 303.346491 129.078756 \nL 305.812959 123.078117 \nL 307.761391 117.224842 \nL 309.104965 111.682392 \nL 309.765848 106.618073 \nL 309.680751 102.191793 \nL 308.806408 98.543891 \nL 307.124166 95.783534 \nL 304.643162 93.97939 \nL 301.401465 93.154152 \nL 297.464874 93.283999 \nL 292.923432 94.302947 \nL 287.885932 96.111363 \nL 282.473154 98.587213 \nL 276.810573 101.598067 \nL 271.021406 105.012116 \nL 265.22062 108.706998 \nL 259.510396 112.575765 \nL 253.977204 116.52993 \nL 248.690423 120.500073 \nL 243.702313 124.434609 \nL 239.048999 128.297473 \nL 234.752136 132.065284 \nL 230.820984 135.724508 \nL 227.254602 139.268847 \nL 224.044009 142.697021 \nL 221.174172 146.011027 \nL 218.625773 149.21484 \nL 216.376704 152.313442 \nL 214.403305 155.31218 \nL 212.68135 158.216371 \nL 211.186808 161.031055 \nL 209.89642 163.760872 \nL 208.788094 166.410026 \nL 207.036644 171.480967 \nL 205.786948 176.269426 \nL 204.920248 180.796005 \nL 204.343066 185.077793 \nL 203.984157 189.129462 \nL 203.744268 194.803579 \nL 203.764048 200.027834 \nL 203.981947 204.8366 \nL 204.37559 209.260283 \nL 204.951832 213.325205 \nL 205.741869 217.052834 \nL 206.413352 219.358288 \nL 207.226183 221.522983 \nL 208.20874 223.546732 \nL 209.396259 225.425923 \nL 210.832139 227.152131 \nL 212.569549 228.710019 \nL 214.673373 230.074293 \nL 215.886715 230.672128 \nL 217.22245 231.205199 \nL 218.693022 231.665205 \nL 220.312068 232.041967 \nL 222.094483 232.323052 \nL 224.056494 232.493313 \nL 226.215708 232.534354 \nL 228.591136 232.423895 \nL 231.203167 232.135048 \nL 234.073499 231.635462 \nL 237.224991 230.886393 \nL 240.681373 229.841651 \nL 244.466835 228.446504 \nL 248.605389 226.63659 \nL 253.119966 224.336906 \nL 258.031151 221.461093 \nL 263.355471 217.911238 \nL 269.103111 213.578532 \nL 275.274954 208.345342 \nL 281.858825 202.089301 \nL 288.824868 194.690224 \nL 296.120034 186.040781 \nL 303.661819 176.061763 \nL 311.331619 164.722398 \nL 318.968364 152.065558 \nL 326.363526 138.236057 \nL 333.259133 123.508244 \nL 339.350826 108.306299 \nL 344.298261 93.208224 \nL 347.744673 78.923304 \nL 349.346417 66.235283 \nL 348.81072 55.910868 \nL 345.937089 48.584917 \nL 340.65451 44.647381 \nL 333.045266 44.164242 \nL 323.34724 46.860769 \nL 311.93179 52.176321 \nL 299.260596 59.375194 \nL 285.831322 67.678684 \nL 258.560424 84.920661 \nL 245.476575 92.911515 \nL 233.117092 100.12705 \nL 221.639038 106.470556 \nL 211.125143 111.936479 \nL 201.599969 116.575678 \nL 193.045931 120.468594 \nL 185.417233 123.706748 \nL 178.651029 126.381332 \nL 172.67578 128.576989 \nL 167.417176 130.36906 \nL 158.761138 132.99411 \nL 152.149984 134.670339 \nL 147.139215 135.693183 \nL 143.375787 136.273911 \nL 139.490397 136.64114 \nL 135.419526 136.926758 \nL 135.650869 137.299473 \nL 137.601367 139.613775 \nL 138.406319 140.962576 \nL 138.788891 141.947473 \nL 138.920142 142.819399 \nL 138.77257 143.503528 \nL 138.517281 143.823231 \nL 138.14221 144.015642 \nL 137.657592 144.069312 \nL 136.758561 143.875405 \nL 135.714054 143.351952 \nL 134.609102 142.525698 \nL 133.541877 141.455131 \nL 132.616441 140.229759 \nL 131.932721 138.964662 \nL 131.574593 137.789627 \nL 131.545625 137.120502 \nL 131.69404 136.583309 \nL 132.018454 136.206297 \nL 132.508611 136.009878 \nL 133.145673 136.005349 \nL 133.903205 136.194411 \nL 135.19296 136.82182 \nL 136.554083 137.805195 \nL 137.855561 139.052246 \nL 138.9753 140.451154 \nL 139.811394 141.882097 \nL 140.28907 143.226293 \nL 140.385177 144.018847 \nL 140.296089 144.693055 \nL 140.022347 145.221815 \nL 139.570429 145.58161 \nL 138.952627 145.75318 \nL 138.186943 145.722316 \nL 137.29702 145.480815 \nL 136.311952 145.027532 \nL 135.266009 144.369405 \nL 133.669196 143.03589 \nL 132.17001 141.375332 \nL 130.922617 139.531839 \nL 130.304016 138.290693 \nL 129.900081 137.109539 \nL 129.739625 136.048842 \nL 129.840391 135.165056 \nL 130.207042 134.506433 \nL 130.830064 134.109323 \nL 131.685769 133.9956 \nL 132.737569 134.17146 \nL 133.938304 134.627734 \nL 135.23345 135.34154 \nL 136.56465 136.278816 \nL 137.87334 137.39737 \nL 139.103901 138.649889 \nL 140.206202 139.986617 \nL 141.137392 141.357447 \nL 141.862886 142.713478 \nL 142.356749 144.007935 \nL 142.601591 145.196778 \nL 142.588192 146.239028 \nL 142.315042 147.096983 \nL 141.787927 147.736577 \nL 141.019673 148.127928 \nL 140.0301 148.246153 \nL 138.846145 148.072592 \nL 137.502112 147.596434 \nL 136.039912 146.816655 \nL 134.509129 145.744165 \nL 132.966661 144.403908 \nL 131.475745 142.83654 \nL 130.104114 141.099147 \nL 128.921122 139.264609 \nL 127.993835 137.419023 \nL 127.38226 135.65703 \nL 127.134116 134.075229 \nL 127.279829 132.764298 \nL 127.504129 132.235128 \nL 127.828469 131.800934 \nL 128.250265 131.467961 \nL 128.765435 131.240849 \nL 129.36845 131.122521 \nL 130.809323 131.215395 \nL 132.504368 131.736532 \nL 134.371347 132.652336 \nL 136.320838 133.91081 \nL 138.262768 135.447623 \nL 140.112212 137.191979 \nL 141.793755 139.071506 \nL 143.244247 141.015682 \nL 144.413974 142.957893 \nL 145.266554 144.836257 \nL 145.777977 146.593653 \nL 145.93519 148.177257 \nL 145.734659 149.537961 \nL 145.181157 150.62989 \nL 144.775604 151.061563 \nL 144.286991 151.410259 \nL 143.718006 151.671173 \nL 143.071803 151.839796 \nL 141.562897 151.883827 \nL 139.796117 151.514155 \nL 137.817077 150.711894 \nL 135.682465 149.471167 \nL 133.461224 147.803542 \nL 131.234984 145.742738 \nL 129.097358 143.348825 \nL 127.151451 140.710873 \nL 125.505211 137.946688 \nL 124.264402 135.198449 \nL 123.523539 132.623488 \nL 123.364527 131.451017 \nL 123.355663 130.380664 \nL 123.501117 129.429835 \nL 123.802591 128.613954 \nL 124.259204 127.946026 \nL 124.867386 127.436296 \nL 125.620912 127.091967 \nL 126.510998 126.917098 \nL 127.526485 126.912578 \nL 128.654118 127.076236 \nL 129.878851 127.403091 \nL 131.184246 127.88564 \nL 133.966723 129.277593 \nL 136.857719 131.157076 \nL 139.71673 133.414966 \nL 142.416777 135.939477 \nL 144.851082 138.624247 \nL 146.936134 141.37276 \nL 148.6116 144.099774 \nL 149.838033 146.730498 \nL 150.593365 149.198699 \nL 150.869081 151.444318 \nL 150.827262 152.465983 \nL 150.666755 153.411104 \nL 150.388895 154.272922 \nL 149.995368 155.04472 \nL 149.488191 155.719783 \nL 148.869704 156.291386 \nL 148.142581 156.752795 \nL 147.309871 157.097304 \nL 146.375038 157.318263 \nL 145.342028 157.409137 \nL 144.215349 157.36361 \nL 143.000179 157.175702 \nL 141.702453 156.839901 \nL 140.328993 156.351353 \nL 138.887627 155.706103 \nL 137.387322 154.901313 \nL 135.838293 153.935557 \nL 134.252114 152.80915 \nL 132.641817 151.524468 \nL 131.021946 150.086314 \nL 129.408606 148.50224 \nL 127.819406 146.782877 \nL 126.273405 144.942221 \nL 124.790939 142.997806 \nL 123.393398 140.970788 \nL 122.102895 138.885913 \nL 120.941836 136.771269 \nL 119.932421 134.65788 \nL 119.096065 132.579098 \nL 118.452717 130.569768 \nL 118.020192 128.665248 \nL 117.813448 126.900273 \nL 117.843926 125.307723 \nL 118.118965 123.917437 \nL 118.641289 122.755056 \nL 119.408728 121.841064 \nL 120.414063 121.190072 \nL 121.645097 120.810385 \nL 123.084949 120.703917 \nL 124.712536 120.866421 \nL 126.50323 121.288029 \nL 128.429647 121.954018 \nL 130.462524 122.845768 \nL 132.571612 123.941789 \nL 134.726543 125.218738 \nL 136.897669 126.652406 \nL 141.177475 129.893543 \nL 145.211302 133.482119 \nL 148.841566 137.258526 \nL 151.955929 141.091594 \nL 153.296156 142.99584 \nL 154.483843 144.876939 \nL 155.515476 146.725183 \nL 156.389134 148.531831 \nL 157.104187 150.288893 \nL 157.661047 151.988979 \nL 158.060909 153.625108 \nL 158.305532 155.190562 \nL 158.397056 156.678746 \nL 158.337843 158.083089 \nL 158.130356 159.396909 \nL 157.777055 160.613317 \nL 157.280349 161.725164 \nL 156.64255 162.724929 \nL 155.865881 163.604699 \nL 154.952496 164.356092 \nL 153.904535 164.97024 \nL 152.724197 165.437776 \nL 151.413857 165.748848 \nL 149.976189 165.893178 \nL 148.414342 165.860127 \nL 146.732119 165.638817 \nL 144.934194 165.21832 \nL 143.026356 164.587921 \nL 141.015775 163.737399 \nL 138.911293 162.657476 \nL 136.723714 161.340299 \nL 134.466114 159.780014 \nL 132.154156 157.973511 \nL 129.806343 155.921158 \nL 127.444268 153.62768 \nL 125.092753 151.103031 \nL 122.779943 148.363276 \nL 120.53722 145.431367 \nL 118.39895 142.337764 \nL 116.402061 139.120784 \nL 114.585376 135.826592 \nL 112.988682 132.508681 \nL 111.651572 129.226828 \nL 110.612072 126.045445 \nL 109.905063 123.031335 \nL 109.560634 120.250975 \nL 109.602427 117.767436 \nL 110.046133 115.637274 \nL 110.898247 113.90752 \nL 112.155191 112.61326 \nL 113.803016 111.775872 \nL 115.817573 111.402328 \nL 118.165334 111.485418 \nL 120.804691 112.004974 \nL 123.687719 112.929912 \nL 126.76217 114.220857 \nL 129.973641 115.832898 \nL 133.267639 117.718474 \nL 136.591515 119.829837 \nL 139.896057 122.121102 \nL 143.136736 124.54981 \nL 146.274554 127.077868 \nL 149.276497 129.672054 \nL 152.115659 132.304076 \nL 154.771081 134.950351 \nL 157.227352 137.591567 \nL 159.474078 140.21214 \nL 161.505229 142.799626 \nL 163.318471 145.34415 \nL 164.914469 147.837858 \nL 166.296248 150.274453 \nL 167.468577 152.648799 \nL 168.437428 154.956555 \nL 169.209506 157.19392 \nL 169.791843 159.357389 \nL 170.19146 161.443562 \nL 170.415109 163.449004 \nL 170.469046 165.370101 \nL 170.358884 167.20293 \nL 170.08947 168.943185 \nL 169.664812 170.586047 \nL 169.088041 172.126098 \nL 168.361399 173.557203 \nL 167.486252 174.872432 \nL 166.463135 176.063924 \nL 165.29182 177.122802 \nL 163.971386 178.039041 \nL 162.500353 178.801364 \nL 160.876794 179.397123 \nL 159.098515 179.812219 \nL 157.163248 180.031008 \nL 155.0689 180.036281 \nL 152.813822 179.809237 \nL 150.397155 179.329602 \nL 147.819222 178.575764 \nL 145.081984 177.52509 \nL 142.189585 176.154362 \nL 139.148944 174.440477 \nL 135.970447 172.361327 \nL 132.668675 169.897022 \nL 129.263197 167.031402 \nL 125.779383 163.753916 \nL 122.249185 160.061837 \nL 118.711812 155.962762 \nL 115.214248 151.477241 \nL 111.81148 146.64147 \nL 108.566325 141.509613 \nL 105.548714 136.155489 \nL 102.834316 130.673177 \nL 100.502394 125.176065 \nL 98.632861 119.793958 \nL 97.302564 114.668006 \nL 96.580968 109.94353 \nL 96.525498 105.761032 \nL 97.177022 102.246411 \nL 98.555858 99.501316 \nL 100.658933 97.595096 \nL 103.458479 96.559588 \nL 106.902595 96.387548 \nL 110.917677 97.034985 \nL 115.412542 98.427083 \nL 120.283789 100.466602 \nL 125.421758 103.043451 \nL 130.716496 106.043949 \nL 136.06309 109.358862 \nL 141.365987 112.889256 \nL 146.542029 116.550147 \nL 151.522227 120.272004 \nL 156.252329 124.000577 \nL 160.692443 127.69557 \nL 164.815932 131.328613 \nL 168.607866 134.881019 \nL 172.063239 138.341594 \nL 175.18512 141.704665 \nL 177.982891 144.968419 \nL 180.470613 148.133618 \nL 182.665615 151.202604 \nL 184.587275 154.178587 \nL 186.256028 157.065167 \nL 187.692567 159.865991 \nL 188.917232 162.584581 \nL 189.94954 165.224208 \nL 190.807858 167.787872 \nL 191.509182 170.278256 \nL 192.501219 175.04854 \nL 193.030583 179.551176 \nL 193.177311 183.798683 \nL 192.998264 187.800518 \nL 192.529555 191.563181 \nL 191.789006 195.090038 \nL 190.778263 198.380666 \nL 189.484345 201.429815 \nL 187.880602 204.225743 \nL 186.950577 205.52275 \nL 185.927067 206.747883 \nL 184.802969 207.896643 \nL 183.570315 208.963489 \nL 182.220239 209.941652 \nL 180.742967 210.822922 \nL 179.127791 211.597391 \nL 177.363064 212.253155 \nL 175.436206 212.775985 \nL 173.333723 213.148917 \nL 171.041269 213.351834 \nL 168.543732 213.360969 \nL 165.825395 213.148366 \nL 162.870159 212.68133 \nL 159.661872 211.921844 \nL 156.184786 210.826045 \nL 152.424167 209.343778 \nL 148.367144 207.418332 \nL 144.003767 204.986506 \nL 139.328401 201.979141 \nL 134.341491 198.322382 \nL 129.051685 193.939971 \nL 123.478451 188.756867 \nL 117.65508 182.704635 \nL 111.632098 175.728901 \nL 105.480848 167.799176 \nL 99.297039 158.920964 \nL 93.203733 149.149635 \nL 87.353201 138.604901 \nL 81.926702 127.483634 \nL 77.131303 116.067845 \nL 73.192676 104.723798 \nL 70.343244 93.888303 \nL 68.805566 84.039319 \nL 68.771859 75.65115 \nL 70.381912 69.138918 \nL 73.702708 64.801965 \nL 78.713854 62.778716 \nL 85.302442 63.025472 \nL 93.269569 65.325623 \nL 102.348017 69.328031 \nL 112.228107 74.604329 \nL 122.586906 80.710581 \nL 133.115558 87.239543 \nL 211.637296 137.160048 \nL 219.95222 142.799755 \nL 226.568694 147.534698 \nL 240.30524 157.638479 \nL 243.89983 159.808707 \nL 245.642644 160.669508 \nL 247.376276 161.375725 \nL 249.117398 161.922224 \nL 250.879953 162.30303 \nL 252.67529 162.511471 \nL 254.512271 162.540353 \nL 256.397336 162.382163 \nL 258.334517 162.029324 \nL 260.325434 161.47446 \nL 262.369233 160.710736 \nL 264.462526 159.732257 \nL 266.599256 158.534544 \nL 268.770619 157.115051 \nL 270.964921 155.473762 \nL 273.16748 153.613854 \nL 275.360576 151.54237 \nL 277.523438 149.270894 \nL 279.632296 146.816227 \nL 281.660604 144.200885 \nL 283.579313 141.453499 \nL 285.357382 138.608977 \nL 286.962399 135.708316 \nL 288.361427 132.798075 \nL 289.521998 129.929397 \nL 290.413275 127.156617 \nL 291.007323 124.535455 \nL 291.280399 122.120855 \nL 291.214273 119.96464 \nL 290.797328 118.11314 \nL 290.02552 116.60497 \nL 288.902974 115.469232 \nL 287.442218 114.724196 \nL 285.66398 114.376799 \nL 283.596566 114.422719 \nL 281.274841 114.847309 \nL 278.738886 115.627037 \nL 276.032441 116.73133 \nL 273.201254 118.124693 \nL 270.291428 119.768836 \nL 267.347916 121.624591 \nL 264.41321 123.6536 \nL 261.526286 125.819564 \nL 258.721872 128.089185 \nL 256.029959 130.432659 \nL 253.475636 132.823915 \nL 251.079122 135.240532 \nL 248.855999 137.663549 \nL 246.817591 140.077098 \nL 244.971416 142.467987 \nL 243.321726 144.825294 \nL 241.870022 147.139938 \nL 240.615607 149.404295 \nL 239.556068 151.611864 \nL 238.687753 153.756937 \nL 238.006166 155.834377 \nL 237.506334 157.839384 \nL 237.183105 159.767299 \nL 237.031391 161.613458 \nL 237.046367 163.37305 \nL 237.223635 165.040982 \nL 237.559312 166.611785 \nL 238.050121 168.079488 \nL 238.693418 169.437543 \nL 239.4872 170.678707 \nL 240.430086 171.794945 \nL 241.521258 172.777355 \nL 242.760393 173.616068 \nL 244.147556 174.300163 \nL 245.68306 174.817634 \nL 247.367316 175.155298 \nL 249.200621 175.298808 \nL 251.182938 175.232663 \nL 253.313599 174.940303 \nL 255.591014 174.404255 \nL 258.012276 173.60637 \nL 260.572749 172.528215 \nL 263.265591 171.151583 \nL 266.081242 169.459179 \nL 269.006833 167.435545 \nL 272.025622 165.06818 \nL 275.116364 162.34889 \nL 278.252742 159.275393 \nL 281.402856 155.853124 \nL 284.528838 152.097114 \nL 287.586643 148.033927 \nL 290.526177 143.703382 \nL 293.291705 139.159902 \nL 295.82281 134.473151 \nL 298.055789 129.72774 \nL 299.92567 125.021661 \nL 301.368765 120.463321 \nL 302.325694 116.167033 \nL 302.74475 112.247236 \nL 302.585309 108.81174 \nL 301.821002 105.954725 \nL 300.442359 103.750206 \nL 298.458472 102.24689 \nL 295.897518 101.465128 \nL 292.805954 101.396377 \nL 289.246404 102.005294 \nL 285.294411 103.234119 \nL 281.034442 105.008596 \nL 276.555453 107.244593 \nL 271.946568 109.85463 \nL 267.293128 112.753514 \nL 262.673491 115.862617 \nL 258.156696 119.112708 \nL 253.801039 122.445394 \nL 249.653476 125.813318 \nL 245.749777 129.179524 \nL 242.115186 132.51626 \nL 238.765489 135.803547 \nL 235.708291 139.027663 \nL 232.944385 142.179703 \nL 230.469098 145.254379 \nL 228.273579 148.248964 \nL 226.345941 151.162494 \nL 224.672276 153.995131 \nL 223.237496 156.747694 \nL 222.026044 159.421364 \nL 221.022449 162.017421 \nL 220.211769 164.537113 \nL 219.57992 166.981552 \nL 219.113912 169.351634 \nL 218.802016 171.648026 \nL 218.633867 173.871121 \nL 218.600517 176.021013 \nL 218.694461 178.09747 \nL 218.90962 180.099922 \nL 219.241324 182.027385 \nL 219.686272 183.878465 \nL 220.242484 185.651276 \nL 220.909256 187.343373 \nL 221.687109 188.951679 \nL 222.577737 190.472389 \nL 223.583964 191.900854 \nL 224.709696 193.231455 \nL 225.959874 194.45746 \nL 227.340432 195.570831 \nL 228.858234 196.562056 \nL 230.521028 197.419896 \nL 232.337357 198.131167 \nL 234.316482 198.680451 \nL 236.468248 199.049808 \nL 238.802928 199.218469 \nL 241.331023 199.162526 \nL 244.062981 198.854632 \nL 247.008847 198.263739 \nL 250.177806 197.354917 \nL 253.577601 196.089299 \nL 257.213803 194.424229 \nL 261.088904 192.313708 \nL 265.20122 189.709234 \nL 269.543537 186.561218 \nL 274.101581 182.821092 \nL 278.852209 178.444346 \nL 283.761458 173.39457 \nL 288.782438 167.648694 \nL 293.853334 161.203351 \nL 298.895566 154.082211 \nL 303.812552 146.343804 \nL 308.489369 138.088985 \nL 312.793834 129.466749 \nL 316.57941 120.676804 \nL 319.690419 111.967001 \nL 321.969774 103.623949 \nL 323.269059 95.955934 \nL 323.46046 89.26862 \nL 322.449275 83.835748 \nL 320.185448 79.869296 \nL 316.672126 77.494378 \nL 311.969547 76.734593 \nL 306.193043 77.511143 \nL 299.505097 79.656412 \nL 292.102463 82.938905 \nL 284.200351 87.094128 \nL 276.016084 91.854902 \nL 267.754532 96.976129 \nL 259.596929 102.251042 \nL 244.161977 112.663042 \nL 230.515302 122.316128 \nL 224.479618 126.765138 \nL 218.982504 130.956223 \nL 214.011758 134.899723 \nL 209.542686 138.611891 \nL 205.541906 142.111473 \nL 201.970497 145.417413 \nL 198.786505 148.547476 \nL 195.946861 151.517479 \nL 191.130881 157.029202 \nL 187.199995 162.034023 \nL 178.066829 174.373938 \nL 175.222135 177.604445 \nL 173.746866 179.040848 \nL 172.214796 180.350139 \nL 170.611234 181.524772 \nL 168.922472 182.555794 \nL 167.135681 183.432693 \nL 165.238827 184.143285 \nL 163.220667 184.673591 \nL 161.070753 185.007683 \nL 158.779517 185.127592 \nL 156.338411 185.013229 \nL 153.740121 184.642351 \nL 150.978866 183.990616 \nL 148.050768 183.03178 \nL 144.95435 181.738007 \nL 141.691131 180.080423 \nL 138.266315 178.029941 \nL 134.689622 175.558398 \nL 130.976214 172.640143 \nL 127.147682 169.254027 \nL 123.233091 165.385935 \nL 119.270027 161.031815 \nL 115.305483 156.201102 \nL 111.396571 150.920387 \nL 107.610788 145.237118 \nL 104.025757 139.222765 \nL 100.728198 132.975038 \nL 97.811922 126.618338 \nL 95.374754 120.301885 \nL 93.514307 114.19483 \nL 92.322718 108.478186 \nL 91.880596 103.333734 \nL 92.250743 98.930798 \nL 93.47221 95.412349 \nL 95.555544 92.882343 \nL 98.479928 91.39656 \nL 102.192774 90.958298 \nL 106.612051 91.519998 \nL 111.631142 92.9904 \nL 117.1257 95.245965 \nL 122.961629 98.144371 \nL 129.003227 101.538066 \nL 135.1206 105.285806 \nL 141.195616 109.261161 \nL 147.126157 113.357544 \nL 152.828439 117.490106 \nL 158.237726 121.595 \nL 163.307671 125.627161 \nL 168.00872 129.557127 \nL 172.325939 133.36767 \nL 176.256584 137.050666 \nL 179.807643 140.604328 \nL 182.993538 144.03104 \nL 185.83406 147.335673 \nL 188.35261 150.52437 \nL 190.574729 153.603746 \nL 192.526927 156.580336 \nL 194.235764 159.460328 \nL 195.727176 162.249352 \nL 197.025973 164.952484 \nL 199.137516 170.118468 \nL 200.736902 174.988222 \nL 201.962658 179.58515 \nL 203.339579 186.00914 \nL 206.75063 203.86326 \nL 207.559392 206.846123 \nL 208.493809 209.645605 \nL 209.590138 212.262115 \nL 210.888743 214.6921 \nL 212.436068 216.926568 \nL 214.286647 218.948911 \nL 215.345424 219.872521 \nL 216.505198 220.731775 \nL 217.776011 221.52083 \nL 219.168819 222.232507 \nL 220.695556 222.858028 \nL 222.369199 223.386702 \nL 224.203821 223.805575 \nL 226.214625 224.098998 \nL 228.417968 224.248126 \nL 230.831332 224.230349 \nL 233.473269 224.018643 \nL 236.363273 223.580843 \nL 239.521558 222.878834 \nL 242.968725 221.867726 \nL 246.725275 220.495004 \nL 250.810899 218.699763 \nL 255.243534 216.412125 \nL 260.038051 213.553 \nL 265.204552 210.034461 \nL 270.74616 205.761034 \nL 276.656218 200.632369 \nL 282.914861 194.547795 \nL 289.484907 187.413448 \nL 296.307155 179.152494 \nL 303.295227 169.719043 \nL 310.330461 159.115726 \nL 317.257369 147.414302 \nL 323.880811 134.777353 \nL 329.966121 121.477475 \nL 335.243783 107.908505 \nL 339.420343 94.582002 \nL 342.196423 82.102149 \nL 343.29206 71.115035 \nL 342.477348 62.234242 \nL 339.604324 55.953386 \nL 334.63423 52.564305 \nL 327.653318 52.103639 \nL 318.872212 54.345567 \nL 308.606981 58.845247 \nL 297.245224 65.021104 \nL 285.204064 72.251969 \nL 248.8119 95.078009 \nL 237.564773 101.925914 \nL 227.066508 108.11992 \nL 217.401405 113.628721 \nL 208.602128 118.472568 \nL 193.547653 126.379452 \nL 181.575393 132.347757 \nL 168.269068 138.689982 \nL 158.99391 142.877589 \nL 154.324146 144.803548 \nL 150.476424 146.166739 \nL 147.203864 147.031077 \nL 144.325563 147.436476 \nL 141.716141 147.410388 \nL 139.296293 146.976297 \nL 137.024736 146.160322 \nL 134.891331 144.996438 \nL 132.910999 143.530572 \nL 131.118017 141.823428 \nL 129.560198 139.951575 \nL 128.292672 138.006416 \nL 127.371108 136.090677 \nL 126.84466 134.312347 \nL 126.749034 132.776628 \nL 126.868756 132.129626 \nL 127.100505 131.576881 \nL 127.44258 131.126811 \nL 127.89167 130.786131 \nL 128.44288 130.55972 \nL 129.089768 130.450552 \nL 129.82447 130.459686 \nL 131.519634 130.827838 \nL 133.443289 131.637396 \nL 135.499817 132.838817 \nL 137.590415 134.366597 \nL 139.619967 136.146159 \nL 141.502496 138.099836 \nL 143.164823 140.151361 \nL 144.548357 142.228553 \nL 145.60931 144.264577 \nL 146.317747 146.19809 \nL 146.655989 147.972652 \nL 146.616847 149.535979 \nL 146.202039 150.8391 \nL 145.856439 151.378575 \nL 145.421049 151.835925 \nL 144.898177 152.205837 \nL 144.290586 152.483218 \nL 143.601524 152.663214 \nL 142.834729 152.741296 \nL 141.085665 152.57557 \nL 139.084996 151.959047 \nL 136.885347 150.875894 \nL 134.551996 149.326059 \nL 132.164056 147.330555 \nL 129.814733 144.936812 \nL 127.609885 142.223085 \nL 125.66443 139.300463 \nL 124.096008 136.310808 \nL 123.015995 133.419546 \nL 122.689537 132.065865 \nL 122.518463 130.802716 \nL 122.50991 129.65088 \nL 122.668537 128.629506 \nL 122.996276 127.755512 \nL 123.492172 127.043082 \nL 124.15227 126.503257 \nL 124.969662 126.14365 \nL 125.934596 125.968303 \nL 127.034684 125.977711 \nL 128.255219 126.16896 \nL 129.579555 126.536018 \nL 130.98955 127.070092 \nL 133.989242 128.593224 \nL 137.096955 130.631145 \nL 140.160458 133.063177 \nL 143.043809 135.76789 \nL 145.634405 138.631792 \nL 147.845835 141.553678 \nL 149.617246 144.445573 \nL 150.910282 147.231341 \nL 151.704852 149.844189 \nL 151.912822 151.066733 \nL 151.994667 152.223764 \nL 151.951108 153.308293 \nL 151.783281 154.313415 \nL 151.492681 155.232269 \nL 151.081101 156.05796 \nL 150.550621 156.783557 \nL 149.903588 157.402053 \nL 149.142647 157.906375 \nL 148.270766 158.289394 \nL 147.291289 158.543969 \nL 146.208014 158.662989 \nL 145.025285 158.639482 \nL 143.748099 158.466715 \nL 142.382222 158.138365 \nL 140.934329 157.648698 \nL 139.41215 156.992793 \nL 137.824601 156.166829 \nL 136.181952 155.168397 \nL 134.495948 153.996831 \nL 132.779933 152.653618 \nL 131.048944 151.142782 \nL 129.319777 149.471303 \nL 127.610974 147.649514 \nL 125.942764 145.691436 \nL 124.33694 143.615046 \nL 122.816605 141.442451 \nL 121.405854 139.199857 \nL 120.129316 136.917427 \nL 119.011613 134.62882 \nL 118.076698 132.370589 \nL 117.347127 130.181246 \nL 116.843264 128.100174 \nL 116.582443 126.166311 \nL 116.578222 124.416751 \nL 116.839628 122.885305 \nL 117.370593 121.601153 \nL 118.16954 120.587665 \nL 119.229197 119.861538 \nL 120.53665 119.432257 \nL 122.073646 119.301967 \nL 123.817134 119.465744 \nL 125.740019 119.912235 \nL 127.812075 120.624579 \nL 130.000935 121.581525 \nL 132.273159 122.758662 \nL 134.595233 124.129655 \nL 136.934508 125.667347 \nL 139.260002 127.344756 \nL 141.543056 129.135852 \nL 145.881516 132.963101 \nL 149.781079 136.977343 \nL 151.527636 139.010231 \nL 153.124219 141.040727 \nL 154.563378 143.056397 \nL 155.840027 145.046356 \nL 156.951107 147.000991 \nL 157.895255 148.911766 \nL 158.672469 150.770947 \nL 159.283806 152.571451 \nL 159.731111 154.306614 \nL 160.016754 155.970043 \nL 160.143436 157.555466 \nL 160.114005 159.056604 \nL 159.93132 160.467048 \nL 159.598146 161.78015 \nL 159.117086 162.988936 \nL 158.490535 164.086026 \nL 157.720682 165.063549 \nL 156.809522 165.913105 \nL 155.758907 166.625696 \nL 154.570624 167.191702 \nL 153.246502 167.600878 \nL 151.788553 167.84237 \nL 150.199123 167.904756 \nL 148.481094 167.776157 \nL 146.638103 167.44438 \nL 144.674806 166.897113 \nL 142.597159 166.122255 \nL 140.412734 165.108264 \nL 138.131043 163.844653 \nL 135.763911 162.322615 \nL 133.325826 160.535705 \nL 130.834292 158.480712 \nL 128.310155 156.1586 \nL 125.77785 153.57554 \nL 123.265598 150.743954 \nL 120.805461 147.683574 \nL 118.433212 144.422348 \nL 116.188016 140.997106 \nL 114.111843 137.453911 \nL 112.248611 133.847844 \nL 110.643016 130.24223 \nL 109.339081 126.707127 \nL 108.378427 123.317081 \nL 107.798375 120.148182 \nL 107.629974 117.274556 \nL 107.896082 114.764613 \nL 108.60971 112.677312 \nL 109.772724 111.058811 \nL 111.37512 109.939975 \nL 113.394949 109.334902 \nL 115.79895 109.240739 \nL 118.543841 109.638772 \nL 121.578209 110.496565 \nL 124.844802 111.770967 \nL 128.283039 113.411496 \nL 131.831534 115.363807 \nL 135.430441 117.572871 \nL 139.023469 119.985643 \nL 142.559457 122.552981 \nL 145.993485 125.230974 \nL 149.287504 127.981564 \nL 152.410546 130.77269 \nL 155.338559 133.577974 \nL 158.053986 136.37621 \nL 160.545131 139.150656 \nL 162.805407 141.888317 \nL 164.832549 144.579239 \nL 166.627789 147.215824 \nL 168.195104 149.792305 \nL 169.540496 152.304213 \nL 170.671362 154.74802 \nL 171.595934 157.120793 \nL 172.322828 159.419962 \nL 172.860644 161.6431 \nL 173.217665 163.787779 \nL 173.401604 165.85142 \nL 173.419427 167.831202 \nL 173.277217 169.723939 \nL 172.980084 171.526007 \nL 172.532116 173.233236 \nL 171.936351 174.840834 \nL 171.194785 176.343262 \nL 170.308394 177.734164 \nL 169.277183 179.006216 \nL 168.100248 180.15102 \nL 166.77586 181.158979 \nL 165.301569 182.019156 \nL 163.674322 182.719136 \nL 161.89063 183.244879 \nL 159.94673 183.580603 \nL 157.838819 183.708681 \nL 155.563307 183.60957 \nL 153.117147 183.261789 \nL 150.498198 182.641976 \nL 147.705694 181.725087 \nL 144.740765 180.484702 \nL 141.607063 178.893553 \nL 138.311477 176.924307 \nL 134.864955 174.550661 \nL 131.283375 171.748803 \nL 127.58853 168.499276 \nL 123.809107 164.78933 \nL 119.981641 160.615676 \nL 116.151377 155.987628 \nL 112.372887 150.930487 \nL 108.710364 145.48883 \nL 105.237325 139.729471 \nL 102.035695 133.743384 \nL 99.193964 127.646224 \nL 96.804387 121.576621 \nL 94.959142 115.691909 \nL 93.745531 110.160977 \nL 93.240483 105.154284 \nL 93.50477 100.832062 \nL 94.577533 97.331643 \nL 96.471798 94.755837 \nL 99.171623 93.164064 \nL 102.631467 92.56781 \nL 106.777971 92.931288 \nL 111.514094 94.177099 \nL 116.725142 96.195974 \nL 122.285973 98.858714 \nL 128.068475 102.02857 \nL 133.948567 105.572192 \nL 139.81199 109.367953 \nL 145.55856 113.311317 \nL 151.104733 117.317263 \nL 156.384628 121.320252 \nL 161.34972 125.272544 \nL 165.967602 129.141611 \nL 170.22011 132.907107 \nL 174.101131 136.557966 \nL 177.614346 140.089838 \nL 180.771043 143.502904 \nL 183.588138 146.800232 \nL 186.086447 149.986536 \nL 188.289227 153.067305 \nL 190.220989 156.048219 \nL 191.90657 158.93479 \nL 193.370407 161.732179 \nL 194.636018 164.445086 \nL 195.725632 167.077732 \nL 197.458025 172.116921 \nL 198.713037 176.87526 \nL 199.609161 181.373316 \nL 200.239881 185.628197 \nL 200.840449 191.586316 \nL 201.172082 197.073418 \nL 201.396777 205.273755 \nL 201.40004 213.741925 \nL 201.200417 222.014346 \nL 200.840228 227.944881 \nL 200.449884 231.387354 \nL 199.872508 234.4662 \nL 199.262775 236.555069 \nL 198.441071 238.464773 \nL 197.738868 239.639913 \nL 196.879919 240.735223 \nL 195.828245 241.746504 \nL 194.539507 242.665561 \nL 192.959097 243.478271 \nL 191.019843 244.161689 \nL 188.639291 244.679656 \nL 185.716589 244.976236 \nL 182.129069 244.965921 \nL 180.040854 244.807445 \nL 177.72884 244.51921 \nL 175.170157 244.074735 \nL 172.340127 243.441733 \nL 169.212335 242.580966 \nL 165.758796 241.444944 \nL 161.950279 239.976464 \nL 157.75684 238.107059 \nL 153.148614 235.755406 \nL 148.097015 232.825872 \nL 142.5764 229.207434 \nL 136.566405 224.773352 \nL 130.055079 219.382166 \nL 123.04303 212.880821 \nL 115.54871 205.110977 \nL 107.615023 195.919804 \nL 99.317151 185.176725 \nL 90.771482 172.797376 \nL 82.144856 158.775387 \nL 73.663018 143.220944 \nL 65.61631 126.402241 \nL 58.359775 108.781884 \nL 52.304307 91.035663 \nL 47.895501 74.037366 \nL 45.577945 58.794713 \nL 45.745842 46.329865 \nL 48.685422 37.516422 \nL 54.519884 32.90795 \nL 63.171183 32.610353 \nL 74.352039 36.247335 \nL 87.594526 43.039168 \nL 102.310571 51.970854 \nL 133.671403 72.182295 \nL 149.205507 81.852402 \nL 164.077424 90.562231 \nL 178.015502 98.091906 \nL 190.858236 104.385664 \nL 202.532833 109.494108 \nL 213.031601 113.526816 \nL 222.390472 116.618966 \nL 230.671589 118.910667 \nL 237.950366 120.535653 \nL 244.306549 121.616234 \nL 249.818501 122.261818 \nL 254.559907 122.569259 \nL 258.598192 122.624005 \nL 261.994084 122.501353 \nL 267.070494 121.980754 \nL 271.758189 121.269145 \nL 271.620266 121.478253 \nL 269.673367 123.05356 \nL 266.128085 126.005772 \nL 263.301715 128.60711 \nL 260.371222 131.579539 \nL 257.52832 134.799792 \nL 254.926773 138.15213 \nL 252.681973 141.534273 \nL 250.874137 144.858713 \nL 249.553862 148.051016 \nL 248.748688 151.046636 \nL 248.543159 152.452354 \nL 248.469503 153.787399 \nL 248.527387 155.044934 \nL 248.716051 156.218149 \nL 249.034408 157.300157 \nL 249.481106 158.283943 \nL 250.054571 159.162303 \nL 250.753038 159.927813 \nL 251.574532 160.572807 \nL 252.516837 161.089373 \nL 253.577442 161.469359 \nL 254.75347 161.704417 \nL 256.041563 161.786071 \nL 257.437763 161.70581 \nL 258.937368 161.455251 \nL 260.534765 161.026295 \nL 262.22325 160.411396 \nL 263.994828 159.60382 \nL 265.840007 158.59804 \nL 267.747593 157.390116 \nL 269.704497 155.978194 \nL 271.695543 154.363035 \nL 273.703333 152.548568 \nL 275.708116 150.542494 \nL 277.687781 148.356842 \nL 279.617916 146.008507 \nL 281.471936 143.519652 \nL 283.221414 140.917981 \nL 284.836494 138.236749 \nL 286.286506 135.514546 \nL 287.54071 132.794692 \nL 288.569215 130.124278 \nL 289.344 127.552889 \nL 289.840029 125.130915 \nL 290.036376 122.907675 \nL 289.917343 120.929345 \nL 289.473392 119.236924 \nL 288.70191 117.864359 \nL 287.607687 116.837029 \nL 286.20306 116.170741 \nL 284.50766 115.871264 \nL 282.547832 115.934495 \nL 280.355721 116.347242 \nL 277.96807 117.088502 \nL 275.42485 118.131042 \nL 272.767803 119.443195 \nL 270.039018 120.99068 \nL 267.279592 122.738266 \nL 264.528481 124.65122 \nL 261.821566 126.696438 \nL 259.190988 128.84327 \nL 256.664711 131.064015 \nL 254.266341 133.334149 \nL 252.015132 135.632318 \nL 249.926167 137.940194 \nL 248.010672 140.242192 \nL 246.276407 142.525151 \nL 244.728119 144.777956 \nL 243.368013 146.99119 \nL 242.196214 149.156796 \nL 241.211224 151.267766 \nL 240.410329 153.317863 \nL 239.789973 155.301388 \nL 239.346082 157.212966 \nL 239.074342 159.047384 \nL 238.97043 160.799414 \nL 239.030187 162.463698 \nL 239.249774 164.034604 \nL 239.625759 165.506125 \nL 240.155199 166.871795 \nL 240.835649 168.124553 \nL 241.665182 169.256685 \nL 242.642345 170.259739 \nL 243.766113 171.124419 \nL 245.035794 171.840549 \nL 246.450917 172.396993 \nL 248.011094 172.781636 \nL 249.715836 172.98137 \nL 251.564347 172.982122 \nL 253.555279 172.768947 \nL 255.686437 172.326157 \nL 257.954455 171.637576 \nL 260.35442 170.686841 \nL 262.879464 169.457889 \nL 265.520295 167.935568 \nL 268.264697 166.106405 \nL 271.097039 163.959581 \nL 273.997742 161.488106 \nL 276.942779 158.69017 \nL 279.90324 155.570625 \nL 282.845011 152.14264 \nL 285.728602 148.429276 \nL 288.509236 144.464961 \nL 291.137204 140.296648 \nL 293.558613 135.98444 \nL 295.716566 131.601431 \nL 297.552836 127.232554 \nL 299.009949 122.972299 \nL 300.033737 118.921194 \nL 300.576127 115.181154 \nL 300.59809 111.850006 \nL 300.072419 109.015618 \nL 298.986098 106.750244 \nL 297.341998 105.105784 \nL 295.159647 104.110557 \nL 292.474913 103.768065 \nL 289.338594 104.05787 \nL 285.814024 104.93846 \nL 281.973859 106.351647 \nL 277.896443 108.227892 \nL 273.662036 110.491814 \nL 269.349263 113.067278 \nL 265.032033 115.88162 \nL 260.777171 118.868712 \nL 256.642733 121.970817 \nL 252.67713 125.139408 \nL 248.918859 128.335121 \nL 245.396821 131.527065 \nL 242.131021 134.691786 \nL 239.133547 137.812091 \nL 236.409709 140.875795 \nL 233.959194 143.874628 \nL 231.777239 146.803239 \nL 229.855694 149.658391 \nL 228.183995 152.438315 \nL 226.749996 155.142182 \nL 225.540699 157.769735 \nL 224.542824 160.321035 \nL 223.743294 162.796226 \nL 223.1296 165.19542 \nL 222.690079 167.518583 \nL 222.414121 169.765466 \nL 222.292304 171.935549 \nL 222.31649 174.027969 \nL 222.479869 176.041503 \nL 222.776979 177.974494 \nL 223.203706 179.824797 \nL 223.757252 181.589721 \nL 224.436109 183.265942 \nL 225.240011 184.849417 \nL 226.169889 186.335285 \nL 227.227813 187.717737 \nL 228.416937 188.989874 \nL 229.74143 190.143573 \nL 231.206406 191.169293 \nL 232.817845 192.055882 \nL 234.582487 192.790378 \nL 236.507716 193.357764 \nL 238.60142 193.740741 \nL 240.871789 193.919485 \nL 243.327102 193.871416 \nL 245.975418 193.570995 \nL 248.824218 192.989574 \nL 251.879938 192.09535 \nL 255.147393 190.853448 \nL 258.629078 189.226214 \nL 262.324311 187.173793 \nL 266.228228 184.6551 \nL 270.33057 181.629292 \nL 274.61433 178.05784 \nL 279.054236 173.907376 \nL 283.61513 169.153344 \nL 288.250325 163.784566 \nL 292.90007 157.808528 \nL 297.490324 151.257307 \nL 301.932097 144.193545 \nL 306.121645 136.715762 \nL 309.941898 128.962051 \nL 313.265404 121.110811 \nL 315.959157 113.377248 \nL 317.891239 106.004643 \nL 318.939263 99.249877 \nL 318.999909 93.363978 \nL 317.998713 88.56952 \nL 315.898822 85.038152 \nL 312.707286 82.872153 \nL 308.477662 82.093844 \nL 303.308208 82.644982 \nL 297.33557 84.396729 \nL 290.724783 87.167886 \nL 283.65696 90.747721 \nL 276.316513 94.918974 \nL 268.879425 99.477373 \nL 261.504002 104.245291 \nL 254.324584 109.078935 \nL 247.448407 113.869992 \nL 240.955119 118.543002 \nL 234.898393 123.050373 \nL 229.308836 127.366417 \nL 224.197623 131.481488 \nL 219.560296 135.396858 \nL 215.38042 139.120596 \nL 211.632853 142.66444 \nL 208.28654 146.041643 \nL 205.306811 149.26552 \nL 202.657203 152.348552 \nL 200.30085 155.301943 \nL 198.201511 158.135426 \nL 194.636128 163.474066 \nL 191.705321 168.413785 \nL 183.553543 182.871865 \nL 181.197388 186.193767 \nL 179.93947 187.708166 \nL 178.611278 189.118465 \nL 177.200557 190.41848 \nL 175.695319 191.600731 \nL 174.083737 192.65628 \nL 172.354072 193.574545 \nL 170.494623 194.343075 \nL 168.493709 194.947319 \nL 166.339703 195.370384 \nL 164.021121 195.592766 \nL 161.526733 195.592095 \nL 158.845798 195.342908 \nL 155.968331 194.816439 \nL 152.885516 193.98052 \nL 149.590204 192.799602 \nL 146.077567 191.234942 \nL 142.345916 189.245107 \nL 138.397692 186.786809 \nL 134.240644 183.816277 \nL 129.889211 180.291231 \nL 125.366081 176.173639 \nL 120.703903 171.433339 \nL 115.947054 166.052667 \nL 111.153366 160.031965 \nL 106.39557 153.395843 \nL 101.762278 146.199764 \nL 97.358123 138.53621 \nL 93.302684 130.539417 \nL 89.727827 122.387272 \nL 86.773135 114.298991 \nL 84.579239 106.527208 \nL 83.279176 99.343767 \nL 82.988247 93.019606 \nL 83.793355 87.80049 \nL 85.743097 83.881992 \nL 88.840215 81.388011 \nL 93.037775 80.357032 \nL 98.240196 80.739462 \nL 104.309193 82.406702 \nL 111.074075 85.170032 \nL 118.344813 88.805373 \nL 125.925999 93.078941 \nL 133.629803 97.769306 \nL 141.286411 102.683237 \nL 148.751178 107.664193 \nL 155.90834 112.594496 \nL 162.671727 117.392645 \nL 168.983129 122.007764 \nL 174.809183 126.413059 \nL 180.137457 130.599239 \nL 184.972313 134.568835 \nL 189.330961 138.331631 \nL 193.23992 141.901229 \nL 196.732 145.292668 \nL 199.843837 148.520868 \nL 202.613953 151.599679 \nL 205.081267 154.541407 \nL 209.25898 160.054173 \nL 212.662737 165.123448 \nL 216.856776 171.978632 \nL 220.560349 177.980262 \nL 223.026715 181.500719 \nL 225.644937 184.611206 \nL 227.046996 186.000954 \nL 228.528766 187.27181 \nL 230.1029 188.415682 \nL 231.781658 189.422984 \nL 233.576989 190.282434 \nL 235.500567 190.980859 \nL 237.563792 191.503005 \nL 239.77774 191.831304 \nL 242.153069 191.94568 \nL 244.699847 191.823357 \nL 247.427307 191.438714 \nL 250.34352 190.763206 \nL 253.454954 189.765403 \nL 256.765917 188.411188 \nL 260.277869 186.664191 \nL 263.988571 184.48652 \nL 267.891092 181.839929 \nL 271.972626 178.687462 \nL 276.213186 174.99575 \nL 280.584175 170.737999 \nL 285.046874 165.897792 \nL 289.551017 160.473585 \nL 294.033531 154.483866 \nL 298.417657 147.972575 \nL 302.612744 141.014332 \nL 306.514969 133.718613 \nL 310.00932 126.231944 \nL 312.973105 118.736858 \nL 315.281139 111.446693 \nL 316.812626 104.595387 \nL 317.459381 98.422298 \nL 317.134744 93.15323 \nL 315.782277 88.979755 \nL 313.382956 86.039959 \nL 309.959737 84.404095 \nL 305.578432 84.068149 \nL 300.344577 84.956686 \nL 294.396369 86.934426 \nL 287.894722 89.824338 \nL 281.011746 93.428525 \nL 273.919229 97.548202 \nL 266.778535 101.999894 \nL 259.732868 106.626174 \nL 252.902289 111.300936 \nL 246.381478 115.929847 \nL 240.239777 120.447522 \nL 234.522955 124.81287 \nL 229.256031 129.00375 \nL 224.446644 133.011874 \nL 220.08853 136.838354 \nL 216.164806 140.49017 \nL 212.650913 143.97749 \nL 209.517121 147.311833 \nL 206.730583 150.504803 \nL 204.256966 153.567337 \nL 202.061699 156.509321 \nL 200.110893 159.339402 \nL 196.814164 164.69221 \nL 194.128663 169.671123 \nL 190.80666 176.499999 \nL 187.845843 182.601961 \nL 185.855095 186.268243 \nL 183.724822 189.600578 \nL 182.57717 191.134691 \nL 181.359221 192.57546 \nL 180.059766 193.917682 \nL 178.667644 195.155 \nL 177.171647 196.279728 \nL 175.56043 197.282671 \nL 173.822455 198.152905 \nL 171.945952 198.877528 \nL 169.918921 199.441381 \nL 167.729172 199.826754 \nL 165.364402 200.013082 \nL 162.812345 199.976609 \nL 160.060983 199.690072 \nL 157.098852 199.122438 \nL 153.915457 198.238678 \nL 150.501801 196.999685 \nL 146.851093 195.362382 \nL 142.959623 193.280105 \nL 138.827848 190.70341 \nL 134.461701 187.581396 \nL 129.874179 183.863794 \nL 125.087103 179.503907 \nL 120.133152 174.46265 \nL 115.057976 168.713784 \nL 109.922346 162.250377 \nL 104.804052 155.09228 \nL 99.799325 147.294248 \nL 95.023342 138.953827 \nL 90.609331 130.217723 \nL 86.705839 121.28503 \nL 83.471666 112.405263 \nL 81.068168 103.869577 \nL 79.64905 95.993787 \nL 79.348184 89.093828 \nL 80.2666 83.455573 \nL 82.460362 79.303512 \nL 85.931299 76.773985 \nL 90.622467 75.898743 \nL 96.41972 76.602969 \nL 103.159485 78.718349 \nL 110.641802 82.008618 \nL 118.64665 86.201506 \nL 126.950898 91.020675 \nL 135.34359 96.211969 \nL 143.637726 101.560676 \nL 159.342919 112.108708 \nL 173.234715 121.862657 \nL 184.975382 130.563146 \nL 190.035493 134.523232 \nL 194.584819 138.244277 \nL 198.657516 141.746081 \nL 202.293411 145.048552 \nL 205.535424 148.170276 \nL 208.427591 151.127751 \nL 213.335819 156.603851 \nL 217.34744 161.560959 \nL 226.704492 173.688006 \nL 229.629037 176.819539 \nL 231.146312 178.1997 \nL 232.721884 179.447648 \nL 234.37043 180.555342 \nL 236.105569 181.51328 \nL 237.939944 182.310405 \nL 239.885296 182.933977 \nL 241.952457 183.369453 \nL 244.151321 183.600401 \nL 246.490744 183.608408 \nL 248.978368 183.373067 \nL 251.620387 182.871993 \nL 254.421221 182.080977 \nL 257.3831 180.974249 \nL 260.505553 179.524935 \nL 263.784782 177.705735 \nL 267.212948 175.489886 \nL 270.777356 172.852507 \nL 274.459539 169.772302 \nL 278.234304 166.233739 \nL 282.068804 162.22969 \nL 285.921617 157.764429 \nL 289.74207 152.856975 \nL 293.469814 147.544482 \nL 297.034874 141.885361 \nL 300.358351 135.961711 \nL 303.35391 129.880418 \nL 305.930215 123.772346 \nL 307.994414 117.789088 \nL 309.456636 112.096796 \nL 310.235286 106.867239 \nL 310.262788 102.266474 \nL 309.49132 98.442242 \nL 307.897744 95.511674 \nL 305.487153 93.551194 \nL 302.294387 92.590214 \nL 298.383143 92.609799 \nL 293.842656 93.546597 \nL 288.782282 95.301301 \nL 283.324579 97.750064 \nL 277.597812 100.757039 \nL 271.728658 104.186007 \nL 265.835875 107.909873 \nL 260.025467 111.817092 \nL 254.38747 115.815193 \nL 248.9944 119.831478 \nL 243.901111 123.811917 \nL 239.145747 127.718752 \nL 234.751421 131.527569 \nL 230.728349 135.224297 \nL 227.076101 138.802474 \nL 223.785844 142.260904 \nL 220.842413 145.601852 \nL 218.226141 148.829608 \nL 215.914415 151.949511 \nL 213.88297 154.967262 \nL 212.106908 157.888516 \nL 210.561491 160.718615 \nL 209.222741 163.462445 \nL 208.067852 166.124434 \nL 206.225887 171.218241 \nL 204.884725 176.026738 \nL 203.920578 180.571346 \nL 203.235182 184.869737 \nL 202.568762 190.888281 \nL 202.180852 196.430752 \nL 201.860585 204.713641 \nL 201.633265 218.237251 \nL 201.353522 230.263786 \nL 201.054813 234.947102 \nL 200.629696 238.30009 \nL 200.098276 240.665267 \nL 199.532094 242.269406 \nL 198.763288 243.734826 \nL 198.102382 244.635328 \nL 197.290216 245.472869 \nL 196.29143 246.243212 \nL 195.062323 246.93845 \nL 193.548926 247.545189 \nL 191.684656 248.041774 \nL 189.387528 248.394087 \nL 186.556908 248.549195 \nL 183.069893 248.425814 \nL 178.77758 247.900119 \nL 176.274978 247.43114 \nL 173.501865 246.784993 \nL 170.431189 245.923557 \nL 167.034119 244.800481 \nL 163.280314 243.359671 \nL 159.138379 241.533613 \nL 154.576588 239.24165 \nL 149.563987 236.388279 \nL 144.071954 232.861764 \nL 138.076433 228.533375 \nL 131.560945 223.257816 \nL 124.520662 216.875654 \nL 116.967636 209.21879 \nL 108.937479 200.120383 \nL 100.497425 189.430819 \nL 91.755654 177.041285 \nL 82.871376 162.915973 \nL 74.064524 147.132461 \nL 65.623078 129.927073 \nL 57.905354 111.737659 \nL 51.333472 93.23097 \nL 46.374115 75.297191 \nL 43.503697 58.993345 \nL 43.157727 45.424973 \nL 45.669158 35.574024 \nL 51.206449 30.106904 \nL 59.726993 29.219717 \nL 70.961519 32.579523 \nL 84.438577 39.392428 \nL 99.546168 48.579568 \nL 132.001579 69.636498 \nL 148.152077 79.726581 \nL 163.637583 88.778594 \nL 178.161383 96.547267 \nL 191.546222 102.970581 \nL 203.710964 108.105087 \nL 214.644647 112.072751 \nL 224.382866 115.023793 \nL 232.988747 117.113846 \nL 240.538922 118.491776 \nL 247.113992 119.294353 \nL 252.792575 119.644723 \nL 257.648012 119.652875 \nL 261.746962 119.416749 \nL 265.149237 119.023398 \nL 267.90842 118.549898 \nL 271.687309 117.624054 \nL 273.641206 117.030705 \nL 273.462497 117.179863 \nL 269.676602 119.842193 \nL 266.518973 122.342788 \nL 262.945682 125.46123 \nL 259.24304 129.034229 \nL 255.652308 132.899263 \nL 252.362264 136.911249 \nL 249.508952 140.949366 \nL 247.181077 144.916809 \nL 246.231093 146.849338 \nL 245.428833 148.736555 \nL 244.776202 150.571008 \nL 244.273934 152.345758 \nL 243.921863 154.054244 \nL 243.719152 155.690124 \nL 243.664508 157.247154 \nL 243.756346 158.719043 \nL 243.992939 160.099358 \nL 244.372508 161.381442 \nL 244.893314 162.558305 \nL 245.553693 163.622566 \nL 246.352066 164.566362 \nL 247.286925 165.381312 \nL 248.356797 166.058477 \nL 249.56016 166.58833 \nL 250.895352 166.960763 \nL 252.360428 167.16512 \nL 253.95302 167.190233 \nL 255.670131 167.024567 \nL 257.507927 166.656364 \nL 259.461491 166.073866 \nL 261.524528 165.265624 \nL 263.689089 164.220905 \nL 265.945222 162.930183 \nL 268.280662 161.38574 \nL 270.680471 159.582381 \nL 273.126732 157.518279 \nL 275.598242 155.195886 \nL 278.070309 152.622908 \nL 280.514599 149.813308 \nL 282.899148 146.788277 \nL 285.188514 143.576996 \nL 287.344171 140.217224 \nL 289.325132 136.75547 \nL 291.088828 133.246668 \nL 292.592309 129.753272 \nL 293.79368 126.343658 \nL 294.653769 123.089849 \nL 295.137973 120.064605 \nL 295.218093 117.338078 \nL 294.87413 114.97425 \nL 294.095776 113.027442 \nL 292.883528 111.539386 \nL 291.249254 110.536981 \nL 289.21614 110.031131 \nL 286.817982 110.016827 \nL 284.097831 110.474246 \nL 281.106151 111.371003 \nL 277.898627 112.664939 \nL 274.53375 114.307348 \nL 271.07047 116.246243 \nL 267.566012 118.429212 \nL 264.074016 120.805856 \nL 260.643106 123.329573 \nL 257.315886 125.958724 \nL 254.128393 128.657165 \nL 251.109926 131.394365 \nL 248.283219 134.145117 \nL 245.66487 136.889024 \nL 243.265941 139.609887 \nL 241.092672 142.295015 \nL 239.147228 144.934548 \nL 237.42848 147.520864 \nL 235.932718 150.048042 \nL 234.654325 152.511416 \nL 233.586378 154.907192 \nL 232.721169 157.232149 \nL 232.050643 159.48339 \nL 231.566765 161.658156 \nL 231.261821 163.753651 \nL 231.128637 165.766946 \nL 231.160765 167.69481 \nL 231.3526 169.533664 \nL 231.69947 171.279447 \nL 232.197678 172.927538 \nL 232.844523 174.472639 \nL 233.63829 175.908709 \nL 234.578225 177.228808 \nL 235.664477 178.425026 \nL 236.898026 179.48833 \nL 238.28059 180.408457 \nL 239.814516 181.17377 \nL 241.502642 181.771144 \nL 243.348113 182.185847 \nL 245.354195 182.401415 \nL 247.524029 182.399621 \nL 249.860331 182.16041 \nL 252.365049 181.661976 \nL 255.038953 180.880889 \nL 257.881139 179.792378 \nL 260.888477 178.370775 \nL 264.054941 176.590189 \nL 267.370871 174.425446 \nL 270.822163 171.853374 \nL 274.389378 168.854439 \nL 278.04682 165.414799 \nL 281.761621 161.528762 \nL 285.492942 157.201618 \nL 289.191282 152.452713 \nL 292.798164 147.318541 \nL 296.246183 141.855599 \nL 299.45972 136.142527 \nL 302.356336 130.281057 \nL 304.849128 124.395167 \nL 306.849964 118.627989 \nL 308.273659 113.136132 \nL 309.042905 108.0814 \nL 309.093583 103.620445 \nL 308.380052 99.893231 \nL 306.879724 97.011761 \nL 304.596378 95.050683 \nL 301.561625 94.041305 \nL 297.834206 93.970093 \nL 293.497057 94.781881 \nL 288.652394 96.387274 \nL 283.415444 98.672831 \nL 277.907506 101.512449 \nL 272.249175 104.778194 \nL 266.554346 108.349262 \nL 260.925508 112.118329 \nL 255.450581 115.995112 \nL 250.201228 119.907526 \nL 245.232519 123.800963 \nL 240.583647 127.636286 \nL 236.279372 131.38729 \nL 232.331928 135.037952 \nL 228.743109 138.579891 \nL 225.506368 142.010166 \nL 222.608774 145.329487 \nL 220.032788 148.540837 \nL 217.757771 151.648461 \nL 215.76125 154.65718 \nL 214.019949 157.571932 \nL 212.510583 160.397485 \nL 211.210468 163.138291 \nL 210.097958 165.798408 \nL 209.152751 168.381494 \nL 207.690812 173.329356 \nL 206.694293 178.004247 \nL 206.058996 182.424384 \nL 205.704927 186.605027 \nL 205.573234 190.559289 \nL 205.622884 194.298689 \nL 205.8276 197.83339 \nL 206.173282 201.172292 \nL 206.656023 204.32294 \nL 207.280726 207.29131 \nL 208.060287 210.081436 \nL 209.015303 212.694835 \nL 210.174251 215.129635 \nL 211.574096 217.379313 \nL 213.261313 219.430837 \nL 215.293272 221.261996 \nL 216.459851 222.084563 \nL 217.739942 222.837507 \nL 219.14458 223.513459 \nL 220.685833 224.103403 \nL 222.376865 224.596373 \nL 224.231981 224.979059 \nL 226.266665 225.235377 \nL 228.497592 225.345955 \nL 230.942608 225.287526 \nL 233.620667 225.032263 \nL 236.551682 224.547018 \nL 239.756314 223.792497 \nL 243.255611 222.722379 \nL 247.070496 221.28246 \nL 251.221036 219.409842 \nL 255.725435 217.032352 \nL 260.59868 214.068318 \nL 265.850751 210.426991 \nL 271.48429 206.009961 \nL 277.491708 200.71401 \nL 283.851553 194.436038 \nL 290.524237 187.080621 \nL 297.447125 178.570945 \nL 304.529201 168.863548 \nL 311.645763 157.966889 \nL 318.633887 145.962963 \nL 325.289688 133.029767 \nL 331.368837 119.460677 \nL 336.592029 105.674815 \nL 340.656953 92.211151 \nL 343.257953 79.699392 \nL 344.112932 68.803895 \nL 342.995599 60.143762 \nL 339.768193 54.201246 \nL 334.408515 51.239386 \nL 327.024157 51.252545 \nL 317.849069 53.966914 \nL 307.221259 58.893439 \nL 295.545758 65.418009 \nL 283.250612 72.902602 \nL 246.464535 95.955336 \nL 235.188045 102.749528 \nL 224.695458 108.853096 \nL 215.06146 114.248064 \nL 206.310354 118.964661 \nL 191.377993 126.601984 \nL 179.535135 132.302342 \nL 166.406047 138.266272 \nL 157.287269 142.111926 \nL 152.720295 143.834126 \nL 148.983494 145.017543 \nL 145.837601 145.731502 \nL 143.108113 146.022306 \nL 140.674404 145.924417 \nL 138.459923 145.468468 \nL 136.423802 144.687202 \nL 134.553625 143.619848 \nL 132.859046 142.315189 \nL 131.365894 140.833217 \nL 130.110401 139.245238 \nL 129.133345 137.632104 \nL 128.474113 136.080637 \nL 128.164939 134.678354 \nL 128.225681 133.50713 \nL 128.39654 133.03057 \nL 128.659679 132.636588 \nL 129.01252 132.331035 \nL 129.451251 132.118372 \nL 129.970857 132.001582 \nL 131.227061 132.060217 \nL 132.720331 132.501751 \nL 134.377834 133.300013 \nL 136.119966 134.411885 \nL 137.865875 135.782228 \nL 139.53841 137.348862 \nL 141.068071 139.046871 \nL 142.395655 140.811787 \nL 143.473583 142.581735 \nL 144.266161 144.298509 \nL 144.749021 145.907892 \nL 144.908125 147.359556 \nL 144.738673 148.606777 \nL 144.244128 149.606234 \nL 143.43557 150.318048 \nL 142.331466 150.706272 \nL 140.957906 150.739981 \nL 139.349216 150.395002 \nL 137.548851 149.656426 \nL 135.610312 148.521756 \nL 133.597858 147.004606 \nL 131.586574 145.138452 \nL 129.661378 142.97981 \nL 127.914588 140.609985 \nL 126.441622 138.134315 \nL 125.334907 135.678007 \nL 124.676156 133.378223 \nL 124.535294 132.330403 \nL 124.527918 131.372661 \nL 124.65754 130.52008 \nL 124.925552 129.786093 \nL 125.331138 129.182113 \nL 125.871196 128.717252 \nL 126.540358 128.398087 \nL 127.33107 128.22855 \nL 128.233744 128.209923 \nL 129.236969 128.34088 \nL 130.327763 128.61768 \nL 132.714296 129.583154 \nL 135.270696 131.038039 \nL 137.870548 132.894366 \nL 140.393493 135.054862 \nL 142.732753 137.421467 \nL 144.799759 139.901093 \nL 146.525945 142.408686 \nL 147.862229 144.867992 \nL 148.776906 147.210868 \nL 149.252802 149.37573 \nL 149.284302 151.305773 \nL 149.134176 152.16589 \nL 148.874824 152.947345 \nL 148.507781 153.64371 \nL 148.03497 154.248646 \nL 147.458694 154.755855 \nL 146.78165 155.159143 \nL 146.006947 155.452417 \nL 145.138153 155.62973 \nL 144.179358 155.685382 \nL 143.135222 155.613965 \nL 142.011065 155.410513 \nL 140.812959 155.070611 \nL 139.547807 154.590591 \nL 136.848767 153.200355 \nL 133.989523 151.233108 \nL 131.064576 148.708733 \nL 128.188575 145.682258 \nL 125.495237 142.251436 \nL 123.132896 138.56093 \nL 122.124177 136.67602 \nL 121.255898 134.800373 \nL 120.546143 132.963007 \nL 120.011549 131.193887 \nL 119.66672 129.523144 \nL 119.523673 127.98012 \nL 119.591324 126.592388 \nL 119.875019 125.38484 \nL 120.376194 124.378778 \nL 121.092133 123.591197 \nL 122.015903 123.034231 \nL 123.136443 122.714828 \nL 124.438816 122.63472 \nL 125.904607 122.790577 \nL 127.512475 123.174451 \nL 129.238783 123.774346 \nL 131.058289 124.574966 \nL 132.944898 125.558487 \nL 134.872345 126.705384 \nL 138.747786 129.407174 \nL 142.494261 132.516747 \nL 145.951466 135.881715 \nL 148.995753 139.369531 \nL 151.540576 142.869694 \nL 153.532496 146.291681 \nL 154.311902 147.949504 \nL 154.944717 149.560699 \nL 155.430572 151.117574 \nL 155.769881 152.612834 \nL 155.963669 154.039444 \nL 156.013404 155.390502 \nL 155.920873 156.659153 \nL 155.688068 157.838486 \nL 155.317111 158.921451 \nL 154.810211 159.900811 \nL 154.169629 160.769063 \nL 153.397691 161.518406 \nL 152.496809 162.140722 \nL 151.469545 162.627569 \nL 150.318671 162.970181 \nL 149.047298 163.15955 \nL 147.658988 163.186458 \nL 146.157906 163.041615 \nL 144.549001 162.715811 \nL 142.838195 162.200142 \nL 141.032602 161.48626 \nL 139.140754 160.566714 \nL 137.17284 159.435377 \nL 135.140956 158.0879 \nL 133.05931 156.522283 \nL 130.944462 154.739483 \nL 128.815485 152.744073 \nL 126.694075 150.544921 \nL 124.604588 148.155843 \nL 122.573977 145.59623 \nL 120.63158 142.891474 \nL 118.808794 140.073244 \nL 117.13851 137.179496 \nL 115.654429 134.254097 \nL 114.390147 131.346078 \nL 113.378103 128.508426 \nL 112.648355 125.79645 \nL 112.2273 123.265803 \nL 112.13639 120.970164 \nL 112.390888 118.95886 \nL 112.998841 117.274522 \nL 113.960332 115.951072 \nL 115.267022 115.012121 \nL 116.902177 114.470057 \nL 118.841086 114.325873 \nL 121.051909 114.569655 \nL 123.496881 115.18182 \nL 126.133772 116.134802 \nL 128.917523 117.395071 \nL 131.801944 118.925304 \nL 134.741271 120.686383 \nL 137.691617 122.639258 \nL 140.612143 124.7464 \nL 143.465956 126.972895 \nL 146.220706 129.287146 \nL 148.848915 131.661218 \nL 151.328031 134.070923 \nL 153.640278 136.495657 \nL 155.77235 138.918093 \nL 157.71498 141.323807 \nL 159.462437 143.700836 \nL 161.011992 146.039285 \nL 162.363378 148.330875 \nL 163.51828 150.568615 \nL 164.479837 152.746474 \nL 165.252219 154.859085 \nL 165.840238 156.901517 \nL 166.249027 158.869081 \nL 166.483757 160.757143 \nL 166.54942 162.560997 \nL 166.450658 164.275703 \nL 166.191625 165.896015 \nL 165.775912 167.416216 \nL 165.206479 168.83007 \nL 164.485639 170.130687 \nL 163.615072 171.310431 \nL 162.595861 172.360849 \nL 161.428548 173.272542 \nL 160.113231 174.035129 \nL 158.649688 174.637126 \nL 157.03751 175.06592 \nL 155.276303 175.307729 \nL 153.365884 175.34759 \nL 151.306545 175.169423 \nL 149.099358 174.756146 \nL 146.746503 174.089867 \nL 144.251681 173.152198 \nL 141.620559 171.92468 \nL 138.861266 170.389415 \nL 135.984939 168.52984 \nL 133.006321 166.331756 \nL 129.944347 163.784583 \nL 126.822764 160.882837 \nL 123.670666 157.62784 \nL 120.522966 154.029575 \nL 117.420695 150.108633 \nL 114.411058 145.898082 \nL 111.547179 141.445023 \nL 108.887407 136.811634 \nL 106.494188 132.075384 \nL 104.432298 127.328127 \nL 102.766584 122.67383 \nL 101.559141 118.224829 \nL 100.866061 114.096616 \nL 100.73404 110.401496 \nL 101.196992 107.241568 \nL 102.273095 104.701821 \nL 103.962608 102.844187 \nL 106.246754 101.703339 \nL 109.087834 101.284901 \nL 112.430741 101.566247 \nL 116.205669 102.499849 \nL 120.331809 104.018512 \nL 124.721629 106.041882 \nL 129.285337 108.483056 \nL 133.935068 111.254828 \nL 138.588471 114.274655 \nL 143.171517 117.468215 \nL 147.620364 120.771557 \nL 151.882358 124.131825 \nL 155.916215 127.507004 \nL 159.691599 130.864965 \nL 163.188216 134.182099 \nL 166.394618 137.441795 \nL 169.306873 140.632978 \nL 171.927175 143.748772 \nL 174.262527 146.785329 \nL 176.323517 149.740951 \nL 178.123235 152.615346 \nL 179.676348 155.409095 \nL 180.998318 158.123258 \nL 182.104777 160.759126 \nL 183.011028 163.318004 \nL 183.731661 165.8011 \nL 184.280275 168.209445 \nL 184.669278 170.543853 \nL 184.909757 172.804869 \nL 185.011397 174.992777 \nL 184.982452 177.107524 \nL 184.82973 179.148734 \nL 184.558624 181.115674 \nL 184.173135 183.007189 \nL 183.675913 184.821672 \nL 183.068317 186.557014 \nL 182.35045 188.210505 \nL 181.521217 189.778763 \nL 180.578374 191.257633 \nL 179.518565 192.642066 \nL 178.33738 193.925975 \nL 177.029392 195.102078 \nL 175.588209 196.161716 \nL 174.006527 197.094643 \nL 172.276194 197.888799 \nL 170.388293 198.530037 \nL 168.333246 199.001863 \nL 166.100949 199.28511 \nL 163.680946 199.357638 \nL 161.062663 199.194027 \nL 158.235723 198.765275 \nL 155.190332 198.03858 \nL 151.917786 196.977195 \nL 148.411129 195.540442 \nL 144.665931 193.683982 \nL 140.681316 191.360409 \nL 136.461138 188.52033 \nL 132.015433 185.114066 \nL 127.362089 181.094124 \nL 122.528704 176.418695 \nL 117.554648 171.056206 \nL 112.493149 164.991106 \nL 107.413278 158.230692 \nL 102.401569 150.812825 \nL 97.562926 142.813734 \nL 93.020425 134.355028 \nL 88.913486 125.608337 \nL 85.393995 116.795929 \nL 82.619974 108.185271 \nL 80.746746 100.076345 \nL 79.915869 92.781087 \nL 80.242734 86.596309 \nL 81.804144 81.77338 \nL 84.627808 78.489503 \nL 88.685579 76.826535 \nL 93.892051 76.761954 \nL 100.109256 78.174576 \nL 107.157041 80.863874 \nL 114.827596 84.57846 \nL 122.901923 89.047703 \nL 131.165741 94.010356 \nL 139.422754 99.235795 \nL 147.504119 104.536343 \nL 162.629353 114.842951 \nL 175.849997 124.290339 \nL 181.658396 128.626925 \nL 186.930346 132.707766 \nL 191.684271 136.54655 \nL 195.949335 140.16117 \nL 199.761912 143.570852 \nL 203.162722 146.794284 \nL 206.194587 149.84853 \nL 211.323606 155.50677 \nL 215.480274 160.637217 \nL 220.532188 167.461666 \nL 224.886855 173.304218 \nL 227.724007 176.645405 \nL 229.181665 178.140092 \nL 230.68788 179.510435 \nL 232.257944 180.749556 \nL 233.906083 181.849183 \nL 235.645583 182.799593 \nL 237.48887 183.58943 \nL 239.447569 184.205628 \nL 241.532502 184.633234 \nL 243.753632 184.855321 \nL 246.119965 184.852886 \nL 248.639366 184.604814 \nL 251.318306 184.087872 \nL 254.161522 183.276862 \nL 257.171584 182.144841 \nL 260.348359 180.663587 \nL 263.68836 178.804294 \nL 267.183988 176.538536 \nL 270.822674 173.839633 \nL 274.585903 170.684466 \nL 278.448208 167.055712 \nL 282.376135 162.94464 \nL 286.327292 158.3543 \nL 290.249547 153.303098 \nL 294.080552 147.828459 \nL 297.747739 141.990231 \nL 301.169004 135.873375 \nL 304.254222 129.589264 \nL 306.907781 123.274946 \nL 309.032286 117.089732 \nL 310.533294 111.208635 \nL 311.32497 105.812779 \nL 311.336277 101.077144 \nL 310.517078 97.156953 \nL 308.843433 94.174416 \nL 306.321406 92.20787 \nL 302.988607 91.285136 \nL 298.913167 91.382359 \nL 294.190047 92.428632 \nL 288.935118 94.315439 \nL 283.277706 96.909257 \nL 277.352489 100.065134 \nL 271.291764 103.639193 \nL 265.218799 107.49851 \nL 259.242822 111.527748 \nL 253.455821 115.63242 \nL 247.931103 119.739348 \nL 242.723339 123.795084 \nL 237.869724 127.763159 \nL 233.39189 131.620827 \nL 229.298225 135.355801 \nL 225.586296 138.963346 \nL 222.245216 142.443873 \nL 219.257811 145.801014 \nL 216.602504 149.040228 \nL 214.254917 152.167805 \nL 212.18917 155.190229 \nL 210.378908 158.113756 \nL 208.798092 160.944197 \nL 207.42157 163.686823 \nL 206.22549 166.346325 \nL 204.287164 171.432117 \nL 202.825472 176.229377 \nL 201.710506 180.760074 \nL 200.466071 187.094498 \nL 197.089149 206.224802 \nL 196.325075 209.090379 \nL 195.434907 211.781232 \nL 194.384759 214.298049 \nL 193.136206 216.63781 \nL 191.644465 218.792388 \nL 189.856499 220.746498 \nL 187.708973 222.4747 \nL 186.477233 223.242329 \nL 185.126075 223.937066 \nL 183.6437 224.550641 \nL 182.017252 225.072949 \nL 180.232752 225.491716 \nL 178.275055 225.792076 \nL 176.127823 225.95608 \nL 173.77352 225.962136 \nL 171.193456 225.784353 \nL 168.367889 225.391813 \nL 165.276207 224.747752 \nL 161.897213 223.808694 \nL 158.209565 222.523542 \nL 154.192413 220.83274 \nL 149.826274 218.667519 \nL 145.094235 215.949489 \nL 139.983564 212.590717 \nL 134.48781 208.494641 \nL 128.609467 203.558246 \nL 122.363339 197.67603 \nL 115.780579 190.74642 \nL 108.913435 182.681291 \nL 101.840518 173.41923 \nL 94.672293 162.942803 \nL 87.556183 151.299424 \nL 80.680332 138.624315 \nL 74.274747 125.162317 \nL 68.608168 111.283385 \nL 63.978919 97.484731 \nL 60.698347 84.372001 \nL 59.06642 72.613874 \nL 59.340726 62.869649 \nL 61.702563 55.698513 \nL 66.226085 51.468267 \nL 72.857458 50.288045 \nL 81.410524 51.986371 \nL 91.58181 56.144328 \nL 102.982961 62.1753 \nL 115.183925 69.427544 \nL 164.18743 99.938911 \nL 175.086554 106.344948 \nL 185.140444 112.027618 \nL 194.30653 117.002746 \nL 202.585159 121.320918 \nL 216.623684 128.260269 \nL 227.696792 133.399935 \nL 236.350459 137.209223 \nL 245.931022 141.147767 \nL 250.687949 142.899105 \nL 254.538792 144.104081 \nL 257.736267 144.84323 \nL 260.466278 145.171144 \nL 262.859286 145.12836 \nL 265.000622 144.749758 \nL 266.939413 144.070534 \nL 268.696222 143.130455 \nL 270.269709 141.97673 \nL 271.642658 140.665457 \nL 272.787685 139.261644 \nL 273.672788 137.837648 \nL 274.266731 136.470125 \nL 274.544206 135.235627 \nL 274.490321 134.205358 \nL 274.104113 133.439814 \nL 273.790458 133.171115 \nL 272.93927 132.881489 \nL 271.82407 132.933963 \nL 270.498193 133.325271 \nL 269.025375 134.034035 \nL 267.475406 135.023845 \nL 265.919579 136.24726 \nL 264.426479 137.649886 \nL 263.058525 139.173983 \nL 261.869572 140.761407 \nL 260.903535 142.355546 \nL 260.193931 143.902544 \nL 259.764124 145.351815 \nL 259.627945 146.656244 \nL 259.790511 147.77214 \nL 260.248923 148.659268 \nL 260.992782 149.281122 \nL 262.004377 149.605482 \nL 263.258541 149.605508 \nL 264.722222 149.261375 \nL 266.353889 148.562455 \nL 268.102989 147.510046 \nL 269.909626 146.120307 \nL 271.704866 144.427176 \nL 273.411996 142.484615 \nL 274.949007 140.367458 \nL 276.23249 138.170169 \nL 277.183059 136.00282 \nL 277.731825 133.984039 \nL 277.827333 132.231522 \nL 277.695401 131.488947 \nL 277.441933 130.851105 \nL 277.067951 130.327652 \nL 276.576409 129.926295 \nL 275.972158 129.652657 \nL 275.261892 129.510165 \nL 274.454007 129.500013 \nL 273.558427 129.621255 \nL 271.550208 130.244076 \nL 269.338282 131.333748 \nL 267.031848 132.823488 \nL 264.73969 134.632998 \nL 262.562781 136.676311 \nL 260.589006 138.867927 \nL 258.890158 141.12673 \nL 257.52109 143.377997 \nL 256.520464 145.553796 \nL 255.91257 147.59235 \nL 255.709547 149.436945 \nL 255.913551 151.034707 \nL 256.166571 151.725296 \nL 256.518487 152.335581 \nL 256.967425 152.859667 \nL 257.511093 153.291776 \nL 258.146755 153.626296 \nL 258.871231 153.857816 \nL 259.680849 153.981177 \nL 260.571401 153.991525 \nL 261.53809 153.884416 \nL 263.677386 153.30273 \nL 266.046143 152.213323 \nL 268.57807 150.608972 \nL 271.19128 148.504274 \nL 273.787378 145.942276 \nL 276.252187 143.00054 \nL 278.459034 139.794804 \nL 280.275186 136.478328 \nL 280.995974 134.835176 \nL 281.571687 133.23503 \nL 281.988891 131.703361 \nL 282.236058 130.265455 \nL 282.304005 128.945645 \nL 282.186304 127.766577 \nL 281.879595 126.748475 \nL 281.38384 125.908472 \nL 280.70246 125.260103 \nL 279.84235 124.812895 \nL 278.813786 124.572163 \nL 277.630179 124.538992 \nL 276.307731 124.710409 \nL 274.864992 125.079706 \nL 273.322353 125.636885 \nL 271.701467 126.369258 \nL 270.024697 127.262008 \nL 266.593043 129.462545 \nL 263.199895 132.100497 \nL 259.998524 135.038627 \nL 257.114593 138.150789 \nL 254.642997 141.326755 \nL 252.648973 144.472805 \nL 251.172064 147.509628 \nL 250.231455 150.368932 \nL 249.964065 151.712787 \nL 249.831504 152.989804 \nL 249.832799 154.19296 \nL 249.966594 155.31529 \nL 250.231232 156.349841 \nL 250.624823 157.28957 \nL 251.145269 158.127334 \nL 251.790291 158.855836 \nL 252.557408 159.467591 \nL 253.44391 159.954959 \nL 254.446798 160.31014 \nL 255.562713 160.525221 \nL 256.787831 160.592255 \nL 258.117751 160.503338 \nL 259.547354 160.250788 \nL 261.070651 159.827292 \nL 262.680622 159.22615 \nL 264.369018 158.44156 \nL 266.126204 157.468933 \nL 267.940956 156.305297 \nL 269.800293 154.949719 \nL 271.689323 153.403781 \nL 273.59112 151.672096 \nL 275.486666 149.762817 \nL 277.354822 147.688119 \nL 279.172418 145.46464 \nL 280.91441 143.113827 \nL 282.5542 140.662091 \nL 284.064035 138.1408 \nL 285.415569 135.586006 \nL 286.580582 133.037867 \nL 287.531773 130.539776 \nL 288.243705 128.137147 \nL 288.693809 125.875951 \nL 288.863351 123.801031 \nL 288.738416 121.9543 \nL 288.310719 120.37296 \nL 287.578275 119.087894 \nL 286.545787 118.122343 \nL 285.224746 117.491029 \nL 283.633228 117.199721 \nL 281.795373 117.245418 \nL 279.740555 117.616962 \nL 277.502356 118.296101 \nL 275.117342 119.258867 \nL 272.623809 120.477113 \nL 270.06047 121.920069 \nL 267.465313 123.555839 \nL 264.874517 125.352677 \nL 262.321638 127.280037 \nL 259.836947 129.309328 \nL 257.44703 131.41442 \nL 255.174576 133.571899 \nL 253.03835 135.761131 \nL 251.053319 137.964145 \nL 249.230903 140.165468 \nL 247.579313 142.35182 \nL 246.103929 144.51182 \nL 244.807721 146.635693 \nL 243.691654 148.714937 \nL 242.755103 150.742074 \nL 241.996227 152.710381 \nL 241.41231 154.613679 \nL 241.000059 156.446123 \nL 240.75587 158.202032 \nL 240.67603 159.875741 \nL 240.756914 161.461472 \nL 240.995094 162.953202 \nL 241.387459 164.344565 \nL 241.931253 165.62876 \nL 242.624118 166.798446 \nL 243.464091 167.84566 \nL 244.449563 168.761763 \nL 245.579229 169.537346 \nL 246.85199 170.162209 \nL 248.266839 170.62531 \nL 249.82271 170.914756 \nL 251.5183 171.01784 \nL 253.351853 170.921105 \nL 255.320915 170.610459 \nL 257.422042 170.071378 \nL 259.650485 169.28918 \nL 261.999816 168.249409 \nL 264.461541 166.938367 \nL 267.024658 165.34374 \nL 269.67524 163.455404 \nL 272.395939 161.266412 \nL 275.165592 158.774105 \nL 277.958792 155.981399 \nL 280.745609 152.898127 \nL 283.491388 149.542422 \nL 286.156765 145.942028 \nL 288.697911 142.13539 \nL 291.067065 138.172313 \nL 293.213458 134.114116 \nL 295.084598 130.03296 \nL 296.627933 126.010275 \nL 297.792946 122.134201 \nL 298.533476 118.496032 \nL 298.810247 115.185819 \nL 298.593337 112.287499 \nL 297.864455 109.873907 \nL 296.618677 108.002276 \nL 294.865578 106.710784 \nL 292.629445 106.016452 \nL 289.948584 105.914838 \nL 286.873733 106.381451 \nL 283.465678 107.374679 \nL 279.792337 108.839784 \nL 275.925522 110.713517 \nL 271.937712 112.928682 \nL 267.899112 115.418305 \nL 263.875154 118.118916 \nL 259.924579 120.972923 \nL 256.098176 123.930032 \nL 252.438123 126.947799 \nL 248.977879 129.991518 \nL 245.742521 133.033638 \nL 242.749382 136.052892 \nL 240.008938 139.033302 \nL 237.525791 141.96317 \nL 235.299688 144.834172 \nL 233.326524 147.640516 \nL 231.599275 150.378272 \nL 230.108833 153.044815 \nL 228.844746 155.638394 \nL 227.79584 158.157788 \nL 226.950731 160.602055 \nL 226.29825 162.970352 \nL 225.827772 165.261788 \nL 225.529458 167.475304 \nL 225.394449 169.60961 \nL 225.414988 171.663082 \nL 225.584507 173.633713 \nL 225.89767 175.519033 \nL 226.35039 177.316051 \nL 226.939825 179.021161 \nL 227.664357 180.630057 \nL 228.523548 182.137621 \nL 229.518096 183.537836 \nL 230.649776 184.823646 \nL 231.921365 185.986795 \nL 233.336568 187.017689 \nL 234.899911 187.905226 \nL 236.616637 188.636608 \nL 238.492572 189.197145 \nL 240.533946 189.570061 \nL 242.747205 189.736312 \nL 245.138751 189.674427 \nL 247.714637 189.360367 \nL 250.480191 188.767497 \nL 253.439552 187.866578 \nL 256.595101 186.62603 \nL 259.946787 185.01228 \nL 263.49132 182.990466 \nL 267.221234 180.525486 \nL 271.123792 177.583468 \nL 275.179809 174.133839 \nL 279.362308 170.151964 \nL 283.635212 165.622505 \nL 287.951998 160.543378 \nL 292.254581 154.930297 \nL 296.472512 148.821593 \nL 300.522716 142.28283 \nL 304.310092 135.410624 \nL 307.72915 128.334813 \nL 310.666982 121.217979 \nL 313.007715 114.251413 \nL 314.638457 107.646847 \nL 315.456449 101.623856 \nL 315.376987 96.393683 \nL 314.341285 92.141169 \nL 312.323277 89.007252 \nL 309.334293 87.075022 \nL 305.424722 86.362045 \nL 300.682187 86.820387 \nL 295.22615 88.344622 \nL 289.199746 90.78607 \nL 282.759796 93.970555 \nL 276.066385 97.716466 \nL 269.273304 101.850395 \nL 262.520285 106.218519 \nL 255.92755 110.693129 \nL 249.592853 115.174796 \nL 243.590681 119.591096 \nL 237.973207 123.893238 \nL 232.772422 128.051639 \nL 228.002974 132.05133 \nL 223.665254 135.887807 \nL 219.74846 139.563523 \nL 216.233414 143.085167 \nL 213.095024 146.461645 \nL 210.304375 149.702696 \nL 207.830408 152.817994 \nL 205.641245 155.816613 \nL 203.705199 158.706747 \nL 201.991503 161.495591 \nL 199.115542 166.793311 \nL 196.800569 171.74888 \nL 193.990992 178.59775 \nL 190.752394 186.714434 \nL 189.105374 190.349165 \nL 187.321208 193.695898 \nL 185.320365 196.740231 \nL 184.214489 198.141618 \nL 183.025291 199.456915 \nL 181.742754 200.68069 \nL 180.356532 201.806315 \nL 178.855881 202.825775 \nL 177.229595 203.729449 \nL 175.465962 204.505841 \nL 173.552744 205.141303 \nL 171.477178 205.619699 \nL 169.22603 205.922043 \nL 166.785683 206.02611 \nL 164.142276 205.906018 \nL 161.281951 205.531799 \nL 158.191153 204.869015 \nL 154.857077 203.878389 \nL 151.268259 202.515599 \nL 147.415331 200.731228 \nL 143.292023 198.471049 \nL 138.896379 195.676744 \nL 134.232291 192.287279 \nL 129.311328 188.241121 \nL 124.154906 183.479578 \nL 118.796739 177.9515 \nL 113.285505 171.619546 \nL 107.687606 164.468149 \nL 102.089736 156.512986 \nL 96.600887 147.811506 \nL 91.353363 138.473423 \nL 86.502028 128.669546 \nL 82.221245 118.636662 \nL 78.69877 108.675587 \nL 76.126183 99.139991 \nL 74.685969 90.41403 \nL 74.535887 82.879519 \nL 75.792254 76.875514 \nL 78.514575 72.657077 \nL 82.694171 70.361249 \nL 88.249507 69.988679 \nL 95.029777 71.405916 \nL 102.826682 74.368356 \nL 111.392736 78.558373 \nL 120.462905 83.629494 \nL 129.775998 89.247121 \nL 139.092734 95.118768 \nL 156.960052 106.754328 \nL 172.931157 117.398592 \nL 186.501838 126.678605 \nL 197.636473 134.642987 \nL 206.577654 141.494386 \nL 213.695847 147.445875 \nL 219.392909 152.665769 \nL 224.049253 157.267353 \nL 231.527703 164.837736 \nL 234.864989 167.83051 \nL 236.522488 169.120677 \nL 238.199747 170.266421 \nL 239.914404 171.260862 \nL 241.682109 172.095824 \nL 243.516655 172.761804 \nL 245.430062 173.248019 \nL 247.432627 173.54242 \nL 249.532929 173.63173 \nL 251.737754 173.501542 \nL 254.051986 173.136458 \nL 256.478419 172.520337 \nL 259.017529 171.636585 \nL 261.667156 170.468625 \nL 264.42214 169.000495 \nL 267.273898 167.217619 \nL 270.209982 165.107776 \nL 273.213568 162.662278 \nL 276.262998 159.877364 \nL 279.331311 156.75576 \nL 282.385917 153.308404 \nL 285.388378 149.556162 \nL 288.294436 145.531512 \nL 291.054299 141.279878 \nL 293.613357 136.860545 \nL 295.913313 132.346706 \nL 297.8938 127.824605 \nL 299.49453 123.391386 \nL 300.657884 119.151655 \nL 301.331882 115.212769 \nL 301.473285 111.679128 \nL 301.05066 108.645868 \nL 300.04705 106.192663 \nL 298.461967 104.378367 \nL 296.312449 103.237212 \nL 293.632943 102.77699 \nL 290.474062 102.979655 \nL 286.900146 103.80409 \nL 282.985999 105.190668 \nL 278.813023 107.066913 \nL 274.465196 109.353444 \nL 270.025223 111.96965 \nL 265.571173 114.838252 \nL 261.173827 117.888857 \nL 256.894839 121.059986 \nL 252.785693 124.300089 \nL 248.887381 127.567458 \nL 245.230697 130.829555 \nL 241.836967 134.061882 \nL 238.719079 137.24664 \nL 235.882676 140.371457 \nL 233.327423 143.428121 \nL 231.048226 146.41153 \nL 229.03638 149.318805 \nL 227.280602 152.148596 \nL 225.767924 154.900544 \nL 224.484446 157.574871 \nL 223.415966 160.172099 \nL 222.548473 162.692843 \nL 221.868537 165.137675 \nL 221.3636 167.50703 \nL 221.022192 169.801124 \nL 220.834069 172.019912 \nL 220.790314 174.163053 \nL 220.883375 176.229856 \nL 221.10709 178.219251 \nL 221.456679 180.129735 \nL 221.92872 181.959325 \nL 222.52111 183.705476 \nL 223.233029 185.365026 \nL 224.064885 186.934104 \nL 225.018269 188.407992 \nL 226.0959 189.781053 \nL 227.301567 191.046543 \nL 228.64008 192.196477 \nL 230.117193 193.221445 \nL 231.739539 194.110392 \nL 233.51454 194.850413 \nL 235.450295 195.426493 \nL 237.555454 195.821266 \nL 239.839038 196.014728 \nL 242.310223 195.983984 \nL 244.978058 195.703006 \nL 247.851116 195.14243 \nL 250.93703 194.269453 \nL 254.241931 193.047841 \nL 257.769745 191.438158 \nL 261.521333 189.398264 \nL 265.493445 186.884211 \nL 269.677484 183.851626 \nL 274.058099 180.257795 \nL 278.611537 176.06448 \nL 283.303927 171.241679 \nL 288.089447 165.772381 \nL 292.908593 159.658225 \nL 297.686679 152.925923 \nL 302.332929 145.633946 \nL 306.740365 137.878749 \nL 310.787007 129.799439 \nL 314.338671 121.579457 \nL 317.253785 113.443812 \nL 319.39033 105.650582 \nL 320.614745 98.475874 \nL 320.812314 92.192933 \nL 319.898021 87.047217 \nL 317.826462 83.231 \nL 314.59927 80.861994 \nL 310.268571 79.970347 \nL 304.935491 80.497047 \nL 298.743611 82.304233 \nL 291.868189 85.195376 \nL 284.502647 88.940774 \nL 276.84442 93.303583 \nL 269.081978 98.061709 \nL 261.384554 103.023148 \nL 253.895262 108.033857 \nL 246.727688 112.97925 \nL 233.664381 122.391194 \nL 227.855189 126.7855 \nL 222.548156 130.956607 \nL 217.736998 134.908541 \nL 213.402905 138.652137 \nL 209.518073 142.201706 \nL 206.048683 145.572723 \nL 202.95734 148.780339 \nL 200.204969 151.838506 \nL 197.752265 154.759547 \nL 193.593455 160.230503 \nL 190.194186 165.256558 \nL 180.978245 179.740127 \nL 178.392544 182.990176 \nL 177.022761 184.452922 \nL 175.583055 185.799904 \nL 174.060286 187.023883 \nL 172.441822 188.116214 \nL 170.715441 189.066675 \nL 168.869272 189.863287 \nL 166.891761 190.492132 \nL 164.771692 190.937144 \nL 162.49825 191.179901 \nL 160.061153 191.199447 \nL 157.450842 190.972118 \nL 154.658756 190.471436 \nL 151.67771 189.668108 \nL 148.502364 188.530123 \nL 145.129842 187.023046 \nL 141.560465 185.110605 \nL 137.798647 182.755596 \nL 133.853948 179.921217 \nL 129.742276 176.57298 \nL 125.487225 172.681261 \nL 121.121493 168.224544 \nL 116.688317 163.193447 \nL 112.242806 157.595379 \nL 107.852971 151.459673 \nL 103.600311 144.842802 \nL 99.579608 137.833034 \nL 95.897678 130.553661 \nL 92.670798 123.163796 \nL 90.020549 115.855644 \nL 88.068051 108.84732 \nL 86.926667 102.370857 \nL 86.693651 96.655819 \nL 87.441541 91.909947 \nL 89.210228 88.299557 \nL 92.001006 85.932653 \nL 95.773602 84.848116 \nL 100.446946 85.01315 \nL 105.903887 86.329644 \nL 111.999253 88.648201 \nL 118.570261 91.786903 \nL 125.447816 95.551475 \nL 132.467189 99.753233 \nL 139.476979 104.22275 \nL 146.345585 108.818114 \nL 152.964962 113.428124 \nL 159.251917 117.971442 \nL 165.147381 122.393151 \nL 170.614281 126.659934 \nL 175.634562 130.755011 \nL 180.20586 134.673406 \nL 184.338192 138.41801 \nL 188.050872 141.996477 \nL 191.369802 145.418926 \nL 194.325197 148.696378 \nL 196.94973 151.839711 \nL 199.277082 154.859085 \nL 201.340835 157.763591 \nL 203.17367 160.56116 \nL 206.269697 165.861494 \nL 208.792225 170.801794 \nL 211.917543 177.594568 \nL 214.711981 183.685593 \nL 216.596439 187.36012 \nL 218.617378 190.715578 \nL 220.865999 193.731675 \nL 222.10291 195.102616 \nL 223.429256 196.374929 \nL 224.855922 197.541706 \nL 226.39399 198.594627 \nL 228.054806 199.523752 \nL 229.850028 200.31728 \nL 231.791643 200.961279 \nL 233.891951 201.439376 \nL 236.163508 201.732445 \nL 238.619025 201.818256 \nL 241.271188 201.671132 \nL 244.132413 201.261598 \nL 247.214506 200.556098 \nL 250.528182 199.516776 \nL 254.082468 198.101406 \nL 257.883916 196.263552 \nL 261.935612 193.95307 \nL 266.235959 191.117063 \nL 270.777216 187.701476 \nL 275.543735 183.653558 \nL 280.510008 178.925297 \nL 285.638433 173.478138 \nL 290.877012 167.288968 \nL 296.157088 160.357478 \nL 301.391372 152.714551 \nL 306.472672 144.431124 \nL 311.273706 135.626414 \nL 315.648583 126.474009 \nL 319.436514 117.203788 \nL 322.468187 108.097499 \nL 324.574979 99.476143 \nL 325.600818 91.678401 \nL 325.41583 85.031179 \nL 323.93029 79.815567 \nL 321.106775 76.233784 \nL 316.968394 74.383908 \nL 311.601119 74.248148 \nL 305.149225 75.697975 \nL 297.804224 78.515154 \nL 289.788876 82.423843 \nL 281.338885 87.126495 \nL 272.685128 92.33652 \nL 264.038776 97.802358 \nL 247.456404 108.742766 \nL 232.604061 118.93079 \nL 219.945457 127.996295 \nL 214.465411 132.10077 \nL 209.528312 135.940469 \nL 205.101758 139.536931 \nL 201.146055 142.912494 \nL 197.617253 146.088409 \nL 194.469496 149.083755 \nL 189.134144 154.595658 \nL 184.789816 159.54698 \nL 174.805216 171.480728 \nL 171.744962 174.496402 \nL 170.168013 175.808564 \nL 168.537342 176.98142 \nL 166.837906 178.006622 \nL 165.055961 178.874387 \nL 163.178971 179.573401 \nL 161.195558 180.090736 \nL 159.095501 180.411806 \nL 156.869798 180.520291 \nL 154.510778 180.39816 \nL 152.012276 180.025711 \nL 149.369906 179.381699 \nL 146.581386 178.443602 \nL 143.646968 177.188016 \nL 140.569947 175.591244 \nL 137.357258 173.630141 \nL 134.020164 171.283224 \nL 130.575004 168.532113 \nL 127.043969 165.363351 \nL 123.455918 161.770528 \nL 119.847088 157.756798 \nL 116.261694 153.337602 \nL 112.752289 148.543469 \nL 109.379741 143.422618 \nL 106.212736 138.043065 \nL 103.326598 132.493762 \nL 100.801402 126.884269 \nL 98.719201 121.342553 \nL 97.160465 116.010578 \nL 96.199796 111.037535 \nL 95.901151 106.571162 \nL 96.313031 102.747613 \nL 97.464079 99.681183 \nL 99.359632 97.455183 \nL 101.979751 96.115328 \nL 105.27914 95.666796 \nL 109.189029 96.075338 \nL 113.620931 97.272445 \nL 118.471873 99.163387 \nL 123.630472 101.637117 \nL 128.983212 104.576145 \nL 134.420241 107.865508 \nL 139.840213 111.399526 \nL 145.153852 115.086324 \nL 150.286153 118.849948 \nL 155.177307 122.630585 \nL 159.782534 126.383417 \nL 164.071122 130.076649 \nL 168.0249 133.68915 \nL 171.636429 137.208095 \nL 174.907098 140.626835 \nL 177.84524 143.943089 \nL 180.464421 147.157489 \nL 182.781903 150.272487 \nL 184.817346 153.291528 \nL 186.591725 156.218525 \nL 188.12646 159.057476 \nL 189.442746 161.812252 \nL 190.561036 164.486469 \nL 191.500681 167.083423 \nL 192.279675 169.606098 \nL 193.420072 174.439015 \nL 194.09495 179.003354 \nL 194.391775 183.313579 \nL 194.374502 187.381209 \nL 194.086166 191.215229 \nL 193.55158 194.822095 \nL 192.779696 198.205481 \nL 191.765444 201.36563 \nL 190.490933 204.298314 \nL 188.926039 206.993289 \nL 188.021949 208.246253 \nL 187.028406 209.432046 \nL 185.938124 210.546541 \nL 184.742973 211.584625 \nL 183.433945 212.540021 \nL 182.001124 213.405077 \nL 180.43365 214.170522 \nL 178.719702 214.825172 \nL 176.846477 215.35558 \nL 174.800203 215.745671 \nL 172.56616 215.976273 \nL 170.128756 216.024628 \nL 167.471639 215.863841 \nL 164.577881 215.462262 \nL 161.430266 214.782867 \nL 158.011686 213.782641 \nL 154.305685 212.412003 \nL 150.29723 210.614382 \nL 145.973699 208.32604 \nL 141.32619 205.476314 \nL 136.351198 201.988519 \nL 131.052691 197.781771 \nL 125.444684 192.774109 \nL 119.554292 186.887338 \nL 113.425235 180.054037 \nL 107.12169 172.227029 \nL 100.73227 163.391558 \nL 94.373692 153.579812 \nL 88.193497 142.886903 \nL 82.37106 131.48629 \nL 77.115724 119.641562 \nL 72.660993 107.710318 \nL 69.253797 96.135374 \nL 67.138378 85.419368 \nL 66.535268 76.08126 \nL 67.617354 68.598017 \nL 70.486217 63.340415 \nL 75.153259 60.516657 \nL 81.530172 60.138601 \nL 89.4317 62.021136 \nL 98.591505 65.816196 \nL 108.688498 71.072516 \nL 119.378516 77.305145 \nL 130.325527 84.057912 \nL 171.432031 109.994234 \nL 188.241875 120.310054 \nL 217.831173 138.350891 \nL 228.946282 145.508979 \nL 241.263654 153.656835 \nL 245.045613 155.836214 \nL 246.820927 156.705705 \nL 248.550775 157.426833 \nL 250.254654 157.996966 \nL 251.948937 158.412601 \nL 253.64707 158.669569 \nL 255.359738 158.763236 \nL 257.094988 158.688743 \nL 258.858336 158.441201 \nL 260.652825 158.015996 \nL 262.479058 157.409034 \nL 264.335214 156.617104 \nL 266.217047 155.638223 \nL 268.117844 154.472032 \nL 270.028429 153.120248 \nL 271.937149 151.587127 \nL 273.829897 149.879906 \nL 275.690166 148.009292 \nL 277.499172 145.989836 \nL 279.236047 143.840286 \nL 280.878118 141.583799 \nL 282.401304 139.247964 \nL 283.780614 136.864672 \nL 284.99076 134.46969 \nL 286.006884 132.101992 \nL 286.805386 129.802823 \nL 287.364793 127.61448 \nL 287.666696 125.578892 \nL 287.69662 123.736091 \nL 287.444832 122.122615 \nL 286.90701 120.770002 \nL 286.084723 119.703486 \nL 284.98565 118.94101 \nL 283.62355 118.492648 \nL 282.017925 118.36046 \nL 280.193466 118.538798 \nL 278.17919 119.015041 \nL 276.007472 119.770622 \nL 273.712937 120.782298 \nL 271.331291 122.023547 \nL 268.898249 123.465871 \nL 266.448486 125.080082 \nL 264.014792 126.837358 \nL 261.627366 128.710074 \nL 259.313312 130.672434 \nL 257.096329 132.700844 \nL 254.99656 134.774106 \nL 253.030627 136.87343 \nL 251.211761 138.982358 \nL 249.550045 141.086561 \nL 248.052728 143.173597 \nL 246.724564 145.232675 \nL 245.568196 147.254361 \nL 244.584513 149.230324 \nL 243.773011 151.153087 \nL 243.132132 153.015814 \nL 242.659543 154.812123 \nL 242.352419 156.535878 \nL 242.207654 158.181064 \nL 242.222049 159.741639 \nL 242.392457 161.211409 \nL 242.715898 162.583914 \nL 243.189627 163.852344 \nL 243.811183 165.009443 \nL 244.578396 166.047429 \nL 245.489367 166.957926 \nL 246.542426 167.731903 \nL 247.736052 168.359637 \nL 249.068763 168.830693 \nL 250.538997 169.133913 \nL 252.144925 169.257445 \nL 253.884277 169.188839 \nL 255.754102 168.91515 \nL 257.750514 168.423133 \nL 259.868384 167.699519 \nL 262.101022 166.731361 \nL 264.439823 165.506527 \nL 266.873872 164.014276 \nL 269.389553 162.246002 \nL 271.97016 160.196093 \nL 274.595514 157.862933 \nL 277.241617 155.250008 \nL 279.880411 152.367103 \nL 282.479626 149.231477 \nL 285.00283 145.868988 \nL 287.409637 142.315001 \nL 289.65624 138.614941 \nL 291.696204 134.824384 \nL 293.481618 131.008483 \nL 294.964558 127.240595 \nL 296.098923 123.600101 \nL 296.842459 120.169364 \nL 297.158957 117.030004 \nL 297.02042 114.258694 \nL 296.40906 111.92291 \nL 295.318895 110.076948 \nL 293.756767 108.758813 \nL 291.742669 107.988177 \nL 289.309271 107.765808 \nL 286.500654 108.074479 \nL 283.370363 108.88114 \nL 279.978947 110.140179 \nL 276.391191 111.797234 \nL 272.673258 113.79314 \nL 268.890051 116.067623 \nL 265.102883 118.562365 \nL 261.367634 121.223362 \nL 257.733446 124.002457 \nL 254.241968 126.858088 \nL 250.927081 129.755451 \nL 247.815028 132.666187 \nL 244.924892 135.567763 \nL 242.269281 138.442653 \nL 239.85515 141.277528 \nL 237.684695 144.062416 \nL 235.756253 146.789969 \nL 234.065143 149.454795 \nL 232.604463 152.052954 \nL 231.365787 154.581499 \nL 230.339761 157.038123 \nL 229.516628 159.420902 \nL 228.886641 161.728078 \nL 228.440404 163.957914 \nL 228.169133 166.108541 \nL 228.064856 168.177864 \nL 228.120561 170.163456 \nL 228.330283 172.062508 \nL 228.689176 173.871693 \nL 229.19353 175.587134 \nL 229.840779 177.204285 \nL 230.629479 178.71783 \nL 231.559272 180.121583 \nL 232.63083 181.408358 \nL 233.845793 182.569867 \nL 235.206679 183.59653 \nL 236.716788 184.477377 \nL 238.380078 185.199855 \nL 240.20102 185.749669 \nL 242.184422 186.110652 \nL 244.335217 186.264586 \nL 246.658205 186.191127 \nL 249.157743 185.867724 \nL 251.83736 185.269624 \nL 254.699303 184.370004 \nL 257.74399 183.140231 \nL 260.969367 181.550347 \nL 264.37015 179.569778 \nL 267.936965 177.16844 \nL 271.655365 174.318184 \nL 275.504778 170.994735 \nL 279.457371 167.180193 \nL 283.476934 162.866011 \nL 287.517837 158.056498 \nL 291.524167 152.772647 \nL 295.42925 147.056113 \nL 299.155691 140.972804 \nL 302.616165 134.615652 \nL 305.715148 128.105779 \nL 308.351795 121.591335 \nL 310.423999 115.243342 \nL 311.833661 109.248139 \nL 312.492841 103.796417 \nL 312.33043 99.069668 \nL 311.298557 95.225355 \nL 309.378078 92.382952 \nL 306.582183 90.612987 \nL 302.957499 89.931114 \nL 298.582363 90.298385 \nL 293.562271 91.627594 \nL 288.023048 93.794703 \nL 282.102556 96.652965 \nL 275.942057 100.047566 \nL 269.678158 103.828494 \nL 263.436139 107.860244 \nL 257.325176 112.02784 \nL 251.435495 116.239253 \nL 245.837395 120.425041 \nL 240.581726 124.536062 \nL 235.701464 128.540187 \nL 231.213943 132.41867 \nL 227.123401 136.162718 \nL 223.42358 139.770486 \nL 220.100176 143.244681 \nL 217.133038 146.590722 \nL 214.498057 149.815402 \nL 212.168738 152.925991 \nL 210.117458 155.929668 \nL 208.316447 158.833158 \nL 206.73852 161.642596 \nL 205.357603 164.363441 \nL 203.090075 169.558025 \nL 201.337841 174.448603 \nL 199.953522 179.059467 \nL 198.310044 185.491506 \nL 195.540643 196.771219 \nL 194.543602 200.092954 \nL 193.426263 203.20242 \nL 192.141665 206.098395 \nL 190.640683 208.774568 \nL 188.8694 211.217725 \nL 187.863627 212.345281 \nL 186.76664 213.40512 \nL 185.56927 214.392281 \nL 184.261606 215.300659 \nL 182.832926 216.122786 \nL 181.271644 216.849571 \nL 179.565255 217.470016 \nL 177.70029 217.970863 \nL 175.662311 218.336195 \nL 173.435905 218.546978 \nL 171.004732 218.580533 \nL 168.351624 218.40995 \nL 165.45874 218.00344 \nL 162.307823 217.323665 \nL 158.880575 216.327036 \nL 155.159191 214.963068 \nL 151.127092 213.17383 \nL 146.769902 210.893647 \nL 142.076761 208.049193 \nL 137.041997 204.560224 \nL 131.66725 200.341218 \nL 125.964127 195.30438 \nL 119.957346 189.364384 \nL 113.688448 182.445404 \nL 107.219915 174.490839 \nL 100.639525 165.476039 \nL 94.064436 155.423758 \nL 87.644523 144.421571 \nL 81.563901 132.639219 \nL 76.039635 120.342644 \nL 71.316271 107.90008 \nL 67.655074 95.774921 \nL 65.317302 84.500361 \nL 64.541955 74.63386 \nL 65.519781 66.694069 \nL 68.367184 61.089857 \nL 73.104854 58.056393 \nL 79.646229 57.615448 \nL 87.799551 59.572561 \nL 97.284496 63.553248 \nL 107.760573 69.069022 \nL 118.861805 75.594737 \nL 130.230893 82.638163 \nL 163.02064 103.282705 \nL 181.902762 114.775294 \nL 197.688329 124.058554 \nL 231.964053 143.9796 \nL 242.360594 150.129431 \nL 246.361752 152.255824 \nL 249.930192 153.80436 \nL 251.614544 154.36424 \nL 253.258355 154.78014 \nL 254.877068 155.050343 \nL 256.483114 155.172661 \nL 258.086106 155.144711 \nL 259.692993 154.964109 \nL 261.308199 154.628735 \nL 262.933727 154.136991 \nL 264.569245 153.48805 \nL 266.212152 152.682157 \nL 267.857652 151.720938 \nL 269.498812 150.607699 \nL 271.126614 149.347737 \nL 272.730068 147.948658 \nL 274.296313 146.420655 \nL 275.810784 144.776743 \nL 277.257404 143.032916 \nL 278.618853 141.208256 \nL 279.876908 139.324876 \nL 281.012828 137.407735 \nL 282.007833 135.48434 \nL 282.843619 133.584221 \nL 283.502962 131.738292 \nL 283.970304 129.978017 \nL 284.232384 128.334506 \nL 284.278813 126.837503 \nL 284.102629 125.51437 \nL 283.70073 124.389108 \nL 283.074176 123.481516 \nL 282.228371 122.806522 \nL 281.173054 122.373737 \nL 279.922107 122.187273 \nL 278.493207 122.245839 \nL 276.907332 122.543078 \nL 275.188117 123.068129 \nL 273.361169 123.806355 \nL 271.453286 124.740162 \nL 269.491711 125.849855 \nL 267.503418 127.114465 \nL 263.549474 130.022697 \nL 259.779918 133.297825 \nL 256.348794 136.788709 \nL 253.371039 140.366732 \nL 250.923783 143.926281 \nL 249.051695 147.381507 \nL 248.338189 149.047388 \nL 247.77422 150.661446 \nL 247.359523 152.216305 \nL 247.093151 153.704882 \nL 246.973667 155.120299 \nL 246.999273 156.455753 \nL 247.167955 157.704402 \nL 247.477556 158.859297 \nL 247.925849 159.913295 \nL 248.510581 160.858997 \nL 249.22947 161.688695 \nL 250.080196 162.394348 \nL 251.060354 162.967532 \nL 252.167387 163.399487 \nL 253.398496 163.681098 \nL 254.750504 163.802972 \nL 256.219735 163.755531 \nL 257.801826 163.529146 \nL 259.491547 163.114297 \nL 261.282585 162.50185 \nL 263.167306 161.683329 \nL 265.136516 160.651316 \nL 267.179204 159.399899 \nL 269.282294 157.925216 \nL 271.430398 156.226036 \nL 273.605603 154.30446 \nL 275.787311 152.166617 \nL 277.952142 149.823382 \nL 280.073922 147.291086 \nL 282.1238 144.592082 \nL 284.070514 141.75519 \nL 285.880831 138.815889 \nL 287.520162 135.816176 \nL 288.953401 132.804023 \nL 290.145938 129.832414 \nL 291.064858 126.957865 \nL 291.680254 124.238524 \nL 291.966607 121.731913 \nL 291.904132 119.492404 \nL 291.480019 117.568667 \nL 290.689417 116.001281 \nL 289.536082 114.820803 \nL 288.032659 114.046373 \nL 286.200454 113.685048 \nL 284.068781 113.732045 \nL 281.673903 114.171605 \nL 279.057568 114.978625 \nL 276.265383 116.120618 \nL 273.345019 117.560037 \nL 270.344483 119.2565 \nL 267.310522 121.168864 \nL 264.287209 123.256985 \nL 261.314867 125.483088 \nL 258.429295 127.812659 \nL 255.661286 130.215006 \nL 253.036451 132.663427 \nL 250.575277 135.135132 \nL 248.293412 137.610973 \nL 246.202047 140.075056 \nL 244.308441 142.514299 \nL 242.616465 144.917945 \nL 241.127179 147.277158 \nL 239.839382 149.584582 \nL 238.750157 151.833986 \nL 237.855333 154.019979 \nL 237.14992 156.137708 \nL 236.628481 158.182661 \nL 236.285433 160.150464 \nL 236.115306 162.036724 \nL 236.112952 163.836903 \nL 236.273685 165.546175 \nL 236.593408 167.159326 \nL 237.068674 168.670641 \nL 237.696739 170.073813 \nL 238.475556 171.361836 \nL 239.403758 172.526908 \nL 240.480616 173.56033 \nL 241.705961 174.452414 \nL 243.080079 175.192391 \nL 244.603591 175.768352 \nL 246.277296 176.167154 \nL 248.10197 176.374399 \nL 250.078152 176.374442 \nL 252.205859 176.150423 \nL 254.484285 175.6844 \nL 256.911433 174.957547 \nL 259.483691 173.950485 \nL 262.195352 172.643758 \nL 265.038098 171.018481 \nL 268.000388 169.057198 \nL 271.066871 166.744981 \nL 274.217711 164.070765 \nL 277.427952 161.028978 \nL 280.666939 157.621372 \nL 283.897825 153.859055 \nL 287.077255 149.764577 \nL 290.155327 145.373903 \nL 293.075898 140.738096 \nL 295.777345 135.924362 \nL 298.19386 131.016173 \nL 300.257371 126.112129 \nL 301.900049 121.323319 \nL 303.05739 116.769064 \nL 303.671742 112.571066 \nL 303.695948 108.84638 \nL 303.096962 105.699851 \nL 301.858863 103.216671 \nL 299.985064 101.456327 \nL 297.499247 100.448487 \nL 294.444952 100.191665 \nL 290.883684 100.654741 \nL 286.891727 101.781148 \nL 282.555999 103.495042 \nL 277.969373 105.70843 \nL 273.225927 108.328344 \nL 268.416578 111.263288 \nL 263.625452 114.428171 \nL 258.92716 117.747766 \nL 254.385082 121.158439 \nL 250.05058 124.608555 \nL 245.963022 128.057903 \nL 242.150441 131.47642 \nL 238.630613 134.842618 \nL 235.412419 138.141919 \nL 232.497293 141.365086 \nL 229.880693 144.506839 \nL 227.553475 147.564716 \nL 225.503145 150.538153 \nL 223.714943 153.427817 \nL 222.172773 156.235067 \nL 220.859957 158.96162 \nL 219.759849 161.609297 \nL 218.856305 164.179873 \nL 218.134041 166.674974 \nL 217.578886 169.096017 \nL 217.17796 171.44419 \nL 216.919785 173.7204 \nL 216.794335 175.925303 \nL 216.793066 178.05925 \nL 216.908898 180.122301 \nL 217.136186 182.114191 \nL 217.470683 184.034288 \nL 217.909481 185.881583 \nL 218.450971 187.654616 \nL 219.094775 189.351421 \nL 219.841706 190.969477 \nL 220.693721 192.505589 \nL 221.653876 193.9558 \nL 222.726284 195.315274 \nL 223.916083 196.578141 \nL 225.229404 197.737343 \nL 226.67333 198.78445 \nL 228.255857 199.70943 \nL 229.985847 200.50042 \nL 231.87296 201.143449 \nL 233.927568 201.622128 \nL 236.160646 201.917328 \nL 238.583604 202.006835 \nL 241.20808 201.864996 \nL 244.045658 201.46237 \nL 247.107483 200.765428 \nL 250.403788 199.736334 \nL 253.943249 198.332854 \nL 257.732198 196.508518 \nL 261.773631 194.213071 \nL 266.065973 191.393431 \nL 270.601602 187.995245 \nL 275.365108 183.965297 \nL 280.331307 179.254955 \nL 285.462997 173.824791 \nL 290.708648 167.650591 \nL 296.000112 160.73068 \nL 301.250606 153.09434 \nL 306.353373 144.810734 \nL 311.181441 135.99724 \nL 315.589018 126.82578 \nL 319.415099 117.524952 \nL 322.489743 108.375922 \nL 324.643245 99.700119 \nL 325.717948 91.837847 \nL 325.581958 85.1189 \nL 324.143195 79.82835 \nL 321.361769 76.173065 \nL 317.25845 74.255787 \nL 311.917269 74.062727 \nL 305.481221 75.468103 \nL 298.141307 78.25488 \nL 290.120576 82.146787 \nL 281.655732 86.84462 \nL 272.979153 92.059293 \nL 264.303818 97.536461 \nL 247.652399 108.509323 \nL 232.726804 118.730509 \nL 219.999529 127.822229 \nL 214.488385 131.93648 \nL 209.522706 135.7838 \nL 205.070162 139.385894 \nL 201.091018 142.765336 \nL 197.541204 145.943592 \nL 194.374696 148.939963 \nL 189.007831 154.450679 \nL 184.638569 159.397413 \nL 174.60386 171.302245 \nL 171.531537 174.303529 \nL 169.949048 175.607522 \nL 168.313119 176.771509 \nL 166.608696 177.787116 \nL 164.822041 178.644516 \nL 162.940653 179.33237 \nL 160.953205 179.837734 \nL 158.849552 180.146004 \nL 156.620798 180.240885 \nL 154.259398 180.104374 \nL 151.759345 179.716834 \nL 149.116445 179.057143 \nL 146.328639 178.102948 \nL 143.396435 176.831083 \nL 140.323413 175.218188 \nL 137.116837 173.241533 \nL 133.788318 170.880167 \nL 130.354554 168.116367 \nL 126.838114 164.937462 \nL 123.268219 161.337949 \nL 119.681441 157.322006 \nL 116.122276 152.906167 \nL 112.643445 148.122074 \nL 109.305863 143.019014 \nL 106.178067 137.665898 \nL 103.335025 132.152295 \nL 100.856176 126.58797 \nL 98.822655 121.100548 \nL 97.313723 115.831001 \nL 96.402496 110.926863 \nL 96.151235 106.533531 \nL 96.606633 102.784339 \nL 97.79552 99.790454 \nL 99.721552 97.632043 \nL 102.363412 96.352018 \nL 105.67484 95.953353 \nL 109.586603 96.400433 \nL 114.01027 97.62425 \nL 118.843456 99.530471 \nL 123.975783 102.009157 \nL 129.295067 104.944442 \nL 134.692992 108.22321 \nL 140.069801 111.741693 \nL 145.337748 115.409743 \nL 150.423217 119.152911 \nL 155.267587 122.912562 \nL 159.827037 126.644759 \nL 164.07157 130.31827 \nL 167.983518 133.912314 \nL 171.555748 137.414229 \nL 174.789771 140.8174 \nL 177.693924 144.119487 \nL 180.281656 147.321002 \nL 182.570041 150.424251 \nL 184.578493 153.432534 \nL 186.327701 156.349602 \nL 187.838782 159.179316 \nL 189.132611 161.925411 \nL 190.229324 164.591381 \nL 191.147956 167.180423 \nL 191.906193 169.695425 \nL 193.004656 174.513329 \nL 193.635147 179.06256 \nL 193.882962 183.356926 \nL 193.80994 187.407219 \nL 193.456973 191.221544 \nL 192.846605 194.805258 \nL 191.985313 198.160566 \nL 190.865234 201.285733 \nL 189.465286 204.173825 \nL 187.751672 206.810871 \nL 186.763198 208.028331 \nL 185.677825 209.173216 \nL 184.487652 210.240437 \nL 183.183903 211.223762 \nL 181.756894 212.115589 \nL 180.196008 212.906716 \nL 178.489677 213.586055 \nL 176.625376 214.140295 \nL 174.589624 214.553533 \nL 172.368025 214.806835 \nL 169.945338 214.877744 \nL 167.305592 214.739754 \nL 164.432279 214.361725 \nL 161.308638 213.707276 \nL 157.918036 212.734201 \nL 154.244536 211.393931 \nL 150.273627 209.631131 \nL 145.993214 207.383564 \nL 141.394881 204.582355 \nL 136.475547 201.152895 \nL 131.239471 197.016646 \nL 125.700773 192.094201 \nL 119.886356 186.309993 \nL 113.839322 179.599061 \nL 107.622665 171.916221 \nL 101.323104 163.247749 \nL 95.054561 153.625313 \nL 88.96081 143.141264 \nL 83.216376 131.96337 \nL 78.024751 120.346113 \nL 73.612813 108.634435 \nL 70.220575 97.255594 \nL 68.085755 86.695223 \nL 67.423732 77.456217 \nL 68.404534 70.003462 \nL 71.130098 64.702521 \nL 75.615944 61.765202 \nL 81.781419 61.21591 \nL 89.451789 62.889046 \nL 98.372713 66.459379 \nL 108.23495 71.497602 \nL 118.7046 77.536452 \nL 129.453235 84.131192 \nL 186.725505 120.192743 \nL 211.566179 135.594653 \nL 220.349135 141.269966 \nL 230.268791 148.032226 \nL 239.644049 154.572741 \nL 243.439407 156.933218 \nL 245.225395 157.892746 \nL 246.969339 158.703064 \nL 248.691386 159.361063 \nL 250.408605 159.86265 \nL 252.135183 160.202946 \nL 253.882585 160.376482 \nL 255.659676 160.377388 \nL 257.472806 160.199622 \nL 259.325871 159.837212 \nL 261.220322 159.284545 \nL 263.155155 158.536672 \nL 265.126875 157.589697 \nL 267.129458 156.441219 \nL 269.154257 155.090776 \nL 271.189984 153.540386 \nL 273.222647 151.795081 \nL 275.235567 149.863457 \nL 277.209428 147.758212 \nL 279.122405 145.49664 \nL 280.950405 143.100967 \nL 282.66739 140.598577 \nL 284.245876 138.022028 \nL 285.657523 135.408744 \nL 286.873911 132.800476 \nL 287.867412 130.242349 \nL 288.612193 127.781642 \nL 289.085259 125.466212 \nL 289.267537 123.342732 \nL 289.144883 121.454789 \nL 288.708982 119.841014 \nL 287.958018 118.533364 \nL 286.89714 117.555747 \nL 285.538541 116.923092 \nL 283.901254 116.640943 \nL 282.010587 116.705662 \nL 279.897257 117.105062 \nL 277.596294 117.819644 \nL 275.145769 118.824032 \nL 272.585437 120.08859 \nL 269.955403 121.581115 \nL 267.294898 123.268393 \nL 264.641183 125.117508 \nL 262.028687 127.096948 \nL 259.488356 129.17738 \nL 257.047238 131.332116 \nL 254.728293 133.537378 \nL 252.550388 135.772316 \nL 250.528448 138.0189 \nL 248.673732 140.261682 \nL 246.994197 142.487477 \nL 245.494902 144.685057 \nL 244.178456 146.844835 \nL 243.045447 148.958523 \nL 242.094867 151.018848 \nL 241.324503 153.0193 \nL 240.731285 154.953915 \nL 240.311604 156.817035 \nL 240.061564 158.603167 \nL 239.977219 160.306816 \nL 240.054741 161.922369 \nL 240.290549 163.443946 \nL 240.681417 164.86531 \nL 241.224538 166.17977 \nL 241.917536 167.380072 \nL 242.758483 168.458329 \nL 243.74585 169.405936 \nL 244.878463 170.213503 \nL 246.155401 170.870785 \nL 247.575885 171.366655 \nL 249.139127 171.689084 \nL 250.844154 171.825142 \nL 252.689589 171.761082 \nL 254.673401 171.482403 \nL 256.792626 170.974074 \nL 259.043024 170.220758 \nL 261.41872 169.20721 \nL 263.911797 167.91876 \nL 266.511849 166.341959 \nL 269.205513 164.465389 \nL 271.975995 162.280634 \nL 274.802583 159.783432 \nL 277.660243 156.975002 \nL 280.519227 153.863464 \nL 283.344868 150.4653 \nL 286.097497 146.806811 \nL 288.732648 142.925337 \nL 291.201544 138.870105 \nL 293.451961 134.702535 \nL 295.429472 130.495762 \nL 297.07917 126.333148 \nL 298.347755 122.305815 \nL 299.185984 118.509003 \nL 299.551303 115.03755 \nL 299.410529 111.980758 \nL 298.742285 109.416983 \nL 297.539011 107.40879 \nL 295.80826 105.998936 \nL 293.573082 105.207997 \nL 290.871473 105.0337 \nL 287.754762 105.452275 \nL 284.285225 106.421372 \nL 280.532993 107.884324 \nL 276.572662 109.775044 \nL 272.479851 112.02297 \nL 268.32803 114.557539 \nL 264.185807 117.311811 \nL 260.114855 120.225085 \nL 256.168541 123.244433 \nL 252.391173 126.325321 \nL 248.817875 129.43151 \nL 245.474917 132.534392 \nL 242.380406 135.612067 \nL 239.545198 138.648249 \nL 236.973959 141.631205 \nL 234.666236 144.552733 \nL 232.617525 147.407312 \nL 230.820249 150.191338 \nL 229.264648 152.90257 \nL 227.939549 155.539651 \nL 226.833029 158.101768 \nL 225.932945 160.588392 \nL 225.227377 162.999079 \nL 224.704972 165.33335 \nL 224.355196 167.590564 \nL 224.168533 169.76985 \nL 224.136607 171.870037 \nL 224.252272 173.889578 \nL 224.509663 175.826508 \nL 224.904201 177.678375 \nL 225.432599 179.442162 \nL 226.092832 181.114213 \nL 226.884108 182.690126 \nL 227.806814 184.164673 \nL 228.86247 185.531658 \nL 230.053659 186.783784 \nL 231.383964 187.912523 \nL 232.857874 188.907904 \nL 234.480707 189.758379 \nL 236.258476 190.450587 \nL 238.197766 190.969157 \nL 240.305566 191.296499 \nL 242.589056 191.412601 \nL 245.05535 191.294837 \nL 247.711183 190.917828 \nL 250.562503 190.253374 \nL 253.613988 189.270485 \nL 256.868452 187.935603 \nL 260.326111 186.212993 \nL 263.983728 184.065502 \nL 267.833608 181.455679 \nL 271.862404 178.347405 \nL 276.04985 174.708116 \nL 280.367317 170.511716 \nL 284.776367 165.742269 \nL 289.227329 160.398374 \nL 293.658068 154.498136 \nL 297.993151 148.08446 \nL 302.143624 141.230062 \nL 306.007707 134.041546 \nL 309.472719 126.661541 \nL 312.418445 119.267762 \nL 314.722161 112.068035 \nL 316.265296 105.290556 \nL 316.941337 99.169334 \nL 316.664544 93.925968 \nL 315.378343 89.749605 \nL 313.06243 86.77821 \nL 309.737295 85.084482 \nL 305.465279 84.66912 \nL 300.34771 85.463032 \nL 294.51826 87.338081 \nL 288.133424 90.124226 \nL 281.361404 93.629567 \nL 274.37088 97.659831 \nL 267.321066 102.034364 \nL 260.353994 106.597002 \nL 253.589452 111.221589 \nL 247.122578 115.812835 \nL 241.023711 120.303876 \nL 235.339959 124.651929 \nL 230.097876 128.833162 \nL 225.306677 132.837732 \nL 220.961629 136.665433 \nL 217.047273 140.322162 \nL 213.54033 143.817241 \nL 210.412195 147.161539 \nL 207.630988 150.366198 \nL 205.163199 153.441839 \nL 202.974947 156.398136 \nL 201.032918 159.243607 \nL 197.760886 164.630303 \nL 195.112009 169.647497 \nL 191.872164 176.54409 \nL 188.097304 184.638677 \nL 186.164737 188.217871 \nL 184.066971 191.47062 \nL 182.927795 192.96746 \nL 181.713849 194.372482 \nL 180.414301 195.680346 \nL 179.018262 196.88454 \nL 177.514688 197.977203 \nL 175.892306 198.948924 \nL 174.13956 199.788508 \nL 172.24458 200.482724 \nL 170.195189 201.016008 \nL 167.978945 201.370155 \nL 165.583234 201.523974 \nL 162.995415 201.452954 \nL 160.203049 201.128919 \nL 157.194204 200.519723 \nL 153.957898 199.589009 \nL 150.484644 198.296103 \nL 146.767184 196.596098 \nL 142.801411 194.440242 \nL 138.587493 191.776749 \nL 134.131282 188.552185 \nL 129.445934 184.713649 \nL 124.553813 180.21185 \nL 119.488641 175.005432 \nL 114.297734 169.066504 \nL 109.044294 162.387538 \nL 103.809454 154.989401 \nL 98.693795 146.930052 \nL 93.817869 138.312977 \nL 89.321264 129.294007 \nL 85.35963 120.0846 \nL 82.099205 110.949558 \nL 79.708511 102.197091 \nL 78.347351 94.160163 \nL 78.153736 87.169527 \nL 79.230009 81.520985 \nL 81.630056 77.441896 \nL 85.349796 75.063166 \nL 90.322941 74.403116 \nL 96.4234 75.367309 \nL 103.47431 77.764752 \nL 111.262595 81.33681 \nL 119.55661 85.792228 \nL 128.124145 90.840961 \nL 136.748239 96.221027 \nL 145.238993 101.715251 \nL 161.234493 112.433854 \nL 175.299168 122.232031 \nL 187.129693 130.894743 \nL 192.214533 134.816318 \nL 196.780221 138.489974 \nL 200.864103 141.937664 \nL 204.508676 145.1808 \nL 207.759048 148.238967 \nL 213.259651 153.866096 \nL 217.718253 158.923656 \nL 223.134782 165.575261 \nL 227.794753 171.173244 \nL 230.821171 174.307733 \nL 232.371904 175.684186 \nL 233.970846 176.925332 \nL 235.633524 178.023413 \nL 237.374161 178.969269 \nL 239.205774 179.752218 \nL 241.140248 180.360008 \nL 243.188357 180.778711 \nL 245.359727 180.992663 \nL 247.662759 180.984435 \nL 250.104469 180.73485 \nL 252.690259 180.223061 \nL 255.423616 179.426739 \nL 258.30573 178.322386 \nL 261.335004 176.88583 \nL 264.506496 175.092947 \nL 267.81126 172.920617 \nL 271.235606 170.348041 \nL 274.760309 167.358368 \nL 278.359779 163.940739 \nL 282.001287 160.092658 \nL 285.644223 155.822688 \nL 289.239621 151.153334 \nL 292.729914 146.123895 \nL 296.049192 140.792937 \nL 299.123998 135.240079 \nL 301.874887 129.5665 \nL 304.218775 123.893742 \nL 306.072203 118.360358 \nL 307.355383 113.116171 \nL 307.996887 108.314263 \nL 307.938656 104.101055 \nL 307.140797 100.605711 \nL 305.585719 97.929863 \nL 303.280965 96.139373 \nL 300.260273 95.259312 \nL 296.582652 95.273086 \nL 292.329385 96.125872 \nL 287.599305 97.731692 \nL 282.502855 99.982968 \nL 277.155646 102.760943 \nL 271.672166 105.945548 \nL 266.160289 109.423512 \nL 260.716999 113.094075 \nL 255.425475 116.872251 \nL 250.35359 120.689844 \nL 245.553608 124.494799 \nL 241.062864 128.249425 \nL 236.905112 131.928055 \nL 233.092293 135.514597 \nL 229.626481 139.000174 \nL 226.501828 142.381103 \nL 223.706425 145.657248 \nL 221.223948 148.830719 \nL 219.035095 151.904942 \nL 217.118789 154.883984 \nL 215.453153 157.772111 \nL 214.016278 160.573499 \nL 212.786811 163.292088 \nL 211.744384 165.931502 \nL 210.869908 168.495029 \nL 209.555954 173.405883 \nL 208.723273 178.044715 \nL 208.27582 182.427725 \nL 208.141603 186.568079 \nL 208.270042 190.476559 \nL 208.629083 194.161785 \nL 209.202571 197.630178 \nL 209.988131 200.885619 \nL 210.995658 203.928829 \nL 212.246448 206.756351 \nL 213.772923 209.35909 \nL 215.61891 211.720162 \nL 216.678707 212.801939 \nL 217.840377 213.811838 \nL 219.11299 214.743988 \nL 220.50653 215.591198 \nL 222.031925 216.344728 \nL 223.701086 216.99399 \nL 225.526935 217.526219 \nL 227.523411 217.926093 \nL 229.705466 218.17528 \nL 232.089015 218.251923 \nL 234.690846 218.130087 \nL 237.528467 217.779123 \nL 240.619872 217.162997 \nL 243.983183 216.239615 \nL 247.636146 214.960149 \nL 251.595455 213.268501 \nL 255.875816 211.100935 \nL 260.488711 208.386084 \nL 265.440818 205.045554 \nL 270.731987 200.995351 \nL 276.352723 196.148565 \nL 282.281153 190.419715 \nL 288.479461 183.73123 \nL 294.889858 176.022542 \nL 301.430336 167.262069 \nL 307.990504 157.462021 \nL 314.4281 146.695336 \nL 320.567065 135.113018 \nL 326.19816 122.958952 \nL 331.083513 110.577911 \nL 334.966115 98.411481 \nL 337.585153 86.976962 \nL 338.697066 76.826415 \nL 338.100664 68.487447 \nL 335.663282 62.39362 \nL 331.343261 58.818638 \nL 325.203814 57.830828 \nL 317.41393 59.282022 \nL 308.234909 62.835521 \nL 297.994425 68.026115 \nL 287.053012 74.335664 \nL 275.769643 81.264761 \nL 232.958713 108.126534 \nL 215.338242 118.733764 \nL 194.658012 130.806066 \nL 176.094159 141.694377 \nL 159.949754 151.349104 \nL 156.13929 153.293417 \nL 152.671841 154.66147 \nL 151.011306 155.128784 \nL 149.376822 155.449418 \nL 147.755188 155.620988 \nL 146.136069 155.640838 \nL 144.51181 155.506215 \nL 142.877329 155.214573 \nL 141.22999 154.763768 \nL 139.569533 154.15238 \nL 137.898005 153.379958 \nL 136.219695 152.447364 \nL 134.541103 151.357067 \nL 132.870864 150.113503 \nL 131.219685 148.723388 \nL 129.600258 147.196017 \nL 128.027097 145.543568 \nL 126.516381 143.781293 \nL 125.085682 141.927666 \nL 123.753682 140.004373 \nL 122.539759 138.036229 \nL 121.46356 136.050867 \nL 120.544425 134.078297 \nL 119.800844 132.15027 \nL 119.249782 130.299471 \nL 118.906057 128.558584 \nL 118.781685 126.959249 \nL 118.885301 125.530964 \nL 119.221637 124.300046 \nL 119.791151 123.288652 \nL 120.589787 122.514008 \nL 121.608932 121.987872 \nL 122.835531 121.716217 \nL 124.252406 121.699264 \nL 125.838748 121.931784 \nL 127.570736 122.403601 \nL 129.422268 123.100359 \nL 131.365768 124.004346 \nL 133.37298 125.095437 \nL 135.41572 126.351964 \nL 139.499712 129.271979 \nL 143.418402 132.589412 \nL 147.00755 136.145244 \nL 150.143802 139.804246 \nL 152.743865 143.455968 \nL 154.759174 147.01145 \nL 155.540001 148.729916 \nL 156.168266 150.398053 \nL 156.644198 152.008419 \nL 156.968756 153.553947 \nL 157.14344 155.027793 \nL 157.170116 156.423206 \nL 157.050891 157.733428 \nL 156.787993 158.951606 \nL 156.383706 160.070681 \nL 155.840323 161.083357 \nL 155.160113 161.981994 \nL 154.345342 162.758603 \nL 153.398302 163.404785 \nL 152.321377 163.911738 \nL 151.117122 164.27026 \nL 149.788384 164.470789 \nL 148.338439 164.503481 \nL 146.771161 164.358314 \nL 145.091199 164.025247 \nL 143.304208 163.494437 \nL 141.41707 162.756527 \nL 139.438148 161.80299 \nL 137.37757 160.626579 \nL 135.247482 159.221826 \nL 133.062309 157.585655 \nL 130.839024 155.718074 \nL 128.597345 153.622886 \nL 126.359887 151.308499 \nL 124.152226 148.788653 \nL 122.002863 146.083154 \nL 119.943032 143.218432 \nL 118.006345 140.227896 \nL 116.228239 137.151998 \nL 114.645207 134.037897 \nL 113.293828 130.938655 \nL 112.20958 127.911941 \nL 111.425487 125.018226 \nL 110.970696 122.318521 \nL 110.86899 119.871775 \nL 111.137402 117.732129 \nL 111.785008 115.946236 \nL 112.812083 114.550959 \nL 114.209572 113.57154 \nL 115.959124 113.020572 \nL 118.033557 112.897852 \nL 120.397839 113.191041 \nL 123.010456 113.877101 \nL 125.82513 114.924332 \nL 128.792633 116.294743 \nL 131.862708 117.9465 \nL 134.985831 119.836289 \nL 138.114797 121.921325 \nL 141.206013 124.160954 \nL 144.220425 126.517801 \nL 147.124147 128.958471 \nL 149.888745 131.453854 \nL 152.491244 133.979083 \nL 154.913909 136.513319 \nL 157.143851 139.039318 \nL 159.172508 141.542989 \nL 160.995064 144.012874 \nL 162.60986 146.439659 \nL 164.017763 148.815722 \nL 165.221618 151.134741 \nL 166.225709 153.39134 \nL 167.035297 155.580811 \nL 167.656209 157.698856 \nL 168.094498 159.741391 \nL 168.356152 161.704366 \nL 168.446869 163.583627 \nL 168.371873 165.374775 \nL 168.135795 167.073075 \nL 167.742568 168.673333 \nL 167.195382 170.169788 \nL 166.496664 171.556016 \nL 165.648075 172.824839 \nL 164.650556 173.968198 \nL 163.504381 174.977089 \nL 162.209242 175.841436 \nL 160.764362 176.549994 \nL 159.168635 177.090272 \nL 157.420786 177.448469 \nL 155.519582 177.609427 \nL 153.464079 177.556629 \nL 151.253897 177.272241 \nL 148.889564 176.737253 \nL 146.372894 175.931703 \nL 143.707454 174.835015 \nL 140.899063 173.426528 \nL 137.956363 171.686196 \nL 134.891464 169.595545 \nL 131.720587 167.138844 \nL 128.464798 164.30461 \nL 125.150667 161.087373 \nL 121.810907 157.489697 \nL 118.484898 153.52439 \nL 115.218987 149.21678 \nL 112.066518 144.606864 \nL 109.087449 139.751055 \nL 106.347468 134.723214 \nL 103.916506 129.614616 \nL 101.866568 124.532464 \nL 100.268912 119.596727 \nL 99.190646 114.935149 \nL 98.690841 110.676603 \nL 98.816568 106.943202 \nL 99.599098 103.84196 \nL 101.050768 101.456976 \nL 103.162899 99.843175 \nL 105.905072 99.02262 \nL 109.226031 98.98381 \nL 113.056103 99.684328 \nL 117.310977 101.056124 \nL 121.896426 103.012707 \nL 126.713439 105.457197 \nL 131.663303 108.289944 \nL 136.652079 111.415162 \nL 141.594238 114.745695 \nL 146.415221 118.206124 \nL 151.052903 121.734032 \nL 155.458107 125.279944 \nL 159.594273 128.806314 \nL 163.436545 132.285918 \nL 166.970452 135.700044 \nL 170.190387 139.036652 \nL 173.09801 142.288743 \nL 175.700713 145.452942 \nL 178.010183 148.528362 \nL 180.041144 151.515744 \nL 181.810266 154.41679 \nL 183.335262 157.233713 \nL 184.634159 159.968913 \nL 185.724711 162.624801 \nL 186.623971 165.203632 \nL 187.347965 167.707474 \nL 187.911466 170.138147 \nL 188.327854 172.497215 \nL 188.609027 174.785985 \nL 188.805774 179.156561 \nL 188.566864 183.255098 \nL 187.934513 187.082372 \nL 186.929743 190.633967 \nL 186.288932 192.303287 \nL 185.554221 193.899012 \nL 184.723056 195.41844 \nL 183.791847 196.858183 \nL 182.756003 198.21403 \nL 181.609948 199.480828 \nL 180.347146 200.652317 \nL 178.960117 201.720952 \nL 177.440458 202.677685 \nL 175.778867 203.511737 \nL 173.965187 204.210311 \nL 171.988448 204.758296 \nL 169.83696 205.137902 \nL 167.498415 205.328314 \nL 164.960057 205.305264 \nL 162.208901 205.040645 \nL 159.232043 204.502094 \nL 156.017066 203.652636 \nL 152.552586 202.450433 \nL 148.828948 200.848667 \nL 144.839123 198.795699 \nL 140.579851 196.235628 \nL 136.053019 193.109376 \nL 131.267373 189.356548 \nL 126.240506 184.918288 \nL 121.001171 179.741358 \nL 115.591814 173.783682 \nL 110.071265 167.021499 \nL 104.517328 159.458089 \nL 99.028983 151.133673 \nL 93.727774 142.135783 \nL 88.757784 132.608646 \nL 84.283556 122.759611 \nL 80.485303 112.860084 \nL 77.550892 103.238289 \nL 75.664461 94.261846 \nL 74.992071 86.309683 \nL 75.665661 79.735126 \nL 77.76724 74.825382 \nL 81.315994 71.764763 \nL 86.260897 70.60997 \nL 92.480826 71.283828 \nL 99.79289 73.589551 \nL 107.967917 77.242478 \nL 116.750548 81.911464 \nL 125.880556 87.2607 \nL 135.112099 92.98394 \nL 153.051207 104.595182 \nL 169.31116 115.428081 \nL 183.268922 124.973657 \nL 194.801858 133.207567 \nL 204.10055 140.305363 \nL 211.510588 146.477162 \nL 217.426483 151.897866 \nL 222.231173 156.689641 \nL 231.503576 166.305336 \nL 234.785524 169.237288 \nL 236.433741 170.496711 \nL 238.112414 171.610651 \nL 239.838219 172.571606 \nL 241.625996 173.370739 \nL 243.488853 173.997866 \nL 245.438248 174.441476 \nL 247.484009 174.688719 \nL 249.634305 174.725471 \nL 251.89557 174.536392 \nL 254.272339 174.10512 \nL 256.767057 173.414479 \nL 259.379786 172.446826 \nL 262.107871 171.184549 \nL 264.94553 169.610712 \nL 267.883399 167.709892 \nL 270.908 165.469238 \nL 274.001245 162.87976 \nL 277.139889 159.937844 \nL 280.29506 156.64696 \nL 283.431875 153.019522 \nL 286.509244 149.07879 \nL 289.479901 144.860618 \nL 292.290784 140.414899 \nL 294.883801 135.806418 \nL 297.197137 131.114823 \nL 299.167087 126.433455 \nL 300.730422 121.86681 \nL 301.827259 117.526558 \nL 302.404297 113.526184 \nL 302.418181 109.974598 \nL 301.838751 106.969263 \nL 300.651783 104.589577 \nL 298.860948 102.891371 \nL 296.488677 101.903253 \nL 293.575741 101.625359 \nL 290.179556 102.030604 \nL 286.371313 103.068419 \nL 282.2322 104.670086 \nL 277.849185 106.755165 \nL 273.310653 109.237987 \nL 268.702427 112.033428 \nL 264.104338 115.061629 \nL 259.587684 118.25119 \nL 255.213537 121.540997 \nL 251.031916 124.880784 \nL 247.081703 128.230764 \nL 243.391172 131.560604 \nL 239.9789 134.84807 \nL 236.854985 138.077569 \nL 234.022358 141.238701 \nL 231.478137 144.325015 \nL 229.21491 147.332904 \nL 227.221911 150.260747 \nL 225.486064 153.108243 \nL 223.992862 155.875888 \nL 222.72712 158.56463 \nL 221.673567 161.175598 \nL 220.817318 163.709928 \nL 220.144237 166.168662 \nL 219.641203 168.552646 \nL 219.296298 170.862513 \nL 219.098923 173.098622 \nL 219.039875 175.261032 \nL 219.111373 177.349486 \nL 219.307066 179.363379 \nL 219.622009 181.301702 \nL 220.052633 183.163028 \nL 220.596703 184.945426 \nL 221.253269 186.646418 \nL 222.022617 188.262885 \nL 222.906222 189.790977 \nL 223.906697 191.226004 \nL 225.027746 192.562309 \nL 226.274116 193.793108 \nL 227.651549 194.910329 \nL 229.166719 195.904415 \nL 230.827178 196.76411 \nL 232.641276 197.476202 \nL 234.61806 198.025272 \nL 236.767148 198.393402 \nL 239.098582 198.559872 \nL 241.622589 198.500857 \nL 244.349327 198.189152 \nL 247.288514 197.593919 \nL 250.448972 196.680525 \nL 253.838052 195.410506 \nL 257.460892 193.741745 \nL 261.319513 191.628933 \nL 265.411732 189.024455 \nL 269.729821 185.879798 \nL 274.258986 182.147712 \nL 278.975597 177.785219 \nL 283.845273 172.757642 \nL 288.820854 167.043784 \nL 293.840412 160.642182 \nL 298.825553 153.578274 \nL 303.680242 145.911985 \nL 308.290586 137.744886 \nL 312.525948 129.225692 \nL 316.241963 120.552461 \nL 319.285729 111.969787 \nL 321.503446 103.759332 \nL 322.750349 96.222924 \nL 322.902326 89.658757 \nL 321.868098 84.332951 \nL 319.600309 80.4507 \nL 316.103722 78.132314 \nL 311.438819 77.399257 \nL 305.719717 78.17367 \nL 299.106323 80.291647 \nL 291.791778 83.527486 \nL 283.987076 87.623425 \nL 275.905196 92.319003 \nL 267.746986 97.374931 \nL 259.690268 102.58892 \nL 244.440092 112.902586 \nL 230.947418 122.494031 \nL 224.97655 126.925062 \nL 219.536674 131.1055 \nL 214.616311 135.044643 \nL 210.191613 138.757776 \nL 206.230093 142.262767 \nL 202.693719 145.577841 \nL 199.541382 148.720183 \nL 196.730801 151.705165 \nL 191.967963 157.253784 \nL 188.087488 162.303731 \nL 177.745352 176.545918 \nL 174.908542 179.632676 \nL 173.415967 180.994876 \nL 171.853985 182.227307 \nL 170.208817 183.321534 \nL 168.467499 184.267603 \nL 166.617793 185.053919 \nL 164.648149 185.667092 \nL 162.547711 186.091785 \nL 160.306372 186.3106 \nL 157.914893 186.303935 \nL 155.365087 186.049941 \nL 152.650086 185.524489 \nL 149.764688 184.701276 \nL 146.70582 183.552081 \nL 143.473087 182.047149 \nL 140.069453 180.155907 \nL 136.502049 177.847929 \nL 132.783065 175.09434 \nL 128.930808 171.869652 \nL 124.970758 168.154135 \nL 120.936705 163.93674 \nL 116.871825 159.218511 \nL 112.829544 154.016416 \nL 108.874152 148.367335 \nL 105.080875 142.33186 \nL 101.53526 135.997317 \nL 98.331661 129.479403 \nL 95.570598 122.921611 \nL 93.35491 116.491734 \nL 91.784703 110.375024 \nL 90.951287 104.763822 \nL 90.930516 99.84432 \nL 91.776165 95.781689 \nL 93.514122 92.705603 \nL 96.138254 90.698264 \nL 99.608724 89.787237 \nL 103.853083 89.944324 \nL 108.770314 91.090811 \nL 114.237311 93.108028 \nL 120.117009 95.851363 \nL 126.267156 99.165147 \nL 132.548635 102.896173 \nL 138.832513 106.904272 \nL 145.005314 111.069099 \nL 150.972246 115.293295 \nL 156.658563 119.502606 \nL 162.00933 123.643859 \nL 166.988006 127.681753 \nL 171.574304 131.59521 \nL 175.761644 135.37383 \nL 179.554523 139.01476 \nL 182.966008 142.520135 \nL 186.015457 145.895117 \nL 188.726547 149.146465 \nL 191.125639 152.281553 \nL 193.240445 155.30772 \nL 195.098989 158.231896 \nL 196.728831 161.060406 \nL 198.156495 163.798913 \nL 200.504031 169.025224 \nL 202.321775 173.943598 \nL 203.761151 178.579011 \nL 205.475566 185.042555 \nL 208.381541 196.366021 \nL 209.431508 199.695451 \nL 210.609108 202.807997 \nL 211.96348 205.701229 \nL 213.546055 208.367127 \nL 215.413263 210.790076 \nL 216.47323 211.90279 \nL 217.629059 212.943937 \nL 218.890312 213.907928 \nL 220.267305 214.787904 \nL 221.771181 215.575514 \nL 223.413956 216.260635 \nL 225.208565 216.831054 \nL 227.168885 217.272097 \nL 229.309747 217.566204 \nL 231.646899 217.692432 \nL 234.196935 217.625919 \nL 236.977161 217.337277 \nL 240.005391 216.791928 \nL 243.299604 215.949442 \nL 246.877504 214.762898 \nL 250.75587 213.178294 \nL 254.949702 211.134166 \nL 259.471058 208.561521 \nL 264.327573 205.384286 \nL 269.520545 201.520556 \nL 275.042582 196.884946 \nL 280.874697 191.392512 \nL 286.98291 184.96466 \nL 293.314394 177.537531 \nL 299.793301 169.07316 \nL 306.316622 159.573469 \nL 312.750597 149.096495 \nL 318.9284 137.773528 \nL 324.650168 125.824426 \nL 329.686528 113.56725 \nL 333.786803 101.417294 \nL 336.692839 89.870411 \nL 338.158452 79.467247 \nL 337.973419 70.738859 \nL 335.989289 64.139933 \nL 332.142689 59.982078 \nL 326.471251 58.383316 \nL 319.11772 59.248389 \nL 310.320072 62.287186 \nL 300.388629 67.066998 \nL 289.674419 73.084452 \nL 278.53506 79.838108 \nL 226.323819 112.509031 \nL 209.978972 122.294373 \nL 177.644841 141.429412 \nL 159.146828 152.692625 \nL 155.4779 154.493257 \nL 153.751691 155.17625 \nL 152.069105 155.713144 \nL 150.412916 156.10188 \nL 148.768983 156.339767 \nL 147.12605 156.423693 \nL 145.475596 156.350396 \nL 143.811692 156.116671 \nL 142.130898 155.719621 \nL 140.432191 155.15693 \nL 138.716901 154.427172 \nL 136.988674 153.530107 \nL 135.253435 152.467034 \nL 133.519352 151.24114 \nL 131.796775 149.857869 \nL 130.098198 148.325261 \nL 128.438118 146.654295 \nL 126.832901 144.859166 \nL 125.300556 142.957491 \nL 123.860445 140.970403 \nL 122.532932 138.922493 \nL 121.338929 136.841644 \nL 120.299361 134.758598 \nL 119.434556 132.70639 \nL 118.76358 130.719541 \nL 118.303531 128.833111 \nL 118.068849 127.081585 \nL 118.070619 125.497699 \nL 118.315971 124.111224 \nL 118.807594 122.947878 \nL 119.5434 122.028357 \nL 120.516375 121.367598 \nL 121.714629 120.97435 \nL 123.121655 120.851066 \nL 124.716794 120.994106 \nL 126.475854 121.394232 \nL 128.371889 122.037355 \nL 130.376028 122.90547 \nL 132.458377 123.977626 \nL 134.588857 125.230966 \nL 136.738035 126.641666 \nL 140.981975 129.839959 \nL 144.990752 133.390895 \nL 148.606125 137.135311 \nL 151.714475 140.941761 \nL 154.243677 144.70524 \nL 155.278195 146.544119 \nL 156.15597 148.342325 \nL 156.876214 150.0918 \nL 157.439179 151.785075 \nL 157.845928 153.415111 \nL 158.098108 154.975148 \nL 158.19777 156.458556 \nL 158.147202 157.858729 \nL 157.948815 159.168977 \nL 157.605033 160.382412 \nL 157.118245 161.491891 \nL 156.490765 162.48993 \nL 155.724822 163.368632 \nL 154.822592 164.119675 \nL 153.786242 164.73425 \nL 152.618008 165.203068 \nL 151.320304 165.516379 \nL 149.89585 165.664007 \nL 148.347839 165.635434 \nL 146.680111 165.419926 \nL 144.89737 165.006709 \nL 143.005426 164.385222 \nL 141.011454 163.545424 \nL 138.924281 162.47819 \nL 136.754673 161.175829 \nL 134.515638 159.63265 \nL 132.222717 157.845638 \nL 129.894261 155.815245 \nL 127.551661 153.546197 \nL 125.219487 151.048379 \nL 122.92556 148.337693 \nL 120.70089 145.436801 \nL 118.579414 142.375754 \nL 116.597593 139.192312 \nL 114.793734 135.931932 \nL 113.207088 132.647286 \nL 111.876732 129.39722 \nL 110.840186 126.245145 \nL 110.131911 123.256866 \nL 109.781662 120.497902 \nL 109.81288 118.030521 \nL 110.241214 115.910621 \nL 111.073268 114.184884 \nL 112.305791 112.888299 \nL 113.925307 112.042469 \nL 115.908312 111.654861 \nL 118.222041 111.718981 \nL 120.825728 112.215569 \nL 123.67231 113.114548 \nL 126.710388 114.377551 \nL 129.886352 115.960659 \nL 133.146406 117.817166 \nL 136.438464 119.900024 \nL 139.713746 122.163903 \nL 142.928015 124.566729 \nL 146.042423 127.070639 \nL 149.023992 129.642515 \nL 151.845745 132.254064 \nL 154.486571 134.881625 \nL 156.930851 137.505769 \nL 159.167931 140.110739 \nL 161.1915 142.683922 \nL 162.998936 145.215252 \nL 164.590621 147.696707 \nL 165.969301 150.121817 \nL 167.139487 152.485294 \nL 168.106912 154.782652 \nL 168.878073 157.009959 \nL 169.459816 159.163593 \nL 169.859012 161.240043 \nL 170.082276 163.235769 \nL 170.135761 165.147057 \nL 170.024996 166.969906 \nL 169.754763 168.699907 \nL 169.329036 170.332165 \nL 168.75092 171.861167 \nL 168.02266 173.280711 \nL 167.145644 174.583772 \nL 166.120442 175.762431 \nL 164.94688 176.807739 \nL 163.624121 177.709597 \nL 162.150777 178.456684 \nL 160.525045 179.036311 \nL 158.744877 179.434352 \nL 156.808182 179.635172 \nL 154.713067 179.621602 \nL 152.458119 179.374932 \nL 150.042748 178.87502 \nL 147.467587 178.10047 \nL 144.734952 177.028937 \nL 141.849365 175.637617 \nL 138.818177 173.903924 \nL 135.652216 171.806412 \nL 132.366557 169.326 \nL 128.981257 166.447512 \nL 125.522161 163.161532 \nL 122.021671 159.466625 \nL 118.51936 155.371771 \nL 115.062485 150.898982 \nL 111.706124 146.085854 \nL 108.512966 140.987783 \nL 105.552542 135.679528 \nL 102.89979 130.25562 \nL 100.632875 124.82925 \nL 98.830222 119.529215 \nL 97.566821 114.494786 \nL 96.909958 109.868506 \nL 96.914698 105.78735 \nL 97.619447 102.37313 \nL 99.042201 99.723258 \nL 101.177865 97.903083 \nL 103.997137 96.941078 \nL 107.4472 96.827569 \nL 111.454255 97.517389 \nL 115.927632 98.93572 \nL 120.765075 100.986432 \nL 125.858608 103.56135 \nL 131.100289 106.549253 \nL 136.387385 109.843539 \nL 141.626512 113.34782 \nL 146.736536 116.979368 \nL 151.650242 120.670515 \nL 156.314856 124.36843 \nL 160.691625 128.033806 \nL 164.754731 131.638908 \nL 168.489769 135.16538 \nL 171.892002 138.60215 \nL 174.964557 141.943491 \nL 177.716705 145.187465 \nL 180.162271 148.334626 \nL 182.318254 151.387102 \nL 184.203637 154.347876 \nL 185.838425 157.220314 \nL 187.242863 160.007869 \nL 188.43683 162.713872 \nL 189.439389 165.341425 \nL 190.268462 167.893365 \nL 190.940611 170.372231 \nL 191.872849 175.119556 \nL 192.337844 179.598455 \nL 192.412606 183.820361 \nL 192.151024 187.793452 \nL 191.586182 191.522675 \nL 190.732689 195.009363 \nL 189.588667 198.25041 \nL 188.137198 201.23692 \nL 187.286993 202.629882 \nL 186.347177 203.952194 \nL 185.311692 205.200082 \nL 184.173612 206.368867 \nL 182.925119 207.452798 \nL 181.557497 208.444876 \nL 180.061119 209.336622 \nL 178.425429 210.117841 \nL 176.638952 210.776306 \nL 174.689304 211.297435 \nL 172.563224 211.663895 \nL 170.246649 211.855178 \nL 167.724818 211.84712 \nL 164.982445 211.611383 \nL 162.003968 211.114927 \nL 158.773901 210.319477 \nL 155.27731 209.181034 \nL 151.500471 207.649511 \nL 147.431726 205.668571 \nL 143.062591 203.175795 \nL 138.389177 200.103375 \nL 133.413958 196.379565 \nL 128.147944 191.931158 \nL 122.61323 186.68733 \nL 116.846004 180.585223 \nL 110.899795 173.577539 \nL 104.848925 165.642363 \nL 98.791776 156.795032 \nL 92.853409 147.101495 \nL 87.186948 136.691777 \nL 81.97279 125.771346 \nL 77.414835 114.627127 \nL 73.732757 103.624564 \nL 71.149854 93.191903 \nL 69.876501 83.789726 \nL 70.090249 75.866581 \nL 71.915013 69.805924 \nL 75.402418 65.87389 \nL 80.519291 64.179734 \nL 87.144399 64.659831 \nL 95.076243 67.090325 \nL 104.051008 71.125921 \nL 113.767717 76.354709 \nL 123.91584 82.355536 \nL 134.200695 88.745372 \nL 163.524037 107.507738 \nL 200.361301 131.171158 \nL 210.539931 137.993121 \nL 218.625905 143.718267 \nL 225.0699 148.573666 \nL 238.535198 159.150392 \nL 242.103527 161.49642 \nL 243.84419 162.446147 \nL 245.583172 163.241213 \nL 247.337449 163.875825 \nL 249.121393 164.343215 \nL 250.946908 164.635763 \nL 252.823524 164.745162 \nL 254.758438 164.662576 \nL 256.756538 164.378864 \nL 258.820356 163.884839 \nL 260.949993 163.171581 \nL 263.142999 162.230827 \nL 265.394242 161.055458 \nL 267.69573 159.640059 \nL 270.036419 157.981552 \nL 272.402063 156.079954 \nL 274.775037 153.939154 \nL 277.134254 151.567765 \nL 279.455128 148.979962 \nL 281.709676 146.196244 \nL 283.866732 143.244092 \nL 285.892353 140.158367 \nL 287.750423 136.981411 \nL 289.403483 133.762712 \nL 290.813789 130.558088 \nL 291.944592 127.428289 \nL 292.76157 124.437087 \nL 293.234421 121.648824 \nL 293.338423 119.125619 \nL 293.05595 116.924425 \nL 292.377761 115.094134 \nL 291.303946 113.673052 \nL 289.844435 112.687001 \nL 288.019005 112.148253 \nL 285.85672 112.05544 \nL 283.39488 112.394274 \nL 280.677521 113.139259 \nL 277.753588 114.255891 \nL 274.674924 115.703274 \nL 271.494272 117.436787 \nL 268.263371 119.410562 \nL 265.031308 121.579645 \nL 261.84317 123.901655 \nL 258.739099 126.33795 \nL 255.75368 128.854285 \nL 252.915685 131.421059 \nL 250.248101 134.013228 \nL 247.768422 136.610012 \nL 245.489093 139.194414 \nL 243.418074 141.752678 \nL 241.559478 144.273763 \nL 239.914215 146.748809 \nL 238.480639 149.170664 \nL 237.255147 151.533457 \nL 236.232722 153.832259 \nL 235.407417 156.062779 \nL 234.772784 158.221113 \nL 234.322214 160.303544 \nL 234.049234 162.30638 \nL 233.947735 164.22581 \nL 234.012154 166.057768 \nL 234.237595 167.797818 \nL 234.619926 169.441081 \nL 235.15583 170.982097 \nL 235.842826 172.41474 \nL 236.67926 173.732106 \nL 237.664269 174.926427 \nL 238.79773 175.988953 \nL 240.08018 176.909823 \nL 241.512705 177.678007 \nL 243.096803 178.281158 \nL 244.83423 178.705542 \nL 246.726811 178.936004 \nL 248.77619 178.95587 \nL 250.983566 178.747027 \nL 253.349365 178.289976 \nL 255.87285 177.563994 \nL 258.55169 176.547465 \nL 261.381433 175.218308 \nL 264.354934 173.554631 \nL 267.461714 171.53562 \nL 270.687239 169.14268 \nL 274.012197 166.360885 \nL 277.411728 163.180775 \nL 280.854704 159.600402 \nL 284.303101 155.627696 \nL 287.711503 151.282933 \nL 291.02696 146.60119 \nL 294.189137 141.634503 \nL 297.131011 136.453429 \nL 299.780194 131.147558 \nL 302.060949 125.824614 \nL 303.89696 120.607771 \nL 305.214795 115.630968 \nL 305.947949 111.032271 \nL 306.041191 106.945611 \nL 305.454823 103.491676 \nL 304.168393 100.768951 \nL 302.183447 98.846153 \nL 299.524823 97.757139 \nL 296.240281 97.499103 \nL 292.398332 98.034502 \nL 288.084545 99.296121 \nL 283.396598 101.194669 \nL 278.438782 103.627469 \nL 273.316355 106.487253 \nL 268.130491 109.669687 \nL 262.974065 113.079172 \nL 257.928623 116.63257 \nL 253.062538 120.260956 \nL 248.430283 123.909729 \nL 244.072641 127.537586 \nL 240.01762 131.11478 \nL 236.281838 134.621095 \nL 232.872162 138.043783 \nL 229.787423 141.375716 \nL 227.020122 144.613785 \nL 224.557974 147.757623 \nL 222.385309 150.808604 \nL 220.484249 153.769147 \nL 218.835708 156.642175 \nL 217.420194 159.430789 \nL 216.218431 162.13803 \nL 215.211838 164.766789 \nL 214.382881 167.319703 \nL 213.715309 169.799141 \nL 213.194308 172.207205 \nL 212.540422 176.816318 \nL 212.33352 181.158842 \nL 212.50998 185.242904 \nL 213.028474 189.07299 \nL 213.867789 192.649598 \nL 215.024775 195.96836 \nL 216.512714 199.018607 \nL 217.389151 200.437475 \nL 218.360217 201.781244 \nL 219.431788 203.045709 \nL 220.610652 204.2257 \nL 221.904506 205.314903 \nL 223.321963 206.305674 \nL 224.872553 207.188811 \nL 226.566711 207.953291 \nL 228.415767 208.585959 \nL 230.431907 209.0712 \nL 232.628118 209.390548 \nL 235.018085 209.522262 \nL 237.616052 209.440855 \nL 240.436602 209.116624 \nL 243.494362 208.515153 \nL 246.803588 207.596858 \nL 250.377619 206.316624 \nL 254.22814 204.623579 \nL 258.364228 202.461152 \nL 262.791154 199.767522 \nL 267.508854 196.476689 \nL 272.51007 192.520371 \nL 277.778128 187.831023 \nL 283.284326 182.346276 \nL 288.985005 176.015125 \nL 294.81846 168.80605 \nL 300.701802 160.71706 \nL 306.528275 151.787365 \nL 312.165421 142.109772 \nL 317.454819 131.842145 \nL 322.214215 121.215544 \nL 326.242827 110.535854 \nL 329.330503 100.175618 \nL 331.270974 90.553225 \nL 331.878721 82.099005 \nL 331.007865 75.210547 \nL 328.57075 70.20382 \nL 324.552861 67.26968 \nL 319.02082 66.446288 \nL 312.121125 67.615094 \nL 304.069005 70.522266 \nL 295.128946 74.820512 \nL 285.590301 80.120547 \nL 275.742371 86.040608 \nL 265.852758 92.244322 \nL 246.823781 104.500575 \nL 215.309235 125.096992 \nL 203.444415 133.10708 \nL 193.928917 139.866606 \nL 186.3628 145.628871 \nL 180.314763 150.590584 \nL 171.203323 158.579618 \nL 167.490529 161.712783 \nL 164.001761 164.280437 \nL 162.280432 165.344501 \nL 160.547619 166.255169 \nL 158.786355 167.005725 \nL 156.982033 167.588317 \nL 155.122271 167.994049 \nL 153.196834 168.213085 \nL 151.197601 168.234755 \nL 149.118581 168.047727 \nL 146.955979 167.640218 \nL 144.708309 167.000282 \nL 142.376557 166.116171 \nL 139.964393 164.976794 \nL 137.478416 163.572306 \nL 134.928429 161.89482 \nL 132.327733 159.939211 \nL 129.693412 157.704103 \nL 127.046576 155.192912 \nL 124.412566 152.414979 \nL 121.821037 149.38671 \nL 119.305904 146.132654 \nL 116.90508 142.686391 \nL 114.659995 139.091099 \nL 112.614818 135.399695 \nL 110.815379 131.674343 \nL 109.307736 127.985246 \nL 108.136488 124.408667 \nL 107.342828 121.024107 \nL 106.962434 117.910843 \nL 107.023375 115.144001 \nL 107.544189 112.790479 \nL 108.532248 110.905073 \nL 109.982726 109.527416 \nL 111.878161 108.679808 \nL 114.188779 108.366454 \nL 116.873587 108.574058 \nL 119.882105 109.273722 \nL 123.156673 110.42378 \nL 126.635044 111.973444 \nL 130.253093 113.866471 \nL 133.947419 116.044791 \nL 137.657636 118.451556 \nL 141.328245 121.033532 \nL 144.909973 123.74273 \nL 148.360639 126.537325 \nL 151.645514 129.381916 \nL 154.737274 132.24733 \nL 157.615618 135.11013 \nL 160.266667 137.951884 \nL 162.682186 140.758356 \nL 164.858758 143.518764 \nL 166.796905 146.225006 \nL 168.500273 148.871067 \nL 169.974854 151.452436 \nL 171.228279 153.965677 \nL 172.269227 156.408082 \nL 173.106902 158.777378 \nL 173.750595 161.071497 \nL 174.209346 163.288422 \nL 174.491667 165.426035 \nL 174.605331 167.482011 \nL 174.557222 169.453719 \nL 174.353222 171.338124 \nL 173.998152 173.131707 \nL 173.495732 174.830383 \nL 172.848581 176.429393 \nL 172.05823 177.923208 \nL 171.12515 179.305437 \nL 170.048817 180.568671 \nL 168.827779 181.704409 \nL 167.459732 182.702858 \nL 165.941633 183.552841 \nL 164.269824 184.241601 \nL 162.440192 184.754698 \nL 160.448342 185.075819 \nL 158.289819 185.186705 \nL 155.960389 185.06701 \nL 153.456345 184.694312 \nL 150.774914 184.04414 \nL 147.914715 183.090141 \nL 144.876318 181.8044 \nL 141.662885 180.157967 \nL 138.280947 178.121661 \nL 134.741234 175.667208 \nL 131.059652 172.768768 \nL 127.258303 169.404928 \nL 123.366563 165.561205 \nL 119.422116 161.232985 \nL 115.4719 156.428974 \nL 111.572822 151.174833 \nL 107.792081 145.516849 \nL 104.206932 139.525131 \nL 100.903708 133.295877 \nL 97.975872 126.951901 \nL 95.52103 120.640882 \nL 93.636746 114.530657 \nL 92.41536 108.801332 \nL 91.938013 103.634356 \nL 92.268359 99.199412 \nL 93.446634 95.64058 \nL 95.48485 93.06368 \nL 98.363828 91.526851 \nL 102.032696 91.036056 \nL 106.411038 91.546367 \nL 111.393654 92.968902 \nL 116.857281 95.181897 \nL 122.668515 98.044192 \nL 128.691927 101.408715 \nL 134.797519 105.134119 \nL 140.866748 109.093427 \nL 146.796833 113.179232 \nL 152.503188 117.30571 \nL 157.920199 121.408066 \nL 163.000651 125.440347 \nL 167.714174 129.372337 \nL 172.045097 133.186205 \nL 175.990041 136.873336 \nL 179.555465 140.431604 \nL 182.755366 143.863152 \nL 185.60921 147.172673 \nL 188.140149 150.366215 \nL 190.373553 153.450333 \nL 192.335816 156.431537 \nL 194.053431 159.315989 \nL 195.552302 162.109346 \nL 196.857234 164.816673 \nL 198.977144 169.990724 \nL 200.5799 174.868177 \nL 201.804308 179.472582 \nL 203.170818 185.90756 \nL 206.842173 205.321978 \nL 207.665323 208.22457 \nL 208.622938 210.946821 \nL 209.751401 213.488363 \nL 211.091828 215.844641 \nL 212.691988 218.005295 \nL 214.608304 219.951825 \nL 215.705536 220.835979 \nL 216.907963 221.654192 \nL 218.226026 222.400109 \nL 219.67112 223.065926 \nL 221.255655 223.642118 \nL 222.993119 224.117109 \nL 224.898122 224.476878 \nL 226.986435 224.704503 \nL 229.274987 224.779628 \nL 231.781841 224.677852 \nL 234.526103 224.370035 \nL 237.527757 223.821537 \nL 240.807422 222.991386 \nL 244.385948 221.831411 \nL 248.283841 220.285404 \nL 252.52048 218.288392 \nL 257.113008 215.766157 \nL 262.074875 212.635184 \nL 267.413923 208.803342 \nL 273.129938 204.17168 \nL 279.211545 198.637791 \nL 285.632479 192.101366 \nL 292.347164 184.472601 \nL 299.28572 175.683998 \nL 306.348685 165.706005 \nL 313.401935 154.566272 \nL 320.272633 142.371371 \nL 326.747334 129.328434 \nL 332.573785 115.762216 \nL 337.467949 102.121401 \nL 341.127976 88.96687 \nL 343.255613 76.935806 \nL 343.584433 66.679458 \nL 341.912224 58.779999 \nL 338.132239 53.661062 \nL 332.256886 51.513691 \nL 324.427334 52.259958 \nL 314.904987 55.567778 \nL 304.045183 60.914399 \nL 292.258114 67.680222 \nL 279.965381 75.246059 \nL 255.381531 90.732204 \nL 243.692957 97.945107 \nL 232.684773 104.542 \nL 222.47672 110.451226 \nL 213.129264 115.668103 \nL 204.656298 120.229733 \nL 190.229445 127.63292 \nL 178.804995 133.189401 \nL 166.135455 139.055758 \nL 157.300494 142.881614 \nL 152.843197 144.607616 \nL 149.163917 145.79569 \nL 146.03162 146.507171 \nL 143.278809 146.782159 \nL 140.790997 146.650262 \nL 138.497339 146.138464 \nL 136.362616 145.277142 \nL 134.380359 144.104687 \nL 132.56671 142.67084 \nL 130.954614 141.038702 \nL 129.587981 139.284963 \nL 128.515514 137.498113 \nL 127.784329 135.774426 \nL 127.43348 134.211946 \nL 127.488002 132.903005 \nL 127.67005 132.368974 \nL 127.9541 131.926431 \nL 128.337494 131.581991 \nL 128.816151 131.34067 \nL 129.384592 131.205816 \nL 130.762576 131.260349 \nL 132.403907 131.738942 \nL 134.227352 132.61115 \nL 136.14418 133.827661 \nL 138.064533 135.326202 \nL 139.903206 137.037413 \nL 141.584071 138.889793 \nL 143.042942 140.813231 \nL 144.228874 142.74124 \nL 145.104202 144.611888 \nL 145.643661 146.367934 \nL 145.833051 147.956451 \nL 145.667808 149.328238 \nL 145.151786 150.437384 \nL 144.765526 150.87997 \nL 144.296444 151.241106 \nL 143.747118 151.516 \nL 143.120601 151.700123 \nL 141.650697 151.779632 \nL 139.921589 151.451163 \nL 137.977718 150.695257 \nL 135.874407 149.505047 \nL 133.678993 147.890554 \nL 131.471295 145.883283 \nL 129.343036 143.540442 \nL 127.395522 140.947648 \nL 125.735221 138.218959 \nL 124.467073 135.492876 \nL 123.685683 132.923778 \nL 123.501813 131.747521 \nL 123.465374 130.668811 \nL 123.580874 129.705097 \nL 123.850463 128.871981 \nL 124.273725 128.182785 \nL 124.847638 127.648155 \nL 125.566545 127.275791 \nL 126.422243 127.070323 \nL 127.404149 127.033247 \nL 128.499564 127.163042 \nL 129.69396 127.455342 \nL 130.971349 127.903242 \nL 133.706324 129.227777 \nL 136.562828 131.045208 \nL 139.401257 133.248812 \nL 142.09437 135.728037 \nL 144.534247 138.376841 \nL 146.635685 141.098438 \nL 148.336451 143.806996 \nL 149.595217 146.427081 \nL 150.38824 148.891908 \nL 150.70563 151.141013 \nL 150.685796 152.166933 \nL 150.547892 153.117975 \nL 150.293161 153.987389 \nL 149.923215 154.768484 \nL 149.439996 155.454579 \nL 148.845779 156.03899 \nL 148.14318 156.515028 \nL 147.335185 156.876045 \nL 146.425188 157.115444 \nL 145.417057 157.22674 \nL 144.315215 157.203669 \nL 143.124722 157.040267 \nL 141.85139 156.73104 \nL 140.501885 156.271135 \nL 139.083856 155.656526 \nL 137.606039 154.884292 \nL 136.07841 153.952851 \nL 134.512247 152.862307 \nL 132.920269 151.614744 \nL 131.316667 150.214597 \nL 129.717144 148.668957 \nL 128.138918 146.987909 \nL 126.600626 145.184799 \nL 125.12218 143.276434 \nL 123.724558 141.283168 \nL 122.429494 139.228892 \nL 121.259075 137.140822 \nL 120.23525 135.049129 \nL 119.379271 132.986342 \nL 118.711065 130.986617 \nL 118.248535 129.084754 \nL 118.006892 127.315114 \nL 117.997992 125.710447 \nL 118.229727 124.300687 \nL 118.705541 123.111844 \nL 119.424085 122.165014 \nL 120.379075 121.475638 \nL 121.559297 121.053014 \nL 122.948892 120.900173 \nL 124.527763 121.014049 \nL 126.272206 121.385927 \nL 128.155668 122.002193 \nL 130.14958 122.845212 \nL 132.224235 123.894332 \nL 134.349673 125.126882 \nL 136.496459 126.519142 \nL 140.743243 129.687623 \nL 144.76392 133.217615 \nL 148.398429 136.948795 \nL 151.531164 140.748393 \nL 154.088138 144.510197 \nL 155.137317 146.349853 \nL 156.030061 148.149777 \nL 156.765445 149.901832 \nL 157.343623 151.598492 \nL 157.765574 153.232672 \nL 158.032893 154.797579 \nL 158.147583 156.286575 \nL 158.111914 157.693046 \nL 157.928277 159.0103 \nL 157.599102 160.231477 \nL 157.126783 161.349459 \nL 156.513639 162.356794 \nL 155.761913 163.245639 \nL 154.873793 164.007705 \nL 153.851453 164.634251 \nL 152.697129 165.116039 \nL 151.413231 165.443381 \nL 150.002458 165.606159 \nL 148.467961 165.593906 \nL 146.813531 165.395932 \nL 145.043801 165.001488 \nL 143.164482 164.400021 \nL 141.182625 163.581474 \nL 139.106899 162.536661 \nL 136.947896 161.25779 \nL 134.718398 159.738999 \nL 132.433696 157.977048 \nL 130.111875 155.972076 \nL 127.773999 153.728431 \nL 125.444314 151.255504 \nL 123.150297 148.568625 \nL 120.922606 145.689786 \nL 118.794858 142.648307 \nL 116.803211 139.481168 \nL 114.985727 136.233033 \nL 113.381502 132.955803 \nL 112.029561 129.707643 \nL 110.967497 126.551441 \nL 110.229996 123.55266 \nL 109.847195 120.776752 \nL 109.843085 118.28618 \nL 110.234009 116.137365 \nL 111.02741 114.377774 \nL 112.220954 113.043438 \nL 113.802135 112.157174 \nL 115.748419 111.727748 \nL 118.027944 111.749981 \nL 120.600761 112.205845 \nL 123.420456 113.066304 \nL 126.43612 114.29383 \nL 129.594416 115.845083 \nL 132.841652 117.673665 \nL 136.125668 119.732649 \nL 139.397451 121.976627 \nL 142.612406 124.363295 \nL 145.731245 126.854456 \nL 148.720492 129.416616 \nL 151.552653 132.021082 \nL 154.206101 134.64379 \nL 156.66472 137.264943 \nL 158.917403 139.868469 \nL 160.957437 142.441464 \nL 162.781845 144.973632 \nL 164.390716 147.456752 \nL 165.786553 149.884213 \nL 166.973685 152.250595 \nL 167.957708 154.551327 \nL 168.745022 156.782412 \nL 169.342416 158.940173 \nL 169.756733 161.021074 \nL 169.994584 163.02156 \nL 170.062146 164.937923 \nL 169.964987 166.766155 \nL 169.707942 168.501882 \nL 169.295044 170.140215 \nL 168.729472 171.675694 \nL 168.013545 173.102151 \nL 167.148721 174.412638 \nL 166.135648 175.599277 \nL 164.974222 176.653198 \nL 163.663681 177.564405 \nL 162.202696 178.32166 \nL 160.589523 178.912386 \nL 158.822158 179.322578 \nL 156.898543 179.536744 \nL 154.816806 179.537838 \nL 152.57553 179.307308 \nL 152.57553 179.307308 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p71480df29c\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.244064pt\" version=\"1.1\" viewBox=\"0 0 293.276133 285.244064\" width=\"293.276133pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T14:48:38.842369</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.244064 \nL 293.276133 285.244064 \nL 293.276133 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 37.618324 211.069465 \nL 124.952422 136.87823 \nL 124.144521 30.385862 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 67.762318 220.914493 \nL 153.471776 145.16768 \nL 153.887267 37.924781 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 98.569445 230.976101 \nL 182.566047 153.624236 \nL 184.25576 45.622309 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 130.06183 241.261513 \nL 212.252796 162.253002 \nL 215.269958 53.483504 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 162.262594 251.778283 \nL 242.550307 171.059292 \nL 246.950676 61.513642 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 38.378853 210.423387 \nL 36.094001 212.364393 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(19.53819 234.387399)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 68.509359 220.254286 \nL 66.264994 222.237772 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(49.713304 244.441108)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 99.302217 230.301295 \nL 97.100684 232.328672 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(87.925853 254.716827)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 130.779511 240.57162 \nL 128.623282 242.64436 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(116.274717 265.221993)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 162.964317 251.07279 \nL 160.855999 253.192433 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(148.516815 275.964377)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 24.677839 92.94916 \nL 29.966631 205.456462 \nL 179.201377 254.028339 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 39.762979 81.940711 \nL 44.320511 193.424756 \nL 192.216641 240.671476 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.431806 71.236069 \nL 58.295373 181.710749 \nL 204.870188 227.685824 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 68.701319 60.822829 \nL 71.906035 170.302022 \nL 217.176891 215.056119 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 82.587604 50.689251 \nL 85.166551 159.186795 \nL 229.150818 202.767925 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.105895 40.824218 \nL 98.09026 148.353886 \nL 240.805286 190.807573 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.270628 31.217195 \nL 110.689834 137.792673 \nL 252.152911 179.162118 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 177.943559 253.618953 \nL 181.720277 254.848173 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −30 -->\n     <g transform=\"translate(181.570785 275.096733)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 190.970998 240.273545 \nL 194.711114 241.468357 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −20 -->\n     <g transform=\"translate(194.411562 261.542032)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 203.636534 227.298872 \nL 207.340609 228.460703 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(206.895262 248.36426)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 215.955041 214.679699 \nL 219.623632 215.809895 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(226.40767 235.547909)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 227.940588 202.401612 \nL 231.574248 203.501448 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(235.039243 223.078313)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 239.606496 190.450967 \nL 243.205769 191.521649 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(246.536729 210.941587)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_14\">\n     <path d=\"M 250.965382 178.814837 \nL 254.530808 179.85751 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 30 -->\n     <g transform=\"translate(257.731338 199.124577)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_15\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.147136 154.042757 \nL 114.938545 113.719392 \nL 26.258604 186.211357 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.02485 134.875719 \nL 114.725279 95.173209 \nL 25.312746 166.570008 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.916271 115.409382 \nL 114.508843 76.351399 \nL 24.351549 146.610129 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.82172 95.636681 \nL 114.289167 57.247773 \nL 23.374637 126.323907 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.741532 75.550326 \nL 114.066176 37.855954 \nL 22.38162 105.703273 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 255.953137 153.704197 \nL 259.537999 154.720688 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 10 -->\n     <g transform=\"translate(269.185969 159.077424)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 256.821252 134.54225 \nL 260.434958 135.543462 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 20 -->\n     <g transform=\"translate(270.203133 139.948989)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 257.702917 115.081205 \nL 261.345934 116.066535 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 30 -->\n     <g transform=\"translate(271.236131 120.522776)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 258.598452 95.314005 \nL 262.271259 96.282826 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 40 -->\n     <g transform=\"translate(272.285336 100.791776)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_18\">\n    <g id=\"line2d_21\">\n     <path d=\"M 259.508187 75.233366 \nL 263.211275 76.185029 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- 50 -->\n     <g transform=\"translate(273.351133 80.748759)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_22\">\n    <path clip-path=\"url(#p47fc10f5eb)\" d=\"M 144.286294 190.467682 \nL 144.481682 189.689046 \nL 144.948454 189.106481 \nL 145.664285 188.613525 \nL 147.228649 187.883194 \nL 160.985615 182.247982 \nL 165.740125 179.972347 \nL 171.558624 176.915764 \nL 178.606153 172.799173 \nL 182.633214 170.235048 \nL 187.00832 167.266777 \nL 191.729497 163.840184 \nL 196.780748 159.900693 \nL 202.126621 155.397478 \nL 207.705565 150.289827 \nL 213.422151 144.556342 \nL 219.1386 138.207503 \nL 224.666487 131.301723 \nL 229.760337 123.964248 \nL 234.115757 116.406685 \nL 237.375947 108.942637 \nL 239.151236 101.991959 \nL 239.055972 96.063331 \nL 236.764444 91.704678 \nL 232.080943 89.416216 \nL 225.009193 89.535112 \nL 215.796476 92.121732 \nL 204.926274 96.894485 \nL 193.047401 103.25593 \nL 180.855858 110.417333 \nL 168.970727 117.578233 \nL 157.848238 124.088614 \nL 147.755315 129.536786 \nL 138.793926 133.751589 \nL 130.950731 136.746732 \nL 124.147977 138.64678 \nL 118.282512 139.623268 \nL 113.250102 139.852256 \nL 108.957802 139.492369 \nL 105.328462 138.677349 \nL 102.300785 137.516898 \nL 99.827189 136.101133 \nL 97.870765 134.50594 \nL 96.402007 132.797649 \nL 95.395688 131.036512 \nL 94.82805 129.278831 \nL 94.67446 127.57776 \nL 94.907636 125.983124 \nL 95.496507 124.540463 \nL 96.405726 123.289674 \nL 97.595814 122.263551 \nL 99.023898 121.486533 \nL 100.644858 120.973865 \nL 102.412753 120.731378 \nL 104.282342 120.755844 \nL 106.210533 121.035933 \nL 108.157616 121.553615 \nL 110.088199 122.285818 \nL 111.971814 123.206164 \nL 113.783171 124.286672 \nL 115.502141 125.499209 \nL 117.113478 126.816667 \nL 118.606388 128.213856 \nL 119.973983 129.668059 \nL 121.212691 131.159334 \nL 123.302159 134.187572 \nL 124.89056 137.194074 \nL 126.012622 140.111342 \nL 126.710171 142.899841 \nL 127.024025 145.539344 \nL 126.988966 148.021822 \nL 126.630987 150.345999 \nL 125.966095 152.513324 \nL 125.000124 154.52492 \nL 123.729181 156.379113 \nL 122.140539 158.06912 \nL 120.213967 159.580674 \nL 117.923629 160.889195 \nL 115.240925 161.956398 \nL 112.138795 162.726148 \nL 110.423965 162.975901 \nL 108.598295 163.119749 \nL 106.662295 163.143551 \nL 104.61845 163.031222 \nL 102.471776 162.764708 \nL 100.230463 162.324044 \nL 97.906612 161.687546 \nL 95.517007 160.832214 \nL 93.083949 159.734365 \nL 90.636037 158.37058 \nL 88.208877 156.719067 \nL 85.845556 154.761413 \nL 83.59677 152.484835 \nL 81.520437 149.884821 \nL 79.680595 146.968086 \nL 78.145432 143.755601 \nL 76.984323 140.28532 \nL 76.263908 136.614134 \nL 76.043299 132.81846 \nL 76.368871 128.992912 \nL 77.26915 125.246634 \nL 78.750572 121.697191 \nL 80.794873 118.462393 \nL 83.358725 115.650923 \nL 86.375934 113.353028 \nL 89.762058 111.632789 \nL 93.420814 110.523228 \nL 97.251348 110.025009 \nL 101.155312 110.108864 \nL 105.042822 110.721016 \nL 108.836712 111.790501 \nL 112.47488 113.237025 \nL 115.910885 114.97825 \nL 119.113157 116.935638 \nL 122.063312 119.0385 \nL 124.753987 121.226289 \nL 127.18657 123.449404 \nL 129.369059 125.668867 \nL 131.314157 127.855301 \nL 133.037705 129.987567 \nL 135.891816 134.037401 \nL 138.079232 137.760146 \nL 139.742606 141.147844 \nL 141.008938 144.218074 \nL 142.393823 148.290867 \nL 144.24773 154.880067 \nL 145.353192 158.364869 \nL 146.31029 160.58036 \nL 147.062218 161.878545 \nL 147.938323 163.033621 \nL 148.969486 164.040496 \nL 150.190428 164.888983 \nL 151.641046 165.562878 \nL 153.367632 166.038561 \nL 155.423922 166.283065 \nL 157.871762 166.25152 \nL 160.781068 165.883885 \nL 164.228407 165.101083 \nL 168.293166 163.800892 \nL 173.049515 161.854585 \nL 175.705343 160.591448 \nL 178.551615 159.106548 \nL 181.587847 157.37733 \nL 184.808371 155.38114 \nL 188.200684 153.096393 \nL 191.743474 150.504266 \nL 195.404367 147.591002 \nL 199.137479 144.350943 \nL 202.880877 140.790348 \nL 206.554273 136.931945 \nL 210.057293 132.820012 \nL 213.268946 128.525493 \nL 216.049006 124.150349 \nL 218.242158 119.829884 \nL 219.685757 115.731412 \nL 220.2217 112.047504 \nL 219.712265 108.982302 \nL 218.058669 106.730606 \nL 215.219667 105.451387 \nL 211.226178 105.239954 \nL 206.187522 106.10552 \nL 200.285816 107.961436 \nL 193.75789 110.63303 \nL 186.86778 113.88309 \nL 179.876001 117.448946 \nL 154.73927 130.627247 \nL 145.15217 135.145883 \nL 137.605341 138.304029 \nL 129.378978 141.361169 \nL 122.29251 143.979843 \nL 118.623717 145.559909 \nL 112.835212 148.189389 \nL 110.972305 148.829934 \nL 109.04544 149.289114 \nL 107.032229 149.523121 \nL 104.931847 149.487147 \nL 102.765003 149.137388 \nL 100.574597 148.434153 \nL 98.426315 147.346667 \nL 96.408063 145.859822 \nL 95.48058 144.968268 \nL 94.626979 143.98265 \nL 93.862549 142.909364 \nL 93.202691 141.757381 \nL 92.662441 140.538395 \nL 92.255935 139.266861 \nL 91.995847 137.959918 \nL 91.892784 136.63714 \nL 91.954722 135.320133 \nL 92.186496 134.031958 \nL 92.589392 132.796406 \nL 93.160873 131.63716 \nL 93.894496 130.576873 \nL 94.780007 129.636277 \nL 95.803622 128.833319 \nL 96.948506 128.182458 \nL 98.195384 127.694141 \nL 99.523262 127.374515 \nL 100.910186 127.225373 \nL 102.33401 127.244364 \nL 103.7731 127.425374 \nL 105.20695 127.759092 \nL 106.616667 128.233669 \nL 107.985339 128.835424 \nL 109.29825 129.549522 \nL 110.542974 130.360619 \nL 112.789456 132.213065 \nL 114.668689 134.278018 \nL 116.153096 136.456753 \nL 117.236105 138.669912 \nL 117.92468 140.856712 \nL 118.23298 142.971915 \nL 118.177534 144.981911 \nL 117.773988 146.860739 \nL 117.035276 148.586423 \nL 115.971028 150.137724 \nL 114.58805 151.491306 \nL 112.891816 152.619225 \nL 110.888983 153.486732 \nL 108.591004 154.050498 \nL 106.018989 154.257562 \nL 104.640943 154.208152 \nL 103.209851 154.045521 \nL 101.733996 153.760775 \nL 100.223605 153.344906 \nL 98.691076 152.789077 \nL 97.151208 152.084984 \nL 95.621356 151.225339 \nL 94.12152 150.204425 \nL 92.674333 149.018774 \nL 91.304895 147.667917 \nL 90.040437 146.15518 \nL 88.909768 144.488496 \nL 87.942509 142.681152 \nL 87.168065 140.752382 \nL 86.614409 138.727721 \nL 86.30667 136.638979 \nL 86.265653 134.52381 \nL 86.506378 132.424728 \nL 87.036788 130.387623 \nL 87.856765 128.459776 \nL 88.957591 126.687531 \nL 90.321966 125.113835 \nL 91.924578 123.775799 \nL 93.733268 122.702664 \nL 95.710607 121.914309 \nL 97.815818 121.420469 \nL 100.006762 121.220766 \nL 102.241887 121.305485 \nL 104.481921 121.656916 \nL 106.691215 122.251162 \nL 108.83868 123.060065 \nL 110.898304 124.053159 \nL 112.849311 125.199402 \nL 114.675998 126.468606 \nL 116.367353 127.832519 \nL 117.916525 129.265534 \nL 119.320214 130.745107 \nL 120.578045 132.251884 \nL 121.691951 133.769632 \nL 123.503925 136.787436 \nL 124.797842 139.7217 \nL 125.622861 142.527218 \nL 126.026801 145.180537 \nL 126.050722 147.671849 \nL 125.726011 149.998869 \nL 125.073199 152.162327 \nL 124.10189 154.162599 \nL 122.811399 155.997013 \nL 121.191908 157.657396 \nL 119.226118 159.127556 \nL 116.89154 160.380402 \nL 114.163821 161.374528 \nL 112.645573 161.756742 \nL 111.021639 162.050208 \nL 109.291015 162.243884 \nL 107.453974 162.325045 \nL 105.512479 162.279207 \nL 103.47069 162.090068 \nL 101.335526 161.739555 \nL 99.117319 161.207967 \nL 96.830512 160.47428 \nL 94.494399 159.516665 \nL 92.133862 158.313255 \nL 89.78004 156.843258 \nL 87.47084 155.08843 \nL 85.251178 153.034956 \nL 83.172796 150.675713 \nL 81.293525 148.012857 \nL 79.675813 145.060558 \nL 78.384397 141.847596 \nL 77.483099 138.419452 \nL 77.03079 134.839426 \nL 77.076797 131.188198 \nL 77.656162 127.561517 \nL 78.785356 124.065703 \nL 80.459129 120.811081 \nL 82.649112 117.903983 \nL 85.304602 115.438203 \nL 88.355617 113.487144 \nL 91.717872 112.097942 \nL 95.299018 111.288484 \nL 99.005232 111.047717 \nL 102.747268 111.339022 \nL 106.44529 112.105925 \nL 110.032065 113.278941 \nL 113.454508 114.782553 \nL 116.673758 116.541306 \nL 119.664179 118.484518 \nL 122.411678 120.549422 \nL 124.911704 122.682753 \nL 127.167225 124.841161 \nL 129.186831 126.990738 \nL 130.983089 129.106005 \nL 132.571171 131.168672 \nL 135.19016 135.091174 \nL 137.181307 138.708361 \nL 138.675865 142.014273 \nL 139.789761 145.025551 \nL 140.954727 149.048525 \nL 141.935161 153.638766 \nL 143.562393 162.316156 \nL 144.148028 164.322474 \nL 144.881669 166.089679 \nL 145.82513 167.618478 \nL 146.607283 168.49961 \nL 147.543342 169.261798 \nL 148.666033 169.893292 \nL 150.014537 170.377184 \nL 151.635722 170.689839 \nL 153.58538 170.798777 \nL 155.929326 170.659823 \nL 158.744044 170.213386 \nL 162.11631 169.379772 \nL 166.140773 168.053675 \nL 170.913775 166.098502 \nL 176.520589 163.342302 \nL 179.654809 161.600562 \nL 183.011855 159.57927 \nL 186.586073 157.249786 \nL 190.363405 154.584502 \nL 194.318798 151.559027 \nL 198.413179 148.155264 \nL 202.590109 144.365515 \nL 206.77232 140.197763 \nL 210.858491 135.682041 \nL 214.720875 130.8776 \nL 218.204663 125.880154 \nL 221.13019 120.827851 \nL 223.299349 115.90401 \nL 224.507455 111.333921 \nL 224.561238 107.372935 \nL 223.302497 104.283697 \nL 220.634796 102.302688 \nL 216.548354 101.599972 \nL 211.13622 102.240781 \nL 204.595059 104.160562 \nL 197.206824 107.164407 \nL 189.303504 110.955015 \nL 181.22319 115.183369 \nL 158.621595 127.382139 \nL 152.184972 130.620459 \nL 146.403661 133.321779 \nL 141.268116 135.508506 \nL 136.741539 137.236847 \nL 132.772229 138.57822 \nL 126.27338 140.38833 \nL 121.319712 141.43781 \nL 115.954087 142.292063 \nL 109.449611 143.067794 \nL 106.596945 143.215437 \nL 104.809855 143.084467 \nL 103.22826 142.697983 \nL 102.284491 142.28696 \nL 101.442347 141.754421 \nL 100.720801 141.10982 \nL 100.142229 140.370736 \nL 99.729218 139.562842 \nL 99.501391 138.719171 \nL 99.472411 137.878527 \nL 99.647471 137.083047 \nL 100.02159 136.375068 \nL 100.578922 135.793643 \nL 101.293308 135.371206 \nL 102.129906 135.130853 \nL 103.047726 135.084677 \nL 104.002645 135.233348 \nL 104.950445 135.566899 \nL 105.849499 136.066446 \nL 106.662816 136.706441 \nL 107.359346 137.457058 \nL 107.914552 138.286383 \nL 108.310422 139.162129 \nL 108.535063 140.052877 \nL 108.582119 140.928786 \nL 108.450138 141.761891 \nL 108.142071 142.526135 \nL 107.664945 143.197215 \nL 107.029786 143.752414 \nL 106.251787 144.170537 \nL 105.350662 144.432046 \nL 104.351143 144.5195 \nL 103.283476 144.418369 \nL 102.18375 144.118301 \nL 101.093874 143.614796 \nL 100.060934 142.911213 \nL 99.135717 142.020897 \nL 98.370226 140.969072 \nL 97.814194 139.793975 \nL 97.510736 138.546711 \nL 97.491656 137.289346 \nL 97.773107 136.091 \nL 98.35246 135.022148 \nL 99.207147 134.147898 \nL 100.295917 133.521342 \nL 101.562418 133.178295 \nL 102.940525 133.134435 \nL 104.360409 133.385245 \nL 105.754308 133.90852 \nL 107.061152 134.668605 \nL 108.229589 135.621359 \nL 109.219318 136.718799 \nL 110.001038 137.912881 \nL 110.555405 139.158034 \nL 110.87148 140.412525 \nL 110.945048 141.638835 \nL 110.777126 142.803322 \nL 110.372855 143.875483 \nL 109.74087 144.827006 \nL 108.893216 145.630874 \nL 107.845771 146.26062 \nL 106.619175 146.689958 \nL 105.240138 146.892855 \nL 103.742999 146.844328 \nL 102.171309 146.522038 \nL 100.579067 145.908896 \nL 99.031205 144.996674 \nL 97.602687 143.790495 \nL 96.37569 142.3137 \nL 95.434405 140.612141 \nL 94.857438 138.756628 \nL 94.726318 137.799946 \nL 94.708431 136.84197 \nL 94.807791 135.897394 \nL 95.026334 134.981445 \nL 95.363746 134.10947 \nL 95.817371 133.296449 \nL 96.382209 132.556534 \nL 97.050996 131.90257 \nL 97.814397 131.345662 \nL 98.661271 130.894843 \nL 99.579013 130.556806 \nL 100.553926 130.335738 \nL 101.571655 130.233317 \nL 102.617578 130.248773 \nL 104.736579 130.619184 \nL 106.802689 131.400635 \nL 108.723543 132.525595 \nL 110.427096 133.916374 \nL 111.862324 135.494521 \nL 112.997192 137.187321 \nL 113.815092 138.931248 \nL 114.310782 140.67292 \nL 114.486578 142.368294 \nL 114.349255 143.980876 \nL 113.907844 145.479484 \nL 113.172394 146.83594 \nL 112.153659 148.022906 \nL 110.8637 149.011973 \nL 109.317315 149.772159 \nL 107.53432 150.268876 \nL 105.54257 150.463703 \nL 103.381629 150.315204 \nL 101.106789 149.781332 \nL 98.79287 148.823908 \nL 97.650676 148.177165 \nL 96.536887 147.415654 \nL 95.467134 146.539259 \nL 94.45824 145.549878 \nL 93.527974 144.451806 \nL 92.6947 143.252094 \nL 91.976916 141.96086 \nL 91.3927 140.59151 \nL 90.959065 139.16083 \nL 90.691244 137.688899 \nL 90.601964 136.198811 \nL 90.700716 134.71617 \nL 90.993133 133.26837 \nL 91.480472 131.883659 \nL 92.159305 130.590069 \nL 93.021429 129.414244 \nL 94.054029 128.380276 \nL 95.240089 127.508649 \nL 96.559041 126.815372 \nL 97.98758 126.311365 \nL 99.50061 126.002205 \nL 101.072216 125.888134 \nL 102.676614 125.964428 \nL 104.288997 126.221999 \nL 105.88626 126.64818 \nL 107.447531 127.227609 \nL 108.95453 127.943142 \nL 110.391766 128.776702 \nL 111.746558 129.710047 \nL 113.008951 130.725393 \nL 115.22912 132.935955 \nL 117.018404 135.289995 \nL 118.369657 137.69353 \nL 119.292965 140.076357 \nL 119.807504 142.3883 \nL 119.935327 144.594292 \nL 119.697105 146.669476 \nL 119.109569 148.594812 \nL 118.18438 150.353314 \nL 116.928161 151.926809 \nL 115.343522 153.293073 \nL 113.431071 154.42322 \nL 111.192502 155.279286 \nL 108.634905 155.812133 \nL 105.77662 155.959994 \nL 104.245343 155.866745 \nL 102.654758 155.64843 \nL 101.013943 155.294174 \nL 99.334349 154.792843 \nL 97.630128 154.133392 \nL 95.918412 153.305329 \nL 94.219546 152.299322 \nL 92.557214 151.107921 \nL 90.958427 149.726448 \nL 89.453331 148.153978 \nL 88.074756 146.394418 \nL 86.857492 144.457579 \nL 85.837248 142.360171 \nL 85.049277 140.126579 \nL 84.526716 137.789284 \nL 84.298719 135.388748 \nL 84.388477 132.972679 \nL 84.811347 130.594551 \nL 85.57325 128.311391 \nL 86.669578 126.18095 \nL 88.084782 124.25847 \nL 89.79272 122.593342 \nL 91.757847 121.226066 \nL 93.937063 120.185852 \nL 96.282123 119.489143 \nL 98.742267 119.139239 \nL 101.266841 119.127009 \nL 103.807654 119.432531 \nL 106.320864 120.027375 \nL 108.768309 120.87725 \nL 111.118259 121.944621 \nL 113.345642 123.19112 \nL 115.431834 124.579502 \nL 117.364154 126.075113 \nL 119.13514 127.646843 \nL 120.741745 129.267634 \nL 122.184506 130.914608 \nL 123.466746 132.568939 \nL 124.593854 134.215523 \nL 126.410869 137.441158 \nL 127.698307 140.528732 \nL 128.521024 143.447304 \nL 128.937898 146.186256 \nL 128.997374 148.746786 \nL 128.735479 151.13602 \nL 128.175361 153.363002 \nL 127.327687 155.435936 \nL 126.191479 157.360112 \nL 124.75515 159.136094 \nL 122.997672 160.757799 \nL 120.890008 162.21017 \nL 118.397054 163.466182 \nL 115.480585 164.482852 \nL 113.851835 164.882415 \nL 112.103933 165.196179 \nL 110.233759 165.411866 \nL 108.23943 165.515096 \nL 106.120791 165.4892 \nL 103.879996 165.315074 \nL 101.522203 164.971098 \nL 99.056389 164.433179 \nL 96.496277 163.674956 \nL 93.861339 162.668274 \nL 91.17787 161.383953 \nL 88.480034 159.793027 \nL 85.810781 157.868475 \nL 83.222485 155.587574 \nL 80.777087 152.934878 \nL 78.545522 149.905794 \nL 76.606148 146.510548 \nL 75.041947 142.778216 \nL 73.936365 138.760242 \nL 73.367808 134.532721 \nL 73.403113 130.196586 \nL 74.090595 125.874892 \nL 75.453607 121.706738 \nL 77.48571 117.837855 \nL 80.14854 114.408751 \nL 83.373055 111.541884 \nL 87.064322 109.330007 \nL 91.109245 107.827771 \nL 95.386009 107.048053 \nL 99.773724 106.963624 \nL 104.160849 107.513438 \nL 108.451346 108.61212 \nL 112.568181 110.160647 \nL 116.454307 112.056441 \nL 120.071654 114.201555 \nL 123.398833 116.508364 \nL 126.428215 118.902657 \nL 129.162883 121.32463 \nL 131.613819 123.728315 \nL 133.79747 126.080047 \nL 135.73378 128.356492 \nL 138.952736 132.629697 \nL 141.450462 136.494396 \nL 143.397885 139.953284 \nL 145.611428 144.445241 \nL 148.877619 151.359508 \nL 149.922996 153.154692 \nL 151.048663 154.723232 \nL 152.305079 156.070351 \nL 153.740009 157.193091 \nL 155.400967 158.079774 \nL 157.337021 158.709139 \nL 159.599853 159.049059 \nL 162.243841 159.054895 \nL 165.324746 158.667636 \nL 168.896268 157.812218 \nL 173.003416 156.396913 \nL 175.266873 155.446484 \nL 177.671159 154.315347 \nL 180.213321 152.989123 \nL 182.88645 151.453927 \nL 185.678641 149.697212 \nL 188.571791 147.70889 \nL 191.5403 145.482806 \nL 194.549701 143.018547 \nL 197.555332 140.323631 \nL 200.501199 137.415989 \nL 203.319256 134.326629 \nL 205.92936 131.102184 \nL 208.240266 127.806993 \nL 210.152034 124.524095 \nL 211.560179 121.354545 \nL 212.36176 118.41421 \nL 212.463372 115.82753 \nL 211.79054 113.718041 \nL 210.297504 112.196119 \nL 207.975887 111.345357 \nL 204.860435 111.209905 \nL 201.030095 111.785645 \nL 196.603462 113.017768 \nL 191.728778 114.80614 \nL 186.569996 117.017979 \nL 181.291487 119.505138 \nL 170.955322 124.742489 \nL 140.161099 140.891057 \nL 136.694434 143.005875 \nL 133.974932 144.942257 \nL 131.785487 146.78949 \nL 129.104498 149.480166 \nL 124.307844 154.580924 \nL 122.533426 156.13286 \nL 120.555673 157.56516 \nL 118.319589 158.842156 \nL 115.777568 159.919613 \nL 112.890298 160.741207 \nL 109.630096 161.234371 \nL 107.856175 161.329632 \nL 105.987305 161.306129 \nL 104.026761 161.148545 \nL 101.980447 160.840055 \nL 99.857443 160.36246 \nL 97.670613 159.696444 \nL 95.437249 158.822023 \nL 93.179698 157.719223 \nL 90.925951 156.369028 \nL 88.710089 154.754649 \nL 86.572509 152.863153 \nL 84.559798 150.6874 \nL 82.724142 148.228283 \nL 81.122106 145.497103 \nL 79.812702 142.517864 \nL 78.854698 139.329192 \nL 78.303191 135.985472 \nL 78.205654 132.556757 \nL 78.59777 129.127138 \nL 79.499508 125.79125 \nL 80.912047 122.648987 \nL 82.816069 119.798827 \nL 85.17183 117.33039 \nL 87.921204 115.317349 \nL 90.991505 113.811612 \nL 94.300612 112.839788 \nL 97.762715 112.402369 \nL 101.293877 112.475676 \nL 104.81678 113.01606 \nL 108.26419 113.965537 \nL 111.580986 115.257866 \nL 114.724853 116.824301 \nL 117.665851 118.598282 \nL 120.385246 120.518886 \nL 122.873888 122.532886 \nL 125.130433 124.595685 \nL 127.159605 126.67131 \nL 128.970607 128.731814 \nL 130.575753 130.756313 \nL 133.226739 134.642456 \nL 135.235824 138.262624 \nL 136.724993 141.598034 \nL 137.804158 144.65665 \nL 138.566502 147.459411 \nL 139.087542 150.032209 \nL 139.541642 153.517604 \nL 139.722713 156.625813 \nL 139.680842 160.29819 \nL 139.398247 163.542458 \nL 138.890775 166.45057 \nL 138.33897 168.454687 \nL 137.600617 170.336071 \nL 136.620421 172.118175 \nL 135.795481 173.261697 \nL 134.799677 174.376107 \nL 133.596821 175.46575 \nL 132.142841 176.53299 \nL 130.384327 177.576825 \nL 128.256986 178.590658 \nL 125.684197 179.558778 \nL 122.576039 180.450887 \nL 118.829583 181.213731 \nL 114.331857 181.758607 \nL 111.765062 181.90759 \nL 108.968033 181.943317 \nL 105.929012 181.835592 \nL 102.63917 181.547428 \nL 99.094187 181.034 \nL 95.296341 180.241666 \nL 91.257158 179.107222 \nL 87.000713 177.557644 \nL 82.567596 175.510699 \nL 78.019427 172.876935 \nL 73.443663 169.563738 \nL 68.958117 165.482205 \nL 64.714288 160.55762 \nL 60.898051 154.743953 \nL 57.725939 148.042157 \nL 55.435016 140.520644 \nL 54.26477 132.334494 \nL 54.430906 123.737828 \nL 56.093229 115.082378 \nL 59.323219 106.795935 \nL 64.079397 99.3383 \nL 70.199191 93.139487 \nL 77.412738 88.532959 \nL 85.377611 85.701835 \nL 93.72628 84.654029 \nL 102.113738 85.233311 \nL 110.253719 87.161099 \nL 117.937218 90.094361 \nL 125.03374 93.682627 \nL 131.480371 97.611344 \nL 137.265246 101.626525 \nL 142.410732 105.541995 \nL 146.959397 109.234602 \nL 154.479377 115.704642 \nL 169.513495 128.986156 \nL 172.823276 131.596764 \nL 175.159421 133.1598 \nL 176.858894 134.020808 \nL 178.122387 134.415254 \nL 179.060278 134.508668 \nL 179.892787 134.371978 \nL 180.289399 134.130678 \nL 180.27499 133.940358 \nL 180.020736 133.894031 \nL 179.423658 134.003091 \nL 178.436421 134.41319 \nL 177.446968 135.04455 \nL 176.72263 135.750841 \nL 176.464634 136.26066 \nL 176.493154 136.560153 \nL 176.715725 136.758274 \nL 177.119694 136.834238 \nL 177.892102 136.7243 \nL 178.837236 136.371661 \nL 180.050177 135.646138 \nL 180.848055 134.937329 \nL 181.320847 134.243241 \nL 181.389396 133.813302 \nL 181.185866 133.518404 \nL 180.718628 133.39543 \nL 180.027578 133.461124 \nL 178.876507 133.829606 \nL 177.651148 134.45473 \nL 176.561624 135.230023 \nL 175.784044 136.034966 \nL 175.479116 136.587957 \nL 175.443446 137.048288 \nL 175.683086 137.377791 \nL 176.185376 137.54506 \nL 176.9198 137.527118 \nL 177.838233 137.311931 \nL 179.233033 136.724579 \nL 180.635094 135.848662 \nL 181.80563 134.80608 \nL 182.385177 134.022463 \nL 182.613464 133.335751 \nL 182.543495 132.974512 \nL 182.289779 132.715775 \nL 181.858698 132.574996 \nL 180.918991 132.601416 \nL 179.715364 132.907284 \nL 178.374988 133.455132 \nL 176.613899 134.453908 \nL 175.153544 135.600258 \nL 174.390854 136.454984 \nL 173.978925 137.234645 \nL 173.913929 137.685013 \nL 174.019573 138.062465 \nL 174.293366 138.353525 \nL 174.728748 138.546056 \nL 175.660747 138.627536 \nL 176.879127 138.437376 \nL 178.308654 137.96408 \nL 179.848813 137.218004 \nL 181.372817 136.238685 \nL 182.73134 135.100557 \nL 183.764125 133.913498 \nL 184.196351 133.161918 \nL 184.380264 132.492641 \nL 184.291622 131.946945 \nL 183.921588 131.559864 \nL 183.279018 131.356415 \nL 182.390868 131.34894 \nL 181.30044 131.536108 \nL 179.410028 132.148105 \nL 177.406587 133.077071 \nL 175.502037 134.211605 \nL 173.874079 135.439949 \nL 172.650463 136.663922 \nL 171.908245 137.802088 \nL 171.69945 138.479106 \nL 171.722867 139.069423 \nL 171.9758 139.555957 \nL 172.451583 139.922306 \nL 173.140003 140.152755 \nL 174.027235 140.232588 \nL 175.095314 140.148729 \nL 176.321216 139.890754 \nL 178.389865 139.164832 \nL 180.613759 138.038885 \nL 182.814773 136.562508 \nL 184.160441 135.434642 \nL 185.322259 134.246749 \nL 186.223487 133.059846 \nL 186.791992 131.944064 \nL 186.968305 130.972894 \nL 186.896382 130.56352 \nL 186.714148 130.215345 \nL 186.421353 129.934842 \nL 186.019828 129.727142 \nL 184.908521 129.542933 \nL 183.436051 129.671558 \nL 181.685655 130.095804 \nL 179.758591 130.77684 \nL 177.7627 131.661871 \nL 174.862528 133.245339 \nL 172.325325 134.976003 \nL 170.935291 136.13925 \nL 169.828891 137.271895 \nL 169.024928 138.348782 \nL 168.530555 139.348985 \nL 168.344875 140.253705 \nL 168.461966 141.044654 \nL 168.873048 141.703022 \nL 169.567762 142.208953 \nL 170.534546 142.5415 \nL 171.760158 142.678975 \nL 173.228411 142.599718 \nL 174.918173 142.283409 \nL 176.800716 141.713003 \nL 178.836581 140.877458 \nL 180.972209 139.775377 \nL 183.136876 138.419441 \nL 185.240679 136.841347 \nL 187.174703 135.096361 \nL 188.814661 133.266158 \nL 190.029224 131.457971 \nL 190.437249 130.601191 \nL 190.693557 129.798172 \nL 190.786499 129.06554 \nL 190.707175 128.41913 \nL 190.450002 127.87331 \nL 190.01318 127.440307 \nL 189.39901 127.12959 \nL 188.614044 126.947393 \nL 187.669008 126.8964 \nL 186.578515 126.975641 \nL 184.035949 127.503596 \nL 181.158388 128.460224 \nL 178.135035 129.743104 \nL 175.146361 131.240938 \nL 172.344303 132.852792 \nL 169.84187 134.499251 \nL 167.71187 136.124914 \nL 165.992087 137.694669 \nL 164.69367 139.187235 \nL 163.810084 140.588673 \nL 163.324998 141.887306 \nL 163.218398 143.070445 \nL 163.470806 144.122564 \nL 164.065788 145.024511 \nL 164.991053 145.753284 \nL 166.23836 146.282059 \nL 167.802432 146.580405 \nL 169.678889 146.614697 \nL 171.861199 146.348979 \nL 174.336478 145.746534 \nL 177.080044 144.772765 \nL 180.048665 143.399842 \nL 183.172747 141.613819 \nL 186.348238 139.424451 \nL 189.429937 136.877441 \nL 192.229018 134.067269 \nL 193.45282 132.608892 \nL 194.518794 131.146842 \nL 195.395684 129.709423 \nL 196.05298 128.327777 \nL 196.462325 127.034861 \nL 196.599077 125.864112 \nL 196.443917 124.847779 \nL 195.984415 124.015061 \nL 195.216347 123.390196 \nL 194.144618 122.990704 \nL 192.783654 122.826025 \nL 191.15714 122.896714 \nL 189.297095 123.194369 \nL 187.242344 123.702347 \nL 185.036493 124.397163 \nL 180.356194 126.231174 \nL 175.615155 128.4506 \nL 171.116853 130.831027 \nL 167.076143 133.209464 \nL 163.614861 135.493032 \nL 160.777012 137.645306 \nL 158.551882 139.664292 \nL 156.896567 141.562635 \nL 155.753897 143.354363 \nL 155.064878 145.048117 \nL 154.776395 146.644935 \nL 154.845379 148.138471 \nL 155.240609 149.516124 \nL 155.943028 150.760118 \nL 156.945222 151.848152 \nL 158.25042 152.75345 \nL 159.871194 153.444263 \nL 161.827827 153.882934 \nL 164.146198 154.024695 \nL 166.854783 153.816502 \nL 169.980274 153.196329 \nL 173.541011 152.093644 \nL 177.537327 150.432308 \nL 181.937799 148.13758 \nL 184.266643 146.732903 \nL 186.660786 145.149774 \nL 189.098438 143.386837 \nL 191.551727 141.447139 \nL 193.986005 139.339447 \nL 196.359347 137.079661 \nL 198.622349 134.692245 \nL 200.718371 132.21149 \nL 202.584406 129.682446 \nL 204.152747 127.16117 \nL 205.353574 124.71405 \nL 206.118526 122.415834 \nL 206.3852 120.346194 \nL 206.102318 118.584711 \nL 205.235076 117.20459 \nL 203.770024 116.265635 \nL 201.71865 115.807474 \nL 199.118898 115.844241 \nL 196.034057 116.361834 \nL 192.548862 117.318594 \nL 188.763256 118.64958 \nL 184.784617 120.273794 \nL 180.719698 122.103072 \nL 172.713357 126.040492 \nL 165.358478 129.909709 \nL 156.23641 134.983848 \nL 151.524473 137.820443 \nL 147.807035 140.314723 \nL 144.929512 142.575713 \nL 142.724974 144.693775 \nL 141.036638 146.7298 \nL 139.727749 148.717829 \nL 138.684131 150.672406 \nL 137.41787 153.54521 \nL 134.748067 159.885675 \nL 133.352286 162.407088 \nL 132.241659 164.014743 \nL 130.941371 165.560553 \nL 129.408378 167.040096 \nL 127.594368 168.445555 \nL 125.444549 169.763225 \nL 122.896982 170.970004 \nL 119.882831 172.02844 \nL 116.328271 172.879781 \nL 114.324989 173.201328 \nL 112.159256 173.434478 \nL 109.823343 173.561188 \nL 107.311101 173.559793 \nL 104.618741 173.404507 \nL 101.745829 173.064952 \nL 98.696533 172.505774 \nL 95.481156 171.686431 \nL 92.117956 170.561301 \nL 88.635249 169.080255 \nL 85.07372 167.189958 \nL 81.488789 164.836138 \nL 77.952812 161.967139 \nL 74.556652 158.539036 \nL 71.41014 154.522445 \nL 68.640673 149.910946 \nL 66.389189 144.730591 \nL 64.802861 139.049327 \nL 64.024195 132.98452 \nL 64.176929 126.706132 \nL 65.350155 120.432875 \nL 67.583158 114.419468 \nL 70.854218 108.934655 \nL 75.076643 104.23227 \nL 80.104059 100.52038 \nL 85.744792 97.934978 \nL 91.782791 96.524554 \nL 98.000668 96.249026 \nL 104.200201 96.992691 \nL 110.216796 98.587064 \nL 115.926539 100.837596 \nL 121.246507 103.548322 \nL 126.130272 106.540541 \nL 130.560937 109.663958 \nL 134.543601 112.800952 \nL 138.098491 115.86566 \nL 141.255378 118.799963 \nL 146.517776 124.151342 \nL 150.62763 128.743964 \nL 156.491207 135.805604 \nL 159.707194 139.556934 \nL 161.606182 141.456539 \nL 163.452195 142.933109 \nL 165.337075 144.017751 \nL 167.330269 144.727032 \nL 169.481933 145.065284 \nL 171.824398 145.027226 \nL 174.371833 144.601155 \nL 177.118051 143.773152 \nL 180.032571 142.532745 \nL 183.05535 140.880578 \nL 186.091099 138.838178 \nL 189.004955 136.459388 \nL 191.622117 133.84169 \nL 192.75544 132.487687 \nL 193.735015 131.133856 \nL 194.532764 129.8066 \nL 195.121556 128.534578 \nL 195.476458 127.347791 \nL 195.576103 126.276341 \nL 195.404112 125.348987 \nL 194.950387 124.591542 \nL 194.212222 124.025241 \nL 193.195039 123.665297 \nL 191.912655 123.519778 \nL 190.387012 123.588988 \nL 188.647331 123.865456 \nL 186.728777 124.334563 \nL 184.670718 124.97575 \nL 180.302804 126.672566 \nL 175.86885 128.739223 \nL 171.647178 130.974809 \nL 167.839294 133.229207 \nL 164.564416 135.412244 \nL 161.871336 137.483549 \nL 159.757958 139.434463 \nL 158.191123 141.27093 \nL 157.122914 143.001528 \nL 156.502325 144.630921 \nL 156.282738 146.157329 \nL 156.426157 147.572294 \nL 156.905165 148.861344 \nL 157.703409 150.004777 \nL 158.815167 150.978099 \nL 160.244317 151.75197 \nL 162.002852 152.291718 \nL 164.108864 152.556577 \nL 166.583785 152.498839 \nL 169.448464 152.063336 \nL 172.717508 151.187863 \nL 176.391136 149.805458 \nL 180.443785 147.849959 \nL 184.808921 145.266666 \nL 187.072128 143.729873 \nL 189.360361 142.030265 \nL 191.645223 140.173638 \nL 193.892231 138.171394 \nL 196.060557 136.041719 \nL 198.103067 133.810696 \nL 199.966832 131.513179 \nL 201.594192 129.193278 \nL 202.924543 126.904174 \nL 203.896892 124.707068 \nL 204.4532 122.668998 \nL 204.542352 120.859469 \nL 204.124551 119.345906 \nL 203.175613 118.188242 \nL 201.690651 117.43326 \nL 199.686491 117.109403 \nL 197.202274 117.22307 \nL 194.297895 117.757141 \nL 191.050307 118.672295 \nL 187.548076 119.910995 \nL 183.884946 121.403599 \nL 176.43854 124.854383 \nL 169.341464 128.486085 \nL 163.014324 131.931977 \nL 157.65624 135.029401 \nL 153.294414 137.768057 \nL 149.849977 140.214969 \nL 147.193127 142.456114 \nL 145.17997 144.56497 \nL 143.673423 146.592003 \nL 142.553138 148.565746 \nL 141.718743 150.498329 \nL 140.831105 153.32244 \nL 140.029784 156.925114 \nL 138.709326 163.446037 \nL 137.847608 166.352563 \nL 136.996533 168.394111 \nL 135.892549 170.333291 \nL 134.973129 171.576848 \nL 133.869694 172.785717 \nL 132.543073 173.962465 \nL 130.94619 175.107147 \nL 129.02262 176.21549 \nL 126.705204 177.276136 \nL 123.914967 178.266388 \nL 120.560884 179.145748 \nL 116.541505 179.846275 \nL 114.248951 180.09741 \nL 111.750213 180.258601 \nL 109.033106 180.306509 \nL 106.087204 180.21245 \nL 102.904957 179.94149 \nL 99.483165 179.451542 \nL 95.824895 178.692533 \nL 91.941908 177.605813 \nL 87.85764 176.124013 \nL 83.610754 174.171713 \nL 79.259154 171.667339 \nL 74.884202 168.526894 \nL 70.59466 164.670165 \nL 66.529531 160.030008 \nL 62.858602 154.565097 \nL 59.779156 148.275889 \nL 57.507213 141.222431 \nL 56.261953 133.541173 \nL 56.243116 125.456127 \nL 57.603209 117.278627 \nL 60.418895 109.390291 \nL 64.66826 102.206772 \nL 70.221333 96.125592 \nL 76.848973 91.467938 \nL 84.250174 88.429016 \nL 92.091966 87.051011 \nL 100.051764 87.226228 \nL 107.852009 88.728065 \nL 115.280595 91.258969 \nL 122.196067 94.501185 \nL 128.520981 98.158343 \nL 134.228774 101.9818 \nL 139.329011 105.781518 \nL 143.854208 109.425056 \nL 151.366061 115.950707 \nL 159.550104 123.536888 \nL 166.579275 130.08653 \nL 170.099394 133.066816 \nL 171.951345 134.39596 \nL 173.54698 135.315305 \nL 174.967063 135.898609 \nL 176.264896 136.203148 \nL 177.471523 136.274938 \nL 178.6 136.153015 \nL 179.649003 135.872761 \nL 181.043814 135.230549 \nL 182.15646 134.428143 \nL 182.896548 133.591047 \nL 183.141431 133.076745 \nL 183.166905 132.639076 \nL 182.965944 132.308687 \nL 182.543334 132.109136 \nL 181.91651 132.055018 \nL 180.660794 132.254019 \nL 179.153498 132.7642 \nL 177.560192 133.523545 \nL 176.045779 134.449202 \nL 174.752289 135.453761 \nL 173.786389 136.455832 \nL 173.216657 137.384062 \nL 173.075084 137.930971 \nL 173.128382 138.400956 \nL 173.374785 138.778769 \nL 173.808338 139.050283 \nL 174.419147 139.202617 \nL 175.636184 139.183598 \nL 177.154098 138.84391 \nL 178.880604 138.174456 \nL 180.692107 137.194061 \nL 182.431935 135.959497 \nL 183.915975 134.57268 \nL 184.666914 133.634209 \nL 185.163476 132.743967 \nL 185.36091 131.955897 \nL 185.229288 131.321246 \nL 184.758375 130.88295 \nL 183.960696 130.670528 \nL 182.87192 130.696572 \nL 181.5482 130.955779 \nL 180.060777 131.426724 \nL 177.696312 132.454815 \nL 175.404502 133.745393 \nL 173.406824 135.161512 \nL 171.860843 136.586758 \nL 171.129234 137.495767 \nL 170.654459 138.345312 \nL 170.442145 139.115529 \nL 170.491833 139.787896 \nL 170.798656 140.344442 \nL 171.354442 140.767322 \nL 172.148163 141.038767 \nL 173.165753 141.141406 \nL 174.389326 141.058987 \nL 175.795859 140.777517 \nL 177.355462 140.286885 \nL 179.029389 139.583009 \nL 180.768118 138.670476 \nL 182.509844 137.5655 \nL 184.18003 136.298865 \nL 185.692636 134.91823 \nL 186.953805 133.488859 \nL 187.868479 132.091782 \nL 188.349928 130.818428 \nL 188.406206 130.2574 \nL 188.331336 129.76157 \nL 188.122005 129.340795 \nL 187.777482 129.003475 \nL 187.299788 128.756214 \nL 186.693771 128.603547 \nL 185.129797 128.588761 \nL 183.175674 128.949943 \nL 180.951355 129.645317 \nL 178.591376 130.610233 \nL 176.228713 131.769877 \nL 173.981394 133.051105 \nL 171.944074 134.390593 \nL 170.185014 135.738306 \nL 168.747482 137.057063 \nL 167.653941 138.319729 \nL 166.911361 139.505622 \nL 166.516469 140.597204 \nL 166.460199 141.577574 \nL 166.730986 142.428831 \nL 167.316877 143.131188 \nL 168.206501 143.662633 \nL 169.388995 143.999018 \nL 170.852993 144.114509 \nL 172.584702 143.98245 \nL 174.565112 143.576832 \nL 176.766364 142.874588 \nL 179.147386 141.858989 \nL 181.649064 140.524392 \nL 184.189576 138.88237 \nL 186.660922 136.968856 \nL 188.928254 134.851184 \nL 190.834073 132.632962 \nL 192.209348 130.453751 \nL 192.646606 129.430241 \nL 192.892641 128.480159 \nL 192.932734 127.625355 \nL 192.756065 126.886389 \nL 192.356522 126.281496 \nL 191.733358 125.825582 \nL 190.891589 125.529343 \nL 189.842108 125.398605 \nL 188.601465 125.433981 \nL 187.191283 125.630888 \nL 183.968734 126.467509 \nL 180.410711 127.789907 \nL 176.762746 129.447876 \nL 173.244045 131.293857 \nL 170.024492 133.207621 \nL 167.216842 135.106169 \nL 164.881171 136.940973 \nL 163.036201 138.688386 \nL 161.672632 140.33879 \nL 160.765277 141.887751 \nL 160.282612 143.330294 \nL 160.193467 144.657862 \nL 160.471207 145.857145 \nL 161.095956 146.909842 \nL 162.055345 147.79281 \nL 163.344173 148.478169 \nL 164.963201 148.933337 \nL 166.917099 149.120951 \nL 169.211478 148.999001 \nL 171.848746 148.521471 \nL 174.822428 147.640086 \nL 178.109625 146.307963 \nL 181.661343 144.486142 \nL 185.390924 142.154049 \nL 189.161721 139.324679 \nL 191.003527 137.74147 \nL 192.776681 136.06396 \nL 194.446507 134.312064 \nL 195.974809 132.511343 \nL 197.320657 130.693159 \nL 198.441566 128.894448 \nL 199.295103 127.156999 \nL 199.840914 125.526136 \nL 200.043085 124.048769 \nL 199.87271 122.770863 \nL 199.310415 121.734434 \nL 198.348602 120.974381 \nL 196.99306 120.515514 \nL 195.263708 120.370138 \nL 193.194218 120.536725 \nL 190.830484 120.999828 \nL 188.228044 121.731454 \nL 185.448716 122.693648 \nL 182.556858 123.842009 \nL 176.684028 126.51051 \nL 171.048876 129.392488 \nL 165.962733 132.237247 \nL 161.596148 134.910727 \nL 158.002191 137.373632 \nL 155.153673 139.642583 \nL 152.978504 141.755636 \nL 151.386414 143.750417 \nL 150.286334 145.654171 \nL 149.596305 147.481605 \nL 149.248211 149.236628 \nL 149.189318 150.91525 \nL 149.382004 152.508309 \nL 149.802643 154.003381 \nL 150.440219 155.385839 \nL 151.295002 156.639106 \nL 152.377452 157.744255 \nL 153.707392 158.679096 \nL 155.313379 159.416814 \nL 157.232174 159.924192 \nL 159.508037 160.159466 \nL 162.191507 160.069849 \nL 165.337091 159.588911 \nL 168.998982 158.634241 \nL 173.22358 157.106274 \nL 175.556333 156.091824 \nL 178.037035 154.890026 \nL 180.662589 153.485335 \nL 183.42569 151.862726 \nL 186.31368 150.008612 \nL 189.307246 147.912066 \nL 192.378976 145.566434 \nL 195.491863 142.971333 \nL 198.597842 140.135078 \nL 201.636546 137.077433 \nL 204.534529 133.832547 \nL 207.205253 130.451784 \nL 209.550276 127.005956 \nL 211.462018 123.586349 \nL 212.828518 120.303708 \nL 213.540375 117.284389 \nL 213.4998 114.662989 \nL 212.631116 112.571327 \nL 210.891532 111.124439 \nL 208.280355 110.405337 \nL 204.844559 110.451401 \nL 200.678836 111.245646 \nL 195.919192 112.715749 \nL 190.730653 114.742064 \nL 185.291114 117.173358 \nL 179.774464 119.846992 \nL 169.102935 125.329113 \nL 151.63966 134.371766 \nL 138.163102 141.280717 \nL 134.723258 143.300992 \nL 132.010174 145.151699 \nL 129.802555 146.918602 \nL 127.045922 149.488426 \nL 122.830799 153.536576 \nL 120.997371 155.012423 \nL 118.973765 156.359529 \nL 116.705885 157.53817 \nL 114.149866 158.50004 \nL 111.273197 159.185218 \nL 108.058341 159.518843 \nL 106.324253 159.5256 \nL 104.509298 159.408224 \nL 102.618969 159.152177 \nL 100.661534 158.741877 \nL 98.648518 158.16095 \nL 96.595204 157.392599 \nL 94.521133 156.420179 \nL 92.450544 155.227974 \nL 90.412714 153.802225 \nL 88.442122 152.132406 \nL 86.578327 150.21277 \nL 84.865501 148.044082 \nL 83.351478 145.635469 \nL 82.086282 143.006218 \nL 81.120044 140.187293 \nL 80.500401 137.222302 \nL 80.269417 134.167612 \nL 80.460317 131.091312 \nL 81.094324 128.070826 \nL 82.177997 125.189169 \nL 83.701493 122.530051 \nL 85.638113 120.172228 \nL 87.94526 118.183802 \nL 90.566879 116.617229 \nL 93.437034 115.505726 \nL 96.484224 114.861599 \nL 99.635893 114.676648 \nL 102.822558 114.924485 \nL 105.981185 115.564319 \nL 109.057537 116.545458 \nL 112.007454 117.811988 \nL 114.797151 119.306985 \nL 117.402773 120.975894 \nL 119.809398 122.768941 \nL 122.009757 124.642584 \nL 124.002844 126.56013 \nL 125.792552 128.491692 \nL 127.386429 130.413738 \nL 128.794588 132.30836 \nL 131.101729 135.966904 \nL 132.815712 139.405581 \nL 134.037313 142.60351 \nL 134.856943 145.563534 \nL 135.350287 148.300874 \nL 135.577077 150.836185 \nL 135.581638 153.191536 \nL 135.394275 155.388208 \nL 135.032918 157.445599 \nL 134.504662 159.380726 \nL 133.807009 161.208002 \nL 132.92874 162.939125 \nL 131.85041 164.582854 \nL 130.544479 166.144554 \nL 128.975182 167.625354 \nL 127.098231 169.020697 \nL 124.860573 170.318035 \nL 122.200488 171.493311 \nL 119.048593 172.505749 \nL 115.330626 173.290404 \nL 113.236202 173.567955 \nL 110.97345 173.747935 \nL 108.535276 173.810373 \nL 105.916539 173.731352 \nL 103.114947 173.482512 \nL 100.132205 173.030596 \nL 96.975416 172.337139 \nL 93.658798 171.358377 \nL 90.205694 170.045588 \nL 86.650829 168.345993 \nL 83.042732 166.204549 \nL 79.446109 163.566896 \nL 75.943823 160.383754 \nL 72.638014 156.617036 \nL 69.649688 152.247696 \nL 67.116 147.285007 \nL 65.184473 141.776443 \nL 64.00362 135.816605 \nL 63.709972 129.552904 \nL 64.412458 123.185381 \nL 66.176154 116.958091 \nL 69.008541 111.140901 \nL 72.851654 106.002705 \nL 77.583028 101.779959 \nL 83.026364 98.646737 \nL 88.970392 96.693259 \nL 95.192088 95.917933 \nL 101.479356 96.234553 \nL 107.648845 97.491897 \nL 113.556506 99.500161 \nL 119.10069 102.057785 \nL 124.219355 104.973569 \nL 128.883726 108.081438 \nL 133.090611 111.247646 \nL 136.854976 114.3718 \nL 140.203653 117.383832 \nL 145.792579 122.911598 \nL 150.155105 127.675337 \nL 155.030728 133.425465 \nL 159.6716 138.901252 \nL 161.607066 140.874598 \nL 163.463975 142.413659 \nL 165.339184 143.553698 \nL 167.305903 144.314946 \nL 169.417078 144.704989 \nL 171.707217 144.721473 \nL 174.192436 144.355304 \nL 176.868704 143.594748 \nL 179.708394 142.430879 \nL 182.655519 140.864817 \nL 185.620535 138.916917 \nL 188.476289 136.637503 \nL 191.05755 134.117563 \nL 192.184565 132.808919 \nL 193.167358 131.496186 \nL 193.979052 130.204193 \nL 194.593503 128.959997 \nL 194.98646 127.792062 \nL 195.136824 126.729171 \nL 195.027987 125.799094 \nL 194.649068 125.027117 \nL 193.995995 124.434517 \nL 193.072271 124.037169 \nL 191.889324 123.844439 \nL 190.466363 123.858463 \nL 188.829708 124.074043 \nL 187.01165 124.479076 \nL 185.048894 125.055524 \nL 180.847403 126.629874 \nL 176.5387 128.59417 \nL 172.398228 130.753096 \nL 168.631858 132.954925 \nL 165.367322 135.103722 \nL 162.663097 137.15237 \nL 160.525946 139.086508 \nL 158.929806 140.908175 \nL 157.83189 142.623703 \nL 157.18456 144.236701 \nL 156.943159 145.745008 \nL 157.070605 147.140056 \nL 157.539648 148.407331 \nL 158.333566 149.527016 \nL 159.445855 150.474399 \nL 160.879252 151.21986 \nL 162.644217 151.728482 \nL 164.756831 151.959381 \nL 167.235885 151.865053 \nL 170.098764 151.391117 \nL 173.355563 150.477089 \nL 177.000761 149.059145 \nL 181.001769 147.076243 \nL 185.284005 144.481355 \nL 187.491432 142.947871 \nL 189.713059 141.259688 \nL 191.919722 139.424285 \nL 194.076467 137.454799 \nL 196.142395 135.371077 \nL 198.070872 133.200643 \nL 199.810155 130.979371 \nL 201.304635 128.751725 \nL 202.496713 126.570351 \nL 203.329396 124.494746 \nL 203.749598 122.588936 \nL 203.71193 120.918032 \nL 203.182744 119.543802 \nL 202.143971 118.519637 \nL 200.596222 117.885401 \nL 198.560594 117.663048 \nL 196.078727 117.853687 \nL 193.210895 118.436845 \nL 190.032209 119.372235 \nL 186.627386 120.603855 \nL 183.084791 122.065799 \nL 175.9236 125.406411 \nL 169.130029 128.902129 \nL 163.087818 132.223295 \nL 157.976789 135.22532 \nL 153.819514 137.899747 \nL 150.541438 140.306755 \nL 148.021151 142.523208 \nL 146.124204 144.614647 \nL 144.722546 146.625876 \nL 143.703919 148.581873 \nL 142.975061 150.492756 \nL 142.461444 152.359243 \nL 141.972132 155.066053 \nL 141.644476 158.470776 \nL 141.505981 162.349147 \nL 141.558491 167.640245 \nL 141.822132 171.879312 \nL 142.215115 174.442642 \nL 142.635289 175.877356 \nL 143.076566 176.809442 \nL 143.668672 177.612095 \nL 144.465284 178.273102 \nL 145.539576 178.770911 \nL 146.991156 179.069915 \nL 148.233427 179.131725 \nL 149.753607 179.055691 \nL 151.613828 178.808105 \nL 153.88906 178.342939 \nL 156.668761 177.597337 \nL 160.057814 176.485607 \nL 164.175743 174.891546 \nL 169.152343 172.659331 \nL 175.116412 169.584374 \nL 178.503298 167.652086 \nL 182.172161 165.407973 \nL 186.124947 162.812362 \nL 190.354863 159.824524 \nL 194.843054 156.404929 \nL 199.554514 152.518694 \nL 204.433265 148.140603 \nL 209.396928 143.261999 \nL 214.331073 137.899777 \nL 219.084073 132.107388 \nL 223.463597 125.987176 \nL 227.23656 119.702463 \nL 230.1348 113.48641 \nL 231.86916 107.643196 \nL 232.154213 102.535807 \nL 230.744175 98.55487 \nL 227.477151 96.066175 \nL 222.319618 95.341392 \nL 215.398217 96.486981 \nL 207.004418 99.395135 \nL 197.563136 103.740848 \nL 187.569048 109.035596 \nL 158.711956 125.344946 \nL 150.44138 129.643827 \nL 143.047161 133.095658 \nL 136.522186 135.71737 \nL 130.814364 137.593024 \nL 125.849906 138.836922 \nL 121.548925 139.568064 \nL 117.834476 139.89565 \nL 114.636968 139.912848 \nL 111.895724 139.695712 \nL 109.558936 139.304836 \nL 107.582848 138.788044 \nL 105.930615 138.183233 \nL 104.571093 137.520885 \nL 103.477683 136.826098 \nL 102.627284 136.120102 \nL 101.99938 135.421317 \nL 101.575276 134.746038 \nL 101.337474 134.108825 \nL 101.269189 133.522657 \nL 101.354005 132.998979 \nL 101.575646 132.547636 \nL 101.917862 132.176762 \nL 102.364408 131.892689 \nL 102.899112 131.699879 \nL 104.169348 131.596447 \nL 105.605658 131.865254 \nL 107.095885 132.479502 \nL 108.543226 133.393259 \nL 109.868983 134.549031 \nL 111.013183 135.884887 \nL 111.933321 137.340065 \nL 112.601861 138.858543 \nL 113.003167 140.390762 \nL 113.130467 141.893818 \nL 112.983209 143.330675 \nL 112.565077 144.668767 \nL 111.882754 145.878372 \nL 110.945487 146.931016 \nL 109.765425 147.798033 \nL 108.358693 148.449463 \nL 106.747153 148.853484 \nL 104.960766 148.976528 \nL 103.040332 148.784415 \nL 101.040331 148.244858 \nL 99.031295 147.331589 \nL 97.100943 146.030383 \nL 95.353015 144.346679 \nL 94.583221 143.370561 \nL 93.902704 142.314052 \nL 93.326204 141.18698 \nL 92.867826 140.001695 \nL 92.54055 138.773048 \nL 92.355695 137.518266 \nL 92.322394 136.256646 \nL 92.447105 135.009136 \nL 92.733173 133.797737 \nL 93.180521 132.644806 \nL 93.785462 131.572257 \nL 94.540691 130.600739 \nL 95.435426 129.748808 \nL 96.455757 129.032211 \nL 97.585107 128.463289 \nL 98.804829 128.050578 \nL 100.094894 127.798607 \nL 101.434581 127.707931 \nL 102.803168 127.775368 \nL 104.180552 127.994397 \nL 105.547788 128.355693 \nL 106.887506 128.847739 \nL 108.184213 129.457466 \nL 109.424469 130.170864 \nL 111.692428 131.851229 \nL 113.625215 133.777194 \nL 115.185583 135.848835 \nL 116.358801 137.983054 \nL 117.14566 140.114324 \nL 117.556164 142.192668 \nL 117.604483 144.180343 \nL 117.305373 146.048129 \nL 116.671976 147.771764 \nL 115.714886 149.328732 \nL 114.442309 150.695409 \nL 112.861239 151.844568 \nL 110.97964 152.743217 \nL 108.809671 153.350882 \nL 106.37205 153.61855 \nL 103.701609 153.488764 \nL 102.295427 153.255007 \nL 100.853863 152.89766 \nL 99.38826 152.408554 \nL 97.912113 151.779977 \nL 96.441238 151.005066 \nL 94.993852 150.078323 \nL 93.590585 148.996181 \nL 92.254358 147.757672 \nL 91.010114 146.365128 \nL 89.884373 144.824922 \nL 88.904576 143.148137 \nL 88.098234 141.351143 \nL 87.491868 139.455973 \nL 87.109789 137.490405 \nL 86.972777 135.487688 \nL 87.096754 133.485813 \nL 87.491552 131.526331 \nL 88.159926 129.652725 \nL 89.096912 127.90843 \nL 90.289638 126.334638 \nL 91.717646 124.968126 \nL 93.353707 123.839244 \nL 95.165111 122.97036 \nL 97.115242 122.374876 \nL 99.165365 122.056941 \nL 101.276414 122.011809 \nL 103.410627 122.226817 \nL 105.532925 122.682815 \nL 107.611958 123.355823 \nL 109.620773 124.218798 \nL 111.537138 125.243287 \nL 113.343546 126.400852 \nL 115.027009 127.664237 \nL 116.578639 129.008194 \nL 117.99315 130.410014 \nL 119.268297 131.849795 \nL 120.404312 133.31051 \nL 122.26907 136.240257 \nL 123.619503 139.114292 \nL 124.498178 141.879669 \nL 124.948848 144.506293 \nL 125.010458 146.978983 \nL 124.713715 149.291176 \nL 124.0795 151.440177 \nL 123.118516 153.423523 \nL 121.831799 155.236063 \nL 120.211847 156.867325 \nL 118.244363 158.298887 \nL 115.910739 159.501457 \nL 113.191661 160.431582 \nL 111.682587 160.776115 \nL 110.072327 161.027926 \nL 108.360976 161.175936 \nL 106.550026 161.207517 \nL 104.642787 161.108441 \nL 102.644874 160.862895 \nL 100.564751 160.453584 \nL 98.414339 159.861945 \nL 96.209653 159.068539 \nL 93.971459 158.053647 \nL 91.725874 156.79812 \nL 89.504884 155.284529 \nL 87.34666 153.49867 \nL 85.295571 151.431374 \nL 83.40177 149.080649 \nL 81.720215 146.454001 \nL 80.309018 143.57076 \nL 79.227038 140.464155 \nL 78.530732 137.182746 \nL 78.270384 133.79081 \nL 78.486016 130.367295 \nL 79.203359 127.002998 \nL 80.430454 123.795951 \nL 82.155428 120.845237 \nL 84.345907 118.243775 \nL 86.950352 116.071088 \nL 89.901251 114.386971 \nL 93.119801 113.227101 \nL 96.521464 112.601247 \nL 100.021619 112.494259 \nL 103.540615 112.869461 \nL 107.007707 113.673838 \nL 110.363575 114.843987 \nL 113.561483 116.312018 \nL 116.567226 118.010625 \nL 119.358205 119.87696 \nL 121.921957 121.855187 \nL 124.254427 123.897786 \nL 126.358214 125.965868 \nL 128.24093 128.028769 \nL 129.913763 130.063205 \nL 131.390265 132.052219 \nL 133.814643 135.851227 \nL 135.637611 139.3766 \nL 136.977295 142.619589 \nL 137.937869 145.593088 \nL 138.60627 148.319987 \nL 139.208727 152.005254 \nL 139.476325 155.279996 \nL 139.515454 158.218138 \nL 139.310183 161.714156 \nL 138.853364 164.827353 \nL 138.335516 166.961932 \nL 137.635095 168.957331 \nL 136.702714 170.839017 \nL 135.467357 172.629615 \nL 134.428426 173.782259 \nL 133.174845 174.906903 \nL 131.661393 176.005234 \nL 129.833386 177.075122 \nL 127.625205 178.108185 \nL 124.958997 179.085971 \nL 121.74399 179.974081 \nL 117.877308 180.713231 \nL 113.247847 181.20607 \nL 110.612315 181.314798 \nL 107.746016 181.298385 \nL 104.638781 181.12453 \nL 101.283953 180.753933 \nL 97.680122 180.139307 \nL 93.833365 179.224536 \nL 89.760074 177.944161 \nL 85.490399 176.223469 \nL 81.072286 173.979622 \nL 76.57596 171.124374 \nL 72.098468 167.569042 \nL 67.767603 163.232495 \nL 63.744172 158.052754 \nL 60.22107 152.002418 \nL 57.417392 145.107179 \nL 55.565775 137.465278 \nL 54.891936 129.263805 \nL 55.587079 120.785976 \nL 57.776449 112.402791 \nL 61.490352 104.544284 \nL 66.64578 97.650328 \nL 73.046029 92.108554 \nL 80.401466 88.19348 \nL 88.367966 86.023947 \nL 96.593405 85.551315 \nL 104.760233 86.581014 \nL 112.614668 88.819026 \nL 119.978736 91.92811 \nL 126.747261 95.578559 \nL 132.875336 99.483919 \nL 138.362207 103.41891 \nL 143.235938 107.22238 \nL 151.329938 114.065303 \nL 160.132078 121.994441 \nL 167.609276 128.732788 \nL 171.240892 131.739744 \nL 173.865263 133.577602 \nL 175.248978 134.334607 \nL 176.427939 134.808444 \nL 177.911801 135.114774 \nL 179.125863 135.070409 \nL 180.095591 134.797803 \nL 180.809853 134.401545 \nL 181.242243 133.975135 \nL 181.369156 133.601132 \nL 181.279883 133.415032 \nL 180.896563 133.2683 \nL 180.252 133.305581 \nL 179.107096 133.645458 \nL 177.833056 134.264102 \nL 176.656148 135.058503 \nL 175.771658 135.905429 \nL 175.384737 136.501705 \nL 175.272833 137.012581 \nL 175.447412 137.397149 \nL 175.900381 137.620976 \nL 176.605193 137.657554 \nL 177.517217 137.490664 \nL 178.944321 136.949635 \nL 180.427904 136.088301 \nL 181.724573 135.018848 \nL 182.418743 134.186061 \nL 182.766342 133.42871 \nL 182.771389 133.01208 \nL 182.583753 132.69491 \nL 182.205571 132.496188 \nL 181.650192 132.427905 \nL 180.539939 132.576624 \nL 179.203675 133.006485 \nL 177.783306 133.665473 \nL 176.006351 134.775741 \nL 174.920996 135.681683 \nL 174.148618 136.569417 \nL 173.744795 137.374651 \nL 173.694215 137.837495 \nL 173.820782 138.223475 \nL 174.121392 138.518836 \nL 174.588888 138.711142 \nL 175.577639 138.783083 \nL 176.86096 138.571504 \nL 178.360513 138.064413 \nL 179.971377 137.272729 \nL 181.560638 136.238303 \nL 182.971146 135.040209 \nL 184.0339 133.795456 \nL 184.469848 133.01102 \nL 184.642462 132.316505 \nL 184.526861 131.755486 \nL 184.114828 131.364534 \nL 183.417191 131.169177 \nL 182.464109 131.18109 \nL 181.302975 131.397226 \nL 179.305438 132.065156 \nL 177.205812 133.05683 \nL 175.225988 134.253021 \nL 173.548503 135.537004 \nL 172.301499 136.808373 \nL 171.74814 137.6078 \nL 171.431149 138.344201 \nL 171.354592 138.998747 \nL 171.517188 139.553754 \nL 171.913472 139.992192 \nL 172.534463 140.297534 \nL 173.367797 140.453925 \nL 174.397359 140.446678 \nL 175.602434 140.263169 \nL 176.956484 139.894086 \nL 178.425702 139.335101 \nL 180.749715 138.148997 \nL 182.298912 137.148223 \nL 183.770411 136.012912 \nL 185.087944 134.787505 \nL 186.170349 133.53061 \nL 186.937483 132.312828 \nL 187.318236 131.211858 \nL 187.259816 130.304916 \nL 187.05667 129.945897 \nL 186.736708 129.659323 \nL 186.302085 129.450508 \nL 185.108926 129.278894 \nL 183.538734 129.438273 \nL 181.682091 129.907705 \nL 179.648072 130.643362 \nL 177.551611 131.587307 \nL 174.523909 133.258 \nL 171.895094 135.067005 \nL 170.464559 136.276068 \nL 169.332737 137.449632 \nL 168.516573 138.563141 \nL 168.021253 139.596289 \nL 167.844125 140.530718 \nL 167.977895 141.348309 \nL 168.412897 142.030121 \nL 169.138382 142.555871 \nL 170.142849 142.903898 \nL 171.41351 143.051491 \nL 172.934901 142.975694 \nL 174.686729 142.65461 \nL 176.641018 142.069365 \nL 178.758687 141.206983 \nL 180.985826 140.064191 \nL 183.250187 138.652258 \nL 185.458723 137.002414 \nL 187.497351 135.171085 \nL 189.234423 133.243378 \nL 190.529351 131.332716 \nL 190.968075 130.425515 \nL 191.247064 129.574314 \nL 191.353512 128.797111 \nL 191.277543 128.1111 \nL 191.012846 127.53192 \nL 190.55721 127.072896 \nL 189.912891 126.744346 \nL 189.086783 126.553031 \nL 188.090356 126.5018 \nL 186.939337 126.589456 \nL 184.254263 127.157535 \nL 181.217286 128.1782 \nL 178.032006 129.538612 \nL 174.891179 131.117638 \nL 171.955167 132.80718 \nL 169.34113 134.524102 \nL 167.122376 136.212247 \nL 165.334672 137.837671 \nL 163.985801 139.381094 \nL 163.065458 140.830663 \nL 162.553783 142.176448 \nL 162.427837 143.40703 \nL 162.666007 144.507707 \nL 163.250588 145.45977 \nL 164.168891 146.240334 \nL 165.413163 146.822376 \nL 166.979508 147.174908 \nL 168.865873 147.263255 \nL 171.069028 147.049688 \nL 173.580393 146.494768 \nL 176.380542 145.559861 \nL 179.432202 144.21153 \nL 182.671906 142.428461 \nL 186.00089 140.211508 \nL 189.27677 137.596764 \nL 192.308828 134.670292 \nL 193.661138 133.133979 \nL 194.861166 131.580824 \nL 195.875005 130.039923 \nL 196.668864 128.54395 \nL 197.210536 127.128224 \nL 197.471069 125.829352 \nL 197.426604 124.683497 \nL 197.060181 123.724321 \nL 196.36338 122.980802 \nL 195.337589 122.475114 \nL 193.994699 122.220836 \nL 192.357106 122.221783 \nL 190.456922 122.471594 \nL 188.334456 122.954255 \nL 186.03607 123.645498 \nL 181.111964 125.528268 \nL 176.079552 127.847928 \nL 171.277848 130.350386 \nL 166.948761 132.849443 \nL 163.229778 135.239688 \nL 160.170339 137.481696 \nL 157.757966 139.576466 \nL 155.943899 141.542113 \nL 154.663354 143.398333 \nL 153.84945 145.15857 \nL 153.441692 146.827633 \nL 153.390476 148.402142 \nL 153.65897 149.872046 \nL 154.223404 151.222072 \nL 155.072503 152.432713 \nL 156.2065 153.480481 \nL 157.635968 154.337558 \nL 159.380508 154.9709 \nL 161.467197 155.340912 \nL 163.928521 155.399902 \nL 166.799362 155.090583 \nL 170.112359 154.345087 \nL 173.890764 153.085341 \nL 178.137645 151.226147 \nL 180.428469 150.045006 \nL 182.820236 148.683164 \nL 185.299742 147.132798 \nL 187.848564 145.388694 \nL 190.44215 143.449417 \nL 193.048908 141.318688 \nL 195.629412 139.006945 \nL 198.135805 136.533064 \nL 200.511604 133.92604 \nL 202.692054 131.226501 \nL 204.605264 128.487709 \nL 206.174325 125.775748 \nL 207.320595 123.168451 \nL 207.968188 120.752688 \nL 208.049523 118.619784 \nL 207.511618 116.85903 \nL 206.322408 115.549721 \nL 204.476202 114.752604 \nL 201.997255 114.502079 \nL 198.940488 114.800667 \nL 195.388851 115.617256 \nL 191.447353 116.889743 \nL 187.23457 118.532039 \nL 182.872954 120.444109 \nL 174.157975 124.673911 \nL 162.37961 130.853002 \nL 153.153205 135.940984 \nL 148.469731 138.716069 \nL 144.802085 141.139556 \nL 141.964135 143.338825 \nL 139.769395 145.40967 \nL 138.049447 147.411823 \nL 136.660525 149.375778 \nL 134.943785 152.270068 \nL 131.783347 157.81678 \nL 130.578074 159.562147 \nL 129.210214 161.23998 \nL 127.630971 162.839455 \nL 125.790296 164.346751 \nL 123.635339 165.742534 \nL 121.109765 166.998482 \nL 118.154301 168.072609 \nL 114.709159 168.903036 \nL 112.785368 169.200161 \nL 110.719394 169.40002 \nL 108.506745 169.485461 \nL 106.144817 169.43633 \nL 103.633621 169.229178 \nL 100.976656 168.837029 \nL 98.181991 168.22927 \nL 95.263509 167.371747 \nL 92.242345 166.227193 \nL 89.148453 164.756076 \nL 86.02221 162.918077 \nL 82.915921 160.674341 \nL 79.894999 157.990681 \nL 77.0385 154.841813 \nL 74.438604 151.216634 \nL 72.198626 147.124296 \nL 70.429066 142.600538 \nL 69.24148 137.713364 \nL 68.74011 132.566789 \nL 69.011845 127.301153 \nL 70.115558 122.088542 \nL 72.072495 117.122518 \nL 74.859721 112.602427 \nL 78.408356 108.714003 \nL 82.60766 105.609393 \nL 87.314695 103.390458 \nL 92.368013 102.098834 \nL 97.602839 101.714747 \nL 102.864998 102.164417 \nL 108.021489 103.333916 \nL 112.966626 105.086109 \nL 117.623808 107.277163 \nL 121.9439 109.770077 \nL 125.901429 112.443895 \nL 129.489861 115.19848 \nL 132.716833 117.955688 \nL 135.59991 120.657957 \nL 138.163102 123.265451 \nL 142.442625 128.105205 \nL 145.790464 132.385864 \nL 149.556654 137.780315 \nL 154.015991 144.437699 \nL 155.571839 146.421588 \nL 157.152467 148.06576 \nL 158.836523 149.385646 \nL 160.690193 150.384362 \nL 162.770239 151.052924 \nL 165.125676 151.370479 \nL 167.797809 151.304688 \nL 170.818253 150.812631 \nL 174.204445 149.842866 \nL 177.952086 148.339632 \nL 182.024022 146.250692 \nL 184.157439 144.97433 \nL 186.335497 143.540536 \nL 188.53731 141.950817 \nL 190.736845 140.210673 \nL 192.9025 138.330639 \nL 194.996865 136.32731 \nL 196.976759 134.22435 \nL 198.793658 132.053289 \nL 200.394623 129.853979 \nL 201.723839 127.674506 \nL 202.724829 125.570329 \nL 203.343353 123.602497 \nL 203.530911 121.834797 \nL 203.248596 120.32988 \nL 202.470985 119.144626 \nL 201.189553 118.325098 \nL 199.415103 117.901853 \nL 197.178682 117.886325 \nL 194.530672 118.269016 \nL 191.537977 119.019983 \nL 188.279567 120.091755 \nL 184.84096 121.424217 \nL 181.30837 122.950686 \nL 174.278407 126.323175 \nL 167.718475 129.759367 \nL 161.956428 132.980796 \nL 157.128687 135.881785 \nL 153.231474 138.473751 \nL 150.178315 140.821541 \nL 147.845542 142.998357 \nL 146.101882 145.063276 \nL 144.824988 147.054931 \nL 143.909094 148.993627 \nL 143.267299 150.886439 \nL 142.830878 152.732353 \nL 142.449927 155.401883 \nL 142.275403 158.743567 \nL 142.340368 161.801866 \nL 142.578947 164.557159 \nL 142.985635 167.003247 \nL 143.598002 169.137569 \nL 144.237252 170.528869 \nL 145.084533 171.730554 \nL 145.797817 172.417794 \nL 146.659483 173.004417 \nL 147.70129 173.478456 \nL 148.961871 173.823292 \nL 150.488033 174.016076 \nL 152.336159 174.025572 \nL 154.573615 173.809258 \nL 157.279876 173.309454 \nL 160.546913 172.4483 \nL 164.477876 171.121543 \nL 169.182498 169.191504 \nL 174.766438 166.480583 \nL 177.915176 164.765067 \nL 181.310185 162.768701 \nL 184.951386 160.458704 \nL 188.831072 157.801897 \nL 192.931218 154.766625 \nL 197.220233 151.325592 \nL 201.649201 147.459864 \nL 206.147728 143.164245 \nL 210.619689 138.454152 \nL 214.939452 133.373849 \nL 218.949405 128.005549 \nL 222.460022 122.478232 \nL 225.254113 116.974127 \nL 227.096968 111.729899 \nL 227.753987 107.028818 \nL 227.016199 103.180145 \nL 224.732065 100.483916 \nL 220.840714 99.183256 \nL 215.39865 99.41253 \nL 208.590246 101.155756 \nL 200.714656 104.231515 \nL 192.148315 108.315135 \nL 183.291455 112.9956 \nL 158.291379 126.725022 \nL 151.169641 130.331821 \nL 144.788401 133.285998 \nL 139.136998 135.611798 \nL 134.17199 137.377396 \nL 129.833008 138.670411 \nL 126.053666 139.580876 \nL 122.768255 140.19135 \nL 119.915362 140.572374 \nL 115.291602 140.863667 \nL 111.813954 140.778233 \nL 109.204775 140.502046 \nL 106.485795 139.939727 \nL 104.79336 139.33897 \nL 103.822598 138.77908 \nL 103.371354 138.308759 \nL 103.295294 137.964831 \nL 103.481228 137.774233 \nL 103.833099 137.75132 \nL 104.415337 137.978378 \nL 104.971067 138.458136 \nL 105.366427 139.109762 \nL 105.511767 139.829533 \nL 105.42924 140.347313 \nL 105.180273 140.795978 \nL 104.778148 141.135018 \nL 104.249499 141.330685 \nL 103.633265 141.358339 \nL 102.979108 141.205051 \nL 102.344761 140.872327 \nL 101.791921 140.378545 \nL 101.380484 139.760243 \nL 101.161337 139.071219 \nL 101.168766 138.378622 \nL 101.413964 137.755739 \nL 101.88144 137.272372 \nL 102.529635 136.984709 \nL 103.295898 136.927091 \nL 104.104845 137.107712 \nL 104.878024 137.508973 \nL 105.542862 138.091751 \nL 106.039315 138.801859 \nL 106.323819 139.576865 \nL 106.370811 140.351883 \nL 106.172736 141.063824 \nL 105.739422 141.65424 \nL 105.097501 142.071475 \nL 104.290037 142.272828 \nL 103.376132 142.227431 \nL 102.429734 141.92025 \nL 101.536632 141.356972 \nL 100.788513 140.568869 \nL 100.273589 139.61582 \nL 100.064284 138.585164 \nL 100.117556 137.90761 \nL 100.330222 137.277445 \nL 100.696988 136.727897 \nL 101.20382 136.288705 \nL 101.828694 135.983845 \nL 102.543067 135.829733 \nL 103.313889 135.834214 \nL 104.105877 135.996415 \nL 105.25695 136.51394 \nL 106.267956 137.307278 \nL 107.050379 138.297107 \nL 107.541085 139.394105 \nL 107.702858 140.508169 \nL 107.620507 141.217893 \nL 107.387084 141.873499 \nL 107.008034 142.452922 \nL 106.492679 142.935679 \nL 105.854261 143.302957 \nL 105.11011 143.537829 \nL 104.281862 143.625675 \nL 103.395661 143.554872 \nL 102.482223 143.317748 \nL 101.576595 142.911814 \nL 100.717469 142.341153 \nL 99.945915 141.617848 \nL 99.303424 140.763136 \nL 98.829286 139.808036 \nL 98.557439 138.793044 \nL 98.513139 137.766628 \nL 98.709875 136.782417 \nL 99.147128 135.895226 \nL 99.809413 135.156365 \nL 100.666929 134.608925 \nL 101.677819 134.283889 \nL 102.791704 134.197674 \nL 103.953913 134.351544 \nL 105.109716 134.732762 \nL 106.208012 135.317136 \nL 107.204014 136.072259 \nL 108.06082 136.960921 \nL 108.749961 137.944058 \nL 109.251114 138.983009 \nL 109.551312 140.040985 \nL 109.643924 141.083807 \nL 109.527647 142.08004 \nL 109.205696 143.000755 \nL 108.685295 143.819085 \nL 107.977535 144.509732 \nL 107.097603 145.048593 \nL 106.065339 145.412641 \nL 104.906059 145.580193 \nL 103.651495 145.531638 \nL 102.340664 145.250846 \nL 101.02041 144.727172 \nL 99.745279 143.958128 \nL 98.57635 142.95249 \nL 97.578716 141.733419 \nL 96.817377 140.340975 \nL 96.351654 138.833137 \nL 96.22865 137.284496 \nL 96.476669 135.781932 \nL 97.099954 134.417327 \nL 98.076023 133.27816 \nL 99.356522 132.437631 \nL 100.871728 131.946422 \nL 102.537888 131.827892 \nL 104.265868 132.077625 \nL 105.969465 132.666988 \nL 107.571968 133.549439 \nL 109.01023 134.667835 \nL 110.236222 135.961234 \nL 111.216526 137.370114 \nL 111.930455 138.839705 \nL 112.367539 140.321532 \nL 112.524917 141.773528 \nL 112.405094 143.159259 \nL 112.014236 144.446586 \nL 111.36118 145.606133 \nL 110.457152 146.609793 \nL 109.316205 147.42943 \nL 107.956333 148.035929 \nL 106.40119 148.39876 \nL 104.682319 148.486274 \nL 102.841681 148.266952 \nL 100.934155 147.711989 \nL 99.029482 146.799338 \nL 97.212902 145.519428 \nL 95.583559 143.882184 \nL 94.872781 142.939859 \nL 94.249699 141.924528 \nL 93.727851 140.846057 \nL 93.320053 139.71659 \nL 93.037947 138.550513 \nL 92.891531 137.36429 \nL 92.888685 136.176162 \nL 93.034744 135.005732 \nL 93.332139 133.873414 \nL 93.780134 132.799777 \nL 94.374706 131.804841 \nL 95.108537 130.907327 \nL 95.971206 130.12395 \nL 96.949486 129.468794 \nL 98.02779 128.952806 \nL 99.188713 128.583464 \nL 100.413641 128.364621 \nL 101.683377 128.296552 \nL 102.978744 128.376168 \nL 104.281149 128.597383 \nL 105.573048 128.951595 \nL 106.83832 129.428216 \nL 108.06254 130.015245 \nL 110.339443 131.468644 \nL 112.326006 133.206794 \nL 113.973021 135.130439 \nL 115.255094 137.153285 \nL 116.164526 139.204659 \nL 116.705252 141.228948 \nL 116.887655 143.183209 \nL 116.72463 145.033967 \nL 116.228947 146.753852 \nL 115.411887 148.318489 \nL 114.282965 149.703637 \nL 112.850695 150.882718 \nL 111.124328 151.824681 \nL 109.116586 152.492283 \nL 106.847444 152.841045 \nL 104.348962 152.819148 \nL 101.671042 152.369039 \nL 100.286813 151.964789 \nL 98.887699 151.431512 \nL 97.487681 150.762808 \nL 96.102873 149.953356 \nL 94.751553 148.999424 \nL 93.454085 147.89941 \nL 92.232741 146.654462 \nL 91.111358 145.269102 \nL 90.114824 143.751843 \nL 89.268403 142.115722 \nL 88.596877 140.378716 \nL 88.123518 138.563906 \nL 87.868969 136.699389 \nL 87.850069 134.817814 \nL 88.078721 132.955541 \nL 88.56091 131.1514 \nL 89.295967 129.445106 \nL 90.276191 127.87545 \nL 91.486875 126.478348 \nL 92.906765 125.285004 \nL 94.508967 124.320305 \nL 96.262164 123.601665 \nL 98.132093 123.138383 \nL 100.083109 122.931587 \nL 102.079735 122.974738 \nL 104.088016 123.254635 \nL 106.076667 123.752681 \nL 108.017888 124.44641 \nL 109.887889 125.310973 \nL 111.667105 126.32053 \nL 113.340169 127.449462 \nL 114.895686 128.673307 \nL 116.325863 129.969443 \nL 117.626056 131.317516 \nL 118.794283 132.699649 \nL 120.737258 135.507082 \nL 122.173999 138.296834 \nL 123.138112 141.006026 \nL 123.667789 143.595879 \nL 123.799105 146.044091 \nL 123.561909 148.338483 \nL 122.97768 150.471985 \nL 122.058793 152.438708 \nL 120.80878 154.230764 \nL 119.223368 155.835446 \nL 117.292237 157.232522 \nL 115.001614 158.39137 \nL 112.338006 159.267855 \nL 110.863472 159.581915 \nL 109.293566 159.801047 \nL 107.629432 159.914514 \nL 105.873661 159.910205 \nL 104.030699 159.774632 \nL 102.107297 159.492986 \nL 100.113014 159.049304 \nL 98.060757 158.426727 \nL 95.967331 157.607945 \nL 93.853982 156.575818 \nL 91.746876 155.314242 \nL 89.677453 153.809282 \nL 87.682575 152.050579 \nL 85.804367 150.033005 \nL 84.089656 147.75857 \nL 82.588894 145.238381 \nL 81.354489 142.494532 \nL 80.438515 139.56166 \nL 79.889823 136.487844 \nL 79.75074 133.334516 \nL 80.053574 130.175101 \nL 80.817335 127.092185 \nL 82.045073 124.173218 \nL 83.722332 121.505075 \nL 85.816994 119.167946 \nL 88.280711 117.229365 \nL 91.051841 115.739188 \nL 94.059522 114.726258 \nL 97.228384 114.19719 \nL 100.483279 114.137426 \nL 103.753495 114.514228 \nL 106.976015 115.281029 \nL 110.097658 116.38237 \nL 113.076081 117.758817 \nL 115.8798 119.351187 \nL 118.487464 121.103835 \nL 120.886677 122.966862 \nL 123.072556 124.897314 \nL 125.046256 126.859559 \nL 126.81356 128.825043 \nL 128.383616 130.771663 \nL 129.767864 132.682936 \nL 132.030994 136.356194 \nL 133.710806 139.792001 \nL 134.911658 142.976043 \nL 135.725915 145.915669 \nL 136.2303 148.629045 \nL 136.485192 151.138697 \nL 136.535549 153.467852 \nL 136.412551 155.638531 \nL 136.13542 157.670677 \nL 135.713076 159.581816 \nL 135.145471 161.387034 \nL 134.424531 163.099015 \nL 133.534686 164.728063 \nL 132.453028 166.281955 \nL 131.14914 167.765504 \nL 129.584664 169.179717 \nL 127.712728 170.520344 \nL 125.477402 171.775527 \nL 122.813488 172.922219 \nL 119.647158 173.920814 \nL 115.898332 174.707398 \nL 113.780025 174.99197 \nL 111.48627 175.18291 \nL 109.008693 175.259982 \nL 106.34073 175.198789 \nL 103.478556 174.970174 \nL 100.42225 174.539684 \nL 97.17728 173.86712 \nL 93.756314 172.906329 \nL 90.18138 171.605376 \nL 86.486354 169.907325 \nL 82.719675 167.751927 \nL 78.947092 165.078541 \nL 75.254097 161.830678 \nL 71.747515 157.962472 \nL 68.555521 153.447193 \nL 65.825217 148.287612 \nL 63.71678 142.527324 \nL 62.39351 136.261398 \nL 62.007615 129.643752 \nL 62.682661 122.88813 \nL 64.494922 116.259559 \nL 67.457179 110.054549 \nL 71.509124 104.570959 \nL 76.517853 100.071894 \nL 82.289777 96.750908 \nL 88.592193 94.706918 \nL 95.180009 93.934969 \nL 101.821682 94.334859 \nL 108.319275 95.734287 \nL 114.519853 97.919689 \nL 120.318166 100.667064 \nL 125.652671 103.766867 \nL 130.497748 107.039962 \nL 134.854717 110.344776 \nL 138.743442 113.577475 \nL 142.195424 116.667761 \nL 147.943653 122.269629 \nL 152.422341 127.019043 \nL 163.185529 138.781539 \nL 165.099067 140.356897 \nL 166.968488 141.511795 \nL 168.872775 142.278433 \nL 170.86699 142.675751 \nL 172.984831 142.712901 \nL 175.239625 142.393043 \nL 177.623824 141.717711 \nL 180.107268 140.692052 \nL 182.634714 139.331112 \nL 185.123566 137.666986 \nL 187.463085 135.756241 \nL 189.516971 133.686102 \nL 191.131273 131.577013 \nL 191.724143 130.553787 \nL 192.149214 129.578659 \nL 192.390024 128.672745 \nL 192.432933 127.856804 \nL 192.267954 127.150342 \nL 191.889499 126.570655 \nL 191.296994 126.131924 \nL 190.495228 125.84441 \nL 189.494481 125.713848 \nL 188.3103 125.741142 \nL 186.962997 125.922338 \nL 183.879069 126.708812 \nL 180.465394 127.964767 \nL 176.954872 129.550703 \nL 173.557443 131.327568 \nL 170.438088 133.180016 \nL 167.708658 135.026401 \nL 165.431184 136.817109 \nL 163.627918 138.52625 \nL 162.293596 140.141777 \nL 161.406868 141.6572 \nL 160.939456 143.06602 \nL 160.862684 144.358649 \nL 161.151646 145.521109 \nL 161.787445 146.534686 \nL 162.757992 147.375968 \nL 164.057681 148.016966 \nL 165.686155 148.425152 \nL 167.646202 148.563523 \nL 169.940677 148.390912 \nL 172.568227 147.862893 \nL 175.517515 146.933903 \nL 178.759655 145.561311 \nL 182.238741 143.712355 \nL 185.860871 141.37489 \nL 189.483041 138.57234 \nL 191.233839 137.018174 \nL 192.904792 135.381951 \nL 194.461733 133.684723 \nL 195.867566 131.95283 \nL 197.083117 130.217893 \nL 198.068418 128.516413 \nL 198.78432 126.888883 \nL 199.194483 125.378363 \nL 199.267618 124.028495 \nL 198.979827 122.881019 \nL 198.316823 121.973001 \nL 197.275785 121.333984 \nL 195.866549 120.98347 \nL 194.111957 120.929048 \nL 192.047159 121.165542 \nL 189.717923 121.67536 \nL 187.178056 122.430046 \nL 184.486228 123.392885 \nL 178.885408 125.774709 \nL 173.359033 128.4876 \nL 168.250744 131.259879 \nL 163.774689 133.92252 \nL 160.025305 136.403494 \nL 157.007717 138.696791 \nL 154.671734 140.82856 \nL 152.940093 142.832282 \nL 151.728251 144.735346 \nL 150.956559 146.554238 \nL 150.556773 148.294701 \nL 150.47484 149.953905 \nL 150.671446 151.522922 \nL 151.121387 152.988688 \nL 151.812439 154.33515 \nL 152.744127 155.543605 \nL 153.926594 156.592375 \nL 155.379638 157.455888 \nL 157.131845 158.103283 \nL 159.219668 158.496624 \nL 161.68614 158.588777 \nL 164.578782 158.321127 \nL 167.945987 157.621475 \nL 171.830898 156.4028 \nL 176.261362 154.564163 \nL 178.681978 153.378185 \nL 181.234222 151.996065 \nL 183.909055 150.404956 \nL 186.692121 148.593805 \nL 189.562575 146.554566 \nL 192.491794 144.283747 \nL 195.442107 141.784278 \nL 198.365585 139.06772 \nL 201.203155 136.156686 \nL 203.884161 133.087329 \nL 206.326743 129.911585 \nL 208.43933 126.698732 \nL 210.123607 123.535708 \nL 211.279197 120.525508 \nL 211.810182 117.783044 \nL 211.633251 115.428016 \nL 210.686811 113.574879 \nL 208.93995 112.320701 \nL 206.399705 111.732473 \nL 203.114935 111.836379 \nL 199.175441 112.611493 \nL 194.705762 113.99015 \nL 189.854294 115.865478 \nL 184.779521 118.105008 \nL 174.561621 123.119208 \nL 153.246063 134.245458 \nL 144.650423 138.792012 \nL 140.438626 141.191575 \nL 137.164139 143.302634 \nL 134.593258 145.256953 \nL 132.519883 147.13326 \nL 129.972195 149.875866 \nL 125.37431 155.094686 \nL 123.659963 156.694592 \nL 121.741599 158.183494 \nL 119.56349 159.52917 \nL 117.07559 160.691314 \nL 114.234066 161.617857 \nL 111.004121 162.240499 \nL 109.236435 162.410878 \nL 107.365775 162.46985 \nL 105.39353 162.402229 \nL 103.323468 162.191059 \nL 101.162297 161.817661 \nL 98.920301 161.261777 \nL 96.612044 160.501879 \nL 94.257112 159.515713 \nL 91.880837 158.281087 \nL 89.514958 156.77701 \nL 87.198125 154.985232 \nL 84.976094 152.892162 \nL 82.901517 150.491191 \nL 81.033118 147.785339 \nL 79.434136 144.790007 \nL 78.169892 141.535608 \nL 77.304462 138.069597 \nL 76.896516 134.457488 \nL 76.994633 130.782267 \nL 77.632513 127.141827 \nL 78.82471 123.644195 \nL 80.563594 120.400737 \nL 82.818134 117.517918 \nL 85.534934 115.088623 \nL 88.641556 113.184405 \nL 92.051732 111.849751 \nL 95.671776 111.099414 \nL 99.407241 110.919092 \nL 103.168946 111.26918 \nL 106.87769 112.090711 \nL 110.467296 113.312417 \nL 113.885978 114.857703 \nL 117.096257 116.650709 \nL 120.073851 118.620893 \nL 122.805901 120.706019 \nL 125.28893 122.853579 \nL 127.526797 125.021098 \nL 129.528807 127.175544 \nL 131.308082 129.292266 \nL 134.262164 133.348069 \nL 136.525591 137.110032 \nL 138.235194 140.556531 \nL 139.515396 143.696764 \nL 140.472781 146.554391 \nL 141.490483 150.373819 \nL 142.395445 154.738816 \nL 143.618219 160.845774 \nL 144.218303 162.98326 \nL 144.95557 164.866108 \nL 145.894261 166.499016 \nL 146.668723 167.44473 \nL 147.593056 168.268636 \nL 148.699251 168.959852 \nL 150.02542 169.502424 \nL 151.617011 169.873871 \nL 153.528013 170.043169 \nL 155.822023 169.968075 \nL 158.572892 169.591598 \nL 161.864407 168.837571 \nL 165.788072 167.605442 \nL 170.437391 165.764859 \nL 175.896048 163.15169 \nL 178.947261 161.494911 \nL 182.216078 159.569056 \nL 185.697967 157.346496 \nL 189.380631 154.800369 \nL 193.241595 151.906551 \nL 197.245376 148.646448 \nL 201.340349 145.010749 \nL 205.455438 141.004244 \nL 209.496985 136.651714 \nL 213.346319 132.004641 \nL 216.858779 127.148107 \nL 219.86526 122.20679 \nL 222.177451 117.348296 \nL 223.598007 112.781429 \nL 223.936461 108.746816 \nL 223.030608 105.49762 \nL 220.771525 103.269984 \nL 217.128012 102.24598 \nL 212.164441 102.516097 \nL 206.045507 104.051644 \nL 199.023479 106.697777 \nL 191.408527 110.193054 \nL 183.528422 114.212447 \nL 154.561362 129.646775 \nL 148.694338 132.470948 \nL 143.461055 134.792978 \nL 138.833817 136.657528 \nL 134.766799 138.129134 \nL 128.092985 140.171329 \nL 122.996175 141.416509 \nL 116.026136 142.783668 \nL 108.288048 144.080537 \nL 106.187928 144.194641 \nL 104.251054 144.013834 \nL 103.036968 143.702106 \nL 101.896922 143.22651 \nL 100.8541 142.586492 \nL 99.939502 141.791113 \nL 99.188471 140.860299 \nL 98.636816 139.825471 \nL 98.316551 138.729128 \nL 98.251596 137.62312 \nL 98.453909 136.565376 \nL 98.920654 135.615342 \nL 99.632961 134.828584 \nL 100.556586 134.251435 \nL 101.644457 133.916604 \nL 102.840656 133.840544 \nL 104.085179 134.02294 \nL 105.318646 134.448235 \nL 106.486268 135.088682 \nL 107.54068 135.908122 \nL 108.443463 136.865782 \nL 109.165511 137.919536 \nL 109.686522 139.028277 \nL 109.993968 140.153386 \nL 110.081856 141.25938 \nL 109.94955 142.313898 \nL 109.600857 143.287325 \nL 109.04347 144.152165 \nL 108.288836 144.882432 \nL 107.352442 145.453146 \nL 106.254489 145.840134 \nL 105.02087 146.020234 \nL 103.684303 145.97207 \nL 102.285434 145.677491 \nL 100.873595 145.123808 \nL 99.50684 144.306769 \nL 98.250874 143.234101 \nL 97.176391 141.92917 \nL 96.354625 140.434068 \nL 95.851114 138.811019 \nL 95.718278 137.14117 \nL 95.987853 135.519887 \nL 96.27625 134.759176 \nL 96.664792 134.048504 \nL 97.149398 133.399693 \nL 97.724153 132.823541 \nL 98.381431 132.329487 \nL 99.112106 131.925336 \nL 99.905804 131.617049 \nL 101.636289 131.301989 \nL 103.476456 131.392245 \nL 105.329592 131.866359 \nL 107.107137 132.679723 \nL 108.734466 133.772865 \nL 110.153651 135.079673 \nL 111.323551 136.534177 \nL 112.218039 138.075099 \nL 112.823198 139.64822 \nL 113.13425 141.20693 \nL 113.152746 142.711552 \nL 112.884333 144.127918 \nL 112.337274 145.425623 \nL 111.521751 146.576252 \nL 110.449975 147.551733 \nL 109.137046 148.322996 \nL 107.602549 148.859078 \nL 105.872772 149.126833 \nL 103.983453 149.091548 \nL 101.982799 148.71875 \nL 99.934333 147.977587 \nL 97.918897 146.846055 \nL 96.034873 145.318156 \nL 95.177075 144.410168 \nL 94.395401 143.412456 \nL 93.705182 142.332603 \nL 93.12156 141.180697 \nL 92.659027 139.969446 \nL 92.330902 138.714146 \nL 92.148784 137.432552 \nL 92.122005 136.144564 \nL 92.257114 134.871778 \nL 92.557427 133.636865 \nL 93.022715 132.462845 \nL 93.649011 131.372243 \nL 94.428604 130.386229 \nL 95.350211 129.523765 \nL 96.399329 128.800862 \nL 97.558745 128.229965 \nL 98.809155 127.819551 \nL 100.129883 127.573942 \nL 101.499602 127.493349 \nL 102.897054 127.574143 \nL 104.301682 127.809275 \nL 105.694184 128.188858 \nL 107.056932 128.700815 \nL 108.374271 129.331531 \nL 109.632684 130.066497 \nL 111.929611 131.790059 \nL 113.882258 133.757215 \nL 115.454685 135.866514 \nL 116.633674 138.03425 \nL 117.421478 140.194949 \nL 117.82934 142.299091 \nL 117.87236 144.309582 \nL 117.565889 146.197904 \nL 116.923337 147.940474 \nL 115.955257 149.515361 \nL 114.669528 150.899393 \nL 113.072566 152.065626 \nL 111.17152 152.981122 \nL 108.977559 153.60516 \nL 106.510307 153.888074 \nL 103.803506 153.771234 \nL 102.376339 153.542546 \nL 100.911817 153.188948 \nL 99.421257 152.701931 \nL 97.918191 152.073386 \nL 96.418541 151.296019 \nL 94.940722 150.363866 \nL 93.505664 149.27288 \nL 92.136706 148.021618 \nL 90.859347 146.611981 \nL 89.700785 145.049983 \nL 88.689274 143.346462 \nL 87.853245 141.517722 \nL 87.220224 139.585929 \nL 86.81556 137.579256 \nL 86.661056 135.531622 \nL 86.773564 133.481981 \nL 87.163691 131.473111 \nL 87.834738 129.549931 \nL 88.781995 127.757452 \nL 89.992533 126.138483 \nL 91.445492 124.731308 \nL 93.112944 123.567596 \nL 94.9612 122.670726 \nL 96.952488 122.054736 \nL 99.046806 121.724002 \nL 101.203804 121.673613 \nL 103.384502 121.8904 \nL 105.552736 122.354421 \nL 107.676242 123.040732 \nL 109.727352 123.921232 \nL 111.683319 124.966411 \nL 113.526325 126.146833 \nL 115.243228 127.434349 \nL 116.825137 128.802951 \nL 118.266877 130.229329 \nL 119.566399 131.693116 \nL 120.724191 133.176953 \nL 122.625897 136.149521 \nL 124.006572 139.061389 \nL 124.911208 141.859899 \nL 125.385709 144.515793 \nL 125.470801 147.014989 \nL 125.198591 149.352156 \nL 124.590981 151.525905 \nL 123.659335 153.535161 \nL 122.404977 155.376277 \nL 120.820277 157.040475 \nL 118.890288 158.511256 \nL 116.595068 159.761571 \nL 113.913036 160.750488 \nL 112.42093 161.129406 \nL 110.82585 161.419392 \nL 109.127186 161.609697 \nL 107.325586 161.687977 \nL 105.423378 161.640232 \nL 103.425039 161.450771 \nL 101.337738 161.102265 \nL 99.171953 160.575912 \nL 96.942129 159.851752 \nL 94.667364 158.909181 \nL 92.372091 157.727708 \nL 90.086674 156.288033 \nL 87.847856 154.573449 \nL 85.698943 152.571625 \nL 83.689585 150.27674 \nL 81.875035 147.691871 \nL 80.314702 144.831525 \nL 79.06996 141.723988 \nL 78.201113 138.413214 \nL 77.763646 134.959745 \nL 77.803967 131.440263 \nL 78.355029 127.945386 \nL 79.432396 124.575442 \nL 81.031338 121.434481 \nL 83.125532 118.622881 \nL 85.667749 116.22951 \nL 88.59259 114.324495 \nL 91.821014 112.953738 \nL 95.266032 112.13604 \nL 98.838783 111.86319 \nL 102.45418 112.102895 \nL 106.035485 112.803815 \nL 109.517431 113.901814 \nL 112.847839 115.326373 \nL 115.987857 117.006289 \nL 118.911178 118.874202 \nL 121.602569 120.869685 \nL 124.056078 122.940923 \nL 126.273147 125.045259 \nL 128.260837 127.148913 \nL 130.030253 129.226137 \nL 131.595208 131.258107 \nL 134.174313 135.138591 \nL 136.127406 138.734944 \nL 137.579329 142.036282 \nL 138.641013 145.055453 \nL 139.405748 147.816199 \nL 140.156362 151.532429 \nL 140.592217 154.817102 \nL 140.88976 158.653982 \nL 141.038926 163.509197 \nL 141.001351 169.31246 \nL 140.772786 173.832572 \nL 140.452822 176.320788 \nL 139.996594 178.156801 \nL 139.427945 179.513344 \nL 138.82382 180.487982 \nL 138.005557 181.444382 \nL 136.894962 182.400797 \nL 135.38483 183.375951 \nL 133.328436 184.38583 \nL 130.525857 185.435917 \nL 128.11315 186.149386 \nL 125.150025 186.852131 \nL 121.516926 187.504078 \nL 117.075704 188.032178 \nL 111.674131 188.310608 \nL 108.564754 188.295447 \nL 105.159125 188.131363 \nL 101.442835 187.772772 \nL 97.406626 187.163215 \nL 93.04921 186.233659 \nL 88.38098 184.901005 \nL 83.428784 183.067204 \nL 78.241824 180.619553 \nL 72.89864 177.433035 \nL 67.514728 173.375913 \nL 62.250007 168.319993 \nL 57.314419 162.157039 \nL 52.96922 154.822371 \nL 49.520563 146.325211 \nL 47.301599 136.782735 \nL 46.640399 126.450822 \nL 47.814052 115.7401 \nL 50.994829 105.20382 \nL 56.200853 95.486975 \nL 63.267964 87.236863 \nL 71.857171 80.991698 \nL 81.501624 77.078606 \nL 91.681881 75.555153 \nL 101.906664 76.21461 \nL 111.775409 78.650451 \nL 121.008893 82.353965 \nL 129.448286 86.811467 \nL 137.033158 91.575898 \nL 143.771534 96.30355 \nL 154.921655 104.80757 \nL 166.877696 114.096628 \nL 172.398627 118.125892 \nL 180.756179 124.017314 \nL 181.222766 124.545871 \nL 181.476879 125.029985 \nL 181.536149 125.491327 \nL 181.418281 125.947343 \nL 181.141271 126.411523 \nL 180.183651 127.400444 \nL 178.020756 129.092627 \nL 173.677135 132.370919 \nL 171.28028 134.429234 \nL 169.367543 136.420168 \nL 168.432882 137.66966 \nL 167.795299 138.835358 \nL 167.462285 139.901419 \nL 167.43362 140.852386 \nL 167.704491 141.671949 \nL 168.26764 142.342201 \nL 169.114496 142.843395 \nL 170.235339 143.15404 \nL 171.61858 143.251431 \nL 173.249167 143.112604 \nL 175.106215 142.715844 \nL 177.159888 142.042964 \nL 179.367736 141.082532 \nL 181.670783 139.834155 \nL 183.989981 138.313793 \nL 186.224011 136.559618 \nL 188.249761 134.637312 \nL 189.927142 132.643102 \nL 191.109661 130.702032 \nL 191.471849 129.796386 \nL 191.66126 128.959154 \nL 191.666087 128.208791 \nL 191.477965 127.562475 \nL 191.092595 127.0353 \nL 190.510238 126.639491 \nL 189.735981 126.38374 \nL 188.779787 126.272723 \nL 187.656275 126.306856 \nL 186.384238 126.482347 \nL 183.486158 127.223213 \nL 180.288331 128.398128 \nL 177.002425 129.882738 \nL 173.820173 131.552302 \nL 170.894018 133.301673 \nL 168.329503 135.054297 \nL 166.187622 136.761358 \nL 164.493189 138.395075 \nL 163.245432 139.940394 \nL 162.428122 141.387759 \nL 162.017852 142.728078 \nL 161.990062 143.949788 \nL 162.322946 145.037498 \nL 162.999582 145.971524 \nL 164.008666 146.727825 \nL 165.344132 147.278107 \nL 167.003813 147.589961 \nL 168.987176 147.62713 \nL 171.292028 147.350167 \nL 173.910008 146.717877 \nL 176.82063 145.690107 \nL 179.983738 144.232583 \nL 183.330509 142.324598 \nL 186.753727 139.970078 \nL 190.099107 137.21194 \nL 191.680273 135.709513 \nL 193.160875 134.147932 \nL 194.507906 132.55015 \nL 195.686497 130.943689 \nL 196.660946 129.360346 \nL 197.396072 127.835489 \nL 197.858872 126.40693 \nL 198.020368 125.113338 \nL 197.857602 123.992239 \nL 197.35554 123.077729 \nL 196.508729 122.398107 \nL 195.322483 121.973665 \nL 193.813377 121.814955 \nL 192.008952 121.921789 \nL 189.946567 122.283167 \nL 187.671477 122.878225 \nL 185.23433 123.678062 \nL 180.086505 125.75168 \nL 174.911043 128.212557 \nL 170.043093 130.804236 \nL 165.709395 133.35057 \nL 162.027972 135.760982 \nL 159.02981 138.009612 \nL 156.687679 140.10696 \nL 154.942406 142.076417 \nL 153.722618 143.939862 \nL 152.957762 145.711175 \nL 152.585689 147.394848 \nL 152.556416 148.987114 \nL 152.833466 150.477776 \nL 153.393801 151.851789 \nL 154.227043 153.090235 \nL 155.33441 154.170552 \nL 156.727559 155.066126 \nL 158.427383 155.74531 \nL 160.462657 156.170005 \nL 162.868277 156.293967 \nL 165.682666 156.061037 \nL 168.943716 155.403718 \nL 172.682365 154.242815 \nL 176.91263 152.489399 \nL 179.208328 151.361475 \nL 181.616711 150.051159 \nL 184.127139 148.548632 \nL 186.723993 146.846162 \nL 189.3857 144.939215 \nL 192.083706 142.827812 \nL 194.781513 140.518126 \nL 197.433844 138.024308 \nL 199.986118 135.370374 \nL 202.374409 132.592069 \nL 204.526122 129.738388 \nL 206.361633 126.872392 \nL 207.797125 124.070941 \nL 208.748756 121.422791 \nL 209.13818 119.024707 \nL 208.899125 116.975389 \nL 207.984517 115.367363 \nL 206.373196 114.277597 \nL 204.075123 113.758079 \nL 201.133896 113.828109 \nL 197.625645 114.470073 \nL 193.654049 115.630089 \nL 189.341971 117.223745 \nL 184.820998 119.146201 \nL 180.220616 121.284576 \nL 171.235071 125.78875 \nL 159.456893 132.014609 \nL 150.473832 136.946599 \nL 145.978477 139.606173 \nL 142.475877 141.934814 \nL 139.761941 144.063769 \nL 137.642635 146.084163 \nL 135.947635 148.048704 \nL 133.894688 150.937974 \nL 129.633337 157.378218 \nL 128.222577 159.093072 \nL 126.619621 160.727034 \nL 124.771665 162.262595 \nL 122.625727 163.677043 \nL 120.12778 164.939143 \nL 117.223274 166.0047 \nL 113.85965 166.810845 \nL 111.99104 167.090168 \nL 109.991758 167.268955 \nL 107.858913 167.330774 \nL 105.591612 167.256563 \nL 103.191628 167.02443 \nL 100.664211 166.609534 \nL 98.019041 165.984095 \nL 95.271326 165.117624 \nL 92.443014 163.977447 \nL 89.564078 162.529649 \nL 86.673784 160.740538 \nL 83.821794 158.578803 \nL 81.068915 156.018407 \nL 78.487207 153.042301 \nL 76.159178 149.646869 \nL 74.175672 145.846855 \nL 72.632184 141.680285 \nL 71.623461 137.21258 \nL 71.236444 132.538915 \nL 71.54209 127.783653 \nL 72.586926 123.095898 \nL 74.385669 118.640683 \nL 76.916365 114.586163 \nL 80.119312 111.088241 \nL 83.900465 108.275003 \nL 88.139071 106.233704 \nL 92.698413 105.00294 \nL 97.437764 104.571388 \nL 102.223612 104.883078 \nL 106.938456 105.847727 \nL 111.486346 107.353731 \nL 115.795052 109.28123 \nL 119.815453 111.513286 \nL 123.519009 113.94392 \nL 126.894244 116.482855 \nL 129.942973 119.057297 \nL 132.676758 121.611488 \nL 135.113873 124.104954 \nL 137.276844 126.510021 \nL 140.880837 130.992818 \nL 143.693488 135.001044 \nL 145.909459 138.542223 \nL 149.213123 144.374455 \nL 151.216822 147.817924 \nL 152.514301 149.732417 \nL 153.871059 151.365975 \nL 155.351787 152.727904 \nL 157.014218 153.817203 \nL 158.911954 154.622219 \nL 161.096291 155.120077 \nL 163.616844 155.27595 \nL 166.520615 155.042292 \nL 169.848972 154.358486 \nL 173.63176 153.151679 \nL 177.877482 151.340148 \nL 180.16723 150.181477 \nL 182.558443 148.841311 \nL 185.038597 147.31175 \nL 187.589985 145.587373 \nL 190.188812 143.666387 \nL 192.804282 141.551984 \nL 195.397771 139.253928 \nL 197.922223 136.790246 \nL 200.321891 134.18896 \nL 202.532616 131.489628 \nL 204.482884 128.74445 \nL 206.095846 126.018544 \nL 207.292497 123.389036 \nL 207.996056 120.942516 \nL 208.13748 118.770624 \nL 207.661732 116.963714 \nL 206.534191 115.602924 \nL 204.746284 114.751583 \nL 202.319319 114.447201 \nL 199.30554 114.695607 \nL 195.785807 115.468706 \nL 191.863882 116.706751 \nL 187.658078 118.325012 \nL 183.291525 120.223659 \nL 174.537321 124.454282 \nL 162.658442 130.67434 \nL 153.32489 135.807772 \nL 148.57968 138.603951 \nL 144.860926 141.040465 \nL 141.982186 143.246638 \nL 139.755589 145.320517 \nL 138.010987 147.323682 \nL 136.602895 149.287866 \nL 134.864392 152.182461 \nL 131.671682 157.731354 \nL 130.456101 159.47743 \nL 129.077279 161.155518 \nL 127.486081 162.754437 \nL 125.632222 164.259935 \nL 123.462734 165.652131 \nL 120.921324 166.902014 \nL 117.948987 167.96671 \nL 114.486537 168.783226 \nL 112.554248 169.071297 \nL 110.480136 169.260455 \nL 108.259968 169.333341 \nL 105.891463 169.269603 \nL 103.37503 169.045599 \nL 100.714655 168.634185 \nL 97.918986 168.004631 \nL 95.002581 167.122753 \nL 91.987358 165.951375 \nL 88.904128 164.451235 \nL 85.794181 162.582529 \nL 82.71075 160.307223 \nL 79.720106 157.592336 \nL 76.901984 154.414218 \nL 74.34894 150.763858 \nL 72.164185 146.652918 \nL 70.45748 142.119935 \nL 69.338846 137.235778 \nL 68.910137 132.107034 \nL 69.255026 126.875892 \nL 70.428529 121.715068 \nL 72.447765 116.817182 \nL 75.285873 112.378853 \nL 78.870794 108.581422 \nL 83.089807 105.571468 \nL 87.799456 103.444839 \nL 92.839257 102.237599 \nL 98.046617 101.925564 \nL 103.270343 102.432255 \nL 108.380736 103.642851 \nL 113.27528 105.420914 \nL 117.880136 107.624505 \nL 122.148345 110.119159 \nL 126.056017 112.786638 \nL 129.597648 115.529393 \nL 132.781462 118.271486 \nL 135.625276 120.957091 \nL 138.153112 123.547682 \nL 142.372966 128.356164 \nL 145.674007 132.61158 \nL 149.388559 137.98091 \nL 153.792371 144.625038 \nL 155.331637 146.611397 \nL 156.897159 148.261667 \nL 158.566918 149.590968 \nL 160.406785 150.602228 \nL 162.473557 151.286351 \nL 164.816673 151.622353 \nL 167.478317 151.577684 \nL 170.491524 151.108965 \nL 173.875811 150.163855 \nL 177.629722 148.684982 \nL 181.719756 146.617463 \nL 183.867999 145.349514 \nL 186.065506 143.921769 \nL 188.291978 142.334975 \nL 190.521927 140.593789 \nL 192.724218 138.707829 \nL 194.861768 136.692739 \nL 196.891525 134.571258 \nL 198.764805 132.374103 \nL 200.428144 130.140518 \nL 201.824767 127.918319 \nL 202.89674 125.763173 \nL 203.58785 123.736906 \nL 203.847122 121.904778 \nL 203.63279 120.331608 \nL 202.916345 119.07706 \nL 201.686184 118.190447 \nL 199.950344 117.705724 \nL 197.737707 117.637502 \nL 195.097344 117.978861 \nL 192.09587 118.701518 \nL 188.813018 119.758502 \nL 185.336005 121.089033 \nL 181.753469 122.624776 \nL 174.600433 126.039618 \nL 167.90512 129.532274 \nL 162.012698 132.807492 \nL 157.069296 135.751031 \nL 153.074314 138.372826 \nL 149.940293 140.740196 \nL 147.540479 142.930013 \nL 145.739775 145.004708 \nL 144.411988 147.005391 \nL 143.447795 148.953999 \nL 142.757097 150.858564 \nL 142.081752 153.630616 \nL 141.688699 156.285332 \nL 141.413328 159.609998 \nL 141.232606 164.770326 \nL 140.918107 176.801448 \nL 140.623819 179.119986 \nL 140.243402 180.574256 \nL 139.764323 181.654622 \nL 139.042149 182.693934 \nL 138.266946 183.468154 \nL 137.208104 184.257364 \nL 135.759748 185.080471 \nL 133.776342 185.954779 \nL 131.058616 186.888918 \nL 127.33613 187.866776 \nL 124.122558 188.510005 \nL 120.172725 189.091937 \nL 115.335584 189.522616 \nL 112.53327 189.636419 \nL 109.447595 189.64776 \nL 106.059129 189.521467 \nL 102.351019 189.213164 \nL 98.310971 188.667451 \nL 93.933964 187.816018 \nL 89.225912 186.575858 \nL 84.208424 184.847974 \nL 78.924816 182.517105 \nL 73.447365 179.453358 \nL 67.885523 175.516955 \nL 62.394294 170.567624 \nL 57.181303 164.480378 \nL 52.510014 157.169063 \nL 48.695507 148.617887 \nL 46.088652 138.918482 \nL 45.045005 128.305854 \nL 45.87765 117.181607 \nL 48.798962 106.109159 \nL 53.863706 95.767472 \nL 60.931879 86.860056 \nL 69.668899 79.994008 \nL 79.590523 75.562341 \nL 90.142644 73.669185 \nL 100.791439 74.124736 \nL 111.096187 76.509336 \nL 120.747133 80.279429 \nL 129.567069 84.87717 \nL 137.487895 89.813335 \nL 144.517279 94.71097 \nL 156.129551 103.472242 \nL 164.976093 110.242488 \nL 171.605105 115.047688 \nL 178.267112 119.456933 \nL 180.918342 121.195543 \nL 182.363333 122.429053 \nL 182.683773 122.951766 \nL 182.762229 123.451391 \nL 182.618839 123.950722 \nL 182.274643 124.467276 \nL 181.072976 125.597744 \nL 178.340629 127.600487 \nL 172.845578 131.559176 \nL 169.817888 134.037188 \nL 168.121099 135.642242 \nL 166.743275 137.177813 \nL 165.709413 138.626067 \nL 165.02731 139.97374 \nL 164.69393 141.208898 \nL 164.700581 142.318624 \nL 165.036656 143.287593 \nL 165.691991 144.097361 \nL 166.657947 144.726146 \nL 167.927403 145.14894 \nL 169.493718 145.337858 \nL 171.348738 145.262876 \nL 173.479795 144.893113 \nL 175.865666 144.198974 \nL 178.471498 143.155574 \nL 181.242844 141.74784 \nL 184.099328 139.977611 \nL 186.928989 137.872563 \nL 189.585117 135.496085 \nL 191.888263 132.955816 \nL 192.844743 131.671016 \nL 193.636488 130.407043 \nL 194.238191 129.189663 \nL 194.626388 128.046013 \nL 194.780647 127.003564 \nL 194.684808 126.088872 \nL 194.328172 125.326186 \nL 193.706504 124.736022 \nL 192.822778 124.333849 \nL 191.687515 124.129002 \nL 190.318669 124.124046 \nL 188.741034 124.314579 \nL 186.985181 124.689604 \nL 185.086033 125.232452 \nL 181.009136 126.734544 \nL 176.812166 128.628492 \nL 172.763391 130.726215 \nL 169.066372 132.878822 \nL 165.85036 134.989638 \nL 163.177603 137.008838 \nL 161.059447 138.918861 \nL 159.474265 140.718984 \nL 158.383044 142.413506 \nL 157.741098 144.004708 \nL 157.505923 145.489605 \nL 157.641884 146.859098 \nL 158.122599 148.098258 \nL 158.931727 149.186864 \nL 160.062717 150.099763 \nL 161.51783 150.806863 \nL 163.306574 151.272771 \nL 165.443485 151.45625 \nL 167.945036 151.309734 \nL 170.825278 150.779333 \nL 174.089681 149.806016 \nL 177.726514 148.328916 \nL 181.695228 146.29216 \nL 185.911653 143.656868 \nL 188.070337 142.111734 \nL 190.230939 140.419921 \nL 192.36315 138.590884 \nL 194.431125 136.639851 \nL 196.393464 134.588767 \nL 198.203587 132.467081 \nL 199.810542 130.312226 \nL 201.160421 128.169595 \nL 202.19836 126.091839 \nL 202.87126 124.137268 \nL 203.131026 122.367297 \nL 202.938233 120.842895 \nL 202.265858 119.62023 \nL 201.10263 118.745934 \nL 199.455555 118.252534 \nL 197.351059 118.154776 \nL 194.834453 118.447551 \nL 191.967579 119.105938 \nL 188.824845 120.087522 \nL 185.488111 121.3367 \nL 182.041122 122.7903 \nL 175.130032 126.055639 \nL 168.624246 129.435656 \nL 162.86714 132.639513 \nL 158.013931 135.544818 \nL 154.077328 138.149217 \nL 150.982966 140.509137 \nL 148.615039 142.693998 \nL 146.846901 144.762006 \nL 145.558694 146.752269 \nL 144.645898 148.685934 \nL 144.022266 150.57075 \nL 143.619591 152.40603 \nL 143.320044 155.054411 \nL 143.284388 157.557066 \nL 143.445374 159.893275 \nL 143.773725 162.047171 \nL 144.268339 164.006693 \nL 144.950819 165.760697 \nL 145.863643 167.295254 \nL 146.631043 168.186385 \nL 147.554294 168.96167 \nL 148.664531 169.608458 \nL 149.999663 170.109369 \nL 151.605446 170.440666 \nL 153.536615 170.570085 \nL 155.85791 170.45399 \nL 158.644688 170.033689 \nL 161.982558 169.230814 \nL 165.965051 167.94189 \nL 170.687642 166.032725 \nL 176.235407 163.334315 \nL 179.337157 161.626893 \nL 182.660194 159.644051 \nL 186.19944 157.357452 \nL 189.941676 154.739657 \nL 193.863034 151.766216 \nL 197.926041 148.418618 \nL 202.076345 144.688263 \nL 206.239301 140.581553 \nL 210.316754 136.126092 \nL 214.184614 131.377683 \nL 217.692042 126.42749 \nL 220.66334 121.408084 \nL 222.903842 116.496502 \nL 224.211061 111.911763 \nL 224.391835 107.904044 \nL 223.285147 104.733378 \nL 220.788247 102.637677 \nL 216.881606 101.793623 \nL 211.64601 102.278202 \nL 205.265177 104.042294 \nL 198.009772 106.90719 \nL 190.204311 110.589059 \nL 182.184408 114.746761 \nL 159.578727 126.946921 \nL 153.102523 130.231807 \nL 147.274064 132.988297 \nL 142.088732 135.232379 \nL 137.513083 137.016074 \nL 133.49746 138.408522 \nL 126.917817 140.305533 \nL 121.899659 141.424232 \nL 116.460999 142.362165 \nL 109.042205 143.36661 \nL 106.904104 143.508066 \nL 105.034135 143.424576 \nL 103.352462 143.066144 \nL 102.333502 142.65937 \nL 101.41142 142.11718 \nL 100.607912 141.447503 \nL 99.948891 140.667127 \nL 99.461115 139.801964 \nL 99.168702 138.886536 \nL 99.089716 137.962514 \nL 99.233179 137.0762 \nL 99.596874 136.275131 \nL 100.166286 135.604093 \nL 100.914924 135.10117 \nL 101.805984 134.794385 \nL 102.795142 134.699521 \nL 103.833981 134.819386 \nL 104.87353 135.144563 \nL 105.867434 135.65529 \nL 106.77439 136.324075 \nL 107.559704 137.118514 \nL 108.195951 138.00382 \nL 108.662977 138.944889 \nL 108.947383 139.907719 \nL 109.041778 140.860223 \nL 108.943989 141.772533 \nL 108.656402 142.616948 \nL 108.185526 143.367702 \nL 107.541847 144.000641 \nL 106.73997 144.493023 \nL 105.799044 144.823499 \nL 104.74337 144.972441 \nL 103.603087 144.922664 \nL 102.414763 144.660686 \nL 101.221656 144.178482 \nL 100.073379 143.475751 \nL 99.024689 142.562419 \nL 98.133119 141.461094 \nL 97.455381 140.208914 \nL 97.042611 138.85807 \nL 96.93494 137.474415 \nL 97.15616 136.133701 \nL 97.709488 134.915456 \nL 98.575464 133.895292 \nL 99.712659 133.136894 \nL 101.061272 132.685253 \nL 102.549029 132.562596 \nL 104.098238 132.767686 \nL 105.632708 133.278354 \nL 107.083393 134.056337 \nL 108.392151 135.05313 \nL 109.513458 136.215626 \nL 110.414389 137.490668 \nL 111.073381 138.828155 \nL 111.478339 140.18267 \nL 111.624571 141.513924 \nL 111.512931 142.78633 \nL 111.148393 143.968058 \nL 110.539193 145.02989 \nL 109.69656 145.944015 \nL 108.635092 146.683046 \nL 107.373676 147.219321 \nL 105.936946 147.524705 \nL 104.357092 147.571065 \nL 102.675858 147.331628 \nL 100.946378 146.783439 \nL 99.234391 145.91106 \nL 97.618175 144.711488 \nL 96.186482 143.199917 \nL 95.03381 141.415488 \nL 94.591356 140.44085 \nL 94.252639 139.425586 \nL 94.027194 138.382698 \nL 93.923032 137.326804 \nL 93.946292 136.27386 \nL 94.100895 135.240801 \nL 94.388289 134.245072 \nL 94.807263 133.304092 \nL 95.353867 132.434698 \nL 96.021449 131.652547 \nL 96.800796 130.971576 \nL 97.68041 130.40351 \nL 98.646855 129.957473 \nL 99.685206 129.639756 \nL 100.779516 129.453671 \nL 101.913332 129.399614 \nL 103.070168 129.475206 \nL 104.233953 129.675584 \nL 105.389428 129.99376 \nL 107.620199 130.947466 \nL 109.666284 132.254134 \nL 111.456019 133.82426 \nL 112.941688 135.571215 \nL 114.096132 137.417637 \nL 114.908039 139.298224 \nL 115.377056 141.159798 \nL 115.509488 142.959706 \nL 115.314951 144.663356 \nL 114.804124 146.241486 \nL 113.987572 147.66749 \nL 112.875593 148.914993 \nL 111.479017 149.955713 \nL 109.810927 150.757728 \nL 107.889292 151.284257 \nL 105.740469 151.493189 \nL 103.403522 151.337791 \nL 100.935064 150.769109 \nL 99.675207 150.315013 \nL 98.414058 149.740816 \nL 97.165591 149.04244 \nL 95.945507 148.217155 \nL 94.771167 147.264006 \nL 93.661434 146.184279 \nL 92.636405 144.981994 \nL 91.717013 143.664353 \nL 90.924509 142.242154 \nL 90.279787 140.730103 \nL 89.802618 139.146957 \nL 89.51079 137.515472 \nL 89.4192 135.862086 \nL 89.538966 134.216332 \nL 89.876639 132.609964 \nL 90.433582 131.075806 \nL 91.205564 129.646414 \nL 92.182675 128.352616 \nL 93.349556 127.222088 \nL 94.685925 126.278027 \nL 96.167421 125.538107 \nL 97.766644 125.013805 \nL 99.454327 124.710099 \nL 101.200552 124.625628 \nL 102.975878 124.753212 \nL 104.752358 125.080682 \nL 106.504348 125.591934 \nL 108.209078 126.268038 \nL 109.847018 127.08838 \nL 111.402013 128.031681 \nL 112.861242 129.076882 \nL 114.215037 130.20383 \nL 115.456604 131.393791 \nL 117.58811 133.896681 \nL 119.24504 136.472622 \nL 120.439164 139.038385 \nL 121.194453 141.536155 \nL 121.539143 143.927556 \nL 121.500206 146.18764 \nL 121.099914 148.299641 \nL 120.354082 150.250592 \nL 119.271587 152.027711 \nL 117.854913 153.6153 \nL 116.101607 154.991919 \nL 114.00664 156.127677 \nL 111.565887 156.981546 \nL 108.781031 157.498829 \nL 107.263283 157.609911 \nL 105.666255 157.609185 \nL 103.995131 157.485315 \nL 102.257097 157.226058 \nL 100.461749 156.818442 \nL 98.621492 156.249027 \nL 96.751953 155.504319 \nL 94.872353 154.571318 \nL 93.00582 153.438238 \nL 91.179588 152.095418 \nL 89.425015 150.536416 \nL 87.777367 148.759281 \nL 86.275289 146.767935 \nL 84.959898 144.573572 \nL 83.873459 142.195963 \nL 83.057633 139.664475 \nL 82.551326 137.018599 \nL 82.388263 134.307772 \nL 82.594473 131.59033 \nL 83.185892 128.931432 \nL 84.166446 126.400046 \nL 85.526818 124.065098 \nL 87.24419 121.991173 \nL 89.283055 120.234229 \nL 91.597084 118.837848 \nL 94.131838 117.830522 \nL 96.828058 117.224312 \nL 99.625102 117.015038 \nL 102.464183 117.183836 \nL 105.291082 117.699864 \nL 108.058156 118.523596 \nL 110.725545 119.610371 \nL 113.261649 120.913659 \nL 115.642983 122.387825 \nL 117.85358 123.990249 \nL 119.884098 125.682692 \nL 121.73078 127.432036 \nL 123.394393 129.210511 \nL 124.879202 130.995512 \nL 126.192047 132.769178 \nL 128.337446 136.231368 \nL 129.909652 139.526858 \nL 130.990472 142.624285 \nL 131.654827 145.516431 \nL 131.965673 148.2098 \nL 131.971925 150.717704 \nL 131.708174 153.055958 \nL 131.195353 155.240203 \nL 130.441782 157.284227 \nL 129.444261 159.198782 \nL 128.189034 160.990573 \nL 126.652587 162.661094 \nL 124.802355 164.205058 \nL 122.59754 165.608141 \nL 119.990351 166.843738 \nL 116.928249 167.868395 \nL 113.358016 168.615602 \nL 111.367207 168.856144 \nL 109.232926 168.987827 \nL 106.952317 168.992076 \nL 104.524817 168.847195 \nL 101.952962 168.528129 \nL 99.24337 168.006334 \nL 96.40789 167.249813 \nL 93.46494 166.223429 \nL 90.440968 164.889587 \nL 87.371988 163.209469 \nL 84.305067 161.144947 \nL 81.299571 158.661349 \nL 78.427893 155.731192 \nL 75.775329 152.33891 \nL 73.438656 148.486431 \nL 71.523034 144.199189 \nL 70.136853 139.531848 \nL 69.384478 134.572639 \nL 69.357128 129.444919 \nL 70.122788 124.304597 \nL 71.716485 119.332345 \nL 74.132751 114.72045 \nL 77.322058 110.655431 \nL 81.192523 107.298854 \nL 85.617127 104.769873 \nL 90.445441 103.132901 \nL 95.517812 102.393039 \nL 100.679399 102.499928 \nL 105.791759 103.35866 \nL 110.740563 104.845012 \nL 115.439063 106.821653 \nL 119.827857 109.152412 \nL 123.872102 111.712935 \nL 127.55731 114.39708 \nL 130.884763 117.119507 \nL 133.867202 119.815357 \nL 136.525147 122.438111 \nL 138.883953 124.956559 \nL 142.816985 129.613098 \nL 145.895316 133.725862 \nL 149.376632 138.91865 \nL 153.581454 145.367645 \nL 155.08456 147.302632 \nL 156.63033 148.912344 \nL 158.293174 150.209324 \nL 160.136669 151.19421 \nL 162.21643 151.855776 \nL 164.581659 152.170947 \nL 167.275092 152.10495 \nL 170.330951 151.611871 \nL 173.770357 150.636378 \nL 177.593575 149.117528 \nL 181.768433 146.996279 \nL 183.965028 145.694924 \nL 186.214676 144.22869 \nL 188.496722 142.597868 \nL 190.785088 140.806774 \nL 193.047759 138.864871 \nL 195.246441 136.787927 \nL 197.336485 134.599166 \nL 199.267219 132.330246 \nL 200.982803 130.021894 \nL 202.42375 127.723997 \nL 203.529186 125.494888 \nL 204.239894 123.399596 \nL 204.502092 121.506922 \nL 204.271662 119.885314 \nL 203.51852 118.597769 \nL 202.230575 117.696204 \nL 200.416641 117.216038 \nL 198.107735 117.171881 \nL 195.356328 117.555214 \nL 192.233406 118.334654 \nL 188.82363 119.458982 \nL 185.219191 120.86257 \nL 181.513271 122.472238 \nL 174.13951 126.021448 \nL 167.270747 129.61447 \nL 161.253782 132.952105 \nL 156.226411 135.927772 \nL 152.175949 138.562782 \nL 149.003131 140.934381 \nL 146.571377 143.126165 \nL 144.738015 145.204307 \nL 143.37116 147.211651 \nL 142.35714 149.170741 \nL 141.602325 151.089768 \nL 140.797151 153.891169 \nL 140.061638 157.456265 \nL 138.809781 163.886296 \nL 137.976647 166.746337 \nL 137.150434 168.754427 \nL 136.076671 170.662012 \nL 135.181428 171.885837 \nL 134.106185 173.076319 \nL 132.812516 174.236402 \nL 131.254155 175.366692 \nL 129.375538 176.463773 \nL 127.110368 177.517579 \nL 124.380424 178.507338 \nL 121.095129 179.395405 \nL 117.152783 180.117984 \nL 112.44518 180.571577 \nL 109.771294 180.649738 \nL 106.868497 180.593925 \nL 103.728079 180.370562 \nL 100.34527 179.939031 \nL 96.721071 179.250772 \nL 92.864576 178.248576 \nL 88.795862 176.866276 \nL 84.549479 175.029135 \nL 80.178443 172.655387 \nL 75.758565 169.659459 \nL 71.392637 165.95757 \nL 67.213782 161.476354 \nL 63.386795 156.165005 \nL 60.105995 150.010882 \nL 57.587867 143.057573 \nL 56.056934 135.422864 \nL 55.724298 127.312285 \nL 56.760065 119.022405 \nL 59.263564 110.928015 \nL 63.237752 103.449568 \nL 68.575602 97.002722 \nL 75.064586 91.938547 \nL 82.410762 88.488938 \nL 90.277753 86.732402 \nL 98.330779 86.590178 \nL 106.274793 87.85261 \nL 113.878897 90.226056 \nL 120.984727 93.385806 \nL 127.501624 97.021693 \nL 133.393936 100.868605 \nL 138.665785 104.720659 \nL 143.347 108.43212 \nL 151.121846 115.103485 \nL 159.58848 122.866065 \nL 166.829374 129.541913 \nL 170.413565 132.56344 \nL 172.271629 133.909057 \nL 173.8479 134.843213 \nL 175.22589 135.444433 \nL 176.46153 135.773719 \nL 177.588652 135.879884 \nL 178.623509 135.803849 \nL 180.00529 135.426973 \nL 181.150286 134.83632 \nL 181.996678 134.145323 \nL 182.47613 133.467378 \nL 182.56477 133.076052 \nL 182.458947 132.76608 \nL 182.16036 132.559719 \nL 181.680769 132.472265 \nL 180.672119 132.577914 \nL 179.415989 132.95705 \nL 178.048398 133.566677 \nL 176.295631 134.623719 \nL 175.195931 135.503207 \nL 174.386024 136.377118 \nL 173.926713 137.181097 \nL 173.849073 137.85846 \nL 174.012984 138.214827 \nL 174.345504 138.479474 \nL 174.838719 138.640596 \nL 175.852769 138.666581 \nL 177.143022 138.412919 \nL 178.628318 137.871733 \nL 180.201302 137.05884 \nL 181.727969 136.021256 \nL 183.052762 134.842373 \nL 184.012371 133.64105 \nL 184.374862 132.898076 \nL 184.475055 132.252894 \nL 184.292793 131.746117 \nL 183.824626 131.410654 \nL 183.085607 131.268087 \nL 182.109007 131.326412 \nL 180.9438 131.579687 \nL 178.97595 132.282392 \nL 176.942583 133.283237 \nL 175.054214 134.466472 \nL 173.480919 135.720651 \nL 172.340146 136.950237 \nL 171.85482 137.716887 \nL 171.60175 138.417367 \nL 171.583908 139.033299 \nL 171.799216 139.547359 \nL 172.241541 139.942894 \nL 172.901213 140.203855 \nL 173.765047 140.315061 \nL 174.815875 140.262771 \nL 176.031659 140.035667 \nL 178.101095 139.352036 \nL 180.348871 138.258667 \nL 182.600824 136.798439 \nL 183.996512 135.66869 \nL 185.220725 134.466694 \nL 186.194952 133.252465 \nL 186.843828 132.096302 \nL 187.103179 131.073388 \nL 187.071974 130.63485 \nL 186.928871 130.256021 \nL 186.672801 129.943998 \nL 186.304822 129.704579 \nL 185.248237 129.459048 \nL 183.810335 129.533381 \nL 182.071864 129.914354 \nL 180.134045 130.565349 \nL 178.106929 131.433892 \nL 175.13014 133.01509 \nL 172.494486 134.763724 \nL 171.033839 135.946498 \nL 169.856701 137.102807 \nL 168.984125 138.206522 \nL 168.424663 139.236246 \nL 168.178162 140.173056 \nL 168.239005 140.998736 \nL 168.598511 141.694622 \nL 169.246404 142.240955 \nL 170.171365 142.616758 \nL 171.3607 142.800106 \nL 172.799199 142.768801 \nL 174.467227 142.501572 \nL 176.338124 141.97987 \nL 178.375058 141.190474 \nL 180.527551 140.128995 \nL 182.728153 138.804298 \nL 184.889958 137.243544 \nL 186.906089 135.497153 \nL 188.652431 133.642351 \nL 189.994991 131.783454 \nL 190.802671 130.046716 \nL 190.970036 129.266798 \nL 190.964935 128.568317 \nL 190.780073 127.966789 \nL 190.411854 127.475813 \nL 189.860802 127.106394 \nL 189.131782 126.866379 \nL 188.23404 126.760043 \nL 187.180983 126.78789 \nL 184.68065 127.229702 \nL 181.800636 128.127226 \nL 178.733947 129.379107 \nL 175.669307 130.870525 \nL 172.76899 132.494431 \nL 170.156181 134.164946 \nL 167.912131 135.821398 \nL 166.080659 137.425272 \nL 164.676539 138.953657 \nL 163.694861 140.392309 \nL 163.119474 141.730054 \nL 162.929631 142.955075 \nL 163.104675 144.052842 \nL 163.626907 145.005152 \nL 164.48296 145.789844 \nL 165.663941 146.380804 \nL 167.164536 146.748115 \nL 168.981165 146.858398 \nL 171.109149 146.675468 \nL 173.538761 146.161651 \nL 176.25003 145.280233 \nL 179.206171 143.999597 \nL 182.34575 142.299751 \nL 185.574235 140.181633 \nL 188.756273 137.679217 \nL 191.711311 134.873092 \nL 193.035396 133.397075 \nL 194.216427 131.902181 \nL 195.222308 130.415585 \nL 196.020974 128.96785 \nL 196.58171 127.592093 \nL 196.876691 126.322778 \nL 196.882666 125.194156 \nL 196.582631 124.238417 \nL 195.967381 123.483677 \nL 195.036723 122.952031 \nL 193.80022 122.657843 \nL 192.277281 122.606559 \nL 190.496586 122.794227 \nL 188.494793 123.207789 \nL 186.314664 123.826203 \nL 184.002804 124.622237 \nL 179.174955 126.620809 \nL 174.371941 128.948125 \nL 169.884672 131.385417 \nL 165.90794 133.78396 \nL 162.542577 136.066498 \nL 159.814832 138.208917 \nL 157.701086 140.216787 \nL 156.150273 142.106205 \nL 155.100886 143.891951 \nL 154.492328 145.582066 \nL 154.271661 147.176531 \nL 154.397047 148.668008 \nL 154.839047 150.04315 \nL 155.580624 151.283705 \nL 156.61645 152.367102 \nL 157.951829 153.26638 \nL 159.601384 153.949577 \nL 161.587469 154.37868 \nL 163.938078 154.508305 \nL 166.68391 154.284411 \nL 169.853975 153.643435 \nL 173.468972 152.512674 \nL 177.531424 150.813066 \nL 182.011527 148.466268 \nL 184.385426 147.029133 \nL 186.827957 145.408604 \nL 189.316991 143.602907 \nL 191.824056 141.614784 \nL 194.313621 139.4529 \nL 196.742523 137.133326 \nL 199.059733 134.681073 \nL 201.206577 132.131479 \nL 203.117613 129.531194 \nL 204.722361 126.938513 \nL 205.948009 124.422686 \nL 206.723178 122.061875 \nL 206.9827 119.939493 \nL 206.673102 118.138881 \nL 205.758305 116.736559 \nL 204.224816 115.794718 \nL 202.085518 115.353996 \nL 199.38122 115.427799 \nL 196.17936 115.999487 \nL 192.56972 117.023305 \nL 188.657635 118.429147 \nL 184.555632 120.1305 \nL 180.37485 122.034077 \nL 172.17111 126.096383 \nL 161.303841 131.876113 \nL 152.907314 136.641673 \nL 148.673774 139.289544 \nL 145.372176 141.644417 \nL 142.829057 143.81422 \nL 140.874343 145.877316 \nL 139.356077 147.881074 \nL 138.145441 149.848577 \nL 136.680163 152.744781 \nL 133.619717 159.167659 \nL 132.032678 161.725872 \nL 130.773786 163.353097 \nL 129.303613 164.910892 \nL 127.575134 166.390693 \nL 125.536435 167.779074 \nL 123.12983 169.0546 \nL 120.291859 170.183456 \nL 116.954758 171.1134 \nL 113.050371 171.765615 \nL 110.865881 171.953122 \nL 108.518113 172.024125 \nL 106.003025 171.956235 \nL 103.319346 171.723105 \nL 100.469601 171.294092 \nL 97.461386 170.634024 \nL 94.308874 169.703215 \nL 91.034574 168.457835 \nL 87.671287 166.850818 \nL 84.264171 164.833524 \nL 80.872708 162.358389 \nL 77.572323 159.382816 \nL 74.455229 155.874452 \nL 71.629943 151.817887 \nL 69.218883 147.222495 \nL 67.353405 142.130679 \nL 66.165887 136.625335 \nL 65.778854 130.83464 \nL 66.291886 124.932127 \nL 67.767906 119.129965 \nL 70.22124 113.664504 \nL 73.610213 108.77458 \nL 77.836698 104.675575 \nL 82.753584 101.533828 \nL 88.179357 99.446974 \nL 93.917065 98.434641 \nL 99.773796 98.441407 \nL 105.577104 99.350663 \nL 111.185915 101.005407 \nL 116.495266 103.230906 \nL 121.435704 105.854713 \nL 125.969046 108.72135 \nL 130.082331 111.700713 \nL 133.781448 114.690978 \nL 137.085382 117.617457 \nL 140.021486 120.429092 \nL 144.920886 125.594545 \nL 148.752464 130.082375 \nL 153.065017 135.590243 \nL 157.260797 140.993219 \nL 159.064241 143.004195 \nL 160.834577 144.614605 \nL 162.663308 145.850514 \nL 164.622677 146.723897 \nL 166.768888 147.233978 \nL 169.143774 147.368833 \nL 171.774606 147.107453 \nL 174.671837 146.422708 \nL 177.824592 145.28584 \nL 181.193886 143.673286 \nL 184.703978 141.576665 \nL 188.233047 139.016377 \nL 191.605599 136.058261 \nL 193.163047 134.467292 \nL 194.590824 132.830663 \nL 195.853061 131.176106 \nL 196.912617 129.536011 \nL 197.732436 127.946783 \nL 198.277225 126.447786 \nL 198.515405 125.079762 \nL 198.421218 123.882781 \nL 197.976819 122.89385 \nL 197.174142 122.144356 \nL 196.016305 121.657616 \nL 194.518331 121.446857 \nL 192.707006 121.51396 \nL 190.619836 121.849195 \nL 188.303114 122.432005 \nL 185.809337 123.232861 \nL 180.513525 125.341857 \nL 175.163343 127.867259 \nL 170.115879 130.533715 \nL 165.613835 133.151097 \nL 161.783813 135.622014 \nL 158.659134 137.919721 \nL 156.21076 140.057244 \nL 154.375492 142.061704 \nL 153.077108 143.958537 \nL 152.240187 145.764505 \nL 151.798078 147.486282 \nL 151.696804 149.121775 \nL 151.896388 150.662231 \nL 152.37073 152.094068 \nL 153.106749 153.400045 \nL 154.103279 154.559666 \nL 155.369921 155.548887 \nL 156.925952 156.339246 \nL 158.799208 156.896492 \nL 161.024753 157.178852 \nL 163.642985 157.13507 \nL 166.696648 156.702502 \nL 170.225964 155.805748 \nL 174.260777 154.356789 \nL 178.808341 152.25825 \nL 181.266167 150.934449 \nL 183.835152 149.412442 \nL 186.500589 147.682999 \nL 189.241684 145.739929 \nL 192.030419 143.581477 \nL 194.83048 141.212023 \nL 197.596251 138.644033 \nL 200.272122 135.900159 \nL 202.792254 133.01534 \nL 205.081081 130.038644 \nL 207.054812 127.034428 \nL 208.624217 124.082395 \nL 209.698884 121.275941 \nL 210.193016 118.718336 \nL 210.032543 116.516449 \nL 209.16297 114.772032 \nL 207.557007 113.571387 \nL 205.220727 112.974683 \nL 202.19684 113.006885 \nL 198.564026 113.652434 \nL 194.431828 114.855283 \nL 189.931611 116.52489 \nL 185.204982 118.54725 \nL 180.39169 120.798848 \nL 170.993973 125.529045 \nL 155.267748 133.832556 \nL 146.917338 138.408718 \nL 142.805395 140.875318 \nL 139.612121 143.064331 \nL 137.122188 145.097659 \nL 135.141844 147.051329 \nL 133.506118 148.964098 \nL 130.747924 152.704811 \nL 128.737789 155.408931 \nL 127.281099 157.136905 \nL 125.657592 158.784382 \nL 123.810373 160.330397 \nL 121.685317 161.74906 \nL 119.229906 163.006557 \nL 116.393581 164.057063 \nL 113.130137 164.837594 \nL 111.326214 165.100745 \nL 109.402982 165.26185 \nL 107.358882 165.305387 \nL 105.194403 165.213574 \nL 102.912684 164.966244 \nL 100.520236 164.540819 \nL 98.027776 163.912421 \nL 95.451164 163.054164 \nL 92.812417 161.93775 \nL 90.14074 160.534423 \nL 87.473502 158.816374 \nL 84.857013 156.758709 \nL 82.346959 154.342009 \nL 80.008233 151.55551 \nL 77.913976 148.400776 \nL 76.143533 144.895641 \nL 74.779131 141.077984 \nL 73.901247 137.008705 \nL 73.582747 132.773149 \nL 73.882264 128.480136 \nL 74.83752 124.257949 \nL 76.459588 120.246994 \nL 78.729193 116.589485 \nL 81.595935 113.417322 \nL 84.980966 110.839843 \nL 88.78291 108.933575 \nL 92.886222 107.735818 \nL 97.170642 107.243173 \nL 101.520238 107.41508 \nL 105.830828 108.181338 \nL 110.014994 109.452021 \nL 114.004497 111.127791 \nL 117.750441 113.109123 \nL 121.221755 115.303358 \nL 124.402665 117.629265 \nL 127.289768 120.019234 \nL 129.88912 122.419633 \nL 132.213623 124.789843 \nL 134.280805 127.100593 \nL 137.726232 131.471498 \nL 140.400439 135.451722 \nL 142.475839 139.029162 \nL 144.800237 143.690827 \nL 149.04402 152.797971 \nL 150.086751 154.46452 \nL 151.235791 155.915293 \nL 152.538166 157.151248 \nL 154.03996 158.165256 \nL 155.788411 158.941407 \nL 157.83338 159.453909 \nL 160.228068 159.665572 \nL 163.028656 159.525931 \nL 166.292361 158.969191 \nL 170.073059 157.91259 \nL 174.413175 156.256181 \nL 176.799947 155.167794 \nL 179.330112 153.886066 \nL 181.998476 152.396202 \nL 184.795129 150.684375 \nL 187.704265 148.738773 \nL 190.702833 146.550989 \nL 193.759136 144.117773 \nL 196.831373 141.443192 \nL 199.866345 138.541131 \nL 202.798467 135.438066 \nL 205.549385 132.175857 \nL 208.028554 128.814226 \nL 210.135135 125.432338 \nL 211.761638 122.128851 \nL 212.799576 119.019618 \nL 213.14723 116.232298 \nL 212.719139 113.8975 \nL 211.456482 112.136647 \nL 209.336893 111.047751 \nL 206.381809 110.691257 \nL 202.659376 111.078927 \nL 198.281562 112.168873 \nL 193.395194 113.868676 \nL 188.168136 116.046775 \nL 182.773142 118.549918 \nL 172.105539 123.925665 \nL 147.382948 136.720851 \nL 139.881572 140.638633 \nL 136.239403 142.755015 \nL 133.384707 144.671667 \nL 131.090268 146.488016 \nL 128.290039 149.123562 \nL 123.322256 154.098498 \nL 121.498937 155.600062 \nL 119.474736 156.973942 \nL 117.195805 158.181463 \nL 114.617321 159.175129 \nL 111.70471 159.895269 \nL 108.437387 160.266337 \nL 106.669703 160.292165 \nL 104.815558 160.193543 \nL 102.879929 159.955332 \nL 100.870602 159.561172 \nL 98.798686 158.993692 \nL 96.679174 158.234883 \nL 94.531499 157.26664 \nL 92.380048 156.071555 \nL 90.254593 154.633956 \nL 88.190533 152.941253 \nL 86.228862 150.985568 \nL 84.415776 148.765618 \nL 82.801761 146.288746 \nL 81.440115 143.572961 \nL 80.384794 140.64874 \nL 79.687639 137.560265 \nL 79.395058 134.365767 \nL 79.54442 131.13664 \nL 80.160501 127.955034 \nL 81.252416 124.909944 \nL 82.811541 122.091861 \nL 84.810831 119.586557 \nL 87.205744 117.468693 \nL 89.936804 115.79613 \nL 92.933529 114.60579 \nL 96.119207 113.911634 \nL 99.41589 113.705049 \nL 102.749018 113.957379 \nL 106.051145 114.624154 \nL 109.264523 115.650136 \nL 112.342473 116.974577 \nL 115.249657 118.535857 \nL 117.961509 120.275254 \nL 120.463095 122.139538 \nL 122.747656 124.08249 \nL 124.81506 126.065491 \nL 126.670308 128.05741 \nL 128.322174 130.034014 \nL 129.782043 131.977121 \nL 132.178767 135.714744 \nL 133.971608 139.210814 \nL 135.269525 142.447964 \nL 136.169882 145.432586 \nL 136.7543 148.182998 \nL 137.087747 150.722358 \nL 137.219431 153.074726 \nL 137.184511 155.262987 \nL 136.86733 158.282448 \nL 136.260777 161.038709 \nL 135.69428 162.754177 \nL 134.986647 164.385818 \nL 134.12054 165.943172 \nL 133.071896 167.433647 \nL 131.80957 168.862134 \nL 130.294726 170.230228 \nL 128.480069 171.534859 \nL 126.309074 172.76609 \nL 123.715467 173.903708 \nL 120.623418 174.912062 \nL 116.949266 175.73252 \nL 112.606149 176.272731 \nL 110.157969 176.396154 \nL 107.513828 176.392033 \nL 104.667754 176.232222 \nL 101.617209 175.883141 \nL 98.364506 175.305197 \nL 94.918594 174.452385 \nL 91.297216 173.272188 \nL 87.529457 171.706032 \nL 83.658635 169.690546 \nL 79.74534 167.160029 \nL 75.870371 164.050487 \nL 72.137048 160.305707 \nL 68.67221 155.885597 \nL 65.624925 150.776804 \nL 63.161884 145.004999 \nL 61.45845 138.647367 \nL 60.684882 131.842827 \nL 60.988172 124.796546 \nL 62.471446 117.775057 \nL 65.174412 111.089103 \nL 69.059539 105.063957 \nL 74.008393 100.000684 \nL 79.830734 96.135768 \nL 86.28561 93.608632 \nL 93.110035 92.445389 \nL 100.048791 92.562813 \nL 106.87892 93.790427 \nL 113.424852 95.90366 \nL 119.563415 98.659133 \nL 125.220604 101.824465 \nL 130.36338 105.198394 \nL 134.989622 108.620522 \nL 139.118527 111.972672 \nL 142.782633 115.174711 \nL 148.879085 120.956097 \nL 153.620071 125.816416 \nL 163.828302 136.606688 \nL 165.833375 138.344582 \nL 167.708614 139.631185 \nL 169.546462 140.514289 \nL 171.411676 141.026431 \nL 173.344957 141.18894 \nL 175.365198 141.016067 \nL 177.470414 140.519297 \nL 179.637628 139.712064 \nL 181.8222 138.61494 \nL 183.957281 137.261099 \nL 185.95446 135.701608 \nL 187.706767 134.009433 \nL 189.09533 132.280678 \nL 190.000523 130.631281 \nL 190.238001 129.875846 \nL 190.31741 129.187765 \nL 190.230878 128.58201 \nL 189.973672 128.07208 \nL 189.544611 127.669407 \nL 188.946346 127.382799 \nL 188.185474 127.218022 \nL 187.272463 127.177521 \nL 185.049398 127.462274 \nL 182.42337 128.192312 \nL 179.568609 129.28446 \nL 176.662867 130.636577 \nL 173.865789 132.147362 \nL 171.304747 133.730617 \nL 169.069419 135.321577 \nL 167.213693 136.876261 \nL 165.762084 138.366671 \nL 164.717924 139.774722 \nL 164.071291 141.086861 \nL 163.805633 142.290127 \nL 163.902653 143.36977 \nL 164.345495 144.308007 \nL 165.120435 145.083539 \nL 166.217315 145.671453 \nL 167.628901 146.043397 \nL 169.349272 146.167936 \nL 171.371229 146.011307 \nL 173.682656 145.538758 \nL 176.26174 144.716955 \nL 179.070979 143.517901 \nL 182.050172 141.924924 \nL 185.108953 139.941091 \nL 188.120205 137.599905 \nL 190.916574 134.977051 \nL 193.293482 132.20031 \nL 194.253546 130.809406 \nL 195.022471 129.452632 \nL 195.572341 128.15985 \nL 195.877798 126.962125 \nL 195.917506 125.890401 \nL 195.675614 124.973908 \nL 195.143094 124.238457 \nL 194.318831 123.704735 \nL 193.210308 123.386845 \nL 191.833766 123.291199 \nL 190.213772 123.416029 \nL 188.382215 123.751506 \nL 186.376769 124.280577 \nL 182.012215 125.824072 \nL 177.461827 127.827783 \nL 173.035745 130.070769 \nL 168.971767 132.375936 \nL 165.421147 134.629089 \nL 162.456026 136.77381 \nL 160.088336 138.793763 \nL 158.291179 140.693405 \nL 157.01735 142.483327 \nL 156.213089 144.171606 \nL 155.827166 145.760032 \nL 155.816207 147.243334 \nL 156.147354 148.609814 \nL 156.799172 149.842243 \nL 157.761462 150.918541 \nL 159.034438 151.811962 \nL 160.62744 152.490743 \nL 162.55725 152.917385 \nL 164.84583 153.047685 \nL 167.517159 152.829851 \nL 170.592668 152.204137 \nL 174.084579 151.103782 \nL 177.9863 149.458345 \nL 182.259095 147.201182 \nL 184.509537 145.826626 \nL 186.814643 144.283176 \nL 189.152212 142.571066 \nL 191.494305 140.694938 \nL 193.80669 138.665025 \nL 196.048492 136.498405 \nL 198.172127 134.22021 \nL 200.123704 131.864676 \nL 201.844002 129.475763 \nL 203.270179 127.107171 \nL 204.338296 124.821442 \nL 204.986704 122.687911 \nL 205.160161 120.779355 \nL 204.81446 119.167366 \nL 203.921078 117.916683 \nL 202.4713 117.079085 \nL 200.479062 116.687661 \nL 197.981967 116.752496 \nL 195.039967 117.258686 \nL 191.731707 118.167284 \nL 188.148907 119.419274 \nL 184.38955 120.941908 \nL 176.723014 124.485661 \nL 169.398978 128.224192 \nL 162.864142 131.763695 \nL 157.329963 134.929611 \nL 152.825128 137.711898 \nL 149.266074 140.183855 \nL 146.515844 142.438843 \nL 144.423069 144.556398 \nL 142.843806 146.591115 \nL 141.651731 148.573971 \nL 140.741304 150.518382 \nL 139.721803 153.366498 \nL 138.452191 157.894473 \nL 137.460981 161.279514 \nL 136.579785 163.670429 \nL 135.485521 165.938346 \nL 134.592769 167.385838 \nL 133.533422 168.784629 \nL 132.271211 170.136254 \nL 130.763547 171.440226 \nL 128.960181 172.692405 \nL 126.801964 173.882621 \nL 124.219914 174.991107 \nL 121.135004 175.983225 \nL 117.459462 176.801733 \nL 113.100909 177.355714 \nL 110.637506 177.492231 \nL 107.971662 177.50535 \nL 105.09611 177.366735 \nL 102.006852 177.04238 \nL 98.704613 176.491937 \nL 95.196655 175.668185 \nL 91.499018 174.516795 \nL 87.639204 172.97663 \nL 83.659243 170.980829 \nL 79.619023 168.459138 \nL 75.599581 165.341866 \nL 71.70588 161.566037 \nL 68.068278 157.084009 \nL 64.841749 151.874722 \nL 62.201597 145.956999 \nL 60.334509 139.403505 \nL 59.424245 132.352718 \nL 59.632257 125.015199 \nL 61.075127 117.669833 \nL 63.802647 110.646651 \nL 67.781663 104.29532 \nL 72.890921 98.942903 \nL 78.93011 94.848844 \nL 85.642515 92.168036 \nL 92.746562 90.931783 \nL 99.968845 91.051374 \nL 107.071293 92.342345 \nL 113.867793 94.561316 \nL 120.229403 97.445236 \nL 126.080382 100.744328 \nL 131.388782 104.24398 \nL 136.155202 107.775002 \nL 140.402221 111.214511 \nL 144.165787 114.480826 \nL 150.417002 120.325352 \nL 157.276645 127.246397 \nL 164.543438 134.648854 \nL 166.659786 136.51823 \nL 168.561607 137.905325 \nL 170.353844 138.873722 \nL 172.110453 139.46946 \nL 173.878962 139.725683 \nL 175.683785 139.667153 \nL 177.528365 139.314637 \nL 179.396444 138.689253 \nL 181.252835 137.816803 \nL 183.044345 136.731984 \nL 184.701497 135.482013 \nL 186.141955 134.12904 \nL 187.276295 132.750353 \nL 188.016544 131.435455 \nL 188.287125 130.279387 \nL 188.229048 129.789676 \nL 188.036937 129.372559 \nL 187.710017 129.036627 \nL 187.250207 128.788696 \nL 186.662191 128.63353 \nL 185.133725 128.609345 \nL 183.212857 128.957162 \nL 181.017691 129.637446 \nL 178.681339 130.587439 \nL 176.336025 131.733653 \nL 174.099712 133.003623 \nL 172.067557 134.334161 \nL 170.308681 135.675024 \nL 168.867365 136.988666 \nL 167.767046 138.247582 \nL 167.015541 139.430804 \nL 166.610233 140.520624 \nL 166.542506 141.500073 \nL 166.801074 142.35128 \nL 167.374109 143.054559 \nL 168.250251 143.588046 \nL 169.418575 143.927782 \nL 170.86762 144.048154 \nL 172.583512 143.92275 \nL 174.54722 143.525806 \nL 176.730989 142.834484 \nL 179.094036 141.832206 \nL 181.577801 140.513334 \nL 184.101351 138.889201 \nL 186.55795 136.99512 \nL 188.814391 134.897328 \nL 190.715065 132.697804 \nL 192.092831 130.534007 \nL 192.53469 129.516257 \nL 192.78773 128.570271 \nL 192.837274 127.717663 \nL 192.672454 126.978818 \nL 192.28702 126.371878 \nL 191.67998 125.911747 \nL 190.856023 125.609217 \nL 189.825638 125.47031 \nL 188.604892 125.495933 \nL 187.214913 125.68186 \nL 184.031668 126.494472 \nL 180.508552 127.792822 \nL 176.888611 129.429257 \nL 173.389994 131.257617 \nL 170.182832 133.157873 \nL 167.381002 135.046413 \nL 165.046103 136.873754 \nL 163.198417 138.615308 \nL 161.829999 140.260713 \nL 160.916726 141.805053 \nL 160.42782 143.243074 \nL 160.332571 144.566106 \nL 160.604575 145.760801 \nL 161.223997 146.808884 \nL 162.178358 147.687253 \nL 163.462226 148.368107 \nL 165.076017 148.818967 \nL 167.023956 149.002637 \nL 169.311103 148.877362 \nL 171.939213 148.397506 \nL 174.901068 147.515357 \nL 178.172972 146.184803 \nL 181.705154 144.367877 \nL 185.410353 142.045211 \nL 189.151732 139.231063 \nL 190.977074 137.657986 \nL 192.73279 135.992411 \nL 194.384454 134.254274 \nL 195.894216 132.46907 \nL 197.221587 130.667994 \nL 198.32462 128.887692 \nL 199.161512 127.16953 \nL 199.692602 125.558268 \nL 199.882704 124.100135 \nL 199.703608 122.840324 \nL 199.13658 121.820049 \nL 198.174503 121.073437 \nL 196.823471 120.624644 \nL 195.103458 120.485507 \nL 193.047935 120.654287 \nL 190.702335 121.115609 \nL 188.121519 121.841822 \nL 185.366474 122.795554 \nL 179.586321 125.208457 \nL 173.837499 127.996286 \nL 168.494914 130.859922 \nL 163.795781 133.610024 \nL 159.847298 136.164606 \nL 156.658643 138.516184 \nL 154.1779 140.694201 \nL 152.322963 142.737065 \nL 151.003192 144.676854 \nL 150.132663 146.533814 \nL 149.637217 148.316456 \nL 149.457418 150.024024 \nL 149.549102 151.649337 \nL 149.882641 153.18106 \nL 150.441683 154.605146 \nL 151.221808 155.905413 \nL 152.229326 157.063424 \nL 153.480313 158.057777 \nL 154.999886 158.862909 \nL 156.821575 159.447471 \nL 158.986635 159.772325 \nL 161.542941 159.788193 \nL 164.542969 159.433131 \nL 168.04013 158.630127 \nL 172.082281 157.285621 \nL 176.700893 155.290339 \nL 179.227657 154.011465 \nL 181.893842 152.525039 \nL 184.689718 150.817004 \nL 187.599702 148.875273 \nL 190.601022 146.69111 \nL 193.662287 144.260882 \nL 196.742027 141.588189 \nL 199.787374 138.686387 \nL 202.733048 135.581359 \nL 205.500924 132.314346 \nL 208.000556 128.944455 \nL 210.131021 125.550319 \nL 211.784483 122.230253 \nL 212.851804 119.100036 \nL 213.230256 116.287658 \nL 212.833021 113.924548 \nL 211.599649 112.133454 \nL 209.505992 111.014171 \nL 206.571759 110.629207 \nL 202.863659 110.992388 \nL 198.492735 112.063547 \nL 193.605539 113.751348 \nL 188.37036 115.924491 \nL 182.96097 118.429163 \nL 172.251583 123.822077 \nL 147.392443 136.680535 \nL 139.844801 140.60792 \nL 136.180217 142.724385 \nL 133.308295 144.6383 \nL 131.000528 146.450417 \nL 128.185276 149.078412 \nL 123.196484 154.036116 \nL 121.367395 155.530835 \nL 119.337876 156.896846 \nL 117.05425 158.095108 \nL 114.472086 159.077736 \nL 111.557448 159.784681 \nL 108.290682 160.14009 \nL 106.524628 160.157112 \nL 104.673263 160.049045 \nL 102.741778 159.800791 \nL 100.738185 159.396075 \nL 98.673842 158.817661 \nL 96.563991 158.047728 \nL 94.428306 157.068441 \nL 92.291397 155.862747 \nL 90.183213 154.41542 \nL 88.139259 152.714418 \nL 86.200542 150.752509 \nL 84.413127 148.529131 \nL 82.82721 146.052403 \nL 81.495591 143.341114 \nL 80.471524 140.426453 \nL 79.805928 137.353168 \nL 79.5441 134.179814 \nL 79.722161 130.977771 \nL 80.363584 127.82878 \nL 81.476234 124.820964 \nL 83.050419 122.043539 \nL 85.058302 119.580651 \nL 87.454917 117.505124 \nL 90.180791 115.872959 \nL 93.165851 114.719386 \nL 96.334145 114.057002 \nL 99.608739 113.876268 \nL 102.916228 114.148098 \nL 106.190346 114.828069 \nL 109.374451 115.861387 \nL 112.422832 117.188022 \nL 115.30094 118.747253 \nL 117.984799 120.481286 \nL 120.459885 122.337806 \nL 122.719686 124.271403 \nL 124.764185 126.244152 \nL 126.598386 128.225461 \nL 128.230993 130.191517 \nL 129.673265 132.124442 \nL 132.039091 135.84354 \nL 133.80546 139.324106 \nL 135.079717 142.548882 \nL 135.95768 145.52403 \nL 136.519547 148.267518 \nL 136.82899 150.80215 \nL 136.934007 153.151649 \nL 136.868593 155.338618 \nL 136.654632 157.383581 \nL 136.303652 159.304651 \nL 135.818276 161.117526 \nL 135.193268 162.835588 \nL 134.416177 164.470024 \nL 133.467587 166.029811 \nL 132.321025 167.521492 \nL 130.942564 168.948645 \nL 129.290215 170.310844 \nL 127.313226 171.601962 \nL 124.951467 172.807452 \nL 122.135285 173.900229 \nL 118.786406 174.834546 \nL 114.82095 175.537164 \nL 112.580827 175.768247 \nL 110.156282 175.895111 \nL 107.539378 175.894798 \nL 104.724486 175.739688 \nL 101.70937 175.396893 \nL 98.496569 174.827707 \nL 95.095129 173.987242 \nL 91.522689 172.824354 \nL 87.807951 171.282119 \nL 83.993439 169.299069 \nL 80.138436 166.811599 \nL 76.32176 163.757895 \nL 72.643987 160.083774 \nL 69.228349 155.75069 \nL 66.219504 150.745908 \nL 63.779102 145.094222 \nL 62.077248 138.869896 \nL 61.279367 132.206428 \nL 61.528906 125.300982 \nL 62.927649 118.409944 \nL 65.516938 111.832901 \nL 69.264149 105.884709 \nL 74.058686 100.858781 \nL 79.720031 96.988468 \nL 86.017252 94.415427 \nL 92.696122 93.173021 \nL 99.507693 93.188761 \nL 106.232269 94.30421 \nL 112.694743 96.306048 \nL 118.770262 98.959783 \nL 124.381877 102.03888 \nL 129.493113 105.344936 \nL 134.098503 108.718014 \nL 138.214311 112.038744 \nL 141.870689 115.224874 \nL 147.960947 121.011086 \nL 152.701056 125.909892 \nL 163.940481 137.904511 \nL 165.875268 139.483574 \nL 167.737381 140.63452 \nL 169.607907 141.395112 \nL 171.542601 141.789526 \nL 173.57478 141.832159 \nL 175.71676 141.531648 \nL 177.959929 140.895311 \nL 180.273793 139.934178 \nL 182.604508 138.668758 \nL 184.873775 137.135262 \nL 186.97932 135.391603 \nL 188.798443 133.521847 \nL 190.196162 131.637118 \nL 190.694719 130.73022 \nL 191.038933 129.870754 \nL 191.215434 129.076839 \nL 191.213468 128.366049 \nL 191.025554 127.754672 \nL 190.648057 127.256958 \nL 190.081623 126.884418 \nL 189.331427 126.645224 \nL 188.407196 126.543776 \nL 187.323004 126.580494 \nL 184.749797 127.050711 \nL 181.789112 127.987299 \nL 178.641555 129.283652 \nL 175.50218 130.82001 \nL 172.537465 132.485811 \nL 169.872503 134.193446 \nL 167.588534 135.882072 \nL 165.728082 137.513954 \nL 164.303976 139.067382 \nL 163.309216 140.529277 \nL 162.725738 141.889427 \nL 162.53125 143.136686 \nL 162.703983 144.25694 \nL 163.225583 145.232197 \nL 164.082475 146.040338 \nL 165.265996 146.655137 \nL 166.771486 147.0464 \nL 168.596458 147.180241 \nL 170.737764 147.019643 \nL 173.187658 146.525673 \nL 175.928559 145.659775 \nL 178.92636 144.387796 \nL 182.122373 142.686411 \nL 185.424404 140.552554 \nL 188.698303 138.015875 \nL 191.762585 135.153164 \nL 193.146642 133.639761 \nL 194.39007 132.101427 \nL 195.459564 130.565685 \nL 196.321548 129.06379 \nL 196.94352 127.629934 \nL 197.295662 126.300032 \nL 197.352597 125.110148 \nL 197.095192 124.094551 \nL 196.512247 123.283588 \nL 195.601879 122.701578 \nL 194.372397 122.364886 \nL 192.842549 122.280588 \nL 191.041002 122.445773 \nL 189.005069 122.847781 \nL 186.778803 123.465262 \nL 184.410597 124.270042 \nL 179.448193 126.30897 \nL 174.496694 128.694789 \nL 169.862894 131.195002 \nL 165.752263 133.651645 \nL 162.270703 135.983582 \nL 159.445075 138.166892 \nL 157.249554 140.209477 \nL 155.629468 142.130394 \nL 154.519284 143.947143 \nL 153.854513 145.669933 \nL 153.57872 147.300407 \nL 153.64705 148.832546 \nL 154.027516 150.254196 \nL 154.700967 151.548344 \nL 155.660363 152.693837 \nL 156.909719 153.665422 \nL 158.46287 154.433184 \nL 160.342061 154.961488 \nL 162.576193 155.207589 \nL 165.198374 155.120112 \nL 168.242289 154.637741 \nL 171.736597 153.688768 \nL 175.696404 152.192472 \nL 180.110606 150.064058 \nL 182.473195 148.737695 \nL 184.92405 147.225535 \nL 187.445538 145.522177 \nL 190.014101 143.625805 \nL 192.599362 141.539508 \nL 195.163324 139.272813 \nL 197.659777 136.843323 \nL 200.03405 134.278386 \nL 202.223289 131.616594 \nL 204.15748 128.908832 \nL 205.761402 126.218561 \nL 206.957696 123.620945 \nL 207.671096 121.20041 \nL 207.833761 119.046401 \nL 207.391338 117.247304 \nL 206.309162 115.882804 \nL 204.577775 115.015612 \nL 202.21669 114.683645 \nL 199.275553 114.894267 \nL 195.832041 115.621976 \nL 191.986498 116.810338 \nL 187.853969 118.378194 \nL 183.554821 120.229074 \nL 174.910652 124.381988 \nL 166.814945 128.575381 \nL 156.631131 134.092811 \nL 151.324923 137.124752 \nL 147.118002 139.734557 \nL 143.844294 142.052837 \nL 141.317529 144.193054 \nL 139.360003 146.234172 \nL 137.815312 148.221994 \nL 136.551908 150.177488 \nL 134.457253 154.003222 \nL 132.428118 157.674777 \nL 130.668539 160.286768 \nL 129.289984 161.944473 \nL 127.691276 163.523681 \nL 125.822526 165.010978 \nL 123.630371 166.387053 \nL 121.057424 167.62309 \nL 118.042951 168.67589 \nL 114.525502 169.481361 \nL 112.560077 169.76358 \nL 110.448616 169.946129 \nL 108.186558 170.01109 \nL 105.771339 169.937393 \nL 103.203155 169.700501 \nL 100.485903 169.272164 \nL 97.628313 168.620321 \nL 94.645294 167.709211 \nL 91.559442 166.499854 \nL 88.402694 164.950977 \nL 85.218033 163.020657 \nL 82.061046 160.66876 \nL 79.001106 157.860436 \nL 76.121852 154.570713 \nL 73.520485 150.790201 \nL 71.305427 146.531564 \nL 69.591879 141.836212 \nL 68.495002 136.780097 \nL 68.12079 131.47728 \nL 68.555271 126.079534 \nL 69.853305 120.770586 \nL 72.028854 115.754225 \nL 75.048846 111.236799 \nL 78.832453 107.406291 \nL 83.256642 104.411517 \nL 88.167448 102.345621 \nL 93.395045 101.23739 \nL 98.769723 101.052085 \nL 104.135968 101.701126 \nL 109.362538 103.057901 \nL 114.347722 104.975939 \nL 119.020159 107.305864 \nL 123.336322 109.908599 \nL 127.276087 112.663838 \nL 130.837632 115.473961 \nL 134.032503 118.264317 \nL 136.881367 120.981139 \nL 139.410597 123.588272 \nL 143.629389 128.395123 \nL 146.932447 132.61572 \nL 150.668358 137.894366 \nL 154.359413 143.247057 \nL 155.979541 145.314603 \nL 157.595706 147.024089 \nL 159.292751 148.395383 \nL 161.140912 149.435571 \nL 163.199128 150.139331 \nL 165.517005 150.489405 \nL 168.135117 150.457244 \nL 171.08331 150.004182 \nL 174.376596 149.083748 \nL 178.008131 147.646044 \nL 181.938955 145.645472 \nL 186.084537 143.053409 \nL 188.195178 141.535782 \nL 190.2993 139.877121 \nL 192.366797 138.088094 \nL 194.362278 136.184988 \nL 196.245168 134.190576 \nL 197.970151 132.134775 \nL 199.488075 130.054989 \nL 200.747388 127.995956 \nL 201.696183 126.008911 \nL 202.284817 124.149921 \nL 202.469041 122.477327 \nL 202.213439 121.048297 \nL 201.494837 119.91474 \nL 200.305327 119.118883 \nL 198.654383 118.689205 \nL 196.569702 118.637237 \nL 194.096461 118.955944 \nL 191.294914 119.62004 \nL 188.236571 120.58836 \nL 184.999393 121.807987 \nL 181.662654 123.219464 \nL 174.98607 126.379777 \nL 168.708047 129.652515 \nL 163.152177 132.766839 \nL 158.466232 135.606999 \nL 154.664312 138.167934 \nL 151.678127 140.499417 \nL 149.39957 142.66401 \nL 147.709638 144.71452 \nL 146.495355 146.68642 \nL 145.658176 148.598595 \nL 145.117039 150.457426 \nL 144.808372 152.261291 \nL 144.68456 154.004245 \nL 144.77477 156.487476 \nL 145.140681 158.789513 \nL 145.760798 160.885469 \nL 146.321303 162.156392 \nL 147.0127 163.317194 \nL 147.853007 164.358632 \nL 148.866317 165.269101 \nL 150.083219 166.033488 \nL 151.54142 166.631756 \nL 153.286485 167.037136 \nL 155.372568 167.213832 \nL 157.862878 167.114111 \nL 160.829485 166.674704 \nL 164.351749 165.812575 \nL 168.512217 164.420439 \nL 173.388105 162.36309 \nL 176.11333 161.034822 \nL 179.03552 159.476909 \nL 182.153978 157.665634 \nL 185.462479 155.577211 \nL 188.947487 153.189053 \nL 192.586044 150.481608 \nL 196.343344 147.440878 \nL 200.170098 144.061723 \nL 203.999831 140.35202 \nL 207.746441 136.337617 \nL 211.302435 132.067821 \nL 214.538514 127.620878 \nL 217.30533 123.108496 \nL 219.438327 118.67798 \nL 220.766603 114.51019 \nL 221.126264 110.811278 \nL 220.377979 107.79677 \nL 218.427196 105.667827 \nL 215.243738 104.58191 \nL 210.876305 104.623113 \nL 205.456942 105.779897 \nL 199.192245 107.937975 \nL 192.341202 110.893149 \nL 185.184047 114.382577 \nL 170.987264 121.869358 \nL 158.202768 128.611188 \nL 152.599191 131.407308 \nL 147.561317 133.783271 \nL 139.113529 137.393333 \nL 132.568505 139.829758 \nL 115.924649 145.607476 \nL 112.191349 147.06264 \nL 109.510569 147.835573 \nL 107.684817 148.131251 \nL 105.807173 148.205575 \nL 103.883456 148.020518 \nL 101.939781 147.541762 \nL 100.022086 146.742104 \nL 98.195182 145.606126 \nL 96.540431 144.136029 \nL 95.151091 142.35805 \nL 94.586524 141.369823 \nL 94.124638 140.32816 \nL 93.7765 139.24521 \nL 93.551945 138.135104 \nL 93.459154 137.01376 \nL 93.50423 135.898547 \nL 93.690846 134.807869 \nL 94.019945 133.760626 \nL 94.489552 132.775605 \nL 95.0947 131.870835 \nL 95.827494 131.062926 \nL 96.677298 130.366465 \nL 97.631073 129.793498 \nL 98.673779 129.353116 \nL 99.788892 129.051219 \nL 100.958948 128.890435 \nL 102.166101 128.870191 \nL 103.392648 128.986955 \nL 104.621521 129.234572 \nL 105.836681 129.604718 \nL 108.168635 130.671288 \nL 110.290419 132.09492 \nL 112.131198 133.778736 \nL 113.645865 135.631313 \nL 114.81072 137.572841 \nL 115.618023 139.537374 \nL 116.070596 141.472309 \nL 116.177251 143.336216 \nL 115.949304 145.095972 \nL 115.39833 146.72374 \nL 114.535034 148.19409 \nL 113.369191 149.48142 \nL 111.910572 150.557683 \nL 110.170819 151.390509 \nL 108.166284 151.941831 \nL 105.92183 152.167258 \nL 103.475546 152.016609 \nL 100.884141 151.436256 \nL 99.558202 150.968397 \nL 98.228449 150.374098 \nL 96.9095 149.64847 \nL 95.617901 148.787985 \nL 94.372088 147.790966 \nL 93.192227 146.658106 \nL 92.099944 145.393022 \nL 91.117908 144.002789 \nL 90.269261 142.498433 \nL 89.576895 140.895303 \nL 89.062586 139.213285 \nL 88.746032 137.476772 \nL 88.64382 135.714353 \nL 88.768412 133.958178 \nL 89.127244 132.242976 \nL 89.721987 130.604773 \nL 90.548096 129.079354 \nL 91.594685 127.700597 \nL 92.844805 126.498839 \nL 94.276045 125.499356 \nL 95.861514 124.721177 \nL 97.571029 124.176326 \nL 99.372469 123.869526 \nL 101.233143 123.79841 \nL 103.121093 123.954179 \nL 105.006189 124.322595 \nL 106.861024 124.885203 \nL 108.661514 125.620646 \nL 110.387256 126.50594 \nL 112.021634 127.517627 \nL 113.551722 128.632733 \nL 114.968044 129.829514 \nL 116.264226 131.087979 \nL 117.436581 132.390187 \nL 119.405919 135.065096 \nL 120.884077 137.754101 \nL 121.896067 140.387732 \nL 122.474074 142.92062 \nL 122.650437 145.324582 \nL 122.45313 147.58246 \nL 121.903221 149.683058 \nL 121.013837 151.61708 \nL 119.790226 153.373799 \nL 118.230709 154.938116 \nL 116.328445 156.287818 \nL 114.07411 157.39076 \nL 111.459757 158.201967 \nL 110.016769 158.479903 \nL 108.484273 158.660799 \nL 106.864434 158.734241 \nL 105.160922 158.688628 \nL 103.379296 158.511192 \nL 101.527423 158.188119 \nL 99.61593 157.704742 \nL 97.658684 157.045878 \nL 95.67325 156.196278 \nL 93.681346 155.14131 \nL 91.709176 153.867809 \nL 89.787647 152.365183 \nL 87.952364 150.626724 \nL 86.243316 148.651128 \nL 84.70418 146.444145 \nL 83.381169 144.020222 \nL 82.321365 141.40399 \nL 81.570535 138.631353 \nL 81.170506 135.749916 \nL 81.156269 132.8185 \nL 81.553043 129.905529 \nL 82.373611 127.086193 \nL 83.61635 124.438481 \nL 85.264217 122.038362 \nL 87.284982 119.954632 \nL 89.632768 118.244027 \nL 92.250753 116.947301 \nL 95.07477 116.086741 \nL 98.037327 115.665542 \nL 101.071568 115.668942 \nL 104.114766 116.066895 \nL 107.111002 116.817804 \nL 110.012935 117.872654 \nL 112.782623 119.179108 \nL 115.391545 120.684997 \nL 117.82003 122.341103 \nL 120.056256 124.103006 \nL 122.095063 125.932144 \nL 123.936695 127.796188 \nL 125.585588 129.668898 \nL 127.04928 131.529647 \nL 128.337458 133.362754 \nL 130.43214 136.903622 \nL 131.963532 140.237392 \nL 133.023287 143.345825 \nL 133.692621 146.231642 \nL 134.038505 148.908607 \nL 134.112601 151.395356 \nL 133.951735 153.71174 \nL 133.579092 155.876753 \nL 133.005598 157.907401 \nL 132.231202 159.818021 \nL 131.245871 161.619808 \nL 130.030274 163.320289 \nL 128.556172 164.922533 \nL 126.786598 166.423896 \nL 124.676023 167.814053 \nL 122.170781 169.071998 \nL 119.210225 170.161648 \nL 115.729384 171.025588 \nL 113.773602 171.3471 \nL 111.6643 171.576566 \nL 109.395252 171.696628 \nL 106.961892 171.686591 \nL 104.362062 171.522019 \nL 101.596947 171.174371 \nL 98.672242 170.610743 \nL 95.599533 169.793794 \nL 92.39794 168.681967 \nL 89.095956 167.230188 \nL 85.733431 165.391195 \nL 82.36354 163.117765 \nL 79.054519 160.36604 \nL 75.890807 157.10016 \nL 72.973086 153.298281 \nL 70.416721 148.959822 \nL 68.347895 144.113442 \nL 66.897026 138.824708 \nL 66.189247 133.20195 \nL 66.332396 127.398288 \nL 67.403693 121.607839 \nL 69.437178 116.054653 \nL 72.414494 110.974223 \nL 76.261529 106.58954 \nL 80.852552 103.085541 \nL 86.021773 100.587142 \nL 91.580355 99.145725 \nL 97.335557 98.73704 \nL 103.108283 99.27056 \nL 108.74612 100.607311 \nL 114.130502 102.581621 \nL 119.178244 105.022037 \nL 123.83878 107.767982 \nL 128.088905 110.680585 \nL 131.926608 113.647707 \nL 135.365153 116.584431 \nL 138.428013 119.430553 \nL 141.14487 122.146512 \nL 145.673416 127.106348 \nL 149.219763 131.399768 \nL 154.342634 138.142068 \nL 157.238683 141.841422 \nL 159.00138 143.7679 \nL 160.759328 145.306948 \nL 162.598532 146.480154 \nL 164.587331 147.295435 \nL 166.779303 147.748266 \nL 169.214551 147.823151 \nL 171.919091 147.495632 \nL 174.9021 146.735262 \nL 178.150791 145.510303 \nL 181.622917 143.794941 \nL 185.237298 141.580036 \nL 188.863657 138.887804 \nL 190.625084 137.38262 \nL 192.314497 135.789865 \nL 193.899255 134.129247 \nL 195.343617 132.425581 \nL 196.609518 130.708873 \nL 197.657704 129.014045 \nL 198.449249 127.380202 \nL 198.947418 125.849387 \nL 199.119815 124.464775 \nL 198.940663 123.268377 \nL 198.393052 122.298379 \nL 197.47087 121.586346 \nL 196.180204 121.154633 \nL 194.539918 121.014331 \nL 192.581278 121.164126 \nL 190.34658 121.59028 \nL 187.88684 122.267834 \nL 185.258839 123.162848 \nL 179.734154 125.44338 \nL 174.219817 128.101755 \nL 169.073639 130.857146 \nL 164.527795 133.52624 \nL 160.693318 136.023901 \nL 157.587867 138.335313 \nL 155.169316 140.482249 \nL 153.36475 142.497017 \nL 152.091327 144.407525 \nL 151.269426 146.231405 \nL 150.829893 147.975524 \nL 150.717326 149.637892 \nL 150.890938 151.21009 \nL 151.324107 152.679261 \nL 152.003322 154.029353 \nL 152.926979 155.241533 \nL 154.104239 156.293926 \nL 155.55402 157.16075 \nL 157.304083 157.810968 \nL 159.390051 158.206522 \nL 161.854053 158.300272 \nL 164.742551 158.033764 \nL 168.102658 157.335217 \nL 171.975926 156.1184 \nL 176.388262 154.283725 \nL 178.796686 153.101135 \nL 181.334251 151.723782 \nL 183.991612 150.139226 \nL 186.754128 148.336877 \nL 189.600697 146.30922 \nL 192.502517 144.053324 \nL 195.421845 141.5727 \nL 198.31085 138.879458 \nL 201.110759 135.996672 \nL 203.751513 132.960774 \nL 206.152189 129.823699 \nL 208.222551 126.654332 \nL 209.866028 123.538698 \nL 210.98438 120.578275 \nL 211.48413 117.885817 \nL 211.284527 115.5783 \nL 210.326408 113.767093 \nL 208.580842 112.546138 \nL 206.056067 111.979738 \nL 202.801099 112.092268 \nL 198.904701 112.862328 \nL 194.489259 114.223229 \nL 189.700153 116.070466 \nL 184.692413 118.274903 \nL 174.609306 123.212728 \nL 157.076817 132.369838 \nL 145.035053 138.761445 \nL 140.861995 141.170116 \nL 137.618347 143.295266 \nL 135.074407 145.265762 \nL 133.027027 147.159033 \nL 130.521095 149.928119 \nL 126.032207 155.211004 \nL 124.364211 156.839637 \nL 122.497396 158.363682 \nL 120.375433 159.753198 \nL 117.946918 160.970696 \nL 115.165562 161.96752 \nL 111.992524 162.679343 \nL 110.25022 162.902737 \nL 108.40157 163.021052 \nL 106.446717 163.019573 \nL 104.387958 162.881738 \nL 102.230281 162.589097 \nL 99.982006 162.121398 \nL 97.655491 161.456791 \nL 95.267901 160.572249 \nL 92.842011 159.444233 \nL 90.406959 158.049683 \nL 87.998903 156.3674 \nL 85.661457 154.37985 \nL 83.445718 152.075426 \nL 81.409813 149.451091 \nL 79.617684 146.515319 \nL 78.137012 143.291034 \nL 77.036181 139.818222 \nL 76.380273 136.155682 \nL 76.226289 132.381375 \nL 76.618 128.590833 \nL 77.580996 124.893234 \nL 79.118685 121.405118 \nL 81.209976 118.242147 \nL 83.809218 115.509854 \nL 86.848663 113.29461 \nL 90.243248 111.656324 \nL 93.897023 110.624012 \nL 97.710324 110.194968 \nL 101.586637 110.337475 \nL 105.438294 110.996406 \nL 109.190463 112.10052 \nL 112.783277 113.570154 \nL 116.172254 115.324255 \nL 119.327445 117.285934 \nL 122.231701 119.386292 \nL 124.878546 121.566525 \nL 127.269945 123.77858 \nL 129.414209 125.984787 \nL 131.324167 128.156818 \nL 133.015627 130.27433 \nL 135.814107 134.29576 \nL 137.955688 137.993585 \nL 139.580754 141.360862 \nL 140.813982 144.415295 \nL 142.15425 148.472474 \nL 143.660142 154.079436 \nL 144.937275 158.554704 \nL 145.81322 160.791625 \nL 146.498755 162.110579 \nL 147.296325 163.292904 \nL 148.234517 164.335065 \nL 149.345424 165.228963 \nL 150.665968 165.961152 \nL 152.239144 166.511638 \nL 154.115173 166.852191 \nL 156.352413 166.944042 \nL 159.017805 166.734897 \nL 162.186339 166.155232 \nL 165.938728 165.114038 \nL 170.355898 163.494634 \nL 175.508094 161.152013 \nL 178.374309 159.656751 \nL 181.435409 157.914846 \nL 184.686402 155.90278 \nL 188.115453 153.597948 \nL 191.701866 150.980337 \nL 195.413765 148.03486 \nL 199.205528 144.754442 \nL 203.01515 141.143933 \nL 206.761748 137.224816 \nL 210.343664 133.040516 \nL 213.637731 128.661814 \nL 216.500483 124.191584 \nL 218.772205 119.7675 \nL 220.284733 115.561038 \nL 220.873578 111.77086 \nL 220.394346 108.608933 \nL 218.742155 106.278872 \nL 215.871318 104.948143 \nL 211.811096 104.718554 \nL 206.672706 105.602104 \nL 200.643828 107.51006 \nL 193.969793 110.260782 \nL 186.92464 113.606487 \nL 179.77865 117.272524 \nL 159.855737 127.840095 \nL 154.154382 130.722904 \nL 149.010822 133.19278 \nL 140.355073 136.980165 \nL 133.630499 139.556786 \nL 116.572247 145.668628 \nL 111.889474 147.554247 \nL 110.078344 148.092731 \nL 108.22479 148.452158 \nL 106.309743 148.591833 \nL 104.335507 148.471467 \nL 102.325157 148.053473 \nL 100.322397 147.306265 \nL 98.391101 146.208888 \nL 96.613608 144.757073 \nL 95.086722 142.970266 \nL 94.449748 141.965512 \nL 93.914448 140.898418 \nL 93.493169 139.780749 \nL 93.197186 138.626491 \nL 93.036215 137.451706 \nL 93.017957 136.274236 \nL 93.147659 135.113299 \nL 93.427761 133.988958 \nL 93.85762 132.921481 \nL 94.433373 131.930637 \nL 95.147936 131.034979 \nL 95.991155 130.251141 \nL 96.950105 129.593203 \nL 98.00951 129.0722 \nL 99.152267 128.695775 \nL 100.36004 128.468019 \nL 101.61387 128.389488 \nL 102.894776 128.45741 \nL 104.184299 128.666035 \nL 105.464984 129.007083 \nL 106.720742 129.470277 \nL 109.101541 130.715291 \nL 111.233301 132.299231 \nL 113.05206 134.119787 \nL 114.520173 136.084026 \nL 115.620851 138.113351 \nL 116.352049 140.14454 \nL 116.720822 142.128275 \nL 116.738752 144.026318 \nL 116.418648 145.808257 \nL 115.772544 147.44827 \nL 114.810846 148.922153 \nL 113.542561 150.204688 \nL 111.976511 151.267319 \nL 110.123517 152.076248 \nL 107.999611 152.591034 \nL 105.630274 152.763973 \nL 103.055672 152.540765 \nL 101.709433 152.262438 \nL 100.336651 151.863206 \nL 98.949164 151.336111 \nL 97.56081 150.67487 \nL 96.187524 149.874287 \nL 94.84737 148.930721 \nL 93.56046 147.842641 \nL 92.34877 146.611224 \nL 91.235815 145.240961 \nL 90.246141 143.740266 \nL 89.40466 142.121999 \nL 88.73581 140.40386 \nL 88.262549 138.608567 \nL 88.005265 136.763757 \nL 87.980618 134.901539 \nL 88.200437 133.057681 \nL 88.67075 131.270389 \nL 89.391062 129.578785 \nL 90.353972 128.021103 \nL 91.545183 126.632827 \nL 92.943961 125.444859 \nL 94.52398 124.48195 \nL 96.254523 123.761553 \nL 98.101914 123.293166 \nL 100.031053 123.078262 \nL 102.006921 123.110766 \nL 103.995938 123.377997 \nL 105.967086 123.861926 \nL 107.892733 124.540628 \nL 109.749155 125.389748 \nL 111.516774 126.383881 \nL 113.180143 127.497764 \nL 114.727733 128.707203 \nL 116.151584 129.989769 \nL 117.446865 131.325225 \nL 118.611398 132.695753 \nL 120.549865 135.483022 \nL 121.98475 138.256342 \nL 122.948456 140.952211 \nL 123.478245 143.531113 \nL 123.609537 145.970021 \nL 123.37177 148.256084 \nL 122.786215 150.38162 \nL 121.86521 152.340181 \nL 120.612418 154.12334 \nL 119.023863 155.717875 \nL 117.089702 157.103047 \nL 114.79686 158.247722 \nL 112.132821 159.107284 \nL 110.659133 159.41173 \nL 109.091041 159.620437 \nL 107.429907 159.722659 \nL 105.678581 159.706303 \nL 103.841781 159.557934 \nL 101.926558 159.262851 \nL 99.942788 158.805252 \nL 97.903696 158.168516 \nL 95.826409 157.335662 \nL 93.732464 156.289989 \nL 91.648267 155.015944 \nL 89.605424 153.500273 \nL 87.640831 151.733415 \nL 85.796501 149.711164 \nL 84.118931 147.436521 \nL 82.658005 144.921603 \nL 81.465287 142.189476 \nL 80.591725 139.275588 \nL 80.08478 136.228566 \nL 79.985176 133.109988 \nL 80.323503 129.992929 \nL 81.117058 126.959059 \nL 82.367354 124.094336 \nL 84.058701 121.483621 \nL 86.158205 119.204744 \nL 88.617285 117.322726 \nL 91.374621 115.885017 \nL 94.36019 114.91837 \nL 97.499879 114.427877 \nL 100.72006 114.398086 \nL 103.951643 114.796042 \nL 107.133204 115.575541 \nL 110.212998 116.681972 \nL 113.149888 118.057046 \nL 115.913332 119.64287 \nL 118.482661 121.385097 \nL 120.845914 123.235035 \nL 122.998441 125.150775 \nL 124.941458 127.097543 \nL 126.680684 129.047456 \nL 128.225109 130.978904 \nL 129.585952 132.875748 \nL 131.80788 136.523168 \nL 133.452046 139.937677 \nL 134.620499 143.104893 \nL 135.403442 146.031714 \nL 135.875626 148.735748 \nL 136.095629 151.238951 \nL 136.106731 153.564046 \nL 135.938478 155.732597 \nL 135.608428 157.764124 \nL 135.123728 159.675728 \nL 134.482376 161.481999 \nL 133.674086 163.194997 \nL 132.680759 164.824156 \nL 131.476596 166.375976 \nL 130.027896 167.853382 \nL 128.292657 169.254567 \nL 126.220119 170.571081 \nL 123.750494 171.784855 \nL 120.815304 172.863738 \nL 117.339045 173.754958 \nL 113.243337 174.375899 \nL 110.939885 174.548049 \nL 108.455493 174.601682 \nL 105.784556 174.512026 \nL 102.9244 174.249629 \nL 99.87647 173.779858 \nL 96.647823 173.062542 \nL 93.252941 172.051865 \nL 89.715868 170.696669 \nL 86.072613 168.941404 \nL 82.373768 166.728001 \nL 78.687034 163.998998 \nL 75.099382 160.70225 \nL 71.718262 156.797483 \nL 68.671142 152.264764 \nL 66.102573 147.114532 \nL 64.167867 141.398264 \nL 63.022873 135.218023 \nL 62.80984 128.732444 \nL 63.640508 122.156072 \nL 65.578685 115.749442 \nL 68.62579 109.798621 \nL 72.71321 104.585612 \nL 77.704383 100.354175 \nL 83.407487 97.27808 \nL 89.596658 95.439397 \nL 96.0373 94.822074 \nL 102.510023 95.321912 \nL 108.82871 96.769408 \nL 114.850413 98.958982 \nL 120.477279 101.677449 \nL 125.652497 104.726666 \nL 130.352899 107.937836 \nL 134.580558 111.177695 \nL 138.354975 114.348409 \nL 141.706655 117.383527 \nL 147.291076 122.902582 \nL 151.646288 127.607268 \nL 162.172575 139.444481 \nL 164.071547 141.070558 \nL 165.941856 142.280164 \nL 167.863528 143.102109 \nL 169.893802 143.551814 \nL 172.069577 143.634388 \nL 174.40822 143.348094 \nL 176.90671 142.688489 \nL 179.539313 141.653617 \nL 182.254172 140.250525 \nL 184.969682 138.503216 \nL 187.571987 136.461479 \nL 189.915651 134.209274 \nL 191.830016 131.870046 \nL 192.569339 130.717033 \nL 193.133606 129.605329 \nL 193.502302 128.559117 \nL 193.657609 127.602767 \nL 193.585433 126.759801 \nL 193.27642 126.051734 \nL 192.726783 125.49689 \nL 191.938937 125.10933 \nL 190.921796 124.897948 \nL 189.690702 124.865901 \nL 188.266956 125.010422 \nL 186.676982 125.323083 \nL 183.122456 126.395254 \nL 179.292453 127.935225 \nL 175.448442 129.773709 \nL 171.811669 131.756396 \nL 168.543246 133.766584 \nL 165.741171 135.730531 \nL 163.449217 137.610177 \nL 161.671305 139.390715 \nL 160.38632 141.068618 \nL 159.560622 142.64296 \nL 159.157312 144.110335 \nL 159.142363 145.462568 \nL 159.488238 146.686099 \nL 160.175604 147.76211 \nL 161.193708 148.666796 \nL 162.539786 149.371494 \nL 164.217696 149.842573 \nL 166.235812 150.04121 \nL 168.604 149.923264 \nL 171.329411 149.439658 \nL 174.410639 148.537869 \nL 177.829808 147.165378 \nL 181.542191 145.276227 \nL 185.463439 142.841965 \nL 189.45541 139.868059 \nL 191.416786 138.195003 \nL 193.313381 136.41566 \nL 195.108163 134.550384 \nL 196.759922 132.625853 \nL 198.224026 130.675371 \nL 199.453666 128.738739 \nL 200.401592 126.861573 \nL 201.022362 125.093926 \nL 201.275012 123.488163 \nL 201.126016 122.096083 \nL 200.552268 120.965471 \nL 199.543764 120.136349 \nL 198.105614 119.63739 \nL 196.258998 119.482992 \nL 194.040848 119.671574 \nL 191.502117 120.185411 \nL 188.704788 120.992184 \nL 185.717919 122.04812 \nL 182.61326 123.302172 \nL 176.325723 126.19173 \nL 170.323354 129.27321 \nL 164.937813 132.273681 \nL 160.340944 135.057022 \nL 156.57519 137.593911 \nL 153.597751 139.914588 \nL 151.320491 142.069198 \nL 149.638862 144.104125 \nL 148.449933 146.052212 \nL 147.662133 147.931567 \nL 147.1995 149.748305 \nL 147.002648 151.500288 \nL 147.027954 153.180415 \nL 147.24599 154.778961 \nL 147.639753 156.28492 \nL 148.203069 157.686531 \nL 148.939298 158.971198 \nL 149.860445 160.124917 \nL 150.986619 161.13135 \nL 152.345826 161.970568 \nL 153.97398 162.617451 \nL 155.914991 163.039715 \nL 158.220699 163.195495 \nL 160.950295 163.030475 \nL 164.168662 162.474649 \nL 167.9427 161.439043 \nL 172.334261 159.813245 \nL 174.776634 158.738585 \nL 177.387627 157.465511 \nL 180.166635 155.975182 \nL 183.108769 154.248733 \nL 186.203531 152.268204 \nL 189.43327 150.017853 \nL 192.771429 147.485922 \nL 196.180623 144.666948 \nL 199.61067 141.564639 \nL 202.996766 138.195311 \nL 206.258057 134.591708 \nL 209.297048 130.806937 \nL 212.000315 126.917966 \nL 214.241149 123.027836 \nL 215.884734 119.265556 \nL 216.796269 115.782409 \nL 216.852137 112.743575 \nL 215.953485 110.314449 \nL 214.040742 108.642346 \nL 211.106562 107.835663 \nL 207.2042 107.944529 \nL 202.448404 108.947836 \nL 197.007212 110.751202 \nL 191.085308 113.197893 \nL 184.901981 116.091072 \nL 172.568331 122.398358 \nL 156.306402 130.865032 \nL 147.708872 135.071865 \nL 138.069778 139.468221 \nL 131.476164 142.475193 \nL 128.252182 144.114914 \nL 125.651628 145.623744 \nL 122.457991 147.76303 \nL 117.766078 151.010835 \nL 115.808465 152.12405 \nL 113.703371 153.07153 \nL 111.409696 153.804497 \nL 108.904407 154.267294 \nL 106.184177 154.396714 \nL 103.269062 154.122213 \nL 101.752391 153.809924 \nL 100.207915 153.368131 \nL 98.647295 152.787511 \nL 97.084781 152.059382 \nL 95.537347 151.17619 \nL 94.024743 150.132081 \nL 92.569453 148.923567 \nL 91.1965 147.550283 \nL 89.933078 146.015794 \nL 88.807959 144.328399 \nL 87.850691 142.50186 \nL 87.090542 140.555992 \nL 86.55524 138.516968 \nL 86.269542 136.417276 \nL 86.253732 134.295215 \nL 86.522165 132.193858 \nL 87.08198 130.159497 \nL 87.932147 128.239619 \nL 89.062986 126.480542 \nL 90.456215 124.924879 \nL 92.085616 123.609187 \nL 93.91823 122.561909 \nL 95.916002 121.801952 \nL 98.037718 121.338001 \nL 100.241022 121.168629 \nL 102.484345 121.283113 \nL 104.72858 121.6629 \nL 106.938384 122.283401 \nL 109.083082 123.115979 \nL 111.137139 124.129878 \nL 113.080284 125.293939 \nL 114.897306 126.578004 \nL 116.57766 127.953969 \nL 118.114917 129.396455 \nL 119.506148 130.883185 \nL 120.751283 132.395097 \nL 121.852509 133.916257 \nL 123.639916 136.9368 \nL 124.911108 139.869934 \nL 125.715689 142.671947 \nL 126.101502 145.320444 \nL 126.109371 147.806329 \nL 125.770299 150.127753 \nL 125.104356 152.285692 \nL 124.120661 154.280618 \nL 122.818044 156.109844 \nL 121.186229 157.765081 \nL 119.20749 159.229925 \nL 116.858957 160.476958 \nL 114.115982 161.464305 \nL 112.589558 161.842575 \nL 110.957073 162.131594 \nL 109.217538 162.320207 \nL 107.371254 162.395562 \nL 105.420249 162.343025 \nL 103.368771 162.146141 \nL 101.223868 161.786662 \nL 98.996051 161.244712 \nL 96.699987 160.499095 \nL 94.355262 159.527817 \nL 91.987111 158.308887 \nL 89.627096 156.821442 \nL 87.313604 155.047237 \nL 85.092083 152.972577 \nL 83.014847 150.590602 \nL 81.140295 147.903914 \nL 79.53139 144.927325 \nL 78.253289 141.690485 \nL 77.370049 138.239946 \nL 76.940551 134.640222 \nL 77.013826 130.973292 \nL 77.624293 127.336152 \nL 78.787473 123.836162 \nL 80.496883 120.584357 \nL 82.722737 117.687297 \nL 85.41286 115.238447 \nL 88.495881 113.310345 \nL 91.886363 111.9488 \nL 95.491122 111.170049 \nL 99.215885 110.961302 \nL 102.971335 111.284279 \nL 106.677882 112.081081 \nL 110.268787 113.281163 \nL 113.691614 114.80832 \nL 116.90822 116.586772 \nL 119.893688 118.545829 \nL 122.634591 120.622929 \nL 125.126973 122.765168 \nL 127.374302 124.929628 \nL 129.385578 127.082853 \nL 131.173693 129.199804 \nL 132.754069 131.262577 \nL 135.35964 135.181884 \nL 137.340714 138.792984 \nL 138.828922 142.09126 \nL 139.940275 145.094136 \nL 141.108456 149.103895 \nL 142.106095 153.675836 \nL 143.661415 161.579698 \nL 144.268891 163.644929 \nL 145.02409 165.46188 \nL 145.991318 167.032389 \nL 146.79149 167.93708 \nL 147.747878 168.719383 \nL 148.893661 169.367355 \nL 150.268453 169.863739 \nL 151.919525 170.18439 \nL 153.903012 170.296121 \nL 156.284942 170.153831 \nL 159.141766 169.696764 \nL 162.559775 168.843856 \nL 166.632364 167.488317 \nL 171.453327 165.492241 \nL 174.170747 164.201441 \nL 177.10335 162.683112 \nL 180.255153 160.910689 \nL 183.625407 158.85644 \nL 187.206814 156.492503 \nL 190.983324 153.792467 \nL 194.927525 150.733672 \nL 198.997627 147.300399 \nL 203.134186 143.488111 \nL 207.256762 139.308774 \nL 211.260925 134.797234 \nL 215.01626 130.018216 \nL 218.366233 125.073168 \nL 221.131092 120.105547 \nL 223.11506 115.302485 \nL 224.118933 110.890235 \nL 223.958648 107.120759 \nL 222.488904 104.24775 \nL 219.629 102.492809 \nL 215.385843 102.006356 \nL 209.867356 102.832122 \nL 203.28022 104.886574 \nL 195.909264 107.962803 \nL 188.081558 111.761519 \nL 180.123852 115.941843 \nL 158.023158 127.826453 \nL 151.755272 130.958556 \nL 146.130454 133.570844 \nL 141.13608 135.68949 \nL 136.734409 137.371094 \nL 132.874099 138.685367 \nL 126.549904 140.489148 \nL 121.721516 141.577219 \nL 115.101548 142.762053 \nL 108.419699 143.755931 \nL 106.340088 143.866275 \nL 104.459588 143.710162 \nL 103.293744 143.4322 \nL 102.204408 143.004456 \nL 101.209682 142.425859 \nL 100.335552 141.704062 \nL 99.612584 140.856534 \nL 99.072335 139.911052 \nL 98.743477 138.905348 \nL 98.64795 137.885609 \nL 98.797462 136.903725 \nL 99.190865 136.013377 \nL 99.812869 135.265408 \nL 100.634348 134.703136 \nL 101.614295 134.358362 \nL 102.703105 134.24878 \nL 103.84662 134.377156 \nL 104.990301 134.732311 \nL 106.082873 135.291441 \nL 107.079083 136.023284 \nL 107.941374 136.891445 \nL 108.640505 137.857369 \nL 109.155363 138.882653 \nL 109.472231 139.930581 \nL 109.583805 140.96691 \nL 109.488196 141.960115 \nL 109.188116 142.881157 \nL 108.690334 143.703104 \nL 108.005506 144.400625 \nL 107.148359 144.949647 \nL 106.138208 145.327203 \nL 104.99973 145.511652 \nL 103.763877 145.483404 \nL 102.46874 145.226201 \nL 101.160084 144.729077 \nL 99.89129 143.988912 \nL 98.722287 143.013455 \nL 97.71717 141.824402 \nL 96.9403 140.459929 \nL 96.450925 138.975818 \nL 96.296798 137.444378 \nL 96.507701 135.950479 \nL 97.090104 134.584626 \nL 98.024286 133.433855 \nL 99.264839 132.572048 \nL 100.744761 132.051591 \nL 102.382434 131.898315 \nL 104.090055 132.110582 \nL 105.7819 132.662433 \nL 107.380972 133.509544 \nL 108.823286 134.596362 \nL 110.059674 135.862872 \nL 111.055469 137.249912 \nL 111.788808 138.702669 \nL 112.248203 140.172362 \nL 112.429995 141.616536 \nL 112.33609 142.998351 \nL 111.972241 144.285345 \nL 111.346993 145.447953 \nL 110.471351 146.458016 \nL 109.359129 147.287499 \nL 108.028004 147.90753 \nL 106.501152 148.287925 \nL 104.809388 148.397437 \nL 102.99364 148.204933 \nL 101.107383 147.681807 \nL 99.218604 146.805871 \nL 97.410502 145.566857 \nL 95.780086 143.973215 \nL 95.064574 143.052984 \nL 94.433689 142.059437 \nL 93.900837 141.001984 \nL 93.478777 139.892272 \nL 93.179171 138.744163 \nL 93.012137 137.573572 \nL 92.985783 136.398223 \nL 93.105774 135.237237 \nL 93.374975 134.110614 \nL 93.793179 133.038622 \nL 94.356955 132.041092 \nL 95.05964 131.136706 \nL 95.891467 130.342295 \nL 96.839868 129.672202 \nL 97.889862 129.137769 \nL 99.024598 128.746982 \nL 100.225912 128.504294 \nL 101.474957 128.410619 \nL 102.752798 128.463529 \nL 104.040965 128.657576 \nL 105.321933 128.984746 \nL 106.579516 129.434974 \nL 107.799133 129.996691 \nL 110.075223 131.403998 \nL 112.070351 133.103335 \nL 113.733018 134.995896 \nL 115.0357 136.994979 \nL 115.968941 139.029037 \nL 116.535375 141.041406 \nL 116.744526 142.988128 \nL 116.608817 144.834866 \nL 116.140865 146.553617 \nL 115.352007 148.119587 \nL 114.251962 149.508383 \nL 112.849492 150.693513 \nL 111.154065 151.644257 \nL 109.178489 152.32397 \nL 106.942575 152.688998 \nL 104.477839 152.688568 \nL 101.833104 152.26629 \nL 100.46474 151.878698 \nL 99.080633 151.36407 \nL 97.694415 150.716081 \nL 96.321809 149.929449 \nL 94.980644 149.000411 \nL 93.690809 147.927247 \nL 92.47407 146.710888 \nL 91.353754 145.355513 \nL 90.354266 143.869162 \nL 89.50044 142.264264 \nL 88.816706 140.558038 \nL 88.326125 138.772692 \nL 88.049285 136.935356 \nL 88.003165 135.077672 \nL 88.200023 133.234999 \nL 88.646418 131.445261 \nL 89.342463 129.747426 \nL 90.281412 128.179757 \nL 91.449637 126.777938 \nL 92.827031 125.573255 \nL 94.387828 124.590993 \nL 96.101766 123.849257 \nL 97.935491 123.35827 \nL 99.854091 123.12026 \nL 101.82259 123.129857 \nL 103.807329 123.375017 \nL 105.777095 123.838233 \nL 107.703986 124.497966 \nL 109.563955 125.330131 \nL 111.337069 126.309465 \nL 113.007518 127.410734 \nL 114.563426 128.609686 \nL 115.996509 129.883768 \nL 117.301648 131.212576 \nL 118.476414 132.578097 \nL 120.435679 135.359455 \nL 121.890858 138.131053 \nL 122.873674 140.828061 \nL 123.42113 143.409942 \nL 123.568672 145.852945 \nL 123.345951 148.143739 \nL 122.774555 150.274374 \nL 121.867196 152.238286 \nL 120.62792 154.027073 \nL 119.053108 155.62766 \nL 117.133227 157.01956 \nL 114.85543 158.172032 \nL 112.207296 159.04099 \nL 110.741864 159.350942 \nL 109.182185 159.565827 \nL 109.182185 159.565827 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p47fc10f5eb\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(results_test_np[:,0], results_test_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(results_test_np[:,0], results_test_np[:,1], results_test_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 19d1b6c8..67385052 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -129,6 +129,64 @@ def fit(self, x, optim, optim_params=None, max_epochs=10, scheduler=None, schedu
                 lr_scheduler.step()
             
             print("Epoch: " + str(epoch) + "\t Loss: " + str(loss))
+            print(self.coeffs)
+
+    def fit_random_sample(self, x, optim, optim_params=None, max_epochs=10, batch_size=64, scheduler=None, scheduler_params=None):
+        """Fits model to the given data.
+
+        Args:
+            x (torch.Tensor): Original time series data
+            max_epochs (int): Number of training epochs
+            batch_size (int): Batch size for torch.utils.data.DataLoader
+        """
+        dataset = TensorDataset(x)
+        loader = DataLoader(dataset, batch_size=batch_size)
+
+        if optim_params is not None:
+            optimizer = optim(self.parameters(), **optim_params)
+        else:
+            optimizer = optim(self.parameters())
+
+        if scheduler is not None:
+            if scheduler_params is not None:
+                lr_scheduler = scheduler(optimizer, **scheduler_params)
+            else:
+                lr_scheduler = scheduler(optimizer)
+
+        for epoch in range(max_epochs):
+            for i, data in enumerate(loader, 0):
+                self.zero_grad()
+
+                n = data[0].shape[0]
+
+                if n<3:
+                    continue
+
+                ri = torch.randint(low=0,high=n-2,size=()).item()
+                single_point = data[0][ri:ri+1,:]
+
+                pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
+
+                init_point = {var: single_point[0,i] for i,var in enumerate(self.var_names)}
+
+                coeffs = self.get_coeffs()
+
+                for var in self.var_names:
+
+                    new_val = init_point[var] + self.ode[var](init_point, self.coeffs) * self.dt
+                    pred[var] = new_val
+                
+                predictions = torch.stack([pred[var] for var in self.outvar], dim=0)
+                loss = self.criterion(predictions, data[0][ri+1,:])
+
+                loss.backward(retain_graph=True)
+                optimizer.step()
+            
+            if scheduler is not None:
+                lr_scheduler.step()
+            
+            print("Epoch: " + str(epoch) + "\t Loss: " + str(loss))
+            print(self.coeffs)
 
 
     def _step(self, batch, batch_idx, num_batches):

From 39937624c7d3a34fcc32f52999146fd12da5737d Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 15:07:07 -0400
Subject: [PATCH 17/73] Tested SEIR and Duffing with random samlpe

---
 ...uffingTest.ipynb => DuffingTest_fit.ipynb} |   0
 .../DuffingTest_fitRandomSample.ipynb         | 390 +++++++++++++++++
 .../{SEIR_Test.ipynb => SEIRTest_fit.ipynb}   |   0
 .../ode/SEIR/SEIRTest_fitRandomSample.ipynb   | 402 ++++++++++++++++++
 .../Lorenz63Train_fitRandomSample.ipynb       |   4 +-
 5 files changed, 794 insertions(+), 2 deletions(-)
 rename examples/ode/DuffingEquation/{DuffingTest.ipynb => DuffingTest_fit.ipynb} (100%)
 create mode 100644 examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
 rename examples/ode/SEIR/{SEIR_Test.ipynb => SEIRTest_fit.ipynb} (100%)
 create mode 100644 examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb

diff --git a/examples/ode/DuffingEquation/DuffingTest.ipynb b/examples/ode/DuffingEquation/DuffingTest_fit.ipynb
similarity index 100%
rename from examples/ode/DuffingEquation/DuffingTest.ipynb
rename to examples/ode/DuffingEquation/DuffingTest_fit.ipynb
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
new file mode 100644
index 00000000..f4e10516
--- /dev/null
+++ b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
@@ -0,0 +1,390 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "import numpy as np\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Duffing equation: Second order ODE system\n",
+    "dt = 0.01\n",
+    "\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x_\"]\n",
+    "\n",
+    "def x_prime_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"g\"]*torch.cos(coeffs[\"w\"]*prev_val[\"t\"]) - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n",
+    "\n",
+    "def t_prime(prev_val, coeffs):\n",
+    "    return dt\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"t\": t_prime}\n",
+    "\n",
+    "# Initial conditions [0,0,0]\n",
+    "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2, \"g\": 0.8, \"w\": 0.5}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
+       "        [3.9973e-05, 7.9920e-03, 1.0000e-04],\n",
+       "        [1.5979e-04, 1.5968e-02, 2.0000e-04],\n",
+       "        ...,\n",
+       "        [7.7501e-01, 1.1140e-01, 9.9701e-02],\n",
+       "        [7.7615e-01, 1.1605e-01, 9.9801e-02],\n",
+       "        [7.7733e-01, 1.2069e-01, 9.9901e-02]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 5
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T14:52:41.657396</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m604dba8835\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m604dba8835\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(41.56554 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.69353\" xlink:href=\"#m604dba8835\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(106.560718 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.688708\" xlink:href=\"#m604dba8835\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(171.555896 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.683886\" xlink:href=\"#m604dba8835\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(236.551074 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.679064\" xlink:href=\"#m604dba8835\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(301.546252 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.674242\" xlink:href=\"#m604dba8835\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(366.54143 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m95ca5bc888\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m95ca5bc888\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m95ca5bc888\" y=\"224.660781\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.46)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m95ca5bc888\" y=\"188.105562\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 191.904781)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m95ca5bc888\" y=\"151.550343\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 155.349562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m95ca5bc888\" y=\"114.995124\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 118.794343)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m95ca5bc888\" y=\"78.439905\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 82.239124)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m95ca5bc888\" y=\"41.884686\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 45.683905)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p98f9022c0d)\" d=\"M 52.698352 261.216 \nL 53.998256 261.122669 \nL 55.298159 260.843683 \nL 56.923038 260.236196 \nL 58.547917 259.344019 \nL 60.172796 258.170207 \nL 61.797677 256.717857 \nL 63.422557 254.990103 \nL 65.372414 252.557748 \nL 67.322267 249.738978 \nL 69.272119 246.539483 \nL 71.546946 242.333332 \nL 73.821773 237.626467 \nL 76.096601 232.428886 \nL 78.696404 225.901549 \nL 81.296206 218.764278 \nL 84.220984 210.029687 \nL 87.145762 200.578717 \nL 90.395516 189.282979 \nL 93.970244 175.964801 \nL 97.869948 160.491734 \nL 102.419603 141.433395 \nL 108.91911 113.090869 \nL 115.743592 83.524843 \nL 119.318321 68.917847 \nL 122.243099 57.795983 \nL 124.842902 48.744838 \nL 127.117729 41.606908 \nL 129.067581 36.154735 \nL 131.017433 31.38317 \nL 132.64231 27.966942 \nL 134.267186 25.089661 \nL 135.567088 23.191437 \nL 136.866989 21.662278 \nL 138.16689 20.509207 \nL 139.141816 19.894089 \nL 140.116742 19.494172 \nL 141.091668 19.309701 \nL 142.066594 19.340065 \nL 143.04152 19.583871 \nL 144.016446 20.038922 \nL 144.991372 20.702254 \nL 146.291274 21.904114 \nL 147.591175 23.45874 \nL 148.891077 25.353181 \nL 150.515953 28.176252 \nL 152.14083 31.474124 \nL 154.090682 36.007009 \nL 156.04057 41.103294 \nL 158.31544 47.665082 \nL 160.915291 55.83262 \nL 164.165105 66.787584 \nL 169.039826 84.099453 \nL 176.839379 111.825282 \nL 180.739156 124.868318 \nL 183.98897 135.035406 \nL 186.913802 143.532641 \nL 189.838635 151.341033 \nL 192.438486 157.661908 \nL 195.038337 163.371064 \nL 197.313207 167.849085 \nL 199.588077 171.834065 \nL 201.537965 174.85238 \nL 203.487853 177.50109 \nL 205.437742 179.778862 \nL 207.38763 181.6854 \nL 209.012537 182.991017 \nL 210.637444 184.040087 \nL 212.262351 184.833785 \nL 213.887258 185.373645 \nL 215.512165 185.661508 \nL 217.137072 185.699516 \nL 218.761979 185.49011 \nL 220.386886 185.036026 \nL 222.011793 184.340273 \nL 223.6367 183.406134 \nL 225.261607 182.237201 \nL 227.211495 180.530038 \nL 229.161383 178.497692 \nL 231.111272 176.148174 \nL 233.386141 173.017979 \nL 235.661011 169.483501 \nL 237.935881 165.561874 \nL 240.535732 160.630502 \nL 243.460565 154.548098 \nL 246.385397 147.949828 \nL 249.635211 140.086101 \nL 253.534988 130.039879 \nL 258.409709 116.826535 \nL 270.109039 84.843995 \nL 273.683834 75.87882 \nL 276.608666 69.12775 \nL 279.208518 63.682393 \nL 281.483387 59.418276 \nL 283.433276 56.177978 \nL 285.383164 53.352484 \nL 287.008071 51.333813 \nL 288.632978 49.634301 \nL 290.257885 48.264356 \nL 291.882792 47.231785 \nL 293.182717 46.652173 \nL 294.482643 46.293114 \nL 295.782569 46.154765 \nL 297.082494 46.236115 \nL 298.38242 46.534968 \nL 299.682345 47.048011 \nL 300.982271 47.770835 \nL 302.607178 48.960894 \nL 304.232085 50.457231 \nL 305.856992 52.244751 \nL 307.80688 54.749988 \nL 309.756768 57.617177 \nL 312.031638 61.372173 \nL 314.631489 66.130352 \nL 317.556322 71.966632 \nL 321.131117 79.604881 \nL 327.305763 93.443088 \nL 333.805391 107.841401 \nL 337.705168 115.951435 \nL 340.954982 122.238093 \nL 343.879814 127.452465 \nL 346.804647 132.193073 \nL 349.404498 135.97548 \nL 351.679368 138.932682 \nL 353.954238 141.54796 \nL 356.229107 143.811718 \nL 358.178996 145.46685 \nL 360.128884 146.855403 \nL 362.078772 147.975425 \nL 364.028661 148.826105 \nL 365.978549 149.407616 \nL 367.928437 149.721137 \nL 369.878326 149.768767 \nL 371.828214 149.553522 \nL 373.778102 149.079297 \nL 375.727991 148.350852 \nL 377.352898 147.553641 \nL 377.352898 147.553641 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p98f9022c0d\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,2], result_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0., \"g\": 0., \"w\": 0.}\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T14:52:42.233581</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m1d8d8a31dc\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m1d8d8a31dc\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(49.945227 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073218\" xlink:href=\"#m1d8d8a31dc\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(114.940405 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068396\" xlink:href=\"#m1d8d8a31dc\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(179.935583 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063574\" xlink:href=\"#m1d8d8a31dc\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(244.930761 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058752\" xlink:href=\"#m1d8d8a31dc\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(309.925939 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.05393\" xlink:href=\"#m1d8d8a31dc\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(374.921117 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m77059b0f22\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m77059b0f22\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m77059b0f22\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m77059b0f22\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m77059b0f22\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m77059b0f22\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p66100a3a4e)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p66100a3a4e\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(1.6585e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1545, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.2955, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.0153, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.0601, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(6.2241e-07, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0102, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.3692, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.0477, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.5677, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(2.6668e-07, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0643, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5249, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1343, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7102, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(1.2800e-07, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0268, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5256, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2123, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8063, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(2.8828e-09, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0446, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5229, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2207, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7748, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(6.4483e-10, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0483, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5157, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1967, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7670, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(3.4342e-10, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0514, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5113, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2026, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7670, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(4.1703e-10, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0570, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5129, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2086, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7728, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(6.9033e-10, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0620, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5134, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2020, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7777, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(6.7190e-10, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0651, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5112, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2028, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7791, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.1},\n",
+    "    max_epochs=10\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'a': Parameter containing:\n",
+       " tensor(0.0651, requires_grad=True),\n",
+       " 'b': Parameter containing:\n",
+       " tensor(0.5112, requires_grad=True),\n",
+       " 'd': Parameter containing:\n",
+       " tensor(0.2028, requires_grad=True),\n",
+       " 'g': Parameter containing:\n",
+       " tensor(0.7791, requires_grad=True),\n",
+       " 'w': Parameter containing:\n",
+       " tensor(0., requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 10
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs\n",
+    "\n",
+    "# The coefficients differ by at most 0.1 from the original with the exception of \"w\". THe graphs look similar.\n",
+    "# TODO: Investigate why \"w\" isn't learning"
+   ]
+  },
+  {
+   "source": [
+    "# Re-calculate using 4th Order Runge-Kutta"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
+       "        [0.0000e+00, 7.7911e-03, 1.0000e-04],\n",
+       "        [7.7911e-05, 1.5566e-02, 2.0000e-04],\n",
+       "        ...,\n",
+       "        [7.4635e-01, 1.0293e-01, 9.9701e-02],\n",
+       "        [7.4738e-01, 1.0790e-01, 9.9801e-02],\n",
+       "        [7.4846e-01, 1.1286e-01, 9.9901e-02]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 11
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T14:57:57.414636</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m151ec6510d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m151ec6510d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(41.56554 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.69353\" xlink:href=\"#m151ec6510d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(106.560718 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.688708\" xlink:href=\"#m151ec6510d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(171.555896 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.683886\" xlink:href=\"#m151ec6510d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(236.551074 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.679064\" xlink:href=\"#m151ec6510d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(301.546252 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.674242\" xlink:href=\"#m151ec6510d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(366.54143 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mebf1341be0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mebf1341be0\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mebf1341be0\" y=\"224.761049\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.560267)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mebf1341be0\" y=\"188.306097\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 192.105316)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mebf1341be0\" y=\"151.851146\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 155.650365)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mebf1341be0\" y=\"115.396194\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 119.195413)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mebf1341be0\" y=\"78.941243\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 82.740462)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mebf1341be0\" y=\"42.486292\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 46.28551)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p045ded5504)\" d=\"M 52.698352 261.216 \nL 53.998256 261.147926 \nL 55.298159 260.899184 \nL 56.923038 260.33645 \nL 58.547917 259.496649 \nL 60.172796 258.382707 \nL 61.797677 256.997565 \nL 63.422557 255.344181 \nL 65.372414 253.010232 \nL 67.322267 250.299483 \nL 69.272119 247.217174 \nL 71.546946 243.158635 \nL 73.821773 238.610249 \nL 76.096601 233.580976 \nL 78.696404 227.256502 \nL 81.296206 220.331398 \nL 84.220984 211.843681 \nL 87.145762 202.644549 \nL 90.395516 191.628894 \nL 93.645269 179.830796 \nL 97.219998 166.033336 \nL 101.444677 148.783415 \nL 106.644283 126.533574 \nL 118.018419 77.4884 \nL 121.593148 63.297727 \nL 124.517926 52.633349 \nL 126.792754 45.096204 \nL 129.067581 38.345052 \nL 131.017433 33.264553 \nL 132.64231 29.575569 \nL 134.267186 26.415378 \nL 135.567088 24.286194 \nL 136.866989 22.524194 \nL 138.16689 21.138623 \nL 139.466792 20.136315 \nL 140.441718 19.638759 \nL 141.416644 19.360109 \nL 142.39157 19.300381 \nL 143.366496 19.458758 \nL 144.341422 19.833606 \nL 145.316348 20.422423 \nL 146.291274 21.221923 \nL 147.591175 22.608571 \nL 148.891077 24.350825 \nL 150.190978 26.434864 \nL 151.815855 29.496284 \nL 153.440731 33.032263 \nL 155.390608 37.847861 \nL 157.665477 44.16494 \nL 160.265328 52.159869 \nL 163.190161 61.92509 \nL 167.089938 75.790039 \nL 179.764212 121.523841 \nL 183.339007 133.283153 \nL 186.588821 143.197008 \nL 189.513654 151.399108 \nL 192.113505 158.069672 \nL 194.713356 164.125926 \nL 196.988226 168.90429 \nL 199.263095 173.18569 \nL 201.537965 176.963119 \nL 203.487853 179.796456 \nL 205.437742 182.254996 \nL 207.38763 184.33841 \nL 209.012537 185.788498 \nL 210.637444 186.979308 \nL 212.262351 187.912023 \nL 213.887258 188.588116 \nL 215.512165 189.009364 \nL 217.137072 189.177811 \nL 218.761979 189.095776 \nL 220.386886 188.765823 \nL 222.011793 188.19076 \nL 223.6367 187.373669 \nL 225.261607 186.31783 \nL 226.886514 185.026832 \nL 228.836402 183.172658 \nL 230.78629 180.992603 \nL 232.736179 178.494524 \nL 235.011048 175.189645 \nL 237.285918 171.478628 \nL 239.885769 166.761687 \nL 242.48562 161.564217 \nL 245.410453 155.182464 \nL 248.660267 147.489132 \nL 252.235062 138.39044 \nL 256.45982 126.953028 \nL 262.309485 110.359414 \nL 270.43402 87.336556 \nL 274.333797 77.002596 \nL 277.258629 69.833137 \nL 279.85848 64.005426 \nL 282.13335 59.405308 \nL 284.40822 55.333619 \nL 286.358108 52.30533 \nL 287.983015 50.13029 \nL 289.607922 48.288015 \nL 291.232829 46.790793 \nL 292.532755 45.84797 \nL 293.83268 45.13575 \nL 295.132606 44.656412 \nL 296.432531 44.411015 \nL 297.732457 44.399369 \nL 299.032382 44.619942 \nL 300.332308 45.070008 \nL 301.632234 45.745479 \nL 302.932159 46.641212 \nL 304.557066 48.060783 \nL 306.181973 49.799751 \nL 307.80688 51.841046 \nL 309.756768 54.66251 \nL 311.706657 57.855138 \nL 313.981526 61.996395 \nL 316.581378 67.197498 \nL 319.831191 74.251967 \nL 324.05595 84.034189 \nL 336.405242 113.022466 \nL 339.980038 120.682979 \nL 343.229852 127.123017 \nL 346.154684 132.421031 \nL 348.754535 136.693165 \nL 351.354386 140.525255 \nL 353.629256 143.500256 \nL 355.904126 146.110576 \nL 358.178996 148.347717 \nL 360.128884 149.963657 \nL 362.078772 151.298547 \nL 364.028661 152.3511 \nL 365.978549 153.121049 \nL 367.603456 153.547308 \nL 369.228363 153.778738 \nL 370.85327 153.816711 \nL 372.478177 153.663001 \nL 374.103084 153.319798 \nL 376.052972 152.661536 \nL 377.352898 152.075761 \nL 377.352898 152.075761 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p045ded5504\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/examples/ode/SEIR/SEIR_Test.ipynb b/examples/ode/SEIR/SEIRTest_fit.ipynb
similarity index 100%
rename from examples/ode/SEIR/SEIR_Test.ipynb
rename to examples/ode/SEIR/SEIRTest_fit.ipynb
diff --git a/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb b/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
new file mode 100644
index 00000000..344b0237
--- /dev/null
+++ b/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
@@ -0,0 +1,402 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Rossler Attractor equations\n",
+    "dt = 0.01\n",
+    "\n",
+    "def s_prime(prev_val, coeffs):\n",
+    "    return - coeffs[\"g1\"]*prev_val[\"s\"]*prev_val[\"i\"]\n",
+    "\n",
+    "def e_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"g1\"]*prev_val[\"s\"]*prev_val[\"i\"] - coeffs[\"g2\"]*prev_val[\"e\"]\n",
+    "\n",
+    "def i_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"g2\"]*prev_val[\"e\"] - coeffs[\"a\"]*prev_val[\"i\"]\n",
+    "\n",
+    "def r_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"a\"]*prev_val[\"i\"]\n",
+    "\n",
+    "ode = {\"s\": s_prime, \"e\": e_prime, \"i\": i_prime, \"r\": r_prime}\n",
+    "\n",
+    "# Initial conditions [0,0,0]\n",
+    "ode_init = {\"s\": 0.1, \"e\": 0.9, \"i\": 0, \"r\": 0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"a\": 0.1, \"g1\": 0.3, \"g2\": 0.2}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=torch.optim.SGD,\n",
+    "    optimizer_args={\"lr\": 0.01}\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
+       "        [1.0000e-01, 8.9820e-01, 1.7973e-03, 8.9910e-07],\n",
+       "        [9.9999e-02, 8.9641e-01, 3.5892e-03, 3.5928e-06],\n",
+       "        ...,\n",
+       "        [3.3031e-02, 1.5079e-01, 4.4694e-01, 3.6924e-01],\n",
+       "        [3.2987e-02, 1.5053e-01, 4.4679e-01, 3.6969e-01],\n",
+       "        [3.2943e-02, 1.5028e-01, 4.4664e-01, 3.7014e-01]],\n",
+       "       grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 5
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:00:35.035852</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m1bb315be42\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m1bb315be42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m1bb315be42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m1bb315be42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m1bb315be42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m1bb315be42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m1bb315be42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m3cd71932e2\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3cd71932e2\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3cd71932e2\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3cd71932e2\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3cd71932e2\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3cd71932e2\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p97ef88aebc)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p97ef88aebc)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p97ef88aebc)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p97ef88aebc)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p97ef88aebc\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plots\n",
+    "plt.plot(result_np[:,0])\n",
+    "plt.plot(result_np[:,1])\n",
+    "plt.plot(result_np[:,2])\n",
+    "plt.plot(result_np[:,3])\n",
+    "\n",
+    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"a\": 0., \"g1\": 0., \"g2\": 0.}\n",
+    "\n",
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:00:35.764273</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m6de2e9c61e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m6de2e9c61e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m6de2e9c61e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m6de2e9c61e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m6de2e9c61e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m6de2e9c61e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m6de2e9c61e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m77500873dd\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m77500873dd\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m77500873dd\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m77500873dd\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m77500873dd\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m77500873dd\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p18f9cb588a)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p18f9cb588a)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p18f9cb588a)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p18f9cb588a)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p18f9cb588a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test = ode_solver(1000)\n",
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plots\n",
+    "plt.plot(results_test_np[:,0])\n",
+    "plt.plot(results_test_np[:,1])\n",
+    "plt.plot(results_test_np[:,2])\n",
+    "plt.plot(results_test_np[:,3])\n",
+    "\n",
+    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(4.8288e-08, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0269, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1074, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.0953, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(2.0655e-09, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0900, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1667, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1534, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(2.1113e-09, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0938, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1603, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1875, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(1.7395e-09, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0977, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1045, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1947, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(1.0675e-09, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0987, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0378, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1925, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(7.6691e-10, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0967, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0213, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1913, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(5.0638e-10, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0977, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0705, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1928, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(3.2485e-10, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0981, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1129, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1942, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(2.1024e-10, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0986, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1491, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1955, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(1.3972e-10, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0990, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1793, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1965, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver.fit_random_sample(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.01},\n",
+    "    max_epochs=10\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'a': 0.09896983206272125,\n",
+       " 'g1': 0.17932915687561035,\n",
+       " 'g2': 0.19646891951560974}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 10
+    }
+   ],
+   "source": [
+    "ode_solver.get_coeffs()\n",
+    "\n",
+    "# \"a\" and \"g2\" match. \"g1\" is off, but the difference it makes on the trajectories is not noticeable"
+   ]
+  },
+  {
+   "source": [
+    "# Re-calculate using 4th Order Runge-Kutta"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
+       "        [1.0000e-01, 8.9823e-01, 1.7682e-03, 0.0000e+00],\n",
+       "        [1.0000e-01, 8.9647e-01, 3.5312e-03, 1.7500e-06],\n",
+       "        ...,\n",
+       "        [1.6836e-02, 4.9285e-06, 1.6826e-04, 9.8299e-01],\n",
+       "        [1.6836e-02, 4.9239e-06, 1.6810e-04, 9.8299e-01],\n",
+       "        [1.6836e-02, 4.9193e-06, 1.6795e-04, 9.8299e-01]],\n",
+       "       grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 11
+    }
+   ],
+   "source": [
+    "ode_solver(10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
+       "        [1.0000e-01, 8.9823e-01, 1.7682e-03, 0.0000e+00],\n",
+       "        [1.0000e-01, 8.9647e-01, 3.5312e-03, 1.7500e-06],\n",
+       "        ...,\n",
+       "        [5.2090e-02, 1.4850e-01, 4.3960e-01, 3.5981e-01],\n",
+       "        [5.2049e-02, 1.4825e-01, 4.3946e-01, 3.6024e-01],\n",
+       "        [5.2008e-02, 1.4800e-01, 4.3932e-01, 3.6068e-01]],\n",
+       "       grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 12
+    }
+   ],
+   "source": [
+    "results_test = ode_solver(1000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:06:29.192279</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m32736fa630\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m32736fa630\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m32736fa630\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m32736fa630\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m32736fa630\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m32736fa630\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m32736fa630\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mfc5b81508a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfc5b81508a\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfc5b81508a\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfc5b81508a\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfc5b81508a\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfc5b81508a\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p05b2379c96)\" d=\"M 46.335852 234.335999 \nL 63.234788 234.443401 \nL 81.75862 234.784315 \nL 102.88229 235.400851 \nL 127.905713 236.362405 \nL 160.728645 237.861975 \nL 307.61939 244.848449 \nL 350.516688 246.517376 \nL 370.990398 247.236255 \nL 370.990398 247.236255 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p05b2379c96)\" d=\"M 46.335852 19.296 \nL 52.835443 28.610873 \nL 59.335033 37.534928 \nL 65.834624 46.085244 \nL 72.334214 54.278227 \nL 78.833805 62.129612 \nL 85.658375 70.022508 \nL 92.482945 77.572219 \nL 99.307515 84.794831 \nL 106.132085 91.705563 \nL 113.281634 98.626838 \nL 120.431184 105.237868 \nL 127.580734 111.55381 \nL 135.055263 117.85703 \nL 142.529792 123.869216 \nL 150.004321 129.605163 \nL 157.803829 135.311118 \nL 165.603338 140.746609 \nL 173.727826 146.136319 \nL 181.852314 151.263096 \nL 190.301782 156.33137 \nL 198.751249 161.145755 \nL 207.525697 165.891664 \nL 216.625123 170.556077 \nL 225.72455 174.973813 \nL 235.148956 179.304678 \nL 244.898342 183.538709 \nL 254.972707 187.667076 \nL 265.372052 191.682113 \nL 276.096376 195.5773 \nL 287.14568 199.34714 \nL 298.519964 202.987181 \nL 310.219227 206.493969 \nL 322.243469 209.864925 \nL 334.592691 213.098362 \nL 347.591872 216.269883 \nL 360.916032 219.29205 \nL 370.990398 221.434167 \nL 370.990398 221.434167 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p05b2379c96)\" d=\"M 46.335852 261.216 \nL 51.860504 253.324626 \nL 57.385156 245.823704 \nL 62.909808 238.697466 \nL 68.43446 231.930749 \nL 73.959112 225.508978 \nL 79.483764 219.418141 \nL 85.008416 213.644775 \nL 90.533068 208.175954 \nL 96.382699 202.70356 \nL 102.232331 197.544476 \nL 108.081962 192.685121 \nL 113.931593 188.11248 \nL 119.781225 183.814106 \nL 125.955836 179.561242 \nL 132.130447 175.587173 \nL 138.305058 171.879032 \nL 144.479669 168.424507 \nL 150.979259 165.049225 \nL 157.47885 161.928817 \nL 163.97844 159.05081 \nL 170.80301 156.27672 \nL 177.62758 153.743556 \nL 184.77713 151.334529 \nL 191.926679 149.162519 \nL 199.401209 147.1311 \nL 206.875738 145.330426 \nL 214.675246 143.683048 \nL 222.799734 142.203289 \nL 230.924222 140.949493 \nL 239.37369 139.869748 \nL 248.148137 138.974214 \nL 257.247564 138.271437 \nL 266.67197 137.768282 \nL 276.421356 137.469958 \nL 286.495721 137.380044 \nL 297.220046 137.507544 \nL 308.594329 137.871502 \nL 320.293592 138.467759 \nL 332.967793 139.341175 \nL 346.291954 140.48584 \nL 360.591053 141.940581 \nL 370.990398 143.127951 \nL 370.990398 143.127951 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p05b2379c96)\" d=\"M 46.335852 261.216 \nL 53.485402 261.109453 \nL 60.959931 260.769532 \nL 68.759439 260.182436 \nL 76.558948 259.374553 \nL 84.683436 258.315303 \nL 93.457883 256.94096 \nL 102.55731 255.283814 \nL 111.981716 253.340451 \nL 122.056082 251.031635 \nL 132.780406 248.337853 \nL 144.154689 245.244512 \nL 156.178932 241.742269 \nL 169.178113 237.724128 \nL 183.477212 233.068678 \nL 199.401209 227.645998 \nL 217.600062 221.208101 \nL 239.37369 213.262573 \nL 269.271806 202.096605 \nL 344.017097 174.08967 \nL 370.990398 164.26565 \nL 370.990398 164.26565 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p05b2379c96\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plots\n",
+    "plt.plot(results_test_np[:,0])\n",
+    "plt.plot(results_test_np[:,1])\n",
+    "plt.plot(results_test_np[:,2])\n",
+    "plt.plot(results_test_np[:,3])\n",
+    "\n",
+    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
+    "\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
index e0eef3f7..e5ed371f 100644
--- a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
@@ -247,8 +247,8 @@
     "    torch.optim.Adam,\n",
     "    {\"lr\": 0.5},\n",
     "    max_epochs=10,\n",
-    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    scheduler_params={\"milestones\": [20,50],\"gamma\": 0.5}\n",
+    "    # scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    # scheduler_params={\"milestones\": [20,50],\"gamma\": 0.5}\n",
     ")"
    ]
   },

From ab7c82fd824b32c33e4a6f1450519879084762e2 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 15:20:40 -0400
Subject: [PATCH 18/73] Update SEIRTest_fitRandomSample.ipynb

---
 .../ode/SEIR/SEIRTest_fitRandomSample.ipynb   | 182 +++++++++++-------
 1 file changed, 115 insertions(+), 67 deletions(-)

diff --git a/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb b/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
index 344b0237..f56432f6 100644
--- a/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
+++ b/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
@@ -144,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -162,14 +162,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:00:35.764273</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m6de2e9c61e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m6de2e9c61e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m6de2e9c61e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m6de2e9c61e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m6de2e9c61e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m6de2e9c61e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m6de2e9c61e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m77500873dd\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m77500873dd\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m77500873dd\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m77500873dd\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m77500873dd\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m77500873dd\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p18f9cb588a)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p18f9cb588a)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p18f9cb588a)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p18f9cb588a)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p18f9cb588a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:07:25.248926</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mba37cf1557\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#mba37cf1557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#mba37cf1557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#mba37cf1557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#mba37cf1557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#mba37cf1557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#mba37cf1557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m1cf0a3e207\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1cf0a3e207\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1cf0a3e207\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1cf0a3e207\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1cf0a3e207\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1cf0a3e207\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pf2245aed3a)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pf2245aed3a)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pf2245aed3a)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pf2245aed3a)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pf2245aed3a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -192,63 +192,113 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "output_type": "stream",
      "name": "stdout",
      "text": [
-      "Epoch: 0\t Loss: tensor(4.8288e-08, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 0\t Loss: tensor(4.6695e-08, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0269, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1074, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.0953, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(2.0655e-09, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0282, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1135, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.0955, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(2.0676e-09, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0900, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1667, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1534, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(2.1113e-09, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0911, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1717, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1552, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(2.0620e-09, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0938, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1603, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1875, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(1.7395e-09, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0951, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1594, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1907, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(1.6878e-09, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0977, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1045, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1947, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(1.0675e-09, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0984, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0977, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1960, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(1.1100e-09, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0987, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0378, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1925, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(7.6691e-10, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0988, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0276, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1926, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(6.7458e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0967, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0213, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1913, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(5.0638e-10, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0968, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0326, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1915, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(4.3536e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0977, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0705, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1928, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(3.2485e-10, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0976, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0814, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1927, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(3.0973e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0981, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1129, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1942, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(2.1024e-10, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0983, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1227, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1947, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(1.9906e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0986, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1491, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1955, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(1.3972e-10, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0988, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1578, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1958, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(1.1289e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0990, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1793, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1965, requires_grad=True)}\n"
+      "tensor(0.1876, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1966, requires_grad=True)}\n",
+      "Epoch: 10\t Loss: tensor(7.3364e-11, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0992, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2122, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1971, requires_grad=True)}\n",
+      "Epoch: 11\t Loss: tensor(4.2479e-11, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0994, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2319, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1977, requires_grad=True)}\n",
+      "Epoch: 12\t Loss: tensor(2.5407e-11, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2475, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1983, requires_grad=True)}\n",
+      "Epoch: 13\t Loss: tensor(1.5420e-11, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2600, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1987, requires_grad=True)}\n",
+      "Epoch: 14\t Loss: tensor(8.4156e-12, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2699, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1989, requires_grad=True)}\n",
+      "Epoch: 15\t Loss: tensor(4.9005e-12, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2774, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1992, requires_grad=True)}\n",
+      "Epoch: 16\t Loss: tensor(2.4019e-12, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2833, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 17\t Loss: tensor(1.3333e-12, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2877, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1994, requires_grad=True)}\n",
+      "Epoch: 18\t Loss: tensor(7.3605e-13, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2909, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1996, requires_grad=True)}\n",
+      "Epoch: 19\t Loss: tensor(3.6061e-13, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2933, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1996, requires_grad=True)}\n"
      ]
     }
    ],
@@ -256,32 +306,30 @@
     "ode_solver.fit_random_sample(\n",
     "    result,torch.optim.Adam,\n",
     "    {\"lr\": 0.01},\n",
-    "    max_epochs=10\n",
+    "    max_epochs=20\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "output_type": "execute_result",
      "data": {
       "text/plain": [
-       "{'a': 0.09896983206272125,\n",
-       " 'g1': 0.17932915687561035,\n",
-       " 'g2': 0.19646891951560974}"
+       "{'a': 0.0999365746974945, 'g1': 0.2932976186275482, 'g2': 0.19956441223621368}"
       ]
      },
      "metadata": {},
-     "execution_count": 10
+     "execution_count": 17
     }
    ],
    "source": [
     "ode_solver.get_coeffs()\n",
     "\n",
-    "# \"a\" and \"g2\" match. \"g1\" is off, but the difference it makes on the trajectories is not noticeable"
+    "# Coefficients differ by at most 0.01"
    ]
   },
   {
@@ -293,7 +341,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -301,17 +349,17 @@
      "data": {
       "text/plain": [
        "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9823e-01, 1.7682e-03, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9647e-01, 3.5312e-03, 1.7500e-06],\n",
+       "        [1.0000e-01, 8.9820e-01, 1.7961e-03, 0.0000e+00],\n",
+       "        [9.9999e-02, 8.9641e-01, 3.5868e-03, 1.7949e-06],\n",
        "        ...,\n",
-       "        [1.6836e-02, 4.9285e-06, 1.6826e-04, 9.8299e-01],\n",
-       "        [1.6836e-02, 4.9239e-06, 1.6810e-04, 9.8299e-01],\n",
-       "        [1.6836e-02, 4.9193e-06, 1.6795e-04, 9.8299e-01]],\n",
+       "        [5.3935e-03, 1.9782e-06, 1.2804e-04, 9.9447e-01],\n",
+       "        [5.3935e-03, 1.9763e-06, 1.2792e-04, 9.9447e-01],\n",
+       "        [5.3935e-03, 1.9743e-06, 1.2779e-04, 9.9447e-01]],\n",
        "       grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
-     "execution_count": 11
+     "execution_count": 18
     }
    ],
    "source": [
@@ -320,7 +368,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -328,17 +376,17 @@
      "data": {
       "text/plain": [
        "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9823e-01, 1.7682e-03, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9647e-01, 3.5312e-03, 1.7500e-06],\n",
+       "        [1.0000e-01, 8.9820e-01, 1.7961e-03, 0.0000e+00],\n",
+       "        [9.9999e-02, 8.9641e-01, 3.5868e-03, 1.7949e-06],\n",
        "        ...,\n",
-       "        [5.2090e-02, 1.4850e-01, 4.3960e-01, 3.5981e-01],\n",
-       "        [5.2049e-02, 1.4825e-01, 4.3946e-01, 3.6024e-01],\n",
-       "        [5.2008e-02, 1.4800e-01, 4.3932e-01, 3.6068e-01]],\n",
+       "        [3.3881e-02, 1.5089e-01, 4.4667e-01, 3.6856e-01],\n",
+       "        [3.3837e-02, 1.5063e-01, 4.4653e-01, 3.6900e-01],\n",
+       "        [3.3792e-02, 1.5037e-01, 4.4638e-01, 3.6945e-01]],\n",
        "       grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
-     "execution_count": 12
+     "execution_count": 19
     }
    ],
    "source": [
@@ -348,15 +396,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:06:29.192279</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m32736fa630\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m32736fa630\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m32736fa630\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m32736fa630\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m32736fa630\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m32736fa630\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m32736fa630\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mfc5b81508a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfc5b81508a\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfc5b81508a\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfc5b81508a\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfc5b81508a\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfc5b81508a\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p05b2379c96)\" d=\"M 46.335852 234.335999 \nL 63.234788 234.443401 \nL 81.75862 234.784315 \nL 102.88229 235.400851 \nL 127.905713 236.362405 \nL 160.728645 237.861975 \nL 307.61939 244.848449 \nL 350.516688 246.517376 \nL 370.990398 247.236255 \nL 370.990398 247.236255 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p05b2379c96)\" d=\"M 46.335852 19.296 \nL 52.835443 28.610873 \nL 59.335033 37.534928 \nL 65.834624 46.085244 \nL 72.334214 54.278227 \nL 78.833805 62.129612 \nL 85.658375 70.022508 \nL 92.482945 77.572219 \nL 99.307515 84.794831 \nL 106.132085 91.705563 \nL 113.281634 98.626838 \nL 120.431184 105.237868 \nL 127.580734 111.55381 \nL 135.055263 117.85703 \nL 142.529792 123.869216 \nL 150.004321 129.605163 \nL 157.803829 135.311118 \nL 165.603338 140.746609 \nL 173.727826 146.136319 \nL 181.852314 151.263096 \nL 190.301782 156.33137 \nL 198.751249 161.145755 \nL 207.525697 165.891664 \nL 216.625123 170.556077 \nL 225.72455 174.973813 \nL 235.148956 179.304678 \nL 244.898342 183.538709 \nL 254.972707 187.667076 \nL 265.372052 191.682113 \nL 276.096376 195.5773 \nL 287.14568 199.34714 \nL 298.519964 202.987181 \nL 310.219227 206.493969 \nL 322.243469 209.864925 \nL 334.592691 213.098362 \nL 347.591872 216.269883 \nL 360.916032 219.29205 \nL 370.990398 221.434167 \nL 370.990398 221.434167 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p05b2379c96)\" d=\"M 46.335852 261.216 \nL 51.860504 253.324626 \nL 57.385156 245.823704 \nL 62.909808 238.697466 \nL 68.43446 231.930749 \nL 73.959112 225.508978 \nL 79.483764 219.418141 \nL 85.008416 213.644775 \nL 90.533068 208.175954 \nL 96.382699 202.70356 \nL 102.232331 197.544476 \nL 108.081962 192.685121 \nL 113.931593 188.11248 \nL 119.781225 183.814106 \nL 125.955836 179.561242 \nL 132.130447 175.587173 \nL 138.305058 171.879032 \nL 144.479669 168.424507 \nL 150.979259 165.049225 \nL 157.47885 161.928817 \nL 163.97844 159.05081 \nL 170.80301 156.27672 \nL 177.62758 153.743556 \nL 184.77713 151.334529 \nL 191.926679 149.162519 \nL 199.401209 147.1311 \nL 206.875738 145.330426 \nL 214.675246 143.683048 \nL 222.799734 142.203289 \nL 230.924222 140.949493 \nL 239.37369 139.869748 \nL 248.148137 138.974214 \nL 257.247564 138.271437 \nL 266.67197 137.768282 \nL 276.421356 137.469958 \nL 286.495721 137.380044 \nL 297.220046 137.507544 \nL 308.594329 137.871502 \nL 320.293592 138.467759 \nL 332.967793 139.341175 \nL 346.291954 140.48584 \nL 360.591053 141.940581 \nL 370.990398 143.127951 \nL 370.990398 143.127951 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p05b2379c96)\" d=\"M 46.335852 261.216 \nL 53.485402 261.109453 \nL 60.959931 260.769532 \nL 68.759439 260.182436 \nL 76.558948 259.374553 \nL 84.683436 258.315303 \nL 93.457883 256.94096 \nL 102.55731 255.283814 \nL 111.981716 253.340451 \nL 122.056082 251.031635 \nL 132.780406 248.337853 \nL 144.154689 245.244512 \nL 156.178932 241.742269 \nL 169.178113 237.724128 \nL 183.477212 233.068678 \nL 199.401209 227.645998 \nL 217.600062 221.208101 \nL 239.37369 213.262573 \nL 269.271806 202.096605 \nL 344.017097 174.08967 \nL 370.990398 164.26565 \nL 370.990398 164.26565 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p05b2379c96\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:19:13.269041</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m8b99000a8a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m8b99000a8a\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m8b99000a8a\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m8b99000a8a\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m8b99000a8a\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m8b99000a8a\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m8b99000a8a\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m3aa0ff9dee\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3aa0ff9dee\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3aa0ff9dee\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3aa0ff9dee\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3aa0ff9dee\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3aa0ff9dee\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p248ed4550c)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.442151 \nL 73.634132 234.787423 \nL 89.23315 235.392434 \nL 107.107023 236.315956 \nL 128.880652 237.6767 \nL 159.753706 239.85346 \nL 231.249202 244.955286 \nL 264.072134 247.030666 \nL 295.270168 248.780128 \nL 326.793182 250.323285 \nL 359.616114 251.703954 \nL 370.990398 252.132637 \nL 370.990398 252.132637 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p248ed4550c)\" d=\"M 46.335852 19.296 \nL 52.510463 28.282492 \nL 58.685074 36.886913 \nL 64.859685 45.126456 \nL 71.359276 53.423789 \nL 77.858866 61.35408 \nL 84.358457 68.93537 \nL 90.858047 76.184802 \nL 97.682617 83.457689 \nL 104.507187 90.401058 \nL 111.331757 97.032355 \nL 118.481307 103.662515 \nL 125.630856 109.985939 \nL 132.780406 116.019498 \nL 140.254935 122.034648 \nL 147.729464 127.767391 \nL 155.528973 133.465543 \nL 163.328481 138.890564 \nL 171.452969 144.268274 \nL 179.577458 149.383475 \nL 188.026925 154.441487 \nL 196.801372 159.428634 \nL 205.57582 164.161918 \nL 214.675246 168.818897 \nL 224.099652 173.388903 \nL 233.849038 177.862442 \nL 243.598424 182.094045 \nL 253.672789 186.228661 \nL 264.072134 190.259087 \nL 274.796458 194.179039 \nL 285.845762 197.983086 \nL 297.220046 201.666586 \nL 308.919308 205.225689 \nL 321.26853 208.747005 \nL 333.942732 212.12678 \nL 346.941913 215.364055 \nL 360.591053 218.53123 \nL 370.990398 220.795425 \nL 370.990398 220.795425 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p248ed4550c)\" d=\"M 46.335852 261.216 \nL 51.860504 253.202822 \nL 57.385156 245.591011 \nL 62.909808 238.363653 \nL 68.43446 231.504537 \nL 73.959112 224.998121 \nL 79.483764 218.829507 \nL 85.008416 212.98444 \nL 90.533068 207.449249 \nL 96.382699 201.911674 \nL 102.232331 196.691975 \nL 108.081962 191.775976 \nL 113.931593 187.150111 \nL 119.781225 182.801413 \nL 125.630856 178.717562 \nL 131.805467 174.681112 \nL 137.980078 170.913338 \nL 144.154689 167.401639 \nL 150.65428 163.968527 \nL 157.15387 160.792476 \nL 163.653461 157.860796 \nL 170.478031 155.032328 \nL 177.302601 152.446709 \nL 184.127171 150.091315 \nL 191.27672 147.857686 \nL 198.42627 145.850563 \nL 205.900799 143.98102 \nL 213.700308 142.265301 \nL 221.499816 140.775513 \nL 229.624304 139.449306 \nL 238.073772 138.298986 \nL 246.848219 137.335287 \nL 255.947646 136.567349 \nL 265.372052 136.002664 \nL 275.121438 135.647069 \nL 285.195803 135.504716 \nL 295.595148 135.578216 \nL 306.644452 135.880498 \nL 318.343715 136.429242 \nL 330.692937 137.238251 \nL 343.692118 138.317571 \nL 357.666237 139.708009 \nL 370.990398 141.228487 \nL 370.990398 141.228487 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p248ed4550c)\" d=\"M 46.335852 261.216 \nL 53.485402 261.106746 \nL 60.634951 260.778226 \nL 68.10948 260.215749 \nL 75.908989 259.406446 \nL 84.033477 258.339371 \nL 92.482945 257.005568 \nL 101.257392 255.398124 \nL 110.681798 253.440949 \nL 120.431184 251.187973 \nL 130.830529 248.554281 \nL 141.879833 245.523255 \nL 153.579096 242.083332 \nL 166.253297 238.123956 \nL 180.227417 233.519211 \nL 195.501454 228.247928 \nL 212.725369 222.065724 \nL 233.199079 214.472281 \nL 259.522421 204.456149 \nL 359.941094 166.007132 \nL 370.990398 161.907524 \nL 370.990398 161.907524 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p248ed4550c\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     }

From ead6c7ad86078a64b71540aa2a53b35349813c07 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 15:29:01 -0400
Subject: [PATCH 19/73] Added comments to ode.py

---
 torchts/nn/models/ode.py | 24 ++++++++++++++++--------
 1 file changed, 16 insertions(+), 8 deletions(-)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 67385052..fdcab6b9 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -97,12 +97,15 @@ def get_coeffs(self):
     
 
     def fit(self, x, optim, optim_params=None, max_epochs=10, scheduler=None, scheduler_params=None):
-        """Fits model to the given data.
+        """Fits model to the given data by comparing the whole dataset
 
         Args:
             x (torch.Tensor): Original time series data
+            optim (torch.optim): Optimizer
+            optim_params: Optimizer parameters
             max_epochs (int): Number of training epochs
-            batch_size (int): Batch size for torch.utils.data.DataLoader
+            scheduler (torch.optim.lr_scheduler): Learning rate scheduler
+            scheduler_params: Learning rate scheduler parameters
         """
         dataset = TensorDataset(x)
         n = dataset.__len__()
@@ -132,12 +135,16 @@ def fit(self, x, optim, optim_params=None, max_epochs=10, scheduler=None, schedu
             print(self.coeffs)
 
     def fit_random_sample(self, x, optim, optim_params=None, max_epochs=10, batch_size=64, scheduler=None, scheduler_params=None):
-        """Fits model to the given data.
+        """Fits model to the given data by using random samples for each batch
 
         Args:
             x (torch.Tensor): Original time series data
+            optim (torch.optim): Optimizer
+            optim_params: Optimizer parameters
             max_epochs (int): Number of training epochs
             batch_size (int): Batch size for torch.utils.data.DataLoader
+            scheduler (torch.optim.lr_scheduler): Learning rate scheduler
+            scheduler_params: Learning rate scheduler parameters
         """
         dataset = TensorDataset(x)
         loader = DataLoader(dataset, batch_size=batch_size)
@@ -162,21 +169,22 @@ def fit_random_sample(self, x, optim, optim_params=None, max_epochs=10, batch_si
                 if n<3:
                     continue
 
+                # Takes a random data point from "data"
                 ri = torch.randint(low=0,high=n-2,size=()).item()
                 single_point = data[0][ri:ri+1,:]
-
-                pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
-
                 init_point = {var: single_point[0,i] for i,var in enumerate(self.var_names)}
 
-                coeffs = self.get_coeffs()
+                pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
 
                 for var in self.var_names:
-
+                    # Increment using Euler's method
+                    # TODO: Write a separate function to do this
                     new_val = init_point[var] + self.ode[var](init_point, self.coeffs) * self.dt
                     pred[var] = new_val
                 
                 predictions = torch.stack([pred[var] for var in self.outvar], dim=0)
+
+                # Compare numerical integration data with next data point
                 loss = self.criterion(predictions, data[0][ri+1,:])
 
                 loss.backward(retain_graph=True)

From 5e21e392279343162cc7e76e9c81e0665734b69b Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 15:37:25 -0400
Subject: [PATCH 20/73] Update Lorenz63Train_fit.ipynb

---
 examples/ode/lorenz63/Lorenz63Train_fit.ipynb | 838 +++++++++---------
 1 file changed, 419 insertions(+), 419 deletions(-)

diff --git a/examples/ode/lorenz63/Lorenz63Train_fit.ipynb b/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
index a701d4c1..7bf1ce03 100644
--- a/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
@@ -57,7 +57,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -70,12 +70,12 @@
     "    optimizer=None,\n",
     ")\n",
     "\n",
-    "result = ode_solver(2000)"
+    "result = ode_solver(1000)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -86,13 +86,13 @@
        "        [ 9.1793e-01,  2.6634e-01,  1.2636e-03],\n",
        "        [ 8.6792e-01,  5.1173e-01,  4.6540e-03],\n",
        "        ...,\n",
-       "        [-4.8749e+00, -7.0272e+00,  1.7946e+01],\n",
-       "        [-5.1005e+00, -7.4593e+00,  1.7824e+01],\n",
-       "        [-5.3468e+00, -7.9161e+00,  1.7745e+01]], grad_fn=<StackBackward>)"
+       "        [-5.6997e+00, -5.8341e+00,  2.3410e+01],\n",
+       "        [-5.7226e+00, -6.0452e+00,  2.3121e+01],\n",
+       "        [-5.7641e+00, -6.2715e+00,  2.2854e+01]], grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
-     "execution_count": 14
+     "execution_count": 5
     }
    ],
    "source": [
@@ -101,22 +101,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "output_type": "stream",
      "name": "stderr",
      "text": [
-      "<ipython-input-15-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+      "<ipython-input-6-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
      ]
     },
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T12:10:37.232675</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"md66cf0e62c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.815396\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −15 -->\n      <g transform=\"translate(34.263052 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"91.171859\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −10 -->\n      <g transform=\"translate(80.619515 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"137.528322\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −5 -->\n      <g transform=\"translate(130.157228 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"183.884785\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0 -->\n      <g transform=\"translate(180.703535 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"230.241249\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 5 -->\n      <g transform=\"translate(227.059999 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"276.597712\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(270.235212 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"322.954175\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 15 -->\n      <g transform=\"translate(316.591675 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.310638\" xlink:href=\"#md66cf0e62c\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 20 -->\n      <g transform=\"translate(362.948138 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_9\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m16f19ad91a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m16f19ad91a\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m16f19ad91a\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m16f19ad91a\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m16f19ad91a\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m16f19ad91a\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m16f19ad91a\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p54297b5f11)\" d=\"M 193.156078 261.829321 \nL 191.72242 261.779998 \nL 191.735823 261.745412 \nL 192.918654 261.578892 \nL 198.434185 260.884149 \nL 204.25439 259.876397 \nL 209.526025 258.688842 \nL 216.203498 256.800226 \nL 220.165331 255.474279 \nL 224.599981 253.807056 \nL 229.553437 251.714507 \nL 235.07267 249.094254 \nL 241.2038 245.822989 \nL 247.989355 241.754373 \nL 255.464366 236.718134 \nL 263.650939 230.521413 \nL 272.550991 222.953863 \nL 282.136972 213.798506 \nL 292.340455 202.850643 \nL 303.039078 189.947098 \nL 314.043026 175.006907 \nL 325.083138 158.082124 \nL 335.804184 139.412789 \nL 345.767718 119.473861 \nL 354.469228 98.995877 \nL 361.372954 78.938865 \nL 365.964108 60.405125 \nL 367.812273 44.493932 \nL 366.634493 32.125386 \nL 362.342668 23.880766 \nL 355.062318 19.909321 \nL 345.116891 19.930314 \nL 332.981813 23.324554 \nL 319.220569 29.279014 \nL 304.418204 36.937415 \nL 289.125181 45.519206 \nL 244.604243 71.301974 \nL 231.179009 78.867868 \nL 218.725498 85.710792 \nL 207.299478 91.825618 \nL 187.527712 102.038584 \nL 164.871759 113.285454 \nL 125.349039 132.521449 \nL 121.664482 133.904007 \nL 118.372806 134.792874 \nL 115.337595 135.204335 \nL 113.886838 135.23505 \nL 112.470321 135.151403 \nL 111.08326 134.955528 \nL 108.388847 134.238442 \nL 105.80478 133.113992 \nL 103.358017 131.627023 \nL 101.095623 129.839778 \nL 99.078659 127.832871 \nL 97.37527 125.70389 \nL 96.053086 123.563332 \nL 95.17125 121.527844 \nL 94.772856 119.711464 \nL 94.762423 118.918003 \nL 94.878595 118.216075 \nL 95.11979 117.615064 \nL 95.482649 117.122625 \nL 95.962086 116.74453 \nL 96.551365 116.484623 \nL 97.242245 116.3448 \nL 98.025124 116.32506 \nL 99.822909 116.636943 \nL 101.848882 117.387077 \nL 103.999878 118.5219 \nL 106.172678 119.974145 \nL 108.27027 121.669199 \nL 110.206468 123.530273 \nL 111.908778 125.48219 \nL 113.319646 127.453685 \nL 114.396395 129.378533 \nL 115.11033 131.195803 \nL 115.445407 132.849693 \nL 115.396826 134.289174 \nL 114.969838 135.467773 \nL 114.61862 135.945973 \nL 114.178935 136.343655 \nL 113.653989 136.656399 \nL 113.04754 136.880194 \nL 111.608069 137.047163 \nL 109.902434 136.822564 \nL 107.982637 136.195115 \nL 105.911306 135.167229 \nL 103.761733 133.758204 \nL 101.617121 132.007176 \nL 99.568539 129.975018 \nL 97.711444 127.744545 \nL 96.14054 125.418206 \nL 94.943282 123.112832 \nL 94.192578 120.95151 \nL 94.001719 119.962568 \nL 93.939667 119.053444 \nL 94.008474 118.236666 \nL 94.208237 117.523216 \nL 94.537054 116.92232 \nL 94.991036 116.44124 \nL 95.564374 116.085171 \nL 96.249471 115.857184 \nL 97.037107 115.758266 \nL 97.916644 115.787373 \nL 99.903236 116.216296 \nL 102.105241 117.101518 \nL 104.41241 118.380555 \nL 106.716183 119.978327 \nL 108.916119 121.813873 \nL 110.924497 123.805681 \nL 112.66889 125.875232 \nL 114.09302 127.949032 \nL 115.156268 129.959402 \nL 115.832435 131.844427 \nL 116.108104 133.547527 \nL 115.981065 135.016928 \nL 115.768588 135.649036 \nL 115.459064 136.205325 \nL 115.054888 136.680588 \nL 114.559004 137.069945 \nL 113.974924 137.368872 \nL 113.306728 137.573234 \nL 111.737279 137.684141 \nL 109.895555 137.38021 \nL 107.837146 136.65039 \nL 105.628996 135.498391 \nL 103.349573 133.946319 \nL 101.088028 132.037928 \nL 98.941948 129.840744 \nL 97.013437 127.446145 \nL 95.403294 124.966539 \nL 94.203763 122.529245 \nL 93.490398 120.267111 \nL 93.333138 119.241942 \nL 93.314305 118.307022 \nL 93.435438 117.475327 \nL 93.695943 116.75804 \nL 94.093028 116.16434 \nL 94.621785 115.7012 \nL 95.275247 115.373281 \nL 96.044571 115.182946 \nL 96.919228 115.130282 \nL 97.887245 115.213221 \nL 100.049957 115.768083 \nL 102.418903 116.795912 \nL 104.875658 118.225423 \nL 107.305506 119.973877 \nL 109.604134 121.954261 \nL 111.681995 124.080572 \nL 113.466557 126.27123 \nL 114.90268 128.450751 \nL 115.951706 130.550175 \nL 116.589774 132.506685 \nL 116.805925 134.262947 \nL 116.600354 135.766364 \nL 116.342191 136.408022 \nL 115.983068 136.968702 \nL 115.525647 137.443075 \nL 114.973145 137.826098 \nL 114.329343 138.113084 \nL 113.598613 138.299763 \nL 112.785933 138.382339 \nL 110.937874 138.222776 \nL 108.838426 137.616742 \nL 106.552689 136.560494 \nL 104.158208 135.068244 \nL 101.74477 133.17611 \nL 99.412755 130.945264 \nL 97.26977 128.463247 \nL 95.425133 125.842422 \nL 93.982497 123.214745 \nL 93.03112 120.722739 \nL 92.761392 119.5721 \nL 92.636926 118.507404 \nL 92.661047 117.543846 \nL 92.834788 116.694879 \nL 93.156815 115.971919 \nL 93.623441 115.384084 \nL 94.228661 114.938033 \nL 94.964308 114.637872 \nL 95.82022 114.48518 \nL 96.784497 114.479104 \nL 97.84377 114.616506 \nL 98.983531 114.892191 \nL 101.44269 115.829005 \nL 104.035281 117.217582 \nL 106.636368 118.971453 \nL 109.130665 120.998013 \nL 111.418019 123.204995 \nL 113.416397 125.504686 \nL 115.062646 127.81604 \nL 116.311691 130.065344 \nL 117.134685 132.185808 \nL 117.516845 134.116646 \nL 117.455324 135.802169 \nL 117.260128 136.536717 \nL 116.957518 137.190976 \nL 116.549854 137.759167 \nL 116.040031 138.23576 \nL 115.431513 138.61554 \nL 114.72832 138.893636 \nL 113.935083 139.065571 \nL 113.057058 139.127354 \nL 112.100163 139.07556 \nL 109.97709 138.621013 \nL 107.628241 137.69015 \nL 105.129205 136.288235 \nL 102.569134 134.442163 \nL 100.049939 132.204658 \nL 97.683575 129.656954 \nL 95.587123 126.908764 \nL 93.875556 124.094436 \nL 92.652603 121.364703 \nL 92.25123 120.080211 \nL 92.000733 118.874515 \nL 91.906568 117.765211 \nL 91.971785 116.768326 \nL 92.196923 115.897879 \nL 92.579932 115.165551 \nL 93.116196 114.580443 \nL 93.798597 114.148898 \nL 94.617709 113.874447 \nL 95.562004 113.757875 \nL 96.61813 113.797335 \nL 97.771276 113.98856 \nL 99.005476 114.325148 \nL 101.649756 115.399977 \nL 104.414434 116.940051 \nL 107.166814 118.850173 \nL 109.786328 121.030718 \nL 112.169894 123.384192 \nL 114.234581 125.819285 \nL 115.91786 128.252656 \nL 117.176259 130.609155 \nL 117.983073 132.821007 \nL 118.325794 134.826651 \nL 118.322505 135.734291 \nL 118.20376 136.569489 \nL 117.971026 137.325804 \nL 117.626338 137.997019 \nL 117.172254 138.577161 \nL 116.611888 139.0605 \nL 115.948895 139.44159 \nL 115.187506 139.715314 \nL 114.332566 139.876962 \nL 113.389567 139.922288 \nL 112.364697 139.847626 \nL 111.264897 139.650009 \nL 108.872334 138.87826 \nL 106.284323 137.602475 \nL 103.587974 135.838807 \nL 100.8851 133.629337 \nL 98.290449 131.046115 \nL 95.927568 128.192997 \nL 93.922108 125.203577 \nL 92.392566 122.234433 \nL 91.838672 120.80986 \nL 91.439412 119.453318 \nL 91.202708 118.184977 \nL 91.134078 117.023669 \nL 91.236395 115.986377 \nL 91.509766 115.087808 \nL 91.951449 114.340008 \nL 92.5559 113.752125 \nL 93.314897 113.330234 \nL 94.217706 113.077322 \nL 95.251392 112.993369 \nL 96.401108 113.075523 \nL 97.650498 113.31835 \nL 98.982089 113.714195 \nL 101.818837 114.925288 \nL 104.764339 116.616878 \nL 107.677666 118.684745 \nL 110.432561 121.02202 \nL 112.922746 123.525881 \nL 115.064189 126.1014 \nL 116.794838 128.66294 \nL 118.07272 131.133915 \nL 118.87315 133.445604 \nL 119.18576 135.535603 \nL 119.159155 136.479335 \nL 119.011891 137.346377 \nL 118.745651 138.130135 \nL 118.362651 138.824189 \nL 117.865632 139.422348 \nL 117.25786 139.918642 \nL 116.543152 140.307359 \nL 115.725896 140.583082 \nL 114.811097 140.740798 \nL 113.804432 140.775943 \nL 112.712299 140.684527 \nL 111.541888 140.463276 \nL 110.301243 140.109752 \nL 107.646048 139.001434 \nL 104.83022 137.363676 \nL 101.953569 135.225673 \nL 99.13156 132.647254 \nL 96.492311 129.722594 \nL 94.170748 126.580472 \nL 92.299709 123.3796 \nL 91.571322 121.812457 \nL 90.998613 120.29816 \nL 90.592359 118.859435 \nL 90.36096 117.518088 \nL 90.310146 116.294384 \nL 90.442756 115.206485 \nL 90.758549 114.269967 \nL 91.254194 113.497404 \nL 91.923279 112.898135 \nL 92.756476 112.478072 \nL 93.74177 112.239723 \nL 94.864767 112.182293 \nL 96.109063 112.301937 \nL 97.456712 112.59206 \nL 98.88864 113.043708 \nL 100.385096 113.645992 \nL 103.49189 115.251877 \nL 106.621691 117.300158 \nL 109.632348 119.675707 \nL 112.402137 122.266449 \nL 114.833268 124.968577 \nL 116.852283 127.688733 \nL 118.408301 130.344043 \nL 119.469989 132.860869 \nL 120.022114 135.17297 \nL 120.105939 136.233102 \nL 120.062362 137.219633 \nL 119.892697 138.12559 \nL 119.598796 138.944186 \nL 119.183024 139.668802 \nL 118.648254 140.292987 \nL 117.997865 140.810495 \nL 117.235773 141.215286 \nL 116.366466 141.501621 \nL 115.395049 141.664092 \nL 114.327305 141.697745 \nL 113.169777 141.598176 \nL 111.929826 141.361692 \nL 110.615715 140.985463 \nL 109.236696 140.467697 \nL 106.326163 139.00683 \nL 103.293896 136.993455 \nL 100.253566 134.472017 \nL 97.335217 131.522756 \nL 94.68076 128.264598 \nL 92.435961 124.853249 \nL 91.511074 123.147001 \nL 90.739186 121.473123 \nL 90.134204 119.856712 \nL 89.707852 118.322523 \nL 89.469257 116.894275 \nL 89.424597 115.593967 \nL 89.576879 114.441232 \nL 89.925732 113.452796 \nL 90.467362 112.642027 \nL 91.194618 112.018664 \nL 92.097144 111.58866 \nL 93.161651 111.354167 \nL 94.372296 111.31373 \nL 95.711085 111.462557 \nL 97.158381 111.792897 \nL 98.693405 112.294483 \nL 100.294742 112.955047 \nL 103.610353 114.6969 \nL 106.938492 116.898198 \nL 110.128302 119.434659 \nL 113.052173 122.187146 \nL 115.609051 125.046837 \nL 117.72438 127.917102 \nL 119.347689 130.713058 \nL 120.448974 133.359823 \nL 120.799096 134.606032 \nL 121.014725 135.790247 \nL 121.096158 136.904919 \nL 121.044314 137.942728 \nL 120.86067 138.896535 \nL 120.547215 139.759367 \nL 120.106425 140.524371 \nL 119.541253 141.18484 \nL 118.855135 141.7342 \nL 118.05203 142.16607 \nL 117.136445 142.474297 \nL 116.113507 142.653035 \nL 114.989029 142.696849 \nL 113.769591 142.600821 \nL 112.462633 142.360711 \nL 111.07654 141.973143 \nL 109.62073 141.43579 \nL 108.105751 140.747592 \nL 106.543344 139.908997 \nL 104.946498 138.922217 \nL 101.707705 136.523216 \nL 98.518001 133.612458 \nL 95.522906 130.293129 \nL 94.146928 128.524294 \nL 92.878396 126.711281 \nL 91.736708 124.87828 \nL 90.740432 123.051164 \nL 89.906775 121.256886 \nL 89.251094 119.522861 \nL 88.786387 117.876166 \nL 88.522849 116.3428 \nL 88.467472 114.946884 \nL 88.623742 113.709938 \nL 88.991455 112.650255 \nL 89.566622 111.782401 \nL 90.341535 111.11686 \nL 91.304963 110.659911 \nL 92.442433 110.413621 \nL 93.736678 110.376036 \nL 95.168093 110.541541 \nL 96.715301 110.901275 \nL 98.355692 111.443689 \nL 100.066022 112.155081 \nL 101.822958 113.020189 \nL 105.385652 115.145773 \nL 108.872201 117.685908 \nL 112.133966 120.50901 \nL 115.050679 123.493961 \nL 117.531629 126.533357 \nL 119.513733 129.533646 \nL 120.957709 132.413441 \nL 121.471015 133.785407 \nL 121.843533 135.10091 \nL 122.075051 136.352008 \nL 122.166042 137.531047 \nL 122.117584 138.630572 \nL 121.931292 139.643292 \nL 121.609252 140.562032 \nL 121.15401 141.37971 \nL 120.568551 142.089341 \nL 119.856313 142.684018 \nL 119.021219 143.156965 \nL 118.067724 143.501581 \nL 117.000887 143.711512 \nL 115.826436 143.780749 \nL 114.550879 143.703752 \nL 113.181599 143.475603 \nL 111.72696 143.092216 \nL 110.196424 142.550519 \nL 108.600635 141.848724 \nL 106.951543 140.986563 \nL 105.262433 139.965595 \nL 103.548018 138.789484 \nL 101.824408 137.464269 \nL 100.109082 135.998618 \nL 98.420795 134.404072 \nL 96.779404 132.695144 \nL 95.205644 130.889413 \nL 93.720824 129.007441 \nL 92.346429 127.072613 \nL 91.10368 125.110812 \nL 90.013009 123.149919 \nL 89.093542 121.219244 \nL 88.362476 119.348745 \nL 87.83455 117.568198 \nL 87.521507 115.906337 \nL 87.43163 114.389926 \nL 87.569376 113.042943 \nL 87.935126 111.885835 \nL 88.525103 110.934908 \nL 89.331386 110.201958 \nL 90.342127 109.694057 \nL 91.541861 109.413578 \nL 92.912003 109.358388 \nL 94.431342 109.522256 \nL 96.076685 109.895367 \nL 97.823496 110.464917 \nL 99.646541 111.215769 \nL 101.52048 112.131102 \nL 105.322522 114.383113 \nL 109.044342 117.074391 \nL 112.526497 120.063122 \nL 115.641156 123.220352 \nL 118.293097 126.433185 \nL 120.417206 129.604539 \nL 121.973945 132.650919 \nL 122.532892 134.104083 \nL 122.944088 135.499224 \nL 123.207481 136.828314 \nL 123.323698 138.083584 \nL 123.293954 139.257465 \nL 123.119965 140.342513 \nL 122.803897 141.33138 \nL 122.34832 142.216754 \nL 121.756211 142.991374 \nL 121.030945 143.648006 \nL 120.176346 144.179465 \nL 119.196733 144.578668 \nL 118.096977 144.838699 \nL 116.882615 144.952898 \nL 115.55994 144.914998 \nL 114.136119 144.719276 \nL 112.619318 144.360748 \nL 111.018839 143.835394 \nL 109.345229 143.140412 \nL 107.610416 142.274528 \nL 105.827804 141.238279 \nL 104.012336 140.034372 \nL 102.180529 138.667994 \nL 100.350481 137.147134 \nL 98.541777 135.482833 \nL 96.775354 133.689436 \nL 95.073283 131.784662 \nL 93.458444 129.789659 \nL 91.954137 127.728824 \nL 90.583623 125.629525 \nL 89.369539 123.521614 \nL 88.333325 121.436791 \nL 87.49453 119.40781 \nL 86.87022 117.467547 \nL 86.474311 115.64799 \nL 86.317042 113.979221 \nL 86.404514 112.488425 \nL 86.738371 111.198986 \nL 87.315625 110.129812 \nL 88.128699 109.294767 \nL 89.165559 108.702464 \nL 90.410103 108.356193 \nL 91.842624 108.254174 \nL 93.440433 108.38995 \nL 95.178518 108.752985 \nL 97.030299 109.329367 \nL 98.96834 110.102542 \nL 100.965056 111.054073 \nL 102.993337 112.164333 \nL 107.041782 114.78048 \nL 110.924956 117.792424 \nL 114.486829 121.053242 \nL 117.607646 124.433684 \nL 120.202699 127.823389 \nL 122.217974 131.12893 \nL 122.998275 132.724739 \nL 123.624297 134.270391 \nL 124.095277 135.75738 \nL 124.411287 137.177561 \nL 124.573087 138.52308 \nL 124.582013 139.786283 \nL 124.439868 140.959599 \nL 124.148871 142.035538 \nL 123.7116 143.006607 \nL 123.130977 143.865286 \nL 122.410278 144.604024 \nL 121.553159 145.215254 \nL 120.563705 145.691417 \nL 119.446518 146.025 \nL 118.206792 146.208666 \nL 116.850452 146.235323 \nL 115.384266 146.098323 \nL 113.815989 145.791627 \nL 112.154514 145.310029 \nL 110.410028 144.649455 \nL 108.594154 143.807253 \nL 106.720091 142.782544 \nL 104.802704 141.57658 \nL 102.858632 140.193131 \nL 100.906276 138.638887 \nL 98.965794 136.923759 \nL 97.05899 135.061211 \nL 95.209101 133.068465 \nL 93.440539 130.966592 \nL 91.778485 128.78044 \nL 90.248387 126.538418 \nL 88.875389 124.272055 \nL 87.683683 122.015345 \nL 86.695772 119.803952 \nL 85.931717 117.674177 \nL 85.408433 115.661845 \nL 85.138997 113.801124 \nL 85.132091 112.123352 \nL 85.391554 110.65595 \nL 85.916129 109.421539 \nL 86.699388 108.437237 \nL 87.729864 107.714267 \nL 88.991375 107.257854 \nL 90.46356 107.067385 \nL 92.122502 107.136862 \nL 93.941489 107.455518 \nL 95.891847 108.00862 \nL 97.943762 108.778322 \nL 100.067075 109.74454 \nL 102.23205 110.885783 \nL 104.409996 112.17993 \nL 106.573813 113.604857 \nL 110.761025 116.761552 \nL 114.621697 120.195453 \nL 118.024254 123.766843 \nL 120.876241 127.358 \nL 122.076403 129.129668 \nL 123.119386 130.870803 \nL 124.002133 132.57153 \nL 124.722858 134.222655 \nL 125.280846 135.815536 \nL 125.676251 137.341946 \nL 125.909944 138.793962 \nL 125.983367 140.163852 \nL 125.89841 141.44399 \nL 125.657348 142.62678 \nL 125.262756 143.704613 \nL 124.717496 144.669779 \nL 124.02471 145.514487 \nL 123.187843 146.230836 \nL 122.210693 146.810815 \nL 121.097471 147.246379 \nL 119.852927 147.529499 \nL 118.48244 147.652242 \nL 116.992178 147.606955 \nL 115.38924 147.386422 \nL 113.681837 146.98408 \nL 111.879459 146.394293 \nL 109.993058 145.612697 \nL 108.03522 144.636528 \nL 106.020299 143.465049 \nL 103.964582 142.099962 \nL 101.886336 140.545871 \nL 99.805853 138.810707 \nL 97.745379 136.906144 \nL 95.728999 134.847893 \nL 93.782381 132.655962 \nL 91.932439 130.354711 \nL 90.206848 127.972742 \nL 88.633442 125.542567 \nL 87.239542 123.10003 \nL 86.051161 120.68349 \nL 85.092162 118.332819 \nL 84.383413 116.088127 \nL 83.941968 113.988474 \nL 83.78034 112.070458 \nL 83.905876 110.366898 \nL 84.320362 108.905668 \nL 85.019801 107.708765 \nL 85.994458 106.791681 \nL 87.229109 106.163094 \nL 88.703531 105.824947 \nL 90.393162 105.772837 \nL 92.269948 105.996652 \nL 94.303233 106.481454 \nL 96.46071 107.208443 \nL 98.709382 108.155993 \nL 101.016409 109.300662 \nL 103.349918 110.618098 \nL 105.679651 112.083806 \nL 107.977465 113.673836 \nL 110.217746 115.365234 \nL 114.43712 118.96729 \nL 118.189286 122.736268 \nL 119.855977 124.642438 \nL 121.369957 126.544284 \nL 122.724206 128.429414 \nL 123.913644 130.286565 \nL 124.934876 132.105472 \nL 125.785938 133.876661 \nL 126.466053 135.591301 \nL 126.975403 137.241057 \nL 127.314941 138.81795 \nL 127.486206 140.314229 \nL 127.491206 141.722259 \nL 127.332284 143.034442 \nL 127.012047 144.243123 \nL 126.533322 145.340524 \nL 125.899131 146.318722 \nL 125.112702 147.169583 \nL 124.177505 147.884783 \nL 123.097326 148.455826 \nL 121.876349 148.87408 \nL 120.519284 149.130848 \nL 119.031502 149.21749 \nL 117.41921 149.125586 \nL 115.689618 148.847107 \nL 113.851152 148.374695 \nL 111.913655 147.701979 \nL 109.888597 146.823905 \nL 107.789276 145.737192 \nL 105.630994 144.440768 \nL 103.431218 142.936308 \nL 101.209691 141.228711 \nL 98.988438 139.326645 \nL 96.791729 137.243009 \nL 94.645941 134.995332 \nL 92.579251 132.606014 \nL 90.621254 130.102412 \nL 88.802373 127.516702 \nL 87.153219 124.885457 \nL 85.70374 122.248958 \nL 84.482317 119.650216 \nL 83.514804 117.133706 \nL 82.823543 114.743929 \nL 82.426414 112.523809 \nL 82.336033 110.513103 \nL 82.559094 108.746871 \nL 83.095941 107.254199 \nL 83.940386 106.057172 \nL 85.079828 105.170286 \nL 86.495638 104.600257 \nL 88.163801 104.346225 \nL 90.055742 104.400373 \nL 92.139328 104.748768 \nL 94.379936 105.372504 \nL 96.741552 106.248865 \nL 99.187847 107.352533 \nL 101.683098 108.656717 \nL 104.193062 110.134175 \nL 106.685635 111.75802 \nL 109.131372 113.502389 \nL 111.503824 115.342892 \nL 113.779755 117.256928 \nL 115.939182 119.22381 \nL 117.965314 121.224794 \nL 119.844425 123.243049 \nL 121.565617 125.263476 \nL 123.120566 127.272593 \nL 124.503219 129.258296 \nL 125.709505 131.209687 \nL 126.737023 133.116853 \nL 127.584753 134.970684 \nL 128.252799 136.762675 \nL 128.742143 138.484788 \nL 129.054427 140.129281 \nL 129.191788 141.688578 \nL 129.156704 143.155157 \nL 128.951884 144.521449 \nL 128.580193 145.779762 \nL 128.044605 146.922182 \nL 127.348199 147.940557 \nL 126.49417 148.826439 \nL 125.485874 149.571081 \nL 124.326918 150.165461 \nL 123.02126 150.600288 \nL 121.57335 150.866118 \nL 119.988295 150.953448 \nL 118.27204 150.852875 \nL 116.431581 150.555297 \nL 114.475193 150.052229 \nL 112.412672 149.336091 \nL 110.255584 148.400645 \nL 108.017501 147.241451 \nL 105.714231 145.856395 \nL 103.364003 144.246271 \nL 100.987611 142.415414 \nL 98.608488 140.37229 \nL 96.252663 138.130068 \nL 93.948615 135.707136 \nL 91.727017 133.127407 \nL 89.620248 130.420504 \nL 87.661808 127.62161 \nL 85.885554 124.771047 \nL 84.324756 121.91349 \nL 83.011051 119.096856 \nL 81.973316 116.370845 \nL 81.23653 113.785241 \nL 80.820691 111.38802 \nL 80.739833 109.223483 \nL 81.001276 107.330469 \nL 81.605135 105.740821 \nL 82.544152 104.47827 \nL 83.803798 103.55776 \nL 85.362792 102.985282 \nL 87.19383 102.758214 \nL 89.264631 102.866088 \nL 91.539059 103.291729 \nL 93.978421 104.012556 \nL 96.542727 105.002044 \nL 99.19187 106.231116 \nL 101.886725 107.669458 \nL 104.590094 109.286653 \nL 107.267389 111.053077 \nL 109.887191 112.94059 \nL 112.421594 114.922992 \nL 114.846367 116.976305 \nL 117.140958 119.078858 \nL 119.288391 121.211283 \nL 121.275054 123.356367 \nL 123.09042 125.498887 \nL 124.726718 127.62538 \nL 126.178585 129.723895 \nL 127.442718 131.783772 \nL 128.517522 133.795377 \nL 129.402789 135.749907 \nL 130.099398 137.63917 \nL 130.609044 139.455417 \nL 130.93402 141.191164 \nL 131.077005 142.839074 \nL 131.04093 144.391788 \nL 130.828842 145.841851 \nL 130.443831 147.18161 \nL 129.888981 148.403123 \nL 129.167363 149.498093 \nL 128.282043 150.457853 \nL 127.236147 151.273311 \nL 126.032947 151.934947 \nL 124.67597 152.432878 \nL 123.169148 152.756864 \nL 121.517001 152.896448 \nL 119.724836 152.841085 \nL 117.798982 152.580384 \nL 115.747054 152.104327 \nL 113.57822 151.403652 \nL 111.303496 150.470263 \nL 108.93603 149.297741 \nL 106.49138 147.881932 \nL 103.987782 146.221602 \nL 101.446341 144.319144 \nL 98.89116 142.181313 \nL 96.349383 139.819944 \nL 93.851126 137.252606 \nL 91.429182 134.503105 \nL 89.118635 131.601772 \nL 86.956242 128.585493 \nL 84.979579 125.497366 \nL 83.226066 122.38593 \nL 81.731768 119.304003 \nL 80.530106 116.307072 \nL 79.650515 113.45137 \nL 79.117134 110.791668 \nL 78.94761 108.379032 \nL 79.152165 106.258654 \nL 79.732877 104.467945 \nL 80.683423 103.035095 \nL 81.989143 101.978159 \nL 83.627537 101.304811 \nL 85.569088 101.012668 \nL 87.77844 101.090172 \nL 90.215725 101.517928 \nL 92.838033 102.270292 \nL 95.600908 103.317086 \nL 98.45976 104.625298 \nL 101.371124 106.160625 \nL 104.293735 107.888824 \nL 107.189369 109.776776 \nL 110.023465 111.793261 \nL 112.765486 113.909477 \nL 115.389112 116.099303 \nL 117.872223 118.339411 \nL 120.196758 120.609172 \nL 122.348435 122.890491 \nL 124.316432 125.167581 \nL 126.092996 127.426663 \nL 127.673016 129.655672 \nL 129.053626 131.843986 \nL 130.233803 133.982134 \nL 131.213982 136.061531 \nL 131.99572 138.074284 \nL 132.581396 140.012949 \nL 132.97395 141.870378 \nL 133.176643 143.639538 \nL 133.192912 145.313378 \nL 133.0262 146.884712 \nL 132.679889 148.346086 \nL 132.157215 149.68972 \nL 131.461269 150.907396 \nL 130.59499 151.990425 \nL 129.561221 152.929583 \nL 128.362799 153.715083 \nL 127.002649 154.336589 \nL 125.483951 154.783223 \nL 123.810315 155.043675 \nL 121.985987 155.106272 \nL 120.016106 154.959186 \nL 117.906981 154.590659 \nL 115.666386 153.989323 \nL 113.303903 153.144605 \nL 110.831247 152.047232 \nL 108.262622 150.689858 \nL 105.615053 149.067735 \nL 102.908668 147.179534 \nL 100.16696 145.028182 \nL 97.416942 142.621756 \nL 94.689151 139.97434 \nL 92.01755 137.106803 \nL 89.439203 134.047381 \nL 86.993731 130.831955 \nL 84.722548 127.504034 \nL 82.667831 124.114205 \nL 80.871266 120.719103 \nL 79.372618 117.379843 \nL 78.208162 114.159949 \nL 77.409112 111.122927 \nL 77.000073 108.329535 \nL 76.997739 105.835099 \nL 77.409881 103.687 \nL 78.234723 101.922624 \nL 79.460779 100.567909 \nL 81.067174 99.636674 \nL 83.024473 99.130677 \nL 85.295842 99.040466 \nL 87.838573 99.346732 \nL 90.605754 100.022204 \nL 93.548056 101.033661 \nL 96.615433 102.344093 \nL 99.758673 103.914556 \nL 102.930764 105.705925 \nL 106.087956 107.680271 \nL 109.190568 109.801836 \nL 112.203484 112.037734 \nL 115.096426 114.358322 \nL 117.843969 116.737306 \nL 120.425406 119.151674 \nL 122.824446 121.581485 \nL 125.028824 124.009574 \nL 127.029855 126.421205 \nL 128.821949 128.803711 \nL 130.402124 131.146124 \nL 131.76952 133.438878 \nL 132.924975 135.673484 \nL 133.8706 137.842259 \nL 134.609425 139.938085 \nL 135.145092 141.954197 \nL 135.481571 143.884011 \nL 135.622955 145.720954 \nL 135.573295 147.458319 \nL 135.336459 149.089149 \nL 134.91605 150.606115 \nL 134.315365 152.001438 \nL 133.537375 153.266774 \nL 132.584769 154.393167 \nL 131.459996 155.370992 \nL 130.16538 156.189894 \nL 128.703239 156.838795 \nL 127.076062 157.305906 \nL 125.286704 157.578787 \nL 123.338631 157.644446 \nL 121.236203 157.489514 \nL 118.984981 157.100491 \nL 116.592078 156.464067 \nL 114.066534 155.567575 \nL 111.41973 154.39953 \nL 108.66579 152.950308 \nL 105.821986 151.212963 \nL 102.909137 149.184144 \nL 99.951893 146.865116 \nL 96.979007 144.262825 \nL 94.023399 141.390981 \nL 91.12208 138.271048 \nL 88.315871 134.933023 \nL 85.648806 131.415924 \nL 83.167295 127.767835 \nL 80.918941 124.045389 \nL 78.951121 120.312609 \nL 77.309253 116.639086 \nL 76.034973 113.09754 \nL 75.164216 109.760816 \nL 74.725353 106.698628 \nL 74.737626 103.974244 \nL 75.209884 101.641389 \nL 76.139855 99.741811 \nL 77.513984 98.303545 \nL 79.307852 97.34016 \nL 81.487168 96.851042 \nL 84.009272 96.822471 \nL 86.82495 97.229568 \nL 89.880515 98.038558 \nL 93.119883 99.209406 \nL 96.486626 100.698346 \nL 99.925756 102.460158 \nL 103.385241 104.450177 \nL 106.817192 106.625784 \nL 110.178718 108.947501 \nL 113.432392 111.379618 \nL 116.546454 113.890503 \nL 119.494768 116.452588 \nL 122.256542 119.042201 \nL 124.815932 121.639221 \nL 127.161531 124.226643 \nL 129.285821 126.790163 \nL 131.184565 129.317706 \nL 132.856261 131.799044 \nL 134.301576 134.225362 \nL 135.522853 136.58896 \nL 136.523651 138.882929 \nL 137.308343 141.100905 \nL 137.881777 143.236842 \nL 138.248995 145.284826 \nL 138.41499 147.238896 \nL 138.384535 149.09291 \nL 138.162036 150.840398 \nL 137.751454 152.474471 \nL 137.156246 153.987677 \nL 136.379362 155.371939 \nL 135.423263 156.618454 \nL 134.289989 157.717596 \nL 132.98124 158.658879 \nL 131.498519 159.430896 \nL 129.843305 160.021315 \nL 128.017236 160.416892 \nL 126.022377 160.603505 \nL 123.8615 160.566312 \nL 121.538416 160.28991 \nL 119.05835 159.758643 \nL 116.428359 158.956982 \nL 113.657787 157.870069 \nL 110.758757 156.484362 \nL 107.746659 154.788486 \nL 104.640652 152.774221 \nL 101.464122 150.437663 \nL 98.245082 147.780468 \nL 95.016412 144.811228 \nL 91.81601 141.546774 \nL 88.686616 138.01339 \nL 85.675429 134.247762 \nL 82.833349 130.297473 \nL 80.213853 126.22091 \nL 77.871511 122.086458 \nL 75.860109 117.970798 \nL 74.230522 113.956391 \nL 73.028401 110.128157 \nL 72.291871 106.569589 \nL 72.04934 103.358613 \nL 72.317751 100.563546 \nL 73.10131 98.239552 \nL 74.390904 96.426071 \nL 76.164285 95.145339 \nL 78.38697 94.40218 \nL 81.013796 94.185034 \nL 83.991049 94.468049 \nL 87.258852 95.213868 \nL 90.753757 96.376812 \nL 94.411227 97.90615 \nL 98.167902 99.749007 \nL 101.963578 101.853014 \nL 105.742702 104.168215 \nL 109.455459 106.648509 \nL 113.058441 109.252475 \nL 116.514924 111.943772 \nL 119.794832 114.691111 \nL 122.87442 117.468007 \nL 125.735814 120.252337 \nL 128.366385 123.025808 \nL 130.758077 125.773367 \nL 132.906708 128.482652 \nL 134.81127 131.143483 \nL 136.473293 133.747373 \nL 137.896216 136.287135 \nL 139.084862 138.756511 \nL 140.044966 141.149886 \nL 140.782748 143.462035 \nL 141.304599 145.687905 \nL 141.61679 147.822445 \nL 141.725252 149.86043 \nL 141.63541 151.796339 \nL 141.352071 153.624231 \nL 140.879344 155.337598 \nL 140.220609 156.929284 \nL 139.378516 158.391365 \nL 138.355017 159.715059 \nL 137.15145 160.890614 \nL 135.768633 161.907239 \nL 134.207004 162.753019 \nL 132.466802 163.414876 \nL 130.548274 163.878522 \nL 128.451956 164.128507 \nL 126.178947 164.148275 \nL 123.7313 163.920327 \nL 121.112414 163.426444 \nL 118.327501 162.648082 \nL 115.384107 161.566881 \nL 112.292685 160.165339 \nL 109.06719 158.427706 \nL 105.725708 156.341085 \nL 102.291042 153.896729 \nL 98.791283 151.091549 \nL 95.260242 147.929783 \nL 91.73776 144.424703 \nL 88.269699 140.600286 \nL 84.907704 136.492616 \nL 81.708496 132.150903 \nL 78.732728 127.637781 \nL 76.043391 123.028755 \nL 73.703675 118.410552 \nL 71.774467 113.878351 \nL 70.311521 109.53192 \nL 69.362558 105.470868 \nL 68.964483 101.789384 \nL 69.140983 98.571002 \nL 69.900758 95.883905 \nL 71.236585 93.777344 \nL 73.125351 92.279447 \nL 75.529028 91.396896 \nL 78.396493 91.116005 \nL 81.666126 91.405469 \nL 85.268768 92.219855 \nL 89.130916 93.503802 \nL 93.177823 95.196128 \nL 97.336322 97.233663 \nL 101.537182 99.554404 \nL 105.716963 102.099994 \nL 109.819264 104.817307 \nL 113.795471 107.659392 \nL 117.605024 110.585785 \nL 121.215275 113.562354 \nL 124.601058 116.560855 \nL 127.744037 119.558293 \nL 130.631931 122.536163 \nL 133.257665 125.479722 \nL 135.618512 128.377294 \nL 137.715255 131.2196 \nL 139.551409 133.999213 \nL 141.13252 136.710087 \nL 142.46554 139.34715 \nL 143.558271 141.906001 \nL 144.418918 144.382602 \nL 145.055712 146.773087 \nL 145.476595 149.073581 \nL 145.688979 151.280028 \nL 145.699567 153.388054 \nL 145.514217 155.392855 \nL 145.137857 157.289084 \nL 144.57444 159.070722 \nL 143.826933 160.730966 \nL 142.897333 162.262121 \nL 141.786724 163.655492 \nL 140.495363 164.901261 \nL 139.022789 165.988366 \nL 137.367967 166.904407 \nL 135.52948 167.635539 \nL 133.505744 168.166414 \nL 131.295269 168.480123 \nL 128.896998 168.558249 \nL 126.310681 168.380909 \nL 123.537302 167.926974 \nL 120.57962 167.17437 \nL 117.442729 166.100556 \nL 114.134735 164.683187 \nL 110.667466 162.901062 \nL 107.057229 160.735281 \nL 103.325629 158.170737 \nL 99.500289 155.197889 \nL 95.615576 151.814787 \nL 91.713109 148.029295 \nL 87.842039 143.861353 \nL 84.058972 139.345083 \nL 80.427453 134.530499 \nL 77.016855 129.484474 \nL 73.900644 124.290646 \nL 71.154003 119.048 \nL 68.850813 113.867893 \nL 67.060217 108.86949 \nL 65.842852 104.173927 \nL 65.247198 99.89747 \nL 65.306297 96.144549 \nL 66.035223 93.001288 \nL 67.429592 90.53038 \nL 69.465353 88.768013 \nL 72.099809 87.723028 \nL 75.273881 87.378336 \nL 78.915311 87.694438 \nL 82.942465 88.614211 \nL 87.268401 90.068456 \nL 91.804843 91.981391 \nL 96.465741 94.275628 \nL 101.170212 96.876302 \nL 105.844798 99.713986 \nL 110.42494 102.726657 \nL 114.855775 105.860598 \nL 119.092338 109.07057 \nL 123.099271 112.319399 \nL 126.850172 115.577232 \nL 130.326717 118.820549 \nL 133.517614 122.031162 \nL 136.41755 125.195224 \nL 139.026091 128.302316 \nL 141.346686 131.344649 \nL 143.385728 134.316415 \nL 145.151717 137.213223 \nL 146.654539 140.031664 \nL 147.904852 142.768966 \nL 148.913566 145.422697 \nL 149.69143 147.990571 \nL 150.248688 150.470253 \nL 150.594829 152.859236 \nL 150.738382 155.154707 \nL 150.686788 157.353432 \nL 150.446295 159.451679 \nL 150.021911 161.445094 \nL 149.417383 163.328588 \nL 148.6352 165.096256 \nL 147.676639 166.741228 \nL 146.54181 168.255553 \nL 145.229745 169.630064 \nL 143.738493 170.854218 \nL 142.065268 171.915976 \nL 140.206599 172.801619 \nL 138.158534 173.495616 \nL 135.916883 173.980514 \nL 133.477507 174.236813 \nL 130.836694 174.242956 \nL 127.991559 173.975356 \nL 124.940583 173.408524 \nL 121.684195 172.515389 \nL 118.225493 171.267803 \nL 114.571042 169.637279 \nL 110.731772 167.596079 \nL 106.723973 165.118646 \nL 102.570328 162.18345 \nL 98.300953 158.775269 \nL 93.954362 154.887873 \nL 89.578267 150.527051 \nL 85.23005 145.71373 \nL 80.97682 140.486968 \nL 76.894802 134.90648 \nL 73.068021 129.054116 \nL 69.58607 123.033883 \nL 66.540929 116.970028 \nL 64.02299 111.002853 \nL 62.116345 105.282274 \nL 60.893782 99.959454 \nL 60.411878 95.17724 \nL 60.706734 91.06047 \nL 61.790888 87.707451 \nL 63.651732 85.183592 \nL 66.251767 83.518287 \nL 69.530614 82.705144 \nL 73.408589 82.70545 \nL 77.79144 83.45414 \nL 82.575673 84.867279 \nL 87.653966 86.84993 \nL 92.920173 89.303481 \nL 98.273579 92.131769 \nL 103.622192 95.245578 \nL 108.884978 98.565662 \nL 113.99313 102.024078 \nL 118.89044 105.564533 \nL 123.533018 109.141759 \nL 127.888473 112.720401 \nL 131.934751 116.273582 \nL 135.658796 119.781457 \nL 139.055141 123.229796 \nL 142.124499 126.608708 \nL 144.872453 129.91156 \nL 147.308257 133.134114 \nL 149.443777 136.273787 \nL 151.292579 139.329123 \nL 152.869155 142.299349 \nL 154.188302 145.184081 \nL 155.264604 147.983099 \nL 156.112031 150.696154 \nL 156.743631 153.322864 \nL 157.171306 155.862607 \nL 157.405645 158.314435 \nL 157.455811 160.677019 \nL 157.329486 162.948569 \nL 157.032826 165.12676 \nL 156.570467 167.208664 \nL 155.945533 169.190645 \nL 155.159668 171.068292 \nL 154.213085 172.836266 \nL 153.104618 174.488194 \nL 151.831796 176.016509 \nL 150.390913 177.412281 \nL 148.777139 178.665044 \nL 146.984623 179.762589 \nL 145.00664 180.690743 \nL 142.835768 181.433147 \nL 140.464098 181.971025 \nL 137.88351 182.282974 \nL 135.086011 182.344796 \nL 132.064151 182.129354 \nL 128.811551 181.60656 \nL 125.323548 180.743494 \nL 121.597965 179.504729 \nL 117.636037 177.852935 \nL 113.443502 175.749875 \nL 109.03184 173.157841 \nL 104.41966 170.041697 \nL 99.63418 166.371504 \nL 94.712714 162.125934 \nL 89.704095 157.296251 \nL 84.669816 151.890846 \nL 79.684707 145.939966 \nL 74.836928 139.500216 \nL 70.226958 132.658038 \nL 65.965373 125.531535 \nL 62.169255 118.269591 \nL 58.957164 111.047681 \nL 56.442885 104.060015 \nL 54.728346 97.5082 \nL 53.896351 91.587326 \nL 54.00392 86.471155 \nL 55.077128 82.298429 \nL 57.108124 79.162383 \nL 60.054864 77.105003 \nL 63.843599 76.11695 \nL 68.373807 76.142613 \nL 73.52493 77.089407 \nL 79.164075 78.839277 \nL 85.153763 81.260812 \nL 91.359031 84.22013 \nL 97.6533 87.589721 \nL 103.922724 91.254518 \nL 110.068956 95.115409 \nL 116.010504 99.090566 \nL 121.682855 103.114934 \nL 127.037684 107.138794 \nL 132.041432 111.125577 \nL 136.673515 115.049534 \nL 140.924345 118.89348 \nL 144.793354 122.646726 \nL 148.287138 126.30337 \nL 151.417721 129.860867 \nL 154.201054 133.318957 \nL 156.65573 136.678817 \nL 158.801899 139.942487 \nL 160.660384 143.112415 \nL 162.251987 146.191194 \nL 163.596932 149.181379 \nL 164.714468 152.085343 \nL 165.622561 154.905249 \nL 166.337692 157.642991 \nL 166.874722 160.300157 \nL 167.24682 162.878059 \nL 167.465435 165.377701 \nL 167.540295 167.799781 \nL 167.479434 170.144653 \nL 167.289234 172.412338 \nL 166.974474 174.60248 \nL 166.538383 176.714294 \nL 165.982696 178.746538 \nL 165.307704 180.697432 \nL 164.512298 182.564578 \nL 163.594016 184.344876 \nL 162.549075 186.034398 \nL 161.372407 187.628261 \nL 160.057683 189.120454 \nL 158.597348 190.503668 \nL 156.982647 191.769062 \nL 155.203662 192.906023 \nL 153.249372 193.901884 \nL 151.107712 194.741588 \nL 148.765696 195.407349 \nL 146.209549 195.878253 \nL 143.424919 196.129855 \nL 140.39717 196.133759 \nL 137.111763 195.857212 \nL 133.554776 195.262794 \nL 129.713582 194.308168 \nL 125.577727 192.946086 \nL 121.140035 191.124668 \nL 116.397978 188.788148 \nL 111.355362 185.878261 \nL 106.024286 182.336433 \nL 100.427395 178.107053 \nL 94.600388 173.141967 \nL 88.594556 167.406347 \nL 82.479244 160.885888 \nL 76.343861 153.595057 \nL 70.299001 145.585714 \nL 64.476229 136.955057 \nL 59.025926 127.851319 \nL 54.112772 118.475426 \nL 49.908552 109.076751 \nL 46.582481 99.941753 \nL 44.289486 91.375271 \nL 43.157727 83.676089 \nL 43.276809 77.109673 \nL 44.688472 71.882833 \nL 47.381302 68.124496 \nL 51.290409 65.876418 \nL 56.302238 65.095157 \nL 62.263747 65.66419 \nL 68.994527 67.413334 \nL 76.300077 70.141192 \nL 83.984577 73.636818 \nL 91.861775 77.697556 \nL 99.763262 82.141661 \nL 107.543828 86.815427 \nL 115.08411 91.595631 \nL 122.290989 96.388467 \nL 129.096301 101.126322 \nL 135.454426 105.763383 \nL 141.339268 110.271128 \nL 146.741016 114.633997 \nL 151.662942 118.845733 \nL 156.118454 122.906394 \nL 160.128466 126.820036 \nL 163.719156 130.593022 \nL 166.920091 134.232816 \nL 169.762718 137.747197 \nL 172.279167 141.143734 \nL 174.501341 144.429516 \nL 176.460237 147.611012 \nL 178.185472 150.694011 \nL 179.704962 153.683641 \nL 182.22886 159.400402 \nL 184.216505 164.791444 \nL 185.821901 169.880326 \nL 187.783976 176.987023 \nL 190.642526 187.537194 \nL 191.855357 191.330068 \nL 193.201632 194.884947 \nL 194.741815 198.200123 \nL 196.539527 201.267827 \nL 197.556521 202.704251 \nL 198.664865 204.07195 \nL 199.874858 205.367048 \nL 201.197599 206.584652 \nL 202.645078 207.718652 \nL 204.23027 208.76148 \nL 205.967212 209.703839 \nL 207.871073 210.534362 \nL 209.958212 211.239243 \nL 212.246196 211.801765 \nL 214.753801 212.201787 \nL 217.500942 212.415153 \nL 220.508543 212.413029 \nL 223.798304 212.161179 \nL 227.392348 211.619219 \nL 231.31268 210.739873 \nL 235.580428 209.468303 \nL 240.214827 207.741645 \nL 245.231807 205.488888 \nL 250.642207 202.631325 \nL 256.449452 199.083881 \nL 262.646723 194.757706 \nL 269.213514 189.564452 \nL 276.111723 183.422711 \nL 283.281356 176.267 \nL 290.63619 168.059439 \nL 298.059919 158.80385 \nL 305.403515 148.561222 \nL 312.484793 137.464594 \nL 319.091213 125.730299 \nL 324.986983 113.661646 \nL 329.924975 101.641236 \nL 333.663391 90.109026 \nL 335.985794 79.526251 \nL 336.722333 70.328981 \nL 335.768587 62.878941 \nL 333.098966 57.421618 \nL 328.771633 54.060657 \nL 322.924016 52.754129 \nL 315.759625 53.332367 \nL 307.52864 55.531762 \nL 298.50574 59.036 \nL 288.968601 63.515929 \nL 279.179684 68.661705 \nL 269.372959 74.204072 \nL 259.745828 79.924832 \nL 250.455822 85.658568 \nL 241.621044 91.288237 \nL 233.323202 96.737599 \nL 225.612145 101.962505 \nL 218.511075 106.942508 \nL 212.021798 111.673579 \nL 206.129607 116.162302 \nL 200.807598 120.42143 \nL 196.020333 124.466714 \nL 191.726836 128.314755 \nL 187.882986 131.981638 \nL 184.443367 135.482125 \nL 181.36265 138.829269 \nL 178.596601 142.034266 \nL 173.840953 148.053465 \nL 169.864976 153.594492 \nL 161.652979 165.514797 \nL 158.516214 169.508459 \nL 156.894076 171.328438 \nL 155.211616 173.023472 \nL 153.451652 174.586634 \nL 151.597769 176.009524 \nL 149.634199 177.282112 \nL 147.545736 178.392536 \nL 145.317704 179.32692 \nL 142.935963 180.069189 \nL 140.386993 180.600829 \nL 137.658036 180.900741 \nL 134.73733 180.945062 \nL 131.614427 180.707105 \nL 128.280646 180.157362 \nL 124.729631 179.263692 \nL 120.958067 177.991696 \nL 116.966545 176.305408 \nL 112.760584 174.168332 \nL 108.351809 171.544961 \nL 103.759249 168.402868 \nL 99.010719 164.715356 \nL 94.144213 160.464839 \nL 89.20914 155.646734 \nL 84.267311 150.273814 \nL 79.393449 144.380659 \nL 74.674946 138.027743 \nL 70.210627 131.304433 \nL 66.108424 124.330211 \nL 62.481609 117.253282 \nL 59.443825 110.245982 \nL 57.102951 103.496723 \nL 55.554302 97.198815 \nL 54.873802 91.537149 \nL 55.111823 86.674254 \nL 56.288595 82.737772 \nL 58.39174 79.81116 \nL 61.376393 77.928901 \nL 65.16787 77.077121 \nL 69.666583 77.198831 \nL 74.754593 78.20294 \nL 80.302943 79.97522 \nL 86.17896 82.389616 \nL 92.252927 85.318334 \nL 98.403518 88.639969 \nL 104.521809 92.245116 \nL 110.513853 96.039488 \nL 116.30185 99.945121 \nL 121.824227 103.899907 \nL 127.034873 107.856138 \nL 131.901749 111.778545 \nL 136.405189 115.642077 \nL 140.536017 119.429808 \nL 144.293674 123.131003 \nL 147.684413 126.739499 \nL 150.719695 130.252368 \nL 153.414729 133.668902 \nL 155.787245 136.98981 \nL 157.856461 140.216651 \nL 159.642229 143.351424 \nL 161.164364 146.396293 \nL 162.44212 149.35339 \nL 163.493786 152.224717 \nL 164.336397 155.012042 \nL 164.985533 157.716888 \nL 165.455186 160.340479 \nL 165.757683 162.883733 \nL 165.903652 165.347244 \nL 165.902024 167.731261 \nL 165.760049 170.035679 \nL 165.483335 172.25998 \nL 165.075892 174.403198 \nL 164.540179 176.46388 \nL 163.877152 178.440014 \nL 163.086325 180.328933 \nL 162.165797 182.12722 \nL 161.11231 183.830607 \nL 159.921281 185.433823 \nL 158.586844 186.930423 \nL 157.101892 188.312617 \nL 155.458118 189.57104 \nL 153.646074 190.69451 \nL 151.655241 191.669732 \nL 149.474123 192.481009 \nL 147.090379 193.109873 \nL 144.491005 193.534744 \nL 141.662564 193.730528 \nL 138.591526 193.668267 \nL 135.264695 193.3148 \nL 131.669767 192.63252 \nL 127.796076 191.579268 \nL 123.635499 190.108474 \nL 119.183625 188.169627 \nL 114.441161 185.709254 \nL 109.415609 182.672538 \nL 104.123221 179.005804 \nL 98.591185 174.660033 \nL 92.859952 169.595513 \nL 86.985579 163.787804 \nL 81.041807 157.234707 \nL 75.121598 149.964027 \nL 69.337668 142.04127 \nL 63.8216 133.576165 \nL 58.721026 124.726573 \nL 54.194505 115.698081 \nL 50.404055 106.737801 \nL 47.505458 98.121631 \nL 45.637187 90.135243 \nL 44.908986 83.050717 \nL 45.391624 77.101941 \nL 47.109434 72.462947 \nL 50.036722 69.232824 \nL 54.098899 67.430079 \nL 59.178041 66.996955 \nL 65.122184 67.812413 \nL 71.756854 69.710575 \nL 78.897256 72.501163 \nL 86.359721 75.988504 \nL 93.971259 79.986893 \nL 101.576634 84.331008 \nL 109.042822 88.881705 \nL 116.261098 93.527665 \nL 123.147105 98.184151 \nL 129.639497 102.789885 \nL 135.697629 107.303151 \nL 141.298724 111.697682 \nL 146.434882 115.958858 \nL 151.110151 120.080431 \nL 155.337799 124.061875 \nL 159.137929 127.906347 \nL 162.535406 131.619148 \nL 165.558145 135.206651 \nL 168.23572 138.67561 \nL 170.598262 142.032668 \nL 172.675619 145.284109 \nL 174.496729 148.435703 \nL 176.089173 151.492676 \nL 177.478882 154.459715 \nL 178.689958 157.340993 \nL 180.663036 162.860759 \nL 182.163076 168.077379 \nL 183.316071 173.011645 \nL 184.609681 179.921338 \nL 186.187753 190.244608 \nL 187.367305 197.535152 \nL 188.393404 202.487713 \nL 189.205872 205.557024 \nL 190.161489 208.445435 \nL 191.299585 211.15419 \nL 192.665928 213.680699 \nL 194.314926 216.016941 \nL 196.312086 218.147118 \nL 197.465398 219.127028 \nL 198.736746 220.044122 \nL 200.138703 220.89239 \nL 201.685099 221.664345 \nL 203.391115 222.350699 \nL 205.273387 222.939996 \nL 207.350081 223.418163 \nL 209.640966 223.767975 \nL 212.167442 223.968428 \nL 214.952525 223.994009 \nL 218.020769 223.813857 \nL 221.398071 223.390817 \nL 225.111359 222.680403 \nL 229.188076 221.629722 \nL 233.655414 220.176405 \nL 238.539223 218.247691 \nL 243.862487 215.759809 \nL 249.643274 212.618008 \nL 255.892035 208.717518 \nL 262.608164 203.946082 \nL 269.775738 198.188593 \nL 277.358424 191.334646 \nL 285.293784 183.289667 \nL 293.487218 173.990073 \nL 301.806267 163.422358 \nL 310.076297 151.644919 \nL 318.078943 138.809932 \nL 325.554847 125.180805 \nL 332.21247 111.139289 \nL 337.743808 97.175813 \nL 341.846984 83.858501 \nL 344.254038 71.7807 \nL 344.759913 61.493321 \nL 343.248037 53.434635 \nL 339.706916 47.873456 \nL 334.234288 44.879692 \nL 327.027501 44.328915 \nL 318.362243 45.937652 \nL 308.5639 49.318554 \nL 297.977028 54.040774 \nL 286.937721 59.682901 \nL 275.752127 65.870868 \nL 264.68252 72.298772 \nL 253.940554 78.734809 \nL 234.032283 91.0412 \nL 216.768062 102.123321 \nL 209.198956 107.157137 \nL 202.32544 111.86644 \nL 196.116523 116.272845 \nL 190.530275 120.401298 \nL 185.517778 124.277078 \nL 181.026209 127.923972 \nL 177.001194 131.36327 \nL 173.388554 134.613314 \nL 167.191707 140.603922 \nL 162.044081 145.984267 \nL 153.574991 155.078055 \nL 149.716604 158.798654 \nL 147.785789 160.44155 \nL 145.823764 161.931485 \nL 143.810461 163.260633 \nL 141.727666 164.419654 \nL 139.558902 165.39767 \nL 137.289381 166.182222 \nL 134.906005 166.759235 \nL 132.397425 167.113037 \nL 129.754166 167.226403 \nL 126.968824 167.080677 \nL 124.036364 166.655973 \nL 120.954455 165.93152 \nL 117.723947 164.886181 \nL 114.349374 163.499097 \nL 110.839562 161.750642 \nL 107.208273 159.623594 \nL 103.474879 157.104558 \nL 99.665012 154.185695 \nL 95.81113 150.866682 \nL 91.952952 147.156819 \nL 88.137638 143.077146 \nL 84.41962 138.662406 \nL 80.860011 133.962576 \nL 77.52547 129.043677 \nL 74.486475 123.987605 \nL 71.814953 118.890619 \nL 69.58141 113.860429 \nL 67.851584 109.01181 \nL 66.682893 104.460989 \nL 66.120953 100.319207 \nL 66.196524 96.686178 \nL 66.923125 93.643998 \nL 68.295681 91.252432 \nL 70.290345 89.546021 \nL 72.865517 88.53332 \nL 75.963983 88.19831 \nL 79.515961 88.503638 \nL 83.442708 89.395089 \nL 87.660367 90.806831 \nL 92.083748 92.666566 \nL 96.629704 94.900254 \nL 101.219938 97.435978 \nL 105.78317 100.206836 \nL 110.256596 103.152758 \nL 114.586653 106.221481 \nL 118.729245 109.36876 \nL 122.649502 112.557997 \nL 126.321176 115.759606 \nL 129.725828 118.950096 \nL 132.851844 122.111125 \nL 135.69342 125.22857 \nL 138.24953 128.291676 \nL 140.522958 131.292272 \nL 142.519391 134.224157 \nL 144.246626 137.082547 \nL 145.713851 139.863643 \nL 146.931057 142.564288 \nL 147.908522 145.181688 \nL 148.656411 147.713202 \nL 149.184437 150.156142 \nL 149.501603 152.507655 \nL 149.616016 154.764574 \nL 149.534742 156.923322 \nL 149.263712 158.979794 \nL 148.807675 160.929242 \nL 148.170168 162.766195 \nL 147.353538 164.484317 \nL 146.358975 166.0763 \nL 145.186567 167.533741 \nL 143.835403 168.846986 \nL 142.303673 170.005012 \nL 140.588821 170.995275 \nL 138.687711 171.803576 \nL 136.596848 172.413945 \nL 134.31265 172.808508 \nL 134.31265 172.808508 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p54297b5f11\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:32:17.126869</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m55b7348034\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#m55b7348034\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#m55b7348034\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#m55b7348034\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#m55b7348034\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#m55b7348034\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#m55b7348034\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#m55b7348034\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m7cae61a058\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7cae61a058\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7cae61a058\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7cae61a058\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7cae61a058\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7cae61a058\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7cae61a058\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p9c48bc703e)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9c48bc703e\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     },
@@ -124,8 +124,8 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.962214pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.962214\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T12:10:37.570474</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.962214 \nL 292.718955 286.962214 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 36.982889 210.861932 \nL 124.350687 136.703329 \nL 123.517247 30.226866 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.89286 216.711328 \nL 141.302151 141.630451 \nL 141.192499 34.707027 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 73.035938 222.636857 \nL 158.455946 146.616381 \nL 159.087847 39.242976 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 91.416703 228.640015 \nL 175.815714 151.662181 \nL 177.20743 43.835762 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 110.039856 234.722337 \nL 193.385189 156.768933 \nL 195.555488 48.48646 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 128.910225 240.8854 \nL 211.168192 161.93775 \nL 214.13637 53.196172 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 148.032765 247.130821 \nL 229.168642 167.16977 \nL 232.954536 57.966029 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.412565 253.460263 \nL 247.39055 172.46616 \nL 252.014561 62.797189 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 37.743697 210.216151 \nL 35.458008 212.156265 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −15 -->\n     <g transform=\"translate(18.902125 234.175476)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 55.645717 216.057172 \nL 53.383895 218.022466 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(36.830262 240.148751)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 73.780571 221.974163 \nL 71.543434 223.965128 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- −5 -->\n     <g transform=\"translate(58.17387 246.200064)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 92.152832 227.968614 \nL 89.941223 229.985757 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 0 -->\n     <g transform=\"translate(80.764914 252.330954)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 110.767192 234.042056 \nL 108.581981 236.085897 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 5 -->\n     <g transform=\"translate(99.409698 258.543001)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 129.628468 240.196061 \nL 127.470555 242.267133 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 10 -->\n     <g transform=\"translate(115.121686 264.837827)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 148.741607 246.432243 \nL 146.611918 248.531095 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 15 -->\n     <g transform=\"translate(134.268377 271.217099)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_9\">\n     <path d=\"M 168.111686 252.75226 \nL 166.01118 254.879453 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 20 -->\n     <g transform=\"translate(153.673656 277.682526)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_10\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 26.53434 91.59437 \nL 31.732176 203.976548 \nL 180.803284 252.384388 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 44.860415 78.220835 \nL 49.174878 189.355729 \nL 196.614047 236.158656 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 62.572853 65.295104 \nL 66.058571 175.203483 \nL 211.891701 220.480024 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 79.701969 52.795056 \nL 82.409703 161.49764 \nL 226.662764 205.321281 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.27611 40.700002 \nL 98.253081 148.217406 \nL 240.95202 190.656988 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 179.546956 251.976421 \nL 183.319195 253.201379 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- −20 -->\n     <g transform=\"translate(183.151229 273.428419)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 195.372553 235.764558 \nL 199.100195 236.947856 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- −10 -->\n     <g transform=\"translate(198.749965 256.962421)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 210.664764 220.099099 \nL 214.348646 221.242827 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 0 -->\n     <g transform=\"translate(221.19353 241.051945)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_14\">\n     <path d=\"M 225.450108 204.95288 \nL 229.091059 206.058989 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 10 -->\n     <g transform=\"translate(232.584679 225.669347)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_15\">\n     <path d=\"M 239.753375 190.300504 \nL 243.352213 191.370821 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 20 -->\n     <g transform=\"translate(246.681485 210.788782)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_16\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_18\">\n    <g id=\"line2d_21\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_22\">\n    <path clip-path=\"url(#p0b1d8ffffd)\" d=\"M 132.29172 193.63241 \nL 132.628187 192.729588 \nL 133.284041 192.011077 \nL 134.259365 191.369064 \nL 136.396237 190.370476 \nL 153.097684 183.415468 \nL 159.349355 180.399899 \nL 167.045443 176.311141 \nL 171.495968 173.749934 \nL 176.370276 170.773041 \nL 181.672518 167.322692 \nL 187.390959 163.340722 \nL 193.491506 158.773271 \nL 199.909934 153.577946 \nL 206.543143 147.733954 \nL 213.240241 141.255466 \nL 219.795022 134.207738 \nL 225.942182 126.724334 \nL 231.360583 119.022058 \nL 235.687271 111.408035 \nL 238.545319 104.271949 \nL 239.586272 98.056705 \nL 238.543359 93.204687 \nL 235.285588 90.084966 \nL 229.858083 88.917405 \nL 222.493342 89.717225 \nL 213.585128 92.282133 \nL 203.629238 96.230441 \nL 193.14772 101.078932 \nL 182.6183 106.333997 \nL 162.842951 116.464484 \nL 154.032705 120.82792 \nL 146.068801 124.570723 \nL 138.958965 127.686134 \nL 132.667826 130.219807 \nL 127.13518 132.245362 \nL 122.289069 133.846515 \nL 114.357641 136.096636 \nL 108.309916 137.517933 \nL 93.758242 140.695031 \nL 89.282016 141.794015 \nL 86.886674 142.150095 \nL 85.336098 142.205574 \nL 83.817342 142.088993 \nL 82.344338 141.78405 \nL 80.944263 141.282329 \nL 79.654497 140.585219 \nL 78.519077 139.705631 \nL 77.584482 138.669221 \nL 76.894823 137.514636 \nL 76.486739 136.292419 \nL 76.384556 135.062257 \nL 76.596447 133.888668 \nL 77.112246 132.835519 \nL 77.903405 131.960214 \nL 78.925105 131.308454 \nL 80.120219 130.910538 \nL 81.424344 130.77965 \nL 82.771086 130.9123 \nL 84.096785 131.290504 \nL 85.344155 131.885074 \nL 86.464615 132.659321 \nL 87.419354 133.572516 \nL 88.179358 134.582765 \nL 88.724745 135.649083 \nL 89.04373 136.732674 \nL 89.131504 137.79753 \nL 88.989237 138.810562 \nL 88.623348 139.741399 \nL 88.045109 140.56208 \nL 87.270591 141.246772 \nL 86.32094 141.77166 \nL 85.222842 142.115151 \nL 84.009106 142.258462 \nL 82.719132 142.186674 \nL 81.399037 141.89027 \nL 80.101184 141.367073 \nL 78.882829 140.624436 \nL 77.803683 139.681278 \nL 76.922362 138.569581 \nL 76.291873 137.334741 \nL 75.954593 136.03433 \nL 75.937506 134.734937 \nL 76.248522 133.507253 \nL 76.874686 132.419942 \nL 77.782788 131.533253 \nL 78.922292 130.893528 \nL 80.230169 130.529546 \nL 81.636718 130.451227 \nL 83.071361 130.650684 \nL 84.467645 131.105069 \nL 85.766902 131.780476 \nL 86.92037 132.636048 \nL 87.889974 133.627698 \nL 88.648036 134.711012 \nL 89.176321 135.843249 \nL 89.464774 136.984471 \nL 89.510252 138.097971 \nL 89.315459 139.150209 \nL 88.888205 140.11047 \nL 88.24107 140.950424 \nL 87.391443 141.643768 \nL 86.361916 142.166108 \nL 85.180911 142.495167 \nL 83.883384 142.611455 \nL 82.511416 142.499486 \nL 81.114397 142.149512 \nL 79.748515 141.559748 \nL 78.475232 140.738832 \nL 77.358524 139.708127 \nL 76.460871 138.503353 \nL 75.838142 137.17488 \nL 75.534044 135.786177 \nL 75.574881 134.410058 \nL 75.965721 133.122991 \nL 76.688781 131.99815 \nL 77.704533 131.098361 \nL 78.955442 130.470279 \nL 80.371613 130.140809 \nL 81.877343 130.116236 \nL 83.397434 130.383948 \nL 84.86241 130.916006 \nL 86.212082 131.673631 \nL 87.397463 132.611769 \nL 88.381189 133.682989 \nL 89.136892 134.840427 \nL 89.647932 136.039683 \nL 89.905909 137.23977 \nL 89.909244 138.403337 \nL 89.662042 139.496438 \nL 89.173368 140.488008 \nL 88.456958 141.349329 \nL 87.531368 142.053574 \nL 86.420508 142.575636 \nL 85.154426 142.892409 \nL 83.770177 142.983502 \nL 82.31254 142.832638 \nL 80.834293 142.429612 \nL 79.39565 141.772823 \nL 78.062592 140.872043 \nL 76.90375 139.751041 \nL 75.985871 138.449376 \nL 75.368088 137.022669 \nL 75.095699 135.540677 \nL 75.194448 134.082925 \nL 75.666488 132.732129 \nL 76.488959 131.566322 \nL 77.615668 130.651106 \nL 78.981686 130.033453 \nL 80.509917 129.738244 \nL 82.118434 129.767893 \nL 83.727298 130.104805 \nL 85.263966 130.715731 \nL 86.666781 131.556894 \nL 87.886594 132.578968 \nL 88.886832 133.731192 \nL 89.642476 134.964295 \nL 90.138495 136.232277 \nL 90.368117 137.493163 \nL 90.331258 138.709035 \nL 90.033333 139.845565 \nL 89.48453 140.871363 \nL 88.699587 141.757272 \nL 87.69807 142.475867 \nL 86.505045 143.001241 \nL 85.152052 143.309261 \nL 83.678147 143.378427 \nL 82.130785 143.191384 \nL 80.566202 142.737175 \nL 79.048846 142.014068 \nL 77.649544 141.03273 \nL 76.442032 139.819195 \nL 75.49785 138.416889 \nL 74.879912 136.886884 \nL 74.635554 135.305634 \nL 74.790241 133.759908 \nL 75.343272 132.339233 \nL 76.266549 131.12702 \nL 77.506925 130.191988 \nL 78.991698 129.581575 \nL 80.636188 129.3186 \nL 82.351929 129.40145 \nL 84.054037 129.807344 \nL 85.66679 130.49751 \nL 87.127024 131.423024 \nL 88.38543 132.530203 \nL 89.406231 133.764919 \nL 90.165767 135.075506 \nL 90.650601 136.414404 \nL 90.855534 137.738697 \nL 90.781901 139.009926 \nL 90.436307 140.193419 \nL 89.829909 141.257449 \nL 88.978277 142.172413 \nL 87.901784 142.910222 \nL 86.626446 143.444025 \nL 85.185084 143.748502 \nL 83.618592 143.800764 \nL 81.977013 143.582063 \nL 80.320047 143.080281 \nL 78.716541 142.293151 \nL 77.242506 141.231839 \nL 75.977294 139.924344 \nL 74.997886 138.417839 \nL 74.371692 136.778978 \nL 74.148753 135.091303 \nL 74.354755 133.449415 \nL 74.618769 132.676152 \nL 74.986407 131.950383 \nL 75.452562 131.282971 \nL 76.010398 130.683694 \nL 76.651553 130.160988 \nL 78.144147 129.371193 \nL 79.842405 128.94831 \nL 81.651164 128.899589 \nL 83.476761 129.207445 \nL 85.233975 129.834748 \nL 86.850571 130.731321 \nL 88.269362 131.840297 \nL 89.448227 133.103332 \nL 90.358748 134.464322 \nL 90.984095 135.871547 \nL 91.316738 137.278536 \nL 91.356369 138.643967 \nL 91.108276 139.930973 \nL 90.582322 141.106164 \nL 89.792556 142.138593 \nL 88.757439 142.998883 \nL 87.500626 143.65869 \nL 86.052195 144.090633 \nL 84.4501 144.268898 \nL 82.741652 144.170648 \nL 80.984577 143.778329 \nL 79.247231 143.082869 \nL 77.607427 142.087602 \nL 76.149347 140.812357 \nL 74.958289 139.296944 \nL 74.113372 137.602904 \nL 73.678956 135.812413 \nL 73.629633 134.911236 \nL 73.696113 134.023554 \nL 73.878791 133.162746 \nL 74.175955 132.341993 \nL 74.583799 131.573908 \nL 75.096486 130.870184 \nL 75.706323 130.241259 \nL 76.403961 129.696055 \nL 77.17868 129.241751 \nL 78.018689 128.883648 \nL 79.84403 128.467571 \nL 81.776674 128.452201 \nL 83.71624 128.815093 \nL 85.572693 129.513324 \nL 87.270942 130.490897 \nL 88.752638 131.685767 \nL 89.975794 133.035424 \nL 90.912959 134.480688 \nL 91.548689 135.967781 \nL 91.876935 137.448962 \nL 91.898727 138.882206 \nL 91.620438 140.230252 \nL 91.052699 141.459425 \nL 90.210052 142.538421 \nL 89.111262 143.437261 \nL 87.780257 144.126649 \nL 86.247547 144.577853 \nL 84.551957 144.763269 \nL 82.742365 144.657925 \nL 80.879066 144.24197 \nL 79.03422 143.504207 \nL 77.290775 142.446501 \nL 75.73925 141.088487 \nL 74.472036 139.471676 \nL 73.575322 137.661654 \nL 73.288777 136.711117 \nL 73.119454 135.747121 \nL 73.072082 134.78351 \nL 73.149293 133.834695 \nL 73.351463 132.915271 \nL 73.676634 132.039614 \nL 74.120538 131.221455 \nL 74.67667 130.473482 \nL 75.336486 129.806969 \nL 76.089649 129.231475 \nL 76.924342 128.754611 \nL 77.827615 128.381876 \nL 78.785762 128.11662 \nL 80.810267 127.911414 \nL 82.886636 128.125624 \nL 84.912355 128.720218 \nL 86.799993 129.638684 \nL 88.480284 130.815327 \nL 89.902402 132.182259 \nL 91.032275 133.67438 \nL 91.849856 135.232285 \nL 92.346072 136.80342 \nL 92.52002 138.341952 \nL 92.376705 139.807824 \nL 91.925516 141.165428 \nL 91.179485 142.38214 \nL 90.155309 143.426996 \nL 88.874105 144.269663 \nL 87.36278 144.879906 \nL 85.655884 145.22771 \nL 83.797688 145.284255 \nL 81.844143 145.024003 \nL 79.864231 144.427928 \nL 77.940005 143.487953 \nL 76.164647 142.212216 \nL 74.637867 140.630361 \nL 73.998848 139.740841 \nL 73.458402 138.797637 \nL 73.027069 137.811875 \nL 72.714006 136.796232 \nL 72.526623 135.764702 \nL 72.470289 134.732329 \nL 72.548058 133.714826 \nL 72.760498 132.728157 \nL 73.105598 131.788079 \nL 73.578763 130.909655 \nL 74.172937 130.106808 \nL 74.878789 129.391887 \nL 75.685003 128.775323 \nL 76.578646 128.265366 \nL 77.545545 127.867917 \nL 78.570735 127.586471 \nL 79.63886 127.422164 \nL 80.734584 127.373891 \nL 82.949633 127.611193 \nL 85.105733 128.254032 \nL 87.109999 129.239562 \nL 88.889909 130.495811 \nL 90.393237 131.949405 \nL 91.585882 133.530907 \nL 92.44862 135.177784 \nL 92.973601 136.835437 \nL 93.161182 138.456822 \nL 93.017419 140.001265 \nL 92.552395 141.43285 \nL 91.779409 142.718735 \nL 90.715017 143.827607 \nL 89.379873 144.728456 \nL 87.80026 145.389872 \nL 86.010181 145.780028 \nL 84.053775 145.867562 \nL 81.987693 145.623675 \nL 79.882893 145.025523 \nL 77.825151 144.061041 \nL 75.913429 142.734818 \nL 74.255288 141.074335 \nL 73.555393 140.134891 \nL 72.958964 139.135043 \nL 72.477827 138.086464 \nL 72.122366 137.002599 \nL 71.901128 135.898469 \nL 71.820448 134.790336 \nL 71.884145 133.695317 \nL 72.093302 132.630918 \nL 72.446136 131.614497 \nL 72.937986 130.66273 \nL 73.561417 129.791081 \nL 74.30645 129.013298 \nL 75.160867 128.341024 \nL 76.110618 127.783475 \nL 77.140265 127.347246 \nL 78.233484 127.036237 \nL 79.373519 126.851703 \nL 80.543645 126.792407 \nL 81.727579 126.854855 \nL 84.075916 127.3216 \nL 86.308321 128.191197 \nL 88.336273 129.388335 \nL 90.094254 130.83294 \nL 91.538083 132.447475 \nL 92.641526 134.161368 \nL 93.392285 135.912954 \nL 93.788125 137.64958 \nL 93.833642 139.326477 \nL 93.537902 140.905057 \nL 92.913035 142.350943 \nL 91.973789 143.632079 \nL 90.73798 144.717095 \nL 89.227786 145.574085 \nL 87.471749 146.169994 \nL 85.507354 146.470834 \nL 83.383874 146.442993 \nL 81.165074 146.055915 \nL 78.931086 145.28639 \nL 76.778562 144.124421 \nL 75.767022 143.39847 \nL 74.818151 142.580216 \nL 73.946956 141.675249 \nL 73.168335 140.691231 \nL 72.49666 139.637975 \nL 71.945352 138.527451 \nL 71.526398 137.373697 \nL 71.249902 136.192616 \nL 71.123623 135.001665 \nL 71.152627 133.81943 \nL 71.338976 132.6651 \nL 71.681555 131.557894 \nL 72.176031 130.516433 \nL 72.814928 129.55811 \nL 73.587852 128.698538 \nL 74.481846 127.951027 \nL 75.481816 127.32623 \nL 76.571048 126.831874 \nL 77.731756 126.472667 \nL 78.94563 126.250327 \nL 80.19435 126.163745 \nL 81.46007 126.209262 \nL 82.725804 126.381007 \nL 83.975747 126.67129 \nL 86.372242 127.570074 \nL 88.553453 128.823066 \nL 90.449005 130.342768 \nL 92.012225 132.045025 \nL 93.216168 133.853983 \nL 94.048962 135.704148 \nL 94.509366 137.54034 \nL 94.603076 139.316363 \nL 94.340017 140.992949 \nL 93.732709 142.535534 \nL 92.795664 143.912058 \nL 91.545793 145.091056 \nL 90.00372 146.040168 \nL 88.195909 146.725229 \nL 86.157496 147.110187 \nL 83.935542 147.158145 \nL 81.592335 146.833826 \nL 79.208032 146.107863 \nL 76.881725 144.962943 \nL 75.776118 144.233158 \nL 74.729731 143.401592 \nL 73.758876 142.473037 \nL 72.879994 141.45452 \nL 72.109223 140.355448 \nL 71.461905 139.187681 \nL 70.95207 137.965487 \nL 70.591896 136.705384 \nL 70.391183 135.425845 \nL 70.356873 134.146871 \nL 70.492683 132.889435 \nL 70.798829 131.674839 \nL 71.271916 130.524012 \nL 71.904963 129.456776 \nL 72.687617 128.49117 \nL 73.606497 127.642826 \nL 74.64566 126.924485 \nL 75.787175 126.345665 \nL 77.01175 125.912483 \nL 78.299354 125.627661 \nL 79.629833 125.490675 \nL 80.983461 125.498044 \nL 82.341418 125.643715 \nL 83.68616 125.919508 \nL 85.001711 126.315588 \nL 86.273831 126.820951 \nL 88.639988 128.112227 \nL 90.707092 129.697325 \nL 92.424293 131.484086 \nL 93.762835 133.389988 \nL 94.71067 135.344527 \nL 95.267325 137.289124 \nL 95.439594 139.175545 \nL 95.238383 140.96356 \nL 94.676717 142.618357 \nL 93.768912 144.10803 \nL 92.530821 145.401359 \nL 90.981099 146.465991 \nL 89.143371 147.267156 \nL 87.049234 147.767196 \nL 84.74189 147.92617 \nL 82.280053 147.703906 \nL 79.741495 147.064013 \nL 78.473556 146.578592 \nL 77.225277 145.980059 \nL 76.012312 145.268039 \nL 74.851384 144.443908 \nL 73.760031 143.511095 \nL 72.756261 142.475383 \nL 71.858127 141.345139 \nL 71.083202 140.131467 \nL 70.448008 138.84826 \nL 69.967397 137.512114 \nL 69.653929 136.142091 \nL 69.517283 134.759341 \nL 69.563745 133.386524 \nL 69.795817 132.047151 \nL 70.211977 130.764784 \nL 70.806613 129.562197 \nL 71.570167 128.460551 \nL 72.489441 127.478627 \nL 73.548085 126.632181 \nL 74.727207 125.933458 \nL 76.00607 125.390905 \nL 77.362819 125.009094 \nL 78.77521 124.788819 \nL 80.221274 124.727384 \nL 81.679892 124.819006 \nL 83.131285 125.055321 \nL 84.557357 125.425935 \nL 85.941942 125.91898 \nL 87.270932 126.52163 \nL 89.716064 128.002533 \nL 91.82035 129.763515 \nL 93.539552 131.70733 \nL 94.851703 133.749574 \nL 95.750852 135.82003 \nL 96.241448 137.861684 \nL 96.33389 139.828385 \nL 96.041381 141.68199 \nL 95.378105 143.3894 \nL 94.358625 144.919829 \nL 92.998425 146.242374 \nL 91.315498 147.324041 \nL 89.332937 148.128412 \nL 87.082425 148.61509 \nL 84.60845 148.740357 \nL 81.972867 148.459488 \nL 80.61961 148.153563 \nL 79.259099 147.731275 \nL 77.905584 147.189196 \nL 76.574856 146.525145 \nL 75.284132 145.738558 \nL 74.051858 144.830848 \nL 72.897421 143.805789 \nL 71.840738 142.669833 \nL 70.90175 141.432397 \nL 70.099815 140.106038 \nL 69.453038 138.706502 \nL 68.97754 137.252614 \nL 68.686743 135.765977 \nL 68.590691 134.270486 \nL 68.695482 132.791655 \nL 69.002834 131.355782 \nL 69.50986 129.989019 \nL 70.209061 128.716373 \nL 71.088534 127.560764 \nL 72.132408 126.542137 \nL 73.321458 125.676779 \nL 74.633862 124.976829 \nL 76.046039 124.450016 \nL 77.533492 124.099671 \nL 79.071636 123.924915 \nL 80.636528 123.921089 \nL 82.205487 124.080272 \nL 83.757586 124.391918 \nL 85.273976 124.843493 \nL 86.738108 125.421135 \nL 88.135803 126.110231 \nL 89.455241 126.895938 \nL 91.823116 128.69911 \nL 93.788886 130.72121 \nL 95.326052 132.867189 \nL 96.427154 135.05854 \nL 97.097055 137.232431 \nL 97.347517 139.339144 \nL 97.193278 141.338808 \nL 96.649589 143.198023 \nL 95.731138 144.886679 \nL 94.452201 146.375124 \nL 92.82795 147.631757 \nL 90.876837 148.621153 \nL 88.624036 149.302884 \nL 86.105854 149.631357 \nL 83.374843 149.557158 \nL 81.951716 149.353372 \nL 80.505141 149.030535 \nL 79.048507 148.583403 \nL 77.597008 148.007669 \nL 76.167631 147.30034 \nL 74.77906 146.460147 \nL 73.451459 145.487977 \nL 72.206166 144.387324 \nL 71.065246 143.164686 \nL 70.050907 141.829924 \nL 69.18482 140.396492 \nL 68.487328 138.881524 \nL 67.976605 137.305728 \nL 67.667803 135.693068 \nL 67.572253 134.070195 \nL 67.69679 132.465674 \nL 68.04325 130.908997 \nL 68.6082 129.42948 \nL 69.382937 128.055094 \nL 70.353756 126.811331 \nL 71.50249 125.720201 \nL 72.807239 124.799423 \nL 74.243286 124.06188 \nL 75.784078 123.515366 \nL 77.402236 123.162624 \nL 79.070483 123.001661 \nL 80.762491 123.02625 \nL 82.453561 123.22662 \nL 84.121134 123.590188 \nL 85.74514 124.102349 \nL 87.3082 124.747216 \nL 88.795648 125.508288 \nL 90.195478 126.369022 \nL 91.498187 127.313292 \nL 92.696558 128.325746 \nL 94.76127 130.498982 \nL 96.367499 132.788264 \nL 97.512663 135.11254 \nL 98.206185 137.408487 \nL 98.463566 139.627207 \nL 98.302186 141.730365 \nL 97.738747 143.686375 \nL 96.788175 145.466864 \nL 95.463821 147.043584 \nL 93.778858 148.385742 \nL 91.748835 149.457837 \nL 89.395373 150.218155 \nL 86.750998 150.618214 \nL 85.334274 150.666345 \nL 83.864928 150.603739 \nL 82.352757 150.423223 \nL 80.809372 150.117824 \nL 79.248353 149.681051 \nL 77.685348 149.10724 \nL 76.138107 148.391965 \nL 74.626424 147.5325 \nL 73.171964 146.528333 \nL 71.797971 145.3817 \nL 70.528803 144.098088 \nL 69.38933 142.6867 \nL 68.404179 141.160814 \nL 67.596841 139.537967 \nL 66.988695 137.839937 \nL 66.597994 136.092461 \nL 66.438888 134.32467 \nL 66.520571 132.568245 \nL 66.846608 130.856307 \nL 67.414544 129.222141 \nL 68.215831 127.697807 \nL 69.236065 126.312765 \nL 70.455577 125.092635 \nL 71.850276 124.058179 \nL 73.392698 123.224619 \nL 75.053174 122.601277 \nL 76.801022 122.191597 \nL 78.605664 121.993497 \nL 80.437616 121.999979 \nL 82.269299 122.199926 \nL 84.075644 122.579013 \nL 85.834489 123.120618 \nL 87.526777 123.806721 \nL 89.136599 124.618691 \nL 90.651095 125.537954 \nL 92.060251 126.54652 \nL 93.356632 127.627375 \nL 94.535075 128.764755 \nL 96.526894 131.153088 \nL 98.027553 133.614038 \nL 99.045483 136.072078 \nL 99.597982 138.470235 \nL 99.705514 140.765682 \nL 99.387955 142.925274 \nL 98.662528 144.921393 \nL 97.543216 146.728275 \nL 96.041466 148.318807 \nL 94.168085 149.661788 \nL 91.936362 150.719639 \nL 89.366457 151.446796 \nL 87.964231 151.669769 \nL 86.491057 151.789133 \nL 84.954104 151.796966 \nL 83.36222 151.685081 \nL 81.726165 151.445229 \nL 80.058832 151.069367 \nL 78.375424 150.549989 \nL 76.693563 149.880552 \nL 75.033342 149.055969 \nL 73.417238 148.073179 \nL 71.869892 146.931767 \nL 70.417727 145.634609 \nL 69.088378 144.188492 \nL 67.909928 142.604641 \nL 66.909968 140.899131 \nL 66.114496 139.093071 \nL 65.546727 137.212492 \nL 65.225882 135.287923 \nL 65.16605 133.353601 \nL 65.375239 131.446353 \nL 65.854679 129.604153 \nL 66.598515 127.864509 \nL 67.593878 126.262785 \nL 68.821381 124.830592 \nL 70.255979 123.594405 \nL 71.868128 122.574526 \nL 73.62515 121.784468 \nL 75.492645 121.230802 \nL 77.43589 120.913398 \nL 79.421078 120.826083 \nL 81.416374 120.957525 \nL 83.392707 121.292331 \nL 85.3243 121.812129 \nL 87.188978 122.49668 \nL 88.96824 123.32487 \nL 90.647173 124.275536 \nL 92.214217 125.328143 \nL 93.660865 126.463283 \nL 94.981283 127.663011 \nL 96.171933 128.911042 \nL 97.231176 130.192831 \nL 98.158903 131.495571 \nL 99.625016 134.120842 \nL 100.587909 136.715187 \nL 101.071615 139.226499 \nL 101.100942 141.616902 \nL 100.697951 143.857747 \nL 100.340015 144.914551 \nL 99.880196 145.925176 \nL 99.319937 146.886755 \nL 98.660433 147.796276 \nL 97.902684 148.650473 \nL 97.047587 149.445748 \nL 96.096016 150.178086 \nL 95.048952 150.842978 \nL 93.907614 151.43535 \nL 92.67363 151.949513 \nL 91.349212 152.379115 \nL 89.937376 152.71712 \nL 88.442174 152.955811 \nL 86.868949 153.086824 \nL 85.224613 153.101229 \nL 83.51793 152.989664 \nL 81.759812 152.74254 \nL 79.963578 152.350315 \nL 78.145207 151.803873 \nL 76.323509 151.094999 \nL 74.520207 150.216936 \nL 72.759907 149.16506 \nL 71.069889 147.93762 \nL 69.479699 146.536525 \nL 68.020543 144.968119 \nL 66.724396 143.243879 \nL 65.622913 141.380962 \nL 64.746124 139.402493 \nL 64.121004 137.337505 \nL 63.769985 135.220485 \nL 63.709572 133.090466 \nL 63.949154 130.989663 \nL 64.490156 128.961755 \nL 65.325651 127.049902 \nL 66.440466 125.29466 \nL 67.811811 123.732048 \nL 69.410371 122.391858 \nL 71.201754 121.296424 \nL 73.148161 120.45996 \nL 75.210126 119.888429 \nL 77.348175 119.579995 \nL 79.524291 119.525853 \nL 81.703101 119.711434 \nL 83.852748 120.117746 \nL 85.945434 120.722725 \nL 87.957674 121.502568 \nL 89.870298 122.432866 \nL 91.66827 123.489564 \nL 93.340348 124.649674 \nL 94.878669 125.891799 \nL 96.278291 127.196447 \nL 97.536715 128.5462 \nL 98.653426 129.925749 \nL 99.629465 131.321818 \nL 100.467045 132.723053 \nL 101.1692 134.119832 \nL 102.181815 136.8691 \nL 102.698129 139.519991 \nL 102.747965 142.038134 \nL 102.606069 143.239461 \nL 102.356529 144.398809 \nL 102.001488 145.513811 \nL 101.542663 146.582135 \nL 100.981372 147.601391 \nL 100.318563 148.569002 \nL 99.554883 149.482125 \nL 98.690747 150.337548 \nL 97.726436 151.131587 \nL 96.662212 151.860011 \nL 95.498454 152.517956 \nL 94.235828 153.09985 \nL 92.875468 153.599349 \nL 91.419204 154.009275 \nL 89.869806 154.321604 \nL 88.231264 154.527445 \nL 86.509101 154.617098 \nL 84.710699 154.580129 \nL 82.845656 154.405542 \nL 80.92613 154.082012 \nL 78.967181 153.59823 \nL 76.987061 152.943362 \nL 75.007433 152.107641 \nL 73.053475 151.083072 \nL 71.153809 149.864277 \nL 69.340239 148.449432 \nL 67.647206 146.841241 \nL 66.110968 145.04792 \nL 64.768472 143.084032 \nL 63.655917 140.971113 \nL 62.807105 138.737954 \nL 62.25162 136.420383 \nL 62.013016 134.060535 \nL 62.107172 131.705504 \nL 62.540974 129.405466 \nL 63.311493 127.21136 \nL 64.405796 125.17234 \nL 65.801414 123.333203 \nL 67.467432 121.732115 \nL 69.366134 120.398808 \nL 71.454988 119.353431 \nL 73.688776 118.606144 \nL 76.02173 118.157442 \nL 78.409405 117.999082 \nL 80.810248 118.115465 \nL 83.18676 118.485299 \nL 85.506228 119.083293 \nL 87.741103 119.881867 \nL 89.869023 120.852578 \nL 91.872587 121.967351 \nL 93.738961 123.199399 \nL 95.459356 124.523888 \nL 97.028462 125.91832 \nL 98.443862 127.362738 \nL 99.705474 128.83976 \nL 100.815027 130.334484 \nL 101.775596 131.834319 \nL 102.591191 133.328762 \nL 103.266411 134.809167 \nL 103.806154 136.268481 \nL 104.215374 137.701011 \nL 104.498891 139.102182 \nL 104.661248 140.468326 \nL 104.706589 141.796492 \nL 104.638593 143.084261 \nL 104.460412 144.329596 \nL 104.174646 145.530689 \nL 103.783336 146.685832 \nL 103.287977 147.793307 \nL 102.689546 148.851256 \nL 101.988546 149.857588 \nL 101.185073 150.809869 \nL 100.278885 151.705233 \nL 99.269511 152.54027 \nL 98.156362 153.310941 \nL 96.938873 154.012478 \nL 95.616677 154.639291 \nL 94.189796 155.184879 \nL 92.658882 155.641759 \nL 91.025478 156.001397 \nL 89.292333 156.254187 \nL 87.463744 156.389431 \nL 85.545947 156.395413 \nL 83.54753 156.259508 \nL 81.479872 155.968402 \nL 79.357585 155.508413 \nL 77.198924 154.865955 \nL 75.02614 154.028153 \nL 72.865714 152.983633 \nL 70.748434 151.723486 \nL 68.70924 150.242387 \nL 66.786741 148.539827 \nL 65.022413 146.621372 \nL 63.459374 144.499871 \nL 62.14076 142.196428 \nL 61.107754 139.741008 \nL 60.397353 137.172472 \nL 60.040047 134.537937 \nL 60.057621 131.89136 \nL 60.461316 129.291362 \nL 61.250608 126.798402 \nL 62.412738 124.471562 \nL 63.923131 122.36524 \nL 65.746664 120.526123 \nL 67.83966 118.990734 \nL 70.15239 117.783903 \nL 72.631774 116.918115 \nL 75.224094 116.393933 \nL 77.877359 116.201146 \nL 80.543275 116.320591 \nL 83.178646 116.726272 \nL 85.746257 117.387593 \nL 88.215234 118.271439 \nL 90.561014 119.344036 \nL 92.764986 120.572402 \nL 94.813932 121.925451 \nL 96.699348 123.374728 \nL 98.416708 124.894817 \nL 99.964744 126.463511 \nL 101.344753 128.061775 \nL 102.559984 129.673576 \nL 103.615086 131.28563 \nL 104.515638 132.887111 \nL 105.267756 134.469321 \nL 105.877766 136.025383 \nL 106.351947 137.549944 \nL 106.696324 139.038903 \nL 106.916507 140.489164 \nL 107.017577 141.898407 \nL 107.004007 143.264904 \nL 106.879604 144.587346 \nL 106.64748 145.86469 \nL 106.310048 147.096016 \nL 105.869023 148.280417 \nL 105.325453 149.416884 \nL 104.67975 150.504195 \nL 103.931745 151.540815 \nL 103.080751 152.524797 \nL 102.125642 153.453682 \nL 101.064953 154.324402 \nL 99.896996 155.133163 \nL 98.620002 155.875346 \nL 97.232289 156.545388 \nL 95.73247 157.13668 \nL 94.119681 157.641446 \nL 92.393887 158.050659 \nL 90.5562 158.353951 \nL 88.609274 158.539567 \nL 86.557746 158.594367 \nL 84.408726 158.503885 \nL 82.172347 158.252487 \nL 79.862314 157.823666 \nL 77.496482 157.200473 \nL 75.097383 156.366152 \nL 72.69265 155.304995 \nL 70.315301 154.003425 \nL 68.003751 152.451335 \nL 65.801487 150.643617 \nL 63.756303 148.581823 \nL 61.919038 146.275845 \nL 60.341742 143.74541 \nL 59.075318 141.021179 \nL 58.166741 138.14522 \nL 57.656028 135.170597 \nL 57.573262 132.159921 \nL 57.935983 129.182838 \nL 58.74729 126.312529 \nL 59.994972 123.621564 \nL 61.651796 121.177489 \nL 63.676989 119.038672 \nL 66.018765 117.250961 \nL 68.617546 115.845439 \nL 71.409545 114.837524 \nL 74.330289 114.227461 \nL 77.317726 114.001908 \nL 80.314725 114.136375 \nL 83.270818 114.598084 \nL 86.143215 115.348907 \nL 88.897136 116.348132 \nL 91.505639 117.554752 \nL 93.949047 118.929318 \nL 96.214136 120.435207 \nL 98.29322 122.039437 \nL 100.183185 123.713064 \nL 101.884576 125.431266 \nL 103.400749 127.173189 \nL 104.73712 128.921657 \nL 105.900529 130.662793 \nL 106.898693 132.385598 \nL 107.739766 134.081533 \nL 108.431985 135.74413 \nL 108.983384 137.368618 \nL 109.693612 140.490788 \nL 109.923799 143.432541 \nL 109.715167 146.188722 \nL 109.095514 148.759041 \nL 108.079194 151.143946 \nL 106.667907 153.341294 \nL 105.811561 154.367523 \nL 104.852126 155.343372 \nL 103.786998 156.266509 \nL 102.613175 157.133853 \nL 101.327384 157.94147 \nL 99.926222 158.684426 \nL 98.406341 159.356661 \nL 96.764664 159.950846 \nL 94.998656 160.458225 \nL 93.106649 160.868484 \nL 91.08823 161.169614 \nL 88.944705 161.347796 \nL 86.679637 161.38736 \nL 84.299467 161.270803 \nL 81.814209 160.978914 \nL 79.23819 160.49106 \nL 76.590833 159.785676 \nL 73.897406 158.840999 \nL 71.18967 157.636112 \nL 68.506354 156.152334 \nL 65.893296 154.374967 \nL 63.403135 152.295362 \nL 61.094411 149.913205 \nL 59.029918 147.238892 \nL 57.274301 144.295671 \nL 55.890846 141.121258 \nL 54.937642 137.768539 \nL 54.463418 134.304988 \nL 54.503454 130.810558 \nL 55.076105 127.373987 \nL 56.180435 124.087737 \nL 57.795401 121.04203 \nL 59.880776 118.318737 \nL 62.379733 115.985833 \nL 65.222809 114.093254 \nL 68.332655 112.670561 \nL 71.629 111.726619 \nL 75.033247 111.251151 \nL 78.472266 111.217722 \nL 81.881128 111.587602 \nL 85.204754 112.313901 \nL 88.398555 113.345528 \nL 91.42828 114.630556 \nL 94.269265 116.11893 \nL 96.905336 117.764295 \nL 99.327527 119.525191 \nL 101.532783 121.365585 \nL 103.522708 123.254968 \nL 105.302435 125.168098 \nL 106.879648 127.084566 \nL 108.263751 128.988241 \nL 109.465182 130.866674 \nL 110.494862 132.71052 \nL 111.363763 134.513012 \nL 112.661431 137.976862 \nL 113.43616 141.238662 \nL 113.752697 144.295375 \nL 113.660269 147.153025 \nL 113.192077 149.821595 \nL 112.365746 152.31149 \nL 111.18427 154.630881 \nL 109.637188 156.783475 \nL 107.701943 158.76624 \nL 105.345558 160.566725 \nL 103.996842 161.391326 \nL 102.526998 162.159645 \nL 100.930235 162.865781 \nL 99.200827 163.502406 \nL 97.333368 164.060553 \nL 95.323099 164.52941 \nL 93.166303 164.896079 \nL 90.860811 165.145363 \nL 88.406612 165.25958 \nL 85.80658 165.218423 \nL 83.067329 164.998927 \nL 80.200197 164.575587 \nL 77.222326 163.920692 \nL 74.157801 163.004972 \nL 71.038785 161.798609 \nL 67.906503 160.272777 \nL 64.811954 158.401698 \nL 61.816125 156.165286 \nL 58.989453 153.552323 \nL 56.41034 150.564011 \nL 54.162468 147.217529 \nL 52.330836 143.549211 \nL 50.996606 139.616647 \nL 50.231089 135.49908 \nL 50.089458 131.295546 \nL 50.605006 127.120435 \nL 51.784873 123.096573 \nL 53.607992 119.346518 \nL 56.025817 115.98315 \nL 58.965765 113.100929 \nL 62.33696 110.7691 \nL 66.037372 109.027869 \nL 69.961273 107.887795 \nL 74.006081 107.33228 \nL 78.077827 107.322277 \nL 82.094891 107.802359 \nL 85.989999 108.707025 \nL 89.710693 109.966575 \nL 93.218644 111.511882 \nL 96.488208 113.277957 \nL 99.504598 115.206269 \nL 102.261913 117.245917 \nL 104.761253 119.354023 \nL 107.009005 121.49545 \nL 109.015363 123.642168 \nL 110.793096 125.772413 \nL 112.356544 127.869764 \nL 113.720837 129.922257 \nL 114.901277 131.921543 \nL 116.770041 135.740981 \nL 118.074152 139.308741 \nL 118.9091 142.627382 \nL 119.351962 145.711311 \nL 119.461161 148.580475 \nL 119.277466 151.2565 \nL 118.825477 153.760441 \nL 118.11513 156.111377 \nL 117.142993 158.325535 \nL 115.893213 160.415526 \nL 114.33811 162.389447 \nL 112.438514 164.249586 \nL 110.144017 165.990425 \nL 107.393498 167.595572 \nL 104.116466 169.033199 \nL 102.25663 169.673457 \nL 100.236186 170.249469 \nL 98.045604 170.749588 \nL 95.67603 171.159512 \nL 93.119839 171.461882 \nL 90.371336 171.635838 \nL 87.42765 171.656614 \nL 84.289863 171.495181 \nL 80.964365 171.118024 \nL 77.464477 170.487164 \nL 73.812296 169.560522 \nL 70.040696 168.292837 \nL 66.195383 166.6373 \nL 62.33672 164.548132 \nL 58.54108 161.98426 \nL 54.901208 158.914196 \nL 51.52512 155.321984 \nL 48.533006 151.213847 \nL 46.05171 146.62475 \nL 44.206682 141.623756 \nL 43.111774 136.316692 \nL 42.857909 130.844758 \nL 43.502186 125.377975 \nL 45.059426 120.103525 \nL 47.497991 115.209923 \nL 50.741046 110.869593 \nL 54.673319 107.222644 \nL 59.152197 104.364933 \nL 64.021131 102.342306 \nL 69.122993 101.151457 \nL 74.311408 100.746562 \nL 79.458814 101.04961 \nL 84.460945 101.962225 \nL 89.238072 103.376922 \nL 93.733825 105.186483 \nL 97.912481 107.290767 \nL 101.755517 109.600975 \nL 105.258042 112.041667 \nL 108.425474 114.551124 \nL 111.270658 117.080535 \nL 113.811493 119.592586 \nL 116.069054 122.059723 \nL 118.066142 124.462411 \nL 119.826201 126.787515 \nL 122.727708 131.176114 \nL 124.949361 135.199932 \nL 126.646599 138.867213 \nL 127.951029 142.2025 \nL 129.402112 146.650275 \nL 132.978277 158.637172 \nL 133.713121 160.242437 \nL 134.557538 161.691437 \nL 135.545065 162.982924 \nL 136.712935 164.110683 \nL 138.103782 165.062744 \nL 139.767336 165.820191 \nL 141.762024 166.355403 \nL 144.156408 166.629663 \nL 147.030136 166.589963 \nL 150.473882 166.165006 \nL 154.587263 165.260524 \nL 159.473055 163.754608 \nL 162.235779 162.729632 \nL 165.224999 161.49469 \nL 168.447331 160.026258 \nL 171.905193 158.299739 \nL 175.595172 156.29033 \nL 179.506028 153.974317 \nL 183.616354 151.330972 \nL 187.891924 148.345106 \nL 192.282899 145.010387 \nL 196.721076 141.333426 \nL 201.117598 137.338463 \nL 205.361671 133.072308 \nL 209.320968 128.60884 \nL 212.844528 124.052099 \nL 215.768897 119.536633 \nL 217.927961 115.223717 \nL 219.166358 111.292306 \nL 219.355468 107.924381 \nL 218.409903 105.285749 \nL 216.301653 103.505017 \nL 213.068533 102.654824 \nL 208.814549 102.739947 \nL 203.70111 103.695624 \nL 197.930429 105.397153 \nL 191.724328 107.678625 \nL 185.30263 110.356281 \nL 178.864992 113.251273 \nL 166.57221 119.10224 \nL 139.361988 132.458181 \nL 133.60987 135.458766 \nL 129.129295 138.048622 \nL 125.640043 140.396953 \nL 122.88879 142.617672 \nL 120.658754 144.776465 \nL 118.769691 146.903901 \nL 112.020434 155.08832 \nL 110.052653 156.981746 \nL 107.818479 158.77103 \nL 105.249914 160.425648 \nL 102.281547 161.905425 \nL 98.851763 163.155727 \nL 96.946563 163.672341 \nL 94.906884 164.101447 \nL 92.728597 164.429323 \nL 90.409396 164.640098 \nL 87.949371 164.715575 \nL 85.35172 164.635124 \nL 82.623571 164.375677 \nL 79.776925 163.911886 \nL 76.829688 163.216502 \nL 73.806733 162.261082 \nL 70.740932 161.017052 \nL 67.674046 159.457277 \nL 64.657258 157.558133 \nL 61.751237 155.302119 \nL 59.025434 152.680951 \nL 56.556434 149.698924 \nL 54.425139 146.37622 \nL 52.712816 142.751718 \nL 51.496022 138.884683 \nL 50.840837 134.854781 \nL 50.796983 130.759868 \nL 51.392576 126.711382 \nL 52.630403 122.827529 \nL 54.486356 119.224898 \nL 56.910494 116.009634 \nL 59.830617 113.269419 \nL 63.157884 111.067382 \nL 66.793609 109.438895 \nL 70.636272 108.391327 \nL 74.587859 107.906636 \nL 78.558886 107.945962 \nL 82.471788 108.45537 \nL 86.262703 109.371764 \nL 89.881847 110.628341 \nL 93.292829 112.159049 \nL 96.471284 113.901844 \nL 99.403132 115.800843 \nL 102.08273 117.807424 \nL 104.511095 119.880538 \nL 106.694282 121.986485 \nL 108.641985 124.098299 \nL 110.366366 126.19497 \nL 111.881104 128.26058 \nL 113.200633 130.283465 \nL 114.339561 132.255428 \nL 116.132364 136.027155 \nL 117.365708 139.555938 \nL 118.130445 142.843253 \nL 118.499484 145.902201 \nL 118.527444 148.751352 \nL 118.251529 151.410944 \nL 117.692857 153.900556 \nL 116.857852 156.237642 \nL 115.739438 158.436443 \nL 114.317939 160.507006 \nL 112.561719 162.45394 \nL 110.427686 164.274649 \nL 107.861944 165.956707 \nL 104.801059 167.473949 \nL 101.174729 168.780861 \nL 99.126893 169.334067 \nL 96.91107 169.804821 \nL 94.519627 170.178158 \nL 91.946418 170.436055 \nL 89.187534 170.557049 \nL 86.24223 170.515891 \nL 83.114074 170.28328 \nL 79.812312 169.825785 \nL 76.353457 169.106004 \nL 72.763056 168.083152 \nL 69.077552 166.714201 \nL 65.346077 164.955745 \nL 61.631963 162.766821 \nL 58.013592 160.11272 \nL 54.584207 156.969873 \nL 51.450167 153.331568 \nL 48.727271 149.214013 \nL 46.534798 144.661987 \nL 44.987385 139.752868 \nL 44.185241 134.597802 \nL 44.203806 129.338817 \nL 45.084423 124.141246 \nL 46.827764 119.181762 \nL 49.391474 114.63334 \nL 52.692847 110.649551 \nL 56.616176 107.350745 \nL 61.023587 104.814665 \nL 65.767346 103.072774 \nL 70.70171 102.112461 \nL 75.692614 101.883936 \nL 80.624339 102.310033 \nL 85.403006 103.296906 \nL 89.957298 104.743992 \nL 94.237135 106.55207 \nL 98.211094 108.629103 \nL 101.863268 110.893767 \nL 105.190033 113.277082 \nL 108.197063 115.722576 \nL 110.896745 118.18553 \nL 113.306041 120.631647 \nL 115.444787 123.035506 \nL 117.334381 125.378987 \nL 118.996782 127.649823 \nL 121.726541 131.946276 \nL 123.798344 135.900104 \nL 125.357094 139.518312 \nL 126.524962 142.823604 \nL 127.401688 145.844977 \nL 128.340072 149.909965 \nL 129.349538 155.659358 \nL 130.460727 162.060437 \nL 131.241682 165.027675 \nL 132.003283 166.957166 \nL 132.631697 168.103846 \nL 133.384651 169.135405 \nL 134.29133 170.045397 \nL 135.386943 170.823443 \nL 136.71418 171.45417 \nL 138.324852 171.915678 \nL 140.281663 172.177439 \nL 142.660002 172.197394 \nL 145.549485 171.918077 \nL 149.054655 171.261583 \nL 153.293791 170.123373 \nL 158.393891 168.365408 \nL 161.306121 167.200193 \nL 164.478589 165.810235 \nL 167.922266 164.166992 \nL 171.643884 162.239928 \nL 175.644 159.997373 \nL 179.914543 157.407925 \nL 184.435871 154.442608 \nL 189.173304 151.077935 \nL 194.073312 147.300062 \nL 199.059598 143.110116 \nL 204.029567 138.530566 \nL 208.851923 133.612215 \nL 213.366371 128.440993 \nL 217.386675 123.143066 \nL 220.708193 117.886329 \nL 223.120849 112.876066 \nL 224.427469 108.342779 \nL 224.466098 104.521483 \nL 223.133307 101.623968 \nL 220.403743 99.80833 \nL 216.341073 99.152488 \nL 211.096292 99.638906 \nL 204.892563 101.155712 \nL 197.9992 103.514809 \nL 190.700609 106.482298 \nL 183.266839 109.813352 \nL 168.877554 116.708122 \nL 150.48087 125.635708 \nL 136.843095 131.985829 \nL 127.333859 136.41478 \nL 122.718628 138.768595 \nL 119.095157 140.882933 \nL 116.179752 142.878646 \nL 113.736685 144.818186 \nL 109.53572 148.593051 \nL 106.443314 151.285383 \nL 104.214828 152.96282 \nL 101.760232 154.502359 \nL 99.015755 155.857549 \nL 95.931123 156.971637 \nL 92.472085 157.774451 \nL 90.597165 158.032749 \nL 88.626087 158.179291 \nL 86.562185 158.200342 \nL 84.411514 158.081064 \nL 82.183314 157.805659 \nL 79.890515 157.357667 \nL 77.550248 156.720397 \nL 75.184299 155.877537 \nL 72.819482 154.813993 \nL 70.487839 153.516939 \nL 68.226608 151.977097 \nL 66.077851 150.190193 \nL 64.08766 148.158522 \nL 62.304891 145.892506 \nL 60.779379 143.412063 \nL 59.559658 140.747599 \nL 58.690294 137.940355 \nL 58.209028 135.041949 \nL 58.143978 132.112927 \nL 58.511201 129.220326 \nL 59.312962 126.434333 \nL 60.536948 123.824373 \nL 62.156589 121.454934 \nL 64.132473 119.381712 \nL 66.414741 117.648455 \nL 68.946137 116.28488 \nL 71.665373 115.305853 \nL 74.510453 114.711825 \nL 77.421617 114.490303 \nL 80.343708 114.618148 \nL 83.227856 115.064244 \nL 86.032455 115.792274 \nL 88.72352 116.763305 \nL 91.274544 117.938015 \nL 93.665996 119.278418 \nL 95.884568 120.74913 \nL 97.922303 122.318164 \nL 99.775702 123.957322 \nL 101.444839 125.642324 \nL 102.932561 127.352678 \nL 104.243758 129.071413 \nL 105.384749 130.784738 \nL 106.362751 132.481653 \nL 107.185444 134.153548 \nL 107.860624 135.793835 \nL 108.395925 137.39759 \nL 108.798599 138.961243 \nL 109.232275 141.9591 \nL 109.207038 144.776241 \nL 108.755851 147.408821 \nL 107.898629 149.85559 \nL 106.642655 152.11417 \nL 105.864231 153.171055 \nL 104.983747 154.177885 \nL 103.999192 155.132659 \nL 102.908116 156.032706 \nL 101.707739 156.874589 \nL 100.395079 157.653982 \nL 98.967118 158.365545 \nL 97.420991 159.002787 \nL 95.754229 159.557926 \nL 95.754229 159.557926 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p0b1d8ffffd\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:32:17.333345</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#p8a0aba6e7a)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p8a0aba6e7a\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     }
@@ -153,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -179,7 +179,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 8,
    "metadata": {
     "tags": [
      "outputPrepend"
@@ -190,389 +190,389 @@
      "output_type": "stream",
      "name": "stdout",
      "text": [
-      ":\n",
-      "tensor(15.8942, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.8835, requires_grad=True)}\n",
-      "Epoch: 24\t Loss: tensor(301.9414, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(13.4083, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.8125, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.7852, requires_grad=True)}\n",
-      "Epoch: 25\t Loss: tensor(300.2483, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(13.4956, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.7324, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.6870, requires_grad=True)}\n",
-      "Epoch: 26\t Loss: tensor(298.5752, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(13.5821, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.6541, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.5889, requires_grad=True)}\n",
-      "Epoch: 27\t Loss: tensor(296.9215, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(13.6676, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.5775, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.4909, requires_grad=True)}\n",
-      "Epoch: 28\t Loss: tensor(295.2867, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(13.7524, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.5028, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.3931, requires_grad=True)}\n",
-      "Epoch: 29\t Loss: tensor(293.6703, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(13.8362, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.4300, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.2953, requires_grad=True)}\n",
-      "Epoch: 30\t Loss: tensor(292.0717, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(13.9192, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.3592, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.1976, requires_grad=True)}\n",
-      "Epoch: 31\t Loss: tensor(290.4902, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.0013, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.2904, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.1001, requires_grad=True)}\n",
-      "Epoch: 32\t Loss: tensor(288.9252, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.0826, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.2239, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.0026, requires_grad=True)}\n",
-      "Epoch: 33\t Loss: tensor(287.3758, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.1630, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.1595, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.9052, requires_grad=True)}\n",
-      "Epoch: 34\t Loss: tensor(285.8413, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.2425, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.0974, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.8079, requires_grad=True)}\n",
-      "Epoch: 35\t Loss: tensor(284.3210, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.3212, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.0377, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.7107, requires_grad=True)}\n",
-      "Epoch: 36\t Loss: tensor(282.8141, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.3991, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.9804, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.6136, requires_grad=True)}\n",
-      "Epoch: 37\t Loss: tensor(281.3195, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.4761, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.9256, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.5166, requires_grad=True)}\n",
-      "Epoch: 38\t Loss: tensor(279.8366, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.5524, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.8734, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.4196, requires_grad=True)}\n",
-      "Epoch: 39\t Loss: tensor(278.3644, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.6278, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.8239, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.3227, requires_grad=True)}\n",
-      "Epoch: 40\t Loss: tensor(276.9018, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.7026, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.7771, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.2258, requires_grad=True)}\n",
-      "Epoch: 41\t Loss: tensor(275.4480, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.7765, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.7330, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.1290, requires_grad=True)}\n",
-      "Epoch: 42\t Loss: tensor(274.0018, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.8498, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.6918, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.0322, requires_grad=True)}\n",
-      "Epoch: 43\t Loss: tensor(272.5623, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.9224, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.6535, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.9355, requires_grad=True)}\n",
-      "Epoch: 44\t Loss: tensor(271.1285, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.9943, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.6181, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.8387, requires_grad=True)}\n",
-      "Epoch: 45\t Loss: tensor(269.6992, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.0656, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.5858, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.7420, requires_grad=True)}\n",
-      "Epoch: 46\t Loss: tensor(268.2733, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.1363, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.5565, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.6453, requires_grad=True)}\n",
-      "Epoch: 47\t Loss: tensor(266.8497, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.2064, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.5303, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.5486, requires_grad=True)}\n",
-      "Epoch: 48\t Loss: tensor(265.4273, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.2761, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.5073, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.4519, requires_grad=True)}\n",
-      "Epoch: 49\t Loss: tensor(264.0049, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.3452, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.4875, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.3551, requires_grad=True)}\n",
-      "Epoch: 50\t Loss: tensor(262.5814, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.4140, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.4710, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.2583, requires_grad=True)}\n",
-      "Epoch: 51\t Loss: tensor(261.1555, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.4823, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.4578, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.1614, requires_grad=True)}\n",
-      "Epoch: 52\t Loss: tensor(259.7262, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.5503, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.4478, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.0644, requires_grad=True)}\n",
-      "Epoch: 53\t Loss: tensor(258.2922, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.6180, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.4412, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.9674, requires_grad=True)}\n",
-      "Epoch: 54\t Loss: tensor(256.8523, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.6855, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.4380, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.8703, requires_grad=True)}\n",
-      "Epoch: 55\t Loss: tensor(255.4054, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.7528, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.4382, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.7731, requires_grad=True)}\n",
-      "Epoch: 56\t Loss: tensor(253.9503, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.8199, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.4417, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.6757, requires_grad=True)}\n",
-      "Epoch: 57\t Loss: tensor(252.4858, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.8870, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.4487, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.5782, requires_grad=True)}\n",
-      "Epoch: 58\t Loss: tensor(251.0108, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.9541, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.4591, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.4806, requires_grad=True)}\n",
-      "Epoch: 59\t Loss: tensor(249.5241, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.0213, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.4729, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.3828, requires_grad=True)}\n",
-      "Epoch: 60\t Loss: tensor(248.0247, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.0886, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.4900, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.2848, requires_grad=True)}\n",
-      "Epoch: 61\t Loss: tensor(246.5114, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.1562, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.5106, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.1867, requires_grad=True)}\n",
-      "Epoch: 62\t Loss: tensor(244.9831, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.2240, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.5345, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.0883, requires_grad=True)}\n",
-      "Epoch: 63\t Loss: tensor(243.4391, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.2922, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.5618, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.9897, requires_grad=True)}\n",
-      "Epoch: 64\t Loss: tensor(241.8782, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.3610, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.5924, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.8909, requires_grad=True)}\n",
-      "Epoch: 65\t Loss: tensor(240.2998, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.4304, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.6263, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.7918, requires_grad=True)}\n",
-      "Epoch: 66\t Loss: tensor(238.7030, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.5005, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.6633, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.6924, requires_grad=True)}\n",
-      "Epoch: 67\t Loss: tensor(237.0871, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.5715, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.7036, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.5928, requires_grad=True)}\n",
-      "Epoch: 68\t Loss: tensor(235.4519, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.6435, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.7470, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.4930, requires_grad=True)}\n",
-      "Epoch: 69\t Loss: tensor(233.7971, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.7168, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.7935, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.3928, requires_grad=True)}\n",
-      "Epoch: 70\t Loss: tensor(232.1226, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.7916, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.8429, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.2924, requires_grad=True)}\n",
-      "Epoch: 71\t Loss: tensor(230.4284, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.8680, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.8952, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.1917, requires_grad=True)}\n",
-      "Epoch: 72\t Loss: tensor(228.7146, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.9464, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.9502, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.0907, requires_grad=True)}\n",
-      "Epoch: 73\t Loss: tensor(226.9818, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.0271, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.0079, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.9894, requires_grad=True)}\n",
-      "Epoch: 74\t Loss: tensor(225.2312, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.1104, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.0681, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.8878, requires_grad=True)}\n",
-      "Epoch: 75\t Loss: tensor(223.4612, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.1965, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.1306, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.7859, requires_grad=True)}\n",
-      "Epoch: 76\t Loss: tensor(221.6657, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.2854, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.1953, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.6837, requires_grad=True)}\n",
-      "Epoch: 77\t Loss: tensor(219.8401, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.3771, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.2619, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.5811, requires_grad=True)}\n",
-      "Epoch: 78\t Loss: tensor(217.9906, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.4721, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.3303, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.4781, requires_grad=True)}\n",
-      "Epoch: 79\t Loss: tensor(216.1263, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.5707, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.4000, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.3747, requires_grad=True)}\n",
-      "Epoch: 80\t Loss: tensor(214.3090, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.6775, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.4695, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.2717, requires_grad=True)}\n",
-      "Epoch: 81\t Loss: tensor(212.7480, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.7979, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.5348, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.1702, requires_grad=True)}\n",
-      "Epoch: 82\t Loss: tensor(211.5908, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.9368, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.5596, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.0810, requires_grad=True)}\n",
-      "Epoch: 83\t Loss: tensor(89.2156, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.8993, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.6518, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.9624, requires_grad=True)}\n",
-      "Epoch: 84\t Loss: tensor(83.5118, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.8621, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.7448, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.8501, requires_grad=True)}\n",
-      "Epoch: 85\t Loss: tensor(81.7634, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.8252, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.8372, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.7435, requires_grad=True)}\n",
-      "Epoch: 86\t Loss: tensor(80.1878, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.7927, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.9307, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.6440, requires_grad=True)}\n",
-      "Epoch: 87\t Loss: tensor(79.0457, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.7719, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.0269, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5544, requires_grad=True)}\n",
-      "Epoch: 88\t Loss: tensor(78.4015, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.7692, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.1259, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.4769, requires_grad=True)}\n",
-      "Epoch: 89\t Loss: tensor(77.9929, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.7852, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.2262, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.4112, requires_grad=True)}\n",
-      "Epoch: 90\t Loss: tensor(77.5531, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.8164, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.3255, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.3542, requires_grad=True)}\n",
-      "Epoch: 91\t Loss: tensor(76.9851, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.8570, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.4218, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.3020, requires_grad=True)}\n",
-      "Epoch: 92\t Loss: tensor(76.2551, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.8996, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.5134, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.2499, requires_grad=True)}\n",
-      "Epoch: 93\t Loss: tensor(75.2696, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.9360, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.5994, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.1932, requires_grad=True)}\n",
-      "Epoch: 94\t Loss: tensor(73.8892, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.9602, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.6803, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.1299, requires_grad=True)}\n",
-      "Epoch: 95\t Loss: tensor(72.4045, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.9804, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.7593, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.0662, requires_grad=True)}\n",
-      "Epoch: 96\t Loss: tensor(72.0286, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.0215, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.8387, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.0181, requires_grad=True)}\n",
-      "Epoch: 97\t Loss: tensor(72.7292, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.0955, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.9173, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.9952, requires_grad=True)}\n",
-      "Epoch: 98\t Loss: tensor(72.9855, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.1983, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.9935, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.9975, requires_grad=True)}\n",
-      "Epoch: 99\t Loss: tensor(72.1948, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.3234, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(17.0670, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.0223, requires_grad=True)}\n"
+      "o': Parameter containing:\n",
+      "tensor(9.4876, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.5730, requires_grad=True)}\n",
+      "Epoch: 24\t Loss: tensor(316.2903, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.1060, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.4467, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.4755, requires_grad=True)}\n",
+      "Epoch: 25\t Loss: tensor(315.2972, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.1762, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.4118, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.3780, requires_grad=True)}\n",
+      "Epoch: 26\t Loss: tensor(314.3082, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.2448, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.3833, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.2807, requires_grad=True)}\n",
+      "Epoch: 27\t Loss: tensor(313.3213, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.3119, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.3614, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.1834, requires_grad=True)}\n",
+      "Epoch: 28\t Loss: tensor(312.3339, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.3776, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.3464, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.0862, requires_grad=True)}\n",
+      "Epoch: 29\t Loss: tensor(311.3439, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.4420, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.3385, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.9889, requires_grad=True)}\n",
+      "Epoch: 30\t Loss: tensor(310.3486, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.5053, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.3379, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.8917, requires_grad=True)}\n",
+      "Epoch: 31\t Loss: tensor(309.3456, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.5675, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.3447, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.7945, requires_grad=True)}\n",
+      "Epoch: 32\t Loss: tensor(308.3323, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.6288, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.3590, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.6972, requires_grad=True)}\n",
+      "Epoch: 33\t Loss: tensor(307.3060, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.6894, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.3808, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.5999, requires_grad=True)}\n",
+      "Epoch: 34\t Loss: tensor(306.2645, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.7496, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.4101, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.5024, requires_grad=True)}\n",
+      "Epoch: 35\t Loss: tensor(305.2050, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.8093, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.4468, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.4048, requires_grad=True)}\n",
+      "Epoch: 36\t Loss: tensor(304.1251, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.8690, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.4908, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.3070, requires_grad=True)}\n",
+      "Epoch: 37\t Loss: tensor(303.0227, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.9287, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.5419, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.2090, requires_grad=True)}\n",
+      "Epoch: 38\t Loss: tensor(301.8955, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.9888, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.5999, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.1107, requires_grad=True)}\n",
+      "Epoch: 39\t Loss: tensor(300.7415, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.0494, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.6645, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.0121, requires_grad=True)}\n",
+      "Epoch: 40\t Loss: tensor(299.5587, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.1107, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.7354, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.9132, requires_grad=True)}\n",
+      "Epoch: 41\t Loss: tensor(298.3455, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.1731, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.8124, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.8140, requires_grad=True)}\n",
+      "Epoch: 42\t Loss: tensor(297.1000, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.2368, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.8952, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.7143, requires_grad=True)}\n",
+      "Epoch: 43\t Loss: tensor(295.8210, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.3020, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.9833, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.6142, requires_grad=True)}\n",
+      "Epoch: 44\t Loss: tensor(294.5069, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.3689, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(10.0766, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.5136, requires_grad=True)}\n",
+      "Epoch: 45\t Loss: tensor(293.1565, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.4379, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(10.1746, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.4125, requires_grad=True)}\n",
+      "Epoch: 46\t Loss: tensor(291.7686, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.5090, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(10.2772, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.3109, requires_grad=True)}\n",
+      "Epoch: 47\t Loss: tensor(290.3423, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.5827, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(10.3839, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.2086, requires_grad=True)}\n",
+      "Epoch: 48\t Loss: tensor(288.8764, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.6590, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(10.4944, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.1058, requires_grad=True)}\n",
+      "Epoch: 49\t Loss: tensor(287.3701, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.7383, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(10.6086, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.0023, requires_grad=True)}\n",
+      "Epoch: 50\t Loss: tensor(285.8226, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.8205, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(10.7261, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.8982, requires_grad=True)}\n",
+      "Epoch: 51\t Loss: tensor(284.2330, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.9061, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(10.8467, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.7933, requires_grad=True)}\n",
+      "Epoch: 52\t Loss: tensor(282.6007, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.9950, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(10.9702, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.6878, requires_grad=True)}\n",
+      "Epoch: 53\t Loss: tensor(280.9248, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(12.0875, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(11.0963, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.5815, requires_grad=True)}\n",
+      "Epoch: 54\t Loss: tensor(279.2049, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(12.1835, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(11.2248, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.4745, requires_grad=True)}\n",
+      "Epoch: 55\t Loss: tensor(277.4401, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(12.2833, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(11.3556, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.3666, requires_grad=True)}\n",
+      "Epoch: 56\t Loss: tensor(275.6301, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(12.3868, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(11.4884, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.2580, requires_grad=True)}\n",
+      "Epoch: 57\t Loss: tensor(273.7743, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(12.4941, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(11.6231, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.1486, requires_grad=True)}\n",
+      "Epoch: 58\t Loss: tensor(271.8721, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(12.6052, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(11.7596, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.0384, requires_grad=True)}\n",
+      "Epoch: 59\t Loss: tensor(269.9231, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(12.7201, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(11.8977, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.9273, requires_grad=True)}\n",
+      "Epoch: 60\t Loss: tensor(267.9269, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(12.8388, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(12.0372, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.8154, requires_grad=True)}\n",
+      "Epoch: 61\t Loss: tensor(265.8831, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(12.9612, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(12.1781, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.7026, requires_grad=True)}\n",
+      "Epoch: 62\t Loss: tensor(263.7912, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(13.0872, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(12.3201, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.5890, requires_grad=True)}\n",
+      "Epoch: 63\t Loss: tensor(261.6510, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(13.2169, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(12.4633, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.4745, requires_grad=True)}\n",
+      "Epoch: 64\t Loss: tensor(259.4619, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(13.3500, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(12.6074, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.3592, requires_grad=True)}\n",
+      "Epoch: 65\t Loss: tensor(257.2238, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(13.4865, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(12.7524, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.2430, requires_grad=True)}\n",
+      "Epoch: 66\t Loss: tensor(254.9365, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(13.6264, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(12.8981, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.1259, requires_grad=True)}\n",
+      "Epoch: 67\t Loss: tensor(252.5998, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(13.7695, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(13.0446, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.0079, requires_grad=True)}\n",
+      "Epoch: 68\t Loss: tensor(250.2142, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(13.9160, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(13.1916, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.8891, requires_grad=True)}\n",
+      "Epoch: 69\t Loss: tensor(247.7812, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.0659, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(13.3391, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.7694, requires_grad=True)}\n",
+      "Epoch: 70\t Loss: tensor(245.3035, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.2192, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(13.4870, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.6489, requires_grad=True)}\n",
+      "Epoch: 71\t Loss: tensor(242.7858, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.3761, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(13.6352, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.5276, requires_grad=True)}\n",
+      "Epoch: 72\t Loss: tensor(240.2343, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.5367, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(13.7834, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.4056, requires_grad=True)}\n",
+      "Epoch: 73\t Loss: tensor(237.6580, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.7010, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(13.9314, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.2829, requires_grad=True)}\n",
+      "Epoch: 74\t Loss: tensor(235.0762, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(14.8696, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.0788, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.1598, requires_grad=True)}\n",
+      "Epoch: 75\t Loss: tensor(232.5416, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.0434, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.2250, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.0368, requires_grad=True)}\n",
+      "Epoch: 76\t Loss: tensor(230.1575, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.2226, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.3681, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.9145, requires_grad=True)}\n",
+      "Epoch: 77\t Loss: tensor(227.9834, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.4065, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.5044, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.7935, requires_grad=True)}\n",
+      "Epoch: 78\t Loss: tensor(227.3086, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.5729, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.5748, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.6924, requires_grad=True)}\n",
+      "Epoch: 79\t Loss: tensor(101.9908, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.5999, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.6800, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5661, requires_grad=True)}\n",
+      "Epoch: 80\t Loss: tensor(93.9531, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.6264, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.7984, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.4405, requires_grad=True)}\n",
+      "Epoch: 81\t Loss: tensor(90.2411, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.6622, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.9234, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.3207, requires_grad=True)}\n",
+      "Epoch: 82\t Loss: tensor(87.6202, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.7117, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.0525, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.2093, requires_grad=True)}\n",
+      "Epoch: 83\t Loss: tensor(85.6043, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.7768, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.1842, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.1078, requires_grad=True)}\n",
+      "Epoch: 84\t Loss: tensor(83.9932, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.8573, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.3174, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.0170, requires_grad=True)}\n",
+      "Epoch: 85\t Loss: tensor(82.6225, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(15.9508, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.4505, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.9363, requires_grad=True)}\n",
+      "Epoch: 86\t Loss: tensor(81.3660, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.0538, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.5821, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.8641, requires_grad=True)}\n",
+      "Epoch: 87\t Loss: tensor(80.1497, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.1621, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.7109, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7978, requires_grad=True)}\n",
+      "Epoch: 88\t Loss: tensor(78.9316, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.2717, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.8360, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7346, requires_grad=True)}\n",
+      "Epoch: 89\t Loss: tensor(77.6843, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.3790, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.9567, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6724, requires_grad=True)}\n",
+      "Epoch: 90\t Loss: tensor(76.4353, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.4827, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.0732, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6107, requires_grad=True)}\n",
+      "Epoch: 91\t Loss: tensor(75.4091, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.5868, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.1859, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.5542, requires_grad=True)}\n",
+      "Epoch: 92\t Loss: tensor(75.0112, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.6996, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.2946, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.5122, requires_grad=True)}\n",
+      "Epoch: 93\t Loss: tensor(75.1785, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.8261, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.3978, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.4920, requires_grad=True)}\n",
+      "Epoch: 94\t Loss: tensor(75.2349, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.9665, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.4938, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.4953, requires_grad=True)}\n",
+      "Epoch: 95\t Loss: tensor(74.6912, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.1188, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.5822, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.5201, requires_grad=True)}\n",
+      "Epoch: 96\t Loss: tensor(73.5248, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.2788, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.6637, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.5593, requires_grad=True)}\n",
+      "Epoch: 97\t Loss: tensor(72.4504, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.4378, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.7405, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.5999, requires_grad=True)}\n",
+      "Epoch: 98\t Loss: tensor(72.1820, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.5891, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.8132, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6316, requires_grad=True)}\n",
+      "Epoch: 99\t Loss: tensor(72.2339, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.7342, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.8818, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6545, requires_grad=True)}\n"
      ]
     }
    ],
@@ -589,7 +589,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -597,21 +597,21 @@
      "data": {
       "text/plain": [
        "{'sigma': Parameter containing:\n",
-       " tensor(18.3234, requires_grad=True),\n",
+       " tensor(17.7342, requires_grad=True),\n",
        " 'rho': Parameter containing:\n",
-       " tensor(17.0670, requires_grad=True),\n",
+       " tensor(16.8818, requires_grad=True),\n",
        " 'beta': Parameter containing:\n",
-       " tensor(3.0223, requires_grad=True)}"
+       " tensor(2.6545, requires_grad=True)}"
       ]
      },
      "metadata": {},
-     "execution_count": 53
+     "execution_count": 9
     }
    ],
    "source": [
     "ode_solver_train.coeffs\n",
     "\n",
-    "# \"beta\" is close. \"sigma\" and \"rho\" are far off. This poses a problem when predicting for larger time scales."
+    "# \"beta\" is close but \"sigma\" and \"rho\" are far off"
    ]
   },
   {
@@ -623,16 +623,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
-    "results_test = ode_solver_train(1000)"
+    "results_test = ode_solver_train(10000)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -640,16 +640,16 @@
      "data": {
       "text/plain": [
        "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 8.1677e-01,  1.7067e-01,  0.0000e+00],\n",
-       "        [ 6.9838e-01,  3.0836e-01,  1.3940e-03],\n",
+       "        [ 8.2266e-01,  1.6882e-01,  0.0000e+00],\n",
+       "        [ 7.0670e-01,  3.0601e-01,  1.3888e-03],\n",
        "        ...,\n",
-       "        [-6.1749e+00, -7.1516e+00,  1.2449e+01],\n",
-       "        [-6.3539e+00, -7.3652e+00,  1.2515e+01],\n",
-       "        [-6.5392e+00, -7.5808e+00,  1.2604e+01]], grad_fn=<StackBackward>)"
+       "        [-6.4928e+00, -6.4932e+00,  1.5881e+01],\n",
+       "        [-6.4929e+00, -6.4933e+00,  1.5881e+01],\n",
+       "        [-6.4930e+00, -6.4933e+00,  1.5881e+01]], grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
-     "execution_count": 55
+     "execution_count": 11
     }
    ],
    "source": [
@@ -658,22 +658,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "output_type": "stream",
      "name": "stderr",
      "text": [
-      "<ipython-input-56-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+      "<ipython-input-12-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
      ]
     },
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T13:21:26.092339</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"maa394c0fd3\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"63.367914\" xlink:href=\"#maa394c0fd3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(52.81557 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"121.765257\" xlink:href=\"#maa394c0fd3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(114.394164 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"180.162601\" xlink:href=\"#maa394c0fd3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(176.981351 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"238.559944\" xlink:href=\"#maa394c0fd3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(235.378694 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"296.957287\" xlink:href=\"#maa394c0fd3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(290.594787 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"355.35463\" xlink:href=\"#maa394c0fd3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(348.99213 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m5f1004d53e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5f1004d53e\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5f1004d53e\" y=\"221.142244\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 5 -->\n      <g transform=\"translate(13.5625 224.941463)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5f1004d53e\" y=\"181.068489\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 184.867707)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5f1004d53e\" y=\"140.994733\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 15 -->\n      <g transform=\"translate(7.2 144.793952)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5f1004d53e\" y=\"100.920977\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 104.720196)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5f1004d53e\" y=\"60.847222\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 25 -->\n      <g transform=\"translate(7.2 64.64644)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m5f1004d53e\" y=\"20.773466\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 24.572685)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pb35b92d22f)\" d=\"M 191.842069 261.216 \nL 186.917325 261.143974 \nL 187.011926 261.117294 \nL 190.587329 260.829477 \nL 195.273191 260.36725 \nL 200.238585 259.702788 \nL 204.432571 258.996765 \nL 209.493187 257.966314 \nL 215.584892 256.464676 \nL 222.895606 254.28178 \nL 227.072223 252.846123 \nL 231.632104 251.12029 \nL 236.602129 249.048683 \nL 242.008256 246.566447 \nL 247.874333 243.598588 \nL 254.220503 240.059315 \nL 261.061107 235.851841 \nL 268.401948 230.868921 \nL 276.23685 224.994503 \nL 284.543374 218.107037 \nL 293.277658 210.084994 \nL 302.368438 200.815324 \nL 311.710444 190.205461 \nL 321.157497 178.199278 \nL 330.516256 164.796926 \nL 339.541509 150.07752 \nL 347.934924 134.222251 \nL 355.349005 117.533767 \nL 361.398688 100.445875 \nL 365.68223 83.516538 \nL 367.812273 67.398036 \nL 367.455576 52.781412 \nL 364.377332 40.31916 \nL 358.482875 30.538601 \nL 349.8476 23.764964 \nL 338.726545 20.075113 \nL 325.538445 19.296 \nL 310.825286 21.048768 \nL 295.194667 24.825097 \nL 279.256829 30.073603 \nL 263.568513 36.27482 \nL 248.592537 42.991115 \nL 234.676671 49.888683 \nL 222.050396 56.736629 \nL 210.835073 63.392067 \nL 201.061942 69.779326 \nL 192.693105 75.8693 \nL 185.642007 81.662066 \nL 179.791356 87.173859 \nL 175.007639 92.428143 \nL 171.152143 97.450051 \nL 168.088821 102.263322 \nL 165.689521 106.888794 \nL 163.837155 111.343969 \nL 162.427285 115.643142 \nL 161.368598 119.797761 \nL 160.582604 123.816923 \nL 160.002822 127.707873 \nL 159.249299 135.126969 \nL 157.522898 157.631508 \nL 156.725305 163.137431 \nL 155.670486 168.247788 \nL 154.321608 172.963743 \nL 153.526643 175.172773 \nL 152.645904 177.281176 \nL 151.675147 179.287401 \nL 150.6099 181.189401 \nL 149.445405 182.984544 \nL 148.176578 184.669568 \nL 146.797997 186.240506 \nL 145.303888 187.692581 \nL 143.688131 189.02012 \nL 141.944282 190.216467 \nL 140.065614 191.273856 \nL 138.04517 192.183291 \nL 135.87584 192.934444 \nL 133.55046 193.515523 \nL 131.061953 193.913121 \nL 128.403488 194.112141 \nL 125.568696 194.095685 \nL 122.551935 193.844964 \nL 119.348607 193.339288 \nL 115.955541 192.556108 \nL 112.371463 191.471111 \nL 108.597541 190.058484 \nL 104.638021 188.291293 \nL 100.500948 186.142043 \nL 96.198988 183.583539 \nL 91.750324 180.589939 \nL 87.179606 177.13819 \nL 82.518905 173.209809 \nL 77.808684 168.792989 \nL 73.098585 163.885061 \nL 68.448031 158.495227 \nL 63.926505 152.647367 \nL 59.613301 146.382755 \nL 55.596646 139.762385 \nL 51.971963 132.868464 \nL 48.83924 125.804697 \nL 46.299394 118.694947 \nL 44.449627 111.679854 \nL 43.378034 104.911461 \nL 43.157727 98.545756 \nL 43.840946 92.733774 \nL 45.453877 87.612074 \nL 47.992699 83.293609 \nL 51.421603 79.860319 \nL 55.673056 77.358293 \nL 60.650644 75.796336 \nL 66.23415 75.147941 \nL 72.286483 75.356271 \nL 78.661618 76.341254 \nL 85.212774 78.007696 \nL 91.799873 80.253269 \nL 98.295771 82.975458 \nL 104.590755 86.077037 \nL 110.595182 89.46971 \nL 116.240428 93.076156 \nL 121.478287 96.83067 \nL 126.279315 100.678863 \nL 130.630406 104.576647 \nL 134.532013 108.488907 \nL 137.995256 112.388128 \nL 141.039172 116.252998 \nL 143.688231 120.067193 \nL 145.97021 123.818344 \nL 147.91443 127.497143 \nL 149.550379 131.096663 \nL 150.906666 134.611777 \nL 152.010293 138.038762 \nL 152.886157 141.374934 \nL 153.556756 144.618391 \nL 154.04207 147.767804 \nL 154.359546 150.822254 \nL 154.524157 153.781099 \nL 154.548536 156.643881 \nL 154.443131 159.410218 \nL 154.216372 162.079721 \nL 153.874863 164.651952 \nL 153.423543 167.126332 \nL 152.865857 169.502096 \nL 152.203912 171.778227 \nL 151.438603 173.953404 \nL 150.569749 176.025936 \nL 149.596191 177.993707 \nL 148.515893 179.854095 \nL 147.32603 181.603906 \nL 146.023062 183.239301 \nL 144.602811 184.755718 \nL 143.060534 186.14776 \nL 141.390987 187.409115 \nL 139.588511 188.53246 \nL 137.647114 189.509332 \nL 135.560567 190.330026 \nL 133.322527 190.983489 \nL 130.926677 191.4572 \nL 128.366898 191.737058 \nL 125.637464 191.807324 \nL 122.733313 191.650526 \nL 119.65033 191.247456 \nL 116.385712 190.577208 \nL 112.938402 189.617281 \nL 109.309586 188.343796 \nL 105.503275 186.731851 \nL 101.526963 184.756046 \nL 97.392363 182.391213 \nL 93.116233 179.613372 \nL 88.721223 176.401016 \nL 84.236749 172.736671 \nL 79.699863 168.608781 \nL 75.155993 164.013899 \nL 70.659496 158.959078 \nL 66.273947 153.464446 \nL 62.072016 147.565634 \nL 58.134689 141.315965 \nL 54.549903 134.787936 \nL 51.410275 128.073705 \nL 48.80998 121.284231 \nL 46.840765 114.546687 \nL 45.587159 108.000031 \nL 45.121273 101.788785 \nL 45.497439 96.055394 \nL 46.747302 90.931706 \nL 48.87593 86.530661 \nL 51.859387 82.939014 \nL 55.644385 80.212178 \nL 60.150072 78.371816 \nL 65.271992 77.406462 \nL 70.887744 77.275009 \nL 76.863946 77.912352 \nL 83.063573 79.236322 \nL 89.353032 81.154969 \nL 95.608274 83.573207 \nL 101.719579 86.398384 \nL 107.594661 89.544265 \nL 113.160224 92.933651 \nL 118.362045 96.499525 \nL 123.163902 100.185263 \nL 127.545713 103.944074 \nL 131.501157 107.737998 \nL 135.035096 111.536692 \nL 138.160999 115.316216 \nL 140.898558 119.057904 \nL 143.271585 122.747297 \nL 145.306213 126.373279 \nL 147.029453 129.927366 \nL 148.46807 133.403116 \nL 149.647753 136.795659 \nL 150.592522 140.101342 \nL 151.32436 143.317421 \nL 151.863008 146.441831 \nL 152.225875 149.473014 \nL 152.428051 152.409762 \nL 152.482387 155.25109 \nL 152.39962 157.996132 \nL 152.188508 160.644064 \nL 151.855999 163.194023 \nL 151.40738 165.645029 \nL 150.846441 167.995913 \nL 150.175622 170.24527 \nL 149.396142 172.391386 \nL 148.508121 174.43216 \nL 147.510705 176.365054 \nL 146.402149 178.187018 \nL 145.179929 179.894415 \nL 143.840813 181.48294 \nL 142.380952 182.947542 \nL 140.795959 184.28232 \nL 139.080998 185.480456 \nL 137.230866 186.534076 \nL 135.240107 187.434193 \nL 133.103117 188.17058 \nL 130.814296 188.731663 \nL 128.368184 189.10445 \nL 125.759691 189.274456 \nL 122.984301 189.22563 \nL 120.038358 188.940361 \nL 116.919398 188.399486 \nL 113.626528 187.582423 \nL 110.16089 186.467341 \nL 106.52617 185.031471 \nL 102.729204 183.251576 \nL 98.780615 181.104573 \nL 94.695565 178.568412 \nL 90.494502 175.623126 \nL 86.203959 172.252244 \nL 81.857295 168.444401 \nL 77.495405 164.19524 \nL 73.167253 159.509545 \nL 68.930157 154.403468 \nL 64.849724 148.906741 \nL 60.999309 143.064667 \nL 57.458888 136.939616 \nL 54.313223 130.611686 \nL 51.649261 124.178275 \nL 49.552756 117.752248 \nL 48.104183 111.458514 \nL 47.374194 105.428984 \nL 47.418804 99.796211 \nL 48.274891 94.686022 \nL 49.956312 90.210071 \nL 52.451282 86.458935 \nL 55.721318 83.496681 \nL 59.702086 81.357734 \nL 64.306147 80.046177 \nL 69.42742 79.537688 \nL 74.946926 79.783701 \nL 80.739244 80.716952 \nL 86.678979 82.257844 \nL 92.646699 84.320661 \nL 98.533822 86.818958 \nL 104.246177 89.669938 \nL 109.706142 92.797444 \nL 114.853429 96.13377 \nL 119.644683 99.620335 \nL 124.052235 103.207672 \nL 128.062218 106.854796 \nL 131.67236 110.52829 \nL 134.889684 114.201248 \nL 137.728252 117.852271 \nL 140.207119 121.464449 \nL 142.348531 125.024513 \nL 144.176433 128.522116 \nL 145.715252 131.9492 \nL 146.988973 135.299513 \nL 148.020457 138.568201 \nL 148.830957 141.751497 \nL 149.439827 144.846449 \nL 149.864365 147.850712 \nL 150.119743 150.76239 \nL 150.219048 153.579877 \nL 150.173336 156.30176 \nL 149.991758 158.926693 \nL 149.681684 161.453339 \nL 149.248848 163.880268 \nL 148.697488 166.205883 \nL 148.030484 168.428365 \nL 147.249492 170.545581 \nL 146.355061 172.555032 \nL 145.346754 174.453775 \nL 144.223253 176.238363 \nL 142.98246 177.904745 \nL 141.621583 179.448205 \nL 140.137239 180.863269 \nL 138.525542 182.143641 \nL 136.7822 183.282081 \nL 134.902624 184.270335 \nL 132.882036 185.099039 \nL 130.715615 185.75763 \nL 128.398642 186.234277 \nL 125.926684 186.515793 \nL 123.295803 186.587619 \nL 120.502825 186.433779 \nL 117.54561 186.036938 \nL 114.42342 185.378469 \nL 111.13731 184.438629 \nL 107.690602 183.196826 \nL 104.089387 181.632003 \nL 100.343122 179.723209 \nL 96.465269 177.45028 \nL 92.473953 174.794819 \nL 88.392679 171.741317 \nL 84.250995 168.278584 \nL 80.085118 164.401346 \nL 75.938444 160.112095 \nL 71.861842 155.422999 \nL 67.913688 150.357898 \nL 64.159465 144.954085 \nL 60.670938 139.263749 \nL 57.524705 133.354833 \nL 54.800094 127.310963 \nL 52.5764 121.230299 \nL 50.929486 115.223042 \nL 49.927864 109.407544 \nL 49.628553 103.905184 \nL 50.072942 98.834251 \nL 51.283108 94.303421 \nL 53.258984 90.405408 \nL 55.976822 87.211541 \nL 59.389107 84.768018 \nL 63.426202 83.094084 \nL 67.999554 82.182586 \nL 73.006225 82.002476 \nL 78.334249 82.503015 \nL 83.868413 83.61893 \nL 89.495793 85.275911 \nL 95.110621 87.395779 \nL 100.618163 89.900924 \nL 105.937389 92.717693 \nL 111.002402 95.77867 \nL 115.762797 99.024023 \nL 120.18303 102.401959 \nL 124.241153 105.868529 \nL 127.927048 109.387121 \nL 131.240446 112.927649 \nL 134.188917 116.465655 \nL 136.785912 119.981433 \nL 139.049006 123.459224 \nL 140.998369 126.886476 \nL 142.655489 130.253207 \nL 144.042146 133.551499 \nL 145.179628 136.775068 \nL 146.088154 139.9189 \nL 146.786474 142.978961 \nL 147.291612 145.951977 \nL 147.618745 148.835221 \nL 147.781143 151.626361 \nL 147.790195 154.323334 \nL 147.655482 156.924221 \nL 147.38486 159.427141 \nL 146.98459 161.830177 \nL 146.459453 164.131272 \nL 145.812883 166.328179 \nL 145.047084 168.41836 \nL 144.163159 170.398934 \nL 143.16122 172.266591 \nL 142.040501 174.017517 \nL 140.799462 175.647317 \nL 139.43589 177.150962 \nL 137.946996 178.522665 \nL 136.329532 179.755846 \nL 134.579883 180.843007 \nL 132.694192 181.775692 \nL 130.668494 182.54438 \nL 128.498855 183.13843 \nL 126.181548 183.546018 \nL 123.713232 183.754096 \nL 121.091205 183.748371 \nL 118.313643 183.513342 \nL 115.379919 183.032377 \nL 112.290954 182.287827 \nL 109.049616 181.261264 \nL 105.661178 179.933809 \nL 102.133811 178.286566 \nL 98.47916 176.301246 \nL 94.712902 173.960917 \nL 90.855375 171.250989 \nL 86.932171 168.160355 \nL 82.9747 164.68277 \nL 79.020643 160.818366 \nL 75.114302 156.575342 \nL 71.306659 151.971632 \nL 67.65521 147.036546 \nL 64.223344 141.812155 \nL 61.07925 136.354249 \nL 58.294358 130.73259 \nL 55.941113 125.030384 \nL 54.090243 119.342608 \nL 52.807544 113.773245 \nL 52.150289 108.431352 \nL 52.163621 103.426168 \nL 52.877103 98.86163 \nL 54.301839 94.830712 \nL 56.428485 91.410309 \nL 59.226453 88.656996 \nL 62.644497 86.604482 \nL 66.612678 85.262718 \nL 71.045609 84.61897 \nL 75.846742 84.640433 \nL 80.913159 85.278158 \nL 86.140604 86.471501 \nL 91.428118 88.152879 \nL 96.682078 90.252019 \nL 101.819285 92.699562 \nL 106.769032 95.429868 \nL 111.474158 98.382813 \nL 115.891144 101.504831 \nL 119.989483 104.749328 \nL 123.750478 108.076481 \nL 127.165698 111.452797 \nL 130.235232 114.850469 \nL 132.965947 118.246627 \nL 135.369797 121.622592 \nL 137.46232 124.963198 \nL 139.261301 128.256185 \nL 140.785673 131.491616 \nL 142.054633 134.661467 \nL 143.086949 137.759202 \nL 143.900457 140.779485 \nL 144.511702 143.717908 \nL 144.935722 146.570746 \nL 145.185907 149.334805 \nL 145.273967 152.007265 \nL 145.209935 154.585527 \nL 145.002224 157.067123 \nL 144.657707 159.449605 \nL 144.181824 161.730437 \nL 143.578676 163.906944 \nL 142.85116 165.976197 \nL 142.001063 167.934957 \nL 141.029186 169.779607 \nL 139.935456 171.506051 \nL 138.71903 173.109649 \nL 137.378403 174.585166 \nL 135.911516 175.926655 \nL 134.315872 177.12742 \nL 132.588645 178.179917 \nL 130.726815 179.0757 \nL 128.727298 179.805345 \nL 126.587108 180.358419 \nL 124.303528 180.723409 \nL 121.874319 180.887728 \nL 119.297944 180.837733 \nL 116.57384 180.558769 \nL 113.702709 180.035268 \nL 110.686884 179.250942 \nL 107.530693 178.189013 \nL 104.240903 176.832596 \nL 100.827187 175.16516 \nL 97.302626 173.171149 \nL 93.684247 170.836759 \nL 89.993524 168.150869 \nL 86.2569 165.106149 \nL 82.506207 161.700314 \nL 78.779028 157.937522 \nL 75.118858 153.829818 \nL 71.575028 149.398559 \nL 68.202374 144.67574 \nL 65.060496 139.704998 \nL 62.212616 134.542183 \nL 59.72395 129.255292 \nL 57.659569 123.92361 \nL 56.081857 118.635894 \nL 55.047612 113.487655 \nL 54.604882 108.577464 \nL 54.789902 104.002577 \nL 55.624225 99.854149 \nL 57.112506 96.212528 \nL 59.241067 93.143005 \nL 61.97754 90.692542 \nL 65.271691 88.887905 \nL 69.057369 87.73521 \nL 73.255569 87.221049 \nL 77.778142 87.314865 \nL 82.532082 87.972356 \nL 87.423715 89.139283 \nL 92.362714 90.755448 \nL 97.265457 92.758233 \nL 102.057608 95.085729 \nL 106.675854 97.679018 \nL 111.068759 100.483771 \nL 115.19686 103.451223 \nL 119.032103 106.538494 \nL 122.556842 109.708574 \nL 125.762515 112.929973 \nL 128.648148 116.176182 \nL 131.21886 119.425142 \nL 133.484398 122.658556 \nL 135.457818 125.86135 \nL 137.154318 129.021127 \nL 138.590262 132.127675 \nL 139.782375 135.17257 \nL 140.747126 138.14885 \nL 141.500252 141.050675 \nL 142.056432 143.873116 \nL 142.429051 146.611921 \nL 142.630088 149.263346 \nL 142.670044 151.824013 \nL 142.557947 154.290765 \nL 142.301382 156.660559 \nL 141.906564 158.930362 \nL 141.378412 161.097047 \nL 140.720652 163.157334 \nL 139.935921 165.107671 \nL 139.025866 166.944188 \nL 137.991255 168.662614 \nL 136.832089 170.258187 \nL 135.547711 171.725602 \nL 134.136906 173.05892 \nL 132.598034 174.251529 \nL 130.929144 175.296047 \nL 129.128102 176.184286 \nL 127.192737 176.907197 \nL 125.120993 177.45482 \nL 122.911116 177.816272 \nL 120.561841 177.97975 \nL 118.072641 177.932552 \nL 115.443954 177.661163 \nL 112.677485 177.151375 \nL 109.776536 176.388465 \nL 106.746366 175.357469 \nL 103.594563 174.043535 \nL 100.331494 172.432393 \nL 96.970741 170.510949 \nL 93.529546 168.26799 \nL 90.029273 165.695078 \nL 86.495807 162.787513 \nL 82.959919 159.545477 \nL 79.45748 155.975224 \nL 76.029534 152.090334 \nL 72.722195 147.912884 \nL 69.586199 143.474509 \nL 66.676189 138.817156 \nL 64.049607 133.993459 \nL 61.765186 129.066483 \nL 59.881035 124.108888 \nL 58.452356 119.201189 \nL 57.528915 114.429314 \nL 57.15237 109.881408 \nL 57.35363 105.644056 \nL 58.150483 101.798248 \nL 59.54578 98.415389 \nL 61.526278 95.553769 \nL 64.062394 93.255838 \nL 67.108983 91.546546 \nL 70.607011 90.432985 \nL 74.486118 89.905235 \nL 78.667856 89.938285 \nL 83.069243 90.49476 \nL 87.606402 91.528125 \nL 92.197971 92.985963 \nL 96.768061 94.813087 \nL 101.248553 96.954189 \nL 105.580698 99.355948 \nL 109.715988 101.96856 \nL 113.616364 104.746683 \nL 117.253856 107.649915 \nL 120.609826 110.642865 \nL 123.673885 113.694961 \nL 126.442671 116.780137 \nL 128.91855 119.876321 \nL 131.108361 122.964967 \nL 133.022252 126.030531 \nL 134.672602 129.060032 \nL 136.073157 132.042618 \nL 137.238257 134.969201 \nL 138.182251 137.832113 \nL 138.91904 140.624843 \nL 139.461734 143.341788 \nL 139.822409 145.978049 \nL 140.011974 148.529253 \nL 140.040076 150.991419 \nL 139.915086 153.3608 \nL 139.644103 155.633775 \nL 139.233009 157.806758 \nL 138.686526 159.87608 \nL 138.008299 161.837927 \nL 137.200999 163.688234 \nL 136.266403 165.422619 \nL 135.205514 167.036315 \nL 134.018649 168.524084 \nL 132.70557 169.880172 \nL 131.265585 171.098219 \nL 129.697671 172.171223 \nL 128.000606 173.091481 \nL 126.17311 173.850546 \nL 124.213998 174.439199 \nL 122.122349 174.847429 \nL 119.897703 175.06445 \nL 117.540258 175.078751 \nL 115.051113 174.87814 \nL 112.432546 174.449892 \nL 109.688292 173.780921 \nL 106.823861 172.858027 \nL 103.846898 171.668215 \nL 100.767552 170.199126 \nL 97.598858 168.439563 \nL 94.357135 166.380124 \nL 91.062355 164.013945 \nL 87.738492 161.337571 \nL 84.413805 158.351905 \nL 81.121013 155.063244 \nL 77.897345 151.484307 \nL 74.784405 147.635235 \nL 71.827792 143.544462 \nL 69.076494 139.249364 \nL 66.58188 134.796535 \nL 64.396446 130.241635 \nL 62.572186 125.648663 \nL 61.1587 121.088604 \nL 60.200997 116.637388 \nL 59.737261 112.373299 \nL 59.796617 108.373888 \nL 60.397044 104.712578 \nL 61.543788 101.455271 \nL 63.228216 98.65732 \nL 65.427506 96.36101 \nL 68.105024 94.593903 \nL 71.211615 93.368166 \nL 74.687545 92.680958 \nL 78.465104 92.515706 \nL 82.471511 92.844146 \nL 86.632064 93.628824 \nL 90.873058 94.825851 \nL 95.12451 96.387579 \nL 99.322326 98.264981 \nL 103.40995 100.409691 \nL 107.339369 102.775556 \nL 111.071588 105.319698 \nL 114.576539 108.003134 \nL 117.832642 110.791087 \nL 120.826011 113.652983 \nL 123.549491 116.562283 \nL 126.001595 119.49615 \nL 128.185414 122.435077 \nL 130.107553 125.362461 \nL 131.777189 128.264225 \nL 133.205217 131.12843 \nL 134.403526 133.944938 \nL 135.384391 136.705092 \nL 136.160003 139.401446 \nL 136.742107 142.027533 \nL 137.141726 144.577659 \nL 137.368977 147.046719 \nL 137.432962 149.43005 \nL 137.341705 151.72328 \nL 137.102134 153.922228 \nL 136.720106 156.022774 \nL 136.200444 158.020775 \nL 135.547003 159.911981 \nL 134.762754 161.691937 \nL 133.849861 163.355919 \nL 132.809781 164.898859 \nL 131.643372 166.315276 \nL 130.350988 167.599225 \nL 128.932607 168.744224 \nL 127.387943 169.743216 \nL 125.716586 170.588537 \nL 123.91815 171.271871 \nL 121.992414 171.784258 \nL 119.939505 172.116091 \nL 117.760086 172.257151 \nL 115.455571 172.196661 \nL 113.028356 171.923399 \nL 110.482066 171.425856 \nL 107.821846 170.69242 \nL 105.054653 169.711664 \nL 102.189581 168.47269 \nL 99.238181 166.965567 \nL 96.214816 165.181843 \nL 93.136961 163.11518 \nL 90.025519 160.762041 \nL 86.905055 158.122494 \nL 83.803988 155.201063 \nL 80.754648 152.007586 \nL 77.79319 148.558077 \nL 74.959345 144.875495 \nL 72.295928 140.990338 \nL 69.848152 136.941015 \nL 67.662584 132.773822 \nL 65.785896 128.542555 \nL 64.263331 124.307587 \nL 63.136959 120.134425 \nL 62.443805 116.091737 \nL 62.213897 112.24894 \nL 62.468477 108.673512 \nL 63.218392 105.428128 \nL 64.462976 102.567899 \nL 66.189329 100.138012 \nL 68.372324 98.171838 \nL 70.975236 96.689908 \nL 73.951063 95.69956 \nL 77.244345 95.195474 \nL 80.793454 95.160925 \nL 84.533164 95.569591 \nL 88.397201 96.38764 \nL 92.320728 97.576045 \nL 96.242512 99.092722 \nL 100.106687 100.894516 \nL 103.864024 102.938836 \nL 107.472724 105.184913 \nL 110.898748 107.594668 \nL 114.115732 110.133276 \nL 117.104557 112.769414 \nL 119.852709 115.475291 \nL 122.353443 118.226525 \nL 124.6049 121.001897 \nL 126.609185 123.783062 \nL 128.371493 126.55423 \nL 129.899281 129.301825 \nL 131.201573 132.014154 \nL 132.288314 134.681157 \nL 133.169858 137.294097 \nL 133.856555 139.845355 \nL 134.358438 142.328196 \nL 134.684971 144.736598 \nL 134.844891 147.065087 \nL 134.846088 149.308588 \nL 134.695558 151.462294 \nL 134.39938 153.521573 \nL 133.962729 155.481846 \nL 133.38992 157.338496 \nL 132.684452 159.086801 \nL 131.849088 160.721829 \nL 130.885938 162.238391 \nL 129.796546 163.630969 \nL 128.581992 164.893661 \nL 127.243005 166.020132 \nL 125.78008 167.003563 \nL 124.193609 167.836631 \nL 122.484002 168.511495 \nL 120.651862 169.01977 \nL 118.698129 169.352567 \nL 116.62428 169.500521 \nL 114.432508 169.453873 \nL 112.125956 169.202571 \nL 109.708932 168.736427 \nL 107.187174 168.045305 \nL 104.568116 167.119399 \nL 101.861165 165.949552 \nL 99.077994 164.527662 \nL 96.23281 162.847147 \nL 93.342632 160.903506 \nL 90.427532 158.694928 \nL 87.510817 156.222994 \nL 84.619141 153.493368 \nL 81.782523 150.516546 \nL 79.034221 147.308554 \nL 76.410468 143.891529 \nL 73.950016 140.294187 \nL 71.693452 136.552062 \nL 69.682278 132.707416 \nL 67.95783 128.808853 \nL 66.559915 124.910442 \nL 65.525346 121.070474 \nL 64.886324 117.349789 \nL 64.668836 113.809735 \nL 64.891147 110.5099 \nL 65.562493 107.505759 \nL 66.682114 104.846369 \nL 68.238741 102.572393 \nL 70.21054 100.714527 \nL 72.565645 99.292538 \nL 75.263234 98.314924 \nL 78.255022 97.779285 \nL 81.487154 97.673194 \nL 84.902324 97.975646 \nL 88.441944 98.658711 \nL 92.048232 99.689432 \nL 95.666088 101.031624 \nL 99.244664 102.647544 \nL 102.738526 104.499386 \nL 106.108452 106.550387 \nL 109.321816 108.765738 \nL 112.352611 111.113122 \nL 115.181221 113.563035 \nL 117.793913 116.088954 \nL 120.182228 118.667262 \nL 122.342221 121.277138 \nL 124.273733 123.900313 \nL 125.979608 126.520859 \nL 127.464999 129.124879 \nL 128.736721 131.700298 \nL 129.802672 134.236567 \nL 130.671374 136.724438 \nL 131.351563 139.155747 \nL 131.851867 141.523217 \nL 132.180583 143.820307 \nL 132.345493 146.041016 \nL 132.353724 148.179779 \nL 132.21171 150.231337 \nL 131.92513 152.190609 \nL 131.498918 154.05261 \nL 130.937286 155.812349 \nL 130.243759 157.464774 \nL 129.421243 159.004672 \nL 128.4721 160.426608 \nL 127.398235 161.724888 \nL 126.201173 162.893482 \nL 124.882196 163.926007 \nL 123.442423 164.815675 \nL 121.882974 165.555295 \nL 120.205067 166.13726 \nL 118.410201 166.553554 \nL 116.500293 166.795806 \nL 114.477875 166.855341 \nL 112.346262 166.723262 \nL 110.109781 166.390603 \nL 107.773973 165.848475 \nL 105.345828 165.088317 \nL 102.834033 164.10215 \nL 100.249209 162.882919 \nL 97.60416 161.424875 \nL 94.914084 159.724044 \nL 92.196796 157.778744 \nL 89.472882 155.590154 \nL 86.765791 153.16288 \nL 84.101874 150.5056 \nL 81.5103 147.63162 \nL 79.022815 144.559407 \nL 76.673424 141.312991 \nL 74.497847 137.922206 \nL 72.532809 134.422701 \nL 70.81511 130.85568 \nL 69.380617 127.267319 \nL 68.262989 123.707851 \nL 67.4924 120.230243 \nL 67.09418 116.88869 \nL 67.087497 113.736755 \nL 67.484169 110.825452 \nL 68.287772 108.201268 \nL 69.49297 105.904408 \nL 71.085306 103.967279 \nL 73.041411 102.413394 \nL 75.32963 101.256755 \nL 77.911112 100.501825 \nL 80.741204 100.143943 \nL 83.771108 100.170236 \nL 86.949675 100.560848 \nL 90.225231 101.29034 \nL 93.547256 102.32927 \nL 96.867894 103.645627 \nL 100.143182 105.206223 \nL 103.333952 106.977856 \nL 106.406427 108.928207 \nL 109.332476 111.026552 \nL 112.089622 113.244241 \nL 114.66079 115.554952 \nL 117.033906 117.93482 \nL 119.201352 120.362414 \nL 121.159361 122.818671 \nL 122.907379 125.286669 \nL 124.447442 127.751502 \nL 125.783583 130.200039 \nL 126.921294 132.620678 \nL 127.86704 135.003168 \nL 128.627871 137.338422 \nL 129.211072 139.618306 \nL 129.623901 141.835476 \nL 129.873368 143.983235 \nL 129.966106 146.055385 \nL 129.908242 148.046117 \nL 129.705339 149.94989 \nL 129.362377 151.761322 \nL 128.883731 153.475123 \nL 128.273207 155.086006 \nL 127.534085 156.588604 \nL 126.66917 157.977421 \nL 125.680865 159.246771 \nL 124.571251 160.390729 \nL 123.342189 161.403114 \nL 121.995427 162.277434 \nL 120.532698 163.006896 \nL 118.955872 163.584397 \nL 117.267072 164.002548 \nL 115.468837 164.253705 \nL 113.564275 164.33004 \nL 111.557245 164.223635 \nL 109.452531 163.926603 \nL 107.256048 163.431261 \nL 104.975041 162.730309 \nL 102.618287 161.817122 \nL 100.196313 160.686019 \nL 97.721586 159.332622 \nL 95.208722 157.75427 \nL 92.674617 155.950436 \nL 90.13858 153.923237 \nL 87.622402 151.677916 \nL 85.150332 149.223341 \nL 82.749003 146.572496 \nL 80.447183 143.742871 \nL 78.275483 140.756769 \nL 76.265813 137.641493 \nL 74.450821 134.429289 \nL 72.863063 131.157108 \nL 71.534106 127.866062 \nL 70.493489 124.600653 \nL 69.767621 121.407673 \nL 69.378634 118.334909 \nL 69.343326 115.429614 \nL 69.672154 112.736914 \nL 70.368482 110.298206 \nL 71.428046 108.14966 \nL 72.838714 106.3209 \nL 74.580695 104.834124 \nL 76.62701 103.703503 \nL 78.944334 102.935014 \nL 81.494138 102.526777 \nL 84.234064 102.469635 \nL 87.11938 102.748132 \nL 90.104507 103.341662 \nL 93.144458 104.225644 \nL 96.196159 105.372836 \nL 99.219524 106.754452 \nL 102.17832 108.341189 \nL 105.040747 110.104078 \nL 107.779754 112.015188 \nL 110.373149 114.048058 \nL 112.803449 116.178062 \nL 115.057629 118.382543 \nL 117.126695 120.640911 \nL 119.005226 122.934562 \nL 120.690841 125.246816 \nL 122.183683 127.562785 \nL 123.485897 129.869184 \nL 124.601163 132.154197 \nL 125.534267 134.407253 \nL 126.290732 136.618889 \nL 126.876484 138.780582 \nL 127.297616 140.884598 \nL 127.56016 142.923836 \nL 127.669945 144.891729 \nL 127.63247 146.782095 \nL 127.452836 148.589071 \nL 127.135703 150.306985 \nL 126.685282 151.930288 \nL 126.105327 153.453485 \nL 125.399186 154.871049 \nL 124.569831 156.177385 \nL 123.619931 157.366777 \nL 122.551924 158.43333 \nL 121.368106 159.370962 \nL 120.070721 160.173388 \nL 118.662074 160.834104 \nL 117.144655 161.346399 \nL 115.52126 161.703395 \nL 113.795141 161.898097 \nL 111.97014 161.92345 \nL 110.05087 161.772461 \nL 108.042854 161.438312 \nL 105.952732 160.914536 \nL 103.788411 160.195225 \nL 103.788411 160.195225 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb35b92d22f\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:36:15.230563</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m25c262da56\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.168785\" xlink:href=\"#m25c262da56\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(43.616441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"115.192178\" xlink:href=\"#m25c262da56\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(107.821084 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.215571\" xlink:href=\"#m25c262da56\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(173.034321 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"237.238963\" xlink:href=\"#m25c262da56\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(234.057713 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"298.262356\" xlink:href=\"#m25c262da56\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(291.899856 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"359.285749\" xlink:href=\"#m25c262da56\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(352.923249 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m0ada042b11\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ada042b11\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ada042b11\" y=\"221.040924\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 5 -->\n      <g transform=\"translate(13.5625 224.840142)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ada042b11\" y=\"180.865847\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 184.665066)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ada042b11\" y=\"140.690771\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 15 -->\n      <g transform=\"translate(7.2 144.48999)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ada042b11\" y=\"100.515695\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 104.314914)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ada042b11\" y=\"60.340619\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 25 -->\n      <g transform=\"translate(7.2 64.139837)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ada042b11\" y=\"20.165542\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 23.964761)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p56046b6809)\" d=\"M 188.420249 261.216 \nL 183.354618 261.143015 \nL 183.43252 261.115768 \nL 186.115333 260.896153 \nL 191.735012 260.3656 \nL 196.729447 259.712785 \nL 203.346685 258.571762 \nL 208.889725 257.370515 \nL 215.533268 255.632791 \nL 219.326843 254.493417 \nL 223.468655 253.126169 \nL 227.984798 251.487338 \nL 232.901391 249.525683 \nL 238.243818 247.181509 \nL 244.035685 244.385832 \nL 250.297384 241.059723 \nL 257.044231 237.114014 \nL 264.284061 232.449592 \nL 272.014131 226.958623 \nL 280.217339 220.527096 \nL 288.857567 213.03923 \nL 297.874349 204.384311 \nL 307.176724 194.466537 \nL 316.636882 183.218323 \nL 326.083922 170.617198 \nL 335.298758 156.705653 \nL 344.011511 141.612336 \nL 351.903076 125.571601 \nL 358.61273 108.93667 \nL 363.753851 92.180574 \nL 366.938721 75.878867 \nL 367.812273 60.670057 \nL 366.092172 47.194049 \nL 361.610045 36.015957 \nL 354.346268 27.549435 \nL 344.450056 21.997899 \nL 332.238173 19.329839 \nL 318.169939 19.296 \nL 302.802074 21.483496 \nL 286.731825 25.391181 \nL 270.53962 30.505969 \nL 254.741299 36.363649 \nL 239.756291 42.585434 \nL 225.893253 48.89056 \nL 213.350854 55.090843 \nL 202.229316 61.074882 \nL 192.547788 66.788747 \nL 184.263577 72.217572 \nL 177.29049 77.370383 \nL 171.51471 82.268912 \nL 166.807634 86.939917 \nL 163.035654 91.410464 \nL 160.067222 95.705319 \nL 157.777646 99.845753 \nL 156.052085 103.849238 \nL 154.787178 107.729719 \nL 153.891667 111.498018 \nL 153.286303 115.162409 \nL 152.903278 118.729145 \nL 152.685347 122.202917 \nL 152.562287 128.884699 \nL 152.655869 146.933974 \nL 152.426289 152.31132 \nL 151.968228 157.375932 \nL 151.254503 162.128937 \nL 150.265224 166.56907 \nL 148.982333 170.692049 \nL 147.386243 174.489696 \nL 146.463693 176.26265 \nL 145.453833 177.9489 \nL 144.353053 179.54581 \nL 143.157431 181.050268 \nL 141.862729 182.458604 \nL 140.464408 183.76655 \nL 138.957647 184.969155 \nL 137.337362 186.060727 \nL 135.598251 187.034744 \nL 133.734842 187.883766 \nL 131.74155 188.599378 \nL 129.612776 189.172087 \nL 127.343001 189.591234 \nL 124.926906 189.844934 \nL 122.359547 189.920006 \nL 119.636535 189.801922 \nL 116.754275 189.474798 \nL 113.710223 188.921407 \nL 110.503238 188.123266 \nL 107.133938 187.060775 \nL 103.605161 185.713457 \nL 99.922438 184.060318 \nL 96.094567 182.080315 \nL 92.134224 179.75305 \nL 88.058616 177.059588 \nL 83.890151 173.98353 \nL 79.657122 170.51231 \nL 75.394331 166.638694 \nL 71.143605 162.36246 \nL 66.954159 157.69226 \nL 62.88269 152.647479 \nL 58.993119 147.260025 \nL 55.355923 141.575816 \nL 52.046861 135.65576 \nL 49.145117 129.57602 \nL 46.730814 123.4272 \nL 44.881832 117.312403 \nL 43.670135 111.34398 \nL 43.157727 105.638974 \nL 43.392573 100.313627 \nL 44.404726 95.477213 \nL 46.20324 91.225822 \nL 48.774056 87.636878 \nL 52.079358 84.76485 \nL 56.058447 82.63881 \nL 60.630243 81.262021 \nL 65.697198 80.613673 \nL 71.150239 80.652232 \nL 76.874313 81.32009 \nL 82.753976 82.548726 \nL 88.678531 84.263857 \nL 94.546373 86.390036 \nL 100.26823 88.854373 \nL 105.769225 91.58916 \nL 110.989795 94.533633 \nL 115.885623 97.634686 \nL 120.426744 100.847003 \nL 124.596094 104.132684 \nL 128.387718 107.460525 \nL 131.804798 110.80521 \nL 134.85771 114.146415 \nL 137.562175 117.467988 \nL 139.937608 120.757179 \nL 142.005697 124.003994 \nL 143.789226 127.200633 \nL 145.311124 130.341042 \nL 146.593747 133.420548 \nL 147.658349 136.435533 \nL 148.52472 139.383231 \nL 149.210946 142.261512 \nL 149.733303 145.068744 \nL 150.106211 147.803654 \nL 150.342259 150.465255 \nL 150.452268 153.052733 \nL 150.32922 158.002595 \nL 149.792302 162.64803 \nL 148.875601 166.983114 \nL 147.595657 170.999801 \nL 146.820612 172.885315 \nL 145.954555 174.68656 \nL 144.995912 176.401316 \nL 143.942486 178.026961 \nL 142.791526 179.560423 \nL 141.539776 180.998115 \nL 140.18352 182.335869 \nL 138.71864 183.568881 \nL 137.140658 184.691632 \nL 135.444802 185.697817 \nL 133.626073 186.580264 \nL 131.679314 187.330857 \nL 129.599307 187.940455 \nL 127.38087 188.398805 \nL 125.019008 188.694489 \nL 122.509042 188.814848 \nL 119.846811 188.745944 \nL 117.028898 188.472536 \nL 114.052889 187.978118 \nL 110.917678 187.244973 \nL 107.623835 186.25432 \nL 104.17402 184.986527 \nL 100.573453 183.421448 \nL 96.83045 181.53887 \nL 92.956993 179.319137 \nL 88.96935 176.743934 \nL 84.888726 173.797286 \nL 80.741898 170.46674 \nL 76.56181 166.744786 \nL 72.388089 162.630428 \nL 68.267397 158.130924 \nL 64.253554 153.263559 \nL 60.407351 148.057339 \nL 56.795936 142.554461 \nL 53.491704 136.811324 \nL 50.570639 130.898863 \nL 48.109977 124.902011 \nL 46.185374 118.917987 \nL 44.867422 113.053502 \nL 44.217904 107.420633 \nL 44.285877 102.131823 \nL 45.103979 97.29409 \nL 46.685281 93.00319 \nL 49.021124 89.338201 \nL 52.08015 86.357178 \nL 55.808819 84.094402 \nL 60.133478 82.559546 \nL 64.963713 81.738754 \nL 70.196888 81.597468 \nL 75.723234 82.084514 \nL 81.43124 83.136891 \nL 87.212626 84.684652 \nL 92.966724 86.655429 \nL 98.603847 88.978219 \nL 104.047559 91.586187 \nL 109.2359 94.418553 \nL 114.12155 97.421615 \nL 118.671225 100.549074 \nL 122.864454 103.761774 \nL 126.691958 107.027195 \nL 130.153829 110.318699 \nL 133.25766 113.614709 \nL 136.016759 116.897923 \nL 138.448506 120.154562 \nL 140.572921 123.373729 \nL 142.411469 126.546859 \nL 143.986072 129.667208 \nL 145.318352 132.72951 \nL 146.429057 135.729668 \nL 147.337658 138.664485 \nL 148.062076 141.531456 \nL 148.618538 144.328626 \nL 149.021502 147.054456 \nL 149.283663 149.707696 \nL 149.41599 152.287312 \nL 149.427815 154.792408 \nL 149.119671 159.575773 \nL 148.40501 164.051078 \nL 147.310259 168.210294 \nL 146.624135 170.168144 \nL 145.845783 172.042638 \nL 144.974455 173.831769 \nL 144.008723 175.533168 \nL 142.946544 177.144062 \nL 141.785319 178.661225 \nL 140.521944 180.08091 \nL 139.15287 181.398787 \nL 137.67415 182.609883 \nL 136.081503 183.70852 \nL 134.37037 184.688222 \nL 132.535992 185.54165 \nL 130.573486 186.260542 \nL 128.477949 186.835604 \nL 126.244561 187.256474 \nL 123.868744 187.51163 \nL 121.346295 187.588373 \nL 118.6736 187.472757 \nL 115.847871 187.149632 \nL 112.867399 186.602655 \nL 109.731885 185.814399 \nL 106.442803 184.766513 \nL 103.003806 183.439969 \nL 99.421221 181.815443 \nL 95.704552 179.873785 \nL 91.86705 177.59668 \nL 87.926301 174.96747 \nL 83.904857 171.972163 \nL 79.830803 168.600629 \nL 75.738319 164.848016 \nL 71.668071 160.716279 \nL 67.667508 156.215832 \nL 63.790845 151.367218 \nL 60.098758 146.202622 \nL 56.657637 140.767131 \nL 53.538343 135.11948 \nL 50.814459 129.332098 \nL 48.559882 123.49028 \nL 46.845962 117.690255 \nL 45.738134 112.036129 \nL 45.292291 106.63581 \nL 45.551137 101.595995 \nL 46.540826 97.016759 \nL 48.268236 92.986071 \nL 50.719226 89.574966 \nL 53.858121 86.833818 \nL 57.628564 84.790183 \nL 61.955748 83.448429 \nL 66.749948 82.791161 \nL 71.910878 82.782119 \nL 77.332645 83.370192 \nL 82.908714 84.493894 \nL 88.53652 86.085961 \nL 94.121411 88.077427 \nL 99.579609 90.400984 \nL 104.840189 92.993519 \nL 109.846026 95.797763 \nL 114.553844 98.763139 \nL 118.933522 101.84597 \nL 122.966891 105.009292 \nL 126.646175 108.222298 \nL 129.972256 111.459642 \nL 132.952932 114.700726 \nL 135.601234 117.92892 \nL 137.933916 121.130923 \nL 139.970116 124.29613 \nL 141.730253 127.416126 \nL 143.23512 130.484245 \nL 144.505173 133.495245 \nL 145.560016 136.444974 \nL 146.418014 139.330151 \nL 147.096064 142.148164 \nL 147.609441 144.896937 \nL 147.971737 147.574782 \nL 148.194871 150.180299 \nL 148.289123 152.71229 \nL 148.263214 155.169678 \nL 148.124392 157.551448 \nL 147.530285 162.084048 \nL 146.539377 166.301133 \nL 145.900596 168.287972 \nL 145.167335 170.191439 \nL 144.339389 172.009527 \nL 143.415843 173.739899 \nL 142.39513 175.379828 \nL 141.275096 176.926155 \nL 140.053067 178.375235 \nL 138.7259 179.722874 \nL 137.290039 180.964253 \nL 135.741586 182.093894 \nL 134.07635 183.105558 \nL 132.289938 183.992188 \nL 130.377818 184.745846 \nL 128.335425 185.357628 \nL 126.158279 185.817602 \nL 123.842107 186.114757 \nL 121.383005 186.236964 \nL 118.77762 186.170918 \nL 116.023386 185.902192 \nL 113.118755 185.415222 \nL 110.063518 184.693433 \nL 106.859152 183.719393 \nL 103.50919 182.475033 \nL 100.01969 180.941993 \nL 96.399709 179.102081 \nL 92.661833 176.937887 \nL 88.822741 174.433512 \nL 84.903775 171.575537 \nL 80.93149 168.354124 \nL 76.938155 164.764292 \nL 72.962174 160.807382 \nL 69.048324 156.492558 \nL 65.247805 151.838373 \nL 61.61793 146.874204 \nL 58.221539 141.641447 \nL 55.125837 136.194293 \nL 52.400824 130.599876 \nL 50.117137 124.937582 \nL 48.343414 119.297479 \nL 47.143241 113.777605 \nL 46.571728 108.480351 \nL 46.672141 103.507922 \nL 47.472679 98.957375 \nL 48.983796 94.915485 \nL 51.196355 91.45405 \nL 54.080885 88.626221 \nL 57.588117 86.464043 \nL 61.650799 84.977768 \nL 66.186653 84.156685 \nL 71.102344 83.971476 \nL 76.297971 84.377665 \nL 81.671743 85.319743 \nL 87.124406 86.735351 \nL 92.563137 88.559309 \nL 97.904599 90.726913 \nL 103.077075 93.176614 \nL 108.021655 95.851785 \nL 112.692536 98.70176 \nL 117.056606 101.682308 \nL 121.092465 104.755561 \nL 124.789068 107.889596 \nL 128.14414 111.057913 \nL 131.162556 114.238736 \nL 133.854729 117.414333 \nL 136.235127 120.57036 \nL 138.320957 123.695275 \nL 140.13105 126.779854 \nL 141.684927 129.816693 \nL 143.002061 132.799893 \nL 144.101319 135.724748 \nL 145.000547 138.587482 \nL 145.716293 141.385066 \nL 146.263628 144.115034 \nL 146.656058 146.775354 \nL 146.905497 149.364327 \nL 147.022286 151.88048 \nL 147.015253 154.322487 \nL 146.891789 156.689109 \nL 146.657938 158.979117 \nL 146.318501 161.191249 \nL 145.877125 163.324156 \nL 145.336413 165.376342 \nL 144.698004 167.346131 \nL 143.962666 169.231606 \nL 143.130381 171.030583 \nL 142.200411 172.740534 \nL 141.171378 174.358547 \nL 140.04132 175.881288 \nL 138.807762 177.304919 \nL 137.467771 178.625057 \nL 136.018022 179.836712 \nL 134.454863 180.9342 \nL 132.774385 181.911113 \nL 130.972504 182.760227 \nL 129.045041 183.473441 \nL 126.987834 184.041721 \nL 124.796855 184.455036 \nL 122.468345 184.702322 \nL 119.998989 184.771425 \nL 117.386108 184.649127 \nL 114.627882 184.321152 \nL 111.723623 183.77222 \nL 108.674077 182.986179 \nL 105.481764 181.946193 \nL 102.151379 180.634991 \nL 98.690239 179.035269 \nL 95.108743 177.13017 \nL 91.420875 174.903915 \nL 87.644764 172.34259 \nL 83.803176 169.435114 \nL 79.924028 166.174322 \nL 76.040812 162.55826 \nL 72.192922 158.591541 \nL 68.425773 154.286786 \nL 64.790718 149.666026 \nL 61.344651 144.761934 \nL 58.149212 139.618809 \nL 55.269571 134.293049 \nL 52.772711 128.85299 \nL 50.725278 123.377959 \nL 49.190906 117.95643 \nL 48.227266 112.68316 \nL 47.882894 107.655574 \nL 48.194071 102.969381 \nL 49.181979 98.713836 \nL 50.850459 94.967193 \nL 53.18466 91.792561 \nL 56.150677 89.23483 \nL 59.696446 87.318919 \nL 63.753762 86.049425 \nL 68.241337 85.411896 \nL 73.068627 85.375222 \nL 78.140074 85.895004 \nL 83.359428 86.917358 \nL 88.633743 88.382805 \nL 93.876811 90.229782 \nL 99.011804 92.397615 \nL 103.973074 94.828834 \nL 108.707069 97.470656 \nL 113.172476 100.275911 \nL 117.339737 103.203341 \nL 121.190055 106.217545 \nL 124.714117 109.288606 \nL 127.910597 112.391545 \nL 130.784655 115.505763 \nL 133.346456 118.614357 \nL 135.609815 121.703579 \nL 137.590996 124.762272 \nL 139.30769 127.781441 \nL 140.778165 130.753806 \nL 142.020604 133.673489 \nL 143.052587 136.535747 \nL 143.890726 139.336734 \nL 144.5504 142.073291 \nL 145.045603 144.742807 \nL 145.388857 147.343098 \nL 145.591186 149.87227 \nL 145.662145 152.328645 \nL 145.609861 154.710684 \nL 145.441117 157.016923 \nL 145.161422 159.245874 \nL 144.775111 161.396022 \nL 144.285435 163.465733 \nL 143.694651 165.453215 \nL 143.004112 167.356468 \nL 142.214349 169.173238 \nL 141.325142 170.900967 \nL 140.335607 172.536734 \nL 139.244255 174.077215 \nL 138.049061 175.518616 \nL 136.747529 176.856616 \nL 135.336766 178.086325 \nL 133.813538 179.20221 \nL 132.174351 180.198036 \nL 130.415535 181.066789 \nL 128.533322 181.800646 \nL 126.523962 182.390888 \nL 124.38384 182.827874 \nL 122.109599 183.100975 \nL 119.698328 183.198584 \nL 117.147724 183.108071 \nL 114.456336 182.815851 \nL 111.623799 182.307417 \nL 108.651136 181.567491 \nL 105.541078 180.580171 \nL 102.298448 179.329221 \nL 98.930561 177.798418 \nL 95.447673 175.972023 \nL 91.863453 173.83537 \nL 88.195471 171.375623 \nL 84.465678 168.582636 \nL 80.700881 165.45002 \nL 76.933092 161.976271 \nL 73.19986 158.166073 \nL 69.544343 154.031585 \nL 66.015241 149.593743 \nL 62.666385 144.883381 \nL 59.556053 139.942132 \nL 56.74577 134.822854 \nL 54.298831 129.589522 \nL 52.278216 124.316375 \nL 50.744216 119.086262 \nL 49.751698 113.988102 \nL 49.34721 109.113603 \nL 49.566075 104.553279 \nL 50.429745 100.392186 \nL 51.943714 96.705711 \nL 54.096144 93.555677 \nL 56.857438 90.987417 \nL 60.180897 89.02792 \nL 64.004461 87.685353 \nL 68.25336 86.949894 \nL 72.843535 86.795765 \nL 77.685514 87.184084 \nL 82.688382 88.066347 \nL 87.76352 89.387933 \nL 92.827919 91.091401 \nL 97.806782 93.119373 \nL 102.635359 95.416815 \nL 107.259985 97.932585 \nL 111.638412 100.620461 \nL 115.739498 103.439585 \nL 119.542414 106.354509 \nL 123.035539 109.334981 \nL 126.215125 112.355499 \nL 129.083919 115.39479 \nL 131.649777 118.435247 \nL 133.924382 121.4624 \nL 135.92208 124.46442 \nL 137.658874 127.43162 \nL 139.151589 130.356123 \nL 140.417199 133.231507 \nL 141.472289 136.052509 \nL 142.332674 138.814814 \nL 143.013112 141.514843 \nL 143.527121 144.149608 \nL 143.886874 146.716558 \nL 144.103161 149.213485 \nL 144.185378 151.638412 \nL 144.14157 153.989516 \nL 143.978492 156.26505 \nL 143.701666 158.463289 \nL 143.315478 160.582456 \nL 142.823258 162.620673 \nL 142.227361 164.575918 \nL 141.52926 166.445952 \nL 140.729618 168.228294 \nL 139.828367 169.920138 \nL 138.82479 171.518335 \nL 137.717582 173.019314 \nL 136.504926 174.419045 \nL 135.184556 175.712975 \nL 133.753837 176.895979 \nL 132.209827 177.962279 \nL 130.549369 178.905423 \nL 128.769169 179.718192 \nL 126.865895 180.392571 \nL 124.8363 180.919686 \nL 122.677329 181.289776 \nL 120.386286 181.492173 \nL 117.960996 181.515269 \nL 115.399997 181.346565 \nL 112.70279 180.972697 \nL 109.870073 180.379552 \nL 106.90405 179.552415 \nL 103.808773 178.476177 \nL 100.590487 177.135648 \nL 97.258048 175.515957 \nL 93.823346 173.603042 \nL 90.301746 171.384297 \nL 86.712538 168.84934 \nL 83.079381 165.99089 \nL 79.43065 162.805822 \nL 75.799763 159.29625 \nL 72.225337 155.470748 \nL 68.751184 151.345525 \nL 65.426037 146.945522 \nL 62.303065 142.305344 \nL 59.438974 137.469833 \nL 56.892716 132.494224 \nL 54.723898 127.443681 \nL 52.990656 122.392126 \nL 51.747359 117.420372 \nL 51.04196 112.613413 \nL 50.913358 108.057165 \nL 51.388799 103.834663 \nL 52.48174 100.022181 \nL 54.190143 96.685451 \nL 56.495642 93.876518 \nL 59.363574 91.631444 \nL 62.744008 89.969094 \nL 66.573683 88.891169 \nL 70.77876 88.383357 \nL 75.278113 88.417487 \nL 79.986921 88.954326 \nL 84.820275 89.946749 \nL 89.696485 91.342863 \nL 94.539867 93.088937 \nL 99.282918 95.131805 \nL 103.867785 97.420802 \nL 108.246997 99.909047 \nL 112.3836 102.554211 \nL 116.250748 105.318899 \nL 119.830882 108.170605 \nL 123.114681 111.081499 \nL 126.099821 114.028025 \nL 128.789707 116.990413 \nL 131.192216 119.952233 \nL 133.318554 122.899863 \nL 135.182219 125.822067 \nL 136.798102 128.709589 \nL 138.181757 131.554797 \nL 139.348791 134.351408 \nL 140.314407 137.094204 \nL 141.093057 139.778838 \nL 141.698193 142.401657 \nL 142.142107 144.959542 \nL 142.435847 147.449787 \nL 142.589175 149.869994 \nL 142.610562 152.217964 \nL 142.507234 154.491628 \nL 142.285217 156.688986 \nL 141.949406 158.808015 \nL 141.503642 160.846638 \nL 140.950785 162.802649 \nL 140.292798 164.673664 \nL 139.530832 166.457063 \nL 138.665291 168.149957 \nL 137.695913 169.749112 \nL 136.621845 171.250911 \nL 135.441714 172.651308 \nL 134.153699 173.945753 \nL 132.755602 175.129147 \nL 131.244933 176.195808 \nL 129.618977 177.13938 \nL 127.874902 177.952808 \nL 126.009849 178.628283 \nL 124.021044 179.157207 \nL 121.905935 179.530147 \nL 119.662322 179.736835 \nL 117.288553 179.766161 \nL 114.783685 179.6062 \nL 112.14773 179.244279 \nL 109.381892 178.667072 \nL 106.488859 177.860755 \nL 103.473114 176.811244 \nL 100.341284 175.504478 \nL 97.102512 173.92681 \nL 93.768851 172.065504 \nL 90.355671 169.909333 \nL 86.882076 167.449302 \nL 83.371265 164.679496 \nL 79.850887 161.598005 \nL 76.353269 158.207981 \nL 72.915535 154.518708 \nL 69.579587 150.546656 \nL 66.391796 146.316468 \nL 63.4025 141.861745 \nL 60.665126 137.225536 \nL 58.235006 132.460401 \nL 56.167833 127.62791 \nL 54.517754 122.79758 \nL 53.335191 118.045073 \nL 52.664489 113.449776 \nL 52.541461 109.091749 \nL 52.99111 105.048387 \nL 54.025668 101.390862 \nL 55.643087 98.180767 \nL 57.826292 95.467236 \nL 60.543204 93.284859 \nL 63.747687 91.652547 \nL 67.381228 90.573473 \nL 71.37546 90.036051 \nL 75.655086 90.01576 \nL 80.141136 90.477612 \nL 84.754234 91.378955 \nL 89.417625 92.672311 \nL 94.059781 94.307994 \nL 98.61644 96.236427 \nL 103.032025 98.409884 \nL 107.26041 100.783816 \nL 111.26514 103.317655 \nL 115.019142 105.975171 \nL 118.50405 108.72464 \nL 121.709289 111.538615 \nL 124.630977 114.393662 \nL 127.270786 117.269936 \nL 129.63478 120.150746 \nL 131.732372 123.022145 \nL 133.575328 125.872534 \nL 135.176929 128.69224 \nL 136.551265 131.473219 \nL 137.712633 134.208758 \nL 138.6751 136.893255 \nL 139.45213 139.521974 \nL 140.056352 142.0909 \nL 140.499375 144.596563 \nL 140.791684 147.035912 \nL 140.942591 149.406234 \nL 140.960224 151.705017 \nL 140.851545 153.929907 \nL 140.622391 156.078599 \nL 140.277533 158.148793 \nL 139.820738 160.138129 \nL 139.254847 162.044125 \nL 138.581843 163.864114 \nL 137.80293 165.595207 \nL 136.918609 167.234239 \nL 135.928749 168.777693 \nL 134.832662 170.221684 \nL 133.629178 171.561882 \nL 132.31672 172.793468 \nL 130.89338 173.911094 \nL 129.357003 174.908796 \nL 127.705274 175.780002 \nL 125.935817 176.517438 \nL 124.046307 177.11312 \nL 122.034578 177.558312 \nL 119.898769 177.843514 \nL 117.637488 177.958471 \nL 115.249979 177.89218 \nL 112.736317 177.632963 \nL 110.097661 177.168529 \nL 107.33649 176.486143 \nL 104.456896 175.5728 \nL 101.464883 174.415481 \nL 98.368727 173.001513 \nL 95.179323 171.31898 \nL 91.91054 169.357252 \nL 88.579614 167.107619 \nL 85.207479 164.564025 \nL 81.819085 161.723905 \nL 78.443639 158.589089 \nL 75.114732 155.166773 \nL 71.870339 151.470467 \nL 68.752651 147.52092 \nL 65.807608 143.346877 \nL 63.084247 138.985579 \nL 60.633712 134.482986 \nL 58.507935 129.89349 \nL 56.758026 125.279143 \nL 55.432393 120.708259 \nL 54.574647 116.253482 \nL 54.221418 111.989218 \nL 54.400232 107.988783 \nL 55.127583 104.321204 \nL 56.407404 101.048167 \nL 58.230105 98.221181 \nL 60.572268 95.879356 \nL 63.397076 94.047965 \nL 66.6556 92.737874 \nL 70.288676 91.94597 \nL 74.229355 91.656348 \nL 78.405753 91.842278 \nL 82.744001 92.468481 \nL 87.171091 93.4937 \nL 91.617474 94.873186 \nL 96.019191 96.5609 \nL 100.319489 98.511432 \nL 104.469868 100.68141 \nL 108.430572 103.030545 \nL 112.17063 105.522223 \nL 115.667457 108.123786 \nL 118.906153 110.806574 \nL 121.878641 113.545744 \nL 124.582639 116.319965 \nL 127.02064 119.111104 \nL 129.198889 121.903807 \nL 131.126442 124.685139 \nL 132.814317 127.444233 \nL 134.274759 130.171955 \nL 135.520623 132.860644 \nL 136.564868 135.503823 \nL 137.420175 138.09599 \nL 138.098638 140.632442 \nL 138.61155 143.109116 \nL 138.969257 145.52245 \nL 139.181077 147.86924 \nL 139.255252 150.146582 \nL 139.198941 152.351749 \nL 139.018247 154.482111 \nL 138.71825 156.535094 \nL 138.303065 158.508078 \nL 137.775895 160.398365 \nL 137.139113 162.203097 \nL 136.394315 163.919225 \nL 135.542409 165.543437 \nL 134.583675 167.072117 \nL 133.517848 168.501296 \nL 132.344186 169.82659 \nL 131.061548 171.043165 \nL 129.668479 172.145679 \nL 128.163289 173.12824 \nL 126.544145 173.984358 \nL 124.809175 174.70692 \nL 122.956567 175.288158 \nL 120.984697 175.719604 \nL 118.892267 175.992123 \nL 116.678469 176.095885 \nL 114.343138 176.020422 \nL 111.886969 175.754684 \nL 109.311736 175.287147 \nL 106.620517 174.60594 \nL 103.817992 173.699072 \nL 100.910719 172.554658 \nL 97.90745 171.161287 \nL 94.819466 169.508431 \nL 91.660895 167.586941 \nL 88.449068 165.389668 \nL 85.204785 162.91212 \nL 81.952611 160.153271 \nL 78.72102 157.116355 \nL 75.542523 153.809763 \nL 72.453595 150.247869 \nL 69.494423 146.451816 \nL 66.708501 142.450147 \nL 64.141909 138.279208 \nL 61.842382 133.983219 \nL 59.858058 129.613951 \nL 58.235948 125.229917 \nL 57.020248 120.895047 \nL 56.250402 116.676867 \nL 55.959175 112.644187 \nL 56.170743 108.864486 \nL 56.899036 105.40109 \nL 58.146419 102.310442 \nL 59.902869 99.639654 \nL 62.145795 97.424572 \nL 64.840488 95.688476 \nL 67.941264 94.441648 \nL 71.393209 93.68173 \nL 75.134379 93.394758 \nL 79.098337 93.556857 \nL 83.216777 94.136302 \nL 87.422104 95.095713 \nL 91.649744 96.39428 \nL 95.84008 97.989764 \nL 99.939926 99.84019 \nL 103.903523 101.905204 \nL 107.693013 104.147013 \nL 111.278514 106.530999 \nL 114.637828 109.026048 \nL 117.755848 111.604607 \nL 120.623792 114.242568 \nL 123.238325 116.919072 \nL 125.600629 119.61622 \nL 127.715485 122.318701 \nL 129.590423 125.01352 \nL 131.234929 127.689641 \nL 132.65977 130.337701 \nL 133.876413 132.949762 \nL 134.896545 135.519041 \nL 135.731696 138.039738 \nL 136.392938 140.506841 \nL 136.890684 142.915968 \nL 137.234526 145.263226 \nL 137.433144 147.545119 \nL 137.494259 149.758431 \nL 137.424607 151.900135 \nL 137.22996 153.96731 \nL 136.915149 155.957075 \nL 136.484115 157.866534 \nL 135.939955 159.692692 \nL 135.284991 161.432413 \nL 134.520837 163.082364 \nL 133.648458 164.63896 \nL 132.668255 166.098307 \nL 131.580127 167.456161 \nL 130.383553 168.707885 \nL 129.077669 169.848391 \nL 127.661351 170.872109 \nL 126.133307 171.772946 \nL 124.492167 172.544236 \nL 122.73659 173.178723 \nL 120.865388 173.668559 \nL 118.877642 174.005269 \nL 116.772863 174.179782 \nL 114.551138 174.182456 \nL 112.213317 174.003124 \nL 109.761216 173.631203 \nL 107.197843 173.055812 \nL 104.527639 172.265955 \nL 101.756732 171.25075 \nL 98.89324 169.999723 \nL 95.947546 168.503181 \nL 92.932603 166.752655 \nL 89.864242 164.741427 \nL 86.761429 162.465126 \nL 83.646494 159.922422 \nL 80.545333 157.115727 \nL 77.487471 154.051983 \nL 74.506056 150.743421 \nL 71.637646 147.208263 \nL 68.921898 143.47129 \nL 66.400956 139.56428 \nL 64.118666 135.526129 \nL 62.119525 131.402676 \nL 60.447401 127.246088 \nL 59.144011 123.113838 \nL 58.247297 119.067227 \nL 57.789675 115.169458 \nL 57.796332 111.483412 \nL 58.283623 108.069181 \nL 59.257831 104.98166 \nL 60.714221 102.26819 \nL 62.636659 99.966656 \nL 64.997816 98.104108 \nL 67.759901 96.695995 \nL 70.875994 95.746131 \nL 74.291835 95.24736 \nL 77.947968 95.182747 \nL 81.78206 95.527205 \nL 85.731212 96.249392 \nL 89.734179 97.313723 \nL 93.733264 98.682158 \nL 97.675875 100.315941 \nL 101.515647 102.176957 \nL 105.213135 104.228806 \nL 108.736097 106.437513 \nL 112.059429 108.772027 \nL 115.164791 111.204426 \nL 118.040038 113.709927 \nL 120.678479 116.266785 \nL 123.078093 118.856102 \nL 125.240696 121.461527 \nL 127.171136 124.06902 \nL 128.876553 126.666552 \nL 130.365707 129.243808 \nL 131.648386 131.791961 \nL 132.734905 134.303439 \nL 133.635716 136.7717 \nL 134.361071 139.191072 \nL 134.920784 141.556567 \nL 135.324044 143.863771 \nL 135.579291 146.108699 \nL 135.694139 148.287705 \nL 135.675335 150.397385 \nL 135.528744 152.434484 \nL 135.25937 154.39582 \nL 134.871381 156.27823 \nL 134.368144 158.078495 \nL 133.752298 159.793289 \nL 133.025791 161.419102 \nL 132.189956 162.952227 \nL 131.245579 164.38867 \nL 130.192966 165.724125 \nL 129.032016 166.953926 \nL 127.762316 168.073007 \nL 126.383197 169.075844 \nL 124.893845 169.956452 \nL 123.29339 170.708324 \nL 121.581012 171.324435 \nL 119.756059 171.797214 \nL 117.81817 172.118545 \nL 115.767415 172.279809 \nL 113.604463 172.271901 \nL 111.330751 172.085297 \nL 108.948672 171.710165 \nL 106.461798 171.136475 \nL 103.8751 170.354212 \nL 101.1952 169.353582 \nL 98.430619 168.125321 \nL 95.592053 166.661031 \nL 92.692636 164.953624 \nL 89.748199 162.997805 \nL 86.777497 160.790631 \nL 83.802408 158.332118 \nL 80.848048 155.625928 \nL 77.942823 152.680022 \nL 75.118375 149.507322 \nL 72.409354 146.126316 \nL 69.853029 142.561518 \nL 67.488752 138.843794 \nL 65.357156 135.010393 \nL 63.4992 131.104716 \nL 61.954957 127.175698 \nL 60.762233 123.276826 \nL 59.955106 119.464742 \nL 59.562397 115.797531 \nL 59.606114 112.332725 \nL 60.100143 109.125113 \nL 61.049129 106.22461 \nL 62.447718 103.67425 \nL 64.280289 101.508547 \nL 66.521108 99.752236 \nL 69.135106 98.419677 \nL 72.07902 97.51484 \nL 75.302998 97.031793 \nL 78.752505 96.955778 \nL 82.370374 97.264619 \nL 86.098851 97.930378 \nL 89.88155 98.921038 \nL 93.665168 100.202164 \nL 97.400868 101.7384 \nL 101.045321 103.494711 \nL 104.561364 105.43735 \nL 107.918274 107.534609 \nL 111.091773 109.757247 \nL 114.063743 112.078734 \nL 116.821725 114.475317 \nL 119.358322 116.925969 \nL 121.670484 119.412252 \nL 123.758799 121.918091 \nL 125.626759 124.429524 \nL 127.280091 126.934474 \nL 128.726142 129.422519 \nL 129.973341 131.88465 \nL 131.030733 134.313056 \nL 131.907599 136.700934 \nL 132.613137 139.042329 \nL 133.15623 141.33197 \nL 133.545261 143.565144 \nL 133.787984 145.737575 \nL 133.891437 147.845332 \nL 133.861905 149.884714 \nL 133.704888 151.852181 \nL 133.425112 153.744284 \nL 133.02655 155.557591 \nL 132.512463 157.288615 \nL 131.885435 158.933777 \nL 131.147437 160.48933 \nL 130.299881 161.951321 \nL 129.343696 163.31555 \nL 128.279388 164.577512 \nL 127.10712 165.732355 \nL 125.82678 166.774855 \nL 124.438091 167.69937 \nL 122.940679 168.499817 \nL 121.334172 169.169667 \nL 119.618337 169.701901 \nL 117.793169 170.089049 \nL 115.859028 170.323185 \nL 113.816798 170.395951 \nL 111.66804 170.298649 \nL 109.415157 170.022298 \nL 107.061594 169.557764 \nL 104.612041 168.895922 \nL 102.072651 168.027835 \nL 99.45128 166.945045 \nL 96.757716 165.63985 \nL 94.003912 164.105683 \nL 91.204221 162.337541 \nL 88.375606 160.332473 \nL 85.537814 158.090096 \nL 82.713506 155.613192 \nL 79.928288 152.908297 \nL 77.210689 149.986269 \nL 74.592 146.86284 \nL 72.105965 143.55906 \nL 69.788315 140.10161 \nL 67.676156 136.522912 \nL 65.807108 132.860981 \nL 64.218321 129.159011 \nL 62.945332 125.464598 \nL 62.020754 121.828681 \nL 61.472916 118.30409 \nL 61.324538 114.943912 \nL 61.591474 111.799625 \nL 62.281625 108.919198 \nL 63.394155 106.345253 \nL 64.919041 104.113466 \nL 66.837068 102.251286 \nL 69.120231 100.777149 \nL 71.732588 99.700129 \nL 74.631516 99.020179 \nL 77.769235 98.728733 \nL 81.094568 98.809821 \nL 84.554742 99.241358 \nL 88.097195 99.996602 \nL 91.671213 101.045623 \nL 95.22932 102.356726 \nL 98.728416 103.897697 \nL 102.130551 105.636782 \nL 105.403397 107.543529 \nL 108.520433 109.589324 \nL 111.460849 111.747794 \nL 114.209234 113.994922 \nL 116.755125 116.30916 \nL 119.092451 118.671337 \nL 121.218891 121.064548 \nL 123.135247 123.473943 \nL 124.84482 125.886541 \nL 126.352818 128.291032 \nL 127.665829 130.677546 \nL 128.791348 133.037485 \nL 129.737386 135.363302 \nL 130.512141 137.648369 \nL 131.123725 139.886792 \nL 131.579953 142.073299 \nL 131.888202 144.203125 \nL 132.055284 146.271878 \nL 132.087385 148.275475 \nL 131.990019 150.210038 \nL 131.768017 152.071812 \nL 131.425531 153.857103 \nL 130.966053 155.562219 \nL 130.392457 157.183412 \nL 129.70704 158.716797 \nL 128.911573 160.158344 \nL 128.007369 161.503799 \nL 126.995336 162.748657 \nL 125.876061 163.888106 \nL 124.64988 164.917019 \nL 123.316966 165.829903 \nL 121.877401 166.620878 \nL 120.331302 167.283671 \nL 118.678901 167.811599 \nL 116.92067 168.197589 \nL 115.057453 168.434185 \nL 113.090588 168.513595 \nL 111.022077 168.427748 \nL 108.854737 168.168394 \nL 106.592373 167.727193 \nL 104.239997 167.095902 \nL 101.803987 166.266543 \nL 99.292328 165.231669 \nL 96.714802 163.984627 \nL 94.083217 162.519915 \nL 91.411587 160.833573 \nL 88.716323 158.923608 \nL 86.016369 156.79048 \nL 83.333286 154.437628 \nL 80.691302 151.871966 \nL 78.117215 149.104397 \nL 75.640246 146.15027 \nL 73.291752 143.029745 \nL 71.104765 139.768041 \nL 69.113422 136.395503 \nL 67.352177 132.947432 \nL 65.854945 129.463699 \nL 64.654027 125.988027 \nL 63.778985 122.567052 \nL 63.255438 119.24905 \nL 63.103918 116.082464 \nL 63.338717 113.114299 \nL 63.966994 110.388477 \nL 64.988086 107.944231 \nL 66.393076 105.814681 \nL 68.16482 104.025696 \nL 70.27827 102.595192 \nL 72.701209 101.532761 \nL 75.395309 100.8398 \nL 78.317457 100.510055 \nL 81.421283 100.530423 \nL 84.658739 100.882099 \nL 87.981692 101.541804 \nL 91.343381 102.483085 \nL 94.699709 103.67753 \nL 98.010254 105.095896 \nL 101.239051 106.709067 \nL 104.355063 108.48878 \nL 107.332405 110.408216 \nL 110.150329 112.44238 \nL 112.793018 114.568297 \nL 115.249216 116.765157 \nL 117.511754 119.014247 \nL 119.57703 121.298892 \nL 121.444449 123.604333 \nL 123.115868 125.91753 \nL 124.595064 128.227048 \nL 125.887247 130.522788 \nL 126.99863 132.795893 \nL 127.936052 135.038538 \nL 128.706655 137.243781 \nL 129.317624 139.405431 \nL 129.775985 141.517908 \nL 130.088445 143.576133 \nL 130.261271 145.575438 \nL 130.300213 147.511449 \nL 130.210457 149.38002 \nL 129.996596 151.177143 \nL 129.66263 152.898902 \nL 129.211986 154.541383 \nL 128.647533 156.10063 \nL 127.971634 157.572597 \nL 127.186191 158.953087 \nL 126.292695 160.23773 \nL 125.292299 161.421915 \nL 124.185874 162.500781 \nL 122.97409 163.469166 \nL 121.657506 164.32159 \nL 120.236651 165.052252 \nL 118.712114 165.654999 \nL 117.084662 166.123349 \nL 115.355343 166.450496 \nL 113.525612 166.629346 \nL 111.597483 166.652549 \nL 109.573643 166.512611 \nL 107.457644 166.201946 \nL 105.254047 165.713037 \nL 102.968609 165.038589 \nL 100.608464 164.171729 \nL 98.182318 163.106249 \nL 95.700624 161.836885 \nL 93.175771 160.359668 \nL 90.622251 158.672276 \nL 88.056771 156.774442 \nL 85.498374 154.668416 \nL 82.968464 152.359381 \nL 80.490786 149.855933 \nL 78.091317 147.17047 \nL 75.798052 144.319576 \nL 73.64064 141.324254 \nL 71.649937 138.210066 \nL 69.85744 135.00709 \nL 68.294493 131.749677 \nL 66.991452 128.475966 \nL 65.976739 125.227158 \nL 65.275786 122.04655 \nL 64.910009 118.978339 \nL 64.895798 116.066342 \nL 65.243591 113.35252 \nL 65.957161 110.875539 \nL 67.033109 108.669453 \nL 68.460633 106.762537 \nL 70.221634 105.176386 \nL 72.291134 103.925421 \nL 74.63801 103.01666 \nL 77.226006 102.449936 \nL 80.014948 102.218382 \nL 82.962104 102.309262 \nL 86.023568 102.704923 \nL 89.155637 103.383892 \nL 92.316064 104.321986 \nL 95.465132 105.49335 \nL 98.566508 106.871426 \nL 101.587904 108.429776 \nL 104.501439 110.142685 \nL 107.283823 111.985693 \nL 109.916327 113.935903 \nL 112.384584 115.972181 \nL 114.678263 118.075233 \nL 116.790665 120.227649 \nL 118.71826 122.413781 \nL 120.460201 124.619683 \nL 122.017835 126.832957 \nL 123.394239 129.042614 \nL 124.593802 131.238891 \nL 125.621836 133.413146 \nL 126.484243 135.557661 \nL 127.187239 137.665541 \nL 127.737108 139.730578 \nL 128.140031 141.747133 \nL 128.401938 143.710032 \nL 128.52839 145.614465 \nL 128.524523 147.455902 \nL 128.394989 149.230029 \nL 128.143936 150.932662 \nL 127.775008 152.559686 \nL 127.291358 154.106994 \nL 126.695677 155.570441 \nL 125.990214 156.945789 \nL 125.176848 158.228678 \nL 124.257129 159.414555 \nL 123.232342 160.498671 \nL 122.10357 161.476045 \nL 120.871778 162.341434 \nL 119.537893 163.089322 \nL 118.102896 163.713908 \nL 116.567913 164.209123 \nL 114.934321 164.568623 \nL 113.203885 164.785848 \nL 111.378844 164.854047 \nL 109.462075 164.766346 \nL 107.457231 164.515857 \nL 105.36888 164.095775 \nL 103.202681 163.499534 \nL 100.96554 162.720995 \nL 98.665779 161.75464 \nL 96.313299 160.595858 \nL 93.919737 159.241215 \nL 91.498614 157.688781 \nL 89.065432 155.9385 \nL 86.637785 153.992558 \nL 84.235366 151.85579 \nL 81.879958 149.53605 \nL 79.595323 147.044594 \nL 77.407009 144.396373 \nL 75.342083 141.610275 \nL 73.428677 138.709236 \nL 71.695517 135.72022 \nL 70.17127 132.674016 \nL 68.883802 129.604848 \nL 67.859347 126.549786 \nL 67.121591 123.547935 \nL 66.690797 120.639432 \nL 66.582889 117.864338 \nL 66.808633 115.261381 \nL 67.372988 112.866729 \nL 68.274579 110.712766 \nL 69.50548 108.827061 \nL 71.051177 107.2315 \nL 72.890895 105.941746 \nL 74.99813 104.966916 \nL 77.341468 104.309648 \nL 79.885584 103.966432 \nL 82.592399 103.92821 \nL 85.422277 104.181128 \nL 88.335247 104.707424 \nL 91.292144 105.486438 \nL 94.255606 106.495505 \nL 97.190947 107.710838 \nL 100.066783 109.108301 \nL 102.855504 110.664061 \nL 105.533512 112.35507 \nL 108.081277 114.159457 \nL 110.483254 116.056763 \nL 112.727675 118.028107 \nL 114.806219 120.056217 \nL 116.713648 122.125415 \nL 118.447384 124.221586 \nL 120.00709 126.332071 \nL 121.394243 128.445529 \nL 122.611765 130.551815 \nL 123.66363 132.641886 \nL 124.554566 134.707621 \nL 125.289773 136.741715 \nL 125.874682 138.737573 \nL 126.314769 140.689185 \nL 126.615389 142.591028 \nL 126.781674 144.437982 \nL 126.818442 146.225227 \nL 126.730141 147.948197 \nL 126.520796 149.602478 \nL 126.194023 151.183756 \nL 125.753016 152.687777 \nL 125.200558 154.110274 \nL 124.539074 155.446917 \nL 123.770636 156.693293 \nL 122.897049 157.844856 \nL 121.919879 158.896888 \nL 120.840527 159.844491 \nL 119.660303 160.682548 \nL 118.380499 161.405731 \nL 117.002477 162.008486 \nL 115.52775 162.485042 \nL 113.958111 162.829431 \nL 112.295706 163.035514 \nL 110.543178 163.097046 \nL 108.703781 163.007744 \nL 106.781517 162.761355 \nL 104.781265 162.351794 \nL 102.708942 161.773276 \nL 100.571631 161.020499 \nL 98.377748 160.088835 \nL 96.137167 158.974566 \nL 93.861372 157.675164 \nL 91.563555 156.189579 \nL 89.258714 154.518555 \nL 86.96372 152.664973 \nL 84.697312 150.634188 \nL 82.480051 148.434371 \nL 80.334214 146.076784 \nL 78.283598 143.576056 \nL 76.353246 140.950356 \nL 74.569024 138.221453 \nL 72.957181 135.414658 \nL 71.543752 132.558623 \nL 70.353891 129.68497 \nL 69.411132 126.827731 \nL 68.7366 124.02263 \nL 68.34822 121.306187 \nL 68.259925 118.714739 \nL 68.48099 116.283367 \nL 69.015454 114.044806 \nL 69.861689 112.028436 \nL 71.012209 110.259328 \nL 72.453677 108.75756 \nL 74.167201 107.537674 \nL 76.12877 106.608469 \nL 78.309985 105.972994 \nL 80.678947 105.628782 \nL 83.201215 105.568384 \nL 85.840884 105.779999 \nL 88.56162 106.248211 \nL 91.327679 106.954843 \nL 94.104808 107.879757 \nL 96.860985 109.001604 \nL 99.567044 110.298515 \nL 102.197075 111.748729 \nL 104.728685 113.331002 \nL 107.143092 115.025 \nL 109.425073 116.811533 \nL 111.562809 118.672747 \nL 113.547628 120.592153 \nL 115.373698 122.554685 \nL 117.037669 124.546642 \nL 118.538305 126.555625 \nL 119.87613 128.570448 \nL 121.053078 130.581056 \nL 122.072144 132.578377 \nL 122.937123 134.554235 \nL 123.652334 136.501219 \nL 124.222403 138.412594 \nL 124.652085 140.282191 \nL 124.946105 142.104318 \nL 125.109061 143.873686 \nL 125.145323 145.585308 \nL 125.058972 147.234439 \nL 124.853771 148.816522 \nL 124.533132 150.327095 \nL 124.100133 151.761768 \nL 123.557515 153.116165 \nL 122.907711 154.385882 \nL 122.152891 155.566434 \nL 121.294989 156.653247 \nL 120.335766 157.641609 \nL 119.276876 158.526661 \nL 118.119919 159.303384 \nL 116.866524 159.966583 \nL 115.518439 160.510901 \nL 114.077605 160.930822 \nL 112.546265 161.220697 \nL 110.92706 161.374811 \nL 109.223138 161.387394 \nL 107.438282 161.252736 \nL 105.577032 160.965258 \nL 103.644787 160.519644 \nL 101.64798 159.910989 \nL 99.594175 159.13494 \nL 97.492207 158.187942 \nL 95.352295 157.067413 \nL 93.186159 155.772034 \nL 91.007104 154.302005 \nL 88.830068 152.659325 \nL 86.671661 150.848095 \nL 84.550127 148.87482 \nL 82.485277 146.748665 \nL 80.498346 144.48169 \nL 78.611757 142.089054 \nL 76.848847 139.589077 \nL 75.233453 137.003285 \nL 73.789471 134.356267 \nL 72.540285 131.675425 \nL 71.508147 128.990568 \nL 70.713545 126.333374 \nL 70.174471 123.7367 \nL 69.905732 121.233743 \nL 69.918314 118.857206 \nL 70.21884 116.638292 \nL 70.80908 114.60583 \nL 71.685693 112.785381 \nL 72.840101 111.198525 \nL 74.258581 109.862242 \nL 75.922569 108.788563 \nL 77.809123 107.9844 \nL 79.891595 107.451606 \nL 82.140416 107.187255 \nL 84.523974 107.184067 \nL 87.009532 107.430978 \nL 89.564147 107.913825 \nL 92.155524 108.616028 \nL 94.752784 109.519302 \nL 97.327104 110.604307 \nL 99.852213 111.851211 \nL 102.304756 113.240229 \nL 104.664494 114.752036 \nL 106.914374 116.368026 \nL 109.0405 118.070575 \nL 111.031976 119.843192 \nL 112.880697 121.670567 \nL 114.581069 123.538633 \nL 116.129728 125.434498 \nL 117.525209 127.346425 \nL 118.767622 129.263762 \nL 119.858363 131.176838 \nL 120.799813 133.07688 \nL 121.595102 134.95591 \nL 122.247868 136.806665 \nL 122.762069 138.622485 \nL 123.141812 140.397233 \nL 123.39123 142.125214 \nL 123.514368 143.801089 \nL 123.515107 145.419822 \nL 123.39712 146.976594 \nL 123.163822 148.466761 \nL 122.818356 149.885779 \nL 122.363603 151.229173 \nL 121.802176 152.492499 \nL 121.136461 153.671281 \nL 120.368641 154.760998 \nL 119.50074 155.757053 \nL 118.534673 156.654741 \nL 117.472309 157.44925 \nL 116.315538 158.135644 \nL 115.06634 158.708874 \nL 113.726873 159.163783 \nL 112.299541 159.495122 \nL 110.787115 159.697603 \nL 109.192811 159.765933 \nL 107.520397 159.694883 \nL 105.774317 159.479383 \nL 103.959793 159.114611 \nL 102.082946 158.596139 \nL 100.150906 157.920059 \nL 98.17193 157.083175 \nL 96.155499 156.083197 \nL 94.112431 154.918936 \nL 92.054937 153.590561 \nL 89.99668 152.099842 \nL 87.952798 150.450412 \nL 85.939887 148.648002 \nL 83.975938 146.700696 \nL 82.080206 144.61913 \nL 80.273032 142.416661 \nL 78.575593 140.109449 \nL 77.009585 137.716499 \nL 75.596797 135.259564 \nL 74.358679 132.762951 \nL 73.315787 130.253212 \nL 72.487221 127.758668 \nL 71.890021 125.308905 \nL 71.538561 122.934054 \nL 71.443992 120.66403 \nL 71.613693 118.527767 \nL 72.050864 116.552408 \nL 72.754238 114.762472 \nL 73.717901 113.179233 \nL 74.93132 111.820131 \nL 76.379516 110.698344 \nL 78.04341 109.82258 \nL 79.900354 109.197005 \nL 81.92474 108.821421 \nL 84.088752 108.691537 \nL 86.363144 108.799398 \nL 88.71804 109.133925 \nL 91.123712 109.681508 \nL 93.551295 110.426591 \nL 95.973402 111.352271 \nL 98.364653 112.440847 \nL 100.702038 113.674295 \nL 102.965204 115.034716 \nL 105.136578 116.504592 \nL 107.201399 118.067126 \nL 109.147674 119.70638 \nL 110.966022 121.407366 \nL 112.649465 123.156152 \nL 114.193201 124.93985 \nL 115.594339 126.746643 \nL 116.851615 128.565666 \nL 117.965122 130.387004 \nL 118.93606 132.201613 \nL 119.766482 134.001211 \nL 120.459084 135.778219 \nL 121.017007 137.52568 \nL 121.443675 139.237156 \nL 121.742653 140.906686 \nL 121.917545 142.528683 \nL 121.971895 144.097884 \nL 121.90913 145.609277 \nL 121.732509 147.058057 \nL 121.4451 148.439558 \nL 121.049772 149.749221 \nL 120.54919 150.982539 \nL 119.945826 152.135022 \nL 119.242004 153.20218 \nL 118.439918 154.179477 \nL 117.541679 155.06233 \nL 116.549366 155.846079 \nL 115.46509 156.525991 \nL 114.291064 157.097259 \nL 113.029662 157.555027 \nL 111.683503 157.894381 \nL 110.255542 158.110418 \nL 108.749157 158.198264 \nL 107.168239 158.153161 \nL 105.517299 157.970526 \nL 103.801557 157.646061 \nL 102.02706 157.175864 \nL 100.200774 156.55655 \nL 98.33069 155.785436 \nL 96.425897 154.860676 \nL 94.496685 153.781495 \nL 92.554582 152.54836 \nL 90.612422 151.163212 \nL 88.684339 149.629697 \nL 86.785744 147.953362 \nL 84.933264 146.141872 \nL 83.144637 144.205179 \nL 81.438532 142.155651 \nL 79.834324 140.00817 \nL 78.351805 137.780123 \nL 77.010819 135.491325 \nL 75.830898 133.16386 \nL 74.830734 130.821806 \nL 74.027739 128.490816 \nL 73.437476 126.197696 \nL 73.073155 123.969756 \nL 72.945134 121.834214 \nL 73.060456 119.817506 \nL 73.422485 117.944537 \nL 74.030614 116.238065 \nL 74.880131 114.718028 \nL 75.962201 113.401102 \nL 77.263997 112.300235 \nL 78.76898 111.424486 \nL 80.457323 110.77888 \nL 82.306433 110.364523 \nL 84.291578 110.178807 \nL 86.386534 110.215742 \nL 88.56432 110.466377 \nL 90.797853 110.919293 \nL 93.0606 111.561128 \nL 95.327142 112.377062 \nL 97.573653 113.351355 \nL 99.778297 114.467731 \nL 101.92148 115.709823 \nL 103.986022 117.061462 \nL 105.957241 118.50694 \nL 107.822914 120.031175 \nL 109.573201 121.619901 \nL 111.200496 123.259692 \nL 112.699229 124.938057 \nL 114.065646 126.64338 \nL 115.297589 128.364963 \nL 116.394243 130.092937 \nL 117.35591 131.818244 \nL 118.879813 135.228207 \nL 119.886262 138.535697 \nL 120.398181 141.689937 \nL 120.476496 143.195476 \nL 120.440543 144.646371 \nL 120.293352 146.037711 \nL 120.037823 147.364753 \nL 119.676726 148.622875 \nL 119.212679 149.80755 \nL 118.648174 150.914279 \nL 117.985584 151.938594 \nL 117.227209 152.876029 \nL 116.375294 153.722093 \nL 115.432093 154.472272 \nL 114.399909 155.122007 \nL 113.281158 155.666717 \nL 112.078441 156.101794 \nL 110.79461 156.422658 \nL 109.432843 156.624764 \nL 107.996741 156.703645 \nL 106.490384 156.655002 \nL 104.918457 156.47475 \nL 103.286309 156.159127 \nL 101.600061 155.704801 \nL 99.866692 155.108981 \nL 98.094121 154.369575 \nL 96.291271 153.485351 \nL 94.468157 152.456085 \nL 92.635912 151.282759 \nL 90.806815 149.967771 \nL 88.994299 148.515083 \nL 87.212906 146.930441 \nL 85.478227 145.221517 \nL 83.806778 143.398065 \nL 82.215839 141.472015 \nL 80.723228 139.457538 \nL 79.347045 137.371006 \nL 78.105343 135.230928 \nL 77.015766 133.057769 \nL 76.095121 130.873698 \nL 75.358948 128.702217 \nL 74.821073 126.567748 \nL 74.493113 124.495117 \nL 74.384099 122.508984 \nL 74.50005 120.633256 \nL 74.843688 118.890447 \nL 75.414176 117.301139 \nL 76.207033 115.883431 \nL 77.214099 114.652496 \nL 78.423677 113.620242 \nL 79.820799 112.795128 \nL 81.387546 112.182075 \nL 83.103533 111.782476 \nL 84.946433 111.594446 \nL 86.892569 111.613036 \nL 88.917508 111.830598 \nL 90.996669 112.237247 \nL 93.105877 112.821228 \nL 95.221859 113.569392 \nL 97.322681 114.467654 \nL 99.388108 115.501349 \nL 101.399836 116.655579 \nL 103.341677 117.91551 \nL 105.199622 119.266628 \nL 106.961862 120.694926 \nL 108.618715 122.186993 \nL 110.16251 123.730172 \nL 112.889409 126.923025 \nL 115.115126 130.187695 \nL 116.832701 133.450341 \nL 118.049414 136.647731 \nL 118.781379 139.725444 \nL 119.049229 142.635955 \nL 118.875122 145.336834 \nL 118.629196 146.596405 \nL 118.280878 147.789172 \nL 117.832702 148.910605 \nL 117.287128 149.956246 \nL 116.646548 150.921666 \nL 115.913319 151.80248 \nL 115.089793 152.594299 \nL 114.178361 153.292747 \nL 113.181502 153.893456 \nL 112.101836 154.392065 \nL 110.942191 154.784247 \nL 109.705656 155.065724 \nL 108.395666 155.232313 \nL 107.016072 155.279976 \nL 105.571212 155.20488 \nL 104.066002 155.003464 \nL 102.506011 154.672539 \nL 100.897531 154.209385 \nL 99.247662 153.611871 \nL 97.564377 152.878581 \nL 95.856585 152.008969 \nL 94.134174 151.003512 \nL 92.408038 149.863864 \nL 90.690102 148.593029 \nL 88.993274 147.195528 \nL 87.331428 145.677522 \nL 85.7193 144.046988 \nL 84.172368 142.31378 \nL 82.706697 140.48973 \nL 81.338702 138.588654 \nL 80.084918 136.626291 \nL 78.96168 134.620227 \nL 77.984783 132.589687 \nL 77.169125 130.555325 \nL 76.528301 128.538801 \nL 76.074217 126.562491 \nL 75.816686 124.64894 \nL 75.763076 122.820399 \nL 75.917983 121.098295 \nL 76.282991 119.502704 \nL 76.856494 118.051862 \nL 77.633626 116.761724 \nL 78.606257 115.645593 \nL 79.763167 114.713875 \nL 81.090267 113.973849 \nL 82.570919 113.429684 \nL 84.186359 113.082468 \nL 85.916167 112.930346 \nL 87.738774 112.968782 \nL 89.631998 113.190865 \nL 91.573536 113.587644 \nL 93.541472 114.148561 \nL 95.514698 114.861752 \nL 97.473299 115.714467 \nL 99.398833 116.693418 \nL 101.274569 117.785044 \nL 103.085642 118.97581 \nL 104.819104 120.252385 \nL 108.011074 123.011724 \nL 110.78456 125.966265 \nL 113.100138 129.029418 \nL 114.93992 132.125368 \nL 116.302042 135.188384 \nL 117.195521 138.161461 \nL 117.63594 140.994785 \nL 117.642202 143.644086 \nL 117.234303 146.069205 \nL 116.881289 147.185942 \nL 116.432164 148.232778 \nL 115.889336 149.205308 \nL 115.255205 150.099203 \nL 114.532166 150.910171 \nL 113.722671 151.633968 \nL 112.829239 152.266378 \nL 111.854525 152.803232 \nL 110.801355 153.240417 \nL 109.672781 153.573894 \nL 108.472159 153.799732 \nL 107.203197 153.914137 \nL 105.870033 153.913517 \nL 104.477293 153.794544 \nL 103.030175 153.554216 \nL 101.534503 153.189958 \nL 98.424386 152.082087 \nL 95.208631 150.462871 \nL 91.962556 148.338563 \nL 88.775701 145.734119 \nL 85.751034 142.697548 \nL 84.33476 141.039367 \nL 83.002282 139.303209 \nL 81.768687 137.502737 \nL 80.648975 135.65327 \nL 79.657803 133.77168 \nL 78.80913 131.876175 \nL 78.115911 129.986056 \nL 77.589746 128.121393 \nL 77.240532 126.302631 \nL 77.076127 124.550197 \nL 77.102048 122.884031 \nL 77.321262 121.323137 \nL 77.733956 119.885138 \nL 78.33743 118.585882 \nL 79.126079 117.439069 \nL 80.091453 116.455933 \nL 81.222402 115.645088 \nL 82.505325 115.012387 \nL 83.924469 114.560895 \nL 85.46231 114.290966 \nL 87.099993 114.200422 \nL 88.817748 114.284728 \nL 90.595376 114.537294 \nL 92.412676 114.949782 \nL 94.249868 115.512429 \nL 96.087939 116.214387 \nL 97.908987 117.043991 \nL 99.696444 117.989119 \nL 103.112098 120.176477 \nL 106.234704 122.678515 \nL 108.991097 125.402177 \nL 111.333288 128.262312 \nL 113.234706 131.18303 \nL 114.685607 134.097571 \nL 115.688407 136.947515 \nL 116.253559 139.681574 \nL 116.396297 142.25421 \nL 116.134239 144.624287 \nL 115.485942 146.753914 \nL 115.022838 147.717356 \nL 114.470263 148.607458 \nL 113.830614 149.420004 \nL 113.106359 150.15085 \nL 112.300042 150.795919 \nL 111.414327 151.351203 \nL 110.452043 151.812771 \nL 109.416233 152.176784 \nL 108.310204 152.439541 \nL 107.137581 152.597479 \nL 105.902367 152.647241 \nL 104.609009 152.585724 \nL 101.86819 152.118141 \nL 98.961737 151.177733 \nL 95.946964 149.756845 \nL 92.893204 147.860635 \nL 89.882365 145.510887 \nL 87.008269 142.74977 \nL 84.374444 139.64277 \nL 83.181655 137.986803 \nL 82.089954 136.280124 \nL 81.112818 134.537706 \nL 80.26318 132.775778 \nL 79.553154 131.011613 \nL 78.993723 129.263241 \nL 78.594443 127.549182 \nL 78.363153 125.888059 \nL 78.305678 124.298214 \nL 78.425656 122.797334 \nL 78.724291 121.402063 \nL 79.200262 120.127604 \nL 79.849659 118.987412 \nL 80.665998 117.992874 \nL 81.640317 117.15314 \nL 82.761367 116.474937 \nL 84.015826 115.962557 \nL 85.388622 115.617808 \nL 86.863267 115.440154 \nL 88.422245 115.426836 \nL 90.047404 115.573134 \nL 91.72036 115.87255 \nL 93.42285 116.317099 \nL 95.137102 116.897632 \nL 96.846122 117.604049 \nL 100.185917 119.351256 \nL 103.330329 121.469373 \nL 106.19069 123.868791 \nL 108.702181 126.464224 \nL 110.822079 129.177264 \nL 112.526438 131.937431 \nL 113.806107 134.682226 \nL 114.662771 137.356447 \nL 115.105424 139.911144 \nL 115.147599 142.302508 \nL 114.805381 144.49074 \nL 114.096217 146.43905 \nL 113.038397 148.112917 \nL 112.384723 148.836621 \nL 111.651221 149.479537 \nL 110.840562 150.037794 \nL 109.955569 150.50763 \nL 108.999273 150.885398 \nL 107.974958 151.167595 \nL 105.736886 151.432138 \nL 103.27439 151.27738 \nL 100.627721 150.684541 \nL 97.845948 149.642195 \nL 94.988317 148.1491 \nL 92.125069 146.217396 \nL 89.337402 143.875909 \nL 86.716228 141.173144 \nL 84.359429 138.179254 \nL 82.367324 134.986324 \nL 81.538543 133.349545 \nL 80.836432 131.706321 \nL 80.271211 130.072952 \nL 79.851865 128.466203 \nL 79.585889 126.903025 \nL 79.479052 125.400215 \nL 79.535183 123.974078 \nL 79.755998 122.640079 \nL 80.140967 121.4125 \nL 80.687274 120.3042 \nL 81.389793 119.32626 \nL 82.241149 118.487844 \nL 83.231867 117.796017 \nL 84.350548 117.255683 \nL 85.584109 116.86954 \nL 86.918082 116.638124 \nL 88.336929 116.559979 \nL 89.824384 116.631718 \nL 91.363796 116.848314 \nL 92.938464 117.203254 \nL 94.531958 117.688799 \nL 97.712737 119.016224 \nL 100.789879 120.75347 \nL 103.665249 122.818361 \nL 106.261579 125.128937 \nL 108.522644 127.60719 \nL 110.411468 130.181135 \nL 111.907384 132.785702 \nL 113.002566 135.362743 \nL 113.698665 137.860436 \nL 114.003888 140.23246 \nL 113.930665 142.437013 \nL 113.494041 144.435936 \nL 112.710751 146.193887 \nL 111.598914 147.677778 \nL 110.178217 148.856422 \nL 108.470582 149.700547 \nL 106.501179 150.183103 \nL 104.299649 150.280076 \nL 101.901525 149.971717 \nL 99.349651 149.24432 \nL 96.69548 148.092449 \nL 93.999961 146.521632 \nL 91.333871 144.551199 \nL 88.777197 142.217045 \nL 86.417302 139.573774 \nL 84.345707 136.6957 \nL 82.653296 133.676087 \nL 81.976023 132.14684 \nL 81.424181 130.624136 \nL 81.006063 129.123211 \nL 80.728658 127.659496 \nL 80.597419 126.248317 \nL 80.616083 124.904616 \nL 80.786523 123.642647 \nL 81.108628 122.475681 \nL 81.580235 121.415734 \nL 82.197123 120.473334 \nL 82.95306 119.657339 \nL 83.839886 118.974753 \nL 84.847692 118.430695 \nL 85.964993 118.028322 \nL 87.179 117.768829 \nL 88.475861 117.651604 \nL 89.840987 117.674255 \nL 91.259322 117.832829 \nL 92.715659 118.121976 \nL 95.682408 119.064852 \nL 98.626584 120.439985 \nL 101.446161 122.175254 \nL 104.056038 124.19492 \nL 106.389867 126.423994 \nL 108.399763 128.791198 \nL 110.054538 131.2306 \nL 111.337042 133.682317 \nL 112.241164 136.092463 \nL 112.769035 138.412655 \nL 112.928557 140.599301 \nL 112.731563 142.612813 \nL 112.19253 144.416909 \nL 111.327923 145.977964 \nL 110.156027 147.264669 \nL 108.697263 148.247843 \nL 106.974869 148.900605 \nL 105.015837 149.198925 \nL 102.8521 149.12252 \nL 100.521699 148.656254 \nL 98.069976 147.791938 \nL 95.550489 146.530513 \nL 93.025473 144.884469 \nL 90.565626 142.880336 \nL 88.248924 140.560757 \nL 86.158281 137.98583 \nL 84.377912 135.233112 \nL 82.988449 132.395911 \nL 82.061031 129.579438 \nL 81.788671 128.213715 \nL 81.651008 126.894995 \nL 81.651508 125.636934 \nL 81.791983 124.452589 \nL 82.07246 123.354143 \nL 82.491149 122.352724 \nL 83.044411 121.458155 \nL 83.726805 120.678773 \nL 84.531161 120.021321 \nL 85.448709 119.490826 \nL 86.46926 119.090599 \nL 87.581382 118.822202 \nL 88.772675 118.685529 \nL 90.029997 118.678877 \nL 91.339726 118.799091 \nL 94.061108 119.401141 \nL 96.828011 120.443433 \nL 99.539087 121.865356 \nL 102.105625 123.599322 \nL 104.454661 125.575524 \nL 106.529992 127.725334 \nL 108.291564 129.983619 \nL 109.713705 132.290103 \nL 110.782762 134.589775 \nL 111.494527 136.832834 \nL 111.8519 138.974268 \nL 111.862887 140.97326 \nL 111.539152 142.792582 \nL 110.89504 144.398005 \nL 109.947136 145.757905 \nL 108.71428 146.843055 \nL 107.217944 147.626644 \nL 105.482922 148.084641 \nL 103.538218 148.196472 \nL 101.418081 147.946083 \nL 99.162986 147.323412 \nL 96.820539 146.326154 \nL 94.445955 144.961833 \nL 92.102111 143.249966 \nL 89.858772 141.223979 \nL 87.790901 138.93266 \nL 85.975888 136.440621 \nL 84.48965 133.827381 \nL 83.401743 131.184807 \nL 82.769933 128.612731 \nL 82.638537 127.385061 \nL 82.634737 126.212991 \nL 82.760127 125.108416 \nL 83.014719 124.082507 \nL 83.396889 123.145424 \nL 83.903361 122.306226 \nL 84.529241 121.572622 \nL 85.268091 120.950924 \nL 86.112027 120.445931 \nL 87.051882 120.060892 \nL 88.077367 119.797506 \nL 89.177297 119.655944 \nL 90.339777 119.634963 \nL 92.802749 119.943161 \nL 95.365977 120.68783 \nL 97.932126 121.820222 \nL 100.412394 123.282052 \nL 102.730422 125.010118 \nL 104.824336 126.940021 \nL 106.647171 129.008959 \nL 108.166023 131.157466 \nL 109.360318 133.330426 \nL 110.219711 135.477363 \nL 110.741948 137.552346 \nL 110.930889 139.513629 \nL 110.794959 141.323173 \nL 110.346015 142.946183 \nL 109.598644 144.35068 \nL 108.569958 145.507285 \nL 107.279685 146.389188 \nL 105.750632 146.972341 \nL 104.009353 147.235972 \nL 102.086956 147.163436 \nL 100.019964 146.743339 \nL 97.851087 145.971068 \nL 95.629764 144.850477 \nL 93.41227 143.395766 \nL 91.261277 141.633202 \nL 89.244596 139.602594 \nL 87.433057 137.357911 \nL 85.897387 134.966991 \nL 84.704202 132.50978 \nL 83.911363 130.075082 \nL 83.563104 127.755878 \nL 83.564675 126.66836 \nL 83.685584 125.643508 \nL 83.925703 124.691453 \nL 84.283448 123.821451 \nL 84.755753 123.041731 \nL 85.338101 122.359375 \nL 86.024598 121.780161 \nL 86.808068 121.308547 \nL 87.680159 120.947599 \nL 88.631537 120.698972 \nL 89.652035 120.562988 \nL 91.856749 120.623815 \nL 94.203887 121.108364 \nL 96.602349 121.979347 \nL 98.965898 123.188121 \nL 101.217489 124.678978 \nL 103.292041 126.392868 \nL 105.137695 128.270465 \nL 106.715767 130.254284 \nL 107.999726 132.290026 \nL 108.973603 134.327301 \nL 109.630123 136.319825 \nL 109.968925 138.225308 \nL 109.994991 140.005151 \nL 109.7174 141.624068 \nL 109.148524 143.049783 \nL 108.303547 144.252749 \nL 107.200421 145.2061 \nL 105.86007 145.88575 \nL 104.306859 146.270806 \nL 102.56923 146.344184 \nL 100.680383 146.093565 \nL 98.678972 145.512611 \nL 96.609571 144.602417 \nL 94.522873 143.373092 \nL 92.475429 141.845331 \nL 90.528712 140.051725 \nL 88.747464 138.037562 \nL 87.197198 135.860817 \nL 85.940894 133.590999 \nL 85.035067 131.306799 \nL 84.525493 129.09233 \nL 84.443087 127.032404 \nL 84.566806 126.085743 \nL 84.800494 125.207051 \nL 85.142521 124.404727 \nL 85.589923 123.686202 \nL 86.13846 123.057869 \nL 86.782648 122.524984 \nL 87.515853 122.091576 \nL 88.330423 121.760437 \nL 89.217802 121.533128 \nL 91.173272 121.390171 \nL 93.302203 121.651794 \nL 95.521012 122.291238 \nL 97.747899 123.26927 \nL 99.907249 124.537998 \nL 101.932875 126.044456 \nL 103.769892 127.733656 \nL 105.375363 129.550948 \nL 106.717903 131.443733 \nL 107.776613 133.362403 \nL 108.539603 135.260912 \nL 109.002404 137.096847 \nL 109.166501 138.831335 \nL 109.038061 140.428804 \nL 108.627049 141.856741 \nL 107.946616 143.085461 \nL 107.012848 144.088038 \nL 105.844828 144.84037 \nL 104.464892 145.321447 \nL 102.899116 145.513883 \nL 101.177852 145.404665 \nL 99.336278 144.98617 \nL 97.414852 144.257362 \nL 95.459516 143.225177 \nL 93.521505 141.905875 \nL 91.656699 140.326237 \nL 89.924295 138.524425 \nL 88.384796 136.550115 \nL 87.097281 134.463806 \nL 86.116054 132.335053 \nL 85.486968 130.239572 \nL 85.243695 128.255293 \nL 85.404422 126.457741 \nL 85.637138 125.650757 \nL 85.969527 124.915268 \nL 86.398679 124.257938 \nL 86.920532 123.684517 \nL 87.529931 123.199677 \nL 88.220693 122.807036 \nL 88.985738 122.509091 \nL 90.706508 122.20166 \nL 92.622311 122.275514 \nL 94.65768 122.713166 \nL 96.736398 123.484196 \nL 98.785844 124.548435 \nL 100.740424 125.859292 \nL 102.543868 127.36667 \nL 104.15041 129.019472 \nL 105.524957 130.767446 \nL 106.642509 132.562439 \nL 107.48708 134.35914 \nL 108.05038 136.115459 \nL 108.330486 137.792575 \nL 108.330649 139.354856 \nL 108.058342 140.769675 \nL 107.524564 142.007307 \nL 106.743498 143.040772 \nL 105.732364 143.84597 \nL 104.511589 144.401806 \nL 103.105079 144.690677 \nL 101.54066 144.699038 \nL 99.850507 144.418265 \nL 98.071512 143.845679 \nL 96.245506 142.985692 \nL 94.419127 141.851002 \nL 92.643309 140.463685 \nL 90.972256 138.855993 \nL 89.461762 137.070617 \nL 88.166972 135.160307 \nL 87.139549 133.186527 \nL 86.424466 131.217206 \nL 86.056682 129.323485 \nL 86.058102 127.575849 \nL 86.435168 126.039843 \nL 86.762 125.369334 \nL 87.177522 124.772035 \nL 87.677819 124.253034 \nL 88.257986 123.816485 \nL 89.633947 123.202389 \nL 91.250068 122.943111 \nL 93.041978 123.036398 \nL 94.940497 123.465959 \nL 96.875866 124.203793 \nL 98.781561 125.213013 \nL 100.597325 126.450706 \nL 102.271206 127.870621 \nL 103.760674 129.425278 \nL 105.032796 131.067766 \nL 106.063845 132.752874 \nL 106.838358 134.437829 \nL 107.348066 136.082716 \nL 107.590745 137.650576 \nL 107.569189 139.107409 \nL 107.29037 140.422099 \nL 106.76485 141.566329 \nL 106.006434 142.514576 \nL 105.032086 143.244204 \nL 103.861988 143.73571 \nL 102.519815 143.973149 \nL 101.033053 143.944759 \nL 99.433303 143.643711 \nL 97.75657 143.069063 \nL 96.043296 142.2268 \nL 94.338152 141.130807 \nL 92.689394 139.803788 \nL 91.147817 138.27779 \nL 89.76507 136.594329 \nL 88.59155 134.803781 \nL 87.673775 132.964007 \nL 87.051492 131.138141 \nL 86.754783 129.391592 \nL 86.801439 127.788537 \nL 87.19501 126.388086 \nL 87.923804 125.240768 \nL 88.961063 124.385585 \nL 90.266356 123.848025 \nL 91.788083 123.639245 \nL 93.466812 123.756363 \nL 95.239021 124.183901 \nL 97.040824 124.895835 \nL 98.811323 125.858051 \nL 100.495254 127.030902 \nL 102.044833 128.371522 \nL 103.42072 129.835804 \nL 104.59226 131.379933 \nL 105.537161 132.961509 \nL 106.240727 134.54025 \nL 106.694944 136.078378 \nL 106.897532 137.540837 \nL 106.851022 138.895334 \nL 106.562088 140.112323 \nL 106.040956 141.164975 \nL 105.301175 142.029261 \nL 104.359469 142.684069 \nL 103.235818 143.111515 \nL 101.953645 143.297337 \nL 100.540042 143.231506 \nL 99.026027 142.908957 \nL 97.446651 142.330416 \nL 95.840947 141.503326 \nL 94.251614 140.442658 \nL 92.724301 139.171639 \nL 91.306484 137.722069 \nL 90.045868 136.134263 \nL 88.988339 134.456304 \nL 88.175579 132.742644 \nL 87.642483 131.051919 \nL 87.414591 129.444236 \nL 87.505913 127.977885 \nL 87.917333 126.706046 \nL 88.635907 125.673715 \nL 89.635222 124.915176 \nL 90.876767 124.452405 \nL 92.312299 124.294383 \nL 93.88681 124.437508 \nL 95.541893 124.866869 \nL 97.21901 125.558038 \nL 98.862437 126.479304 \nL 100.421577 127.593872 \nL 101.852576 128.86194 \nL 103.11921 130.242468 \nL 104.19312 131.694536 \nL 105.053537 133.178412 \nL 105.686691 134.656196 \nL 106.085022 136.092248 \nL 106.246366 137.45342 \nL 106.17319 138.709128 \nL 105.871965 139.831428 \nL 105.352742 140.795046 \nL 104.628854 141.577486 \nL 103.71684 142.159207 \nL 102.636488 142.523932 \nL 101.410934 142.659073 \nL 100.06687 142.556323 \nL 98.63465 142.212287 \nL 97.148324 141.629294 \nL 95.645489 140.816104 \nL 94.166868 139.78867 \nL 92.755517 138.570608 \nL 91.455706 137.193391 \nL 90.311337 135.696082 \nL 89.364044 134.124528 \nL 88.65098 132.529902 \nL 88.202519 130.966617 \nL 88.04004 129.489799 \nL 88.17409 128.152305 \nL 88.603143 127.001875 \nL 89.313151 126.078387 \nL 90.278019 125.411801 \nL 91.461019 125.020815 \nL 92.81692 124.91234 \nL 94.294749 125.082025 \nL 95.840738 125.515325 \nL 97.401235 126.189175 \nL 98.925254 127.073952 \nL 100.366524 128.135386 \nL 101.6849 129.336451 \nL 102.847135 130.63888 \nL 103.827123 132.00448 \nL 104.605686 133.396012 \nL 105.17007 134.777865 \nL 105.513289 136.116478 \nL 105.633441 137.380577 \nL 105.533047 138.541321 \nL 105.218524 139.572387 \nL 104.699807 140.450075 \nL 103.990102 141.15345 \nL 103.105784 141.664543 \nL 102.06643 141.96871 \nL 100.894895 142.055 \nL 99.617396 141.916764 \nL 98.263584 141.552222 \nL 96.86645 140.96516 \nL 95.462123 140.165571 \nL 94.08931 139.170229 \nL 92.788526 138.00301 \nL 91.600911 136.694934 \nL 90.566737 135.283778 \nL 89.723599 133.813166 \nL 89.104418 132.331114 \nL 88.735394 130.888043 \nL 88.634098 129.534381 \nL 88.807965 128.31802 \nL 89.253325 127.281659 \nL 89.955192 126.460499 \nL 90.887836 125.880549 \nL 92.016178 125.557455 \nL 93.297774 125.496276 \nL 94.68534 125.691861 \nL 96.12934 126.129957 \nL 97.580573 126.788681 \nL 98.992407 127.640201 \nL 100.322562 128.652532 \nL 101.534352 129.791145 \nL 102.597362 131.020364 \nL 103.487669 132.304448 \nL 104.187679 133.608539 \nL 104.685712 134.899221 \nL 104.975455 136.144937 \nL 105.055364 137.316256 \nL 104.928124 138.386058 \nL 104.600187 139.329661 \nL 104.081441 140.124943 \nL 103.385004 140.752533 \nL 102.527113 141.196048 \nL 101.527135 141.442422 \nL 100.407587 141.482345 \nL 99.194185 141.310744 \nL 97.915807 140.92736 \nL 96.604339 140.337333 \nL 95.294378 139.551729 \nL 94.022628 138.587995 \nL 92.827081 137.470132 \nL 91.745844 136.228615 \nL 90.815702 134.899857 \nL 90.070444 133.525276 \nL 89.539046 132.149813 \nL 89.243868 130.820105 \nL 89.199034 129.582243 \nL 89.409187 128.47946 \nL 89.868793 127.549811 \nL 90.562105 126.824298 \nL 91.463824 126.325267 \nL 92.540435 126.065667 \nL 93.75212 126.048793 \nL 95.054952 126.268792 \nL 96.403282 126.711624 \nL 97.751979 127.356417 \nL 99.058407 128.176979 \nL 100.283972 129.143379 \nL 101.395187 130.223342 \nL 102.364303 131.383503 \nL 103.169497 132.5905 \nL 103.794725 133.811672 \nL 104.229411 135.015688 \nL 104.467964 136.17293 \nL 104.509278 137.255773 \nL 104.356274 138.238802 \nL 104.015505 139.098942 \nL 103.496864 139.81565 \nL 102.813411 140.37111 \nL 101.981254 140.750518 \nL 101.019528 140.942364 \nL 99.95039 140.938892 \nL 98.798991 140.736549 \nL 97.593376 140.33649 \nL 96.364279 139.745084 \nL 95.14472 138.974337 \nL 93.969396 138.042213 \nL 92.873807 136.972695 \nL 91.893122 135.795576 \nL 91.060796 134.545859 \nL 90.407035 133.262756 \nL 89.957159 131.988266 \nL 89.730006 130.765423 \nL 89.7366 129.636235 \nL 89.979122 128.639628 \nL 90.450449 127.809457 \nL 91.134246 127.172848 \nL 92.005708 126.748896 \nL 93.032858 126.548039 \nL 94.178304 126.572054 \nL 95.40125 126.814413 \nL 96.659602 127.261276 \nL 97.911966 127.892674 \nL 99.119362 128.683888 \nL 100.246581 129.606809 \nL 101.721791 131.171811 \nL 102.868557 132.859946 \nL 103.423076 134.002399 \nL 103.797809 135.124047 \nL 103.987908 136.197129 \nL 103.992761 137.195781 \nL 103.815582 138.096243 \nL 103.463069 138.877043 \nL 102.945161 139.5192 \nL 102.274866 140.006446 \nL 101.468165 140.325486 \nL 100.543936 140.466359 \nL 99.523932 140.422796 \nL 98.432685 140.192667 \nL 97.297371 139.77844 \nL 96.147497 139.187562 \nL 95.014494 138.432839 \nL 93.418247 137.035154 \nL 92.044275 135.396084 \nL 91.303568 134.222352 \nL 90.734931 133.026489 \nL 90.360286 131.847654 \nL 90.195287 130.725438 \nL 90.24817 129.698058 \nL 90.51897 128.8005 \nL 90.99923 128.062742 \nL 91.672202 127.508386 \nL 92.513659 127.153599 \nL 93.493122 127.006642 \nL 94.575483 127.067852 \nL 95.722843 127.330149 \nL 96.896404 127.779878 \nL 98.058185 128.397897 \nL 99.701781 129.58848 \nL 101.135066 131.013896 \nL 102.276589 132.576584 \nL 103.06983 134.178612 \nL 103.388246 135.221978 \nL 103.532951 136.215098 \nL 103.503841 137.133805 \nL 103.304443 137.955953 \nL 102.941641 138.661634 \nL 102.425444 139.233409 \nL 101.768808 139.656517 \nL 100.987573 139.919159 \nL 100.100339 140.012829 \nL 99.1284 139.932692 \nL 98.095634 139.677942 \nL 97.028271 139.252228 \nL 95.424616 138.312878 \nL 93.908255 137.058679 \nL 92.582441 135.564795 \nL 91.544828 133.929288 \nL 91.054982 132.816613 \nL 90.749335 131.728313 \nL 90.640653 130.700749 \nL 90.734704 129.768602 \nL 91.029667 128.963181 \nL 91.515974 128.310955 \nL 92.176661 127.832368 \nL 92.988123 127.540937 \nL 93.921349 127.442976 \nL 94.943401 127.537581 \nL 96.019092 127.817196 \nL 97.112633 128.26835 \nL 98.710812 129.225509 \nL 100.164483 130.449578 \nL 101.385252 131.852573 \nL 102.306869 133.342441 \nL 102.88604 134.82847 \nL 103.101256 136.225236 \nL 103.0409 137.068181 \nL 102.821494 137.81626 \nL 102.450119 138.451092 \nL 101.936838 138.956728 \nL 101.294582 139.319876 \nL 100.539012 139.530181 \nL 99.688419 139.580541 \nL 98.763607 139.467446 \nL 97.288473 138.993448 \nL 95.785532 138.173438 \nL 94.348697 137.05048 \nL 93.074282 135.691247 \nL 92.05418 134.183854 \nL 91.367614 132.632783 \nL 91.124865 131.630092 \nL 91.066796 130.691416 \nL 91.196993 129.848126 \nL 91.512063 129.128192 \nL 92.001559 128.554893 \nL 92.648418 128.145792 \nL 93.429752 127.912061 \nL 94.317987 127.858269 \nL 95.282244 127.982467 \nL 96.289845 128.276703 \nL 97.8106 129.006645 \nL 99.249216 130.026102 \nL 100.513382 131.258217 \nL 101.52944 132.618484 \nL 102.244674 134.020636 \nL 102.627415 135.381172 \nL 102.665691 136.622643 \nL 102.502071 137.34965 \nL 102.193403 137.974842 \nL 101.748421 138.482494 \nL 101.178643 138.85938 \nL 100.498245 139.095042 \nL 99.723959 139.182068 \nL 98.874908 139.116406 \nL 97.508432 138.731856 \nL 96.102395 138.01947 \nL 94.743991 137.016457 \nL 93.523053 135.78189 \nL 92.525996 134.394948 \nL 91.828413 132.950543 \nL 91.487184 131.552269 \nL 91.474224 130.696918 \nL 91.635754 129.936401 \nL 91.967031 129.295593 \nL 92.456952 128.79486 \nL 93.0885 128.449207 \nL 93.839542 128.267737 \nL 94.68392 128.253484 \nL 95.59271 128.403598 \nL 97.010236 128.91748 \nL 98.402987 129.734272 \nL 99.677745 130.789361 \nL 100.755899 132.007193 \nL 101.577132 133.307399 \nL 102.10076 134.609729 \nL 102.305332 135.837867 \nL 102.187281 136.922143 \nL 101.934993 137.53463 \nL 101.552119 138.040481 \nL 101.048854 138.426571 \nL 100.437977 138.682401 \nL 99.734737 138.800308 \nL 98.545702 138.709611 \nL 97.256872 138.298656 \nL 95.945008 137.585994 \nL 94.692533 136.610436 \nL 93.58303 135.430812 \nL 92.695406 134.123793 \nL 92.096978 132.779357 \nL 91.83638 131.493878 \nL 91.863273 130.716504 \nL 92.05155 130.032891 \nL 92.395369 129.465124 \nL 92.883119 129.030936 \nL 93.497958 128.743014 \nL 94.218564 128.608624 \nL 95.020145 128.629467 \nL 96.3148 128.942461 \nL 97.635877 129.563147 \nL 98.892006 130.439678 \nL 100.002132 131.506644 \nL 100.900348 132.690844 \nL 101.538367 133.916553 \nL 101.886149 135.109695 \nL 101.93124 136.200991 \nL 101.677492 137.128472 \nL 101.35098 137.629319 \nL 100.908641 138.020742 \nL 100.361949 138.292227 \nL 99.724762 138.435919 \nL 98.635057 138.401973 \nL 97.441093 138.067301 \nL 96.213951 137.446753 \nL 95.030253 136.574008 \nL 93.96811 135.501378 \nL 93.101868 134.297983 \nL 92.495856 133.045761 \nL 92.198024 131.833508 \nL 92.234188 130.749147 \nL 92.444911 130.13686 \nL 92.797826 129.636326 \nL 93.281014 129.262919 \nL 93.877888 129.027288 \nL 94.567958 128.935043 \nL 95.725998 129.065418 \nL 96.954711 129.500419 \nL 98.16696 130.201166 \nL 99.28166 131.113022 \nL 100.22939 132.171039 \nL 100.955879 133.305208 \nL 101.423615 134.444795 \nL 101.611992 135.521922 \nL 101.51648 136.47433 \nL 101.147456 137.247582 \nL 100.760828 137.64102 \nL 99.995539 138.021899 \nL 99.047914 138.130756 \nL 97.972514 137.957455 \nL 96.832679 137.50794 \nL 95.698174 136.805408 \nL 94.641862 135.890609 \nL 93.735318 134.820823 \nL 93.043444 133.667037 \nL 92.618633 132.509289 \nL 92.495193 131.430277 \nL 92.684983 130.508015 \nL 92.980237 130.01355 \nL 93.399688 129.633752 \nL 93.929083 129.3797 \nL 94.550394 129.257907 \nL 95.60819 129.325984 \nL 96.746769 129.682211 \nL 97.885109 130.2941 \nL 98.946362 131.113467 \nL 99.86338 132.081384 \nL 100.582392 133.133063 \nL 101.064951 134.202068 \nL 101.288437 135.22387 \nL 101.245593 136.138708 \nL 100.943565 136.893814 \nL 100.402751 137.445366 \nL 99.655666 137.760238 \nL 98.745759 137.817678 \nL 97.72607 137.61099 \nL 96.657437 137.148839 \nL 95.606049 136.456185 \nL 94.640069 135.574198 \nL 93.825331 134.558901 \nL 93.22028 133.478203 \nL 92.870665 132.407221 \nL 92.804623 131.422231 \nL 93.029128 130.59396 \nL 93.33335 130.158484 \nL 93.749996 129.832325 \nL 94.264993 129.624771 \nL 95.183164 129.545752 \nL 96.214516 129.743268 \nL 97.284516 130.196568 \nL 98.319126 130.86812 \nL 99.250601 131.707884 \nL 100.021832 132.65781 \nL 100.589055 133.656072 \nL 100.923103 134.640855 \nL 101.009536 135.553355 \nL 100.848047 136.340285 \nL 100.451508 136.95589 \nL 99.844932 137.363788 \nL 99.064332 137.538607 \nL 98.155437 137.467588 \nL 97.172185 137.151904 \nL 96.174611 136.607724 \nL 95.226026 135.866472 \nL 94.389388 134.974079 \nL 93.722917 133.988866 \nL 93.275252 132.977992 \nL 93.080777 132.012373 \nL 93.155693 131.160807 \nL 93.495741 130.483769 \nL 94.07596 130.028033 \nL 94.852783 129.822716 \nL 95.768225 129.877336 \nL 96.755434 130.182086 \nL 97.744809 130.709883 \nL 98.669771 131.419902 \nL 99.471515 132.26146 \nL 100.102347 133.17819 \nL 100.527606 134.111831 \nL 100.72644 135.005381 \nL 100.69165 135.805813 \nL 100.429027 136.466253 \nL 99.956431 136.947867 \nL 99.302751 137.221536 \nL 98.506752 137.26939 \nL 97.615642 137.086196 \nL 96.683341 136.680413 \nL 95.768033 136.074746 \nL 94.929137 135.305831 \nL 94.223499 134.422864 \nL 93.701099 133.484831 \nL 93.400613 132.556477 \nL 93.345495 131.70321 \nL 93.541134 130.985498 \nL 93.973732 130.453547 \nL 94.611186 130.142867 \nL 95.406004 130.07168 \nL 96.299803 130.240016 \nL 97.228694 130.630788 \nL 98.128824 131.212347 \nL 98.941235 131.941829 \nL 99.802781 133.057163 \nL 100.234854 133.930507 \nL 100.4577 134.775475 \nL 100.462135 135.541416 \nL 100.251405 136.183106 \nL 99.840399 136.662666 \nL 99.254681 136.951193 \nL 98.529349 137.03025 \nL 97.707714 136.893178 \nL 96.839592 136.546092 \nL 95.979071 136.008394 \nL 94.939315 135.052829 \nL 94.135867 133.926131 \nL 93.750618 133.049263 \nL 93.58495 132.212648 \nL 93.652156 131.475212 \nL 93.948114 130.888702 \nL 94.451245 130.493241 \nL 95.124264 130.313993 \nL 95.917621 130.359617 \nL 96.774086 130.622267 \nL 97.633805 131.079245 \nL 98.686328 131.929262 \nL 99.524951 132.956413 \nL 100.062983 134.041901 \nL 100.237915 134.822294 \nL 100.208154 135.521347 \nL 99.97847 136.097574 \nL 99.564577 136.516713 \nL 98.992127 136.753263 \nL 98.295621 136.791891 \nL 97.517011 136.628597 \nL 96.703948 136.271527 \nL 95.654777 135.531309 \nL 94.75673 134.56592 \nL 94.118879 133.487521 \nL 93.861634 132.682752 \nL 93.816898 131.943868 \nL 93.988758 131.32263 \nL 94.365033 130.86202 \nL 94.918091 130.592596 \nL 95.607259 130.530221 \nL 96.382547 130.675354 \nL 97.189097 131.013789 \nL 98.218353 131.717754 \nL 99.087284 132.62676 \nL 99.702665 133.633206 \nL 100.004146 134.624295 \nL 100.008045 135.292759 \nL 99.823324 135.852211 \nL 99.463036 136.269243 \nL 98.949859 136.518552 \nL 98.315023 136.584276 \nL 97.596978 136.461096 \nL 96.586822 136.015068 \nL 95.620295 135.291533 \nL 94.809869 134.371056 \nL 94.254186 133.361254 \nL 94.048549 132.618683 \nL 94.042351 131.946289 \nL 94.236634 131.390936 \nL 94.617472 130.990632 \nL 95.156993 130.771568 \nL 95.815812 130.746205 \nL 96.546567 130.912717 \nL 97.544281 131.405419 \nL 98.46009 132.14474 \nL 99.191049 133.039608 \nL 99.660612 133.986353 \nL 99.824226 134.880263 \nL 99.738293 135.457708 \nL 99.480774 135.916471 \nL 99.068586 136.228899 \nL 98.52726 136.375672 \nL 97.889799 136.346951 \nL 96.958406 136.038164 \nL 96.029085 135.450834 \nL 95.208346 134.649337 \nL 94.594152 133.726018 \nL 94.262898 132.791165 \nL 94.227503 132.151468 \nL 94.379326 131.614138 \nL 94.707566 131.215995 \nL 95.188332 130.983261 \nL 95.786679 130.929728 \nL 96.459686 131.056042 \nL 97.391469 131.481894 \nL 98.260656 132.147192 \nL 98.968663 132.969501 \nL 99.440228 133.852883 \nL 99.629419 134.69887 \nL 99.52175 135.415946 \nL 99.254814 135.822326 \nL 98.846741 136.088018 \nL 98.322851 136.196462 \nL 97.500477 136.085014 \nL 96.620017 135.691791 \nL 95.780382 135.058538 \nL 95.079191 134.256405 \nL 94.601153 133.379253 \nL 94.406195 132.532707 \nL 94.462553 131.980557 \nL 94.689496 131.542077 \nL 95.070642 131.246723 \nL 95.578359 131.113237 \nL 96.17613 131.148332 \nL 97.039858 131.446645 \nL 97.883671 131.991699 \nL 98.609864 132.714307 \nL 99.138957 133.528532 \nL 99.417043 134.342021 \nL 99.419219 135.065603 \nL 99.241423 135.501846 \nL 98.922588 135.816932 \nL 98.48292 135.991513 \nL 97.756588 135.987689 \nL 96.944014 135.713875 \nL 96.135794 135.198606 \nL 95.42468 134.49904 \nL 94.895162 133.696025 \nL 94.612362 132.885233 \nL 94.612217 132.165016 \nL 94.799277 131.737693 \nL 95.132912 131.439748 \nL 95.589038 131.290324 \nL 96.330304 131.334599 \nL 97.138338 131.644866 \nL 97.915947 132.178334 \nL 98.573677 132.868207 \nL 99.039878 133.633022 \nL 99.267204 134.386305 \nL 99.235645 135.045465 \nL 98.952705 135.53937 \nL 98.594622 135.768442 \nL 97.965251 135.858311 \nL 97.226639 135.693224 \nL 96.460768 135.289885 \nL 95.754648 134.69251 \nL 95.190992 133.969372 \nL 94.837949 133.20573 \nL 94.739515 132.493504 \nL 94.908372 131.91904 \nL 95.198831 131.620866 \nL 95.607399 131.458691 \nL 96.284509 131.468606 \nL 97.034865 131.729264 \nL 97.768041 132.204387 \nL 98.399205 132.834184 \nL 98.858898 133.543858 \nL 99.099657 134.252689 \nL 99.099348 134.882447 \nL 98.861826 135.364835 \nL 98.415441 135.64763 \nL 97.810047 135.699607 \nL 97.112493 135.514037 \nL 96.400634 135.110315 \nL 95.755724 134.533254 \nL 95.253518 133.849235 \nL 94.954708 133.139102 \nL 94.896367 132.488247 \nL 95.085941 131.97527 \nL 95.377506 131.718551 \nL 95.925914 131.578062 \nL 96.592583 131.678275 \nL 97.295812 132.002411 \nL 98.099906 132.655434 \nL 98.690059 133.466854 \nL 98.941013 134.132643 \nL 98.967941 134.733007 \nL 98.771423 135.202506 \nL 98.375385 135.490175 \nL 97.82441 135.564374 \nL 97.179599 135.416191 \nL 96.513011 135.061174 \nL 95.764558 134.388634 \nL 95.236746 133.576555 \nL 95.041858 132.92675 \nL 95.076979 132.361597 \nL 95.337641 131.948879 \nL 95.790892 131.736743 \nL 96.379846 131.747578 \nL 97.031885 131.975929 \nL 97.816839 132.517565 \nL 98.438208 133.244572 \nL 98.791099 134.025104 \nL 98.841602 134.596257 \nL 98.68201 135.051733 \nL 98.332209 135.341969 \nL 97.831894 135.435095 \nL 97.2368 135.320329 \nL 96.461606 134.905075 \nL 95.780167 134.257731 \nL 95.316824 133.494839 \nL 95.163372 132.895777 \nL 95.225101 132.3848 \nL 95.494131 132.022856 \nL 95.936552 131.851822 \nL 96.497153 131.889232 \nL 97.107244 132.12684 \nL 97.829054 132.655174 \nL 98.386564 133.344748 \nL 98.685973 134.071088 \nL 98.707035 134.5932 \nL 98.533027 135.00027 \nL 98.185164 135.247878 \nL 97.702872 135.308751 \nL 97.140066 135.175748 \nL 96.420095 134.760747 \nL 95.801519 134.139586 \nL 95.397345 133.424525 \nL 95.283181 132.747503 \nL 95.417108 132.318685 \nL 95.734605 132.045967 \nL 96.195887 131.960067 \nL 96.743923 132.068204 \nL 97.44973 132.449458 \nL 98.059041 133.031861 \nL 98.466072 133.707818 \nL 98.604504 134.357585 \nL 98.5077 134.782563 \nL 98.239001 135.07207 \nL 97.829438 135.194346 \nL 97.325044 135.135695 \nL 96.648074 134.819321 \nL 96.031669 134.286604 \nL 95.587432 133.633214 \nL 95.397647 132.979018 \nL 95.454767 132.537151 \nL 95.691196 132.225215 \nL 96.077289 132.079147 \nL 96.565179 132.113951 \nL 97.227233 132.398869 \nL 97.833617 132.896153 \nL 98.277388 133.512609 \nL 98.484358 134.13777 \nL 98.423408 134.662916 \nL 98.190081 134.949642 \nL 97.821005 135.082737 \nL 97.23332 135.012285 \nL 96.602384 134.691935 \nL 96.040241 134.178053 \nL 95.648812 133.563268 \nL 95.500486 132.960413 \nL 95.622757 132.481014 \nL 95.900849 132.246532 \nL 96.302957 132.174288 \nL 96.90387 132.319498 \nL 97.508764 132.694407 \nL 98.008654 133.226802 \nL 98.317375 133.819381 \nL 98.385016 134.367546 \nL 98.20402 134.776693 \nL 97.90198 134.955772 \nL 97.384165 134.962048 \nL 96.796469 134.727437 \nL 96.242858 134.29311 \nL 95.762487 133.619857 \nL 95.601696 133.052428 \nL 95.692575 132.591051 \nL 95.935883 132.356126 \nL 96.299273 132.270348 \nL 96.853548 132.383313 \nL 97.421737 132.715074 \nL 97.978566 133.309721 \nL 98.27094 133.970369 \nL 98.261878 134.450756 \nL 98.026404 134.778233 \nL 97.607675 134.896723 \nL 97.079594 134.785881 \nL 96.535242 134.465109 \nL 95.996611 133.885664 \nL 95.71377 133.238159 \nL 95.72971 132.769916 \nL 95.972698 132.458991 \nL 96.395769 132.360708 \nL 96.91853 132.489443 \nL 97.540755 132.901869 \nL 98.007298 133.487184 \nL 98.204217 134.0941 \nL 98.128725 134.50589 \nL 97.850581 134.755643 \nL 97.419921 134.800547 \nL 96.912757 134.633016 \nL 96.329681 134.1957 \nL 95.915479 133.609405 \nL 95.778287 133.027309 \nL 95.903683 132.65676 \nL 96.222984 132.463221 \nL 96.675141 132.479573 \nL 97.273022 132.764146 \nL 97.783969 133.259545 \nL 98.080218 133.835488 \nL 98.092242 134.345952 \nL 97.884469 134.628694 \nL 97.51768 134.72864 \nL 97.056927 134.628748 \nL 96.495157 134.272512 \nL 96.059393 133.747312 \nL 95.862829 133.189914 \nL 95.920909 132.806973 \nL 96.17017 132.573458 \nL 96.56281 132.530286 \nL 97.118126 132.733748 \nL 97.627089 133.157592 \nL 97.960927 133.689152 \nL 98.03944 134.19252 \nL 97.897045 134.49884 \nL 97.592788 134.644939 \nL 97.181031 134.605813 \nL 96.648312 134.326788 \nL 96.202091 133.864706 \nL 95.957742 133.33953 \nL 95.978751 132.888774 \nL 96.196004 132.656116 \nL 96.552166 132.598576 \nL 97.067513 132.769142 \nL 97.550287 133.151692 \nL 97.910995 133.728232 \nL 97.961439 134.189532 \nL 97.810617 134.461247 \nL 97.513018 134.579468 \nL 97.038287 134.492473 \nL 96.550222 134.179701 \nL 96.129409 133.639413 \nL 96.002832 133.163852 \nL 96.129113 132.808245 \nL 96.403916 132.671235 \nL 96.859717 132.732146 \nL 97.337655 133.016827 \nL 97.760283 133.526157 \nL 97.905472 134.054736 \nL 97.773337 134.385761 \nL 97.506471 134.510411 \nL 97.06934 134.446887 \nL 96.540719 134.106375 \nL 96.166015 133.595382 \nL 96.069013 133.15763 \nL 96.207241 132.841019 \nL 96.476121 132.729847 \nL 96.907723 132.806859 \nL 97.415789 133.149998 \nL 97.761837 133.644263 \nL 97.831574 134.117877 \nL 97.654884 134.384381 \nL 97.307142 134.451002 \nL 96.877257 134.301937 \nL 96.418011 133.909718 \nL 96.155214 133.415805 \nL 96.158316 133.0437 \nL 96.372368 132.821717 \nL 96.739029 132.805541 \nL 97.228333 133.04439 \nL 97.620455 133.472931 \nL 97.783213 133.940353 \nL 97.699253 134.250014 \nL 97.432044 134.393262 \nL 97.05056 134.335071 \nL 96.591367 134.0362 \nL 96.268103 133.59103 \nL 96.193204 133.156082 \nL 96.348053 132.908475 \nL 96.662559 132.844483 \nL 97.117748 133.016964 \nL 97.514624 133.390035 \nL 97.718056 133.831335 \nL 97.662822 134.189225 \nL 97.424792 134.336474 \nL 97.074037 134.296604 \nL 96.642417 134.030912 \nL 96.300862 133.558256 \nL 96.251133 133.159845 \nL 96.411185 132.942597 \nL 96.714295 132.899586 \nL 97.139857 133.077884 \nL 97.53831 133.494364 \nL 97.677534 133.953097 \nL 97.539509 134.228137 \nL 97.263955 134.293194 \nL 96.857837 134.148421 \nL 96.454483 133.761312 \nL 96.287995 133.309231 \nL 96.397998 133.022949 \nL 96.65401 132.940766 \nL 97.045875 133.061662 \nL 97.446506 133.421927 \nL 97.628346 133.857641 \nL 97.545492 134.147425 \nL 97.315726 134.247355 \nL 96.945347 134.156888 \nL 96.54527 133.826783 \nL 96.340965 133.401621 \nL 96.397451 133.104144 \nL 96.607487 132.989371 \nL 96.962445 133.05783 \nL 97.357389 133.362158 \nL 97.573083 133.769588 \nL 97.518174 134.0979 \nL 97.268186 134.205057 \nL 96.919089 134.104973 \nL 96.553615 133.785787 \nL 96.379852 133.389889 \nL 96.448576 133.122581 \nL 96.698565 133.027371 \nL 97.088801 133.164734 \nL 97.448368 133.544739 \nL 97.542052 133.912691 \nL 97.413561 134.12272 \nL 97.134963 134.152804 \nL 96.758135 133.958606 \nL 96.460623 133.561858 \nL 96.439224 133.227867 \nL 96.619918 133.076037 \nL 96.920241 133.110611 \nL 97.309627 133.396908 \nL 97.50249 133.794094 \nL 97.422575 134.059471 \nL 97.185588 134.125279 \nL 96.833971 133.982231 \nL 96.523958 133.628792 \nL 96.469667 133.267882 \nL 96.628066 133.115914 \nL 96.946988 133.153607 \nL 97.304285 133.432211 \nL 97.468766 133.802239 \nL 97.379446 134.039533 \nL 97.15 134.0879 \nL 96.782461 133.909871 \nL 96.511417 133.523628 \nL 96.539886 133.222496 \nL 96.735991 133.136473 \nL 97.05102 133.23809 \nL 97.371182 133.580325 \nL 97.423739 133.904852 \nL 97.255941 134.052981 \nL 96.963848 134.000161 \nL 96.624411 133.69847 \nL 96.52759 133.338549 \nL 96.674914 133.179017 \nL 96.952901 133.213691 \nL 97.289416 133.49264 \nL 97.402393 133.842737 \nL 97.276973 134.010928 \nL 97.017347 133.996575 \nL 96.683748 133.742477 \nL 96.551927 133.399269 \nL 96.682671 133.211684 \nL 96.937799 133.233239 \nL 97.256768 133.484969 \nL 97.374703 133.81368 \nL 97.242859 133.988445 \nL 96.961816 133.947357 \nL 96.667668 133.683612 \nL 96.585774 133.371238 \nL 96.741525 133.22835 \nL 97.023289 133.299859 \nL 97.305234 133.604762 \nL 97.322751 133.884338 \nL 97.159015 133.973449 \nL 96.88289 133.87745 \nL 96.631988 133.569076 \nL 96.647073 133.313009 \nL 96.854025 133.255898 \nL 97.149541 133.420893 \nL 97.321383 133.736148 \nL 97.226989 133.931112 \nL 96.990007 133.915327 \nL 96.705537 133.67106 \nL 96.642813 133.378303 \nL 96.797446 133.274856 \nL 97.073978 133.378464 \nL 97.29136 133.689213 \nL 97.235712 133.894208 \nL 97.028678 133.909327 \nL 96.750208 133.704799 \nL 96.661855 133.402694 \nL 96.798575 133.297867 \nL 97.055338 133.385131 \nL 97.266923 133.672079 \nL 97.209297 133.880476 \nL 96.98531 133.874086 \nL 96.723787 133.635535 \nL 96.703896 133.373706 \nL 96.890828 133.324901 \nL 97.167157 133.513436 \nL 97.243801 133.802975 \nL 97.088103 133.883342 \nL 96.834244 133.754017 \nL 96.695416 133.464954 \nL 96.822529 133.33779 \nL 97.06785 133.431828 \nL 97.23637 133.707726 \nL 97.145647 133.858913 \nL 96.914951 133.801695 \nL 96.72033 133.543268 \nL 96.790445 133.365169 \nL 97.010277 133.407429 \nL 97.214034 133.672125 \nL 97.141009 133.839572 \nL 96.928022 133.794515 \nL 96.734897 133.5369 \nL 96.810669 133.378617 \nL 97.018284 133.42756 \nL 97.199572 133.677704 \nL 97.121618 133.826277 \nL 96.901932 133.761803 \nL 96.747072 133.497636 \nL 96.86063 133.387874 \nL 97.092619 133.504716 \nL 97.176416 133.757014 \nL 97.039689 133.813189 \nL 96.810267 133.649405 \nL 96.797487 133.426188 \nL 96.978734 133.431376 \nL 97.166697 133.653374 \nL 97.100953 133.797902 \nL 97.087451 133.800676 \nL 96.878671 133.714439 \nL 96.784515 133.471736 \nL 96.921888 133.421782 \nL 97.132536 133.595605 \nL 97.109007 133.778852 \nL 96.920555 133.736562 \nL 96.789805 133.509919 \nL 96.903847 133.430173 \nL 97.109269 133.5747 \nL 97.104241 133.764876 \nL 96.930437 133.732324 \nL 96.802835 133.509996 \nL 96.929325 133.445973 \nL 97.118603 133.61188 \nL 97.090262 133.75673 \nL 97.069672 133.763228 \nL 96.888623 133.686807 \nL 96.833621 133.475398 \nL 96.978862 133.474831 \nL 97.123312 133.679313 \nL 97.034946 133.754148 \nL 97.010748 133.750431 \nL 96.833627 133.590463 \nL 96.870384 133.466916 \nL 96.900844 133.462241 \nL 97.080246 133.576049 \nL 97.08198 133.733198 \nL 97.056013 133.742899 \nL 96.879474 133.654217 \nL 96.858262 133.486264 \nL 96.88186 133.474854 \nL 97.052731 133.551605 \nL 97.077651 133.7225 \nL 97.062805 133.73027 \nL 96.898336 133.665543 \nL 96.86304 133.496624 \nL 96.884095 133.484793 \nL 97.043286 133.550862 \nL 97.073222 133.7125 \nL 97.052405 133.723259 \nL 96.890747 133.647137 \nL 96.873387 133.501475 \nL 96.910668 133.489421 \nL 97.068927 133.597375 \nL 97.057043 133.711351 \nL 97.008775 133.716776 \nL 96.861259 133.574241 \nL 96.90323 133.498532 \nL 96.954926 133.504034 \nL 97.077994 133.663068 \nL 97.010149 133.709864 \nL 96.965721 133.695267 \nL 96.873818 133.529107 \nL 96.877373 133.523705 \nL 97.00366 133.537329 \nL 97.059901 133.686363 \nL 97.032915 133.702102 \nL 96.891387 133.618325 \nL 96.894861 133.519069 \nL 96.957626 133.517521 \nL 97.061041 133.668424 \nL 97.058597 133.673888 \nL 96.957911 133.678899 \nL 96.935349 133.662784 \nL 96.889827 133.534026 \nL 96.933219 133.517942 \nL 97.058056 133.643466 \nL 97.011924 133.690838 \nL 96.947762 133.666738 \nL 96.893872 133.540785 \nL 96.939289 133.524203 \nL 97.051759 133.650049 \nL 96.992946 133.683175 \nL 96.939434 133.654922 \nL 96.9006 133.543053 \nL 96.983949 133.545842 \nL 97.040527 133.663589 \nL 96.975458 133.672777 \nL 96.901711 133.552877 \nL 96.93816 133.534387 \nL 97.041173 133.644677 \nL 97.038805 133.653872 \nL 96.971931 133.666861 \nL 96.927987 133.633099 \nL 96.912833 133.547911 \nL 97.025879 133.662401 \nL 96.97118 133.613972 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p56046b6809\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     },
@@ -681,8 +681,8 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.006574pt\" version=\"1.1\" viewBox=\"0 0 293.67164 285.006574\" width=\"293.67164pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T13:21:26.328326</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.006574 \nL 293.67164 285.006574 \nL 293.67164 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 44.123026 213.1939 \nL 131.110851 138.668242 \nL 130.564979 32.013261 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 66.840123 220.613304 \nL 152.600038 144.9143 \nL 152.977757 37.694247 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 89.931935 228.15509 \nL 174.414121 151.254793 \nL 175.744142 43.464862 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 113.407813 235.822312 \nL 196.560526 157.691879 \nL 198.872569 49.327244 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 137.277417 243.618124 \nL 219.046905 164.227781 \nL 222.371745 55.2836 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 161.550736 251.54579 \nL 241.881146 170.864794 \nL 246.250654 61.336207 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 44.880684 212.544787 \nL 42.60445 214.49492 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(26.049401 236.556796)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 67.587583 219.953532 \nL 65.341959 221.935711 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(51.971371 244.133523)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 90.668758 227.484394 \nL 88.455067 229.499416 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(79.278462 251.835699)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 114.133539 235.140418 \nL 111.95316 237.189106 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(102.781666 259.666469)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 137.991569 242.924751 \nL 135.845936 245.007955 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(123.499324 267.629079)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 162.252818 250.840644 \nL 160.143423 252.959245 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(147.804014 275.726886)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_8\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 35.185938 85.280828 \nL 39.963459 197.076923 \nL 188.267907 244.723848 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 49.156672 75.085622 \nL 53.267854 185.924915 \nL 200.320067 232.355368 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 62.766494 65.153794 \nL 66.243287 175.04865 \nL 212.058704 220.308638 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 76.029211 55.475267 \nL 78.901811 164.438025 \nL 223.495896 208.571266 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 88.957933 46.040475 \nL 91.254894 154.083425 \nL 234.643107 197.131485 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 101.565121 36.840323 \nL 103.313461 143.975695 \nL 245.511227 185.97812 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 187.018554 244.322459 \nL 190.769824 245.527659 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(190.515789 265.654402)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 199.082084 231.964486 \nL 202.799171 233.138124 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −5 -->\n     <g transform=\"translate(205.587489 253.102864)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 210.831927 219.927856 \nL 214.515327 221.071156 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(221.358289 240.878027)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 222.280161 208.200197 \nL 225.930368 209.314319 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 5 -->\n     <g transform=\"translate(232.641678 228.967301)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 233.438252 196.769763 \nL 237.055755 197.855811 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 10 -->\n     <g transform=\"translate(240.457574 217.358732)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_14\">\n     <path d=\"M 244.317092 185.625396 \nL 247.902373 186.684417 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 15 -->\n     <g transform=\"translate(251.179234 206.040967)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_15\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.05534 156.047355 \nL 114.960859 115.659848 \nL 26.357495 188.264894 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.838555 138.943928 \nL 114.770532 99.1085 \nL 25.513551 170.739856 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.632684 121.602187 \nL 114.57768 82.337635 \nL 24.657396 152.961238 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.437955 104.017116 \nL 114.382254 65.342857 \nL 23.788762 134.923495 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.254606 86.183556 \nL 114.184201 48.119651 \nL 22.907375 116.620922 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 261.082878 68.096204 \nL 113.983468 30.66338 \nL 22.012952 98.047642 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 255.862344 155.70827 \nL 259.44419 156.726338 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 5 -->\n     <g transform=\"translate(272.260836 161.078037)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 256.636994 138.609369 \nL 260.244577 139.613854 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 10 -->\n     <g transform=\"translate(269.987243 144.008931)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 257.422434 121.272314 \nL 261.056125 122.262736 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 15 -->\n     <g transform=\"translate(270.907509 126.702717)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 258.21889 103.692093 \nL 261.879069 104.667957 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 20 -->\n     <g transform=\"translate(271.840648 109.15442)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_18\">\n    <g id=\"line2d_21\">\n     <path d=\"M 259.026596 85.863554 \nL 262.713652 86.824349 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- 25 -->\n     <g transform=\"translate(272.786932 91.358924)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_19\">\n    <g id=\"line2d_22\">\n     <path d=\"M 259.845792 67.781398 \nL 263.560122 68.726595 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_19\">\n     <!-- 30 -->\n     <g transform=\"translate(273.74664 73.310971)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_23\">\n    <path clip-path=\"url(#p0a62bd18b7)\" d=\"M 131.955525 193.311449 \nL 131.338516 192.189151 \nL 131.29826 191.821208 \nL 131.56346 191.290889 \nL 132.161963 190.896797 \nL 133.548661 190.358641 \nL 146.378643 186.11828 \nL 152.529071 183.761198 \nL 157.64208 181.620587 \nL 163.7113 178.861718 \nL 170.855816 175.302043 \nL 174.861375 173.153503 \nL 179.165138 170.717818 \nL 183.767196 167.961695 \nL 188.659582 164.851117 \nL 193.823599 161.352876 \nL 199.226636 157.436831 \nL 204.818495 153.07904 \nL 210.527338 148.265948 \nL 216.255527 142.999689 \nL 221.875721 137.304444 \nL 227.228031 131.233565 \nL 232.119104 124.876709 \nL 236.324558 118.365804 \nL 239.596173 111.877956 \nL 241.675403 105.632983 \nL 242.31408 99.88304 \nL 241.301972 94.892649 \nL 238.498678 90.909184 \nL 233.864712 88.12725 \nL 227.484345 86.654126 \nL 219.572254 86.485849 \nL 210.458747 87.502993 \nL 200.553997 89.489947 \nL 190.298551 92.173595 \nL 180.111898 95.270255 \nL 170.350846 98.527534 \nL 161.284924 101.751389 \nL 153.08983 104.815326 \nL 145.855028 107.654963 \nL 139.599529 110.254073 \nL 134.290401 112.628266 \nL 129.860236 114.810325 \nL 126.221665 116.839132 \nL 123.278409 118.752455 \nL 120.933086 120.582971 \nL 119.092361 122.356617 \nL 117.670067 124.092449 \nL 116.588839 125.803354 \nL 115.78073 127.497104 \nL 115.187141 129.177525 \nL 114.758313 130.845587 \nL 114.235425 134.13957 \nL 113.859448 138.936076 \nL 113.401531 144.950656 \nL 113.026749 147.762695 \nL 112.503679 150.435939 \nL 111.808518 152.969036 \nL 110.921532 155.362791 \nL 109.823406 157.618738 \nL 108.493026 159.737809 \nL 106.906184 161.719105 \nL 105.034959 163.558616 \nL 102.847613 165.247794 \nL 100.309016 166.771801 \nL 97.381759 168.107355 \nL 94.028218 169.220077 \nL 90.214012 170.061263 \nL 85.913451 170.564271 \nL 83.577085 170.66232 \nL 81.117738 170.640877 \nL 78.538875 170.485084 \nL 75.846712 170.178512 \nL 73.050808 169.703247 \nL 70.164721 169.040111 \nL 67.206704 168.168992 \nL 64.200406 167.069391 \nL 61.175529 165.721185 \nL 58.168402 164.105641 \nL 55.222337 162.20673 \nL 52.387707 160.012729 \nL 49.721594 157.518086 \nL 47.286883 154.725463 \nL 45.150691 151.647842 \nL 43.382021 148.310433 \nL 42.04866 144.752162 \nL 41.213386 141.026396 \nL 40.929704 137.200542 \nL 41.237465 133.354361 \nL 42.158842 129.576747 \nL 43.69517 125.961141 \nL 45.825227 122.599913 \nL 48.505235 119.578251 \nL 51.670823 116.968377 \nL 55.240714 114.824756 \nL 59.121835 113.181035 \nL 63.215139 112.049003 \nL 67.421516 111.419619 \nL 71.647117 111.265786 \nL 75.807641 111.54634 \nL 79.831272 112.210585 \nL 83.660271 113.20276 \nL 87.251329 114.466024 \nL 90.574895 115.945581 \nL 93.613836 117.590928 \nL 96.361615 119.357211 \nL 98.820335 121.205863 \nL 100.998751 123.104647 \nL 102.910443 125.027306 \nL 104.572191 126.952997 \nL 106.002614 128.865585 \nL 107.221066 130.752912 \nL 108.246793 132.606114 \nL 109.098299 134.418963 \nL 109.792912 136.18733 \nL 110.773368 139.581746 \nL 111.29566 142.782054 \nL 111.441302 145.791761 \nL 111.268036 148.619345 \nL 110.813333 151.274791 \nL 110.098023 153.767564 \nL 109.129505 156.105439 \nL 107.904335 158.293714 \nL 106.410236 160.334529 \nL 104.627647 162.22605 \nL 102.531058 163.961463 \nL 100.090328 165.527563 \nL 97.272328 166.902947 \nL 94.043244 168.055662 \nL 90.372045 168.940375 \nL 86.235652 169.495152 \nL 83.989783 169.624117 \nL 81.62655 169.638239 \nL 79.14921 169.5238 \nL 76.56353 169.265654 \nL 73.878335 168.84731 \nL 71.106086 168.251115 \nL 68.263517 167.458558 \nL 65.372261 166.450752 \nL 62.45945 165.209097 \nL 59.558238 163.71618 \nL 56.708147 161.956928 \nL 53.955159 159.920002 \nL 51.351468 157.59945 \nL 48.954745 154.996519 \nL 46.826806 152.121526 \nL 45.031649 148.99563 \nL 43.632785 145.652226 \nL 42.689944 142.137774 \nL 42.255329 138.511679 \nL 42.369653 134.845061 \nL 43.058415 131.21822 \nL 44.328809 127.71687 \nL 46.167748 124.427313 \nL 48.541388 121.431093 \nL 51.396294 118.799626 \nL 54.662267 116.589591 \nL 58.256527 114.839587 \nL 62.088763 113.568524 \nL 66.066465 112.775843 \nL 70.09999 112.443397 \nL 74.106831 112.538613 \nL 78.014811 113.018382 \nL 81.764047 113.833115 \nL 85.307785 114.930548 \nL 88.61221 116.258886 \nL 91.655518 117.769249 \nL 94.426475 119.417253 \nL 96.922693 121.163932 \nL 99.14885 122.976056 \nL 101.114945 124.826017 \nL 102.834735 126.691424 \nL 104.324355 128.554545 \nL 105.601193 130.401689 \nL 106.682989 132.222543 \nL 107.58714 134.009577 \nL 108.330208 135.757504 \nL 109.39324 139.123309 \nL 109.977933 142.306246 \nL 110.166195 145.305239 \nL 110.017152 148.125524 \nL 109.570012 150.774707 \nL 108.847342 153.260431 \nL 107.858136 155.588917 \nL 106.600394 157.763992 \nL 105.063203 159.786215 \nL 103.228444 161.651989 \nL 101.072306 163.35242 \nL 98.566885 164.871851 \nL 95.682138 166.185986 \nL 92.388627 167.259576 \nL 88.661474 168.043701 \nL 86.630131 168.307475 \nL 84.486146 168.472878 \nL 82.230662 168.528712 \nL 79.86666 168.462481 \nL 77.399383 168.260396 \nL 74.836818 167.90746 \nL 72.190209 167.38762 \nL 69.474627 166.68404 \nL 66.70952 165.779498 \nL 63.919265 164.656969 \nL 61.133625 163.300392 \nL 58.388092 161.695649 \nL 55.72402 159.831786 \nL 53.188446 157.702425 \nL 50.833525 155.307338 \nL 48.715473 152.654105 \nL 46.892945 149.759708 \nL 45.424827 146.651855 \nL 44.367443 143.369856 \nL 43.771327 139.964773 \nL 43.677738 136.498639 \nL 44.115257 133.042577 \nL 45.096797 129.67384 \nL 46.617497 126.471827 \nL 48.653745 123.513519 \nL 51.163655 120.868681 \nL 54.088984 118.595455 \nL 57.358353 116.736928 \nL 60.891442 115.318985 \nL 64.603654 114.349766 \nL 68.410772 113.82067 \nL 72.233139 113.708584 \nL 75.998992 113.97904 \nL 79.646811 114.589765 \nL 83.126589 115.49414 \nL 86.400174 116.644355 \nL 89.440808 117.993912 \nL 92.232101 119.499493 \nL 94.766636 121.122111 \nL 97.044413 122.827752 \nL 99.071261 124.587504 \nL 100.857335 126.377387 \nL 102.41578 128.177947 \nL 103.761568 129.973767 \nL 104.910554 131.752891 \nL 105.878724 133.50627 \nL 106.681632 135.227256 \nL 107.333984 136.911127 \nL 108.240113 140.155914 \nL 108.690031 143.227578 \nL 108.754931 146.124041 \nL 108.485469 148.848672 \nL 107.914338 151.406787 \nL 107.059174 153.803478 \nL 105.925285 156.042166 \nL 104.50799 158.123513 \nL 102.794614 160.044441 \nL 100.766241 161.796995 \nL 98.399474 163.367017 \nL 95.668455 164.732443 \nL 92.547515 165.861264 \nL 89.014863 166.709149 \nL 85.057825 167.216923 \nL 82.920442 167.320153 \nL 80.680162 167.308343 \nL 78.341649 167.169108 \nL 75.911985 166.888976 \nL 73.401128 166.453533 \nL 70.822403 165.847624 \nL 68.192991 165.055719 \nL 65.534409 164.062378 \nL 62.872945 162.852898 \nL 60.239964 161.41414 \nL 57.672072 159.735556 \nL 55.21103 157.810363 \nL 52.903345 155.63692 \nL 50.799447 153.220139 \nL 48.952431 150.572898 \nL 47.416258 147.7173 \nL 46.243469 144.685557 \nL 45.482477 141.520359 \nL 45.17456 138.274499 \nL 45.350824 135.009583 \nL 46.029407 131.793837 \nL 47.213277 128.698973 \nL 48.888904 125.796414 \nL 51.02608 123.153155 \nL 53.579005 120.827714 \nL 56.488545 118.866692 \nL 59.685506 117.302268 \nL 63.094541 116.151011 \nL 66.638278 115.413981 \nL 70.241246 115.078089 \nL 73.833274 115.118392 \nL 77.352091 115.500996 \nL 80.745038 116.186119 \nL 83.969904 117.131058 \nL 86.994976 118.292731 \nL 89.79847 119.629684 \nL 92.367534 121.103557 \nL 94.696972 122.679972 \nL 96.787866 124.328954 \nL 98.646196 126.025017 \nL 100.281542 127.746976 \nL 101.705947 129.477573 \nL 102.932928 131.203048 \nL 103.976672 132.912649 \nL 104.851408 134.598167 \nL 105.570918 136.253475 \nL 106.595244 139.457083 \nL 107.140672 142.502432 \nL 107.279068 145.381604 \nL 107.063113 148.093747 \nL 106.528095 150.641103 \nL 105.694385 153.026405 \nL 104.569999 155.251145 \nL 103.152917 157.314279 \nL 101.433172 159.211068 \nL 99.394776 160.93188 \nL 97.017685 162.460799 \nL 94.280089 163.773966 \nL 91.161347 164.837653 \nL 87.645983 165.606104 \nL 83.729186 166.01943 \nL 81.623458 166.069936 \nL 79.42429 166.002054 \nL 77.137787 165.803858 \nL 74.772535 165.462557 \nL 72.340025 164.964694 \nL 69.855079 164.2964 \nL 67.336278 163.443799 \nL 64.806344 162.393521 \nL 62.292444 161.133386 \nL 59.826367 159.653218 \nL 57.44453 157.945862 \nL 55.187697 156.00828 \nL 53.100416 153.842788 \nL 51.230062 151.458275 \nL 49.625437 148.871353 \nL 48.334982 146.107251 \nL 47.404561 143.200349 \nL 46.874946 140.194139 \nL 46.779197 137.140499 \nL 47.140079 134.098172 \nL 47.96788 131.130471 \nL 49.258825 128.302301 \nL 50.994353 125.676717 \nL 53.141422 123.311396 \nL 55.653861 121.255285 \nL 58.474693 119.545968 \nL 61.539187 118.207873 \nL 64.778328 117.251645 \nL 68.122378 116.674578 \nL 71.504155 116.46205 \nL 74.861804 116.589634 \nL 78.140854 117.025662 \nL 81.295526 117.733841 \nL 84.289309 118.675704 \nL 87.0949 119.812744 \nL 89.693644 121.108049 \nL 92.074626 122.527471 \nL 94.233554 124.040384 \nL 96.171556 125.619995 \nL 97.893999 127.243412 \nL 99.409365 128.891481 \nL 100.728271 130.548487 \nL 101.862619 132.201766 \nL 102.824903 133.841311 \nL 103.627655 135.459367 \nL 104.283026 137.050034 \nL 105.196606 140.132932 \nL 105.645999 143.068086 \nL 105.694644 145.845599 \nL 105.388884 148.462138 \nL 104.759447 150.917226 \nL 103.823608 153.21074 \nL 102.587482 155.341133 \nL 101.048214 157.304053 \nL 99.19607 159.091051 \nL 97.01651 160.688273 \nL 94.492464 162.074957 \nL 91.607095 163.221751 \nL 88.347381 164.08887 \nL 84.708926 164.624282 \nL 82.750185 164.747632 \nL 80.70234 164.762332 \nL 78.570423 164.657991 \nL 76.361548 164.423451 \nL 74.08527 164.046907 \nL 71.753955 163.51613 \nL 69.383152 162.818762 \nL 66.991932 161.942719 \nL 64.603186 160.876724 \nL 62.24382 159.610961 \nL 59.944831 158.137871 \nL 57.741178 156.453067 \nL 55.67142 154.556322 \nL 53.777047 152.452645 \nL 52.101493 150.153283 \nL 50.688768 147.676618 \nL 49.581745 145.048805 \nL 48.820143 142.304022 \nL 48.438319 139.484198 \nL 48.463012 136.638168 \nL 48.911226 133.820109 \nL 49.788515 131.087386 \nL 51.087815 128.497866 \nL 52.789097 126.106959 \nL 54.859843 123.964609 \nL 57.25642 122.112589 \nL 59.92622 120.582405 \nL 62.810345 119.393962 \nL 65.846635 118.55518 \nL 68.972657 118.062479 \nL 72.128497 117.902101 \nL 75.25905 118.05192 \nL 78.315755 118.483629 \nL 81.257673 119.164934 \nL 84.051962 120.061651 \nL 86.673833 121.139482 \nL 89.106071 122.365414 \nL 91.338277 123.708761 \nL 93.365909 125.141786 \nL 95.189263 126.640048 \nL 96.812455 128.182473 \nL 98.242447 129.751232 \nL 99.488191 131.331538 \nL 100.559877 132.91131 \nL 101.468316 134.480851 \nL 102.224442 136.032504 \nL 102.838932 137.560315 \nL 103.682784 140.527362 \nL 104.071337 143.357912 \nL 104.061427 146.039342 \nL 103.694789 148.565415 \nL 102.999176 150.932736 \nL 101.990199 153.138252 \nL 100.673412 155.177427 \nL 99.046432 157.042759 \nL 97.10106 158.722409 \nL 94.825536 160.198809 \nL 92.207128 161.447166 \nL 89.23531 162.433878 \nL 85.905875 163.114953 \nL 82.226296 163.434753 \nL 80.262389 163.438462 \nL 78.222601 163.325537 \nL 76.114472 163.085811 \nL 73.947837 162.708653 \nL 71.735147 162.183186 \nL 69.491764 161.498582 \nL 67.236254 160.644456 \nL 64.990593 159.611357 \nL 62.780314 158.391377 \nL 60.634494 156.978853 \nL 58.585577 155.371186 \nL 56.668991 153.569691 \nL 54.922491 151.580495 \nL 53.385223 149.415364 \nL 52.096474 147.09242 \nL 51.094167 144.636576 \nL 50.413085 142.079698 \nL 50.082982 139.46024 \nL 50.126672 136.822436 \nL 50.558278 134.214916 \nL 51.381814 131.68882 \nL 52.590267 129.2955 \nL 54.165341 127.084021 \nL 56.077902 125.098642 \nL 58.289148 123.376555 \nL 60.752428 121.946098 \nL 63.415509 120.825642 \nL 66.22311 120.023212 \nL 69.119477 119.536856 \nL 72.050748 119.355655 \nL 74.966978 119.461222 \nL 77.823665 119.829476 \nL 80.582783 120.432515 \nL 83.213279 121.240382 \nL 85.691123 122.222625 \nL 87.998995 123.349573 \nL 90.125695 124.593281 \nL 92.065364 125.928173 \nL 93.816639 127.331403 \nL 95.381772 128.782984 \nL 96.765792 130.265783 \nL 97.97573 131.765343 \nL 99.019949 133.269668 \nL 99.907574 134.768935 \nL 100.648013 136.255223 \nL 101.724301 139.164988 \nL 102.317985 141.963276 \nL 102.48746 144.628868 \nL 102.278172 147.149376 \nL 101.722606 149.51713 \nL 100.84146 151.72619 \nL 99.645376 153.770164 \nL 98.136933 155.640493 \nL 96.312735 157.32498 \nL 94.165688 158.806395 \nL 91.687567 160.061066 \nL 88.872122 161.057474 \nL 85.718982 161.754914 \nL 82.23859 162.102532 \nL 80.383401 162.126419 \nL 78.458425 162.039143 \nL 76.470986 161.831656 \nL 74.430459 161.494559 \nL 72.348546 161.018304 \nL 70.239535 160.393458 \nL 68.12052 159.611047 \nL 66.011586 158.662996 \nL 63.935902 157.542638 \nL 61.919705 156.245337 \nL 59.992126 154.769158 \nL 58.184857 153.115598 \nL 56.531577 151.290327 \nL 55.067169 149.303892 \nL 53.826648 147.172288 \nL 52.843898 144.917355 \nL 52.150191 142.566894 \nL 51.772595 140.154431 \nL 51.732357 137.718536 \nL 52.043398 135.301744 \nL 52.711083 132.949035 \nL 53.731334 130.705963 \nL 55.090321 128.616577 \nL 56.764674 126.721319 \nL 58.722334 125.055062 \nL 60.923918 123.645481 \nL 63.324548 122.51194 \nL 65.87591 121.664975 \nL 68.528445 121.106376 \nL 71.233409 120.829831 \nL 73.94473 120.82202 \nL 76.620471 121.064011 \nL 79.223901 121.532805 \nL 81.724128 122.202841 \nL 84.096339 123.047414 \nL 86.321679 124.039873 \nL 88.386888 125.154564 \nL 90.283718 126.367504 \nL 92.008263 127.656843 \nL 93.56022 129.003098 \nL 94.942156 130.389231 \nL 96.158818 131.800584 \nL 97.216513 133.224742 \nL 98.122547 134.651323 \nL 98.884775 136.071758 \nL 100.00982 138.86756 \nL 100.653152 141.571015 \nL 100.868607 144.155901 \nL 100.699444 146.605509 \nL 100.177683 148.908528 \nL 99.324786 151.055969 \nL 98.153073 153.038871 \nL 96.667529 154.846481 \nL 94.867843 156.464734 \nL 92.750701 157.874851 \nL 90.312437 159.052012 \nL 87.552221 159.964126 \nL 84.475988 160.570809 \nL 81.10132 160.822834 \nL 77.463345 160.662563 \nL 75.563064 160.407952 \nL 73.621575 160.025965 \nL 71.651317 159.508347 \nL 69.667121 158.847209 \nL 67.686383 158.035362 \nL 65.729139 157.066753 \nL 63.81809 155.936957 \nL 61.978489 154.643724 \nL 60.237883 153.187588 \nL 58.625709 151.572478 \nL 57.172665 149.806318 \nL 55.909922 147.901554 \nL 54.868097 145.875524 \nL 54.076078 143.750666 \nL 53.559726 141.554433 \nL 53.340501 139.318904 \nL 53.434168 137.080025 \nL 53.849603 134.876512 \nL 54.587918 132.748448 \nL 55.641907 130.735633 \nL 56.995985 128.875818 \nL 58.626575 127.202995 \nL 60.502983 125.745836 \nL 62.588695 124.526525 \nL 64.842991 123.559953 \nL 67.222701 122.853436 \nL 69.684029 122.406921 \nL 72.184253 122.213622 \nL 74.683198 122.260974 \nL 77.144417 122.531831 \nL 79.536025 123.005724 \nL 81.831182 123.66013 \nL 84.008256 124.47161 \nL 86.050708 125.416787 \nL 87.946772 126.473112 \nL 89.688978 127.619445 \nL 91.273567 128.836422 \nL 92.699893 130.106663 \nL 93.969799 131.414843 \nL 95.087043 132.747658 \nL 96.05676 134.093714 \nL 96.885008 135.443376 \nL 98.143604 138.122632 \nL 98.916355 140.736237 \nL 99.253094 143.251038 \nL 99.195958 145.6447 \nL 98.777779 147.901518 \nL 98.022086 150.009175 \nL 96.944056 151.956269 \nL 95.552034 153.730354 \nL 93.849415 155.316338 \nL 91.836852 156.695096 \nL 89.51483 157.842223 \nL 86.886733 158.726937 \nL 83.962586 159.311289 \nL 80.763568 159.549894 \nL 77.327343 159.390606 \nL 75.538023 159.14411 \nL 73.714048 158.776738 \nL 71.867446 158.281432 \nL 70.012372 157.651572 \nL 68.165214 156.881299 \nL 66.344652 155.965891 \nL 64.571627 154.902184 \nL 62.869215 153.689057 \nL 61.262373 152.32794 \nL 59.77754 150.823309 \nL 58.442084 149.183186 \nL 57.283587 147.419535 \nL 56.328952 145.548547 \nL 55.603404 143.590776 \nL 55.12939 141.571001 \nL 54.92544 139.517875 \nL 55.005072 137.463271 \nL 55.375844 135.441329 \nL 56.038609 133.487289 \nL 56.987085 131.636117 \nL 58.207786 129.921046 \nL 59.680353 128.372159 \nL 61.378255 127.015101 \nL 63.269836 125.870059 \nL 65.319648 124.95108 \nL 67.489896 124.265789 \nL 69.741963 123.815464 \nL 72.03785 123.595523 \nL 74.341453 123.596244 \nL 76.619616 123.803716 \nL 78.842892 124.200876 \nL 80.986047 124.768538 \nL 83.028269 125.4864 \nL 84.953157 126.333874 \nL 86.74851 127.290819 \nL 88.405972 128.338058 \nL 89.920587 129.457769 \nL 91.290295 130.633723 \nL 92.515423 131.851395 \nL 93.598175 133.097983 \nL 94.542181 134.362346 \nL 96.033093 136.907491 \nL 97.031067 139.426292 \nL 97.580815 141.875885 \nL 97.723278 144.226187 \nL 97.492687 146.455645 \nL 96.915527 148.547774 \nL 96.010767 150.488403 \nL 94.790893 152.263545 \nL 93.263475 153.857648 \nL 91.433126 155.252158 \nL 89.303846 156.424281 \nL 86.88182 157.345979 \nL 84.17876 157.983255 \nL 81.215882 158.29594 \nL 78.028536 158.238299 \nL 74.671314 157.760964 \nL 72.952603 157.349369 \nL 71.223211 156.814697 \nL 69.497541 156.151841 \nL 67.791955 155.356643 \nL 66.124756 154.426237 \nL 64.516101 153.359449 \nL 62.987801 152.157211 \nL 61.563006 150.822978 \nL 60.265782 149.363138 \nL 59.120538 147.787363 \nL 58.151323 146.108877 \nL 57.381006 144.344588 \nL 56.830402 142.515061 \nL 56.517295 140.644295 \nL 56.455537 138.759241 \nL 56.654183 136.889147 \nL 57.1168 135.064639 \nL 57.84097 133.31666 \nL 58.818104 131.675286 \nL 60.033529 130.168531 \nL 61.466913 128.821223 \nL 63.092993 127.654018 \nL 64.882531 126.682668 \nL 66.803483 125.917588 \nL 68.822229 125.363723 \nL 70.904825 125.020734 \nL 73.018162 124.883451 \nL 75.130993 124.942512 \nL 77.214739 125.185189 \nL 79.244086 125.596219 \nL 81.197348 126.158679 \nL 83.056615 126.854769 \nL 84.807721 127.6665 \nL 86.440045 128.576261 \nL 87.946223 129.567263 \nL 89.32176 130.623841 \nL 90.564625 131.731652 \nL 91.67482 132.877773 \nL 93.504908 135.240437 \nL 94.837699 137.636269 \nL 95.708487 140.008899 \nL 96.154667 142.317147 \nL 96.21093 144.530949 \nL 95.906703 146.627709 \nL 95.265204 148.589274 \nL 94.303661 150.399464 \nL 93.034293 152.042121 \nL 91.465822 153.499501 \nL 89.605434 154.750978 \nL 87.461154 155.771983 \nL 85.044682 156.533254 \nL 82.374743 157.000482 \nL 79.480962 157.13463 \nL 76.408168 156.893208 \nL 73.220807 156.23299 \nL 71.61067 155.733204 \nL 70.006914 155.11459 \nL 68.42464 154.37395 \nL 66.880595 153.509303 \nL 65.393064 152.520215 \nL 63.981685 151.408163 \nL 62.667156 150.176856 \nL 61.470859 148.832576 \nL 60.414345 147.384454 \nL 59.518751 145.844666 \nL 58.8041 144.228531 \nL 58.288548 142.554448 \nL 57.987598 140.843707 \nL 57.913331 139.120076 \nL 58.073702 137.409234 \nL 58.471968 135.738022 \nL 59.106279 134.133559 \nL 59.969505 132.622287 \nL 61.049294 131.228978 \nL 62.328397 129.975766 \nL 63.785253 128.881371 \nL 65.394754 127.960443 \nL 67.129177 127.22314 \nL 68.959208 126.674997 \nL 70.854988 126.31699 \nL 72.78709 126.14587 \nL 74.727419 126.154655 \nL 76.649926 126.333235 \nL 78.531181 126.669097 \nL 80.350731 127.148005 \nL 82.091306 127.754679 \nL 83.738843 128.473401 \nL 85.282385 129.288544 \nL 86.713877 130.184961 \nL 88.027875 131.148316 \nL 90.292715 133.223679 \nL 92.072813 135.421997 \nL 93.384288 137.669386 \nL 94.254188 139.909011 \nL 94.713492 142.097994 \nL 94.792373 144.204034 \nL 94.517503 146.202165 \nL 93.91086 148.071985 \nL 92.989714 149.795342 \nL 91.767366 151.354465 \nL 90.2545 152.730443 \nL 88.461002 153.901994 \nL 86.398198 154.844557 \nL 84.081534 155.529698 \nL 81.533697 155.925006 \nL 78.788123 155.994644 \nL 77.355501 155.895556 \nL 77.355501 155.895556 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p0a62bd18b7\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.556634pt\" version=\"1.1\" viewBox=\"0 0 293.686304 285.556634\" width=\"293.686304pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:36:15.441717</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.556634 \nL 293.686304 285.556634 \nL 293.686304 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.578047 212.03611 \nL 127.75488 137.692794 \nL 127.066072 31.12639 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 64.26459 219.772135 \nL 150.165169 144.20658 \nL 150.437516 37.05037 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 88.359183 227.641429 \nL 172.929338 150.823225 \nL 174.194068 43.071963 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 112.87246 235.647465 \nL 196.055833 157.545184 \nL 198.345326 49.193603 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 137.815431 243.79384 \nL 219.553377 164.374992 \nL 222.90121 55.417804 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 163.199493 252.084274 \nL 243.430969 171.315266 \nL 247.871974 61.747165 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.337272 211.388652 \nL 39.056334 213.333808 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.50086 235.374498)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 65.01322 219.113576 \nL 62.764085 221.092109 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(49.393091 243.274494)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 89.096738 226.97148 \nL 86.880847 228.984256 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(77.703931 251.311099)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 113.598442 234.965828 \nL 111.417294 237.013745 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(102.245674 259.487888)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 138.529319 243.100206 \nL 136.384479 245.184192 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(124.038016 267.808559)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 163.900744 251.378325 \nL 161.793844 253.499341 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(149.454959 276.276946)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_8\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 32.782819 87.034514 \nL 37.676501 198.993897 \nL 186.194576 246.851596 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 47.410588 76.359834 \nL 51.604213 187.319412 \nL 198.813893 233.901073 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.643816 65.973073 \nL 65.172389 175.946298 \nL 211.090462 221.302293 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 75.498252 55.862736 \nL 78.394775 164.863032 \nL 223.03806 209.041119 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 88.98882 46.017935 \nL 91.284421 154.058675 \nL 234.669735 197.104158 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.129667 36.428343 \nL 103.853734 143.522828 \nL 245.997855 185.47872 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 184.94328 246.448385 \nL 188.700391 247.659057 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(188.470258 267.813661)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 197.574482 233.508885 \nL 201.295863 234.686445 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −5 -->\n     <g transform=\"translate(204.101535 254.671435)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 209.862756 220.920683 \nL 213.548949 222.06647 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(220.403059 241.886366)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.821881 208.669664 \nL 225.473423 209.784946 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 5 -->\n     <g transform=\"translate(232.190002 229.444089)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 233.464907 196.742458 \nL 237.08233 197.828439 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 10 -->\n     <g transform=\"translate(240.483844 217.331002)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_14\">\n     <path d=\"M 244.804203 185.126396 \nL 248.388033 186.184216 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 15 -->\n     <g transform=\"translate(251.6593 205.53421)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_15\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.057306 156.004408 \nL 114.960381 115.618273 \nL 26.355376 188.2209 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.842543 138.85684 \nL 114.769563 99.024251 \nL 25.509253 170.650597 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.63875 121.469726 \nL 114.576208 82.209577 \nL 24.650855 152.825403 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.446157 103.83801 \nL 114.380264 65.169823 \nL 23.779913 134.739729 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.265004 85.956495 \nL 114.18168 47.900437 \nL 22.89615 116.387825 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 261.095534 67.819834 \nL 113.980402 30.396747 \nL 21.999282 97.763768 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 255.864289 155.665334 \nL 259.4462 156.683368 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 5 -->\n     <g transform=\"translate(272.263115 161.035175)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 256.640939 138.522304 \nL 260.248652 139.526719 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 10 -->\n     <g transform=\"translate(269.991865 143.922019)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 257.428434 121.139889 \nL 261.062324 122.130202 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 15 -->\n     <g transform=\"translate(270.914539 126.570529)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 258.227002 103.513037 \nL 261.887451 104.488752 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 20 -->\n     <g transform=\"translate(271.850152 108.975693)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_18\">\n    <g id=\"line2d_21\">\n     <path d=\"M 259.03688 85.636558 \nL 262.724278 86.597159 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- 25 -->\n     <g transform=\"translate(272.79898 91.132353)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_19\">\n    <g id=\"line2d_22\">\n     <path d=\"M 259.858309 67.505109 \nL 263.573056 68.450065 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_19\">\n     <!-- 30 -->\n     <g transform=\"translate(273.761304 73.035209)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_23\">\n    <path clip-path=\"url(#p9c733fd5d2)\" d=\"M 129.591127 193.835773 \nL 128.98118 192.681085 \nL 128.941783 192.297243 \nL 129.21091 191.739347 \nL 129.819045 191.323698 \nL 131.23042 190.7617 \nL 146.049714 185.800389 \nL 152.764853 183.168216 \nL 158.310835 180.790434 \nL 164.85315 177.74246 \nL 172.498151 173.835823 \nL 176.757039 171.491503 \nL 181.310329 168.845922 \nL 186.15209 165.867427 \nL 191.266767 162.524854 \nL 196.626311 158.789437 \nL 202.186849 154.637442 \nL 207.88498 150.053727 \nL 213.633845 145.036245 \nL 219.319371 139.601526 \nL 224.797173 133.790927 \nL 229.890926 127.67712 \nL 234.393337 121.369909 \nL 238.070993 115.019988 \nL 240.674433 108.818676 \nL 241.954649 102.991493 \nL 241.686191 97.783653 \nL 239.695637 93.436838 \nL 235.891885 90.158779 \nL 230.292446 88.090517 \nL 223.03846 87.278952 \nL 214.392084 87.663363 \nL 204.713517 89.081932 \nL 194.42087 91.298548 \nL 183.941632 94.0431 \nL 173.666896 97.053956 \nL 163.917761 100.111559 \nL 146.844716 105.794291 \nL 133.603474 110.52292 \nL 128.411726 112.53954 \nL 124.0901 114.371266 \nL 120.552459 116.060004 \nL 117.705329 117.645181 \nL 115.454631 119.160561 \nL 113.71015 120.632966 \nL 112.388264 122.082278 \nL 111.41343 123.522144 \nL 110.71879 124.960987 \nL 110.246181 126.403093 \nL 109.945757 127.849686 \nL 109.699851 130.75108 \nL 109.778127 135.078344 \nL 109.970754 140.659466 \nL 109.869751 144.614952 \nL 109.624938 147.121 \nL 109.219727 149.516705 \nL 108.64321 151.800616 \nL 107.885129 153.972843 \nL 106.933904 156.033987 \nL 105.775494 157.984214 \nL 104.392773 159.8224 \nL 102.765289 161.545258 \nL 100.86931 163.146378 \nL 98.678183 164.615093 \nL 96.163092 165.935078 \nL 93.294362 167.082629 \nL 90.043604 168.024612 \nL 86.386982 168.716084 \nL 82.310107 169.097756 \nL 77.814991 169.093689 \nL 75.417997 168.918354 \nL 72.929579 168.609967 \nL 70.359288 168.154125 \nL 67.719969 167.53563 \nL 65.028236 166.738787 \nL 62.304957 165.747827 \nL 59.575688 164.5475 \nL 56.871008 163.123827 \nL 54.226718 161.465024 \nL 51.68381 159.562636 \nL 49.288139 157.412804 \nL 47.089729 155.017647 \nL 45.141635 152.386651 \nL 43.498296 149.537963 \nL 42.213406 146.4994 \nL 41.33735 143.309001 \nL 40.914277 140.014941 \nL 40.9791 136.674632 \nL 41.554608 133.3529 \nL 42.649079 130.119317 \nL 44.254633 127.044735 \nL 46.346677 124.197368 \nL 48.884503 121.638824 \nL 51.813137 119.420463 \nL 55.066221 117.580569 \nL 58.569667 116.142608 \nL 62.245701 115.114797 \nL 66.016855 114.490873 \nL 69.809577 114.251923 \nL 73.557147 114.368938 \nL 77.201756 114.805728 \nL 80.695728 115.521859 \nL 84.001915 116.475322 \nL 87.093428 117.624722 \nL 89.952848 118.930992 \nL 92.571111 120.358498 \nL 94.9462 121.875695 \nL 97.081784 123.455389 \nL 98.985909 125.074668 \nL 100.669781 126.714655 \nL 102.146715 128.360117 \nL 103.43123 129.999024 \nL 104.538328 131.622077 \nL 105.482923 133.222273 \nL 106.941352 136.335115 \nL 107.910651 139.312934 \nL 108.477136 142.146436 \nL 108.708092 144.835139 \nL 108.652948 147.3831 \nL 108.345489 149.796229 \nL 107.806351 152.080669 \nL 107.045309 154.241804 \nL 106.063219 156.283608 \nL 104.853562 158.20813 \nL 103.403659 160.014967 \nL 101.695652 161.700631 \nL 99.707413 163.257724 \nL 97.413526 164.673859 \nL 94.78655 165.930271 \nL 91.798822 167.000084 \nL 88.42512 167.846233 \nL 84.646546 168.419144 \nL 80.456154 168.6544 \nL 78.209482 168.620749 \nL 75.866708 168.470927 \nL 73.434197 168.192124 \nL 70.920974 167.770584 \nL 68.339171 167.191779 \nL 65.704491 166.440686 \nL 63.036661 165.502184 \nL 60.359848 164.361589 \nL 57.70299 163.005352 \nL 55.099996 161.421924 \nL 52.589744 159.602796 \nL 50.215816 157.543688 \nL 48.02588 155.245839 \nL 46.070665 152.717329 \nL 44.402489 149.974307 \nL 43.073309 147.042005 \nL 42.132331 143.955335 \nL 41.623334 140.758903 \nL 41.581787 137.506326 \nL 42.032108 134.258655 \nL 42.985276 131.082017 \nL 44.437115 128.044471 \nL 46.367536 125.212388 \nL 48.740864 122.646685 \nL 51.507309 120.399286 \nL 54.605478 118.51024 \nL 57.965705 117.005833 \nL 61.513777 115.897836 \nL 65.174788 115.183961 \nL 68.876645 114.849333 \nL 72.553058 114.86874 \nL 76.14572 115.209307 \nL 79.605716 115.83328 \nL 82.894118 116.700647 \nL 85.98191 117.771349 \nL 88.849396 119.007033 \nL 91.485216 120.372289 \nL 93.885166 121.835424 \nL 96.05091 123.368794 \nL 97.98872 124.948875 \nL 99.708284 126.556078 \nL 101.221654 128.174415 \nL 102.542335 129.791112 \nL 103.684535 131.396164 \nL 104.662573 132.98192 \nL 106.18136 136.074312 \nL 107.20098 139.039802 \nL 107.807372 141.866253 \nL 108.068297 144.551129 \nL 108.034063 147.097034 \nL 107.739474 149.508837 \nL 107.20616 151.79191 \nL 106.444808 153.95101 \nL 105.457083 155.989561 \nL 104.237201 157.909071 \nL 102.773188 159.708562 \nL 101.047922 161.383896 \nL 99.040123 162.926928 \nL 96.725428 164.324411 \nL 94.077771 165.55659 \nL 91.071327 166.595503 \nL 87.683338 167.40295 \nL 83.898172 167.928287 \nL 79.713122 168.106322 \nL 77.47522 168.040359 \nL 75.146289 167.855829 \nL 72.733533 167.540097 \nL 70.246861 167.079692 \nL 67.699332 166.46052 \nL 65.10757 165.668169 \nL 62.492202 164.688331 \nL 59.8782 163.50737 \nL 57.295167 162.113041 \nL 54.777436 160.495364 \nL 52.364004 158.647652 \nL 50.09814 156.567678 \nL 48.026693 154.258889 \nL 46.198966 151.73164 \nL 44.665172 149.004279 \nL 43.474472 146.103979 \nL 42.672617 143.067138 \nL 42.29935 139.939192 \nL 42.385731 136.773707 \nL 42.951618 133.630699 \nL 44.003591 130.574163 \nL 45.533576 127.669019 \nL 47.518395 124.977617 \nL 49.92036 122.556251 \nL 52.68893 120.451972 \nL 55.763259 118.700108 \nL 59.07543 117.322718 \nL 62.554031 116.328177 \nL 66.127705 115.711792 \nL 69.728377 115.457372 \nL 73.293901 115.5394 \nL 76.76999 115.925604 \nL 80.11139 116.57953 \nL 83.282324 117.462916 \nL 86.256349 118.537721 \nL 89.015728 119.767691 \nL 91.550483 121.119452 \nL 93.85725 122.563157 \nL 95.938086 124.07281 \nL 97.799283 125.626274 \nL 99.45026 127.205084 \nL 100.902587 128.79416 \nL 102.16914 130.38141 \nL 103.263419 131.957344 \nL 104.198983 133.514665 \nL 105.646142 136.553071 \nL 106.607149 139.469028 \nL 107.162941 142.250333 \nL 107.377185 144.893907 \nL 107.296958 147.401571 \nL 106.954578 149.777307 \nL 106.369768 152.025543 \nL 105.551763 154.150054 \nL 104.501123 156.153202 \nL 103.211247 158.035292 \nL 101.669624 159.793961 \nL 99.85891 161.423416 \nL 97.758018 162.913511 \nL 95.343353 164.248564 \nL 92.590437 165.405898 \nL 89.476198 166.354068 \nL 85.982226 167.050894 \nL 82.099422 167.441399 \nL 77.834392 167.456066 \nL 75.566956 167.296552 \nL 73.217985 167.010132 \nL 70.796879 166.584047 \nL 68.315988 166.004958 \nL 65.791029 165.259203 \nL 63.241464 164.333215 \nL 60.69084 163.214032 \nL 58.16705 161.889946 \nL 55.702463 160.351325 \nL 53.333837 158.591551 \nL 51.102025 156.60809 \nL 49.051321 154.403621 \nL 47.228493 151.987185 \nL 45.681368 149.375213 \nL 44.45706 146.592345 \nL 43.599821 143.671841 \nL 43.148646 140.655529 \nL 43.134786 137.593054 \nL 43.57934 134.540452 \nL 44.491243 131.557979 \nL 45.865839 128.707375 \nL 47.684268 126.04868 \nL 49.91379 123.63696 \nL 52.509106 121.519281 \nL 55.414564 119.732193 \nL 58.567027 118.300111 \nL 61.899134 117.234605 \nL 65.342656 116.534741 \nL 68.831608 116.18829 \nL 72.304893 116.17363 \nL 75.708305 116.462005 \nL 78.995854 117.019963 \nL 82.130392 117.811614 \nL 85.083656 118.800656 \nL 87.835817 119.951957 \nL 90.374695 121.232723 \nL 92.694749 122.613275 \nL 94.795973 124.067448 \nL 96.682772 125.572688 \nL 98.362899 127.109978 \nL 99.846491 128.663591 \nL 101.145233 130.220763 \nL 102.271649 131.771327 \nL 103.238536 133.307345 \nL 104.743708 136.313051 \nL 105.754336 139.206201 \nL 106.350147 141.971429 \nL 106.594695 144.60328 \nL 106.53556 147.101802 \nL 106.205854 149.469656 \nL 105.626204 151.710245 \nL 104.80675 153.826494 \nL 103.748938 155.81999 \nL 102.447045 157.690298 \nL 100.88947 159.434261 \nL 99.059898 161.04523 \nL 96.938472 162.512103 \nL 94.503153 163.818124 \nL 91.731491 164.939451 \nL 88.603071 165.843442 \nL 85.102959 166.486776 \nL 81.226524 166.813621 \nL 76.98598 166.754232 \nL 74.739643 166.554005 \nL 72.418904 166.224735 \nL 70.03414 165.754075 \nL 67.598695 165.129259 \nL 65.129263 164.33741 \nL 62.646213 163.365977 \nL 60.173879 162.203255 \nL 57.740741 160.839081 \nL 55.379464 159.265635 \nL 53.126724 157.478365 \nL 51.022789 155.477012 \nL 49.110804 153.266659 \nL 47.435702 150.858758 \nL 46.042766 148.27201 \nL 44.975823 145.532977 \nL 44.275178 142.676304 \nL 43.975316 139.744431 \nL 44.102629 136.786655 \nL 44.673294 133.85759 \nL 45.691574 131.014951 \nL 47.148738 128.316849 \nL 49.022764 125.818841 \nL 51.278948 123.570937 \nL 53.871367 121.61492 \nL 56.74512 119.982284 \nL 59.839107 118.692919 \nL 63.089098 117.754774 \nL 66.430794 117.164361 \nL 69.80261 116.908043 \nL 73.147996 116.963869 \nL 76.417157 117.303729 \nL 79.568135 117.895538 \nL 82.567274 118.705304 \nL 85.389176 119.698916 \nL 88.016221 120.843527 \nL 90.437796 122.108587 \nL 92.649348 123.466483 \nL 94.65135 124.89288 \nL 96.448276 126.366802 \nL 98.047615 127.870525 \nL 99.458999 129.389371 \nL 100.693438 130.911379 \nL 101.762673 132.426992 \nL 103.453193 135.41076 \nL 104.622286 138.299688 \nL 105.350995 141.071697 \nL 105.705875 143.716718 \nL 105.738181 146.23172 \nL 105.484775 148.617342 \nL 104.969799 150.875695 \nL 104.20655 153.008871 \nL 103.19927 155.017936 \nL 101.944731 156.902131 \nL 100.433605 158.658131 \nL 98.651712 160.279252 \nL 96.581275 161.75451 \nL 94.20233 163.067492 \nL 91.494524 164.19497 \nL 88.439545 165.105323 \nL 85.02448 165.756815 \nL 81.246449 166.095923 \nL 77.118823 166.056156 \nL 74.934475 165.869813 \nL 72.67926 165.557988 \nL 70.363281 165.109056 \nL 67.999446 164.51103 \nL 65.603799 163.751873 \nL 63.195841 162.819872 \nL 60.798779 161.704167 \nL 58.439679 160.395359 \nL 56.149503 158.886274 \nL 53.962937 157.172798 \nL 51.917999 155.254829 \nL 50.055369 153.137221 \nL 48.417407 150.830738 \nL 47.04681 148.352838 \nL 45.985001 145.728258 \nL 45.270196 142.989216 \nL 44.935334 140.175174 \nL 45.005976 137.332024 \nL 45.498352 134.51071 \nL 46.417744 131.76525 \nL 47.757436 129.150319 \nL 49.49836 126.718576 \nL 51.60954 124.517895 \nL 54.049325 122.588888 \nL 56.767331 120.962906 \nL 59.706939 119.660742 \nL 62.808062 118.692132 \nL 66.009972 118.056084 \nL 69.253929 117.741898 \nL 72.485413 117.730771 \nL 75.655824 117.99769 \nL 78.723637 118.513434 \nL 81.654962 119.246504 \nL 84.42363 120.164839 \nL 87.010846 121.237167 \nL 89.404565 122.434066 \nL 91.598655 123.728649 \nL 93.591966 125.096956 \nL 95.387382 126.518123 \nL 96.990898 127.97433 \nL 98.410777 129.450647 \nL 99.656811 130.934766 \nL 100.739692 132.416731 \nL 102.460222 135.344223 \nL 103.658676 138.188761 \nL 104.412673 140.925252 \nL 104.786824 143.541077 \nL 104.831484 146.03113 \nL 104.583285 148.394389 \nL 104.06656 150.631575 \nL 103.295041 152.743601 \nL 102.273581 154.730452 \nL 100.999694 156.590323 \nL 99.464963 158.318807 \nL 97.656346 159.908062 \nL 95.557523 161.34585 \nL 93.15045 162.614369 \nL 90.417314 163.688925 \nL 87.343158 164.536411 \nL 83.919455 165.113738 \nL 80.148932 165.366441 \nL 76.051916 165.227923 \nL 73.894073 164.987926 \nL 71.674323 164.620038 \nL 69.403944 164.113177 \nL 67.097017 163.456115 \nL 64.770735 162.637808 \nL 62.445645 161.647818 \nL 60.145822 160.476862 \nL 57.898953 159.117422 \nL 55.736249 157.564512 \nL 53.692178 155.816488 \nL 51.803951 153.875913 \nL 50.110758 151.750439 \nL 48.652689 149.45358 \nL 47.469353 147.00534 \nL 46.598269 144.432572 \nL 46.073006 141.76894 \nL 45.921284 139.05447 \nL 46.163089 136.334527 \nL 46.809038 133.658322 \nL 47.859113 131.0769 \nL 49.302001 128.640835 \nL 51.115059 126.397705 \nL 53.265045 124.389714 \nL 55.70951 122.651587 \nL 58.398795 121.208989 \nL 61.278414 120.07763 \nL 64.291621 119.263089 \nL 67.381937 118.761352 \nL 70.495432 118.559926 \nL 73.582612 118.639395 \nL 76.599822 118.975174 \nL 79.510118 119.539329 \nL 82.283657 120.302254 \nL 84.897664 121.234159 \nL 87.336043 122.306225 \nL 89.588744 123.491466 \nL 91.650991 124.765313 \nL 93.522409 126.105908 \nL 95.206175 127.494221 \nL 96.708182 128.913992 \nL 98.036294 130.351563 \nL 99.199676 131.795666 \nL 100.208243 133.237135 \nL 101.801676 136.084414 \nL 102.895741 138.851985 \nL 103.561233 141.515874 \nL 103.856818 144.063458 \nL 103.827965 146.488978 \nL 103.507452 148.790372 \nL 102.916672 150.967105 \nL 102.067202 153.01867 \nL 100.962398 154.943472 \nL 99.598883 156.737924 \nL 97.967941 158.39559 \nL 96.056898 159.906281 \nL 93.850613 161.255029 \nL 91.333257 162.420881 \nL 88.490604 163.375582 \nL 85.313073 164.082132 \nL 81.799796 164.493478 \nL 77.963965 164.551579 \nL 73.839641 164.187467 \nL 71.687629 163.822948 \nL 69.489898 163.323125 \nL 67.260338 162.677615 \nL 65.015751 161.876304 \nL 62.77607 160.909746 \nL 60.564502 159.769664 \nL 58.407568 158.449554 \nL 56.334987 156.945367 \nL 54.37942 155.256252 \nL 52.575942 153.385349 \nL 50.961321 151.340564 \nL 49.572994 149.135252 \nL 48.447804 146.788763 \nL 47.620505 144.326702 \nL 47.122085 141.780901 \nL 46.978029 139.188935 \nL 47.206644 136.593208 \nL 47.817576 134.039536 \nL 48.8107 131.575377 \nL 50.175525 129.247717 \nL 51.891166 127.100838 \nL 53.926984 125.17415 \nL 56.243834 123.500298 \nL 58.795853 122.103728 \nL 61.532568 120.999827 \nL 64.401235 120.194737 \nL 67.349118 119.685764 \nL 70.325574 119.462337 \nL 73.283823 119.507352 \nL 76.182259 119.798739 \nL 78.98533 120.311075 \nL 81.663953 121.017149 \nL 84.195548 121.889292 \nL 86.563741 122.900506 \nL 88.757844 124.025294 \nL 90.772173 125.240215 \nL 92.605272 126.524256 \nL 94.259145 127.858943 \nL 95.738483 129.228352 \nL 97.049971 130.618976 \nL 98.201658 132.019537 \nL 99.202433 133.42077 \nL 100.788379 136.196751 \nL 101.880832 138.903616 \nL 102.546116 141.515266 \nL 102.839848 144.017014 \nL 102.805565 146.401208 \nL 102.47496 148.664105 \nL 101.868947 150.803666 \nL 100.999086 152.817995 \nL 99.869076 154.704159 \nL 98.476219 156.457239 \nL 96.812835 158.069405 \nL 94.867715 159.528994 \nL 92.627725 160.819453 \nL 90.079753 161.918188 \nL 87.213181 162.795284 \nL 84.023141 163.412264 \nL 80.514769 163.72102 \nL 76.708697 163.66334 \nL 74.70634 163.476266 \nL 72.647783 163.171604 \nL 70.543142 162.739876 \nL 68.404911 162.171516 \nL 66.248221 161.457144 \nL 64.091018 160.587926 \nL 61.954229 159.555999 \nL 59.861807 158.354984 \nL 57.840672 156.980592 \nL 55.920492 155.43127 \nL 54.133313 153.708916 \nL 52.51292 151.819561 \nL 51.094026 149.774012 \nL 49.911187 147.588403 \nL 48.99753 145.284497 \nL 48.383283 142.889768 \nL 48.094241 140.437102 \nL 48.150216 137.964135 \nL 48.563619 135.512153 \nL 49.338332 133.124641 \nL 50.46894 130.845488 \nL 51.940489 128.717041 \nL 53.728788 126.778117 \nL 55.801278 125.062177 \nL 58.118391 123.595829 \nL 60.635341 122.397796 \nL 63.304126 121.47844 \nL 66.075601 120.839825 \nL 68.901487 120.476344 \nL 71.736127 120.3757 \nL 74.537895 120.520222 \nL 77.270239 120.888289 \nL 79.902294 121.455754 \nL 82.409137 122.197276 \nL 84.771696 123.087444 \nL 86.976417 124.101692 \nL 89.014743 125.216974 \nL 90.882468 126.412205 \nL 92.579039 127.668519 \nL 94.106863 128.96936 \nL 95.470625 130.300435 \nL 96.676684 131.649623 \nL 97.73253 133.006768 \nL 99.426484 135.71297 \nL 100.619376 138.369378 \nL 101.374446 140.944571 \nL 101.746368 143.419617 \nL 101.779109 145.783629 \nL 101.505601 148.030416 \nL 100.948436 150.156096 \nL 100.121062 152.157374 \nL 99.029166 154.030243 \nL 97.672103 155.768932 \nL 96.044327 157.364956 \nL 94.136883 158.806166 \nL 91.939074 160.075722 \nL 89.440445 161.151004 \nL 86.633276 162.002452 \nL 83.515822 162.592471 \nL 80.096466 162.874576 \nL 76.398955 162.793207 \nL 72.468741 162.284685 \nL 70.438257 161.8488 \nL 68.380102 161.280188 \nL 66.309244 160.570414 \nL 64.243267 159.711661 \nL 62.202487 158.697162 \nL 60.209964 157.521661 \nL 58.291417 156.181979 \nL 56.474983 154.677607 \nL 54.790801 153.011327 \nL 53.270438 151.189828 \nL 51.946071 149.224254 \nL 50.849499 147.130635 \nL 50.01095 144.930136 \nL 49.457755 142.649044 \nL 49.212977 140.318455 \nL 49.29403 137.973621 \nL 49.711464 135.652919 \nL 50.467969 133.396522 \nL 51.557761 131.244786 \nL 52.966408 129.236501 \nL 54.671132 127.40715 \nL 56.641611 125.787318 \nL 58.841224 124.40135 \nL 61.228626 123.266479 \nL 63.759553 122.392396 \nL 66.388664 121.781306 \nL 69.071328 121.428453 \nL 71.765199 121.323004 \nL 74.431498 121.449168 \nL 77.035968 121.787461 \nL 79.549454 122.315976 \nL 81.948165 123.011551 \nL 84.213637 123.850822 \nL 86.33246 124.811036 \nL 88.295828 125.870692 \nL 90.098994 127.009983 \nL 91.740646 128.211042 \nL 93.222282 129.458056 \nL 94.547606 130.737267 \nL 95.721964 132.036894 \nL 97.644451 134.659179 \nL 99.048096 137.263886 \nL 99.992673 139.81032 \nL 100.532808 142.272456 \nL 100.714507 144.634179 \nL 100.57385 146.885593 \nL 100.137043 149.020284 \nL 99.421237 151.033284 \nL 98.435709 152.919589 \nL 97.183204 154.672959 \nL 95.661343 156.284891 \nL 93.864114 157.743659 \nL 91.783506 159.033337 \nL 89.411445 160.132767 \nL 86.742153 161.014515 \nL 83.775161 161.643892 \nL 80.519107 161.978216 \nL 76.99649 161.966655 \nL 73.249347 161.551118 \nL 71.311623 161.172309 \nL 69.345633 160.668852 \nL 67.364969 160.033024 \nL 65.385589 159.257635 \nL 63.425904 158.33639 \nL 61.506818 157.264303 \nL 59.651649 156.038178 \nL 57.885958 154.657133 \nL 56.237196 153.123152 \nL 54.734235 151.441613 \nL 53.406679 149.621806 \nL 52.284024 147.677334 \nL 51.394645 145.626377 \nL 50.76465 143.491746 \nL 50.416652 141.300691 \nL 50.368563 139.084413 \nL 50.632439 136.877258 \nL 51.213528 134.71564 \nL 52.109583 132.636674 \nL 53.310567 130.676712 \nL 54.798733 128.869751 \nL 56.549157 127.245968 \nL 58.53069 125.830449 \nL 60.707218 124.642206 \nL 63.039182 123.693607 \nL 65.485206 122.990233 \nL 68.003729 122.53113 \nL 70.554498 122.309416 \nL 73.099863 122.313165 \nL 75.605788 122.526487 \nL 78.042552 122.930603 \nL 80.385157 123.504973 \nL 82.613447 124.228274 \nL 84.711997 125.079256 \nL 86.66981 126.037399 \nL 88.47989 127.083433 \nL 90.138722 128.199664 \nL 91.645726 129.370166 \nL 93.002697 130.580846 \nL 94.213284 131.819437 \nL 96.216295 134.339777 \nL 97.70394 136.86513 \nL 98.730023 139.349859 \nL 99.345779 141.763575 \nL 99.595745 144.08653 \nL 99.515861 146.305913 \nL 99.133068 148.413022 \nL 98.465803 150.40111 \nL 97.524976 152.263785 \nL 96.315202 153.993728 \nL 94.836159 155.581625 \nL 93.084075 157.015175 \nL 91.053378 158.278136 \nL 88.738642 159.349352 \nL 86.136957 160.201801 \nL 83.250869 160.801765 \nL 80.092063 161.108303 \nL 76.685864 161.07329 \nL 73.076507 160.642559 \nL 71.216051 160.260854 \nL 69.332881 159.75867 \nL 67.440375 159.129163 \nL 65.554078 158.366095 \nL 63.691767 157.464165 \nL 61.873446 156.419409 \nL 60.121256 155.229623 \nL 58.459268 153.89484 \nL 56.913154 152.417806 \nL 55.509684 150.804456 \nL 54.276112 149.064335 \nL 53.239381 147.210914 \nL 52.425196 145.261803 \nL 51.857001 143.238733 \nL 51.554883 141.167341 \nL 51.534509 139.076685 \nL 51.806143 136.998509 \nL 52.373821 134.966244 \nL 53.234802 133.013803 \nL 54.379319 131.174266 \nL 55.790703 129.478505 \nL 57.445878 127.953922 \nL 59.31619 126.6233 \nL 61.368553 125.504001 \nL 63.566778 124.60746 \nL 65.873 123.939028 \nL 68.249123 123.498203 \nL 70.658151 123.279149 \nL 73.065327 123.27146 \nL 75.439054 123.461062 \nL 77.751546 123.831184 \nL 79.979213 124.363329 \nL 82.102804 125.038154 \nL 84.107338 125.836222 \nL 85.981862 126.738644 \nL 87.719091 127.727537 \nL 89.314976 128.786347 \nL 90.768208 129.900042 \nL 92.07974 131.055214 \nL 94.289994 133.444436 \nL 95.981455 135.877881 \nL 97.199992 138.300641 \nL 97.99319 140.674541 \nL 98.404945 142.973674 \nL 98.472494 145.180583 \nL 98.225199 147.283188 \nL 97.68449 149.272395 \nL 96.864486 151.140288 \nL 95.773012 152.878692 \nL 94.412842 154.477999 \nL 92.783111 155.926167 \nL 90.8809 157.207741 \nL 88.703088 158.302938 \nL 86.248571 159.186782 \nL 83.520978 159.828356 \nL 80.532023 160.190323 \nL 77.305531 160.229002 \nL 73.882135 159.895339 \nL 70.324406 159.137337 \nL 68.52194 158.583196 \nL 66.721747 157.904499 \nL 64.939816 157.096321 \nL 63.194139 156.154874 \nL 61.504641 155.077877 \nL 59.893029 153.864957 \nL 58.382515 152.518078 \nL 56.997427 151.041948 \nL 55.762677 149.444411 \nL 54.70312 147.736748 \nL 53.842744 145.933884 \nL 53.20382 144.054444 \nL 52.805948 142.120619 \nL 52.6651 140.157844 \nL 52.792719 138.194197 \nL 53.194944 136.259641 \nL 53.872021 134.385032 \nL 54.81795 132.601003 \nL 56.020468 130.936769 \nL 57.461308 129.418973 \nL 59.116806 128.070625 \nL 60.958767 126.910258 \nL 62.955549 125.951312 \nL 65.073293 125.201869 \nL 67.277187 124.66463 \nL 69.532698 124.337255 \nL 71.806673 124.212888 \nL 74.068289 124.280871 \nL 76.289766 124.527563 \nL 78.446857 124.937196 \nL 80.519128 125.4927 \nL 82.490014 126.176425 \nL 84.346711 126.97079 \nL 86.079949 127.858783 \nL 87.683642 128.824354 \nL 89.154498 129.852646 \nL 90.491588 130.930177 \nL 92.770046 133.186183 \nL 94.543181 135.512737 \nL 95.848431 137.850526 \nL 96.727815 140.15694 \nL 97.222027 142.402076 \nL 97.366902 144.565089 \nL 97.191692 146.63115 \nL 96.718593 148.589016 \nL 95.963068 150.429101 \nL 94.934674 152.142003 \nL 93.638171 153.717261 \nL 92.074868 155.14232 \nL 90.244168 156.401574 \nL 88.145371 157.475495 \nL 85.779838 158.339838 \nL 83.153599 158.965014 \nL 80.280516 159.315749 \nL 77.186033 159.351292 \nL 73.911465 159.026502 \nL 70.518536 158.294287 \nL 68.803623 157.761151 \nL 67.093634 157.109872 \nL 65.403715 156.336291 \nL 63.750795 155.437348 \nL 62.153511 154.411417 \nL 60.632034 153.258665 \nL 59.20782 151.981414 \nL 57.903246 150.584506 \nL 56.741115 149.075617 \nL 55.744074 147.465525 \nL 54.933906 145.768249 \nL 54.330761 144.001103 \nL 53.952323 142.184542 \nL 53.812979 140.341869 \nL 53.923027 138.498713 \nL 54.288021 136.682333 \nL 54.908225 134.92077 \nL 55.778347 133.241869 \nL 56.887487 131.672263 \nL 58.219366 130.236338 \nL 59.75284 128.955314 \nL 61.462632 127.846504 \nL 63.320271 126.922753 \nL 65.295148 126.192151 \nL 67.355621 125.658028 \nL 69.470104 125.319146 \nL 71.608056 125.170155 \nL 73.740835 125.202181 \nL 75.842373 125.403525 \nL 77.889659 125.760388 \nL 79.863013 126.257598 \nL 81.746202 126.879277 \nL 83.526387 127.609413 \nL 85.193946 128.432338 \nL 86.742206 129.333111 \nL 88.167115 130.297761 \nL 90.64156 132.368694 \nL 92.623211 134.557575 \nL 94.136906 136.796288 \nL 95.217015 139.033903 \nL 95.900505 141.233377 \nL 96.22231 143.368123 \nL 96.212673 145.418913 \nL 95.895924 147.371305 \nL 95.29028 149.213541 \nL 94.408291 150.9349 \nL 93.257725 152.524343 \nL 91.84273 153.969407 \nL 90.165243 155.255232 \nL 88.226651 156.363684 \nL 86.02976 157.272612 \nL 83.581152 157.955248 \nL 80.894014 158.379863 \nL 77.99145 158.509916 \nL 74.910254 158.304924 \nL 71.704935 157.722455 \nL 68.451521 156.721648 \nL 66.837163 156.053323 \nL 65.250419 155.268655 \nL 63.707773 154.365733 \nL 62.227146 153.344138 \nL 60.827698 152.20524 \nL 59.529553 150.952526 \nL 58.353402 149.591885 \nL 57.32004 148.131855 \nL 56.449798 146.583818 \nL 55.761886 144.962064 \nL 55.273679 143.283757 \nL 55.000007 141.568742 \nL 54.952428 139.839179 \nL 55.138583 138.119037 \nL 55.561664 136.433441 \nL 56.220032 134.807865 \nL 57.107052 133.267263 \nL 58.211137 131.835187 \nL 59.516034 130.532923 \nL 61.00134 129.378717 \nL 62.643192 128.387202 \nL 64.415128 127.568959 \nL 66.289015 126.930342 \nL 68.236025 126.473499 \nL 70.227562 126.196619 \nL 72.236102 126.094326 \nL 74.235916 126.158221 \nL 76.203628 126.377483 \nL 78.11861 126.739501 \nL 79.963206 127.230494 \nL 81.722825 127.836092 \nL 83.385869 128.541807 \nL 84.943592 129.333466 \nL 87.720832 131.121266 \nL 90.031342 133.102087 \nL 91.878765 135.195362 \nL 93.283819 137.337619 \nL 94.276063 139.480615 \nL 94.887745 141.588528 \nL 95.149652 143.634981 \nL 95.088675 145.600304 \nL 94.726675 147.469178 \nL 94.080269 149.228748 \nL 93.161245 150.86704 \nL 91.977406 152.37171 \nL 90.533718 153.728973 \nL 88.833717 154.922694 \nL 86.881206 155.9336 \nL 84.682264 156.738641 \nL 82.247638 157.310574 \nL 79.595545 157.617874 \nL 76.754886 157.625222 \nL 73.768755 157.294792 \nL 70.697934 156.588714 \nL 67.623894 155.473043 \nL 66.117229 154.753443 \nL 64.650431 153.92346 \nL 63.239838 152.982768 \nL 61.902894 151.932639 \nL 60.657897 150.776206 \nL 59.523691 149.518724 \nL 58.519226 148.167781 \nL 57.663085 146.733467 \nL 56.97293 145.228445 \nL 56.464875 143.667927 \nL 56.152868 142.06953 \nL 56.048046 140.452989 \nL 56.158183 138.839728 \nL 56.487177 137.252328 \nL 57.034695 135.713844 \nL 57.795994 134.247084 \nL 58.76188 132.873822 \nL 59.918926 131.614053 \nL 61.249835 130.485294 \nL 62.734009 129.502035 \nL 64.348242 128.675294 \nL 66.067515 128.012394 \nL 67.865828 127.516913 \nL 69.717038 127.188826 \nL 71.595618 127.024773 \nL 73.477343 127.018473 \nL 75.339841 127.161245 \nL 77.163006 127.442521 \nL 78.929279 127.850398 \nL 80.623774 128.372156 \nL 82.234313 128.994729 \nL 85.167666 130.490576 \nL 87.680683 132.239543 \nL 89.755877 134.155336 \nL 91.398142 136.166518 \nL 92.626398 138.216469 \nL 93.466694 140.261639 \nL 93.947068 142.269098 \nL 94.094126 144.21397 \nL 93.931052 146.07705 \nL 93.476745 147.842774 \nL 92.745716 149.497506 \nL 91.748576 151.028167 \nL 90.492907 152.421059 \nL 88.984445 153.660916 \nL 87.228543 154.730079 \nL 85.231928 155.607854 \nL 83.004786 156.270035 \nL 80.56319 156.688744 \nL 77.931906 156.832712 \nL 75.147437 156.668195 \nL 72.261152 156.160848 \nL 69.342104 155.278787 \nL 66.478895 153.9971 \nL 65.101344 153.201966 \nL 63.779777 152.303836 \nL 62.530346 151.304408 \nL 61.369886 150.207102 \nL 60.315614 149.017274 \nL 59.384735 147.742392 \nL 58.594016 146.392149 \nL 57.95929 144.978512 \nL 57.494904 143.515694 \nL 57.213181 142.019987 \nL 57.123874 140.509503 \nL 57.233676 139.003788 \nL 57.5458 137.523338 \nL 58.059689 136.089013 \nL 58.770851 134.721408 \nL 59.670856 133.440177 \nL 60.747516 132.263375 \nL 61.985205 131.20688 \nL 63.365363 130.283893 \nL 64.867075 129.504581 \nL 66.467768 128.87586 \nL 68.143939 128.401328 \nL 69.871864 128.081385 \nL 71.628284 127.913453 \nL 73.390995 127.892313 \nL 75.139356 128.010537 \nL 76.854669 128.258936 \nL 78.520439 128.62703 \nL 80.12252 129.103493 \nL 83.090924 130.334509 \nL 85.693016 131.858949 \nL 87.894066 133.590707 \nL 89.68441 135.45525 \nL 91.07182 137.39116 \nL 92.07461 139.349628 \nL 92.716064 141.292723 \nL 93.020426 143.19121 \nL 93.010286 145.022339 \nL 92.705163 146.76785 \nL 92.120953 148.412222 \nL 91.27007 149.941198 \nL 90.162031 151.340612 \nL 88.80444 152.595355 \nL 87.204242 153.688554 \nL 85.369277 154.60092 \nL 83.31014 155.310262 \nL 81.042335 155.791304 \nL 78.588737 156.015864 \nL 75.982287 155.953602 \nL 73.268769 155.573539 \nL 70.509319 154.846598 \nL 67.782238 153.749346 \nL 65.183348 152.268971 \nL 63.966304 151.385489 \nL 62.824096 150.409324 \nL 61.772274 149.34461 \nL 60.826539 148.197279 \nL 60.002381 146.975196 \nL 59.314666 145.688229 \nL 58.777194 144.348239 \nL 58.402204 142.969009 \nL 58.199921 141.566065 \nL 58.178091 140.156402 \nL 58.341569 138.758094 \nL 58.692012 137.389871 \nL 59.227664 136.070565 \nL 59.943253 134.818561 \nL 60.830062 133.651214 \nL 61.876102 132.584317 \nL 63.066456 131.631591 \nL 64.383733 130.804305 \nL 65.808593 130.110989 \nL 67.320372 129.557286 \nL 68.897696 129.145931 \nL 70.519107 128.87686 \nL 72.163636 128.74742 \nL 73.811315 128.752682 \nL 75.443593 128.885799 \nL 77.04366 129.138406 \nL 80.089812 129.963424 \nL 82.855952 131.145144 \nL 85.280693 132.599448 \nL 87.331096 134.247985 \nL 88.996568 136.022316 \nL 90.282288 137.865364 \nL 91.203173 139.73109 \nL 91.77899 141.583074 \nL 92.030783 143.392689 \nL 91.978515 145.137156 \nL 91.639764 146.79776 \nL 91.029233 148.358283 \nL 90.158863 149.803667 \nL 89.038419 151.118915 \nL 87.676424 152.288159 \nL 86.0814 153.293916 \nL 84.2634 154.116551 \nL 82.235811 154.733929 \nL 80.017437 155.121392 \nL 77.634805 155.252148 \nL 75.124613 155.098263 \nL 72.536089 154.632413 \nL 69.932952 153.830602 \nL 67.394459 152.675938 \nL 65.014876 151.163428 \nL 63.917604 150.27601 \nL 62.900667 149.305412 \nL 61.97834 148.256758 \nL 61.164772 147.136861 \nL 60.473632 145.954289 \nL 59.91773 144.719381 \nL 59.508597 143.444196 \nL 59.256082 142.142361 \nL 59.167943 140.828887 \nL 59.249484 139.519853 \nL 59.503262 138.232024 \nL 59.928846 136.98244 \nL 60.522719 135.787933 \nL 61.278266 134.664611 \nL 62.185892 133.627398 \nL 63.233264 132.689585 \nL 64.405652 131.862443 \nL 65.686363 131.154936 \nL 67.057249 130.57353 \nL 68.499237 130.122132 \nL 69.992879 129.802113 \nL 71.518873 129.612445 \nL 73.058533 129.549919 \nL 74.59421 129.609439 \nL 77.590067 130.066712 \nL 80.396306 130.918237 \nL 82.931743 132.088808 \nL 85.143502 133.502654 \nL 87.00327 135.089426 \nL 88.501919 136.787496 \nL 89.643852 138.545115 \nL 90.441861 140.320056 \nL 90.912981 142.078398 \nL 91.075453 143.792939 \nL 90.946754 145.441527 \nL 90.542512 147.005488 \nL 89.876142 148.468256 \nL 88.95904 149.814183 \nL 87.801178 151.027553 \nL 86.412067 152.091787 \nL 84.801995 152.988807 \nL 82.983555 153.698645 \nL 80.973399 154.199265 \nL 78.794242 154.466756 \nL 76.476985 154.475987 \nL 74.06285 154.201875 \nL 71.605283 153.621417 \nL 69.171214 152.716614 \nL 66.84124 151.478286 \nL 64.708058 149.910587 \nL 63.746655 149.009337 \nL 62.872645 148.035729 \nL 62.098876 146.996037 \nL 61.437752 145.898084 \nL 60.900918 144.751257 \nL 60.498875 143.566457 \nL 60.240643 142.355974 \nL 60.133398 141.133322 \nL 60.182163 139.912964 \nL 60.38954 138.710012 \nL 60.755508 137.539856 \nL 61.277314 136.417743 \nL 61.949447 135.35837 \nL 62.763736 134.375442 \nL 63.709529 133.481306 \nL 64.773978 132.686584 \nL 65.942391 131.999933 \nL 67.198667 131.427835 \nL 68.525746 130.974524 \nL 69.906085 130.641987 \nL 71.322109 130.430045 \nL 72.756655 130.336524 \nL 75.616846 130.487456 \nL 78.370055 131.046905 \nL 80.923187 131.952249 \nL 83.208869 133.134793 \nL 85.184096 134.52663 \nL 86.826552 136.065275 \nL 88.129852 137.696084 \nL 89.098709 139.372965 \nL 89.74465 141.057964 \nL 90.082604 142.720121 \nL 90.128455 144.334102 \nL 89.897494 145.878747 \nL 89.40361 147.33572 \nL 88.659117 148.688327 \nL 87.675033 149.920485 \nL 86.461769 151.01589 \nL 85.030122 151.957358 \nL 83.392536 152.726336 \nL 81.564613 153.302695 \nL 79.566835 153.66477 \nL 77.426416 153.789811 \nL 75.1792 153.654938 \nL 72.87142 153.238717 \nL 70.560976 152.523486 \nL 68.317917 151.498439 \nL 66.223582 150.163373 \nL 64.367961 148.532762 \nL 62.844833 146.639574 \nL 62.236583 145.610557 \nL 61.744648 144.537887 \nL 61.378337 143.431697 \nL 61.145584 142.303318 \nL 61.052645 141.16512 \nL 61.103817 140.030277 \nL 61.301233 138.912491 \nL 61.64468 137.825674 \nL 62.131523 136.783575 \nL 62.756685 135.799434 \nL 63.512732 134.885615 \nL 64.390032 134.053258 \nL 65.376999 133.311998 \nL 66.460418 132.669738 \nL 67.625788 132.132483 \nL 68.857729 131.704237 \nL 70.140388 131.387039 \nL 71.457837 131.180993 \nL 74.135241 131.094045 \nL 76.774186 131.412162 \nL 79.276614 132.086105 \nL 81.566368 133.056509 \nL 83.589846 134.260844 \nL 85.314016 135.6387 \nL 86.722833 137.135133 \nL 87.813058 138.702271 \nL 88.590177 140.299607 \nL 89.064928 141.893442 \nL 89.250606 143.455869 \nL 89.161167 144.963534 \nL 88.810108 146.396398 \nL 88.209957 147.736593 \nL 87.372286 148.967412 \nL 86.308146 150.072464 \nL 85.028825 151.03498 \nL 83.546894 151.837343 \nL 81.877494 152.460782 \nL 80.039816 152.885355 \nL 78.058731 153.09028 \nL 75.966466 153.054666 \nL 73.804149 152.758796 \nL 71.62306 152.186006 \nL 69.485186 151.325249 \nL 67.462753 150.174234 \nL 65.636286 148.742901 \nL 64.090868 147.056817 \nL 62.910425 145.15977 \nL 62.481183 144.151076 \nL 62.170323 143.114709 \nL 61.98455 142.061273 \nL 61.928993 141.002241 \nL 62.006977 139.949704 \nL 62.219848 138.916136 \nL 62.566844 137.914102 \nL 63.045045 136.955945 \nL 63.649376 136.053472 \nL 64.372699 135.217647 \nL 65.205955 134.458305 \nL 66.13841 133.783919 \nL 67.157916 133.201392 \nL 68.251236 132.715942 \nL 69.404391 132.331039 \nL 71.832674 131.868034 \nL 74.32914 131.806579 \nL 76.788824 132.118594 \nL 79.122318 132.75995 \nL 81.259444 133.677254 \nL 83.14997 134.813891 \nL 84.761991 136.114656 \nL 86.078935 137.528799 \nL 87.095978 139.01155 \nL 87.816514 140.524521 \nL 88.249101 142.035305 \nL 88.405041 143.516666 \nL 88.296696 144.945465 \nL 87.936431 146.30161 \nL 87.336162 147.567041 \nL 86.507359 148.724827 \nL 85.461436 149.758411 \nL 84.210466 150.651027 \nL 82.768169 151.385287 \nL 81.151088 151.942992 \nL 79.379958 152.305212 \nL 77.481156 152.452688 \nL 75.488144 152.366656 \nL 73.442754 152.030174 \nL 71.39604 151.429989 \nL 69.408488 150.55894 \nL 67.549136 149.418836 \nL 65.893354 148.023469 \nL 64.518992 146.401369 \nL 63.500901 144.597642 \nL 63.146377 143.646396 \nL 62.904154 142.674195 \nL 62.77963 141.691073 \nL 62.7767 140.707711 \nL 62.897569 139.735251 \nL 63.142628 138.78504 \nL 63.510375 137.868391 \nL 63.997381 136.996295 \nL 64.598326 136.179167 \nL 65.306102 135.426579 \nL 66.111971 134.747013 \nL 67.005774 134.147692 \nL 69.011011 133.211485 \nL 71.22246 132.646014 \nL 73.53632 132.455155 \nL 75.853267 132.621252 \nL 78.085461 133.10999 \nL 80.160963 133.876139 \nL 82.02543 134.869174 \nL 83.641595 136.037868 \nL 84.987181 137.333605 \nL 86.051981 138.712332 \nL 86.834766 140.135406 \nL 87.340413 141.569604 \nL 87.577507 142.986592 \nL 87.556584 144.36213 \nL 87.288937 145.675148 \nL 86.785973 146.906831 \nL 86.05906 148.039779 \nL 85.11974 149.057309 \nL 83.980271 149.942867 \nL 82.654439 150.679635 \nL 81.158581 151.250321 \nL 79.512756 151.63721 \nL 77.742017 151.822496 \nL 75.877678 151.788996 \nL 73.958412 151.521278 \nL 72.031037 151.007279 \nL 70.150681 150.240363 \nL 68.380088 149.221779 \nL 66.787751 147.963278 \nL 65.444673 146.489503 \nL 64.419738 144.839679 \nL 63.773906 143.067966 \nL 63.553846 141.241975 \nL 63.612654 140.332588 \nL 63.785924 139.439147 \nL 64.073035 138.571933 \nL 64.471652 137.741053 \nL 64.977743 136.956196 \nL 65.58564 136.226413 \nL 67.076715 134.963779 \nL 68.872229 134.005338 \nL 70.884891 133.382882 \nL 73.020887 133.106581 \nL 75.187948 133.166563 \nL 77.302055 133.536546 \nL 79.292103 134.178666 \nL 81.102212 135.048452 \nL 82.691989 136.099151 \nL 84.03519 137.285109 \nL 85.117469 138.563937 \nL 85.933722 139.897639 \nL 86.485501 141.252965 \nL 86.778775 142.601152 \nL 86.822141 143.917335 \nL 86.6256 145.179803 \nL 86.199804 146.369204 \nL 85.555772 147.467785 \nL 84.704968 148.458738 \nL 83.659719 149.325664 \nL 82.433859 150.052187 \nL 81.043615 150.621757 \nL 79.508616 151.017687 \nL 77.853001 151.223447 \nL 76.106506 151.223288 \nL 74.305425 151.003239 \nL 72.493252 150.552523 \nL 70.720819 149.865354 \nL 69.04565 148.943054 \nL 67.530332 147.796315 \nL 66.23971 146.447265 \nL 65.236879 144.930917 \nL 64.578185 143.295547 \nL 64.307674 141.601523 \nL 64.45181 139.918284 \nL 65.015322 138.319625 \nL 65.979078 136.877674 \nL 67.300643 135.656591 \nL 68.917561 134.70692 \nL 70.752939 134.061694 \nL 72.72237 133.734815 \nL 74.741055 133.721861 \nL 76.730017 134.002826 \nL 78.620703 134.546102 \nL 80.357598 135.312791 \nL 81.898979 136.260673 \nL 83.216199 137.347447 \nL 84.291974 138.532945 \nL 85.118177 139.780498 \nL 85.693578 141.057448 \nL 86.021769 142.335142 \nL 86.109494 143.588548 \nL 85.965404 144.795656 \nL 85.599274 145.936814 \nL 85.02162 146.994063 \nL 84.243695 147.950546 \nL 83.277781 148.790018 \nL 82.137718 149.496497 \nL 80.839667 150.054087 \nL 79.402964 150.447013 \nL 77.851088 150.65989 \nL 76.212586 150.678292 \nL 74.521892 150.48965 \nL 72.819834 150.084504 \nL 71.153701 149.458091 \nL 69.576614 148.612199 \nL 68.146039 147.557095 \nL 66.921293 146.313292 \nL 65.96001 144.91278 \nL 65.313788 143.399327 \nL 65.023343 141.827439 \nL 65.113892 140.259806 \nL 65.591457 138.763241 \nL 66.440882 137.403559 \nL 67.626067 136.240031 \nL 69.092581 135.320412 \nL 70.772286 134.677326 \nL 72.589254 134.326503 \nL 74.466007 134.267119 \nL 76.329147 134.483902 \nL 78.113696 134.95035 \nL 79.765793 135.632469 \nL 81.243765 136.492324 \nL 82.517828 137.491037 \nL 83.568825 138.590996 \nL 84.386434 139.757239 \nL 84.967218 140.95816 \nL 85.312764 142.165653 \nL 85.428148 143.354892 \nL 85.320732 144.503878 \nL 84.99938 145.592894 \nL 84.474041 146.603942 \nL 83.75567 147.520211 \nL 82.856427 148.325664 \nL 81.790125 149.004715 \nL 80.572857 149.54208 \nL 79.223745 149.922825 \nL 77.765768 150.132622 \nL 76.226535 150.158287 \nL 74.638968 149.988596 \nL 73.041688 149.615415 \nL 71.478987 149.035098 \nL 70.00019 148.250118 \nL 68.658259 147.270718 \nL 67.507513 146.116409 \nL 66.600491 144.81697 \nL 65.984107 143.412636 \nL 65.695418 141.953123 \nL 65.757601 140.495366 \nL 66.176731 139.100008 \nL 66.94001 137.826914 \nL 68.015891 136.730411 \nL 69.356229 135.854874 \nL 70.90019 135.231458 \nL 72.579326 134.876405 \nL 74.323032 134.791101 \nL 76.063563 134.963697 \nL 77.740053 135.37177 \nL 79.301124 135.98551 \nL 80.706119 136.770863 \nL 81.925096 137.69228 \nL 82.937917 138.714771 \nL 83.732794 139.805324 \nL 84.30464 140.93368 \nL 84.653437 142.072595 \nL 84.782836 143.19774 \nL 84.69904 144.287389 \nL 84.410055 145.321977 \nL 83.925256 146.283625 \nL 83.255252 147.155689 \nL 82.412052 147.922395 \nL 81.409399 148.56858 \nL 80.263324 149.079573 \nL 78.99277 149.441247 \nL 77.620301 149.640285 \nL 76.172748 149.664691 \nL 74.681758 149.504538 \nL 73.184055 149.152986 \nL 71.721324 148.607554 \nL 70.339541 147.871522 \nL 69.08763 146.955361 \nL 68.015365 145.87797 \nL 67.170548 144.667474 \nL 66.595566 143.361263 \nL 66.323717 142.005059 \nL 66.375708 140.650864 \nL 66.756877 139.353815 \nL 67.455691 138.16832 \nL 68.443858 137.143862 \nL 69.678171 136.321168 \nL 71.103875 135.72933 \nL 72.659061 135.384211 \nL 74.279421 135.288384 \nL 75.902704 135.432417 \nL 77.472346 135.797082 \nL 78.93993 136.356071 \nL 80.266469 137.078776 \nL 81.422571 137.932728 \nL 82.387806 138.885534 \nL 83.149547 139.90622 \nL 83.701558 140.966044 \nL 84.042593 142.038826 \nL 84.175145 143.100964 \nL 84.104432 144.131206 \nL 83.837689 145.110313 \nL 83.383747 146.020675 \nL 82.752886 146.845922 \nL 81.956931 147.570628 \nL 81.009546 148.1801 \nL 79.92668 148.660287 \nL 78.72712 148.997863 \nL 77.433062 149.180502 \nL 76.070659 149.197342 \nL 74.670424 149.039714 \nL 73.267399 148.702058 \nL 71.900928 148.183057 \nL 70.61397 147.48685 \nL 69.451776 146.624282 \nL 68.459949 145.613882 \nL 67.681859 144.482488 \nL 67.155588 143.265145 \nL 66.910713 142.004159 \nL 66.965261 140.74721 \nL 67.323378 139.544542 \nL 67.974073 138.445544 \nL 68.891383 137.495085 \nL 70.036024 136.730214 \nL 71.358331 136.177626 \nL 72.802096 135.852238 \nL 74.308714 135.757111 \nL 75.821125 135.884457 \nL 77.287051 136.217512 \nL 78.661267 136.73289 \nL 79.90685 137.402976 \nL 80.99546 138.198116 \nL 81.906901 139.088384 \nL 82.628187 140.044843 \nL 83.152368 141.040332 \nL 83.477315 142.04988 \nL 83.604623 143.050749 \nL 83.538704 144.022321 \nL 83.286139 144.94583 \nL 82.855282 145.804045 \nL 82.256099 146.580985 \nL 81.500238 147.261648 \nL 80.601266 147.831852 \nL 79.575052 148.278204 \nL 78.440215 148.588185 \nL 77.218613 148.750433 \nL 75.935762 148.755212 \nL 74.621141 148.595064 \nL 73.308233 148.265669 \nL 72.034239 147.766844 \nL 70.839335 147.103615 \nL 69.76539 146.287255 \nL 68.854134 145.336076 \nL 68.144802 144.27586 \nL 67.671409 143.139642 \nL 67.459919 141.966748 \nL 67.525649 140.801029 \nL 67.87129 139.688322 \nL 68.485941 138.673399 \nL 69.345333 137.796826 \nL 70.413349 137.092062 \nL 71.64463 136.583252 \nL 72.987941 136.284066 \nL 74.389825 136.197538 \nL 75.798046 136.31697 \nL 77.164475 136.627506 \nL 78.447138 137.108158 \nL 79.611394 137.733912 \nL 80.630282 138.477646 \nL 81.48421 139.311721 \nL 82.160212 140.209175 \nL 82.650972 141.144449 \nL 82.953777 142.093834 \nL 83.069561 143.035562 \nL 83.00211 143.949753 \nL 82.757469 144.818215 \nL 82.343587 145.624217 \nL 81.77016 146.352236 \nL 81.048675 146.987762 \nL 80.192601 147.517197 \nL 79.217709 147.927818 \nL 78.142445 148.207934 \nL 76.988322 148.347148 \nL 75.780245 148.336816 \nL 74.546696 148.170659 \nL 73.319697 147.845553 \nL 72.134428 147.362415 \nL 71.028458 146.727125 \nL 70.040495 145.951399 \nL 69.208655 145.053406 \nL 68.568307 144.058008 \nL 68.149633 142.996459 \nL 67.975165 141.905431 \nL 68.05756 140.825322 \nL 68.397969 139.797957 \nL 68.985307 138.863922 \nL 69.796565 138.059746 \nL 70.798236 137.415444 \nL 71.948652 136.952658 \nL 73.20096 136.683594 \nL 74.506321 136.610975 \nL 75.816955 136.728777 \nL 77.088658 137.023622 \nL 78.28266 137.476507 \nL 79.366696 138.064646 \nL 80.315369 138.763181 \nL 81.109957 139.546594 \nL 81.737798 140.389773 \nL 82.19148 141.26874 \nL 82.467951 142.161055 \nL 82.567695 143.045973 \nL 82.494032 143.904426 \nL 82.252597 144.718885 \nL 81.851014 145.473188 \nL 81.298754 146.152352 \nL 80.607155 146.742426 \nL 79.789593 147.230422 \nL 78.861727 147.604345 \nL 77.303827 147.92796 \nL 75.613589 147.940617 \nL 73.881112 147.623087 \nL 72.754187 147.225544 \nL 71.689401 146.683607 \nL 70.72235 146.006616 \nL 69.888481 145.209606 \nL 69.221297 144.313633 \nL 68.750245 143.345612 \nL 68.498537 142.337648 \nL 68.481084 141.325713 \nL 68.702872 140.347812 \nL 69.158015 139.441691 \nL 69.829683 138.642422 \nL 70.690991 137.980042 \nL 71.70675 137.477674 \nL 72.835894 137.150331 \nL 74.03425 137.004427 \nL 75.257321 137.038138 \nL 76.462751 137.242352 \nL 77.612275 137.602071 \nL 78.673023 138.097994 \nL 79.618176 138.708104 \nL 80.427068 139.409024 \nL 81.084844 140.177176 \nL 81.581881 140.98958 \nL 81.913025 141.824377 \nL 82.076873 142.661122 \nL 82.075093 143.480859 \nL 81.911897 144.26609 \nL 81.593665 145.00066 \nL 81.12874 145.669625 \nL 80.527362 146.259132 \nL 79.801758 146.756349 \nL 78.512514 147.303612 \nL 77.035484 147.582153 \nL 75.443231 147.565079 \nL 73.822834 147.236816 \nL 72.274594 146.59772 \nL 71.33625 146.008541 \nL 70.511335 145.302701 \nL 69.831377 144.49808 \nL 69.324735 143.617919 \nL 69.014674 142.690324 \nL 68.917482 141.747278 \nL 69.040899 140.823145 \nL 69.383078 139.952753 \nL 69.932238 139.169255 \nL 70.667158 138.502047 \nL 71.558446 137.974911 \nL 72.570471 137.604693 \nL 73.663722 137.40062 \nL 74.79729 137.364285 \nL 75.931201 137.49029 \nL 77.028362 137.767273 \nL 78.534932 138.429995 \nL 79.798026 139.3297 \nL 80.757026 140.393492 \nL 81.376761 141.548707 \nL 81.593762 142.335713 \nL 81.653463 143.114242 \nL 81.558662 143.866957 \nL 81.314491 144.577802 \nL 80.928143 145.231926 \nL 80.1026 146.076977 \nL 79.017474 146.721787 \nL 77.722885 147.130053 \nL 76.281091 147.272295 \nL 74.767439 147.128326 \nL 73.27 146.690827 \nL 71.886883 145.969731 \nL 71.078934 145.345968 \nL 70.396925 144.624845 \nL 69.867924 143.826465 \nL 69.514821 142.975478 \nL 69.35464 142.100289 \nL 69.397056 141.231878 \nL 69.64331 140.402176 \nL 70.085713 139.642233 \nL 70.707821 138.98034 \nL 71.485336 138.440289 \nL 72.387615 138.040038 \nL 73.379639 137.790844 \nL 74.424184 137.697037 \nL 75.483979 137.756345 \nL 77.02563 138.113295 \nL 78.418208 138.749182 \nL 79.580467 139.602953 \nL 80.456198 140.607038 \nL 81.012423 141.693683 \nL 81.235782 142.798832 \nL 81.128623 143.863953 \nL 80.705834 144.836472 \nL 79.992956 145.669539 \nL 79.025529 146.321749 \nL 77.849502 146.757334 \nL 76.522099 146.947168 \nL 75.112512 146.870811 \nL 73.701562 146.519544 \nL 72.379469 145.900126 \nL 71.240939 145.038507 \nL 70.629436 144.352163 \nL 70.16454 143.598493 \nL 69.866205 142.801035 \nL 69.748722 141.986485 \nL 69.819479 141.183548 \nL 70.078098 140.421437 \nL 70.516117 139.728261 \nL 71.117266 139.12933 \nL 71.858349 138.645701 \nL 72.710674 138.293039 \nL 73.641801 138.080907 \nL 75.111346 138.031886 \nL 76.567804 138.292208 \nL 77.909751 138.824983 \nL 79.055288 139.577153 \nL 79.94505 140.487275 \nL 80.54167 141.49179 \nL 80.827088 142.529257 \nL 80.799222 143.542667 \nL 80.468985 144.480362 \nL 79.858266 145.296132 \nL 78.99902 145.949147 \nL 77.933263 146.40417 \nL 76.713606 146.632423 \nL 75.4037 146.613307 \nL 74.077878 146.336983 \nL 72.819236 145.807609 \nL 71.71545 145.046594 \nL 70.852044 144.09493 \nL 70.447495 143.383866 \nL 70.200537 142.637187 \nL 70.122968 141.879941 \nL 70.22011 141.138669 \nL 70.490158 140.440084 \nL 70.92399 139.809563 \nL 71.505531 139.269696 \nL 72.21263 138.839047 \nL 73.018373 138.531173 \nL 74.345717 138.315599 \nL 75.721214 138.396752 \nL 77.043754 138.753235 \nL 78.226064 139.344429 \nL 79.199975 140.117592 \nL 79.917937 141.014322 \nL 80.351867 141.975578 \nL 80.490612 142.944934 \nL 80.337128 143.870276 \nL 79.906198 144.704494 \nL 79.222988 145.405652 \nL 78.322512 145.937175 \nL 77.249733 146.268416 \nL 76.059836 146.375903 \nL 74.818122 146.245293 \nL 73.598805 145.874007 \nL 72.482118 145.274137 \nL 71.549238 144.474926 \nL 70.875068 143.523878 \nL 70.519599 142.485479 \nL 70.478851 141.782457 \nL 70.600046 141.099297 \nL 70.880126 140.460354 \nL 71.309437 139.888482 \nL 71.872143 139.403812 \nL 72.918881 138.874663 \nL 74.130027 138.612292 \nL 75.408896 138.626322 \nL 76.660336 138.902574 \nL 77.799738 139.407757 \nL 78.758773 140.095553 \nL 79.487759 140.912654 \nL 79.95539 141.803748 \nL 80.146874 142.714907 \nL 80.061555 143.595671 \nL 79.71076 144.400026 \nL 79.116308 145.086829 \nL 78.309769 145.620135 \nL 77.332299 145.969757 \nL 76.234696 146.112343 \nL 75.077161 146.033092 \nL 73.928198 145.728021 \nL 72.862055 145.206479 \nL 71.954326 144.493369 \nL 71.275671 143.63023 \nL 70.884169 142.674347 \nL 70.817517 141.695205 \nL 70.960194 141.066769 \nL 71.248619 140.483726 \nL 71.931004 139.738529 \nL 72.861175 139.198088 \nL 73.962376 138.899528 \nL 75.146769 138.857145 \nL 76.325491 139.062944 \nL 77.417302 139.490224 \nL 78.354596 140.098769 \nL 79.086411 140.840356 \nL 79.578897 141.663501 \nL 79.814119 142.517031 \nL 79.788111 143.35235 \nL 79.508949 144.124729 \nL 78.995247 144.793941 \nL 78.275278 145.324729 \nL 77.386611 145.68738 \nL 76.375977 145.858716 \nL 75.298905 145.823572 \nL 74.218686 145.576775 \nL 73.204087 145.12534 \nL 72.325505 144.490434 \nL 71.64946 143.708407 \nL 71.231858 142.830175 \nL 71.110937 141.918324 \nL 71.301336 141.041833 \nL 71.790737 140.268956 \nL 72.540192 139.659464 \nL 73.488366 139.257881 \nL 74.558924 139.089076 \nL 75.669438 139.15699 \nL 76.740057 139.446421 \nL 77.700351 139.926878 \nL 78.493695 140.557444 \nL 79.079079 141.29152 \nL 79.431001 142.080752 \nL 79.538167 142.877819 \nL 79.401803 143.638229 \nL 79.034092 144.321343 \nL 78.457054 144.891035 \nL 77.701894 145.316258 \nL 76.808661 145.571832 \nL 75.825892 145.639631 \nL 74.80984 145.51018 \nL 73.822806 145.184543 \nL 72.930216 144.676182 \nL 72.196238 144.01225 \nL 71.678135 143.233696 \nL 71.419932 142.393598 \nL 71.44647 141.553348 \nL 71.759162 140.777001 \nL 72.334567 140.124397 \nL 73.126446 139.644547 \nL 74.071013 139.370385 \nL 75.094391 139.316114 \nL 76.120676 139.477297 \nL 77.079127 139.833324 \nL 77.909498 140.351327 \nL 78.565063 140.990594 \nL 79.013587 141.706589 \nL 79.236851 142.45411 \nL 79.229389 143.18955 \nL 78.997045 143.87232 \nL 78.555752 144.465746 \nL 77.930655 144.937746 \nL 77.155583 145.261532 \nL 76.272611 145.416583 \nL 75.331425 145.389945 \nL 74.388051 145.177833 \nL 73.502649 144.787307 \nL 72.736054 144.237662 \nL 72.145107 143.560983 \nL 71.777133 142.801364 \nL 71.664318 142.012332 \nL 71.819034 141.252443 \nL 72.231264 140.579561 \nL 72.868861 140.044638 \nL 73.680866 139.686247 \nL 74.603302 139.526908 \nL 75.56627 139.57182 \nL 76.501006 139.809925 \nL 77.345723 140.216743 \nL 78.049588 140.758183 \nL 78.574737 141.39441 \nL 78.896648 142.08319 \nL 79.00348 142.782491 \nL 78.894907 143.452293 \nL 78.580918 144.055781 \nL 78.080833 144.560148 \nL 77.422605 144.937347 \nL 76.642287 145.164921 \nL 75.783419 145.227093 \nL 74.896042 145.116109 \nL 74.034984 144.833727 \nL 73.257139 144.392569 \nL 72.617662 143.816961 \nL 72.165248 143.142743 \nL 71.936999 142.415653 \nL 71.95372 141.688084 \nL 72.216604 141.014408 \nL 72.70617 140.445474 \nL 73.383905 140.023243 \nL 74.196417 139.776566 \nL 75.081322 139.718845 \nL 75.973754 139.847846 \nL 76.812367 140.147437 \nL 77.543929 140.590606 \nL 78.126211 141.142909 \nL 78.529238 141.76585 \nL 78.735277 142.41968 \nL 78.738095 143.06553 \nL 78.54192 143.666851 \nL 78.160442 144.190495 \nL 77.616019 144.607484 \nL 76.939022 144.893828 \nL 76.16724 145.031457 \nL 75.068203 144.965778 \nL 73.998688 144.614747 \nL 73.291243 144.180438 \nL 72.72127 143.626117 \nL 72.332191 142.986977 \nL 72.15581 142.30678 \nL 72.208274 141.634587 \nL 72.487441 141.020355 \nL 72.972367 140.509957 \nL 73.625165 140.140434 \nL 74.39506 139.93645 \nL 75.223804 139.908426 \nL 76.051552 140.052614 \nL 77.057667 140.483211 \nL 77.852571 141.125976 \nL 78.262454 141.698451 \nL 78.490285 142.307281 \nL 78.527896 142.915611 \nL 78.377282 143.48843 \nL 78.0497 143.993707 \nL 77.564875 144.403256 \nL 76.950331 144.693562 \nL 75.989983 144.865052 \nL 74.960302 144.769672 \nL 73.973889 144.409461 \nL 73.147024 143.816379 \nL 72.695977 143.255656 \nL 72.429716 142.63599 \nL 72.370554 142.000861 \nL 72.524981 141.396548 \nL 72.882236 140.867832 \nL 73.414945 140.453484 \nL 74.081838 140.182471 \nL 74.832083 140.071426 \nL 75.866693 140.176311 \nL 76.824866 140.544831 \nL 77.599506 141.121387 \nL 78.113305 141.831753 \nL 78.299768 142.403134 \nL 78.307611 142.969211 \nL 78.139898 143.497296 \nL 77.808463 143.957605 \nL 77.147273 144.421662 \nL 76.298265 144.67116 \nL 75.348444 144.676227 \nL 74.399734 144.429851 \nL 73.560833 143.951909 \nL 72.935175 143.291236 \nL 72.657095 142.720544 \nL 72.569036 142.128825 \nL 72.67937 141.558706 \nL 72.980742 141.052031 \nL 73.450356 140.645796 \nL 74.052138 140.368562 \nL 74.980374 140.228248 \nL 75.942017 140.355658 \nL 76.820833 140.724172 \nL 77.519472 141.280091 \nL 77.968496 141.953203 \nL 78.129516 142.666621 \nL 77.994402 143.344652 \nL 77.582671 143.918363 \nL 76.938543 144.329719 \nL 76.127996 144.535196 \nL 75.235208 144.509575 \nL 74.357192 144.249883 \nL 73.595453 143.778792 \nL 73.044305 143.145792 \nL 72.776903 142.424352 \nL 72.787375 141.878723 \nL 72.98046 141.373031 \nL 73.342044 140.944132 \nL 73.844643 140.622684 \nL 74.667131 140.397118 \nL 75.564358 140.421412 \nL 76.425312 140.683208 \nL 77.151109 141.141709 \nL 77.665815 141.736583 \nL 77.921648 142.397469 \nL 77.899803 143.05214 \nL 77.608754 143.632684 \nL 77.081639 144.080026 \nL 76.373435 144.347676 \nL 75.557653 144.405298 \nL 74.721769 144.242373 \nL 73.960266 143.871523 \nL 73.364741 143.330263 \nL 73.011584 142.679626 \nL 72.949265 141.998358 \nL 73.10137 141.519148 \nL 73.413007 141.105881 \nL 74.034586 140.707315 \nL 74.814266 140.524817 \nL 75.651494 140.574806 \nL 76.443864 140.842789 \nL 77.101203 141.288692 \nL 77.555105 141.854991 \nL 77.763526 142.475419 \nL 77.711535 143.082362 \nL 77.409817 143.612637 \nL 76.892259 144.011836 \nL 76.213154 144.237988 \nL 75.443773 144.265024 \nL 74.667546 144.086154 \nL 73.972982 143.716671 \nL 73.444018 143.195036 \nL 73.148512 142.580854 \nL 73.126855 141.948764 \nL 73.383736 141.378354 \nL 73.885803 140.941875 \nL 74.566565 140.692617 \nL 75.337581 140.657121 \nL 76.102852 140.832824 \nL 76.772775 141.191134 \nL 77.274761 141.684006 \nL 77.559428 142.2519 \nL 77.60278 142.831225 \nL 77.405716 143.360429 \nL 76.992119 143.784711 \nL 76.406338 144.059834 \nL 75.710068 144.155514 \nL 74.978153 144.05865 \nL 74.292608 143.776129 \nL 73.734344 143.336346 \nL 73.372975 142.788301 \nL 73.256143 142.197223 \nL 73.400721 141.636451 \nL 73.788599 141.176689 \nL 74.368777 140.874875 \nL 75.065617 140.765557 \nL 75.791219 140.856713 \nL 76.458663 141.130712 \nL 76.993192 141.54916 \nL 77.33969 142.059882 \nL 77.466245 142.604112 \nL 77.364758 143.122759 \nL 77.049683 143.5614 \nL 76.555889 143.87432 \nL 75.93584 144.027896 \nL 75.255921 144.003764 \nL 74.59131 143.801573 \nL 74.018892 143.440798 \nL 73.608317 142.960649 \nL 73.412138 142.417098 \nL 73.456952 141.876524 \nL 73.737895 141.406516 \nL 74.218416 141.065622 \nL 74.835874 140.894329 \nL 75.511681 140.909608 \nL 76.313494 141.177551 \nL 76.935959 141.663805 \nL 77.235334 142.147597 \nL 77.326943 142.656048 \nL 77.205651 143.133998 \nL 76.887486 143.531091 \nL 76.407541 143.80561 \nL 75.817145 143.927782 \nL 75.021781 143.845137 \nL 74.292661 143.511655 \nL 73.847962 143.099437 \nL 73.587555 142.607853 \nL 73.545512 142.095942 \nL 73.728184 141.627039 \nL 74.112173 141.259529 \nL 74.647567 141.037945 \nL 75.265842 140.98662 \nL 76.038923 141.162298 \nL 76.681954 141.562692 \nL 77.087182 142.108282 \nL 77.197543 142.583226 \nL 77.10817 143.035998 \nL 76.831656 143.418494 \nL 76.398946 143.690363 \nL 75.710685 143.831127 \nL 74.968595 143.727681 \nL 74.302918 143.393675 \nL 73.836471 142.884843 \nL 73.669356 142.412732 \nL 73.710881 141.944397 \nL 73.956237 141.537816 \nL 74.37377 141.243076 \nL 74.909694 141.094922 \nL 75.642774 141.136499 \nL 76.317986 141.412536 \nL 76.817112 141.864709 \nL 77.059933 142.40793 \nL 77.045503 142.844158 \nL 76.849441 143.230756 \nL 76.494641 143.526725 \nL 75.888214 143.722074 \nL 75.197807 143.692615 \nL 74.543394 143.440123 \nL 74.043757 143.005768 \nL 73.79404 142.466618 \nL 73.809602 142.027166 \nL 74.016574 141.639077 \nL 74.388384 141.350004 \nL 75.010835 141.178432 \nL 75.694316 141.240701 \nL 76.311994 141.517645 \nL 76.756351 141.952042 \nL 76.956211 142.462982 \nL 76.884366 142.961376 \nL 76.557919 143.363702 \nL 76.03383 143.603115 \nL 75.401036 143.638448 \nL 74.768747 143.461233 \nL 74.250172 143.099577 \nL 73.94233 142.616631 \nL 73.905277 142.101346 \nL 74.077799 141.731762 \nL 74.510196 141.396892 \nL 75.101448 141.259027 \nL 75.737555 141.338936 \nL 76.301342 141.615019 \nL 76.6952 142.03135 \nL 76.856238 142.511051 \nL 76.763008 142.970706 \nL 76.435535 143.333108 \nL 75.930857 143.537724 \nL 75.335077 143.549104 \nL 74.75166 143.363195 \nL 74.285518 143.010304 \nL 74.023924 142.552683 \nL 74.017707 142.074873 \nL 74.268353 141.667315 \nL 74.726232 141.406772 \nL 75.301656 141.339622 \nL 75.885349 141.473172 \nL 76.371687 141.776869 \nL 76.678024 142.191427 \nL 76.75663 142.641852 \nL 76.59919 143.050587 \nL 76.235592 143.349022 \nL 75.728667 143.486876 \nL 75.16551 143.439652 \nL 74.55467 143.149803 \nL 74.208676 142.762351 \nL 74.082497 142.315811 \nL 74.200802 141.89373 \nL 74.540291 141.575833 \nL 75.034197 141.420716 \nL 75.587417 141.453732 \nL 76.185929 141.723339 \nL 76.573118 142.167881 \nL 76.667864 142.588392 \nL 76.541096 142.976768 \nL 76.217505 143.267458 \nL 75.753443 143.411418 \nL 75.124769 143.356882 \nL 74.568033 143.067295 \nL 74.265354 142.696627 \nL 74.171982 142.279178 \nL 74.305986 141.893021 \nL 74.64096 141.610781 \nL 75.111375 141.48403 \nL 75.727407 141.563121 \nL 76.247228 141.864574 \nL 76.542816 142.304304 \nL 76.567808 142.694863 \nL 76.389307 143.035592 \nL 76.040104 143.268947 \nL 75.482518 143.352997 \nL 74.906203 143.204476 \nL 74.458525 142.8587 \nL 74.258017 142.403787 \nL 74.321527 142.027948 \nL 74.583468 141.730452 \nL 74.992585 141.566244 \nL 75.566186 141.582333 \nL 76.086028 141.817904 \nL 76.421728 142.205613 \nL 76.495249 142.644005 \nL 76.345593 142.969044 \nL 75.954448 143.228648 \nL 75.426758 143.287583 \nL 74.894457 143.13013 \nL 74.494065 142.794442 \nL 74.331551 142.366576 \nL 74.411806 142.021216 \nL 74.673266 141.755179 \nL 75.152647 141.607597 \nL 75.687944 141.677818 \nL 76.139245 141.941124 \nL 76.394975 142.324603 \nL 76.397001 142.729392 \nL 76.149977 143.055436 \nL 75.717383 143.223397 \nL 75.207147 143.191692 \nL 74.748194 142.96709 \nL 74.459678 142.605843 \nL 74.418468 142.202056 \nL 74.635177 141.863137 \nL 75.049394 141.678671 \nL 75.547969 141.694263 \nL 75.999322 141.900343 \nL 76.29004 142.23856 \nL 76.351921 142.620494 \nL 76.174635 142.950761 \nL 75.80501 143.148651 \nL 75.335703 143.165548 \nL 74.820064 142.952558 \nL 74.535823 142.622689 \nL 74.478552 142.245855 \nL 74.663097 141.922009 \nL 75.038037 141.736672 \nL 75.501056 141.736116 \nL 75.989775 141.960076 \nL 76.266293 142.342211 \nL 76.265833 142.694662 \nL 76.048275 142.977589 \nL 75.669795 143.121778 \nL 75.152806 143.069401 \nL 74.724131 142.798327 \nL 74.543191 142.461172 \nL 74.587166 142.119685 \nL 74.843195 141.864393 \nL 75.240728 141.761674 \nL 75.740054 141.863499 \nL 76.111807 142.160471 \nL 76.233492 142.545357 \nL 76.109933 142.845297 \nL 75.809245 143.039077 \nL 75.337596 143.069513 \nL 74.890377 142.881627 \nL 74.623287 142.53955 \nL 74.612124 142.214149 \nL 74.806733 141.949702 \nL 75.153337 141.815436 \nL 75.623856 141.864475 \nL 76.007453 142.109948 \nL 76.175709 142.461901 \nL 76.107311 142.756236 \nL 75.861704 142.966502 \nL 75.436525 143.038418 \nL 75.001705 142.902773 \nL 74.707887 142.605729 \nL 74.658756 142.251316 \nL 74.826503 141.997864 \nL 75.202464 141.853314 \nL 75.64031 141.914566 \nL 75.986381 142.154545 \nL 76.125154 142.485979 \nL 76.014873 142.794729 \nL 75.69669 142.977451 \nL 75.279749 142.973343 \nL 74.865556 142.74468 \nL 74.699538 142.426276 \nL 74.780716 142.114113 \nL 75.07802 141.918967 \nL 75.482578 141.907738 \nL 75.892282 142.11604 \nL 76.068165 142.415888 \nL 76.013226 142.71727 \nL 75.750105 142.91871 \nL 75.313223 142.942956 \nL 74.918605 142.740705 \nL 74.744082 142.402698 \nL 74.837382 142.116788 \nL 75.126425 141.946543 \nL 75.559493 141.965031 \nL 75.911748 142.193404 \nL 76.029796 142.524158 \nL 75.901935 142.781438 \nL 75.604194 142.917651 \nL 75.188566 142.869379 \nL 74.870922 142.627389 \nL 74.794836 142.301092 \nL 74.955795 142.064257 \nL 75.320523 141.959691 \nL 75.713234 142.070973 \nL 75.957929 142.342122 \nL 75.950971 142.649172 \nL 75.74226 142.84029 \nL 75.369004 142.885071 \nL 75.012789 142.729061 \nL 74.833667 142.442472 \nL 74.888547 142.186934 \nL 75.164822 142.00945 \nL 75.541412 142.027204 \nL 75.872268 142.260739 \nL 75.942404 142.550967 \nL 75.771488 142.785241 \nL 75.438027 142.861743 \nL 75.054409 142.721774 \nL 74.874992 142.458547 \nL 74.934389 142.187884 \nL 75.20283 142.03322 \nL 75.596191 142.079085 \nL 75.870608 142.322781 \nL 75.891574 142.592794 \nL 75.694536 142.788888 \nL 75.326285 142.817729 \nL 75.002922 142.632647 \nL 74.90643 142.338661 \nL 75.057665 142.121974 \nL 75.360225 142.050297 \nL 75.706854 142.176005 \nL 75.874443 142.443236 \nL 75.798921 142.677512 \nL 75.54747 142.801249 \nL 75.196229 142.744559 \nL 74.962701 142.515241 \nL 74.978192 142.243832 \nL 75.194842 142.093477 \nL 75.536607 142.111911 \nL 75.810105 142.339442 \nL 75.814323 142.601087 \nL 75.588269 142.766331 \nL 75.259978 142.745306 \nL 74.998058 142.522903 \nL 74.999685 142.268208 \nL 75.22642 142.112003 \nL 75.578553 142.155467 \nL 75.800031 142.388236 \nL 75.763381 142.625974 \nL 75.525143 142.754001 \nL 75.189333 142.686488 \nL 75.001372 142.448194 \nL 75.068465 142.223955 \nL 75.320446 142.122758 \nL 75.6383 142.217279 \nL 75.786009 142.457638 \nL 75.691169 142.661541 \nL 75.402879 142.734329 \nL 75.095743 142.58064 \nL 75.032748 142.333956 \nL 75.194634 142.17087 \nL 75.498636 142.168781 \nL 75.739156 142.371996 \nL 75.714676 142.602702 \nL 75.476673 142.715759 \nL 75.165874 142.61901 \nL 75.050182 142.373827 \nL 75.196924 142.193454 \nL 75.478744 142.182517 \nL 75.711432 142.365948 \nL 75.699531 142.582959 \nL 75.484016 142.695857 \nL 75.19129 142.614207 \nL 75.072569 142.387863 \nL 75.20013 142.214561 \nL 75.487446 142.204103 \nL 75.703237 142.402774 \nL 75.658317 142.598466 \nL 75.411756 142.678761 \nL 75.143422 142.541527 \nL 75.114093 142.322712 \nL 75.293426 142.203792 \nL 75.582713 142.272405 \nL 75.68927 142.494002 \nL 75.539739 142.648363 \nL 75.256704 142.615904 \nL 75.114425 142.411443 \nL 75.227397 142.242555 \nL 75.499877 142.243374 \nL 75.668667 142.426838 \nL 75.593826 142.603115 \nL 75.339623 142.634234 \nL 75.14031 142.457117 \nL 75.198371 142.280757 \nL 75.440604 142.238968 \nL 75.643401 142.402277 \nL 75.587442 142.586875 \nL 75.353122 142.623422 \nL 75.160054 142.463258 \nL 75.21948 142.285407 \nL 75.448663 142.255049 \nL 75.633678 142.42916 \nL 75.552346 142.591162 \nL 75.307772 142.593947 \nL 75.168136 142.406255 \nL 75.286165 142.268292 \nL 75.524744 142.302967 \nL 75.614373 142.496091 \nL 75.468025 142.605098 \nL 75.232464 142.526698 \nL 75.211004 142.335083 \nL 75.407766 142.271137 \nL 75.599894 142.417054 \nL 75.53116 142.571468 \nL 75.302627 142.565023 \nL 75.202595 142.382768 \nL 75.349179 142.280288 \nL 75.565131 142.374467 \nL 75.550205 142.542705 \nL 75.345654 142.572113 \nL 75.212185 142.403957 \nL 75.330482 142.293781 \nL 75.5413 142.362489 \nL 75.544208 142.531533 \nL 75.35584 142.56505 \nL 75.224217 142.41135 \nL 75.342511 142.301999 \nL 75.543957 142.383176 \nL 75.520337 142.536773 \nL 75.32527 142.542907 \nL 75.24585 142.376387 \nL 75.407541 142.311379 \nL 75.554817 142.444284 \nL 75.451061 142.55449 \nL 75.262131 142.474455 \nL 75.305534 142.333055 \nL 75.502892 142.364688 \nL 75.519299 142.510609 \nL 75.511909 142.517631 \nL 75.333835 142.528392 \nL 75.266038 142.383346 \nL 75.270789 142.375169 \nL 75.43063 142.333095 \nL 75.531423 142.470663 \nL 75.528459 142.479146 \nL 75.386735 142.538409 \nL 75.267896 142.407031 \nL 75.390459 142.332996 \nL 75.524887 142.456283 \nL 75.40307 142.533512 \nL 75.276013 142.41261 \nL 75.396535 142.340338 \nL 75.515733 142.45903 \nL 75.513928 142.466635 \nL 75.377556 142.522676 \nL 75.286905 142.402773 \nL 75.29324 142.388952 \nL 75.439242 142.357651 \nL 75.502021 142.474973 \nL 75.483288 142.498382 \nL 75.319114 142.484256 \nL 75.31186 142.377615 \nL 75.345601 142.357797 \nL 75.499386 142.428858 \nL 75.439091 142.512501 \nL 75.405401 142.515195 \nL 75.298722 142.41933 \nL 75.304 142.40034 \nL 75.442075 142.371527 \nL 75.488301 142.470254 \nL 75.453799 142.501525 \nL 75.30933 142.448317 \nL 75.307284 142.442058 \nL 75.360041 142.365663 \nL 75.398167 142.36351 \nL 75.486973 142.45416 \nL 75.469041 142.484899 \nL 75.326491 142.466733 \nL 75.322555 142.461351 \nL 75.341206 142.378734 \nL 75.39479 142.36801 \nL 75.481411 142.450354 \nL 75.461837 142.483605 \nL 75.329278 142.461913 \nL 75.32303 142.451533 \nL 75.353465 142.378427 \nL 75.405481 142.373935 \nL 75.475313 142.452071 \nL 75.434122 142.492353 \nL 75.323685 142.437571 \nL 75.327271 142.408078 \nL 75.432258 142.38746 \nL 75.452012 142.401606 \nL 75.457062 142.474177 \nL 75.380792 142.487543 \nL 75.329554 142.416211 \nL 75.464009 142.454528 \nL 75.397493 142.439552 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9c733fd5d2\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     }

From adb65b39e91fbbd569c94125baddebc75dbbcb6c Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 15:45:57 -0400
Subject: [PATCH 21/73] Added README.md to examples/ode

---
 examples/ode/README.md | 14 ++++++++++++++
 1 file changed, 14 insertions(+)
 create mode 100644 examples/ode/README.md

diff --git a/examples/ode/README.md b/examples/ode/README.md
new file mode 100644
index 00000000..ac9aad93
--- /dev/null
+++ b/examples/ode/README.md
@@ -0,0 +1,14 @@
+In this folder, we train the ODESolver model on three different ODEs:
+
+Lorenz63:
+
+![alt text](https://wikimedia.org/api/rest_v1/media/math/render/svg/7928004d58943529a7be774575a62ca436a82a7f)
+
+Duffing equation:
+
+![alt text](https://wikimedia.org/api/rest_v1/media/math/render/svg/4881d84893e137772068573bb1218fc1e2b295cd)
+
+SEIR:
+
+
+![alt text](https://miro.medium.com/max/1056/1*dXCHv_pSYiMG90efXiFNPQ.png)
\ No newline at end of file

From b53ca5a547c377c884cbe471bbc36d847a5bc299 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 16:25:36 -0400
Subject: [PATCH 22/73] Increased prediction range to 10000

---
 .../ode/DuffingEquation/DuffingTest_fit.ipynb | 447 +++++++++++---
 .../DuffingTest_fitRandomSample.ipynb         |  24 +-
 examples/ode/SEIR/SEIRTest_fit.ipynb          | 549 ++++++++++++++----
 .../ode/SEIR/SEIRTest_fitRandomSample.ipynb   | 209 +++----
 examples/ode/lorenz63/Lorenz63Train_fit.ipynb |  18 +-
 .../Lorenz63Train_fitRandomSample.ipynb       |   4 +-
 6 files changed, 902 insertions(+), 349 deletions(-)

diff --git a/examples/ode/DuffingEquation/DuffingTest_fit.ipynb b/examples/ode/DuffingEquation/DuffingTest_fit.ipynb
index 75d6cd6c..0ccda33b 100644
--- a/examples/ode/DuffingEquation/DuffingTest_fit.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_fit.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -53,24 +53,16 @@
   },
   {
    "source": [
-    "# 4th Order Runge-Kutta - Data Generation"
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
    ],
    "cell_type": "markdown",
    "metadata": {}
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Coeffs:  {'a': Parameter containing:\ntensor(0.1000, requires_grad=True), 'b': Parameter containing:\ntensor(0.5000, requires_grad=True), 'd': Parameter containing:\ntensor(0.2000, requires_grad=True), 'g': Parameter containing:\ntensor(0.8000, requires_grad=True), 'w': Parameter containing:\ntensor(0.5000, requires_grad=True)}\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "ode_solver = ODESolver(\n",
     "    ode=ode,\n",
@@ -86,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -103,7 +95,7 @@
       ]
      },
      "metadata": {},
-     "execution_count": 43
+     "execution_count": 6
     }
    ],
    "source": [
@@ -112,14 +104,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T10:10:34.073988</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mb8d65ce7b5\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#mb8d65ce7b5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(41.56554 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.69353\" xlink:href=\"#mb8d65ce7b5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(106.560718 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.688708\" xlink:href=\"#mb8d65ce7b5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(171.555896 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.683886\" xlink:href=\"#mb8d65ce7b5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(236.551074 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.679064\" xlink:href=\"#mb8d65ce7b5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(301.546252 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.674242\" xlink:href=\"#mb8d65ce7b5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(366.54143 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m4f6b3df876\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m4f6b3df876\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m4f6b3df876\" y=\"224.660781\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.46)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m4f6b3df876\" y=\"188.105562\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 191.904781)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m4f6b3df876\" y=\"151.550343\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 155.349562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m4f6b3df876\" y=\"114.995124\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 118.794343)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m4f6b3df876\" y=\"78.439905\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 82.239124)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m4f6b3df876\" y=\"41.884686\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 45.683905)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pe42d7c6129)\" d=\"M 52.698352 261.216 \nL 53.998256 261.122669 \nL 55.298159 260.843683 \nL 56.923038 260.236196 \nL 58.547917 259.344019 \nL 60.172796 258.170207 \nL 61.797677 256.717857 \nL 63.422557 254.990103 \nL 65.372414 252.557748 \nL 67.322267 249.738978 \nL 69.272119 246.539483 \nL 71.546946 242.333332 \nL 73.821773 237.626467 \nL 76.096601 232.428886 \nL 78.696404 225.901549 \nL 81.296206 218.764278 \nL 84.220984 210.029687 \nL 87.145762 200.578717 \nL 90.395516 189.282979 \nL 93.970244 175.964801 \nL 97.869948 160.491734 \nL 102.419603 141.433395 \nL 108.91911 113.090869 \nL 115.743592 83.524843 \nL 119.318321 68.917847 \nL 122.243099 57.795983 \nL 124.842902 48.744838 \nL 127.117729 41.606908 \nL 129.067581 36.154735 \nL 131.017433 31.38317 \nL 132.64231 27.966942 \nL 134.267186 25.089661 \nL 135.567088 23.191437 \nL 136.866989 21.662278 \nL 138.16689 20.509207 \nL 139.141816 19.894089 \nL 140.116742 19.494172 \nL 141.091668 19.309701 \nL 142.066594 19.340065 \nL 143.04152 19.583871 \nL 144.016446 20.038922 \nL 144.991372 20.702254 \nL 146.291274 21.904114 \nL 147.591175 23.45874 \nL 148.891077 25.353181 \nL 150.515953 28.176252 \nL 152.14083 31.474124 \nL 154.090682 36.007009 \nL 156.04057 41.103294 \nL 158.31544 47.665082 \nL 160.915291 55.83262 \nL 164.165105 66.787584 \nL 169.039826 84.099453 \nL 176.839379 111.825282 \nL 180.739156 124.868318 \nL 183.98897 135.035406 \nL 186.913802 143.532641 \nL 189.838635 151.341033 \nL 192.438486 157.661908 \nL 195.038337 163.371064 \nL 197.313207 167.849085 \nL 199.588077 171.834065 \nL 201.537965 174.85238 \nL 203.487853 177.50109 \nL 205.437742 179.778862 \nL 207.38763 181.6854 \nL 209.012537 182.991017 \nL 210.637444 184.040087 \nL 212.262351 184.833785 \nL 213.887258 185.373645 \nL 215.512165 185.661508 \nL 217.137072 185.699516 \nL 218.761979 185.49011 \nL 220.386886 185.036026 \nL 222.011793 184.340273 \nL 223.6367 183.406134 \nL 225.261607 182.237201 \nL 227.211495 180.530038 \nL 229.161383 178.497692 \nL 231.111272 176.148174 \nL 233.386141 173.017979 \nL 235.661011 169.483501 \nL 237.935881 165.561874 \nL 240.535732 160.630502 \nL 243.460565 154.548098 \nL 246.385397 147.949828 \nL 249.635211 140.086101 \nL 253.534988 130.039879 \nL 258.409709 116.826535 \nL 270.109039 84.843995 \nL 273.683834 75.87882 \nL 276.608666 69.12775 \nL 279.208518 63.682393 \nL 281.483387 59.418276 \nL 283.433276 56.177978 \nL 285.383164 53.352484 \nL 287.008071 51.333813 \nL 288.632978 49.634301 \nL 290.257885 48.264356 \nL 291.882792 47.231785 \nL 293.182717 46.652173 \nL 294.482643 46.293114 \nL 295.782569 46.154765 \nL 297.082494 46.236115 \nL 298.38242 46.534968 \nL 299.682345 47.048011 \nL 300.982271 47.770835 \nL 302.607178 48.960894 \nL 304.232085 50.457231 \nL 305.856992 52.244751 \nL 307.80688 54.749988 \nL 309.756768 57.617177 \nL 312.031638 61.372173 \nL 314.631489 66.130352 \nL 317.556322 71.966632 \nL 321.131117 79.604881 \nL 327.305763 93.443088 \nL 333.805391 107.841401 \nL 337.705168 115.951435 \nL 340.954982 122.238093 \nL 343.879814 127.452465 \nL 346.804647 132.193073 \nL 349.404498 135.97548 \nL 351.679368 138.932682 \nL 353.954238 141.54796 \nL 356.229107 143.811718 \nL 358.178996 145.46685 \nL 360.128884 146.855403 \nL 362.078772 147.975425 \nL 364.028661 148.826105 \nL 365.978549 149.407616 \nL 367.928437 149.721137 \nL 369.878326 149.768767 \nL 371.828214 149.553522 \nL 373.778102 149.079297 \nL 375.727991 148.350852 \nL 377.352898 147.553641 \nL 377.352898 147.553641 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe42d7c6129\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:54:50.764412</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m60a3c5ad1e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m60a3c5ad1e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(41.56554 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.69353\" xlink:href=\"#m60a3c5ad1e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(106.560718 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.688708\" xlink:href=\"#m60a3c5ad1e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(171.555896 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.683886\" xlink:href=\"#m60a3c5ad1e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(236.551074 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.679064\" xlink:href=\"#m60a3c5ad1e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(301.546252 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.674242\" xlink:href=\"#m60a3c5ad1e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(366.54143 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mac96f06c53\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mac96f06c53\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mac96f06c53\" y=\"224.660781\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.46)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mac96f06c53\" y=\"188.105562\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 191.904781)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mac96f06c53\" y=\"151.550343\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 155.349562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mac96f06c53\" y=\"114.995124\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 118.794343)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mac96f06c53\" y=\"78.439905\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 82.239124)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mac96f06c53\" y=\"41.884686\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 45.683905)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pb6e8e70c2a)\" d=\"M 52.698352 261.216 \nL 53.998256 261.122669 \nL 55.298159 260.843683 \nL 56.923038 260.236196 \nL 58.547917 259.344019 \nL 60.172796 258.170207 \nL 61.797677 256.717857 \nL 63.422557 254.990103 \nL 65.372414 252.557748 \nL 67.322267 249.738978 \nL 69.272119 246.539483 \nL 71.546946 242.333332 \nL 73.821773 237.626467 \nL 76.096601 232.428886 \nL 78.696404 225.901549 \nL 81.296206 218.764278 \nL 84.220984 210.029687 \nL 87.145762 200.578717 \nL 90.395516 189.282979 \nL 93.970244 175.964801 \nL 97.869948 160.491734 \nL 102.419603 141.433395 \nL 108.91911 113.090869 \nL 115.743592 83.524843 \nL 119.318321 68.917847 \nL 122.243099 57.795983 \nL 124.842902 48.744838 \nL 127.117729 41.606908 \nL 129.067581 36.154735 \nL 131.017433 31.38317 \nL 132.64231 27.966942 \nL 134.267186 25.089661 \nL 135.567088 23.191437 \nL 136.866989 21.662278 \nL 138.16689 20.509207 \nL 139.141816 19.894089 \nL 140.116742 19.494172 \nL 141.091668 19.309701 \nL 142.066594 19.340065 \nL 143.04152 19.583871 \nL 144.016446 20.038922 \nL 144.991372 20.702254 \nL 146.291274 21.904114 \nL 147.591175 23.45874 \nL 148.891077 25.353181 \nL 150.515953 28.176252 \nL 152.14083 31.474124 \nL 154.090682 36.007009 \nL 156.04057 41.103294 \nL 158.31544 47.665082 \nL 160.915291 55.83262 \nL 164.165105 66.787584 \nL 169.039826 84.099453 \nL 176.839379 111.825282 \nL 180.739156 124.868318 \nL 183.98897 135.035406 \nL 186.913802 143.532641 \nL 189.838635 151.341033 \nL 192.438486 157.661908 \nL 195.038337 163.371064 \nL 197.313207 167.849085 \nL 199.588077 171.834065 \nL 201.537965 174.85238 \nL 203.487853 177.50109 \nL 205.437742 179.778862 \nL 207.38763 181.6854 \nL 209.012537 182.991017 \nL 210.637444 184.040087 \nL 212.262351 184.833785 \nL 213.887258 185.373645 \nL 215.512165 185.661508 \nL 217.137072 185.699516 \nL 218.761979 185.49011 \nL 220.386886 185.036026 \nL 222.011793 184.340273 \nL 223.6367 183.406134 \nL 225.261607 182.237201 \nL 227.211495 180.530038 \nL 229.161383 178.497692 \nL 231.111272 176.148174 \nL 233.386141 173.017979 \nL 235.661011 169.483501 \nL 237.935881 165.561874 \nL 240.535732 160.630502 \nL 243.460565 154.548098 \nL 246.385397 147.949828 \nL 249.635211 140.086101 \nL 253.534988 130.039879 \nL 258.409709 116.826535 \nL 270.109039 84.843995 \nL 273.683834 75.87882 \nL 276.608666 69.12775 \nL 279.208518 63.682393 \nL 281.483387 59.418276 \nL 283.433276 56.177978 \nL 285.383164 53.352484 \nL 287.008071 51.333813 \nL 288.632978 49.634301 \nL 290.257885 48.264356 \nL 291.882792 47.231785 \nL 293.182717 46.652173 \nL 294.482643 46.293114 \nL 295.782569 46.154765 \nL 297.082494 46.236115 \nL 298.38242 46.534968 \nL 299.682345 47.048011 \nL 300.982271 47.770835 \nL 302.607178 48.960894 \nL 304.232085 50.457231 \nL 305.856992 52.244751 \nL 307.80688 54.749988 \nL 309.756768 57.617177 \nL 312.031638 61.372173 \nL 314.631489 66.130352 \nL 317.556322 71.966632 \nL 321.131117 79.604881 \nL 327.305763 93.443088 \nL 333.805391 107.841401 \nL 337.705168 115.951435 \nL 340.954982 122.238093 \nL 343.879814 127.452465 \nL 346.804647 132.193073 \nL 349.404498 135.97548 \nL 351.679368 138.932682 \nL 353.954238 141.54796 \nL 356.229107 143.811718 \nL 358.178996 145.46685 \nL 360.128884 146.855403 \nL 362.078772 147.975425 \nL 364.028661 148.826105 \nL 365.978549 149.407616 \nL 367.928437 149.721137 \nL 369.878326 149.768767 \nL 371.828214 149.553522 \nL 373.778102 149.079297 \nL 375.727991 148.350852 \nL 377.352898 147.553641 \nL 377.352898 147.553641 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb6e8e70c2a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -143,7 +135,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -161,14 +153,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T10:13:39.411604</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m94ed9cfa54\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m94ed9cfa54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(49.945227 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073218\" xlink:href=\"#m94ed9cfa54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(114.940405 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068396\" xlink:href=\"#m94ed9cfa54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(179.935583 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063574\" xlink:href=\"#m94ed9cfa54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(244.930761 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058752\" xlink:href=\"#m94ed9cfa54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(309.925939 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.05393\" xlink:href=\"#m94ed9cfa54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(374.921117 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mcfedb99541\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mcfedb99541\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mcfedb99541\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mcfedb99541\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mcfedb99541\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mcfedb99541\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p9f479d4fa2)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9f479d4fa2\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:54:52.455444</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m016ee69e13\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m016ee69e13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(49.945227 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073218\" xlink:href=\"#m016ee69e13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(114.940405 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068396\" xlink:href=\"#m016ee69e13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(179.935583 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063574\" xlink:href=\"#m016ee69e13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(244.930761 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058752\" xlink:href=\"#m016ee69e13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(309.925939 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.05393\" xlink:href=\"#m016ee69e13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(374.921117 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m17865d8c42\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m17865d8c42\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m17865d8c42\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m17865d8c42\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m17865d8c42\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m17865d8c42\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p939a745281)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p939a745281\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -186,114 +178,393 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {},
+   "execution_count": 10,
+   "metadata": {
+    "tags": []
+   },
    "outputs": [
     {
      "output_type": "stream",
      "name": "stdout",
      "text": [
-      "n:  1000\n",
-      "Epoch: 0\t Loss: tensor(0.4499, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 1\t Loss: tensor(1.1035, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 2\t Loss: tensor(0.2227, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 3\t Loss: tensor(0.3194, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 4\t Loss: tensor(0.3879, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 5\t Loss: tensor(0.4162, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 6\t Loss: tensor(0.4207, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 7\t Loss: tensor(0.4132, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 8\t Loss: tensor(0.4000, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 9\t Loss: tensor(0.3844, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 10\t Loss: tensor(0.3682, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 11\t Loss: tensor(0.3524, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 12\t Loss: tensor(0.3375, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 13\t Loss: tensor(0.3237, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 14\t Loss: tensor(0.3110, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 15\t Loss: tensor(0.2993, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 16\t Loss: tensor(0.2886, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 17\t Loss: tensor(0.2787, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 18\t Loss: tensor(0.2695, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 19\t Loss: tensor(0.2609, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 20\t Loss: tensor(0.2527, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 21\t Loss: tensor(0.2450, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 22\t Loss: tensor(0.2376, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 23\t Loss: tensor(0.2306, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 24\t Loss: tensor(0.2237, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 25\t Loss: tensor(0.2172, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 26\t Loss: tensor(0.2108, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 27\t Loss: tensor(0.2046, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 28\t Loss: tensor(0.1985, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 29\t Loss: tensor(0.1927, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 30\t Loss: tensor(0.1869, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 31\t Loss: tensor(0.1813, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 32\t Loss: tensor(0.1758, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 33\t Loss: tensor(0.1704, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 34\t Loss: tensor(0.1651, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 35\t Loss: tensor(0.1598, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 36\t Loss: tensor(0.1547, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 37\t Loss: tensor(0.1496, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 38\t Loss: tensor(0.1446, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 39\t Loss: tensor(0.1396, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 40\t Loss: tensor(0.1347, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 41\t Loss: tensor(0.1299, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 42\t Loss: tensor(0.1251, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 43\t Loss: tensor(0.1203, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 44\t Loss: tensor(0.1155, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 45\t Loss: tensor(0.1108, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 46\t Loss: tensor(0.1061, grad_fn=<MseLossBackward>)\n",
+      "ad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3643, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5469, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4862, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.5283, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 47\t Loss: tensor(0.1015, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3608, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5477, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4818, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.5391, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 48\t Loss: tensor(0.0968, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3574, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5484, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4769, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.5499, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 49\t Loss: tensor(0.0922, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3538, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5491, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4716, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.5606, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 50\t Loss: tensor(0.0876, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3503, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5498, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4657, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.5712, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 51\t Loss: tensor(0.0831, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3467, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5505, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4595, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.5817, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 52\t Loss: tensor(0.0786, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3430, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5512, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4527, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.5922, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 53\t Loss: tensor(0.0741, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3394, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5518, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4455, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.6026, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 54\t Loss: tensor(0.0696, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3357, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5525, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4378, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.6129, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 55\t Loss: tensor(0.0652, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3320, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5531, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4296, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.6231, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 56\t Loss: tensor(0.0608, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3283, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5538, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4210, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.6332, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 57\t Loss: tensor(0.0565, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3245, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5544, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4120, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.6431, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 58\t Loss: tensor(0.0522, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3207, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5550, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4026, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.6530, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 59\t Loss: tensor(0.0481, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3170, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5556, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3927, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.6627, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 60\t Loss: tensor(0.0440, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3132, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5562, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3825, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.6722, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 61\t Loss: tensor(0.0400, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3094, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5568, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3719, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.6816, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 62\t Loss: tensor(0.0362, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3056, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5574, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3610, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.6908, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 63\t Loss: tensor(0.0325, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3017, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5579, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3498, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.6998, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 64\t Loss: tensor(0.0290, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2980, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5585, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3384, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7086, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 65\t Loss: tensor(0.0256, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2942, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5590, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3268, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7172, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 66\t Loss: tensor(0.0225, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2904, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5594, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3151, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7255, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 67\t Loss: tensor(0.0195, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2867, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5598, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3033, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7335, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 68\t Loss: tensor(0.0168, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2830, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5602, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2915, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7413, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 69\t Loss: tensor(0.0144, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2793, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5606, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2797, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7487, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 70\t Loss: tensor(0.0122, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2757, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5608, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2682, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7559, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 71\t Loss: tensor(0.0103, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2721, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5611, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2568, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7626, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 72\t Loss: tensor(0.0088, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2687, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5612, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2459, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7691, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 73\t Loss: tensor(0.0075, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2653, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5614, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2353, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7751, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 74\t Loss: tensor(0.0065, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2619, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5614, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2253, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7808, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 75\t Loss: tensor(0.0057, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2587, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5614, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2160, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7861, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 76\t Loss: tensor(0.0052, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2556, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5613, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2074, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7910, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 77\t Loss: tensor(0.0050, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2525, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5611, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1996, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7955, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 78\t Loss: tensor(0.0049, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2496, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5609, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1928, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7995, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 79\t Loss: tensor(0.0049, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2468, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5606, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1870, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8032, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 80\t Loss: tensor(0.0051, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2441, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5602, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1822, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8064, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 81\t Loss: tensor(0.0053, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2415, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5597, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1785, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8093, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 82\t Loss: tensor(0.0055, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2390, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5592, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1759, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8118, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 83\t Loss: tensor(0.0056, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2366, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5586, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1744, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8139, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 84\t Loss: tensor(0.0057, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2344, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5580, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1739, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8156, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 85\t Loss: tensor(0.0057, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2322, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5573, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1743, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8170, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 86\t Loss: tensor(0.0057, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2302, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5565, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1757, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8181, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 87\t Loss: tensor(0.0055, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2282, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5557, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1778, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8189, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 88\t Loss: tensor(0.0053, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2263, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5548, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1805, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8194, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 89\t Loss: tensor(0.0051, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2245, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5539, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1838, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8197, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 90\t Loss: tensor(0.0048, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2228, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5529, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1875, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8198, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 91\t Loss: tensor(0.0045, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2211, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5519, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1915, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8196, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 92\t Loss: tensor(0.0042, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2195, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5509, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1956, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8193, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 93\t Loss: tensor(0.0039, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2179, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5499, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1998, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8189, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 94\t Loss: tensor(0.0037, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2164, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5488, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2039, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8183, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 95\t Loss: tensor(0.0035, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2150, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5477, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2079, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8177, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 96\t Loss: tensor(0.0033, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2135, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5466, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2118, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8170, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 97\t Loss: tensor(0.0031, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2121, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5455, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2153, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8162, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
       "Epoch: 98\t Loss: tensor(0.0029, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 99\t Loss: tensor(0.0028, grad_fn=<MseLossBackward>)\n"
+      "{'a': Parameter containing:\n",
+      "tensor(0.2107, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5444, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2186, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8153, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 99\t Loss: tensor(0.0028, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2094, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5433, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2215, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8145, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n"
      ]
     }
    ],
@@ -307,7 +578,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -327,61 +598,61 @@
       ]
      },
      "metadata": {},
-     "execution_count": 54
+     "execution_count": 11
     }
    ],
    "source": [
     "ode_solver_train.coeffs\n",
     "\n",
-    "# The coefficients differ by at most 0.1 from the original with the exception of \"w\". THe graphs look similar.\n",
+    "# \"b\", \"d\", \"g\" differ by at most 0.1. \"a\" differs by 0.1094.\n",
     "# TODO: Investigate why \"w\" isn't learning"
    ]
   },
   {
    "source": [
-    "# Re-calculate using 4th Order Runge-Kutta"
+    "# Predictions for nt = 10000"
    ],
    "cell_type": "markdown",
    "metadata": {}
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "output_type": "execute_result",
      "data": {
       "text/plain": [
-       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
-       "        [0.0000e+00, 8.1448e-03, 1.0000e-04],\n",
-       "        [8.1448e-05, 1.6272e-02, 2.0000e-04],\n",
+       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 0.0000e+00,  8.1448e-03,  1.0000e-04],\n",
+       "        [ 8.1448e-05,  1.6272e-02,  2.0000e-04],\n",
        "        ...,\n",
-       "        [7.2694e-01, 1.4097e-01, 9.9701e-02],\n",
-       "        [7.2835e-01, 1.4519e-01, 9.9801e-02],\n",
-       "        [7.2980e-01, 1.4939e-01, 9.9901e-02]], grad_fn=<StackBackward>)"
+       "        [ 1.0326e+00, -5.6420e-06,  9.9975e-01],\n",
+       "        [ 1.0326e+00, -5.0049e-06,  9.9985e-01],\n",
+       "        [ 1.0326e+00, -4.3689e-06,  9.9995e-01]], grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
-     "execution_count": 55
+     "execution_count": 14
     }
    ],
    "source": [
-    "results_test = ode_solver_train(1000)\n",
+    "results_test = ode_solver_train(10000)\n",
     "results_test"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T10:20:09.523266</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m359cf4dc54\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m359cf4dc54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(35.20304 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.33103\" xlink:href=\"#m359cf4dc54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(100.198218 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.326208\" xlink:href=\"#m359cf4dc54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(165.193396 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.321386\" xlink:href=\"#m359cf4dc54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(230.188574 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.316564\" xlink:href=\"#m359cf4dc54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(295.183752 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.311742\" xlink:href=\"#m359cf4dc54\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(360.17893 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"ma2819b17d2\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"229.972033\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 233.771252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"198.728066\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 202.527285)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"167.484099\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 171.283318)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"136.240132\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 140.039351)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"104.996165\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 108.795384)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"73.752198\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.2 -->\n      <g transform=\"translate(7.2 77.551417)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"42.508231\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 1.4 -->\n      <g transform=\"translate(7.2 46.30745)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma2819b17d2\" y=\"11.264264\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 1.6 -->\n      <g transform=\"translate(7.2 15.063483)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p764bff117d)\" d=\"M 46.335852 261.216 \nL 47.635756 261.13977 \nL 48.935659 260.861325 \nL 50.235562 260.382527 \nL 51.535465 259.705287 \nL 53.160344 258.582673 \nL 54.785225 257.157002 \nL 56.410105 255.432328 \nL 58.034986 253.412822 \nL 59.984841 250.60628 \nL 61.934693 247.38899 \nL 63.884545 243.768847 \nL 66.159372 239.047125 \nL 68.434199 233.801804 \nL 71.034002 227.184431 \nL 73.633805 219.924837 \nL 76.558583 211.021408 \nL 79.483361 201.376812 \nL 82.733114 189.84737 \nL 86.307843 176.263058 \nL 90.207547 160.50599 \nL 94.757202 141.148165 \nL 102.231635 108.163373 \nL 108.081191 82.757682 \nL 111.655919 68.14632 \nL 114.580697 57.058793 \nL 117.1805 48.063712 \nL 119.455328 40.991776 \nL 121.40518 35.606754 \nL 123.355032 30.910293 \nL 124.979908 27.561605 \nL 126.604785 24.755383 \nL 127.904686 22.916022 \nL 129.204588 21.447052 \nL 130.504489 20.355212 \nL 131.479415 19.786545 \nL 132.454341 19.433418 \nL 133.429267 19.296 \nL 134.404193 19.373601 \nL 135.379119 19.664788 \nL 136.354045 20.167326 \nL 137.328971 20.878216 \nL 138.628872 22.143639 \nL 139.928774 23.761947 \nL 141.228675 25.720271 \nL 142.853552 28.623499 \nL 144.478429 32.00202 \nL 146.428281 36.632445 \nL 148.378145 41.827234 \nL 150.653014 48.505223 \nL 153.252866 56.80718 \nL 156.50268 67.931654 \nL 161.3774 85.496229 \nL 169.176954 113.596023 \nL 173.07673 126.796592 \nL 176.326544 137.072628 \nL 179.251377 145.646907 \nL 182.176209 153.509691 \nL 184.776061 159.857999 \nL 187.05093 164.894457 \nL 189.3258 169.432065 \nL 191.60067 173.460347 \nL 193.550558 176.502204 \nL 195.500446 179.161575 \nL 197.450335 181.436897 \nL 199.400223 183.327755 \nL 201.02513 184.610269 \nL 202.650037 185.62717 \nL 204.274944 186.379794 \nL 205.899851 186.869873 \nL 207.524758 187.099507 \nL 209.149665 187.071168 \nL 210.774572 186.787663 \nL 212.399479 186.252149 \nL 214.024386 185.468098 \nL 215.649293 184.43933 \nL 217.2742 183.169996 \nL 219.224088 181.335598 \nL 221.173976 179.169742 \nL 223.123865 176.681691 \nL 225.398734 173.385231 \nL 227.673604 169.681574 \nL 230.273455 164.975215 \nL 232.873306 159.794746 \nL 235.798139 153.445153 \nL 239.047953 145.8109 \nL 242.622748 136.814757 \nL 246.847506 125.56145 \nL 253.672115 106.63208 \nL 259.846762 89.701717 \nL 263.746539 79.646697 \nL 266.671371 72.655249 \nL 269.271222 66.954066 \nL 271.546092 62.434225 \nL 273.820962 58.409546 \nL 275.77085 55.39188 \nL 277.720738 52.802353 \nL 279.345645 50.988525 \nL 280.970552 49.499534 \nL 282.595459 48.344023 \nL 283.895385 47.663935 \nL 285.19531 47.203113 \nL 286.495236 46.962319 \nL 287.795162 46.941108 \nL 289.095087 47.137988 \nL 290.395013 47.550261 \nL 291.694938 48.174145 \nL 293.319845 49.24414 \nL 294.944752 50.625546 \nL 296.569659 52.304397 \nL 298.519547 54.689054 \nL 300.469436 57.447881 \nL 302.744306 61.093658 \nL 305.344157 65.751644 \nL 308.268989 71.508341 \nL 311.843785 79.097658 \nL 317.043487 90.752846 \nL 325.168022 108.951138 \nL 329.067798 117.124765 \nL 332.317612 123.461006 \nL 335.242445 128.71523 \nL 337.842296 132.984129 \nL 340.442147 136.843185 \nL 342.717017 139.864119 \nL 344.991886 142.539088 \nL 347.266756 144.857801 \nL 349.216645 146.555851 \nL 351.166533 147.983144 \nL 353.116421 149.137556 \nL 355.06631 150.018147 \nL 357.016198 150.625057 \nL 358.966086 150.959505 \nL 360.590993 151.031622 \nL 362.540882 150.872955 \nL 364.49077 150.450561 \nL 366.440658 149.7693 \nL 368.390547 148.834982 \nL 370.340435 147.654255 \nL 370.990398 147.207214 \nL 370.990398 147.207214 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p764bff117d\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T16:08:44.192500</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m5af7b3266c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m5af7b3266c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.0 -->\n      <g transform=\"translate(38.38429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.269776\" xlink:href=\"#m5af7b3266c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.2 -->\n      <g transform=\"translate(103.318214 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.2037\" xlink:href=\"#m5af7b3266c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.4 -->\n      <g transform=\"translate(168.252138 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.137625\" xlink:href=\"#m5af7b3266c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.6 -->\n      <g transform=\"translate(233.186062 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.071549\" xlink:href=\"#m5af7b3266c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.8 -->\n      <g transform=\"translate(298.119986 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.005473\" xlink:href=\"#m5af7b3266c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1.0 -->\n      <g transform=\"translate(363.05391 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m8ae5715d4e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"229.972033\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 233.771252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"198.728066\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 202.527285)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"167.484099\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 171.283318)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"136.240132\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 140.039351)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"104.996165\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 108.795384)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"73.752198\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.2 -->\n      <g transform=\"translate(7.2 77.551417)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"42.508231\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 1.4 -->\n      <g transform=\"translate(7.2 46.30745)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"11.264264\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 1.6 -->\n      <g transform=\"translate(7.2 15.063483)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p3943b3fbd4)\" d=\"M 46.335852 261.216 \nL 46.46572 261.13977 \nL 46.660522 260.646852 \nL 46.952724 259.068309 \nL 47.342328 255.432328 \nL 47.829332 248.506576 \nL 48.446204 236.113015 \nL 49.192942 216.06193 \nL 50.102016 185.011489 \nL 51.303291 135.476118 \nL 53.381173 49.137785 \nL 54.062979 30.198378 \nL 54.549982 22.134756 \nL 54.874651 19.644862 \nL 55.069453 19.29803 \nL 55.166853 19.447031 \nL 55.329188 20.167326 \nL 55.588923 22.515612 \nL 55.946059 28.003731 \nL 56.46553 40.037298 \nL 57.212282 63.401254 \nL 59.972021 155.154685 \nL 60.751241 171.796841 \nL 61.368124 180.721174 \nL 61.855137 185.048837 \nL 62.244747 186.792765 \nL 62.472019 187.114391 \nL 62.634357 187.034783 \nL 62.829162 186.603511 \nL 63.12137 185.281795 \nL 63.51098 182.294778 \nL 63.997992 176.681691 \nL 64.614875 166.797471 \nL 65.394095 150.460124 \nL 66.497991 122.001235 \nL 68.575911 67.637022 \nL 69.290197 54.929866 \nL 69.809677 49.241514 \nL 70.16682 47.297698 \nL 70.394092 46.924328 \nL 70.523962 47.012433 \nL 70.718767 47.550261 \nL 71.010975 49.24414 \nL 71.400585 53.055717 \nL 71.920065 60.546687 \nL 72.666818 74.895485 \nL 75.621362 135.445754 \nL 76.335647 144.232166 \nL 76.887594 148.594542 \nL 77.309672 150.453112 \nL 77.60188 150.988892 \nL 77.796685 151.008297 \nL 77.99149 150.761237 \nL 78.25123 150.024805 \nL 78.608373 148.274964 \nL 79.095385 144.584873 \nL 79.712268 137.95333 \nL 80.523956 126.484231 \nL 81.822656 104.318815 \nL 83.283694 80.440403 \nL 84.030447 71.608141 \nL 84.582395 67.405857 \nL 84.972005 65.797661 \nL 85.264212 65.359279 \nL 85.42655 65.400585 \nL 85.621355 65.715125 \nL 85.913563 66.714539 \nL 86.303173 68.97716 \nL 86.822653 73.461097 \nL 87.536936 81.754636 \nL 88.965506 101.701428 \nL 90.166804 117.035329 \nL 90.946025 124.440261 \nL 91.562907 128.416957 \nL 92.04992 130.272334 \nL 92.407063 130.895855 \nL 92.634335 130.969052 \nL 92.861608 130.794034 \nL 93.153815 130.212089 \nL 93.543426 128.834752 \nL 94.030438 126.210251 \nL 94.679788 121.339546 \nL 95.556411 112.863893 \nL 98.413552 83.709068 \nL 99.062903 79.841678 \nL 99.549915 78.143628 \nL 99.907058 77.59822 \nL 100.13433 77.562818 \nL 100.361603 77.766887 \nL 100.653811 78.371553 \nL 101.043421 79.745193 \nL 101.562901 82.480909 \nL 102.277186 87.585229 \nL 103.510952 98.352573 \nL 104.907055 109.957694 \nL 105.718742 114.963536 \nL 106.335625 117.525808 \nL 106.822638 118.706935 \nL 107.17978 119.086832 \nL 107.439521 119.105231 \nL 107.731728 118.870881 \nL 108.088871 118.229231 \nL 108.543416 116.879586 \nL 109.127831 114.3582 \nL 109.907051 109.891602 \nL 111.270687 100.461053 \nL 112.601855 91.82327 \nL 113.348608 88.274554 \nL 113.933023 86.45918 \nL 114.387568 85.705475 \nL 114.712243 85.532283 \nL 115.004451 85.635435 \nL 115.329126 86.029979 \nL 115.751203 86.959129 \nL 116.303151 88.808453 \nL 117.049904 92.214759 \nL 118.381072 99.594997 \nL 119.71224 106.495417 \nL 120.49146 109.468826 \nL 121.108343 111.030846 \nL 121.595356 111.71598 \nL 121.984966 111.905915 \nL 122.309641 111.822848 \nL 122.666783 111.485336 \nL 123.121329 110.702897 \nL 123.673276 109.273025 \nL 124.420029 106.654893 \nL 125.621327 101.465961 \nL 127.179768 94.919804 \nL 127.958915 92.533694 \nL 128.543243 91.3547 \nL 129.030184 90.824433 \nL 129.419736 90.706978 \nL 129.776825 90.836798 \nL 130.166377 91.227469 \nL 130.653317 92.053541 \nL 131.302571 93.654362 \nL 132.211526 96.57355 \nL 134.646226 104.690173 \nL 135.392868 106.30943 \nL 135.977196 107.097382 \nL 136.464136 107.406484 \nL 136.886151 107.415674 \nL 137.308165 107.190664 \nL 137.795105 106.657119 \nL 138.411896 105.606641 \nL 139.223463 103.722473 \nL 140.781671 99.364744 \nL 141.98279 96.34285 \nL 142.761894 94.95122 \nL 143.346223 94.307763 \nL 143.833163 94.059968 \nL 144.28764 94.069354 \nL 144.742118 94.304244 \nL 145.293983 94.86954 \nL 145.975699 95.928715 \nL 146.917117 97.849421 \nL 149.319355 102.919698 \nL 150.098459 103.979711 \nL 150.71525 104.478059 \nL 151.267115 104.648067 \nL 151.786518 104.569385 \nL 152.338383 104.244845 \nL 152.987637 103.579934 \nL 153.831666 102.356208 \nL 155.422337 99.539315 \nL 156.655919 97.583859 \nL 157.467486 96.691172 \nL 158.116739 96.281972 \nL 158.701067 96.166492 \nL 159.252933 96.276944 \nL 159.869724 96.635583 \nL 160.616365 97.35193 \nL 161.655171 98.70015 \nL 163.96002 101.783294 \nL 164.80405 102.505693 \nL 165.518229 102.834182 \nL 166.167482 102.890479 \nL 166.816736 102.720676 \nL 167.530915 102.298868 \nL 168.439869 101.482423 \nL 170.225316 99.482776 \nL 171.458898 98.292384 \nL 172.33539 97.747889 \nL 173.082032 97.539741 \nL 173.796211 97.572462 \nL 174.542852 97.834802 \nL 175.419344 98.389074 \nL 176.750314 99.534696 \nL 178.568224 101.056854 \nL 179.542104 101.57915 \nL 180.386133 101.781432 \nL 181.1977 101.742249 \nL 182.04173 101.4757 \nL 183.080535 100.899602 \nL 186.813743 98.581522 \nL 187.722698 98.399726 \nL 188.631652 98.448816 \nL 189.605533 98.73423 \nL 190.871577 99.359827 \nL 193.630904 100.791087 \nL 194.702172 101.05637 \nL 195.708515 101.077581 \nL 196.779784 100.868558 \nL 198.110753 100.364754 \nL 201.162244 99.129426 \nL 202.330901 98.947778 \nL 203.467094 99.000928 \nL 204.733139 99.291761 \nL 209.537876 100.643017 \nL 210.804297 100.604877 \nL 212.265553 100.323989 \nL 216.64932 99.310868 \nL 218.078103 99.323829 \nL 219.701721 99.575424 \nL 223.955599 100.357175 \nL 225.546744 100.337192 \nL 227.462613 100.072636 \nL 231.067043 99.536391 \nL 232.853023 99.539464 \nL 235.02867 99.786365 \nL 238.503211 100.183181 \nL 240.516497 100.156085 \nL 243.439009 99.85283 \nL 246.199158 99.653659 \nL 248.504695 99.726083 \nL 254.771859 100.073995 \nL 258.181455 99.86136 \nL 261.461163 99.740088 \nL 264.708397 99.872403 \nL 268.929803 100.014533 \nL 272.923902 99.869125 \nL 276.885529 99.804485 \nL 287.568932 99.878195 \nL 292.472256 99.851043 \nL 301.239791 99.901976 \nL 308.188874 99.880951 \nL 316.404378 99.89272 \nL 324.749772 99.903 \nL 335.628009 99.879368 \nL 370.990398 99.8984 \nL 370.990398 99.8984 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p3943b3fbd4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     }
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
index f4e10516..64792cff 100644
--- a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -53,7 +53,7 @@
   },
   {
    "source": [
-    "# 4th Order Runge-Kutta - Data Generation"
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
    ],
    "cell_type": "markdown",
    "metadata": {}
@@ -300,14 +300,14 @@
   },
   {
    "source": [
-    "# Re-calculate using 4th Order Runge-Kutta"
+    "# Predictions for nt = 10000"
    ],
    "cell_type": "markdown",
    "metadata": {}
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -318,31 +318,31 @@
        "        [0.0000e+00, 7.7911e-03, 1.0000e-04],\n",
        "        [7.7911e-05, 1.5566e-02, 2.0000e-04],\n",
        "        ...,\n",
-       "        [7.4635e-01, 1.0293e-01, 9.9701e-02],\n",
-       "        [7.4738e-01, 1.0790e-01, 9.9801e-02],\n",
-       "        [7.4846e-01, 1.1286e-01, 9.9901e-02]], grad_fn=<StackBackward>)"
+       "        [1.1139e+00, 5.0133e-05, 9.9975e-01],\n",
+       "        [1.1139e+00, 5.1647e-05, 9.9985e-01],\n",
+       "        [1.1139e+00, 5.3148e-05, 9.9995e-01]], grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
-     "execution_count": 11
+     "execution_count": 13
     }
    ],
    "source": [
-    "results_test = ode_solver_train(1000)\n",
+    "results_test = ode_solver_train(10000)\n",
     "results_test"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T14:57:57.414636</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m151ec6510d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m151ec6510d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(41.56554 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.69353\" xlink:href=\"#m151ec6510d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(106.560718 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.688708\" xlink:href=\"#m151ec6510d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(171.555896 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.683886\" xlink:href=\"#m151ec6510d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(236.551074 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.679064\" xlink:href=\"#m151ec6510d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(301.546252 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.674242\" xlink:href=\"#m151ec6510d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(366.54143 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mebf1341be0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mebf1341be0\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mebf1341be0\" y=\"224.761049\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.560267)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mebf1341be0\" y=\"188.306097\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 192.105316)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mebf1341be0\" y=\"151.851146\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 155.650365)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mebf1341be0\" y=\"115.396194\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 119.195413)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mebf1341be0\" y=\"78.941243\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 82.740462)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mebf1341be0\" y=\"42.486292\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 46.28551)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p045ded5504)\" d=\"M 52.698352 261.216 \nL 53.998256 261.147926 \nL 55.298159 260.899184 \nL 56.923038 260.33645 \nL 58.547917 259.496649 \nL 60.172796 258.382707 \nL 61.797677 256.997565 \nL 63.422557 255.344181 \nL 65.372414 253.010232 \nL 67.322267 250.299483 \nL 69.272119 247.217174 \nL 71.546946 243.158635 \nL 73.821773 238.610249 \nL 76.096601 233.580976 \nL 78.696404 227.256502 \nL 81.296206 220.331398 \nL 84.220984 211.843681 \nL 87.145762 202.644549 \nL 90.395516 191.628894 \nL 93.645269 179.830796 \nL 97.219998 166.033336 \nL 101.444677 148.783415 \nL 106.644283 126.533574 \nL 118.018419 77.4884 \nL 121.593148 63.297727 \nL 124.517926 52.633349 \nL 126.792754 45.096204 \nL 129.067581 38.345052 \nL 131.017433 33.264553 \nL 132.64231 29.575569 \nL 134.267186 26.415378 \nL 135.567088 24.286194 \nL 136.866989 22.524194 \nL 138.16689 21.138623 \nL 139.466792 20.136315 \nL 140.441718 19.638759 \nL 141.416644 19.360109 \nL 142.39157 19.300381 \nL 143.366496 19.458758 \nL 144.341422 19.833606 \nL 145.316348 20.422423 \nL 146.291274 21.221923 \nL 147.591175 22.608571 \nL 148.891077 24.350825 \nL 150.190978 26.434864 \nL 151.815855 29.496284 \nL 153.440731 33.032263 \nL 155.390608 37.847861 \nL 157.665477 44.16494 \nL 160.265328 52.159869 \nL 163.190161 61.92509 \nL 167.089938 75.790039 \nL 179.764212 121.523841 \nL 183.339007 133.283153 \nL 186.588821 143.197008 \nL 189.513654 151.399108 \nL 192.113505 158.069672 \nL 194.713356 164.125926 \nL 196.988226 168.90429 \nL 199.263095 173.18569 \nL 201.537965 176.963119 \nL 203.487853 179.796456 \nL 205.437742 182.254996 \nL 207.38763 184.33841 \nL 209.012537 185.788498 \nL 210.637444 186.979308 \nL 212.262351 187.912023 \nL 213.887258 188.588116 \nL 215.512165 189.009364 \nL 217.137072 189.177811 \nL 218.761979 189.095776 \nL 220.386886 188.765823 \nL 222.011793 188.19076 \nL 223.6367 187.373669 \nL 225.261607 186.31783 \nL 226.886514 185.026832 \nL 228.836402 183.172658 \nL 230.78629 180.992603 \nL 232.736179 178.494524 \nL 235.011048 175.189645 \nL 237.285918 171.478628 \nL 239.885769 166.761687 \nL 242.48562 161.564217 \nL 245.410453 155.182464 \nL 248.660267 147.489132 \nL 252.235062 138.39044 \nL 256.45982 126.953028 \nL 262.309485 110.359414 \nL 270.43402 87.336556 \nL 274.333797 77.002596 \nL 277.258629 69.833137 \nL 279.85848 64.005426 \nL 282.13335 59.405308 \nL 284.40822 55.333619 \nL 286.358108 52.30533 \nL 287.983015 50.13029 \nL 289.607922 48.288015 \nL 291.232829 46.790793 \nL 292.532755 45.84797 \nL 293.83268 45.13575 \nL 295.132606 44.656412 \nL 296.432531 44.411015 \nL 297.732457 44.399369 \nL 299.032382 44.619942 \nL 300.332308 45.070008 \nL 301.632234 45.745479 \nL 302.932159 46.641212 \nL 304.557066 48.060783 \nL 306.181973 49.799751 \nL 307.80688 51.841046 \nL 309.756768 54.66251 \nL 311.706657 57.855138 \nL 313.981526 61.996395 \nL 316.581378 67.197498 \nL 319.831191 74.251967 \nL 324.05595 84.034189 \nL 336.405242 113.022466 \nL 339.980038 120.682979 \nL 343.229852 127.123017 \nL 346.154684 132.421031 \nL 348.754535 136.693165 \nL 351.354386 140.525255 \nL 353.629256 143.500256 \nL 355.904126 146.110576 \nL 358.178996 148.347717 \nL 360.128884 149.963657 \nL 362.078772 151.298547 \nL 364.028661 152.3511 \nL 365.978549 153.121049 \nL 367.603456 153.547308 \nL 369.228363 153.778738 \nL 370.85327 153.816711 \nL 372.478177 153.663001 \nL 374.103084 153.319798 \nL 376.052972 152.661536 \nL 377.352898 152.075761 \nL 377.352898 152.075761 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p045ded5504\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:50:35.658662</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m7145a53023\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m7145a53023\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.0 -->\n      <g transform=\"translate(44.74679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.632276\" xlink:href=\"#m7145a53023\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.2 -->\n      <g transform=\"translate(109.680714 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.5662\" xlink:href=\"#m7145a53023\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.4 -->\n      <g transform=\"translate(174.614638 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.500125\" xlink:href=\"#m7145a53023\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.6 -->\n      <g transform=\"translate(239.548562 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.434049\" xlink:href=\"#m7145a53023\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.8 -->\n      <g transform=\"translate(304.482486 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.367973\" xlink:href=\"#m7145a53023\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1.0 -->\n      <g transform=\"translate(369.41641 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m9f9adb6335\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m9f9adb6335\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m9f9adb6335\" y=\"224.761049\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.560267)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m9f9adb6335\" y=\"188.306097\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 192.105316)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m9f9adb6335\" y=\"151.851146\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 155.650365)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m9f9adb6335\" y=\"115.396194\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 119.195413)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m9f9adb6335\" y=\"78.941243\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 82.740462)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m9f9adb6335\" y=\"42.486292\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 46.28551)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p8738794e28)\" d=\"M 52.698352 261.216 \nL 52.82822 261.147926 \nL 53.023022 260.707525 \nL 53.315224 259.295698 \nL 53.704828 256.037533 \nL 54.191832 249.811425 \nL 54.776237 239.289673 \nL 55.490509 222.1181 \nL 56.334648 196.132431 \nL 57.373589 156.858289 \nL 60.425479 35.718904 \nL 60.977416 24.286194 \nL 61.367019 20.136315 \nL 61.594287 19.315904 \nL 61.691688 19.32901 \nL 61.821556 19.684738 \nL 62.048824 21.221923 \nL 62.373493 25.351064 \nL 62.82803 34.571082 \nL 63.444912 52.159869 \nL 64.548808 91.301722 \nL 66.042313 142.242208 \nL 66.918936 164.838624 \nL 67.633221 177.949148 \nL 68.217637 184.949617 \nL 68.672182 188.067714 \nL 68.996857 189.063208 \nL 69.191662 189.174916 \nL 69.353999 188.993394 \nL 69.581272 188.32524 \nL 69.905947 186.547929 \nL 70.328025 182.831741 \nL 70.879973 175.687001 \nL 71.56179 163.567652 \nL 72.405946 144.251648 \nL 73.672179 109.425716 \nL 75.263087 66.848585 \nL 75.977372 53.265276 \nL 76.496852 47.062125 \nL 76.853995 44.866869 \nL 77.081267 44.386227 \nL 77.211137 44.432831 \nL 77.373475 44.81651 \nL 77.633215 46.166184 \nL 77.990358 49.427197 \nL 78.47737 56.214819 \nL 79.159188 69.257027 \nL 80.457888 99.543994 \nL 81.756589 127.736066 \nL 82.568277 140.972191 \nL 83.217627 148.347717 \nL 83.737107 152.03166 \nL 84.126717 153.47768 \nL 84.386457 153.817059 \nL 84.548795 153.778112 \nL 84.7436 153.479662 \nL 85.035808 152.526018 \nL 85.425418 150.338375 \nL 85.91243 146.208739 \nL 86.529313 138.956546 \nL 87.341001 126.560892 \nL 88.639701 102.722142 \nL 90.068272 77.620842 \nL 90.815025 68.142094 \nL 91.366972 63.707793 \nL 91.756583 62.086509 \nL 92.016323 61.728122 \nL 92.17866 61.798158 \nL 92.373465 62.176918 \nL 92.665673 63.331554 \nL 93.055283 65.902928 \nL 93.574761 70.950678 \nL 94.321514 80.678838 \nL 97.470862 124.783672 \nL 98.120212 129.905734 \nL 98.639693 132.44581 \nL 99.029303 133.411075 \nL 99.289043 133.606209 \nL 99.483848 133.519545 \nL 99.743588 133.098354 \nL 100.068263 132.093247 \nL 100.522808 129.834864 \nL 101.107223 125.598234 \nL 101.853976 118.359496 \nL 102.990339 104.81941 \nL 104.711117 84.53649 \nL 105.45787 78.239627 \nL 106.009818 75.225524 \nL 106.431895 73.992229 \nL 106.724103 73.704592 \nL 106.918908 73.770491 \nL 107.146181 74.103846 \nL 107.470856 75.043853 \nL 107.892933 77.028357 \nL 108.477349 81.011272 \nL 109.289036 88.288905 \nL 112.016307 114.086171 \nL 112.698125 118.111692 \nL 113.250073 120.196531 \nL 113.67215 121.039358 \nL 113.964358 121.236743 \nL 114.224098 121.149236 \nL 114.516306 120.76082 \nL 114.905916 119.782344 \nL 115.392929 117.866807 \nL 116.009811 114.466739 \nL 116.853967 108.454507 \nL 119.80851 86.143955 \nL 120.425393 83.500858 \nL 120.912406 82.291205 \nL 121.269548 81.926334 \nL 121.529288 81.940919 \nL 121.789028 82.187602 \nL 122.146171 82.892312 \nL 122.600716 84.358296 \nL 123.217599 87.224035 \nL 124.094222 92.535277 \nL 126.561753 108.15152 \nL 127.276038 111.117055 \nL 127.827986 112.606106 \nL 128.282531 113.265429 \nL 128.607206 113.416836 \nL 128.899413 113.327261 \nL 129.224089 112.982746 \nL 129.646166 112.166593 \nL 130.165646 110.636986 \nL 130.847464 107.883855 \nL 131.853957 102.760802 \nL 133.931863 92.00379 \nL 134.678505 89.349742 \nL 135.23037 88.095848 \nL 135.652385 87.589149 \nL 136.009474 87.475759 \nL 136.334101 87.621725 \nL 136.69119 88.046985 \nL 137.145668 88.962534 \nL 137.729996 90.67807 \nL 138.541563 93.815106 \nL 141.430741 105.68274 \nL 142.112457 107.327023 \nL 142.63186 108.079536 \nL 143.053875 108.354467 \nL 143.410964 108.350069 \nL 143.800516 108.102882 \nL 144.254993 107.51064 \nL 144.806859 106.392074 \nL 145.521038 104.40604 \nL 146.624769 100.581607 \nL 148.377753 94.552496 \nL 149.156857 92.636777 \nL 149.741185 91.705913 \nL 150.228125 91.303791 \nL 150.617677 91.234884 \nL 151.00723 91.388272 \nL 151.461707 91.835087 \nL 152.013572 92.728873 \nL 152.727751 94.352782 \nL 153.863945 97.590154 \nL 155.519541 102.228845 \nL 156.331108 103.869964 \nL 156.947899 104.680032 \nL 157.467302 105.034282 \nL 157.921779 105.091073 \nL 158.376256 104.915451 \nL 158.895659 104.446091 \nL 159.51245 103.557451 \nL 160.324017 101.956974 \nL 161.882225 98.246261 \nL 163.083344 95.67626 \nL 163.862448 94.500017 \nL 164.479239 93.943115 \nL 164.998642 93.756543 \nL 165.485582 93.819157 \nL 166.004985 94.128871 \nL 166.621776 94.789688 \nL 167.40088 95.988634 \nL 168.699387 98.479576 \nL 170.160207 101.142438 \nL 171.004237 102.236302 \nL 171.65349 102.750389 \nL 172.237818 102.942542 \nL 172.789684 102.885195 \nL 173.374012 102.583164 \nL 174.055728 101.95228 \nL 174.93222 100.800078 \nL 178.243413 96.080868 \nL 178.957592 95.59814 \nL 179.574382 95.437816 \nL 180.158711 95.509556 \nL 180.807964 95.8297 \nL 181.554606 96.465799 \nL 182.593411 97.681415 \nL 184.995649 100.593915 \nL 185.839678 101.225963 \nL 186.553857 101.496861 \nL 187.235573 101.51414 \nL 187.91729 101.303022 \nL 188.696394 100.816244 \nL 189.702737 99.90252 \nL 192.591915 97.11803 \nL 193.435944 96.692196 \nL 194.182586 96.557912 \nL 194.929227 96.656752 \nL 195.740794 97.00497 \nL 196.747137 97.703665 \nL 200.155718 100.294283 \nL 201.03221 100.564051 \nL 201.843777 100.584058 \nL 202.687806 100.378695 \nL 203.661686 99.903946 \nL 205.219895 98.850375 \nL 206.907954 97.790268 \nL 207.914297 97.413212 \nL 208.823251 97.304255 \nL 209.732206 97.421868 \nL 210.771012 97.794961 \nL 212.296757 98.617998 \nL 214.212055 99.604644 \nL 215.315873 99.921433 \nL 216.322516 99.979597 \nL 217.361631 99.810042 \nL 218.595581 99.370928 \nL 222.264956 97.911654 \nL 223.369016 97.800524 \nL 224.505548 97.915548 \nL 225.836915 98.288449 \nL 229.668652 99.507507 \nL 230.902601 99.573598 \nL 232.169023 99.416611 \nL 233.857585 98.962617 \nL 236.520318 98.250641 \nL 237.916629 98.130055 \nL 239.31294 98.239951 \nL 241.131391 98.630062 \nL 243.956486 99.230821 \nL 245.482686 99.305099 \nL 247.073831 99.152406 \nL 252.853909 98.353775 \nL 254.639889 98.513925 \nL 259.802992 99.129808 \nL 261.751333 99.014767 \nL 267.531411 98.499515 \nL 269.836948 98.666288 \nL 274.090826 99.010073 \nL 276.461308 98.924861 \nL 282.273858 98.597051 \nL 285.423676 98.778757 \nL 289.028107 98.932997 \nL 292.177925 98.81128 \nL 296.626637 98.655771 \nL 300.588263 98.807178 \nL 304.452473 98.872486 \nL 315.070931 98.795044 \nL 319.811894 98.828646 \nL 328.644373 98.768448 \nL 335.23626 98.799529 \nL 343.549182 98.776862 \nL 351.180184 98.77681 \nL 359.720412 98.791377 \nL 375.72928 98.791672 \nL 377.352898 98.79089 \nL 377.352898 98.79089 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p8738794e28\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     }
diff --git a/examples/ode/SEIR/SEIRTest_fit.ipynb b/examples/ode/SEIR/SEIRTest_fit.ipynb
index 0b430b81..784a8cfc 100644
--- a/examples/ode/SEIR/SEIRTest_fit.ipynb
+++ b/examples/ode/SEIR/SEIRTest_fit.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -25,7 +25,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -55,24 +55,16 @@
   },
   {
    "source": [
-    "# 4th Order Runge-Kutta - Data Generation"
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
    ],
    "cell_type": "markdown",
    "metadata": {}
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Coeffs:  {'a': Parameter containing:\ntensor(0.1000, requires_grad=True), 'g1': Parameter containing:\ntensor(0.3000, requires_grad=True), 'g2': Parameter containing:\ntensor(0.2000, requires_grad=True)}\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "ode_solver = ODESolver(\n",
     "    ode=ode,\n",
@@ -89,7 +81,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -107,7 +99,7 @@
       ]
      },
      "metadata": {},
-     "execution_count": 5
+     "execution_count": 6
     }
    ],
    "source": [
@@ -116,14 +108,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T09:35:36.759060</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mc010e63896\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#mc010e63896\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#mc010e63896\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#mc010e63896\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#mc010e63896\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#mc010e63896\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#mc010e63896\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m42bcb7f451\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m42bcb7f451\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m42bcb7f451\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m42bcb7f451\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m42bcb7f451\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m42bcb7f451\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pb4c11c1a1a)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pb4c11c1a1a)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pb4c11c1a1a)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pb4c11c1a1a)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb4c11c1a1a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:52:57.564743</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"md0b30dfe9d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#md0b30dfe9d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#md0b30dfe9d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#md0b30dfe9d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#md0b30dfe9d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#md0b30dfe9d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#md0b30dfe9d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mfd82245128\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfd82245128\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfd82245128\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfd82245128\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfd82245128\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfd82245128\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p0928db68d9)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p0928db68d9)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p0928db68d9)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p0928db68d9)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p0928db68d9\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -152,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -170,14 +162,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T09:37:56.990785</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m70ef99b495\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m70ef99b495\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m70ef99b495\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m70ef99b495\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m70ef99b495\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m70ef99b495\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m70ef99b495\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"ma4e9bd705c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma4e9bd705c\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma4e9bd705c\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma4e9bd705c\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma4e9bd705c\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#ma4e9bd705c\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p280aba639f)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p280aba639f)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p280aba639f)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p280aba639f)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p280aba639f\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:52:59.294617</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m0254b50be5\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m0254b50be5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m0254b50be5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m0254b50be5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m0254b50be5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m0254b50be5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m0254b50be5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mc5f02c7f37\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mc5f02c7f37\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mc5f02c7f37\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mc5f02c7f37\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mc5f02c7f37\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mc5f02c7f37\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p0c08caf73a)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p0c08caf73a)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p0c08caf73a)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p0c08caf73a)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p0c08caf73a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -200,105 +192,449 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
+   "execution_count": 11,
+   "metadata": {
+    "tags": [
+     "outputPrepend"
+    ]
+   },
    "outputs": [
     {
      "output_type": "stream",
      "name": "stdout",
      "text": [
-      "n:  1000\n",
-      "Epoch: 0\t Loss: tensor(0.1190, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 1\t Loss: tensor(0.0977, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 2\t Loss: tensor(0.0801, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 3\t Loss: tensor(0.0658, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 4\t Loss: tensor(0.0546, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 5\t Loss: tensor(0.0456, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 6\t Loss: tensor(0.0384, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 7\t Loss: tensor(0.0323, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 8\t Loss: tensor(0.0272, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 9\t Loss: tensor(0.0228, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 10\t Loss: tensor(0.0191, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 11\t Loss: tensor(0.0158, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 12\t Loss: tensor(0.0131, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 13\t Loss: tensor(0.0108, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 14\t Loss: tensor(0.0089, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 15\t Loss: tensor(0.0074, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 16\t Loss: tensor(0.0062, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 17\t Loss: tensor(0.0053, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 18\t Loss: tensor(0.0046, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 19\t Loss: tensor(0.0041, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 20\t Loss: tensor(0.0037, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 21\t Loss: tensor(0.0034, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 22\t Loss: tensor(0.0032, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 23\t Loss: tensor(0.0030, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 24\t Loss: tensor(0.0028, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 25\t Loss: tensor(0.0027, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 26\t Loss: tensor(0.0025, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 27\t Loss: tensor(0.0023, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 28\t Loss: tensor(0.0021, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 29\t Loss: tensor(0.0019, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 30\t Loss: tensor(0.0017, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 31\t Loss: tensor(0.0015, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 32\t Loss: tensor(0.0013, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 33\t Loss: tensor(0.0011, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 34\t Loss: tensor(0.0010, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 35\t Loss: tensor(0.0009, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 36\t Loss: tensor(0.0009, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 37\t Loss: tensor(0.0008, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 38\t Loss: tensor(0.0008, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 39\t Loss: tensor(0.0008, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 40\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 41\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 42\t Loss: tensor(0.0006, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 43\t Loss: tensor(0.0006, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 44\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 45\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 46\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 47\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 48\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "Epoch: 49\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n"
+      "(0.0946, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0790, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1974, requires_grad=True)}\n",
+      "Epoch: 22\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0962, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0861, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1959, requires_grad=True)}\n",
+      "Epoch: 23\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0979, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0930, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1945, requires_grad=True)}\n",
+      "Epoch: 24\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0997, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1937, requires_grad=True)}\n",
+      "Epoch: 25\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1003, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1062, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1934, requires_grad=True)}\n",
+      "Epoch: 26\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1007, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1124, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1938, requires_grad=True)}\n",
+      "Epoch: 27\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1006, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1185, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1947, requires_grad=True)}\n",
+      "Epoch: 28\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1000, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1243, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1960, requires_grad=True)}\n",
+      "Epoch: 29\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0991, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1300, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1974, requires_grad=True)}\n",
+      "Epoch: 30\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0981, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1355, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1987, requires_grad=True)}\n",
+      "Epoch: 31\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0972, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1408, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1997, requires_grad=True)}\n",
+      "Epoch: 32\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0965, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1460, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.2003, requires_grad=True)}\n",
+      "Epoch: 33\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0963, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1510, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.2003, requires_grad=True)}\n",
+      "Epoch: 34\t Loss: tensor(9.7682e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0964, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1558, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1999, requires_grad=True)}\n",
+      "Epoch: 35\t Loss: tensor(8.8802e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0969, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1604, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1992, requires_grad=True)}\n",
+      "Epoch: 36\t Loss: tensor(7.8842e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0977, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1649, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1983, requires_grad=True)}\n",
+      "Epoch: 37\t Loss: tensor(7.0494e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0985, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1692, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1974, requires_grad=True)}\n",
+      "Epoch: 38\t Loss: tensor(6.5258e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1734, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1968, requires_grad=True)}\n",
+      "Epoch: 39\t Loss: tensor(6.2502e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1774, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1965, requires_grad=True)}\n",
+      "Epoch: 40\t Loss: tensor(6.0217e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1000, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1813, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1966, requires_grad=True)}\n",
+      "Epoch: 41\t Loss: tensor(5.6671e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1000, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1850, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1970, requires_grad=True)}\n",
+      "Epoch: 42\t Loss: tensor(5.1608e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1886, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1977, requires_grad=True)}\n",
+      "Epoch: 43\t Loss: tensor(4.6179e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0992, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1921, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1985, requires_grad=True)}\n",
+      "Epoch: 44\t Loss: tensor(4.1837e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0986, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1954, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1992, requires_grad=True)}\n",
+      "Epoch: 45\t Loss: tensor(3.9211e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0982, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1987, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1998, requires_grad=True)}\n",
+      "Epoch: 46\t Loss: tensor(3.7724e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0980, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2018, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.2000, requires_grad=True)}\n",
+      "Epoch: 47\t Loss: tensor(3.6195e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0980, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2048, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.2000, requires_grad=True)}\n",
+      "Epoch: 48\t Loss: tensor(3.3819e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0982, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2077, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1997, requires_grad=True)}\n",
+      "Epoch: 49\t Loss: tensor(3.0734e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0986, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2105, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1992, requires_grad=True)}\n",
+      "Epoch: 50\t Loss: tensor(2.7764e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0990, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2132, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1987, requires_grad=True)}\n",
+      "Epoch: 51\t Loss: tensor(2.5636e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0994, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2158, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1983, requires_grad=True)}\n",
+      "Epoch: 52\t Loss: tensor(2.4411e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2183, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1980, requires_grad=True)}\n",
+      "Epoch: 53\t Loss: tensor(2.3517e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2208, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1980, requires_grad=True)}\n",
+      "Epoch: 54\t Loss: tensor(2.2311e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2231, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1981, requires_grad=True)}\n",
+      "Epoch: 55\t Loss: tensor(2.0608e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2254, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1985, requires_grad=True)}\n",
+      "Epoch: 56\t Loss: tensor(1.8757e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2276, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1989, requires_grad=True)}\n",
+      "Epoch: 57\t Loss: tensor(1.7251e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0991, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2297, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1994, requires_grad=True)}\n",
+      "Epoch: 58\t Loss: tensor(1.6295e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0989, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2317, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1997, requires_grad=True)}\n",
+      "Epoch: 59\t Loss: tensor(1.5658e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0988, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2337, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1998, requires_grad=True)}\n",
+      "Epoch: 60\t Loss: tensor(1.4947e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0989, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2356, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1998, requires_grad=True)}\n",
+      "Epoch: 61\t Loss: tensor(1.3955e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0991, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2375, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1996, requires_grad=True)}\n",
+      "Epoch: 62\t Loss: tensor(1.2814e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2393, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 63\t Loss: tensor(1.1817e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2410, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1990, requires_grad=True)}\n",
+      "Epoch: 64\t Loss: tensor(1.1129e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2427, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1988, requires_grad=True)}\n",
+      "Epoch: 65\t Loss: tensor(1.0659e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2443, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1987, requires_grad=True)}\n",
+      "Epoch: 66\t Loss: tensor(1.0182e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2459, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1987, requires_grad=True)}\n",
+      "Epoch: 67\t Loss: tensor(9.5560e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2474, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1989, requires_grad=True)}\n",
+      "Epoch: 68\t Loss: tensor(8.8371e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0995, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2489, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1991, requires_grad=True)}\n",
+      "Epoch: 69\t Loss: tensor(8.1914e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0994, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2503, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1994, requires_grad=True)}\n",
+      "Epoch: 70\t Loss: tensor(7.7218e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2517, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1996, requires_grad=True)}\n",
+      "Epoch: 71\t Loss: tensor(7.3807e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2530, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1997, requires_grad=True)}\n",
+      "Epoch: 72\t Loss: tensor(7.0378e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2543, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1997, requires_grad=True)}\n",
+      "Epoch: 73\t Loss: tensor(6.6148e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0994, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2556, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1996, requires_grad=True)}\n",
+      "Epoch: 74\t Loss: tensor(6.1477e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2568, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1995, requires_grad=True)}\n",
+      "Epoch: 75\t Loss: tensor(5.7309e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2580, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 76\t Loss: tensor(5.4180e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2592, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1992, requires_grad=True)}\n",
+      "Epoch: 77\t Loss: tensor(5.1708e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2603, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1991, requires_grad=True)}\n",
+      "Epoch: 78\t Loss: tensor(4.9158e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2614, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1992, requires_grad=True)}\n",
+      "Epoch: 79\t Loss: tensor(4.6182e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2624, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 80\t Loss: tensor(4.3082e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2635, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1994, requires_grad=True)}\n",
+      "Epoch: 81\t Loss: tensor(4.0392e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2645, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1995, requires_grad=True)}\n",
+      "Epoch: 82\t Loss: tensor(3.8291e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0995, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2654, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1996, requires_grad=True)}\n",
+      "Epoch: 83\t Loss: tensor(3.6487e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0995, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2664, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1997, requires_grad=True)}\n",
+      "Epoch: 84\t Loss: tensor(3.4565e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2673, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1997, requires_grad=True)}\n",
+      "Epoch: 85\t Loss: tensor(3.2440e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2682, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1996, requires_grad=True)}\n",
+      "Epoch: 86\t Loss: tensor(3.0374e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2691, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1995, requires_grad=True)}\n",
+      "Epoch: 87\t Loss: tensor(2.8623e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2699, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1994, requires_grad=True)}\n",
+      "Epoch: 88\t Loss: tensor(2.7187e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2707, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1994, requires_grad=True)}\n",
+      "Epoch: 89\t Loss: tensor(2.5832e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2715, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1994, requires_grad=True)}\n",
+      "Epoch: 90\t Loss: tensor(2.4385e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2723, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1994, requires_grad=True)}\n",
+      "Epoch: 91\t Loss: tensor(2.2882e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2731, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1995, requires_grad=True)}\n",
+      "Epoch: 92\t Loss: tensor(2.1509e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2738, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1996, requires_grad=True)}\n",
+      "Epoch: 93\t Loss: tensor(2.0347e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2745, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1996, requires_grad=True)}\n",
+      "Epoch: 94\t Loss: tensor(1.9325e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2752, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1997, requires_grad=True)}\n",
+      "Epoch: 95\t Loss: tensor(1.8298e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2759, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1997, requires_grad=True)}\n",
+      "Epoch: 96\t Loss: tensor(1.7222e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2766, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1996, requires_grad=True)}\n",
+      "Epoch: 97\t Loss: tensor(1.6187e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2772, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1996, requires_grad=True)}\n",
+      "Epoch: 98\t Loss: tensor(1.5270e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2778, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1996, requires_grad=True)}\n",
+      "Epoch: 99\t Loss: tensor(1.4471e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2785, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1995, requires_grad=True)}\n"
      ]
     }
    ],
    "source": [
-    "ode_solver.fit(result,torch.optim.Adam, {\"lr\": 0.01}, max_epochs=50)"
+    "ode_solver.fit(result,torch.optim.Adam, {\"lr\": 0.01}, max_epochs=100)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "output_type": "execute_result",
      "data": {
       "text/plain": [
-       "{'a': 0.10043926537036896,\n",
-       " 'g1': 0.06884637475013733,\n",
-       " 'g2': 0.19648335874080658}"
+       "{'a': 0.0999237447977066, 'g1': 0.2784566581249237, 'g2': 0.19953623414039612}"
       ]
      },
      "metadata": {},
-     "execution_count": 28
+     "execution_count": 12
     }
    ],
    "source": [
     "ode_solver.get_coeffs()\n",
     "\n",
-    "# \"a\" and \"g2\" match. \"g1\" is off, but the difference it makes on the trajectories is not noticeable"
+    "# \"a\" and \"g2\" differ by at most 0.01. \"g1\" differs by 0.03."
    ]
   },
   {
    "source": [
-    "# Re-calculate using 4th Order Runge-Kutta"
+    "# Predictions for nt = 10000"
    ],
    "cell_type": "markdown",
    "metadata": {}
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -306,62 +642,35 @@
      "data": {
       "text/plain": [
        "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9823e-01, 1.7684e-03, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9647e-01, 3.5314e-03, 1.7761e-06],\n",
+       "        [1.0000e-01, 8.9820e-01, 1.7958e-03, 0.0000e+00],\n",
+       "        [1.0000e-01, 8.9641e-01, 3.5863e-03, 1.7945e-06],\n",
        "        ...,\n",
-       "        [5.2224e-02, 5.0797e-06, 1.4529e-04, 9.4763e-01],\n",
-       "        [5.2224e-02, 5.0749e-06, 1.4516e-04, 9.4763e-01],\n",
-       "        [5.2224e-02, 5.0702e-06, 1.4502e-04, 9.4763e-01]],\n",
+       "        [6.2658e-03, 2.2260e-06, 1.3104e-04, 9.9360e-01],\n",
+       "        [6.2658e-03, 2.2239e-06, 1.3092e-04, 9.9360e-01],\n",
+       "        [6.2658e-03, 2.2217e-06, 1.3079e-04, 9.9360e-01]],\n",
        "       grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
-     "execution_count": 29
+     "execution_count": 13
     }
    ],
    "source": [
-    "ode_solver(10000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9823e-01, 1.7684e-03, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9647e-01, 3.5314e-03, 1.7761e-06],\n",
-       "        ...,\n",
-       "        [7.8164e-02, 1.3713e-01, 4.2534e-01, 3.5937e-01],\n",
-       "        [7.8141e-02, 1.3688e-01, 4.2518e-01, 3.5980e-01],\n",
-       "        [7.8118e-02, 1.3663e-01, 4.2502e-01, 3.6023e-01]],\n",
-       "       grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 30
-    }
-   ],
-   "source": [
-    "results_test = ode_solver(1000)\n",
+    "results_test = ode_solver(10000)\n",
     "results_test"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T09:40:38.798477</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mefe6997dd4\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#mefe6997dd4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#mefe6997dd4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#mefe6997dd4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#mefe6997dd4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#mefe6997dd4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#mefe6997dd4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf6fb165998\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mf6fb165998\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mf6fb165998\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mf6fb165998\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mf6fb165998\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mf6fb165998\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p5329bd3d33)\" d=\"M 46.335852 234.335999 \nL 74.284091 234.44591 \nL 106.782044 234.802626 \nL 147.404485 235.482714 \nL 206.550758 236.718398 \nL 363.190889 240.069262 \nL 370.990398 240.217944 \nL 370.990398 240.217944 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p5329bd3d33)\" d=\"M 46.335852 19.296 \nL 52.835443 28.621223 \nL 59.335033 37.574646 \nL 66.159603 46.592043 \nL 72.984173 55.232914 \nL 79.808743 63.5132 \nL 86.633313 71.44833 \nL 93.457883 79.052995 \nL 100.607433 86.680684 \nL 107.756982 93.976611 \nL 114.906532 100.955596 \nL 122.056082 107.63177 \nL 129.530611 114.302257 \nL 137.00514 120.671279 \nL 144.479669 126.752807 \nL 152.279177 132.806681 \nL 160.078686 138.576546 \nL 167.878195 144.076133 \nL 176.002683 149.531516 \nL 184.127171 154.721819 \nL 192.576639 159.85285 \nL 201.026106 164.725698 \nL 209.800553 169.527114 \nL 218.575001 174.078855 \nL 227.674427 178.549783 \nL 237.098833 182.9276 \nL 246.52324 187.062808 \nL 256.272625 191.100116 \nL 266.346991 195.030286 \nL 276.746335 198.845232 \nL 287.47066 202.538072 \nL 298.519964 206.103075 \nL 309.894247 209.53559 \nL 321.59351 212.832077 \nL 333.617752 215.989992 \nL 346.291954 219.084212 \nL 359.291135 222.02645 \nL 370.990398 224.488914 \nL 370.990398 224.488914 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p5329bd3d33)\" d=\"M 46.335852 261.216 \nL 51.860504 253.325054 \nL 57.385156 245.826954 \nL 62.909808 238.706236 \nL 68.43446 231.948008 \nL 73.959112 225.537913 \nL 79.483764 219.462129 \nL 85.008416 213.707344 \nL 90.533068 208.260733 \nL 96.05772 203.109944 \nL 101.907351 197.965398 \nL 107.756982 193.125583 \nL 113.606614 188.577454 \nL 119.456245 184.308481 \nL 125.305877 180.306605 \nL 131.480488 176.359388 \nL 137.655099 172.683835 \nL 143.82971 169.26741 \nL 150.004321 166.098144 \nL 156.503911 163.016436 \nL 163.003502 160.182993 \nL 169.503092 157.585575 \nL 176.327662 155.099467 \nL 183.152232 152.847669 \nL 190.301782 150.726512 \nL 197.451331 148.83542 \nL 204.92586 147.090373 \nL 212.40039 145.568717 \nL 220.199898 144.204755 \nL 228.324386 143.01185 \nL 236.773854 142.001776 \nL 245.548301 141.184507 \nL 254.647728 140.568239 \nL 264.072134 140.159397 \nL 273.82152 139.962602 \nL 283.895885 139.980715 \nL 294.620209 140.225415 \nL 305.994493 140.71495 \nL 317.693756 141.440358 \nL 330.367957 142.452259 \nL 343.692118 143.739364 \nL 358.316196 145.380662 \nL 370.990398 146.970034 \nL 370.990398 146.970034 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p5329bd3d33)\" d=\"M 46.335852 261.216 \nL 53.485402 261.107875 \nL 60.959931 260.762981 \nL 68.43446 260.19684 \nL 76.233969 259.386575 \nL 84.358457 258.321452 \nL 92.807924 256.992785 \nL 101.907351 255.330741 \nL 111.331757 253.37895 \nL 121.406123 251.058189 \nL 131.805467 248.434739 \nL 143.179751 245.330363 \nL 155.203993 241.814944 \nL 168.203174 237.782235 \nL 182.502273 233.112095 \nL 198.751249 227.563552 \nL 217.275082 220.997435 \nL 240.348629 212.570202 \nL 275.121438 199.601846 \nL 327.443141 180.109402 \nL 355.71636 169.826856 \nL 370.990398 164.387127 \nL 370.990398 164.387127 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p5329bd3d33\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T16:04:30.183746</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"ma2b3848944\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#ma2b3848944\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.273255\" xlink:href=\"#ma2b3848944\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2000 -->\n      <g transform=\"translate(98.548255 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.210658\" xlink:href=\"#ma2b3848944\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4000 -->\n      <g transform=\"translate(163.485658 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.148061\" xlink:href=\"#ma2b3848944\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6000 -->\n      <g transform=\"translate(228.423061 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.085464\" xlink:href=\"#ma2b3848944\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8000 -->\n      <g transform=\"translate(293.360464 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.022866\" xlink:href=\"#ma2b3848944\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10000 -->\n      <g transform=\"translate(355.116616 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"254.492188\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mbf3a07360b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mbf3a07360b\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mbf3a07360b\" y=\"212.520433\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 216.319652)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mbf3a07360b\" y=\"163.824866\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 167.624085)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mbf3a07360b\" y=\"115.129299\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 118.928518)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mbf3a07360b\" y=\"66.433732\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 70.232951)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mbf3a07360b\" y=\"17.738165\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 21.537384)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pd3b04c9a34)\" d=\"M 46.335852 236.868216 \nL 47.764475 236.978445 \nL 49.322973 237.330175 \nL 51.076283 237.962174 \nL 53.15428 238.956369 \nL 55.88165 240.523667 \nL 61.726017 244.222732 \nL 66.239166 246.925919 \nL 69.940598 248.88572 \nL 73.512155 250.526522 \nL 77.14865 251.951499 \nL 80.947488 253.200216 \nL 85.038544 254.30832 \nL 89.519225 255.288429 \nL 94.551874 256.156994 \nL 100.331303 256.92211 \nL 107.084793 257.585454 \nL 115.234437 258.155305 \nL 125.429609 258.635617 \nL 138.676839 259.025772 \nL 156.924249 259.326706 \nL 184.327833 259.537059 \nL 232.67373 259.655464 \nL 369.789056 259.6904 \nL 370.990398 259.690421 \nL 370.990398 259.690421 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pd3b04c9a34)\" d=\"M 46.335852 42.085955 \nL 48.1541 65.104218 \nL 49.972347 85.388286 \nL 51.823063 103.592203 \nL 53.673779 119.659966 \nL 55.556963 134.113252 \nL 57.472617 147.120239 \nL 59.420739 158.833481 \nL 61.368861 169.226485 \nL 63.349452 178.619766 \nL 65.362511 187.113712 \nL 67.408039 194.796749 \nL 69.486036 201.746793 \nL 71.596502 208.032644 \nL 73.706968 213.633991 \nL 75.849902 218.704225 \nL 78.025305 223.28925 \nL 80.233177 227.430656 \nL 82.473517 231.166292 \nL 84.746326 234.530846 \nL 87.084073 237.59628 \nL 89.454288 240.342703 \nL 91.88944 242.829985 \nL 94.421999 245.1006 \nL 97.051964 247.159753 \nL 99.779335 249.014962 \nL 102.669049 250.711003 \nL 105.721107 252.243428 \nL 109.000446 253.637651 \nL 112.507066 254.885086 \nL 116.338373 256.009296 \nL 120.559304 257.012262 \nL 125.267265 257.89818 \nL 130.624601 258.67407 \nL 136.826123 259.340301 \nL 144.16405 259.89781 \nL 153.190349 260.351934 \nL 164.879081 260.705439 \nL 181.210838 260.960757 \nL 207.41308 261.123391 \nL 263.356653 261.201866 \nL 370.990398 261.215459 \nL 370.990398 261.215459 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pd3b04c9a34)\" d=\"M 46.335852 261.216 \nL 47.926819 241.271876 \nL 49.485316 224.441009 \nL 51.043814 209.980365 \nL 52.569843 197.856546 \nL 54.063403 187.722131 \nL 55.524495 179.283077 \nL 56.953118 172.290222 \nL 58.349272 166.531799 \nL 59.712957 161.827522 \nL 61.011705 158.107679 \nL 62.277985 155.12519 \nL 63.511795 152.772816 \nL 64.680669 151.00154 \nL 65.817073 149.667588 \nL 66.921009 148.705974 \nL 67.992476 148.060455 \nL 69.063943 147.674214 \nL 70.13541 147.525005 \nL 71.239346 147.597436 \nL 72.40822 147.901341 \nL 73.674499 148.468297 \nL 75.070653 149.348874 \nL 76.596682 150.5806 \nL 78.349992 152.294661 \nL 80.330583 154.553031 \nL 82.668329 157.572447 \nL 85.460637 161.558723 \nL 89.064663 167.115191 \nL 94.941498 176.648835 \nL 103.123611 189.844614 \nL 107.993916 197.266616 \nL 112.312254 203.451921 \nL 116.370841 208.884787 \nL 120.299554 213.776347 \nL 124.130861 218.195532 \nL 127.929699 222.24009 \nL 131.696068 225.928985 \nL 135.494906 229.339894 \nL 139.326213 232.481624 \nL 143.222457 235.38834 \nL 147.183639 238.066114 \nL 151.242227 240.541768 \nL 155.430689 242.835828 \nL 159.781495 244.963436 \nL 164.294645 246.922035 \nL 169.035075 248.735219 \nL 174.035255 250.40712 \nL 179.327653 251.94005 \nL 184.977207 253.342801 \nL 191.048854 254.619274 \nL 197.640001 255.775462 \nL 204.880521 256.816315 \nL 212.900291 257.740725 \nL 221.92659 258.552731 \nL 232.251637 259.25298 \nL 244.329994 259.843075 \nL 258.90844 260.324883 \nL 277.285725 260.699574 \nL 302.091813 260.968891 \nL 339.950319 261.135833 \nL 370.990398 261.184155 \nL 370.990398 261.184155 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pd3b04c9a34)\" d=\"M 46.335852 261.216 \nL 47.082632 261.10775 \nL 47.861881 260.76434 \nL 48.706067 260.145711 \nL 49.680129 259.138428 \nL 50.784064 257.650889 \nL 52.017875 255.598288 \nL 53.446498 252.768662 \nL 55.102402 248.965793 \nL 57.018055 243.982742 \nL 59.290864 237.423809 \nL 62.083172 228.652728 \nL 65.817073 216.133115 \nL 73.90178 187.981794 \nL 79.616271 168.572679 \nL 84.064483 154.23653 \nL 88.058134 142.0983 \nL 91.824503 131.351047 \nL 95.428529 121.729654 \nL 98.935149 112.995766 \nL 102.344362 105.091321 \nL 105.721107 97.818209 \nL 109.032915 91.203627 \nL 112.344722 85.080667 \nL 115.624061 79.478194 \nL 118.9034 74.309063 \nL 122.215207 69.502495 \nL 125.527015 65.085352 \nL 128.871291 60.993607 \nL 132.248036 57.211601 \nL 135.689719 53.691268 \nL 139.16387 50.453883 \nL 142.735427 47.430004 \nL 146.371921 44.641314 \nL 150.138291 42.034421 \nL 154.002066 39.630208 \nL 158.028185 37.387852 \nL 162.216648 35.310633 \nL 166.599922 33.386578 \nL 171.242947 31.595253 \nL 176.113252 29.956236 \nL 181.308244 28.444405 \nL 186.892861 27.054218 \nL 192.89957 25.790869 \nL 199.458248 24.642459 \nL 206.6663 23.610612 \nL 214.718538 22.688958 \nL 223.712368 21.887684 \nL 234.069884 21.193585 \nL 246.245647 20.608067 \nL 261.083843 20.128606 \nL 279.363722 19.765709 \nL 305.143871 19.496445 \nL 342.580284 19.339711 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_17\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_18\"/>\n    <g id=\"text_13\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_19\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_20\"/>\n    <g id=\"text_14\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_21\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_22\"/>\n    <g id=\"text_15\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_23\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_24\"/>\n    <g id=\"text_16\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd3b04c9a34\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     }
diff --git a/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb b/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
index f56432f6..7a75a19d 100644
--- a/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
+++ b/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -25,7 +25,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -55,14 +55,14 @@
   },
   {
    "source": [
-    "# 4th Order Runge-Kutta - Data Generation"
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
    ],
    "cell_type": "markdown",
    "metadata": {}
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -81,7 +81,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -99,7 +99,7 @@
       ]
      },
      "metadata": {},
-     "execution_count": 5
+     "execution_count": 6
     }
    ],
    "source": [
@@ -108,14 +108,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:00:35.035852</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m1bb315be42\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m1bb315be42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m1bb315be42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m1bb315be42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m1bb315be42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m1bb315be42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m1bb315be42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m3cd71932e2\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3cd71932e2\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3cd71932e2\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3cd71932e2\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3cd71932e2\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3cd71932e2\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p97ef88aebc)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p97ef88aebc)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p97ef88aebc)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p97ef88aebc)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p97ef88aebc\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:52:16.867885</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mcf1b1545c0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#mcf1b1545c0\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#mcf1b1545c0\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#mcf1b1545c0\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#mcf1b1545c0\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#mcf1b1545c0\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#mcf1b1545c0\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m4d4a033c0f\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m4d4a033c0f\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m4d4a033c0f\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m4d4a033c0f\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m4d4a033c0f\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m4d4a033c0f\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p9e659b2725)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p9e659b2725)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p9e659b2725)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p9e659b2725)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9e659b2725\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -144,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -162,14 +162,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:07:25.248926</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mba37cf1557\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#mba37cf1557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#mba37cf1557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#mba37cf1557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#mba37cf1557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#mba37cf1557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#mba37cf1557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m1cf0a3e207\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1cf0a3e207\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1cf0a3e207\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1cf0a3e207\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1cf0a3e207\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1cf0a3e207\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pf2245aed3a)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pf2245aed3a)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pf2245aed3a)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pf2245aed3a)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pf2245aed3a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:52:17.806177</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m7b1b2938d1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m7b1b2938d1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m7b1b2938d1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m7b1b2938d1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m7b1b2938d1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m7b1b2938d1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m7b1b2938d1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m151bc36407\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m151bc36407\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m151bc36407\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m151bc36407\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m151bc36407\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m151bc36407\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pd8b232aae1)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pd8b232aae1)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pd8b232aae1)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pd8b232aae1)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd8b232aae1\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -192,112 +192,112 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "output_type": "stream",
      "name": "stdout",
      "text": [
-      "Epoch: 0\t Loss: tensor(4.6695e-08, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 0\t Loss: tensor(5.0924e-08, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0282, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1135, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.0955, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(2.0676e-09, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0251, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1172, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.0972, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(1.7863e-09, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0911, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1717, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1552, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(2.0620e-09, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0932, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1684, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1580, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(1.9583e-09, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0951, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1594, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1907, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(1.6878e-09, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0967, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1525, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1923, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(1.8069e-09, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0984, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0977, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1960, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(1.1100e-09, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0981, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0909, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1966, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(9.8425e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0988, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0276, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.0990, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0218, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1926, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(6.7458e-10, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 5\t Loss: tensor(6.6682e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0968, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0326, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1915, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(4.3536e-10, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0967, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0356, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1918, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(4.3547e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0976, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0814, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1927, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(3.0973e-10, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0978, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0831, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1929, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(2.9978e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0983, requires_grad=True), 'g1': Parameter containing:\n",
       "tensor(0.1227, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1947, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(1.9906e-10, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 8\t Loss: tensor(1.9765e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0988, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1578, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1572, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1958, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(1.1289e-10, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 9\t Loss: tensor(1.1863e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0990, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1876, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1966, requires_grad=True)}\n",
-      "Epoch: 10\t Loss: tensor(7.3364e-11, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0989, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1860, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1965, requires_grad=True)}\n",
+      "Epoch: 10\t Loss: tensor(7.3628e-11, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0992, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2122, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1971, requires_grad=True)}\n",
-      "Epoch: 11\t Loss: tensor(4.2479e-11, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2103, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1975, requires_grad=True)}\n",
+      "Epoch: 11\t Loss: tensor(4.3234e-11, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0994, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2319, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1977, requires_grad=True)}\n",
-      "Epoch: 12\t Loss: tensor(2.5407e-11, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.2306, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1976, requires_grad=True)}\n",
+      "Epoch: 12\t Loss: tensor(2.6147e-11, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2475, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1983, requires_grad=True)}\n",
-      "Epoch: 13\t Loss: tensor(1.5420e-11, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0995, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2464, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1981, requires_grad=True)}\n",
+      "Epoch: 13\t Loss: tensor(1.5700e-11, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2600, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.2590, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1987, requires_grad=True)}\n",
-      "Epoch: 14\t Loss: tensor(8.4156e-12, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 14\t Loss: tensor(9.1202e-12, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2699, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1989, requires_grad=True)}\n",
-      "Epoch: 15\t Loss: tensor(4.9005e-12, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2690, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1990, requires_grad=True)}\n",
+      "Epoch: 15\t Loss: tensor(4.6565e-12, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2774, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 16\t Loss: tensor(2.4019e-12, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.2768, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1991, requires_grad=True)}\n",
+      "Epoch: 16\t Loss: tensor(2.7278e-12, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2833, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.2828, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 17\t Loss: tensor(1.3333e-12, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 17\t Loss: tensor(1.4706e-12, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2877, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.2873, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1994, requires_grad=True)}\n",
-      "Epoch: 18\t Loss: tensor(7.3605e-13, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 18\t Loss: tensor(7.0044e-13, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2909, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1996, requires_grad=True)}\n",
-      "Epoch: 19\t Loss: tensor(3.6061e-13, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.2906, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1995, requires_grad=True)}\n",
+      "Epoch: 19\t Loss: tensor(4.3328e-13, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2933, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.2930, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1996, requires_grad=True)}\n"
      ]
     }
@@ -312,18 +312,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "output_type": "execute_result",
      "data": {
       "text/plain": [
-       "{'a': 0.0999365746974945, 'g1': 0.2932976186275482, 'g2': 0.19956441223621368}"
+       "{'a': 0.09994413703680038, 'g1': 0.2930056154727936, 'g2': 0.19959327578544617}"
       ]
      },
      "metadata": {},
-     "execution_count": 17
+     "execution_count": 11
     }
    ],
    "source": [
@@ -334,14 +334,14 @@
   },
   {
    "source": [
-    "# Re-calculate using 4th Order Runge-Kutta"
+    "# Predictions for nt = 10000"
    ],
    "cell_type": "markdown",
    "metadata": {}
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -349,62 +349,35 @@
      "data": {
       "text/plain": [
        "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9820e-01, 1.7961e-03, 0.0000e+00],\n",
-       "        [9.9999e-02, 8.9641e-01, 3.5868e-03, 1.7949e-06],\n",
+       "        [1.0000e-01, 8.9820e-01, 1.7963e-03, 0.0000e+00],\n",
+       "        [9.9999e-02, 8.9641e-01, 3.5873e-03, 1.7953e-06],\n",
        "        ...,\n",
-       "        [5.3935e-03, 1.9782e-06, 1.2804e-04, 9.9447e-01],\n",
-       "        [5.3935e-03, 1.9763e-06, 1.2792e-04, 9.9447e-01],\n",
-       "        [5.3935e-03, 1.9743e-06, 1.2779e-04, 9.9447e-01]],\n",
+       "        [5.4107e-03, 1.9812e-06, 1.2800e-04, 9.9446e-01],\n",
+       "        [5.4107e-03, 1.9793e-06, 1.2787e-04, 9.9446e-01],\n",
+       "        [5.4107e-03, 1.9774e-06, 1.2775e-04, 9.9446e-01]],\n",
        "       grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
-     "execution_count": 18
+     "execution_count": 12
     }
    ],
    "source": [
-    "ode_solver(10000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9820e-01, 1.7961e-03, 0.0000e+00],\n",
-       "        [9.9999e-02, 8.9641e-01, 3.5868e-03, 1.7949e-06],\n",
-       "        ...,\n",
-       "        [3.3881e-02, 1.5089e-01, 4.4667e-01, 3.6856e-01],\n",
-       "        [3.3837e-02, 1.5063e-01, 4.4653e-01, 3.6900e-01],\n",
-       "        [3.3792e-02, 1.5037e-01, 4.4638e-01, 3.6945e-01]],\n",
-       "       grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 19
-    }
-   ],
-   "source": [
-    "results_test = ode_solver(1000)\n",
+    "results_test = ode_solver(10000)\n",
     "results_test"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:19:13.269041</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m8b99000a8a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m8b99000a8a\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m8b99000a8a\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m8b99000a8a\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m8b99000a8a\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m8b99000a8a\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m8b99000a8a\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m3aa0ff9dee\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3aa0ff9dee\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3aa0ff9dee\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3aa0ff9dee\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3aa0ff9dee\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m3aa0ff9dee\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p248ed4550c)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.442151 \nL 73.634132 234.787423 \nL 89.23315 235.392434 \nL 107.107023 236.315956 \nL 128.880652 237.6767 \nL 159.753706 239.85346 \nL 231.249202 244.955286 \nL 264.072134 247.030666 \nL 295.270168 248.780128 \nL 326.793182 250.323285 \nL 359.616114 251.703954 \nL 370.990398 252.132637 \nL 370.990398 252.132637 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p248ed4550c)\" d=\"M 46.335852 19.296 \nL 52.510463 28.282492 \nL 58.685074 36.886913 \nL 64.859685 45.126456 \nL 71.359276 53.423789 \nL 77.858866 61.35408 \nL 84.358457 68.93537 \nL 90.858047 76.184802 \nL 97.682617 83.457689 \nL 104.507187 90.401058 \nL 111.331757 97.032355 \nL 118.481307 103.662515 \nL 125.630856 109.985939 \nL 132.780406 116.019498 \nL 140.254935 122.034648 \nL 147.729464 127.767391 \nL 155.528973 133.465543 \nL 163.328481 138.890564 \nL 171.452969 144.268274 \nL 179.577458 149.383475 \nL 188.026925 154.441487 \nL 196.801372 159.428634 \nL 205.57582 164.161918 \nL 214.675246 168.818897 \nL 224.099652 173.388903 \nL 233.849038 177.862442 \nL 243.598424 182.094045 \nL 253.672789 186.228661 \nL 264.072134 190.259087 \nL 274.796458 194.179039 \nL 285.845762 197.983086 \nL 297.220046 201.666586 \nL 308.919308 205.225689 \nL 321.26853 208.747005 \nL 333.942732 212.12678 \nL 346.941913 215.364055 \nL 360.591053 218.53123 \nL 370.990398 220.795425 \nL 370.990398 220.795425 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p248ed4550c)\" d=\"M 46.335852 261.216 \nL 51.860504 253.202822 \nL 57.385156 245.591011 \nL 62.909808 238.363653 \nL 68.43446 231.504537 \nL 73.959112 224.998121 \nL 79.483764 218.829507 \nL 85.008416 212.98444 \nL 90.533068 207.449249 \nL 96.382699 201.911674 \nL 102.232331 196.691975 \nL 108.081962 191.775976 \nL 113.931593 187.150111 \nL 119.781225 182.801413 \nL 125.630856 178.717562 \nL 131.805467 174.681112 \nL 137.980078 170.913338 \nL 144.154689 167.401639 \nL 150.65428 163.968527 \nL 157.15387 160.792476 \nL 163.653461 157.860796 \nL 170.478031 155.032328 \nL 177.302601 152.446709 \nL 184.127171 150.091315 \nL 191.27672 147.857686 \nL 198.42627 145.850563 \nL 205.900799 143.98102 \nL 213.700308 142.265301 \nL 221.499816 140.775513 \nL 229.624304 139.449306 \nL 238.073772 138.298986 \nL 246.848219 137.335287 \nL 255.947646 136.567349 \nL 265.372052 136.002664 \nL 275.121438 135.647069 \nL 285.195803 135.504716 \nL 295.595148 135.578216 \nL 306.644452 135.880498 \nL 318.343715 136.429242 \nL 330.692937 137.238251 \nL 343.692118 138.317571 \nL 357.666237 139.708009 \nL 370.990398 141.228487 \nL 370.990398 141.228487 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p248ed4550c)\" d=\"M 46.335852 261.216 \nL 53.485402 261.106746 \nL 60.634951 260.778226 \nL 68.10948 260.215749 \nL 75.908989 259.406446 \nL 84.033477 258.339371 \nL 92.482945 257.005568 \nL 101.257392 255.398124 \nL 110.681798 253.440949 \nL 120.431184 251.187973 \nL 130.830529 248.554281 \nL 141.879833 245.523255 \nL 153.579096 242.083332 \nL 166.253297 238.123956 \nL 180.227417 233.519211 \nL 195.501454 228.247928 \nL 212.725369 222.065724 \nL 233.199079 214.472281 \nL 259.522421 204.456149 \nL 359.941094 166.007132 \nL 370.990398 161.907524 \nL 370.990398 161.907524 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p248ed4550c\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAGdCAYAAADAAnMpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAABoyUlEQVR4nO3dd5hU1f3H8ff07bPUXbogvUgVpDcFEZVmxKjYjcaflcSoMdFojJiYqDEJRI0lBmMsFAERQZQmTaoICEpbylIW2J2tU+/vj7s7sFLcXXa5Wz6v55lnZs69s/OdK+589txzz7EZhmEgIiIiYhG71QWIiIhIzaYwIiIiIpZSGBERERFLKYyIiIiIpRRGRERExFIKIyIiImIphRERERGxlMKIiIiIWMppdQElEYlEOHDgAImJidhsNqvLERERkRIwDIPs7GwaNmyI3X7m/o8qEUYOHDhAkyZNrC5DREREymDv3r00btz4jNurRBhJTEwEzA+TlJRkcTUiIiJSEj6fjyZNmkS/x8+kSoSRolMzSUlJCiMiIiJVzI8NsdAAVhEREbGUwoiIiIhYSmFERERELFUlxoyIiIhUNYZhEAqFCIfDVpdSYRwOB06n85yn3VAYERERKWeBQID09HTy8vKsLqXCxcXF0aBBA9xud5l/hsKIiIhIOYpEIuzatQuHw0HDhg1xu93VcsJOwzAIBAIcOXKEXbt20apVq7NObHY2CiMiIiLlKBAIEIlEaNKkCXFxcVaXU6FiY2NxuVzs2bOHQCBATExMmX6OBrCKiIhUgLL2ElQ15fE5a8aREhERkUpLYUREREQspTAiIiIillIYEREREQAOHz7MXXfdRdOmTfF4PKSmpjJ8+HBWrFhRoe9bs6+mObABFvwWrnkL4utYXY2IiIilxo0bRzAY5N///jctWrTg0KFDLFy4kGPHjlXo+9bcMGIYMOteOLgJ5jwI174N1fA6cBERsZ5hGOQHz/9MrLEuR4nnOMnMzGTZsmUsWrSIgQMHAtCsWTN69uxZkSUCNTmM2Gww6h/w2hDYOgs2fQAXXWt1VSIiUg3lB8O0f+LT8/6+W54eTpy7ZF/1CQkJJCQkMHPmTC655BI8Hk8FV3dCzR4z0qAzDHzEfDz3l+A7YG09IiIiFnE6nbz11lv8+9//Jjk5mb59+/LrX/+ar7/+usLf22YYhlHh73KOfD4fXq+XrKwskpKSyveHh0Pw+mVwYB1cOBRunKbTNSIiUmYFBQXs2rWL5s2bR2ckrQqnaYoUFBSwdOlSVqxYwbx581i9ejX/+te/uOWWW864/w8/b5GSfn8rjAAc2Q6v9IdQAYx8AS6+vfzfQ0REaoSzfTlXRXfccQcLFixgz549p91eHmGkZp+mKVKvNVz6O/Px/N/A0R2WliMiIlJZtG/fntzc3Ap9D4WRIj3vggv6QzAPZt4DkfPfnSYiImKVo0ePMmTIEKZOncrXX3/Nrl27+OCDD/jTn/7EqFGjKvS9a+7VND9kt8PoyTC5D+xdCcv/Bv0etLoqERGR8yIhIYFevXrx4osvsmPHDoLBIE2aNOHOO+/k17/+dYW+t8aM/ND6qfDR/4HDDT9bBCkdKvb9RESkWqluY0Z+jMaMVIQuN0DrERAOwPS7IBSwuiIREZFqTWHkh2w2uPpliKsDhzbBoklWVyQiIlKtKYycTkJ9uPJF8/GyF2H3l9bWIyIiUo0pjJxJ+1HQ5UbAgBl3QX6m1RWJiIhUSwojZzPiOajVHLL2wscTzcX1REREpFwpjJyNJxHG/QtsDvhmGnz9vtUViYiIVDsKIz+mcQ8Y9Jj5+ONfwPHdlpYjIiJS3SiMlET/idC0NwSyzct9wyGrKxIREak2FEZKwu6AMa+AJ8mcnXXZC1ZXJCIiUm0ojJRUrWYw8i/m40XPwd6vrK1HRESknN1yyy3YbLZTbpdffnmFvq/CSGlcdC10+gkYYZh+B/izra5IRESkXF1++eWkp6cXu7377rsV+p5aKK+0rvgzpK0yB7LO/RWMmWJ1RSIiIuXG4/GQmpp6Xt9TYaS0YpNh7Cvw1kjY+F+4cLDZYyIiInImhgHBvPP/vq44c5mTSk5hpCya9YGBj5jr1sx5CBp1hzoXWl2ViIhUVsE8eLbh+X/fXx8Ad3ypXjJnzhwSEhKKtT3yyCP89re/Lc/KilEYKasBD8OupbBnGXxwC9zxGTg9VlclIiJyTgYPHsyUKcWHINSuXbtC31NhpKzsDhj3GvyzHxz8GhY8ASP+aHVVIiJSGbnizF4KK963lOLj42nZsmUFFHNmCiPnIqkhjJ4C/70WVv0Tmg+AtiOtrkpERCobm63Up0tqEl3ae65aD4fe95qPZ94DWfusrUdEROQc+P1+Dh48WOyWkZFRoe+pMFIehj4JDbtBQSZ8eLumixcRkSpr3rx5NGjQoNitX79+FfqeCiPlwemGa944MV38oklWVyQiIlJqb731FoZhnHL79ttvK/R9FUbKS+3mcNVL5uOlf4Gdi6ysRkREpMpQGClPHcdBt5sBA6b/DLIPWV2RiIhIpacwUt4ufw7qtYOcQzBN40dERER+jMJIeXPHwbVvgzsBdi+FRc9aXZGIiEilpjBSEeq1hqv+aj5e+hfY/qm19YiIiFRiZQojkydPpnnz5sTExNC9e3eWLl161v3feecdOnfuTFxcHA0aNODWW2/l6NGjZSq4yuh0DfT8mfl4+s/g+B5r6xEREamkSh1G3nvvPR588EEef/xx1q9fT//+/RkxYgRpaWmn3X/ZsmXcdNNN3H777WzevJkPPviAr776ijvuuOOci6/0hj1jLqJXkGmuXxPyW12RiIhIpVPqMPLCCy9w++23c8cdd9CuXTteeuklmjRpcsqiOkVWrlzJBRdcwP3330/z5s3p168fd911F2vWrDnn4is9pwd+8hbE1oID6+DTx62uSEREpNIpVRgJBAKsXbuWYcOGFWsfNmwYy5cvP+1r+vTpw759+5g7dy6GYXDo0CE+/PBDRo488xoufr8fn89X7FZlJTeFsa+Zj796DTZ9aG09IiIilUypwkhGRgbhcJiUlJRi7SkpKRw8ePC0r+nTpw/vvPMO48ePx+12k5qaSnJyMn/729/O+D6TJk3C6/VGb02aNClNmZVPq8ug/y/Nx7PuhyPbrK1HRESkEinTAFabzVbsuWEYp7QV2bJlC/fffz9PPPEEa9euZd68eezatYu77777jD//scceIysrK3rbu3dvWcqsXAb/2lzVN5gL798EgVyrKxIRESnmlltuYfTo0ef9fZ2l2blu3bo4HI5TekEOHz58Sm9JkUmTJtG3b18efvhhAC666CLi4+Pp378/zzzzDA0aNDjlNR6PB4/HU5rSKj+7A8a9Dv/sD0e+hdkPmKdvzhDiREREaopS9Yy43W66d+/OggULirUvWLCAPn36nPY1eXl52O3F38bhcABmj0qNklAffvIm2Byw6QNY9U+rKxIREbFcqXpGACZOnMiECRPo0aMHvXv35tVXXyUtLS162uWxxx5j//79vP322wBcddVV3HnnnUyZMoXhw4eTnp7Ogw8+SM+ePWnYsGH5fpqqoFkfGP4szHvEvLompSM07291VSIiUoEMwyA/lH/e3zfWGXvGYRSVSanDyPjx4zl69ChPP/006enpdOzYkblz59KsWTMA0tPTi805csstt5Cdnc3f//53fvGLX5CcnMyQIUP44x//WH6foqrpdZd5qe/X75nzj9y1GLyNra5KREQqSH4on17/7XXe33fV9auIc8Wd9/ctrVKHEYB77rmHe+6557Tb3nrrrVPa7rvvPu67776yvFX1ZLPBlS/B4a1w8Gt470a4dR64YqyuTERE5LwrUxiRcuCOg/FT4dVBcGA9fPwLGPV3DWgVEamGYp2xrLp+lSXvWxUojFipVjO45g2YOhY2TIVGXeHiGjBNvohIDWOz2arE6RKraNVeq104GC79nfn4k0dgzwpLyxERETnfFEYqgz73Q4cxEAnBBzeDL93qikRERM4bnaapDGw2GPUPc5r4w1vMGVpvmWMutCciInKenO4ilPNBPSOVhTveHNAa44V9q80BrTVtUjgREamRFEYqkzoXwrg3wGaH9f/RDK0iIlIjKIxUNq0uhct+bz7+9Nfw/UJr6xEREalgCiOVUe//gy43ghGBD26FjO+srkhERKTCKIxURjYbXPkCNOkF/ix49zrIP251VSIiIhVCYaSycnrMAa3eJnD0e7OHJByyuioREZFypzBSmSXUh+v+C6442PkFzP+N1RWJiIiUO4WRyq7BRTDmFfPxqimw9t/W1iMiIlLOFEaqgvZXw+DHzccf/wJ2f2ltPSIiIuVIYaSqGPAwdBgLkSC8PwGO7bS6IhERkXKhMFJVFE0Z36AL5B2Fd67VFTYiIlKubrnlFmw2GzabDafTSdOmTfn5z3/O8eMV+32jMFKVuOPgp/+DpMZw9Dt4bwKEAlZXJSIi1cjll19Oeno6u3fv5l//+hezZ8/mnnvuqdD3VBipapIawPXvgTsRdi+F2Q9oDRsRESk3Ho+H1NRUGjduzLBhwxg/fjzz58+v0PfUqr1VUWpH+Mlb8N9rYeN/oU4Lc0yJiIhUSoZhYOTnn/f3tcXGYrPZyvz6nTt3Mm/ePFwuVzlWdSqFkaqq1aVwxZ/Mq2s+fwZqNYdO11hdlYiInIaRn8+2bt3P+/u2WbcWW1xcqV4zZ84cEhISCIfDFBQUAPDCCy9URHlROk1TlV18B/S+13w88+ewZ4W19YiISJU3ePBgNmzYwKpVq7jvvvsYPnw49913X4W+p3pGqrrLnobju+HbOfC/6+GOz6DOhVZXJSIiJ7HFxtJm3VpL3re04uPjadmyJQAvv/wygwcP5qmnnuL3v/99eZcXpTBS1dkdMPZVeGskHFhvjiO5fQHE1ba6MhERKWSz2Up9uqSyePLJJxkxYgQ///nPadiwYYW8h07TVAfu+JMu+f0e/ncDBAusrkpERKqBQYMG0aFDB5599tkKew+FkeoiMRVueB88SZC2HGb8DCJhq6sSEZFqYOLEibz22mvs3bu3Qn6+wkh1ktIBxk8Fuwu2fATzHtMcJCIiUmJvvfUWM2fOPKX9+uuvx+/306RJkwp5X4WR6qbFQBjzT/Px6ldg+cvW1iMiIvIjFEaqo07XwLA/mI8XPAEb37O2HhERkbNQGKmu+twLl/yf+fije2DH59bWIyIicgYKI9XZsGegw1iIhMxF9dI3Wl2RiIjIKRRGqjO73Rw/ckF/COTAOz+B43usrkpERKQYhZHqzumB696B+h0g5xBMHQd5x6yuSkSk2jNqyNWM5fE5FUZqghgv3Phh4aRo38E714A/2+qqRESqpaIVbvPy8iyu5Pwo+pznsrKvpoOvKZIawoTp8MblsH+tOUvrDR+YPSciIlJuHA4HycnJHD58GIC4uDhsNpvFVZU/wzDIy8vj8OHDJCcn43A4yvyzFEZqknptzB6Sf18NuxbDtDvgJ2+Z69uIiEi5SU1NBYgGkuosOTk5+nnLymZUgZNaPp8Pr9dLVlYWSUlJVpdT9e1cZA5mDQeg6wS4+m9QDVO7iIjVwuEwwWDQ6jIqjMvlOmuPSEm/v9UzUhO1GATXvAHv3wTr/wOxtWBYxS0NLSJSUzkcjnM6fVFTaABrTdXuKriqcKr45S/DshetrUdERGoshZGarNsEuKywR+Sz38Hat6ysRkREaiiFkZqu7/3Q7yHz8ZyHYPNMS8sREZGaR2FEYOiT0P0WMCLmFTbfLbC6IhERqUEURsS8kmbkC9BhDESC8N6NsHOx1VWJiEgNoTAiJrsDxr4Gba6AUAG8+1NIW2l1VSIiUgMojMgJDhdc8yZcOASCueZcJPvXWV2ViIhUcwojUpwrBsa/A836gd8H/xkDB7+xuioREanGFEbkVO44uP5/0PhiKMiEt0fBkW1WVyUiItWUwoicnicRbvgQUi+CvAxzPZujO6yuSkREqiGFETmz2GSYMBPqt4ecg2YPSeZeq6sSEZFqRmFEzi6+jhlI6rSErL3w76vAd8DqqkREpBpRGJEfl5gCN82C5GZwfBe8NVKBREREyo3CiJSMtxHcPBuSm8KxnQokIiJSbhRGpORqNYOb5yiQiIhIuVIYkdKp1Qxu+bh4IMnab3VVIiJShSmMSOklNy0eSP59pQKJiIiUmcKIlI0CiYiIlBOFESm7aCBppkAiIiJlpjAi5ya5Kdwy50QgeWskZO2zuioREalCFEbk3J0cSI7vgjdHwLFdVlclIiJVhMKIlI/kpnDrXKjdAjLT4M0r4Mh2q6sSEZEqQGFEyo+3Mdz6CdRrC9kH4K0r4OA3VlclIiKVnMKIlK/EVLhlrrnab+4Rc1Dr/nVWVyUiIpWYwoiUv/g65tTxjS+G/OPmar9pK62uSkREKimFEakYsckwYQY06wd+H/xnDOxcbHVVIiJSCZUpjEyePJnmzZsTExND9+7dWbp06Vn39/v9PP744zRr1gyPx8OFF17IG2+8UaaCpQrxJMINH8CFQyCYB+/8BLbPt7oqERGpZEodRt577z0efPBBHn/8cdavX0///v0ZMWIEaWlpZ3zNtddey8KFC3n99dfZtm0b7777Lm3btj2nwqWKcMfBT/8HbUZC2A//ux42z7S6KhERqURshmEYpXlBr1696NatG1OmTIm2tWvXjtGjRzNp0qRT9p83bx7XXXcdO3fupHbt2mUq0ufz4fV6ycrKIikpqUw/QywWDsKMu+CbaWCzw5UvQvdbrK5KREQqUEm/v0vVMxIIBFi7di3Dhg0r1j5s2DCWL19+2tfMmjWLHj168Kc//YlGjRrRunVrfvnLX5Kfn3/G9/H7/fh8vmI3qeIcLhj7GnS/FYwIzH4Alr4ApcvCIiJSDTlLs3NGRgbhcJiUlJRi7SkpKRw8ePC0r9m5cyfLli0jJiaGGTNmkJGRwT333MOxY8fOOG5k0qRJPPXUU6UpTaoCu8PsEYmrDUv/AgufgvxjcNnvwWazujoREbFImQaw2n7wxWEYxiltRSKRCDabjXfeeYeePXtyxRVX8MILL/DWW2+dsXfkscceIysrK3rbu3dvWcqUyshmg6FPwLA/mM+X/w0+uhfCIWvrEhERy5QqjNStWxeHw3FKL8jhw4dP6S0p0qBBAxo1aoTX6422tWvXDsMw2Lfv9AuqeTwekpKSit2kmulzL4yaDDYHbJgKH9wMwQKrqxIREQuUKoy43W66d+/OggULirUvWLCAPn36nPY1ffv25cCBA+Tk5ETbtm/fjt1up3HjxmUoWaqNrjfA+P+AwwPfzoF3roECjQ8SEalpSn2aZuLEifzrX//ijTfeYOvWrTz00EOkpaVx9913A+Yplptuuim6//XXX0+dOnW49dZb2bJlC0uWLOHhhx/mtttuIzY2tvw+iVRNbUfCjdPAnQi7l5rTx+dmWF2ViIicR6UOI+PHj+ell17i6aefpkuXLixZsoS5c+fSrFkzANLT04vNOZKQkMCCBQvIzMykR48e3HDDDVx11VW8/PLL5fcppGpr3h9umQ1xdSB9I7x+GRzbaXVVIiJynpR6nhEraJ6RGiLjO5g6FjLTIK4u3PA+NOpudVUiIlJGFTLPiEiFqtsKbv/MXPE3LwPeuhK2f2p1VSIiUsEURqRySUyBW+fChUPN9Wze/Smse9vqqkREpAIpjEjl40mE69+DzteDEYZZ98EXkzRbq4hINaUwIpWTwwWjJ8OAh83ni5+DWfeaa9yIiEi1ojAilZfNBkN+Y04hb7PD+qnmaRt/zo+/VkREqgyFEan8etwG1/0XnLHw/QJ4ayRkn34tJBERqXoURqRqaDMCbplTOBfJBnhtKBzabHVVIiJSDhRGpOpo3APu+AzqtALfPnh9OHy34MdfJyIilZrCiFQttVvAHQvggv4QyIb/XgurX7O6KhEROQcKI1L1xNaCG6dD1xvBiMDcX8Inj0AkbHVlIiJSBgojUjU53XD13+HS35nPV/2z8EqbbEvLEhGR0lMYkarLZoN+D8FP/g3OGPjuU3hjBGTts7oyEREpBYURqfo6jIZb5kJ8fTi0ybzSZv86q6sSEZESUhiR6qFxd7hzIdRvDzkH4c0RsOlDq6sSEZESUBiR6iO5Kdz2KbQaBqECmHY7fPYURCJWVyYiImehMCLVS0wS/PR/0PdB8/myF+B/P4UCn6VliYjImSmMSPVjd8BlT8HY18yBrdvnwb8uhaM7rK5MREROQ2FEqq+LroVb50JiA8jYBq8NgR1fWF2ViIj8gMKIVG+NusPPFkHji6EgE6aOhZVTwDCsrkxERAopjEj1l5gKN8+BLjeYM7bOexRm3Qshv9WViYgICiNSU7hiYNQ/YPizYLPD+qnm5b+aIE1ExHIKI1Jz2GzQ+//ghg/N9W32r4VXBsLOxVZXJiJSoymMSM3Tcqg5jiT1IsjLgP+Mhi//qnEkIiIWURiRmqnWBXD7/BPjSBY8AR/crIX2REQsoDAiNZcr1hxHMvIFsLtgy0fmujZHtltdmYhIjaIwIjWbzQYX3w63fgKJDU/MR7JlltWViYjUGAojIgBNLoa7FkOzfhDIhvcnwIInIRyyujIRkWpPYUSkSEJ9uOkj6H2v+fzLl+DtUZB90NKyRESqO4URkZM5nDD8D3DNG+BOgD3L4J/9YOciqysTEam2FEZETqfjOPPy35SOkHsE3h4NX0yCSNjqykREqh2FEZEzqdsK7vgMut0EGLD4OfjPGMg5bHVlIiLVisKIyNm4YuHqv8GYV8EVB7sWm6dtdi21ujIRkWpDYUSkJDqPN0/b1GsHOYfg7ath8fMQiVhdmYhIlacwIlJS9drAnQtPzNr6xTPwzjidthEROUcKIyKl4Y6H0ZNh1GRwxsKOz2FKX/h+odWViYhUWQojImXR9Qb42RdQvz3kHoapY+HTxyEUsLoyEZEqR2FEpKzqt4M7P4eL7zCfr/g7vH4pZHxvbV0iIlWMwojIuXDFwsi/wHX/hdhakL4RXhkA66eCYVhdnYhIlaAwIlIe2o6Eny+HC/pDMBc++j/48DbIz7S6MhGRSk9hRKS8JDU017YZ+gTYHLB5OvyzP6StsroyEZFKTWFEpDzZHdD/F3Dbp5DcDLLS4M0R5lTy4aDV1YmIVEo2w6j8J7Z9Ph9er5esrCySkpKsLkekZAqy4ONfwKYPzOcNu8LY18xp5kUqAcMwCBkhwpEwoUjIvBmh6OOIUbpJ/WzYcNgdOGwOHHYHLrsr+thpd+K0ObHZbBX0aaQyKun3t8KISEXb9CF8PNEMJ85YuOxp6Hkn6Jey/IhwJExOMIfcYC7ZgezijwM55ARzyAvlURAqMG/hE/f+kJ/8cD4FoQL8YT/5oXwC4QDBSPBE+DBC5/0z2W12nDanGVBsTlwOFzGOGNwONzHOGDwOzynPozeneR/rjCXeGU+cK454V3z0FueKI85ptsU543DYHef980lxCiMilUnWfnNQ684vzOcXDoFR/zDHmUi1ZxgGeaE8jhccJ9OfGb0vepzlz+K4/8Q2n98XDRrnmw2b2Ythd2K32bFR8tAcMSJEjEi0d8Vqsc7YaDiJd8WT4E4gyZ1EojuRJHeSefMknfI40Z2I1+3F5XBZ/RGqPIURkcomEoGvXoMFT0CoAGKS4coXoOM4qyuTMjIMA1/Ax5G8IxzOP0xGfgZH8o6QkZ/B4bzC5/lHOJJ3hIJwQZnfx+PwEO+KJ9GdaN67EklwJ0R7AGJdscQ4Yohxxpx6f9Jjj8MTDRpOm/PE45Payqs3wTCMaDAJR8LRgBKOhAkbYYKRIKFIiGAkiD/kpyBcQCAciPbq+MMnbkW9O0W3/FA+ucFccoO55AXzzPtQXvR5efX4xDpjzWDi8VLLU4tkTzK1YmpRO6Y2tWJqmTdPrWib1+PFZVeAOZnCiEhldWQ7TL8T0jeYzzteAyP/bM5TIpVKMBLkcN5hDuQc4GDuQQ7kHCA9N5303PRoW2lChsfhiX6hJXuSqeWpZX7RxdQq1u71eEl0JRLvNoOH/kIvOcMwCEQCp4SV3GAuOcEcfH4f2cFsfH4fvkDh7QePs4PZZX7/RHeiGVYKQ0qtmFrUialD3di61I2tS724etSNqUud2DrEueLK8ZNXTgojIpVZOAhLnoclfwYjDIkNYfQ/zNM3cl7lBfNIy04jzZdW7H5f9j6O5B8p0SBOr8dLvdh65pdNbD3qxtWlfmx96saZz4u21YQvn+qgaKyOz+/DF/SZp9EKT60dKzjG8YLj5s1/PPo405+JQem+TuOccdSLqxcNK/XizH8nP3xeO6Y2dlvVvPhVYUSkKti3Bqb/DI7tMJ93vwUu+z3E6N95eQpFQuzN3suOzB3s9u1mj29PNHRk5Gec9bUuu4sG8Q1okNCABvENaBjfsNjj+vH18Tg85+mTSGUVjoTxBXwcLzhuBpaTgkpGfgZHC44WO41Xmh41p81Jvbh6pMSlUD+uPinxKaTEpZy4j0uhXmy9StmDpjAiUlUEcuGz38HqV83n3iZw9cvqJSmDYCRImi+NHZk72JG1w7wvDCBnG1CZ7EmmaVJTmiY2jd43TmxMw/iG1ImtU2X/KpXKqWhAczScFGRwNP9oNKhkFGSQkZdBRn4GxwqOlajHxYaN2jG1iwWUkx+nxqeSEp9y3oOzwohIVbNrKcy6F47vNp93uxmGPaNekjPILMhk67GtbDu2ja3HtrL9+HZ2Z+0+4+DFWGcsLbwtaO5tTrOkZtHg0SSxCV6P9zxXL1IyoUiIjPwMDuUd4lDuIQ7nHY4+PpRn3g7nHSYYKdmkinVi6hTr6Su6pSak0iyxGQnuhHKtX2FEpCoK5MJnT8HqV8znSY3h6r9Cy0utrctChmFwIPcA3x79tlj4OJR36LT7xzpjudB7IRcmF781iG+gHg6pliJGhOMFx08bVIqel2Sw9VN9nmJsq7HlWltJv7+d5fquInJu3PFwxZ+g/dXmvCTHd8PUcdB1Agz/A8RU/7/gMwsy2ZSxKXr7JuMbMv2Zp923SWIT2tZuS5tabWhbuy2tarUiNT5VoUNqFLvNTp3YOtSJrUO7Ou1Ou49hGGT6M6NXgx3MPUh6zkmPc9NpEN/gPFd+gnpGRCqrQC4sfBpW/dN8ntQIrnoZWlWfXpJAOMC3x75lU8Ymvj7yNZsyNrE3e+8p+zntTlomt6Rt7bbRW+tarUl0J1pQtYiUlE7TiFQXu78s7CXZZT6/6DoY/izE17G2rjLIDeay8fBG1hxaw7rD6/gm4xv8Yf8p+12QdAGd6naiY92OXFTvItrUalMprxQQkbNTGBGpTgJ58PnvYeUUwIC4OnD5c9DpJ5V6jZtjBcdYd2gdaw+tZd3hdXx77NtT5u2o5alFp3qd6FS3ExfVvYgOdTtoQKlINaEwIlId7f0KZt8Ph7eYzy8cCle+CLWaWVtXoZxADmsOrWFl+kpWpa/i+8zvT9mnUUIjuqd0p1v9bnRL6cYFSRdoJVeRakphRKS6CgVg+V9h8fMQ9oMrDgY/Dr3uBsf5HZMeDAfZeGQjqw6uYuWBlWzK2ETYCBfbp2Vyy2LhIzU+9bzWKCLWURgRqe4yvofZD8CeZebzBl3g6r9Bg4sq9G33Zu9lyb4lLNu/jLWH1pIfyi+2vWliUy5pcAm9GvSiZ2pPkmOSK7QeEam8FEZEaoJIBNb/B+b/FvxZYHNAn3th4KPgLp91UILhIGsPr2XJviUs3beU3b7dxbbXjqlNr9ReXNLQDCCNEhqVy/uKSNWnMCJSk2QfhE9+BVs+Mp8nN4Mr/gyth5Xpxx3JO8LS/UtZsm8JKw6sIC+UF93mtDnpmtKV/o3606dhH1rVaqV5PUTktBRGRGqib+fC3F+Cb7/5vO2VMOKP4G38oy/d69vLwrSFfJb2GRuPbCy2rXZMbfo36s+AxgPo3bC35vcQkRJRGBGpqfzZsPiPsGIyGGFwxcOgR+CSe+CkuToMw+C7zO9YuGchC9MWsu34tmI/pmOdjgxoPIABjQfQrk479X6ISKkpjIjUdIc2w8e/gLQV5vN67TBG/oUtCcl8uudTFu5ZSFp2WnR3h81Bj5QeDG02lCFNhpASn2JR4SJSXSiMiIg5wHXju+z8/AnmOoJ8khBHmutE74jb7qZPwz4MbTaUQY0H6coXESlXJf3+LlO/6+TJk2nevDkxMTF0796dpUuXluh1X375JU6nky5dupTlbUWkFA7kHOD1zW9yzd4ZjKobxyu1vKS5XMREIgzPD/LnxiNZcu0i/jb0b4xuOVpBREQsU+oZkt577z0efPBBJk+eTN++fXnllVcYMWIEW7ZsoWnTpmd8XVZWFjfddBNDhw7l0KHTL/0tIucmy5/Fp7s/ZfaO2Ww4siHa7rQ56dOoDyOS2jBk7fvEHdwEB6fAjpUw4nlocrF1RYtIjVfq0zS9evWiW7duTJkyJdrWrl07Ro8ezaRJk874uuuuu45WrVrhcDiYOXMmGzZsKPF76jSNyJmFI2FWpK/go+8/4vO0zwlEAgDYsNEjtQcjmo/gsqaXnej5CIdgzevw+TPg95ltnX8Kl/4OEjU7qoiUn5J+f5eqZyQQCLB27VoeffTRYu3Dhg1j+fLlZ3zdm2++yY4dO5g6dSrPPPPMj76P3+/H7z+xkqfP5ytNmSI1ws6sncz6fhazd8zmcP7haHvL5JaMbjmayy+4/PSDUB1O6HUXdBgDC5+C9VNh47uwdTYMeBgu+Tk4Pefxk4hITVeqMJKRkUE4HCYlpfgvuJSUFA4ePHja13z33Xc8+uijLF26FKezZG83adIknnrqqdKUJlIj5AXz+GTXJ0z/fjpfH/k62u71eLmi+RWMbjmadrXblWzhuYT6MOof0P02c8K0/Wvgsydh3dvmisBlnDBNRKS0yrSq1g9/0RmGcdpffuFwmOuvv56nnnqK1q1bl/jnP/bYY0ycODH63Ofz0aRJk7KUKlItfHf8O97f9j5zds4hJ5gDmJfi9mvUj1EtRzGw8UDcDnfZfnjj7nD7Avj6PTOMHNsB//0JtBoGwydB3Zbl+ElERE5VqjBSt25dHA7HKb0ghw8fPqW3BCA7O5s1a9awfv167r33XgAikQiGYeB0Opk/fz5Dhgw55XUejwePR93EUrP5w34W7FnAB9s+YN3hddH2JolNuKb1NVzV4irqxdUrnzez26HLT6HtSFjyPKycAt/Nhx1fmKdtBjwMMRqvJSIVo1RhxO120717dxYsWMCYMWOi7QsWLGDUqFGn7J+UlMSmTZuKtU2ePJnPP/+cDz/8kObNm5exbJHqa69vL+9vf5+Z388k058JmL0gQ5oO4Setf0KvBr0qbjbUmCQY9nvodjN8+pgZSJa/bI4pGfxr6HqTOeZERKQclfq3ysSJE5kwYQI9evSgd+/evPrqq6SlpXH33XcD5imW/fv38/bbb2O32+nYsWOx19evX5+YmJhT2kVqMsMwWH1wNVO3TGXxvsUYmBe5pcSlcE3raxjbaiz14+qfv4LqtoQbPoDtn8K8x8xTN3MeglWvwrBnoNWl568WEan2Sh1Gxo8fz9GjR3n66adJT0+nY8eOzJ07l2bNmgGQnp5OWlraj/wUEQHzVMzcnXP5z9b/8N3x76Lt/Rr1Y3yb8fRr1A+n3cKeiNbDocVgWPMGLH4OjmyFd8bBhUPMUJLSwbraRKTa0HTwIhY4kneE97a9xwfbP+BYwTEAYp2xjLpwFNe3u57m3kp4CjP/OCz5M6x6BSJBsNmh6wQY/Dgkah0bETmV1qYRqYR2Zu7kzc1vMmfnHEKREAAN4htwfdvrGdNqDF6P1+IKS+DYTvjsd7DlI/O5OwH6Pgi9/w/ccVZWJiKVjMKISCXy9ZGveeObN/g87fPoeJCu9btyY7sbGdJ0iLWnYsoqbSV8+mvYv9Z8ntQIhvwWLroW7A5raxORSkFhRMRihmGw4sAKXv/mdVYfXB1tH9JkCLd1uo3O9TpbWF05iURg83SzpyRrr9lWvwNc+qQ5T0lJJl8TkWpLYUTEIuFImAVpC3hj0xtsPbYVMBeqG9liJLd1vI0WyS0srrACBAtg1RRY+iL4s8y2pn3gsqegSU9raxORMzLCYXJXrsQ3azYpv3kcR2Jiuf58hRGR8ywcCTN/z3z+ufGf7MzaCZiDUq9pfQ03tb+J1PgasAhd3jFY9qI5yDVcuL5Um5Ew9Amo39ba2kQkyr9zF1kzZ5I1axahwolMU59+ilrXXluu76MwInKenC6EJLmTuLHdjfy07U9PrJZbk2Tth0WTYMM7YETMK286Xw+DHwNvY6urE6mRwllZ+ObOJXPmTAo2nljbyu71knTFCGpd91Ni2pR86ZaSUBgRqWARI8L83WYI2ZG1A4BEdyI3t7+Z69tdT6K7fLs7q6Qj22Dh0/DtHPO5wwM974T+v4C42tbWJlIDGKEQOUuXkjXzI3I+/xwjGDQ3OBwk9O+Pd/RoEoYMxu4u49pWP0JhRKSCRIwIC/YsYMqGKcVCyE3tb+KGdjcohJzO3q/MQa57lpnPPV7ocy/0ultr3ohUgIJt28iaMZOs2bMJHz0abfe0aYN39Gi8V12Js27dCq9DYUSkAqw4sIKX1r3ElqNbAEh0JTKhwwRubHejQsiPMQz4/jMzlBz6xmyLrQV9H4CePwN3vKXliVR1oaNH8c2ZQ+bMj/Bv3Rptd9SujfeqK/GOHk1Mu3bntSaFEZFytPnoZl5a+xIr01cCEOeM4+YON3Nj+xtJcuvfZKkUXQ686Dk4WjgFfnw96PcQ9LgNXLHW1idShUQCAXK+WETWzJnkLF0KIXMyRZvLRcLgweZpmP79sLlcltSnMCJSDvb49vC39X/j092fAuC0OxnfZjx3drqTOrF1LK6uiguHYNMH5po3x3ebbYkNzPEk3W4Cp8fS8kQqK8MwKPhmM1kzZuD7+GPCWVnRbTEXXYR39Ci8V1yBIznZuiILKYyInIOM/Az+ufGfTNs+jZARwoaNkS1G8n9d/o/GiboapFyFg7Dhv7Dk+RMTp3mbwIBfQpcbwGHNX3QilU0oI4OsWbPJmjEd/3ffR9ud9evjHXU13tGj8Vx4oYUVnkphRKQM/GE//9nyH177+jXyQnkA9G/Unwe6PUCb2m0srq6aC/lh3duw9C+QnW621boABj4Cna4FRxWcMl/kHBmBANmLF5M1fQY5S5ZAOAyAzeMh8dJL8Y4ZQ3zvS7A5KucSDAojIqVgGAYL9izghbUvsD9nPwCd6nZiYveJ9EjtYXF1NUwwH9a8CctegNwjZlut5tB/Ilx0HTgr5hJEkcqk4NtvyZw+Hd/sOYSPH4+2x3bujHfMGJKuGIGjCnwfKoyIlNDmo5v50+o/se7wOgDqx9Xnoe4PcUXzK7Db7BZXV4MFcmH1a7D8ZcgrvDTR2wT6PQhdJ2hMiVQ7oePH8c2eQ+aMGcWuhnHWq2eehhkzptKdhvkxCiMiP+JI3hH+uu6vzNoxCwODGEcMt3W8jZs73EycK87q8qRIINfsKVn+MuQcMtsSG5qXBHe/WVffSJUWnZRs+gyyFy2CwknJbC4XCUOHkjxmNPF9+2JzVs3TlAojImcQjAT579b/MnnD5Oi4kCtbXMkD3R6oGevHVFXBfHNMybKXIPuA2RZfH/rcZ14S7EmwtDyR0vB//z2Z02eQNWsW4YyMaHtMhw7maZiRV+CsVcvCCsuHwojIaaw9tJZnVj7D95nmSPSL6l7EIz0f4aJ6F1lcmZRYyG+uebP0RchKM9tia0Pv/zMnT9OMrlJJRdeGmT6Dgk2bou3mpGRX4R07hpg21WugvMKIyEky8jN4ce2LzNoxC4BkTzIPdX+I0S1Ha1xIVRUOwtfvmVffHDMXKCTGCxffaU4zn1DP2vpEACMcJnf5CrJmTCf7s4UYgYC5wekkYeBAkseOIWHAAMsmJatoCiMiQCgS4v1t7/P39X8nO5iNDRvjWo/jga4P1MzVdKujcMic0XXJ85Cx3WxzxkDXG6H3vVC7ubX1SY3k37XLXBvmo48IHToUbfe0bo137Bi8V12Fs071nzhRYURqvC1Ht/C75b9j6zFzVHr7Ou35Ta/f0KleJ4srkwoRicC2j2HZi7B/rdlms0OHseYVOKn67y4VK5yTg++TT8iaMZP8deui7Q6vl6QrrzRPw7Rvj81ms7DK80thRGqs/FA+kzdM5u0tbxMxIiS6E3mg6wNc0/oaHPbKOTGQlCPDgN3LzFCyY+GJ9paXmuvfNOsLNejLQCqWEYmQt3q1OTX7p/MxCgrMDXY78f37kTxmLAlDBmN318z5cRRGpEZamb6Sp5Y/xb6cfQCMuGAEv+r5K+rGVvxS2VIJpW+EL/8Km2eAETHbGvUwQ0mbK8Cu8UJSNoF9+8zTMDNnEty/P9rubtGC5LFjSLrqalwp9S2ssHJQGJEaJcufxZ/X/JmZ388EICUuhd9e8lsGNhlobWFSORzbCcv/bl6FEyr8y7Vua/MKnIvGa64SKZFIXh6++fPJmj6DvNWro+32hASSRo4kecxoYjp3rlGnYX6MwojUCIZh8OmeT5m0ahLHCo5hw8Z1ba/j/q73k+DWvBPyAzmHYdU/YfW/wF+40mlcXbj4DvOmK3DkBwzDoGDjRjKnTcP38VwieebcRNhsxPfujXfMGBIvuxR7TIy1hVZSCiNS7R0rOMYzK59hwZ4FALTwtuCpPk/RpX4XawuTyq/AB+v/Ayv/eWKuEocHLrrW7C2p387a+sRyoYwMsj6aReb06QR27Ii2u5o2JXnMaLyjRuFq2NDCCqsGhRGp1hbuWcjTK5/mWMExnDYnd1x0B3d2uhO3o2YOEpMyCofg29nmKZz9a060t7zUDCUtBmuwaw1SNDV75rRp5CxaDKEQALaYGJKGD8c7bixxF1+s0zCloDAi1VKWP4vnVj/HnJ1zAGiZ3JJn+z1Luzr6S1bOUdoqWPF3+HbOicGu9duboaTTT7QwXzXm37WLrOkzyJo5k9CRI9H2mM4XkTx2nLlCbmKihRVWXQojUu0s27+MJ798ksP5h7Hb7Nza4Vbu6XKPekOkfB3bBateMU/jBHLMtvj6cPHt0P1WSEyxtj4pF5HcXHyfzidz+jTy16yNtjtq1cI7apQ5J0jr1hZWWD0ojEi1kRvM5fmvnmfad9MAuCDpAp7p9wyd63W2uDKp1vIzzYX5Vv0TfIWXbtpd0H4U9LoLGl+sUzhVjGEY5G/YQNb06cUHoxbNCTJuHImDBmGroXOCVASFEakWNh3ZxCNLH2Fv9l4Abmx3I/d3u59Ypy7FlPMkHIQtH8HqV2HvqhPtDbqYoaTDWHDpSorK7KyDUceOxTtmNK4U9XhVBIURqdLCkTBvbn6Tf6z/ByEjRGp8Ks/2e5aLUy+2ujSpyQ5sMEPJpg8h7Dfb4upA91ugx+3gbWRldXISDUatHBRGpMo6mHuQXy/7NV8d/AqA4RcM57eX/Bavx2txZSKFcjNg3b/hqzfAZ872i80B7a6Enj/TlPMWMgejTidz5kzCRzKi7RqMag2FEamSPtvzGU8ufxJfwEesM5bHej7G6Jaj9deLVE7hEGyba/aW7F56oj2lI/S4zZy3xKMvvooWHYw6bRr5azUYtTJRGJEqJS+Yx/NrnufD7R8C0KFOB/444I80S2pmcWUiJXRosxlKNr4HoXyzzZ0Ana4xg0kDDbguT0WDUTOnTSN77icajFpJKYxIlbEjcwe/WPQLdmTtwIaNWzveyr1d7sXlcFldmkjp5R+HDf+FNW/C0e9OtDfqboaSDmPBHWddfVWcBqNWLQojUiXM3jGb36/8PfmhfOrF1uPZ/s9ySYNLrC5L5NwZBuxeBmvegK2zIRI02z1e6PJTc86S+m2trbGKMEIhcpYsJXP66QejJl8zjtgePXQ6txJSGJFKrSBUwHOrn4vOHXJJg0t4rv9z1ImtY3FlIhUg5whsmGr2lmTuOdHetI/ZW9L+as3weho/Ohh15BU4ErQgZmWmMCKV1h7fHn6x6BdsO74NGzZ+3vnn/Oyin+GwO6wuTaRiRSKw83MzlGz7BIyw2R5XBzr/FLreWOMX6fuxwajJ48biadXKwgqlNBRGpFL6dPenPLn8SXKDudSOqc1z/Z+jd8PeVpclcv75DsC6/5iXCBfN8ArQqAd0m2COLYmpGb/vzjYYNaF/f7zjxmowahWlMCKVSjAS5IU1LzB161QAuqd0508D/kT9uPoWVyZisXAIvv/MXAtn+zyImOMhcMVB+9FmMGnau1rOW3LGwajNmpI8dhze0aM0GLWKUxiRSuNo/lEeXvJwdBKz2zvezr1d78Vpd1pcmUglk3MYNr5r9picfCVOnZbmKZzOP4XEVOvqKwfRwajTppGzWINRqzuFEakUNmds5sFFD3Iw9yBxzjie7fcsQ5sNtboskcrNMGDvalj/NnwzA4K5ZrvNAa2Gmb0lrYZBFbr83b9zF1kzNBi1plEYEcvN/H4mv1/xewKRABckXcBfB/+VFsktrC5LpGrx58DmGeZpnJMX6ouvBx2vgc7XmROqVcKehEhuLr55n5I5fXrxwai1a+O9+moNRq0BFEbEMsFIkOe/ep53v30XgEGNB/Fs/2dJdGtabJFzcmQbrJ9qnsrJPXKivV47M5RcdC0kNbSuPgoHo67fQOZ0DUYVhRGxyNH8o0xcNJF1h9cBcE/ne7ir813YbXaLKxOpRsJB2PGFGUq+/fjECsLYoMUgc2xJuyvBHX/eSjIHo35E5rTpBHbujLafGIw6GleKBqzXNAojct59d/w77vv8Pvbn7CfBlcCz/Z5lcNPBVpclUr3lZ8KWmbDxf5C24kS7OwHaXW32mFzQH+zl/wfBGQejxsaag1HHjdVg1BpOYUTOqyX7lvCrJb8iN5hLk8Qm/H3o32nh1fgQkfPq2C74+n2zx+T4rhPtSY3NUzgXXVsuk6qddWbUceNIukKDUcWkMCLnhWEY/GfLf/jL2r8QMSJcnHoxLwx8geSYZKtLE6m5iq7G2fgubJ4OBVknttXvAJ3GQcdxUOuCEv/ISF5e4WDUaeSv0cyoUjIKI1LhgpEgf1j5h+j6MuNajePxXo9rtV2RyiRYYE6m9vV78N2CEwv2ATTuCZ2ugQ5jIOHU8RyGYVCwcSOZ06bjmzuXSG7hJcZ2O/H9+5E8bpwGo8pZKYxIhcryZzFx0URWH1yNDRu/7PFLJrSfoHPDIpVZ/nFzBeFNH8CupUDhr3+bHZoPNINJu6sI5YXNmVGnfUjg+5NmRm3alOSxY82ZUVOr9uRrcn4ojEiF2evby88X/pw9vj3EOeN4fuDzDGg8wOqyRKQ0sg+a85ds+gD2r8WIQO5BD5m7Esje74GIuZvN4yFx+DCSx11D3MU9sFXAQFipvkr6/a35uKVUNh3ZxL2f38uxgmM0iG/A34f+nda1WltdloiUVmIqXPJzAg1Hkjn1dbJmzSGUmRfdHFM7QHKrMEnDeuHoNgBadqqQK3JEQGFESmHR3kU8vPhhCsIFtKvdjsmXTqZubF2ryxKRUork55M9fz6Z06aTt3p1tN3h9ZJ0aV+SW4WIOf45ZKXBdzPMmzsBWg83F+9rdRm4Yq37AFLtKIxIiby/7X3+sOoPRIwIfRv15S8D/0K86/xNqCQi58YwDAq++YbMD6fh+/hjIjk55gabjfi+fUm+ZhwJQ4ZgLxqMahiw7yvYPBO2fAS+ffDNNPPmiofWwwqDyTBwx1n1saSa0JgROSvDMHh5/cv8a9O/ABjTcgy/7f1bXHZdMSNSFYSOH8c3ezaZH07Dv317tN3VqBHesWNIHjMGV8MfmULeMGD/WnOMyZZZZo9J9AfFmYGk/Siz5+Q8zvoqlZ8GsMo5C4aDPLH8CebsnAOYU7vf3fluXTEjUskZ4TC5y1eYM6MuXIgRNC/ntbndJF52GcnXjCOuV6+yDUY1DDiwrrDHZCZknhRMnLHmKZz2o8yAEqPf1zWdwoick7xgHg988QAr01fisDl4sveTjGk1xuqyROQsAvv2mTOjzphJKD092u5p347kcePwXnklDq+3/N7QMODAevM0zpaZcHz3iW12F7QYCG1HQpuRkJhSfu8rVYbCiJRZZkEm9yy8h00Zm4h1xvLCoBfo16if1WWJyGlECgrIXvAZmdOmkbdyZbTd7vXivfJKkseNJaZ9+4ovxDAgfaMZSrbOgaPfnbTRBo0vNoNJu6ugzoUVX49UCgojUiaHcg9x14K72JG1A6/Hy5ShU+hUr5PVZYnID+Rv3kzWtGlkzfmYiM8XbY/v0xvv2HEkXnYpdo/HugKPbIdv55i3/WuLb6vXFtpeaYaThl1Bp36rLYURKbU9vj38bP7POJB7gPpx9Xn1sle5MFl/wYhUFuHMTLLmfEzmtGn4t26NtjsbNCB5zBi8Y8fibtzIwgrPwHcAts01e0x2L4VI6MS2pEZmKGk7Epr1BS0nUa0ojEipfHvsW+5acBfHCo7RLKkZr172Kg0TfmSEvYhUOCMSIW/lSjI/nEb2Z59hBAIA2FwuEi4dSvK4a4jvfQk2h8PiSksoP9NcI+fb2fDdZxDMPbHNkwQth0Lry6HlZRBfx7IypXwojEiJrT20lnsX3ktOMIe2tdsy5dIpmsxMxGLBAwfInD6DrOnTCR44EG33tGlD8rhxJF11Jc5atSyssBwEC2DXYnO9nG2fQF7GiW02u7mQX+vhZjip306nc6oghREpkaX7lvLQoofwh/10q9+Nvw/9O4nuRKvLEqmRIoEAOZ99RuaH08hdscIcFArYExNJunIkyWPHEdOxQ/W8vD4SMS8Z3vYJbP8UDm0qvj25qRlKWg+HZv3AFWNNnVIqFRpGJk+ezPPPP096ejodOnTgpZdeon///qfdd/r06UyZMoUNGzbg9/vp0KEDv/vd7xg+fHi5fxgpnYVpC/nl4l8SioQY2Hggfx74Z2Kc+h9c5Hwr+PZbMqdNxzdrFuGsrGh7XK9eJI8bS+Jll2GPrWHTr2ftM0PJ9k/N3pNQwYltrni4cLAZTFoNM9fZkUqpwsLIe++9x4QJE5g8eTJ9+/bllVde4V//+hdbtmyhadOmp+z/4IMP0rBhQwYPHkxycjJvvvkmf/7zn1m1ahVdu3Yt1w8jJffp7k95dMmjhIwQwy8YzqT+kzSrqsh5FM7MJOvjj8maPoOCzZuj7c6UFLxjRpM8dizu0/xOrZECeWYg2T7PDCfZ6cW3N+gMLS81b417gkMrnVQWFRZGevXqRbdu3ZgyZUq0rV27dowePZpJkyaV6Gd06NCB8ePH88QTT5Rof4WR8jVn5xweX/Y4ESPCVS2u4um+T+O0639ekYpmzoy6nMzp08n57MTMqLhcJA4eTPI144jv27fqDEa1gmHAwa8Le03mnXrZsMdrTrbW8lJzMKy3sTV1ClDy7+9SfQMFAgHWrl3Lo48+Wqx92LBhLF++vEQ/IxKJkJ2dTe3atc+4j9/vx+/3R5/7TrqGXs7NjO9m8OTyJzEwGNNyDE/2fhKHXb/4RCpSYPduMmfMJOujjwgdPBht97RpQ/LYMSRddRXOs/xOlJPYbGZPSIPOMPBXkHMYdnwO338G3y+E/GOwdZZ5A6jXzgwlrS6Dpr3BaeHcK3JGpQojGRkZhMNhUlKKT+ubkpLCwZP+Bzubv/zlL+Tm5nLttdeecZ9Jkybx1FNPlaY0KYH3t73P71f+HoDxbcbz616/xm4rw9oUIvKjIrm5+OZ9SuaM6eSvOfHXe9HMqN6xY4hp3756DkY9nxLqQ+frzFskDOkbzEuGv/8M9q+BI1vN24q/m4v6NR9wotekdgurq5dCZeqb/+H/PIZhlOh/qHfffZff/e53fPTRR9SvX/+M+z322GNMnDgx+tzn89GkSZOylCqF3tn6Ds+tfg6AG9vdyK8u/pV+CYqUM8MwyF+71hyM+umnGHl55ga7nfi+fUkeO4aEIUOsnRm1OrM7oFF38zboEcg7BjsXmT0m338GOQcLx53MM/ev1dwcCNtiEFzQH+LUO2WVUoWRunXr4nA4TukFOXz48Cm9JT/03nvvcfvtt/PBBx9w6aWXnnVfj8eDR/+zlpupW6byx6/+CMCtHW/loW4PKYiIlKPgwYNkzZxJ5owZBPecWMXW1awpyWPH4R09CteP/I6UChBXGzqONW+GAYe+OXE6J20FHN8Fa3bBmjcAGzTsYgaTFoOgySW6fPg8KlUYcbvddO/enQULFjBmzIkVXBcsWMCoUaPO+Lp3332X2267jXfffZeRI0eWvVoptXe/fTcaRO7sdCf3db1PQUSkHET8fnIWLiRz+gxyv/wyOieILS6OpBGXkzx2LLHduun/t8rCZoPUTuat30Pgz4bdX5o9JzsXmadyDqw3b8teBGeMOcakKJykXgR2ndauKKU+TTNx4kQmTJhAjx496N27N6+++ippaWncfffdgHmKZf/+/bz99tuAGURuuukm/vrXv3LJJZdEe1ViY2PxludS1nKKD7Z/wLOrngXgjk53KIiInCPDMCjYvIWs6dPJ+vhjIifPCdKjB96xY0kaPgx7fLyFVUqJeBKhzeXmDcCXbl4+XBROstNh5xfmDSC2tjnepMUg89ROrQusqbuaKvOkZ3/6059IT0+nY8eOvPjiiwwYMACAW265hd27d7No0SIABg0axOLFi0/5GTfffDNvvfVWid5Pl/aW3ozvZvDEcvPS6Zvb38wvevxCQUSkjELHjpE1axZZ02fg37492u5MTcU7ehTJY8bgbtbMwgqlXBkGZGw3Q8mOL2D3MghkF98nuSlcMAAu6GfekjWu8XQ0HXwNNnvHbB5f9jgGhgaripSREQqRs2QpWTOmk/3FIgiZK83a3G4SL70U79ixVWuBOim7cBD2rzvRa7JvdfGVh8HsKbmgnzkQ9oJ+mt+kkMJIDfXJrk94dOmjRIwI49uM5/FejyuIiJSCf8cOMqdPJ+ujWYQzTizcFtOxI96xY/COHIlDp5hrNn8O7F0Ju5aavSYH1oMRLr5PreY/CCeNrKnVYgojNdD83fP51ZJfETbCjGs1jid6P6F5RERKIOzz4ftkHlnTp5O/cWO03VG7Nt6rrsI7diwxbVpbWKFUav5sSFsJu08OJ5Hi+9RuUTycJDW0ptbzTGGkhlmybwkPfP4AISPEqAtH8XTfpxVERM7CCIXIXb6crJkzyf5sIUYgYG5wOEgYONCcE2TAAGxut7WFStVT4DspnCyF9I2nhpPkZubVOs16Q9M+ULeVecVPNaMwUoOsObiGuz+7G3/Yz4jmI5jUb5KmeBc5g4Lt28ma+RFZs2cRPnLiNIynVSu8o0fjvfoqnPXqWVihVDsFWSfCya6l5to6PwwncXXMcFJ0a3AROKr+4qUKIzXElqNbuP3T28kJ5jCo8SBeGPyCVt8V+YHQ8eP45nxM1owZFGzZEm13JCeTdOWVeMeM1tTscv4U+MxBsHtWmCFl/xoIFRTfxxUHjXuYvSbNekOjHuBJsKbec6AwUgPszNrJLZ/cwnH/cXqk9GDKpVOIcWrGQBEAIxAgZ8kSMmfOJGfxEihaIdfpJGHQQJJHj9ZpGKkcQn44sMGcFTatMKAUZBbfx+YwFwds2huaXgJNekJiqhXVlorCSDV3IOcAN31yE4fyDtG+TnteH/Y6Ce6ql5pFylN0UrKZM/F9/DHh48ej22I6dMA7ejRJV47EWauWhVWK/IhIBI58eyKc7FkBvn2n7udtCk0uhsY9zfvUyndqR2GkGsvIz+CWebewx7eH5t7m/Pvyf1MrRr9cpeYKHj6Mb/YcsmbOwP/d99F2R726eK+6Gu/oUcS01tUwUoVl7i0MJsth72o4vAX4wde3MwYadoXGF5s9J417QqK1ayIpjFRTvoCP2+bdxrbj22gY35B/j/g3qfGVv6tOpLxF14aZOZPcZV+af01SNCnZULyjRxPfpw82Z5kWJxep3Ap8sH8t7PvKDCf7vjr11A6YM8U27lkYTi421+Y5j70nCiPVUEGogLsW3MW6w+uoE1OHf4/4N82SNAW11ByGYZC/foN5GuaTT4hkn5iiO7ZLF7xjxpA04nIcNfj3hNRQkQgc/d4MJftWw96vztB7ElvYe9LdHBTbuAckNaqwy4oVRqqZcCTMLxb/goVpC0l0JfLm5W/SpnYbq8sSOS8C+/bjmzObrBkzCezZE213NmiAd9TVeEeNwtO8uYUVilRCJe09SUgxg0mvu6DFwHItoaTf3+q/rAIMw2DS6kksTFuIy+7ir0P+qiAi1V7Y58M3bx6+WbPJW7Mm2m6LjSVp2DC8Y0YT17MnNi3rLnJ6MUnmCsMXDjafn9x7sn8N7FsDhzZDziHY9jFc9BPLSlUYqQJe/+Z13tv2HjZsPNv/WS5OvdjqkkQqhBEIkLN0KVmzZpPzxRcnZkW12Yjr2RPvqFEkDhuGIyHe2kJFqiK7Heq1Nm9dbzDbAnnmJGz71phzmlhEYaSSm71jNn9d91cAfnXxr7j8gsstrkikfBmGQf6GDWTNmkX23E8IZ2VFt3latSTp6qvxXnklrgYNLKxSpJpyx5nzljS9xNIyFEYqseUHlvPEl08AcEuHW7ix/Y0WVyRSfgJ79pA1azZZs2cTTEuLtjvq1cU78kq8o67G07atZkUVqQEURiqprUe38tAXDxEyQoxoPoKHuj9kdUki5yx0/Di+Tz7B99GsYqvj2mJjSbzsUrxXjyK+9yXYHFpbSaQmURiphPZl7+OehfeQF8qjZ2pPnun7jFbglSor4veT88UismbNImfp0hPTstvtxPfujXfU1SQOHYo9XuNARGoqhZFKxhfwcc/Ce8jIz6BVrVa8NPgl3A6tnSFVixGJkL92LVmzZuGb92mx+UA87drhvfpqkkZegat+fQurFJHKQmGkEglGgkxcNJFdWbuoH1efKUOnkOhOtLoskRIr2L4d35yP8c2ZQ/DAgWi7MzUV71VXknTVVZqWXUROoTBSSRiGwR9W/oFV6auIdcbyj6H/ICXe2jUFREoisG8/vo8/xvfxx/i3b4+22+PjSRw+HO/VVxPX82LNByIiZ6QwUkm8veVtpn03DRs2/jTgT7St3dbqkkTOKHT0KL5P5uH7+GPy168/scHlImHAALwjryBhyBDsMTHWFSkiVYbCSCWwMG0hf1nzFwAevvhhBjUZZG1BIqcRzskhe8Fn+D7+mNwVKyAcNjfYbMT16oX3ypEkXnYZDq/X2kJFpMpRGLHYlqNbeGzpYxgYjG8znhvbaS4RqTwifj85S5bgm/MxOYsWYfj90W0xnTqZAeTyEbhSNBBVRMpOYcRCB3MPct/C+8gP5dOnYR8e7fmoJngSyxnhMHmrVpE152OyFywodiWMu3lzkq66Eu8VV+C+4ALrihSRakVhxCJ5wTzu+/w+DucfpmVyS/488M847frPIdYwDIOCr78m6+OP8X3yCeEjGdFtztRUkkZegXfkSDzt2ikwi0i507efBQzD4Ldf/pZvj31L7Zja/H3o33UJr5x3hmFQsGUL2fPm4ftkHsF9+6LbHF4viSMuxztyJLHdu+tKGBGpUAojFnht02vM3zMfp93Ji4NepFFCI6tLkhrCMAz827aZV8LM+4TgnhNrwtji4kgcOpSkkVeQ0KcPNrcm2xOR80Nh5Dz7Iu0L/rb+bwA83utxuqV0s7giqQn8331nrgnzyTwCu3ZF220xMSQMGkTS5ZeTMHAA9thYC6sUkZpKYeQ82pG5g8eWPQbA+Dbjuab1NRZXJNWZf+fOwgDyCYHvd0TbbW43CQMHkDRiBAkDB2pNGBGxXI0OI7+ZuYn5mw9hs4HdZsNus0Uf//DeXngPhc/t5r3DbsNlt+N02HA57LgcNpyFz90O897psGOQy6Kc35IbySXF3Z747HH844vv8TjteFwOYs5077IT43Tg+cG93a5BhHKqwO7d+ArHgPi3bYu221wu4vv3J2nE5SQMHoIjQQFERCqPGh1GsvJDHM72//iO5yxMbJO3cCYcJBJIZsf2sfw1vPOcfqLLYSsMJw48TjtxbgdxHidxLgfxHgexbifxbgexbgfxbmfhvYM4t5M4j8Pc3+0svD/5sRO3U4MVq5JAWhq+eZ/im/cJ/i1bT2xwuUjo04fEEZeTOHQojkQNkhaRyslmGIZhdRE/xufz4fV6ycrKIikpqdx+7r7jeWTlBzEMMAyIGEbhDcC8j0TMewPjpH3MgYARwyAUNghFDILhCMGwQSgcIRgxCIYihCJm27Jjb/BNzmwceBiS9DQJ9qYEw0WviVAQDOMPnXwfwR8K4y+8L3oeDJ+f/1Ruh52EGCcJnsJbjJPEwvsEj5PEGBeJZ9luPncR47LrMtAK4v/+e3zz55M9fwH+b789scHhIL53b5JGjCDx0qGaDVVELFXS7+8a3TPSuFYcjWtV7HvM2TmHf6bNBuCPA//A8AuGl/lnhSNGNKQUnHRfEIyQFwiRHwiTGwiTHwiR6w+THwyT6w+RFwiTFyi6/8Fjf4i8YJg8f5hAOAJAIBzhWG6AY7mBc/rsTrutWKhJinGRFFt0X3iLceItfOyNdUX38ca6iHc7dTqqkGEY+LdujQaQwM6TetYcDuJ79STx8stJvOwynLUq+B+1iEg5q9FhpKJtO7aNp5Y/BcCdne48pyAC4LDbCk+nlEd1pwqGI9Gwkl1g3nL8IXIKQuT4g6dpC5HtD5FTEDQfFxS2B0IYBoQiBpl5QTLzgmWqx26DxJjCkFIYYooCizfODDKnCzFF2z1ORzkfofPLiEQo+PprfPMXkD1/frF5QGwuF/F9+pA4bBgJQwYrgIhIlaYwUkF8AR8TF02kIFxAn4Z9+L8u/2d1ST/K5bDjjbXjjXXR4Bx69yMRg7xgOBpifIUhxVdgBpqs/CC+/CC+giBZ+aGTHgfxFT4PhCNEDMjKN9vLItblIDnODCvJcS6SY93m85MeJ8cWf14rzm3p6SUjHCZvzVqy588n+7PPCB06FN1mi4khoX9/M4AMGqgxICJSbSiMVICIEeHxZY+Tlp1Gg/gG/LH/H3HYq/Zf6aVht9uip2agbEvIFwTDp4aU6GMz4GTlmdt/uI8vP0jEgPxgmPysMOlZBaV6b7fTTvJJAcZbGFqS41wkx7lPDTeFzxM8zjKFGCMQIHfVajOALFxI+Nix6DZ7fDwJgwaZAaR/P+xxcaX++SIilZ3CSAV445s3WLR3ES67ixcHvUhyTLLVJVU5MS4HMS4H9ZNKH2YiEYOcgBlWjucFzFNF+UGyTnqcmRckK7/488y8AKGIQSAU4XC2v9RXWjntNrzRnhazl6VYL0xhcKkV5yY54idh41fYVyzBv2wZkZyc6M+xe70kDhlC4rDLiO/TB7vHU+pjICJSlSiMlLMVB1YUm2G1Q90OFldU89jtNnMMSYyLJrVL3pNgGAZ5gXBhOAmQdVJQOZ4XIKuw/US4CZKZH+B4XpBAKEIoYnA0N8DRMwz8rZufSa/0zfRJ30xyxg78Rji6LSsmka8v6MJ3bXtwvFUnkhJjSc5xk7wsjVpxLrxx7mjAKTrVlFjGnhgRkcpGYaQcpeek88iSR4gYEca0HMO41uOsLklKwWazEe9xEu9x0ii5dNOiFwTDhSElEB20m5XnJ/jdd8SvWU7dr1dRd3/xuWX2JdZnRWp7ljfoyLZaTTFshfO7fHfsNO9wKofddtKYl+I9MbWKemLiCh+f1DtT1tNJIiIVRWGknATCASYumshx/3Ha1W7Hr3v92uqS5DyKcTlI9TpIiXeSt3YdOZ8vJHvh58WugMFmI7ZLFxKHDiFhyFDatWhO/2C4sMflxCmlotNHx4s9LtpmPi4IRgj/SE/MmRSFmKIxMObjEwN6k+Pd0e21ThojoxAjIhVFYaSc/OmrP/HN0W/wery8OPhFYpxlG7gpVU/Y5yP3yy/JWbSInEWLCWdlRbfZPB7ie/cm8dKhJAwahLNu3WKvLRobk1LKsTEFhSEmOiamcMzLyeNffthTk5l/uhCTW+L3dNptxce9xLnw/kgvTHKcm3i3QyFGRM5KYaQczNs9j/e2vQfApH6TaJTQyOKKpCIZhkFgxw5yFi8mZ9Fi8tatg/CJ8R+O5GQSBg0iYegQEvr2rZArYM4lxBQFk+O5xXthMvMDxQb9FoWdk8fEZOQEyMgpXYhxOWx4T7qU+uRemFrxJ3peTu6FqRXnJk4hRqTGUBg5R2m+NH63/HcA3NHpDvo37m9tQVIhIn4/eatWkbNoMTmLFxPcv7/YdneLFiQMHEjikMHEdu2KzVk5/9cqOp2U6i19iClJL8zxvFMH9gbDBhk5fjJySnd1UlGIifa8nPT4RKAp3guTHOtSiBGpgirnb8wqIhAO8MvFvyQ3mEu3+t2qxMRmUnLB9HSz92PxEnJXrsTIz49us7lcxPXqRcLAgSQMGoi7SRMLK614MS4HDbyxNPCWfGCvYRgUBCPRXpgTPS+n9sIUXZ1U9DwQLnuIcTvsp8wNU+xx3Ekz+Z60FEFijBOXQ4tEilhBYeQc/HnNn9l6bCvJnmT+OOCPOO06nFWZEQiQv3EjOUuXkbN4Mf5t24ptd6akRMNH/CWXaAKyH2Gz2Yh1O4h1ly3EHD/DuJdivTE/2B4IRwiEIxzJ9nOkDCtyx7sdpywxkHSa4HLKmkqxLo2NETkH+vYso/m75/Put+8C8Gy/Z0mNT7W4IimLQFoaOcuWkbvsS/JWriSSl3dio91ObOfO0QDiadNGXzbnwckhpmEpLrE2DIP8wjExx0+aJ6bYGJhc8/RSdCbfwtl8c/whAHILF5ss7ay9YF6ldHJISTp5XaUfCTRJMS7cTvXKSM2lMFIGe7P38uTyJwG4reNtGidShYRzcsyxH4UBJLh3b7Htjlq1iO/bl4SBA4jv108L0FUhNlvRQpLOUoUYgFA4QnZBqNjSAlnFliMovP/B2kpF7cGwQThicLzwNFRZxLocJMU6SYwxTxkV3ScVPfY4SYxxkhDdbi4eefK+Os0kVZXCSCkFwgEeXvwwOcEcutTrwr1d77W6JDkLIxKhYPMWcr9cRs6yZeRv2Aih0IkdnE7iunYlvl8/4vv2JaZ9O2x2/UKvaZwOO7Xi3dSKL/2S2EWnlU4NLsHC9ZNCxdt+EHayC8x/j/nBMPnBMId8pT+9VCTGZS8WZpIKQ0uC5ywhp9i9s8qvdi1Vk8JIKb249kU2H92M1+Pl+YHP47K7rC5JTmIYBsE9e8hduYrcVSvJW7mK8PHjxfZxNWtKQt++xPfrR1zPXjgS4i2qVqqDE6eVSn+pNUA4YpBTcCKcFAUU8xb8wb3Ze5PjL749L2BeWl4QjFAQLNt4mSJuhz0aTIpCStHCl/EeJwk/fO5xkOBxEe9xmO0xZnu824nDrtOaUjIKI6WwZN8Spm6dCmicSGUSPHiQ3JVm8MhdtYpQenqx7fb4eOIuuYSEfmYAqe5XvkjV4rDb8BauN1RWoXAkGlDOFmZ8Jz029z+xb9G4mUA4UqaZfU8nzu0g3uMkMRpcTgowhaElwX0iwBTtF194Sqpoe7zHgVOnoKo1hZESysjP4DfLfgPAhPYTGNB4gMUV1VyhY8fIW73aDCArVhLYs6f4Di4XcZ07E3fJJcRf0ovYzp2xudSDJdWX02EvvGy59KeZioQjxikB5eTgkus374s/DpuPC4pvC0UMAPICYfIC4XPqqSkS47KT4HGR4HFEe17iPA7i3A7i3E7i3Q7iPIX3hQEm1l38efTeZb5WY2wqD4WREogYEX6z7Dcc9x+nTa02PNjtQatLqlFCx46Rt3Yt+WvWkLtqNf5vvy2+g91OTIcOxF9yCXGX9CKuWzfssaUbwChS0znsNryFV/qcC8Mw8IcixUNLQYjcgBlwcgsDTHbh9pMfF4Wa3EDha/xhAuEIcOIUVEZOeXxak9thJ87jMINNYZiJczmKB5eTgs7Zg4/5ONbl0OmpMlAYKYF3tr7Dlwe+xOPw8McBf8TtKPtfH/LjggcOkLdmDXlr1pK3di2BHTtO2cfTqhVxvS8xA0iPHjiSkiyoVER+yGazRZcrqJvgOeef5w+FowHm5N6XvED4xH0gRH7A3C8vECI3ECavMNQU9c6Yz8PFem4C4QiBvAiZZbwC6kzcDrs5jshl9tzEuIrCivk4rnDbyY+Lxh2d/JqicBPrthNb9NjlIMZlr3bTDCiM/Ihvj33Li2tfBODhHg9zYfKFFldUvRiGQWDXLvK+WkPe2jXkrVlD6ED6Kft5WrUktnt34i6+mPhevU5ZcE5EqieP04HH6aB2Ga50OpNAKEJeNKgU9tYEQuQV3f8gwBTtUxR08n/wPM8fIi8YxjAKf344QiA/QlZ++Yack/1Y0IkGnMI2j+tEAIp124lxOqKhMcZlhqeGybEkxVhzSlth5CzyQ/k8suQRgpEgg5oM4to211pdUpUXycujYPNm8jZsIH/jRvLXrSd87FjxnRwOYtq3J65HD+J6dCe2WzfN9yEi5cbttON2ukkux0mUi05P5QfC5AXD5AfCFATNUJMfNAOMeW8GoYLCS7nzCvfLD5y8bzh6qXf+SW3+UCT6fkXby9OL4zszpmvjcv2ZJaUwchZ//urP7MzaSb3Yejzd5+lq1y1W0QzDIJiWZoaODRvI37CRgm3biq1wC2DzeIjt3NkMHt27E9elC/Z4XW4rIlXHyaenKupPp3DEiIaYopCSFzhN8CkKP4FIsSBUEIwU3hfdij9P8Fg30F9h5Aw+T/uc97e/D8Az/Z6hVoz+Mv8x4awsCrZsKQwfG8nfuPGUOT4AnPXrE9ulC7GdOxPbtSsxHTtgd2scjojI2Tjstuilz9VN9ftE5eBI3pHodO83t7+ZPg37WFxR5RP2+SjYsoWCzZvJ/+YbCjZvIZiWdsp+NpeLmA4dCoOHGUCcqanqZRIRkSiFkR8wDIMnlj9Bpj+TtrXbcn+3+60uyXJm8NhKweZvzPCxeTPBPacGDwBX48bEdOpIXJcuxHbpgqddO/V6iIjIWSmM/MCH333Isv3LcNvdTOo3qUZdxmuEQgT27MG/bRsF27ab99u3nfbqFgBXo0bEdOxITIcOxHRoT0z79hpoKiIipaYwcpK9vr08/9XzANzf7X5a1mppcUUVwzAMQoePENi5g4Jt2/AXBg//999jBE4/BbSrYcMTwaNjBwUPEREpNwojhcKRML/58jfkh/LpkdKDCe0nWF3SOTOCQQJ79xLYuRP/jp3m/a5dBHbuJJJz+mkMbXFxxLRqhadNGzxtWhPTpg2e1q01qZiIiFQYhZFCb295m3WH1xHnjOOZfs9gt1WNNQuMYJDggQME0vYS3LeXQNpeAnvTCOzcRSAtDUKh07/Q4cDdpAme1q2LhQ5X48bY7FXjs4uISPVQpjAyefJknn/+edLT0+nQoQMvvfQS/fv3P+P+ixcvZuLEiWzevJmGDRvyq1/9irvvvrvMRZe37ce387f1fwPgkZ6P0CihkcUVnWCEQoSOHCGYfpDQwXQC+/cT3LuPwN40gml7CaanQyRyxtfb4uLwNG+Ou0ULPBe2wN3cvHc1baqBpSIiUimUOoy89957PPjgg0yePJm+ffvyyiuvMGLECLZs2ULTpk1P2X/Xrl1cccUV3HnnnUydOpUvv/ySe+65h3r16jFu3Lhy+RDnIhgO8viyxwlGggxsPJAxLcecl/c1DINIdjahjKOEjx0llHGU0KGDBNMPEjx4kFB6unl/5MhZwwaYk4a5mjTG3aQp7qZNcDVugrt5czwXtsCZkqKeDhERqdRshlE0m37J9OrVi27dujFlypRoW7t27Rg9ejSTJk06Zf9HHnmEWbNmsXXr1mjb3XffzcaNG1mxYkWJ3tPn8+H1esnKyiKpnMcuvLzuZV7b9BrJnmRmjJpB3djSr3liBAKEfT7Cvmwi2b7Cxz4i2dmEs3yEfVmEjx0ndDSD8NFjhI4eJXz0KEawhOsWOJ246tfH2aABrgYNTgSOpk1wNWmKs15dBQ4REal0Svr9XaqekUAgwNq1a3n00UeLtQ8bNozly5ef9jUrVqxg2LBhxdqGDx/O66+/TjAYxOU6dfpZv9+P3+8v9mEqwqb//I3Qp69we8Sgb2obgpv/yoFwBMJhjHAYImGMUBjD7ydSUECkIB8jv4BIQQFGfj4Rvx8jP7/koeI07AkJOOvUwVGnDs6U+rhSG+BqkIozJdW8T03FWVdhQ0REqq9ShZGMjAzC4TApKSnF2lNSUjh48OBpX3Pw4MHT7h8KhcjIyKBBgwanvGbSpEk89dRTpSmt1AzDYMucqYzYWHQK5Esyz+UH2mzYExNxJCZiT0rCkZSEIykRe2ISjsREHLVr46xbGDoKb446dbB7zn2JbRERkaqsTANYfziVt2EYZ53e+3T7n669yGOPPcbEiROjz30+H02aNClLqWetqes1d7OqwfsMbjYUjzsWm8MBdgc2hx0cDmx2Bzjs2GNiscfGYCu698QUPo/BHhtr3hIT1XshIiJSBqUKI3Xr1sXhcJzSC3L48OFTej+KpKamnnZ/p9NJnTp1Tvsaj8eD5zz0GLT+ya20/smtFf4+IiIicmal+lPe7XbTvXt3FixYUKx9wYIF9Olz+sXkevfufcr+8+fPp0ePHqcdLyIiIiI1S6nPK0ycOJF//etfvPHGG2zdupWHHnqItLS06Lwhjz32GDfddFN0/7vvvps9e/YwceJEtm7dyhtvvMHrr7/OL3/5y/L7FCIiIlJllXrMyPjx4zl69ChPP/006enpdOzYkblz59KsWTMA0tPTSTtpKfnmzZszd+5cHnroIf7xj3/QsGFDXn755Uoxx4iIiIhYr9TzjFihIucZERERkYpR0u9vXf4hIiIillIYEREREUspjIiIiIilFEZERETEUgojIiIiYimFEREREbGUwoiIiIhYSmFERERELKUwIiIiIpYq9XTwViiaJNbn81lciYiIiJRU0ff2j032XiXCSHZ2NgBNmjSxuBIREREprezsbLxe7xm3V4m1aSKRCAcOHCAxMRGbzVZuP9fn89GkSRP27t2rNW8qmI71+aHjfH7oOJ8fOs7nT0Uda8MwyM7OpmHDhtjtZx4ZUiV6Rux2O40bN66wn5+UlKR/6OeJjvX5oeN8fug4nx86zudPRRzrs/WIFNEAVhEREbGUwoiIiIhYqkaHEY/Hw5NPPonH47G6lGpPx/r80HE+P3Sczw8d5/PH6mNdJQawioiISPVVo3tGRERExHoKIyIiImIphRERERGxlMKIiIiIWKpGh5HJkyfTvHlzYmJi6N69O0uXLrW6pCpj0qRJXHzxxSQmJlK/fn1Gjx7Ntm3biu1jGAa/+93vaNiwIbGxsQwaNIjNmzcX28fv93PfffdRt25d4uPjufrqq9m3b9/5/ChVyqRJk7DZbDz44IPRNh3n8rN//35uvPFG6tSpQ1xcHF26dGHt2rXR7TrW5y4UCvGb3/yG5s2bExsbS4sWLXj66aeJRCLRfXScy2bJkiVcddVVNGzYEJvNxsyZM4ttL6/jevz4cSZMmIDX68Xr9TJhwgQyMzPPrXijhvrf//5nuFwu47XXXjO2bNliPPDAA0Z8fLyxZ88eq0urEoYPH268+eabxjfffGNs2LDBGDlypNG0aVMjJycnus9zzz1nJCYmGtOmTTM2bdpkjB8/3mjQoIHh8/mi+9x9991Go0aNjAULFhjr1q0zBg8ebHTu3NkIhUJWfKxKbfXq1cYFF1xgXHTRRcYDDzwQbddxLh/Hjh0zmjVrZtxyyy3GqlWrjF27dhmfffaZ8f3330f30bE+d88884xRp04dY86cOcauXbuMDz74wEhISDBeeuml6D46zmUzd+5c4/HHHzemTZtmAMaMGTOKbS+v43r55ZcbHTt2NJYvX24sX77c6Nixo3HllVeeU+01Noz07NnTuPvuu4u1tW3b1nj00UctqqhqO3z4sAEYixcvNgzDMCKRiJGammo899xz0X0KCgoMr9dr/POf/zQMwzAyMzMNl8tl/O9//4vus3//fsNutxvz5s07vx+gksvOzjZatWplLFiwwBg4cGA0jOg4l59HHnnE6Nev3xm361iXj5EjRxq33XZbsbaxY8caN954o2EYOs7l5YdhpLyO65YtWwzAWLlyZXSfFStWGIDx7bfflrneGnmaJhAIsHbtWoYNG1asfdiwYSxfvtyiqqq2rKwsAGrXrg3Arl27OHjwYLFj7PF4GDhwYPQYr127lmAwWGyfhg0b0rFjR/13+IH/+7//Y+TIkVx66aXF2nWcy8+sWbPo0aMHP/nJT6hfvz5du3bltddei27XsS4f/fr1Y+HChWzfvh2AjRs3smzZMq644gpAx7milNdxXbFiBV6vl169ekX3ueSSS/B6ved07KvEQnnlLSMjg3A4TEpKSrH2lJQUDh48aFFVVZdhGEycOJF+/frRsWNHgOhxPN0x3rNnT3Qft9tNrVq1TtlH/x1O+N///se6dev46quvTtmm41x+du7cyZQpU5g4cSK//vWvWb16Nffffz8ej4ebbrpJx7qcPPLII2RlZdG2bVscDgfhcJg//OEP/PSnPwX0b7qilNdxPXjwIPXr1z/l59evX/+cjn2NDCNFbDZbseeGYZzSJj/u3nvv5euvv2bZsmWnbCvLMdZ/hxP27t3LAw88wPz584mJiTnjfjrO5y4SidCjRw+effZZALp27crmzZuZMmUKN910U3Q/Hetz89577zF16lT++9//0qFDBzZs2MCDDz5Iw4YNufnmm6P76ThXjPI4rqfb/1yPfY08TVO3bl0cDscpKe7w4cOnpEY5u/vuu49Zs2bxxRdf0Lhx42h7amoqwFmPcWpqKoFAgOPHj59xn5pu7dq1HD58mO7du+N0OnE6nSxevJiXX34Zp9MZPU46zueuQYMGtG/fvlhbu3btSEtLA/Rvurw8/PDDPProo1x33XV06tSJCRMm8NBDDzFp0iRAx7milNdxTU1N5dChQ6f8/CNHjpzTsa+RYcTtdtO9e3cWLFhQrH3BggX06dPHoqqqFsMwuPfee5k+fTqff/45zZs3L7a9efPmpKamFjvGgUCAxYsXR49x9+7dcblcxfZJT0/nm2++0X+HQkOHDmXTpk1s2LAheuvRowc33HADGzZsoEWLFjrO5aRv376nXJ6+fft2mjVrBujfdHnJy8vDbi/+1eNwOKKX9uo4V4zyOq69e/cmKyuL1atXR/dZtWoVWVlZ53bsyzz0tYorurT39ddfN7Zs2WI8+OCDRnx8vLF7926rS6sSfv7znxter9dYtGiRkZ6eHr3l5eVF93nuuecMr9drTJ8+3di0aZPx05/+9LSXkTVu3Nj47LPPjHXr1hlDhgyp8Zfn/ZiTr6YxDB3n8rJ69WrD6XQaf/jDH4zvvvvOeOedd4y4uDhj6tSp0X10rM/dzTffbDRq1Ch6ae/06dONunXrGr/61a+i++g4l012draxfv16Y/369QZgvPDCC8b69eujU1aU13G9/PLLjYsuushYsWKFsWLFCqNTp066tPdc/OMf/zCaNWtmuN1uo1u3btHLUuXHAae9vfnmm9F9IpGI8eSTTxqpqamGx+MxBgwYYGzatKnYz8nPzzfuvfdeo3bt2kZsbKxx5ZVXGmlpaef501QtPwwjOs7lZ/bs2UbHjh0Nj8djtG3b1nj11VeLbdexPnc+n8944IEHjKZNmxoxMTFGixYtjMcff9zw+/3RfXScy+aLL7447e/lm2++2TCM8juuR48eNW644QYjMTHRSExMNG644Qbj+PHj51S7zTAMo+z9KiIiIiLnpkaOGREREZHKQ2FERERELKUwIiIiIpZSGBERERFLKYyIiIiIpRRGRERExFIKIyIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERS/0/ClrgG5T7s4cAAAAASUVORK5CYII=\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T16:09:35.815808</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m311a789cea\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m311a789cea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.273255\" xlink:href=\"#m311a789cea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2000 -->\n      <g transform=\"translate(98.548255 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.210658\" xlink:href=\"#m311a789cea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4000 -->\n      <g transform=\"translate(163.485658 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.148061\" xlink:href=\"#m311a789cea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6000 -->\n      <g transform=\"translate(228.423061 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.085464\" xlink:href=\"#m311a789cea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8000 -->\n      <g transform=\"translate(293.360464 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.022866\" xlink:href=\"#m311a789cea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10000 -->\n      <g transform=\"translate(355.116616 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"254.492188\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m44aed138f1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m44aed138f1\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m44aed138f1\" y=\"212.562395\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 216.361613)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m44aed138f1\" y=\"163.908789\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 167.708008)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m44aed138f1\" y=\"115.255184\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 119.054402)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m44aed138f1\" y=\"66.601578\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 70.400797)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m44aed138f1\" y=\"17.947973\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 21.747192)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pc0b6b3ca83)\" d=\"M 46.335852 236.889197 \nL 47.732006 236.999956 \nL 49.225567 237.345059 \nL 50.913939 237.967477 \nL 52.926999 238.955569 \nL 55.556963 240.512277 \nL 60.622081 243.8358 \nL 65.362511 246.823285 \nL 68.999006 248.852844 \nL 72.473157 250.538639 \nL 75.979777 251.992821 \nL 79.64874 253.27125 \nL 83.577453 254.400724 \nL 87.863321 255.397419 \nL 92.63622 256.2754 \nL 98.090962 257.048027 \nL 104.487297 257.722706 \nL 112.182379 258.302546 \nL 121.760646 258.791385 \nL 134.16369 259.190449 \nL 151.177289 259.501382 \nL 176.502876 259.723038 \nL 220.075874 259.853671 \nL 330.729208 259.898563 \nL 370.990398 259.899746 \nL 370.990398 259.899746 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pc0b6b3ca83)\" d=\"M 46.335852 42.274781 \nL 48.1541 65.270571 \nL 49.972347 85.518948 \nL 51.823063 103.678657 \nL 53.673779 119.699384 \nL 55.556963 134.10633 \nL 57.472617 147.070875 \nL 59.420739 158.74788 \nL 61.40133 169.275362 \nL 63.414389 178.774981 \nL 65.427449 187.224844 \nL 67.472977 194.874675 \nL 69.550974 201.801061 \nL 71.661439 208.071342 \nL 73.804374 213.74497 \nL 75.947308 218.802605 \nL 78.122711 223.379736 \nL 80.330583 227.516772 \nL 82.570923 231.250583 \nL 84.843732 234.614976 \nL 87.181479 237.681263 \nL 89.551694 240.429035 \nL 91.986846 242.917746 \nL 94.519405 245.1896 \nL 97.14937 247.249542 \nL 99.876741 249.104914 \nL 102.766455 250.800382 \nL 105.818513 252.331391 \nL 109.065383 253.710656 \nL 112.572003 254.956981 \nL 116.40331 256.078893 \nL 120.624241 257.078371 \nL 125.332203 257.959647 \nL 130.65707 258.725725 \nL 136.826123 259.383346 \nL 144.16405 259.935033 \nL 153.222817 260.383507 \nL 164.944019 260.72943 \nL 181.438119 260.977529 \nL 208.257266 261.132925 \nL 267.67499 261.204857 \nL 370.990398 261.215519 \nL 370.990398 261.215519 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pc0b6b3ca83)\" d=\"M 46.335852 261.216 \nL 47.926819 241.283523 \nL 49.485316 224.461954 \nL 51.043814 210.007728 \nL 52.569843 197.88703 \nL 54.063403 187.752488 \nL 55.524495 179.310506 \nL 56.953118 172.312273 \nL 58.349272 166.54656 \nL 59.712957 161.83359 \nL 61.044174 158.019913 \nL 62.310453 155.042894 \nL 63.544264 152.694003 \nL 64.713137 150.924689 \nL 65.849542 149.591611 \nL 66.953478 148.63013 \nL 68.024945 147.984217 \nL 69.096412 147.597229 \nL 70.167879 147.447054 \nL 71.271815 147.518393 \nL 72.440688 147.821115 \nL 73.706968 148.386995 \nL 75.103122 149.266618 \nL 76.629151 150.497768 \nL 78.349992 152.177553 \nL 80.330583 154.431911 \nL 82.63586 157.405189 \nL 85.428169 161.388494 \nL 88.999726 166.896435 \nL 94.714217 176.178607 \nL 103.188548 189.884525 \nL 108.058854 197.322411 \nL 112.377191 203.519877 \nL 116.435779 208.962321 \nL 120.364492 213.861375 \nL 124.195798 218.286217 \nL 127.994636 222.334858 \nL 131.761006 226.026407 \nL 135.527375 229.41084 \nL 139.358682 232.555337 \nL 143.222457 235.440604 \nL 147.183639 238.121225 \nL 151.242227 240.598668 \nL 155.430689 242.893555 \nL 159.749026 245.00614 \nL 164.262176 246.965635 \nL 169.002606 248.77889 \nL 173.970318 250.43999 \nL 179.262716 251.972944 \nL 184.91227 253.375001 \nL 190.983917 254.650129 \nL 197.575063 255.804396 \nL 204.815584 256.842818 \nL 212.835353 257.76438 \nL 221.861652 258.57321 \nL 232.186699 259.27006 \nL 244.297525 259.857955 \nL 258.90844 260.336663 \nL 277.350663 260.708311 \nL 302.319094 260.974838 \nL 340.599693 261.13903 \nL 370.990398 261.184923 \nL 370.990398 261.184923 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pc0b6b3ca83)\" d=\"M 46.335852 261.216 \nL 47.082632 261.107791 \nL 47.861881 260.764512 \nL 48.706067 260.146117 \nL 49.680129 259.139205 \nL 50.784064 257.652188 \nL 52.017875 255.600241 \nL 53.446498 252.771378 \nL 55.102402 248.969261 \nL 57.018055 243.98669 \nL 59.290864 237.427517 \nL 62.083172 228.654551 \nL 65.784604 216.240762 \nL 73.512155 189.307175 \nL 79.38899 169.275268 \nL 83.869671 154.776944 \nL 87.89579 142.489355 \nL 91.662159 131.696677 \nL 95.266185 122.032448 \nL 98.772805 113.258701 \nL 102.182019 105.317596 \nL 105.558764 98.010659 \nL 108.90304 91.302916 \nL 112.214847 85.156813 \nL 115.494186 79.533837 \nL 118.773525 74.346583 \nL 122.052864 69.5693 \nL 125.364672 65.134591 \nL 128.708948 61.027377 \nL 132.085693 57.231824 \nL 135.494906 53.73175 \nL 138.969057 50.481437 \nL 142.508146 47.472417 \nL 146.14464 44.671601 \nL 149.878541 42.075437 \nL 153.742317 39.659985 \nL 157.735967 37.424984 \nL 161.924429 35.33765 \nL 166.307704 33.404784 \nL 170.91826 31.617714 \nL 175.788565 29.971076 \nL 180.951088 28.461593 \nL 186.470768 27.079795 \nL 192.477477 25.808734 \nL 199.003686 24.659196 \nL 206.146801 23.62963 \nL 214.069164 22.714802 \nL 223.095463 21.902909 \nL 233.290635 21.212496 \nL 245.271586 20.627773 \nL 259.785095 20.14887 \nL 278.16238 19.775468 \nL 303.228218 19.505988 \nL 341.995847 19.339993 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_17\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_18\"/>\n    <g id=\"text_13\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_19\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_20\"/>\n    <g id=\"text_14\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_21\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_22\"/>\n    <g id=\"text_15\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_23\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_24\"/>\n    <g id=\"text_16\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pc0b6b3ca83\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     }
diff --git a/examples/ode/lorenz63/Lorenz63Train_fit.ipynb b/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
index 7bf1ce03..76ae7e99 100644
--- a/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
@@ -50,7 +50,7 @@
   },
   {
    "source": [
-    "# 4th Order Runge-Kutta - Data Generation"
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
    ],
    "cell_type": "markdown",
    "metadata": {}
@@ -616,14 +616,14 @@
   },
   {
    "source": [
-    "# Re-calculate using 4th Order Runge-Kutta"
+    "# Predictions for nt = 10000"
    ],
    "cell_type": "markdown",
    "metadata": {}
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -632,7 +632,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -649,7 +649,7 @@
       ]
      },
      "metadata": {},
-     "execution_count": 11
+     "execution_count": 14
     }
    ],
    "source": [
@@ -658,21 +658,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "output_type": "stream",
      "name": "stderr",
      "text": [
-      "<ipython-input-12-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+      "<ipython-input-15-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
      ]
     },
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:36:15.230563</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m25c262da56\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.168785\" xlink:href=\"#m25c262da56\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(43.616441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"115.192178\" xlink:href=\"#m25c262da56\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(107.821084 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.215571\" xlink:href=\"#m25c262da56\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(173.034321 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"237.238963\" xlink:href=\"#m25c262da56\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(234.057713 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"298.262356\" xlink:href=\"#m25c262da56\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(291.899856 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"359.285749\" xlink:href=\"#m25c262da56\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(352.923249 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m0ada042b11\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ada042b11\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ada042b11\" y=\"221.040924\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 5 -->\n      <g transform=\"translate(13.5625 224.840142)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ada042b11\" y=\"180.865847\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 184.665066)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ada042b11\" y=\"140.690771\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 15 -->\n      <g transform=\"translate(7.2 144.48999)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ada042b11\" y=\"100.515695\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 104.314914)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ada042b11\" y=\"60.340619\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 25 -->\n      <g transform=\"translate(7.2 64.139837)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m0ada042b11\" y=\"20.165542\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 23.964761)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p56046b6809)\" d=\"M 188.420249 261.216 \nL 183.354618 261.143015 \nL 183.43252 261.115768 \nL 186.115333 260.896153 \nL 191.735012 260.3656 \nL 196.729447 259.712785 \nL 203.346685 258.571762 \nL 208.889725 257.370515 \nL 215.533268 255.632791 \nL 219.326843 254.493417 \nL 223.468655 253.126169 \nL 227.984798 251.487338 \nL 232.901391 249.525683 \nL 238.243818 247.181509 \nL 244.035685 244.385832 \nL 250.297384 241.059723 \nL 257.044231 237.114014 \nL 264.284061 232.449592 \nL 272.014131 226.958623 \nL 280.217339 220.527096 \nL 288.857567 213.03923 \nL 297.874349 204.384311 \nL 307.176724 194.466537 \nL 316.636882 183.218323 \nL 326.083922 170.617198 \nL 335.298758 156.705653 \nL 344.011511 141.612336 \nL 351.903076 125.571601 \nL 358.61273 108.93667 \nL 363.753851 92.180574 \nL 366.938721 75.878867 \nL 367.812273 60.670057 \nL 366.092172 47.194049 \nL 361.610045 36.015957 \nL 354.346268 27.549435 \nL 344.450056 21.997899 \nL 332.238173 19.329839 \nL 318.169939 19.296 \nL 302.802074 21.483496 \nL 286.731825 25.391181 \nL 270.53962 30.505969 \nL 254.741299 36.363649 \nL 239.756291 42.585434 \nL 225.893253 48.89056 \nL 213.350854 55.090843 \nL 202.229316 61.074882 \nL 192.547788 66.788747 \nL 184.263577 72.217572 \nL 177.29049 77.370383 \nL 171.51471 82.268912 \nL 166.807634 86.939917 \nL 163.035654 91.410464 \nL 160.067222 95.705319 \nL 157.777646 99.845753 \nL 156.052085 103.849238 \nL 154.787178 107.729719 \nL 153.891667 111.498018 \nL 153.286303 115.162409 \nL 152.903278 118.729145 \nL 152.685347 122.202917 \nL 152.562287 128.884699 \nL 152.655869 146.933974 \nL 152.426289 152.31132 \nL 151.968228 157.375932 \nL 151.254503 162.128937 \nL 150.265224 166.56907 \nL 148.982333 170.692049 \nL 147.386243 174.489696 \nL 146.463693 176.26265 \nL 145.453833 177.9489 \nL 144.353053 179.54581 \nL 143.157431 181.050268 \nL 141.862729 182.458604 \nL 140.464408 183.76655 \nL 138.957647 184.969155 \nL 137.337362 186.060727 \nL 135.598251 187.034744 \nL 133.734842 187.883766 \nL 131.74155 188.599378 \nL 129.612776 189.172087 \nL 127.343001 189.591234 \nL 124.926906 189.844934 \nL 122.359547 189.920006 \nL 119.636535 189.801922 \nL 116.754275 189.474798 \nL 113.710223 188.921407 \nL 110.503238 188.123266 \nL 107.133938 187.060775 \nL 103.605161 185.713457 \nL 99.922438 184.060318 \nL 96.094567 182.080315 \nL 92.134224 179.75305 \nL 88.058616 177.059588 \nL 83.890151 173.98353 \nL 79.657122 170.51231 \nL 75.394331 166.638694 \nL 71.143605 162.36246 \nL 66.954159 157.69226 \nL 62.88269 152.647479 \nL 58.993119 147.260025 \nL 55.355923 141.575816 \nL 52.046861 135.65576 \nL 49.145117 129.57602 \nL 46.730814 123.4272 \nL 44.881832 117.312403 \nL 43.670135 111.34398 \nL 43.157727 105.638974 \nL 43.392573 100.313627 \nL 44.404726 95.477213 \nL 46.20324 91.225822 \nL 48.774056 87.636878 \nL 52.079358 84.76485 \nL 56.058447 82.63881 \nL 60.630243 81.262021 \nL 65.697198 80.613673 \nL 71.150239 80.652232 \nL 76.874313 81.32009 \nL 82.753976 82.548726 \nL 88.678531 84.263857 \nL 94.546373 86.390036 \nL 100.26823 88.854373 \nL 105.769225 91.58916 \nL 110.989795 94.533633 \nL 115.885623 97.634686 \nL 120.426744 100.847003 \nL 124.596094 104.132684 \nL 128.387718 107.460525 \nL 131.804798 110.80521 \nL 134.85771 114.146415 \nL 137.562175 117.467988 \nL 139.937608 120.757179 \nL 142.005697 124.003994 \nL 143.789226 127.200633 \nL 145.311124 130.341042 \nL 146.593747 133.420548 \nL 147.658349 136.435533 \nL 148.52472 139.383231 \nL 149.210946 142.261512 \nL 149.733303 145.068744 \nL 150.106211 147.803654 \nL 150.342259 150.465255 \nL 150.452268 153.052733 \nL 150.32922 158.002595 \nL 149.792302 162.64803 \nL 148.875601 166.983114 \nL 147.595657 170.999801 \nL 146.820612 172.885315 \nL 145.954555 174.68656 \nL 144.995912 176.401316 \nL 143.942486 178.026961 \nL 142.791526 179.560423 \nL 141.539776 180.998115 \nL 140.18352 182.335869 \nL 138.71864 183.568881 \nL 137.140658 184.691632 \nL 135.444802 185.697817 \nL 133.626073 186.580264 \nL 131.679314 187.330857 \nL 129.599307 187.940455 \nL 127.38087 188.398805 \nL 125.019008 188.694489 \nL 122.509042 188.814848 \nL 119.846811 188.745944 \nL 117.028898 188.472536 \nL 114.052889 187.978118 \nL 110.917678 187.244973 \nL 107.623835 186.25432 \nL 104.17402 184.986527 \nL 100.573453 183.421448 \nL 96.83045 181.53887 \nL 92.956993 179.319137 \nL 88.96935 176.743934 \nL 84.888726 173.797286 \nL 80.741898 170.46674 \nL 76.56181 166.744786 \nL 72.388089 162.630428 \nL 68.267397 158.130924 \nL 64.253554 153.263559 \nL 60.407351 148.057339 \nL 56.795936 142.554461 \nL 53.491704 136.811324 \nL 50.570639 130.898863 \nL 48.109977 124.902011 \nL 46.185374 118.917987 \nL 44.867422 113.053502 \nL 44.217904 107.420633 \nL 44.285877 102.131823 \nL 45.103979 97.29409 \nL 46.685281 93.00319 \nL 49.021124 89.338201 \nL 52.08015 86.357178 \nL 55.808819 84.094402 \nL 60.133478 82.559546 \nL 64.963713 81.738754 \nL 70.196888 81.597468 \nL 75.723234 82.084514 \nL 81.43124 83.136891 \nL 87.212626 84.684652 \nL 92.966724 86.655429 \nL 98.603847 88.978219 \nL 104.047559 91.586187 \nL 109.2359 94.418553 \nL 114.12155 97.421615 \nL 118.671225 100.549074 \nL 122.864454 103.761774 \nL 126.691958 107.027195 \nL 130.153829 110.318699 \nL 133.25766 113.614709 \nL 136.016759 116.897923 \nL 138.448506 120.154562 \nL 140.572921 123.373729 \nL 142.411469 126.546859 \nL 143.986072 129.667208 \nL 145.318352 132.72951 \nL 146.429057 135.729668 \nL 147.337658 138.664485 \nL 148.062076 141.531456 \nL 148.618538 144.328626 \nL 149.021502 147.054456 \nL 149.283663 149.707696 \nL 149.41599 152.287312 \nL 149.427815 154.792408 \nL 149.119671 159.575773 \nL 148.40501 164.051078 \nL 147.310259 168.210294 \nL 146.624135 170.168144 \nL 145.845783 172.042638 \nL 144.974455 173.831769 \nL 144.008723 175.533168 \nL 142.946544 177.144062 \nL 141.785319 178.661225 \nL 140.521944 180.08091 \nL 139.15287 181.398787 \nL 137.67415 182.609883 \nL 136.081503 183.70852 \nL 134.37037 184.688222 \nL 132.535992 185.54165 \nL 130.573486 186.260542 \nL 128.477949 186.835604 \nL 126.244561 187.256474 \nL 123.868744 187.51163 \nL 121.346295 187.588373 \nL 118.6736 187.472757 \nL 115.847871 187.149632 \nL 112.867399 186.602655 \nL 109.731885 185.814399 \nL 106.442803 184.766513 \nL 103.003806 183.439969 \nL 99.421221 181.815443 \nL 95.704552 179.873785 \nL 91.86705 177.59668 \nL 87.926301 174.96747 \nL 83.904857 171.972163 \nL 79.830803 168.600629 \nL 75.738319 164.848016 \nL 71.668071 160.716279 \nL 67.667508 156.215832 \nL 63.790845 151.367218 \nL 60.098758 146.202622 \nL 56.657637 140.767131 \nL 53.538343 135.11948 \nL 50.814459 129.332098 \nL 48.559882 123.49028 \nL 46.845962 117.690255 \nL 45.738134 112.036129 \nL 45.292291 106.63581 \nL 45.551137 101.595995 \nL 46.540826 97.016759 \nL 48.268236 92.986071 \nL 50.719226 89.574966 \nL 53.858121 86.833818 \nL 57.628564 84.790183 \nL 61.955748 83.448429 \nL 66.749948 82.791161 \nL 71.910878 82.782119 \nL 77.332645 83.370192 \nL 82.908714 84.493894 \nL 88.53652 86.085961 \nL 94.121411 88.077427 \nL 99.579609 90.400984 \nL 104.840189 92.993519 \nL 109.846026 95.797763 \nL 114.553844 98.763139 \nL 118.933522 101.84597 \nL 122.966891 105.009292 \nL 126.646175 108.222298 \nL 129.972256 111.459642 \nL 132.952932 114.700726 \nL 135.601234 117.92892 \nL 137.933916 121.130923 \nL 139.970116 124.29613 \nL 141.730253 127.416126 \nL 143.23512 130.484245 \nL 144.505173 133.495245 \nL 145.560016 136.444974 \nL 146.418014 139.330151 \nL 147.096064 142.148164 \nL 147.609441 144.896937 \nL 147.971737 147.574782 \nL 148.194871 150.180299 \nL 148.289123 152.71229 \nL 148.263214 155.169678 \nL 148.124392 157.551448 \nL 147.530285 162.084048 \nL 146.539377 166.301133 \nL 145.900596 168.287972 \nL 145.167335 170.191439 \nL 144.339389 172.009527 \nL 143.415843 173.739899 \nL 142.39513 175.379828 \nL 141.275096 176.926155 \nL 140.053067 178.375235 \nL 138.7259 179.722874 \nL 137.290039 180.964253 \nL 135.741586 182.093894 \nL 134.07635 183.105558 \nL 132.289938 183.992188 \nL 130.377818 184.745846 \nL 128.335425 185.357628 \nL 126.158279 185.817602 \nL 123.842107 186.114757 \nL 121.383005 186.236964 \nL 118.77762 186.170918 \nL 116.023386 185.902192 \nL 113.118755 185.415222 \nL 110.063518 184.693433 \nL 106.859152 183.719393 \nL 103.50919 182.475033 \nL 100.01969 180.941993 \nL 96.399709 179.102081 \nL 92.661833 176.937887 \nL 88.822741 174.433512 \nL 84.903775 171.575537 \nL 80.93149 168.354124 \nL 76.938155 164.764292 \nL 72.962174 160.807382 \nL 69.048324 156.492558 \nL 65.247805 151.838373 \nL 61.61793 146.874204 \nL 58.221539 141.641447 \nL 55.125837 136.194293 \nL 52.400824 130.599876 \nL 50.117137 124.937582 \nL 48.343414 119.297479 \nL 47.143241 113.777605 \nL 46.571728 108.480351 \nL 46.672141 103.507922 \nL 47.472679 98.957375 \nL 48.983796 94.915485 \nL 51.196355 91.45405 \nL 54.080885 88.626221 \nL 57.588117 86.464043 \nL 61.650799 84.977768 \nL 66.186653 84.156685 \nL 71.102344 83.971476 \nL 76.297971 84.377665 \nL 81.671743 85.319743 \nL 87.124406 86.735351 \nL 92.563137 88.559309 \nL 97.904599 90.726913 \nL 103.077075 93.176614 \nL 108.021655 95.851785 \nL 112.692536 98.70176 \nL 117.056606 101.682308 \nL 121.092465 104.755561 \nL 124.789068 107.889596 \nL 128.14414 111.057913 \nL 131.162556 114.238736 \nL 133.854729 117.414333 \nL 136.235127 120.57036 \nL 138.320957 123.695275 \nL 140.13105 126.779854 \nL 141.684927 129.816693 \nL 143.002061 132.799893 \nL 144.101319 135.724748 \nL 145.000547 138.587482 \nL 145.716293 141.385066 \nL 146.263628 144.115034 \nL 146.656058 146.775354 \nL 146.905497 149.364327 \nL 147.022286 151.88048 \nL 147.015253 154.322487 \nL 146.891789 156.689109 \nL 146.657938 158.979117 \nL 146.318501 161.191249 \nL 145.877125 163.324156 \nL 145.336413 165.376342 \nL 144.698004 167.346131 \nL 143.962666 169.231606 \nL 143.130381 171.030583 \nL 142.200411 172.740534 \nL 141.171378 174.358547 \nL 140.04132 175.881288 \nL 138.807762 177.304919 \nL 137.467771 178.625057 \nL 136.018022 179.836712 \nL 134.454863 180.9342 \nL 132.774385 181.911113 \nL 130.972504 182.760227 \nL 129.045041 183.473441 \nL 126.987834 184.041721 \nL 124.796855 184.455036 \nL 122.468345 184.702322 \nL 119.998989 184.771425 \nL 117.386108 184.649127 \nL 114.627882 184.321152 \nL 111.723623 183.77222 \nL 108.674077 182.986179 \nL 105.481764 181.946193 \nL 102.151379 180.634991 \nL 98.690239 179.035269 \nL 95.108743 177.13017 \nL 91.420875 174.903915 \nL 87.644764 172.34259 \nL 83.803176 169.435114 \nL 79.924028 166.174322 \nL 76.040812 162.55826 \nL 72.192922 158.591541 \nL 68.425773 154.286786 \nL 64.790718 149.666026 \nL 61.344651 144.761934 \nL 58.149212 139.618809 \nL 55.269571 134.293049 \nL 52.772711 128.85299 \nL 50.725278 123.377959 \nL 49.190906 117.95643 \nL 48.227266 112.68316 \nL 47.882894 107.655574 \nL 48.194071 102.969381 \nL 49.181979 98.713836 \nL 50.850459 94.967193 \nL 53.18466 91.792561 \nL 56.150677 89.23483 \nL 59.696446 87.318919 \nL 63.753762 86.049425 \nL 68.241337 85.411896 \nL 73.068627 85.375222 \nL 78.140074 85.895004 \nL 83.359428 86.917358 \nL 88.633743 88.382805 \nL 93.876811 90.229782 \nL 99.011804 92.397615 \nL 103.973074 94.828834 \nL 108.707069 97.470656 \nL 113.172476 100.275911 \nL 117.339737 103.203341 \nL 121.190055 106.217545 \nL 124.714117 109.288606 \nL 127.910597 112.391545 \nL 130.784655 115.505763 \nL 133.346456 118.614357 \nL 135.609815 121.703579 \nL 137.590996 124.762272 \nL 139.30769 127.781441 \nL 140.778165 130.753806 \nL 142.020604 133.673489 \nL 143.052587 136.535747 \nL 143.890726 139.336734 \nL 144.5504 142.073291 \nL 145.045603 144.742807 \nL 145.388857 147.343098 \nL 145.591186 149.87227 \nL 145.662145 152.328645 \nL 145.609861 154.710684 \nL 145.441117 157.016923 \nL 145.161422 159.245874 \nL 144.775111 161.396022 \nL 144.285435 163.465733 \nL 143.694651 165.453215 \nL 143.004112 167.356468 \nL 142.214349 169.173238 \nL 141.325142 170.900967 \nL 140.335607 172.536734 \nL 139.244255 174.077215 \nL 138.049061 175.518616 \nL 136.747529 176.856616 \nL 135.336766 178.086325 \nL 133.813538 179.20221 \nL 132.174351 180.198036 \nL 130.415535 181.066789 \nL 128.533322 181.800646 \nL 126.523962 182.390888 \nL 124.38384 182.827874 \nL 122.109599 183.100975 \nL 119.698328 183.198584 \nL 117.147724 183.108071 \nL 114.456336 182.815851 \nL 111.623799 182.307417 \nL 108.651136 181.567491 \nL 105.541078 180.580171 \nL 102.298448 179.329221 \nL 98.930561 177.798418 \nL 95.447673 175.972023 \nL 91.863453 173.83537 \nL 88.195471 171.375623 \nL 84.465678 168.582636 \nL 80.700881 165.45002 \nL 76.933092 161.976271 \nL 73.19986 158.166073 \nL 69.544343 154.031585 \nL 66.015241 149.593743 \nL 62.666385 144.883381 \nL 59.556053 139.942132 \nL 56.74577 134.822854 \nL 54.298831 129.589522 \nL 52.278216 124.316375 \nL 50.744216 119.086262 \nL 49.751698 113.988102 \nL 49.34721 109.113603 \nL 49.566075 104.553279 \nL 50.429745 100.392186 \nL 51.943714 96.705711 \nL 54.096144 93.555677 \nL 56.857438 90.987417 \nL 60.180897 89.02792 \nL 64.004461 87.685353 \nL 68.25336 86.949894 \nL 72.843535 86.795765 \nL 77.685514 87.184084 \nL 82.688382 88.066347 \nL 87.76352 89.387933 \nL 92.827919 91.091401 \nL 97.806782 93.119373 \nL 102.635359 95.416815 \nL 107.259985 97.932585 \nL 111.638412 100.620461 \nL 115.739498 103.439585 \nL 119.542414 106.354509 \nL 123.035539 109.334981 \nL 126.215125 112.355499 \nL 129.083919 115.39479 \nL 131.649777 118.435247 \nL 133.924382 121.4624 \nL 135.92208 124.46442 \nL 137.658874 127.43162 \nL 139.151589 130.356123 \nL 140.417199 133.231507 \nL 141.472289 136.052509 \nL 142.332674 138.814814 \nL 143.013112 141.514843 \nL 143.527121 144.149608 \nL 143.886874 146.716558 \nL 144.103161 149.213485 \nL 144.185378 151.638412 \nL 144.14157 153.989516 \nL 143.978492 156.26505 \nL 143.701666 158.463289 \nL 143.315478 160.582456 \nL 142.823258 162.620673 \nL 142.227361 164.575918 \nL 141.52926 166.445952 \nL 140.729618 168.228294 \nL 139.828367 169.920138 \nL 138.82479 171.518335 \nL 137.717582 173.019314 \nL 136.504926 174.419045 \nL 135.184556 175.712975 \nL 133.753837 176.895979 \nL 132.209827 177.962279 \nL 130.549369 178.905423 \nL 128.769169 179.718192 \nL 126.865895 180.392571 \nL 124.8363 180.919686 \nL 122.677329 181.289776 \nL 120.386286 181.492173 \nL 117.960996 181.515269 \nL 115.399997 181.346565 \nL 112.70279 180.972697 \nL 109.870073 180.379552 \nL 106.90405 179.552415 \nL 103.808773 178.476177 \nL 100.590487 177.135648 \nL 97.258048 175.515957 \nL 93.823346 173.603042 \nL 90.301746 171.384297 \nL 86.712538 168.84934 \nL 83.079381 165.99089 \nL 79.43065 162.805822 \nL 75.799763 159.29625 \nL 72.225337 155.470748 \nL 68.751184 151.345525 \nL 65.426037 146.945522 \nL 62.303065 142.305344 \nL 59.438974 137.469833 \nL 56.892716 132.494224 \nL 54.723898 127.443681 \nL 52.990656 122.392126 \nL 51.747359 117.420372 \nL 51.04196 112.613413 \nL 50.913358 108.057165 \nL 51.388799 103.834663 \nL 52.48174 100.022181 \nL 54.190143 96.685451 \nL 56.495642 93.876518 \nL 59.363574 91.631444 \nL 62.744008 89.969094 \nL 66.573683 88.891169 \nL 70.77876 88.383357 \nL 75.278113 88.417487 \nL 79.986921 88.954326 \nL 84.820275 89.946749 \nL 89.696485 91.342863 \nL 94.539867 93.088937 \nL 99.282918 95.131805 \nL 103.867785 97.420802 \nL 108.246997 99.909047 \nL 112.3836 102.554211 \nL 116.250748 105.318899 \nL 119.830882 108.170605 \nL 123.114681 111.081499 \nL 126.099821 114.028025 \nL 128.789707 116.990413 \nL 131.192216 119.952233 \nL 133.318554 122.899863 \nL 135.182219 125.822067 \nL 136.798102 128.709589 \nL 138.181757 131.554797 \nL 139.348791 134.351408 \nL 140.314407 137.094204 \nL 141.093057 139.778838 \nL 141.698193 142.401657 \nL 142.142107 144.959542 \nL 142.435847 147.449787 \nL 142.589175 149.869994 \nL 142.610562 152.217964 \nL 142.507234 154.491628 \nL 142.285217 156.688986 \nL 141.949406 158.808015 \nL 141.503642 160.846638 \nL 140.950785 162.802649 \nL 140.292798 164.673664 \nL 139.530832 166.457063 \nL 138.665291 168.149957 \nL 137.695913 169.749112 \nL 136.621845 171.250911 \nL 135.441714 172.651308 \nL 134.153699 173.945753 \nL 132.755602 175.129147 \nL 131.244933 176.195808 \nL 129.618977 177.13938 \nL 127.874902 177.952808 \nL 126.009849 178.628283 \nL 124.021044 179.157207 \nL 121.905935 179.530147 \nL 119.662322 179.736835 \nL 117.288553 179.766161 \nL 114.783685 179.6062 \nL 112.14773 179.244279 \nL 109.381892 178.667072 \nL 106.488859 177.860755 \nL 103.473114 176.811244 \nL 100.341284 175.504478 \nL 97.102512 173.92681 \nL 93.768851 172.065504 \nL 90.355671 169.909333 \nL 86.882076 167.449302 \nL 83.371265 164.679496 \nL 79.850887 161.598005 \nL 76.353269 158.207981 \nL 72.915535 154.518708 \nL 69.579587 150.546656 \nL 66.391796 146.316468 \nL 63.4025 141.861745 \nL 60.665126 137.225536 \nL 58.235006 132.460401 \nL 56.167833 127.62791 \nL 54.517754 122.79758 \nL 53.335191 118.045073 \nL 52.664489 113.449776 \nL 52.541461 109.091749 \nL 52.99111 105.048387 \nL 54.025668 101.390862 \nL 55.643087 98.180767 \nL 57.826292 95.467236 \nL 60.543204 93.284859 \nL 63.747687 91.652547 \nL 67.381228 90.573473 \nL 71.37546 90.036051 \nL 75.655086 90.01576 \nL 80.141136 90.477612 \nL 84.754234 91.378955 \nL 89.417625 92.672311 \nL 94.059781 94.307994 \nL 98.61644 96.236427 \nL 103.032025 98.409884 \nL 107.26041 100.783816 \nL 111.26514 103.317655 \nL 115.019142 105.975171 \nL 118.50405 108.72464 \nL 121.709289 111.538615 \nL 124.630977 114.393662 \nL 127.270786 117.269936 \nL 129.63478 120.150746 \nL 131.732372 123.022145 \nL 133.575328 125.872534 \nL 135.176929 128.69224 \nL 136.551265 131.473219 \nL 137.712633 134.208758 \nL 138.6751 136.893255 \nL 139.45213 139.521974 \nL 140.056352 142.0909 \nL 140.499375 144.596563 \nL 140.791684 147.035912 \nL 140.942591 149.406234 \nL 140.960224 151.705017 \nL 140.851545 153.929907 \nL 140.622391 156.078599 \nL 140.277533 158.148793 \nL 139.820738 160.138129 \nL 139.254847 162.044125 \nL 138.581843 163.864114 \nL 137.80293 165.595207 \nL 136.918609 167.234239 \nL 135.928749 168.777693 \nL 134.832662 170.221684 \nL 133.629178 171.561882 \nL 132.31672 172.793468 \nL 130.89338 173.911094 \nL 129.357003 174.908796 \nL 127.705274 175.780002 \nL 125.935817 176.517438 \nL 124.046307 177.11312 \nL 122.034578 177.558312 \nL 119.898769 177.843514 \nL 117.637488 177.958471 \nL 115.249979 177.89218 \nL 112.736317 177.632963 \nL 110.097661 177.168529 \nL 107.33649 176.486143 \nL 104.456896 175.5728 \nL 101.464883 174.415481 \nL 98.368727 173.001513 \nL 95.179323 171.31898 \nL 91.91054 169.357252 \nL 88.579614 167.107619 \nL 85.207479 164.564025 \nL 81.819085 161.723905 \nL 78.443639 158.589089 \nL 75.114732 155.166773 \nL 71.870339 151.470467 \nL 68.752651 147.52092 \nL 65.807608 143.346877 \nL 63.084247 138.985579 \nL 60.633712 134.482986 \nL 58.507935 129.89349 \nL 56.758026 125.279143 \nL 55.432393 120.708259 \nL 54.574647 116.253482 \nL 54.221418 111.989218 \nL 54.400232 107.988783 \nL 55.127583 104.321204 \nL 56.407404 101.048167 \nL 58.230105 98.221181 \nL 60.572268 95.879356 \nL 63.397076 94.047965 \nL 66.6556 92.737874 \nL 70.288676 91.94597 \nL 74.229355 91.656348 \nL 78.405753 91.842278 \nL 82.744001 92.468481 \nL 87.171091 93.4937 \nL 91.617474 94.873186 \nL 96.019191 96.5609 \nL 100.319489 98.511432 \nL 104.469868 100.68141 \nL 108.430572 103.030545 \nL 112.17063 105.522223 \nL 115.667457 108.123786 \nL 118.906153 110.806574 \nL 121.878641 113.545744 \nL 124.582639 116.319965 \nL 127.02064 119.111104 \nL 129.198889 121.903807 \nL 131.126442 124.685139 \nL 132.814317 127.444233 \nL 134.274759 130.171955 \nL 135.520623 132.860644 \nL 136.564868 135.503823 \nL 137.420175 138.09599 \nL 138.098638 140.632442 \nL 138.61155 143.109116 \nL 138.969257 145.52245 \nL 139.181077 147.86924 \nL 139.255252 150.146582 \nL 139.198941 152.351749 \nL 139.018247 154.482111 \nL 138.71825 156.535094 \nL 138.303065 158.508078 \nL 137.775895 160.398365 \nL 137.139113 162.203097 \nL 136.394315 163.919225 \nL 135.542409 165.543437 \nL 134.583675 167.072117 \nL 133.517848 168.501296 \nL 132.344186 169.82659 \nL 131.061548 171.043165 \nL 129.668479 172.145679 \nL 128.163289 173.12824 \nL 126.544145 173.984358 \nL 124.809175 174.70692 \nL 122.956567 175.288158 \nL 120.984697 175.719604 \nL 118.892267 175.992123 \nL 116.678469 176.095885 \nL 114.343138 176.020422 \nL 111.886969 175.754684 \nL 109.311736 175.287147 \nL 106.620517 174.60594 \nL 103.817992 173.699072 \nL 100.910719 172.554658 \nL 97.90745 171.161287 \nL 94.819466 169.508431 \nL 91.660895 167.586941 \nL 88.449068 165.389668 \nL 85.204785 162.91212 \nL 81.952611 160.153271 \nL 78.72102 157.116355 \nL 75.542523 153.809763 \nL 72.453595 150.247869 \nL 69.494423 146.451816 \nL 66.708501 142.450147 \nL 64.141909 138.279208 \nL 61.842382 133.983219 \nL 59.858058 129.613951 \nL 58.235948 125.229917 \nL 57.020248 120.895047 \nL 56.250402 116.676867 \nL 55.959175 112.644187 \nL 56.170743 108.864486 \nL 56.899036 105.40109 \nL 58.146419 102.310442 \nL 59.902869 99.639654 \nL 62.145795 97.424572 \nL 64.840488 95.688476 \nL 67.941264 94.441648 \nL 71.393209 93.68173 \nL 75.134379 93.394758 \nL 79.098337 93.556857 \nL 83.216777 94.136302 \nL 87.422104 95.095713 \nL 91.649744 96.39428 \nL 95.84008 97.989764 \nL 99.939926 99.84019 \nL 103.903523 101.905204 \nL 107.693013 104.147013 \nL 111.278514 106.530999 \nL 114.637828 109.026048 \nL 117.755848 111.604607 \nL 120.623792 114.242568 \nL 123.238325 116.919072 \nL 125.600629 119.61622 \nL 127.715485 122.318701 \nL 129.590423 125.01352 \nL 131.234929 127.689641 \nL 132.65977 130.337701 \nL 133.876413 132.949762 \nL 134.896545 135.519041 \nL 135.731696 138.039738 \nL 136.392938 140.506841 \nL 136.890684 142.915968 \nL 137.234526 145.263226 \nL 137.433144 147.545119 \nL 137.494259 149.758431 \nL 137.424607 151.900135 \nL 137.22996 153.96731 \nL 136.915149 155.957075 \nL 136.484115 157.866534 \nL 135.939955 159.692692 \nL 135.284991 161.432413 \nL 134.520837 163.082364 \nL 133.648458 164.63896 \nL 132.668255 166.098307 \nL 131.580127 167.456161 \nL 130.383553 168.707885 \nL 129.077669 169.848391 \nL 127.661351 170.872109 \nL 126.133307 171.772946 \nL 124.492167 172.544236 \nL 122.73659 173.178723 \nL 120.865388 173.668559 \nL 118.877642 174.005269 \nL 116.772863 174.179782 \nL 114.551138 174.182456 \nL 112.213317 174.003124 \nL 109.761216 173.631203 \nL 107.197843 173.055812 \nL 104.527639 172.265955 \nL 101.756732 171.25075 \nL 98.89324 169.999723 \nL 95.947546 168.503181 \nL 92.932603 166.752655 \nL 89.864242 164.741427 \nL 86.761429 162.465126 \nL 83.646494 159.922422 \nL 80.545333 157.115727 \nL 77.487471 154.051983 \nL 74.506056 150.743421 \nL 71.637646 147.208263 \nL 68.921898 143.47129 \nL 66.400956 139.56428 \nL 64.118666 135.526129 \nL 62.119525 131.402676 \nL 60.447401 127.246088 \nL 59.144011 123.113838 \nL 58.247297 119.067227 \nL 57.789675 115.169458 \nL 57.796332 111.483412 \nL 58.283623 108.069181 \nL 59.257831 104.98166 \nL 60.714221 102.26819 \nL 62.636659 99.966656 \nL 64.997816 98.104108 \nL 67.759901 96.695995 \nL 70.875994 95.746131 \nL 74.291835 95.24736 \nL 77.947968 95.182747 \nL 81.78206 95.527205 \nL 85.731212 96.249392 \nL 89.734179 97.313723 \nL 93.733264 98.682158 \nL 97.675875 100.315941 \nL 101.515647 102.176957 \nL 105.213135 104.228806 \nL 108.736097 106.437513 \nL 112.059429 108.772027 \nL 115.164791 111.204426 \nL 118.040038 113.709927 \nL 120.678479 116.266785 \nL 123.078093 118.856102 \nL 125.240696 121.461527 \nL 127.171136 124.06902 \nL 128.876553 126.666552 \nL 130.365707 129.243808 \nL 131.648386 131.791961 \nL 132.734905 134.303439 \nL 133.635716 136.7717 \nL 134.361071 139.191072 \nL 134.920784 141.556567 \nL 135.324044 143.863771 \nL 135.579291 146.108699 \nL 135.694139 148.287705 \nL 135.675335 150.397385 \nL 135.528744 152.434484 \nL 135.25937 154.39582 \nL 134.871381 156.27823 \nL 134.368144 158.078495 \nL 133.752298 159.793289 \nL 133.025791 161.419102 \nL 132.189956 162.952227 \nL 131.245579 164.38867 \nL 130.192966 165.724125 \nL 129.032016 166.953926 \nL 127.762316 168.073007 \nL 126.383197 169.075844 \nL 124.893845 169.956452 \nL 123.29339 170.708324 \nL 121.581012 171.324435 \nL 119.756059 171.797214 \nL 117.81817 172.118545 \nL 115.767415 172.279809 \nL 113.604463 172.271901 \nL 111.330751 172.085297 \nL 108.948672 171.710165 \nL 106.461798 171.136475 \nL 103.8751 170.354212 \nL 101.1952 169.353582 \nL 98.430619 168.125321 \nL 95.592053 166.661031 \nL 92.692636 164.953624 \nL 89.748199 162.997805 \nL 86.777497 160.790631 \nL 83.802408 158.332118 \nL 80.848048 155.625928 \nL 77.942823 152.680022 \nL 75.118375 149.507322 \nL 72.409354 146.126316 \nL 69.853029 142.561518 \nL 67.488752 138.843794 \nL 65.357156 135.010393 \nL 63.4992 131.104716 \nL 61.954957 127.175698 \nL 60.762233 123.276826 \nL 59.955106 119.464742 \nL 59.562397 115.797531 \nL 59.606114 112.332725 \nL 60.100143 109.125113 \nL 61.049129 106.22461 \nL 62.447718 103.67425 \nL 64.280289 101.508547 \nL 66.521108 99.752236 \nL 69.135106 98.419677 \nL 72.07902 97.51484 \nL 75.302998 97.031793 \nL 78.752505 96.955778 \nL 82.370374 97.264619 \nL 86.098851 97.930378 \nL 89.88155 98.921038 \nL 93.665168 100.202164 \nL 97.400868 101.7384 \nL 101.045321 103.494711 \nL 104.561364 105.43735 \nL 107.918274 107.534609 \nL 111.091773 109.757247 \nL 114.063743 112.078734 \nL 116.821725 114.475317 \nL 119.358322 116.925969 \nL 121.670484 119.412252 \nL 123.758799 121.918091 \nL 125.626759 124.429524 \nL 127.280091 126.934474 \nL 128.726142 129.422519 \nL 129.973341 131.88465 \nL 131.030733 134.313056 \nL 131.907599 136.700934 \nL 132.613137 139.042329 \nL 133.15623 141.33197 \nL 133.545261 143.565144 \nL 133.787984 145.737575 \nL 133.891437 147.845332 \nL 133.861905 149.884714 \nL 133.704888 151.852181 \nL 133.425112 153.744284 \nL 133.02655 155.557591 \nL 132.512463 157.288615 \nL 131.885435 158.933777 \nL 131.147437 160.48933 \nL 130.299881 161.951321 \nL 129.343696 163.31555 \nL 128.279388 164.577512 \nL 127.10712 165.732355 \nL 125.82678 166.774855 \nL 124.438091 167.69937 \nL 122.940679 168.499817 \nL 121.334172 169.169667 \nL 119.618337 169.701901 \nL 117.793169 170.089049 \nL 115.859028 170.323185 \nL 113.816798 170.395951 \nL 111.66804 170.298649 \nL 109.415157 170.022298 \nL 107.061594 169.557764 \nL 104.612041 168.895922 \nL 102.072651 168.027835 \nL 99.45128 166.945045 \nL 96.757716 165.63985 \nL 94.003912 164.105683 \nL 91.204221 162.337541 \nL 88.375606 160.332473 \nL 85.537814 158.090096 \nL 82.713506 155.613192 \nL 79.928288 152.908297 \nL 77.210689 149.986269 \nL 74.592 146.86284 \nL 72.105965 143.55906 \nL 69.788315 140.10161 \nL 67.676156 136.522912 \nL 65.807108 132.860981 \nL 64.218321 129.159011 \nL 62.945332 125.464598 \nL 62.020754 121.828681 \nL 61.472916 118.30409 \nL 61.324538 114.943912 \nL 61.591474 111.799625 \nL 62.281625 108.919198 \nL 63.394155 106.345253 \nL 64.919041 104.113466 \nL 66.837068 102.251286 \nL 69.120231 100.777149 \nL 71.732588 99.700129 \nL 74.631516 99.020179 \nL 77.769235 98.728733 \nL 81.094568 98.809821 \nL 84.554742 99.241358 \nL 88.097195 99.996602 \nL 91.671213 101.045623 \nL 95.22932 102.356726 \nL 98.728416 103.897697 \nL 102.130551 105.636782 \nL 105.403397 107.543529 \nL 108.520433 109.589324 \nL 111.460849 111.747794 \nL 114.209234 113.994922 \nL 116.755125 116.30916 \nL 119.092451 118.671337 \nL 121.218891 121.064548 \nL 123.135247 123.473943 \nL 124.84482 125.886541 \nL 126.352818 128.291032 \nL 127.665829 130.677546 \nL 128.791348 133.037485 \nL 129.737386 135.363302 \nL 130.512141 137.648369 \nL 131.123725 139.886792 \nL 131.579953 142.073299 \nL 131.888202 144.203125 \nL 132.055284 146.271878 \nL 132.087385 148.275475 \nL 131.990019 150.210038 \nL 131.768017 152.071812 \nL 131.425531 153.857103 \nL 130.966053 155.562219 \nL 130.392457 157.183412 \nL 129.70704 158.716797 \nL 128.911573 160.158344 \nL 128.007369 161.503799 \nL 126.995336 162.748657 \nL 125.876061 163.888106 \nL 124.64988 164.917019 \nL 123.316966 165.829903 \nL 121.877401 166.620878 \nL 120.331302 167.283671 \nL 118.678901 167.811599 \nL 116.92067 168.197589 \nL 115.057453 168.434185 \nL 113.090588 168.513595 \nL 111.022077 168.427748 \nL 108.854737 168.168394 \nL 106.592373 167.727193 \nL 104.239997 167.095902 \nL 101.803987 166.266543 \nL 99.292328 165.231669 \nL 96.714802 163.984627 \nL 94.083217 162.519915 \nL 91.411587 160.833573 \nL 88.716323 158.923608 \nL 86.016369 156.79048 \nL 83.333286 154.437628 \nL 80.691302 151.871966 \nL 78.117215 149.104397 \nL 75.640246 146.15027 \nL 73.291752 143.029745 \nL 71.104765 139.768041 \nL 69.113422 136.395503 \nL 67.352177 132.947432 \nL 65.854945 129.463699 \nL 64.654027 125.988027 \nL 63.778985 122.567052 \nL 63.255438 119.24905 \nL 63.103918 116.082464 \nL 63.338717 113.114299 \nL 63.966994 110.388477 \nL 64.988086 107.944231 \nL 66.393076 105.814681 \nL 68.16482 104.025696 \nL 70.27827 102.595192 \nL 72.701209 101.532761 \nL 75.395309 100.8398 \nL 78.317457 100.510055 \nL 81.421283 100.530423 \nL 84.658739 100.882099 \nL 87.981692 101.541804 \nL 91.343381 102.483085 \nL 94.699709 103.67753 \nL 98.010254 105.095896 \nL 101.239051 106.709067 \nL 104.355063 108.48878 \nL 107.332405 110.408216 \nL 110.150329 112.44238 \nL 112.793018 114.568297 \nL 115.249216 116.765157 \nL 117.511754 119.014247 \nL 119.57703 121.298892 \nL 121.444449 123.604333 \nL 123.115868 125.91753 \nL 124.595064 128.227048 \nL 125.887247 130.522788 \nL 126.99863 132.795893 \nL 127.936052 135.038538 \nL 128.706655 137.243781 \nL 129.317624 139.405431 \nL 129.775985 141.517908 \nL 130.088445 143.576133 \nL 130.261271 145.575438 \nL 130.300213 147.511449 \nL 130.210457 149.38002 \nL 129.996596 151.177143 \nL 129.66263 152.898902 \nL 129.211986 154.541383 \nL 128.647533 156.10063 \nL 127.971634 157.572597 \nL 127.186191 158.953087 \nL 126.292695 160.23773 \nL 125.292299 161.421915 \nL 124.185874 162.500781 \nL 122.97409 163.469166 \nL 121.657506 164.32159 \nL 120.236651 165.052252 \nL 118.712114 165.654999 \nL 117.084662 166.123349 \nL 115.355343 166.450496 \nL 113.525612 166.629346 \nL 111.597483 166.652549 \nL 109.573643 166.512611 \nL 107.457644 166.201946 \nL 105.254047 165.713037 \nL 102.968609 165.038589 \nL 100.608464 164.171729 \nL 98.182318 163.106249 \nL 95.700624 161.836885 \nL 93.175771 160.359668 \nL 90.622251 158.672276 \nL 88.056771 156.774442 \nL 85.498374 154.668416 \nL 82.968464 152.359381 \nL 80.490786 149.855933 \nL 78.091317 147.17047 \nL 75.798052 144.319576 \nL 73.64064 141.324254 \nL 71.649937 138.210066 \nL 69.85744 135.00709 \nL 68.294493 131.749677 \nL 66.991452 128.475966 \nL 65.976739 125.227158 \nL 65.275786 122.04655 \nL 64.910009 118.978339 \nL 64.895798 116.066342 \nL 65.243591 113.35252 \nL 65.957161 110.875539 \nL 67.033109 108.669453 \nL 68.460633 106.762537 \nL 70.221634 105.176386 \nL 72.291134 103.925421 \nL 74.63801 103.01666 \nL 77.226006 102.449936 \nL 80.014948 102.218382 \nL 82.962104 102.309262 \nL 86.023568 102.704923 \nL 89.155637 103.383892 \nL 92.316064 104.321986 \nL 95.465132 105.49335 \nL 98.566508 106.871426 \nL 101.587904 108.429776 \nL 104.501439 110.142685 \nL 107.283823 111.985693 \nL 109.916327 113.935903 \nL 112.384584 115.972181 \nL 114.678263 118.075233 \nL 116.790665 120.227649 \nL 118.71826 122.413781 \nL 120.460201 124.619683 \nL 122.017835 126.832957 \nL 123.394239 129.042614 \nL 124.593802 131.238891 \nL 125.621836 133.413146 \nL 126.484243 135.557661 \nL 127.187239 137.665541 \nL 127.737108 139.730578 \nL 128.140031 141.747133 \nL 128.401938 143.710032 \nL 128.52839 145.614465 \nL 128.524523 147.455902 \nL 128.394989 149.230029 \nL 128.143936 150.932662 \nL 127.775008 152.559686 \nL 127.291358 154.106994 \nL 126.695677 155.570441 \nL 125.990214 156.945789 \nL 125.176848 158.228678 \nL 124.257129 159.414555 \nL 123.232342 160.498671 \nL 122.10357 161.476045 \nL 120.871778 162.341434 \nL 119.537893 163.089322 \nL 118.102896 163.713908 \nL 116.567913 164.209123 \nL 114.934321 164.568623 \nL 113.203885 164.785848 \nL 111.378844 164.854047 \nL 109.462075 164.766346 \nL 107.457231 164.515857 \nL 105.36888 164.095775 \nL 103.202681 163.499534 \nL 100.96554 162.720995 \nL 98.665779 161.75464 \nL 96.313299 160.595858 \nL 93.919737 159.241215 \nL 91.498614 157.688781 \nL 89.065432 155.9385 \nL 86.637785 153.992558 \nL 84.235366 151.85579 \nL 81.879958 149.53605 \nL 79.595323 147.044594 \nL 77.407009 144.396373 \nL 75.342083 141.610275 \nL 73.428677 138.709236 \nL 71.695517 135.72022 \nL 70.17127 132.674016 \nL 68.883802 129.604848 \nL 67.859347 126.549786 \nL 67.121591 123.547935 \nL 66.690797 120.639432 \nL 66.582889 117.864338 \nL 66.808633 115.261381 \nL 67.372988 112.866729 \nL 68.274579 110.712766 \nL 69.50548 108.827061 \nL 71.051177 107.2315 \nL 72.890895 105.941746 \nL 74.99813 104.966916 \nL 77.341468 104.309648 \nL 79.885584 103.966432 \nL 82.592399 103.92821 \nL 85.422277 104.181128 \nL 88.335247 104.707424 \nL 91.292144 105.486438 \nL 94.255606 106.495505 \nL 97.190947 107.710838 \nL 100.066783 109.108301 \nL 102.855504 110.664061 \nL 105.533512 112.35507 \nL 108.081277 114.159457 \nL 110.483254 116.056763 \nL 112.727675 118.028107 \nL 114.806219 120.056217 \nL 116.713648 122.125415 \nL 118.447384 124.221586 \nL 120.00709 126.332071 \nL 121.394243 128.445529 \nL 122.611765 130.551815 \nL 123.66363 132.641886 \nL 124.554566 134.707621 \nL 125.289773 136.741715 \nL 125.874682 138.737573 \nL 126.314769 140.689185 \nL 126.615389 142.591028 \nL 126.781674 144.437982 \nL 126.818442 146.225227 \nL 126.730141 147.948197 \nL 126.520796 149.602478 \nL 126.194023 151.183756 \nL 125.753016 152.687777 \nL 125.200558 154.110274 \nL 124.539074 155.446917 \nL 123.770636 156.693293 \nL 122.897049 157.844856 \nL 121.919879 158.896888 \nL 120.840527 159.844491 \nL 119.660303 160.682548 \nL 118.380499 161.405731 \nL 117.002477 162.008486 \nL 115.52775 162.485042 \nL 113.958111 162.829431 \nL 112.295706 163.035514 \nL 110.543178 163.097046 \nL 108.703781 163.007744 \nL 106.781517 162.761355 \nL 104.781265 162.351794 \nL 102.708942 161.773276 \nL 100.571631 161.020499 \nL 98.377748 160.088835 \nL 96.137167 158.974566 \nL 93.861372 157.675164 \nL 91.563555 156.189579 \nL 89.258714 154.518555 \nL 86.96372 152.664973 \nL 84.697312 150.634188 \nL 82.480051 148.434371 \nL 80.334214 146.076784 \nL 78.283598 143.576056 \nL 76.353246 140.950356 \nL 74.569024 138.221453 \nL 72.957181 135.414658 \nL 71.543752 132.558623 \nL 70.353891 129.68497 \nL 69.411132 126.827731 \nL 68.7366 124.02263 \nL 68.34822 121.306187 \nL 68.259925 118.714739 \nL 68.48099 116.283367 \nL 69.015454 114.044806 \nL 69.861689 112.028436 \nL 71.012209 110.259328 \nL 72.453677 108.75756 \nL 74.167201 107.537674 \nL 76.12877 106.608469 \nL 78.309985 105.972994 \nL 80.678947 105.628782 \nL 83.201215 105.568384 \nL 85.840884 105.779999 \nL 88.56162 106.248211 \nL 91.327679 106.954843 \nL 94.104808 107.879757 \nL 96.860985 109.001604 \nL 99.567044 110.298515 \nL 102.197075 111.748729 \nL 104.728685 113.331002 \nL 107.143092 115.025 \nL 109.425073 116.811533 \nL 111.562809 118.672747 \nL 113.547628 120.592153 \nL 115.373698 122.554685 \nL 117.037669 124.546642 \nL 118.538305 126.555625 \nL 119.87613 128.570448 \nL 121.053078 130.581056 \nL 122.072144 132.578377 \nL 122.937123 134.554235 \nL 123.652334 136.501219 \nL 124.222403 138.412594 \nL 124.652085 140.282191 \nL 124.946105 142.104318 \nL 125.109061 143.873686 \nL 125.145323 145.585308 \nL 125.058972 147.234439 \nL 124.853771 148.816522 \nL 124.533132 150.327095 \nL 124.100133 151.761768 \nL 123.557515 153.116165 \nL 122.907711 154.385882 \nL 122.152891 155.566434 \nL 121.294989 156.653247 \nL 120.335766 157.641609 \nL 119.276876 158.526661 \nL 118.119919 159.303384 \nL 116.866524 159.966583 \nL 115.518439 160.510901 \nL 114.077605 160.930822 \nL 112.546265 161.220697 \nL 110.92706 161.374811 \nL 109.223138 161.387394 \nL 107.438282 161.252736 \nL 105.577032 160.965258 \nL 103.644787 160.519644 \nL 101.64798 159.910989 \nL 99.594175 159.13494 \nL 97.492207 158.187942 \nL 95.352295 157.067413 \nL 93.186159 155.772034 \nL 91.007104 154.302005 \nL 88.830068 152.659325 \nL 86.671661 150.848095 \nL 84.550127 148.87482 \nL 82.485277 146.748665 \nL 80.498346 144.48169 \nL 78.611757 142.089054 \nL 76.848847 139.589077 \nL 75.233453 137.003285 \nL 73.789471 134.356267 \nL 72.540285 131.675425 \nL 71.508147 128.990568 \nL 70.713545 126.333374 \nL 70.174471 123.7367 \nL 69.905732 121.233743 \nL 69.918314 118.857206 \nL 70.21884 116.638292 \nL 70.80908 114.60583 \nL 71.685693 112.785381 \nL 72.840101 111.198525 \nL 74.258581 109.862242 \nL 75.922569 108.788563 \nL 77.809123 107.9844 \nL 79.891595 107.451606 \nL 82.140416 107.187255 \nL 84.523974 107.184067 \nL 87.009532 107.430978 \nL 89.564147 107.913825 \nL 92.155524 108.616028 \nL 94.752784 109.519302 \nL 97.327104 110.604307 \nL 99.852213 111.851211 \nL 102.304756 113.240229 \nL 104.664494 114.752036 \nL 106.914374 116.368026 \nL 109.0405 118.070575 \nL 111.031976 119.843192 \nL 112.880697 121.670567 \nL 114.581069 123.538633 \nL 116.129728 125.434498 \nL 117.525209 127.346425 \nL 118.767622 129.263762 \nL 119.858363 131.176838 \nL 120.799813 133.07688 \nL 121.595102 134.95591 \nL 122.247868 136.806665 \nL 122.762069 138.622485 \nL 123.141812 140.397233 \nL 123.39123 142.125214 \nL 123.514368 143.801089 \nL 123.515107 145.419822 \nL 123.39712 146.976594 \nL 123.163822 148.466761 \nL 122.818356 149.885779 \nL 122.363603 151.229173 \nL 121.802176 152.492499 \nL 121.136461 153.671281 \nL 120.368641 154.760998 \nL 119.50074 155.757053 \nL 118.534673 156.654741 \nL 117.472309 157.44925 \nL 116.315538 158.135644 \nL 115.06634 158.708874 \nL 113.726873 159.163783 \nL 112.299541 159.495122 \nL 110.787115 159.697603 \nL 109.192811 159.765933 \nL 107.520397 159.694883 \nL 105.774317 159.479383 \nL 103.959793 159.114611 \nL 102.082946 158.596139 \nL 100.150906 157.920059 \nL 98.17193 157.083175 \nL 96.155499 156.083197 \nL 94.112431 154.918936 \nL 92.054937 153.590561 \nL 89.99668 152.099842 \nL 87.952798 150.450412 \nL 85.939887 148.648002 \nL 83.975938 146.700696 \nL 82.080206 144.61913 \nL 80.273032 142.416661 \nL 78.575593 140.109449 \nL 77.009585 137.716499 \nL 75.596797 135.259564 \nL 74.358679 132.762951 \nL 73.315787 130.253212 \nL 72.487221 127.758668 \nL 71.890021 125.308905 \nL 71.538561 122.934054 \nL 71.443992 120.66403 \nL 71.613693 118.527767 \nL 72.050864 116.552408 \nL 72.754238 114.762472 \nL 73.717901 113.179233 \nL 74.93132 111.820131 \nL 76.379516 110.698344 \nL 78.04341 109.82258 \nL 79.900354 109.197005 \nL 81.92474 108.821421 \nL 84.088752 108.691537 \nL 86.363144 108.799398 \nL 88.71804 109.133925 \nL 91.123712 109.681508 \nL 93.551295 110.426591 \nL 95.973402 111.352271 \nL 98.364653 112.440847 \nL 100.702038 113.674295 \nL 102.965204 115.034716 \nL 105.136578 116.504592 \nL 107.201399 118.067126 \nL 109.147674 119.70638 \nL 110.966022 121.407366 \nL 112.649465 123.156152 \nL 114.193201 124.93985 \nL 115.594339 126.746643 \nL 116.851615 128.565666 \nL 117.965122 130.387004 \nL 118.93606 132.201613 \nL 119.766482 134.001211 \nL 120.459084 135.778219 \nL 121.017007 137.52568 \nL 121.443675 139.237156 \nL 121.742653 140.906686 \nL 121.917545 142.528683 \nL 121.971895 144.097884 \nL 121.90913 145.609277 \nL 121.732509 147.058057 \nL 121.4451 148.439558 \nL 121.049772 149.749221 \nL 120.54919 150.982539 \nL 119.945826 152.135022 \nL 119.242004 153.20218 \nL 118.439918 154.179477 \nL 117.541679 155.06233 \nL 116.549366 155.846079 \nL 115.46509 156.525991 \nL 114.291064 157.097259 \nL 113.029662 157.555027 \nL 111.683503 157.894381 \nL 110.255542 158.110418 \nL 108.749157 158.198264 \nL 107.168239 158.153161 \nL 105.517299 157.970526 \nL 103.801557 157.646061 \nL 102.02706 157.175864 \nL 100.200774 156.55655 \nL 98.33069 155.785436 \nL 96.425897 154.860676 \nL 94.496685 153.781495 \nL 92.554582 152.54836 \nL 90.612422 151.163212 \nL 88.684339 149.629697 \nL 86.785744 147.953362 \nL 84.933264 146.141872 \nL 83.144637 144.205179 \nL 81.438532 142.155651 \nL 79.834324 140.00817 \nL 78.351805 137.780123 \nL 77.010819 135.491325 \nL 75.830898 133.16386 \nL 74.830734 130.821806 \nL 74.027739 128.490816 \nL 73.437476 126.197696 \nL 73.073155 123.969756 \nL 72.945134 121.834214 \nL 73.060456 119.817506 \nL 73.422485 117.944537 \nL 74.030614 116.238065 \nL 74.880131 114.718028 \nL 75.962201 113.401102 \nL 77.263997 112.300235 \nL 78.76898 111.424486 \nL 80.457323 110.77888 \nL 82.306433 110.364523 \nL 84.291578 110.178807 \nL 86.386534 110.215742 \nL 88.56432 110.466377 \nL 90.797853 110.919293 \nL 93.0606 111.561128 \nL 95.327142 112.377062 \nL 97.573653 113.351355 \nL 99.778297 114.467731 \nL 101.92148 115.709823 \nL 103.986022 117.061462 \nL 105.957241 118.50694 \nL 107.822914 120.031175 \nL 109.573201 121.619901 \nL 111.200496 123.259692 \nL 112.699229 124.938057 \nL 114.065646 126.64338 \nL 115.297589 128.364963 \nL 116.394243 130.092937 \nL 117.35591 131.818244 \nL 118.879813 135.228207 \nL 119.886262 138.535697 \nL 120.398181 141.689937 \nL 120.476496 143.195476 \nL 120.440543 144.646371 \nL 120.293352 146.037711 \nL 120.037823 147.364753 \nL 119.676726 148.622875 \nL 119.212679 149.80755 \nL 118.648174 150.914279 \nL 117.985584 151.938594 \nL 117.227209 152.876029 \nL 116.375294 153.722093 \nL 115.432093 154.472272 \nL 114.399909 155.122007 \nL 113.281158 155.666717 \nL 112.078441 156.101794 \nL 110.79461 156.422658 \nL 109.432843 156.624764 \nL 107.996741 156.703645 \nL 106.490384 156.655002 \nL 104.918457 156.47475 \nL 103.286309 156.159127 \nL 101.600061 155.704801 \nL 99.866692 155.108981 \nL 98.094121 154.369575 \nL 96.291271 153.485351 \nL 94.468157 152.456085 \nL 92.635912 151.282759 \nL 90.806815 149.967771 \nL 88.994299 148.515083 \nL 87.212906 146.930441 \nL 85.478227 145.221517 \nL 83.806778 143.398065 \nL 82.215839 141.472015 \nL 80.723228 139.457538 \nL 79.347045 137.371006 \nL 78.105343 135.230928 \nL 77.015766 133.057769 \nL 76.095121 130.873698 \nL 75.358948 128.702217 \nL 74.821073 126.567748 \nL 74.493113 124.495117 \nL 74.384099 122.508984 \nL 74.50005 120.633256 \nL 74.843688 118.890447 \nL 75.414176 117.301139 \nL 76.207033 115.883431 \nL 77.214099 114.652496 \nL 78.423677 113.620242 \nL 79.820799 112.795128 \nL 81.387546 112.182075 \nL 83.103533 111.782476 \nL 84.946433 111.594446 \nL 86.892569 111.613036 \nL 88.917508 111.830598 \nL 90.996669 112.237247 \nL 93.105877 112.821228 \nL 95.221859 113.569392 \nL 97.322681 114.467654 \nL 99.388108 115.501349 \nL 101.399836 116.655579 \nL 103.341677 117.91551 \nL 105.199622 119.266628 \nL 106.961862 120.694926 \nL 108.618715 122.186993 \nL 110.16251 123.730172 \nL 112.889409 126.923025 \nL 115.115126 130.187695 \nL 116.832701 133.450341 \nL 118.049414 136.647731 \nL 118.781379 139.725444 \nL 119.049229 142.635955 \nL 118.875122 145.336834 \nL 118.629196 146.596405 \nL 118.280878 147.789172 \nL 117.832702 148.910605 \nL 117.287128 149.956246 \nL 116.646548 150.921666 \nL 115.913319 151.80248 \nL 115.089793 152.594299 \nL 114.178361 153.292747 \nL 113.181502 153.893456 \nL 112.101836 154.392065 \nL 110.942191 154.784247 \nL 109.705656 155.065724 \nL 108.395666 155.232313 \nL 107.016072 155.279976 \nL 105.571212 155.20488 \nL 104.066002 155.003464 \nL 102.506011 154.672539 \nL 100.897531 154.209385 \nL 99.247662 153.611871 \nL 97.564377 152.878581 \nL 95.856585 152.008969 \nL 94.134174 151.003512 \nL 92.408038 149.863864 \nL 90.690102 148.593029 \nL 88.993274 147.195528 \nL 87.331428 145.677522 \nL 85.7193 144.046988 \nL 84.172368 142.31378 \nL 82.706697 140.48973 \nL 81.338702 138.588654 \nL 80.084918 136.626291 \nL 78.96168 134.620227 \nL 77.984783 132.589687 \nL 77.169125 130.555325 \nL 76.528301 128.538801 \nL 76.074217 126.562491 \nL 75.816686 124.64894 \nL 75.763076 122.820399 \nL 75.917983 121.098295 \nL 76.282991 119.502704 \nL 76.856494 118.051862 \nL 77.633626 116.761724 \nL 78.606257 115.645593 \nL 79.763167 114.713875 \nL 81.090267 113.973849 \nL 82.570919 113.429684 \nL 84.186359 113.082468 \nL 85.916167 112.930346 \nL 87.738774 112.968782 \nL 89.631998 113.190865 \nL 91.573536 113.587644 \nL 93.541472 114.148561 \nL 95.514698 114.861752 \nL 97.473299 115.714467 \nL 99.398833 116.693418 \nL 101.274569 117.785044 \nL 103.085642 118.97581 \nL 104.819104 120.252385 \nL 108.011074 123.011724 \nL 110.78456 125.966265 \nL 113.100138 129.029418 \nL 114.93992 132.125368 \nL 116.302042 135.188384 \nL 117.195521 138.161461 \nL 117.63594 140.994785 \nL 117.642202 143.644086 \nL 117.234303 146.069205 \nL 116.881289 147.185942 \nL 116.432164 148.232778 \nL 115.889336 149.205308 \nL 115.255205 150.099203 \nL 114.532166 150.910171 \nL 113.722671 151.633968 \nL 112.829239 152.266378 \nL 111.854525 152.803232 \nL 110.801355 153.240417 \nL 109.672781 153.573894 \nL 108.472159 153.799732 \nL 107.203197 153.914137 \nL 105.870033 153.913517 \nL 104.477293 153.794544 \nL 103.030175 153.554216 \nL 101.534503 153.189958 \nL 98.424386 152.082087 \nL 95.208631 150.462871 \nL 91.962556 148.338563 \nL 88.775701 145.734119 \nL 85.751034 142.697548 \nL 84.33476 141.039367 \nL 83.002282 139.303209 \nL 81.768687 137.502737 \nL 80.648975 135.65327 \nL 79.657803 133.77168 \nL 78.80913 131.876175 \nL 78.115911 129.986056 \nL 77.589746 128.121393 \nL 77.240532 126.302631 \nL 77.076127 124.550197 \nL 77.102048 122.884031 \nL 77.321262 121.323137 \nL 77.733956 119.885138 \nL 78.33743 118.585882 \nL 79.126079 117.439069 \nL 80.091453 116.455933 \nL 81.222402 115.645088 \nL 82.505325 115.012387 \nL 83.924469 114.560895 \nL 85.46231 114.290966 \nL 87.099993 114.200422 \nL 88.817748 114.284728 \nL 90.595376 114.537294 \nL 92.412676 114.949782 \nL 94.249868 115.512429 \nL 96.087939 116.214387 \nL 97.908987 117.043991 \nL 99.696444 117.989119 \nL 103.112098 120.176477 \nL 106.234704 122.678515 \nL 108.991097 125.402177 \nL 111.333288 128.262312 \nL 113.234706 131.18303 \nL 114.685607 134.097571 \nL 115.688407 136.947515 \nL 116.253559 139.681574 \nL 116.396297 142.25421 \nL 116.134239 144.624287 \nL 115.485942 146.753914 \nL 115.022838 147.717356 \nL 114.470263 148.607458 \nL 113.830614 149.420004 \nL 113.106359 150.15085 \nL 112.300042 150.795919 \nL 111.414327 151.351203 \nL 110.452043 151.812771 \nL 109.416233 152.176784 \nL 108.310204 152.439541 \nL 107.137581 152.597479 \nL 105.902367 152.647241 \nL 104.609009 152.585724 \nL 101.86819 152.118141 \nL 98.961737 151.177733 \nL 95.946964 149.756845 \nL 92.893204 147.860635 \nL 89.882365 145.510887 \nL 87.008269 142.74977 \nL 84.374444 139.64277 \nL 83.181655 137.986803 \nL 82.089954 136.280124 \nL 81.112818 134.537706 \nL 80.26318 132.775778 \nL 79.553154 131.011613 \nL 78.993723 129.263241 \nL 78.594443 127.549182 \nL 78.363153 125.888059 \nL 78.305678 124.298214 \nL 78.425656 122.797334 \nL 78.724291 121.402063 \nL 79.200262 120.127604 \nL 79.849659 118.987412 \nL 80.665998 117.992874 \nL 81.640317 117.15314 \nL 82.761367 116.474937 \nL 84.015826 115.962557 \nL 85.388622 115.617808 \nL 86.863267 115.440154 \nL 88.422245 115.426836 \nL 90.047404 115.573134 \nL 91.72036 115.87255 \nL 93.42285 116.317099 \nL 95.137102 116.897632 \nL 96.846122 117.604049 \nL 100.185917 119.351256 \nL 103.330329 121.469373 \nL 106.19069 123.868791 \nL 108.702181 126.464224 \nL 110.822079 129.177264 \nL 112.526438 131.937431 \nL 113.806107 134.682226 \nL 114.662771 137.356447 \nL 115.105424 139.911144 \nL 115.147599 142.302508 \nL 114.805381 144.49074 \nL 114.096217 146.43905 \nL 113.038397 148.112917 \nL 112.384723 148.836621 \nL 111.651221 149.479537 \nL 110.840562 150.037794 \nL 109.955569 150.50763 \nL 108.999273 150.885398 \nL 107.974958 151.167595 \nL 105.736886 151.432138 \nL 103.27439 151.27738 \nL 100.627721 150.684541 \nL 97.845948 149.642195 \nL 94.988317 148.1491 \nL 92.125069 146.217396 \nL 89.337402 143.875909 \nL 86.716228 141.173144 \nL 84.359429 138.179254 \nL 82.367324 134.986324 \nL 81.538543 133.349545 \nL 80.836432 131.706321 \nL 80.271211 130.072952 \nL 79.851865 128.466203 \nL 79.585889 126.903025 \nL 79.479052 125.400215 \nL 79.535183 123.974078 \nL 79.755998 122.640079 \nL 80.140967 121.4125 \nL 80.687274 120.3042 \nL 81.389793 119.32626 \nL 82.241149 118.487844 \nL 83.231867 117.796017 \nL 84.350548 117.255683 \nL 85.584109 116.86954 \nL 86.918082 116.638124 \nL 88.336929 116.559979 \nL 89.824384 116.631718 \nL 91.363796 116.848314 \nL 92.938464 117.203254 \nL 94.531958 117.688799 \nL 97.712737 119.016224 \nL 100.789879 120.75347 \nL 103.665249 122.818361 \nL 106.261579 125.128937 \nL 108.522644 127.60719 \nL 110.411468 130.181135 \nL 111.907384 132.785702 \nL 113.002566 135.362743 \nL 113.698665 137.860436 \nL 114.003888 140.23246 \nL 113.930665 142.437013 \nL 113.494041 144.435936 \nL 112.710751 146.193887 \nL 111.598914 147.677778 \nL 110.178217 148.856422 \nL 108.470582 149.700547 \nL 106.501179 150.183103 \nL 104.299649 150.280076 \nL 101.901525 149.971717 \nL 99.349651 149.24432 \nL 96.69548 148.092449 \nL 93.999961 146.521632 \nL 91.333871 144.551199 \nL 88.777197 142.217045 \nL 86.417302 139.573774 \nL 84.345707 136.6957 \nL 82.653296 133.676087 \nL 81.976023 132.14684 \nL 81.424181 130.624136 \nL 81.006063 129.123211 \nL 80.728658 127.659496 \nL 80.597419 126.248317 \nL 80.616083 124.904616 \nL 80.786523 123.642647 \nL 81.108628 122.475681 \nL 81.580235 121.415734 \nL 82.197123 120.473334 \nL 82.95306 119.657339 \nL 83.839886 118.974753 \nL 84.847692 118.430695 \nL 85.964993 118.028322 \nL 87.179 117.768829 \nL 88.475861 117.651604 \nL 89.840987 117.674255 \nL 91.259322 117.832829 \nL 92.715659 118.121976 \nL 95.682408 119.064852 \nL 98.626584 120.439985 \nL 101.446161 122.175254 \nL 104.056038 124.19492 \nL 106.389867 126.423994 \nL 108.399763 128.791198 \nL 110.054538 131.2306 \nL 111.337042 133.682317 \nL 112.241164 136.092463 \nL 112.769035 138.412655 \nL 112.928557 140.599301 \nL 112.731563 142.612813 \nL 112.19253 144.416909 \nL 111.327923 145.977964 \nL 110.156027 147.264669 \nL 108.697263 148.247843 \nL 106.974869 148.900605 \nL 105.015837 149.198925 \nL 102.8521 149.12252 \nL 100.521699 148.656254 \nL 98.069976 147.791938 \nL 95.550489 146.530513 \nL 93.025473 144.884469 \nL 90.565626 142.880336 \nL 88.248924 140.560757 \nL 86.158281 137.98583 \nL 84.377912 135.233112 \nL 82.988449 132.395911 \nL 82.061031 129.579438 \nL 81.788671 128.213715 \nL 81.651008 126.894995 \nL 81.651508 125.636934 \nL 81.791983 124.452589 \nL 82.07246 123.354143 \nL 82.491149 122.352724 \nL 83.044411 121.458155 \nL 83.726805 120.678773 \nL 84.531161 120.021321 \nL 85.448709 119.490826 \nL 86.46926 119.090599 \nL 87.581382 118.822202 \nL 88.772675 118.685529 \nL 90.029997 118.678877 \nL 91.339726 118.799091 \nL 94.061108 119.401141 \nL 96.828011 120.443433 \nL 99.539087 121.865356 \nL 102.105625 123.599322 \nL 104.454661 125.575524 \nL 106.529992 127.725334 \nL 108.291564 129.983619 \nL 109.713705 132.290103 \nL 110.782762 134.589775 \nL 111.494527 136.832834 \nL 111.8519 138.974268 \nL 111.862887 140.97326 \nL 111.539152 142.792582 \nL 110.89504 144.398005 \nL 109.947136 145.757905 \nL 108.71428 146.843055 \nL 107.217944 147.626644 \nL 105.482922 148.084641 \nL 103.538218 148.196472 \nL 101.418081 147.946083 \nL 99.162986 147.323412 \nL 96.820539 146.326154 \nL 94.445955 144.961833 \nL 92.102111 143.249966 \nL 89.858772 141.223979 \nL 87.790901 138.93266 \nL 85.975888 136.440621 \nL 84.48965 133.827381 \nL 83.401743 131.184807 \nL 82.769933 128.612731 \nL 82.638537 127.385061 \nL 82.634737 126.212991 \nL 82.760127 125.108416 \nL 83.014719 124.082507 \nL 83.396889 123.145424 \nL 83.903361 122.306226 \nL 84.529241 121.572622 \nL 85.268091 120.950924 \nL 86.112027 120.445931 \nL 87.051882 120.060892 \nL 88.077367 119.797506 \nL 89.177297 119.655944 \nL 90.339777 119.634963 \nL 92.802749 119.943161 \nL 95.365977 120.68783 \nL 97.932126 121.820222 \nL 100.412394 123.282052 \nL 102.730422 125.010118 \nL 104.824336 126.940021 \nL 106.647171 129.008959 \nL 108.166023 131.157466 \nL 109.360318 133.330426 \nL 110.219711 135.477363 \nL 110.741948 137.552346 \nL 110.930889 139.513629 \nL 110.794959 141.323173 \nL 110.346015 142.946183 \nL 109.598644 144.35068 \nL 108.569958 145.507285 \nL 107.279685 146.389188 \nL 105.750632 146.972341 \nL 104.009353 147.235972 \nL 102.086956 147.163436 \nL 100.019964 146.743339 \nL 97.851087 145.971068 \nL 95.629764 144.850477 \nL 93.41227 143.395766 \nL 91.261277 141.633202 \nL 89.244596 139.602594 \nL 87.433057 137.357911 \nL 85.897387 134.966991 \nL 84.704202 132.50978 \nL 83.911363 130.075082 \nL 83.563104 127.755878 \nL 83.564675 126.66836 \nL 83.685584 125.643508 \nL 83.925703 124.691453 \nL 84.283448 123.821451 \nL 84.755753 123.041731 \nL 85.338101 122.359375 \nL 86.024598 121.780161 \nL 86.808068 121.308547 \nL 87.680159 120.947599 \nL 88.631537 120.698972 \nL 89.652035 120.562988 \nL 91.856749 120.623815 \nL 94.203887 121.108364 \nL 96.602349 121.979347 \nL 98.965898 123.188121 \nL 101.217489 124.678978 \nL 103.292041 126.392868 \nL 105.137695 128.270465 \nL 106.715767 130.254284 \nL 107.999726 132.290026 \nL 108.973603 134.327301 \nL 109.630123 136.319825 \nL 109.968925 138.225308 \nL 109.994991 140.005151 \nL 109.7174 141.624068 \nL 109.148524 143.049783 \nL 108.303547 144.252749 \nL 107.200421 145.2061 \nL 105.86007 145.88575 \nL 104.306859 146.270806 \nL 102.56923 146.344184 \nL 100.680383 146.093565 \nL 98.678972 145.512611 \nL 96.609571 144.602417 \nL 94.522873 143.373092 \nL 92.475429 141.845331 \nL 90.528712 140.051725 \nL 88.747464 138.037562 \nL 87.197198 135.860817 \nL 85.940894 133.590999 \nL 85.035067 131.306799 \nL 84.525493 129.09233 \nL 84.443087 127.032404 \nL 84.566806 126.085743 \nL 84.800494 125.207051 \nL 85.142521 124.404727 \nL 85.589923 123.686202 \nL 86.13846 123.057869 \nL 86.782648 122.524984 \nL 87.515853 122.091576 \nL 88.330423 121.760437 \nL 89.217802 121.533128 \nL 91.173272 121.390171 \nL 93.302203 121.651794 \nL 95.521012 122.291238 \nL 97.747899 123.26927 \nL 99.907249 124.537998 \nL 101.932875 126.044456 \nL 103.769892 127.733656 \nL 105.375363 129.550948 \nL 106.717903 131.443733 \nL 107.776613 133.362403 \nL 108.539603 135.260912 \nL 109.002404 137.096847 \nL 109.166501 138.831335 \nL 109.038061 140.428804 \nL 108.627049 141.856741 \nL 107.946616 143.085461 \nL 107.012848 144.088038 \nL 105.844828 144.84037 \nL 104.464892 145.321447 \nL 102.899116 145.513883 \nL 101.177852 145.404665 \nL 99.336278 144.98617 \nL 97.414852 144.257362 \nL 95.459516 143.225177 \nL 93.521505 141.905875 \nL 91.656699 140.326237 \nL 89.924295 138.524425 \nL 88.384796 136.550115 \nL 87.097281 134.463806 \nL 86.116054 132.335053 \nL 85.486968 130.239572 \nL 85.243695 128.255293 \nL 85.404422 126.457741 \nL 85.637138 125.650757 \nL 85.969527 124.915268 \nL 86.398679 124.257938 \nL 86.920532 123.684517 \nL 87.529931 123.199677 \nL 88.220693 122.807036 \nL 88.985738 122.509091 \nL 90.706508 122.20166 \nL 92.622311 122.275514 \nL 94.65768 122.713166 \nL 96.736398 123.484196 \nL 98.785844 124.548435 \nL 100.740424 125.859292 \nL 102.543868 127.36667 \nL 104.15041 129.019472 \nL 105.524957 130.767446 \nL 106.642509 132.562439 \nL 107.48708 134.35914 \nL 108.05038 136.115459 \nL 108.330486 137.792575 \nL 108.330649 139.354856 \nL 108.058342 140.769675 \nL 107.524564 142.007307 \nL 106.743498 143.040772 \nL 105.732364 143.84597 \nL 104.511589 144.401806 \nL 103.105079 144.690677 \nL 101.54066 144.699038 \nL 99.850507 144.418265 \nL 98.071512 143.845679 \nL 96.245506 142.985692 \nL 94.419127 141.851002 \nL 92.643309 140.463685 \nL 90.972256 138.855993 \nL 89.461762 137.070617 \nL 88.166972 135.160307 \nL 87.139549 133.186527 \nL 86.424466 131.217206 \nL 86.056682 129.323485 \nL 86.058102 127.575849 \nL 86.435168 126.039843 \nL 86.762 125.369334 \nL 87.177522 124.772035 \nL 87.677819 124.253034 \nL 88.257986 123.816485 \nL 89.633947 123.202389 \nL 91.250068 122.943111 \nL 93.041978 123.036398 \nL 94.940497 123.465959 \nL 96.875866 124.203793 \nL 98.781561 125.213013 \nL 100.597325 126.450706 \nL 102.271206 127.870621 \nL 103.760674 129.425278 \nL 105.032796 131.067766 \nL 106.063845 132.752874 \nL 106.838358 134.437829 \nL 107.348066 136.082716 \nL 107.590745 137.650576 \nL 107.569189 139.107409 \nL 107.29037 140.422099 \nL 106.76485 141.566329 \nL 106.006434 142.514576 \nL 105.032086 143.244204 \nL 103.861988 143.73571 \nL 102.519815 143.973149 \nL 101.033053 143.944759 \nL 99.433303 143.643711 \nL 97.75657 143.069063 \nL 96.043296 142.2268 \nL 94.338152 141.130807 \nL 92.689394 139.803788 \nL 91.147817 138.27779 \nL 89.76507 136.594329 \nL 88.59155 134.803781 \nL 87.673775 132.964007 \nL 87.051492 131.138141 \nL 86.754783 129.391592 \nL 86.801439 127.788537 \nL 87.19501 126.388086 \nL 87.923804 125.240768 \nL 88.961063 124.385585 \nL 90.266356 123.848025 \nL 91.788083 123.639245 \nL 93.466812 123.756363 \nL 95.239021 124.183901 \nL 97.040824 124.895835 \nL 98.811323 125.858051 \nL 100.495254 127.030902 \nL 102.044833 128.371522 \nL 103.42072 129.835804 \nL 104.59226 131.379933 \nL 105.537161 132.961509 \nL 106.240727 134.54025 \nL 106.694944 136.078378 \nL 106.897532 137.540837 \nL 106.851022 138.895334 \nL 106.562088 140.112323 \nL 106.040956 141.164975 \nL 105.301175 142.029261 \nL 104.359469 142.684069 \nL 103.235818 143.111515 \nL 101.953645 143.297337 \nL 100.540042 143.231506 \nL 99.026027 142.908957 \nL 97.446651 142.330416 \nL 95.840947 141.503326 \nL 94.251614 140.442658 \nL 92.724301 139.171639 \nL 91.306484 137.722069 \nL 90.045868 136.134263 \nL 88.988339 134.456304 \nL 88.175579 132.742644 \nL 87.642483 131.051919 \nL 87.414591 129.444236 \nL 87.505913 127.977885 \nL 87.917333 126.706046 \nL 88.635907 125.673715 \nL 89.635222 124.915176 \nL 90.876767 124.452405 \nL 92.312299 124.294383 \nL 93.88681 124.437508 \nL 95.541893 124.866869 \nL 97.21901 125.558038 \nL 98.862437 126.479304 \nL 100.421577 127.593872 \nL 101.852576 128.86194 \nL 103.11921 130.242468 \nL 104.19312 131.694536 \nL 105.053537 133.178412 \nL 105.686691 134.656196 \nL 106.085022 136.092248 \nL 106.246366 137.45342 \nL 106.17319 138.709128 \nL 105.871965 139.831428 \nL 105.352742 140.795046 \nL 104.628854 141.577486 \nL 103.71684 142.159207 \nL 102.636488 142.523932 \nL 101.410934 142.659073 \nL 100.06687 142.556323 \nL 98.63465 142.212287 \nL 97.148324 141.629294 \nL 95.645489 140.816104 \nL 94.166868 139.78867 \nL 92.755517 138.570608 \nL 91.455706 137.193391 \nL 90.311337 135.696082 \nL 89.364044 134.124528 \nL 88.65098 132.529902 \nL 88.202519 130.966617 \nL 88.04004 129.489799 \nL 88.17409 128.152305 \nL 88.603143 127.001875 \nL 89.313151 126.078387 \nL 90.278019 125.411801 \nL 91.461019 125.020815 \nL 92.81692 124.91234 \nL 94.294749 125.082025 \nL 95.840738 125.515325 \nL 97.401235 126.189175 \nL 98.925254 127.073952 \nL 100.366524 128.135386 \nL 101.6849 129.336451 \nL 102.847135 130.63888 \nL 103.827123 132.00448 \nL 104.605686 133.396012 \nL 105.17007 134.777865 \nL 105.513289 136.116478 \nL 105.633441 137.380577 \nL 105.533047 138.541321 \nL 105.218524 139.572387 \nL 104.699807 140.450075 \nL 103.990102 141.15345 \nL 103.105784 141.664543 \nL 102.06643 141.96871 \nL 100.894895 142.055 \nL 99.617396 141.916764 \nL 98.263584 141.552222 \nL 96.86645 140.96516 \nL 95.462123 140.165571 \nL 94.08931 139.170229 \nL 92.788526 138.00301 \nL 91.600911 136.694934 \nL 90.566737 135.283778 \nL 89.723599 133.813166 \nL 89.104418 132.331114 \nL 88.735394 130.888043 \nL 88.634098 129.534381 \nL 88.807965 128.31802 \nL 89.253325 127.281659 \nL 89.955192 126.460499 \nL 90.887836 125.880549 \nL 92.016178 125.557455 \nL 93.297774 125.496276 \nL 94.68534 125.691861 \nL 96.12934 126.129957 \nL 97.580573 126.788681 \nL 98.992407 127.640201 \nL 100.322562 128.652532 \nL 101.534352 129.791145 \nL 102.597362 131.020364 \nL 103.487669 132.304448 \nL 104.187679 133.608539 \nL 104.685712 134.899221 \nL 104.975455 136.144937 \nL 105.055364 137.316256 \nL 104.928124 138.386058 \nL 104.600187 139.329661 \nL 104.081441 140.124943 \nL 103.385004 140.752533 \nL 102.527113 141.196048 \nL 101.527135 141.442422 \nL 100.407587 141.482345 \nL 99.194185 141.310744 \nL 97.915807 140.92736 \nL 96.604339 140.337333 \nL 95.294378 139.551729 \nL 94.022628 138.587995 \nL 92.827081 137.470132 \nL 91.745844 136.228615 \nL 90.815702 134.899857 \nL 90.070444 133.525276 \nL 89.539046 132.149813 \nL 89.243868 130.820105 \nL 89.199034 129.582243 \nL 89.409187 128.47946 \nL 89.868793 127.549811 \nL 90.562105 126.824298 \nL 91.463824 126.325267 \nL 92.540435 126.065667 \nL 93.75212 126.048793 \nL 95.054952 126.268792 \nL 96.403282 126.711624 \nL 97.751979 127.356417 \nL 99.058407 128.176979 \nL 100.283972 129.143379 \nL 101.395187 130.223342 \nL 102.364303 131.383503 \nL 103.169497 132.5905 \nL 103.794725 133.811672 \nL 104.229411 135.015688 \nL 104.467964 136.17293 \nL 104.509278 137.255773 \nL 104.356274 138.238802 \nL 104.015505 139.098942 \nL 103.496864 139.81565 \nL 102.813411 140.37111 \nL 101.981254 140.750518 \nL 101.019528 140.942364 \nL 99.95039 140.938892 \nL 98.798991 140.736549 \nL 97.593376 140.33649 \nL 96.364279 139.745084 \nL 95.14472 138.974337 \nL 93.969396 138.042213 \nL 92.873807 136.972695 \nL 91.893122 135.795576 \nL 91.060796 134.545859 \nL 90.407035 133.262756 \nL 89.957159 131.988266 \nL 89.730006 130.765423 \nL 89.7366 129.636235 \nL 89.979122 128.639628 \nL 90.450449 127.809457 \nL 91.134246 127.172848 \nL 92.005708 126.748896 \nL 93.032858 126.548039 \nL 94.178304 126.572054 \nL 95.40125 126.814413 \nL 96.659602 127.261276 \nL 97.911966 127.892674 \nL 99.119362 128.683888 \nL 100.246581 129.606809 \nL 101.721791 131.171811 \nL 102.868557 132.859946 \nL 103.423076 134.002399 \nL 103.797809 135.124047 \nL 103.987908 136.197129 \nL 103.992761 137.195781 \nL 103.815582 138.096243 \nL 103.463069 138.877043 \nL 102.945161 139.5192 \nL 102.274866 140.006446 \nL 101.468165 140.325486 \nL 100.543936 140.466359 \nL 99.523932 140.422796 \nL 98.432685 140.192667 \nL 97.297371 139.77844 \nL 96.147497 139.187562 \nL 95.014494 138.432839 \nL 93.418247 137.035154 \nL 92.044275 135.396084 \nL 91.303568 134.222352 \nL 90.734931 133.026489 \nL 90.360286 131.847654 \nL 90.195287 130.725438 \nL 90.24817 129.698058 \nL 90.51897 128.8005 \nL 90.99923 128.062742 \nL 91.672202 127.508386 \nL 92.513659 127.153599 \nL 93.493122 127.006642 \nL 94.575483 127.067852 \nL 95.722843 127.330149 \nL 96.896404 127.779878 \nL 98.058185 128.397897 \nL 99.701781 129.58848 \nL 101.135066 131.013896 \nL 102.276589 132.576584 \nL 103.06983 134.178612 \nL 103.388246 135.221978 \nL 103.532951 136.215098 \nL 103.503841 137.133805 \nL 103.304443 137.955953 \nL 102.941641 138.661634 \nL 102.425444 139.233409 \nL 101.768808 139.656517 \nL 100.987573 139.919159 \nL 100.100339 140.012829 \nL 99.1284 139.932692 \nL 98.095634 139.677942 \nL 97.028271 139.252228 \nL 95.424616 138.312878 \nL 93.908255 137.058679 \nL 92.582441 135.564795 \nL 91.544828 133.929288 \nL 91.054982 132.816613 \nL 90.749335 131.728313 \nL 90.640653 130.700749 \nL 90.734704 129.768602 \nL 91.029667 128.963181 \nL 91.515974 128.310955 \nL 92.176661 127.832368 \nL 92.988123 127.540937 \nL 93.921349 127.442976 \nL 94.943401 127.537581 \nL 96.019092 127.817196 \nL 97.112633 128.26835 \nL 98.710812 129.225509 \nL 100.164483 130.449578 \nL 101.385252 131.852573 \nL 102.306869 133.342441 \nL 102.88604 134.82847 \nL 103.101256 136.225236 \nL 103.0409 137.068181 \nL 102.821494 137.81626 \nL 102.450119 138.451092 \nL 101.936838 138.956728 \nL 101.294582 139.319876 \nL 100.539012 139.530181 \nL 99.688419 139.580541 \nL 98.763607 139.467446 \nL 97.288473 138.993448 \nL 95.785532 138.173438 \nL 94.348697 137.05048 \nL 93.074282 135.691247 \nL 92.05418 134.183854 \nL 91.367614 132.632783 \nL 91.124865 131.630092 \nL 91.066796 130.691416 \nL 91.196993 129.848126 \nL 91.512063 129.128192 \nL 92.001559 128.554893 \nL 92.648418 128.145792 \nL 93.429752 127.912061 \nL 94.317987 127.858269 \nL 95.282244 127.982467 \nL 96.289845 128.276703 \nL 97.8106 129.006645 \nL 99.249216 130.026102 \nL 100.513382 131.258217 \nL 101.52944 132.618484 \nL 102.244674 134.020636 \nL 102.627415 135.381172 \nL 102.665691 136.622643 \nL 102.502071 137.34965 \nL 102.193403 137.974842 \nL 101.748421 138.482494 \nL 101.178643 138.85938 \nL 100.498245 139.095042 \nL 99.723959 139.182068 \nL 98.874908 139.116406 \nL 97.508432 138.731856 \nL 96.102395 138.01947 \nL 94.743991 137.016457 \nL 93.523053 135.78189 \nL 92.525996 134.394948 \nL 91.828413 132.950543 \nL 91.487184 131.552269 \nL 91.474224 130.696918 \nL 91.635754 129.936401 \nL 91.967031 129.295593 \nL 92.456952 128.79486 \nL 93.0885 128.449207 \nL 93.839542 128.267737 \nL 94.68392 128.253484 \nL 95.59271 128.403598 \nL 97.010236 128.91748 \nL 98.402987 129.734272 \nL 99.677745 130.789361 \nL 100.755899 132.007193 \nL 101.577132 133.307399 \nL 102.10076 134.609729 \nL 102.305332 135.837867 \nL 102.187281 136.922143 \nL 101.934993 137.53463 \nL 101.552119 138.040481 \nL 101.048854 138.426571 \nL 100.437977 138.682401 \nL 99.734737 138.800308 \nL 98.545702 138.709611 \nL 97.256872 138.298656 \nL 95.945008 137.585994 \nL 94.692533 136.610436 \nL 93.58303 135.430812 \nL 92.695406 134.123793 \nL 92.096978 132.779357 \nL 91.83638 131.493878 \nL 91.863273 130.716504 \nL 92.05155 130.032891 \nL 92.395369 129.465124 \nL 92.883119 129.030936 \nL 93.497958 128.743014 \nL 94.218564 128.608624 \nL 95.020145 128.629467 \nL 96.3148 128.942461 \nL 97.635877 129.563147 \nL 98.892006 130.439678 \nL 100.002132 131.506644 \nL 100.900348 132.690844 \nL 101.538367 133.916553 \nL 101.886149 135.109695 \nL 101.93124 136.200991 \nL 101.677492 137.128472 \nL 101.35098 137.629319 \nL 100.908641 138.020742 \nL 100.361949 138.292227 \nL 99.724762 138.435919 \nL 98.635057 138.401973 \nL 97.441093 138.067301 \nL 96.213951 137.446753 \nL 95.030253 136.574008 \nL 93.96811 135.501378 \nL 93.101868 134.297983 \nL 92.495856 133.045761 \nL 92.198024 131.833508 \nL 92.234188 130.749147 \nL 92.444911 130.13686 \nL 92.797826 129.636326 \nL 93.281014 129.262919 \nL 93.877888 129.027288 \nL 94.567958 128.935043 \nL 95.725998 129.065418 \nL 96.954711 129.500419 \nL 98.16696 130.201166 \nL 99.28166 131.113022 \nL 100.22939 132.171039 \nL 100.955879 133.305208 \nL 101.423615 134.444795 \nL 101.611992 135.521922 \nL 101.51648 136.47433 \nL 101.147456 137.247582 \nL 100.760828 137.64102 \nL 99.995539 138.021899 \nL 99.047914 138.130756 \nL 97.972514 137.957455 \nL 96.832679 137.50794 \nL 95.698174 136.805408 \nL 94.641862 135.890609 \nL 93.735318 134.820823 \nL 93.043444 133.667037 \nL 92.618633 132.509289 \nL 92.495193 131.430277 \nL 92.684983 130.508015 \nL 92.980237 130.01355 \nL 93.399688 129.633752 \nL 93.929083 129.3797 \nL 94.550394 129.257907 \nL 95.60819 129.325984 \nL 96.746769 129.682211 \nL 97.885109 130.2941 \nL 98.946362 131.113467 \nL 99.86338 132.081384 \nL 100.582392 133.133063 \nL 101.064951 134.202068 \nL 101.288437 135.22387 \nL 101.245593 136.138708 \nL 100.943565 136.893814 \nL 100.402751 137.445366 \nL 99.655666 137.760238 \nL 98.745759 137.817678 \nL 97.72607 137.61099 \nL 96.657437 137.148839 \nL 95.606049 136.456185 \nL 94.640069 135.574198 \nL 93.825331 134.558901 \nL 93.22028 133.478203 \nL 92.870665 132.407221 \nL 92.804623 131.422231 \nL 93.029128 130.59396 \nL 93.33335 130.158484 \nL 93.749996 129.832325 \nL 94.264993 129.624771 \nL 95.183164 129.545752 \nL 96.214516 129.743268 \nL 97.284516 130.196568 \nL 98.319126 130.86812 \nL 99.250601 131.707884 \nL 100.021832 132.65781 \nL 100.589055 133.656072 \nL 100.923103 134.640855 \nL 101.009536 135.553355 \nL 100.848047 136.340285 \nL 100.451508 136.95589 \nL 99.844932 137.363788 \nL 99.064332 137.538607 \nL 98.155437 137.467588 \nL 97.172185 137.151904 \nL 96.174611 136.607724 \nL 95.226026 135.866472 \nL 94.389388 134.974079 \nL 93.722917 133.988866 \nL 93.275252 132.977992 \nL 93.080777 132.012373 \nL 93.155693 131.160807 \nL 93.495741 130.483769 \nL 94.07596 130.028033 \nL 94.852783 129.822716 \nL 95.768225 129.877336 \nL 96.755434 130.182086 \nL 97.744809 130.709883 \nL 98.669771 131.419902 \nL 99.471515 132.26146 \nL 100.102347 133.17819 \nL 100.527606 134.111831 \nL 100.72644 135.005381 \nL 100.69165 135.805813 \nL 100.429027 136.466253 \nL 99.956431 136.947867 \nL 99.302751 137.221536 \nL 98.506752 137.26939 \nL 97.615642 137.086196 \nL 96.683341 136.680413 \nL 95.768033 136.074746 \nL 94.929137 135.305831 \nL 94.223499 134.422864 \nL 93.701099 133.484831 \nL 93.400613 132.556477 \nL 93.345495 131.70321 \nL 93.541134 130.985498 \nL 93.973732 130.453547 \nL 94.611186 130.142867 \nL 95.406004 130.07168 \nL 96.299803 130.240016 \nL 97.228694 130.630788 \nL 98.128824 131.212347 \nL 98.941235 131.941829 \nL 99.802781 133.057163 \nL 100.234854 133.930507 \nL 100.4577 134.775475 \nL 100.462135 135.541416 \nL 100.251405 136.183106 \nL 99.840399 136.662666 \nL 99.254681 136.951193 \nL 98.529349 137.03025 \nL 97.707714 136.893178 \nL 96.839592 136.546092 \nL 95.979071 136.008394 \nL 94.939315 135.052829 \nL 94.135867 133.926131 \nL 93.750618 133.049263 \nL 93.58495 132.212648 \nL 93.652156 131.475212 \nL 93.948114 130.888702 \nL 94.451245 130.493241 \nL 95.124264 130.313993 \nL 95.917621 130.359617 \nL 96.774086 130.622267 \nL 97.633805 131.079245 \nL 98.686328 131.929262 \nL 99.524951 132.956413 \nL 100.062983 134.041901 \nL 100.237915 134.822294 \nL 100.208154 135.521347 \nL 99.97847 136.097574 \nL 99.564577 136.516713 \nL 98.992127 136.753263 \nL 98.295621 136.791891 \nL 97.517011 136.628597 \nL 96.703948 136.271527 \nL 95.654777 135.531309 \nL 94.75673 134.56592 \nL 94.118879 133.487521 \nL 93.861634 132.682752 \nL 93.816898 131.943868 \nL 93.988758 131.32263 \nL 94.365033 130.86202 \nL 94.918091 130.592596 \nL 95.607259 130.530221 \nL 96.382547 130.675354 \nL 97.189097 131.013789 \nL 98.218353 131.717754 \nL 99.087284 132.62676 \nL 99.702665 133.633206 \nL 100.004146 134.624295 \nL 100.008045 135.292759 \nL 99.823324 135.852211 \nL 99.463036 136.269243 \nL 98.949859 136.518552 \nL 98.315023 136.584276 \nL 97.596978 136.461096 \nL 96.586822 136.015068 \nL 95.620295 135.291533 \nL 94.809869 134.371056 \nL 94.254186 133.361254 \nL 94.048549 132.618683 \nL 94.042351 131.946289 \nL 94.236634 131.390936 \nL 94.617472 130.990632 \nL 95.156993 130.771568 \nL 95.815812 130.746205 \nL 96.546567 130.912717 \nL 97.544281 131.405419 \nL 98.46009 132.14474 \nL 99.191049 133.039608 \nL 99.660612 133.986353 \nL 99.824226 134.880263 \nL 99.738293 135.457708 \nL 99.480774 135.916471 \nL 99.068586 136.228899 \nL 98.52726 136.375672 \nL 97.889799 136.346951 \nL 96.958406 136.038164 \nL 96.029085 135.450834 \nL 95.208346 134.649337 \nL 94.594152 133.726018 \nL 94.262898 132.791165 \nL 94.227503 132.151468 \nL 94.379326 131.614138 \nL 94.707566 131.215995 \nL 95.188332 130.983261 \nL 95.786679 130.929728 \nL 96.459686 131.056042 \nL 97.391469 131.481894 \nL 98.260656 132.147192 \nL 98.968663 132.969501 \nL 99.440228 133.852883 \nL 99.629419 134.69887 \nL 99.52175 135.415946 \nL 99.254814 135.822326 \nL 98.846741 136.088018 \nL 98.322851 136.196462 \nL 97.500477 136.085014 \nL 96.620017 135.691791 \nL 95.780382 135.058538 \nL 95.079191 134.256405 \nL 94.601153 133.379253 \nL 94.406195 132.532707 \nL 94.462553 131.980557 \nL 94.689496 131.542077 \nL 95.070642 131.246723 \nL 95.578359 131.113237 \nL 96.17613 131.148332 \nL 97.039858 131.446645 \nL 97.883671 131.991699 \nL 98.609864 132.714307 \nL 99.138957 133.528532 \nL 99.417043 134.342021 \nL 99.419219 135.065603 \nL 99.241423 135.501846 \nL 98.922588 135.816932 \nL 98.48292 135.991513 \nL 97.756588 135.987689 \nL 96.944014 135.713875 \nL 96.135794 135.198606 \nL 95.42468 134.49904 \nL 94.895162 133.696025 \nL 94.612362 132.885233 \nL 94.612217 132.165016 \nL 94.799277 131.737693 \nL 95.132912 131.439748 \nL 95.589038 131.290324 \nL 96.330304 131.334599 \nL 97.138338 131.644866 \nL 97.915947 132.178334 \nL 98.573677 132.868207 \nL 99.039878 133.633022 \nL 99.267204 134.386305 \nL 99.235645 135.045465 \nL 98.952705 135.53937 \nL 98.594622 135.768442 \nL 97.965251 135.858311 \nL 97.226639 135.693224 \nL 96.460768 135.289885 \nL 95.754648 134.69251 \nL 95.190992 133.969372 \nL 94.837949 133.20573 \nL 94.739515 132.493504 \nL 94.908372 131.91904 \nL 95.198831 131.620866 \nL 95.607399 131.458691 \nL 96.284509 131.468606 \nL 97.034865 131.729264 \nL 97.768041 132.204387 \nL 98.399205 132.834184 \nL 98.858898 133.543858 \nL 99.099657 134.252689 \nL 99.099348 134.882447 \nL 98.861826 135.364835 \nL 98.415441 135.64763 \nL 97.810047 135.699607 \nL 97.112493 135.514037 \nL 96.400634 135.110315 \nL 95.755724 134.533254 \nL 95.253518 133.849235 \nL 94.954708 133.139102 \nL 94.896367 132.488247 \nL 95.085941 131.97527 \nL 95.377506 131.718551 \nL 95.925914 131.578062 \nL 96.592583 131.678275 \nL 97.295812 132.002411 \nL 98.099906 132.655434 \nL 98.690059 133.466854 \nL 98.941013 134.132643 \nL 98.967941 134.733007 \nL 98.771423 135.202506 \nL 98.375385 135.490175 \nL 97.82441 135.564374 \nL 97.179599 135.416191 \nL 96.513011 135.061174 \nL 95.764558 134.388634 \nL 95.236746 133.576555 \nL 95.041858 132.92675 \nL 95.076979 132.361597 \nL 95.337641 131.948879 \nL 95.790892 131.736743 \nL 96.379846 131.747578 \nL 97.031885 131.975929 \nL 97.816839 132.517565 \nL 98.438208 133.244572 \nL 98.791099 134.025104 \nL 98.841602 134.596257 \nL 98.68201 135.051733 \nL 98.332209 135.341969 \nL 97.831894 135.435095 \nL 97.2368 135.320329 \nL 96.461606 134.905075 \nL 95.780167 134.257731 \nL 95.316824 133.494839 \nL 95.163372 132.895777 \nL 95.225101 132.3848 \nL 95.494131 132.022856 \nL 95.936552 131.851822 \nL 96.497153 131.889232 \nL 97.107244 132.12684 \nL 97.829054 132.655174 \nL 98.386564 133.344748 \nL 98.685973 134.071088 \nL 98.707035 134.5932 \nL 98.533027 135.00027 \nL 98.185164 135.247878 \nL 97.702872 135.308751 \nL 97.140066 135.175748 \nL 96.420095 134.760747 \nL 95.801519 134.139586 \nL 95.397345 133.424525 \nL 95.283181 132.747503 \nL 95.417108 132.318685 \nL 95.734605 132.045967 \nL 96.195887 131.960067 \nL 96.743923 132.068204 \nL 97.44973 132.449458 \nL 98.059041 133.031861 \nL 98.466072 133.707818 \nL 98.604504 134.357585 \nL 98.5077 134.782563 \nL 98.239001 135.07207 \nL 97.829438 135.194346 \nL 97.325044 135.135695 \nL 96.648074 134.819321 \nL 96.031669 134.286604 \nL 95.587432 133.633214 \nL 95.397647 132.979018 \nL 95.454767 132.537151 \nL 95.691196 132.225215 \nL 96.077289 132.079147 \nL 96.565179 132.113951 \nL 97.227233 132.398869 \nL 97.833617 132.896153 \nL 98.277388 133.512609 \nL 98.484358 134.13777 \nL 98.423408 134.662916 \nL 98.190081 134.949642 \nL 97.821005 135.082737 \nL 97.23332 135.012285 \nL 96.602384 134.691935 \nL 96.040241 134.178053 \nL 95.648812 133.563268 \nL 95.500486 132.960413 \nL 95.622757 132.481014 \nL 95.900849 132.246532 \nL 96.302957 132.174288 \nL 96.90387 132.319498 \nL 97.508764 132.694407 \nL 98.008654 133.226802 \nL 98.317375 133.819381 \nL 98.385016 134.367546 \nL 98.20402 134.776693 \nL 97.90198 134.955772 \nL 97.384165 134.962048 \nL 96.796469 134.727437 \nL 96.242858 134.29311 \nL 95.762487 133.619857 \nL 95.601696 133.052428 \nL 95.692575 132.591051 \nL 95.935883 132.356126 \nL 96.299273 132.270348 \nL 96.853548 132.383313 \nL 97.421737 132.715074 \nL 97.978566 133.309721 \nL 98.27094 133.970369 \nL 98.261878 134.450756 \nL 98.026404 134.778233 \nL 97.607675 134.896723 \nL 97.079594 134.785881 \nL 96.535242 134.465109 \nL 95.996611 133.885664 \nL 95.71377 133.238159 \nL 95.72971 132.769916 \nL 95.972698 132.458991 \nL 96.395769 132.360708 \nL 96.91853 132.489443 \nL 97.540755 132.901869 \nL 98.007298 133.487184 \nL 98.204217 134.0941 \nL 98.128725 134.50589 \nL 97.850581 134.755643 \nL 97.419921 134.800547 \nL 96.912757 134.633016 \nL 96.329681 134.1957 \nL 95.915479 133.609405 \nL 95.778287 133.027309 \nL 95.903683 132.65676 \nL 96.222984 132.463221 \nL 96.675141 132.479573 \nL 97.273022 132.764146 \nL 97.783969 133.259545 \nL 98.080218 133.835488 \nL 98.092242 134.345952 \nL 97.884469 134.628694 \nL 97.51768 134.72864 \nL 97.056927 134.628748 \nL 96.495157 134.272512 \nL 96.059393 133.747312 \nL 95.862829 133.189914 \nL 95.920909 132.806973 \nL 96.17017 132.573458 \nL 96.56281 132.530286 \nL 97.118126 132.733748 \nL 97.627089 133.157592 \nL 97.960927 133.689152 \nL 98.03944 134.19252 \nL 97.897045 134.49884 \nL 97.592788 134.644939 \nL 97.181031 134.605813 \nL 96.648312 134.326788 \nL 96.202091 133.864706 \nL 95.957742 133.33953 \nL 95.978751 132.888774 \nL 96.196004 132.656116 \nL 96.552166 132.598576 \nL 97.067513 132.769142 \nL 97.550287 133.151692 \nL 97.910995 133.728232 \nL 97.961439 134.189532 \nL 97.810617 134.461247 \nL 97.513018 134.579468 \nL 97.038287 134.492473 \nL 96.550222 134.179701 \nL 96.129409 133.639413 \nL 96.002832 133.163852 \nL 96.129113 132.808245 \nL 96.403916 132.671235 \nL 96.859717 132.732146 \nL 97.337655 133.016827 \nL 97.760283 133.526157 \nL 97.905472 134.054736 \nL 97.773337 134.385761 \nL 97.506471 134.510411 \nL 97.06934 134.446887 \nL 96.540719 134.106375 \nL 96.166015 133.595382 \nL 96.069013 133.15763 \nL 96.207241 132.841019 \nL 96.476121 132.729847 \nL 96.907723 132.806859 \nL 97.415789 133.149998 \nL 97.761837 133.644263 \nL 97.831574 134.117877 \nL 97.654884 134.384381 \nL 97.307142 134.451002 \nL 96.877257 134.301937 \nL 96.418011 133.909718 \nL 96.155214 133.415805 \nL 96.158316 133.0437 \nL 96.372368 132.821717 \nL 96.739029 132.805541 \nL 97.228333 133.04439 \nL 97.620455 133.472931 \nL 97.783213 133.940353 \nL 97.699253 134.250014 \nL 97.432044 134.393262 \nL 97.05056 134.335071 \nL 96.591367 134.0362 \nL 96.268103 133.59103 \nL 96.193204 133.156082 \nL 96.348053 132.908475 \nL 96.662559 132.844483 \nL 97.117748 133.016964 \nL 97.514624 133.390035 \nL 97.718056 133.831335 \nL 97.662822 134.189225 \nL 97.424792 134.336474 \nL 97.074037 134.296604 \nL 96.642417 134.030912 \nL 96.300862 133.558256 \nL 96.251133 133.159845 \nL 96.411185 132.942597 \nL 96.714295 132.899586 \nL 97.139857 133.077884 \nL 97.53831 133.494364 \nL 97.677534 133.953097 \nL 97.539509 134.228137 \nL 97.263955 134.293194 \nL 96.857837 134.148421 \nL 96.454483 133.761312 \nL 96.287995 133.309231 \nL 96.397998 133.022949 \nL 96.65401 132.940766 \nL 97.045875 133.061662 \nL 97.446506 133.421927 \nL 97.628346 133.857641 \nL 97.545492 134.147425 \nL 97.315726 134.247355 \nL 96.945347 134.156888 \nL 96.54527 133.826783 \nL 96.340965 133.401621 \nL 96.397451 133.104144 \nL 96.607487 132.989371 \nL 96.962445 133.05783 \nL 97.357389 133.362158 \nL 97.573083 133.769588 \nL 97.518174 134.0979 \nL 97.268186 134.205057 \nL 96.919089 134.104973 \nL 96.553615 133.785787 \nL 96.379852 133.389889 \nL 96.448576 133.122581 \nL 96.698565 133.027371 \nL 97.088801 133.164734 \nL 97.448368 133.544739 \nL 97.542052 133.912691 \nL 97.413561 134.12272 \nL 97.134963 134.152804 \nL 96.758135 133.958606 \nL 96.460623 133.561858 \nL 96.439224 133.227867 \nL 96.619918 133.076037 \nL 96.920241 133.110611 \nL 97.309627 133.396908 \nL 97.50249 133.794094 \nL 97.422575 134.059471 \nL 97.185588 134.125279 \nL 96.833971 133.982231 \nL 96.523958 133.628792 \nL 96.469667 133.267882 \nL 96.628066 133.115914 \nL 96.946988 133.153607 \nL 97.304285 133.432211 \nL 97.468766 133.802239 \nL 97.379446 134.039533 \nL 97.15 134.0879 \nL 96.782461 133.909871 \nL 96.511417 133.523628 \nL 96.539886 133.222496 \nL 96.735991 133.136473 \nL 97.05102 133.23809 \nL 97.371182 133.580325 \nL 97.423739 133.904852 \nL 97.255941 134.052981 \nL 96.963848 134.000161 \nL 96.624411 133.69847 \nL 96.52759 133.338549 \nL 96.674914 133.179017 \nL 96.952901 133.213691 \nL 97.289416 133.49264 \nL 97.402393 133.842737 \nL 97.276973 134.010928 \nL 97.017347 133.996575 \nL 96.683748 133.742477 \nL 96.551927 133.399269 \nL 96.682671 133.211684 \nL 96.937799 133.233239 \nL 97.256768 133.484969 \nL 97.374703 133.81368 \nL 97.242859 133.988445 \nL 96.961816 133.947357 \nL 96.667668 133.683612 \nL 96.585774 133.371238 \nL 96.741525 133.22835 \nL 97.023289 133.299859 \nL 97.305234 133.604762 \nL 97.322751 133.884338 \nL 97.159015 133.973449 \nL 96.88289 133.87745 \nL 96.631988 133.569076 \nL 96.647073 133.313009 \nL 96.854025 133.255898 \nL 97.149541 133.420893 \nL 97.321383 133.736148 \nL 97.226989 133.931112 \nL 96.990007 133.915327 \nL 96.705537 133.67106 \nL 96.642813 133.378303 \nL 96.797446 133.274856 \nL 97.073978 133.378464 \nL 97.29136 133.689213 \nL 97.235712 133.894208 \nL 97.028678 133.909327 \nL 96.750208 133.704799 \nL 96.661855 133.402694 \nL 96.798575 133.297867 \nL 97.055338 133.385131 \nL 97.266923 133.672079 \nL 97.209297 133.880476 \nL 96.98531 133.874086 \nL 96.723787 133.635535 \nL 96.703896 133.373706 \nL 96.890828 133.324901 \nL 97.167157 133.513436 \nL 97.243801 133.802975 \nL 97.088103 133.883342 \nL 96.834244 133.754017 \nL 96.695416 133.464954 \nL 96.822529 133.33779 \nL 97.06785 133.431828 \nL 97.23637 133.707726 \nL 97.145647 133.858913 \nL 96.914951 133.801695 \nL 96.72033 133.543268 \nL 96.790445 133.365169 \nL 97.010277 133.407429 \nL 97.214034 133.672125 \nL 97.141009 133.839572 \nL 96.928022 133.794515 \nL 96.734897 133.5369 \nL 96.810669 133.378617 \nL 97.018284 133.42756 \nL 97.199572 133.677704 \nL 97.121618 133.826277 \nL 96.901932 133.761803 \nL 96.747072 133.497636 \nL 96.86063 133.387874 \nL 97.092619 133.504716 \nL 97.176416 133.757014 \nL 97.039689 133.813189 \nL 96.810267 133.649405 \nL 96.797487 133.426188 \nL 96.978734 133.431376 \nL 97.166697 133.653374 \nL 97.100953 133.797902 \nL 97.087451 133.800676 \nL 96.878671 133.714439 \nL 96.784515 133.471736 \nL 96.921888 133.421782 \nL 97.132536 133.595605 \nL 97.109007 133.778852 \nL 96.920555 133.736562 \nL 96.789805 133.509919 \nL 96.903847 133.430173 \nL 97.109269 133.5747 \nL 97.104241 133.764876 \nL 96.930437 133.732324 \nL 96.802835 133.509996 \nL 96.929325 133.445973 \nL 97.118603 133.61188 \nL 97.090262 133.75673 \nL 97.069672 133.763228 \nL 96.888623 133.686807 \nL 96.833621 133.475398 \nL 96.978862 133.474831 \nL 97.123312 133.679313 \nL 97.034946 133.754148 \nL 97.010748 133.750431 \nL 96.833627 133.590463 \nL 96.870384 133.466916 \nL 96.900844 133.462241 \nL 97.080246 133.576049 \nL 97.08198 133.733198 \nL 97.056013 133.742899 \nL 96.879474 133.654217 \nL 96.858262 133.486264 \nL 96.88186 133.474854 \nL 97.052731 133.551605 \nL 97.077651 133.7225 \nL 97.062805 133.73027 \nL 96.898336 133.665543 \nL 96.86304 133.496624 \nL 96.884095 133.484793 \nL 97.043286 133.550862 \nL 97.073222 133.7125 \nL 97.052405 133.723259 \nL 96.890747 133.647137 \nL 96.873387 133.501475 \nL 96.910668 133.489421 \nL 97.068927 133.597375 \nL 97.057043 133.711351 \nL 97.008775 133.716776 \nL 96.861259 133.574241 \nL 96.90323 133.498532 \nL 96.954926 133.504034 \nL 97.077994 133.663068 \nL 97.010149 133.709864 \nL 96.965721 133.695267 \nL 96.873818 133.529107 \nL 96.877373 133.523705 \nL 97.00366 133.537329 \nL 97.059901 133.686363 \nL 97.032915 133.702102 \nL 96.891387 133.618325 \nL 96.894861 133.519069 \nL 96.957626 133.517521 \nL 97.061041 133.668424 \nL 97.058597 133.673888 \nL 96.957911 133.678899 \nL 96.935349 133.662784 \nL 96.889827 133.534026 \nL 96.933219 133.517942 \nL 97.058056 133.643466 \nL 97.011924 133.690838 \nL 96.947762 133.666738 \nL 96.893872 133.540785 \nL 96.939289 133.524203 \nL 97.051759 133.650049 \nL 96.992946 133.683175 \nL 96.939434 133.654922 \nL 96.9006 133.543053 \nL 96.983949 133.545842 \nL 97.040527 133.663589 \nL 96.975458 133.672777 \nL 96.901711 133.552877 \nL 96.93816 133.534387 \nL 97.041173 133.644677 \nL 97.038805 133.653872 \nL 96.971931 133.666861 \nL 96.927987 133.633099 \nL 96.912833 133.547911 \nL 97.025879 133.662401 \nL 96.97118 133.613972 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p56046b6809\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:53:49.885766</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"md7cd560e1d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.168785\" xlink:href=\"#md7cd560e1d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(43.616441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"115.192178\" xlink:href=\"#md7cd560e1d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(107.821084 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.215571\" xlink:href=\"#md7cd560e1d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(173.034321 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"237.238963\" xlink:href=\"#md7cd560e1d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(234.057713 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"298.262356\" xlink:href=\"#md7cd560e1d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(291.899856 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"359.285749\" xlink:href=\"#md7cd560e1d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(352.923249 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m6d0e35f661\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m6d0e35f661\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m6d0e35f661\" y=\"221.040924\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 5 -->\n      <g transform=\"translate(13.5625 224.840142)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m6d0e35f661\" y=\"180.865847\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 184.665066)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m6d0e35f661\" y=\"140.690771\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 15 -->\n      <g transform=\"translate(7.2 144.48999)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m6d0e35f661\" y=\"100.515695\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 104.314914)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m6d0e35f661\" y=\"60.340619\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 25 -->\n      <g transform=\"translate(7.2 64.139837)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m6d0e35f661\" y=\"20.165542\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 23.964761)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p6eb33cb61c)\" d=\"M 188.420249 261.216 \nL 183.354618 261.143015 \nL 183.43252 261.115768 \nL 186.115333 260.896153 \nL 191.735012 260.3656 \nL 196.729447 259.712785 \nL 203.346685 258.571762 \nL 208.889725 257.370515 \nL 215.533268 255.632791 \nL 219.326843 254.493417 \nL 223.468655 253.126169 \nL 227.984798 251.487338 \nL 232.901391 249.525683 \nL 238.243818 247.181509 \nL 244.035685 244.385832 \nL 250.297384 241.059723 \nL 257.044231 237.114014 \nL 264.284061 232.449592 \nL 272.014131 226.958623 \nL 280.217339 220.527096 \nL 288.857567 213.03923 \nL 297.874349 204.384311 \nL 307.176724 194.466537 \nL 316.636882 183.218323 \nL 326.083922 170.617198 \nL 335.298758 156.705653 \nL 344.011511 141.612336 \nL 351.903076 125.571601 \nL 358.61273 108.93667 \nL 363.753851 92.180574 \nL 366.938721 75.878867 \nL 367.812273 60.670057 \nL 366.092172 47.194049 \nL 361.610045 36.015957 \nL 354.346268 27.549435 \nL 344.450056 21.997899 \nL 332.238173 19.329839 \nL 318.169939 19.296 \nL 302.802074 21.483496 \nL 286.731825 25.391181 \nL 270.53962 30.505969 \nL 254.741299 36.363649 \nL 239.756291 42.585434 \nL 225.893253 48.89056 \nL 213.350854 55.090843 \nL 202.229316 61.074882 \nL 192.547788 66.788747 \nL 184.263577 72.217572 \nL 177.29049 77.370383 \nL 171.51471 82.268912 \nL 166.807634 86.939917 \nL 163.035654 91.410464 \nL 160.067222 95.705319 \nL 157.777646 99.845753 \nL 156.052085 103.849238 \nL 154.787178 107.729719 \nL 153.891667 111.498018 \nL 153.286303 115.162409 \nL 152.903278 118.729145 \nL 152.685347 122.202917 \nL 152.562287 128.884699 \nL 152.655869 146.933974 \nL 152.426289 152.31132 \nL 151.968228 157.375932 \nL 151.254503 162.128937 \nL 150.265224 166.56907 \nL 148.982333 170.692049 \nL 147.386243 174.489696 \nL 146.463693 176.26265 \nL 145.453833 177.9489 \nL 144.353053 179.54581 \nL 143.157431 181.050268 \nL 141.862729 182.458604 \nL 140.464408 183.76655 \nL 138.957647 184.969155 \nL 137.337362 186.060727 \nL 135.598251 187.034744 \nL 133.734842 187.883766 \nL 131.74155 188.599378 \nL 129.612776 189.172087 \nL 127.343001 189.591234 \nL 124.926906 189.844934 \nL 122.359547 189.920006 \nL 119.636535 189.801922 \nL 116.754275 189.474798 \nL 113.710223 188.921407 \nL 110.503238 188.123266 \nL 107.133938 187.060775 \nL 103.605161 185.713457 \nL 99.922438 184.060318 \nL 96.094567 182.080315 \nL 92.134224 179.75305 \nL 88.058616 177.059588 \nL 83.890151 173.98353 \nL 79.657122 170.51231 \nL 75.394331 166.638694 \nL 71.143605 162.36246 \nL 66.954159 157.69226 \nL 62.88269 152.647479 \nL 58.993119 147.260025 \nL 55.355923 141.575816 \nL 52.046861 135.65576 \nL 49.145117 129.57602 \nL 46.730814 123.4272 \nL 44.881832 117.312403 \nL 43.670135 111.34398 \nL 43.157727 105.638974 \nL 43.392573 100.313627 \nL 44.404726 95.477213 \nL 46.20324 91.225822 \nL 48.774056 87.636878 \nL 52.079358 84.76485 \nL 56.058447 82.63881 \nL 60.630243 81.262021 \nL 65.697198 80.613673 \nL 71.150239 80.652232 \nL 76.874313 81.32009 \nL 82.753976 82.548726 \nL 88.678531 84.263857 \nL 94.546373 86.390036 \nL 100.26823 88.854373 \nL 105.769225 91.58916 \nL 110.989795 94.533633 \nL 115.885623 97.634686 \nL 120.426744 100.847003 \nL 124.596094 104.132684 \nL 128.387718 107.460525 \nL 131.804798 110.80521 \nL 134.85771 114.146415 \nL 137.562175 117.467988 \nL 139.937608 120.757179 \nL 142.005697 124.003994 \nL 143.789226 127.200633 \nL 145.311124 130.341042 \nL 146.593747 133.420548 \nL 147.658349 136.435533 \nL 148.52472 139.383231 \nL 149.210946 142.261512 \nL 149.733303 145.068744 \nL 150.106211 147.803654 \nL 150.342259 150.465255 \nL 150.452268 153.052733 \nL 150.32922 158.002595 \nL 149.792302 162.64803 \nL 148.875601 166.983114 \nL 147.595657 170.999801 \nL 146.820612 172.885315 \nL 145.954555 174.68656 \nL 144.995912 176.401316 \nL 143.942486 178.026961 \nL 142.791526 179.560423 \nL 141.539776 180.998115 \nL 140.18352 182.335869 \nL 138.71864 183.568881 \nL 137.140658 184.691632 \nL 135.444802 185.697817 \nL 133.626073 186.580264 \nL 131.679314 187.330857 \nL 129.599307 187.940455 \nL 127.38087 188.398805 \nL 125.019008 188.694489 \nL 122.509042 188.814848 \nL 119.846811 188.745944 \nL 117.028898 188.472536 \nL 114.052889 187.978118 \nL 110.917678 187.244973 \nL 107.623835 186.25432 \nL 104.17402 184.986527 \nL 100.573453 183.421448 \nL 96.83045 181.53887 \nL 92.956993 179.319137 \nL 88.96935 176.743934 \nL 84.888726 173.797286 \nL 80.741898 170.46674 \nL 76.56181 166.744786 \nL 72.388089 162.630428 \nL 68.267397 158.130924 \nL 64.253554 153.263559 \nL 60.407351 148.057339 \nL 56.795936 142.554461 \nL 53.491704 136.811324 \nL 50.570639 130.898863 \nL 48.109977 124.902011 \nL 46.185374 118.917987 \nL 44.867422 113.053502 \nL 44.217904 107.420633 \nL 44.285877 102.131823 \nL 45.103979 97.29409 \nL 46.685281 93.00319 \nL 49.021124 89.338201 \nL 52.08015 86.357178 \nL 55.808819 84.094402 \nL 60.133478 82.559546 \nL 64.963713 81.738754 \nL 70.196888 81.597468 \nL 75.723234 82.084514 \nL 81.43124 83.136891 \nL 87.212626 84.684652 \nL 92.966724 86.655429 \nL 98.603847 88.978219 \nL 104.047559 91.586187 \nL 109.2359 94.418553 \nL 114.12155 97.421615 \nL 118.671225 100.549074 \nL 122.864454 103.761774 \nL 126.691958 107.027195 \nL 130.153829 110.318699 \nL 133.25766 113.614709 \nL 136.016759 116.897923 \nL 138.448506 120.154562 \nL 140.572921 123.373729 \nL 142.411469 126.546859 \nL 143.986072 129.667208 \nL 145.318352 132.72951 \nL 146.429057 135.729668 \nL 147.337658 138.664485 \nL 148.062076 141.531456 \nL 148.618538 144.328626 \nL 149.021502 147.054456 \nL 149.283663 149.707696 \nL 149.41599 152.287312 \nL 149.427815 154.792408 \nL 149.119671 159.575773 \nL 148.40501 164.051078 \nL 147.310259 168.210294 \nL 146.624135 170.168144 \nL 145.845783 172.042638 \nL 144.974455 173.831769 \nL 144.008723 175.533168 \nL 142.946544 177.144062 \nL 141.785319 178.661225 \nL 140.521944 180.08091 \nL 139.15287 181.398787 \nL 137.67415 182.609883 \nL 136.081503 183.70852 \nL 134.37037 184.688222 \nL 132.535992 185.54165 \nL 130.573486 186.260542 \nL 128.477949 186.835604 \nL 126.244561 187.256474 \nL 123.868744 187.51163 \nL 121.346295 187.588373 \nL 118.6736 187.472757 \nL 115.847871 187.149632 \nL 112.867399 186.602655 \nL 109.731885 185.814399 \nL 106.442803 184.766513 \nL 103.003806 183.439969 \nL 99.421221 181.815443 \nL 95.704552 179.873785 \nL 91.86705 177.59668 \nL 87.926301 174.96747 \nL 83.904857 171.972163 \nL 79.830803 168.600629 \nL 75.738319 164.848016 \nL 71.668071 160.716279 \nL 67.667508 156.215832 \nL 63.790845 151.367218 \nL 60.098758 146.202622 \nL 56.657637 140.767131 \nL 53.538343 135.11948 \nL 50.814459 129.332098 \nL 48.559882 123.49028 \nL 46.845962 117.690255 \nL 45.738134 112.036129 \nL 45.292291 106.63581 \nL 45.551137 101.595995 \nL 46.540826 97.016759 \nL 48.268236 92.986071 \nL 50.719226 89.574966 \nL 53.858121 86.833818 \nL 57.628564 84.790183 \nL 61.955748 83.448429 \nL 66.749948 82.791161 \nL 71.910878 82.782119 \nL 77.332645 83.370192 \nL 82.908714 84.493894 \nL 88.53652 86.085961 \nL 94.121411 88.077427 \nL 99.579609 90.400984 \nL 104.840189 92.993519 \nL 109.846026 95.797763 \nL 114.553844 98.763139 \nL 118.933522 101.84597 \nL 122.966891 105.009292 \nL 126.646175 108.222298 \nL 129.972256 111.459642 \nL 132.952932 114.700726 \nL 135.601234 117.92892 \nL 137.933916 121.130923 \nL 139.970116 124.29613 \nL 141.730253 127.416126 \nL 143.23512 130.484245 \nL 144.505173 133.495245 \nL 145.560016 136.444974 \nL 146.418014 139.330151 \nL 147.096064 142.148164 \nL 147.609441 144.896937 \nL 147.971737 147.574782 \nL 148.194871 150.180299 \nL 148.289123 152.71229 \nL 148.263214 155.169678 \nL 148.124392 157.551448 \nL 147.530285 162.084048 \nL 146.539377 166.301133 \nL 145.900596 168.287972 \nL 145.167335 170.191439 \nL 144.339389 172.009527 \nL 143.415843 173.739899 \nL 142.39513 175.379828 \nL 141.275096 176.926155 \nL 140.053067 178.375235 \nL 138.7259 179.722874 \nL 137.290039 180.964253 \nL 135.741586 182.093894 \nL 134.07635 183.105558 \nL 132.289938 183.992188 \nL 130.377818 184.745846 \nL 128.335425 185.357628 \nL 126.158279 185.817602 \nL 123.842107 186.114757 \nL 121.383005 186.236964 \nL 118.77762 186.170918 \nL 116.023386 185.902192 \nL 113.118755 185.415222 \nL 110.063518 184.693433 \nL 106.859152 183.719393 \nL 103.50919 182.475033 \nL 100.01969 180.941993 \nL 96.399709 179.102081 \nL 92.661833 176.937887 \nL 88.822741 174.433512 \nL 84.903775 171.575537 \nL 80.93149 168.354124 \nL 76.938155 164.764292 \nL 72.962174 160.807382 \nL 69.048324 156.492558 \nL 65.247805 151.838373 \nL 61.61793 146.874204 \nL 58.221539 141.641447 \nL 55.125837 136.194293 \nL 52.400824 130.599876 \nL 50.117137 124.937582 \nL 48.343414 119.297479 \nL 47.143241 113.777605 \nL 46.571728 108.480351 \nL 46.672141 103.507922 \nL 47.472679 98.957375 \nL 48.983796 94.915485 \nL 51.196355 91.45405 \nL 54.080885 88.626221 \nL 57.588117 86.464043 \nL 61.650799 84.977768 \nL 66.186653 84.156685 \nL 71.102344 83.971476 \nL 76.297971 84.377665 \nL 81.671743 85.319743 \nL 87.124406 86.735351 \nL 92.563137 88.559309 \nL 97.904599 90.726913 \nL 103.077075 93.176614 \nL 108.021655 95.851785 \nL 112.692536 98.70176 \nL 117.056606 101.682308 \nL 121.092465 104.755561 \nL 124.789068 107.889596 \nL 128.14414 111.057913 \nL 131.162556 114.238736 \nL 133.854729 117.414333 \nL 136.235127 120.57036 \nL 138.320957 123.695275 \nL 140.13105 126.779854 \nL 141.684927 129.816693 \nL 143.002061 132.799893 \nL 144.101319 135.724748 \nL 145.000547 138.587482 \nL 145.716293 141.385066 \nL 146.263628 144.115034 \nL 146.656058 146.775354 \nL 146.905497 149.364327 \nL 147.022286 151.88048 \nL 147.015253 154.322487 \nL 146.891789 156.689109 \nL 146.657938 158.979117 \nL 146.318501 161.191249 \nL 145.877125 163.324156 \nL 145.336413 165.376342 \nL 144.698004 167.346131 \nL 143.962666 169.231606 \nL 143.130381 171.030583 \nL 142.200411 172.740534 \nL 141.171378 174.358547 \nL 140.04132 175.881288 \nL 138.807762 177.304919 \nL 137.467771 178.625057 \nL 136.018022 179.836712 \nL 134.454863 180.9342 \nL 132.774385 181.911113 \nL 130.972504 182.760227 \nL 129.045041 183.473441 \nL 126.987834 184.041721 \nL 124.796855 184.455036 \nL 122.468345 184.702322 \nL 119.998989 184.771425 \nL 117.386108 184.649127 \nL 114.627882 184.321152 \nL 111.723623 183.77222 \nL 108.674077 182.986179 \nL 105.481764 181.946193 \nL 102.151379 180.634991 \nL 98.690239 179.035269 \nL 95.108743 177.13017 \nL 91.420875 174.903915 \nL 87.644764 172.34259 \nL 83.803176 169.435114 \nL 79.924028 166.174322 \nL 76.040812 162.55826 \nL 72.192922 158.591541 \nL 68.425773 154.286786 \nL 64.790718 149.666026 \nL 61.344651 144.761934 \nL 58.149212 139.618809 \nL 55.269571 134.293049 \nL 52.772711 128.85299 \nL 50.725278 123.377959 \nL 49.190906 117.95643 \nL 48.227266 112.68316 \nL 47.882894 107.655574 \nL 48.194071 102.969381 \nL 49.181979 98.713836 \nL 50.850459 94.967193 \nL 53.18466 91.792561 \nL 56.150677 89.23483 \nL 59.696446 87.318919 \nL 63.753762 86.049425 \nL 68.241337 85.411896 \nL 73.068627 85.375222 \nL 78.140074 85.895004 \nL 83.359428 86.917358 \nL 88.633743 88.382805 \nL 93.876811 90.229782 \nL 99.011804 92.397615 \nL 103.973074 94.828834 \nL 108.707069 97.470656 \nL 113.172476 100.275911 \nL 117.339737 103.203341 \nL 121.190055 106.217545 \nL 124.714117 109.288606 \nL 127.910597 112.391545 \nL 130.784655 115.505763 \nL 133.346456 118.614357 \nL 135.609815 121.703579 \nL 137.590996 124.762272 \nL 139.30769 127.781441 \nL 140.778165 130.753806 \nL 142.020604 133.673489 \nL 143.052587 136.535747 \nL 143.890726 139.336734 \nL 144.5504 142.073291 \nL 145.045603 144.742807 \nL 145.388857 147.343098 \nL 145.591186 149.87227 \nL 145.662145 152.328645 \nL 145.609861 154.710684 \nL 145.441117 157.016923 \nL 145.161422 159.245874 \nL 144.775111 161.396022 \nL 144.285435 163.465733 \nL 143.694651 165.453215 \nL 143.004112 167.356468 \nL 142.214349 169.173238 \nL 141.325142 170.900967 \nL 140.335607 172.536734 \nL 139.244255 174.077215 \nL 138.049061 175.518616 \nL 136.747529 176.856616 \nL 135.336766 178.086325 \nL 133.813538 179.20221 \nL 132.174351 180.198036 \nL 130.415535 181.066789 \nL 128.533322 181.800646 \nL 126.523962 182.390888 \nL 124.38384 182.827874 \nL 122.109599 183.100975 \nL 119.698328 183.198584 \nL 117.147724 183.108071 \nL 114.456336 182.815851 \nL 111.623799 182.307417 \nL 108.651136 181.567491 \nL 105.541078 180.580171 \nL 102.298448 179.329221 \nL 98.930561 177.798418 \nL 95.447673 175.972023 \nL 91.863453 173.83537 \nL 88.195471 171.375623 \nL 84.465678 168.582636 \nL 80.700881 165.45002 \nL 76.933092 161.976271 \nL 73.19986 158.166073 \nL 69.544343 154.031585 \nL 66.015241 149.593743 \nL 62.666385 144.883381 \nL 59.556053 139.942132 \nL 56.74577 134.822854 \nL 54.298831 129.589522 \nL 52.278216 124.316375 \nL 50.744216 119.086262 \nL 49.751698 113.988102 \nL 49.34721 109.113603 \nL 49.566075 104.553279 \nL 50.429745 100.392186 \nL 51.943714 96.705711 \nL 54.096144 93.555677 \nL 56.857438 90.987417 \nL 60.180897 89.02792 \nL 64.004461 87.685353 \nL 68.25336 86.949894 \nL 72.843535 86.795765 \nL 77.685514 87.184084 \nL 82.688382 88.066347 \nL 87.76352 89.387933 \nL 92.827919 91.091401 \nL 97.806782 93.119373 \nL 102.635359 95.416815 \nL 107.259985 97.932585 \nL 111.638412 100.620461 \nL 115.739498 103.439585 \nL 119.542414 106.354509 \nL 123.035539 109.334981 \nL 126.215125 112.355499 \nL 129.083919 115.39479 \nL 131.649777 118.435247 \nL 133.924382 121.4624 \nL 135.92208 124.46442 \nL 137.658874 127.43162 \nL 139.151589 130.356123 \nL 140.417199 133.231507 \nL 141.472289 136.052509 \nL 142.332674 138.814814 \nL 143.013112 141.514843 \nL 143.527121 144.149608 \nL 143.886874 146.716558 \nL 144.103161 149.213485 \nL 144.185378 151.638412 \nL 144.14157 153.989516 \nL 143.978492 156.26505 \nL 143.701666 158.463289 \nL 143.315478 160.582456 \nL 142.823258 162.620673 \nL 142.227361 164.575918 \nL 141.52926 166.445952 \nL 140.729618 168.228294 \nL 139.828367 169.920138 \nL 138.82479 171.518335 \nL 137.717582 173.019314 \nL 136.504926 174.419045 \nL 135.184556 175.712975 \nL 133.753837 176.895979 \nL 132.209827 177.962279 \nL 130.549369 178.905423 \nL 128.769169 179.718192 \nL 126.865895 180.392571 \nL 124.8363 180.919686 \nL 122.677329 181.289776 \nL 120.386286 181.492173 \nL 117.960996 181.515269 \nL 115.399997 181.346565 \nL 112.70279 180.972697 \nL 109.870073 180.379552 \nL 106.90405 179.552415 \nL 103.808773 178.476177 \nL 100.590487 177.135648 \nL 97.258048 175.515957 \nL 93.823346 173.603042 \nL 90.301746 171.384297 \nL 86.712538 168.84934 \nL 83.079381 165.99089 \nL 79.43065 162.805822 \nL 75.799763 159.29625 \nL 72.225337 155.470748 \nL 68.751184 151.345525 \nL 65.426037 146.945522 \nL 62.303065 142.305344 \nL 59.438974 137.469833 \nL 56.892716 132.494224 \nL 54.723898 127.443681 \nL 52.990656 122.392126 \nL 51.747359 117.420372 \nL 51.04196 112.613413 \nL 50.913358 108.057165 \nL 51.388799 103.834663 \nL 52.48174 100.022181 \nL 54.190143 96.685451 \nL 56.495642 93.876518 \nL 59.363574 91.631444 \nL 62.744008 89.969094 \nL 66.573683 88.891169 \nL 70.77876 88.383357 \nL 75.278113 88.417487 \nL 79.986921 88.954326 \nL 84.820275 89.946749 \nL 89.696485 91.342863 \nL 94.539867 93.088937 \nL 99.282918 95.131805 \nL 103.867785 97.420802 \nL 108.246997 99.909047 \nL 112.3836 102.554211 \nL 116.250748 105.318899 \nL 119.830882 108.170605 \nL 123.114681 111.081499 \nL 126.099821 114.028025 \nL 128.789707 116.990413 \nL 131.192216 119.952233 \nL 133.318554 122.899863 \nL 135.182219 125.822067 \nL 136.798102 128.709589 \nL 138.181757 131.554797 \nL 139.348791 134.351408 \nL 140.314407 137.094204 \nL 141.093057 139.778838 \nL 141.698193 142.401657 \nL 142.142107 144.959542 \nL 142.435847 147.449787 \nL 142.589175 149.869994 \nL 142.610562 152.217964 \nL 142.507234 154.491628 \nL 142.285217 156.688986 \nL 141.949406 158.808015 \nL 141.503642 160.846638 \nL 140.950785 162.802649 \nL 140.292798 164.673664 \nL 139.530832 166.457063 \nL 138.665291 168.149957 \nL 137.695913 169.749112 \nL 136.621845 171.250911 \nL 135.441714 172.651308 \nL 134.153699 173.945753 \nL 132.755602 175.129147 \nL 131.244933 176.195808 \nL 129.618977 177.13938 \nL 127.874902 177.952808 \nL 126.009849 178.628283 \nL 124.021044 179.157207 \nL 121.905935 179.530147 \nL 119.662322 179.736835 \nL 117.288553 179.766161 \nL 114.783685 179.6062 \nL 112.14773 179.244279 \nL 109.381892 178.667072 \nL 106.488859 177.860755 \nL 103.473114 176.811244 \nL 100.341284 175.504478 \nL 97.102512 173.92681 \nL 93.768851 172.065504 \nL 90.355671 169.909333 \nL 86.882076 167.449302 \nL 83.371265 164.679496 \nL 79.850887 161.598005 \nL 76.353269 158.207981 \nL 72.915535 154.518708 \nL 69.579587 150.546656 \nL 66.391796 146.316468 \nL 63.4025 141.861745 \nL 60.665126 137.225536 \nL 58.235006 132.460401 \nL 56.167833 127.62791 \nL 54.517754 122.79758 \nL 53.335191 118.045073 \nL 52.664489 113.449776 \nL 52.541461 109.091749 \nL 52.99111 105.048387 \nL 54.025668 101.390862 \nL 55.643087 98.180767 \nL 57.826292 95.467236 \nL 60.543204 93.284859 \nL 63.747687 91.652547 \nL 67.381228 90.573473 \nL 71.37546 90.036051 \nL 75.655086 90.01576 \nL 80.141136 90.477612 \nL 84.754234 91.378955 \nL 89.417625 92.672311 \nL 94.059781 94.307994 \nL 98.61644 96.236427 \nL 103.032025 98.409884 \nL 107.26041 100.783816 \nL 111.26514 103.317655 \nL 115.019142 105.975171 \nL 118.50405 108.72464 \nL 121.709289 111.538615 \nL 124.630977 114.393662 \nL 127.270786 117.269936 \nL 129.63478 120.150746 \nL 131.732372 123.022145 \nL 133.575328 125.872534 \nL 135.176929 128.69224 \nL 136.551265 131.473219 \nL 137.712633 134.208758 \nL 138.6751 136.893255 \nL 139.45213 139.521974 \nL 140.056352 142.0909 \nL 140.499375 144.596563 \nL 140.791684 147.035912 \nL 140.942591 149.406234 \nL 140.960224 151.705017 \nL 140.851545 153.929907 \nL 140.622391 156.078599 \nL 140.277533 158.148793 \nL 139.820738 160.138129 \nL 139.254847 162.044125 \nL 138.581843 163.864114 \nL 137.80293 165.595207 \nL 136.918609 167.234239 \nL 135.928749 168.777693 \nL 134.832662 170.221684 \nL 133.629178 171.561882 \nL 132.31672 172.793468 \nL 130.89338 173.911094 \nL 129.357003 174.908796 \nL 127.705274 175.780002 \nL 125.935817 176.517438 \nL 124.046307 177.11312 \nL 122.034578 177.558312 \nL 119.898769 177.843514 \nL 117.637488 177.958471 \nL 115.249979 177.89218 \nL 112.736317 177.632963 \nL 110.097661 177.168529 \nL 107.33649 176.486143 \nL 104.456896 175.5728 \nL 101.464883 174.415481 \nL 98.368727 173.001513 \nL 95.179323 171.31898 \nL 91.91054 169.357252 \nL 88.579614 167.107619 \nL 85.207479 164.564025 \nL 81.819085 161.723905 \nL 78.443639 158.589089 \nL 75.114732 155.166773 \nL 71.870339 151.470467 \nL 68.752651 147.52092 \nL 65.807608 143.346877 \nL 63.084247 138.985579 \nL 60.633712 134.482986 \nL 58.507935 129.89349 \nL 56.758026 125.279143 \nL 55.432393 120.708259 \nL 54.574647 116.253482 \nL 54.221418 111.989218 \nL 54.400232 107.988783 \nL 55.127583 104.321204 \nL 56.407404 101.048167 \nL 58.230105 98.221181 \nL 60.572268 95.879356 \nL 63.397076 94.047965 \nL 66.6556 92.737874 \nL 70.288676 91.94597 \nL 74.229355 91.656348 \nL 78.405753 91.842278 \nL 82.744001 92.468481 \nL 87.171091 93.4937 \nL 91.617474 94.873186 \nL 96.019191 96.5609 \nL 100.319489 98.511432 \nL 104.469868 100.68141 \nL 108.430572 103.030545 \nL 112.17063 105.522223 \nL 115.667457 108.123786 \nL 118.906153 110.806574 \nL 121.878641 113.545744 \nL 124.582639 116.319965 \nL 127.02064 119.111104 \nL 129.198889 121.903807 \nL 131.126442 124.685139 \nL 132.814317 127.444233 \nL 134.274759 130.171955 \nL 135.520623 132.860644 \nL 136.564868 135.503823 \nL 137.420175 138.09599 \nL 138.098638 140.632442 \nL 138.61155 143.109116 \nL 138.969257 145.52245 \nL 139.181077 147.86924 \nL 139.255252 150.146582 \nL 139.198941 152.351749 \nL 139.018247 154.482111 \nL 138.71825 156.535094 \nL 138.303065 158.508078 \nL 137.775895 160.398365 \nL 137.139113 162.203097 \nL 136.394315 163.919225 \nL 135.542409 165.543437 \nL 134.583675 167.072117 \nL 133.517848 168.501296 \nL 132.344186 169.82659 \nL 131.061548 171.043165 \nL 129.668479 172.145679 \nL 128.163289 173.12824 \nL 126.544145 173.984358 \nL 124.809175 174.70692 \nL 122.956567 175.288158 \nL 120.984697 175.719604 \nL 118.892267 175.992123 \nL 116.678469 176.095885 \nL 114.343138 176.020422 \nL 111.886969 175.754684 \nL 109.311736 175.287147 \nL 106.620517 174.60594 \nL 103.817992 173.699072 \nL 100.910719 172.554658 \nL 97.90745 171.161287 \nL 94.819466 169.508431 \nL 91.660895 167.586941 \nL 88.449068 165.389668 \nL 85.204785 162.91212 \nL 81.952611 160.153271 \nL 78.72102 157.116355 \nL 75.542523 153.809763 \nL 72.453595 150.247869 \nL 69.494423 146.451816 \nL 66.708501 142.450147 \nL 64.141909 138.279208 \nL 61.842382 133.983219 \nL 59.858058 129.613951 \nL 58.235948 125.229917 \nL 57.020248 120.895047 \nL 56.250402 116.676867 \nL 55.959175 112.644187 \nL 56.170743 108.864486 \nL 56.899036 105.40109 \nL 58.146419 102.310442 \nL 59.902869 99.639654 \nL 62.145795 97.424572 \nL 64.840488 95.688476 \nL 67.941264 94.441648 \nL 71.393209 93.68173 \nL 75.134379 93.394758 \nL 79.098337 93.556857 \nL 83.216777 94.136302 \nL 87.422104 95.095713 \nL 91.649744 96.39428 \nL 95.84008 97.989764 \nL 99.939926 99.84019 \nL 103.903523 101.905204 \nL 107.693013 104.147013 \nL 111.278514 106.530999 \nL 114.637828 109.026048 \nL 117.755848 111.604607 \nL 120.623792 114.242568 \nL 123.238325 116.919072 \nL 125.600629 119.61622 \nL 127.715485 122.318701 \nL 129.590423 125.01352 \nL 131.234929 127.689641 \nL 132.65977 130.337701 \nL 133.876413 132.949762 \nL 134.896545 135.519041 \nL 135.731696 138.039738 \nL 136.392938 140.506841 \nL 136.890684 142.915968 \nL 137.234526 145.263226 \nL 137.433144 147.545119 \nL 137.494259 149.758431 \nL 137.424607 151.900135 \nL 137.22996 153.96731 \nL 136.915149 155.957075 \nL 136.484115 157.866534 \nL 135.939955 159.692692 \nL 135.284991 161.432413 \nL 134.520837 163.082364 \nL 133.648458 164.63896 \nL 132.668255 166.098307 \nL 131.580127 167.456161 \nL 130.383553 168.707885 \nL 129.077669 169.848391 \nL 127.661351 170.872109 \nL 126.133307 171.772946 \nL 124.492167 172.544236 \nL 122.73659 173.178723 \nL 120.865388 173.668559 \nL 118.877642 174.005269 \nL 116.772863 174.179782 \nL 114.551138 174.182456 \nL 112.213317 174.003124 \nL 109.761216 173.631203 \nL 107.197843 173.055812 \nL 104.527639 172.265955 \nL 101.756732 171.25075 \nL 98.89324 169.999723 \nL 95.947546 168.503181 \nL 92.932603 166.752655 \nL 89.864242 164.741427 \nL 86.761429 162.465126 \nL 83.646494 159.922422 \nL 80.545333 157.115727 \nL 77.487471 154.051983 \nL 74.506056 150.743421 \nL 71.637646 147.208263 \nL 68.921898 143.47129 \nL 66.400956 139.56428 \nL 64.118666 135.526129 \nL 62.119525 131.402676 \nL 60.447401 127.246088 \nL 59.144011 123.113838 \nL 58.247297 119.067227 \nL 57.789675 115.169458 \nL 57.796332 111.483412 \nL 58.283623 108.069181 \nL 59.257831 104.98166 \nL 60.714221 102.26819 \nL 62.636659 99.966656 \nL 64.997816 98.104108 \nL 67.759901 96.695995 \nL 70.875994 95.746131 \nL 74.291835 95.24736 \nL 77.947968 95.182747 \nL 81.78206 95.527205 \nL 85.731212 96.249392 \nL 89.734179 97.313723 \nL 93.733264 98.682158 \nL 97.675875 100.315941 \nL 101.515647 102.176957 \nL 105.213135 104.228806 \nL 108.736097 106.437513 \nL 112.059429 108.772027 \nL 115.164791 111.204426 \nL 118.040038 113.709927 \nL 120.678479 116.266785 \nL 123.078093 118.856102 \nL 125.240696 121.461527 \nL 127.171136 124.06902 \nL 128.876553 126.666552 \nL 130.365707 129.243808 \nL 131.648386 131.791961 \nL 132.734905 134.303439 \nL 133.635716 136.7717 \nL 134.361071 139.191072 \nL 134.920784 141.556567 \nL 135.324044 143.863771 \nL 135.579291 146.108699 \nL 135.694139 148.287705 \nL 135.675335 150.397385 \nL 135.528744 152.434484 \nL 135.25937 154.39582 \nL 134.871381 156.27823 \nL 134.368144 158.078495 \nL 133.752298 159.793289 \nL 133.025791 161.419102 \nL 132.189956 162.952227 \nL 131.245579 164.38867 \nL 130.192966 165.724125 \nL 129.032016 166.953926 \nL 127.762316 168.073007 \nL 126.383197 169.075844 \nL 124.893845 169.956452 \nL 123.29339 170.708324 \nL 121.581012 171.324435 \nL 119.756059 171.797214 \nL 117.81817 172.118545 \nL 115.767415 172.279809 \nL 113.604463 172.271901 \nL 111.330751 172.085297 \nL 108.948672 171.710165 \nL 106.461798 171.136475 \nL 103.8751 170.354212 \nL 101.1952 169.353582 \nL 98.430619 168.125321 \nL 95.592053 166.661031 \nL 92.692636 164.953624 \nL 89.748199 162.997805 \nL 86.777497 160.790631 \nL 83.802408 158.332118 \nL 80.848048 155.625928 \nL 77.942823 152.680022 \nL 75.118375 149.507322 \nL 72.409354 146.126316 \nL 69.853029 142.561518 \nL 67.488752 138.843794 \nL 65.357156 135.010393 \nL 63.4992 131.104716 \nL 61.954957 127.175698 \nL 60.762233 123.276826 \nL 59.955106 119.464742 \nL 59.562397 115.797531 \nL 59.606114 112.332725 \nL 60.100143 109.125113 \nL 61.049129 106.22461 \nL 62.447718 103.67425 \nL 64.280289 101.508547 \nL 66.521108 99.752236 \nL 69.135106 98.419677 \nL 72.07902 97.51484 \nL 75.302998 97.031793 \nL 78.752505 96.955778 \nL 82.370374 97.264619 \nL 86.098851 97.930378 \nL 89.88155 98.921038 \nL 93.665168 100.202164 \nL 97.400868 101.7384 \nL 101.045321 103.494711 \nL 104.561364 105.43735 \nL 107.918274 107.534609 \nL 111.091773 109.757247 \nL 114.063743 112.078734 \nL 116.821725 114.475317 \nL 119.358322 116.925969 \nL 121.670484 119.412252 \nL 123.758799 121.918091 \nL 125.626759 124.429524 \nL 127.280091 126.934474 \nL 128.726142 129.422519 \nL 129.973341 131.88465 \nL 131.030733 134.313056 \nL 131.907599 136.700934 \nL 132.613137 139.042329 \nL 133.15623 141.33197 \nL 133.545261 143.565144 \nL 133.787984 145.737575 \nL 133.891437 147.845332 \nL 133.861905 149.884714 \nL 133.704888 151.852181 \nL 133.425112 153.744284 \nL 133.02655 155.557591 \nL 132.512463 157.288615 \nL 131.885435 158.933777 \nL 131.147437 160.48933 \nL 130.299881 161.951321 \nL 129.343696 163.31555 \nL 128.279388 164.577512 \nL 127.10712 165.732355 \nL 125.82678 166.774855 \nL 124.438091 167.69937 \nL 122.940679 168.499817 \nL 121.334172 169.169667 \nL 119.618337 169.701901 \nL 117.793169 170.089049 \nL 115.859028 170.323185 \nL 113.816798 170.395951 \nL 111.66804 170.298649 \nL 109.415157 170.022298 \nL 107.061594 169.557764 \nL 104.612041 168.895922 \nL 102.072651 168.027835 \nL 99.45128 166.945045 \nL 96.757716 165.63985 \nL 94.003912 164.105683 \nL 91.204221 162.337541 \nL 88.375606 160.332473 \nL 85.537814 158.090096 \nL 82.713506 155.613192 \nL 79.928288 152.908297 \nL 77.210689 149.986269 \nL 74.592 146.86284 \nL 72.105965 143.55906 \nL 69.788315 140.10161 \nL 67.676156 136.522912 \nL 65.807108 132.860981 \nL 64.218321 129.159011 \nL 62.945332 125.464598 \nL 62.020754 121.828681 \nL 61.472916 118.30409 \nL 61.324538 114.943912 \nL 61.591474 111.799625 \nL 62.281625 108.919198 \nL 63.394155 106.345253 \nL 64.919041 104.113466 \nL 66.837068 102.251286 \nL 69.120231 100.777149 \nL 71.732588 99.700129 \nL 74.631516 99.020179 \nL 77.769235 98.728733 \nL 81.094568 98.809821 \nL 84.554742 99.241358 \nL 88.097195 99.996602 \nL 91.671213 101.045623 \nL 95.22932 102.356726 \nL 98.728416 103.897697 \nL 102.130551 105.636782 \nL 105.403397 107.543529 \nL 108.520433 109.589324 \nL 111.460849 111.747794 \nL 114.209234 113.994922 \nL 116.755125 116.30916 \nL 119.092451 118.671337 \nL 121.218891 121.064548 \nL 123.135247 123.473943 \nL 124.84482 125.886541 \nL 126.352818 128.291032 \nL 127.665829 130.677546 \nL 128.791348 133.037485 \nL 129.737386 135.363302 \nL 130.512141 137.648369 \nL 131.123725 139.886792 \nL 131.579953 142.073299 \nL 131.888202 144.203125 \nL 132.055284 146.271878 \nL 132.087385 148.275475 \nL 131.990019 150.210038 \nL 131.768017 152.071812 \nL 131.425531 153.857103 \nL 130.966053 155.562219 \nL 130.392457 157.183412 \nL 129.70704 158.716797 \nL 128.911573 160.158344 \nL 128.007369 161.503799 \nL 126.995336 162.748657 \nL 125.876061 163.888106 \nL 124.64988 164.917019 \nL 123.316966 165.829903 \nL 121.877401 166.620878 \nL 120.331302 167.283671 \nL 118.678901 167.811599 \nL 116.92067 168.197589 \nL 115.057453 168.434185 \nL 113.090588 168.513595 \nL 111.022077 168.427748 \nL 108.854737 168.168394 \nL 106.592373 167.727193 \nL 104.239997 167.095902 \nL 101.803987 166.266543 \nL 99.292328 165.231669 \nL 96.714802 163.984627 \nL 94.083217 162.519915 \nL 91.411587 160.833573 \nL 88.716323 158.923608 \nL 86.016369 156.79048 \nL 83.333286 154.437628 \nL 80.691302 151.871966 \nL 78.117215 149.104397 \nL 75.640246 146.15027 \nL 73.291752 143.029745 \nL 71.104765 139.768041 \nL 69.113422 136.395503 \nL 67.352177 132.947432 \nL 65.854945 129.463699 \nL 64.654027 125.988027 \nL 63.778985 122.567052 \nL 63.255438 119.24905 \nL 63.103918 116.082464 \nL 63.338717 113.114299 \nL 63.966994 110.388477 \nL 64.988086 107.944231 \nL 66.393076 105.814681 \nL 68.16482 104.025696 \nL 70.27827 102.595192 \nL 72.701209 101.532761 \nL 75.395309 100.8398 \nL 78.317457 100.510055 \nL 81.421283 100.530423 \nL 84.658739 100.882099 \nL 87.981692 101.541804 \nL 91.343381 102.483085 \nL 94.699709 103.67753 \nL 98.010254 105.095896 \nL 101.239051 106.709067 \nL 104.355063 108.48878 \nL 107.332405 110.408216 \nL 110.150329 112.44238 \nL 112.793018 114.568297 \nL 115.249216 116.765157 \nL 117.511754 119.014247 \nL 119.57703 121.298892 \nL 121.444449 123.604333 \nL 123.115868 125.91753 \nL 124.595064 128.227048 \nL 125.887247 130.522788 \nL 126.99863 132.795893 \nL 127.936052 135.038538 \nL 128.706655 137.243781 \nL 129.317624 139.405431 \nL 129.775985 141.517908 \nL 130.088445 143.576133 \nL 130.261271 145.575438 \nL 130.300213 147.511449 \nL 130.210457 149.38002 \nL 129.996596 151.177143 \nL 129.66263 152.898902 \nL 129.211986 154.541383 \nL 128.647533 156.10063 \nL 127.971634 157.572597 \nL 127.186191 158.953087 \nL 126.292695 160.23773 \nL 125.292299 161.421915 \nL 124.185874 162.500781 \nL 122.97409 163.469166 \nL 121.657506 164.32159 \nL 120.236651 165.052252 \nL 118.712114 165.654999 \nL 117.084662 166.123349 \nL 115.355343 166.450496 \nL 113.525612 166.629346 \nL 111.597483 166.652549 \nL 109.573643 166.512611 \nL 107.457644 166.201946 \nL 105.254047 165.713037 \nL 102.968609 165.038589 \nL 100.608464 164.171729 \nL 98.182318 163.106249 \nL 95.700624 161.836885 \nL 93.175771 160.359668 \nL 90.622251 158.672276 \nL 88.056771 156.774442 \nL 85.498374 154.668416 \nL 82.968464 152.359381 \nL 80.490786 149.855933 \nL 78.091317 147.17047 \nL 75.798052 144.319576 \nL 73.64064 141.324254 \nL 71.649937 138.210066 \nL 69.85744 135.00709 \nL 68.294493 131.749677 \nL 66.991452 128.475966 \nL 65.976739 125.227158 \nL 65.275786 122.04655 \nL 64.910009 118.978339 \nL 64.895798 116.066342 \nL 65.243591 113.35252 \nL 65.957161 110.875539 \nL 67.033109 108.669453 \nL 68.460633 106.762537 \nL 70.221634 105.176386 \nL 72.291134 103.925421 \nL 74.63801 103.01666 \nL 77.226006 102.449936 \nL 80.014948 102.218382 \nL 82.962104 102.309262 \nL 86.023568 102.704923 \nL 89.155637 103.383892 \nL 92.316064 104.321986 \nL 95.465132 105.49335 \nL 98.566508 106.871426 \nL 101.587904 108.429776 \nL 104.501439 110.142685 \nL 107.283823 111.985693 \nL 109.916327 113.935903 \nL 112.384584 115.972181 \nL 114.678263 118.075233 \nL 116.790665 120.227649 \nL 118.71826 122.413781 \nL 120.460201 124.619683 \nL 122.017835 126.832957 \nL 123.394239 129.042614 \nL 124.593802 131.238891 \nL 125.621836 133.413146 \nL 126.484243 135.557661 \nL 127.187239 137.665541 \nL 127.737108 139.730578 \nL 128.140031 141.747133 \nL 128.401938 143.710032 \nL 128.52839 145.614465 \nL 128.524523 147.455902 \nL 128.394989 149.230029 \nL 128.143936 150.932662 \nL 127.775008 152.559686 \nL 127.291358 154.106994 \nL 126.695677 155.570441 \nL 125.990214 156.945789 \nL 125.176848 158.228678 \nL 124.257129 159.414555 \nL 123.232342 160.498671 \nL 122.10357 161.476045 \nL 120.871778 162.341434 \nL 119.537893 163.089322 \nL 118.102896 163.713908 \nL 116.567913 164.209123 \nL 114.934321 164.568623 \nL 113.203885 164.785848 \nL 111.378844 164.854047 \nL 109.462075 164.766346 \nL 107.457231 164.515857 \nL 105.36888 164.095775 \nL 103.202681 163.499534 \nL 100.96554 162.720995 \nL 98.665779 161.75464 \nL 96.313299 160.595858 \nL 93.919737 159.241215 \nL 91.498614 157.688781 \nL 89.065432 155.9385 \nL 86.637785 153.992558 \nL 84.235366 151.85579 \nL 81.879958 149.53605 \nL 79.595323 147.044594 \nL 77.407009 144.396373 \nL 75.342083 141.610275 \nL 73.428677 138.709236 \nL 71.695517 135.72022 \nL 70.17127 132.674016 \nL 68.883802 129.604848 \nL 67.859347 126.549786 \nL 67.121591 123.547935 \nL 66.690797 120.639432 \nL 66.582889 117.864338 \nL 66.808633 115.261381 \nL 67.372988 112.866729 \nL 68.274579 110.712766 \nL 69.50548 108.827061 \nL 71.051177 107.2315 \nL 72.890895 105.941746 \nL 74.99813 104.966916 \nL 77.341468 104.309648 \nL 79.885584 103.966432 \nL 82.592399 103.92821 \nL 85.422277 104.181128 \nL 88.335247 104.707424 \nL 91.292144 105.486438 \nL 94.255606 106.495505 \nL 97.190947 107.710838 \nL 100.066783 109.108301 \nL 102.855504 110.664061 \nL 105.533512 112.35507 \nL 108.081277 114.159457 \nL 110.483254 116.056763 \nL 112.727675 118.028107 \nL 114.806219 120.056217 \nL 116.713648 122.125415 \nL 118.447384 124.221586 \nL 120.00709 126.332071 \nL 121.394243 128.445529 \nL 122.611765 130.551815 \nL 123.66363 132.641886 \nL 124.554566 134.707621 \nL 125.289773 136.741715 \nL 125.874682 138.737573 \nL 126.314769 140.689185 \nL 126.615389 142.591028 \nL 126.781674 144.437982 \nL 126.818442 146.225227 \nL 126.730141 147.948197 \nL 126.520796 149.602478 \nL 126.194023 151.183756 \nL 125.753016 152.687777 \nL 125.200558 154.110274 \nL 124.539074 155.446917 \nL 123.770636 156.693293 \nL 122.897049 157.844856 \nL 121.919879 158.896888 \nL 120.840527 159.844491 \nL 119.660303 160.682548 \nL 118.380499 161.405731 \nL 117.002477 162.008486 \nL 115.52775 162.485042 \nL 113.958111 162.829431 \nL 112.295706 163.035514 \nL 110.543178 163.097046 \nL 108.703781 163.007744 \nL 106.781517 162.761355 \nL 104.781265 162.351794 \nL 102.708942 161.773276 \nL 100.571631 161.020499 \nL 98.377748 160.088835 \nL 96.137167 158.974566 \nL 93.861372 157.675164 \nL 91.563555 156.189579 \nL 89.258714 154.518555 \nL 86.96372 152.664973 \nL 84.697312 150.634188 \nL 82.480051 148.434371 \nL 80.334214 146.076784 \nL 78.283598 143.576056 \nL 76.353246 140.950356 \nL 74.569024 138.221453 \nL 72.957181 135.414658 \nL 71.543752 132.558623 \nL 70.353891 129.68497 \nL 69.411132 126.827731 \nL 68.7366 124.02263 \nL 68.34822 121.306187 \nL 68.259925 118.714739 \nL 68.48099 116.283367 \nL 69.015454 114.044806 \nL 69.861689 112.028436 \nL 71.012209 110.259328 \nL 72.453677 108.75756 \nL 74.167201 107.537674 \nL 76.12877 106.608469 \nL 78.309985 105.972994 \nL 80.678947 105.628782 \nL 83.201215 105.568384 \nL 85.840884 105.779999 \nL 88.56162 106.248211 \nL 91.327679 106.954843 \nL 94.104808 107.879757 \nL 96.860985 109.001604 \nL 99.567044 110.298515 \nL 102.197075 111.748729 \nL 104.728685 113.331002 \nL 107.143092 115.025 \nL 109.425073 116.811533 \nL 111.562809 118.672747 \nL 113.547628 120.592153 \nL 115.373698 122.554685 \nL 117.037669 124.546642 \nL 118.538305 126.555625 \nL 119.87613 128.570448 \nL 121.053078 130.581056 \nL 122.072144 132.578377 \nL 122.937123 134.554235 \nL 123.652334 136.501219 \nL 124.222403 138.412594 \nL 124.652085 140.282191 \nL 124.946105 142.104318 \nL 125.109061 143.873686 \nL 125.145323 145.585308 \nL 125.058972 147.234439 \nL 124.853771 148.816522 \nL 124.533132 150.327095 \nL 124.100133 151.761768 \nL 123.557515 153.116165 \nL 122.907711 154.385882 \nL 122.152891 155.566434 \nL 121.294989 156.653247 \nL 120.335766 157.641609 \nL 119.276876 158.526661 \nL 118.119919 159.303384 \nL 116.866524 159.966583 \nL 115.518439 160.510901 \nL 114.077605 160.930822 \nL 112.546265 161.220697 \nL 110.92706 161.374811 \nL 109.223138 161.387394 \nL 107.438282 161.252736 \nL 105.577032 160.965258 \nL 103.644787 160.519644 \nL 101.64798 159.910989 \nL 99.594175 159.13494 \nL 97.492207 158.187942 \nL 95.352295 157.067413 \nL 93.186159 155.772034 \nL 91.007104 154.302005 \nL 88.830068 152.659325 \nL 86.671661 150.848095 \nL 84.550127 148.87482 \nL 82.485277 146.748665 \nL 80.498346 144.48169 \nL 78.611757 142.089054 \nL 76.848847 139.589077 \nL 75.233453 137.003285 \nL 73.789471 134.356267 \nL 72.540285 131.675425 \nL 71.508147 128.990568 \nL 70.713545 126.333374 \nL 70.174471 123.7367 \nL 69.905732 121.233743 \nL 69.918314 118.857206 \nL 70.21884 116.638292 \nL 70.80908 114.60583 \nL 71.685693 112.785381 \nL 72.840101 111.198525 \nL 74.258581 109.862242 \nL 75.922569 108.788563 \nL 77.809123 107.9844 \nL 79.891595 107.451606 \nL 82.140416 107.187255 \nL 84.523974 107.184067 \nL 87.009532 107.430978 \nL 89.564147 107.913825 \nL 92.155524 108.616028 \nL 94.752784 109.519302 \nL 97.327104 110.604307 \nL 99.852213 111.851211 \nL 102.304756 113.240229 \nL 104.664494 114.752036 \nL 106.914374 116.368026 \nL 109.0405 118.070575 \nL 111.031976 119.843192 \nL 112.880697 121.670567 \nL 114.581069 123.538633 \nL 116.129728 125.434498 \nL 117.525209 127.346425 \nL 118.767622 129.263762 \nL 119.858363 131.176838 \nL 120.799813 133.07688 \nL 121.595102 134.95591 \nL 122.247868 136.806665 \nL 122.762069 138.622485 \nL 123.141812 140.397233 \nL 123.39123 142.125214 \nL 123.514368 143.801089 \nL 123.515107 145.419822 \nL 123.39712 146.976594 \nL 123.163822 148.466761 \nL 122.818356 149.885779 \nL 122.363603 151.229173 \nL 121.802176 152.492499 \nL 121.136461 153.671281 \nL 120.368641 154.760998 \nL 119.50074 155.757053 \nL 118.534673 156.654741 \nL 117.472309 157.44925 \nL 116.315538 158.135644 \nL 115.06634 158.708874 \nL 113.726873 159.163783 \nL 112.299541 159.495122 \nL 110.787115 159.697603 \nL 109.192811 159.765933 \nL 107.520397 159.694883 \nL 105.774317 159.479383 \nL 103.959793 159.114611 \nL 102.082946 158.596139 \nL 100.150906 157.920059 \nL 98.17193 157.083175 \nL 96.155499 156.083197 \nL 94.112431 154.918936 \nL 92.054937 153.590561 \nL 89.99668 152.099842 \nL 87.952798 150.450412 \nL 85.939887 148.648002 \nL 83.975938 146.700696 \nL 82.080206 144.61913 \nL 80.273032 142.416661 \nL 78.575593 140.109449 \nL 77.009585 137.716499 \nL 75.596797 135.259564 \nL 74.358679 132.762951 \nL 73.315787 130.253212 \nL 72.487221 127.758668 \nL 71.890021 125.308905 \nL 71.538561 122.934054 \nL 71.443992 120.66403 \nL 71.613693 118.527767 \nL 72.050864 116.552408 \nL 72.754238 114.762472 \nL 73.717901 113.179233 \nL 74.93132 111.820131 \nL 76.379516 110.698344 \nL 78.04341 109.82258 \nL 79.900354 109.197005 \nL 81.92474 108.821421 \nL 84.088752 108.691537 \nL 86.363144 108.799398 \nL 88.71804 109.133925 \nL 91.123712 109.681508 \nL 93.551295 110.426591 \nL 95.973402 111.352271 \nL 98.364653 112.440847 \nL 100.702038 113.674295 \nL 102.965204 115.034716 \nL 105.136578 116.504592 \nL 107.201399 118.067126 \nL 109.147674 119.70638 \nL 110.966022 121.407366 \nL 112.649465 123.156152 \nL 114.193201 124.93985 \nL 115.594339 126.746643 \nL 116.851615 128.565666 \nL 117.965122 130.387004 \nL 118.93606 132.201613 \nL 119.766482 134.001211 \nL 120.459084 135.778219 \nL 121.017007 137.52568 \nL 121.443675 139.237156 \nL 121.742653 140.906686 \nL 121.917545 142.528683 \nL 121.971895 144.097884 \nL 121.90913 145.609277 \nL 121.732509 147.058057 \nL 121.4451 148.439558 \nL 121.049772 149.749221 \nL 120.54919 150.982539 \nL 119.945826 152.135022 \nL 119.242004 153.20218 \nL 118.439918 154.179477 \nL 117.541679 155.06233 \nL 116.549366 155.846079 \nL 115.46509 156.525991 \nL 114.291064 157.097259 \nL 113.029662 157.555027 \nL 111.683503 157.894381 \nL 110.255542 158.110418 \nL 108.749157 158.198264 \nL 107.168239 158.153161 \nL 105.517299 157.970526 \nL 103.801557 157.646061 \nL 102.02706 157.175864 \nL 100.200774 156.55655 \nL 98.33069 155.785436 \nL 96.425897 154.860676 \nL 94.496685 153.781495 \nL 92.554582 152.54836 \nL 90.612422 151.163212 \nL 88.684339 149.629697 \nL 86.785744 147.953362 \nL 84.933264 146.141872 \nL 83.144637 144.205179 \nL 81.438532 142.155651 \nL 79.834324 140.00817 \nL 78.351805 137.780123 \nL 77.010819 135.491325 \nL 75.830898 133.16386 \nL 74.830734 130.821806 \nL 74.027739 128.490816 \nL 73.437476 126.197696 \nL 73.073155 123.969756 \nL 72.945134 121.834214 \nL 73.060456 119.817506 \nL 73.422485 117.944537 \nL 74.030614 116.238065 \nL 74.880131 114.718028 \nL 75.962201 113.401102 \nL 77.263997 112.300235 \nL 78.76898 111.424486 \nL 80.457323 110.77888 \nL 82.306433 110.364523 \nL 84.291578 110.178807 \nL 86.386534 110.215742 \nL 88.56432 110.466377 \nL 90.797853 110.919293 \nL 93.0606 111.561128 \nL 95.327142 112.377062 \nL 97.573653 113.351355 \nL 99.778297 114.467731 \nL 101.92148 115.709823 \nL 103.986022 117.061462 \nL 105.957241 118.50694 \nL 107.822914 120.031175 \nL 109.573201 121.619901 \nL 111.200496 123.259692 \nL 112.699229 124.938057 \nL 114.065646 126.64338 \nL 115.297589 128.364963 \nL 116.394243 130.092937 \nL 117.35591 131.818244 \nL 118.879813 135.228207 \nL 119.886262 138.535697 \nL 120.398181 141.689937 \nL 120.476496 143.195476 \nL 120.440543 144.646371 \nL 120.293352 146.037711 \nL 120.037823 147.364753 \nL 119.676726 148.622875 \nL 119.212679 149.80755 \nL 118.648174 150.914279 \nL 117.985584 151.938594 \nL 117.227209 152.876029 \nL 116.375294 153.722093 \nL 115.432093 154.472272 \nL 114.399909 155.122007 \nL 113.281158 155.666717 \nL 112.078441 156.101794 \nL 110.79461 156.422658 \nL 109.432843 156.624764 \nL 107.996741 156.703645 \nL 106.490384 156.655002 \nL 104.918457 156.47475 \nL 103.286309 156.159127 \nL 101.600061 155.704801 \nL 99.866692 155.108981 \nL 98.094121 154.369575 \nL 96.291271 153.485351 \nL 94.468157 152.456085 \nL 92.635912 151.282759 \nL 90.806815 149.967771 \nL 88.994299 148.515083 \nL 87.212906 146.930441 \nL 85.478227 145.221517 \nL 83.806778 143.398065 \nL 82.215839 141.472015 \nL 80.723228 139.457538 \nL 79.347045 137.371006 \nL 78.105343 135.230928 \nL 77.015766 133.057769 \nL 76.095121 130.873698 \nL 75.358948 128.702217 \nL 74.821073 126.567748 \nL 74.493113 124.495117 \nL 74.384099 122.508984 \nL 74.50005 120.633256 \nL 74.843688 118.890447 \nL 75.414176 117.301139 \nL 76.207033 115.883431 \nL 77.214099 114.652496 \nL 78.423677 113.620242 \nL 79.820799 112.795128 \nL 81.387546 112.182075 \nL 83.103533 111.782476 \nL 84.946433 111.594446 \nL 86.892569 111.613036 \nL 88.917508 111.830598 \nL 90.996669 112.237247 \nL 93.105877 112.821228 \nL 95.221859 113.569392 \nL 97.322681 114.467654 \nL 99.388108 115.501349 \nL 101.399836 116.655579 \nL 103.341677 117.91551 \nL 105.199622 119.266628 \nL 106.961862 120.694926 \nL 108.618715 122.186993 \nL 110.16251 123.730172 \nL 112.889409 126.923025 \nL 115.115126 130.187695 \nL 116.832701 133.450341 \nL 118.049414 136.647731 \nL 118.781379 139.725444 \nL 119.049229 142.635955 \nL 118.875122 145.336834 \nL 118.629196 146.596405 \nL 118.280878 147.789172 \nL 117.832702 148.910605 \nL 117.287128 149.956246 \nL 116.646548 150.921666 \nL 115.913319 151.80248 \nL 115.089793 152.594299 \nL 114.178361 153.292747 \nL 113.181502 153.893456 \nL 112.101836 154.392065 \nL 110.942191 154.784247 \nL 109.705656 155.065724 \nL 108.395666 155.232313 \nL 107.016072 155.279976 \nL 105.571212 155.20488 \nL 104.066002 155.003464 \nL 102.506011 154.672539 \nL 100.897531 154.209385 \nL 99.247662 153.611871 \nL 97.564377 152.878581 \nL 95.856585 152.008969 \nL 94.134174 151.003512 \nL 92.408038 149.863864 \nL 90.690102 148.593029 \nL 88.993274 147.195528 \nL 87.331428 145.677522 \nL 85.7193 144.046988 \nL 84.172368 142.31378 \nL 82.706697 140.48973 \nL 81.338702 138.588654 \nL 80.084918 136.626291 \nL 78.96168 134.620227 \nL 77.984783 132.589687 \nL 77.169125 130.555325 \nL 76.528301 128.538801 \nL 76.074217 126.562491 \nL 75.816686 124.64894 \nL 75.763076 122.820399 \nL 75.917983 121.098295 \nL 76.282991 119.502704 \nL 76.856494 118.051862 \nL 77.633626 116.761724 \nL 78.606257 115.645593 \nL 79.763167 114.713875 \nL 81.090267 113.973849 \nL 82.570919 113.429684 \nL 84.186359 113.082468 \nL 85.916167 112.930346 \nL 87.738774 112.968782 \nL 89.631998 113.190865 \nL 91.573536 113.587644 \nL 93.541472 114.148561 \nL 95.514698 114.861752 \nL 97.473299 115.714467 \nL 99.398833 116.693418 \nL 101.274569 117.785044 \nL 103.085642 118.97581 \nL 104.819104 120.252385 \nL 108.011074 123.011724 \nL 110.78456 125.966265 \nL 113.100138 129.029418 \nL 114.93992 132.125368 \nL 116.302042 135.188384 \nL 117.195521 138.161461 \nL 117.63594 140.994785 \nL 117.642202 143.644086 \nL 117.234303 146.069205 \nL 116.881289 147.185942 \nL 116.432164 148.232778 \nL 115.889336 149.205308 \nL 115.255205 150.099203 \nL 114.532166 150.910171 \nL 113.722671 151.633968 \nL 112.829239 152.266378 \nL 111.854525 152.803232 \nL 110.801355 153.240417 \nL 109.672781 153.573894 \nL 108.472159 153.799732 \nL 107.203197 153.914137 \nL 105.870033 153.913517 \nL 104.477293 153.794544 \nL 103.030175 153.554216 \nL 101.534503 153.189958 \nL 98.424386 152.082087 \nL 95.208631 150.462871 \nL 91.962556 148.338563 \nL 88.775701 145.734119 \nL 85.751034 142.697548 \nL 84.33476 141.039367 \nL 83.002282 139.303209 \nL 81.768687 137.502737 \nL 80.648975 135.65327 \nL 79.657803 133.77168 \nL 78.80913 131.876175 \nL 78.115911 129.986056 \nL 77.589746 128.121393 \nL 77.240532 126.302631 \nL 77.076127 124.550197 \nL 77.102048 122.884031 \nL 77.321262 121.323137 \nL 77.733956 119.885138 \nL 78.33743 118.585882 \nL 79.126079 117.439069 \nL 80.091453 116.455933 \nL 81.222402 115.645088 \nL 82.505325 115.012387 \nL 83.924469 114.560895 \nL 85.46231 114.290966 \nL 87.099993 114.200422 \nL 88.817748 114.284728 \nL 90.595376 114.537294 \nL 92.412676 114.949782 \nL 94.249868 115.512429 \nL 96.087939 116.214387 \nL 97.908987 117.043991 \nL 99.696444 117.989119 \nL 103.112098 120.176477 \nL 106.234704 122.678515 \nL 108.991097 125.402177 \nL 111.333288 128.262312 \nL 113.234706 131.18303 \nL 114.685607 134.097571 \nL 115.688407 136.947515 \nL 116.253559 139.681574 \nL 116.396297 142.25421 \nL 116.134239 144.624287 \nL 115.485942 146.753914 \nL 115.022838 147.717356 \nL 114.470263 148.607458 \nL 113.830614 149.420004 \nL 113.106359 150.15085 \nL 112.300042 150.795919 \nL 111.414327 151.351203 \nL 110.452043 151.812771 \nL 109.416233 152.176784 \nL 108.310204 152.439541 \nL 107.137581 152.597479 \nL 105.902367 152.647241 \nL 104.609009 152.585724 \nL 101.86819 152.118141 \nL 98.961737 151.177733 \nL 95.946964 149.756845 \nL 92.893204 147.860635 \nL 89.882365 145.510887 \nL 87.008269 142.74977 \nL 84.374444 139.64277 \nL 83.181655 137.986803 \nL 82.089954 136.280124 \nL 81.112818 134.537706 \nL 80.26318 132.775778 \nL 79.553154 131.011613 \nL 78.993723 129.263241 \nL 78.594443 127.549182 \nL 78.363153 125.888059 \nL 78.305678 124.298214 \nL 78.425656 122.797334 \nL 78.724291 121.402063 \nL 79.200262 120.127604 \nL 79.849659 118.987412 \nL 80.665998 117.992874 \nL 81.640317 117.15314 \nL 82.761367 116.474937 \nL 84.015826 115.962557 \nL 85.388622 115.617808 \nL 86.863267 115.440154 \nL 88.422245 115.426836 \nL 90.047404 115.573134 \nL 91.72036 115.87255 \nL 93.42285 116.317099 \nL 95.137102 116.897632 \nL 96.846122 117.604049 \nL 100.185917 119.351256 \nL 103.330329 121.469373 \nL 106.19069 123.868791 \nL 108.702181 126.464224 \nL 110.822079 129.177264 \nL 112.526438 131.937431 \nL 113.806107 134.682226 \nL 114.662771 137.356447 \nL 115.105424 139.911144 \nL 115.147599 142.302508 \nL 114.805381 144.49074 \nL 114.096217 146.43905 \nL 113.038397 148.112917 \nL 112.384723 148.836621 \nL 111.651221 149.479537 \nL 110.840562 150.037794 \nL 109.955569 150.50763 \nL 108.999273 150.885398 \nL 107.974958 151.167595 \nL 105.736886 151.432138 \nL 103.27439 151.27738 \nL 100.627721 150.684541 \nL 97.845948 149.642195 \nL 94.988317 148.1491 \nL 92.125069 146.217396 \nL 89.337402 143.875909 \nL 86.716228 141.173144 \nL 84.359429 138.179254 \nL 82.367324 134.986324 \nL 81.538543 133.349545 \nL 80.836432 131.706321 \nL 80.271211 130.072952 \nL 79.851865 128.466203 \nL 79.585889 126.903025 \nL 79.479052 125.400215 \nL 79.535183 123.974078 \nL 79.755998 122.640079 \nL 80.140967 121.4125 \nL 80.687274 120.3042 \nL 81.389793 119.32626 \nL 82.241149 118.487844 \nL 83.231867 117.796017 \nL 84.350548 117.255683 \nL 85.584109 116.86954 \nL 86.918082 116.638124 \nL 88.336929 116.559979 \nL 89.824384 116.631718 \nL 91.363796 116.848314 \nL 92.938464 117.203254 \nL 94.531958 117.688799 \nL 97.712737 119.016224 \nL 100.789879 120.75347 \nL 103.665249 122.818361 \nL 106.261579 125.128937 \nL 108.522644 127.60719 \nL 110.411468 130.181135 \nL 111.907384 132.785702 \nL 113.002566 135.362743 \nL 113.698665 137.860436 \nL 114.003888 140.23246 \nL 113.930665 142.437013 \nL 113.494041 144.435936 \nL 112.710751 146.193887 \nL 111.598914 147.677778 \nL 110.178217 148.856422 \nL 108.470582 149.700547 \nL 106.501179 150.183103 \nL 104.299649 150.280076 \nL 101.901525 149.971717 \nL 99.349651 149.24432 \nL 96.69548 148.092449 \nL 93.999961 146.521632 \nL 91.333871 144.551199 \nL 88.777197 142.217045 \nL 86.417302 139.573774 \nL 84.345707 136.6957 \nL 82.653296 133.676087 \nL 81.976023 132.14684 \nL 81.424181 130.624136 \nL 81.006063 129.123211 \nL 80.728658 127.659496 \nL 80.597419 126.248317 \nL 80.616083 124.904616 \nL 80.786523 123.642647 \nL 81.108628 122.475681 \nL 81.580235 121.415734 \nL 82.197123 120.473334 \nL 82.95306 119.657339 \nL 83.839886 118.974753 \nL 84.847692 118.430695 \nL 85.964993 118.028322 \nL 87.179 117.768829 \nL 88.475861 117.651604 \nL 89.840987 117.674255 \nL 91.259322 117.832829 \nL 92.715659 118.121976 \nL 95.682408 119.064852 \nL 98.626584 120.439985 \nL 101.446161 122.175254 \nL 104.056038 124.19492 \nL 106.389867 126.423994 \nL 108.399763 128.791198 \nL 110.054538 131.2306 \nL 111.337042 133.682317 \nL 112.241164 136.092463 \nL 112.769035 138.412655 \nL 112.928557 140.599301 \nL 112.731563 142.612813 \nL 112.19253 144.416909 \nL 111.327923 145.977964 \nL 110.156027 147.264669 \nL 108.697263 148.247843 \nL 106.974869 148.900605 \nL 105.015837 149.198925 \nL 102.8521 149.12252 \nL 100.521699 148.656254 \nL 98.069976 147.791938 \nL 95.550489 146.530513 \nL 93.025473 144.884469 \nL 90.565626 142.880336 \nL 88.248924 140.560757 \nL 86.158281 137.98583 \nL 84.377912 135.233112 \nL 82.988449 132.395911 \nL 82.061031 129.579438 \nL 81.788671 128.213715 \nL 81.651008 126.894995 \nL 81.651508 125.636934 \nL 81.791983 124.452589 \nL 82.07246 123.354143 \nL 82.491149 122.352724 \nL 83.044411 121.458155 \nL 83.726805 120.678773 \nL 84.531161 120.021321 \nL 85.448709 119.490826 \nL 86.46926 119.090599 \nL 87.581382 118.822202 \nL 88.772675 118.685529 \nL 90.029997 118.678877 \nL 91.339726 118.799091 \nL 94.061108 119.401141 \nL 96.828011 120.443433 \nL 99.539087 121.865356 \nL 102.105625 123.599322 \nL 104.454661 125.575524 \nL 106.529992 127.725334 \nL 108.291564 129.983619 \nL 109.713705 132.290103 \nL 110.782762 134.589775 \nL 111.494527 136.832834 \nL 111.8519 138.974268 \nL 111.862887 140.97326 \nL 111.539152 142.792582 \nL 110.89504 144.398005 \nL 109.947136 145.757905 \nL 108.71428 146.843055 \nL 107.217944 147.626644 \nL 105.482922 148.084641 \nL 103.538218 148.196472 \nL 101.418081 147.946083 \nL 99.162986 147.323412 \nL 96.820539 146.326154 \nL 94.445955 144.961833 \nL 92.102111 143.249966 \nL 89.858772 141.223979 \nL 87.790901 138.93266 \nL 85.975888 136.440621 \nL 84.48965 133.827381 \nL 83.401743 131.184807 \nL 82.769933 128.612731 \nL 82.638537 127.385061 \nL 82.634737 126.212991 \nL 82.760127 125.108416 \nL 83.014719 124.082507 \nL 83.396889 123.145424 \nL 83.903361 122.306226 \nL 84.529241 121.572622 \nL 85.268091 120.950924 \nL 86.112027 120.445931 \nL 87.051882 120.060892 \nL 88.077367 119.797506 \nL 89.177297 119.655944 \nL 90.339777 119.634963 \nL 92.802749 119.943161 \nL 95.365977 120.68783 \nL 97.932126 121.820222 \nL 100.412394 123.282052 \nL 102.730422 125.010118 \nL 104.824336 126.940021 \nL 106.647171 129.008959 \nL 108.166023 131.157466 \nL 109.360318 133.330426 \nL 110.219711 135.477363 \nL 110.741948 137.552346 \nL 110.930889 139.513629 \nL 110.794959 141.323173 \nL 110.346015 142.946183 \nL 109.598644 144.35068 \nL 108.569958 145.507285 \nL 107.279685 146.389188 \nL 105.750632 146.972341 \nL 104.009353 147.235972 \nL 102.086956 147.163436 \nL 100.019964 146.743339 \nL 97.851087 145.971068 \nL 95.629764 144.850477 \nL 93.41227 143.395766 \nL 91.261277 141.633202 \nL 89.244596 139.602594 \nL 87.433057 137.357911 \nL 85.897387 134.966991 \nL 84.704202 132.50978 \nL 83.911363 130.075082 \nL 83.563104 127.755878 \nL 83.564675 126.66836 \nL 83.685584 125.643508 \nL 83.925703 124.691453 \nL 84.283448 123.821451 \nL 84.755753 123.041731 \nL 85.338101 122.359375 \nL 86.024598 121.780161 \nL 86.808068 121.308547 \nL 87.680159 120.947599 \nL 88.631537 120.698972 \nL 89.652035 120.562988 \nL 91.856749 120.623815 \nL 94.203887 121.108364 \nL 96.602349 121.979347 \nL 98.965898 123.188121 \nL 101.217489 124.678978 \nL 103.292041 126.392868 \nL 105.137695 128.270465 \nL 106.715767 130.254284 \nL 107.999726 132.290026 \nL 108.973603 134.327301 \nL 109.630123 136.319825 \nL 109.968925 138.225308 \nL 109.994991 140.005151 \nL 109.7174 141.624068 \nL 109.148524 143.049783 \nL 108.303547 144.252749 \nL 107.200421 145.2061 \nL 105.86007 145.88575 \nL 104.306859 146.270806 \nL 102.56923 146.344184 \nL 100.680383 146.093565 \nL 98.678972 145.512611 \nL 96.609571 144.602417 \nL 94.522873 143.373092 \nL 92.475429 141.845331 \nL 90.528712 140.051725 \nL 88.747464 138.037562 \nL 87.197198 135.860817 \nL 85.940894 133.590999 \nL 85.035067 131.306799 \nL 84.525493 129.09233 \nL 84.443087 127.032404 \nL 84.566806 126.085743 \nL 84.800494 125.207051 \nL 85.142521 124.404727 \nL 85.589923 123.686202 \nL 86.13846 123.057869 \nL 86.782648 122.524984 \nL 87.515853 122.091576 \nL 88.330423 121.760437 \nL 89.217802 121.533128 \nL 91.173272 121.390171 \nL 93.302203 121.651794 \nL 95.521012 122.291238 \nL 97.747899 123.26927 \nL 99.907249 124.537998 \nL 101.932875 126.044456 \nL 103.769892 127.733656 \nL 105.375363 129.550948 \nL 106.717903 131.443733 \nL 107.776613 133.362403 \nL 108.539603 135.260912 \nL 109.002404 137.096847 \nL 109.166501 138.831335 \nL 109.038061 140.428804 \nL 108.627049 141.856741 \nL 107.946616 143.085461 \nL 107.012848 144.088038 \nL 105.844828 144.84037 \nL 104.464892 145.321447 \nL 102.899116 145.513883 \nL 101.177852 145.404665 \nL 99.336278 144.98617 \nL 97.414852 144.257362 \nL 95.459516 143.225177 \nL 93.521505 141.905875 \nL 91.656699 140.326237 \nL 89.924295 138.524425 \nL 88.384796 136.550115 \nL 87.097281 134.463806 \nL 86.116054 132.335053 \nL 85.486968 130.239572 \nL 85.243695 128.255293 \nL 85.404422 126.457741 \nL 85.637138 125.650757 \nL 85.969527 124.915268 \nL 86.398679 124.257938 \nL 86.920532 123.684517 \nL 87.529931 123.199677 \nL 88.220693 122.807036 \nL 88.985738 122.509091 \nL 90.706508 122.20166 \nL 92.622311 122.275514 \nL 94.65768 122.713166 \nL 96.736398 123.484196 \nL 98.785844 124.548435 \nL 100.740424 125.859292 \nL 102.543868 127.36667 \nL 104.15041 129.019472 \nL 105.524957 130.767446 \nL 106.642509 132.562439 \nL 107.48708 134.35914 \nL 108.05038 136.115459 \nL 108.330486 137.792575 \nL 108.330649 139.354856 \nL 108.058342 140.769675 \nL 107.524564 142.007307 \nL 106.743498 143.040772 \nL 105.732364 143.84597 \nL 104.511589 144.401806 \nL 103.105079 144.690677 \nL 101.54066 144.699038 \nL 99.850507 144.418265 \nL 98.071512 143.845679 \nL 96.245506 142.985692 \nL 94.419127 141.851002 \nL 92.643309 140.463685 \nL 90.972256 138.855993 \nL 89.461762 137.070617 \nL 88.166972 135.160307 \nL 87.139549 133.186527 \nL 86.424466 131.217206 \nL 86.056682 129.323485 \nL 86.058102 127.575849 \nL 86.435168 126.039843 \nL 86.762 125.369334 \nL 87.177522 124.772035 \nL 87.677819 124.253034 \nL 88.257986 123.816485 \nL 89.633947 123.202389 \nL 91.250068 122.943111 \nL 93.041978 123.036398 \nL 94.940497 123.465959 \nL 96.875866 124.203793 \nL 98.781561 125.213013 \nL 100.597325 126.450706 \nL 102.271206 127.870621 \nL 103.760674 129.425278 \nL 105.032796 131.067766 \nL 106.063845 132.752874 \nL 106.838358 134.437829 \nL 107.348066 136.082716 \nL 107.590745 137.650576 \nL 107.569189 139.107409 \nL 107.29037 140.422099 \nL 106.76485 141.566329 \nL 106.006434 142.514576 \nL 105.032086 143.244204 \nL 103.861988 143.73571 \nL 102.519815 143.973149 \nL 101.033053 143.944759 \nL 99.433303 143.643711 \nL 97.75657 143.069063 \nL 96.043296 142.2268 \nL 94.338152 141.130807 \nL 92.689394 139.803788 \nL 91.147817 138.27779 \nL 89.76507 136.594329 \nL 88.59155 134.803781 \nL 87.673775 132.964007 \nL 87.051492 131.138141 \nL 86.754783 129.391592 \nL 86.801439 127.788537 \nL 87.19501 126.388086 \nL 87.923804 125.240768 \nL 88.961063 124.385585 \nL 90.266356 123.848025 \nL 91.788083 123.639245 \nL 93.466812 123.756363 \nL 95.239021 124.183901 \nL 97.040824 124.895835 \nL 98.811323 125.858051 \nL 100.495254 127.030902 \nL 102.044833 128.371522 \nL 103.42072 129.835804 \nL 104.59226 131.379933 \nL 105.537161 132.961509 \nL 106.240727 134.54025 \nL 106.694944 136.078378 \nL 106.897532 137.540837 \nL 106.851022 138.895334 \nL 106.562088 140.112323 \nL 106.040956 141.164975 \nL 105.301175 142.029261 \nL 104.359469 142.684069 \nL 103.235818 143.111515 \nL 101.953645 143.297337 \nL 100.540042 143.231506 \nL 99.026027 142.908957 \nL 97.446651 142.330416 \nL 95.840947 141.503326 \nL 94.251614 140.442658 \nL 92.724301 139.171639 \nL 91.306484 137.722069 \nL 90.045868 136.134263 \nL 88.988339 134.456304 \nL 88.175579 132.742644 \nL 87.642483 131.051919 \nL 87.414591 129.444236 \nL 87.505913 127.977885 \nL 87.917333 126.706046 \nL 88.635907 125.673715 \nL 89.635222 124.915176 \nL 90.876767 124.452405 \nL 92.312299 124.294383 \nL 93.88681 124.437508 \nL 95.541893 124.866869 \nL 97.21901 125.558038 \nL 98.862437 126.479304 \nL 100.421577 127.593872 \nL 101.852576 128.86194 \nL 103.11921 130.242468 \nL 104.19312 131.694536 \nL 105.053537 133.178412 \nL 105.686691 134.656196 \nL 106.085022 136.092248 \nL 106.246366 137.45342 \nL 106.17319 138.709128 \nL 105.871965 139.831428 \nL 105.352742 140.795046 \nL 104.628854 141.577486 \nL 103.71684 142.159207 \nL 102.636488 142.523932 \nL 101.410934 142.659073 \nL 100.06687 142.556323 \nL 98.63465 142.212287 \nL 97.148324 141.629294 \nL 95.645489 140.816104 \nL 94.166868 139.78867 \nL 92.755517 138.570608 \nL 91.455706 137.193391 \nL 90.311337 135.696082 \nL 89.364044 134.124528 \nL 88.65098 132.529902 \nL 88.202519 130.966617 \nL 88.04004 129.489799 \nL 88.17409 128.152305 \nL 88.603143 127.001875 \nL 89.313151 126.078387 \nL 90.278019 125.411801 \nL 91.461019 125.020815 \nL 92.81692 124.91234 \nL 94.294749 125.082025 \nL 95.840738 125.515325 \nL 97.401235 126.189175 \nL 98.925254 127.073952 \nL 100.366524 128.135386 \nL 101.6849 129.336451 \nL 102.847135 130.63888 \nL 103.827123 132.00448 \nL 104.605686 133.396012 \nL 105.17007 134.777865 \nL 105.513289 136.116478 \nL 105.633441 137.380577 \nL 105.533047 138.541321 \nL 105.218524 139.572387 \nL 104.699807 140.450075 \nL 103.990102 141.15345 \nL 103.105784 141.664543 \nL 102.06643 141.96871 \nL 100.894895 142.055 \nL 99.617396 141.916764 \nL 98.263584 141.552222 \nL 96.86645 140.96516 \nL 95.462123 140.165571 \nL 94.08931 139.170229 \nL 92.788526 138.00301 \nL 91.600911 136.694934 \nL 90.566737 135.283778 \nL 89.723599 133.813166 \nL 89.104418 132.331114 \nL 88.735394 130.888043 \nL 88.634098 129.534381 \nL 88.807965 128.31802 \nL 89.253325 127.281659 \nL 89.955192 126.460499 \nL 90.887836 125.880549 \nL 92.016178 125.557455 \nL 93.297774 125.496276 \nL 94.68534 125.691861 \nL 96.12934 126.129957 \nL 97.580573 126.788681 \nL 98.992407 127.640201 \nL 100.322562 128.652532 \nL 101.534352 129.791145 \nL 102.597362 131.020364 \nL 103.487669 132.304448 \nL 104.187679 133.608539 \nL 104.685712 134.899221 \nL 104.975455 136.144937 \nL 105.055364 137.316256 \nL 104.928124 138.386058 \nL 104.600187 139.329661 \nL 104.081441 140.124943 \nL 103.385004 140.752533 \nL 102.527113 141.196048 \nL 101.527135 141.442422 \nL 100.407587 141.482345 \nL 99.194185 141.310744 \nL 97.915807 140.92736 \nL 96.604339 140.337333 \nL 95.294378 139.551729 \nL 94.022628 138.587995 \nL 92.827081 137.470132 \nL 91.745844 136.228615 \nL 90.815702 134.899857 \nL 90.070444 133.525276 \nL 89.539046 132.149813 \nL 89.243868 130.820105 \nL 89.199034 129.582243 \nL 89.409187 128.47946 \nL 89.868793 127.549811 \nL 90.562105 126.824298 \nL 91.463824 126.325267 \nL 92.540435 126.065667 \nL 93.75212 126.048793 \nL 95.054952 126.268792 \nL 96.403282 126.711624 \nL 97.751979 127.356417 \nL 99.058407 128.176979 \nL 100.283972 129.143379 \nL 101.395187 130.223342 \nL 102.364303 131.383503 \nL 103.169497 132.5905 \nL 103.794725 133.811672 \nL 104.229411 135.015688 \nL 104.467964 136.17293 \nL 104.509278 137.255773 \nL 104.356274 138.238802 \nL 104.015505 139.098942 \nL 103.496864 139.81565 \nL 102.813411 140.37111 \nL 101.981254 140.750518 \nL 101.019528 140.942364 \nL 99.95039 140.938892 \nL 98.798991 140.736549 \nL 97.593376 140.33649 \nL 96.364279 139.745084 \nL 95.14472 138.974337 \nL 93.969396 138.042213 \nL 92.873807 136.972695 \nL 91.893122 135.795576 \nL 91.060796 134.545859 \nL 90.407035 133.262756 \nL 89.957159 131.988266 \nL 89.730006 130.765423 \nL 89.7366 129.636235 \nL 89.979122 128.639628 \nL 90.450449 127.809457 \nL 91.134246 127.172848 \nL 92.005708 126.748896 \nL 93.032858 126.548039 \nL 94.178304 126.572054 \nL 95.40125 126.814413 \nL 96.659602 127.261276 \nL 97.911966 127.892674 \nL 99.119362 128.683888 \nL 100.246581 129.606809 \nL 101.721791 131.171811 \nL 102.868557 132.859946 \nL 103.423076 134.002399 \nL 103.797809 135.124047 \nL 103.987908 136.197129 \nL 103.992761 137.195781 \nL 103.815582 138.096243 \nL 103.463069 138.877043 \nL 102.945161 139.5192 \nL 102.274866 140.006446 \nL 101.468165 140.325486 \nL 100.543936 140.466359 \nL 99.523932 140.422796 \nL 98.432685 140.192667 \nL 97.297371 139.77844 \nL 96.147497 139.187562 \nL 95.014494 138.432839 \nL 93.418247 137.035154 \nL 92.044275 135.396084 \nL 91.303568 134.222352 \nL 90.734931 133.026489 \nL 90.360286 131.847654 \nL 90.195287 130.725438 \nL 90.24817 129.698058 \nL 90.51897 128.8005 \nL 90.99923 128.062742 \nL 91.672202 127.508386 \nL 92.513659 127.153599 \nL 93.493122 127.006642 \nL 94.575483 127.067852 \nL 95.722843 127.330149 \nL 96.896404 127.779878 \nL 98.058185 128.397897 \nL 99.701781 129.58848 \nL 101.135066 131.013896 \nL 102.276589 132.576584 \nL 103.06983 134.178612 \nL 103.388246 135.221978 \nL 103.532951 136.215098 \nL 103.503841 137.133805 \nL 103.304443 137.955953 \nL 102.941641 138.661634 \nL 102.425444 139.233409 \nL 101.768808 139.656517 \nL 100.987573 139.919159 \nL 100.100339 140.012829 \nL 99.1284 139.932692 \nL 98.095634 139.677942 \nL 97.028271 139.252228 \nL 95.424616 138.312878 \nL 93.908255 137.058679 \nL 92.582441 135.564795 \nL 91.544828 133.929288 \nL 91.054982 132.816613 \nL 90.749335 131.728313 \nL 90.640653 130.700749 \nL 90.734704 129.768602 \nL 91.029667 128.963181 \nL 91.515974 128.310955 \nL 92.176661 127.832368 \nL 92.988123 127.540937 \nL 93.921349 127.442976 \nL 94.943401 127.537581 \nL 96.019092 127.817196 \nL 97.112633 128.26835 \nL 98.710812 129.225509 \nL 100.164483 130.449578 \nL 101.385252 131.852573 \nL 102.306869 133.342441 \nL 102.88604 134.82847 \nL 103.101256 136.225236 \nL 103.0409 137.068181 \nL 102.821494 137.81626 \nL 102.450119 138.451092 \nL 101.936838 138.956728 \nL 101.294582 139.319876 \nL 100.539012 139.530181 \nL 99.688419 139.580541 \nL 98.763607 139.467446 \nL 97.288473 138.993448 \nL 95.785532 138.173438 \nL 94.348697 137.05048 \nL 93.074282 135.691247 \nL 92.05418 134.183854 \nL 91.367614 132.632783 \nL 91.124865 131.630092 \nL 91.066796 130.691416 \nL 91.196993 129.848126 \nL 91.512063 129.128192 \nL 92.001559 128.554893 \nL 92.648418 128.145792 \nL 93.429752 127.912061 \nL 94.317987 127.858269 \nL 95.282244 127.982467 \nL 96.289845 128.276703 \nL 97.8106 129.006645 \nL 99.249216 130.026102 \nL 100.513382 131.258217 \nL 101.52944 132.618484 \nL 102.244674 134.020636 \nL 102.627415 135.381172 \nL 102.665691 136.622643 \nL 102.502071 137.34965 \nL 102.193403 137.974842 \nL 101.748421 138.482494 \nL 101.178643 138.85938 \nL 100.498245 139.095042 \nL 99.723959 139.182068 \nL 98.874908 139.116406 \nL 97.508432 138.731856 \nL 96.102395 138.01947 \nL 94.743991 137.016457 \nL 93.523053 135.78189 \nL 92.525996 134.394948 \nL 91.828413 132.950543 \nL 91.487184 131.552269 \nL 91.474224 130.696918 \nL 91.635754 129.936401 \nL 91.967031 129.295593 \nL 92.456952 128.79486 \nL 93.0885 128.449207 \nL 93.839542 128.267737 \nL 94.68392 128.253484 \nL 95.59271 128.403598 \nL 97.010236 128.91748 \nL 98.402987 129.734272 \nL 99.677745 130.789361 \nL 100.755899 132.007193 \nL 101.577132 133.307399 \nL 102.10076 134.609729 \nL 102.305332 135.837867 \nL 102.187281 136.922143 \nL 101.934993 137.53463 \nL 101.552119 138.040481 \nL 101.048854 138.426571 \nL 100.437977 138.682401 \nL 99.734737 138.800308 \nL 98.545702 138.709611 \nL 97.256872 138.298656 \nL 95.945008 137.585994 \nL 94.692533 136.610436 \nL 93.58303 135.430812 \nL 92.695406 134.123793 \nL 92.096978 132.779357 \nL 91.83638 131.493878 \nL 91.863273 130.716504 \nL 92.05155 130.032891 \nL 92.395369 129.465124 \nL 92.883119 129.030936 \nL 93.497958 128.743014 \nL 94.218564 128.608624 \nL 95.020145 128.629467 \nL 96.3148 128.942461 \nL 97.635877 129.563147 \nL 98.892006 130.439678 \nL 100.002132 131.506644 \nL 100.900348 132.690844 \nL 101.538367 133.916553 \nL 101.886149 135.109695 \nL 101.93124 136.200991 \nL 101.677492 137.128472 \nL 101.35098 137.629319 \nL 100.908641 138.020742 \nL 100.361949 138.292227 \nL 99.724762 138.435919 \nL 98.635057 138.401973 \nL 97.441093 138.067301 \nL 96.213951 137.446753 \nL 95.030253 136.574008 \nL 93.96811 135.501378 \nL 93.101868 134.297983 \nL 92.495856 133.045761 \nL 92.198024 131.833508 \nL 92.234188 130.749147 \nL 92.444911 130.13686 \nL 92.797826 129.636326 \nL 93.281014 129.262919 \nL 93.877888 129.027288 \nL 94.567958 128.935043 \nL 95.725998 129.065418 \nL 96.954711 129.500419 \nL 98.16696 130.201166 \nL 99.28166 131.113022 \nL 100.22939 132.171039 \nL 100.955879 133.305208 \nL 101.423615 134.444795 \nL 101.611992 135.521922 \nL 101.51648 136.47433 \nL 101.147456 137.247582 \nL 100.760828 137.64102 \nL 99.995539 138.021899 \nL 99.047914 138.130756 \nL 97.972514 137.957455 \nL 96.832679 137.50794 \nL 95.698174 136.805408 \nL 94.641862 135.890609 \nL 93.735318 134.820823 \nL 93.043444 133.667037 \nL 92.618633 132.509289 \nL 92.495193 131.430277 \nL 92.684983 130.508015 \nL 92.980237 130.01355 \nL 93.399688 129.633752 \nL 93.929083 129.3797 \nL 94.550394 129.257907 \nL 95.60819 129.325984 \nL 96.746769 129.682211 \nL 97.885109 130.2941 \nL 98.946362 131.113467 \nL 99.86338 132.081384 \nL 100.582392 133.133063 \nL 101.064951 134.202068 \nL 101.288437 135.22387 \nL 101.245593 136.138708 \nL 100.943565 136.893814 \nL 100.402751 137.445366 \nL 99.655666 137.760238 \nL 98.745759 137.817678 \nL 97.72607 137.61099 \nL 96.657437 137.148839 \nL 95.606049 136.456185 \nL 94.640069 135.574198 \nL 93.825331 134.558901 \nL 93.22028 133.478203 \nL 92.870665 132.407221 \nL 92.804623 131.422231 \nL 93.029128 130.59396 \nL 93.33335 130.158484 \nL 93.749996 129.832325 \nL 94.264993 129.624771 \nL 95.183164 129.545752 \nL 96.214516 129.743268 \nL 97.284516 130.196568 \nL 98.319126 130.86812 \nL 99.250601 131.707884 \nL 100.021832 132.65781 \nL 100.589055 133.656072 \nL 100.923103 134.640855 \nL 101.009536 135.553355 \nL 100.848047 136.340285 \nL 100.451508 136.95589 \nL 99.844932 137.363788 \nL 99.064332 137.538607 \nL 98.155437 137.467588 \nL 97.172185 137.151904 \nL 96.174611 136.607724 \nL 95.226026 135.866472 \nL 94.389388 134.974079 \nL 93.722917 133.988866 \nL 93.275252 132.977992 \nL 93.080777 132.012373 \nL 93.155693 131.160807 \nL 93.495741 130.483769 \nL 94.07596 130.028033 \nL 94.852783 129.822716 \nL 95.768225 129.877336 \nL 96.755434 130.182086 \nL 97.744809 130.709883 \nL 98.669771 131.419902 \nL 99.471515 132.26146 \nL 100.102347 133.17819 \nL 100.527606 134.111831 \nL 100.72644 135.005381 \nL 100.69165 135.805813 \nL 100.429027 136.466253 \nL 99.956431 136.947867 \nL 99.302751 137.221536 \nL 98.506752 137.26939 \nL 97.615642 137.086196 \nL 96.683341 136.680413 \nL 95.768033 136.074746 \nL 94.929137 135.305831 \nL 94.223499 134.422864 \nL 93.701099 133.484831 \nL 93.400613 132.556477 \nL 93.345495 131.70321 \nL 93.541134 130.985498 \nL 93.973732 130.453547 \nL 94.611186 130.142867 \nL 95.406004 130.07168 \nL 96.299803 130.240016 \nL 97.228694 130.630788 \nL 98.128824 131.212347 \nL 98.941235 131.941829 \nL 99.802781 133.057163 \nL 100.234854 133.930507 \nL 100.4577 134.775475 \nL 100.462135 135.541416 \nL 100.251405 136.183106 \nL 99.840399 136.662666 \nL 99.254681 136.951193 \nL 98.529349 137.03025 \nL 97.707714 136.893178 \nL 96.839592 136.546092 \nL 95.979071 136.008394 \nL 94.939315 135.052829 \nL 94.135867 133.926131 \nL 93.750618 133.049263 \nL 93.58495 132.212648 \nL 93.652156 131.475212 \nL 93.948114 130.888702 \nL 94.451245 130.493241 \nL 95.124264 130.313993 \nL 95.917621 130.359617 \nL 96.774086 130.622267 \nL 97.633805 131.079245 \nL 98.686328 131.929262 \nL 99.524951 132.956413 \nL 100.062983 134.041901 \nL 100.237915 134.822294 \nL 100.208154 135.521347 \nL 99.97847 136.097574 \nL 99.564577 136.516713 \nL 98.992127 136.753263 \nL 98.295621 136.791891 \nL 97.517011 136.628597 \nL 96.703948 136.271527 \nL 95.654777 135.531309 \nL 94.75673 134.56592 \nL 94.118879 133.487521 \nL 93.861634 132.682752 \nL 93.816898 131.943868 \nL 93.988758 131.32263 \nL 94.365033 130.86202 \nL 94.918091 130.592596 \nL 95.607259 130.530221 \nL 96.382547 130.675354 \nL 97.189097 131.013789 \nL 98.218353 131.717754 \nL 99.087284 132.62676 \nL 99.702665 133.633206 \nL 100.004146 134.624295 \nL 100.008045 135.292759 \nL 99.823324 135.852211 \nL 99.463036 136.269243 \nL 98.949859 136.518552 \nL 98.315023 136.584276 \nL 97.596978 136.461096 \nL 96.586822 136.015068 \nL 95.620295 135.291533 \nL 94.809869 134.371056 \nL 94.254186 133.361254 \nL 94.048549 132.618683 \nL 94.042351 131.946289 \nL 94.236634 131.390936 \nL 94.617472 130.990632 \nL 95.156993 130.771568 \nL 95.815812 130.746205 \nL 96.546567 130.912717 \nL 97.544281 131.405419 \nL 98.46009 132.14474 \nL 99.191049 133.039608 \nL 99.660612 133.986353 \nL 99.824226 134.880263 \nL 99.738293 135.457708 \nL 99.480774 135.916471 \nL 99.068586 136.228899 \nL 98.52726 136.375672 \nL 97.889799 136.346951 \nL 96.958406 136.038164 \nL 96.029085 135.450834 \nL 95.208346 134.649337 \nL 94.594152 133.726018 \nL 94.262898 132.791165 \nL 94.227503 132.151468 \nL 94.379326 131.614138 \nL 94.707566 131.215995 \nL 95.188332 130.983261 \nL 95.786679 130.929728 \nL 96.459686 131.056042 \nL 97.391469 131.481894 \nL 98.260656 132.147192 \nL 98.968663 132.969501 \nL 99.440228 133.852883 \nL 99.629419 134.69887 \nL 99.52175 135.415946 \nL 99.254814 135.822326 \nL 98.846741 136.088018 \nL 98.322851 136.196462 \nL 97.500477 136.085014 \nL 96.620017 135.691791 \nL 95.780382 135.058538 \nL 95.079191 134.256405 \nL 94.601153 133.379253 \nL 94.406195 132.532707 \nL 94.462553 131.980557 \nL 94.689496 131.542077 \nL 95.070642 131.246723 \nL 95.578359 131.113237 \nL 96.17613 131.148332 \nL 97.039858 131.446645 \nL 97.883671 131.991699 \nL 98.609864 132.714307 \nL 99.138957 133.528532 \nL 99.417043 134.342021 \nL 99.419219 135.065603 \nL 99.241423 135.501846 \nL 98.922588 135.816932 \nL 98.48292 135.991513 \nL 97.756588 135.987689 \nL 96.944014 135.713875 \nL 96.135794 135.198606 \nL 95.42468 134.49904 \nL 94.895162 133.696025 \nL 94.612362 132.885233 \nL 94.612217 132.165016 \nL 94.799277 131.737693 \nL 95.132912 131.439748 \nL 95.589038 131.290324 \nL 96.330304 131.334599 \nL 97.138338 131.644866 \nL 97.915947 132.178334 \nL 98.573677 132.868207 \nL 99.039878 133.633022 \nL 99.267204 134.386305 \nL 99.235645 135.045465 \nL 98.952705 135.53937 \nL 98.594622 135.768442 \nL 97.965251 135.858311 \nL 97.226639 135.693224 \nL 96.460768 135.289885 \nL 95.754648 134.69251 \nL 95.190992 133.969372 \nL 94.837949 133.20573 \nL 94.739515 132.493504 \nL 94.908372 131.91904 \nL 95.198831 131.620866 \nL 95.607399 131.458691 \nL 96.284509 131.468606 \nL 97.034865 131.729264 \nL 97.768041 132.204387 \nL 98.399205 132.834184 \nL 98.858898 133.543858 \nL 99.099657 134.252689 \nL 99.099348 134.882447 \nL 98.861826 135.364835 \nL 98.415441 135.64763 \nL 97.810047 135.699607 \nL 97.112493 135.514037 \nL 96.400634 135.110315 \nL 95.755724 134.533254 \nL 95.253518 133.849235 \nL 94.954708 133.139102 \nL 94.896367 132.488247 \nL 95.085941 131.97527 \nL 95.377506 131.718551 \nL 95.925914 131.578062 \nL 96.592583 131.678275 \nL 97.295812 132.002411 \nL 98.099906 132.655434 \nL 98.690059 133.466854 \nL 98.941013 134.132643 \nL 98.967941 134.733007 \nL 98.771423 135.202506 \nL 98.375385 135.490175 \nL 97.82441 135.564374 \nL 97.179599 135.416191 \nL 96.513011 135.061174 \nL 95.764558 134.388634 \nL 95.236746 133.576555 \nL 95.041858 132.92675 \nL 95.076979 132.361597 \nL 95.337641 131.948879 \nL 95.790892 131.736743 \nL 96.379846 131.747578 \nL 97.031885 131.975929 \nL 97.816839 132.517565 \nL 98.438208 133.244572 \nL 98.791099 134.025104 \nL 98.841602 134.596257 \nL 98.68201 135.051733 \nL 98.332209 135.341969 \nL 97.831894 135.435095 \nL 97.2368 135.320329 \nL 96.461606 134.905075 \nL 95.780167 134.257731 \nL 95.316824 133.494839 \nL 95.163372 132.895777 \nL 95.225101 132.3848 \nL 95.494131 132.022856 \nL 95.936552 131.851822 \nL 96.497153 131.889232 \nL 97.107244 132.12684 \nL 97.829054 132.655174 \nL 98.386564 133.344748 \nL 98.685973 134.071088 \nL 98.707035 134.5932 \nL 98.533027 135.00027 \nL 98.185164 135.247878 \nL 97.702872 135.308751 \nL 97.140066 135.175748 \nL 96.420095 134.760747 \nL 95.801519 134.139586 \nL 95.397345 133.424525 \nL 95.283181 132.747503 \nL 95.417108 132.318685 \nL 95.734605 132.045967 \nL 96.195887 131.960067 \nL 96.743923 132.068204 \nL 97.44973 132.449458 \nL 98.059041 133.031861 \nL 98.466072 133.707818 \nL 98.604504 134.357585 \nL 98.5077 134.782563 \nL 98.239001 135.07207 \nL 97.829438 135.194346 \nL 97.325044 135.135695 \nL 96.648074 134.819321 \nL 96.031669 134.286604 \nL 95.587432 133.633214 \nL 95.397647 132.979018 \nL 95.454767 132.537151 \nL 95.691196 132.225215 \nL 96.077289 132.079147 \nL 96.565179 132.113951 \nL 97.227233 132.398869 \nL 97.833617 132.896153 \nL 98.277388 133.512609 \nL 98.484358 134.13777 \nL 98.423408 134.662916 \nL 98.190081 134.949642 \nL 97.821005 135.082737 \nL 97.23332 135.012285 \nL 96.602384 134.691935 \nL 96.040241 134.178053 \nL 95.648812 133.563268 \nL 95.500486 132.960413 \nL 95.622757 132.481014 \nL 95.900849 132.246532 \nL 96.302957 132.174288 \nL 96.90387 132.319498 \nL 97.508764 132.694407 \nL 98.008654 133.226802 \nL 98.317375 133.819381 \nL 98.385016 134.367546 \nL 98.20402 134.776693 \nL 97.90198 134.955772 \nL 97.384165 134.962048 \nL 96.796469 134.727437 \nL 96.242858 134.29311 \nL 95.762487 133.619857 \nL 95.601696 133.052428 \nL 95.692575 132.591051 \nL 95.935883 132.356126 \nL 96.299273 132.270348 \nL 96.853548 132.383313 \nL 97.421737 132.715074 \nL 97.978566 133.309721 \nL 98.27094 133.970369 \nL 98.261878 134.450756 \nL 98.026404 134.778233 \nL 97.607675 134.896723 \nL 97.079594 134.785881 \nL 96.535242 134.465109 \nL 95.996611 133.885664 \nL 95.71377 133.238159 \nL 95.72971 132.769916 \nL 95.972698 132.458991 \nL 96.395769 132.360708 \nL 96.91853 132.489443 \nL 97.540755 132.901869 \nL 98.007298 133.487184 \nL 98.204217 134.0941 \nL 98.128725 134.50589 \nL 97.850581 134.755643 \nL 97.419921 134.800547 \nL 96.912757 134.633016 \nL 96.329681 134.1957 \nL 95.915479 133.609405 \nL 95.778287 133.027309 \nL 95.903683 132.65676 \nL 96.222984 132.463221 \nL 96.675141 132.479573 \nL 97.273022 132.764146 \nL 97.783969 133.259545 \nL 98.080218 133.835488 \nL 98.092242 134.345952 \nL 97.884469 134.628694 \nL 97.51768 134.72864 \nL 97.056927 134.628748 \nL 96.495157 134.272512 \nL 96.059393 133.747312 \nL 95.862829 133.189914 \nL 95.920909 132.806973 \nL 96.17017 132.573458 \nL 96.56281 132.530286 \nL 97.118126 132.733748 \nL 97.627089 133.157592 \nL 97.960927 133.689152 \nL 98.03944 134.19252 \nL 97.897045 134.49884 \nL 97.592788 134.644939 \nL 97.181031 134.605813 \nL 96.648312 134.326788 \nL 96.202091 133.864706 \nL 95.957742 133.33953 \nL 95.978751 132.888774 \nL 96.196004 132.656116 \nL 96.552166 132.598576 \nL 97.067513 132.769142 \nL 97.550287 133.151692 \nL 97.910995 133.728232 \nL 97.961439 134.189532 \nL 97.810617 134.461247 \nL 97.513018 134.579468 \nL 97.038287 134.492473 \nL 96.550222 134.179701 \nL 96.129409 133.639413 \nL 96.002832 133.163852 \nL 96.129113 132.808245 \nL 96.403916 132.671235 \nL 96.859717 132.732146 \nL 97.337655 133.016827 \nL 97.760283 133.526157 \nL 97.905472 134.054736 \nL 97.773337 134.385761 \nL 97.506471 134.510411 \nL 97.06934 134.446887 \nL 96.540719 134.106375 \nL 96.166015 133.595382 \nL 96.069013 133.15763 \nL 96.207241 132.841019 \nL 96.476121 132.729847 \nL 96.907723 132.806859 \nL 97.415789 133.149998 \nL 97.761837 133.644263 \nL 97.831574 134.117877 \nL 97.654884 134.384381 \nL 97.307142 134.451002 \nL 96.877257 134.301937 \nL 96.418011 133.909718 \nL 96.155214 133.415805 \nL 96.158316 133.0437 \nL 96.372368 132.821717 \nL 96.739029 132.805541 \nL 97.228333 133.04439 \nL 97.620455 133.472931 \nL 97.783213 133.940353 \nL 97.699253 134.250014 \nL 97.432044 134.393262 \nL 97.05056 134.335071 \nL 96.591367 134.0362 \nL 96.268103 133.59103 \nL 96.193204 133.156082 \nL 96.348053 132.908475 \nL 96.662559 132.844483 \nL 97.117748 133.016964 \nL 97.514624 133.390035 \nL 97.718056 133.831335 \nL 97.662822 134.189225 \nL 97.424792 134.336474 \nL 97.074037 134.296604 \nL 96.642417 134.030912 \nL 96.300862 133.558256 \nL 96.251133 133.159845 \nL 96.411185 132.942597 \nL 96.714295 132.899586 \nL 97.139857 133.077884 \nL 97.53831 133.494364 \nL 97.677534 133.953097 \nL 97.539509 134.228137 \nL 97.263955 134.293194 \nL 96.857837 134.148421 \nL 96.454483 133.761312 \nL 96.287995 133.309231 \nL 96.397998 133.022949 \nL 96.65401 132.940766 \nL 97.045875 133.061662 \nL 97.446506 133.421927 \nL 97.628346 133.857641 \nL 97.545492 134.147425 \nL 97.315726 134.247355 \nL 96.945347 134.156888 \nL 96.54527 133.826783 \nL 96.340965 133.401621 \nL 96.397451 133.104144 \nL 96.607487 132.989371 \nL 96.962445 133.05783 \nL 97.357389 133.362158 \nL 97.573083 133.769588 \nL 97.518174 134.0979 \nL 97.268186 134.205057 \nL 96.919089 134.104973 \nL 96.553615 133.785787 \nL 96.379852 133.389889 \nL 96.448576 133.122581 \nL 96.698565 133.027371 \nL 97.088801 133.164734 \nL 97.448368 133.544739 \nL 97.542052 133.912691 \nL 97.413561 134.12272 \nL 97.134963 134.152804 \nL 96.758135 133.958606 \nL 96.460623 133.561858 \nL 96.439224 133.227867 \nL 96.619918 133.076037 \nL 96.920241 133.110611 \nL 97.309627 133.396908 \nL 97.50249 133.794094 \nL 97.422575 134.059471 \nL 97.185588 134.125279 \nL 96.833971 133.982231 \nL 96.523958 133.628792 \nL 96.469667 133.267882 \nL 96.628066 133.115914 \nL 96.946988 133.153607 \nL 97.304285 133.432211 \nL 97.468766 133.802239 \nL 97.379446 134.039533 \nL 97.15 134.0879 \nL 96.782461 133.909871 \nL 96.511417 133.523628 \nL 96.539886 133.222496 \nL 96.735991 133.136473 \nL 97.05102 133.23809 \nL 97.371182 133.580325 \nL 97.423739 133.904852 \nL 97.255941 134.052981 \nL 96.963848 134.000161 \nL 96.624411 133.69847 \nL 96.52759 133.338549 \nL 96.674914 133.179017 \nL 96.952901 133.213691 \nL 97.289416 133.49264 \nL 97.402393 133.842737 \nL 97.276973 134.010928 \nL 97.017347 133.996575 \nL 96.683748 133.742477 \nL 96.551927 133.399269 \nL 96.682671 133.211684 \nL 96.937799 133.233239 \nL 97.256768 133.484969 \nL 97.374703 133.81368 \nL 97.242859 133.988445 \nL 96.961816 133.947357 \nL 96.667668 133.683612 \nL 96.585774 133.371238 \nL 96.741525 133.22835 \nL 97.023289 133.299859 \nL 97.305234 133.604762 \nL 97.322751 133.884338 \nL 97.159015 133.973449 \nL 96.88289 133.87745 \nL 96.631988 133.569076 \nL 96.647073 133.313009 \nL 96.854025 133.255898 \nL 97.149541 133.420893 \nL 97.321383 133.736148 \nL 97.226989 133.931112 \nL 96.990007 133.915327 \nL 96.705537 133.67106 \nL 96.642813 133.378303 \nL 96.797446 133.274856 \nL 97.073978 133.378464 \nL 97.29136 133.689213 \nL 97.235712 133.894208 \nL 97.028678 133.909327 \nL 96.750208 133.704799 \nL 96.661855 133.402694 \nL 96.798575 133.297867 \nL 97.055338 133.385131 \nL 97.266923 133.672079 \nL 97.209297 133.880476 \nL 96.98531 133.874086 \nL 96.723787 133.635535 \nL 96.703896 133.373706 \nL 96.890828 133.324901 \nL 97.167157 133.513436 \nL 97.243801 133.802975 \nL 97.088103 133.883342 \nL 96.834244 133.754017 \nL 96.695416 133.464954 \nL 96.822529 133.33779 \nL 97.06785 133.431828 \nL 97.23637 133.707726 \nL 97.145647 133.858913 \nL 96.914951 133.801695 \nL 96.72033 133.543268 \nL 96.790445 133.365169 \nL 97.010277 133.407429 \nL 97.214034 133.672125 \nL 97.141009 133.839572 \nL 96.928022 133.794515 \nL 96.734897 133.5369 \nL 96.810669 133.378617 \nL 97.018284 133.42756 \nL 97.199572 133.677704 \nL 97.121618 133.826277 \nL 96.901932 133.761803 \nL 96.747072 133.497636 \nL 96.86063 133.387874 \nL 97.092619 133.504716 \nL 97.176416 133.757014 \nL 97.039689 133.813189 \nL 96.810267 133.649405 \nL 96.797487 133.426188 \nL 96.978734 133.431376 \nL 97.166697 133.653374 \nL 97.100953 133.797902 \nL 97.087451 133.800676 \nL 96.878671 133.714439 \nL 96.784515 133.471736 \nL 96.921888 133.421782 \nL 97.132536 133.595605 \nL 97.109007 133.778852 \nL 96.920555 133.736562 \nL 96.789805 133.509919 \nL 96.903847 133.430173 \nL 97.109269 133.5747 \nL 97.104241 133.764876 \nL 96.930437 133.732324 \nL 96.802835 133.509996 \nL 96.929325 133.445973 \nL 97.118603 133.61188 \nL 97.090262 133.75673 \nL 97.069672 133.763228 \nL 96.888623 133.686807 \nL 96.833621 133.475398 \nL 96.978862 133.474831 \nL 97.123312 133.679313 \nL 97.034946 133.754148 \nL 97.010748 133.750431 \nL 96.833627 133.590463 \nL 96.870384 133.466916 \nL 96.900844 133.462241 \nL 97.080246 133.576049 \nL 97.08198 133.733198 \nL 97.056013 133.742899 \nL 96.879474 133.654217 \nL 96.858262 133.486264 \nL 96.88186 133.474854 \nL 97.052731 133.551605 \nL 97.077651 133.7225 \nL 97.062805 133.73027 \nL 96.898336 133.665543 \nL 96.86304 133.496624 \nL 96.884095 133.484793 \nL 97.043286 133.550862 \nL 97.073222 133.7125 \nL 97.052405 133.723259 \nL 96.890747 133.647137 \nL 96.873387 133.501475 \nL 96.910668 133.489421 \nL 97.068927 133.597375 \nL 97.057043 133.711351 \nL 97.008775 133.716776 \nL 96.861259 133.574241 \nL 96.90323 133.498532 \nL 96.954926 133.504034 \nL 97.077994 133.663068 \nL 97.010149 133.709864 \nL 96.965721 133.695267 \nL 96.873818 133.529107 \nL 96.877373 133.523705 \nL 97.00366 133.537329 \nL 97.059901 133.686363 \nL 97.032915 133.702102 \nL 96.891387 133.618325 \nL 96.894861 133.519069 \nL 96.957626 133.517521 \nL 97.061041 133.668424 \nL 97.058597 133.673888 \nL 96.957911 133.678899 \nL 96.935349 133.662784 \nL 96.889827 133.534026 \nL 96.933219 133.517942 \nL 97.058056 133.643466 \nL 97.011924 133.690838 \nL 96.947762 133.666738 \nL 96.893872 133.540785 \nL 96.939289 133.524203 \nL 97.051759 133.650049 \nL 96.992946 133.683175 \nL 96.939434 133.654922 \nL 96.9006 133.543053 \nL 96.983949 133.545842 \nL 97.040527 133.663589 \nL 96.975458 133.672777 \nL 96.901711 133.552877 \nL 96.93816 133.534387 \nL 97.041173 133.644677 \nL 97.038805 133.653872 \nL 96.971931 133.666861 \nL 96.927987 133.633099 \nL 96.912833 133.547911 \nL 97.025879 133.662401 \nL 96.97118 133.613972 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p6eb33cb61c\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -681,7 +681,7 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.556634pt\" version=\"1.1\" viewBox=\"0 0 293.686304 285.556634\" width=\"293.686304pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:36:15.441717</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.556634 \nL 293.686304 285.556634 \nL 293.686304 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.578047 212.03611 \nL 127.75488 137.692794 \nL 127.066072 31.12639 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 64.26459 219.772135 \nL 150.165169 144.20658 \nL 150.437516 37.05037 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 88.359183 227.641429 \nL 172.929338 150.823225 \nL 174.194068 43.071963 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 112.87246 235.647465 \nL 196.055833 157.545184 \nL 198.345326 49.193603 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 137.815431 243.79384 \nL 219.553377 164.374992 \nL 222.90121 55.417804 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 163.199493 252.084274 \nL 243.430969 171.315266 \nL 247.871974 61.747165 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.337272 211.388652 \nL 39.056334 213.333808 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.50086 235.374498)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 65.01322 219.113576 \nL 62.764085 221.092109 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(49.393091 243.274494)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 89.096738 226.97148 \nL 86.880847 228.984256 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(77.703931 251.311099)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 113.598442 234.965828 \nL 111.417294 237.013745 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(102.245674 259.487888)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 138.529319 243.100206 \nL 136.384479 245.184192 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(124.038016 267.808559)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 163.900744 251.378325 \nL 161.793844 253.499341 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(149.454959 276.276946)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_8\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 32.782819 87.034514 \nL 37.676501 198.993897 \nL 186.194576 246.851596 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 47.410588 76.359834 \nL 51.604213 187.319412 \nL 198.813893 233.901073 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.643816 65.973073 \nL 65.172389 175.946298 \nL 211.090462 221.302293 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 75.498252 55.862736 \nL 78.394775 164.863032 \nL 223.03806 209.041119 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 88.98882 46.017935 \nL 91.284421 154.058675 \nL 234.669735 197.104158 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.129667 36.428343 \nL 103.853734 143.522828 \nL 245.997855 185.47872 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 184.94328 246.448385 \nL 188.700391 247.659057 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(188.470258 267.813661)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 197.574482 233.508885 \nL 201.295863 234.686445 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −5 -->\n     <g transform=\"translate(204.101535 254.671435)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 209.862756 220.920683 \nL 213.548949 222.06647 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(220.403059 241.886366)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.821881 208.669664 \nL 225.473423 209.784946 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 5 -->\n     <g transform=\"translate(232.190002 229.444089)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 233.464907 196.742458 \nL 237.08233 197.828439 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 10 -->\n     <g transform=\"translate(240.483844 217.331002)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_14\">\n     <path d=\"M 244.804203 185.126396 \nL 248.388033 186.184216 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 15 -->\n     <g transform=\"translate(251.6593 205.53421)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_15\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.057306 156.004408 \nL 114.960381 115.618273 \nL 26.355376 188.2209 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.842543 138.85684 \nL 114.769563 99.024251 \nL 25.509253 170.650597 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.63875 121.469726 \nL 114.576208 82.209577 \nL 24.650855 152.825403 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.446157 103.83801 \nL 114.380264 65.169823 \nL 23.779913 134.739729 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.265004 85.956495 \nL 114.18168 47.900437 \nL 22.89615 116.387825 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 261.095534 67.819834 \nL 113.980402 30.396747 \nL 21.999282 97.763768 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 255.864289 155.665334 \nL 259.4462 156.683368 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 5 -->\n     <g transform=\"translate(272.263115 161.035175)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 256.640939 138.522304 \nL 260.248652 139.526719 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 10 -->\n     <g transform=\"translate(269.991865 143.922019)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 257.428434 121.139889 \nL 261.062324 122.130202 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 15 -->\n     <g transform=\"translate(270.914539 126.570529)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 258.227002 103.513037 \nL 261.887451 104.488752 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 20 -->\n     <g transform=\"translate(271.850152 108.975693)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_18\">\n    <g id=\"line2d_21\">\n     <path d=\"M 259.03688 85.636558 \nL 262.724278 86.597159 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- 25 -->\n     <g transform=\"translate(272.79898 91.132353)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_19\">\n    <g id=\"line2d_22\">\n     <path d=\"M 259.858309 67.505109 \nL 263.573056 68.450065 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_19\">\n     <!-- 30 -->\n     <g transform=\"translate(273.761304 73.035209)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_23\">\n    <path clip-path=\"url(#p9c733fd5d2)\" d=\"M 129.591127 193.835773 \nL 128.98118 192.681085 \nL 128.941783 192.297243 \nL 129.21091 191.739347 \nL 129.819045 191.323698 \nL 131.23042 190.7617 \nL 146.049714 185.800389 \nL 152.764853 183.168216 \nL 158.310835 180.790434 \nL 164.85315 177.74246 \nL 172.498151 173.835823 \nL 176.757039 171.491503 \nL 181.310329 168.845922 \nL 186.15209 165.867427 \nL 191.266767 162.524854 \nL 196.626311 158.789437 \nL 202.186849 154.637442 \nL 207.88498 150.053727 \nL 213.633845 145.036245 \nL 219.319371 139.601526 \nL 224.797173 133.790927 \nL 229.890926 127.67712 \nL 234.393337 121.369909 \nL 238.070993 115.019988 \nL 240.674433 108.818676 \nL 241.954649 102.991493 \nL 241.686191 97.783653 \nL 239.695637 93.436838 \nL 235.891885 90.158779 \nL 230.292446 88.090517 \nL 223.03846 87.278952 \nL 214.392084 87.663363 \nL 204.713517 89.081932 \nL 194.42087 91.298548 \nL 183.941632 94.0431 \nL 173.666896 97.053956 \nL 163.917761 100.111559 \nL 146.844716 105.794291 \nL 133.603474 110.52292 \nL 128.411726 112.53954 \nL 124.0901 114.371266 \nL 120.552459 116.060004 \nL 117.705329 117.645181 \nL 115.454631 119.160561 \nL 113.71015 120.632966 \nL 112.388264 122.082278 \nL 111.41343 123.522144 \nL 110.71879 124.960987 \nL 110.246181 126.403093 \nL 109.945757 127.849686 \nL 109.699851 130.75108 \nL 109.778127 135.078344 \nL 109.970754 140.659466 \nL 109.869751 144.614952 \nL 109.624938 147.121 \nL 109.219727 149.516705 \nL 108.64321 151.800616 \nL 107.885129 153.972843 \nL 106.933904 156.033987 \nL 105.775494 157.984214 \nL 104.392773 159.8224 \nL 102.765289 161.545258 \nL 100.86931 163.146378 \nL 98.678183 164.615093 \nL 96.163092 165.935078 \nL 93.294362 167.082629 \nL 90.043604 168.024612 \nL 86.386982 168.716084 \nL 82.310107 169.097756 \nL 77.814991 169.093689 \nL 75.417997 168.918354 \nL 72.929579 168.609967 \nL 70.359288 168.154125 \nL 67.719969 167.53563 \nL 65.028236 166.738787 \nL 62.304957 165.747827 \nL 59.575688 164.5475 \nL 56.871008 163.123827 \nL 54.226718 161.465024 \nL 51.68381 159.562636 \nL 49.288139 157.412804 \nL 47.089729 155.017647 \nL 45.141635 152.386651 \nL 43.498296 149.537963 \nL 42.213406 146.4994 \nL 41.33735 143.309001 \nL 40.914277 140.014941 \nL 40.9791 136.674632 \nL 41.554608 133.3529 \nL 42.649079 130.119317 \nL 44.254633 127.044735 \nL 46.346677 124.197368 \nL 48.884503 121.638824 \nL 51.813137 119.420463 \nL 55.066221 117.580569 \nL 58.569667 116.142608 \nL 62.245701 115.114797 \nL 66.016855 114.490873 \nL 69.809577 114.251923 \nL 73.557147 114.368938 \nL 77.201756 114.805728 \nL 80.695728 115.521859 \nL 84.001915 116.475322 \nL 87.093428 117.624722 \nL 89.952848 118.930992 \nL 92.571111 120.358498 \nL 94.9462 121.875695 \nL 97.081784 123.455389 \nL 98.985909 125.074668 \nL 100.669781 126.714655 \nL 102.146715 128.360117 \nL 103.43123 129.999024 \nL 104.538328 131.622077 \nL 105.482923 133.222273 \nL 106.941352 136.335115 \nL 107.910651 139.312934 \nL 108.477136 142.146436 \nL 108.708092 144.835139 \nL 108.652948 147.3831 \nL 108.345489 149.796229 \nL 107.806351 152.080669 \nL 107.045309 154.241804 \nL 106.063219 156.283608 \nL 104.853562 158.20813 \nL 103.403659 160.014967 \nL 101.695652 161.700631 \nL 99.707413 163.257724 \nL 97.413526 164.673859 \nL 94.78655 165.930271 \nL 91.798822 167.000084 \nL 88.42512 167.846233 \nL 84.646546 168.419144 \nL 80.456154 168.6544 \nL 78.209482 168.620749 \nL 75.866708 168.470927 \nL 73.434197 168.192124 \nL 70.920974 167.770584 \nL 68.339171 167.191779 \nL 65.704491 166.440686 \nL 63.036661 165.502184 \nL 60.359848 164.361589 \nL 57.70299 163.005352 \nL 55.099996 161.421924 \nL 52.589744 159.602796 \nL 50.215816 157.543688 \nL 48.02588 155.245839 \nL 46.070665 152.717329 \nL 44.402489 149.974307 \nL 43.073309 147.042005 \nL 42.132331 143.955335 \nL 41.623334 140.758903 \nL 41.581787 137.506326 \nL 42.032108 134.258655 \nL 42.985276 131.082017 \nL 44.437115 128.044471 \nL 46.367536 125.212388 \nL 48.740864 122.646685 \nL 51.507309 120.399286 \nL 54.605478 118.51024 \nL 57.965705 117.005833 \nL 61.513777 115.897836 \nL 65.174788 115.183961 \nL 68.876645 114.849333 \nL 72.553058 114.86874 \nL 76.14572 115.209307 \nL 79.605716 115.83328 \nL 82.894118 116.700647 \nL 85.98191 117.771349 \nL 88.849396 119.007033 \nL 91.485216 120.372289 \nL 93.885166 121.835424 \nL 96.05091 123.368794 \nL 97.98872 124.948875 \nL 99.708284 126.556078 \nL 101.221654 128.174415 \nL 102.542335 129.791112 \nL 103.684535 131.396164 \nL 104.662573 132.98192 \nL 106.18136 136.074312 \nL 107.20098 139.039802 \nL 107.807372 141.866253 \nL 108.068297 144.551129 \nL 108.034063 147.097034 \nL 107.739474 149.508837 \nL 107.20616 151.79191 \nL 106.444808 153.95101 \nL 105.457083 155.989561 \nL 104.237201 157.909071 \nL 102.773188 159.708562 \nL 101.047922 161.383896 \nL 99.040123 162.926928 \nL 96.725428 164.324411 \nL 94.077771 165.55659 \nL 91.071327 166.595503 \nL 87.683338 167.40295 \nL 83.898172 167.928287 \nL 79.713122 168.106322 \nL 77.47522 168.040359 \nL 75.146289 167.855829 \nL 72.733533 167.540097 \nL 70.246861 167.079692 \nL 67.699332 166.46052 \nL 65.10757 165.668169 \nL 62.492202 164.688331 \nL 59.8782 163.50737 \nL 57.295167 162.113041 \nL 54.777436 160.495364 \nL 52.364004 158.647652 \nL 50.09814 156.567678 \nL 48.026693 154.258889 \nL 46.198966 151.73164 \nL 44.665172 149.004279 \nL 43.474472 146.103979 \nL 42.672617 143.067138 \nL 42.29935 139.939192 \nL 42.385731 136.773707 \nL 42.951618 133.630699 \nL 44.003591 130.574163 \nL 45.533576 127.669019 \nL 47.518395 124.977617 \nL 49.92036 122.556251 \nL 52.68893 120.451972 \nL 55.763259 118.700108 \nL 59.07543 117.322718 \nL 62.554031 116.328177 \nL 66.127705 115.711792 \nL 69.728377 115.457372 \nL 73.293901 115.5394 \nL 76.76999 115.925604 \nL 80.11139 116.57953 \nL 83.282324 117.462916 \nL 86.256349 118.537721 \nL 89.015728 119.767691 \nL 91.550483 121.119452 \nL 93.85725 122.563157 \nL 95.938086 124.07281 \nL 97.799283 125.626274 \nL 99.45026 127.205084 \nL 100.902587 128.79416 \nL 102.16914 130.38141 \nL 103.263419 131.957344 \nL 104.198983 133.514665 \nL 105.646142 136.553071 \nL 106.607149 139.469028 \nL 107.162941 142.250333 \nL 107.377185 144.893907 \nL 107.296958 147.401571 \nL 106.954578 149.777307 \nL 106.369768 152.025543 \nL 105.551763 154.150054 \nL 104.501123 156.153202 \nL 103.211247 158.035292 \nL 101.669624 159.793961 \nL 99.85891 161.423416 \nL 97.758018 162.913511 \nL 95.343353 164.248564 \nL 92.590437 165.405898 \nL 89.476198 166.354068 \nL 85.982226 167.050894 \nL 82.099422 167.441399 \nL 77.834392 167.456066 \nL 75.566956 167.296552 \nL 73.217985 167.010132 \nL 70.796879 166.584047 \nL 68.315988 166.004958 \nL 65.791029 165.259203 \nL 63.241464 164.333215 \nL 60.69084 163.214032 \nL 58.16705 161.889946 \nL 55.702463 160.351325 \nL 53.333837 158.591551 \nL 51.102025 156.60809 \nL 49.051321 154.403621 \nL 47.228493 151.987185 \nL 45.681368 149.375213 \nL 44.45706 146.592345 \nL 43.599821 143.671841 \nL 43.148646 140.655529 \nL 43.134786 137.593054 \nL 43.57934 134.540452 \nL 44.491243 131.557979 \nL 45.865839 128.707375 \nL 47.684268 126.04868 \nL 49.91379 123.63696 \nL 52.509106 121.519281 \nL 55.414564 119.732193 \nL 58.567027 118.300111 \nL 61.899134 117.234605 \nL 65.342656 116.534741 \nL 68.831608 116.18829 \nL 72.304893 116.17363 \nL 75.708305 116.462005 \nL 78.995854 117.019963 \nL 82.130392 117.811614 \nL 85.083656 118.800656 \nL 87.835817 119.951957 \nL 90.374695 121.232723 \nL 92.694749 122.613275 \nL 94.795973 124.067448 \nL 96.682772 125.572688 \nL 98.362899 127.109978 \nL 99.846491 128.663591 \nL 101.145233 130.220763 \nL 102.271649 131.771327 \nL 103.238536 133.307345 \nL 104.743708 136.313051 \nL 105.754336 139.206201 \nL 106.350147 141.971429 \nL 106.594695 144.60328 \nL 106.53556 147.101802 \nL 106.205854 149.469656 \nL 105.626204 151.710245 \nL 104.80675 153.826494 \nL 103.748938 155.81999 \nL 102.447045 157.690298 \nL 100.88947 159.434261 \nL 99.059898 161.04523 \nL 96.938472 162.512103 \nL 94.503153 163.818124 \nL 91.731491 164.939451 \nL 88.603071 165.843442 \nL 85.102959 166.486776 \nL 81.226524 166.813621 \nL 76.98598 166.754232 \nL 74.739643 166.554005 \nL 72.418904 166.224735 \nL 70.03414 165.754075 \nL 67.598695 165.129259 \nL 65.129263 164.33741 \nL 62.646213 163.365977 \nL 60.173879 162.203255 \nL 57.740741 160.839081 \nL 55.379464 159.265635 \nL 53.126724 157.478365 \nL 51.022789 155.477012 \nL 49.110804 153.266659 \nL 47.435702 150.858758 \nL 46.042766 148.27201 \nL 44.975823 145.532977 \nL 44.275178 142.676304 \nL 43.975316 139.744431 \nL 44.102629 136.786655 \nL 44.673294 133.85759 \nL 45.691574 131.014951 \nL 47.148738 128.316849 \nL 49.022764 125.818841 \nL 51.278948 123.570937 \nL 53.871367 121.61492 \nL 56.74512 119.982284 \nL 59.839107 118.692919 \nL 63.089098 117.754774 \nL 66.430794 117.164361 \nL 69.80261 116.908043 \nL 73.147996 116.963869 \nL 76.417157 117.303729 \nL 79.568135 117.895538 \nL 82.567274 118.705304 \nL 85.389176 119.698916 \nL 88.016221 120.843527 \nL 90.437796 122.108587 \nL 92.649348 123.466483 \nL 94.65135 124.89288 \nL 96.448276 126.366802 \nL 98.047615 127.870525 \nL 99.458999 129.389371 \nL 100.693438 130.911379 \nL 101.762673 132.426992 \nL 103.453193 135.41076 \nL 104.622286 138.299688 \nL 105.350995 141.071697 \nL 105.705875 143.716718 \nL 105.738181 146.23172 \nL 105.484775 148.617342 \nL 104.969799 150.875695 \nL 104.20655 153.008871 \nL 103.19927 155.017936 \nL 101.944731 156.902131 \nL 100.433605 158.658131 \nL 98.651712 160.279252 \nL 96.581275 161.75451 \nL 94.20233 163.067492 \nL 91.494524 164.19497 \nL 88.439545 165.105323 \nL 85.02448 165.756815 \nL 81.246449 166.095923 \nL 77.118823 166.056156 \nL 74.934475 165.869813 \nL 72.67926 165.557988 \nL 70.363281 165.109056 \nL 67.999446 164.51103 \nL 65.603799 163.751873 \nL 63.195841 162.819872 \nL 60.798779 161.704167 \nL 58.439679 160.395359 \nL 56.149503 158.886274 \nL 53.962937 157.172798 \nL 51.917999 155.254829 \nL 50.055369 153.137221 \nL 48.417407 150.830738 \nL 47.04681 148.352838 \nL 45.985001 145.728258 \nL 45.270196 142.989216 \nL 44.935334 140.175174 \nL 45.005976 137.332024 \nL 45.498352 134.51071 \nL 46.417744 131.76525 \nL 47.757436 129.150319 \nL 49.49836 126.718576 \nL 51.60954 124.517895 \nL 54.049325 122.588888 \nL 56.767331 120.962906 \nL 59.706939 119.660742 \nL 62.808062 118.692132 \nL 66.009972 118.056084 \nL 69.253929 117.741898 \nL 72.485413 117.730771 \nL 75.655824 117.99769 \nL 78.723637 118.513434 \nL 81.654962 119.246504 \nL 84.42363 120.164839 \nL 87.010846 121.237167 \nL 89.404565 122.434066 \nL 91.598655 123.728649 \nL 93.591966 125.096956 \nL 95.387382 126.518123 \nL 96.990898 127.97433 \nL 98.410777 129.450647 \nL 99.656811 130.934766 \nL 100.739692 132.416731 \nL 102.460222 135.344223 \nL 103.658676 138.188761 \nL 104.412673 140.925252 \nL 104.786824 143.541077 \nL 104.831484 146.03113 \nL 104.583285 148.394389 \nL 104.06656 150.631575 \nL 103.295041 152.743601 \nL 102.273581 154.730452 \nL 100.999694 156.590323 \nL 99.464963 158.318807 \nL 97.656346 159.908062 \nL 95.557523 161.34585 \nL 93.15045 162.614369 \nL 90.417314 163.688925 \nL 87.343158 164.536411 \nL 83.919455 165.113738 \nL 80.148932 165.366441 \nL 76.051916 165.227923 \nL 73.894073 164.987926 \nL 71.674323 164.620038 \nL 69.403944 164.113177 \nL 67.097017 163.456115 \nL 64.770735 162.637808 \nL 62.445645 161.647818 \nL 60.145822 160.476862 \nL 57.898953 159.117422 \nL 55.736249 157.564512 \nL 53.692178 155.816488 \nL 51.803951 153.875913 \nL 50.110758 151.750439 \nL 48.652689 149.45358 \nL 47.469353 147.00534 \nL 46.598269 144.432572 \nL 46.073006 141.76894 \nL 45.921284 139.05447 \nL 46.163089 136.334527 \nL 46.809038 133.658322 \nL 47.859113 131.0769 \nL 49.302001 128.640835 \nL 51.115059 126.397705 \nL 53.265045 124.389714 \nL 55.70951 122.651587 \nL 58.398795 121.208989 \nL 61.278414 120.07763 \nL 64.291621 119.263089 \nL 67.381937 118.761352 \nL 70.495432 118.559926 \nL 73.582612 118.639395 \nL 76.599822 118.975174 \nL 79.510118 119.539329 \nL 82.283657 120.302254 \nL 84.897664 121.234159 \nL 87.336043 122.306225 \nL 89.588744 123.491466 \nL 91.650991 124.765313 \nL 93.522409 126.105908 \nL 95.206175 127.494221 \nL 96.708182 128.913992 \nL 98.036294 130.351563 \nL 99.199676 131.795666 \nL 100.208243 133.237135 \nL 101.801676 136.084414 \nL 102.895741 138.851985 \nL 103.561233 141.515874 \nL 103.856818 144.063458 \nL 103.827965 146.488978 \nL 103.507452 148.790372 \nL 102.916672 150.967105 \nL 102.067202 153.01867 \nL 100.962398 154.943472 \nL 99.598883 156.737924 \nL 97.967941 158.39559 \nL 96.056898 159.906281 \nL 93.850613 161.255029 \nL 91.333257 162.420881 \nL 88.490604 163.375582 \nL 85.313073 164.082132 \nL 81.799796 164.493478 \nL 77.963965 164.551579 \nL 73.839641 164.187467 \nL 71.687629 163.822948 \nL 69.489898 163.323125 \nL 67.260338 162.677615 \nL 65.015751 161.876304 \nL 62.77607 160.909746 \nL 60.564502 159.769664 \nL 58.407568 158.449554 \nL 56.334987 156.945367 \nL 54.37942 155.256252 \nL 52.575942 153.385349 \nL 50.961321 151.340564 \nL 49.572994 149.135252 \nL 48.447804 146.788763 \nL 47.620505 144.326702 \nL 47.122085 141.780901 \nL 46.978029 139.188935 \nL 47.206644 136.593208 \nL 47.817576 134.039536 \nL 48.8107 131.575377 \nL 50.175525 129.247717 \nL 51.891166 127.100838 \nL 53.926984 125.17415 \nL 56.243834 123.500298 \nL 58.795853 122.103728 \nL 61.532568 120.999827 \nL 64.401235 120.194737 \nL 67.349118 119.685764 \nL 70.325574 119.462337 \nL 73.283823 119.507352 \nL 76.182259 119.798739 \nL 78.98533 120.311075 \nL 81.663953 121.017149 \nL 84.195548 121.889292 \nL 86.563741 122.900506 \nL 88.757844 124.025294 \nL 90.772173 125.240215 \nL 92.605272 126.524256 \nL 94.259145 127.858943 \nL 95.738483 129.228352 \nL 97.049971 130.618976 \nL 98.201658 132.019537 \nL 99.202433 133.42077 \nL 100.788379 136.196751 \nL 101.880832 138.903616 \nL 102.546116 141.515266 \nL 102.839848 144.017014 \nL 102.805565 146.401208 \nL 102.47496 148.664105 \nL 101.868947 150.803666 \nL 100.999086 152.817995 \nL 99.869076 154.704159 \nL 98.476219 156.457239 \nL 96.812835 158.069405 \nL 94.867715 159.528994 \nL 92.627725 160.819453 \nL 90.079753 161.918188 \nL 87.213181 162.795284 \nL 84.023141 163.412264 \nL 80.514769 163.72102 \nL 76.708697 163.66334 \nL 74.70634 163.476266 \nL 72.647783 163.171604 \nL 70.543142 162.739876 \nL 68.404911 162.171516 \nL 66.248221 161.457144 \nL 64.091018 160.587926 \nL 61.954229 159.555999 \nL 59.861807 158.354984 \nL 57.840672 156.980592 \nL 55.920492 155.43127 \nL 54.133313 153.708916 \nL 52.51292 151.819561 \nL 51.094026 149.774012 \nL 49.911187 147.588403 \nL 48.99753 145.284497 \nL 48.383283 142.889768 \nL 48.094241 140.437102 \nL 48.150216 137.964135 \nL 48.563619 135.512153 \nL 49.338332 133.124641 \nL 50.46894 130.845488 \nL 51.940489 128.717041 \nL 53.728788 126.778117 \nL 55.801278 125.062177 \nL 58.118391 123.595829 \nL 60.635341 122.397796 \nL 63.304126 121.47844 \nL 66.075601 120.839825 \nL 68.901487 120.476344 \nL 71.736127 120.3757 \nL 74.537895 120.520222 \nL 77.270239 120.888289 \nL 79.902294 121.455754 \nL 82.409137 122.197276 \nL 84.771696 123.087444 \nL 86.976417 124.101692 \nL 89.014743 125.216974 \nL 90.882468 126.412205 \nL 92.579039 127.668519 \nL 94.106863 128.96936 \nL 95.470625 130.300435 \nL 96.676684 131.649623 \nL 97.73253 133.006768 \nL 99.426484 135.71297 \nL 100.619376 138.369378 \nL 101.374446 140.944571 \nL 101.746368 143.419617 \nL 101.779109 145.783629 \nL 101.505601 148.030416 \nL 100.948436 150.156096 \nL 100.121062 152.157374 \nL 99.029166 154.030243 \nL 97.672103 155.768932 \nL 96.044327 157.364956 \nL 94.136883 158.806166 \nL 91.939074 160.075722 \nL 89.440445 161.151004 \nL 86.633276 162.002452 \nL 83.515822 162.592471 \nL 80.096466 162.874576 \nL 76.398955 162.793207 \nL 72.468741 162.284685 \nL 70.438257 161.8488 \nL 68.380102 161.280188 \nL 66.309244 160.570414 \nL 64.243267 159.711661 \nL 62.202487 158.697162 \nL 60.209964 157.521661 \nL 58.291417 156.181979 \nL 56.474983 154.677607 \nL 54.790801 153.011327 \nL 53.270438 151.189828 \nL 51.946071 149.224254 \nL 50.849499 147.130635 \nL 50.01095 144.930136 \nL 49.457755 142.649044 \nL 49.212977 140.318455 \nL 49.29403 137.973621 \nL 49.711464 135.652919 \nL 50.467969 133.396522 \nL 51.557761 131.244786 \nL 52.966408 129.236501 \nL 54.671132 127.40715 \nL 56.641611 125.787318 \nL 58.841224 124.40135 \nL 61.228626 123.266479 \nL 63.759553 122.392396 \nL 66.388664 121.781306 \nL 69.071328 121.428453 \nL 71.765199 121.323004 \nL 74.431498 121.449168 \nL 77.035968 121.787461 \nL 79.549454 122.315976 \nL 81.948165 123.011551 \nL 84.213637 123.850822 \nL 86.33246 124.811036 \nL 88.295828 125.870692 \nL 90.098994 127.009983 \nL 91.740646 128.211042 \nL 93.222282 129.458056 \nL 94.547606 130.737267 \nL 95.721964 132.036894 \nL 97.644451 134.659179 \nL 99.048096 137.263886 \nL 99.992673 139.81032 \nL 100.532808 142.272456 \nL 100.714507 144.634179 \nL 100.57385 146.885593 \nL 100.137043 149.020284 \nL 99.421237 151.033284 \nL 98.435709 152.919589 \nL 97.183204 154.672959 \nL 95.661343 156.284891 \nL 93.864114 157.743659 \nL 91.783506 159.033337 \nL 89.411445 160.132767 \nL 86.742153 161.014515 \nL 83.775161 161.643892 \nL 80.519107 161.978216 \nL 76.99649 161.966655 \nL 73.249347 161.551118 \nL 71.311623 161.172309 \nL 69.345633 160.668852 \nL 67.364969 160.033024 \nL 65.385589 159.257635 \nL 63.425904 158.33639 \nL 61.506818 157.264303 \nL 59.651649 156.038178 \nL 57.885958 154.657133 \nL 56.237196 153.123152 \nL 54.734235 151.441613 \nL 53.406679 149.621806 \nL 52.284024 147.677334 \nL 51.394645 145.626377 \nL 50.76465 143.491746 \nL 50.416652 141.300691 \nL 50.368563 139.084413 \nL 50.632439 136.877258 \nL 51.213528 134.71564 \nL 52.109583 132.636674 \nL 53.310567 130.676712 \nL 54.798733 128.869751 \nL 56.549157 127.245968 \nL 58.53069 125.830449 \nL 60.707218 124.642206 \nL 63.039182 123.693607 \nL 65.485206 122.990233 \nL 68.003729 122.53113 \nL 70.554498 122.309416 \nL 73.099863 122.313165 \nL 75.605788 122.526487 \nL 78.042552 122.930603 \nL 80.385157 123.504973 \nL 82.613447 124.228274 \nL 84.711997 125.079256 \nL 86.66981 126.037399 \nL 88.47989 127.083433 \nL 90.138722 128.199664 \nL 91.645726 129.370166 \nL 93.002697 130.580846 \nL 94.213284 131.819437 \nL 96.216295 134.339777 \nL 97.70394 136.86513 \nL 98.730023 139.349859 \nL 99.345779 141.763575 \nL 99.595745 144.08653 \nL 99.515861 146.305913 \nL 99.133068 148.413022 \nL 98.465803 150.40111 \nL 97.524976 152.263785 \nL 96.315202 153.993728 \nL 94.836159 155.581625 \nL 93.084075 157.015175 \nL 91.053378 158.278136 \nL 88.738642 159.349352 \nL 86.136957 160.201801 \nL 83.250869 160.801765 \nL 80.092063 161.108303 \nL 76.685864 161.07329 \nL 73.076507 160.642559 \nL 71.216051 160.260854 \nL 69.332881 159.75867 \nL 67.440375 159.129163 \nL 65.554078 158.366095 \nL 63.691767 157.464165 \nL 61.873446 156.419409 \nL 60.121256 155.229623 \nL 58.459268 153.89484 \nL 56.913154 152.417806 \nL 55.509684 150.804456 \nL 54.276112 149.064335 \nL 53.239381 147.210914 \nL 52.425196 145.261803 \nL 51.857001 143.238733 \nL 51.554883 141.167341 \nL 51.534509 139.076685 \nL 51.806143 136.998509 \nL 52.373821 134.966244 \nL 53.234802 133.013803 \nL 54.379319 131.174266 \nL 55.790703 129.478505 \nL 57.445878 127.953922 \nL 59.31619 126.6233 \nL 61.368553 125.504001 \nL 63.566778 124.60746 \nL 65.873 123.939028 \nL 68.249123 123.498203 \nL 70.658151 123.279149 \nL 73.065327 123.27146 \nL 75.439054 123.461062 \nL 77.751546 123.831184 \nL 79.979213 124.363329 \nL 82.102804 125.038154 \nL 84.107338 125.836222 \nL 85.981862 126.738644 \nL 87.719091 127.727537 \nL 89.314976 128.786347 \nL 90.768208 129.900042 \nL 92.07974 131.055214 \nL 94.289994 133.444436 \nL 95.981455 135.877881 \nL 97.199992 138.300641 \nL 97.99319 140.674541 \nL 98.404945 142.973674 \nL 98.472494 145.180583 \nL 98.225199 147.283188 \nL 97.68449 149.272395 \nL 96.864486 151.140288 \nL 95.773012 152.878692 \nL 94.412842 154.477999 \nL 92.783111 155.926167 \nL 90.8809 157.207741 \nL 88.703088 158.302938 \nL 86.248571 159.186782 \nL 83.520978 159.828356 \nL 80.532023 160.190323 \nL 77.305531 160.229002 \nL 73.882135 159.895339 \nL 70.324406 159.137337 \nL 68.52194 158.583196 \nL 66.721747 157.904499 \nL 64.939816 157.096321 \nL 63.194139 156.154874 \nL 61.504641 155.077877 \nL 59.893029 153.864957 \nL 58.382515 152.518078 \nL 56.997427 151.041948 \nL 55.762677 149.444411 \nL 54.70312 147.736748 \nL 53.842744 145.933884 \nL 53.20382 144.054444 \nL 52.805948 142.120619 \nL 52.6651 140.157844 \nL 52.792719 138.194197 \nL 53.194944 136.259641 \nL 53.872021 134.385032 \nL 54.81795 132.601003 \nL 56.020468 130.936769 \nL 57.461308 129.418973 \nL 59.116806 128.070625 \nL 60.958767 126.910258 \nL 62.955549 125.951312 \nL 65.073293 125.201869 \nL 67.277187 124.66463 \nL 69.532698 124.337255 \nL 71.806673 124.212888 \nL 74.068289 124.280871 \nL 76.289766 124.527563 \nL 78.446857 124.937196 \nL 80.519128 125.4927 \nL 82.490014 126.176425 \nL 84.346711 126.97079 \nL 86.079949 127.858783 \nL 87.683642 128.824354 \nL 89.154498 129.852646 \nL 90.491588 130.930177 \nL 92.770046 133.186183 \nL 94.543181 135.512737 \nL 95.848431 137.850526 \nL 96.727815 140.15694 \nL 97.222027 142.402076 \nL 97.366902 144.565089 \nL 97.191692 146.63115 \nL 96.718593 148.589016 \nL 95.963068 150.429101 \nL 94.934674 152.142003 \nL 93.638171 153.717261 \nL 92.074868 155.14232 \nL 90.244168 156.401574 \nL 88.145371 157.475495 \nL 85.779838 158.339838 \nL 83.153599 158.965014 \nL 80.280516 159.315749 \nL 77.186033 159.351292 \nL 73.911465 159.026502 \nL 70.518536 158.294287 \nL 68.803623 157.761151 \nL 67.093634 157.109872 \nL 65.403715 156.336291 \nL 63.750795 155.437348 \nL 62.153511 154.411417 \nL 60.632034 153.258665 \nL 59.20782 151.981414 \nL 57.903246 150.584506 \nL 56.741115 149.075617 \nL 55.744074 147.465525 \nL 54.933906 145.768249 \nL 54.330761 144.001103 \nL 53.952323 142.184542 \nL 53.812979 140.341869 \nL 53.923027 138.498713 \nL 54.288021 136.682333 \nL 54.908225 134.92077 \nL 55.778347 133.241869 \nL 56.887487 131.672263 \nL 58.219366 130.236338 \nL 59.75284 128.955314 \nL 61.462632 127.846504 \nL 63.320271 126.922753 \nL 65.295148 126.192151 \nL 67.355621 125.658028 \nL 69.470104 125.319146 \nL 71.608056 125.170155 \nL 73.740835 125.202181 \nL 75.842373 125.403525 \nL 77.889659 125.760388 \nL 79.863013 126.257598 \nL 81.746202 126.879277 \nL 83.526387 127.609413 \nL 85.193946 128.432338 \nL 86.742206 129.333111 \nL 88.167115 130.297761 \nL 90.64156 132.368694 \nL 92.623211 134.557575 \nL 94.136906 136.796288 \nL 95.217015 139.033903 \nL 95.900505 141.233377 \nL 96.22231 143.368123 \nL 96.212673 145.418913 \nL 95.895924 147.371305 \nL 95.29028 149.213541 \nL 94.408291 150.9349 \nL 93.257725 152.524343 \nL 91.84273 153.969407 \nL 90.165243 155.255232 \nL 88.226651 156.363684 \nL 86.02976 157.272612 \nL 83.581152 157.955248 \nL 80.894014 158.379863 \nL 77.99145 158.509916 \nL 74.910254 158.304924 \nL 71.704935 157.722455 \nL 68.451521 156.721648 \nL 66.837163 156.053323 \nL 65.250419 155.268655 \nL 63.707773 154.365733 \nL 62.227146 153.344138 \nL 60.827698 152.20524 \nL 59.529553 150.952526 \nL 58.353402 149.591885 \nL 57.32004 148.131855 \nL 56.449798 146.583818 \nL 55.761886 144.962064 \nL 55.273679 143.283757 \nL 55.000007 141.568742 \nL 54.952428 139.839179 \nL 55.138583 138.119037 \nL 55.561664 136.433441 \nL 56.220032 134.807865 \nL 57.107052 133.267263 \nL 58.211137 131.835187 \nL 59.516034 130.532923 \nL 61.00134 129.378717 \nL 62.643192 128.387202 \nL 64.415128 127.568959 \nL 66.289015 126.930342 \nL 68.236025 126.473499 \nL 70.227562 126.196619 \nL 72.236102 126.094326 \nL 74.235916 126.158221 \nL 76.203628 126.377483 \nL 78.11861 126.739501 \nL 79.963206 127.230494 \nL 81.722825 127.836092 \nL 83.385869 128.541807 \nL 84.943592 129.333466 \nL 87.720832 131.121266 \nL 90.031342 133.102087 \nL 91.878765 135.195362 \nL 93.283819 137.337619 \nL 94.276063 139.480615 \nL 94.887745 141.588528 \nL 95.149652 143.634981 \nL 95.088675 145.600304 \nL 94.726675 147.469178 \nL 94.080269 149.228748 \nL 93.161245 150.86704 \nL 91.977406 152.37171 \nL 90.533718 153.728973 \nL 88.833717 154.922694 \nL 86.881206 155.9336 \nL 84.682264 156.738641 \nL 82.247638 157.310574 \nL 79.595545 157.617874 \nL 76.754886 157.625222 \nL 73.768755 157.294792 \nL 70.697934 156.588714 \nL 67.623894 155.473043 \nL 66.117229 154.753443 \nL 64.650431 153.92346 \nL 63.239838 152.982768 \nL 61.902894 151.932639 \nL 60.657897 150.776206 \nL 59.523691 149.518724 \nL 58.519226 148.167781 \nL 57.663085 146.733467 \nL 56.97293 145.228445 \nL 56.464875 143.667927 \nL 56.152868 142.06953 \nL 56.048046 140.452989 \nL 56.158183 138.839728 \nL 56.487177 137.252328 \nL 57.034695 135.713844 \nL 57.795994 134.247084 \nL 58.76188 132.873822 \nL 59.918926 131.614053 \nL 61.249835 130.485294 \nL 62.734009 129.502035 \nL 64.348242 128.675294 \nL 66.067515 128.012394 \nL 67.865828 127.516913 \nL 69.717038 127.188826 \nL 71.595618 127.024773 \nL 73.477343 127.018473 \nL 75.339841 127.161245 \nL 77.163006 127.442521 \nL 78.929279 127.850398 \nL 80.623774 128.372156 \nL 82.234313 128.994729 \nL 85.167666 130.490576 \nL 87.680683 132.239543 \nL 89.755877 134.155336 \nL 91.398142 136.166518 \nL 92.626398 138.216469 \nL 93.466694 140.261639 \nL 93.947068 142.269098 \nL 94.094126 144.21397 \nL 93.931052 146.07705 \nL 93.476745 147.842774 \nL 92.745716 149.497506 \nL 91.748576 151.028167 \nL 90.492907 152.421059 \nL 88.984445 153.660916 \nL 87.228543 154.730079 \nL 85.231928 155.607854 \nL 83.004786 156.270035 \nL 80.56319 156.688744 \nL 77.931906 156.832712 \nL 75.147437 156.668195 \nL 72.261152 156.160848 \nL 69.342104 155.278787 \nL 66.478895 153.9971 \nL 65.101344 153.201966 \nL 63.779777 152.303836 \nL 62.530346 151.304408 \nL 61.369886 150.207102 \nL 60.315614 149.017274 \nL 59.384735 147.742392 \nL 58.594016 146.392149 \nL 57.95929 144.978512 \nL 57.494904 143.515694 \nL 57.213181 142.019987 \nL 57.123874 140.509503 \nL 57.233676 139.003788 \nL 57.5458 137.523338 \nL 58.059689 136.089013 \nL 58.770851 134.721408 \nL 59.670856 133.440177 \nL 60.747516 132.263375 \nL 61.985205 131.20688 \nL 63.365363 130.283893 \nL 64.867075 129.504581 \nL 66.467768 128.87586 \nL 68.143939 128.401328 \nL 69.871864 128.081385 \nL 71.628284 127.913453 \nL 73.390995 127.892313 \nL 75.139356 128.010537 \nL 76.854669 128.258936 \nL 78.520439 128.62703 \nL 80.12252 129.103493 \nL 83.090924 130.334509 \nL 85.693016 131.858949 \nL 87.894066 133.590707 \nL 89.68441 135.45525 \nL 91.07182 137.39116 \nL 92.07461 139.349628 \nL 92.716064 141.292723 \nL 93.020426 143.19121 \nL 93.010286 145.022339 \nL 92.705163 146.76785 \nL 92.120953 148.412222 \nL 91.27007 149.941198 \nL 90.162031 151.340612 \nL 88.80444 152.595355 \nL 87.204242 153.688554 \nL 85.369277 154.60092 \nL 83.31014 155.310262 \nL 81.042335 155.791304 \nL 78.588737 156.015864 \nL 75.982287 155.953602 \nL 73.268769 155.573539 \nL 70.509319 154.846598 \nL 67.782238 153.749346 \nL 65.183348 152.268971 \nL 63.966304 151.385489 \nL 62.824096 150.409324 \nL 61.772274 149.34461 \nL 60.826539 148.197279 \nL 60.002381 146.975196 \nL 59.314666 145.688229 \nL 58.777194 144.348239 \nL 58.402204 142.969009 \nL 58.199921 141.566065 \nL 58.178091 140.156402 \nL 58.341569 138.758094 \nL 58.692012 137.389871 \nL 59.227664 136.070565 \nL 59.943253 134.818561 \nL 60.830062 133.651214 \nL 61.876102 132.584317 \nL 63.066456 131.631591 \nL 64.383733 130.804305 \nL 65.808593 130.110989 \nL 67.320372 129.557286 \nL 68.897696 129.145931 \nL 70.519107 128.87686 \nL 72.163636 128.74742 \nL 73.811315 128.752682 \nL 75.443593 128.885799 \nL 77.04366 129.138406 \nL 80.089812 129.963424 \nL 82.855952 131.145144 \nL 85.280693 132.599448 \nL 87.331096 134.247985 \nL 88.996568 136.022316 \nL 90.282288 137.865364 \nL 91.203173 139.73109 \nL 91.77899 141.583074 \nL 92.030783 143.392689 \nL 91.978515 145.137156 \nL 91.639764 146.79776 \nL 91.029233 148.358283 \nL 90.158863 149.803667 \nL 89.038419 151.118915 \nL 87.676424 152.288159 \nL 86.0814 153.293916 \nL 84.2634 154.116551 \nL 82.235811 154.733929 \nL 80.017437 155.121392 \nL 77.634805 155.252148 \nL 75.124613 155.098263 \nL 72.536089 154.632413 \nL 69.932952 153.830602 \nL 67.394459 152.675938 \nL 65.014876 151.163428 \nL 63.917604 150.27601 \nL 62.900667 149.305412 \nL 61.97834 148.256758 \nL 61.164772 147.136861 \nL 60.473632 145.954289 \nL 59.91773 144.719381 \nL 59.508597 143.444196 \nL 59.256082 142.142361 \nL 59.167943 140.828887 \nL 59.249484 139.519853 \nL 59.503262 138.232024 \nL 59.928846 136.98244 \nL 60.522719 135.787933 \nL 61.278266 134.664611 \nL 62.185892 133.627398 \nL 63.233264 132.689585 \nL 64.405652 131.862443 \nL 65.686363 131.154936 \nL 67.057249 130.57353 \nL 68.499237 130.122132 \nL 69.992879 129.802113 \nL 71.518873 129.612445 \nL 73.058533 129.549919 \nL 74.59421 129.609439 \nL 77.590067 130.066712 \nL 80.396306 130.918237 \nL 82.931743 132.088808 \nL 85.143502 133.502654 \nL 87.00327 135.089426 \nL 88.501919 136.787496 \nL 89.643852 138.545115 \nL 90.441861 140.320056 \nL 90.912981 142.078398 \nL 91.075453 143.792939 \nL 90.946754 145.441527 \nL 90.542512 147.005488 \nL 89.876142 148.468256 \nL 88.95904 149.814183 \nL 87.801178 151.027553 \nL 86.412067 152.091787 \nL 84.801995 152.988807 \nL 82.983555 153.698645 \nL 80.973399 154.199265 \nL 78.794242 154.466756 \nL 76.476985 154.475987 \nL 74.06285 154.201875 \nL 71.605283 153.621417 \nL 69.171214 152.716614 \nL 66.84124 151.478286 \nL 64.708058 149.910587 \nL 63.746655 149.009337 \nL 62.872645 148.035729 \nL 62.098876 146.996037 \nL 61.437752 145.898084 \nL 60.900918 144.751257 \nL 60.498875 143.566457 \nL 60.240643 142.355974 \nL 60.133398 141.133322 \nL 60.182163 139.912964 \nL 60.38954 138.710012 \nL 60.755508 137.539856 \nL 61.277314 136.417743 \nL 61.949447 135.35837 \nL 62.763736 134.375442 \nL 63.709529 133.481306 \nL 64.773978 132.686584 \nL 65.942391 131.999933 \nL 67.198667 131.427835 \nL 68.525746 130.974524 \nL 69.906085 130.641987 \nL 71.322109 130.430045 \nL 72.756655 130.336524 \nL 75.616846 130.487456 \nL 78.370055 131.046905 \nL 80.923187 131.952249 \nL 83.208869 133.134793 \nL 85.184096 134.52663 \nL 86.826552 136.065275 \nL 88.129852 137.696084 \nL 89.098709 139.372965 \nL 89.74465 141.057964 \nL 90.082604 142.720121 \nL 90.128455 144.334102 \nL 89.897494 145.878747 \nL 89.40361 147.33572 \nL 88.659117 148.688327 \nL 87.675033 149.920485 \nL 86.461769 151.01589 \nL 85.030122 151.957358 \nL 83.392536 152.726336 \nL 81.564613 153.302695 \nL 79.566835 153.66477 \nL 77.426416 153.789811 \nL 75.1792 153.654938 \nL 72.87142 153.238717 \nL 70.560976 152.523486 \nL 68.317917 151.498439 \nL 66.223582 150.163373 \nL 64.367961 148.532762 \nL 62.844833 146.639574 \nL 62.236583 145.610557 \nL 61.744648 144.537887 \nL 61.378337 143.431697 \nL 61.145584 142.303318 \nL 61.052645 141.16512 \nL 61.103817 140.030277 \nL 61.301233 138.912491 \nL 61.64468 137.825674 \nL 62.131523 136.783575 \nL 62.756685 135.799434 \nL 63.512732 134.885615 \nL 64.390032 134.053258 \nL 65.376999 133.311998 \nL 66.460418 132.669738 \nL 67.625788 132.132483 \nL 68.857729 131.704237 \nL 70.140388 131.387039 \nL 71.457837 131.180993 \nL 74.135241 131.094045 \nL 76.774186 131.412162 \nL 79.276614 132.086105 \nL 81.566368 133.056509 \nL 83.589846 134.260844 \nL 85.314016 135.6387 \nL 86.722833 137.135133 \nL 87.813058 138.702271 \nL 88.590177 140.299607 \nL 89.064928 141.893442 \nL 89.250606 143.455869 \nL 89.161167 144.963534 \nL 88.810108 146.396398 \nL 88.209957 147.736593 \nL 87.372286 148.967412 \nL 86.308146 150.072464 \nL 85.028825 151.03498 \nL 83.546894 151.837343 \nL 81.877494 152.460782 \nL 80.039816 152.885355 \nL 78.058731 153.09028 \nL 75.966466 153.054666 \nL 73.804149 152.758796 \nL 71.62306 152.186006 \nL 69.485186 151.325249 \nL 67.462753 150.174234 \nL 65.636286 148.742901 \nL 64.090868 147.056817 \nL 62.910425 145.15977 \nL 62.481183 144.151076 \nL 62.170323 143.114709 \nL 61.98455 142.061273 \nL 61.928993 141.002241 \nL 62.006977 139.949704 \nL 62.219848 138.916136 \nL 62.566844 137.914102 \nL 63.045045 136.955945 \nL 63.649376 136.053472 \nL 64.372699 135.217647 \nL 65.205955 134.458305 \nL 66.13841 133.783919 \nL 67.157916 133.201392 \nL 68.251236 132.715942 \nL 69.404391 132.331039 \nL 71.832674 131.868034 \nL 74.32914 131.806579 \nL 76.788824 132.118594 \nL 79.122318 132.75995 \nL 81.259444 133.677254 \nL 83.14997 134.813891 \nL 84.761991 136.114656 \nL 86.078935 137.528799 \nL 87.095978 139.01155 \nL 87.816514 140.524521 \nL 88.249101 142.035305 \nL 88.405041 143.516666 \nL 88.296696 144.945465 \nL 87.936431 146.30161 \nL 87.336162 147.567041 \nL 86.507359 148.724827 \nL 85.461436 149.758411 \nL 84.210466 150.651027 \nL 82.768169 151.385287 \nL 81.151088 151.942992 \nL 79.379958 152.305212 \nL 77.481156 152.452688 \nL 75.488144 152.366656 \nL 73.442754 152.030174 \nL 71.39604 151.429989 \nL 69.408488 150.55894 \nL 67.549136 149.418836 \nL 65.893354 148.023469 \nL 64.518992 146.401369 \nL 63.500901 144.597642 \nL 63.146377 143.646396 \nL 62.904154 142.674195 \nL 62.77963 141.691073 \nL 62.7767 140.707711 \nL 62.897569 139.735251 \nL 63.142628 138.78504 \nL 63.510375 137.868391 \nL 63.997381 136.996295 \nL 64.598326 136.179167 \nL 65.306102 135.426579 \nL 66.111971 134.747013 \nL 67.005774 134.147692 \nL 69.011011 133.211485 \nL 71.22246 132.646014 \nL 73.53632 132.455155 \nL 75.853267 132.621252 \nL 78.085461 133.10999 \nL 80.160963 133.876139 \nL 82.02543 134.869174 \nL 83.641595 136.037868 \nL 84.987181 137.333605 \nL 86.051981 138.712332 \nL 86.834766 140.135406 \nL 87.340413 141.569604 \nL 87.577507 142.986592 \nL 87.556584 144.36213 \nL 87.288937 145.675148 \nL 86.785973 146.906831 \nL 86.05906 148.039779 \nL 85.11974 149.057309 \nL 83.980271 149.942867 \nL 82.654439 150.679635 \nL 81.158581 151.250321 \nL 79.512756 151.63721 \nL 77.742017 151.822496 \nL 75.877678 151.788996 \nL 73.958412 151.521278 \nL 72.031037 151.007279 \nL 70.150681 150.240363 \nL 68.380088 149.221779 \nL 66.787751 147.963278 \nL 65.444673 146.489503 \nL 64.419738 144.839679 \nL 63.773906 143.067966 \nL 63.553846 141.241975 \nL 63.612654 140.332588 \nL 63.785924 139.439147 \nL 64.073035 138.571933 \nL 64.471652 137.741053 \nL 64.977743 136.956196 \nL 65.58564 136.226413 \nL 67.076715 134.963779 \nL 68.872229 134.005338 \nL 70.884891 133.382882 \nL 73.020887 133.106581 \nL 75.187948 133.166563 \nL 77.302055 133.536546 \nL 79.292103 134.178666 \nL 81.102212 135.048452 \nL 82.691989 136.099151 \nL 84.03519 137.285109 \nL 85.117469 138.563937 \nL 85.933722 139.897639 \nL 86.485501 141.252965 \nL 86.778775 142.601152 \nL 86.822141 143.917335 \nL 86.6256 145.179803 \nL 86.199804 146.369204 \nL 85.555772 147.467785 \nL 84.704968 148.458738 \nL 83.659719 149.325664 \nL 82.433859 150.052187 \nL 81.043615 150.621757 \nL 79.508616 151.017687 \nL 77.853001 151.223447 \nL 76.106506 151.223288 \nL 74.305425 151.003239 \nL 72.493252 150.552523 \nL 70.720819 149.865354 \nL 69.04565 148.943054 \nL 67.530332 147.796315 \nL 66.23971 146.447265 \nL 65.236879 144.930917 \nL 64.578185 143.295547 \nL 64.307674 141.601523 \nL 64.45181 139.918284 \nL 65.015322 138.319625 \nL 65.979078 136.877674 \nL 67.300643 135.656591 \nL 68.917561 134.70692 \nL 70.752939 134.061694 \nL 72.72237 133.734815 \nL 74.741055 133.721861 \nL 76.730017 134.002826 \nL 78.620703 134.546102 \nL 80.357598 135.312791 \nL 81.898979 136.260673 \nL 83.216199 137.347447 \nL 84.291974 138.532945 \nL 85.118177 139.780498 \nL 85.693578 141.057448 \nL 86.021769 142.335142 \nL 86.109494 143.588548 \nL 85.965404 144.795656 \nL 85.599274 145.936814 \nL 85.02162 146.994063 \nL 84.243695 147.950546 \nL 83.277781 148.790018 \nL 82.137718 149.496497 \nL 80.839667 150.054087 \nL 79.402964 150.447013 \nL 77.851088 150.65989 \nL 76.212586 150.678292 \nL 74.521892 150.48965 \nL 72.819834 150.084504 \nL 71.153701 149.458091 \nL 69.576614 148.612199 \nL 68.146039 147.557095 \nL 66.921293 146.313292 \nL 65.96001 144.91278 \nL 65.313788 143.399327 \nL 65.023343 141.827439 \nL 65.113892 140.259806 \nL 65.591457 138.763241 \nL 66.440882 137.403559 \nL 67.626067 136.240031 \nL 69.092581 135.320412 \nL 70.772286 134.677326 \nL 72.589254 134.326503 \nL 74.466007 134.267119 \nL 76.329147 134.483902 \nL 78.113696 134.95035 \nL 79.765793 135.632469 \nL 81.243765 136.492324 \nL 82.517828 137.491037 \nL 83.568825 138.590996 \nL 84.386434 139.757239 \nL 84.967218 140.95816 \nL 85.312764 142.165653 \nL 85.428148 143.354892 \nL 85.320732 144.503878 \nL 84.99938 145.592894 \nL 84.474041 146.603942 \nL 83.75567 147.520211 \nL 82.856427 148.325664 \nL 81.790125 149.004715 \nL 80.572857 149.54208 \nL 79.223745 149.922825 \nL 77.765768 150.132622 \nL 76.226535 150.158287 \nL 74.638968 149.988596 \nL 73.041688 149.615415 \nL 71.478987 149.035098 \nL 70.00019 148.250118 \nL 68.658259 147.270718 \nL 67.507513 146.116409 \nL 66.600491 144.81697 \nL 65.984107 143.412636 \nL 65.695418 141.953123 \nL 65.757601 140.495366 \nL 66.176731 139.100008 \nL 66.94001 137.826914 \nL 68.015891 136.730411 \nL 69.356229 135.854874 \nL 70.90019 135.231458 \nL 72.579326 134.876405 \nL 74.323032 134.791101 \nL 76.063563 134.963697 \nL 77.740053 135.37177 \nL 79.301124 135.98551 \nL 80.706119 136.770863 \nL 81.925096 137.69228 \nL 82.937917 138.714771 \nL 83.732794 139.805324 \nL 84.30464 140.93368 \nL 84.653437 142.072595 \nL 84.782836 143.19774 \nL 84.69904 144.287389 \nL 84.410055 145.321977 \nL 83.925256 146.283625 \nL 83.255252 147.155689 \nL 82.412052 147.922395 \nL 81.409399 148.56858 \nL 80.263324 149.079573 \nL 78.99277 149.441247 \nL 77.620301 149.640285 \nL 76.172748 149.664691 \nL 74.681758 149.504538 \nL 73.184055 149.152986 \nL 71.721324 148.607554 \nL 70.339541 147.871522 \nL 69.08763 146.955361 \nL 68.015365 145.87797 \nL 67.170548 144.667474 \nL 66.595566 143.361263 \nL 66.323717 142.005059 \nL 66.375708 140.650864 \nL 66.756877 139.353815 \nL 67.455691 138.16832 \nL 68.443858 137.143862 \nL 69.678171 136.321168 \nL 71.103875 135.72933 \nL 72.659061 135.384211 \nL 74.279421 135.288384 \nL 75.902704 135.432417 \nL 77.472346 135.797082 \nL 78.93993 136.356071 \nL 80.266469 137.078776 \nL 81.422571 137.932728 \nL 82.387806 138.885534 \nL 83.149547 139.90622 \nL 83.701558 140.966044 \nL 84.042593 142.038826 \nL 84.175145 143.100964 \nL 84.104432 144.131206 \nL 83.837689 145.110313 \nL 83.383747 146.020675 \nL 82.752886 146.845922 \nL 81.956931 147.570628 \nL 81.009546 148.1801 \nL 79.92668 148.660287 \nL 78.72712 148.997863 \nL 77.433062 149.180502 \nL 76.070659 149.197342 \nL 74.670424 149.039714 \nL 73.267399 148.702058 \nL 71.900928 148.183057 \nL 70.61397 147.48685 \nL 69.451776 146.624282 \nL 68.459949 145.613882 \nL 67.681859 144.482488 \nL 67.155588 143.265145 \nL 66.910713 142.004159 \nL 66.965261 140.74721 \nL 67.323378 139.544542 \nL 67.974073 138.445544 \nL 68.891383 137.495085 \nL 70.036024 136.730214 \nL 71.358331 136.177626 \nL 72.802096 135.852238 \nL 74.308714 135.757111 \nL 75.821125 135.884457 \nL 77.287051 136.217512 \nL 78.661267 136.73289 \nL 79.90685 137.402976 \nL 80.99546 138.198116 \nL 81.906901 139.088384 \nL 82.628187 140.044843 \nL 83.152368 141.040332 \nL 83.477315 142.04988 \nL 83.604623 143.050749 \nL 83.538704 144.022321 \nL 83.286139 144.94583 \nL 82.855282 145.804045 \nL 82.256099 146.580985 \nL 81.500238 147.261648 \nL 80.601266 147.831852 \nL 79.575052 148.278204 \nL 78.440215 148.588185 \nL 77.218613 148.750433 \nL 75.935762 148.755212 \nL 74.621141 148.595064 \nL 73.308233 148.265669 \nL 72.034239 147.766844 \nL 70.839335 147.103615 \nL 69.76539 146.287255 \nL 68.854134 145.336076 \nL 68.144802 144.27586 \nL 67.671409 143.139642 \nL 67.459919 141.966748 \nL 67.525649 140.801029 \nL 67.87129 139.688322 \nL 68.485941 138.673399 \nL 69.345333 137.796826 \nL 70.413349 137.092062 \nL 71.64463 136.583252 \nL 72.987941 136.284066 \nL 74.389825 136.197538 \nL 75.798046 136.31697 \nL 77.164475 136.627506 \nL 78.447138 137.108158 \nL 79.611394 137.733912 \nL 80.630282 138.477646 \nL 81.48421 139.311721 \nL 82.160212 140.209175 \nL 82.650972 141.144449 \nL 82.953777 142.093834 \nL 83.069561 143.035562 \nL 83.00211 143.949753 \nL 82.757469 144.818215 \nL 82.343587 145.624217 \nL 81.77016 146.352236 \nL 81.048675 146.987762 \nL 80.192601 147.517197 \nL 79.217709 147.927818 \nL 78.142445 148.207934 \nL 76.988322 148.347148 \nL 75.780245 148.336816 \nL 74.546696 148.170659 \nL 73.319697 147.845553 \nL 72.134428 147.362415 \nL 71.028458 146.727125 \nL 70.040495 145.951399 \nL 69.208655 145.053406 \nL 68.568307 144.058008 \nL 68.149633 142.996459 \nL 67.975165 141.905431 \nL 68.05756 140.825322 \nL 68.397969 139.797957 \nL 68.985307 138.863922 \nL 69.796565 138.059746 \nL 70.798236 137.415444 \nL 71.948652 136.952658 \nL 73.20096 136.683594 \nL 74.506321 136.610975 \nL 75.816955 136.728777 \nL 77.088658 137.023622 \nL 78.28266 137.476507 \nL 79.366696 138.064646 \nL 80.315369 138.763181 \nL 81.109957 139.546594 \nL 81.737798 140.389773 \nL 82.19148 141.26874 \nL 82.467951 142.161055 \nL 82.567695 143.045973 \nL 82.494032 143.904426 \nL 82.252597 144.718885 \nL 81.851014 145.473188 \nL 81.298754 146.152352 \nL 80.607155 146.742426 \nL 79.789593 147.230422 \nL 78.861727 147.604345 \nL 77.303827 147.92796 \nL 75.613589 147.940617 \nL 73.881112 147.623087 \nL 72.754187 147.225544 \nL 71.689401 146.683607 \nL 70.72235 146.006616 \nL 69.888481 145.209606 \nL 69.221297 144.313633 \nL 68.750245 143.345612 \nL 68.498537 142.337648 \nL 68.481084 141.325713 \nL 68.702872 140.347812 \nL 69.158015 139.441691 \nL 69.829683 138.642422 \nL 70.690991 137.980042 \nL 71.70675 137.477674 \nL 72.835894 137.150331 \nL 74.03425 137.004427 \nL 75.257321 137.038138 \nL 76.462751 137.242352 \nL 77.612275 137.602071 \nL 78.673023 138.097994 \nL 79.618176 138.708104 \nL 80.427068 139.409024 \nL 81.084844 140.177176 \nL 81.581881 140.98958 \nL 81.913025 141.824377 \nL 82.076873 142.661122 \nL 82.075093 143.480859 \nL 81.911897 144.26609 \nL 81.593665 145.00066 \nL 81.12874 145.669625 \nL 80.527362 146.259132 \nL 79.801758 146.756349 \nL 78.512514 147.303612 \nL 77.035484 147.582153 \nL 75.443231 147.565079 \nL 73.822834 147.236816 \nL 72.274594 146.59772 \nL 71.33625 146.008541 \nL 70.511335 145.302701 \nL 69.831377 144.49808 \nL 69.324735 143.617919 \nL 69.014674 142.690324 \nL 68.917482 141.747278 \nL 69.040899 140.823145 \nL 69.383078 139.952753 \nL 69.932238 139.169255 \nL 70.667158 138.502047 \nL 71.558446 137.974911 \nL 72.570471 137.604693 \nL 73.663722 137.40062 \nL 74.79729 137.364285 \nL 75.931201 137.49029 \nL 77.028362 137.767273 \nL 78.534932 138.429995 \nL 79.798026 139.3297 \nL 80.757026 140.393492 \nL 81.376761 141.548707 \nL 81.593762 142.335713 \nL 81.653463 143.114242 \nL 81.558662 143.866957 \nL 81.314491 144.577802 \nL 80.928143 145.231926 \nL 80.1026 146.076977 \nL 79.017474 146.721787 \nL 77.722885 147.130053 \nL 76.281091 147.272295 \nL 74.767439 147.128326 \nL 73.27 146.690827 \nL 71.886883 145.969731 \nL 71.078934 145.345968 \nL 70.396925 144.624845 \nL 69.867924 143.826465 \nL 69.514821 142.975478 \nL 69.35464 142.100289 \nL 69.397056 141.231878 \nL 69.64331 140.402176 \nL 70.085713 139.642233 \nL 70.707821 138.98034 \nL 71.485336 138.440289 \nL 72.387615 138.040038 \nL 73.379639 137.790844 \nL 74.424184 137.697037 \nL 75.483979 137.756345 \nL 77.02563 138.113295 \nL 78.418208 138.749182 \nL 79.580467 139.602953 \nL 80.456198 140.607038 \nL 81.012423 141.693683 \nL 81.235782 142.798832 \nL 81.128623 143.863953 \nL 80.705834 144.836472 \nL 79.992956 145.669539 \nL 79.025529 146.321749 \nL 77.849502 146.757334 \nL 76.522099 146.947168 \nL 75.112512 146.870811 \nL 73.701562 146.519544 \nL 72.379469 145.900126 \nL 71.240939 145.038507 \nL 70.629436 144.352163 \nL 70.16454 143.598493 \nL 69.866205 142.801035 \nL 69.748722 141.986485 \nL 69.819479 141.183548 \nL 70.078098 140.421437 \nL 70.516117 139.728261 \nL 71.117266 139.12933 \nL 71.858349 138.645701 \nL 72.710674 138.293039 \nL 73.641801 138.080907 \nL 75.111346 138.031886 \nL 76.567804 138.292208 \nL 77.909751 138.824983 \nL 79.055288 139.577153 \nL 79.94505 140.487275 \nL 80.54167 141.49179 \nL 80.827088 142.529257 \nL 80.799222 143.542667 \nL 80.468985 144.480362 \nL 79.858266 145.296132 \nL 78.99902 145.949147 \nL 77.933263 146.40417 \nL 76.713606 146.632423 \nL 75.4037 146.613307 \nL 74.077878 146.336983 \nL 72.819236 145.807609 \nL 71.71545 145.046594 \nL 70.852044 144.09493 \nL 70.447495 143.383866 \nL 70.200537 142.637187 \nL 70.122968 141.879941 \nL 70.22011 141.138669 \nL 70.490158 140.440084 \nL 70.92399 139.809563 \nL 71.505531 139.269696 \nL 72.21263 138.839047 \nL 73.018373 138.531173 \nL 74.345717 138.315599 \nL 75.721214 138.396752 \nL 77.043754 138.753235 \nL 78.226064 139.344429 \nL 79.199975 140.117592 \nL 79.917937 141.014322 \nL 80.351867 141.975578 \nL 80.490612 142.944934 \nL 80.337128 143.870276 \nL 79.906198 144.704494 \nL 79.222988 145.405652 \nL 78.322512 145.937175 \nL 77.249733 146.268416 \nL 76.059836 146.375903 \nL 74.818122 146.245293 \nL 73.598805 145.874007 \nL 72.482118 145.274137 \nL 71.549238 144.474926 \nL 70.875068 143.523878 \nL 70.519599 142.485479 \nL 70.478851 141.782457 \nL 70.600046 141.099297 \nL 70.880126 140.460354 \nL 71.309437 139.888482 \nL 71.872143 139.403812 \nL 72.918881 138.874663 \nL 74.130027 138.612292 \nL 75.408896 138.626322 \nL 76.660336 138.902574 \nL 77.799738 139.407757 \nL 78.758773 140.095553 \nL 79.487759 140.912654 \nL 79.95539 141.803748 \nL 80.146874 142.714907 \nL 80.061555 143.595671 \nL 79.71076 144.400026 \nL 79.116308 145.086829 \nL 78.309769 145.620135 \nL 77.332299 145.969757 \nL 76.234696 146.112343 \nL 75.077161 146.033092 \nL 73.928198 145.728021 \nL 72.862055 145.206479 \nL 71.954326 144.493369 \nL 71.275671 143.63023 \nL 70.884169 142.674347 \nL 70.817517 141.695205 \nL 70.960194 141.066769 \nL 71.248619 140.483726 \nL 71.931004 139.738529 \nL 72.861175 139.198088 \nL 73.962376 138.899528 \nL 75.146769 138.857145 \nL 76.325491 139.062944 \nL 77.417302 139.490224 \nL 78.354596 140.098769 \nL 79.086411 140.840356 \nL 79.578897 141.663501 \nL 79.814119 142.517031 \nL 79.788111 143.35235 \nL 79.508949 144.124729 \nL 78.995247 144.793941 \nL 78.275278 145.324729 \nL 77.386611 145.68738 \nL 76.375977 145.858716 \nL 75.298905 145.823572 \nL 74.218686 145.576775 \nL 73.204087 145.12534 \nL 72.325505 144.490434 \nL 71.64946 143.708407 \nL 71.231858 142.830175 \nL 71.110937 141.918324 \nL 71.301336 141.041833 \nL 71.790737 140.268956 \nL 72.540192 139.659464 \nL 73.488366 139.257881 \nL 74.558924 139.089076 \nL 75.669438 139.15699 \nL 76.740057 139.446421 \nL 77.700351 139.926878 \nL 78.493695 140.557444 \nL 79.079079 141.29152 \nL 79.431001 142.080752 \nL 79.538167 142.877819 \nL 79.401803 143.638229 \nL 79.034092 144.321343 \nL 78.457054 144.891035 \nL 77.701894 145.316258 \nL 76.808661 145.571832 \nL 75.825892 145.639631 \nL 74.80984 145.51018 \nL 73.822806 145.184543 \nL 72.930216 144.676182 \nL 72.196238 144.01225 \nL 71.678135 143.233696 \nL 71.419932 142.393598 \nL 71.44647 141.553348 \nL 71.759162 140.777001 \nL 72.334567 140.124397 \nL 73.126446 139.644547 \nL 74.071013 139.370385 \nL 75.094391 139.316114 \nL 76.120676 139.477297 \nL 77.079127 139.833324 \nL 77.909498 140.351327 \nL 78.565063 140.990594 \nL 79.013587 141.706589 \nL 79.236851 142.45411 \nL 79.229389 143.18955 \nL 78.997045 143.87232 \nL 78.555752 144.465746 \nL 77.930655 144.937746 \nL 77.155583 145.261532 \nL 76.272611 145.416583 \nL 75.331425 145.389945 \nL 74.388051 145.177833 \nL 73.502649 144.787307 \nL 72.736054 144.237662 \nL 72.145107 143.560983 \nL 71.777133 142.801364 \nL 71.664318 142.012332 \nL 71.819034 141.252443 \nL 72.231264 140.579561 \nL 72.868861 140.044638 \nL 73.680866 139.686247 \nL 74.603302 139.526908 \nL 75.56627 139.57182 \nL 76.501006 139.809925 \nL 77.345723 140.216743 \nL 78.049588 140.758183 \nL 78.574737 141.39441 \nL 78.896648 142.08319 \nL 79.00348 142.782491 \nL 78.894907 143.452293 \nL 78.580918 144.055781 \nL 78.080833 144.560148 \nL 77.422605 144.937347 \nL 76.642287 145.164921 \nL 75.783419 145.227093 \nL 74.896042 145.116109 \nL 74.034984 144.833727 \nL 73.257139 144.392569 \nL 72.617662 143.816961 \nL 72.165248 143.142743 \nL 71.936999 142.415653 \nL 71.95372 141.688084 \nL 72.216604 141.014408 \nL 72.70617 140.445474 \nL 73.383905 140.023243 \nL 74.196417 139.776566 \nL 75.081322 139.718845 \nL 75.973754 139.847846 \nL 76.812367 140.147437 \nL 77.543929 140.590606 \nL 78.126211 141.142909 \nL 78.529238 141.76585 \nL 78.735277 142.41968 \nL 78.738095 143.06553 \nL 78.54192 143.666851 \nL 78.160442 144.190495 \nL 77.616019 144.607484 \nL 76.939022 144.893828 \nL 76.16724 145.031457 \nL 75.068203 144.965778 \nL 73.998688 144.614747 \nL 73.291243 144.180438 \nL 72.72127 143.626117 \nL 72.332191 142.986977 \nL 72.15581 142.30678 \nL 72.208274 141.634587 \nL 72.487441 141.020355 \nL 72.972367 140.509957 \nL 73.625165 140.140434 \nL 74.39506 139.93645 \nL 75.223804 139.908426 \nL 76.051552 140.052614 \nL 77.057667 140.483211 \nL 77.852571 141.125976 \nL 78.262454 141.698451 \nL 78.490285 142.307281 \nL 78.527896 142.915611 \nL 78.377282 143.48843 \nL 78.0497 143.993707 \nL 77.564875 144.403256 \nL 76.950331 144.693562 \nL 75.989983 144.865052 \nL 74.960302 144.769672 \nL 73.973889 144.409461 \nL 73.147024 143.816379 \nL 72.695977 143.255656 \nL 72.429716 142.63599 \nL 72.370554 142.000861 \nL 72.524981 141.396548 \nL 72.882236 140.867832 \nL 73.414945 140.453484 \nL 74.081838 140.182471 \nL 74.832083 140.071426 \nL 75.866693 140.176311 \nL 76.824866 140.544831 \nL 77.599506 141.121387 \nL 78.113305 141.831753 \nL 78.299768 142.403134 \nL 78.307611 142.969211 \nL 78.139898 143.497296 \nL 77.808463 143.957605 \nL 77.147273 144.421662 \nL 76.298265 144.67116 \nL 75.348444 144.676227 \nL 74.399734 144.429851 \nL 73.560833 143.951909 \nL 72.935175 143.291236 \nL 72.657095 142.720544 \nL 72.569036 142.128825 \nL 72.67937 141.558706 \nL 72.980742 141.052031 \nL 73.450356 140.645796 \nL 74.052138 140.368562 \nL 74.980374 140.228248 \nL 75.942017 140.355658 \nL 76.820833 140.724172 \nL 77.519472 141.280091 \nL 77.968496 141.953203 \nL 78.129516 142.666621 \nL 77.994402 143.344652 \nL 77.582671 143.918363 \nL 76.938543 144.329719 \nL 76.127996 144.535196 \nL 75.235208 144.509575 \nL 74.357192 144.249883 \nL 73.595453 143.778792 \nL 73.044305 143.145792 \nL 72.776903 142.424352 \nL 72.787375 141.878723 \nL 72.98046 141.373031 \nL 73.342044 140.944132 \nL 73.844643 140.622684 \nL 74.667131 140.397118 \nL 75.564358 140.421412 \nL 76.425312 140.683208 \nL 77.151109 141.141709 \nL 77.665815 141.736583 \nL 77.921648 142.397469 \nL 77.899803 143.05214 \nL 77.608754 143.632684 \nL 77.081639 144.080026 \nL 76.373435 144.347676 \nL 75.557653 144.405298 \nL 74.721769 144.242373 \nL 73.960266 143.871523 \nL 73.364741 143.330263 \nL 73.011584 142.679626 \nL 72.949265 141.998358 \nL 73.10137 141.519148 \nL 73.413007 141.105881 \nL 74.034586 140.707315 \nL 74.814266 140.524817 \nL 75.651494 140.574806 \nL 76.443864 140.842789 \nL 77.101203 141.288692 \nL 77.555105 141.854991 \nL 77.763526 142.475419 \nL 77.711535 143.082362 \nL 77.409817 143.612637 \nL 76.892259 144.011836 \nL 76.213154 144.237988 \nL 75.443773 144.265024 \nL 74.667546 144.086154 \nL 73.972982 143.716671 \nL 73.444018 143.195036 \nL 73.148512 142.580854 \nL 73.126855 141.948764 \nL 73.383736 141.378354 \nL 73.885803 140.941875 \nL 74.566565 140.692617 \nL 75.337581 140.657121 \nL 76.102852 140.832824 \nL 76.772775 141.191134 \nL 77.274761 141.684006 \nL 77.559428 142.2519 \nL 77.60278 142.831225 \nL 77.405716 143.360429 \nL 76.992119 143.784711 \nL 76.406338 144.059834 \nL 75.710068 144.155514 \nL 74.978153 144.05865 \nL 74.292608 143.776129 \nL 73.734344 143.336346 \nL 73.372975 142.788301 \nL 73.256143 142.197223 \nL 73.400721 141.636451 \nL 73.788599 141.176689 \nL 74.368777 140.874875 \nL 75.065617 140.765557 \nL 75.791219 140.856713 \nL 76.458663 141.130712 \nL 76.993192 141.54916 \nL 77.33969 142.059882 \nL 77.466245 142.604112 \nL 77.364758 143.122759 \nL 77.049683 143.5614 \nL 76.555889 143.87432 \nL 75.93584 144.027896 \nL 75.255921 144.003764 \nL 74.59131 143.801573 \nL 74.018892 143.440798 \nL 73.608317 142.960649 \nL 73.412138 142.417098 \nL 73.456952 141.876524 \nL 73.737895 141.406516 \nL 74.218416 141.065622 \nL 74.835874 140.894329 \nL 75.511681 140.909608 \nL 76.313494 141.177551 \nL 76.935959 141.663805 \nL 77.235334 142.147597 \nL 77.326943 142.656048 \nL 77.205651 143.133998 \nL 76.887486 143.531091 \nL 76.407541 143.80561 \nL 75.817145 143.927782 \nL 75.021781 143.845137 \nL 74.292661 143.511655 \nL 73.847962 143.099437 \nL 73.587555 142.607853 \nL 73.545512 142.095942 \nL 73.728184 141.627039 \nL 74.112173 141.259529 \nL 74.647567 141.037945 \nL 75.265842 140.98662 \nL 76.038923 141.162298 \nL 76.681954 141.562692 \nL 77.087182 142.108282 \nL 77.197543 142.583226 \nL 77.10817 143.035998 \nL 76.831656 143.418494 \nL 76.398946 143.690363 \nL 75.710685 143.831127 \nL 74.968595 143.727681 \nL 74.302918 143.393675 \nL 73.836471 142.884843 \nL 73.669356 142.412732 \nL 73.710881 141.944397 \nL 73.956237 141.537816 \nL 74.37377 141.243076 \nL 74.909694 141.094922 \nL 75.642774 141.136499 \nL 76.317986 141.412536 \nL 76.817112 141.864709 \nL 77.059933 142.40793 \nL 77.045503 142.844158 \nL 76.849441 143.230756 \nL 76.494641 143.526725 \nL 75.888214 143.722074 \nL 75.197807 143.692615 \nL 74.543394 143.440123 \nL 74.043757 143.005768 \nL 73.79404 142.466618 \nL 73.809602 142.027166 \nL 74.016574 141.639077 \nL 74.388384 141.350004 \nL 75.010835 141.178432 \nL 75.694316 141.240701 \nL 76.311994 141.517645 \nL 76.756351 141.952042 \nL 76.956211 142.462982 \nL 76.884366 142.961376 \nL 76.557919 143.363702 \nL 76.03383 143.603115 \nL 75.401036 143.638448 \nL 74.768747 143.461233 \nL 74.250172 143.099577 \nL 73.94233 142.616631 \nL 73.905277 142.101346 \nL 74.077799 141.731762 \nL 74.510196 141.396892 \nL 75.101448 141.259027 \nL 75.737555 141.338936 \nL 76.301342 141.615019 \nL 76.6952 142.03135 \nL 76.856238 142.511051 \nL 76.763008 142.970706 \nL 76.435535 143.333108 \nL 75.930857 143.537724 \nL 75.335077 143.549104 \nL 74.75166 143.363195 \nL 74.285518 143.010304 \nL 74.023924 142.552683 \nL 74.017707 142.074873 \nL 74.268353 141.667315 \nL 74.726232 141.406772 \nL 75.301656 141.339622 \nL 75.885349 141.473172 \nL 76.371687 141.776869 \nL 76.678024 142.191427 \nL 76.75663 142.641852 \nL 76.59919 143.050587 \nL 76.235592 143.349022 \nL 75.728667 143.486876 \nL 75.16551 143.439652 \nL 74.55467 143.149803 \nL 74.208676 142.762351 \nL 74.082497 142.315811 \nL 74.200802 141.89373 \nL 74.540291 141.575833 \nL 75.034197 141.420716 \nL 75.587417 141.453732 \nL 76.185929 141.723339 \nL 76.573118 142.167881 \nL 76.667864 142.588392 \nL 76.541096 142.976768 \nL 76.217505 143.267458 \nL 75.753443 143.411418 \nL 75.124769 143.356882 \nL 74.568033 143.067295 \nL 74.265354 142.696627 \nL 74.171982 142.279178 \nL 74.305986 141.893021 \nL 74.64096 141.610781 \nL 75.111375 141.48403 \nL 75.727407 141.563121 \nL 76.247228 141.864574 \nL 76.542816 142.304304 \nL 76.567808 142.694863 \nL 76.389307 143.035592 \nL 76.040104 143.268947 \nL 75.482518 143.352997 \nL 74.906203 143.204476 \nL 74.458525 142.8587 \nL 74.258017 142.403787 \nL 74.321527 142.027948 \nL 74.583468 141.730452 \nL 74.992585 141.566244 \nL 75.566186 141.582333 \nL 76.086028 141.817904 \nL 76.421728 142.205613 \nL 76.495249 142.644005 \nL 76.345593 142.969044 \nL 75.954448 143.228648 \nL 75.426758 143.287583 \nL 74.894457 143.13013 \nL 74.494065 142.794442 \nL 74.331551 142.366576 \nL 74.411806 142.021216 \nL 74.673266 141.755179 \nL 75.152647 141.607597 \nL 75.687944 141.677818 \nL 76.139245 141.941124 \nL 76.394975 142.324603 \nL 76.397001 142.729392 \nL 76.149977 143.055436 \nL 75.717383 143.223397 \nL 75.207147 143.191692 \nL 74.748194 142.96709 \nL 74.459678 142.605843 \nL 74.418468 142.202056 \nL 74.635177 141.863137 \nL 75.049394 141.678671 \nL 75.547969 141.694263 \nL 75.999322 141.900343 \nL 76.29004 142.23856 \nL 76.351921 142.620494 \nL 76.174635 142.950761 \nL 75.80501 143.148651 \nL 75.335703 143.165548 \nL 74.820064 142.952558 \nL 74.535823 142.622689 \nL 74.478552 142.245855 \nL 74.663097 141.922009 \nL 75.038037 141.736672 \nL 75.501056 141.736116 \nL 75.989775 141.960076 \nL 76.266293 142.342211 \nL 76.265833 142.694662 \nL 76.048275 142.977589 \nL 75.669795 143.121778 \nL 75.152806 143.069401 \nL 74.724131 142.798327 \nL 74.543191 142.461172 \nL 74.587166 142.119685 \nL 74.843195 141.864393 \nL 75.240728 141.761674 \nL 75.740054 141.863499 \nL 76.111807 142.160471 \nL 76.233492 142.545357 \nL 76.109933 142.845297 \nL 75.809245 143.039077 \nL 75.337596 143.069513 \nL 74.890377 142.881627 \nL 74.623287 142.53955 \nL 74.612124 142.214149 \nL 74.806733 141.949702 \nL 75.153337 141.815436 \nL 75.623856 141.864475 \nL 76.007453 142.109948 \nL 76.175709 142.461901 \nL 76.107311 142.756236 \nL 75.861704 142.966502 \nL 75.436525 143.038418 \nL 75.001705 142.902773 \nL 74.707887 142.605729 \nL 74.658756 142.251316 \nL 74.826503 141.997864 \nL 75.202464 141.853314 \nL 75.64031 141.914566 \nL 75.986381 142.154545 \nL 76.125154 142.485979 \nL 76.014873 142.794729 \nL 75.69669 142.977451 \nL 75.279749 142.973343 \nL 74.865556 142.74468 \nL 74.699538 142.426276 \nL 74.780716 142.114113 \nL 75.07802 141.918967 \nL 75.482578 141.907738 \nL 75.892282 142.11604 \nL 76.068165 142.415888 \nL 76.013226 142.71727 \nL 75.750105 142.91871 \nL 75.313223 142.942956 \nL 74.918605 142.740705 \nL 74.744082 142.402698 \nL 74.837382 142.116788 \nL 75.126425 141.946543 \nL 75.559493 141.965031 \nL 75.911748 142.193404 \nL 76.029796 142.524158 \nL 75.901935 142.781438 \nL 75.604194 142.917651 \nL 75.188566 142.869379 \nL 74.870922 142.627389 \nL 74.794836 142.301092 \nL 74.955795 142.064257 \nL 75.320523 141.959691 \nL 75.713234 142.070973 \nL 75.957929 142.342122 \nL 75.950971 142.649172 \nL 75.74226 142.84029 \nL 75.369004 142.885071 \nL 75.012789 142.729061 \nL 74.833667 142.442472 \nL 74.888547 142.186934 \nL 75.164822 142.00945 \nL 75.541412 142.027204 \nL 75.872268 142.260739 \nL 75.942404 142.550967 \nL 75.771488 142.785241 \nL 75.438027 142.861743 \nL 75.054409 142.721774 \nL 74.874992 142.458547 \nL 74.934389 142.187884 \nL 75.20283 142.03322 \nL 75.596191 142.079085 \nL 75.870608 142.322781 \nL 75.891574 142.592794 \nL 75.694536 142.788888 \nL 75.326285 142.817729 \nL 75.002922 142.632647 \nL 74.90643 142.338661 \nL 75.057665 142.121974 \nL 75.360225 142.050297 \nL 75.706854 142.176005 \nL 75.874443 142.443236 \nL 75.798921 142.677512 \nL 75.54747 142.801249 \nL 75.196229 142.744559 \nL 74.962701 142.515241 \nL 74.978192 142.243832 \nL 75.194842 142.093477 \nL 75.536607 142.111911 \nL 75.810105 142.339442 \nL 75.814323 142.601087 \nL 75.588269 142.766331 \nL 75.259978 142.745306 \nL 74.998058 142.522903 \nL 74.999685 142.268208 \nL 75.22642 142.112003 \nL 75.578553 142.155467 \nL 75.800031 142.388236 \nL 75.763381 142.625974 \nL 75.525143 142.754001 \nL 75.189333 142.686488 \nL 75.001372 142.448194 \nL 75.068465 142.223955 \nL 75.320446 142.122758 \nL 75.6383 142.217279 \nL 75.786009 142.457638 \nL 75.691169 142.661541 \nL 75.402879 142.734329 \nL 75.095743 142.58064 \nL 75.032748 142.333956 \nL 75.194634 142.17087 \nL 75.498636 142.168781 \nL 75.739156 142.371996 \nL 75.714676 142.602702 \nL 75.476673 142.715759 \nL 75.165874 142.61901 \nL 75.050182 142.373827 \nL 75.196924 142.193454 \nL 75.478744 142.182517 \nL 75.711432 142.365948 \nL 75.699531 142.582959 \nL 75.484016 142.695857 \nL 75.19129 142.614207 \nL 75.072569 142.387863 \nL 75.20013 142.214561 \nL 75.487446 142.204103 \nL 75.703237 142.402774 \nL 75.658317 142.598466 \nL 75.411756 142.678761 \nL 75.143422 142.541527 \nL 75.114093 142.322712 \nL 75.293426 142.203792 \nL 75.582713 142.272405 \nL 75.68927 142.494002 \nL 75.539739 142.648363 \nL 75.256704 142.615904 \nL 75.114425 142.411443 \nL 75.227397 142.242555 \nL 75.499877 142.243374 \nL 75.668667 142.426838 \nL 75.593826 142.603115 \nL 75.339623 142.634234 \nL 75.14031 142.457117 \nL 75.198371 142.280757 \nL 75.440604 142.238968 \nL 75.643401 142.402277 \nL 75.587442 142.586875 \nL 75.353122 142.623422 \nL 75.160054 142.463258 \nL 75.21948 142.285407 \nL 75.448663 142.255049 \nL 75.633678 142.42916 \nL 75.552346 142.591162 \nL 75.307772 142.593947 \nL 75.168136 142.406255 \nL 75.286165 142.268292 \nL 75.524744 142.302967 \nL 75.614373 142.496091 \nL 75.468025 142.605098 \nL 75.232464 142.526698 \nL 75.211004 142.335083 \nL 75.407766 142.271137 \nL 75.599894 142.417054 \nL 75.53116 142.571468 \nL 75.302627 142.565023 \nL 75.202595 142.382768 \nL 75.349179 142.280288 \nL 75.565131 142.374467 \nL 75.550205 142.542705 \nL 75.345654 142.572113 \nL 75.212185 142.403957 \nL 75.330482 142.293781 \nL 75.5413 142.362489 \nL 75.544208 142.531533 \nL 75.35584 142.56505 \nL 75.224217 142.41135 \nL 75.342511 142.301999 \nL 75.543957 142.383176 \nL 75.520337 142.536773 \nL 75.32527 142.542907 \nL 75.24585 142.376387 \nL 75.407541 142.311379 \nL 75.554817 142.444284 \nL 75.451061 142.55449 \nL 75.262131 142.474455 \nL 75.305534 142.333055 \nL 75.502892 142.364688 \nL 75.519299 142.510609 \nL 75.511909 142.517631 \nL 75.333835 142.528392 \nL 75.266038 142.383346 \nL 75.270789 142.375169 \nL 75.43063 142.333095 \nL 75.531423 142.470663 \nL 75.528459 142.479146 \nL 75.386735 142.538409 \nL 75.267896 142.407031 \nL 75.390459 142.332996 \nL 75.524887 142.456283 \nL 75.40307 142.533512 \nL 75.276013 142.41261 \nL 75.396535 142.340338 \nL 75.515733 142.45903 \nL 75.513928 142.466635 \nL 75.377556 142.522676 \nL 75.286905 142.402773 \nL 75.29324 142.388952 \nL 75.439242 142.357651 \nL 75.502021 142.474973 \nL 75.483288 142.498382 \nL 75.319114 142.484256 \nL 75.31186 142.377615 \nL 75.345601 142.357797 \nL 75.499386 142.428858 \nL 75.439091 142.512501 \nL 75.405401 142.515195 \nL 75.298722 142.41933 \nL 75.304 142.40034 \nL 75.442075 142.371527 \nL 75.488301 142.470254 \nL 75.453799 142.501525 \nL 75.30933 142.448317 \nL 75.307284 142.442058 \nL 75.360041 142.365663 \nL 75.398167 142.36351 \nL 75.486973 142.45416 \nL 75.469041 142.484899 \nL 75.326491 142.466733 \nL 75.322555 142.461351 \nL 75.341206 142.378734 \nL 75.39479 142.36801 \nL 75.481411 142.450354 \nL 75.461837 142.483605 \nL 75.329278 142.461913 \nL 75.32303 142.451533 \nL 75.353465 142.378427 \nL 75.405481 142.373935 \nL 75.475313 142.452071 \nL 75.434122 142.492353 \nL 75.323685 142.437571 \nL 75.327271 142.408078 \nL 75.432258 142.38746 \nL 75.452012 142.401606 \nL 75.457062 142.474177 \nL 75.380792 142.487543 \nL 75.329554 142.416211 \nL 75.464009 142.454528 \nL 75.397493 142.439552 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9c733fd5d2\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.556634pt\" version=\"1.1\" viewBox=\"0 0 293.686304 285.556634\" width=\"293.686304pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:53:50.901508</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.556634 \nL 293.686304 285.556634 \nL 293.686304 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.578047 212.03611 \nL 127.75488 137.692794 \nL 127.066072 31.12639 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 64.26459 219.772135 \nL 150.165169 144.20658 \nL 150.437516 37.05037 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 88.359183 227.641429 \nL 172.929338 150.823225 \nL 174.194068 43.071963 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 112.87246 235.647465 \nL 196.055833 157.545184 \nL 198.345326 49.193603 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 137.815431 243.79384 \nL 219.553377 164.374992 \nL 222.90121 55.417804 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 163.199493 252.084274 \nL 243.430969 171.315266 \nL 247.871974 61.747165 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.337272 211.388652 \nL 39.056334 213.333808 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.50086 235.374498)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 65.01322 219.113576 \nL 62.764085 221.092109 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(49.393091 243.274494)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 89.096738 226.97148 \nL 86.880847 228.984256 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(77.703931 251.311099)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 113.598442 234.965828 \nL 111.417294 237.013745 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(102.245674 259.487888)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 138.529319 243.100206 \nL 136.384479 245.184192 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(124.038016 267.808559)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 163.900744 251.378325 \nL 161.793844 253.499341 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(149.454959 276.276946)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_8\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 32.782819 87.034514 \nL 37.676501 198.993897 \nL 186.194576 246.851596 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 47.410588 76.359834 \nL 51.604213 187.319412 \nL 198.813893 233.901073 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.643816 65.973073 \nL 65.172389 175.946298 \nL 211.090462 221.302293 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 75.498252 55.862736 \nL 78.394775 164.863032 \nL 223.03806 209.041119 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 88.98882 46.017935 \nL 91.284421 154.058675 \nL 234.669735 197.104158 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.129667 36.428343 \nL 103.853734 143.522828 \nL 245.997855 185.47872 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 184.94328 246.448385 \nL 188.700391 247.659057 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(188.470258 267.813661)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 197.574482 233.508885 \nL 201.295863 234.686445 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −5 -->\n     <g transform=\"translate(204.101535 254.671435)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 209.862756 220.920683 \nL 213.548949 222.06647 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(220.403059 241.886366)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.821881 208.669664 \nL 225.473423 209.784946 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 5 -->\n     <g transform=\"translate(232.190002 229.444089)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 233.464907 196.742458 \nL 237.08233 197.828439 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 10 -->\n     <g transform=\"translate(240.483844 217.331002)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_14\">\n     <path d=\"M 244.804203 185.126396 \nL 248.388033 186.184216 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 15 -->\n     <g transform=\"translate(251.6593 205.53421)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_15\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.057306 156.004408 \nL 114.960381 115.618273 \nL 26.355376 188.2209 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.842543 138.85684 \nL 114.769563 99.024251 \nL 25.509253 170.650597 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.63875 121.469726 \nL 114.576208 82.209577 \nL 24.650855 152.825403 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.446157 103.83801 \nL 114.380264 65.169823 \nL 23.779913 134.739729 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.265004 85.956495 \nL 114.18168 47.900437 \nL 22.89615 116.387825 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 261.095534 67.819834 \nL 113.980402 30.396747 \nL 21.999282 97.763768 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 255.864289 155.665334 \nL 259.4462 156.683368 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 5 -->\n     <g transform=\"translate(272.263115 161.035175)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 256.640939 138.522304 \nL 260.248652 139.526719 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 10 -->\n     <g transform=\"translate(269.991865 143.922019)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 257.428434 121.139889 \nL 261.062324 122.130202 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 15 -->\n     <g transform=\"translate(270.914539 126.570529)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 258.227002 103.513037 \nL 261.887451 104.488752 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 20 -->\n     <g transform=\"translate(271.850152 108.975693)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_18\">\n    <g id=\"line2d_21\">\n     <path d=\"M 259.03688 85.636558 \nL 262.724278 86.597159 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- 25 -->\n     <g transform=\"translate(272.79898 91.132353)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_19\">\n    <g id=\"line2d_22\">\n     <path d=\"M 259.858309 67.505109 \nL 263.573056 68.450065 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_19\">\n     <!-- 30 -->\n     <g transform=\"translate(273.761304 73.035209)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_23\">\n    <path clip-path=\"url(#pf6771b3e79)\" d=\"M 129.591127 193.835773 \nL 128.98118 192.681085 \nL 128.941783 192.297243 \nL 129.21091 191.739347 \nL 129.819045 191.323698 \nL 131.23042 190.7617 \nL 146.049714 185.800389 \nL 152.764853 183.168216 \nL 158.310835 180.790434 \nL 164.85315 177.74246 \nL 172.498151 173.835823 \nL 176.757039 171.491503 \nL 181.310329 168.845922 \nL 186.15209 165.867427 \nL 191.266767 162.524854 \nL 196.626311 158.789437 \nL 202.186849 154.637442 \nL 207.88498 150.053727 \nL 213.633845 145.036245 \nL 219.319371 139.601526 \nL 224.797173 133.790927 \nL 229.890926 127.67712 \nL 234.393337 121.369909 \nL 238.070993 115.019988 \nL 240.674433 108.818676 \nL 241.954649 102.991493 \nL 241.686191 97.783653 \nL 239.695637 93.436838 \nL 235.891885 90.158779 \nL 230.292446 88.090517 \nL 223.03846 87.278952 \nL 214.392084 87.663363 \nL 204.713517 89.081932 \nL 194.42087 91.298548 \nL 183.941632 94.0431 \nL 173.666896 97.053956 \nL 163.917761 100.111559 \nL 146.844716 105.794291 \nL 133.603474 110.52292 \nL 128.411726 112.53954 \nL 124.0901 114.371266 \nL 120.552459 116.060004 \nL 117.705329 117.645181 \nL 115.454631 119.160561 \nL 113.71015 120.632966 \nL 112.388264 122.082278 \nL 111.41343 123.522144 \nL 110.71879 124.960987 \nL 110.246181 126.403093 \nL 109.945757 127.849686 \nL 109.699851 130.75108 \nL 109.778127 135.078344 \nL 109.970754 140.659466 \nL 109.869751 144.614952 \nL 109.624938 147.121 \nL 109.219727 149.516705 \nL 108.64321 151.800616 \nL 107.885129 153.972843 \nL 106.933904 156.033987 \nL 105.775494 157.984214 \nL 104.392773 159.8224 \nL 102.765289 161.545258 \nL 100.86931 163.146378 \nL 98.678183 164.615093 \nL 96.163092 165.935078 \nL 93.294362 167.082629 \nL 90.043604 168.024612 \nL 86.386982 168.716084 \nL 82.310107 169.097756 \nL 77.814991 169.093689 \nL 75.417997 168.918354 \nL 72.929579 168.609967 \nL 70.359288 168.154125 \nL 67.719969 167.53563 \nL 65.028236 166.738787 \nL 62.304957 165.747827 \nL 59.575688 164.5475 \nL 56.871008 163.123827 \nL 54.226718 161.465024 \nL 51.68381 159.562636 \nL 49.288139 157.412804 \nL 47.089729 155.017647 \nL 45.141635 152.386651 \nL 43.498296 149.537963 \nL 42.213406 146.4994 \nL 41.33735 143.309001 \nL 40.914277 140.014941 \nL 40.9791 136.674632 \nL 41.554608 133.3529 \nL 42.649079 130.119317 \nL 44.254633 127.044735 \nL 46.346677 124.197368 \nL 48.884503 121.638824 \nL 51.813137 119.420463 \nL 55.066221 117.580569 \nL 58.569667 116.142608 \nL 62.245701 115.114797 \nL 66.016855 114.490873 \nL 69.809577 114.251923 \nL 73.557147 114.368938 \nL 77.201756 114.805728 \nL 80.695728 115.521859 \nL 84.001915 116.475322 \nL 87.093428 117.624722 \nL 89.952848 118.930992 \nL 92.571111 120.358498 \nL 94.9462 121.875695 \nL 97.081784 123.455389 \nL 98.985909 125.074668 \nL 100.669781 126.714655 \nL 102.146715 128.360117 \nL 103.43123 129.999024 \nL 104.538328 131.622077 \nL 105.482923 133.222273 \nL 106.941352 136.335115 \nL 107.910651 139.312934 \nL 108.477136 142.146436 \nL 108.708092 144.835139 \nL 108.652948 147.3831 \nL 108.345489 149.796229 \nL 107.806351 152.080669 \nL 107.045309 154.241804 \nL 106.063219 156.283608 \nL 104.853562 158.20813 \nL 103.403659 160.014967 \nL 101.695652 161.700631 \nL 99.707413 163.257724 \nL 97.413526 164.673859 \nL 94.78655 165.930271 \nL 91.798822 167.000084 \nL 88.42512 167.846233 \nL 84.646546 168.419144 \nL 80.456154 168.6544 \nL 78.209482 168.620749 \nL 75.866708 168.470927 \nL 73.434197 168.192124 \nL 70.920974 167.770584 \nL 68.339171 167.191779 \nL 65.704491 166.440686 \nL 63.036661 165.502184 \nL 60.359848 164.361589 \nL 57.70299 163.005352 \nL 55.099996 161.421924 \nL 52.589744 159.602796 \nL 50.215816 157.543688 \nL 48.02588 155.245839 \nL 46.070665 152.717329 \nL 44.402489 149.974307 \nL 43.073309 147.042005 \nL 42.132331 143.955335 \nL 41.623334 140.758903 \nL 41.581787 137.506326 \nL 42.032108 134.258655 \nL 42.985276 131.082017 \nL 44.437115 128.044471 \nL 46.367536 125.212388 \nL 48.740864 122.646685 \nL 51.507309 120.399286 \nL 54.605478 118.51024 \nL 57.965705 117.005833 \nL 61.513777 115.897836 \nL 65.174788 115.183961 \nL 68.876645 114.849333 \nL 72.553058 114.86874 \nL 76.14572 115.209307 \nL 79.605716 115.83328 \nL 82.894118 116.700647 \nL 85.98191 117.771349 \nL 88.849396 119.007033 \nL 91.485216 120.372289 \nL 93.885166 121.835424 \nL 96.05091 123.368794 \nL 97.98872 124.948875 \nL 99.708284 126.556078 \nL 101.221654 128.174415 \nL 102.542335 129.791112 \nL 103.684535 131.396164 \nL 104.662573 132.98192 \nL 106.18136 136.074312 \nL 107.20098 139.039802 \nL 107.807372 141.866253 \nL 108.068297 144.551129 \nL 108.034063 147.097034 \nL 107.739474 149.508837 \nL 107.20616 151.79191 \nL 106.444808 153.95101 \nL 105.457083 155.989561 \nL 104.237201 157.909071 \nL 102.773188 159.708562 \nL 101.047922 161.383896 \nL 99.040123 162.926928 \nL 96.725428 164.324411 \nL 94.077771 165.55659 \nL 91.071327 166.595503 \nL 87.683338 167.40295 \nL 83.898172 167.928287 \nL 79.713122 168.106322 \nL 77.47522 168.040359 \nL 75.146289 167.855829 \nL 72.733533 167.540097 \nL 70.246861 167.079692 \nL 67.699332 166.46052 \nL 65.10757 165.668169 \nL 62.492202 164.688331 \nL 59.8782 163.50737 \nL 57.295167 162.113041 \nL 54.777436 160.495364 \nL 52.364004 158.647652 \nL 50.09814 156.567678 \nL 48.026693 154.258889 \nL 46.198966 151.73164 \nL 44.665172 149.004279 \nL 43.474472 146.103979 \nL 42.672617 143.067138 \nL 42.29935 139.939192 \nL 42.385731 136.773707 \nL 42.951618 133.630699 \nL 44.003591 130.574163 \nL 45.533576 127.669019 \nL 47.518395 124.977617 \nL 49.92036 122.556251 \nL 52.68893 120.451972 \nL 55.763259 118.700108 \nL 59.07543 117.322718 \nL 62.554031 116.328177 \nL 66.127705 115.711792 \nL 69.728377 115.457372 \nL 73.293901 115.5394 \nL 76.76999 115.925604 \nL 80.11139 116.57953 \nL 83.282324 117.462916 \nL 86.256349 118.537721 \nL 89.015728 119.767691 \nL 91.550483 121.119452 \nL 93.85725 122.563157 \nL 95.938086 124.07281 \nL 97.799283 125.626274 \nL 99.45026 127.205084 \nL 100.902587 128.79416 \nL 102.16914 130.38141 \nL 103.263419 131.957344 \nL 104.198983 133.514665 \nL 105.646142 136.553071 \nL 106.607149 139.469028 \nL 107.162941 142.250333 \nL 107.377185 144.893907 \nL 107.296958 147.401571 \nL 106.954578 149.777307 \nL 106.369768 152.025543 \nL 105.551763 154.150054 \nL 104.501123 156.153202 \nL 103.211247 158.035292 \nL 101.669624 159.793961 \nL 99.85891 161.423416 \nL 97.758018 162.913511 \nL 95.343353 164.248564 \nL 92.590437 165.405898 \nL 89.476198 166.354068 \nL 85.982226 167.050894 \nL 82.099422 167.441399 \nL 77.834392 167.456066 \nL 75.566956 167.296552 \nL 73.217985 167.010132 \nL 70.796879 166.584047 \nL 68.315988 166.004958 \nL 65.791029 165.259203 \nL 63.241464 164.333215 \nL 60.69084 163.214032 \nL 58.16705 161.889946 \nL 55.702463 160.351325 \nL 53.333837 158.591551 \nL 51.102025 156.60809 \nL 49.051321 154.403621 \nL 47.228493 151.987185 \nL 45.681368 149.375213 \nL 44.45706 146.592345 \nL 43.599821 143.671841 \nL 43.148646 140.655529 \nL 43.134786 137.593054 \nL 43.57934 134.540452 \nL 44.491243 131.557979 \nL 45.865839 128.707375 \nL 47.684268 126.04868 \nL 49.91379 123.63696 \nL 52.509106 121.519281 \nL 55.414564 119.732193 \nL 58.567027 118.300111 \nL 61.899134 117.234605 \nL 65.342656 116.534741 \nL 68.831608 116.18829 \nL 72.304893 116.17363 \nL 75.708305 116.462005 \nL 78.995854 117.019963 \nL 82.130392 117.811614 \nL 85.083656 118.800656 \nL 87.835817 119.951957 \nL 90.374695 121.232723 \nL 92.694749 122.613275 \nL 94.795973 124.067448 \nL 96.682772 125.572688 \nL 98.362899 127.109978 \nL 99.846491 128.663591 \nL 101.145233 130.220763 \nL 102.271649 131.771327 \nL 103.238536 133.307345 \nL 104.743708 136.313051 \nL 105.754336 139.206201 \nL 106.350147 141.971429 \nL 106.594695 144.60328 \nL 106.53556 147.101802 \nL 106.205854 149.469656 \nL 105.626204 151.710245 \nL 104.80675 153.826494 \nL 103.748938 155.81999 \nL 102.447045 157.690298 \nL 100.88947 159.434261 \nL 99.059898 161.04523 \nL 96.938472 162.512103 \nL 94.503153 163.818124 \nL 91.731491 164.939451 \nL 88.603071 165.843442 \nL 85.102959 166.486776 \nL 81.226524 166.813621 \nL 76.98598 166.754232 \nL 74.739643 166.554005 \nL 72.418904 166.224735 \nL 70.03414 165.754075 \nL 67.598695 165.129259 \nL 65.129263 164.33741 \nL 62.646213 163.365977 \nL 60.173879 162.203255 \nL 57.740741 160.839081 \nL 55.379464 159.265635 \nL 53.126724 157.478365 \nL 51.022789 155.477012 \nL 49.110804 153.266659 \nL 47.435702 150.858758 \nL 46.042766 148.27201 \nL 44.975823 145.532977 \nL 44.275178 142.676304 \nL 43.975316 139.744431 \nL 44.102629 136.786655 \nL 44.673294 133.85759 \nL 45.691574 131.014951 \nL 47.148738 128.316849 \nL 49.022764 125.818841 \nL 51.278948 123.570937 \nL 53.871367 121.61492 \nL 56.74512 119.982284 \nL 59.839107 118.692919 \nL 63.089098 117.754774 \nL 66.430794 117.164361 \nL 69.80261 116.908043 \nL 73.147996 116.963869 \nL 76.417157 117.303729 \nL 79.568135 117.895538 \nL 82.567274 118.705304 \nL 85.389176 119.698916 \nL 88.016221 120.843527 \nL 90.437796 122.108587 \nL 92.649348 123.466483 \nL 94.65135 124.89288 \nL 96.448276 126.366802 \nL 98.047615 127.870525 \nL 99.458999 129.389371 \nL 100.693438 130.911379 \nL 101.762673 132.426992 \nL 103.453193 135.41076 \nL 104.622286 138.299688 \nL 105.350995 141.071697 \nL 105.705875 143.716718 \nL 105.738181 146.23172 \nL 105.484775 148.617342 \nL 104.969799 150.875695 \nL 104.20655 153.008871 \nL 103.19927 155.017936 \nL 101.944731 156.902131 \nL 100.433605 158.658131 \nL 98.651712 160.279252 \nL 96.581275 161.75451 \nL 94.20233 163.067492 \nL 91.494524 164.19497 \nL 88.439545 165.105323 \nL 85.02448 165.756815 \nL 81.246449 166.095923 \nL 77.118823 166.056156 \nL 74.934475 165.869813 \nL 72.67926 165.557988 \nL 70.363281 165.109056 \nL 67.999446 164.51103 \nL 65.603799 163.751873 \nL 63.195841 162.819872 \nL 60.798779 161.704167 \nL 58.439679 160.395359 \nL 56.149503 158.886274 \nL 53.962937 157.172798 \nL 51.917999 155.254829 \nL 50.055369 153.137221 \nL 48.417407 150.830738 \nL 47.04681 148.352838 \nL 45.985001 145.728258 \nL 45.270196 142.989216 \nL 44.935334 140.175174 \nL 45.005976 137.332024 \nL 45.498352 134.51071 \nL 46.417744 131.76525 \nL 47.757436 129.150319 \nL 49.49836 126.718576 \nL 51.60954 124.517895 \nL 54.049325 122.588888 \nL 56.767331 120.962906 \nL 59.706939 119.660742 \nL 62.808062 118.692132 \nL 66.009972 118.056084 \nL 69.253929 117.741898 \nL 72.485413 117.730771 \nL 75.655824 117.99769 \nL 78.723637 118.513434 \nL 81.654962 119.246504 \nL 84.42363 120.164839 \nL 87.010846 121.237167 \nL 89.404565 122.434066 \nL 91.598655 123.728649 \nL 93.591966 125.096956 \nL 95.387382 126.518123 \nL 96.990898 127.97433 \nL 98.410777 129.450647 \nL 99.656811 130.934766 \nL 100.739692 132.416731 \nL 102.460222 135.344223 \nL 103.658676 138.188761 \nL 104.412673 140.925252 \nL 104.786824 143.541077 \nL 104.831484 146.03113 \nL 104.583285 148.394389 \nL 104.06656 150.631575 \nL 103.295041 152.743601 \nL 102.273581 154.730452 \nL 100.999694 156.590323 \nL 99.464963 158.318807 \nL 97.656346 159.908062 \nL 95.557523 161.34585 \nL 93.15045 162.614369 \nL 90.417314 163.688925 \nL 87.343158 164.536411 \nL 83.919455 165.113738 \nL 80.148932 165.366441 \nL 76.051916 165.227923 \nL 73.894073 164.987926 \nL 71.674323 164.620038 \nL 69.403944 164.113177 \nL 67.097017 163.456115 \nL 64.770735 162.637808 \nL 62.445645 161.647818 \nL 60.145822 160.476862 \nL 57.898953 159.117422 \nL 55.736249 157.564512 \nL 53.692178 155.816488 \nL 51.803951 153.875913 \nL 50.110758 151.750439 \nL 48.652689 149.45358 \nL 47.469353 147.00534 \nL 46.598269 144.432572 \nL 46.073006 141.76894 \nL 45.921284 139.05447 \nL 46.163089 136.334527 \nL 46.809038 133.658322 \nL 47.859113 131.0769 \nL 49.302001 128.640835 \nL 51.115059 126.397705 \nL 53.265045 124.389714 \nL 55.70951 122.651587 \nL 58.398795 121.208989 \nL 61.278414 120.07763 \nL 64.291621 119.263089 \nL 67.381937 118.761352 \nL 70.495432 118.559926 \nL 73.582612 118.639395 \nL 76.599822 118.975174 \nL 79.510118 119.539329 \nL 82.283657 120.302254 \nL 84.897664 121.234159 \nL 87.336043 122.306225 \nL 89.588744 123.491466 \nL 91.650991 124.765313 \nL 93.522409 126.105908 \nL 95.206175 127.494221 \nL 96.708182 128.913992 \nL 98.036294 130.351563 \nL 99.199676 131.795666 \nL 100.208243 133.237135 \nL 101.801676 136.084414 \nL 102.895741 138.851985 \nL 103.561233 141.515874 \nL 103.856818 144.063458 \nL 103.827965 146.488978 \nL 103.507452 148.790372 \nL 102.916672 150.967105 \nL 102.067202 153.01867 \nL 100.962398 154.943472 \nL 99.598883 156.737924 \nL 97.967941 158.39559 \nL 96.056898 159.906281 \nL 93.850613 161.255029 \nL 91.333257 162.420881 \nL 88.490604 163.375582 \nL 85.313073 164.082132 \nL 81.799796 164.493478 \nL 77.963965 164.551579 \nL 73.839641 164.187467 \nL 71.687629 163.822948 \nL 69.489898 163.323125 \nL 67.260338 162.677615 \nL 65.015751 161.876304 \nL 62.77607 160.909746 \nL 60.564502 159.769664 \nL 58.407568 158.449554 \nL 56.334987 156.945367 \nL 54.37942 155.256252 \nL 52.575942 153.385349 \nL 50.961321 151.340564 \nL 49.572994 149.135252 \nL 48.447804 146.788763 \nL 47.620505 144.326702 \nL 47.122085 141.780901 \nL 46.978029 139.188935 \nL 47.206644 136.593208 \nL 47.817576 134.039536 \nL 48.8107 131.575377 \nL 50.175525 129.247717 \nL 51.891166 127.100838 \nL 53.926984 125.17415 \nL 56.243834 123.500298 \nL 58.795853 122.103728 \nL 61.532568 120.999827 \nL 64.401235 120.194737 \nL 67.349118 119.685764 \nL 70.325574 119.462337 \nL 73.283823 119.507352 \nL 76.182259 119.798739 \nL 78.98533 120.311075 \nL 81.663953 121.017149 \nL 84.195548 121.889292 \nL 86.563741 122.900506 \nL 88.757844 124.025294 \nL 90.772173 125.240215 \nL 92.605272 126.524256 \nL 94.259145 127.858943 \nL 95.738483 129.228352 \nL 97.049971 130.618976 \nL 98.201658 132.019537 \nL 99.202433 133.42077 \nL 100.788379 136.196751 \nL 101.880832 138.903616 \nL 102.546116 141.515266 \nL 102.839848 144.017014 \nL 102.805565 146.401208 \nL 102.47496 148.664105 \nL 101.868947 150.803666 \nL 100.999086 152.817995 \nL 99.869076 154.704159 \nL 98.476219 156.457239 \nL 96.812835 158.069405 \nL 94.867715 159.528994 \nL 92.627725 160.819453 \nL 90.079753 161.918188 \nL 87.213181 162.795284 \nL 84.023141 163.412264 \nL 80.514769 163.72102 \nL 76.708697 163.66334 \nL 74.70634 163.476266 \nL 72.647783 163.171604 \nL 70.543142 162.739876 \nL 68.404911 162.171516 \nL 66.248221 161.457144 \nL 64.091018 160.587926 \nL 61.954229 159.555999 \nL 59.861807 158.354984 \nL 57.840672 156.980592 \nL 55.920492 155.43127 \nL 54.133313 153.708916 \nL 52.51292 151.819561 \nL 51.094026 149.774012 \nL 49.911187 147.588403 \nL 48.99753 145.284497 \nL 48.383283 142.889768 \nL 48.094241 140.437102 \nL 48.150216 137.964135 \nL 48.563619 135.512153 \nL 49.338332 133.124641 \nL 50.46894 130.845488 \nL 51.940489 128.717041 \nL 53.728788 126.778117 \nL 55.801278 125.062177 \nL 58.118391 123.595829 \nL 60.635341 122.397796 \nL 63.304126 121.47844 \nL 66.075601 120.839825 \nL 68.901487 120.476344 \nL 71.736127 120.3757 \nL 74.537895 120.520222 \nL 77.270239 120.888289 \nL 79.902294 121.455754 \nL 82.409137 122.197276 \nL 84.771696 123.087444 \nL 86.976417 124.101692 \nL 89.014743 125.216974 \nL 90.882468 126.412205 \nL 92.579039 127.668519 \nL 94.106863 128.96936 \nL 95.470625 130.300435 \nL 96.676684 131.649623 \nL 97.73253 133.006768 \nL 99.426484 135.71297 \nL 100.619376 138.369378 \nL 101.374446 140.944571 \nL 101.746368 143.419617 \nL 101.779109 145.783629 \nL 101.505601 148.030416 \nL 100.948436 150.156096 \nL 100.121062 152.157374 \nL 99.029166 154.030243 \nL 97.672103 155.768932 \nL 96.044327 157.364956 \nL 94.136883 158.806166 \nL 91.939074 160.075722 \nL 89.440445 161.151004 \nL 86.633276 162.002452 \nL 83.515822 162.592471 \nL 80.096466 162.874576 \nL 76.398955 162.793207 \nL 72.468741 162.284685 \nL 70.438257 161.8488 \nL 68.380102 161.280188 \nL 66.309244 160.570414 \nL 64.243267 159.711661 \nL 62.202487 158.697162 \nL 60.209964 157.521661 \nL 58.291417 156.181979 \nL 56.474983 154.677607 \nL 54.790801 153.011327 \nL 53.270438 151.189828 \nL 51.946071 149.224254 \nL 50.849499 147.130635 \nL 50.01095 144.930136 \nL 49.457755 142.649044 \nL 49.212977 140.318455 \nL 49.29403 137.973621 \nL 49.711464 135.652919 \nL 50.467969 133.396522 \nL 51.557761 131.244786 \nL 52.966408 129.236501 \nL 54.671132 127.40715 \nL 56.641611 125.787318 \nL 58.841224 124.40135 \nL 61.228626 123.266479 \nL 63.759553 122.392396 \nL 66.388664 121.781306 \nL 69.071328 121.428453 \nL 71.765199 121.323004 \nL 74.431498 121.449168 \nL 77.035968 121.787461 \nL 79.549454 122.315976 \nL 81.948165 123.011551 \nL 84.213637 123.850822 \nL 86.33246 124.811036 \nL 88.295828 125.870692 \nL 90.098994 127.009983 \nL 91.740646 128.211042 \nL 93.222282 129.458056 \nL 94.547606 130.737267 \nL 95.721964 132.036894 \nL 97.644451 134.659179 \nL 99.048096 137.263886 \nL 99.992673 139.81032 \nL 100.532808 142.272456 \nL 100.714507 144.634179 \nL 100.57385 146.885593 \nL 100.137043 149.020284 \nL 99.421237 151.033284 \nL 98.435709 152.919589 \nL 97.183204 154.672959 \nL 95.661343 156.284891 \nL 93.864114 157.743659 \nL 91.783506 159.033337 \nL 89.411445 160.132767 \nL 86.742153 161.014515 \nL 83.775161 161.643892 \nL 80.519107 161.978216 \nL 76.99649 161.966655 \nL 73.249347 161.551118 \nL 71.311623 161.172309 \nL 69.345633 160.668852 \nL 67.364969 160.033024 \nL 65.385589 159.257635 \nL 63.425904 158.33639 \nL 61.506818 157.264303 \nL 59.651649 156.038178 \nL 57.885958 154.657133 \nL 56.237196 153.123152 \nL 54.734235 151.441613 \nL 53.406679 149.621806 \nL 52.284024 147.677334 \nL 51.394645 145.626377 \nL 50.76465 143.491746 \nL 50.416652 141.300691 \nL 50.368563 139.084413 \nL 50.632439 136.877258 \nL 51.213528 134.71564 \nL 52.109583 132.636674 \nL 53.310567 130.676712 \nL 54.798733 128.869751 \nL 56.549157 127.245968 \nL 58.53069 125.830449 \nL 60.707218 124.642206 \nL 63.039182 123.693607 \nL 65.485206 122.990233 \nL 68.003729 122.53113 \nL 70.554498 122.309416 \nL 73.099863 122.313165 \nL 75.605788 122.526487 \nL 78.042552 122.930603 \nL 80.385157 123.504973 \nL 82.613447 124.228274 \nL 84.711997 125.079256 \nL 86.66981 126.037399 \nL 88.47989 127.083433 \nL 90.138722 128.199664 \nL 91.645726 129.370166 \nL 93.002697 130.580846 \nL 94.213284 131.819437 \nL 96.216295 134.339777 \nL 97.70394 136.86513 \nL 98.730023 139.349859 \nL 99.345779 141.763575 \nL 99.595745 144.08653 \nL 99.515861 146.305913 \nL 99.133068 148.413022 \nL 98.465803 150.40111 \nL 97.524976 152.263785 \nL 96.315202 153.993728 \nL 94.836159 155.581625 \nL 93.084075 157.015175 \nL 91.053378 158.278136 \nL 88.738642 159.349352 \nL 86.136957 160.201801 \nL 83.250869 160.801765 \nL 80.092063 161.108303 \nL 76.685864 161.07329 \nL 73.076507 160.642559 \nL 71.216051 160.260854 \nL 69.332881 159.75867 \nL 67.440375 159.129163 \nL 65.554078 158.366095 \nL 63.691767 157.464165 \nL 61.873446 156.419409 \nL 60.121256 155.229623 \nL 58.459268 153.89484 \nL 56.913154 152.417806 \nL 55.509684 150.804456 \nL 54.276112 149.064335 \nL 53.239381 147.210914 \nL 52.425196 145.261803 \nL 51.857001 143.238733 \nL 51.554883 141.167341 \nL 51.534509 139.076685 \nL 51.806143 136.998509 \nL 52.373821 134.966244 \nL 53.234802 133.013803 \nL 54.379319 131.174266 \nL 55.790703 129.478505 \nL 57.445878 127.953922 \nL 59.31619 126.6233 \nL 61.368553 125.504001 \nL 63.566778 124.60746 \nL 65.873 123.939028 \nL 68.249123 123.498203 \nL 70.658151 123.279149 \nL 73.065327 123.27146 \nL 75.439054 123.461062 \nL 77.751546 123.831184 \nL 79.979213 124.363329 \nL 82.102804 125.038154 \nL 84.107338 125.836222 \nL 85.981862 126.738644 \nL 87.719091 127.727537 \nL 89.314976 128.786347 \nL 90.768208 129.900042 \nL 92.07974 131.055214 \nL 94.289994 133.444436 \nL 95.981455 135.877881 \nL 97.199992 138.300641 \nL 97.99319 140.674541 \nL 98.404945 142.973674 \nL 98.472494 145.180583 \nL 98.225199 147.283188 \nL 97.68449 149.272395 \nL 96.864486 151.140288 \nL 95.773012 152.878692 \nL 94.412842 154.477999 \nL 92.783111 155.926167 \nL 90.8809 157.207741 \nL 88.703088 158.302938 \nL 86.248571 159.186782 \nL 83.520978 159.828356 \nL 80.532023 160.190323 \nL 77.305531 160.229002 \nL 73.882135 159.895339 \nL 70.324406 159.137337 \nL 68.52194 158.583196 \nL 66.721747 157.904499 \nL 64.939816 157.096321 \nL 63.194139 156.154874 \nL 61.504641 155.077877 \nL 59.893029 153.864957 \nL 58.382515 152.518078 \nL 56.997427 151.041948 \nL 55.762677 149.444411 \nL 54.70312 147.736748 \nL 53.842744 145.933884 \nL 53.20382 144.054444 \nL 52.805948 142.120619 \nL 52.6651 140.157844 \nL 52.792719 138.194197 \nL 53.194944 136.259641 \nL 53.872021 134.385032 \nL 54.81795 132.601003 \nL 56.020468 130.936769 \nL 57.461308 129.418973 \nL 59.116806 128.070625 \nL 60.958767 126.910258 \nL 62.955549 125.951312 \nL 65.073293 125.201869 \nL 67.277187 124.66463 \nL 69.532698 124.337255 \nL 71.806673 124.212888 \nL 74.068289 124.280871 \nL 76.289766 124.527563 \nL 78.446857 124.937196 \nL 80.519128 125.4927 \nL 82.490014 126.176425 \nL 84.346711 126.97079 \nL 86.079949 127.858783 \nL 87.683642 128.824354 \nL 89.154498 129.852646 \nL 90.491588 130.930177 \nL 92.770046 133.186183 \nL 94.543181 135.512737 \nL 95.848431 137.850526 \nL 96.727815 140.15694 \nL 97.222027 142.402076 \nL 97.366902 144.565089 \nL 97.191692 146.63115 \nL 96.718593 148.589016 \nL 95.963068 150.429101 \nL 94.934674 152.142003 \nL 93.638171 153.717261 \nL 92.074868 155.14232 \nL 90.244168 156.401574 \nL 88.145371 157.475495 \nL 85.779838 158.339838 \nL 83.153599 158.965014 \nL 80.280516 159.315749 \nL 77.186033 159.351292 \nL 73.911465 159.026502 \nL 70.518536 158.294287 \nL 68.803623 157.761151 \nL 67.093634 157.109872 \nL 65.403715 156.336291 \nL 63.750795 155.437348 \nL 62.153511 154.411417 \nL 60.632034 153.258665 \nL 59.20782 151.981414 \nL 57.903246 150.584506 \nL 56.741115 149.075617 \nL 55.744074 147.465525 \nL 54.933906 145.768249 \nL 54.330761 144.001103 \nL 53.952323 142.184542 \nL 53.812979 140.341869 \nL 53.923027 138.498713 \nL 54.288021 136.682333 \nL 54.908225 134.92077 \nL 55.778347 133.241869 \nL 56.887487 131.672263 \nL 58.219366 130.236338 \nL 59.75284 128.955314 \nL 61.462632 127.846504 \nL 63.320271 126.922753 \nL 65.295148 126.192151 \nL 67.355621 125.658028 \nL 69.470104 125.319146 \nL 71.608056 125.170155 \nL 73.740835 125.202181 \nL 75.842373 125.403525 \nL 77.889659 125.760388 \nL 79.863013 126.257598 \nL 81.746202 126.879277 \nL 83.526387 127.609413 \nL 85.193946 128.432338 \nL 86.742206 129.333111 \nL 88.167115 130.297761 \nL 90.64156 132.368694 \nL 92.623211 134.557575 \nL 94.136906 136.796288 \nL 95.217015 139.033903 \nL 95.900505 141.233377 \nL 96.22231 143.368123 \nL 96.212673 145.418913 \nL 95.895924 147.371305 \nL 95.29028 149.213541 \nL 94.408291 150.9349 \nL 93.257725 152.524343 \nL 91.84273 153.969407 \nL 90.165243 155.255232 \nL 88.226651 156.363684 \nL 86.02976 157.272612 \nL 83.581152 157.955248 \nL 80.894014 158.379863 \nL 77.99145 158.509916 \nL 74.910254 158.304924 \nL 71.704935 157.722455 \nL 68.451521 156.721648 \nL 66.837163 156.053323 \nL 65.250419 155.268655 \nL 63.707773 154.365733 \nL 62.227146 153.344138 \nL 60.827698 152.20524 \nL 59.529553 150.952526 \nL 58.353402 149.591885 \nL 57.32004 148.131855 \nL 56.449798 146.583818 \nL 55.761886 144.962064 \nL 55.273679 143.283757 \nL 55.000007 141.568742 \nL 54.952428 139.839179 \nL 55.138583 138.119037 \nL 55.561664 136.433441 \nL 56.220032 134.807865 \nL 57.107052 133.267263 \nL 58.211137 131.835187 \nL 59.516034 130.532923 \nL 61.00134 129.378717 \nL 62.643192 128.387202 \nL 64.415128 127.568959 \nL 66.289015 126.930342 \nL 68.236025 126.473499 \nL 70.227562 126.196619 \nL 72.236102 126.094326 \nL 74.235916 126.158221 \nL 76.203628 126.377483 \nL 78.11861 126.739501 \nL 79.963206 127.230494 \nL 81.722825 127.836092 \nL 83.385869 128.541807 \nL 84.943592 129.333466 \nL 87.720832 131.121266 \nL 90.031342 133.102087 \nL 91.878765 135.195362 \nL 93.283819 137.337619 \nL 94.276063 139.480615 \nL 94.887745 141.588528 \nL 95.149652 143.634981 \nL 95.088675 145.600304 \nL 94.726675 147.469178 \nL 94.080269 149.228748 \nL 93.161245 150.86704 \nL 91.977406 152.37171 \nL 90.533718 153.728973 \nL 88.833717 154.922694 \nL 86.881206 155.9336 \nL 84.682264 156.738641 \nL 82.247638 157.310574 \nL 79.595545 157.617874 \nL 76.754886 157.625222 \nL 73.768755 157.294792 \nL 70.697934 156.588714 \nL 67.623894 155.473043 \nL 66.117229 154.753443 \nL 64.650431 153.92346 \nL 63.239838 152.982768 \nL 61.902894 151.932639 \nL 60.657897 150.776206 \nL 59.523691 149.518724 \nL 58.519226 148.167781 \nL 57.663085 146.733467 \nL 56.97293 145.228445 \nL 56.464875 143.667927 \nL 56.152868 142.06953 \nL 56.048046 140.452989 \nL 56.158183 138.839728 \nL 56.487177 137.252328 \nL 57.034695 135.713844 \nL 57.795994 134.247084 \nL 58.76188 132.873822 \nL 59.918926 131.614053 \nL 61.249835 130.485294 \nL 62.734009 129.502035 \nL 64.348242 128.675294 \nL 66.067515 128.012394 \nL 67.865828 127.516913 \nL 69.717038 127.188826 \nL 71.595618 127.024773 \nL 73.477343 127.018473 \nL 75.339841 127.161245 \nL 77.163006 127.442521 \nL 78.929279 127.850398 \nL 80.623774 128.372156 \nL 82.234313 128.994729 \nL 85.167666 130.490576 \nL 87.680683 132.239543 \nL 89.755877 134.155336 \nL 91.398142 136.166518 \nL 92.626398 138.216469 \nL 93.466694 140.261639 \nL 93.947068 142.269098 \nL 94.094126 144.21397 \nL 93.931052 146.07705 \nL 93.476745 147.842774 \nL 92.745716 149.497506 \nL 91.748576 151.028167 \nL 90.492907 152.421059 \nL 88.984445 153.660916 \nL 87.228543 154.730079 \nL 85.231928 155.607854 \nL 83.004786 156.270035 \nL 80.56319 156.688744 \nL 77.931906 156.832712 \nL 75.147437 156.668195 \nL 72.261152 156.160848 \nL 69.342104 155.278787 \nL 66.478895 153.9971 \nL 65.101344 153.201966 \nL 63.779777 152.303836 \nL 62.530346 151.304408 \nL 61.369886 150.207102 \nL 60.315614 149.017274 \nL 59.384735 147.742392 \nL 58.594016 146.392149 \nL 57.95929 144.978512 \nL 57.494904 143.515694 \nL 57.213181 142.019987 \nL 57.123874 140.509503 \nL 57.233676 139.003788 \nL 57.5458 137.523338 \nL 58.059689 136.089013 \nL 58.770851 134.721408 \nL 59.670856 133.440177 \nL 60.747516 132.263375 \nL 61.985205 131.20688 \nL 63.365363 130.283893 \nL 64.867075 129.504581 \nL 66.467768 128.87586 \nL 68.143939 128.401328 \nL 69.871864 128.081385 \nL 71.628284 127.913453 \nL 73.390995 127.892313 \nL 75.139356 128.010537 \nL 76.854669 128.258936 \nL 78.520439 128.62703 \nL 80.12252 129.103493 \nL 83.090924 130.334509 \nL 85.693016 131.858949 \nL 87.894066 133.590707 \nL 89.68441 135.45525 \nL 91.07182 137.39116 \nL 92.07461 139.349628 \nL 92.716064 141.292723 \nL 93.020426 143.19121 \nL 93.010286 145.022339 \nL 92.705163 146.76785 \nL 92.120953 148.412222 \nL 91.27007 149.941198 \nL 90.162031 151.340612 \nL 88.80444 152.595355 \nL 87.204242 153.688554 \nL 85.369277 154.60092 \nL 83.31014 155.310262 \nL 81.042335 155.791304 \nL 78.588737 156.015864 \nL 75.982287 155.953602 \nL 73.268769 155.573539 \nL 70.509319 154.846598 \nL 67.782238 153.749346 \nL 65.183348 152.268971 \nL 63.966304 151.385489 \nL 62.824096 150.409324 \nL 61.772274 149.34461 \nL 60.826539 148.197279 \nL 60.002381 146.975196 \nL 59.314666 145.688229 \nL 58.777194 144.348239 \nL 58.402204 142.969009 \nL 58.199921 141.566065 \nL 58.178091 140.156402 \nL 58.341569 138.758094 \nL 58.692012 137.389871 \nL 59.227664 136.070565 \nL 59.943253 134.818561 \nL 60.830062 133.651214 \nL 61.876102 132.584317 \nL 63.066456 131.631591 \nL 64.383733 130.804305 \nL 65.808593 130.110989 \nL 67.320372 129.557286 \nL 68.897696 129.145931 \nL 70.519107 128.87686 \nL 72.163636 128.74742 \nL 73.811315 128.752682 \nL 75.443593 128.885799 \nL 77.04366 129.138406 \nL 80.089812 129.963424 \nL 82.855952 131.145144 \nL 85.280693 132.599448 \nL 87.331096 134.247985 \nL 88.996568 136.022316 \nL 90.282288 137.865364 \nL 91.203173 139.73109 \nL 91.77899 141.583074 \nL 92.030783 143.392689 \nL 91.978515 145.137156 \nL 91.639764 146.79776 \nL 91.029233 148.358283 \nL 90.158863 149.803667 \nL 89.038419 151.118915 \nL 87.676424 152.288159 \nL 86.0814 153.293916 \nL 84.2634 154.116551 \nL 82.235811 154.733929 \nL 80.017437 155.121392 \nL 77.634805 155.252148 \nL 75.124613 155.098263 \nL 72.536089 154.632413 \nL 69.932952 153.830602 \nL 67.394459 152.675938 \nL 65.014876 151.163428 \nL 63.917604 150.27601 \nL 62.900667 149.305412 \nL 61.97834 148.256758 \nL 61.164772 147.136861 \nL 60.473632 145.954289 \nL 59.91773 144.719381 \nL 59.508597 143.444196 \nL 59.256082 142.142361 \nL 59.167943 140.828887 \nL 59.249484 139.519853 \nL 59.503262 138.232024 \nL 59.928846 136.98244 \nL 60.522719 135.787933 \nL 61.278266 134.664611 \nL 62.185892 133.627398 \nL 63.233264 132.689585 \nL 64.405652 131.862443 \nL 65.686363 131.154936 \nL 67.057249 130.57353 \nL 68.499237 130.122132 \nL 69.992879 129.802113 \nL 71.518873 129.612445 \nL 73.058533 129.549919 \nL 74.59421 129.609439 \nL 77.590067 130.066712 \nL 80.396306 130.918237 \nL 82.931743 132.088808 \nL 85.143502 133.502654 \nL 87.00327 135.089426 \nL 88.501919 136.787496 \nL 89.643852 138.545115 \nL 90.441861 140.320056 \nL 90.912981 142.078398 \nL 91.075453 143.792939 \nL 90.946754 145.441527 \nL 90.542512 147.005488 \nL 89.876142 148.468256 \nL 88.95904 149.814183 \nL 87.801178 151.027553 \nL 86.412067 152.091787 \nL 84.801995 152.988807 \nL 82.983555 153.698645 \nL 80.973399 154.199265 \nL 78.794242 154.466756 \nL 76.476985 154.475987 \nL 74.06285 154.201875 \nL 71.605283 153.621417 \nL 69.171214 152.716614 \nL 66.84124 151.478286 \nL 64.708058 149.910587 \nL 63.746655 149.009337 \nL 62.872645 148.035729 \nL 62.098876 146.996037 \nL 61.437752 145.898084 \nL 60.900918 144.751257 \nL 60.498875 143.566457 \nL 60.240643 142.355974 \nL 60.133398 141.133322 \nL 60.182163 139.912964 \nL 60.38954 138.710012 \nL 60.755508 137.539856 \nL 61.277314 136.417743 \nL 61.949447 135.35837 \nL 62.763736 134.375442 \nL 63.709529 133.481306 \nL 64.773978 132.686584 \nL 65.942391 131.999933 \nL 67.198667 131.427835 \nL 68.525746 130.974524 \nL 69.906085 130.641987 \nL 71.322109 130.430045 \nL 72.756655 130.336524 \nL 75.616846 130.487456 \nL 78.370055 131.046905 \nL 80.923187 131.952249 \nL 83.208869 133.134793 \nL 85.184096 134.52663 \nL 86.826552 136.065275 \nL 88.129852 137.696084 \nL 89.098709 139.372965 \nL 89.74465 141.057964 \nL 90.082604 142.720121 \nL 90.128455 144.334102 \nL 89.897494 145.878747 \nL 89.40361 147.33572 \nL 88.659117 148.688327 \nL 87.675033 149.920485 \nL 86.461769 151.01589 \nL 85.030122 151.957358 \nL 83.392536 152.726336 \nL 81.564613 153.302695 \nL 79.566835 153.66477 \nL 77.426416 153.789811 \nL 75.1792 153.654938 \nL 72.87142 153.238717 \nL 70.560976 152.523486 \nL 68.317917 151.498439 \nL 66.223582 150.163373 \nL 64.367961 148.532762 \nL 62.844833 146.639574 \nL 62.236583 145.610557 \nL 61.744648 144.537887 \nL 61.378337 143.431697 \nL 61.145584 142.303318 \nL 61.052645 141.16512 \nL 61.103817 140.030277 \nL 61.301233 138.912491 \nL 61.64468 137.825674 \nL 62.131523 136.783575 \nL 62.756685 135.799434 \nL 63.512732 134.885615 \nL 64.390032 134.053258 \nL 65.376999 133.311998 \nL 66.460418 132.669738 \nL 67.625788 132.132483 \nL 68.857729 131.704237 \nL 70.140388 131.387039 \nL 71.457837 131.180993 \nL 74.135241 131.094045 \nL 76.774186 131.412162 \nL 79.276614 132.086105 \nL 81.566368 133.056509 \nL 83.589846 134.260844 \nL 85.314016 135.6387 \nL 86.722833 137.135133 \nL 87.813058 138.702271 \nL 88.590177 140.299607 \nL 89.064928 141.893442 \nL 89.250606 143.455869 \nL 89.161167 144.963534 \nL 88.810108 146.396398 \nL 88.209957 147.736593 \nL 87.372286 148.967412 \nL 86.308146 150.072464 \nL 85.028825 151.03498 \nL 83.546894 151.837343 \nL 81.877494 152.460782 \nL 80.039816 152.885355 \nL 78.058731 153.09028 \nL 75.966466 153.054666 \nL 73.804149 152.758796 \nL 71.62306 152.186006 \nL 69.485186 151.325249 \nL 67.462753 150.174234 \nL 65.636286 148.742901 \nL 64.090868 147.056817 \nL 62.910425 145.15977 \nL 62.481183 144.151076 \nL 62.170323 143.114709 \nL 61.98455 142.061273 \nL 61.928993 141.002241 \nL 62.006977 139.949704 \nL 62.219848 138.916136 \nL 62.566844 137.914102 \nL 63.045045 136.955945 \nL 63.649376 136.053472 \nL 64.372699 135.217647 \nL 65.205955 134.458305 \nL 66.13841 133.783919 \nL 67.157916 133.201392 \nL 68.251236 132.715942 \nL 69.404391 132.331039 \nL 71.832674 131.868034 \nL 74.32914 131.806579 \nL 76.788824 132.118594 \nL 79.122318 132.75995 \nL 81.259444 133.677254 \nL 83.14997 134.813891 \nL 84.761991 136.114656 \nL 86.078935 137.528799 \nL 87.095978 139.01155 \nL 87.816514 140.524521 \nL 88.249101 142.035305 \nL 88.405041 143.516666 \nL 88.296696 144.945465 \nL 87.936431 146.30161 \nL 87.336162 147.567041 \nL 86.507359 148.724827 \nL 85.461436 149.758411 \nL 84.210466 150.651027 \nL 82.768169 151.385287 \nL 81.151088 151.942992 \nL 79.379958 152.305212 \nL 77.481156 152.452688 \nL 75.488144 152.366656 \nL 73.442754 152.030174 \nL 71.39604 151.429989 \nL 69.408488 150.55894 \nL 67.549136 149.418836 \nL 65.893354 148.023469 \nL 64.518992 146.401369 \nL 63.500901 144.597642 \nL 63.146377 143.646396 \nL 62.904154 142.674195 \nL 62.77963 141.691073 \nL 62.7767 140.707711 \nL 62.897569 139.735251 \nL 63.142628 138.78504 \nL 63.510375 137.868391 \nL 63.997381 136.996295 \nL 64.598326 136.179167 \nL 65.306102 135.426579 \nL 66.111971 134.747013 \nL 67.005774 134.147692 \nL 69.011011 133.211485 \nL 71.22246 132.646014 \nL 73.53632 132.455155 \nL 75.853267 132.621252 \nL 78.085461 133.10999 \nL 80.160963 133.876139 \nL 82.02543 134.869174 \nL 83.641595 136.037868 \nL 84.987181 137.333605 \nL 86.051981 138.712332 \nL 86.834766 140.135406 \nL 87.340413 141.569604 \nL 87.577507 142.986592 \nL 87.556584 144.36213 \nL 87.288937 145.675148 \nL 86.785973 146.906831 \nL 86.05906 148.039779 \nL 85.11974 149.057309 \nL 83.980271 149.942867 \nL 82.654439 150.679635 \nL 81.158581 151.250321 \nL 79.512756 151.63721 \nL 77.742017 151.822496 \nL 75.877678 151.788996 \nL 73.958412 151.521278 \nL 72.031037 151.007279 \nL 70.150681 150.240363 \nL 68.380088 149.221779 \nL 66.787751 147.963278 \nL 65.444673 146.489503 \nL 64.419738 144.839679 \nL 63.773906 143.067966 \nL 63.553846 141.241975 \nL 63.612654 140.332588 \nL 63.785924 139.439147 \nL 64.073035 138.571933 \nL 64.471652 137.741053 \nL 64.977743 136.956196 \nL 65.58564 136.226413 \nL 67.076715 134.963779 \nL 68.872229 134.005338 \nL 70.884891 133.382882 \nL 73.020887 133.106581 \nL 75.187948 133.166563 \nL 77.302055 133.536546 \nL 79.292103 134.178666 \nL 81.102212 135.048452 \nL 82.691989 136.099151 \nL 84.03519 137.285109 \nL 85.117469 138.563937 \nL 85.933722 139.897639 \nL 86.485501 141.252965 \nL 86.778775 142.601152 \nL 86.822141 143.917335 \nL 86.6256 145.179803 \nL 86.199804 146.369204 \nL 85.555772 147.467785 \nL 84.704968 148.458738 \nL 83.659719 149.325664 \nL 82.433859 150.052187 \nL 81.043615 150.621757 \nL 79.508616 151.017687 \nL 77.853001 151.223447 \nL 76.106506 151.223288 \nL 74.305425 151.003239 \nL 72.493252 150.552523 \nL 70.720819 149.865354 \nL 69.04565 148.943054 \nL 67.530332 147.796315 \nL 66.23971 146.447265 \nL 65.236879 144.930917 \nL 64.578185 143.295547 \nL 64.307674 141.601523 \nL 64.45181 139.918284 \nL 65.015322 138.319625 \nL 65.979078 136.877674 \nL 67.300643 135.656591 \nL 68.917561 134.70692 \nL 70.752939 134.061694 \nL 72.72237 133.734815 \nL 74.741055 133.721861 \nL 76.730017 134.002826 \nL 78.620703 134.546102 \nL 80.357598 135.312791 \nL 81.898979 136.260673 \nL 83.216199 137.347447 \nL 84.291974 138.532945 \nL 85.118177 139.780498 \nL 85.693578 141.057448 \nL 86.021769 142.335142 \nL 86.109494 143.588548 \nL 85.965404 144.795656 \nL 85.599274 145.936814 \nL 85.02162 146.994063 \nL 84.243695 147.950546 \nL 83.277781 148.790018 \nL 82.137718 149.496497 \nL 80.839667 150.054087 \nL 79.402964 150.447013 \nL 77.851088 150.65989 \nL 76.212586 150.678292 \nL 74.521892 150.48965 \nL 72.819834 150.084504 \nL 71.153701 149.458091 \nL 69.576614 148.612199 \nL 68.146039 147.557095 \nL 66.921293 146.313292 \nL 65.96001 144.91278 \nL 65.313788 143.399327 \nL 65.023343 141.827439 \nL 65.113892 140.259806 \nL 65.591457 138.763241 \nL 66.440882 137.403559 \nL 67.626067 136.240031 \nL 69.092581 135.320412 \nL 70.772286 134.677326 \nL 72.589254 134.326503 \nL 74.466007 134.267119 \nL 76.329147 134.483902 \nL 78.113696 134.95035 \nL 79.765793 135.632469 \nL 81.243765 136.492324 \nL 82.517828 137.491037 \nL 83.568825 138.590996 \nL 84.386434 139.757239 \nL 84.967218 140.95816 \nL 85.312764 142.165653 \nL 85.428148 143.354892 \nL 85.320732 144.503878 \nL 84.99938 145.592894 \nL 84.474041 146.603942 \nL 83.75567 147.520211 \nL 82.856427 148.325664 \nL 81.790125 149.004715 \nL 80.572857 149.54208 \nL 79.223745 149.922825 \nL 77.765768 150.132622 \nL 76.226535 150.158287 \nL 74.638968 149.988596 \nL 73.041688 149.615415 \nL 71.478987 149.035098 \nL 70.00019 148.250118 \nL 68.658259 147.270718 \nL 67.507513 146.116409 \nL 66.600491 144.81697 \nL 65.984107 143.412636 \nL 65.695418 141.953123 \nL 65.757601 140.495366 \nL 66.176731 139.100008 \nL 66.94001 137.826914 \nL 68.015891 136.730411 \nL 69.356229 135.854874 \nL 70.90019 135.231458 \nL 72.579326 134.876405 \nL 74.323032 134.791101 \nL 76.063563 134.963697 \nL 77.740053 135.37177 \nL 79.301124 135.98551 \nL 80.706119 136.770863 \nL 81.925096 137.69228 \nL 82.937917 138.714771 \nL 83.732794 139.805324 \nL 84.30464 140.93368 \nL 84.653437 142.072595 \nL 84.782836 143.19774 \nL 84.69904 144.287389 \nL 84.410055 145.321977 \nL 83.925256 146.283625 \nL 83.255252 147.155689 \nL 82.412052 147.922395 \nL 81.409399 148.56858 \nL 80.263324 149.079573 \nL 78.99277 149.441247 \nL 77.620301 149.640285 \nL 76.172748 149.664691 \nL 74.681758 149.504538 \nL 73.184055 149.152986 \nL 71.721324 148.607554 \nL 70.339541 147.871522 \nL 69.08763 146.955361 \nL 68.015365 145.87797 \nL 67.170548 144.667474 \nL 66.595566 143.361263 \nL 66.323717 142.005059 \nL 66.375708 140.650864 \nL 66.756877 139.353815 \nL 67.455691 138.16832 \nL 68.443858 137.143862 \nL 69.678171 136.321168 \nL 71.103875 135.72933 \nL 72.659061 135.384211 \nL 74.279421 135.288384 \nL 75.902704 135.432417 \nL 77.472346 135.797082 \nL 78.93993 136.356071 \nL 80.266469 137.078776 \nL 81.422571 137.932728 \nL 82.387806 138.885534 \nL 83.149547 139.90622 \nL 83.701558 140.966044 \nL 84.042593 142.038826 \nL 84.175145 143.100964 \nL 84.104432 144.131206 \nL 83.837689 145.110313 \nL 83.383747 146.020675 \nL 82.752886 146.845922 \nL 81.956931 147.570628 \nL 81.009546 148.1801 \nL 79.92668 148.660287 \nL 78.72712 148.997863 \nL 77.433062 149.180502 \nL 76.070659 149.197342 \nL 74.670424 149.039714 \nL 73.267399 148.702058 \nL 71.900928 148.183057 \nL 70.61397 147.48685 \nL 69.451776 146.624282 \nL 68.459949 145.613882 \nL 67.681859 144.482488 \nL 67.155588 143.265145 \nL 66.910713 142.004159 \nL 66.965261 140.74721 \nL 67.323378 139.544542 \nL 67.974073 138.445544 \nL 68.891383 137.495085 \nL 70.036024 136.730214 \nL 71.358331 136.177626 \nL 72.802096 135.852238 \nL 74.308714 135.757111 \nL 75.821125 135.884457 \nL 77.287051 136.217512 \nL 78.661267 136.73289 \nL 79.90685 137.402976 \nL 80.99546 138.198116 \nL 81.906901 139.088384 \nL 82.628187 140.044843 \nL 83.152368 141.040332 \nL 83.477315 142.04988 \nL 83.604623 143.050749 \nL 83.538704 144.022321 \nL 83.286139 144.94583 \nL 82.855282 145.804045 \nL 82.256099 146.580985 \nL 81.500238 147.261648 \nL 80.601266 147.831852 \nL 79.575052 148.278204 \nL 78.440215 148.588185 \nL 77.218613 148.750433 \nL 75.935762 148.755212 \nL 74.621141 148.595064 \nL 73.308233 148.265669 \nL 72.034239 147.766844 \nL 70.839335 147.103615 \nL 69.76539 146.287255 \nL 68.854134 145.336076 \nL 68.144802 144.27586 \nL 67.671409 143.139642 \nL 67.459919 141.966748 \nL 67.525649 140.801029 \nL 67.87129 139.688322 \nL 68.485941 138.673399 \nL 69.345333 137.796826 \nL 70.413349 137.092062 \nL 71.64463 136.583252 \nL 72.987941 136.284066 \nL 74.389825 136.197538 \nL 75.798046 136.31697 \nL 77.164475 136.627506 \nL 78.447138 137.108158 \nL 79.611394 137.733912 \nL 80.630282 138.477646 \nL 81.48421 139.311721 \nL 82.160212 140.209175 \nL 82.650972 141.144449 \nL 82.953777 142.093834 \nL 83.069561 143.035562 \nL 83.00211 143.949753 \nL 82.757469 144.818215 \nL 82.343587 145.624217 \nL 81.77016 146.352236 \nL 81.048675 146.987762 \nL 80.192601 147.517197 \nL 79.217709 147.927818 \nL 78.142445 148.207934 \nL 76.988322 148.347148 \nL 75.780245 148.336816 \nL 74.546696 148.170659 \nL 73.319697 147.845553 \nL 72.134428 147.362415 \nL 71.028458 146.727125 \nL 70.040495 145.951399 \nL 69.208655 145.053406 \nL 68.568307 144.058008 \nL 68.149633 142.996459 \nL 67.975165 141.905431 \nL 68.05756 140.825322 \nL 68.397969 139.797957 \nL 68.985307 138.863922 \nL 69.796565 138.059746 \nL 70.798236 137.415444 \nL 71.948652 136.952658 \nL 73.20096 136.683594 \nL 74.506321 136.610975 \nL 75.816955 136.728777 \nL 77.088658 137.023622 \nL 78.28266 137.476507 \nL 79.366696 138.064646 \nL 80.315369 138.763181 \nL 81.109957 139.546594 \nL 81.737798 140.389773 \nL 82.19148 141.26874 \nL 82.467951 142.161055 \nL 82.567695 143.045973 \nL 82.494032 143.904426 \nL 82.252597 144.718885 \nL 81.851014 145.473188 \nL 81.298754 146.152352 \nL 80.607155 146.742426 \nL 79.789593 147.230422 \nL 78.861727 147.604345 \nL 77.303827 147.92796 \nL 75.613589 147.940617 \nL 73.881112 147.623087 \nL 72.754187 147.225544 \nL 71.689401 146.683607 \nL 70.72235 146.006616 \nL 69.888481 145.209606 \nL 69.221297 144.313633 \nL 68.750245 143.345612 \nL 68.498537 142.337648 \nL 68.481084 141.325713 \nL 68.702872 140.347812 \nL 69.158015 139.441691 \nL 69.829683 138.642422 \nL 70.690991 137.980042 \nL 71.70675 137.477674 \nL 72.835894 137.150331 \nL 74.03425 137.004427 \nL 75.257321 137.038138 \nL 76.462751 137.242352 \nL 77.612275 137.602071 \nL 78.673023 138.097994 \nL 79.618176 138.708104 \nL 80.427068 139.409024 \nL 81.084844 140.177176 \nL 81.581881 140.98958 \nL 81.913025 141.824377 \nL 82.076873 142.661122 \nL 82.075093 143.480859 \nL 81.911897 144.26609 \nL 81.593665 145.00066 \nL 81.12874 145.669625 \nL 80.527362 146.259132 \nL 79.801758 146.756349 \nL 78.512514 147.303612 \nL 77.035484 147.582153 \nL 75.443231 147.565079 \nL 73.822834 147.236816 \nL 72.274594 146.59772 \nL 71.33625 146.008541 \nL 70.511335 145.302701 \nL 69.831377 144.49808 \nL 69.324735 143.617919 \nL 69.014674 142.690324 \nL 68.917482 141.747278 \nL 69.040899 140.823145 \nL 69.383078 139.952753 \nL 69.932238 139.169255 \nL 70.667158 138.502047 \nL 71.558446 137.974911 \nL 72.570471 137.604693 \nL 73.663722 137.40062 \nL 74.79729 137.364285 \nL 75.931201 137.49029 \nL 77.028362 137.767273 \nL 78.534932 138.429995 \nL 79.798026 139.3297 \nL 80.757026 140.393492 \nL 81.376761 141.548707 \nL 81.593762 142.335713 \nL 81.653463 143.114242 \nL 81.558662 143.866957 \nL 81.314491 144.577802 \nL 80.928143 145.231926 \nL 80.1026 146.076977 \nL 79.017474 146.721787 \nL 77.722885 147.130053 \nL 76.281091 147.272295 \nL 74.767439 147.128326 \nL 73.27 146.690827 \nL 71.886883 145.969731 \nL 71.078934 145.345968 \nL 70.396925 144.624845 \nL 69.867924 143.826465 \nL 69.514821 142.975478 \nL 69.35464 142.100289 \nL 69.397056 141.231878 \nL 69.64331 140.402176 \nL 70.085713 139.642233 \nL 70.707821 138.98034 \nL 71.485336 138.440289 \nL 72.387615 138.040038 \nL 73.379639 137.790844 \nL 74.424184 137.697037 \nL 75.483979 137.756345 \nL 77.02563 138.113295 \nL 78.418208 138.749182 \nL 79.580467 139.602953 \nL 80.456198 140.607038 \nL 81.012423 141.693683 \nL 81.235782 142.798832 \nL 81.128623 143.863953 \nL 80.705834 144.836472 \nL 79.992956 145.669539 \nL 79.025529 146.321749 \nL 77.849502 146.757334 \nL 76.522099 146.947168 \nL 75.112512 146.870811 \nL 73.701562 146.519544 \nL 72.379469 145.900126 \nL 71.240939 145.038507 \nL 70.629436 144.352163 \nL 70.16454 143.598493 \nL 69.866205 142.801035 \nL 69.748722 141.986485 \nL 69.819479 141.183548 \nL 70.078098 140.421437 \nL 70.516117 139.728261 \nL 71.117266 139.12933 \nL 71.858349 138.645701 \nL 72.710674 138.293039 \nL 73.641801 138.080907 \nL 75.111346 138.031886 \nL 76.567804 138.292208 \nL 77.909751 138.824983 \nL 79.055288 139.577153 \nL 79.94505 140.487275 \nL 80.54167 141.49179 \nL 80.827088 142.529257 \nL 80.799222 143.542667 \nL 80.468985 144.480362 \nL 79.858266 145.296132 \nL 78.99902 145.949147 \nL 77.933263 146.40417 \nL 76.713606 146.632423 \nL 75.4037 146.613307 \nL 74.077878 146.336983 \nL 72.819236 145.807609 \nL 71.71545 145.046594 \nL 70.852044 144.09493 \nL 70.447495 143.383866 \nL 70.200537 142.637187 \nL 70.122968 141.879941 \nL 70.22011 141.138669 \nL 70.490158 140.440084 \nL 70.92399 139.809563 \nL 71.505531 139.269696 \nL 72.21263 138.839047 \nL 73.018373 138.531173 \nL 74.345717 138.315599 \nL 75.721214 138.396752 \nL 77.043754 138.753235 \nL 78.226064 139.344429 \nL 79.199975 140.117592 \nL 79.917937 141.014322 \nL 80.351867 141.975578 \nL 80.490612 142.944934 \nL 80.337128 143.870276 \nL 79.906198 144.704494 \nL 79.222988 145.405652 \nL 78.322512 145.937175 \nL 77.249733 146.268416 \nL 76.059836 146.375903 \nL 74.818122 146.245293 \nL 73.598805 145.874007 \nL 72.482118 145.274137 \nL 71.549238 144.474926 \nL 70.875068 143.523878 \nL 70.519599 142.485479 \nL 70.478851 141.782457 \nL 70.600046 141.099297 \nL 70.880126 140.460354 \nL 71.309437 139.888482 \nL 71.872143 139.403812 \nL 72.918881 138.874663 \nL 74.130027 138.612292 \nL 75.408896 138.626322 \nL 76.660336 138.902574 \nL 77.799738 139.407757 \nL 78.758773 140.095553 \nL 79.487759 140.912654 \nL 79.95539 141.803748 \nL 80.146874 142.714907 \nL 80.061555 143.595671 \nL 79.71076 144.400026 \nL 79.116308 145.086829 \nL 78.309769 145.620135 \nL 77.332299 145.969757 \nL 76.234696 146.112343 \nL 75.077161 146.033092 \nL 73.928198 145.728021 \nL 72.862055 145.206479 \nL 71.954326 144.493369 \nL 71.275671 143.63023 \nL 70.884169 142.674347 \nL 70.817517 141.695205 \nL 70.960194 141.066769 \nL 71.248619 140.483726 \nL 71.931004 139.738529 \nL 72.861175 139.198088 \nL 73.962376 138.899528 \nL 75.146769 138.857145 \nL 76.325491 139.062944 \nL 77.417302 139.490224 \nL 78.354596 140.098769 \nL 79.086411 140.840356 \nL 79.578897 141.663501 \nL 79.814119 142.517031 \nL 79.788111 143.35235 \nL 79.508949 144.124729 \nL 78.995247 144.793941 \nL 78.275278 145.324729 \nL 77.386611 145.68738 \nL 76.375977 145.858716 \nL 75.298905 145.823572 \nL 74.218686 145.576775 \nL 73.204087 145.12534 \nL 72.325505 144.490434 \nL 71.64946 143.708407 \nL 71.231858 142.830175 \nL 71.110937 141.918324 \nL 71.301336 141.041833 \nL 71.790737 140.268956 \nL 72.540192 139.659464 \nL 73.488366 139.257881 \nL 74.558924 139.089076 \nL 75.669438 139.15699 \nL 76.740057 139.446421 \nL 77.700351 139.926878 \nL 78.493695 140.557444 \nL 79.079079 141.29152 \nL 79.431001 142.080752 \nL 79.538167 142.877819 \nL 79.401803 143.638229 \nL 79.034092 144.321343 \nL 78.457054 144.891035 \nL 77.701894 145.316258 \nL 76.808661 145.571832 \nL 75.825892 145.639631 \nL 74.80984 145.51018 \nL 73.822806 145.184543 \nL 72.930216 144.676182 \nL 72.196238 144.01225 \nL 71.678135 143.233696 \nL 71.419932 142.393598 \nL 71.44647 141.553348 \nL 71.759162 140.777001 \nL 72.334567 140.124397 \nL 73.126446 139.644547 \nL 74.071013 139.370385 \nL 75.094391 139.316114 \nL 76.120676 139.477297 \nL 77.079127 139.833324 \nL 77.909498 140.351327 \nL 78.565063 140.990594 \nL 79.013587 141.706589 \nL 79.236851 142.45411 \nL 79.229389 143.18955 \nL 78.997045 143.87232 \nL 78.555752 144.465746 \nL 77.930655 144.937746 \nL 77.155583 145.261532 \nL 76.272611 145.416583 \nL 75.331425 145.389945 \nL 74.388051 145.177833 \nL 73.502649 144.787307 \nL 72.736054 144.237662 \nL 72.145107 143.560983 \nL 71.777133 142.801364 \nL 71.664318 142.012332 \nL 71.819034 141.252443 \nL 72.231264 140.579561 \nL 72.868861 140.044638 \nL 73.680866 139.686247 \nL 74.603302 139.526908 \nL 75.56627 139.57182 \nL 76.501006 139.809925 \nL 77.345723 140.216743 \nL 78.049588 140.758183 \nL 78.574737 141.39441 \nL 78.896648 142.08319 \nL 79.00348 142.782491 \nL 78.894907 143.452293 \nL 78.580918 144.055781 \nL 78.080833 144.560148 \nL 77.422605 144.937347 \nL 76.642287 145.164921 \nL 75.783419 145.227093 \nL 74.896042 145.116109 \nL 74.034984 144.833727 \nL 73.257139 144.392569 \nL 72.617662 143.816961 \nL 72.165248 143.142743 \nL 71.936999 142.415653 \nL 71.95372 141.688084 \nL 72.216604 141.014408 \nL 72.70617 140.445474 \nL 73.383905 140.023243 \nL 74.196417 139.776566 \nL 75.081322 139.718845 \nL 75.973754 139.847846 \nL 76.812367 140.147437 \nL 77.543929 140.590606 \nL 78.126211 141.142909 \nL 78.529238 141.76585 \nL 78.735277 142.41968 \nL 78.738095 143.06553 \nL 78.54192 143.666851 \nL 78.160442 144.190495 \nL 77.616019 144.607484 \nL 76.939022 144.893828 \nL 76.16724 145.031457 \nL 75.068203 144.965778 \nL 73.998688 144.614747 \nL 73.291243 144.180438 \nL 72.72127 143.626117 \nL 72.332191 142.986977 \nL 72.15581 142.30678 \nL 72.208274 141.634587 \nL 72.487441 141.020355 \nL 72.972367 140.509957 \nL 73.625165 140.140434 \nL 74.39506 139.93645 \nL 75.223804 139.908426 \nL 76.051552 140.052614 \nL 77.057667 140.483211 \nL 77.852571 141.125976 \nL 78.262454 141.698451 \nL 78.490285 142.307281 \nL 78.527896 142.915611 \nL 78.377282 143.48843 \nL 78.0497 143.993707 \nL 77.564875 144.403256 \nL 76.950331 144.693562 \nL 75.989983 144.865052 \nL 74.960302 144.769672 \nL 73.973889 144.409461 \nL 73.147024 143.816379 \nL 72.695977 143.255656 \nL 72.429716 142.63599 \nL 72.370554 142.000861 \nL 72.524981 141.396548 \nL 72.882236 140.867832 \nL 73.414945 140.453484 \nL 74.081838 140.182471 \nL 74.832083 140.071426 \nL 75.866693 140.176311 \nL 76.824866 140.544831 \nL 77.599506 141.121387 \nL 78.113305 141.831753 \nL 78.299768 142.403134 \nL 78.307611 142.969211 \nL 78.139898 143.497296 \nL 77.808463 143.957605 \nL 77.147273 144.421662 \nL 76.298265 144.67116 \nL 75.348444 144.676227 \nL 74.399734 144.429851 \nL 73.560833 143.951909 \nL 72.935175 143.291236 \nL 72.657095 142.720544 \nL 72.569036 142.128825 \nL 72.67937 141.558706 \nL 72.980742 141.052031 \nL 73.450356 140.645796 \nL 74.052138 140.368562 \nL 74.980374 140.228248 \nL 75.942017 140.355658 \nL 76.820833 140.724172 \nL 77.519472 141.280091 \nL 77.968496 141.953203 \nL 78.129516 142.666621 \nL 77.994402 143.344652 \nL 77.582671 143.918363 \nL 76.938543 144.329719 \nL 76.127996 144.535196 \nL 75.235208 144.509575 \nL 74.357192 144.249883 \nL 73.595453 143.778792 \nL 73.044305 143.145792 \nL 72.776903 142.424352 \nL 72.787375 141.878723 \nL 72.98046 141.373031 \nL 73.342044 140.944132 \nL 73.844643 140.622684 \nL 74.667131 140.397118 \nL 75.564358 140.421412 \nL 76.425312 140.683208 \nL 77.151109 141.141709 \nL 77.665815 141.736583 \nL 77.921648 142.397469 \nL 77.899803 143.05214 \nL 77.608754 143.632684 \nL 77.081639 144.080026 \nL 76.373435 144.347676 \nL 75.557653 144.405298 \nL 74.721769 144.242373 \nL 73.960266 143.871523 \nL 73.364741 143.330263 \nL 73.011584 142.679626 \nL 72.949265 141.998358 \nL 73.10137 141.519148 \nL 73.413007 141.105881 \nL 74.034586 140.707315 \nL 74.814266 140.524817 \nL 75.651494 140.574806 \nL 76.443864 140.842789 \nL 77.101203 141.288692 \nL 77.555105 141.854991 \nL 77.763526 142.475419 \nL 77.711535 143.082362 \nL 77.409817 143.612637 \nL 76.892259 144.011836 \nL 76.213154 144.237988 \nL 75.443773 144.265024 \nL 74.667546 144.086154 \nL 73.972982 143.716671 \nL 73.444018 143.195036 \nL 73.148512 142.580854 \nL 73.126855 141.948764 \nL 73.383736 141.378354 \nL 73.885803 140.941875 \nL 74.566565 140.692617 \nL 75.337581 140.657121 \nL 76.102852 140.832824 \nL 76.772775 141.191134 \nL 77.274761 141.684006 \nL 77.559428 142.2519 \nL 77.60278 142.831225 \nL 77.405716 143.360429 \nL 76.992119 143.784711 \nL 76.406338 144.059834 \nL 75.710068 144.155514 \nL 74.978153 144.05865 \nL 74.292608 143.776129 \nL 73.734344 143.336346 \nL 73.372975 142.788301 \nL 73.256143 142.197223 \nL 73.400721 141.636451 \nL 73.788599 141.176689 \nL 74.368777 140.874875 \nL 75.065617 140.765557 \nL 75.791219 140.856713 \nL 76.458663 141.130712 \nL 76.993192 141.54916 \nL 77.33969 142.059882 \nL 77.466245 142.604112 \nL 77.364758 143.122759 \nL 77.049683 143.5614 \nL 76.555889 143.87432 \nL 75.93584 144.027896 \nL 75.255921 144.003764 \nL 74.59131 143.801573 \nL 74.018892 143.440798 \nL 73.608317 142.960649 \nL 73.412138 142.417098 \nL 73.456952 141.876524 \nL 73.737895 141.406516 \nL 74.218416 141.065622 \nL 74.835874 140.894329 \nL 75.511681 140.909608 \nL 76.313494 141.177551 \nL 76.935959 141.663805 \nL 77.235334 142.147597 \nL 77.326943 142.656048 \nL 77.205651 143.133998 \nL 76.887486 143.531091 \nL 76.407541 143.80561 \nL 75.817145 143.927782 \nL 75.021781 143.845137 \nL 74.292661 143.511655 \nL 73.847962 143.099437 \nL 73.587555 142.607853 \nL 73.545512 142.095942 \nL 73.728184 141.627039 \nL 74.112173 141.259529 \nL 74.647567 141.037945 \nL 75.265842 140.98662 \nL 76.038923 141.162298 \nL 76.681954 141.562692 \nL 77.087182 142.108282 \nL 77.197543 142.583226 \nL 77.10817 143.035998 \nL 76.831656 143.418494 \nL 76.398946 143.690363 \nL 75.710685 143.831127 \nL 74.968595 143.727681 \nL 74.302918 143.393675 \nL 73.836471 142.884843 \nL 73.669356 142.412732 \nL 73.710881 141.944397 \nL 73.956237 141.537816 \nL 74.37377 141.243076 \nL 74.909694 141.094922 \nL 75.642774 141.136499 \nL 76.317986 141.412536 \nL 76.817112 141.864709 \nL 77.059933 142.40793 \nL 77.045503 142.844158 \nL 76.849441 143.230756 \nL 76.494641 143.526725 \nL 75.888214 143.722074 \nL 75.197807 143.692615 \nL 74.543394 143.440123 \nL 74.043757 143.005768 \nL 73.79404 142.466618 \nL 73.809602 142.027166 \nL 74.016574 141.639077 \nL 74.388384 141.350004 \nL 75.010835 141.178432 \nL 75.694316 141.240701 \nL 76.311994 141.517645 \nL 76.756351 141.952042 \nL 76.956211 142.462982 \nL 76.884366 142.961376 \nL 76.557919 143.363702 \nL 76.03383 143.603115 \nL 75.401036 143.638448 \nL 74.768747 143.461233 \nL 74.250172 143.099577 \nL 73.94233 142.616631 \nL 73.905277 142.101346 \nL 74.077799 141.731762 \nL 74.510196 141.396892 \nL 75.101448 141.259027 \nL 75.737555 141.338936 \nL 76.301342 141.615019 \nL 76.6952 142.03135 \nL 76.856238 142.511051 \nL 76.763008 142.970706 \nL 76.435535 143.333108 \nL 75.930857 143.537724 \nL 75.335077 143.549104 \nL 74.75166 143.363195 \nL 74.285518 143.010304 \nL 74.023924 142.552683 \nL 74.017707 142.074873 \nL 74.268353 141.667315 \nL 74.726232 141.406772 \nL 75.301656 141.339622 \nL 75.885349 141.473172 \nL 76.371687 141.776869 \nL 76.678024 142.191427 \nL 76.75663 142.641852 \nL 76.59919 143.050587 \nL 76.235592 143.349022 \nL 75.728667 143.486876 \nL 75.16551 143.439652 \nL 74.55467 143.149803 \nL 74.208676 142.762351 \nL 74.082497 142.315811 \nL 74.200802 141.89373 \nL 74.540291 141.575833 \nL 75.034197 141.420716 \nL 75.587417 141.453732 \nL 76.185929 141.723339 \nL 76.573118 142.167881 \nL 76.667864 142.588392 \nL 76.541096 142.976768 \nL 76.217505 143.267458 \nL 75.753443 143.411418 \nL 75.124769 143.356882 \nL 74.568033 143.067295 \nL 74.265354 142.696627 \nL 74.171982 142.279178 \nL 74.305986 141.893021 \nL 74.64096 141.610781 \nL 75.111375 141.48403 \nL 75.727407 141.563121 \nL 76.247228 141.864574 \nL 76.542816 142.304304 \nL 76.567808 142.694863 \nL 76.389307 143.035592 \nL 76.040104 143.268947 \nL 75.482518 143.352997 \nL 74.906203 143.204476 \nL 74.458525 142.8587 \nL 74.258017 142.403787 \nL 74.321527 142.027948 \nL 74.583468 141.730452 \nL 74.992585 141.566244 \nL 75.566186 141.582333 \nL 76.086028 141.817904 \nL 76.421728 142.205613 \nL 76.495249 142.644005 \nL 76.345593 142.969044 \nL 75.954448 143.228648 \nL 75.426758 143.287583 \nL 74.894457 143.13013 \nL 74.494065 142.794442 \nL 74.331551 142.366576 \nL 74.411806 142.021216 \nL 74.673266 141.755179 \nL 75.152647 141.607597 \nL 75.687944 141.677818 \nL 76.139245 141.941124 \nL 76.394975 142.324603 \nL 76.397001 142.729392 \nL 76.149977 143.055436 \nL 75.717383 143.223397 \nL 75.207147 143.191692 \nL 74.748194 142.96709 \nL 74.459678 142.605843 \nL 74.418468 142.202056 \nL 74.635177 141.863137 \nL 75.049394 141.678671 \nL 75.547969 141.694263 \nL 75.999322 141.900343 \nL 76.29004 142.23856 \nL 76.351921 142.620494 \nL 76.174635 142.950761 \nL 75.80501 143.148651 \nL 75.335703 143.165548 \nL 74.820064 142.952558 \nL 74.535823 142.622689 \nL 74.478552 142.245855 \nL 74.663097 141.922009 \nL 75.038037 141.736672 \nL 75.501056 141.736116 \nL 75.989775 141.960076 \nL 76.266293 142.342211 \nL 76.265833 142.694662 \nL 76.048275 142.977589 \nL 75.669795 143.121778 \nL 75.152806 143.069401 \nL 74.724131 142.798327 \nL 74.543191 142.461172 \nL 74.587166 142.119685 \nL 74.843195 141.864393 \nL 75.240728 141.761674 \nL 75.740054 141.863499 \nL 76.111807 142.160471 \nL 76.233492 142.545357 \nL 76.109933 142.845297 \nL 75.809245 143.039077 \nL 75.337596 143.069513 \nL 74.890377 142.881627 \nL 74.623287 142.53955 \nL 74.612124 142.214149 \nL 74.806733 141.949702 \nL 75.153337 141.815436 \nL 75.623856 141.864475 \nL 76.007453 142.109948 \nL 76.175709 142.461901 \nL 76.107311 142.756236 \nL 75.861704 142.966502 \nL 75.436525 143.038418 \nL 75.001705 142.902773 \nL 74.707887 142.605729 \nL 74.658756 142.251316 \nL 74.826503 141.997864 \nL 75.202464 141.853314 \nL 75.64031 141.914566 \nL 75.986381 142.154545 \nL 76.125154 142.485979 \nL 76.014873 142.794729 \nL 75.69669 142.977451 \nL 75.279749 142.973343 \nL 74.865556 142.74468 \nL 74.699538 142.426276 \nL 74.780716 142.114113 \nL 75.07802 141.918967 \nL 75.482578 141.907738 \nL 75.892282 142.11604 \nL 76.068165 142.415888 \nL 76.013226 142.71727 \nL 75.750105 142.91871 \nL 75.313223 142.942956 \nL 74.918605 142.740705 \nL 74.744082 142.402698 \nL 74.837382 142.116788 \nL 75.126425 141.946543 \nL 75.559493 141.965031 \nL 75.911748 142.193404 \nL 76.029796 142.524158 \nL 75.901935 142.781438 \nL 75.604194 142.917651 \nL 75.188566 142.869379 \nL 74.870922 142.627389 \nL 74.794836 142.301092 \nL 74.955795 142.064257 \nL 75.320523 141.959691 \nL 75.713234 142.070973 \nL 75.957929 142.342122 \nL 75.950971 142.649172 \nL 75.74226 142.84029 \nL 75.369004 142.885071 \nL 75.012789 142.729061 \nL 74.833667 142.442472 \nL 74.888547 142.186934 \nL 75.164822 142.00945 \nL 75.541412 142.027204 \nL 75.872268 142.260739 \nL 75.942404 142.550967 \nL 75.771488 142.785241 \nL 75.438027 142.861743 \nL 75.054409 142.721774 \nL 74.874992 142.458547 \nL 74.934389 142.187884 \nL 75.20283 142.03322 \nL 75.596191 142.079085 \nL 75.870608 142.322781 \nL 75.891574 142.592794 \nL 75.694536 142.788888 \nL 75.326285 142.817729 \nL 75.002922 142.632647 \nL 74.90643 142.338661 \nL 75.057665 142.121974 \nL 75.360225 142.050297 \nL 75.706854 142.176005 \nL 75.874443 142.443236 \nL 75.798921 142.677512 \nL 75.54747 142.801249 \nL 75.196229 142.744559 \nL 74.962701 142.515241 \nL 74.978192 142.243832 \nL 75.194842 142.093477 \nL 75.536607 142.111911 \nL 75.810105 142.339442 \nL 75.814323 142.601087 \nL 75.588269 142.766331 \nL 75.259978 142.745306 \nL 74.998058 142.522903 \nL 74.999685 142.268208 \nL 75.22642 142.112003 \nL 75.578553 142.155467 \nL 75.800031 142.388236 \nL 75.763381 142.625974 \nL 75.525143 142.754001 \nL 75.189333 142.686488 \nL 75.001372 142.448194 \nL 75.068465 142.223955 \nL 75.320446 142.122758 \nL 75.6383 142.217279 \nL 75.786009 142.457638 \nL 75.691169 142.661541 \nL 75.402879 142.734329 \nL 75.095743 142.58064 \nL 75.032748 142.333956 \nL 75.194634 142.17087 \nL 75.498636 142.168781 \nL 75.739156 142.371996 \nL 75.714676 142.602702 \nL 75.476673 142.715759 \nL 75.165874 142.61901 \nL 75.050182 142.373827 \nL 75.196924 142.193454 \nL 75.478744 142.182517 \nL 75.711432 142.365948 \nL 75.699531 142.582959 \nL 75.484016 142.695857 \nL 75.19129 142.614207 \nL 75.072569 142.387863 \nL 75.20013 142.214561 \nL 75.487446 142.204103 \nL 75.703237 142.402774 \nL 75.658317 142.598466 \nL 75.411756 142.678761 \nL 75.143422 142.541527 \nL 75.114093 142.322712 \nL 75.293426 142.203792 \nL 75.582713 142.272405 \nL 75.68927 142.494002 \nL 75.539739 142.648363 \nL 75.256704 142.615904 \nL 75.114425 142.411443 \nL 75.227397 142.242555 \nL 75.499877 142.243374 \nL 75.668667 142.426838 \nL 75.593826 142.603115 \nL 75.339623 142.634234 \nL 75.14031 142.457117 \nL 75.198371 142.280757 \nL 75.440604 142.238968 \nL 75.643401 142.402277 \nL 75.587442 142.586875 \nL 75.353122 142.623422 \nL 75.160054 142.463258 \nL 75.21948 142.285407 \nL 75.448663 142.255049 \nL 75.633678 142.42916 \nL 75.552346 142.591162 \nL 75.307772 142.593947 \nL 75.168136 142.406255 \nL 75.286165 142.268292 \nL 75.524744 142.302967 \nL 75.614373 142.496091 \nL 75.468025 142.605098 \nL 75.232464 142.526698 \nL 75.211004 142.335083 \nL 75.407766 142.271137 \nL 75.599894 142.417054 \nL 75.53116 142.571468 \nL 75.302627 142.565023 \nL 75.202595 142.382768 \nL 75.349179 142.280288 \nL 75.565131 142.374467 \nL 75.550205 142.542705 \nL 75.345654 142.572113 \nL 75.212185 142.403957 \nL 75.330482 142.293781 \nL 75.5413 142.362489 \nL 75.544208 142.531533 \nL 75.35584 142.56505 \nL 75.224217 142.41135 \nL 75.342511 142.301999 \nL 75.543957 142.383176 \nL 75.520337 142.536773 \nL 75.32527 142.542907 \nL 75.24585 142.376387 \nL 75.407541 142.311379 \nL 75.554817 142.444284 \nL 75.451061 142.55449 \nL 75.262131 142.474455 \nL 75.305534 142.333055 \nL 75.502892 142.364688 \nL 75.519299 142.510609 \nL 75.511909 142.517631 \nL 75.333835 142.528392 \nL 75.266038 142.383346 \nL 75.270789 142.375169 \nL 75.43063 142.333095 \nL 75.531423 142.470663 \nL 75.528459 142.479146 \nL 75.386735 142.538409 \nL 75.267896 142.407031 \nL 75.390459 142.332996 \nL 75.524887 142.456283 \nL 75.40307 142.533512 \nL 75.276013 142.41261 \nL 75.396535 142.340338 \nL 75.515733 142.45903 \nL 75.513928 142.466635 \nL 75.377556 142.522676 \nL 75.286905 142.402773 \nL 75.29324 142.388952 \nL 75.439242 142.357651 \nL 75.502021 142.474973 \nL 75.483288 142.498382 \nL 75.319114 142.484256 \nL 75.31186 142.377615 \nL 75.345601 142.357797 \nL 75.499386 142.428858 \nL 75.439091 142.512501 \nL 75.405401 142.515195 \nL 75.298722 142.41933 \nL 75.304 142.40034 \nL 75.442075 142.371527 \nL 75.488301 142.470254 \nL 75.453799 142.501525 \nL 75.30933 142.448317 \nL 75.307284 142.442058 \nL 75.360041 142.365663 \nL 75.398167 142.36351 \nL 75.486973 142.45416 \nL 75.469041 142.484899 \nL 75.326491 142.466733 \nL 75.322555 142.461351 \nL 75.341206 142.378734 \nL 75.39479 142.36801 \nL 75.481411 142.450354 \nL 75.461837 142.483605 \nL 75.329278 142.461913 \nL 75.32303 142.451533 \nL 75.353465 142.378427 \nL 75.405481 142.373935 \nL 75.475313 142.452071 \nL 75.434122 142.492353 \nL 75.323685 142.437571 \nL 75.327271 142.408078 \nL 75.432258 142.38746 \nL 75.452012 142.401606 \nL 75.457062 142.474177 \nL 75.380792 142.487543 \nL 75.329554 142.416211 \nL 75.464009 142.454528 \nL 75.397493 142.439552 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pf6771b3e79\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
diff --git a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
index e5ed371f..64c6e0d8 100644
--- a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
@@ -50,7 +50,7 @@
   },
   {
    "source": [
-    "# 4th Order Runge-Kutta - Data Generation"
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
    ],
    "cell_type": "markdown",
    "metadata": {}
@@ -281,7 +281,7 @@
   },
   {
    "source": [
-    "# Predict using 4th Order Runge-Kutta"
+    "# Predictions for nt = 10000"
    ],
    "cell_type": "markdown",
    "metadata": {}

From f428a79bac276c34793608eeb034ee8a340a95f4 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 16:57:28 -0400
Subject: [PATCH 23/73] Update README.md

---
 examples/ode/README.md | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/examples/ode/README.md b/examples/ode/README.md
index ac9aad93..912acf4f 100644
--- a/examples/ode/README.md
+++ b/examples/ode/README.md
@@ -1,14 +1,19 @@
-In this folder, we train the ODESolver model on three different ODEs:
+In this folder, we train the ODESolver model on three different ODEs. Our goal is to estimate all the parameters here.
 
 Lorenz63:
 
 ![alt text](https://wikimedia.org/api/rest_v1/media/math/render/svg/7928004d58943529a7be774575a62ca436a82a7f)
 
+Parameters to estimate: $\sigma, \rho, \beta$
+
 Duffing equation:
 
 ![alt text](https://wikimedia.org/api/rest_v1/media/math/render/svg/4881d84893e137772068573bb1218fc1e2b295cd)
 
+Parameters to estimate: $\delta, \alpha, \beta, \gamma, \omega$
+
 SEIR:
 
+![alt text](https://miro.medium.com/max/1056/1*dXCHv_pSYiMG90efXiFNPQ.png)
 
-![alt text](https://miro.medium.com/max/1056/1*dXCHv_pSYiMG90efXiFNPQ.png)
\ No newline at end of file
+Parameters to estimate: $\alpha, \beta, \gamma$
\ No newline at end of file

From 3d89a9f3101047eefde4ca8ff8ff92c22a39ee02 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 16:58:10 -0400
Subject: [PATCH 24/73] Update README.md

---
 examples/ode/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/ode/README.md b/examples/ode/README.md
index 912acf4f..0d9ad007 100644
--- a/examples/ode/README.md
+++ b/examples/ode/README.md
@@ -4,7 +4,7 @@ Lorenz63:
 
 ![alt text](https://wikimedia.org/api/rest_v1/media/math/render/svg/7928004d58943529a7be774575a62ca436a82a7f)
 
-Parameters to estimate: $\sigma, \rho, \beta$
+Parameters to estimate: $$\sigma, \rho, \beta$$
 
 Duffing equation:
 

From dd07a7fe33a71397a8df1dd23821db28072f1f99 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 16:58:27 -0400
Subject: [PATCH 25/73] Update README.md

---
 examples/ode/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/ode/README.md b/examples/ode/README.md
index 0d9ad007..912acf4f 100644
--- a/examples/ode/README.md
+++ b/examples/ode/README.md
@@ -4,7 +4,7 @@ Lorenz63:
 
 ![alt text](https://wikimedia.org/api/rest_v1/media/math/render/svg/7928004d58943529a7be774575a62ca436a82a7f)
 
-Parameters to estimate: $$\sigma, \rho, \beta$$
+Parameters to estimate: $\sigma, \rho, \beta$
 
 Duffing equation:
 

From b2a836ab9618d418b2cf14bf0e27bb5eee659843 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 20 Aug 2021 16:59:04 -0400
Subject: [PATCH 26/73] Update README.md

---
 examples/ode/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/ode/README.md b/examples/ode/README.md
index 912acf4f..7c28e58e 100644
--- a/examples/ode/README.md
+++ b/examples/ode/README.md
@@ -10,7 +10,7 @@ Duffing equation:
 
 ![alt text](https://wikimedia.org/api/rest_v1/media/math/render/svg/4881d84893e137772068573bb1218fc1e2b295cd)
 
-Parameters to estimate: $\delta, \alpha, \beta, \gamma, \omega$
+Parameters to estimate: $\alpha, \beta, \gamma, \delta, \omega$
 
 SEIR:
 

From dff1fd97d8443c913c7f7c75a4f24093a5314096 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Sat, 21 Aug 2021 13:14:32 -0400
Subject: [PATCH 27/73] Added savemat

---
 examples/ode/DuffingEquation/DuffingTest_fit.ipynb  | 13 ++++++++++++-
 .../DuffingTest_fitRandomSample.ipynb               |  6 +++++-
 examples/ode/SEIR/SEIRTest_fit.ipynb                | 11 +++++++++++
 examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb    | 11 +++++++++++
 examples/ode/lorenz63/Lorenz63Train_fit.ipynb       |  6 +++++-
 .../lorenz63/Lorenz63Train_fitRandomSample.ipynb    |  6 +++++-
 6 files changed, 49 insertions(+), 4 deletions(-)

diff --git a/examples/ode/DuffingEquation/DuffingTest_fit.ipynb b/examples/ode/DuffingEquation/DuffingTest_fit.ipynb
index 0ccda33b..a7a6b89c 100644
--- a/examples/ode/DuffingEquation/DuffingTest_fit.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_fit.ipynb
@@ -666,12 +666,23 @@
     "plt.show()"
    ]
   },
+  {
+   "source": [
+    "# Save results as .mat file"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "import scipy.io.savemet as savemat\n",
+    "\n",
+    "savemat(\"Duffing_fit.mat\", {\"x\": results_test_np})"
+   ]
   }
  ],
  "metadata": {
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
index 64792cff..54d9f6d8 100644
--- a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
@@ -361,7 +361,11 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "import scipy.io.savemet as savemat\n",
+    "\n",
+    "savemat(\"Duffing_fitRandomSample.mat\", {\"x\": results_test_np})"
+   ]
   }
  ],
  "metadata": {
diff --git a/examples/ode/SEIR/SEIRTest_fit.ipynb b/examples/ode/SEIR/SEIRTest_fit.ipynb
index 784a8cfc..df78ba4b 100644
--- a/examples/ode/SEIR/SEIRTest_fit.ipynb
+++ b/examples/ode/SEIR/SEIRTest_fit.ipynb
@@ -688,6 +688,17 @@
     "\n",
     "plt.show()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.io.savemet as savemat\n",
+    "\n",
+    "savemat(\"SEIR_fit.mat\", {\"x\": results_test_np})"
+   ]
   }
  ],
  "metadata": {
diff --git a/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb b/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
index 7a75a19d..4f00726a 100644
--- a/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
+++ b/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
@@ -395,6 +395,17 @@
     "\n",
     "plt.show()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.io.savemet as savemat\n",
+    "\n",
+    "savemat(\"SEIR_fitRandomSample.mat\", {\"x\": results_test_np})"
+   ]
   }
  ],
  "metadata": {
diff --git a/examples/ode/lorenz63/Lorenz63Train_fit.ipynb b/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
index 76ae7e99..ea496f08 100644
--- a/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
@@ -706,7 +706,11 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "import scipy.io.savemet as savemat\n",
+    "\n",
+    "savemat(\"Lorenz63_fit.mat\", {\"x\": results_test_np})"
+   ]
   }
  ],
  "metadata": {
diff --git a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
index 64c6e0d8..75dde665 100644
--- a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
@@ -371,7 +371,11 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "import scipy.io.savemet as savemat\n",
+    "\n",
+    "savemat(\"Lorenz63_fitRandomSample.mat\", {\"x\": results_test_np})"
+   ]
   }
  ],
  "metadata": {

From 2343e4687eb7f5c7c09a5c227fc373f88ab57af8 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Sat, 21 Aug 2021 13:42:11 -0400
Subject: [PATCH 28/73] Added .mat results

---
 Lorenz63_fitRandomSample.mat                   | Bin 0 -> 120184 bytes
 examples/ode/DuffingEquation/Duffing_fit.mat   | Bin 0 -> 120184 bytes
 .../Duffing_fitRandomSample.mat                | Bin 0 -> 120184 bytes
 examples/ode/SEIR/SEIR_fit.mat                 | Bin 0 -> 160184 bytes
 examples/ode/lorenz63/Lorenz63_fit.mat         | Bin 0 -> 120184 bytes
 5 files changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 Lorenz63_fitRandomSample.mat
 create mode 100644 examples/ode/DuffingEquation/Duffing_fit.mat
 create mode 100644 examples/ode/DuffingEquation/Duffing_fitRandomSample.mat
 create mode 100644 examples/ode/SEIR/SEIR_fit.mat
 create mode 100644 examples/ode/lorenz63/Lorenz63_fit.mat

diff --git a/Lorenz63_fitRandomSample.mat b/Lorenz63_fitRandomSample.mat
new file mode 100644
index 0000000000000000000000000000000000000000..1c11cfa33d1a31319f031cfe88f848849a0047c9
GIT binary patch
literal 120184
zcmbT7hg;46|Noncl%|xlm-dphUXO={jEGX%D!j=`_HIcbl2G;x8D&M%c|9IQRx(;f
zNZF%|A|c=NyROe)@H^)^*Lj`mjMsHNuGi~%?&J0f#;_4M*m!`0lW{PH+0U3YXS#97
zoTx=J=Eu+VG>)6UaMm(AW54+6QH!QeGoC-s(>OG0kufg*&)CJ;*xA+7)y>n@+1SO&
z#aZV6<0d;aSWWu1FEz3<-K5XT(udOjen#<suhp$&WaOpWveNsq|GiJr&&$Xp2&uPb
z3Ax1+1i8d8q1+@?nEN7Jc;GTch^5)Ww~$pr-Sjj;IX7DvUUf)tF*q;OAG$6?ZhRu7
zDSZ<@T6crII&G+Sv4G<L27>yL;UL>L8Wa^)LP+pNc)xiU?D_8`-0LWX`7sY+PQ^PI
zvQGx-lPb23F+iESws>K<H%=%F#@;ulV18gc=1)yRzp)#!?btT7Z`p-%g$GbC?g*A%
zI*Nkj5e!P)j}yvv;?#Z_xW02ODt(T^;^~MrMMl_N{||JYy#lF5%VA(YMNsbc(D%TU
z&EnW`Mr3|)9?h%RMeoL5AvgazYP{D%ak_GBG(?3Lch}<mbM-hO!H};9n{rp9Iqwg&
z<c3X_Jmi`MJIR={B;15c8~gEqVm+?>qs@x9dhs%^9^7q#0tfc^OG`|@QbOcwDyn%*
z8;h%Gli4-e*8d7wJu9S+VaI9N$^*1$VJ=;8+eTX@8I-D)PN$65k@J^Cn%BC9LSt5v
zqVsZ69J!3H6fUESAuH&m<!XAkBY~DXC6m>ZREja(KnqrECcl~6Xxir-YE;=zW)(;2
zf#GS|-sd8{zgS9@9Tl{w={~)Se@a`AzoBz$zfsNCF3RXs<ZGop*|1oPLmKt@fte{M
z#`Wi^1x_4$eIW1I=F9lgpVMv+<7KZ$@o=LswhW12+t6`btUR7CM2_QJw+J@K4Q1Ue
zBYBT)5F2g*E^Z#kcgH)hosBtLr|WUeX*E81Tb{S-eWSzy&#0gEEz&V9qNKnhWOZsA
zDNjiu|7&w-cyuV)rFc_{sx@gf=+Nt1isU%CRZOd>69=qjao&IeaZ%oWaoVOVvE=xA
zap1bu;?3asB8E&8%e^Ox%2nZF-OW&O?(Z?;C+{$^WKM)A8$VGr@QM+gN@t7oeX(fw
zB|)^jzFzcQyG7h<l_ToiJ}9~@J|*gVUKZKzy7(rhT6Fo<B#!OgCTfkBr<l#E^y)$%
z%5O5K{SGd)^(>HEY6uzJilV%nMKohW3dI#{q0N=MN$&e`V%JO5u&;s&2iMbMoA*>Z
z`43sdDf5CbEq+#Q$ks1xIDPU!zVGPIspg~ETV^s(T^h@64okRUasuzGPvN8fY5Z>1
z22Rr0$Wt{o@U4*bTw0mLfo{v$>h>%SdlJDlU4DG!nFA;3>+y%7@*GnAl=fXdM@0`d
z(#r26sfkpmYuFxfm|LM_YSSCv375AEQ1(uk`a}<^E_*>&?0DERehGNDuLp&aZ7}fo
zJ_u|&4yhZ?!3aqS^xk<5&f46C|2Ecw#m#51|I=%TlWhT)o<AVFR~Hm1%42j_H*9a|
zfrG2nu==Pb{+iMoU;fg=^RfM~__#4{Ibnv;(U$0b(;7YR+n{Nj9j5QI$FZRf*gMSu
zr+7GE&uDvGsc47CEo{*KrWM+>o1@Al6ZFzIM7Gn%s=qoIxK{&*_f^H)>y@$ZH+dZU
zpbO%^wnOB^&+yjrHT;Wy2J4LKVExQ{FlWdua4#>1n~f51J$waZdR~H+eJ?=!{j(r%
zTL>4d3ZU%T87TU9271&LfKR|#cs1-iTzGX6)~XkSQ{`149R}l%*THbu9SCrG02g-E
zL(977aP;$QSYG)VF7^EZD%D-kw@n@=98<=tD^+pGOihf7)<v1g1}GP7g4c~K@zXUM
z+~4039}IHE6OHcJv%4n_-RF%@Hu<7&xqy#c0I%N{aOVzRe4XTthjRy^)2jj4dx0~i
zh1%hcLzd{d%oyQ|9y(cRp)jZ?PD4esI{OD^*t9~tP7}y)tA!n<w;=z71e|AF0Q0~3
zV6*5D1l`>Qo0YPm*l06Usi(t%niL3_mI!TetKr+W<*?jrDa_Jb0<XfBKzid+*mr6L
z*q&Phaz7Fw#&#Xd>_`L6Nf}^1J_~w%-3brP_QB(}BTzfz6r`@Y07)LD@NQ29sGqzK
zCNWQ8Px%|Dx%mx3=KKTIG2KwsSruc3YU82JeX;tBDTYk6!T4floc75B9cu+t3<<=>
z0V6PZ(rA3QXDq7TiA0mK@z@wO0l#e>kG=gP@!H}rG;kh;&6|R7^GU#%;(_?#y*;)r
zGQ-8&`e4H<RZN;Dhi$Db@T%l7OrCumY#q*lwdDagK649L%Ot?Sh8Tz&Hw=8ET;W2E
zAp~#f35E|lgrji{!jQajp}_cza6WUlu>9mkVL|vRVcP!b!kw#Q1n&Sp;q()CLEXk)
zxc9+AuzzkW9I5Ijcy2KeUUV7=_r4nnvN5JY-asqi{0w_x)dx3WTA7cK{cVVFJ2_Nv
zOP(r>mzyv2)m<w*nwuuX49pVl{@Nq-zI9x<T5?f%{-Iomimw)o7Q7O)y8jd^3KXHR
zN*y-+G=QyxZJ^_p2XxO5g1)ljA+>c5@SOx$sJ02B#^gXu{!wu2e*x+m%i-F~8hAA5
zEi`}YggMH}cx{LlzIQZ2>vOhPR^);A^#ifbnNaNI9EFoZ=i!v|D{y;j623dR9`lB8
z#DYy3nC!Y4D>O22Z_f>wXR;3OJY0pzc5_grF%n1Q`r(9L_W1R?4!TzUg%Q>F;a9~`
zc>LcA=-%i6%^44cZ#yi7w#A7OJC$@%HvO%bImwW=-|(lRW&hEX1<5q&@>VJ<+egWz
z`P6>@BGnobO|85|$t@2_W8YKy^|_f6KYyeZ$G_8ZtKTH=A<Hw%6!?>iGLKGEVRuqv
zr+N*3cT=0aGj;htD}A<3GvM}<hHSUVm`9qL^1zv9JTcOom0Qd?)53x`{4wY63(R>`
zsu`DfnevzI#yoJBA&(qoz)-5k&Yyd;>3c0cU!u;B=d1D|^&b5FcsCyHC(pC0|54en
zUzGj#8_E6tMB_r<l3MpBy5sPSl5Rbs%ojD(xcC8SWmeG%r%JLJcbkUwxJ8=&H|dw+
zO_CdRlWO|iqU&+D>0>}88Sbv4j=2x0rlf{S6Ccs^s|}<w^CeA7ctfjYKGBY*uk_ET
zgIWr^$fiP$pM-YfRlmElRgo&ot<qpGe;t-n)Z;DZ4cO7&n5X2M@vldg(i!#V_DDPK
zx5a^fMmX`IW6oT%(1q`xcj4PnE<9|7Gk^Z$$nl@-xoo5@-?g*m5n1LuF~gXZ91OT<
zoh~2D(`3)Xs(ds<nFlYG=gh`G)TZ{G-feqNhN+EouA`pt_dU|vb(2;-XZlf9LYL<k
z(buxG<ap~eT}aHQ8y}8Qr)(b0zIKHEI2@rBzDKB{^$2|s^2pilIN6@dr=okOsV(U&
z`QN@swnwgz(2GdEM+J#ll@xNUn!fr!rH=oaDMLj%@BZy%Q`|+vBNaF(u{*E3r^fz+
zwE6WpJuY)FVx7I_-1f0QPgio}%*U?WXSfIF`gwC?zQDTw4QBNie^%TOz!UETuvOmx
zR$u7He;xu)M;{Km<H4=Tu6#b(o+rMw<Q-K;ynB2fet1fqGhZuncQaX5k^N3bZC}xk
z&$Sdg^Cl@=D52*~1@v6zD6QAtO*KYYq;9f-j%p>-*_X@d&D8mHIBN!##Y~|dJdPgj
z980NnV@PH0Xi^RyP5olWkld9p+T#{UiZv5yU3N63Et*9e7A>IPJ64cdToQe@NuxV!
zH`9;!?c~~hFKrugl)PNeki~;bRB2I0Rc?1_smx<?O@B?FD!-9sj10G2RO0lAUVO+$
zm;J^Y@$lVN{N}wQ8{2sBF;C#@Z9`aMH;VV18_Q{-6ZrDeDg32R3@>>$jmOGQ=MD2?
z_@4Gu-qt>zZ<~inHQ#Vvqdb`V*bL<Oxwb6nW5nhQG<nn|MczO38$FZi*n5-9=$h#%
zQXaOGu6<6XgD%r3DA$i>|FxiSL4|Z?zY)8pl!#gF*<xqHba8IJwb<DIwdBvo6v?~U
zS4$f<&Gk{w3h?a~b<lUzjwik^i<E?}SYu&-%|L-7MhYWCrU`ypD})z6*9$%RY!l{Y
z>=V8$&lj?~ii8HQYr?284~3i2FNNmKUxkyaWWl_-2i#NDfkW!Xa8bq%rnY&&Q28OS
zC@>u0(F_Q$Sq5dcsZb_n!mt5*VCnATATL`4;=*h2`d>A;6ug4+^*<o&x&mrER>O*=
zdN?oJ9NYAru&~7oU%eZGlj}oq;mRp^JUtdC<}bo$D_5iO@FdK-nS%QjQ*rO(bvVm9
z1*g49!2a&baC7-=6z@$$xrf7XT<9RoZn8j=?wS~u@&~rQuLWu<1i$7CD4Qi++kf{1
zy?%FvGZrC2P<VyUWGz+k`NFN@bK_bu&7nID{bf#GV|=M<`&gQ!KbuZEuBFIc>2y~+
zi~e5UMQeQy)6=Yzbo$A8s<6CDfvMN%wBlWQcczwt)1TA!+_!Z7<rmV5>ZGRba=iLi
zHy+xl!b=o2c&27=&g<QmpC}shlLzK}Bep*aqCKCy>dg702Jo(F9_;hZlNa6eX4Q5d
z-Z|BmEo6OJ_JKD$-t*+re*?K{wi{0|apEc$TkczA!AjSRSaYc!FZrO!{Rj1Ah1H6z
zvga@5B!8hrb<LD{p`LyZtR$VqOzkT!QA_9<vhJ2gf!X^=xoaoAhAi3}nL$^CbdvqD
zj%uQlDP?OSZC{)~Uz8I_JupG)9}-F7WD+IaNg<o{>nXZn15LiYnKValBjW`*M7I0r
zVA2sPTY8d$RL_%tKnX20xkld)-IaQZdQ#lpME0^RbX&QT_K%ily{7Iw`?NY|9oOab
z>xSI+&4TaswP&<)<INqO95f%f?7tygQ!;`T{YSIv<1juqHiBQ|MDo-1kvvsBf~VMo
z@qovpSl@0K7yJ0}TNf|h>*2z46Rr8eU_)*=tHn*S-B~RAL*C!s(&oBqa?T^t+i-@C
z?AuGf+A=7x|5{quIgJ!Uf~iT<gMOG>(DE2<YCNt;m3zL5yT(5i_X{`0eEG}byXbr|
z({R5y^zU|Y@}13M#rSklEqR^jXp$_B)lCxjjz|*kpGp=@tW(9e=hDUKfX!m^(`{nu
zqFrKx)*<n&BwtiodqG?_RTPus?})2zJQD9LdMp0S`YAT-Qy`^bYGl{YhX%|vrw4M*
zw6e^XR*Av%N^3GLc{-msH<8Bn+eCxYcG9K~he<8$EOk|j<g@G^Eg8{BzaziViTiTw
zrlHEN?{ryZm>K^tbL6Sxz1aQ65DxSR<6m>9a=!i?R%%|tzZ?_TL?eYKHl(uR#54|$
zPUFa`RDPD3%*B&e^RNwZJXb!71BZ@c?^Z9~wZ)3tC7K+g@P~9Vt7%T<DKc<PBQP03
zZoO4W_jsPD{<K{pcWAxu@PIg>qwBg*Bh4nhc38mV$Ae*j<0Qx$w-`bnt%JjZGhwp&
zE|?pA7<9u=fwAI6XkAwd=cOJXC9n$C9Ik`9o-g1{`de@}`U1<UIsop-;GRK>c;`%a
ztgui+*&I!b{o5NCj_8ZVD~!-;g&7(OR(SD>4XQl1N6lSMDBtLUuMWDQe)RzCnCXro
z6WsChkpcL}&kaX<x?o&}BjyI$;jDOTTxD#IFQScbdayqJY}3YP^LnB7{q9(7r+_++
ze?iyp8>~P77Cd%6gL6G=V5GqvSX5UA?fxaOVBQ6|9exJ3|2qzwW*&j|EeAkx;a(V^
zwi~ug%7u>;bHGA52ZAQ#z?m_*p!0DToHN-Au5J6FZ0ce7J^dIo%AEpsKMSU^mmoW;
z6fz>Nfm72R(2}WvwlfV7`|&lbFKmVRKYziZ333?sRSDZKs^ZlBTKMvy9tIT{N%I#A
zG(KvJmeZUu=BYb6e(}P=selU;{P6-0L2rj)_~O)XjJF<vj$4Q0`)5P(Z_gq4*xV20
z+<b9whzG{+lzJf>8(i&ZikI)|;VC-}92~EVy2<}w_reyq_VF1!*R6s(`XVe<I}5oA
zM<8D*2Riy@z*R_wpr%ETJ8U}m=0$+n^Wm`lF+%9tLGWLZ3sldr2mKZOVeeB*c)iR5
z9-;+Ywzh;=Q)>WATj=HB2*&Pi(9g#cy8IB@f`>xz)G;tIX(EJ|{s+zmi=ebN0k(Lj
zL7!onFuYqXj9q>Rrkp$lzDF*B*6eb4sCXYvE_(*y*FVC551o)7r-=LRsbXbXZ*1Od
zgoo}~qn4`+*6#ActuOuY{F7kZHYOY$dQHXy52j&UWGt3P&%;p{;;=z)0X~^KA6M;}
zjg&VXZycV4b`*-iUO`wF?S=g_>~Xf15q1n$$Le*m*wEvR)TiHuHDd}O$6*H?PFxK#
zgT}y<bQ_3^>IP-5cZ7lewg?3g1B6+%`MwFB6G}o2_DX(V)fQjO2@~yxuNSXs91=JF
zydqADeki6Dz7r=8>Jp#jb*E7V+SIz=kfx96Pjkk&ky)ugVP}TZWr!r(&C}^|!9uc|
zl1L3R)9I>A77cLOP2S2!$tt6O=G?wQBW_mE^o(jUH+)Gtt6E9pXcw6dRpON0z4(F9
zhd)`Fa2eR}js>n9z1y2-=LE36_edTY8qR}`PU1gpG2C52nuTni!;TB)amK89>@j%`
zuZEd?N++6s{~X7uIw8F1v_EI4c<|RG8{Rb2fECo#c<{=9^nPA5ZJlzH;`g4R8BsfE
z#J;sO@5@;7mN-(+_MVj8_(W9ydr<7LbCNiDx2!0q;4S&n`Pe5S<f?DRIelU0ozcS3
z{z-ztrd(mf`~soE?wU}l`$%wI{ZYs|(k0luQ-+BBnxMbk0EE|;QqSfL9$ns0_A3Z7
zFOG%RLt~(}Y5~}tNdQyDbTI1J3gub5A)@gp?EF{=F_Nn=A?g-Pep&}FonC`wOdA{;
zD2EAoJy5bl3mf(r;0k3+Ogij{lSdCi|CYgcYvc%gAV|IR`bp^iY8qN=&Bo7F^YL<R
zJZ|~C5Ch)FqwVSWc-JKs)i*|?)ALA7oE40ED*-j;xM1I1W;iZN8%=c;abnL;aNtoD
zczizxiw@?1j(P$ZpB@7X+O47Xog5UGlTZ<nB)A)E3)wnezBA=rBy&#um8=dODvn7@
z6@Ai=iv6sms_RjMXxi<EIJk!r{Vvd?_lAa)yQV+g{_aK<2Y}8W9YHUR$B~-j4BG#3
zA<gtiq&FYaXo|sBimA<|k0ys{P|wqpzxNU?d|pODwN>;k^(k#>e@DZOf0DMWJRiE*
zgP%XwWc29En%B+vW}F?bF&V%qmwebtHIOTR1oJAtvD{TUfioSVIDFD{j@FsUuGX`7
z+Jc#E`eZtPnGnSxaufLLhcP_Ne<)uZ=F9*2yYPcm7Th8|9{bky;3V1KWb>tw?o{8P
z!fyq1ZA~sE?M$H`IniVZ0?p7iqU?5AQjWVPE($py{uww&^e-_MUDjNYESWDa>6oAI
zlVQ2ZH*eW1Uyl@hVOx$MJk*O8T7naWmDQQT%!d8K<3neJClgDBzuuL?kNBs8o83nt
zF8jA&IJ+B&8NJ|VpdN@P&0xv{2iS4f6C_1L;ML)=P=9I~Sbtaq8J@|~p>6`n=N+)M
z{UH3PKMjfpuR!61n_#U`4?S<bf!O4qP<B88`~OwN<|<u$rEH1{Id)hZH4u~h24jtS
zFmBowfqomK(Bw=k9>|Z!12)UCv3@l+J0)QE!3lU>bq$VsyA0p-UVwedW}t@Mc-&Vw
z98X{M!bR6@FjvsS-8+?VLF6Y0*l`;Qr{u$I<xOxgZ3-NSw1vApe+s6b_6tYum<aD)
z?eKA%*C6q~6)kES=859ZTG6dahEnUbDQ}t;1(bTwZL^^?p*E5fdd#Gbwk0&TDTx%u
zY@o#rTdDW9Tw1;EAZ_Lov_AA4{gUdv;)B<yY;F}P6+9xBnavcL+d?@)CxzR{v)g~&
zx$nJRJUFs98~rfg{<&s+!oh}*9&qB1weCFhoHxtq4(7z>KpyvF7_V~}$t`n2SbxW8
ze!FcnJ4J-B!{cC{Z7_^Y?F0CyvB2GXdvKhy6A#~O#oJO1`J=uL=ccM~^*34mqWqQO
zi=NX|)4OzP@l{$^b&C9PALTsGq?+9+l+<$}-8P>>;d6qi;g%0wHg=+!W6bHcpidgN
zH7LEh2ibxmDgKZlg_7T*d%0Ajy=WJ+zP5`ap8pj6xBeDqua+SPWd-^-U73dLP^B}w
zw5Z!see!fRCEo`&^mnQo4f`bZ5edVn-9Cb96{eF~pGEY*Cy6GRZlp8UvPsTqKW&|#
zPcEB_sAYRO&D!#SoD&<VZr&Gqe^Q3~?e5MyyEJ*@9Rt4i)l!=AJM*G<UhK0dkmpy0
z@cq*9-1aYqmkpc4qk|Xn)S_h^<i3iBq^{<id8;_9avAU48P9*4XK`)QWbX4~G?xwZ
zW8X+u?ptWe0Vg&1vUER@JsRm?yGY{dgVgVB3T2%Sqi&UEBxl|tR$kvD+8S7jr`F3$
zwqHHtd+V#8uvKT95PnJ&S|+~}E;o0B6<&Q{=?ZID_F^E+J`xC7U14z3Fb1le7eLO`
zwGi?y6*R|e2G_sa;oZ-@pfoBEl+_BL!}l^w{lK8FTM2z`*Fm3dO@MbkLt*bu=!}y`
zca0u6_LVw5f1!);!w{2tTcVtuJ&rbXLzf4h_{bb_%8x)iU_1gNR)^q;H=)?>5spn^
z5xCqW0!=rM#i7|_aDm52+_E7EHylO$etHmgyYGZ9K2{jpzaJ*w)WjFVm9ZcHhF=rj
zLTG+9JZvP;l;+kMIs4#qz!uo)o(SnRGr{8GXn5V>4R4cd;HtAe;7b)4`lw5A8vkBM
z{#PedC*2S_4_y(in-vO^tBwh47aSB4U+xitJ8}iL?Ky&EPmVBGx}CIRk8owy0ipM-
zqr#yrCk4NTb3*3m65&kyHDSQRdxBxxQ{nRL_rj489m0oj1-KKY3RMoeklbzp9wqkh
zcbg|1+#Upl^${?2;Y?VRyaKvut_S<#tzZzi7jE4+0k=k6f*VcO;qLZY2%G-~^cHu(
zgK9-|mr=)8m-Nx{vjxg*bjITgeemy^p=h&wEFL$B!cLnxxZG<A=C-au8EI~LbL2Wa
zG$R%FtEJ*!+Z5Ejn1Gl6TZ)r5#bV9C3Ap0*Q0#9q5Or3X;i*-<uu=F4s@eD9`PP$g
z_Lwx&9uNX~eY9br$`yeY*$T#Itx9d>97XdgX%E!;O4N9)PIu$%$mc)+#g$Ja2d8){
z(@&;58Jnnnt2CSO-$y?rd1S0tKxH#7QJ-Rwjv3yh;fL=NhCC)qyC(YV`H^m|ZX@mQ
ze@W+#JRdAj=0gWnxjI*qEw|{hWQhT{`kC<9cNW|pYQrlRJMdOd7ao;4fN#fmaLFN0
z_VM=SOcNh|8R)|bN4&Ym053k<>A|}?2e7Z;!u#v(SyE@sPsf;X=CpqN$U>L<oK<Ic
z;~reOQJyt*I%!VSXL@4vl0MI^r5!Q1X@(Y2`-UR=ulh78d^<|j@Ai@Vr5sv4ejClM
z+DzwEH_~{`G%~7NN0-N>kZw{k?Vg-WuFc7`Ol2LFSErKOpme%8XcPUY-a<2!vdOq6
zhaP$EBZ>DBn)EcE;`*GUg7#v{UQ|Y!JMPfn@wFsFFKGF-50oGMgQgFa<@zH^tn97E
ztqM9U`PP>=wwtniXMc8k@5C#P59D2XzO3KZpWmkq<p`gVJWF#7CpCxh=q=&=;#WB5
zsD-nBStzG#g|NTsaK3xZpWlr0;Wuq=yyluMTmLrU#7bR$5Ua`^3i5m|{VSc=^NccA
z-==QkFOy^FF?zUWCsn*lBgOtpY4YF61U^G)+PwkvDchW4XX{X!gEC!@|0P=Ado3#4
z)rx-uZ-`z^C1T&}=fv2nC&i3idE(lEhs8^A2gQHZ2SuNtL!xKN5iw@raWQkoY4Psn
z^P<IvE8?;h<zhs@UGYumBk|U`SE6?OH}TLz8QSOEU7F!(lHL*n(q3sr@hPq}G7o6&
zkCBwIX)^6eoKNN*3FO)-%{FSclW)#J8Z-I~ZBe^Q6%DuPRmBr(tNBPTdvwu~^UD0L
zRg(vw?Z=PbTJwTcZcHPAJ6%WcuJ#Dt8xq4C+UN5A^rf7BVl99Bk;GLUDcpH#9bafo
zVcU~Q+<I{}|LePu<143ggk3nR6#KLCUuPbcV#q2Fd$7~F7TVf!lPcaGp-VE!wCzJ6
z`EXD2?o}Wjh&B*Cw&(hsYjqZKjvWwk;$8|H)zsipu{HeegJ78&0WZSlfcL|-5NetZ
z?d@CPe8MiUYB&TPh9}|g#PcxzSPA6zyavTNmEb<M78Hg)hlFKsVf^ba5VyG#s-@cZ
zDJbFJi9OM9odyOJ_Qs9XeNm^$7!B`QpiYVn-fwfj1{GKQa={%}JspG*v%N8Gv@e>j
z7SOa&Kxqts5-VT4spyTZYJ<=ycmPhk=Y*aoY_Zoj3;bJdgwH(n&}yM3en?ZnH#-z?
z=j`9`-_OsG@v{*uH`RdQy_*nMQwqED&x6N=eAxH#Ancg53uFtoLBfj+==L@ZCQ}L=
zly+?nxvN2=X*nqESPDkRm%z!MOJQ~KGEmQ33H$D>g&kQ*aIJnF?75H*F8wz{r2975
z@GJ+ajQ7Jfxjb06?leT6x(FG|C1BZl147gu!tc5Uh#v9|5+<~PN2(0Iuu{Sh6*b&$
zse@PN7~uT7W|-?{i~TmZVA0t@sI(FA%hy2k5J%vyTcgqY?O5E{8i_MY$K!hE33$tG
zJdU{%fqgj?Icy}(%ou_vHVe3SojYQl9WJvrMVSCyJnhmGb<Jh*$;MCcU}Zf}SUH^a
zFNE*2_d(k83^+Ah+AF3+LHCJ4Fs9fU!dCYKOjZGtz@Ng*8Bc|eTIE95pVNY0^=^Si
zY!W<%t`T|<oGB=N87r*rIYb!g<RuK~;UbI+wG~cRSqdY9%!Qh4GvQjMxzKDR?bz&W
zg)hgP1e3IZ!k}A%5IAS3;IuSM*w{8zSpI#Uuw(riVb!bkLciFp!id+qg&wnx2{k<~
z2<1&I6sSB9#vOhs?7aP5;D_=c<q@FYCVl9)&I(4J8vrhj0T8Me4&IqFA@brXcri8|
zJ`CRuQKJsQ<M=`tdsBo>Q}09b&?Ye6(hd#!idf%I9ar4$i>BJvD0%IM*Ng_E&W=&|
zRdo_h^p3@l>r2qaFcFirQqe$mgEZ&agbz3aZ(C&G^ui5j5SfZ;_6f*Eai|hF84XVj
zMXx=s`0J(ts@ExE%bw?O*7rP|a@YXbhljwMVi}n6V~s##vV1l>_=`7xmWcs&s`O;5
z8=W(aq{7k5sOkC!GU}T{Z^Ms}+Tj9vVt$3R|CW<$&|TVSSVsxj&#COn8(O)qh0=%q
zpkrl!>3*slm*{lkAsO9y!N;DgZLiKsBei(Y(B53#M^CEZ`f{hfA+HpS`J#a-pFL^D
z?_Zm9#&rv(086fpw&a!imfShpg1w~u+v}I69Ik4@S&fEl8e_n3_UdunuHIZWO^cP3
z)TR6B$>#Fi`S(IaF8m<NKbro~2D2Yzc)XRat$k0~mzt??{Bw$ke@u$qYH54l2Q=@}
zT{<IO^TIQ3(u&&^G%fo&m43KJCo8W}tH*Wfu&<!@6E~<K{}wHBsHBlD_o)2*LwZ$E
zN3mv7E<&m&eWG4dgy~1J3i?W)@BAc*G;gqbBge~kb>q}oJ=lDN8k>1)a-dCb_SV$r
zqi_1L*=`eFVrs$1=2`Rb1-8;m*nuBUapKF4F8q9rD@P4><0T8+_`RYVul(b}4r85p
zmX;&`^0DK0&#l=}-hzX!81sG|1O9EL%a0W_`M%hb|IJq7jJ|TbS@MgHZfd2!C9i2h
zOatX@ucn^ScgUxvoXXm+(zshiG-2#nGTC*CVs{>=3&W4nwhM>ochvz(*twrFd+et@
z=KIOFX+MpDgQV<zm|7klrLS@)X#DL{BwC%N?|Mb_VSfqjxXe@*eUlpY+#|`fdYXOd
z1##v(GXMCMjKtrxM(U&O#wv6DLsk9}r^RySdOYm8AwSq+&R}W7Up6^%@6&FqGj9-g
zUG!myMNW_N=LZFWyiOyC%aVdPrF{sWjSA#<*Zug5m9&4#_F_k4cmCAu$Vpw+T)owV
zH?tn+oz>vhl<xd-f-F}Z`$p8WnW8jmNdD1vYFKfZ_VqkPgL4m1tK|;*QnZN<1*TB`
zf#u|$GlzamjUt0L5hSM>LJIeWN<B{i(Fvs7g90VJ@TKUn0!94<`c>jbGJA$dd$|!b
zVec4vUNVl9zC_U#pV@Rhe=$wmpFk63*VAE{&D3>hJMC}TOYh(3(SY5Bl&oArMguFz
z+4dnhzI{&Kvp-SHg-&|>Oo4Y@>B+O+YI9mdKW_eI!SgRW@UEo;xlspr@9ZG<93H|o
zi4nZ~(InRHEzPLp{^NQ7&Em^_VtM8Fnf$DII(xjG%Bxhzv;6YW%oB(3?+!0+-Qmb`
zDW=>_RfmmNC~>fEo0J24Ok?Ya7OR|~FIThZo60K6d^MKpWnD>rq!v90`YfiOEEcas
zY!u7S`ibKjzDZJQCP;GTWqbGfHq-Y}c&%^l<=(<eLqSN|I86w;mn=M9oGoOoJ|e_e
zTo6i*l?&Ql)xrVIW}$iVcfrC+4jQ|uz|Lvf@NcXkT>oMXWy9RSYz4rU?ZM!CVFD<%
z#KPnWE8*aVRM@DW33jo&z$Eo3>{)RZ6hbAiNUsuf>Yl*J%^yJG_Zt$HcSGG<y)bLN
z9^TF~!+Dwx*mA~0nrr&u_m{y~sU3+|3#0J<oLCJ1wE#8bm!V|fDl8wq26xM>!I8Er
zQQ^vBynJacx(3JK8%a1m_%8?@&Uv6hFKc}Nxi=~mDWX==dzevp6CTev0hQl3f<mt-
z7_q<s#%s!e=c$u|i@C3`Xvs+5t~Xhd`bnOmt9PdOW1~crl)n=jNr{f0)}tSDZD`wI
zPxAS1sI-5Hq{mBVkkhqA^fxn+?mkVUZef|UxqA-X?s0(fryZx`re}#pUZJsH%c+M(
z6|Fz_h@2la)1AatQaJUSep@N<u(Lf_Ay$LahxB1bZzKNeZpjPG?0MRISJs~E$<w90
z+zf|6HnAMeWur&2X2uwHFAC$M1!LJFdMqE2gmSSM!uw)JaNNB>E>H&kG01~^Z+7Go
zH%o4wVj%6cHTkNtGG~<iCWWTAbhMy`5~Mw?lg?QxYB@j`es85lzZB}VWj^W3jiba$
ze+sX5A)}wBbY4e?&Zu-J|Ji@VKQBLu34@-A?_D2=hB-GxbRqF`^%XHF?2_2E<)Uaj
z>!SFlqDcI(y;#(|Q7R4!DHqdiZ;R0p4@IZCr((dFH{zA|-$eW2GIXm+iChBJsUT60
zMjke!#w!l=>#--j)e53htHbGo{S3P4y_A|?rqI=v&9viTF1hVKN(SNQ$XK1Iyrzoc
zPCuvB2U@AUUWPx<?!l8&wRxL?5f}Ee;YkYy@Qfe8^Akt#=cf_8vpkwlf0)A)el6y$
znX5VQSR$v!CUg9|WHypbX6Hi*e0|$;meH8cFaAaG<gzjBe_z_`opR)wrw07tQFrbz
zYN6V5w@B}69$oNACC$`P<TqBA=3c)c7P^FqaWnc$zASz2`=@=mFylmt5Ieg~aF)@A
z$V^*E_d!S+Hx|A-&V&iwRzT0q>maB$1Fn4A4oQFaf?bb1sIoZ&7W0eX&?^Zn*>M9h
zGVVj-{l~C2rWuTaK7-rppAh&@2E(JfAvUSt#-$o~xQ{M!u>n?(FvX>8g}oH*@w1!@
z9y;QV%N}~7_99>OTY&iSoF5vP2cY%&04y03fK{D-7<&S-PmC{ix_IJhn*n%Ysw0|y
zwZ=D{CirQeK9+ZBB6_Ld%!TqOzy2r4q`w0}_X%tXs|1&cB7_b;4=1&c!|<njVR>#g
zq>kJKc|THMitcLIt`ZMgmuEtK_bABxJRU+r!ok!y6sC+A4SE$JFg#&2$i#)hyiMWo
zr)oR|xK4$hmu7(7_<69#a49@XPJrX8snFMH6HI8$0`-txAVeGjogOFQ#M}#TK2-t^
z<8DFA+ZyQO_7c*(TcF?H-|*F45jD6c7HreTeuoV3)Khabv$e;dB?B;HuMhrM8GxhT
zj=-mdp%|Mt4lT1M<BPy(Y}z~x`}<ADJ^s^BEinq$wNJ$51>wk*Bhhe0049C$#Fzz+
zxMQ#xI_3Aq2OqlQn#4}HBff;x*S8?j?L178&Y__r9iDj1hqkO>2>9**^1fQYIc-9>
z#v8)bkNbt5hn5Mah71zMewPsp&g}Kgx}xlBU47~5p@o)`Rl3=dTCaPOK2PMt6fXm@
z#l=nBVKrO~Ult`^S+!JDD^C?Cec38biQOw62|Xbe-n}T!|5YX)`*~lS{QiXqUs}c0
zJ7wtRtM2sVn-;CBHKdCNZD`ZnfwU|nfV^VD=&Lx5{v|G<Uri}=By0;QAKgU*n)B#&
zzYEkAT}JOE52(niiMlm@r<!niZX2b_T%*e-k4@Qpm;-O>>B&QX2XLP^qd6{f68AVe
zlc#@+=RIvJdHL}~-ajgZb0zCI@y<FP6q&+_;fb8TeL0uyn#)r(rtqjaBl(WAH=k{_
zW_u?cUKJ<H!2=qoLg5n4xwTE|ai`OrUDgz+`%;{dvsk<~e!gVp#z($$wUUI)lNCbH
z1UVSC)(}d~JmBilQLuXAbhw(c9DK&4!m6k(FuzX@49YqHEpLv)CEK&`Exs5=RWiKv
zzYPv=AA(KEQ*f_%1xhL{usQuF%-S!5(OHVvJ+}w`In@ihS7@W*6Fm%gW{7!ghWnOU
zW9w%-l+|>`5%=A&R$I!<-SNbUP2LzX#1}O_`Qr5JzUWx#gNj{Vm_2C_mV6t4vA3Pk
z@rNCzZL~s#!zSn((H9?<Yh#3h8ZK~E!k)1*n6UagJl^mII{Q6=^JA)@-M1VZzh8!j
zD+=I4Lmpf=*bjR=bHLRt3*r<rpy_xT4C=EE&WuQcNFf0}K3ok!>8n70$0|^3T@7af
z65y+I66`8YfqPHZ!=~(wu=C9ph<}g`{^7fzWXS>e<aP}DZ#x5(+lt_ihX~VCZo;c2
z55Z9V8EB4t2OI6$V8|F5tgY>a`*T(CiS#^rdZ{m-Z#Tt9gKY5i9A{j*&;xxP1RNzj
zFDjgeV})G^J{cT_mq$e4Xv=Y^d3GF{)<t4WS~&i`J_fCGgK<EgA-G|hfUl3c<NMzB
z82ri<e-7z`Lzk*z<6${0|K19>eV)RH=o_G)bpd{SIs}U8SrD=y85~1qL$A?N1$*BM
z?9N%i<Z2z5uGS4kFa08f&3Gi(?=BZ?Zl4v-pFAY!{@pHgOWY{b{Yw)1Z&@aMj+iGz
z_xw*tm=!JfyH6Di{iX_&q}zKp%n*Ds=LoN27YXW`YlNqqB6LJ;6rx(PgtmFRg~=^P
z1g#YXLa=Fx(5Lf;FiE#g=*W64JWTr`{M)DibI+>5&Kr7Q)ocN~^<7~^DndMr27~F*
z&_{DIOgo<fExZL5T;C0KRmY*Yr3h-=Dx^G79oWu#2dc5Z;qqf8%-S#Ie!BXh;oJU5
zgWa*UbuiB5Q8;teL>yT^6H}Kj!qtD)VBpVW)SR;(3l64Zee?!gx-K0xzNDhgz9bCy
zUyiGX$6}C_kv$g~fOXrQ@Ss^=EZ(k&ay5-GRrxaf8MhVwjT#TrM(Bdf_Va?uqi#a{
z)O1N@*(x!A`2#V<M~!?<o#@G<k;J!SDa$^IzJAM~H7|0=N$)Uq@+oTid66t?B{Vhe
z23>BrM_v6NQQfpgs@n06mQ{SA<v%-U#C92OI-|g970Ud#t|zZ)Q0JcawfV(~J}et$
z!1F&EvA?ewe+jnawQBwO!$MnL7;n$&{~WlkmlMz0<HRxhocMx<6Mt@V;JBgooTg>V
zlgC?gm6Zh>q?vGLdO!Z>rN=`HwfX+fUff}(!lwed@$WgZynggA`qc9ay)b)Ack-Xp
z?Q?a+L+{b{6*p;ia2fr&ag`cAU!wPPp4MR@eVuojvWA=_=UXRez}Mqcb@ezI_CG=4
zuK9H5(MgiiJwsPM7Sh|W3v@E%G6g=nN^-xLG!EUMxpj9be_IWe)jg%hyPN6vvyakQ
zw9#P6Uoto<&ssZ`dD3ZB7Ny;zpK%}7o!*a^?K9<*C04AFZ^xshelYLY03Nep5WByT
z=D9}%ep(>a9BqTyEXI#zS_kv^t;qF30vqXj^M_s@eBRTQdl%aCt8^=teQnH^je5Lq
zmnQdhRpHYW^8Efq2kB>gplPKIG$`vH>06dl`=(2DvF4PNJv~g-=DTQ{a~7rb-$>_`
z)=~Y2we<Yr5-M3cpP+sgtvNZJMtzDV+7Lz4mPb*>sc2fPKb^*w%%u4AxzsyxA#FUc
zf@BvZQi)wE`LEhY{iko0=6yTKT75q~f1F1*hfA}CS(j<=z%r`4R7rh5)l*naGucRc
zqKFHB>3fwTpHx%jx-Hr)36OHSM&{hu-HyXPxbnoqUTm-F$8&lO<Ldb#JWMg1*B%(p
zGFp?FoTu`e`l)>Q{S>YUpTy@4#__5lq0+8tIE#LMJU?y_x14j}-BOk)eW@<HELGtg
z`G0gX^DS+7d!L+wO31S*kM`DXqg`%El&><4eryV)y^m~3>7EuPZ~Y@KcBvC(O)rRj
z{%seN9xf3h6obT&W<zmDYP)1muOi9j6{{piRP-f%>(`Y&YU=N8<a@xU@sFCX&GI1M
zR~J_M_I$F_x3sXpx9w(y@3Z7*zHOduzGVj#1-XS9!lmMV!k}CmVblN*q4aE^P~j3T
z6h50Fcs*VwXjr8R73VXB>;3l#HxC{cmbw=Sc?#Esowl{Yz`JjRD78*u%SI)L@2&;^
z<ru+-(e|)>v^N~MFakPuO$L3-cqqP_3|$kqz}s$n;NsmAFyq=~Q2u)ps@Fe(Zwo%d
zpO-S&BC4P;N*70`O8bvcCv4m8gGB>}qubX=j8B?@-?lBpJy+La39iF;XVcOC!zSE)
zd^7r8*o>Xcn=s2f9i3Juqo>I-d@x`J`qhud@g-g;*<+5cY*f+x&qr8lB7*;lY}oKO
z60~2dLHL#JLfpb&-=|0IMU#Z9Vy9kDS~7P4y*M|X+NZ3diSZd!9JZS(yB(*)=g-sD
zL<vEbG>edXNCBUoP;g8$eP8yG4tRd2>E}8r_qz<QpQpgbZYxO{Ulmp{Q{zT`4Ic7Q
ziyOD}=0bTr9xhERW&QfGy1WtBuQX=0<0jmhWXeaC%~;jlj7N7j<Jv@19)G}ud;Mq3
zS&t35>5l;qtJi0*xIS!pUxyuKwAiSJI?HtQ<e$~uSxL%&zgjKN6_aInb6zKHuV|xs
z+g5tp^q$WCctvaD8mU)g1D!bkh<wv(X~W}(G${W*DgCLU=6iQZ-SRGZcU98vh`ZG3
zR7I6(_h`VR2c&wcni}Kl=);-E)N|4^Dp~%LzR0{G)s_!*&Fc&OY;LFQ7r)6<OO|&>
zDDb9BO5AFv!gYmeyuwS92VT?Rji|?lCk*&Ws}U>qFq5vc7JOp8l;?hE!y`mH4)t?j
zvoJ^g^Ujg~b~^H!b&fnX)qz#J?D$Ws4f{r0bM_<)HvMeEy$uc7^Pe8CI-tX|H8r?&
zdQX0wuf%a*<v1+!4^=MvPJJ(YppNh+YKwnD>w8y|PjDrDGOD1iY$CC+gibELMEvSJ
z-TqrhN5wOgWPO_Yx}T!v*C)w-z$qGPa+>xXJ3|+)7n1Mt^VFA$XhhBxdiPI4-P+6P
z@ZwvvYVAFG*Q<^WnLVRzMXxBc{1a*Ux6^0GE?O>;=P_H9`BRdVAI#L`d8ecrRoXlM
zerCcCYApHuUR&0+aALD?H)&Vo!7Y=#_^Yxn=P3anAA-E27`bCKvPuu&ag9E#``DA6
zy4+c5iVHXPvgaQCt+@WWF)xtU=YoHl+)=N>!;dTQYwh3k!R9l~x$=T?Up*wXYZYWN
zw}hs)6w-jv$0&E#KDvKr2N^YQp%o43WOOct%qJz#i<8UAtN$W8V;V>OrR(Uak#i_#
z#vJ;1eJ;(4iKC){izwP>IW@<vrJ$L~<acI0`ET4rEmAgWy+#f-i2F#tS03$=J3~c#
zi)cZ!NQ3HbQNq$13cB%v4wrwV-ZMLBah)8ymrIY;Z|YnT(T8Q;7;(}DEB@u+$Y(CQ
z^K9u14tM%<^MAv+&|);-Rto1YFULuF_=&vf$s`_paT4!WoXD+Zk$mZEC_5bq=5xOS
zSi7GO+YEN)<A<#I{tD?ejomc)+p2EdW%`4bJ%2$_3vbiIK1Fok$053Gxs_fQB~a?v
z82az`5SlU6k(7<~$a9<`E#CfCw9mXLE(kg;`cB_2uFp&mJHAX5?;r3H=NvK>qZg`(
zgFIU$0kiH(f-V$F#JC*EQ>7G1*Zb*`NohkRJxp9Av5H0#_x-&j^>gJV4N7gLu07tA
zHV$bhoe6cNi#Jr4_IyxX+V??S>GX(((jwnir8DNWl=gkxS^BC}K@#VnDrvgjTVkDQ
zA{n*UUb0BmOLC`XsN}5ccuB4A97&OCf<*FbgGA@|4vCiC5s7C0IZ46xGKs!cjb#3?
zw-TM1e<VArx{J!0y~P<j%*7@-H_^J&Uo1WnA&zpKBOaZeC}!7ZhzT2aiyIE*i%wV~
z?%#4(l)Lg$Z20n1EO1k%XJ>TiN~$^4KX;=O4S}@d_;_gt8%GoEQ>bXvR_cFgKZUL?
zpaUgD<2F=N=)bpQV%J3ts?z`Xx4Im**MjF7x$)XDeq5>&%3D=qI6z?`pT|TFO-kc4
zZJYUtkj<gpaya30E=M2BW&giBIR5cg&I;bZ`?mc*mNu5%{6cv5RX4u6xDRJ$cTjdc
zQ+06$xl|3J%3l)k=I9ZUM`xA``Z014kR?FEswEIoyA6UKoB;U+rBM303Zhm#hnaq#
zpwIjckl7-O_Xc#sjRU1#YOgA;S)h*7iZyZMDs5a!Iw-TLH(I^!EzKo*<LB|cQ885q
zZ%oj}@>iNDW21qu-Fl&6FI8Mp)&q+om2u5eMKlkS$80G}J3spmTrKzslYV{!&t)x8
z>GJ{ljd=qPN}Iqv?FB?$Y5?7kClC<+2qcwtkb1Ee8Z~NRMw7IYv#N#k7qxJqM?Lr+
zdj!$vpTKv!XE0Ht5q3{%23NJWU}W?Wc%#&VjBEqT=wHwz>4G!|IjqxDM1KQi)N@k7
zuOrp)@&XOa&y@PO!_v;{fIjwG+Yjft8Do5rDIV)I$ICw~@$3O>9NO9+ZJ*d+z<68K
zj<v;RMO&1&v%xP7);O)N6^4B>$J%gHY>6?#a6<z$&FX`(mD>2`i8^k%(-Q}uQpPzO
z6!3by4B9qzfT8hMn0oF#EI82wAzBTP`MVZY&b|+WWADI#zZKABRSwTTiST|zDF{I&
z0MCn|ShW~bYo)}cOEIiBy8?6bN~G6zmcq<Pg4U#R=<a?4g!y;io$Y<-HLDiF&7Q)Y
z@Rv~9^%l}~T47rD59qhB3tB_vamh9%bor`+veVUZ$!l%A{+}LRdeILH1XC<tW{CwW
zY;cjA0|sR~qf43_rgpjGnl~QU<m8E$?|b6s5>Nd4aS*yp_Q3ht?)XI86+351*+f%Y
z)C#f0?@A_EKeaDjiPyn~vAwX<q&x2ZEQj58|AL*zKSO|d6O8L$59(EwP-RvQD+XSH
zHjQ(z`*J?i*dKx11^b{QF&DN>*bbe)wt`dS7I+eu0o!~xfyLF0aPHMccr4}KDlIm{
z)Pb4M`%M<;JM91;?OpI;>psvtaTqklpMcDx1u$V#5xDh|K(<2#%>7UW_4o)bxHQ3#
z;!jX|?<dq0$>POwCA`;74Lz1<W0GQDoOjd&&-qzn<!uN2V=@3|*n8p3DnPea0eE)A
zFg*D>7zb|-!Cls4aL?{Bc)4aYF1R%cQ<jauO&^BfZ|A`{E!GQ7FS+6xw8bQMQ#^OA
z55Cmvg`=YsF+SxdB$mE{r+E*db1sA4fU}^aeF%c}vSH=$_0VhVQWzW^4Rt3+fvcVX
zw=<mJ{0B2oP}hT(&w4@F0A*<HkcA}uPGQ`+Z-V=#&%&UD55ik1x8vaQK?pASBowuM
z5#HYaA$Sex5?-E=hqT|ypw_n+bXV;S{T}s$4=I-Lub&g#E%1b#pg@?>F$Uh>p9<4n
z&xgSl3815r4%-T{Al7g%1jihQ1L+q)aSy}&!}nn1@#oNVx&=O7_y-;h$`}}~iNU@G
zn4MyYFQwVaggaiCus#sS=#Iv(FaaOYG?X1a7o9T};Wn2QnD_4gC_3-BoZdH%m-f)!
z+JjOlNoYLhx|NiM5Xy{XCL!6B(v~8GkWmQ9C?h@Rx+>YD$S$OXe3i;fe&_d>Kl3`z
zIrsRC_qCY?MQmkB%eSz5uQ#xb1u^VX!!njx7RJ7AoWd^d^kM~J&TQa(3${T@gAFc{
zU=Ksy!j;2f_?dA8#x2<fzpezr=Z}UUS=q=%cBXSRPbImy`B!fowv*uf`6zz<veUd?
z%QL=vv;<~P*Tg_QE0o5OxFmBNT8V>EYI``2)LMm;{NwPzp=8{twiDIL_TubAhjH-J
zLd;%x9>>hRiaNIl!wc@=;(zt%{^A|3a_qp1GC$GWW&n95$&-_&Dh1bQliO}X3SBDX
zQAZCY+jd7P5_;c5wt7&3jnGGP^P$(f{7FYCh(rmKX+^^na*_<Dz=p{*bx9D33;ikV
z=y-A$x+f_PuB4~nMBdgmwD*PyP5rJd^d6KcL}LK4%uaMjX+S&Qd-(FtH4NcTW6-Gs
z=vJA557grDp7|22Ul)w31IJ=|)o}d2$pWqQbaC-&WsF)bg_G|8;PbY8=67Cu&;RH9
zim#Te=hLs&@~(c5`4M@K`N6yE_;$l*{5ad!{DaHy`Qw*A@{@;l^T+l3dAD&g80@8t
zzty#{>xv=1VuR79!Vyi!xFgm0VAZ;5xG6jWZ|1GR)<X%n!fpp{Puhnst{%glN5%O3
zc{whAeFyJ<c!7yO+Hto2Z-J2@OP|YCN&kU9Y4{5L%|Q;7KE#!>e8!REM8OA<oJn&A
zMUYis6utM1C5L01=xlNvP0fp^7m@LlQni&_KCGvjaVsfMe<4jO3L$>BuaGMmO_ef3
z=-(GDvUoIrP^AfvRr4qoGLN}}7dUOB4=x&`g-y-3`PRSTe2>-+@r<;cqRkV0xcQ?G
za~V(SxU{K~5a6N<v**~ta|00sUz!LHmxRIf4bgB=B@RwfGFUF(2{BgtprP+D9G5x?
zgM7|I*|RG!;5x#=-*-Uc$P=hKBlPLb+o5?tH{9{*hs^KNZ0R>eHc3sLd3fuxJ;_E)
z;-&?g&|$;ow>z-4M@KUD*OhI0%dulaz1VXc&-AxXVEbnIvmuTFtm2D5t4<Z}coM#h
zO&!Ow_5f?BcV&i7&dlh(9c#K{$*QIpvg}=&?87-lcIvJq)7Sb2N$T&xx8gB)33hJ#
zxr@+aUI5Xja-qs|2fXgt2FX#YVTNotT*wQC`}#g0x4;8_g*n6g?{?6vI0SYjnZv9p
zCNN{R5%lje1eX>=*f8E0YR{X(1074)yw)1R9@&GCkAzhV-9Y!OC!Fc^hg`quF!btt
zSUP?M{FdDeT?3L}=+I0kk=zIVg0@@JTm%Os%OJOtVByt=@M-oN*zw^L%<=gR@t!h_
zyE~9AI<LcuTTIxw88%G$yA#7)cec#Xn<-D3$PDE|m|x#q_P28(yPhA(Qf@^v)4{7*
zdD3e3i&iq9s^!cuV-X7(IhUpV7tFr=_F+5Ex-s85_AFw#F{>D%%K8RKu%fX|uzBZA
zQ1vW=uKihXVAV=Ev0xmCm5d-HzmuD<Qp^=Kg>&bPzKTu-lz3$9PY?%dsq+I{LwFhM
z9lWp28GiiN8b12dJKi<n7w^179!XjYODCD&)&oPad4LN}Im^(cEC4|?1J8sl!qubK
zApbQUXI@D~`G466bqBD`?F8C+7vtpLS1~HA8fCUV#=SEdP^R}2w)_9WX~U%Hv9dBP
z7do<1rwmEm$BHbZhmj|_P}UrdluO6c?R^s|;i-_HbDmA^ar4P<%R(Ccdohi#Swg${
z#k8q5f~NiqqnBf6kZ#>1!sp}Z_bzub^>?KHi56u1S({Ep$kPIe?>OzlYb?57iNXJh
z@W0bJSW>$c%d$hUZMO?*SL<Nq-)?@e9rD{wW%GmoP2@{rWOz*4F3yK{H`>LnqMHF?
zQIV|@cX!<gE~-3)%iX<^TQ(t+J8W^7^T;{Jr9QjC-8U8T?**?pkG-F{OD26><P}-i
z^;{KjyFP?H7xulTVX&**6_#xn4@o1ZLcH_>DEzk?I*)7v|F7x5|K0=okMiODy0aiD
zeGLLP)<AdLQ#c>g4DYY@K#8gpOBN}!y!YDdX@?0LA2^g*esN~Gr#SX>+5{F>9n3yo
zn!}zpE@GFzuVCh<Vp+}MjqG~b7WQuNR<?uN%+6n3#}@1oJnPSkSXlo|rfU|+0<Mdg
zj@vNSs%^wt%9NOXUk|*DeF8&fUV=!eJuo|XB~-p~hrAMHP~1RV`s8r#VtIkcZkb3N
zw!n%X(vi#uSzqPvsW$Vm=CW8)qKDbPZBW9~74O{g#TyiYpB5~_&+pdYUdL^CBq<d$
zq_gqd^<2DhB_BV_pT?GJ7x2#0>!>lm8lx9K#N8b)u(k68I<NVPZn1yxz;_{&x=4|t
zWYsD6wl3YwH>L$!tY|}k9i@DCqCIoQ(5giojp+2EfAzj()f+%5Lno2n)G1UP5=`HX
zf@%2P$#lMaB6aQZqu!z3RFlV1pyFuC$`ktL@q=mNM?=b$)}#`l^BAVnk3NECnRD_v
zCg<M7X~~zddFKgitrBvLb}9HSXDtqLo`=Sk0jS~chB2A8*l^bf<KC*{^ddR5)avK+
zD!%d~w43?kA71g|?@#y(W{>#69{2gNL+<feRrmOY-w$}@@>;&-`!l|&pn;dDZs9X0
zedQIW{N^_;mcrI$irC_&ft#BQFnyUNmNyT><k_w`q|F=Ca)Oa<2*(A*t8v7MZ5ZvC
zfrnD|V&1i*==507F<x9p?Z(@v@##5kkZQ*i`(NmBNrrw;R;4U~5j3{ff*#fnqoLhn
z$j^ElX?h3IA&r@2<r_iu2coE^B$ie?Y^H{WI65k^jXK`M)4CaPWZAfZ(%33`rM!sV
zWrWh|Art83<S{fLV+a`qXwy9zDVk;5gz~$2lq)@qSg}>eih2v0iaPGLtKw&AP3M1(
zm?v&pRxEO_3*k!s6moXTZ@4K!&(YG|5aMziL4B(yy!V_coZl8g>)cpK(N2J6Z_;4Y
z!Cm0G@Br);GH$aL2|32{i?AW29CUrEVb87y(BttOJ_fvpf~wDueds%E{4BxhF3B=F
zs?0RcX)u?2dQ9=FF++JPRxR9p?g|<9ACp{|%L+GEtqknzKrf~?Z9FTz<I8?b^kZ+I
z__3;Sek?xEmo0nd%^v+4%Ve}g?1#r_W|uvjEpZ&ml$km6`lQdMPf=$BkIA#U-~NGX
z*MDHOrV+jsJ%lr*JS;zd0R|VHfV7faFuk<{rhiEQOOIF>Q@9W`2ZX}MF#$r)+Y{_w
zyTTm}XYj8c2B9y9LX?L!*fkD@q%(uz-M%4Um}>)vkK2LwWk*<0GZKnk2>VmVSZI{;
zgUMFGP(6JPEIF|R9Cc#h!JByS3`~U|3$x+gumezk?l_oq2-(c8s}NOP4LZwe!Rcco
z=)o5#Tiyq^ggY|rRbgX;bXjJwDf^mb!@hMmu`9mrY<c`RrnM-LmDNmR_6z5*bFvZ4
za?w(@dVCaH9vRI7Pee1g7sX~iTFT-sEnrDmvsi@C8JP9Yn=LhQW!EOyvGSKjj5kwd
ziO~|wSECuKy>7#T`{y93IR^?BYy^I15SUH0fj5~la5v~KcmL5&?#);i?xEay5k_gb
z>)*=}M;5E{JJJLBRlgE=iG_y+kGYJO)_ll^3g6hT;9vYlH93?ESI0S3gOHm%81;q?
z$LiJY_*CSBPfiEp#)tESyx|JWJ+%dAj!(vpTRU;v`&@K8atsTV&S9eCRotjkjfK^Z
zQ3V=tKzavyo%n-_RWg*SA?TV{bSV3T2_3m*P4)6lWIDl(PA>GKJx&1>uyHCm$j>H~
zyl~p^V==vY9Z5`e1&PB}(ABfc>FK*AbhAI4QjBKN<;9cfmC<<OQd}wNj~z)rG^RCE
z)ac*~N%Da<tfYImBJBcdJkQ0nhw+%95Q@@$!%=gA3O;gw!yEP-<#%?^;0wn55~nON
z5#QLXE~<8@6S)Qq;VyQ~<?4G<xp0|dT<eaj+_p~-xGm95+})_}T%fKD$p2P>760^L
z(>Mz_&~6Xkq{cwW1uqz@Gzn5{=D<J8NO+~a5oFW0!?8h`5aG8Ej$0muQ5OZ6O@A3Y
zQLloyo=5OVI1eVdc0m1+KVb7&hRt81!j>>yRuN&!s;X?*udyQ-SMARH&4hQrZX!Eb
zGM(kEn#&}e7Bbzl%UJ*673}$gl`KML6}xE~&2|rrWX%sF*w!tx*$=-dtZ4msCLiL;
z$~ilhk#59p?^0naeE&heViPpKxCt}l&cK3NA(LGe19KyNq5q~CJPZB9z4>~LJ5srs
zn;)jh>757^S$8Uk>jU436PLO0E<v%p?BZO0>at6`YW{sbCbF6La`?mR=gZ@mb(&Z*
zPGG>;+F->5XH=`?@R`sJ{bLt`6Q@UD>G;)nOer26zoua5jBLyZIe_Io$8p4%Vw~@A
z4b$FM<D8&c+?>>ij}toZuJ<1yvnWHJaY8n+Lz|io8PoFkA#^UzksfauL#IN<($?k)
z<oj(hh565*_gBN{=AQ_ve7S@k42mR;-H{|=w2ayc7tvYA`K0=A28}G7L@T<yX-%&y
z?UEQq%NCfDw7|MZi<YJspD*|;u}<hqT}7XYe5?^zAH(M_MdMaa{C3k6C0Zn~*6}vq
zH7$qN+Tq7XD|d=Nt#B5nEV$rdo>?Hu%2VJXQr$SMSxdOJpHexCCx^Ji>m^)WM<utn
z<SFMpzLjhL@`G#qPa2{JtH9bTx^VZp8SL<}gH`KBLFYVAh&Bv@Xnr>2&yR#wqfJnp
zm;?t73t_Rv`{Bob$KkO1c?h0W4k^=b!+#^6!K1!ruqp0=r-IjhF-(b#OwwW*^2Y4+
zvmq?t<#1;H&5d>a9>)xBPGlSOLs{3=c?@SSVeczeunn0pY);Br7P@>LyEAYtdmSKn
zL^jKr?v(}Xht&+W`$hn}SjVwPcOBVtMKc!OtHwq&OR!R(CRos31y^NGf=p97Z1jx)
z6uW@Gg)&%`-Q|*&C35ecC~%i;u6tZk&KDPrx98hm#qq?Q<fnw+<trb4;)CL)aZ0%c
zw)valq$T$Fo^wU_K5x8OGX=A%!*Hcu6mD<Yh)V=6-i4DH=$Mm(I^XiJ;C=xb4?B-1
zOs=8)=_*Wo{1E3I5WEWcHtf;wL8TT6k`pp<|3#@%xvDOGeq&5BHwV*j!9Q$Db)oZi
zB3c+bj#i8O>3qm!I<<E?Ext38%BtqjwOL{Ga8(#h_-_t1R?Q^%K8;@O4WfxRedyIW
zjtY}T(&mhzWd6^X9vKN9lBFEY+W8&(BHyBq-5ne+cNq(Y<fG%M9k|DSJ!*dm#i9fc
zyz;^V#dnmkc}6FnboL(KXnltFTan2N${_DZ9{i*8I=ra1UEEc0R_vL&Li{*HL#%jY
zYei7Mj{A<_y&he8vZBb}?xNbMD@3EG>=YHY6o|&%Di;L>*NQH^ZxyW*_lb5MP~alH
zwYk~b&A6rOhjE9!+_@A5Kkm}!8JwwFBzOJL7OrJZDmOAPhuh+u&js0@<3a+<xx?jm
zxvJf-Ij`SexHpQDpd_yhYn1fhp1l?DsUtw!-4o7*2g3%lMX)q?BkcX20{@xsfwBe1
zVELmGkc~w!U0Mr0*FV7b)juFHK$Z>Kr_N%tjF_*Wi%tz5#YVMxF_W^%?BupEX83nG
zE2-MR@`fj{f%Yj(QZ<8x?8;<s*6w8TJA{8Prn86-N$iqy9NSc~f*IM*Vud@s+1))3
ztmUUJJ2Y2<{XA6%*$IX4yJkJOjJJcx@;lt+X)0W1Q-xTu?g0P2<PRUX)dowS1>xsu
zF?eB28rt5^#dBJP7z7t_*4hf3)Nl(`vTJd`xmUP!ywC|>^%*rhx=~N?As=-}(9~Jd
zbn}!PDF_{yj%NdDbg3G>UZP3zUD_1pE%bsT3}}RpaMt}~Bt&^l=u@b`nKCw`&MY%J
zecnvS_?pq(4pUNAHYE$egDe$t!>2L^k@6OO`st)gVVAV%qnrj^7^6ytla(odh63fx
zk|n8mQj{Dm{Qbdy@K}B?2F~t8=f$7#^u1P0%4$MqaU)jEc#Q*=y}+a2>e0XF2|id^
zhl3+)@xq74==|a_{_?5C2Io4QdEg1|Ut5n6cc0^^tXF7X(|~;ff2t*>1&_6SME|n?
zaQypjG!6TOt8D+_{6m7rR4GGO`sJy_Uzvs#sL~q2E0vt4L+N??q;=Pj`k$E4u=D0L
zI>?Ilo*5#rh-_%?0$X}^){Y{Q?CI!7d+K^@Pp?MX(->1bT9Pu90@hfQ&lf9F|7A{V
zkDHL<uR(N8PLIMGH7PVhl~l}>X!jXe@^>9T0i}PChIiw=f1hxb(+6yR`5Kd?>QVRl
zLu``~_>o_#ux>SvMS10Tckxy9dQpl2pDtm{p^NzB>jiXudjTgdxrk@dFX3m;QoOeF
z3f4znN41v~$m$43PpiQKA#2~)^B4mapQG8426Q{$jFBTdFwnLK|EBce(qlqK-$st!
z*C~<AUNy2=qD>uOKmlqdbn><Z@uAk#cEOH3#Ev8_aBz%IjH07cT`4Wno#LN+(8**G
zg|8I4Y&$%t=D8aQEFk(I>q4vghtv59!gG-jGA}OX6fAEj<m|O+X}b!=+R4-P7)i=G
z-;1N3v}1Pc8|*55jBiig#HiWjc%|tAF6B;R%-W-PB>ez7ZOFkSPT)^IOT&p{lF@r!
zB36#yhPJJ7=;0D4a2MjR_h}psGT4S1{RybIB?(z>Dz5a~fm8Nn<M>Si`{2((Y}P)8
z-49OTE~^r3Fusac1aE5F-#b{-`~+*G8<8FPh+CHRqDGqp+0K!pWK9*a`>RD>Duz@g
z`0X0uL#b}#aH@(JO|K<6Iw<s_uT)JS-9r;;)UGMiv`OGLxQ5W%vms=~Pp5ASrqakm
zlj!&=e>yJY4MRdj^saOybul|KbuuUI8@kk~IgpH(4xq><U-4bkYn;+_3vbRW#nFAo
z@$-w__@OTm&FZ7@o9i@8&;=Yi(GIVp0cMU@!VMe#@Xfs+_@9>_@x!CUyvm#N{JV<d
zy!VU!d`xdP@7I#f2W(E}H{>SrgLD)4q{eOhix&y}g`Vwvr)4U?CTs`ac61jX-<Hd_
zJLU5Vsi*k9t_%G4bvJl-yW6~pQ9Umc_JLoa+|4H$55Tr$CHz~bjg}f_xFOUY+r+MD
zI>Q%FcnNF&{-r1tyBWLxq~Ju89F!fIj{^eE;rZBdoP~EW(&aUJH+A5j+yC%Ej{;>L
z(xTr_O=wS=EgdKrMH8gFXxy40GR0Yxc3?40Jhz%|<ZPx7UEAoiRuVn>lT5c_Q)p>e
zGSwYVBsGYmXS-v_;8_H@R|Heeb4K&U_VhqrpCp(xd0cyo<twk^xe>eZcS#sJo0|$c
z_Z{BW!i~?D)bucZ?8<#Qe2%+1@H=<(<{;3C9RpQcf*~K43une{@a<Fv^d8v@ni}~~
zY;+n9H(Y?=CD&m<eI;BUeox3XKY?T2ufZ#_89w!Oz?f6L(6_uFG76*^3SOILt}<Jz
zuFj^#YqNcg`mD&<m>nHy&O&qsv$Gd%Sj``ych=;<E=+e~fBl`Adg(|Op6J4^U2tI+
zTwIuw+DKL|8o_qfII{ES?b#Wbp^QDZVy{P<vCqzi%=M!Vb6Bj-jBhEi(+0AFha<rZ
zpZCH)t<SK7-a%9MGpG|k0F&W2;qKH5Snpg0Ew$%il4BA4nOFd+4o4yS{vqKUa}b6*
z?uX9*_Cesxec-%uAJp3ALTTE5Xih!|jb?}8*tDZ?+Ohy%q@9KpDaFubcp3hUzYfC{
zNVsp`26?~7aPRgDnE6b|5wG|R(=&Tvinau+&68m#rztTBS9R9qrpv}mG-BEdESSM!
z8)onA!17w1*(?V^^OY9PT|S=dNuxKrbJ~{;*y+c{uk~l+g8W(IKtCor<HNFS$1#rs
zzzP-JSjawSc00_T-AK1$@thGeIHARI-YKyheJQr;T@PFv&<qprK7p>;)u8dZ6q2T$
zg2;x0;1Qbzt!7DZ?b>=63rirhdIqd>2n6XRo)9zL6}b0KaQKTI42rM@IVUT)2^Js|
zXAaHp%t3OxC2V^!7&PY$g_nXZ7qP$@jx`Bvin(J!``rZ4SsDz3W#>Y?cqwQeSqmp$
zZG#`lX)yQgE-?Oh5cZ!d0G*K~uqe44ww<{JzYCwjoXt%T<In|zXG<`hba_^2pw31~
z8n81CLccNFjwLI*F!!xOr;~hG-LXkb<x40t37^NlRV`wl??<v2k7(xmdL^@5yOITW
zMX?-@r7SHXoJFM0VAC2WGUYR#Le|@bt?D1b(nssFPvaB?@A^Aj`}-0++{NJk<v2)<
zONZlCi{ac65!}|(gSl3pxM(cm-k61R-P3=H;uiOLsQ6D5OKJCu&8<E8!~5d+bBc$A
zwc`pOF8!EynbF2i6#wOQs}yj1oEEydn_#luP|O-R5{m?m@X^!$_-Aw|j^3~ke<#JD
z_KkQPa48j)op<5B2?sG%vH(rP&*Rl~*D-cN4Zd#__Hx&ExOUEeIKuZY4%i?|^G~ag
zn~g605^|TGZ>=ft^KkO|=1MOgd6HGAKef#YrfDZ;(*B-#G(de3sf(AA*3C$A`x!~c
zU6#?e6^p2`a2~<8Pzv27oN?pEk+t_2x@TlZ7ekHdyRRAzA3cDK?zE$Y{6p;DdKn`k
z^KeMdcBJX^QPIgApDfYGjpA<p$(`%`mXu_^Mrs7VxDmx22QOCK9yVMgy7^c%_mwf%
zn;FCf2X5h1BXhW4QKvZNZRMO>*8}d&fOp*ZpIsa$HvpD#N<!vd3j&TAL-#*x(CQii
zc{@08`{D;VLqcIj@FJL(F60zeC4i=ThQOlQ1J%!tz;|&Ggsv)s^52!POz3Lnoo<Bu
zmtUa!>tD!REyqrW3VqFdeHJ;!f_bRfGi}9DtW=t@y7~$1;e=q;Wj&jP4U1quH6xjG
z)=FkFa}9GGv6dAz#j;+n7-r|Uf(`n&h^ZvbVcObL*hdL()_Z&uTR6{}dFJV{1s4SN
zYD*U+PIv;_`by!q?*VXG7zc8%f?)mwOPJ&Mi<@Or!f6bj#i_O55xwhve8arup?I<c
z$5%Kc^QJS-@G)uk`8v<f{Co*%+`nHPCmb_Idp}zQ8im@!ywLh;5ROQgjhjlAqT$?i
zXf!PW54}voj+$L)F!UgXshmKyE$1+L+ZEhyAuuBs2^_#FFHz@{z#zBjM&D!!QoSul
z6M|GpN=KK9luYP=$q>qSbD*PMqiCUlaJSj#P0M!$(5E+3sKPsx>JQJRd!=Di95$b%
zHqECS|Ah&inb}l*HH5xdPNoeS6X@1?ptB=gsP4m1df8`82P!q_^D0^LOY1@D+BbMW
zwg&SeN-$nG4})D&@$jJ)IO^s^w5WH&tP6Vh%vlmgN4(%a^<3mXUlRHc>lgE_)0}xl
zkmarWu8R%#Mu-)!-mNe-4sw6)-sWKt5hPlawo8<8^qT0qL!)SZlmusNs?Ig9GUIv*
zhjVg28RvF*GS~hvoLgP7hEoho<a`4&xphBtIn{+HIR6VJ+_v5dZqda1-0X(eTshyt
zY3Tps#w061eYlqJxJ}`QzC9ROxIy;v2@tJ46Sj|D4*DD8VE-s#O=#K+Q+FJPBA*NJ
z-4elR_+wDs@E$J6_rTFkVV#XrVWsEv8H==H9;b%0P%jbd()DBhU#7EBaSPbg&Cx7x
z+eRkN+QxEMCb6qSQW<VYW9!_~*h1eFc6nbS6NhbK#Y>{u^ec0j#&dsGzj!oDRI^|g
z77t{eU0<PQRt>~mI}Daxt6<4BdyrBPbYG8&T-g4!8-reX^5Ugec|#8=4Bk8#og=()
zd{{V6d%771s->f6z+N1ECm(%J7U2`w%NQb6fd!Xu;_qP((K+E6b_#ckGaaq?TJtMP
zjroC<v;Sc<N|Eg&IXWxk<echN=?rNS?a`%gK7;6Ntud{&G8cG{R%9({O;=V5XZ@{q
z^w)S8z43OS<^MU5f{^`oJK;boXNQsZ5PMpyZ%Z<%*3>Wf4h^#AWH-#1w4@E_L#{R@
z|5c-bp2EFD=s`AL96&>V{=tHpZ#eVgM-;7jk20HHqK9%F#ty%SaXr;oHj~E*%dX=g
zt1{e?eo^q7&!bexISeU3gA1yQFg{xFscsbEm%=mn()Jv>_zG)k-v#vaD#d1_YgnCJ
zff{j@*d~1&t+XDZ-<hZAb?Y_SE%<=yn?DOV;vSTd|0{SDQq-?1`1@)Dslrys3{Kaj
z=oCY$D>kE+>w{_E0f9Z?>PRt(&NNHlcuYe#vf3`9(|JJmyBV$9FqXDkj-~WZLKNw)
zh=OjrQR<gbl<GTzE_d3~$v;ELI?0T>&lylswkG`wRHk18WT<=RAGBZg1(yjNjSCm*
z5N6b1%fsuq(YOS6O)kWt(T8x=x;>b*BoocK6lC23)93Fdl)1D9wSTO@vDcPi>&L~y
zoPb4mWA-APkg^z~JC|ZqW)yCjwHoWDt;d@laTpYlh|T7yIAmQWMlZ_2Gu;Q!+4LBm
z={$|N_#$?vm*cqEH}PHLBRsAC8u^}9Y)|aQZ?h$+e!LvrS*Jo}t=i<9Xe4mhtjJ#0
zo`jMj{Tu5}n(IBO-DLtbObVi}c~fcTCt-%bz}XbjIEOa5&ZS=YIkd-J@b>Gc(Yp6R
z)U(N#mOln6Q5i*rEA6Ps#f+Ttv}wm11>$D*p~a>aG+Ocqd*@uou(U$-Rmj1;9oukn
z%tEYh@WqXij+lgc!g*Q>&$Kr29fp;>o<jkD0Mq$_UzhS~eV%-wtU14NoiuNqSubvC
zJ0&jD+a|tr9K>~(WW*=zPgHpA*QkKf#csRL8++&_WO=AM-S;qmA}RXYKS)$;I8t=v
zNPy^OXN2fP^cGRhjdao3^SPpxu7#r8iI+u_%c?}mKc0v>R<wxL`27@F&6MTdu2APj
zZZ_h=4iDvOJ4bVgIX>K^v!R^NoJdY~X&iUtP&)UmX&)CgwScqLyv*5oRCC9E)N@Wt
zKXM%QbGcedFuOw+GNlH?xpgDqVx%`{NQFY_yydX?MLYxz%!Js8gJAvRG~~Rv1~Ml1
z;AKMt7+8ISNB^W)@Kse7IognUtg&H9GXzG??Q!g1W-xmj6)tcCSFueBaV%(U5{psH
zV2!J@*pTquEOJK<OE2Bc3NB|c&-ipUWke#ICKoHPD#O^;8Xq<-(}B&urp<Kae!@(p
z8i)$t3v+^|fY*EpNK=@^NmQkXGv6HH6^_f}hGI8#%wB?H7p7wFe+RMq;8`p=UXGVX
z-oe04^*A~29nL8IgqBU+*gLupWm_dlajFbWSRs6KW0Yv1z{7THSEYzrbvnOFliKfV
z(Uo`FM8yKDV3aQPZ_=gGt-AD%>C)GmI`mFOhrCRM98SL`MV`~3?@sD8H%FDWJ|9Sn
z1}Ky7AVmtZ7CP?^vQ#=s(0RrUpp>~16sYwVALRT(PGBUg9n+2Bk)5d4{sqrm_>373
zgf)n37kq>^+&Qcj%g(o8{f-uNywig5^IB1QS{tq{Xh*ZaPgon!felChL*wyX_-Txw
zNyh%bYu|t4j<S9%pDsz$mrGG-t_&S`Dn}VciZmulnZ}X|eNa=UU(+;6b%&q{2)SpI
zVtpE#K8P~hjc9qfF^!cpr5-smQo3tKFUFcvUX;0@Cz#X0dNUfSD(Fr>O=wGwF=e(I
z(zk8{YN^ztBQtc!x=NEQ1n%!48x?vgJWn}Jp1jA(kgxv$+JCnnzu5f3#OiKrE&LBn
z-+UDKX)X9E{5=NWY`|6fUSUe(bG&n?9@jj7g1<8AP>!#~%L3OtBexa{M0Hp^=L!D)
z{uC2sp5wRVmzcTn4SF@a#jMjGaP^xuoUyV46~ntQ;mmhz_UyyK8j{p#CQZNn<ftS~
zkv0myi?*#gt=_CfH8*uB@wWkOR5zxN|4gayx&=)Yy3<D&S<^Ppp_IkjQfQqWU0rQY
zLl4=Lv7o28th1xFLu_gO41tTTJ%skmv!s{aX5>|CL~R2Ns83OcVg-);E+JFCa*zU*
zl}OXbAPI^Z_!F~v!5hEVh6-cf;RC0ac>1)E?Jv2HcLQ$Wq2x*&I!}xX-&{w9-vW>O
zS}7J7T*lu9m++A=bEBi{BL1$rgt>O57-e$>ovvQP)6Z_8U?pScwQBU*a0dmY2cM=t
zMfvBiu;K7~+}+rY!C9TybM_}b6*^V#BxGn<wgRbgDikBBNp%l&Nio-u!X}$hf}oil
z3mHm><A>4osZOMUBT1roG&L!?k@%K7ov9Vr%!VRTI^sbOrnu7_S66bKK8oI68X?RY
zaiH@{hSG%3mh|<HF+DETBOD<x-?Nk`vss$v3wi$)LdROx_ygKmKSzrf_wXnqbXt7{
zF;-wR3;Roh+!0LLmy3J)cVYeLO#BFGcttH4?;cIW{4d+^^Otz6$&1IAJ@L4)Ya3Q&
zCSuN=B+NgOic3{@pqpMcYF^)i`+5)HuY37eFFJ{eLB*IMS%$V##Te*+3s1B?7Wmb#
z@wQwmij%s~?$BSnXevWrE-I1pCJm~I)~Dz3rsN^;^=!@!BiY=Mv=Q9t?Dnx#<>^EB
zf`v0{_9W_k8cdUaPb1Y2(@A!%FejyOs=zXzOir}{)cavPWmW=B+%5D45*+ATjTQaK
z8bqo(>a;3ZmKIw4#D8TU1Wxv2<O3^k#F;brVDv$Zk<GxK5u0$+hxr(*?2jFLM`6kW
zE4(pT8+W_QVbITBKJWQEzU{$7e$O7BkN<L!-@pG9?-8EQFVR21-^kj-&pp12Z*&yi
zGNWwXDR>v(OF4XJXf7|Od5G6-KgRRVPxGUjFYwNq<vcCF$&Zq#<sDu%@S9XRc&AH$
z`1)vB^nI<0{niFpy39)8VhqP#6Am9#1fb~jY`oMLg({!oFl2B#`j6d<ZUM(IWZHRz
z$O@dDC-Anvy}|2i{=+=sT^p66NP7lq)4V~ZbUxpfRwa(2_T!$UQah36)XpU3*^6kn
z$tn_E*+^=Q@pS23A~~E-qL@L+lsF)X{sbk^cjYaV5VeXf=qw;Ub_&(&FoCmWPpiW8
z$wT<v)MA@3R`&+pDB6c^8q09)9a~Hlec<zTSMio5UgEy?-=aL>Vwe6(@WYNNf<^rh
zNM1S?3@c~A!jUT>TPXpyyv%^=!F$0;;|PqpauVc*l|V)MRoL7l)Q8v|h%2oHEuUAg
zMB)RyZ~6=dT|Mx^rXOOfrC3^mJp1B5kcss**pl};tZ@Gzw$;UyMHE@GX|2{w@0A@(
zi*aO{Cq^){=`QT%rqOJUj4PY?!IhOLxv}0@SAp3#hP_i7#U{8pvkBK6S;20Bk@<QE
zn^$PgR1}Svl!-2D`>V#3ctuvcUYgxb>I1L2ozQ%^84k{W33inaVb<en@H|)!WOoUq
z($9d}wG%M)%3*Lw+z(3(_dxN+Z0O9(go+IrkfxdrU#6x(txp>4{g4Ju<{982nF$hG
zvLI&fZUEnXP`u|L9N3r-GyfDof%aJlzjqNbjIP5c<w|JWe-~7%pMZW^1DJnogT-&Y
zLFKG|kaLt_zL837_$zfbJxY)5GcaMd9$2x&)pkt3$BCsok6|x$IJRkn7aQu~%f7e;
zu=wC0_I=@Gwto5)W}`NR-PtyYnG^-G*J%^j(-GrXZiR^X`i^2B`iC(+rNQi<z@xqO
zL4y@3E3i%5`eCF0XMuD30&F^KK-!`V8kZD8>a%^|x+)ExZ{7skRxX57#gn1Zh(Z3b
z;V{(L5}vLQ{H9nHc&{M~=@a@nHS=z+JN6UzRIiyk@a8RdFt35j8{NQF?`h;V9e&Sw
zk8S04t?A%)4DaE(SO4W=Or&9<zapr5tHW7MeON9wgT<3<Vdu+{a3X@iP}xA3`d}t>
zJzNT4x)GX}B|*Au77U9#0Dn&vK*#M1;PYGzHjVdzT3*A3?$6LD{};@&<yfAeKTXmd
z#HOvYV(!+CtXaX0&HFKqDNzvXvzy6={8+$d*DYu3m#$&|E!xQVn5``IXdJWjjbpiE
zgn0o&*Rqh9D8~7Ov(4Y8vIrpqQy$^Ma&@g(<y=jcbyAY)?Rp0{^my1Gcmy&x#lyAz
zeh`_j2klBvxslmhIF&zlM0#$zVhsxm-qkUUSBS0Pi!?fTny!SU-;MFy@Zs1PI2O%z
zPDZ(5^97dBN{kv7hYt#palh?O45-_SsYODTxvCI-Y|i7X_A98aNa(ruE<V}y6l0{`
z;zHq$W$f9D-?mFo@gZ4CY*ME8ewwuZp+23NCHPn^gDG{2Jym6mplRF2&@d&TyQ=I(
z*BAKEvK~KraWIfpiGs+iI*2|R1X1|tKzeE5N9}jKDM`RBEPUlk7(0UUC)?8dTys*0
z)h9O{HClXJmMW5eW1Lev)@^+zaG7u7tm0B!f3FZvN(&s|c^O#I9EUj?%h7x13_M{o
z0r%c=!&Uwc7<9lAO?M9xqJdhtMO_7(!W8iOR~g)NN(zUs8-PiH1F+6W3e{grWBq11
z94(=Qx8|tg@?0&PS8RYPC(Lkw;1j;~cES-d?zr=&H~Q|GjB69-;-mcK82@h*CcI3-
z|Jruq{?h$I7w!Zuxpp4Sq;Ft^%N^W1{W)HaY{jUx-!bmG6fG}Sreswe@~kzX)b}=Y
zNth$BBS9oE34KVeb~0s7n?(i&5p=sYl2$parp?W3=~3YZ%5vFAqZX_uMV&Py@{gjY
z<`Hz`aVVLc@Td8G9<+DtFsgiSL=U)u)V<;tW(|9Zn?_#8{Kh=|9ubdAUQNWs5@rG#
zyn_$VJ<K}>Ir5(-d5MjdCx{LO+i*!q37n~VF?YY^DOaBRle_jx8T98GLWj03$c`EV
z^}XIu5FZTPGV|d^(F%B&vl-;Nx5Jw`J7B!9R&5x42)6JAV0)t&G)G^Bxo(w^cmF;_
zcRmNN(;wi$_pgvv-v=5dGHi~9GShL_WQVd0Set}7GudFnX0|x8HA6--6*G>#EFQ;3
z6!|fuPeJUk*Ho636~byx&R`3c%w!X8%wQ~A=(;xtvy=Qp_I8x8CPgt8l{K2hKN`kr
z!!22Sl0NfWp~5sLOEIJCo#3+KHO!W}1*cD50;{b@!6rWolyu_Z#mxv%lJbX=2hKvy
z#T4$R4}_3~zq!1V4ICs_bLkh0xu-7=a%V53bF<nua-S*|aAnbxIORQzJ95vNv%#TU
zi?s#UbJK_`3p3y>?&)zBZ}qrun+>>(okrZ?0p{GbJ43j<x5GHwv7@+cJ;06Y_v1D!
z3*lD!FXYNg*Kj&v3EYP24DOZQJ}xx+7?<>}n2U?Q!RbZa<Nj5>=DLr6;eO>xK-mN(
zxZbA&>uW3^f`&uCJcAe4Cqd5laJbX37Czod0{-wW7#DX0R>z-%7ng59qwNFXcWZ=V
z<8M$jO^Q7XQepK!_1RL-!K~kK1iP^a*z{ik>`U%U=J9tiJ9cl4z_N&Ai+i>+eZw?%
z^j`*BFgKH#%Vx5@kJ6cUaWWfrKA!FAS<U2+%wzW@0@%4nF6?2Y3EL;^sm<d)z>pzV
zVE?2Y&^q5AswJgC!$)|pTnaq`=X&#Z?Q3|`>#A7vV-&V|&q8Cv&3I4f|F%jW#L=sT
zIYDg~u_C1cH^tt<I}aY?zrvTeL8l4p>^`CHk1mwm`U{UlNKpA#DVi$yj724i^q_el
zRsT?<!WK;`KdnQ@Mf$Y)@F3EuG9tr56M<Z4Mh`O0X-KLCp{*r#uCgT8S(db>)q*<I
zEhze(8O@$*N;zwcY5sUanpvk$_9ns{sZqi_DJyjv+bwiV&nnXS8FD12Ag~Qcg5K-?
z!I8~9==J?STsQM0#+Wptk^fsf^YIl{^*_TySx?YPV7^+6d5Gb`_wiNlU92&>D|AEe
zpyj_im{xWdS9jh+`7;mDvH1~Z?ytl6+x4gy^%A9$8!$n&2?M3tFm|?(i_`mt2KGO3
zd`>^E6g=li2D0?(i~{)w4I~)};cR+Qi&W?6(UPBo$Uauk`R|!i?<XPSecPHcrrMIB
z;I{__IMCrEj?}zrI6V;$rx}}vQ(uuIX^nTF-@<yW@_Z;Ac`<~F!!2pgc2mj?Fr+#6
zb!nNVCS^IR&{C#A9TTMKFZE-%WiP5d|BRP9n{a31E8Koe(43~<!<A>N(de`ozfKbP
zuBR`f+JzF-T6_-u9~5Ch<0(wve-cgp6k@o<Nt|7H5=VSGg>H9>P=TGp6%$Kv)3-|)
zZG9C_eZ7IH-jz7h_BIaAdx%^1*5f4I20UTVg8m1;VE(S}X!`RX?sz9ngFA(pDdwuQ
zCrXPnZtK%|GZSiDW=TqWY=raXFv@WrL26q^(XmNxv?E7EryLpisd>_LQ!jFz<V79(
zJgNFWMrzYI3V-TG$+4qIYoZgKU1LW*GJ|QRu?gL3)TMw$Y9#qwo_<Y`B(?HxT<zC_
zs!`8z*Vwzb?|lUt&%TIGbP|iT4x_@1JvcaP2kKl(!bdmaaKGPL9C<GakF+kr#`O6Z
zb9xRo4V#4u183qImzkJ-WES2N&BYVS;do7IG4iHS7&Ctjrrz0%o@W!VRv{JrC3fP7
z-Fq;#CJ#>@K7mT6=g??k8NPQwJbLpk#%nyof5LY%xAs5$?cRqK)<XU`PMQ7~X%Tb}
zqRpKaWGHDzPn4V~^qU)nWP8#HoFL2+n?xH1O{Z<GGbuN5u8>=pM-S8I)4Y;-bjorr
z$+XNMtG~e{ml8lXioK}6z?E8x9LVUO1*x^@(#kx6VJ_}RMy+U_^9a|kzlQsdp1|97
z*=RLm3u;Z8jY^|9%<Q$m`lU)3^y(A8@L(06Uz*QftBU8NEB$$uP(!}J?1T96>V0B$
zvKH4>j;knny}-kGguZC{lxUHKalYv6$eW@GM(rZAYto!@lNLAbo+Vdy!I@(Zy|_cu
zrgAo07ILMr>$oFVw{ug3JnOLB1Kc*dLN2xNB6rCQxo_7WauV5%+{x;%T%x-qd|9Fd
z&$j4*YPLDZUv+?1Wf5c+1wi4sIgsSM64K9agYhSKK>Duzkh`rAVp1-{%*$2qN9!r9
zEo*^6M}NZWWwPv!&|B@>Zpe<Tux6#T&deu+v82_3Og?a?z@J^jV$ZH-rK`3uhgS*A
ze^WAx`;f{`y+~usA&vFjO=j~>BnTYYjm+s$BvTdkw$Z=Fv!xcoJV+sjx$BM`%M>?*
z+LCfGw9SE^b#q|GRRb6}^D5_;tjy^dZx{b)*vwaNdcqHGRYmu?PPi|35?1#uN12}q
zcw9J-oc(bCV*(3sw90vOnR*o;dk|i2yn{M^b$DslD>SNX!m6fEsPX3;Cae6xcbSqj
zZnq5m5VQv4<bgtdU7g;Ev}t*_9>r}lq{t={fh8xbnZo+wzR8;2T^vfA671;52YZUR
zH;k4#IZ&R!xU63$uv=X1DJI^Qj*hdTIhn$_Fv3EZ(<kJDx(1QBQkVYB)TE^kRA}=M
zMH;$6hIT%cpb4ozQNQ>r*4ww?`9W{7GWj{$3w;)*d>1QSs?kZBM+3p{oRw3CTSG75
z&zcg9d|iy6a?YVi*IA7Fau%bK&tc$=V$4r1L76WX(Yv`6CoR8*wn-J(Y*&e!=H9}p
zK@V``+$VT{@GHC@^&Yo7eMF7OE>zYMW<F&}lC_sCT{Tjoe_Co}CTN7aMi|gPW<uWX
zmb6LTh6bLur=Jo|H00Yz>WmyimuI@uq0=H-=LvK`kJ0TxjFh~9=IjuW%`Z1vlR26m
zhdNVBqyyb*up#Lh3(96jbac56B`#8><9_mV$XSv^YkKfmODo#HeTiLL9tiUb2nQ)#
z!3MQ+_~-X=JahLTKG~XsWxAP|yCVfBy-vWr-CMD}ay^dFUV}?tuf)l6(fBrf1#X@l
zjb5u(p?2jOEb-nTaQ?Pp;EDvCx;7aX>ttYMKsNfB?89|C4x#nI6S&^*EM_0QjA8i|
z7(C$?_UG5)sS|JT<&<`$q8{|Gm7o>5a^!nlg^Jp=$t%Q&T$?S0`@J3A`#yqtz1?X0
zxUqC!ILE%Z6iBBYO`)8g>9q3a40>{T7VS}(O(Ab*(nXt4y4xO1MnfmkIC&qseww3v
zkqdqMYfC=nW>hG61UU(U1`*ni@+R%5bi5AJ&BW+@s|eFB=3;VhGQJ<SQs`Ms6<FkM
z=sC~|RZ7%wto>hptz84(AVd7id8c@t&%5~F6XW=h<S>5mUoZah7JEK@w?5zUNS-$=
z>=m=jM)4iICmwU{hIp6s1@Rm1l=!mFF>x0=ES{5;C(gW-Cw_SBuy};aG4bu`C&e#*
zo)b?}FBAJ7;l;ZP?}}p`pNoZkKs-dLS8VJh#gFM!=4Tz$<<Ev%@Po!W^4U=$-mou#
zw^o|V*YGR(-=+!tuQ{3gq>BgmA0tok2j#Btt>bU;*9>0rD^7Os*~*f*{*f|Tmg!^i
zn;`<rbQC%+@WG`DGtnbf;PZUkhW!>h@mE|P+UcCZ`M<8?O71=m`_qX3+`3URNt&Lx
zsL|xJhGhNPhV~SXqD~oa`f?$dzN`$Vb6qRx<E^bU(JhJE%F?M?K8rrQ-$ngDcT<7J
zZrZMpMS=Bcv_3O|roE1#2N`pz>(6*nlyso4k=j(+`2#~&*Pv+ZKFn#KiXkY4qrK<x
zxxBZ?J!%hU_-z10?j8x*2H~I~odm9txu7a>8svJf0JrfbOsS}an0IgBm~<ORj_ZVx
zSAW9d(Gu*9Sc>`e$}+Qe3T*E-W%jmFg++W<V_kQISqGt7%(qaRISPHglQFui`@7J)
zcM)d0It%@hZe13<T9>W7s>8}|YBQ}PT1?qjlbyJ&&Vnq|*!wv`PCi~}jbtmb;2e1-
z%9dq+c1W}6tO0C{FjL%l{a+!U@(Y%1`VP0Ibi<&iPROhM0*4bm!-15K;MUv*3-`Bz
zUr`H0>9s&<b2F?_ZGm;UEg-kG6*{R6Qs;hz3sXPC!=qo|9(01bLpN+){2k`E|AM8b
z|H8vM31;<q0FyG1VSY2^*t#MGc3^-qn=1U@ny;uaQw2?y=BF*_2D&UEMW6i_Gl;Er
zF=EO!#_Xq|slY@qWBS7UmBZQQZ21Fow)?6%n>@*!x$P5XAg7zM6AmWKD#eIh5%jCX
zrTPpdb=ihRT5Q<~b;gqlYrL(*##9OOu&&FnC1nFxK>R-lr(dwqtq0Qj{)2v1!ED^x
z0ucNjHs&;dvG*%DwEQ_tR;h<WL!W?TbuD<mehfRK9}9CE9)qrCEetoV1C!%V;M0+M
z@YZ+%yMMfbTK`5kpwa}YV_Kp5)+ab!`W3zk-L_AAh1nP$672XSDYi0RmX+O7U`ob<
zN4;5%Eo#tYr6YCO=}iVq;gry6J!i^1<182mIj<Sv)@-;i6S%9_mYp4J&n~vuvku!~
z%%R7gCA!(O*^+jwZ2VAWsA<jiFSTMR)6JP*i!tjp9mL)UOicSX8Z2gm3L7D%$kuO{
zVY^f%+4|YPpr@e|UX`{(&X0Fcbnzv;>aGK?oA=@9uv@TwWF-_fRDh+;b$G0I1)|Sh
zhCfXgq4xR(_&EFm{26xvj`UoB2)9e{QMVLcCSQTyDc8Y5UkpwzmGGyb2JBS?KE3eF
z2K{{w6G|IlQF{w$W`BWGLdLCUa6kNrlVYVh@+|y;G7HXAXEWF9uuCC>*nf7W>_@95
zGmEuhlWyBHCh!A4EE>t)W{hSdtlU_Kkq7%PLd5R<Ct~U6L~NnJZ3-%LV^bu@u+xbn
zS$e>5R<YcUz4<+utsf}7Gibnu4%1>1s|T_#r(~IA?LTPS`3=%bTVP=LOW1qq0c^Wb
z3Ap3`e2DWf;6fohQa%EA$K}GI&|P5SwFBP%OM#rE?T}Kt4ccDDftu4+n4rD|6uq~=
zn3}Cn;1v%xUI{Sp?RLo2Ooj4y8L-ql8?49e1+&J3AgOr_p0u2TXCWmpKI$r1SQ9iR
z-vy=2r_ej*Em)_1f={vE;o)XUrXVXX@Gn$Yag8=BXftGW#+GbQh%HOo=)_!>k74r$
z0(&~zn`PbcV{i5av9gW9>`>rzR`ex=-Es?MO%@^S`GKkIS^gxZKGvUQ?j6U}$b-2G
zolW%sTV|(Y#@=kvVL9bWjPH|Rb6#}-%zps~?p1@N=SBG2mJgv1v*5<Rcqse57`zjL
zU{``G%oaLfb}O|ZP)8Qz0=l?@o|l~Vvzwge$;;eMvqCOX`T*CfnZ+3xq;Q*B<2gQW
z1J@rC!xd39cOicTxAaalC#x63$*f$@g@(m(Q~xG%H!{*VBh_rqCMB24>(A$gY%1dB
z4=m;G6LJsFJm4zdz2+3wf94Fc`najb<Y4+6b+{{U1lI00a4o|H@-)W5&9-3pHe?~}
z>|6)qN|He0em1lV{Lzh_Mes!b8YnHg4XavSK-`f}u<_tuXz7q=D^6>&S-*|h??*$K
zr^YCzf5ej|`2;biC$rd`-o=cj#W2d=!q`E9HQ1iSY`>?l6}wW|kUc5PvTZxNzdfFf
zQC!RZ87*dFej4kE_hj-?4s6$3efF$Snr$g~3yH!vF*Pn5il5JfcR%#ur(`*oxIv%0
zvD;M~dMcc^%&g*9oRP)v($?6=c?<ood1%(V0ey5*(f#di^!{@QXJnkjgC!-nb=x)k
zrdNsa$#;d>!gZ)+`x@7+{eU0te#Ub)Js7m751o?+(9D~%lp(D|w?(RSV!0+wO4X&a
zDT8SGJQHe=v!Lb`gDE=0h8%;0oPgjB@wtxFE$u`G?M_rNW&~AtJJD+mCo13TC}@_$
zsPVNeojPkxtrAw`)n-bIqYY_Zu`r|ZvIecs5xn8~@^r&NihK?FFjey#DlBZr&(?2o
z&x&Vw&sSi5Rn?$+8;|_8YuLeE#vL2a<A0H7P(||;b}cKw|1oqXP&Ktt7_Lw$4T@+$
zO3|DqMEC4Z^Q<JHQWTko(w~G%p-D+3nKdX%Dnz<xZ!$#4Oy(hDGL!lLtkr6*R;|U=
zJ?DITzwh(Bira^`P50v5%st5R_Mq07y?8feAJXhnocyXB6J-zJ)Wg-d@LMfLTsel{
z9GmdNsMGkkxdnecYQu+X@8E=^kMY}_*Z8ma6JB)r&7XaGP*{v2eZQzeTRETq{_}z4
znKGEH`VFH!StgWp-IBK4v?bNV(R87F91U>=IxyOqCeC%Gh-Npcv~#D1DmOYg+?6Kp
z8Bg;10-4n~(xE7O8WU_q8l3yo8pFE^t=e?qLto1I)|=}8$a2R27c~F-9Pj$w!nae-
zW5bw6^p`z^Hck7`F0Kf}M{tML?R9u)Win<N#bKS^9Grb=I=UN%;GN!qXuZG}Qyjf8
zIl=?$uDD}Gq6g2dd7<JIU#v<Bz=D&(n5q?qGc%*mL1zKJZ;8i>E6Mn@Z7r%T$U(b`
z0z99&9oG&hMf*wB80p!7y?>lS2i|L5Rn(44b6(;b_7%7DzTeK6-el(4my8x^Q`*I$
zBzke~*$o?d?Kzg-u5+e_C~rzV97q;pr_kMt;iP3TlMb8CqCcBw(<IN?lw=l7@ivhZ
z8a<6(@cdiMDKCol1$r;qkss%$C9l#Y)lgO1IZl>-*1p1-%{+hd{TLdh?ZKbf*|^hZ
zDc(EihXErkv079|n;D&AkAo-0ZJ#!ZyRs&WYO^)P-=<a4zFjiXvgS2TGi{eh48ER|
zv|A_&(sUD{p65ZLpF|7SJ|_#OvNs6up;(yYUm<+BeN;#|(kw*uy)IN~J{49y`zV~6
zC<|kql>o16f}i$aNEl%PSz7i`^@DpVU-?7q?{FC7y9jnCCPSG*CIn3@fao>5V0O*{
zn6kD3Y!c7HnAn?Ov%CX>^1i{}X+2rq7Zo;2X&}?eGhi>5TCfv^quHT$XLeu3pQUt9
z;l21MR?)tIxm(1unomjGCBj{B_Nh!)lFHbtWaj3V#617RvN;NKSnAPf?8rhN)>S%|
zDYu(2t91idF`o;cRDJ=1=4nW{#52~}sSqdY4X0Q3hk|}BLVtw_;l{i~$*p~5(q)4t
zi-~&W;xLs5qIVw!{PN!*OdVu{TfJS;%zH9MO^?ANXA-d2v@}c~$$MdcHevF$Vr)3Q
z4}U-Axv$ansK9sdKTe;)aY|RPtojZ%)IY_TLEMS-;yWs?l_mG_3iNZR3SH9EB+U_=
zv*|E|c8)fpd|fjNxnNCGEx5bDbSzyj7f5-%Go3i(MpJuwlI%h+I(f&79@%@5*-8&O
zP~}Qiml^rK8%NLdN0DK=HA%*r(7D+|Np_?*SvRSZ&PYYd<2gF}iZ0IGe25c&T*l$v
zh~evNG2>Jzj_S#G;{mz2;6OU23`|5x`&`t>2*aUjf%q=S10%-+R)}Np{t-J|r8W{@
zG+1KFZVQw@W`ViyE%AUb5+irnp=s|i_+q&PTR(8d`ywAS{t<*-o5IoGeGVSeTZY@z
zQgDyOdh~psiw~x4#m>Y%s1|g9`wx!b)BwUSDVH#V&-{K&eTCXRzhjhB51Kz!nO?VP
zQfq-8E#GWJDovJD^L`ZdQf73o!;>5*1X7pgR1&{N(5z##C`4x-1wLEAvt0|RfPeOG
zpG!tf(X_ZYoE(cL(d>6#)bpW)CN+*E-*!V9#=9^3M<~$3yC1Qa`7In##>*$!d(lBP
z3mr1&Vs89+G;SY+TSop6TU44v-}`IDR#$VeYITKF=G^I%D&8rQ!b}+<DBV$zS-D7X
zGs+VN-Y*kc;iTYF*(N-Rc`oRj`!1-Y_X3A8YMe)+4Ke|Skkx4cX3As0`>YF`atMH)
z%fi8>Xg*{$u7Jls(&6I44KPY>D`fTB3rFZ6JO}>1$!-SI16RRz-y^sd-vt+j{e?9X
z6<Bq*8tdCVkoh?qu&T3W%sa-Og)0c`;0g~GxH*6+44TRmZbq_ei81V2%L4X&)e<%!
zES6m!8Ows&7qdO?^V#T>Xr@>e%KE$wU>6EqnYQd`_94}T^T~DCeu*->Ch3Oh(srnw
zC53tG_CZ5%CaioF4Z>YVa7)yL8=;Q`!woxyA;unpb#aqK=EK(p%`cVG{pAMYt+E)A
zlh(xAZHGniR;xIF<_l51{I58Q@4|{^YN31CQ2g-D91n$!#_3uv*yS(*_uUW0>4tOh
zx={l6WvxMs%)(9QHeqSwc0BG;hF246@MlmX{(F8Fdstn^-lHC4;NN#V_wpO-ANHcj
zS5>H|x)vSC8BF5n;Z)4Il)sLSrXp`fYI&Zd9UMRt=7vz(=5RW_b0(?z&87p3=Fo-P
zbI5a64E0osCXdt8>3c~C4Z7h^_tRbJ=dUreFxi4~BlIcul?MF`??sKhK43}TTYMMR
zgvEzSF{CmVE0W@I#+wOvbgLz<Sfqw^c`rn{7j<I5lC|RI6=TIA{vFbSC$3VN-D*w;
zN5@OhqFr)h%0OX+8VK=Eq6Fh(YlI}j0^wBmKH*(losfL>lrX~Onh^Q#iJ)rxNyu0$
z3-3dfU}dc)NVg9H$;c7Vm~IObY6K`c=L0QIr^0dVxzLf8$agbq!Mi#awEq^td7V<&
zt$rAWy={Wr`io$-tQ`t$-auy8Pk0w7&*qe?F>#(Yd$`e%t?y;YMjsf>`b~FcN?&}L
zzikMcbw85zDx1rC!cvwWoWM?PNn%jHid|o{iap)2g6W&bGhd^HOj0|O9UCy2c^~#*
z?_ZB*t87QG>3_9Yd~GkL5%d~1hn<J^kNY8OdKUbyn$Epb=8(AexA6K-xiF~HUXaN!
zlf3mQm8$-876W0k*oCLX6T`d2s~Jk@o}-5zQ5M+Z?}SIPd~l%uGz@E<gWE<X;G&>4
z2nRFq5N8l?_)>(%J@z8Ztwdw{IxJdn66<x(;wjfQ?Dc{7E%o?J`NBt>@bwQGd-tN!
zHf6e&szJrU+Vs*%pZtdpr#F8r$f?4Pd{xF$rxGK#WH%yDZ!&ZCr_r8)<Tf^lJox;&
zZg~(n?+c``cz^2n;YBk9SDHRULK^Eh6Y~zwp{5U`$*4o!4eIoe@3nPpe&EEN9k`?E
z8a5$fNb4cI{bLvI3fYLM@7Lh`q(zv&atgk><ciz4-?+GQ7)B%xK<~TC*!n^i)8#&k
zetkQ{-qO2b@zpkQsLln^WZoI^%#KrHS{{kP!%vA3-p%6GH|NCt-K}E!{Oe-u_<N$5
z_*}f8{a$=G{Fitzg!?+5D&y&K{c!t|LHK9Ga5N~fL1pe*U;2yR9HKZsS930A>94@O
zSJ&d__B@<>ycj(b%Q4lo9$jw{zkjsh63@rjJ@_N`OqZosa?12Vu0P#aK7?X}O=(!N
zJ?*&3bF^kYG{t8!`F)F|DG%n+g#&RE)GLXkXOij0l2o#MluCK;Q|PwgYKqMKkNj;H
z(8Gub(pwrp9qmAJIy}35NRRS(V4yzeJ!<W`h?Z+Bu##svk9`hClcPg$phLSDq?ROR
zAFq&x)}=`j-+Ku!%=QWU<?jhQp2&lb@?eM#wuNF%cX*sL1)P-T!M$@UV1Nwowtvon
z2RApvjm90I-%!f=9aR9fM<J(G3g(B;fyV1L__n+qEN4H5<%hcfgMYyD5pwKZs{$Lf
zk$cA%XtGnm+RPn>u!%ZGtm&F5dlY2NS~Kif4QC%rE|;+PQ^&J!A+9WFy*n$o=D|#i
zJX!ft4|b)_jfK2&W>W?LXD5$kfu;7W)y|6L4I06!QuW!X^#j?0AnvJDRAhNM|DYiF
zJ=pAe1Y<Y0!5iOGFutoE8rJNGKH57#sLO|}zzmrBIT^eM$3m{-ESNHU8r;7e0A)H}
zu;hy~Tyhg&_n)zlDenj-0b{`L$`}~9Y%C~@k-$IA@!%rs4h#SKK!|b>D4B-Bj__#E
zJG2NQ4Oc+y(>36EB@=}3d}!Oe4NfHO1JbU7xv|G!XYMJG#9oHoL+`=c;#V-`@i(aa
zBF7wWDe+v6CNs;{Wu-2|Sf8O5?6kZC8+=p321UEG#0-CCr#6|DNyFH*u$io&W;RPn
zp37voXFTivT=v-{hJ~%1$rPT2vc$w7_BYOpE!7a%r|mZE#!Mqtb#wrG$Y*<QKHZR-
z`~bwp({RG&0Nn5?fYj$JVS9Qol&-V^orb>9d*~}ctGZU$xIb0cKhjDVr_wB$(EP$F
z%&eC*xTsbdqtr(X3UU;0bViBRE^Ec^7hA>02P(x8?TzBux>m7Q`~%T!YL_@@%Rg~-
zwIX)B?~7l`bn)&RBaFLdjrnooQ2Uh!nz{s|WOo!=_lv{9p{ckuFbku96rgq3E)+8=
zF^YRI<K~=3snu0{{_GL1&3KP`>M~?}Rgn(Lat~OcF3nFhqW`L_sFdGxtUO$3SF|6c
z3<{w`){(R{WDf1}SWGW#myw(Ia$0&Rky_*uY2f*InyRsciay2=+ZaxJ>;vhZ1K+Ft
z;Ae=}oP$2UAI*E-gX&#h;`ZC;@OVcBhBoA&arZ3TkmbNxUP|bYeOmmS5hsow{8(CZ
z{{6V3`WKSQmLQ>h-4>yuPAc?U{Y;2HDF?7g0|HWqg4Jm&_?_tlrApplx+ny`Jc$P5
zj9B=5IvIlgt%F19xo|D2kk2c3L9gliK{oF&#Je_v{JJwxKD7;eoA1H;GcQ3Y><cKK
zmSK;J6_{<UDx3VfKby0FbF97$V}7g5S?32^cF1ZhbJrfvGS+)A^GSZ}T@c^ChfQXO
zT&A+AFQzd^!%$|_F_pFGhp>^iC$d;AKeph98%rvaumJ8`95Kv{?TylB2R-_;8U-a*
zvi}cM9eD}S$=6_svlMbn55S&@MG)Aw9(MW1Ld4<8u=<Duyx9n-v*`!TGvr{de}`aD
z)gmZn92RPFw+qvjWC|b7EE5WyrU?ZtF2eG!BZb8w20~Xse_>RJvT$xn55eQePf3L5
zC&?Slcal%%-bieX-%4KodMBwL`dLz+_)~J_hpZsa6VabGstOAiX$i^^Lxj%@OoZ!Y
zcEWXC#;;#~!b0_M!LE6sFl|G!@N8$MK;@eSA90W1|F>GOO>PqGW?mAuo_{F3xbaa?
z59t9ir&U46Sr^<sjesqkqqrl-1O7Qp1&=!m;PajosF;`omi@PZ^k+FN<@3n=6rNvk
zzYBiLJHaK7&#-nYbC1XXX7k*TZU1A<Zfuh<agz@lcX%rMSsBA*jN{pusVQvl+qKM#
zXY;pS+ra0<d2H&oJf>Z-fmzgY&!9AoDZW_F&~P@>eH_4c-FIZ}4-MGd?Mm!;Ob4uV
z<ulGTS#Z?G6}I&KEVMOG5R&d%O2^x+7aJD67k4=tWALB}7=CXV%6`kjGt-Mv8eV~S
zh91RVyhpEA*ouZ5Zei*5M_9h<6`Jh*fKk5PsFnQ>V{CiS&L#3RDz!J|bH=!`t{M&9
z)0c|BYEo@~EgJK80KX4uQ<sh|`FiNlZR<hwo@cc;nhd6RhrwjqJ&1f34I=j)dUQBV
zmvl{ZNG*3D{cGe|_M`o1Nty<^TdGrBqY8bsRi>M}6sf0zJUJ}k4EGKhvcLTsEi}5Z
z-}=uO<jmjSzHc$2>Los(`y4&8p5P$ONBFJR15BHB5BEE?W7dCnvDV}+s{8WJ+>^T~
zecq0ng70I4-9vnx^cWM&pP>i5K&pR@=hNR|W%Wl?G5v<^AAjPAfB#UURF3{}PECxX
zBAp$gOg~js$z8TD1-;iKtE*ZRzEhhzdF~?P)?li%97@N03~3y9UKk%Srk-8H$>YKZ
z%5gTKn?WXY_U8z?Wjlfv$qc7IGmNNnx*=`;qfZ(xgQ>TZF3tSR`wmO{(UkM*G*(81
zqK5Oru~#qJA16ywXa2(bT3_&Y|95zB@eAB#_ZWj0wBwjzH&GhF*?}Wk@yY7*IAhKk
ztbcI|S9Bw8*(svi9VrHtNYPqWM5T8kK8+?U<k!eIU(eub#TLA^vlX3=@@%yCO;ieP
z#{hoa9R8pKLtHxXxCZZRz)v)PCPO~0Jvk3ekxIJzP^o!eN{r$A)jirYq;(MK-Wy6Y
z(TE<-H=)KhbE11zbY!Is-6^x9c^=%oK4}!KI5mpSuNy^nyB#P}$)2v9x1m>0thnpU
zoZ=>oApd4V+Q2zazt(8egrAzU%3YOyCo7V5qa3~J`xBFRX6FKXjw&kcsI;IB$1OdF
zLrg@>-*yZ=TWipTD$y&E&*HxA#y++?P|ac+Mm{dYN{=lVAGsN0j5lKx&tg=UY{9?5
zTQRqM8yXhuKv~^A*yYF_WuGgspYtIsGChK+6^*z-JcU;CFQ8ZTHSAh*5C6S>j<@f1
z;l02gC}$`~HN4+(hIdysikf8nOq&L3>eEDtG0#z((_%XtT5@F+Es=MkVJ8_mUvs5=
zQ%};{?@dM4zVx=rmo}^UQZFBG%8m4(zrik4JXWCn#$zbJ!G>%$m{RT}16p`QoBN>E
zc~)D2+PeN=>#|N%$+?H&kr%PH|4FPoUB#bicVo3@0k&Ia@XXRGyf|+@TIGjg(qTWm
zQ8OOfmyJg1utL)pBk*dNA@;E!f>yzLc&SPUJ4|)(r&I^^!}ajb-@zzuGr+zU!%?Z;
z9JQ@&v1^|r#`JT>g!MkyyZ2;#wtEI<gf7CqUMn$i+**8<v;kEX72+fQ8v17+z~ASO
zV(Z;gxaiCkY|eXt10|g(wEjZm*(bAOs`U5p09wR<-<Pd5rFXV=bhpEaPRF^^;=>b2
zDS8Th2#BN!_Azv{WdUutu!L51$I|4%aiplVloT&5pat%;$zV@7XX^#g**14t$~c#!
z(TryCYl#_CA-4~|aJ1S(+~r5;B3Fi&XJ(_l*&IH@b3#*-{&?Q&iKsq&m+0`^O}tTb
zRH|QGJ5Kk)af!iMGodRmR&e#*COq_O5KbB25d2-cgn1b~;M;#{@Kr|_u-F(5>)XKc
zOHL4X+7o^b4Tdt#QQeZWnC~A~fz7wIz<zCj#x;e|vTZj!@v4MfJL(~`SOoOG2zhn4
z;rq?!@U!+4EZZl;L>EOC<G^=`JiA@;K%Wg+YQlDC+OSO}j%=%}Gn*mn%`BG%vJ#Ui
zEbLV{Q%s!6oyN16)HQ|;9}&YQa*s!J<P3J<a437}G>JJ``Y@#vj8z#rFb-#8Uykar
z);Klx$6Ah^@_7So%2z?NvjKh??S;ONvLP*GDJYouf!uHl@EffLCG%bh9S@HQW#QSv
ztB+nnQfx2b#<2~Oyc0=I6MYn=NBixRmQ=r&UNspcE-w*8hX>O|h45A4-)lLdN&oF)
zn^~o}&a;7^mClMQC*2flil2)=i@u0iC*`oJMj1Cd^~ak3hTzRuQ(WlofZG(E(e?5K
z99=UV_0BCq`z^^h{7(kf8x^4Apk4U#LnThDI)?V)XE09X23DVXhW%5&@IGh{x|r36
zBIj$-*hYOCI?IeUO?05bNJeE*KJ?6ZGTomYN&OzorQNo%G*~l{h8V0S8Tk}??VLha
ztdgnEe=EqXEtXU_%%Sj4p|o)d|An!U@cB5;S`E^rH0|ExP}GHg)mw4efCHG&GaC~I
zhvU+c5g6_AUd;QxS!{dPTZE0hog6>(5tvh|P#@4BT%7Y-7_FlWV-601dB<&_JJSW$
zM@<5^v}ovUxD31;Q{nyf45*IX2qos6L7}z>E}B<BA%Avz?sfuZPdN>5uC&7Nnp;r#
z=P}qEe+&9gzJd8@S*B;Dz<T+sFwa~~cJ{e8D`EP~c(XCvdeNK(T()74){JJe+nku)
zmhmj-s2e+@;l<YG_%N?Ne(YI-ANzaCm;Lv|n+09>U_rZG*y|91?e0H@$$cBi{tY%|
zn#YH-z^;L8)hjhN{fa!hwBZ-TJ$VgdF5Lkc{%8G?T*>)lMd3@0i_j=pB^;kqEEK*!
zCiD)vDMXrm5r!u#fs(l%C{DA2N&YVI)@K?NY>R_vwjL}i3*o=R`=MY>BY66^L5eGP
zfcwa>_fD!Tj<ckOPqSoq4g<^D8^j!J<}#au$?VkcY<Bs55i1WVXWKs4Gr5RU%thx4
zI~U*1Qg%IK#amu8#@@1fD_^pA?hjbktBXw6x{hrw*~IjOFqWUthuKxeKtaM@F&66)
zzV#!M*73Z<8bychCQ^Gy8lC;Mj;8x%P|$!3dh&7|Wei<QiT~En^xY|BJa`q&-jqPF
zVJQWEn@6+jqNsmuD5<}kNPz)fH0GDUog8+gyV!)x(+5!x?gK3f>_vVrKVitfdsygk
z7MG~k;+{>ru=Do@w1`edi;CG;lo5#i-5JUputl$>Cb%ci0N?x_gilTN@HL;o{Chqa
z`+hON+O;Ea`eG}blRXN{ngBn)^TNF<!FW?+20rXwh{a+OE;y2oPm^<S#JSBFv0*3X
zJSfM&lZUa^<|H<IoWr^D*YVrZN7!7@iDwr7#9wJWDa^VLsdJ`qa<Lw*4ltr40haV{
z!zjY<Ko-lqIP+>Eo#i~?g(kD;^_GPMF7b5qV-o!|PoW+<+`FlpMv5wFyvLhLRX)k|
zUq=ERUcHbutd1mIy+FEsfJYPdSWt7iHcjp7N%vno#!}DYcwD9clPYJT&H-b*;`>Zg
z+LIwZz4}k8{=l^9q4Q2jd7ZkDJIhJ<ogX56i;NcjtD7ZMs!tc3$|neYyq$!{D~yHI
z1u8<x&=-;cjy00Z8F7-@^xhIbNe`!6v6)Ryvqwmm&q|X9POXzp^>`xPJ5E77v3roH
z{LfZQ&hQd<#zl&Kz9)!PCF{kXft$r0C40q34K<=~jVQi5ctu=s?Xh^+?X!4(YY)5|
zu8MwrI8*kxF^b7{sJhA-PhOdb6ShR-;V%iOuec5ut<T5B+?|zh^dLUj*oc=;T*Mom
z4={G}2fjCxqoz_7a;efLn_^?Sv(%1aZJcQW?+K(h%_O}kakTPRDy@5)MdPj(P+RN{
zT9Q>tE_jeORo2pz8%Jp?HjrZ1G3xiKj@ZP5bocLWO8vT#tTk8DklG;nooP&7E8k(D
zZZ3|?y(6~CPY^!#mB9OFg|K61Gb9?kfQ=o0U=n{XpH5R|C682CS)M9WG*M;wx++W-
zmD%jcN-ST!H|yO;k>|w~*uMb^Y=Dyji@2)5M&D3m>Eo5yqyc@Hr;jRobXT1fAJb&|
z_qCY4lMcfxgP3&PP&P8ei1o8IVH0}u-4bUB4xDAj#<q-NMo%1>$2KQ+=dr+qJ&f%+
zKc1~}b!O3u&aAfQcs6k)u%rwp=BeVy>`vLUpgL<7_R*C2=MQ5KYX-3m^R!t0GgY>3
ztO6Tp{tu>^e1LfepFm*ebtoQi4%SX=goef%h@Vjoz5%<SZ{}9$ueb@8(*{V|p9PHv
zGho8W_0ZhB9@^_Nz%(HX3S>7x4%-MmW}ErfilFbcoshPw1j6eo!EXLxXe(`iZ(#_-
zHk}7Am#dJvxE)aIIjpqrf~gm};qfb3HfEm!?=`5fF9$T)n=Wl;5}?mQ&Kt8c?iOqW
z+Om0^=bAc!=kv$9u{+J)%;d@hrtCP0t$Y^3&&AW&k6B@i{)Dk}{$b3?bs9T<X)@D#
z8pt%(`mkj!E^Nd3vFzc2k?diaG3)rM!vgQAGK=kU%;rZYTuHbIz9U398(j%omKVbO
z&1>Ov#UhYN4u+g<42)W>A?>;$ESjMMEr$J|4AsH&xf=8n`a<UVeteFj4aeUPf!F23
zA#IH{I7B-FjN(h>HxuA%d>AC&nG4(1mqU<78thlihTdxmU~>Ep2>4J26Mob{&uxuh
zdG9Rvow)|S5s#pMT_@<C{t2&Ida^(HeOO{+KlY6CiPUtASpitFL1m-avC-q12EXr|
zNtwj9e+y^I{bJbtvc=3XE`bS-t65=4Dr<I2V;L-+EgP23+^?)*ts_#{E$2k`bMYc(
z`k8xOdj+ybJ%E|dHfQD10c>2E96J)vSyYB~aG!S;G`3EHRL6l(;C@zUd@@C7xSK0+
zJ82<Zs@FqQN*FJGmtP?E9I{3nTD4vr$KU_!e9}Z|(sD8VT(r3GyPufo<RAvG(-Zq;
z$cYWvSEYsayQC|7g-Mle|83H77|=9sli&pJWF?KY6C@X=ZIHb4sFTpr+Y(jlUy`K@
z)P$?EhYGewZG}ba-2^MOsluS7g+gE1RN?X59O1;4B4Oa3GNF@aPhMO&Er@0}g!HZs
z;r*B&!W~@&n3Jgi^0GrfeVaMxEFB92_j|+IurSCux){{or9!Xe8z8ZNF$`_r4<8;K
zgV%5#&JJjY#MSRW;wj6X)%Rgi6>XLmYRvM>?AZIa&g{HV5I=N8v)?2BV=gz+SP5)k
zCk_^}UJrJ&sp%Cg&HXSNR(Fh*x}Ri2mP`4)zlp6{bDSwHKFpa(r7To!GYjJX2O(>N
zSd7$wHHZ(PgJPlCAXMny|5OwLlF@h736vzg#A(3qDP?Lj;jI?6_0*+*m-T314}RXa
z*P|16bT|uJn-r=B&`eh?iZSj_eIxr(1n=%A%ks~2`q6`t{i!%eiwau?P{BHFn$Bke
zzv>6kX%&4+Oy#aOc_Y&2>}(x*QyM$VoE&yq(r(^~FbuV!V`psX)nz*}pJz{!Tzg6x
zX;0B!cGSxA0TGw2>Cq@l^676ziVKI+DSj^Z6bF<2Ep1v{(vSA=+)2ub-ZadzC*_9!
zLD$kxSQh*WPZvDIYn)qfntR{$O3z?Fj=AsfJC5#a>#_HN8a#fy3Ih%vz=w&IsHazn
za%(Hmq51$W%&fxW>NR*|R2|lTJBk-v8+ktsaYn)!?uWXF`8%(oZp0njpZf@NN4&&N
zqxU!?^*g@Pm7yKGdXkz)Z*o>wCAUu+)Q9_`JYMMWkD+w`o-vI%VMgzlTGN}ac9c4D
z49|T!kybj;rC4W*ZE@v{TX)J1_Mjdy9yE4~JKeqMN-p}&lpH6}?c0vTf;rn%&Wf79
z4kulIeR8oGNa1JI$k$GRRJ{1Pa&;$84!n;EvX?ONloSVvhjBvxGTeH*7<;I0!ZpXT
zaP7r(EE$`E`EOR>va|o;y$8#9*CigMN(tD0VFk+MCga?XYtZBGI?SlZ#u=|SqUq5>
zv{BlLnNLcvWz0c5+qWKr=bS`tNJ3sd#LaPc(EHj`)Tn!h+FCy_KS_?14l2?}Ej98y
z+Mim}^++d)?~?g>xPSFX`g>tC<+KUZR^~?iY<#IBa3Z<B2qB%bVf3*jlC;i8ky_y_
zidUOWma4PpPW()YaF|Z>T&K|d$^cSY;Xym@J5g2-8=5!Lh<@?&sP*mMe1`iS6^`D=
zfO4KQcdW!+*EZqC`Kxj8kWloy?}QzjhhfJ+byOW7!+Dyo#I(=1MH$u0;=uM6@%x4g
z;-O_%#0j0ZMc3KS#Cc0TihFO$;5qJdKHH*+n->qp^i~rLzip2xdA!H@+aGfc!g06S
z0vvQL2}_#RqC+mfhrim27q9QdSz%TD?A(Bb%bSrIUd5EH4^in^C(0}T#&OE>#L`sB
zY4HGB*vi?)n@lP4gdMrs3G}GblP<Ibk$lB;>YhHA@=nCj(Zp5M|KJ+RO6DxVoJ<;2
zl1-yG<<K+p9Ln;@BJXqS$YN_MNfQ2}u8p(k(9J+<IXjNN_c5YjbNbL|-<P<i|1k{6
z%D~x$0<K#7MqI2MB+B%T8kca#M%d=OQ&1gqjdN+g3q70^;n+bnP#LTVTaq>5+P=Q<
z)<G4PUFZ$duJ?q}(0{^hx39wAYj1_pz-L0U%zdFq{+4id^;O~0%FDtBrAxvl^Gkwh
z$7P|_{+h6C$Zerl$pb<CT!*k~!+W7mk6*&nfjwc>CS}<BTN74H9|TWYhQl*&Te$aK
zfV8K+Aa583a@QAtuR=16`k4XeuN6S;-raCCsR~xcHA2YF3-C(y9_-~g!c9stoF~Y=
zDLMU_U-D4qJl>LxzdDxnH}Yb~ET%B+t1&G5RRVXar?I}x*=%Wj0o!G_otgdK%MKse
z&p@V%l`K8P4E7viT}D;R_h30I{Iio~scvG6l+u`dZ4`Sx+KFX&YcgrdRp{a;kNa=W
z3H5IM#pDhhl%%e}FD?6URy5*?wi_50{}jVdy}_hj?{QxA2Q<C?9)Az%LY?-vsIcNS
z8c%(RSC4k!z9v40%6^XLMs;9C%L}Y@e~l@%ow!xuBi?7<(0%G})Gd*vGs(SZQd4iT
zny5<W9W^Os-auM-Zx9)*=AKDU6B=%2Mb9<tsjbtI*6aoPtm8(j9ldGzGk@y*GLaVf
zO{UA2rqJntX{69Njo!SQN;)?}Xi@ki&Ptv@Hzs(|Tz;O~+Ru^u#;wWckP%hR)1kws
zRVle!j&2lmVbR;$SQc>#&-+&6zV2c?wUKkG<|g9z+mYB2?u+ra$Kf4$YYZ<nM%yTT
zwD_cld;aO7D;tECOZ8ECk`cDnn_)|oEpCBvxYf*!KXV7*<j0{HlRpPP8T^McTT;<8
zHWLju<)g&17{7Rx;H(c-IL4TBzQ3Hp&>5HU>VNGxcI-?1bodKiTqH{;o+{G28g(kU
zJ&^zVhLX<!Q@W^UONRr;QALR>z3uj+Emk2k)F6^%_syaFl}l)0d;<CVtfHHtDU{oo
zO3_2skaJ8bEnAUH4cUq0mAZr&AFk4k$&|3$ogVJDr-V5MG-;tKjoADJ)$}f5V|+Ph
zQl(*ZqbF8<>x*&L&7wwnjA-2RGB2oKX*Bp-AQ_k{BWyolC}bLp5@c>T3Bw{B1--sj
z!os_Qgjtgn1)F1!Bm<vTN?sJsmdKWLIa$xSIrhQaYfbWdCQHkP?UlA~xh=hHATOS^
z)fd$b9mNxRLE^f=g<{0YG_huQzIfVgw^;bITFi-(igD$a#nP9LL~HL)V(&k4I3`yG
z<3A0=g%Ts2m~Dgd-vP%KPr&Vkk@&h#9LlSup+@%xWH+~=TVpvki$_rBM>FcKx`{iY
zU*eN9Ke<a-fllgcQniHVI7gY2q>m%@I_g0U!$atyXAC)YCs5eGH2RjALzmxgrgI;6
zP`+C!P1}5c+WxDd5i9HHyj4B*7+gz#I}Vb%O9{yuY^9iz^^_PrpC-K<Pd|5SQO};7
zjT{+|T~(!G(Crn%>g8kM?*2S@xw-+KJKTal)^Fj-zivn>l3|aE<yghA9_-)|Ii|)v
zaDmHYm~QxANFMYX7R>qyoil!biRBM4yYmC8Vt#?!lRvO}mkc}JB*!kh^<t*>ip(!n
znLA?CID1r+tqB^yoG<9I&5QL}yQ2}4(KTh$Wv%!g#+L0X8qG2domlfsKAsrw%9=|(
z*yK2G_HmOhlf3m~g){t_R)-%uAL+{;wR*9e`tEGb^zkepe;muZ$j?DWmTVFku|wzd
zm}j&md)3mLDH+SKw19W8^jAA56t=*nsN-N$SP6Xt`Ck3NM*gu5EOxDe1KLZ#WA`km
z>M<Rbt4@WY^^-x~aWcH^41sZrLgCD&NVskj11n7zLuL4KSj-(5KR2y|i&t{sZB_yJ
zoGpgbRr?_6$N?C=pdRA)H^IEQ=U~y%t5BB9J0RUJ;rFM{utbnyzL(@#_ihz->1aRZ
z+*^<3<{7fF<IUJHbz9c;#*wu*j%UN?da>8H1K5hEAuMOcbhgSonyL1k%aR{1U}I-2
zX7A@NVUmlB*`?5htf<Fa=5}}{>lZVPX*dNivnj6ZSobJ4bB+o7PhN)|w^d?YoP~dA
z|4r~vXn^p@?XcQx4P2W$1q>$HfYh`vxNUqZB%vrwP~0i#$D|AT+vf;2{=veHdwxP&
zXn-Ic5-JR+Tp(D4r3#jYdBUs4UBZ*=HNpk+)54c+w}eM>{O8SN;2iI4r#;gGtG@>D
zq|6FhI>*7WCtlE0GzFfS&ViQ)mqY6Iba?t@1I&206`Tw9fkt;VBoA){(~;*P(C`){
zD|bNeZ(pGCn;d)iTbXmt`}4p55SBFAlo_Vlvl9l4bs6&xcia^A>2)+a7qXO1TEB{o
z(oSb<QZm^fpIlbUHn9$)Eo}SoLN;Go$Si+tW<@NY#l~f`%A7QI$ZZ+Zy&1-?E^uZW
zJB?Xt0QWBj--Zo;cEB2(0Q0gQ2@QI;CEfCN;)SzU#6|P9@Zy;<czwo1RJa+1HkFHT
z`J`pon_ovgEaGv}tXOQ%TZC1f^U$`>Y-}4f6Xp6x;D@_moT(6s0}qAbt`A{Ym=b|o
z=SSg@<8!cP(PHc@NI;E&DY&|1E!up^#@T)NPX2Q-CLAikuO8K?alQe`zM0F?+VFzx
zLo{F7iDSR~!h!Dc^kS$Q9n2g^HmeQD=%+c^d>TbEQ=EA=#h)y+r%}Pk*(7flOQ$<l
zk(6II=4fS7;Mxu3s+~`73ko<3c{BZ+yqPAC+(br0bLpyj2A!5kAzST*G^Rb6bh^gT
z1@ob_D!V7G*XCYlD8j{|K3JIlSo~o9Pnrtq!e5_bLPw?oyu3F8p8Wv$5gq^=lc&M)
z6A@tQG6PghA|b^q9Lyu9!XnvVn7Es}K(_jVu9X)YD|CmTZdZt!?+S4WZro$V(<(2#
zz<#VhJiQ+Ts#m8$kHJy!=fVOgc$@&~^{F5<WI%H2M)23&1|?bhVA6vs_^fjrw)&re
zeQU2l*u}??I^qM|nkd6OM)YQi1sW`)P>-#%9?mSL*swkd6874}i-lJPv*4JSY|)s-
zZ2C){-Q|o)kMK<9wl$acNebA%)rIVGRS|nKaT}|&DPkuzx3J*0JZ2V>!R{|y&Cb}z
zu#`Q%Og+n*$^YofP~!!ZR98T2dL+1(einK@`z+Z##z|ap@S*5zWq=;Cp18#?8n;mb
zK1@wTn_KCauDTBYon4C+Dd~8BKhG0xOu<!uSD~!e3S1hLfD=RFaZ~a#wCh}k!H56D
zsz-^qK6N$PT}?%UeQVL#F$<p-<zd;GEhy3sl-X2@&n4Bk{^Bvr7C66g&m}DRaThcA
zvuMe_uNa;zN3C^Aq&Z)c?926NSA;Rm&9kNyp6T5)$c;P#11Pg1lpg(>O^O5g{QuNS
zO1`^>%zW0<Nu_LRc)EckyYgtK@<!f&%%$z4awzZcdMcWdO55Y&X!^Sdn!nkLTzI$O
zjQK$7Uh@l|MV>>Syv;cGmLEzVd>6}_{luU>{Uy`g76>D1&Is0>GBD(n7Ig15f^*j`
zAvVnxcAl|=Uu$fkV4XD-Ei;Fz>%-x(vLResJQymN4jir0g38;P5PqjGSaQ1eryc6B
zFTO9-Owi<xQ!SV{PzS#D83GeDjNqY#ITX*b1K%@Fa3shBP7Do#^s$kUU$+QO>{ty0
z*RO{Yee*$g`F7aUS`Jfm>%ngs!HG9lpfl?cG{k&>H}10Rue>sw7vG;<*s9Npc<*TV
zhtbSc%Z=4tp2!0JMY7&&7PF1RSF`M!YnkeU9Cj_ffQ^pc#?D0SV(YZ`v5qmNY|K19
z9|+yYdR^GbV%8V3FWEV4&9`Ls+AxZh)sAPacLuZl%3r`}&H+eL_XVG-ox*SbA5xhA
zLmc(l1NR1TzuB>^SYEjwnQtA=J8>K%zn#Pz&zmsCwFza8G~%B_$8lrfF}!``2)d82
z$K2>TygRNA)9%+{VBirnE<c9TAD_Su84){sH)Hy*7W{Xk4fQtP!C{V1@IJl4DJEZW
zx`PZYaF(Z_hCVbsPm?^)=+JFH1Da`IO4Dp?=)?j?N)*SFimEp~cAQARhfbp#MKfq}
zEZ++yE~4D{IJ#+`K#7rw^tnBe{GykW@vUWaQ++YzD8<l~OJRgb+{Yc@OpZHkY0p^$
zvUBQ7L0|uJ&%`~HI-S7LW!o?#VFmWP=8jj|ba<})wK!6xQgryeQ2h5>UyO^mBGvts
zEUh&+lq$Xc(3BPUv1#f)U8%F*RO!M=g;K?*EgVuOD;{*#7ngki(NSim=+J)+U)63F
zh27=i?YtA>uYZ@sa+#;%j|1OCU3GbsgTDBtTMtk8n_$OO2lTUXLCO0-oN{mm?o5wG
z>(*4<lah^nKW{;qk$W-5ry2``8}Ua(3tmpTgQrfs!U)r!cyK=F{mxORG*w;F2s0+R
zKpV>IkWfo+ANsI=3YG7hP46x*qkr8gWbkx7wJgh}bt^Yh;qh(M_+%$}mG7a3hQ0LQ
z>>m1@wUhfLw$kNv-d8=4PM^9Ka|e7N$-0cBBtKQM9C{0{w(y)LXAXp~aS=1WdkPn>
z^nwNNJ)rtU5_r{Y1XHVBQ1iPSChJzgyk&==->pNC@Uj|)+f_jj&luerQURX9<?#G(
zDLip1h3OWhaQ0CtG)9&~RbvJ8`Fs$Zln;Zy{832hXoPJQr@&z11^DmjH8?x@KD@4d
z0p_1S!dI=ous^34t6kZLJ-)5U&Tr9W?X`yN)=+ciaLbP6NS)aIW;gcol0Vzp5W<qe
zBH7XnbJ#wuCG72q|JY^6l}x=NnKeF0VW^$Twn<W0>8w=@F8{}#mM>%$vNKsk&q=K3
z4;S`^*|MMzeYT~!4{J5~1V73y!j7M1ApbQDdd%{Hy|!9#bjB5-XJd*mes?b+dvPDh
z)JeM1pKFdvYq$KA+Wu4%hwF34jH`xdv`b#RGWd;D-d8H^oR}>=y~tc@=QzKqy*$ck
z=O#<Z3FUl=Q)a6qKCp+NI#OTQ{CS+v=lB%Cu`*t``71-v=-eutao#T|88!&751bc9
z$+Zi)-kn0!p?|_gGbJz|)gPAk9STj?EZ|_lSjbuG1tA$z;pX>wQ2%fh_|;^9*3|;|
z`g}L2$y9^OsFU0&a1pBg??c73F1~-3VW;LPvvu{n`+JdhV(Y9}ON<i>f9B1`YfNKq
z?R@vAxq{6(mCl}h%wc0+Zf5q;J6Pz@5;nZKg5|uaVg)8OEV^F}vvRFswK3&vxA#t_
z^lBsXU7X5l_eU_Rl{{Om%J+)#XF)M>HbC8Wp>^ymvDV!JRi3Bg-aD0;w(u-I`*0U`
zTz!EutGjTP$0z*c{~6`ie!@NnKH#39E;Rk}7Ly;mMg?Eq6Py1MW2U_1S({fV+<uK2
z@txQ%`vFh!-hWi<5A6Q)4>OZ{(5z?$npCb#E`mCZFzQd&{B?-xhtLamBbxWiloGfR
z=ue6RWm=9S>uN?RFWsm@>P<)cPoO@RCQ|?AU@~tHp-b<l(9f5g(_Ill6AgmtqiZ0I
z*YG8?TsJDeBH@k*d)hnLobId}N;$K%$f{e3)W82lw`s4iE$13e|JZ~*Z&#v4QW2Ue
zWum_2at!gGfit4`?1^_y!m90fhQu6~stw1X+?%LuG7Oi<8RO@pCb(0@3K!kv{^SlP
zoUZ4NYa;^i`OZ+Rz7T`E?k_{5*D2T#oPo7tHsYu)MOeIKFX~=9fSaX9&`E+A7;+IW
zXx_%J@y}3W-3Pqo&iOZC@|5$Qd%kXSZmY&%p2IYz>!DV3CulUin9pB_94}f|G?8-^
zLh0$FDB3B`r@c30>G|{Jbo0O}8uK}s^7p6kIc5r7r`4nylSqHpFQu<WF%&#)8U@er
zA(y<dq&LxoW|?Vm?x7q_%zKFE?2lux?iTF#b{;CNv%w3+GPu6-pcpaCPh7~~BX^1h
zH$~qHkUZ}zl@v66lxRHYDa^0vCA=B+OA;FQK$5oTh{WPsx@1+Jfn>3Zr_&#=w5F2B
zqor?Lwn_&X-;jpCR}dG}8i{o=&f<3SNU`2<wP-KhAeuPr6c-Mt7OhjIV)NE3V#4Yt
z;=0f;qN;gMbhxaF?|JTK=M-b?UTTZ_8yTLvG66k(BC*9N7WYWj;Dr-8DAg`PTv&?t
zF4f`*Z^Gz5yhHf?32yWMf*r~|sk%m$?(6ALR**4Sh1im_A)|ej{<N_@oMsd(q*ngA
z{aLb(AU>CztO{v(*iM>MS3(!>RFLo7D$4v@P0i-jWV@x3PJP@*hT7Z6vwsdT|3ot1
zHi>kWSdiBG9#j=mhqVvgF#Gcaaod_A!KQi)4EVMl9*#T!n(LcE-}M&Ey7~kTXT5^z
z!*9Vks1wqHIJa@uYgp6oCCqDi4nM9vh4eX3Aff&-cwBxA`_Dar9+l4^eEADFYySp<
z?{`7h>@QGt^(Pc5%Cc#yz1XTa&K0oZzD0LU)}v$~lVyWho5nC^+Q*dD46<hX?H$-D
zVI2E7Y&@HM(Vb1u@?~W&0@yd5U>1@$g*o%g>ZzJA);S=YZ5tcL{CZAf1~Ygb+AomJ
zzwFHhe{yE8ZaFfQGHbSFlMyqyug#23sW6r)%M?Gnf#!niAYIY~=b!F}j}}|tWNJD*
z|GEHHkC_Au8UeC>tYLelA;_%Lf%@!zz@qy?$w_rEaM1w!`u=eEk`DMx9SRlZCZNf4
zLq7(L1CM`hP=78Ee#cA)v&Zw{rR55UvPg$eha9kO*bG-V`~A=O{h%3I3k@nwur1;|
z3=X>iy_BCo&m~>pS@0XaH}+yi8&sIK*q`<E9?Yhh4QCL{9d1oySiZkAi~H=uCT0aQ
z>rc~J^{*IqA$AGt9?Y|%Cswnp)x6U;A&r%qq_eh{X)J8s8s@t_nd!7Au*4G!SpE0u
zthUXc?JIF&3hzx=DsVo7y$m~d^%e|kuLhf>3`qOz2hR^`z{#*Cp~>Ax*#0{~QZw02
zy2Dal{QYLU80a%k44s}Lo*T1P3@J?)E1xBcJ5-j6zdFK1yJj~rw9P_H`=BY-lzf)X
zd?iYYr{+i}-54!(^ghxgvwqj{GnogSOlO!#3}Tl{T37Fr3=C+Il%;e@9FO!CKHBOD
zGdnGXZq@NZ&r6epJ0Ww0FCD9e@}Ml?&iq22&n*$G>^M6}p9DGKs!&(^RCv1Qt3W!v
z;I5B4sI1llgNr8c%V#v4HSpkG?<o-IKOgq~mkbY1WWi8{t*|M!6t)knhZAbeV9&dh
z2f|*#{MX$7S=gIR+1H;P*lobBZnkF5X#!K8?a%(Rj$j_=mazS@sq9=(7JE}yz=prt
z!OAPknAW~(W<2`{d%WTVE1uHC*2Fe3XXg{_MMxcMU9g|Agd(=9aV<009m!rej%3I5
z{y@FiR@lG(iEwAxQgMH1AO>}mVN~>Ol<xV38;g`E|DOhZ?H)kSX6w)_{#=%psYClG
zYtzMR1E^fkqDPndQT7f^>V2BCu{||t{V1NN&DNlau9`G4tRHu<_a~j~0dzc%^VZsQ
z$qEKj*L8gw%jd#!_Qq8Das(-4aQ=^yCG85cCdF7A`ZU&#&Q{n{ZnXmiJ8`zX*C;;w
zb)ck1&e74Zqh41>QqXrx>XBu}=f1;9bEqK&34=*hPMcI$Y0||O6{`5HK-QLWl=G$=
ze_wuw@2sC;tIb`^`gjFB)6SviZxKzSk7LN0I@~?@5Oyp)fbBK=@$~&NG=5!*3on*p
zLP8n#=_toB@|C#l>OoxZRD+{gJvQHHz!ChOXP0*x7aeTDFVKc=p0{x@Jw%(57x?2H
zzsDDS$3V`7j{4h^=vr@zKF@Q!cQwi4??6iDo`SIvhO~X%2pUyrL2aw~{?K|94cju7
zE^r5OouxB{+q+R`kq6yy^`aU>Z?e<(CL1#^svhk@ub3-&xiK2zGmbmn9O!+K6+O}z
zK{8!KC?RkFU7xE;V`lau)hpfDJ^m%yF1&@+`Dbz2i(_~uzY;&!?L^h71vnrx3wH`>
zX#5}vCo09E$Grvka>!g{Wifbf+#HOrpNC;j7NM|x86G>8gjk%4qnE5hqdPq3*piPU
zg(7Tn*o_0L%kfUhA>5<efbE)uGjcEB*t{D!YTzR*9`S}JOTMD;QHDQzE6|EtDwNIl
zp|1ONso<^wby%2Eb0L2wmmfo7G*IXccj~>-k0$C*qLaqcXh>27MSYE;jnUj$wQDZl
zvCX64=DD<ycl$27@~;Pnlil`U+HC4eUyR37$~k*l7chbxwR9+Ap)#$X`vdQ<y^sH0
zN33oy!}i{}I4mp{C%*GVr49@9wb8^6cE3ce%)8=%Y!sLK9THO?m54opc8k}p>=q|w
zm5N2Ts>B?f<6`@rv*MY`TjFZrm8d)Qmw5E00)FBo?K5^fLnW9ZK6k)gmM(bGI1nE^
zh`@hQi}B}d?oZRnz)L~-_{(rR&Mzp#{&k1(Uv?8JSzW-rrMEHScL#2A`ii$3<jBKc
znF40^qvxLok<y>xr2n4{eVOD$r`CDUK)xs0mpGmNew<4ijN_?oeljhMNGIRZ88j(6
zhgNFj(Sd@Elzns~1-R#t`H&p)7`C3O{Zr`Rj3qR(Ba~(ybfwC<=Cti|Uup{O!tpPU
zWB$nXI9kabpZT8?`<;9vt)0>-3C-OmOmOKC+-g;!;-motYg&Wn-%+4+a4aaAj01~M
zM^IH51ySd1;N%cXs9j<LW_^rcis?|8)IA71w&;SPt`5B1q78ZdbfC0Y7t%)#hQ;ke
zA#9s5l=B(IrX{w}#GmV9Ub;Y2tUvs8od)^yW5BsP9#mJYfs=08@bk%L*c-YVQkxHe
z-G~NwvE>Y?>)!z7>(5|=^b7p?uLm19hVx6x2C)271}rAil6iMKve_~otRi<3`<yY8
z4LrYu-B(Ix83Wd_b&qn`E6W0=cfN=%kJ`!Z9@)e8&)LUHE%veaqr2I?bH(h2QvuuF
zKa&-{PGp;=gt68o<JhM8+U$79TSy#P3JYGj!pPg(gzf8|NNaDs5ij(X;O+<U7;qvF
z&ph9Sul`k_>%bb^F{}>d{?ws#avk=+a2Q=K9>U~?Ds;Mg03Bym;?PwUxWlaiJKHMo
zyXgV^$9J(^i)wIMR6R~`I*#{#NjX>j3>uhS!t=#9@%_h#h~}^HwAU9rJ4}X3^5tp3
zd==_E*pJ5g>(LjlVKjBKImPPR)BJWP`hL)js*?O^<%kd(oe@C+OJex<E}~$$c#^kW
zLH>VM(VX05dUhb0x)-jdIL?lppBG1;W9QME57RlvAdqIR9#1_+kEFTW&ocG0GMO*<
zh;F*A=v%NKAM99%+lnS)j~+vCbLlhjci*kztp)aCgIlFk{jpcmv&p&=x6^qN_1Ytn
zUH3?`MCXLWp?a^RWZ^2w-2aRun7z{J%_gBKKh#J%aYnAx+WC@H_C+so)D$CeV3&(H
z;6RkfCZ>ufQu6<&=)A*ve7`u3rY1^Dl!Q_=rTKZzod!i24Gk)(5K$tlXwlHtP$D5S
znuO|e4zfxqdt_uQAqj==@A>`V>hg!KtJL${_c`zP>m@w%vs5T^r&?&K+ayfWekkmD
z`%##i^H(@bZzO)vQ$&T=8mP8X9|!MRpd_1vqnbT2EMp~3D&LCXTDx&~eHK17E5=zz
zPN0;^d7M?&ge}YO<Nknmc&hdn&N3IL6?gbvrw-4ww9}z06K4`#w58c27SgsZKPs_Y
zM?ueGXusWVqMzwB+AWXV)QV}{f2CwrevEEhJxOo7PEldmNpinfMt`0kq*p(4>Dt(2
z`tT=$PW!r&_YocXv3?k(f2+XmwR6!oFiJS);sy@RYlHsKX6SV)29vY3kp27`yr0?u
z=^c;Yh~zW)-24pk`<}vIohLAP;2|uh`!M3sT|O$>0WKHXLHb5JC{=dAsU7#A#o{3x
zef0$PZF&KJf4qTxKHboFs1HIf4?@Y4;p}XkI8zvqW{G=7vvi)7WqWiy`>vqPI;*F#
z){RE2&C#57C~|D=ReN^YavuB7a}o3T?a6X}`Lf^o0nBU73bt@hFq2sk!hBnUnfmD!
z?7};LRvF>LZY^|UHG7@eLm$Q@9?oQvcDk&ydmNM3kYf%;!`O_EZ(#cBTfF17685?k
zLjUGOXjce^IvWRY4by|;+s8ubL{TUl(aZe_e#*_xYvU%>-Q?c=yTOH*w{ZPx_qfY7
z&pG<n&E3l$;@UFAVU5WsXed^LkHX2&k!1w4_)Ov(aE9Mgy<kpz2wZlGf^8k~uwcs`
zm~e#ehAuq_&ni#Ar&BdRo(R3z0$chXL&Cs&cyNCJ4m*pm-3O)F&tOHSQZk;IIZR~=
z3yqjcjTKwF)PW6|E@Z*ue3{tCVD@uOINPvh8?#v$#}xf{vF>xptZK?0_C6+!X=SFd
zWd?iLYYRSUwl9IDXKiO`r`NE!+g?m_wH;fpF`fNArpP`P{RE|R*Wlx*0`PD0f_YP9
zp!0SnrzyK$K!wAEv$#~D^1iFWu()1f{ZTPoSt7^t)D+MsOA+IJ6_5f(;Uy~>bX_Td
zpPfgb>*_&aBz_fU_P-Zq%y}ss-~Cu9`sbeTaYnmPp}I}DcTJnHUU)~SeCDpO-u#i!
zKj690MDLw2v*?R(_r*csv6~_|PfZ%bmnfiThB|t;OhGvfV|3Xkz=f{!c;|=@mNkcB
z`L$@=P@RNf!8v$N_8_+Mo}@_$7x3=Z8|Yp02vzJqVGaD{@9>f&^+JLF9nqk=x%$*s
zWkLC`9O>yb51Q{3OwNv*NX0&$N`q7Bfp-r1ekdfVn}?|B#4$Rncbc@`pP|3&&(e|Q
z<y5}nIOSNC(D3_vY02VUB(2M5?w8M|vUjS~BJl!!wfA7vhu=apSS?sCDglnAtHJEv
zekg9f2p5CyfR*?Qs8sm?3Ez5PNqsN;jO+!U_dW2k`V+Xhe}K5D@4$QQ8*uY@4c#MN
zgH6(F=<0g|8gt)6+MZ9~dZ`!s?tBN4>%V!<@-VhQRg|^Pm1OVl%doI>quI3AO00B|
zI(z?nB3s-tl{sCS&IW5u*rXE{>~jpqZcngh$!ndM?|fIb@W5hrOW?^C$#}C<Z+zI~
zW4>&bnJ<Ga-Yj^TC*RRu#B<E%u`yNl%x{Jbo1JFD?)=qZhIQka!q8||Bq`2*+xLUd
zm`><=e~s@|RDr1aK{)s~4VFELhRm;lkY?rrf0L|X?%5eU$4VQfEgBDfdaAInSQ!R9
zRY0gP4yI&kfN1VyXz$a9*tnUXJ(+`reBWf}Ja=$A7XYt^!a#I<G~AWj1^FY=;agZ9
zO!GbnVa>;3_pK_(^=p9Z**9S1ntO1p?<IWH?}Y-5KX5TvjM?$I-#Wdq%xdp=p6fD&
zsVp#H3OuV!{wrf;E1X$;iyLbcS;khp2xf-U*Rk^IO{~>8niU$yGOgk9Eb}FQUpy1f
zMCQe@^L9JfX~!t`;=mfVF368}?zu9*xdL{>RFCbRsLYy=j9{NmJcIt|T9|e*6Har>
zz$R1+KB#tb4+|2x{)0aSbr}<FHu>&r^r?~-u68yPI$m=X8VY=baS1*`X~o4t30XU#
z@hn4Og@me5u;{-=!;!Zd%W`uXmw&ft>^WG}@bX2MwY;*Zz{7f#pt=93V4?W~!HbR&
z+&McnuBzCGbCR3O1>W-Kj!JIf#D*tx4}axy!6}Ei_4g~e?}NxK9pBD1`FC;Cy8F3h
z5u%`EEf3p1s=<rwso=V3CN#{pgK3FwaLp_j#%$XHTda1&)8pBYq;?RZ%1%R3;3YV=
zsu^nUJcFwhUm$MO2)2g*9@~vjWlhbK*@SH-EK$yut%_dAW}XXRWknI}?yxxa{9Xzx
zJ($Dp>F#IQ(~qzq_fu?@btSV|U(2>^JkOlk&anciYPO~26g%5h!rB&Rv&7Jy?0K{&
z+vGfrH5Cnjf7m_<4;}#p&7T_kDyL$AP8#2TyofK_cqfSa54`ni1U0^upmDKMv|xoa
z6;G6==;=~)>Xjtf#7fX7YjNr~6QgZBf6~NKl;XWbNw-^+*7b<d7+(o`H*+L8MM_fy
zpGnLaF`E7{Mbd6kri|Ee^e|L|Qlci&xcsTq%J;91-#4K3cX{7g=`4D0U_}|h0?IOC
zl)Y^>?J%$>9Sa8<w#$J&h&k}CI6Jzr&Xxk^b9C9kih2Xh$hg{&q~=be<J=^^13He@
zwJFe@3jVIZ&s0Nh3}Ds2cWC$KA=Xvg#Qdy!tUOVHDx=G=>i&M5^=B`}$EKsaZ!&I<
zPQ-z`ad^f#mj6EN#Jl{*L#N`f;aLKDweH5l;i>rQLI$qi&$C!Z72;p{5}cD;hU&%T
zXg9eQv-BG<r>Y4Too~fImX9#crVC3Odr(;a6H5w*)5|QrhljFsMN5%ZR;p3-3f|*m
zq(f_@4QO!}&)hm}O|7$Lll!i@bTphlUp#gri$X7YmcEouXZq8OEz9ZTq(GXuZaGDP
zKVgC|MVfe$=Yj?FsK=2`=m^Ni$b>$_RB|m+Bhge@(&IgBH5cFEqQkebj_3Jw4J*M&
z{<&(PxDg|AJTT>!HC7c&<t=hbsM$9Xm$nT<#hxER9f_~P5hh=Rm#|N0qA(~-Sug^x
z3`%0(!%-MSs_40I5>9cNfm`@IzzPuuEE>KT&tCS&W%JkJw^K2AZ{u#9AeV{dQ}>~I
zODU#_@x1Tn=g~Ug3K|u(@ocPTIDZcB@oxWxPn1OIiGd8wt5&4c1LH}jX9_vy7*gjh
zOL|>nN0DN#^v;X#_oW8X`!#EcYuZGiZae7c%6O{UxQo)ul4y5ZGI?D~CXJvZqO?Rh
zFg=#E<2F(8=@6cW?LkgpOT$X^DfRVO8jAUgMeS`kiFadOD&2%?pY*X#<B>2oVv$gC
zQ%8e!>34xj+Zs+p?-1u}A>^7%IyfJ%PR`Hh6?gLT3obD1374|8gWH;LgHt=+z}*h4
z;&vJw<2D8D=dv8LIcd>kF6F{b&iY3LxAIUhCm!v~X(qUF`%b%XEgzh?1G;lL4ga}Z
zYm76Owbhl2aCYaWfA-}L_yu!gj)ilnEiv3s?=Eh7R0bz0y^q^`;V|d0_bg{oQO{XT
zZsy|Uo^nkoJ>1Ir|G2IdQgEhsEGXq@!9b`XROE6n-(Ue8_FfJV)|<fkUm`SiWx=7Y
z17NCD4)Xc+(7xj~U^maI82Ao9o{6%%$9NBF@OU<2BLD1tYQZ+{oy+`fy_s8kD9h1^
zVV&EPn6Y#=Ye*_$*Q$@OKJ#)mrK*MvlwD+7Ga6aq6CsoQ)xacH*0G(p&oEBp5bK+f
z!JZdxU{8W(GxwkJY(njMSg~#j><rCnba-NdAJ!G)YrVUe_izaFw#rblxe|HuXZ1mA
z4SFzFlMepTAYM97i`~Xk`l)f`p`u1kjVd%$txQhhe9!r!5?$<2qBTy+<gTtlw?LI@
z&ZyBBA9dPoGl5<@YSO(hExL77o0?usq0RET<jZ@&T2y&A*y9-_wZxFtBpcC?zcG2;
zHKuhBjOl8CG5>FjDDbxdUHgyshsEnrG(Xe%t}vN)81q@`FY09Kqe3-_{Cq4<j&22x
zq^AN=IyC<uUhwV5{M(;!mhcsN&3lZKQrmH8&n+xmb`|GI3ei3NB8GiChaLtsxMFq{
zDo?G%(vAxBx8a?W%c^jSehn%fIEPzKT|m2e4LGow@Z_{>DCN_PHlpp=toabPpXx;Y
zgKu#EKsQ>S{*K=-3}Lv;2+Hsmr%U&wC?`;!n#C1K`n(FYg^nkeaaw%7cM5H^)}y2x
z12U~Jp_{R@C}zNtYKCmcHwI{Zs4eZOm`%mjc65B09qs#SOUj}=Q)iZdHl|uqt^_})
zt23mB71O9yQk&d6)oF(7SUMXkO9A`DNO|KB9+mIGudEZRX1C$`*_ZKj&^bJR^%Rcc
zcRMp93bBRfLk+A>N1<y9?hM|Idc}zt@iGDH)f4fvU>E)~O~RGEDY)7<9StI~@sV~u
zMuhIir-D-cK6)I_M4d(V2j{T0x)GJ+uVcykHk7h?jJM=o;}f6H=&AJ!GtLgDid_<<
zkRwZ<`RD&rGc|q>q)B)Dc*Ybzi`-aYN?iggvM*tD^O7TlY@AOjXBLr_ohMl;`cTyG
zrIgy{M|U^)6T9w5!4*p>eY`i_5_hNSbuM&zr30;zx1kg1#&lhMDrNmvBi&FrT7Gdj
zJze?<y_Gv~g7PI?)p!(@J+txp7(VN+yaGR^J7I6cOf=2V#>GX-IL%fL9d#se+BZ@3
znJtP-o5k>`%}6}wDTjw%D&n8x>X?)=8H+;r?%p&@w7P1KNAwqAy}utWU%nQzXKlxq
z{fT(gHXS$0<YSR{363#4iT1~9_zsy6^`n|`!@Gz0Wz<`&{@aJrkB3oOfh2kIyt&o(
zd^cWSi=UzCQD?s?ow_6-rIUQ-|L7tLNcE-JCc%^xx{gu?qbThF&y1FcC#{%7QkLFL
ze-n2T?{A}+a|yJ|ES5TUY^KPHP-@oqrCJ9k`WkLV=7NdzZ@x4I<$l6>6+(<1%`>AH
z1Y(H2CSEAx4bGDm3JoWkH#YVj6D(<&#XXPN$t^mukDKgxg8QOT$^F+}#Vx#bmix?3
za1vYz7gvzWH4G+muO4sX^vVM{`H}Ou5TBV`Y_A5l_^UKG|689RM!j9&;87(o+nFa2
zd%jgL&^ccqpD|fbwr#jzyw7EuuK`Im$GvoH3`%mW3)VYa(%*5u-aKb=!(Oe>hRo)?
zhKnQ4H~cyOpyBa~fd*HBbmO;k;~GbF=r=CBDrnqud12$P;lYji7q&I7$V_fjwajbO
z`F*%i=Sx+i8C+=$P`KZyn)9LY=;yzU?I)##j<L$Z@`B02-D747FDf_)zg%4+{Jm(c
z@aWH2q4~;mp^NH%;RO9tLYJmX!g;c-!g9kdVV?glVeTqP{O{FRoOe+hBb8?2`|*x=
zbI2QKyjYKA(Fu6_N)~?eD?!DG3N%)~jDxZF(d))1^q1mYnAc<}ho8OL(=@s_&WeH>
z=TU!|AAP;Pf!`G;kn7$I66-IduPe*w#?eZOwyP)qD@|mWaGRoAJ7~hgdlbWed_T}k
z-j{{c-(OB4O?jmIW+Q3v&x$GW-DrGbAsQZ%<C^A2gZ9_QkUwQK+iaxIu4-}2BgmO8
z+`5QoSG%*GNDuZb!ktBgEoP5iEnt!3UD&8a&MaZy9G+ET&sIdwW=f+O6Db$4)3dFa
z^K}dMWg72N3p8c3LwF~$;SBcjBF}dgpUNy0C$Z_DCa}#JYV5A85^GvNni)39uyz$m
zMq5PK=kC97V&)In^O3*rjeiTD-gd&#g%6>0Z99yb-2xvUUWb_mSHXWS!9i^y&mnJs
z4RQ_eX><d8#s-+9D1;(Wg0z$?@cF<sXtulsah|Pkp|=Bk1|LE~WG94pz6PV>kMNrN
z3X?5<f_mIPC>klk2EU23r9Y&Ylbk$@HB(@3f|Z$n{y6ruQG-pnJBj_eF_rb@=&`d?
z4A{#EV-~$?CL1v{i!~`*GT#a-rh1N_KaR6u+<j{%_r!`xXj`%e6|>mvI8&B%fcGJd
z(r3%xPhs!PCNejracqcZoX`F$%V&@!*lBM*%e(YDv~79^#|)o9Lv<@SOuP!GvM<76
z)hgiWTTq*N1g2~`2u*QC(0-r*{_yE{ucx`7`yv;T8}i^!NCDivQwZC-i{bd`Ll7oa
z2KIkW!qC<V*thc>aFPx1L-s0cPH%=kyY517|5G^0vj>c)^g?IXPuM9koH;s(v*)$a
z%z6H3<|wYrq#moYG4)#P^I;t(6+eTe%{67_Z!OqT#<6b>cC7B%9Cq;iJZ9s(fTes|
z#M+L#v74*i*`TsJ8^3=sJN;n+TRbq2SzdEwzn3$n_{xHPTxP`jM0iHsf8&|PE(Ny!
z4$q68@dr}1-ouYq9pG_Q2%AQqfztnqA-FmN0w5lwJi_7eeLoO;x)8#R9ASD92jcfF
z!Mo5Lw2qsDmCzFYJ1PLCYX=?b&T!agF%)0-1*f?o;L{cX$}T$~z;74q%t!+@^IX{I
zQw$n^k3z}BvtZg<2U{esfYyWCP-^`cZo*sed-n~>4gP~I>Ei6|eOV?59n1F39nVr%
z@fmEK&NP@A`|wD>c7{7LyDzS6q|p-gK;EA{To%F(cdupNV>Ymtol)$1^H$a=vz<k)
z+QvRrZf18c^UT!bHEgv+Ad~U%WNVJiWq<4~*{LjD_F_<(<qe6kp$Q-0qGuCaS$_m3
zE9`=SjqdPx^<=n}`itB7y_&0gznP1ip~cx$To(M1cNP3qJ!jKj_|sbDc9M0i`6Qd@
z?s}U^IeLOkeu;vOw=N0#=l>L(cN)h<Ew<+5LYHyMXLfRXc4c$h8;)?lz0Y%>!ftVA
z<ezgAUVYqwS`o0Ul>-e<4GyfF0-NTT!1VzD=`>eRoZ<&#p05L^k2}FOD+T0!?uFHQ
zB~ZYf24;T&Y+bIy@-+|ObHzKDuKx?XH;FN`9rEm)sT#8=n9Smi8L@010h@iynH|~a
z#Z-=mFdM~9><PrNUyGBOwo)c@Uy#SDsfhV%mN1`jhne28BTO#uFq^fdgzauCWK!F+
z*~`S;EYBvAy>W79rL#>~$|iXhcH{wA?#zT`!zRGB^P1f9^HIV!Lj?@K;E6#CcH!l_
z`_PSdQdv4y;A5X!j5&NB{lA>Y!O!RTS$!?<C*hs0qbqU8g0omM@(iDOD@XhF<veeX
z&%pgUi)o2fIO#_%$~#@eLy1DPJKltCl`U9v=pM>Pb>d#b_ZZOf4eK2L;=DHg>=-0X
zEz8G{DXEg<mWd=Dt4o`kjYxftCAoIl()pdvR3pl}9OnAc$SEu6*ve3<dm2s)?4oGQ
z3V!B46ix4&W2kF?G@TG^rQ(c8D%rV)MyW2Rf-UZ3+R5LY3(P2+Kf{XM<QZlb!|3OY
zr#LOX4yT3XW2k2Y=6PA8%W_#9rr#{wm7grE+cHgfw7<GhZSAjy`s&d(Nv2`~!)u0u
zGhK#)BPMc!S8Gdb{EZDSbq(HXFl}Aj*faBJ<FmEA%je!`p~o>}VfrvPVNT0N;b!qY
z!obzV!kb!Wh4URqxbo{=VF|n!e)bv?PBoH5Tc&{D`X=!EJ3W*yFh|n{2VD2w9mPz7
zv8o{oJr^gU*X|7bky?n|5oNf?r5ZDg2-{}d!S736;#c~H1~wzeWsVHplTfAyF<PX^
zv%VjsSy7zQT>4?^Nolu(=xbdhb-awFTMLru<&I1;o|R9^Gm9yHdMO=lK1%Yn$7mq^
z7zK$PrS10)((8_Vn*3)E$@ImLm7^c6l(MFleM<c9_a#=R=i!8ai74on5n5i@%NY+%
zhDC?g!F{v6Agg%-D$kw=b7g{++ph6l`WujJaua4xxdFM0uR*f$RX94~GCcN0_)ml9
zy6kC$NA-<xo`i6)j9_lWRnXPB0RcB#Ai})^s&74l15;kYm!J<&mhcVUMi0TG$s%mt
zcS&|gOP=+Vk7ZS9>MW^l5<9M?$Ko1{8H=)HODt`f(&xEsPWVDL?8p+9yws1Ch6gdJ
ziq$OcZ5VUv3}@2<H!x|34Q!-OID55oEek&!!u~e;vDPkkcG1|08Nat?#m+O>`->CU
zu0lE1a{Lca$uk)9jDLszD}jlryP&gfDev_*g;m2wgN@&NE>fqC6OYf~Hgv4#hWNW}
z$Zb>ZZ_YHX@y;}ES*;1@Up||=>F34OlyBfxKTP6+Joa(l<W6x<+ZwoGTiUs|zut1G
zPD9+43z9IMDME^aCMZ7AhX!#=XnpGl1t}h2E)xs^@tZ(ZECIxqr9rKCK0F#(3Q=3j
z;l`y4@aNez80fhNeZOCW^yq$QJ1~OHzADW!wvA;HO&aWN@iZ3j-%OsF!&u@J7d8pK
z*|Oas%-kiCX|LVMD#Ld%kCA&A8=l3QG;&$_<N|i^&OTQ2d>>n&P{1beyTm%{bY?BR
zi|yDE#V%?4v9$BEnZd*<Y(}^Qo1NMYl>vEhI$i+gtIu)%Yw~Osx+e*5ef}q0J~SPp
zhcCpNYO8T?-&V}XjYGFdiMafBBA%U`h<Qij@yyv+e5JhugOs+RMs^e$zlg;3#v3rS
zDgs|`-GKQAH)0;2$5S_sL2<7*O!wY}&ooof>ue@=j?BjgrU!7@%rX>=K8r6~>(FrH
z6<jUdhW87eVvzPnw5$1v#bqKi_)D5(+7+o#e*&Eo*P%fVV=5hGLwhF9A?5JJ^yB$5
z>SwFzW$;FR7Qd5b|4yKQrOA{knns$JGRV(4i*$Bo(IK5oDpOCRa+XAgGGb{^H-ZlL
zEv4s!4&?J~I_)Y`p!#3m(Ck<Pj_FIq4o_<wXK-JLy7IzjmJNd5?-^Y1ou^z<oD^J@
z)BxRE`cN!86K)K*0O=YFsFyJZg*H>zSY!y2-}T^u)l?8~(t?M#CV<V>aUj#L0_R+n
zVQ;Y#JpQ1>pVL&}UXB{b{2dSZo3$WIN(cJR&w!y_W{|vt1Futa`8kL?D76N_?APmH
z@yZ>bW|0K4d$OSRLJ>5z@lK3qRiOA)2u!sV6jpY^%kIz6U-cinUNMsO?^j^U5+<-N
zwP|djuNj-m&1MbN3z*rVW$fjfH7vk&8(Ywx!0uj8W#Qi0tjMK+P4h2iDYl2$tiyZ;
zo}br7XP2_qdk!$U-h38zG@a?*jAMyrt5~DLT!xFLu+jx1nDbygjJ&@d^d#PLFK4OQ
z#P?nl3O4Ga?U+z};+}@)dk>(3=SkeeXAi1R*W!1b^SHF<9RL4Zi_sO;{JpsndrQya
zpu`z`(0>{elTTy)v(q^BUpZRw@2O+$RTz<e4%-bc;jIgZrMlN~;?7pAtABv;&tIUy
zn~!+4xgT}s4x^@h;*{qmOJ*AtY3~m{Gjw|ru|7TOayO;R@2u%#x;=%PxX|z#5Ayr8
zjLc33lMbyV`=1*~a?}>;Z{AK{KgCdx!46Vb9!=XkwovMq2vXNxP3K1V(U<Cl)VbA`
zbgGT$NQ(wl+R4&H>mSG}?%=fB<ru_&z2cYr5Hj^}%DBJ6ecLL9DJdaBP!kuL_pWbD
zQhrx&I_!nb=8>Er$J1A!@_B*ax6WiiX9U_*Oc-H3I;g(k?n9TxVapFUetz_-QG57k
z;fhm6Le{iM=*c35W(ujoSN8jb;?3p4?H7f@Qo{~m$^5s%7pA|3i^V1I%fHe1Yu|Vb
z=+(uginDO-WP4m|?S^F=S72xFMm!UkfP)$7xIJwj%JP}ZiFQ@EPYZFkI{$lT_X2O0
zf5jO!{Ct9>X-1+F$&S#X5c3)IVUiWCyf}xfKY5T%K@g=DM^ai>EbU#9OskJ)l15ZM
zT}v;f*3wc+TUtgd1CP^B&*S9&_9$&?D&f5h1=Q7_MiYW|l5wv;Wv{X!p98#~&%6uu
zd-E_VToWJlj}UHNxt~+&od)`08{trBK0Hl24Qppz0<$w$;l0u=m>b;!^RBmmM|CsA
zJ>gHaHP_+DfhHJyb_E`kUWPWs%MdZ|GW2<00SD(MXrFWgj=yh)g#0@YVf+B*oO=de
zG~PgLXb;%${Q;?a|ASg%F=q0g6x+tT@&?P5*|yjT>_*{a#y;z_b*oHS&L1mgo;jO!
zjC5w<PK((78D7jc-H&D31hE2{)jZ2&EnCLcvsbp^Y)8p@cHSh6xxQS*_T>k%Kp)<%
z3=5e`m_56wY0e%V(Pgb}YAiEHiUp_rfa4_(pnc2*aM@Z6FPsw~`>YRS?lpygr3&!8
z{R=nd{uOSZ=MdL6E}1hsvYvx~zT6p0ckbUtPp;`-0N3rkf!nN|$Qi%L=4>NMxi`tx
z+}8I^oTT4l?#jK--0I@taO}Dan66cUO?ld|$<+uvjtSuD*?Axz?E~MnLxFESK~~i+
zNLS&{ni_>*cK-<Mol^m0lIp>*^d?9geF)vf@1VC}04ClMVHY}Om`RipQ{Au0TIT4n
zvW;f!+gMxP8|1=PEcIp~*MeEuqzz2dY6p9@Jdt^yPhl5VWw12c9F`@P$5bQpS^9!}
zrWlyZw0C5&n&ebAeMdZ7^)-SmU*f~$UjZAtQk#W-7H4+`JHXqh5N<^|LH4ctoaX9F
zg8k9f!e9JO*$R|+CxSVy=AD8CTb85Ft2MaaIs(JnH(=xW2)@g=4l93#V#>)7oEaL3
zgL!^f73qt%7T&mB+6&i8c%d5e#%tGn@n)$%N_Pg~%<XINz^+IfArgbTw<qAMx)gkL
zDGRex_o0FTKO^M%7wMzVq0@50Zzpb}THg~KY4;Izj{m}%Y*DiCm!-uGO0@B~CaI3s
z<Fj#m27WuEhYs^e-_wg`rUX%BRXDxNi>B|J6KHlF&*bt-r}0y=sqgh(y6c`t*SI{I
zAG(*Wp3Wqvk0}(Z9#1PSM$kc_4>fi3>^Fre<T7I<x$S&}J-bWrhT9UvKYhZUrK-Y}
zgTuIEYihXl(<R}Rl^)M<wF5SrXXfx7s>fqOpi62Ms9CNAN(q8F4FRxg%~GH-UeF=u
z4$>zULb0+dtc{xw0pjyPy>31@mbpUM(?t;L=LymlOJQo*3a}Mh3n#^*;6JNau&Uk-
zX}#(2sXq^9wjKnt_!AI4z6LCh2|+}!1rn<tgO>9LST*z$EP_Ru=yF-+-lxRhizYJP
zn|f?OWEOi<XUiVmb79Y{eb|$h5GKice(GFyGSBI|Sbk9|Qwhmr!#(%1py~On=0pK=
z*;Bw47v-_=<JoLs{vO_^oWLgVXCf_AUnV_`u|7p@7W`L?HGge`5cNEGvj;%dOvtHh
zHx{@^trzb9+AaJLJqc^t?J+QF8CFTJ!-<o&;75}fJe<4({U8RP*loj3&nV;+Hek}1
zFihZkqU%FeVrFzOPN@pQCe2_}?hHY#AFFZvhIQDpY$H1IoU%o?<M7AOZru1K4FgW^
zMKSaJxT)X>rrj&Yj_>Dj$-m1O|ECo%5AgSzA0Khx-!JUv`<hp@Wofjd5<U2)LHe50
zXwywo3VX?s)FNk^E9yya?k(r<Mq%__X)7Jx9Y<sK?dE%Xd&m?s=ul`jnLf>-{0BLd
zIxU;-m#5QVhh)0L^U(dahSL|GX>gBs>1?Udp$r9C>dfv!>s_b${nrM>6eT=um@M3B
ze%-q2Nf=jq>>g+3CI_Fs>%c`mA7^pE5xRn1;MwGbaH@L&$d|Z)i-<F1R62n1R9o1|
z_w>vkS^(}fgU+d@@bQc>WN^kH|Irw<&Y42unOR`|$O>Z28JxQ32u)S4@ZaMlptd*=
z%5>I&S;%&1NKb^xXVPF{Q67+g33QD-1wEzb;I#P_uzhp~uBN|$Yb(FN3*N<7;x&@}
zQ&nL0+s3nR+jJNznX)_vY<kZ;mi^C*ZS)LbOKwH7r*g6ESi)|$vM`MmkIP||&G}3r
zq=<zcEoRy_2iVpR`&oDBK6b7+hZU|(Wv9D$vi<v3vg!xU>|>%nYi*Tg$2;#s%S?VA
zl{^!^(q67)a(?5L?90NWCz`l@%Od<)5QRSflCYk#F#f+hwC3Nbv!)cH(W-s;>k)sx
zeV&W=Z|9)RyDa>%BomXJGO*)*I?j;Gz$L>o@nc;UrdjR9fi!+LUR{JvXG<_MzKp+9
zmg5$l<2TZv0msE%L%W7MsQTt9e)#<!J%|6m{^;R!wqKIsUXP+cM^#efcPG0%^k{0Y
zDXDevd)3c#=&AN%%J*1GmzRW)>hJZm{m&NKDIZHNDG9X9emAY+vti2o9x`!mG6e<f
zri4H7^g=C$5~qigiBABT{cxe#5tej(r8cD|$Wq=w51I`L@q`=C-;?*nX-CIm!l4Rb
z&7sl4I@{|ugIhJZBa;%iH}WUBB$=z+CyjgDcH?K<p?{s+cFCvQp`v@-^_FJtS2S_5
zE6#D{GN(9rbC652%H^u&rE)D?9Otk!l9O2w%t-}#b8CwiaFhGyaBn<ja|!hv_hpQL
z%XQ-axC6IO$Bx@^X)gD8<U($af;V^T=?bnlG@O%Y-@%p3C2^BXvpAcOB5uruGOoy`
zn!7JeT(`{~F7Vq+&fW1lx423KCSQ<)E3ImvDWe0Wd(2>7m;=0S_k>YTSHsqd9nfo&
z3d3vjVX6C3a5b+1@6G)A!|(xgM1O=!TmOOdA-<#kLy7l^YqP|BV^-M1D|2BH8=t^)
z<_~OSokj_4dvh8KTA$C{-j%SyS0|XOSQS%xQO5#%8rYa(WCp&-zV5GQ);%>WLhJ<F
z`o4h0zfE8*{F&iuf)0Zn?;(O>`0n2tE@9hyq3z}b{HRK}X4qFWG#N=2@?*(?XB$d9
z)+F1rT6Fw{7PX0Lk#epkJ$*lc?5)Pr^$X+pS%VtY6{^zCvHVWun+l2Ot5OiE(&%Gq
zH0t3va&Q<=4Id}a<62GHaX^a<^0i4dX9}4o>QIpXG}@}n=Q@k0)Bd+J=;~_&+P;T(
z3*9#)yIMoKsBK8v6AVb@z;r4&tVdv|O969u9`tuDdSIbJ13KgAc&ie9wH!m^cF2->
zxg@1N6d_5?e;C!)k0PDjC=&D<2X{QhIkxvuqW(6H`+XhP48Ou>RU5G|_7dLz#XGaC
z&SQb?IV_Vrhp~z0P^|JizTy3AANnrggx`($BkeM}oV<oR9GlU_?+$i$-^Z-?Px0Hl
zF5Ic~5z_=;QB?R7XJ!3|cOQt*OEF2F>%#k|D@ReI)>uj`QsuqC6G$^wi+UeTp&~gw
z+Nx+k<xh>t(antF*IJOgk~OWf7En|hN6#C9UJU{L+5(hez)`)D4ZWIfNyeMaNcNu*
zsod5ljbBr!EKifnuBuY_!7=oCjx_ywB|^7({!<jc6G<7}i6N8j@cY%PSYdquVcS`p
z@vRL1965+{`M%i*;a)6K%tFWHbX1W|<NX?YaR1*u_{T9F<(6flj8P8OR_Eb{Cxz%=
zbP&1TBe=ZfBqkbGVu?~6R%{dE_NCYPY;YSkW<J6>FJ7VYk#0Qn><5<F4x?QyVzfC)
znx2J^rW0|>d^Tk~z5YFk{^Px4Aq9rCyxoj8cUjYtT3dQ$IEUs~%%`x5g|vE;JGt`S
z8?#Vv+T+E0xmA3~JkyKLobjMFs~6GnEAwb?lRb&=wxKoCOsVggE<Lz6fka&uX#5@t
ziY(+kt%qKs)`462>02#s_*9CSn1xyearkjWD9-%ph97%vae#M4iHzhKx<y(Ttv&&B
zt<-VTDRs=!*1(kDNjTO*7oFA^V(uez3|wZ5``*sOAHGY_@4^Z+{Sl7*ECAmn?ncMW
z8QAbTA8lJputIPWW2|d<k8LAv`tK%=xOX4L-MVmT;urK;!)FG?#OYdvES1%crLm(X
zkj;fDBy-Gwa+}R*m7*=ZTjfldXWVFW<5IdA7EF0*VKky^BYo1}PUCWS(w4b#G-Xsg
zHC&G)i^Z|TETZ{b&_-I8yqZ!1my*iw`ShaHnqJ)1CE*w)8u&V#oQFTd=DoGpnv{i4
z3<B`e?kPCU?Y%H)bCxh!M~U|wsW!etD?#SB$AU4vO5A!;LvA#);^r*3;(m1)bD?FE
zIGI9u?)J>Dg1o|d!K-Pz1P^wq3-an_*nCV+ZdfL6+Nj!=*_e0XT4UIQp~fLy6`qT4
z%mdTs3GHKog<`2Yg&QZO3sa};7e1>#DGctpAk6B!DV+1^iE#Yy9w9er82*fw!egal
zG5h#Lj66OAPt;qZ`|x?VYp*Z5<%MC4Vk~Z~OGSUDd_3^{Feau{qQwftRdIK)XXq6g
zzwgJZr$tGuTAn7SkE7YMb*SR*OxkW`M`i04Q;$y|&3L(iYJz!}%eNGgSdl|kyNl?9
z;$b>ncY-WOou!)cD%z}GLvKG+(ZW+_sB!Eu5)s)?qKRqb))_^!PrK55Rc$&vy%&4@
za`BeF2o~%*BzU8v49QPp;lQWUP`v9ltoX_Ahno69KK>ub-yhCmE{|Y$az?QG=Z7;)
z7{+3w{=rGrKXA%)5X64{f>H6m;P;1L@XTZo)I$D%O6-5Y8i%t29Z}{pD9!?=OR=LD
zWtl_aXtwRjShho7jjg{mf$3yTV&gXGFoS^UY`>E+d!RmxC0wy$={mr`)Q)A`cI5LY
zPV6qsXBqEY*o10VW}E5C970`~nb|xx`r{n-IL?j*Npb8&x;eWu)rcMI*I`ZLG}-W*
zN~}#!mT7O~Gs7ppgX{N~;HT6EYrPs_UjG?TAI0y=uI~lG)D%cEjD?h%4WK)9CEQN+
zgAr%EAjjPU;^*@HzC|7|-`WcrA1;N<gMpwE8wy9~MZ$Tz7|=VF0M{<0K+N1MIPF;g
zt6m=jhtJ1gSX2efioXC8#$JKxhPUC?!-vo(_Zm7L^6XHPAqX5L%92~9m`VF+R;8fI
zEHgCOHcK65I?|9`>7K>Tw{k4B(2-RbyR!UE9&9BnWlw_wS!vx$<|DC|jnG)nx>~|{
zmS#8$HCoT^?q9>o<U-hoSU>h!#DiU|bz(<aY*=(A&mrRb<d(Zfv6T2>{5|0nJn6m+
zl@?{N@?I*Kn5~3==>kZ6sRo{AgM5GQCb!z@2*;)-aWx{VIPJs*+}LV6&Npi|H`C3T
zGYRqL&a7L<{W_Y!sVC)dro)eLyKdETDwQ`l?VM*^{nBsT!bA};YLf$Zer^~3YzoBI
znZR8BY}+5^3c~PZaLzLfqAhknMnMvE>u1A2$bK+eatt=gR6|CN5X}FyK)Ksfn0N9M
z$c-F=^)}*cMZ7%g^;Bhp7bY>8qchloQI>4SXM47P>LQlL&*}<HLs{pUC^qmRmfbtP
zn?3!whxJBf@%!am_Bbt{oz5#@20!xIp@>|z|7|9VHBVuy*2OYyueEH}3OB~_&9T&_
z<Jg_-L5R^8LPFv$SdgU+wV2MW>>AZr98w^x_8Ebn*6XA14QJfi8-PYJ>rq)`3$A{*
z9aVy&F?tX0aI)Hrlcz>v<nwj7x;+%HxUa-<r-N{T=nAxt4MZvH6}Z_U7#EkXLb0u3
z_+ND-wgqg*zgOe%wrUctHA%-(rCc1iu^({(?;)r?gZKZ|p{2=H{J8WEM(^rG-P&%P
z#rr4>O2p{jA~}-GQYMKdylbLVj|M}`h#zg!cJ29ep=SyGYF$BBi`P?*=5|_@98Z;5
zNfb7?hoUkvDO)9nF8J)FK+U~$-6Wg7uT7_U=aZ;IHkR_ntfTsiOQ@)lqtlnQ>BJ-6
zy>Ra_KE8e!4|^=fJxSuYe4VFIW!74O;mdTcO!gyZq^b<d)*C|B4+iQA^WpJ?#UMSO
zzcZh7gJ&v>V93n{qzC4LU!*<MPiN4x$_73zvxGgS=1{|TmHK<kprvmXL{GAWlwCYx
zb)qfE4LL#zf8TD2_Jr7(0nq2T2JCS&w7bW{F_~0wPs@RvSNlOm@fg?|R>2C}Mv(Pv
zhJme*Vb8@65HRsK2z|vEG|4fW7T(<#K8az)43-mT$?P9HuyrMinc*dW7C9n}>CE27
zU_t^DxTdgJ(M;AOmdm6R`CY-sBKBQS%p7j-XN%nnS?keU_PaEl-JPGvX5?&O{`E`P
zg&s@RYc!4-Mg0Krm|9Q|35U8@!$IfdFM(T^yD+(OKqxC=g0sq(VnNq-l($Gmd!<Zt
zd6R=8D|6AsITx3!??pS;Y}^Z(_{2ONU#{DOcjZ%2$~*-_{!7Lsn^KTx8RI~48pir&
zqSJ>Q%&{xLnUTf#Z_8oqS#lCR6sz#p*^Ah1a21maTG6uiG3w2H$N$`Z$AR`?v?)ZA
zlsAv!->0hN{BI)vcRk8Cnn`2lb0m9oF8NPzqw{&o=)mihgzXU&s=b|VIK`1scOr$~
zNFr97LQ)B-ls+<*j5U*~@l+x?74M`2pEpo-Q6R0`w}55`TG4#|eEjhf&y2MEgpO^O
zu<TU^stkAKGce*<k(4P+|6SC0XJUiE`A;y{=XZ=t9BkpbqTX@ZzkhHuw*TdBHUHyO
zHxF@g_xritKi!<w{a0Lv;zKUXsf8Qynz+LTbzJ-Evz&UvF;0^m;+~81Sxuz^ZYUy`
za~`*sJ1(=ATRA(IldaF^Mn)EK-m6PEk&-fQwaOXp=;L$Td0s_vd1(u0X8o8ODtyls
zWd7vN7Ky@54>@R)QU%RsZCF-r1W7kJP_%Rf33Y!MnGpeX-tnOAoeqb*3c)$-7zCcF
z1r?(vu#|fM*Z6L*-K;+l@ko;Cu2W=L?={&9hZ*c=sx`~1a%Ntqeb^oUHLT-AG*jZA
zQ6J+onW))5_9^-htCT*$%66P(+e2&E1^4qz9nZ6!MzxHaeU{CuJj#ZJ7O-`PcC$SP
zLfGXsR;>4s3>({d5q5s#6|yl+g5v}ILNlLD*d<<$h70ea3-7`?XE~f4TqVe)N{TEs
zWN3@23`K-X(+UeIGI=OTmt!Sp6rVM`y+@2c6Nu4Ec`-V;QH+|M#i=<{g1UjvLwZQl
z$QD_8STKqjYWU8uk}|netI?L76X;O57A0(%LJi5&s4ja3oryQ5lTK!I_?`tFk+q>Q
zuQ-ylw54_tJBpcRPq{_*^w`0k#%b7*+&EiOFyrX;dMlFaFeA%gBN_*KB)3_cXEuzd
z;B8~+AD?&ji4&u{;zQWHq8oMnp5ewB{9K4v7C-x2gX3*Z;@!3q9N$oY>Y~}`S-c00
zw<n=*W+G}`kH-Tt@mM}D9ve6CjKy`ku!VP`43zG{uEtEvi^@fXtA%J$T!KY^%W%P~
zay(~Wi?ehaa71boUR~XaJ~tlX?!&JzbEq3XwGLp2>~ISCEKbu!Wl3wk0;yhBB}pGm
zx*$81;%-mp8SJKnCRQ}7iqY23j^uW8KCPXym`-(hQpaN-3VXMV6khw&hf@KRs2M<#
zQ~b#8gb%$b@gPU}1=J-nhu#(m==X3_`m;ud>c^|oeII!m2p>Vsi@R}2RtKglT|)Oc
zM{(zdEIgaP1BX5F$GQs+_;$PzHr~;|%H3n|*C$D|**^lOZvH1+_3V#u?1le?<`yE@
z$VuX+S~*N!rG%NL8obw72WJ+Wp!`@4YdoBBaM=<pHsBp)t&w<KD-KN-q+sCBY^>1S
zj|=V}#Xl1&@QlPI^xt=l=U#PSYv&70I`kQR4E|tC6aVw`RF)ns;d8(IomMkShax47
zY4Hmys{LS3XQda=J{@mzP+37<r`FQz6PqabZVc6ZiK89DL|SupH>Kt#(fhec6men~
z`R<FSv14QC%<phg6A2{uEeomTh7F}f>(D{|p8U}FCz?q&V|;xHZtagiBUOF0yz^Ap
z>Jcb>R5ZWw*Oh94j<+Kx>bQqnUvZpse0h<Zbp9&m`uRHdM)Ddr!kh1V44voF@0W8w
z4wrH+gL&Lar&P}5?hY<aZ#B31yE~V*d^VR?V9fa*p2S(lD{<dvNOLuL!#Ruj-vx8B
z-U+ytXM$Vp_XUeLw+mQdo8Y<99l@854uQsnhXSjM&jm|vzZbmu(kFN_W*E1tUV>X3
zJ&Jqlug1;XG?^=FGvYMkInMl~3+KDskCV9_&dE#0bK-jG+|-aluJge$ZfE{EF6-ts
zZg|!sE@mvx-JxNSkRSv3VXAO?|5PZN!OsmH=Rl&254<?G4n|LkhgYc?uv(`Wq7+ZV
zrnU88xu_Kix?Vwx;3v$VEx{yu6xiFciOeI$kojx|wqx%?W_dG^9UT_MEK(9#(whvX
zxT28Fy?ulkw4Y(Gr0SUNKOwVJxyCM4-()cpZ?T`}uJO5oM&{*E#ZKQTVPW@En2zCc
zW|FMS&du!vsj@}jf1;t`@Oyhy!)gq3>BqgfV`!R)HeJd$pr|Y}+M{ks-qu!h=dvYD
zS!h8yOJ~u5<xGm#G@&#@BT|hqAj{D+$orE%of6fjZcjZbe>{!sW2RBK#WZ^OPnUu&
z>r(z^U8+&irC~Wb^!5$Uvlg35H$G3M!a{9&E;)(PW=*68Q#EMY6LtFQrbhPrl}Y`)
zB1M*uCgUVI>RupCM@CCh$~{r4K0KW2NB_l0wV${l;u}8F>A_~F_qg<R7w#B(jxvQ$
z@x_%#IJoTr)?B%VJ%x9X8+I3MzIEV%)pv32%6mBT-F?(}@et)*p5XcEop@yPOSIE{
zgIyLMu=Gd|ZVdc}66*)>^pznza%vbAW{FUChB%2I8c8EahLk_aldF;fP374QiAz=K
z!YXyz>7zk1)3ivbMVr3Qno4zny0qM0k7V!alfK9dYHyiAzozp199aW0+%kg-f~V8<
zdwO*HsxH}BP9?C?rmQ=f<S#a!l-{e*zXU~k`9+>$Eu?8eq&U5;<TKBbgP8E^EA}n;
zz~2d9@;!=2XxG$^CrX=ftUb?1sv`W?+kkGrFQR8#9d2239#7rkGu&P0P=)vMte$uQ
z^JiVceeWCaf-d2afvdRL@g`m#+lrAscd=#6W3(}Qf&7yS=b!4qwcoy@!=54hf8KgS
zyBMLk6pe6~BaL%oNPdzsVa_-j_MZlYcx#hup$@fI>QhIyA*swTr7as~k=i0lqB?7u
zlP4gxCp-f@5_pFTknuK-M&GlcLO&~7H^H1HD4CMqLIWD}QkVWdm_*<@o|1x;NX|l@
zLO)56U*Rw^YVSj%w{LJa-}U$6nsM$!Au1==;^mOjI40%@ZfYw=Wv>F1P}qx6-!k##
zTfSfPG7U$yrQx?j>F6~l6aQ6ZW8d9ee0X3V_Ddc>(~*Z!t>8EwJbMPEo%zodT#s_Y
zuHtjW7EC;R57(XS#QRg<<0{o}_;1?~=I|b)Ae1Ek6rK+pqew6Is?pmfP0AOaN@Ja-
zlSHfuh3~VV+!&5}RP4#x#fcsccO{vzi>W!pgVG)^p{-8d)V|-F;?H@}_c%|w$nyx?
zBwQ&5=a4qvzbfBoPD!;hsCS|^b$(Z&$W^lRihr59$Mo<_xCdB2l2FH|9L-i0;S=5i
zE#J5m#oCvn%4ZiG{3t-NG-F(qp^Ik@PeQM)nz+A71IJiT#FK^E*nU)(_v9J!Jo8!j
z>=)o!QD>YW?SU%)0?_Gx7>1{9#|Jry80N;GUH9ao2Rnc>w;aRqR+Si&ehI&9y@t;u
zI?&MiIes4BjSZE*aAvd!P5dK8M)$^0-|%s?g=dmHnypWJY-iG=)dHGu%#qBVEui}!
zylB+X<utZyHJPrCAfMq|Xlif_J<^S(F}D1y$vcjI@N=fx88K9;8%6Uo*HUq00R0eK
zOcq(T6c}Sj`p)BNM*K)>TGNe&&#z+S!V)ypipI?=03{|#qqxT<Vb&=>;aA<3M#GN2
z`U4eP1tn!K1a>3kIm;y)-0QSS+@om|xH&$fxl28N1#?B)1q&h%2zr(-5S+f*Xd@YX
zpx*qrL}QQcwnnX&=NeUuzBIxI1>u}~2EwRHXW_%+A;M)pVueRNGKCdm4+_67Ji{}j
z8ilzxT7|(*FNKR9^$7*@MKGyT7MY1Ez6+X+OVf=}@j9Tc{sK&X>W?x%BG7SuJP!U$
z!#sY^BBNEtyO*nRWzl7<KGlIgN4>$lF9*;iUyK5GjiO{bbsGLahxDw>NOheZwFE7u
zQBr~Q({clCeG^MdEK>OMSvEahTuAlBhsgKOF-jj*P9^IrXkvLKg)gZfHu^NBXB?rH
zs(th?J(WVbBgy~Ee7bdkfA-G(ioUjmSny*s&v7iYcKSXH3hY9mU#tY~x*>QqK7_%l
z_uy0c4c=+}1XIV~;G_2&d{6uY&ow__#LqscJoy#=-R^~w?9af|K11-<&k!x_1>-MY
z!9c1XR>}SX@$Y|Nhu3gce@K+=m?z0#u?#CYGm5!*jAd_tX9Wjpu<9ypHcE3EGu>~%
zwvV03)HYkPVP`n@=71gZH=N66Im~C*FE3yfyBD*wo7~yC2oGi);K8=*xwGZCh@BYg
z%EEM=n6-!<tE{nRg<hsCKv|EqjpLm+MM~_)ZE5!FGoR%S>468w9zyf)D^Pc`5>^b9
zz)JCKxYd^cV|H(VJ8%8L=;cBXv2%dVyEgF6*&K9&XF^z~DVVJ{1L(2<;a>st=h#C?
z^n7UD=K&Yn{9&TZ8o13i!}6LqxYw8rDUbzmR{LOl^&z-->Lm0`tAQD2jgWiy2K*;^
z5AHmD0ci_*AZ+z-2+I{=Yi>v}y?J9;qq-V<ZKB1JlBTgaawhBr-<!`5v11J~^V!ry
zch+%gDLd~T#JU%*VG~wIu+qRNCNq2+OB0P|fBEk30ncsBcTN<W|7krN;CZnREtj(5
zi3?b`K4W6FhCH8EgN+y_%lbC{0L>Ha(6Hq!Y&wzwi5r4I%aq@Deij2aPvWMnN#MFR
z=x`x{je^n!UBRg0&(;OU<}{R!EorzFkkT+{-dgWkt#9LhO+>KEC{$2z^NirfK(`=r
zxDw|!dKUNR!xFA5a2qFOmBIZ~IK;u+YR<X0iJPMSn9KXx!<Anf2JNZR@c5|`xU^`2
zLZkusc3Z<)XJ_a+>kV$Ep^!DO9iB-g{g0*d4$JX<|9CqkX)jG$nkY)C=Q{6XljxHo
zBYR6_lccFVNQ0(ONmHV_uTw)bBnmAG86h$nQs4V`9KZf~j-&pl?&p54`yB80>rJ#>
zV~F^%D@5w(O=7nD4k_PUO-2tsBk!)iB^RgtCQV-i;lj`qs4P^1tD4%-!<z-E;x-(s
zc^Me)a{=AvozQpk2+UUTgShn}km48xE9)+S!<l5r&`E>s2RU9LUltJmYrvnI4n^~?
zK&1FZaM8Q~zK$ng3jcbLcej8Ubuu8ky@Tk_;c|->Xpre|<arq`!ED(9RT{XF%gT}n
zr>*nS==MdoY5%6X)ah~s6&zqG7l%wk=5nw5D`<$*efnxq8EpzIrH2;Xp)%Pe^hA9L
z-BNys`UT&mmfSP?PD3RfUsgq<3hQW}z!O?y)ke3ubkjqwALx+P4?1V$FO7dFh;#mm
zp<=8Q#)K%M=?isS?x~9@t4y%cZ61b(*y5dvMab(~g_9pTW2Vz4G+w_0Z)WYoOrgWL
z)A|VBl{${Ax!mNpCC53B>{0AEbQtek*oy|-*{f#fj30EC;%j#+e6iX9gWQyH>98mU
znti2}TkGkUMLFDFBAnJ)?4a6(bLqlb2`c{aIa@KB%&van&iXCZU`4LKu5^B%Rw?e}
zTlwMA{>rsFXDhW1U#@H|uBcp;|D`f4L7HPJn6hK)tJ&k0o~(TP1vbX`3OipcpIx!9
zif!BQf|cm+XNTkYXmZA6YB^JpW?Rpo=>w+p#0DEG5x<<?yuY4KyxmJ>j84-8mmvCc
zNi^;MlSH3;UZ<NHi|8S)ROxYlLQN~Wso?wp+HjZ;&%6`E@nKm!Q=pDoQw&g=^W52A
zWN^lH2ke=#5sN<V#aFe*v6-Cb@=8K*KsyTgYA&K^U?Qh$xQeNZQt@I=DmDtI;C;m;
zEG>=0O)o?75yyi0X|WS)YZjwgyDnZW5km4`4J{fvPqY6>QoiBI?4;kjcz>)!iHf8>
zkxlX@CJ#f2<Cl0MU7o^mfig+#lq>?eS>&43HS%*s2GM~ua(_Vzi8y_QtT#y}Z@iL7
z)Q%)V<&w$i@GIo^ixiSGl1?1{WRb(oIfU;*0m;<na<S4_a#^sBm@j`ywx8@EXJYyY
z6E{fCo}D1fO%XsLN$6{mhhqZj@HAc*9Q{q<MwumO>oD*&kK=pJ{|_FdY=Reec7f}1
z4+x!p91=!-;ElZ>%&_-|GN%A|;1B?7<o&@h^c)Crv$=*F9x!+FHrU6p8KPJKkNGCh
zpP&rkr-h(xyqkC(y2IrOMv=$u>&f2|RdV=xBM*Xh@Fdox*^X|MuUua^UU{;Zu+0Pe
z*|Z1e*@vAW>>{|p^4SEk4_=*N7y9gFjlQmBwKiF^{?%Hn)hki<_2SM-P0{R1lNX+q
zM~})^wuO6CNNszxz-E7|&BIPh+q|iMwm!jGw%#)z+lnpuYU`suiI-8J%&QJH<n?vf
z@amtg<|$p>&WrUt!CQbqyaVTAd13OYyqv^aJU`QN-o0P-ym?c)css8S@K$`}=X7`y
zq~)CwSvI0WiitT9eq~2)^*RyiyNf8jIz`OILx{HNMH1(k&gDVnlQnlK8Ts~<Xyv{m
zwc;bhD@GJ%hR8ywmnLMpm;kZ1f%l3l;c4$ikPSEl$zOco_F8WC-5d*djjuq0ZWgTF
zo(K77O5pR*JuqEX32E;tA=$bdTwj!c)~+1LZcT=w^%o#OY!9s7ZwW)%!f^ap1}RJt
zAb0r)J6U8o$AiB{!&kqg2Fu6khC~U>JR^@K4Jz1rSPj{E++LHa;k*b{R2P_rYFm{t
z;<X}1Cn=yvjyx7C%j5koa=2Yv9*<YZqh+B2PX4QiV-d<IzI_^QIi!YXu4&-XQ7zPW
z*G7>>UEIU%(9fSS#1&b_n2~IXr`F6y*?V(veytf^-fNB$$>u2JXpXPBx_QOSIe2y9
zER=t4j4~YtXtG5Q%?`}KUy>SJ&!K|Wj`FxrQ3^la7smrm!r0tDL5=qOrcsOfY3sEf
z>X`YGZe8C@Z9D4dU-JjF)uWtViY=uxt`<>+h<v(rQy%>-dW$;v<x;WgT)Lv_7M*?c
zHkEu<K=Yc5>9L)6>DjPy8e@&r;6N?i$nlw~Nef-`@+CFqW+<n*9@Avn0L7(4RG@i+
zZd)sa&w3}}`sgXB<SK(2W{S94Q57x5G;y#^2bGfyu+WP0|7MwCe1ip^NV3Mw6Sg?{
z9pI4pLj2Tak2mTUVf~jym^fz<4o5G<WkL)>uq~dOZiSP&&2b6WGkzA*N7HMXINGFy
zq1UBQz?sXm=I6uLX#+H?@ik4TX{H6052)1J5}NFoO_!>t(zk2k>C*3!v}YiMn%W1@
zU9Zp4n*YwyKJ7Dfi0=%&#rjZx)pJxY^E`Fw3#3n<a~|Psk@RG69PPDEr1V%SePVH)
zGAHtAfYlv3da{z{TRo&oC!1;U{B~M%;vMbh&e7WAqqJIC5ZO6mSbu&h_K7Oss=KN<
zD{Kb395=w%oUglklO-B*Sx4G0?D3M(3VbBL2Jd*R!vG~WT-LXl%SGIZu}<6Z#EtDZ
z9<~kteb|EAZn&XGoiko`a6r0t5vGh-qnP(B)D+O>SQiRta!w5SHHSGCSQl-Jtfq$V
zbE$+uJl&msp5rZSr?Wg4(-qYwbZV&zwG)_3jV_O~x81+7<1z2p>+Ww@FUcPE(&zVV
z<N9yxi<cv8=LlD`>q*dGtK~UuzXoldWk5GPoJ*CJ7`lJD1Kt1Gjm|&5kIREP$$88J
zXxH=zYPleuuINdnrK&k}=ST@%=ZAFlgGL%v)lT<Eexxsrhv<Pdf;ez$GJ43$ak>gM
zeC4Z)o0rbQqHR`aQn?W4fdejXaz!z2YIJ7%LEI*C9Q_Xa;=^_Rm>3p>x8H`KziB9z
z+l8X>a0q%B1z~NyAC{z@!0PC|_#@i|H@Ggu2gWAY`dk5{<i}~4@)H^%mrk#_dr;L(
zZR%`R&8k~*EU??9Hm|-L^9;5}^UU(fc@abHJjq?(c=N<Zc-A<^vo-(AJN4u@Z*lck
zp6Zl$yd_?*cxx{<@eX~h;zhnF<Ndjm&zrX42JeGi8gI>xB;MY~mv}A5VtFqPMDtX#
zqj(?mqj}5vVtAjsIUST#BG36$3a>&li{~Vq$6Gb4l-HSqJlB9m-toqE-tNnvcoY9d
zc!Lrmq)S+e-1w_P_6g{bfLZ3`{#Ayo+P#J-=4>PJK}X5?r~q=KDT)NjTp>3PXOl94
zGGf<NN46@r6W)_AWKJj_?BH@<9yu#Q&Qxuf$e#_r<`Xc_aDcqd&G7xP2MA3+2SdUa
zz~y5MER0P8iw7C-PBRB)EH8k|O(oD|au-g0DTOUj#gI~V3l5oNz=tn!;AnXs-q>se
z?N6rA?#l-&eA9`do-|2Si>)+B(4^@HLn;5kd(=m~n@*$*(YyPFu;;EAGX4^n&1ucF
z962rIRtW^T$vEkj7#3}sgt03`(KA8>-OWVs8^^hSUL}H1B#IBFis3hoC(t=2fnL5-
zF=3qyt~$Y;yB$h6#ak8g=4s*&1#Q$8)yEUVhA7D8wHIA6!@VZloaLkyj_$X?wm}|x
z4FSsUvO{Ilg`78SA)XDg!~Ai;!&i9t*nI)&Iap%BK{MR*#27~c^w2n06Lq&JBdL<c
zhG8+hsV#u_p8cW`E$``=?+e;5{g}4pRnR5J3h6iB8&vmY3jOYTnd%>pq20ydv~=bL
zx~MjYE;t@YPZ$N#z9)fHe|0d`NWMVrGQ;Vs_0d$K_#*vrEs=WZr&4pyC$sfoE<M*#
zM9mJ}r+<8_XwTFJ>N>5J)~0t;>uVpWrq)mTRCb&umJ8vvYvR~Wr7&TVB8DAN<8laR
z;F)*>#5uFkmbJi1Gi^E9??Tj@y9`BB9kAep6Mjl@L4kn{_?6*yWXCsS@uAJQMPd^-
zliYxtINiUVnj<!MEJZsTz`Z*xaJ|0~MnBiYm6zp^r!WbN4TtFbQm)os{*dObDWDNr
zSE$MF3v_GW5nAoMo(`MaQHKq)XmFSowK%0feVZletJ&f-!+sLYyfcX&na9l{&Q7Hs
zYvrl2uPXi0u1z%<6Y7*~Nl(A9qcc7_(A+vV8gqOvE&6+$zA*Bq>8rx%$4_x|lgL%-
zn|qzEeP2K|@0C+i^E!IW?K!o#?xCD6fy)s4NB=Vw!FXLsH1k!!y_OnyV+l7`&6<tB
z7Fu)nkv)ceTZM`bTySXHRvf#w58pd_qxa0y80vKnvo!qC=SKkU!a!`<!|}f!`*S;x
zb7)a~5<iR_#OwerOC#9<)vs~)inc!PEaI57-$tmL-V>_1AdCJo@TC{_TGLg#{;^KZ
z7uoU~qm`@k_u5>$KV;h-xRUoM{XEZi=OrHhi&S1>LMBf|H-qQ=;0o`<xr;n@Nhq)I
zDmS}#*u~2VSjD^fc`k4B2$zv1BFZz0?6qwvF0-wUiM6$4w%B(2tJ^B*RoU?UoniC+
zuywiPYVV4R3tv=B`l?u&=)+V>z1~;(c<F`88Ie~j7fcjZro4Pusp8sIxuEiA<&Sh>
zc8{VAoA0K<%ElS9Zf_Q_W;<81!7DbiBjuj#jKTBl_7jopQORVstMMjV*mjrww(Jpm
z*P(;0oHD>ZbP=GVb0w+i{Ao1p>`ZPpJf9A`ETi|#H`1r?57QGX{HYNeMSHeirKYa8
zsBKvV4a;~!{Vd+nS8>C1!&gx>kCnr=CDU=H(rk?8O6~VDYw+nDj<xD=4F9AC;GMom
zJhCzo|4YckC8zT6dPFG>u4A#(z6Ku@*WtI}I*i#@gI#AU@M%XrMtP<nNesbqqb=C1
zp^p(g9n}Bj8qS|%W;1TYMZ!M4O`Kx}$hRL;L35rKh?H{8ey$m8Utj_8J1v24)B>1G
z^WbN`Is8tZ17D(NL3^PIM9Uh(P`M#Mz5%TNG!w3FnF(4FGa>ekK74+v53io-gK@h)
z$iC7Cry70mi_-@^8}4U!^q^!^7up1LLAhQV-mRViOsp1sjnRM=Yt&$Ss|ui&5;)k(
zgNd0892c7k0`-$Y$!`)^&gV4kqx{g6_K)aY7$Ro$2f4HM3-Mg@fe6&~l9q~YqGR1b
zjO<?$<JYaEQ2aTmeAq$+<y(l__ot+W^Jxk&&xmvWbJCsEM!Y6olKZV4#9H|^Szp~t
zwmt15XRP{3+Q<M2ne>|^Z5bs`M<+=02LU+PFANQWVjyZH0k~-@$X()cdg|ptW>^V?
z<y1jKQ3EavbN@%4Hu!VdJqx@z@ArN~u;;E*teXj(=9xkamw^ylU<znv3bW^#fE;(N
z|K2eGf%*E-&**?wmlh<+s6*CwWrz*rvI^fz!5ei6=(86E!2<%2zv3?u5g8=gbv}{A
z+Bd|L{}tKy=_$zxuP4eQH6(Kml60F2vRvgJnO9p%-YmF7jE|R)ZjTZ&u6~DDpDZP_
zPL`20g>sU<m?cHRRitq#=kK1<KpdAnCC^9O$adu}5|{dxe7x|P+-UhhvJa1t$b3Gy
z-XH|Ulf>Z4<|%NpUK)<sD?mw&3e2|CfP$hKP&`>5_S+gkoy{x=8a0D0+bzImuN8!i
zE`S??JlN>X?V}a|TwDndlSCj&jcebU7I41U`Cv-tg4opAaN(vQyvxvmuL>IAs-eVj
z2&7=ShZvOq<%c5PZ_@gwkF0TeMTUbK$VaX>QWw5M&YsI9PF9&*F31(aaluJzXAIeV
zJd#w*3McD-hmy+TP_lkw7@6H2PS)y05i^5W()H>Rku^*rtL0M3-SBJVUsMj6$MG2Q
zrk9cIY)VXS*O9v>PdScdI|)j7OG3_lC0o0O$aN<!S7$&3q$?yqpi~A<zfgiB+~4|%
z;|C<v7($E69GL5339)-@q1|F3Xx&^2ZK<n3lW#3}W;w$SPgi)taJ<1`F8A!{1|Zj5
zVa^d}nA+_KroGF7L@tD;ach|3JO^5;^`Q8?Dja<(1wRIa;0O$oM!OEO%(;e0yvQe_
zQdc>iemDtwa+*xrzKuN8SVgM47Lcm#rsT{49g=!OowQe}kiG-TB*9gM2op8Z)}uwl
zCg~Ghe^a6~%aYW61rnaMg3G&dAx%%VlfSb)NwTFc>8uMPL5-25Y58R`u{4dVm$J!{
zx5Y#=f+h7Y9+Q6$+c>7<Tk`GBcfwW2<OqsD`dLZXc3A=3MKvI>Mi2JZ&4SzfoWFUK
z9mv<NfQuZfe_-BbFdf(hx>6o+b@MThx^f2m;T+_@^8=H(^RUt6Jgm5M4*K_>0VUBR
zATquOJ|A|2N$D%#e!mqQsnvr=<+9*XJ5K&3wvhv3`9yInl$3B9zAY-M1TvrThL-s7
z_?kc3&Wamc;Q0Mw<@3EFtd@)kTV`m_uA{5igz%MY!>AqGA#cupxv0VV_lUA~#+{W*
z^|C4_@o%aW&F`)t!%yzj7Cg6cHgK{PetpGOFQwU5km2XGe^BP-?wP~u{Jo5~l-<U2
zA3M$Cd4=+7IxqA3UuE&6LrZvl(lxxW=vLk%lMg(5sZri8Q&IACx(wMgqDErt4M<jz
zCArbKm}FVFkQV8^<g(8hvcWNgT;=jh>AEy>;!hsgQ&T}+b~F-K$Jd0h86?B&1>xN;
zN%*!>1>|M*Ag9b6-rCv$U&0ztE!hfZy}h8y$qy97L&4;BESO4g-j4PR?z(3~{GNQE
zPQ~z9@(#?`C;_Ti0C^cV!9M;fXih`|bv_NRcC3Y%7rKzU=?9TgyF|>BCU{aNZz_kH
zr_(p{Lg@V6CG`2DHri6ivDGWasqkVU^lTGBy}P2g{-h{oa&_se6~g%ak08oc2;gSq
zM}=wpXv6W0a)kIXJ&hm7@&$0}Y$05&E`n8FlhDp^G8WoMqGX0N9$CY2>KSF6w@VE_
zmvD0cEnSRDG{A#0rs#Xj4An|4(73`H9lUv{P|M&}PHWQLxfoNumU5bcWjMBc85-_c
zifr6s6nwZ4wZ;j)vR#0Kar1Dk>?|yOrjNtFxjOi&5|^Da71Q-aQLcQ9j-TzP??1HD
zfVuVbVoEtJ;y4kSyE5q9-<RoLfhhVoESP3q@S~Y8Pth;dTpo(dVcKcP<><K{qLK#=
z(>vVvg07yVv1Pt=Qj<S*@(rQEwGs5^<v2R{Baz;1Oyl~?n{={B0qt@xqlauCP@OCF
zH27>Q9qfBe&7Oaz28;ht6AkWKZ4l+^_$fFNB!_DcPQwl^Bkx}U$3YvKh2A_%Tym6$
z>i&yx^~#k<3fJP9NLSRW+=Que+c0t0P7Dj(jS<d!@Jjk_)LFd~OP6fL{Bv#?Jnn>k
zEz5Dg7T_$6xj0QyA3Lm7@Zi76SmE@SUN(JAgY>Ft(}Qg4u|JkJaQd}Zd@fYM#gh7U
zs!{Ltljt%20e0khD=WRan!ONK#(uw1%nCj&W?k&c*c>Nhmmh9mP1V|2*`J@-;q<?(
z_Hj}A`Gqw7*sDsvN9)t;Z_R0O2T&0|2Rf^FBkdADK-W$=L(h)~(&V8?y5dX%J)V?7
z-MLxI;g&KwAy`XACtB$9rZ+U^%mA&IouF^(MR66k*TTEXIEUl+uQ_UrmESE;jxspd
zv=Y1dTv2!Sc5I$~2=gAF;CRvJ&|qC4=FGf+bVfK{k%>fusz@{xjzr_zVK|W<jH_Gx
zFel(B22S6O$?sO-_N^A!?yQayaYA_dT`OI4I+MQ6;5?N-l<4t{t87Hu`N|X0lDxX*
ziM;C(?L0RjVbXO`p43}tk`x79l4_?<TJrRWs*Vn^cGM!rDpiSjry}X*mnG;aNv^ny
zlir^q<kUhTV#V=1yLRvsx}2XdY67IcOOQB6iIAW3#7W9?Nuqi{j(7`CBX*h7$uCDk
z@=a+jxi3tJj@}BgB*K+suG&qse2#N`(f}g!FoMinn?TkzWfJ+N1?0-}N^;Gwk%;W*
zA`8O5kv9Q+aQT=x#B0gJi6Bj&H;tgke?Ck|E(Qt9|3JKN8x;NYgnor{u<b@Ld=ZF(
z{O^~5&bk82j-|twgIRF>{tb9AaRWZ|W`WbRbO<}12zK8hA^wUVTrS=L1#21jd_)zR
z*7cLEnkl66fC)MN)s$zJ7Rqj2r9;P^Jn7D%OZ3iIE}gZloCfWvrK`;v=tOrD760!E
zEp=_8s-X?kZO3C;zqpRdo~)&VvudbAOf^lrTTP2gYG_y7Lz?IIm@brRqIUT$G|c)X
zExp}M-NgFnyoKMW)`lVaH-ite_(f3i0jK?VEseozmC!<70}WL;uHb*hxTVw_`-~Rg
z?i4$OU(4`<#2Wll?Sfx^Z^B-$?I<U;2d^jWN4wVtaaO@0?0b6<h1c%KbMJN`8|seE
zD_l`>fdf7`Z-*_L=HVn|ef%M=j6dSUP}l4ibr|6KQL!>AD|?kHp9-MU)HZY43QPLL
zSBWZZ|I5~RG_$AI-Da(3#IsF}f$YJQldP4C7pp&bgvIT?>^F-LwzMsd?P1ed5?aWn
zeW+p&U2bEScztGXZk%A<uZdGuRe^3-o=$}`P3T~qH4TejN?WvCsKDu6)V}-}wct2p
zUDw0uvVHN?pf!#9{LH0?xZDioz#6(l;Tctn>EV1HKj@_jKHPFf48y8raCxjM4)t*?
z&$8L*Hn9M6ZY;s7D^566xdngs?njT-<M_wG4^M>#;onVRDCil5Vqvkk`S3;5?YoFh
zg>iT%D;lq+hha`a04B{ofiq*bq1XFm==a$ar-X4F>gcaD(5i%bSDvNaU)89)Wdut#
z-EDTwKhJxq@`1OKQ6Wuy7UYBVa<bIJg(Qk^A-e0fk=-Y@5tlvg<i@X!WcdSEqO<Nl
zqCCx!{M@*b3~X3N%3ulUF<ng1W-%E!wS-vwSw^5_73pHv5-HX7r2mOKG3?z-O4lDD
zK54#0er*uRt&1R!#p1~q^;F_5olU~~i^)VOB|pzKk`zv#-evWfq}z@Xy<%bb*v&Cj
zQk5WOcsh*q7{g+x`H%zlP;k)^+RZk>ls|i6IQtmbi~E7=&meHz77nL$Vjz0_BCO84
z47!5}pc;|@eDmYs;`10-!GuAU-+2Ho6ZfOJ3(U}601xJ<1H2h01%HsJR0fgZ?=#53
zCqX<K<5Btb;tf_yTY~2JThQ+f99#eLL246ohTb<gPh*S%=ts{0PSfH~?Rx#_(GFi)
zfBFo48GM4)&pAqy%Dw0mjvJJy<4Fs^i|(#CLT_9<L4OLKrEdrP=u3?tswf{uHJ?S(
z?;9^u?RzOy<m+`BHI`3Z1~?98Lk-nVdP-}zc2f(3FVtgblzQ$G#*MG0;6Sqi9$2o4
z#LfWqZkyxEb3C-kT80k<oiXp2J7%}-$7%h?P}}Mp4#@=KQl|^JxiK6YmPVm}Y&1SU
z5{*_EiK7l-s4zJQb-K@DhQ>i$KGzkia{#|t>Ep_>Dfm~uk1DAZ(v9-xXuOX;T{T$1
ze#y(MJeecSJ5!&@D_sADr`99IvG`{Yk2$l*>una~tG^ZTO|l~6L6+o`@LUp}H;X(P
zGbD>0^~kM1(@Cg~26-#0N^HuN$ubuuqTa7aM9wM^X)ZTob+sya?xRV3SLu*E3qw-K
z`FVK<tjN7OJ95}<6=^bGPY!R{MHYWQLLU9~BR^_FiT~D%<YadWp^I~f^sQ3Ds@0G^
zH=l8g?zhCi;TL(s2*PI3DKPDXB9tdghpb&D@Ve6q*sqH@rp<rwFnk+)eRUWfO!I|Z
zvx8uzU<Ah!h=aHMiSX#=RX8e=4kgtY5D=XKg_>!gG&dRgZpJ~$sSA*natizhHo{Q%
z0`SXL2I)inq_!uMYzkgT6!8)-&gl=Azx16|*#@+C-$@!16+_Qs8ddAcp_YRM^zcYA
zg@zJ3sKt5FqKfFw$O3A4`Zhg$^%i|%m`gt`&!LXfa;P5X{huRqi$-#FlE9%tI_7bQ
zy1Cq^e7Z>W+8@$v?<Z98_Y0c6zK0rT_S4cQf2h#`er$d%iWkZyv2t7<r=+Uk>v$b}
z-ENHg*U!TVK^}(D#n|t)8Xd-5@bzqW4C>pBN_~g$)t@7n(S8#1R{NlYgfGI+v)Gbz
z2G=Q`Kv7jsv@6+-bB5foMaltxF6ZHGaT88AI1Ph2Z?NQwFElszA?M}Dq*V?6^h>4#
zy^^O&_lfqhtL7%KqY(?(s4iN$@P0>yiuX;MPd6NGbrdexI;@Yi^>hre_0->D`<bU;
z`=)!ZjZE*niqlRSm8n-lD>H6Bs`LpIVs~HHW)&6f+0zX>*tXs0SzXOI)=A?Uo8xnb
z&0k-~dOmAsg(beRO7i?vDQ7Zu>QbO99!#fq51Z0>Asb3AE~iI%8|WF${nTKc5B<#_
zLbqkc(k$&1YH=}#YI4tzN3q--amfq%$?795K0Qj8Och1Fcxmk5^p1x*^-&~oE{03k
zp_Z;Anlx`l-lu~Y#Q0!FQy?lhMPQ)MMa-I-j4vwEP+@Ks?oqyp=99Cr_SOy5%g@By
zFRtLG$#JN*DF_!EdZ6XHm6#HthbEi(P_m<tDrq`WpZ;jpM`QtS#WgwdZtpI_n-WJ3
zTI7;M7mm%CUq_aldP1aLwvZ_go{<LeXQY3_Q=)49gg8xYB*wb+<n`T0B<*`0S@yY(
zEH8UR#P-&cQo$y2KjbN)W3A-ah7O{U(L>svd?YoU--&wl2sy{{L#lu%_+?3e$u${p
z8&ZPlaT;*dLl>gY8gsLHbEy4c4UC~3j55n$uZklKM6834CpLmc!Bz+q<@V02_Cl%i
ze#rT`AFhq<1N+r`!12X)h!5HXyLLK*(}flAdK$oUCv!0J(S@ilictJ_5=hGYBIi2W
z$jjk-<k<kn!7~gY`JZ=@#D0dzddwi*8^nlF+ehC0lXbi<n$OEDOyxaV7tfQ!Sl(8t
zi@ee^iM+3_8N8^ew|Tp#SMbzK8hLK-x_P(62YJ&L2$Dx)l4Rp<t|wooLkv1+lON-@
zWJ|*e@@wq|Qh9wZndmr4_6P=&?;4RrtobszrkO!RHS);im)vY(eJwFBd`3?8_mCv%
zA4Djg4?fNigB`PFz>b{;A&+&SY{e}2Ze<O<{)^zQ>>6mR+XxA#_kh|zZ%7pJg^t+)
zaJMxCMlc+jFbXbTiGdU~ZeKhl1{xs}{v}?3RtbN2V0R2o{o4w`HOpcD@;TtKT@md5
z3=yRvBrZM?#A1NcH&s66<=z^$ofAA%Db<|LiYN}UeZLfF_F*IX^^FxRNU)=~UoECF
z_m|KQa~9L75({bRHy$l?x2D^k%%i*ub2ts635{$qq{am^sZW4D?cAbIH*s0EXI%~H
z(Et;=>g62z$k~!gi16s_FN<iN)M}b@dOclW&1u<Pz3ADWzBFbun0~B}rYAg;sMY8-
zI)12tF7Dwnp4{rG8|RVX&-z5WB1dWR1`*sPBgJu}Rq%<24%W)e#@IDBXr#If)!o)%
z+t2M-R_2NE*1qWaGZ0l>!%=a5ELJ*S#!Cm1QPC^~f4QdO;H4CFxt@%<F7Y@yIugG-
z2jH_?htam)32%&;W6us*6e{hdSC^*J71?$)xha#?4hgW`RZ_?MepH|2Ki^1Fe)*A}
zh0(<KMIw>SOeHB186<9VCh4Ua<fLsn=~$9VqAahHzmCadv@Vg%sZJn$n-j?T`~>o(
zDv`)%CX?26oVMd_I@z%7Ith-*C8Gs}<iwpa!hNjC_@2k4NA)>bf47@_wE0Zd=lvnK
zg#_TJt{AMmCj~ppm7q&k3ugY938$u-frRG*a1~kvZn+Lnv(yz9b8`g=x(^PUd4tZ=
zQ}BJ}IoNmiJct|!fY+LVu={oZD36?nlYPE$w(U6B$sB+m8Jl41)0MD`-x@SabwTKY
zG*rwRCJORRgzwok;<eM46v^2Ta+sg!-b&^bDNp5*JB17Qx7Al_f0@gUWE^DQ+zVmP
ze2Zm$g5%kB!x!1s(@|{8j9``|oMJUxwzHSgm$S|P&0+5-Dzn;K_}EPXPb;6eWmN8!
z@TlCbu3q^&H?2Z*=->SXU%YJo)sNYH?_6Lz`un(TVOE0ePPk)xJ*makQe?n(;G;0d
z`jF%Cf1JUqZZYG<M=#_}b#UgXTI}H+J$8mCk{ZH8_lvw2)6#j;{kM6Wzg6<I7C+&g
zQ10O+hyCJRdM`xk&Pfq{b2Vb4WJo5KTM^Ok%g8;wjpVTMVY2GjdGc{jB-wE~nar%q
zCVac^k=|qV<dR%BnYm$*NSO=4978GSP*(#dB|{iewSxUd%iy5x1{mWVfM24%u)QJ#
zG?QXs_`nq~9?Sx6Ru8*VOTn<G0-g&#0I7pj&>w*C7VpEsiUMeK$biXdQJ`?h8%}=b
zI4}khaIz?eXg(DozU`aXV|zE!-D`^I_HCc2|Hnx<f2Jb3p3}s`!n)|ju~Fo9&&0ZB
zee^%7hx03SaC~3}n%GRoMoz0dn5=<JgF41={c+cPbu9GYa`b+x<4CCnE-BW;%1$jj
zpfdyI{IqdVpALrE>*0A$x6jAv)MwQjaJ_^fD$h1T?^8x-;%$WAWjWoy6XyvsGeGlP
zeOyMlZ1=<3__j(5=Txd=-)=4&qDc|EMrASl?^Jx$JsG!f`%Wt^r?l_IIPHJ=hpsgq
zpl)A2&=m$f)O@&|KHJtxuO4fr@2wiBG^c<2*<HgaQ>rL9KcLZx$koV5C#yc7iYu$=
zW%(M~bnqdaaC}Uo?>189<fnAgAFk);wuT}@uW4-bd&(c$Pqn*#&|~L@>2Hq-`pc2y
zCQK4VkC)<TabFVUa%507O#uThs$j}lb*%hvIx<sqIe)@Tboyb0)<Ux|pk@wE(VL5@
zDi-J#V~MKg=Hu`7`FQu@eDt}=X&j_2@bhDHjCwg6-||ebOxyrJFVexOBAO_@Q3V6H
z$>G;IlGyxS6x%NGV=4QG@(Mpwwb`%fzOBz`BiAo0Iw5uBl~ED1Li*f1mzvmLr*pPs
z&<LMYy5-VUDw=$ScKKbQ?KW4bJWZi9|E1CMpE7CG$s4piE0@adETG~AcWA=7avIR`
zfI6i-qU!IOsq>YWH2mQkI(zdcYPW^UORoJ(ch(4C!81`jAvOi=+-1=Dxgv(F=e!4>
zr{n%(`Y8U}7~R*JVXdzv9_1KkMciI_Om-0-ytWjV#;m|=bQP{qT#aviR^#hl2Nd8~
zbivz~qnp=aRN2NLm-EVHK+MHX6=T%dppAoK)9{zGG`f0=qWDbCSMlTnm6_X04`)?T
zscl8nFe#Ik9EzvnKSSwO13wzB;Y}m-chSIw8>uPJnd-iFr0~gs+Rj)_pZ&Ln>aTL9
zb=@22tT$Wf-&y-;Yl%0tbUjN00s^Sin^4+$H->skCQ{L!G&*fgHeD!GMBCPv(}el8
z)GM=@Dx`GK6eCX4<M5N-7vw|LY!Pg~JO$4;$l+a{D%O3Tfs3mQG2y-$o_=7B2@mX0
zEqyueWY%&sz4iE$t8YULcVV>kezY<1z`Q0;H2LI(6Dz&&;&Ttw-n<{DckjTHYd7M@
z=W9?SoMSWIx5Vk(EO2>~GM+yrhMkKCsqDrUy6}4u9ZZg=dx}p{weKrw1kvT#bwbpJ
z*TR1JFN@8r^k?H6UD!q!OLl&@4tsLG2J7rKolUPdW~(cBtRDY5_FJGQ`{!OT+Ypn$
zt_jOw8%|ZSE%q(!aAzNz&l_W{ti`CxBQEc%Rg(rDGN$!6tf<+=B{Xi?I(quePAcqi
zjJ9#TXZ+7_dQ0#!{aKez6V~L>f1FR%>-$5>KckI~{r8?mUHVNWj|*Z+i3GL=Dqupt
zCjNb6h^?C~@bLya{D%&he#{N`y6nN%=0|bY?sGWo5rpSO!|~HlG)@=2gayAYqyCvh
z9N3tMPU|mor(PU-{Rzj--T|1Mdjww<xZ(UFg8UiN@khKM3hsGC#}y;!7JU;cKPjFK
zeyL&mcS#0sUFu|V>bWH;y0V_sCVG-(ymQ2KD1c*R1(QS9f{9ma5OKBPGM8-p$@S@6
zGOoTa>E-mq!agU-GNltF;q!5_d+JHzn{b+FE%zn&M9&k~z(8XE_yWmmizH)t7m4V)
zWMcI!gQV-{k}qy0WYtlYxSx7VK6ti~6WiVrwY5Kp`wTvKtT_o((xssNnlf1G&j6?C
z#&9si0!CIc5VL+I^v1Y=XUjH-=;v6lStsDrYc8MZNFb!`ya12Shl6xNB!FiWBy~kX
z&Fye-stbWo1%KFWeF93p?*y|VN2pY^f;+D?;YuU7yGngUN_Ji+M&%wvX2mozRXCML
z_nx#JEmdGYze#1K#(LSR-(qy0!Zd0%U6-C(X+(ANP3Re7LK~Y6shgBO)s2`z!^+jE
z%Wq|xe@31*gh*4)%}qa+Po}G7#c9WCF?z&Dj0&cU(<oMg+O|)nV!vhS4q0VdI$wj{
zKcGt+@0d_sbxS(sHpe+Rx{9U*Y@ixn_s}1Bf*ubKpf@K)(nVVms9XluzrD$)4`x=<
zzYz`elvXDl{_%y*mYSfF_F}lNL>4nT)p5>!0}Nkjfvp!7B5YfO%elE#<ncpz(%lCS
zBnP5hTR6_jiNnOML_DgKipOVXV#&=cls3PPc=8(7nWy0o(?p!PA&SeVIghnDd$6H#
zG45V61FH@G(gdG;8v14p9ZO4NeSeGa_`3y&rpg*}Un!WZbWb5)hi;Qr(ffpV7fFp$
z4QW%TB@!oVi0Jz&()$w0(=wI_J+C0PTgu7Xp!;O+?)$`u+r#EvtsuL^Dbd?hMRb!N
zlE>8z#Qa4INqzc?#1{0BFJ7NHrsFSiJaU};{w4(WW8%=TR~lBBE5YN{8Zh&YF5F#b
z0%bb$;Jt(`eE)3^YBek2z3YEa6X6Dn=5K>l27930<RF+zd&1>JZz#Wb1pJ?JHG;M$
z9Q8N=Ox8~5<obly18X3D$s#x)Zwa0``k;7F3EUrv!ZGJ>1V$Q3^Ss;SNp=i5eep1{
zerQKL=cy9r>2F^08kRR~8pmsTxs%8D|6l62^sFU=KUgo*a9zNb<}UCH_`AR_$Jj>k
z`7Rr=#ql=mt_L>r^@ePoeVS$)m0@Rl<h-|S@cPTPPM#IE(@pwqD;`Pn+9J$(H}-Aj
z%}~F<%TCYcEzfM>NqyiaI?|fto}fJuHS{E(FUJuNfjeZ<o^GP-D+=a8+HmvhBG|U{
z5Udl41li)7U>@@jMyx)<0dHaEpqV0*5~R;Gcvv!LJM5Wlj~p1ubN?~wcb%DIH`X$V
zA}g62?RHG)()rBz789oP*9^uhMukZVkYNsfn9S(k7GZLz0Mqq#0>u9t1Eam8Q1pHT
zo(GJAsN@*vE*gi%(|pYCzx>RFAVFrwWMO8+Q-nE|E6UuuF^So=L5!jI#hAs_V$5Gp
zF-HE;Bqr;zC?o45!kp?CVpLTHnLEn-j6&x>c)f50#(jRlvxEUCOaBaGneSov<{Pjp
z>wr%$+u+8O7MQc45!|cm;L!4FP#a{Sv+O>6$|!|h1x4WX_BNPX=fan=8^G^=4aDc9
z!z+^%2yjh?BgF}@mx+gPk&AFlC>DT3Lu6$nT=9>96_>-okS`q0RfWNt&tb6POgKmc
zM!;doD3H;LfwH<dm??D`^7)hDYE~*li)6tS-CS5Usfc3|-UEU02hcEF4;y`3VV2ix
zSdsM!F1`N=W551^!y`dvY{4Yvr<nwEIdUo!K2L@zQjlXV>B=)AJLQ@BE;;7NRaqvm
zQkt=JnaWrPNiaD(#TcKdB8+#u0HdQd4k|K3AgcHs`fWeK<=9?mQt1TdMJxC|dIIU+
zA3@i$YWUPz2`eMZAk4cM7M;Hhi^{SgOfCyn#HPVFvnw#^_hoQxjf0wJQLt(t3}p2}
zVCl&Ku;v&ep>Iw@-i)Krb@>p?<L!ZA`E3xSx)JuRSqILgjxcli3K*TT7^d+tpflYD
z1ddq3*oYZCF64CZX@;=(ksc%(Yr~}$O(?5SgTUV^(0xt`Z1yXFAeDoM7i6KhQwByj
zPsoCuvY_=u4xUX{gt!0|Sg54|&vbMk;*k+(ES(2hAGkcveg{xa*#ZVDz2RkY032$H
zfy#z7xOce_=Bd^|)$~^&v-TSp$O|y#|0I|>ClwiIc`ZiCWhV2r&6F`F=FH~Z^O!}B
z^BDh`=1kJUS&YLJLuTN&Hlw{)o%vj?$iyv|W*m(tGt~jYjG;Rp6Mt?99@z}Q)wdtO
z$E^oWM|XhMfi`gKd<vaSjWEsPF&K(Jgd@Ca*xig^e3yldKPv#wmV=_(edrCk2Uddj
zAib#!dOw#zkIOwct9&2!8JEL&Tm?*C&BC3H2vA-HUAt@H)aFN!p4b43Wt*XZK7)Oi
zU%=vs4)Bb74L6hCf=}!RDBs%;y;BD`?)M;6o&62^hQlzta}-+i$AGuzAN0={hkNVB
zAy;G^uFm}jef@u-YtAUFlOKj@DZgP`=OFBTH2~7-Umy-X!G;I#q0_h*V#2y%;(a^Z
zCodp4{TUpTYKG?#4RBTK5!g4>z+m(Ph&{r>&lBZPn^p$w0GHXfvlz6+3c<OZV>oo(
z0%!SL7z@Y-QL~%it9b*8*Ib9$O<C|DJ_~jhXMx?!>k#?(I+r1T6NVeIp|CX<a#!63
zDeFS+JuQL5-es_cRzURW2jG?d5JdGGp?;zTjw!u@k8ZDFN%4E|6!-!+^amkKWEk8}
z{R3*o&kQ;XGOtvGnc5>F%yM^8Ca_(UG42&*)}9t+#<{a9I8c}w5a-U7r2@>{m3)ly
zqA}QzGX(10gU~$i73>E-LhZ-5u(+=qatB_4^5j<F*)&6LNIgvcSqocFJpi6|CG>tP
zgUy{KQ1Z0^-p<H_(X-j0FL)gu=4HSR|5RuWxWeUzCBi+q%Uu4&MUMLy3#+`MVRdmN
z=vhX9flxTCR}X_j;i1s&5(;mEL*cM)7%a992li<Ml>UkWS5CW7FA)!{ViNSdN`bi>
zu7N;W4h-cMLhq@2uurH8>gP5<#-CQ0ru_!|qCdlpNxwm3`2;MwAjAkx6=Mvfr!boi
zOEG=&vP{JnIY!{CJQJv>z_=fkXHurgF+@X#d6hhsu_%yWmK+yj&QBI$dVK|$mgoP#
zCif4NCJ#Vd@kjVI)&pNpc0kgsRuEQy0?*+Q^dwY4(hTlg>AVXou?Xaw^T0_Y8wR<v
zRjMZyg#D6Xo!w=)J0lMMX+^;_n=sJy4u;va{tz(d96a_o1rB-M;I4WQ-jwZvssMLT
zIlF;l9{mTe{y0FF*D@|^#vU$x<-zq&R!}^39&~J;4M*CIK+RVlSVwJ0TdfJleN^Fi
zml7QGkcSQ{8IXsma41*;b}5R(o8O|a*;oWNJQ9M~7lLqfw;)`K6a>@lLQujl0$#zB
zz?9RJHGPwUUL!?NlF@)ouk|6J(;Twa*}=ASCvcv+2kejfg0yV}82!EiZmGB7m|+!Y
zy1#_az2Bf-T9A2OD9Idrqs-VUX*1ESM$B-k86%@*$+YNOF)r+U=83umW0pOKVLOeO
zjTX90+$;^IVWtvOvR9g^)tbzR>=tIs7x6J4IN|Yn?*Vw|{Sn4pd*P&57yR4%64vf{
z4rd3OA!Vo$QufzF$Kpp&dF~<XlB<Qaf2%>ptQv&Msz58W3h;Ur9GX%MmG`PaJ+B7t
zzORL4o9jSO=`rk*Xn<LkO)&3LGi=d(2Juf?p*HCy^qlH|e>=M2kV6mrGkOP#Kl?!A
z(kHkh{sp8KeFJ;j?~wNS2Yj&m2_XxALDR=y@W$jfG${Or-RZx;sP!j|77aqz!XHo-
zF#uKxUqOF=KU|#p3A{r4;Mj+^FlNBrLvG!0_k0Jey!H~*AGU(tw-y*tZ-(lPjj${4
zF`SXBgMG0zu+O9ll0Q-quc?H)wdIig{T_U>=bm4WN}<f>4rK2xf!qtlFzsUzZ1FFG
zPg{#XJ*Ws)|0;r<Tg9Msrv$X6N};{tF6X|!2mh2R;8ZOOn;t%Zqa5GibMYe(ywnJy
zMNdJKzYW%UwZo;+ZulGU7K8;qg8Zg0Fz)vqZg2brKiY@D;L|85pZEtSd?tV#=VO%K
z^D!2}{LGJ6e9YRNd`$Jm3Ap0<4;Co>g<EdJuwm722>km4o*(`Oe3hTMyqrEz6@CjB
zWM9Ke^$vJ$`~p@ldIoUd34F||hwpzLLiCnu$nB%>A+&;H>EDAan^F*QD29z81z<Oj
z2Pe<x!mlOS(97I_QtvF7+nWgoA~WEzZ#qccPlNyL(m+Zh4gRg=_F*5>AgCuDPAtlV
z3DqokzV`-9o0|h-zIoucst~TH-2unr_c_hs|1n3o`{QK;40$|*oHgy7N2&)%@JGn!
zKKsR||G-)Pe=y09p9wP+V*HPbFypHxG5I&dn8>r@j7*C-qn07gB#ekL4_;4VmTeVf
zwnYjv&yEN(I@<h<(CUA1dfG7P(m{}4{S_v+f8f~Py`Vj*3q;Ca0CS-QmL6?{!+v$Z
z<X1rn9}7FZ??Kt*J1|mP00*;f!GY|Xu=Ck9_@b2#^wL#$IVTBr4#mUU_i-S@7XwmD
zBEgM@LGQi`FnLul)b9<10`80%-FY6;xjgJ+;paeq`Z-vybPn=PaOciyKUjD3JbZ}^
zfN#>l;A|5LYcwOFt}Yf*?Gm6fDFr-VWx?l(JSdmA3o*YDyt5i$I^Rop+V&Pwe++=q
z<S_{PB*=)I5M%U%BpJR>GK|m(1!kR!GPD1_3KO?(8lyg>!c59jW=<z4G9jIE%&lZ;
z=Jxm$?z)IGT{A@(6+Hn)Wy2W6#Qp-wN!+#Jp1-v<-B2a_5@fQU!s38>E}NkSJVsbZ
z4!H-{R+hjE$cN8cb71^d7F^a$hf8;_fSz{(R61S+vDMM=`9L@v$_{}hp+Imy?Z?$m
zKH%zi4314Z4C}t^g^^#|A!qJpkiP8-rdyrh<Z1`#JGBf(`|RO!96(`+4Ol#$4+pt?
zh|tAmU>-LM=n4}!bH)h9%njk7zX1sOavEnIr%mlLf=#DP!F+)kyx^dBUs`N|nY<YG
z8ahJ5p^Y%1upjg{pMfbD4F5P@x4eHESS`tijTb5OFKmI6vhSfdc^JMJi7+!-rZUCd
zO3c!4nv8s!9@CL!#GHO)%H;o=#q?XwVvf}rGusDdGFFpx7zGavCi%27!yJ)imPSos
zng&Ig!9oFMtmH2od^HGZb)O;W$Xhu2q!ZZcHtu&l1wCkhvfPIteWnUZZ?d3jR1Ui)
z?t-o69f%7ng41>dAYgwRBw}uXwNWlSm(PJ*$83;%dlPOp-UM&?Y`9pN4OWdg;AMXc
z_zZ7@+_?gnx~v#Xf=Xew<$d_Go(1{-DmdCx2Y<|(K%w;+G!(sp<M&^K#Pj#y-P;d#
zkA6Vvo+0qc9D|-)e2nBh0Y+e-5Oc9qn8{5LVNOemGM5xYnc@-=X3d~5qunaR9NI0&
zxR>%XJ&6;Lx$iGb`|}5Ot{jBTeqZ5O#z&|se+zmqyCM4DE3h-;Y5|{S=;*13o$g$p
z$Mqg=<&_|kbPsHk@4!4P1og?cVcw}6=#aSqanCYAolS!yFRpUh>SP#+Pk{UO@epQs
z5f-nEg%!7>A;dWf0=dtaXDC;<=tclfGXj2}<6fO2Aulxw)*g<5*ycERR~HY5wkJV+
zZVI^F%!K$Y*&x-L4@ZRW!t8z);6xqBCq0EsvkrKt`kv!g4uFx`2qbRiXSDi+8C`yH
z=0fxoX7On$#y3}n(UO;Ao)*Y4Q-b7}-D$GS6ge5D=Fe27aoZH8`iMC5-CmR#`z**<
zaOZLS=m=bw_z4><zrdG}_n<8H8fM>n34gD)z=_fZ2o`t<Ykd%I>6gROi966cQ2=Z8
zZ$akK8zAv11Ad)JfuCkcz-eG$>v#-QNpWl-5(<|>gCKqIJlyd11?TA}AtcfZ>}MSS
zS)pB!Bkm5Pb{jxH|364`SPg13mP4-LBB<L7;NH6ce#cotR)9IU-kk-lvyI`~&`h{3
ztp}I5p1g6}bU0S134DGU;PX};6#CWSa6Xr~=AZ?^A7+5>RXs?$Y6L<`W^kKWgOZay
z_{2EE9^Mu(N;wP>BYq%rF9N7eG88Y&fdPqf&~a;m;2%AZv-=MmO%i6J+om!JXO$VN
znbR4&Ju?}}_a@B!jdPgLGBc({)Qqw7nZ-zX7%@tq$1HTwV#Z{rF{d8LG2T}tnbl7w
zF^~5NG7J8WL816B*zmU>^vmCY>-=uu+x!yFsyu^r8=Byl>|?OEsD<Md51{8N3%YIP
z;J^7E#8}=1i7j{FT5B<MCKN&YtwLBOTgYY67r=^+0(i(2!Uo|Y@YN}X?bk}6Jg^i(
zAD6*<k8;RA&VuV}uE$8N1<5;)VS(Zk&?<Wd<`FMpYhV``M)pEK*Z-{Y`2zj(et<;Q
zZ-_1)f!-DW;D<3E^KmynbJ9_OnfgwE@z4-tN`(X&J+4>o?%-#<x#zW}=>+^-Fb3Pd
z4uiSlZ*V#O10oN91)XJ|xV*;qP+rT`(q}qh*Zh}oobNf@d+`L;Rn<d7?L&}!Uj_M^
z6!=b;gVxAhn4VYyQtpM^*?Sun@5zN(w{OBG?dx!>J`?P2q(f3gDuho>0q689ka98^
z&R<D_7^x(9@+uMXCK6#%ND_!~>;$>DS0L#@3VfQL4(;OCz}NQ%6b9!)ux<gAufGEm
z)60RJcmO}vJc2E$&0w^GySJ_0z`5lgVc7XQsLUCLjJyfRTP4WY@8)_RuJ&I$XENhe
zEx{;MPGPpFNir&Z+_Oh(3KP*Wnc1i#&a9T2#H8g3GecbcnzW3M>1Z5<g?+!keefH6
z=Kll@ns2%Ou?rsLzJTr-EpU`=fCk@(uzvRgkUd%f$v5wUmq0OBQ{0A^S~=kHAq&nn
zr^AcRtKcn>1iqW&;lH+62sj)C?X$zdUFiZG(hY*_js74<&w)v*59n!~gtuZxVcS+u
z5H>#qd0cMb#G$?aqv*Wjfo#7pZj(JzBBP<Av`f=<S{m9r^|trW-ZDanY{}j`dynjq
zl@*d1qR1#h#_#_9)gQfm>U})VeV=n(-*X+93|>b6g3H)7>oQdTTt;r(RV+5Xfpt%A
z<5bE69KP}#TdRy9SZ0P9307F)&gKl?xS`jH<p(B2;AvMfGUfBZyQB(2LoN6)zYj`}
zCSb9FkF?u_$!$QA>=sX>p=<J_t*=NWdzGoXQJD^|RHoW{igY_io>UJ{r#4*~>JyNl
z*q6f8%I=x&8{9M?K7lT`K@`63fn9q$LIN7mT2zB6d&(g+zX<XBbFm`#1CBmPM(p)C
zggQs!^50N=dKC!0?Y_9R$`eoaxgy!g8AW^!h-MyT<0UK1K5l{B$7Z-w@DfL~jj(n2
z1?!ogVvXD*IJVz|=-NA2qN<0di8o<Ac>~A9ZbEzfCUjf$u>SL1%o};gYOCkSnr(#O
zlco^4ZHc&Bwg|fX7A2Rwu=HLqxU6HaI4m84$sf_^Py=bfb}arp0GIt7bWM<-jCDn5
zi-Z(?_$^B(KhL0(&NE48wi4AoRU)HsMbfQNpcyJN=v1mK^;JtzuB#Z$Ss_F-viL~+
z1Q!{ojNxI^Z_vn3B;RX;<-P_;y#9<VR^zYY{)m>PId~SBj(sPRaCmzxR^Eufp6n3#
zYX`91F5c*`afdexb!`)Ig31LuD7IPSuZ1O)j=#c{{U(^aXM`Tp7w~`a1as={!@%V>
zxC(CI(2c8zw7&$tZ5Ob?@f@yNpT*?nvk)&mi>EjbiR6p$JH+ZA_Kul7y^rDD&!KwF
z7(3<7VOsJA+uk^1_DwGo>V?3_F%FN)GEvQ4208u)%yRvSb2mq!Z_Psr?}X@_yd)*m
z$kG>kdD5H3p3P+yx^Zk4-J4LM=XaIKsC6dU>dzoCeOY?N`tE|eqGa-63cZ}lOFdQ`
z^x@(#%H;bnv8fX+_01S*Vl~3{N?41RVDrL!h`r5(!j4otVfFva8`1by6^@6ugRx!9
z9}hNqBcA!+dp^2A_>dEph}z@%&>PGZvqIA`3pCW4q1oDm?Ful)Shykb6%DW<_BoRB
zp2EiD3666<LG`XD;C%iRYQfKO`@R7>-Wwr|)xwfY^K*J>g>4CT=q-MWiBFzTD+)wu
zS|lcYlkw_SE}HntacolqhI_j(uW$%G>6|pLj-SpNiBPM#B-Lk4rIP}3RHh|Qmrg5?
z(p3fedsCj?TFOy#n=F0vm8Pi!;xv0mm=enc=%^QarVp8L_;DCcoqdQr*o7#mR;-^}
z4^E3Jd|OkBwq*tQa4QSDx>Awhnt+c+(eQc~j>)DV%-ZXR<W5i22D;*>r8A=J?V-+e
zTTj8)Fnjb0Z~0A-mS6}C$>$IpegLT4hJ)QT{I~NW!uFiOPG4R0?Kp}<yAI;)`@J~+
zSO?+>JD_}58>>>bVvpw*2ru0NZu2c{&S@(`erRL*(p`v5*o#u%!+5W93g6CM!YP+K
zXc&BfE!Acy?`QjI&blH&BM_CxnBMw{o!hr6SZ+rvbmsrTTc(#!Y!spsTcwECSdIjP
zlxXptIaC-qk1BUApuw#R$Ub8pN%zd5OJXXdr>8)YN2ZY+mlXN?iBQ*h0jkmErjM(}
z5w`yirigT-{7f6pZEL_l)MuzWegd_B#4G1qr21q)Wikbi0us<-AA_vy2>2`ugHUS_
zZkGB(bi@b!XT4A%;(-}su4r2P4)qalapyUEmL5*nIo%0we>=i*xf24vIiXYFExf{9
zpk3pN4YnS*)#{D*a(`^N5CU$di?kcXp-nIqR~BdEc*jTf=POxObv<sFv|+=&9xT~4
zgr#*8P`krTduQ;|^xcB=<u`j5Mn$RrusFGMOHc!s1f4l4PUn@yX#E)x%3C5tY0N7)
zS<g$`8o0>x#UwISMv$2@fJEJH$VqkJSZ5Q$TkBBFTLt?ArLZn8z*W6$Y}=5I;pItK
zav&By&Jhsd48>mS05+TFgID4nY)9`qC{1%>vxIiI=xq&+sg{@(Y6g?jFHyA85F1ZE
zLxt@F1c=;5c;z)%e!qxlowG0$V%(hSafk&UhPBH9yyf19wBNfC@<<1IzPs?rY!^({
z>A<FbH|`nj!`1zVa6|7nlzGqK#=0v=+I$zmIxirbZHiXmH#o*JyIrpNBJ&N?mPS&s
z=uHtG&Z-B;ou3$17{lpfeAIA2l)lBt(8@*f^yRrS-M==6sw!0pVe`n2dmcqj&LPfP
z72+wKNzQZR=;%xt`u9tWzGVqgWD+lJ>f|7~xMA#7>qFGCPFNH)!=t$la<?ndbCc;x
zW%<ZA&%$=cG@Sj(bQ9B9WSxyf#IrDLt_Z@mv;Nqr?gQ_|p4g@5hM{g3^anX(8Phk9
z{j^8eV>`?}VvC37Hkcx711^3WXq~aa-bJ=J`p^y|TO6R^$DXyT3%0Cuhr=^(G~N%u
z0@W~_v5Us$xFj54vCHA(h2Y_+M8WN^NLKFvA6Fk{r;MP`ijz|MdC9zM3SB%RLea|N
z)V5rbgiWL<KvbH%K1-1U>%;dQm!Llz#i%w$n0(8okZ&j-`JCjYi+z)5lpcY&)&Q0n
z|HPUfZ76%z2%U|!a9>t|fn&uu8I=dD&V*lg3a%E%<7ssizVL=4`a}?pSNr1VZBLw9
z<ch6A&XDA{$2X=Mj2y8<6nke3XS~EnfB}qMpRn1odnm1CdFut25ZH4DZrgRy{`D{-
zg7(4jJv%@8wjuoXCbTc#h-Vwt!oYqNq}MEmyXF%7d$$O=m(^h#u>jlj=i^DoJQR=3
zgKph?tbD76tYeFyv1uvt^;coWx(yhN*ot<kec0-M5-)tOV}p)9R^K$oJ}pPohWcP{
zbQE4v7Mhn<L1x`|s1A-|<`sVWA|*lBrpwV5X%!0en@4R=7gE>7#pHEp2`xLhn6AYx
zr0$UU^w@ni4Ry^VoAzmR>9Zsa^a<0Qqx^J8nf0#0qd3;y5BFbPXo_n^`24Rd@8L5R
zm4AXkdlBnJ@}a#q8&e!Uz=C-l)2AiDaBn=St75R(FADwX5zOCtkGEgK@VY4!Myo=R
z+8%<>Js}7@5Q@1o*t@44j*Q0l7-)%v)xj7XUmcHcR!NXMn1)faOeoLJ!+oV9l-&M=
zm?@v3^|>DNvsy3~`yDR!J#13+H+VdU!D};)#(x}ivyu5`7kFsKD_*)q%ty21qoBvk
zlN{rvB4u8BF~Ch(kGSam2M${9JC2yUBiP0>h~|rZSR48iMU5RO6>i1D4XhV=T8q4b
zN;IjJK`7`WWVG_IVki@<i__qrorH#lI4qKn#?Ke;@l-Gr7t#Xp-#b4X_VvcIFCN%S
zZU|{`K~97-wx>Emm)`+Fj&`_m-4^$4ZJ;e=1KyT5cqV6qSs6CqueU|~J$uMFJ7VrG
zrmeGn;;(}zS~UIe)-D*YeIj6SB_3g|X;{ylhrpy#n0D8I?+L4cSN+7Y-+$N+iU|~@
za+Aw9emeX{hz$Ki>4UHYStUx+1urR@mn%g{8dB8ID?zX1#Hl@Bgbqjuk(ZbN1=jJ<
zd1Fo*T{DK0R|hd3^a~q!J5lng1+JR)$daqZ{)J`uqgRNVZQ0;7O=q)ENw~W+7Td2y
z;Am6`x@QEyFxVSuN8NFIo(r60nbt7J78!e)C*op`*Apgae_;fbHTnn*eTW4IZ^L`p
zH5}P-0gZ3}!%U^)INNd%mmBxs&h(v3Puj|I#EI=(-+(RgEbIR4Dnwjej*8kP$V$+F
zuk<2}O{hcMTpgPW)bXl%A+k#}u(4t(rc7CdW$x=(9kU6?*}47O_y~@;pNG!Ed#GDw
z451P$eE;EsS#E)7`5KRlj`@gmsDqnjH@@+3P-Z&Q|Kz3Ue(DU;Uq6e&w#=tb)(a`1
zSA#OnET#=y8q_bWPD1RQc8*XXoiTZ;5n%qJj06?$6C&rYymTp_gYL2Z&A_)8Gi$%&
zNoF%LcYlGxttxa$mf?W<M|ef#Lc=~2C(F`s<Ww@+)+S)tg;+$?M&XlV1jgLLaiupD
z+;2iy-Z9%9mBBpjV?k)z8H7XbL8#gnjM^I^$QlfVPfs}h9gSq`mSf;xACE2PS#1}R
zj=yKJp=(?KZJttOeXfK^R~=mEG-K`E4!n%(hE>S`dfyF0V0;{_uX566BW`-OhL@h1
z^U(r!o(z8Gr-n*?T5+DAmcHR5ol{JM_{vSK%!fTZm4mic{=?-Je-VFi0EZv-pyp90
zw%+@OGxr+V9_KpbdR8Hzx(s7;n095Khi1hr{9)fwvuhHPtm4?&7KK%f;TYNwg8sY!
zm_PKzq5WP^JLV2`>vt&m?TpsfjtJGYN8?5IokYCB#9C`8N?2jhiq{x=Z;440OE_j(
zBKO8?9JIAU;Ho$9x@L>hs~s@H?y`}5S5$j=L1P8ef8T^*W@HRnY*WCg#{85kB?wwp
zgA%5X-zobE!*xS=xRQe;M0qLIa0+d{B|_r~;xuEE6va+TlX!;=DGbZdcP$xOTq#9o
z^Cf7hrWk2&5vKM0Q%L+RFRc>cqSJk2kSJk(Y|bxmwS9;6@)l$yf5C%CRj|2H3g5Q{
zF!-CrSp76;ZcRk);uw6`{2r|@f}z;#2k&!U$QN*fQmHe}Mcd;#^B9*`TB20s70#b~
ziKUeW5KMZ4TjO_e?#>OAPrZbcuG3im<2YW+9>TER9`p`w2WP-$v>I%Lp6MDS$FBgt
z<PtQ!RfqJhd8kyMjmULMNO>*~hk<D@_h9?GO(ZcrTnrs@BCz``h`C(?FgeMObS*yI
z^x?%4M_wpu@ZpFBKi=g|K_`z0l<!EuZM`g<JZ3_#QWg5j%dn|R3oMunHo@ny?fO$(
zX|sUOunP>vLa_K-8jc!PV4g`QMs7`_V7m|{T1=%C<4TmIuz)t*UP48VD{1dOO$u<;
zBo41tq#L)4689`3o?oi8XNoeJvwlQ#jTF7B6efe;d^9_dlk6LrUTEHr<kdf5RsIc`
zOxMagT8A&ws`1~Ya#SrZh10zvSjrc&emWo1%yQAZAqTG7O#kuD!ZPhFM6Aie;6qm1
zGmX`tl+~K;Ij}_@=C$NwX=WiL8;h`$>A;s#KB41QC6;af4F3&vu-y6;TMjqj`q@_S
z{nw77jh(nR`~%|8dvH3d7faLo5q0S|>oJ(e7Bq-~RYNSBbO>SULwN5vh<@g`sU81~
zm0A7x(AtZM>>k{>`4g5uIuWeZfviX0aOzz%jKdlb8uta+DK%J{Q-zkwa_s6Yg{53E
zE*>ky*@!%RQp`bpcqSZmKY&{!4YTK^U~)$i{NE)&Q!XBZ#j#L}kHMC@Xk=?fLz8KD
zlo^G`y-~P)B^q~@#vn~67Gmjf2sUB;YCsY@pP5$mI~|1zS-9qw3$d$(aCuRJO!oKp
zAODO^{PnOYXhO*AHbiagf@5(H5)}pzt}uiti6hwXg=us5CRv^e2Ti@rNxQ2!>1hWi
zy$I$cQDsg#$Fz!1W)lb;`G>btMldU%d5~befaxz*Q~W@$e+M+3S^@n=e7W!iAqPG~
zN2dZWj+BBPd<1WJ9`e}FOylMU#EhrFFCr1zrg3aXMKsz%B9J&921(}US1$>|-01<h
zzuFI`_CC13$QvI-ys&AdC$@!q;Lalt6uNuBdzL3G#l5ilnl}!t@x}I+{>--vf|n=L
zWgkaCvN;BA<%u}ID;+Z1b8sf@BLv@-BkN-=%av_LN9uP>Ti1)tuZIw7JdR$*O8si$
zq4_8HspsSry7yI(T+4)L%?e?fAudd>FA0&`RzXru5g?x`ruF&q5a%i`+Od9;u`?rZ
zUGoS3?3ge8y%S5ee8chB28^t&MOJeKzWSG7t5pFOyv>GUemc&`C1cPw4#f+jP}Rfw
zLRROSfAPa>es4Tw=V~w8AD?v73E!95qeR&T!fUMHq0e-Nels{YnLtp_7}7?D*y-~E
zg*ngg?BNp(=08G6?nB5k-)T(z5w^T~jBOmx7@PD0cQuT#ON-4)2%96;hwVd@vd6?V
z7eps`!DF0h@f)M@^nNPzZSwK{ZYA3OG+|DCH(c5G%6o{Lgl<itl|o{)cUX!<1*egy
z!VKCfr$8%56zFA!0u{cLr}7JORAs@KpPACMYlk?=vFBz#$xlK#+~lA>iM0ZM@mjqX
z!oJ_J|5h_<ZR+rVrxHfF#qcZ5!+E((y!1`MiVN{rav};DhGB@W4#cH{zHtBN0rSFl
zNJw=851U<e5PgHPYnC|v(+pFsUP5`FAtG))Lxk}Ih&Ss&%j_D?J-dj@*=I2S%t=_B
zI0oOOL+CNykNY`$AY-P3gu0z@Dc*s1cXq(EWe3hPeIdngH;Q}rA<B!*W~J(4-p%u{
zYP*4?J&(b|o_X3COQ_g7V77=SBEN=U_rC-jJ(P#pIn{6y>_BV95L9cp>8}tw^U|cq
z*+Y&vE-De%=h^f+Ta{kTm`~H&=g|@^RZ2WPn+}^Pk>1D*Y8shJFR~?w&s3O%FYr?$
ztAl@d{KM?#0puk7z*6OJu#x)8>ZEFXzgULrQH3x&mII5!AE54?4C7_-=og3v*Ub0W
z&$P6g69Gue_r;B3FPvi<!}8azn7PvhJUY&}>*xrdc@B6WWDnC#c9>aXi}fY8uw7_}
zs~q+S*zEu-Whb~By~XCIu6QBsiT@7!;_9{_H2e%l>E>80-jjkHu55_yE5iBNRZ#t}
z0Z-~Xpm(hg!*wIjdB91$F}#%alD#)&!nFH|7!}@SK5QiOYZpmTPM;(x@k-M4=i-!f
zQ<UZm2vLFJ6e<_xqp4L~^o45@WjltE>(meLzdt~a+n_hA5gDU3xWrk3pR0-y<(`MD
zOEPh>KLthg@ksd<h3m{)T5T2t&nbS`{oWHZ?zw{dxHA^~XOGWDZ*U{W68C4lg01IE
z7_T<O(XUS-Z+IVG|J{Poqbo=(X8X@ho`UqkW4N~dAbf52;MT&OI4ZLZExR`%s(B+m
zRIJ16MQd<oauuBRuSCnL6$s5-j=Q`ouuy&_f>c(cOLHxrn{7nUiY>TwcNb>gJA{dw
zYzLJ44Q$hV4*yg$JlkrAEjvAsSI&Ip@?>mYT!iC^U!gO-7uNk8l)6cfF0g(;{n!jj
zxS&EZOlz<nV7#38BD#8F5e4@$-i2=gIWWCy@vsv0KAu5tsWQYpCPs(P3(}Y*FO^N>
zpuZzSh<fo0$;pg`@MuDbTpj!QRzlRT1aBP+pu@b=Rc;@!+&cv&e-a>KAB%mDqo5S<
z9#f`=!Kfk_m6d^*oEd=lct33O@P%ES5B^>Ef$m8k^hWqV^Qtd8ZT%3c9>C^?g3$bl
z`L^G}vE*qKmb=7(Z+$Xuo%;ZOzFY*!6=Be>93v-cF?zCzW$Si;!?_2u%>Uq_`ad*>
zanKFMF`RB>JXtM2%{VrN{u~jc(~NoeRVYZhn+0iP#}umQ;-`#7eDru84@I|gQdQ>!
zs<KAVa_bM|xO<`Xx(hwBZTJz<h_@%|@Sjo@q`1m(nCamib68z*H3LHxDR4fO07+5C
zue7{JL|q7shXN43+7}I8o*2?_gUolP5#>8Vz0wXvtS_v%YXt#OON2JO!ix@5G^(4R
zFplZIrbZYKFvJoCL;UDBz@tUXYiVFv7E_FI>BCFL0GVOUggGRA*`J?cho|eEp}EVQ
z&06{40DI0pUt{sbARV^`3m~jmg*l&_pwjUZ&qRh{JIP7!qxngdX?EQX5;R{=h9b{T
zqYhm;O5QVr2s7v#<Y@l&X%yBXLoWG}bZV0r^*t1#He-IeV!%ye?3?OR{R?B0UdFt2
z;-Pp8=5G0d71@kOGAm)6V?OFDGSRU&6)SiW(AyaWzkgxauNeegPhS|TdE#sRJLJB1
zLcNb2`r@s@`@;fT*P4Ml#267P43M1i7{*LvyTE$``zJ2KLgNg4Tu#7x{b5AP@5A@i
zyWr=r4HHW@;gjq}eA%`Z?FFka;JqAI>zCl<3k~GDEJW36b!@+(hRPjkc-X0i$<qsQ
zsZs-5&n?3o&DDr8+JO8!TfvRJ;FzzA{L5EyWW!T%-Z4W!t{tR8J+V^tJ-QdB!_ch^
zN0+z4-D!}Wl{}=pQ<OTc$<m~!BDI>%rH>_QbY_hPjYPA)krvZBnMEXfZvibzm_wV_
zDv`nwInq8TO{UivYnH=Un}^)ATxlF1X8i&E{)sfhHWZ{cV5&<Egg7eT*H(;n%>oSn
zVXT@+2CSZ@LTzmlu4%_Z(mMu1o1>t$Bm$4GghT6BDDpEyP}LEP@YBKIVBBWOnPBYd
z4@NQ5W6U>&!BF%)R_%ynJW4d$72?sAkOZE*G+1xW0x{pB?m;o)r7Pe+RD)cBMtCf1
z!xLS`X<z6A&ypdOyE8V5F>YsXb1~h8hY})qNhO+(dYO-3d6l0kX7SUv2YhtxIxpFa
z@{q@6E?RHOLBs81aJ)OrSn1!WAO3}h5<k$R*p8G%&DgcI9-D7`Mo~~Xs>h0P`Fa7W
zMzZle-~(jur@-ez0zw|gU{`bmqQzN1=M=;|dw;aC%$7JsPgw19Lt~5!9&Tssw~QkS
zX4qr@X<IaXe}mKnYt&a;p+Vb<=~h<o-f4vm-B!5B{RZ<~ZNQywhsXzx_*C{529<6o
zu<*wBu>jm#6b@abSbQi=VIDvZW-l#)Tk2={gf-*8&p#l<JBSry6X0IYLmS-%DEm3n
zzca)rMMskIq@>AMP=<<@%FsF|X&T=mMYTsINU%$kcqN7D*)IWVablW*5*Nv8jzePU
z5SD56;_K~B#vQj{>zR7|om-8c%4N{lSBR15YzS;gM=wtjHul9JfF}YI8$)o&%b)SV
z-dI-XhEnUdczKt>KM!mm?(`bdDqg{9z6s-?4B@l)8RK#9<K~Q8a4EWs*s!zEO4mi_
z<YBzJy$_3}c41-rR!DXNIr8ga`f@b{m6yZ#j|NgX)v<#0j#{;|F*j5hM~h~{T}vMO
zrR5N@ZyMzIWWiFpP&joeR=Q2a$WK{>&z3{S6$M1MDTAM7z6q_@fQ;p8pm!5aMeM_v
z)LE>*a38|IP4K0|4%<Dwk*N@k|8#O7K2`(es%})PaZ+Wk5bfVPm2~SB>9PDgdJ?>d
zPApzV=Zsg-6|WUEJ!%<MaxbPI6AS32#2gCppGi_vr%_9g1o>DCkz*S#876WNhukne
zB=^D;ov3@;g4ZGS@H_Jv$3n|t`mh8kiG`ScJ`a+&voW(S19zR%krtGSX2BF>q$WW$
zJrRmxiO7m%d+z)aVE7{e2TT%CcRvZTY02<Ck%|ZV(vjqz0s9Tv=v$n}>ZU@t4i%$|
z^^N!AtMKZ}|9OiB^j>U1^ZRzFHg}=%dk==A`_axAOk(wk1=Dn6W{o56;{<+uo5W0}
zOGqx|poe8_E+cLNi)W5w{?vak4j#tK_Ca{o3}EtgFVrNvk$0yP=abs-w6_^&6&i4I
zM;+pyRiiGc9QXK2;dt>QiW>5;`BpaC6f$tCn=v#ENm%@w@g0j}*?dG4I@Kds{S$`o
zogwV!8H_OfKs=ru!0sA<jIHs5Xq+$7Uijj=moH-F{jg`$5C1j<;80&6{G~$R8y?0q
zTgDL_h(Xl31bFqOV0<V8VtRRav#*#1^Re?xybdinO=z|5K<=I%__hB=wE8Fxac~fM
za?#9hJhVHVkIv2&pkV1KWN12tbf2^SX+nS?DL|>&d}OJ}OY@d-(@bGbD!)07UxvfT
zzW5u)8o!|Xvy;tld;`z5Mu=$DL07E`vP;UKdGI5eoO1DUGy|&)Qjs~2X)ug4{n8cz
z_mNP>od;p6gC9I+c*DBL9S8m2AvlC(+cY@fiIyFdKEFYxw-u%aTH?|VbG*}g1+9%{
z2-Y=4f0+qHyiHJDYXW{lQ`WzlVN%B&r<mu>bCK~qJ+_cv<b+JdJcjdnW5xSGRB1#Y
z=T!opM`l3T=_7a)t6|1;I{imKajSj^f4MnH<tQJ;L5QSW#ONl|KB5Jt5`Uj88GmPC
z-2KyNrTjE{@_Z@<EtRGRx)O9iUX(^{1u49ak2Hk1DgVv{`r3w2WYCKZ2RfPl(1Q6)
zOOVm7LYiDDbQTog#N8}t52V7#H-Ys#(MWw0j;@>_<SDUzYTlmMve^~q1e`Ig+YSo9
ztg%PL62aPL(DF3KdT|59uXv1)&+g#zpKH){y#Ncn|Il;i7+ky$AmyJ9-Wq7bL1Pn^
z2y9@Sf+mDkEN2?71`hD4VPp7QnCh!Q<LOLz`^h1GY%0o4q%cV0Xj>%$x*~|oul(5S
z!i%GU+~AVnf>|pEtQT-#)!?L-<s}ZtTX4eS1vi#m<zq90g4mrWhCi-Tv0$+xj^xir
zRoF^|E!m3IAxEKc^(Ia<vD)em^RYO6vCbk6_j(Fp&V0w;LVxjy_38q`QdBQDlVmyO
zk@w2QB&4&FOolWmS#~Xz6ls#ze=F(q<|V{2zJQ(x%_iPfdAjpOhC-K#QKi%rnt07k
z=eCSv#QhKEiuAzdVF$#S7A#m+&*l$maN%nu`r<x8R-hEe@{3^lqY%1R3osA)xO<iD
ztZQW&abPYU#N|R?C=WXW^H6S@kB@-`aN_@nX}(2pWvp%d^D?Z7DaR~{Dp=cmM*93Z
zc5c?=nrS1VS27*{%Qw8a)Pd28PP~!)30wIdOz-@K6F2(M;NQ=5n*m&(`5VuU{bsq|
zzp;$z!lr@)STx!PEAL*^@%_Tr#ob7m`vcj%-?7fV9a_`A!QZ4AZ7mHDXZ+tM{aT#<
zSPcipk+t0Ygo|HFFv@zk<&6b+Y?KFn%E36(f3GNJKxb1rf~*-2!IQ%NUy=~~G!aXU
z6JU`UkFT2XIM^Ep+4eZBm>Cau_jvGLOhC=!M2OcXLB*2w5*BIrQ}+RPm{#}WbS~c6
z6+oT87>)^L`1`IB4goc&EUCvyu4Wuu-Ujdeow%^G8_$LNFyrNKT=yQr+Cw9-w)+Rw
zJ>yI#nt;f{Ni5niiP?=4Ncc65#V^ND5j2WjmxnQ@Y>;`21K5_=3(H&GFzW9_;^B5g
z1+}2Hw*kq^z98nwXWaZ)ffCg+NIDl`bVdOhl5&uHHxnjICo0>Tf-M&kVIC64JoFeG
zij9P`{(CHb8iohqA^0~f7|xl2xDpzGnlJvaJ?IY$1%LFf@rQD>Ki<4zy+d{&axMoW
z?^!6sdEP^rD+=2l$Fd$N5n+|7_!^aoX%l(a_r4g3u@%sttVP<RCb;r-AddMPHQxsy
zFfxo*w+V>XandXi9`bMCB?B#fnx-K@t^oqX$9(x8s|2X;BtNOo=A-|dcxX{37hQ?s
zpl=;xu$aSG_+`JLq4EpTj43<!^&2?T*=$XC9rj06;Yvvv*7FuY^90i_$}_R|avE}#
zlNf^;i@}LV=*$ks?pwk5*X$3&CqCG`-V^N$+@Q0?1qs$pNS)#U-6UI<^T4t@bF9EQ
z|1}0GEO3s^{Wgi2BQf$7L}Omzv!XdZb6CLTv?UJjutHYh8<hO8!{#I>rboFV*4zt9
z?g1Fr564c8IBW|_!@sY2Xi4~l`04dXs%?jTMjuq||FM5BH+A&zQ^!eRs$3#Y3wKJ<
z7dsh}`8SpH4P<HB0$Ezi&RaKjwwC8gkbko%`FRVG>Kp+YGv=Yl3J$8GQS2KYz?;vE
z3GQset!0gHO|HS$=j8~0S_H?aT)4|;z&|M&Z%yK0^E?u*9-)}`J%DkyKG@Xe4l_p=
z*j{vm_+eXApS41nr8#&%nZSM#W5;x!<Lk`_xSeqeURqZm^Xn`u@^z6{bQrE9d(pOM
zCtj6o!M)pB@M8HmLi1K4W%Uw#xTX&E3{}irF$>9sGqK>g9K3f=#gX-ru+kQV#VtX&
zNAY2%C^u>ZCbb$=hqabG>enhB{-Ko`)TX6w)~I#bzE&%vxI(LTX^Gb9+<dLgFSE2l
zZ>4GRyh_xPDvi;aqzJ9cogrEV839^zN`15hWIVO1U0k)Uoqek{?SZ3KSA(4vkH3wU
ze4Vw{9}6ojp0d|kYtmn9H9xS@3R8Ha#nEJ|rQ7GI#lwP=8^nFJ9u$OW&6|^?r5RA5
zmC;nMHTLwkR;hvjl%Gt8;?_ls(`4B{{O4iVZG`j_PPlq13}#<*aKN$&g-!o((MXt5
zyX9z?{yZ|dx11s*HqiZ~%_J(KO~Vu0Xid##%9yi}>;hJig^~t|YR{$RVG7h2Aw$Kl
zMM?gI02R;RCLg15sN5I=^82v=OgB13yD&Sb1ASB4;VaXI>yh8!oAnI~R<)sZv<(}_
z+VOY6cN9JB#PzB!=q>w+6R)}vk>3M>@4ukg(933P*gLnlA1@92Az|N-rnCLH+t-JX
zb$xiZy%!hdenBdxo6R=-#Qi;87(V$Oe%srzjh(liWzE3-Mp%h{g_l<y_AIV}YE~6)
z9It@NIP<IDv%5gA2rsn@5wV)_(VKH|_hvS@lQYpZKLdQ3=~!WuhJB35U2L6#z{X@4
zGOtiyB^ldhB;&%qWGu~3W*kBaemqXaKvEhaHh#bkp-iaAXCq867kl^$u&M4N^x8^r
zT)7;=uc{y?R*QhpdbSU&35R~S;+IhetopmKdvOnAOZt%2Hh@)HgV?zGFV^G?qqkv%
z%{q-D==~@*UL3{Uun}xE8)n+#5c=c>5!o>S(d&J%i0i@qk{^gk`wp8oZSdRKg6xq7
z{PX$(k8L&B`MVN4!HkW%Q38R@A2Gf-AJ10hAmn%^Ox@El%9V;P#uaFSu~Le0=u?k@
z)3qopXo|oh%lB+XC>)Pm!w|yH`p8uFEvAKHiC7ps<HL}h5RSO1?7ypt#IdnxIKPSm
zo+skimlUjHT(nMZHaxc%Fioxm6Pqib?o)$+c@1dGX3T_cCtT}#P_4*jsHBFm)^!Y<
zb~7HAgNqI^&P(z*4=o<zp%4vT+A6?H2Vb%}H-wvx8*x#Z3@3$roxoD2SDjt>7dr<A
zu*dQjI{ALU=5{+OtDA9q-B;K!hWD>pCANPk#fGaN@mV7euOzc@SvnotS0$tNSv+Dp
zqG9kL0s{-f&@LK`)6Az2IOL0s8D8Kz<pJfTZdjuA4w|puB3{m!&15;kOUe;(<_>T<
z<^XF82b`Vlh*KI)P>Xd&Xo?Fy>~_QOeNQaa^o6u%AZ~_*!QfmpW@jg&g)y=dr}N=v
zT!ulJTC@!}qk{JbR*U^cPRl<i&*Gx#TzvG1&4oLi5T?1oq7<@AobGRsAX$A0Qk0aS
zjr`*Dhv~NeKZ`YgOd-w%{KT=8hjOJkX;%)ruh|@yZauquo_0cZbt_z^e+Bn!=EEKP
zgxx70QK+4Zb(|Tv^(`3_J#l!h7=_ml!qC|th+8(kP~GQ=wQMe6a)mQ`j@rZD^$mWF
zGp_c<D@Z7tU{k9ho|-*}&g+NxP<0zK&RxgmHJ9+|<XI?IFdoP47<94^L1p)TaBbZK
z+qhjg7`y`m8r$*gxHi()X~VjQF@<Jqzn-cNF7)oj5#GbNW~U3g?DKe4a1)*tPjJor
zC9LXSW7AzHtUKk6_1@vISe}B>$wElf)FI~n53JMwhoN<hZ)VSfpKmI4$H`Od3Ki<w
zF_&7)=Fzjn`E*rkKE?8@Qdj9L(qTMrSeG2_&y%5<Z02Hgl@RI4@lnodPAXeJf@{8g
zQ1<D>nPn}I()j|<Z<W~bvjh^y3ZOJA8-hqjRcI1APR3zye-xU`!eKocjE3L<=sWtN
zi?Q!}W_!TqqbpW0jYY4;84AZ(FEi5-Z&o?rN-*>3pV&h+#vXFV9WecoBl=~W@qV2P
zjt{ybP}>uR8+`G+ArK1}gyYEE7zlo1-lS3{YK00Bt6z@pQ(th=;u|*CbhCN(A=nE|
zLOPT2J0ASh#3e-ORU-6(L!43`OHiMtB(2{hNnsumbmD|K^|G_OV7o9OcnT>ne)(W9
zH*LGkLE-yH;hXXsTiJP}limSU<`GqDe?iplDy%drh2ggXl(T-nSuGtZ;z{@|AB#A~
z|F;H*Kw32bV)=}1dF76!%-0II;fP0XY%%|n75gqM&=h70Cv9Wca~WV}{9`ow-GyVt
z4YX)oMr;3B?Cd;=C#uKb5c7Y{e=kz<cVX_y?JWCbD|9|?!iz+9q%YIL&z&1_MrI?+
z(ccJ->8yRR+yqs{ZFoAm6W_P($LNaVC>c73-|4rInf)B6<jpYV&vH?07~jwyh>gB+
zm>bWuslQc_pWA^O-~S?}g@-I1L?|FxhNLIuX`{p}@(Nd_0sjTG_PZLXKU1Scmh<WE
z-nn#DMuncJDo}NqEWKm8RbquO?PU6H!2>QjdhZ_u{09)J{{vS>T46ASaeUs@sEIAZ
zi<KW)re`kWzcXOmlY&jf3FsS$!Kzb{=o1RZD0_cY)B+*s?gzR3KDf2Z3pLivn~-OH
z^(fmpr0$CJgm)<LVYAi0-{DG>D>%Qoq3MkWPJZxWIm}Ei&t(39R|tMii@+@PSS+Yx
zTE&bE2z2G)3iI{%cU8l)hv_Lw9r&&L3)&BcP`iEtS6SU^E66zZHUWxTBScY?!eld_
zy(6)rl<zA_`fPU3pj?<L)P=}iWeSDm@{vE&{6FY&l6UJET04f2QQrs63U-Fov_b7p
zBRn<g&|p=G`x2#yPbq-7RW{C;q+^j^5<Ydt!e)OY(wjq(ZWjp2%f2{$+7tJg*R><b
z8T@h%;P$XV$rdZdFI!+Kj~V7GyhP$DLu5EUhit(ktUZ1Y+z0evkbE7p-(A7qv5Uy<
zJ&$9C=MbB97TWn|vCyAop4`8HR|hWR{i*A?nRpwcFCSqAW4~L>Oc+~Z37@xiC}7XE
za**jWhu=fCItdQ{<>4EfVY|TB3d^uQ1nNzq{SO~Wmy3{$m^Ag=nNCgl3Y5{VM2F*4
zsCwxv`f)>r_AxK<EUS;qCFCf)TZV4vNl<oyFs+;}K)0W9(}yX{A9*^6*5f^lJ8DPM
z<wn@s)G)@a9GMdz;k+UjNeLeiqMwYimn;h)Hxlvd!eH|~5JB0#&?)o8`6+IU#e55C
zen*Ubv_)r{HPl)xVYAX4morRZWB3v;o*Us%q5<Qc^iehb6z>;4!71U#_!aU9uJY{H
z2Tz#i^$Y>C*mHQy_L;K0i~TFiQJiE2by<5XKjDJuwqBUZSgP2rDAe$$B8X)?y!>2&
zHPnP2nQr_O9AWhb7hRqdpjLNLlChN{k1$z^FP0;}I(g#$s6cmp*|T^oPYbWfQKyG2
zm28lvfP3Q9a#5H}R|?ST32s{EHwkZpzi9C7#h`2_el<74d7=(HH!BghpaeHG@{#j^
z`O^PV(3}_#n~*5f6|?yu`5^ps@?~s>Cp5WT@u}Ylx;*w6(tLwaTT5^Vze0WBOE_OJ
z#F)i1EU|fjD_`|cd;1zrA7C>PFVA3(;7OeCItt$ThcNzWAF_VzX7%PS#_;UGciru1
z$<k)KyR_l?eLG^ASN*VYHyWoMKw-pD)Rz2*A+O80f9x)HNgH69rx~`Nv%$PO?_luR
zA9Xg-sI$+&zKk*$v@~HwNFS=$43@!0mQAo;f<C{TM&*SwNvmKMrSDRupf&R;?9F^i
zI5&^xwa=kh`&H;+p8{p_PN(VRQY6S`ZNKiBLIvA+sEK0|zj%jm->(M&b?tcU-iSr*
zHIVQxM?iTIj-Ad!<F-s3WSZSJZpJeg#o&2$1m?~R!&l!R6kPB}>p36RS9xOjG<Wou
zzr&YOmV+Yc3<EDmi0M1vUZg#W*W0sf0DGvJ*s~aIHpgn`2po0BnGhG4+PY!)R4-iB
z@&iB9J!M_loc5<!)^nyXK8X35$BN)EQVF@quZ+d$fT?FM+eI-9{U#35X0_baj{@{W
zP?$O*MJXawoZ=XB`RK7E&0uG0+I<OH!Xr)xMMOz6NQka<3(&PbUJ5SYA|sJW+`BUj
z$(nw+?fQv}O>KyGX6Mb5S`@RHYPG^*JX?{^JP20X+NVO@C;?n9(YWwA9A&G6(Uk6o
zlb0B?vcwH$Gv4CW90$1VX1poW|Cfxtf}(*5%WN=0Ji9wuUOZ&JH=DDGx`vc_7h%$R
z8p16n5TJSlH<S0{yvJ_X*6qO3yW8;N?q-a(GxVl<BjWdNz@f|QnO?ab#cAuYPkkeH
zxPa+GTQD}d9l2V2!KHc>+ndjz+WQ7Rdp~6|oGBJNzCoceV=S5j@GK-2d&^iBz`QC{
zJ!psislP~%;i0-0jJ3;<p(Z5-+NCp#rf|-qt-@;b{kS?w|5c--{0qphU@keEs1S#h
z0^Md=3+r4ZX_br!$)@s?PaqdH75)P!tC#QQ{lLJ6Z@9AOD>nY9Ml0thR?~ij&4XP0
zO=lV_)970_C&Kb!EHZi{aU_)a$?UFI><UEjHGc#x^+o+gZ>)3jgtn#!6c#eB^?@6#
z<=n7U(GBeuZp<TaM@^Im7CrTXc)kyW+?f9|8H62w!ys%Dh0Nf1{5zWphmb6c+%Lp4
zrt?)EU~DntgVwI;M8KLpa0?G(zriGSFXyJPoqS~0FF=o^h3Iu4oAL7%q3OJ$w1l0_
zV&WoXRVqX#@`7Y3BtS{wyyPj(O%M07%z~y-#?}2nj&LuE6uZEt=+XCt&GVGkAbm##
zQoa`hA^G@hmxagPX{f7aJN-0bQ4=14n|ni1Jv9*N9KPTb^@QgJSLE3_qejpHmji9E
z<BAn*_gUcW88e8wzQn|&Arj}jz`XD$SnmD+Bja~4P<xB{rfgnI?HX33Ux6Ff6(kE?
zfp+f|gyvp@aL7#@NWO!AQy(F|mF>v&GG;x)D}492MxeVRRJ`3WFDU@U-y<<PClyVn
z3vlvbHNLI-29^K%G3)Il=6>L#FMCDkFPpEqa%CEAFq0?4r;0RVi84+4Dbvgj=A}w0
z(ze6$^t^c*$+t<9pN%-VhzV1P5o4~nxoKiM^9EY~K&FZ1Uu<fJglHog*4AK0-X|On
z_=u6J9O&)*fN<_){5Kp6jyaJiF$qPYY#@%;`k*=21EY=XK2>oBm#sa_=i8vP`!(F_
z%`yM4DRaGE;(3Z8{*>$Ew#yR;RzE<h)m=<2)x%kzn~X!efofdGxW;un7`_hPn43_1
zavN<|@8gf(6Y%*PAS#{h3yw0!8tXS~{>F*rKd^b0#eo>rh{A2nRE)1Fz-{Sjq&T+1
z=XoD$A5Y+>G#`n)5hnF}k|bs&OTNJ~NS%3K(pQy8?vE1P*sDZdt~04=d<M-4m_~bZ
zrRl4=IOWR=Q=unQW!1T9SJ*i6_YC6Jz8=)Yw?o>X5zfIi__(kfGx&;-tCoxHZ$BVm
zOEStAF>Q8FByxOMjWah8ui3Lfya)8s-$8-x)QI0<55dwm*z$zwc6-b*y2lhDPmPgU
zWq_3AXV72#2%9DDq2|0EZY;ln8jGulzIPd}9G7r$<3*-fT*QVsm+*1)G9EWyL&%?7
zxO4PApz#a}dyL?C!3-~1CPMc^2ewnq4IBmjD4rgPAj1^2cjrTO4V#x|?~b@<KMX}U
zs8pGszE+4(WSbN{Q<zS5I~3^iRwWV`Q>Oe&DkS|*ndZkRl3J5IHSC>EJJ-q3whD1t
zzn*bc?D=#^a#Py=ajg3K2SX*@_@dU1bAK8Ttx^M-$WKso{D=!5bI`B-0mg#Kct0f$
zUlEBd5uy0DI}o}veervSCmw8dW#5c5`V}3}T55xk5XQ#GTHt<<8JjmT!TBL0<P;g;
zb;5I)9eRSOrw`G$;y$?T?jpkT4tn(NKt%2?K1bbS-{eC~N<W3Phyk8!8ROszGaMYV
zM2NpF#y7sj;u=qs-U))5bTrn-rs5z9Q14cSM=mXBANd8Y+hfQr=b?5PA&M^(C${H}
zOzNl8?|OOq6hD(jFDTNB-!qBxkpk(-&Y*%ZS+YAMP4znBq$(mzj<Nitbc(TenrwmQ
zD9fo5V|g<Aj8WU(gg>`xF}=GS@rgx9FUy6dS_bTLlNoyvhg-gpC~st3f_5NM8-3v7
z;elk+cW8EWf@+Z+Cg!|>N`NKYcfLZ-R1>TbFv1V$!#w8^5?t>hzUU^hk6mRRG^=w$
z&O%22Kd6`M;%ww`(1K$K+;bG;%Z|dN=P0ZkkHbs*B)sRILH2(3Uj4p~RZH$eY}E_=
zbT+{qpVzP}aX^x)2PP7OaK<1OA$pmZeWMI^TN%He*n`bi$FYI&3-_AYEM$Z<E%KHl
z|A&fX$vunoRp-!``Z;t!V-CIEJd2j<D3OP;JguKSjecE{qJJ+$Y0!QOt;^)06c(gb
z%I>*;j2+US{~e7*O^|4-Wu8_ArtUAsW5+zqP|L)7p;SyRPQZX;H14f@kBed<csVlw
zd(JW@s?GzaO<d7?{w=~EJ7N)IQQmF0LBtemd=z+%{v8(hTJ;KiVP=T`Yzi@5Q^;;M
z#Rq3ow4XM^){s}Y@xlVH*qOCpf@vNZ_V}yCI6QNARQfRP%02`$PO_P;e{9zOY!0IJ
zOEG;(9m_Fm!|ni<U-Wwv0e`uub+!O)s}rVszgPwpNmFj>R8rnGjW%{qqYu8*$ii5b
zQv777ZH^Qv&J(BI#lqCLcnW#w@shSTCrJeTL+gS+(E8eqp1gJh_BG-;<Fy9)D)76n
z2-l|OG5;t7>AWd0FNgzgQX~tp4}~W?hf556kS*eYq*NCuvbg|<CyeVbwL({fIpY49
z;M74Q%yoN?xmgczY`Pxqd0oNg!{_i`^CZHzAHhBoRtx`Rd+45R#oU!Z_q26bFnbj|
zjx5EZn1vWvIUkzeX2U*F2@MJI*xfn}CYmzv`XGTl4@EI>P6)~70x0X@#d9Za+_dDx
zr_f2QRb1m*L(BhZZ8<-x<q|)t6?1G%tH^j#>*^XVbf@q_m3fg-Z^ZFr_cVz0DdSe!
zLagIkhk=<o$UAukaWaqLx6J~(Cta{HC6qBQA7I~Fh1%?&7|i0Nf;bU+v3WYhb<U#m
zvI~iK-*S4qOp}Vu*OJ?zwZv7nn!JxMr^}BPQC@^9EznmY`JL10?^#LO@K=Z|RT%sD
zi?IXmhjBHik7a;#L5}(2_Ii!z`csFO@}IG!ssdv|pYSEV1Y159p>q94R0<YiK&=2h
zZu!`LJRh=W@{#&JAK6+3h>|Wulj=tte8^_PCW|qUT8g(JpIEK}t5rFxvHfHX=6<S!
z;l8hUT-%876D>H$xcqdD4*a>^3F{X>5O}H^YFxh{d9D|BPy4WSTR*mC_hZGcek?EO
zNA3Q8@Y?nv$Fvucn!lLG)Q!3yKd|C&Crs*?#{9Moy=z(_mEQy@Hp3hl`vp46wfJRK
zjdhb1c>VYj+Br%g?83PJErrOKl8=_o90+w}VGB<tUT^(?>WDPRY)Zvu?iA?$PQuBl
zN!WgiF&><Ws3}drk@^H&oSz7{ltk=tNW#-NmfNG0inPyZ_*?S<!Lzb3GcgCZSO(__
zmUlIa@f9~2gScu(HHuhnVU<_|47ghuL)r$T%uejO)(!J|#%XZ<#=1{~xUzZ}W*Vay
z3;PG*&@phRjzd{_9QJNw5cK?qbBjl@@c1y)Rfq7!=QoCG`=D6e0~4Pgh}g+^XXfp$
zJJO7OADJe+rVc9at8sfl1v~dkk-Vn}0UQOm$nGcE$V>#qrlX7L*B*0{VCftWqh+zU
zH5P@_gAsV6{2rHIhOu8m(K;5)diP+&=?5`ZAqaOC2H~9{<H$9Fv1lD*lfy!x`!XC`
z3L=<aAC0A+ahPN?xh8AVU=fjtt(JM<%wy;OfpSdFu0inJ227`KxO=h-%XE9etu%;I
z^HE4VWj*pwPV&lPv%{-->GT#pN^R$(@M-+?p_z|vY~mwdZC+9u<)+fJOgpybpbXJ*
z{D~e$y8It}JIT%^lOMR`-HvA|&4~J1j}D<4Jl|abkDwAfS15#iL=HZk&OpJ^R8-7O
z#M}+B`13dtck9D2crF-y(g6_e^MU$bPdrk0XF4tG8P(o`W6Tj2EX%=vj~)2F+F&G-
zF}_vS7~N%!Ze?rG32TINzJbw98~CNzLid|Jl)RjvHOAO8PNrQY`XEX*2nGk<WA?f@
z%x_4=Om&w1B+KSUOlolFKnwZ~{Y1#oLCjK`WOqFel{^!mx0{8@SWk@RcS+DGmJ@pA
z72`RAq-nMQW8c|4-y(Kj@4qNYXWt5u&I<vmT*^z1`JA-geGG{qgNP~mg)^d^nD(p%
z$K~o#^0NwJ{iQfHzYvP{*<i!;&>u*I^|u&o7=I6w^^67d@rU;UZyc<0!y%8i&^L2H
ziM0(*#k|IqKa6eJXM!Dth7d@61}@15DD%99pQo>2;@~;7KRwA<`Xk6YyC3nhbntY#
zHg0U$#PYZ{u)L`?7*<({EgP3&z-tlob<|+La~?E(=Ro?@ECiS-!*`()wx3o+?ovgj
z(JErAj502<-?K`d3&Z_t2s*d~^9EO=;0EE?xDFn6oWSWD*V&$_7Z_KwgoM;vlrqnJ
z!2sj5iwbau^D9JIZ?*R+7t6jCruqI;>64ElZ8^-&#s3!4(fdp2;N4{;uDgsj9$!Lg
zNeijEmi3xSvuIJjJWY5^rL9-RX_953z5d5T7pf-F<j#Dloxh-1)`6|k&A7<_1$P{)
z*vv>7l(mWw&3Fx=pln>c#<Jc_(s1H;GX6y-Vp&=|?#i+|EF%UT3DF4RV3|2?QCMol
zGA7v^GT-Cq|8;cMQB|gI7p7Z~l#mcn#_q1OAG<}d69WSaup6WV1qCFfK|&Fvq(MNs
zyBh=qlvY6e?%(&vtTi)hW|o8Jyzlee_qDH$1^2@dTNwdo=O|1|h(^K2I0z71noYBz
z`^w+&Tqz5)D5th<ya<aj%i)<&gWT*!_|&vvesvdALx|~SgD8DOGl;F@*lhieI16s(
zM=r9UDjqgQY*hDhVszVh*f8T^WrxVU`yUspc>EXNwvIwLX&4fN{g^e}iwz~@n{*^k
z;2v_${;Pw2L=_$wlmQ!xuv9e<+;Uk+o%szK+Fxm&k^nC8ScJJp!Id(+xr;(^ePu8T
zuLR*%jz1Jn`XN)@hxYVd7&+_#6u4nI-J8>2x#C!Z3(WytaF_m&Y;!?$FwMEz-l5Lk
z9Y<3<apSfR0wdnT+>{&y-JkHMle|JtDD&@^1igdla5Kt7kX#v_j@6=navLTs?m_<2
zA>98lj#bh;Y};{u)<_IP{aX<Rn#s-dn8Z%66=yFuh_mF7Ni5h&j9CebvK(S`O0xu5
zC2^bG&$wCACSq^toECJU4;|!Ut$Nso)7}lZ(^iG-?WJJF`MC2e3o-}OFn3=PuItA_
zJ311ZH9pg?_anwG1)z}TMvZGcA$IH?PP@`Plj|*9EZ*SlGHY}QS|NtZ0uN}<G@xe;
zhqR|yDE<)Dv3F2WWPp#yZ_ruqDzy79Lrv}y)EafcrK5}bkGhmCzKFBDS1`Eo8qUS(
z<GvN;Xe*!Ka?5j=t$zVy8yh&clha`z%`D0S;CL$>?ixw(%%^wXt}3+aen)P}5R#R6
zm<|1ZcRENgT#;oF2NfA+t1$O;HI}8Q&fbw*idSeF8>muYsd-8)pBT#h9nx%%z649J
z5@8P^z)F+2nO4>){u%URn4Z7q_*xM8qXv(bmm#+<AFHb~VWdIKZe#+kTSTMVAsk|L
zpMb+b_`>rZsPn?MHa8?FxIpBA1H=XFAd_f=GCGsriF^SYx=%0GGr^FQF(z7`VxIgX
zT*|qJIYM{fUu}qA`wTGqp+3Io>Epx-1DqT(#EYamm=pE@<v*U{$(HBvIBt%`TVBFY
z&K85!PUQXYgxQrqOkPLKtau`R<&gVUyBsBVTi`HEyZ2`k7$+aaO-1qo5#!+-B*$!B
z70Iir%%*6nvWY-d7AUI9L@p|`A5DtPG++w*Nk5nQ1rltlu_$|`F37~PcvzssUvl3L
zLbbmeoAla<*sDjjVFjYb3ejJZjlIKZ$e?Uq26rqDHby{YFa&p2eZa2Z_n5ZZ8-sH0
zSRw3!6m<t=owY@2rZp0@DH9-IL9+`Jq}3ZCe9{vHeZB_-8)6mz4ce1j!TV-iT)2A<
z*Uishx5_CzBR@f?{BaDp9fL^kF}SInz}0=HaNAV}!|J-&EqWEs4-FyU_6X&<&vA3N
zB`&qRL7=+}zP})cTtEl{DE~5*nB(Q16<F!lj!Tlm@K5Gp5gSBU_a;eZM)QW7)l=Es
zVKv4dKb_rBn8C`VX0X{`r!(U{)0iR6d4rl1*pK6~?5N#j_BdRWiPsA-<vBd;s`eQA
zGy382r3(}4Eg0sjMd86RM2Qt3L@f&&U!<aBeIn9UlOyzQ1a*doz=UQFw=Df({oV&2
zLmrU7`;KzF&KQ(*fZRMgOnLGe%LT2mEyoH;dBh4yS&%2d3~TP0BGcCd!*fjN8D;|c
zt0uUx(iFUAX6QU)fy^>XWc9tm(v&y&alioyVXiPG-=^qz03vBV$dep{R-IHRe9gnh
z#7fjJXhnS8PehxJA(8x1Q`3c*r`IIbTS4yE&9Y3ea0*k@RbYpB71@js1y=G<p6xV|
zV^ce&*}lBV?CF6?%*0ig{YobPNi{di?i(Y=)F760bVEPB4aTMQNLy41nUW$TMdn~d
z`8U`tOhz+#PtQM(gx{@DSiSjx!xiu0z0n(oO5NaN?u?=1Z_&H=4UQ2zG|%=0?$?{*
z>K0=-+df8b?j6Lgz6pVv%is$>2Z_*=_|$S34zybgui1sUo?D^!mL3K1>+nc+73#c~
zVvFuVtUo&!BhLTfvg8ch&6@`KQWaRtoeJXy1sIP^fs~OPrd!FvP*WD;S7f1oT@K&q
zo)a-o3A^Z>uKPj*yt;Fs$GsGNF6%Mp?oJ%5KZZnwYlvH6gdNteVDa7+DHb1aZdL;1
z&K6?0tCg~WqsZeGVme+@Y?1v`_DXjK6AhTl48|6*iRsH&tN3zuynHE>N?63ir_W<m
zcPNiPa~jjMS7gJJWSC>_BqlgW44WelTXSy=uaf%_HPVGPp;q!U)M3LJa(_N5!Bq7E
zxFQGF$(1rAB@MTTq4*w4e$FomnBb3xrEe@;ZDZ)H9*ut|qfxpx8tvDjahuLip*b<M
zA14R+(|G(mmWVG_$=E)b9L{auAS#pv>J5gnVj(urzQBgJ5|ifEV)$GmF^a7)N$Q|Z
zvu?aK|Ai$2gQ%D_g73|LAgM8qvgW_|KII?ulIUGt`43hX|AAkh9A$sU5hp)}t9ieX
z`QI?QR}3Ie@E2-)yAi9{3E5k1FpF)%>)|>CE~v(ytL2y)R*awg1>nA#1Hq0A?0KAq
zviV<e;UD=d`eHF(C>k!CiAN&`b=ihc?B^k_aO49VrUii>ax|0i#}C2xxU;|yN4<Pu
zf7Tb5?)hR{hc7a|_~BvqdsJElfX_7u4l2ReuNaDg*Wr*Oo^t^)-yceoF?)78?NW2F
z?r#yS=&s-XgB&gPZ4h43jdSD}4sHL9px_Az3~)1zm3+)YUVt^ept+ri5W6lQ%yh_o
zx6D_F`R0-rl-wROc*(6io0n}TR)*vK7n4iKM_W9AlFz+(X4HwC-L3eh)_|=%)!6>K
z6db`q++0j7>Z5dQX#a|Q{R9-N#z3+!0%#9~0#`83ZwQ2_AF-B;z0v#K9V6ro5G-}V
zDscz!-nRpr@&+5btx-Dm68m;oA*A*N?4vDkveg_5FPcMOyE(#b&C#*j0<%nCAbz72
zjNZONoZ0LD_hlcs=Y*R!ZuqV51M!(bNDKaqbpBX05qDuRl#A!5D$u*48Rf*mf4WSJ
zlm|E4OniGT<*aHPCD<UhG<)nS%eW6rVcyf^*)36WO{+{{+y=6&c$zf(LbJK|v<pdf
z6lPhy{A~In9=57!9Mf+Pp=@C<%+<bQ{mw=x(3$Se@e(v|$V1+#49G@OoydlGTpEo6
zZ_8(B4}V1ZBFgRB`9MXUIG-dJM4CAO*KFaWZ;f}hme^5XhKQNZ!L{%y(l*iF*-{_f
z6IWp8b)I~Wr|?nl2$Ej!2XDhJTt2uJz5T$usI@TnSb^e?ixFHm4~G`bf}+0$j;vRM
z@vst93Z@_@LmC?!C2(3^49Yi!@cug=w4ZY0-i>jN!SrFyz|>zHrPE!Up`KQbUw#9}
zU9g7J?pe+`=UdEKt5U$(uAIwp3(w+cjAU@m@?>!K52bUi3}<jsmt=E@SL6KNUcwpt
zT+K<o+sc_E(8qall?y@}L{PIs4$U1JIC_6MexBKh2Hx{ne)<`NdtT#Nk`G$wyFYoP
z00xyEV3c3i@fK%!l!-ilT$7o4FJje^tC*t72IlVq_TPN4Se5l`qGKg<oVA!{g0oqa
zr8*OcRAdterP*RnF?NXjMg9-DS%l;$E|~XYWJxy`_qRjPqZxk{8}MmIEkfj~F<-9|
z*H%<u9p$0!bCtusy$s9b%F$w0PTkcNI4D+$i&9mnSW^vKqZ%03*3z7VcJGl5#OYF}
zfps(9cM|)(unp5rQpV!)cRbYUz<@+2JiR*cjkgO=mv$k2aToL^Ix*Rao*~?wuw2st
znH}FzL$eyaU#;-4X~7H0W}JM`h!gqs$dIf<!L}M$->t%5uL|_#lu=h+3C8D=`};~E
zc0}cqYa$PtM#LftkeASxSZMmJNv%kyUB)+z?@YrL;wGLBr{LI&6pU_7!Rn<clmSV>
z<aa69t(b~aIjP8?ySsbFH{6rTz%iRl_^r)`pnNW_sO01O&O#))7UQ5$8J1dAV2W}z
z{zj6AVRr-VqnogCe=FpJ+cDAD0l~H|bcc3h=el0hJpT!|r@!!LZXe3X7xDIOAEdSV
zV4C;~N1J{^II$O<M|;p0Oa6uLojB9}9rF|0;79)9ZPHCRL_6ttV$LR6SK;Zua&#G#
zqJZYzr}Yb9%$J9zz-$bhCpY`5bgY?0{_mA3IC>=+tBAeia1x-?6^Az|vB;)(hoEo_
zHWO2Le-7;;<)X0*(YWv_8e7j$mgs0K-nhh}cLuq`$A}+S`ig#&RPsxuWBPwtNIFVg
z5~&3UI#EJCq6*v{u7+EEJ&vU}W1o9FE*zpcS$z-Q&gg@R@*t9;hUr=N8_8ay;A<X3
zg7-Kan#VECXB=J~V~B_uMXSmmELI<ZWBwql7xW`&-%qSv*NsVBotW>_hN=b4<kYLj
zYI6AvxmDn_QYqf}6hd?jbvd+U(aw-u8P8K8_b3^%Zxb+37>m1$qj5bx64CnMIB@VY
zbgqP8Ndz(A%Rl1!U=S?(1If)1h^V9h<U3Nn_iF%hSs)BlgYfRe2b4^F#4?c(tT6tJ
z3zs7x_4Nz>S;S#Hk@hX8(s1ZZ7G}ieW9z9>*wFW2$GS$^<F!M2XE!8O`@tVLg1gz{
zkPjzDJCujbJ;29qzu{-%x&q8GUx1C|2(X!F1?aiS&n#~f%S|l!`UBi-uy_KA??-WS
z`7k2w`|ziz8~et;<Ed&3=FoRc`gRqLM3y2&q>%3MIpE{Xz!>d%V+<0BNv0j*#VFJ`
zgu(E~C*0Mgvzl-KK9x~+JkJZ;`)TK}<$rz`@<drW;_9=vkRoPoiKZ=Tn_eTT!v^Ba
z26cnh$P==`GBX=UQI@a2=?#iY?9hAAfmi`&%v|DzVoxuGr@V)c8@XzigyYq-SQtL0
z?-XUBZ5i=xWpxnw@SVIseTX?UMw}K8+ZrRlmivh?BW`gvC2}%587#$|8>HFC?J{hr
zPnun9mtq5}C7HFL1e2rt^O>8%%%41~dc?&93{2p!_;0LT)`yTgUBr&i^Tm*yva2fa
za&ZyzPUhfv>^I!ll8k|W<b7|AghziUJT*U})yN-T|9K<M!yV7hxL|<e0Ab2gwVkj=
zs)HrQy3H_girmbVPwBgJA2UJ>AbjO2eb#kx{K*+Ct2~CE7Z2k3{C(I<*?CRfEzqq2
zdBD~o+I$tnGM3@hfyLx~UO<fVTpW~|O&r93aHp=$+{zi4{cZ-m(`F)1R}*&cXTflE
zE}mL0f||(+ELPlrVv}tM<I+Z9o(|T|GoWmqG0bva!OqBqJY50EDvCzW_G~nZ*5N|Z
zFK}*=llYbxYvYn*+2JZoZ01aMYkUst>|em7+ZQp<%0=ug{dvfPxlAWVlg-$o&U&^^
zWuMjLSfBW0R=8e-W#{lQPjmA89;EN*cn=z{wPS{J177G=VRlIgiiz*NIX#=oF3J6<
zo`NgEi3olf2b1_{a+5?Mj4uKlr7%2t5(@tXA(Y=EkI?gAteP8)TKZ$fi~o5QJ`u+n
zf^)QEH!clB=-fzf`o2I*Jq}M26Je5)g6{t^5ZRdnk<mg(>?%ikehsExZ-S=ucev2`
zQeUtiC8{HsQ9K4^9&$ewaI?@YysY62ACpnwXLqjgGs)BZ%(IV=Ettc{e585V+z4*=
zMUIP=TaM$h{cqHr7{r#LpUAuVgZ$#{h@L}z80K}j{G$?{CrgR@D}dqC9LO%uz)j&)
zc+qq3kvMVc8^4fOJ{-%HLQ$Cf5gTm+@r3d)exH1x#^(iZD|f8i_6~d3xghnr6WSUb
zVBtjmd{=uM>9xa{lN}_y?XX$W9%a4u(A($$9(gBXY+ay#!3{w_sozD(59vPxG5bac
z%*g?L^?E!En^Uo;BL_dPkhgSq9mMJPrsLgD=zO5(XebwJP2pp1H-y;LccRQ?u{f(#
zo6Me2_HJFXB%2l`$-0{-vxa*TO!eg?Hb(B|wRE11f6LDf(`@p|%L!uMeq-o)A9hdr
zfp4E%k$k@%Mpr7)X;zGBg}Kn!l7X2WU#Z(79)E(qASW{nO=6!=dOHw0Jbt+H*%N<^
z-hpH21V<Bl+D*KM4gV`R-+BR49y92M7-MMo36AIA!`gNOY~x%*RQ*M0rJaTS;7Ozz
z9>t`s2N8Hn3u1hGAUUxEORsH1!O1N+Rlf<j|287EY$LeuZbIPS&9FD$hL_8C;m$%W
zZ1p%y8Q9b0D!Ys`Mz^uO#0Y{)mc)kG;k2_mzP1NJ_BG{XpJu?9-p?2HJFv9$56ze9
zb0RLzxVvPTPvcY;=cmrBMrX21k+ayOjM?ns+SyEN?SJeu_YAhPM2$&|DKU#gIrjXh
zB;$;UvVLMT8|kyxwPO@;?873HPFRRE<BDnx?o+mQQ))hDuFgW{<TPllPr{wJSjvM$
zA;dZiiZp|=())m>mE=*|<OjLe-Y8S@gi06PpZ~fd;iwC)^El(=xFafeIU@g$!~gr^
zyPi8D^M(`7mO0}`yepjMyJPQSFKjOG#dFa>@>~St=FM>2caA|N?Hc~YW#FYt0bGb(
z+w-&$*{l<OeEs-qH;SpJxLNdce)j2^5ZioGl%@MkV%0k(nE6(6r8-Wgr~YIXzE6Tp
zE}O)fnnW4*OJR1mLx8Ol<zr_AxLF5%|DuhD;J@%Ewsd!(J-HeCqiSJMRE`U>MOghj
z2TUm)0(Hso%7`Op3cZJ<!l0%fjPQW~xI6no;;bi*?Rtmt!{nc!&&@>9Yp8QxVOGHl
z=sq>WX|3ld*-UIf+yk1c-bUK!4Q!RvgVbYPRBSwpb5~CxW8xSr`HrC8;vlM>DBrnp
zKjye<!JPUSHGKEO&RiSi4-ez9_i@^n=^#nv5=1j^;=}fbaO`-FC7Z3VGM{*HTQ``x
z1|X`P^7R)|F!N6#&R=W9!+XDAe}aqQgb+JFBEj<8<XAj?UK|6bv9FV7usLHhndJpd
zcINy{maL}1jEmKnYRpvTD<jXkRi)WiF>xlvBh2cQ_*g*Y1UO?u2=woPWnCMl5?5!F
zQ-QRbMR@oq2V!(zFY!voi4SqmAB!TUHw@Y*KH-FJ5Ec;o?myiJ$IComm-r5A8l7pr
z>qvP!dt3~%#pBf15SVU*Z1M{3&U%STrI&b|YXy}SD_pwt68RTi;bxmP{*puZzJne5
z>l`3m;sVE~^xym8i?>rhz?C?SR^s5_lY=ZxF9+_^$}n?V18#+PLTLUV{@kCS{5~Js
z8$*r=+G#|tn#|^t=cc_%hN)2hQ^71bw$E9XDeRVExhJGpMT-QJCf3<ITbS)SBfu_|
z)6DJ(-LDUfKz73~L}_*6ntd}|#cE+4Uxw?xl$%V+f~Z^?6kQW>ZEp+?QVx9c8uI^=
zV^A*L4+HQ*Zo@lFr~Q!MLwiiW`x@3Z#Q3CI;HI=G);~4^<9>wdRktDFa~)o5E)fex
z&hFvk=$di}Z_n?;{@NX|d9oSRJ2+_Ltbx^;<tPnY1TN)ywD0*3?70Tk-c!Sb3(c2$
z<gwR47WQ+cuvtw4Y`++cGlj8<+;du<{MaDNhm0W}%+TV2*(x4lM0k)T%7=UN1i-sn
z7}0i<aDI_AN=_(3MSD72PRz%`lr?BA+X<B)r*QPZZPb1+hm?~8av%DmZ4Y^5e&pjk
ze;Yifk3%V6nC;$4_ia%%7G^e!$**6;L^GE&o90!F`^joHp0tvsj4x#$0~W9Vazvij
zQfGfwD6!AGWSDE_B(^?Jklnt_!yMO*!7sNTO_zRP)krJ0pJ<?dt7`CUEr*VGG1#*L
zdUoa_@^v=2LNoDbb_TJOluf7I&p+!l@RJ9@llBcN{%Le)|Ay5n=~&IlfTK?)Og3l3
zL7f~|%kvTTs1S|4#W-PB2AwsP*uY<dtJQVz3vI-d$28+!+K$GY4z!UoRPK5Y!p~FZ
zjdUOWQP*7b!vXA`I|yeZdOtrLM7-i4Ce9Av&XIn^arMzo;wMg-^x)z3AGr8mC*@k(
zab<QZb{RF{<hOe8{;k3M`BgY{svOU3OR%k=kXZeE95T$o!sbkLTuP^NavEB)zf%8t
z5*CFe;Cw?I#+Ju|pUyGv`d=_`EDD^5k;tchiN0$Q_`4+n8_q|dCo=*v_ab3*i`)ds
zUtn-51}n)Cb<ZvVVY8F5Oga_a+tZ<$odx|@dAMXntZ)o5a-!AbxvWQTLo=puzLSsg
z2U@7d>f50K{QO2|tsL?XA0Ef4(-W9l^$)eDxmd0R7t^^!94|K)+YmAV9h#r4_Zy`d
z*>CFY7{c@BJ`CLIMP5x8o~wVyxdSbDb+-Y39Oy0_U4b>tC6HGrgoREnjwEHGY1ubS
z&-{w|dx`k4BaR#d(J(n4iFY1h_#++)-H&ued+-6)j|0*B#UIi0-eahl`kiWgV5;l`
z^N-%pw)V!8Om7sN@xlC)zA#DkBR{o2KD1I^IPfE}Rw2|A5soH0&#k9(!kNCW@b=1p
za}2pHXO$wUt{U4C==bSE2eiz8;_bX)jNcoFraCthjpAinI_O>WL6A8P3$bIV!pwfM
z2oq}(X4-3nnd&Sdb|*@J75(C4Yv}B6>&wORh#ga>9a)WfKg{V)<aCeDhtr#3SyPKu
z{uTISRSb)ldD#Ck6FJ?fP~V$`S*5YKPkFRg+rm({@)LS?2jLi<-`YF8VRX}jx|-f0
z@sAS>C*I=5LObg0c@5E-*6{pEGqnB}7+h>YE@Crs7@1<7iwTwqn;@_3IsOWnAmpP7
z;&V*Vq;C$l4==!H_7ZyHuQ9G=54n@hFkkHflYT!K(mD9vL?r6BC*j)hEL6ys;s$*e
zZw_`r&4+fNleuZ1A;1bfM46HDWH!=B4%i$yR-PfxF6SyRcjDvD@+z=R$EUDFZpzar
zNHL^|vr8JHZ19jEGrmPT)@lF1V>kldfuCp$?tp(#6Q*}pV<ycA-mcEa5|)V-rYQ*f
z7mvc=FPN|j!#{^$nx6z<=YPH^5A=Zl9#=?HX6pTzEtH5a(AKcR;q&I$octU|S3E=3
zoBMF-Fo3+lRh*coi}wm=aC-SMC_UGP=f6GZ{IDJKEjFRoegiqER>N@Pa!h<*gwT|E
zv`3hQ{uwhN5v7jLR;n}~nTqOZiclDsg4{WBkf@TuQxO?>6-(pTRvBD1mIb%>6s*Wn
zM1Yzqn#wg0p+^3sRm+f}!@=3c-LRNAiDrI%w75No&b8MV<MV*j<q({)_=?`8WjL(d
zg{TagUuTN2Nrz<F79~~I>#525h*g@ti#qkbFJm0GoM}B@%4~)gvZFk6S;Ul??2C^o
z^Wsxr-=9mdMr|=x>L9>sj!<XWT5`aB`-KIoJF(NW8MQXGSih+Pd^W|nc{(4K{@EBk
zPL2daVqWO%oEe@3l#mB=Q#@pdDKnLg#Y=LvL=pp2J2Qs%k1^P#7K>Mkakzdt9!irE
zq0FC*S^HA(>qi=TN;9yW7})*yssCwaF>H9s@t5YxO$zmxPWi)wyW25oTNh5qkx$`$
zAJW>X4<KU%F{?-MU@3WEKmJ9F>jVP1|KTjT1*R>ZKrrnHCsC&A@3lYB5gtJ-?S6s|
z^}%{tFJ>im;o9o&&~|G<>8}RVuC2vci%Q(7D#ht#MTqds!z0yfY>y<b%!O3Cb0;H7
zH32RQVv%zG3tGPt)4n|nOa6smb6YSL{G+|fz987vQvZxUxz-}zV@&itu6?3;K5-u-
z-F|ShBe#Gnb(x6JbEuVev<rga-5Y`@8sUg8CTHmHSa{ec;kGCJOl7j+L-(|^|0r{H
zpcbDpo3UhLCqjKG+nhTDE2lB?n30!0kB807=3}o;Q~t`7TpE;%vC*fq+-f0a>p-)8
zYXK%YpSoDdA6EE=n^n@!#%cQ~F5MrZ_sTEIy8b}+VVa3<XoAGTT0}0Yz=G|?IR79I
zYcexYwKNSCU&#S+GY<4C#`)!x1=$-y*{lyR>-Q(8r7s>W@xo^*cSx$ZBAL#*D^lJ<
z`-~mVFMEUen{B{nPZ|4}FQLq9h53}_;|Y5K9lIB3CZ_wlJ#p`uR>(Gbg{mB4f5L1r
z0}fE39K#V~5B%KXM;^5g<l7>bsy4aa=-1<xl!up96?k!?8OP;&&{I5uF6zvCNEytT
zG;i7ICC=7U9wh6w41<Oo^(4qK-VQkyHc5`9-Irl8Tcnt(tprnkAjS?W3A3xzyC>Go
z&9<42<0oeb3M##LJnK8st~4T<n1m;;C75fKhup9XL`kGjH&#5nPSQP*p0h<KgR$Ku
z0K(%w&@l4AcTMUj>UDrAIWEg8tnp#Q5@JitA^GAtGW%#}&U+sPn+<U6iyn#&U7#KD
zX}BmJh3nb_Xf@xBt7BWS!hzw?;dS`FZY5;4FM<5M`B;}d3w7&f;9{8?PQRLpGrICn
zKO=)D4<_Sgq!`pBh0*njALr-tpuGAo=dAAt$3D7`W1`f}xlr8BiEnA*cpt9g$giy8
zoOx5mxn)qydC^nAiIC6d_=x9mp8m|`bTs90G-L`nR}xA%$5g90Z_OJyXSKRG`@au!
zj-BPj-ZhgTw?_f-{hHWru?ji*dvHPWB2G3M5nE`B>C^qluMvwc@<q6r(Fv(6Ze~*|
z&H{{-*xlut?2gtVHoSHf+itp^`E_%c(p?TSxU!Dz#Y(pR?IKpsPuY{{>TJtdMHVP6
z%>piqvD$|MENc%p+Zg!=*QZfmZ{iP#U2cc+L=(22u1C3k4S9U3;CP?{y7XNsl_`T3
zW#wD<mLl(LDdxqL;_J>be3UN77Lf}4`>zt4E?413S~XIZ)Z#*D9j-5FKyPFtbsja-
zytM@wZbkZ%c2w>A4xMcs=$Gw8V`L}x&FI3$vt86T(FF-2rkA&L;=+MW_}g{B_x*S3
zIBQ3*7WH8DwLs3W8Jnsb;X0=Q26}anaIc|zVilH>Q~t9=IVzTwV(r;t>~$){p_+Vh
z<mMsRJ_jw6v(f063GG7}sMbiwZ|QGPo0*1BCsWZ8PxHpjDHs_2ip09FQ2g~3ub0rQ
zDli4U`%`IOo`&5ZKciVX<o;z~YG4+ujB}{dH4i-GZ1EN@M)m{hGT^JgW_Oya5<&0Y
zT91||O>h=y#bkqaM0_E3GQSJ!hyl&n)r<YaB;So7mesHimmB-gJKBdQ#E#Bb+lQ5x
zeqqKg@-+7JkPnV>#KfBNJ?TLCfp*ILwIal`327P)&~&M#uHkBIy+Jt;dcMx1=gZPm
z@;L6y!;ZFW*w~Z1=0rNV3)0ZUQt<F%GPpk{;<9=IJ|xEBt3@pNePig^5DjtpXuSFI
z1$}m3AQSopN#fBkrN1BQ7K1s(u{ftieQr}}o<+}VGdtRGtosJnxtS<Ck%O{~d=y<M
zCP#fab)Qt@l1M%J_?oeLpbb4~ozz3tL+*!P82COw&h%mI82Syr;!)Tw8HcF!U&!3}
zi@0rn(L}TScC#_8rS80L!QYUL8^U#R5R`N1-<{oq&W=u~nbLewxCKs+8!)@81_1{v
zA(~FJb50Qovhq-SAsa{KGho-63WvO8Y$VQAhdU0TTG1HDBF^(_IKHj>j1wC|Aapwz
z8=J|OWl3IG17b$q0-!yaSkVH1s5knfaZ3QIgaW}oCkXSx=%4crh6@*ENAklkLn4a&
zU@<t?o`C81Xz!z+fo~bPcygl{&4(+|bG06m9a~`&M~qv-FXTTO#@w1Q6wypz;4u%2
z-o(dr{Q2234?3UzC&<=p5@hj|WqraCU_1+{^C6FyEzsa$p&PhZ?V)j8YNb5%ngQyB
z>P3hp`PST8@%wWF))iD^!FU;J*A?MEr(B4MlW))~6}t{5p?g*wM%2FG?V50OKM27*
z%Jsg#8bID;KkVf8h9J3m7j1oq9bwK`q~(YOns33i(vC8?Z{Vi%8qUA1QKw;zY5uRs
z+w=<3xv!A?)S6s#Ht0U`2EDfAN<Qa6&KP1w2i<Ta-5cNc2SCLA6N>yJv0pC%26f+%
zNcYkU4=Z7DsTopc-C*u?UR}+_dYbu|!hhtc?-XOf!jsuv11a{Ie1qcOWmssh3_G_>
zhAHPsF)3nBjP{B%%NwFhYpW2m>*Zsq_qo}YfiYMQ4<d1LFOKZ}4jE!-e;%oZ>Ky7R
zSd@?LS1E5)nSxoj5+J!Q8hH!Dp}hMOdTIW8YQz^wMxL;nM|s0Pj?izl!?qq9OqYI%
zB?m2#9A-lO<wl5k_z>x(xA6YVb%fFk=&blzTv~7f9!7_t$ghPtu{+7fv<2C5fSt%X
znAogD)2^j3+q@8hkLMz9<Ug#7n}N1Gb$nW(1|=R9yjnRGZ#xueeyxbY-wJqPtVlaQ
zCEQe2Ax>f%JpaysT>l*4`4aU0Sc~IVw?TUQAyj9Qw|UV6Y}c`%v&CEL&GZHTg9v24
zOox+rHO%~bv69}mhsodQ?@cbXZdGR4rAh9u`7HAJVs<cKDLdx3l)3vYX0gNbna%ht
zmZh%2d<&G>`D0VqSpiA5og4)luJALrom`B2{|H3Jd-2HRJIc!&(MWf(2c~pxiYr9^
zP3oVe9)Lxf-;ghxg3Ob|>W#)@2ld?bYR2G8<QI6^k_#&-5@W;<YfPeh<Dy7nuOp%S
zGzy6ys9$kO478`jVea7sEbJ#w3vung$pa!zcVXk;JghG&0`Kf{oDQPycgi=vY@)7P
z!wxvMcH@?69}Y+iQD+~q7fEBNJvl-5aV~agfQz~6kYm}1n@yrUSbH@W+o8<G4sa&m
zQ96dn0)ODxGK8Lo{g_tQi;XfrFn`{6^2WDd*SrSA%&5Uj%0}7FDnayy0?fahgI9qW
z_|2P!wGWfgA(?=S*)fpzkHXfVa9k@7#iaS4P!;|GQC9+yeb66I@A=_%xeuL@y>aFs
zami09V>v?3<rEL>ZTCR&Wl#Lw@AdzEj6yekaV?Y>?i+y!2qkvmUMQAlMZngJykZlH
z=%`8~Rwf7AYKvgqSc#aajTkfdj!9p8F}aD@h@f#~KHz4ZyC{Q7dojZ>A+~dl2s^4w
zzDYAt=5tAu3FnBgrZ2*5-C7~acnh#ilvNI;&xu6N1l~UW0~^6X@I30p<*p8lo@$|v
z**e%huEfJ7)Nx5}w|{>#v6*ITm0C%d{W%r}OQVoq^BITzgR#^x5WXM$AkyYVY^OV>
zXSv|bZAU!VVUIK0-$3D(HOgq7IQP&C%#k*Sj-V;!RG!m&-3Y&rKf}$~Cr~-}7)w$f
z;aBG)#PmLf@^{KO-8MqL)pO`?G$S|93*0Grh1XfOG;4K2y0!;&{*u?!DFk}zF_>(V
z3P*Ye)dy5#2G4hR+Ydlfgo~-j3a}&bqU=WDWHz87%jVk4vzI(dY_HB#mJ~9TwT>z=
z-{Xobl)42AJ7w5(T}jqqJ&9?Mr*YLKes+B)b&5P2#c%I^>T>;o{b?;w%B@AQdO4PS
zqt5wHStzPb#fD9ZxY-^JwS;gOr+vbfKY_46;s>5aPnf@Y2mRBO;nuc?qTXv{6C)Zv
zYJq(Qrr0iQjP56o5k2cJbfxu?zg7?MzW`fp>Qvo&95aj$;i&L_STqrrK6wY`xoyFy
z%|=xAb6{Vz9tx}1A!+SexOJ~V`{}jV7`hJg#x@Z1wh?-w<Zzj`hi2mk;k)lN9v5H1
zHtTyRJz;{PlvfxaXU?GvU%WFQH_+3sh{`TP$P_xGi4Wn$J6^iCim}Wt8OHyBItA<0
zS$3`_Gm)9YjNi>=oAl-~Yv0){`?)65JusbVo>O5L|H(7YE7GjAY7+A^6k=zzc-b|c
zzxXOSh<$}WFn4(?*or!2e=A2vNg+OH=fG)gI_*@y;_1``@Cp!%wu+t+;h)i{|B3qU
zK2VQl0Cd;C$2k#S%vbitoBN&^Q>U&<Wp_kgb3>!N8^Sf*aLmz-GPmw{n&SaS7ccDp
z;e+nf_b8tggpHI7@%<Qv$>jBLdz65WUsAEwfbO5~ifC>_U1Kech)(T*(mTpCGwQst
zpq>Xc>I$Dm{br#;)RQQ}nmKe{o;QhAnM`8d+b6La>fTh{D9RcrA2-iJkl8KbXEI(q
zEI;=jx>RW1wr`NW`@QIQ?toujGfJn_;oXx8$O{ysDl`{+o@GGwb_%ZBBtWbn8lIG6
z`4%4n#Va3hV2wZ6LLbzVYi29u<?`DcF>=KoPh{WVbo(n**IVK#mj#yYHpQk4V_ep!
zTq-fJ)#>*jc9DGT76vd|aTAY?u4D5Z>Q>RbhTB2cASQbQ5=Q!P6uAu)-bY>kQy64F
zNA6V%)Dk;ddD$MW&90Es^@ZW@VAQ{jhRVV;sDGqqeM21#U;n^qgFg^^%gYKhMHts=
z;$iJ&nHaw!n{-Z@IoYYQjW5;M*a0<`#I4E<X_sN>ufQV4D397E$*Smkb$2Sw=Yr^+
zzlVz*n*AGYlYimN;SPM@YQi3oYM9<A!D4bt#4n+po9S27D8yr^D++4{KO=ZiFn)Uk
z;L2L!)A>9RJ>p8e<W5+9#2#PLUSs~zSLl_sg!>pdOGQnvZHo~mPCUltm-lc}?G|cP
zZ{nNnRm2-##-CALycW8EfY@^gS3d_o%7M(fcph1Xx)5}{j1#}ELCD(>VTBKHq{s-j
zRn6f}dk}?4dkB#C<-X5*%-{VPZIcsVSCs`%;|h3`wSn)&AXa;FGmi`*7W+hk6`RYl
zQvr(X(I*wAa%UPF?N(=cGSgWFmpc1cuFBqgo63@T6qr*gWix3fa^#gL+uS6;bawMF
zmNtgS{d8X5`-5D~^xSc*g>+RJlphx0DCO~$l2f6jO`hI4F&N}Tz``a3#nK-zl>Hv*
zVZ<n8xuaH`Jc34!*riVU4%*+$|4E-8Wh?3uvA||oGw2h0zof?qCCi`TljUP9SoaXV
zw)gSK<sLY?_Yfg`pZb-^QL^|kj**+?$S-3YS1^M#c?%asSX0k4brex<+I*fjtQ~@&
zF&YlezC?JLWs!re3|qvSQ8UmBrypZDu!oObJRrhGs8`+SoeYySm1lGGl$hvhW#;)q
znUz{7Gv)uLGV3k{Haa55svbx)+jkPoo!Io)U4l%Nd;uyIl$}Z%LQ{Vabnms};sJ7=
z7+2yoZ!umK=HNx^Hz=-7hJ0=;^50SqvRx=R$se#)k(g_D^6~F*M}V>mv}7GnxX>0_
zH>|-aw8Yi}=GgK3IW8wX1K)n?`_a3Ng4`SMyLSa*1{W|Ge+ElWoj}O(BX}6E4e=LR
zlo8njGaGVEx9mVr`F1os+76E&+cCaoCtg|ZruoD^*!UmB-jw6y3O@&tF6zNMbPtaQ
zjiJ*)KR+dVEPm&XAcG*>b@>7g7kPyrm*Eh7j=Vk(!?%bsW#rfXSs=|m#Vay*Yc+OI
za0XjCrpa;-&0-6u&0>}hG}&@T4R$|Tjh)t*%1#qcS=uDYirmGR#(hC1{(^@M#f(9F
zq#xnAUD&d$1>>5vh;yc{j3)&+lS{6ydudp8pID^KSd5>J0{0r~V?Xo>zdi*)c#}UW
zWPI^@nipp1xntP?bwkHH!#<OG)u%e3A<iD<A1H_0XN$M?wuo|}teKb{3Vzw4R_iSe
ztt5weurq>V-{JTr>iZ?f$IO&Kq}-)$>V`;!55^<z6FElz=7OIXyvmV!>TBx2o4h{c
zNR8pmA8s~7L4duWJ>c7ZF=j|z8T+&(nd3DnW<~dcX?LaA+`E!&ph1E<%O<fMn?>0*
zn$c}O%g;K9(Qiro3s2b*gz5jnESf3oBnIyGf;#+_CHLIyA~asl!Sp8DRXt0_m7Q_a
zuO5Zu6Q7af@e$7j1K?*%-3=SaV?*Dg591EFBSIdV<u(X3vcjA$>MXcvf+%U~<P3a>
zHM+OKefkEh?a3V>bRJ^yr+~1d=<U%)iNQXYZ{7u0y=|1=-2|R|phIZ`(i_*}_pCKo
zB)A$ymaDKndlfd;ug3M3wa^{ifW_N3L1&mgQ;W5*WZ^N`Prraqn+#ys_6#$J$lH9;
z9?Qu`#TyWebNcbnv&zM$uXQ+;@)N6RAF%m95hheA#dI?iS%N$DNK0svCtx;n`Z1R^
zES|?aisrD8iT_wP&kS~Off{oyQDjNWsUv}AcpNDa_PLmkea-rZJkMbqo7)Tf3*=$t
zG$1~t65D-?kwX2ze>yU7Pdyd(5s5hI6pM$MQ4mHrF4Fu~frsX>+k$YV#2<k^e$bBd
zfh4`h=j3|AGS>q^^e%s0;*R)McgUacK+^_KJa_QI4P77Fmyk2oG5}{gKVX0yIkNjB
zz)r?sbRZEb66A68Ax_JaI&6Pck?XMu_mn!}9{LLrlZkDaOgvHw4>R=UXMHk4%w0r;
zDc=)iJ%?!b>?g+lyF?kq_te{UmAW&sDEp8rz@*IiShWy2SiVkxt@?xa)&poN?E$w^
z2Li4(!?d^-W&118)>j1Muw0yW$iPMS6ij3%VA<3d{Cq>sjk%#%-}M2ux&GiO@j=XA
z4~Xx62aB&xXg~fI8p^hKE?@&2g_oFf<OQ75%wVZwf?11=F>m!Vl#D$>2HykZy4=P5
zoZC?IyM^{ux2Q|+7FM?2Mz!WWSQ<Zsi_kNi_+yMvA2aaETj8qiYm~S-AV1p;D~A1W
zeLD3T?uo&?%W2qrtPm=rwHTG`g7NVY^l*ruvlU_+$jNuiOPVoqBM2T*VqMP4jGNpE
zD?(M+RabIMI4H4&+4Ag^jx5`4A<677PGU>QF{W3_#~kgr*txpju&w`vmCHJz+t!50
z-fGnCF2%s#JZ%3%ozc`q79LCens>e+_F@=<tb$=*AAk_r0Y(UTBB#O?#s!W@>b9fa
zgxC0O{}LQ>;(F$p;+iLMYs6+NUA+&5VM8PqUB^_)j;*k{0F6gFSX^`xGLFX}TX`6J
zJrAPe?*Sa-J^+t|{p9mLfLn3eIK22UX6GHl-jLJO5pn@vzhA?s-CaaD8DaSy3-Hta
zfBr{j2u<_F)yfbUWyNECEp>6VQ|9@7C%$C-L0}JcK7@*~Q|;31>Q+Ve?2RfrX+52d
zDa>TWGd0<kB<jfEB`4HOb(VZqh1vg6U@@AqELD9nla~`^^C-7I|0FjP4E%!|%6$l>
zjKf;DCRn&tLrAI=4!`nnWI-mje@lT;Py%*WMq}aj2$~6mprM7jZ|E5mc+MB9!=Bim
z<c69gVh(>h;`-IMlpnUkpcu8gaVR$zPZ<=`m$>O=g%LR`*!5WA<vc5lHCQ1|{1pzQ
zStD2U4GieH{N%ACToYWeGu9JRACi}jFBox$BVc|b9#x!gFpka#C$<v(#EG7Y>A|;M
zzp;83F+Z~fn5&xzn`JD{KF3J1p*fW4&5~vER&vbawj4`&E6Zkb$*|IVNfxIf!S;}6
z<7pJ#MVIiiYA0@X`WIzb;s?<i&;zlQc9=>uV)@%DY}YQq<Xw3Pdq6#wG<)4(5D(L3
zUy!O1hRf@MG5s;k;F^3WQ{aIyDe}<Ok{>zE7L{4nX#8Ob{aNM+HhK<Ax-$;{y@yq_
z0}zbY!%UqE<S;&s{6$B>Ieq{opLQc)&Nd7dGW>H}huO9(@$=&nwDinJqV{Z@Xqtg<
zcGIxrsxsZv6tLutEM7E7!tAg(_{T(WF;@_u^7-J*&qLhH1gCcUDCftLVUAO5KWB6Q
zPmakz52vA~n-i1Y&DlTP!|5~m#nFr!<SZ#1<;2=@<A;bKM1;g~I7<$44%4tOVLtxZ
ztw+D17A&JK!mZ*Nb{A3adz~lz#=`0BMtyk2G~+EE!K=kWEb5R9ODR-kg%Y#bxandx
z61$SUJGGW(gX>s9+8Wk4v4ZIvEoSqp=dgEn8tl#tWyVjgyEQW<SkP}FCT#e>uCc$E
z89{fGvpsk-g_wfKChS!s7Ia+|Fj9ucYf4a0{ABlk1;kF}VP{Y-tb23dN3-rsog8GC
z=OF(V<xre+vHx)%PB_zxtg`@imuN2`Rf0QBrT9`%j_C4A>f@`%BdI#nuV{e&;U?5w
zYC-O~Hpmgn@N<anTjXL?DE@(c-QAQ6?t#|XUOb4V*=82)5FN<JqS_0+i#_PoCvP$P
z0m+6=IPIkQ#4GZ&e4u>Qhh~VqX~d&*^$4Id&HLsma(Pu?`o1ze5G}!BVmK^3^5Oe5
z7t)5=ka?Vm49|2dY)Zp=q@p;LX8n4}$X}C$)a8jddO87!ri}Zhco<P`s&OI?mXx`7
z^Cpk*z66MGNQBV!BpB8wgS}2cpm7>_BGU13S{8nh`~JHZ%{T*#&|hAPG;%oPJ*`1S
zTRlE)ZN>?wHr&hZz*D*huX5|fOpQKb^at>fGQYPz4nsF?1idGJqrmnz<c|MFU(5()
zmxr-lYY1zd2C&$+57)Q-q<%JX*h_Tb%98I`xv~{oXEtF9e?6YnkP9@V0_)97G3R0t
z{vOCjzE%!S634G@^9`rUQZR?k#g@qlFw~2qS#b=~SAW6A3z2w6+3w7}VX%<<3@!Ok
zR2&IGZw=+@{XW4Z<`eaH(cHKw1Se}lu>xV#Z5BcAmndZUM&p=y9QI`=Vx3+J&HvN!
zIy@V1cNXBBI_-#NRbgabJ)W4fApaBfHIR=c^hH06X<w|THU^9637jG4T#+O($h|yl
z^d>Lsb>?LuS9saN@6@wH9j%h%T<q&s>N}e~j)}0}u;?3vKV@B)7IovAbq88jwZf>b
z0X~!+Ve=}W)?Q4x^?by?$tGr#I+(puU|*I9&Dn8S<n;yb*GAyU1kLX|g5mc!2#+=d
zpgz=(?teb`J<kh=IUew}al<U)Iedp*uuYyioh+TPMcWzI9y()}pbPf>bAhJbJ2>rk
z$L<8m<c9g+>q@$_AN&9d(NKImLA{e(;^0i5ub;H%P1;gO?u$x@@1fkBQwM??$l*`>
z4^wR}Cey~tj>rhIce%nWf!NS9<T@?17H1c!TgM<koH-IhS@=YZX-0}LZ7U&mn_OAH
z&hip(&Bg51$0$oTgi3zOgZ$}0&c9|9(0BR#*$T|gq^!MmE-niai`DcMPA&295sk*#
zqv15e{{-%HL9kJNPfQ_sVaLb=r{V&u^VA=hXA7?*HW(6oiGmvPCX|`Nd&n5x>z~2t
z{6oxpe+O+_4G^>MI+`-C;9tx|>|1bwIH7aMtkuEEWjeThKnG5{&tlQK^9Wdf5qkQ1
z$Qro`m*KnEz2g~mw^Nt0pB4HlDAzpA75l7xaZZgmy`oqMzovWt$}+?_w&3Rl>MI~#
zr+~W54rY+ke1hEdT8d2GT7?Z+O=D8ar!#)5=}gK^on5d|V~5`;v&c#XCi{-wL*kOm
z@R%4mQUzHjxziHm|H8;-5clqMV|HOH>YeNGF|QmV=L^xSosFGNY1C0f+5Az;txSr<
z(PQKSAkWho2Y(Db^&z)`2lmlyB;cqMKL4}FaOoR7uC_*|<V#dPdV%#S=8*Ygf~k_v
zk#WTcn?;{tW#41mFnoluj}MU)@(=|!kH|Cq1Yus!AnRw0IXg_z;$cC|GckzHZ?OHi
zBTV?+aoNic!;9&=N4vN+8Yx(QE)Qn=tLRMM2A5m?IHmj#@587+@D6n~2Tf*o)MT0T
zXL+`2gA%igoyt_FDKp-uQ&}qc<LAGWXKzhpS?`1-yQ417meQI2-Vc7Z_Zv4mt3z%U
zg8@|L{DA1~R;;*L2aWi07#u9bn-$qGIGKijl=(SNS)MgZBjB<s1XGEntjzJlkpo_M
z#qEX^$`{(^*rUGnHNL67g2%%b_&s7ucOYZD_kM!P6ZfEZ!~m}y$Qvhr5r3O>U^aLH
zd$o^Hrc)ae;`^}f&Mu^H+>UidTQF($Ch8hsXg>)2SHnS#8W6LAK}~xT&OF(QU(GvV
z5~PJ5?xP4$IEyijYj}L*0Xhb#Q<&QtCKsKcx`cYiFMLKpUlN>XH|tFNvfS@J<WgV6
z7V;_RG)l4Hi;7IQihKdo4|wOsEVi1>VG+7>Sk0eVOn0FsQ`tM66?>_$T=K~-<db3l
zti+lBVqx}9nr0YJh_`z%1Zm|S<mj~F&$@bu`&D4*MG+P@=HS7*bjVO9v2I!d&FrJW
z8X_R7`599_2czR*5C+ZsVOi{p)YINDSm+6*t?uY~{|<2nTrr{Lg53Acs5tBl9X)3(
z?x4=$G8YuDen%b(cg%R{i4ij&q>%IQE9V2w3Weg`^++t$r<|2=3R32gBPEwS;`x<O
zozg_Jkxr;|^kKF9C~|(0!^?t?CBzA`SB4_&pWFXtn&PZjNrIK?QXihQ1oNf8PDv4C
eQ`<zCEcIyYR25*4PV%yF;$e)NMj@Uui2noM;2vlI

literal 0
HcmV?d00001

diff --git a/examples/ode/DuffingEquation/Duffing_fit.mat b/examples/ode/DuffingEquation/Duffing_fit.mat
new file mode 100644
index 0000000000000000000000000000000000000000..113fb226be3451abe25783b3dc893d3802f825c1
GIT binary patch
literal 120184
zcmbUIg<I6!_x+FC-QC^Y%{=VZ+XA}_6q}Tqo`E3*0TomfyRf@EZ@as@+uQoC*Y*DV
z{(+xf`<j_&oZM%vwf8ynXw$EIo3`Z|*Qr;oN1J}N$9Z{=E!WF?q|dl1(<ikkH+9Mk
zuYg+R+D#uj(r4_La#JR^DA#wSPq{X}<I6RuU#@<`77d%UXwbA=gL)0>r~CioU-~XR
z^60hqm(!=qqR(uytpBf=%>VCqzN+ccWz_fd`XBKB?jO+e|G$5A&#i7&C!?|Xkt=_j
z8?(E&2w$1fB5u&V7Tr!2YFV)wEtedg-15ws*p}lirL|1wbGGI8weMTH@5|9@$J8>d
z&U-g(bz)<eRwoQ2TYW1qv(>&L5v}$fo6{<1@#U>r<lfrqM(UAPfj2I<TDjp#tFKkR
zwF*ed<QDf|ZnwP4in?uESl+Gsvzl&+p-tQdj%njIcy4#M;UxyR)p$AD&6stnTczp2
zZm;95ZuN?~+z#xIbqkK3>(;@N;`VF7ayQf6b#7bRZ*>bezsGI0>4;m60cYH<_r2^E
z?{nL&)vm{G8!EkVJG=RdoA3BPZiiAb8eW&qW~iE$%P^`}enVuYB8K==B@E+J%Njnr
zDj8}xsvEw}u4Cx1si7gu!)Asm6%B?s-*$$kH#!?K^z3Q4f2prw?}UK{dx7DGs;9>o
zBI73*7EPXN_-CM>!P+m_P`IASP{d$0wCLwB_)U*6?4KKD$Z>p@q1*4-2LG0G3}#c3
zVdS|5hOCtr8$8WR4FS(q7;5xeW0-a#&Ct62CPT#Wt%kOJb{Ymf-eWita=<XH%n?Js
zW5*4{d`}yUHP0DVKfh@BckNZfP5+yQ16}SKrdD`pxSsy0;rX){hUm+03_Fg0Ft{K5
zV(4@5hhf3---i4z(=q;229E#DM3uZ*2`ZnRT}^Uwqi1gZ^~#IOk)Nz93)19tVRC*b
zN>K3<1hy~5k7;Fiv$z~xE?3}hw#uY$U6r<h)!DqICLKQ3=4JhQ#LZ|xo$ZZS|Emd^
z+Bc_kR7+l5bEAKy)_6>B%cX<u*;}9!8OC-YW=A)A<?czt(Y>g+s}H#gxN~ble*%vT
z<YJj2oDUqv&?_StU4JyEqs9{Yay(-@O<?>|ZziRm!q8#UD7$+GNk#qGG9!RK=Vmgf
zMhKg%VU&GmWLilxZ8}*nO}A2UfsNwF?eu-`;Bc{U2DOeL+jtlIA|si!F^bGrqVfM0
z!=_@fEN>P^yZ*BY^oghGtOO>lP9(?SIsCpcm&Whrk(wcy28HHxx#9x+>n|j`TM9Ef
zE@FF+#cb%4N?-RSM7uAgSKnngdoHJ9rxoOPTS@DBt4Jxgno@bzu>AWPYTaMUf+OpA
zzATMjmi3$%wt<#SHqs%-Ca&Dv#O)QE=`w8#xteaJ$d9cI*uITJ)3(#0+72$=+`-WB
zom^?Si`qAL(LZ=Mol5NC-R3>C>#~<7H}|r4+&<2{-ADiF`*HuUpIs9V5c1#v@qG^R
zb>Bgfs~lox_#s@+4spEoVX7q@X2s*f80sG3na>dxZau=V4@am}?I^DY9%ZxrD1K>2
zX>>uq-yUT_)?;)md5q`Pk6~$ejN;9Xv9{?k3=NKPvFb4<7CT0sOvl*w@+hV=M;Wr}
zDDI}C%;<NNJr$19?DY}eZ8*Y<sYj?=>j<YF9_C2A+R^qf>0TY8f6O78)jh=eQwKRY
z@*r`a4^Yf<fbqEx5IuW8Nrh#z_c1^BJ~mkP^5n}Nx{ley`?I@w+ITl^^LCN>$4>rn
z-$|{s9i(O4!4voGJYKquJ@2;?+I%Z+VOz*~Xfyw%-%KesVGZ0!`;8lz{B%8qi?649
zmozH-uVZuSTC$y4L(@;I>04|ylUuGLX~;@m2CZP)yydjnx(x4gOUd+n38ns~a<ot?
z1*$KmP^(4U>5)R{F!{;k1;hl;r+h>*7ZQ_LpE{4z>*msQ#~d;oO2qAS0^csh)8_VU
zYCMkP(5qOAewsz||6*vGK8CW{qDhxGisywRc~Z(nrb-d?s~OJ222OUjaPYdV9dkDu
z;r*=S8D^oBr<nuOO=Jl*@}XcDooa_rsdEqu#sqT0?9Z-LUmQnf(C+y(GUS=c^~RIA
zHr$&6krPPT<%#*#IBu00%eH=_sTehqh9`#eCG#)>I}YJ&_#iTzA3&wz{b@JWorzoe
zvN}s2@(k%k>Xx4P<m*Aqly3aJ(1mkNJCk#9NA~9K!26JPq<v^Zdau@edSoDKlpEI{
zx8%-*7A*bTj3(x$Bo}PLt(A@V-KHVg@6{)Zu^vAw)#dHKwRt+T7B6bn<oEsRR86YJ
z<o;E;TC56V?^dGR%8KOjt3d6}<#CoNNBJLR_;sx`rFWOYnOc(8(Iw~-TAbz6i!o?o
zQ9M11aLKDM3#Js}RA4~{I}6Y^IX_!A<s<BDUber@!?1#R@NJcw-(I=+o}82M7jw`(
zcMeu`&raa1Y#h0s6-VW)9P!IS(3#Avt&*7mwoHUQ&q(=R88Ph1z_nT#c(ph^fhE&p
zo|lfyrP7hH<6pzuA%6^~f`1zlmi;pHy!O-ZIsZ?C)%`!iuf;zMgT8$?%y<88II!oN
z;ZUt_hQ-Ui8U|MVYIwHsi=lIeFNVMepAG)@&jv%I&xTVkKN*Ux{$!{${gdHk+fRmZ
zr9K&E|M_T`^x~u8{q2v2qBlMo?%erkFueL`Xq5hwVRzY2hJQPLGK}^6WC%_BWGL|N
zlc8j@&xZJLmHFtiVXw*`x#5dpXvMFF)eFBG+E(~xD3kWh(6sG$gX8XZLsrWV!-l&5
z8G;`FXBe^gr(wXjUxpzKe;dYR`(yBY^2adZ)L%pD;B;iYnvOyJ(lh63dUg)Uz}}}B
zSm=|H{#i2dI5`t-8fV7qVrKf!$U>H4S($zyD+%7&m{=-1@6KhXq$3Bf+T>(lx?BuD
zl#3sZ+?4B`hx4WLlHqM$HXh8!wYmA3Jfi?pdl%$dgF-AQT9`e53sd`55nkRX%Inj`
zsC`g#zOw|qww9#QmQs}5R+>7y%iwXiERko+apHD)GQO=q;|!JXC|;T24Xe<pS5>l3
ztwv&8bzX0;LHheOIg_I{?VHtMq-R}<C)Z=l`T8`^){yA7jTjWxnA!W9P%m9Gs*3j}
zMYQ0@#g-f_?Z&PN25#<zB01YIdRSYwZ*E7HoE_*erXybaJ29?Q7wQLfW$!Jm7q=er
z6|JAFy@;ONn_AcU(6&uK4zG1*vDVso#{k-X8_0|CgV}Lo2#dQ9Bk{m+!W)ld;+j#^
zsW67a^TtxDz<8>=Jh`1|0+qui^7)51Eqo{Q{QVT(cu%AGi|Onc>%+K*zEm0R&+A(O
ztQatpj#q-%-aCYs|Az9cl981UjnrLa!e^+N$t5flx@KX>Y%7L;Y;4G3XZ2A#6^st@
zv~V)^lan%Q!>KnWg4mKSnqG8K+!;x2w<sojh~n7NXqxtqVN14IG~79h)t<5BEgHwb
zBXNXIosCb)cp4myCv8#!cMB!5V^<;#htHuyhPgamGMB9F=dtwRJT`_UQKe)u-?t=F
zw#R&8AI+zIzyj*!Tu8V13yG|m!mAxA3~Mj!{dW<=+!u4>=3+VyOJ)AOR4xr$!lPSD
zIO4ICNy6-F9hULm&SjjdxtyNK%bA*O1$Abuz<6r~BigLw#L|^)%)E+1V^;Bc|0)_3
zU(JIltNC<zHKPlQ$H%Op^M*BS{;>wH)@vDKUCZL5Yblj!9T!-~o`7}SN?S*bhwE5g
zAdMca(<n7Djr_CIsIeoBaW~UA{3DIlMb>kx?s^hBuE%@OdPYoK&-B3cEVi!aZRC0e
z#jWRQ{CeVKBV*Uo*R`IB=Jl-c6IXezXRXJ2X0+A2HP@4ze?6JLq_O%+8nK(x*cY8f
zqw#6{Xr+4drD3|ij-F~$Xy7`Ev|UH3Z0neFdM%NWYst`UEq}ADCE~yuR{O7ET&*=6
zy}O#T(W?n>wVFTAR?#R{)@&7-@2q4)*h<{Wtz_%I6_gvi0{fTce27}kgi6c#v11u4
zyDcN^_EMY^m-6rTCG@v0p>Ccf3{OnueW_GlFJ8>h%8Ti~ViAX{F5=Ac6sA>5Vb7w4
zY%jTxi3tmMlzRcyZ1d^xGnsZ%ld1JMiJbkDcyVGL=bO*t)T+5WC^na}jyXhqPNeb3
zL@NB7z>sDMyiJYgL9Tf4n@#?Eag6K~N3->@EGiO9YRD`)J&s{+*BDYZL^GyHG#`SZ
z==mTLTgONiu5qzApNqM^5x8!KV<sH?QYR_dom`phpx$LWJDS_^OR+I6v)05!E3Gby
zdz)M6zsSs&tY&^sG2wUJ$oMu!*1Lx>zj`Q3{seR3auAKy&g8l^kW<3~DB8lGGe!LP
z{Mm=(%QHB;bvkqBP9syuRLYE=!uzh1u{WB;%d*~7%{`G$zr5)8#*+c}$4e)V!~4uw
zVvdgC+=0<F-ZzR<dq<MEe*~$Ahx7I1Fp@3~WzL-;e10kH_-_!eat$J({6O|J8-Qn@
z{-jLyz%$C7lWF}paj`GnKl-q{LLYYZ?9J4WUOY(qheD5flDkAtF7)lexLMsff36#a
z3Us4M|E{!5=|a_)o%tiaKkDqHIqyi_h8?*X*#XOo_SEjuo?C0$5u3jqy=S(i%+ogf
z?AL}@$6E8gWovS8f%bJ_&N>6x>Kd54*^RC(-6(gg6(#$%!tF^*9DyzQFJDXMtZBiB
zE-mnQ*_^=W=A3TaobLCV@hhqsw++pB^RX#)S2rbfOj9~mXiBL^O{ln{34<p$;YhP4
z49n7lYS$W5VNGMYnH#fYNMowEXw2;rjoJOD5l5di;>Wp0c<gP&t#yrXEN;YrxsB)^
z*ND+EjYyKc|KIm{jrfq-h`H<a?EXg7xY&sN&l`~~ePi;JZcMpWjcGZoF+(klv8t|h
zR~vIBQxkqPZbFd>O{l)O33YEZp>naNWE;?wD@jdp-fv2o>dlz#(~QT5nvuIub8>h#
z=lZ_pOfS}gD?Tmwb*Tl98@I%n)RM>PTk&~fD>h$mMd{9N)Y;|6{W=EfE;mr59K_Ct
zq>`<vwV*Za%D3UhiZ(p2*B0+RZ5iIR9eZxJBV<y0=4a?Yp`;Gn)tr4f*O9)HJMl43
zXU=Tw%q@>D6#LVKkQH6Y)VCYU({*RahVGObCB7=$lWnJaGSl)8_1t=K;d?JUw)JMa
zZy(+?>C1;7ec8RQAMI`KSbKOdqiBD!KkAQR!vJ!I4P^X3gXmg*Fl#;!#&U89CsT&v
z<3EhxUc<RwV+3JYM&kKsB(8&_xVvaH159IhKWZ!sI*h}k`gro^@#M%SPvNK+Zx2qO
z_v(q*XM1A_nS{Y}GHd%z;RsU+t~HI5#iz44>kNK;nZfbLKBT|w%lyNBL~Zux<dOh7
z#s~7lI+JU@L0lOZ%=7*sWbP75`4(Z!Eo`Jvw2{y(CN6}U$okDh$th;CJ~MMvdi$TN
z78doevhj$Okd`+7Y_w6gnw{(m?KlcLSmJcx@!P@tX-+0TadK=xI4P&Y`REqGuJsXo
zDCZ(J)<t~!NWM&sWZk_;#gtLx-W|oNs?q9GGz<Sk^U5<uIy8pdEoX5pbr$=x$8umw
zELSea@=dX8h52#x`V&Xc@Y$s7pUt*1@$3qYXT^<p{2M1wMKNvKiv)7C6;94eq~^Os
zp0=CAs5x^;dNGHH7IUc`F_*CGa|x<EkJ8iTF=F>T+GI*%cef-?$0p%@HHqZn$@CkX
zOnh=O9ygPjTXa4iediMyHJ@h3^!@jI9yeIPy>Sa@KW_o~PA#DIj|E(+vXEna7E&Z+
zA%~VN<iweURQ|Y->xEOe*EEIZ15$Y6m%@YDDb!q_!r>Dsth}GXjjt)V=UhaoGK;8P
zcM(p*B5HMCM2P{5=sju?7bh&z*e+tD-y-tOT*U66MQoCN30#C-*T(5yqMj+HXW#T+
zL=nB4pfbEw)&iATBiAAdeNSQd!xVCzPNB@E6z0rPY#)@usi7%E7*g0<I)!mR7vj9O
zkSd!N($2MzN23;!qxnL1=U&Kv_ZM(_(*o*SWPKKJuIvKxyq?deZS%1h=X0?0d^YEu
z&yXw09GsWTvmwb`Dw9n3y(IFaBr$$y67xzVvFhqP=Eu&%zuP=oXPU>)-E&EsK9^zD
z=92Hu98S%eL#*a(!k0t_FHgkFBax)ciG13ez|4^eG|rPi^<D7{85_@~yz#{EoXxUP
zv&orrHfJ`)@n&EgzUkudS{}>UZn3O+Ka0!>vv|;K79DTL&@3#5edS}gb2yshvC;g=
z5>3vPQ5^3aMY9)?j0umVSM^9ToOBW9>Ehq4E<P-e;C+V(&OZ(((GpIl3gNss;KVfC
zNufUuR?K%mO9u~c*ohCYGq|XomfLJJcegS4vz2Aim8BY5IU@dCGTov)k%gk0&1~&!
zX8var=MzkLG&RxSh7r#oBfm=<d1(q`<%v+-@`bW-KnS@~gYkGB#GIx<T(!)k)P+E%
zmJQ^_<N${6_a}RPf9{U<<H>gE-rT;d812Ip<&dm}X7Fb6bT*!v#?`9R7-gTz;HOhK
z-f0SJS5GEi-pTy%nS}RkZ>DtcChLZYG%q!goDmZ+|L`Jpf)~^7c=D;YC$&$Er&8<j
z+}=5kfsMzpXwz7>)*s9KO=I+1*tK&sV_J`9*NIVl=`)IA_eN56(nu=*9zo%l5&Wz$
zf*U)Avq|_D@p72jG7LkdVU#;El$_&+l0L^!GHn<_(E&qfnPCVs(gt&2$Y3hx9?X*c
zgJ|V5hz~UeapciJwk;gU$-x8pQ(_<<w+C=BWdJkA4xmNt0aW`Y3_jeS;Mo2=8rdJ8
zM*XRiy*~x-dr)Dg2SegLI5^FN-n~7@+0cXcMLbCN+np9q+*x?eomzX`d9>P{L&?$%
z(e8Y+xYIqzont=kjGgLEwaM<}mKD<Xmbzw|>CO|g?nz^$OLAw+N_UJq-5GVpodFNr
z8S&knfcze$)bikB7Z37zdEgP@LFzgWK3w#m&3_)us@R{~J^NEWxIaVJ^e6gue>UbF
zz@hd7*dH{2Wm^U??cD&%)f&k92?Hs)W*{Tp3?!)jAUypCQAy*oHrrr+^&L#U#e;eB
zZZQ6>hj1uP_EclpYA6?G59Rvnp;$W&<HC|*>`p%%w~@o?duTY{D~+I9_z3R49YGO~
zk(}N)lJC_<F)w};E7Omr{M6C>y*C=S-eb6Wcnn9HjwR!|u|!oI$I#?)Oe!><9ns@y
zp2L%uc2ACF^5VF~i)R@pP~J9yDOo3SI$|Pq^LmpI@6GoTljxl~iKH5n`FHbV9=lE9
z#)&B`>o=8l52mta@-(jhn#N(*bjFpO!LBtk*wM;|L1%rKH^P@GpM1Gu_v1(je;Tj%
zr$YMxEH{)Zof3#M^GwRjpGoe9LG(No#Lbbxto{+qw%8E9OQU)o3MJj(Fm`+jqkTss
zTjPw>yk}%dO%uffOoSgX@jjoKu8Iw3uQGGui<u{FEIf^}aN>qVc@ZmRr&)>GW93X%
z8#nvd*rYsc@8>o)H?VUh*v{r-cDm$q5I@jCOsa!suN*`)bYcloEP2?;fE?k}?j26j
zoN$uw=zGNox_d_OWo-nNK16V}k&CPWF1GA)ar2i8UqdA3ut<LIkL1zcNa_>C<B%x6
zi$f>=h@yFuXogRZ=H|L+Ry>d9aD^CZ4vFD*d<>V)h*LAo!r5XLt*0tRT{eqhH^i^G
zV(E)=anoYSo*GM)i?Mj8kK;z&I3^5@qjW?Z@3+Qr|9%{=a?B=QquF#HGMfdK*<@Hf
zn}Bn(`SWQuaYYs1wutA>;CN!i$KB`0i`#|I*W;Q0C7$v56KGf~fxjIRI5{kVSic0^
zqY@~*B!TnW6R;^i*zj%wH{T@?m@big`4U-JCXtG@^w}(tyzLY5>zT-<{)to>k;vrn
ziL9NJ$o=WcU;B&aXC~4vIFUXfi42f==z9-cbJM-5GZM))IgvMd=ak-EHXxC(fAn03
zM724QJau%hTp||=B(giB%KenU@`nkmKA*s@y$M`jl_35|pnX^ZiJl4k>ZLX+_R3o}
zfdiQmh<*`I(7*A7Z-{4iTs#GoTaWD*Ps>L7UND|wA7<0*>}>XEyoTFn({ki&`n8<R
znnJT_|0a&|N8{)yU9)9+98)^SF|%|W*FVJKIvUHIxv~725X+HPvAoV5OTgV(c&E+c
zv|_ut-KCLA%p&4>3|qIxFxVVJSkD+Lmx$q?C()!=%*RY|Tl;9daz``ds`9G~qsTWt
zifeVEX!A9a-g_g-VU1*J*GTO7#Cum=Tu642Yov?JRb1?U8G)Phn`K4>@l7M}`58`?
z{o$-Lhm)(LcrbgoFwV*F7$<G}ILT93+V7f!$w>~f4|R}K)<LC*cGfJl(_p-v-PP@M
zeQo1WnhobP8?74I$oS35y`5Gr2U~f9l|mV<j6G)IR=9<L9u~-Nq0tpH1Lv99sP#w%
zGnt=Bqpmg4X_|@SO-#6c8A&)~<hj#`{U0OKix?TYJB;A2VRXD1%7F=?y!#o#wWtt6
z%Z2c4b1=m^2UGY?5Raw@Vb2~!hQ%`((tIX!F9x#PTY2QHfgF}@-q<>TguDLC2=V8i
z(*D%m=STh#e*DSc$M@yFWa#co*^fT-o##Vp8z1t#nn7~H47#_OL8Z6TsWN{${klzO
z)6Z$NT{n%aBNX=*nntUWQ<Yzs%9y588Tft*vsX`{;J7K=sxXDO_b1bH(PVy)n9Q#V
z`u=nhUsg}z<J3uXYNqe$Ch_N#H)9gLsW#f1ZuPx6m(H857bfy&$wb!rPh@|0@p#3F
zl=wM;(U&Jsc>M(GyC$&1a{{Zi*OaZ=1TJQuK=wCYth?aF{_S3n;zezz7va;r=sV1d
z$ZlRVY~e+h8eaTcQqSb^qHIPlUVrzb>U&SlKKJC|Lr+HC^`yrwPnO*9WV9^urYEJP
z8Hzmc#P6vmEfvd;{UQzV$CF3dy=YuSyin1L?+v^d*UpQ2?q0ZiddUa8SRLoZ)m2{f
zKjcNt+g|kg=EaeM6R_8xKzy$WyqY?Jh&b`d)(OnHF@f}d)t|}}nbl*W^zlS;ES^Zx
znTZVjF_Au1z47(%=BV8p!wzrmzVs%w%p{zBClM7siL?Wgc>aA7%^FN*zPGf{%E`n&
zo=hptLE4BZv|pt8xIcxd6{hlc%v5YE_4#@#UJa&kAYdBl4oss;w&~RAJ)OeI)4BF!
zI#cV<;7-U4N}QfS#o|7E8SjH@yAKbu`to&vFNatA(&4u+fxY|~wA7Es-~A}q)1OC6
z<X`{!)30{`Z&oU2l0J}s2L_U3b0DX4%_QgenH)PflW(PhND2sIjdCoN>j#r5I+*sa
zg1O&0giFgqD4sc#b)!RZiR04BhfzQ}a?|}VI+QcgwU?1`Mk8}J7}YQ3Kl7W2ZDZn(
z){#%DNm|6j^o(Y{HZ&7B#>{{5X8ewtc`5#LuVP_~hlNZI3+=aCnD)$qv#1qkCo7Zv
ztu$R><-t`e6SCMi-`GaJu{Ns3+bD9_#<dSNyvo@*)zi**apU{db~aqM(<F<7u!iEr
z5f1uAIk>gcLFuOsiWYEk!p%u-FDLEeo#fo_#Q4I=;)3CLyM=RiTsU82!r8PVoV*W&
zMcE@*Q7?kK{UcZ(8bPsT5fnWg!Rq(Y?1f#}Tevtq%*6t;i=WF}JUro|_bV5jaz}Eo
zP9*#PiNv6|)NNKIyVpmu?QA5q-b7L=XB4(-QH<>n#qN<&*u}R;=0@SOIf{gTqp0#M
zipuGti7OV(#Cp-J?-b3jVbS>cMDsN~nmY@lsku3tyT|nVMl{o3N7F}fZhT(FA?0Fl
zs~5u(V(=1fM~kZqOo-u&UkptwF<gm`;ljKaYAlW6{<;{&Suu>-A4BcqF}R<N;l||{
zcHWHP^Su~c%JYSa2hP5VVdmQy%<p4(_92E<A7eNnYcDIK-yZK`c=I}jM=xS%{xpVn
z4`Rr2NAF&XVZenL;!nlU=&;(hJBG!ZVwkcjhNUSnv`$bN5ix8GjS)7)aAs@_K?7o#
zqugSJRxy;S9fPBE45M>vpZS;i|4L(_{tiDLjblr+azW8_jEd%7fW~2TG?6`{No^KQ
ziwe<r<c#Lqrzpzaj^f<mD6+57XKWM|0;0$?EDHa2Q3Pua3g?cZ{f9_$UWsJlj!4EQ
zN0KfylBOdf$=f!Ph>DS{$`r|zCob+Bb@4^>ywm2Q=2#a!+Pf%U(Z#CtE}q?s;LhF%
zqLL%{5fDK|j|l0+2zKU;p!(}@hMx#$=u+{VF`V6l!zt4=oZbb(>Ho$_{S!_eraGAz
z;^bU^C;7BLSudANK3njB{CA#wd4_`uJsd2n;-E-62Y!kPk8iS*Gty3nvC5|!>?~4z
zc=WxE=O=CCSYo4gu#J9-6^(VIAEhVX-M7+Ymz4;`jc>fIjO=LTd08u#9~K&4vha7U
zg-3ST2n*?3iX#hKSoqFN`BP?2E;TbJ%uMtkGwU0h`6V6e|Jp?P6DEEwF_FV)l7=%W
zS7>5JVH1NtD(`d7$ep!DW=0tC@H8?*n)ssjNPIFH*?uI9f|fA;wh1F7eHgP2hSJg;
zim6>FV}v!&jw?2Gg>bcJ2%QRsFzR|R)fWb{a7-{qY6i35QxG-x1TobX#N>a1s8%9~
zlqWN}x^X7wLTBRYK9gJ}XX5@cka4>LY3mB))sR3&)eU52hCmKn4Pech04A6M_}f2#
ziFE_mkTrmF_m$V$<xfh2KYge9^R$OQ18e%TF1xVwxgWny`0-<vAGch7q)zsuS0Ba3
zP5c;D%8wJ`?qV-}>2uK+zumsrmic0w<;(bBUs`zi@}Gy|=MKKKZS2db%D%KN>dVsX
z!tY-`H2L7en5RCNZu<~<$w%7NhlxjgV4resJAK%&#fR=2eYl+FL+5oqtX%8ECs}p<
z?y^BTVY3e%#RnDk`0(VQ53^4AQ2x9RbFTaF@qrKZU+bA~K6qqQTk`qxr?fANYx!!O
z`4T3rv16z&r>FR`-Rw(HqA!Kl_+mZa%kite+<xQBq0D{+lu`ei`q5o|9zV&CZsC4>
zU8e8K2hM-sM|?VedX)3$NNaz-kM!rc#h=*a{(Ly;Pu92ooG%bSw`KwODtF(*7Qp$n
z0sOkGG5;Mvr>dHp-hq@34#aOoAQLYI^55S;%GI99twA%X9zK(-J7zND*-R!B4dP{|
zAl{3wX0Ddbx*eo^Loh|#1~bPunCMl({C6jq>jgrnEdIJ15<>bdA-G<K5LiBxlLJBt
zm=%ged5~x6!dToqjP=vQ$h|g<olnBJp4Z6tT1HxQHL_s5k#aU82UCrN9WXNBu90ri
zh5bvIm?>Z1<RPB(F=>y_#OaMDx}G<2^{t61xy=-;rSk+`&G>qmsqZu^-=o}&crWO&
z&e>$Nkfnm+zSb7(!z~y>Exem=VeW2=&Z1a2`Ca)@@!+w>R%+{ff>~#Bj?A+1G0jSj
ze`T+%e8^^FUlkiu+Dq?_vJntw<KOu<((MvYUbFG*lZ`|9?2N2!=UNv#7020WZ?@A+
z`PDx=?Ic{W^Ygu(y1BG3Q`Nz*HV)#3IQZb_pjfPf%xfH4rw(f0bujLmgAw_hl&J1x
zb{i+B20GdIzr1X?lk1C|{MxS1vrfE~r``6`$=3YgcvcPPT&r-ND<0h>Zmk_8yc56H
zT@udLZMuFkoMX4c`R83Ymh=&fC>X(0ozW=RB!XuhBN!##HII*=lYayo>=Eouh+xvv
z2=;G^VDo_pI-iXo^p?(aJdfbi=Lqhla}k%z#p9wbE>&<bqPB~OrsCu_ig&xZ*xc7e
z&mk_XV_dj<yEr(*#fh0NVStO}4i~{uE?&pE_&Uc$(tMZt<zmB97Zp~zsH1(Y%j;Ye
z+Th~tMi-+tyO_4cMTxC0hRNJy+x7d5t_N>Yxq5Cxnv2G3U3je0d&^x+O;ueBU1Ugd
z(LBLL-dQee5iXLgYGbH)#NS2gR2K#>7a@w3h7WY{q?e0)on1UIxERpbg<nk<Ez9fK
zA}$W(bYW7TU#ssKUqomuBWQA7<8e5G^4lU<uu|ia6v4{K2%1a3giMLRZ-nvyy(4h8
ziC{_n2>i=OkSTuz-O@$SL-Ua9ZaB^};T+x-&fb;b1SE#@MY+kw)52*!EL?k?;lzo%
zUQ`Sxd%kc!X|7j3b5i}16aRfq;#WyiNn5#vIdwKp9M;c?r@@I|H7A3mzl!~Gu>OgI
z^5+~(*`Zi&v4f=%4x+_x1Lb>JJ2;qE+d;k}4krDvv+=2&yJziu*(QxAzkP1Eb8NDm
z*&cR!iSzzewzD|5eEN%xBe!jIIwGH6W25P88!KkoD5!N2+(ofrJsVw%DWCFJIn!t2
zz_V6<ZMEXFz{)49l_2q9F0HebEv@vbXeDz_t2B;<WUa-}Ll$PNwh$C&Va`mg%~2Ne
zcav6aXyHXkUC(5p+8eEJ#go_enYp#X%%53W<1@`HA8n>~4_$Af@8!%S<uJ2Fx!JFG
zO^i5cQvTV*#)T%5!cD9fj(iwyVq`ZH>6EuUTfxM?c})EN&&cp+Mm}FMvR4?id!3PY
zNk#@LF8$Bf$feOn9`}~+Zf#^s9r3I3yi;-+>HaN@Mpwg_vo#FAgfK4ohLPqGM)qc5
zJSiSVyI-MHzW0Bc-hX*0FCs#DG$oX=?x9R;8A{d)p;XTv%C+|)6u1$>t%D&nSff}V
zA%t0BA<Uf+LVb@AhO`Z#MBNa)ONG!oM+m3C2XpgTu=HOrJB|kvz9X3T!sNHf!B`bn
zY%&ECAe_GH70j7o!3^#fjHRpMjW*)<X2HbP3)X&~epd)4V=3J)5=@W$!t-3g{K^*0
z&dkB&$*Aw?f-(OMV$q)<JY-8{;rg99y|_U4_v^Xedj7oLYo_-bshlGvgLzgynEBO$
zc~m!;JxznD+*<W@31)epVD=6PX4Lp#;-?4GCp4Jkh+wA7Q9GBa-J60bcTn;D`Cw+<
zlf4V3P`VIG<_}?Mg%H*?3ZY4-5DbGtI6NtYBc>4AB!<vbW48Q22vJvcPULk6doqTS
zzGNsn8-(((YbY}nSDAuC`J52SrS+kdIu**lk3)I-S6Zl~at%$xaP<wN{?ss<Mum~Q
zI*h?5G^bC)@Xer@E58x%@<yuGH<C+x=Eda;Jx3Z@J<Uihv;0GO$c0OcL~YUMQ6m?w
z8mau;$lM=BYUDI=tCWdVbxh1|ZDMX86FbJp5B*HElTWTqHt8&&i9-iWOuD4+PsMlN
zO+3sgpDttOc6~GN+nXscK>j|_Oh~AiBe7-*FEcZBhnY*K%^2=UGk!EvC5uI8axCI>
zeTw%g^|P>YyoFjp7Sf_E)Je6lW~;8B6c64OKfbpxNqL(yMXXe)VP%S&_6mDhc{bWg
zKE;N$BCIsm`fa+wO69{=GAK?w^IUrNr<E#sY-}xOqfSE`vpU$g)!#<$2{x)o6IYJ5
zk$sVk3)*iCRvek*ijBahHco!C@gtj^Y$fb`tzqY2OFLfO?YtRcr~4$k;xs!+QTkk9
zr`tL^&-U0EbjHq-TYC1Toh?7?1Z8tjxTphjWd{cpgI*A)Zu-Z;XyvUQO>od4z`;K@
z2QA_pd|c?jUmSa4yMxDv9h?>>2H$e<O}f9;M+aTB_gOZZQ~NqjDwKBePgUi^>Wgbz
zI0<U+<UkMcu!oa*+Apf*sT}ZBCkq3dgczNabvm&sf3_ykNx}jrZFB}>{c0z7Hz>x~
zrah)TPCg%WQth~t(#o}6I`5>*6=C-c;rJaVbsjib{#efo+poTK60JBT%X=q=k4~C=
zcJlU%Q<^~MI=(yQM^1YGr?$v4i4XqjbC;}%Y=-Vl*E0?D>}I|5RcD@lesFU5os%9a
zGf8EyRvjU#tB~rPth%GrhN)^xu?tRYYTFLAapNIf+pG7bGumx((toX!hRdZnQk-;{
z=Oj2zWw@MlwyMp+PViMcHOa}Cu}*3X)fkG0%5+zq?VNOL;iS06aeGxKRm!Lzg`5QB
za55yF+VIsuigN0I?>mH@+J8Ikpqyf`>suUnu5xgGfrI>-yIOX|V>2Cmn&e>7NC(y3
z9n9+N;EML^zSnW^v%EuRvK*vlb<p`gI~QKtal2<H>Vlm^hwa?nDqCUa$UJeGOa3I^
zdLv#79HBf$Z=JhtXD79hoqOW99E$5I$uDdFu<5*rjRLo9ygzN@;2s;cbv6tOZM>FG
z&yxPDIaQi)gt)G^jdN{m^lV_`L<K!lP-ks2+9;=e!|2CWeqOfXdDO}kabUaURyHSU
z%{Z(q(7Gz-X=UyJt1!{Zn&wu}+PhW4icy?c_m_p|uPv;*BVIgfVeozn9X3e6F4m{`
zafro&#mB<#u@*A-w=lA^Mdyty^r<PXEM*}fj|Go(TI<4t($c{dubOFlLV2NGW=^d&
z(>TS<ZsEretC`~dW<E(fzZ@by{YM(Qof)%u^iy>+*3x=5zs?e5HuF<>l>d#1E)PsB
zy<(!`DHF%`nRG_MMBqvj5erNlj5BFXm{<~GqUQ|7tzITdiEDMh8rT2$wylX2>3Pq(
zie0Pdz0$(GLMEEzGI1rNiA6t^-})r(eI<;2Y$W2gk;Yey<T-1k@Nwn9#LMe;8Zm4(
z@<%c6o8?BG;T1<G8@ZZb#4<}9?lLmbt}}ury%S<&Q-BepkK*L1de>X!dKsBNRypQT
zM*bPDeDe?^#|A3i=x-#wyYkR|jHDB`cTq0-a1SGsyQ|)AibWKsBy=&7Nw%c3;%u3Z
zY?&;JuFaJV(lg!l>?FOjPw%2K-YIW)R%PDqC(ckEHq}*Dbv_%WxLy2_UTx{)Y2^Gw
zBSBM)^qryj$KOb}_L855seY@G^5I7QMj6RA+epi~s%wGD5Z9brseY!3gTy(PcNwX2
z&`65L35{14joYVN`h2AEdTAv2gOSqWqQmJlXW0~2<<p!MGqI<fiG0;f%F&uA-NM9W
z&CwdoRcb$R)KC+z$C;F0Gm#c(qNT;e<4EyXqTXGkcUGI2zs1BE`9a~6Cj7-+AMTj2
zJQs(3GV$uSi38cptSKlHkL{OFJ#D01M{Awi>}KX)4>N9~%<P+F=AS@uocwW-G~KZI
zW@@Z7lW~ig=ljjv5Wii$X6DW#GjEkE$^J`vFPnvdg)BssQ+!v;LU#FouMQUG_qOn6
zsD-u@EF}3^_+r+&h_SFC*+Slx7N%^maQ1-s@LvnzH<X8YVxgrpXv`lA_i|XNsd#Xj
zwCSe0R$fb|mhEh%n>6c`5z@2LugL*cQl({66eq^cx8lFjO7AUN#|Nz3J#A&yH7gAt
zSvmez@BL?$KC)3UzYX6~Hnvr@>FkM3=V@(Zm0teYSDZP_#&R#6HSn?VU#JaBxQ#E;
z)xCr_vsc>KyGa-$3_5;H&z-k1;iip3k8Lb@qx`J6bW%DyE3-?l7f`OMr1onn*_l?`
zPO&D^?9%QzI@#&>kDbu|cAUd?PkTAdr`WmgXJ=ff^13!Vxx}|M<Ly*Uwv#T^&bF0y
zI<L30UHF+^{9E;qooXlSWLAu@=aQYC%8Tv3YbV2F#k();lzD6C<45JjzUkRtsz<rA
zLzx_07EkY2+-uQZYFXiQyg2(o2?trqILIXIzFE<MQ@OT0)g3w?>R_>AlC-)GX4iMn
zOT7N1k%Qh%93(V#u(6r)a?Kq~Ya#9z{?C#<lI3ls{GIHbzAus0lO^bxOM3Q&-np)K
z7paUkjUDV!nfV$xFw}F<LHtprmd<^s?f}K*&nr1-SV8fT_Pqv`a?rH6$}Ft57ZCsC
zanL%a126H+l#CAg{<Tx+r}l}z+Nr00yWS`#_*^m6BRf|$E@>K{aXN$fN8{yxQoJNC
z%C*l<^&J{V<rA~7we#;XJ3c9jt>)U994Bofe)?gxQ$%x8++SlmRquJ~jMhl;(jYsl
z`siLaJKo}~H7)I2YG~(4O*;=N+Bu<lPcCR@U`{(3GfF@GXQRwVan%cP*nRQRbsItF
zY^;<I9o=i=;uhuk6~7%wwUIi{hTkk3ZVnsYLToIPA9kK-<Niqb)&RZVQ~7^syBj(?
z)<(X&sG5!MWo&dQEdR`@{ekrI!|zu9k-uBTd0TH<d3auN-f=69_F5UV*-GdtD~nUC
z98S<aq034(vvj4_QSZrC0><dxAS?e$bN*JYw4U^*r_S3ft1b<yylGwO(vVzME@rS&
z=ZA&ZcNTtW%}$keeREMUqjYRWt>=Z?w70QN>wSrZO-YIuV}%D!3k||7R1gl7on)cr
z81d&|3zPd;SkcA8`_>k^G_$a|uDG(Qg<WMV3@BnDoA~o|X6fhOW+JqI;!xZ<_lcRk
zcg%cK{MqrWnbpV4I=7)XbGw;A8_X14W!4#a;Z&0FYPOlrk!Gse%}fu|wE#1Hr<-{p
z?LKd;nNh>dbQox+U0*YU6}LurlE!bNYps+67WaBd?^jk{>vt8!yXDPf5D(WaCjJ(V
z-p^xZjN;qOSrh}L7hVculYS^i_Qk~W4<=eEFP8RFn5})*H;+v0x^H5+FnPmG6F07j
zlf~Um?G@!w4sG+l!tB!~1_`@|95)ei)Wp8SCdwQ#vEYF4e!qzydzEY3W8&g&mAA`8
zHJN#*iJv<Z%gDOQ%E=1Ls>_DR(qv`zOqy)S|K8EN1yn{!mDN^U;ZV6RRsICklTGI}
zj;P)Rs(-fHv0UxBs&-XW`y$oO0&4FTwR^hS-(CG^qyF?!zd{uw9erV<sx--x_a<6=
z7T<g`DKDn+_^TKzqv9c*bH10;Of}`v!wYE~i|b5?#<G?6p?_&?FV!@2u%21@KQj+n
zD83Re4d|dbRX(wDFU_&Lnf8Otd>o-`<5Y&XnQ59wZ_VdS#b8O|t1}U1@=8mMo};rS
z3&dwj%^X^7rvFCOA>Y`rPd;!|bA854g-d4g+?1YrU?%r-Gv&l(d^I!Sx8_m#jR!d`
z)GjD(S3<m0-a_~47WUP%&|E&c2Me7#S-9ELf{%xV!ozfJtOYOmbtzwq_FuI&tm3*z
zollFma9@14R%;<>jmp_9|KDxlvvMq_PRXyeZUU8a>HW|`^_LdXiT|!@ZLLnPwU*tg
zJb;yw#jQLoXJuVA@nJnH^_z(g5%+bn()S-Le>|)#8D^#JI4d_NS()f-<%`Y%_=_7q
zXpN83{>P~#E7eo~Z~dR#pnU2MD{b~$nRHC&Z<Jq6l|Ei`%gTy}R_460GV{G~<eQbE
zf2>@{WFtiQQlfxxOF5;gWo^u<ER3qD{F89V(M)`5uyI*=*#}*1-03Bb^stdK#Ku_V
zql$Uj*f~kh&X9%=(0-=4HOOLPm(#|RDCKSAbQX4wH2r*G;$od?SZ<@q8XITV>nxD)
zao-N{tgy1*K^vh*ZN#3msm(T~U$D_yvFx|&HWF_OXN9lPk8C_uY+FTfLr?MYu=h4R
zKG|seRrP$gvHGXp`6DhDSC<z)duO(@Fst}gyuDqRy)d_~<<-6X;@1Lp42A5hD6IIn
zh@D!+bQY<&Vq?Y2O@#AVOWD~c8&X=>FY8`L@5`>qzR7;eUdr~#0%av-%k*3k*<`)9
zPGwwHSr1j_b(OtMaZj-7siFD~h(ipjf2s1>pYrIM+SOI<>#KHlP<zX%-A^(omQp`z
zsz2-0ui}cArl_Cm)!&=y_j~pKy~g48Gwp{-r}#dQ{<*8ZOSiPUra8N0Q*Ot`$TK#Q
zPKbk!Xbun9gfTXbY0Q^u?5A!}jJ4Lrl@&H7FVR>pR2@m;ngkp5VwFdTRN3OIyJl%9
zaaQ&~nRx5xWbu}?)Q&OIQNzVogKT{2XJelJE~ue=<e+?|JvR0<w^5^!=Ch9GO?=j*
zqH+|a<u65Typ>ifkxQJJ#m1m?s#h8=<g>W#fBg1bzARszep~x`%7b)0FHSn8ziT{V
z<%PKJz;-L~8?B64qxG^(@!vvm-dro;aavQ6%BR@HV_{Zi2Wkz?uu@R#=91RWY-!7W
z;=m%(nKye#TWXDsYa{NH{`}cU>!^-Zxir;VL7K9Zm1^R|9Qmxg*IK=mQTdqP77l$A
zR(!B<;FWTx;>YXvEWDMz&2`yAeZ`Q&PFR?&^?!bkg(5lwFm|KPvI-l@ESC;mWZ{oE
zGbF)6)>+EOMp$TJv+!8lnKV=Jr|_lPRP9$zwD3%rb7O?c7mq#`4*iziuGB+XytCeG
zXW_NMqS)WUj>bCsQ{TdVY4d^AEM%ypc(tsst)$8;YN4HQu4P_*=2SeJ)q*Xfp8abk
zhqV2;@51KKX8L?E^HAJteQBnd&a?lK{=a%(`#pEe`uhOIvWf{_T{ctZqB!xK_*ocR
z?UZuB$IUbq=H5Cayg#6LLKxg?k6C|%V5Z>?Gu^kD2~cdYW0RSj!s+Sj&AeHsJ)^aX
zm)EFnarpwpA3-b3Oj>Sc#xgUJ!u6d?bgm**v5IWRV#UU?V~fm8lvR|yOEGg!c35^w
z_C!`l*F9uwWrg*8tgO7=KO&o{^4h7~vMN81>dB}2Dy!Zes^1|FxvaJ{RJ)d@sbA6<
z`_$HPo5dSj)o=CTg!-~gecGnJ9akS;957Sru$d9+`xcEsag9Z^#-yOeX5|HytFg+U
zF*|<4O!93rq4$(Od?-$PV#XvsN_izddn<nWXr|W}Gb=O?IW-?4f5l}PbY?`k#qv2U
z9LufqUHP?#R#@Co+`<**9JZCSkg7SJr@2nnoUasb9cX0Xp|~rLo3xqEU|Kp@I3wLv
zMjRF(4R%ZZ(@B1`d$@(BW2C=4rO(7?*QQC|`B}&pq;lnhqs41Q!WFkgS%{3&p4}XA
z+<f_;{C3+iU0ZEo+<Mia*sk(U#e(}Re2}l-I<DC8jD_tN)Sjzq*DVXP?rSgbiF{qW
z=PNBa>9gJy_YMCe?WeWWE1OkkOZ2yd1r*0A7OblER=m8G>{YCMQ;z15;=(gplbe*Y
zNibOPZ6_Vu*-8zq+dsXnoE0x74HiCVO;;Ri6&{J(q;tDyy?^mn{3woWVbZ#{>8xCY
z)^N1;N5qvM=4j2&*Y!nKnh84+R#|zuPG<==Sqa>x+|e#8kM~JeA68w`)&|9zozKZG
z>H9VDtavoXJ=G_CTJuzAd0r|e6=og(AUyh_y1$EGe`z1)uayxQg}cJHLOB$7=C+ZL
zPy0CqZ9FWZ*t59e&{8%&if?Z#r?o?zYZpd#6z_hoZDW2t8x0x?D;w*xnSQqrKDYWm
zTs60`v9X<UzKRzfbW(X;gzepI`g;)@5yIe}y=`RZt34xOaw~E5!T#Dq8fas||8RP+
z&fE_b-VRfHgxzaKsH~CVesOusXdB~%>9xkHOqp|>cz3+GLRP|4XD?(|Wu=7uePjW$
z7+In$O6DW$CMzI2rRS#0a>!=u{ai9Xm3KkqmXZxnJvP<1MD=b`{hQQ|C2EgN?HZu=
zl^$Z_lG+=jb{85Ty`g@Ta<^&kKw3imqnDml%(S<=jc4MVOkMO`CmTgOC^xRL`Py3X
zmqBrt#%!#{u9U{`xW;mv#`K5A_J8L{erc?|tE){_#DkS=%q%ZGQbyxkQW`_^(@pa<
zwxGCG^A@c63)DP%XO-s2r14B|Bd_$+UGdhkZ&pT&yNb&Pj=z!al27D(Cf)T&{B+;S
z&fD_E8;aSk$bT-%PtRKUdrH15|Jo}*D|kS@v&YH?>9%iMv=1O|^OH}mmv26nj}}Um
zo)gDSNK)P-QENgxcR~LAR(_q$VWphKN@MX|=OD#_^8E=~0|8U4*d{7>GG3fETH0^8
z_8YWbcK5e(w6B$O(v~;7DNgL9HPKFM3i*61?I$+V9=+CG>v~q)YgzFYAKEG@b}XkH
zODXw%F)Nu0E3V9MrGIX#&V{OfnXSB&rmdm1?e(AXsb3WzO6#`Ox{nu6zItY%^JD2=
zVL}1rT8-k%&sP*5Ueq}Oai-sCotZl!Ogo~pI|s#ido7rEiPyxRZ=|WyHdydqr!s^;
z<yR;UU8?KCr27jj+)k377f!v4*B*;7t4fS;OWNEl9NVY!KbeGS{Y)w&RCP<c8v`x;
z5atE@SjaJ5SUTnZu<+9a>3HGd)Nwj1G{!>lQQ~Uh<=deaUJ5%u3{+VI6ythG=l4_j
zeJmX5r857qFtLaDzMJ~nRao5FLf1}en=shiUYg*4TrEuA+*)Viu`u4C_PAN-(aJ*K
zmeL2}aBFi5>xJLXnksgd1vgRrAzp7U+uca*k)3O3!CO{DcBX;yXtH6l7P5-6VzLsl
zYO;2+39<#UJF@C}$0U0y>#wpd%Z94#kFwdStF`L<A={@mM5`?m)TTaaTL-nVz1rGS
zZ62ex+ti1R>dW)C7HX(({_5koj*9)&=SAY1Vj6?w?rMX0XTQc}WN!<(`&u~MPn`6>
zantyf9i+U1#`B@Z^@7It)JXMbw76)j{A9dzk>;V6w}nBI#Uau{XQ%7$&V4P6@|V`p
z+!fIr25T-~7}bA^#>u9>I5l<=;yUqG-dXa$IK^BE7Jkmr9-RDR<N^z&<uCVAEi7NA
zT*gZEZH?l&Gz;J5TQ@eV@7u&(J1r#c5&!Q0zkTw6qw>uY>ZklONPcP&zeQhG?(>>_
z<)-?0M`L+k^ZQ7?Cm*lyQgii2?Rsw^?33cZukw)}8n0g(hjdmNWVA9Mi?prQ%rfO#
z&g2zOi2sU9XHr}kp!F4AR<WS;=lRN7ms)%IwFc|em9A}|d`)93Caur8E%l5+>rvYE
zTzf0GwT7Q|)j7BxdZ(Ap)o6Xc6F<HfsB_~(gcVx*`$t(>HP%Xur<JL~g&vc&&p6G>
zcVWdbKV1)$Rt~mOAk4~X@n)Ff%i6-0E8&VYrKt<X=>1q>Q@oW!!k`ZGtQ<@hZwi-|
zEwYk(iO#qRtB$Wwe^#q6YlS&!;_(fNGdF8rW~-I)+qIv$Q~0-AF|Bm`iv9XLXeIHm
z`gK$odfbZJN$GrX?$tBmX5nPF^J?P-Vb~?@jS4?cUbWKay83iO`r($9Ew@$vUB%A#
z)SmlRvWl16KT?|?TUqo(v4S}I>NDlao(oG~XsljJ=fAR&_FCt1h1CPziof3p3uTe-
zl}r1e*g-b#qsCA+`IGt}>nVI+FU#^p<0MOzot6EPmHR4umvxo(l699EWL0FDWY_gf
zs%(_3nCz&^@sy>P%~IJ#WO1r1^Z)8o-DlN~O0sEc(-yVwt=d^u)=6z1r?v;H58>)d
zl=|dU-)5?hW7O9U>T?<O{p|xQ+cXxw8k1TYn_C(qv&O3YO)EPzcAc)tZ>}f@a9Q(p
zQ94NDn|e-d)p!rrxNkmXC7tG>qvpe|dD*Y|`Jj0!eL(ZLPyN`VGbYkW(L1EGw&~q1
zR+etkcyG|$rm0P9rM2V(gI8)kms=^ZR6e;_{Z3Kbwm@~rZz{`wo+Zk6;`KYuO5s^*
zOO$xerFMpEp6wb7`CvY?#yw1a5Tf~;sd@vf<n<FD%@DUvQ`;u%p11te%gWI4dS;9j
zFZueL;qvpLs&|l;83VM=+!fdL{lE1wrKj$9Q!b^8)<{SBWqa{p8~GpdlUCy87CNWh
zRQ+tM@*3!VJu9zjtGt@x=W1FTRislZ$v?|WdzRIBmD1RkuyUiQ_Ad&HlMBkP^NF+b
zsJxv2$C0(OTDg`<v26x%bvo7iTlnx(*d=@@^-b9HS=jVZ=Wv7_ZQd&H^jaMELii|L
zS^LC7oG>QjfpqjeVWDtm$SuWpH!O@07EQRKJkup%)Bp7MIcf2K#aqIx5~qZ@!Y}JF
z#jQt#QHPbQJt(XezJ1#(9un5=*d^Q&?#<qAA*V1fe2d};;bGE7<;aAM$Ayue>l7ob
z6}PPx7OoOU3qSu`u6x4L<fXc{M0hQ1?XXz!g>bfhia24R;?4!Cf4;aQS#1ywubn5p
zo+~_;^_!!26UD8<={B-O@xp$Y-|YX7w7Y<+s%ry%ZwFz4ji?BUg`%P$tho?7u@S{U
z#R9Rr6H&1R8ymY5SaaLm-Q9)VasJOe?;YcgGtM3Nj(fjv{06VM_u6aC`NW)SZ;<Pz
zen;WcY<egPV&5$G4#<I{GdUg_q7XjJp#Neo)?z7^U=?=YBwipVk2Np=+wl#xINm~h
zMO$9y7^?HyyWz{Z96}4u>kX!Jo|QT0M_9o5x8gbqa!pULhwGckb@t(UTXEe%Tz^%@
zp`wfj<KoBo)McF7F<yfiw*<ydC(-j5OIOA<gnksy7~f{BJ+`uE+Qz-{?W|{*i<n)E
z$!_*d%+ZN`Tmy5qH-+Ofhsm0Le}G=fymn!Je=^VWnQtHF{pLyfK5<Z<c({9x`<55D
z4}Xbu%oTd_Rr>jL#_%TdK`cGE!y4oskEfrte#CwHC+zQ@(N~GT<HX^H*IeIQ&OMEJ
z_`n+H6LbBA^ZUjg@ds<EU#ypYv#$HgH4)#BiSs+e`?W08>TJC4U`O3`;B#o?#4&Q?
zXdXTT>dbwceDsq7)Nb<U0C{9{ooMP}6Zsus6U}6DY%jUCi=5k5hW%DK>V?-ta~b&<
zPhQ4Vp`TQx*88&NC1=}_yA2e5B9Occq9@g2KUSOCUYB(?xxS2?AK93iA586NMxIg+
z?zE(rwx+I7BkHuJ_k^)Gq;AZkel!nfP27cZ>`GngMm_IAZ=lW$kEG7_<~*ZWZ}+9f
zP=_W{kMa$oE>W92hfXv%4CCtv{ydV}Hkvi`81|rJCz`Ftb4?TIr;|A6$y{d)wIr6k
z?NshhO{4Em=e%anPi9hgW>I5jbM4f}GjkbJYUSto>>c8%)eArk{fm!_SeH{%Pb}ee
zsjrilO*F$2sr}0*nqQGj?H#g`duXdz4`AwQ?s=_YP7tw{nuhU7^v-oW7k|-rJ$(a#
z)bT`oL;a163vQyoCVCylV>2${1F~=Co;FINEXu$Q&Pa!+Jmv_NqAvoF0f#u|NL0i<
zUTZQuafEYdi&vb}Kz!#s2jd;*9FB8bgAWq8rcYd3eJtWypK{G*5ykZ<F&1|jlN_kd
z_=Gb~;~B4IjN5L;?*wCcErGFNTpu&OGS2rH?<<V^F~)xv^RSfp7|*<PiDRucoi)ca
zdO|GwsVNi980N6)WafDi$C<!9GRKX_O*Aty-+P$*ZlhRN5eF&5d2Qk%6Y;T{IH^Ir
z+$L@Y^k>eAp+$WdFJfwM6!-fhS%>u`E_%@0y0O=apnr5>Pu7{S?!@tl&tt@?3gi5U
z+tQ(|kwUn}*7PT0I<5IcvqLlDhFJG&Lf$lDE!mJUuFqPrF6Uc^xFA1D)MVXLgFG>L
zyrKsOFbDn<&4qr<i!b9>m20ZPxmKQNZt`Z{$-PNl#9TS<Z<J*nQJV4aBt}beEDz?P
z1UchIUKZn?sw-=dBE)@R_QZvFU!wqD>5=dA@_lF4PI)+1ZhCw!#y1D?>PSx6lXrIX
z$83yuR`M(hxtobKLPo|j1M!`Xd$|9&M@pU9PQ8hs?zsHqeU<O@FltfDuk1spOAn||
z8$V7khf}K>y{E@fw|-N<ZqZj$sbwozt52n_4S7L-qsDch*0rI}wx;g2dCZ@wfju9x
zr=T8AyH78nHp+Tm>SShApk}te#U6$FdHe=@Qq-cJ#$KCXUZ%FXVK8;}{AKntm_gnB
za*@3VE>VZ;;qZBCH%?HSo8uvMdJuA8(;4=$_(uI+jn;6)NqYKJG(!=*qsAXWBF3OA
zn!tcJ%D@w4Q5k_~j-Hr=wK#)sD8=!@5Ra=U$m@k;3(|2eA=rUDoZk>UKoidU0IG2v
zJ5Y)1+5?m8JcIUJ_b0?L24xwKvlzhG6k(iBV-#annX!9|jf`b)#<VhH`v<2O=f#Y9
zAI82ebKu5Yq-RbZ<0SL5gLzuUe8n+uW0}9f%wr$sGx8;CqE~!<&7a@!{kQ!6JNkDT
z$9vD%e&C#mjcde6+GlzfF;j}zsq>xvIlXKu@wAn=x<-8c`@<L#Zz06p<n-h-G5CU5
zES#AfA~q)zqZYCHH9L7j>_$3JZ;0b3#IqZ59Zq~NC(a)@v92ZVJLe<!$${tOLK$+R
zH@UIhh5RE={EG4(2zhg`IC}x|sJ=Trj-0wkZaI@<A>`VkGW0C+&b2%_K^`Vnpl*?q
zu9c|y<mf_j^{Nj!RgGRq{!So|Q>v4%<a8;69!ZYJk?T5;H86Q!xF-7n>OjBR9J>y$
zO>KBqk2>Cf^J~aCP&c|YW`EX%zo(YSXI76=SFTfEp0}VMQEUFSqIXbx9NX}^)S+C|
zqa5ux2DK?YHR>x~bl^GEtRtP+dxg_SsAEIAa7|s=b4Bp@Zq#h->(2h62X(F|d!Al=
z59=c7g;CU(-qcIXil!b>E7P#BFZHJ%>ukvHdUYAVdK`5J@_Ohph&qiv)Y~*f4dIw*
zJCyng-(mD<WEswD;0TJ0V6T9~$Tf1J8H#1N50_D#8>S)!&yjO9_ps3deGr4i*oeKb
z;qZUtzvX-Kck&o{tUO1aE60#y$uZ^F)6fRR@r>6_LRYxr3g<Q%RdAnko{Z8s$+bk_
zFV{8~9@xqCDjend>*EyTQ5OdpA75-@yky*B8NW}AV_Rs(wJ1h0#y1%6ikQUM-(Vg*
zF^D;_F*jM!h`Eyc3g?+SN7Q2;$1$gSncLUQaS=3TzK1jKYncCY#KD&i><eMEr|*Pu
zPoy3Ft1a^%N`Gs^^Fru9$lsbi-ipVyWDnkg#}ao@&A3-j98Mx0XGvTVpR0(|jl}DY
z1{|Y4IY|slEFU4Jj}zM`iSbj!`spAL_os>fQ{=%(MgKSGr2#zFpLIxe)}ek}zb|XE
zYV^pe9M6ZmuR@=#%ve_9HN44#il_iD{#>5#mt!qamdBQ1?#NS{C&w$rYn1$-_j0bg
zGfySR12=N9IP+7Cd&DSMl<{<B9*U5!F6?0o6MKcofr8YH0^D28&s^vGpFJ~2Ue<8V
z)Ey_*40*T@l$+Pd#W8cTo<v{{V#$%`Ik1McXH5Zqd4V}BJLi^-xy?$9VQ?1CF*D<f
zMwvKHMq(}l=YZ+yS^uPCU4{kJy|47y5TsBC-7t-s_>J1w4L7KhjUo5A6jG?4{?OFY
zS~yEx4aE!k@o?ls67@C+(x1np6wXtNhr<&$sm*byjdak|>oKSadt9T2uZFy*R3F9h
zo7#R0DOipv7=UoJKs^M)AAbLRl|Re(<?rQj{SkviB;y8tpa{pWg=j3sY5YYM&ZRfj
z;|0oau6?i<8Muz7Sb@)wz0xZDLwl}W!;P_+f)8lV7@bA{W409@jNwugU`*%3nK6z>
zA;x?;N;3z$P=oonfN<tV_Fb{eS25;oKUy-6A25qK^=5vrU>I{<lsP|+e#C$av2YSY
zi49L;<QC$HmmuQiJGK%>J%}ea;_5CI5@W52x4gvNRm2m6ZHUFf#N<7!BtE+ntL2H=
z&qyJDClJSti08b-^?j@-#s?DXCNXbM>|e*KV(bOT34`3QBS)@dHTlxdgStij*q5U2
zU=2CdpWKqqa66Rcdst20^(FrT$iuAU<0UL1H@lIe70A`^I6&UUkiU(|V<+<Y29}W9
z9m(<H<oYA5B=5t?|Dx1^J6J$XXhCgoq(&UWs6cY32DyeMLDZs}^gV2;Mc=JWuGOIi
zAgnIy`+BTX(WE|efH@7AgND>cL^h(gH)g$y%1xLHga)(T#n7hwT{Gqk1)9@y;MRg`
zgnLWQ5w5K`H{@*1y(D}?j}X@A2x>zuhf^rW!fp7sW!~@wP1-Sr_<@FD)J;5xcY9(3
z8tFUGTQLU7_=M6OsY{pv3oqf+iM<p$U@Q`mifed>jN!~VJWvS+YNH{V{HGCL>mm?U
zQ3i!!hp!yt0ghu6W*{1kPzvdAjq})mk!Xklc*OZ`KwnhB7p`d+`k@@2{CC|=_?iye
z7>f?DgY2WikO6BMyLx!Rcus~JQW@ixc*U5HMsBQRF1(?cn+CYTT!rB=bJqiJn9FFS
zF}Klp!#wxEW9Gd*t`Y~0aEQ35iuJ@uVN54xeiJ)#kMbt5R0lhVts;ma&fXJqZD1q*
zJTQ$|d{11q#NHb8R*VcJFHQ0ViHdkNxK>yJ<UWS`lMB^(UCj04`M%@`HdG^*(6uT(
z)Q8u^uqvEuW#$qyD{&p(tR=9PT+4{?3Y?1<kHv`c)DrU24-3l@Z{%xRNM9_1F`mp5
z`CJDZ$nTsOM6TZ^=Yz0;{CC1A>cNZR<RNUum_IBk%DNK6Tv;O&;d*e%g*bv$m^sJh
zLc|DG79?M=qyS@z#rb)CEYHW7VPjr$5UI{QAD5lD4!qC9`UOr%%1!LzN-oyw$c8mJ
zxet!VIaq_BG|oA44RFOt2YM{ramAkaL3O;hV=ar$aK)YMoEtj84KK10j~I?RaK@9Y
ztUWLlo#2Z+c$bB}JvLzm`a|AZ3Pc&?LneIA%-RvRZ~-T92pXyXk^h$O$=}Ii<gxM`
zd9EBojwQ#GW6NvEYsqWMYs)#vxyU)mxyd=kViz7F7uQe&1F;VGkdJF^ifK53tc*on
z#6s>9=3%Ttu@Z0K%Q#Mwv6L}od<V-I%UCn+191i(%*PnqhA(pzkFN+}?)Jmwzd3!*
z*Cx#I9u#HHWAPcCh=a56CoVRi5OFdMf6$lMd4f=4={#x^TdDXzVvTq!N$f30VPY{J
zd5Fy!kp4CWS%}+-$VeQIM+V}0JTegD<B^e=pNPyJ#0s*NWWM20isK-cCp`qtr8zzd
zlpzn`QkEWpV&xbslqgTHfQJ`(iBc7aUzDoISCsT7c2S}ddmgw}CMS@;3i*#5K8y!4
zR;6~}3wl@M+R@IJeJJYq(HG!Vonyd>8Zr@|(ItS#KpEr~@>6rh;|*Gx<UfiBa*cR}
z#x+=DAQv^OFV3NCP3jvS!M_&gg;xly&7Kj@;a7+A#0_}VrM4p#nd@;(%*729u1}4{
zQrtno2JGE16DRNwJ`H)l2upAle^9m&af9*Lh|BnaB8@o@gku~Mk%DVTL)Iod2HvQJ
zR_KcU7>y~IjRjbSl~|26|9zD|%lGB)<#F<Od7eC9jw8pD<5q$zvg0GKdlNRS!en$u
zU3ee^?s4w>FdIFfkOxn>*1d>9Yq;Y*W0HbNXbflEV(gY793}9Cv0aVMke}PR&Dh7I
zDYD}r^D-1(c*K0oM_qhp9@irj*|3K>?t+|1X70Pf5qpS<4#<p+#7Q%JC3Y6Uz=Qwd
z%AK!AiL(e~#%f}(CLR)tW8i}Q#AqvgAZFv>iNnNk2Ye^4=b#*p5$hfCo%o-PGB`|5
zgy9Q05(f`h<V`EQC66Yd2=<U$!FWNgjYA>q^rElhS$Wn+D1=?*cpP4p<+&&hs|@3T
zuce7wc;mb$YXvxBb1CKl?@AK4@Wy2iY9I<hyEBH6_anEKU>@<;jr>P2eiUb1&=kLm
zG5!dF)TBK{i518m^o%QGhRS$Rg!x7*IO3QK*8qQfE6jCZ04n2iA&!G#FpvQ!3UaP!
z12?=az&v0wTEZP)^0T(XB1EGW3gc5g&IL)BfKE_w#lO7FEskOXW?=}Vb~k_z+>i_Z
zoXJT%#1))?#%^rJTCBiQEW*P7$bZZC<nQD$o3INOj^h&U<1K!}f!A_{H)^9T`eF)J
zAO+X(5jnXAFEl|P%*HO<z#o+0`Ws*Xmf{3tA61<33dU$`!F}XrTx(${HscWrF!sTS
z!2$e)4|CKHoAC;s%wcyV;W<2+-(J{+G|2o9g@ug7MSaY|4HP40dSVA8mg*2wvvCKW
z#M(d{L=Ivw46=^<j=IEVJf6abn4N^H@F124<2VWs<2{iAiTjS&j*R3(D<t6u8j>qZ
zk%k)N&s;o3HS#JJw^5#48-t4|K@JYWG2|yNdtg88$k(>mfS+hU9xucTR3pD9;WCPm
z^SzObELC`K0!#4%m3-)vIEoxq$vrH?Q%FtekA3)q8onG8Ct&ACZGhCHvv91=pD`83
zk;$JvgAv$`G<XIO=SaX=WHeakAPR}NhzyEzLO5nY<2CY|tg8`)`LOT=c7g1X(E@|9
z0Q+$h-;u8d@ql3T!bB{^Zk)j*e1m-uIe?0&foAB0XpBG%=0Nt%Yp@x+AT{5H!#IW$
zIQbv>Z~315ojgV!E6<VV$}!|va!fh4yoS7%yr#UioP(T;oRgfJoTHqpoU@#}T!UPT
zTvJo{pdfy8&G%qKB1WS<{80d(8ME`)0QrA=_`m^=8Rz|&fzGIk?6}RmY{qCbfh*oJ
ze<_GXYm|V@aWW<$7zOc&SlEaG@J9xmBwl8s6$;@#@w6H}P!8{jwVfCYU;HE%Q!yGQ
z(n0og;}L`mI7BRuM-b9O?w5>#!XI)V6(dj`-=*JSAS&TKxw8dPC<Ez%vgYgt4?H37
zR-rSB;{iFDh>j?V`{ZjPIzra556R_~=mHNsC(qX-5?=T~4cLXD2taxqqfSgiGvvoT
zYRDS&h7bNwUyecgXDCYG9rb7bf3>JNUyI@`^(h5Y5sK3IN&PyFrRako<ijgB;so;%
zi69h$+}k~kH5iL_s0L?zC`SBX3uYi1!SIGNz7-{2Z~$u&hk*z~ZB#%ZWX1<qt`pL?
zQ?LPxFb$*77hMp7MhJo*yipo%a6x`JAr~BB54-=!e>)%taw9Jap(s314pm^F4w|AJ
zx?=#wLiRyRu^G}+&fx(*LasyB9$u)4Q1nF%60r}L@CI2KpAs+;hG9s+9$dv2<oj=|
zL-{%a%OLNiJ%t@}Qvt0o0xNM6A5ieWd5z@jeAw_3&dk4wNF?A0KERb&X@ucehwI2f
zO!*)J^KlekQHuC$gIGv!dyAs~#p(pU?!imA5XZq7kKK3y7vjAsCPLm<c!Of(L`zIT
zD&E7LylI2!IDpUaB)7sa3rFxB<;cHIn1|!|iSp!VC(Ok${6JaqxIJd#AU?sJTyKTR
z*o)`LPd%uM!B~SU$VkobMn}k+S^DO4I8j$jL?Rvs@do**KY{3pIY`DMWT#G5L<mM<
z6;9wSa#PoQ&;}#06dL#O4@Iei3hglh3$X{6@DACjo9<9(gMNs`3hcu<Ji!m-pys;4
z2ldbvkr;{TSOTfhvd@s-eFYEj2H%jLI&KeV$bQ5fW#Nr#2!QnZTBwT#XoSXS@*nwc
z`JVipJVqWX&+$i9$mcc6pacp-_T+X*hp(K&Ysfjtxyd;uV-uEPCdQx-I-oJ6*OW#+
zWJDU{a0^GV74q4T@rXnV_`?k{u4#<#RU{)36VM$E;f37z#2j749wcBWWG<y&6~H&<
z_!@R$4*H@o${;Hq6CXA##t<||d1S*QVk#99V|`H{ZumtEUcqKeLVNhY5l@L*+1JfS
z6l$UnJ`m$4kch!(49SCE<ijPb#~8GN<V<>8Cx13$0zx65-In(y?vZP|F&$k{9l7y>
zytE-6y-^!Q@P!;ci!~U9R`5brJRs-yV-BKF2T~V)QXj5DJ}Wm3-4Fy<{G^^-!%oaX
zZ!|<{WW_UT&{3?$M07<hcpwX2P`6HD6K0}6TEP!RkO9xBcW1E^3o#bm5sYdm2Ko7}
zPt?o1IDws5hN+M}Z5K3!LOB$M9ez@GUqS8>pMmUqw_z1zZy`N<GzOptI-n&QLhdP7
zM`e^lNfbk2<U=0hfIYGy3o=3O%Vqe#kUz`!<?rQj@_2ckJYS9@$CKmA@#S^o_2hNs
z^&6lC!q5$UF#?k@2g|S#`)~|b@Cedx(sBK{Pz>G(LJLG-2xRP*VjGU&2HqkAW1S!6
zQ4_NE>5CXF!ycT&GyH?>!MxEB5g3C-*o_N#jjY5%37BYyp_q>ykoy*IVgFxT)#Ymh
zCSny1;UUryk3}Kx<8{OsB*KRK_=lpzvkCc(**M6W@GzbrGdWNab<qQ|@7sXWcmqfB
z#|y!b_XcM}-lM;a&&W&ORYeGfVj+@o8^2JPeDy~=jKE@~;5L4uAbIYK5DdnA?1Iz;
zSr6x+MwEl>DZ67LRzTwxz9J9x#S0A(fw5SO-8hezkX|bPCXUppCg_IIh{qNj#T|S?
zc4}Nv_@DtgVj!kq3ARD*XUS*zWbgVD4%AC|Z^sKJg3%Gt7=`Irgmu`1!?=Juc!AIO
z2RmxAGhE>bZ&XJR8lV~4pd%s>390FWFdVWs8IMVrf~lB}8JLM#{|ot^{GB{T9xKn0
z=gKkUSaQt4=m+`yVmEX`TeLtU)ItENpe)=_5IK<<Ke?_nJi!f|!2#^VS}epg$T;;u
zCp3fXspP(Z8}cAM-ZR$saSqa(HedlJp+97<8o?Lt$c5j`sjQnW!NNMs#VB+~Gx)<D
z(!;(IFZXc*+p!Si&=bwzhvLYFG~(|XEUd;f^hYQHA@377;3Kho0~)I_6@Aef0dPY$
zydx*BAQ{Us8Bu5sU$`O@UXfcDum?*p9zD<mRZs}&AoonqKyr2gMk4}^P#JPBH9cOC
z>*uitOEC$(A-&Ro2ORO0nsFZ|upNsq0lg6dxsOy9d65pUsXy0n5Sy?7vIg&qFw{p?
zlt3>0rKY{XEu6q!ti^mt?Hh=$Xo=dWic%;5JN%|*zQaRY!Eq#G3sxc?vcDaRL5M^+
zLeK=Y5r8Tv2X_=fKIB9;WWaCg_g8$t8$8Ej+{bO)z*Ss=)cbQdgVT`SfAW7J-;=+S
z$H-&lIr3aNh8#<dDaV%Akk^vel-HJX_=WVGlk^k0-zT4MEDSf4K_yg25E`N-+M_%A
zVFV^&78YYI<bI)rleh{QPZ`%=$i_J5MG43~b`y;ehDZ!YEEZrL_Ce<I23|n!J=!tX
zg;5R$nxGT<L*gSI>yV7Icz{pHLQEAzIY>`yj&2x^8Iaz#2d8ikACZN)Ed*Kf)r9Qt
zB(}#R0h@3T*YFzY$cMZr0~0OL6Oub~u?`k4;W>Uo)}JNekEV#gaLmMN?8iAg!dKY+
zm&=v-S_f?rjq!-b23WWN`T6~?$WDE5K?MXs*2?npRKqY0OR*KQ&%BH$_<}6dpZxHI
zFY2KUdSED~AOUN!8%J;%4<YsK5A3OR1yK@}5eWG?%1}tp?T1l_#XKZp1EdGra1wG4
z_%5Cy4f1)S^witz$c=(14o_4-RT!v=`UplVw1w=6yP_w0qaOxg7)C<wxsAs}OvV&U
z#WYMu9A^A)$oJ*%<#F<Od7eC9jw8pD<I3^nbq1q9qR|VorU*wELeLzIPzQmij>;$p
zdH>55`H%xy@R#wB-t!jnvvRj_2{LvvhBB5LA@4UQU^=8P$vuNebV5tiLjWqm9R(os
z_m_E;eb^IR$0<nP+6q}y&4s)VHv~P=4vk>I3q_F&=^_2>F|Ob!c4G}>{Wb}M5P?>x
z4Ig+QFEZl`@%$85aRfWD60<QDeb51o5rDENgzWfE{yfJu9K|lkebG4>hrW={b4xEY
zAoprq-~h?hH@E}oi>cUzC76zph(Z_|Apr6oh%0hJYQqO=#3NkB5$wiVEWlKZL^L{~
zIclLQO2Y*?kpW+*O)qd8=OJtIz1WCE$onxd7>Rz6I@b<OQ5*j7Mky456YP*4->H@I
zzRok;h3sXejvj@)Pr4ghkc8z}h&h;!$ry{_7>GXTg$PKEZif)GKrrNeq`Ihu8c^_u
zAF9CzmEnzwr~tYDTpm*Y|99l?<T3JCd5%0+jv>dAW6H4uU_$ogwNVdpE^<zCZgP%t
zt{u@8JrRuo7>d!5UNaT5AU$UZR$&9SL+%yYa17@lYngkHaearckUds5#ymF)p#-Eq
z`9OM9eY8M(bcf942*~@^v#=Ozu^n<B@;ENxE+jraBOUSLfC7+vlob(xdT0rWwI~dQ
ztlj27-V2c4wjakJ@%jL7@e^5zWoHzJ?D70j53SG{eIWS|3%RGV3fmyP?-Z`%2|nO2
z?8&bJkk8Cif{8{5MK=t<Sj1rwk|4Qz5YiiE&-emgkbykU2^W-x4{AW_f!qs<KtGH^
zEaqbc<bKh9NKHA9TaY^Q9>0)<+LIg7N9D6T-tdRiDEZt$D7v6GhF~mWF$aqwYxm8N
z&neh&9OrQz^0On)k%n*hi_FwYS^qns5Q;<ku+-Bks1DgD)PdC6W@rtmy`2z&UWkV5
zE9BnUaE!)yNWGT+E&Glcn2mXe#{w+E5-h`VNS$AaRgnG48c5&&zaxJykCVsC^W^z*
z9J!CT6pJD6^~(BTKBR}tLL8<d1`{z3qc9AE&=0*KeMYWPu2rsCu3g4J#-c8Q5P+(v
zh%#`8D+(YF?2!q781Ju;@qdAbxCL1YoyK9LU?(<W6=Y85Le@_cFdY5R105mzv&N_e
ziIYkwjbg|TM`XkgVk-?2YjSVnB924WaMIh>Lw>$U;&dA1vn@l=8(knV9gN!WhurJ*
zfb=}c1KIQaATQqGF>c^24q-1gVFltb4U%W_UVSe}FKmhWkeu{ES;%{c`QeC+_(2Y*
z;VEuI-t#{W$@iUDk3`JJG>pR#$i3FCXou#gk3dv|)D;i7zzKGc{pNS-Pa2-%KCVOd
zpT}XtUTj4Yq>f2%oek-)6Cgcy5Tws`ht$7Nv_NCjMGg4F2NfXwS88Wb$bKL%a={+5
zM@Wx9)Y>1A-uwY?@e=a62zftM_7t}vpO?Q1sngQC&)_7ab{~cG@`JF!LJE>0_nP-X
z`n>E@c4HTI{y&h%$YbR>@?1HF97~QV$ClTS*OJ$i*OqgTbCGj8jdQq&E4YqZkp3d~
zzaQfn<g--oAbTd+=l{fC$XZ3l#|}B+jDm1Q33#GBDnULwB7G?c(wmw<`cqrT9Cd^A
zss4~&H5$^dreiJ^VFlJf=3nkdSdev=+>^Y7n~*;C9BKH5e~^AAYqb23_rpt}0wfM)
zA6FN_2th}5M;{Eq7{p*E5|D@_Y{g#Ka2)4x9ry7ZY50bJ$Vv|7gyd9FltKkmgXCRZ
z1S15Jlikq=Lofz0n27`=A_-fu7d9Nnd0fYRJVzS7;UDC^5vdjO*&Mk~B=w^lDx*52
zf7XN4nbv5Ju82f`41=t_V-N><A9Eq3Zmq#a$j@o*h19jfIEnL+b-eW2`*?zvkb7C5
z@Ew1UfjXHL4#)*($j?AaFP3`h4o{RrMN~mGREGiiJz6zU2ldei(zBbRC8SojL0g2O
z13IBIx*`JI&>d3Wd!iR2A)mRBo*(`Hk~~(PBhQs%$g$*@a%_1Gc`bQOd2KldITtx6
zIX5{+IafJnIrpY$f`+IES&PX2-b4WWP!*LS<5C{dgFH|iMIiUlWp5>G8|g{eks0zn
znvA{lr_V^kD?G&mNUypE=~rhUJ?ju;e)mCo*A}dU?9Y}!?oZ6ZR7}KZ428sy+^dw&
zt8_wJv_um~+yz1Qa#bPytqj~Dv04DRVTX+PO+3pwQ2L$3`2*a<C7i|)Sdjalk|XON
z{ZH1Fb1@y0Fd9Q3d%~WO&(5@i^uxxe0~5aRMj4cV>=*MP7wnJ;vc{G7{y*Xk<ld@$
z2Im&8;2cii5K^%RvR>YR)mR3(2RjF{*PM*8ke~4wjDC>4XLrc@yFJ>V1)4zmYAu+k
z4j)uRS(Ji&X1yp1BR{0y=7c@6A|s?u{`#+Ge&XwU$bR4zq@F&(L)?RW{_h5^Lh9~$
zoQ2fklQ@o}IE;g^L27jhWX~ZzT<Z63?7~j$z;<kd)b}me4B4k_{Qp3nC(oDT$noU3
za(sCmc|Cbud3`w#IiGz<Mk+K8;1Hz0$R6ngPT>sB;R58^Wej92WK3jiWQ=62WXxpj
zWDI32WlX=~2Yy4wI|JjM1+w<Zfjr0ux%V#j72Hq~WgzRNN~j8%V}&5pK?6t}NIXbf
zNPI|~NW4hgNc>0~NjynhO~O>n#5^p7#Gvfs<R0c`?11z)iPwWThSRu!tB}~1UMKs!
zmw1OykUaQ<4CF;t$h{T02P!#J7{ws_K*^^Hr~*GI)I>c<{xwGk!VnJGCq_c@Ro1U^
z4|NPCA{H|s`Mm&3u@Xs;_3w5_JxIX;$i1Ocke+!3Qa|oN*3Yufe2b6xil6uk*>`67
zuMXwlYaZl-tiz>FxuGPac6mYW-%34`{;D7~PVVQ{M<YnDZH`uGgLdeEa7gd%j$V*`
zKwk{NU`Q_>iP4arJRVYOCu0hxVmf9(YVjP*Lp&B>5f(%0^-?T@^zr48eez1I!fHrw
zUyCG2otM4J{~vM;IhGt#jxDbtuO+W3uPx^w=OX7M=O*VU=PKtc>x~4+K1tRevoRC0
z9+7=hEMhPT6EF^AFbX3e<0kv6LFkV@ke<{N-OvTno7$r-LLfb=8Kh4&g!HP~khwG=
zJ<AU=&y^v)t2|1>1I1AU1(6rh#~hIznUNlUh%MQ_Nl*I#iM^M2iifxhiO;LJh_g5e
ziQ$8gUbi2+A#uJL>#+vX_aqk<Vm@Xg4w5gEFb<<I41>@Qz0ng92uFK_q7|B<G3ui>
zYQTUWeBh1pC=Cx3M-dc6UgU-&vLiFnLu!TWFTX(U7rlkl6WMD%#9iEk)EwD&o`cjO
z>8D3=2sTKa+K)Zh3F)s=$2K4d(q~sd>fB;Tznu^1xl#wE@5W*>CSp9KR*uF<498GN
z9UX}N=!<AbjqQaV=!UM4`r8Q|5QcVWi%>|74nb?QLQ6>PZjNSXieN}hZ;VE02&wbZ
z>;F&b_}|@rnFH(^O$xBve>~vYzf8uJoF$F+4t0$tU%DGLBPJRjj?OcdyR0z+d+s(4
zY&>e@d~(%r$@9#(?(@}HP%5LcuVAkXZztv9Ram8Zlu$qNmsM9XRaSN0R9AJ*1*x+e
z8mLR-nyV%)+A6=Ioz=9bJypQkeyUdZFx7b4Smn}XqO$j$qVn2JSJiILR8ec@s%_B;
zDxJ?_74m(V+P-h4%076l3ahw5t$Ds#-Cw+2Wof)y<^8o!Wm}u7ZZ$rjCVxDvvd%lM
zLMxqCgU+5)ArY6<j~`c6>uEPtkAioV=jsP)cG)Lt>DK3}cE#6f{N{J6NvV%&<<c)|
zaIPQf(3sz9%<F&Z^7`~<zOan^9AjqFB_)e_t$Q|eOCCEjF~#0o-PzIHmo=w(Z9^{e
zTf;nNzSmA>`6+q%efjy#GN}dlUCxEfea{P<wT2fl6YYwc2Nx7GSGv2I)wh%|$NG4f
zQOPCEF9DurZmYDpw|ZIrJ+^YJAHB?xt1Flf^Lv|%r&KbReXY#DgXLp3K2_CxSi#qv
zHph>D|E{|Ewn>0FWu0MW_@~T<%>&IAD{GkcX+dUZ-&$t9(Y4Ku2kMx^{?+AY{py=J
z`!_JRuW88d?`dS#NZ-WFQaae&(x|CfBC44g9Mjx%S=PerzpbU|uUnZNj<+@spAIpb
zoo-{kI~r<^O=)Ys+t|)@NeDCFjcjk$Z{LB>0(LY#9Xpx*?sPKGuL(Cx^z3XlDcQyJ
zzT3sz6xY>UUM<3WeJjH3J*1nN$+0`XU$49Q+O3EAb!87Tu5eE?ZhBAi(wCm5Z%8k5
z@wQ(48#$5Y@dlA*-D#1g_u)vh)5l12Yk??!rYp+K*C5J#)H2HSZ5?HPXdGp}@Q>p2
z)=}n<ACcyXlaZ!5Gt%_qxwC)vGToN<GEY|TWrm;X$<OEaG;bX5VfOdwVGc;>Ztj2E
z&2;zeX3iZPVLo5i)y#0di+SutXEWc|aP#`tPUhQJ9ZmC62Xp79_GabbVP;bGcIL0Q
zp=RNEZTMVnh&gy)D?ZQC()3AcZnm*&X1?nfY`#lsY&Lz=(9D^$0sHTIX1rO)469ko
z9PSrnekmSkUixkDyBz(^>#=@j-hgW6;|EpDW<x8P12R-JJB%rBmPspPerV=to=@^H
zAHR1aH;b87+7~fX#uhRi7UVaZuW~k%SLQYc#OL7Or?)rPwaZ3b$!sQmPH&d({6~cy
z`>I0ny;sYdzf^}tJW>tk+*aq~uc#-nXH}`FW2&mMsXgiTsm8musie^Ls{e--DtzQ3
zRr=Q)H9mTp^1MDl?T8$zHs|Z9j&BQ9)BPK$>HDgycBRXzSu+c(V{hzLl}X=?5RaRN
zueINBZMw)<d1#PP^+i>qaE12)-@_sTw$<8@Trf2zHLZ3AtKNh_YuU`vR$!%N){#G{
zR>h>-R>!hGtwl8*^!av$^~ta@I$Lc&oyV!39&og^w%SJMDHjK5Kj(2ePlYLZjqgm|
zxMIBSk$0&MeZES^tl6O32XEI6p6u0!yJ#JF_J}r%oz^wNF6y&muj@W>clF+Jk9GC-
zFZJA_X*&GGXI($!r~Y*MpUyfrgDt62X4~!~S#7!N+u0V|9BkD*bJ|Xi&ut4l?_?Y2
zn9nxCC}4B#Sjg6{zl+Uth^uWx?_##bt=w!2z1(eKKRj&lyGz;Xbt!EdoT04EV{SQH
zSY9uiM{EV#)OQta3u{-hb(&Gx_Wnc_TiY)_wjEB@Y>w`}ws9r>Y$Xd<x8=>?Z|iy6
z-)1BQ*tSF%w%hrX?NPF_J#J>&(%ms_Z9@ZXc~1q}T6)#6`A@E4OS@RZ7N0xF7E(LN
z)~0um?O<$>EqPIpEpmB~?GIlUP7Sj4=o4g{S3k&Bw_uQM<GmWTR|{*{yc*W9t@s#d
zi=Gu|v$+S_^j6ar?`_)pZBVvhg_P~aIK#H@L4Yl&T7Yf&B!Anl)75Pw?W)@v*6_2<
z?(1tCw4j=;*#4@v{g-@f-JVvl1%Ie)TlBS(E$WN6?e*J=wtxo}Y!lCT*`DnvZ;N3J
zrbd^w<*rr6#t${ys@^YU%fF_iEmJoSn~R&fZR|}qTk!PawsqBu*)}|JwGEhB#8#}F
zi|yRWLbgR+3fflu$Zz{IEuZaFp}e*dYn^OvUU_T}cjU4StCG`}VW*=l-pj$(D9O&|
zUnIM2#H_3~xAa+Tb^Bzp{kxUH*0EN4+mF`&^z~xD^|)u>wd=Ys`f9{SeVTbMdF{2f
zi+!ON`99S@o;=hIX57=8tK8PLZd})1!>;IQ`7i3>JJ0HZjZf)GPmbx^!wzd-#{+ur
zvQ$05Yrl?3-K`z#@6biBY|&TSZ`AdkCFxncSL-96mh0a`m+B^e7U~OQ<8?yDxqAPk
znYv-t={kJM6rD5sB;7N1oX+etQs2olNRP}Dt?lx3*Xwh4(xY;R>UFuB>qdDR>Zwk(
z^n|>IZd0JD_H?PB^Az{gKBbE5tzL!nvT9DcXpn;rZjxEg+xOcFz46ZS`2E20a=&bC
zXnNE-KW?veaqoKT$;ZW3K;;>h!?3ZILu`b#zib0*+$}Hb_<SepM#}rtmEDq4+0&+W
zE#i{8JTfq4&W>pRGu283#0A9$#GTXuUKKwF+(~ve_BX0vv^ZPeXcExX2wpha_|tE?
z@iT6r(Qo-$qssc7M!t0ij2BDJ8lz%v8A;ur8`X@@M!JdV)XT?Nl&Kum>p4#9>cfKS
zX_;awQ*=pHaAP^;@TihHlE+V#HcaIfUR%YFZm6Q>H&avBgs5v<+N-MDyQo>4da6^)
z`=}FfgH)dZBh;mJV^zs{6V&Pvla<*qR=rTu)$BquRoRcTRnpOU>dU+Ym9^6%b*AJ}
z<?}L8RZ3c^c6M5$lJc%oe~)fZN&PmfSp~MKb;&!_y^!6i*!#Vz-GpQ{I=7_;EwU*u
z*F$Rlk|Qc1?{QT;_M~$Cc3KVZcuo~NbV2=gy{vu=x~kG2zpnn~zNK!pzN5y>zo)LB
zeV|VLd!&NOK2@cfK3Cz<FZrk8UaJA|Z&jh?X=>NX56W}dClxm5i>f;2n_ANKhZ+#{
zORXsIN7+CBt4_5}XXdV&o_`-I1HaEMgV{4Bqgj4xCUbMk%;wEPS<F>;vY3AsX61LV
zWi#EfW;ZYFLAV{iFT&oOzTVy}UB|(^eb>R9)7Q~7|2mqNCg(8y?Q)utQ*xTk(&sYo
z4$Nhydz_2kHImyrxh1z5?2yMS*ENsXbWa|0Lk1_aY<(y5aIBNr<%pB{^ShHdyp*$f
zDcITk+|Sv(5a(=$&`*Z%a5l@NIGdrCv-y3Wv-xAQv)N>cv-xs@vuSmOa^~N1b~f$r
zIhld0oXkGqPUiFiPUf@|dCc&BdCW{sdCXp$bDL8FbDOQt<T6h;&1K#@o0FgY&uQAW
z=P<_<$YCBF;%JUJ?_lmM>R^WUus3_Jw=>^7%5GkE&TbYnvzZsev+{e<vhaI>Gn)ZR
zGMQtRXEaMM&0wlI>CHo9(wY5E|5Z(<{8pY-e=3Ko-;`a%7ghP$N42QUd(|@ats0X1
zwJO}^g$kYZR5eL{r1D?8uP#5nqgFq@sWx4`rg9};R^Mh_P_b>#st@^2sdmSXsV_Ya
zt9O5GYUq?ybv*Nam21du6?<p9imJLreVVvIwL7s^JxaGq9rsF9jhZi3yCM@*tr2ro
z(72iE>!@jJL%$fcE^LAtK6<q3U3suNextW4(<egteG5~I`n6PF?ln|j%$ln1{OW4a
zeQ%Xmw6x0Jx|o_iA-}r6E{EEGEVD{V`C(kT``qaD<*M;A;}PSe-3}whez~zc>kOlG
z`k}_Lv=&Cedld|~^Y+G(Y3BoWO^petHSw?iwjJY>oz@jiO=yvj`fAm^)S375Set^Y
zT3r)EtxKmzS`IH~TH8WaSW(+{Sa&`gww4vTYPBl;%v$I2&06^*qkhxMLC39h){pMF
z=tg!Px}1A?{i3Xoep$@W3p3Q#-7hrKM`K%RPp>eY)#{?}`9$h+3;OH+kB8|c)5dCk
z7nH8DI7Sc6HBA>BHbXzYGFz`MF<+O9SfCp%T&!={mg%)OR_M6Lt97>rN!s!J2Hj!n
zX6-j_n;uhZr*`_WTi;x^Pw)3h(Tglg_o#Y6=U9G7kN9~+FROiA_ZoLnU)p?HpFVX~
zH@b0NH@S9EpFVO~+g4rGo&&DyER}ES(8ss<(SbX<SKfQNQo?;bKKn!6IqH$VV|%QB
zXMC#9`99MfJ3QC6fiLvm5ifQ5fv<GO_OEqPwKuwO#<%){?XAAs`<-s<n5H`|OVinl
zzt?@{zt>xSz1NRge9)fDKImn)KIqQbKk9j9KI)e0qdrvYqyA@n)aCheZ@&Nd_6NOV
z#RvVT?FaoL>j#~%?!B&Hyw_Kcrs*v~Y5Kv=cY1cgclz0Yw>rz=H#&dTH`)w*t=B}q
z(tYQ=)W<iz&=-=Q>m9addVca#ow)Id{x;{aKGOG*E?4`Z4$1XEM_#(8XH2`RpZnj@
zOS$H&<8SIc1#jqxb=P$E3Rm^9&6o8d_e<Js-UV&{`<z}Gc2?W(IjwtTJEb4DIH4CU
zIHq@8JEDVg9M*HqgL*|Tn_fKA(yO+l=-bEl>#n!=>P|0r>$DF$b)_%cb^T9Ub;~!K
z^?(N(_0jX|b<gA^J!<(HU2Oa+-M8ZkJ<T^!&v0C-<L@of2R1Iyo`d4`>+18g`=8l5
zEoG+eF(gi}uP{xYeKJMAi=V7Z)|sehejKMK`Hs;$ClA-R&JWV%ocrmUEuwVpnca29
zW1aQ=@9p*FQlZ+hMN6GBJXmK>Y@po_)YiWD0(HM1{`zO`YWh#9N_w?_d3v^|o)lI>
z=j!FEpA0IfJ;yrhjIlZO(ph%eB_Xp;T9Qs55Bg@MHF#^~YW~<7*yg6ywZnO<bl0Pn
zU9S`?xbJpL4N0<G$1JrfPnl~So)c@it1;GzwvpD45g}H<%9>Wba}_N6bS~C1-)z>(
z_b*Z#jyag>>$)iQ(vpbO<l^~LYb=_b(&@oQzrhFB`sb@!JizU4bij|&%K{poITDc2
z@^!$+2ic6o>@LQw5*3Ux6@rYsWm_5U`Fj}mJ`OjY-J5JA`_D4A&0J_qzqQhEa@k~L
zZ@Js3G+rAm)*d&!4_q*2p1)~SzVgU;aQ3wkmipP~mH5Z#;h#}?uE?rxq;pVh+vZZU
zHan}Zp9NH6U=bBCwzzWM@1g8omsbDsdZ{aZl~iQws%mXyb=7T{Qq#u-sUM^2sF?#B
zD6cL})V})7m7`~CmE&)yT5`I*S}-eIJ!%x8+NSHN9&CtGts3=J3!V&6QwI!D_CJQJ
zp94p$#h=Ei3rXXZL&!v>(oa^c*T$%tbz;?*2UAtp;OVM+mKiGZ?3t=$zS$~y{v5S6
zCp~+@d^O@@yz*|hKxNSj)yqPQ)yaNK)ciwBmEoAEwl!O>?#^7Hb{=1;+<vT51>M)E
zn0jkfyKYHp(x`RnbKH8Bkg!2@ShP|3#&1%2r)^eGhi*{`9k;5&<~9|cf4d5Ov0Z)I
zzC#rqxKo|=+NIt-+@%J@?N*Jv_o!ZH_b45{SNXl$tIqV_r+TLCQyIGMSFsoNtM^rs
zRq5Hus?^hDb*EyA3K*E8{I{m4(+^YBL;F<KuY9WNTPIarZk?)TbVyYT+NY{#EmBpV
z8mX#u$y8;ZAyqkEO;M#1Q&h7~DQZH26t(wwvU=V-SvlAzE4Re`szjOn%6`*6b<KUB
z8aHpR%KmGQifXe*t=qI)S>JZ4^?til@BTYg_LV!-m=oL8#i!d;hM!xNbLOqeA?p_P
z?%yVLAZ??Hxwb(y+_hfiiCw3jwoFoI^RHExFRoVUC#+Ik%C1zIPA^v<!V^`s_e<52
zK}%HDPm9#n?hDo1%L(dowRqKk?mTt(*&J1>(rgtmXr|h@El%ZnLJ!M1Rn4wEMcoaa
ztdhD;RN4EFSFS_Hs`T$hszrB)szBR7Rbg&lwK_CP-ObZO6|{9xi#l{vD?hYVgNL?O
zZ9g?r@tqs1e#h!5pQ5!?`QD~ly{)=>@zO`tE$FRso8?qOyHfN;H|09Kh&nd1fEqHy
zNlodMLj||auH5}IsRNb%8v7o7GM-I-Y5XmE-`Kz9igBUxDdYE6oAJHGZe!f64MvNv
ziAK5B^NrKnrW$Ek#v0pp^fKa_wKBfGHjStWWsLp>^BQ?O{tM_k<4VBK!|MZjWF8$*
zXR&8M-o&;3>7KscH(~welwK>!roJjXHZ@264XKq{T}h2H{-#F#bFvzo_Ou?4HLNqP
z&8=mtx>=tcM_ARi#8}sk&9=&2SZu|eTw^ucvDLa5yWi>_eAw!r;jGns<u$9P*8{7_
z+LzYVY@e*3t$tghj%Cm*T4&WIZrf|CMJ`?TfU_=Jte_q-poqS`zqoe%<e{&+meJn=
zyma-(m2|h@s=8Lq>Uz1S(slpU&{>by*4xI^*UqII(<_?lc8y!=*T+M2T%~r}C9Z=W
za6Mf2%^jgXR_~#2wTRSqVbQu<i+=jD-$3n`bBG>yd6<r$JW_Y{9HXP|jMX0skJtN~
zPtbboME!HkB;EbcWS#z6j6U*Uir(@lR;S*cs^6TRrq#~rddKWIU9bBLoxaLU{ovb7
z{d~tPT`*#{9+6{?&b4)pzE@|ietmVWHp1rVTQ}$F(@o~<{3-MGao2eLWLUf&awc9+
z%a@?bv`NsNW+!OhLkU{HO3;7p7U;|+7U+kS7U;z43v^@r^j@HM7hj;`vM<oHUnb~_
z2NQJrISIN>y9B+|B|-PU7O$^QiP!fk$Lj^x=j#Fk=j*=N=j$B_^YjPTc{(t0uHI2#
zu5LSRj&AgAwq6`ITenM@rI$O+(xW40>g?NR=vH6j^bnsoJt2C!j$1KJZ#Xwqr+tal
zee=ianw6*Mk@aJA#kQ06fQU)DUF1alCvt-B-F>`1*nXUL3?8e`4IZtJ)gGzK+Yi^}
zjt|lAh7Hn7N(|5)kMz~yjQg3_k@{r+o_gGeZrZg+SAF7IxL$8`)GwEW>Fu9Gb(z{B
zdgP3j`uv4vx}ig`E?A?H?$oEguA5Ltf8AG8&%Y9=8@w`fz|ZP>P9|SHAiIywl)aLU
z%2+{P{9aavzVy_kuX^ZiscyPzVo|L}xoEdG1$B&9KAk(glYVkOr*>cLpucp^u1A#0
zqHn&)pu05rXEi<g-O^P*S|3-wwkp~^wXCRn*4<Ort;_Bgtw+O8S&h#gwpzPbmf2&E
z)nNNpYu~qZ)=B@BmL9d(x^B(0TKtZ)`uoLL0|t$?N{0`yN?(hxx-@8GHP;QSzLgBC
zT2ck8co8>i?L22o<;ZFsa{iQR?{p)zRsk!ujmOGVZ~vIozPsC`ZpdCDRlmHI()Dr2
zlmj<B_P^iLz<<>G^ZpNSy99JT*eu{+jR^rYW-Se9ae8k+;g1&sQZv2@*!(Ypk>g`d
zW8MuH<I;}OM*Fc<jgx^jjg6mzjf4eZhI@sc#`8UcjFkN244+0Z#-^ch#+xN`jRX4@
z8edK)8X?!#7(1_TG_IWAZcNd8jU}rr<Id>AM!u#ejr{q~8=Ed)F;-2wWt=Maz(_ms
z)OZ;B+UR}%z0o=Jt1<KVFXQ37bn2;@QKdY|tQt<prbZRESH7DaRfKOY^*S|=+F3oX
zTD?8LN-ADRt)A+lCcbf173&sPvlf+5anC$d&a$2=U5_%V{?c;l@+mJh<$XofEJtOP
z-`z(Y^{%FBRr6D0s`#spr44mHuc`L`2vpgw2C1Z^T54RsI%-^{dTP$A`fB;YhAP2q
ztUBLmqTcptsyu!+Q(uR-P>nyfRQWr#RzXKXRI+QR>fNWUYOtrBQlG+<Z^;g-WN=6I
zy>}<IbbPqV6xUf5iR+?nj_;~Gqa)O>Cf!s`kM8Qj`|j%d_8zK!kDls=Q!kaUtCt$q
zAW{vu8mWf1ic+IbMX6y`daDj|dn@<nz14vV(W*@EXcd|mt!f>MR!<&AEANld%HvzK
z+W$UUJ--*NHXMvre-}indtIYdU5{v0^;U1SZbEOhxOi`sV^@?)=O3l|?TJ*KOGc_I
zQ+ufsk9(>b-aS>&fFA1n`tIt@m2PU;=Lq#WTZFoqyQ}Jxvy0lDzO&l(qLUhUq@zkV
zzk}-Bw!K>89Hy=wZp#>ls!HkGsNpkPtLJ%Isn}^PRNo)X)aJ0Js`>6Fs(;4Ds#x8I
zs^8f9YS`AgD)>rml|8Md(*J6x$yox`@Qh0B{OYe7J@8YV4pdWi2|lWO*UD<Xr?=Yv
z*h}4-Urtpp%czU@OQ{D#Jk;o{CDhp&#ngL8S7kq`unPKIKqa@!rxvC-sm#u~Rmq4P
z%5AH?a{HJ~1$$*t7rSIsm*=EY>4y9=GN*nq9KWO)ecfIeF}0o;o7>$pj2<_PxxFqK
zj$O_e*_t0So>V(vq|2LZ=$AW<(R(%<t41UlGyPT=Yu+z18myRSJZd<@xb!~87&~j6
zv8wf8qwR#A#;2q(Bj9MTk?Bs5QTVNo(e#I>F(AE*(K1U;<7l=FMtP@K0hOID1Q<?x
z0^T?;33ya+e88x>O#^~@xCE@KbkTqIkQV+A7A*1gt5ZLv`RLOr(GCSuD_3ol+SG4M
zYV+(1Q)4>rNKIXOIyK_Zlhi+_|D=u$v$wt;&Tp+K>~0<DT+v#+Ai#=At!M2y+tM0-
zx|3CGca-%tcBr-1eY{ouM~v0^P@HvY%v{UWd!glUZJAXwdbKt1$9k*TkgZnS^Ig`R
z`pMSkr8aB&<0DpBp;K1Tp!3$OwpXmEE;p@yVfU<#wI5sGi@dP@K7C{PEd5}0srl7v
zdgG^cwB0}J*t7I{f4)q5rIAJVXqQcY?qjDbj&RVKN9E8R2IbPFy5`Z1>O1Qc_k241
zYkuve3+h}W3+o>hiqN}U_3B~8bi<r(`p}{h`fp(m{drDFz3^Wt{WQF^KEJ<=4$fLm
zcWh8ze;@CqowrxeTd!2qN8ftu7QZX$*6FI~vp=fnJuiH8?z2_(y|vY}>tJ7fxw@bJ
z_t{UcSzTS9tnaU*pZM!V0|Ru6p8<N=AVZITX6USqm9Da0={&!b-VkK!EMrYwVJAOI
ze8<%Jewq4p&On_~C{WKW9H__T3Dk4`nfl5jQ@2hvb*brmZO*To&SC0Yhm=l<R647J
z(wSEo`dCFnx8EJ0?^X=ZZC3f~M-KjaM(^sn?@>R!#Mw`mYUis<F07_EpR1}b{qoTp
ziuve92G`N7vaZ>ol0MqmTleZ%QP*!-K@Y9rrE``luS;ewr?1>DqrEql)~yD3>NZtM
z=@#!ibcYr0dUoRyI`gOE`ts~z+PO?o{UD`?ZdTVtk3CaJPi|OHk2;cHkFJ(auUyT(
z%)v>g^v<mxpUkP}7t5hv^>fgFEIa)?Q+9o*PFDWeq|ADIN=E(TU3$H!NIKni=5H(E
z)_1E|kuO&1kPp_=DQ~Tq9WSk#SDspp-#xT$q`PMoaJXd!=DKE0bi8Ec%XH2v^ZBIp
z>F!Z$^}&NypG3==GGxD1yuog(cmD0xviqB?XDioPL&H~FlM64mf-Ww$?v78eVk^$I
zhTfWC-5xvDdQxJtb>#3kE9BsCE8$B&YrT6<E3HW<>*T-?D<Qs#mAtFAHRpVQHTrpF
z>+bI|R*qb5R-fVpt&ZNgtbo9**3l)uQ#<Z^m74C#jnwe>$5Q_XM^_%s)$@gA$&xku
zRwyEAmAEtWv1Msbo3s#>5M@cJC}md&*_Tw7HYEz5J2UoBqLO?g*@_mjC5e`w=l93_
zbDw+X%*>tVob#UZ&KXAhF)?3yldQ0bC4R%_$a0IlWGs6PStKb#TqJw&Z<SP>5vzrl
zyFKNKzx%}8+ZPCSC)a{Y+h;=sa~*g_aU<OK<`^tu!{LJ8DRAe~yYTu}0v((h;TNY)
zm~1l)Kg#hSx3fY>tW^@7)lx(U-PMtAo(^*SZw2~q+6aZon4tyg>(PGoZRnHC9^^Ca
zh#s}LBKs^aw9x)E>I@A;?zX`wSuGsF-b-jzdJMAL9FHO<6VbKQRCG!|6AeANj=DGJ
zAe|StP@d&IwC3>xRH9Ub1WpyBe^0q6NSY$g?G-2|q8iOAu0@C5K1KIOo}===FVHF8
z*QjLr4RZYY7VT_$hfd~oq8#5I^u+KZ;*RvAgBf4YEzTf1+A@T$*pH&$9p6#>mI(xk
zCsDiPG}`6x2PItphsp<dIQ~4moFC$RocZ$noFN4P&MukRoQ=YQoSL74oJU<koVk_4
zoY!e0Gq!RLXBQIX@bimthN{IlA_3x@t;-}hCG8TNHRmNcbt+Pv14UAtDYLnp=!Ur*
z*-bMzq)wXC!^m(H^JF->qOu$*H(Ab;3R#Z1q#P%7w;U%jMUJ!KwH)V(fIMe>xjd(J
zhdjr{YsLo%mFL7=mFH-s$#V{-%5$vZ<T=e3<vD!r@-w++dCqQac}~Fe%(r!Noa#$*
zoKMzr9PVFP4$PP3`0SA7IF8G3M51Ik-t%NQ8MmZo^3Kwn?Rj%KpOxowc11{Wa)u>2
z?VBYze{&@`@{{76rDo!sjUi&3)0Lu}@`*W|MVfOsc%uj>)I*pPA11{4mMX}(mN%PI
zoG-vJ&gbV?=JIjcl6g4-A+tDd-FP_FSO1~|R=-isw_m6*>?g{T{eg0l#!!>k2wLm+
z4e9>(73D7ejNW<oq2UL;NT|09Z5DoyK5Mq4zia+OtZ@snM6Xc8@+NdrsR4OU)uF+c
zHApJ65{WyNA!${NHoquA!+wv@BBh5&t0*7MTYCqYH0Gj;%{S4@`fDf~q$AI~WaKKE
zfNI=gQE^oi@|B51h6h5?>fDRSx-kHqHb05n9~?t*Qb*8!HwVOFZBgE=tw_|=8g=`b
zprqS|DEIYpbn&M)%95Sg^Gg+xpP3Yzw@nyz?w^JBKOckQ|Mf!L(G0hBR>8`SLiqFT
z4cPNK4!Sp8gd*{Wq2Xl<XcVal`=bS*o?!zpJ8}tl?3V{48kI)ncN*F7@WXg$;vrV}
zH-Zxf<w=vt8glH+E>fK2OT0HklKD7=@GIRWR!2&S=#4rO@U)fGbo3FicjKh0XBN$0
zFHF1hB<YVyc^Zc1(^bA&G~t>a-AMH5<TF5-1~Xbj)=|N0TWPzOEq$$TPm@0#qOT*4
zQaxpFx-HF*4hx^Bc10Iy?%NPrJRVLD3SOpRk}>p;L>#>?kU+PLCee@0sg!dkgThl;
zw9M!x%^uC6FEVdYb<?{v;B7vwJ5)eF_7zg@-p6!FZ3$hd$<hcvLf2N5QO@rQ>a?Vq
zrq1M(T3qVr?-NhyzY`6#(WQ~@*!qHo=)R&hQ_b`aX`w;ht@NexTN+Z@Mw6`H(LW6x
zG~cX~Uc1*tp9}X;y*<5@WX#0bT0T;nzkPIz@+a!9`<do0{X(Y~ex>f>19bB10KLu*
zQkQ^l)MnKXweJ|B@qWW}LU4p$iX5SKJfqavb(G>KqtromjPBh%M!C^rG^lipR=*je
zA^l_Y&DSwn(K|-BHI32K{4tsvIP=_Uj9T%I(ccB5^wIWF8u)c&2D^;V%<*9=>oQEg
zz8In_mkd#!8M$s%gEaW}06nBTK-IT=r7w?sp%K2H=|R6w^rUA$ZQtKVZ<&0glL{Z`
z$NnA~a;KY49PFYt(w+2SX$M`t;~o9l*G8v3-qQ1ftu)T@4c*%Kn*O(}nVLtuq=juw
z)KtBZN*rjQMu|^pXLTJ_`SOI$on1pam8$6VMHTe)k}?{qL+IyuEG-i)r8?gq({;^7
zGym}+)js=x>R9AcN1?lPwB{C_I+IH?7H8Ax*VpOlQ`e}6Oa`sFn@abgWNP~~fwpdm
zr_(R5(9avAX?gV}dVO^SeRw03O3ewTy~i%l==1<uv(1m*;qjrtxgIoWtqaw9=R{As
z?WYZ6w$$y!HkvfNktQCpqIX`KQbh!*)^!6a%d>(m-lI!zJ<y~rJZf}wlM*#clA)sS
z#cAw(VJhpuM<1=3CRX=`iL1&-k{SM%xQ{+3yKO5;AN!ajtK1>u{+YzTBaS?p!Gply
z6!D#KAWB?oqIZ4;DOjgOZYc7R+1>x)+_c*mzC4MWqm}U6cc<BfX#+;w-D8Yc!49zT
zPZF3L`~)2PItGBeBvjASf>R3+Y`(l5vfZxGNg@#PF1Q5i7AHcWbsc_{xd$C5is6!H
zm9Q=5Is9SyACw&Kfu&)C@Vw+tc(#TI*-i?ej0JO$yrm?HagaqXjw_*?C+DL#J`2%`
zBRVK(>r#}wY!yQMhRC=HBKIg$6mM#YE`D8)gu=I=ABsDWV%BbCp|l^Z3wK15Uk;-M
z#%?Gx>=<IIz0vd0lSo_oEYetX9@QsaKnvo7P;__*8b29^Ozk6(Bj*w_k&i;pK1ZX$
z!Yk;iZydV6{3_D<n1IG&lF;O;6r}Sq75N@YN6$twkb>_uv}H64IUK%$j9%SDP5L=V
z;z}<1)|-d+=-o!^j^9D|Zrw#E+wP&%S@)5s`U6z4rU2cwc!(<37owk*MaZ0agwhs1
zMn43Kk#%P=ip(!Tk9<lIUCu=rAGv5#42x=)W5oLuqbXa0Zoel;cn?K#jTAK)l%a)5
zWk_|X3>D2#7e1aZNBL|y5*sW>yfPK&(#i^yXH|i0XZ(QFofXJ?a|P-~6{vqf1q$J*
zK$Wk{QAS2NQn4>bX0qi-rn(Fz9VtUEdCSm~s}%XGQuHUCpv}?*`2}Kh@gs{)8nb9$
zEEgHKmm+PYQlw#1f(*|Wqm$W>(dUXsD7B>srF0dd?>!Gu@w);v^85iRczhoTB<7=k
z9{13FbQdiUxPy+@-1<M3YF?a+#GA8`o7YV=C3FM5O3p(3>eo=-^$hevDILXKPDQhS
zCL_~5NoY@T0&<;m6@}Qvp(j~aka<rul2?vGdp2J}T4y8B)$3uXyfOq;y$eF6!xxa>
z^m+7pjz8i``k_N2Cy>~$<7lYkC^9Xc;l+g<M9bDYAX9<8sJM6+dTzfBRsPw8TH@EC
zwdxkgCf5Xk1rV7huR*s3R-p$+XZGGR9h9S?i4;$$p*7{o$edpu1)9%AD+0t&`a>Zk
z(8Gru<^RIEgX6F+?<*Ym&<)EJ{)3H{jqv8NYWVyL7rx1V05{a;KyG^)yf+XFAN~r1
zcSZc+#(6H#Vc8D&n_~je<|UA^SAasE{4hwk2TU?tkbW{2tP0o;3>WhQ*t?y1oA#1x
zKJbdozP$!#$p&FHa0ly~zruC8li2CB1d(XaAU(ncq(y%n>0iH($ZR-HmML8zA1_9d
z#a;0vbZG`T>zPZUvmX%4XQgCuPbI1O{ETFFzb5AO9fWhOkIXwfM0^x~l1BWGbZPQa
zk3&LqZ;B}Osga}?`()^j-wL!uNR^%zQKv4mH0jQ7+ElV>33a=<oUZoJr)zZ$sr!3C
zF9aFW-Kyra{*EQRJ;Q@&zP5>~3fj<vjyvf2`?fRKVGq5nW>38=9BJ^rL$vbn5h~>9
zMw!hXl+p8~1An~fiV9yk>f=YH6wlIA4+3WJLLlw1y+DgDU!**25H0Nrrp<ps=vtXD
zI(tDlm0TP_?Q|mPJGDzRTJkb=pS(<uzm1}?1<|xIFow=wcZCKC$I>5_vDC{uj!r1W
z(?A?gC3ak;Ss$;`l^zN7$+rY*=bT7~S`%rgaS~O}N}`pMNz`RsGF6OArmfA%^yZut
z8U$15*~2L`CNzcCTuY&94^!wZHiaG}Db%(&g+|^=q5SbFw9z+(e%qQt-4~|N?IX$b
z&ZA`N@0CoOwUTLZOA=jmHi>RmnvqkONN<}Z(w_|pRBm$um3exV{)Sg+$L)ApDG^Ug
zkHyg!Gx2X(g;<*GbcH(S#?Y7#(NtY2nl4!%MJs$R)4{|`w6Z9YZh00#^V-8{`^PXk
z`8kxzd<vnQnY9Xk6+{KfF4EfU3$!yNkd{}SqwFz%`dZ=)U6y-_POR{yn~J>YzQvw&
zeUb+?o^qoHx4Y1;8;9w;&rbBb<^lR+_kQXew1@uAwxvCE2Q_Z8p(d@Hsd(!K+R|uE
zDYc+Ka?EIMs4@NR0I9}GBf9p_Y8qX+k}f&FjIK9WGBX}+S`w>C9Sk(6(VKbH>zFcK
z&8t8kUXh`5m857$rWjo_PlWDFnN7tc`KX-0Kk}>RCs8dKA@75~koXO~ByG++viZqt
zB6#{aQD5|g{CGi0r%y3iBmIEb-OnSL7FoopEt&jvjU^2~BglfFi=<59Bq>~UguGt0
zo3x;H<gg_}3^(hNzdKckv%MHGd-)r4KXu|O{FQit_D$TlJp?yPZNaIr(%5=?0n2{u
z=Z+_i8Lg}-WPCTv02|pYV0L>j5R$n84y`E%O=cb7pZ+gkJ9`e?a7Yp2qD4?}d^L<&
zxE4NIyA8hGegHby9E10uKa3X%flA*l!OSOd@O69&JZ75(7fR;Ado&*shevSE1Pg5f
zE1~7zI(YMV6VzyFf&RMhpoeb{EO__{&g%XK=kbig8mTF`TZ9MM@bjVk2?4aRM+iyO
z%t5W0;^?B66q*1sNcyiFA|;CGwTlXZQu9%JfjWw_T8OOPXrV5<8Ai|>U9{0^DH?pR
z90^LSLP3XCBddZn2#gsatHluQ*v&y3{7sNtq8YlDvlhL)V~G-StkK(q^(gf0Ms#V{
zX4Im!6>T20L7#HBqv%~b(TeF^sN(8ww0OZDbRc&x+CFbT8jrL`s|OvBkeMTLyzGQl
zH5^3Ve-EL#TFyw=><HSp%>^~@az(LQ+)yAqijq{_QPY?^nnyg)h118-=;GtZ<>hhI
z>*|U2{PaZ6{k)LDkQYj@^+x@VyphgqAGB|S4>}+0gW?|gprmFW6!Xak`H%RZ1K)g*
zai<SbsrEs?(|piJ7a!E7<AZuSy%AryH?q?7MvscU(01sB^ol*vhJ~J}B=k56cz+Dt
z(msaPx_BV_ba%x2<S63wx*@f3S5z|Pf}|&optb$ZXivjo<eYN|ojGw3-8OVW0%Hfz
z^(+SzyVf3keZLP?y6;80qjrdMbT^WEw+msDooGk;b~OIY20dE673KSEMw59PQ9<*1
zH1gdVHP5j^-bxne+kA86pkj*pB#cqU6ht{43{oyOMDxQ8(2FhlXrtsx^tgT*T5?(s
zy;9djwN=_kZ=V*@9$J9f{nU~3?|CyAPz9w7DWdTG@~HcX460o;7aa(aK(F75qP5y0
zsNG8t;m7<)e0&xfv-=CJD<`4*yzlV7*EhHye}d1Zd!WUt4yfkT3h#x#gdp!3R4c22
z`Hf{zzqJ$!y)A?RukXPx^|>&kGz$*jNQEoIuR`Jy4SUyy!%3Bk@K*0Bm>7H%9#nIH
z+~RG}!rBr(cw+=_I_SaY{c5oJs0?%*7K9cbCqUqr_u$!Z4LC7*7c}w5gFQ=5fa<+w
zz&%wGe11cjcQX}Zw+4ikCiv}Q*S~FKcPT4iZJl*kO8N}8KAM2zO7ro;kteuJvJ)>*
zoWPR&f&>oDB>~Uo5yRxgq-B=@VFk>{_Uuh$&PqG7>HZ-SuHZ>@JkJuFJwc>sES!7~
zj3$lzSIJaB3NaYWB*t5^NptRPl0SBz#H@TojGVdTXjB>blvh2IU#TZ`j~hwRt!DBo
z>OW$CxP#nT+C#Fx^bxtlujJ{fVG>^Tov4{j68pm6BrJl5@)YvYi_QFW;_Ga>c3Oz;
z;+sR|_{8Y(DRH{tizH2YF_&`kWvJdoIcl?6fu=|)(Xj?)x*<T7Ue%mWX^k2!-lIW1
zKP{l|-8AX&M=hGXQ=2{~I`q7fF3mZ%gz9tksM^$0dSJzJ`qh2~Exx#tvgxbn$US|!
zwP-bMd0;?&Z>*uqE*a8kS0mcWVJHy>^v(<>PP+hU%u+;yUZEL$!l5p|ICS?pV`}xw
zm>Rg5P_0)cRB@>(mAYU`=RPx~^M%bQ;FwW&S2J21X-4PYFr)bo%&2pb8Qqp|M*T9(
zXjhOKy>h^eUR`BI$A6nrmYC8JZ&R8z-;}mi&G3@<nNYrO##HKrF>M{?P<v+%EuE1+
zwhB?DC`gTG{0h&7fKn%h8YCOh!5Tw4{CN$v;a@`+$Qw{U_0`mIfj%8oSw(^PO1kam
za=QNQGP>sB(wTMCqox~{&~Q;*Dp#vRdHuAhqsAh-{)r}SKCqBV{m`JQ7uBh_kQ$v1
zokxHFRiWCR$~3uMksjtK(7ZG`dTLCD4x33+?I<Y<UP(|h330m1N|eT*7NK)<h3L@p
z+0=B1pDq&NqpaF2y5!Jba@T)~EWR{Bx?{!&|D_?)<o}hNJls$8EqaNWN+)^ywT&!$
z_=a3O{)z}|HIhFq^(4i=hRCW`ko;my($<v_#nwXNwC_H7*m0Yf+UAf=&$Ea)OeYn&
zNhDJ=p7eS|lc&!jNc4gb;_eqnQ2Z%Uw)7ZzU44j*Z`(_fJ8Z~mM{8o*!yzm8uO{c-
z=#td+8ss-oAc}et#3fCDa3v>k+vks1vEmhWN-Dz{$M50?>ymMxRtO#vJA}Xghwy**
z<Z+|Q2e$EdA{#m-%LeZ4G!WKQWbP{`GwvrpFgLcyg9A??DAaNSBZWcWrdc9Lth@zA
zmtxQv(Fh`6bpdsOG4NT67ao+G15+eq;DSFYFuhX~W)v-j)o0hh+Xg0Z@Pjqf39^BI
zr1wCfL?`%3=qNOH_kjiFXW{W#7vW>2P#B;a2~$=@!;Y14P*EolYRaX;*S|90uh-Y1
zdv*@wJ$f6)Ey{;uZ3Xbxg-0-OekpV;#L$N+hgV9fV7yK(+<E0GEF5?aL%~aU|NLtx
zSlSBRKej>2{~op}bi-?EAK;L3Kg<*P0`CnDz^=+6s2({AcUp|Y1K%g0=G9*?V$pBt
zo&Ohph~q&9^|Mg!1TR`Nk00f81d!hD*(lvj5RLc>p?PP7k?JWC^uc`&a^5S7GR?%$
zMGbK@XIdOBe=dOr5+srSZYeaw-9$TU=OT4)Y2+j~W4nuF&@yXTRQN^~CGV9(@7v^1
zz*c#5vRoe3Xel7)Pz7YysesaF;%<7U6p?7DA~GCRL=QETkl#inborPP8VOfI*=b7X
zPOcIXxTAzha+FYYiV|89s)Q!ol+Z$JB}7z}Q00IkVhR<Ju9qT8(^f<=ZxxWl1qGz8
zp@5!ad8Dve9*ND!FWM)EWZGnr(PmksOJvY@4H=YiQ5vm$Hy6<*bJ4m}Qs@IKi4uQG
zpksOx==45uR2?ja>~clXy2?2y>x~HV_#lkRzY3x30YRkOKN}rt7eEg6{Afu5AL@wZ
zMdv+cAuV$rRIB+HMscTMo#`)_R5k$@%y6V*5=SB5*bvM%8-%IhU!Z7BKh*f~0nS$G
zf!&6kux-OTsJ!zne6`~Z)Y{MtEev14y(-UP{Lgx*{Ok#wf3*rW?ktBpBna%OD1|rO
z9>aRkLU=y!KK#Ypg-7c0;N-?^_`V?vTCL51&c!LvLn9GJg~!3k&(W~k{1Ws_34>!_
zf?(k4KzMJ`4{i<cf?I#NLOBm7DBQLOUYYSE=B90c6QkzvmKlUsqV%Ec>m~4pv?k2l
zq6)pkWMKprgX;$cpppJ>&=xreOy73^vn7q7*pC8_>U^+9EE9a(6%B&S0>Fm${h;h5
z2b@%#4;F_1W44V{Fh$2MGBRR9jEUnK!``YMuFiLN)^Xn>wqJIPz5GfZy965Gf3iDq
z)fFEc|1%u_C!dVnwDWL`b}<f;e}bdNU*j2OB_8%2#crZJ#Cy9Sc^o57-d4zxi~TBO
z56?m}M_iXciIpUg&xlliH6~s)mSn?~P2}IE9R&T^Ly9sSiS#lTBL46g*}1@%WQ3e0
zjRS$?f@m;#vM`LC)Q=>dAc|Zux<ZPU#*<Q|MB@J^nRK_Nk(%60BIt3QMCxRd<sG@C
zJ@__pUvQ7qm)s{UrVoivWf8e#P)vBQmy&WGOm6L@B<ET=$?B{m7w6WH)u5K#*j-N^
zyFDXzUeAfYdlQ+n?<M(e+)OkST1eQ(H$*z;KT>ShMx1!x5y5L6BzajU5q{J~HZAEP
zcFDa&WAX#Z+|WmA;`&Ks<0tZE`ZIZ}`jyzM8X%kDAbDo^jZ|n45na(?BKTpLY|kGd
zqDM!`GL<nxE5^v<-QS7A$M2-yX`E=h87EE55ArSk2f5h&gT$&$5Vai>ME~prX-SwM
zv$H42tDFgf(k6&a@B~qGoFJJiCdk(xKZwx%AB2C;5AylfIH`#mCpTrsNqp>ga&y*q
z(tCJ}94H$lOXiG{-5W>9_Y1>B;@%J`d-jb;cMcNu{sHp4_bVxF`9fUrXQG+(iSWAg
z6S<{*#P7=of>L`)fJqOr>F6S_JUWT&j}EfN`yJWZ*GA54eoJ2Fw-OJ&H^hC*Yw{)b
z75Vq<1!<USByQ@@$uG_`lDNH|I5^Z2FQ*zZxUY%~ZLT1RhGm3LiIAP&xg@`)gy=>;
zCc|5bh_c8-@`BtadM@|KZqYl$>vkSVHO?UuO*crMZ5DaimO-xWOe69Q$>c1PNcwKZ
zlhcB+Wbff<@_=3<sge=I#6FbN<_3|iUjvEoHh&^ndy@QH?nM^HA0>5zhlxJt04WLE
zL(-n^AiDfp$m2EZNbn(Z@-Y&T1$Wnws3$APv36ZD_p2s(GCrTYnNlQCzh?qkQ(|Q4
zxFEUzbrz8%Ke0l_02Vpjg#)*~#u5wb@Q!g7f2h2VcSYU6*0zawt6C%$Za$004<5wH
zKi6Z`=#}_^wh}&3KMNbbZ)OV&Z?NJU4zd~>d0GBG0q)vte<LPwK2!emJQLpafO%Qk
z#jGw71oO_%2U9E8fRb06f$1J+aH=5ysK-Tuh82lmS<Q7&ZJiHhmzM%Jts3BQ?ghA9
z+YZeB_5o4NQQ*q_2H!II;Bk3j=pQN$-wa4YXr%~GB+r8;T?^nLWgVEaaVf0xUIk;L
z3}Jmbf~&I3U}};Tth=}o20Gfnm{q%A`Q#qhUf=-p_a1@*zg*z`a1VG=#2f0KI|(yC
zoPin4dFWqx0h)9M!Qk&9aMi4EXdoB~PYPUy-P2Lf{%Z_;_c9imKZu9HAqg;YdlEEL
zOo1t_sW9MDI_y}J33K0FgU?Q0hlav8VNYB(d@P*{b1vn<8&kJn=7Br#GQA7!rShTB
zzWXpB;{hysQvfsh3*pMeMewlYBdBNh7+!EHhP$0g;O*U|(A|OyQ?yyQm={BZW(@Zy
z6Zm}xg{^{R@Lxe0Ji4_U%J!GTX|D>XG+qHc-7Dc#dnGI}u7bI#Rj_`b3M#LvhFPA~
z&@Q_gS~pe0V?))jk-rAIN!370nHuOURs$P<SHlav)iA8A8h*So^S)g*tWc<io0_WN
zrZZLWsY(@m_P7%6wy1>u4HeMDx&jv9a`;BG9Fov7=-El(pCuG}c@y~dK8D7<EPN!&
zLW`wb$ZJ&!r*@S<XkQH5_C1EZ+a5t@lOlLZvk+?WK7^sI58&+^_u&oad>Eo}4<2g0
z19x1!4c)YELAELv?y=2*4j*sAF4r4y<Wm;BZGR1_H)X)%2I=r_QYsuAO@<pRl3-74
z0<8Tn9!kr{!4F%mz%3V}q38X}(5WR78jpuV4e>CzNFxNgE)RlyMi-!_-#K{1=M3aK
zbP}#w?+ur09fSIluF${YFf={y2rKmW!__^zVSDfnI5dANd{DRn+94~rxWWuN01h;I
zU<7|CuZAx#EQg{!y6}_HB6$6>20YWI3JcW~VWg7`G`l7N75@`~+eBu=B}TJgOWh<$
zkR1l|_Vt1Bw09u&%`0$KxE?qemVr>GM<68p4(Ps<1r(kog2(-rfx)aGz|r>xpAOms
zx48A7w!#3+8qol%>Jnh}oe73l=>?M>pU3bj1~R_8S1|wJ6QhMDS%yPtuH3*oLhRMD
zUF_X0ajf4$E?e=gi+ydxhgE&$a6_gJ?tKigKX(hxy5)r3F8bmLjbJ?QbQDI_iMX97
z3kR>bjq7(5Vgomf4|vt!R@X+nczY`zS<;2+#3!s>FoNrM|H4X>JcJhrkgq3%Nmh;+
z8GSBA^1sTGn|~F_4WW6&Ur2+@`m0I!zvvL#r+TC@a|K~sSCbRkMr3mbBw4{G#8`bT
z;VZNvwFVo=fd`w(UFB`$!r7gKHti;i>^|~lvjcHE>qOd950hE>E~M<?Q8Iq(7zv8=
zBAbt$AO`Rh(fECujOF{2%Qol9(eHuey}?By;S)rD<OP$UHzDM~bSOEl6i!N4M3D2Q
zkp!>1L=LXMOpcpJk^l6gN&LJRlE!m|d}+TzeDh-o@Qa(VukmF6L_E2F`zq1gnLy}d
z0`a+;NX)g9i0-2#qGOm$z@ubhubo2TuBMRI$rQ49XDW%lol1BoQb`z-M&_SNBMo=c
zNYvXj;_@erI4Gr)lgrXc!3=(xYnD!~8K;x|tJBHW1?eO}IGqf9N+VfiX(T%;jr`e>
zMjpzfk!R0S$(DdrvR*5dRM(}DYR43^V?3FhKc7st@FkO`^GQVLM<NkCm`L6}O(3B<
z2}JecRdV-rJc0A#$$Q5*l93rp!dtG8e7-A0X-N#}+!RfOT%*XXfXn3hrAs6vK9cla
zjUeMO;pBO67&+?`O6KkhAvZa}grgipevV!sT~&cZLghRW%JU~Lwa$>sX{X3R0bdeu
z$eZwRj}uuw57KAmMw0xF5ZmlSWK*ppxzTA)E_~ZdWWVnw5yLx)(1&fLym1Tp@4-fL
zE@B<&-eXA?FEl6Nea2+*HAsMs5&1m5nmAosNm{`&;`2(ExE|0Z{ht>SrK9RZ|C1^?
zykCiQG|G{uhSFqTrUa?^JBO^=BSiiy;3pq>XA#-!Q+Q<6cTCF$aEIwf{D5}g^p$V0
z(Dg>VRk#+vKU#+8JT1m%>JM<wi9Eca<{JJWk&Nf;zJj$f!f||8AU<a7jlW<gyl?e(
z9C^<i8*1od-K2$hfv7C*ydZ$#*Z{k$?>QUXna^(Qie|SqJFu41>TH%@JvYu#iEDPW
z#LzAKmXTV#6r-QNnR(O{!h|l*X0Dv6VvgMHW*$`jWk&algFPEnfvxTmU^2ykeWmNb
zpF_KW?>}cC7v>8R|6Bl3dJ#Zw`xVgTkpz+gX8hp`IpEZpdw}Oi5zw<@L4i^wFzTrT
z{;5qs+wu(<{qPQ4_UQ!=#y<n`Bg4S)*$-ep?>9KGViwHWzz?7A7lc(uM4*GK7z}ih
zgtNCx!xxMk#EOdW&ag5(N9I9=Ky_%xEQAXNw4hy_4t&3C2~4P73J-2t0reVJ!8S7k
zxZ%Dbbe8~7%^5+PLSxwf-4s4sycYKDvV`h>*3dP2J-n5&5!R(_hDFg^p{?IGczxFn
zcwT20>>ja&5AWH*kNfsQms$JavQ&Ghv*-Y{y5$JZsvd-F=pi`y;V{%$eFU1Gae)R!
zuJB)%8;s>~haY4-;IPU}3|Zkglo9fT>I0szsnQF|T=s^;>wMt8X&<;N>jZpn=nIEy
zd||}elQ6&JB($4%3P$;zf}3hj!4yG1=mq`YyF-4kEzl1hzv2gP#{0oDk$&*k2|uX4
z-4BXu`oW^Fr{MhTQ*fWnDd;_R5_*K4gu5kALKx)>7yUf}wGN(u7Q_d}3Hv~$4c_ou
zpchoU>j?{<9*0#O$DsX3517>L4$r+h3bjhyU{0(noa5*MJv5KN?#{#TOw=K`b;Ut=
z=9wcDw>vO%X2%{j?b;7@YxlzKx_h8Q=x%uAznNS7=Iw;dd$&W67#rxx-2x}uHo<wL
z8{n*e>tGq5H9Yap0-B7OLz52EnT&}s+>?l4p)-JFsS!*WGJtNm`f&5EmC)tyGWaf2
z57w{Ig*H#MVaj$bSlzk+j%`zi>+9#i5d#${bWIUH=8=ag`()suhf=VBM*=QdFA9gF
zgyHh%v!R3lKP)ty1^t_TgA(<h!13rPczSmL7=P#kGIP5@ykR>Kv26hj9!)?ipdNUJ
zRDoZi1V~&g1_GxFfR6JW(6l8RSn6kjUg>1;V<;B9dU6TWC5Hf;m*+sVi#HgaIt*mP
z?LeO7Ca@vF1l*9*2i6ITK(CZCkc<)s7X*31UA_V4;ICJV$7m@d`0W}K@GX=P|GbxZ
z$G4a%b{sMK+k4q)hk34{pJ{(-?%8zir0zeiQPXmE_D4tdv|9x0@ZvgqZa&M#*)_B0
z{J*kc=CiOU6vM`g6mb~8CboIK9E-<8ywcnnFaEF{yLmfcrx7<Cy6+@j_%0A%ITwn}
z6)xlHyjbj|mxK@9O2>%`H*ifr9xnLr9+uN8#KffpJ6$8V{%IvH{#1)cCL1vP^AhhL
ze}h#z+p#g*g|CEv#I4p}aL3d)?3p=+_pSPgJ-E|&jRFr*+{jDJ{P;<F`fMV>6(T{6
zBIHAxD3R+FC&KNLB(HHUX)BeP(Zh1&fv*BtVx>ezBvi=P7pg=kY(6nutxjCqHAvLS
zg(Oy3i@3%wA_6ixWcQ`T#O9YS>D#YIW^<R4+ak+J)wUJHGIk|dT)T=K9@Qt`<{A*Z
zcnx`CXh>!uBjUP-Arp%LxgidT^8h5M3=#D(4w1ApCVbPz<X4Uf`DSTKI^Ua;dN(t2
z_nR3Bb2cY?-<T6^W-S@Kx|ZDTTT2cuu^`H>7Nj}Nf?Te#Ae%l|5cx?9GRA93y7?^0
z*C`7k^VxzNY_K4`*%l=6gvE><wIF2^YsuQ%YsrFbYiGu1PGrK&36wS`{Rw77Rl<yn
zo--v!`%FlZnF$F_G$v*<vA#|X4sqU#$Ur0{XC4Bw@C8GDeJ~=TBZf0R!WyDIWI%Ry
zuO<S|^vU|Wt7fjUTuC~2tRTBomy^QxONl_D9&xr@LcR<wCO2br$X#u1qQGjAzvi06
zw{`)!YN|oJ9;*>ejrrthm@4t<S0<37M2uq;$kjGEvQt%-r0<a?L9tRqt4e}o4vG<e
zDN*9HOoRwp3z7Ccvx%S!KgmDNOZvTdNZR|~n6GgXa|*|CP}B&PbQr`ci$3F?z7IGf
ztqWhaeuuvdw&J1iX8cyA34grx6tB~Jg01gVU==ljXUCLalb?lnw%vW4{%D5BB9enO
z_hjL#*=e};OCtWO6Nk?pj>3NF;dsr9ApCJU0Jqzmzztb$c*U0k_=>JAc5vB*7iF2_
zJ+F;$An$T4u~Z9R-lc*){O978Swi?;@E`VJ?HBfhU@O~gRmDz)-)9ROQrUl!VQfQ@
zGkb5dF&i{4&t`4z;U>O{<7x~FaSeIW*Q`xlW^^Dw$4F!UccXRgYK)w?6{8mC!EmM{
zm`5rZ%%vp-Op{JElO^5CsD1g&xZIv*8gvAKn~x+=ey9k1do=*B;1Y0f-fEz&%>msD
ztiWQatsrrDH>fIe1n8U_xTWU<Ql6g$yY()DCr3kp)AdO3uQ3|9kH&!$bCSTIavHd)
zaSeFRzX=x3%>!4a?tsv@_d(~~Lg0R)7|dSDf{>3C;7gU@!lEbOaY;SUhR?y{M=yYZ
z`fCt&p%nzbX#*mv@4<K5ZZJRe12~%34@&VD&{s7Gn#nM*zdZ(A!he8PyGanPIt>oK
z{sVFm4~&nT1>IlrLM@3I{b?xxXP=r4<+B7~d!-Px=n#e*hDG3qsX37UpD4UJEe1<Q
z#GzrQ1e{+Z37u|8!QXy!;YTZJC_57~j%bpBOsFi>Fpz^xryLACCl5#E6ku4M0yJK(
z2xT8CLZQV<P%cdgLVjg<`mi#5UZxCJN~*y7b}G;$O$B~xQGwaBRpII7s_@7*Rp{le
z3e(Q1!oF}-xbu=K90*Z`_xx00`axA#WvL3)HB@2c4;7eGsRCO<RNxLX6}arDGIYyU
zhGOfLq1tC9n14<Q5-}yXD?t$k$tuFF(F*X%KY2LhDi2$q%fT>hIVc_=3r{|ifsK+f
zP<5*`^bMa2d%053>!T!GE+h$;XiC6SKpd)W5Q9s1h(f$;4t%{$1cq7*!;fo(;2$+X
z_<?UW%<blfyG!`soN!*)yloaNm*;`?`F}v3+B7f=p9Ezee}J_H-@#x15g@_+2C}|>
z1?^Iw!RMuY;D>21(B04liq?045|cLItk((#C0_&IffryIeGb-zJ_X+_Yk}3jDiHLb
z9JJaJ;67Ojd}AL2)dhthA^$#*TyYna<>!GH3$lT4d=}{WoeoS7q<}h_0J3G{fVfLE
z(0?2WEdPXpGbTac@1Ju(!TS`r@%}iNZR!GY(hq=dBfA0Q*npqG>p;X4Q?QqZ0j;Z7
zg1yd*!S*-}pvNkKjh%CW)ISmMS%nWA_ncrVZ}c<CuUeVfKefyv?Gh%)CXcysCW+aQ
z9mZs39%p_}Zef(|mNQuul8ld2uhG!%n?{*0tc_Z&6Ag2<)|EP)SjMeboXGX_Y2n_o
z7G^U|v{^khE4HxjFxz5vk=+s<%O*X^VuuDFuyK6lY=ux0+dkdF&g~drD{f7(i3R+4
zGp{IKxlS5?3s%DO9;;)|Hf<a;x(w_7F~B3!2uFTfi?d&Cz=L_)u%xFQCOQZ3ofc;t
z>gj=n|M=kdr_W#~pFsThdJwLv3&ltJBJjDX%lPx`EBL%fJf1I*i0@4#WB#r*JgY1d
zhsIyWeh%5VNIefLw%^8=!|%=D&<A)?-3%wz_7TqOD8{9>T)eCv<6nAZcrv^KOSe_w
z<@26kxVsLkhCRg<cN(x*btC@q;sxIO>J?s9_ZlC0_y&K9`43-rYQup#@37Cu4(t)%
zi5(5PF{iNy|FZpnFSLHd4c7g*;r=J=BlHE+onLW!;s6$E7{ouvzTv~-!+5>w2u`0r
zig(G5Veh|V_*?sTTzO|44|)8+-U}zNb<+g)Jo<A+-~PmR&QId9iAlWB@fYqY`-Mj&
zrtrQUQ&{ct6t*at!cA|caK)!7yx`ju{@XW&cQsF8gTg7C9WsUUHcsJ<f>Sv4@h^PM
z_7^_<Z4ytPoW$<qKXJ|BpIEYC0z1seEBE?=&5FkH<mc~rWbSutykZRhFdxP08%A)8
z<uG2fW(aGme8b;<4B*Q(U$Ij77o2bM8SfqH#~`*3AJ+MZhl+dgs8J7&DD1+|)H?CY
z;0|0g<FiC9ZNukI{D-d<yurdBUgP(3nz5noORR6&ghw_#$Kf{5@Vt%n_&KV@kF;v=
z<m@W^sIwf;zEAO7UyOgO;^LOC#rQ?aBRt2n5a)G2z;%B4I7;{~R*t`g<7IQPLhMca
zQs6p%?~{oSze~fHU<&q4O2pQK@mLeYV*TJ~oLYAYpBIS0LYz=+>lK8PuLa@{v1hT|
zJ6|lN?1|O3x#7gXL%2NG9*@-Q#y;=1;q<Q?anYD178y6eLqiO{|3M#LYhH@y5N&Ll
zrGXRAt6;l5a=2%?B=+MI!LH4GSOQM7W{pFvj9o9Q-Tj7DJouCi=_Ra)Ljh~sc9Z4V
zmc(9r8p$?Z@Mjx653*++*Rwi1SFjTs6<E&IzufAy=iG_HRBltL4R_L|qx5B`UP;TP
z0>iH>fKlm4w9&w#3L_afYUC^{#SHlAFlXvanSp<HjEK57^Pfxz<18A>q)enUJ<Ye6
z`&o~evkn!^ZSm(!QT~6-jKyGdxI;|j!YSrO887(ZC<J_`#Q^^$Y2YHM2<$J-12?A^
zfT;sIKnpJg{lfa-&qkw}tKB$Y{R4Br+hh%NyElQ0ecQmZ_qL#=ejjkjbp#tvIs+@i
zqhP_{aqu|y1gOzIJ!69dfR*e8;Ilpm{5ll^o@9gpiX*_&SC>F@R}`r3ivbZIVu3_k
zJTR$E0K#{ZfNfX`klvdHbhI)+_~%TZaw7}0Zo2`pr)~nDlpLVHEDyZJx4<^zJ0OO8
z7lbU%2O4qrf&It>pl$IGoVij6%$kdUugGH{W>gG#>`TDf)1{y(k_)cJu^{FO29JUX
z_;ZW`$1P>xy=FN$HdYSA9#?=Ok4oU6QU$~+t3dJIYG6B94TimIz}XpI#c#(a!1LJ?
z(577r3<7FFWL+(26|4h_oH}6RRtJJF*MY~`b>MSh9avCO2V5W4ftu@ez#zO1)E%k=
zr`Obh-8^;RNO>)IbfOlRtJQ+}RZqayJx@T-=Ni!MQ3GtgR0H!FxwN_pG-*_U3x1WL
zzor6+2vvYTGv&0Nd6$8JR0?#s1aviFaQ__(a=W;ot-Tc3HI@Lwl45Wn`7zk!^$6TI
zEds^Dh2Zql0w8kX0SH)r9}N6=4;(plcc%2t9q=jh7LZ+(2X5u%0Ipg#aEQAB9{$b(
z^$yp-OeT8<N2P;I`&7WqNd~h0iQxJC1TeWR9u%C91yZ>&fT@iF#@&~I@puH-$r}zb
zMM8mrSTHaWxd^If1%mgV&VrK4Q@|$H2XyW_4l?H+1utrxL9T}ra2B%%7TI<neC1By
zP`VY&HP{Hc?pgr>C38RnIl!XZ2y_{)1`UzRfqAPgh*DkzKJC!}QCC&LlX?Zv_){8m
z&BQaUtwex@ivW-h;Q<riCu8gUjTwyi!06|-F*#)~n5QqFFf(e1(fss~@fgfwT!u23
zf^YFm!Pf|;ui-p1Tz-@}S7^&T%r<9Sla?{*my{WYi-OGNU;ReEC(4Z8|4TG-(X}_)
z;VW(=6nxh3s!MRmsT<{`H$E-p9(x|Z?L)cTVZTPMX~H=7V!ar<e6>3JEJmN*@}Cvk
zBC?k~sB?@JPYGnD=SH$y&&RVHy3^SV{am);>;v}j<5KolcO|Rv_ZhoWw1qX9^PY8`
z>SO)dhS;IJpKQrW9^4epkN>?9!iq{_cwmPVHVc)-L-~rBHmKsjE_E#SMH8?1tb?mN
z^l)nJ3Vb?eH8whJgzuRm{P3>{o?oyQH|(^=p~D;SvVbi(?e8{x(`Oe}>#)P)Yxd*u
z&;xkZ(}VcuA7`Ae>4pVOJaErOPb|OD2S=fkc&Ykn+%j<%yOf>7y*LmbmAZ(_9D?wR
z++dv0AA<kQ3&R3i!*R;#2wapFi7ksSVXLQ?aehk__I?|UqgrC{X#JHL+Y^h=rN-gJ
zQ}MWS<5g^}lz^MN67b24M7(r+68_1PjGJ<k@%^<aIKDjv2e_nS=b==***y*G^`>FL
zt?9V!aXP*soq?TPGq6%g25$JBfxVbaEbEzx3o|nD#_CMm-<^p=CNi-$|25n!d<{nl
zUc-C-WMa-hCI+uE@!kiSI4dL*OYg|USSb@<Ys<hjS2FM_lMFohDILp(r{k+?>G<5k
zG~C6c;c}9S_12`~m3LBbt85C^K9h`B{Fj9PElI*@XA`k}bpj6HOTh2pRcwAd9#_oF
z@nCr@Uj6<Gwi=JYdHgZhQ9K$)N=4yi;+OG3{!3VYJOV#@AC7-igyA`vp_tD%1dmt*
z;}4QSc;w9mtep^utuxNyL4JR{-|;lAE<A}h{PMv{tG%#;^D%4`briq7?Sc=G!}wo~
z6Yi^az{cEtcy*2)9t+!rGaa{M=apNr-_%Ad%C5s(yezS+nmG=yGsa!c5MTRih`&d#
z#v%$Uv3%-MY$2<QUqmdz9X}V~>kevoQ>6-)RaM0EePnT7wG{3W7srD;MDU!%+1S0A
z7hjV3%U(G<!CJQuv63r3vD*W?*i-fYvEPJWvQifH?7A}*?5sPbY*tGF8#{H2U9NJS
z?KDbZMR&xq%10yEQ|B+RlNvs(y7@uY;J|kF*BNux;OZ*&$-M=v&l71@zKf6TAOFOq
z%j>yQ-nY0LX*l<|#x`zn_gwBF&%Dz02Xacp`E(3<<(dt19xO8Ysq1Xy#ECOX*z(Y5
z+Uli|q1LdG-S}+gyQLfhA~l&qRG%sCGG|VYY-7F-IWmXaJsDVdo@r&m7~!~RW>;qd
z<2gTrnc9)fq@26U@TV6tefPM`a6tuAn^(uE#x^k-?r#_&ri1x4*~=`t{e{`EeuNR~
zm|!&Q|1g@LX8~nJ0nlnH1oWKdfLUk6fnJ0Zh>no~v!dj|;R{M2-dz<O->e4SXe|J@
ze`tb6RvRojsSDy4Ed@WDmV=e<tH82<Gx{#f5DW?caPBk$M|zDxkck<<@oT~4J4>Lh
zxDKdq*Z{tGZ2}HaTYy)F4dA=69SEiE1n%LsK*`Mx@R{rd@*?{Is<#KOXAXcUH79V5
zJqV(#4}-1GoWW~j7a)Gy6$}d;1@61t!Rb^FFsJz#Q2lcpWGQ=rL_KftZKV&$(meqR
z<$ZzlPhU{^^du;WIR(b8{lJMIen3CrG|<;R15VvP1O6>K3u>;O1+T`>0%dD|a4Xs$
z_}BY`tRMbBN-h92=>&kj<pE%?ZUBIa0U%<^A8dT#4<eHMf#r68kjm>1!gJ07S$Gy~
zt33nOuRQ}qicf=F<<mgj*AK*0odP`kr$C6&NuYDk7w}y;0aW9CKy->XaJuRR?ge>*
zpd-h@FXLlinV1Jy^5Q6%6Y2)KR=9%d<|Cld#Tm>UKLm1590a*v9l`Ql2f(fpd$2})
zKlr?7FNnyn1A48tV1$1cnAF(;_E~HL2DV#4p2KF)XulCW*|8qnHMIseH7&slp0&X0
zwJFfcFa|mH2(-!r@UGqvbb1+pZ*%p*>U%3dCt3zX>X(4F^^1XL?IJM3Xo54hG=Q;$
z8rXYW6^zv@0ZkPJpz10MW);i@zegm%;w55$>nH*mV+CgzAN)Y2cNQ=c_{&^{lZ>z1
z7_%~FkXdlIpUEuiW_q5sGiHq~jN;QKrj*t*o_DL5t8s*J_9<r2<^slf!5s#DzsZP{
zWiUFyNz9-{ER)T5iMd9DnIoV5nIl^~nYRT88E-LLrsnW^#+yZqn&=9~fA2y@?Y2CV
z^FxHO5BhDStMb9<L-A81c1MBHhlxa^4d|><e5$n(zmS~KJ;^#l<x^`7E3T(LHZ9#$
zS|ig?`a4XXt9fW0_ms+6?s3~h?pDzU+~m7;T&Um8?arR$qH{uQPr3~IJYS8qDOke(
zyJ^VUgs)|1Y8|lAYWrCD`Ut!Agb%xd?>t*#9KvdhN3u6EudshPiR{OgG*;!nb=ILf
zmp#4n9;;CPkQG)fVfl{}_SK_GcI8klJFN7aZD3xp=Qg#n?c3h5_ttl_#rl2hL&>k~
ziOwOmHsd?%wt13WGxD1~Q^|wZ@bO^=31FAwg7{X7F#d+;VC7aZto&I5H;qbRz3<Xk
zc~BOIb;x788by5ZrZWC~S{0wSnvZow)p1Xq297zi5Nj>e!Z9_AFy5<!Q@<?6s>haK
zqc3{6ea|vHQMDXLs;|TsPp-nRD)sSEJ_EcFtijH%hB!CM2#efe@WoPqCCVYr#R#MO
z9Q-2D7~A=p;MR4f*jUC4C$^a3*OBIU%wR44_I53<@wAx1iWYe6f+b!zZHc|ztgzb)
zD{Qpb8n>UZ#ycym@wGqJxMJBlTw%KoU-MmuZ6ns<>9}<`YNknsufyR!>oCvGbvR(j
zIxH|{jnk<$-g3$s>nyUyOB$`PtE(0MGShcyuqAHev&4?4EwFvxTHI<i)3VI5=ZG0D
zGBCr}eN6HCJQG~?${5Rh=U|(eqr6v@5FS#4*m>T}yrdaCJ!5N3de`7VVt`d+R^#s7
z`gonvD(vxk1-1`fj`j4G;h&9q_?7b#-1>7d7Qdi_lX<mqw7(YSA6|&1_AJ1!s5;)O
zq=xH`&%?T9D)_p9GB&YP#5#fU_+*hR=5$Nr<k@p^j+P`oZz7JF9in*3QDi3fEQCjn
z&c^#(_%U$c#l>5BF!%ItHpgm`-92ZVm3=bI&i5T)%alK{O59%7Yf~r7)7Hky?0duZ
zx4vX=u6xc#JgQ^g$yc-Qe9G9mdM?`|_n39IFJNP?-DPjL=dz;`H`r9;4EB?2GCMye
zo(+5u&2DOlU>kdb*(-zR*@-zP+4&3I+54-VSQ*pZ?11HFw$y4ZJ7CVRB5*l-cDWWi
zsIJ2HO3r1Q{s^)r&C}f6+)v!0)33P(o65Nk>UX&gKNGpGFE4WY_w47=d8@gKL!#W0
zq^G5C`n*do*XESC-AGvzyWHK-I{AsAledVG(w`MZk#2TI*Y^b)9s3?{RP2{$bZme%
zDqi1YRFTkQl+-Y8l>dW|kv=2FB#+54mG)|kYMBlLC08*wc0lHDqy<x1xS0uVuw{O<
z9AJW*T$$%3-i-5=v&@L@MW#PAlo@#&$+W7+Fm8_Vj9XF?Q(2wHtn9zW1pmFsB#Yjf
z>FXY|Qn-LQ@Uw`CXfI)+3o!%Fmoq0!s+qq(YMF=Eo-rp-6Ql6r72~$!4YRlLEt7B5
z!I-9WF~0_SnR_ex8B4b>Oh&>W6JIpUh}VoUeYHQBUwD#PadVnE=Kq(eyvYOfczJ<~
z9UnM)n;+<o34p7s1pi0TmB3T=d~s`8OSUXo%T|(*H#7GsMYd##l%&O$Hlz(DyU1D;
z$u4O_i`<z(MIvh=w1@gtN-L$s@_+yL`FuZT=FGk4&YgSTJ#%KxoMH0!iZCk*MH$~V
zF-H8WIHM^p$&{+iVj}csGgp>MF}h3UFmDz}GkwxB%=B*=#;sqL=_{9Gb{&;x<Sphh
zo%{++Dpp`zb|^9`vy_;Tt4d6@g)+0hTba>zpU1TK&tv=?RG8sf6=u_XRi-LRm6_^S
zWtM2GF%Emw7?;axjOBnDqdQBT88=pEs+`rCT|3kng@fu$W0*P<9HP!>1*kIv9_mc_
zN_8e#O`SRZQ;j)$PmO6$RAUTn)R@*ORVKGwmAT}q%J7Y;Fz1t0m@;J*M&$fFrhmaa
zMlD~Nc{^K~VZxLcgO`fTeW1ulrYJDd&*n03)#frOTjUvyGjhzOCRxVxn+(&-yVuhO
z(oB@a9Hz`!icxT%%?!BDVq{z;nMP{~-ufGHrbk(fahVWd()(sI1(#<qr$U68Bj!R(
zfPf$qa+{yIa)6JqwwprV3jU$(AAh4}y<f;<%P3l$@C_X-`;6RbKceZT_o$@#Eeg6l
zh|;dSLdI#&(e9m3P!Q@xK?2>Vq`nhzLfVj<_5)<p-iW4m)}w*xIy9X^QK~G9nlf&p
zXX4k;pQBgN%J&!1lwB#>bg>8>o6bX5opO+L?iuuK@DyS+)6h=OB$SYG9KCLgK?~kQ
zpxeeFsQX9|`d8zRBFDC&?^^CC(#aXs9k4}zPpw2Zu0XW-&QkQPLl4<M(Ll|w6jA=*
z9OO1AitJzUqqgg#@MG~CD08w0%7ov8p*wCuALkP2!(_k!?HKq^%MSt}E4X1;3qI%*
zh9kLcz_U0B(Ac>k^79?jJtsTa0Bb)idh`Yky!;)zxhatOcR1wYtPNzo#UXO4`~*o@
zm_xd<E|G*WOf=0Okh0Kzl2G`Ltf~4*KDY}|_lKf%63(GTXBFu1XEo|*sza{?8_<B_
zWz^?Bm#%(pL95@`(M_+M>2T{tDt&1yO$qU%ufbm0JG`IjB!$scsgbm=GluHUJWdrk
zC+LYSDRf<UI<?8jpz8|H(6#5!Qn`X$8lPT3kA@V}9=B4uchN<<@YiMfvbvl`?Y%}n
zE8e91wYO-g3#NAlC^hu1qfejRp%-{_H_?|GsViSIom|sG_b0c}l==?Je0oTIM7!yf
z@?$!t*++F$pU@1+XH@0;b6WP`CDqA%O;cP3Y1fQ5^jY~^de!C~)$e~#*Sil>$%h~5
zRxm=Bp8iY^{P%^b=zXIq+rHDl6F+#dVMpmS9;3Q-KWSLiFDg{Pvx|@ZrrB%%@WRLc
zrS%W~(y8EobdA&mtu36ORtqNS$DB!8CNxE3wolQ}>r*skY>M7rI87J1PSZO<)AUT_
zG`$uxO$EYuY42(3Z$3>6rKYLn<0<NpG(|g?P0^m7N$Tl4N#j3G(2d>`wCCYJI>YcE
zm5TjK-?#mtl{5d)V9sx9>oHDO?EgjmBYx7Bh%p*}V3byQ{-B=BcY0d#8$I&)3zbX%
zOpln4(2oB;Ql-dYnm+pjHOYKOm1g}%J;Qk(-$R3REq8z#B)_5^k6zI2lF#YC<xeU0
z>!%g5z4Uu_54}|Ki2geNkp9c<pbwJTXxzRQy3V1Q+GyUVai1Hg!L_?|_paM?`@CAJ
z*F@;Z4wl~IzeW2qZqT)=*QiZVIekCx3SE2hBF&j9rN4Yi=!wQc8l;j>9|fMH&ug-2
zJ^vY+x-x@C97(4aD^sZTs}t03W&$-{6h{Ybqp521G1~VngzC=OPd#+^(st7ww4J-1
zmLm_!8m_0#YL2vFhAj<yzlyT;T-tuxl>YQKq$T<bsqVM=w7o)we)6A7`&H-A{w^_U
z93e!p>jW__{Ys8}8zO3)K2j0dLI!ay3Hn({`j(WCcK<WvXJI1wcs-P)YHlM|r>%&n
z_+nBYCquL)#;~DsJw_-MuX$pMXLc5|n_uLc{(khGbEwV}m@g~>2`)XL^r`@K$yJ8&
zhfSc3*;=SK;tP#qj={9ZB)INI7F^d?0_8?3VaJaeDEF}$nmp=(m1VDC=blecUVR)M
z-NuhRb!MW{w-RVPOB#u<R6seeRgmZY`AB?17sZDfpx{r&=$tb|l~<Od^gkA82-%|e
zKnJuu%LS3^8&St?Pqh5D7rIxu1DRy(L7x8m(1^hy^yFO_YD|kjJ+jeAYEvvq&x%J&
zIug*(-xKJldJ6h%mWB*nP9lwM8R&}7X>?~>7DBFPk^G8t2x;V@Gk^2Z%(g;w{8TX#
za6XUxXIwznZj_-r>o1{`UoWFMkyjC#S%E&sR-%P}uAwL1H_(s9o5+9OEu^)p8mU*X
z$npb5$qE$xUS5O3J!;X+fI5_X=r)o#cn2Ndc^AEMsYe<n4ai*V9&e)Q9umoJL{}Z}
zBZbNP$fK|cIm2e8_@EhO+CM<eO%G6mX$y+WZ9!tcThKb&R<u366@iXc)I8ma=Igd0
zYpXWITlj~BecI4@?>4l+y$z*XwxRc0ZD`?SE85%IiY}+Lq9LnRr1h%>C7o+QYMd7I
z;=u#-!07?{-r0<HSTv(06-{X4>?SnscOQx0YD86k?xAs$d+38-13HsdkLFa~Mc()C
zpu+Ck=t*B4QtqxrQH?c7s)C~TsRXI*!04taiy9_xq20Ars4n;>!s<6rT+=mV;8Te@
z{*<G*<5$sk$t&nY(j_D&a1p%=x`4ow^GFetppx_=Bsx@pJoNKXd0;M*xtfF6!EAI<
zDho}6)2Mw@23maRByvtlL)JMdXmLprlDUwGbV`n+gq%3EIynY~ghcTo4j)4oqr%WO
zbO;Fz??bgId(j`=ov4fYpaT}$5a*r;azh)?{7dUl^K1tc5nzk*?^_}_Idk-%Cxh||
zOwo;JOVO^`i_sr5T~y{bAC)DlqBUiTsOgR@+SW50tsD|VO(Vi+<tQI2`ZNxUhCjo{
z18?A~M^B++-9wmMavwUz)xgJI*Wndz84QuhgGKL8!B&z0x66h@#hd={rjsjN@MQ%&
zk-P{BFP;mxcL~6-uP=a~Z58ORNCKNzTLH5(A2~t2b2tqz4cVZ5f7tV4YjH(pDmG52
z#=ksYVFNKiviq?-*`BhH<Qp$1LQT%(n}sh~bv1;{osJ`0bJNJF#b=4#jbidp?<#qi
zaf@8|dYddV<8{7|JR$;Do{{6NZ^-YbBjn4IpJZ<H6#4N;kVbJt=tPDDResNlkZveP
zUj`}Ci3=)JxkrP}`Kd+ENGzn$iU#zSvJw3tZAyPkL3;VM8GTu`l6oCmO{KWDwCA%u
zJ)Gf0Tl8INA=yA%pa-=q-$Hw2yy)J&zO;w<(;vTg(>n_T=_`j|ihK{!D|<ueO#dU)
z+w~ZA;*Ik<@kdhyuNYcZ6H8x9#?$JJ$Ejv+0u_9cNDoLPQ74#8^LYB0b2OFeo=T&>
zh3WM9g_AU*^b~c=&7k&4nba@%G(GElhPLZwQPJO7bmg6F8hY$3Enb#GYv1yabdFwJ
zm`iup=hE3udGu^w9{uT>PZzi4)0MD*Y8DjG-iZRbbzLF7Ur<OV-xkuDnnm=DTM<1M
zQ$*3lB1#*JsQS|)>iu64jUFzd$9Z%=FK>6hh}Wkmq7P$>Xx2s^Z$S~=`Js@8pD(1>
zHWpF|;X-=yQUP_h;*Baj&!^NspL&1EqkH${(Kkc6^r3SuH7DmNqj-+q-<Lxt8_v>K
z5@+dg$87rhL>6_tbA}!tIZf|KpQaN_GpUPR25s~>Mg9FwQrlhW^yrQ>s=OtYsyn36
z%baA|qm)Do#}lb~X9C@uf1IB5kEezDarE-X7}`@DO&6|@qE-BnRKhu&hG&G)hpmUH
z-S`1IS237wH4LO{%=XYfD|XTYz>ogX_NLdxx6!V5n`s7ir?aBmXoR^76&iP>kIvgu
zAv;?t^nNuJI=YG~h_0Z=QW@Se1N3XO30?ogkY3-knCjQ+QPa8F^viBdx}U1j-vY|?
z+UmKKM$1rtI-8D<h|_o_5xU$$h%Vp3M?XvcA>)?c3IBm%;(2b6#Me9}<BuN^{tqo=
ze5{@vogidr>N<~JB2Ru65zkL&iRa6cWMO+EalujKg5`d4LDrkxA6!Q?%2$!Mhm456
zxh826l_tj?^OGMd-{8vw4R}v{G43{r#^;|};9uJXv5QzdyUlLtt*hP#IZhY;ay+!n
zfN#f95HUX={B5oSi(OuV#D)og#Ad<6=T+cKgT+wmA{S~&*~1UM9?<gAF4*!U6!wP3
z!nTPdC~`0ZN)P400E=Qcntcgs4_$+=R585ea0f>3Yl6w~9q>%bV;+4DTY`q5gZ(h9
zQuqdM_x^%PF_X|qN&vOF38RmhA}F*~9QlsVLZQmisMu5vUA0j_DbC7B+F2FNv(`W<
z#tRT5uY*Ls>Y?E}ebgJh1QnYZp`~9;(56fd8eW3X>$_YeZM^~oG^|9!MwVz(wiUYi
z!v<Ylxd!>ftwq&!jwt4%GinoeMWGsQXw#yN$VqP#3RK>VQu((a_W4%Sc4<4x-tCRJ
z8onsD)enX3@JG|*JCW|u-H09CgW9$PAZ}eCl9{~^8My|d)a3n01s_1YeFst7heN3M
z^I<ggUkI{#6pD%~!;nnW5tO?6C{md`irBJnWVQMj8t6TSvfU#Pw<`jDniq)-)<mLT
z!I8)&GZLv)MxwZTktp&}B%1v+5}7@VM8dt1XkSYtI>JUGy#iiYB<~mxUYTJe@|cW3
z<tY&;c1{EuNI1r;BkvmP!cq45qv-0#BPeCT5wvt&7<#=w6lEobAjgcuNc-d=WEgW0
zCGR|dkmY`KSSA>0^#`G-v_N#38-S8t?Liw4?nYYtyU>hif28!=4@G+WqP30Qs6fdJ
zMfz<+voCHz2VZYSk0d<Md_#A1(RKskxUWa^x4NK<9?s~7gCjZ!)*?m4H7Ng^4O(@_
z3eAt>>8Dkz(BEGx(5ezMwA-3N8{Pl}4x6G4f+nc@_)>I9XbJiks*i*}=%IfOI%sy~
z0yJMl6Gd!NLyIrWLkB-8qKJia(Lrxnlz3(idVX&fiufdsG9*P2XW<N#w^9)Oap6Nf
z4S(Ur$7AsFi!X4=ix1GDX9(_XcmZ!+>VwINUC`326)KxF!sO{X_@R-7dt<Ld_vKgM
z<d5@kxHuoKcF2YyKTpCd*-0<}#KG=M;qb+aAoxwp2Lh7~Fw)%)?m1!xzvmc2DLfy(
z?~#W}Uq#`#%wMp@ZUDH(G=W8Tt^y6d3~)0g7y!K$V0*7P2-CaH2`rQ2gq+?~J+wNC
zJv#l4ea~p)2YnlH)`d8n)tQgy4YByu>n?nzX&86e@sos7NuoKbNV<%)$yaaQe?5LV
zd7EuVG|st^x5-{aa&G|9V8V#Yzi3kWFoB5Yq!OD=nZ!gYhwP{+An6{Z#Pi!_G9G%3
zjE~<U;=5{yc-LJ*ct%0xp*B)k-9=o6dr9N0=j5990BJP*k2LCkB*98wN#~zY65slp
z*d|YsJ!<@P#y&y%k_yxJ6Eo>QQ!)D9UxMB~HH)sTlA@6v(saWsS$gT6Jl*h4fo^}P
zMC;n-QE*+AcBiP*J=-<uzeNk^q0d^hpj3yRcGaUx{w}0mXY}b3Jp&qbV+n;uOX=E+
zM)Z=b3Egmb88zrKrK{8cb@PEVq5#oHT?|$H&855LmeZTME9kqW=Jc=OO8Q7^72Pdm
zLEn9|pa#vB6lAQX-(0QeZV78zN37|k%{CPLw4sqPw)D_UJ8BSRM-P3oqkGn`p);<n
zp^(p>YFXLSmM9**X-^%V+0!}W_B2{_EiIa}mIlmTOGgFPQf9=SI=0!<d4=}$?k;=k
zv&f!`46UJeQ`gX#rE92Ds~xp+x1&z4Y-y;wE$wZ!p)p1_G$q}dPQA6Fua{U+oqemR
z$|Xx$+;2hKCRWj_3afZ>R?;aGa~isg=gF(ToNiJ!qr-e$n)MRVl<SbbJ_=~{3Jw+d
zyNtfRVnTh^8`Gj+OL_CkhV-%e5<2tpV(Pv~pSGUo^=ahwXmq3wo%u$K&RM>Iww%<Y
zmao)l)O<DCvt5P4v&yumMUh?}olD=#%hM!dS^B_Mns&QO(E{&T)N6+XRq_?1-#3d;
zCC3@`G$TZlGzI7qA)fBK`;ROP949U^qa?lj3o%*#ksQ7MA0ZZlgrB@1MC%C=KhZ<f
z-*pmO)JhuT@00PiyX1{%Eon4oiTu7BME+bkd3yUIIsT%ATpP<L;WKlHtK4a#p_)$Y
zG?R#_W;~HpjUs#WLx`7L04W&vCIvn2#Ne_c`F><IxoyLcq&Z8;M4vYCIy;Yexl5A?
zc@grv^dH_b?>!Db*^SL--o{^!UBafnGx62~k@)t94cKDL0H2naf#dxtd%x0|)!oZf
zpKy3@+V}1Rr?2Tb=OB^?e-ADP&8Pf8tMze^WpWO*&aMRWo-}~0<UX)k|077bH3>MG
zBJj~lX{h){8SXx;1)HY~;EfOf6W^|ce^;)7@6udhey1mNoAiUV%0cj=UMTdIiGtdR
zaq!j8L>S_p3UA#!1>J?RV91(tFe{+|rqq<cd2h?0p}<ubB6kh8s#HN~WelYyYhm^1
z9XQ;14=&AbhHcy1pp)W5xT&!lPI>h~>7P$wOxQ~(Jvsn;x4eZub?;%;tWR+Dx-W2b
z!gqM(+8ESs8;7_0|3c-yNvP?~hXfz<qZ%_oG`CO)&HX2g?mNsxlIKLwm)D}mR7D)U
zT_=IwMoJ>nvRUZM{n_Z@3n}#F(;Q?sDvj>{kU@4IWzp}aawxZ69=R6HMG~P3=$efp
zS|p`}avv(8-|@<5ndv;V?BzTpe^do^N~@yaB30C>qlP}0s-Z?@brhVaj>f;JBU^h7
zUYQ1R`J#cwjWm&Gpe8z6qKW(;Y9jSfO;kB+K9bX%kJc@okNgbhqo76e(Pq{8$XIkf
z`t?Z@RWxZLzq6W1)khQcX=|dAK@Aj?sev}H;9*D|9SK)QgHq}!EmsYtsjHz+xvJ>w
z992|uOa;llorlC$%|mI~%BbSK67pN3gm9oD>c6Of?me4}(uL<DIX!t)xmpg{ddQ;j
zoigajK4~-(JO?e`D}|nHn~g@+&O)9hlE_w80zLUGhQ#Ydk$9>Idg3}09hIAb)VqXG
zW2_(wHWolzUhttmQ&Uh7O~7Y6|G=8mU-03@QMeO-gZt|~Ljn8|hF^RSY3f_JZ1*6P
zU;YXP&wLJpoBN^vvB%I={}If6)B$$}w89#JW~h;N5AK(_3+JZSLP=o)yMk{)&8OGl
zE>HnyoxBYH4qbqm1|?AVKmpu-^Bgb8M;44!&xG9$>F~wjWGI}Q01wr~LW{mgc=Tx~
z?3~;O)s=R^MguRng}VvLTdafB!Vao0Uj<hfBlwvYfT~k+A&ei>fIIpX;l1iPaCwF(
ztlYy7gOC3JE=EJZ<=G=3A6XBUX<Y}`S_(mUKsq=s7YW>sZUx(VmV;U&RWQ%=AE#A?
za^4vSb7WfvOcNp!Z@q|;W+j>u*=3ro>;qk4T(wXOdr7axhX#CbjBPYlkvWC0b`;^^
z!`JcSIrUgOrwb3y9>A@^UvYH(6lN!9kg>E`L}#u%nL4FHbOg1?l%GC{xou1sQHE$+
zuOdZ<ZOP0WClXz;fvm3DLPD<il8}r&Wc8l?#AjI;*>yOQ%xaGz9EIa#*5(sLC@Y2R
zYDp(Ieq;~@nJmKLjnmEtc_firNOo~b$N}98q;~ctBJ}wRvA<hERwZ61kF2Z6tchw;
zTS~}t%UZJX>1}eutDYzf-XjNGo5=NA-kL7OHln|~gB-j5kgOSbM2;yxCeN1lkppf|
z2*>Lg`EUCRlCl03S!^~y4k`?h%=d4|_RIf~Z`<CJZ(_sb#Kn)K4vr9T`!jjB>?;v2
z`bHwBzY}5SQIg5?Ioi<ilPviCi!6};O_X&0knaoslG_^pNR;>l@%k`99PlKuJTgUQ
zE}bS<o=%fg#7EgEKI+`SM?EI^=)e+w`f)Qq4UOTaF(v#|r;eXGb@6yFco^cR9y~Zd
z=cnZz{4|X4(}8?`S|85iyYbT!U4D9YjE`DVK3X2ilV!w5ueMDSE3Ikb8$3mfZcdWe
z_Y<UiHV=#bkv`@xkum>6e8F$RE*K{s!oP^jvoYdPGD=jp{~$p!-$@w#N~YI;A*t_1
zh|Hc(JUYzFe<1Dj9TAoLkF@)|A)hV{lJ>W+iHF=Pp3E0ScjGg{?s`Hz_V*EP@MDs_
zqnl*AbP=v;C-2(rL}s9cc$7608Nd5vTKOKaZn;aG18$R_Vznf;fDmVWmWW=jA~FUy
zNNh<Z37S(*WJ4~Kxc)NoX-O#wiYg|4?FFP=Dvy*n<Pfv?EK<Q{65}@~$)HFY`Kg;s
z&RQfAG52_4yfcQR9f%~dzru+1p93UzG=PM?^(U$wUL>e|Gx-$fMh4xS$a!@;viXe#
zsVFcbIqNwjM|dgeuUtrexh^2T##G3W^tmKXXAT*pV#Lo*h<ENkTz=;Z4r?F8VUHhU
z=O@iPP%PV5j?KCYaeI3PE^m&<y)pZ7%n^5d_uvZrc)u3Da#$QI3cq2$=~l9Sb%)p>
z*V!!BPrdpmK4LmTwK#jU<2hcAg!5qi2<L6iY#=$V3%a<gK-V4*&=hw7oNR~(>dP{~
zo16l0?)w$60%5Rhe<N6w+Xcd_UVx`HAAsHUF|fjp5BeL;fSpnj(DuJMFurmwGznCJ
z{0rv8a~-;n7ZVcRn>2>~F%bGqEr;v&Si*Z9ws5(oBh1<93gb)M;gg43VEPwt=sE2V
z<pctt+^=95|NJoAapNcyuZx5xiZL*LZye;O$6@JIBIM1S!T7*bc<)>~%(-(4ia*bU
z3%{I!>A$n#j=woDXEYa%yvc{2ZG~{;QZclNI1l62T!47iMR?@FB{&#z1%6U1hiB_5
zV7c=(DD&bv9N2sl$~>-ufh()wz<CyyOktSjK%rk|4K(Yjg`fCu!yvsoP}TY_4BJ!>
z&w4k&Ft2-1bweYJU3nkYYc#>^@g_LX&<yKi9zZA50z==mK&OOOSg+Ow$F8=)sU_{u
z=VCi#<U3$iXa{uc?tsbaozUB-6F$!Cgs<8=;ok3^@QnCFct-glG}PdY&&}hdB_BfX
zF<yCBC$uc-gi*VB(BmEZvI80(?|`qgJ77p{JDjv`hXE~ZP-JBrEUsvUPSQN=X@PCE
z4`8<712|^h3{wv@K{o$B^tjUqQ~U10)VB>VcDNpT{C5}1Jh=nQ>u*En;yO4TS_=nk
zYM{|<3ftQ;Y=~l^tU)!@?XH5K_TGd+{5N2G@-?U{RSC<J%Av>f6{x!VGE{wd5uROC
z21_DKp=@Uf^ph=yXI%<mLsC9$ug!&`?{i?P*jebIlLhO|PQ&uG8PIyeNnV?#!SW3$
zaKIr6POnIWL5q$<<2i9~^Y>^d+a3u;EyAJ4n-G{CdH{YD4&t@zZfM271GWWu!Kr>v
z=ws>*Ly}!#@-s&mqP_+uZ?S@VPp^bO8oBVpXAX3bGKO0E2Jpj5J$T1?0lea&1|7F4
z!N*(W;H^zk@Q0H)^j<XsK3>8P7aRWuZquJZbK@KEDCQ~HZT1kn``!q6;VZywhihQN
zcqypMI|sg*p9C+4;sF*81+uGsKzocM7^p`eRzMpBS<V5zvVS-O7awwh)?DC-j)rnR
z?$zO}R=jK)*=}s&8kt``q^iNjKMZC^<`=Ug_gdKzi&3_sOA`Bi)xc^0mf^TDTa5cX
zv0mvuyuC6S3r8m71*^~C1(OAM!^KNj$?7J4&|8bWHZ<YyEf4X6#ZU32$RTXd_zBnj
z8pHOAQ}}nLAPJWhA@qa<*)lFg=q5ShTBS&y3aXO*wwfe7R-0(tT1b{XHz4xAjL2tU
z4xwTU5fEBI_J3bRj`vs*yGwRNa=!yPX1I<V7+g>C;@rufd7eb@;x>|}<wF$C>>z9Y
z>>~d;1d!S@`$$*U0kUTDFxjengqSWmMvk6|BrBwNc58GDsr(#EY@OrDx$@)Wq(CD1
z?0AASo=zhCkCO=zOC|eY8riWeo#aHEBtvITksTK@$nuIzGE#n;RF<A0o~N^jcz8A`
z-F%j;Fv%g;1kaH-t>?(o#9VUHJddb<%_H%r^T|Eq0@B}7K<;fQBsMP#$&pP(#O7fU
zsbGqE-`--f?_V+La3~=oXG=&2&qmod_dKbvJx?0;^Kkk+Ia_(2sMen+VXeG;+j;V{
z@jRKnb)JY8oF_7o=ZT6tk1piV(Gnt4RYFwumJl7)5@OX{Oj7-e$uxg4iOnb?Mk+<T
za|(%yVj;0gDj?ZE^NG&Je6s0g9#NT@M*>}PiBtAD^07CE=t$%c5#}sO@yaHx(OG2j
z+!=x@PLnevlT6fQkf@qdMC!&#B2}DDqLR{xS3oLxV3$G))RW1-uP2BSNhAx7CJ<qG
zoYZ}dBijpOiNTr}0=`9&4QY`i&G{Jl6mo>{0s)eBWe16IMKIZXIgkY9?jhE(JBf#v
zA2BlZCV_n0NNW9N!VPsN#X4?8rehru-Q`G(rq&QP(T2!Kt|r+DD~Z*F842`9gxg_C
z`W6}!ZqyR;v1<_-P}C(>n-`Fe+3KYD;XI<kr%0|Ylp|w~bI4erB<VdNN`?!C$)+3p
zWFq_@K9e?z4bOhU^Ul4&lc%5KkP|(a32DQxx81{cEo$&mjhk5I-({TIRgA-mbMV=~
zQ#cHrz`6p_I5l-Y9+UOPZQ1Lvj>0Oelf4wj%+<izr=>7go)0@3zGf#mx7iQ2d8|-#
z2s>Yb!?L{}s||}Bt1k|2Smqj)XX^EOHpk+b6UV$ef#a%viL+%x3ui^}Fh`vT0sqUg
zKq6@Yknk`863Uj~X|oI1zug<$9}Wgj7Ds{QFA{)UWIFIv%m(|)3V^s?8Q51)0f<O7
z81ktDBR3m?$<H<*r`rQe);<HveFnkE?hicr6+Bt{3#jW%f}wGKIOHM>#V?A$9i!s#
z*Rt7gC{P;m7s<gV4;0{z_sa0egev40)r335wcwDTF1+_+Ate2a;l3M&@Ln`ezuK6>
zI3Wnv-D04h$8u=>%N(AKw}4_2R!}vbx1MXv4vKDE3yrQh!oCS-SYqZ18-m^7;JJ-Z
zk8FbXS~tV^t}U>$WgBd)_JTCa2QJ&=2d|m<!{gs}LRzpJs;}A$Pxc4E<J*GZ@fZ8x
zn>G7kW5of;FMJ4&uRRRM6GLD;4u$H^!eH>1Be3)*Pk(<4hb}LV!Opq}c-bZrzPu6%
zEkvT=j4e@6syqs={TT(jO`~DKzG(QMG#ak$iG~J$qv39)7$|HK17};uz!NSpaJzd9
ztlP*-JIBDA7BTS9k{EbfHU=h*M#GnF(Xc8n8cz80(u<>E)JPP(eLf0CxkbU3{88}z
zg-DpRIugFAiGUIV$KaOV;c$ykIJ_ow6bk$agW-draR2QPxHIiAOmIB}%OnrNl{NdJ
zkY_Ng9SwpR5rL4y7Xber+yie6?1G8rJK^HfJD}ogUpQaY2P(RF!HePBpnd)pc%y1F
z6sq3@SKiwQ6>8jI*(Fz)m%0uf*yRMDaUI|vVSA|AWDCo}tzm-xYIwhU72FzR4vz^h
zhX+nEaMxT2Z)BRni=rm*+o7dU=%oRyW%S|73_Y0fMjJlYUjTOnYQT&us?cpv8E%tO
zgb`34-q<Vy|AtCIx090aTd^42T{#oxR|~-#m>*u<H3`N%#=)4ycW_nn6A1kM78o_X
z0#?aSz?5A#5D{nxS8v=0jOQI7%}>D6{2QRx^ePZ(Ed^~G3V`omHi-2*1%f^#0b{>7
zFnBi{{Hh27>Dk^uJlqZJ*lY`qA};WhTLLOSYXG@MSzvN@Cb;lojI%%S8D}oK%Q^L>
zl%sz!iL<fGi(~0!z%i8=Gktb6$<!_&d0CT^SoMeBSF2~aiLtzGL)brM`&ftMQ>>QZ
zRW|C*eYS`5n(fK@&8mDA!8-ABxPG=Ko=P;pug4I+>THce^IdT9v#t2G&>kGB8iIqQ
zqcIjwz<&QyaM)l5cCI^%f2I^*>{5z9&ANhr)?LH8+pDqB?;7kIQ;$RWn{i-pJO0@B
z2#+o9$4f(AV3Ddp+&1`*S2lv{rN84bxnH<V^dHXtGL4121PJH85cyAiCQ&#bN)Fr+
zC&vV4k*#J@WNwf&5zLV#Yii_)!ea%Z@K%W&_%x5`e^e!Tuhq%dHcj%UVgad5&?ej5
zb$K!tk~Oav5rxdfM03RwvTMMQD1;c1^)pOJ*@<Q3I!_<3KLkk43rI{ML-r?eNp6oB
zxi)77dAi!1+z(tyzND=pi!NA@Yu7Ewg&V60y=X=JGp)(fgEoZP+mdC9cEt9%9qBx^
zhRB=Slg=S~VtZsQi5GPso+%DQeWoLMa*&6ojzrzqiNr@ak)cK>QaR~F?k#dAYL3oi
zWQQ~1JLF8_LY>KxU}rM8&6%WGI+F?&XJR(uMAEJ~k#)PANWY>J>A3AkHoH5LxM2rk
z6X-xXKCUGr9&3rsJ$quJVNc=@t|80s+7VBFJ0cEk$+({lIhSNjIxq0*jaL)@yOu=#
zjs@|rT1ET|SCa8)bMj{M3L;>zoP_`464z>m9N&w`XJts9)^o`It)^t>m<g$gG$xY5
zMkFE1kgWe@Ks3D<ldsK-$SkdeBqB_gta_l$^U2a8LJsqZTf7FzXVu7!K^0OfG>_D(
zE0G9O1@e5gJbC0GOE}KbByp`2vA38-E*eP?#d%_6H=hW3^h%g_o*;R2f}iwWo5F1?
z|6-k%pV-RkJJum1I8gHg@11&s+2^mY@1kc|CAb&&UhBfy@7l1FTr<APZNO8T>+sk?
zj8l)_#B4?dZa;eotLB`?9+?F=HX#SchMdN%cRCKVOTr%d@i<I03b!>K#sdfT;*ZMS
zIJI^o)^&5hpFUaO{&0wG#FyaZnF}z#k`gw_n~m?O3FA)lpKSb!0ak8R8|!IN&6-#j
zu{mp#+4Rc+tWAq0+cBoZZr(an-9MUIZL<H%EhoTT=JD0lbTcnp?a1&<PKDZ1PR`Oz
zoE@j4IG+Dbb1Gdfb3D)8=A?IabNENzamL5~ayo)%f?r$a05LOVux^$X(Can;{fPi<
zUbYGhcC7&o9_zuU{w+NJ0DquYybrAV5(aE!qrtt4@!*$n5{Ro#191kKz$`BthzaC@
zPn(NCT6rn39=ilo4J$yywi{qDt{SKoQlMLT8#v!=03}zNKv-5Q=sVO2M0wvXnK^wR
zyZtE;4SNZul?H)P#am!y@&RzmdEYsOub}tP576866V!|R0an}z;JbYq04_f~aaRET
zGZTWdtAyb}&6&_GQ3NJ_5QVeM#o?@U37Ggq61pkQh6mS4K@d9!UMiP{N)Kfq{2&WA
z{*i-)0(0RRK?RsRp#Y;lE5f2aC78u3!<6)SFlM_7oYGT;y~C<-X^|R~c2b8SztmxJ
zrUsnU(}eR_O_;^Zhj-ceFl*5QIC^FQ)c(5wzH-%qd&{)o<?mYXwy`$cxK|st<ZHt@
z5454-ur|~d(1D}UI`FQt4)mF)17FMPz@@@EFy^y1?CsEoQ>EHa=a4pZTCNR?r?g;O
zwH8#_p#=kHYr&6|3!tyf0%-JfKAhe@AF965gl3yHVO)m>RO4vCp=@>d>xUXNUabZ{
zrK!U9ZWTB!sRBJ#&V!<Rm7&o|B^Xwr2nQM!pzq_kaNvbJbbciVMW4#Tfp!@fOQc~?
z!5rv(ObWKU&4y;WvtZDu1Wd!?FzB!tG&2;1KZj<*ptKpVZ<#RE?GuE)K?2ZMh#xZA
z)1VbhfDrRPAj|9*&^8<e(R056$FUKR+%yaf)7}9?$2VY9XaEFUe*ubIp91DfFIXDU
z4N_)21X*!yV05Ax6zypQj*stxE5>!;N)iF?&u@Xr`8PnaUj^_kz6`XVTmY|Tlz>+T
z1)$aG92nh`1sr2D!0_obP|fq_l)ii%I9`nb&8`vPo$X;T+cXduDDU9eds~1(n;S4V
z=Kvn~Sb_I?%fb8MWnjVi#lXT{3v`RCfbJSu@Nb6%0MbGrHh7%VQ2UM(B-F=IwZG44
z&#2;rJul&$RnOo|`$cm?y}UU~`B!m7O4T{=!j$Pt`C3!Dc)zLr^owPDrj=D8!b;Ve
z!>QFbu5?u|(-LL<pXjk~_SmtF?{~4kisIN`^`}|A-cpwD=`Hqr%YC+^w3l7C??3ju
z-cNS>4gq{~i5PDFJO|G%P{iGq8u-CWUHoFVA%5_ggDt#PV6SE?ET!gvXZWwj?~6C%
zja}Zj>gz82U~(UR@h=3g9ge_Ty<_nGmUz5K_XPeDo`QF_rsG`6Oq^hyh4n*n@UwzE
zY<{~CU+*cw39m0;&B06fS^rfm*jS0pFWkVn;kR&&9p;@=gHJWp;oO6F@k51sc+s`{
z_yYF<wySH!JB>Q<`rL<D^4}wT%Hc77d!~;k?+F$ZdX5uxUSiV~ukl>FLHy9>4X#1|
z;bZFW@vgrgaANaE9FZ`Bc{{w}%y(b$?&$B>Kx!06rjKD^p<npH&T)LZ;Wz#+`4?}n
z|A!00C-8%!N!*R6c>HPnWh)=a?dKzJZTQKToBYIFL4fEV5+K(*1jrv%L6WdjkX$bp
zB!4~%^8E0HNR5*aF%1<WT{%Kz>n$Pj_JI&d=oKPso(mEEXFPQC()WbOvvOYfNnSoc
zh?rXnk^M44<jZrOtUN(dvr&*pO7dh<0aC{6KdclIAYTjkN#Zho@?Rq#iE!W})g{xI
zDVV~;sgw9_@B|L9`-fM{|HWB-zwzA@<G9-R7w+vE!zx~*c;Nka+`j!AHtPC<>y19+
zz!RTvYX2~<SNecuT;5@wsJFPdbO@*38NjIzU*YM;FK}$vGaS_L1gl=|!-K~kV_A=G
zT(O`FpZ~7|pU-Q<>(;hlv9Tr`bgB`j=``SqsykQ@*6}FCgE|=Fj9b|F_YHi0{WXlQ
zl;eiKmvPXli&!?M6mPCA#x`FHaED?Z9$B7)bGBq*laNd-o_rFk<)q?$#Yvd2Gy!)M
z#o;4oqcNXS1l~6ug421Mnv?83c*MgG$IETQ3!B`r_&ygrB)b;>x?zQF)|lh;7ZA(&
z8)K8t`q*Z-Hr9KmhK)THv0s-oR$U>1OD+pzBb_OB;LA65pyCaiy|<68*K1*m-`23c
zITh@HLlG+@kjVyKk7sW+1+&O#BkNFT#?FzS&qim6u>WbisQyo*ta|lEpX%+dKX3WB
zCsx^yRxb1ZYHs?nC)0F~e2b|Cnlu&6R^ZeeGUC*j+H=f@e0k{zPW<6yPOu(t9Y$v<
zN5cCC=gqs@9QjRc9C_N$2^M|JS!nZ(v;5Emr{7ixRIC*Pd{$CG)<hmy&z%R%zG;Ap
zIvrpZxfrAYW5D+g0KWL;z*x}|{K~flHgg@pz8F^!H|P#JjCh{Xhkd~EYdgV6e*jqi
zZ9jPOCj<nKhJ%HHJUjGd3|MCo55$TSK*R47K-DG%^rfbOkL@Rcs6Zx&H8=x2)@6f%
zy*WT7G8c%R$OqFW3PDLsF(}!89*Azb0E|p8^7Q0oz&^SH>eI`?!0JjM^Zgo_K6L{)
zFRB78xdr-`v%rI5kgZPv_jC;y8?6Ox*0+K0$vYsh>n^YoY5=K=?*S|OMi98|J`mm2
z1Y~wLgH+E4Ak4Z2^l7((l7FpW;C>s3jc*6m+zt@-z5_HQbOK$qhrs#DLtwVJ3z(I5
zfePtIVDR80p!e_*Fjnmb6<*!EzCt%J?(7Di#=3#uoF4FVeh;wL?*Y>bdq9|44-ggW
z0p%aN0bAb<VpF?;uX8u>5aZ>^BcQwW5t#nl1-L0)AXTmljAcCJ-S0y%w!af_dpiIx
zSRE)n(hdUewt-?^9Y5;x;M&3~e*k<Fo59D-CJ>r+9|Wd1g0_fz;I(f9m|9g2dgbo|
z>A~ATq__@LyVru&nKghZCt#Bu2BEL30e9~$F#Y2uXb8Fi`rcgwXI(47W?Bw{6t054
zfXg7Y?jo<<%7BwaDYzO|0ybSP0#n@uAbTtiw9U>1*$Z;Olu<UALT5lWHxsmRPVw45
z9XKhcf?~mBkosRD@U1@%V$Z~ZKED{?VH5>)euRTf2Sb6=mjmFcXAo#>*bSUicYy3b
zFJQ%bf~lVyfyiQ4;Ir8gRL9zZsnXRT`;Ix#>1M#ym!?2xXek(br4QK0I-sOU6SUt@
z0bw}`!1<UADEFKNK5|5XsH6}WuAAhvZXD%kfB3+;vi}vw{a+6!B(jBbm;VlDIJ}Az
zGk%FPwYz{*{34SRXnTTlW?uy7&e~m^!}{wvOT^7NhesB29J=H<mV}REiuz48CCW|L
ze26wxu3c)XUsSWqJXXWR@XM)ND|_Zun@$8)D<3PWj(Xc#y~lK{`g-LoR&()uHX(z<
zz8zY_u2<j2uCYD9o?9HtN-Rocf6vQizX%tz=C7`>_b=UIw|d`Ub0u5Y@QdB7fXNGX
z(Y610$9!e49r?`;z2(D0vBJDQv>1*rorQySWUzX{Tzpbu9`+AX$6Hz!V5*>ppL#CF
zTh1=Uc5TbB<adY##g^kP`Bgkv;WgrR_|K2ESo5JXZYo%h^Ss@0nUW{&YTAbN{e1A&
zKRfWTW4rO&u>gE(b1+W0brA353&o~pNAamW5%`={6h8Sd8izZ_;w|lQc$xWeeC=ui
z-Y<OuFWQ%cPc|pxak*4XJ<@Ra*>r6F@Fc!IaSCf{X5y7APUCH^XK=*!ENt(WjTODm
z;>-;>c)R5}Y@nBmFA3-22hZ~G>9TxWwWk1UEiA;AuM4qvauI&Kv>0bSEXJFBOR&z5
z5`6XGd7Sd?Jl63l#i6aGxL5B2PKmsLi#jjh0GTqp+OZ6`Mwj84<z;xZvkYgw=kdnN
zu;Wx2_MRxi+CO;wS7mtKJs!V+mk%z(x431vXzBvaVtKOsd62q*hbv3*s8uO;?>&$A
zdYs3GPfM_)LkSM3DaONU#aQ}i5q{lOh@DgmakWnY_Bo%AMPBCNu~~Vz7v|zkp69Sm
zSPsrkJByw2v+-1E7B0SU26GEfW0j0dJa#Mt`}&;1p{q_}9i?;}`Y{#zR;6I8!^ybb
zI0+jKC*suX1f0riXO%Z`m>U_3KhBN8I+vsHm}w-o3=hZ3QDJya*kRn_e*hQS@54V9
z1mGE?yYS2E9r$pN5AIRhjvX33@dwXM*zl_xZVhq4)qfqa(*b*&{htl)bzF^AuCK&0
zy!T|<1L3o!rg-q35pK{}f-77WVViIrEM77ni{Dejr7x7R|Bt!YUqBYyN=jjWX$dSL
zBZ5Cm3SkLBKD_PyIJ@iiSJo~4J)5!VHM>%?pY3|v$^I#9Vg)zeW=+Mb*_!HdR>QND
zy*8c8K0TMoE;31Gm$k*PvziaFnm>KnGWGSWzP%-D9%jtmFV$q9^~_<nPV=#sod&9_
z%5GQRp31F`e|)Igrq#HbzkBc&Z2-46T9=rp+$>+l)lf7wvhy%iEKN1dPp>p>-qU4z
z(B!*m*02aCOHYwAZ@nHTYbWGX2iS5pZFT1qoA2ZVN``U<yka@+CdnMp=?qSN-8oL%
zffA00+7(VQzQGAxO*z^1^_;6qS~yqJx;Q#-`#Dy6uQ^WJ-f^rFKXV3($2jGc|2Tac
z_yM<52>2oqFqSJ0Qh&_?saDcpELjftwkm*uDP>Tvrv^mVXo6{PE#R?V7u1I?0;z`#
zfbXuQpxD&}Y%=EX>;(jvPA>2{u>$y@RX}IJ68MB!gAfrr;FxR=CIuaVc91g&c;o_7
zwB3MC&_?jOViS-a+6?ZBZUswqwgVOD4YJLA!Ibe1Fg9-|=pEk$hVSnIDe(c|E(`)O
zulIr8!}~$Cz(LR&c?bl2KMW>aLc!fjVL<xF5s<Yw95`-12C~8<0BaKoxb2a^!!`=Y
z+~vVA8hD(I2B{O#K-4`3v{%G{u&Ef(U>ys7o`?kv&9R_wG8V)xjsszCaiBaj4z%;W
z`$pwF)bY|yaiF9%4#+-;13`D<0KOIntk1=Ph6tW+@Qeexro1wdIAHcT7L??~0_RP!
zz)bf4a$`W>!59#$5(8B4MDzI3py6v22#SaTVxmzXEjbeKiA93Vf)OC?T{tkieH8ee
zI071M!+_aT2>4Wb7~oZhz~-I<K+SzWkM0AqtAc=aX#jAZ*aP~kcZ0s;JArfU4)Eze
zU!EKv@JY@K{G7K9gehzReqx(J$(TF%)Vl$gRjdbR!(D*&YG*Lbdmg^j9`x<71I`jQ
zps#E-5M?ZY)qQhdWW5};-(^71QV3MfngZ27#z5C;DHzB%03ZM3J$r3E(6&t*Se>2^
ziW}9z*oX><nXSxge+5uvDF=qvOM`&zv%zDY-S&8gD463l10=f%f)A_tfWF6H&M6Jv
z_~nbw9Me<pIj2?*a?FRHaS~2E=3LkA<mlHla}w<8Ii}r|bIhfRv$eCFqiI>jX{svZ
z)T-og)<kA-4!lU_tmnjY_AZFvM0fAw@Zw8xl=U}o3j1w2GmddNFEy5Ms_tuW_V~zh
z76{Jd9D$>z6?>kTHssWq;(NuWViU(rgN|=9ja{Z?S}ZiM%$?o6EJWar@v|e$t#pIt
zTSJBl)%?}=)h4Nt)#5jDs^gogs!Q8CtNrUgRA08`XRFj_v0fjPSgm{=Hp$Y2J=AB;
z3cIgmLAyKqZJ{4)9~R8kvBy}$197ZnbP{_x;UudZpT)j9lE+$lm9Sc7m)Of9mF(pQ
zRqV?nl$}t&%g(^}*(8fLw(3q7Te!53y>sR{+wysUy<_^0{Sf?#eSH2K>)rg5-TUe<
zd-=mOdn`x*OTH1pW%e`i*K$$3a)tz6={5_O<x1h2XVUoDY&k5*or|AsRm3%6%D609
zg=Yt<;jU~Ata)-i){N4^UH&>)-$oCARat}uNA$7gbp!l$uOZ&0X@rH^jdAU+W%%o)
zDgKW)6`LoFc=joSj}36~SF`2#So#XA|HK^skzK{JT`lmlKuf$PWi>ulXob5jTI07D
zZ1CJ1Tf8&c4u@}BgI!JRvE8IS-cqv`KMi!i@=A_4m^k8Pj!u|9bHZCZoUwnmGhVi0
z9o8sXhZp@`hgVp+;NV0TTzSt0@A$#9UF2Qy4kK4AZsCgM>|AlYwJRpb6}v3pLC6&c
zKXt+5=Us684i{{q=7McH)?u}M>+ojrb(k;L8T)BE<FG;}>@4eqjUpUz-)jdvVCsO&
zW7gu>W_w)E&%@F+xNV~y<{q-eGAC@XQ>HZ@%e2D9$*Xa7m?aL~W`U=eRrsUiN*vq2
z0uP*7j!W##u<Tz3TjwFH3m}$l<=_TqQ{3>#1h?B5<FmJxVyt9{%?=shxMqDUCbI|+
zy6NGcnL60ILkp)(&Bw9}HSwpl>Ues$Dt3;Yht19?@#?C;(`)kB`MfMH$(6>|DN?vS
zWETG9DS@XMG2VTMV6%6^*zblQjyuec8}?4I6|euWo2`Gc9lZCY|KBIpc+GoOFO%mK
z-S?6mlzz%~SUzUg1wG{PTG@5icw-!mciDZtHLTjpY96k$r0*(Q`k;&rzE#Yg%*kT~
zLbBO#`waG}aw_{}IDuVM6~jK7ILhWH2D8s){Mo<Rp6p)*7k2j<8`gf#ayBB?n4SMq
zmj&LcY+a`eJAaudJGOMP+V|`G>g?j~>Z?w5)jnU#syAhys^;VU=CY5#T-F&n+vY)D
z8U{!UB4=9_WD?0iJU;sSc{d7>jzO;%rz0oZJXG&<85u>gsN`HDl4T#Exb9cz*XK`Y
zhv*-)M_Q24;;mDEwOESDs*z`$Y*iT1{`pLU&qC(N4?~70lld&UoVjq$lG&=ahEZUh
znMalznG@Yx7>jMb%*5y2%&jBAOn_)8qmvcE1WCs*_U`eFZeb!L^gfvxSe(w(9>`#_
zYtAqS1af%t^BDc~LPn&&gn6q{#@zL}%;a7vXF`5lV_absV;IRY63vwPAbFc<bggF!
z&owefhj=l|^x7DcpiV}LeZ-7RK4u<RKH;rLf6hd9zhX8k4l!UGFNSm32j<)7PfWYX
zSLWi8A53h+PiC9wABO8R!6;-+Gk*j4x&G3E+`d~vTub*E+#3@!x$1?Y+*Av3?!-F@
z?yeKFxK9>KajhQB;Z_}x;c6<#anoz$xl>ydxO)VYxX((Jxi+>c-0Bfk?t*l6?kQtU
zE?@tAZa|n8_l1fM*REcdi+vVywMF!~nO7Eb1ss=fgMJutU!6AM+CvjAeX)$I8_D6G
znGd-_&4?Ski_0C5T+Vg4zJgopx{|x__bP7oIZN)06;|8>L)P4(I9slh-Wu-hc6+XV
zkOMbI#)&J!I&%+ga^b$6bmguqa^v2$+{iWf;LgoW^5BXs@#KbdZ{fZ>xQ*+o=*4ZQ
z_2wFG^X29X?%+z4`E$eUc5y#^-pzG8xtH5$638`r62vV$63m^Yc7S`d;UM>;?_usn
z(NJ#F)iAD!(@}2mXgF6YD}uWsFOvH!Ac|XV9?kWUj^Qf5jp26RisdFAkK>xV$8*OQ
z9_Lm}9OwFWCUEB!CUSfBo#39}?X$E}E}8rLT{5>4r*QpFq;gd@r*R)IPUj{~r*l_5
zI?4T0e2RPRKn8b*RVG(e;WW2*_%t`U<_y;&C5!uaOE&kq;aRS~Kn_>!aSpey^c*+k
za4y%<Hjn#HDW7{|B%izUe-xdAmL19#Mboiu+cwUgv2EM7)kxd6ZQHhu*miE5*Y6{0
zRMpZ<a8&d+a#B?8bygTma#1X7;;Q&v;i?Gra#I|;=B^m9!b4Hj$5UbW-czwC*-P=q
z#9I+|z(;X>s;^>Tb3a9OwV%Ss*I%*tW`N@Fsz60}{~*PQPeF=7X~Bvb^ALsc;ZVhr
z8DWZlEyEQNb>WJW0TGJ9%8`oNwNVO_LD7n(U!xWE6?8?URjlIFu{gyLMZBV}O@hMo
zeu83IaH2v<ElClzAz5*HXo_O!_Y}q5>{NxBZJJ{F$#g}-*%^xH_L+(^k1`d*!m<?i
z)Uy@ln{yN^M&v3Q{mQK`F6SxEI^-*cpD9q>pIfM~=v1Uw`LsyUII>s~t5u>nx2;q$
zVsx3}!JjgPWnsBum2-un$@xk}+=42_`L5N9kuRzh52I@oR=Tx{)jR7HO~>6;#5cI7
zxKMIWG0N?};?czi3hTuW6>EAtQZ#%0NRbftSaH$diDLAgr;5iDo+)e^Jy)zPf39fm
z`9hI+<)z}%vR8^Ry<aPyynU^(O?;zRXZ%*tV*k5(*2sIs<)$ALW2-(Wo_c>&*j@jm
zSikbKqGi7?isTPp6jxHdD#n?8Q#?EPpTd6Hcg2PlKNPKMe<)J?ek!is`lT4Z=C|Vc
zfIkX{&wmsf)Bh@3TmDn*o7_OKZy-IJD#^D~N>Wm(Bmr|8ijH?fIn=R{%)8!5`aWqS
zKUXxC`m-z{eVd4ZW)nH~p@}To+EfOnG?l+2n@NpnGl}@!OiT_oms17JW!bbAGSsPs
zG;GmQ?wxHZF*Pm4Vty+*=hsSBb!jalZ?%@D&s)o*)ommps*TtTXe*a=+RD1mZDs6^
zcG5Dvoje=UUQ#UDi^IS6a_vY5*;L%2z7^I{+PZd>SFJip#)VGea<`M*TGUy#1$LIH
z-MdIfl`it`Wf#d=*Ht`XyNc@IZn8_io6P*yO}g&xE}t^HOTqXa;$z)IG#d7leaCwW
zWj&>*^pbDxy`-dVZwa{ETXY`umP1SX$h?p~(zjP%`Ki`dD&F*!kd6JsAfcZe8`fVI
z8TFTeKl;nxy#u5sXMjXZ8Ym`q1LahcL9*=BAQ@UYNE*%=Ecd(yOH79$VsUMVoO?V(
zR;?H+Bg2PE)4s#xk;X7dct1>RwhWg`$-`yc$PqHubcD40Jwl!x7%3_FBgJ9rD7of1
zN;WkgEfdd<mbNvc<<-0~lHof>Tsn`HTQ|qbwr68y>gsXQF>0K=>pxy{w8x9br}3h?
zeS+*tn;<jCOswb9PLxl7CrZKLN#av9Ni=3mmVGXhg;rCf=Y=Wqt!|2xESxF<0aHb%
z+cY_(JWb}koF;wOO_!fB)1_k23<=SjAqHP($gy2BWl`o#8908H{I!}THA)JJIHnMj
zQiYsSh%9p#8QK<Ucp15OABkBqTP%WS*RxvZ$SSotGV;wFX}WQ)Jc^$y2}9?Jjp01G
z^nISJ+dE&z=FFFtlNQJ`+Xa%+c%e9)TqxHn7RsjCi)5nLB5B)UvAnvvSTY_h7MJBq
z<W|@c+16*NOx0K_9p5jNcbk_<PSP^*7_nSbO_s~9U(03Yffe;!_!aVL%1SA4SSdcu
zR*A-$RkE*ol`wC$^z>aV-#V?4k{fFz;OQFCS+!OUMXr^3{ntrf?RE0=<2tF>wq8O~
z>$$z7H^?#b4YKI(1{rvGqx>!0C^geJNrdwzF=@G3PMzN@%j!1E(1ly1VZau-*LADJ
z+}<h{FSg3LwcBJ>%(i;o?{;abw_P56*)9n?cZf~K4!JaLr>wKuDPxs(Ny}rq<XOos
zNtv}<9Nc!xwKjWX)1^H!@%|oZyJWAt3fe0fJ@$!<>OQ&kdY^3DuwSOe@2_VBACPwj
z2PEge1LCpgpr~dalwA`K$xPcr(zWqn`E=s26qFwpAC8EI=MmZ0{-|*EsPuevRK6`c
zCMBWAB%t?k(NRAxhu$5Rd7JCG!bvCO=kSwKVSG|Tex4MA{iozu-YHo$<+KcRI4ysh
zo{^f<XC$KPjF`+lE2n(U%Cb)9Way1^((vgyxwrDX#6+AIi+&g6oYn<d_3?s?+;&l#
zre2gsqb^B;*(I_0b4e~8x-9DoFU#2JSEQx$6?xX;s-&E|Dh{<*<=TR4vdRCNOze7H
z+TOk{uby9*j5RmJCHjWk8hBH->E4v7Uv5growwv&`Yp*Bds{p#Z_C^U$`UwPS^6AR
z7F~N~`BAJahnuQM`Aij=e_BO?T~(xCm5S)MR+V3KRORSJRjKq=m4)|ICA6cO3|Oot
zhS$~PPoSC{f1)PU-S5cam3Jgu<&F%BxFg1|?#REs>T+_uy3}f_%hEV?iTt20LxyOG
z=~fL<GSHCIDH?M3n}#eOr76+7HD#EYrkH1GN~1rTa(052+&`!#D{Zu-e*9BLG}0E!
zY1-1{gtnY_(w2v1+OoQZj>L<Oj5?<y)*d?2tX4-Zw$qiz^L1tI6<ta6)0Hs~b;Y)e
zp0rq|Czo&O$<q)$S^r#5l6&dPxHbA>e@9<hMeEDexBBvYfPrk>WFV<J1~MVhKpa0C
zNSon?a(#!PyfiYD&FO}c{=-lvjWrVIeMZvG(nxOR8p-Q_MzVFXv1A@GmMQke;#zDh
z9h#cR?U^R>_LPZicQujhN)wsZ+Em=<m`bOMrlR6)D(~-_%Fd2vlDo)EW?VND&p<Qj
z^2AKkx|_?#73Q*A#a!~k&1KdrbMfwLA>Gznh`OeQe2%q{y&o*3aImGwR!i~Kx0D_!
zmZJI1QofF~lKs1_q}bF-W@lN6|8FblHNjf64_eEA*4A>cz*<Th+Q{5#HWGN;M*29}
zh;EsU{Ag|~hs9RP&)Uj-4_gVYv6X)9>_mUQo&36NCrAD4r1F8CEbL-0p-b&$z%6?*
z46&C#&+O%RF9)e!?I4TqI7oQC3pwbmgBTBRlz$r?<)n_I)FwE}($9_(Im}6h>~IoO
zBPUTxcaqaToaF8pXIZ|_S)whRWmvAWnE!K@Mw4CS>=75aZ|5Q_i(MqPiK~p5=_;0|
zT&0PttDLWNm4~g|Wc3_3iND|`qrBb3`mUQa>*y{Q7rD#hYwof(&|MNAyUUpF9%8$~
zLt3bK$mMVkdHT|$o+a)n$?H62oTjJP$9hVu51w*$u$MgF;w2mPy(Bf+OD25t633C=
z(q^}}TsQTWmzmzO`M0;EkN1&D2YtlZ+DF<I_{hzMzVdpiuWUW;E18bIGNsH{T$}qz
z2l12JXZ_@@yPs^Y@ssSf{xWU8zqnuamrj2EqVm9B-ggd=ol65G_hx|12ni6+X93cs
zSD>h^4wR2-fwDU)Q1agd%B%rF;=M6Qy6FUodP0zV{uCs8hXqUF_FxgCVDU{0mL5NX
zMRQDueBB!&`z=DGI44AA{|gcSNuko~NT_Jrh01?Lp>nWEn3T>4lewqDB+w;H`c#IA
zZmV$lF*{riUkI0SuW*@vH(Y`{L`c6y5u$%BLVg8A$kE3UQrRt17OsetP~}J&5FROp
zFC*nopC~!LE=sC3qGWMwl!U*Jl0k!`#du4!{L_n;lgZIi`!!mYj*OAWT`@AmG)7D_
zV?^n9jGP`HD|ZjX%5v*iiO!FeVGZNNd}^FDIvyuy9pmJFX`HNV9xt(qco}gvUM$_?
zrAbY^oNt>T59cMw>dOfd@0%c_9wdl$=R|3?G*K?zOq9pLiL&-tq9pcAk}<23#8xdy
zT0|wu<u^(4w12X!-<T}P+Q~95AzAD{B}=PeDROmtiaa+=k&S67lKMSGCX7iH$Gxf2
z#v)a&=cLNZzp1i$QktY6PLoM?Y2sXzCheM}%gq_-^7>@DY;{SO%!+iG(keq-XJ<%<
z3mJ0TD?{GaWytmpnUcLQQ>I<Z6!(Bk>GU{LRJvu!`{h}(Q#ng=!?I+?%PjHilPz7=
zWs90dwtS4qmfi2OC4W$k%-WJ8-g-IGEjdTjzvjs25xKH=SFRMA<cehGitn#n=`lV}
zG!Nv-SF1ePpPwhiO8GK-YQFd%%a>k``J!E#FaI?wkb{Z>DLqplbKMIhu)09{v@I0f
zd4=-hQlT97EtK;6g)+Z$kpwR(l72UfL_fGlemyOcqdkkIa#gV`tOt6BMi$F}H^pMu
zzeN6QD3RmZB~l$<B8xwjNchlF8MM7rj15cWUuvnG{9Y=xqswIJ-ZF_aFOwlTWn%ib
zOq3>-%jv`Aa@V$8mKT*vbmIycHlsq!PgY1HmkK#sQ6cwRR?5oR_2B69l`_JsQY`B#
zrAdb>Ilr(<9$u}I)d5u!|ENkvb*mQZ<<-(mxmqrURm<ZS)v~rvjU=wEkue%IVjEK<
zE#BA2<w3RbbaSn&*Q=G}q*@vGwN~s$)Jdydb#m3DPM&Af$;MxGk~;3LOgL~?9Ift3
zoBX?SUFn{@oN`Y#AG;^%4)<hI={<37c3;{l?#s<H_vN+Qec4)lUozV~kSX&Xi0h>X
z(!uwE+`j)n-gbH@+m}3)>>CedTJS@0fBH~5^?W2Ms~*XF)km^3@{#1eek3#cKNimo
zkEM(DV^NELEFV8Umfb_2NdC4bGRyFZc&9#*Zr`7X`sk<fdCybXYyMOUv!9CmeJZ{a
zpGl9y&qUMqnS3pLCi@#dm*VNqW%kME;_v)idR06Z?Upa(KVHbe^Dm^-^M%Z<dm(}C
zUrL{aFGct2OZnmdQVu_QDdk;X$^7N7B>46#=@<4&^k2M^U%g+;(Y3FoQvJ0ojCn1g
z?_SG*L2txx^Bei2`$mo@y^-oKZ)EX^w-Ubdtqd}GE5;db<=@Y@a&p`|sonohmRh}&
z$h>zlMCrYlPI)g%$KK0nhxc-~<h?9!_Cca&eUM>iK8U&72WeFOLC&`MDEH@nl$Do0
zO03UE8FBxkSa$j(O_qF;^EW=p!=O*H`spW$@9|kit@<q1s-LA<<Y&3~`m;Rl_eIuj
z_#%l~Ut~=D7qR{LMOqB~Dwnr?m8S+@Wqs;bN&fGvj2rz;?Du?=R_5R2YW6pI{^y%)
zocN!l9{Nuv*#0Muh5t#L#^2@o^zZWW#CO^3{9V$^zssbSKg5|I((e2Zx#{^sUf2GR
zt?hqG=7OIx<?2sy_5Udy9{rTtU4O~jWxr(m?O&1|`b(z0_$BVWe@myezePp;x4e)3
zEj!=+mfV4VWX9${;;H*bx+MJ(wJ(3<<M6+-d*@%tH~uTLGX9G9&%e@b+&@v@|4%+!
z{*%3V|KxCk1~~L=K>6ebv|inS`9~XYO|1dJ_6>Lu*?@i}4cPRi0s2jqNb9e}ubE0r
z+^EFS(@HpLD^cmHMB4-<7FH>7<C7AhtsC-cXhR0fZOE4G4KcjfkPO3y{PAwc<g|ty
zzt<3#?+vN$*ogLH8nJkBBW~?&MELbayfJUYprA%<%V~u1lSX9yZN$IsjhQ;BF(+3x
z#_e!pYE>H3(XKH|BO0Sz)R@Rujd|C&2}AldVaJRnn67U^&dDYyX*FTGOA}7VHNm5z
z33op<p>wOIEFaPo)!9vn-rBT2?$MNC22I)J)fDrTrsUN%rO|&)nc1NkXGb-|Yhg3)
z?`}rdYt2|`){Hv=&4|rv#-~Tk81bhWd%88pazb+omN%!#q2?%*n{(c#IX+>{d05b#
z?k}6Ox={->`m`W^S_{6cZNaD$E!d~g0&Axh6veclS$PY1--3%RTH-gTC6A>gJ-4)E
z?YWj{>9r)$qb1*xS~8}#B?rE?#I{{4N=CGz#e!DM+0}~6S6UHZ(u${kt>~TEiuDg$
zq4TR1$z59WeOznCEo;r81Ff;Y)tWM^*0c(3&Aj~9Tz%e}Af+}u@70FBQ`@j{O&j!%
zwV|Go&QFInOo(p7k<vCe){CYU&DzptU|SX_+H!qUTSCsX<)uzr`n$Jfb7ETzs@szO
zxh=ojv}4lnb{w164(A>1sJhgScE;^k<lBy$>Fo%+-;UQm+A*+md$x{kkI|C$WbSLv
z-y7|jV%eS(!R>L)ZBNb9_H<~_fh9dVaC>qGB35<a?UDLL2DJ`sx9@;SWCyZ~JJ8@w
z2c|Xc$f^Dvai7_dx(yxabh;zUv^%2W+L5UEj=Znz$k0z6+1a`iW<xuXJEs#3w|8R3
z#ZH_t?1ZOxC+?+oqRYKbtoYsuwT_*M8QqzWi#juWZ)bL2?~H|cXYvC((>SLyvz~P3
z+~3Z4ckjZ3iCyTnvJ0yYcR^jH3vsqx_#EDakwsnD`>G38jk{9Vw<}HS8|kvXD;G|7
z#aFW{kDR;GBd#lJD!QWip(_b3yYY2!H%8Cy#{R9{usPq2V*PG3_v*&%lx|$A>xTcg
zZait<onE85vu<H`w0CzW>1ucWGwsgUfbJa3>W<x`?v(!SPRnjRm^+~dSC;o6@L&&~
z-R?mjn;z76)X**HLCT9B{Ak#d@qK!7cv?>!*7l_Qcu!hu^klwMPp-xEB)F_6FW&W}
zUyELB8q^DY=|$S+Ui>=Si-~%@IO@?0r=(s~*7Tz7*Iq1a*P9z7dJ{UoH?MZ~X26x+
zY%%GLp<iz@GJ5mpL2oAi>do;keQ+7qhw7z$Xn&v&i*NPemQ^3ZL;CP0uMdNs_hFk-
zUyOV8C2LAw{;lrI)MI@)d8aRK4t=SO>PyGczASy)7v*OCh#b(5ceDC2WK%zOoau+D
zPCs(o`k|EAkLlI@IQ_XF9&P$_cUXTq&+E_f9sN<g)Sqah{(SK1&#?6V?7H6{^B?`m
z>okByV+SyE$pFso8-Ul10o=D3K-b^_tjrz2ou>nc{WpM5Jq9vj@<8^i8i?hQffT3?
zq>24N6p;ftUpx?>*8_RjWDwo^4`TJqL1=6kMEt2ie9;=jDAz&kiywq_<sgba4x(A>
z!7y|%7v~JdZ`)uVUl>eJ!@;ce9*kD%U=r^R=G%XR8PjnH2SyLUcF_<@_6(uL^&!kL
zAHwCpAp~R(;pyWc^!_`9_1%Y}GjS-%D~9s@&``#y4CRpRQ0&8pQdT&WR<DLKukkRh
z_8msh^kF<-H;ld~hp|y}7<$gbNR1uF&+=hR_%MtkEr;VccsLadr_I*kEI2=$>-xh9
z@f^;}<l*$M8_wo$!!c+-g7lFi_`P5RlXj2b*wqm@n~tE$e+2EaMzHA72yXr!L0H$3
zydFQ2fy+m-_25X1ZjU6>dL(~CM>3^gBqv^s#I@llYI={N!?aN>Sv!i`$43#NK8m-F
zqv{t~MzOtY6ejORk==YW4F-*7nvCYu=FzyH9Zj9?XgYa}W?9l`RBA>O^<^~g+m2!A
zh%xM(KL)d%W5~TchK43%nBg~uGZ|y>d@zQ4KgZCe%UD*78;jb~vBc~j%g38z8E!R}
z-63PK$Qw)kv#~T*8po_&<2W~E9Nw$P@!;q<y4@MaDu;2XM~x${WE`L0jALZ8@$4Ni
z9;;d7Dcm@orf0?@I^((EHXh%E@jR*;Pmj;zS<_|$n!_fLFn0o9w@+a7r3vgent+YZ
z1d7up(ER=cX8)MLrA`y^A2X3Bizm`+-$d5kn25H;M3RCg@?XwG#y*|M!G9C6>oJMa
zNt0-~Y7%pgOyY{_Bm(Uw@hoBzeTpZs;q@eRn@lF9-(-Hwn9TSMlR129G7egkDR-Gn
z>-fpcubj-akCO>*HH8;LrqFNB6gF*}g8qdmq!~=%m)8^~rcUAL-6=TzH-*X$Q)xST
zDhn4)<;I?=gkGD<E3>H#2%O56?5P+&o=V1_sr>0SjmZ<IaeT!zTn<g6T6r4nZKts~
zd>Xe3rxE^g8gCj+XHehiY@0qE<8{-?Ix(Gp8q=BTJe`xV({U@GPVM{YbZj|;rGsan
z%nTy8%;4R*84S^%!4A**S&ifw<kZeU>DvsZx1Y)Bku&jFFq6BxX43iUOqQF@MAd&L
z(U~*(@Ng!>e$S+S-Wl`pv&dUEi$(`$G4u8;&RWmHD|8n3^JmfZ#Vl4fRB)%ag4n4F
zKCMwO;<$o6>Iy6!6%<4(Xi}y?@lL_{=7P^a;h{q4zFAm(R?yHD;@yQWiNdHFVc!?Q
zx-Aq9hi3DEopA9o_!+}vU+9?uYaf8tPe|-Mn{Q)hGiK>*4(y+e?akSgSk9(J$ZY21
z&F1p6*#tD0!_%H~=sjf)>sQY~=ja@g)#mWseh%ZJ=5VNF4)$;6P}X!Vtp?0x-mJM?
z-8h$^({p*QJ(s?2bJ>_M7rm;vq<)&q&(`ypFl-)2=FY=$`#dTx&ZCXdJQn!O<9gaW
zLhjAu<@b5??=+vyW9DP9cs}WS=kxped?s1U=UC8uoO9+=^<+Nn{>^7mj|JSEw1BXc
z3wV8a0RvSRu+?q>MiC3hELy<dR|}ZZWFaT|EyQ)kLTc78q{FF&EYVuXZI^{a#4Y4)
z#X<&uT*&rTi!d3oi0s*mXs~S&(=IIHl))n0y%tfIvWQN17qRTWMW}RGOw_2wykEGO
zp?emy^V(v}%odXyu$YF~i<$9wF=zfP#<SZJ?oC)imlaD`acBu@%1el`S;EJ#B@8cI
z!tR$#uxPZD{60%*Jbfv%)-C1SiKTdJEaidIQo6-1WmWl7)ZZ^9uEjDw4_d}Zma%us
zGOW%mqfl=dO+A+($;-G<yA0p2%XrjoIXy-$XU&4;Xzp50!j<KGHCfJR|K;q@T#n7d
z<rM!~PV=rSm_2?4mzJ%-|G)~K+*&~|>lLgEU4eG~3X-0$;6J66jP1RWgHu;xw`L`!
z$5zr(eI;`pS8^qKC4r?YdG>ZCeVVUg!@yPODprxQX%#=ttYW<GDh|7^!Xa@L<<+Zb
z{bd#N+pgx?@YMv*Tg{6dtLb-nHJglAqwl+#wDi^dy1$x<KUZ_K^BSDSuAy?t8rtq(
z!@`?uxM8`5(BL(^%3Z^NXKUEfU@e9{*OD=LEq_+6W%ALr99LV5i~U-vBiGWtWG#!|
ztmRhIb%gg{$D5h!7_@O6+fJ{;SbH5=uIu<0zmBO@>p1yo9d51HQ#*7$9p|oR>Gt&~
zUtCY5;d<VAuV+ZwdUo7fkLmaI<aFGC(wGfQU%Y|SdpF>5eFJyRH_$m~1Iu$Zp!#G3
z(SJAaq5DRLP1?w=l^ZcXypcSWjWn{`$jpe1oGsdj*Q<@(Z@h`F{Wh_3#wPBp-$d-m
zP1JLN7~!&sJ#m|`tk^`shfOqTwHd{b&77aT8K142d3b&^-3>Og+G{f!DVvF}+sv15
zn;F$%3;RZG!Fu5qigs_I*|jZTwuOrUTky-;!sAC<==o<0YrAblYr<9%mv80U!L5u@
z-pT=+t=NWbrKDghEnaSAPNQvH?z4@6Y1??Zb{oA<Y-7E~Hgue}ksPy)?`7K<_kJ6P
zT5QLD(00mXJFT{CXWqH(T-Do7kjHkOCvB&1?RGYP-Hu+n9i)!f!O!_Sn6PUHN3QI^
z(PRe|emiKBxq}4{cX0jJ4nn%@<mI@X^k24<%?Ea3aBC;&Ry+9}vXe>qJ301zC(cT{
zsOq(gc2jq;Xw5Ee9@|COon7_ls9g+<-o@6^T^POHMP{?z{2j2HDT>{k*t8qhGrOtL
z*-Z!c-7HDm&F$*lM10=O+ctX`JbVw^=k38{#~!jT?V*A39;W&3;Z*t_-0$z9?#CWF
zb>7Rev3pTjvX`iRdwG9jFGDT&vNL!uX1ROGeY%&14fZjk=RVF%-iPO^ecU^;k1lHa
zSYf{pwa9(M6z}8X>wOGwx}V+s_hT`0KlvN>)A;m$W@+!|oa=tP<M;ERazEWZ?Ppc%
z1E>!@K-`=IeBO3|krxlJ*YE&V-Uld5JwVfY2axXvxX|$+zM~KFXwgA>>^;bu>j%*^
zKS)C0LB3`mWb~7R?EiZZo9>4wo_L7nD-SXI@F6a#9KzrB5KqDn(W~eX>s}o~yYXR?
z`X1)L>4zD+{xAnm9>z}dFs06iX&HBzxfO@G^5HOnEsyYQ@DcjVKEj5rN6<ZggcSWF
z{O~-&_>?0Yt~-Lmw<DCdKT7LSN14CyDA#r$CHU%5UYH)GU%*i|WgSKT(NWTVALUoq
zV@#ZIjHAns;dJmAmA8-4*5()s!;W#I;25DVj`6DDaR&4`&X#G%F<g6`jN`}oqkf#p
zPRBVOa~zkl<5a&pPWu)oSUl(ix8wxjn@{lO><I?xonV{C35=6YkX3Vne_u{8wcSZh
zjyQ?i{FBt~JW0nZCs}H85@o-WL}r}i-Gh@1`E`;VT~1*-?i4voPoZ?+6w_~=;<VK%
zJVH)!H}4dkpPyp6(rHwCohEw9X+Eqz&9Gyq*>&eM<_@RHi#koC($ma*dz!P&&fqoR
z4EJZ9q3fnItUPmuJ342GbvwhSgfon&KEs~RXRvH@mV#ktX)^CDiXCS;f9WhfMrV2G
zbC&MuXIXv!EE+$~65r_@U&fqc)RJ@T+jkD@8|NspI7hSKbC7$Ei%-wt_wO8!dz`1|
z<nydubsnuF=SfsO&o{gCjEOwYf#UPnzCKS$lMA%ye}OqOFK~Io1p-c8;HlOHdb?g=
zef$M<Dld@y@dDplU1Z$QiyWGB5&LZyDZ6lyR)!au=Y5f@sTT>ldy(h=U8HZvOKco{
z3B5&^NZoUZpVuxi!Tb_O0x#j1eTj<4muU0%5(~Ot=K93TgsiyC%R`sxuX35qwwEyo
zzf5}JWq!ZB%%sLwIM(+H&eN|@weAY-PF`V=<`r%_Um+~^3a`trFz~|_wzj;A(cr6O
za+SYZt}^BPRZi$%#ntmFHOW`$P<NFj->!1I{WT&+UgPb8YYg6fjqO*jVPblXZ2xOC
z$hyX~N7p#@`x@?DuTwYvI-QnZXW7B)sNB9zl=XGqhhArB!F6`NxQ<!F8|3!BLBnY`
zn6dT-XO7>%Q~d__9B<Gi<_0UuZlLz=1~JWV@^RozhRaQMZ@!7e*_-6+-lVa|O=czC
z<Xp{7yuaM!LEBq&8*z(O^KYTP^A>TJZ}Hjq79;&`u{YxuRu67b`12M`yWB>`-R8p5
z+xYIk&7+&Q>0x!7H6gdr%)3p(v)f#2pp1DNWrBJtlRHeAXOoptnx{<f)yhoUq0G9Y
z%ACBUjFy@*u13lv*eg@*qs*5`W!j}HGqOaPh4+=&^G2ELKa{a(szPul74rJ4@O+F4
z4QHv)XNd~aH>$9Hp9-f=tDt>D1vhOK5-n7yaaG}KkP7V+R2Y@3!lEh__C8gq*Ys4d
z{HH=lYgO`lsPbZ{Dvc(q(s!;ZGghgxVY@1)kEo(^Q5APpRgw%<skKw(o3|<*B2^ik
zrpn@CRrcLe<>qTutiG!f+C+_lj%vK@r$*y3YV@0_#>~ZPY}}y6nZ0W0o>Hs7v(-q}
zQlrjXjsINK=oqBNn0Pgo<fyT~QjJ?r)Uf`jM%Z693R~UbRrfnI8G48Q{|Bqixx=QF
zcR0K44tj_0;CbN=DJplkYjB6}ws+{{eTT6TcUYQwhXX}-xPA8yHm~jw{@)#n8msfV
zgE~$7sWV`-I*J+UY+j_!x%KMk?@`C=q&lhB)VZgr&JQznI=iSdE>N9iaq1k*R!6x)
z9oxt1M0`-E_>VeoT58a&y9NV?Xdn|c*fLv#^D8tk*s6i|Aq~>bYj9s#gP-~ubg|W7
zyq5;c!!<aRqJc`G26lBCM84FZ<eLU>8)?$KgJ%67NfSnCvUR#97Zz$_xK0zF-I}DI
z(B#2YO@3);($!3p3C^0V2+-tktR|{in%I|X67@)v()XIY`>jcfmRbz%rp4^RT5Ox3
z#YMC*TCRof7A-OkYVq)#7Qb(6(M?~Ai8flS^wi==m=<cuS~wJF5nZcA*$XY+f7PO8
zBW;GX*Je&1ZMKip=F&86j2CF*w^p0XUD`Z4uFan-+H}{@W|FBktDLks>aWe67;PLg
zwTUUyru?BcAKq!x>bEvSTj(&is}4H`>2P_x4kn_5|1ur2HtX>CfDV7p>d@o14wLnC
zSZ%GtF%KQoLv`vkDIH?-b*QM(;p1~1T7T7HSVLXrwbNy1Z(Xj8(8YABE&=m($zG$&
zlbyQ!JElv|E4oZk*JX`~F2@~p(eTs7Ia-&v3|%Tqb@}u_mp1Qo8U9O``OWp%)kTl1
z1NAT)r$?Ydul~-_<LM?n8XVB0*I7NL-qK^Ot{x|>^w4zI!zDzI_(VOb^7Qyztw-DE
zdW`s@#{wmNcDL2%S}%RfhwBqGMW5Vx`aD~$kJ3(kdLPqg+GTy#-O=Zyu|8T3`ndY)
zlMtm(b-F%ZO7v;>K%bFs^;!5+pFPbCxZc?Sivb1%k2N4~mI2R~7|?K&0e$uxF#U`H
z>u(xxO2+_gO9R~83`h(%peDh9uek=auQp)RGXoZVHehc9LvFM&#ImO$A;S#GpKQpB
zxrQ`aZAjl8hSZO{u;G#+r_~J6F*3y6-jF08Luw-p`Icr#hY~|Z-#4s(;~TQ?haoqc
z8e!GRh|vB<6pS(A<xC?QFEOIuMk8kKGh*XuBhK6~LRZ@e4+|rbU5%&<GUC5@BRb|9
zF{a9hB~Ojm|H+73|BSG1ZA@4XV+w~F^J<bYP39WYf0Z$_wi~nQh%sj`8l$IbjHjV7
zDR#!(^)}{vgfX4cj2T;O%+h<t9C&Ta?eE6eG%+E(qX|X*On5!ogr+l17_is`#Rd~L
z?=|7vDHHUso8YBoLaMn5_gqZ)5oki^coW9un6RwUgo95^Q2uCw?OzijTA5PZ-IO;&
zOldaBl!0?hk(H)w*=EZ5!=@NqFvVNNv|dv&<-V;cKfO%p5@E{tR8y80nR4i^DJri_
zvHQ=I$i`-rbTH#>Uo)DIHe=8XGgxHC*7asw*kgv_Ni%$|nUSt(#sf1memR@bHPDO+
zab~Q@Hsf%G8LE%Xu>W92)E_fSTblE(n>j6pm@{~yIkRV*vu%Yr7q^;YbjTdv^X6nI
zoAXfLoZmL)bn`N2Vz@agQ_MM1XpUN)ISwz)iT-9zStASHx3{2WUkiqevS7}13$`z`
z;L<t^jCWh$cfx|qs}?-cu;7oW1>K!3m=s{as#pt-W?68j+yci(7R0=_p!~N5A6i(_
zs+(oKBx+f&VOz2TOD-?B#AJ&l{s%3|I%mn_+m`&*v!sWOC6hfZSsiA{v1Cis3oLP}
zwIue1B^6&S`Pk5k*6pnr*2ju@Bdypu&5A1vtT0_`MZhjAvX5Kw<cbyl)UD`gYQ+>M
zE7tg1)xS}#(8#pHxy*{VhgMX+v*Ob)E84WMW_VX?<`1%F*LZ8LiZy1-tO?v~P0j&p
zo}RU)!EI}L=~*+?+M2Z<)|?2nMl;D8mwapDYpkhyZq4T}*0gPC!-#e^Ea+{+?h!Uz
zn`(pkd>ew+*pR!^hG)lYP`YA6Z*?1{nb@$-(T0<LHfTlL;F@7WLa7ba4{Z4I)`oV!
zY#7<xmW5qx*)!0V>*H*(P}mZ@)Rw$Wwmjc&OT)9a^tolrbX{B4TiJ5T-4^W-Tig<D
zNzAjQrrMUT&unS`#g<V@b}VXZ$KGCc+!$_$<rF(Y=Gl?I+OA#`u%pp2JNjO>W5yjj
zHW=G++QAMTUpw5R>_|$tqqfA3Z};u!@YaseKkZoD%$|Ln?YTL?9;>nTgwC?3V2M31
zH`>#9zdilV*faB{JsWlGIb&&$uA4m`!S*C4*i)Bl&wo|+bbMydn9uesY2d*AHV)kC
z>45bx2f`*hP&n6tSF0RovcrM?M;(}T$$?F34xBY|K+oO*Pag+TA|1G!=D_!22Rhw%
zVC)+Qmi}<yKvPF<cXGt0za!ye94VUV$m_+9G~MXPfPIcAPCK&sh9l>+9nrUN#LLx@
z)F4Oh#XIsN$C1uej*NTi$g)q4^%|@r%B`KS?cqekP$!BfIq_zW6U|mRF>t#Ra>R)(
z7o9k->V$!z6W(@Cq<K4WKf;NhsZMk$c4GWJCzii<;?Q>|RGK(r*U_2Ce$JGPcINF2
zXPPf|X3z#_*z3&JQ_ftt?u?<9Gd||dq`NrtAkdj#an5wjab`lLGb^4rbNHh(s(+oa
zZ{<Q%cNa>BxbSYG3oYijFnFa4v$wgh?XU|MFSuZ&;)1V%3mLX9JoIwmceo4PQeBu>
z<ig6kE*yE~g4%yBI5c)8x`QiaeO-A!%9WNgTp6;+l{xEO*}lh>ODA11zUGRbrYo6d
zuJxXmD}Mr9=^p3Gq-<AKRk(8Wu`72zxZ?Q7m6(=ply`IE!(caBO>|@EY&YhvaAU_-
zH!dG?!{odh{>pA->AUgR#*M$8ZuAIuV{(ccs|(#YR_BKLOE;Xpxe?pQor?DEeC*?1
z|EG0l*mQU1Ep%t+I(M$@cE|LDI{{bS$<}b^iK#pPoZRUd;Lem-ch+RNbG+OgjYsY{
zzjr6@w>y<BJowbrgEoUb7(T&+`FOBvxd&IbcwlzWgTQkh<lOe)sh$T7Y&_`Y>A}=6
z57s7oaH7Bi%~}s!UU(4y)q|>ro_ucSN!vc2j2P+3f@z-YUf{{KwVs&o@+9cEC%IQV
zd8Y1(lBp-XojjT5@5#CtPflifqE+UJ>qAcx-g#2}%abq7y=d3fi;;u8SUBE`J>tdn
zWnNfp_9FOz7kOvBcz(-^hI(G~vG!uRhZpNZy*QQRRj(m>;a1~C;&U%*zIgFf$(#1=
zycyNon?)nM**n#n8}q%fT;om1PH*y$dGq43H;vT2>1*Q63`cJ^_<3_W+8dn=Z`@10
zNqXQ-?OSiY{q&|ob00=`@nP{mANGy&;ikd|tEE1KZt|gEzYj0Z_|W*45B+p~m}%w1
zMt2|1g!rJF=z~X|56RU&)IIazzt28&RPtp^TVIy+@@4;UUv5qD#d@AEVXJ*9+~Lcs
zqrNn`>`VVUzRWWAWs`$1XMKIqi}J-Y-ItUSU+&)b<@+07I{oxzY%@QWcJ|}I06%Vz
z^}}YCAK^><DB9@9>wSLpo{b*^Zu+6n@nf^4ALrcs&=2;*E5VP{TtDtr`SIhaADut@
zF|L6>%i8#Ju%|!D!~C(G>`%m8e~MT6^Jcq0&5rsr@RC2G=Fb)*f6m+cW8mYDccedQ
zY5v?V_UGq4f4aQ!XZ#O;mNyOHP^SP?`UhY)CV<G90hBBb;O&M0n(qr>(CGlU5x`dM
z04`VrVCWivPf!5q@c}%@3E)>{09~I3FyT`GEB*y=xOE_^Jp!>G8c5WnKuYHX@@{1y
zEw%?T_(&kLF9xzrHIR#jff(5Z;_DqqMnoVFQv>;36iBywflPcI$ja}59BC3%?~w=L
z&@YJS(Lt2W2;%*sAX;t+V#wYg=9~&*`}H6$X$4_y9)zDu5Sf8NJc<kAPj(R9D}$Ky
zB#2cXgE;y(h&!!<aqJ#U%#dKpCkFFjb}+401~YV9Fmn$Fv*SWAmsNr>F$k{Lz=Fy0
z3g&TmFn?2m=}{ES<h#MFeih8I|AJ9(9D-Aa5Muj=P%$cmkJCeFy(olX>qD5gCxo3R
zL%4D+1XInB`uWokvYkVC5)i__*bsVVhcKlggf)*tIQ}67jXxncw+tn&TPT%-L-{lz
zls2<N8NMQv`CCKTbtsgp=R+}54kb`OlpLE-o_dDTAUu>_DWOa)3}tOyC?{TqqWLWp
zmqua4w-2MLPZ*y^hS7F<7$X*jv0z;oyLX3i?L-*nSHlR>2qV`tjAu?^C<TPkJ2s4I
zSz)Xz598#cFtpx>;rcs_gcjjccMa#upm5qv2(R}X!dbXHoIP8@xqdJli*w-w-wr2F
zFP!Jr;WYFNr%zZo)04wlUl7iz+HkaAgyZ%#oWzC^)U=D>Ywrl!kBnf{v<Mb0h+yy9
z2yX0(!18zmAy*>ESC8O@Nd%3YBIxTM!Hk#)He^O{x-0^nhY`5Hiy-M&1hvg0`PL<p
z4uc{YJwB4f63M=0k=)!IiPeEfLeEB0a4V9Rx{)-tj-;PQBr`)J*_af`nfyp}Ya;P@
z9!c_-Na~cL_^)jg9eYPHW<(TArbe-UeiXOXL}9%%im+o*6kd+v)txAsm_*UvF^XA!
zQEZBi;%r6~dZkhI9&Z#WZ=<;TGm7ucqUqEnny~|;SvoG71Bz&FFO9}#Q#9fGqbWKQ
z&Fh=dG}Vn}fK@aK_h>eUL~|}N8vVRzysD!~eHP8V&(Zv75JTs-F^uaK!?NKq9Gnt^
z^1K*qSH}>sBZlImF}%4HL$f<E3^a~G9Aenw8^igi7!1;5@GglV?S2gR-^B3qM+{w>
z#WKEgEXxPPa%gNUDzjp-TM|p;##l=B#q#!aEX{AmGDs&DEMwW~7R!a;SPT<l@yU%P
zy(*RmPh<J@DVDAc;+W7Tjuk!QI6N#4)yZ+#&y6E$RUD<;<9K%@juw~V>N7QQ%r=T+
zn|&M?ec~{RjKeoAj*Q|s9^Q-N_v<*i{fJ{?(|A^PiswlGc+|$k<1jOx=*97rZHVXn
z-gsJ`j%Ub?c;;xwv)v+|ORn)42gTzTA5UgZJdY~l`ST>6?w{hB^e?_%Gf&`Xj|A=v
zO~7$d0x@$EC|{YthiwV8I+DQ9iwVqCO<;#%0+;O)F!4^nKO%vw)C3+ECGhud0zF<Q
zF!_4|tD7WptYaeT{St8+ok;AAL@E{~@^O74t@kD}>{KH2t|zinE0HVaiI}=15)hb3
zc3dJ)vJ?4Nkx0)ciA?#J$eO>29B-9`M)xF~ha?d<F^S6ANqkz7M4N3%3_qO2{0m9!
zQc2>fK@w)RNd$T&krST8)089{6eZE?ZW2>pC9(FuBu+F=MzcdQE`5`UAC*ki^khCS
zOs4JnWJc^sX2Hp1c3(^8nr1TQX2}FOC)azF$vlfqMkza)-WADAdz{R=56PVTlZ;l&
z6kNNdkT5uf>Io@)A%%7;QW&{4g@uPw*mFLG>&huu=%)~DlR}<n3eUq*Xqb{hpTZQT
z*QK!jWeTUhrJ&s?6}R@OB=$+AW@IW~r=`+<VJf56rLt&uDtk|)a^q?$mKv#qn5L5N
zl*$YLR2s#m(l;xW8Re;Lc$CWN_o?XoPQ|@N8cAK#s2!BXxAAFoAdS(>(^$MEjeQ5x
zxOpxOtJ`UW>ZMU&oyJR#G#ZDc(JwiTnFVQVtWD$0i!^k<rs2^ro#b}u)b&p1zY*zl
zoR-d*1?lyfkaYI%O6S(`bgZwW6Q-U{p-DQg9MfsypHBanbY^9yv#Bhdvk%kJdzX&q
zuXIwHXK=Sm2Hyu}&}n=IV<m&7%Q85yIfL5=GO#(DLHMl<igYu0ZIwY&j|>KcW}ryQ
zU~_&(z2=*N{__mHzGRT9l*zrenf&OLN#_xnjGLOtviX@DT$73N&P;5NWfE~Ylj1v>
zyfMzCnPVmc{W6j0OtxfXa=tVZg9n*-zs)4=XD0WXW%09f7F`BrF@9VY%N1E1TAGE*
zrY!9CXAyZOi;|mJyw%B~xm6Z}+_NAgi>--ST*%A9usRE$XIb?byeu9x$mUm@Y`XT!
zX2S4nR!qs}@VsnPS7&3tBb%tB*_2+&=ABwLEsV1n?2yfD-)y!;Wpgn-8>5nJeD7zI
z@g|#xKeGAVG>2}TbC@_Fhm~V<I5H~-wIw+?Y|J5gUk+ubbLu^|99rt+FvK#4Ic_;@
z56<CILJr2cIrvrOkoh!+N1t-|^Dl?)ZE~5^GnZAvaydFVmpgNFaa@&4%=TQ$kL2><
zVlJ)Jav5rr%Ut_hcKGCSIWiZMv|Rj)bIH1w%j4I%{QaIwkEVG{?v%&s{&^f5lZX1u
zJe(Hi5xXIeioJP!Je5c58+i=V&SRcM9y?w0xDu3yX?z|5IeBDP=JDi79{)b((eqy(
zQ(EV<rbj-<hvuU(DIe!K`NXZvr*d09pAP5K=3+j>Rr8r|n9nY|e6D)uV-}H5U}`=&
zMfp6vn@@w+`Skjp&(tObtnFA(pJ^ySb94bNGYW`bR6y1G0zU64pzWywMqDpofmQ*#
z%?r5ZQh<420YPyE<YpJ}tfBy=Ck6EWSirQu1*~gT$jR=7XbmaEbz&h2vkR$SQOK9A
zg|s_d$jA$YEL16Ek3k{VZ40sRDkM0(ki3*ao);F<@NOY}UKKL^ze3hGF5*;&BDDJ!
z;Wny>#OX!UEG**dx+2=|DPq*gA{JdMVy|WqH_VE#bS@$!posj~B3@(_(Ws(`zK@HT
z@u7$fe~LKWvKXCi#kdbHCTT)3wG{Jhc`+Tf7Bl)#F^kU^vroC0oBG9A*%TA%SxiA#
zaeaoYn8t<0^s6go=F4I>ek<loqY`x6m*CN-gyfMW)J-elzXc_9Tvx)F-6bqJQNsSK
zCEU^|!P>NhFsBj<{Y!WiQ$mxh68e{yFzZnXo8Fgj_IC+-ElTn1T1v{GQtpl~<-3&D
zdqky--BQZZgQXleSIX_%rP%0|5^h~ekw+=7LrZCzT*`ogQWUkNY<^M7xv!<@H!Q=e
zT^Xsp%eXh9j2~0W=)9neacj$1wyTVT$IDQ@QiiR184)IB6g!sj#;=TKF=Y(QEJMo5
z*z&N9^Y6+q_*I5?^K#O<lyiSzIX}mh(?!Y|zpR|)o6GAnyXB~yEywOwIgz^MlvtJX
z*1eqOq2&xpDu?`Xw$_w$;dwcRU&`@Osvx~>1rK^v@N0MlU8hzsVSWWG)>LqKX9cRq
zDzLv?LDZcJN{uUc=TJclzX}FNS1>!Hf^DT0TzpVb@5xu-`?G?KW|chbT*>bNm2?|d
z$wWmZE0<PsWK$(-`zvucQ&~S8TuGTuCGRaOY3W|ckdR8|Bv!ILuaZmEl^8#(#P4$@
znGLFV)TW9*J*((GyoyOvs#rCzileKmxU-`Q$D>umT&kj6t%?suRkU)bVyJHwbEB%*
zkzU2+k}6E@SK<GrimV@1JZ@Ue-%i!^7*NgRvDK`eRn4&_)u?Z*#%W(Qv8Su4xKYhV
z?P^+ERx`}4nt8$1>`bWUN^Ui#Rn-JMttR_ZHBbIk^RIOcJ$u$LWmpYsCf9I$ZVei%
zYH;3OL)?)XDlgXXNwuav169Lt`x@r^)UYeEhO22cm=)I$c&~<>*EKx-UPFVXwe;##
z%hdk0tQ}L!iJ7%%F0RF8LoM-pYpFU_%jfI0wAHR<ghee2Tx;1KRLiyaTFi553976m
z_em|!KGvf2ua@4e>zLM~j&(!pI60{ftvPkLuB;<rTOHMh>-ch^j&`bbj5Mrcp<Nw&
zyz96gQHMop9l=F)<lU{~`Kvk_ey^iXle<jsc$fA4?s97MU9@N1#ck1D64&4TA4TWk
z76kRSVfNm8@4fft-0Z!lL`FnpW=2M2WJW|rMnq;tL_}mnL}X-SWMpJS<d2Aqj0h1C
z5fKp)5fS<PuJb3HbDi_P=e?ij5&u3oAy#%y2#q}x!uiz+5p!rl6n-=zo<A}n>c5{5
zUky%(p}!}@rRfPFy)+@r?oNn6<+CEo;H)UIJ$sKiJu6x{D}GEmE5`HAikpv|6`D_<
z6)u%$MeG}A#Y2r}#okZPig&xuilaZB6~7Ok6?6Zc6*8C43iH*oB1mRZWNS`}C(R~B
zjq{}VBw$kXMNf+VGA6}p!KBdIIVoJ9n-p=?lcMPDN%2C<q-gkJ^4?5&QVjn(DK3vr
z3fbvNVR3Cz1aC}=9Hnz&m;O2Ny3IM!=6UX3m2^%_B%Twuwwx2%kDL>3rRPNai|53{
zwdX{|d*{S^ZRbSy*XP6^edomd@8^Wvf9Hhd+&K|)^PI?)o)S-KOo>|4De<Y(lsM@>
zCC)}oiM8}8p;Is=+#jD33FT9w_?0Q~;=w7=_~DfJrgKV+d^aVo3{2f){HKJ~`6&^)
zI3>2+nG&Un=fxX(=S92qdGWKyc`+G!UffPNFLbw@7aqmuMdDNE#UmBxMdj<~#rqBC
z#j#J$i$9N^7Yje07Ye_h7uMtFg}8KH<gJ_+PfJaUI`wJsnaQ;1cbpdI{HDcv<h0OB
zpBA1EOpBx)(_-7R)8eIl)1v9EY4L6Iv^f3ww7A+cEffc)h0R~nf~je7-_>bRwmvQ1
zRJb5IbT5cstS*Qt_Y2}q$OWOFa6x$GUJ%I-Ul5P(x*)1vxF9~LxgdJpy&(Q-y&x99
zx*(K(ydZ3cE{L#yFNplv3*wm@7sLU{8S%N=j2JMU5$7Fd#D?#TFo>KH-f1%;W$TRC
z{@9FodH0NHetAZGcVI@0elR1hb<7Cmo*7~H%Zvy=JtOWvHzRg0%!s#c&xlU>i{e+E
zi(=aHqPXjJQ5c3?6h846MQYAP@mSGCvG2)?;={cc#qrlJiofeGilvV)3YD)e3i}fm
zMa2IuimhW8#j_VLii67+?=h3JVo-HfTripyoA$H9$ahxwM$C$|)LF6P{#o(L_F2*L
z%&hpnYF3<ib5>k$niZ-Yv%=xqSrOSkD<1fBR+LZ9inp)KiX&^Y;y1ZVVn+Ltkg&WY
zjNL8?zu-$EJ?@ftJo}QUe&~|;sN|C9eg2a8Xa6O!{LUqz_VFd**mX%n{cuSXoVp~Q
z`{$B4G;>LOdHs?&wRuTgRGAZ!Msvc%eopxN%!!QfIk7WkPQ02wCk{V4Cw?fK6JsyU
zi5qouLcM8DIDIxJqL0mq2Y;Rudq(EOJ7?!a*ZiFL->o?@D|=Z;X<rtm7MDeU>t&G{
zbXhzRds*zyx-32}yev*UaasJk=dxIN^|H`-=kh&9{j!Mp^0FxGy)2&p?Xsvpb6I?K
z;j$Q7x-2f;y)2|v=7pKzya=?L7g^r(q9klyyp}vKTJM_|KW>{B<4@0vo0aoIvu<9v
zygx5u+vmkY-^`1>C+Eexf6R-c6Z7Kt%kyGxbzaEGUJ>S6S45Ecm3s`z74c-?6;Ts&
zMSPNZMf5#*Mf|t(idcQ_iqLxXif}!2MZ|q{MHC&mB3}6Zif9<TBEJ6niWr{0A}(LM
zB4qDg5f;h|BG_O-<k&8VU0w^~brwWh(t`LYZ$V5vvLJ4iE(q<)1>yF_f{1Ti5D$O4
zAS${S#Ctz2i0<J9@yCA)Vt#Hx$gM62OPQ-8MDwc1HM=UFa=t2R1FqiF1YH#;Gp>rW
z1y{w|<5z{wb616X^;MDZ_Ek~ba#g(e#Z}RG{Hplo*Q;V=^s2aW{;H6_c2!tyTos{8
zi(-rZqA0al6mNJgigvLmeokBzlUo+W?cznDTe>JbUR)H3wTt4B_ZCHE+oE{?>qT*_
zZ}A@Uw<s3I7lp#yqOiWXD1`Jik*9G@JZ*YS)Hz)fpZQ-C{ZZG%x%6vd{ef#j@9}HG
zv;3M!dgYqfcJP{b>BDQHsq>on_PcB1^uRT7^{;C}@%%Mmvv^H#=bE@raY>ZvEr~a+
zmqdrhlK3TbNlYayi95MVLce%Pcs;cwk}H<PqpvTCs)i-;!6!?i=jf97>&GRrIJ6{`
z#+QWcr6m!zvLy1Qu8U{XuZsgF*Tv_K*TsO}b#XrOy4Xm&E({*HF1&YK7b(wP7u)w;
z7cakcT{Jge7vFt;U5xfz7uSBdE|mYeF6^eRi}0)0#r^Bo#cqXV@s{qg=(JiEzq&7r
z>5ye{H-1?d<}M4LhnMd$*306t7na4onq~3fyUXHu>$3R!t7WltVp*sREerd9mqo<v
zve<fKSv)IwLmX7QA-*uaAqE|8hzq_q#Ad_|VU%`5_-?%+(jL1ZcI>_(UU~V3XgP30
zeE-1>ai-&jxc==8q58`W;c)tfh&*>gJg{&>l;6G~-j-hxM|4)iZ<Z@!#%)DNgsceT
z_!Z%ovm(-qR>b2^u88WrE8?TqRzz?8iumW_6|vm4BGgW-2*>}eh^Vm@QE+iZJh!|e
z4oTb;U#i{|r;Kiji}p8#r0-2(5^+=br`{A9_umvdx8D@6K66tXuDU6Hc=M(hYq}|J
ze0Ec)e|u9n_1_fHf8G=iPTmxIuG|#wtlbn{a;x_=EvsVIVpT}FtqRlNRS^)kDl)TI
z#S;&$iv1<4;^XI6#fkl^;@@{x#meDTq0zM}oPSsqF{f5V;XkY5`I%Kwe|=SawYe&W
zRBnk&hPQ;Y{VieUb4vt<-x66Vw?s+)E%Dl;w?u2%E%D<^x5Rket$WPcEus0@E#Y$P
zmWciNmUw97me_mtmUwsmmN<IrmiS$EP0VSn2^otuVeYynf`ZmWcI=vXGHXrL6t0O+
zo>&uod)Dqn0j-JELu*3o@S1S_a!thbu8E@G*2D{E)<naFHSzV*ni#&jCN3-A7P5x7
zg@xU15$t_i<b>T8yOM8<*YCS6+P2*mKRtb0OjO<$x8ArdwBNri+}dy7(-7Vk51+g(
zD*m`F-kZ2Bx-Z`rf2`gX^D^r~PHSCQny-rxmvxaFxGtWGSr@gL>*CV~*Tu=5>*DNl
z>td~XUFaNI7w#Xei-aTVqWJrD@#5gRX#9I!d^5c+My{=kD;w)VUipr&GPol`ZSROJ
zUU%*>!gs_QNq0nh-W~DtBX`7P=^b(V#XCaxjXT1l@s3FR^p1F>`;Msm>5h1R_>MUC
z-yQMi+#RuS^NvuE*$~#68$y_Eh&<;F@pQn3sEghZpJi-_{(=p0?(q$=UcMppsyBq^
z+Z!UOWkYQHVne)id_y$-x*@(D-4LhGZ-}dl8$xkoL)a+Y73kj;_u1SPWuAA%o8qqM
zNW3e4*>YD*72g$ip1LdaU%V^4YVV5V_wI^E+wO|0ukVTv`tFLJ-|vdQ#_x*7OLv9R
z&AY-@dQ*gHY>Ir-P4SG=ra0igDL#+d6a(p-;`{@fVq?dqFeu*?-mh$ml!KdM`-hw2
z<<3pf{N1MbZeUZ4{<V2eld&n37dM67olVgqBZ0fJ1ihLPBpOICW+uTlTM1U2C8+X}
zKr>K+W+ZTpk>Gfe1o4>?oXL}*_(2JlACaJPrv&OxOVIS31kRNb^i)d_`-TLgZ%a_r
zD8W*T1Qnl3pn61t#%>85zn9?HPZC5AN^p8ug2KNgSo}|dz0(pXUzVWZngsT%5_E4!
z5Gf<ch>|1)nvyK&OR~pI5=C1{>YXLA^^)XhfF$8aG8`?*)+9;hGbAa`lSKYONe(?C
ziS<rNx=JPCIZ1|IlqA1elDS$*cE2r&Y@;LxTO_gkRFWfKND|sD$*JR#<ozVc?5~oP
z4ND^Zw<HJtlf-;llFm6vg0D$3cvF(x4M}FCr6^UBLQ+$TI(;cj&7|nCks{DpiUCh4
zvIC@;7E<hrmSQteirNe*jPs;uFOb6j5h?l~mm;%Nim7rbN?w#=;}t1tYNarITZ*>#
zr0{K#;$)i?>0d}O`Lz@~k4v%MC&m6>rO+RiqIFaX@BgIeJ1<4*oD>s_QtY@X#o8Sy
zs->mTRg&hghBTh~(ws1rCfP=saVKfEdrGtFFU>w7jdrv&Es4^&XGqh#MViC{X~v4B
z+4i_JD^E#NRW6O@i_$c|B8_XUG{+B06aStxXFimsxJ{bnPH8H?mPY-!G);ZdIR7e5
z&+pR2j!H8+E=|#SX_hWYQ?V$G>P=}H??~e)EyFQI8KO00IISl`p{Wdu)-vpMl0n&1
zh6aBb?1c>7Q8Gj($}o~HL%|jq79NmcPq7S&kIPX1lnl1zG90atA^a5?hF_Oq>p>aj
z8)PW|PzL!n84h*IVEwfWUEj$-pA16-GUWd*!`xpo>>igv_Ph)SFUerJD8rEz8A9*K
za7s#+JVjY%)nzHulSSH8mIKzZm^;bR=^;z7zbu2HvgAg|GLs-nX}T<uTV$zwKo-+t
zSvq#e68MxX1JBBmT_MZ#K3R6XF3aXyveY)nV*H^j?Vrfv-ziJ~QCTv-lV$2hSxN?E
z*%*?g<}X<c$7N}olEwFuEGMtZlD;C#<hm?7rQ}#wkYm5P9Qt~4w3^7_Z7oNiqa3Lo
za!mNiu_IKDwMaRt6XeiMm*a4*9G(xzapGY)l6S~4zDthn&&sj-f*kwy$)Wwa94&9j
z;ocxeZ?hbUpU5%xxg6V$%CXWTN7avVXb#BHJS2zfUveD(SC058InK<=QG8X7<r{KT
zuFIh=B~O!rJkIL!^ytbHYa-96l{`g`@+`T_Q{g9%YN$Mok@7eu$a5@Bp6Fb8PH&Z`
z@L_otACqVAE_sxnm8anadF=Pe(_JG^<XiHLyem&Zvpfr}^6dFs9>t^b)c43^`=dNZ
ze~~AANS@)-@@)NAp80d~l+Vf|e^s7CH{`Kim#0fo0TdJ%Qd1ybSAjWW1$J90AnT~W
zL3af#{S-J7qCjY*0;l2?$V*dTHb;T7tqMp#tiXZC6fobVK<91+f?rTz@MQ&ZYZRC{
zpg`%n3P?69P}iz}>E{Y`e5F8Oj{*ZH6v+NXf$9G#u<Nt}n_~*po>RbhR)O{f1^jO)
z(0^NjOi4wi<P|AVQ)EL&ks4z~46PJtb5O+BU6GT%ilm1qG8v)B&Ui)EQx(~tqlo@i
zMOup#@qSE^z9$t)-L1&PUPX4itjOAHic}v^ME6}q4u7DCXR9J7IuuF%N|Etz71@45
zk=1@h_We&0?bC|1j49%NPLbY=iX<*5GPbP9w%dxVNGMSyuY{(W63seFxEd>Q+){~n
z2PMw9DN*dJ#B#6_l@Us)$1Bm4s)Tcn5<T}T5nH6h=yoNFo>XG#86_(ADxvza5{<7Z
z;dnraWA#czf1t$akCiCwP-3x5iM`({p?pG#hJGdN|EEOvpGriIDKRpsM8QQR7Op6<
zXITlw+e*|+C}S(H%u!Wk!gZ7xHd1D*r84vO%9Oh)Bk!xsp<rdKBb4ciQ-)M!hO(8(
zzh9ZThm_g9T^ZRYl{xr~GM0OlIZ~xe=xfTHdQ+LadSzytlqvgI8R-sX4s<DF{;e{d
zKPVI2ugu^nWpe*iX67GdN+*?(yr@jw6=h79mFZYhCQw3!0XY@2RaKbQR$-Ts3Y!)x
z)Y_|H?50Ayj|%?5D)fh|kQt}KREi2E*(z-0t5EZh3WnQNXe&{{_ZbyVKCeQ0l?s#l
zRoMBa3hVEvu)j$K{f|{>{Y(Y#E*1KYsgU}E3KKu8u;Y{pYa=RD|D%HLqzZ>;RPel_
z!inoDB(JG3zNx}?IaO9wRN1Gkinfs|Ef%V{+pE&+s!F1dDq}&aYztRqC03QH6jd~{
zRcX#w#q}Xojz6kOe2FS&%2X+SUX|sSRH@vriu#+XG`*vWbCW7PhgFIFOqJ0uRVg~A
z%2KZ?6+f$@dP<eX5mg-jQRUcKRibB9IX$mR;dNCOZ>h3(Qx#=7H5ydZu-8_j+fa>2
z3pGaU)F^OOW5HXEJwa+HhO1E@tA=fg8b`C#2+vnzxKNF)kE${Mgc{{#YREsY#-W$g
zu->mmSDhNXqsGwtYUCeQW3F9|-CwF9drXaky=qwgtj3Yw)Ce6><J1{7^3JL;dqIt|
zc{QZ3t8w6#8s?j7bjqp|tfJ1KmO8nH>dcs{Q);J<q^ml0-s+eJsnZdrPGGD$1Ig-S
zXQ?xNpE|n=)!E#pPVE!w7?-KjzDFJZm(=NhRh`T_b*2ufQ}Vt#8y~4t)2@!;m+G{A
zqmFN{Iww!6lm44JlYgkQ^Nc#{6YA{0ppO2$I;~6Uc;8Z|@2)zjvKmY%Yp_F0gEa#U
zs?9afwbS6Riw2(F8k`8!AURBf@fZ!ZCu^{pslmScG|(>8pk<o|?oVjY`?Lm$do&oU
z)L`4I8mzpbLDeA*G~d^t`6CTn+ch|TM1%NmG&u9U2E`{eSRT}%@(&Hv&uGvzp@H)S
z4SFtX5WA$o=&A-qcQsg&(WF9I6ICru8VxjYG}q*qttQbfnw<91q%csEMKswPqlt2|
zCJmXI*x#o~_k)^5ZqsCBrzQnYYqId1CVMJ1QG8XC`ZqMOJ*3IeMoq#$(q#BkO|~A<
zWWHOI^6xc~KdH%~K~1dx(4^~cO_<PRXj+r}%bLtx(`5ImCbD-mIVhurrLq=BG_?pd
z(BhPt7J0T>%sOjP=B0&npcV(v!aPQc&Lk~@Gqo7Z(<1jlEoL6kqI9Pgl22<<_na1{
zm0EOEYZ3T{76Wf<k=>}pbc+_dKGkCL3oUB9wJ`o(i}s(i@E_Eoe^`smzqOe9Pm7Xi
zEjH$~sJW(v;i?vG8(R3vXme6Yn{-WWCiS)1X{OD(jW+w8wbA#|rZqqtZ?x%))+RMc
zn~4l<cI0WZR-jGwBiiWh)aG!hHlELEbK*s9lB=~DuhnMz+uE$Yr_H_=ZL~ktrsWH5
z+`F~uJ+4jSPuh(As?D}xZB|CLsrpYF&1r3#=d^LXrp@u2+Qe^Yb4FT+VkI4xHFT)d
z*FoJ(hb9{xoSk*(@zfzUK!;JGLs7I2ONlyEWayxpr$b|b4vvrLaO`m%qDyr+U9Lmn
zi#ja6qQl-=9hBeJq2WCp>|1o`Zqp(13mrzj)}i3I4hwxc?D<s(#bF)lM|H6MPlu!D
zbqJr+VR%u8tv7X;zoSFBv@Y^Wx*XEb#adsNE>m5w(PhX<mwZoM=KOWpEp(BM*5zQL
zE|wX(9ND5vXn`)Lign3*T$kCWbSW#>Mfycu4!oj^d95y;2XzU4PnW?Db;)hhWu{Y?
z(yw)qJg!S!pDw1q>eBJME`g)E42<iNeO{O8OS<e@)Max;m)bkJ7)$HXuBeB<h93QT
zdSsgFF=eesiIW~19(vUH>tQJLXp7RrH&Kt1>3XDZ(PQ!fJ$4rBvA#o({ZHwkU#>@M
zg&y9o=+XDO9;pZQm}t;r$A@~XeWFKoryjar>v8xyJv{sLI5D6{^6z?#|E0(FaXnV2
z^w@Vv5A8)gT2}OMzoSR5ls<`y`i!aTvrSK*6%&1`to6}!(x=%&A6I{Uj)&?KAEnQk
z1bvFr^;yo<r}6=P)Qk0L+M$p0Q~LBgt50l&KBN2eDSBO>rML8{XwXOXLwy=Q(Z{h<
zpJPY$iT+NX(?9A{IH1qskUo3=(non*pN1)Y>@VrleN~^x6@5n5^(l}tU_rrvJ?aK1
z>KRaPVt}o+0Y@DT2=_2x*w28ip$5!H8c?2KfPA_EhjI<De!zgPhYetd0YkeC$bZ&=
zxfcxBz0UyI*9|!MmI0Ox1{`TNAoLRhPJM1b-cbW)dkiT1(E#ZI0}c!sVE&f@o&OpT
zJY~S(tO2=K4VbxMK<T;xl2V4$DHvj^Zb*l&A%P}_3|JYG?P$ofyCJ*$4A~4Zq&CtJ
z;{-$6(+u&?HKc#5A(;;wGWD1tCA$pS*lkG73x*i(Go-D?5Z|{9Ir*+3>CJ{rwi>eY
zb3@j@GGu>`A^JZW()x=b-b04;oi-%(UqdF&8M0&6khKLvs&5#gyKcx~Nh3TJj5wiY
zM6#|C<Hkm8w=!bY!H9kCMrivP(Gp^Wd!!M)@kS)388Mb)#I~(QtP~kh^_UTwyNqbw
zZG`I!MjU_Hi1->K&KxkJ_+2BGKQN-Q)d=;^jcEGH2<ILndQKP-`->5y|1+ZKv=K{V
zMpT?LLUq=N#swoBZy0gxwh_^i#+;Tnrclk8MIB@I8XKc*WlV#EG4}4pbo&|;8Dh*x
zgfRv2#w?^7vnR(G#jVEF7a3#wm@!A6G$wqvF~fU}+4{0E^RF3Ge!v*{ca1spfic#t
z#&mTU!&k-(eQQkq31jB^joJM_V`NVob8yTU%X7vYxoAx2f-$F-jmf)h%&de7W%4FS
ztC?^>#{_d@6FMzT2zD@G(9MKgUlV46O(=~pK{DQix>OTPb4=*C--N&-69%@Mko}|y
z)6bZ&Yp)5LRVLKFW`gkn6WZ%d@c+Ps{*O(_>@Z=f%Y>3|P1yLsgqnU64F6|B+n*-*
zj+t<B(uDMjCQM#2Vdt_5>uV<LmoP<N-jr5VQ@nLd=`%7V)zXv+dsB9}nX=|%N_DU)
zx)G)vjx)tG)sz$2rX=5Q%J@U3Y~OCmYKbZPo-svxuPH56rntXmO7EMdB-WcU)?~`I
zk4;(m%#^AwQ#8LdrTGU_T>DKqe#(^iKTSFFk155IrYz5xQhCJ`^<`6<)=Y7hFr!D#
zj967OMzzf-GBRVy!i)-gGgRHoX!J3|G1!b_;bug~nQ=PBjKXX)7W2*6`;ZyR+s$Yw
zF~j~DGrFHQBeKejk^N>AylKY5J7(-@GDGoWGwMGx!?w$eqsPn$|G|vmpUv2M%8dCD
zGs^!lLw?eXLo;SrUooTWx*4pQF|=t$zMMI8D(39gHb>UToP!qTSlXL&#MPWoA9GFx
znUfc8&TOnXWhv%JXPa{%-yHLY%;|j8oZu332FuLJecqgzm&_^MZ;s@f=G47oj%kxQ
z9f!>c{LGwzFU`q5X3li4IlF!~XY)66YDdg5{>Pm5v*!5EnA1ORPUdxUrf!*2vT4qS
ztOYeH78q(<&}L|XuZ0CC?JP)lwP4cQf}KGYtcO{!Kh^^M6bo9jEbz{^ps&z^)JH9t
zc*24mWfrXMv7q`T3v~BeaJbF_&vz_1@xBGghb<Uyw_y917OZ|_!M<J#w12js<u?o5
zM=a<)V?p9s3&t*3ux;Lgl_d+RZdstYX+g8BC9W!#9M`fW-q4aW=9U!OS+eY6Nu{?X
z>Oqz?g<0YpYe`SCC9zqSjNWHSQK2PE+bpSg!V=XoOB(lB;`ov!$6mE0y3Uf*hb$?4
z-;%|TEZN&`iSn10G<;);eXk|mCoPHm&61HnEGal+$-;ysdoEa_IB!Y)k|nmcEIE4D
zl5klohLx?@s%6EzffeQER><2~amd9AYi}#M0<9p-ilG=Q@{_HY%d}$meOAa8T5)ij
z6_!s}apY+$Libp4s?v(QSFM<R!-}#)R!F~Z#et8kFmJb_^N1C}-&isDy%o79t(Y0K
zqVx|dB+pn;H(`b81uHr(TM@Wq#lWf+*>|m&ma%4+vNfBU*3=qUV{C3syR9|;F4pvW
zS(6!P%@o#@#8|VDWKB(`HHP<D)Apb>zT2!hxzn2Tr>&WM&YGQ-)~r`sv;Pfi^bc9n
z+GvgUN7nRxYE9}9YbLs_+3~$KYd=|2J!p;YAJ!cH+ZxXaYfemClYH5l@oUy>U$tg+
z!<v0EHfSr`(4uLByMYb8W;P_++A!v9!!|D)Rsw9O!UoM48=8}BaLu&gc%BXM5880%
z5gUqk+OS+|L*;Wes8`z1RBeOv8#eU3Z9{CM4WlhK6n$#L(ib*Vblaf%y$y{&+2A;6
z!?9r-qW`wx^nW%KPTR0JXT#oWHYl&!(6C{Hy^Jm0O14C5+A^YVOM#g!3pTdwakfR#
z%a-~8TmF9?jkYB`$(G>^TejxeGGAaz`6IT-@3iGmsV&ye+0yl*EmYewRBKEA+qTTT
zXUpyuTVy}A<=_{#Sa#cT<hU)NKiP8XS6lLiZJ8alrR+ajq^E5;FlUSTHCsAw+7i5B
z%b>I!xk`4-XxLGzZ-=Cr9d$N#m^$0h;b});fE@$(lr`DWc1$PQu`9!l%`JA+7T96@
zh#l>Z+u>hoM}N5;nJ?Ng^@<%OwRUVAw4>%dI}BUwXlt{>_X|5ter-qkaXTja?AZCM
z9qYf_v47MK{r~J}J#UBioE?3OcBJ04W8#h-JEZMdQ?#dA!ya9Idk&l0<7s2h2`77!
zJ?$Cyw`aSsXEn;6eTnvHXV}xS#UA$pdwPrQNqpR%v8U|WR&LKqg*{cT*rQo%PxC>0
zT;H?j_=onyx7l;1)1Kn5?OFcLp2|LZ)PJ?7>34gaNA2kuw<q?zJ)@WGDO$8=X~mw3
zJNBqbJJ6`;fTM;3$MhVCHg({%wF8At4lH^&u-D%KW#K?WlmqsO4s@qG5V^&Hkp~<o
zD0X0BhXZ?_azL@%f%*yuY+rHU=<5!IA9P^2!GWzGIxzo<1Ld6#$bap?q3;~9?sK4P
zzyW@DVCXLg^2Z&Rn{r_HB?n{|9XPn+faM(rjz~EYs_4imbw~2_9GNw7q|Dk8X(vYx
zcsOG2??`8;Bf(LQ3??{|o9@U=t|O%nI3ii>NZk%cOrLV3<5@=nD;ycv=ScSJj!eJh
z$gT!QHk%!({lpRDPDk30I^zGGBmF-*k~!eW)Q}@3e>t-8uOl^6ju>8Yr0uFBzAKKL
zTz4d0%85w@Cw8hkv99aHeiJA3t(|Cfbi&)ii9SCkQbV1Xh;(8{f)i_LPE_YQq5FUn
zhaYyrbB7Zrb~%y!tP|reII(@76RR~&?0d@z?FJ`Wnw@a}#EIU|ok%?D#8{6L+kSLn
z<rgQahMds+%ZcWHop7CU;`po+@mHNVbHj<^btjf3ovBoCMqS;RCS7NoO`PemawgW%
znNfFViu{~e3UQ_)(iznRXByL-am;n**j8tvA9m*SW6l)ra%OS2GkaffMtPqz4K>c#
zzvWE#yUs*5J2TSiOu^^QEPUn6o*riue{`n)7iVmToH=^hnecy|89wLC)>&uf7n~`-
z;f(ycGlwKyuvT!POU(szT^KTUA>Yb{IR_VZySpIk=fc4d7c3)PI1=wdXqpSBa$LyU
z>cVW13uTYFAic|l1G`-?f5C;$mt6?1abfU)3%T#QF!O;6rL8VVe(pluS1y?LxX^LJ
zg}`5282FzH*{5BY9&=&WITtoBx=_2|g7FO(+HbqyFX>9ZyepY%u1x8;Qey1NhNUYt
z4z3uwyVB<Cif@Q3CnH=*k9TD<)s>w&uB_kh%Kjo(^dEDj^+{K}ce~QJ*Ok<lU72{z
zl^q9MS*v%Y`U6*VTU|Na;fm*1uAKPRmE;qyjQ6{;{eP~k{^`oTF;}$Dxzcjc754>K
zdY4^EyzR=Egd5xB-B?j|qe{mOO=CBjE!}W+aO1d}8}YtwoC$WLIKqwPI5#R&-B8bQ
zqv?J(oQvG(+3rT{lWvSY<3`b5H<qg0sCdl{)dOxc*1O^Ofg8s@b|bpOjniFj6n^W*
z;ty`@?RP`@e{MAV>4yE78{Ly`L|$}b<cb>w%Wf>Jxv@vW9YuL}>Q&vb)p6&jkvrj*
z?hM<zv(?R=c^`MmgWZvjaOY5*JJzZ0bY;84{q77s<WBx}cjijm+5L<=vU}Y*Smlo8
zYwjF*)1A<IcTP3AllQSZv!A(B*5!`$x9%MH!5#B{cREkG6a1$;ga5dbJL%5Mj60=Q
z+>u;%r*6$1Qwa|`<U9ye^<Y5TgKQ%YrY$_!W$(eJs|U3{9vBCE&>rrAf1C&XDIR2I
zdoY#nLCHfNY&_~gO^FAF&v?-Gya&Ej9-Q3oLHe5>Oupm6&L$7m4|}lxGY|B;JZL@U
zf%gv{^!@BX>M0K<Mm*T@j|XdKJ*b}XK=+CVhp&6!x#q!%O%IagJQ-K<WV^N}tA?KJ
zv+zXQ-jfzrPuzVx=?(HEG2D}}SWmX4c(Rh^Nmaflnh$x>{HQ0cC7v8F^CbRxPtLsL
zN%4M9mg_vJe8&^@CQq6Ud*b|=Cp}+!5_`;((OyrAe)eSPH%}@?JW>6}lg6{2IL>%-
zY~GXT>z<sx<w@bDCyTOP>{anXS=);SLoe(tyy&*`BGT215pORFg1lG=^I}h|7m6uf
z)Mt5NoA1TZLNCG}^<wx5FSeF>F~7%)@|V1j-|xktIxno>@uKT}FF5SQP`elTUwSe3
zjTgIny^#Ici-W&;VL9T(kuzR|p7r9?1uydEy_j9{qU@Fz(wkl!koCq~#hXqoZ-NcI
z88r7M*Up<67jH_vy^##^rY_7I(^zjhlD!Gc@@C*ZZ?X%$ncn8jt|z?NeA=7ZJ>D3<
z<W2jl-uTyf(|^dD%=f*S`pBD-c5gP0cvJI@H-^35w4L<E_cw1&{^3pf8E+;hyxDod
zoAt}y>|gRm|CTqccfIkJ^`TGMhg2;eCJcPoVeZ44tq;{MKInS;a5&Hh&oCcO#Q2b$
z?8A7b58LnaVf8^D_HFY)`w1Ufp7z0gj}N_-J|w>C!`K@>Y&+z`N}~@|ANio!?nCnt
zA6&oj;rRDH#Gmxx%%Bg&fB3Ncw-1#QKB!;tq3N;@&PzV@tojgp*N0IVUy77{S<>{S
z!oU|*b6*;5eQ|X0<(QW*(Sg34#+SkvUlx;m*_-K$@_oKEJm`!4Heb4T`V#rHFC)+S
zQc&s3LbWe@-ta~7kT3O(zSw@`%h6AL2|wb?aJMg8zxQSSCtu13eUbmemqUO1Vm;wY
z*R(HO_GRdrFZrv!%x(CxTgDGrWj_vT`eA9{#}P9>LT&vx<?KhEmmjkMew5*dbc`Pd
zlKe2w^rJJ+kKhOW7<|N!+?{^Rl=@NnoF9^ve$-X_Vfuz29dG*)*yzVViyzsa`Z4{5
zAG^B!*gWn>?N5Ff5BkwQ?1%r~e)Rw6N9MF2Q*(ZlT=Qe&rXMvMei+L5)28H)uckjI
z_5DdV^Jmh=pPkPBtb6*iKfoV-{ArE$$2-ZNz6^g-^Zc18@Mp&({;WOjPj#t3y3hG@
z_(gv_tNl4q>re9A{*1rp&-NC7R@?m9_k};&-Tt&3_s9Jwe|mrQCvn)Hu~C1v{pZih
zd4H<r{L#GTPxDQGTsQnVE*(I;QUGT(0w~rGVA(W)N}B-Godam{48S=cfF2P*Y;*vl
zi2)R41hBLvfQo_uR38bT@$mp0O9MDo9zgVq0i1p%fWq1U77qrn_q_m=TLNfk3&8%1
z0J^^pAo6$sBYgoB{2IW*?*Z%?4M6d~0P4>NU^^GU(ZvA5Zw4@YCxETefy^rgQmzq*
zynY~uOarmD38c#@5Ih4J@((0m1Tq&D$nL~IWHSOexFrzFf<TTG2NL>tAg7)RB(FS>
z*@{5QUI|3HHjo1c12KOukj@VS32qByurrX{uLGI+E|Ai`KqP++r0(}XOh*Ih7!M@y
zd>{jt0?A$sWO^l#U3UW6lnSC&F$iOgAlmhU@HY*j-#Um)ry!<0f++D1Vk0z&ny4TQ
z6N6|=55jj#5GNl9BE2|>$sIxLd@6|bXM@;Z5rqCLLA1Ueg!jQ9`Wk{r{V<4$PlDLd
z8N}MrAgaF$Lbor7!vjHh{vO1Mzk)~}4`O^Oi0zkxSiKs=zLg-f?*!2z6^y%LFum%*
zB<ck-W)jRc>tI$KgQ@ZeM$<o-=FnhVqk=h}5KMe}FlTauDSjZB<%ff*+!2iWQ^7Pn
z8;o;BFg^Q%iG4ko(YJyrY6xbjIhcx1f>G@ZrtxSnj^71y?8jiD2ZA|06ine?!7Tn8
z%-*SBlrII-a5WhFm0-HpgNc+1VMHN>0`(9UbVJx<5`v<22=$I3*m{I;)Gvha&=7_r
zL)e-S!hBi?<+&lqKM=y9heNR55kl9l5O_9(p%+5P-xtDMO$fW+3PH9ZgoDi?Sbh@1
zk<UX2JsQHPo)GeW3}N<{5Xy!^kp3%#1OJ9#J{3aeYzV<uLm0dfLhgD9Gm@d)^Pxpj
zJ(N1#P)toi>97hV&@q$&_fWF^LYWQ;WmjY<oAII4riEgh8%q1uQ2ZYbrT?)|GIxbC
zwL6rO7ed*1Ih2~3Pz>J+rR`oMkZ*G+CtE{F|2&k*dl4}^dqP=15z78wLeak$8Pa+>
z6z_jS={pxn>b(ewiG@&h+z4gub|}@70$l~cVKsrLuHb~RAlXVV?jX2lr_4P|VeZ-L
zq8%w{i5Ix133_t`iCYC@MfdCw9}}!RDX7{l(0oDA{IbBcMsWOqApTv!nGXcTt%Bta
zLFHEh^&Uaf34!x3f}Z~gVowW3#{@;^1WOkM6$=8@8-m8$0>^te)-idAzBiUVtpkPk
zzGoLLVeh>*P5EA_)^P8-w!gP!-4PHO4<o5ikOK?%!=55gd<^QJ1l!$kbT5Rz48yO%
z)&nqK59J?#eCs{8oer@63c9`pPQXw<<o^%m{)F9QAbSoDUIfbpII;|(x8amT7<uwx
z%&LY_rW1y=aTo_I!!UOUqth*nVBatXgTu&;2xBHLjMCIFBy+;3yFU!mqA)tPhY|Q>
z7z59Qk-ayJ>8dbxy%xsin_<+}hhh9d80{a2;olKPe^(fp--a>uLl`CfVQicVqvp>r
z49CJ~n+(JEVi+f{gps}+#^hQUJ0-$dmkVdVYB>5j;j|is<82vEpM5x~ZsAP$gtH?!
zoVD<9s^h}ZO%3O8b~v8*hjZegaFVx&GhPzT_GiLbeLkFhRpDsA7Ea5X;keg_)7unI
z;>Y2PeHPBPu5eb4g;VuIIGX+8G@lB`_0MpQ{}WF9WH@JL!YRHI&hqteD%ZkMmx!QA
zE&^xO2zs<5h&75})FOf+`v{g?BdG9+Ks7jm#_$Ln<03eg5<zr!1gG;OD10b_#YZF9
zTM~itGZ8dAAAx;U1l{{1h<r1Gk#`~}Xo_Ira0Giki$Jj}g8E|-*!~c~(Vrs-KNZ37
zNCaE|iD3S01m!ak$X|)z(Dewc*COcJymye~A{kPNBwss{Im1YHTSOvjAIU-2NGyFK
zIT92}Xm}*2Vk5~*iDWh_lCu0rq#ugpz@w3vmqgN87D@2)kqo{RN$&ngX6hm-eJ2vh
zrby}zM`HR}BpqKy5_l|<f!;{6e~x7Ow@7x4M6!7%lG?M87|%q~J|Bty^+@_}MUuH0
z$&_pqB`Q&DXhl(D7=@ul6m51<__{`M(mRUupeQE8qSzT5#d>lS`?I3Z&yS+DFbeNS
zqv(4giqx_wCiX<J<E1FpUX7x<E(+auqB#716rP8pIME(O@|RJJe-p*_-Y8a2MzQa=
zD6~hSXgL#w``IXZFGP_zAH~>G6x(h^v2r(xD%of>RibIuipJG2n&alt#M?!4#wD6!
z?`W0-qp1vwMm;u~rsQaxv!dy_FPhlGXhye1Q}jeMOHW5ru_qeUm!fHWH5$jdXpS9<
zCi?woPJa|lVS6--N21yLO*G2A(KMWl#{Rcxy8nnK@=P=%6VVi0h-Tq(G<%k!QM?sR
z{oQD6Wn(z197DKP48sO7Y&DNz-ZqAEml))|V>lETgLPO8T`@6`9K%p%4EguPF!x{#
zySK$4`$P-}pN_$DPYg#YV+egUhEs3EkasAC*~S>kK8iuQJ%$5EVle+EhR*L}2tFCZ
z;9v~7f5b5JcMPQyF-TsBq3&`Frb{t&ti}*{H--V3ShAI4nbwSDmq9F>X0g=T#$xOe
zOS@Mr{(-Ud6H8`HEK^Cblw`)TkrzwNgRvNHi=}O6EWS_2a`L%Y(ko+`td3>p8?mgv
z9n1d4SoA-NrS;QTypP1v*Bwjh_pwa;6w8jmSk{JPss1|_-HBKZPsieUIhGUGVo6?&
zWqc!+?J{w!D#fu+GY)NoI9kl&aJP-4*Ex<vuQ<j6;@CzUE75UOCB>nc8Ao$o9Ig+>
zar}`u;&;YzrZkS?=i*p?F^<aWIMm;Wqv`E9oEzilX^A8D(>O-Ih@+@Gj-}&qRQwc&
z>R=p=!*MwN9mlc%;)tG(<Mdn{h1cR(ycx&djX0EL;%QKd$6hm@ZvA*7&EgrciKoCh
zo(0c%_5{SENIdn?@z^HCb2KBK@Vt123*y=ONIdh8$5UP!kNk7-9C|Sx>*{#AYVSQF
zZ^twAUOf3N@yxZwv-^v9WV_=zcsw4<pW-?4YdoRD@thisC-1*_X3xh{HW!cdwRjHP
zjK_Q<o=)imf|U{&)JPy#KY<z31WIiZkaSL<&NBhifCM^30)f#93?wFyosq!wmIQVc
zB(PbWK<(oR7?&o{UY>yeiwX3<l0ar{0#gSQD0we|jSmy3X-mNHiv-%fPQdqg0w?<t
zNdGl~$=?&$Ihw%wcmn&+C!jx<K<i=x-ZvBIyOThwbRrXqiR{owWKA!TYSTn?Z4x=`
zl!&KiA}9P4NfwEWM<ud7F_G2uMD}e-M7to7mf}R*A5WzBsYDXX6B(;WWZNr=th}B`
z)xktG-%F(V!$e%$5;@+PNc`7{ocS)1;=V+d2NJ3LJrVWMM4HAEaXz0&&!t3S7ZVv>
zNu=mbB1=+9R468)s*yyaUJ{O`NgT6IBHAg5(;i6_`X{j%n#A6yB$N}AXh=`OeoGSF
z4<r#;oW#hEBnqBNV&T~&_EaRH_(~G>uP0%9Fo~lLNrZox#PBCcZ0$^9{%8{A-z6d6
zm&BogB&>f=qU*0D7*AqoDvA6{Nz7eMV)sfCvUid=D3y$*Vlqe6lL^&J=9Eb?dDh9y
zIwn)*k&Lu|G6(J@o0&%?)0vP=aC$O>xyj@{kj%`($&~I$M)Ij->Yh!;v?7^~eaQsA
zp3J~o$z(SqGu@obu1}KL{5+Z3qsbV5mrVPQ$@mW>(?66<=3mK7{hLh5R5Ba0$<$m;
z#&9K>w)JFurBXPlkV3k83X{4i>@-PX-71Csjw$GSq|oY@f_G>NeUT}oCZsTtmcowQ
z6xOz;Q2lTUx;s)hyekFIXHz)wLJG<IQW&pEVf$MttiGGVzUCCPKS`nG^Ay~VrqJ7y
zLgJ4pjQx_rwxJYOPNz`yZwi`IDKyWf;CeNM<2O=>Ur*tTWGcl9sVu9dQmLDYx=AWc
zR;f5Urqbh{N~~WhqampjMW(V8pGrkqDyq4uG;U4B@!?dCJ(f!Ju2fF%PNndLR2E-O
zWp7O?%5SC8@NO#h&8c*^rV{yiDkEQ|QqYsi!iiM&{E~{|P%8DOQ?dOwm80iU37<`6
zcp;UoH&U6uol3c68uAKh98yceS~ra@<20~JW5^+meD^fweACz+l7?(#8VBRkuuMzi
zNKP7|ThlmIlt$iTY0N&EM%nH(q+dwmz{_cv*QC*TAdTR6(-{09joj8WW;)U+{VEN~
zo;2!Cq+$9?8Xf;jBk*(@17m4qpG#x<Vj8;^(%4*1qxN<h#**o@%ctY7mQKG;I+@1l
zOj)K=;*idUTRJtq=@^Ej(-x7AZ+to@Q`1S$NoVr@baob{v%Wo@{ZFQ&zdN1Qz3F(r
zoKD|s>7*V=XQDox9Ur8#_HjDZ9qH(PmCoUB)A2l!&WZkXlK+>^_@C))A4_L-GM#-F
z)6rf?r)4=E_uJ|8N@S2IpTU@F2HSKpSTV|=$}$5@hYXtCGH~_H;COHb@evuEiOZlk
zHG}2s3@Y!>K)on~rtKLxKbb+#Ga1D0&0w@DgQC|mSb8&qiuw#xKggi*;|v@-GC0<i
zLG-s7oc<w$!u|{vPi3(8&kU5uGH960!2V(e-B&V*T+U!*ErSAyOcvxa*`u0?qE06D
zMw!@JW^&X%lW@08hJ7;G8l1^|cqZj>naHPRawt0!>-#h5dMFdNXEIchN&YjL%srpU
z?y5{=U(4j+o0(YFXL6(|lhBVdIrUj4d0m;z9?PWchfJjVGdXZ76Z1ba>HH^?;K@t|
zXEMpXlF7{VOiI@>k(9`yPA&^m)hs%+vj{ZGV!$GcZ2K&xU9;Hblf`CG7PaA77{_JN
zo|1)sb{75lS!6zx#nhu&l$2z#QI<u`^H~^HWzn`j3*R@hIQdQ%=}lQo9?oLtXIZR&
znZ^ENS?K?eMeEO5c%RCmZzPM<f3lc3o5hZqEY{|;sJ@<s?phXyH?#1R%jSeiHp$xA
zj2mXN-6ES+yKMHkW~1$sO-oQV?%~<=#%7b4lFe9FHrw*ESt-n>>d|a8OR{M$%f|Kj
zY>vN_P5l0B&eUa7{7yE@?`KnaI2-lPvT6D<8|P!$^z>#E`*Sv<zhzT2lFibYY%0!X
zqdJpK<9s%b*RwfxE1T%eY);GOP^gl_qE-%j4RcVo$f3b52Yc5Xy1jFV49a07EQf;F
z92Syu*promVtx+wg*n(hn#0j2atJTWVR%mtTVKjy{?#1H>vE8PCx=7t=U{y}hpzT}
z&EuCj41JSBes2zQCv({STMn`#IUGEbgXP&Aj$FtgbUueuOF87-%3=0y4rQ{rNUP*>
zKr0t>!(2Mea|yP~WzZ#;T<=_F0&^)1%SAFam%8L!OtW(7xG$H$!dwQn<&ynGF4Irv
zvTIK+o0YlLzM6}1T`uj1a`AsZm;R4($!yPM>PRjn-{i9KeJ(X8b20oam$pB0@ja8v
z$%$OjFXS?LIhUPFxva0|vj1)_`m$SS{l5mz{jU!}0mCM<lTMOOl4;3gCP|x2CXboS
zOlC6s-tYJO{eF>2I?3#8otf-RGHqruNhV1$NhUMNBr};wCX*zSj{o5O`F)<xlO$m2
zg#x-R7O*y3z;Lbr^ECpdmk6jT7Lb0cfW|un6qX6-EEiBF5-_9?VAKnkvI?m52uKSH
zXs8fS@Th=}#|5mZ6L7R%fc{wlle-0MY!;CEnt+{e3drvk(B3Ox^~VARKNFxG7BDd)
zpyCGsDW?VOm=cipmw*H32w9aRWFS?D`eGrc7YK>x3Q4|3Nc|Eai;IP{A*A#UAxG{O
zqAV9OE))_~2uacl*=`lG$RngRBxGfUki%6%<c|wEwN*&CUP$7zLbmM|lG`k#rB%p^
zH-+@SBShLOWUOCE@G~LvhK1CP2wC`pko`XkVM@rM86o0xM2wy%!k;Q)?!_XuED({C
zE2241M9C5neK(5!UMAvXsR-}gA`;3)Y!-^hR*2ZA6S3SXqSq~ALrBDl2SvE6M9g_y
z#HOtxvg$?bZ4gnsTSU)GBG$Kx7-<*bd`HCW`yy)lMa=(9#GWrjEE^GVa8yM3&mxZh
zCc-`=VkSXM&3R%nQ^ho8h$&hiruzyp>+-}LD->hBQOucJ#8j7x$+%n0uKUC+6^iMS
zi&?7^Gi(uKc8i$~im7@~OnQ}=##%9jTg7xfC8n%F%utgU<4a<uUKLZ>E+*|AF%9pF
zDd-o|F(78mmtu~7BSt?eW^!E2#^1!G&WPEWAR+%e3GEk1Se+qZFiV2=3JDWeOQ<N6
zkaDAh9k)oxE0u6yjf7SANf;1FP|GEp)=G$5BqX~f)CVOjeo#W&BN9q$B^=ozLHU$~
z@n<ANn<ON?Bw_oj5*D>fXzh})@_h-1KawCHkZ@{9LiigAiK7y>jZ4V=O+w3`5>_Ng
z=}(j*y+F#?MN)!UQs!MDrS57e3k#*}UnYfHq#U|kig=Bb(REV%0x5IlQnqNN<XEIM
zyQGu^rS!$62p^Gh@-ZpiEm9JmlCt?3DcMa@_U)6h{8cHvZ%EnDCFMkq6!%9`<_t*L
zG$bYK8!3Cgmr^_~rDsyg`ah+NoGrtdC}TE7M(ss1=4Z*+vrxvet7RO#PDc4M8OKXx
z*l(9HbC-;obuuyqGMZ#EinKDi%`(=xWE=~~u*PMasgzOun2d}qGInj3vGf@kUC+x{
zyHCb&iwyG{GN#{_QPm?O{UaHTpUNm4lF@lwM%ni=hJKP^oRl$jMn>h?a?%pzG^EHW
zxJXXNrE=CRlyh{k9Q}22CU20lu|!Vl?Q(YBB`1HKoc0ZJR?FlJYUF6maweQ|Dgts+
z;&OIW%E^07&Vm2PS+!lxz)m^p=jEJ!QBJ%?PVyUa>fe^LxJORgAvvX=$~p3d9OZF2
z<0s`rf0C0lDQEi`Ig8F#(E1MrD^nC4PFEnmRKcms6@(WnNW4zLwi^`WmMCahsbIxj
z3i|I=Al;x~OsXKLQ83S}pw6jaVL-wDm;x#l9I8<u{*QvuCl&a2DwzAcf-Ns9$Z1i~
zd_Y0T+Y0*LQy@H~;N%en-Y*m+99OXUq=M|96zuy|!SXW-dgmzF@DC*?&R612S2E{P
zC7Ui+lC@aL-U21XHz?`3S;_j9N=8;Iao($B_5mfeQYG^>O7@tPEORP3=vPu6Q*!)a
zCH5L6Gn<vvJgFper;?^!N{U`o(*25(bqACj>r`TWPsy1Nl~f;5lJSL-U0*9%dQwT(
zDJ5%vRWkgC67w7t)ALkRov$K2T}9)36@{0p=)6irS%He7A{EA)RZQKcqH?v0w0l)F
zJfNaLs-i=!VvR|~QHKh>U&Ulp#m0wKq}Hg|xmiX2lPcQ(r(*Rk6@z<KXkSq=@w$qN
zP8BKdso3$Mio7E#4jfgn>T4AP->FcaQgM1hMf?vH$#c}y&r`Gbd^K(VQd2r#&5;~6
z%B$3jU#lisq$cTRHQR4fvuL%N*0pL@KA`5XM2%dn=9E!Q*r6uTuV!0RP42^LTK=tO
z#b!1A+tf(^r)KOqHNm}V=Dnh(?sYW_JJswz`1fi2p_)UVs1YAkGkQ#o|2s8vPpR25
zp(f`KHO*&fD4D0BFIj`|Um8wcqQRS^A>k?wo3GW7U8G^(at+IG)6jdTh7D^qoLH~H
zEzvMXtznZ<LzY9sUY~~IsD_@68rJ_?!^jgFoZB?a?$A*CoQC;(HSF21VcF{%4!)(K
z{Gf*8eH!eaXqfq2L(MS_ncrz>`cXsCgof^E4eQR*a_n3!)?_Vb(zH}xq9r3o%dSOQ
zmR_r+>v}C~munebp~ZZsmg#%6RIS&NF45Ac(o$&D(rMRH=F>71(PG@FWvW_B<r7-c
zwrOeDp{3wCEgdgtS+ifu(Kapmx3o;Yt7T)KmefzQ?EG9y{xL1>C$y~oQOn>jTC~$z
zCT6u%oU0=xS;vkv9eJ1NIB=PcRf}{C<m*shujBMhI^rvIB;To{{vI8R*Xw8#>nK&}
zIAYMDwCfo6>WD^kByH5Oy;{ejCv>#_SI5d7Iu1ALkiVeg)XO@;Z8{R)(y{Gb9l3ov
zS`O=2@wtxvuXIRH=olN*5&T8RylEYEvpN=@t7rc|^^m6LP^KR7WqL-h)Z@?BGxvHu
zTW->mvqDevDm^9l=;^y(k5H`Vq*9O9peMnuXR}vNc0|v<hx9D3*3-L5&xZf%Iq|d}
zccY#;FX-9yvYxCqJ$pO!6u+yd=L0?K59=8j)Z_e0&+NB)YRB}<|3%N9-}Nk;)pKyJ
zf%1PEIDVl4d!~VzYy&k{8pzBy(6rP*(M<-rZ#A%Pm4Rbr2CVlRI3qGptu&BfFtE#J
zV5!$YSJ=SXhYSoqYQVh7z;vB~s;3R4HyUW%W1#S51D&rKDC;mV)NR1{fq|)y4O9*q
zNc+k_!?y+s#td|vHn8S*14sWdpr31GGRers3yq{^8rhj`B>zey?bjGtz0}BHu@UX9
zMkeksQc-3k<$fbOL`L$IMh@tWtg;yy@EB2tjhwD95`WZ4@+Kqobw(CHZKUm4Bc*$c
z9BDS9e9g%Cn?|DDMv^`-vi)Ntiw2Ff4jWndt&zh&7?Gbga%##*_%9=gb4_eZGLd_s
ziI$5^tjIRepKC&Tjft@(CW6H#=G|(d?hX?R%S`Mq{~H*IOdL{}5bI5hT21&pCgz4s
zY^gAj^QejD$4!*fndqxGA$-=v$=#;EbIm3aUNf=zO%vJOCieB3SpKnz-p@>I7&dWY
z#Dx0?6LU_R*feD#>n{^~&oNV+WTq$8%=(MXj4UwY%r!HcXQp<Enfb+L_F!h&9cB*R
zZKk~3%yFR^yTZ(j&P<KfOs2<7Q^-tFg_-UuGwU8Vb8M>_YrUB>4Q8r$o5^T4v#Zt2
z(l^a?y<=u=ubJU~Gv?3COn+&nYQ#+X4`v#FHd8odrgO$j**O-5&a+@lwJ?=op>lzR
zv|I}fc@_$mSm?OX!Wt|bEw!M(+rs317B&hkq$(`z)LF>4T4;A$SRJx3_@D)Cm4%5~
z3l&=}q|{s3(O@BOw}k^QSy<I-VW8cD`W*|W-?tF&w~+jqh59coEFQ7YHfo{tXA4Ju
zv!I-@FrHu~dY+Y}R4dyvtSnk!rS%FcEAy-zF0>-Q(fW5`$V#}>O5)vCw%unXS7@b0
zZe@keO25U5)NN%fXeIcdm3dWG>T0bl+-hb2Q&woOa;V9Q_$4c&uUhf9TbcWgl`ZdE
z$?3P!JYc2dODlcfSP_m|IXP~{`<s=787rF;Y-FEjW8VcfmS@=L&9brK3L7V`w&5<c
zG3Q1bn{Kg@Rcd4J8XLv;+2|42STDCRqP5|)*qC+Ms14ef|DcUMkJwmNYvbS+8|6>g
zIR1<cdy|cseKu-dwUOCwqp8bA(fc;KKeDlIz{as58`f`ZocZ2H^|+0U-)!vq)5g*S
zJ6(x()?Q#|_#!*zEIZQ+?NnWDC%w>4<1#yix7g{t-A>sWJ45U27zK8wWOgdGcG4_%
z8eDb?f_6IMcGf&%=jda0^jqvqZnv}X89S*>c6RQwlmDun_BZUT?y@u3V@LauorzEF
zR1Dck`NqzU@9pG`+c_|4XVsr}2F`Y%PIPcO#X<Zc2gz9u>K8g#e6@qN>l~CWb8w`@
zf%0|-<99iTu5*wiaIjtGV3F2AtJ%RymxIFr2lBXsQ<V<Fk2y%(;$Yi$2f5EUXnEej
zihU0HTO3H=a4`0^gJ6$?c^^5b`_#e0AqV@9{|$@3cW~$@2jWQwqh}oW&vr65(aDw+
zCpi~6X};7+$wDW6i=7Csb8_+qC*Be#3Aa1he3z5#bx!teaI#$Hq*vo)gW1UmrxSO;
z$(*>8O_ffv9&@tyKTe9bJL%c!Wc~9_MqYH{Y;iJsz)9`fPUiPG*>lLrvQM2H{K853
zaVN)5I<f!cWad{VHD{b;p6#OPA1;bgTy&?qSa+$5W0$+IE_QLIz(w^9E;347>{{t!
z>0K_m?sc(tgNtFQ3$w<>w8=%4(?xo~MPtlGVWo@C8W&~%aWV9y3*$}~Q@dPLzUU&Y
z#YMvb7X@#-=y=b?nnNy*9&w@n!o}p*E;gQYk@}O1oxi%sKjWf(j+@p0a5H$m8*RFq
ziTQ3SE_ai%*v*atH+eU>IdHR^RV&>LtahWm*Ujk%+{C4Bk~MDXO>P!D-L(1Ll*Zf~
zdDxAz#?AO<H_<2EB<*yweV3a>FS==c#m&kCZVq?4k-z8W)Q4`uN8BWS;bz;{ZgNk$
zX*uO)#jkGq|8OIn<6&%`hv4}h=B0b6o9|)a<sSB5<$(eZhl)IiZ}u>Hn+N}D4|DJJ
zu;l>{IZ_YJY7ZqQ4}A^~LcfQTQ4ijSJtWk4*u2?8_LCm={m;YlT^@S(df4!ahZC=R
zaCdr`^PY!IA9~0-;$iPm55-@5==sjW`coc8COkO*@GyIpm)dz==AZ9n&%eAZoA2dd
zj+gSQyd1yQi@nIp%yKU^w|U82?WJk0m!b!}bW6OfQ+qjP^kQ{*IpgzE9rcp&u$Nu`
z_Of)dm#%GI*8b1S@N-_wd%aBW_fqw`m-J3AjR(CHe(0t16E9^)y$l`mV*Jj_)Q?^&
zC%mNn;icg$9|iM#bR_#&^DiGqFY%$z@iDo`$Hr@Yq!#(ux!gzoZ9dxX^s#!akHPgm
zv=Sc^DjyX_A1MwWJA6L!qCO66^s(ySJ_erfq2A`>^bQ~K=X@mZ^-;gy$Kuz0w7un{
z^q`L;eLj?*_!$4(NA#GFr0;xe|Ix>y2_LP~K31OP=kU3H<jH<crTGb8;wLf3&$dN=
za<BE%a=o7w%l-7P@FTs`&)7YFg6sXvllZAq`B`Z6v)}%=DB|;TDB?%F(a&hLAO916
z=5F(|Wrv@f=lnFk;HPB2pT0If!ngdKeAkb+&riZ9el~yZC;OP6eJA`Z|IttHFMc*m
z`#CY|$9-;qImrPwr3J{kB*5Ow0u(O_(32lv{q+GxZVKRB5ny&zfZBTk%wHd1k2t_G
zRe*zr0Oj@o$GrjUkpMFf1*oYGkoiP_rvC;g+7Y0;F~GVP0vvlefVC~anT`O}?*_=|
z3$W{OfTf=Y==v(a+7khW#{!st2{8S8fU4O5>E{M%{AZBDv>=_CLCP)*GIV7SV}6jS
zr9moh3X--WNW-ci1@{E$xIf4magd|RAbLZPNn4PO-XN)wAUhull3yL9eN&Lt{|z$u
zbP#Q0kcmA(Dqaqf(iUV#N07XCgB<uE$g0CZ1_pzuzY22t+aU3=Aj!W3ssBC5;@Kc=
zb3>H=GsKY#Lnt#tjAw_4UKt`OKg9N>Ar{>fqV?7gD_4a$Toyupe~43}5MgDAL_>&e
zwh+1A5G~;lD;^5b|7Zy5rVwLwA%ahbnAaGhZcm7XFNfIwS_nEq9O@1s{vgEY$07WK
zA?AJ+V#~K7a>hb5pAJ#-dx*ZjLI~%EIhhp3dtsP_%rKj?!(?9>X5TeomM;y{TO4M?
ztzk~w5yo8>X3qU#Hi^PyDZ}j5hbgv&>G6bF9}Y885ytswnAyj})YgTW|8$r=&xTpH
zC(Oa-Fy*g>IsRrCdv}<b-Y_*Ehshia(=;5W=-V*eKZIF#I?S=DFxJ1qoH-{#by9?k
z3nT2hIKtBG2wk}m)?O1~cu53vafE3iRNWCFy(~gwd4xhygib|-GJS+0YXqYw!c-_i
zWkrOvM<X;m9-*KvLPvdsHP1#kx;uitIl^RXgpF@TNbQcWvo}Ki#}V2;i?Dh)!r({*
z?GF(qevVKv6(QxX2s_S+l9v?aKx&j#7e^Ub5JjCE<#b+@_>w5e#Zl^sviOcDZFfg0
zEst_U7)7awGOmjfwMI$uMA;sSvZx|TYgLq$k4HJYHHy4G%BhAZ;oVUZo1<)NjgtFj
zl$Lj*tmuu>-ycQ#S(LFaqXb8y%=;lq-Oo`LPDR;2^S2~+PK-n6#So{)7|n>`Ul3z%
zZj3E?F>;o~XudH<2{HOgV+ik#aq_+xUSW&`MU2h57}?es``j^>hhp?T7-K_Kj1#pn
z+*@PJsgJR#Ax75j7<*reQQR7%r#;5{cVdjZAH&%nV|E}$?Uym;kHpwB8e`edF%JF~
zqkJaD@q{?`^Ww~05T_<1PUeC*O;^Mz%8S!o7-!v$agN;*$66Za%$hjW_r=K&#@Qv0
zvs4$S%Mxd;JI-)0j`_hj(~rcds*RJrHBRGGaS9vabT-8)dnwM)t8t9&ai+TBRK6c4
ftv^n~K%9av<8*uzXU%AwqvLV(zr~sSGtU13ol&hF

literal 0
HcmV?d00001

diff --git a/examples/ode/DuffingEquation/Duffing_fitRandomSample.mat b/examples/ode/DuffingEquation/Duffing_fitRandomSample.mat
new file mode 100644
index 0000000000000000000000000000000000000000..80959f1b86d83cf989ee7360939aee6596b6b44a
GIT binary patch
literal 120184
zcmbTe1$R_g7p;v1cXtTx?vi?N2=49>+&zInyizXlgpdR$!JXjl?$SupINeA?<8bFY
z?*0D2M~^k?q|QFu&fas*wf3s+-lku-Hf=o{*Qw{(y-mN`<0nn^@$5Bq^xW|?W>0J3
zIdjIGNegRvwwvuUdalnn&l%HOc=jDV*R##M37!q=d)9B*qG6L3^&5FMsMnx=hW{V`
zGJ1E<tH<75&zK>rKC{cR{l99m{J+2RSIv+iv#vAhzlHzr{$Z8>|NcdkOldZ5(X8gr
zdc1G`>wV`Isd3RQs%*L1V#d(iEz9<6)Uq$5TUM}{S{8V}s%8GOM_cYG`lRLMSD9LE
z4Jy*AYoF?^UJWv|x*OH6)%fgFTm3ySsMX;Pj#hmxENkWcPim_!>-M(#_U&}5-%oG1
z`Ze)ot7XC8S{*8x)vFTuye@Al?iD?$f>-AmwY>HmYT~tLNE@$`t-E<`oiWg>=gTo(
zCpS#@dcN1st8I9&SF_tDuY=v3UI(5=dzD?8=yfJ!mDgHxnpet>ZC**4(!I=ck9c*-
zdB*GXvCCeslW%(^rabaGapHwn*F5jNiY@%=l_PUTgKKCOL+pthh5~K!8s1$fXsAB5
zm|;t)(uM{1Jq@!rRW?MqY8bAC)-{x~G%`$0X>QnX+F-brp}panx3?i_We-D*y!{M5
zroo1GMMfHSZ5?OWGGel!V(FQN46o)Hnw?%`7;!JaaOiHZq3NGthC}a7hMqZWh6mN0
z2A^ILhWksS4J~%Z8Rq}D%wY0LHcYavG~|7<#xT82sv&UgMuS(8t%g|h4udJ%9z#~^
zK7&W`Lk7RJqlV!fPa0OdIAbulFBqz{yJG0^{kkD7{kEZg;C;jO9*+#hihmglzn>dk
zKYncpI``J_ao@j&M%zCd8gBh=c(U`iA^uTDtS>Wj=u;MIWy#LjVmWcu&dtJ(d6_>Z
zKf!?oiCS5hm8Xlc@?CK(rApDuy9_UV%h7dXd8Rz6h@o^9_6)4X#i$z0y;+OI5_Rz!
zS)Wd88?xzrV|)zF7-4IH`9Ul0*M|<qHtc-Rj<U@<G9#ihaqqfd>DiseTY3^&un&{x
z_v7ll0i?AZ%%7=48CQ4&WtWcP=c_Ti8R)~!6BAh5Xfocbrn0v13{pd9(dzRYI!>C;
zmU{~s+hY+OkN8u*WB|+i29nnn#JH2exPOOWZ5BqmSw>RVhqL{$iC!fv%;{w%x6wx4
z19m2TaFDmEi+_f=`D%-x+~G)izmH-``52;m#bR0#N5`~y4%|%OeuhLMsxRkquOx!z
zClec=LWTn?Sog<Dmi$=7tP*RO-e@i3y04@4xb?hSn93MS8o>!0XtRDJ<{g{pdSElN
zk8R=2$*rt8wGGFK?L;2l!HPXQS-Wu;uB6@cu<zlV?_NHSPUmpPeH5;?pFgu4p!lN$
ztlD*u`KCko4?4`cibr_%>Il^~9cB2mW6ZC1oUsp&Q^b7&|JEn5zB)-`=P4%DKTWBN
zr|}wphGSpPkQ{!NGX>94KlU6Ki=QVl@;rXIE-=sk0*hZ=Ags?t%sVd<Sm+XCr(UA^
z;Y(b|dzsFIE)%`%GF$ImCaTC43|+3U-uDXER$d|f^c9A`&}XKrTq$;y6;-cNr@>X`
zH@(VYSzBG7)psR|U!_6jtCW0sg_~!tFm?46{#>NGx?dr@#1&3Ix=hxUm+3O<GRuo!
zCinSEEcd&_$V!(Oa^@lllP*#_%SFmAyMSMv3-s83p7kBh6MOa?HM*W-`l++b;Vj<U
z&+xm#8P?cO)APSm<Q#H}7kf|gt;k9GOg}-UW5+37_&D1}ALC})Q4&5Jp-__}^qGH{
zDccV*^Y4Sqt8@_CpaYyY?We<@edPWtokn@mxzbSYX5b$7`tGJ?+%87#+R3ylI~ezB
zJ3}&VXLQkR*sE{l-xga~)nzj~25q8=&qlmvZs5Le8dZW)scl-1hhrTFBGxiFW({TH
zSMwra6@M&SNuI<Nn3kn5HX)g`xFlxBEayyQB8Oeem|#!fqB)){#yCm^$Kts(h6;<K
zskb1C!E++nFe8E{Q{7~p<f8g`CmY5(NE~e^$0!>=M_36RVPWG4GeILw<QpB%sIf)@
z$A{rRIg}AILZ~+{n4gP+xD*`77Ha_gYcIvw&Yw!d7Ey75FG-OLNZm1y{<r3^^~WqO
zR+`Cyp3|}UPo?{&$>jcXB6o^U;AkHoZaBtL?(%3h78-?h$Oula8pgB_Lol`*OoiBi
zbbi+#k8b@Koz{m*d3#fNUQd!9cIR>TZv1<w3lAE5le)PRqiS~~+vfJdfOd2~*oJpq
zTeJ2L19RqhF(gkb#-_C(vU_tr{M(e^<xS|;y)k_<G$MX?1FFxdk4M9L)cstCO^0d|
zVy(rl;Wg>hum&yjR43|nRR&$GLio<gR86TwQ&&ayg;rqKlJeA8>`93w<p>Qa%M3>u
z?k+FQscofbdafk3UX);MjuNb|TbxEiiqY9rlxO>kkoQwzj@B<s#yN#Jzo#ITG8ZI!
zp91)<&d-9M`N%XRA0_tX<$z~i{x;`f-Phc_otm4&f90a|=v-v{Gbb}9<izKF4*p!4
zgQo>^FfBDZz8$lZ?RhqeS+lXWaW-~6$x6HEtQu=pE@#imh0|GRW6MI#0a-9r%);PL
z9>kyXz<Z4cKA|4Gndrg2ULMr<^5AuC53*JCAh@&#!%KSL)~Bcb&Qiw%gYKVExs@t^
zCd7m0t37ykM$dfkpsHsUR`gcg#w>I`l7(r%vv8tKR=S60CF8ZMJSd-y$8)oh?R+-6
zSIy4mu<TTSm7P7kb1?Wo4zkzI$<gGT1QpLkhsa!HE1a7XF}d+8mxl^zc}Q=O7q5$X
zS?iOJj~VjgnVg@h?F!)WssP&}3sSpXA!dClgl}45TKg2?NQI(&c~X=|>xwaFR&h3Z
zl^{G%NisYxNxnU$*z7LN{h4KO^eM}+rsbI9=}BDf^3?fJp4x9K;Cxz<-VZA=>3(Id
z-LHc2QB?w-S7X=v>Qww)gCqHB5ni!2vs%<)Ucb87X4PYxt3LO4G{ECtLn?SQrcS*k
zlpooY56))9ooG(ppDpOzv=z+t;?;HoZT^E6E!%J*s4ef#w<Eqp2aZnc$nf+|jLGZG
z>2X~MInWhr@$TH1*Mt5ydXlMWZ!X98VP}SZte)7PsH+3;GYq2hhQWL+HI!MlVQkMZ
zf=%;AGT_Z9632~U!Gp2f9_+)mo8$T1ZzA#6Ct>eDh2yuTQg`Td4nLg1B%fK7elwf1
zbLKMk$2{(YE}%?)U&<x;ajD8;%5L}PJ4;C$AAqxVAgewG@?c*OO@f1kV<D6)7|QZH
zp_E7o!#L5%gSz1q{Txn}gC??snpxk~LXLt~O5e6}JJCj?v39CdbFli2gSA_nRG8}`
zcT+dRzPib_F9MInk#ueq#o6ysEKQGQ#KIVcHI8M*`&g_S;z%7I&%tsD9JrOha{Dp{
zv`^&TmqaRTSWfv7NnFgEOxc6UWSg48(&8&vbZiChr>^8y;Z;=Jw~DhPS93Je8Zxa~
z!_szZsrz^>+5Oj%vDkX@ZC+3H4ykm!lgh9uX^j4!MmN(23K!YP=H(kHQe_ifX`3ip
zXEU2OZRUBcEgV|6g*p|sQY&sNTk~vV=hAJ|d%KO&!?rW?<aVmm*+J8Y9W48_gC6~N
z(rMdH0(0-;zp=YW-m?q8oV!^vcsFZT@8;b<yXoI}4_6lMVdUOD{P=GVtLpEi-=w`{
zU%r<Em-aI2*IvrkNatLibfzv$Cv!qNj`Vc$-b!cbyL29B-AAL6`&d|G9~+zQ<64`2
zyz0D<kKOk1zWY9&blt}}>4!AKKEfLAV?^bBG%mc4yczcK=0!T!E~ayGYdU9L>HIl8
zor2!!jPgw9^2fbQIJuV^QF|#jdM{mT>}AKhJ&fM5he7l9kkoJwUT=5PeBEy1N9<-o
z!QHGowhN!xyI5Uz7c)=q<kF0toGrYQNxOHjbKnkkf7;Fh*LHr_*v_D%+prAWM#`(L
ztXi~{#GG4+iP=Izg)MAL(_A;$O#3~XxYlwL%MWa1i`Pa9?cczaW*hjpJq=^+G@@3g
zQmu3<U0v(Ro@G6g7OcbX#acQHTFdp5YiQVL4O5a=6P{}|k@Hp&|6nDnI<Dlv#udCR
zw1N)4DV+Hunb0=Lgse*9a@Hi~PF#-PnMB@HPvp938LeI>P^WVOJJ!T=%Ojo@W8x@#
zIF|lpV(H}<Ly23_>}?oL3uhFo-b9koJCY%*BiNHMf=VOYtVws#shEp=bDd<r;-GmQ
z2Wb{NJ}+&|>}2EmYAbObR!)w!F!q?4g%!=@4lz;nX*icUhLd}}k*B$gjG7Tf=(SLW
zGz;ZfVhD9TLTEK5m_pZrNN*WL)761E^96FwFM#_OmhyA$5<Eiu`7wGi@7gTlRYgBO
zX7i=QKMNRhb3S(t&m(-}Tox{y!#3M&2%JT=1v8m9V+M66PiOdqX=I-;m1dKs@NwE?
z+RvLr-K7&bV41+j`0?D^;Dhgxaa_MWmJc7sa5vu=Ty;lNrq3us7L4S4(g?nu9ZrF-
z!zfW>7)3`6B~R24GF=+X*Ia}7+;tEc9Rn$OV*nk?4!|_IKhO3`2juR@&(VE3nBIrA
zMf<RCUT=Qf>cw=gUKCo>lfMh}<aa<1y8hdp>l3?^@VFZ*hIix5{jT_p>`M2iU6?Sv
z3unK1GvDmZ^fKOT+uoUW-8)m^RVR9xJ8_|QCt+hp_AKd0)mj~SalZrKogEn2xdTNq
zcc9FX_ACf$PsL8{@yyqr>37?aXMH<<__d=&uXdcO){Ye(?Ku0SEryeA`IXj|>``qQ
z8rYUkGuv`wY+Jq!Zp+xdZOPlKEnj=KrGl=*^<8z{%d9em1KKh;qAgd}x5f8ZTY5ff
zOYaQrSX{9k7roojeoi~?C$+<UsU71owWnvZ_Vk+7o^c!76aJ<>d+T)I-#Hy<w7&xj
zvUMcAe@DKo=}4XL9U0uG6LU9oVsVbnOq-;!pYP1K`rg>%z4?}<3oYh$p^N6J%HXb?
zzSNc4-reYVq8l~ZcW3X3?tJm?!Q;z4m@%X$iO+g6eqJw*XYI|l_}<j4--qgF^=^Fn
zl9ah0xmNY#X~+Ilebb-w5d*m3HIPcL268rb5b557`TNIUhHV={#>qpuQE?bo9uDK5
z#NkvKF@jm1BRT!oNGhd`V#%D*T=W`4o}6Q8s5RAm-8hQ*`Eb1Zc$!z7!1Qku7<z3Y
zUp7vnm3cDdCQc!?(^QhGO`~S6=`?yfoh{dA5VLP44_D42Kx=yD!a1xNH<#jl=5e6)
zd@S`A;9Gtn{)K$8W%VQJn;+}nE+XaWV*Ky>)A0Hd_MBfz#<2lpeiXp);eq717f7bT
zLA1LS#L51_gkBG3ao-SDT@B$&?@(r62_;YOFpgdh!`jQp_{&DTdxcZ)ayW&1nRs`}
z#KE3s7F;q@w5Nrrix&RrZl&Y}D}}q+xN+9TAa6U-r|g(IIH+;V!Q9qPMjdeSqPdH#
zyIkz3@8<OeH>;~ga6csibE!zyMMhFDPZXs?qwx6=MV2|y{P!Z71|wqFel>>K9b=ia
zHx_rzIG!(yV@#fSelCt@>+5)Y2Pe?uWCArCEF(waGM;2jWc!RnX5UJrv|%}^E0<F&
zdlJK^Br*SjKI<ft+n&slH_2@BP9b`A3iUIrz;Eyhrfyw9rtB+eGJGW-TURn6^D2h+
zTgBa#t9bl=6_X9CnQdCl$E&M(U2+ZmMz5jfnl(&)xrRbD*HU`QT0+*ZrPH&uj48j4
zD?`@da<3!#^g6!%SVv;r^@NUE&sN8J${bkF=@;wSTric(EmEmII+Z=4sVrKT%B(Y~
z#J))7ZI(3Vl~1F3%QSNIO{2&pak_sRn;dDhNKWJ3rZg_?OXK#*G;&@}WBjc&VMiK?
zkJ9k{GmSvmE?t-SBaJlOo31irPNiYmpT^V8X)H`hqrEGQE=$v}Ni*adkj7O*8h0wE
zQ8iZ@2meVW<#H<5wxlx9kxKoksf_KE%6rdL9)4L*y-VwPv2s1R7OW?+^LkbkUr*WR
z>nO5g9hRl*2=!h^wu0*@dS@-Wm#^iYF>5(oc`Xf|ufcom8gh<bgI~opEPuF~#qt+R
z^jnQz?$xY1wu(gGRZOX~ib8*`Bq4Go*~N9E{#(KN)hl?}cLkL*u3+rO6jBGJ@H<lq
z6E`IDx?eK(A4v>cnM5~l@!vnox$a)h>?X_Ue<zXPMTulAlgP~j%g8=r8Hqm=NLZFY
zj+P0$xgAf}`SH{&6i>wFI80sRDD*s*ra`fMFCB}|?id#Jj-l=AXpV$L^Q%lWzjsA(
zre_pmUqo^>Ad=E0BI&p_f`Q%<^n2{4t*@JE1>EFZ@8WH17x!*ExiQnp<Lpkdq&Vo<
z+(GIUJ546rd7H`3-2@vy8rc|f(aP5eRvu)ul6RQ}TN4YTub8n<HB%zHnXIc!3~6oB
zdkv?vUpTLeg_CWUk>q|x(*F$;7KahkFpOr`LkXA{%J5>LT-zJMvtc2`X9(fnRl$7p
z4kqPo5Wk{=$m12nwZ8)CV++L5BoM3cqMIdvYfS>^d~zwlo=X|AcnJ^g_>-f#KTqQp
zv+&0vPL5i{jgx+))$yZStS<*L`{FTcA(b92pknU@WH~;cOU>pJx_KTotIgxYin$Cb
zH<#y$bC_Rt4mnb0v$FDR`2n*u?pYi;G?RpGGqK&9LHyJiocKMR0#VZmtTmltC#P|9
z^fV6tp33c{sg!FwmDp!f=wO>d^(Iqj|9CQS_Q}*ROy<kmNn}|yi9SOn@u=V=wqBUX
zN%KTJyG-P8u8FL@G=ZB@6X-Ew0{N;>pyYq!nR#M71!BhYbMkl^w;9jg65}y_^kMZC
zAM$MV;fULZ!}EQ}HQa}k4n73c^I>BdA1dVW;nA;gJo_+?hA+o)>hU;I?vLZ}opDr<
zow_@YjSt3Ye#g=D?{VDuJdRx+K3pi|Lz&7xtZe4Ph#o$48}GxE03Y@)^P$l`AMW1s
zVf`;3mRB6l?k?l`FlRj7lE!oN{CN8O7|++*6WBR=0>Lp87^(4e$}y2<9VSvYcp}w~
zO{9F5Nfh;-q?pVkp5L6re$UA)ojRG?>61B{V+t*XPQkrt3MVp8<?@iJY~DVV;d!TV
zYw|RTpP5GK>eG2>p3bm;rsL>4gSqK5$Wn18*k)4t>r7(D&tlV!Sq$zto5(%08B$C9
zlro1o#pkl$IhRE_=dmGl9-TAIr)$7`HvgW_^ne8fXIjXM(1pb0^u^-TnknW-wPZg|
zR$qi`$0CATFDClJVvY^<$K$m>eHSeuHTP07B`u|9i2!<v&t7c|;LDc)7PJp!j5Cnk
z_XC+-JqYJ~t>xoEJSz}Pu~ES!ZVG1Z&tT%Zg^+z&2nSz>u&ZS#|5!p9eLs}kwZnMr
zAIA5K+AE$$mMgAW{g{y(g~Lf2A5QR|aQt(cFby-Ya+8VE8O;3K$4vRvW_o-!Gv8Yr
zm|$V;-xk(kCDLVO!V@cH8r#?&W~0(=8&j*>3HP%z=bW7yr5&uB>fqIW2d{HGSvSl{
znGH@leAj0e7b&qWE<AIQ*vL(uAU7p0xj9%Wg3l8oII=y0V!tE!?|+(HeA)UzBrB^%
z5im1~YkQ)I%@ED`PSH%UM>FesH1|rxuv+|ienkx3p2bkUdMur%#By*$EKC26CA@YV
zH>bwolNLvVmvOYHA}$>h&)<phxP^s21rr$8H33U-0=Lo===eT?8&#GOICL4E9LuP5
zbQwiIE~8ZCMC$cVq)$j9OSdJm^I;<Ib1kQS)8)(=y_}uq<$T(<oO*Yc<C7r?cjY8@
z3Y#xXP2#paiR+t_ICLqA*ng53kvp0E)sxxKKAHL>lSy2d%sXc?)z>A{QGRi!Ysu7n
zp3H}@$;9VMp<?M2Y&BE3)jWlaol?lvH-(SGQ`kR2vBsGxyj+k%k0mKY1gEgun8H4D
z3Q5)!#@SNHDRWs;_#U1@=g<@u2B<E-6vF4EFlkB(4aTJKWMB$Qx~1UJI)w!dQn+0)
zg=&R$KXVF+?~^(4AeleUCi8h`GFg(7$!AKY=&WQ)4@#zzA(^@rlWCnTnZd7;SbRQ-
zw2eu;v?bAeS`vv}lPFd_iPS7f41T<vD*KmHBzig3W-MoPr{x?kyPSTX5-D^pQFSL$
zYi=UePKi`2nMme0%kUJ31=*HSd-yUc)>_8IZwX{Loxnel2{ay^!0lQI-1{6)+oSR1
zx5m@Ce?0$`i6`r`I3hO25jR)y)|PRU$r#6qld){F#L_|M1CtBKQvP-f(-UIor}cBo
zGlp+}MsswP^w{`l#lfN}{vwL#b&7LLjAC!KD8`HbZmf+Y$An0-R*B^DUlB}R8Nuz*
z5tQ|efCp|^=BB*PBwiMC6Mw@+^9UEGd%5VE*Tu<mPFk6qZ0+cznun8BM;ugN>L9(9
zgQ4H-ihbF+GtbU}hIS6VxAAbZjf&H4*lX$YwUwvqt=yVu<wsR31D{)Xy~e`+@fOZk
zu}F`Y*}2wC<U}(EtD9-^+Qjb-CQ8jPVXJRq(8q9=?heOeQ8=#*;WW$~&Y!1@e6t$y
z?_*?oaU&NWgpsm3j2BbG6tfNE;g3+<Cqg-94`uG4P}WumW#r!>B<=}eTu2BzdxhXG
z6T+`o!F<~jOt>+av;o14trE=k|AJU{Dv0uNLA0F`L?%NJV+sT@_Guv5(*x=42vjUE
zkXtPSDOM<ujIRTTITpa(WdWR<AHbB}0qn08z@h8`yga*<{h>?w+GZ&$elKC~!6md_
zx`gI!maxWS3E^k_dF=3K`#^twd-`+o^<r}FS<Ly+#pLO~m`jxxQ|QYg?wnIBJY^9d
z7U<lm*CIS?EFv(=A}0Uo$GyXT+z>tw3i89p$B!T0ew3-_#~I;vhKzn3dF@M{+rIpD
z!k3OaeQB`9m-W&Dsa9Va2l?Xd>&vrQzT}$f%bp3o{5{T>bz^;bDckJh%h!p%oSNoK
zvAMpySmaBKP?Z%g3|Zz&l~iA*?e(S3SzjjJm%snc7qa+qx0D~x8>&Cu{pd5%j}0My
z%v#|`@)19ps?QBQ77<Z(5&gO?V(#okypLPNnWKyN`eqRU#TPTA!(zhbEGEOs#hkph
zn44MrsV!Y|dYV70R{C@3u0KT!X%4$BVXAQnKF5||&#;syhNX;IvXtzHmNGFz0DqJZ
z;8D8(W-7jDF$GXpyfoxW0J;7PpmnK0KDQ2}?u0;|N>>%%8ORCo)N79*VQ&!e1A-_Q
z5JZvGApEWe(d~B-rW(Q2)jDYv6wD@ZSJ1s+c4rTvOOp_qj|(Bl9YVz;A)1E}#+D1^
zSC3F$ED5FTX2mfdhB7{X7<1c%abk8D16PGn?PeH_vm065!pQfjMm8rIiN0!NW0r6}
zGz(|U)NsBhg_C|QoWyJ<R<ty6Qv2e6`f}856IXMa8QjLqhk0faQqA;vXr^#s3lBP5
z*yL{^aGQnx+HX}$TluIn$n;Pv3(~Drdu!!vMH@p0*|=@B!4Vs_Pc{yT3$G2gbIN5W
z_Jo~wU+tW%<)G{+2i_45+Mjfg=c|JiHJ$t(?xdpANv@+#cKqw4bY&N<2e>F}ln=Sv
z#qZ}XehN!AbaInpft!MB+#J8|rcCAtO4W~G|A+{FTI6Hyksf~<!PEkg6!#K$PK=~(
zL?lrMA~8RYBzJ)*O0<Y#^Oz{knWLDxEehwIC>o1T2Um&adspGztY|hzMRQ<pG;RJ+
zd@O^wwL%Pm?PIv$6N51<hK*}t@H!bo)2A`SW{zc4dBuDUv6LPfOWp;sjCRLTXk#pu
zPRWmb6swqVEP(~$$WT3w+r*K5Kpc)KangWsBu2(jaa|lg(&MOhA&xZ<;+Xd~j;P;p
zWXTuLapCyYn(@?a9?#tly6zoMvElKopAb*@ta!Hj$&U$+=dI4we!Jos8XHfh<?(!4
z5l^GF@f=ExCwgN%>6_!Ju{ECOviCA?*;{@0ME9!bjChaA#;=U$yq@hD7f+=K`AFiD
z6Cv`E<bUs)6HlGV^2JBSQ&Ieq;w=r~6;E2dc$!s=r$Ui<CTA7@e2$~o^Ej5?jKljx
z91FI`kuxO@4|^Qr{o<%UK8^{!^<67*Qk6Io^2K5O63aWy)9KT(6x|Zb{peUq`Nwi&
zOf0!O$8xk*EMM}+vgKn8Z*Ik~DLsZS%cOUf#87Kg3?<v>J?PAPZN?b7JdP&#a5Vjr
zqB-av&GDhpOlls@rlQeA{Tqen<tX}Wh@y6Q6x+u}@yrm#=@L;4{TRuLi;*O)i=<yr
zq@Ii9U86|u<%z`jOj_(<1T|wK#Mu$N?HEB&*$Dpn<fhmKt;1D1fA@2<vA3I+)fDge
zr8D{KE{dhOs2J#?$UyyF%f;4AF6}iZzcxCt20O_!*hz35C+{;m8Fa_NzD*8FhdA&b
z?BJ2&t(`m^?7U;A)@C~!L+rF1B5tfJjhV$xmwPtKZ?%zMxd6q7+i2C$hJOwl4<1@|
zrfVgu&B~RrR*tu@@~D87sxK`h9JXMHwNP-Tg%aA={XH$5`eJ65{LTK_^YenuTpea+
zdJ{8U^P8FS%EYDPCVZ1jO!hOes=tZq;?Zxp<&VA$$9N)~jw`|$v^1Op!@^n6BAoEz
z;k^IP$o3mXF7HrGDbh%}xkmcQUwzrg$ipH=ntcxA<Lxkt><eRAVi@LtFdmH!BdJpu
zr)!2WT-Y|^Qz+-}hO+)}D4*7Zveg#KgSnyj4-3W7K9s_>L&;lIe=AR7%uDJ0YazG}
zhH!s<2+2_)JO~USdU^<_hlWVI>$|2QbgUA>q#_~Y$Pz-;Pr)2}8q9;6!7Mx-j4M5u
z8XJRYmmJI=5y5;GkGmHOn`Z^nZ9*_ph6j_opD?>?FxT4#^Sy=6l^O<fxmGYs#Pypz
zgBevSn5d#EUr_P3yuq~26^ws&VSHA_-aLXaWDX`UQ!pK5W?4`D9jWgJ>;7_;8>8~8
z_1t(pzgqQ-QGLr)Z(r3Prgj>sy%B0RliK&}63m`H!5UvMy?taebnP3=&X8b=JA-+f
z5KN18!F=7JaUBij!lhsy{UKfQCYS-=#WguY2rU`H;Tj=~ZyCY@`Ar{&hj2sZ=$=6#
zT#XFj)mq)#r+K>+Lim#qYJJfed!A4trGW-0o<C2V^mbe*#}|e2!5xZkYA6GbhGNls
zEA+2?uUujB8N!G&gfV`Q;uPYlSJp6=uhn}$8pe}9!kG0nj1F28!|NN_+ug{3$wnF(
zjr3k+B<+ZiHV=&y_-UkMsc?oi59jJY`DycY9Tm=$9pR*j&r19o&W?g6{2FMT_A#j)
z6NlX<DsDHCdd)<ikJ5le%w*EK&N|Rc<%MQO#F^QguGr>%Gwz@A^U7H`+FJQFV=OcX
zvG8-Xg=?oQY}3Ap%Vj03w)n26l_|5dzap&k+i9i4Eh`PaDkfUW#<x~Bu8gp;Jix|?
z7221_<rhA+(LS4<qt&#ByVwbsVrReA&V!A1o?f(b`K_I0`NfCz9bE72pw(;#OWh8Z
zZFAth>R`kN2fqtAnOon<zFtnQ&2W-#cQRf0@sD(L^H)x~XIHL76&L5)xo9xj#jqtV
zIw!dJB;Fh?46?j)F)Oz?Q@Av(otr?N?Q~PD>OzE@%$wZ2IpxNv_|>&<ZY~vyz^_&W
zSKCK$Ygh!vxe+`Tul}_n0>@rmUy9(4_;ud*2zKU=B(`!SWm-hiu7~`AF_Fxe7s;IP
zND3!J(r05NwGKrprWnbV$B_*F5J^I&DCQN6;(7Tf-qnl3L6qX;QP_t@>5M;$2lJvB
z7ZioRJ&Nk_QA}7JMUyR2#H2@IIvz!?i&2!l6~&Q<QG9$J#jdweWd9t+%b&_0@rY(n
z&S;+IizZ`{Xf~A4wc>Ug%SV&Bax^dG%M7cbbJ|+bysaHgzPjQE*-zOyS#?>lI^qc3
zU!`*Gt3@+U&o!$Mjje1nb4y0^kLvxNKbmE^qPdbKnuOm`eE$-~d*xjDzltK|&nSl7
zjbh7{C=yRcQRz^WbaE7#)AW6^cqdAHV~V2qk|<uy(sw>l%owC{U87j+6~)53(kGgm
zk(#4!nWK38ZzSdZlAm>5bA2q5o7*Bek|JH>6jv?Ld`^v|!w_9}ie$UE%C~$ZpTt+y
zzC}=2oVE8#1SJnd&~#k{1tKCy^^YL)MEPlbBKY1if@PKUcfJVfeQ{G+Yv9Qlw=|KP
zBk{UcOyc@vH&J~Q*KFa&Uf#{=>~3zobt#|B#o`0vwN)-mW*2v7y2v4pE9RxRe?=F!
zwI*%<$iKVpWc^+z1(Tfkgg99_$;pKtPM$V&@}{_xzkWKn_@~YlPl@w3IOyPVkY&Du
zgF_t5((3T6<lsVf2MhnUQ}L?y%P#Gq1Uroa?D8$di8_CnU&l`8LUt;DQBK?+HnJSG
zk!!8EQCie{mW_}BHl4-VXjWePF{_P^Z>;=#Mf!EOmBd6@u$6t2tbEbl9?-<fP3c?T
z%vM^zvQX=a1@>6Pe-`eCS(r54Liqs}vKTBBmA~0PuZ3g(nHepuT<^4*23yTch&OXt
zJUV@vnYO~39@5nAnr8A9HFHuirQPyL|GH_S$59iXHk!B_XX00=i7~>gY|3l;yQ_&J
z%}oSUF;Ta$i3*ua41E{Qod@A8zYtF9{&1b!g%h73U)B=NCi${erR`sff4_APr$6ER
ztS8N1A)H1<!a1HToE6`UT>9Hcx5q|`i<cXnF_Ln?$jEK-dDqJ4U1lV}Z6qYz$h{>-
zLgyI?k`HlJ`Bn3V8kySH$nLJf=Jw)qFC(rdMrzkHQnrSXag~hxE^Fj%3DqkcznI_1
zf!szi<}ebU#YlK2Bj<jHG4^K|y}pOx7T#C?BJP(4=>MPi;8PgaWchWSA`8>^2X(*8
zH<kMl#?W8#!7~`ym08*$tC7Juja1HSq-{YXTZ*dxrR4J{o_Dvh5o1jw!Qzn%O^wRq
zG}5Jm?sbztr2e1OIPPmaUK-a+>5+&2>c4nqjnl~dcq4Z4&EK1hxc4d+a9n=VB_kE?
zsorNsZhkOQ__vYBT$*3$n*o)>iD?i{vDV?-(41c$8cz1f;VfPlPEDiE&!WS1t{skB
z{8agPIB&&KZ=dK|@dt;8iP}Z<&MTY9(9}f3&L*M<o2WL$#LLAdZrM$|Pd3q1+_m<E
zi8k`hGHcEJ{Zr3KlQpVj#?jPF-mc;=<-*OLZDv52d^fGTMVrj*J8GubEtPpKPRn57
zf_ykvbqmw9W=Hn5Fn*$iAo+7!-4;Hqwb1^6g*8_#6nkMI`lp2og|s)SSs7-qlD(gm
z{n{G~ms)8NWhGOZm5Yb9XKq@Vu6@)xlZ}GKZ9J)MV_Q4v&%xrm8QO!PHV((zn6t%3
z*^}}GrB(YYmh&j9oe`z&T&!=WZYS;KVRjDBvhz=va{QJl_OsPahLd*g-L;b>ZtN=k
z`=Gdkfwdj%Xyf2he+MNdJ1DorL00kPh1Cw`>~-+@yo14y9K`(VU`tlTlu9_6Rm({+
zoJ93@@@lM;BJ*Y8PF}`2aiuxQt#isj7oE(1=w#eGC*?D`*jT_twhAuge!8g8*2UxA
zE~bc64-4NOEOl|h?qY7Di`UZi)s-Jn`?QPCif@HIadAgH`|hWBIH#M5@>Ne)RQ#*1
zn{zGQOqbt!ML7C#xSN|3-7J`+Pk%T68r@uUxf!3}CS5+nxs7gOce(LA<Yt_Bd8}f>
zWp24~DW-PlshhQL+<5;h|3W!P>A&6b10u+mD}tW+Bj{8lf-fZ^7%jgfxIzTOtH@8O
z9zpZk5wxr)|D{0$lNv`5*))O$%_Ar%{P$@U!A!3R8W|$kB6}*kDqASKrSISB{t=by
z)*=E|vk06`BJge$!2$W)uj@o`qo(viwFvH2Qrn9CT`3*GgyIpTOGli|8$oOi<&t<r
zFyogSUvW&^4;tfZH$^lSPmSr#O*eiT<2jA>p~k#xx0~LZ-E5VAe=|`$6zOKR#m%cg
zH#HWzX)s-yWt^MkgZ0_dO~dwX>NI!rskR$a1)Vh)byF&ro07j>y!;?;Qhfc}9T#2~
zT=YHcqSba6Ust=ZD)#<Syw%X(MVA?hPwE|K?CWA>dl#NfTr8}rwNTu}p&TwYe{-_r
zwUgTSo$NoaPpz8(>95_1POjQy{!aExa}qjSdaS#Xo2{G-)7raG%1QNHT8G~pta<6+
z%xwqv#B=v|iSx8>w?#S#4|dRdwnMqB4vzM8FvZ{?m)82qQVtsCba3E{owm=VA8*((
z9JjM)o1J<ocGf!VlwD#cYO0;QL+zNwgE^Ynu~xAw2h7fj%yyc7P>#+co95R>^@BG4
z++br(f=#(4Hv0P7Fif=3bfAsa9c>KO8Aebg8wU!BJ2UGX<AasQkEM0RlR1xAIlRS+
zE!oO!r<EB2%EO&$W#=d>8G7psq>YtV^{tpISm`9}sHmKvvY#w8dnPS?%fhA87P_S?
zPMfCO-9!r!4hxBa7S7GFP;R`m^&kt)m3x;#`1H1(g{+k<bSS2nQ%(!5f0_CD-ppT5
z&3wLNrtw8H$-=j$yUl!0GxK+{nLN>EhFZ+r4lolk-^?hTn@%00e7-^d%Ue)9xPzI{
zR%VP1g^e}LRH&fO5@x~+$a0w3pV3UEZ}JyDm~aYbqyCc5`-cg`EfarUHnIP#iF5LS
z^B*!{*=wTJ4il9&n`oPAB4)LGj1&`3mzj7FYa(xyiFqy)g@oZR%_jacniS(Su`|fT
zga8x0mzbC>j6W-1da$pFatlqASs?#pzH%+*DGn!VF7uW-WqI`dVOgrmoK@L!dM<U5
zi7EajMlUsC4K(p4*hFBMi7qA+ovreL93~#h_gNTiqJ6xHcFWbL6(;ViF)<@eyt2ha
zy`4H!PFKG)rZ(c3pBm!}jWx5z++AZo@kDLBGQoQjt-qL<{@cWvtY&)Ul@BEy^QerO
z7nRMFtfO<WCT4yZ%%pZQ6WGhl(!pj{YyRI)F*8oF#Ggwv-{EEw-DXxTGjnl`nNre8
zmVIW*oRn6&tncrcb-rsRP4D`TA7<)g*BU8gp}KssD>ZcPrZe$*Z7s~`VIg>kxJ&Ei
z%WMk+mx|vk7KSLM@oSZZ-CHe$9<(swoQ2`H#dS{=xBQ^B^xMLl+~Tm3R$_E+kh!rH
z|F%}LD2^FF+)B$SR-P}kvOLVn$Ve+SR#^GDS$Uubqz%tmS#`%s#B(dgPgVl7Kl}^G
z%Gp>d-V2tt4EI*dQ+vtnV<UQwjo3gNF%BCM$|JR=*$CKcW5y}v%iOTh;)#tS;=&id
zq(^hx<yY8sUT)`hV>^EB?BwrlCvJqDBHG)*zIOf;H#UgWnWFan%1y$8eRl0BJ7<Ln
z+y1l@CZ6p0!_Ir@WMdJB_)FSZv7=)x9Q^7i4c%AgD<j35QyjdNwoVOl(8ccHQk;Wk
z!l95Y4z}-ea9r`&-OBT`+;`CWxq}<;Rqls_<>J#T`JMb(QlFKaEU)9Fb2BHG+Bj*@
zRruD=iAC5KpnUya@=w1l5MBm2xhJkI;Bw+AzRjNE<n%h_25r%EyT!wY^z2C|RW3Mr
zcg>0Ou9K{fo%DY0WcJ@qCMpKp;H%pE<)pob@LD*$PG?6kg<K2~F267BVrY4n{7-#f
zT|RDY7j5dhINQiY<z~YAmNJ8jDsBF+U);8%>gcSpI(Lok=3+n(7cY9c=q`Q_=_6l7
z*gvtKi=zE?U-m+lNAc$@vP-(2D!Z@y<z$Ujwyd7H*Gt+!bzJH$&7e99sqTL}sf`XU
z>dO~*C<o-I{GoF#T&!>EVz~PDyq<C@)z>BJvsHbcr7_el<Kl?MRJ*W?+4=NbP8XqB
zT=dVNxVN|`_>*!--a08MU%$>@PRc%zp1I}3eMS1_oD<*U;-3S`HQA;4+Uz7v^X#Mf
z{-t?e=oUYj6=zhevBo0t(Hti^r#QJd#>u=PPBQdyGSl113FU45ZtA35T_=^R$X_et
z<ar_KsGLr`Gdj8T*+I{L9Blo|!Oy!68fl#j6qk)Z;9$&l2VK`YsF38~g*YwI?4V76
z*3Uc#L$u~DE8gF1fZ`cl9XxEU_1MHg|C$b#c&e<{>sImH{@*(5`)FtPOFQcx*l}O8
zGf!*0kACA+U7YuQjh!>{`y!lnhJ=dy{OmlMZYNne+9L<)@9uW~Xrow46Fb9d>Tgdw
zPYT;f&7pd<&)WZMlfJd_?!JwSSEN;?NfY<ka7dq;R%?$+tHx@-ZVa(;UflRe=Z)3J
z*_b3fyR(OlJne1FZf@gg9UJ4tlb=dxZ|AeoCW}q)$jXIxRyI7dvh2Pv<f@fzr>)#M
zXr+*1M5CpdkEK{?9;;Za-O4zfo0ME^<=Jd2XQZu<iAS#w6yEf(V(4fk*2_vR;Zsa4
zE3GP7`CiJ(4e{!kT*4#yrI~+N@cw8a?Tv*R!nYHDSn$7Tq0c4prnq*%5n-VC_Ud-U
zdN*1)vqn6eY@t=Wh02i@>ez*w;TDpEl<)2@K3<@5!qS}6EXq9)|0<ui$q0*bJ}vy{
zXTjaeLYHoOwzGVL_7>VIMi$yieBR8$+{P9>8;G~-Sa@91!hh8))U9H{Qqe-L^1|J+
z!tK%)MwPVaY*lR*RT=psGlcEA3ktjQE54S`Lc09uXL;1FY<+I=zU*5r3%6x=WItsc
z^xYPjL1o^`j_H}bdiJX7$g8@hs?Im6+paeHsI6vdv$fiuq(1EMR6o_Hjg>77RUfO@
zv`}1qu3BI7)yTr?rWOjdw2)%3&_g^^vZDo$E*A3iu+XTFg@pqw+#O<J@JI`vG(Vdr
zS_qkDVg77=YW_AZmM<ku)5oZDXshzK+!pf3s{hhE=_@VlT(9@AS<mj2*4ZyUJ8B{O
z8O^QUSp&Vhm-j9DO^k(D#T*>(6{r7VVV^kbZB{Ey^ICBik=80B?$LTEsCBWcp|n{`
zt8m6jwyswG?qlW8AzD*oluI^Q>uZh`??sAPDz<UiVx@{WEqs}k|5i!AZB+b2>oQR5
zv&1R!+a)XGZ|hom@A^xvJ88es-xb&Nu#q#5c&dnvb7jR<Rc$2Kv*FS{2yH9=>uO^`
zKO1v(_AqC>Y=*8E+L$NqTOf_OFhaIW*V<omH;Mmt+n9J*vC%U&dR>+NluuagFYT?r
zZTzkC!c*F(35u0Y$}f#uLOF8frE_c88K69XpDpbqw3pAQeZIH9o#x`lP2=qppJ8Xg
z0&(F|I|ah!FA5(P#@dNVwzGbnoef*;r0lU{JS@LccvAVYo%^@!1U=NV($&lUk<a;`
zotZ!F9Fnj3BbS3Jg&cU56bF`fP*=bI$XVCHmBtQ&m7n0*PB}f^4odcNFkhIqf0%<e
zV-&NRB;K9j;KN)8C;c1*3ID2uN#k1_R8~xDX|#hQ2@YN+JNP2b{U_DI+072DJA|e3
zUyle!8y(f(;@~r9l`nKrbt(S);HHC3!rQSA)VIeDe4jeF`$GQj8wZ`=I_RhPaQjaV
zihYq!@y)?R#nYbtRvayplW-3wo5bC_vn%c<9G{)rNu|6_?HMQa3OF$rbaF}<|Gcn#
z;v(XNqE4cVIccM~+(nt8g#2XLDcK|0ec3*lzpR2RO=XJ7#_O3lJ-b<TtXEw|)#<Ie
z-%2z1s;w7!oU~NibJPci`r=fd=BsaQ)W;9%Yq<LC@m*Y^F>KOU?rTi%HMTbz<3;&R
zG0!yCCpr&%=wOtz$!Ymf#cw$1B@UW(!NH<44yK=wRypDzzvl7q9`TOm^`YjsN1EQ(
z8qIf#<}6Y1^;peKgoBpSKV?j6L;lx##S;4ZYR>1VzUdC0O;lZD#ZAN2=0FDp`#5Oa
zO?~L-pqu!sO$!Ir8ac>N$HBR(>c7@WGx=-x3OkscSNxdG!QzY#-hHz(_<x+H*kvxQ
zwf>LfujwrByyBSOlpj`3XX336+UdPp9Hw<Te!Xmkol)Yse$snwZPJC(e)+Vv-)fDY
zn<@P_N$Y)#;+;e76zeCB>!uiJ2gN`Q@(-KZ$x=_{s@ZXA?+lc#EUUQavs`vIdq`XU
zw9)B5@!(q<FQ3~uDBm#Vj`pVZV*hi}rN@=ScECoVT{g0Bwvl<A4UZHXxy6kowU_HD
zp4vTBJh;S0(gNjw&$Ll^vW;P5#hb(QjN+`*dfND-vyFkmhx^jS)8tp?sB2?uH5)z^
zY*Z<2<6q&)g?!>womHkvOK<#X<=|)KzrNS+niW&>7LP_fvhx0}mEkwUdBUf0XN7+!
ztZY1FWpcW>RQOe5i+odYYo0Y$Du`dbg>OMIich(%)E3VsnXFV2*Y20UI#GOERr>y$
zaPjdBEBB{Zc|E~OzH#zd#lMlmgpGr&OzSWFluw%=F76{-E!$b`c2I0sK5ka!{MBfs
zzBIS8LviAgjjTk=@2y_f%2i>qyN23P+^l~UD}#m8bL0=N^0e}%td*|9?jz#y9wn`O
zD6Vl7v$C|P$`_Fp*0uP3V?o_3pfa)}`SpzKO+M8jn<E=68z7q`i;!KH)l!*wSvftE
zE}Nn{8mg`Wsxyn~&Zjo&sx2S2xwVA2Lwzunwo*iW+Eq^DEw8z(sIgR5S@}gJs#|GR
zQ}yVqYg=8-Z38QdHO}7}Z<NN3#{a`$<-F!&b9*bRJE`AYteoy{<x?*!jru7zFi^gf
zxM=7IojZ@VGT%ozlF~WXr%E5qv@&<DVvBkgeHU99qIWYhM0JNt-&m!4T)Gz}PKr}r
z$#N?z<cHN*YvqvM^XM(=<4%>^YsGoc%9vw{KT2m+zo7cB>UVp$#B=xM<2|-ANNZ^6
zYb#scDK_y*>p^_BFoU$6^jfuC(tG)BeAYUgR7!CXPa9*Zi05i*FVwe@wW+jWEA5B>
zt>I3Ji*&b9yRWX5-(nvjEjdoVMV@41?+o$VJR8jyDUUnA#*r`^M(vRvZW~2omA59}
zZ{128v(~Gw%{DUav~ea~n)9%Ye$t=C&MRL=S~TXC;xT_{pUE#gDvdhtAML}BHZFZt
ztme1Q_I1|3GpC*I`K5Uk+nH9%&L`>H`BmieN$dJ3mU>OPw|Oh&*+>Jw?I<h|E`-XD
zJU&2JBdn-8THGkU96v?)AsksU&(0!g=;^|i0U>r8nuHy8VUt_A1u=G-DHeNQ96EQk
z;<2fAmdfvZFC9KWShZ=Nov()!Us613f;iQ5-cI6WVbgUx@wer(-nTPcSXb>YJAVoH
zT(9lak&n9ngPj)Q+I3&;WEJ1`%OIa1v+z2rgFkYJ8*_`h^2uK)C?B<m;=08h)D*5>
zDI;$1)P4E2Ln|vsLYSMQhH$)=gBikLV?7791`Yy+$z$bPG;Aj9ZSEkUr8w0~d4-Cp
z)e&wx+Nhnj@`KwuXxqWTAmRD2P7b<vRy*E`A<MROaWJ5(+LBEc=HHez>@GZ)ZIj)Q
zJ(K+<yDVETn<=X#JE^h*WY_g9vRKviP<0lTHB}qlYRg+~HdWh&)rW`bOPu=DR(-pp
zK8{phudC0^#V<CE;j+e(xv}&^Lp@Vp-`7<?Yb$4}rg*8EVuV%XgH>|yUHs!L=b)(O
z$yU<Af5pU&n!jb5$Ge)(oOvA7$|*e~Uix1?NgHuf?O%3sf4B4Svz^uAsFCmO<dGKI
z{K`%Ty|YVC?DWt(JgRqDQ=DZ|tl|C@>8Fc!VX@*9C$+YY>I_@_^)p>{X<ZcDF0R^a
z$0N<oyES&Mi_5kyS9~H~?>gE}DXp!0;<QMuwT_{7J_KmJF4kIGsP#KXx=&i}+hmp3
zI?W@Fb1HW%-(bZy#d8^Z$&c%*_Bz_>+g84!mwubuT=C9EYOAjN#F}=tS5Y4-NXwP6
zbD_BMuM4ZLe2Sms)PBe+{g~0tmmf9;d=dA^A1v}#+Vqu;yHAy~_SnYS`!)*Pwz1@z
z^yoz!BhQNCPG~<Lk^bFpquU;x?{C-dHMEysq}o`tMqIhV#un}KK5;t#kJNs5iVuYW
zMZ;~}3>J<owJ}Bb&{}+1dX9X>={8=8GyfQ`y+6jrJ>ki-A$nHaS+uW>mOX_@($&er
zoyYBL)NHL7ld$NIW;QxBwy|6I)Ub|?^cpt0N{>IUC`=N5wJu}hR|#q8qSDZX)HmVV
z1Znq?Ic<#1CT%V)@5rd<e~D9sg>}9P*Z)%<?Z3kG_u{jEtTYk#o{;_@^ISaqRKDt;
z;)+MY;|Er}gsZj0$JK7jFSu!?%XKTWgt==jTX}g=m@5p9Kd18|@pOnVIo~NO>rYte
zeO%uOr!O3_l5$x0#NYFT-SZCUdcW{}pOs7E^PIAN!u5@N#7#2mZgG`t%`Wk}?7MJ(
zzsxF|EE_26D;ptOAWM?nkd;)~X|hW)^!!0tSJn4S=1~2e)J`6?`B-*L?Qc^*Hmg7B
z>en^(@2mP*Tm7A`e(zWRi)$Q#8qeo5R{S)+92)0pjkkx!omt~QaZOx&Lv7wtf9@zB
z<erswe^}}MQ1d7r3Vx#cHJ8scr`29*+?wMHn(KO+^F+;kk^kgxeNoK(yOq5^#qk-W
zyE5C@C7zm-UECtB%AQx}W_q88^<LNO{l@D(N0wHcQSrxQX{xQ2ZJd?9dM*AcRM)2e
zSBZE@Yh|a_%ok~}wkR$sE_=~I+~sX!bvJQMFO|`Hd#QCdQtR*TaINdn${iE8O_*ro
z;}o5n&k*;_(fXdRwdSX?{x-~kHtK}xTtVyGU+cV@*87bJm5s5{I6>=ix%#I)(L;M9
zv-Zf|jry(dRvT5teGjyMqW-s!#DAHkHTRyfG5ws43YS!eG^p{W&Li$>Km4KC%47M5
zPgUOw#Z}+fsQ=E!)qhpjXPr-cx3Th<%4V{2THM$_hw^E1+Zii<{7ZUwR53fZq<y=T
z)p?0@aQVu1LZpfR6h^cVR@fTow^xnzz3^jnE8zmdJ7LO?4t6Sd+i4^29Ng2cJR<R5
zfAQ=fVTw3(><D3^c(ndF;oStaIZ0eL_5b2lh1qtl&b8yaK)PJKy5WDgCT>j+6t{|B
zSA^NgCfplq5tj=Ce>#-QCp?@HDGU@g?v54r3MX$alL<4=iF<dh5LT|TGjWaDTqj;%
zuX@rnu8nq{i;sP`*!jIxx?Z^Za)<Q6E@8QF_`@ExnXc!=)9(Ftwj2<SAJkllvyUBC
z%=n1>kfU~{9{ax>{@-!=$|vmfI%(&%%<q)?Cz~s7e<(AY5r@le%L)nm+sb@oi)BVx
zn9NT$MrM%Zm0eX?i>#UKj_Q~p`>Hw@%Kq0zU)g50nL*Z3?FXtaTh*tV>f1Z@@wfV#
zS@uJHf2A>8)L7PPO!M|i=V*NYYOE`F$`8`GpKMcKH4oo6YfdyTe{YcQqj}o1Ui`66
zT4aspP4oCb^I0H8^PZ#_VWR3vkVcBrdWaE^L`k<q*qQCpyVtvErgxN2@9JT=+6~iO
zhG=aB*}1V)ef1ajEE4}MR6X<6p15n_EX~<;&572-r%5V5L1P)G`52@4!$^&1n4LjG
zv@Qm!pZ&zKT3Z&au?t#jxw`1@PSRuT<;%4ZM;fG$T1hi$efDXhu{BiOv!3Rww%%b4
z^{J|zkCn8ZDkz3gPTH=t@?lEYX<bwruaLM_`(Rj}|3le*hxOdXkKY#}dxpwN_DI%c
z)cbrFLLu8_l)blPMzTUF%1$(pgiu1`eSXNu$jIJ%Q&wii{XFmQ^~ZgDkK=dT_kA75
z<H)7Y=RMBz^?IG-{V9yo#Y6OoMML!Ig_-l2h3E^&nZ@MJ^6&ri`Ruiyg7wYssUhT7
z+-vH{i(ozNX|R6!5xGVVJ|Y+2GdC@8ow`DP)+bN(ES?pfWsZ898gzm>MK0elf_1aB
zV7)Q<J%~IHN~Bip57vL|4c7mm2F%*Uad)tmq%QP|BzGhD9^++SYQ`bPOsg=Sp{x$p
zKdoYKHIVZzrzTNjo-Jn2$e;83F-P|0_i@Y()^Ada{C!x9dQ&H+a;(YJD{57<@yxHs
zaxK)alo8z1u>YB>FY)B{)VHMrg7r1jx*dJ_EJAPQ{M5fvJs3Bc+xvFq@2HC<x^Ui3
zTx-W*_IYR{7wVKVZ6;X5YP6MOu-?2KwXY3xgw~w%ALa=y*-LK0Ihylqhq1Y>13#nE
zl(C#Kx_lGrXJcw#BigNDus*y2>yG-Y6Y4P!sLSV&u(3|C{;@XeZ)Di<ex%l-PUDs>
z?To6(su`>Yzzvn~j@qAvWW-?y;*o+Y$U_ZY*B4>9jfNa&DPE!v$3KHkobLj>IR95{
z;(9u8UEiSg`{r=How)9*Tz@{Ea4%Q5r*qufIqvZa_xgl;{>i;t(+=%v4{yevc-rQT
zYNNKa4Q+OVwri={khU~;=D05OcYDUTjvUvOaiueDP9LPZ(+Axc^E{ZV&_9!Vu@B#e
zv5kI9qW>1rkA3OSCiH8GA;jlU+G#j3JCb%A&1;B(1LNrvVj_juI60O6n$FlagE*QM
ztXG@ExH6CR-h9qUTpjjjPk%A}w2U!pIk~YiSU(X&EQQbqYj`$5Y-X<u)@_K@vBd1*
zEx~%xZNzz0u)aTrwc<|pGj|13Ysitkj86$XUpT<^B@sX5Lhg}Zy+<m!mCpA~<ic_K
z;sl@7KFuD=8P0Q_eUS^y+b(gRSGcBYwA&5(`8NG}m$rI9+&rRPp3v{l882UQPp`?D
zcRZud<$3)F#`4d^-j`rK<{R(*5v(`;#hUXE=PbbIY6`LrGiQEJ9avk8`d@<jN^P*B
zM(E`k|0=S!qi%#(q5fL)eQHT|b!t$}5dAUr<q37>VO_@4`s}e%dyY1ymfBPIsYhd)
zQ*&DKoRS*#yfyWSdgbHD*rQPssbSI1A$pJYA^NuttQTBE^j6fk^Ibyp!PL9wT^TpK
zvp3~IeeOve?8R8rhwGp=eq+q-PMwSx!0QH5-v%?bP(L?#aeYG=>!_y|!$b6%BiJV%
z$#^h|nm(GJs~*F%qOn}hIMxxkNgdudfx0@8F^jrvHkrL+jHgbQpUQdx-KTMX7*G9v
zhq2zw4bX|29*-hETrc8~gN8GiUmygBa20Rx17@@S$4~zJ7T0hXYcLY__{1?1FcRf(
zgmd&qF6Z<^QLN-T3S$n}^_*+$ig>QMAo_6qTe+7<+*4Kb=KdCOpYhyp7We*&Huz0j
zl!PViQknLtKsyzqy?)ScPienQ+HoiC=|{WvVoa(|8^55v<N7nM_v5&I8E<>jZoT--
zC4F<6J{m<|{ie@C>ARY4A^INrvRNnEup@my|L$hos!o5err&=#aU9~{9P!Yo4f_ei
z$CH+fsVx}unh{$~=~H{=RK(KZhFn*D`mi4JtUAP?9sO&|-YD_cyE<bs@t8<lJ|sSi
zS0=VBdHz>{m@P*fmSGGo#hkAMbA{r}=Pdqboj0g3V|ziar2zLt9vmYdZvCWId?#PY
zk!s{h3v$NoBemu|H8zL3{FbqVyh<g%u8?PMo>KeCxoYHI8*;GEJ;tIt<n*mzeJ}Z$
zMV{u8ujR5C<H%i4a(F4ZoN$&gD3kg{ez!RptWU_`^Wevr-%9oS8iRHBG(Ibk!afjn
zq10h&*&)84NPVMbIPPc6+Q+!JhZ+^nIxddd7|S(MV=}ih_E2x4sXG-T8DqC{FA+S4
z3FlnYrPUj$zZ<B#)GD!-dK*e@rG8niW;_dKTwO)|2%=`MWUO7mbIaw7#{t~OQfl%N
z)~JiA-HZ6Fo<DVRA!Eb>J~KN%SU=@U?U_d{oy&2kohN1o>z8NodB2%ln-6se+6-!=
zH|r7V?D=V27dlVnUZ$|VolGsnvPryWB7cvA6ZmW{Hjd|BuyGu<AN$8rbMbHtV+QKs
z+GuJrTwsRGQLGIx8X9a+0B=XKKZmQh{NGpg|LX76_top1FcNEU0>9wMG5v8KRXLwG
zF2aH9*aUN~YYskO3fKAxzFd28?qeHTb6+<wk9$-<qk07a+`CR2{KhfbWCd;0k2b1D
zTm8Wu+AftgRD0+vY17%X?F8C*IBo4kn|smr!~OU>`e8Qxv4VctO8*>Q!u>5}Y+pvZ
zFQ-jbFg~v2dx6|@5aSa4>=MG<gg!T|A%4S%H)3JkI`$IQGZqsgOE+<T;-&c(Vww1P
zOB{72o)U;FwU;q(JN>kSF)Nm_Wfy(7oBNC>&i8U(`?#kB^5p=zbdc*yB2Es`7sT<i
zBf<Kp6von2Vj-RUF=#Ind;Q0P^|=|$cTVvBQ^b5GYrr$))j8Io=Q;ib<}erO%ge-C
zHqRHXk}KC}gBu+4CUJS2`OzKP;U4{UpT2s?eLW_go)BlxIOcQu=p`}zihh1W-@N77
z{5#qum-oMCuKJPr%_sUJkN6_*t9_%*zjIwb_<6;A=3>9tYo$gk`^)R87tYj;@Ivf$
zQbRfwVQp5FwH9@y1@&bCb>?JA#-7q4x*N4;dD#&CICbcId49H|BI6jfDX<db0(I&R
z_3F13wbX{XM-A&)jT%Zlo5_5AF|{p-8n>nv^^|%SQk!E@`{vhWZ<jhah<eze0X34^
zShNu}8)?+akS3gix>=9<nS%re=J(W7yXK5_2%x?;qt4#MoL2ucF7KoEI=7~tV*s`I
zKD?;Qx8Tu^XP#(GtzL(3=tu2NKtaavUf6<1s7YP-#9ExfCs^wtx`x5<!3u0dG-Ce~
z!`IE=sk}Z1!_Wb>@QY()BN~&?0$(^+A||2+E^;k%Q3J=hz9H&5x#l3)U>EnH)=3As
zF9*bPpEVK2eHXw4+Tk+o(Hv`NpEtCVGs0-MN3>r<OrtH6XxC4)Zxf8BtvA!=YQFQ0
zey~Ls`eY(~6GR`y(N`Jt*=_nRhd%s6UzS8=`n5)l5WRMF`luSJ@@E_V&YJI8v8P#u
zYpP6a5hsr-GUs6&J6fL4un<E5#L@&}syne|&zM$<ID13PohruXpozcP#GwcAXlKqf
z5ufLXQ?;Ktk(g~q>{<}R*NNq5VtUd~#w6mq0C9fyE6?kR`+>xN&Cld3`H=8|=N#ll
zJ94Bz4s&O6W)->9`!(}m^60?}))VB_1oF$_DQf}pO+70NAon~T@Z5qtd~}zwhP<3f
ze!ARZY$I3iT@Tjxkh{L*aJMUrCFJwROXM~Ay@fpY&Z5?k^L5C5v$LFsT40=}zEBqy
zourOXBf3&6S{x@&sT;*ioSQoGl6rC{jprfMmeVQJwxf(i)SDFQPHHm8I7B_C7M)L|
z79S*!sZV+PsfVbRKwD6^dQ-oq?_n(zPaUPEJ&5D@Xibe9N3Dz4No}R>l|ol);3{h2
z<!IUiBdLvvk&KrZxQ#z=<$f_Gf_lG&H5+z>v);qf&8&qs(Z2Y&k$c9s4b&}^M8ta9
z6lc~^FHs1wYpHwqPQBiRK`4i;P{w(9z!Hzv(0A}he>k8tKCI@xaSREF!Un8C$bVng
z^K~2cARXCwgQC2@9=bx!7b0;91vy_^_#g>i;K(&CMK)@2y|Zu;4Y-FDc!QqYTMFuO
zuNzQ|`}fCB%%)AgVIFN{Mq34;3T+n$N7^zQ6KK~WwDC@KqP^cBl=gR|A6{Yu{nCa0
z`Gq9<Y7+fcpZ<G+So(52eQHnteu0U;4x-No()SIBfqYyd9(L|$@A3f8s1Gs@CI;(e
zl9<ck;vv?K$&8nW8MBTA>%)$6F5<0ODszK0a*R0qf~UmfRmnQcL@W`fyN@#l6Stwn
zZvb&TpLm`@Tu&svN1kDBNUZlG=6ewPZsb5mazQ62+FfGL^fJfKW*of2HC`n*t}!>d
zPTbyLjK4|0-{R*8Z?o3DL%ZCi-R^N8_;R0Xen6W%WWMx>{(sCk_k=un%3AapbJXX=
z!3*X}FB#ij(O0jT1HR!p-ZIa7M;qmE{9NMiJ#zqD`M~==5}%)V-td`w&tq@o3pxCi
zzQgrz#MXC?^@DNqCu_`nuH_efhREOC>mTmrFY^POpe8M+Hn~xwET~nd;Lmv4mfH0m
z+o@yysAq+#YX>oy8mH#(ap=kz`xYyxe|FTtH1wn<KE({`V*%=9Aj(rSH^Pegxd|1i
zrNJmfU7d|r=ue$Jjs}d$A^3nE)ZaZQL@geGc>I7X^*IFBP?>tIK0C1%Stv*iZ-vna
zLpq+oocdk|?cs?T2*3tx$37gw(f=g#bw6Sejv&m%D0D+Jl*b2-eIDB}2kx-KbFO7S
zW}zMOxz-f;pfMhEAM4N&AGyaZ=zv$;x0;tUL?-Pq96xBE5ZK}%?ZyYz^>egiAKal`
zhu{(IJPh|~_W{VJ54ymhPaF_MAC<;D`s*2e*9}SZWfl0+ulML<M{J_M^XPXE#1aR;
ziHF{ZB|g5ZIKd`j<^{3S0)E8O8Dgp&2CDcX)}9e_^)Zq7+eaMc5|8$nOl<BYPTvr(
z^)QmyjU<Ne5X%+eL0m5<zK;>>--&q#j3fRd$%7l@Ln(A5H|CKe2gsEd<V;ocCVy6t
zN0NNXBd;1_I61b7T)Xs;T!bM1W|4>c$;VgZW-WM<r|L5`SIFDa=t>T+AeT>*)8=p`
zzn78cr^$B<bS3v!Qv<G13#>7mx)4u&$fHiEz1ARV#%*dxeaxYboTHvp!*ps(CN)O=
zY}IV)O*VC>34*9WZ>U9T98I7umB$=v)FTsX0VGSV6QKq*9y8N<eH!P*omA=ruB5O}
ziz`R@f8063_wn{H=Yl!bC)3_YKg8M??~-U|)WNAl)&MApq=U@mQ4B{8(DtxF_I~E!
z=zsz+B`^noD@x+}KISr*3TITn>%Gj^5rKIa1P!%N9C>?K=io9ja2Wd#ix@;98aoh=
zL>M@SJ9q~(j#CBA;ep8r!9m=_U#PL9KbGMz-k>JeJOFEP8D+Sqo>+_9u;rd7LbZW8
zZP5?AkdI!p({2=^?S{fYHQIC`p2CfGJ_u{teHlJM^+z^3&_74enEu+1s`TFml&3#e
zqcr^+f->}V7%I{C5wIf`_Mj!PVM15p<QB#dH(#)fII2WE#leyIx`a{0+E0WMdku)e
z;}}Ft=3zDQ+3-AZjS*S26SiL9y%%X)%)LarUS^EJfNXLRo3AhiUS*E}^RE%h*U3|i
zxWQcOCjEvkw`gCix=p^{p=~k!F84>yC86(q&X08uxR-~F%kU;g%RMG9(ftYUM*w+T
z>ltl}0p#{41ifJGN6x3C&nw~!e$;~U)Pz{HeaoB@p6`ea_~sDDxwJ2A-_w3*`GNPN
z!$;=Y=>CaoMDNe!4|?U%cIf(rwt@3k+5k<z5r?SqojqUVW5N$&3>|(Fx3J8oUGNwk
ze{oGH@|%9Zaa8?7{vr#ufB7>qQJGpg8fyPHA04Q#D{&F!sJXonii;>l9d3`gNWf#1
zr$)PA3N|AHuTh%%-3+}k9U<6_4BSR8%&7I{VT&ec4IQp<L)ZVPKdZk}-&3zquT}4<
zfI|4lvF;-i2e1+IF%-_IfnQwHO&q{-c%c~z;VSnLjVWl0f;h|lu0|hN;yUfI4!uwc
znY7hH{DZf&V<dW^AP&;TLs0^UY5SoliUj(k55Cby;c&!V`feU7BZ>a>z$^N95v*{4
zes{%f;$RZ~5ErXa0|~^6hV#VE06Zg>rs4;&wFD)xj(D>{4DnYV3B+Ry93eg(A&FHN
zoFH~xahh1}j5EY`7n~u^yWk9Q-x;UL16Q0RCpzFbIijmvA!i(sLjJTyGWpa32gxr7
z?0-m3V&4Pm5BA>YEB4;wEB4*x`#5lidWu80ISx{9F?J&3Cg(@i4e|xIuQTt&t83&q
zeqLq0fil=~h4BW5vYEdk`!Y2UpDytlRK}i*<QHyGcP7Ie+p^e)#ntn)BT6Fv95ofM
zsarv?$CWdTZK#gZnY<QOI7PklMonBkMIWLCUY?|mq7O>oB=vG39PuNA9EaNXa>U=`
zd>=vRgKBt1%}vHq^hI6#FtG-~4$Mb?G(%~;le7~O5Q<swf-9QB8b$HdU=D*@$ii_P
z#R0@47TXc?-`Aad-Hik!L*fjs;W0j-0LLwlx^P5qOu$k^A{}?|6E<9{zzD3se%yo^
z_tzK$u^ejM^b%IIMK>(M5#*vCZ8jVcxQ)uRX@6|MO<2?3L$DpM;Xr@P!EuzJpZX&P
z@1fC$t8foZ=-Y)*eO;G6_eD0;+-f0i!h!e*#51V**A{$7KVm5f<%zH9$VM|_E)1X1
zk61hcYhrT&9>bM*-Hp=3?+o0APF(Lq3F6!vD(0Pu{asLdD6{YYoyd;_R3cye@B$v>
z&|y?3rvi|R{^XfNo%`G;K4Z`W+5+_+vd4?h82E_S!R|5rf_LcognL4zr?emL!0{RF
zj$iP6&OQsQU+{h0K#P~uD!fIfSInvK6MbHje<=8db74OUzomv@5B{L%JLX^b2<IH;
zCAf=vxwHk+Vg8;m6zgyYH9jz>M=V~U!AI8kh{FrmeIgdH3E3$2nPX!X_TT}^=1~tZ
z9Z|S|AE^C>HpMJ##R<GZiLb;8JfPMWL5RaiJis@U`9_<g9Xv1`-dK!KY(qSfA#oZP
za0NGT8+ZS6hp)GA4VQ2h8A!o?sCmLB1i}{+F$kT}0@Y!G4_wzx7>Gdt#={*AQ4BA+
zzmtf9FZ!Y}3gI?wqQ;-a=m)i)`cC_u!A6WmbNr#5&q95E#1pmgj=o63TnH4zDf(+U
z+)y0n=+Bkt4AsvW^tT_>KI9kTU_ZvA7VZ!uVQ@nM943Ay!4_)W76^fl#M}<_hXqoI
z#R;&%d1BNTjc|w9U5Pe$NldSY8tXn1=aJ}+pTz$z^o1D`$c@3UfExQopbXN<qw%PO
z6Xe!3RKq!PZZ>K|eSXFt_P9rW2BIz0I&mX9;VZcui~cBzqvZH_*x&-WzYxvw{3df{
zbVorPxj|gQ4tK5-Z*YSdQm?UR2YbA}O0B_gRL8w5%uz59R=Azb|HBhC@Z>VrgNbN{
zZ<mN&1fU13@a!V}1YdMPB|N`C`yc=V&<JY&e-&}?Lq9Y@5j;9iUBO29pf{SK96p^R
z4{!uq;Eyrrj#j7+3w%Dyz8A8Pig;{6F#O?z@feE!@IYs{zzJ>83N6t5KkCow@6`9y
zYt(Did(?Z?G1RftG1alvIn=q-In}w<HJrzNd_ZBY(F#q`2}3X&q1cNvc#cBcvn`x4
z42!TGY8~|krD?Ag7zlr;_PmTAu%n$lFc&*<1qJ92dw3xj269o8zUz%;NI?#2(Z~NH
z7$=dB7R13s?7)3gCQf=`6*5tXIMSi^_>bZXS`ce$zP2B^XhIxL!d|>XW8!oY_8}Kd
ziQ#EDh|g$6jL$|2@}Uv`3y}eH@}diZa1rImo4)_$&>g;3Bd3O8J6@mx`8Ej&_<-i*
zq7M$^JKB+_zDUP!2y)mDYHa)iL4Ge#IgWg^CHH5m{KqFWr7lcD9G;;Dbz>0L;}VKd
zQ`*B9>UY1rMJ;O1K&-|o{6te~(nxH;S>&S$HERe$Ad!Qruc_ad4OQnZBOi6&FrH#A
zqHz`<Q0XnPi{V&?IH)yj4obfxHsFED2tpiA;t}#;nZs+)2}7Vh8xe#k96~1U;2nOW
zR4&(uhG+v<^nxeGU@GRoAIlMpFsL<jIJP1ZQU6hY-i8Ql#(JzlAeLeQ)X&GL&pwU7
z0Ca~7TB0thK&{h%aDA_E6Q_`fZ3u+Auc7FIX0U>K7WR@hxPU}#z&v<Chb;=?DQ&6N
zRxwzFp-^pZg)j6$HuhpUhNB%S;4S@j0^yjB&Zve@^m8V*U@AJG64cM=r6CwY;Q%va
z6F<?I4ri3X1LABSRNT3tGM*8S2jPdVr~(zU2QVL9P!SJ_>v+tBGfF@`Pl(1Ov_?T(
zAU`%jeIBh5zK}mAtVADF$7^!z5EjB6mUu)S?t$7XbwNqoB3E}{8k}H(Yvgk@roa&v
zxIxbEfH#~`1`ntU`>+7rQ4P7&4HMR21X`j9Zc|_O!XJH6AHS(VR}cq3^n<EVg`u8d
z9zrn2z!}!~LS4(oKB&*=jfL9FwL?KXrVbuQG!|nNIzc_tDTxo%PW2i0R74>FlhF?v
z>Y^-uQgfdp8wTRB5zF9%k?4btXoY%EYmQPd!&hqfTRg@sTtX&}Aq7cDz;5hB3?i`=
z5!mt{^=I{W>U-)n>b2@U>b>e1>R9TS>e%WW>Rjra>fGuY)U~K<vO-<7gj%=v!Z1w3
zB7{MWHHUE)YRvhFBD94KnxQj>U?zgG6B0M^5hZBfx^RIP=3)bqkd5~!O&>KucT7ew
z5^xD0QGq^g1@-$`e6bA~c!A=?MN{;}Ttwm&-l9D5)E2|A9Q$z-e^HP4>w!6l#yNaO
zRpPZ1rXd_Bk&7zCc6&_1Mr0rdRmg)5P<gQ#C-ENE<cup+4sF3{d_-09t24Z@6=$H<
zh1JQ$F7QSKPU8ct$=i;Yf{i$a*C<bpJ7N@8;SlbjFtwl&dSfo4a2je&S)SU_23}Z<
zT{w^Ts6ef0jX_v|C}cp@By(z0U3A7+EXOXK#&Z;+p4oz5uKs_oOXu=c&EXFs3u;bp
zMjf<4D|lcm7Gfh3pvK<2_=qCZQ5&dnxC8oQJk)wY)!S{@4-+oo0dk<m>0<xYXFI+&
zMLW2n2L@sUCSnGBu^20{8tV~`ZHU26#33Ggu@4FV59<Hb->dKM!Vai4cLX*f466`;
zg_whB7>A+gk8Ws>)@Y2HsEDHY$^E>8x<7TF$8ZqQ2!%hU!V6u|26a##e`v=yxQ=7k
zgY{5tJ`TOm4r=~W9BR+~HjZHzf-wUFAz%j!yraJ_;}AAt9=zZTwTE9AFNm2l*o{C;
zL^m`+DdZ4u>UsD+1Y;7qLOsVThF8RDCStJ+BjJJ?_)U!8MGDk-Hxqr(3}ui*Zk)$%
zEXQbcfGz%#Pxq0A%~0#XerSPmcuyW)fEo{1Vk}%?2Qxe(e@)ni1@MF;RIdLd=hd7y
z72%kNK~Q65Rs5z_Jb($&Sc1{$jD{$M57e2fID#!u^X!r6f+i@B@6@OVIEg(7!(0r5
zdLH9|Dlo$v>fAL*#9=M`FdqHjf+ny=QGB6hK1DW;VL!GZ1ZpgvieXUu!5#4r8lWo5
zLXFYismVEbf?K$VQ%FY=_Fy|AupX<i5=-ERxtNLRn1YEI2Q}W0!bptxU)0~J@2S_Q
z*Q)oZ_o`#4W2s}RW2<wlKnT`h3t|wDM5N*bvTz*_@fvyf3pLhMLM_<C5na$9qu`B2
zSOYZ<srEDB5+30r)E+@a)I}S(!wYK7wFK(t&G*2Bt9XUqC{KUZhuWL(iwW?@MyS2W
zQ@Dpblq61S!wG#c83Bld+Q-Po8x$tys-q2hLyc_#h(ao^;{!?%zjfgPPs~Ob)H8%L
zc#1!;A`e=kCnjM9)I9PS)IQ61R3wia&<*3T6j4aS4SYmNa<LxT!wYk;76~|uXHdDU
z#zysA(F5bK7!f#(%XouA)P$;N1rLmcKh$Rh4&V$P;XBm+QC(>0i-}l-jo611xP=@P
zq)t^vW2kv~UyQ?itVRsfx-=8F@fN>Pn)+7*>a%;!=!s#NhJ^^hR_s9vGI0%$kqfmC
zraoI+9@U_JM^6iAP~&qis5S3MOo9*QV=00VhRsm>YCEw92at?ZNMt~b?Prk%wRX<N
zRb0mn-27kE->L6i!xgA8;v&xD3{F8kyE2dhHGb?zJa%9kHX#&&SORt3>iX4vjKW~_
zh8uLWLL=Cs5=x)|@@S)1xQEM7pSwB?H6BGkwXr|EF$(?A32OdRA5~z1@ATIz+{9_9
z{@j7JScIuib15};slAALs0cIU5+iqU25Ns&t=EE~=47MM3o6bUz!C-UmKeN&<Jb!|
zzAeUN3_u4oL1mcXE%ALFYMrOXyR}$=vFHUy)Ik~iAYY#10*)XWL70i5aDy5LtDz`V
z9^S<%?8jy-!DI|T2dMp1D-_0ia{CTW;Q-W}Hvrxk0(bm_S}2X5)QcCmiepf<M2(xv
z;e+Am0S%2{g`!aVvd?i1Cy)p=o`zx(reipILCx1&pf)U__Hlnu_uk?@E<x>MB_j@M
z%w3Hom<{#$_F?D;cj#z^MzBR?l!iHe{a1V6@%0&0ExwM6$iy+IXRC*x>UA8pV;eSO
zJwl;=hGiuJumq~c`(ZxjL9JKRe%vg~gwOw?{!V>Qy+*xOy+^%Q9YY;U9a9}!okN{V
zol~7#U4yz7bxrEp_8|#s-%qXG)%cQytGI*5c#V(v0W;d5I4VG`q3XaMZO|Uw&>yNj
zRlCl@BB;-fY{Yi#M;bDr=0T5;gP%}+R}r>o3JqN`5MwbDOR*L)IEZ7o1U2u<#UGR=
zhSW1UdkA=72-Nz`533P{gUEo2&u938BE)TF)Q5UrpkjJ3)L5tHgR2n@_1PDd2RHE=
z`6xw>)Ic++-0253znqI8sI{QVv*Wmm=lF(V<f0AKGkgu|Gu|p+r(qGoupMe&=M-+>
zCDeXuG4fuGkqx2tR^2fO6EF{f2uD0paTd4m5?^6Xjj0GbG>0?P80v`$n1cYUMHKcS
z6`8mOHLkvc8e7%6v@EKk9-2edzb@#5As7d5%trv$U^8N{2Zvzb6fWR8?&CSs`t~z^
zLe<}*D1{2JLJibL1K6Vl)aND~p`!yj!yVnBp1<}%Km3b<P|urGy&r<17>42h2kLw3
zHR`qMJ)RhZ0q74kU+4u7sPUr<T;T!@YCLI$W>9ksHMZ13HB^CG%a=qE6o9&Kb^odz
zRC_$YO<aZ=gO1@S4j>MZ*Z?&qErl;s+mFXk^g~yub(h*>Y=T;-jFK?JSNc_rS*o9}
z<17rQ&!FtYW&~pq)H+Q)ms7FR1MQ*aWc6W#(okbs-hc6Thp!i)_B#@>0~@dcDt0Gf
z2zsJD)I6{*s-QT25&!Bl*pF}pC!wA*#33B3;0KjQBhVL}&;|`r6{S%CpUA^!Q1er@
zUz3Wx*oHM&3?Gbv8XMiALCtg3+OZOf;TLs4jgwDs9cPe+1gN^P9xI`0$#jgyKy-%-
zTA=}|qXN{v>~HGQC%nWxWFr#>lCT?*SdSnq!W>M+7<fTFv+0WVXou!#2=$p+Ym|pt
z0~Cf@$Eq>-Jzn7n?m_JZtIz+P!%3)hu3AGRLw&|*57hHiRhzdV92*dZ5U6KJE3gcU
zu@DR3i@BH$RpVzs?Ki7&ej27?3MT&_sPC!QsMo6ZsQ0R4sAH*Ps$;8jsB@`vs&lJr
zP}icaNnKkg)?+iaLd`dJVmA_ygrhK!flOrK3T{D-KhN+6AE4UrH&lD7c2(`G<~KD_
z4^7b;{6Z$ZGt@ljUkt@qsJ>HusQNMxYY~B+NWc-OIn`OH@#{Wb;v@25PTZ7%TCdrm
z30gzNSXZdetqg}6*VNDUEk-alK|RY;@tT5@xCAxtdyWrKV_gwqy&TkDXFW8B%7-rK
zgCQ6Xl`{(wi1kqGK(+UB7-}5M!c9Cu4!)z%e|c%eSM@BvDcZpmJuw(#Fdg%;9BPc*
z3YGgwkWlN$tGEv}UVcPA%&8q}zH9|MG(l^)pey>q3u7=9bFc`3Q1frK{@jTKsCB5s
zX<Wn&JirU&LXENNIcH(&UJ0l@T`SZ?J=jClNVU)Fg3jm;wcn*aGc*)x|5w%3DVPB@
zCNF?mH!MdGRzr=^YCW+9k=Tw{?1oxv>_;M!aTIDCPltN;dJGvjiPKQyyIMD^dVdb*
zk%bHYFVt()Yt?(yd(|=2vD7iuvDG=$xzst;xz#nOYdMT0sP(#<W5i<@b|4zt5RMH9
zLkI$)<|e8g{4f_jn2HG)jbRv!{^*6SaD|SxXn`iE2V1Cd$`Wd<DvAR5LH~V%T8lly
zeW-rEgfmd%*HIim9HOuZYoNw5f2bImhH)5%0Z`*w7dS)3pFPxCt|}@(jd5mB^St+X
z0Ts*Fa2^>*!2#^THmrvl_m*HDRE~^;nossecXWg!nxg?~qB7K2Xb$yrzUq0!8$8A>
zT*7G>I0Ti$F;HtpH9jtfA7)|_Mq)5jE$9k0A9h3wG=ds4ZBPLvPzb87e8yWm#a&#(
z1*m5$YG3v!4k8|^PDMbCsUcVnf6RjqreGXKK<(qIny2=y)SSK}1k@Z~?PoPbL)1Y{
z*q{>1p(NBeTo?uLi~9N<dH8^LP@gM$jwg5sHBR5g4XFBj85eLKs%B^66i(ncOi<%_
z8d8yhqfmAJFp_ZyYP?VU|46-7y+^%Q9YY;U9a9}!okN{Vol~7#U4yz7bxrEp)HSMW
zRoASpUEPDa7j;kS-qby+dsX+W?)@#^<1@ZNjX{4=i1sRq5>Vrjn$xKDRaMxcE*ilB
zYVOkxI#mC-!2^9T0A3i0@tBI4@WmpizE|VdT5Lunc47}yyc~gn6F7%#+`>b=Ko0Vt
zVz3~wsOEBIQ5n^tKHu3GDt_C+1!}D8f&TEqC`^QU?x)s#>hotRFG8Tkz6fkbJPzV0
zOi+2Ho=IGT+K*9V;cI+=S|9#_%1gCpS^?IuMSZBT@gJylqsr^9=#7CGhOw9ewFjie
zN>vvE5sFQS#7^wNL8yHr11F%y&r7(DyLb#Wj^^Mq)PB=nsPVJ}%EA)XsDavO09Dso
zpba#rxqN4IgWALDhk;OI?r@C8cudB0%*0$QfEtIFLDkhDgdh~_pq`zEV=Gh*-i}zr
zAs%~?fCEtLjYCl5_fe!meJ06(8qd{!+c6wR2Gr*aPvR8RSfBa-lX{POuR4Z0mO7?7
zwmOG8mpZ39x4MQjq~HjWk%WWTkA2vK-PnblQ1_|sSKYU|f7K4EJyg4>_EGJm+Do<D
zVl2dbs5Vt?tJ+w#wQBRxP<`M9)hDWNdZ9bq;0hOLXp5F;iiW6zny^77ltW1rMM3-~
zR@7LgVn?mpUgH@a;to`tU4|Ol)U)y9NJBFAV>h;AD>g#Ka1fSZA?9KRCPT&ja12I2
z^ne>WK;=qnG(#iQK@C_z<yR>bg&Fe6y)SqVm6K0#A8O8;jq_0Zrz($Akc55Mg=nap
z--s{-V+EE#jg_iKsQK|!Ou%Ri!(gbI(hJ?t8SSCw*KMF`klL4RfZ9-dPHHSwwMvbr
zWuV5?qEO@N-~Z~`H@>Rz^*z)W`w~x~YM>fxRXx0pE4YL#oP`>DRozt2cvKBdg{r5A
zplYjHE9^x);t-1+h(Q$8vs5)shhq~qU>(A+2CJdQ?*jZ6kdp6M+{f4H$%u5PkFS0@
zS;kh?I-GXY{#+ZRb+|HDD>`(QW}mf1Tj#JxYqKg<tNie+=Fs4_wrIjDt=RT&+Q{*R
z#GPNo#hak=BCL|NxEx_Cc2sX5N<}z`;+AbhIRC7a@uQQNKH5VhXY~^+ntJgu=27DI
z%ZZ||HbV>ynJ0X5{Dpt$QqiNu3i0?#kZ3h+wQw)7R@B_FK_s^e7sW1Z71qO}#j6iH
z#B{$nkz8!ANDSLA##kkZ%UchN_cc<*@km2-tae<?-gHv@Tkec_vi!WL{Oh9lH2I3~
zzJFb;b-yk8B;OMW)gFnMB~L}8moG%8E^kC`Y>uc|=%cvhnJ3B}`X(|h@<raDKf?Wb
z0sXRXLA|(bVLk7pxxQ*_QT?JtG5v5{aoweJNqyq8Qo4hG8GV&?Ies5ydHt(<Mg8X^
zOMUUo%KAzRE4^5_wf?I?Ro&}oHNB2&4Ss)WO+9;HEq&KxJN?YqI(n0Lb@fYA>gzk-
zH_&6JG}6z#ZLC|2wb%cB)Rf<u*i8SE)tujx+)|%>u$Aspv$ftexQ+huTU*_6n4|7^
z+DX6NK<F0yQ=O@=o%Khq?e&R~9rW&BJL)stJL%W9bk+yF>7svZ<*o<&b>-(ry6FK$
zJaogghrV}FPhF(;(uck8t^caoSO4YFPj{c&U%wpruRc3t0MF_M>ZkJu=~{VDeMW6B
zy?gT^`a#E``cmg%dc5;+y{OX&ePQ#FdY;`V-L33sedxE*dX?K___u+_>Yszg>DN8S
z>$mGo(C@#S!0#}hsC$i?q_3+qS$EEutc$Tz^zr6X^@xb6dSc^g`m*F{`ul&T>*o$k
z*K=!m>#c&l_1W*e^;K>&^ln>b=poN$=nd=m=-)hj^sFEs-T$DE{`!KC{@{_1-s+7H
zzZcF&AMwyfe{s%7ue;Yr|GwBqZ_&d?Pbll7J7><&k9*J1Eh@~=b9Q<2?+ttFc?r|?
zGc~8{kpa_K?@iT@HJPd(pE5;nv3;`s`P?M^(esJ=t<Mwm^t|!<<X7YL3m3=grd?z7
z`ZGrBxelY)a~+}EFBz`;RvxCG-8w`sQproN=|7mc>OlQKg8_Pp@%{BO;eGX_^xpc1
z%RTiIH$3$E7rW^-j=1abp<VO~UY+z{n~r+kITyX;B(_NZIPve5w9||KY^^UI(MmTr
zn(O<DIp`a@G|?Z-ZK&_sT2Hq;R9p8jZ1wpm)%A06Hu~70D*Dplmi&7{<@K_!OY6De
zCG<uv7VJM1*5yPq-QjV*NV=XUHYDeWDT`i+8*LwoNe^#|>)w~e(Y!MvWAt&c<8+Fs
zP$f}h4vH5GR>z1hhr`9^>@Xo72a2fYi^T=gOpy^iTAcFkC;VHwil|pD#qBk<#UuNQ
zV#>)vVt(ukt$OMy%{g<2HadHWW_Q$8+i<;*Hn{LorvlGbwy{6FIQ`v?g2wuK9gVWv
z7aP|sw;OTeP8jt!JvHWCHk0>E<>b0ew$f~1Gr9b)vkVLDDZ{=Gm47-<mHlV?$<-MF
z@^kADX}e{;9QQUt+SK16!+P$K4MrtO=MgDVb3Y~nZ8GJ?>lftB+1KPrv%B)X_hT7*
z?xoyikt?S)&Xem}{ggM#6)-i*FKCLmVQ%`p-NICNWC_#93Z+f$4wp4OajRfDf6>x(
zyJHp8mp#@di^A1R1-jQToe!`zc^<Sg?aHcS+J38^$?bXr)B21?re#r0Ojc8yn)=!|
zGqror+;qjSrKwKYe@r5*wW)!5ThrHZ?M%srqiIed&D6J@Fbx^Ok9hk!o4f*COaY7A
zn>tSGU`p=M(e%BhtEurbSCjYVPNp2^&Zc8`I-AOj?PB`-yo>3`ziy@>>24;QiteV$
zL)}gDx4N5VTyi(n{o-yqUb?GkYSpeL&+1)Ghbne8?fC0%8t~BF^e4&PbYg+K>AI7<
zY4}Gs)A}uLrbtIO)86bZrZ-+)Ov@j2HXRt)*|hd-C({szP9`nH)#UZGqv>taj;4w}
z9ZZD|v^PC}>SB6c#>Hgc(%JO3r*7&zMwll0Xr@KJPNpPZM^l5D?Mx-dwKXm2+s1Ub
zU29X8^*^R}c`Z$jXIq#aY;11IAJ)utxVD3-#Z!CJ`iLf`zdak9))r`Fnz5&W=~%D&
zrY)cAnresEG5I#EZIY&1rjosEO-mlsFu9DYZW@tW)l_J@jY<DtWokaDis{?4N~X9$
zmZqT>DwtYn<xTD5%bFr9mNAW*U&<8sxP)nO$Koc7off8Eg^HS{4>dRWr4%x)Dp%07
ze{2EMm)XB%;c7qS0r^!{_xdcozrUB4*1VGg>b{otDbJ<1+Y{OG<^y?R#9dkX-A&nH
z#x=R{`(^pi_k#5MeOAs{a9X~~&yX+YnB?lbH2Gu7QK`K;BxejeC=+k)ljS_(<<1ka
za#@@0^3>i)Ij?4fJi2z1Tw7$ltUfnX^7A@!jaQ)Daw$MYx-5}{#x9h5yUvmQ9Hz^e
zmJ?*-{1I}~<H7RQnZB~v!S1q4cqf^-RF@;CwUM*Dn#m&F8p<Y4cGBFws@!F3DH~TV
zE%%i!D%)EWkcBNi8N~}fGfot~VR#ikV-&VbHJ;VpYt(PI&B*V&##k|PvGKn3c;n@o
z?uOgfX2zItm5geazNFi|lIioSu1H^TyH<L9R{ym4r=E^WU)wnywO`?M%uPDAcg=I^
zTh>zBm(x@mmg=tA%^I!sE9<Xa_YBr1MTKj5cXnxAN+xSAEi<%~-j}q%vG=qP@7LPa
z8DF(7$z~$Dk%c%FQCdV<Sc>XXZA7EXwj!}neG$3HUfj!WDf(4)6nVp3#E!_$qQ|Z7
z;$iW=LTf!p^zj-diY*u;x@?#ve#Ci;LdkQ4N2;F~?zvdh8n8?Z>A6B!xCV&||AdI?
zcA>(u)H?C;(+2VF+GbHDDMEA#jubOS#)#Fec8Z`vabm!Qc=0@JpRntDK$w+F5>wA6
z3(o~d#o@+jV$w}ROkQwI#8y8c%+pSZ*}cz**U!$0&fXV<-_J|Jcfl1=KmVGTKI5iv
zd2w4T>2pumrachm)gBA0xlcu>OV5Q*jaMRg{2MW6-#bzLZLSzy>!WDZ=d+l(;EN~`
z{Y~6Aeu(U=`6BDdZ;|xouSot<K%e-@OrP?$Ap3xY^qN-+>xm|Fz5nha`k#=ZdiXR8
z-NvJs?p?3AzWP^jeZ++l`n}C1^>@Qd=}YRA*4I2Mtrv_eqo3_tR=;LmPOp$yPWKsD
zUVo8aULUx*f}Yll`NqkLx_KW<_6;occ0()a&i5<nS^X;OS!XKiP5-H)KiOJEzxKC^
z{&}#K-XzgVpH|RX-_y-n&st-xAHQg=&naS~KW=TKzaC+u`!BcA*X^{?D;hTX`wKSw
z9v&Ng=3N{8&rKUWn*Z;fZlizRZlf<*YNO|R+30l~Y;>!9Yu%96dO=@n{Z3PBz3qJ~
zz5Eg@eSoc%{`W`~{a2?dddG`gPxs1t;HgUd+i8{b#ak`)J-;jJFZ)&0o5oh)=NroN
zdv(j}<;IrNJvNr*=YY%Tn;(|uce|F-*B33NPcKtaZ&jv*{<KJOet*A(UhqLteU4E?
zf3nV8cO6w&k8M;)FZtF?Ul>zBFSFy1@cNuDemDOi%tw9|Axl1s#C0D;$c7x@vht01
zJL#oJaCs*77kw-&P4|VxxH}@L;7!qf^;Pk#)MatbFH6*Yaz@y<IVGwrIxeaihM4^>
zMT{zQSk$VUC_XtPh)NFe;;LP&m|8MMw0N^sj59WiK>_PUf7ej4_vb3HH+F^C?Y30p
zW-b&r-_8<ge<us~!lOmopM!<=q_-$*xQR(Y&Z3M*Yms7ZFB&J+7LES35%WKl6EBuo
zh>^AbXuTcYYE7Hn($>~LrCC==)P|WwY6V{eY0j&sYso#jYTL`!(bmWRcDmzo(5dlV
zH>Wl+u8!kEE~GWt<(KYkc|N^zuM$RqpAJTg#r=(yFMN%Up=*qFHrtKuA<0Jg>rCTY
z!#jrF>z(mq&>v%forRoVtekB5&`Mt1UQ2H2-$;J=+Cthbb&{)pca)(cy34@Ce)8cv
zFZsRf80lPnimY34maO(^fxLKku`H7qAlLW?$_i~l<lvW~vdPNzvS+o;GGu#%OtguT
zfy=hb7ms4)#wPJ{`ow+GJ^X<DnUW+u&mERs&!@=P^mOU5%_Qqg%aCQ8pORmnW=hkt
zbMoKH7i9dVOLAASD^j0uO^!~zAxr<fB^?^vl_xvjmnZu@lui0PmcR9<vPISBGW+EV
zc_-$T?9=^??C|ofOq`Y@<6q~>e|mqABjP_w?b9cDvq7G8?)60mjr%IIrhb!^$9|Vf
zJbuV}b$?2m+@Er8Y`*mD@k>5@^-I>6@msdd{Vlr<`XlEY`6KU}|CJH0f8~u?e`Uhv
zzp_ihUzvI6uk5k!uPn0ZuPi_FuiVt}uQV0m`)Pk<@W?-M$)DdcWz}!_Z|UDMV975z
z^<BPna?6*M!hg!T4}ZuFRes3OPT!^T_;2!}|5rIW_={}1I#2cw_$<w5e3E1OeU#gq
ze2_2lbLGHeIkK+rJ2|`YTRH36YuRnaD_N`9OKH2|xtwABOge9PA`cXMEZ_M&lvQut
zm*ZO8livdF$d6ZU$@!IUN>ktK@^Ro*Su{0U4tR1&elK)Uma35@(_5UA4cecPbKFnM
ztZpZzn_Gq~?|e+UH<PkLwRE|<P^x_N?1-#)JXtQ=lq9Vu9+XAf?w1n_?vtZ4<E7<_
zIJvoFtStL`yWDgzT6&C#ls(F9l_^KVW!#WWvW?jWxh!g}jCTr^C$5LcHxpOMc7IpO
z3#*q)quMfQw|lXy(%fH8obD^@&zmJT`c0Rw{3c0v-?8%Dj1ltJI4>DDXn?Hh)<-UD
z=^;y3bCXXCc9czD2w63=t-Q9grChkUsqF04Q1<<&j=Wf^ro8vmTJAh*DSNCcE6s+M
zkdGXS$Z`eE<cyu)jC|J|qtJ^d#+7BajD$KDjR&Vr7`w)#7#<e;jmmp=utW+sY`&~E
z?nNv!)&|cq++GYfJUezby2Z6IHkYq$WGpFTtoZ&Vz1@$j^swSP(n}4Vm2PvocKXx<
zv1yO83#UYt+U97VSHtOZ;xwn|s3@nXi)WlxJo(^sWO7NZg=bBzy;DnVTB$Bt=SzdN
zK8vPmYeE-kRR;xW6|L86TJ|<=$ig_ysdl2a&6K9O^*W^$zI{<!*Z-DgI{R32Z~j*M
zwK`7=fAU+)TUSWjY;GZLohvDBdzKT%D@!qEinTbBQ(c6Pu@g6M)e{ptHWv1~9Yn#R
zt;AWcwqo=?O&s~+BBK83B+RC{i?nDDvHyH;VdV4|r;832d#r|vu685E^4epCUTvc2
zU23X`%JUY*uFevZ;^v86K7QhY%_0%@eX$6;yi}xZ4-mhnuMnLb1I3EJL1MoQ7JKHb
z789F<iu?D%#D{=&BCOE{k$7&S5TiDWI^V-ZzkmplUV5A85*jI9mWme3m&S<7U$%>-
zLwAbw6R~2SZJcnOyIV{@7cXj9?iFI-K9Ra1K`g$oUo823K<uFozv_}C>Ww-i{+*L7
zMlU-oM9>kDz4E9ixhO^4o0cjZ2BwLxZPSHK1w({9GlWQx!fKjHlxlcP6uWm!{91Ng
zT(6fQmK@IzUwfYrRqve;FFa3*4%bf#J6Glhdryg`B~A;+;ipA#!f8?I^J$T3pDDtI
zXNvJbnL^*2DT<uT6p2?d#Xq+)#j<OeVqIpY`1fF@I1!pDE{@9-lmE#S8-AV^F3G3G
zs4=I-w^FCYr#+{Hhw~{>`20yxy4y)H=EMn6wAl&qZe4~b_x`wG#VX1K923tnOyd0)
zDI97@u}c`DZ{Kv$W>}i&KO$8e7?dL1+>VO6_D4k5Vuyvib4UclB#HQ8iK4mXK~eA6
zey%e?`2E-`zAoP*ij;~MX)EG{U4E?SK5D1va&o(<Z4)CtkBbtS`?iUs*Ae1;)h)uV
z^JbAfZlid&XuSvuTPrfdLq$sXYB4V?Skzq{ByNviDfYW97pH8OiFThB3;Q&GvFOKq
zQD@2=5p->a_|bT(NS-}GSR{`YPS1yl2n$a!tH!^gO2gjbYW?owyG<8yyHE#_^+*$S
zliCR3+d@ogYcGoD))zB2+lhis)rIAaDx&zf3c}@6DPc9!LgalYD8^>})Mm!N*Y3=J
zrVZ_QTf1a-QTv*lp+yfrqHQzZtEI<8X<2R8YunDR)GQL`Ytg4hYkRMHXqWG|)($<d
zsr`9ZOxyG3xzou4N1fKy2z0u<u8mW@@~MsmI%K!m;*gZ~D5_=pz@y94;|e6F*Q)y@
zJu9rJk@LHn@vwJGqud&I<7?6|qmVJnxYakn5Kf`S=L!)<+q<zwztDq5NUL<Capq}b
zzH7E|e*ax#y!i`bkLw5H`P84rQI~@9I=`Xhd$W=<yK*^M@uQ{mF|1|m{2FqEeQi1X
zN`2`yu8A!Fp_vrp|B+Ew+sU8yx-8?{LGC!xS^7Wg%5uJ^Y+Aan++2Ksoc(pM+>||3
zUfeQL=JXva&;6PpwY5`Z^(x-dEoi0;e>X>daGWn2&s`|1^j;*VJy<M5hcA^=?=F*n
zyDpcllUB%5<pSlL(Lr+hfmQO;$6%S)V72rfuttts5Gt>13X=)(Yh`}oI(g*adif-F
zgPb3>Q7-q{B+a{TmOpI5<(S9evgg(<(&)k1{yjpr+O$=A*l&}C(zeMVB2tb$8Y$~F
zh>~$@qU4v{C~4g>TH3COmQ}7s%i^VCWDyY~tBi?}J(k7D)GaY`+-@Yq$aC>AGICpt
z{I)ViKAjXJXLgQ}CaV~E^=Y&`u`^o642_mc%0<h$X;E^MSCq{A7Ad0xBW03hq!gRC
z$pMzzq-Ee%8T2heUi6BPdFfkZ1<Nhcc}%zrJFr<+&)Xz_I&6|oV>inD4I5<lW9y~c
z({<9kz&g3H(pp)mUYOk6EL8sU&l*{{)oN*FA0k)T21}nZtK_S1f%4BC#;c<%<fPE$
z^5dug>D^+PEb@DaJb8Sv%viKYR?__CzLyJR%Wl3hXV)BAIDe+x={iIHT0Tv-%$O|a
z=1q`atB;d6T}I1JUL)j`=|kmQKTjF9bfA2?q`zE0zmL2!rKdbOsJmR}>@FwP>@2;1
zc97W@o#lb8nruC`om}0hwS4fVh3vM|K^7R?MB0{YC~q9CD?1LilVRpH<%^wF<>>ZS
zvejKn={v2w^ek9L{#sK)`d77(C3hB<CmNc`b%XPb6`pxU+<+XzvF8gTpu<DsV)I+Z
zfa=-CxFY9__HQ$c1{czdVS5i54Oi|n&WwyT7C1#3ffY6xO<%7u5{#8br_ja5lryu8
zMU%%F9m)?fnjh(Eob%L-<%OCW&-c_chV(CQOe$2^C_DCTdjE?T)5EpI^sMCd>4{Ul
z(+96?n?516K>E01Ytqg{%}UMnsO`A-d4}VxgH}$LFZ6OM{dB35dsdXw(dcxi*&}W_
z#g@u*YMxzGd$Zb73u<qt#lCXTE-VsSSgCGWK+r%<%O9h;dHQJ8Z~ANf=PcJYlnc>z
z#jMl%HQJ($-xIAR)QZz`*Cc3Pz8unmd!=cMwjb9b-ezjM8(h?Uysl|y1MX<vJ0EFI
zDKE57$KPqgO`o*B2fu5ZHvZ9mwJ9iUYnlsNGYj$LZgJs$pp<a-D=YT6RuI#RR1$NJ
zRS|JBY{ZKi)rIw`nxfH2JMs5N9pSgKz6dGTNK_7MA_|mn5DxR3i`CCtio%^+i`h|a
z#ifs|huaBp(brkH9%?U~pLG;*B|3{S4c)|W=dNN&_wM3QuO8xFw_f78=p&BS>nB9f
zf5ou-1B6BVAW>tor&v>Wi0F7@sHi)CxTslWq^K4@N?0@>BeM376@Bf-i&d*8h@o#M
zid22FSh;eFIC^HPX!(1Zcw5(7oOPWcjDbGl(1@90>#$j3OrP1}PrEsyU*)-C(5t!P
z&%SxWVVtjcQfa<0Pn|CUdo2(n?=KKby!^!dY(Fuo-9k}f<3f@7a-rx{$zQ}Z_ZQ}F
z{^H+({vv#&zc@SAUpyM^FYbByi<BPzVuqu?u(0(PGYj~OsYwe(#K47O(r1q4?<aE1
z{6zSy1>)(0`Ql8w`NBQWSB$?fPt-3wPpq_`E7o+IBb<lK7TZS75(hkIiurCnqFBQj
zV(6dgV)^N5B5?6k;oW?SaKAB0RG%_Y{QNOqyqh~t6wDnXy7eC|ZYPcusf9*}0&c^E
zv3Q6ma?n%cTpc7<z8xTPzx5X_fAkgJ?|X}5cY2D}X&&O!nr@<mr@PozwTn1&#Z|=m
zbrAp7bP+#}2(i!ANvu8FR$S=NTKFAmDbCn57nkQY6=@e6iv;V2;*wWA(P>j{;dstg
z-1uBwxL8&dyX>t*bLUE;lzRm+x?5Q>wsR@r;#geR)-NjlDP33`$SENFg7dX{Exu?n
zD_4sf^h$HP|5&r=cUS9{aZOuL=b~0<VW#GG>6n&UDOJnpm!w@-wO8wszEg{SwoU6?
zWRterHdJffI#3(ld5Pw*bB-2~I6-@L#8dm8?4c#@bJl)EHrLXEYirkMSJE7YT4-Zd
z<~arSzU8#ZCf#Ysi%6%qLra{Nm+j&7<y0jnPiw=m@-8dKMDyTO?`mt)(mc)5TNZ7b
zzAJEA`uUG*(>pHTpI)T!`SihKUZi)qQNWltp|p{cYhzp((ZJ|*>K|i;Wk=&=?_Nfe
z`9qBFYbF|AYvvf|)7h7*v(jj{WVO-#+Ir(`l?bC(&ln?cUYudQF~Nx2dC0iGGu0Te
z@tE;!?rEb;_bel<>=mQh$(zQAvG)zjpHGZ8zORf;?{bV=T|XNmH-9(2Ui)p-U1%oP
z7B4KfuPP${F)t>Y`jn8<Z<mq}Tb7kW1Io)A7b?m|B`V8K!b+AIYa^#Ft0sGGt|231
zY-OitJK17=9ofgPo?P$QK)!C;Nb27k%azIYGG(lTJW;y243BRiTR66o%Z~jc1KPEb
zO?J1HGfFzjUZb4k@dKKaABF5t&slo(a*=nZwwJFLcaXCKJIbX2uCm<hPO^q)XL+Di
z7nxbeO^!Y7Cf6@;m;D=bmHW?jm9ay*$@Z_h{a*}ScQ{sG9JhBOG*m`*LN@O?=S@aR
zq_RmQqDTs<G>nX7R%Ap;vPY5eo^xJGL#4=8q#~oDp`n!D&mZ6C-simcocG*&-uHe#
z<9naWKEH2)TMyW<EjMmsx8-hQD}3I@cG9<HhXmO!a3)*!<p;Lx`e9r4%(N}rWyY30
z`^lC){K}Rs(`?IrkY&q$?`O+S)v#svjW6`Syp0`&wy}j5#yfeyhCT7sn!WdsHJfW>
zD|^6tEBn84D|S4$75n`5Eo_-fo7v9KE!npJZDOxf*~IR$uwbXSnX`TU%-A6TrtD|F
z8`+7jChW)N8`ycuOtvBiVu!o{?2>E-d(h38ts-T_zVXn29T=p~zP3b<ZC|0ozG0%x
zE^pIf$L-K$Z*O16Ub9J^y}VA1Z6mA79*R_Ej}9raPw6VK??=hAyPwLkAB)Pco3^fE
zcScFGSJy6Qli{W8r@T_^eaaH-l8xf*DyPNlbiYOHqYLXA7%s@pI>pak63)y18O+W0
z^y6grRnOD?@qcKA(@*+R<{MRgJw>0TPg0Ie@9FIH8~QPIkczGAr+Lj?^vSk%`n2~6
z?R9=g*Yw<_qgyH6NgHUsS}o;ItD+4vrS!v&oAgClKE2MFOVjK!X;=P5n)4}{%IGD~
zlw&b;4J(35eG8+%4g}Ke!`?K;){V~L9dx<UW@>VtN&BbusM&UP`o2n@%84$gPW}u3
zjYm8*Zu3uajB|t>!tF#ejF3?M62kK<o#c=x@@0_+xm96AzPT(R&Z_;m7@x;~?)_tB
zIz2Vs=%)=F;%@*WtuNqr=W5s!Vg?`1`9W>nICy;^3q}Q%L%CmU_%z@J?CKbS@oRp<
zy!AXtZqp(ZykjZaxKkGCZ&pRWb+nPu5(dh9Z;E=$x1uCpdvr+39jVp%p#56{(ctr=
zNN3X-l-L)IuJXjAwQCa*@8(n_u=^4c4#-5~hp(W}L)TEU_YEYnqZqa7m7^<*tC82+
z8uX*29%=2z=%Y*%;(mG$*&Td{>Up0a;Y-hu`tlcOCaoKpaQ36mKCjSF(`z&?`VM{E
z`5v{NpFq1BKcd)I(@62#SG4rscLe|bLPtOUK{tB;p)O|*rdBg2(@CD22~YAcpLg&w
z|C8ZoHt!Q)au*9SS?`3HeM?1{*5-?t!v3O6{_~5Ox;Mm_QFY?X@w-cyjt?c6EiIBv
zd6pE@r(`MfY}zvBkt55Qiq<QbDKgT`l1XW%Z^cSx^Zr%LQkm7vm2In;LPunnfnu`E
z4Mnod5Cb_TA6t(33CT0%>g1W(%4?W*DQlP(U)C@WY*Ap6Yz3ylr~<P~Ns*c4p~&2m
zrpUCyicIq%MW*#HMW%<K5;I&viJ2><#B5ot#Qemm#9aDGk-71?;sTFWWM-aFWZpMd
zWPamQWGdWMV7de=Fw<8nFkd#UVXC{XVV?ga&zwIh&y4>q$J7jwWBwSEWxm@X%bcr~
zVQvzWVLsWrnwe6yig{&bCG)q|N@k_EH1k2)3Z`ZKawfB98MF4|Qs$jMQp~MfQp_kW
zNv7}I5+>i2IMcsRj9JK9%)FN&%Ixr8#C&Zm!kps}W*XiVWEPwdVA^W%Gpz@BndPT>
zn31cwnL`WuewQW3f=B)jHQf4xG^&50u<PGZbNpANvv(T(*8Yf0e~cqW#V8VUeT%-$
z4I#0MFHw$cA8N_(LU=_7s*7tw;~!g5)TRfBT)vB*4pTHL!$KPz>X1bAZIoGDiTEFu
zqU={UQNrYPB>p82`G3wvUE>)jX5a#1-%m!Yk_1#AAB$%8L?I{tlgLD10rTbfqaek-
z=*|sS6u4?9TA8>7F~6H2X9pwnsY(l-<WWKA?PSoETq&eGB7(XVc^1CsCrpIzA+xdz
zs;s&Px5ZUM_Ln?(+9e5U#)Ls-S9|zfR~z1x6or|8d%(N*Dd0q>1PF5GG@ke3#^IK6
zSfi#5Tg?iPfm7;a(}WGl&<`RXw9k=Pqij;7QAQla2+136BZ=8VWWC8WxzavQz83IP
zk?zH`^w%=#A}U9VmZ?$&iS=|hhY|hodINQ>w4|niwv-{`MEmJ(ddGSn^?!1ZrW=IP
z&eW6C^HU_{h>M{smY<`iuO?Ei)v5GY>P1@nJA<Bg&Zb@ExpeQ(YgAJI2Bm&Q)F`c#
zdRA6YvF2*3_^^f^Z?2<Lm5tOhjnG@ZP4uqzJ$mHxeOh$w5jD4XLN$ik=w`om8b0=d
zRyuXl$GDf)Eg7I5yI#@i%pscoXqf()cuU*=j!-V{F&aHLPR++AsX@y}YJFjfp0N8&
zYx%y?uVvq;irIH+)AobzviwDDYG<jm#2?DuJ4f|z{-vj0{-YN-{-X>L4z_q22m84w
zC;M;=C;RVrPIizx7rUL!#a_9Bo9!6D%|6?}%`X1O&3*uQ*l&*Tu;;Jyuoc>P*!I&r
z?8}0@>~E`i*#YXjY+)T<cCR)syL&A!d(lGMIRRewjwv4Y!KXazv4uVlf_c~yOdj?t
zP9C;$6F2+6P;T~NWo~wC2N&Bagp2)HoQu7vgp;kn;AAg*z`_2xg@c`$_8+y0o~MfY
z|4}2ezqC+%j>dHVra#WlQgNeS^k@GMdN=SpP5J$eo<9DSmQR1ChAz`|L*pm<PV^%+
zah;^ca>i*{=X?75zY!Xx@Q(VTH?-B}HEp#Yq;Wf6QdP@-+NRS>Go-p{(dQR*&E0mo
zHsKk4XZ4gG<bF)2YaT9ewfofL-(7k+qlwz7Qrd8vMJM$esL<^@bc0F_tw^t?$Np8&
z2fNE?Lt`;LDtePDxEIjT!fW*PL@qT@&Y@zvGwFrYboz!~pmJj=^r&DG<yTFhzc<Fw
zAg8l5%`cL2e>_Q_{XI$_^Btz9g8np$$A@;#?xrWloavKiJ1Jk4H9elNi5~Pcp=-4n
z^v_>is&Ze0{*G0ljTZ8>nqwtZZjhwj0iv{KwE%T(<D{lvf0BHQ55zNLh%6fIAVymE
zN#L=1f|^T-4u2kbWs^o8TsljBG#ny}w>pyPH;|NuD-efOLWD1V;cdm^mH6)MW7xb&
z0!NJi*25r2277J=xFCNT+~>IkNZ&iqVI~CE3o5`_7Jv%Q_ONO=09qGE!Oz{v(Bwxp
zY!)bjUqox5J%1BC`1J{FZtH~|neU*y!!!h(f8dViTqx+G0HU^{Xr4<F{VZRB0&HZF
z;;14T4O)wWXS7hJzdn*4V4%Ce1leD-Kv#yXkeA$cbjZO0C7pIfaXB7HrQ91CRqsb}
zMS*BIEf|R$I);Xrr%(z<Bx-k!MoTMWkoBK9<h&sPtvQv5F4iQYOYc&VsL)09K`kAL
zn_fl-cV?jp*Bo@vEf<a3T}3A5`N(@+0oou^h{(uI)Ox!Z*&Z)NOv7>%{iy;8XH}sV
zcnjt9-A0l7Yti0scaZjxdh}|d0qt;Pp=cIHUQ!ed?_;A+l}+fxR5Loc<{lcgX+bv+
z-A8xg7PRGzhbTV#5i&?`MclEE(P+RE)V}2@!mHXA@Io63y73IDx;#fs-0f)Hjdrx3
z(SZ&<>_EnwU!dlu7l=cn6V0S_qV$PQG-A+&22OOLklHSEd!!3p5a>or6uQxR-EK5x
z)QvXlbt6-yZZss^jie{K&|G5|ijM3;wahMb@oOhi$nHc3j5<+3+Y7Yb@dd&?9Y|_x
z2Qsf~N86XRBh$d=NC7`XfB&_iK7%&I_IZkE!V@%HxKNK)--;;v5xPJgB6jryv@Pd8
z+Ig}C_1oP;U*+$j^06i)eVvVL>?v~khmln-3mNG(B7=MN$jPz}RkhS2d&3&!di@sa
z=cz`cyDL#fbvfesQ;IA>2?`4-Lgj^ph@-s#C4I?92ZgRJT%$a6LFEcsq@InosAM9q
zRT(H$=n}g6H4V+bNI}(QNvQkuc@)3(9Qq_4hvYiXBJ;#3blfBYv4_HurdAk=4LyQ{
zZXHDPZ~f3s0dKTL$pdK^xuUF%4yb$McBE{)74@lXLhD60qVP`uakUsA(F@w>qsuxp
zDy@Rdd*qSxxm75@a2a|wERI^EL{NzwKVmm>qOvQq@C2QLF}?5Lfr&o&V5SY~{=N%$
z{;q?~-^<|2PuC#Fn{+7pA^|=)a|Rl@?uWN^?BD?*1h2hQhKWQB_Uilq<KJ5WxqAg%
zGTZ|=gayGaA#=vQ;FT<))&E$R7dhgR(hPiT{XIOGKDA)9i;(~R$P=NXhQwgdn(SWZ
zMcjPC2%lLjDS4Pm_)rc>Ei5GXzbf+AibWpB-Y1#2pOcYi{Y0Vv9qH=$M1tyn5@Nxz
zaPQ)!V}Au{(&GgjeO`h-F<VZ@zpSEy7v<>>HD!AE&RS}&uSE?@bm<atBYG_W(lTs9
z=l_}0eY#udZ8sZQd2|O=KkGn$N4wC;P<Q&=We*M4@}UoY`q9X$02=EOM9aSi(<c#O
z6#qLxUHnhe=Ftesm$;yDsh_3e_hRUtopH2nAfB#pNuZ$PJXP3`L|Y1z>0+K#I_Hu`
z!;3D^=ua1^pjtZRcF&-`@t5hkvP`<=K^Cp=&8C6FIn;Of3eD-wr92PvXkO`6x;O3`
zwROv<9?I8g%EWd0D!+i5?z}<o{k}n6GYhGp=1tnpx=G8KMf6%@5v@=!rahMy`0|fp
zdfK{#^5m4zTW?Be{OVGgw4;<hI9W;!u9niVhEn?KaVcHdSxPHkl+v8mQu?v3lonno
zrCrBM>FI5yv`V^^9)4XypJ$cOj)k$Je-+bjS;bUMubApTETU_+7twz&Zqn|pH)$;`
zq~$7w^zpeHRC=_4Rv8q~jL7Ts&Ha3Og(IK7(z`}0_FSb3ae36HFqbmP70Tb1Ls{L~
zbboIaRe6y~`5s)RD{g1d;LLQYdh8Ol-f@wBQ@B7izob&hx)j<NnoM=HlIX>E=jpeU
z1nO;gj?VYT(cX|)$|)Q}GjgJ7nQ|0$ERUeBE~ja-Z8!}D$0%AIN+o|BrYbFg^k$qt
zZ8G(v`QN?iiQI)XM!RWew=1pQ>qN~z*wH4x?R3YmHC?-H3q5hif*z4FrDlOlD$~rM
zdcuaZ&Q_Q9Bx%um57cSZFBSS+L6L5^lB4_lS5ecr<#cJDB$ccdqX(%7wR<Q)XP@xU
z<fj}oDfKrgiuy|04o;FiJKvHg>j%gI!55@(u$2s!Hk06x2J+mvnrxpdB5sXW$<C0=
z<np={lK3u`sA-%cN*4l1`*$}o>9Ca;)G^4hrE5u0*a|W{AV7ppeZi*I?Rb1mB|gfP
zgnRm(aKwEn+>&0zk_$^|RMpwQ_|y81v7}cAc*}%<ExFm?tpo-MhhKr0wR1p!dJ#M@
zvl=>0YQU}S2xi={fpLEBFi83!ENDClS!-fp&g&#7o0<;48RWvI&Kpo~Z#n!oUIQO{
zVz}wqJ-9~W2^5KV0qY+0!;XK$P*`;wt}vg5<vV`B<J<p2>1&*5ix@AuaZCX54G1GE
z?ZwC@atZp_Dup-%R-gmSRfsP@7Tr!=gRIMy&~3IVy8lQW?Rlh$_ET*{OY{&*G(?ZR
z8OTBxp|oEcP}(h1q_W2X8S-sLH?CPByY)6m?T#%H(%OlJa_vzZrxW_(;)4FW>4tJ9
z+);&$CtAJ53-$PVBld}X=w75BdUo;vdh8#73bq9zOQj%m{qtdzUlELSJVKE<PZ)Z5
z<rpefJ%L^pg(Dm3Q|Q~7(+KyULEA1wpcd^&RR1IrDY{1?-pMFr9~g}mO+_PhpR=f>
z_biIu7=!8xW6%cfSS0Nli!4fG5uJ%e5e9K6@kktcQxu0z^u{6A`8ae&HXcnH$D>S}
zc$DZGj~;r)Bg=&lcZo+zTjNozK|Io58IKHp$D#8bamXk?4w?AJp<>NA6!I|^mE^~w
ztvh0o=bsofbtMM<Hi|(B&(ETp?q`w1STxG@i$-yyQ48~kLLQGJ(QchcB%dCEJV(x;
zwW+63&H7VF{6RQ!u{nXRJwAs18i%2?d7)_guV8e{{0NeY4MHX)5J`*&pb|cRv})yk
zbWYJ1i75D>yG!??NB?;u@On3bw|Ak*a9897oYA8%4#@b59U4G8(BqzMNW<G2DNk-e
z{oa<yx6d5?GBHJ!`5Vx!-w-KnVIb{PLp1kX50&xip#6GUXqVeMRB=KLoxPxpgbNf<
zK)D?1s9cS_N~Mv_)n$kzNurmb;;7R}6m{wfBVHi^l=+eeH576pg}%SA(D^6a+3^|1
zFehPl!8`cnzgKX?t_OBpeGZq7K7tbRccGFK3zo&!K;G(dc(JPx)_%={twNblQ#K85
z)=Ge(AR21MAA`~t55OatyWp?PZSX+42|S;y16Rc;!r|jfVfsM<`1kI2aJ!@*JiAE1
z^T=yJC-f|se!U%l(d8iG&s|1kjUwaN6~D$Y%S4tDnq$5FsfP#E0<c|n8rBu6z;b(A
zaaF+x4t+9@`96w}crR%p`c#E{P|zm<0j6Z4z?R&8yo<;T?I$rqM~Te)NMgGqo^aPB
zlL^6eQt6OGcr)@z?vo;-I#WSh7T1yy85RkbZzjD<ACj{9r{s433v&HNAJOv~A`0Ro
zWbLg9!e=^7f?H;Ymi})tmoZPQzjM-&OFUFbgP+b2LAu^tgf`t1rO`&>bWfoKMS@G|
zzrD+8+#P9p_undd3Chy3!}9c6t^zG<Qlek`RH)mS8twU@POaW+(3?G4v=?jB*2}td
z|9*X1yxx$8Oc_ynl|e%+Aw4&W=;xyw=;e768X9g&PfnT9e0vKzP`!z+;Mz=`H*cYd
z(N?sgW-G1fx2BiB+0dPww)8d6c53i%J9YT5gBrB$q`lYesBWM=wbFE;D@GjX)kH@+
zxYmibQzv@d!kG@<b*6uGTxd_G3k{laq3x!w^k=LqoosTYl~b;CtC$;oq~b<Z_1x%D
zeK*QdccXuox>56At~9sJm5N_>rDcw;^r)~aJ$1*0KC^eBM<$(Vc(615@y&@&`#RB(
zPDgrK$8jOAJJ6Xfduk(PPh+g@XvOiJwExNux~y(HJ@vqru70|W3O}-;ZjIJd{`yvW
zB+`oRb=pFO6gSgT<C|z_z6F)FGp8r#OesgsM%tonLI<0e)W-tR(0hQY7&7R^0wdbR
zZ%8@4^{HWlE=}dpp~_p<Q>j=@dJM0l2PW52elax~pru0ZSSrzZX9eoLSDy0v$}X(m
zYI?wRB|TuZf=cTxqgl(OD9?{2G`vlWuFMmqJO@Om!+IgQ?khhnDd(jhy}0QTNltnq
z;vZSwK1-OA-^se|pNT^B2jW%no~&zsLz*XE5syE;#EPer+~<2n7IC!_-=Fu0<R~SM
zPaDXg@*0vKS4lM7ONgV!4YGSSkHoRFh(yFCVu4bK$Io-*df8c0z&cHKFAE`a2ltbC
z_HOb~$evj4+(OdRnZ&h6mn>VNMs`@ski@eRWGfaR3h(A{i}e^jUf+Q&6)@IME5xQ;
zsd!{MWPuBA!Fxt!@Z#}t)|k=-)_28kjrPu##!~xsG45HlFqD^xfR6zNp!tR;aNZpQ
z4!C54o2FGjdc}S4;#EI*eQpY<iE~1^ox*T;oD@7%EenU*)S%v=F64fVVBZT%xUqf*
zY)^87;toDAOXLuot2qX}l_H_lL<|hSo&fLKrND`~ix6jLLjLu+Fbn5Hgl@u?+EO?x
zUj@t0*1*cadiY$8z(N0JSbF_F6k4bQdN$PtA9B8cPXv2l8SemO{uqQV{cqrl%29ag
z*aXzm{{)|peuit}W}x7zU(mha5B$Aq9`3r&ff&JDh<7CqD#N^Jr2{{*7#BdxjtHTs
zAHwM9;YDcVy(q#v#n5!UI0}@KKpOs%NTzW?`}%Jw@<7W`M(_&MmM@LIKU#@+##W&(
zbE{FMpe)i|EQgMY$fJXtYmnIV8syNafb=RA(alIDblqARty!#sWFD)a3nx@jn1UK=
zZBavK+}5JZ4{MR=VRbY-t&aG-*P+Ocb;w3f1No(BppLg1C|X?;MFnW0r#Cc_N4MsJ
zSF4G9S7@OjO)YdCXrYD;T1b9j`$j_x%`VeI2Y+iWJa43lBCcy9)dQNyL`@U54{M;8
zNg8Ost_F%)7+=$89SZrXj&_Brqc309A|vm$h}o`&M0C_pd7>&(8&*LnYAR^bUm2O-
zR6^zbib#Wd!TVBDK(|cRpbk5Ew829TiSCs})*doQz<xEd+qeorm6fQQR~oGwT8<nm
zmZ7~zmm(h{DHJp#fzpeXpb2|%baHMn+Lt4W8ub>TbB~14Cp#hZb6`O`aN$QzUA*Y!
zCLXk_mJ7|S<V1(&=3zw59Ng?V3uifhz^2Tv@VVkNbiDZi#;+cS83`k>c4`<(S`NaG
z8T~L|s2jFPzknvT&*1!t#}MW{fa@FYLa{aqm-IElz?XNRd+#l{^l1g`Y$$<Gt`<Ur
zh<v!+H5cyC%z`0*FTt<(Qz1`$BAl>@hrRRBP-@>9c;>-T=&>pgYWe#>pWD0Ov2S+p
zjrvw7<zWg_6OG}++VxPUUj<tIl7aC{mO}5fi=fj69#~oM6Oj9(;K{pA@L;|f<gBOy
zOubxi)%HAa9XJAtmfHeO4|TAyk{?8gwKA%QA{ZZJ#*M{ZbvBIuQ(*-bXS1S|-?E;w
zB(T_H18hcI@RbWEv3g+&9{h3*pHjb#b?sa5ngiYVaKL+P=K2$RWpR_FKf=UlyCj**
zT15`^DH1gS4bq~nPX;z3!eeDY-kI4DaV-a;DeO-A`@Bizr2t~LF@*RJg%j)ANV4H@
z4B4x6jwEy>l7u6v#6b8G@yWhSKFQ{g>p6L3_oC}$Hl&bPbrutKrE(H_u!?Y(-6pq&
z?hqH=Mlv8zh^TH8={34X#B?8!9Qjt_wBUCtzj{U{3p+@ZcNghe+Dn>AKhbo2MYu<X
zh|=CS<V5c~G6~-kw~TSp_->L+$$uj6?50Wdu`h(Ad?P2azLV1QpM-ICmPq^jA;w03
zN&LTm<ah0VWJ47P<vqnoADeN}7;bK=OSozKK^|(ioR<>JOZlAnsOA(OT_4U*g}DSM
zjufC9{s_=?e?dxn1nC_kA$sbP5S5w~qNfdnX~RijdLIkZ8#BVxMNx!~*@)0>K_c|x
zc@f%pRfOIz7oqjHMd;;QBGj)$gs#sPp)=77ZTm!Mw5bSnUnWAgz89tr<-#;7K$s3F
z3Ddp(LR9sv5M8e(L}MN;;0F&u%J?EcD^3W|OY{8n_rl!9zwy!id--U>GhXVb%}e`}
zdFbjfZmMm_P35Dw=%0t2^a(E~&1G^>?vZ&SjQ)|p^K-=N`R|3(oF&8BKS}q_?}X*|
zjZ_DJA-%!VWb6J<WWD_da#L@Dv<r=qr@bSDX1*nlw+|Ds{|3pOf|q27*-y$ldWfY<
z7wPQpAV+MU6YB-nIcCjcVt(c!sqAVYA7t+mId3)zy@rW+PXk%aRY#gsYKZ)%YO>$G
zg4{h=N_K`75sMQy$i1Wa<a<CK;daj<(w3RTOFf<N30)vsBgsUt{yd>E@g&qXhU}7z
zBB10HX_X5j^(jHb?dN_X;;@&<mhU1{a}K1<+?Fhf+f0_WY$RI08Kh24k8nC@kp1Dx
z#3EOgd}J*rHQnN5=7SL7oaZL~tN!2)!%ui<+iPs%)q!swxrdu0YOz7mO<b3mi9Z!2
zU>=X-*!q||=1Jd(<LZ>K%xghxEj`E@Ja>a7w9=K;ceS_CM1H5C<jxV}6Kx)h-rk#x
z`hp>bs*(^8@m2z+NhToSsvEeGbrh_n@jy*30~mxBfIGMv2+UBBF8vfVYxje1hVMc8
zx^H07;{U+j&%7|hMg;ceFM%&VE{D$QvQXGl36`8who6eHVG7F-THi%*2%ABU(k(FP
zye<6b;Q%#N+~C|BPbi+W4{ECiz*YD#ya2<XW7SERE*J?XYog(K$5`n8H6EItJr89T
zC&Qk!RJc{-BHVX69STichB8~SVO;(dsIh?Ge;MY(w$K82sk9Ip^%lYW*%DYUUJiZa
zD`C1yHPlhO4ON%b!o3`I@cD2(biC6DCnGQnF{SYRZ#GmfYK8_@_u%(;Ezt4s18DQ(
zA$$_p3Y&)>LwVDu@J&t|{PN)$G}mf}FZ?=S;^i0c0Pcid-Cc11yKWfvz6YKi>V@%7
z`e1l@KXi&7fKs+EVb$VSaLt2P(C^S7JS92=cV8cZ{OYe^Xz^=UBs~nTL=MB9L&NZ~
z#v8~T{09D4{suO`dIK&0djm6;y@j_F-@+W_x6pO<TlhubE%csz12Ovz{2TuUYHof5
zo&OHQsKQ}bYc>pj^}dD<9<O2l;1E1-I|Pr{55fw`L8#~Z3QAYKgaMxhpt0-#Ot$QY
zCw%(gqT{{LF{%gpM0P`)qg`<Io=!Nq@ddoQyaP78e-7UkKZ85G+ThA1PoaIoW4Oej
z75Ys)golnifN-V-zCUmeMh!GW^$kt%cMgR-Uoi9rEU0(70VXxn!GsUB&_c2X4(Q*4
zdu*%VZ_f(IK2Qdq1(ZND-y#TI3t_KC0bIW}ANulNg*ii4;D_>T7!sNZoeeW!-M5Rd
zvM3GiaZG{J^NBDlKVhK?G#>Kw#K5ilqT$kS5m5N+NqBN547Pkc0+n7KgcEE(XrH|o
zRtD^b8x35b!!J9iUA+y;?AZeM37Ny~<xHq*X$<vW>B75ynsE6SRTzC(0oqQjh7a~G
zhgv;L;H!;`pm-@iloREG`Gd3Ib@~)Y+58Sz|L6r}SDu2+8=67=P%XG{tOOhs%LBuO
z7r<%bIPmmx7_h^h;Qs3^z?54T@UC42bnSV;N8TaESYQ>S=6xh%^MER2?eZ(e{U^3G
zypew1n7n->%d#?w6`H|fCF~w&sc{M6C#G_kE64!fkGIBO&U@jYW5;l&avV<Kxq#Dq
zu3&|%B7A$>ZA^X;+?@0X>n-iXS;>Rg|K}K9Yx5PmT$sc39T(xB;V13CMM(coaWXo&
zlr(m(B+|F!$g{IbB-3Usu@KfGSqmA(!`p~>{s)P7@<yUBzKL9ovm$|Cw~@o!>_|wS
z6R~{jM(US(k_@Idsdx4x6W#%2-YbYa+ZjUC^p24+zLR9|$r<vsDUys|h$d)v40$Ub
zN7zI0q$MqZyhe#+{%sOjayo?wElDH2xfjSj`AekiN;<i`_%c~_B9p8e%pzDnhv3*N
zM6NxT42xbRpDeBs7?MvOW?d%{bp^!p$pVMyDI`bwZjwtKMT9mNllMg>gfF&~NV}Dh
zRVw9#??XB1DySe4_LW5FZzT!Lt|G-+)ubL*lWgWKvaR73=~BH-)~4PjcGI`XHnSSC
zI;Do(eNjW8a4ks#wd9^xE$ND=C9UbTq$t0Z1mCD7+Ih8PBDt329<3$L4z)y9y_Wp>
zRYShu8X_E4L+sRQ$cxU~BqjJZ$q>FxzGdGc74o-8=hbR*P^y}oi>e}e<CWxuStZ$j
zxq^s}l#?*!a&mi58F_xGl)P*zA@AQ66OQ>J!VoVag{y9o?Q(_0dese5CRRYs{L3e=
z-d!W@%~#3c%Xy@8UoPR(x<X{XWE0)eEaK>%Npb`)ljT+E<ekkWB06?~+zv}4@3~S5
zj!P!id`YD8^m#J-<s30}k0%8!u|!ufh6tXCCd}?gGN}+jHVvL6Li>)BZSO;grRx!*
z^dOL|RQ4ykPWh76Pxq3v#hzr^Y8UZ4<xF&n>`8R%c9Qbenk0VPOseM0iPk?8V)_db
z*$+l!u1AlE;`JmYYaMAgtV-Bsisa>DIbz<sl4xIEMh16EkW+$-i47JaF@Ai+U7U+Z
z2h8D|if_1Ld=lT6ev5Zl_T$!r?KmU(A=W6RnD=fiKG#)-HQrsvUQ<~(>qjcKoQuQt
z|4!jF&H(%$mn(kFwHb?Z8Q>F~iue!b670vrfgL0UStd#iEGv^stUYa>EK}_jtYn{p
z#%6P+hS}_3<MBV-jIX0s4BQdVh+bOGP%&+1%<uTd(6}xHx`bDOH9i_(V+9lVjM#$v
ze0xCh(j(wsd?Z-?_Z+bBz5tfo%?7ed3V?`H83<3Q0Rk9<odYf4&*W23^r;K{eDew<
zJsbhzxgUX=_Y63;at=7`;e@x>@xqeN0&r2O2)yGa2E%wH;o2L^U;$$##E)d4)z&po
z^??%9&{u={IqTqxUs|wcvo3s-VgOIH8AJDZ2z`}I;L(j{(0Au1xZHUQ^xtU>nHz24
z5yhSG!<;>gedGky;#^@Z!ySse^MI14yx=WipM}?X`9d@91CS>m0DgZI2>&iU40&9F
z;jg4nNbiI}(~jft@K89^A36n3wx5A3UPi#{4<eymX%t)&9}W3E&cZp(82IZ~44i3<
zg_9w1uv0Z2mh{BK{o&`Jh;#x>zLfw!Zd}OSPtQXIn?(5gQ6kI+NszZV2^ua+h8q6K
zaQtpE^cGKn*IgDOI|c6TPJ!?FQlY9&D%5mLg};uZ!r1s!IFykJ=W|ox$Au_f*f&~e
zySnh%TZdH0y>P4`e=3|^=-Zo<0!!Rd;8DpGX#Ox6t~{I!xulXI$L%DzYI73w=u3p1
z9*OYu+w(AB*LireBLV6&6QDxjIT+4+4qAG|!;81$p#OidaKIuKeu#;IrA=p{@=P>5
zAQuf|ETdqQUnD#n9Rb<v&%is|PQek+aOmrM9C~_%!B0Cvp_)N3G+KNZqM<<OxL`cp
zbUpyB`TXF)5+AtMbT2IG@PvX6yJ1MX8x%Ehf&XqgLSG(xc*uDNgazB+&(W>$!Rjrr
z!)6m?hMGZe$plW7B6y~e0ar8|!ZEfU6syyQErps;Em<8NJfsTg7A0u5dJR<nAOj1k
zSHhm4<?!=bDJVBA4lgE&!cYTY_;Y|CnjYhUu?zaf<kmTG#Q!@GjG6+1sbioseHh%o
z*bkTqFF@Y$C&0|B1)Mi0phxZwi279lrdw}<Q|VVhqI)I?mrnyFZ_k0SyeN=VeH46^
z@dG{aF5vgH6<D(q0)ZM05V%AZEITX)8rnI5=I$}ZTiM5q#bad*ncK+>9pSx<wiZ=}
z#F`;v*S;Ob5$?C@w=|w={OR?rG3JF1D`jf{%m4WWmeHOn*1f@}teOoIEE{t!EZ`=F
zUH8i13%k}~-c1b5CA%3<j5%Qb+`YKk<S@2;aT<%L#A35oiTL-~i?~-I8z<IZ!>t>N
z7C2@FE?ZZNt5aE6V4@lO=sd!w4n4zsSG#b1^8nt|J&X?xyvLL6AMxS(ued4Y7fyEm
zho8rD5<7PuQm@8OUQP*;oDvZ-xN9*v!@q>=E0H8eOqY?k&J`rVWfgJnlOdy9<q3bi
z0x4atOlpHviAd90lEtk-%$ZtbCQzHCrRx&@+xleVeM6$wW=x7715!>9SyQ-y%tmb_
zD;&*8h>Qi9eYJ_CCvPUez={lXZY5scHss-lZRD5FcJi@j2T5nxk;#kpWazB}*{A44
zj=MRNMR6`<MUgAHgx$!|`@0D1t~+t9*-dt4d61l7PqN;04-w_{BD%zj<oNC-X8hhn
zJ;$5uRPZ4USAEECv3<lWbRXIOd>`pr=}V&AeaXp-zT_VDCC-Ds#Nx9rN%`qZz&BrF
z`_7kiJ@j43Z@y&vL0{sc<x76N-$%64_K_vp`$+KvAM$UT50QQ5O;(zCllh{(q?>0i
zDRcB9mvZ-zya7)#Amm9LwLOTE&2Hkf+nxO9y^Cn=aU*j(T}ddzg;XzdCigx#lBOC5
zLXOyzb`?9asA~sF4B1Y6L~Kb_whf7pwI*M)t;otnTgbAbmgK)43-WQDIr(wIlo&Ug
zkQaZMq;EYUe!Bq4J7Y{TvJFXKg+4KD&?W1!HgTxaBJCv_grutza6*mvIjInD4JESu
z?;2utUycOF$dHd4R*@GoE6Aq&Wh7v;6!D&1Lbjh3BRf`zlK5g_vQ$Tq$kg$X2YNh2
zt&)?Bn9t*Ih2PkFb_S2MOk)r`iR(9v;%i@CW0W<3dyKnrb?0-u)cY~sIo*Pb53}*!
z=?2{DU4vD6D)6HX#dzk%b^L`V7mIja#z}Q)7z-rg5yx0;pC5tqIzq9f^8u{!ayS0q
zXotnxEwQ#4#6vafah1FhHcVQ9MSm^AEDtVxJ!Oj3;nB-lqus<JJjJYsuTojp0)tt9
z*ITf@aV%q<zWbsv(#pTFIKigj^I9I`?$TUibD`hHFPE)l7@T)vTnmh1bn#{})+SUj
z&i{G9`0FspaL)P0c<Rjq`VTDz+XJORsfQBqGFuP6F9%>~*aDPZ-VR=Ea03&4KEU21
z2o(360NS}xAm(8l$Q(-q>i^OJr_g2aTI32y;LQi^Gld|iuM`+mSAh?wYJt5;BVhib
zAmsWzz~1->eC&P-THHE-RBt!9Wi|l3ZVZ9hUvGgqa||pE`v6R?PlF3h-@u#aKf&Mj
zKLFpG2Pf<}A!KsHRC!+L^^Xtcz7T+#c|wqLuL$Ik6NL&ri{Z8?ad=ck0><5!ghyPK
zLZz`~Fzvt!STrULU0heej0daXc2!w;GD;4Lbj!nUs}$fGcSV?bNeSw-D8s)KDsY5X
z4GynZ3*RfM!)fJp@T;r_e7{%|w*1tD(cM~bb;){|7@`dy8|c9H&pI&csxDO8qzC;+
z^x%OoeJI0a0Ar#J;FUQ8=ykvl_Ou(qAL>T%?r9@v+-d~f1&pEA24i?Dz!;9D8pG#h
z#_$j|hL0W?!`JtXVI9jDIuseh<^*H-*V`B_HZX=9^G2|j7{SaVM$ksq2y(O-!g_Z@
z82;G+Ivg{AJ7)Fa@k9EscSsM0n(4tk*K}dgcOAIHL<a^%Yr{qC_0af>7W{9877PNK
zFw<TGp7U7;?E}>z|Dm<;maiK0aaM(T8&#mz8fCbDP7%(uDZt^3HPFOG9<Gy=gLMn|
z<xB8t_<8v%*jgtI(`;5ikD+C7^S-6fV?q+ry%O+vzc?)3BnCYzMIl+d2zDG0hV@N?
zFkVyux;ybfn`|C<xQ`2tigLo!k@LXd<sYD+`U{-$p8=saJ_F0Hk3e~L99T+>g13rq
zz*>z#;I^(Gl&<LpJH<Lc;*X~wrSlQERMY~xLYhDf1A~d#I$&6R8&r5!g0n)UV78(V
zm~YJoH{M+V+d?uy1ji*17MB7J3!Vohv9ZAIzetcYegasv9tQjK{lLCp575AL1OwbQ
zz_i5-1fODnVI6HSKcWI`(qw=IkOKSO2?OOgF2G~|jqyHXnDM@^jqzt0iy`V<#8{qn
zi6J-`$+&K|oAI>Qh;b-bg7L&)(0EmTnz56esPQ$9r*%#Z(v7oTmmB5L+s2c@QY?2(
z2Fv}~Zq}}%NY<YIi>$WULRJHR1Iv=<2`g{v73<BtDV9$3f2`LT0{FhCIQ}9djlXoP
z!Ml#C<7c7^o?{loipwk(?n5>hFXT(6(QfQ|VjpfS55%9JAI0f!PUDiGXzb$`hwYrs
zV-u8u|E{=*-KH|Ic6~N>2+PCS8rO06Kp}n^UV_g^RN%a8)p(IYEiTTk#}@n;H~F#g
zC-z-jA@~5l+T4omPCmt-3!dYYrWaVEy&Kzi_F?_UFL8R!5Oz#^gPpua@JZz{TsAa;
zTjM_Bdc|qHtM&`NVlaa}%YNXbC9`-@z#sgi{x7chF^@YgaFB-uoaA-|7m2UtCL79m
zNc%NjvObxQxP<T%Q#%1NvR057%n1_x`$FVZj4+Wm5g}YNBIH=!B68YPl!y<D5{;0>
zq>WRIe2x<%7x=_U%_(tWGbK*;I4mJkcb1T^q7vkwrv%wkDnZ&lNsuZPNh0DVNk(EN
ziD8)}5o(nro<ov^@lldo`6@{gzbv#(NRrk4lH^IVB$2u<Nw`l+lALV|eO5@4(IE*^
zkS#$}wo8z(`6c8^;S!Q-v4ljw7AMX@;zVgqjC?ySM%v~U6MT3vdHP0_2y780;iZd+
zChsDm?IJ>wZwiwgQ$i$8Lx^nf6(n)l0_4CWelk17N0_2~#7dQyXh0q^vxS>f?BF8)
zcASK1yYL)c!aODi{^H9U{@~SuvpDe44_t9#26HNW#mUXnILz)7e)DP)e{vbe&Cf=0
ztl>NCd3hLzO%392#xL=YlYO|Xt{WSVzrd}c?KnoG4QHA?#wt4=VlT%Qe8{dDAKOfE
zr9KPmt*pm}ziaUO_G;{RwE}<gEyV?DMYwLX0PoDYhOb%X;_lB`So%T+&eObz(;lQ?
z8K*=XG7^vP9f-kjDiVwIp2Rm>LvjA?K<skK7wZOk;tM7&xJP&=cIdFehm*~4{3eL!
zXZ7&9n;Q7=Hf3z^O$K+SEyI->Vp#T}0FH6v#4&?2tUdomSwYghtUY><SU<NmusFO*
zSc+lUEZxNOtOm2=tb2#uSRV@ztL>F6t3aBIC2_yCv3_4t<8>3o#?v{54Wma=jYL*5
zjr(6^8Oz0V8_P!XGj>)gGFt9!WN<X?W>n^fGivk_8U6{`4AU3Ij7tLbj0UX-453Y3
zj6SQkjBxasVYB)lqc4OP{M;@AYSu^qI=KQoDU<^djw;~NoCaWB(gOwZ0PtMj2oj|>
zgQ@Us;C;6}(2#QjC*AjebBVq{wBjJR&khDYcaMYO+A~0*Eedee#enCR<ALAd^Pt=`
z8JreQ1MH_4flYJ<5Yx#5V|_WGCL|BI2;>8Lp#a>IxCyM!7X!23r3?7I0th!$fg*w1
zz{<8344kh6h}{6Z##mrI&w|FgtO<n3-384uEnv@*2f$?RA+Q=~1;OP{Kv75==+b@;
zK8&=3z6G9eUbzeWt?LF7uov9F(+Bt!2f(w~mq76KD{xC~2-NR?4VL5$1N`s}C>ePR
zy1u^yT7O1B{mdxveES|Kw~PV4tZ^{wH34SjCIM&HBoI6P0Vqg(1cvz^fsMi^;FI+U
zgmX`U<ULa$zh(;D`8@@m=}v<$d#1svv(vyidm0qom<GZH(;y{%8W^5j*ms%+i<PH=
z_2d+2yEX+ft)~F}^a)r*egcL<pFn=xN09RS0}%530A%nacr7#uoNXsSdi*#jsv85j
z1MflH*HLhMegs5wjDXq&tg&YF4H$Va40v*1gUtO4=cYagf=6D0x2XeQrCvYKf7S~&
z@9F{mZ@WOvu1)}+cYtLE?ZETWGoZJi1C;4K0mDaI!N;nHU}E?__{!G;6qW9RtBfWP
zVM)QzRt)+q8$mLt2eK-6K#5Qd*fLfP<XDx!Cbk@Wu_^^B0>wazT?k$V6o4$rd=PRc
z4<y=N0bC<l;LoAU;L^`a;Oo%~!1!wlNc2epV%-T~48{Y!YcXKed=$9n7y<I^!@>Qp
zp};aG2>31b2Pac~z(WB~kbTS*FyGjNxec~JF>?zLm^1@lb(lcys1e|<(E+WK>p+XN
z3fQzs9%Kfr1ft1O;9Kcpkl7*#HuZCZYn^ip&gsvLE!?9FafyD$ztwGwYQ<(owMs1`
zU!|C#u5^VlAeYLpUwM|{zcz@mSjL(0Wr+#HR7jO!$}7f@5&B}>Ak}Q#rj=?ec*n$e
ziPt?N6U$Hfa`~(VJqy@)I3lSryoofb4Sj5^@n6Im>rrGaUI$r=58AOFT|U5y>WN^D
z>`Y{ZwOnSEDi^T6g;%n=?lrOs|J-N&TGPQ|fLE*$(=k?<@mE%u%wN{6W84cha{_q3
zmMC6#QUVXLmt**AHRe-Nz}%Zv@tlVSz7?Q@#}69f1A8I<ZoLt2U%Lr!pR>YMO}5xL
z%pTXtyWknNJEq&b@Y{}kSkb~CdzT%;zT6>r-uf8+9d{CoyGGzLzbIUF=qwgI6pL@{
zi^m5X6R;&S5v#}~;~zg#aNdJ7ERu8)ueVOe-?=X1t+z6<tW!4j{+@#c&*kEOl2@@_
z<~5wV<T_q^wg5l*bOQ%j-^3CHML7RUF<zoyirs?B@Zsy_*y3pge(|9a3v*WE@kO_=
zyZCMFFI<Cp|JGooky?DO`3~;CRENDh>an|A18(VSz^O5f_^uiY+umnkeFuz>4r08>
zmEb?m$O2ZNcp#JFXP+sSMr_;^u@EdaUh$EQyTzOEC(R}tVA_P8t($Q5LL4`1!mRa8
zI83q$<7qZdYGUK**o81><K*8I58j~o?Iwzgh6&a?L~!a4jGrCB_~#f4OYCG}-P%U%
zxu_ABx;Nm}h4uL1NFA<SQHOtRx`T85YjJ&C4Ytj>jgQ^Dg*TN{<3|NmcyUH0UKde;
zb-c>4E-b^QqNVs~e=#1(F2Y$3H*vW@A=a)fz#E*e<B#93VT**T*k^g(LY}&UcgyBr
z_slGOS|}6049&pjUS7i2j4oo3nuZU(O~Ll-k}>b$M4VHVfHf!L@k{AA+-MntM*^eq
z(bP!1+~o{D9UG3fmxSS#yTMqx;}DMS_Q!hdzBr(HFLo{Vz{YWIc&ob;Ze44Khd*z_
zJ>^#T-JVT&(_&Msa|humJ7Zk<Q4e1`xgLx2ufvAtRq!@J1)LixgSUNOflK#D;qk{}
zc&mm87ER>GA!A(F<@jIL#OfK=N<7Khz2gmw@wS(x?Ej3F|G9;weu%}g{ZP#c-c!U<
z?#X36vAD#Vu1R3c%0{vVB@eM8#@$$*4VzhG=k!^5ZfjUyG#9h33(hv`kQa>wVP%aC
zD5g<Jp4r&<Xrw`I^|FRH_m&&o;~X{GRfvpH(ph5}%~InxHSNY{SN$+vp}UAt^GKGl
zVyh0rk(e{iNjouKc<*O8W`{GD4#hH>-li~`US=|?ALTQa7MC*8!fO~!8wo?{&wa+p
z8_yUUOnMn2&t5a)ti~CPhR=-WQnQSs+8p45Ee}}iBLJEYi-5pTF)(>Z5(w>C4sL8-
z1!9!tK>QyCaQwas&_1gUqK&nH$*2ynJ!=3?tzdw>0tC|5Yy|2V=D=#+5<GI<3Qm-5
z1Lj|LfWN8^;EaPaC<}E1d(Q0!5vhB?Xo5EgKIRK}T@HYlbq7J;w?m+_><I973I%~b
z!a!fl2@o%E3V5A516037fGaXlfX6%<*m<1=k;h{|#JN~tejyG#z8DX<lh1*Phy-vX
z;5<m*o(OC-l0X_)GT7ab42m*RfS*Gu$P!5d#tTk^*@AX_i{~OZoqG`!YhD6s4VM5X
zBOR#Jrh{DN46rvX1B89g0DZQXK}^AAaOU%6a8EZAY!Au=%7vL=OJ^pi|CI?sq_RMy
zdKMTp&H_0mS>V=&ETCYxkQ0=%fZ^gSF#I_a{A$ev(b<{cymuy$RLKM??=FK!>6gL$
z#>=2*ECbk|%>Xgd86dDE9jw$&2Whu1fuXgR0RO_=qy;Vlxqu5`-QzT1BAW&d2Brd5
zT?){jO$MKIlEKuzBw&6i5&XwG4>VpSfPwGlz*2#8;D=;9IJ0u$x~z-^!%{JzNAN7T
z^D7Em7>)#ycO!r@I0MSYPlB5G6ALxU$G~uLDA=qT3_7j^fo#4&@X*H}9B27~ah`o(
zoyA^oJlqp}Epi9VPh7#GQ76Fh-5#|5*#Y8bw}F7Et>DJMX5dOK0M0Z8GyWTZnjr)i
z{ulw*I(<-nKnL7frUkB3bx^cR6@31#2nu860p}7KpmJFn*ezWKs!}AtA#O3yvhbUG
z`BDJ9WAXyAJWjCm>l{No_d6rXWQxIh^`0Sj=ru!bu9u+{(as2)f5bR>w3$&j(ZKL>
zxWy2oB@Ah~>x|aZ*^Ki87Z@$;&ohS3Ml+6-hcRNU{1}C!&Wx(?Eev-t1|z#*E#s&D
zN``K$Fay=i8p{k181ECo#`iW{G0yyP!uZ1}WPEldhjDa4jM25wS_982_lCHdiH0f#
z?MA7G2OBrbrZ+a4*ECA)e9>5G@wstx3Lh)xpcJbQDzXm$)nVNz+sLZivYqv_XE&?S
z_8`l*E}V6hCx*pVNMxBAU1arb%w}nt<g><fidhXSs#vDq@32ho5!Sxw7S=AqC#=q)
z4pzj`K9&&YYnJAzQP$NDA6QabzOpuF{$hRY`^OsP=E4socyaJb0o*PvjBCV2F$ae@
zPI)hZ(Y>X3CVd4?@?3?-<z?}Q0eO5VUJ?6fsNn0ZYFN~D9lrQh6AOE2W3NtKd=eO7
z^K2u0ZJL2k7$ICAwgGP}--zdX%y7?l3w%ppGmaOx!eFsAuHoE<Cnsz%y}tu1q}yQ;
zR|o7V;e?mobzZ2cb;U=1yWt<v?l_Cf1KWps;#Grt@T9?BTpr_%om+kIyZL>1lbRn6
zv)qr5xE#Q$9{xDXIRH0V9K>nLftY755X-b2!ULy+u&(A|toY(EF7Z8rTfZK`(T9R@
z=bK=REkZCeF9f@O2*J{8LvgfwC{8^aiZ@>k#kVR#abHy^#)YBSHzgDg2ZUl>W+?XN
z4#mMF1PAR8!Tv%a3;8D)hpGnSyuu^++tMRA^yFd8=ncX<6oc^NeTOhBHxO$)K8W=v
z1MtW{e{9b0kArv*;DfV%*zS!lhIAj+N%6tXj^4O_$zFWm{vI6b?}_CEJg{T7JKnHn
z7oNE4iVsS-;E9t?_{g9GR@Je`N~d??lg-<)<L_<wo~jKV*|rtG@ZW-~&sgG&1Pff4
zXoi2sY{a*YZor>*Bizaac>hvkJo?@M@2Swk90zsqsN#C8)}w(rPOIZ!Sv7pKQ5iq6
zR>c1^bS2<aHc=Sag%HUSWmn05XXYyuDvC%Yp-o9qKP^&JC}d4U_ANq0);lvdQK%@&
zl2lqOX(L5Zq5gZH=Y7uXbLPAEyEEs^nKL}x@7Z&w3P<g=6320?0%zfa1)NkvS<b(!
z+`YIdNzRmmIHxCHl%qQ##8F%+z-c+h$GIN#kG>fDO<i1m&<OIC-kSG`%IzAYas{vH
z;J|bGM!u77TKAa79Jx>5#5K^%MU>8Rs_BuIGOF28L<73=XwB0Ms^5}K&FkW+#?2_I
zk$Qoe&N)L1+kB~M!akbexSbxGyOC~bG^d09M)Zl67QNM@Ko?(-pb7eXbT9crR!Db|
z4?dJ6wdRuGWs$^4dk-n&*C+V{v)J=pIu=#odd`T*VwuTD0-kN3fl8?c9GSZfI%}MV
z#Rlnck8Ty57JmetUk$+G%YWe81tLi6<$R=dNfjBGE<-=sS?KO|OC-}}j|^AsKt0L(
z(aN{J$WSf_oy$Cr&S^%X&joSll;RciH#`+B`Iv<&%<|E$sABZDwG6H0sYbtb2pU><
z2Q|1fq8+;)qEp-3(2!LpI->p@wNAc5&75~g^VoaTp!6B-!(Y)e>k0I!X$tK!nL!se
z@GyhN`IyRNex~P^AcGo(nU*$D=Fro*jL0JiCb4cFGg>Ikh(yh2+CAhLZ4-G$;_pIc
z?;S-(*<YE_)lgv$KT>60c`ac)X4RNK7d4njF)c<UOq=oesl!}$TgsfH%NT7*JtlO=
z3g$$HKEwCSfLX|I#FXe5Gd0#GjOKPz=Fe^xvwSyTZf=Fl$<>I7RO9N6rx|8{>q<uX
z(kkY!jTtj%+Kkc4GiSJ-x|!FV7R-LP)r?5rYUZ}%8YZ%C4Rct<lG%UKk~!LJ$)t-|
zF};>njNx%BrYOydS;w|wL|d(xubo!RY=;%I>VXwgRcXa|Ua?|ae5{x&$ckC~&yo?M
zmdqw^OXiofB{RQb4O3#hhG~7enhDsvnyG8GV9KBcvpL(Gso?T5U~k5ZrL1D!y;#ZA
zORZ$GEEp!r6ERoLL#FjAV63mPnEBUD8S5MqX6UjpBN}MLw7MEHM#ct=3%@?I>9HQO
zG-f&T$8s6dJ)z5Vr0X#JE47)BZcS$IehsGjs~QvMyMz(^qROy#sxT{Cm6_!$lo-WW
z1xAB=p1{?30rTpNEJGV)7{ysBM#^X&L-$HB+A(vP&~j1c#baS+<B%Zp^Cv$u$~%YI
zCd|vkO8-U8B7ac8<WDrz`yK757)5h}KOuSR_vjr@KZ>mCLyqpf=)&JF<aqT7`l9s+
zUAlE21smK$q9t|6O_`v&i`D4FXgSK-P=cbaT}PfjbJ6M5nMmYf3fk6^h!O=ZA(2&4
zXzaf*l$RBZZX}#U(eDl;AFX|;^S}<Im*;?{d)A^V!Bwcwzz8jL(Lo(SD%{_@EUM&)
zp^oRg=-JR1_g(3Otu_zgo4{&VUzP(;4#vR6rbpq$Qd_uexf--THU&-=7J-T%Mj&OT
z*0lbk0G_k_GX84%7SDvsk(17=NSEk7!r2r?h9Xl)b7cv+-g1X{wRI4=x*<|<b&4qH
z3D9Zo`#$|-0nL_JOoJ_Ssos7gx`%t*sW{A<Mg`l`VjpK3Y_pqY%N?Y5y8I{%K23kb
zhET1pFnV4xiauKtM}PPv(9+ms%E?co;+0u+Urip3ExS$+X5OF`A!T%{YbBM|t))*!
z3EgtNj)pqjrTRacsDAWAx>NQsO-_753k15Tmv;}XZ+bx^q+ZkO+%^2fg+XdjGEDb1
zeWDgmM`&&P7%i<Ir^45Ma^=-u^rFQyJ@{vqDm(FTKIigsQa<r<WOezud!hoI%}Iis
ziFzT<szG6n(mxT-MHw-UpXyxBGYxT0xtav$^Fm3kY3Mx8e`E7F<?T`&<LlC#sS`4s
z@m2FVs(<HmPS(nDraa|1iINLA8*VM&XxYeflwZnov^*AaRu3)Y9CBCS<h3hs-m?@r
ztW-r#+_)lV+)|0NJ64I))vm<ZF09P?0F^o69?Be6m@<bqTbc9vmNMrNRp#{G=E~J<
zWzP0uWzN$?WzKPbWzKp>WzJ@GWlr{(633`YiL>B8C61k%66fs`Mb5M1iX1a(MUFy|
z0w>T^fwQk}A!lgiLeAf6dCpx8uAF{p0q5v<InL3IavZB1S<cMJd`_m}d=AS`hSOUl
z&53*=#c`h_#o4PlkCV4XlCx~P1V{dWIOphpb2&DCVw@r$QBKJo5zZb5VNNFy;wUHz
zaxA9!Ic{xpIA=2XIJXY)a-^1V?M9x>Qmu8<^#09X)InsDes-ClPqV*KnOCFqmDm@$
z-|!>tuzye2?HQo`2j9}?UVYSU=L>qpwue?N@1p%ePpRFD$5bV+g@*0DPs<b<X<KVO
z6+L#FM#&HwSXx7M%qnTw!!o*NV+oaPDWt$Wp9+-c&}{ik3WHMV<clP#V3<H3UWlW{
zol!JNA%ZIGJWr?KIoe)!lFBLiQuA|OH2u|X+NAG72hTdvqxWrSyU-fyZi#64DMMO*
zLzkL8UqaLVDbV%mGBnIuj6V06Lnr@ElII2=i0Gc@#5eW<`NC!sqy9poBbq|ej4qOb
z+rFep){zt(Hy~awrAX%GA)FXmfLmql@IrPLyDSE<EcPq~8q2N#tB_8xZ<{b=wrRmn
ztJcEYx%;8^yAb$g>1BA$D+l%@mBZ7Oci^f!ZSV`b4=&370@oe;192)p3LFzd7|Edi
z(+cQb`C|01R~xOHT!9RQSm?Bv8DjHUqnjfekVwmBbo#0by63zbd5RoBMx}>QoB44x
z*?1ZmWdtMd_VeiUuW+<RAqrhHibW@^;?cE@iRkBsWaPLe6<t}8fwE+>(VDNh$g@5l
zeF-l__pEN9x?iQJF0ULFuc<_PdaKcM4>sx_BFNYEHrn&x4!WX!7yUfjh`d{yQNQRz
z1T0$7o<on3U1U4z&v=SN3p!DLZZ|4R=s}_Zy{O9ZC5lq%LxKITQQ+0LD0p>0@_##k
z?EHq1z|?yb<@*7(z5a;qn0-du6ThJ7S0l)N!B-T%b_`h_{DuP0eMbtB<487q0{Q#@
zKsq~qau3Q)qHEKWXdRhC;LtDRE%6)m75ql|`hQS%*&o!WGL1YhOe3SdX|zsj2Ho60
zgZ5vYLA!5r!`(Az<2x?i&Y)`@Gsu%YgHq#X&^q@S<gGk|7IjP`?|^BvM`jvL=l(&P
z)&C&BwBP6e|8E5M{z5ZVQ>gy;BnmZ}L|%J-qQmEZpc|<Z$R>XrnP2;kYLdU9lCxt-
z-}Ni<S~iM2#=jtwo1f9B+b2}R`w^w552JeB_eimP5Orw}Ai<P(sAc92GI4&5JPKc-
z!=o?IVVz!d*|i6ap6^CEd7X%|pCXUOc2v^*7&YH%Ma^XoQFGFL^z~R1+F^4KX~{L9
zvoGt=f5{xAWlIp}XD!;AT8);NRH9`q<*0P)O;r2x20FIA2uVLFK&58a(80nSbVMWz
z4ed)uUr7q86;4JDj)`b2F&^E18jBtYMWfa5B68gyhE~ReA|<zTs5R*n>TW)UVnz-l
z4^c0aqp}wzFLOi52HVh#o&)-*Zi`A}tWfUsDx~?Eg+j3b5{g@jq;_hcacvbe{#72G
zyd{n556?yVT7pP|{)4MkCSc^*VOZJw0&di6gB|A@AgjF!zF$}f4|$})+a<A3ej*qq
zANPWa{F`7+k_jx)Rf5({e6a6fC+L&U0Y;NM0B-uiDt#Ma8hE6Tea{f!JunV?g9e->
zGmdW!Ns+-4UDEDuNpyd^65cb%iNf)4Qk;=Ms@Peiv*`wjYOE#dRriQ`Vms;F`;t^G
z9wy+)cT#s~mb^H{PpPpe9egiI`C?`13mru&cUzSPS!&YW`lWP4-+;O&o6?anh6b)$
zO&iayrG8Z#==xU<RCaPJO`GFN$(-F(cXA&sczKXc-8w?20*=w6h5=Odbr21@9ZXyJ
z&eOxI!>Cn21T`;=q~`6>)MPZ43h~F&bm;`{y8jBTmrJIqb5rQ(uT(1cI-Q2%Ogc9@
zo7QZ}r2(?nsD4{MeGzz_?p$2NJrQ3_a~(>k$;(o@b4MAS+fh#S%_?Y3ZY8}wT}3B0
z)X;>4T6*van;zpMG<PYbzic`5;O^V>t#=*WdiV}~y04zD+}uDjP43dq68EUgn|oC2
zS|b(S*+iQqnyGC~GtG6pPdS74X@>U$y6Mvc+Tiw(PBe3&-a=bXwa}eSEwqNaH#>-0
z=||62+H|p%dgZjzH#b|UW<@LAa-)^*Ol_sMXSs2gRyv{6N*lhl(2SccG+{TFinP$~
zqK91GAJQi+59qB859r6n`}DBkeY*2%Go|BAG{>rmD#kWajmP)s0Pj7zUGFZ9cWj_(
z-t{y-=nnP2P)84(zfJv5acI6Lr3xDe{h*1d?4Md%-Bd#d!mBB<sG?@$6*N5k7QL~u
zoHjkX$>q0{qHi~7y<aiS`BF&7-LKP@hxyce*)@9jVlMT1olR|)W>MXv8C110joN=n
zq4mmFX^c%0Z8?%ilVdMa#p{>oQ5;Llo1*DRYb3RM6hWt(!{{VEPknBL&=Ku()P4Lk
zb*k{E=AK8XiPRD5Re6xw*zTvjy}N1rPB$9#%9##qa-w3l?WwV<Eq6@T^gxFN<yBcp
z<M*@Zfda06<IQrKFQr5C&D3fCeieEtLV@z+%hEv3JZjc1M&tVgY5p)T^?UJ~@Vpr#
zjj!Glm9AIhKvM@faO(l_yIMzNPgjwF?Zw2&IGYU2O(N?DqsRz5n8eE+ChnZ=q<5DU
zY3Is-b4wJ-3nw8`#50Vq?5)F9Pp;s!gzb3Xnh+k^>B{yw(QdjjrJEI(iokN$FtFSH
zCOD+=4BUP_18R^o9RHyK6*D13hIY`UYBwxVInG@zormllu`upyGVD2#1NVO`hAHk<
zaBbaf_(<YD{OtGy_JsAq(>MB|Nd0Gcp>YDPW6!|;$9yQzL<q?yiJ|x}lBgWaM`l6t
zNVirA$qlQbDKQO{uBC%0SdL804bU%Sf-;suBrdfInSQZA9Abse2CYZCj5Z>RH=EF}
zASYxi>5TZ2b|5*4oyh6*9+duKA8KFfg$8`RQGC%6)Yj?8ou`kZz`rL^+P~B2`S=+$
z=^c!Go`)d9oJS8+E};0YVQ6M$1e!U25rs5HqWI}3q_QjqDQt~Je*SStCH@jp$%{vO
zOE07LvIKOrI1!<YD@ZOP2?-raMts&+k(7K2QXEV{8rM^i>Yg+tH9sAV-bqI_doqyA
zOa>Z^%S2liW}&O;S*TVv8|6i0qaEL~(WlKh$hI^G1<dB4V{3DfMMN$ds?SBczU87)
z`8@Op<e}RRdFb5kJf!B8hl&p5p+&p$kgt6n!X|m>=lndhd?Xj`=H#Np&|LIrbuLo=
zor6+}a?mn|9Q0!>8@=cDr7WL~GIO%fe~YtFN?In;nwyE1`DdWK-gH!Gl#ZB)G!)R4
zigwDUqPg2rP-x6m)XhmobBB_Uxj+&+ta1fW!$hQNo`9&;WfW=|kCK^7NN#x?;**a>
zUNh0i>tz%Ys*FS~+~;`AJ^~$+2}fHxFCdfX^GMSy6xn_WM$Q`N&=s#B6qR!dMYZ{(
zsIg<HQ_v3u%N#+Svfk*sxEB(b*@x`j?LnP%C;A@kimIKqqwUgL(aZx!^!m6x(pb0w
z%~Y>L$?L6<P`3q2c3y=JcR`f1&J-nA8=_E!6)51;QdHBSg*?>MQOyxm)Lo^7geK%s
z=rUP!WVaNWjT1-KSOk^y32?t3Ui3<D25xlw0k4FNz`m>@m|fimog2I1l}C@EcUu$m
zZs8tpYp8~jm8DQGJ0GfF%z!?JufX6<F)&K+0t}N2fccLOK(jN>ux%;#-0llgcpyv@
z${NVQf!6}iT>c9%In@d-zbgi#n<Bye%Z@-kZ5|K`$Y$}>{%5L}ww7&SGsI3lV~CS)
z9>p@-Q?bZuf<>fW;Qt={!iM^D$+b~M5|_S|I6{V8YqljK7CVSY(LvHP6F@o^T_Crs
zqsc4tL^4*NMz$K~k)e!YV*C3R5x2o)PE0-ddiOrD_}oUW^FJd`=Jk<-5`$#d>?dOS
z`WvaZIYlgv{3SM*_^8cW0oto6LI?KGrDhqDw6{f?27Q&Ka-s`qkdhJ&*HEFd8cQgz
zq6XC!(x%~`bZPtD<#g(jKJ9ffqDRF|X~Atko%S%)eR>rwh_awl5|-5bqBRYgTt|ak
zY^iz0MjA0|Pi@T{X~Z!nIyZAGeL|gS^J5qKq|=o?dF)PK&|UOa#vW>W)Pr7U_S5UX
zJgG&o7d>cqh%SEbO>KP-)1j|N=+oW4bk2Q0dU4S)YH{c|U0i&EE`H@tm+}Nqb9t^N
zUhOo!yf}~+NC(lTNiN#X(1NRHY0#E)RD~~?`ZxvC6<NV_??5mWR1KlJ&LOlqB7~M#
zgiyt2A$0tE2(=LorHb;Q^zh<PYOWqilT}0MNx4w^QGkoDA@pPixBSfz8gf2_j&2U2
zQ;H$<#+zU&mL5!X9l4Y@m>%7Fj(TOBrBgj;sF%PQnywW@%U5yvT6dZjSf8RztN=Qt
ze3AzJIzeq79H-$?$EeMkqcr@hFFkPSKkhR>LIcZv=yN@9YIN-&#dE!AptmQ@uir<F
zL_FxK^?T@-pj}*hD|eduz?JsAcA<u!o$1|?tu*hw6BT~uNQF6@Xv0-Iy3cz9{bXW8
zW2e^ABe$$*?(Q{olduKNEnG!w%otkI258I{Q(DqxL^U@U&{?WSUDTG*!xwa@#~V%R
zVW3V+&Mc<-jf<!hpAwBh3u(QN9Q~LgLlx`i(d4({H1v-sos|@(NL7H^FXf}h_WmUo
z_x&Ok?&IX;#t~9zG)#U=y(3FLz97eIyU5lvZA5<610pfmK#mttlDVatjQzPuo~9R)
zL#$lFYEL7PyRVSQudyU6Ac8FX7fkN*pCJ1MyhsX<E76*=Be9>jMwl;*$lv>#M5}5c
zIiEF`D9HT7{-1}iLSrko%)W&`oJ+=2j{>mqbt_CR&%;|55%zHS5_Y_Wk!dj}kY%m-
zo|PxA33m9nfQ?S!V7M<EIBzDPxUv&`pZ)@xllkBRHA(m@R}mhR(T2zTjbTQs1zaF$
z2NNt^;K2j?;q_B~aPjFgP_g;~%*l;{9%1oNYF9F}(#wGL<GIkKv=El;xCwJ-D`CkM
z3<Ff|z&DwVa9pwl+Mj5LEp1(JM*an?-}VOH2p@#WMIWKd?NQizcN{k0DOj2_13PZ>
zpvuK_P{&yTw7gpgom(u5-h0kPOY$Yqk{9#PZ2=j?uPcilST8`Ywl74xJrt4Jer3eJ
zQw9C8Ta5k~tDz2Q4HWr76TPq0M)D_g(W~Xl(DK*I5&!uWh^1nH?pGM1L}ZK#i3u9g
zV<Fo#fH>0-nL05jBWEQV8eD~zDVrmUjTUH`-)i(UdJQtoutZz)tdM+`HHy5n7G?Uc
zL#v(EqvKr1DXdW&lzGDz9dh5m<!>WOytWa&H?>2r>g~{SGkf%{!X5#|O=$YmCS=*Z
z3C)vtKt9e6NFl}n+0{BAfgT40zBr(7KOK<TB$sl-8=rH59nf$bH_g=nNh&*_s_sol
zGISGC)8OKcJz8jIj|4jH(C|h(^q_7ds#4#GvO_kYhuyXaF0w_h-EB}y;(D~AVI2}2
zT#I~WtdZSZYxF_d3R%vxM9%zckn@-Yvg<HMdN<6F`sr23a`j4-^ba9e1CixkfF266
z(1$z|6m4pZX6_my4Qm4g8&)7oBRv$HwG8#~E=9raI>^653w@u}K;PG>qvGHtNRq9J
zoQD^oVhLp=sjrBtY!{-aoeNN(w=8;iR0dfdlR`;{B~kVsaa6oX3_WCtpm_>HD0`A0
zRkiUUkj=wA6FUQY_WgqYK2AVwk1-h6^%<t1VYoJ>AO0QbgVL}UJ`3uCJ8(OE^rZzp
zTF?x4tZaa%TsW}yzgp;Ut^%f9EQRl)3!!#o9{duV3AK-<zze$*;Yyo0=&(Ezex7>)
z>UW%hLLtYXrtU%b=J8JGa&Qau;IV}*3Fc66u?h4k(S_d)Rbdia7Is20=udgz<gpPT
zdh|KC=X(!4{_iI6^-TfSj-3a2lWt(;JR|U#B?4M|@36i#Y-4@gWnrp%cBJ-~QXISK
z(>wNohK2aRw>5Z@&j+iVj>3WcS$NW<3J;uofb$Dp;mNu&tniMPL_ZTF_Vu!)K0}2_
z9o8Y^D~!m;p_L>jdM(LOb0CLHT?o?fAo_7Wq<i=TanU<RScVtK?xu_6oLwwg({`C`
zvrHx(<!R)EbT+9xbdB7{g=F_k30ZA&i^zLallNhm9Ll^+mKQgWL&Z(xeda^5JNz-Z
zzxOGrH0&lDC!dq$H(wEc=eI=S#{ju~eweTXKa*{NqvYGbH`2HA2dTO^MY8YzA?lN}
zq#>Gz8p!g|eOKpDMp}TDh6&P???O~$n+SbeDN6qd&84YZ#p&sE33}~?B>gEVMSabr
z>HPgN6rZ0@J=0{VXt5kkEnh%I%jBtN{z4j-pg=DLC{o{TN>p^2GIjf{Oat#MqGo|A
zw0wmsC9k-$@VUjbS78Zlzqy3E12q~%)u_3#IxQ$rr{NMBbmWKzZM&~Q&Ez!cdUs7a
zlCDWrIyET|j}{Ho(4zTkw5Xr67H#y<qU8s)s4kb<Y}2As7FyIvjT@fTq;gL*X;X?O
zwb`Lb%VoH2G-*&-Zo4{?8q}yrof<(d?x|5DOEv0wdkMX_d<k{Dx|q)YtxD%RsZz%R
z6*~XhB5Gu`h(14}OuytQ(bOl3^yd!+`cGPcvUL_xS13<=Rxh9{E#>IlRkGB<U_KRI
zBt!qsk)~@0=g~(TN%|;Og06KDr)w9@rJwsm>DnX_dTO08jhzsrr&0yzdB{&=yZC79
z0bW`)@{eTyogvNwe~2aT6tNqhAlbd&h=27cnGX9*g6%$#@1jE_`p!F2?e&@@iM%8}
zxjh8xcM-eVC*+RNWAeJ_AxV;LCU&Rq5{2h=1TLdw=2R_-Zm1;lc*;pOC?Wob3W<91
zHR8j`CJ$ex6ZIcg$p@h;WUpL2Nm7X+AJi_A5VZ^B<f33At{XtMO8S!HBL@iU-Y#-K
z-kBWVzKO6D){)!K%*gL(Q<At!kFY*#kXH%HL=DIi$(M7<w*Y>kz4RCUx$6Udcew}0
z-EGE>W7XJKDIXizCgRk9P~79_fmh<yc)z+TZZMc-HyBX1z@;PXw09k~Pa_6RDlaW&
z$r&cHt{;EK3c4=_rsy)zn`8%?oR0v%vk@Tw?o|-@vk>qs#9&1CAuwCo3wRfP1S8{9
zK(B8O46YV~*&#A8%2E;f|6T(1@^zv28bess1);$9)o{3dJ=6mZFe=d*>b=_u*DUgc
ze>NV5MLx&jxu8JEXBGl8YA!&I`bBswIvO7P6bGM}CBVheN$_BM3Op#B0Zm~xJh(d#
zE;w5Nzg{kaU(-t<Uq%^xak&B>J5vo4cCz7O6ABme)<KJV^)Mme9?Vc{h8c|y;L`1_
zaA*HxxOmqSXwuOEn^@h@JfQ~;zUzgz)Luca9k1cwg|~3$wSIWCW)PZi-oxwFAK=d1
zPcS0n3tYT)6uwX#gU!#r!C#@{@Yj+bkgxV9<Xbrf=hpm!PgMWFo#&?E^`|rN`ux8z
zV#7Zej(AY~Lmo7;i5I0k<wfzfe5kRG52@(RLFCdL6#jJ%DqqWwWK;MN8Q@3dngXcN
zLjZ}T380`B0VFprfJS8m5$_5?<YXy`MjZqZbrwW}Tx@X^L<_70(NcXulp!mKcKr}Q
z7at2C@hk!K+e-j#T`qv+zwo2gdHiT>GndZJL9ATv`oU}tQtRPE3lH$2y6?Pbp+7HL
z{(}cC^x;A8IRD`O#J{j-=PX>bXa=t8_ybb|e#3S1e?g=CNf@U66JE-lfU6|OA@=(Q
zpFjKxd1ObS+qN(8dCVv1hCe{h7w=*J*dP?0>4%fEZ(-Zd*YLpLD>!oh1?<gv4o7^S
z!Og5L==S3&6fJ6pWt$&!!!2-r>;tH++zeCm@4?e*4NxSl4!R0+;N2q_YPHqCJhdvA
za`YDbL2g3jKR2L^Q4y5cUjSX>^WeYgY`C&31AhLT3fImg!#JTUuxIXN=sGtJ{wEj>
z|Ne=9J3e24=et8-(y=peuklH^cf=Q3rXPaStM|cq@7!UwzcUOLaD>jWwoqNd3PxRA
z1*2w6;X-eHc%@4RE@Y{}b4g0jdrTGzSWCi($->b2Juk$2Cc);3k3c2(6=)Q02LrJU
zz;9j^P>C-9VG=1|GCB&hNuLH~;=6!~m=zEe*8%hAOMq1CVOGz7w^+*VCs;ptL|H%T
zCrz5IQ)&kWOxZlu@oe1L%+`MThyAm20ru50#Qpm=;&suU*llAl&bN-mfd*-KM4}Mq
zzplb%84cX@HthTP1-^8082gToW9<45*YygJzTaY`Zk{xWQkEzFDvOAooI2^_)g^iZ
zD@bsy2`N6ykYKc$^nF@OuEcC4dP_Ew=^M_ZPs5$qCGI88;|GYp<zW&Pc9aa`lcef(
z5IOTZm_!7fCv+-|j2^m3cJ@ROFBnU9Ub#e?hA)#Q{VT-gXfn|)Ng-yh(nup;CXrp7
zP0~zriLB){vVLs=akJp=;TRN?H2D(ZH(5$}9+i={q+6tMTO|>bs3uOF8dAQKO;mqj
zQV>B2ulQ{ucCn6({JKNPt_C7@`!1OhZzPwuHj!Hi&BUwuJ_#CqK;*<)$lOJ(<f!H&
zVxs<-EM3q>y#BS3roMLKRQ`mRpL|Mo8h4Nv!yP0eu9KWu+C|RPb&+FM-6W!+n>;ai
zModzk5jydVL|FBZh^QVyn|p}OWDikQdQQAp&&lAr=Y-llCww+s3ZIj9mFL81x`((w
z?jgL1Tx{wg={!ATu<#javU)~zpLY|pUEPHDbr*4W=psR+leo)w65hid#EJcs1Wi35
zWcd@KvZI}p1+|gDq{qZB{}Ca@twgq<g~(ogNZQUlAhNse6IqjHLU@}9Z}UBJ;M`r(
ztKUGJUfdzQ0d*uu@-~Ujq(oMY5V0IK37=m}dV{OU$WSHWSzSR!u9TCJcQ=WdMkyhC
zZV>n6BGTS?ofLe^CpN;@xZ}trHu~A50A>>RmFdI}q;mPXO8k_PNF#qDX&jCxe)r;t
zaY_uCIuJ!v4KI@L$uM%D<~$iW5<;BTo+V!Sr-;|D<0NQ}FDVH1CgsGF9R09|49;~Y
z-224|pP3WcVrx%++1rqe4OYZ-wK>UHfyl81CWP~A1zFIoOD+~`kf8uoVr!{LEQIAq
z!ozvw-~}<#%m@<OF&?sU)fCQ38o^N?`muoVb1WJ77*F56i|0+(;u+&oEa;PqLvoVw
zysl`xoj-&tI{V<J``fUp=4#v&z7$V=lEu7^Jb3P@XY4IIZm>Jz&$9V1XtQ@%6x25S
zSZ933qrx;<R*$88ErhjJrIZyH+{60Eb#(9RBMTf4=z?pT%)veNEnv}*7r?P+fcm^h
zkYtw#g3o1w>1&0+nNtC#8#y5APBW0a@dSYI7eK&i5JX9E9So95Fss7@1HSUZ*<ukW
z<t71Z_+_9}{sQO%m7qtHDlD<qfatakMA~{#Khh9RyfK9(It=viGKcl)me8tk9X$DF
z0}L761gpO}!JJ`dSpUQodX(;h$$=iwWz_-L{rwOWN<9K|4UfXvx)bmda|&9Q1VKZ=
zV0f)O1U_~=4^u}jz@O*BVZYc#C>kFLQ|CrQ&yW}x_B9r&Y`Fy6D&pY*p#*5QH4)0D
zUxDSlNzhp0DlA}9VDIi!D0VgtHYTJ)+3XA`do2_8W@SOugluSjCI?>Ll?%;b9!wX#
z26elxL8rug$h)Bc8viMPBRSV$uUR1!>n?<TyNjUlP!W{fRSXYw6hmI-2AoR20o{Mx
zfT~s{&?&kEPPLRkF`iObu)GwyZ|34iDGUlJg#*#0Fg~^v`h}OmH2+elva=M9tSp7H
zGNrKmT?s5GD1ifeO5mhy2_$!KK(qZfU>eU2n4ee-%N7+w&)g!oNT~>>#udW(zpq12
z*X!_FO#yr?Q~-ZE=0o2r*Wjurd2kV59=x<X7jAaUftL<vL($MI$a5(ZmR-q!I*I9U
zeN-AWKAj3j_NKt~R#zd9N-}I5zXC~pB5VswfI8Nfq3GXB(DzmxbaRV^{k$=dhpQ(L
zMUjxFEduttgu}9T7r1lDd8qR`1U}y!49mjKK%O0^;fUHvI5}_(uD|LF#a17N<lRA7
z;O_~8_&lI-*e>Yw*A+S)*$$1LZGr2J9AW%LI~e}V1_mjtg-4y&KpJBPmr?}H-<d+y
ze}=F?ZUs!&S_*j$wP3l48f-FBful<mq3)su&_+xKs!mA2-e;mPy-E-c#_+-2jWb~5
z{vQDR`vTN24}xN)SKwi8CkR$;1rJm20y}X6sse9;HN%DA&&F&JS)L3cCF4MmPZ)R<
zdkXBZ@B+1C+rZm&YaqPd7<?LE0$MYrz*SowFg)>^<-d)?n!cOD8u9UAxgFACmCZJp
zZiyc?@$FEoeLmV#JHKlMTbuVdyKW|(-Pd2ojw*i3zIcNNC-_NW3!NqS`V&L!wcip?
zeQ?4~&iims)p2ZjCKSWuC~TLXfWh@NyfGsWgYX-;*rO5`8&TXhc^7{xZNXVvIxzU!
zi|bCk!(j3Q7VsFu{tc5jN&GJsF5n|d-2a=m4@Jl`?jZlR%p(S?=943Z3y8F^A~~{a
z5edDyn3Q~1Cs&thlTWTo$)->}qM2ntj+7gd+*%enQiX^?!7B18+JbyKU`cAhTJm>x
zJ-N%?K>qHxC$++k<Vdy?(bU~W-V|*o$%?MTKGdB=_w6DYx_ilC?|lU2coL6?UR;B^
zLqu`HhrIc5gmi!MCEXoI$(z#SL^05xd}IQM;@Bx7loUuxmY*Rt_$+Zy3?_M9!Negf
zgb3@0k{?~6<gV{|a#!#I`H^&itX&jF9%YA-{}jTBYg{;SoDL`2dm@NPLj-xZ;37%!
zx=36rFA|xb7s*}yNOEd_Bw3jlNt9_M5qTL&WG1)}h$3s}MUnIKqsUvSD6&I1iU|LT
zB+uSOlE3#N$=a+)a`$K?`Okt|Unr8~J-A4;LM{?v<BLS;T?EMuiy%kTBgoa;;Y7(k
zoXqxykpTBF()#KGX?40la+}W+O@s3!G&z*i{0t!__8}x7H<%2+I!CI!&XVF!K}2C!
zAQ5aiMJ%-f$n+_HqIdT=shT-T`j+_-yUqWRDj)9JCCHluha4nV0uPXd-up@2CJ&OO
zyN6tv-bpszb0Z7S?I0Zn+sVRLTgjS0C-O(ikzC2PC&OwR$--<KQY6KdzXGku^4F`$
z9}{zOB77xz&<=^WB#VIc#>DxQ0kOQMN2Z&X66bzxQv6eceCJam>Y}Q|UsRdw<yRmd
zrsPP-dl|C5Z65I{7bkb3MTvrk5YaQ?Cw6?iB<;#H-mLf&d!~NHVG<uPPhdY*dG`{V
zt?I_SiEX%i;6Aol)_{ZlBiN?25>E}5;BdJDY-5#$%@1G2w-Vy9ZFM9T?+nG?pP$6V
zf`{<1z8fyyW{>+$Szz^aL)=HyadD3v_MZ^O;i{8t)g3R{s%dxF;qUU;O}Y{6itpRl
zTk}-dg56JRk4ae9emqHxW4<3X%~bke8oFASwW)nK%QY>U<w~!!-ZkH4U8wD2#l=ps
z)HFrFpHp(+#2qyNe&~ZWie^B-U;_v?*$%3-_k%3aqhQ;Mv*1W;7_eRx146wLKulo@
z5bDbUn*<7gka`J7Hmv|NE7<_D>Oi(eBS;c#0X{F=fqHH?xU=IWuoHL(6!PAKVEr$k
z^VT<TXUQbEabX%{dh@{D;&WhTp#YqNgrP-~D4era9Nw>&gu4x-VNu$A_~(xtEZV#f
zMsjtynIDwldv#TKd;1cYd0rj9&)0+!b=q+CV_o>FV;QV$)8p3Fhhv3?@NBp-T;gg9
zmuUi6I1Hh9CId}vR>7yA&EVEh3z#Xn1{Nk*!r!9SFfm{)-0*50++bt_ZwK4LC5;>4
z?>`&iA#HoOWWy%7!NUQr_H~4>{5Es%#d3m~PFvu8qpeUvWE=d`xeYE)aE9B~Zigqv
zw!=NKF7S%#4p>*T13GKE!r>HG_~4%_JmKmFvr62c_cu2vpz977Zg+<rr`_SU1b28Y
z%N?G`c88KlTzZb1zSAB4G31t+;g+RtaM;HUUYYL(qbgjXouw-jXx#z(tarf9S{E3l
z>;eT&Z-)yXJHu}>&alsM8{8AN6&9CmfqiXGaC%@f6!_{0)yEv5!0;xh-enK_YV2TV
z+(uZua|0Y!w}k=&>tSEgI=IGSEsW~7f>oz1p||iFC=h1>J4MZ5=h;=z`7;Bf>=67`
z2q6C-Q~1r&1cERlC~(IB+KsJ%N%DG75G{k2TXbQtr#6)I(}Z=$)nSz15;*Ot3Zu3z
zf?$;r>{C{N3x6%(@+%AbQf1(tJyI}ui6q?fdM=z!5QUv<grVf90Ia$^2M+7=!kbrS
z!Oyy1;M(g6Fn{7JSoQA{IL-SWcuv0sWg{;^{<CLbeeF|_7WW9m@463ybnb%k5f11r
zss&T-6@XW~6in4z2f8k~V01Da3|>kGJJm0PTh-AZ!Xg})KL`dFll;NcWN%P$c{f-V
zz7-rlX$w~GGY7BijKLp69WXq95g7g<4gPcrfoHpav)(QkWS#1G%=#Qx%W~bA!@4FO
z#oC{9fc4IpVXb{7!RlVnY+AI!#nfuW5|iu-q1t0D>9s@Q6Sb<*8f>p+j%=^eAa<|d
z6?S|<F+1O=o^5uso82b)nVshLkKJh_ilchx<4zY9T->IEeT<Cp-WW5y{n>gvF5!e@
zfIDv4d;kl&`{A5zf%tq@D3*?lz@>*`u!H4gyiY0_$39ELt(UT~l0`n&A1=aDAvf{i
zd6n4eN-aj>96Wov9>00rh{uf{;x}g=<4v5W*m|U!TlWQS(0+|e4g2vkz4zE)(I@=q
z-w6KE^$q_``+*&te&NqE(^xs>AI?hPB^{1)NQa03QKN$7#9m>tW{xP4%n&1b%f(4{
ztpte%^T^3cDI%pVLqcQclh&`Yq+#6x5}P7Vg!{RBK8qDesf!XRjZ`MW6^qE#Co06?
zy()1SUrZiNE+MDJ)yR(b>g3ZC4KiDyNtB|sNP{bPzE;yAR|j>-Y^pA?UbmDqd|66b
z!<Uga^2>>4-f}X#SdY9((Iex6E67Lh6-4Uc3Zkf}Pqy#ZCpp*kiQ-#*GA?02ZkQO5
zJ5C1VwU+@|al(KIa_541Tw6qcPXqE{lL4vL=cb7mkmz20l9a7arro(zMxRtStl+k_
zf`ss{Ac9GH1gh$h@7#U`l$Vo-amxt&wUn%ISxUMpbjb`?UhlHeAuA%a32e|JAI3Dv
zodufY151NMJE)Tzd(_DIp(RA{@M7X~K$WQPP$7EOi->@ZGFQK;MATm@5Ky#`c>gC)
z>Q*cudY@#;aQb|%&vzN(JSs(oqvw%2HAx~+BTghO<`RKsQ8H{PLi%nCamx#mstkVO
zJ!cNtvyYef2LHofmd)Vj?Z0rC=TE$O;ydm?@fBYh{fx_Ye86FM2C?VDcbLb!4{xsO
z#ct!>*jKv)uiDy%-A=b)ovY1wed%3H2-nSPJ;CvHHF%`D0>>BJ#BG;~@#bUPTkjon
zv5Iyk7W<Qed+%St1F`W~#UTcpiC@HK&FAsaiL+R4i$8WMJB-u+?ZYNEZg_FD6aM<Z
z7XSLY8b=sFyk)08z8<cHO^O%c7cH{b<kMVC`T6l~W|DpU;1GLtawl7&v4Q<+tc<-|
zF_Zm%Z8W=k=qOuh?Iw0^#Zq>+x-dJ+s-^a!eQ0e^>u8OINVW01Y&FwurYWYw0dGt#
zY@}I3(1f*1VmoU|(`i=n%{Z3Omu!}YLIo?v^d2kJyo)t!G{mx&{mByf&IeB0i-CLD
zGN6A*5f~|}10LIDV7<37Xyjg7qZ4igo}bwW=6h`csg`a)RB9i%_rx3YoH+*8DFy=3
zEg@i$bQtJ=a1m@i5d#_(;z3$%B6z<3DroCS13Hdb;L?L!;AUI^`mYv&ux}+G)vO#W
z3ate5IW<8069$grx4{?9dQfJ352Tqk1D@p%LH~kBVAWI`nE&W0@J#Fi{hNBgbDkG~
zyVnBpSG@r`E$_gkb%P*~yaywTJ_6%_&%nKD1eEiSfdSTcP~biR3Qqh4#=%p7_snnL
z?lTRh>}J8yCI7&k<2-P$BQLbq;)6FP`JhJq94HmS4_g=ks4*r0Po@jP!xlnN|BVpW
zhEN!e&k=!EF(O<8AW^6pAqs{5h{BrvVo<+T47O^`h5Bdb!k9KLl@o^n&f@URWpU`y
zEDnXn#o?v}5>Uug0>;=$K$o2oP{~UIYI;k+O$Q`k16RJ*+#mr<3?*QI47bdvI81I3
zhaY3aVaaB3SR=)4qjfIK4V(*IH0Q!lZhuN%VsQ4aD4dNGg$?qeur*x-D#?pL;W%Nq
zZ&nBzcnZNI4+Wu;x*%ju3BZX5{P4&;eki<o4vdZEgXiz@!rJdV@UH?76g=}6MB^Fo
z`r{vPL;N?$(VPO+#y`P#(+M!W{5uF<I0ia@kAUp<&!98)BT#T12L94RAgR6|D0sXD
zduRH<yqK3DM5-5Tk9`KL{&fPY15d&D{Wf5~=n)V+{17NqHG|jR?g4wv2B7Fv2a-=x
zpqR)8$%WOxrKSSZbIQPBP6?>5Dgrh61t2#r4}|)0cPH#JfRuVF5c-(}KGr7yp|DFp
z$|?rT&RztXm0=)sPbiR3I1BE3odl6(zM%5+LGWJL11wqZ1}YA11uw(xfkoyzU~$s|
zoMA(-g<}Ys@ltT?mO8M_R|eM;<-n73l3=lyFv!@*3m&-sV0~LK%!=xG&gzS7VL6*|
zSW(|gS$cU{tj^8xtn7awtnl3jSR?msSv)3sto#Bgme}ggredorOfM(<n*M$|YZ8CP
z*|^&OL5)(ymRfdoUaiRJ%UZ|tBJ2zP8tg?5tJycD-PtlEfDP26*bCoYWuJ&EU=J^?
zVprh?_7$Ucc1Pwb_NyNs*^w(J*_wnGOK%Xy0UZ)J*G?8&-%-RR>Pzs)v)VYPO%E$d
zo8X!a41RNRHBL@mheM0(@NB6Q7Rq<Qxv{(Okwg1&EA+;izkRW0u|E!7AB4xg1mncg
z^Eh&UIPQ>(#0wjuan+tUEbu2DS4Adb?|I2sFD?b!%}M88X`PAfy0WpJULJmUE+5}{
zcpdu-72~9pCD_O7CKik;$JMzNSfjiO->9s?$)#*;l|k^0P!87ERfp^K>v7j)0~V~j
zhqv!-!YxAg@%Fq2SkSNqch$CX^B-fyoHmREp5T^UPr2=MVEc(q%rzjuR&LL5eQ*!1
zNqvs>ulHij!WY;&<0XC@_6p~D^x?NAukpn6YusJ?2J3si#X_R*a82$z{APJS?k?-c
zSJemb`M3f6X=DHgm=9vjh(WxmaS&hqF^Gi~hOo8q5T0E#guB-car1{TvwR3^Ne*Fy
zVQzlqApU!F5KHR};@qwQyy@5gZWS89`!4t6BlG(4#QAsJcHiPs+qd{_<{NIE*Emn@
zHGaFbkE?Ebg?FUA#GgvJ{8snkeHG7f?zJAgDf$^c;?<33Q5Ux6@5I(kPq}N9Cs;|l
z9a}$sjJrJ_VWnR!_(<?W-1_f6*7tA5n+6-P=DK@WD6aueOx(erR@UK9K^#0$MR3Ug
zn>*%O?4eVQrB+vBDaTv5#-$9q>?p;XoNnMxRz+BI#dYi<m5-B0a<O7VHcpPo#50@I
zvAs+xj&4iF)gf2#$rTA$<M}0A9}tVjWukF?(M5cc6^^U#p2uBlL$Gb!8N4Md0DB!f
zhRvOi;1~J_@e7`P*!;mxeCvV>K8Cj7C!g%`;shIf(8vm3Z!^O$c0<fJYJ|`D>EVPi
zZG6#74Hv#v#$)#KSe_$|?=KO@zr%#^*7v;laPTiST0Y7?`MjU4aju75z4#H^r=gy0
z=UUCqo+x5Rhh?%q%uitZ<b<=2?(k>pp4!D8xVoNAxL%dw-zu=fh56aP_P(s;qouXm
zmYuEbTcB2}b2z?+=XRp;y`dK-l4zZ&bz!{er>k|Q(#JoWI;M-U;@&T2IVb|wDV9B}
zcJ)5i4#U%|)j}6pkslLSuNpF0MX^P!4x1|0`>8tC{e*|C4U4*1$J1W3ehYkLE!jKH
z8Y`P&b^Ff&6VbvzKUo}fCrbkqy8w8cQUWDA76TVUP0;#J7tG#U0VV>CL4Xzn-S<}k
z50^Ed<?UK7-N21+0!rFjz}qw1!L$2rAaBkdu-14#h}(J)D0>|SKfL{b%$^fKdHpHy
zNaYNuJRS_xHiv>p?F(S_R2Ue$69HDAiv*D%8r=UJ19o5G>a<Ma!N&H>AZuqL$Qr%^
zHhLz5qSseJ<;GNSyDAMFm(Bpo4rT%ib{5z&n++B)x!|R59@vm|4cu<b2k+k&faBxW
zfy7K97e(Oycrl24cLVS@mjG5yDL8)gCXi>!!0|t2;Nq=v@Z0?sSi)BU3NtH!seUCm
zOSphl;N`6<@O4o&5Wi3jOy5<5gGM!A>zNvmd8Y=9O>&`G3kvOOfw)gCSQf$!$8zcA
zTCgjo7G#{Q1*TryxJ@lMySNs-{8j^o*fqe`zXt4FRs+tws0OxYtHCjaYVhl36<Esc
zZ|?0%U}IVd!iy?EkW>XYdh`}(YApwHid=Y<fu_8hK=oxQ&=n~K@heKedixu|ZC^3)
zJz50%PZo05EZ2eGp#m`AoDX<cT?48Ld0_Nw4&bfJ23(^pAZC>b3TD$m_^mWh?v@JL
zc~d}dPBQ2PNkFwV5x8$j0LH!Xz-j9xAoe&G5GDrj7DRyop-3RMF9I~uFd#Pf0x;el
z3P!Smf!N(MfES$xq{ttPh#dn1`~CxymEOQ_>HrWk*ar^m-VFvWxB;iU?cgYT3kYv^
z05*>{0{U=0ICIAeB$Qf!UkNM0Ek6J#S7#|FuMe8uE(KmWT42;w4LC`wfb>QM(Da`i
zXqS@)a#$RgZxI2bU-&`LSsw6W!7tVs?J<_E$uR5J%Gaz2^KRBH<`Ij}_#Vqdi?D2E
zZ?Pi&U1wb%%4B_QzQTHv6V1967|N<FKgv3>e>ba0-k#;%&akpVbXaQ)7qEs0_*sU_
z-kY+oHkdB@n{N8|`w`RHd77pVZ&4GA_1BG0pRljVs+p>>9kZ<U8V##$?<%gP1#Pvu
z9^Y#%Pl>VxS17SxcP?i?+-J@%e(S)NT)USYm3E9h>mAAt;E86>MklhZ#WUDf!}8g&
zUrX6XY--p{avi(0tC=l4r=9Jf-orl6dc)3JIn3T~_?0cAFv-3-G0Xn>h7X^nf><P0
z6#v^Qfn8;#@#$7s{O`m<94D`g-`!HhDdy_fwOI>aSiKaptM%|rWkc+E)&xK91lUt)
zC4TN=jvJ%b;P47-tomp@Hh!@IH@>pRZJmyI^PMfYEYlh59NmFc7<W7}wF~za@5Skx
z_G6n52XMIGAuKlPgBxA{!v}8r;WWwPm~iES12F+OzxFit>k7hQ{b#YKUob8^6oN0g
zhhl7V9_y^QfcwS6a6i|`M~5AbaYzKdWPK5r@kQeKgo}ew*i$MR<BDkPW*dVyzly=@
z_r+qf_pvy9XB=*S5{JdmCA>c45`I2;347Ya<J2qh*ta(xubY1v-&=nfuR3uVm!)0C
ze)uvDYrl+B`z~Y0!OQsO02eR0;YXM8y6Vf=DETt>_2tI7a`y!ZZeC|RK7A=3ud<HE
zjuV%#YuY8uhFo;S;eUJMaOy}b*8VRRyMB(rJv(FYwMWs|(;yl@z7&N|e~843KqU4I
zxrkGnBJfSV2<(c&@lWqCyeQ=YzHsL})_xm`MgD|fZOIUPVNo!C>u?r7a|yybww}g$
zYXk89W&U`r&~g0tnIC?Z`XAQXd>Au4-ncc-3+qEqT+`%%XRY_(2F^~LtLcXIBVF*}
z!EM;ZWDA}+>xi$`+vC_@8}KJB8$4mZ7MC2h#8MY5utvfv{P8NnE=epL5M_+5Pa5C`
zS3MjHmSP79ZS3$y9UBxc#tugoVd3S9IB$3XK9x2f8`wzU^WVksjwDg6WhjK7wamf$
z+<5Tb&fjeRcjIiIPhZ&8pNH5<?_aa$z3gH8v^-%eR6JxCC*EZ%_))fxO%;2dLMb;t
zpIv<;lU;o%nJuVxi4A)q*glcLY##1s0lNb%U^_xbn@q?J!z0pjkfV(<G7e@TZaVri
z>Wz*_pGR+($0G-uOmuhO4P+S1M%U7t(0q0W3hR7>CP%-Z10uhXkMtZyBS(aJvwR+N
zl_SSE*eEk1&()ZF`*fMWaeao{CNnB-##~RgVs`0lVC313Oo!EWCaQBMW4U`jGc)SV
z)C3-7j)<J%`usS@_)4E=HoAl}+BuO7|A!dn-ST+m_VGj}g_F!2=S$<ZpUEtX&tZh0
zUt@-p3z>#}H<*l)n@qs?EoKX>X7q#E%-jc*`6zyeY1(p^$w_Zwf(9Ni+jSl>#=h;$
zJaz{&GTY5OwCZK@qhB$>oo^Vog#!%O{hpa$_>uWG`h|IHJjN6Sjx!hT{bY8F{AN}<
z%>2*LdH4g_hEX_#Pzs?GC8a1S4XO7&iYO^cB&4FGl$8*Yz4zXG@4ffldwuP__ulpS
zBi`ThJm;MEx^^vz`M2w*1q*YYpN*NWn#=6f<6z2v&-w^bxtL&O9_IJc`HY!AFY}+w
zB1UzLkEy&Oz^qy#$b>csF@H}kVJ@+XFgLT7G5gg-nd;YK%<9mUO!$^n%$yks#=>z8
zb6a%Q>C?83sXZ&rNY2~9L>9;}teUf|&ySm!yHRq?L4~bM{q1ecI#+onT0()D+q09o
zY{oG67l6?yQ)C*o_b}4mm6+Isy$pw<Ds$!GKIWm98gp1mooOCC$ZW9EVB!T1GxKIW
zS$6tIna6*$8LhNqOzYm`%*N+>Ok#im!!2vbTpd5jJheT|XfHKp+8fU>n@*cB$!w;~
z{G9WQ;{h|~`J0Q(u`qL{bF1a7hscUab-K*(uDHTnYqw=yn%FbPxg418LPuun;cHC#
zCue3+j0>Zf<jQ=taAS&gyEA9`J(y*WJ(%$-PsY#3i`lK`&3u#gVTynIFebyk%<@z}
zX2RN^@mCID_6P<t-=79DCAC4!Isafr^h5|VDHF;B{0n82#=@8%>ETT2l?cXEHIflq
z62(lth++a8q8a6&80P26Sf*@K9CMyEo>?&&&rD|}FhTZ-%wDx5=9fq^Q~o-cxzL=#
ztPD+MW{lF9;4SHl3VR0gdpd)u$jxNT9J3hlgW1e~qB%^+yBtQfEtmNdp2t+4&1Wud
zFJM;9D`almC}ctlikN-Q#mrxg5~gZpDRb##DI?KY#@vi5XTnS?nEeWs%s=ibruudj
zV_sa%tahzoZXKy*!X@e$wJ&wdoSu57CbogGFl%JiFip(u1<g#vy=LY>SqsDB(aO|n
zw=tHI?TqC2cIHlB2NRjl$*7xmF|3N+Ox>a$#_C}Yv$nFAx$D)(MCtZ32c-rWwqFBG
z{oo*Dojk;>vl?dZ?HOUB1xA@ePez%!HDgSJ?>KW=e}a+PFv;BiGs(n^Ofed1(+s=K
z4AZ#xKgLGr1|$9a2J@iqCKDTQi_tW^&2Y%xVVdULWv-0hW!7ijV;<VxXX5rfU=A;R
z$Z)=T$TT-TVr+vSGaF7nVIFOM%EYrhV~$KcW9H>NXIielVC)XOWMr1VVjjPF#U!-6
zX0*cIFkENeGOb(RG4>qqnT`LwXP)GJU=p1^GDi=6Vz^g)X4>9=X0En>VPqq}GEYsu
zF-fzx3vI3+49~3}Onc!^#^L%eX49<G^qKe{Ci&AJMyKm9Ge71ZW4v_^A!!bYaInx<
z3l<umVWHyPtmL1^O6U05NXdzf#2&NJ&x3Pm_FJZMF?I^}VJEZq?4+v4L95z1=&v*<
z-HhO*>ff9cZZeN7hUd`%c`lMn<sw!tZn|sDP4zdqDO#C_E*J8UhTwdXzCNEgp3SF+
znhR#}jSDDVoR{qUc}eRNFKs-rkhr@R(o>m5)E>QvlK(9t$Mbx2Y>bcOcJdQ%20y*z
z5uolX0+fD7fUc`9CjFAdw0(&n@w*Aq+ZTe=uO&p;4MOC;T9{4-3DeH6!X$KR34QEY
zLc^PuQhwZ0@@5qw<BKAMNf8pEW%M;`8IAKUr(*l%<bQuTol_GfrE*acTP8+7J;Z4G
zwHTG_tf1iL6=b${C8>t4q*Xsw(qAKSy4f#I)mv6kc;YIuV3(i+77`>mBSEaYSJU0x
z)l|>7hN2zU(B(&KNMqJJCtW2;9Aazfq4!#9ez%t5kFO)UwsoW>Ekzq6q=@^s6g{2w
zzqJoZQ}Xup<e0Laj?LRZa@HG&_vQwAsU$<)1u~Srcq3hR-bngSH_~=ZS>msirMD|L
zQNQ0N%Ko^C+zmF<$<EERQ$~)2qUGr0UpX2!-9q`JTgY2sD;cM6CGgBT;IC|>ueZ0+
zxXN}aF5XW5!t!*^Ri2by$dj1X4*EH30G*alpz=Tk3jU%%W+!)&YR^tuwP_dqjon2z
zSs1D|V<>!rA&XgC;DIb6NnQ}EJ?QQ|Q2l;IiY`;6%Obl;!(%r|zurw8I(z70(;jM;
zRHFD0C9?ajL|R75w6R~AxVP-3rwMzheXa^6o2!uHv<e+lR3*7wRpRB_M=u@rQTM}r
zl&-#?u2=3SeNi>q?yW}r@6_n6?g8p=JwVw~>f|1-PA7k<)6Q9stI*Iv`nc^74JRL>
zd`=DWw$dQu8yW;9O%f^4q^|;pY5dw@Dt>a9{56iyxtb%Sv{H-2{Iuxj2Q8Y`KT72t
zM=5xNHkn0flj>h>T4kz3e@Ara=8j`jopy}Expm3HMwbrU)+I@m<HTBgobC$gQN4>E
zML*Z0%SZG{qh6n+B@Boo(10F(HlSw16BOTlg6w1sNh{WnHnN-~ZnKm0bo?Z>?>a@v
znWxBc!D%{XcbeqxohIJ>M)b1Oh`N^=Q@Xn`U4Lav`r2n`d(#=>mpn^vgU?d`x3iRe
z+JxNuOlG~g=V)ibITD&{N*^zo((sfi<>Neg=bR_wMHdJT7f9sc1^RlxjK(X>sCfBB
z^7pz(=iXi<CEZIT)_RG4t~00UFmo#ZX->gsEXZuof>gIz(yC-j`paQOH!ZEG`adfQ
z-(yV{`POtm;4(>GyG*Q4F4NsZHdJ42L(wa)&}H8%r19YjN$cAZM~5vvTyICsk#-dS
z$ByjI*^}0YJ#E}^mAKQc(o-%6YQOA2$+sNHaj)a7yU>y3gq(=i#fe@%bE59U*C@U2
z8eL!IO!@)NwEeR)@f%*Jw_Vq%f1?X!$GFg*Ij&T))s;jqxKcopEBzRAB~uPJn%e0`
z%9d_amf=P#{&S<C`R?><w>w?1b*Gs;cT&0QP8IwfB)-psLYzG4Pl*RzeC$CtmUz;>
zL!MOS=1CIOo)q@dlm3Z$k@-<Cy5-|VYK>l0^WKZrtnsD@J#S(O_9n}AZ@Tk!)^)tz
zhw4uG(Ar2Jit6<twm&{(z1f%UnfTJ7cwd^8HINjWAH~S~5&I=SvPt!$2a|rJ$>mQ?
z<WK7_`%_%DKXKmjC)<Sq^hh~?j$93(mcjs%c@RJef`P<!Adu{@2hx-BKsx#?klL07
zk?i3hO7aXMp1L4%coRg=#DhuaSTJ??2h--3U`qKEObgb9kkg3}dJ!5zx?LgE^&^C~
zYz(C|<4{@{6H3klq4ersDCuntqn`6&v@I!&GRDG)k0YF1c81d%i*Pc?2&cZ8aFU-N
zL0P*aNWeCN-0~vm-JJ+B<d38Q)ksosilm&9ND_P;Nghk0=)=J%I^`BcLse0<>tz(>
ziA9s}(P;AWiKb5t(PZ>KnnqT~5b4EGK~M}WZI2<JuQBvRI+o6yilwoLSW@hbrJ~=l
zv}|)6`I*Ggx41Ym8IGd~)_B?@A5SG0<4H6%o&qN0>BqbTGNlBXvQ8l7>;x*inLsNR
zCQ^`cBK@*Yqzi?KG;=?ZR0NZ#LM@5JuP0GRc@q73nnV|uCDRSfWZLJMOjWhXB=IJh
z!o*YPpH2#y`=`*Y<`h!<ltMLYQ)$hKREh{qC6=yKviy-scVyB?-8hZvqSI*YKpI8;
zOCz?e>12IAo$e*3)1k3+YGBVGsht@VW067Z85v|VlR*!7GD&lHCN*8jr1g236n7_+
zIQg^4RyB(rIcCw3k}PU@ltnU2vMJ$UHgUOSlYLb-J$aE$N5yieO)H0FeR3$NA%}S0
z=a9qdTzYmqmvn-1siQ4-7R!-KDbjhg;8Y$tMdZ<oo;=e1okv}p@@b1nKBdLw)576=
za%L@{SKA9n?_vS<q!iG$$pXrlS4ezRNG{fe^d_s23~m-uA8!%KD;H6geGv&17LnWi
zB6_#Dm<-j5X~4Od6v~S!=V>tsE-N7q%@X?HQ9`F`OK9kI3GEUur97Qd680}8ujW$v
z^s$tT)|SzTK^akK85MMv(b6Af<Reo~UyRD>OmsPo^_P?4zj7+tQbEhkSCC&~1$`T>
zAQSdVnoy{uJr<Qzl3q!oGnEv;Q$;@%tH|_96;0(<k@B4?D&woB6{^(~<XBC=imU0u
zqiUKFt|66!HB{kRL*i966!M~m{)pDnMXg%8;ayAn8fvNPT`fthuA{Kyb@VT=j?CNY
z=+>7yQj@Nynv?akCZe7qdg_VgcRg8dYM?u38%RB_f$D}DXf10aMQv{+wu_Bqozh76
zCK~C`ye66j;*pef6UAgT5&O+1vf*u}2TIMPY2Qpu1<kbnelx`_ZXr&!7P572p+{vc
zbmVCZwTQHmjAkn(c(f8%Z7bQoZlxzH+vuoH8@2hhk!*7tC4Foop0(}dV9-v_LfT2E
zvz<D=x6@{s4oWfVpasz#<ka6mFaCCr?v_sKGVP=-iJg=-+DQx9yU1Cgi(Z*`kzRTi
z^-OosHlA+EQ0ykYE8XOh+f8q7cas5M5A~_^ki26LWfk|3z@r{=6YiyV>b+#>+DikK
zy`=D>mvTh=NKmVfJiPnpLwz5ede=uo68*I6ct7O@_LFd1KY4xWr%zG?WOQ<XM#2Y(
zdIqTA*8nZuG)O*Y2kA@fAe|W+q%oEuQrtd7MP@^^EM<uNCWh!6=P;Qt!!%(vOnb71
zspQ5miSmw6fYJ#4up1%Mf)Sd!H$uvbN2zT8D6McFrJ%A=`t@X#E{KfLjK&zLc#Kg+
z%@~Ql9;1+z<Mc;+oG$u}(~YKa+V^pssw5{!!eD~JLMG^6#{`*wpP*YCCP~d`l4_zR
zX-)qmMf{y4mMv3cX*xxB5~fIfbc*WcPSaY2X^JwRCbslxvYwu%d)za0NO6W5Y-UI*
zcZOna&k#G`e`KTbA3bpRk2H(_qo#-d(R$$<6sLZJI9+d$ZRHJm^nBJ*FM5+&j@%>}
z@0*lRf0MZ0-JJCp-=ZhFx9Di#Eoy7MMY3ORQIgbc;yHPn9KvtYv+moZ^XoQs$ljsN
zXYWu->>XM#bcdW+?$V2GcS+amE_Ef}r7aV8DUI_UEoAPIv(-I%m3fc!Zrr1u1@~#2
z(tXOXyH9)t_sQkneR?DCfDHCOpuTGlNWSa=Wj%R70wNE|P2(ZGbAL#NH4kav)k9KP
z`G|6~ACaKnBl2i^L?1ppqEnKOX-NMu?FxBJc^!{Q`1@n>+VF%voqj?_QBP>3?+MZ0
zCsZK!l$M%4C7*<+^kw8JotgWL#&$d-Me}D=l=h64O+O<)?&tIk&&kB*IZfm|r#-iy
zQ^}$iB&za)0vuk@kD?c3`tSu!3B4p`^_NuU@{(3mzNDb%FX`9vS9IaXE1L0oMJn~L
zsN(G_5|?;QA-b>WPrz%s*!r4oe11*)q~1`K;Tw_&e?wv2Z|L98H)JmRmTsMSOKP!i
zsb=sktzmgb5!>Doi`hG}Onygq#@~@T=X<K#^`6#Ry{D+m_r!MNJy|dKK=<~1phI>a
zs3HHutmF9u#Rz;P_Wd8p=GsSkQ2LQHpM0dIrJrcM#wUt%|3sWMpUC#rCwjEvGab?X
zOf9~jNv7#DC4BfyT#{eNUjGX{3I0MyJHAlcw=X2S;VUJb{z^PiU&*2GD?R)3m2~93
zQOCJ&v^n7$rHp)|1#`cX(~j@-;?j50P5Vw=Q{QO|_YX?L4_avRgPe1I(5qWNNN>^4
zSsdX{+UD?+GKzi@-@~8eBJ_*i9QZ{BF2AU+;upz3|3z8Lf0MwG-{j`?o8Hy^Cd0SC
zX<*f#*`e1T$_e;Gf~|kZ<MSW-u<kFNGW<(JVSi~?_g~8U`Im%c|B=_3fAlHl9~lk)
zBhxu^kSsC>Q(Na?zUCY#Uzh_&k2xqynuF&xbFgB34vxK^gCGtTbgpE<EXf^mIxM(g
z$%0fr7R+R@fVY_iD*v(I+D8^t%xA?*NmhvOVa0I+R)pBHqC12YfAUzdwUZSW@3JEO
zJ1cJRvtf}88}{vE!*wGzR5`KXbrc&UO4*>_&xWwaZ0P;VhJQ=uV*8f4Fh4XGnWl4b
z%WW?B6X!y$dM;c?=c4B2T)dsjjx{UTF}t`!#8Gzio3n$(mmNFO*<snpj_hf6+<DKA
z#XKBPU&8@+MGn;Iap1iT2i692;AAcbqS`qyc$))k-#D<7j}zAGIgzWviF>CwA>_!3
zLy?^DEapT*FDE`e<b>28PMj8=hnUUtFswcg?C0izah(U7_<6{$oQDU)^RVQ_JZQ3U
z!CRCIP4Zm$e1r?@FLA-xn+tKNTo|qA0_PML@Qw?%T-+#>;Kn23hRAVl9J$O5-#~7(
zWOL(dD>r0rapUY4ZX_(^!MGF;xc2g3_embuU*$n@I1io_@?d!n4~{<If&VWav<c3~
zciH)nJun~V&dx{D_4$~Loe!Rh`A`~~4~J*-QOdFa&z3EK*!Bg`IlKUYW(&~axd1<t
z7hrSU0-T>%fRx$LbefYF3s&)BFT)F`W4tK0;>8PpUaZXGg>DNkf^YDm>k}`2FIb2z
z>lVUHX(7^1EX03y3$ZY4Ayf+%!ntc9D(@}Cs~-!oYVjiIZCr%V{fp3Jya<1<EyA{#
zMYvS92pI#5aP!F`@Xg`Fei1&nY~@3>1|Qy>=fi3bJ{TnNA-skUePeu>^O_Ix9Q?3Y
z$&aj^{J5>n4*^Sl9Ps0ZTLwRBoA~i=h98n2`C&L;0Fjac7}zZURs#Vj*b2ZZL;yK?
z0=U~D0KvNgIQU%v9{h_@zhN;xs4m7jqs2Jov>4G*i!oHP7<2m<W7p%wxcql9@|FnV
zzMLS04+%oUR1jWnf@n+-#HT7jNRJA_=%pZH=L%s&Ob8qbLZG8UxMD7Z0v{nfOcTP=
zMj;%Y7J|=vAvALf<I8GcY)}-&89iad+X!PUNEq{Sg`wCk47=OHDEcal$BUL=+4?2W
zQdt7OQ%lh5ums;CmSAJ?5}5QZLE^(DnE1T}+`>z-XY*2ARbPq{lcjj-vJ|56OQBu4
z6am9a(f)iXez1yQlc)$x<wcNuL<Cb8MKIr61j?x*aI6<W*`x@bzZJm>u4OnTu?#`9
z44t~m@XLA`<N}xBLiRGGwl2fW&1K;IvJ5H<m*bk$a#ScU$4kTI5Wl({$HSK+q;NU9
zyO-n7{pHyDYdJ0oiXvTB6gSjFvFNNQ_FWgn^;l6<m5bu_peQ7si9(-63}MT}(7R0x
z|1`z0-AoMTo?^&M7Q?MtG4M}_LG6tgTsc>uMtlX{?plF0$5!Bk)e1!TuRwq13b3@S
zz>XU$VEJhUvKOqxowX~mSZO8HPppKy-AdGjuEhKNl~~)g5-0DiMAVO!7!(i(+eUHh
z+%FDmV{znO6UV)1aR`-(<IsROJfDc8;h#7@E?otwt*dZaV-;e~ufnkVDzGQ50#maJ
zHe;)h|7sN;uuEXcN(s!85#X&YfhG$HeD;;V`V0veH%TCFMgpTBB)~a;H6Xbfw!2rO
zP=7TZU0Ds0kkvSnw;H}3tI=|2HNJjZ4H^D5IJ;pD5>(e<{PY@dIjzC&s5P)JS%c!f
zHF)x94VM31gQH6%;V&nNwu6%ReohjyZjv~cAc>?ZNlcDNg6E|ql;*C5gV<V>?pTXw
zT5BO@z7{$@YY~{X799<1@pEb|Hosqs^W5u@vU(k+u?`FL)?u&BIyeQbLwU|Ryl7j8
zmABVH_v<<YFOou+v=n~tmBN-&QZRFnLRy3r{wtEg!d@w;K9qv<Zz)s?N#oTfX{=J0
zhMtKuLS3ZM6DN(o71G!?ER9RgrIEq99ygb-2cP_U>_4&|E*ICM+G{=Dq^zGMd98=R
z<a&g^U5~zb8!$&=1LSD~EOa*@%X$ND2W)^q_68hi-2k_n8&Las1K#n<KvGHuhRQOC
zG?c-By$o2xWuQ<f1FLQs<lL9R-JdcL6x@h|vK!%{wh{GbHsXWxMy!k7h*RYo5k0sO
zLr*tiE{iO7EtAFNZL-MIl*RoEvJm!^g+{V0ylQ39I4+A%uVo?4xd}$%n-IHe6Gn74
zfx~JO$bS>AWNt!1^Cmp}Zxfb&+JwUkHp6G_W;E~Fj4uY8vB7RL&V+78eEw#Pb#BJI
zdz+#7V>9do<WM9dhsXQmu*_HvTG!;@7cGa@QaOC<m&3*<axnQPhs32@FtKF|xHYz5
z&-pF5>b?afiCgfrdJ9Cywm|#U76h<wMf-}a_@S^Bo3yvW)M6`=eYavNeJkcSZH4m8
zRycmxiZY&Uc)n&ER_xw}WBS_=bY&YlgSX*V?l#DEY{P{++mQNg8)o>ngLlJrsHkqo
zwbR>C;kX?yBez4mWIK-cZAZwX?dblq9e;%7u~kkU7Z1uK{hT~*xXNQuf;{$B$>aKn
zJgQ#E<2Bn3NQmu#{*E08)7pXFOFQt-dk40s?SOg14rEU4z^!*Xz|XA!wbcr6g#v1h
zE8y*A1*{2Dz=<3MM6@ZO|CRz+zA9kHqMfjm-ihqJJ8|daPAqoV3H6Aba4*`4x}KeQ
z|6nI(ahNzMv<p$2c46?qF0h&G!cLc6u#Ve>+=^YeH?#{v&v)SvD+ABv3>vmG_;{Fs
z)I|oTy%@x#Fc_|5z&^=<dCS0N9wC1f;Q>QfqD#=UCU^%Bnz9I=TL|lK5{y3+;&_44
zbpWR_07Jmm9w-b09u)v0-N2FifbUPBWw9c@Zd8Pfnj+4gQAC2XBF1AB!Bwt^-Ghp-
zf2xS$IlJ*hWH**?+l`}|yWxLfH`+XQ<9pI>$ky)0x$)gddc7Ny9DBecz6VOX_P{}B
z4@xcf;F;eZh-L19PV*iF{<jAmANSzrd?jpNtAz7=l#pVeglStPEC^M?-h3rEbt<9!
zt`c5+SHemGW$4N%BY2-Ox{Q?Z+esN)qLpD*s*JRLW&HP884Ld@Lv`t1IB(gD%0qkc
z%5*PQx$lKu;$DPS??un(Ui^Kz7u(oXaA}1KG89yB^Qa2=EL5=HR|PKVDyVK$!JBCn
ztp1<^10Gd`uTe#xqAKR-t3v*YDlCFkk(H~8+wH0lxTA^#-&Enow-2@J_u-w&K1iP4
z2Sdkwh>YBaf#Q8&?b`>1NBdy)XCHEe_v7y7{SZ939|zCvhllHa)W`3~hsym}H?kk6
zUhGFSn;M2h)i8I*EPPx`4VN#eA<tV4_fyp%+@J=HDK&V#Q$r)y0eq4;0BIb6(eVR_
zy?g*8fd{~ma{$zK09S4uK*5&-c(_m<OQqFuc&|EqPO78%sye=et7AivI?nW{BmRLp
z#(t?|p3p%kZaN6N0|!xb_8=Z#KZs><2ccDQ5Pm}k(faHlzOfv_#^r}#vi%Se4<EvW
z*&%Ry9m1ZJL%3RZ2qhDT@bt|gh|bf1_9_hoFdAq-rhy+;8rT$|0n;oEB)4c_>V^j9
zf7XC9uO=MVX`)O?6VFd*VuigXj)iF=s6Z2)U7GlHPZM%KHF06_VWe(6jG6t1!F%Q~
zRGbgvTFhZolpV&)fx{4gdKky&96^Z45p-`of<GEZu=T<bT=Y1C^rR!WQF8=~#*bj%
z>m#_%p@piIT6n!v3lch7(6`h=n4cDUGqmupNekQm(}MX&Eo9C=id&LL!N2Dy)C`Wo
z)%GZALXP5X-chXSJc<){k0RpxQS|d`gGELgJN9YA(nuTGPTIH=rH#d<+EDM;hWle}
z)cw`Q`z1P9yF~{l59uJvR0o4@I$%rG!Om(OSdZ!;_oWW*%{>O86~}N$;TSxR9z%oq
zF?{qn2C4L8m^IWQX8IV0-yZ`zk1m)sy0B5yMZTUc9@yw&Nw6+7b9Ld}u8XGIy7>H6
z7wh?s!+8C1#Hk#|=&9r2bUY439*1r5aTN9*$D@bGA@b)qjtJ|)ce5T^)b;SyL=Q5q
zdN>=ehlEN!j1TL9>xCY6v+2WLR3F9i`gn3gAImT4<EXbj{8RPOR<DomllqW-r;l@7
z21t@Hz$6)f=ePlsE*roh&;X^`26)zL0I^#J(D`D3z=bE!A$0;jl}}*v$rCt#^#oGF
zPhh(61Qzt1z}^QZ;PmSR$^{MaLe>x~4;VuCtRaH08=@=L5WmX}v1P~*X3q?f#&Qz>
zEjx*Y+fPFE@JTqEokXSQNxVuviB)wcp*L|7p>Iy2hw~Kvil4$Z<`ga+JB19ZQ@H7W
z3Vd0ou)pOLTyC5~^`}#Kv*0vVuR9F`rPByMaT<Mgr!gn&G~^3T!=mdnvhJP6?H{Kh
zu-FI(HX6ZgzY%JUjqvW85hP=bU|42^$N?h^JTU_69AhYm7{h9-F>*AFareA21U-y#
zFv%DmHO8nPGscHk##qO32B%h@LG;cu7}7q2xt3?J%kK;>XPiM^(;3{KIRoL3XP`0v
zEW9MoqH*_Ge9}J)Y1^|f3OS3|yt5eTI17%uXF=c3;tIbB3O1PFp{fa%8kyj*lL>sH
zOwe3nf-ik0*zni{Xa1TXe#tqE$(_TzL+7AqdJcAO=TMYz4v(wOVcF<8XuUiKzqzJp
z6*I-R9j4fL)D$M>rbzTL#YCDZxEoEeXWA53-<zU@`#hemJ`YjF^U&5ij{uwVXb(D%
zA35i-sr@`mZ=Xl<*YlWKbOH0%Ux2d81vs9%fHH>*cph;9D~d1RSnmY{J-mR<-xu&p
z$P99u&2T~845=n&m~k-!Z@d{)D$Q_h*bEiV&G3@-BE&^6;<)@pgdDku?u!@k$Lk`t
zre4Iw`in@PyoeibFJckbCG3;9gzIz(Rl1k(+WHbC0xv;7`x3%hFQND5CH(t*3ELN%
z!(7T7nabw4WoQomtL9J(H-~GXIcmDi@%Fws*8DQZ2|)`)$XcLZ%>pcEEwJOd1uSDN
zkX>$pJA)Qj{LBLCES7LzW{J9OmUypeiM3{yIO%DLsANkF)>?vX!V){*Si+jq3c2D|
zxVOs+LdUFd$jS<y{#Iznw8F<`D@fh2!s$;|h*@Bb;kDLaSF#3k!WuSq*2oXF#)Euo
zEa|d_<~?h8|FA}rz-4@vxs3JuFT>dQGUBdX#%T0qaF$&L1}?+)$z>G&yNpLmZ6LDM
z21hh(;CtQ%E$%k>nrH)=8XKG)vq8cu8;rAG0oTea*uC=#?6t3;*y0MF_+G*Cj4L?W
zbOru1SJ3w13cmB$LRQii=XTp7N#7QeS8Tx(Vhg1_TR3#sqV$d}o_({07{48KHrOFh
z)eaq}?eNpl4x6LwaK6M2DSdXBeq@IQf9<e$i9MX;>`{Ku9xu+>W2KutbQA0mTxE~0
z5qtc8VUI0yufk01D$;gb#eZ5?vC#Y~RDG_(IqfPc8?NHj)K#o{e-(P%4hUWCfF3yD
z?{NogvvI(sAO~dRIN)ZR1Nd$`VE<PKxGZu+wX`GN>~+NIQ;slja71{7Bl?OQF{jrN
z@(&$h@!JtuLQc57$q54LPB>uV1UDBa)W$jCU4;`Qhn-;f+zFAa*D$dB8d&A8LE*?X
zSY5n^9ItD*n{o|;_1AE4@)|teUPJvnXM9-YjCJIUQ@YNGwsyu)fHUT1J7ZU?GcMnB
zM&4&<+~>UxVX5oTP`(Z?!|Q0Yzm88~*CAba9Y)>P5qtkSMt)ughoB2c)&*D8Tu^Yv
z1rMEFur$^Mhs#~yGw6cmr!H`u<BF&St|%38#lTuuJl*OF7A03K*K~#a30G)caD};@
zD||g%krC>O<|J3#$alr(8dogra)tD`D^%{e;`D1*IQ?)%G>03?1l%yV(hbjK+`zia
z4Wj$qutUcUM~&TJVd)0HYi`K&b3;qC8*XN};Y+C-7B#zJ{eT-(|8s-U6Svt+&kZsE
z+)zH>9Yagq@m$g!Y+KzSw#OX`8t%|GaEIl2clg`7Bg@?#ts(BXmFSMIdG6q=amR*E
zckCN;hw)u^IKOg7?00umuzO&b-vcjJcwnxK2UhI#z|MUh(9!mQm5~PmEIek<Y!9^g
zdf;}H2fn3yfWOoOGEE-X-|vAlGak79*aLANJW%=910y`1c)7$A?2?{Xxy2K^c6;L3
zAx~KAdm_-(6FFBr(eCDnJHej#p5O_AJWp(__Jmr8C(e#~!sU)9;$M2A>YFD<=X&84
zpBFe*ctL!F7Z?RE=&E|*@=-4Yo%TYmxfePdy>QpZ3qK;gusGcdvL#+P(C7t|J}<aV
zdm-VG7pmWTVeF3=UUPecbBQ-rt?>rQdE>aEH*5}iBUsNHdFQ;*Y2%H1uHN_=<PE_D
zZ*0o-hI*AZ&b52PZNwXix4lvG!W-jXz43<42lM!RX5UCYz<M9(?eM`B6(59X`5^z4
z54tY-;J$+oetG*qDAEU;(|mBS*axN!K5*~#LDG~DY9IPw;++rP{`LVEw=Y%;`$BQG
zFZ4J2!WO;=Rrf`~abI+s_~OB3U;K9Qg>aBB<l=pCD90D)D}CY7=8NQEU)0_5#pH8e
zy!+w{ZZ<!xS>%V^qJA)t_Jf_gAHw$fq40<wdQSS`;YC0Ex$1`{-hS8;;RlUWKU^sC
zgJ-=TQhNMQKk0|52Yz_})(<?t{UFKZk3B;EI3eK=`%V4`Cw~+j@JFw%KOUX+$6srI
zEOqh6)<Az~#`(i6+aF#P{<E2sKN^PoF@4h?AD;PR{uh6&WetGR!T=a955QHa07PsL
zK(TTF`VI%+v0(uInFT=PY5=x*1>kUa04}Bkz`HO2X>|c;><+-pL;ybC55R)A0a*7d
z0Lt?MaZ)f44yytYDI16qCUEx53B;3QftYhP5X-CsvHf}=jsyhaQfwf6vI3D_9*Cxv
zK>Rlth)*{H!TT%_QlA5{mn8_Nc!S`$EC^BSf>63G2m?w%c&Zr$7Q-McHw%KieGs%f
zgJ2#O1mEN!WE2FUxi$zlx`Oa|JO~T#2SNHx5LA8!;WTG3oE8ToT09tK8-p>pD;UrA
z2ZQxkFhtJ;V~15Rjyea!!ao>(F~P{p3`R>?Fm5&n<I6xW7TpNO`lrEA{S*wNIU%^V
zAOtZYAt+xPf}yP;c)lkDY?>huI}rkf3n9?93xTCa2>e4skd+jI*8C9MstLi@&Jgg8
zhhW3Kkl8za2#kM(z?mZyu>zr}SQ(08nNYmg8H&04L$N|96g!PWp<@{et81YM@C!wD
zbST;~LUFq^6yKUc!9NfRng2qu|4As$d<@0)f1#LlC8Ba^7)B(+@N!ES*!P5CrA8Qb
z8HC~3`7l`9h9S^B3^^fTXip5ooxCu7uMUGiXBak)g+c9Z7|y;5gUk0Y#IuK^ia#8q
zE5h+=LpV5ghC_T`I2i44=o*FNvPC$8oWhao8;*{saNJD~$B&Y5EN%*iY=1Zo%!I?_
zaX4H*gd^c^II4LfFt#KDuh&F?b4vtP?T!E)iokLG2-uiLAoxlI^4ub3GnEM3ONhYF
z+z1F(M_^M&1k^_(aPCe7++Ic?@mmCH=0;+iFA{IWA~A16BqS6f0o6$89gW15(~$@<
zk3_y>B)WVeaX&H=ztSQhR1%5JjgdIm7YWnpNVq?WMAG|6)c%RY1a}nP3P*u!O%ztk
zML|(93i=15V5=8}&~s5Ju!%yqYZM*?Md5dR6ohl5AXgQIL+w#GKN1Cx+fhh<5rw+1
zQJ7?l#=Aw);1-L<n)T7xy(1b1D$%ghibmL}XcS(GMvp@@9(qUPPee49q(x&(aWpg<
zqH&=&8lF?pNO>5I`ghTo`W=n;TruDgj+u=_V`ek#7@R;1?A2osemn+6CNb!}9D_$L
zG58x8gQf8?*qRdq&B_><wZ*_|I0mV=V$kqB2Gd_+@PRcJ^B2Wpt!ONiq+?+yAB(Gd
zV-ayA7R4uH(RVQxkFUn!pI0nIB4V*EH5P}9VrTEDvGDGRMcQO68Xv@B=4~uK{))u{
zt~jg{ii5I598PYEg9F7O^1$pLzq)bgKO2W9)^V8Q5{G4hao8Rgha=f>xKt4bpVl~}
z55=MBW*q)|7Kcxt<G{-r52=Om*t<L)r=;THxIG?G%JC>Y9FGCRcsw<W2g}uXEcc3s
ze0V&xQsQA=7!TjNcw}_Pqj@48H}1#d^P6}q{1p%Bc?nPvOu*??32>54Ks1wpGPMK@
z9!tQpGYMd|PJrn31ndY%z|q(QSY#!@uRH;nEeU8DOu)?>3Hb6f0gFB-U_DDBRCyC&
zv@8+V)+HilTO!Jp5;3HiIGYJ1g3T-uV)ltp@JxhuSRyQw6X9Qwh^*Q~w00%p)_5Ym
z-b)1En?!8*nTUOyNibfV1ZVLi#BNMN#jYd_?@z)Dog~aXlY|vkN!aO}1Reh*Sj8kE
zATtTsWl3mjPQvYhBz*fX3H(o!AoD2+`{yL%%z|WG7fD9k+GJF2O~%NcWW3Z!2K$L*
zth|tnU3SSh=8+8R&}0NAB_k(48SOR6xYL=8?_<djxR;ELualwnBN=BoQs5$xg7}pw
zsFF#+=*|?p+Lr<jofL>0r+~3cf$p^wT=q*rP;?4%Gg8n|nu5DcDfrQ!g2n%(K=w%r
z4tz|R&0tgDIzJT&OH)xTnToM3sd&9R6`UHWSY?n3I-iQ;wyCgjPepJ@D)JIj(V3Tu
zd)2A<*^vstu~cljn+o+;sW|sN6>jWlNaRmL&5AUPZ%D%%g*43Dmj(&#G{7hgdKPK8
z;*^FE-!$Y$rJ*Z54fjjZ@T)NmLj7sjJd=ilkJDiKAr0<-(~!iIj@l*Zm{^mJw{q#=
z+MSNohti>_pALP~bl6@=N2psm3WC$oosf<Px#{>_l@8&KbjXdS<ItUSoPU`Pk8kNn
zo|}O>z6?x?W#HZV3~(!CV2x@9b|1}v!RZXxnP(u(F$0A@8R&`3nC-kW@TWKfOByq<
zr7r^-(;2w%C<C7FGm!Ep1NGdQm=ey!`_-A?k;{anVkY(+%)|-3OxT~xM7T{Rid-|%
z8<dGh@tOFWlZmBOnb_K%3C)pAnBC5V*NaS~e$7M!TNb7lW#NNp*6f=$3u|{|K}jVG
zhFV#;dMXPMm$FdokcB?)EIf|L!oSokh!kgGTSFEO_h#YZR2IA+W+Cle78-wNVTLOk
zABD29V0AXuZO(==vT;&98xF^_5owZ*lFQlXcge<+z--Kk&&INxY;3R0#*wycTpG@X
z&#i2vKhH+fmu&pUnuAXZbHFQ_11aeo?3K^Ksl7RHJd%T`lQ}58n1g|<Ie6-o1D1#!
zEKkjWd{GXx>T_V;lLOz$9ArGmLG#-j-1wD)&+~GzP$(DD61h;>l#A1p3#S9Qh}O+T
z+1XqSTIb@~^<1z9=0Y?s7dx_ZakL^A7OlCn8DcInZ|0)qSuSpV&czp&JS<w6hxN<z
zpemIIqwRUPrksbE!+9t-%)^jb9-iChfz2xqV&QpENXdhCVIC~&^5EZ{hpdS_wBFCd
ztv7l2`ZEuF^YXDlFdzF?<-=GuAI?lZV%73daV#IhXY%pFDj##N=VL{{EbKcrA39n2
zuqw|-KubQd2lLT(BOkY)=HuI^eDJdrK!&#f`<E5q%(?<x-&TM)r2<rH7GUH=0bX7x
z0K0twR(cj-S6Bg#B^SWDpa6lj1<2_tK>K(B?%XTD_tymw_*sCBoP|(ZT!^#cg>cze
zi1=NFsM=qMQJq4(GA^9$YziUnTnNU$5V|pixSUytpt3^bHW#8}pb&TeE5wf{g;@Nl
z5VCWMa9}|ZOhk&{y0!=jTZ>S=rwC&jMR;vc1kMXZSY=lP@+iXb&?49*6(Kmk2zfO{
z=<F=Qy|E(vyjujp*G1U$qX_C8#W*KW47ZiVNR%l?&CX(s?<>X|?PAO`E{23<F>tLI
zdVa;Y5?zdtjAG=M7Ne`F829^&@oT0SLQjgZ`C~B-{ws#*{1Uh?EkTlG32L{LU}AR(
z-X1Cemq7_upD%%;Z3*<<OJEyPg3!bg6y%klySfAqI!f?+v;@L;OCa~E1c$zt;5>Wj
zY)4*-<Q1i;+fa&0g;KmzEd{rBDb^U3Vz)&p44g_~=Ua-fs8STBm!hYn6b~Cq@u#m8
zOJ+*3<#8!AK9u6Z-%@z;lp$qF8S2-RVM?wH?-k3ybEpiG`eoQ-T80x>%3$wShVbCB
z*$k`<y}4z0R8@w*?PXXxT86E6%AonO3})ZT;5D}#seI*V5G%*@`f_~OQI7el<yd>P
z97?ClVQ5~CtB&P}@F_=eWI6iM%JI0k9RC{1A<|clZPVpA{HPok-<QMtPdU=KE6^xh
zftl46__(<O3luA`?qCI!^(t`kTm>9#DiG;ffs&vK^v74=NlpdkR8?SEdj+<SRN%<%
z3S4?o0iUlGNN1}=)1pfJCt8V5(v{%dQ3)xPO6=9D#Hmx2aJ*EBD2GavdRJl~q7qM2
zE5TA+iRBHIkngR8)>I|TA6CNmT_rMpSE8A#3O9tR@L8e?3pZEIb`DigQLn=3<5h4n
zsY3MSDwMfYVKA@?&*G}Uno|YQ$|~$=tHROYDp=gAg5UEhWPYha3u`rQF096v<<(du
zU5)kf)ll7A4WlE~xOTD{F&C>*ezh7yUe$OWUJbU?YKRq8L!rJJ+C9~<oUDfbgKA{G
ztw!swYTTMvgRg=$;FGAqhD|ltM>Q}$P&2D-sX^@78dO-<VEB3sUIf%&Zd?skWY=J4
zMGbUXYhX20gMgbg$bMFXw$C-V%~FeRytUw8UJDtiTI}Cmi!;i#xPG`6afY?1G^@pk
zeJx&k)`C5}7AsR~v8%8a$LeZf-Cc{oiQ3tYw-)VhYH{ahExvQsK|rt$8&}mqO|}ka
znL4<r)gk^^9jeaMVbrP)ubk_^5l{#5S&S}|RR`VjI$Un4L(pIya&Oe3<7pl4eyYQd
zIrUh~TMyY~^*FGu9wyuB;i^=R1kHL>pQy*!g?hZUs|TlNJywO)gOclUyr3R7we<+@
zsz=^<Jv#5z<KF9f{QOZ5LCywjTHFA2@dljR*Z{X(4M^PIfEt|!j2k!Ljb#JoIX6JU
zzX6D8fL>+;u9P((q`3k40}bf<uL1X;G~n0A1_;e*#O4K!I4IHx)3uFo-`a?zJ&mZ<
zXvBm;Bi^2G1eaao?53s>ilL3rPilm1ej`F_8d1>Mi0-jQJh<D4->(`W{G$<a98EYR
z(1i0Vo8TeSgyfw~sN2_sN$n=QGin02WfRt1Yr<~7CKyCF!7if-VWmwdY-&PJe-j?g
zG~v(VCM@~bgf0J?W;63<Tv*x+PswJaY-vXQ?q*CKYQ}s0X7HSEhNNvX_P96WL`XC2
z6Ppp9*Nmd-X7qM6<I!j{{@!WE(pSyc`n?&N>@6_kZ-Li}7Nl-yL4!gIrd3<;;b;ry
z8?|7qMGKUiT43ngf~!$2h)8ciaY+mM8e8zVuLb|6TOjhd1=~Kf;PBrTT;yqm_mWnm
zt!YK0Tq|Z2Tk-K=D;DUtVx4I#l&`enq+2T-f?E-p(2A1WR`gf3;z@fe=8U#t*_~Ew
zf7yy7-&%2LZX0~~+K?{RhNksx_-{uWKB=^U_h=iWPPbvNc^ghSw!zV-4N;M8C{1gd
z?I_#uw4n_weQj7i-3IwbZP0q(2J=5{@a1kthHyKYSGVKF=5~BWI~E>nhqPWhRL-^I
zv`sslT-y;H)Q+<Fb`0jU<5^`pSlinnI?|3Ex7%^_MLR6Mw!@FD1DT6D&?4G_o6;Tl
zBHw{UDjis_)dAI09Wc7ofol#Oi1F?~c|-?>QakXxr~_;b9T4m7fWlM<v>$fB@?8h~
ze|I2@s}rq4owy~@iLaYF!G}(4Q18UP<DD=z>4fv;PQ<!&q9U*p!*QK>k==>8m7Q48
z)`^|NozS_}39ILw2>8;8Y}PKcE$qVW<z4tD)dha}F39Zdn%#tS;mpY{T))_bxT{^L
z^y<P$co$x#bb-C73oGlpu&bvF$0oaA{h$khZ@ZB5s|)S(x^YLa8{b!TLts-kHc~g#
z4s_$JZZ}-cb|c=p8&%i4F&fZ~SFzpT$nJ)CMK_q%Zs-nm&t|^e2zu6y+|S+UVClhK
z-X8o|)`P`TJ&@hrg9FMvFge@<SHm78nDwCAz6WETJ$N0~1J0BltSamQ)%D<bcMohP
zdJufS2YGLL(D}0m_c(j;b8#;OSM_3(Y%kQAUYt|wh1;=SB%bL-ja4tkoqO@dzZdgj
zdm)k43zYXluca4P273{5qZj#4duKOzy|_Q855E@lL1<YYHm~c$!EJpoRqBJgW*?GH
z^r7}bA13Vj@YbUbTw#4!o!ke-f<EZi_QAHR5253ID7e>$?$>>I@S_jEIr<^IxF2%j
z{W!F-ALn=V!()Fxl6Cq~XWWlT%l_GptsmU}{a6#zkKLL5FevMXU2{Le2KrI>Uq5=D
z^yA^je*F2@k0lERutj758fyn|Ve0@q_Y5FKV*vFA1DHBLfcLfo;PDuMWat3)Bn{w1
z{s8Q21`yskfTFPh^xhr7qgMm?`+WdQIR>#+U=W%s2Vo{N2(O)kNZmJx2JJyi8x7)v
z#USQi8^l__K`2EJ!Z2eHS4#&G(KLwS{z3H34C3+QLHzqL2$6q-*fxI%hnEiFqT~>~
zw+ta|_YfKn4Pi!q2p>&{u)uZ*>)eN+95RHHi9>M68$x9D5K20R&_6naCwGQ0=hYCF
zeILSh_F)|1AD-Pb48v!`Fwzx<(WE+z|Beph)9GRGS`0(VX&8HbhjA)u7>?<~h$<OI
zY2z>k`iAjzdKfH^hq3&_Fy#LZLyKnw=1WH4yJiF#awBL~9Knr)BlxU0f`z6dkiIek
z6}J(b4jzG1!U&>sM^IKZg2DC?JR2DS>zxsZz8t}hZzDK5cN7+Uqwo_OMdtcZwCotg
zO_fo6(Hg~~)1z2#J_=RGQ5gA*;#%Y=V$w!YUObAShEY849R=I;D8wF(LgD==wEv94
zl6wsP!ehu<J%-lJW4MJed{rL<pWYZYoEyVFn=u%>j=?!-46*TJsK^<^aOK$ShHMOT
zN5-(?_84})7=zB&F<7yUBVf@uvPH+yCOwYZ^5gincO3j$<B&Nuj{TR$amHaB*S*IP
z7cq{?)NzayjpJqgIM{o~v2tpBR>(e%WADac{d*jNTocF<nn1h61nz8_z;~LM?T99@
z@%RMPOeS#l@&sI5CJ-MufvUI(jAl>ZRmB82+9n`AJOSp`1azNI;PRIV1hGycci|*D
zmQUiY)FggvpTy$5laM_!i32AmVRCU2u2(0K;5CWr@JWoNOyYInBsl9Qv8rcs7AZT4
z;}0fb^L7%!zb274Zwj4)Q@FQk3O{A1AV^c#bYKeVx>K{8-6^<PPa*O86lwydFdjRF
zH(67dS1|>N)+u0U3VJuEaOK$)LOxF+pJf_dywkY9Y#P7TO+#q=G&U<w<KW?Gm>N#Q
z-E103_S2~KoW?}hG~OmpgR5{FtLvtr*gXyXiD}s0pPudHr%~{88r_^Tc(8Z|zr|-D
zEIR`^W(J4UW^n%43_Q-vAlYgLb<Q*RpQ7_{3xayvFnjO4_uhN+-t4_cWMpJUW@ct)
zMrLMYWJYFYWJW|rW<*BD&&Z6(h|I`L2@w$y5fKp)5fPEk?>c|NIoCPwdEfhao>Oo2
z$V5$#Xf^bR>vug8*VZGYfAz=<y*;x1QjdH+)gzq>r{#j~X_>b=EfyZ9B{=l7<RqMy
z<+-Qj^@mSO-SX4&;|r&yyYjSLfA_R#e{x#f8c$3752xkfj?=R4-_!Emz-ei^dRqRN
zJuO3Oy>idES1cWSCB&~+a-)0YskC0%T-+<4KGrLTR`tq%FZasimR`}R=@s|SdnKW{
zR~G-=D=!}Fl^v&h<(uJNIeMd4E-v)Sg3cMSvN|K7?q?(~<czF{KO=ACoRRv{GxF1u
zXQXHC8M*P=nfnaX8S$t+BZ*&~kw*@mk&55W$onVG$o_L@<j=7)GJN}tD5&*`wQ-+>
zIrK@sZ=XCJ)hAV{eezjRpB!G&C#Rq3ld1K6qPL|_JU{4@q&<C7_HCcMbhuA;{@Ewr
z_VmfIi+yrwvQHEj`ou=(tb|*hl>)c3vNHIrycu^^_GF)xpC39az01zZ&F9aG{%dE&
zYui~#{`jmsy6>#4|KC~p;K*5N{^zXx)qhq-uACL6+h@gAwO=BP`lZmmU!L*lmo1U~
z@_9<Xv=#QtnMeC&dS$;DtnU}^H~S@JXTL1@tY2Q<-!C;k^~-lh`=#r@ez`o<FUphs
zVt21!BDK#+k;OS#<$CTub9zo1I48ekos+&r=j7HC=fv>&bK<k<oTR>UP9EERPBwgb
zPCjfoCkK8#Cx0J5C!=T2iOQ98Vn1_EqErT?*l<9ewHuJF-UISQ#DKIX56Ibq0huWq
z5Tlg?;``Eoq*V>b()S1CmHGkM_07Qjneu=f|6@R|bPtH?(118xACTzz0eL{{ysS1q
zFK@e?m%V}K?^j9Zr9bn$+<x%97(a1d{MMY8^jFWz<JIS7<45P^qrK;)<@@vUPy2Zp
z`}@48ojos(qvs{&)_EyW9+c+{2Bq3|P`>mUlq2DTaxQ65X7dNdq-;?9pB|Kqia{xV
zV^Ch*F(|t~9hCny4a$ih2jyz#;C;q_P@FCdO6<g-Ja~6d)@WXkcg!xxKIaSaTfhYw
zh`k_pGA@YegBK*A{DNdYcR`-mctJM3eL+6nbwLh(aY6n)a6!g@xgZ*UUl8ZM3nG^<
z$fD^B^1RZJY||f-uWW{-!*fW^hYiVG;*gl-4@ux7Lz1;(NS3`gB(H5AlG^u%<cGQ;
zIr;UFTx%T?&CVflIW;5<4#`8;hGgyBki4sLQ5sDz%I{7WWzhek+>N;?<{1|ysN|w#
zKYmf3Tzye0U%4osY`rM0A6}GG4HsqNyNjar%SCbRx+rmHE=uXhMS0=oMcJ-6EMMyl
zOQ-d)T<{o{`OsmpNF0{nykW^%JS@wf8kX1B4NKkY!}8<yVd?&4Sgtn?i+1a<xcxpX
z@h6An;q$|?ZhTnYyE80J>X+mXlS?w>cuDU0T@uTfOA?ZPNpc^!Bu_29B%7bTB%f}$
zB!}L*B>&Z1lF836iOzSI#J%m3B>Z(r7WZC~7cX6s9aER?Gm|57RCh!!T8+qp`-oVD
zj!0<2h~(vt$cl$Y<c;McQvbq;{8Tw2J@1aljoJ~>Z5$DgA4VjxV?-YLcSI@%M&$jg
zBeH*XME+E}EW^f^MZxj1So>X;u;|N@pLSWEF1{>Pk6o6}R$Z3EFJG3^TQ1Ag2bV?f
z^ULDdd|8ryzAR<OF3U@&FU!v1%ku4w%W`btvRu*`6-BF2v2h=j@Q_g{h#!@eIivDs
z>8R{^a#Vg^J1V`ejmph!qoQ9sDqdfWO7g)`dGxnYS$|?wJ~%fj&10kT*X>amQN1Ec
z##hAF;fh4~UXjA6EAmY071>gBMLu70McSUZB4^fLk?A+Dh`|R}?lbCFB<0&HvgGg;
zdHK&PQqyxqzPorux+bs4<$G5|S!Yb_EXO3$ZA^-S$7EI9n7oxeCJhgb$uG;sr0@AL
zxwUCb47ZJm&&Okux^GM#``?&sI5H+5{xc>A`p4w&D`PS`GbSpkSH<4wszljez0aUr
zm1iTb%GQ*t@<riQX@B&poLzZUW?s4~MsHpf-<?+_?X#=0bpKU(<)^E%>*!Va{=cho
zeCVoNxqekt?_CuK?Qw~=7?%fJ$7OZUxV+7{?9CdNUl)x_{}bbKd(F5QZyFcBcg7`s
z_qaU%<+yBY8JCZK9ha8l<MPkhaTyyO7qyvjaa6e`F^1Qq#O|6r=Y378Bd*=o1YMIO
z1=r+U*)^Gc`kI)$bWQxLu1UuG*QC7un!NhWHQ9aWn*8sNYjUFdnq0kbP1LVn6Q}uW
z600>K51LQN8kY%qCvZac$%OotIUxfNPRO0|2{BzWApx&WNM`kfJn_+lY}z{^AAdg~
z2iqs^Gk+5@-Zvo{qZ8tMYeGc%x-2rdF3;Oumu+6x<*V@P(vfss&gWm3xks*x+0)l0
zu;RL8y>VTZ?YJ(leR^GLo36_bKVFxUo!8~ssq3P7;kvj?To>+MmxnYbWv$tyyz4wE
zjRBMLd+ekPW=zW6l1VWypOm2ICMA30q&)fdq*U&jluy2xl-2{2a_W~!ndq7nt-eWd
zy*w##)00xFbVFXyzaiUgZphc3H>5M{hFnOzA@g}R#Nv?~61?Ju<h*!8mT$fxufKOg
z>gsODk6+)A?$#S}{r4N9ed>m|4c?IWYd7TKxf`-hV@lpLosuS}Dfz>HN`_*l<X-xe
zSe8sl$m3J@8S5!|>Xj+kymd-G{cuVSHB8BW-%ZJ6+mz^ZO^N%NDM=WalEpWt<VD4s
zvP18td}Do6j(Xgbi=j7VA>pQ2<=vFf#WyAIshhH5-A#Gp^_x<^{igi%$xZ2LyeT(+
zxGB27-xQCNHzo1>O?hPerc~UyDetRK%YKt-`O|S)hW(~RA!b^v)2AiufoaKKIxSB>
zJ1tckrscD@rsZ(Ww4DBYTBe$(MXzmIJpY=Oq~2*MyEH8?O-;*Ag<JBi?kzcHbxSU}
z-x9^pTVj)NOTu$+Nx{RnWaaW(^5zS-WKZQS`T5;j(p!5=Zhm!3^nbV|ULCh2`QKae
z=)f&mfAyApFnddy)n@K%T4rR#VMdhvX2dpnMk3N?q_B8Ko_TCWwyc_w&tIOAwk<Pq
z=7SlT-ZLWx%`@Wt^Nge%n~^1_XXNGK8L7E3Bi}8|NSDrSxomk`l-+NOUC3>TjK3{K
zIk#n1>1}!I$=lMf_O|@;+HL9EcKbfFc3TX;x-C8jZ%gWLx8<=Dw`Ie*+w$SqZ8>oJ
zw*0L+E2BoUqT(<s_P(<c6*Vixsk8EI(X4D;GAmy^Gb`=uXXWghvof=DR*d${ito3x
zl6H7jmi{>_uk_5yu8Xts{p741zc(vawC{+j<sETwyCc!TcjSS%JF+_aj=cTQ9of6=
zj{N%k9qHe6M{d7!M~pwdBYykt+}9A^k;jkRk&XY{k&pWCNXwNw^3Tj28B>`PHKRFk
zw4ak0pE)UsoRjBL=A^oCPQH9}PL8aclXEZ4$!yh}nCzSr|Ig+mWB;6#|1>AB9-Wij
z|INw&hUVnN^*OmZKPT$icg4x#uEe_Dl?Q|F-e-jG$~#$iW#6K^^4k-4Wnj%+x%28>
zF@5K*1nj;mnP1+OCtB{xreE*M$H(u=!LxVe-_g4=e(SDisLYGA;k=05ye#sbm**qq
zWn1#Rd{r<n9cA-!{^@y{tC$zFs(A@~e_pcc=VjS9^YYrEd8z$lUViAFmy;Lf<=Vu&
zXwJ`zi`G5C{GL4Ia!=L<-jjFbo-}6Oliwe_Cxhkp<nD9##QfEJ5>$OpvOl^fPwu@Z
zmEYf!PulNE>)-d}RNp<BxO`8vZru}C<pqf|SddcN1$n`1LAHl4$k#~=(wV;?7am!V
z`4tOdQL!MwZ!Ad8js;o%>4Lo8v><gqF369a3(|dR;l3tgL9{0p#O>~a)T=1qudTpg
zLj^J|6zH{6V414|)7}bH1}R_|sX!eH_@*duC`*C#LIrvjDNz2X0#i>YuxX_N`p+v+
z`;r3Qn-plRQXusm1-jo?VCilJChHa0_@x56`xV&TqJZa53LN}Zf#jnKoII|;lK&K#
zIIF;hAqBLrD6s3g0`4;kw9G4zsG`UTEk()<6&W{IWWAjtny!k}cq`%>q{x8?MdDH9
zc(NjkvlJOCP^4m!BI=JSvhxW=oL4H+yhagTQl#ruMM|p_8Ld`i-TR8D?p9<+y&{fZ
zDzg6@MPgeNId({qMZYRC@`oa8k1L}5pCa4ODq=sRNYkhy(bp9@dP|X#c}0eml~|*t
zgrcDm+su`)wNs+eMTtmnB{~C@D2`BKNR(Keti(d564eDtST9myUzrl&Pbksxv=W7D
zlo+f~V%4ik%)g<;)@mgz-&bPqM@od&D{*A668YaKG4Q<-D-S6#*RI5tKa?;(u0%t(
z62WJcXuqID?x+&|6H2VOrNr!AC90H_G1XFLkAX6Q=E}6$DwFM^OrMuB%LA2}30G#b
zC}W(gOns&@{sqb$eo&drGG%(pm09+*GSkl~Q(2*m;j7Bjy`hY6wK9ixD3kt?GCiLv
zQ@&T3sU~GMeXorEA!TaYmGS;VnbyCRN$pmqyHA;=7nGU2tjxv<Wpr;Tv-_?xp2{j5
z)KnqaK!uZLDlD;8VZvF34PGi}2dc0uTm^Sgp(RO$#7q@V<f~BjpbF!UsIb0V1<j{b
zsCiBW*9sL5Y*Zos4Hb^Rt-|6RDva$?q2f~&)c2~evq=T#?^S62Q3cvn=;~CV^lueL
zPpPo3PX*NrD(twdg5!h=`=?ciy{p18B~=z_sxqRl%33p3lx<bn?yQQvmnuyGszisY
zax_+zk|b4zGgMiVuZrS>s%(2i729%E8ds<i`J5`9FRD_!QI(<1s;qunm4)|IsotfE
z^{1-r`$CoQCRI8Ps8aZ&DuchMvZ_;+`7Twqo>IlKPnErcs)Sxv<;XQv@~2f9m{Vn?
zk{WXwYHZP0!`w`b1{*bkoz-afR3kS)js7q-R>Z0?o2W)rh8m{%YV0XdBk&P5+8$RU
zdxaW(tJPTkq8c-=sIhso8pdy{QU9JA{=3vTT&G6n7i#o=t;VtgYD~APQTdA+hMj8E
zb*bTdN{vHj)JPvxqh~~o@@r~L-Be@KoErK{>eOne<E^hwtEoDvHtKXcsk78mok@Rn
zHioIA8>`OlM0Gqf)H#@^PI8GlCl{-;<Z*Q-o>FJSYIU?<RA<*K>bP%Kr)8@;iSMa%
z;zM=H>eLx;P-p$u>S!KNr>0dM*I(2*@Vh$kUFsY^sm|gv>WrONr(#4M^=s<vys3`!
zoI1^l8la&;m!1ZtrW%Y|Yp~8q165BAcKB=H7^cDg7!6_*H8_^8!J<43Mjp^$?P3j-
zAJ<^}QySQ>)}U#f2GOr*aP)NzO15e+yj_DeA8Mdjr@^)c4Q#*Gpz%8mB3m`+Y}26l
zcMXRA(qQ#T4HkMes6MZO^@s-h#x)4PsX@mb4GI-C8C2I~m7XT^CYo%u*2L0Dlf53A
zg!*f8Bvh097)=HeG+CLh$y}}`TOQEFe6c1COEn38N|W|yHOXD4N&f~-R=lps>|2^t
zZP&!~LrwO4qDf$bCT)$HWPhhg-w&EBZ_{L^LzB&aX<~d*llopw{LgE0_>v}><C^qN
zX|n8&CesR9RH|!XsHa7pi59-rS{!oJBHcra9zQM0L$#QS)?!nF7W(O0)aGj8{eTv&
z4{MRSREzHAS}c85i^&(X*tkIp-Pg6){gxJ<+qF1Yqeb#3TAch`izSU(Of+k;;Rh|W
z+qBr#p@sWjTD05`)=BKu;>3U!WtX%VzpBOhDJ?YbXi=k}jjOsg2XwWGH__&}l{SkV
zwHb5QrovAf^-yhgMr-4opiOg{Hsos4Rjf_v!`h5Krp>zL+NeIO&5jqeaonKI{z`3P
z-_qvTyV@+O(PpGpo3)>7qui*?_GWGDf6%7sXKkW8v^jcAo05OE89uGengMMTFKM&w
zsy4P$+BD8;6RDs>r<xAMx;hLQ>#*8NhXn^6s@-+4_S0cshz{Y=I&{SAP?)B}V2%!}
ziglPT)nV&nI#@2(Vecv(LSN9~$jdt9SL!gZMTeE|>M-|#4qIw<F#lYKhOcx8Zq}jw
zpboh|>(Kw34l9o7FndCWs?$1{4(PCFSckx?I<(!;A$wMbz6BkYtLZYMqswMvU5u@C
zsdv!D-(8o(zPe<F=+Yad%d&V~rc-sP%+bZLSeLp|U3?$Y<<OJ5q_5JYXRR*fFY7Y(
znl78R=%W9wF0~)%;$5pt>mFTFztW}qTV0kO)MfIpE*pQ-MfaF4yHDuid0Ll)=X6OP
z*5%}wE=z9cGI3j%4GX$xtLd>zM-O*nJz6aFNOaKSgqt2^zIu!Y>#;sc56yTzYEt!Z
z&C%mPksk4-dK_P($KogT7<)#KinV&EzpTg3*Yt4SqDS*KJ@`P6u8;L7-J{3oK0Vfb
ztB2}AJ$4+{!|^vg_W!9z><K-N_2{waoE{?=^;kQmhw=?Qw%^vnenF2WRehp$^f_vz
zPl=^I!}j{Dannc9SD$Uc`rJ>vr!h{S$W(ngv-K%1(r4%)eO52gXJMH>)z9c-y;h%n
z>-7nLO`nc8^(ow@&)`mdR(-6`{Ac=X-KUS`xBBe;pFW|7^*M4xpZq`d8Tdz^l|A~*
z_3N|cqCVzh`ZP@H6MS2r_Ivu|sv6L*ZNLg617<A@sIoV})XjiBJ_ZB^8_*VMKz5t~
zeJKVk&o*GD(16Vk8DPA`fcj+y_&;O7;pYv=TyH?{CIgneX~6V522}1e!0=-O>OM2T
zcb@@=_8XA?KLdJxGNAm30aHf}*z}J9`aK5J_8Z`R(SX(~2Bc0J&^=?o(t8F>su;3S
z+YntNLv~vj;%RTlL03bPeGEAnWXO_8Lnbg}Ly95V*@o;YG{pTOLs}j+BypJ`CsrC#
z_PinEFB!6alOdXK8dCF)A+9?OIk4N1_|FVE{-q&{_Zu?SVo1eLhNvGgWam*soc}ST
z`9DMGH>7LGkkTuLj9xcn-Hais_YB#gVuYi%5&I2|h_x`{n4J-eT#Xp<Hezj%5z3K9
zY{v-u6eF6ljEF8Y;^-nHN**<0_z5G{tTaOLc_X&HWQ6S|BO0rWh<wM0&i9Qd-fhHC
zy%DRwG-BZ!BdS}Bu>Q%2eZLwJe$<GL<3<$zXT;!HBUTL=F+Xa=*6T)C&KR+G-iS~Y
zV~%JUlW%CufVnX%?TndoF=mUmG3G(WG(;E^j4|!W#^h!h(_diBibclEmKjs^gfXTo
zjoGutn825eX?xX}>?&jWs*PFxzA-Z&8MC?G7~?OEssF|p{}y8oA2KHMS7UnrFlO0t
zW2U=}sXS|p;gB(PqsI7NH|EeSW76l1=}|VJT+4(h0~0oxo1kxJLamDl-rgp(2AYr>
zVM4c<ur%3($xIVA7MP&B$b{WxCU`z!!ojCaNM2*Y$qEyeylTS48zyY1HbMJ+6Lx)M
zf_uFQEqhH!{KkY6-<wc&$b|8B6W0G>g644(YPwBuJ!`^&3ns*mns9u=gvGZ^7`tmi
zg|aE?TBhtYFvZ#2lxAB~a51IJ%aqbUQ%1v0Stq8bCY!P&(-g-7Q}#b-N^F@a$I4Av
z^t34>&zZ8e!W89KP1*j2DfZQ-H0>}Y`Xf`0erig|UQ>pfOj+~2DT;?o+174~?H{Hz
z{%uNRw<(={rW9W=W$3agt0zoZm^P*Qt|`{aX6(~6Biz7@4l^?fZOs^THe;2S8S?>V
zYz;TVQq0(!WJYMF8AtNX$bZm`fk(_(S#HMM3NyAmXNGx&84VlF2!6wi_P5Q*-C;)m
zE;CkqYR2prW>htqVfwupdww({u-%NdPBXIqHly#98O!_3m>D!<^JO!PC(NjyHpBm}
z8Hbh3$<#EbSKpjvX68)Wm{aL&j-i)1bphu1hMRLJ)|~Vtb9yq&DbF`&s>Ga4kC>xh
zZcgnAbG)B3r}ag1Qa75@z1f_lZ<{muo;e$LnWOuuIlI3w$Fs?tg9pq>{?VM1znHV6
z)0~Meb2gkZN4w9QU4!PhUpA-ZnmLKn=A4)_r%cI$aSaRB>sz2{W<iaO1+LB(9PqRt
zKEQ(GVHPZowO}mKf{F|a)blOaSz>|nBNjA2ZUHMS=vr+->5CSOzGA_;%@(M>ZNZNB
zEO6Xq!Tvf6V!yE9*w+>;I$*&_s|9O+u|T=gg6&-v*q^eX>5K)@gBBbev7qFd1;aNj
zSTkpVqLL-sG%T^zx1`b3l1Lj%I-M*j_OxWk-;&i~mMp|rQk`gtb%rJT@+=82v7}?M
zC54Y$GWe7wt5#bwzs{1auUKNa*^<3mEeU<kk|Q5ll3!=ZK!YVKzqVxVJ4?2-T4Mf-
zB@Mq@65M4;`$<c3&sfrb-jWp~mduV@Qgzc3(>Y7_C|VJyVMUvs71^d%^jTZ6+{ua=
z4=XnNTVWh#MSYAF{)tu`PPZa6&x+m$tXQ_#is_|RR6b>e;c6@D)>+~EiWP@mw<3M3
z6+PRnDF4uksZXrf)L@1F*H+YiXN7mG6|HSnr2cM2_g_{lJ!!>cuN525TcJB*#qMz{
zJa1ZY@QxM9iq@P|w`Pf+H4`S*Y_PUQ+sT?;9@e<~ThkJ1O=65SClahFOSfh`*P8VY
zSfjbvnwq87xISggfoH9WUuVtn4c07v-I}qttf|;;jrxby?EJ(U=LTz<8?E6xYr1~0
zrnJqP(GF|Y{bh~nNo#iWTH|=$n*Eooi5<7**pxMk?pQOTV8dE<8<h2I*luEjy|oQZ
zjy6Pl*l^U(hLTVlhNEp*lVF2lx((ZMZLod7hQ^0&h+Jwz=W-j0pS5A=1shgxuwkLn
zhU&L$u-<ONz8V|CKe3_Xa~ld9Z5V8}Vbu>d%>Qh|)(#si|FU84zcz&S+HhpRhWtx5
z3|zHg<&+I`vo>r|u*F>6mIhs0f=z5`x3VSI(UyL9TUPklG8<w`RkSUp3AXG>vn4Rs
zmbPMBvLCjk?=f4JFSli8l`WfJu*G<TE%lYQ_`hY#;dgDxtg)rH)|O?T+cN!?EtSo-
z82(^O-Osl8cGz<0m@Vo5+R}5{mhu5xriN|Vbk!F9DO+l1ZShvHqgBn0R9!o|jqO-!
zWyhq09UI;4(Dk!pcZeOH(RLh+w<9^tj*~fdEGf2QqSTHJkJ+KU+>TwV>~Md<j+U40
zNUXHu#1=cs-nC==13T8&+M)Tm9W`Is;o5A+frEC$|7^$c-|Sd?%#N`Wc2u0ULw&%G
zox^rGU$vw8h8@h>(Y0VlshT~bI`*tHwnx><o*fSMIJ(=j-`Ael5PObA*|R9#o{?00
z*5=rwTx`$wQhV$lv#04vd!kp_b9AjeB`@1E{F*&$w%DWiu07j6u*bI6p2j`)M1EyY
z=ePD0AGBxausy4PvuEK?d#X>^V}075edp{6AGW7s%$~v<_6**(XVro|^QsPP)p5Ym
z*nz#44um>5aKz1ld|w9!f*n{H<-lB=16xuZFwb$Ip~!*YQU}_XIFS3K1O3l9uwtzP
zv+EtGdd&gTEe`D2=0M;F4zzvjK=vL7`t~`n{96ZR{^!8v!wwk#=0N?Q4)~vN;Bb!v
zndcnnz39NQF$bn69jLtRfZ>7zb*hf|>Ns-9$dPnQM|$iXDR*;Z%EysS!H(!hIZ_+v
zh<B<Zt=W#G7CF-WkRwZ%I5N4+k&VwdqPy0S-Rm9ke9e)AZ#t5^&5@Hk9a-|RBNLxF
zvSFVi+TS{|>wk{8A9keWh$D%AI&$J4N6LB}8Si&w{Y6JK#~i7dbj0<xBM0s|60hpS
zacw6S8#ys%;Y5YK6Y6eG?DTQMIoOHjNGFJMqASIT(rhP23!PZ^kQ1s)oY=9<3CCxg
z*#Eo}vFn{Uw#kV_Z#psZjuUHlI-&fr6Wc#?!hW9<P5YgQ{+|;^e{!Pah!ev{omlga
z6N)`fZ0mQz_M#JwSDc8PbfR;{iQ;=s45>J?THBcgLuaZjoUyidW}mAw;XclE1UXX}
z>C7O`tV(faKFgV{h0a($<jmejoe5p$%#oGO<UjAsz)Q}o+~mw$l`~u3amIY7GYz|)
z3I5EP_Ai~u-S13)i!&>Ja%T2dXR3}mWBQLXd;W7Ku-}=sA!o9$IMa9CndLLi%*;Ep
zS;YloZ5QedUGTSX;jo<xnXWGMdb_YJ$c5<$7b<bVFvW$sEEjwWT{yJJh4e>V=y}40
z@|7-3t#M(~OD^bda-p`$1@CuUXno&>)ZH$0*SoOvOBW`;abaVN3%WnKu=`gRJde6?
z@VE=f|G9ATtP4wqT$mVjVZ(J7v}at{HSdDEiYqNzt|S_|a>Cq|GCNnsU0hl3?TTiQ
zD>V_W{Qo+T>`Hu=E5{35S-i-Vu`*XGo^VBdr7JtvxZ?bhE6uOELX|6B)vlDj@5<;$
zuB@wfMfFQpc6{TCV~Z>M54jTit1HL;aAnbPS4O&BS$ozM<snzLkGf)i-Ib<Wu0+qf
za#Y!k5-m4|4cu5`?uMeB8{1smu=RGMG0=_32sb+KD{G3A-5APrV|9TW3lF+cUFL@M
z6K?E#+KuovZgf<*QTVDGgKxO8s@jeD9d2y>$PLSSH}>vzBlH_Lj(qP%{vkI8+TB?B
zhZ}Q$yRoI)4fC^ZG+b~ac+`#d2{&?YxzT^ujTOr7%xbz*W#EpfxjTDo-3fGYr_IZq
z>_B(=!rfUe?#v{)vpLfp;{tc;A9TmR%$>vK?qojgPVaN>EUR#5dZRm)Z@6Pv?M~ee
zcYHr`=g_C_r0;d7r^%i2@7<aD(Vb20?&$yFPVL|Bcz3(g+UHK{1$VkHyR&q{oylo;
zHr{ndSJ{KznjUx>cyQ3ngJfF|PC9$A#LI(;01q~Vd!Q{I>`L;$J=24hd=C;I^x(uJ
z9+Z`PFuuZr_0M^rS>Zv=Mh{%y@ZiAP9>nkP;P@^N7Jur&*cTpDG<l%@y$3sg^uW2@
zgXT^T_}hc7Qy!G|c`!QY!Me*Hs7`pWW7-49yB_RU@+4N%lVkdxEHd+C#Kx1g&YmcH
zd9ppg6Z>#anqobPPV(evh9@QYo(z|GvgQ#_6w5u?w!#zJ=R9eA(UZuHo^)>Zr1))5
zhTijJ^)62q>O86b!V~KzPxc+~B>YEDI)3q_u+x*lE>BjS@?`#uCtC+SvApcb-fNzO
zPJ41>&Xas4F9tNcSgG&DoT(REY`idc_M*Yli{Jn++QYoajrF2G(Tf!sUd-lsQB~rF
z=_6k3dEAS@6<)Nh_9FX5FZy2bV)<q-X102<`8_X;cX?4?=Y{_lUL5|~i_8OF^tO7j
z>=!SlfA^xY%L~I(UeulO!gtV%LnB_KU-P2prWfUNUQ8)^vq{4neSL3gO}+89@ut<u
zn^aG4y8XRb8s^Ppj5iw-z0u9^W_O-9o+aKKT<lHq<KCQn%9|yty_s0&&4yRJ(cbLM
zuC3m<zvoTMhu$RCd2^z{o3gLH8UN0k^{w7${^Cu|@7}m}d2`^TH}Pk@Iey-o#UtK~
zjeApZ(;M|UZ+0sB;H=?8vz`x_`p{+VL#dMwqaHr2^Y=kD%!eH@J~$@&us_|0*gPMO
zJ>bKl#XgKI^<nK(J}9sDVf#8C>|gPr>2)8XxB75&yALHF`Y`;74{I8HQ2g45ZQuD|
z+v-DOn-7t{`_TE955*^a80z(5^?4r_F8NSB?t}GBANJkxAzaay4s~A&^?VsL@nw~@
zFY}JRZ1wQP(%+Z8p}vI1_;Mt{m;7{J26BB_`G7BT5BsuZsW0YF`O@&LFTv}4Y2V;W
z?(4qvzvat{?Y_*`_)_(WFQyH?>}m8R@H=1He()u`&6mCoUzY#n%gn#NZ0_~N_`EOm
zmwfRb_vP@EFPV3I=~eJ!nYtg-x_(re_+e=6N1dY|z8-!Y^7A7-)Q_HMKgtvQm`d|w
zQ?4KS5BO30upiz_{b*h8N9wbFbid%o(hYu0R{F8=EkAU(`?0&m56@5hIQY3A$&G%T
zZ1!Wx4}MJi?8k-<KeYeyW7ofaxcB<eGT=wzB|lDF^`mUckMUVQ)+_j<sqRmWu0O6O
z{v5FKC*IMY<L>?}_VZ^f#Gi_2f7BEF*_q~#bFM$l#s2WHKV6UcQ@Y%r(N+Ged%+*o
z4gTz?^vCfnfA+uYPi&1p$7=mq^tnGHU-`4P*&pQ}{Mr7qKlUB|G#&FN`d@#Jp7y6?
zz@On^f7V>}M{&xZZL|K^Dg@A|7C@wK0G-AG6k7!_<PgAW_W%}r1E>xOz&bjBeenT=
zrv=cF6F^~c0E49gta>bf`6mO|x+(z67XsM(asZ)~0UX&9K>oV{415s4%Gv<t_5`ry
zs{qWK186uHK=982wEq@B?y&&+PXw^ybO5vG0;n1e!1QVWdu{{}I2%CQLIBxnf%NGF
zvfMb38OuO6I|O3v9!R}!ApRkN9F7VkGd_^s)IgTy1TtL|NM&gthK~hO_hcZxs{%Q+
zHjwm}1L=7!kn$~oOl=Ef(+7d**9KC%ClK$i0%`p=kko^LbRQ06>2HBd{u#)|6M^WS
z4rKSaKs<*7IXD(b@{K@F-VS8RLLd{WL2S?oLfbfqU6w((I|R|<7DS?N5GR6zD2obW
zJT8d!sX=Jw1W{8IgllOK2bKg8|6~xyp9x~|+91Z(2T}1_5b9fk*tsnT=MREt{x}Hs
z1ktrGh|+I^82w)m>kbE@`dbh?{tUwLL=gLXf`~mA#IcJ(EE)@9WHN}gw}Vh#2x7Zx
zF!nmZG#LdGZ5hl_`(R4kf*JM+W=(J~ic!IAiwnj!HJHZiU?Pix>3k@d;w8ZhEemG#
zGr=r8A58W7V60yYX5X8^gl`L`V`ngh9|tq|Sum^i1v9@tn63W{#`175dyfPY`e!gl
z{s|_(Czyf$U{+oXX6{NbTPA}sza31&y<mb>Lul6yA=fB`ev1%R*oQFd8bXy%2&Tay
z?1>B^FfN3)ln}DBL+C3EVfjNL%sd*x=4BxmKNCXz^C9@J58?2p5HjBkq4%8-mhB8-
zdUptwpM_w!FNC`NA^83;ghM}tkbWeDo}(d@{}aO0e<5t@4?+K82(?#2@SY5zbtZ(=
zdm(hIgtAmSlu5%-Hd=(DYahyP*HAotLOB=|N^)c<CkbUqN+=Uqp=>A&Mf;&pc0C%3
z`?644R)&)Jd?+Vg3Z-mQDC1S3tbZpI&7Gmt><-2CvrrCv8A|;AP>#2RviPS^#(oW@
z;%F%9|Aeyhzfhd}Lunogg)5<ST@R&nCX~_nP}Zr0p{gCm4#O}UEyCDu7e=gW7{|QB
zSQHe-NJJQG2}3z0jO|%r*cXP;v?z?|N5eS!L>MJ2!x&x@#+sMHP}~&8wyH2}-wC7f
z{V*bThtXLdM)8+n41E*E>XtAT4uw(uYZ%r?!`OE`jPU=$=r|ij;ZPWZqhYMN9>)Bw
zFt*NzVW|?%UafFK4Z}HN9!|bpI0G)>tn?0NE-;)e5#g8<PD64y!CB$77lf0$D4hPX
za8^7K&g|3SRILfe^rdk2yc$kmRXA<c;bgxbPTxo2EUyn|W^Xu~zX`{<C7k+0;rRa=
z&f!18$vhrTZ+AG$&W1C6A)Lz5a15`9Q+F#I-}!J3DMyg56+w?d1m)%tOxZ@T$t41P
z?+9uGBk+!hpj9GBO^%>DGlHcB5llW9!N#%(bf1V|_tO!0u8H7aMFh#OMsV_t2$obw
zFtH<o4If3IT_3@&y%D&76G6-O5hNap;6!@_Wq(94{&xiHyCcv%8$r#52wX=aI4}`G
z{H+L%-;H3gawKD#kyIE&qHZ3^PTNSFT_S1riiE&Oy22wVl}JXDB3YLiiE2S4J06V0
zu`H7P<&nfb9m%ohB3V=s$;ie?*1i#ma&;uzcSK_UQ6x>DMiRX@lA}$Llzbn_@Q;zK
zX^%wlk4U!t9f@ssB#nKML|%xb^KvA`6Ojx}N3!~EBnwJWRBJ|IZ4kvivnaxCqv&vs
zqR=af!GI`Mg-0<T8^zY7C@eFh*qa|k=z~!lc_fPb@+byYM6vR@DCS;_V#~%T%-@Kj
z;q54bcSO;?D~jAtqv-!4iWN;!%pQoM>c=Qd+oRai8AagVQM8?kBD*h&zQHJ#Uyfqt
zS`?e7qcFZ3MZHoq{+iJo){iFBESg@MXqGugGwm5oWk58B;nCE^M&p|l&7q8F((|L~
zDT${1k!YqKk7m<~X!M_pruM~Xyf;SEx;dKEx1;HPFPf#hqM59VX5$yp=r%>O`#?0F
zKSp!#muQkZqdD0X&5~2mOq_{k!(cSpm!sKrEgJXfXj<l?NmPpAghmWy`Z0`~#<1Qd
z22JM}YCL0b4T#}DSPb#8F&s~fVR1$bV|g)Dl*FL^NDMn4kHL9G49%-!;KdlaUWuV}
za}1+fV_5fI463_g*ijdQ;}<dP|2l@)12G(HjbYI*F^v2k!`iMGluyO5{Y(t@gE2IX
z#1MTghNCxQD4C04STUCSKC~$6$Fj{d7F(NG8l7T^^o*s`KbGRKScYO^S)CZmLV7IK
zd9hfR#IkR3Ea8vG((zO*g{xy3To=o#S7MoeJ(jIoW3hZMmc92QfkNwIInoeI{@1Y#
z+>eM^*&54STP$0CkH!3cWJtrwSc1>Q(tbXc-1`v{{o}E$xEagromi?A1yc=SkDd@{
zDzsS(*-k>Ahj8CcnfsQ)+_%-mI8mri7yR>t!w(3Vi-q2$_w5j$5~iOOD%S~yuLyOo
z3%*;0L)(S)4~3pjgz^Sqs!`bVouJ<;)V2xUzYDE@38^QA?p|T(d13OBuyI__y(#Rz
zBY57&u@0(3^8K;wNfTIdzdbwQ2pjHy)3ooGYP;@V*Y5YXtR(>w)8Rxelsy3B55xMU
zp!pQkJPWSt;J^lme;tm$1&g=CSPfKs0_qL--F6zm`8#O-0ceA+4k-N#M*oF%y`Xv?
zc3c9-ao9fvv3KB@LL7_K;~3G6W35RX%GPmgcZ|c{BaSA&IHE)2I2s*CNkSaMX>qK{
zjYIK)IJP|;hwaih8kffr`D`4WFT_#2A&#NSI99(E$HKdDRM*5|{Yf1AK93{3F^-Pr
zI0}D=WANuVR&~TNe=Lrz|Hfh28^_*(I6^PQapY<o`BQNW%*L@&A)Yz4c(&-qV{Q^p
zgH=4ij`6g+$CK+9Pk%@}E286>jgO})EgsX{c=i;>6ZmjEZI8v1y*!@2Rq-r;A)c9+
z<JnvpkMUda)V~{#e@#4xYvalMJf7aK;#t-l&-B4~Du0g0up^$jWAXU@8_%KB@uUyL
z(=!}T`PF!)Zp5=`HXeP21Zve1@YYSB)i{Avs|30o5?Jb<z@%>i8$%M%jZR>9d;*?n
z2^`ExAh|e!lcfnPc`Sj6CllDPDgo^m64>=}0`8Rwv}{Qr@!bSYe2_p{Z35$a5?KFL
z0-DVU)ErE}_2&c*{FXrcu>_8vNMP~l1jf!KP%)f<`qcz>-blcCHi71a`v*xakuIG?
zN{tg4wM=B4Ln5l~iR|!A#4#k1{ZWa;#wT(tHIYR*iHsB_vbHo4<;N1){$wKds}gBi
zn@IG_i5z_`k&-Qm3~x(h%?F7n)+VxTPa?KoCDQn9B9R9Z={%fB@o$L?{h7$>6NxPJ
zBvO4Y5$oYZ_KhVHej|~N+ldq|Br>R)#44R6=8clrYMF$kLlS%4k_h!p;z)23`B6y>
z#3ivZHHo?GB(@YKVP2X<!;&O|pG>0tnIv-8Cegn>i50IUG5cl`Rojv<{UC`wA14vG
zCyBOwNo0SUMBo3CSbjK(nIlPT{xb>V6G_zfB;kK9iNhC@$Q(<ecQT1(x09H@mqev%
zGKM<I)EOn?YnjX;`()DHlIihDraU;AsmNqD#U-PknoMnWGTueWv_6zf>XKx-mnF0G
znPeuPPiEu#WOQFkX7`)Pcy3GP;Lc={KThW4XUQztm(0ZeWH$US8STT#>^hQ+`=80Q
z{F6*#PckR^lPSBH%=ndL)=ws*c{`b!d&#(}rf@(zg?OVBj$5R#*gl0Z*AyyzQcw?0
zVP|9t&T%O;r=&o33SEUMls=Tg=%XpDTb6?AGb!wNJ_X11DeT{rLhPF<9D65)MLSa%
z*`31L&r(p{m%{e_DcJung{GfUh(40S(W5Dp{FB1)e<`f#PeJiw3fr!vU^|&Y<4g*X
z_fqIoNu^jjl_A4aR$HX9V3$g@Ybw@0sq70%B|I{f4pJ#hNo6oAl~skQ%r8o1>!Yby
zE=y(a%2Yz1Pvyu<spM};WuPjRmG7i7_kJo{cBf+gSt<=*rV_kAmG+iYa(_yt|JPJj
z98G2Rcq&!@rDEEj%ATQA0<Wafc0HBsnN<4bQ(3N(#*9`Pn+?-2wn(GiE)9RzG!A>G
zkr|XmZ$ui)NMkxVjmoSv3=7k!Ta<?HqiGy^B8~KwY4of~qx_{brd~~BQ&k%J@1#-t
zej47p(`c<vBlXKPy1z+dX-gWDhtk;iYZ|&o)7X7H4bT75ICwUV<e@Z9j;68XdKweA
z(%3MchPFyNyR_1AH%zC+Je@?lbWXUWQ|6t{cwjo~Bht|%otoryT(i<SP>@diqI8az
zrL*{nbjF@er(#Vy>My0U^VM{mtI}z%zW<24pHA0D>6F%|GrBjOb>F0;+LF$WL+LpF
zn$G?|(uqBu&av)v7M)FJ<U%@YN7GThp3e4L>DbSw)1;h1v{nX34KgS(&tTX#gEcN0
zD0*kGEiePyhzuGfgUI9zIx{mUF34c$!3<WHWw215LG{xaSg*-oUquGtuV&EkMh1n|
z84T{oVAV$%%zv7}*1Z{6ev`r8?=uKJl);hq4D$cTVBqfzR(5AF*O$ST3mKS?X3#K^
zLGY~%+V5tNtDH%{W+p2PGMP2Yq{=oEQ<qHkcx4h8m`PiBCfSlnUs5K^Gc%dV&t&t1
znHZO4QeU2l|I?WqelC;DicESpX0q&!Os3z?q;f|lh96~8_h}}+dowxIlu7#cne_aa
zNqKuFQ=OS?`a2W-?o4X?GV#8UN$cfIQYSL$p3Y?H-ApExve>AZg|0ysyUnujw9Vq6
za~8>7S)2^WVo7)w6R}xrNXkMxGmBmMS-3x#Mav^uB$j7!Vnr5Z&t)<GVixN+W}*2;
z7Bz2Y;kqM>1G}<_|1^u^Uu3bkDT}cKSycR(g?f7yJ3F&*{yU52Q(4fLMb}^!rI)i9
zy_Utg=`2+5X0byl8%ND-_UmU8YnIJ1n`{<2XEWlN&Dwx$l*6;xem~jFJ}H}~jBKLw
zvpHIlP01tK3_qUDnibh7K9|k57qhY5m`&s6Y$D&zrt`gQig#r*RF}=_FS1$qI-BYP
z*;xOW&Awl<3Gd9Nqbr-jQ`roj$!67HHuEFdY`vC^<#aZC=duY^%HfDc4*B{y44CGy
z(k6#FryRC;=3pL>Lqk{&!Ld2CC+3iwkwbr84l7D>m|dJh)#EvsuE=4}>Kp=J%%Sa-
z9I`j((6=>*<?rP%^I;B~>vAyuB8U2~bMQZq!{OE(GJnaT_xBu@b>%R9GKb1DIT#M+
zP&bl;@3kBb-OM3<E{7h)T*@_anbON;lW8vcHo4R~<>Kv`ORIk_sbRTv$K<j!F_+2o
zTsG$AqFa*7?!~!yKAy|Lr*cVNoy*B}xh#1lmx<SN*|0Si?e}uo^<ggVb-A=O<dXPx
zE+@XrrK~lV@wQyn|DKCxS1vUtb8$VB%YpN`#E;~1d_0%MH**=glS_qS9_ku-?9|J{
z*))%4>pXDEqst?YQvW<gL-SY{lZR?z9y`+WaLmhN{{wl%F3#iF(mWPDmB+}ld8}QR
zhw>|VY=1ou`>lC2ZO<e6!#s|Dl1E8H9>a}!tobev#nwEwwdG;^dmfE{<q>%@kIvpa
ziqGdUbSaP3<9RGh<xzbn4{ODI_NnI+u9r`TNj`<v`3ySdv&ti%dB1$NhUQ}#lh59S
zd_vRnIg*=C{sZ|8Je<$UrTNS)&u7cC`IxWEr(r`r!LR4j{#HJ@+w<wK$!EnU`OJQv
zPgP?+rr+hW=ZAa(+wy7a$S3=+eER;)XL)ZvGXwc-zLbygcs})0`S{<-=deNnnd$}f
z>K3rfq=0Fw0xBH~F!U&(&aVL9&;kxc7m%J%Ku=l$<+%k+6&JAS;R5uR7Ersq0PklD
zXnmo8)C~o6R~E4JtpX<BEns6!0lJ?Qu>11@JR1u**jzyJ4+Wh3xqu}d1xy?(V8g!!
zX!jPdYoGx4O9ixCEg*5KfD^L?lqnQ4u2#r;-9j`?3aPOw#MQBo1MY>y`xSCLq>#nY
zg^a})Qju1OdTt>*iwkjnxRB<@3SoI6U8@QyeW8%imkU`}S%~Ueh3t5@5XYKA_SY5?
z`*|V9zA9u<b0H%K3t9VfA<7+vY(G|r{lA4Yoh~GLppc`(g_K+^WcWrQYi0{kR48Jb
zS`oIoMKl^05ouLKr$Z6N?nMmw7O^^{h=r&ks^g2WPAg(xP7&e7MRb%FQTSL9gHIN*
zYE=>QYm3<WauJr5MeN;DMCiLk9QmM#{MsT0_7t)5t0LyUEn>^TBFuj-qT#n9f{zu^
zexiun(?#^3D`LfP5wl}ORNW}Tbhd~+3q=H~71O3uOtx_`eU`;6cPQrn8aVgAJ_H2}
zn`CD)lg=bFnaNBt$xLP*nIw}*zW4k6e!t&klFlSMlT3D!Ofr+1WRjW8WF|AoOlC5Z
zOfr+1bo>YJukZUjpLg<d0W}2zvaS=*dZU0PB?5ZO1gyGSz=8V&m}CM@XauY=3&?Z{
zXbA`?hzsa>KtOq&fT0Efh9?9Ze_B9wn}9hl3fTCHfc$O&+j|9+y(eJsLjk&d0w#t8
zq`np~`-p(%F#(Hz70~^MfYNCJ`_qMJ&K5F$o{&V2kc>-&Y`9#=q5>gZMM75IC}iI)
zLR4i!j#UVW-6v$0Oh}VPNS;~9Hm8u1fRKTh5XA#R#vT?DX%I5=2_cP73t8AEWNXJi
z<?$6EdtVnK>lHHECnWTtko0{*)(;6;@U@W6?}V%v6S8MQh~y6;NB<TQNEeZIwup7-
ziO9_nu_af;^2<f^UnN3RB;rW12;VItW|WC&s1Py#J`tOxB8oL4cAG>9oFYd2B0Mn>
z)72vC9~LpMK}1KRh-FWU*!8T4styr{J4Lu&7cupgh_!tpay}H%{)vdCLn8WyMO1z#
z;?R#G91|i=O^T@dTSRucm`xdCip~?W^8zuebHxnjiLqTJ=H#_vYKz6py+ush?P3Zm
z#O$aNQy~>|P%Xw{5;N%#Q{xwt6%*51EoRBXVtOAHv#L?dfo3tLXT_X&LCl&?F`2K6
zX?aUbL7$kOelg{rh#C4^jA2;J@ewiAKZ=<%A!g&GnEb!RY(GOnS%!qcObNORBurc^
zA(ba#_Ei#^ua&U4SVA`vN^h62|1JrdDhcBf2?@1?43mTn4hf6=61t)iR#r>cS1UpF
zsDxvWONcc~nDwlLrWYjSbxPRQC86Xk2?Os+Q1nX}8;}tBT*Ay@35_EX7XBz<>n{?R
zl(2V7g6s?_qi0D8WlBlEK+5`yr7Xyk(wQ%1#kErQ+#vlYnUtfYQUZ5LNvo2wP9h~&
zEoF;Q%5sO4exDRkRLYV2rTA*4%y?8v!{busH%r;vDy8@ZDZ5{mBIuGb(j&$5u9WEy
zq|^^cnfJMrj<2LF8<DbWR7%w^QV#zv#Wf{mDow`Pvt;CC%4pA)vGigYeV56o%$ISf
zP=@0M8K-WRQCBJ>`z{%q?v+s_k+D-HW3^Gnuw91DC*x#9M(zDF=GMw+tCvyuxQrc7
z$*5?Raj;#6<z*R@ugR$Ck&*STjMfiiEE$l|J1Aq-S27NKE5kG@<HWd(HNVTqoRZO!
zCa2&mIX&mfDbJQOG+&P4GC9Yulv7<OXU+|BHr^~Jzf{ilRdUMil`|-oqf^P5Fvv;S
z<;?cUX^zNQe7~IThvbyj%h|tPj^-&j<Il)Rw9CnOS<Z&n<Sgou)3sC1$`9o1`&f=@
zP|mS~a$?`gnKde>X<Sa;?{c>NC8s1!!N4p9igOi=ov$D=U%|}F6f|C`U}2$xt;-Z}
zvx2?1DUhvFFj}b~Bvz2FQn22jV1Zphr&qy>h=M&S1(Jsp9DPJVV7-F0rxdJvMnP`7
zf-PGVEPqWw|C<U#I~5$+t-$xOf*FGf8V)L$|E+?}KPV_3SFrnp0>NJjMow4anWbcU
zj*|NGmCT#3q+_9yWmhWMb&Zm$Wl9dOP~y5x$<&=n)>bOX5i4m|Dp_h!(q~gr=~Z$l
zti+L0a;ip2-6Kk}*DKkyK}pdwN_IZ4Wc3y$!`qbD-c)k(9VNB9mCXHEN!w>i3J)sT
zaac*k4@wUHti*Cc$>b>|HK(h{nx&$3j*2DctLVK*#j1rW4lGt-x<<u`>s72-p(67(
z6)ktFD5zA?BT`YWR57GiVX&z<?om-4Rxu}~Vq=Yp{6|!5|F4R&4Jrm(ROp^pG4Ya$
z)HW5f-&E23j*7**RdnxFQTmyR{a>ok99A)YR7K)v6&WW~Y&fN2(dlZs{-tK+95wsq
zs!?5}=GdibVvE(xx<*aY^=k4~sM)qsP05{V2JTU#5UCkcsEO#+%(SU#^r%@FR<kv!
zh8i_{*Q$~ISIy{?YC<h)(w|qe{v|aFwyEjdu4ctMYWBRZMzUAU(fw)yU#dwvtY+O&
zHMu{l+47s3<)_s2&(I+Hmxd$fXz<O|FykT(4VP+|zgWZOB^rva*RcC04T6;#M#?pK
z?$IzU)KIU`Fi)?c!>VDKN5ig=hN`57!w+h3t<^BKPQ%(KHRQBtXy2q^=}Q{=Ue!>!
zUBjUr8XWIyIQ5Z+y8Rlmztphl8x2KAHS9d5VfAkshX2%Ho1x|8Of9wNXqh`#OWQmx
zg_mmCafOzOC0Y(H)nd6x%jB(EYRa`_-J_*dsAY*lORrALDyx<QZY`#emJ<mrYaY~+
zxmHWdIxPiHYU%l(mhw$nhBj+4ysG8+8(OM&XqofAmW>~2$=|PK`vEOw-)I^9UW@LS
zmWkt9Qh#chJwr$HOdX5Q(b4^H9i{Vh>|dZmbA^uat92xn>d3fB$A(*VEGpO0wOYqY
zp^klW9V(rUV-_7Tw~kpM9Zd-xc@OH?_8%Q3>vRk>=}`Pn$Jlc^BAa#0d{sx|8#)&5
z(6M#bKcn$SI`)35Lv}#N=ph}U?{%af)3N@zjs<_}=sZo&ikW)$%+@3Mx1OUH>Ip2+
zlXiukbyw@jU8-lxay`p$)zg269?@z&M+AC&ay>J2dKxTx=DYQ54(cgR=-ItSkKjLg
zMjq4SY0@*jQBVDIdgg7`)3H_0vN!bXdRtG`E<K0$=y83jXX*<*YY*wk`Cd=^PkNRf
z*VA`WPvvO_4xMShG26hYECY2H8pvK?VACQ4MOPcxd7XjP%MA>d7_i-8;N;x~Y6S-7
z$_=z>4HQ}o>~I;V2pTvTH(*&~V6x6Y&0_|#nhdmVG_d431HCUAShdx_fo=n)w+)<l
z&%l~J1~NZ2(DH?Wf<p#+ju<Ha$-vOB1`H<+9G^B&eWsB)vyE)bGLnCxk?oflDO+S@
zu)v7!IwKP|8cCHHnSF<m=DUq778vQ487b8o*>5(YaTys87)iv9WUMi=q0Y#n$BcA6
zVPxe-Bm3Hns9rR3>=h%iZX>haHq!K-k-R-dw(T=g@`aIsuZ<{<7#SNg68Y80%#%hM
zr;RK;)5O-ZO^{_`Z;lDsB_>8MHxVi@k$#<t^*5SWP-3F9%*2YjP3*bPghXcIsK!LV
zY$DBNVqL&QZrsF{2TUxlGtu8*LiB`*BTt*~wV9alqKSrAOw8{#vANeo@p~qAe`rFm
z&&0@(3D4IiroS^$KW1XyuO>SFFtKdf#IAHRRcD(ye4ZIsj+v=kGixt5lT%=(y~xbc
z8_o3HVy3dp%%KW1j{D4<lA5X0n8`Mq+2k}+6fm<hW@hyRW`-X&V{0&Tve8WK(`M$j
znQ7}VQ}~LR9j}|I=rwb&&y3|mGn1c~sTnep^|hJS@60S2Gt)a^X4M~N4*YG#ly2cf
zhJ`ifS;)+>(2{GR;BpH+S6L`8vM^L^!ElR(<F{L=uCOrYJ_{SA7V<R~wwo-JIV}wO
zE$CtvCaNu@9=0&M!9sJRg~d->=zi8hX@`aVofb5&TNr=KLZZ(?#)lR*d}3kIkcF;c
z3oE~~u<u6;stF6nCN0GNwlFK*N>hfFyz{JVyTD3Gu9bm2D~hYEj9qIbQfy`BEmj(D
zx3aLp%GRoXfRWV7UbPjO$;zn1O2}^|J!WNnwUq@ATj_k%%8EuSdz!6Cp0#rH1?xX|
z%~sN0x3canE4h7Ew)9(B{)v_T&#j1ttsEJ#;``Ccj0r0ZlUC;cZDsQrHi|QB?9Q|y
zxWLB9#Wp;7Hm37!)L(03Ua^f1Y%IIo#;&_;R8`qHEV1EI+n6%iSnIHn<G0ZswXw9?
zMqjOs%13P+dfbMi*~Y0>8+9+($nLbUsmn&uTQ+vSYh!i4jo|?sw$E*x{K`h{h>f{F
z+GzX5M&YE59aA<c&aiXvEIXD=JCoUVYA&{um1n0l-_DY2?eyMYXBBo1l-e=fW#`1b
zcGgJjWUB4780{1|?DY8Tlt=9h-EYTGYv*{qo$AN!%xSi>vDHrg3wE}@Y^SWt&R~xn
z-Me-sKCqJ-urvE}JI!C&Sv+E=d(=+pFLw6-Zbvg^XFSb8;w%RlnGQB&J6LqFgRaXQ
ztju??uh4<&2FE`SLk?o44rblupy^%*c@hWPR1Qjv4hHNF6g~%I5eJd`9n7qC&{*$a
z;o}arKIMQ`2YcHc$X<3Z`kI4KkAw7g9jyPr!GZw?or4ZmeC1%zw+<wu4vvmH2>k9K
zZOXyAG$*-dIoWcqljYe?`sX_lUFPJ-l}>zxPG;QTq~T^K^Gls<Ugf0tUMIW7P6R3^
zBL*iPyOU|Jllq90dG|Z%c*x1JdMCTqJE?lg$>C?5xZ0geZE>>pH77YePTF@mS^9yK
zzK@+$4mvq>(23()C#QaJQaA1-`*$as{&G^3=3?h87pu>8F?_xY+k6)%7rLmu(#70D
z7j4U26yEG&$89buR=GG>>B1s*F{yM>V{nmWchTx~u_WT6H|1j0LoN<H;=;7v#fc3r
z);!}Pv)x6@78eDtx#)S*Mfpw_L%UrVK6Y{ZGZ)ndUCjB`#l|08<d3`9e!@lBUoHku
zccYu-W@3(;)cI~^&v(<j(9Pm2-E?2$rgWK`{VUvPZgVq!r<+8jn+&m=4N5nQ3~st?
zZdQ8T><hb5rQ95=aT9yQ&8+oqnl`w}d&bSS=iQWSaWk;Zjp9u=WAC_$>~=HrV>gYT
zxmkG7&DO*Jz~Ud=?ETq|?1Y=qQ*J`1dq|(<Vf`Er3(oh@d69<|3q9;v>_Kvkhojef
z2(0jscAJNFcY4UJ^sq(bVY$*nzutq$=HZCPgD>o1M#@7&jfeS<c-Z`355*fi>~8TO
zc;3UvOCCJiJWOx*Q2&mHdAmJy?DeqhGY`AI^iXx!!{MVITt9o5`pv`IQyy|o_tO3^
zFH7fm>6`1N@**#XF7@JA?B&!FFLl>@$zI`Q(@HNzcY4`*kC)XVFT)BiHocdVRxh<4
zFLT3Q+LB%hYrO1O>!sqqUJgF##nR$sa+8;um%L<c^U}KA%aV7z^uF(9)m|?L_IojX
z>E*;XUe+A-lKHcjmfyS-obu8$!$<kQd<>oA!!Xy!@p(R~FZD5Jv5$>QeB@v6WBW}$
z%2xUqEcc<i$H#=wM@r#iw%$jx)yHCwkM59<(xi|55Bkuo^)bHAN8(8z87)3GZ1S<_
zB_Ca{`dGQ$$G#mtRPXyZ_K}a+ejl^G^wIQ<kG!KkwjJ|P@|%x=KYb`>_!*n&CvuLT
znRER#&hxYIQa@X-@WT>6dzbo=-Q;KVRzIO~Kk4`QSuganK;frT=Vyi0&mOlQNyyL9
zgrC5Je$v+ZS+~wl?vsAD{LjzwO@8_}`w_kB=g1p=d^`Nic;8RMM}Fq-_p|wcpW<))
z?Ec=5;FzD0<9<AU`k6j0K>f@B^Uev-@$Uf3<^|ZbAVAd>0S;dsz_m2M)bappZw-)B
z9-w`7fTh9!eewX6x&VhP0UYiCr-A|M5&^Ow46x}x0gBcI*x3|d_5T74KNrBZIl#%S
z0czg}Fn33Qwp{@VKMJtp(*P9*0vtRP!18^7$)5t$91oE7XMonzf-IRCq<40ZRsRlh
z;KCrL1wl?M3bN+vAel>pv@8!&aBGmBJA#z24l*PNVvq+pt_@Oc2{OkWWMeQ$ej>>B
zH9^Y$6J+qQAiAa?6B~o1o(nR2bCBk(K^DIer2Fk4rMrUc-xEahX^`<Rf+P+F$@o6V
zhM$5gIv%9!WRR7oh1hpy2-WNm$Ff4iE(|eiL5QYBA@Z&cvF*ALCCft$l!Q>+5n}A_
z5D`I$neq^g+7JsZA-1~y5k-O__QpfV)`S?X3lVxOM0!(*^&3MhcrHZeiy>BQ4Y8*?
zgyiiIN8bw(*b^e{(-7;v2$6dz#Fir=mj4u@|JM+rlOc{whwz;lX2$F=4OwC4Ul?Zd
zC1Hveh1p#YMsQu2ksHH!O2SN+g{i+g%sfGu4q2FG+AzD!VX9nV4hO=x;$fy92(z{>
zOwMCr+MfusbYqylwlI}1hB@>~7)N)QQ@vs8-V2kxC(NdOVT!&8v-9gPtB-^k9t&gp
zHO$FB!qiTOnR{l0wzDG?W<}VM6QSag2nR2ZU@3?&Srnn>#t2y@5n9V4EV(;E?|l(g
z$s!!kL@=2noNz{16Nr!*kI?c!go3&VJq;1cpNKH@bOb|NgyS6%s$YpPr#r&N-U#{c
zMcDpfgtC1R28SZ(zK$^QU4+zFgxSAFX#OL@;^_$8=}}70j<Wx}D4Luo<GE21mq*Dc
zh_az5%Ay;iblnnVWm%Mc6;V|8ML8yo64OMPWscJ1jFK0KvMm;+<bfyy4@XfnL>X(0
z5_vkx%(f_v9Z?p(5@qY_QRt1bw=at9!ziPlL<tQ=N&h;^`tPDF7>m+55oN_6QTF^D
zMUo!lXhw{{c`?#*Vyw%Jk$ZWJEmy@@UKFFhIELt!7)Nf8;j4%-<GvUT(irnKF*ciG
z6gy+=_Qw#!VvJPB@H`x2`q3EmjWOmu9i!vf7|S|h?COkB^?HoMZ^dx+#hB`kvG$V~
zIYTkphhr@LE=J#vF)Alw9GZ;b_&dg_Gvd@`#K}G{&ZZ0E6y?U*nHOjERdI%|jbkg0
zbCNi<x5t@V5vQ#xPN6i;4t1OgQ=Eg2I2M1L$!MIK>Nr^s$7y{u&XUGBz0Gk}Jsao1
z3vo=HaZYr_S@Tw$%)U4+{c#FDiPQ6Wobur~LnCnvKgK!!OPuP-ICK7vv+;}s`56he
zXC^4SAi?0p33Pc0Ch`-cu1zqzI6*TB7T=zr`>q6~RSEV>5@^&3#*GOQjszM01RJ6W
z7F8$cs!g!+(FFS*PoQc}aI7^!?1cogIukT?CCGa#!M1l3l=LSU7)YS_Ji*vk2_hp2
zX8xF<@s|V(ClhR)`bQEwBgx*glE^ZXjAkbZU7RF6FUk7+Bnz%h(s@IY6(reHnnZF}
zlB4$~2}qKpsgtZTCdqXq+2TvGJes8c{v@K>BuDC#_#RI(qd7@KYm)gdB-#9OlH#r;
zyL*xd-c2&{K@!hElIg)D^<O2KH<F}dG|94GlI;3DN!3)6!)Ym8XQh}rH^tiQ6gd~C
zXumAQ()<*Cg()g;NO9=q6pqpqr&gt?yEjF)B*i9GiXvl*o%R%~eJO?`DQx$rIQdYD
z+WHi8A5YQtREomZ6g%2eRJ@$x;A<%?Jt-!4rl|QKMb<!y*1;4@zDm*iZHiT+DGrRM
MF#Vq5#9t}?4`fj0-T(jq

literal 0
HcmV?d00001

diff --git a/examples/ode/SEIR/SEIR_fit.mat b/examples/ode/SEIR/SEIR_fit.mat
new file mode 100644
index 0000000000000000000000000000000000000000..c67dd93c199cebc6121e7491abddb7e38a9c4d5d
GIT binary patch
literal 160184
zcmbSxg;&&1)VGRVD0TtvE=zaA=hB^mq|zyhfP`Y8v@}X75&}v{DFOl_-C>KU*xjxC
z?DzYg^F05+1Lt#Y&YhXFyEAw0jJdXrnYNCgqLhrFxweg@kDtG{;0Ay9P@lly?P`KS
zfgyh35`wzH-tM8^UV?!EYJwZxLj|?Nd<ErX1!d*c<Q3KA6a?jD<YcG(AO5Bqn=fRV
z$?TXmWhO&sGnn;1VP^b~yhwP;l<5pVmH7|<UpwP}adedaKQb8zFxW9NN{Pdx<U2G<
z^9M(1SN|xT>K&z$?osmW9HlpHqom$CO4iMzB-=Pjx9Ud8sCJYhD@Q4+Y?Mq(M(KXR
zD5>R+l55r|S)`BBtfWy&iXEl#{iF0ge3Y&PkJ3K>QTpONN{X(dq~kD3Yph18!+4aW
zbw+8M+9-v{jgq0*D7{=iN_MM8>CmE4Iy!5Vw*MU=-ftsx;LQkKcr-!-<0DjjafFO}
zMyR8Cgr?Vy(8?1d^y|n7)ufD&bkqn%hA}>VBb4DhLL03{=$YOK8LEuX9`O;{&(G)<
zkI)aE5eoV~Of4^m>BgO5>KYxU$o64cd}f%!iifE>W0=mx3{z(4FzI>^Q@`yntuq)V
zBc)+7<POv7<xHCy!$jYPDDCMGHC!K})7?XKpl*mbMMHEvZHPYZ8=@84hG?nd5WO@Q
zq6~#0TEZHlZM;Kt?DrrQy&9zbHwQ_+XOKEi50X&+AbBJVQh4Yf`M3>|q}d={R30P)
z_8=WyI7q!e259K%099NbAoueF^z|e|(+B9(?g1M0WNhXGRIEHew(AGz>D&Rb{Mt|1
z_xh=+zn>aU_tT-H{bU%`PZNIqWNO_{N7eeNht*FbbNlJc=ROL#(??6Y`zZ5NAALO3
zN8;gqr0?2C8U}r|OtOzgmh_SP&tAIuu$ROKddan>mqIdo$#-`zsk`>lN4;K(6YHg4
zyuD=ot%s8C^w5cp9x6Q9Lwgc?NF|_$Zdv!xCgmP#U(-X=r}U8I({557>?V=wZu*(t
zO{YV;$<V%=depj!#otZdQ@bhUX%`(G=%R$mE^<okqGdr{RBzoyN{U@nxT1^R{OBb9
zyPc%e-bo5YowPE#lOB6^Qigsfi3)d8+3Zf5`?`Z{M>^<Wbq5utG6?9P1j`O`km(@a
z#T``psht$BwNvTYcKVaiP8uQY<h!w*cFVU@=#qAF_|it)>uq%JY#Z&*XrtM|ZM4s-
zjqb>_5o=K!*?zb{!Iv)3o|+4^J>>$KZo5EBO)k)&$OZD9b%8!VYo#r{tu$QHN-LvU
z$=bD*!l{*#*R)d7kMp#1{5)AUo~Nam=V>75Jo#Fjr?2AYDPYcdy7|0?BzjvYsJMkn
z_P0>?<`%l5(n1%PwNUftX3DtSOq;8lX-Q%;o%e304LZ#<#@|dPznZ9ayoshYG?Brf
zCfeiQM1@98be7XZO;ehv`tCW(Xg)`NS?5SL=p4N^Jx5u>=SZ6899_8INNVRBsWQ8f
z=I>}ESF=VsDcneRr!~^d`whfuX&~9G29gVGAg)OREf8v;7ys(1;Z8k;HP(~pp?bQq
zwVt-=*V9jddW!gYmcHINORlHSQhVZATI_X}95v2T_R6!=|GAFdj@Hr4@;X`;RY$8g
z*U?hNI^yB2qn9twP<Qtk%E&)M4m;1#k_~65SM&_|^PHi%_fAvcxzkKvr>WBKG_iC~
z)8VzJ>HD`@vc6nPr4_aGF{+m2HrLWNg<8sAP)ohfYv^f54gEe^L-T`cXsIa!4#WSc
zraxoV^t`s31`bwJv0F8Ts#cR0Up38mQ$;;JRkSC+ip0XI=(>3o?c`Pw-@i(#7_TJd
zGnLetP)WM(3{_=hK1Tog6fNyJMSJp2(VdV}q-b`Ek~ybn;&%mc$12Fbrh;nXD(IDS
z1qmuu(8h%o6!pBED%;EHa!xsY3@E4hhULT&C?}Q4GBUbcMmFVT<aD5n-0aK9UAl~1
zW|fh{gHp0+DkbgoQj+m4rL~%+G-E|6y?K9<F7=<J+QO5RvhyVKeL6{++>^BI?+JQ2
zc7j@JPEbPJ39@lMLHvp*==uB;RQ<Gsf-aPhTviEv*;YblbxSC4O$mvADW+$`#Z*{Q
zOm=&UX})zab%_>J*wkVYxm`qe&J<B{LJ_IE710~zB09!fL`E-;)A#n{bTa2SSp^)Y
zzxv0iYTa?N|5ivm7Yph1$wJz^uaIWh6jFnDA-VGu(!z-XYCT&(en|zi!lQutRSRh6
z;sWBn%BS(pd`di;PYBAVkB0eFDv(c`C-aE!avlwr<x$N3Jkqesqo0y_)HEZHcHTQi
z%8ke9N6Im3^EyT`I7TK*kI|C1xpcoLm#Xq|X-`NlnVRMjKRcJc{ya*f*N#$I<xz@>
zK1v>&j*_n2Q4*eelomcdLX#~==*i(Dbj|Mw^=KcVrd3CnH6w>AhH|L1n89v_x5}Z@
zqB+zuHHZ3dXVcBPY<iuTO;bIxX{}l|sqtl#)9WmX>dvCdV_7sFoJF%uvk2@g3jLKy
zXRc?`$Er+Hh|Q#ZPMI{QkVz{SWYYF$8PwmFLF}9iiVeu1*9IA6BalHolZQ#^%3-Rl
zI80(uhpEc(Fv-dtrq;QK$>hl)y5D+;c4Zx+W!n!?ll~!c;Xg!kC)4S|<#Y<ENN4uS
zbo%I+PUqy(DQaFiSwBr9k+wAA$w{N90ckXBm`3LW)2RGMDivN!rDIj8lpmW)C!JHN
zPAQdoc~j}$%M|+El|q7fDP$6wLVL_p=nOZ7-u_D_soTl4^K3HpCMVNM?_>(mNTwSr
zl1cqj5>*T*(b|(qloOFe%k7h>KqiUA<|a|wlSHy_OQgx1L@EqQBr}sln!-t>);|ff
zZ#;qY>Jn&4ass{bN}xWC1gcn>KpCG8Qq1T<+FN#z_Cy|}$V~?+RpB5NFFZ&WUdGe?
z?s%G25Kqdx;wiu?o~p&;>C=pO(s&q08Rz5ZT~-`f2F6i~aU6+p;;7_rEU|9K(y97b
zQb~)YOIu>eUpJN(^T$&Ae=!t%J%*%eW9U;t3|;Vyp>&NH@>>-{reC8;@p3eAE2Bvu
zE}8`0qDfRen$(s@)5cFx6fzn`dF4?w5*<Z6E>Wbb8b!%VqiEtoB*~9NQf65s{fdgD
zZO)POL?x0umqya~g9G$m&H)m$I6(e04p94r{j@%GKV^yUr<G44sQOq0Sy@NW%()RX
z+O>~P?A}L7vim6d)m}<2-b<y9d+EyJy)<ul57|fWp$4@*#QL(EimP^$tk-V3wstqg
zj)jv^S~#sU3@4r`;q<e47flP^MQg=(k>S&w6jQL1uGsA)=|wx~_)r+Fj|rm&gptGd
zP+E8<l*ar*sg@l|x%WaS`$!0#unM8>c_H+rFPM}fgDFWZm_B~pL0eAmpwE6gD2=m&
z)E@-V&)gsyu?eDD-XJ<L97vUMfz+cFNbi3Ika$x7?FkN`3CRGmc(t9bpWIGc-L}(`
zwcF{^xIg7(`qLguf7&+Bp8^NAQC!S6s?pp=FMe$$`R1*Z5xSLlWVcfMJ3m@m=|{aj
zezc$MN2U+AkXXSMTC-^j39Q&ciZ^`8<*+a1TKLlQdA?*Y<U`HzK16yxbYrRy?eFj=
zwFqyTqwY<w|MQ~z=e+1ys2BZ}^CGcNp3Iy)sb#w-t&{Mi%-0^Y_LK)T`FfBy*Mqpv
z-08;&cY5IAPPf*()6<7;G_A;u<Xzop7rz@_yyr?v1+H|~$(6L%y3*qb7s|<VA?M95
zq`bz3*b~mg%5x@#&CcYw#+eRJIMGC&6R9{kQN>y(62G^Zx(YVaR+r5rB(RyjJlI4x
ziZ;=p`zE@~+C;COIMT9GN3!v8q%vVgn)k|qVk#YIp}zxFOFEF#2YV8zv!`#t_H<vt
zp6-0NqgTy#G;gmRX^|Zr{AWv#x@^fJ)|M_A*pmAkTbea$L!D_hlwxH=TbJ6<=JAc>
zdTb-@blylsf*a}H6Kj$zx28i|t!ajoHKl&CB9TTbx*2XoM_@(UrdW}6?*=kU*gy_u
z8)(;}4Rq>;CA~jtNe0fARJY!eq@G()d!+@r2U^ey1q*ukpE+G<GpEXEbE+~lr;hpN
z^!%zB2_7*ce<w2<S#L)4!j!tJP02CXlz3E3sq>Es9qKWm;6xMhwKSo?WhRs~VN6ZM
z#x&_`OeRvsbmprOiL@F~eUuSd85z-3UL)!qGo)krh7|2-ND*R&l>Etns+tYx{s9AG
z8ye8wg$DF|OrJap^y!P2K4nYjlgU>-;=7<nZ)5c6wy7T7TB1j<Cv<7yNnO(S*QGQC
zU3&dnhaCEJ=ys|O`P=CbpMVYxztE=aGujlqTbtZ<w8?XxHto8hMTG@gH14BCEEz3|
z{Gmx7yEQ2|MU!UPX;Q6#Ci%Y7Ao+R?S{$K4Qw=qUXR!vYoFHPhehLpH>QN<HKb`3C
zCD4*wP`M|_TnaSfhdN#EQK#xOb;@&8r+kh&o&KOkH_ofkym&RTu~MVcYt?A&OI6CN
zS0#x9s&v^zm138xlIdd=;?$}T?;aJJZ=gbJ_*4k@l_{`NnHqK~(_CF;3g%U&w-ZVf
zUZF(G!<48`TZ!TqDv{%aB5718l0ujwK}V77coix7t^#$OQlN#q6ev(nfgUYZAnynA
z^s8E)O7_UpW+QnLS}sphpUTnuIyriGK#u;H%aOoZIkJ8&OGlbz>0P`m+1kp|CAKU%
zewLwcoibFCE<^4vG9)W0LwvubX~u{&%{eAb{C?7;uOdwmv!tp2rW6U5Nl|i`6wTI`
zqMW5tr1(^lp4CfIS&SrwZ<Hh_wj^17ks$jX2@1%Rpd3#Lx-2h2tENj(=nZjtcv764
z!^G*0zBnZ<7bn#hV)Ua)jD{1$sM=ACj*E%WiC?1BJSs}}3Pfp1peSw95~Z_?MQQaD
z5z1^3p>^>h)MPJ09-<<||4W!&j|$U3p)fTD2~)j}Fm*2#rbo}Yw77*!R>@o{apn?_
z441;DacS~~5G9ohk>nmBdT1s@Ck2Ek{4<A~`#5BMltcF0IOMOvp^U{G8hpy8h0Sd8
zN@mlD3!8N0*fcbQO>VbYG^>V1?U5{sw_%Zs2#XAUuP2Qw>&f8cdU6S0Pw{5!sa<eA
z&HN@vE<=LUUm!>nEJ(cug0y*!AWi!yKrOuj6qzeP_5lJ!x&kD>Qh-$7@snjYKZPFQ
zr&Ip?^j@2vbXM?F+1qurx_ccJ99c&)+t<-GopltuavkZvUrWn-*V6agwe&o2Ej`m;
zOJCQlCBDyVNNaEnMHH@~q0luXWV(h9tzScP|65I2msXQx>1rC=yP8t0SJOt()g(G)
zH7y)pMbm0m(TuoNw9;u6smZURZF5&q)uWZn-nNn)4y~j<-<71TxspbguOy%MD~Pv$
z1q~FeptP_R<Ym5sjD=PZ{wybrvE^i0vz!9smQ$hga+*+FPQnY9Q}pv?^tOE&c^z3s
zZvvN5l+iL0TEC2L{a8xJt}UglRZGb@b}1=2FC{spr3BukWczXn?dw`XXOAtR?;%Ub
z*nA09a+lDmDNE?cZ9Zbx^HEz0ANlz3(K;<Ydc2B{&V5--M=vg>g!07{AGMe=HZP_c
z#l>`!cQGw^y@**$7g1^9BAU5-5ru7BM4u%WQN-*;wEPJ#wYBk5@KIh;4B@4j7QFOK
zgqN=I@Y2Qm3+ZOdLMHE7NQ;9OlCJ4Ois3G#t5X+}<h=!y)4YHdWG$eKzy-uHT|m9u
z1r$7O0ZHDUPv2YS(`fd5I<sRwm6*?`V$u0jJ7Yc#KAJ}#+vbtbv3caXa~?HW&!eT%
z^XS05c{KTAF74}`OT5K%>2$<ga@sVPRw&P<2TSHs!^b(4b8!yESI(iBgL5d=YYv^%
zo<oEDbLhvf*`$1XHpQHqO?NYAlg^IW)MzoA6eVU;_ng_}^kNqA^v$BCl3BDXau(^i
z%p!iwq8Y1a(T~ZQ^mA+`&2E@Utc;mt95j<6EM`)>#7vquZzg%ann9xjGf1;+26e>F
zAT!Sy^h|pOB@50VjepbW&%Nn1bYVIb=S`>hJ=1BI<8%sBnN9~*OsAahJk&DALoXY6
zh?B)b{vkZnWz9n@IUY)1%tLcNO{4TH(`fyfY1ENEjkX3dyyY}{Dm9Jj7fz$J_fskC
z(p2)RWst`30aGc}Vk*^1O{GT*r_#C)Q^@=B6lys=g;pJ!LUBP;=+A~J6eT-_7V}LZ
z$7lagQT7kKTmB(c^dH!7{^Dx&U*rV*MTpE__<sI_kcL0V+4%=oRsMke>o-!`eq%x8
zZ<Ol%hRuxMSUva)lS#ku*8CU#Tl5QSZv2Gpk)J5r^b-sDe<JnK53oyr;PRFq$dLE}
z|BwH{x#2%}hyRBd{D<Z#|6zLHBzzJl@xXi%0eq8KI{qD3^1kDQ+jpc0eMj=^Zzw+f
z4HrYdfmiJtw*32w@!qd+O8SaP%de<d_7#B>Utm`J1)9EJU?lkkzF$5gzvVMt9QX_)
zgU{%g{~4y&KjB^OCzQH<LWuAu*uDP<%f^pz-uDqvx*u_V?nlhI_5s^-Kj4Mi2kaF2
zfHfcAW31^tP9AuVM8o%p;eC&c@pm|P{2e~{z5~g;L(zY4v9jweN)zA0(E2U@u6~Q*
zCvQ+y{RYKhZ&0oA2BWjyV9M3kFh2Gg<({vxTJklDzrO-?zQVi2S2(-z6_VGz!tNI@
zvA6CeGWNbioBm7u;e83KJ1@|3@&yzFU!Y(01-4Cp0nX*;_>}t`*Swx%K>9hZ{CtLY
zeb2yu_!&H%p5cP<Gl+h9iput<&`f%Ym$pw)y8bD`-aUb1%M)0|J%N+e6YO301huao
z<7?w%SVTWYtHonr&0}17@d)7!k02lQ2vaQ{;mPVpxb@;89yUD0uc(I*vwR5uwGYwt
z>H$QX9^ho`1ISrFz;%HKIQZ^9EL!hFB=J6$*)tGg_%HWh(RB|8)9>M$^F7E&+(Yrt
zyAT?>i`FA|;pKA|0*ZI>j^{2eU7J8x@dO5fCh$OW0&{pLU~vBqvTN>Oa^D?nGrNON
zYwjTN&21>O-o~e-+vwbM8^vO`k@fQya))o>%&}Xzv-K91tKWjxyj$p*7>7djIGXm2
z!_0gfU)GJI`u$Dp>bQxGhi*dKoq-&~^W4PF8)K*{9mA)cV=y)v!`W41kbH9kEf;RU
zKJ5l(y4}El><#4d+(5+Gbp)4RNBHjRNH@KX=5^Qc`NK6(_ci2ZUBgV@Ylv07hNbhb
zq4EAz_|{#8SnO5&wY!QZqE~VI_Z2+2d<EZ2u7H2%71$eJLGjuv`2FEBe0whANzP>i
zZM}>I8kf<!_%il9y9DEwOAt-HgjMdBuv+mF#OGXs`MrxcP<IjCaTl>{(?x_!UBugI
z7ZEf*is{v(sE8bev+XEYVxyS+JA%8{M{u=b1UDl_@Wy%si$z9Y_-7cY*M{+=d>BR%
z!)UV}hK|TE#{Udq-}NELo*KgU{X-bG8A7et5K5*Dq3q@$TB-+eH+m4fj)Sn09>j?m
zgP4AI0AXhb@GW5gajpa4C=KBH`~e(((hryO{ZK#L58*BSU}^S4a(O=t-}ND=w+|J0
zefSvM2SbxS)U59V>qjrjuJl5+q8AefdXZw^3p43nteMq|ANPCk{9F$nr}f~SPY-5k
z_CRJu4}3p#qh_ER(~7#`6W)#68@jPcv>UIdb|djl7nJI|@Hx2)7reTVO<mZxybHk}
zI<a%G6N$y0sNB<uI~zN(QnC}?Gdt1wpaY^U9VpJ|fUtiDTJ<~NEYN|4KiYBeT04$a
zw<9dR9WHL|uvKfvrlsxJ{=N-qgKcOlX~WNbZP2%GL!oRNX3THHp63_vr}F~R@-9Gf
z=LOu^Z~<B37vMDW0^}aGV)=zu%sSGFnZd1CV%`c#kyhC9v?BTbd0c8a4}t9ShzL55
zSElFTA<WQejC{WZ0_R(BDZ2$pJ6d34-U4ya7A%_4f@zPMF}1B33v!zw9M%jAt7b$?
zHlt@wGZsH@f`4}t#tNHYy0;0J?3>`C(1c%$no#=g9Gr&FL9qNBKE<5FWw&!UPv>xU
z^*NlIY{bBgMm(!)#G>>@82L9M#kdjoxQ$Ss-iWeC4OrLFfa3fH$n9ysW%~x~R&0Ru
zk_LSKSdZ>Y^(d^a$HAm}?Aub0{RZ_&;nbsST0Jg4Jc}tEXQ5Sa7Abqr;;G|V7^|Gc
z`Q>M!{H+e1*Xv++whsRtszX^|9o#JHz?H1Sk9l>t_4*8YhR)!8#Tm36JcCi6GkBqY
z1`CDGKzsTbL_Rr<k?zxAm7GRg)M<QmJB<J>h6<cU{J&ao9@OGedo5xMYoWit7JM$X
zctf?gysj1<e`?TruLj+1H5e<X!Pkfy@VnH&MxzGV{55#|w;E~>s!`ZcjRi&3NQkV)
zLicJEX;*_-)p$Ow8pobg!LhdroYE@%jH|+gPZb6YtI#P@#e5!Bxca&hZ$>JysHPHH
zX_eR;Sc$F;mEe=BMBtK2jDI}^lbfe7*mMe3xu@`K&nd(@or09cDLfH4g%eXxA>c^`
z^!h5mDX#!;Vg+VwtH4b23h+r+Ky+~hOuv+4*H}4fo67Mqw;Z&u99b^q_^wqBPj)%(
z%qWM`%QCzgE<<EZ8CZwPa4EP9akgbJP$>i78pigg6vGco(b!Xpsxk(Nr8wtbiV@3F
zypb!#vgM^P{&5lscTeJK$4PKboJ4f|Nxb$u2`BTDxFvHEu1ini<Kzh>Pn>{E#|b<r
zIf2~x6L8*o0^$}Yz$148&z7CQ)gL7oxW}NY1XoK-@GP+eJOL#Tw=RLRQVDWbm*BzQ
zVn{zJM&dv*-c=Q2^Pyr~4=sj`V=*33F+y3zSTd^^7v2;h;7Sq18jF~@7ol^15pq3?
zu+OLnev(CS<zp~;9Da9?V_(;C<dz*rNAhue2s#cCyW`lVejLq$$FXqcaRj_6#Q2p$
z7@sRdUtS?hq6%@_rw}{L3b9145bY}p5&WkBGEWLHIaq*!+5!}36(Dv`0fO8L;B8O<
zFNp&9^A#ZCzkD3IpO5ps`FK&8k9CLh;j}9sC!O>0O*bEwV);0`C?EWjdC0t%2fp4s
z9IMQO_~AVC?aIRzmpm-h&%>a29^&}&VEW@2RzEz3&;7@6z2+F&vX0@*-eaitV5l)8
z%P{&CjQwveRzJ^$$;Dj6G~_b#$i<?VTzGEHMTb=`II6igESQT~vvU#u;V2f2A4Ng?
zQ7Dxi#dzvbM1>uNyz^1K*E@<jiKB>EdK6Z_k3j0_5iA)!f~gHhFqwA*-(!y8&$c62
zU~>dQI0Ajn5d_RXg5zIvaO-XkR`=z=t0o8MvU9L_e-1)@a`3<+2OE`ha9Mz%vl;ng
zHbQP^V^McD8Y{Emk(rGZ`?7JvD;v4y+3;1$1_@+i&FpMU{gj0dx3lo9I}1;$vhXS^
z3zHF9Sm2ul@eNt9Qq95vRu&rPW#P-$OsL+^#KD0~+&hyA^<$YRj>*Kr?U{(N%fu9|
zOvH(1f^SJC%714-_jv|hT+TpdO9l*2WMEoq2Kshp;E-DeJWVn{3K<aK&%m778Tk3>
zFuqJ2#@D{X_<i~?<{vu@PV8am1{}s#hr>9ka~PK-4rAVm!`LwOF!J9V!pE^gFzY;o
z)0Ky?D*F(U4;;eut%ne2a|jDG51~Nx5EPak!u7xD*!?OU+#BhbXivwHQ|Z{0l@6f;
z>6r9O#}%7&)M=(8S1cU~%hIubN;>wvNki1lG^BQ=p{P2I$-UBWFFFk~1Ja=6n1=0o
zX{eS?!{^m$(43iu%ulI!e>W8y22;^ep9<0AsVGWHWpb5NoN!NtjCm@0RZ`)~NyXGf
zsi^#wf=w?{u=sikvyP@9qcR1~IVq5iPQmPe6ufjy!Damvw8^I6?79@x&PhStw`81u
zl#Jnv$#~R~jDMxc;AAAja(^<SwlX%mWc<`ghL&_PQr9p(vyy?YNho-jgc%o;5ZaQ2
zSEWht&Pc+`{YludEeTT{l5kWn35v2wxV<h3v2z)IG7;~dB%<m{B7)iyp<bDY1xFI`
zEG7}XL5ZkzPDGALA`+An5yeSF<l;oc|4l%~n*@~JN<e#G0`8wp!1SU7$fPE~b58>D
zeG_okCIKv+1O!MYplfXcR?khq?#Y9A@bn-|uN_2N$3ZC797N->gHTI2h`z9cu=hNO
z4;v05RpTIJB@SX@)j_1pItblw@tE=?9z9p$k<uOyr|Njf9gD}pgm`=mi^na`c=TJv
z<Gf}(8YCI4iAU?4cnnU)Vd7aFzFv>RlI}RDoQZ>HVH~nj;xMu&4zvB@U~13E`f+$7
z&)8XU$Xvwu|Bc0_cd_W7h=s~<EY38?LaIC#XR~90*jS7P$HK!s7Jn>bQK%6MeaTpS
zUK5Mbxv_Bm5rZ`^WANZ+3{LgMV0S|dEKbBgG$RIcqhjzWFb4NrVsP0!1_R7#uUDL*
zt7C9w4%6npXnc7Q&8#QUkm!$wRbw>vos33xW;7m0M}t2&8m{iqDBBQ?&zjNDla59{
ze>8q9h=$XjDD=LKg52FGl#WD!zcmW^l~E8p7KKxZQBc_(h0!fh@NtO345KJiDo4Ra
zI0`%~qR>1u3c=qaA@@8IlVg$S?u$f5V<db_BcYQW307PrW`#xKvsWY@+eBhqFA~=j
z7;qSVDWjVniKnj)VBzoq=vE#;bkYHgZaskYrUwuyegLoL9f0%O{g@ct&#Y(rF`2p_
z*#Y}OmizHRdOxZc?MKL`2<TmlfM9(DW@bg;duRkc+D71;QUs>2jKI1d`=E7a9|BtU
zp)7wNUPkPLg6lpcY3;-7_4{DMvk!w$_rjomFD{qwg-7CE{M))0WoCO}FSQqZi}qst
z(;k#w--C$8J#am;2d2CCKzlO-Vt4^YH+2v8J=u*DeY<g^d^dQLcEiShH%csa<EPAS
zI4#+Y!EfQ9Tj98HJ{<Z5;TS&<ju4M<tkMt1pl~>%=7vM}-7fH6*@b6kccC|X7iz+H
z;rQlV$kW(`qV>CQdipL5yx57C!#lC0b|(xE??hbaPK?^`#5(nz*u}pSccwD>XJKd?
z3<Ije(3c(t`;ahvwhKd!S{U^B!|-cr7+Rl&B6cVgb~T}pI~<A?VWF7e7>eIuAjt4D
z7~QK7$XyJ9U0n!bvqR9jI|RR+L!hS<f*fuLKFtk*?T27=Uk`>#b1=^32ZN%5anU;%
zJ|@AKEgg*dCBg9hZwEN{cHmXl4m6eRKw9z+1O)AXz3mPdsqKJ{zz*n7-vO&vLGZp5
zgy{MpR2&V$ctj8udIrJ5C<r-{L3qIz1nvI<apGPe7WM=px*`yNQv(qb5{N~Pfhf}m
zgdQglZ{`Hz*oOdEj|G6QH2@Pu0jQ1-K)indwpcTIl>q4T2S96j0Q6pO$A&B0;dO31
zqVl(+EP6YxZ`qDHmfK;dxSd%ew_{@JcF4W-$Kgx<_^-hqzIpz55akcoE&h06;g4O4
z{@`8fkJHoq;qYo3=3Lo^?sMA^Q?LzYvD>h2+ctc++J<qJZRix(hPs*CQ2A~vs%~sW
zL+e)bm2AcR#I5)jv=t%_Tj8j=6&c*ExV~U3)_(KD_Pc)Q@9~3hl^@bG{P1tLA9lI>
zVbaJC2W0%fyV4J3|F%H?#TLB1v;}$Rw!o@z3wYzVU~KyqoUq-3aM}V}p)F8bum#+2
zzF2+F7t8y6v8u)woNQkxNBF|Z+ZQ3`zQ|Yf#l>~Lm^srI2Jd~4cGCy<+I^r<?t_eU
zAN;q=2i|TzxMSo4J6VRVV&rK)n0)Px!`HnbcflJIC%uuJ>J8nU-k9d<&E)0Y$dU2J
zwpHFRoaPPjH(pqN!wa+9yfCfI3q0vwm>2Ga)$U%9HSvO_yca^(dZB2B7p}ke#KK#i
z*wE#P+)7Wp%JhU*geQ*scw)u|PXw!a;yKF`?(;qI<eLZlA9&#Rpa(L~dO$Yc12^M5
z5EJMDWk(Nu*6~1tga;y)d%%2(2RN_YG3|ysUbMO6TDd!V54)pnF9UCew`6pxjE(IM
zo`vq<{^y1bkKGVC>V~FsZunN@2DM~2#D}@zwyPWDOx%#6;D#UkZt$JshKVn(u)FVy
zTZ67}uXn}A0$0Q*xPl$xiUDU=>@ac#OWqZC*16*7Y*#pcae>Hv7yKM_!S#9<oGo<0
z(L@*KH|~OPR~H1EFi>>CZb28s&vU`C@6Kp=<czUVXZ&t*hS&*bxTHBFcegX{csYZ$
z!5Km7&gkPhLy*rI(SMxq`lS;bZaCp$hZBsdoG_f@1nX!gJlyVtFh?gW(sx3gj1wH!
zIx%^w6I#D)#?A+up**q~f6r~kXvt<2rESKZJ)5z~XEU^|H#6s@%~&tC8LO9X#;R$X
zA@F_^#P4hZ^>2dh*-Z#3+=Qb^o6xg!6TW&dHp@-eqP_`L!i>CR6LhC+Lhf5fe7ofc
z`#wi>)Hy=3&=JK+j##tH5qX}DSiiv$HE@Kcs3XRgIU;PDBUXKIU}{kg2pM#MXrlw3
z6+56j%>jXX9Y9+gu-MiCueBX8B;|nGH4ey~?SQ0j_K13HkNuY!dchuvr|fYg#~xKN
z_UH?;$1`Vp%rmuzl8QZih3rwtXOD@0c3Ah$4&Ha{P(NUYS&epZE3rdIx*a$Xc1Yi9
zhky2V2-CO2CpkL=3)(Szs~zHh*<$4@Tb#LR3yWS`e5$j>vE#NdPPN6KJ+^4tVvC)2
zwouoz#Y{O{+!U}y^#WTQ{AGhJuWVp3ZUePG8;IB2fK_Y*{&X7%M%X}jn++5kZD3$%
z0~bXb>}A`aaIp>g|82zAcN-ymcO%?}H=?k4BOaA)gjn`QgvV^e=#GsLa@&X)i;Z}J
zjo2W*5$&rsLT>g(RDHLG=re27T(^c&w>5gtSi|ACH9n<UBYmGW<hNPluA?=QjI2S*
z*7z=DjfSPx*u`TF&Cga?@W=`eFI%Cx-HNF#S|L2&3U0|(FyCVZO+PCrIaoo?&<YAl
zR!|qRg5gptIPh2@;PVC~KH7j&S2o~s#|HeY-2kz|4RB4}fZTl>aBJHJtlhi;-X<GR
zuet#<MK{1@<p#9Q+JJSFmWX|B$>jK!aPPCkc!MRZPg>$yrX}oSEb%DV5<wo8m~L%}
z0&PpE%Ua^Tpe5oLSwen_C7yk-K>h;@I9#^CstyZ0sI|bULJNeaS-@<+1%v`Dz~f?p
z=jIl;L>4$NX@RPB7ARi8wEJU@{CDOkzGsfgi{@x<Gsj4cIi3`lV@jGi*6%lmVSqV;
zUCfz0z#KO<%)u*d4s!u>9O5;{_&+nSKbj%*p&5p*FnpI8qU+4?yx0sD8D?mWHiKk{
z8BTbbf#1dqg?eUSDVm{5$P6mW%`iOE4DOSr`2E5Z`L|4=HDrocEv7h9X$s>!Q%p%Q
zMe9CO?A^}TTuhn$%oO9ArZ^>Iipce**vw}Nbskd)d^N%BXD0YIW`Y;}Cb-vRf?E|P
z7|%7qM3M=f>@~qhe-lh~F~JH;6Ub_rz*5!(!7LNxE-^vhbf)b$V~D*lhUYC~6b%{U
z@p)s2R2w6tz!=?W##k0<jO{y&G2~$kQ5$2V=^JBG$rxTD#<;o47-sW~(f`{B`tOY}
z_`nF3SB)^yZG>$NM$Gxe2uF?>K_SryV|$FS$KMDX7b9G=G(xPl5!B?3@RehP`sGI0
zIok;I(-5=Y8sgSHLsVZjL~NHK-0BUXRcZ*KBZgR*Xoz2X4Dr_A5RY68nR=li#&ryF
zTfq<yxQ2MO(h!q#4Ke4B0R%o6K=qLU?5`VOPoDvbn+z~|$^gIe3?P+e0Pjcx6a^dL
zftLYT_6G1XHb8^A0eGYgU?*sR8a@Neo?!srNqr2z(ueF_edJ%#$Gk3m?623yw^Drs
z9o5H&Bz*)&=;KGAK4LxevBXv%Wrq47HGSNY(8n$TeXQowN7r<H_)qF#&1*eex~qq{
z%X-l2*2CWhJ#?1qA^w;iHl*r-KT?mW`|6?JTMtDJdWbO9gNue9bY=A*!O_F26?&LE
zmudG~7vDeV;`3t$V+=p2i@&Y9m~&beD@$}Co~;X=1YJ1o)y19wUF5s#qT5CnZw+;^
zN?jKwQo1;>UKh<vb@6qUE);(0ApE@!Iv(j@?wAf72X#>0s)K2#b>LK@gY(%sSd*xO
z$bC9^6{rJSPaX8x=|I&)2WLnJ;<7rZ<mf<Rr4G){(*gczW9YLsHa*wI``g-xzo-pX
zmo~Z@wBc2ujd}UnXiV3JXN)$M?qYnmY9q=;8)U7GKl<9}RMo~oNo`oI*M`6{ZG4=q
zjlSPnDEO#_-A}dPcuNZy)dIUy3kw>w@T*)4Z}YV9C|wJ;W3(`~OA9x)X<^(|3->l^
z;kls}zNl+~M@9=PI9iZesRiTtTJW8sg~YF#sC}u4@w=MfxvB}dK23PHXd<sh6Jy1i
z;LFj3b&@7>_G{u^uqH%&HL-KECI&1uu~ttLp(>iVBB2TC^_n=mOcRrHG~xDF1EZfc
zfEOA#J)r@iD;hZ7tAVvG8pyBFfMAIR%5yXzo2-G30~**6s)46lG_cQE11qdG&}g6m
zJ9Q2GlGeZpjs`4NY2fz)4b)E4fafG(&0E6FhlK1gg8eXIZ3p3LJ>g6R;XnbwDucj1
zNcgvxFcCyJ?@h?xM2NB^Y}F&!sS=o{8c=2v^O+Gi3kZVK2m+J9`nLf05g>IFP#pn`
zI)P1%08@g+!Q((l7SNdpJlYR1M-52&0S+!e{6?V32uz(AOl|}?i2%9lfZKe)+S!1|
zA9YlJR>zMQ>M*{ij{Ixt_&lHv(>8UKpH;`q3UzELP{+j#btopNqbNch3q#a#V2e7w
zIICmpMs++jQir>SIv&ZZ!%I{huldyxvQ!=a=BOj>pBe<esiE<;8q6Q6;pLbb;z!gV
z+@*$*b7}~#R>Rs7H4Gh5!|qfyNW`e&akv`t0@PsVrG}-O)G%hLhFpC$xT&i_OjZq(
zTr~`=Rl_kpH3ZF8gYjQgaK5Ty+G|xjd7z4cF;&!#sN!gsD&m?{5muuL-xI2E%2kC;
zx+*N=RAIhX6&5>GVeP952WM5dZ&by0V^!?aR7IMiDo%*2;{1A5+*qNCPYYDBc)BVS
zeyYInqY9#)tDyR>3hrD}!Mq_AXmqF`v{3~$RVsK@tODVqD%g_7_{6H<%N`YAhYAvW
zRWR<X!mQUSh%iyX4J{Q&DXSn^QU$NsDll8Eg1SX2ST#!pF@Kct@ryFtUMu6;LuD9_
zE2HD0GE{q&aqhe_l<JhxQmzb*LS^)4DZ?sR8TX@<5fHA7se#JK@m7YElQM>^mEmKo
zjG0=>IHjZv3rS^sXDg#<wKB{XE91{BWt{%21g~#OSo>B9Hy<k@^R^PKuP9;ZfD&%E
zDWRxA30td_pj4uS8M#UrPgg=!yb_`#l(0Ee3Ci1)u*^dV-yM{2$5IKM21+<ZO2|@R
ze8iQQeN748tCX;55fgWo63qW9!sHu+w~8=(qR8AIE5hNbB0L5a5zwKCh;xcat5HPB
zNkug0DdK8|BHkt{GBq1Th=nV{JWvtAK8iTztcYG4MSL<<grKe>tko0|FRO?)5k-6#
zP=wqHMFcHW#F-h2`0`r;Dqj^4`9=Z5j}@@ujskqHDxi5#0rNW*;L)Uj)>;KDFH=Bh
zfdX!1DL^Sj0eLYBn6_5|{=o{k<);7xcLg*#C_rq30*VY3uu@Y28A=M^l~O>OkOCI1
zQ$W^I1+1R0fD=3lkoqN$*3a@VeJziBkL0oAwmfEEl}GWQJae}$kBKIE>^&_H{&IQr
z6v|_3jy#s8$)ht)9sv=IK1?20{pAtw#rQkPV{)TB>P?wAy7G`ym&Z3bd7KxMM>O-p
zHd`%^m3;DeK1Uu+Q{|ELLk_N=<e>CQ4vQYi;q5Is3}2B$)u0^GI^_`3EQd{J<e*m}
z2bm%{@E?`K!b5VHnjnYo2juW>mmHo4%Hff(93HqbuxEHnIXp9DVrk0Zo3b3H$jD)V
zh#b}m$}wxV9CQ}R!C|%>f~LqJ=|5SNf0RZ4OIf^lD2utbWg&f47WPB3i0YC>O^Ylh
z>SQsmQWjJqi{N9jIF%ub$4RnS7bA;Jdu5RuB8xlQWWnzx3oj>GRNKhnyO}I>^ks2~
zWbsf@7V=WENZ`ui0lzF%R>&fgR~8><$-;7qEYAEVgC(D2m^!o!9zBwQ=^Ys~U6X;(
zhzzoOWH9T34E8q2;8V2>{7Pk*TvG;aIWl;V#?XU|d_V?U!eyBI6&Zy4$$-a028TAu
zKwzT`&X~$TS5F4FAcH_f8O)ZF!3nMmv;>&;D`XJ4NCuoaG8mpJgW#XiSo=j9gKwm<
z^Qknr_oQ)aOd2Vdq@gn)jh`LTXlRy3P@OcSDy8whL>g!Eq!F4W4YgEhOpBMs=zeJ&
z-6aj5AZaN1Nn^H$H12MaX5MB<BhgG69{SQC4QZ@amc|chY1|Q!M%#L6l&og#OQaDz
zUmDIcq+#+`3aXP*5c?>Fb+4qr_gD&ZCZw1%yA=M6O5sPJ6eimlG%@@cMt4dIJSU`>
z+&~J;vZb&-O$yQnrJxxp1*_ds@Cuf~?rl;y<Ryhu&Qj>LlVZLnQkY`Q`07YOPhARI
z6r_+QDTQ-fDLfRA!u(ZIP~(%r)_GFMn=XY*e<Z;(DG9ZYk_dSviQ31Kcrzgh(J@K*
zU6MrAfFwS2N<#6xBqHi1F;FcDzA{O;9%p=yO5)#PNmwUKqC8d-e<CDdyGs(MgCsF;
zE7RUn5`#`mEIUc0SW4oPkt7^+B+;oZ2{A=U<VZ<kx`-q~*GuBrYR0xy5*HUpLT{EN
z+NMZC`KJWxzeqs#odoKhOF-_S1R8HkK<&B&x<(~n+%JLa9TISDk-)pN5{Rglz``;K
z6d#v>QmzEEZ%V*BMFRigB#?JNf~o&XU_4j?;r<d><0F9%SH|urfdv~S&}1e74+9DC
zYDu77RRRI>5)hP>zzwbhk_087y;=f4moWV=kid>v5|ExMfe$~$QTJ6Gq3^|^`cfQI
z9*bjeLL3=m;&8bv4)Gyz{OlIT$OUl}oD;{6GvY9;6bJuFaZDD7<Ju8%)E*W`O0qco
z<HTWpKpZl=#jz|z9KZa<@x(_Q7v03syh$9THsZ*#5J#+$ICkoYV=Khrsw56O8F5&M
ziNlB^&eTK2p}kTZT6_$hFAm+AOn+0vVfIrD8^4Od>Ae_yUWy_3u^1xniXr``7>cfl
z;q0&&`g_H2w_OZhn#C}`UJTqCG3b<w!L3*f2l5!dY%z4Fi{W{q80N)_L2kboHiwHL
zE?5k8{$jZABZdX;V$j$uh9FxpoU|0fZDTPk(i4M`h8Ut%#Ly-uhMy8*P!$%#?)745
zT_c9S%fz6&NDPT{#c*}H7*_uih4&9p)O``fzjvard?|{e$D;UhSCrX{MNx276kkU~
zVcsu_@=j6kw2H#5Q4}4gMIlfril~#Kcv>h5<6Kdk&J@LpG*Lt*h~iDODC{FdnLANY
zC<Ke5)St2WiXz!v6jPi;vCB@BxpxtTpDEK`Uli_IqIjSt3Rgu@Jd_rNr<f>Sa73|P
zfa!mgD081Fidnp($ebez!Rex?{VM{EA0oK?MFbx2MezNl2vVMifPG&C7jB8b?z#v*
zUlc+5pa>*;L~yZ91Od$=SX?iH#u^c9t`Nbr6C$W85P|Jc5lqPxK}{;7PY}Vp7$!!9
z2m-^Icp)OVwVjExMFfVPBFtHqu{nq!e4_}IEJX0lNCf9}8CgRF>Z(i}1rhX1i6Bi>
z1oj*etQQc$yHz4Mzf=T?ydrR%D*~|@BKY%97*~G^qx_pN_J0(H-5X)ZJQv2iN5Xh9
zA&kD8!Z>+V7;&S*@Es6_Nw+Yh+k~;KSs1_13gcOgFfLaJ<NOIGMxijWa~a<(VeCv7
z#+D>uIK>IWDpDARdxfF7Qy3~cgdyiI3@Kk>h<gY_)R}>UFvK<rL&AdT+gKQidcsiG
z6o#&vFw7L0G06zSLtGevTwz447e?w@VHB<q#u+|g^ezy_?b*Wkz$1*A|F{tN$%X1S
zE^Iz>vEvOF>Cd^SeZ<A(yIg!4=VIw~#(s$l*C8(Adl_2?7q`xH!E=ra={hc)tGP%i
z=i)*M7w-zV5X@y_WpR<1&P7KO7n5;Z$V73mbsraHySR7~%*FZuF5LXMDE4AxS1!1l
z8M_@9XRH{1GcGiZxJc0D;<^SiJ~b}<6}dPs!^K<)E;b8uQN!Y53O^UNtGK9I%Eh!r
zTx^=hMZ-)kc&Bl(?T-)!{}Y1nS0NnyAcU8%g<$er2sMv{z;{mw;kShF;JOeDFAJe=
zSO{zTg^<uCgl`vw;Mpw1)M167cUlPNDup0gCWL}wAuK5nLefzoOv@6&-gL${NeDaQ
zh44N~2>ua5coQy!ZJ|PV7bt|FZ9@3!BZS=^Lip#*jKNU|i)@8(Y=aPl%$Pn6g`lA;
zgo_$Na8_etC<-A`mgz%M2o)lXjU$9H0U>N(BZQeNgiypM1m*z_ZqE_It{FmDK9w2U
zZw~DL<KV{^4hlYSp!0@<m(Mv!f6RgMeGVSp<{){D;jeP=bd-aPK@PNgIr!AUK}jnI
zwoM$&spp`*mV?kr4#dkicv8$kegOw|xg79ib8z_(2dOC>m?dy9KbC`w2blPKIk4Wv
z!HN(L?gemgaw`Y^J{%}|aG1GrFzm=djx7hCRvgHgb1==AgX?-6lxlGh4knfg2kR9$
zn3U$=k~jxt!W=}hIoK?~jCBnMOIL94nU9033puEp%Zz&_GrnoeT>rA6{*#UM-`SY`
znT?O{*tq?Qjh<(0=KIRVv3qPByv;_~7#m(!*|53DhW-#6%6)8zb+IAP#>TQ1Hs&|7
zF};qBKh<nZR<QB;BpdIG*m#rA#;c=jyv$;7h~ZNhT>@i^WqcwT-+fG*a5iRyv9WLm
z8!NZ7!S-WA+M5lyvti=QhNB}Jezt7vv0@{|oQ>ngY}D(sF{sVPePZLADjN%w*x<^s
zp(Vw}W-&H)aoNaXv2m84jjOBK__UnOypv!<ftL;Yd2H;R#YPbio2m1%@a`82%l>0Q
z<0}hWKC+PcmW7U&EWCZn!s<sX=4{Nu?%OO>j<Im}Dhs@qSkN72A-tc3+HMw}wX?9U
zl?A&d77o?3FmjrOS=B5izh)u&Bnw?dEKDt6K_{2R-2JgIaF~U8X)J6=Vj(A<#k_N1
zF>fPS2-wR)^DY*6LRqj3Vj<t3h1XkHQ1xaZ(Vc}m&MZi5V&Q-t3)ih#5V2%ozbOl2
zhAc?xu@I-l!hNuyqRPxck%bSkESO0#;}&CKjxY;;Y!-$Em>6qWNMFgqm!&K?EM}p7
z0n`6n7E))j@O>H!ZvWO}_}6+U{<r@BF>sf0QFKuNhY?#*QFdo$dsi{R#O65HZtMoT
zy9=?q`xO<tyBoW^usgB4G2Z`&=O?f;_nvd^nL8`Hi!Ax#lZ+pI67$w4uV4Bk^0`mW
zJ@$$Dz$aVo_$2#HpUg|}N#JFlj6Ls@zo&iD?}Sg@AMr`YgFbn>&nGQ*`{dqs&fVgZ
z+Z%k+WUWu`tn^9KWj=YZ$S1AheDXZjC!J^e<l}T7zccoU-$b8`AM2B#Q9fBX%qMvU
z`()=pAFqM=<Z>^@?Cz5foqaOA1IM)W$;y^KDcQ^?7n}H`O+%mjs_T>KwS1C0!Y4<n
z_#~>LPrjG+$xP*w{6Y@JebT9jPtq3h$(npVsT$&wH#vPWHP|O%KA+rhk+a<=S#_VB
z4)RIQK%dw%_~ckxpL9#*6I*hh9RKH)UcbHK{ppp9U%fK)lUEA7_sXN!UYYsAD;1x4
z<<}#xY`X82ws*YZyy=yz30|3a*(>EQc;)XIuk1PLmA=QkQs}T(-tYIyhP__tvdb%>
z+r9F3Gv{vbO3$@kUN7{@k7Zujzu3!bp<byv&nubdc;(hiuPmL$Ig`CoY=T#kk0q9o
zUWps#l}>}bQX<+bY5RNSc5kn&>*1BbUA<DPlUIV<d*x?qj&0$U6-~Vo)5I(F8hRyf
zJ+Gv$O%4%WiLdIF*h<7#-Ya#>5TnVQ;a>Sz%*%TZyt2KZSLWpNN_2=<n&t9Jx$Iua
zoz*LW9<O|Nc;$iNl~Y!)Y|Y}81)01uF2E~&(t4$3DzDT`?iJII`Tlss^~)m}zk9^*
zi$^|x@W}JG9=ZL>BNr1ra{Q@B;vacr+kKC$yW^4NH$AfOnnz-<cx2{9k4!!1kx8dL
zGU0?r#vS#@*hARQ*LyuOewRlkZuiKPEgqS%(Ia!#c_ePNN0zSe$eN`d*|NwZd*VED
zWUfcf{pXPzGd=Qnnn&JE_DIqMkE9*v5o5GRa*pswv7sKR9OIED13l8EpGSuFX8s-?
zS>4qm`#X8$YI~2oYU2_ARvxi8_efZjM<N<~q(cLbjI8UCMYYHyg1oAF<VPis=oJ{V
ztVbFtj|>!#%rD`Q14WrX%p<7^dL$&DM{0+7q<=2*&F+yCSv~UJLp&~zl(l=LtL~Ax
z7V4APBcC#Q#2es|nrS^UB$Y=tCiln#KaT|dbxYYKxAgttmNj49a_^H{vV3q$<+pAb
z^2#kc65aClsatY9c1!aIZkc=6EeW^W5_rQc)f3z@{<2$6UT{mwb8abr+AX6_xaHVU
zzCY}iN(bCBVV_&h?{-V(oo;Ec%`NjcyXDaax8z#qmL99!vU`PFk}Y#fwZ(3ky}&IG
z=eZ>`)-3~OyXE){w**adORLFl*)oCS#<``=XtyjI;g+vMiE%LFMZ4vFf9CE>Y`yrp
zyIU%Db<2WI9Mj${HQKsmbt|{{w{T0-rf%8O#4XlFZs}FuEtl%JC0{MKOpYMOs&0v>
z?3Rrc$gLcYmv+mwQf?^`&RE4czo=U}gt_HH0k;&%$In8@F}GW~<#5Z*Y}C-_mJM#V
z*qm+|ZF9>f%`Gh~9G}@Or84nYfLmPY+%hG#Tl`WozQ0?Z{c}m<KQ1}{%Oz!hxMcTN
zm*o5Gk`*6Z;(F(j*{@xa@uf?~K6gp7r!I+k<dX0AUDErmOFrCkN!J@Ld7a>rPFGy=
z@}f&Ro_EQsGcM_T%Ejj?T+;ohOFkWPNxuUw`L)j_L-)8O<t`Wf?vgB9T{3TzOR{co
z$-1>JDZJVx2UfVG$}*QEEOtqYg^V%ZCDHscIL#cF{5Q)b*=M-;{l7~pOm@lj2`=d{
zj&Vo3Wb#Otc!#@W`w-5LamoFGF6q<XCF%RRWN9y#l<eV>D_x1JGxK+J@je26)`l@!
zx};Zgmt<<{lJ!koQne9z)OX3ax-Q98+a;%JkW+QWsp^sqm0VJ*f=fP^b;+F4{DRta
z$)j*;Q^F;AixG2S>Ql%i!3C&iUUCj0rra($n}e@|$up}<E_hsgX2d1A9WJ?HxMYmx
zk|GwDJj+aenOssSgG+v<qaJBo(kvA<O5u_d$vEeqQwscX%JW}NiTmM{y5F3V{)<zN
zesoIAd#4n6>y-DeoU-<XQ`$avitnkD-{(1H-UFvJyyq0_9j7GRbjr-@oSWd3peuZT
z(J8af^Y~e(*iUo(38ySM#`#B_lIIZP?RUzKeT=`yDdl!C-wvl--OBu%IcB3%@~?Nw
zuQg6NzRD@nS2(#(a^4cBd|$}V;+!&To>N-KIwkBsrzD@neAAt>VyaX6Pj*U`iB55j
zcglw`PB}KpDRW0SrQ0y4lpjJYF;4k7&?%?-J7sZSrwr`vlsY|~658D<sk%DlQ75Ow
zcW_E<JE!z%<CNO1oRY7FQv#Yf<#nW!=b+S~p;IQ*cS`5FPN`m-$7?zzFv2OHt2*U+
zWvA?|=;ZZPr;IG?l#ZpHQqy!wQE`f^q*GEBcgou$92e%4g9V+kCO>t{>y#lO9GlxI
z^>aF<Om@c1Mh-rwr1LoCr_(7f>`u995Vz)(Jr-ifLahRwG9{x^h6fO9I;V6<<K%M+
z#GJw@75$weeoiU$*CDxoJH-3TA;u4f1b%Z!+Aj`C{>dSK-aF*STZepp?U45`9r8NS
zAupae<k=I4JbC1hM-LqG@SZ~++`%o};QMR*{3?%M=D3R-f1dNsa{g(?Imvj(8TTmT
zA7P$D%y+;cdc1?rKR6`kZif`u>5vlJ9a3(qLn1aiq|ru)v|jJvbsUEbTJ4Z=D;+X>
zxkHvMb;y>*4mq^YAs6GAdmeMdI>c{|Lo&~HNVb^{DKgz5m8Uu+ax&*nbjZl@4v8J>
zkPV|9a&)9aZVh+HhoKHhJ%ssV98xUWA+-iLq+>sajOgQ#xLyv~*~1~1yE%CM)*)#+
zJ0!THL&~&wNVB#MiD~VSc`Y5Xr@2FJHYK-6YS@JM8#$y&10JvEkcD*|d<MWFPit^~
zghN8BF-H}L^sU6X6^Or_L!Os$NQTl5DQr3<N*pq(Brz6u$n~P+Q^X;8!W>e+phJe`
zcgVWD4!IFR{qj(&Tn=fP!yyxci6JYs_EJlaLn^r((%<2b)i!d}9g<FSh*%taKF=Xb
z0v(c&kytYDv-A$>nbsjIQ#<5tN(a|F_40SfP(SkiYnOMw?UEzOF3o@1CHA{ru6(si
zz!$qz`ec_8AMCRKon3yuu}hKHcIoxfE}IhV^7ffsLY~^C(__1=d1#jx_wADFo?SZJ
z;rm;5d3D1sq1WxwEx|5ZuGr<vCA$>6XqQ3f?Q-y}T~eH}OO;c0nR>!5*N)l6dDJeg
z58Gw!LA!j~Z<mtsb{V<XF6VaJMcZZP_ewmr%`RWJ*roJlyG+_>mz(SDl6@U9tzpbn
zcFC~PE|JSQZYl9DX8c8VnY+L)FXuDfJiAPcwadN#?2>;rdCg?r>BKzEE-_Q=a%mD{
zO|(n&c)lJ>J;w0!QFggH!Y+A+bNo=d+#YO~LNSaJZI`D5>|*w(UVZKIxwl<v^dj#b
zc1hXYE-ky-<v?e<I6B#7KnJ^AZ)canZS69%HMzC4OPv;W+1ku5S(@6Vccfhs8ryjv
z3u85~%ddKNX<FAVhicm;xRzbU)v(K(>UODJ%`Q8uP^ZeoQjvO>w@b}({H%;!+@<X@
z#$+AEE)Byuw*)a4x67=ecKKV_E*-;|qabxFV3+mz?0ja*E~7(;B{y}=WtR&%>>}Ci
zvM!rl>{;#nj+HpvtgXu~cN}(JQz0M2&gZu5vear9tA)6-*yVSiU3z4q78&f)IDm1|
z*`<71yX;NPv8n8`Dh076x6ABgtc@RY{<X>9-!|!=WRnj+ZPMw7O`d+UN%OBZx&7HD
z^*`C<@&}tlytm2ew>GKx#wJH!*`&-%n;cBENvY>HiGOO7@FzCe_lSQV^6!0{$UU3v
zzhe{gwoMM*v`N_;HaULHCY2Lxa`uXi_kGyp>P4G0ykL{N=WNpQtW6S6+obC$n|wZD
z<2@KQNp{R8<Br%Q@UTr{58A|gz$R<rZBl3-bM7IQ-8Q+j(<YHSZ1Q}YO?qy%$)C+O
z8NbOU+D4l!TW^yB>uhphjZLbrCZClyUQ4m@{}h{yU1}43iA`25vPtoU<Q8X>Ci89b
zX0A<!#4_g`&Yx|QqO*8xhE1AIx5>w;HW@v|CiclT*)-866(-o^&N${BYm+o%Y_ez+
z$B(qhh2b`7H;lRtvB{jl#1O+6(Kcy4kofwOOFx^0_2szU)Vr5WQuVaS((X1<-Ka$u
z8?RXqTPK_B=wOq&?QQa@txcx4VVu_F+tS8oV2H1|O|~?(Nu4O_)x;*V8{4E<BXVqD
zlfm_=RXv*=t7DT6wQUkmi(_lpq(OvDlB(HcNmZLvs$!G3m25JrB5PK`CXdV6WI|bL
zTZS=|O-7nF;jb;owQ!pZEoqb7C0MUw)TSt37qLk~m`#Qi;+TRqxtX83<m24DHhB<Y
zlgW7)Gq+7%<|Nk~%$427Yr8gCnUxrP<m<J`E;q5cY&>VBAMC_zvq^q~I5cvx(kB+1
z{LW&N&6#b|CXnMYQLhZd6=0JR>22~ptxZ;>u}M^Fn*^n@$(a;38J?WS{8=YI`sAM>
zt^OL~_+v;yk|9%m8B+PDA^txM+5gRu0bdOX`(nuZPll}fXh{1Hh6KMi<k4G07QQhg
z>a`*ESBBhtVaS|BLmE6c#QKb}o)|Lgu_5&y8De>8$hG^1{CCfghIb9I-7)0OEkhRE
zG^E81L$X~r<avT2Yp)v8?TR6VE*tXgq9OY(7&7d<Ar;OUlK!kAmrpatDMOl_G$i{8
zL*5)SWcyJ=VvZP6{;<L8z|3=ixb_ogydeem8IrWekmI`znYPQ2$eo7d*kQ=WZREDq
zknvj#slVBfteePhgCX(j4VkdckVb1cZjB*dRvB`1r6Ds`7}9b%<1I5J*;3+IY{=3@
z2Jhiy-UZ|vXGr2aL-x!y*r$na4#)myNQ&9iWu_tPXOPEqYB9}_+*1wSpKZw1NrtSM
zXvokB#4z5Fka5&}tRc5X8?t$nA>&3;n-PW-A8ttCFhgDrG33Z#L*~aA(sz&{HKQ48
zAae{b<Uv0}_VzVob{|7}_BJG<7mxKcBvlVXo^&(hP*-Z*#gIXr4QbrTkYXJT(K;CN
zwH@o!){t#&4EA^OX=O;=maKOR)~q>?H#OvXlp(t#4Vl-3IyWY_MuwDWNDnkHBz1j5
zUe`6`Vjae)&DzxBn3~k8h9MOr3<<4nNS11b{HS8c{mQIEC2CQTxhfbEU7o%xXGqnu
ztalmuuQa(RL*ABRP9f%S`k^E}RKk!U#SQ6LjQSNdL=~Y{g$>ce3_icdx)m_wZhnLJ
zvl_B9uOZ7q4VfN7UGo^yH8*RXi#c){QX+>Txw0E#1RIhj8!`C|o{La#k0EE=^qPy<
zob--^Ua=c8!e&SxgFey?X`)e6D|uTCDH23&vl!yaOm2bHAd|uShv=yQdLX?a_tLSp
zX^AHdIixmZS1Lm`rZi+l3f3SwYvgap<Yb17_9L%<y7d36OOHRgbo{ML>m*&8{?eu4
zPhIN#&?Vx#E|tIOd}c=%^+lKP&$<-*q)XUGT?%~ACGUG(^1Ra}=UZK}ztQ>o3cC1S
z>Ed~*i~EHxu0&m&&vkJ;!&5xLV?5&L4|)6n$KB`ndz^Qd^Y1XuZN|IBxHlR92J>8J
zzH7{z!2DN<;|lRyCaz1wcab<R5bt^7K1cj#$>WSJ-B0V%_mnO%Cv_QlLYE20b(wxl
zm$^rES#m^|HHUTCa!8lG2X#4mK$mm-b-5O=%Y%KoyxgnH=RLao*{w?&1nnZmojUJj
z)}_dHUCL}@-mSVc-l9v}&ARm3q|4Bax=h-@`0I69wNB@=dyKnA=kw>fJY1#A`<1%<
zU7<?`xR#UGGM)D;FwPR<UaU*EMU1gfmuU-#FHV<j^L05sPv`xf#1pH_?>V|;Le~F?
zVYV(+W^vw3U3$*YW%P9Bou<pismwV=mz$Gyc{@p$<giWDCI19nDvZ~8{f$`1>N0+e
zE{jL&vTKyi@Aq^`9HGm<;kxK3FpRN>>e6b6E`tW^GAo902kCMuT9?NIiDLlAp-_Kf
z@25+LzSOsmE{l5Wvac8M_M~<_bO}V>?z&X%rc3*-x{T_g%hJxe9O|UY{f>;&fgV7~
z_SCVRE(6-?GN%nOwPuV~x_ocRJSg6R$D8XC-AtGHO?8Qn;`~Tm{E)SYF6A5Rd<Ke~
z8tSsX0r}L|<x@RfG?c8XOS3w<jHs>i87rO7?dtNOhAvi=jL@Zdb!t~lmvvQHrz*@@
znRP~mO1gBZsIy1VALYrroG$55sH`qc$}nDO&QZD~nDj^~U2>qN=rS-|mt`e&IbVXY
ziW46qijiAUeqKbE3x#$06~^(XQ%IK~1$9|lfPC}ok^%+u5pP~yCWh*=Cxms$L#!y5
zn|02`n&l+F9Q09kYKy2~dM+C^$*Rj6AJ-GAdvzJ?Va?q1vWs;<8K*A29lETrGnY-5
zv<NroIh|h9$iu2jYLv9_vmn+fi!RqQlQYaf&dsFD>WsSF%b-gZR0?2@^z>*tdNVE8
zF6yTtmellLDsoIoF6fYgn3L0w{=|XG$#fa!M{fT#K9j3S2-^J7WWjGuZX{`v8P$Gi
zGWw?`2Y+bt^SdU6(fykyYrksp?29H|M19sI_LC+FA2kU?^$(hif3L}jcbX(e>9?8;
zexu30*NpK>lVa%mQj={jH2IjQNda_!uF1w{8o#sDBotkqXtMsXCT||`J-R&9WWxhZ
z-rd(EKYHBLWXoORzC%ptcUzO)w>0^6Qxn0^8=4%su1QK%zNX2<1Whhn)g%iVT+w9S
zWlip1(j+U|Uu3Qe#ByGfq8M~elf!2<NsWjzn#??{$*ohGc+l=7ah%ZjY^^5Y7;#LK
z(?_Wl8XwVQ$ze@i9@3;Bq7Q29Wts$_{(ems#%q$ekH;`*uO`R$Xp#wycWbhImnQFb
zYElxTcW82HyCx2_-$tFbYVvOjYk@hNHF>g$nqlxpP0no4L`R$T)MFjTttDp6Uqc+L
zsWrx|(&XAoO@h&T1$9|YylA<MbCzm6f6=7&5@KIW4Hjuq7Bd%W@^pbFMKC6geweRG
zZVZ~I$@#g|0zG5NZ;mD!I{v3g{A}_;t67@tn5juxG@Zd5(^&^Jo<{AaYT}QEQ>gi5
z=0<}_nyj11*JwC_W5&}rXgp4nO=C4lg{EUP**;p6^k_9olRYEJ0UbxMR>L*1q31Bx
zVkm2hK||=r!J6d7m>5kS4AP_oW=7Lv12w6HB?B}`>d)F>b3evLyS|LqM-wOd_txZU
zFZvA=d$M*tG%1Hg-8K2$jrg#$t0qC{(S^En<{HBIP8{1&lL}bYfxOVXy(S0RY2rdm
zTTSk?VXZN@HP=Kd#=@SK<bi=L=(py?i+Rn6u_@OW_D5;r#?VMj9yK8rtY}Q1qGKaX
z&Nd`pOlzRY=lawYd+L!3hSsHT>X0|q)n=X0yB6zOlRn1c8mtjIMQC!dI@c8DR->P)
zYJ8@Iv8&Lxm{VDkKb16TjWZSb8DcANTzP7T^W``fab-10fi7iOhtgb=SgyDh(AVVJ
zD@82WEaZ$4;hMZI$y(rG33?4Pi!)a-t^r&rs!1uVE<(LAq%i#*rb#^<D#RXv*n-T7
z9tAX>|8d=8M?U%iQ}eQBq0|Z2L#Q3L<e`r-IX5-V#bdaUlXb)P9GYaqjO?r*dIZx$
z*)*wv{aL9q7Wg#DfWcmR%0rLhyjv3!n_TRTnC_(C(c8iGWM@rq%EsDby}^27n$9uk
zt7-DWs!1d+STvqn5=W3GIWaGbCK)jzvnJmHSts1jq)8o|$jBOEa|TVaV_pF3i&5$6
zt#s_Ic$SuNaXAfj$Ntosgkeo8;>4VkjE~VNs8e#{#VdcVHQY|dJUHXW-hjRTtWpST
z|5_y*;{I60iYdRXk{ZL3tn%}hmG?(l<;_p4w8O(6R%wES?^daSQ{Svo4hOzkc`uDs
zwtuloeysg$mF!sj$tq67ezb}O(>_=w0OQ_UB?X4Pv&x^hR*A;<H&*F`kFTx#eGIF-
zer1&oc>dBVZSeSoRa)SFqE(`B`?*yb;l?woG{Ci|R;h=pPpnc0mmgdC{GwGZJ>p+n
zddR=H^nibH=|2DB@;#2n)w`UJYj+qAH*PaNZr@@)+`q~EczlC+@ccUQ;q^7*#m5BV
z$M>t`gFjcu4=FJ2GI?X#CF+3Ki_`^+FIXiQYtCCGAGV#dN^$HzYn8G%dB!T$apg3z
z;QlG*#;cQ7>49%2tP%r%j6ZIbK+HL26*pEKwMr<q9kEJD964;2s<?89HN@kCR_TOK
z2Z$H`n7E(#upr(lIk0IT@!;@Y&c)R|R%wdF-B#&|q+M3t!*7*Ln7flc!p0r+0*-CB
zN=@9}W|g-1u+=JqkP0)l5F^%Zwn|YP*+f6#_D1>)pEg)!C;~8dJ+WZhI;)h%`L)E4
z#5Gpwi{zNT+A1DwSY?%PoL*^_hIqDuH9>OBSZ);`HZQY^!iA;ef;UU3Ap#J$n3^Ge
z5p~Dig;wc;-wUiV2`+4m<9uA2Z<Ut#G|ws{VZn;IRw;(lu~v!1+d1Tc%vkoHRf^!`
zY~sh;S@Z{juyQ6f!?_t&X^v0RsVi*QFwH7uaBZqpI^xe1@<n#+nM~dAWRg_|AOn_8
zBnF(DKz#T%o^^!}yT(~10#C+TWgs$P#TaUa%cHH*9)Cw!Wi~=_bR@Cj;|O{f9_$>>
z7<e|!DuZFghM`uefO|t&6J)@O!B#1S>oHd8jx<;@h+f3iXzGfTSU8Y)ae07MIwK_(
z^`{=V+RrLoks3?-5+|<rq4yAgRlT`RaIY8nBM2LNTBQn}^{~otxUi?YRqEqoH>*rW
zZXEAQeekD?Rpy}>5;`+BGGbjPt5n9bj#e1~5B7IpUGcL$*BOf7YCFzBCTwVHm1=m|
zhI%0<PPC@~kpjzF5icIKWbNU>!4|AJ{xv6WC_HFJ-@t=|O?e#uqS!A`29G1@IRxW)
z6RsJg#_Go8j#rK7SLDN`hV0?6U}ppN5&Wu8ufxQ{dW?k}I9-=@K_+aiL(TA`wpHfC
z#G_jDC353@P4b2ndunhkAsJRg5Ch&;=bA$?+^xo1AP3G?W$%I&d#jKeQeaJG_6vNi
z#C#}&#EPsJ!f>ksH9>ZqEl*Cc;ZQmH78$XlEPFMQV{I9$)W(m})D@NRUa@XaNHnc7
z6~*wNlvTzeKW+%~AQvu&vo|6e&XuIM;l{}l<NzCv6sK=t#ld1+qX@$OqQr&F*jI!e
zKql-dY?ao?h&^HK=g5S;g*XO**jJD>MP|eoU>pSDV1DL;j-&awuHeAQyjJNA56*^K
zr9XmkImF6qw^j+k%{;6f3gJO+`U55KJeO5wqBP#+q%TkvKXR}yp&tCPIlEPwApm=W
zx%WZGiEPvb!MK{0YXt@I&_{h?;;ol)Q4L8Rt}R3&J@&cD2@affagRU<?l{@E5RNwv
z?n$VDe|BO)OJu=O8+$ym<GR5*qBvgZ%!wNC!&Z%2L&GU6>xxj^w{TxZS$qj%PeBu8
zz@aSE6*+J#Gc|+4r$G7~jgTG(GjSYp;!Z~LMmc=XK(1(xAe;;!Kjg=g^gIth1pKip
z9oHUwxSp2WQ5s*<(938J3r?q|KT!m)Q?W0iAu`}-O7?Z+$Fme%N2ra|*q@v_Aq0>8
zxv!!YQsY1}))1k1;>Ui7+DL<g|18oU`H}e7B8$)vnQ-!tMTVjn-v749Dl~_Vi%Aw4
zhcfu}%Ocy*1=(@`r$y$V7SiI#4~q;!VZ8lrk(FoxI}*NGWC|+7AMsx;(hmjj>Wf8|
zqZtfb`D~F%s04rP|74K?2*bON7FmNf@Zk0bi_AtXq{oT(78#CG`1#HvJJ1t(@$#*O
zziDWZmT=+L8_q>-WWedy78#AQ`1gt!F%U)Z`K3iRqbu?t@dYuXCEU1^XpvadM-VPQ
zxA0zci$owjPCv8ASX4lA9DYj8Q3^><EV2jvQ50VvTVy+WqYyqmVs3OtKD>Qsk@e_|
zJb3xQBCF9JIgxmuHAH*lMB+WZM|<Q%;$6N+d*npo9ll3<<iv~H)EJ!*f;YD;vH{(Y
zA0KX7WD9yB3}0?gXY@lc{Jd_FeHaXdWH@?_+M*KD;%tINCZi@Y<LXt`0u5oq-7EAc
zS|K}LT(-zMbVEUWxnz-Dh(;;+;pjz+j6oFy;L-()%t9kL@$furh7JhDhjY{!10e9j
zv9t6$sv{8B&RAp~nj;u5Pg`UodZRf0oTBeB7S)j%*H2nxK3X6<UY%h5&<_HCoI1|+
zfO@dw;W4fkbU`8fIBJmt7=@|`#PuT<S%5YO!KcIY4Thl-GUD1Hi^QQd^5Ek^i|ocw
zR73_O9N-wVK`6fLr`ItG)nUQicxr_%D2(6xs0}8e9-Mf(m%czhD5SyVJ=6=W5sI(7
z$pd3i3pPC7#af~dN+A_4?zHfK56(kgeBZ$}f{CaP4_<C(|G{8XLT23A#x;%ZD1qcS
zzm<Int&kT#w$K}xg2o8O`^^^Fi_xeB2cB=DuMvYv$bx$txwg;;r4fLe8>kI>K#&Fr
z>n;2}J?e$xNP$c1s53gCF#K?CE&Bx8q7eSA;b)kOb_jzX&abA9Xph23h6}6cD|A2+
z_~YVA=0HajLrPp-VUZ>1j#5aETg$n|(HG^A84s4Rei(!*(D7_3HO6q%f(P%Gum@uj
zB9R9_7t_O-gLWu_6u7#`!fUVWxhRcHxWABj5QA!P;PnFb2uwsILXZ^4zJU4YjBupK
zo%!?&2B8`pcs-BvF%gjn#h<y<2#e4IWsn6=V!6&S8V!&WKjyF}V;(v~kOBAqv&be4
zLv3Wk*V)`7F&CXt3YqX|7PZ1?G(>JB&1CJc2t82_RwT~gTE#>(MSl3>+I0F0gHQuL
ze3{04n1`+?jUYUq${3i0<|u@exH*OTU<hg>7(XV{S6GZbs0=4QOyW95EV`gHEO;@I
zJpj|t2E`G8hZCqB#vuv?kOH^Hvkzh<8X+(Iabq0!CJaXdguoBi##&@8hN2#F<L?;y
z1*<U_b&wOkNAny2t1$%ikOzLaK8o=%0*#OlDR6rvdo0Ev3Wbmc_eT&vCZGk1A^?wv
zQ%g)kdzi4|%`o-~%tKF9h6mq<vaVQ;L8yb=@WYKE)B>Xsg)pSUqruF9>F9_uu;F72
zy@w?jh}y`FWVkhmJqY8`5+#rsFQeHHF&8~i1wQ;7$exR}7>OtpK}IAFu*f0IMK4rC
zF#hzXj@X28Xo->t!kc~;{+6jl7NS3DAvgSSr!Td{6m&pYIPt9ydmYwd6q=zpvfxc`
zo|9oQqEQd|kOq%?(R26@Jx~?F_}i17##T&52b6;wKYOs(ViP8yElR_IZ{4W{)?+MM
zp%e^!?#AALH5i5FC<!Y*bY<VcN{m1=l!S&)T{sVGF$S$*!j5m9=~HaP1hhk0xbdqK
zHO5v<K_^s1R{ZTqzhWn5pgXD~H&WqA2i6S>5RHZ?jLdk~o>;LOqtOZqPW)`goY;nG
z=!&Yyi4=I$mU}VgV*nbUFtXr78}h_@Oh5-zL@@mEur=o*4$)|YqOjmoE7l(yF$tYe
z899&wk6V%t79s{sPyz<Nw;*Qhz%2Ae9TY?$-Zv*MY``RRMpfiS8YDKOzpw(M&>Cgo
zgC8C=C2lN03?dN@2a=-bY3##%3_>Kr;XqO(k7FO^V-O+{4hNE&@HqBiJ_aEY;cy_S
zF^^*(=3@{d5e_H*G-7|kK`h2_v_d%qBPE_U<X(W)7>`b<hEQa{y9PW5z-CNGFVsb0
zSn;hs`xAC!E}{_$fg65!T#tJKR$?4Fp*r#*5TELD&0!~E5sfIA@WLNY>#z=3jS1+2
z8YqA)_)?p7#%|0*44R=dvLYp3)S|bs5!2BJ4N(#<_~A)S=D`|FLU+_b5g16SK}~TO
z%P|(65P<>+!nX+aS;S)zMxZS!BLo@osXFmuFBW11+Mz1)Aq&1$<2uFxEX5dfLJbsx
zhF?{Q2S>0H6VMHHP!x9jt->1M1lD2-dZ7VI!VP~UR_30LE%*<E&;k{Z2bu7t61m|3
zmSG&aq7I6|iDY<Qky>LjW+NKSQ69OG5uYot4`V-;Vl29#Hj2UlKRheXSlEI&7>w4a
zg8Z-|sT}(cPGSRQVj!BM0z!}(-^=ox8%MDQQ_&ZZD1)5HfX`*f69=&Z6VVe5Q3~0R
z7Vk^*+yn7gh6(72Mo`Fs4EUnBR&fMtFb)0D3>6THApA1P1E;VF|6wrNpc)Fn20tX0
zV(-EZ#9<^lp*D)cgH(7cTwmCSWtfQGh(tMrAP7m}^gqsG8|GsqI-@Sakqznbxg`1E
zDAr*n2B9^oAq);A$LkV255qnz!$kB(B+4NKK}agj{5Xqkh{I@fLqn8CZe&4HG4=$U
z$4)H5IP^plltU=2_*;}(;S%;>DJG&1nxZ1|!$2~;Dnh)7#|lhAf3!dq6oLaO@U}45
zF%DuiW*`RbPzxmyjEwjZ#&w8u*onoMfIeu3$|wXUQsF}(u74cEM#N$Sx}X6{BM&V2
zTaf(?R}hbtn1*PyK@Ai~Rs`T%0q(gtgY8&|ap;X^sDi@qARWHu=XjjOPAtJB^hYa1
zpg6K2BYx&%eQ*(bu>#XD2<=cCf}F^LKY58CS8)JqFbhM`3H4DLA<&QvZ$i2E;0QJ#
z79-Iek*I_)c#t07L+CGD#6GOTObkV5G(<V%hXbkcIS==EoW(9I!&D4Hd(?$O2y`UJ
z``la`IEigogo)^n)~Jba<U|nu<>DH_4IITL%*R;tMhirsByz%nWO$d8d2k9luoP1f
zgN|r`awq^7(&2j!)&-Yw0P7Ho(ddQdsE!iIfgt$dZFYJQC$Sw%Fa?9q0rgQ9`Qb!b
zd<&-DxP<*!i#ZsDo@j>ZD2ZIqkOH5w(QCMXc&tS%#-I;cp%zSp!j3ffmX+La1&6Q^
zahQMsXoq?zivn;X0Ka_n9<JjUwqh}+AO@Y#2o+HnSrLf8UV0F>aSA)J95XNs-4KPU
zD1ltikqTcu#EPppf-P8#sThK;h(a}#L~a;Jjc;!5iAcavY{e2x!%%cXQ&dMd^1y~P
z`0nD~jB7ZCZCHxw7>4d>h6o5kU`JZ~aI%l$I*wyImSF~lqX(L!21+3mP6Xh$gIeJ(
z&LJM_5r;{LK^H`!Is~C`A^^YboR7OWhj^?<93~+KT@Z!p5QM^s0Q|ObKJMZi;;|la
zn1mQ~K@_S(5DF&(@Y~>g+{HP>V?E+92{Gt`C{%|a6i#HoU!8pc4{;esuno&G8)MKP
z9nct65spx}kP-hh?g@B=D>#bnSb_gA76Z@`O;8Pjyl^8E{P5AreF#@^3_GwAb1)7A
z(Fu{Lj#9`64+4=4pDbM4NWgLI#45yMJfhJVQHX$v{O}?(lH+R-{e)XMi~ZPyC76lP
z=#P$wL<AHHA{(qojh|WAKXDHiaTwdM0&_4PgU}VtQ5)q@1UX?tdi=@E8sQPH;y89;
z4d!DqhN350qdqF31VZ3KCM3h>K(0~Tz-jEm1}wsKj6`3wM`Kh&DddL_K}d=3nRq^e
zd$@$7*oifW!&HnwUvxkuYM=}XBPZ<006%=r$n}p~IERDSiWP{(L<~Vsv_V5uMJW_O
zHfTtT-x;VE9^)ELVIMYP31(p|qR|yCP!|<Z0-^9A3sT}o0PBeRxQt`ig|%3KX&8xq
z=!huPL|GI;E;x`8$?zpT{e?TYh@;qrby$R%7>hyZj@D?1YETG6PB@SW$?-iMG2#KP
z;w1KA6P95PCSoXhqdg)~6Xj40A@CpwsgabHI^qd#;4BVe8&+XHreY-eqcfVLE-E1$
z`H>Ae(&Jwm)*6YpgNrzdU08=jn2E6%gzjjKhNuRGFyw>-nUEacQ<Fa);3`gGKel2O
z;xHX!FbF-+7EMqS<xv9pkPQYhz#rdJvB%;OuH!5YVF%V?5oTdLhM+e(pegF05(EX2
z0}cctC4Qx(#(0WbxPYVBjSX0eIhcgu=!ec|f%>Qlg~G@UH-eA`e^Rg?A`y3S87Ht0
zo3R4(FcqUP5Z%xkjSzvdD27n@pdmf{@HIJm03IL#r*Qz=u@;N*A0}Z02A~_-pb2WB
zBG`1L5OTo{3(~<4-~6dP9^)o1;28E|GgcxFGcXQA&<CB+0u4|dWl<dY5DYs4kqW<)
zQ762>eI(!v4q+$OV<}=W1)~s+9%zRs)InvKD2zPtLPG%j@xzbj#(0X`xP%jk$5yPy
zLd?Ph3`0M3K`S&u4U|Vo6hIC*kp*e+_g|2F!7Dt(b)3Ty?8Zi{KpbXb0)}G%x}zPM
zq8_TDEJ~mNa>5NO0+1ZP{szfMyubro$9WvXK5WGrEXEv6!Dz&wH#(su8lfgCq7(`v
z1X*E2AX4M+pCI{)H+X{ExQtUch@IGg<(Q8d7>{A-k8Ws-DAYw&ltFRiM-I4PL3;S(
z=kFl-fJEHKHJrmy?8O$W#v=TO$ryz}=!K4GfrhAo3J`=L4}36?390ZWi8aJ)JjN|t
z!bu#!4y?yA%)<;!zz9U67doL8nxGD<qAW_H5b_`^?8t(2@W-!TLGlT&@EEso1!r&s
zd$AR3u@v(#0~0U;(ddOvXoV)IgQ_Ttk|=~c$O=2MARYYi>nHQ$6&~X@uHX!gU@x{}
zEtX;)W?%wFAR4{U39Zlsbx;*$Q4)oa2U%f97Nmnee*Iv6yuxGL#uc2w5$wfQti@8y
z!wgKo2t=b7I-wPspbn~{EJ~sf@*peh$bxk6$FJ|qk5_n%+qi-=ID);{inUmZd6<C-
z7=c0PgRW?Y=4gc4sETqB6hS`ZgcmksL3*UXpKn3(4e#*+k8m4TaSq3E0K2dmYp@ja
zF$<G12179bJ<$oR5rz7wfl4Ti5-5Za1j7XlnUDs_@at=ke8w9*!+qSqC7i|)?8A0!
zz)CDaET&@uMj{4%(GBg<0*z4z)leR#P!#!*3qIHpgaD+(-!DP(9Ut%#k8uYHIFA!J
zh~3zNwOEEY%*GUq#V`y+FLXv5G(`i{L}ipgNrWL3+2MwcK%|8~l0LI{;4Plx0dC?l
z&fqBGu>%{i3X3rpGcXaOFc|&N9UajcP0<jwQ4JNKPy%7di=6Pm0V^^gEt2EUC+dZd
zc#UUxfLpkV^Eipa*oPh1gf&=(1(<{Bn26CBih<~ju4s>zh(vwVL=}`nDHKCNgdjUS
zuptN;kQ&L5^pX1v-s2^n;2v(^GS1>S4q^|sVFOlS3Fc!qreZusVleunCpx1onxir5
zA_A3A2H_}z{K$=La6w0Aq(@5p`@sDPpYaxnc!WE+hKo3jqu7sK*n)Lffkl{$nV5{R
z7>+^ci|*)%)@X``sEul<0EH3=Ltf;B4-Qz732BiWf8MkH_=wkdh6lKXt2mF7IE;PR
zflXM0WmteYn2w1UjiDHb-sp<<Xo*PFM=exCMU;V{7z!aTav>Ysu)%^%NQad0L()6;
zLVUy<B;qmd;U=!)0#4%?4q`8MU^CWXC6*u#b1(ywF%Ba!1Ow3r-O&kc(E^cZfZC{z
zN+^p`D2_1XLv94a13Rn;M0%t`GW>qa8sHP&;su`IK5iia7jXv1aR~dc6I-wztFROc
z5Q~|Zg7FxIp@>Fb^gw5{LrX-VA?hFkl~E2RN}w?EBM-8}3kNi0MgUU7AAjBi$q#(S
zJG{hGJiu*S!zG->2^>Z|c3~?vU^SLuA?9KhreXp{V;BaZA9|t-+M^Ykq7mw%2CASu
z6iT893LpeI;DZx7vLFM}AUXcN<~qg~yvHj%!$aJ`bzH_doWv3A$8K!HMy$bdEW$j@
z#xzXC7z{@Y`lA=Rq61o^85*M=YN9GCpfm)<Q5Xdfid+bW7fu+kAP@magB0+??^mo7
zzTgAi;02!IA@1TP5^xFUa0<t82=UmB?bwX<SdHaaj5x$%7N%hm#$gnOAqE4`2R+aQ
z9nc0X5QRplhgztP$|#T05EMsY6hJ6)AsAjbVZeew1RxDkzz@G)l0UxS1K!{Tp5h_y
z;wBPs3FmMM$8ZSo*p2PjjP+QJ<yee3#9|hvVG_n+6ow%N1JDOO&;=dP1}zYUMyQ8c
zsE*1gkJ1nnM`08|C~_efUN~XEf<Ocy4N|}lzh96)zTgAi;02!IA@1TP5^xFUa0<t8
z2=UmB?bwX<SdHaaj5x$%7N%hm#$gnOAqE4`2R+aQ9nc0X5QRplhgztP$|#T05EMsY
z6hJ6)AsAjbVZeew1RxDkzz@F@$sb?v0dMdEPw^0UaT5u+gmXBBV>pC(?8bI%#(J#A
zax6w1VlfNTFbU%@3d0bC0qBDs=z<PtgBFNFBh*7JR7Yi$M`;L(qc92}6uFQcS>b^b
zHfRV!ATl5wQX>VD;qP<qr}%-d_=NX(gO_-YCwPc^xQ!b~z-3&(S)9Ug9Kk`vV-I#>
z8#ZGD)?yWwV+j^wK4LK&GcXmCFdkzt62mYU(ddsp=!tIVj1FjvR%nhWG)4o|MJ+_2
zDk`Bo%Aj4lcIx|ww(9Jlw(4=Jwn}ESQ8!&})UGwH)y*QURrrxs>QRkW>eQW<>SKqN
zD(YJcm1a~6^(}J?m3?t@H9KE(RdIhaRjhh5)$vYKb*EEPHThSR8a5$HZM8?K;B}Ge
zdU&Kdd9I22(X@%`@V>Fqhc{L!gBq(sD;lW<#TuzfXBw*fO&hBE9~!7VBO9nly@3i}
zS6?+!_0_hk^;ESE^_2HdT~%mCT{S#sU6o;f9d)fv9d-LfZRHqRTg6&ytJ>>psfy)l
zss6WXswX{bs)=c9s%}eas7WPisArcW)WA*=s&euORXeV_nq8#23c6TLo$XLf?f0*y
zUdB~bHH%eM?=DwSC%aTpw^CP8!OJSE)n;YY_I4!|*{_nCkfoCPxUr&|Uag|)_@aUu
zIJ$y5oV9`~bErIdl~;*L<y3}w<y7b5<&@uzvg%ylvg)FxtV+ARj2c+CjPiait^Uj?
ztpdYJt0q^Ky4_o;sTQT8cbIB^15<tcUP=v~TS}SXrBva2d~9*3DE^$ds(UP4IopRT
zTe@&nZ9_@5rB+E*?Mn$|i!Gt}>y)b2!{TbssN$-A?&2!@g<>jK?_#Q%QB0lOUsSbj
zT~rlJTT~U=R7AC{UqqcvDy&*BEv)iZDXemT2vZH`gsEL-n5z7|kV-$Lkos4okP5zE
zP(_a^sFLL`sP^0_pq36RpyG2EP^qrwSHoiRtB@S|RjNz*ROaY>s(Nrfwd+D&ReNAw
z<p|EJEEhvnspwEOJA0^dUJg-LVnWoeTp{XgLLQZIcpf!0Zyx2jom;&flUuzE%dLVQ
z<x-ue<We8QbEy?CbE+|Oa;n)Ca;nRpbExp8In<R}In;muva7Khv#S+Nv#SpQ*;V`a
zV3od0u)5<2RyWUPQ^{hosRp6h)Q!7Y)u_o?RZ}yoYWd!$rZ4uXH?@7LcXFS~zQe2h
z+j~_yn^%=O>rwLudsJ`%kGk>Lt#-_ItNoST>O+!CMQn1ZgjOy!T63uuXPm0-5T}}1
z$f;gGcc?D&9ZIj|P_I)s)QdfKm9e{BH4V0_YqxBw-&C6_UBRXbB^fGWi=n2qH&l|#
zP*W3hRc)fK@|V?B_)krB+pMY6?KM^1qp5G#t?JYit2$iKsviBds9d`&>c8$56_U%M
z5+4SsGjoGfLY*L$A|Oab9?zm~4#}bh70;r|f6A=F)@N3g+htZGy_wb1+kvX{>_BDI
z3RJJs1*%8KGpWDBGO5y%Nv-;xQH5>GsGfGqsP^W`sCGQhpsp>=plr=Es1c3~D$~sX
zb$C{Qno~PKP0tvhHl0ncK8{PT8dglN9wkq&rXEhGS`1C6>X%BVx+SGmYxks8X$PcL
z6N{!*1;3_IzqX}O&wHg&Ukj#DIX<RV(VJ7NkKI$N3Hej2itkgY;7#bBN>$3AN=<s7
zQhnZ(QpNO0sd5(N>yIhaqpc~_$KEMa)*>lX-*3s)%U#LUkb%ink?`ay!ykW@>Y%^!
z4)<4)<^0vIl>RF0R5EpGLNYZaBAMzEm`ruP>Zd0B=ci6L_EWiBeyZl-f990R|I7@R
z{+j0+{x#1&_+zH+@W&kU;kQ|C;BQm;|279sOfo-NlFYRWf0>JO{W24_{xmC<`e}YY
z`NMox=ZBg3{&zFF<9E~d^_!V;_%}00hHvJmxnE6Bj<4qTtzXRarN5Yw=Rcb-ntV35
zy!d49?Dxt1mg1AyYvxBYch--lbIS*_YUvN=wu|r0hRxrbMc=<OYYu&9F3a@JEV%fs
z`Ln=VGwJXfvsm3X=7y)Q&8Gccn-$Z%HapIHWgZWGWi~nZ(#%!orJ4WP3$y!x7iMDm
z7iR3DM00ppqPg_sb2BOOxjE^>Gqe6^*q@n`H$63fmw#$5yZyu*-s6e+U#chOqqxUr
z>#)bB^UNbNealB?!5<IJ$x|Pio}3TO!~+k^XAK^h#{2u`@UizzkN3X$dG|f@ckO#-
z$=7$y4WsUw_1$;Pg1hgSW$WBA$G*93CL4R(+~m7$PLIE3u4;J8{P^jn*=@>A)05|>
znf$~J)6wdN+3xRk^Xa_n=ImnE&4CHm%&9%EnKv_DGwZESF#W40n2!^$nqNj=HH!yd
zH8&o)Vm4@b#Vp`=#SC9`*&JYAHlN?SWR4zu$*k|XWH#7;(Hz(GqWSvI1#{@a3uZZW
z!7TppyxDa4d2?&l^JcMQ=gc>4&zYA~pEIAYIcw&re%4(0?u=Px`We$w_>8IDIBiyn
zK5edYoi>XeK4pGsbIN>}=9HPV{-jyH_DOT!*Ar&Tc_+*w>V#SB>2b6D_~YjBe8<gN
z3CGN|(Z|g9o@3;7)GXiSsJS)EQ8QxC5!2e@h?y?+5i@k-VKch^Ve{+nLuTCaLuQZa
z_;S#Ui#uq3DSyx$@b-Y2>%RkL3U$Ct|6;#sPTz0FmE3RUcp7isnH+EKD;95_c(l*_
zJ#nAewCFzb<-@(^qKSLWVMX_v6Cdp{4^P@-`ik!{*FD*7HlMoNEET@ntdO|N>_2mt
zd4=7&;hUXi%DFqudlhz?_do40(=6U$Mn&u}Z~fYC4qd(7jA*dkET3Y#*=FlDbA5|#
zrYqAnbLal8=726+%~p=BW}h=#%#8!Ln1Q*snDcIKHmi->Yz7zKY-WG4$&85IWG<-8
zyD5KeG`FtVX!dWi(QKW5quDQhgSolu1~ao~gE{xodb84q^`^7%dQ*SC&MXnT&KzEK
zo%ugQ=N(pa8^&=(qM<^Gq>`wlq)7L8N{XaJR*5JHl`Y9gdzXevdr6{Fh(Z)Xw(M-#
zd%R@Ud;Yku=Xb92&l%6}xzBZ-`}_HP`ny+z@82ufYp>8$-79p@mka03<)YBITnu=&
zM;uDuBQ{LgBNqHC6TUTNB6mrd_%^Uith%yWD2MMBw=H&y#`mS-YEh}^KDSi3E0l`6
zO}j);;4UFX?GpO!C1PAwiCE@bB2LJZi1EjZ#jUl)BEz6qY<^NC!ZVA+{%J*`Q>I9)
zX($x30fnN`s8HlSFAzDo1)^bAfsj@#5Wda%;``QoQ9LeRto@WHy!YgZAkREeJt$A~
zzL_f`6LW>`<Xq9-Emt%j%@Hl@bHpd(95L=qwkRmc7KR?#;<kFW*mWaIq$OpEk||l@
zR*x*9-?&rcZr&+OEq01mUo*vts!UPqn<*|2&lEk|GsL2T4AJJEAp+Dh#OPb;LOwNJ
z^mI-aLlx46N6QXzG-`(!XS+kRO6?FyC)338t!cs=)5Nx4siOW!s_3^NRV0|F3cYVB
z;$cmSIJ7!N>@`UdCqE{OZ<Wbn(u!nJXOt|ayx%T<?b|NS`)wDsBe#pDcS+*iz9eDp
zpCodOl7#k$L~*7vQADjw6h0=2!uxZA2&qXBN7p8ZzUB!c=6k%*I1(=|ZHyN=5HF(t
z#)*^@aiT6HPW-cp6ANYH#G`YuVpCkKFms9(y_I9d-_{tRkP#y+-C{)e;281takN-j
z5-s{HjTRRTqs6X|Q6l?5l&IJcCE6fL=ygSkgwv5iDJD`>IYx@*Dv`qac7!m?i4Zo6
zBE$;42yy6bxKOJO7dryN#V8CH&$@++182iTenOZibqN#a)Wd|#<51yI8Y)`-LWSp;
zP$B;-L|i)=BC4Z8#6G7G(bPXgv>(|ff+lSfwzq<Xt#_~p`nFZHhiw&MeYc7^#ao2O
zm@Ojb)MlYDbF-*v-z4JKZxUHDo5cN$ATeD(Nc^hbC~i;PC^?@3h2iQzQ6wEGrlxNY
z`uZEh_+tTL^Rxi*<>`8n9k5;m^j<H*^VW&ert8Gmvuj1$ytSg{(;9I!VvYE3;2N=L
z|7y``yINdsTP3cnUM0H8t`dv$R*IiyE5(TmD@3j53i05lzc5es7Y!r)#fFo9V$obb
zvFVeqI1}wFth9Z_+q&hVdB$>a?d>ul7qLvN*IXw099b&vOkXOlzV#6u5k6v?mXEku
zzeL2&S|V0_@)jX+-r|&=w;0p3SX`gKSmgio64^Vv#F^1vV(?{8QM}w!%<1VV#+NJ-
z_STC;<imyH^QMI&R(+vxKI|cEW_gIkUl)j)<ORaWWP!MOdA=z3pD*^w&lmUhx(jm$
zcX8~^Jh3Wvo^UppC+4@fiS*@e;&*R15x>_}*iUs8rtjwpyTrL7(s-`;a&?Y~Su;mW
z?KekQ*3K3#b7zZ;U$cZv?krItW(n`7GsUcknPSz5nc~m|7cp$5i#Va;BEoBDh_!Ar
zMEt+$;!4qUfs>|-*0;_gZM(AwHkYjTris?zX#$2#6PH??MD!{r;iu{(HXd^n`#l|n
zQZGlbvudhvm_1bt`|BV^lsJf)4h~|^mnlLoYl^sFJw@z%Z7-6N?M20Sd-3(jWU(lA
zviM;-SsZGcB(lRNi9JS>#G_kw0=L<TMtwWs-)bwYw%7_7ZY$<rn<z>*O%$qn6Gg>U
z8{xajMmX!)h<Vp0h=k1(#Ean*gm<g8kPEgJw+*bt`CC@vX{eRZHntLxZ9*tV3(;gI
z#Lg!yb|kVm3@kcdk?>0=(P=~C@Mjb|@=;_uqB!{*ghDxp;JF}FdxE%r$Wk0wY$@vc
zT8d{)<Av#(@uF0Fyx?mV;`cTSao@y3Jb64$^iCcp=30*vEuY7Vg+*h<K$o$iLwc<E
zdC**FE-@EAYUZN#oSE<nG83vJ&BXf$W5mm(F{1l~F~atnsn}C$Dok8W#XUJwvAbck
z$XGpE?9m-99^N()W8+N3el`(~UyOx(sj>LrYAn7e7>fZ-qr{?sQR1S(DB=3ZNXVuc
ziMx}H#KpfO#p9ZhLUrj#v10H@@#?yv2#YopR%|FVzZr<Z<pzQm8i;MG2IAR8ec=<P
zFXS!t#r01kMBVNYqH)0p@uvR>VRmV_$PXVb3~;!(^;J(4?bQ=WUV0*Dke)c-I!vg=
z4-*j+hl##_bw%SLU6HgxS8N%sE8-px6?Hp@ik>b*#X9++qFb|$s0`K-LF0AAlCRog
zb%nOb_R$v4wY7!QeJyb-T}y14t|e^bwS@lJA;Kthh;XJMBBeu9d_ABk)~?hP%7&Wa
z@{7TuylAi}Suj`}A2?WiyQLxQQ#Hi#X&PdhyoTsJH%MHH7$oW@3=*e02a31H28z)^
z1I3PU1BKdu>Y}zrU94TDE}TZG3%hp%gnRh_k+gJxc&s--I6YSrcZ=0Th^LyEq^%|l
z9;*t2d{r@NfvN}@tSau@?=K|TTycM1e-SgNzi?^mC&p*@6F9G*a39o9WVZDcpR@al
zCGLI24~@QJ*8>%?GEYU!@=y_Tv{c0UC(5F#NLln)tSmMRldLb5L{*uRSif9J%pR#E
zTt4&>e*61~f;D}_C$m0c-Va6bq)t(UZB`UkLQxEmQWWxM6vUut1!3!;AYv62#G7mK
z!h46j_&rx%?9-4Jfsf_Hf)Y95u~bfM8Yw5LKlK(;hk6VDjlIQJ>Mc^GdJCtsy~NP?
zUP5JhFQK8@OIWqZime5*;+D6pm~1F3ZhYz~f@*sT%gsGSzX?5stZYxw|FVq0G#RnQ
zO-9_-k`WFsdx$#~Jw))j9zsA5p)S=!$e-^n25j#xcuse*MYFrO`CMAqRY;4g>!ih6
zlorO_rA7CPQsPUhl=wMMN~r5fiRtgUiK2tug#4CnBGI;+&{ymxj_m7VXYOM4tDW4}
zvy<uDKhBK&$GYnO`0?Jqe3Ae1>uY~_toI*2(D9oW#{ZVc&42ThgTFX(@-O~!|0gG|
z{>iQ~KY3<$2X8g$;M-?@u*bX~tor#o|B3w0%7ef2tONh?Is5;3+2e0Ke#1AmQ2fT;
zyT0;C{L1z>zHm3cFZ@#a3;)jk%#uI7c;CfOZ14Sv`~CaK@);l5)Z`;aod3WwULW}2
zpZA=U{+=^T-t)zlcRb4b9Ut#}%Nw)a@*?xM9B}mwANGC2!+O5q6Gg8%l3(-2d#^Y%
z;1xepdBtv3FZr*-OTPH(1vf{$;CDJNm`^_Eqw}Bh;@|CTv9q1WjceycH=pt0wa?f>
z<r%l{f6DdKp7PNTPxxiR6K10)eB$C`_Vs(r*7B0t_lW(bKH|oA57{c=A-^_y$j2@}
z;JTF$__5Lh9$j;v_qyEYY5%pcMn)U=9pA=d+V1g|E%*4-kb4~8beE@l-(?|tmuK(2
z!|6_UxbyREPTp~w9me10Q4enM_>f!dKkOEtKYx=QSKQ=ZDmVGc;TwF>{RV&Tc7u6$
zD<7EJ%FbV|bHB{%+(nYL{Tfe;y~Z^r*BEbK<@Z~z@)=!8UAV&U)?8uBfmgVy@iIFs
zyUYs8m-+jVODwbK5>u~BoK=01HQg@qIjM`Bx%UDm&Ah<-{<iSP(iWcU+`=z^p68t6
z^Sr_FJO}<b$N7cl_^rb^p8x$Ue=9i4)edJl^?NgC7dG>`sm(mF;|wPkpJAhEXZXXf
z(|n`!G(Vbgn)`H~;>CMU@xwW%cysqtEUKGWZ$T5A$~Cd)kw&idZe-)WjePOsNlsXC
zlGkXQ<V`InxGeAl|I|CdD{eNhOn3t~nKp3IljFQ=`*FS~j<f2=V;r7$jQcws<MV%y
zazVvW&YFLek0>1FpU3OjeMLP#)vV{ZD|I|)TOHetmaI>Ya9rvUelqb0yL~^*|Ls1^
z2V4(xs@!4TalBUYeb#cPb}jqdIK-bL4{`4JL+tzRAkWJ`$o?}9azT%S{NIrSl6`T2
zrL_+5vDO;Sh^paKsNww|tNCMbHBXyc%~$2Cc}?SfHV@d(>W2GS^Klj1?5N_HDOLQb
zvywL)s^lTQmHbMplCRyW;Ct~E+});voqq1)BUSs@X30MOps|nZTK95E>|U<2-plto
z%2{`RIVbv*^ME1c+;nRX$0hFJb#{Ar^S?4KsV(ETE6RAr@G`#hXg6=k+|Ab0ce8Hq
z-8}qMDcf%@<yiAle*Iw=`;_hC?w-5&<e*)geY1qql1g}=eF;C6F5z(v#atd(%s8f)
z-@Py5`m!P}^(x|O%_6>cw~)1W6mq0<A@`Cm<nprxyezDMZAAf#-}yY}a6Tuj&F9C)
z`8@qy9zQC}<2dg;o~e_^mXC6ob8^|kHJ5W$bGf56hgT)%aF1y@d{{n*BU`e0O>{PI
zvdiYe?%CYll*Kk7S$sld@tl7<S^oG=ez0jLU$ETCH-BdGpCg$p0y8;pTqdjk$l&VQ
z4E7GlVDqsVto=Qm^=s4FF(94e$ENek?>l(G;T`;W!w$~3*ul$wrt!4;G<M#U#{QVb
zyZ)wfM?)(6Y)j?O)~TE>oyxP%r10pd6dqxp!j^I=>~krZtCEsgc}6lP_Dg2H+uQl>
z&h5P0eLE)&+0H3XlX(BGB!0CtiD6_CmwilR;{%C&Eg+E-EEC!5Ujol;N??!31P-5)
zz^4=wSfe$blQQC2!#$o)X~lE+^Eh5m9>+6Q#_>Y4IF9}q%jX+nSvNeEGwowpuTLyr
zx)H;PSuwnHVGO(L#qhFs(VSEh&6fkCSx-cBMvrLLxfsRGDN!8e8pU(9qS)?bBs*3{
zvj6%>F2zXhkd9=}3laQ0C4#rPMX;Gp1b4j-=jYYo{B&bDcUXtBUhi=ByB@|Dvch<R
zR~TP24CBCWp*-$*C@V&W@?WP=?mi%thdv2mxAG9)vo?g4D1?(_LfAfk8}BmR#wN|d
z{KhqyTi<Wxw;@~ERCOztm2Y83v4yp7Z04cMHuKDXoA^NLCbrh!#D5!t_~pzX?tHV6
z?Lszkz1l{0uMFgowt;MLe*@26yMe2EZ{V>-0sLls0AIYep4*nKXEmwyye(@TtBzU6
zcQ35v^NZK=i@$5wBx4Pinyg{_meo99@oGuGS;d&Sinp7tV&zLKxxr^8XGpD-Y|9mV
z$zlZ?-0<g`mHxa$&Y$ge`|)%eKaPIn%WpRM@`eGvY<y@r_nonvbv`a*_xNSpsK1Pz
z&o1TO-b?wT)Kcy&@Zs^ohw~mRVWZ7U_{G2_+*0SwcjkJtQpaLmld+ipja|$KZ+UTA
zfS2Sx@Zzhro@_M7lMnn@#9o<;7{@PSac?2}Zd%AEH5M{Ac<^%%4?fh*gDZ;{@KxId
zJm}SYPK=$;21fJw;}v(lzs8+E_jhOGx_P|AeI5_(a^t(jZhT~t8=rXV%I}k0*~ZM3
z8}H0zpDlCQTxTvDoSnmy{N`|+@*MtNJDX$NXS0peY}PHC#Uq_&@w{&{xjJhmkFuW0
z*I&ADZlVh(nY-}r`!o1O*bH_soWZxRPv@AR>FlX9ofow@bL1LlzBbUAC!CtbcYUXE
zdcSGB@wgL*E^*@OK2F@D&XI#X9a&S}k)Iu!%9lK*@`GMeS>>Pu`z>(bx3UhLbYKe4
zT`-01dQD;1gZ7;4Vb33W+w-d0$*k%*nV%?3=Bss+xZQgaYp6`(jSY7EYq=fgtJ(3=
z)3!WowJk5vwB_sz6Zu=<L|&~okyUQk@a+&AK4EOb7amODUvU%I(Q*QxdS%V?Gpu=_
zoi+dZX2pMttytH^idRTkaa*<E<%<MsC=334lKJ&2=I+|e*4Ky&Lx_i(5}$jDoRo^Z
zaUycWf4~Pyfu-jHukQui>!>B4@U!F$O-oL`I-V;+$MajW@jT_F1z*@{!7HX(uxaNw
z9#Aumhj@?UNdv}l@`bVdXX{vwHXY06FU(mw%bdSBnzNLYIghC|<A~*E+@Wd4@vURn
zDtZh{CcwG(7gN^SZOXIVO}RqZly%RJ=A)ZO^IFr<?C{EjZSqWb-b@ot?QOzuPa3n=
z24nthWXv_~qc|pe6mOd`iqm_IlJs9A)(JG?3}YiUd^wUI<&ET;*(13`aU|C^8}iGo
zhLYb+hFtp5fX&Jb_{l;8u247NjO+Sb5U0=QChBvae<OI^;St=iY6NE)jNp0g!`U)#
zI9tpe&NEepbK*rkei5n1?$&zz`S&nM&l<+-R}W*ak;8c9OI_Ysq{~m{>+&RZU2eHC
zlzq1kWrL|hSw?m!cb(E<wQV}=fI6Jpq0RD#v^jINHcuF(&Ar}g@%!Cc{9&;c%j;<I
zq(?(IKW7N{bsNGZYD0L&O-&x0s>$7_YqD$~O&)P+Fnh-h<_7!0Y$iLHo0~OwU4#aU
zi5jdYt-<<DgLrbtAP%z{#P>P}vg3(?e1Gdej^csr^iQ2l8q|5zR&}1t>b&LO0KVKX
zfFXDQpArLjNtYTAYgFUT5H<cbL5+KKSL4xVR5>tGmG4bb<vG1n`D06eE{gBZtDO3?
zt5ScSf4v`XPV2{qX7}S>>isydtuJ@W>&v?q_GPc3eHmY<u<;%hCO;MSHdf)?UzE9f
ztuk-gsLb-D%!j*_c=Kr`o)@jeGp8!CkCGCn-RQ$@nSB`N_u*RYK0M`xB6pN4@`;s-
zTwtciSw9uHvO$5{!W3A?UV%du75I0nJSXmyXG;%x?$nj%2XEx~#(p_&50GO8lH+O8
za$J7CH*0S1&3k9}=IMibvr>C6ep%j&Z?Epfk1cv}w=P+Rv$C9!D9atQWO>tISyp@A
zlP~P+$r<Z<@@DMG8@u<E>;)M<nkK_t?lL@om<(Tk--A7BdvN#Q9^5#o2d69b;IO;h
zIjX2T7yEYS+h*Na=bto3oR#LT?b4j$Ce5fT&41rZ@y)|hd?rMSFFHu^oBmR)^|%}R
zmv`f9>$>q&(TyMW>c)y?U6e#!M6I2qzN}L+Bma-)?f6G04gZl#(_iZA`d2cy_J=g0
z{?KC0KXmWVZ`$Jcn;f72k~n66(VG6h=v>85a<KbJzaDnbtqmQL99IYRE&oC5Y<^I;
z2j3;$p6^ts^qmfr|3{xE{zq<)zR|~x-y}J>Z<Jg0l@3k$N<W`}p`{^TNNVsGI(OtV
z)y@1&H$QzMjf78>sQ-x!n?Fk2Y#-@)=LeF?{XkPJKS=m^@5y!jd(!Iro|LQKk<qkw
zwD$d5dKUMVwivu6>+^5Oc<CFm>-mPFN?+3#+t(EN{1r`%ctwW8UJ;&oNdew3>28mg
zw50R}X-s-Szh6El>6qtaX7HR6F0@l0|8}ZZY^Q|%&nRZbGphLZlzyc@mE`rGlKlNA
zbbad+I;s7HZk>Ki{gytaAi2jRTlI*J&v-;x-yc$b)<e3$4{6A=2b2}{fN10c>Ur%x
zb*#TnN`vmxw3BUA>)j^FO|?<S{(ICq`<}#6b(j7X-6co+yL9T~9a@-vM`FspL-Osn
zNh9ty%`m-9m3MEENyse;-~ASqUcE_Kfj8-()=i1q@dmlAzCq8`Z%}$uEBX1h($apd
z6m$GKU0rgWQ0cnF*>{b?ysps#1xX#gN@0tx(j~d8gtb@b>cT4&BX@<C)Ly2gi!M{5
z{AId(_!3R_x<vOCFHu_kMOw8)QYsfIt>FUQUw(lmt6iWwr&=g}RSPX1+(HXm&QtJ)
z^VFn!o<>|hM>WCc$iwIynY5iH-I%ik<Id9h=grib+AMK3H%sO?&(MkdGgRhuh7SHc
zP0#k7CUf`Gv`6l=go$^Gel9;nHwT`Qu)mw=TTl~?Gi;)qwniEn-zecYG*agKlN6bE
zl6FixDe+vNAoZFPl<0MWhV?%|51Je3a9{(~7&Oq8`^QNk={WgYAEysrkJ0whW8~s`
zj4b4j5uZ3p-fNCh#jvBKdbghP<Lk-Zs-F6NtD~;nbtLazN8^?1DDw0X`WASELXD2l
z=%<INEB!EibT~}^x@yU&wwAW|*3x?|$$IM$jf_7;zpW3^n;!@1XT?DpvG^bb3_M8f
zR}awYr~{<Q2k6bW8oIT&hMsuVkler;nt837jz?FMtyML>`>~&Ds`gWc&wk1tvY(FM
zu97gXt7yUGDtgdWNkMg$G<HoTDH&E$ul5Sk%B`T;vn!~)PX%e5-$xap`^X*lNoLOX
zQosFsY4GyBG*Ndi#XKyhcbVnn=Tc6+70apl+#V_j+d~<=hxYv}qlX8}ByOED$~G*c
zVJ~;nrJ~)GvS2r@8@QX+-YTV}lu|n9R4VZZms0ZCU8Ehpi!NL3qRhV~6kK0Ip&Lr5
z$gG4OeJ&=8s$#12D<&(0V*2>9i0XG0QK46nBtu?AXC4(&x4c4fbuX0Ul?!S9-2#c@
zw}7tAE}%pGC3Pd8uBGOatV=%4Q^}{6Yk4#?Igfrh=h0E6Jj%S9OWU{SQi*dewJPP(
z;A=S)mYhS~XXH?UN{+;fl1=()*`zuvn>1Ck$@+E{1!rc_9oH;!7?eeK@9(70yq#pb
zaHk~izLN&EXVR$BOq#belZp*8smJ>a3aQGV0c$eoyjcdN{Ya;c_30G2C0)WcNvG4&
z>7;yi2L;CNpr4LAC{1|>+22f~0Xx&E%RP;xw9{zt^HiF#CzT5QQ>m9}D#d<Jp<zc;
z=x%Tdl}=2dgkF-moJ^&u$#iFKG7Z&Crl@Dzsr#Pol(k~JgqN|Mlz%1BmlH|!E+UEk
zIV6$3N)q|sNu=|6iNxNC5^h7HWDY!mM%N{f?6w5@VV6Li3JEmiW<1TwiKpFO@sd3f
zPsv~6$e=!s+Ct)}#6FH9l;ddY-B?O0jHScNVkNwcSeo`LhE6oaNPLDd5*|?u<!Hpv
z^5@ayTp3M{8=`5ERkY+aN7L2oQDm4CMY-Nlq-PvO%^i`nr74o8#z&Ir>_{@!iX@vi
z5wzl91XXQ~pq};-6wo(<{yYe$on_%Pb!|AQayb2v4W|#SVe}_2jI@`Bk-K>qRdj_?
z|BIoNnh{DPyh5pUR4AqW3L)R-5OPfkk+?%bXoEorIlkLQcf+?)^5AW>zBZU5rUgqp
zlv`<d=vJy9w3Px6ZIO7|w$O&xo9Rf{X42K%Oh=DwqAf0)X!(aA312UW&gcfwn3Egn
z!n}==oJk;UP7S0q<3PH7VFOKEx`EodZ;-I?11N?AD8FqzJqlb;_NwdY!GU#@J$)U8
zeq2kb32W)H;aW0nSwkn5uAzXQYiM@qYVxpMO)2fG=tI~lT03+VX`fmt@lLIzA5tr6
zNbw3<WwU}_Kl7)!aDSRL%%3JV`;nKAAC=1bkxIEQl{)y6=lkVkm$aN_j9yNWt;^`i
z`en3uz%uG{bSXWVzm(d#eCSWHkAykoBbn)3LQ@l$P;b*E^zo)Q{n_YECYs(9+q9VE
zd=}FIxy2N^--|ZP@{;77Jn2@xCkb0my8LDlg>PR(3&$=Z&-)80Hgut+uPmggS3Ky&
zdJihq@Sylp3n+8>0y?j}fVAr7Q|`j~BxL84%zk(JI>()Qbj_3a2IkRD=XsJGk{dM@
zx>4d3HwymhN@+Q+blKLGj6Tk#>dd+1I$<v9y_-X7>2oAZpgH98W;UHkn@y9%Z2Ite
z7S*NAqB1dyj=q^mUv|tSN9&n%;hhWlXS&dsi7uq^X$I-%%pljvGbH_ZI_VZprxT9T
zY0EEXTCm%hJZCynOgCq0t(-<y?$ac>;As?g*oj=dooISrC-Q4_lrZcZCA<emO1L<c
zOgBxXU;0z2{f+~DigF;$aSpWN#T0tHV+yUaok9lx*^|^Rd-^leo(A-=r`d-l(;@H4
zG*)#o-EE#kxf>=?*oa9Kd)JO?V(sWR*wK>rw)7>>mhzo#$zRHr+z(D9za<kT9PWwq
zvBicKZLy(m#x_*;bOLSOF@aW3o<Nbmt?5{$HK}-7Q%rwriJ!@eZf~}tN)s#E)h_5*
zrl7A=1x@KDsPPcf+~rJthA_QoCAuF?^o59qe?{6{hV*GZQg~maap!@01%t#31|<L1
zlCaQ{;^tUNa_E+lUN&Cx-pAA5(c|gmD+~IVZz18GS&+M;1)V%Ij%>D!qvvMhBy-?n
zDXe6y#M3jDvipst8yC%KWP~{tkvWb1Zbq*v&FF}a8I@|8NtniCs4Zm-=}a9%Q9Z^`
z?-Qm}9%xESO-&_C=+T6wqiM#%(GoZPXu5sFglv;c=$gF=1$8$es}sgFG)PkB#$@$r
z6b0=aMc0;$B3qqNbnAf;h3zzwFx8C6OxcLWT^cE2V~(U$+mZCH+eli}U`Sts45@IO
zA^CnYknm^?Xyyt7T5D)Pm9O-vN2xvqdg)8JB>GhIa0CVBj376+5j1ze2wHP%xWqd#
zoH}L<r^U*{>D?7QN=notCr3R=HeQbgUl=A~a}Fan`(aclJB*~y>C(0+T^cY+moCWY
z($40g6dE~{BJGCKE}5b9s9A@`MCnk`Bpn(lt3y}MX;V^+HZ7f^Ey>Ai)AEa2k~2e#
zZaHbu7$q$#zcz$0bqKwhIfN=zhfv}jO^VLal<@L2sYT+6S9vm+))fz?kKPhjxx_m@
z=B)<(mbkbdtdjVy$7s-p?}KP?{UGv|xR0ByBpzXj)A#0Ci32rG;!c&gUiJG9B%Rw5
z=Vi9UZRsKLdJa{mu9p&j;Xa8MPU6w4ka*)({8FPyC)8+sxWpx7uSPx+?@n>6#F>#P
zVe~IhrPo7MDeAQ(UtJ~1Y_FGOoGm4c4M}FV*ICItZ-QjT)kQLAt1g-SecYE`m-eM(
z|GqTctS{;RRw4B!71D}PA>phdaRRB(nTN_`SgK5W{FRB#mFevtC8|2DL~-#-v~{Ku
z#b_we-u6D!zON6NukS;-)Q2==`cTbfMe@i{q@fEH>E8%N`t(_We%33Hdbk2PJ1S6~
zssc$rmZz<I<Vk6*Jk_B*1<J@v9FB5inI%WGSWd!NlB39u-gL34H|ZzzrkpvwX_!uL
zI`gg<Z93eGCWZDQeaBv;J)jpEKa(YwN?A(SC`%6}%94$eES+fUNz-@tq@QbgN|<Cl
zDW-Q%$^Ma{)kQKCu|kHbEM@3}j11Yd_MnRV9%SU#gPJUQkbe)!_4V!~mEWD-`AW*7
zJ9U%kPKK@0w7fu?8vLbcI7rhjS!uGkB}I>mr6_l`6s;6eG+RN6X0&x9&pq8JYC|__
zwCzTH`gNmcr@HX^!Y+LCw-XJsJ8_3aCyu!F58K!N!}H4j@K)7dly~}zzVH6vm)Jj8
zr2hwl&i%$9pWj#{^BceJ`h|YBzfj@%PrMcW6PtB^;=|J&sOjB-kv%%Ff9VgrX!irl
zUw+5^(ckfb{&yUG;XkbK`wyKJ|HFa%zoFcWZ#eYZSM*H(if1jpqD$Ksl-c?PA8ASI
z)Mu3O`HU{TKVx&nCtNuF6KehU5oLCML>2mo6Q6v*oQMxN(BK0$Tz-$yYv1FB0q-&X
z_&Yr7`3{H6zQc-&w>a13Esps41~v2F;CS0Nxbf|4e3<+ims-3=wMVb;ZNw{VANdNq
z-FS&Mn_gnM&Pz0Jd4bPYzrZ^67g*Ey9Iq^Uj!G)eF`&L3yFA;mQm!4h9ejoX^Pk~%
znP+&p>M0t#KE;DlPjUXfCulJH2@dRfjHAjQqxa0mc;eq9q&<)Dq01vI`u7lH_B_PY
znGf+~=L1yQ`vAjcKR|V<2Y9{WK32Nk$9+BS<E830R9eu60lnMsU+q2I<8==Ml<uMT
z@w*tX{4SQO-NmlccQA0x9aPb}gO@Me#=V<vW4Zoqym0##Dn{PIHD<T4<LOPzPrivu
zt#0Csk2i2Z-VKa%yn%QBwBqD_t$24{E5^yS;)0{safa`8Tr%i7W?#65pEq5@r6aFl
z*Zr$_B;hJ1^Hq%fcm+!euHeJzSI|QG3LZFk8J(6~#$E$1WBd6__-NB5{AF|r%^zRH
z?I{;g&h{df{<wgP$}b?!zkp+vE}-+N7K{mK!KeBy==R_|e%XE=_e?yG!5!yt{l0S;
zyYL(~^gD;j=g(r;mb2K;^emo!(Tu6t&A83E8RL62<Kg-<*lpDrTsG_se!6!WcWgh6
zu6Cyp{+vRrIfe6<p2AGcQ~32p6Z*w9VfP75Sl`iziB*lbZAl|04Q|9^H%?;D_>;KG
z<|Kaqbpo?$PN4hp69_sd(BfVL&PZv%*eMP8NU8y+A3csw)*i>ik;ifF^J6ITj-kz*
zW4Ku97#5vBiho0o;(9!ay}#Gv(W-ikSyqqhhSuYz2X&aAQHPJF*CEQ+;i2Xu=n!%Q
z|H2Wx@cl5>Rv*UWeuwe#@WVLdSuF<T)#7K@S`6=Bi({@G!hi9H@cHCJ__F&U?9q4-
z#g>DZHvS;?_<jIWY7U^~$^-b%@Blt|RfD&8)!=*28r0OP!Q~IC@mf|jy3DP{PyMTL
zPwRf%lDr>%r|rje3i~nhLKWVQslw5dtFTn23eC?{;-j!iES^w_q1`HR)5!`<3a-H8
zT!AwG_TjSQ`|!o)eYh3(p~;`U_~+<ee7Z?eAi4fsjwZ*-aqH%Ce1YY-^zR;&ZrFoI
zw(h|wu?JUmmEoGkGE59D!&5e8sM4bhgPM2apQzoKVZR$4<aVR_rBdull$3KRs`o8L
zhnu@FJ!2RCcHM;=HFja2M<v)$Sb~v@OVDR{2`+k5jO!|jF@IGtJ{wbvRzHgHP<;{F
zY%Rjq)<sy>qX>h~7vhS9LJXK*i0S<c@$%gQ9FkXn(Vhj^Yj^<`z0F6L{rRY|J|F*%
z&&Tio^04RWJT!^P!&Odsc&=|ATHMXWlX<!5u{al14RW#lV-B_)%E7ana`3)&4$8{r
z;MB|6xH~Ny)#qhnv3532e3gZNDzosy`Yf!*EUc8y!lss;_&#~3<c!#f(ONsP<7FlW
zS7qYh4VieIGci|2^7wKF2Bv3V)PfAG(96KrAJP#Ir{k{RbR0H09gixdqtD$PXi&5R
zrG0ncmoYo=$DcIp+nk2BNoklcHx1uvr=iE&RD69f6=SxhqL`eDaw@6#t}O+h?MlH<
zD^swqWePfUPr;p+lksn6G6r}hV~<hExTj+~dY#&irit58&2>8}>uyJ_k4b1-pM=2?
zNqE^g2~9PUaPP}Rv^<cA54R>_#*{?#R!zjoPZQ9pG6AOsC7{1u0v4+z;D?9t=(IN;
zPi=_DsT1SzjZ!@3K8VA`<#A}WAr4I@#-X`#96CLW#m#$Tu^})P``N`}aNk(`_c#WV
zD`U`Na}0j7kHOPwF<ACI8Ve3Y<Gzq+yf`fyy9P(&<abe6QXhr=Vxll}P86ExMPb{w
zNX$AFiT){(ICD`XI+;YGduIf0xg3Etxe@r=F9PRa1fG?Pz$tCv__#bAV}rtR(v)yi
z8yJqiUx(qBx-k3`6Nc(;VQ6m<h6%qyvArb}ow7smf^R6!!%+MuABqPbgy81N5S$Yn
zg0{{fXr~>5HP5zTXT&yKJz^X7x)6-b{=rzL6pU2|w&MNSTXEE{Ex0Rp3tCxk!LIhr
z_&j<uejK?OHLq>L)$2FmYxPYS(GY}oUO{Lm8-!*R8_{#dMm+c<5Djtz@$`g141Ki$
z7bkAO<z^c&?Op&r-4=i@!vpZurS(|2Zar=pB&nu#Sg>pzzEE0+&PUeb1CO<s&~q&=
ztXhM!=d8h%ovU&0?$y}ac{Rp&tisWStMI4&Dtz{3C4S0Yi9>8x;_448@Oj1x+-$u9
z&ENW?(hh%A6#h8swI8lZ^}`zy@~PV^UzAGq#f#*NM_w(*GpWn*8!t!OH_Pzwj%Daz
zy$rkFEydfJOYzFYrTF@j59;Rn;5K_7{QKV$%r07jZqt^a<sWZ^J>EEfwl@|?dt>+N
z#Tc_-F^-a7jNj_K@ScwsKI!j;vZp=Kd5tF?(egyAD~s^;mPJ@IauH^?EyR-8g?MTF
zLR5Y2fx(#`C_C8$tA8xOpxq15bIt->-g5z_9G;JNedeRpfce;b&K-R>x}%AKJN9dv
zhidWj(30li<_~W8Am0t=Pj|yVQf^p(&=oV5xMJ!6SFC86D>)12A{)=egHPt5ecBxS
zYc~h4{G5#^_szyD9<%X}%50q6JPT_!&O%G0S@`(zOe{&8iII~f^~VKE_PgNY#V%;6
z?t(R!X5ggI8Tf1L47~7mI@T3T$1}60<Hz39aqLNF%v$e^8ivkz^zk&@kUkBkPo0L7
zrKX|#5hqMo;e>6vPH5NWh?kQcaqVPBH1C{>eQT$pqW@IX)18WLZ4S6M#R1i)IAC!%
z2b@wj1r=6L!FMC3;H$^>*p+FIX4CC4yq7(GYMhK4gC?Wqn92C)?Ib)}G6@gNpM+;s
zC*hAPc4!l0hkGa3;ix~hc<GQWMy<5P`TDl#^lT!|%bkc}b0*?h<%y_w(FO}5ZE&o$
z4Zi$60T0wpz^v61FlXchtb1vVpNp(<;sR@|QMX38X@w8BTVc*rD_k#Yg-cHh4A>@6
zGVX{^I~c7FF&<gXIAs*$k2i!3y9x6b6J~1@RzF01l8tESikPH|sBi;tS2Ez7X@El&
zKyv?CqHK&MYEQDnnLRAA@YHzh89E-Ltj42Orv<hix4`_(78n5*82)P<=G2YD%Yoxi
z-C`VW`7suM)sDsFfU#&jcC4hgo8!Af=J;~GIsP^`$Kl`2(681ETLR3`dYl<v`!NPL
z9vOp{8^>Tj%P}bP+Z2_LnWEViQ(VQSc)D{mnlz5aL!qN_#>COsQ)V>YIBSCSF(!D#
z!2~ZWnBbo)#yBCx7z<_^qpF%QmfRhM_Bo?a#$yz=X^+Bl?M8TMw-LTxZiItJ8R62;
zBk{t)k!Tw@5^uvu+}3G`)~5_nJ<1Se9SpHgA44>1H9*e{1FW29fXZ417~igsntSx|
ztiL`+nd;;GA0u$eu@UGLG6I*`jlgWV5!ilpINGES$GUmLC1=`jeEmWXi}&f_+BJIU
zW}%03{tZLl)5CB_>@d9LJPeK0hGEtNT^wAZi-(u%qR(huH0l_Ny-p0p-w{Jm+Hojq
z_Zy0{+H^3#NC!KY>EQa&I@r~rjfE$*ac;CW4s+JVo&&V8^N|)Rlxd;KDlJ@Qp@oOL
zhTx#{Loh9Q2o7}{f@gJx;I_A#=yXsMO}A*Gp`9j<@1u$CcLrlx;b45ad@$OY4aVbt
zHE_yV4Scs<1B=`=&|g;r9X|}h2}cIu)X+h=eCi;~RUL%S9}mO{dk5ly^#gId)j(|R
zJrF~0s-tazIu7<#$6jM4)lD5WFAl&-83Qofa{%5l8i4py4Qo%U;l%A~_+p+K<_uTE
zC0|w1_Jk^0#Hk|BQN_7KRWb5oe>``zKWawz$LN{;QAWEzX1wo*Sl<u-i|mJuF8#1j
zs~@Jl?~B>>eeqCKUwk&RFY4;_#f=|T@X0Y1oFA)#@8+mr;xHAo`KpZajmr2cQ5kQ$
zE8|@QW&F^ggsNwiaQY4<%=c2luF*=kuB#9JzT5|Q<o3Y{etl31`ryr8eX#zHBG&9y
z#Nz>q*k-GUa{U$2sa*k!4=A8qm;y%5P{6)A3Rv@59v3&t<A`K=>|7|1uT13eS(hAs
zzAA^xg>q=KS`MSE<?x}h98P-L8=Go+<Fv5e_`#(&=Ii!G&;NSixaMA{nb8Z?mi9uO
z@x4&=?uGtsvRJWC7CX1dqSrK8yrU(H9$$K5$EluJw4*03@ac&o$M-}zxt{pvz6}1W
zltGmc864*#gZ{&0@X(JQsMyj219N)dw-r4w#JUF#>DL1<zvzxhb=`4Me0QAa(H$*J
zyCe1JjxKkkF=($e)@+r=-_xaW)-Y*2*&&5^Q3}uJOQFwNDeON<3U3UQ!jcc&Fruj&
z2Bdexz~$XAj=N!{N;f=pu?wcI?}G1xyP&bT6Dn4ALj8bFc-8n1#`^w)UH$%ndBb0L
z?(-LFmH$H7(LYe{{RiIn`2$w<zu~~*-!Q4qZ}?sJ3$85w1*iJ_g4^{!L2k)U@KF8<
zt;agRXK4ov>em4uPyB$VzCYkUwI49z^mhna^&Q@6e1|RP|ASEh|G__<|KR<VZ}4aH
zH!v{x1{-dFg=gVkVTI{e81VQDJW2Qh=iv)nef=4}XM6^*`wV&CK7m&8Cup4h3AS~8
zgauU}!EM1uSg-IADvy1D9)2HS)1VK~=fZnv40;dA2Ja#G-aCkkeFuju-@)HEZ^0}3
zExdGi3o(D*fPKXq&|B~ZwEMgP%agBR)#}%9TIV&G-*^S5BVNI(aj#(f>zAOF{StH?
zUxIDt3ka)z0S~=iz#P>V@c!I$$lvrFR*ZTMZcp05E3F-3Cbh%GU(dj>@)_)2^bD-}
zKZF0yJ%zKIpTZ%Nr*N|U3B1gF0tSvxAhz2Rkg0tPdCMQej3JLf=f)#YjClmA{0J<+
zK7^pMhj45DLvZT*5T2fU04ZA^z<jd@F!9ZOm{f2dyl3BseEIwEt*H&XH@3lN<2J~A
zaS!I@-h=To?}4e@J+N!K3jrJNLZiuD82;)Gl;z)niF5A2Z^b)ssrfe4ZM_XA$KHmg
zA8x^r-M1jX;}*P9y9Mj7-UN-9oAA*3Ce;7B0o4a?K$G7Mct7k0jCs@wshO>yFryU;
z<yv9dnd_hyd>wvST!$ZDu7P63HDI4>5UqU;-nCtY<>^;JYWh_;D0dZto3Fs)kSpMc
zS0L!eW!P798GiU*hI#sz;cojSSXFQdwB0YkTeVAYx%DEnBwd6@4i`aD_9DzaeE|+{
zy8xr<0-XNY0;_6Uz<g~BsF<{X?ECYeR(>9Y&v^*eJr8%DoP#O(=ir9>IoL4p9GKoY
z3o_|v;fu>z_@R6j`dw`X`^08QpV|z6dN)JR`7@vteFhrr&OmsNGvImpG|UY<4NE4R
zhWKu$q2=T$(Asti62&R#*VzQs4Nb6QYZHv&CQ$p=2z?tGL2qj#Oy@>O{dW@HH=Kk8
z!6)IRI0;c*Cx9DIfI{dA_&VVPe3Cu^-On_DabyFmp40#>vJGI_avU1tj)RBeap>3Q
zI6S_33{IsSgX1%g!6nsW@a@h~FwH&+QS*<&mmx=C-P3xI-&GGsed=MGK|Q#?uLGz3
zbufEv9jqT)2jxGHz<<Y%z?^MI;EK%=nBVgVbh~gEjwT+4xEY6Gwd!H;zgG*vd9|?H
zvlgD~)x!9<hoHFX5a_Hs1cxmSf#=_YFtq6){ER#Z&m9iJ3#Ehb_vQgG$UXpm3lG4l
zVF$qEZ4K1yuYoB6HShy!psrgDY(HBKTN0`v*rgiM)vKZD(SDFF-4CvQ`{A_dewg^P
z3hth$g0RRcnBZ6is{N{<^Ij$VDXav=WtCuVQVFYnR6t`x1?WXqK)z!I81=7!tM~Uo
zRLMSY@!JPu%=W?XKYPLC^j>g`-wRu3?uFADdqMMgImB0#gJM8AlyEsr>nXXux(A+Q
z?tycQ_P{BFJ#hVNndGx6gOQPC5HPI_ZVV^`yQjP1;@;h`Wc_aFD|W*T+1;?`dMPC5
zltRLiQphnWg%iJa!GEWBfk@f~Ij*}vL3bA<e<%U{x)Qh%RstzbCE%rA0+ZW|!K$hl
z9D<5rnQbv-DHX%Rwjwa!T?7Sdia?W#pt4sHOutzOJqrurs$U`OvnYh@?uC$hwE(Jf
z3gFJt0#Gq80FQ13&~PaqOtSLf;F5fB7?ThGb>>0!#XJb!nFkA(<blhWJaFyGh1HjG
zAv-G<?)c=waPwS<mdb@cS8^aUHwOm#=D=x-9M~q415P)xVN_8zXsyZyUCste`E2mK
zmjyXxS@0?#3+!yOptf%ojC;BhTK4aRmBBkf&uJ%o(AWv*-e$tV`b?;f$%K=0GvUeb
zOz8U~1Libmz`h+BpyHhYv1S?2w|fRuwx)wyaXP52O@|i~(xF);9S%R;0d+My;8N%g
z_%dS$j2OBDR(?%`v!~L)BrOff7pH-_c^X{nkp^3Dr2_6w1-Zafcsn^2?yIN5gEuMg
z@n{ODB&2}df)t1~PJu^V$zXdu8IBew!-Vz8aL+CoLI)%Ryx9)jk8OvC3ESbE$96b1
zdOKW}-VU#CCPDwQB$ytQ1i4d_;Fo3+_<T-;_EU+lIz18kEK7vrkO-R;6T$vT0t`Qx
z0R5v9ps!m3Xd5Mf=!ysb)_B-k8V^4=#={)PcsQdK4>sT8;Of~p@XwBefh*(S_JlYn
zQH_IbZ(_l(Ar_XV#KPJov5;sP3r7@V;mgw)fWtA678e75JYry-Sq%J^je(R0(O^*%
z4Id(-;lR9Th%$)=-yYGh;9e9gtcrrw;Zcz68U>A`qM%DU3Y_jn!rsbAPz#TQ6xT@5
zFph*n-6LWCy$I;HKLYMWL_pQN2uK|r0g*i;Ao@W#>^u+-M`FU^g-19H9UBfS<-_6p
z(=aft3xo2cFc`fg44N?vmiG+<jW?n2;AALNWQ0Q8icko&4TZHDp|JUD2&A=yKz(5d
zd<+Z$Q|Ax}8y*5@{%nK7z1twmZ5vee+6GUK1cUL?V8~Jn2JN$3;dH=O2-n*R3vX?K
zxshAIZ|oMxd9fK@rEdo3Nt@xuk4><yY!jHcZUWifo8V7<5Xk!l!MMReu=VmrcoMu3
zJVtMXpHBm!GA$5-?E=BKV*{)y-vB$@H$bc61{m2G0EKG<V6<KU+`qFPisIHo7_W!m
z&+8z)WF4HFvkv;pt%EHMYoTlPTF4!?7G~XD10xdFK!58sF!;aKV6|s8Y?;3rZYr;a
zNzJR^M$jtQWV{NneI*Roxe^qeR)VJVN|=0P1;qQWfHyiT!1Injd`s|$0vmr=^3xCO
zs{Fvp+Ye?A@`KQ8zR(io3x@0qrQenV>|GA87cGbC0m~uf$}&iZTn2@-3@(3L3jOyj
zh4o%b;lseC5OUoIjADJ@i?t72{ka6rRxg3u%a%Zw_7a$I&l_@6yg}K)8}g*RVdAmH
zAiaJu+%sAXEib&FHQx*Vo9hL}DqawJ!4uwxd%|k=1ci=8&{Vw$l6)7zx?zi8&7*}7
zy>lVdx-5i03JYQ0IS;rV>H&+$17tfEz}cDwkmtVu5=Jb5v}g0-K;C?K<2oNK`p<{F
ztL~r??+!JS+`&WI9du93gRY=?@NKMQ{o)2gtK49LuN&+i?gr}Zu8>vW3a0a2;fcB{
zl--&Ok*RZGlk;4NQkV<nEpwnfY7Us&&VgL1IiPWJHq>mH4IVHXhW?xd|7vH!r**TS
z!*mv?eVz%9RWl*We<u7joCzD=xIoW6E>P*?0={}KAfC?v{gN4A;57rRb!NbdC)1&(
zU^>VzoDQ3ZOb4k)&XAwy3^Nuu!yrv(`1N2Ke9WB&zvfSqJe~$K9y&>$cLFI7CkPti
z1hS7EVPAnGELr3TV|5&1(6gzaS~3;%yr;rcy{QoW(gE(4Ie^u22RLTv0FLjcz_-dN
zuz%GQ2sNDo%f8uzcdb1H1lmKcr9IsJGZ_p{Oor_tlR<9cWXP783|8kS!LPVUaNcPW
zR47k^(i?VgFvAXRyV-%Frk&(>rY#&Tv4zn~C99z=xP6=miU%gbt$>Mez;Ys#{Ih}b
zCL1^%X#-!U*udC6HjvOd0e)sofQ{}GKtX!~)IPU{wdK|@aiulrn^}X-Pb)BPuma~W
zD~OnE1y>ZTU}UR++)M#F3j`b;Dq!hr2K_3Af9n`tS~5KABKX=&pq4=3<U+7houK0p
z!tzptPksn7V-Uvv0{DIsBzqp9+DWqA`vcV7w}gAemZ0cs3A0Ttq59`|7}7W%3Zln@
zne%wKuQnbs9$A3*ZVRwmX#tkwEWo;R9LzgA4x*FBN$%TmFi>k81iu;!KlYD>(2Zk3
zYr<H#+IuXdwwlAT9CMiNZ4OgMnS<L8GYC3q1{E=8l3rs5Q#8!r;PWvsx@ruZ3>*WC
zCX9jp@?)UwrYRiAH-)@qrjR|x6w3dOh6`s$Luc}6uyr2|xq73a=VucLJ8A;TktR^>
zYyw_`Okns6WB9w@7@lu3hDUbB@K)IvWFL%zab=?*aP26#z@xyp_bAwP(+G?TjiA}j
z2v%Dd!Km&=lD<3=?q`pLOFkpv>X?zx-f0NEFB*b%rXj>EHiTy;hT!zq09wu)z}$2L
z_~B^)yNwNC=^uT7^ZGC(T_5^+>BB%1eHi_B1h}@0fRv08aDVX#7-u>HiaUpc)}`T4
znKc|7mkx)&=EI>udN^#qrUz^C^}yR-50-%*Z0)57#kYsS-Ce^#Yuzx|Fku)xQW^$x
z9_hm43SHQ^Sr>*n=)wbaT_}4s6v7S<g_V&*!FSeB*q}QU(!T0IW0Ma2OV)v@i*%se
zL<a_RX+!!I?f)6N?y#QTD6Ty;wRh1{X-VgtOJ$^qh>FspP^eT$87=Lp(je_24K$@f
zXiySa6$!s&MYf3F_m9u>Ip;q2dGCGi``-6G=e_rwmr*^V%v|5A%mkV!GX{dn%$%o6
ztTL6DJBO8+{xwR>sJs&M`@JHg)vn0+Br7s4u8NG5t|AljSApRiP+(3JC@}f~3e2<R
z3d|`{1!mU^d1iIJJYx_o&n$9~XGmS1+4Mt>Io2b`T*{SWICjf1uB_dtx&-AI(=l1r
zI4R4xM#?grn`D_*HCg7^4;f}tuMC5yWEkzeGK{X746|HRhVgtU&7?O<Gk0U986{_F
z=7^3o^Y*V4vtv+-nJ$rH5)Vi*M%GfydpRkleoB&wzb47}WlA#Jc1kkdj3jeVP?E`c
zF2QuyOE6rq5{$jG1XH_6f{|g9U``B)GqRQ9%!M#<#?elk;a?!m^nVv)&fF4Xj-C-?
z_5_MCJ{Dq3u&fx9GBuBB>YT@XI603o+&zzpF`LIsip^s-Pl_^++C&+zbW!G?w<vR#
z5oJ7uMH!7(BFyg=5$0L42s5xvgt-GE%!q&p^L<>HQEC=u9Fv5Z)1Jc2Cu3p8UO<@X
z92a7iHw!U+NkYtyZ9<G73Nf96Ld@}(f{f!OL1sy+AT!@vkWpAF$f$`5GD}|zFz)RF
zOnQa@bJs_JQCKd(gh&c7&)?5w9Iwx1hI8jKy94Gj{FZZ>CWX07z*l|-Zu2t&#r(`v
z2tV`8j-MG(=VvBn`Ix^$e2i)}ALA6o$7DP6G5;CxG0XY*n9Aq8j6w@9Q<%!j8q;{0
zep6oNpd>G&JH^9%xyi%a%;#ZB_wz7mYk8P>H6A8)mYXSlz|C~la5Eo|b2AIwxS0TB
zZsvv%H>38Ni^;gc#R%naF((7K7;S4VrcZ^737z3&mfYuLX3udl_o6wOdRI=S$e5Ek
zEzHT3PI53U*EpCbc^nK+FbA_@Ee8{)&cTfQV`r8=VP`5YvNI}4>`a9>J40sd%wuVG
zCh9XAv$T(m`B%oq3>;%)s<*H)S&P}21VJ_?>Gd2Y@7f%u;nW;vWd9sSX#E^!t=1eS
zmvavDqWvFL1^%N1jeit1`j;}(|5CffU;6iZmbP4&rQ17Z$w7XWehmJh3$cGF%H$92
z{qmdq&;F)(_uq6`;x}>i&Ct%s85+kK3jFws<jQ~1=+<A<DE5oWZvCX1h@aGlKZ)bh
z586=igPPrbkdfpM>h1qd`;UJoH2F?q-@Xx7%{LPA{zkeA-)P5!uhf|QmE<hGQqJEm
zq|^L`9{GQvT+J^OIR2To<$Wffjh`u2;4@vmIZfQhrfC;W)A;l!3OM(PB)vb;eZ@~y
z{`e!MonT?jN2=idNJCerNIGna0+&qD%a0$(x9S7&cz>YFN+0O>@O$#kdQUFv-_y>y
z?<t|{9bJ!jNApbH(ZQc@>2v*Cit>L;TH0^v^~4)$Eq+7AZf~ei_6;>WoTO(bCP~q5
zl7i;4<nGtx9{rlWEq_f#vlFzfb%N;N1gRNKkjC_XWLo<l?cV(#)oA`loD;8TU&$-_
z;_-?S6kn0?=u7&U`;rEnUb3F=OKQ9Sg6^fipjo>YWFqu}PV|k_pM-G=vmPg5-f?Q_
zdQJz9KPPMR=cLc^oOC+J$RuKnwl5!}{D05reaADhJNk^eO`g%F*{Afa?J1o*{FL@D
zdrF)BjFM&BD6Km@O1{fRDeun+J!=~wI5I+|CL^TwcbHl`hRN&LFwI{+Okd{=)9|$?
zG!*%SUaWdToLo<c>3U4jv5)D6)nnSk|CokvKcb-IN2F}`h{i=8QPaJLbSCp5<vBj2
zD(Q#RKm33=^B<6%`va;`c|c09hN!fBh)jHj=#BOeot?T*hcDcxZNc|xE8HianR^u9
zevjJ2?-8f@J#yo@N4IYcl5NT$jcpjD7>Pkz{^TwR=HI0c9(U=v>Rp<c9H4*I1Ejrg
zfP9w>P}{FNq}*|bvLo-1isc>Zn0tr(?)H;@RzGn$_tOW(etP|~kG@v+k(gf}tzO(m
z2|sVsc>8U#jk-<UR=3Gf=r;Yhe~YSeZ&85zEwWO(MTYNsN$)~0nI7yVcavT^!O=^P
zdwWPft%p_L9+Fh(q0*P#WM0)x-vhd-6}l<yZx@B!?4rP=E;_ogi%!dSQQ!DY5;}X6
zJOgf07u+P1e>bSB>jrtG+#mtR8+1$I2Ic*Cox*Cali&X96lijt;<&C;U4JJ{W_6OG
zTPLNcchc{vYZTgijrhZ_(K)MY<R*HJ<_}+`AH`Sc+3u_K(C8|S&0e8jT~|mg?Fwz%
za)r*%ze2+AJLp(r2hBOwK_{#_Xvw?|dNa~awPo!T?cYwjshzfSw9}scHj2q^qw}6^
z^iI2t;QM9Dyn30~6E9P^!(|dyzD#v*Tgkn#m6XF<>9b8M4N0_8_w!41>)a)JcHk1R
zue?Mcc!>@_ZlQZ6Erk9pRLiu`67Cl28*HYa{ASYjX{Ikm&2)QCGu8JsQFTreHF`DC
z9sMTy@u!jWdmHIcRwLc>Y^0^Sjnp{PKxW+y^dzH!B0U;t>7oYWoT;a$UG>zJQBPMq
z>ZxZ@J&n&?B)*=Dv?A*w#c#Vv<9Zj#YW4zMxpjdoaxT!Q_XUbve1VYd0?pnzPxnrr
zrzYR?RE6iMhWk8S9jc=j#dRdUuZ|qd>Zn|>j<`o_X@6BMeGRFlNXuGMlB}h^S2Yw@
zUqc%sYiQAi8j@75A>ohJB-K$(y2;hFX=^pbYgbeM%sEoNb&eu)&(W7%=O_rz5j*cW
zDtuH$Yb&aV?_d=TSyWN2WEEvkoTZeevy>Tgmd-k!rGE9ZH0MVpt>~_#^z2Idw6l_2
zv67zfR+86~3YtAzL1m#8<YHSv%JLQT<$XClXfLO(lybW1UQYM)%V~<OoTTrU(T378
z%GqB=A1qk1bQxWLQ%b8Ym(snYQu22zC0YGay3bZhr|y@~zOoW>I9NiK)-1@e<PXIZ
zc%_)~(~Ifh_F_^nX6d}e^kBG%ENY7A=CLBOw=bd(szsFbqmXQG6_Rj%A&vVN(zTU^
zR3}kL=OzoN;c@}pPAQ;Io&~gENdax=Euae{XGpN_3>}C(LmwQ@P~gHd#5tQ!rFZjL
z_nc1xA^9|9n@?3r`IP+SG#%|eO@~jNra1r8RJ7_e^+=tjKkrVF$<<SolzECKcb%dQ
zCa0)J^c1a`$fKvNc@&nKM;cyv^c?e8?U_f1UgXl2=3KH!%B2;axnyme%L*~erSRuD
zRM(h8?-Fvz$RmdmmgLX}{v2|Bo=wAz+2oa&O}{;|slYg!)(d2l;ER*=sQDz-CZD7e
z+fPyyouqK#la%mZ78PC2qMPYi^lfJr8JcF%Veu@w_coK3T+5`g>`YSe%cLsvOj<6N
zNiU`|D7`0x))Zur_<;<XT$4e)3o@u_<^-J|JV8yBC#dJx33}~#g68R-ARDd|lrox5
z&+5}@X<|B+Zc8T_CY|y`(@FD98g*Vxqg^>^BpZ-MPb|}@R4I+Zex#DyKq{-xrIOXL
zRI+nQrEPkt6v>lHwPPtX(VRkBX(<%CD}^2|Pa#v86uLN_Oa`}-sjWDfHijkB_l?O^
zrjtw_T*;*IEQw~ClIU@25_RrMqLvj&)GC`qJzo-Oyf2Zs%M%HXB~sAlM7nH{NWyay
z$?sJHJ!wy%_1Ot@FCc+DY!c|#f&@A<8&7tR;%V-Mc)FhuPvu_mblfza{H5c`>vJ4=
z_r=k^@;HhQkE3emI2tyJBXQw4+VUors;<Wp_nBDQ8xl)n_Oax;D3&I8Vkz`R49T>|
z(2eXE3Jr{*rE6n|M>B?=vB%KWr^l(b<v3Mj9H(=B$Enr&I1Q;Dr(ge~Y2ipTc{N2-
zReCi2-V;quR?*b4Ae!|5MN!Rg6fJ3rqMr09+Oao^gsr2fQ#Fdh=R}e9Xe24LMADy(
zNSg4Eq+#1gdZH0YFF7LV=U4<uwMEd1oCrD)96?R%BWTW|2y)<ypvM2gNvSiOGS7sQ
zSXemaJB5>>Q8*2Xgwwa-W8|87j7HWTBR`&FBzf&9-48uVrA9|7Vd@ASuRKCo+m2AH
z{1N*4@Gz}PKTPGehe?t9FrB*^Mr*>th}}4h`agwI^|??g+!0EZDxq|9^bmc|K19nl
z9-@;%hluM|2*n)_A>|bz)c5BgCAAzRkKlu3t$&a#-X9>R$^&%R>i{(>A0UpW`^h_Z
zKaDuBc;0^E7zn1u#9#`u3ML1xU|Q7~M5~Vlkuz%--l$)JbhRmvM1uqAfI%QlP3@!5
z>U|{ZyN~)c_EF}40pwp2K(3wv<gOGz!B71u|CB#H+2T(NrTr=Cp&xN%`BCylKhmD(
zN27Q5Qeo;|3R$<8whQhh&%Qkrn7D^d+U%h_e0xZycQ+l3+f9>}yJ-*4ZsO?nrJ5LD
z^0i<&{@lK#(B(s7F+L=3;X}ynLp!^6QDw|7`eU(+w)5<wr`<crH*P2KS?{FFd^;)p
z)(&z?+(9eW>>yLY9klk2H~FV}Q^|U7dMoNptL}SIU8WZ;a`d8hDKGMPvYjMOZKtPO
zw^Os?b}D(kjf#r5(M7Lq^gw+Z@xSq;4d*<mYOg0r>U&b=XAe?s^q{VT9u&%W(DGS#
zlD_Ir>{0IYceOhS@VS#tpBuTRx>2FM8-0^-qpeR|>A`7Na`$kh-wRyn?CY)Mb8ag!
z{#!|5@m8Am!-b?TyO91d7uvGQg)(_u==p7DGEH-)noZ86E91=S|69nbcnitw+(Kj8
zTd4WdW-4slOnIT3soZQcUFY0P)4filpXx*ro1EySj1xJIInr>cBl-I}l7zk^^?h@o
z%*zh6H^PCOEFH*R(1G0UZ=$f=O?1|M6HTgZB7DD*axZSAxra7Vve`yb=H5s*`t0dY
zhCP`&+mpD8J^g;Yfj-x6pqc#}NX%pdE#urk2X3#Yt0&fzob!5$QCUyyZ|o@Lyd7zW
z*wJG%J37f@M_vQ#XjS$)GIU=@1{&*V#mBYe*}Rt0kFBLa%e6FLWGzKKUPE6C*U)~S
zHN<VWhAL)kY4dekl1;Lu_nU0#j)E;+ov@+KIvW}av7zrPY)Esi4fzgP)8%|?lHX}f
z$@<nLG-E{t*R5!IvK4)Dw4(FMRuul$k~|tLS$4N2t+TQu*Lju{Hflj<%Pr`2fCU*X
zwV-q^3z{8RO^5PU6Q}oTD$rX^)-&eBanqdoQq8H%*_@Kq%qjZQDoVV(ii%=ZQTK*b
z^hbUbEuUOT8TBja`_YxO%Vs6LkyuHG##fMZ%?j!cSwY9mSCGBP3ep{2PBN9tNi29d
z$uD0{Mgq&p<*^y1mzvST05j4uF{5NYGy3<yl){TmNyOijYL}Xl3$H0jJusmcMJCkd
zXF{b*P3RP_2^Bq9Moq=b=!yR_nrpI**06rzKlNxS{VH8bI|7%|xY<(LEx438Mi{E9
zWXSyhLkr9q`X<WI!!e?pHAL6Lhz6{Q-bfM6n?SN|KuU>3da)kKTnVY+1CU`G(3J!r
z=Pf`Snn11JjVb)5F>T5;CgbhKq;6<Ts%*xje|HJl6fB`Yza>;@vV`6XEFsfTBRX@=
zhy=onD9*-+=E)jS)tkk%{?cONj9*M$n-|kb&BYY-(~#VH49O{n#k&kywwEDg@fy<2
z#|Ff4)_~R>GN1};0}_%opvbrS#CchtG86U5V5>fj>agTlJ#xOIM~e#dNGL#${w&v{
zpQ3ui_EMLm8+2KLJi6rPs7o~(y7cSkBHDOs5w)ILM7nzy(RtHFWG1qRM#gpMc)bqm
zTpgO@q(g(6I#f5KO{e;_S!2F7<ppR{%}Q<R7uTkl2`w_Zq(xzgT6EV{iwyO(sEA#Q
z6do+3@`{DDEOa4_tyxGZN(;&6vnGk%)TB4rn$+j3No^*YbV)>$uD{fvCrujkCtibe
zTs6o?UxVs7G>Gq!I_;@ar_m$ow0VO%jjO7&d|ow@=~JVg0yT;bQlmANYNR5kM(iI|
z=~JgFy*sH&pM6z{m64d##Z+nI>jji_c>xWkE}#Wo3n&5?u-an*Z6BXc6OHrfK*D^Q
z=RTiW7tbeu-ua~eRE1_QsL-Pr6>4`;p*npPs^L<hmSJTYs8goT(aNOatV~<=l&OSM
znSMM`BBwefx*n}WOP!VIik=eLaVgQeVMWR~uSk|Lio~;3k?tEP(m5VQN`0z8$LbX*
zEM9@4+!g5L5(R3Ut3c1k<w>eVo}5$U>8zJLaV(W5A5nQ4c`Zj<I^^hOrW}RrmLr*!
za?~X)M@K)((#kGbnwKw2AA)3Q$VQgBRb=VrPZ=5*kfB%QGQ@RMh728K$X7>(YB^+R
zc37G=UzDbfcxlr2l%^V#rX?cM)cabBc3qJov1}>o^^>9m3n_9^lp?+Fk~Hs*B(arC
z((faZG{;erM0F);5w|35dL}_JO%ik?MS=u(N|2|S1YMPqAgxd0RL~<%%0=Q-eMp>E
z*^ASETH-7pRGe%^#YnJGj7E~hs9}c~<(P?4th5+KOwXg3Tl45-$vnDncpg1+m`A*N
z^T?cc9wm;8vg~0|VlqXkXs;-VS&CAcvM5Q<h|szFB4k}7LenuKRO%r@+ZYkj78jwv
zAB1VNTbOPZ3Dc!8VQO{|rmK3wG{h%NpI-`*T!#>?%MqfaKp}dtMu;>ugeZnhh^9sa
z$+Jn2o}~%Wj@^RvbG0C4DGSoF-vTuCK!B>w3(&qq0b033fD~5<5U0EVef>U{J`T>M
zuhnyjGj1*^Zl6mlS=kHs$;_pyul)33fS;Ii{B$CQpT2tXlZOdEJ(T7rr>}hUVt|hh
zp5r6QSU$S4jgNv%`N%+)kA8jQrQ3tNR8hlA$??2&#G986uHdCG1zt+{#X}_zc&O_F
z4}D4IAuV4X+HJu@P4jtZ?muqw9pR>X&D><3$xT-SxXEHIH$7a)O#$58B>s|%I<Ih1
z=xHumdWeg-9l2=4kc(P{xv1nlCuQ|=QhGTjWk+#Rg$E~HGvTCHvYaIPlY^`ta8TSu
z4!W1hLF#)sD9VO|-fD1=3l|4Hc)?CvuCmiaK06%=V<*Ke?9^k-&hj7Fi9WN@oV#pv
zw}y?X64@x(hmArl*(gAb1r9dW{4j@-uFRpz{5f<dY!1zCnL|r(4jq)7L(y;k;iB??
z_-5NbY*zY*Iir6uDfcg)aQuts#Qx&LyR#^sGK=1}v)IEsi>6(Fuq)~hdaU?^g8zPF
zU)ygy6Z#t?@i&HipTUTR89W_0gT4AQ$ougZI@kQdj@`e|Nb482P5wm3il4}_<0p2i
z{=|%zKkz{D58Unf0|S+RVB*+!Y&!EDzqo$Kl?vanWb_+Koc@NnF5gg3?i)TD{)*{&
zU(wb1D>AZQapCY6)XMvUCeB~bQ}zpH4}Zq7yw8X(pRq*lGb)WvW6kMlT;n>8vkKFA
z<=H39DENdS9-q)(<r5x!@e$KYK4P2KNBpVw5iMR%VOixAO88D;w)PZiefWTPYCm99
zzz4K3{DAYnzQ?&u?~yCyJ&G{zQRmM)+|uz5v%}xv#L9PQ!SxQCyWb)uyv4pXZ!tjl
zEvnsngYPomV5id?tdf0$B~K@@x^NP^wol@;`XnxT`x--QUgM*H*SOl~HQx9!fg3MR
z;FqHlSh{ioy}2h4ZvBTcDgU8>{eLJd`5!JAeub82Ug6<wukf1sE0lWo5|7lq#IHdw
zF$`bgyxAAndhG=U#=Jnr_63TGyud$0<M=Ii9RIqFqm=46u6Xkt!)l-7&7kL~#PWdS
z|BfNYjWJA)A43hhF&q>h!^Gid=ur3!^>#c%8J%Y+_W3C)v^+&P`V>9QpW-S0r}*F9
zQ8ddQ#Y)#vR8bwps<$J!>cR-VKRAM=rX#qAYXr^vhEY3X80R|=<3g2TG@E>a-gQqf
z@4yorGkJoGxt?Hl-(#Gc`504N9;5Pt$JqJy5e8j+ghru{kaOiDe8u+&?+-r2!Q6*9
z=J^o+EPRNXpC91%)(2P{`2cxsAK*T*2l!@W2=|o^A@ANHtX(pM+yCB2jqdw6lX@RV
zH{Zv86&Bv!!>9H4@Xz6UsAX{vcM9Lbi;o9Upm-4X?;gYtMuQmq_b&4H+{L=|ySUxu
zE~=~D#UE1x_^4$7yCMhh#+m`VD>;Dgp5H-<b9Zpv{yUgub_d__-NE%k{doOMKd$!a
z#|Ml1S!MO1N^c)N&FI5Qw?2$m*oQt}Z=?H_+qga9HXd-ejoHe#vHRUE<Z8Z!_K~-+
zX6-GMl(~f|uX<7Zd@ojp^`ebsFaDm_i>=RkFt(}(w;kxgH7k42T&M?ahP%<Nyc@#<
zyIC2?yK#!Y8<|I4m{rn+fBm~~|FSNe;qAiY2RBi-_$EH}yNP*AZ=x6PO<eZi2F@?O
zfs+0=P<q)7)a1K?77wpuV99kn7jPXvn_NfBx!1AkaVN@_cVbRZC#tUK#15fO^d7y2
zvQ^jc>A`DQv-%n)ie1Bl<5w}D?kXNUaupM8uVRhNRUCbN1!bD9;P&V%c-j66Dyv+<
zjE@~C*3p4QNgcS%r2}6r?7+OA?daOwj*CvV<6Q4{{Jyvyr`X%^>tGx56t$s7KpSo{
zYr|BbHhlE-GV0V^#+1XCan|-ShRR(=&UdYNs<jo(5?b-omR77?*oudKUBV5$m(V!(
z5^DNfLJhivi}^0$nkOw7c(w)04z=Ka)-7l#+k#1NoAFC)Gww`m#z~iE+^^G&!m~}-
z)Zc`@XPQvkzX^YuHQ_yxCcHG>h&2~kh-$>vO^rCD)`&CT8*oui1Mbajz)QXjIB!`4
z9u#cAH_z&E*ZF$<5>bzd8|zU|tsb9$zlixg7jb9aMKsxS5tU6ZqOizCocrPeiZxt7
zjhG8)wfO?>*SdhUf6n9AJLl1&=scDNokwAd^B5z29{JwYVQzaJE=jAyr`zf<eMuc|
z;H^W&ky`vwQ;VbFwb;M07H_H7;{9JW_@=K0=N8r=1=V1XMGan(Vd)>L(dTM4-p{B;
z>z&njo2kYvLe=<X{2b;so<rOCbI9j<4)5!q!%EI`82`8m4^&s7e|QxJZ>qxMnpIf*
z=Pcg3dlvteo<-9`XE9;zSsYh6i{{@evHn&i>K0UDLr^7JSXJUH`ASTluE3RD707X_
z0tfsnu)@3o6J#pz&{R1FT`$K&IpvtRw;U^1mgAsQIdXj{!_}Q-n3i3JulJOp^~y4A
zk}5;J52aY&S&FN2O7Yp=QjA_zipDaf_+_dDFW)G^)Vvb(3n;<O7A3e&z69+)7o$s0
zF$SI~#;o9CylzvBf0T=H`Hvz@?JvT&B}KSCv<R=QFG3TIBD^tMh>k;r_@$~4Pel}>
z-R43R(ksNrT!mOOT7b#*1sIZ0fPS6@=#K>$CR~6gCeC0(`xzY1JcH7E&Y<(EGgu*e
z2LDax<F?*>yjz%$)*<=WZ<miQ8u|G3?`h0=cp5EhPa|8*X}sxr8Z(!iMnA#RxbeSJ
zxU&5eF3UQFEB2nk^{Y>zufi!z{g#Iv{dxGaEDueN=3$a!9!}`yp$$(SUK-2A#Vxtm
zoR*6gKDjuyA{V1%bJ5^S4!*segEgf&7<MEFH#+8^v0e@?;LSnV@obcD%|^|PY&6@G
zjUKDBF;Ouaul+cQY=bA!w(2AnMxDfeTTkLH<C8cld=j1CWZ{d>EDS!Kg`x+tu*EJ5
zeHLb+Dn}N+9nHknrcBIC%ft}hOx$6fiEfIS=<zcH_uk9E=;{nCi^;&d9vR5Rioi6N
z$iU=}C-8ai2{b7^fu%=Jpv0CFn6{Y3LM(kU9ZjyM<MaG<Ob$s$^Ns1qrJIg-dDF4%
zWg13zq~V_2G;|A2Lub1*^w3Jf0IoDlc%F(ims4^0WGadVrlS4YRLs{*#c7UIv>Qvo
z=GGL{Jeh(e`&hh|rE8|39cKzok0oRN<z%$aPDat7WE@_XjMZAn7{{HAdtW5s){Z1}
z$V)<}14+2uJ_$o~lQ5e<39n2f;&f*s>J%j6zOY2R;*^L|Mu`|Al87(gC!kYr0uGfW
zpi5)|zH>{!<4Y4zQ<`<`Ydj_l#-nv@JkCpu$5%V!@rrpomZ-#I`rkN=8)2a(4o_so
zVOd}tUbBnC37t5U;E%(#uVXRgMl3!qibd^Xu^6{C7N;l{U8Q32!PgjcycdJd>tZlC
zIR-^{$6&Kn4DL{mK}F6O92-B5XRjQ`!}-T?bJ%e-*>W7U;W*BhVBt$NY7a)ENnJE<
zPL9UIyQA@}bu^A?M57{iH12p6h0UE&C|VSS!N;QTxoZ?|S{8+avQg;tD-tIjMdHz>
zNL0#-#Gar?47HEMB?giBOE?m{rXuiEe*_+4B^>lfjKKB25ol!{f!3N4xRECUy(hvk
z{AM_omWJbCR5)^P4@dKr;h3lrj>B`p(d+6lR6BMIf0!J@;Xg<5&gG*x6nYfj(NPrp
zbp+S69Kn+ZkKnZN5p?~27>64V<F5UOk!Q(aZ2lUCAq`<@6C8$%jKWamYbdHWuo7<s
zhvGJ)P|W>$2*(=^A+!GwmM%Gjir+)<Y*PrXJ{W?ZAq4Aw9>gP;4&v6(gJ`>yg+B+-
zrTqXNK6(Ia%?{wFIR|i6=YA}Y+K;lU_v0Dv{b<+|jE~}jG08R<?FEBTb07$X(u0s|
zV-N~R1mS{5foPi>h*2(qcv~S57d+pGNyYn+%X=TDXzW9cw*h#!Isg;=18|dJ0P248
zN9h)SoEPSg@}~Z1%;t|CH~cU!)(>CV_@SwgA65?T#rau#v3m1fw2<G6AIJ7!Wyv1g
zw{s8LXz#(rA9tg6{cc=*a5t+SyD{jWFIHXm#pzgIv|8hfwIaT#`oIUPa(&Ru%?Dr2
z_rcuPyU?|I7aHu_h2qA$kmvVK<h!~P<&N*fWi~r;ukcQ+8QOt=a(AGM`wr|?-GP>G
zy>Y0{8w2)xqx@2Dd^E=!i@LlpG|7wg?s%b#v=?rBwjD!Cw`0EVcD$#*9VLHkL!b6-
zcsptvtK4naCbA7}A9>=Nd`~>-<%#y%o~ZEI1Anx5;PYc1_}Ib&#{@m_+mJiTo_5D|
z+ubo;%N<`%yP^3dH>?kLLjx-}>=1TC=SQx{Rp5#pJ6thF*Ok>jw&Kc;t!Nyx6=~g8
zw2|D3zRz4Rx7-CE`nlkIaKXd>obkVIXLL<-#+RF&F+{}~<=$?={)<~MIcy8Mm~TN8
z+=2@pZbpTI&8W6(GcGmQj2<&im~q_+hmxF7)zJwfm7H*D(h+?wI^yRrM~q+Xh`Pd#
zIR4lHONt#ZXpaMKFm^zbISwqle-oNzZbApQO&F@V32Q!Y#HqH8XcD^-^EPZmF8Pgk
zbiy9FF4$vUm_3?U*yEIlJywrwz>x9{Xuod*GRrogKF<a;y0;!J^4FvHuJw3g@p|n4
zYlo7z>~L?E9S(Zf;VK<Fy#8YyuD`wx-=(a>Oy_lIqrMJ>KCi{+?Q8K${93GbSc~N<
zYq9pj8oYjK4Ne?igHrZu&_Qtx7QMB_nI>EGh_b~YJ6m*+x5ZbJHW=P$gIbX`IKIvX
z%j9hE;G{J=Hd^D#NNZeXXN{}mt<mX?6^1lfVMUY`zFcpGI*L{p`OXq2S}f5i#u6WF
zv_uaTOZ+)yf%$C~XqRAtLYpmcM9l&lzpTd7*H&X%>S|1PU5y3WtFiT$IlkyNN2!zM
zxW&sHD-F$&gUuXw53FL%AFFWNo>e%_tioizRcQQpCB83TiM9Jz;t}(exJ7Iwu6(fq
z@xlsZ!dIZR-3s(pT!G0SmSbnza^y@}j`l9gu|{h-O3avHe6Jbu=bB;8E;BSlGkn5h
zhDnc1aZQCON*^@EX$w<)C~1m46DHWzWP*b+COGM6f&v;Qxa`L=Jk-4mJF}M|D}@vu
zLe^G{yvxw@$x@s=yA;Dhm!hogQe=hP;nDXD%MM^rEQP^OZVW!rWAM%#1_uTSpB5AT
z2qIKiO=u@cnEV=9ehT8E1jIBK#D6-7p??9{?gC~O0WJ;#d}a=qB?-8B(ik;bjgdXc
z7~i-W<EWl7j<6Zy#Qh~WTebw1LYClKn<W@4zXbcIj8N&C5gy4f!q?tLxD}1?DZdf=
zK3$9)=NDr|<YIJkSd3zti*aPe5NrDlF}ctXLxK#^&%zJ`WDHsLFu?392H1AO06%ye
z;6gIMeF6q}V@w|x)azqPj6QNY>toC!eH3HU$Lb+HTwke&a}Mj_Wjj5LSfGa+f9RtA
zZC#Wp&_%%@7A$p9T22>rKQ3bR-$i&Ndl5G7UWC8Q7NM2+A}pTNLEd&9Je013-@JA3
zFr$OQ!a7*<QX3sxw2?nq8+$#qG1FKZedlVU?Q<=JMlIA$&_aE8Ei^IGLPtI=41Kl`
z&(<%*mvIYG(`_M!EMAEBc^4u*)5NNJO;nH9#2PnEG&9n~Q9ezK9@Aizqk-QNG_c)6
z1JjH(&`&@EonEM;ZHqeEq^RR2FLm@`)G<y(9WPF(;p;Xv)W}f7eLiZ~Wu}Jel4_X#
zUKP2ot71&9DvAcEVugh&S}LgG=PwJe^40>}RkQ#Xhb%xoy9M}0Z2=DbnUAczwAfoU
zAMZ!Z$H~p}kyn2{8uHA?ozGOTyio-|C8?mfmkO4!q6h`VR51LlGXA}$%({j$%Is6d
zCM#uhQ&vWipGw$2poEzfO6Yw|30F8Np@yCkO7SS+yfH<TYF0$`R7Et~sfgRn6fs>&
z5qm!>pg@lTZYfm2^C1c-x<LUCFI2$KYzi1SERTOK%41rhJnDMM<HKe07%w4@7E^L4
z*e!?83gqxoh#a2TAcx6Xau~xQhw-Dbc(PFzYf@zK&Q4kUwOkf;Wo2>i7a45olR>_6
z8QgJ92KzV5psAq@UYg6||D>_MLmGGFNF#5cG&a~uqpzAYYW<VKuaBj$=b{vrB}rk@
z4k<jcTna;ES^QNJ6Yof3Nu?y-jFiObt&*q?lISfeiM8(}a88#5ZY`9+&QJ+7aFD<%
zJqcXIFM*d{iKE>War~Gojyb{NXlo~qJX+$|&nb?l$HZ`ds~B$15<~L<G1hvF7_t`4
zaV47=ZW^730nPI;>%=^~v3DN+v6_b_s`D`JpD2zFiz3q`ibd(7IB%~gCRvH1u&OAY
z{wIQlBO*B1B!ZzQL{P_11YcW=V6_@cXA{8<PleIok}%3;38T<HVdP&cjKT|rQISg+
zjmL%1sa*&oa)q#QzYu=jAcUwZgt7cWI5r`O%dZP!Re>NX9u~w?n*~v2i6EXA6-28k
z0eo{y05d8C&>~s@**yiY+e84fWCd`~kGZ&JXf7_fFc&pa=HmR_b5Y%DE-qG^i`MLO
zan~3>rnT|owOoGueSjZLH}PYF0Y8oj@#C`hd|2GehoTjH7$41t{M-02(~J)_6!@@n
zh8K4{=0&k4UhK`_#khUEXlKWZN{e{$CqFL^Px9c6E*@+y<-z($7JIOCQyv_a=fPhy
z+^GD78`n2;V|*4j-U{MIaeHpuq0f!igt$@d0~e;>=0ff&E{uxfLcX0`n6sJ-^;EfV
zfSrrAe!+>FS2=O~3@4Tx;l#aLIdS<?PLz}7#D70I@ZBR0eBQ)?PqR4iWiSU$Z{$Fp
z#T=+Uj|10Ev*VGw?ATbxj^9$)(bSI}Q`fTNqz*gU2(V+rJ2q6m&4xu)Y^a*RhIKw{
zxXPLh$28e6ikA)bCg<R*?m1XgF$Z_V&cVey=OCZu9DJ=l2m86_;KBZX;FbIjJlFmM
zf5Cr{-2WFYC;x?+wSU1{=r2^>nFXoTS;)4V1r3o|=)U_04yOMBu>S+RVt?Sx{ogR0
z`5Q(Ye#3jo-yryS2268j;F$9a+?AUFgQvfs_{=X@;PDF@RDOZO%b&nq_7l2y{Dd6M
zpK$2y5AdmG!S4qg(*FUupT9$I!*}34_#K?+J2d_N25KGOpd|bo7_9mR16<#L6=w^S
z_!YR<eT5eyU*XREFVK7P3k+@f0#ou|K>GP-*iiBr@^*ZN&kH|;^M`2|JU<PagQsB%
zrXln9C$PTq2?V1)!MMdIxWWGkn(lmrmJ=VL*YP8~k^KnLV^iQ%G6iKjr+{5&3j98O
zfVZp<iu(_J0AbS)(8B%!0=nM=B)td04e#Nz#Cw<+eg|&~-obCLcOb9z4%U2p3yBSH
z;mM)5U~KjliaFnc!mT$@k@^OfJG_BO**8$|d=k9MCjs|Nf}G(b2>yHxLLIL`A^J5e
zwRsJ@L|#Mb!wHx=Jpq>6C!lWO1gL%b52~8}1Jfh_!ShxBK|23`uzv6rDCWF^-)^s9
zLhThifBzCD>tDjZ(3haP@+EBMdkJ}WU%=b!7hvuF0-DrcfZ^0Qv^9>yrX%C<+k70(
z3yee1&~sRQ`Z=h1JqIzJ=OFxb3}oBJU~%*qIIkIlRPiymKl%*R%AUdTz0cswl4s!m
z_bL49dJ5^OPXRVRg?GwNq4v!v9J@FQZegQfYd#7Vf}>#fa0GS~j6lM!5oj|Qfj=|D
zU~^*_%9Dpd#Az7fl!rm+?Gq@je*&wHJb}*^PoPfZ34{(mhK;3<f&3oBB76*b?2o~$
z?-6W0`3Pb?9>G<uN5K8<Avj-o2$$m@g4U*oP@(t`4Bk9|-uegNck}_MSU-Squ?JB1
zYzPw14nc765crx6fgk@69D8sd&J^B<Tf6TAC)@{H_WMxKe-GGl??HgqJ$SEo4-Whu
z1i|h>xNu?+w!00&e62y4`gRw(uib^(<hxM3<t~({-GvL&1JKt#0N>&VK-+Nu{N@ip
z$J8B=yL<<Z$KHWI8}C54@*NQU&=2P?^~2VfevsJM4<kzbQ2V|QQZDsDXiOgjZR~?X
z%6*XZ;Wkva-i9Z!w?WL|HaO3}4YeO{fpGgRIGk_`zB}E5BWkxm^h+;XyxI%yDZL=G
zwHKZ*?1hFOJ&<{`2O=_hAk34+dMtgm8yaqR!}Hv3klED@?#A74fwLP#?sq|0Q5Ssi
z?}CG-UBD~Y1!W^Q!LI5ia2>h{J(f2iTk<9Z{dWUg8g9V)s2i}s{sy?K+<-%$u0z3<
z>u@jSI*7VmhpmgQL&Kj=knZb*xKo|LwYw8im`+&0-w8LKT!X-~*FfjcHTZ0G4Q@zZ
zgObUskkWD$j>lbvxXo7~Tk|Sh{CNeQ^jrbK+$*rw=L+P~6`1C`0uI9+aI>ldR)lpx
zuWbjo%6Gu*`*t|n-VUBA?V#q~4&U_JVQ@}6TpDbHn&LL74r+sD^ES96(FW5KmqEGZ
zGPuNFhGOT-@KyUV*w3~?+nrW0ENq2_eXX!!RVxgOx5BZBOQ7F!3EszFf(DmM5Vz<O
z?EKdP_Jb{8UD5)!`&(d(WeWt#v_ST|X6R{e2F|o*ShKAe3XGcJFLyKSdeQ{X&NYGi
z(I$Amz6qiiG=b*#MtIcI2q#W8!e+ll&|1+5JmQV;X`%sMU21@rNewXN-T<778$gY_
z0qmdDLqc^u^dGAS`Hl5(K)oJDeq99H{)^CEcoEhGUxeqD7vYH9MNt2E0fsv-K<>#4
zu-*3ppy>sWnRfxWCeFj3OXuNl@_CrM?K~_nJ`WcB=OOr69n@T`gXx$$Sng5>d3ts5
zkE0I!AJ@X$>RJehs0B91TFBR`1@nJ3@cn)b)K}I(*pV7oXI}$48Z{vCryBSMtAV$?
z8brgYL2Z3Cn5$KT-^@8E88`<oO3#5#=sAe6I|t*c=U~lD6<iyrf)!;|&=*<-p6jcC
zO}z@Lf1ibIgJ)rW#aZ}p_$+kVpM_%0vyl9^5+a9KsH%kI@Jc9ltb|UTN_fv+2`W!2
zz@x4Ls*YE{UzZASHLQRx-U?vG%AuvP99ATi!_c;J2&8h56)A`Qi84rNFM|!4Ww2m(
z8T?yO1{2a{@aSVH-0LcZ$N8l&8C(kNYf3?5K`A)SltAiW3EZnJ0p;)#2yrTbVcin2
z;4Xpor^R5}SPZ>M#o*>u46{p%p+c+}T;3Id%=ID|&ntrZz#>SsDT4j;i@<xP5IpV`
zf_GIR1V<J^vU4GvH!Osw{DmO?vH%<|7eHY~0estC0GrGUpk2NI^uL{fn*K9jRDK3-
z9z6pdPG^8i{|wago`K!t`LL)pAAX(4hk@PsP-mVGxeED^{QWc}44j7a%F|FBaT?m4
zPs5AFr$I#UG+0fXf`lul;9<@w&<<qDwx{5W>M7XqHxFJs%7a}O^5ADe9;AEafstt*
zj7#M~_H-^d-OdG-vRwFjG#3Up=R&h#E>sBQLg7RXlw8e$^LaVY6`TVT>vBMNVGgY1
z$YFif%Z3}x*&ucz8}{tUhC3G7z^G(H-S3m2`|u<*oj(bdi6`NO_eqFZeiDr2PQtry
zS#a)d7VJNl1y(Uxpz4_g{L8Z7mt+=9PiMlHK2{dYicFXnl?nQ8nJgP26Jo_P;p)c>
z;JBRucI6pR8j%6)t{LEq889N20S+Hez~fsdSo7=&_!V&ia$HZqaykLi;wRwTr*!b^
zO9!Sh9fYIP;e&fR3@uHEn^Ng;<x3iL4y3`Ib7}B0HVxRk(m->08f=zNgY=)NaDONj
z6fdMgU~(!9_@u%Ti&Q9`p9*sSQsC4`3aGZEKvQN4Y}l6q-`1u;u~rIf=1BpmSIO|~
zYBJR3Cqry#GWa+p!zQC-uo6uM^Qk1TzMTY4l}X@tJPA^^B|(!}61<jA0+pFW@OqR8
zbq$HYaUu~s{1f5knnYNvl?YWliLmg$1h~+d04oa<VB|;w9C1kiO=8KC36T9Y9$fCl
zgXZ~o))){Eqr2nbx^+BU)QE>FE*4(KLH)HjxKR)X&yK{woUL)7&BTG5bR6V;kA-JL
zv7lWa3*qT3**_M{*Tq7;PAq86jfJysV!)s$2CkLIfb;Pf_`N*_N>|2!qe={j%!z?}
z&yGWW`*8?3eH?7Vj)R`_agd|qAS`_x1b#$==)-7GY>bA*nbEKzC>jphM?;xGG>nKu
zgY2g$@EnMO^R-dHlM)52|6$?InkX>UiGrrNQDFQo5;|^0!n&$RcpV=JaXyh?U>ylB
zG$Y{@ZzOD;i~zNs2>4zR0RyoSaDHb5<XT2Rf<^>H^F%<*>u^Zx4u|53aA=DShi5y(
zf!8V=7|n19;tdC%!DH|z{TLM39|L=_V<0|s6eco{LXX2yXq7w)ZI6z?otz`^amx`<
zmOBETqle)_{$UVxKMWDdhk@-y7^Ibifu465JXH^aQ<I_KQxyspdqQEcZYbz|Is{8E
z9s<YULl9wn2rmB&0j|p-;C3Vgy3InsjGe_d4uV_kLEyAG2(1DK;n=_d*m&XqfWraM
zl0E=BBm2Sh%zkk9+z+X$`{B;(U{E+03}Jr3Fli7BUf+V?V@nXk9}WV;<w5X{BM9od
z10f+X5CZH1!CNd4d>-wC!>9Ja8TWlKuwWkuPX>TnbpW&l1i->20Z{hKAM`r>p(oNG
z0xbPOL%<(C-1URbEI%lB_JbTHKgfNx7tWsD3q5{&;oIW9VDM`X9PZcy52E&fiS-_6
z5ZVJYv>W<!cSC^tZctI%4dZWpq3*mdBpvXDkY&CQ$nFbaJw9+E#Rpn8`M`TwAJ7}$
z1>qIDU~KO$SZlNkdS`aRrfWOlL+nn-T(=W!BzA((=ni;ZyaTTJ?11z7JD}!=H?(wk
z!@c9)Ftf%R^u@g)c*G03ioHO?*9%S>c!Aij?QrJmc7V9;@XT&IWJqlX$FXgoS+Nax
z{kOq)<8AQyuP6NJ@&xfzPhgxp!B5E(>Rx-m-#QO)3Gslg<sM+h$KpYEaLIFrzuVlQ
zPTL*!esu$CcLT8)H~78I4W^~s;Olc&;Hq*3)gV_`zswa9xLo1hovommvlS9Ox56K-
ztq}Uv1-Lt0pfJ`2EH}8oA6XaZc;yT!wa&07#2K7cI>UMaXK;MD1$+y)K%(y!Xf@gb
z-~Vm~v);{cGGjB$xNe3$nw#O>XD2w=?gXN7PS9fS1bY;mKzGs+W-mIzlOv9B-O3SK
z#T=pInF9=*b$}1S4j{AK0qo~GK+eNW@UCbR*zVl~mv9ppac+XPfsL@?)JFKSV<QwB
zZUnc#_Mmag9%i%b;kl<h++Ac3{l7NAqnjIGDt!aYbK3x`v^GG*_w~@%xgJzg*F(I^
zdibre9u9rA1I}x9a5~uzRyf<i7j-+h_+=d&xw;M<lGg#_ypCmCtOKpDYhlT?wXim2
zEd;u(g%ZuRF#c@~=v-d|QE6-7wd)$#ti1*v{Imu4E?fAPVGB8)wqT`a3!Jky(0|JY
zigRordWQ`J8ri^Jb{h!3YYlN{tf6v`H9TOfL5R;9Ha@a~vN9{+2(|*hl~(Ydh!yM_
zvxJ{DmXLYa5|-Io!nBMfT%5FkW6c(@ImQA^9V|d!)dF<CtOo2{4R-0PA<$zr6zQ#o
z(ZA-f;Ep*Q%r}Qed(2_gGIO{**Bs17R>45kD%c&m3dC$yLAT5*h<&pXHeOl@+VLwv
zc*{!or@0b-|6Bnay(>T}cLjjY3fN97;1u5q7<;lD^s1IaV(4=CVzV4}$}NY9cV@7!
z%?x;x&ETA?893{jfy6&k7#T2ynnF`Z+-C~=SDJ#am?`XjWdb3MCXg0m0u4?k@JiDJ
zlxLQ~&fCkN_4G23_FD##X3OBG$TB$eVkvMpEQK@2m%>V?rSMsEDb&m`5ZuRr#Tf=v
z0~ioo$pE`J3ljuFEd*)_1eRL~_UjVV&LQ}64`Edq!kL2zTs8;?<q^J30UW&sFfS9}
z;tl{;0uU1b7<y(5MHh_WP_!{@butDUEn_gBT>{p3m%x^iB@ldI3FKKXfj;>q!1u`r
zHe5G?(vwEO?rQ|QO^jen#0cD9Erz$viy=I5F{rpNhJM4v5Y4?9EQSq1tkw|TMHs>z
z2SaFEXb6q71}q=J0D8&{;Kd;W;8|w?Fy8?7eb<MkTl&CVpbwrw`p|8u4=Aq>4WIO2
z=}kT8%hiKjetIChN)N6{>A}(Wy0H41E=Zl!g|EK4Flwd?cf@t!_M1g;zhe>nm$3-g
zeHMY1=_1%Fwg_@3bzr<*2Nq}OK-w-H_-UfUY8xGRJ*f?T9ojG_QycPqw87j=8@`Kc
z!^O8+aOkQQ*qqb?^*vf3uu=<VrL^GZhlTL>`a%%OTL_u~3t_FrLO3kH5Sl(~!c31Q
zSQThO(SA+fT%!qr^EKh^PYu{JpaH+iG$8G;1{iGAfYF5-aAJ-I*gsMS`C4_Dj#h`e
zF6wZ}P#voI)Zy%NHMr2M2G>*6V9Z+$xJ=YwiMSg0zf*;VPF3K@Q-!VjRN;!1D(EPy
zLdlN>pgOPs>dF^@`OyXN(qRE4Em{D}xfa0R(fQETFduS~=0mX8d~jYiA8f?u!>acx
zU~xkQHl9`i-(VF;T%!U_sw(jAk1}XIP==ryW#~Gt3=7<pA>LRSehIOTy;g!BSCrs*
zjuI&BQ-Tg_CGeTA1d6{E;pu%vD63Y4gU1zNqnjcSD1xSlBB;Dk0M$+fFgT?Emca_J
zbFBiTt1G~bfAYZgL>??J%0qUdJWPAZ!zNRCR@=%0Ov^#@Ejd_GDhESH<Y1qZ97q|+
zK{vk~gujx7RUNV*oFfbW?URKYwz5#8CJP1sWZ={j87Qomfx2WF=-w#<lPhFEOkM^o
zze~gMyVB5CB@Ob&rQv|PG&~_`un?DqwkauC+A9S&N~FN?s1!_ZmV&IsQm{%$3T7rH
zq4l~XM4gcY$3v1}xJeSE^dy0cUlL|tNx<JL62N;(0^|-z0Bn!|R~-pR;*o$GFT{bX
zLmcdK#i2M@9RAvg!**?PxW_FHHZR2BcDooj<o?glb%5pch4J<fMVZ-q%X~lnIzJhS
z$cV^}LdYx%p|ppJc2v^R-f57cz4zXGeKIrSe|w(a^PczIbI*Ox>74tn^W0C4^LgZW
z=KJJ$i<imqYQ*Ju4jr<*J#S@slb*`*`fkbcGSy{yFIUL&Tt~_B?7GMCY~PLJJ@FaG
z^S?8W_vX+zUd!rnyiqdaco-PVyPGqXm*GE_H`Zh<Pxts(Uf%k#ywwxN@&Z1|@Madv
z@cct%cq^@Bc-h)AJRKz&p44<1Ug}S2o<X%VZ(W=;@1LVIuUt=>7r9fK_hf-I?}4y1
z?`G>5p23?jyt`gwcy@+kcmW5;@Um8o;SEWT;msKw%{!4dn&%fZn#VUA&D(N%H19b^
z^Tei&=H2`$#T%@a;_1ap@xDEl;#ppm;>}W%;=NlU#k(xQmAgmr8sCrNJ@*^MyZm4j
zZ_9~MyjdGZ@x-Q#;(Z&I<PBDGh?V4hb&}+XT$SWaSCiynsU%NVQj+J@Bf+c8lHg4W
zkl>wpD8WnAlHkd1lHlE%F2U>gEzZ-d7w1(aiSv%Ri}U(!it`>E6z9!YBhJejC(bkY
zD8^e_BE}nt5aY$!i}B1ZiSdr9it!W|i}B`5i18-&i1K8zMR{WbMS1e(qP%6=qP*=}
zM0vWiMY;Vd%FApK;r&Y!;cf8|;XS%1!fQP)!s9-s$n%*h!jt?h%rmYR=6z2V=H2lW
z=HfTPJWoww-n#X|yt+xkJd5u_ybU!%yl;s@yks{ap2aO8-jPE>ymchRn=(;|Cps+1
z`%xvx`;s8Y8+H}s3EmRqjXxyFQy@W}`b0tAy<q`fbhQ9)AW?v~!d-x8WGKMPKP<qT
zw_bo}Iaz?$`sp9NkNro9`u`|-?LR8`_LumHe`%)CU((v}mtua6(74wlWO{Fe1U8M3
zqreC)fA@zP%>Iyv@*g@Y{)aZ_{ibDhziFY`Z(1eun|77`A_M1N6t3}$zE1i@yXt>Z
z%(I`g;M7kFoBfkEb^f6CpdaLN;RhXB_JbA<eJAnQ?=)=ioxbwEli=@Rnw~aHJ57hl
zeA_S;ix1Pnf^X#L@QuXOzmfffZ#28^D`h?VN=8~=>A!hjNvih?4TOE6x~pHPdd(MV
z|NfaqQa{r|lh35J?K8cU_)LEbKauw1PgJAviH^#DqJid*Was~p{?q+PKbC!@%uhq)
zn>a)^cZbMSX^5;vhsZns17$dVpsxo%&^q}KWYNN>jsQOGyU3>k1wLtf8zg?pAi0<f
z($4LJG-mW5wUiCeTlWEqJTX9Fa|h^EUq6*a_0!Lr{j^fCpKc2EQ*Le_EphB4FO5E$
zJgtuc+IwkJNH6tX?ImC8C7qET;$`;G6uTahRPQ12DLo|D+D*%YyGi3pH`%T0rjkEh
zG&{44Ozpa8NWF_L$#>DWwoZB!(n)KscT&&#P6`p|q}#b2bl9nbwrX||o7F+ez3p@?
zx}6>vwNtcGI}J&+lVVvLxqG&ez?n9>wWN)HeQqWD)K*$%-b!`5TghcYE1hU=p*6uR
zH0fFkNp5H%385C6P|!>YF3oiKL^C~F&`hO6O*A{Xi5@&`qJdpaq%(n|&5iWnWh2eL
z(MY8m8|jf~BONYjAO+6`8n4|zV#_&vuP3>TdRk#uPlq(>$!=yn75CNAjQBdbd%upl
zcGS@cxjJfZswIP$wIrusOX;kZ?nu<q=877c;8R1xx;50friNPoR#RVIHT`p`ra4;G
zq`tJ89EYo@E~AQ8KB^)Y%_<U|S4Cz+l_Z^7NkNvCv`f8`My6NN>%I!IPN<;MrWK^3
zR>6JbheKC6sl=3%*1dAF+*wY^6UymlTN!PSEF<4LWhAOnMn-aF^rNMeEW%4^#_dwd
zR4ye$*;1mG5)uk8p$4N8N>?tSSlJSaX(^`H;l)&WyO@4%FQz5qi%GYwh+-p)NYc27
z^mZ0e<HRD;>@1|Vm_oYsppYi36;if*A({3T(2m3cnr2==fA$wp@5};f<L6U%YCiq2
z$)|~$`J}WUpA5g|QOdhKl6;&;I;ZleaCsgn{mG^D{9ID=%%$%0xnxJVq$rw8KPz(R
z{fiv(yq-gMm2&8UOb%%`XVZm<Y`SZlO<udQDN8<^{`6(hrsOPgu+E~s!&$U%VHUj~
z&ZI5bnN;MONjhgUNqk)<C5mLy^~(3OKHxn`8N8?dt?#K)?mgvqyraUncT{ioj=mmv
zNAmOD(eAGqWRsae<t`bt@N5QIugjosq8W6#I-NcRrIV>)I!)h^PMMR_$*}J&QOa8q
zuzO3@$KF!XvbPjCl14toY2@#lMse5DsAO{*eV0w6C7o~RLc$x0vwTC6ns4ah;x|<D
z>ox5yd`%VJuj$Oy*EFK^n*3#7lSXGM$tI>!gH<X;9Z4m}rKxmhB!#Y(q|gn&6ndba
zLhi~blsYMe`umb;-s@z#=#WgQTFEqNO)@<YO{UK^NpvkViGCU<k;C33S}`Yy>b|}r
z$DCKR-|H34xcrKSH@%`d*;ka)l}PDHiIi!VNR=lOX=qg<O%P3_?X?N?Ff4)c?kCVx
z^#n4SpFpiY;^{zPJeB#z(^36+`mjBo9?8cO??W67X2emrYaAI~h$A%?M=Qp~k$hJy
zjZ2Otxks@y^K>lHx>(Ybj3tYv7<v;ELjsmDq;@oh0$0S4gm4Vqs)?qduxPqr5={ac
z(d4-}n%Lhc8YqvVfZ!<7HI5?MA4M_?qUg)7NNOvIr22qJYQ7ywgL@*meH2NHen!xt
z;s|o|kDzj+2%5Dgf{f-yP{WUK+EE-%>Hgug<#srg><OoH^TJ8uR~W^YgwdtIFj{su
zjDGA3qv8c&6!|BVJj+AL;U$Orq2zHel){&UQh`7yeXS0mg%Kfi)+~e~j)c%Zg%CO}
z7DDeEU((vRmlSRDl1S?%Wz$R28uOAwI)f=LC7ARc2a|$sF#SO=RZIw`gux*4dmlvZ
zUL3A-<sCtkFf)iMh6CwOQ6MP<29lm}AjKUBB$1_obV?|YGV20pO-ulVTL+MWRsg-`
z1<(PR0Q%bPPrhmXbkNP8<gWNrqq09mP4_4JZ!bu{=mlv9zMvELUeIZc7j$*`3$hY@
zK_N|kRF&XIQVxEkdd`oW;YZyQ{b=jZa|+FQPV&#6lZ(-Fn!Nux1ucF~Oz1f^*ZY!9
zoG-!Nm;UJZQYP~yw~4-VeaMFn<@%7apAWG+KD6n85A9m!Lt3If^q|?Bf?s)4os&0B
zxadtsw|Y~^G;b0den#3Q&#3t2Gury_8D$)MMmyI%qk8FQbhGy<O?mf}a-Ke=`!}D`
zroB%|a`97Y5_(E0jb8LT(Tkj%yvXLF7uj#~B99qf6!F883d=p|Yq%%PxAG*d)1DNt
z(UU$+@T46dJ?Le=2aOB#AoB+vByiM&EY^CEoQwyB^|{mTOm`agai@^m?sWE`J1tdk
zr(crpRNm=Eac|wo+slm}-*h8~eQxBk)Q$Yb+$gopl^S2Wl9-1pZP0h6n|oX-b+Idr
z5_P3BtuFLF)rFS3yU_C+E;MbA3;8W}Aq7zv%5HV0bFZCA#>1I1^qt9guQMqvb*3@m
z&eY!igwoTVP_Wk%a=-P2oYbGtlNC?Md(;z(>3&Sb?;g`vpT{)k?qfP~_%V5|c}(px
zk7@0o6FKBM(Wd|>I$`QW<tLnI-+xY2J<*BIesQFc5=Zh0cO(@XNBVizk>a;FlHp88
z+WN<VCf7O8aDoFhK5?Les}A&jH;2UzR4C>^O&yQud-@}i_jyFhcOTJh%}125?h*Zx
zeZ<YFJ^2*b(@3a2=~&xS<ym{$z15zIX4%uBzjoByU`G#=?P$Kc9hDl`k-54ZDXp|4
zQE59WAF!pDdA4L3Y)g6;wscI}mee<Mm}yH#M{MX~gAJJ_+fabJ4HezAp??Q#Xv1n7
zG9GI~IUlS^zQ~$xhFMdcjWsFjT2u0NYohtqlqzgZJKC+NDcy?h`dZQK`&LwP+=?tV
zTG2LnE0X$YN%b|B6q9I4POg?@Xkba_4_MNv)f~og<&PF*SYknrkrov7$bxG1EJ$*<
z1#MYsL1v>YsIbqRrstW{t(WFhV`WZC=glc*yE!dcU`}D8=CroUjIuJ#=wyHy{WCM8
zm)d4@WUCp;&NZV7Av1c`{*W%edq~?~JfwvWAJW(}4@q##L;5xQA^jG7NW$%=B=^pg
zmcB5hT@Ou3|BNa5Z!x8YIi@5pY)Yp)Oep%j35f@o&^dDxD$+5bjmjnzGv9<1#7yWy
z(E~DfctDYRA5ibu2ehjEKG{0or_TrP)5VGR=~K-;vi7`3D~{cxj%oMkWwS9EKR2dR
zXN*aGo-rNlzDs9c-X)8RcPU}nUHbar4sD6KL%#ZVXf)j+>mRpCF7-A=+`CPOlx~x>
z@NKHjGNK4;BXZtlMAp(qWM5`TzAlE8aoCVP%Nx?_=38XycZ*tdZqe>Vw<veuCLM^n
zNrN|Tk_+9WUB3)yT$%xOn;KBQvH`u3G@!I1eJXyePkar1nkuhPn$0)J|HTa&Id_B3
zExkcaL)S?={yP0Ix=v5oby5?$PSQEosLAdcrS7{%!4t00i~6e+=6jXi>s+P&#aC(O
z&=u~UE0l2i3QgE_h0H~+kYN60dgOSS7HV9kQu)hd)v8CkgY;;Yo*oIU)}zngFVUwr
zm*}tAC7PmoiMEctM0cw%QpU53G(r0!87{s^y+ar1eBuTAYJ7nlw_c$2qb|@;sV*hB
z>yph$UAi=1myQjdrz3Ia>Fk~J^kDOO3YIueO(o}Ow);8KKY5NS=AWa@{Im2X{w%2&
zpQV<qXURh9EUmB5p`TtllzT>p0+;BJ(`Rk6Nzo>!huRdNs!iFl+B95$hSvI@p$C`F
zQ0<yCwCT@jiqAYv^yoBYYn&#X8K+66M~iZ!w8+6oi_UD;qHUwJXidc_TKVi0{de{h
zsjoOihTl(8X!=R&w>e4c51b_DX(#DV*9p22b%KVCPLS1>6SQFT2`aBTPIkV>N&Uic
zTCnCgiH{tk;p}7d+36VlK6;E~=N}^)I!fo0k5Z7?QTnWQly*%%N-^z6XkNq-3N$=I
zYqlJr;?YMqov+EQbxq>yY0?{>CV2^Il6lc#y6bV69%vsXrxk}O^5-F{%REHmoDR{U
zV~6PFf<q+!S%dW7Xwaaw2HiNQL87xXC~)8)slPf%Qf3FKY|lXokUvP~-3RD;>;bxT
z{{Y=kJwO%{4^UvcI+aJN)9AbEq^_b)fpY33+Pa@^gzu*Tqy2PUc|VEB?kE4|eY7`h
zA4wSPqoQs5$ama6y5GE)E`;r+(?)ygtnyyECA*iLTlUbK@ICb9_8uaYJ!CO{54E+a
z(atC}N;6iYO{!{CG)axlckL$WxZRXtvYSly?55q*cGJB6T_l;bi+)+`qVETGk>H$N
zH0h%%ZAeq4^Y*Ir;;1V1Em9@L?>p&f)=m<4*+~!1>?Gk;JIVRq4pJ!ILAB3z(4$K`
zXwQE;XsYB6`dXtxbwMhWe^Z5Wwy995oC<ZfZzqY^?L?;A>Ds>SlsJ>)hm`4DnlhC>
zQl{-Elqq+aGHLwTMgrWQXLJ95(dHL7u6`c1aerCg#@_yMiapgU6yw5oDIV3+Rs3fA
zP%){}N%6j%ui_q+2*nlGQWY0C<S8=08pYcoU5f2NUliXK3b4?0aYj+n?3~90#*C-2
zw@2r)p*2fbsrV{(uA0XZe8JvoD>LgkyV>|gb#~6_2s7QJ#dQ15v6&8+S;%q&CYgJO
zy@)hnk;7(eiJ}#o^uU%Gy?w;?j5sl`^)Bqxb$8|y?8P)2yqV)@Kc>7ffZaVG%+@>(
zWml6T*vh78X813Tsmy%Eo-3v>i^Ff&_p9mbyTyBE?U~I&L-W|F<U$sbRl;mb%9&72
z6(>tA%V=(3qgtBTr^YsBRNKj(m-VoVx&5s6HJ=Seeq_NuUzn8rFq>ldla-(P!`5&A
z#}-Zy#3)N4WPKCHQ5{j_m5D(P+{Y|JB(YIW3i8IIQPVL7`l>Sc5H%J%$IHUPP!9fe
z<Kh3`L|A%Fg4)l?_;E-c)^StuS9&^*UYG%&cQcVEKO0Tg=b%1kE;6Rghx4@s*!O-R
zevMxYr?X2iK4B>=g_ome-wN=&6=2l65}~VCqv-A$w7*}A{!xVPeLPgVu19L!2DnYz
zi1Q~Eq2S9f)C>eqSAyoT%@Fd~g5Zj+P?1(fyUKRlF;RhZ(hfZTuoEli?ZR8l-B7bv
zLu1+=T>7{de`f86<34rFdvE}6!VltTod$l39EP8QCe)4`fxyF~NC`Ox<I>~UK70aG
zrk=t#Xrb}+X%w5CK|z2vDl>J^-*FaWgw6vqb#ZUw1r!{*h{e}0!QEC56a6nEIOPgd
z%dSG8=Nj^UUq_IPKHTRRz-R4Eq$uCQpoSsVoi&1+{%y#Z-of)ncd^UU7%~C(@FC(p
zdJ`Yu!6_3=?l8fobEf##Yl;n*9%2mtA+B99gZ7Xay04n!=a4zPuUeq|g9SV;TViOy
z615ksaG=KuS~}JcXtTze6E^r+YXkLzw%Al+i}am#sCsXQ`^+A%6Yb%s@Ce_7AK}|f
z2Uxp1AXeHDH!K`ExgC*s-3c3eoN)N~V@Q=f#v$b=_%Hbh5|=rnz}FeKWnGYN?gGDI
z7fjW4g+iSxns>TkVTv21mbk;#(;Wd49yn^~fv_$QcpUJ=oD5IwSm6b!r(U=u{uH|U
zPa)j$6pE_PAeZnA)-%2F%*GpgzIem;xDTANd@yT;FZQ|lV%A?@Zv8xmU*U78ukk~G
zryo52`C<9l7tqOn0jA)OBxiqAefNj!u>kx?3&7vmfe1Da#MkaXbnXa(QD_iiq=Mm~
z7mTq*!Qd@_3E@XCadYq`?01D=XJ`n*B|?#KE)-`oL-Bfc7*g(s;Z#Ey!g=9%?i>!q
zp>UX}M&NQ_1cU@4p>#A73*#g4YD^S9or^-{+bEo#91V|a(YTWv4Y64<V1_Z6Ssa7#
zd9moc6N}u^SZFSYgUj7GZoS1}-28Z`-;Re;Q9K%EC19RG0_1ZNkTxX|WA!+sB_d7c
z6{enkg@v)N&@PmO-3O9z);|d=z9b=dOEO9yCnKaa8LJgipm#3?hYM2hWpXN%&ZPoz
zsrc|O75jF-hK|Q;Ea`lW7Yc7sbmtAivfe;(Y#L0Crok{E4RbzlW!_snF?kEkytk+r
zmkyz$>FD-L$Ai9f6s^oasbL0e(lYQv<Q=B%dWT`Bcd)8{hvKR4QK<DErh)Il?|YB2
zD>Bi4Jrl+WnaKK)iR_J8cyK=ppVG51RX7`ew`If2G8;oV*%*<?LFUdJDBI@XL4FSO
zN9AI+YA$STauJc63p?>V%-x=cTjqJNc$bI00{N(9`IvAwAF@gLDEOKWrBwyEez^dr
zLJBads{l7<6~g^kA#S@BVscp_Zb}uwNx2BR4~p<NsR#!?7vbE}VyxFGM((p>OsXoz
z{4pi?vaJLr#w93<D?wd<2?A%AVwGko?mLviF0&Mxze>@qP{!@!GAMhMVPZ)cLWIjP
z!YhZIUO5JQ%VAMbjyACh{M%50R=o<C`BtE>tOBwkmH4}^5)tPsG0U?Ohw>}2?{_7n
zmsP>(conMctI+nk3ekgA*fy;i&vsQK`3^@zs<ExM8Zlxu=v-Ta#xphWa;m|Mv>NCR
z)Zq5yTI^G<#fR&)IN(!@`}wuFHe8D(bLtSLR)?=fbr1=tLt}9rjDOalb8bDx@2SUV
zqk0ti)pP5m9wA@rkvY8qFSj?~(A5SMxi?@;dIKi)Hef)e5!}fdd^*{Pxt5KX8PSOD
zibfdzYDC4XCj8pogh9O~ggj}&s-z}ZG&LbWs2Pq6o3VX&GxDxAW3p>A)+9G$YEv^x
z1X{3fUJHCwT99<Hg?kUSKqI;ZHRUZ>@T~<~C$(b5hF0_(ZN+8dR=o3WMORuYs#{v&
zCeVg?v)f?0xeXDg+wjt~4LAJSAeGSugVr{L|7%11jCR<ucC0?$j*vU;_~_9NiB}x0
z<oM5A{n!rJFYmxB)egj+?|_MU2WI$nz~M~?O6oe${;dPq<2qryyb~fjJ8@E{6Lt?e
zVe8e2V+o!3SJH`F{hfF#(uIZ@UC3YGg-7aLn5)+Xdy6jQ`E;S~RTtircHw4U7X*d6
zaaz6`uB*G@quPzTXS%WcPB-EncSAa)8%XcQ)|zfi|Im#>ksj=y+JmrFJ!nwrLF<Vg
zr0VxT&!z`oe0s1iz6a)cJ#c95!IdvPm@m<bxM{tZw5k{C%DvDz(u+NpdpZ5mi(nV7
z{$(#truO1qaW4$oda>neFM7rLaBfN;-Yo6IAnU`Iy?v-S-3NR9K1{dhgOyt!@`L-(
zoz#bhygr1~_hJ7)AIg9CVfpBOoSxQ?tIPUvSg{{dcK0LUSU;9t>WA^2egxa}Biy4O
z_QCy7N$f{sW<PdU^uxWaA8&^Gkv7tgr&0qrFl7Ke3kGm#?Ew5X4<L8X0P>Fw;HB;W
z&fFZpPtyVDISe4xi)$A&fT7p{RHhBUHGcqWss|9+HUKgH05<*@fST|inDih<O&LVO
zT&}!g5dP~2(X(X`5^94GKRk#|twB7$IEeoY1`&IYtGD9XISpdJ=ODJe7{vInL1e}a
z;=t=cWMmFPx`=CAH3;RVL9FZ=#IM0Y1biLDia&#J7v`gN6d#hZe8^7W<M&KHG8gc1
zWjP-|*6?xWKRzOq_^8{?N7rsX%GLRJuF1#VlYF#j^Re#&A1|)(QLWF%fDs?<_xMP8
z$cKRyA7kzLc;v*#pbH<%J-N2td}#Rb!2<aZ58)#&oR2Nh9F61nS9~Ca56w4x98Bk9
z&3it+W%2PemydY`d^i<x&nw|%EaziUB_DID`4Fh(BcqOwa}9h9HS%%1nUl4JlcAN5
zKW%*cYUiV|gAe~sKK69+(ahmMHy_~~`Z<j0;bQ^^Ar6%sZ_i;dhcK?490x7#K4<R!
zaIT+Fu0IE^Urnxm3GO*Q-1FqQ=Nfa*&#K|$YZW(#oLr)ud_A0;(VV<moZR0z`3<u9
zsO82pH-j608Xs3v`M8$E^_9Tq^dKi!B-c+EC&x?fS^ziy&-oDK=4t^qXKP%!@jmAI
zeZ)t;H6MoNe2g~X!}cy8A8&DUc7u<bm-%qj<-=Q>lac$s=pNx?=|Mhf_VA&%lN;++
zKK6qTzx907ujXT987J#PKK{<)qe-5Rpz)k6(%cxt`M4v<wg1JfBW`_I@&^&uJ&1yq
zK@`;vBDri3j`@R}9XyENse^bNKZtP=gD?&pM7j4MWZk%R=)kQz%RwBxKM18;gP3$>
z5Ors{zD^8crUti`cXREw4dU`fuJ6@@=vq7oq1l6wnmh;rnL)IQ4kG-|0Cc_#K%##D
z9<2iyUo(JvMFS{*KLELu0VqWe;3&6`w4QN$@5umGTMyvxy#c(^AHeYo1Nd-q0GAIA
zpl&C3ZPNgZxP2M6cmM@622d+EfC>q2FLHa=>2p74XZAz5u^)b={aBXOkHF-9jE>~q
z3orWN@79kB+kSky-;a?S{rG;aA1z1wk+`QHcenIo1@)t3aX(H???=<veyECY_kZuh
zP=6m5HTPj}Ss!PA_2J^HKAa5g!)EV3$T{_)@?js$Z}wrXZXaTf_F;uuAD(XN!}nEv
z*fOsV_a^osSfURZzj~2B*o*hgy$CPuh55T)?2hk+ND#-n_hOq(FADE)RFC6NaP@n8
zp{CReOYZ#{HK!MOa=oY!=|$1E9wc@5z@?@KTDd)#p4@}{kRIrI_29d04-D`2p!ZS_
zRFC(-dv_1o6nijnc@Gq)_u#;o9vmO(#vy(;HaB%+Mo~8gUw0!cyc@@#b#p&O)D7pm
z-I#Kz8;_56<JZn^Xl&@li$&dNo74?i@ouae?t*Gp7xq_j^nDlB#dbl?uL~WHT?oA2
zg`<}_y>h$@UaDPKu%Qb93%f93Vi#_6I;rGyCnmRb;vlD|%-(b&AgmKfo}9k2>O}I*
zP6TOp!g7Bnj&AD2Y);2D$alh8q7#dTJMg-r16#{Fke1egW#ODo^z1-~C091+fbQuI
zc<kZYZ0tbgq7Jl7=s>ej2g-)pk<{1@=e%~DNo>b_|8_Jww!_M}9SbhBBSoVfTeh?#
zZACj2rnbXHydC^6ZP>`^>wATqzD{aGOF$d`IkjQ@y*5n0(1xiRZIIsFhT&yxsF>V_
zK#?}+eQd?T##YqkwBmkTE2j9iBE*)n6>hcS<>^*TQfr0rdd^Om+lu)zt+@EB1p!?x
zs4Q*4&(s!-4{pJ{CoNcVkFzs$TQKQB3;wbeG%RXCq+AOO|2BjAnlVt(47apq@IsnV
z?A(lF_nXnI+l<2pnvu<#v2;;0tYn)}_ooT7dzzqC)&$qoCZq>8q1}<Qhi*4PQl|+r
zdzv7%zKQcin$RoNgxqh9@NH?t<-A6$j%&n+XN~aV>?zf2jp#qp2-B^NkXhac*NKgg
z6=;NIUjsgsH*h+s0pWoS7;$KTvQY!fPd6Y{wE=x=8X&{jY|F$Nuz9E+YPI#)pHYw9
zq4n70T#qHjoQ-$39^Gp7NTPZ?oLP@;67~4|u?|snb<liQho7N!c;Z}#xyE&f(5Zt0
zXD^1VtHab8b+8btL(hj=Y^kY*>)Tqi2G?SqQ!TWNYT=?)i;Nw$=w4Y1ktwy17p%qN
zz8b75<B(i~C4M!SW>W*P>ow@ptU;C%XR|Ki?A5U~Sn;D8{FZ72=2YWQR5b+LtKomY
zn)7+9QK?o9?RC`{;Ot*Lk!o}gRN+WP6|z&Ru<S(@>};ygd94bhSq0NgT>XM7h)7pK
z@mnP>H&(*qeI;IpR-*oKB|aNfLRgEluT?4`x1tiV6Dl$4PX+$8SD-hq0>#l4h;*-j
z_5BJQKU;w%yDRW{bp_(5RN$IG1s3#_qq?XZCh_H%_p}`EOv`ahw;Uh#l;iHYatKW;
zhq+KW1p3Nwi}M3|63U?dtPDvH%P{#u8T9v-A$J{Do>qo4LS+c<Ek#dpDP|{>;?UDl
zSelk1=6ort)k-nErWE7kOR-R(6zjW7u&uBJyJAbQ+oJ?K?w4SbP6<}2mSE<}5=cxe
z!Qk&=6top{b6AW!5yen-F2=;$#b`QN4Bu_VIKHG96UG)J?^_X!8j3hQT7<lyB3!cP
zey!t15&RApVI3<%)|?{jlPE$BzmS{fLewM`V!uxzvds#?yHJRLJ%t#vwh-5+6r${J
z0hV_bz#^{zb&&;F>{0-O+XYBHS%AM=3&0i^z(~3PQD5@WUYn0`Y58FO`8aEx51Y&R
z2vN^R7B3%7)AI3IFdxD_c^F%mhbb|6nCX^>*>^drl?Qp{Jd9hC2T_?keEX7%w%T0e
zzsW_^i(EXm%EdLkT<qGPi@B7G@AA3G{g(r`&Kzjv<zQiC4hEj&Aj~iay2o=cXLAnf
z=I7wis2s4NZ1h)T!zC#j8@;p9Vww$;bJ>`&D;voQ+1Nim8{I#$VAPZa@poBp4$8tb
zyDYr8nuYlXvk<gC3-hLD!B;Q~le#nUC_fVdQJJ{roQWpGOzb$GiD;!vOqibuBgstE
z^528X-{W!Od-Qp|$EFAG@kIMQI#k|c)w1`vH}*YpzP^KW-8&q3^A4_l?@(p&4ssXY
zVb31UuU`EQX%pY!%dZT~Z^?kh`wW-`XCTTh1GQH(@b5qd=B>|w%CrpV3S_{lGaUiB
z>3AESj#{U53>l<D<VZRuv2-k&oerL8I=1z_#oi*$zmIu~Q?75JbNelHPrSv&%^c=)
zWl64%pN3OqX`HQ<hP|F?*mf@s>rba)iE<j`7pFmTOd5tizCnBC8x$tJLHx5fcxv(n
zCOU7Rv*Qi6FMET9W8XmR>uYq@yheKJYdrORjhkk#p?3Z?=IwfoUn^dtSoSp+LrR5y
zeJZx5r9$>aDq1a45q=>RhH9zUyebu=CZwYLM+!U|Q*a_Z1+xQE&}o%|pi3z@zc&R7
z*QB6(VhRF&CF68+GN!*vMr~j+p4cQ~*X3jg?@va`+GJdtoQ(N@l2F%@1pD_%Tre>S
zL$*nHekBR})RXXUT@oUuB;n}DD~PwfLR{u6oP7BT685hUd-WBL9e4#{-YbO3zk>ST
zMEqz=gilr?wuU64*FF*U*Ak&{FcIavL>Np>#KeCIc-5W&&FlpH2uXm)qXh7-C!qRZ
z0u0tCKz3RJqW{H1ts@@&+3~OnjmKPvc)YzHk7F9~7+xQb$J64mOduZF9dXdgiNmi@
zE^g!yhvhfokgXAiQyb#&V_F;@3&e48omjlfiN(>dSbTPfh3$=4%sCW`lnt>^pB{^T
zfml53jDdV^3}VA#pz0Wd_8T#{b0`L~|HUA5dJMJ*#-P448aKGu)u`}jyl{-hfBMlV
zKNO8i|3yP&Ml`$yqd{F!D9Me2Zg>=goTBhdKMHg>3Z?%=;nIvKhzUi(uPYKPFA{a(
zk+|s;30Z?kL>-RA?v0V?pAiXbp-3#~jzCsk1au-IAo4f@0R|D+rWt{*jS;Y%8G%K@
z5y<Zj$L0KRjExLO{Nr$F-VDcxW;py6!?AN#I6ex8!@VaAn+n3v6B!1lCt>*SRv0>u
zgu#)8VIvpE>k$cqOK&K)6o%qsR49C%L$TK|6avRW!Hpc+b3!puEEM^DA-G=@f;BNA
z=yM6dbE6Pw9uL7dr4Z!L4S~6M2sRD8#P8ylNQ!-lTW&A0?#@emJMj_;n>l{|ORSgV
zt`7#|ZD}yf<Ab5<5sY!h!KgbGj2Byjp|_BWJxT>bcqj;^<w5XC48j$!AZ)rHgmGtr
z(5W1Rq{TsaG$shzp8`1_G!U}Mff#%ih#ZqZ`0E71WJe%QE(-)38;BWS12~^903E3T
z$ngz8gjoPw&IiDFR{+i`1Yn<B02H~n=;8){On&PR34ee5wDiZ|MSryJ;bNw%{ZTm4
zADO>i;7#)jB)xlq_@Ebvv3-H)D;(5cAeLSrLH-3&{`w)k-4D6hekcp|LxY1KdT#jP
z>mfe~Z}fxQOh3#Q_QU#~=TIwn4xOmyFm`?pH^b+MIrbdIo1SBEE_Z@e;yG3f`eJ{n
zFK)&A;+cmpGL3!lLCY6Ylzp*%u`h0p@kQV#AJkO&Kq|!tN<Ka?eCUJdb3W)-^}zxK
zALz*W!2i29Ivc#PFx?w^0p5tU_Qo$gZ*1G|4X1V9XrAJY<$s^ye)}_&Wk17$uxGgE
z_zYG0&!C|B40ejo&^PNDc8WejSl?5~6hDPQ>{B$jJ;k=WPZ4$MDW+|E3cE#5@n`f?
zT>a#Q&MGe)OYuUbj~Diud7<#U7k2ID=t_>C;Dw5xo;cF%iMDs1xD@P(A9kLwy5@<=
z8lDK-;0dJ}o~RM>#I+s|NELeEWwZxWTs_cx+XHqdJ+N}C2Wl32z+|)smVR<aU6ng*
zQrxl8*BwJ<?g-R%#|breOj_-Z%8Bl9{_Tc?t!|i<<%Y%(H~2fa;j+FPHfXv*oVlT9
zwi`mk+;D%u6&j_kSdrigNiSFQ+;>Hewktw*xZ=@rR~X2;;>33s>}YfWWw>BLkP9Z;
zxnT4)7YJ*(;LipZe4pWhZ^9gUo$<ZM8GmA(A?)Fd(f6D&`HV9bs5pbTJi*R!&Nw;z
z1h*QVz$yI+XTLr{f$b9vUVVbG8c#s~J;BMDPhca$<rVrKqr3PqCdWU9n&)Gf-+zoZ
z+K=&b$7AqTJcg0nW2F9Yf?%@~cD{Fl%S$J;J#xY-eJ7Y{I-!<1L1C^FY$Tk}#dpNE
z3P%JcIYQFM5!cKdQK#z&<voswTjPj%Qyk&`*8yWX9XLD2fz#g(xbNbCzqcJ=dddM}
z$_{W?;(#e*9T4>G5vbu2a?>B-L=cxNv3mr^>yNPP@FNr|KEjnbk02-U2&sH~oUO3u
z_NhJI`Pjq2+#ZWB+M{i+J)W+!hvrm!Ocu09eYYKa3+-?|)()#Y>^T414#nDb@Z)kb
zw-oHKXM!CT|F(r#n=QJtZIKsli>N2Ia5u8W!;`kSw#^o&m)PRqSX-zL+hA*>4K}^A
z0bX*{f#VHqpnB8>2bFAadVvkDjkdwV&(?6SwMJB$HSz<j(PL{3@$1%Da@ZRCm^E(C
zwML+%H7bUzAX06G^{=gP^@SBetgX;}#R>~Ftf0Hm3K6rd@J-wbN*^rYP-%&l6ick}
zvxKdcB|5nrl+r;<`2J@J!P%BLCvJ&iz6CZ^T5vfr3rzO2fW4Ikgs)iO-a!le{LcbL
zvn}vT+yW0im_xkE98XfsG3$jnVyw-f%;mTmHOz5K(HwGf%@HSQjzb^K@Tb}gfp5&P
zKfnwEc4mmZZie%kW|+Cj4E6KP;4#_^N4`A7^!kVBOn->T;D@;D@DRIhKE#aU5Ak)&
zLliB3h>)=lVg20{7n@D7H_H^fa8t~2HpSRGrVu>M<=s?FF}T7M-4jgF@y7%mTt2QR
z-vl3GOz^|Q1fnJ;m~h?%i}siR>r8NXnhErUO)#(O0WSDIK>YOw5LJ4B<I)e1+;|_;
z!|ucC_I-R;xsS^e@1w8t9`xew;hX6_nD4uXDKqaOfp3h%uZ{7~)))~-jB#d>F{XdN
zi{`Am2z0p%eeJtYS$!9?1@A(z^bUG`?x5=O9pozB!8<7q^|z55avN1fx6!L|8-kN=
zV|KR@R1%D!Z*GL314d|>V}u!>4WW}^h-fE62x%GOn1UhqUcbfVsBXc|`xZv@ZgKN|
z3*V$};ZDO%h=tvR$DNy;?{O2QQ*LtcYy-?rHb8~70qivmuxpV4#{JMoQ;t5O-1T97
zULWUq`cM<s$A+34SQdN(^9?zu+`!UFH^A$;4%JuJp>1^?W{0mMWZ`vGf4>IF+-unC
zaSdj=*SL84HB6GchD&u<kri?k3+`OSBh{<;Eq@hP2d<z$^$O?5T)~&)S75sQ3MT%&
zjM(DKIOuyBBUdjYT<J2-jJu2(?Rsd7)kCP69_}2}!@l`?SU!9S<8m(HxBDdw>Rv*}
zhD&H0bqQS!7x6LtB82W=g#6x%*f8rNPJX%o+jkf6#`yw<buNJD0*u8kAg@*z(?fN+
z7?3V%ck5!)3|&MFo#%3#=i&Y2JZ9>g$IEr+!4p5v#Q@LYLg+b+Ha>?$wR1Q(^Bkss
zI*W#PXW{E|78lQ*h2r|N7(ePPzBK5dE<y)c4|I^UUk9;sIegPba*j4~JhjnqNgKmV
z8<WRsL#h1?uEw81pye5~X`aEnrDt$u<TTPsPGiE0)6h3KjhgMJv1Q6>#1Cj;S(+BY
zoV2h?TMKFHw6I@73j_71U>|V`YfMg|P5l(y=AVN4kCPZ*a1u@4ClPV&B+Ry+gx189
zoZoN)3a?LKmg5QTJ%0j|)}6pKi4$1Va2y*Wk3+-sIBp(1j%N#xBmdVi{3|+!|NOX|
zy1_AIsT{+EsmE~X!%^gB9K|x%qj1+f3JJxdFp)Wmf9*$Lk$42-Y>yz|#1UZC5wwUL
zfn}{G)`n}M?|~))4`|~2LQSmveHa2Ihf(w5Fye0=hKK55n9Vqho1YKia`qwUc^$%y
zD~Ir4%OO0OcnIPB8YoKBz_%wFn0H<SM>cA}RYn7~9S1Qd=^$>{A4HzkK`dN%5cZM>
z@uTSgF2)|<VqOQJee3}G6%N2q<N&1V)DaY+jvWux@#&B{o-b9$Apv#BRqaPj$bR_U
z-;Wyy_Cs~iek>l@2buDH_#LzlAMWl$@4kKLo4*eqf9=KJlD&`%+zW*}d!fE}FYeCU
zi?E-2&|bU;vjX<u?Cm{>-m?cn^Y-A_Pc@_#t6@%n8XRw{L3pnk?$1+$z^~n~F4>Jq
zfx8iLXE#*$?Z$`syW#PB7j~BIf?)72q#N&orTQ+YFWQCqe^v3XLKUqcs>peuiUbW+
zgf3M@kf16;YIY(vVkh32?L^&?o%pV>6Vt?YLZxvBZpZH6?5Q32d~yfYuiF6&sU4_m
zQ^DFK6}UO5;IEDf7n4>&$2b*e^=?OJ+IC!V-Hv~kw!?kPcF>gVXc$t4Rkkwz^H#=J
zePtx5D#LiTGE{$T!_1Ox_#L<nO~%`hePA0Bmuy3X;5LNSZbekoR-{;NMd699=vuoK
zBBQrrNyio(PT2yx$6JuCy9MG(Td;T17WjPFjIUXnxm?L+#2IYH^xd1`Fn2RVe=EVP
zTnQ4PN^mh%!h$18c)L;wrzDgh*18FCuQuVl<0i~GzX_e#gz$-*aQ6eSKO0!#1B|-`
z{8j@7=L4N14DD46JrN9FEEvR2GR!1~P0|eKx)tG)riffOMF?M2gtCev9A+w_>H9{k
zDcuOCmmBfbWFt-<*@%)=8=*34BeL56gKFx3sCNDj7xeyvkn(?cG5tU69NvKM#TyV7
zyaDG-Hek__4fwcf1Ky6>0N0N7xbb>DG`RCIo48Mxu2fl%g|pUU{!bp3l=HAIj0Y8S
z9<)yIU_w0Z{0R>gy~M>b2%Dc09vTqx)d-Up5-tl6^6J)MY1}%v*sp`gxpla^X&rt{
zUI*jPYaw2^79N3XvGT!MlxVJn!Rob`HF_;7y4Jw{?HcU%Tmw1%HE7+v2Js8lz)@fg
zuGO!GX8dZXIIM=E?rN;xvKkwwt;V+DRXA9>3Kv6H!ODCU!cMM2)%sNslUoJwSHd`F
zB{KY0VvO-hoI11;Nh?=klGIA>Gf)cXf2)8KUJ9r&P=MxM1+*+yz-18y2)3-iv*Z<k
z%L>j;SpnCbE1)`W1;qX>=f<@hPvV#3jN@{wzqlL|l$Yb@%;o6#wG5S2%TN%#40(3T
zP<(C~>NYRqVvWln{9`HRR4m1g$fYo_S&CqtrD)x>6tku-#kt`nh$~wHv4|zmvR;A=
z?Il>WX$joqmtfTJVpx<d=B_P<gY{xe(^-s|O^cy6buos97r~=^5mX`<VZ>$;lFu%J
z@#aNPp1ueZelEm7<wE2}FGQIALM|7z5Ek1O!g$s~-2Srw_i7iwDt-YxoE9KTZvl#S
zEWoFE3ouP^0o0o2!y<V;-n-7{VtMm%V9$I6E}4%JvH3XOF%KDU=VAG?dGIxw$N3!d
z;J#`erc2L5NdH_Y=FCNv|6JTOnTx3><|1dqT-=#B7i+%E!IzRbNDiL^OPe`3a&8XR
zY@GwSS#$97&unzp%|>0~Y*aXNxHcR0YO~R^WHx8R&BpkySy=mS7LNJOg0=B1ygo7u
z!!!#teirV1nu+}4nV1ni6Gk>OQG0GCHf@`U@Yypl>)#A`HO_#1$_)6q&%lbCGmxP^
z1IJd*!0$0L@M2&(_U288Q1EoTHlGgTGt;p}X*y(POh^0gY1|pHX?Xf-8cbcMasJLU
zXzibdBMQ@?Ic6G84ot<xys0n_o(flssfgE}%KfjWLUh(t@czo<YNI?NQ{?f*Lmn`c
zhm(dpde_KfyR1AyKTg4fk}0r^n1T_zDY$!a3jXbw0-J?XFhy(%qB|!;?fqnY^qUM%
zlgZe5YBK(@$w-|x8TWrrf=c})OiZ4H0ryGBxitwP8k6vN?Ib*qn*{yO6LF<%BCbYH
z#4X2(FuO7l?rIYevuq;Dq$c8f{{+m<pMXOl6X0k)0mbJhKu%=>PA!;#7|{uk>>7{r
znd4F5KOXDM#v|y=cue0i9$vFKD#-Dza-eiM6#B|>XI<nl>XaN}xf6a`GvqM-uPjQM
zWa0Ei7KgoMG4Gx%z8{xGsiG{Rr^&+Y&p14690!Bf<DmC!94;D<!<FOXV5B$>*3-tp
z_s>|oZXAo2*JB~!Jr=xsW1)9qEP~ls^iCfOg}*W|Zk9o5nhcis%E0!43_hNc!Eq%S
z6wi{uc0n0rwn<~hJ86`^kj5D^Y5dTZhRZf-(0pk$i%N6(<T2QsGX{Tx$KZ|i7?@ue
zgZ-*wIQwP{Mx@4|ad0#;ibf+max}ahN5kdXXguD}(bXI;$JKw8LPnJo8WW{3;x2`G
zx23TEs1(dMO5x2kDf}53h0QIaV4pq;O@5=W)@&4<bVlK`@+cf#I10HEqoCL?iNpd)
zP=q92J4j;3HA&R(m&A=Vk{CNd67j<lI9V$J=@bcMK9#_OdlFDOB?0lx5~!RbfnX5{
zm~@NdRIWI-g^EMLUL3Qoh-2bDamcO~$N2H$m^LhiCADH){$324&%|JKUku(_V#wVh
zhM)7quu@zMm-|E!T_B1d5u(`cBnqz^qWF4H6bE^tNSPwa#WO|V)+~ZC86vRt=cpye
z>xyvkRS_gD7lHa%5q$nE438>dY)ulzS1)0N-4lkcmN1rV6~^cJ!bq18hRc8ut`rMF
zEk+2dU4$^*PzcgTg&@L&ATUb^Lc&5A)h&ogd4gCHE{Ls;f;e+S5SAK(h+Z#<)~SM+
z@J|5y+6C}9O8~Vm1u)NE0Jp9Rpjcf1OGy9@Qv~qg=Ra1E{*T33{bRv<{;{A5|5$Y6
zUzY9vm-Sry%j8!7WxIZkFo*OJ)@U`tXzvJnI&p+aHUD8&fq$6v<v;BC+CPl_`OUiD
z|7KoxzuA!kzuCO0zuB+$U#ubY7t6Wvi>3Ydi)9G?VkP-MS?`mdZ1l08OmXf{W;pPJ
zy@~t5q>X>Di`#y%ve7@-wyN*!o%eUP>)dzNvf?|t|9zM(N*`uT*2Bzu|1i5CKg^Um
zzOgys-<ZtJZ%iED*eLODY;x&Ww#xG>(>U{$nJ@jy(!PFS!f9XF0jn=8a^Dv=Uj7TS
z==jV8BR(_hTc4S{(r5Nc@-sVC@rlWLe`2NQJ~7XgpV;MJAKC8AkBl5XvZb0F=5Xb~
zA+|elh+Q@rVxFo)taSVklWqCHPKJD73Hl${Bz$1z5+B%~az1<D&1YkD`7CHPpY0qO
zWZ!cJS@e@ZW^iJVZCy0TrhOS;0%-$m$a;YF9T;FAW(=^AzJ4|-p`R(5^fSF({VZr=
zKO1Q4V;dv-n43`_`@OY~U6Scz-SxdpFQ}LOx!%j%SubOfy^LSk!(Kk`VOR8e7#HYc
zQ$%{$zmje?^t7AxpYLWL*K{)hfo?Xnu!|{qbg^qXT`X*67yJ09lPTqOGB4Lo_V08j
zySk#2_5JE#S8_Voh;s*X*Xm#!mv^xKpY6;)yPchPZfEPX+L`q7cJ}FK8*9mKV>Qlg
ztX`{)^(=2=|9-Wy*}1K3k83NlIMd2<6k3_wNDI4=-@@|UTiCj@Ei7zx3tKAC!V-&`
z*{-L}tY5d8xll9PA=1pm%9~h;ZxefQxrv!<Y+|~SP3&k*BRd?}$WH1vva6dLnXODC
zi*9OQtzivJ{!RlswWEPWPHbS}UG?l@Ts^Bbt!Ml8)wA*$_3R|Sj(tn5V{W!}Z1a&i
zHoUNoB@WjzldM{H(505G)~;ppt83Y4!CEF+TEoWr*09-EYM3IcVW&seFsFuUmLFQp
zr0-O-<2$Qa{N!pjvA2pnd{xDMSXMEkLsd*@K^1fRR>{_7RkCK6O7>W%lI>Yr$tH+Y
zvhIosmf>H)g7hnx>(&b9AXmX2ca$@qxN??YR?eyqlrzD3<&3_Tv74D?EX}2ijXPV$
zuB<C#Rib4~xw@3S4Ju_@4NF;>N-4WAxs*xum9SUICG4_o30r=wgneIH!t(zVv*4m)
z=HOGz9$YPEca%6fj^o>lSWsLM%QY`zUp0!@l7&U=;*UZWmsiNdo)$7~y+W4H3fV@P
zLYB~4z&6AdupF}jc1ojw2`nsNVL$SjR(?L4@hqQpU(RPqoAQ~<xO{fIBai7O<gwFM
zc})9A9=p0Uk6Dc5vVf9YR^*q<1PpSS;`UtjaB?my@6TaN-{dd{#~k+SbPl_=Hiv!u
zpP{P&s;UdZbR*r3bcl-N?jj%}A&3YFB4Pj%DhM{xUD6E_QWAnRDgu&<*ovZv9oX%!
zsQ;UJJKxze^X|+&_rC8tXW!Yg9OHEO-Wc&Uk5NP97&)#Vqd$ws7|&*u4qqIl)n%h3
z6Ff@4EJo?6=qTNOIYQUZjL@Bo5qiFLg#PG{kOJoj+06`7RLd~+M-LOb%P_gA4^!K(
z3nY5w0>xBapr89L&>@=(#3Flv@;?mGvf&|`E*PT3z#&>`Hbl(ALv;E1AXW7ZQdGtu
z`E47djRu3Xo_mm7W(R27=>a;JFhB(!12mvJK%bZgNaxOZ+S_=Z1|rXs_=fXzK>a*D
z`rS_(uJzN^ntpOQ+)qy(`YBwwpJacWqp`_zbfoee8SOtue{9duW%+Yd^W`ihPMoE^
z<!8w^^ek;(bC&#N&(gt9XDDmz47Hb@q1li#BxHSt9A(Z>-p4+AI@(82+DBy}eZ*<q
zN8vJk^z&mcMUM3ne_1cp?(HS(HNEsvwwF$P?ji4q9#T2pL!ZNX=%Q^8on+)O<b3O<
z_{naHs_Le=gWZ(n&`ouVyJ_^lE_!#hi{$IN$o*&+l{$CPON}nVf1OlvyOWrkJ85rh
zC%ty>q(Hq+`pVu(Ne?<`aYqMDq;$}MtsSIm)Io3gJE-$nJ0+ZLC-0ngvJ7aaCFbp<
zEYVI1?@yEJ=xJI}cAD0Pou*xOrzv0QG>!jkBbIAzWL@7zIgxGj(zT6N>$XudTN}wd
zXr<haRuWBXrSk2qq-WYnmxNkr&+AhpJ#>n$7M-GukW;k5<`gL_o}ynrT4?5K3k}z|
zP*+q7wQg*ocD)wr=WL<tbItU=r<p{un#sbynGTvaQ@3O@{r%WPju)G#zN(41jx<rI
za}zz&Y9epeCVFzek@j>p5^F{yRr)rPwOJ#56>p@b4<{Kp9Vcmd)k$JGa+2;lpQLlz
zC#jb0Bo)p!P<D3%<z+Tdg?|HeSTxX8=?41xrJj_g>dCFHp7NsVX~w;tG?&*?G;cl4
zJ*%TN=j*7au#WWh)=`^X9hs=q(WO7N<TG7M9H(okEwz?*_|%fTSuH)5sHK)qH54;h
zLteEtWEoXMdLA{TqF+Nw{57Qh@&p+SonY|m2@2SMg0j|~paIPj^qrN_|FD`OdaG$F
zr<zoES5v~8YI>(sO<NYKX!=eSxu340$7xj*>Q_a)7FE<DQ$-uUR}%O2N*Zpeq=dvu
zTDPr|l(3S1i&xU@rwW?5TtR2+E2ulRg8IBFXvDaJrbQ~~^ZVl@cIh~o*B+;^=;L(C
z^EiDnJWeQloHE~))BHp^In<O>Z&W#HdzMq3VL53Ems97vGFo%7jGok#Q9^VXE!|v3
zPmRjxxJVgo`%p?clcn^pu9RkCOR0ZLDb<^nQn7d`<$f-q{3|6?(O5#K6H91vdkMWW
zD<KJ)60-SGOfff$=|XEUBmbtDHv1P-msK%|DHT)1pCWp9uZVoRi|Bby5$y^tqTlvK
zl%r8Z%h-!(`f(v8oG)bj{tD^8gN1b7rI6B=71Gv4g+y-(7@Ai={Ivzd99uwtwiFN(
z77(vg0m*;QC*zy>w5cth;xqE8D=?qlugNDp)qFb0l27Avd8E*v$0&i6N6!!D(FWH%
zy0|=#)(Ga&<#)N{F_}y68geNmF_(0Ga_O!`E~P2t(&|4s#Cbo5uJz_nRY49N-j_oj
z&N*bUG>4Wh$|3c)*`#_Yo3tCU$v82a9DK4Vz%rXM6tk)KZx+oz$Rd@qS>#)sMW+sC
z(O=gra$Au_UBX!;`ze!=&y-33S~BTqdL}UiWm39rCMjrSQXfYqc|JczY$M00tNIx2
zjyXm;TaVEfvtu+QcZ>=aGAQhR25mf(L6*fCWN;{h^fqSDQo{@~5z8Rkuj#b)W;#W+
zr&DcqI^76KCl04{veZkbghlCe^<5e%PNmV|<}|vOmPY15X>`gija0PKsERv{R9~l3
z+e9i^Hl#A<qNx<IGnG`=q|z<5R7&MYC7Ty1#6Olo_i9t9IU$7-eN$-X>J(b1nnEkt
zQ^@dnGOZX*CX?D^TAh$g?!L(sx;mM1Rg>u~dos;GPa>tUB=W9HqMF1c`skNLtJWk@
zxq1@)<xC>KSBZ3cB9ZJ*CNg+0k=6z#(zIP71!yM{3tu8tzfB<9sRa7bl0ePJ639O|
zfwY|x=-bi+8WT#O<DcUx;$}SU=!_?){CKiD5Km?s<7uUFJgt$6C%0d5wCjExrJReS
zmhw2d8yQDDTjOYzMI6N{$I%399Em-TrGT+m8mW&ZwUk)O42-3}_OY~2H<msvilzM@
zV~FWS3}tu3kY;`iO&o}!J?=3iV;VzOWMU}!Pc+%iMU&7_G(D=0rmpyC%Jz$<eKygw
zMJt*d`JyTHK@=raM$s{!D5}wjqKUVW^j}*fL&G8|&Lol^{E47d7b2)9F@lWkBWPS8
zf_B_GN_@pfY1r#1B`F^z_m|;h*c?vEd&5b_Fr1WrAE6b4N60nd2*ueQq4NSqh~xHQ
z@+>(_{oaR3SM@M8&L5%`ZHH)b{~-#7L!`)jh#rm|q?73fDaQFA`AHrmkB0}yqvinl
z1s<U2r3a|~`+mBAZa>M!?WaK7{WL1DpLFl+qpGrfq`YGvwQ24n`;TGtr8|roBElGJ
zj4(3c4I{A|q4c*Xl)iX}(l@nGVtc=r6ub74?a{pyxoR&B^6Vvn8zB@_974CYhLEjB
z2u*$nrcFJ;^er-&%B_RRc~LNl-q}M>%J)#e?;fhv-9yFSc2i0JZmLh%O+ya5>6O@S
zl6km`JnME*{hnRKWVDNX{{_+Xco4Z|1<_;oAUdoRL~`?ibfrCz(!vAD)hdv*`2&gn
zP5><&51=1A1L)t<022A-Pb-G~X<NEKmALxTBYA&X{%R*>o!&{mkL;vStDW?Xe<vkO
z`;k(WA6*ReqsSG0wDPYn@lE*B^K4(5^z@~ERbM*$!G}iseCR=(5B+oSp(T<&6!2sR
zwKeY`)`L4}hs6%M%DaQs+}Tc(mD|ZPXgmEd*iIEp+iAn(HWDe=Msr)YQIGaED*L{b
zGKRKNYWh~n-MEz+l(*8wci!~9*PHa>y(w&+Hw{aBlfsKFlyrIv{XV*d!fmz?r|1@{
znDe4lO<wfnfETq|deMPJUSvD7nKbG)lSt@h;xXGy{5+dU=8h*BRC|)=9#6_J^`uK2
zo+NT}6ZuzcqKiSB$iR3LwXkiXW!F7usN91#2YL{zkq33NdeFXW?qpW(P9lNs^wrRv
z9<#dBy=xn3wtOSK3*1Ot#v4hGeIsqV;YJk|ZuDxG8<D9Sm2<ig_ia~-u68BX5Le13
zSJLKnrE7OxD5lPZXrBwQTe{F)0T=3--9S}M8>ry$1}a>$fli2RpfgXMY4)@;@kTq-
zYDZ^Em35|>`SoPjx1P$A){}tSdP-MWPhwx3=;V+S*<?A<=PgdupzA~d3+u>WavkxN
ztfLS9>uA<!9o^wrM>Dq_>2-}GvF&pttyPZXDeOpvj~(b?n*%M4cA$)P4)jglf&AaE
zrI-C{X>Z0_;_zBabvkQl{enGlUbd%+QhUk^vZo-hCkI}8GQDp{%bV=TAl!~t+1t@(
z89R!8V@s`PZRvHIE$MEyrK38wbZ5baV9JJ?%56w(j}0}O*$@fX(A~K;6xp_h^kUY~
zoAqm`U3m?~f3c>mBi6Jg-<nMPtjW;GnuyDq*4<l8yBb$hUifMnTf3TA<yVva2P-Nc
zw4z_xR<wPG72RH8Ma~>nG&8-5cAZ>B+~KR}^x9RlLw*%0ezc@lLzZ+V*OCf-Eh*B-
zl0vvG8N6vhVJ#LEA7w$6>n&(}u?7A7W=<<6%;`vpIZf^|C$*L4lqO_Ozn`w8{oO0+
zSMo|q@mxuZm#n05CPv>)Mw&{U8GSm$$S<}xBS!d>4u2x@8zJ&yNd1;TBF2ZJ1&J!3
zB29K9F{L7{^g>EmiZsiL1k*q#8iB+kfpXUaNvi^59c4<^mrdzyg(;PVnUdQYQ<9c3
zrC0AwXz+pwohUG&tUwb=GBcrMVH3)IVN4BYjA{IsF@4<5D63**Oxt;lsd3JT7CMZ`
zJ=uuPZ#JSO%Z#Xj-H3E%4C%}%LvoHYq^}zdsZz&~+?WkX{Eh)VYBZqEC<DrIF`y%w
z1{Cyn1^L}vK|u{G=t#s0%5`2r-Rdjo>4H8<-_R$|dVQ)rs!#u|*Qbr@`ZTbxoR-~K
zPA&DzX?etQ8ggDvn>3cwpFhj!<jrN|eR3HoL@lG&F3aeg)-oz)T1L@#meStlr4$sq
zl!D!tQpA#_l*hJ|x@Pp~QJWr#Ch3v0mmZbq>(Lu-J+gkZgc`e-kYvUZ%G$AngiM!E
zncxyy`cjv!^y||8JY7-?(xt~1x>PHvOJN^$$ZkxBw99o!Y@ZHs+v^aAvJUb8r%iI#
zw8^kun>-@5DZy2n&gy8>FIH_@bzh6}+qLLpiWa$U)1qNxEdoI;I`>kOtOqn{ra+Sp
z?$IPUYfYMx)1<_28e}u2L87%9^!lg<jk{>jDIE=}VAG)D2kKPTsm{<PbsF$dr-!Ic
z9AfHZ^iGXJN7bmiT#Z-{sF8=G8uhBFk<vd^%AHoFMQy5-ldMV#+f=E`M3r2HRq5}%
z3bhTZP*9l)>Frmc1qT(np{7Eo|1GBCyNfCH^kRxnT}(+k7E>-RrUtRaH1=MZ-i<4h
zT$M7p9Z{yD4a)RXN12Q`lqqjciGKAeQ9zCoJq}W$?W>jOt-KON{Zu5G8;Ug8q)2-b
z6iL-vk)9bVQnRokMZ8s@jbjRATB$&4M-)iLMS&!jD3Cmt0_i@Hr`6}=$*(}3GDGBP
z$WERXROHG0pB!b}lcOgca%6r?j_Up8NMe;7Wy;Bs;7?g9xgkqBEwVJ8BuhctWl4f$
z>9T|@rGAznrzsgyXpo^Fu`)F6B}0S8GSn_2L(T7{sr8~XovD$gD^b$)W|K4t8cGvm
z6E^L8D@7gSQuM1@itHk#sM<q{SPi6Tx1bcwy^*9%<B~L6ElK{7lC<C<Nks;dL_(4@
z|5k!3CnRV~jRdJiOVC$O3A$_~LCqo(l=nfL5+=ndvR<5`<HRY|Tb#;3oO&e0Y37R<
zv0oD-lV&m6pDadwK4QdSAx55ZV$}PeD9PUurSx`DV#ySx=pa$zv=OBO6;aY<7Nx0K
z5n|L$BGp0>nhg`7awie;(-k2j9uX3JDNLV+g=wZzm@Y>M)7U0qnlKWk8=}JW?2{1v
zy&^<P%|f&`MTnyOgy_sFA^M{zL^gi~sr0@eLsJFGqd<^G!UV~9y&!ciVIUvFe=R`n
z;{x=xMu3W91;}cv0R1EZ>XZ?nL;o!ztLa4~*|mti<}9MSA&Y3laS`?EETT>x2EO8_
zkuiRnuHmQ8vHT>qji1a{@>7@`Kb`u`N1yKT5%%&?W&t0)-p5Dw8~CVe86T+&@=?`$
zURpfGOD#>jWR}WH)Be14XbmqZsqxYcHeO17%0qS+cu2U4hn__7P~R3FDk2_=lI5X2
zzq!e0hMTtcag%=$Hyt?0O=)i2)L_6(Q=;7T-xn^@y~#xZ?OfEH%|$;#xX8|li)!?^
zh(myjLf&)I<0($s)WS(K>72BE7bktT=cE*EPSW7zq$~3rbo3GjEpOzY4=Ehf8Nfl&
zwjAW5$w7MD93=djofan8>3st`y-a4OSN`nu(T1IvG}%dlo1F|_v(e^@Y?OMEjRsQK
zXd!@&%<b4HO^b~l^01Nd8&)crWF^*SR@#@&N^f_uQjh~Heb!~A=tZm~_JM`kud<L^
z8w;^yvryMw77BJ|p=J6k^h<<=E`4RDs@u#I-OWsXh0L_!5Hs0$Fq4%jGp&(fCg%kv
z@|k6#i1SQTUcp48(M<Gp8xuqKnP{g96E(3j(YvXCn49$v*KGKQ+~WUm=I&qYEB%Z0
zTmIq+rN7wn><^CC|G~F`e^6=3AN2XOfZd%7D1K-G<6!}r{{6<Z3%^k%@i$J|{>Etj
z-?-}fFBHxHg<sr%;bYlfIQ!^7d|C4!{`3D2RdxSEk550bwCg9nIs6lC&3<AR%TLrB
z|A9SeKhVMH2YwR$fhX>L#~sJN<FXy!kzeCG{&@QhKb-!CUk`jkPW*-%%-?Y1*jLO;
z`-*c;U(rbXE0*8?f<jeaFxT%3F4p;igP%TQP|s&niTI53mY?xF*JrG}@(Hu@K4HeD
zPgtb*3EN(L#5>I&ktggU+M9gDl7AoY`{)PUn*IUrI)6YfsSo&Z?mcGJy+^a%@9{tV
z_juvgJ1iP{hewm&;qG<sFi89z9-MuPSv7C5C+ID{S^gGve!ao)p*J|4{07aP-e8Z!
z8-%%eyj(YrL3`#=!f+n1{dtWAqpvYA<2Bm5zD5(d*SO;OE2NfJxMBY*JV39oj{Oxr
zoqCD71urpv%S(K%_7Ximyug{B7w8xL0{_{(z*?af=sxotB~LuZ=RwbLV8wH+`|}J-
z#-3qm<}*C${tQQyp5fd1r>NBV6n8{C#dhnbxJd9R9=P`e-&8-r-MgOPg259k`u7+u
zE<VN|Ighb#^J7d_dyGCGAECpUM`#)U2(26+;ReY^82n@o3!CTg@_{*AWHE=EdFQa_
z_Cr*te2BS$4^h<MAy)sJMZ7eNPxEH6(0dj)YR#g`w+HxV-~m2OeSo)JAK)#;2RQfU
zKK|&wk210MajnCBOp&~gH=oX+X6p>5ADO}5t7q_l&<y^4a1V1D?xFs^d-!POJuK$E
zhu+h7aoLHxC=h%Xf0^FJPaJpg>y2q-tC&W`plP%*n#QB7)7XFY4)T=U!5#j0aAL(B
zG-1AjJyW;QqU1JC``yOF`nOS?={7#Td<z?jZ(+FKE!?Dk3s*DULY%sZD@$&o<IbBH
zu;M0WG2g`DD>sm(>;^gn+`t;c8_3Ca0}oukj-QTS$3wfWBd_UoY~;L-uD7ot--&B@
zHRKu|XZ$OBi0>M1nYoHi4Oh|ez*Tg&x{7;*uVUt-D|qhI75sMe3Yywq!8EBW`10ix
zuIrw{;rJ<BwP6acC{3a7$IHkya2dNZE@Q~%%V?;5899GV;<JfKoGP5eAwPy0OyXs>
zNql<q5^|ilgeyWX;U0@i*dcfc*&bcQt*sYvBJv`F<3&6pcM+}LP2kMA2@Fr4K#k24
z_(*#KYkrSo*yK1mmX70!pm9`%aa86VN3Hu~NKIq7IeZKg?Z@z}%or}b8AY3OqgatX
ziY#8E7@|9hum6nTo+~5x_xK1F2an)N^AY?cID)4h595LMVYH1KMs=5A6jB{Vj_((c
zWBdXN6<t8}fD342dI9(GUcjaYL-@XB2r+61^PPt9Kcyk`|1yYAMh0<b!65$FIfywX
zgJ{e<h_4?EVC|^^+!Z~5X3hgBqcVW3-_PUs@$>k#_&ojzI*)>8=W&VPdEEG<AJaPf
z@ls+xihA^8fObD#{BsWVubsn&>T{^E{~UI#Ifu5==kWF0vzRw<7VUD*BCqdRWK`|K
zW}dT{F?$9Nx1GV@xHA~yb_S1Xp23`jKJ2*KhjZ0^D0ZL^-E8}?TDA{=e&|Jy;a(gm
z=ta}OUOY>^Xf4!>51#el(cT_ZPw&A8-aS~R--CXfJqY)^QM$Do+2XqKr&~Av(CTLJ
zY!`~&?84>sUFaF!g~!%);pE~j6#3bSzLz`kLS-jv?(f7B+fEdh@5Hjt9jG(jf#ane
zxGSUsWmb3KZK)0{e&3Eehud*wQ9CN{Zbt#jcI1#~N6xpWQDo>eY8ISE+o01JW_}v$
z#ZKdk`8L!WY{S_6Hk=D=Lu>Ok>=A22{Wq=HH`t1{1+Dlrs1=heTG2qF72mx*g{>D(
zVR+FgT)*cOF0(p?GSa6|;A0E&kF}s!SqrL%w%{t877UPY!Q!vYc=J*-N>nwY@4;s5
zcW6chm1a!))r8E~n=q!n33(!$u-v5yO|_fwF>@2<+-*dM)<zUgY{W;K8?jfv5leU)
zG4b(9#(18@@XV7K?{^Xl=_GcFp2V3q4ahUxfL0|9n6$S6Z`m}UwqgUO|ES0BSL!ja
zt{z`S)MKz~Ju>OmV+mV5nmwq)w;gqOBCQU6cGRIB)FG=#9X_6~#fb~G*jG}E9ig?@
zV^@nK%C&g^R}KEYQG=>YHRv8!gN!q4@V<TxYV*}#{Ie7I^4tmBkbeR%?mmGw)+g|~
z{0ZFgqZ<ESt;Q1#)wn*U8o4%A<HhCGn9Ey@JD*jdReu#~6;z>ga21N!RH2ws6)OI!
zM1z}^xS_cck0exL)0RqnZd8dHLY260z5*`|SD<Ej1!f<pKo+M8#(P<TOso}{@!&Wv
z?mmteGLK_mz;TpWbsX==9><dJ<+$@&IZ|Ue%Ep%?+m>?tW>k(Jgv#;rn=<@6T85&P
zWvG9o3_V@SFnviGj&YSC_tR2z?Jvc~!cyc4Eyduqr8uWnitfy%ICH-QeY#8VM^*{u
z29=<(bqT&uEWz^M#prdX7}ZV}BO`wTZ~7Huk3}(_kS)fdA4OPjqX^4eim)ZQ2*-95
zF|x0VP)NE6t-cjv^tD19Z7M|Jq(b!HUWnsVh<Z|mSn;(0C9f4=NmBu;CKX`s_5yS<
zE5QGx3b5{5K5o9Ak1{R!_#`<W+kNse%{(7>$>yWm&pfofm4{Ysd1#ZKhc5nk7+{r$
zNs4*cvXF}p?&hLMS1xYI&c)K*x%k#L7gww0Vm(VP3eV+W!r2^TE@I%m928oggLS$&
zxQZtSU%$x4!r^RmtjtFKh-|#=k&U&6*%%>`jaxou;hL!|G-=F2{iG~3@X11Ri!9tA
zpM}A{GcosWCJuCE;@6x^To#gv2OKhSSSu5yxH9qJ^J6%B;TW#1Jch#&$I#OA7+y3!
zh92U_@Y9zJ%)Xw1CaoDbpPqpy0yEIZCIfZVGVm{J2Ht&~j%Nnav8Fs73&PVe%Of3g
zjMA}8EFD|Fq~WFOY51-+4JD7Iq5ZBjOteeGiyCPt%9(~cpQqx5;Z#(uPQ~o#RAl!~
z#Ta6sEW`hmf~xmYaHuB*eG5`hXnzWhZb-qH<teyYh~a-s#%EWOaiAp`tJ9M)BPbc8
z?UFHEGZ`bfk}>6F5|)i6VNY!m&cr7nn@<uNu1dlX<s@upPQrypiRd_(hz%8q$Q_l4
zp<5F1DJ9}&xkQ{@NI>5Q3Ha@70%nvZpl)~q-rAIaai$4qDxHA;{TGh|_u?_5FCKRk
z$D_sJcvSO<M-h{F<dTX<w*TUg>s}m+_Qj!kaU5D6jzeFMILtJO!y&0S{PkZf!b~j2
zpNYj=C9$Xz9*gOovG@gIal33R-d%`6x7irH-yehi$766IG6svhV-U<^81H%v7Bk1-
zh9}V|HXMx)PefyDd^9HcMx&o~G&-n9BXC9I_8U>?l^2D6Zc!L18HKeok$Ar>5*588
zai3Bo-gz2<Yw99!+&=={v?K7#yQ5gqb`&>-9Yqzxqqy)h9G{*I$9s|CIBOA(AKAiD
zXyOQ3q#eO%$0Il;bObeTAI99G!^pRpfeMFF^XVa+syl?yfrrpy31b)7=Y#m6>mWWj
zd=RJUAcJ2I;(wzDP$BgIx;P%dLg54W>dt<&Dcz6V-urR6%6{yBwGZ7|_Tits`>@?`
zA0GG}hBkv?sF4tc;&x#uED(lrw?fgdI266MgksL(P`v$WFRGo|iwR+S@w4$>-2FEM
ze+-9UW=aSetP8={q9NEc6O7@N!RX-^jH`7Rn{Gev!PUKca8u+SjIi2+r+D_@yKB4A
zv~V}(d+o-*i+3|PZx{Y-+l8qIccGTqF1*XO3v(xfaC1%&>U#vCq+$^AybMI1Q-LVC
zKM?gX5I3_1V(z5?oX!qFO^*OfQ4GNEFa2?Et3UpCz#lWs{8697AD>O_#1r{DG1zM-
z+N$ovrSJSuwaX9HBmB^4wI90h`(fm5U+gaT#oxZZ=(xlePkr}6nE@XxNb*5>Cm-yP
z^g*}BJCLJs2M&ksz+<oj{n&P({nU1(0)}~SM>~z}jCIvEOgpm;2jjLOi^DctFTM?1
z=C-2v$*q_kx)lX*D^{>?MY`&ZuZp~}a=SPB>Ug8k_bn(sxCL2Kx8Uy$Taa0P3yQw-
z!WHdaxb3JHmRft^6G1ODyuTR>YBwWm$YzW%-HdGPo3ZGsCz_Oa;!7V-tk(0yfM1)C
zMmM2+)+Xfh+=Luzn~?vL2P&QOK+7Z#40iUwlX4#T@s&GTb-H6slsgL9yJMO-1D|Zf
znwE{Y>hMPVV6_n&1UKUD2X45s!42j1xgnRi8~)>UL)N>lC{p8!OG8}I16?tb%N4KR
zazVu^7YyI+f=^9ca3hBc-o3E_eJeKL-=GaxW4r;~*f*f)4QHG??u^|*&RA^hj4ABS
zm~dk~W>l=l>Rsz`*knC^<XDfIx12Dz$_a<|IH3YMVG6es{=2gdV`|o+VCXt*TDcCL
z`PU))eMcN=aKy|5j_7CQh_=FxX#B_lSDbP{JnDc>b`BUK>40S~*5a+swI~_47X8<+
z#Sw+IsPo<)E6>@ZLYh4`df20dhCM#}Zil&}cIcRAhhjVI@YOOq9A~n_(^qY={<tlk
z+--|JXp7f*ZSnhz4XQWVpwD3&Y_YLHW=R{|_HqqQb+5tIiED7ebq#J*U4x&$T4T|O
zHQMD_BbSdgUe~wAI#z2;ytx`fPprnku+_MG)oMH{vKkAXTH(14D|{Dcg<39F7^-50
zV_#RH>gX!W%3p;XeycFqa21MiuEJB(mgwAIi7baLvESAb<D@Oo^^FBCKWBl`85X!`
ziv{xQS)e471unU6j_az;F+9v1JFLv{yO=pzy<CaMdsiZB>PigrT#4^>R^q<DX2@~P
z3{O;<p?#Pc{<Sj0bK+*0_=?c;3?ZZws%;^ZT}mj&LX78xXkLf7{SacN9pZ#6BHsr<
z&mq9BTtI0*z*J*Ec3!}=SyPm4GsWImQ{3WeiUJy@IQh#2bEZttr_uy1!c0)p+5}~#
zOi=o*F)ki3M#CIqbn!LD2xDVpl<3Bf4~@{Y-3X5*7~wm2BiyKCgqQyrqWw)nyj^FA
zfkzCH$I%cwl?*Z9n*nNGG{7%q1~?I7fDKj#m?LR`NpDwR(%=fr&Rc<X{wr`4SKtT1
z6{zxDA9wWWV@rlUGH=&M#!0t$kw+hCZaJRqSdLc7%W-=1a@@acIm&S?$7?goFr#%D
zy2dX<b&qApwqzN;VOfR`rkCQ~=B4;BW+{GfTZ%k7OHq$`DSF@0!{R1AoQ>8)9XCBp
z(AL9OOnT_bI3IPYX$h{2S%UZ7mSCvP5)@%sg6F4oF|0)wm&fVig1atWTcV4n*mSXA
zMhBDIbTA=N2h%s}VEJ+#?B&wI*@xQ5*QJfC)3h;pn>OAy(nj4y+L-xF3xA){!oAsA
z_-UsWhMQ@jfS4AxywOD03!2DTtck<HnwVm(i5_yAsQ*<1B_=hHty%+rAJV{ubsEU2
zu7R?D)e&y1qffIs7RISFv|1gdm#bqSw>pkIQbUbiH7v+f!$mvQ82qb-(&B2^`c4%c
zM^*8AnJPByQ$?S(s;H%+ivRsq!5cSKu&YT0tKw9!(34^Mj5e<dc0OH<*Uv7-AGwQB
zeb-{#X0;e=WEbP7ugYjMrHl==$|xMEj0tYa$fBo=$(+h4`A7**_bQ=Fwh}T0Dq**!
z67H8#LbI=mC^)5vZ)+9tdZZ!_ZdAnHrHXilTM<W}DB#Rl1^k((fC_sUEVD)dQxz5P
z%75}Gb5kDoHp}Dn1bH;|md9pedDIY=XN;K~!l)eHJT8a(4#}asvm9R6mcwK0a_BNA
zi;MeY@pq0a&hC=M32RwArznekzhrRWmJD7!C4;Y$Wsqlw3>uIO21v+Y-6v^$Hz|!&
zCyfQs()e?eH105v#%Td*beWgJnGq=rsE|VDBT`uHB86-9r0^fN6rO!1iO~a+=vX3&
zs{198-ANMPYf0iGc1gVdNCM~1O5oc931kVCKqUtWwAGNnBdikG`A{5x^oirDd~qxa
z5yx-#;^?U^j+a=((ej}f4)=+nL%tY33K7HbwPL8CA%>S(#V~eG6fMq*B3Gd(-VGJS
z(~hE;t0jsN9HJQVL<D!87r~Gc5sWw>g1OEj*uF#r@9~Hr_e){492Um73SpcI7e+;Q
zVGLg(jB|p*X#Y+K2QLbtS)CA$#0udCZy}rqAxxDNLj7-o`0TnM9zP|BThjzl+h35u
zMS?h^B#7t#3SiTH0j%s5z~lJ>SQ9FM9qR<}l8yjli?{#^zg&ctBa1M+Y7w4`T!b8(
z7ooe!BJ2=fgyLWMG3GiyemljFd(#;hz>l$O_)$WYA3It2anmC{<T}rX=S%r8;xHdt
zZRA4{13r8s%!iX7d9mXPFP>=T#j;dhEcfTdI%{6+QQ^hwEWG&T5f91@@Zh>~9!v@6
z!OI>zC}GTlf#N(k`js0sZgOMpX>R1m;>OrL40Pbe9Bpn?<Ke~&uei`}oC}5PxNt0<
z3uAY1p|vH$SK`7K|2Xl&Lr$#k=fu1+PR6x4F>w<orkQYJkt8R!{NTWgcR27}7Y9n^
zbD+aM4oum=fm6#FzAy*w{=|+Kud$<U8#@+fvLk;mJEl0YBi|BsEaYcLt#@oVdYKLV
zo7qq#oejr=*f83j4K20VkdK!QAI`I4?<H0&Ze+#SR8|ZNWW`-}thif?75DS7V!}KN
zmS1AQ{zevjmdb)6K`dxz&w|O?EO>>N1!dnd<KD~6c%_*c^)r~UVmC92I5K1A5@yCc
zlNrlDFyYc`On9k{33p{Pp?D}0jyp49v_2D>i!!0${6A=I`UhUS|ADmLKX~!+FATN+
zg{FOfp~mnpH2?eq!)N}$>!W`_e&rw7&in_uh8I90aRHKT7J!R)0Sc#ngF)7Bc;fsU
zj*I<<fV;oIvh){dZTSUCO20t;*?)lb|ABYle~_*FAKdu(6O=oDLiE9(@Xqun1pNI0
zUxt1_dcqG_VfzE-`F=p_weJv@_Z@uQzk{3XcW{054R+LggDC%R(5Ukbo_+iZI$d8O
z_V8DDNnc?T%U5_X_62sOeF0vlFVHLc1@_(h3}(kagZPfm@JIbKe17{0zMcLAoCiOF
zI(`CI=1-74_7NVWeFTH`AE8YABM3eC0QprPKz-*27}xm#`#-;jWxem=cf@<Rx#~Tf
z;eHRTSKmQ<{yP}<d<RdI-hsfYw_tbbE#&Td3-hLLVIA{ZxG??(Rvmi-H(cI8u*@5f
zelia?8|I-Tcpml`&V$pR*I+*K8qCsOgPrqh@R52AX^&pPVErp#4SoeKhOeOG&r47k
zeF??sFG0!WC3MTY1dpdLfT!sNOoYCGJkuAjhvfyhUV098InTji({u1reh%UD&!DdT
z8O$Ad2CA!`!C~HKFmv-M*p@woQJ<%<PWLIi`1S<S&OZT4dIEpeJ%LM-PoU=UV@Pj&
z3^8GkAs!z?9{XcBedQ56D0~E>+a7_3)+1>CG6#J9b8t9u4!*3LgK()i5PbR&+M6H3
zwgV4A&io;~<bDX}Z_Yw>`7Gq_oQ3RVvrzW?0d$T&fP0w_fOpdauvd8iMepy!=id9^
z5qBS^9PWdo<b8PXWCjkl%z(n78MtLR1Nr<ju;cDMU>wE`YJ2X1jLAKaW4i}BSMP#N
z$z9m%dl%}K-i24cr@?4^8gg@{VZmz}_G(VUm#=pqcJL0!r{96Gjdvh?@g1NKw}JQU
zZFrG*8?HFth70nyVR-%)T<^XGZ(?tO@VZ-IEprPJU*3e99XCNI`X=P8y$NhmHzDr%
z4OrBE1L`7gfSvsf_$_e*dY@f~*wfd+J@Pt${dLfiybh|*uYqp+HL!@f2HV$OgG{Mw
zF!AClEb6=pTVt-mdB>}uDSH(vUtfX6Jy)PT{t7rcUxDumSD^9T6a=1~0>hLk5ZE{c
zUsa~y`RB{<WbiV)Id&PCye@;X_GNJTZxT|+C*fNDBq;k#LiF-Um}i=VtyeF>lk!Ut
zvg;D?z$Iwoz69IvUIfMZi!i_cA`DtxgldtCko9B&Qcq7nR`di^ubY5D`3abRHx3H@
z<FGY-99lfbfkS&7f_{y`gNtL}UOWbm{KsIQ@fe75jlsb5C>*FC1(SoLz_n%+o`{b!
z?r{XpbdNw!;s^}7jlgZS5%~6f7?j3`!J}{(%61OJ8>3-Z%{2^7cQ1h4$qP_&_yR1p
zy8u1X7hvO?Az(Q-1byj45biYuwo8UU`QIRLUK@lTm4onQ?;!lL90WemLC|_W02{go
zAUSCOCfo-=L~8&7f1iiTm(PRA@$=9gd>#xf&cmqidD!}_A2_=Ep(m*y!aVu`wEJPv
zpL6i`$~m}Qc@8dxGR%t67C#4XUY!NLvuD9L<1B=DpM{QPXMvgRENr@S2F^E}0p0L3
zQ15UCbQI6PxzByDakLNq6!yWXz&;41K3FE$2dqzf;ZavFOeFWhS<hbRTha>`n0w*Q
ztseMR-vbKaJ>cTl19?h4F!!|^3?{lEzqA{eg1g~>WjFi~>xQ`3T_D}x1!uFmV5d(P
z$QyUTBi=4(nd^l3j!y7P>VyrRonWWe32Rw9!DG4u_BM4uZd3;hZs>rY>K$OZ&<;u0
z+TmeMJD4AChZcu+P*HA&y6>l9`Q&N1SaBMH_MHX^+tYAG?lfe6ZUfKpHdt2H2Eu#W
z;Lqwd_#(})53TTbq!mO;T0uX!6}+rkAzP{yuDw46QX{8eckwBh+;a-_txiFm)G1i}
zp#>U8S^!I0;BIgWM6PZDJ((7m|JV$zW6cm%)(jq@%|JHIpe^4FDqovG{ZbRGsB8lJ
z15L1NZ4(qJH^G&kjj-ryBe>T#LUVW{@HjU@s750^|9cX)-#!Vin@+-!*pndUaT3nx
zorD06lb}4?0M9!bpgpw#Qnocfpm77Z3N(P-i+Zr_uLtM6dhiXZhgi#cI4M;RGau_f
zY@!Y}Rn)=B19iaSSO>nUb#Q&57S`OVh4H3ZSRYpl&o|XV-11t`=Bb4Tk87Z?uLd?}
z*MN3F4X|0%zzfM5hOV7}i3x^Po`CCzPQWv#6Tqx_0yLOUfcw2_$T?jNcT%ch@%Cys
zVp<LNg{xupn=0rVt^&idD(K%=1&$6?@Jh7`(*IV1$#f-rY^{XT$(0bktrFImR)UU5
zC5XJO0M^k8_)}g1Ob07~->Cu?YgWK2mI~N)|2R~19*6rG$3bc5aR@O#4ii$xLF-F7
z<X<iap1N{Kjw%NMk8-G7UJj;w<uLoa3{nTmz`VE&{)Lvo#M&|_Q7eP}Ol7cXrW9;C
zOJU_PhWVF*tz{`}mMw)t-%FtUS_xckECIHJ5?JkB0+}Wy@I<5p%-$D6%|tPXoG6C0
zh+^P#FNT8U#h}Sw45KfLAm~C7NS7DEje|vy>s$n0x<#;*s|fg>7Q(0gLYONmggapj
zb7ZtN8GUSp!1t&CmYyvDuYv-|-CF=R))s)YMgat|7QpDke9$<P4|)0dz`Zvg64&Mf
zpGH2EvgU*STprvylLwInd9W-r58gTC!D&r~&z=V^k8?r4KNn<*bAfk%F0if71rFU@
z5aP}SmFGENK9mE#<vEahI0r7e<^b379B^8c16A|c@M|m^HlN6b@u+Mt-JA{G#@PU3
z*)Z`b3$|Rzf`!H`IFXbE8+@{W*CGop%Vj~quT1ct&V*H+nV^=P3Br3afx|u%ST!<%
zi#-#>pBw|7fn#7_b__xfAA@SQV=$wC3}l3kfzSI4=$^~~!IK#fmY4w#cVvLGMFw1v
zXW&9Q%-u_eeLd+QoSzQ8q3Ph~ln!!B(%}JbI-Gc&24UlAU|*XC+Hq+NEl&gXm1*!-
zHVv45rvlHtRFLgS1;hMQ@CZwV`1PsKqn8Sw`5Aq0Qy}(I3fyT(f#pdlP~e*atX3&-
zNI3<*F{Qwfxn$rxpA2PX$zU3u439jL;h1qUSV<%U%l9OhxRnG29Z9e&CkgEKCc#pt
zBv8;x0`WyjAoea1WG^Rzc2go)rY6F+fJDZeG7);z6X88aBIv$IfPJG0FkF)W((ws!
zct-*}vP^(=$_X&aoB*pH$HT?Jc-UAO5AUMlA<a7;maUA3Ir(_V{~HGz9>#&>`8ar9
z9tUS4;-Jtg4vtbB1jxmK*PmGMn2iOm{#XbokA;YcSSa#}g|ie3FXUoD>Te9=`!SGz
zJ_hEF$H20v7)bSwfj28-z(p|zMww!O9!Ep}P&BNrj)q&Y(GavF8hEUtp-m+kwy;No
z`sFC7%7_B3bx|-Z7zIH$B0)JX5?;ARLcc^LRNsq$g3<^m_KJWeg$TI(_$Vx#I11o*
z6jC&f!i)KEaBc~Qso-$fxI7#_emw$3Jx5^Oks}~RM_~TnVYqVPFbpLehGCn-aEtda
ze7$lAlyeS&x9cHjk~{<)4-P^|#X)$r{U8LZ9R&9I1JKxV0KE1d00n~s@bTw<xO#3s
z^hfW9GgkXylxsiCUET+r+55oEbsxk_?Ss3sVF1-((CilmI@)1y=0hlK><k5#!=Z4F
zLLr_dl%X4Y!90C0=&#=k2I6~R_5Bd=sSJT^-w?R06$0WPgJDlsFx)y447TRMaG5<A
zye9X+Le?H=blU@dvU_0Zlik48up8d*-VIOncf*VScEOK<T_B#g3s$Y&1(CwLVEk?n
z$X5hGoNo|(*A9Y%p96ujFA!>@0%5&%An@=9!u6X0P*)Pb;Qs(Pq7eXxKlnppw?9-x
z_%n3gADH?4!TRP-C@R?rKez1!Kh2%+<f9+#>h%NGXg_FJ;|HDsejq#T3-iZ)Va(4L
z+Lri2{dXT|KJNnqi9Rsr=mY!`K43ey19Iwj!0X^0;9$H12AFn$*~RTJnY|tSHf@JR
zi?_qbn{ANPxeeSSwt=DbHc%4S2GV!8f@0NHSP{4tT=lm?+=4d@jCuoCrZ;%Id&97j
zH>`NG1=>5efLY`gm|n95B80ZUvin}}xyB0y_jp06u@__Pz2L~@%@9$r88WtRhDNQ;
zaO<ll@D6x_Q;H{4Z}0?Wc~98=Y7@L@-vqlNHo?C&o1j8?6Re%}0FDL^m<siPD)N9>
zE)NK~=?+21-61T%9g<hLL*u`VaPQJa5G&XSUfVW8yUs=s{pkjA!*1~Jm>VQ-asxRv
zHyHTj3VZrpK`X@-KD)TWxS}hZeCq;5y)KX&?*gSxF3=|H0@q({fPbAEz%*t9#5in#
z+fp0A@P#v+Xm<v=C<fX)gQ27|+<vwmVot9IlgRb(*KR#rl~@lg&zzv}v=bbQbb@Sq
zC#aHig8t|0827afWTMx>W`}jqD7_BYUO7Tgmm@rkbp$UbM|dsg2r+LQK()^SZYMfG
zj*A0$Dm%c^k845b{95>zwif>LV4ym~|85U@BlfT<#~!k`+QY3S_OSSm9Yjvr!SiA}
zaQC-^yM}h)!)^x)H*KM^+7_Jl+5(@sE!<jU3k|b2klbto`@(Htmz@oSNZCO2t2I#8
zvj#>I*T7HLHDIK=24cTj!@Xf^z+7u++HMVM%dMe>*&0?}Uk$UBt05_5HIVsg_$RO$
zF3(v(ZL1ZeMp;4lIx9G+U<FYhRzdE-D(J{u1rNPff!NYj;LfxP>aJM=Q<Ww7?X`qy
z3rlbjwq&fSEFh%A0tDhM;Eam}>{Yb@{qN?$JZ=s%h2}8eZw{>{=Fr4r4(<0>!f5kK
zcp9-1_}8rjOU0EC`^k*KGiIQgX9mf>X7Jt641&4L;Ojkt_$C5{2!b(3f<uY~2A>iB
z4kO&iM>xF`q0|H+n-?Kx7T|a*KvxXF-3<U7Y5*&LnnK(qQ@BxP3Od22kYiyAtfHn6
z^}+-=`b?lG%>)d#n855(6UbsU0mnPWAaT+d-h>;&B}ZfER5FH>Uyb18xDj-g7{R68
zM)1bm2qZ*}!11LaWSudD*$hK4*k%YtD-3~y%MhaO8vtvo0c6J-fR>v9T+uXuh(9a9
z==us+s96D%hgLxC+7*zhxB`xR)rWl(`f#{RA5uc}p~gxdE=uade{Yw=ilOCjB!4+v
z3Rn)RX3HT>cscxju?!BJT?W51mqD7(GEg&F29x~DApFTvFz8tdztWb%rL9Y$#$YL=
z@GONxb9xZksRsvA^dMo29vs)#g9}`G@NsqtXm%`tUCB$J&ua+?=`VpWt|jnjRu?vQ
z=)&D(UGUkW3%~Srp_E$}tmky#cc%`VP1S*ftvcXgr~^iPI-vMO8$^1wLGYM1Ncw1l
zmZ>&a3u?oz7g|tuP79`Uv_LjM3xZZ^!HAd^sK3>O{0o}EU#tn4!I~grtqG@PHDUc1
z4fuUg16nIJV9!AfFmluY9#su^`CA>X+)#&slj?9Lnt>Y`{t|U~$*vAOvua?}sRnz}
z)Sz{{8vHU*gLOh`aO#yRNDQh%N}(#S2dhGwwJONSt3uZ|74Vo+0nS<#7&xi|(Jm@r
zucHErY%1{Y{$hC5u^4937Q>w#i{Sw*hPNV%f#a<*XpSg@TbVLs>{EuRwaOr&stiGY
zl;GlRC0Ke&391s6K-OCcDvgw2iJ%gUzET9gAw>`>QH0S@MToOkWW*vALH3UV{J5<E
z_fILn#Uuq7+^PUWCJHbqtN?Rw<Y8e%9u^;$hYbhiA;U=?u4&4H9IHHpJ&=Q&U2=e#
za?t882ilf$&?X}XE5FIY^c7h++#m}ov9fU2Qx*ygWWh^77Ia_B0Ozm_%$Lc)odYs(
z*+~W_wPfHXn+!aAC=LI5rD1WdG&t>+hQu|}Fs3980t-^G?T!?jYm)+{G%3jRl>!cP
zDM*x-0)cOmP<2%juu&2o$4f${w<K7bN&<(NBwYO<0aceI;ApJ`Y>k!x2TuuDWheob
zLK0yARvf&>#o<u3IFv<*!$o&-_@^%pW&+}nI4=g%qhheMN(^$2iou_aVz5_V4Bjsi
zgMIU&z&a)hrB$MU5u)(IT@;E}h=Qx2C`i2(ffwT<aPEW%ltzg_oTmuvGZKN_A|ep{
zK^Trq3d6B_VQ7jIhHKu!@E3%^KvEd?e-(oMYeKN7MF{*;gy52|5Exhr!AW@`Q2Q+i
zP1Ay4(kTenvIHS`w;)K^3BtIVAVjkYg5@ItModZo=86U2>;VC&*dPGuO9dc?UjU-!
z7eT`KBFL**1WhrEU~<bM_yUVSMQRaj`OXiOH~HaB8$XyG<A>rPe)wa<4*_cY@Q{@s
zJRkGH<MVtFT*e0+NBE$2BOk0a;DZHWKIr_&3;VC|f>|>!2&D4D>z%wXxtbTc7V|;_
zGcTN&<AJ(<9%wJ+fw99p@MI$oa2WD{z9<j)f98hTYuqq@iklH<;D%#C-0;?x8=N(`
zVTgm#_nZrQhPlA3nhU0)xxm+(3)s!LphcDoynb_n*bFD!?&XB?LQdFofD_iZa)QPR
zP7o5|1eVVn@cSAEEVOa}dnN~n@8JMF2M%!3;b6o8IiPW#9iCof2bGiTusfL@&hKOg
zi8btSNR1sHv$KQqb2gY9VS}|bY;Ze{4g7Yn!9Pnjs8nVHTNXC>^_UephFBr2iWMM+
z6?nI?!c%ir7*=G3CMH%WeZ&GegDj9;$pS^uEKt9d1<sqZz^oz*urjm2vd7G@bBGyg
ztC(Rvh8c{uGef#1GrU%21_xGV=zGcpx+6?*vW5wC5}2UJmkI2w|7YpSqiTA)a5FMB
zs3aPdi00JZ_nv(dQ4vKXiYP-#h<=6&rFkAT&x4ed3Z+a9Xpo|ilu{}gLPA2{{o}i9
zJ!|iM?mBm!_1^vN^StjpcRxI=0TmvW|1=)f?$#-+iJC&)EmL@X-W0BV{tpM^|6!cX
zKineo59Pc6;@`Bt_}>064k-S`&jWvO+ND3J;q(U&sQtmKpC(bDWD=d+Cb3(0677Hf
z#&4CsF~;*ZuIBtkKEB`BS~r130TY;LHi5CTCorw`7v7Bdg>Sa~LWu>xa7Xt~yqfV7
zMIC?Qg(W{x;KL7$x%vaO+<st>-VaQg7)Qt3<H&fAqq6Zh%FGx?`N!W;H|jfX+xi^?
zq`%|C?lF|e8bi1JW7xfH46R4MVQ<+tJbCIHE@Hl68}B!aeef0cg?vS0i?667@f9^*
zeL+nBf?FKFpvTfLc<u8jj+c$1$>~wNOrt0*FpBXFpHV5|Gv2oPjQbaS#znoK@NMoV
zyng5t#%q1TfS(`H@AgNGy6_PTO+RA$+>bc(`3JN}`GDDbKcK+U4|sfZ1ixG#K@ZOn
zoVR)et7eSg(bo5<6aO9scD={`#qY88!!S0L4rBZ2Vf<h?j3U#AarKiS^u0KQ&+LX!
zQ+WuJJ`SQ-`5-2E4C3<DgV-WGh+a?MAtt>;!M*RWXX!hv`#OLXl>>OodjK0v2XIJq
z0L5PQ<NB<AjB@VBciR29cJeJ=uYHT!p>MI;>MdF=dW#e9`tZutK6E+RhiKS`5;OYn
zUt2GJPwK^A4!t;IMK7xUc!O4V-(Xna8*I0HgQ_xbFnFK`CyIK|{bUbL8TQ~s;U2{H
zZv2?qjfDrg@uXHaT1>u1{rcCa7V#RF+q_0pdW~B@b>Z2YU0Ckjg+JGK;X27K%;|lF
za|&OfpZhDEVfYG@g<m0dbmCxoC#E}h;y%4jG~nsP`AsiT@Zw9HvVVy}%U|MxpD&PA
z^8%g1USRh27dWEy0%`O)rr&ywv;CiApyhKES@axphdXd>c?W(!*MY_BJMg4b2d?jL
z$K}QCxWJ<wCDyg$Lh*LgeDe$~3!mY+lh3en^)uuVd4^kFKgF{Arzr3K6cblHMY%ao
zvGi3NT3%|yzsK9~x?vlhncar#U$x@WORXq=q7{W#wc_kKt+=S`2}1r8-0S`X<BgtR
z=iDc_q`L*Z3tDjaWDD*zZoyY#Ex5n;G5#xhj9DI!af|6=6p?z2odeBST-uCL=bQ1|
z#%4Uduo=&fG+|6d6PEfnVYgKi&Qof_?Oz))|864+gg2s#Z6o$BYef5r2K@N20sSsE
z;Ie%U*rn5e349H>r|l80%y@)SM;@U7J;J}U9wFcBhbUh75H-&{L>tqG7(V|YJ{fv|
z3vWI^cmD_2x%B~>DnG#b@AYV2SC4%$_2}(Tk1KTQae%KLFFmcp|FY`P(ya~+jOuWi
zSRJaqtwrt9S~T&gMW@ZRcu}zypM0x9@!A@6h^fK54mGHvTZ4%LH8{WHK4#_KM}z<F
zW9QoY=r462Im7pmzw#bF3%Z9_cih7`wR;%w=Pvp^zKh{$cQO0OU92^{i=(1<QKkP5
zI+fqSn|^mt#QF}ptKPwP6Sr|s(`_71xs7LBZ{vK!+jw8}HoEs$qu%vu<O!(8=i95X
zVp%oj{;9&$mMYB5sKOGrDr{U+g`<*HDEIyr?yS0nSz)*E`|ew4seKD81#aPr7nOMB
zawV?xti+~`m3T;@5+%P^VDp0t3`?v)8<z^y<W!)TSOrcE+{9luZ{nZen>cgVO;pyp
ziDm*f@$`!uSXOWYe|g<N6U!Tzz4!*s_;nr6G+oCZY1h%q?K;j~dmXPxU&k$<%2Dus
zIo8CMWAMRpv}2beOQal?2Fg&fq73JSmf<4%GSt#7!%fr6@YL&4yi!t%Bfh1mV^fL&
zD@t*Yw-h%$zlOC1*KpOjYuLEu8tziPhJXH)U~XFp+T@j>lt&5nZYsgD#U&UuQH-Zs
ziqR#z7@bcQqnmj#`Y9G;*3YZh*nAcLWL`x$c@@uZxQcBGS8>J9B8+J+LV>Iz?%XLt
zLGvPvQ!GM_UstgG@fEy~eFfR4uOQE+E7-F53g-PT#Guwf{4cK%4|^8kk<EqZp<0Mh
z{|fM0djY;KC_qu~0<^F$z{C{=_=&%OJHIYtS;=Ko4!De&c9(I9?q#eHzKmP?^0{N2
zkC(#p(SBb(DzWqNi&#EBe18e^?_I)}_)8e*%7yVIj9z#N^TzV9t}zckX6B*n={($F
zk%t*e@^JKDE}A^g#loUoobQ*55w^J~qMM7!Gjmb1KL?-O%E437IjH8GgF~xwut+)w
zy}o9nbwf6?GP7~%>1>p@%tnQ!*|?lH8&`E^q5ZWi3=GP`TYIwb2V@~zEDJ+MGI5|L
z6W1kYV%hObT)H6>FE7qS?Y|jV-;sfPuV&!%fDEkIoq=u!8K@_kfqWzB__8J)E0WVO
z>qI)nnWtm4N;)P?rD6WdG`xQ;4F`hLP{c6}*D`77Cz*yVqp2w0kcysJso3X{iWXZ_
z@sWBenodu}_P!K6Se1f8aVc2jnu2yFDJZ3wg0Ci%@lr=JdKD+5ZBQ~AJ0zn%lZ@I@
zT>CW%jhm9tHa7`9&n01=O%itMB%#EdB-}Bah?i>;kvBCF_nu6|X3Iq6EKkI0p+q$5
zOTf0O1a!KXfWpTTuzY<29#ly{W!?n*&=rrjZp34BR6HJciATG2@o1qKj~o78M9Y^K
zad+88JQ;ow6Pzw$&6<liE_V^NCgbqG=W$qfEe>VE;?Uz@9QLn{Lo2yBZ229Fmd|6c
z`&ulzg~g(XQ!L(G6N?ArV^RK348DC4gGFUAcs?QqZ4brZs&z4_p%jBEQ_-l>6^-gQ
zqmdI6jW$Q3(Q|z?<}ZoH*Zk2a-5Z6wtE2F0LKF(RN8vupC~R2~g&g51tQ?F)c5Ng+
zN{>Wa&q$ou9*OCCk!UU!i2|b$SlbkVA^8z#>lcA~dm~Va6M?)7Bk=pLaQxB{j^9he
zkvB3NB@c(Au30$lSQ3sw0^xYCFARC^hM`GH7$%+$!*AQd&`LK9?}&z>)@UeRX%0or
zf>5ju2t~_%q4?P-6l3H=an-*N{Mi+PH!4HWD?S7_xQF24Eg>kN6@s7UgkaCdV0_US
zjGg(x*zX^V<Bq{NcXcpoD+Ht6R1ijX2Vrwn5Q-!Pq3x+4EZG)>v-N_|O*{zSd<{ga
z)<ArEH4wLl1>)eLK=d>V#05(O@!qsRJTe%7D)j;QE;|6P_ynNGo&elz7=T)G0Vw^?
zA7^y?BX2bq$z1=8KT6y9qn3d`T1xrj=^uW0xx)|p%KcCw)(@SI`(fo~KNQvW!(*a;
z*!jg5O<R5Oez7mEitxn-S6{T*=!;)h_+r#-UxZH=@O|?I%)D{|_k><RRhJ7~esKX?
z)GlDr%nKO%!3Qri`QVvCA3PP}gJ%!<VCZ@u%u@5gdoz7-@PjvsH+!SW6>szl^~OdQ
zZ<I9mM&}jY_+Yj-F8h2Q<66$+^y2e)A>up=9X*ec7Uxk>>pWJAp2w<zb2vNi9J(Gj
zhi_ER;qH;M__^>bh8;eOERD1H>x&oGm3m>u2`>y;>4kp3JTd&1C+2y2VheeqAg?E`
zul2wTKMxcz@xYV99yrl_27@Ec;IhqUuyfuSjDK+&9g|L@q1|azlRu5h{ijep?-Z_e
zI)#UqpTg|XlQ>*@650Qq#56dGbN~K_5%>N>S>OM#dfk8MH1j`P{KOqUN4w+0ZSGjS
zz#VgYPGCXS3B0ra1eZIUK+)0TXjyg~(@!49Kdj?;faf^&)w!W_kQ?%Dbi+$xZn*Qs
zF_cX?hNJe!@QLy<yghOhZxtWK`V&X72acl9)DdLY9YOD)BiO$22<pu{g1McpsFd!C
z#g49Mw#*gBMh|1b^}~47<1nsSbr@Bq9Y)E=E+`S>f{HdS$jG_i{&$BkweS$WJ$49J
z8XUref6h3)-WmNvoKbAEGhUhRj8<=)P&m&CTU?wlL&piv|2~MW_Yb0T;6XgG=^%zm
z9>mh_12~v-fSVHs@RZI0?D)MO4QuveWf0d|?#GV#`|(uoK2*)$hl5A<aUb2>hoMuB
zc;cZWIz>35i?t(q$vI;3kOMv}c0k@!4rpTNfT`0Rkf&`g9!=bfpZDy=)64dv*w`Md
ztlEQzefOY-`5ycyu?M?)?6LlmJ>EWQk2PSA9enmU-n1JP<94InuHBfsWH(NJ*@e4q
z?ZTD|yKsZ~E_@-m3y=2Np=5y_HXOIZAjS@@r`e%)n=LL#w#B*oY*9?Z78NIUBBypI
zmjmy_4C|fvPGKkNf82o=Z|p!m?;Yr|eh2bO?!eey8`Led!ME-<m}+Q)`)1l8mjvO$
z%<VYSWjjvO-;N@D+fn7QHJT<^<7o$LysmDI|0cGfRsA-+8MzIY*lxp|CEHMaY%A8^
z*@_2)x8nS5Td_l7E2e+4!v89*(8kXSO)af(?IJ6*c)tbrU*Cd3-dnKJd<%|CZ$TQ|
zjIpJg@yFTCxNrSt?33DzP6L+suf!5Fyex5}nI+DUvc%SY3(P68KwmElJZ5Hr&Qcb5
zbYK(uT-$`1XE$N<`b{Vxy$MYQH)3MhM*MMpBkta~5j$iyqV;=oe0Ref&-<F=lFjD$
zO3oaUK5fALRU43kHlULA2Arq70Y%5w<AVF^Q8QvaZnj&G=hfEZtqC*ad1QuLE}CJf
zqZuyJF~eA1Gn8sI#k@3ATy@wK-?L0HRoE2mI!$nCz6tW4G{JYqCfG601l#)8VQ1+&
z{N%k3XIrjAkY9(#M%Uu?J8Mxed@b&=TZ@mDuSM1$W4zU5jK;~v_}bYR&!I7@3mfD6
z&NWzkc@27>UW2<$*PyBN8l?BDkyE)EHw3N5eKxBxXz6OKoG`-i1|wvWj4;yK2uINf
zcg!@x)~;2!`N}Hn^<0Ig%~zqU>?&;eY>2^k4RLd%Au8`NL;-C>{LE*F1J5}4E{B8P
z+&L(`j)Us+IcWEuFyR(qPY9u=9buR{;rJATPHhYhXEAvE1cNiyGFTwRaL1XAbF0|+
zG?a~*yV&TV$wqrVHd?l`&^(WYR;O6F-;9O63t3q78L{skqI?XZ^FG9T`iKg`h+(e*
z1&RUvy#d9o0I#S3T1*(=RFeT#rWxSbV+Oc!jR7u|GQhbb`p9!zAOA$?Bfo<_O03jJ
z?HT&G<Mm1mD_)6BJ}YtFwv~8r=}LU~M-R1H^)N464^>X;;WaZoTqmoC!(VkVrd}6K
z6LnGeur59~)WxECx)?F6gC5m7=oYDiCmeOq+du~sX6fLqUTqvI*G9P@ZSHrcjaRj_
zQAkJ|onC3-^Q&68@q!k%S!?00<y!cIM+*}=G|{*~6aSvo#JgKGF;rC(9sX*d@ly@d
zzNCRmJvC6xQUmo>G;rgjIv#0N$K+gfY&)ZlVixLXr>u@;zgM7m>k9PBU4h@utiWRy
zD{xYI1x8FRNA<Sl_#$sP274|?lg-OfM0Gj7{i}v|pQ&NqWi^aHr-m_G)i6;_4KMSm
zVeN}$I9#+0rF@s6#g1hdqqz+Ggq9(6FU91tr8q5kDSFv2#eXZ8V$kfRC_A8vw{NN9
z{wP(HKB$V%NflEiRPo5iCEWYd64Xjsf(pl$pp3~9l#^S6D}Jb;@naP{kfVYz9xB+d
zSp{b-Q^75~DtPIoG76R`<KX~he6vd#cdk^%zS+un?A>A%zP%WWVi)5Mm&GW$W-&gM
zS&XS;O6b<4gqGP#2p&qPwnYh-s43wJekEkO6meUbBAyOW#5@N@>}DzAqIrsV;G+Uo
z)hVEKssf&OSHQ343h1JufM5Q}<JlMTC|M$pHv{Ey?;d%SLV4^ElgHE#a_Cwoho-4=
zsQ#ZEF5D!C^Hk+ff>#dZU&*3wnJjJ&mBrKhWU+u`aX?BIRlhDm_r^uooV^H_do99?
z+ZN#r%|+-xV-e2kUx+Ey3sLXlLVR&#Azm<Dhz3dv@#h~Iy!%`RBTHoPP_PVca+E<f
z$)L`BF1{^5cJl(<l(zs6onL^FI~L#_-39n#&H~hbFOA-{(%7CVjasLqF@Cc&3ayaF
zv(uz;s&769SI<Y;`1x3MY(DPUFds#h%*RK(+~cpMaO+JeTpBHfLWiaB<2otqQk24H
ze<iW~r6l&0N#fUVNu2F0iQ2}JXfH2`@skqx;<*IMmr8IsvjjdqD1lmQBrr`*0_RQ6
z!<gsuP^NSqUJ0AW<r(wv{hE0gCqEC({)prBm*V)OOdQi9#PPpF;%L2299JocqwbU#
zYIcdC?oBaV6(fe$N5t^I^<tQ|L=0Q_#c*1$D4JG_Vr+sa4xJFi)s~`|zd{rxg+(!R
zPy}bzieOB-2r7AsVD)wp+@&Xi)5S!v>hoMY*)$hf`Ezl)-(2k3GZ(9AE@sQj#pqvi
zFt}q5hLq01*oZlp=Q0QHna;s}l{q*^U=DX3G8@m{nT@r{vr**qY}~(XHrDCPMm5pd
znDluTiZ#!|=*zQECSVp`ah!!~jb`Dn+$@awI}_J-%|zbHnOJ{uCPtl@iTgLt#MPQJ
zQFYEtl>8`+vl@j_IA0h={e@B9Q5f}&gwa}F7|;EifyJ+9;LxoZsG2wfkDZ)>HCtz(
zjP4Bd65}5KG97K6Ovh(M({WqqbnJ7Ujwei~<6PD0SSmCfcfFg2Vs+E7C2JZ+dr!k%
z_R~<CGY#j+PQ!11gz!z55VqeE!nQ;qe11v@`>loW*GeIjkQ7237sLbYf|yb!h@H`b
zDC;JOhb#s0o~9r!5)nk7Q2`un5kSYQ0@xQOfcp;%;MfKM3|uaN%CiKp@dH11tod<y
zAwRwk=Etkf{ODoEkDHe9qna>3w-)o^WCI_LUgpCOL0s#^hrdnvaP~4jR2AmK^&`Ca
zUn4K(7x3cSU|w8&h!<Vg^Wr@<UX-52i)TLaV1F|YS{3nNa~Kb9aOL50MILm};KAQ>
zc~HA=3eIIsL6^f6tW%zXn!$gtA^#r?I{kwPwSTbg(_ffd{1*m~{)J}kzi|KiAE>|a
z2Rcvvfj{^M)c;Pxk-L*{*LxCV*GxjF&?L-g_zf3BeuMVL-_R}c8{(f$fc?b@FtC{b
zxrGxT@#YsS$od89`+k9i>M!vA@DuJ|{Rtv&KfzV+Cv^S#0oK(&pzqudIJ5c(C{FtU
zosHv=9zG7oH;=<M$#F1w^&L#pzQgvt-{C)%?~pw*20d5DK=t?-c<YbB@Z>kxb?+Oz
z_5B9!rr$tv&Nq1Q^egzqe}&DqUqM~rE6gAK0-}XqVE)lButM((SpFV`3wKAM&UX~V
z%|_wq+);Sl{u#C<eTJUhpTS-EGc5S<2_Bbxf{6b<!EW{^VE8`4(nlX*arj4AVf7K#
zEcggcy&oVY?*sI>d;oQw4-h&r0>AE#fSdma{N6AEk>Vqu`|3RmX1s^I1MlI4`g^b#
z9|o)*2JH*OU|=>38$^e}_2m$xr4PaD{X?LtJ_J7FgD_G(2==~%FtC0Q+{FiBUe`Og
zpY;wro!^16_B)XIJpfbp2jFWE7nTF?PkI2P-}Zx1K|h>w>xXLWhdKQHaJcC$yoz}X
zTW#M$_u{v3{8JxD-sppeXZyf!T_0GA^nqGuFNkIJ!n8xZFhjQ&=Kp;IdJo>f?ua)K
zzx@roR(Jy%A9^67ya)bx^}xw>JuoHG1F^5VK|iM(h7NZ_j(#^B;q8WXO|M~j+-s2A
z&Bao#Kh_0nZ+F4rfG)_g?1BNAF3=f#1ra5$;MbW~;A;E|zRrCGKCe1KKDQH^j&#BW
z>;x0RPFT?T5+;&f!n=Jhp-1y23{1X&pATMuRP+m2WA_5is=k2wvF9Lt_c@#iehx!h
zpTi!7=P>-S13W7_V3BVJG;QhtKba2LFw_q6W$nOwt{q0r+Tp!qJA8Tj3<QdwfwIRl
z*u3r;go;0dXK$W@%9W?!f9ffWt$7MAqEF#lcN_Q>w87$&ZP2>94FW~lz`VN^WD8p1
z&ws5jxVn{_|E<v5{RF-gJb_uKo`9b56L1!L0$1L&!0#(9u=Pv}RIh6R4T%;ge)||$
zC6A%q>oJ^O{}`4@KZfDKW+*LhhCrWYaJFa$8`);C`q%_JZ#BV@z$S>;)&y0Hn_%o)
zBk136gusYKcxTrL8<#gi?e7Ly)6f8I@eSa-zX3$_8lZ;10nR^t1ZJ6!K>p|>;Nv`k
zFS8%P$m@sjrSKu}c{~Jpvxi_N{SeL%KY*H>4?rZ~0XT1a0IkXoVAXg%+^MUFb+PsE
z+Myo2bn0Ole?9a+t%LlmI&O~Dft67mu*K>?^KC6?l-2_JaR14<xfV_+)<V{|8hBk(
z1Bx*<aKfPm+H`8T#Iy#A+wX%$?tQ3ozYm+&-iL9?`;aqq4|Y}DgT+DjVBF>&JY9AV
zswVG3aWfaGcj1=nU1;Ong)x!4pz!t%>?pef>ArVhbn6{3TXF}k{kjcGjkh5)`8F&&
zd>ii2ZP+Dp8)m$%hI?hz;Nw>fo2;urb!j!snyiA!<|-IZ<JzNDFl%)cs7h49rlDKl
zQ+W&Sh1`M}yKaG<<}Ik^y9G-+Dk1e!CCHwsgn|u~uu85H`oC5{R9yv_#aF-_=L+a%
zSHR7=6_E1wCWKzU2?2pOA#CSONK?NFw|H+tU;7OZ&%Xf{9ycIi;|=(ra05)ouS4mh
z>!6Zy9deIc2aVO&p;q!b>>VkGS$E3eepESl?<<E5P!5W-%Ym=23_g{YL4RNw4A_>z
z7tJyd5-fuyou#m)s1$;|OQC6NDM&3V1=oMq;K|c#z`Aq|N<FTDuEjODxA+=ZPn5u~
z$0d-HRRTLtmcYUdB`_>s0(ZuXA-%B}Leh)D`$RGLm=;5rY%yeyU4`05SK)K&RZu#9
z6&y^iLeZkDz&BO|dma@*Q)&@#ju*jglOk9vTLhhBSKwsB6_8860&OR*K)Bfz*eZVo
zRDKi!UvnW0XBNWClZEiioNJW|VQ8WNcv}lVIj;b=cosm&<^pI@EdZIR%iz{=8J-nh
z2J*QK<=ZcVuEu4!BX}7$zs`p*rTLH$ln?9e^I^JvK0KM74;cfOz@zFC*hgQ2O-`4<
z#PAZVm%0SoKj*=b`aFnC$%CrndGN(74>T0>;M7DeG_~e}YJM(6oXZ6s>s;_q=UO3d
z+?@le*K?pLGzU&O=70t}2S&wnpz=dDgw<xlq2z4Xay%Q1*Jp#F64y><fz`7tI9!+o
zkr%R{dS@1V)5!wuSy|vYkO@z!Gr2V}6Jic$0{_}f@RH30-k%u|@gxIO@-yJ!`3!Kg
z;riMcFd&=(h5hN^S)C5nap}NvO^2oH(m`H69TX<gK<#N7a0=7F&NmHw?b6`-$}||A
zn+7`XQ{j9~D!fQe1%3Ba$lRC;^HftIk~bA3yHX&xJOwB`1$qypK<KIzSS6DJQ{R)}
zVM{V3<R^ohPcm$?O@`GglL17y7)b)7x+JhlOM;`Pk|1t#64WkFg5N?(!0Jl`zp6xd
z8J7sUM-w5*ED>fXCxZ7>0`R>`fY9;;kdH`!+fE7KuqFY-<PxB9A|688<6&!YJS+{4
z2cdoO@R1V_T?^vj+4x0hZ@maTg%{zg|3#R+_abOB7r}o1MTj4ZgBLAvAYTv%Zhmp_
z*gg)l*m0016$kUiVj-p_7Gw%y;fh}@tlbj}@7b{sH$N84zQ@4y));6hjDggE7;txp
zfo+@^FqDY_ouAR5@hlp2ilf0WBpS9Ihz9r7(U2+^4UZ?IK<H%@n3P9BOk@-cx<rAI
zX%t*ijsgk3C<y6^1mUVkh>nj0r4x}*Z4n8(Rz$)KVXi+I0jFvsfSnNmGrS_;jZFmH
zUKs&7;t>%0B^*K@heKFFI9v<}hkVCys96;b?_|S4^iLQVcZPw_jWBo^69y8;!r;)x
zFlbZ@1FachkU1C%(siMbm>CL+=R%>(HWbV;6h@^&A!$4W%%6q8^lKr|93BD*E+KH(
zECkF{LqJ0)1QrbhgLq9ah-L)C{IkKZ#5NcRgJIYFVDSGD1UK4)V6-#{G^2vx^pPNF
zG!KHs%Y(pQI0(KB2g2TmfzX{B$mJq|@L_KtoLv<N((-|D`(FS!bqBzr>Hz3W3V_tp
z+<1EckbVHjNCp7UxIcV)<_~X6{ozfNKMWl8hp(IbK}f?Nl;-$@$tOQ>Z}x-2LO*yP
z><1doe&A*52hUXfKx?`m#1Hv`;6q>V$n%8>KVLYv&lhGH`$FboUmyWr=<mM(k+m1V
zIQs(dUAO=b_g;WlqYL1qcmdY(T>!PWJ|I=&12eOHV44rt?&ZctKA@)P!+qZeoZfmv
zY>hWO%<|@*?+t4lydiwGH}ooTH%<h+A!Xn^2-cs6|8md6sNZ=w!WDq~x%NB+EIAKy
z)6auf+c{{8J_o8+=O9kv9EiR+3n>X_L4U_t=#x1MN!?zsH{A<xj~6H?d4beBPgr=#
z6SSN>VXK-a1b*^>#$peUaq|EVT@M)faRv@no`G?XGZ0N@fOyZqMD1y)^*;?Mrl-Mo
z)@kr~atgeoPeI()Q&2Jg6pVD81hw>&;Ia24yiz_1Chz})`YZo|#nJy@MCU(<`RNYp
ztK32CoI4B|xkHnXJKSkJ0r$dBK<nlcFe-Th7Ihs5oAl$5<8U1QEjbSRKe|D8i5u*7
zcY`0`28sWUfm!V_5Dq*BFE<>6>!QaX<M~lYN<Io%_D7*o`6%>^90AdiBe2E&2xQ|C
z;Nv;Mt+}o+66^{mEL>rhq$`wm9fkv$hhf=)!!Wu0FueNa0*@+Opzf>-w5)M~L17n|
z)piJ0#UJ9<wL{RMbO>}uoFTKs85W*&hFr!O*aFV*w$TYLMmfRu?M|R7=LAB72jSb5
zgYfbALHLdbL749#s5cyd-H`_%&H4a*kUaov2lqp9(SA^I-w%cC{oMT74?Ru$AT(wl
znC#pKVoLj9WW*7klsZDq8Aqr!a)hVCj_~=Z1I$l$01F2Ph*NWb;jz77TD=!;`tAiC
z^Sy9eVlP<r?172AJy3XL4;(Vs0|vZ%K)lf&CZp})>rQ+4zStfFKko*mo4aAt`P~p`
zx*MK|apTv!z&CdnjJfWDBL=%*f_E20Hrau0oE;4AvV&YzJ2>{u7R;(`LCfD3lr3yQ
zWq~c|4(tSrt2^QJshv=4v=hF~+6hK4c0fkv4w&h(11_xG0n>SRKvI(pz(pH)XKw>(
zYBu2bV>_2OZU?E*?I2*i9sVh72f<I)AYEY%c)=PDZnTDMX>0f}uni1Lwn3K1HV|F6
z4Z_5>fn?8CxN><bY;@lWe+{=n<*cpX^U?~o=WsU|k6OV}wiPH(w*vL{EwDOc3+!{*
z0<i{LpjBWC%x~Kahf_Dh6Q|9<tlSJ0e4Byu#1ft*Tf&KhmY|?#30=IFklA7ZCz36|
z>YxP}>RABrSpYrR1Qscqz}0CJB&^&7Pxv>1SldR}o3;_|9NGv=U?ZdmZG=Vb=1`bv
z4#r2!;Un7|(uK`o*UJsCEN=two!9__t2V&%xf|eF_j-6;xE{WqUJqg>>%mZRJ)9XZ
zgL|cBAm(ibM>m;4*CI36{LvITZkd8(kSR=An?jz7DcFpg!2CKB=#MsmTYF3(P16Lz
zr`ADm%Q}coT?ctC>)-)v9efjB2g_cqg~ONELiMS&AZ4-^&PuI?uY<;L^oB7^`WZv?
zR%6gpHim)kYap#|4LHWGft8MHV4m(8_{YBn#-6Q)@7b$?_rz*gux2&Tyw%`3U<3u_
zM)1wo2#mKHL5{K!%>A(n{2r`=Y4NKd?!YQgH&_MFrmunvorb_EFobCyhVW{=Ayh6j
zgzQfoNW8;=qzDdNvgg2EEe`baaX_q{z&w{A=0AdW>j;db2?|FTkgH}OjVs@<bT<Qc
zH5u5$$H1I+Hay5>L-0v9*qE|GM}`g3pI9J#mjyymEST-U0(m_a&@>ht=tM{^MCkHD
zP_aPpROD`veg`mp2yj0UfIH>kDFGZ31(-Wv0C#Q}z^NbuAX@{Nt6=~icn#obyFS!i
z(uezJ^r69AA70Dr!|$<`p!9GhSSPK7i-%W2ui;A2o3|3;hV+1^N)P@E*MlE>^uSwB
z52R-3LB(rba4gXU8DCxKw$_CLHC--G(E*2NI$&{02TVM4VErZ?*si1lM}KNVOp`X;
zPuGTt<J!PB(T3oK+R)Dx{ajnG1?7oau)<XfN{qCCq_p702TeG0PZLz*G@;K)6LLrs
z+{87(Y*+(U+}3~v(HbCjKm#P$8lWhu0XV1*wpHp76sZpP_NfCOOC2_fs6+0%6(Cf#
z0**zlfT4XW-~ej{d=ps#0fWn7N%eAQi&_qT2bRMcW;x6jUk<&)YH;U{8sx>QL4vay
z#2KnViliD8eOv~QYL>z0gk>OmWEpHXUIwW$%i!bJrC|JMDdeXu1qt`15Vn3P%vD?p
z$-h)V>xn9~<*I^*rz&V{QH9S-RpBO&Dg?h+0tc>gXPDm-;Mgt!)ZtoTZrrB=2P#w`
zI6?((?pJ}&j0$&6s{&^}D#MdnWl&F6hIlt+5H?eW00m{3GqD)bTNeZ7FNQbg7DKr8
zVpyxO7^Y8K4DCHiP;f&Dg2R>I#C|0>NJ_9zQVCo>D}vVpMMy|fgxmiq!iSBDptM90
z_Dw0kwHFE?RH6X;0u`XeUI7e20jfn6z-UAs+G^y%IawZNpOA;j4f1eASspb0$-%GZ
za?n&P2l;_=5WYta&Y~Qg6qn;(vn=@6%R)+;EL5G8g#im$?)pg<w(!eB;_F2)e0>oZ
zMl6D?gNtCc(IW7XS;XZv3n8#&AxP&hgmUkNuzlx35Y$@;)pHht=dcW{t&sug6d4$I
zmw~QLGSIkGhPxJ*fx7Mm@Z{zK=#N?eye<nsb?pM!F24YxeoI4pyEMobOM`omG(2;V
z1{O)fmHE=3GBzJBKb{YI`SYR4XFfRF%?B}q`A{o1AG|(Ef#D-5n3XLBZ@r}8{&p$2
ztRn?UbEF{ly(GlfNkVqIBvhP{gy&l&;jgA7te7PU`-dbTzeWPaQYB#BX$i=&k^o^%
z2{=7df?K2Jfm_Wy_>(#hB2Lc(wXO4@RdXJkoiz{ihQ(pLRvd1pi$l1FI2^PVhxIz*
zpg&g}mVXd~We>$bGg}Ne=fuEzrx={l7lSNuF=!tZg}Ke5uq9s<GJHj0+@9+*qHs%E
z6qfxE0iOTAF1dcu`?a`yCErgSeZ!}5`l3F)`j4g-8WhV}8U&mB8>rs6Wbo!ev%wqB
zaf6}}5$^t_Dwtj~f*zAyu<(ipw7G=AwBb~kT3ZalLHFTQQ9C4-4a41}zaV>U23`}8
zz?z5h_<LeG@+SiZ6s$!}RV&OF-;2pEN3m4<96r_#z_WZ2xO#d#eqEi8yRKhCd)pFx
zY*2}wW;JLO)r3E1b>OkvJ?Nh`jI*o1VfT!`I8@Ki>XM(qx)C>r<+ykrtF>90H54w#
zigi|I)$CSd?Q+#(SzXj;MZREIf3?=I0&~q+i?l6S`7f+lk{5TeHXq){GP84Gz2A47
zwJ_ie>tOGB)~O(0)^!SGN$`ZS!XHPlq%Os<@<QWT+Gmql*F4f$(tg>jJxP~X=c)=>
z&cnqlX@zo@&%O#)%JpiNo#=g5^{IMR$%h7(hI0!`^ZQd)LC_0U?6TLaf#<!fsPK2J
zXv+~+kK8EBWnzq_-Sdm3+VYo`<;csvJH*f4e^iJa^KUwPRrE}@i`pEvNTUdQiK{sK
zs+1%<<H3CP#2FcOxvnhx@t8cDQ=!Bb@=;;SS}tY#C@*KLPpPwId$iaaYjoL_h5GCr
zNyt_YXV{tnhHP6uZvU#lwQR*GQ+8R}2DaU`P3(mYo7o@UZDl{4X2UL2w`Ird*v<9`
z*~{L2e;=Fm=O9~{?ZR$2e}sL!(Ty!A{U7^`%V~B?ohSRB$aywzjW_$S`vvwYH9z*5
zet))9S|D3uXE6Ktf>5^l>oB%)Mg;r%er^v(jTm;)?^yOst|;{5_yqPFrzAFqQrI8n
zrLlWIrLz|`WU@2zve^gxbJ<4^USi+caG7nSQ^*!tSi}~bR?KF9FJTw-m$J<}%GpW{
zH`vSWR<P}F-eT8Yt7dP$dWS7sbdNn!RKxyKQpa9!;{kjB?MLjV4;tBaPn)@Ydt2BK
zMqAmL+}^{n5*_RmwHNG))t&5jc3o`6Gu>?0gg5L56@BcbUH$C1sdwz@D#P3!fFtZb
zr#`Yz=YD4Yc=m<uCNRbxSvk(OJM@#?kU7C#{%Vr#H}4<YNtK5QTF31ret?fD3FK#P
z6bLZa9t$#=UxgSy$?1$Odj_N8Ak6e}`?H6Y&0<u$XEUYK<}%B4M3~6kqRiV+F-E>h
zoG~4l$Lw4n$yl$KVpv}D8KDwsrlNlVV=;dr^Vob5qwXuq9IujNlE>tk9IoC#_<kkE
zCUY^v->uAqN-tr?wy84uaZ4HN_GQeLdCQrlTURih7u6YuP7S7hp%yb`ug%QO(_wym
z&}B-sS29Lt^qIUG1EzZ>GJ{)L%>4{DbNC~}yf@%5y8ecYdHX6xS7|jf?6!tESZmCb
z&s)bd?l)lyDoq)y+3T4Hdp0mUH_aK|*_)V04i?PTDof^)_!j22ixqS6!B$3F!J3Km
z+|Crgv|%Fjb}||<woLd}JEqWLH{)Mo&&Z1IW!&5x7@u}WW`q8IrY-3JGk5ABBjo7J
zTyHqU$Y>sB4B}mxnNvrYm;=X{)>b#>KAvFq<+?LfA}5(z&r^)o`_s(OHV=lk-jiw6
zIm;MjpJU2{&NGXQyqWIb-psc$AI9$R1!mC_Uq-vnmq|(XV|HxwXIw-Bn5WGFOh{lL
z6Tc>i`N0#+T)G|16r2fRru4b`SmU8gN?8~)a4ekh)Qn&pM<bY&tC5V7YZNoFBASu?
z9L+>ujbW^g#4?VWam@X%ag0mZMaI!Rp2^owVBmKGBY8WKq4P;h>FQ+W*t8VJqbY@X
z5|PRrwn}5RN~bdcJ?RWzP6qS9DU*4ok;SO~$YScNvzdYmIb2<<TxPvk9wYQBkC~Qr
ziP_|w&va{FX0A<MW*X}X7}fAXrpfvWQ>IYF)n6!LHr=?&@Ou|Czt@*Ax>DDeYj3YH
z$F7z#$Ip~8H`kUkjQDj%p!Yg6yXXd2v*ISx%hf6@kf>zJ`zx7$*KRR^=c^dYP1THz
z>}@9F(``oi_8n$8^e*$>_8z0U;y#n}_da9C)pgvGUd#9&tz*Wy+K?II514>=517k0
zA2LG0kC-&u2IiPXBXgFoiFwe`#F$)eX864xGrufa7!~CwOxVN|W_e31!=K&8h@X1O
z>@a`EbSkzp5x?3Q&z24*Bj-6+N9hF<YWb4cqT0z=Om#9Bp1)!~6m>Cyey^DwcHNA<
zUJsKz`wb&J_=YLE)5~0l@8fC^zGWIs`x)-T!^~^0rs}ol@0f~`LFQ}l5VLdNF!Pi1
zo~c_f!qkk9Fkf0fFq^J?WO@QVF{uupnNZFsQy}w&`StS)<KF(2QMmSvnG73a1P*;?
zSSI64hVl<aoBt>Ct(U8Xd*>H3kut#;di-X}Y$lm427eeislSZmkG~9b{9^*krx;!{
z9(q>ELsd(8sUne=8fWm)*VBBoVuX**?%=0^Mt<7G5};3o0u;GWkk*9>lK4MC8gmt*
zp*KSGnX899qh=Zz=uD?GIn$|?tE~(HGwAxS8MMY(m<GFqDcO7`IozE|q&17wvbm6$
zO-#US+A}em5)RFwzV121wwOzoYv$4tJrTNjNrY?`h|;VuQEHtMr93w=3VSC;e%r+<
zyh)t$X&ybjHjid2OOQ>11YPH9ZY!LV<hDkVB(?og^r%yc+|B2c_Wk)Zr7KNc`O@@o
z;R33OTtJTnWN7G=42gV_A(K4|DWYQ`y)#`zW_K3R9c@`!bxD?<%E*yhq#Vf$%G2x9
z@|5>kp3XTa(EgVSw8LDHY-<$BMPG@6uPD)Vg~jyw;$qUBrAz_d$~5#tnYMDZ-dp=r
zXuI_i`q;dL!i-djRiR4bE0$7q_EL(FUPi7F%V>w78g2GaqitWg`t%2ulTY_@y1Zot
zy>3`RGKT83?}j>6E!Uuh*%}lmtw}tQnsh-(i$uM&s9;Qs%$>DqvR9kRt##;Riw+qZ
z>(ZiXUE<NvqfeLhXh41?y^CK-U*_nOpuavX{;N;sCk*KP2Ls}6M-bmDAWKW6f=5WR
z3|VyYCW}6(v&kusO{0q#IvdB3<ZPmwzC?Te5Q(4QP|F7nML8IfU6&zgZCORLn^w_R
zBO~g*WkhY-tLbsUYHCwlL)}Sh=&P79%?dFl4gR%c<FS@P#@15Zp>-rMu#VQ-nowf9
z34PvRN@n$@RK%E()D1HVR9{b1dF#nbZUgZpY@jd^bCL}*ryIN*$?D8T`t@xiWgXf?
zn+G=0bUO>G>#!jIjh1Bo(2^DyZl+Hao2g!F3uPB<A%7(+a!s)!TZyf-DSRufo3@SC
zoZm)kC$^Efn>E>duqJ26?R2htJ0)(jp^7Iq)Mc`R_-b~LI%_BGD&I-bD{QGL&z7dk
z+mUIa9fgbSq8A~%XtCgKI&pS4J^Hzu<d4~t$A~?>a@a%c?md*XZ7<Di-AgA;9cZY=
zfp)MRsr9-enQH8#`uu&gMsYtqNZwCo5(lU)`~dBoevpQ|57K{=2WgtS6D5CkBCUhY
z)X?Wljyn$#Z^t3Z*yuv59=XuKs>2jib(l2uT&eS_D_u}MLK;~|s9WYJg~lBvX6`W>
z4LnBKd~USe(~ai*aH9uDj?=mK#|a!x(D&CTsAQWv9d30eHM9R{r1n25U`~?r&6A|2
zb&5U}oTB2zr^zktH0jMhLlaSF==Mwx^7iu}<0%gkKJ7_QzIjrtix=4pdXcRCS?cdR
zOP98sqeG9+QG(KWI%9vHY*Wt@^XfdwN_o@N7H{f}^rm}{y(vT3ht99_q20bdME8AY
z;XfbxjTh+U$qRJ7`~pRNy+DW6eaYmIFDd2w(%%7JdamF{#k>3{AlZ+r+3rWW68<E-
z*`MBo`%_tyKlx7&pzX#1wA3enChi2#qsaieXb?ya?t!FH8c4rC2U49{5QQBKqOG|>
zwD4^Zy_F57yq&@1ln_j69l`WbG=vH_hLBT82&p^@p+137N?sL8R%b(LW>qNN{~1c|
zx?!YxEQ~sf!YF7YjP#d;(||)bMP!7NL3cRyN=K0Ywg_4l6G4xkM3C#ONSbXLNd<n9
zWLy(TZ~jHnNmdliJ{3io<x!;bHHvCiM3bd+G<D}i(}DhI8kLJ7ciR}6NQfbiju@I0
zjiu8YV`)4%mRujk(mVb*+F=++k3Hjvsf?q-@i>ywzDVA#7iqZQBAE|eq!Oig60wix
z=6*aiyo@JBi3B=jnLy293ACs&fn0<Vslq6c_|7GgX;mVH{Y<1MI!QF=XcDczl0<&P
zNmRW!nZDR3lVWNzS#~CqmqZHXS*CD5BZa;+q>!jkDrp#{lG)i*+IuUNPX0)xAni0t
za809}f;1``OrtWzbh@#Ni==cad!9~3Vi}aPF@q9<Gbrdm2K~pEN%oXU>&|47+Ko(_
z^(~X$ugIcWrz}d!&7#A7S;Q>LCSjXwdKQ~aiLKdWJ1d7|OmgVOg&c~wn?q|Rb7*{J
zE@ivrlKItK`u;wb;+6AAe@`AgOUWabmwCiH?-E6Cx<v9Jm#E;uCDP=}r!pp=v`^<#
zQF%Tof61prwaYZ)z-4mJx=cOYmua<h0p(Z~5N~7w?Pw~XVxdCfF)E~uUWJrUQAj;w
zg(R<Wg?2e#p@iHk)Y5x}cor6sx^)q4k1nFKkBcZ{`c=BU`YJs?dzC&^UZp?ZuhI<7
zViG%4Oj3DV^c9o%!V;QkT|!e)B{bSxLa(M>qx(kJD97s>`BYpZ+p%k;tzJs}PNmeE
zT}p{PrDP{vMvJV<s588bA{)wRwLm$2rE*F>T~3DO<<$4NoV=D^Cke;vl%IB;^gFN9
zeeoN#ZsQGl6nKNy)ZU=#zc)z3;3lQI-K1$nH_2t_CN(Qmkg9D3ox4~;ZLJj~H?xus
z8duVlbCulduOyZ4m1L`ai#v~QQDxRG>V18S_@$~y!Lo`lq>47ySCQRR6&-+TayiaL
zQ8gVHswO*y+q7}#ZDPgUCZ#90Nod9$8ZhGi+U|LWB5&NGU0?3dl4W=4gTq}aNWDvr
zFYc1G=sjvMyGJK{@6m!g_o(XUJ=&&qpFTR@C$F6QG^6J}MM~9>sAUa>1=o;3T@C&B
zw}$#x){@!LTDo$%mS*(VlKsLuD&1N~Q{i>A_E8-L^43#5*3+Nk^`u@@Pdf+e$w%%1
z<!paI_o5!qi^d1^p8p|@vmeqQ_lNZN>O-0sdPt-4kEqw?5j90WqH9f$C`zD#T$l!0
z^<M*t7B^7WPy=PiH_~pKMw%bpNX?CnbcVl)l-N!5;6xKS6gAQ0yCw>gZ6;~!X3B_Y
zCWS}Ml*03v#NaXc9D7V3FFz)Ww~wiKK?_aa(n32!S}4D^g}zL-khbm<a&>t^IXO?L
z<Mk8bk!U4l^Hy5p*GhJ`Tj}U{E1g}@M*jQSC@{5+d^_6c%<QM+Z2Xk0yq=Q5^`|8H
z=_!3){EY6~KBMs1XSB8X8A%GXQyZ(D{ExSjUST`+ylp4%1sx>2xr43;b<o=T9n|)#
zgSKftr;Y>9$vpiz-F^O?)aJaPDB~CO)$;|dFMmPlA70QW#h0YF<0YMpdP${^UeeIi
zOOn*@B#vt*?al3^bFVuoPW%<+n!Tc8?^je-@rtgEzM_1UE=siPBH!39a%$=#6Ta6Z
z53lLlk=Jx5?=|^$zoymmy6KNuH}|}5+F8*}yrbQesoX<o+e43|duT^P5A{y<kp0Rx
z^vdN8nP<PDTb*x6L8O<w*Y;AEXD?}#^^)iNUaFPrBmQlD#Dw<Iv6?<g`_)JF>Tl_t
z<6D|adP`z$Z%J-iKPfX@9PcOD%l#z!rl0=J8=wKR0jfJcK&dwd=;+4*Vk^EQ-tF(`
zUf4T2Rr`*XO}wKH^+7u0I7su82C3x9AgvM{qGlW-i=#vIICqHFbPZ9t$S}#S9VTy&
zVd^d!CY`}y@{xH@O&0HIw*PxFsd`UdU*1!p@(4ZMF+yVzBQ(2ygyesZ&<c$Yq~rL3
zv=cv&TFVDo#Q%||8+@csE+45W^CM+F|47GYej>*36Y;ozqUy_^$gSrSDTsfjhIOCG
z+4D0AUi(am?>>{tf>FA%ag>%{7^U2sqa^illzimB(2&&^G7kDeDYw7S$FE;VPvt9}
z+QF?d;a}-}%~z88`ISiR8|~WtjZVdUqmYN+D1P!ArD%*%lEWB9#gCCs(-^r-jnO8Z
z@1%C%JMkocr<RuQ6vsDCTUU<LT<3ABNgXHGws8^{{6W_YevpaF4|<vYgZ4c8LH$BM
zX&3&aXNP~%s?491-~N-PPya=GSih*u^%woi{6$6`zv$fb3A)ajpaItjnw2#{D>^1<
z-SpqIgY}#CyZ)v_nZL=Y{WsZ9n<NXIBse@tG8vQf<LM+d3jU#ZgFj?<=npMS`$O%m
zf5?yjFKMj&OHU8}CD-J?#NYClqImw%e4T%ku<sv<Cj6rdjsNKLpMSJjV~UFROp##h
z6j?o(qLg1#<SN0#2~p?a<gDZ2+_LB4G@s_-bVc)U1`ByOpX+!y-@17?V?TH}U*__1
z-mCI*-mK!~wC&*K+&j+8DGcT1#N_gFPTt|=Y=6Pa(fh*7nKOfrGoZl7xq*Bfzb$+m
z3l~1ld_O+U>r_5Y>J2{5jwgH^@nJqr0}nsPLz<tnOq-w6VaCt#a^UAEc=B`Z$MSP_
z74dU^*7I}1diXhVKlwRV=L&E@Re*EPP=K?>Mu1ayOn|d0Sb%dYOMs(UCBVsgCcqK-
zD8TU$5ahgFD9Bl>C&<Y&7v%8m7v$_bE66Fi$n}c_ITjBEIZ1B>Iek9`Ig3SvIF719
zoD4%DPUm(Z&YWXH98QqX{}?*!xG1(Z0GpqUiXEtkVxXWRh!_tdNH<7#_xA4WVqd$v
zyIZf_-Er;i?(Y2FKc3(2%sFqrXLfgHc9+71|6}@&|FQS{|G5ABf0QayfyNCh(796u
zeElmBn^u7=a|KkBDqvVu0n@<>7;jWS^PvKHl`E3eyduHw73mgUkrsIssXVwMuVz-{
z<i?6DJyDU8`xOcOUXf-sEAgszCAN4}!W>hHZmLRrA6|(~^DB|Jtr9l>RpRuMN|^ps
zqFLR_9ByBkOz+B+NvzBqU1d6rk$sCR6S1o@cP_}-i^@DNU4`5RRd~{&3dz1zxRhLl
zKE^6+9#@4X%c?MRPZgeBs)FyUDl92mm0u0364t3Ii~OqcHl-?EO;s5%zA6WoRi*Ua
zs&v0x72T_<tSDQJYYnSWzEd?E{i+d}QVoN#8dJtqWBt-<9Nk@w>ldr>{6#fBm$u?}
zeJjdzu%fJw6{VA`_^Gqv{b(y5EwbX`4lDMavtrp(D@OgXBCk$$eA-o~S?}t6iLK6Y
zRduEfuTJW`>a^ZcotLMov-&}GvcFfSX^k3Ovai9=9yM@|tikQP8Vng!1N#{@II^w=
zDMxDX?Pd+ee5gU=N;O&8v?iTgYqCACChqC-sMN%HLQPgJtBK8?nvA_zlkd-Kl2*!^
zV|A@*-QJpEy{)+yYmKYQnvuh-xi-fdyG_>QpRi{AU2EQbwx)g6T4Xh^#T>U<oDHtU
zuZ&u>veY7YVl6bwYcXk0E!JJE#j)qLxb?Rduj|z2r$cSZd)B5(Ol_=+YE$i>+EkiV
zo6;L<^Z7_^p4_a>#rL(@U7-$(Z0hija~;zC>d-T}4t4Z(cs{BQI~LSo=+-&}pRPl#
z2X(mowGNZ3)g{QTF6Fw`Wm|AvvNP&Z%UqXT<Li>Lv@WH0)n(qfy0|^5%h{iGNv&Cr
zclPzLbgxI*@Oli-u1Cdw^%y#-9)FhCL${|MPcGCW@>xCh{jP_7t@?~=U7r^{>eDBp
zKJ#<x^QoUapIo0QE9!G+PkmZmtWVCf`mFd}pGVdWXxzF1VLci!IJ^NHvKw%tqyeQS
zHNb9p13Y&(AnAMq3{M&`>SqIH*J#L!mJRvWy&>B}8nQE^Av=_Y(z6X&v$!D(wl`$L
znTGUx(2%UJ4GFB;2uIsSRCR5{Q~yTnO>V>_T_e&)Ho|FMBfkCHh&{&|G2m7sdc2qI
z@{L*FurX;)jj{G>%-)#BWEVE3>fpw#o7R}X)s1<wuQB~DHKxY%#w_^Vn0D4SY_Ye&
zy_*fYLTu=oVZ$bq4Q<ETFn6I1)wbH8oV4No9UJ<5v|)LLCX{d7gyarQ*y`1UO0i9d
zEo{QlK}~o)wF#Y8H9@<#2^%jo;pLMiH2>LzsOn7_YS)yFU7B(|pecWno6=O*lpZ6R
z5<RCWMH`wj=x|deUTezSS4~+~su`<mH)CyUdF<YdrJ>E3lhKUvre+Kn(~SHD&4}FG
zjIPI<(dbq)zQ1k8rLwlHu4l^t2U|k0rE!EUkF#W-*_Og_wm2-Z<;fOX=AN)6?6xhX
z-`ldTTyvu9H|MuQbLP{Wo)OKtp4A++xjE&>HD}tw=Gbj%&f4S6alX}@t#6y-Qr3=*
zb?s==){c2S?5G}QN52d^o*L~49xY?@?5O##9fe2iIC{;FMz7@gUpsbLx8Q&FEePt`
zf{B4GIG@}CD{TvWhP9yI%oc1|(}KJET2SR;3!I;{Am)1ul&US6-n1nfJGJDvcS~-@
zwB%)eOTPARDLvMb@=IG%VS7vdcd8|&@3iFmyOz8zYtNm!_MB>C&zA1?%nq@qf0{js
zdV9K#u*Z6~Jx|x#vtz$K!!Ozs{=}XJ-|e|wr4@6Vv?8u!D{6bS;$+`e^vi8UyOLI1
z8`p|~3tQ20b1RM=ZAIqwR+M_xis^q^;ZU<RyX;!y>)M(NzO9LgZ_UlZ*2E2L&6P>5
z30~ToL)%*8a<VmxZ?(qiZEN(U+i<;B8{F;NFx{;U@BQ20lh}q?#cg;os12@D+Av^Q
z8xC)8BeAu?`*s@!zHP(y(rtNFt1UM6Z3%E|i{8I2a}wIJzo;$u2Dat*q_)&u+Lm_P
z+QNyp1mA2+-0QZa|7}Z7O$YMq9LRBTAl=7-_*e%*@*VK#=YZpQ2kI|$;P1Z<JUr~c
zp(_q7c;<leL*`U%NAo7_c<<DXJ-ym7ETSC&neC`%Y{%&l?HE3*9js}`r#<ah`d>RD
z?ziL52YFtuJ$`lD^P*LIhIeg`Z9sdrC$uM^s696av?pg`d)_Z<k8yK*ejI6!a<x65
zpS7pxM|&Psaip(}BS#z^>FD9e%rHm(q&bqJb7b#OM;c6bM7_e1qdOd_cgm5>TaIja
z?a0?Zj&!TxM2W2vJ32Y>v9}X#qnt>}a$=m(iCrU{cs$dIs;ixF+U-Qh87B(vI5G6C
z6SGToU|r1)>}}qGlg=Hu=+%MiQ60FI)q$JF4qP44fparEaCDXYddIE~EI-|W$+tUD
z@}>i+e>>2-Mn{_4cH~dTj$HBV$m)oWvMxFjsP9O<VI8?Uts_g8cO+|jM_Qba?du(x
z{zAroicFPGtZCed==PoX+oKapf;-`z+=++9o#;QX6LlwcV)epKbpN*#Cl7Wa>S8Bu
zKkP)>Cz(^unbbPY+-m7eq^mP0`Z(hr?aYd7XKI<8v5au$-VA4Yt#oGo4rhLxa3=hQ
zGs|B%^Zkc2K2<t1sZnQcICQ3I_s*mSc4k3BXKogBrdGes_>S$2d2VM`uI<d_J)QY|
zrZdg&bjIsVXVU+4W`LCoGn%-t*3pH1JzeBA(uEsIE<7x9;dy@-UX63%<vbUju5;nu
zUKg&Mb>YMv7k0dHVc8!SCRn**XyQt&qbpr|x>7gTm3N7*94mBXc0X4N#=7D@*OhW>
zT{*SemGP%t3BBct)hky{{B&hdl`gn8>cX?OU6|(Hg<k$$cplq@ak*XSpmgEC5nafi
z(S>p=x-e^77up}|!k#N#@PE>Ui=Vp?Ti%UZwcSW);l_1mHzInwaWdSEo@s8ZSG!>|
z$c+&b+;}(Nji~i*Y}@Nb-Lr0JZp*w^ZZ!SnhPp~u_BZTG)wW%U>e`jrzFoN!-IXTU
zU5PhzW$MtboSxE^QcJqhaZ^{44|ZkL`L6tXuPayIcIEq@uGF`3r?ZVaLG9d0@8*ud
z-<@Hx@^ce8?#wm1vt*b%E2g@$a)~?3H@UOupgXh9yEFctJA>Z3qx$1cLbYyqH|~am
zLpQA4yYa@i8>gbXu{5h2CHiiJ{?iTH$=!Inup2u!bYt+oZup$-My1=`IR3I5|NQ7i
zk4oM7Sg$+F?7P#~r8{N4y0bRCJCUi~`Bp4{Kij`MUB`Ck^6c&ut?Ev>9o?CJtUIl)
zbZ7G;xeWcWJ4Z_Qz^_IRPB!U*Z~Gn`>ehp9{yo?b(*wKg9!%EvpwvG-$eYxI^9y?5
zvc3n?_VnP>sUC#f=)v-5J^1xSo|o^*{8~MEW!n?i4n67DvnK}vdr~I8Cmy*yu^4-@
zX=qQLPwq+MMLh}J&=X~EPZpo<$;lf%dGo9%)xY+{u{`+Kf^=I@oM223m=gdiV_{P^
z?9#*jA#iXa9GDM#*230Za#%Y73$DV%$1va{<dyayyt)TnY&>Y_;K2_!53cs{U}K~Q
zBhoxbP<i0k--F+yJvcGbgGtLhh}q&nqeC9tI_JTxJ03*6l7A%s;laTQz0lX`MN7M0
zT<Fk?lAgV=3+%=5*k0si_o9-%7fT2CqUVHOT%OyD+||AKvAq`~j`pI~rC!Xr-;3sN
zWzH|rQQ4D4^*pg@>B-bio>cbmq$J3bS8<-i=6G^Q?@8Mso{XR1$@{sUgs%2v&2~@z
zchr-_i=J$}=Si72vj3+ib1L@cah={c*!8BkLvJ?p=*=7d-n5D7O<HDeW@vhIYCvy(
zj*)${dK0<4Hzk{Uv+zJ~4xjDKqno`c{k%7gzx1YaSug1WFXC;y$ZzX~sf!nby}TF|
z=Ee9VFDB*-CNIVf^<u;%F9yu_Lbt|?tQ}rN9reQVq8IJ%c~R@N7vH{napQm9?5O3<
zv}WF@+I!>U?oDGKZ{9?BvnR!yQH9<_n!RZ>+?#uoy;-!to7A=5G}-CRwWHpQzvzwE
zJ#W6e@@DCGZ^HlAhhNrxSlqM^zU}((!mSS@z58Gv-iQ53eTd2L!)s$72K>{9>J$4g
zXReH`>chINeQ-Y1hpqqh!Sz-jHa+Wu<L5psEA2xgD<8%+^x==a4+YLXT*U_heOMaf
zL&Z!Va@9T@>*quBQ9f9v`EY)b4=vaGVA$ou;bT73xa33ZJs%dl^5M}pAMDHfl3CN2
zg*Lw2Y~zcyt1mvDz9_-Itc>&JN|rCBw7#?+;7ibGUsTh5nXuTGb?bdOvCEeS$9(yA
z(U&Usd};j3m$u)0aV_TuHT>w)*bo2Kegt;*Bf!HC-#|Y+WBhQ>@WV;vC!f*%s5!!q
zKa>4<KHrb?tNqxv&5v1!{ILAzN9;{MT%P)2_0f;VfBe`{*`LvM{fTStPb)`%-got9
zhqpid!~E%$=uhcffA;D8F%R^|d5k~Lr~5N^u|L7<{rSDqpOr`biMZg;kK6vtf9{Xx
zXMY})3SeN>02<W~V6$BS{!RhhaSx!lPXK?y0vMGTK<(TBX6piIHZXw2qXV#;9>Bsy
z0W@A0z|<W9R5=pBfO7%7yBR?8(*RC?2*CAE0P`vZQnpSYS<M1D>JUhaE`bd64CH!H
zARS@@`6nZgE5(7dv;?9V7Ra87fs~&cNWh9f#%&7ZzrBH2oeaePvdp~~$gY=xy!#S}
zU6~*vss%Bqeh_Qyg1GD$#ILSFH1iI^Gc<_Q_#pac1u;_{#Kw{!jtviz^DsfYnj6H=
z6+u+k97N51K{PlSM3c)w*xn1G`Ad=i5=7(D!PKo9OtpH!lxZH!=XSw7?h?#J&tUcj
z1+zRRm~rXBXo`Y~RD$XJPcSvd2g`YhV2&&aX7>7EigyOn>qsy)&INP(MldTL2cvoy
zjO))}ev}Vkca0D%jY4p<58-2n5LR~!A+=8kb;3e88Xtl_D}?6i5Kdb{&<zWr;lvR3
z&JH1YSqOhNgfM$o2rfrMICCz9^qV1keH_AwcOlgK8N!nCp*YqEWoyGwy0;8vzf&l^
z+~v_LlpZ0WY>y44Lq;geib83qgfe<aC_l!Al074o3yVT=UmMDTZK0Gq7)sXZP>x&)
zrTP6(`n?S0%I8qpl?r2E<uESP4x@R~FjQ^A*yS8Xxt?JJ_=YhdT*eZ@u+9!6R2{|`
zOBhFnhVg5B7#(MYk+CF<sq4Zxv^|Ws2g7J^CX8NJ!^plL#;BKJto|Iv$-iMdtrSj~
z+Tk>85>AKK;dpflr*HRgvigLh4GpJ%TsXrs!WmZ-&SX<K(*_G;!kIEHoCyoU8MP{$
z!JEV7d|Ehp$HR%g5RU(?aJoDRr}?{ZD*p)QUD*gORf}M2y$Gh+Mxb+uAk-y-HbhX$
zFM`YA5v)jvK*@^0R~11Wa|CyXM6i5p1clQh=(sR~kE<fsv^fIx-U!+qkKpn72<F_3
zAnb7j<=#fH<y!<9Wg@9rHIiL*B1vx=Nu@TCtnCyj|4tdnTklB5hD6dPHj+bWk;E0q
zK7AyE2Sie9WF(6wMdCCklATK<>AgOZliNk^U?dk#MG}5Fl5=+=349jG(f5(`{29sS
za#6Iliegs1C@R}VVQL%2Bj+fBdqlCdPZW(qqZkky#l5sBD2QT?K1x3CMG-n8iscid
z_%$nvkR?$pSR2LLtx<H}AI0z!QJlLFMZH^5Bs`8{{u`118b#C6eMzX?m+7_o@?Yb=
zl(+9oSEs(@yY*#uufCk{@5|?izBEnji%(Wx3XA*7>rr1e4eHCqQGIzoxi8h`_NCRb
zzOcS8QQP~Hd!R3tlYJR|u`e@k^=0YfzN~-Kmu+ABvZquu2P#E#$XaM5&s#*Zr+qZr
zT%%b}G)sM><+DsQqvN8nq(_rm5KWXm8u~}mYIrnO6QcPzBbqA<MP^kr(>6t;-5pKv
z5g9)l&7UjLT)Z32vS-m4-$&EuM>Ms{#&D-f49jcBP-GK>vwaL-9AntlB?f~>44wUA
zco!DKs<;@^(qpJ!5W{I*4E_7X;5aOXTjOFFF+GM(3u3sjB8Gt*V`#B6hGPd~$T<~5
zg-bCkxfKJCW4QJ@hT<<Vl=~aQ^a`=Gt`W<&`muQ1#&W(*Eb*OUdFUQXZtqxL2gFhw
z8Oz&*SPC;^d0rSxh9Q>Q{bPw79?OaGv2>pi%i0C8G?q7FBR9tKc}J|gH;(1l$ynN7
zjAi1@SUx_CCE`^q8$ZQj^;>k8kK<sqI2zQAqo_$72khgpc8VjdOB@@B<CjkyeL~|H
z7Zb;&6q%PBM}j(zxk?<j2FdoQI3g#-F?LoQM;68Lb5$Hpo8m~_701LwaqK%4$E%BR
z(o1o8Jc=XxRUBhJiSA!<TqqZhd_RR6b>eAf6HlL(@g%p8$KVpr=pOOR^NweIP(1sh
z;yIHT&-KiB9u~&)QZI7-;`ur>UXEq){G2L}bL088G@egu<9V|so+o?axqT#_3uodv
zayg!@x8tR^;+gz9o&lfZ$^9KqSos9pswH4kCxKEn3EXdy!2Wg#%<G(hxqAYUUJ0}d
zOrUIJ0@vabSe>3gNqz!>+5{R}5_mE=feoV)P$nhdF)M-cixN1#GJ#PW6Y$@WK*a+I
z96p{Pua#owS^{tHCa~mb0x@qBsQfj7oqrO@{a+$=tr9s<Cy_jxM66pTvb|j*37r#>
zf45^n??ebl<W_hhrZ^c-OJr4UBE8g!Trnk*J1~(S!xI@bK9Ty<6In7Z5vOIMW39+-
zN#w}xMEnjXa_Uqf0T&bHeS9K54-z@}Jdy726WRPNk+!9hm|r0Y>*`4ishh+{n<P?O
zCUK@+5^kN7SlBIzioKI4@=xMISQ4FMlbD*4#HZ{e!itkvYe=F(|0I%!Cb4x)5>=)o
zku*Dr4U3W}wJM3=jY-Vjo+RfAlW;nggz;<=doCwY`gRgtkCGVrGKnJ}k|_Hl2}&np
zu9(cG>dCyQn@qDN$wanHW>~vqwmB#B#66kXp2>LlC6gDL%;e}~b|xirH#3>Cg~_zk
zCDX@}Oy=NZ29Hc;-h^bfPfzCjykwp&P3HHSWNL0s#%@<Koew6{`$RIK=aNadnoQQ6
zWQrdrV|bN}<zq4fek3!fbP9tjrZA{_3jOP*V75s?*CK^NhZHh8r4ZLOg<y{qJbY5<
z7@R`0s1&RcQuvXU!sFZ&&Z<(_VoYIn{}cucO(AVe3cV+%U^gp;(hF0#Enl|TzAlA{
zTT;l~odSnasC_bpr{_}GaW#dJcT$LcoI;CNDZKq4`@V}WrBd;&kV-YHRL<8<Wpblb
zBAcgDtBq_sr83qv6`vldl=4btn|~^WVX4^0q;e@Km7$rbxD=%FP?O38C6#UiQ+Yg0
zWX7h_c}gnRXQk3_VJb~mq_TfqD#=??`MoQZnFnS3L@H<gOC|G4DnD<D{KHi2UZk?+
zT`JyRMgQ+qQp=_Bx^f!EnrW1(pT_VeX;f>O#zcoSYIjOws#_X$NMo{h8Z`pb7#*HQ
z`Pel2C8zNzGfj@+Y24PN5u&8Ae?S^e!_t^LCXLFI)6maM<L>-4e3qrLZcQ4sHi?}b
zX<XlzhWpVpW}Z&t>xDETuFLq{G%7wxBjr^Z+diaG^}9U(o5sK8(<xguop9@P7SvDY
zb(3`5TBbADA)S*Q)2Zo}PT!vC%<@X-mVY`nVd*4Br!zY-oongo)XGaINR`e|Lpr-l
z()lnr9s7~##EwsA)YNo#&Q9m~!gT7cNXK(sIt824nYvTv?oa2z(R3=DNvG|_bONu-
z*xhtSKTc=m%XE&sPnXx&biV%<AIfFWx^f0RYGe>rH-q%X8R(j4@K5UuCOKv>zjFqw
z-81C+R|b3gWN;)fgHz!doQuieVp0Z|GlaYhE~zrOV94NXNd_kdXK-jl2D`>(@b8oi
zme0yy_JRz?Ez4lQnhc8n%^+!e1_66B=yEuN<|i|#axR09movD2Q|#Q&V9`_Y;dKU?
zA2aa&o`K!p3`&*H<W}WOw${jGeBDg48)wp^c_!AaGkMZJlkLu#jO?08ESa?O&g7GS
zCi_D(8PzwFh=fcUrDbwIJCkLFndE6RX{TiJx_>5X|H&kOR3@z_Wb$ZgCi7-z61^~!
z>dP}ZvL+MrznM60&*a{oOnIHjq}Pc|-kr^4?xjrpZit<`^89fo-Y+wG^-kt|$;9PX
zCf7=5p;XACLA5NlTW8U?eik2WvKVWZMXNSh>~oZTowIn=HH$%HQQJF<W&T-o3C-eY
zR2Gr(S=>*_qA)9qulZRFRA*7qn8mn~ENTtTV*2nb8jj6k_M|Kt&B$Wb+$`!Z&XVgr
zSyW$_#mG%rl-VIZ?9Jlsp)4{^WO4Ou7Jiqq*m*sRws*6b@hFS(FS1a-&EnRlEWCeY
zvG%X{Qa&4V<!tU$&!$(MY!)}nrd+dZ(pzS8plvoyI>@+7HkaJ9Y44HEQ15K%;cPmE
zW-}}*o9l7eIHY7#l9|n^ylfh%vdPkC^RGFZUjwr79-7VAQ6fJ+n}$=fNt%_-!ui=e
zT#`+TRbpqoY;P9(J7j!cHc^MO8FwO^qi3`EeK8y7>)GVo$!7M$Y|cE(=FjVF96x50
z_$`}Jzq8p|CWreKa;Q=*htAeH#MjGVP~#ky+2(N4K8M#1Iaqbf!O=B`pl&(jd*m>}
zJBP*oIqV6^;Ywr<Z(?&OpPWOZj2xVDbMP$6AyS(|rYQ$~za0J<oWsQ7IdaU%Va3E8
z{+*V?uGu*pT#&=@r8%5gmBab<Ib7N-`gY`Sb+0@glI`QN|BQ@Zka<^S{;eE#-p^s<
zlN^@6%wf*E9436uVaSghbboWmD3?n_rCfSh<>FW?mxlFoDQ}a@8{1s2*ypmxA(zD+
zav9;0OM!c?TtmvGgIBJcCdlP&P%dY}b6FLg%dmu8Qd4v3mX%Ab{9IlX=dxdy%Ty(o
z-2S<AACimJh+OWD$z|QdTuP?p;x{{&Ity~Sw?uTT%tgCS<TvF~W_vEjcIPtsKrX>Y
z#n!1@&i|Lo#7nt^UKc%gayj)tY(CA!<5jL)-^pd;=Uj4r<kIACE*Hz@F}z|P@`Gi(
zs+q@}x_JaN%Hw;}JeIY{BfL!>zuV`ryi*>bUGn(WEsyygd3by0@xm{UvB7ybMdWcV
zIuBJs9@SIxSeu!Le_kF>it-qw&7+YikIf}{1P;pM;m|xxqw=UaUi3`PqvMP`4$cuf
z3-h?YG>_s{dHh<J$B0dN)Y_iM+}(NDAIM|fkvzHnlgF;Jd2mr=uIAx&D~}`h#Fxi;
z9DbgM=bJqCeaNHR*F3iV%%el8d{&mr$F@>FGpgldWt}hYb@KVzFrU1p`P{P0C#ZEk
zd)npW&{5{N<WtT)pW>eRT=&e!(<h%*0r}Jn&Bqui^JDVyNX%z(YCh$&^2y4}=V(zr
zEw!T8n9n^+KHUfAGyR`@-jB$~e{4RBCg$^fYCa*e^5uP6KHnDQ6R<oV`OQ_{tk0+C
z=6uF(&*$dud|DsKM|UKjeJAp%bT*&x3;E2tlF$7c`Lw#5Pr<`{HayMe<I8-xcO)Of
zr+l`4%jfg2e4I-cpekR$no0#ctyX}obpdg83z*cffD=s$_}jdI&aDc_aVTK6Qvqk3
z3;5He0LShHBzhDu+N*%=z6CrAERgGw1$2!nAT72)&J7i?F|~lJnFajHEudLZ0lhT^
zWEu(>W-ee^{{oH-F5uy?0!oc8pz-(u+$I+gF};Ao*)nH-0rM6Yuw{7xr&bqmZ+!uu
zHWkP<#{wGcE}-rH0^AQ5;CH-$=+gycoRc^%6=1nmz|dO-jJsFBv_}QZeOADdR|Twk
zSHSvD1#J3Oz}8>lbE!ghloKizvb}1dye1X0sdgdj>ld=BaUn~Z6*9L)AyZoyGPYeI
z|8ywC+_{iqw?fjp7t+_G5MQrCy80H<Ca{qDp@sY}vXGC_h1`uV<YaOoTha@epIyj^
z{6bX4g+yx$>0vCSxkcs<DCGIzLQV}UWX-5T#*8bZU{WCg(?s7a8J}0kgN23cSz5^S
zl_I}Z>}@Qh>6Su1Zx^}Ug)G=#i0*J9KF14baJrBe{}r<HVj&~1imjW4w76Ty`v;=q
ziTLoMknlH!H2P4;!_N}qchUK~5SP+L{3ut%-ik#Gs#+x1(uycoyNJW}iWt(Uh+a*L
z_|v?IUG_y7+ZNHuv4~e4i&*MXL}J$>YWFDOq(>10y^3)0E#i4V5pzO{2#zS?Z{H%;
z#}$#3R7ABj(UDn1POiul7O_uNM6Rv~Ym@A^6p=olh{{8X*f6Y!s8L0HA1it$7Qxga
z?$0P<@SGx=FDT-`;v$ll7x8OV5i{3`&3}tHx21@@9YvJgQ^f53;^W~WP8^eYr;7M=
zwuliIifDADh_%;6-))(HuZWaKMZA4lB<HTg?%N`!e<;H4OA+h77vc6>?360TuUs+b
zDijl4rI_1R#iUsm^Q2C(-1}3^tH#9?H7n+=T`|S2ih0wvm;%RQUUV!b+ohO?Zp9>Z
zFXkG>g!L}wWS?R@{fpTVRE$$tF-szgX%JJ)*!W^fB^RSf6Pe6nB65p4R8UMORWS>+
z#d58;7{y%7<9@}24k~8nKgHOMC}#BNVm^*5CT>zO`==Jua%M3j=M?jLzRX)(%)iTu
zskN$Dep0EJiyK7W=3*vnlkuGr*WO~59uT`nME-a&n@$x|<-cOmFNprj#niZ7EZ23#
z*Sli>VKFIBMBnpb%Dyfp@}2npQEY!Hrq_>R#{DklW+@e|%Bj#)P_etRit<(}f@`Xn
zR$ImGdMfN1smN`jVx6su4=q%<v{qqsP_e^N#gC3E++9>CZYs8SQ}Lyz3TICh#oj7b
z`>J>nprTobir8=!lcH3dj8RcKK}DBj6$NQ37G|oroTH**f#@lgeHs;W^(xMoRQ$52
za2O!6gH;S0s^Z@fD(;L{QE9x`n4}_Ms*0gARIHt?;?g|vWue$ws=|AP_`6!gm~|@F
zZ&Y!9v-rJDh4n5Ko%X5-J0SiYmhodMR-ROG<cx}Y=T!W>sG`nQ6^=Jl^tr7f>7EMx
zLlvW+s95k^#g<npPP|od>w}6npH-CluA=5I6}Ep>bS$IBqr95nifZDksL8QXqpPWA
zKy5W6>#3RCP|X}0wH%k!a$Z}_CVMqI+NjyvPR$`FHOD%sIq9P2jGLPOx~VzWQ|Kjl
z$+nN|_g8Z&NX_w3HHRbA?CYy$XRMmd32N3Rt67$&W?rV6sX1!K<f|E6q{gULldn^g
zY*Z6&R^!!Ajq5-)t%j)Oy1JSQBh`Evt>)1<HRmUaFH_X4nl3tKsTnv|P2K`E5sTGy
zU#6zTN;Os1sQIu?&9#kc_H0(OaGRQ;J0;dVYW(-BX?I9XwWDfY9~Xa5Nt|cZa;;Xz
zFRAgqs>b$)n%}oX{;ryTABdli)nq<X)8nO@+Hcgne5dBXM>W&Fh~MAU@Jo&LUp0?Q
zYuHv!!-xtRVk>KCQ%%FS>Kcw&YnWO`Lt1?ePK`ADw9#<1nTCmW8shCWv}mJ|_n8{D
zIBF>AsG)af4VAiRINMdj<n9_dtEi!&r-s{J8s__GNb%QT8>HcWh=zsXvK^(NNsNYD
zaT;bOYKThFP%~Y_=}Zm7ax{44YxrKMVWUbzu2w@cgGSENXym-OhF<+Od>*J_<q!=C
z!!%SMso}tA4VrNp>?UfsI9bEsX&O4t)NpsU$jsBwb)kmGi^czC8oIC4$i1Z+CajbF
z8^xzh8b)r_&|!zz*d_7o6<-fXyoWU89o10ngoX{LG=!hk@bR36DHk<#zM|pMH4WOE
z;`bd5>+fj@e5m2sV-5d2)6n##hMli9a!imseUO+wOT6DCUq58tZw(LrYA}`2Qmwp}
zg%z~8RMv95s+RcbT3*-G(!aKr>h-kDZ=l7ov6ekev;^2{xo)Q=%U;We)-uOIOC?7w
zQ#xpA;;d!4i<S;<TKN|jEgn6z979Wxr&jJ6(GugM<+h(z?xWE1C|FB&n3m@eTJrm9
zc@?9jAYL95WjjU7i!?1cnOYuaYe~z~a;HE`T(OqRYAqo;Ehh|GJQc0HHfeG0uVvLh
zEw)3nOdl%ojL<T8l$Nh!MAvwcov0;jik3suB*vLqmd(~ucb=AE3$%P*q$OjimJ7?p
z-&I=HuF=w9y_TUHwY=LTx!9`Z$aaZ;m+0Q3<?lZ6`=FMyheg*hEwfK(DRo*)=2`LS
zoL0`wYMF3Z%g3u)qHbu}dP_^ayIPF*wOoCu#r27nsn2Bmg_h9QV(+cw?}NyH(z5@H
zmPX&T=znVY@3)rLrF0A|qvKjR9ZnT=46CH$RuvtctaJ>oq2s2t?60F^a6KKD8|Y}&
zSclR?$H`_o8rkW{Z>eKvD;<^E>WFTqW2vK#4;^&itYfr`j;mdCG<Vlg*j>lAo;phP
z(&5)z$3$-(*L`#}^Vg9bsAFxgj*p=_+#+=Ji_&o*T1UA!9X<&<MkeVvm7=3+x{jbs
z9b>a~oXM5#0-fB?B;zU_$22luufxNrqeKx~7V)E>j&=ieWDV9a{~w8Qn2s7Fb@-0f
zF<`8Yt>bmPnkfEF5#OhYzcX~~n<a8{bhMl=`xc7s#S-6A9WR$lysO0C8Xe|!I#zCw
z*#6Z~ev9O4n~vliBEL)Q?$PmJpN?t=b#h)rN6Jyraa_m7lM?S~iT^*z;dzPUq7Ln4
z9W$=#*mGUS{hOlej*iy%#Kr^3*CQR{pXk`|Ovm{bI^Mt1QS+^i4)1k@e3bFeV(+Vt
z72kCn`6=?hb^QLTqkb7Z&gJw3{ZCJJMZH{$(=)TGo{d&|PSntI&sxvd+IqQusmHE?
z9=Ap^*G5ljQ$2cHJtOS&%x<Y?Z7V(d+UPmwpyz&jz1)AMr*tPhH9G5Q>Z+%`o1Sj&
zdVIU<iRvlx9(oEr^_aZ$4C$k1tgoKw{(2S!>RA~q_CxjT2-mYeQjh$%1!rRPT#VCm
zEkV!iB(agA=W&{zXBm24X6bpIqvvg&*e%fWp-9h1m7o!HvTcz4CK)%&yb?Vx`s;Z*
zP|w4`dhY(C=f*HSmq+ONZ<NG5M$f@<dUj3FvuTo^)l>8=o~CEk3_TNP=@~vpPrrG3
zGz%nOi}b`V(G#*vkLL<KF01skTBE1IIz5#)==r%(eA}ew<`zAtw&~fqLt>MgSEldL
zGjyNmIG`u_ke+}edb%9b)BJ?w`IO}Qw8VE-WX|c?d_gbgoMiqL$=5YKkvAldxAfTF
z(Np1`o>%wvoPVfi%VVkAQ}OM&o|Kn*dcW4w@~zByFFE=kaeWfoU-XRprYHA@)Zv%-
z`bSUsQU)HDHn6{}fw|=ka_-7NR3!r)su<)vih(CqGFHRDENcVW+6Dsa8fa19z^?`d
zE;cf-%ErK;rUs&I4Yap2P^P7UtM&#~w>B`Kt$~Pk2J9UTe0MT%s-xI&Hc;eZfG!5A
zcQtU=-N5?p2Kx6j5aeN?k*9&@y$x*jHZa7;K&YRA#sLPN1sd2CEb~GQ_=X#>jx=y9
z%D~cS(HCpLHQvCV1OrEs42($;yJ-d*WQhJu152_E<mQTh`3C6^16zs=m{bP3X$<_<
z8rY{dFwkhAmm>aK3>+*mFu1>L4>V9}uz|fp43rEt;6B{I*AWIbk20VdW1!tQ@oT(+
z#S;xAO*T+}s(}mB402pB;5AEh&lX#A4HV9ooGmnPbCH2bOT_<W;_GsWXQhFh)dp<V
z8aThsz|ai_-2OF4&q$uO7zo*Bp!5y{|L!!9zS}^py#@~LlR6wQ(EO0d9F`m(mAH<J
z?h^(^oHF2Y#vr|8VC*>qT`w4TbkV^0%kuoH)cKn1zahE0C3(4RVEA1FPWPo=4<xUT
z477YAHF|15{oFvkmj-sfGLZVlK>2qDR=$_|d^GUxlYz-!#LhR7`!4<R(?G-D26p{1
z5MRp3&(cO_mo?&E-pKX;88KEgQm3+!O;wD9Rx|S2%E+i1M(nMP9IRy|v5t{%b&X7}
zZ=`)gBgYyUNwG2Vy@`=Y&5X2dF7xb+#I-c?-rmTF)<&ANHL}^kh<|${cO8xBIvA<g
z$;cdMBOP3f9C9_%*UiZDu0|}~j8yAkWL{4rP98?~_YyyP8@cCYMAgU0Umqjm{EX6L
zMpgwHaSJwbB*aK~nCK2Sk{@a0Ym||}(V{2T$c#86%@d5QNi^b`Y-C@G5#KZ;=hBVD
zWQyJ_BiT7d-sBq5=Sw~cj0`F=@;{Z4(P|?#v__`rjMO)XzeXcX6(ftxMp~8_S>De`
zn*rj-KqC%=#l{dL?S{(ZFnJtdWc5hN$7mxf#~5if&dAd7MtNUnWWgjOHdBnuoGQ7V
zZe-#NBUNV^89v)cnYl(v<{9}iU*cUTIay>RZHbW^OC`qTMoz9U(rcBG?W-j}YenZe
zBaJqQj*a5;CduDsBk#5t$=GJ(+IAy>J0<2_Mmp`0xqFS&+izs#0V6*SO0EtYxphS5
z95b@}xcGchdf}9j%4duyXN^4l&q&mHsm}$e(<LKwFU#0fBZg~69$Yud{m({r+%nSQ
zj*;<qr3daANq=DE%tOibV<YpQNS&Wa9M8p<7e;txWZ7$}%UdJbchYa~W#305OFkK?
z^u<WgS0fj`iR=#}vwj-+{Y!f5kJ$e!`7Ui@co`GV%bM^nZ({ZTOjNCCqM(wA)0IuM
zt7>9&H4`taOma`0iRCp-l&@tXy|#({bxhdQGhwc8;z|P(of?@K*I0DfnDA<9Vtz9d
z-)&7q*qK<{!bAmo6Dh4s>}YMmx~+*k2NMU|nP})}LhWSYcn1?rJDJcsn>f|kgsrOy
zLl=4OW}=z930*gt)7?blo+ddnAhI4N>Uf&S?kzgKOjPM(BEd&&`I`9SXCfp(d<Znj
zd0-QSh;N}LZih)s5#n>C=!!B?H(FweF|i@m#P2wXF~P*tL=*RuWL}C1W2)FmGf^$W
zM0BQ!g;^$EW}E1oYocGCiKF=@tO`x^Eiy5$*u-O%$Z1Sywc?Y`#9zG$Z=>YUWa6A6
z{#s1LmB`$FCLZ)RVL#AB?jRFu28*9VOmrM7vcpVl8E%qetO>VKCX~@8c8)R0HFy*5
z<Hh$0qI;r=Z<9=PnIbuwYGU&=6Cb9V=rGen;VcuYW}A3A$AsNH6Up;Uat+GF)rFGx
z#U_H5m>98C;#y|n*K!lCD<z++OsrTfaj%hjtTPe5-o&U4GH0XI@L$opS@OI^{N8Hf
z(l!&7cbM?lDYe=qwsxDiyT?SWeI|VNo3I=(vHqaMcSzzrV#4>R_<T%aJZ|F736q>J
zH__{~3C$T3i_e<4_@9Zg=S?_YkXl?cG3k<t1D8#_yJDirHIrP!6ZsqB-%S&jZ<#1_
z$Ar^e6Y=+?cki3n^g!%C6rUcOaCss<_Eda-COLU7_FkB%_)7BnTJrwJ#E`er<L|`g
zdlNrDNPa#^-+z|=`(k3oR}=fbNe#bCFZ~pmUsBiK63-tK3;vooQc98UuPIb3tI)BW
zLS%Ub<Np+9RZ!SdQQ>YSh0;|N?5ZkwS5wHcQW#!cVMPsv<24nYSu0emt<buTf=^u;
zuct7yzQU3Q3I`i1+-s!pr?En#CJJs%6{4CcXlxb6HCI?=r*O1|!h@CyzwH(3w^nd&
zqY%_qA=^P=P&<X$?G-jVDx7gr<ok6Be>*DFb5?NbEcRR!l3f*9PYPq*#Aa88UG56!
zyD2>FE;@TCSfkL&L!o;wg)mQr%-#x$m(2H8SlCB&`zRdqRk-1&@Y-MW2Po7Gl6Zp^
zTtXDNe?=iWOd%&+<RTPCMk>sVQdrqnVSBX5#wc8gRd^hy@G)L;m8eiXNx>#rp>2vn
zmsAC>G_jqokeH#6o2ke>dlFl=!k8R|>A4Dv@)XwQD{L!JI8dl?sz~8-vBDjd#GzJr
zr&0K>72SG;N(S-IsL;Tq&`goo%nFVc@wG&uTR%n46G&bLNDc=ogbxzm2P-5DQAqtq
zVjn8@hba^eS5S{o(2bN@k5Vv?R_HfIk<UTm*EoeC<E4fZ6oyTdT2E3KF<IiCB1{#g
z3Dboc!b};PC39xW+&LmMS7hgjj`^Z%f#_T)x)+I!#bRrT*jy^Mmx&L{#g`T0(@ODe
zmH4<?d|e|xuNB|dNet^HmJJfqMyd0^(p#GpY&R=3+@erxt3s7+3T3w|{1iU!P<XLZ
z;r=d#Yr7Tx+oNz~uk^t_g^l|amLE`<dr)E0A@TFDLdg;F<EYp_rVx8vY@QH%ClxxM
zl3bn^8)sxKoK@trnZgI*(K)H_dFk~F3Og=J&t8(Ayezf5BD$_B6kL-St}6uIkRH3K
z;BZTH+?G1sQTQf2xvOyLo~(uY3L73M%zLOX`jLX^vH0*r;(n^o^O^L@bA`Gu6w16*
zcq3eYrEvJQBKNb&T70YU&pU;p_X;r|6g)qQolgq2KTD4bPrgXpU!{M(Da`*aasE&!
z{waC=CAxnrwEUw`^{?bgxL(T4zS3rvmN7HBtQmDVGkwdO>GnS}%_^8FU(w8S;Y=kn
z8!MZcTE#5i{W8n<8O&g1rg?RlQ^U+N;bcuSYpl(Tt7S%2+e}y;Go9+1sa4O+C*g8^
zGg}&nj)rFRjm$(fHsfMrrgjrEAB77|#YQtT<893pHa8PsXQoXHGZk8zc_bXLH#4u5
z8B1$3F>TCrZfmB7gPB*t@pfjGv^O)r(M+6^=<Oh59nEsS-OS-mBIj(z)Y(k9ix~%3
zGv&INxh-sU6MJ3FWV=f|-OSYMZsx6UtcS?-6hAQ&=wZgLmzf{JIZrdodYdWn5?$VA
zTK6&YTe#q3X1TBI_mjB&&9n?K^IbR-Xl7xM=m|FC8)BwWsF^pyfiN>u!p&qwm~o3V
zQ#r~kpK;8r>nkxtn+c6EV;gJcgK#L$%;b18=?P|>6U~%OGRwUgW)>w&y;970q?)Oo
zX6BBtCf$rVLu_T5shcHv6E<d>>7OI{%r#R#&&*?CW4@Vw1!nvT&D1F}b6;3fY{sZE
z<Eb`NO=ISouvja#(3$C?H&fbR=9DniXeP;Irj=smov_1fX0XMKe~B6Eer9e6i~5_%
z8(^m6Kr`QjeS^#l8*C<Mh}8QZnIkM1D)A39({8xLDQp`d`5S4L@06SQ-)ONVj2~kr
zVyx6<oSB=#{PB{931;jkN?!_VCYdRoEPXabdQ8|lRq8y=jQeymzl1$AB=(t7+gWBx
z&6d0igXc($bIp{QXXc<Vc)n~ekoXpw*)I%OWTxk0sjIMiiR5#s)M%NRFT&>KW;83z
zIIWbv6IQO07*<PvtTA&>n6p-TbDhMvUV23svq5UHQEK+DnZ1ItN&0rP^q8=6i^Q_k
zjLkMPSA~h&rA9lXH+PEPf?=1~*)3~JSh&Yb>|Qf9_nA2%4BBr-eyo^x!t#Ssk3&+&
z!)8tkLypMUQL!N`J!U5UxX7K5o)$_@N=;6gc_Pd{Eq!)I*6&%Vp-}jr^xQdFr^3kd
zX1ZSx9m1lEvQ{sdsd(AUE}`&>nWk6GoEL^%leKo;%u`{;4e6(wvQC86x8xXcTl(mZ
z#3B^ll{oLodJy{EH`D%s^t&+nq15V;)KZx7*o@B;GoOXUPh}lFGxJwi`&?ppA@*O&
z@k2;^CH?+dY9r*nk+|PVU4_DTW*WRV%l%KXE<TuP{83^SG@r!wXE{a)+An6Be3j>d
z=9|p<Zsw?<`eCNwPg!e1!7tJITk0ib|B>U!Uo+c<lu{NdmbS1#h$&;CR9Oqlh2U})
zJ_~coTj>2i3onET6)d<`v~WupT*)H$U|BdT=&D#~P}Ra-A-$UDv$C*O2(ND8i!iH(
zg`PDnJP?LiTWDKL<OFqX3$^Q5*e1l)weVY5P|t#AeG89-VGYDaLklN`f<_js8e3Q|
zgxXkmFHCA;!MUl0OM<SM=(4r2S%_?I;gc}M&O+xF7A^{!mKJK-OPoSTD+_OgF|Eay
zHWrQxS#2$pbFi>T@Mve@wqR~=p`N4Y6vCWDMi||}LaUAz4hhMfEc_IvJBuHkB_<))
zMfA8@m@l|@v2a;Xxml>()gtfRBoFQut_hlM7OHl)uuPzb>=V>IWgZq53*9|LRw(Rc
zk?;0fm@BySws1zs^pac&Q@kxW^s#VIi1o4XP8jZMp^2aPEcp9dxF;9_#8#lhCb$KO
z4k0br!dGEThy~kF3tNSNFbj7DZMcOB5f)|(PLUF;5FI5wAoS~Np+>a$D7eO0I3Xm&
zN^XRKaTcuOB~HOLLGmiZC0ckXlq6ZGmTY03;FMxvzYvyc;l7|wvrszS!bHI~!@@?P
zSEhyYLQ0l}w?hAHk<XES6dZCb>=b<SEL;&X@-2K21{O$<6v`Z-O_9VT^e(n=PDoUV
z|AJ91_0dQ#3yrlFRtTMS;*SuhmpTaP28l;dj560`k?+A<<hvmjmI@urVq5UCNWF!a
z66tH9pr7=*FtERcN&}=fg+>D<7ef0%;)@_JC>#?)hFG{NB>!XKsZcyrY9S05X5oLs
zEsPavkC6Ne%|}{TDRdYm>qO`=TIwPAjj`~b5H;4qO(Auh=n@LX%i0hO6QnnVffJ>F
zCRrFISWOncgt}8?O$tq>N>2#((=4nK+E17DAvn(ve}%3yE$kMUB|Rp1&9-n<@SP)T
zQV5(YIS@kUS-2oX%$Kz&L@kiI2+<2ApF->+3pa%L#p0_FzeFB|_@(kF#4nRaA%3~c
z6Jl40oDjWI^axR_M6VFBT6#hVStC6x1gw?*6MWWL<TpB`*6XE?LXQnnBcaPiSqDPL
ze=V#N95zY4g%+FTI3qOPVqu0*d#m(=P<5My5klGR(r?0dLAOKtPsrP8;jxgiOMDfg
zc1!*Rzdce9p~qgSkI-?Sh1Eif{jz3-x(B3xgo+0(3=)0_+Cvsz2^ojwSSmywv2a@O
zIx6`VIv=yJMrd(ddO)x~VPT|D>ZJ6q@J7fyC9*=qX~}`W84FtkhqD$I3ibYzJ`&2F
zlRg&S2<hh~uR_oTsi)B8qSz5^FIku-RK6^63m=56D^d#~_^QkmT(3!w2sYOxS3=nv
z(qqDNA>pRvLh!sLJ_xODTbL<Sxg*C5;jNH*SB}Gi_dUsz(E7g25h_2hU=dyki4Ucp
z1RhBr3e6siEuqvCIfe@NgwUr_W1+({si9EgxvU%Ejga_4@+fqBDZUB~UP(QLuR`W)
zu`l#`Bd;NX&09H^3*Uw8cXF&1dcPODg3Sk6FTz(L<D>MP(DRejRjB{j!au@0A>oT0
z<Aly%#TTLKHwz}=kr4Xb!Y;x7haA_0UqbdzStmk|U($y{t>2Pw;h7NrM`|zF|CN}9
zA3{c{63z;4rAt^OR4G$}PPi@fDO<vNp?<j%1_>{Oi1H=u7FztTgfYS=A)!JEhlO?(
zOPC`35;7{4a9VJ#T*54&bd?fvg#QHBswK=7%2g{NU$`K+S(PwPC|A9NJmH++TBC$H
zLYbN(E1VUatxK38{1(z`m2gaGSG$CX!WSXFPKlg*6#wd$FhY1Ggw`uzvrxZ&2_?ck
z!K*<DD}<^IODGmD2ri98xA0T=e?xZ}W>vKY0GLof=}_rLknWJ!q;#VoAT3?eafU{^
zyJKijx;w5QNO!j&Lw9rEAMcOh%-L(Nuhu>@JkTI{DA-N<6ro@U_o$pwJcyqv6m;e^
z1yYBCX}sf?G@)Q8Y0`#*0o<f?x=^r?Xz4>i3l8vIhEOn^2r7LW3RVy+V<>3LKV;1$
zw%n)EcU~t}X0LOI%vnOgFz!+|YbaR6=h?)Zy`;@9UtFbVj*!1!81lQNP*6K(C|FOz
zT%q7Mj*=~RC>X(A%H&Z4e4>8dP_UV=^VuuM$d=!I^DiX}$QN(<sbDBrL!3f#$6uuV
zJ{0uf0{IGug0V#KLy=H0kN4Cr>V3p6Cco?@MGy-7G(I>^mg1pcFjpy5A{0#E0cA_N
z2Jfg<Dir)dw9=uVA)AO_#(l7t<UfRht{fp_*-+4zv*aizuUw@-`A{&1JNPi>cdVh{
z5oIgdBQK~_DHMeBmg<$&4xjj`iuL)ds@h{U(W|Ki*78Ml_r-c*)(8cS*+}e~p`a<7
zh+Ru9vyoUo`W`kA^QTbIi1mC~+jUq=^g7mJB~gDCN0#%6nsr0LV%|};o_ppc<?HJu
z9#Qg_ke_4AIfWa9g3(+jZ$mNRJXsorf-sJfrm-5}e|*y<6trS1v75RlRuiR}wOPOm
ze)v@!xl5tu>V}JCZQ;5cA!W-@(4HN{X{G1*laEwsE%rR5SR41q6|%L}!yF=MJNLpS
zqPLd|7V?}@9YVo)u9KsqH916*-}E8tiP}jnnZpALch*;&B}11`(21SI>KY1uW)aUQ
z-Ypc2;sP1Fo0se+PLEJfmqk3KSWo-r3~77WD_e-xI~3GlHuuOM(y#o(H(_dlKX^^4
zKK9Oe()Ts1*uv-i%r&NSi|qYFK@av2Yk*iVmwV(Ls24dvf<bzlg*>Fd;84(yze(`B
zx?%wj$Uj8CaDezj?Tv6E$TKVy^ky$Hhs!-PxJi}~>V>UD9T^HLGJy-E8Ku`*$xDik
z4h4faM1nEm%v|n}eXQPP8&SrEf^v-J6iLVH4Hj{q+!O4d9eg%16jWd=XGk{5_p*?C
z<d`gHY~~}SrZ_7&OoFNUiJ4p{!!$L<A3P!7^ia@~?L?koW-^S!#Ge@oeq<V#Nj*!C
zvxxu5I$Qo&!wU+|5kqzmd9Jg9Asi(3JpIc!PV&`!_r)|Wk|I15G-Mt($*@3Ovy=$3
zEmUu;<T1Gxsb|*moP3KzK{qz?nnFuLK`*xQo}x?j4BPoY(Ph47J0B>z+}CX914UQ(
zn(cg`=pXu&t-PhspYp>-UXpL69I%$B<XRO9I<k_7WLxdLV;Oh(c8&9m`CKFAT6N5H
z&hhm+X943mMx6C#HpAJ^XB$F63Hq>=*W}wMCamN>-)#!{w~W*{*GREh%`=6Q#NDEn
z8NyyZQFyEKinTl<%Qkr+oU0_;E^kcW2w&`wXZo^*7v$XOIfzAEC;2Y#VLXS4v0IJO
zhs``A+aBvMkBfY@SG_Qdy?mg+KIc5kxlOA7=`SX5m}q}F@94p5?vZZ4xH5?&L_c8O
z(UUbqkp6Gy8<ROojDx<19<1UnsSkyMI*jE2k^WKdbYuzFNPO4~V<@|LO^zdSz${J?
z^QiNRo~+^yDUazhMzWW;<T`GyFo!e5J|SlGWF@yrcGA3O2-|tacc(%@Lnd*E$fw1P
zc7$`DxM%b^y;#XDlALu$F_29>AniGMV<fwINtW|w50f~^C-Po!ugv5apIsCi+A^0@
z#JCg+iqMe-oFmp{ai$APxJ0}w>WLmK=L+$!`ZKz-jLXEkCLVNSDVK<QU2N&f5-t+w
zhCZPSi#W%ZH{A>Enac@2yXAbKCDZwbkL0}V{9+=1@tVy4swqaZlgFgF;|ydV>$uI=
zcRh2_gQZ*`=6}|v9kV$~q<ivB6DF{iXQYd84l$6m+$7<B`=&GDoFwW4=NC<xz+Rq_
z?xFWHkhR<({v$D`1G72Id$K$>8yLnW?(p>!bwU@yIYH#7VnRbkvz-W%JhNB263%fx
zk?pxNm|<+>HVI$I2_2ZlA>NSjr9NOFtGP<7S7t5EnZPa{ko2|n=)ydX@QzGxT!R6u
z<Pu-Jm0OxJmhIf*>v!sf_Dtt5o|5vt^OkPR=Lm24_JbVLhh>~0%17rqb@`n&T;a=4
z<}r;J!3M4qD^gfcfF_J$6E}$yIV>ndGsdum+r*0!78IsA<JiU>5=0FP{D(6^3&ydP
z+r<6Mb!f^cHgcVqpN9qcXvi?ua+&DS!h&4XV=yZ@Pt@pPK{kG(FH1PiThhe{3o6l-
z+3e>rNxldRO45djZ0BF%ei;@Nq%p%;%OyUK85U%xHho#lQC^WMR#;G$4oqPucZeHX
z{AkD!R&th4WQ-FQRHZv}*v})ri5nIKv|u#rxkS`>VL@i9(}Owu#RC$>7k8R4j8&ZF
zBN-CdKb@J*ZtfB{VOWr#Ul_zPj`5P@iNuDMjAk7di1bxh@GX_-#8h^0i!Z+p3v%)k
zA?9;{ha~zYEcl*A{LXTY@q(m@?U!Z@<4;cVniNUg2Q3)MYR>SE)JemFGPGt4>p0Ix
z(j^NE%F&MTY~&)JNS9o$Xu}xRa+Y_bN)Z;6q6H&Z$w^+3ET#LTDMMJ!QJ(QlD)FZw
z16j-=9uhxwSdf?6^kNpfxJk4$VZnD)q66bu&pF<aGHqB;f@Tb18HagH!gTV-&xDx6
z9&Qsoz3Wnuc8p;)Cwaj)8T1|X2xAVrxyk3>s!ht%hEc5KIM4VhqnhStdNYfiTqjB<
z@uf7s@;i$;z<+%CU09HXO0;7%D>=p!5@Zew@=%MeOlBkJctg@G;!J(Qn9WYE5jksE
zkcJX8ra$x8&2=JY^ExGHOn>IFo9jf*?sZDgnEuRTH`j@r!|RlwG5wjxZmttKr`IV?
zL;5g_ZCvCnNphJj)TSGgSjS185<j;dqAKkf#R?8_k1z6s1(_&Ia|W}3z1$#jUVT9^
z>eGv<Y~U16iI>kDqY|wd$|Cl0gGl++9Yv^14<@sY6FeqPfv_Me6==!tEMO1U_(<}C
zdY;;JVH|&Qh`W4VC@k>5m<9p$>B(f)a*PLj`Mp}CG>z%Q3^s9^r^GGnUMNp<1~QlJ
zT;LUnia0l@LTi3!K0CO;OA-_n7b?)40nBC#XLw4SVrDQu(1borX9FjA$d`c`Nl6;u
zH^;$b)^LP-L@RFZ6r(QP7{?0sbAt~gE}<W&LMsL_hb^4uF)>S8j}p|UJLCC-1Ki{z
zNlKYRRHZe8naftr@Pt^U#ha4+LJ!8Xg1@-NTN0HKE6UM?5R+NOL2mJp#6N@uxv4~R
z`Z1k#9N{ie%BmIeQ;pUPVm6yN!F{5YQ`>w`E!s1b`E2DB4~SOY9H$`FY0W@pvYsQ{
zAyNe~AvYCiMi`S>$pNnOmV_167-eWccgC`mJzV5Du`9_10d@F|;e@l5lSB};vh##I
zRHP}rnZR=Pa*=1mtYW58n3}X<ATwCYA#U=HgjLN~N>Pu_j3At?oFsy%)vQk*D$<nR
zOkg>Cxxf=*R2NV3Q<-M;W;{#T#aSNmc@4QF4;5%k55};F?VKWlC^f~OoRp;jT^UI@
zTR6^LKJj%e&v=xk9-SD*TsCrqTf8OSkMckfYS5BCOk^3mIKzFS{G?9FPHF1Wk>8og
z8V+!U=X_aP9g?3)G@%EhS-=*K@h|U5P{+)s7`13kKPIz+J)GkqQGa$XWTPatX-j`5
zvz%R=<{qC&RM%NgF>2D1Fvhc(Z5-!c-Vv{!XF|TGD$VH0Xu{dVVQ%n>SoNK2<fkHy
z=*n>Bu#UgE!ZTw0q6WxGY3k6HeoSNu+c?H8UK6W<n39)r)TbkZn92%vaf-XVCtky_
zAUy@CL?gN|l$oqzALqDFq()*zCW=svX7perb6Lj$F7cSp8p{V+C`NUf(VgMUVikKi
z!+*RdZWHsJe3YXe?di`%7PE!JT;mzhn(7C#5>SI*>A?tQvzmRJ<sKi1*UWq%Kjo=U
z2L>>SC2Zvg*LhC#Up-5ajezPjr7J_2#&WiEl<Pd>^X8r%`HsR=rXjyEkV!0NGl#g$
zBO<pjo5(-`%2SVa^kp33tY<&xiQofqTdF_uP=?yHqBo<M!)o?&nmfE9W-Ff`$UzBe
z(3CC=W-^P}#NS*Xg7?I3?HPz16sI~(=*%D{v51Wv;5_$uN31s1B|8DtXiO&tGLeOB
zU_a;hkGI5Zt9QsoF{;vt-x$CI7O<YbILlq$@MSwQovak43JqvaA4W5qKiR<%uJDkL
z#A$EOWTzNaXh3`VFq+x?$qtTig@=43P6zKNJH@C%1KQJv(ah#gc5s9%Jme#BI(k3Z
zDMl3<(4IbwW;TDagCktwAs>nJoA;BQVpO34?FnNfGg!uE4se!#dBJC$)F^4mMRBUq
zfOdo!!E~0giT#}6HqVLL*}NwWISHu3FSMmM!<ohsHu4vzxy3W0bn!WW)a0NTm8nk~
zdNGWtEM^1$;}kb}O60EQ0;$MOQ7Tc7*7RfulL%)uJ2}in{^J#&cM}uRkb|OB<Y!vY
zm4S?74u7zfzd6foo)NjbJ|+cOC`4I)q$$7Amr=}MDI578C%MieJ`l5qIY~zHQHts`
zq#eB(#uOH^mfalXG7-EXdQYEaNk=XMDpQYEbZ0OVn9Cn*VLzw1&O_c2qnB%umK+qJ
zJU`Ktj)XCsDJ)<$J2=ESZu68+#OiI2d`ljRQ<=K7pbPyO%?y^Xo;@7p694g%s3EmL
z3NllG(p0AbZRo*Z#xsW%Z00Xca*YSPC3={1lr&_gFy;7>CUhXgFeVeuO183}lUyZ&
zS48cjHb_QB^57qn4JuNbrgWe;LzuuEma~z)9OWW+c*ZAU_H|Z~jvN%GEH!CJ8@e-)
zG0b2wYuU*m&T^ASyd!!){Xi<RP=HcYr5-KlOkYMYg>Y7~mHnLLDiORQYJdAD85zk#
zKt*cPln(S}2ospYayGJu!<^$L4|&6916-G+WFRMn`GM-xrv;q|V<;1t%~IB}lY^Y*
z8WFrC@<27pH>4#S1t~=pex?~6=*3{hGJ{2|W*hrC!Da69jE{UVNR5$-%;cju75RzA
zw52-(7{ye=`IF7;<0u!n&12pXZLs-Dax#*eqLia14QNFd`ZAnJ%w;(n*v&tj;TrdN
z&PQVW?hGI~-;$H>DNPmX(1f;hqaVYW$ZVFdhHd=CF)nb6hrA}r5b@`0Qj?jy6r&t9
zs84e`(u+ZiW-9Yp!3K75kW*aYE>C$+w4r7PNl8z33R03v{6r&K(}g|^Wjr%k#45J1
zk0YGp2KRYMq+y<2NJL69k((m?KsD;pjP~?k03(^qT$Ztp9UR~Um-v@Qye9H+>yVJ-
zWFR{QC{B55P>*J`qZ@r0$~dMI&I;DEgZ&)iJU58oIUk5NLJyLdG-M_ZMJPiRYSV~T
zbfPzd7{z4fu!PlYVK4u1nk(GlF>i=6(%d5vDfpHg6r=<ds7ZZ(r9Iv0$1uh-g9ZG-
z26l3Q<6Ph-_j$obqK{G|Bq1$X$V*Xvpel7}Olvw5Vlbnb!d#ZJhOO-5FlV^RU7qlk
zD5K?(1SBObnaR!fl%xVRs7n)C(}`XTU^wHM&U}`!hAr&jASbxM4es%jw?r9ZeG-tA
zv}7hX-&2wb)Sxa+XiX=2F@WKWXFBs)#u~P;hl8Bp0yntFQ{EC~to2DiQqq!{+<Z?-
zDo}&EG@&(}=*0krGoI<pXBlhQ!X6HCf(zW>9#45olyTN40ZB<qW^(gAC8<CS>e7VP
zbfOmn7|wX6GoNLwVGDaW$O$fRgL^#XEm6i>p9CZ!H5tiHK8jF^3RI^K4QWn0y3m^e
z3}Y-)n9V{~u$C?C<^V@I!)0y}!BgH4X@VXg4quU+bYvzM1qt|p%G9DBO=v|&y3>cj
zjAR1Sna2`VvVraF;}9n}&o%DwkQcls>O?UjK8Z=iw`3zPg(*pSs!^K;{7PFo(~JHL
zWek&<#R8VIhRy6^KSwytC2n$$C%onp(I)v^O(K$!mhZ?(0g6$EO4Ot-jcG{-x)H`8
zMlhaf%w;iuvYu`1<sip7$5sC20nd3yl*yhmh{rdiBm-H<MFEOZit<$DN9xg-7PO-?
zJ?YC}Mlg;k%p#nntYke~+0A|qbCUC1<u(yK;T0c<I>mhwm#;`h8ZwfNJQO0J3>B$P
zZGNFCt>{2kdefgFjA8=Qn8QMrvzm=;XD@$ql+#?~I(K-$Gv4rt&!;+nh|f2qARXV4
zgM1XG1ZAmAO@5{!ztV=^=uQ{|8O9hUF@t$5<`34gnVtNPLmcNUm$}J*JmLlKh&)Zt
z5}Sl1Ar%?OLM{qWlv0$ZDnC+>#<ZXvo#{zm1~Y<jOkoz`EM+C@*~)JAbC{Ey=PI{}
z;0dqzK-B5-Ph7qt8EME!Hu6x2fYOww3N@+2FEpVAZTXFE^rjz!8O|6cGL6}UvxGlb
z!$!8To4+{3F-~)VtK8y09`cOWd?3mU@g^4W`I=;;CIgwtL0$?`j8c@NGBv18eHzo8
zHgu#bz39szhB2B6Ol21HS<DJnvw^Mb;(r|ED5p5j6>f5u2R!8!?}<FqEF&iI_==>Y
zB0b-cojeqzC?zRNC93li^=QPew59`H=t&<2GL%t_X9_c!$0C-qiuG(^C;RxDBb?+M
zm$|_m?(>9~yd%;qJ<FHGB@szTNjfr-jocKV2qpM|id5rA>e7&Aw4yzo=|LC+7{W-#
zF_{_6Wg*L0$vQT(gS{N!Fef<6C9d-?5j^GvZ~4S$v-JvbNJwH*kd};OB^UWAOmWIk
zfvVJ^4)tk7Gg{J?j&z|1A^I_hp^RiK6Pe0P=CXh#tY8)E*u*w=v5y1%!!b^Aj!RtQ
z7I(SNW1jPx_e7dwzr-LG@km5sl9QVBWFjj$$xA_sP@K|~qY~AqMIGwXh-S2;Egk7X
z4?^@~5JMTsSSB)+napJYOIX1w*0G6g>|!4W_=jVh;vAQ_#x3r0pT|7sHSdWu*Zzq?
zEaH)f#3Uy*>B&S^a*~&V6rnh!DMux$QHwg%rxDF)Nn1M7g&u_H#~_9>lCex=Dl?hO
z0+z6XRjgwZ+t|fE4)71hIK??GagAHt<vx#j&THNiX`cNPgIL5P5s67oYSNR5tmGsw
z1t~&tN>h$XRHGJks81uB(UP`wqzgR=(T_n4Wh7&n$W&%Bmjx_g1*=%cCbqGQeH`E)
zj&X`}T;dwHxXXPW^PJbbC(?ZTCkC;IM<NoFoYbTz6IsbgUJ6o#;*_Qwm8eE7>QJ9X
zG@~VL=}2d~(UTB;8NgtMGJ?^JV<J<S&Mf8<&LWnwf|aacJ)79d4tBGT{T$>l$2iFu
z&U1;Y+~78MiQpkmc+M-{@_|U<o+XIJ7sMhi3HXY{BqJqhNKZyGlZ~9@AwPvEf*<Y%
zB`HHWDpG~&)S@<Z`GrO_r8%u=O9wj9l^*n_5B(X$5QZ~~u}okx)0oK|=ChC`Eay*F
zvyP2yVLQ9n%U}G>KOE%*r#Z((u5g`O+~FP%c+4|i@`m?(BFX}1C^3jh9O9FRZ%9fC
zQj?Bv`HrmQAUF9aNMVXmg3^?w0+p#oO@88M>eG-W{7OsO(4ODuLU(!*Mn4AfJHr^s
z7{)V+smx$D^H{)QmhlIxSjz@BvyGkX;eQ<95Jx!9Db8|%%Ut6o|MDOAdBjs*@S1mg
zB=SPNO?18_Ht|Tv*CZi1sYpu(GLePs<RUKx_@1H^rxZU>o=Q}u20v1VdNiOh&1gYu
z+R>5DbfYIB`Z9pQ3}pnP8OKDXFr8V<C7eYpWd$o)!+JKcl^yJ6ANx7TVUBT<Go0rV
zSGmD$?h?U6p75MkyyXLt7U_SY@ddGnO9H+kG08|t8q$-I%w!`cdB{&8iV#qeGL)kt
zRj5uaYEzeAXhc(*(~7oqpc7r`L2vrdpFs>^IHMTDI3_TODNJJqvzWs?!db{-ma?2b
zSjlSEvYw4>W-Hs-$!_-YKlbxChd9hpj&qXJoaH<hxy)6rbCcWL;XfjHz$2dUj2FD(
p4e$8CCn7JFBR(fOUl5bn#3eon`HF8yLNZd2iZrAn0~z^_{{z`y0)+qo

literal 0
HcmV?d00001

diff --git a/examples/ode/lorenz63/Lorenz63_fit.mat b/examples/ode/lorenz63/Lorenz63_fit.mat
new file mode 100644
index 0000000000000000000000000000000000000000..5bedb5307c559eac88bada0ed651efc93561e3b5
GIT binary patch
literal 120184
zcmbSy1zS{Y)b$J<0)mMNief7UDyV?n-K~$^UD(|%b|*Gs=h`Y3wulI#lA?6a%sDgj
zt@nE0U+_K8b*{mgVdkuRuf6u#`@ZQB)W3UBTaRW98hP{x>R*4t<Z0tQdQTfOZ^Fzu
z)BQYV&73=VQ9X}#bH<OEH-4PQ%o%<j{l?7m2%109qp^>NPZPf;P5c_Q@Mzqqv5)5e
z<3DYe9?tx=oG7ivhL3i<Z2#|LtpD%dCA~EoOa83o|BL?bb@2Tf&B}n;hdTyr{^b=g
zr`RoE=2ypn`K?L>T(9aDP|L4Ufc{PGfU%SP0{%<u5wN2DxB$-s%L3{<Yzt^*Iuh{c
z)75~nx1I*P{~Z%>e0Od@_l-7z*<Z>8o{p{=h{r7hLmu}G>|0_&;EjY8f%jT(53Et*
zSm5>GYk~O}p9aR>`WDzaJS*^3jAc;Z5Z9pnpQ{EfYuGSoSeJmH?n%9ZUY;2p6k2+A
zP+HfOLCczK2(pXX8niKdXOQEt-9dKacLn+H*cLQ8a(z(Lo+Uy13dRQAHg*c?T)%G6
zQfud+Cijv8J1)K!c;WKOz{aH-1wQ{79WW)dTfpy(tF5ow<vnijdcu?DdyhPczkC15
zqlO=!cw78>;-8ZCq<%p5lhY0JpG-Me_+)gw;wPVH=$>Ro=%18craW<YYkXogLxaEL
zEwJ>v73zJqh3#NRESTehm$gb`-)eW1-dGi#+SWw%2la8;*bJ6s12E0C3%Z;7p>oD3
z3`w7cK~BLa(Rdv!R&B%6r6K6h-~{rIUPQ|;w_p(^D0${RyxaePd)PmOB<hi#Y$cAh
zoMgepGSYKk74diRmZxD2CDyHl=*$5U7SKt2_w<nGcl(OR%z;vB$za)bez0i24wS|P
zedUUC52@OzgH(?3m%x%f;?})}T+1pi-a|{ss!wLz`S1s~Ykxwm77y{GaVUbD9>9r!
zO~~E22-CWc#fufa@cd%{%BDBQx23gkq@@Qs|8PgKcNzGnx#D+@3#L_e!JOVM_%f#?
ztme95So<=V@v}TOwyKPJBdQ@Rs1`Ca8z5_<FL0*~{Qh*p7j0iGDm?<D>QBaxVGH0k
zcs15n-i&YScVoqo!#FtMEH-Cc!`7w`;L+|ShF6F}nR^NN?Vf`)A2T8s+RFALE;6UE
zoLEowkOjYLN$CbYQl@T8i8&o8Z$@>JD%E<(^vivu=hOajzy3hUcs4+Mr}Pu|3cVyH
zsk5}n4ix{z&85M|dUCRdr%dWqMjkb?mpdB`n0X=z?q%O&QS<u<YI*^Yo(GU(-UM@S
zFxsu0fYmSh<GQvZ`X;r+imHteGP4%G?WqQz{#7t%WktB=xFdX(J9bp406AL`$4gZ~
zxgnmYG_wY(_pO85+D33&>5FflTH~3q0~VL)g)VkOpf&!7`^7VH%4Qix9$AOTp4+hS
z)IL-?ehl{AFW~958`$yT5wfnnMoQ0U_*_Xs?`OHV(N-f1b8O{7yo+qsm6Of2J!C|`
zTGF&{Be|h8m!PTvV!NS(?9+FZd98ZM`f`1x;*fqaA-1o?uIVk2y}L_TpN_KfavO;`
z)J!}l)D@Sp9@0Oxw2bU*FIkrqgq%u&U;IZjI{ye64KJhl_9IyFd^<Kqtj53GS-84<
z6nWAc53|}s)6O4ZXPe+wY<>K@TpQD~YGTEr8mLjX22NzuK=cJ~g!it41K;c8L#xJc
zUDzBIHnv8$IqfmbuREOo^oMTcNCdh~#-wxeV1ITchOOIxhRSvvciN9L&yFLqdMFZ_
zgkz=d5w_2JjRP0H!gY5dX4J`n=L8e(AGDFvt(+y%p{(r9sw}<U){y6`>&wZ1P32d#
zzl4-&D=TJqk_I=sN$Jp@Qqi-wTq^1%2VHy0t|?umk5dQf<K9Ms(M+t{*ONEdo^q#j
zIjL+}LiSi|#r}Q<1}%+2iIWkiG~y<{zB_}(Y6wOrZbq%?D^b>ZCI;A!#<b)8kg}x<
z`fLwEgX#XTD)dF7t_kM#ZH$)*K1kZy7~KMzV&-38)LQ9>rfM5J9?~8K`@7=e-9E6!
z5Hz|u7G;l4L$$RFVZ65rm0E4Yww^n%uQ&t~S|7)c8W&LSb{N*=J;3Jp7x=dDGXkFc
zg!9#ORQA&&E!0w$<~d08L^la3a+hiAJ>{OhmQ1PNNUH07CB9*6DRr`~?5)sA48)Fc
z-Q{6Ice(kZo1C`kB3@_P%b7cEByU`Esg=|~+~(Dg4Wlbczx<LiY@Us{cG2P5{A5gt
z_yq5TfKB*y7`L86XS)#8sJI1-ZmdGtDRXhM#01oE9fn%1`(pl(ZU|}85m%12#oM`o
zFzgCIUVH#v2L)ll<#rhA+6gZvcEiSty|MD!K(xyqfrka-k(e<96MinjowQXr^JfDb
zXKzQF&HHe$#Zh!!brx2Wui{Gn9pqPkicf~OFf52cgT2X^-!&Kh+e~O!!$v}yI?0uB
zrN!}NMLG7dn#}!LTkdRaB&9$2%Hr9rWO~OS$*I~w(m!>Q^3A%4cbzU0b)=JQS>Imj
z<pju)yq5CkR%0ocQAZqxd&(Y^lM}z4Bto^6=|>9?=ah)pkdG)o6R3SJ4EgKM;NiCe
zn16OVlH=Dw7qt|d|C@!CjVIu?(@6YzHV78A`XSS`H{wV3#IW2RC==Eb+c)>dgBks>
zx9=caX)qkGO=A!&lkjrkEWGzxjE56eq4dM`XcDp&9rU|#_3uG^oq7@}YeKQM*$pgR
z^8kZpMj%P|0p}{m!9OMy2dd^HFx8BkTW!R)x05*4FD)-!DvI*UQ%bC=C9a<vNSmuo
zB`mY0+?miuwqys%&e84VPe=!8xUhpX&S@u=jDeDOu9Xy9HJ3R5MiLfWOOn*8vRW-G
zqwhM&tf^MAeP0nWY*O%eP87a4MIgg)8<)CYgpb{EWP0zztYceIG<Y4Fu33)etLI_q
z%4yiuX9C8(9fQ(uM`CQF5qJ|n95Wt`!1srv5cX~?2Bu8FT6HS&o##MTVKG8>u7rcz
zI;57`jF<yEpgpq>&srS8j-jV<y2K^C>Jtu4y@&8R5`l#$KcGg-ScHv8K@Xc;)U0X5
zr>|D>CcsfzKXsL~uH_}-Srtilt05;U)Rpjijik=oX41EwpZMKuEg=Dcl7A&g%BKX$
z$S;8sKD&*Si13r*pUtE}d_$?6R!dek@|1xY<z;ifl5+ist&A)%qCulftZNpJ#jW1s
z{xsn0&u}z8b^&uQ9m8MKKK$Lh9jUE1qJh;KoZGz&%kvf>MLP#&kIg{E3)4{EdKv~F
zn}$YXW+0-?Y&@+yAC?|V;NiFuvFp|#VZ{b~)Ng^QU?=*{4T0OjBe-sH8oSD0#Jl@p
zNd9*Z(?g#kyf6|S-hIWAy1$WVmySzAi=f(R<)D+Tgf(!I7sE?Q`E~BHa#vNEF{y@B
z&8#DCnnv<|MN_fp+Cr38{xY>?YnkNLMi%~UEsK}7l9q8TWrVY@gw*ztoUU~x=%ANm
z233~23(82%NlwzXv$Y&tXTTcuA67K|0l$&&QR9f<s3o~@>=GPjoI;nWhwymw9t?T3
z4IX(LF|ph_Jgm4H_2O4xi*^};Hw9zbh+s^fycCv4mt$AqN+f%&!LOKgsOho^vtMk*
z7}HJ+xU&y_d519K`Uy18KZnK-uV7k<TbP;r5DD!f;9dJYOgq29W<dhle@w@&y+yEz
z)d;rP$mAg<B%pzt95IxWZ=sc?uUB=s)~lAZbEz+{+xy6*PfevLq`7Qf+)^5h@skt&
zeo|;`AsJ_V1%6Fr(7Oh5XJKu5I;^^kI9W+*&MPAtt+PCsYa`~rM$GS%jcP*^@T^G`
z)@fhiQ|v>WetQExaiO?lc?wP19EQb;eQ0}kCk(M$VfwZSr%r5ukN0}C8MO{yTd%|B
zd+QMVW<7$YY((^)%~;fK8&)saiB5I*;?L*<@Gf^0t$Uur8Ji183A~Eo#+xYge~3TI
zGmQ3si#o+o=v3z?R=oRzwCG$+X{n;p980O4U?+|voMl#YDVgf;F0&U_k=1jn%c8Qi
zWM_wZ(ln)^DBl~)U;AbfGs0JNPkp6LJzu%Dr>S&Od}PM-2J%&{Ef1b~$%(`&vTk{K
z$$IQ6Zz3IJU8JSFeyYcj!5OgJ`U^YPeSy<|uMp7UF-n)b1-Gori2HCBr>`Ez#+Bqj
z%Mh%8w;Q<)c4BUy?dVl|8)7eQ#hDLVv1RKv+>P6geRp=^R>eKIYZU_TSqIT)_)&Pg
zI*IHX=P<O=W!PEW!2HQ~5#H?yYJ|Q(lNIk#_&OTj*8D=VvuVhzo`?KA1vwf^X;;Ng
zx^{4q3#^N`=arKkLn=uVt*1oyuOXva)s}L{>&dop4dv2&A4z%CSk}~QB5~CH(fx_r
zzM<TRuPbf|-cqSfb<syv7L7%Dv5#_<%QGBhZ-JGRDq+N_6*>4kFB#oReMk4j@8R+A
zIjsLaKo^^v*jf4t%9K2h*xZx2d;KUnw>^YIhxg-M*gh;;vKNKvd$7;A2e;1e#jB)!
z=yQ2LzNiOr@6!>qsC5GMOsA38=K@++yMn*dZy=({U5uXd7%#jd(7w-Glu!QxubepS
zACin+RWk9kNf8{jn6YD%l^hsmF9RDo%jP0CF`S@htW-&64e*d%zFwla=q*<d){%BO
z^~CK^1F5&Zq0BhnP*xW<kn7Xy%d}E;Wqppf6qojrwjotz(e?^bSfPw$40Vz0>Graf
zyz+BUaBo>Q4opeLhy3qo)$}7u2E4>(k0(g~c?au)!|*cy656*tkG-Q#qf)yQ2unH&
zck1_~=7-Vs`ytdSdl()59L9@|M{%X$alAfy5@)uZ!8r9iF8;ZMSv{`fd)-^GU3DL6
zT>)kN3zTpC4s|+5A?;ZlHXTdC{155K?pA=OHbxkVEhJ!xt=O3zC3ta3v5PA$%S*XS
zbJxl;PCO*Iq?f$>S5w?u*Oo(tb>xawJ^4DKp6u1t6|YZq#7vE^+Nq}eE3PK*N>r6)
zhbxHjVHugVwWP$=aFm=g)>2emBk$)IVz==hc3UK%;mL2v$a;@d!wYPD{{%y4+(Sle
zIKo}8A=c><w6D+OyZ>379eEmOYM;WOeJAno&`C^datc?6oW>HnvzYCF9-p#8F|_Ix
zG<$O$A2V*^{@Qz3xZ^SUI6Q|}-fMWb`-m&LXrz_+iIa;`kk>d9rbdMb9dE?t-xl(t
zysf<H?I>fGx=7jWrNq3ToM^o(iu<-I@@T)OjBVy6We3!hCV#xe^Jguo*s!)Fe6A%!
zUwDh+P*Y6js!Q*)9@4T*WqD%nE-?p6%am9b>F~!v++(a|<8zJNTU(5@*O|D#I2i-4
z#UXPA^IeIAXWa-?E&Bv*AK%04YPWDDFbo|^T}AZXODORq6hpRLKw$oPY|c54Da$Tk
z=iX2>_PGT6URTiJ-!&{U-@vLZw=rqUeFUhFp^trrR$i~sB<ei|r$(XmfH?H6kcjj3
z|Kj4h9ORVMq2P-d^P?^0%}ZO^6YeP9+g;>T*HU5|S61dWsvr~nD~oqVRq<<5O>(tf
z;@GW*46>{#gR9k)=u<Uhz#1<Z`=Xj$o#P?tyDQ7WW)<Ys)UtBBi<_KIc9KJV?PY$b
zm3XUW%zjw}_ivdv);R^En#SY!m9N0l_qe(271k#|MUnmy+=)G}!EKm2hvS-U7`~3b
zhTIWXvH0H=Sle91oJ&`c|MeOwtm11I!ZE(fZFC-W4>kTgL|8nqF(3kt_HWSK_XFlX
zjlz@*v4}|c4Tp(;FtlM70vPMy5h|udX~lY#wREd%FR8Ce$c&yPW$m?6^eJV<@`Jk^
znO#Xf-K`?+_It=FO*Lu#ubOP`R$VSssV?tESCd0-o)XZassw+pBonk1#N}~W$*)>U
z`m}VBxs}QBUpAuKV<FS_t2oxM0Cvt9$m^C2KhqD4Y!;3C#t%pv^#;CUB2dpt;MnC6
zdN;U_nqhbF?%ge9uegb{r{U1=3dfwZa74;YguCBH*^E0V-|Rl@b04CAC16VUGn~Hh
z5>?8+#fk49F<JK&j??4N#wP(`t^eT1rc8WtEI{eI20Va9mhj8IhS<u)A_qwfbQZ6v
zt}=LXX{p<=oH$%}m&Ly-%G|KZ5?!IH#JPIN#_b+beT#?ewDORnhAL8TR%K~1wW8cA
zC@)>hmzAU>H)$}@MKt8jofum={MS-0WS9|KNrxP2`k@AY5!pHs7azyr^5d`g*y$tm
zqa!iM`6WK}d4`2`fs})faQe^#EUa@M7dqU7Z`xgGotghPczwPP*C`LNY2ITT%mTJY
zJ;T*%FH!mH8$A2-9`y%)!PJT|_~#Rk9(xkeu|*nYmd`@<It3Uq)`0dyHPU61r3|}m
zBX45t#p6#2@%`o^{g1iHaGx?_zpk7#-tI2d+g7A^sU*sp%2Ljvig=Z%A{~!cmg)~G
ziSyWs;&jkmXu8BZrnK}Za+Mz+oaM+|N6Fwkq0JyGIdV%QbDJ8_#w#CR`edN<rxeTx
z|AlYXvCw{r!tQF+9epIa4ts@Nog>ghp5pN{;7^Yycs2YnN@YGm8|4v>u6c|ltDm51
z0q{NQDGEIza3|^|I%mAW`TyQyyYFWV8Xb*aaj}?i`WI$gPsV=bFP1OO#);a6@Yfko
zX@*9e##zeBfi}{&wY@xWDIpV{vxfC?l?qo%iSBI~@jYKoMmBbr7vn2PLd%M>|3XFC
zb)}*#>sV0&=9168^tgM<$++ER<fMNoNjg|kg6=uV*K-ciah9zNt!^b--f5(7u>n=*
z79gs67OGZC!>_4{sO}Mupms5^kN*P8{13Rh@hyzUUn8L9OGNgIfK%2pL|Q*XuLDo9
z`_xnP_k4!NuFnxZBLZE0Ut++x*C<OLelGbvQW|{5_zz#vN4}%KIUXz5B%(p5KS*es
zfd(^jar{XUj@MIhD@r44_gc!Co;ET?v6FMV$wx<LxjdqzOkd$9=@U!KFz2$eXi7PG
zHLtv+)+F{|chSvsmpHAvMEI0v+{=mo!ZNaBe<^9oy!fOzOS}Fhq|Hiu$=hNh7uHzH
zq`4Xy@Xi3Aj|J=>vhi*HU;4CUxDEV;3g2V#=T$V!b-tjo<ws2K_YUtXMZ#g!Yq+|<
zLai<@;hOmZjVxZ`__~*9KkpUd-n@okT_jvjy~Egw%#F;?I9Mhc*S39!f1h~Vr60CG
zlY)^o|Dj@R79wuvBlCt1)t?)&V5U|^DVAch!ba-l+euy4Er;z+a^j4O+~49Vofx+r
zmrBdbuVrM<jj|Hnx}1EPQ;svda<cz(S!r!7BbJ{_%fJDpr295kS-Q$ap87e7{;7jp
z_Og@bQ>>-M2@6?y+>F|`2F%!8fSrEC%zK$TJOv9=e<S7H54>^zj;V~%+`P}Ix$Ywl
zY<!QO>RYr<h(zC}k!W7<2FI#IBJFx4np}8`3EKDYx%UAsZ$BZ(HwsVlqv5ZKMZv&$
zJk9%!qIb#YkeG%$wKB2qU@ivLE5iP72H5X1<6%t;nXuAI96s1cl%u_zZ0INzn>fjL
zXBS!hprq)1++^F-Qqpj2X*pf8jNF=2MkcN+BkrBbNa&r?vMQ#O9J%Z!OIo;!&1x5!
zveQZ8raH=y%Jwqzs*U`qWhI+KwDL@Af+<0V<3IC}Z<CE}lm4NBODbTMh|zt1VzCm7
zB-<D`FZqhP{l8$y{!jQwZ(%v)173f9k9l|BBg^z2ug-lyrz_-w%V#LBzhKt)udwoq
z!HGYy_!u9Ld*u>fw=)?@foX`To`DZOIZ(zH;N4XnavhEEx~q}-X%<q+)mrlF+RBc`
z_R_zKqijnnA=@@P%Lk*2RBJ`92DnL-CF|FkQeyY0lqi==iA}#!a_5?x7@xa}XGlr8
z@9iSnRyfJTGmese)Lw?nvz0-OtmS&Fg?KF0h`*nTp<9X(Y{-NAzAV(5_z$+hsaW`(
z`n~BF2JQNRn1b)<bmtq+#eRk5=qMcQ^aVLPiOugb8npk6-4{P2dg>SSUl)Zc1z%yf
z`3+;Af5*xyKTwmiwx=f(Fi4Uyy?h$1Po`sQ|7?7$n-4>kVyvp6prJ2)_i3#powJm+
z$F1e;23zSi#9sb$c9hr?CFG%lvkdI$B12fOEvvXnP?)R4Sh>l%vTjl?#Z@-Uaux0U
zl9Kw&MV{?)me$-C$lvNH!(Q0S&Ny4~in5lBJC^ccyH;w63G*f!aK@_$FU+~PWRrzg
z?f#)2QmHdZD7p7H;)|Gr^k~DVKO5@DphjUdMwO4o!;r6NKJzPjpZE%oTG1F|^$iOe
z$6(I2?<l({4xcvi_u_wH-JC>hY@32pozvjAA{|YBXCY}^9!l60A^L$HAD0=i=%hwI
zthA7ytRrJQZ6y7htrX3-7q!qqw)ZU|v)4Px<E_r38AIG=7dbYrBzuXHvNX7)1k^1l
zV~)8<NVKyYi*^#<QzgW<jiao)W-o75TUl7oM&@;}lDM80@}!qW${kbj_?!+uBMOkj
z`HuU%OdKlv4?#t#xZ$3Rk?Rw1Fz^>byTv0RG!74k$0B<iu|JK0eqIb(1jpdnml%XC
z{f-B7V-a*a4n2b6vB&inW>!x?!ki?mS5mO&ZW<!bq+{v*EX>W%g}!qkK85Shlv*7V
zYUUhME9W~~N)7gZt9RJQ-7<Fac$K{zdr!>8j$*GXA(@d*5;D`7GdE{>QNcxKR&kMT
z|D5H}a%b84!%2c{oJ35H^7pla44h^!ozrb)Rd*Yy9AYK2-&;tcqLD3KOjvTv0Dp^O
zTwRfm7alp7pOu0AIe$@5{|^E#C&P1AB04Smjd{^O5wa{EF>`<5-n}?f?iGiTP2w<g
zd>qy!#Uc6957d1ak5FPA8u}YQS0o~MS2EmVQ_*U`Uzm*PaQcvi(@%4;=5qmb#l?uK
zt6(nY?1>*V5<1aB>J(W@!UF1Q3g@e>>}1{|>dsyV8BLDPA6`N_X`Q5aA+bGnl3kyj
zq|8kxc|F!imi{UsQFTj5$F9`)HV)!I?R$NTxzWx>^6py6=t`C{c&=7_H<)p#2J7Kl
z9iFc*M8^?%_&GQm9am+bZTw#xpYsRJJEp)mED6?k60mQ`Z?x#}3vZYF#2!OD+CPs+
znQ!rU<MR^_KmSDXonMIi`5V96Cn6>_2|XnRvp@cUYsr5&9Gro&&e`xJ-ppME2wYf<
z`BM#8KGBFGAB`-#td$;BIX_r$#o3>=#8tJG8eQ$gZm_-F>fj(}T^uFshNIN1S3+VI
z)0Z78A%nM;5Xasn<XeiPSoCs~t=k-=<{5jb5n?CPC)&#JN;Y!so|Q~#Zz*>~D{p-@
za<-2Vhguq7+pri3eg&93J{J{kXJLPn3|vb3i}sO!up}!52YV-@PC+6xaS7;TlYpHI
zej|Z%zQ;9wqxpZok(Kxxo~ILV^<*N-{z$^AUMYB}V{D_+;QsR;oZT|9aB4PsrR1XF
zk^*%1D#r47J=z>saeb^A150WpWs-&XQ(smVGv_!%U){!5Ubbd!_OO>(iS}}Fm4ozG
z81EjA(rJOCl$-A;%epwqyL<<+nC~D@-rGw@OLBtwu-}gRcfYM=)k!N!?qw;1a<sB*
zgGM$rHNkzTf*Tukxc90MCeM6?9?n6XR$1_|&p@c{KRobH!{-aBIMXKu{`4p25lMLV
zED`S~C*ohPL`<Ha2p{VDlf_ABJb-hT$tjo>o{H;@((sf#vAUCv;JcZKiqFRAYI!KT
zssQ^6ir}?SkGmEsl$|DoZsUI1JFQH$vJ_JTE4kFgT8ewy$l4%Vsa)PpB0kwk<Wzh4
zmSivb<__{;f`fR^bdYbo9i+(7K{}nZ7f&~PnL64|_HDP7jmK@|aEP@mU1%j$J6cMp
zjfD(-q><boCM;~FQYZC@C{>KRhYC=!bsj2dbI>Lu6GJRBu(#_!Oo~Xuxdnf)d~_<-
zuT8=8q-5M(o{aItH+W()!o!o%pk)fYic+vEEfwXRS%b#?MXx{quzzm`YER07aYPPo
z&(6b{V+DBms|fEK>QQx*g7_38imPg5eP^vqoNOV(S6E7&4OVhunYElBWg|W7*h+M)
ztvsD!C#gwxGPi}jSP}dACH9gw!Cs;p+KX+po$MWICl#L9%5`g7`PIlqcDJ(@#~>?t
zSI<(mJ6K4ypBnix(2V67Dn72I=keCTKDH3e&*Wp?mRvaR%f|hPOziN?fX(H9Fi!l7
z2ZPd}Tlxn{+_&(amI|G3D$2D?Ma=9})cc)^)2shrHs3R6_+Ql9@ef}z($RTNCMs0Q
z#-`L9&Jyzw{+4+|y!SPF%%x^|4>h6*wPZpxF(+!pm~0_Yv6fO<ti)oUwS4GjBPN55
zbl7MsC-k=Dvz;_vZ722i+sT(LcH+U9t}AUP>7m5xX)7m}*+~8qYw=CDlI|8(GQiGK
zPHQYAG)p5<m(2J&*NC823f?*D5ua9s`QHmrBPkE6LoU`1$i}@FnXn(5fqr$;k>U9d
zC%gW|BhD#Zo2H?-@DGNk|G~3TY3M#94R`fvn0@mvHXQlK+MSMB=^1#}JqyP^W@F;q
zT#WU}$4Z+*?za|UZ?X<Gk_{-IrlNVe31#MK<jFLx{1|Q_VL_I%tvvhXpH||u+gg$v
z+DL2mk^a?frN?|*X?n?4T%Hp<<5}{kt;`=`E4{R~@_Lhv%+^^;(_Yrnf2Wm<cx)-|
zKP+TbhE~GzG;$@$jP9{U?Ej$P;cGoEy)TAEav_Y)1(?!54=3;DAUGf!eaUU3WFYEk
zI&S3rLs9pC*c$T}*?az?(TcxN4*ta<>YF;0I8FcH`Ys*%XBluy$V9kjHqutJ)@k$b
z{a`+Nvi^RwD@NsSIy}B=;Cxes&qNbE$?3z~r(Ky$t-fa=8&_G%J3lM=l4vE17FtVW
zk+ryy-!b&Y`N=l2MPn<T#JD%rMyiL|$c!;IGKW|<@xA~3wh~iQD>=N-Qtn=~5YtDk
z_+@IOr-ep3)ij}f2Nmrm8t`<N4yM;d_*uFTnG5pKy&xA?cIKd0uWTrdvtZpO6W!-z
zp!KJ8d>fXI>u%|c@jooKPRIGcbR0aFj*`9^Sf0swd1NLQyv@RY+1V)RlZ$2B^DxD#
z00VavVnf|x*ng!)ZZM!@fC~R&BW%evt4kV*T&$Ii0TxoAw~#n`O|SM=^8Ewr6!&7b
zU9y(L#1z=TMy_`wMrvB`RyMN6h4|lCOVA8!`K(yU-Fa4Wi#ZY5&{7&Nu#jHYwQ}w^
z`E0Kd%?J}to>KARuK}x@>v3aeF*5Xpn7^<9&7Jab?{O|F?#O}bs%)f&WMSdwOtfsq
z3mNd3mjPeS5GD*_&0e1Y>-Y>D7@CO?V<vh&XAgLp8gMfQ7ry7>P5FGDmngu<?}ez?
zzZju$Iy9bU;MoZk<qjB8v91|yhH0d@f|flWXI}J~ex8=n`KG0eZq6EY!AgQ`t)+J#
zYq45yEr&RpJ#d-%ebib;F0z)eR@SnHIUBpqO0-T^vT?PgG-p3zA7~*pwrb_$dyPzT
z(8$HrCfHH4ZVyoK-*Y{7w$fqU(;~DRT8JgK1z1Oo8GS7mq1SS7gn3x9bT*a+XF+G1
zg%<beL3d}ub5|yUZ)L*ToQcS3S=esO!i#I!IJ+tb6=vt+b8sG7AJ50`81_f>?Dtm|
zqaaO(j3EYOGneXjGUCYt6TX+$$i^2MDVU{|Ms5}|@`8oj@v)Shmo4SLa?IyhR`TGE
zl~g0Heh$|1t+cfS^RX}geVfmB;_H9QSc&jFK*Rcs?@87ndkcviua!FY{wH5Fa{Q19
zikA^Lt|}<q%7E^lbQn0N7}?c|uq(9ylR#dF=RqVF*_k;w*D?n~&t;=VvuwOh%|iHt
zEEvMGINQj=G^cE|nof<&%*N_%ImqQ6d^N8;<dw~bl_zKN0fiVps|fkmiqT2Yp<FKm
z3ePJTYQdTHQ0CPYGg=30WRN?1nrm9o`B{k91J;rTma=8HrBwN2DKF}<Rt>ijb1=Q}
zMh+ZTSxM1ED;eo;B`dif@5Qz0*3D8H#92to5f)<cMJpZJPzO(FWV+sr^XE;N)th_4
z#R_{k1FH1Z<3I@=u0$2##FawKU`>uZnvcr&^ROg07iT);!ht&WvP%xmDA{m-Pv0c;
zieI_MXP<+^!*j6XeGX&<&*j+V;T-vK{$f7X^ISmU=|XrvD8jzq#c1!UN6oGVxNcN{
zmnwc)o8S^)hOW6r_Px=_{Q+9}^i3;+ds#^GeG94WPA@Wvac1n+e7BTGI!ifaV<jqU
z&bv%Y>HE@BG&?P29ea<6TnmZbY9VR`3psOCE5pn3v({^5bAlNzmrY2R#rQT+QJXWh
zucC+7-v5p9!cj#SGO`exXBVLF;e5`W^LQR754UgRBCb;|4j6JUBQghj?&qNJWe)uF
zbMV?f7jhyOmY#WN_JF*Yo{w1H0<540F10GcY^!2?cGV%fwjKpt3@DhP;NLzK^1z4@
z@g^KEHsjtJjr_4<Z@f$^T{5*2*~dbfQD^5DTF8;cmXbQ!Qts22T-|O--)t$pm(rsQ
zqZh4XDe3<#q{&fgR9g!f6Q`AHleKb+wfEsvjns}X<8&x_w9$we<5VmSQgEl50o_=O
z15Cx3W-7u0=OVo1?0oaY0-V2@kEibWXnr6M6@8eK^uu1aa^ZS17Z#z6=i6KycFcp0
zeeSDodH6IoA1A5FyB-wa&ALLgA5(;P-HPGZPKQ<P_1M$HfUUz6oSI5sxx|RO>rE);
z{##BvdZ7mz>0VDOu6wnTovY<OvxS`8Vj+hj7&peRMM+Ef#~vfrgK;gznL&|-JdCuE
z`kcLQ>R}<56|EdNrj@zPwX*u9MymCuHk>u%<4K-zp*}ul9o)TwUV4E6&hzw`zeI-}
zTZ{4aauK%27b3!=5ZxCQ;ATobdQHhkJ==V^KVpsEng{0vd6>F54{Jj5ko-0ei52q^
zvO1q<;PSC-H_x}UC`8ZPLKNRC!YAtg^|?B98m&kD{sts;SMZ^eiUDnnh-_)XM(Xqe
z>S)+vjrb;NB)To{`H)uZ(zFs<hgilCFL5sorDtND?(xt<hJ{&3{s9XaHP=E)1re)-
zg=F8=%F}ULX<)0BL7XcrZmN-pHD)C3W6yBPh}M@>RKLk{YEP(HAN5F}etvM&VZ47a
zUMwy`BKwKibqbMxya1OuLq8kI-eOHYI`+%QTfcnt;dQl7KGv?xN2?e4u&Y*pKg4>z
zTp?1g7NYE+BCK#`-hL^@xYIgdsUB5E7*M~hf-SXGyeY}KWuXxjzM9aPy7jTOM*bbs
zNUTmH2fAvd@gA+b|D=_x))wN^z(T%vwUBPZETr!!&PN7Xh#mRs>}er`3bZogp;oj@
zwDP+?H7`a(zH7wRou4z>jQiw}<#{7YJXbOOH}_ag2F&&}K+{c+@MSvcZ!t8s#h6Ym
z9)4R0U6(>Uh%G?!iURogvA1(5z|5R{NJc(tGoFLI*$<4P7T+$w=t_myvbPZC%0=jX
zrwD&X7Nc}29g0~4jvmxQM~{>2r=USe6$esO#NQ>SH<*y#%ZyXD8u>IvBP+RI@KCFj
zGaa-teWg|=g=xi19ea?km5x>xGL`kl-O@tFlJiTsSB1;u0kM9eChPPX$-K-OG*~0m
zxvv)1%8a`6O-Lo)w%=5ovR3h5GX-BK8Q^<LkI*D~f`&R=Utf&x=|yNUx(KyX3K11t
z2%j2-ut+Sx*Bb?}I8cCV?Bm}t_7$HNpr)<>U4sg7_ede;*cYMC`Xbo56~pUNF-rE<
z!QHIGtlN4tnrFZ$Uj>B*1;3xDuw7$BzqTe^S4=3+7<aA1yj!G^rcX3-&7_g<&9vN~
z(8`mIT3N+epZ2C!9Pevo>n--T=d{v!8`pyRRK2xU0?1?CD~*(-_6=vRzx|~d`^%e=
zIL3sXXN`Ez^?mE5;?6h)Vdo8apRI>|fFAAk>)>xF#`ej@xRzRkKXZ8hE=7oYSctYu
z3*pwY5N8{+&XDW7n-(IhPa!;36{6SELaZsx+1!F6v|=B!W@0f0<&)2w=_BjtQR0gp
z%T^iS*HppSzY0pQ_wU@#2yZJBaLt6q{mr<NZH9j!d*js_dCmTHZLUUKDr@C$fL1OH
z`Cn|0=uO^E=e%Z&Ry@0D<#S!WW~mjAFWeVDq><6|Z2QY-WXE1JE*6+Dx(EH_2_vTF
zsCd$bdy3l>Xnz^-nR`xYJN2+E)FEOlV;olu&oRa5&0f80ND=Zn6~WBd8GaNZND867
zQ;61&3lSMzhyj`+4EHO7@7f}ii7$dx`(mWuDaM}WI-D0BZui&2m+QG@2WKn9n;olQ
z`DzvEwTzhl)`)<qCY-Z0qi~NIU7R#x>Z*~6#GG_PBPnqj$x}J=Dx(#t!E>O@(W%6k
z>A~9L#7C})%Kf9Rr!+ERCUc@0-^+c&-v61=^pgpWElfCc(1@GGDjM}yk#b$Z85aeO
z=NQl-mNDp}$0*+80M?N6A33w0QjAZo#aP8X=2lyau#p^>_C=`BvIs|77old~BFtb+
ztuB%W8AUkQsu;$D#aLmfgT*2px)teQw~X^x2LozwUKq^$@uR1FGFioVOC#1FGGax2
z6K>x(;Y6Sr^2m&#<uy{iyGGVgvn&0NPa?l7e$z-osz!FQwz~3~ltRu&X{5qK`q9J8
z*?Ah-+fgH<+%(cU%nVIaGge%s7FILCu#;=5s(3YCMF)QOIBLkt3kFzLGT`t&Jq%^_
zm~&Fcy=@&vMi(PyHRo-_5pP+Hz2A#a_^1fY!iw-;coD`wFM=tl2yeJ1K|PA`U|%t2
z{42)nt~xxqspGjAJ<guyET@J6rLVBow@{EAp<pD}x=A86Yq}A!)ah%BOvobtT1+;h
zU6dI!DriL4UL)-$Yb2FkY0FWK<WP&!ZZbcqY2B}qzsJe<&D<NDu95668tLPqkqmmO
zxJ72p*v+`H)r27>OsKfQh~*{~F7s3jXD;Q8Qqc3e0ht30Xv!GRAIG!(jLY5KI{a#(
zLr30!*!g0}>|zvkF2=?B)LjpHVqQKCigC0{F`CkYFXwv_)7T3&)4{xzXB;x=GY09g
z@s%Di0jxz24QS3;!@<W2a)VTSV~t4aV8r!jMkKT{q1ttNgGy#ZuP{UX&KgykdQ0so
z=&O-ElQgn*p+>@2kl!oW*9L3k*$nCu^EEL@BhJ+{lB{D~Pn$8f9XS$bLI(3>UXc-9
zml_d8yvtUoxM^09v{Iq(V{O`EfK7P=_FZJI(GTfTS(AzRZ)Y7e4mw<AtY^^sAKY7v
ziPZ4Swajt)iEqUDG_n{A71l9w!WgW>gh(CURoA2KT0I`6(>t>_>K|!9NqV{p_Y~A=
ztfJteih9+I*c4*KOB)j|&o;p++JyIw%}85s##H{z!&5trw5m?6rq3Qhz8>$Xkqz`t
zZsdDU;vCV4``xUym)INJzQy^?L^E<rn&EVVKC-(B&wd*bLI1qdsABF$6_4C_9aZqC
zjso+21MaYgvHz!s-4;E<n&|P5bC~7Fb*MZ}hha^K*-3}#)ZLHC#mGr0#!JTD$4q^y
zqC*JJQQun58vcm9u;#pKpdP!f>e1QBfRNb+OpP_*LPrHPZz;IV+TgucMMn!GlE~@L
zUyaD4w$u+XVOfR=nSN#*Uunj>hx~hqEHi8z$z9?a;;E5$#6N-DZCFkt9k?Es{;-$6
zX~wSwW^`=CE5U>}n@#vaU6>n5A2-ejYehxB9V-4+Q(?MI{h-eqlwv><YsS3l#2l%|
zj>UTX;9M~*ONX1cb(qaL?oi@>#@tNy*Wo+$_hcKc1#4{SX*&3j3)WAmPwf2;wxZUr
z*JEk49^Um0D7VRgKAbVU=l3kXp`fd~it;O26ImB~c43S|jhM}z$$Gd6{VsEkT4=&)
z?y*&!$+~>ZjAPH}AAXwAoHfg`&<wjAGY0)O!}A6I?&YKz8|RwgL4V<;n$Z8I3G2pF
z|4N#0?6wgb2D1)OpC@sB_cT)B_)bCE6a}pv6}Vk9VEiBhs#_aS=N|b;Z|%W3$QTPf
zHb)Z+HK_h!Vq<>#Y|x=0A4~J!SGY%XjWe4&oI`eLsz=mJ`n4N+)KjSk-3+*O+yHC#
zV{`i{unJ?J;-X^H407zPiaD%H8&(-{KiY`O-X?q?uT8g1_?u@!inkfV`!kmpni0=^
zWdBoUJicJY0QLgT2h1q7iglL0(YHD4k2PP9G@)pd3EuQEr+GfPJH2zM?&MA$W6Lu=
zTF#^W=_?PfQ&6S8f(P869=6_qAKZs<%BSbzJr8A^Z+2o0t)fRKqYl0)^d!VS@1qW>
zUvyaUo0yAq_^-4cZvN!MWajK~J&ym-<7!o&F`$1NeanDJHVP&WRj`aT@UAWU(NXM!
zZ}C1Hj2Jb-h{2bQ&{1DzQoEF3;$@r;q>|sv$7;;!THP4yVP=fr9z`!=tUZAJZIBs(
zUS_zNiIeqq?oktJj5Xnb2mk%uh_l;`I1^yRw@ejv52@JEK}CL!f{x7LIo%WtQw@l{
zZos3-20ZsR;5fA=>y{q=8}u-b;#t-})@Syz%PZ(nj`*6gcD?Z6x-i#I_T+1`^;mIO
zk4<m&$hRa<f()3ohL3Ly{F^7%`Y{SV6R$VtSTFmi_;Qjyp5EtSD<jg^8PSmW_QKHw
zwWA4jmYVSJq6rN?o8ZP+yEw4laW`X}C+FxM<aRkTt}>?X%=Z^>{-+NzVaps7E^@uf
zXiW%)5eI{fXwk%oTATy7J*;AE57vEZv^R5V)dU3{Dl2Hk7}wm#*&2Dhlkw@AsmBD)
z1qL3`W6^Rw%1+W_+z>rhb2bv(PmlJ)^>{o@kK5GZWY*fO*LqAW(&KY215S_TS)ro_
zDDei=s;0nxvVvIh`HRBu?5M(ir-~~vD!NoP!u>xZ#++uZ{W4--SrY;~b3bve3EG1u
z_}($0-g^_yaz?Nq#e{9VGWhdlK4;`>H4d4ul)b^Mt|qK<Hz6R2b?AZ-JtiAr=GlG^
z*7}9S`>vmgOh@((&lPH`f<N>g1$qOvvsMmcTnc;AXA<)@-v6yHdi1-a#|Q4mjM$?`
z<*j;D;?<8opXYPwxApk-S&znrT#L#Ej9}ijTW-Kva`|5l&yh4#uy&S$Md1o|bDmU|
zxzv%GHU623dsaqlYiC5`6-HRxA?|-hpgi>^h&}Q+6DqG_eD|B+an6L=^i5^yxl=Eg
zaP2VtB73ZqX(s&Y#$L;d{MQ*#?j`Z=G9rAC5&8<$=s4yM`J6SFHMlIjY?OlTdlhWv
z+_IlLfBwx`(<K8MEul{!=3sJrg$>t%{7#S7;}tzb2gZCB`1pc(N}Ov`^w?(7V->O5
zwq<Rb$}?Dps8w${$FWe*j$XrRk%C>UM?nP&CUB<IXAbMcb<TG<Gc8~ox{PEGvD?Ub
zzY!fXsoSMY7}nH;vAw9<#9c_fdN8+zT>rYzgz3b2WvB^nsZXvo_#An>l6kv{S}>1X
z{?L*8H!em5epPYgpo+ZV#9UQH>m&smIXj#`UBNke+;9!&rXLJAbdvRHkpbSEO_XY8
zz{ZLOys$OEq}QWY9&zXBF^Tc4tYN;FG@vfmrDQwi>o|Is%?9+mX~5b<a+$e%y))O7
zGnFcLIpfGxV5&<#Pf*dDy;4*5rxl!xm=<Wn5&DDbN9nC2jOhQ@h&pyA?pv5}p&4sx
zJ9?7tCbaEo!c21aWS|MUM%3bpCM0Q0uub5s>Y)*9_89SKf)OWtjks-T#IE-$BB{@s
z(d4wZiqF{!F7ZC{Rx^KlDJWNkxke7|j9`pdOUf)W;L9lHV<!WIz0?Te3L(#f8B1qR
z0|M$8klVt5;_iI!1Ou$NCpY69pJQyR6&tX{OTm@?3M@AKkFVh@m>PMdh6>+dDk?IE
zUz5{eh3pY)7~#;@h$W0o&6CvEr`)q<KHub?#0>}bcjWjXYH!!-CQRd_BmW)5=Ueji
zdVJqlzP}-VuZX{2js0d_ZzFc-RD9)3bQ9-<eq&WEZlL13fpf!`>|H|0XX@5H`ue|4
z3I?VcFzu-Un@<tL1_RGL7*Khn0bYIR4>@mq($Rp4d<^8j8}WG;z8<>XfQRIT0@gI{
zk?rJJ^>R&lMrX8w5!)4b(mxkx@v}WR_oqg0U#()$4Ha8{tGHCch*peA<ZvU;H<O3Q
z8L#`i?@vbfQG+JuP|KK~p$cQCH)2(u5#v&+ar9>&pRlh#%baC@@NK*iN6D4h<&Aj7
zT2x7>Q@eSF<v$f=o2m%5V%`6$U<Ent8O)l|TY+tD1$F7GPmzx=o*R&Qk>^0E+wP3r
z&V>fNoN2%Z?vY%cVZea-286F<{C860&hT$q9~ltI9^@Xi?`I_i-#EAOpQ_-%J_Soe
z!Fb~RSy9D=E-F?mAkI@NX1!A}xJX5ACFULPb>|o(zArao$N?i>Uoj&4F)^@SUH@W4
z>2F3nB}RN;9LamT+r&?A;kAXoGt&qco@MZ8$hBf^AD5(J_I>&)^626?&dyq>NG+ja
zNdj|<-tzA@a+@&@qqiSbm7a^aT!nFZ7s+|d9Ruvn8<0mG^50`X{tlkg+(ld=23$Qs
zY}^C%5Z0h?2I!a%HqO-H2Hbz;`n{R2;Or3v`K$%)h_`xq6;;}*z*H6c==JJ7<la&u
z<6uo~B@aJ$Fv5qJD=s#o*EYtLIW6>^;bBG$yv4umxXE0<#vDIq#2>E7a>ljC9Omi}
zBlfm7;(Qh2XP+?jJNvM36}qkTu<U_vvM#hKt)f<jf<)fS_hSkcEKyKtF#8ztx~PJJ
z_r$ED{|$?#&wNRKKQJIGoSx}AwTst9)|}yw4KUDGjEFN}V77rhr~-FS^0tivmyrt6
zsa0D~E7<;ux<$O@%5bgynZskLn;TT@z0CR22Ni}K>PkuKYd!8GQeWqg+lv^pWX5{?
zW@4p&*9tL0*=NKT)|^M1xHij-@SR~q`C&$cwdZ`Ut`TKij0omuz2j$2zCwN2#26Fr
zuK=!Z1r_@X6?FT=`?yM<wN=5qX$tQ5r2lI|ZdW81trbkkCx031HRP(}XY%;H0h4*P
z<Ii9DoE>|P`+Uz6zBifcl-XFpz8<VW^yfP^DQJ07LDRPiJgARH-KbB#%&8%)6-!mD
z<{2^9Cn~bz>Aegpx|T7betjbvwIz=J)U2^a{G4vY!uiy3#yp%?&jqYuT#I|`fu0OB
zVl6q*%Et&#*4%{}BQ_?hIQxRL=kqE?tmk<d@;R8CszU8B7!}O?LI3lB_ekCqE$1BI
zKlTz`sMW-rRYk#DYS>3JHLH-hn@K%p%#ZMTl)>6VoPI_F{-ZvfCe}CgnfvXCc^GT$
z0`6Ds=6wG;`|S@3jKq7cq>8mZDq8iWcFa-neiu1+O~ui-^q7BmPrTo0WjUj+L%;7w
zpV`@nS=8L9p+@{3$r?L~dCu5BBF^zW7=PycC}Op$%6w+thUU>TlgrVMi0y=mzpMHA
z)T<TkIcxBuR#>YTma4#)d~0=yJ@F0&*1XRl<f4JK)5DkfT|>d+@(NZva}H$7dTq(~
z(Mz;qJkyBtYAHU)oOf@aU{-*FF8vftrH9<VO2MYX%n9nl{x9SZ>u(MANHgjaUpEya
zInNr!_3w2`MFR8qE&aip48EpieJV|S)s4t+L=Eycq8sD=A9+5alMyW$PjdkGOPVup
z$^Qe)S(6jjhy1vlLLRg3PQRtXe296xf{)A{$BrrzYq3VrS2p9i_v8Hp-(}4>roicc
z>g6m2b|W}*Vn5NS730#7^JC&JX1rC#v6y}=jeLLYK}@w2lx(6PFp#ypmjeA5>OI%2
zG4msnx$E*sLEmo*rsuH+J9FJ@tN7GGMfWi(s*=+t*2vRWS&t)l?tvcgc$SKvX3kQb
z>8~pq@y3hXWo||_G{TLsoW;ii#{UY}<AyuegIFtZcJrBQHJ`C<^_+f{x$DEvO%0~!
z;P=$&#GbpJiZ!k(O4HYNjpzMPx3~#~4I$(nV>4tXHH&fHNS(dho_o0d3PM>^LmP45
zocO=<(Yl#}7(U;o1GTOXb72&9p1)^J4^xYu6GzS@Jmnh1a=r2u^mbBV;jQ9Ypo)@1
zIlCjLKW}FLz@DkW9r}<+-Y;``R3^Enuy?gJ!k;>pNsikPdob%(S3WK-#~#;}e#6d)
zU#f~8*_<=~qUJHS=k8Mr&T`#$kV}iW2BXPo;%(JX#RmH5Dkk<w<aC=4<Ra%xr_Qi%
z+QpgEO6m*a+?e@n8l><{CF4wvhZ1{3=BOVZBRcV-HhB+Z{T{90{B-{AQU%SnDcF0Q
zS{JThC3EHAPxcJd#`qHaPUcb5R_s^Ux9prk?OI8_Vl2`^nbYL;(08nzKj=yR@+zR$
zW_^jUWPFKzfjw&uF-~LsdQT4gE@t1swON?Jdh<m^3wpLaVJcQp2U~I-i{`QS9jRhw
zXVzirMp6ZSz7=Dg#hAt@IPsi07)H#z*9kkwSz_)vkDASV>`b0I4P%}X`}_e4yoj;d
z5c&vm;Kz9O(u}J^u!1!kIjh=Fd>0fPy3fyer=VUUy*YVwop_g2<M*-tXZ0YTsU_zY
zQkS<dw~mr)*QhIxS*zZv2qZU;(KqC#tEfgDszzV(hxn%Py2W*fWK18j$34!tZjVwC
z`jS5C9%IaP+q++d^*XNYY!!V+@IAyE%3kGS6>`d+b4#whB#?9O|2N;3lh;F!Qk#ic
zw}$au%*WXZ6#AtylgLYYlk2>ExDIa^(-~Y7`(=zRbN}uh?gyS^zk8kfCd}<G^c*SF
zdL7q+cq2SiBsWzN%X^qLoYzbhXI80*+s(ZIYF7y36G6<q-Vi@=7?{)Pj9*L&YxN%$
z>v*-}&-&l=5wXPdnZERuiXY_0QLb0P3F^}>&YsDe#xq!(hH>5aU45I8*Pi@rXYxs5
z-u<PQWQ>o$WWA(zm0{hSNX$K0Q&JeSPOF&PjNi?L3Zmyzn|N6-qOOs@*?jH%CguRK
z)<4Gc3;f+{{EW~1Eb}+MhoAk(K>Z@#@l_c!a%*IJo^u?i!fBF<4CdLNjm%}nWes!h
zD>0wr{eO>8(VzUbCRcw%tN0MZb>d~>&u#hK4Zb##wRZR;o<F*w;=wuQ{y}ntT<$@w
z%3{8x4WUjG?*(6eK69yJDHY*b)`J}8+;0WVKQYeKnA^9QZ=v)c<n{q-&uGT_Coy@f
zr)ICE=j8Q#9d(({1#c(+_bJHW`V^e!{uuMN4CqtI<=a1~{~7#jmEOjQ+$E>RG~^Y?
zey|VkcMLf=TSe3g-v2hv^A4#fB<Awh={xVTmOfF@iMXv_tFWP-b>tPnpEnWb5m8a%
z0dW!Q5b}8PG4{FSiGHn$XA5{uRN*yPg&XnSZ_e-b=31BK+SxGInO}|4$h+^v_m=m_
z`wb%I71UU7)|K8z6gci@zA}cBsAuJQ&1dWv6KBOkoEMxR--*>VjBE5jfemAOj$HOh
zpk`&WCQ}z*5%09h^v(78ovqjhcV}$Kx0uN)4lkrH;C+tSslwwhIe3Qmdzo4k&b%Y;
z9*p-O^86XE-Hhi;>hQGNDz<T5S`+Io^7vGUimlXwSzNnWbGUxv`1u35_uPp&-a^Hc
z+B|1K&069}?KdhY#ryik`<wk$f#n-={E33~w^@&_Qm3guwTb%}<9&#6^yJlq+<i-&
zNoQEk$l)Qxx|<rWea0MSY~8qa^O?K5SbN)QRE%csL{y@utjqaEOYR4A-SY>~_ffYz
zXR(J{s-pe|dV*al+!<#%$vFQ%^4`L^iY?f~CGH^!mJnQmhJ!nV;O_439Gr7-cXxM!
zyF1;%-2;T+fdIiFxV*3LgQ`=vZoPltQT5f%o;|a=e=Td)Ov0YE)chvqU34uck9pBw
zp4a>Isyp#GLk$-|YtwneW9oMa8_hlgh$X$dkJ_18mvbO`b7HSBcB>QbS&2D6JCg4N
zuFvVUL3ilUEBs#mH0LDpTnr7VsL>keet@oMw3md$>o|vz|Ho{<$>&L!k4Gx&3Sza1
z+~&PYyclmh;|4OmKXz)McN1}TrM~i){VqwU>0!+{-;(12eaPDoYH-|l=|`T|(9f$D
z6A$LG<J9=oHS{<7?ezrj+pv8XpPy#GZR|gs<7$!H;(h58diO?i#;eV?@?0yR_i#?u
zm}#j8df00E8FR{La(pos4bf=3Ob?^^CH<V~5P4z_Dz%GqFWN?Kr;d4b;C(K(&pU`d
z_Iq)PHS;CrY;x=Nh+cjPpSdsS#JUQ-zk<=6m3n24K0^<0qo(uHW1-}DR5yB>y1tIj
zOUQGJDa2(K+sWNIYWxP;mM$S4&|wkliTTW1oV#C>*D>R%i4pv+s6X>HwX(Q9b97VY
z2I4uT9P=D{U2>7v4Bur4J?u?QfB*GOx{{0j@#K$l=5>6oN1iXA<@)Ia+R$_HFg1*}
zpY&*ZULAOUmKxZ9?3)}VHa9PRlP6KEzsT*vIBNPWv10z;<-(ln$DE7azp{Lnae2SX
zu@dC1BJ*dR?=rs`zc1~;IT>He{!1UC`O#?pmUtr9H|SY8gE`i;qptuQp2;;3b>DR|
zH9%gY(VB*S7)6a_=!#b2*S-<)sKLBP9sNXa%D;$hCe9H-{7pE$HN%-YA;;tJ@$FM;
zkX}wgo)f6e3m52T>U19S(4yn~eKGpJKyBi1l$@4fjyp|WE1-2#4C@SX8%x|KeqbK|
z!5rpBz4>!Zgx;_a?(5`ceNYU4h<zG-no5ob&~GQH>lQs(U!plZwVh=obx*E~bB-xI
z361Fc#%rX-ft-epAuhvNPoQ;5KeTtJhKSp)7OX9ptEN}u{9T4RDav;AzRk>e7$0&6
zaQ=3uUdXX0bG0{heSrMrKy$a-)G|6&k?XDG?+|m*Mf5!dH{y^Lo#lv0UCy<Y(3+gu
zSWmp(F-A0FRbj3Q^`Hi^aSvMqv6&9rI|@^SrCIw`;T%Ga!>PZo<i)oOIY;v^{68?z
z{%(v|kiRaYn7_$+V`#w7P1x3z&t|gEZT79rF&-T2-<FzXtoC)8*BILcy)Vh{c4FKu
z3-;1bW63ywd1J$gdGkAYBrhlEy;W!~jsIJi!#+~q8PHVpI@_*sO$b@}*@<l@_^dPg
zJR&}sIVK&)9(~XC6!o&pk$UsQALa?SRQQmIS`Pg#3kotvhM}nfy-AM8G$7{9Irp@q
z2JpK-wf&0voKCJAp($)Ia}7DK4MX_(7~8V<XWiA8>jJd)qK*&Hx2;+--!&p`wK=9T
z^+QY}(OWtX`!aVFNk`mMQ0Iv`Ke%yDBOfcjux7^J$@o2-T;*jB+jyUKC7M!^!!+dl
z7qxzv*T!r+e~+~zH5`Q280xqxJ<*8VzWc#FcNcO>EW?vx6TR)xJ2xjin4kVF&b^kh
zoOh~n@01+J;iotL&PVf5=Gd*ASJL-l4o3HKau~sUb_KG+dUQ7J&H0JA^g!zqtK-(x
zFS%V%pEV3I+`#-$Ae>mDcPDzUXQP+Xa}4L<Na}5z7vnh7FF#phFt2`mM;>1>2R~;n
zdO}{&-J5*(Adf}i3KT?VE6%f3iOXxWhOt)5&Ahjh-0mlKd5NJ1^FvN*Xe@eN(K|B-
zwVaRng}yqBKRfZOHvWyRM_iiVKbl?9{HY^-ixx$<&AT(m<5j2zPQ3rp4L#I?pmim^
z5KnzX5VHrwZZo}`wgTEpG4G+*B`-CRowZp;em9ICeevfgezkR{SE#`_>iQ`;8c3cu
z(u<>Cd=p=ES4USR^5_Wvg7xYww&$T1{zYpGdLf2bJtViS>5r=P?lfvARdTN7v2zrA
zd$GHYc#oim^H9?(%Q06~K~pX2o!sm}vm=`Kpy4bvTA<T+c|*QGp{*kNAMtvc_dkfo
zXg=@Aep_2GM{u0wwgKa8V!REE+lKMuuu~De3vzJ&BHoSC5F2WGk3Vy$7uRF1-zBvJ
zJ%Q$`_`U}X2dL3j=-z^^b!e{*>%rc)VEYa}k6^!0_AkY8SIF%R7sg_|pMIPR8NXm^
z=27&1q^_Ff=KNa_eZ@IX(PI<IaU40hQ=1-aK;7f}1M+pc6?1u8>W_S%Mq4&=d7sxe
zyl=|(Y}9Zwv^q4UR~wRRa{InIy;6z4M=DE9OLBfgZ(sCQ%lVz}24hZ3NA9WVmh{+T
za(s}Symw~piO;+7y&?TP_9OQ~(6g2rUxl_(Fa(<N{suJ=PYq8;Yb58}KFsrroyZ-v
zlF^5AUI5oB=v|E7-so+N-qL?@PAot_Qqzq~vHm3&iz@T`c<Q<rJ{LgqfX38wGxCQX
zXLP%xtrwJnKD_sD$u$o#nM-UYqt%su@FutGt1{P7%dw?do0s66j9xqE-$8HgEc8Ws
z)^^mIQga)~@qKURdVFn)X6wP})TXV!PNSzFHC_PiC(-u`*70)!+b$B5+{7jTt=$~S
zB{kB<6P?6wUlQsy5TB`|*66*Gm32j~|Mxol9lrRJgHQN2*L<W7ub{aBnmbXOiRj0q
z=vhwwR-io@`o8d59a6BZAu&mg)&^+JL~V>Aw_}N0zVcj8hqLA?&OBC#x<YTgQ05J6
zKg+;8keWFTpZ+4p2k5ss)Ztk->I%(&J8%wT4tt88cI2-k+TWwkjn|cMf^A)i$yBsv
zM{5D<cn$IThq%qBmK~WJB7&$X^tMB92W)o3c1L`uf-fHUG>aVHr~V#Pr2fc{oul^Q
ze|B_aB-hK(v<U6V(dP|A__;gV9ukw=b?E{29l$ZUIo5h(E@L%k%ooLo4K}7@D-xTp
zv7I>+_l?qGD<$h7a@;I{SMu_S{G3K}BK%*8j=ki%ESjpI{UZ9VKpmUQ*>-}@wy}>F
z`<~~R*Bsl4F>EbUlraY~b{u+pp*Jx$x8+1@9@cgRSVI+MjwHt&OLP7qFO%rKW%ykO
z|CdsqL&$YJnjWCN1^U{+D}Hu_<$QLDeP*)nJC1p8$1;Xf8FVpM1)%p@LC)vs^`@rg
z(@VKBb8VfD{z}E#jvVhL#~G;WD0=TMewTKqcc{-o<oYU_?vw9UP#=!KLblm8!BVsy
zMr%oqNx`wD$?Yy`xkC!(ieUPKn2tm5$t>75z06tv=4V@Baz&0al8^cLc?y5m;<x3h
zG4+|QCik7t)U7r;ArTr^@OqtXi}>st`+Q>GIhFCZ0<}SICxkPH5yNuCvK4w;qPH4)
z^Jizg5a#0y)FJWjLmpz2Q}6gW2!D6ucUfvXrw5;*B^|o+qiZ|b7s6}U#QUpkZ$@0o
zqjkJD`z0p+0jv#@@tzn46U%GpU60=B=pCAa{Qt$+`8YRHZ!7T2`nV!~hT-okG*?4&
zefrs{8rQUFDnbqq!7Z2y_t<up&+4OfG+LWiq$kUfS7K(ddrAxk7oj!^kOTA%MejcJ
zenf9LeyqZu?D%yX|04183I5hVvx_g+-Dv2BmTc%Qi!K(PvJ~#aNZyZO`x8E2!hY-6
z-;w%QLCmZ_=F+<{j9Z=>I)|OM=ygKxGVJHZk9GLth+lc}FE=&#9?gBwya~;7(GZH3
zF6gd?t}E~vjzCr@!1iavr2_laWB)*ovw7+Uv3p1@E44F_@l#@FE%tI@cQ^JcXTlEt
z9AMsBPmWJhgK5#c6U|f6ybBFE$aR7jwF)!Q)(I9sX5M>vbMKJPFS6fS_CL*Wp&WmX
zah5RNBE~(;_+Qam0eg$Ga}EuqxAU-`qNc}_<H6*(Yzcftb1r(hG`{<yVM+z^ik^As
zN?n;gfb_78_h;C?g3q(FUq|+D$#H??b}r+@GM+1XUD5jjJA&Rx=xvmhxMpUqrlwPq
z<8tI;9yv*kuea&tTlgMKzSbn>egt~fp(`_dK%@2P6llQq?tFd~twY)WZ;o3?ZhuiL
zv*_L0^h)0J#EiHWKyO9#HV!4%x#<IHx;Q=d72l?klMncs0iToN`!Q-W7d2WPJ?YUE
z0XM;}GpfOKwvXfUf@odB{wFwYJGt#ht-PUTY7oaM#M9Q#XV7~Cy|L*1g5K1`z7aXt
zMJ@{C<1>7{fX^@Sy$ZGY0?pUZ;|inDRs%Y~Ij~;u$LG7zT7><-k=u{ND-*dLM*N(J
zV+49zqBlnt;*gE8a*~_Bm{0P47f*698{fX+V*z|EiO+uczM9(nh7KR}+=Rwxn*qZh
zlfANSHZf_>J|EfNuDRM1uUf<{F=N@i*bL~k-%UoLH!U_hV0%{x^98<)#3z4zi^Ru8
z_!@!cM`&)0|GwyOLU(aA9YEVKm<;!!KieAcSwHr<%D$b^T96vaN8Fkazcq{*kbzud
zBLuyQ&1TsCfDc3R@Jfzr;M;g|yofp+f#!l}-huxK==g%}gJ>#_wtt}qWP;gjJH}@_
z*{37>#-cSR$ChV|f{f+FnD+nc?A&(^TXnH{1>5!TAr@c8;8W>z<eK_RjpmAIUWw*>
z_-{G;iJmY}w2gvsa31QgEs)Ps5}W$$dx~SaaBOkLuz9~GV~%C)YuLzxt-09zMQydg
zhlA9#Q$Fgw0CNC2&P`rE;O_+deue+3(Gh^2b5IFwV_^)Ghf{3xg_P`L`%dAQpB!6;
zF<LQJbH)r~Y%lbl#MS`x=Af7E<HOR-^k7D`r)Qm(mKr55r^rtje%snh(QySmcCE7<
zZLOgN%m-h#9fk<@iDX}Yj+w%-1sKDTv0kU+9Eskf*a*W`AM|cO?>&0h1HGB3>1_E~
z*A`@*i=QL#*Zi)E{~gg$lUzHZX%HNQNSFfYVGy4!XP+7DTZcN1<Jj7T@r$vPF)uRq
zX>9C7?;P~@MQ=lTxC}L2g7{a#uip5#kGy2W-(C3K3;&x3F*aH*qNyPSf**u|=?piW
z>=VGgr8&mdFKHR$SX%0U7}{F09(wDdw<&r%ptlEld(gveh<|DF;8B1Y#?NB-yBNQt
z(EI=mwhp$wjDghX%L+gEc?ozyc|NzE{fqr$IktBpa>!V@(QE70N$6dH-Yw|0bMSHW
z-bC+b^ya{?zW8?=KU?9iS88I8|Iz4h2Gji<ZR=nm2n4ci1vKUJvh3Rctur|89miYj
z{D|Rk#+{7bHs}pUZ$|VwqxTMeY`~um_~na#3-Hqoe=SG<pt(01%An;jG(gupSPNsp
z=C&PdcY-YJm!AC-I5vWq6=a+Z7DL9Z$M`d`a|*p*(Hn~W_V}>@e-fd&6aK~H=R`DD
z#pgWuULqB?gIUL+sV!uH#E=92fwwT1&pWVROZFeaafdlRHL;t+cp;2?lJWatCl~gf
zV>bf(jq$@7f0mNtEciDU&9){=hu?Y8oE8m_z|PMvAQ#$9e|E5QY%jRZ=QbbPwO_#R
z+)ihltc+*(7J?Xm5O$)lmy<Y;!2VtQC`*p_;#U~Ch{4ZUXzu(w&(_a}(2@oAqpLr(
zfq!8iWMcbX=)->X(AtRO26Ox&#!1e2qZrqT@uy-Z6ZQ_Fw;uMNk>lRf^c#F?LN2!9
z<4b(?AxA#=9uKR~VfSTLfN8h$)-%`ymEaJcdqDyAEy;0NiPuNQ*~oa+(0iBhTch_b
z_UfVcJoYP5)93N0`R^R>CMTouwL3olgYV1G@B%H(AOT%FVIi!C2N1^gqtKQ83bB7i
zj?2mMH5q3jdZW=>l<`-iHzoFFpw|og!_fN@U#kDkaST2>q1O+e6XE-17={jS^z??E
za1oBd3@8eR`8+K&XWt<lH=N_Upx4&TKNxo-dTU_gx!FT+a%^uwZ%uspj@~`^HVPj*
z;A<Ov9)Ry#(BJ}t(31k9(6;}##<#qdW!rwJ%|4#&e;+P$>}|&Q&RBmjZZGsIHUiPx
z8=DugofW+U@I~?IE54=2$Nc#E*Kf_&@V`GgeuAB2R=^S13sWE*uJBoDn905;Iqp8k
zKVY2m<aRY<_GIkb*oZ^#d~8<1b|QQ@fG@-FsSdssL~|&97RBFI_`MSU9bp)H(!xEo
zDV%_pP=IYqAcTF+!4!_^%(2ZFqa9-nWz02<eH$Aou+;#Y^RRsbAN=qo%xVtb`r@PA
zZ)%Cp`S3j+#-hU&J?+8fqGJ#VOQ9)z;q!kXntjtl4UTQk7@Zia31iyWf!KJ4tzFn0
zhVAP3ke(d>z^BLf7K4wE@zoIu;`b>0e}RskkQA<?ZTD}YcumH(USRu-VBfqP^A&Dz
z{3*sd&6su$c!%Dk*eZt2HrO7I59`VCQT(}#UzhPu@N?mB%{FJR0K4DS4|am(JPP*1
zP_Ta8$vz=41g%FnHl8t@!H4nO8TSh|9%AbxHrHc&Dn9f_Z)f~zk6%6TZvuYq#$Q`2
zSRX1ns)Aih?S?rp6E;CC6ymc82xZ^%U_DWTF>*3i5Mw5>++rgmw(?=K9JX!FYKbpx
z(c2uq>^?v?{7isN_-(nm1(ngV9PYpma6scTUUxwU_{Bb^^)bg30;`i1jCF)DFEREF
zY*;N_!R9$^pTvig_+oz(eh1&|8X^<4z~9aI9RQQikOoep$?ElQ=m>*h6MTY3e0~+$
zvcCt%M#4nKX~URyEm!~>*|C)go9VEf5+D5W#Q~q5!ZG}tfuA+;_dCqO_vGjp4%Z+t
z+H4(B2r|KEw(WrW@Q{5Q!hVkPgvyLFkn!wV`ye(hW9tDn-(cIWSppzC{#3!QfADWB
zetyB<Iw1I88g8M**22{wCuD?t&=eL!0<>YjCoq`fGBd^<Sjl*O8Mh|m=fzGCHXX42
z3@+fuCj1$NU$yYhA3r0()?M~DE?v=Z1=6Fb5e$Hl&<Co6KOExox^RR2D}c>Y35-<;
z{$|`ojDHk6Pq60(S+QRYKmNg=wfOZ2|FXj{e0_}HO~Eu+jTVALa1U+Q;UT#4z7$M_
z_t2UBKfn}@FT^-6VH4x_WBl^iNr^p+^Kop?!;g0OlLNmj#|!YWB>rB72KaskvZ199
ztcSA@_50P{+jjfh_G<)D99IVHdeg4Kio-z0--#WIZz`yP?NRt~7=M1@S0z}2kH7G@
zJJ|0chCxP%Mo$Ech5;}Vmcum&=JUSr0PI};97ZutcE*c_nT%f>JISyY4NI}z3O~}~
zkM-CXe9M8KR@XJ~`79Jd!*sX_-ss8+g~9FzC52eFFNdn|nEn5TryO4ob~Bz2G-YgC
z&ppRpDD=SgF8uh3Kh<CrzPW&%Ghg6yAMl1<=;#3@Aq@mT5aa{9o?i-Ypf>v+g)$s}
z5jrrIJL7JHR=@S0#pZBq7r>9lFcqKj;G5lxXo#=TVC#?_;Qm{WT`w<z4X_%fKwHQP
zx7lw91i(Cw^@m}M^_X$Xz(Q=i#$G9yj_p|dC<b%!=_~%(nmPtwo5M?dw|S>9d_>Q2
zh=94U5VpZh@Z<AFunht^ZW4Gi&RodBxHczt#D<T>7n)()2|rdtS$v9tF8KHcI^*vR
zD2V@K;3Ry46le>9jF1?fvuzjjfK;%bW2%77%T?eIW7@iA%5S~ZvAGG`zR(L_qVdVr
zmx7O_;4D7323OdNj{Z;?azH9b4Yq!&1tZ}YBw^nka0{w4hRyqR8S@eRgN?-4S_fsY
z9Rt1b#RZ?HLvnna0nYernvX(abX0>uun_E;%CMhpn|<a7$Jw_Vc)$Y2NDs>xGY}?V
z<1@C}!bNP`8el!Xq=q^8l^mAfr~RJE*4F(XC%i_F!U~uH)4}c+9E7Kkfqgo`AxO=!
zW8oXvT=)fsGrl*r7C=^P?}l)EvFo+U_;nl#<ELG-I^ehU;Ub6vCp4vpJdh7UzzZJo
z*#_tUDc~T-)`vL8>IokhyBEB~Ry(+Z?RsztUu>;)8NZsq3;Y}dcAqU8|7Sxp$O}oq
z863eEvO*0Q3CF;XW2|paL0-mM33jb82W-tg4^m=#5v0Nwo2UKoZ3Mi4>iD|`5}+^|
zy2E_f11I4O*m`0OjDVVu1kSSmzmN*{FisV?#n`PO4qKh!CAMwOO2C)F;0cTIuMphA
z-%(H)KA|HL=EET93YJTo*T%sHuo||tR6|$;Hs7~koD-0baU&oYTQk8M+oRwsbi<z*
zD35>Zz!`rVfUOtqfoUlQ4Z!l)1=>J$2nDMJo9o6yNqEi}Qy>RKGOn%VVzJW`eqeh7
z1j0J}DG9gmZvbR~EBHJKYJk<K{a(WIeFjc|)%$(;1=;w#87zcHkdNah!ZWaQyqyQq
zV`nP-gs#}X1!eGO9eCki2e37f2Y%b{e#XIGxC>vv`qLNO!18|+w!#o71HU+SJ2VHo
zkFtt!OM%(x4lb||+j-$E{@5Jq0bB90IV1(sJRdqiSukBekQ7pa)qDl$28$sI0y(ZV
z>;S77yZ?I%a$?7>fxkdYY}>jcEB=gwM^FSG$H67=!~Y7<7v{qbu<MIczhCXWZMV;D
zKimH@$4!9Z@RaeULSC@-a}V$VyKb<1|4;E}66A*m_&FPF9T)(2(6ALILvOI(2etV9
zYVWNEHiPwm5Bu9ZKMA5Bgz*N#HOP&fDPVn61>0-E&Pz>UEBt~=_&Nzr!FR}lj>=&7
zaeG65FpV9d7TCGl9c<mQ1T42H;4EX=z1Ylf9y`4u5bPdHYw&=b_|zJb!3BJs40XV+
z89$-rIvj+JVD~K6!7exhPr-iATN3(!tua183C6PT#JU4{urU_yLP2a#hKG<JpGKNr
z5P+|>U_9)HM_@gj8bTpI<OPdE68OaDS70^tf<o|-aV&oAArS0(un*X^imiA4fy@wv
zPZOXt*u8+G_-mT2whMxttA3*E^>2O8c})OYLuG{W&=YJ<z70W)VfSHI!D}dijmco=
z1^d0-5U|(>;gijyYryVDWWeY8FbX!n8F&Ep`!>^;0P%1Oj)3L0FW8)CbNzM3m<=_-
z9S&i`<}15DdL7&2z<l|DPn)4D`~{!z+3wrU2g_M~C<S(&v2{}@SR5)qOBe=g;5xW-
zyxoHx0s=0KUlnG<J;;V_tFZ&%fKO$?a%_LcYv;{O_+1?=XSU{yfE{2t-v?X4))dz7
zoxs*<L12Bm9sYsB@R9MiK^MpbF~5DN$*T{X!#BGRP#-eDdwf6hTZhfJ{h%YX0-KXM
zgWWTj3LD`P*!m(X$69V@ft}xNZB^^HExTq&i*38tu^R0B7=mwh4PocwGw=!0;D0G-
z0zF^|j0Vg5Ah7?x)(A>KFj$;Ug5|aaSnob%>~+x5Y(OlwSAg|!Mu@{V%W;3G1h($7
zJl}vrunrc1&1Z)FydI8#tx3N@dXA|IgJ3Jzn078|26jF$y+PP+2y?*ZPrGkv>#aVp
z60Dcsfj>I3|JGEQSL<!Vem0%<neAiy+A($x>IYUYiNSs!x)@r4<u?x7Hb-}d0`L>x
z&Vc=$ht+jiF#nw(9xZl$J`Z*cVA#*L%|5ezY+pO33)q_KIDCds#%>2o;3foMyDHea
z!)p2sWWc{#FbGWZad-${z|PM$@238Zt&M%)JD=Hg)@fJ^))S2(6n-$~8JG>tAq%|5
zw*9@|2&e|O28zeO!!R3qKn<`pQY!F*Uud(M{R}_Ade!c?=7Ne~=UbbTw}Z{gUW{2B
zET${L^!j4kt{eV=^>7<J@v#8d?@fopaySTA;1RqAn|rO+--F$IjD{1i3G95^4Jtqy
zc*mGWVFuXwJ{0WSe;jNb&<gCF;SACExdWy_PiO!(|Kx^DkOr*QEuYz;FjRpyFcg--
zF?a#CZY~48z<TE@IAgm2*gAd|M8Zo*j-SQAG!F#p#r1FitT*jG&_%HGtF0Gzfz`rf
z=mm8kH(2cKT(<`%KvOWiwzj(n%fRl3SAaC|2|urb<;e1Ey=Zwe-KNWG*3Mh@YVU1(
zM;Huq!OrE^;R~c=yh_jqmV?>*0XeX5J#00-1#W_Uk41WXwO%&O){7Hh0oe7j<#7va
zgb0`q<G`*ht&U5A<@OunT!&3C63mYM9_bf$E#7Nj5Yz!%_qoAid_4ghz~<TEVAsl~
zyA`wmTc31-zAzfB@3(>dzQ%HE*VndQZ3uSH+pd4jp2gX&3v0tbSOK;!cn&sqWrfnv
z5W2ts7zL(%((hO6)qkNAGyscH7O>pfIHzDG42Jq(=X_g3+c{|`*jk_iSnb(->Hx9$
zZ1b1pYdOq-v0&P*Ztd0HPlu&oS}jKR;2Wf5jAGCnMuO?R1fL)cw#$K?8>hhzxCYjD
zzQ27h&TDmO3btOd{_GBagXwGuR>KyXT#y26p1KbT%fR$Dg8Yyeo@3j3*lKz(Gy(I`
z>e>n7@!Qs3HrMWfjSvAVU?r>tJMSEXb6{E%z;c@ntVb-4wyxO#7vLQv$9560-ZGyS
zgU!`;4tWdi_?`+vp(xlnrZQB6s$la{803RY5CEq2F`NbKk?GJ2td8=4>3xaqb6~zq
zgl=H#4?91l0#|sC|Bt|Qn<mp9`5XJ$w%KR4&j+x6NDVed4d?>nVJ)13r{IBYTW3`Q
zTMvu@tLuYcd42}p!5ba6=FAA$!SoyUvu(4_Y#-Aa4^eOgY%Mbpx`XMp{3e5s*tT=T
zepm$7XLhc%^`H4`^NkPuK*t++0+z$uzq!k+)%{Db`N^~fg3SY^p)uH8H5DwTruPZh
z9GwBepb6Ny$?~xd1WfZ2NC3y*nv(EpHESe;#NY}xKiT{q1E*mpSiRU>*coa-KCqgy
zbJ879SPhfF=IW+kwP=5HnGuqLJN!bEtsyLrmUpY&ui(gM78mQ;>`)x6PTIo|m<!v$
zYRU3zdecEMs0V+8<#-Wn1v__Mg$H0-K7!>t5&9h97eCuQ66<$clSYHp@qVz}TI>cu
zYp@#14W{=ywjYAUeG8ahmgCM)AIgH|IV)I=nr`b&FYp9!@CVCj2FL}bwJO*=W#`>-
zuoU)yosUef1GZCw#og9gZNdDT3O27=j*h`)u)JAcTD`soTaVeRy^n?4a0x6%cAOnQ
z4F*Cxs160e=13QKf&FW65F)^8ZvfalQxD2PA;<}q>r`O+Y%P%jET>lYHa}TCgoEX_
z6<Do|g+;I(PQwGRy7I?%HYf!Rpc@Q_Sr7r{yUnxbz|N<p`#xCC?bY5#!3D6`*!sfy
zVLpt7KF|^>Lw-mNuJ9V$*29so5$3^YFkjn1U9j4=yqO-$q1CMA+%#GoY;9H;N<($9
zdERPdAWVkkunW$>eXx1M8{5{yg`pa>0`qY+%!XC44Gx0oIRmE6a%tGl)~}JU4>rSc
zm;oc8C)nEA^jdz?gW3FqZL8_?un(+{XTeA?%{G5Ef*N4DEq^7z&Rd54Y&t7JZD<M|
zp&wY>=D=Dw02jb)nO;w9TaD#~a$xJAPS795foV4XH-Md=tv3&Y{KkH^ZB_>x!RmM(
zOoTzu6`DXLFufTeF?_?e_0)BUgsouxW_4}7Y?{q~>&N<FwOSQSUqz@4)xfk`Tv|gn
zu$~wPb72ka1<P*?SWP)%I~mwot0+`~reJ<rFI!Dot`>pidOcVUE$7>RzuJ4N;T2$Y
zJOwPbeW5*ApHu+Tn;DXT1DJiAr_X`q!Ok7lb5meASgyK4TQJ>?p&>N*{n~`r7GSkt
zTK|C&V8`1yHr{?Py|>{7`~Y8U+x35LC<QgZYOo8~Im&#ue9Z*Yvji;Xrq5oN!a}fG
zFs;@LHc$0{Hc$`BLm|il$-xCaVEYkVg`=<&tgh$7WH8_RgUz?5+wyJNOuxN$fG*Gz
z{soKCM6g<30bAe@oP}t324BDf+ks%dSPsfUEilbi+r7bRa}-Q~sbD!b{l;{d3|9Zc
z!Fr)Pv<2%AtC^Bu@yq~8z!?&-{RD2nX*dYx<4TwZmZvc=6ijztusS#WMjtSpgTeaV
zwAvi71lEDgRgrKJtd8R0E4X9ZVx9@Ck8S;7KGug;&>4Dx=@<f*Z_DAB-&h<>r^Tcn
zm{zM}>kEsU<<@#76w*Nem|mMdo`Thy%_-*F9@q$$AItL$m;_^C6pR4NqrKXD>s70T
znXmxtxD8-h1<t`ucnt607ub9m1lC)5pg35+nXiqZHCUei2GebQX?1RxKAX>bg7v)V
zYyl0RI+TSXkPB?CN&#MAcHcuBnBGfp91ei3iPpk0FwK^;X<)i6hla(#@;@DB!$L5v
zme=iI<JfpMu8nVY%%0gb`{sw$n&qG{lm^Rj9Wc$7XVYT2?go}a>rcbt&;>ex#m4e#
zJzEV-ujSTi+2WZJ5`*Q}dg&Ed4_gk-gY~h^F{askHw`xTSbdvr%eQGX>}T6H7fi3k
zXANwI-Eah~Pp-mUcm^N9G<#w{8CbpLfC6AWXL+sxR@<h-bhm?!VA@TmVfnXsnBHb!
z`K<{R!TO^h<OGYU#nx)d0j#F2ukJ$>SpAu1%g+wj2sVc;hs9vJEa!&Ruf<|1tOTnG
z(`vPB^VA8j-nCdhgco4;%&r%h-n5VntdEO98K?~AyXCAAm>#RymcOx|ZJX7B#l`xd
z3RrGSfW^+VT0L9eSbkmL8@Atq)tbfsI+)&LVE$T;wu1Ge<!u#MzD>Jf8Y95!U=vs!
z?*+@NX}tgz!+T)!gxRwB$_d*RZ_}FwY@YrL3W4R={5H*&XRB}1Wb>|RH|%HIRu?QT
zRl({a9ITe}f$7Zz!C>>12PA?|*teRt`NZZ>(`<EZ{@Q$FwQc#@29`U^_j)jmhW%{Y
zY+ko|u=&pB`A9eo*1wittDpa^*>Y^>3iHWwkpnEx*3YKfa&0;+cQzN9Hp``9Kif9b
zS_#TQDKNeH!RCb!uy`g1UvPz=_+d3>nxBB>!u-1oXTfwUSiViW<<IhNF)-|B+h+BD
z7)<9$usXQ{HkOTPW4{FJ-|t}ahv~K0Tg_P?Tb|8N(`>o6`nF!Qxy*8Inhg8dVqy8T
zxY&NSzvVR-WCiQnRA5@Ip6wiHePs1zKA2vMzx7!R+yL|U0@(V<G+3RR9@B5R|AW1^
zp11k<6qr`a>ovFq)+@2_9NvJ{l*QS4$~60f%_*tD@@)Q^?mS?<X!$lx)|;l^^7sdP
zZ<_6#Rs;%y#mjWtykIqLISvGit@V-FHT$389lQX`ht=S1upa!Q-EwZ4Ebpe@bpFBK
zn`VoR#mM@?>cn~^8Z6KM)ope41DvpL{bhNup0@h7d}oI2V7{9M({6b*T~@aigFo1N
zi;L;CJm&`MVT+x`&@@{eS^xNe8(6+=4od*bgU#Ef`vF*QTdvG^({A&w=`sDL?GN_e
z@@sWrS}n&`(^fMUKbt2k&#%Gkm_4&=y=A%f1Jj%m(t`PFb#A&X=Qgid-c7&h`h&eU
zjTW06U^*?g7B{PF%WqP!n0kWcI1!kAi~C!!etQPy;~&kIC#!YSZRb_fZo2+p?@goC
zgz2>UuzI#WvDleb>z(&t^<?>V#ID8LYR&YTU*@0rY5tnurrGM#w3u$w^#^-zxwM#=
zPOA&+UyGO3iuH=+_5adpy=A^w{4Kw6@CYn7mSgkZ@@$$-(;w`;>9crPE={Aw$m-YT
z1?v&38JjEqtJCso@%9DlFPmR1x7N$1)$(ipn_kmmn*U($ZM)6G78BEG$JntphK*%o
z+Sq2pY*{T?jK6@@*MIYB`S_#N{5Kt@$Ml-EKiGTQZn3bKSfBpUYVrD$(|7!AweuBh
zzOcOh(Q7?rxwSl)pVn)ZU+X*5U|LL*X*YfU8{2N5TYS=k<@S$m%dgdp&5LHo<_Z`1
zuXgjx@@zS=x;CH9cdKoSf$1?_76;R4vG^~x%|5eztTwEkE!P%9>k-Sh)zJSH1M|fl
zte-76=BN2<aj-hK+*vG4kHy2Z{TJJ2pV>ZE&lWq=Z1aM})8cBnE$7xp&S2Ut2iDJ4
zf0ldGZ}~SrEe2Na=DWqgbXY7*(|@sT_L=Qtb!~Aot=7X9OB>T-YxVUVeu3rvk7o19
z`r34xpH`oLw3`OgZ+iZVZL`lTK7TY?%&dR^zjT@p*3bW!R`c2Pn*aaBw%KPEk3X6$
zht{{I%VKBsY}zcIiSWVnS&Xf=Ew6txns27l{4}lRv+4aWw#`1XeQaNgjU8{}*myRs
zjc<0$p4m0~=7;%X+RQhLyZLGPv^@N8Y`cAK``P|>oE>lRv9T;xHm=o&*|0gn>{<TI
zw$+dM;RNQB<<tDL`Z8aw$INf5Y18okcM|ch-K0__2PIlxGI_NpB|k6o3F|pDBy3^s
zu&^Zu8-^W-?;RGsWn5U3EAztYFIgWpvd-bKWcjXz?HK+dY``(6QsvJDlv*${W2v1%
z1xqDp<x-wITa|jAV_>NZJ13T^-*9261uHj}%CP@Psl$h_mD+nbzEsw+j^T64_=TTL
zmo~glioe2Z2b2nb__S7d@kVXK-5mZ2PqATCc!`>m!+(CA6+R-(!tm9>OT(S2EeoHY
za!L5Sr1Qde`%ekqS7})If@96YpPnupp0%KV_~oY8OZ9#=rBtg?nM!S{Ju)oak?e;j
z1dcvZz2TK3n^QQ-^bLMe=wb>Pd?!dgtPPZ`laooBQU21fn2$6J@sLDQT;$#&N7>Oa
zkra9V<H)5Y-;b;~^ZiIzr=Le!?@lCRV;yD0eivC@z=P+}`^cD-0ert|3K<ZQT8jLW
zNlv-ul+Mlb%Zu?PWZIkxl4xdaDLA#cv|rRkZlCKfPv?)41@9)w=C8A*>cOQ_FMPeY
z&fF!V_NkOTa6xJ=ijgMG;$`($o_DazMZ>E5YT{xkG*_o|+Tlnxy_G7TdNnMrVI|9H
z>6z8^m47|m(XENLuh&v1{L@A=jccnnDzwo96I*C}*+x2QOii6PuAKf{U09np$*zg=
z1?w^O(pOo($oWb!l5C|)*B$Gm!ogW`>huT+9^66x*6I>)uBcr8mR<hcmPW=lN+xT1
z`pSa|9(?DCs|;@IEDx4DiBpu5^t$iNv+7*MC8LMz2=^8z2S3@|BB}Il5hN3x(@NQT
znPpd_oH8*uzdVU3E@3X^rB;QS;ythl&k5=vdq4M)nC-(Q`RMVo<ok39%(ze-93!OV
ziY?OK`+&SIe^MUTzb5@lK9s!Q-^df5>DH~AyDom|ryF($Y1*9`^yZlyn(=0SP1ssO
z2c<8sg<e+Ea~JFC>miMG@TTVK<kw2)v~H!Fy0_2<DVpfXdUf?jg(_M%w3Irv%cp;L
z$gB?!B-c7G+_cQQcXD^}4f!<mu#|RMD<Ms0$%Tm{WyJH&()Ms28R{0!|M$x)TUUoj
z&qt~GzUvf{|4D!>e4khz)%BIt*L~z$HD77FEU~=W<1bUkB$bm+f!s4s#dkZWlQ{!J
zB-4hRa&tyLsZp$$?AcsKR)4O_|A%QHQDs|8gSLN5#H@kR`28sH-aSd01<&Sh6qZPj
zw`(M@_jc*O_mFfvd0MuwjFN`cV`bH`cQXE0B6ax8v+TqDb?ez6{W&6oeyx&2+dJpi
zJR^#0u9;=E+>a{Sd1!4Nezk%2+}1?9UTvlwzBSV}Uz+HvZ4LBg##%b3Yek)Ls)P=n
zo=4Xf%A_X>C)e9a-F3j24-!>7n!gW>l#RVM%JG)-W$O2FvbSMBsXC;E?0QjE;(|-c
zw^4be<oay<Kk<z6wtpHq+$UJ{Y>;HA8YD3ng5*iTVELzeY8llzo%BzeNpeicO6`P7
zli~T~Q_`ZcsY|#dpHhkEQ`HuimQ5ulO9zRJ?<JG=50w{}$H<E&Q)KkWIr6IJQb~Jm
zt&I4-UFJPKB*SK(mbR`@5?SmK|4;3$RDSeJsxNcXz=er*>Q#EDU^<<(E~}pL$)h`q
z710aM;o2l$MJ+Y4y6!kz=YRBn{@zFj^lGd%VjF7Xg7x%bn;PmmvVuN7Q9=t0&Z}!Y
zLiFpMKyA{)OXFH|uh#96yy|>bc7NR^lCVND_naYNEl0_-Vm)POd^7o2zq&keEX}jE
z3QK5>JaQ!@rxe|mRsP)+B8%fPOa4M35-~W7EMApORxQdYcbnuE=R5gjVw$4zHGL^*
z7hhf+hgX;A=k;Ym-j?Firn5{M*H=>B943kSjFmD=r%1zAb7Y4ukr^k~$e#Y&B<bA)
z()`N_nQ-BX<ZOOVc1FCAaZA3+pe4>azL2-B_DQPK6Q|PaA(=Eop`3awb$*`BTTEYQ
zX&o9=N&g;PT_<m?t!4Yw(^+%s>+Og2^lQ;NT4F|Zt@OTv79J6%MFthnM)|Yr9G^7$
zzL&plzu>INo!?5xp<7bE>@j)ve5<sKUMj<arc0$+qa<a;KK%V_8@bc9p0u7@StgV(
zEr(JUmwo37iJM;m8L~B><Qb7qg4^Vm-9-w@>i30Z^r+%;Bes-e_b)H4J*rB^OSPp%
z=f?8sZfogYu&Zny&`(<39wzm_jgjdqC(G*SSyF7xB8f^I!E+ThOV;yy_*<Sx`BCJ&
z4ETIgqT4-|0)yYlmXti_G0aV0tn}3m)b{r0sWsWk%v!l@sAk-dUwdsXrp?lp)<S10
zsK>um_3oP*`uJxpt=y}&&dpp)LmjJYW#>xzq(o^wexrz1@XM`-3T4)1>w~o686RDi
zz;j@oUP_BjH)O?_qdW&>n*?87E{U?tl15|4NvjourPtPOQu<~~zSFn9bo^XhV#-vK
zHg(HM!pqW9_g=W<awsi7^Oup^ZOTc#!4;)Lzp661Vl8oeTVDcuG?SgD+Dgo?t~}ef
zpOj59OrFjhEwyJ)6yMY{<VNoK(miUKbWXBPUcJ~RT{;|)5@U`_Sd~jscK2-=bSzHx
zb?3RcQ9SE%kDJcE;H%kvlWYGrskQW;Oq%~?4&D4Hub%2%MECU!(?gre>a2u{x+Qs4
z^?guHw`H%cJ+4;OtEVbyH;;0fYfVYbc&eZljR;l8u^Dx-1nQ`DKALE*qxRbPTFTbA
zEd%~NB{Mtikt*fZ%7r8grS7SzlB&WONf|XrJ}2!VXA;^;)-26sTl0qUym4K5_o$Y1
zJzG=a;%oAE+qI=pr@FFxX#@Fuq>0o$+ENy+ZZ9i3b(8JBeI@IH!Qwi8q&zr0PGWjZ
zktyqD$*~R#rQY@x@_O=mx&3oH-^qGV0yZC)%x^AA(F@U%v)mIoQk~~u-{)C!A6+zj
zi?<G$oJ5lkOR1N8rq?eOvugIZTv{(%0Zsk1s4n;%rVB&M>d;0NbaBl}n)^j1UFcIu
z4=*oI9hKG$=}PE_d<FHDPcAJQpGmhQ30A()N1qLJ)yNf}rE8YQvg6qm8JQ=N>!BTT
z{aJ*R?z%u~E}tg3x{c$xJHzGmpnqj#LU&m>tdr!p-&S1iwvrN6TgnILmU7}*OYwTt
znrG;?lb@G5$%d_eOTGSmq)xVhA}xnYyA`A5agzy>f7(=uEInIl{IgJw<XIul`mW=7
z7~3Rd-98z(I8r)hJ}2!;Me*IE_hnIr7g9LpljLx9)P$PuTJWf^4zHd}AKVYtF>N#G
z#3Nbt<<(qzaA<yAy10lQa4D%triN=v|FYVqLphz&vz*=yq&8}W>(JCCwA<uD+Ea7u
znYgUlqG&qx_?BFgbobHm(N3zLK1dq>N3y!!6<O_Yl<!5}CGULJN!Xwz64!S&+9u23
z)nn!2vJq0V-C#L8=pU(CySJ>}-9vT`?=B%Tx=Xh6Jw#LYmUMmk$;V>@q^<KX*_3*u
z%-A$Wy6l`Fee+F~WjSZDW|%KS<}Q^dzN@9L*CvUax>I5nALKg+j!TIq7bKI%O(|94
zp{#iOLaL<xEGKU{==RHQ+BDur?*t~*G?h~7{0`|fZ_^Mh>XlR1)XSsuf(mMAzM`sw
zOX%e5VY)GhIOGb~;lIN4_=pm^VP6s5v^~F$9G^>zwa=ot2d34p4k>h3Az$@u<e~}1
zzsROuPo>_<n=;t*j1;_hP>#E7lYh3a7WeauB}>^kJVSCC=dlSAbAODqxj0fjEga6X
zO@>M4Pea7*<`9|ve5m;P441kaMo6JEqhwjTvGQ}k1abG6A|n#d5a+3L<n*|OGVtdz
zae22|nzq{{l^gGryjKp$x${TmX4P|YqS|$-bN;RbpLi;Px!?2b7@ko!(^<1u^3<70
z{nRgx{BI7{91YUzhm#>%@ktJyGb^{&*^ysgrZ21kQdBE-FRo{kme2_ci)-$WMKvy6
zVO^IYzuxuvOM??-)2Hb&=<1~@b=TGaEj+<f&$o2c5~n{%jv<fbScV&NJnpn?dT~fv
zhVPK2PuIz#=;czzW1$4Mq;5}7la#q8OY?sx$kdtRq-3|T(mG*`v`;fug6@o!(OJjK
z?k^K$XqCxQBIPuh-)1KN$8N5CYPC=<CtoHr%SG_)mi2Nd={E7$vqxq|9hO|ZPsovp
z7vy>B8?rO=eMz_YnH(DUUUKgKA(zuQ^K4uX&Gyb$b9YRt*)Ip_iJ-LVkTa9kew|g_
zD}`!IsyuqWT7C^XQc#=JFRZJ+71s5O3hUm`LRy3KMakeinq_iMt(`K9?ubpN1(T)J
z?zaN;bxSWDLG9PG=b6ucE~As(k#^%QiEEPMa{APMzJq_8j6c0jCb+MZPAwM8po8<|
zr1xwoQ(}f(EH+KfewreET2B%0?o;G;z*I?DZkn9`IbEg~oh6+=%;EnuEs!iX7faq>
z%ca<o)slDD2ELnYo3yF2M`oWnBzg6i#D<=eI=<KBO7j@;O8Hn86@DdKw|<f{`xEJ^
z11{=z*;8F#C)UAk$@GIqN?rUY4eP^<TH{0(UAHucK6sl;%dgC%sTStbyOH@d!mWVL
zYQlPQPhK6FGPhnt_l5LXwaV)Znkso}9mo1P%-v4|Lp=0+2}g~8_EE0gd?p=-+>t=%
zD{_3yN!gI%usk`mOX~f*S!RT-mFsRRdA{5dDc*9SEW0#MdO6RPe_qa(S3_pY{!O!`
zV~;tK@yJ}6J9ECAe!5Ve?O!5U-B!rRvk@}ab-i@kvzcet?2y6#?31jckBGa=2`QX#
zPF~i&CV!=jk%{GE<-qwDQe$0$R6EDB7Lz#ZgKO@ZbBT{Sv<c8zNmFRj6~P+$Ijx2`
zXVT7_v*^A1*>%ULP`x_xFa2;jw;n8)M?XEwt@}3rrA=pqYMuqz_4JhxJy|1zhUQ4E
zIYy<>@q_&}s+gA!e&nn_LVw7^=Wpah-pBlZ@o2f_bV*i4o)Fjmhxr}U9{CuxRm%0<
zAm_fVmcq?fO6{r3<m&Jx;*f2zr0Ty&7Ij!8RpS>)-S3MfWY$vYuxYuRFSANM)>$JZ
zZ?BixH#SR+3OnRu*1eK);2}v>{HT2CbXpQSUXpu>Zt#4cyK*kg6UmbM70<i;C<{V<
zNw3dNy0)vk4twmax9a2T_GEhhS&$xO{qtl+dR_4|lOBAQMLla~*TQLX>Xy=>I&E{P
z?y4WEEAr>mS{1VEp_y4Ub>>XE!#kZ8Y89+EOC;Af;-^DBy>xz27d>;2=af!*FO4@o
zm2>Uy%I)ZDd{^o@sS<Wf?w2{l|DV|-o*%bK^?92lmFIfCgKUkI$P*zmFRhfpNmt6`
z_ba4vyOlD%^(uK88zI@_*2vSg>t#~oO%i;3tN5?jDTQC}mBH%|$>Gb9vZ(bbDc|@4
z&%n4Qxw_w$i6b6LkEhQV|E;Xz*{=6^mieAf&e}Djhc2z=qkTI2>$I-PG<&%q%^jOc
zM;A`Vv!OHU?tPi{Lu3}6Q7oIjO`2V^m&vYA4rSBe;aPRX<Pe?rETeW?mQEugQ)#Jo
zfqHFO674k2SM$~M(6Zl&E6>^L?(|-A`#+Np>+gx*izvPy`hpDDcv6amsia+TKsH_3
zEq%{!7w6GiWcSC7(k{gYd3tA^{1d*8?>AZ}F-O)(<hk|oxba45)NZppj@v5ncXvpc
z3VS3d%>g;p@(9l<JSHF0oR*QZF374**Cc*^v?Qc`Ab%yq$pZh^GOf!;8Ot*m<F7hu
zx!tb1V7{kz?d_`{3I%9rbTWNgB}j7)Nu?QDrPZsk>9yaNjOsNlvpOsc(PzF{G~1&P
zT@etXVT&?py^$I8^2M~8YDy}V3xRqnBB?&i=BKTDduf)1t~z<2gT6WQMf^Lwk)&PX
zq~wRYQZwj=?0<ey()B(q$@d<WZ~G6+-TwQf!JFMuBXFl|c)m@pwb&|IdTiml@V4-M
zi(6#=_bqZN|2A3mbUV)p+a>Ya_Q>fY`^Bl~VHuV>QgU=S!J6@`#HGC?gT`K$_;R;p
zU%dy?Vr!fvtNu!sWKQ^>zXxuy-a)%obWx3S*Q-Ok^}C~=j_H_0Pp(L=6;}nRdy7<h
z=2#jXb~2qFYm`CTcF(8@KQd|;Sl2P5elC$gTMtdA_wuIE>aBydU~r&T|2wH(|JzR^
z^LT6QIXC@M&q+5N{UJ@<62x=<3t2upRwgICBZsp@$(!33d7j4^>0aizwC3?S{w)s4
z;?Dc!X5d~q)n>P(D7Q;m?%v6>mv&0$+`ITbyWJACYLA?qwojJ6JRsxu9F}j-RmP1v
zE|J4dOJK}-*)rpb6kB#fuK$XW3mYEF$i+`3*ZEg`r%Hm%<#`aN3p!}y*<5>laMQGv
zy>!iFU;VnnUl(jks_h1((DM!{HDj?<`Z_2L^Hy5jFh8B{3`wtT@}}2Zd(-Kl-D&kz
zt~5F>B$aNA2-2r}lI#2~NwoRp#M<|pmwx;1rhh$i(w;nb+H=k)nRfKGl&thr_LX=b
zAGb$K^WE1ZORbA?dE6P<-Qt9-xgIHlo*t29vku9G>jxzD>izN~(SA93f1i{nwO?AN
zJRqYxALQ@#56jplBHcekN`?2wr9<7*k}BzW{@?Ru8M^ekv}+wL?!E3w|5LFN+x)q7
z41L4>-;a{A8uxX}IB1Fv&RTt(n^sxssZUq<XqoYT8dV{QF29;go2C!c{h3qhf$PEQ
znkBW?_DiD|#;4JVlhf$E6lruf+s+;i)>99Hw8Xp=+Ve$HO&ag7XIA*?l8j#3VThZC
z9COmHE{Sy6%Fp7^{jEG0{amX5cq9#;+>s2`Z%XEpS7pM%3$pCo8J>}LQjV`YCSyB9
zN{Kxp(Nm7d>t~1M;nBkq7<fed9v+dNsa2Akh?LJaj!BssCnamvGZNkWymWtkNlsqB
zCV%_fl0nn&NS~$;B}2zJ?hm|>Zkf0Tb@Y?`J)CE~t##1utkahCchg37Jk=x6M~5Cx
ztN|qg^yv7c+I>NC^<!RgydR{E9D_Cgv0zP|HkCH<O{Hb02J67(DK&M4AicnOYHO=x
zS|Bb!uch<THNigm=COy)pW>?PGdbz3Zog!1#AjLN`A%GR#LLZXkL5)2`;z8Wv^a)G
z$(CeSB&PcXNnPu#RNZ$<o~}M2JyRT)9d5_OxzADQ-|(n-Z96Jk`X7__TyK@Da#DI!
zWiHr!R$6tvAZ<rp7SGq$<jeY-GH`p0v`X|qo=kZx(;GaOlyzQ9mHr>(InOFymiCt<
zly%gxUz~N?YBwEO)>EsT_12bo6YGN>{(59^5{<8sOsCyVuJy?GYQG@;Mg10y3DPTD
zf;4m5AYGn4Q14w!t{XEX(|0M8=%f>V>X6%4L)&<16z9Q`ja_tGVMi^L{U^_0_#^?Z
z-%6IuFJ#*KC(?ZK1Cg6Cl6Ce?nQ-cwtm=1JYA?Sak1C#%PF>H4i|1(xNqb6U?Mdmk
z@}wN{Iwf!JoRU__&q$MPXSug`UOxW1DDO91k>ne$OS&&NW#sf2soMR%cutO$U9nGP
zcK4Tj=g&Jyp6HW!@O|^q0~6`pUygcjsEcMzaMOtmJ+;>gZ~btF`TMk=R+<~2&$B1h
zkind{$0XNt;VE?6+7!BWPYSKqHH9WQkz7-pNTx%(C)LU)1GFsHpI4Xo>b~6GdTf@5
z_KI@V84k|+EWLwn8qM#c?tYZ%E#FG7G|XcmaWZ!FLrGfht~}@(&2#T>NLr6;l8Agw
z>TywWUp_DYt~@7|AD@-Pv(Cz`jb~*@&U3Oc@p(z8eL*h2yC}=zFU!gz*W}&JDEa&N
zE!qAxMt=3aFWGX&@?7nwaw7bNIL~+^lU)<!(HyRaiu{!Ny&SaZ2`7CL;Hsl*xoh`<
zo;rEFx6bRsxwU|wra0!W#mJpoo}@a#F_~@|pG^BiCet+QlWD84WIA#Lwcj_19taN5
zc?0}(&pcmE!Q6i?pQr9T>ZaKXyXdZkj@s|-FX_4ct9VRKkdpY2?sB|D)Q{tPnI6d=
z?vX{jxh*B1-jux+xi(I6O~Na4tsZ|#`h2`7l{#G%3BM@C249ruz)LdL|FSr>y~49?
zugOyPD4w->Q`$U>mXas#@Jw@hrF5)ZkBXB$i{qurwAa#W4eO!XpZ@200Qrg~Qtx(-
zdS$$`?px`qD>u4p=n_vo)ze!qrSsK|s}k$GkA6DKKS14I2WbBZN%YgbB)aTH5<Rs!
zi3W!x(am)N)T^k!=D3qsTbK6LQa!x2#owO#S2=gx{=-F!FL%<MMTjfUwM}&WGyk{l
zgREKiS~|6kmoLrZWZl|F@~!-R*&B98lFyBn*c#~W5+$kQuZf<&DvJWHN{YQ#B;?=~
zX`AY*WQe*deV$yCB9)^g_~#9o_VbopsSqPKuiup_s~*UJ&9OXtF-{7!ikGxMUrEO!
z@8sg*kJ6pz_wJs~GqNi?Xyr;y+APdPTV`?7Dc{`n(=Jb)U(;LrANNu9O{|YY{PdK&
zzdqXHuYU&y=;*Kjt(GxBeUJKUm9+kPx`?07OqN*Vcl&6;jNW>^rKf)F=dS&_x$2Or
z&e|)LBlE*Asoj$2WVwBkG#B2<c6}w8UOpF(#&OcfFIEO8e<1C9-jxlRVq{C+XgRs)
zrnGKzL$Z&Fl5EaV^62(;>E;zBqozg4ypEi6r`?onuF+EN_-$Eu=8iN7xG#<8J(Ry1
zJ{E^+Pi0!qcnOhLGAZvnp4pVZbCteG5uP7gxl<yYU&c|3rEu0v_gpmj95>xu&_n+{
zz_nIdZ}n*EqdmI$>e%XuHRZR&I;Xpz=3M8euOj^Pd0Rg%{v@#m=SZw~3i#@44<C)(
z;H5j$dFu1O-8I`{SB=>2te18>YW8i3G(FGg&ROM)9B7;%-zUA5TQ6S9!;#M=49z?H
z#mc6;52W@S>U-H8S@!F;)Y=&>iH>lOHtj9Rd5!xZF*kXB`7OzF_m(ug8ZC7LVkE`9
zJ5s&XJ!#pQcx`#a|EGK+Nn@T${{8Wim6)cAf6I6NB}myRpQRqpP6+PuOO|$X(0|i8
z>7dij`lyYoo_Nl>p^=B?TJNc^ZhGm(``$X@kdJ2S;;Sv5`0A*fi8Z2FV%-|RwdXcp
zjS2MCd6ik8SMt_$L0+2Su!kNl;jWj^yDrvQ9|k&U{%{9fbn2(H@aOp}ojysn+wUc`
z*Bj|k=q2At_gvh&#>wZnSn0_+>FK`vaxK|CIW2c&+JP7eca4!|%WliPakr)R;oEYz
zWQ^2tzax19@5;t5_hj3z`|{w@Lz!_qR?Y;+NukNl_&b~zGVjeRak}|dM&14(ksm(E
zt5iHMf#<weJ)B5GYCG!gJ5IW|sf)HcLmg&t*WN8XG<v9~4jAO6Eo*!0*B{=RYY@7)
zFZ|+(kM_Rgqr1oWXkkwuZPL_Rn-BHU+WkD$r<{i-dE>@$u6p*hv)-xUq&rqP=;oMT
z(!D2hb>c75S`wtf)OVtzUdxHKFQk~`b9p-_4*wtXY{N%V`_TjOns{HP4!S3;_ul2X
z40pxT_b$&pxho|`-<7|!-IL*d_vLk=2l8mqLn&T7Rwe~Jk>shK%IUh#rR3fhJe&Kq
z{35?gw|$URlRnA5emr}<(+_ExE0Ov|IOw6IPTH=&v%b0Dq9y#@G*5ANJypd+vlRE#
z9UkOuo0rc0%UgGh@YW4$y|vLYZ>`$NTdz2I>o<O9vS_=fmOtyEB@er6`>D*&Wn8u0
zU1u%R-bvHnchDZS5^46KJb#>L+!w0;NvhZVAl(P>yPQ+6WLeo45}xo(JnzNH8<!{I
z)-6`%B!48Cogd27f)6C==KIpQ^L;r7Zu~qdFSY;if#mq~PzL0UmBtZ|WkFT$eP?>c
z_aMZJL&KLcY5i;2o$8&`UiU$+SN_EFX1~aSo&1eJk6+R_iGxZ<M;*P>NuRx=m(#iG
zKZV`2U}1NS3HH$7`yTpsxTo&>>8T~^dg<9=URrvjm!@svrDNT_wAv(3eH-VYi&J}O
z%G~aHEQ6c&{o<m%_Of<u>!ep59QDcUM0&mQPifqlXGzceEX6J+Nb}6^rS9T4vZll<
zo^|j-+WI_~J>{NCxxG(he22$Ur5=4f;*k`2^H5$bekipkK9qm=JQUybkEGp+NAgcZ
zti&I9EP-xu;xX!}^#AKQ&*LF>POtbr!8a1z`kjRC{~(h?KFNXQU*rkj$@PBYPYIuw
zNWWim(25>Tx;>Ax9<S`8{<U1Sc(|MT2D<C;D_mD~^U#@S+Ec<)BRJ=j>+h*v%{=v2
zkf$Eq>Y=kTcxd^a?pk80o3`HKs!1XkW0dp%!`NF!w~;*Y+LAHM%*^0`!^}(@W@hFM
zGcz+YGedPa8)jz5aT3RD%aS7LeQN*NbMAS+-234<l14M#_3Nsx?&*<c%z$Rzrgt(g
z)Ax$ST>Rvgzbf&Yk&SloNn(@hOJbxZIrK_gxZMBpOG>$aio5;~nf_0Rbf5N3mW~LP
zKAXSFUcaxhdT)@#%np(?TZ80FbdZFzrZ}ituv9JcP2xI*$cq!-<z?BQvg1oAehibl
zyCTGWGD>#8i;>6-Ho4H<E}Ks}B_gp~f{I(roK{wIZG@K@G~3&>S?FUrPV+VW$X^SK
z`Wv73{-*Zu1SWMz0yDQVYlOoRn&7DkO~8<Z##t_*x%wf2S=2Lu`F_ja1SRt~e&zj4
z4chEmZ6C9^xVK4^m@(<C#q4V0k%}Mr9n>g?+({EJ4R6Fs!6nQI#zsmh`f}GZza%I_
zsHEHbL-q~$E~mPO$hpOg)6u~aw<uWFcMF!>1A^r^^U@UAzsc?!w8`cWS+)DSlzjU`
zR#ga<-IsrfSKn}P6pxhksiS3gvRLk4Y?CA9?DD=7&sUq}lDdaHQu>?4T#c}ruMuA6
zNRYRwM!vqW-q$Q@=Vww_{EcIQzp3Q*H|bg=FnMOvM>ixejh7}c7kbeSnG%>nhy6{f
zeEz1xR6jHHimxdg>SO+9PPx$6+uV0r%`M6gT<4M7tcMKD;}mODyrj7w$Fpx^<mBxr
zu}4Qp+8W^!efpPtZ5t{(^Z%5N`F_am*5760*${ctG(=`+43SRhLgY9xKXq4#^eOvY
zj>dhLj-NS4i2unmZ+}Uy)nU>j6Mf`-q*NLcEye1S8;jZ`O?JC{%gFO1Gq~hiI*;_3
zZ86&>TFuA-UZ!{xZ&Nt8k9qpd#~fYjYlf8ZGr!LJnK}jh&0Ef^dZI1#roRck;%|y_
z-PpgYzbWYLZ%)qhGiBm^&DzGkCLb{};;gr6`^?LH`eHRzLM)~)^N!4yc`o-co|m=H
zF209tJf|^Maz;i=((+OAa7zUD+6b44?|(_xbD@&_%1^0a`yr`2{E*gR-=*2n@A7r~
zcUgV?yDUiiLzXW4A$cnPl;KH3rHlVBnVm08s^HsIw<Dx;-6+ZPK3dAni<LulZPG23
zU2I<+5^|CM39WRCqZIiwgVnr>v6_W9z08Y+*h)O!{pn*;a9$C>{BUqjKhyZQpIH;)
zX9l9LDg=G=GmDS<nde>o%rUNqjT`A}KD=QpFXm$&4e>T5w|W`5ZZ+*bTFj?!9!cQu
z{`WqW!L=NcU`V_?*c~S&Vq)Y%+h|$%DpKl?i;zrJ!nt==829r2B|}EiA7B5JMFW5G
zTlt@oF6~eLpYT)e@VVE^pYm{EDEIF9CDjs!@w|_4*-|1x;zvYEnMYBQuTG4#B`@Y<
z%s;_6XuIT)bHn*hMLxGwe(sSejKxLgTg`_iUZ$PDw;6QI+xRx|F-2aoF4EMOc@pc~
z=w4L9&-`qRZgN_WN`7WoGCx!8mao~_-`CuY^DzN~eaxE2-X>{2Z}Ygnmub7*YDzt}
zm~1f~sa4S}btdz_u<PheZI_P&ZL<AEtgLGjBl{wvr0K3me$x>lSx1CR%Ee()?9nf|
zUg4Kqx*IC%XNSs^0ihB&HdG38UOzSAFG;ZAm((p4CX-xYvL_^5CPzic<P1^rtxdFC
zI2a>$)5XcL#Ws1F#x4`LIpi$&)}3+FB^O(JB-0R!c~!(}rhm4Y1dF^(@1ox3#3gT&
zx0;Vhb;QS5llq!Nt$a=LxxS|3E?<-Ops(@S=xb_@_B9pC`<iXRK4$V{ACtq^$E5$8
zdDS~FGrp9U$u`Mq24A+A{m~v-)x|AKZt_330G@%q*)Cog;$_0-I9XIaR)W7r%d_KA
zQg2<P+}a!=qi=*u(iGtmG%-vfQiREk+rMP%o?kp~p4S(@WDW6Kb!`~W1q+uHLE-Yx
znF#5yFH(k{ijwiKqj`o{td#5$CzsCJBtZ_ltXSlbD^`A|Jc{#|Z*J~oZZWf7T1@(>
zRx>__mwA1{%M7dJZPuLhHg~vwb8s}eFZdXrFduU}v9I}>#@FOb=xY{+_?Rij@o9e_
zb1s>WNy2$ibT0h6%8T2UTTQt(R?~K`#SHxJk*s6fQrqH^&U0B)OXrZw2jZoAQ=6pp
zijy6;xOTZKS{iJOlC?)7CF|!1Sx_oMD(?#Ce*EF$6&=R&JHw>h-7u;4D@-N_giDf@
z;c_-(grvI|AtNV7N^o1+t8uhcZW|+kV`616{l)o}v9GvYmP~d0`+V(<#a;4ghFi)!
z^@!I(i|JI5^~{S_Goh}R3A^rPDwXv%p0(b_7V2%17xyvUyZD&u6Mam%IX))Y6d!Y^
zr;j;Z#>aGs^EQ)rc$@q+yv>q_oF_E*GRx_^i;G*0b*aT%d*P8$)Kj8}OHw{z{yxzm
zfyL~S{)bJfpNNy_#j%oWN{oz|9WC|tM9J!)NJ(BLQv6Ou$b`n6JNrgR(|6&L{&~1m
z3=ikNVzkAS2&owtA;0HD%KI|(S$CAYej6?K9>&Nf`iTjPlS!%LCBBATij8xK_bHwk
z8O{I0in--uPmeUMZ!ryDTg;6fR@UXMCQ*AY^XsaYS<E@bt-<*EptmXX*4w<Xdz(sr
zJ|-<=PM;s%X7Cknvt=%8vemrJ=nyZHd778`!aSqe62>Bbt0_LlVkU`4w#;?QjK(hc
zo}B+wK6S{~O?H_*JYM#-V9r+~PTJRsmB0=$l4owTq<I)6J4-}Kfy2y$>qp8ZYoz>o
z5h0E4M#!=E5ppzHq^#=@DU+^6N<h6RY4kNpO0SES^u1yvs%EULC><wTO50>v^>{ID
z?b3UULpH5*%J9ql?)<Y${;{&gmc(M*%PeL?Dtt1}YVO*&294%vN4-p8r<XBhyv?K@
z-sbicZ&Pj&>vHqG&Fit=rb26PlZkb@)L*<z)N(I#w5*pI^}uT8ceI*r<mM?IEhZUj
zwYBHCB}H$SysOS{ceC?6Rf|I&{D_yOA8eB8bDa3c#>%-&vC^znjBF>iYo&;miOZvS
zenONC`VlEjFGor?V*T2MNco2UBlAZ|vYAm5;Ea+~v{A*PG2;0eBQuZ2%8i9_vTUqP
zRxu8A7;2ZMV;yp1hLhhs@_&vkE}5~{EqM-jWNQn~A#Pht!g5wqcaznuby&@}hF+%h
zQZKXPwwIX_<7FzOB!6f3HlMS3^BW~^vpv$w3?cR>%=a>rSPyI&X*Isft>!`@tGRO4
zV#ZbH`pztmyq@ZozsI=bbbtO^*O}*UwswfKrCpMAikIfYY*J-KoTR)JD|eU|1@w;*
z!@1+-p3#!eFItXDl)PBMn#HszSu!t5p6-v5Ou@_<%SFrFZPBteSBy+P9V5rP#PWNl
zI7#>=PU@etNyd%wQev)M0wy?Q;|QKtJ&^xM_j1Xz_HGGi;E`z=ET+dSi<$b%VvaPj
zn&+I)MTA*RngA~|hBcs}<nFQiyiCAZFVp>;m+?8|Wdc`tnd*bQ%%<{QCe&^<QHQK%
zeLJg(aac^=6&5ojpT#uk?U7F8tDtEvk@@^rX9a7ATO6|Om|f&<yc~$M$+6rv3GEpt
z)lSDs$1JgObY+Z;%o8IUZ%0e;%xL+i9olL~OaA)NGMIJ<UllEWAEV`Ul^E%E49N2%
z9><FBggEI+Ebp@0<jw7P`LfL}^QJjuc5j{+--zFSmn5FkkUOK?lKGZL9Q5Ps<ka?F
zR&%li{$0yj{R^v^o6yT_M)zC%{gpVM-O0-w|I5ov=NfU@%wDG4FRMv?!fM71<+oG0
zt)}HY@)YCT(ZsC5*YfcEX15HU>ypyDxaY$ap6C9_A+>xRQXv4%J>$i(!zQ1j;-p5i
zI5~PLR+dzal>|>?B=N);X;v{tS|^W@9`<ON3Cnq3f^GN5$H-pt)1z{+Qs8*3^sd77
zg;#NMWU5VumWk)LIOMAfcDX*!A@@2mhvq)Q4}DzH_PI-{Zg)$QejX{BnstDI7PE{w
z$drU=z|S*gT21bgR@3P<=gZ8)!o0oAMSm}o$>L=)pflpW)%@mM`W$PYw*#4rhg;0I
ztrjDV_+8p(k2J{Tk+<#K;<dmfInVR|(eFI-nmKKyCJqUn!#NW^UX?LkMvt(`UvJ{%
zU<<CXzh+z>87ud4#!BVS%(YL&$kfd-a(Y9IR6G<Tm!HJQ^(3)8dootWoQjn?dE?~s
z_BgQz*d*N@o9rAKFVW1M17Fx>?h5)&E1uV#k^iZ@<G+lXTvDf_TaKjmi1Ug^vXr)%
zn^P=i>kW%}>%%#61*_TD$7)hB2b;UYYAzpVZgPhHdCY1S5c4VLSj`sl`d+l2bz98e
z%rOp*wU}asIrly65%IXCbUnAUneUR0clhslBL1(_fah^C4+zDc1N=tWOpBM`Z=BDx
zv&lSsbi8kzR7wyhzGq`a#>Yx%vsih7A2*j`E>WGl)-6`%E$5tovFBRhI7z!CP6~M2
z<kobXY)TO?W%h7gr@mcUN7`lVW{0e8&N+iG{}VpP|Lq33WNH>S&mecp)4m?bX0@0B
z^(<z_T#MOv)nZD<F(1icHTh~-&4Kn-bElux{58aCN(``?VV$g|LLIAllGkcB{kE7)
zcUaSB%w5mAMp|OI&LoeteMf%@bc^pCm#lrk{}8x`aEnnqOZKKi+GKOcqw#jx^eJ9C
zHIJ9McWpAZC1cc&I4Qa~P9D~blTdVf-p5LN&LeYPj+KVDV`Y0#tlUl!CxMOQq}<v#
z`5n!5;Epz~k=vwCi+CyWE?zc}n*$O%q{)7VG;GSVnt8^nYd!zFtL~B-UtBU~iks(F
zd1Nx<N8+>=a}1k(=2%Sk(-u?hgT>_ckZaRf%^tMfDQq=KnV*cxYBhO@`wpQNGx(;(
zJXmKj{(UUwcoB<9^vWYsIrklO-pw<v+_I5;HI4J&RF(Np6yxDiyF)T`a>(Etb}3QT
zE}xIY%h%HJGVz*CZg%AyDv?d{UX7DO^Wx-jH{!J(<5smesaltu)HzPl&!jER#YuHf
zoV09ilbZalB~j*hnYScf=5U^Hlxqwd@-Xh5c8D}_$}67HJZUQb?_iDg%VC%FuI?7g
zJ+~BU?vcTFJ#s3W<=^$EM-wfk&321fZY-uS^UgQH7BiY09`ciO+s}+S4=v``DYmnA
zvu6;Rt60p3gccLIiE%xLM~ba;OTDCSnLXYm>w@_oV>AA5a*hkad3nb7N{94L2s7+5
zz~3%cSo2v|C>}d(@_xKcoMmkiXSGR#*KtzM#7UOZadPK;oRogR_!Su^aXD<#y0cBD
z?Xk%Lw@tov!MAtfrCn9Kls#{kag`l%?V3aO<KHuHd0sE$VSO9_<>VUTs040##5`z}
zk4OB+c%;Thk4(tU^$2oyTXL8kU$5I_G0p=P6LH*PdO?T%7V~qx#nhZ>F?;drsG1g&
zE~CX{eC&}YeLS)*#x1x0cFUc3a@7czwEV$;b-HjLhi6XN-^eM?Za8FeZHFY`cLMiX
z*(LsayzH4BFK>&-%kVEY$-mtuD~8ylczqksRv{PVwaL2t#4YVmr<F~fOh)4=n*=fb
zB(E1Qi?_tfNH4pb7)Z>#xAQvyha`IJkmvN@tITDGwdS1VCHD<!>yk{*ToTP%?S)Hj
z2`uQ5fcc!)@SE@xjLTojTTFaQi`m`}A2LULH;Hq|$riJQyi{TU>*{SRW@jblQdul!
z{7>emD_G+$<&j1IxTO{2dyOEM9A#ZJaVY->XWTE#v#`Goc1n?Gd^_GD?-DrVpAF1~
zSbrJ)HeQO(i<i1J$l1Q}(&VX4YOqGIgX`(r=ds2)-zLk~Fh@CN6W0rybV(R5&uYiZ
z$px$j(r@RLvCE;=cG>E&OZ`C(ne@RSiCa14*j=8#UYq{`bM8N-luK^za>?DaT+5uy
zx$0-POsMP;+hUL0ed&>v<ep-A8E48_%<MWA6Wo}wrisOD#`pfjZv*=4rZg6_GRz~*
z_Ijjpd&VIzk4)O;78~cjK@XV6b#X}!^d=a?Jvul)b1mTc*qNMS$S1R^J0#sZyG)sE
z=U#ty*@xzoYvW}-@%bzuUWz4+m)IDabPTb{X!3Yqlud>tAPx$~OZwLFvKg(f8Q0RL
zV_wd6lxAE5o}AqwDQ7q&F4Q5Z+Bv1lP3OPQbxgaHJe|rV-V<H&g1mL9wp(^?b<4as
zG}mOFIol&;7^jv;c_dvD&MS!5D>;bgT=+Jd#gszlJRghs=RNBf`{?^zzc`iKBWIqt
zrN;y}&%L6boTn{YQa<sVkMsWURNNC}w^J@vc1o5P%=bo;N7Fl`D0b!~ue$Sdo*u$E
z<1yAkX2#3%9_VQp&$D0ARw-Tz<Igs2nLmvp2ADT)ydN)j64<3P*KRhgw9BPnyL_VW
zW?bixf&Ay^32S!Mt~zBC_nLdQnEzeJaIca!F4@g*7Kf#D%e~%ixqH$ri(PJMh@Tsb
z^ho$tG+g&cl@A^%j~^$a-#64FA767maM>es*0Ofc-y`!&cw~BnTdwbROTo5o+2F-m
z&K{TStM8H?A>1EhCifr8$$f7w@oaGBJ&`Vl>|_nX-O$0a!tGM!h+VGI|MHixi?<t%
zPvRxvamMHM{BD42LQUt#OZd`w>9LKzdLdq(e2A9}N$hg1nq6v6w97Br%%5@SMtg@e
zJM7>&%udPP!zttVJ<9{0#g%0u_aA!A{ZIm3Vivk2;*(3tlyJ+*ac<ds(Jf`|Zh2C~
zBcI!N<on+qnZ3*-qtU)-mq!e*IhK3m<v5R&YDa%B#u(&u%OY{hfJtt7$GCg`n@fJI
za7m{sE=m5C{{_zDJ_6i-{KjM2dn|b*hf@mN<=Q3vxL$xm_WrQ*e=)o48o^wlCNZAb
zE;)Y3%l5DI&zI!xr|}ZQt0y>~wu+Y-S?$uHHf=M?E^!>U?z>%T7j;M_uBDv5>X6TA
zobsVB>kPE-@wD7Gg#7XF3jY^QPap2<lE?UXum%6ta!b+aZuxW$AOCdAXXam}N_*r>
zLysJ$e-7#Dku;q=vcDPEDk^%UdsgNuHpaBuZdtaR-?g_PSCJ2#_gqqzvG*%;^<Rv?
z6&G^f5uPj8FUTncmpbKJRj15~BxmhnovACilz#Uq$S$MsbEfHbsnv=8$oMjgew{vx
zU9zVq7iHo+ARl9F1-ra#ZI}Jyh>4xF5%aa%$sMw|u|pa!aY!Tj%I%y^v5_0S(VHe2
z_vYwKOdsUD#fhKmy5!Vimn3=W;u+1vWMj8Ho{EnTGfq8oOLoSW4~g(^Mvq+JHz8Zm
zSd4a<Ve!bDuWp%n)y;qD+%kppgLfs}vL((X<4<x;bf`-v<#$QVx7_=L{<Dbl;QP_U
z@-C;`>)@2qsd>izJ@hVcNbP10DV5P7X+s#3FWP1MTDznrPW}6m$J*N^BjZ+wHg@UO
z%`ORufs6~t!w2kA@rhlga$dc@ltUZ?Sku_cIQPTB{rsKMXcS{TdawG^*3J2^Kl7~0
zU-+MYL6=k<NMGB}c~h`U;+SWyMsuFAZppX7E#=O-CBXx(2Qf$V4|0o}JYM^?TjKF)
zy<={fgkNI^xg~22w~S5UmbI_Q$;{6$u-=|Gi;LXE{e6~jKZAPw*Pa|5$h_myNT<v!
z;gnkVc>f89bmn|DrXG1UlSAG{*(K>CekXa7bvLdBbzEVWzZRiuv0dIW=G573m&LTn
z$k+JXg}?JTqy%H`ra2DjFX(pCKPouo&UmLBMDHpua#bDfXGEVWc8~vBCv{1}MlK2A
z`oqVIoI6Fhc#fi5wvn@E_Hj!x;yZk`TOxM4<p<ZG?!p@0_hwu7Y0N9gb20RT8XQxI
zV*@Tx)@*V@V@SdL`4Q(w=)KZ}`^zLDw(mH_Z$9=g_b8LnDL-C1WXcYQ%p_m`UEd-1
zbF=p2?T}>j>3PrXGUv8k@?5n`UueV}<qYvV^(S$_xn<$JjO7g+a*SiwZg<F<=UfX-
zN{*=Glp)i&hIE;A2Dek%F`o?{&;7~Ha^Im?-WPMpEY<-wt#Qfbn=bK-BG;sMOU1JI
zu(?|*^<vFyxLcBw&rZY3k#3pQ*Dc>#xusNP@*LyOO@~XKJaS2k9WJ>&+$Favle2tX
z@__TB?C72G7xx-U$GuQqJ0*0JQ(E?N@{B;IJY-It=(a-|Y;cG_b{`<NSCn)}QheRg
z-yy3Ub_tJ0ANbknw>}Oj&3flR@>6oO-XV^wEpv$1MKu3($n>mEDciy+xmXuHXgCLT
zI;A+zw)-}id!g*+9u6N^6HnukeDvcjqg~Q-n@eoBT@o6~T4o|Q&+a1kmSMcANz68M
z%RuI1XX?5oB|6s@aq~=ew<K}8Wd3W`Ug@_{oC6wSxe0BUm;CVhI&)|GZ=E*W^CUa>
z(qj(4|A<q%5pN~xIc0Zxr_`g*EhZL!u4A76w?le$a!Bqv=qk-zIKM+8a_~w{tCEMD
zRLmg{8E4nDa7f>Q4vC$|wUdJmekbgZK^_P9>UT<i#@?rk$rFsfH{zZDKC5C-5B__;
zn){H@{>y(eHWg<6$9Ozs3clUxk~BA5QvS0`Cfi-IlWU9PGPvb!cKn-@{)|80u}0Fu
z&n+v6g?IGXF&Fqv-#TJr6!VORE}5R)CHo_or(foNWaQ`k?HPYLFU&;F8q2s?7<(>s
zamt~RPMMIvDQj5&7{GOq7MmTid4@w)4|d3KbhmF#ztotee+M*j$cvT^nb+O%@3qG+
z<U0R74!Om7W<7kHCzVseD>@~Rv1r^Xr&PV+6i=M<-{;r-)sFS|x!iw-n2zNfW??Fq
z%&zE?;oTTVrn_Vcehx=N$YYljXD+;wzG=5{jgh#W!0Wbf{#!wNlpuy}=ZFi|0dH~+
zGLAXq$MP=elal!)<sPT}k*r}g?8rJp5$<8-a?0ZSPKn(@{v?M6HgxjbdZ%2(H=o`+
z<f38jg@&uk9sHJ%+%v`@2ZwTwf&QGsSeIh$aSiQJob#+K``C8XA+`_r-Qtv+lw)OG
zVcBq}B-qG$-7Tlwie)~>bL9p$<Gi1FN8-KQyYLD3fFbri<#aJ`b4g?Rau~K>#$V$(
zZ~VcvzV~-rQtk<D@eDn@mSBtxH7*G}=8_8J<Fe$t5&c;w!nbh+T;lY`-;71ujx!d}
zuJ<}I@8H>T_5JYi8^$7Hy5bzpU%H{Ul2giOcFMfp#4LW^M1THvlChNWIffW_pncF%
z=1#n>TkDWAI~aS8JLK7Qhm3m5I$#|0W#$;eOFN}c8`^V%Q>Jfs%5!pK2K2sQj<tpH
z!OibVCa=Q>hWpTbBi<6ZxF+XfE#4)md$Jb8`Rn&ZE}4lQ-+eA=c+@4ePM{x+H4gHd
zknJw%wvs+TJjfuIEN|(OQswBw8C+7x#&}0NE@zxyJ&XHdG3NK>S*IBo|0@JLr82p5
z;aaCG$Hzzia!O5X-9%qb;bu(w#$4%{L%QBzZQwll`-DSw9d$_1F^7~qgRhB!L-&b!
z{F*R^`9)&N$%h|nIVELJG|qC$<GoJ)Ys`EyhU*NOx!)M$zoQR+rf;1(O3Xdw{#oSe
z2dTNHR@^05>M@p(cl?LB<mF_S1kH0vvSsK+-=r1fB<3ht7<cxKbIB6?>Td0lV%1zc
z=glR-37NnAqz(V!K6d2957Wt2U6{vK;CB^inAb%(B@^drf!Oq7wo^LN-!c)`UAeY4
zDuYwjc{};P7W%%>e_uId+GG0g1J*_!63^tNJ@~X+2szH?;CH7^S(KgFEz5cpc{$Zk
zVujrB`!MV6kDU^X-bNXS--@iWV8g+w+%s%DdarWNkWZ{Lxw-cp{yC54z*=Z&<&q6O
zSXUj)ykr#P)mX-8=r__OADE{+>V}X1a>=>s%$1AsyPUKx*-PJ;_<?%|5;wQEa=t%>
zdyuJK#=&=)82`wbt6n&z!D**-Si{_&T>X{YWvfHpLbDHJ%8(?y(x<=Tzrta>lEX8S
zldkdpRjfm*(_h~+*3Qo6<e7}LT|K8<>*|ydlx16uR<0jaeCCv9#B(rn=<UQ-5ypso
zW5`*nSeHJ*Sp1N4bI#w~UaZNZ*{=vOU5PwPeBVdY{`Sl#@Odl9+`%OaiC<}eX2#lY
zXbs3r95Ciq3*&z6#7jbQRk97-V}(2sPdv}7$~{N2bFV)O_t*L46#G@DH0B(!0O!R|
z$uX-sIOPDEn-JTF@;D_rJvla+Q}%McQ{9K(ut8GZmqzE1bWYipi|?4HwX5lr$!(nS
zX%PDn%k9a9pU=}@UOFW)`8gpm6-e%=K+d{8h`9iBtpdBqTf)6lSo@eAj*aA-V0=|8
zuS?#RaLEF4cZC|X1Np2~9dc1k)-I|rb_FuOD9AY_TBjs(Nq+k6X5u6tvFtg*oQAf%
zH;(&9qIXzz=IcD8ail-@QTgeVP7j=N_XP2~9v{tcO83FUcY7z-%$yR!obY8aVwE+o
zT*T}4%=Al`g6|)r(^ZIl0`VtW$I$<8Fn=jLj`gY~wBa7so|$XBd_$X|cOmEA`keG6
z4Y)UDFV4j$)Ano0&-CM?x47TlJK7<FdrDeeT!$v#q9qXBN6BUFiSzscE=kXPq9i(J
z<>cIe^Q;<Z4RfI9JNI^b#=R10yY}S%L`%7sAu+Uw{2Wt*TwQ=1nUuC>9NzhgaRa+{
z(T^`LC$CP%R(w>j6YCO9xjujv?}|>jj=#&{#~#Fb9b)%Q8Tx4z*23y?d`n`wJ25hX
z@q8vRu#Ub#-}S!9wh!b#`p)Q-|GO8`=33l;3_Avn=3Y^YnBVT;9!JFB<a_kD5Bx?A
zKd)sj^4g!ggzm_6^xsUxHTu)=`Vs$UNsj-C;mT<3%G%8k#-P>sHpyw$owuQ#v3J@?
z?xEX}ZPeGTF!#Kpy=OYeFQ3V$<gG5J=&Re92QGF>p-K392>A*P<%m&TS3OSO%uyRH
zwTN3@2jc(Rw8ylzPMO$)_#j6er>!>O+d|u&lKV9MmU2f^ep|a!PNv{qjkNPy`cv*U
z+>?r!ent+xzJ~kJ9^m}=5_%tSAD{QX#r(iV^7b_s=QzapWVByS;F6`hI{57C<~zP`
zMn1m9{>>k9k0yLu{SagOdhScfSk!75^>yGp1-)sBtKR8}b^362V%qCDe#FQ2L&PO>
zgoO*8(i_{=U(w|4&*Y$l9rzCIrCZZKd0pGyDJ9wN=)-lmVd$CYlz#IWd+_b~{lxl3
z`o<%tocQXLv$Shj^hV}o{!WfA*qrtE-n2h`?AJop5w~#Obd;Qe&4cf==Jc9%pCD|+
zca@{KR~OnE+qnOB9N$NCue>nkX~FbU`asUd+~<h-a^+Lp2WcnYub>U5Qs!XtR6Fhy
zTAO>J2GFLNS?lm)4KIrM-g~FC!WZTo*B|!%uP=94gpO&PKmAQVL{HEF{Dk(<-sC7W
zj_J?*n;2+58r`(bkGbTiRZi)=1I@>sGW8ngnzZA$5c2kK+A=xz<R)HOb9mPf`@7KA
z!(j&Z09(mDx^{5?Qszaa(LD4HpUJgjh|@Hm8Na@g&zYN?L}MP>VG(g}eZ@U<@oSqK
z<fL<aK1dsGVw_#X{ir5#|Fr?^*OvPwqqj~;@_#nQq{OVl6Kk2ik+T>#{=QD%J;fYp
z4{^HzKQ5&o&mrcga9w0P^Wrh|U-UhI;<UpAe7a}4Q?}yQrYp(q<mA=|oigA&IsPB^
zf6aMkDDCKCE{ERsxwxNTY2vvq^E=vpW`FdJ=U!Fwm?NxZ9>hE$FPaZs<R0DVxIv#T
z#C++*bM6684$lm>XWZxN5xVbkK79?n=ehs(5$@?qdp%!;<~isbOFQ=E8bAGJ1$tkX
zqTQ%_Br#Ul!?{ct{TCmXc|iUpu8WYbSE70NCdOBEMBwXl_^%%0%yx44eYnZ{IrHfA
z^w+|x$<v$3;l#%Ilgyp3(61jlrPl{?Rk%~yP)Abg^3F-_q^+ZCVAEgttp|3Gpbrv%
zLl>iEJvkK3nThSmXYn__{`)%P)h+q~`Dhn>=6x@=Rp7f}?30y!+j2~m4cyO+G8Rtb
ze3x7m&<o$TB976UCy;ahJlv~04Q=d$9kEWy6O3()m0|eh(<R1CG|$EUk=yvZ9##>f
z<nP<~{33MZ{bsgJ<h$UloD-1WlMu(N>9-AUJH`JwIsXeen*I`NVGf1f@a(KR6zATf
z<g67<(A0@sP23ImoBQ6);+~mH$wAn?d?z}I&tJ#6=iV9aVS0h}^Gn16T;u&kbQU~G
z9y&}pXgyCH?^r>f=NuuBSk5t&bE58?gVCnN(OaktzRu4)Bm?J63CSbmlLEh-lI|mG
ziceUNzvYw}XkLe}T*T*<-Q*>7AHj#A8@XlxR^C5DXP#Z;GxC%B82O1fw$X355+^m@
zkf-P;Ut%c7i|g&^&46BgmTF8z@=OE#LA(XxheyMhFJR|nV)3tK+;0s(58lRnX%F*G
zbk9G+dh#*OF<>G73_paQ_i?Xr+T}1>4-m)G7LuFD_qmDXA_JMfbiwZ}$X&IFC-f#N
z$nQupQ-4zK`AhpxizfeIpWj=jEP2H5m(VPi>62&BiI!~S?w|NOJAS-GtgAoE9boJ|
zLOg2>qqWdg;{OhP;Th+<wB5R&%)M;P&xoP&DX}jb^%v$IedXz=br^TCClI^7^=E!R
zit%Fd|IXtY;O9DP*bgm>(0vJAEAeA8^cUpy`wqsNt;7Ja&>gM0iQ`Aa#|+x6HT|Pk
zU)Fv*a(>i|*hcTXvj4lca7<R_T-cG;m$8eyWuYGrCkBtd!fyIsV&bwXeewJS`Zv03
zqiYl~8;yS9^(CJJ&ywqi;U#DtN?&OEm^Bl8`#FeX>AM|?oe;`@N<D7st5pcQXzvX*
zxIZ{CeXkw;vM1N#2Xn53Z=OwI{(zr7ix_W+(TnJQjKBA8q>rM1DX-i4Jb~?b`F=n9
zWn=%P9G8*fA5zXk$_s4I_NLq)x+eJ$y+w*Jcg?|i5`DNYF+IXfUnBNP{lJHxobr*r
zyZ}F!#b1%+?c3xrT|2j<y(7fHB|e{E`#rvQp|v#ocjLGr__pqM*2SX8(Z88{`Ll+U
zinv3sJ|D4OX>w&%#zkT}v?bTHI&<H9d{TKBd5FH;2HU6NuRZh8i|<Y?Bc{<-ZY6z{
z*YwMoV=N(F7Lb2tGan=0U1ls#gm0G;D+9Z641Hx@W9H20tyvDA7bSn?B1fbr?uqF<
z-sCcT+$Mstmbfm7&8_is5BhVz`{XV3EWXLug0|$KW0&g&`H2{)at|M(b@mIVBzjLQ
zd}R%Rd{7{cxiq;sFYQ@6HT@I4-}AE;UXuJ$iTiL9(^H7KXZUz)cjiLaT5UM@#l%m?
zCK1c@$06uxG>`K-w7r2jke7Big->hFWDKHhCX6R;=nvKL?d;z8lJ=|HihkRWwGHB^
z7kc&iwq5ej&Y5VN6pW4dpesK99!s7ju0N2kM``|I3@u8o9YCCJBM-esTRLb5TWE(6
z;=bThKI7Lx@0hpHAFRYkr%2w@evhr_N<>VdcPM)O(Yq~xwX_P@N!!nA#5p>)we7??
zD{=UB0C9-s1!Kr*6NpXv^pa_u3(Vjc^x1iRKsy}5ryFRKZTR&rS_=&2zR&&eKkb&G
z139q;^Rou%uTGnxSD(%OJ1_kz3*#}i6i7@vdvVT4f7?y&ie;V<i{{hBc71f5#@C7Q
zUqf=yc=T<6L%cu8wq>+QEByNNGjSY(cG@ci?beo9&gw%OCm~OzVLpi7Ci%!Y)E!Nq
zT3(H@p&s)Ge7vA7_unUXrN=)ZXtogB&C&4yUk}57B_<ND=yUSw0|nSNi0|HxByP~!
zgJV|pqHM}2PFWWyGl;S;QAhW3%&n-iJ8d1FjsBmGeUmZP`4Rub-<5dABl=zln%%_q
zV|=E4@&mf_zh$k0eAEm|@;;nxQ~B-_`}m^u6UX%C*qM}3l(HI7<}Lcm^0bVV=sigr
zf21$D0?}ES&$a1Gjj^#MbAtA)rFNwcquGM}DTWY(`1&iF){iD0@cC@G!24{p#WB8{
z%sz|QH<V*`(r<6$+kUM$UuwcUye`|x6P3_AD1iD4U`q~;%}Aajf6gH8F4B+ty6BgT
zBki&KGX3x|xo0E3E=bOufDhN>^Vv|1_gB%GnD0`t&waE862}$jxA&doXkxi%0>;qf
z*g%_JM{hOs-YCMh(yZTAB!AGq4%X-TKmPcuHGaolf9#%uul^!FM-61GqF>I%hePrC
zQuxLDS?KIG2%GyeFGK5f;@HuNynt^X6U!^<Cmz}|7kX2n_cMBT7o@yg^xMqj&osm}
zeppODK7gIoh{g73PC#t8Vq9s6mMAne!-xIwc~$j0<X~G~#@W}jOF6WbCXTPtZ(ouN
zdJ)U*X~Uf<(376Nhu*h&@L^%*4kgLK<*|o&n^EU~_SM49X>F*Rv2z%HPSlfgpFYgF
z&>e=ZSNJg*`WN!rmd_*l60@|+F|-DgqZSY!NAPXeX85lGeY+OpaTUh8vRp$dL0c7~
zt#T9B*kQ$<ci82ZnB#nj6AQ6`k3OQg7vt1SwA4lSF?8KV`$DkrK0AH&8{7XP7CN9c
zjyTRle4MAv?)otoOhSK4h3y&0pY)y8=+%4JcA);9*m1Km>l@^)7WjA_F*xBbayXiw
z<7Zu8^g~NIbl*nTN&IMsRj`21A9~PE#KH-*)?)u=9QTDbOGr77=)3hPcPi!Ud}Ac_
zHKUya^3s2@GnNz6i^yBKld&d{koNOoJp#@3@v{&9YDA0{ME6#7oksg0xCZC=+=%U?
z`96UCMzDVwjvK`BNhv1*<u#++7wBDx-tOqFjoy63S1f&aYemivsxwB_Vf<}~uBNP6
zqInIr-@spkIx)tgJ0ZGap)UH}yk>@NY+udy7PJPje`9h$ZG8KZa#GQEtu=@v#=WxW
z-H6^;^lH95lY_A=GdUzJIRqb9#3!$a>v!JdNNlfyzYdbOcjCK3_`5pVLh)r`UR}_I
z?Tz`~p!Fm<Dm%x;`H_PXlOO53E9onHXwPrxt%Y8F=4ZCz^db82d1Cs073Ns@q6|J6
zPQPn{&6m-9f&N^%9rmE-C^5bsZ8o?LzHpB1A$-3At=G{yy*XORefNo#VYQjNRpZ>M
zBK4NxSq<o&SA?99pYw-Y)Ss0+h7XqEiz3*V9$P!3IWd09Z>4Pd<3H%>NQ{p}TN<bg
zVUUOIZ)ua1w9N%C#x-C3g>Q?I589<9C(@2XGts8RQ7QD6La#pOy<jO~om_H8eNg>>
z=We~R)r01;X!b>OH~M33^c-kQjz^mfUP2j2&9)J=Ne8q(LhD=NcqYDmhHqcceygi8
zhNE{Xdat3^hTZ}Nn1AF(4{aZaO`oyt9yVHu!?}q#PeJn;G!H??8uXOMf346ShCW|j
z*TP=5m7q<E;MbLC)ttPH_DV~;1<`k-)6oYr<3scYp!Xl@>{FC{iVb71<xvItG(P@G
z{H-LeBhVa$<`qrx6*|_TI~q;T(Ow;WrQiVX53#K>-*sf4l<eDsW7>198{f90tWlKN
znX<D}hw9a5jq7u;XJSKO4st^l+8ZBNNJGveu1Dja#c1}y{&(oej_&*D4nx~im;>H?
zj(|pdmzo%^#=dts<_O0IQATIVN=un;^d_T@3e=^~Tt7uyhXrs<AoKk4^eue6p&E77
zBA?)&XzcEf{nPN7j#X39)P-F1;16ASox!$Be7BH&Ca`bv2J~T$twI?;DXUXup6x~1
zXQ|^1dUvB&pRYS3FSh689E6yT%7{<XF-J{JEMRYc>`s8MtO@@&=gfen%4olfz8g@8
z_wi7KIJk<|GideWm|ggG3BJ9MmNADiPt%se(OWkU^GEb%K(DJfV`VAM1;{7aiM#3e
z<8XE6|JYjryXT>KI`NsKF}AC2e7F}*K}Xogw()%DV4tjL{mC)?Ym)=<?HXda4Q&`w
zj&n!!?m_R*qQr9{_Q{7`xp+^!oyHF%@JBD~T!p>54)X~6L(tp?ExFL$2wgAHcLUP#
z{+51bdoA`!z`og%GhawadH6P2dip8-WEgGv7QLFE<MR`%g*n$P&R9~Cwk6(1;fHnD
zw*Wh9V()1*e<rps)uaESWh9#F;=_yZ6c$1V+d}wmG41jht-)yBLcdK<o3)_r+R=uk
z(HmNtHbrlyV$3DcTb%lD(TB%kPd)6ahJF38^A7e7L~~0t&q>BOg_f^qN(-COJ{_(=
z2R=7SLagw8L9`}CYdPX$2W?iLw#!Ky=FWz_#Lx`%KBB%nh0#d;=dj}k_WZ`jA@sGK
z#9$F(aWtAIqPY^95257&x;LOJbpzI8!NL21FqiGE`2I0kec3+-tvhHly-wDH@}^Sm
zB+BnWJ>{rR???ZV`cGiTcI-KXUGK540x@`-xL%Itjc5)<^Gvi1ME4GKY3^11mBE0{
zzt8b~L9~8g{}&vWm^K?lImwCThm?Di^7m2Caq7ET2pfyCUjX$G(_8Uz8+`l)pH#s&
z-OyYY%|G#1J+yQ{cTRMzfy=N8vO;UN*W~+e?5F$p;kZT|@1mS3l=qHuGo!aUdfTG6
z4|>NGps(d+EX>7NKuq_*$Km*RAHG?OW?d5~g1=s&<sP~d!E&_qg9YFOy?$_p@2%{&
zfc;x>Tx*V>M>#*xJCt&DP4ppp*XJikptl-&6QTDSG2NR!_8ni;#V2El>oM3|1>5zS
zacZ<=#CI>DDcUAL7l`L`eQ3$|S<t$J{UbQe58wWzoSnpS1@s=HJyWB%7kZDNSJxaG
z=fk(T=}Y)P$EFe3*cw~=Ve?UJFGXxdqa_C4m4~ZnTLA|kF`o~^D!#vj);!uq_;xkE
zT}Q0kr2W$8AePbVPrI%~Z%OptErQ*}$>Z445+Cfrw%6Dggsp<+e%Sto*i4D$gy<0{
zjkcc94C49R8K(1nf3&7!-}z|0hi^aO+k3R%YTB_jdf(BmebD<Iz5NSv9*SNamx|{4
z-@55zY<z>QDbPF$&B?L<6Pm-(QweUPZ8hwIIGDw@R(#(TtvlE^D_U=G>;~Fx4efUd
zz2THy`Hx<GR&{su8f-|5-qxk)XV^9y8wX-*er!I0=HzHDjgIW-c>vYXHcItD4p_^!
z=Y0Q){dS?XD#z@ly)-X-QI?Z-d|eWo(A!n(qRv~?J%u)}g)JHJv0qMfW=9vAm;BLe
z(7X#B20iIuC)$R>SkN)2BHMIc@r8X7ptUnvKXL3r%IHj4O(?T1WsjzgZPcaD8rSFE
zSHgxK*zz|v{f%v%%Af;VFQPdB&7-h?4m$dvCpo$%!$~*_Bj7jNn?Qf|Y019HIA#OK
zdQnDg%IZ&<qbYkZb+n@{ecpUlV#|w|*6Uf}*yM#D0`SMgY|II=P#<<T!Ty@)=#TCj
zXle^N|Im)tn=pXyYOqfO_MO5pA33%UWu&02=jc5_*}JG?CwdQ{_Y|>pfj)eenAY)e
zIzFxyh;Oj7ANF3u?pS;kkA^#F8HlD=kP>}q;4|;X!zaE=3z^t2nq#(eY_YP$6=ele
zW)}2TMQ<x@Tl5Y=?<DlDB&N?1(^2THj(rES(^s)q^UYQ4zl9D5dOAV`+D^k!cn_7?
zb{`h8&jj{e$uZBeay(^RL~lpROhwtR(R&!Z3(z|dy$#Tt1HIp|XA5>!#~(MbQ|%pI
zj`%81zejT;v;;$Qbj^nqFc4DfXSP3MAJwXHe41l>&}I>o)dRhkY0HF^Ul+X-(R&2F
zU(uTrJNjYI75or@eR|%cv6vUlDX~3o7LG^DJv8-%LXaJ5!YW9|cUNF7`>kew&3kT+
z?@HUfrM$uDO-Y*y^^8GpN%a1t{*BmC3wz#RS7+?Ig`MfJw-$Cc#s1Rhi2S2l^KL%$
zm4ei8gU^j&AK!mq-(MW_l4G~iX3Z%lm^SQ1xld@*K<ZgceZlChO8uL#!ykJlV^<<H
zAHdFjXs(UTHL$%W8V;Z(E1W^sBp3qo;W5-=`+L~TelyvBA;+EIcpK%kpgg^1RfF>H
zQ%`s5)92SLrT$#lu@`%CVb@&j)9ZPuu(t?y=fi$C97RhNG;N3X5CJb?H57#neE*gG
z5<?1(v!V4W<&2@c^pv}s@(WYXZtBx#Gp(Wiboh89_LRWK&#`X_KIwt2&Hwm$0UF+;
zr4>Y>OXtKp;4H*Jd$xaprR>)Yt^Xd!@iQssD&?i2+)<SO8NF?&?*V%2QvW$(IxqH2
z$H$MbEirZ$#oj<P=fL)#umT;K&@>)S!5ugYQz18O<@?|4R|cAMTr-X@Lpi?ay+XM|
zC_g27_fuaD^uD70k?2j2EjO@B$EG&eSQT5VVRI)muR%jJT82VOc#bxK2jI=;4!RA7
zvtKdxPrz|5NK84!D6a?Q?nbYTI+{@5UiA7<e+TsL$Ce0e%7@+t*w_wR)#f7D{uAb-
zLw(l|cEANV0y<wT4(ItkKa6DG9UOO#<IhmeR>~WT-s+U?p`Me}*B8B+sQV#$7h+3G
zY$}Lt$^XQ47BuVJcM%$*&@vh_!3VV6gh$|l25dVGHQDbM9OIa!96KAmODXFBWj>?q
zgw#_Dz0;}lDs@}1qYQd`{PFQ}Y+Qn^W3ah4w%cJTIufI&H*A4(a2&K9YQkH-Zv!WF
ze~!xo<td{AWfekiQp)~HJ$fEGojRLRcQ$N@M(-nRx`1t`uu*f@7i`W9gRuWKI`q0z
z5_p2Pvv3)Lpa9$EK|=P^xp*6n$<6UTloJoXDKi=67ea4ijVJ2dK-~r#bWPfZW-n}W
z!*}fDp*1oUy9=V>G!#P56gUHq;XWLIfsh<lv5z;j;h2>idx<ihQPx|uKBw#()Nz=)
z^xW)k>h6jS`Wu?+*i;?OO|fqfc5cGvAZ)J=r_oUlV$h}I%r@8oSHTUf`0ggOVBc8K
zIqG=IXh&IfD6<-6*P@Q5)YX|f2UGV1Y?z5Hv#@C*w)MeAo!=+K=8Mn)`#(Vwv}}b}
z5c>yxzYR3@gV?7lT<4gy(3~<RP}W+?+)LR<sN)EA9iYzL)V&=Wc3{f^Y`TPPZ?Q2U
z=sEgY?6$xpH0ZqlDw-C+5KzC*g0tYqcLU)&Ol1GO9QzS8mS<7sK+5hw9nGn$A$8WJ
z?&{c37F+URQxa^`Yahq3a}f5X!|r`h03D0rJ)}Wf2`CL&A(U;~p$7cJzLjAE$Lg4_
z>!7VDZ!BdmqmEtFrSqKY)cp(_zGI6w<ioC3*tZlr-(hb>wHf<M!hN(%g+`#`bP-VB
z4~FBAoPDN30*=`RjVU7mWj%!LlslR7yHQtN>MTaxX|O@p(w<<?ZtNP0eMPYI6^zDi
z3-;@r@CD>Tlg_nAz*y)76~V!G+o3F+=9s)NjpH9uR!Y#h#z@LvPd%5YQ=dub4F$2I
z752=<uAA7W^Mn4_`$X-A*XWo4r9l0yefu4RL0UfRIJ*N9v#;j(lpK2y+E9-6-3PFi
z^7~OwW$M#s+XcgE?3j){YL^%G9fcOy8w5IEcnSe%84LU27CZp$;~Stmq=94XR|U>;
zTppN8IgcqbBebP_9q(^YpFY2?DD=dRE!gt~yL8<{WAF#|b^?vdk&qd5eBKFjVHzxk
zqwoz%@cknA4dXd3A!Y1<hLrakPE!6z>M2Wo`m8*m{%P1z6?<Y~8@AQP&Nrav5^tdv
z8rH)HNP(`RPzDM^5_rXS&FgyI<T3lVgGU@+2{uq(6y@sq_FU?@Pks8_z?Rg#4m*Od
zr!?r;6oH+cLFc`_zykZx(HF{rYESv+RX_KEy`WmVvhNen@$EB=r@X9`dlPg%S(y4h
z!D{MmfE{+&hD|lG?+x_D)(~iq?H3_ATAIOR(Ehm_Hp5J43z^^!`wav)$4vtV<@A9&
zlv@BMQ^ynP%L`+u`wn*GhN;*TjD0QP9=5iCAZ*vQ%+e5xo|~ZSGn-)-T!L?qlkW$D
z&RdFcoccB|<s5}Nl=~TGP)9-PdkABwI}3K`e=FK!Q#ee(Mh}d^=Fgz#Hw!`a*dZO-
zbpDwY{NWSZ_CZfb4hJ|!eXHl!dd_)>GBd&?>i9@~)nGGqTR>y_9yV2mlh{}Wu3&R}
zu)qm)jDh-47_xzC3<Mo_7Qh3@!M>B>2Xv*3kI<JgZ7`oYa#7a>XieQ=FaulCV$&AL
zjg5L9q4`?pf;T{QG=R~t9Jatlm=FD+9N5`UwYGpzj@Necf+>`#Ik6wSq^{a<l)AIS
z5^V8>DcGgw#TwVS{%9VI?fD@LJy&5jtb+}pdFdWFp)C7Mg%?ncV>K^lpe()SoSw2b
zLm}!q4YjEIA+*Dm_s|*JUV!GVLy#ETJA(dJ?G<>VD?1bg&Er|Y!*)FfS_dsbbKXvl
ztqKn*ORp`wrR?_bjJle@4eG86=dq<C2)60`;{&#8-&4&`v40tKgi??J68%BnmxfNT
z9CYre$Bcuwps{=g0w`P0_lr>1Aqb%EV^9KH4niJmTLCWUguTZ>W4js}M!`ln1M2ge
za1OS>-%tnq;UfF@gCwwva>|2VXKxBmsjCgVrf!|{1Yye{&~?1Up!2_bf9x*7YZN*z
z!y1?fLqPpL4zw*!!#BvyzWv}Vq@s)w@CNErwzg>ib?H1u&(BtYuJ7pi_z!4-eaAuV
zRn0r#6Qn|m{`N%UwJUUoHlS^x*Bm3*=QNCj{Ge;TqaYRRrCeRl(d+H)K+l6mfETR5
zo<eXP`}#l%xPsjip@!NIztHpquESN(yry~Bo9}ci>kYdg0%~yl2KWs+*U-FJj(SvY
zdg`79(a;Hdu7dh_GUyy68+Lbtb#NPgfgjq^KswNK0Xy4X!x7LvtN-n`aqJ$@wu__8
zl@I_osiz}EQui#-^{ms_(-PvaZxb{IAGn6?+MhN5RE9i|4pKvAC<cvSB&gO;kcZ=j
zfPsvZIT~I-Me5lKy5>I!9z$vDSq7n?<E8%I@+qXk{(7K(TMdUnV^;I;Inep>BG4GF
z0Ggw&aNKw(3a=<{3giYoC)3~fyQzCURDd_wGX-?M^#VH=Ks`tdFVLWK?0GO8dV=a#
ze~yMFpw|$z-=|^!=CBezg7)2+@E)|DHDH5Q)USOwDfaY&vycEgo5OOr4^}kj8bu@M
z2_rz~#rmqBb-RAA`#oU)mCzEBz-7uC1nEKNlRY6JX#UW7$8YS>-?Ov^{cY(rY@GoO
zArnNRMXv*$1J%C!&#Qjc?fQL2_Nxy%mTT_QoUi9a8zCI@x0Kqx`pn`6)V&2_pbj>z
zfOn7+Tf4w2xDKI^7(KcM6acy=RRZ!rGKk>&e_#XXHRi(bopQE88%O|pzR&~onat;@
zyDy}N+t@T2%0oQ%UWB>O5z2s$FFIbuqD}i~3|RP_7D_@Jm=32P9EwrSa5x9Pl>ZlO
z2i04Xx|hKRD1=SJ-~>d0+N@*LJU9$@;S+>GG^oZP&~fJkECtnC20R?E`9SBZl|g^Q
zu@5?f&MB`^_gK)m^jGZK0$o7oT%p)}9+tpBXa*Ib7!-seP!<|MPnZb@;Vq=(_=YeS
zG*_jd{I;O|SD(2ZNZpe`bBV@uGtjlf+u#Q6gRNmKXngMm)piz6!$DXN)1W(4f)t?R
zxvtR-0R4@uUQgKpogf|Dr|#KM13cJu8K#5UngM=b`xV#<vp~lf&EMTYH4X+n-&+mp
zR~>)+IIau~fF1A&a#DT|*aiB$aXl{_4ktikTE}9waVtCq)vP(Y7O1a>!9-AfI(Hfa
z>eFUW3RLSij?p|Y3v}GoYbiRnS_3-%riCZey$o7F8qjsTt)Sy^6-WaSXm|u?VK?YF
zqx$qbZyOv1Jtz1AKI~r@+Q4kkaW@(?e)@rqM>-Db{9XH$_Te{>8r$l@-=OE{4?tsE
zb?Cgm0@Mawudff)L3L&aU--(t0;@sikY&LO{-Nw8p!rdsA^(oLHOBftaj;|C4Ok5W
zp*Co2tIxDgzK17pA0EJSP@Qp*oPCNyGZ+i%+b7^hxjGgNhyCysbk5Nh)E13tCltlL
z4lomR9aXO<hJgAyIhr#4(U*<a44`?~!FONaCTKh97}OdHfQ>S*!D7(5azF@m>pXfq
z)PdCS1shMnLg)+iKy{=C)$RPFPc`a%A_3cUoGlIwK(9Y80xjb+q@+ykFQY)$WZy$-
z>aGV9;1Fou(tcbHy25nO9D5O-fNBbZm_LN`8U#;4$DW-q8+2@|3L48HlzA5BfS#k|
zh6w7u2=k#m=sBwP<L7V$)b63s8mfbir+Fbe==x?Z(D<zYjiDDzgY9q=bR5b=nRQ__
zXgt4!MATgo^qSIoxDDEmvtnlr=n0x*bv;Jc+%#72z$4K9eIKrYuD5Q7`7i{u-xdZR
z(0+0lra}wI1yR&}1(riEC=baY1Us*R#^fAO%^g8C)dcO^N)6E5)($lOr^6<=2p_<Q
zvh+NmHB5uUpnWJYb(e!)uoTY27trxi$EW(Bn#aQ;*Z>-@8s`UK4{U+upzWe_i<Y4M
zHa%$D-G^PEG1MG1XXv`lJ=g|1E;R!^FW2!h2z#|J?+2Y<PX!%M`#?9)_1qpX0LFmk
zr}c0g9zYoAI1~sSVFu{@M*Zte-9<t3<`mcscOe{-W3P@Sb)X{*h6ykW7QjN72O9HZ
zLGzRLS&ieoplznHtm{_WK=o?A()xTs+xsLe0-by4JSZ3Fdfqo|z7J<$7wB~-jdAt)
ztUs^%S-0!=y5Btr1}~1!0o9==%mLN=6r7;(rF~fE((2>mpldIYkOZ6afc9tgwd&D+
z-5dJ;dDYLly&kAvb3r1A_*0IKb<1HG==pCU@Pp6PeF@fsuEXoRK;t?qsOC^?e+k+j
zb*`lSdLQh8y>JLLH(h~8pmE`VR2-}0Py^7hXf9}e)_Bsqp*gDzXzu(Q*1~B}&7t6h
z?dc#NlmeYE)dcl>ZKwv?9-7y)fwoaR$9)3L`TJoJ41uOl43a`9b>9KCWdRI^=1>My
zvp>ZA(eZ*;^`C0j{;k{sjb9zRH6G$2F~{f}L)+~y7y=970Ne$wQ|s0kYXk#8^Qg{+
zbbkLFeu5j4p(8VBtZFVQ_6P0fxgjH{*5B-_^QotB5w?Stsbx0?)tel&tslX0SOw#t
zD`-wF0jfC(=x<IUAp|~y<|9Sl>o)yP_tAZ`K}o0wT9%fnWosQ;S2(EN!k{s&=Px?H
zTmy&UI=lq6U&m4JKblhUs$-3!?^UOMr~8D!3%CjgVHHe-9-ws;ffNu!-I_ymEluYh
zvqAl#aa|JvK>MM_r~2B1CY_hW{XyUBwgh~a8q}}aPI_z`7z8t66P$r35C#dUI}cQa
zcA)did9W2u!7WhD!JvKG0hT}dRHGHtr<#j@z&p4P>f3#=5+*@!Q2&;KjNqp3FK`=l
zyih+(2JLgLpa!U~@<0Yi4yw%uw0~<ZPY9Zeb*#+?nv-?@(hjtL%mB>~>R*lLV6aek
zCMXSRkB&{6OEq`x1ntY(51+wDP+x~bG^oZX_yyV?Z{Z<afn%@*7Qh(LbNvQT5>&6&
z`;GeV!zs{pTFot^pgS}N)vOwHjWHKw0oAVOk@~8ib$ekb1M1rr&;v%pJkWAag6a)|
z-;jp7HO^{+`gkx*1NF@=I0>rZ9%!FdU8-GklD?`>HHII6_JK377uLdT7ztfK^=i9j
z1wYXK^b)SXL0Aj3U?lW}R-k>cGN|t2pxRWwz7~VhPzltps#W{#5SRkXU>BT&2k;ei
zOiD@J`Joat2lcV~WDaOwR?X_K3!ro1e?VhaeW~dC+n{Z777l^-hh?DcHWWHReF%gc
zkQm~q`x9u}pMjmQ9Hzl=P|a<j38<cGpxP?@LEq~({jMo!9QT3|pk-)TTBeq*b$kTP
z8wsd83j~1rxHa^Jzd<!?&e;YB-~^ll&EN6|eXrZ}JKab3)nn$uIOq==H+4b%n-h|O
zwsi<RgR5{9w!jjY3hL*+&>31oGiV6)|Df+xXG`b++CJ*r@t}QU4eWula0lK&1b9<-
zIw$}YpdoYswR0@Yge9;JRLdSvUFt{8<NCTEG!8byYFG&B+fmR5+Cn`j3wc4ueJh0j
zu|w_AxZ4NoLC4K0FbW2OYEj+oL4B?{SYK6VSLg$(^>3H~+Gd)Y55RfQ^4~xxxIo)G
zI}``a)lHxy^aHhd3aGy{kExywpxU<ldDYLlUBB1;bbmcgkJoavJS|saC<mkf3ut?5
zoIL~snoBhX)i<hnI*bF2Q5|FYfokjh=e0ktnu|3S#)E2I1ey!9oMRyH0Nz6wxIy)5
z9?`s|K2~3}f^IMnMuUzk>g##12-N4QPha)3ZrAU1KiyxC)8n-qEw3UJg=~-<RBt48
ze}<=U12pzDcWndJyclMK#`gqJ|Bd;>SYB15j$<=n0jz+HpmD5icNy-&E70*E7Brqy
zg8EnWmWSHV4BA5v7y!dT<9h;3hN*v0Urq$=?;~Ll^aAy33($V6S~YfZL0U)vPU_b7
z)|{n!Z^1=SpQyb$maGPiO&wcif%;puE1Hv3r}kC#scKyhJKzwU0nH2Q+qdu?G)Jml
zjW6|YK?sCu&;VM3=2o>|H4g>VGzL_kqHUo5905Z>W4JqLTQvvOTM0@)UdRYZLHn<^
zx7wk(<PoTk&x7VJ)w~5XHZ|9(rum@y=KMk5t6#NER)Xr)*w8$n{?+!=c6<UK;3wEX
zHEWDzhWt<xDuddpe%5@`1$u+(R$c0E)vl=4VK5jp&*|J$+eu@&5!8Tkpz*9e*8G?V
zv@b<LFuVcn$Ex`PsJ;6^{iV4_b*rXju=Ef5Uj3@EuW`H`RIA2_w%awh4=>>hgn=D=
zs9W`B0`)<0C=Y6<`dR&?nmdEWx9aW->Pto6YYb?A)i`bqO+ovu#){@;)tVdBznU+!
zjpM2N7pN`T$29g-?<F_|hhZ<MX7#mdQXj7S!v<b8?p3G8gU0bm(DqWT_ux6GZ#9mh
z!3F-*of6c)I-geCG_KXhwV)xWX4Ro_s=iZycm0FD*KPWp?xXwaF?y_)p=D{ATDI1a
z3bYTae`DYWXg^jzsOFoXdG#!)pH+wYZ8vD%RsH{=pLM%_ulwo#dYm4w<!E_Yu9mO$
zsOI0`Oa0pJ=^+OcfB?`qtO~V3ecc2!4{5Bn0rk70?{%Agr~A~0nxJ~ifX0mWmF$oX
zl7bI7sas=OZP8r)8Xkj=nb+YmoCEc@YSF%Z<o`fF>vsKK_tX8=xBr0lj~DPBw9jZf
z$APx9A9br<wMEAajcd)<B|$Z--PJ*LYn-Zf^`WBgb(?;teV__d0QIZtEC?FQSs*QF
zJsMLM(Eg-)HJ1c|+NS<c%^HulL3LjN)uK5_<5l~oqVIK^ey98BzIu!vt7T|eTBeq*
zZ5j#j-~rXF?VbiS?s9_qL}O8PtDjVdYS(_L+SG>{xBsD^wOuqOG%sr&P~93Ug+bd<
zeXRXB6(k1rv-T@(`)~*W_4QkL4v*kJ?b^Suf&q<L)%hR#Sv9MFHI~)K_u&cr|8+;O
zO>?#S+L!v1fX@5WF11hXEClMWQlL3VwW}uer|Q!-Q1rcS`%ka7leSkeP+#W(jiC&n
znzb%%YxTE-`n6AM?ER<v9q-lNr=T&a+Et5=HL6S7;6L=U`d9mdYSp%S2HH<Pz<+*L
zz1qIom%XT0^NGft`dT%seHxSMZ}pSvRt=>=^{9T0dqv;tHvO&ys7`IGe2@#Wf@;<F
z)H)J^`dDL3^~QqQqcN`iPIHZF)*P<3Yn-ZX)uY;V4yEXO-KO8EPc=657(G_Y_zD`+
z8bjKq+LzS7-qfvnHMX_=(}VWC9H71_0IFGaXq>7h)&3v)S=&SVf$G#Y(&O}aE$9DL
z>o;uCu}b}-v8}eN2KBS*QQiNcpS3MCKdCQO<44frwH$4`|C`Qq*p>;@x7wH0X0=^o
zQuS&+Q%(P&pH-i>hx$_Y*W>hf%?H|U>eJ+q2(;g53~P?o*wS3`3v{ehUuYlxPpfLs
zm{z^2OEv$;e>$~2-oXE<RpUc_s{JDhv>uHi^{d9Q_9L}L<4k?4nl+x)FWQgQevNDG
z&#FoFt3GXm|Ip96{Xfkb!|L1rbgO?gPp1TpA&qC%ZUq;1Xq^3j?7ekV74P>wZeVu@
zieh3bib-u00}D_=3`9W?K?y~Wl7<^IH|TBwMMYFZ3@j7_>t%O$cl+D(jkP|1{(k@e
z-fKPUUgpj`bM`s=>~o%H#`o(B$N$AI*(=3J%00;kQrslXm2gRMmoQ5H_@6^MCjBOz
zBl%3?vlMH|kCHA(@&13~1Ib1yr=?g)evslO<)ef}@`r>=^2z@k(lO~b=^V*#5@#gL
zk}surx8;y<OMY&`p~E3zmtr8rUaB7weknc@Ctq_&K9KB|;wNE{d?DeH{P91BbWHk9
zI!E%E#2pE%#3M-~K5<AfmwYT~m!u(5+$H}v<&f%!6nhD`WUCY>3A<#!gkQoU`QU#J
z>6rA}|HUZzOXAM|7o3u9QamKAlD!gM$#x0z{~XdW>9_xjN%D`x6A72(GpPni*d#wn
zT$1ofzLhjf!YKJ$;+uq1ih-1S5?0Ax39n@P{~XdW={M;d>0Id==~`(HX)b9_X>REr
z(!Hd6O81s*kZh4`l5CS~lrT#6N;v=Lkd8^eN#{s0m(G{;R=QS-l{AmU329C#SEc!-
z*h%-2I3wLx(hbQ5DVCBw5~n2Fq<og_lwvE{EOAb<U#giB7Ae;M|DgZ=&;Rs{sweJp
zUp1*w&GAVOHncUKb=K0j@v;cxAp?qyZ??K>e6L><ll)_YOe$jLn>5@PWzsUd(By2t
zb0(`S>zOKJdYKNenrbRrvcYuVuN2e3mj_K}mA*24IH<i@&#^{kZ{wWIq8cj9YX59C
z%S*Uy_G4^A^LB^y&2<_~GdG#L-dv?jG+!G~VV=70j`{rNjWMUQKDLcC$52~mB(;l%
z!-rIK*s=p5jy34>_XaGNzlOuQU${1^p+#%A#ulqxn^@fUYi#kUo{q)+P4z7Nj(x|I
zKkqPN@G~6H-bLM#tEiWF4hJWkM7qUcd@tCC^>(|^e$F<;L={2zb1v4UWMIPDWZd)B
zVr78<!}>COiH(AKTp0B90x(wB8=qWOq5V%Mgxzq!vIg_eeElqRA3hapX{%AtM0{;+
zgq+tSkkV-gPAUdqr%fNkt=5C(&F-iv?1E>PI%3DF_E_cB7U$l#hT->CDAcw>=ku-L
zbEq{+*0sgXh8<uR-5D?2>SA|wZ*<-|5VKy5z@fwmsH>U+U1u9CQ!c}k{$7Y}9EM(v
zWbkp*BJF27EW-;iw_-cKTknNk^J;kH*Wl&L(<nM}4)=Oo#O+3xV3d3j=HJhw*1irO
zpPqv5l^Xn-bp-v_9YFHRy=Y@xj`K~oLAX(b<&}9zF3rS>{V8yL9*@3bRhYb4jvEtV
zApa1KMd?8}ld%q~pLw8tkPB4yOHm$d2d9^FQIInO2eKz)&~p<U3>=Rw3r8a{ayW|r
z3_{_l{`mJ&AD>q0A>T|FMxkBt*`PDlPw$AmPupWooA%grz8xILw#WVX9dOsA6aF^p
zioj#Ks1$mmFn9nC77as1zp<!lWDW!SnRwJ=Ax!4FqT-q#K2D89V0R@9O%gFbC=0qN
zMX0bYgT|>6i80kUAg@8k$)_<rxeje2&cmeb1=K7(4|`1=Vy>OWOvjV(vpEK<>xVF}
zV--5<@4?!RWw7|S1&(hEG38YbUj0tTB7<ZM@X_MG8v=T`$S{ap-TxpALg_~6-SvU@
z!qwQU>x}CImtbJX0$k9Y3uB!bXftjyChajntFZB~NF9yN4M$+<;lW6}JOB-+^u_58
zz0ty|CmO!(j-gGvVOd@md^*_~H_3~tm!0vgaaZhk-3@6wdZ5mwH)i(fkA;5+Bf7OA
z99<`3cc&=`7%&%O(iUT+n>!-?0$?yF3Rli6aXC2=IqS2qb!ZU`!*^hm;a-excnFIR
zAHxlcTC`t(2Dj(bVawe*+%c}hUF8`Z`&J9n;u_eUJc1E{2XW<oB_4Fzjf&wr(9L)Y
zo>>**x=RiQYSLkFB?(nyv?wVT@X=a^pKYVD?^77cKW#+%G+$hJv>NAXozdvq61-b$
zhkm21vD(xMr;?{2-P8;@V<w_?un~&7jKcZm!;tSV2<@8<z<0gAFwX0ZH)(osYTpyH
zJM_Tw5?y?Gq>Bp|dcY-I4{e+3V`V@;9C>Ph?QX;IkNKGS))+rJPDM|JHC%0%;LCD%
zv?}n&nT?U?CMdAwSv)+JWZ*<a0U91G#h%f-@!>%g&Lkd2h(Qhf!)x&*`81aJp24+#
zXAo9*3U|~e(LU)osu~_a%AW%;%CCe~o835OzXScnEf{#X5O&{lP+^*ZIjPA=ZyAsG
z=^_r!kmGEZ7_4p*fi9ziQJ1+Mt*zJKn3XGzh|6%lhXXo(wMD4zY=n!`aK+jJsV*jP
zJ3Ah$6=Sfja3tFH8uq_(NIPvHM(OlNTjRd?^<5twr|RSB2z{(Mu8%ey`XX{@f28*@
z!0RSMG40(*e0ez*<t<FHXxUVly_<{ChZe#5ge$VYu7gL{a2(2y!^%)K{g{HF&>Xx+
zF{UN%z!8fI%<gso&hPn8Rkt38X5vZ2XVzlj{aPI9R*Pw?PSD54kbL1V%0?c<;^F(y
z_Q`Ji@F+u<t6NcIScDQG58m%H(SJoM%%3OVaf}+Hp@ghk9JaTM!r#GRXj2yeOSuo4
zsa7NZwln6fUkVR<d#s4H!Rtn|(CW%m4EqKQ^)kUm^9ktZWrSb<Mj_+-aHy9Jg^TfE
zR3{r?L(o8EeH?(qW&`oBZXhb=3_@=D5Ui^i4%0h^xcg}w26i*Wl|_~qbBuoGJ=%6&
z0gKOT5OO;ZgY2RZpQ^yMuJM?&Ee&pi^EiJA9&|5*<IoDMb>ENnWz}$caTE`m*C4&~
z37qbB0^0`HVAslHNP2k~hi)9i1luYs@UFn!S>?F%dmAb>C5Y)(i16$jgb&St=gDMb
z`o&}HBo$WcDp1~)|BsYoB9Z+l6qj=Ru{qxx@7}m$Ww<jAE?bJ@a(npc*rLt(Ss46g
z8qO}Cj7=lW;IecQX1*DRQ%}ZV&TK<W7%~!XV~69h=P>MgJQSUO4aK7a!|-Js|I49)
zqcACP4B91;Pf8PfjGm14q7}B4+M@XJVoWl0#bB8an*0}nD;uKGWq}fQuJMS8Nkf7%
z7yV`x<9qUUoSd>7#zXgE?}&p~J@GKYERJHxjAKY~IEHqyN0CY&c;_6#>6-ocy`d7L
z&+W#xhh<n>TMDR)@nc#6YJX;<aA!KUtxHDO)OaX|t1xGT0?L`O2#$`#e+M^FLjut9
zwGU={dLZ3sCG@S9LBG@iEga_~am8GmJ79%z-cxZo%mR}?nd0KvNf0|sfaAHbXw}FF
zOAe1lljfsw=CvUl){ln8wlSzJ7>le`6A;tb1hooalg>0$1kQ%_m-(pPuoMZuT=6-;
z2i<Q4qh3T5#y^qcey|232c_U>O%{F*F2wH<ThV%383u&z!LsOm_*QxVs^^EGFrsFp
z9meVYhf(|L5VCX*!dPB~l%&0Iu-J|7`DL&?Paj+<#<=4J_*s;Lk@5@_`=(%vTLR42
zs^KqJLR%e&3DnKZ&~Oax7K}iDKQz$w!urPU@G*8qe)Uq^(JsW$ee>|qXfD3BoQVjF
zX;^h@GWy;z$HUpCNEu^{=BX2LJ#qpz{T&Y*`o*<w0s_WQLYb2Z7TB6&MYk#ZukTJr
zvh5r!x-uVivzFl0UKjLlvlgqS1Ykx^IJ7>oI2R`1%&vIcd6kNbjdQT*ej#4W+ln)$
zWw4LfjpvOjv9z)ZAJqpiPjwLQs}7=4{~)}s?#HvY`!G9VFZLJhMjyYOQ2*VA^9#0M
zihMKbmE_^Wfh_bspN8*GlMvTD9!E`8D2r8~@Odm;T%us{Ck&CRgRroNAEtHi!dhE*
z+@U^H?s3G-`wr;mv;h4l*dW7eHs&?8LVnX}h}tj(X$vi2R$&fVvKg!znW0fLGu$dQ
z!>V8AQ2eui-f>GP=FPy2y|ZEX%@$Q%9q^~86ZYz?!oV7D)~-ObpAmsEdtzblAfUKs
zJOZDlKsPZ9Et?e}UcUs<)!Wef<WB5kf6%6SFY{_2nif`}*M};simpPe&pwQ)-HYRy
zd+@CBF64G8L;S;1r~^vi_Ph{}O!M$0CJXVW(x7b3USdf+viGVmufGycimAtz(eV8f
zj*`tG7^d~dh$B8Q9_NXR-(0b-@d})BU5Z_-8ID62U}2gKay{mts&FQD&Y6MXYo=jC
z)2Uc(V2Ow;Q*fZGC4zrh!X<VZ+Mk$#GlyrPb(l4pw^)GBu8Uxq<b)f^ZfNA{g`6+`
z(58jqM|3nkmC8~0ONG)!iP*Ly4aRq~(dtwIR?aIy@rrG@d#?<CDtF=5gFVQbzZXZ^
zRbpAMO8CU>g<^39@=A8&PE<L4z5@$~Y{UMpTaa~iGbZ}xqwTkBH1NuR|HBl-E=<JW
zYZ|yZiwLN%z>nRrs2?5$^Ht#(dovipef_bb%m;N*o=7Qh!`2SYXm`~S?cOhfiK{)L
zOy<KZ$OfkU=i&lp<M_3iSpC)tGQkQn4_cv5%uJ-cpT&N8E=teXz-{IN=*t~&T;Yg9
z8y6hEu^Rt+`eJ5>Km^YZN2|xt$SRRzWV{Lo6$z*aN=40#EL^#j2aB#n82W4rszz_e
zgg0e)-((jwA-geo_8u4q?LoV?dvL7FZdB!z<4{!@+Hcs7@`qb-x=jh}T5QI<2YEP<
zm5qRz8HjtIg5HUVSZSt3!e<c!_bKpQ9fu{GqA@u(0tt51!CM<KK5spuwtJyc#{&&Z
zT(Kj21q|Of!Xjxg9%L_sXB#`@zMO}`akkL;V~wq_#*LQNXzFT>y7@LJxNnQyZ5JT;
zl|8&REJom-WeD8jf~@(gabSlxN_P1pe%>Zj9g4)QmT`!UR$@^X4Z^l3VxmzRQWLV^
zwI>gY!#CscqY^}%DMirW9SHwchM&XA@v*KP2X2+aW?4C+op)l$mmM(cvmFC}Y(<B-
z5-4wPhJM2WOlp#g=ASa5V9qBMB;!Xw0+MVs2p=m#e~<!J!{e}cMl|M!MBu;FO&H@B
zh!Bk*Mtt(d-Yic<rL02tCobqGTaGB1BbL5ej2^ok5c0wvGL0Ry<<x_D3-E2@0vsP^
zhXH=}SYqdZhSwJ3=r2dyJ-Gt4#%@S(@Wk5gzGxf}faY$SaLpqU+ZM&ba-9MJn^pM!
zFdh}1*b5ELKtanK=oIJU?2FCtK2ic-{Zf4Sw+-Fd@3rk;hWqSw>WwPHzTh43bJ&g+
z|COTc*DcigV(58n#@Z|S7}PBnR_0kaIxiiOi&G$TOvL9ETJ&72!tN*~u56K^@8cNU
z9UX-)8Q~Z+B@_jUjcC%z4?0i0VN`DoCV04`X0R*DCp)9@ekc4%bVSRWOK@Ac7}Iwz
z!fd-m_!zJVBl;{xwLSZ5Jx4eMJ0WGAGhQ}!!^yE8SX18{t5^6z-!=%_ABG`-{m$W^
zvDkNvwKrb{tvnt(-M9`mNJs7dEX20X!|Jw$*i&AFsV_><W$RW5A4{P)xD9h!ZAbT~
z+i;NU==#>B=<s<9K3SIFy>$^xdlzE!p*&0<n}ZN_CXQW6!+};Q7;Bb@3Eo<CqmRWW
zN}Mp1BUlrQ7LB42s*XUx*f31`9E1y1{<u-I4(+;oW7q*tye@M`-#@N6R_KBUJ62#%
z@8wATvkaeSE`wRSWw>d}@12~meA#lW9PJFh#Fcm*y9$*pJn^HKH?ohcN5fYe5gWe=
zIoBevn0>hOCK()b1Pn=4W8sJd)`Dc5?wyXT#jHsSbMd4}0hTy!hP6#GX5T2m)el>+
zHgzl3U)+kDnOjk%vlS0pZGr94Vw@OKglY2&aoI8--J0jZd`lMUhG#&Nor=7M$yl*G
z0da>k7~Wfj$E@*(8_40Uh=r9wG?v_sK+u*jWDgF(G1HBhn&gKMM!tyX<An+*Pb~Q2
zj<HYN03%nddFg_^&0NqW#TlMy&T#7Ff~l=m;$5^W)<>+uPwInv>$T9!@<G~8KMa}@
z2<@Cr)YS+)nj4KgmpFV%R-oXnh*3keXu2*D&k9m7cUL-^s<|#4mW#n*`IsJ3h<ZJX
zP~%XHoRK9Mlv{!&+e$Fsp#-nD6k}0I5o(ug#{0SgoM@DfVXbm;<aHKylx84xei{_7
zlJUtu5yk(scps~VvXh7tr3!@E$Y9YV7E>=qK~^4tE8D`5qzJ+N9~<Gibpu`%tV5qy
z-l&LJ3mb1wWLK`nbSHPb^;iYH`)-(g#0~Net59=u6{dGzjlGvWaJj`=;IKDLKdggG
zhCdb`<i5m!Ftp5zK&}=2%XP-iMhet45)t28gT5UTaIG0*{V)|1wHf%^A{*bP<RWx*
zKK7q4z_SjU;rn|tn#2`h!`>o92t`P5T?Cc+X6`8!;?Jdg+_uQW+3+0fOwPg(Wd{6Q
z(=dNn3R*r(#M0Dw$YyBZ@LR-y3MHNf$}xUU9M+DGLE5k=q?tvaw`UmqJwkBYBoHs>
z`9od49y1($k-V6F|Ms=myJQWF-954Gx(6EV@W8Kk9(X|gi#@akZEU=7*xm=1F0I3u
zBO74TI}n#&g`l!^IPC2r;c_w>vlho;R&xcy&j@IqsD=@Hi=&;AFuEcI{SDKxJ2VqF
zHQA_Jk&Eds^Khz90roU4#IiK@x7WB%IaUY{r$PkpDnP)|eB6xBgE%}F6{*?qznzKm
zf6}=gNkh%oWbC<_h%<ZQp)at0uT<fQg#eLS{;!7&V((bY8yAfcE|Iud5{}2s!w}se
z1O+yMsJ!ftak+ljxPKiE4fKV<OK<FH?2R$uUKqF33%@hHU^mqp%7s1{d({{153k3y
zPX1_obt88D3C6G~VYo6b0_6*$kdqPvpPzB~Nd5l(TYy%nMvHFouue%t&w44anVJUk
z<r&bKo`usNv(agBE?x!Y;k!*f5^m+=P}c(dYF>b0d-AbNHy?3~@0^jjIQKFe&H-5n
zx|ac;0qO9Xmx?8x$vCwk5%2utQL<hGKOYr>d<AHN6tGasaCKKK7Qcu_DYZNxF#<E%
zg`*Q|tL~9t==uc0*)0G)i#K5QI6s{4x*oHw*J11fU+g&N%eDVHd_1)dCvQ=&Y&YQY
z&;YFT2*jQiAsE*v3`=*0qeE;Y%p#)kATt&nF3ZqbPYLt&B37MK<8a@2jPgi?Iz1Wp
zx27U3J{=#dGSU7_7VKK*U`^Xx_@B!~(`k9o56nY1_dNJ_X8fabv37qBTn}WUmzV{s
zv6(2VN=HZiG<5b#L7y#2Sbi-5JAY}Bud6`-*R2DV30N#A#}3PILMIM=7sbHoSQK<8
zN8-Y*a9me~;n~qps0)K}`b;2VCTv8^M}I8*xdC(LZ-8&Z4G3ty0VN(AaL&LV9VQ3h
zWz|N!R0Uz%;Sen7ABGl*;kZ9E5}RH`;q-|ZT<6;8=Q%l!zfq!3ClxlDXmHvw9#6az
zk>Qbydec&o@hc76BQoG{H4_&<Fm@NS@!K~C=2wWH`!bjA<luO04uXDU<LTIJL{7<q
z;lNC^eVh)vF!s3hQ}KXvO{z&m^Y#h2V5h~oWHsvF5Yb;xz~0sDPmjp(bwC{AGGef_
ze>8p_i^Pe*2-Keyj!P55pj3t;<7qIWqJvQ78Hj-Fjo8_HBN}}Qz|O845gNY{B`$$D
zrwl?ZW1Dh66nRl$Sau{F%lk#*(UvHzvx&j$4si&4BSY481<cM1ICNTtF2^-!xH}&G
z;}bDyQ8KI>q~di{8m8SQKO1IZ_18?yE@uplvQZkEjSFHn+PP(8OS5dGZp=bJRVEf+
z$iVjMbhH(S*CZ8hFDK*t!X&N{6VP^CJU*xL9zRw1yhy~<!{pa61-=x>Fnw?w-c`pS
zU{y3`4v50`UlBO@G91}o!q7)A4CZG;k(3nz_ljU7bq+?!ksw^!7lh08f?0Qh@nBO3
zHdltCrgs>ETZY3(F9HMSN8;z!C{*`}!7KLtc8;tO-4$?tq{RDO+&7C>bG@oX?+yu&
z9ZBSVZ!+sn3ha8PAz(&2Of56u+m^8|&P2ObS-5MQg$v`!_Xb(WNzX)BlT6H=k%2QV
z>G-`g4P7RrV%5)N7;jF(CG$kgJ{OOzod4iOH3rUAVbM8(Yhoqd-j%~*gA6lt<Dk6|
zgP4?Pxcf!H$vqO@8zQhND;x_Rg&}<^_cz&BJi8r=IUb>Cf>4}Y7K(?p{2sCiBTd6F
zn&&+)4Tou31j<SxG4Vze<_(C!3n3OxEoDf|l;f$f5@t^X4ArRcVWI}bx3yU2odC1<
ziP&M6jDV~Zyf~VQFV$(V(xzkOxC~@$%YfeJ418#wi6<X35XQe>8E4>nemYh?Nkh9v
zY252bMb4XK%s7;UHNlB^HH3b=pvAj28e}(7<71A9&L#rd-cz7bCP%fI3_BXe;nlSm
z>^T&TAyrYBeU>r$8i5a!*q5_E)zjtPL}eHZ{lYMAUKl!Xxbk~^RTwJzgd=lXII0&#
zz;I9`3cEzXzF#!j&5l7IRV<c0i^Bk0IhLPMAYqPxmsdqhU#5oZLk(UoibwRZ1a$0@
zghSTJ=;WD#;VV;daC{p3<1_@XOh@7VbWD7j4)v3C6j7se-O|zKO&Yq-O~WvCDmLv(
z!Nvp0$lIO-m5_+bOA_$2S3K6=)F54@#%2o@wtN+kxLt{nYZT~Z#66y-GMs-I%l(rW
ze0~s(3BRIHJ2(mszL5z3F9H>FBQX7WI94#`I_tvm&ovw$0>fdlBOFb1A~1Mk1V*)v
zWG@(rl?hR}OMR|Y#Nb#d*RhY{Fms3;^&=E8Ag6t;MA+<7p;<Q#YBy+c=wv)5Hc7;>
zkx4KzPsa68Dez}b`|e0Z?btNvC#T^8*GqNx(@=Ig4f$dkY=@`eCiQ)9vs9E>rQo<v
zGP*@1;azAV1djwvoXI+%uSNQMHDV8_@H|$8c7cHL21=}Mpg_t~8QNTn!>=o`aDNg5
z%O){cY{F-4GV1K>NOUE~75^eIWoHB?ZHj>L>ImHTjesIG0xowWxVntQ>m!kfSr&yZ
z-J)UshU?XvF=%i%7Jt9QVPP*huG%T^GDV344+M-Gra}*YHQMjj;NWL1uJuZQ<@iL5
zoS1}eeVEU$lcArIf&%?i=)|RB`Dx;Ro{A9mXx95uVYD_CkLZ)N8&fcWTJ@+?GR7kb
zeH{{!>%{drdE;!QMW&$!(>kj$^1Fx@w*;=&l(@c4ft)-!8s^E+Ydibj+E_S#jzMq3
z7~G1CM%!0W&~xWr)4xb^B9d#uNGw_siGdvF{UZ^)BN9CtMq!~Z_lAE*;ZaUBS~<ob
z+%Oi4dT_nkO@@yH<d|rofX*r<?j{J(s}b@3vkLCLHAtSUMH21H=Ne%2f<)*TCSl~4
zB$#9*!=Qf()`%%+eJur=zbUBKh_&Zs3Wn`W!BmG7JbTQzGWYxMNJ7*{a=A|;PFW;i
zz=C*`Ez!bYi3XGH)F_^<!m}wN0!;-RrjGoD0!yvsc<#;~jQa__PQ+qv%UG1V#NgnC
zXdJhR#?R+bSd$zD9mgnyn(+JBD2$pBg|F1OvI9}*&@&ndNzqttz#4avxvP%Fj}>va
zH%*2pV>#xSDzMB-iL9lpOYA>pDY;jYqsFG~8Z;@_;z?0Ft|}97b!j4oc1=Raz9d{W
zOUBlcWPJRRj5hsJaBp-9w$lej)MKGM83UQ~)t8fCZIOhg>4`9YkbtFK67bF}9-&L=
zM_&!9!_`<XsL&@xL?1q@t=y$Vn^Ou*cq+&6R&t!Cex2JyJI}=;a(FEI<itRye++D?
zWo_0(L)S1G!&^t=a{XwmX%&tBqoVP}Ga4C(Iflew{I(c)P2qn0yI9O8UkXEHxV~79
zgsBQlo}@&#aRPM5i5NCs#qVn5jnqKRT&r%(oVyc`?s*CLWSfZaH;H)Um4vkGNe~7k
zqqRdau6ZS+IeUvCGn3J!9s3n(^0IkJczKC=Ynq6~DG7+--h&<Ws<(|6rhytX%T(jP
z{aiO*7qO1IRoGd8l6L63DKI@<j#D>enBPx^kl;8RcoYlI#j&X6Uc%e37+f34y#5l6
z!RMn<NBlX*qjB+mG?sRVL5n4P7F894^TT3c%YDu>bK`LNR~%06mC?s?WZEmxY@8Co
zJq1`c6`|q&RNy@oTAxs3S)m51KrQZD#H0FGJT4ORKchs1?MlSGZb@jkDhZ=9lhBee
zPuQP?K7~nGxgiPm)VOh%=^N)nJieEJ@iP<PN1l{^)#C3&EfP0qkg-(_liMn!Hdo=~
zcoB801mt9}-@B?n?=A|=SuV$n3f9anGNi@Cp@6;TV{I%}Gam;M_silKED4W6y|pnI
z<rRaT(J?r_BL-jI#=y!V7K2J+ai~um{%ngw&I}n0KFe@ts~i{CD)4lo5*J$u=*>Dj
z^^l01Bo)Fv)G%W`HmRq@*D5VquHw3)Q3B4Z6L7t0A{u)pV#>ZmTzE&mwn>5)Ygb;=
zBrJZE2-o67T;ks5vo8tI3r|4z-`wNn^@>{dls&a@Uai5bGBuy4lS?C2c)Lc#hf)E*
z-zss<NQrTg3LLyH$H#GUOs9TzrPkzT#-Y)uILx?Ae#XV(_3T*e?jMUGZDUc~Di#iU
zv9KV{aT{ZC_h>A(=*8idA`T(VWN=H8!FZG$o}6<Wd-t*_N*rw@U@X^(Ray}*98_4K
zr-ted*Nll8e7DeI>tiiu1jM60Z8uq)fMWKDW4du&Wu1uEK8aY*nseDN5kAEEaR7VL
zhY4`wp6TJf3D{Q}k7onp@gqsgwSxu^>@{%Orbe^BDpbr=VIp&Q8GZd|jDYoVO6+`~
zK!57!RK{byo*X|iWY95?Ve8>IJa>yjGO_qQiAAr2v1qe77O6SJ&l=n6Of0T*AM59&
zID8i3(Dgm{Fqg|<_&|nRYvkzCSb^Ea^d<Ych=u}ED+N695;1Y03QpvjzM#h3aT?TJ
z*C5SHi<>{RxXtHt{g{hhCd3iL=Q9Tr5Pd%ZbKfVR=rv=1B?0cGjHyoo?)6K+joNtF
za4k~yREr>IEoNS2eK*&jpg@hphHA`Prh;alh+iE<jPVw5iO=H~k5OW3wgO+<DX>qF
zqqc(_Qwn7mJ6Q(dZ5+DuIe^wX4vOhq2aM!ChCv*bG4=|pICNSchu!4x=dW=XJ6DFX
zJu<8wB*)|uIo^)uKJrNgPB|-4#P}ZCDnNg}h^yR_xXyh({b_3KeoXD6zI1G&g>9S`
zXMSt>en~vqSH)v*y#&k}n*i%Y3E1SBfd4qc7E{;8C!mhpe{eJ&Lww?Ku3bD@ZPsGy
z2rXVw_rnHg5YM&JUgC}N<R0IDB34eMcH{|AF|W=CD^dPIfjIVE;s-h2gvwFbS&o<c
zWN>Az`rKazFm|_V<6u-4hm6f}FfENk|0BfsBn~6G%24beL)#J=wl|U^XRRD}AIdRd
zxdM*Q6}YiMiLNaKc;yS|Wh%mfYqqKDs9DX`xR<WRXWExuqJeoIE!L{Exb;qpRn#zp
z81@guoqU(ic|MY_U*a+DMLgtZ`FBn{_OB#fJ_9;^Qj02AEyj?`vKS5b`ZTbKRip5q
z3d;2=gg#^4cMvhRPC)(10-O#gQAtgiTCKp?nF{3IlS3II=leTyL{hi=r^?{HQij*2
z<oN&@8tcmVzLAXkkuqe?k)b?Dh6&WV?SEu&w~-^gOpbY68-)l8JZj2!Tog+DYR?*&
zCE(&v>eYS`{xei4x~xLXV%EvqYCK+`!Lkz?h}`cpiRGH&iWVI^bImh79(kVp43Ec_
z*m&#;jYkVNzUPB@B(>uDvQCR#VOm%W(&EiY4IVGmVAX3iPOew;{RS1h161(&Dq`0<
z5y}q&tb7EF`m97?kP>rg+nIC)zKvDj^i4Si#L02pj5U<|p5HFW5V4i`v@&R8$n#hk
zG7_2NWirHEXRU21hrw()?xe_J{7w$HxeBbPRG`BkC8p#kvAKtUD;WZo_Tt(wPlRWG
z748>u@4Al~jnmY8Z$yKHbsBW}PlJgDTGaQ|B6WwB?<}xJH)J2deIXzHc;xEFV{+4Y
z?0Kd|Fm)Z_)MR7siN4j~EwxW;#Q1VgWtWp0X>V0%wNZt+^;O7?6M?oO+)@Qt^cV1b
zw-UKCl$iEdfhW;ixAHl5$^$tpxu)yvEJyZeIhM4MW5-t+?!S<sJBKH0&dC;X{2ngH
zp{3+;GS9tD%^R%1$8ZITse_5rmB`$qgleFG0ht0?a}V{IAi}D#ig~0$+xL7{>Zpd(
zNi`lCXwWu7gZmd5qb{t=>>V~Uc4qlnIPBBn>`^UJs<n7bKm3c=VzH+diV2MEZ`PkZ
z<i<)3>Tz$hbO(FMnQC-=q(WzZ73-S{k*Olg28$SRfO%ytpxtvNdhnTrg3l>u)G1&X
ztUz1pP1;8}*6o*LpeV;s4>=xijVHI1!*()j*DN`loaFG?B*$3l)2uskjOKd}b5|(v
ze5V3Kn<+8Ejce}HO4yF(`*+y_>|2T06fDB|m59oPDvUp-Lf#-Xj>y&Uc|z?PuYqHv
z2B)|mVn7@Z80%230k%02mxmTctF<U#&v@Qai!Ob&`13`BUey|m-o*ZtS|9XGjc|<`
zoyV#%`6}^JCvsb<@MANvnv0lsQ^1-H0zx_o2&z=V#)-XsEAB}gQNS`p0lB#X4lNZJ
z$5<y;^WB~zIrP%x*pnnj9%FxNyBsE`<&crXEA`lqb3ODZiI}<0zCT=vYWncsJtgwY
z1f)<OYnq5?uvSFB%Od`;w{%KZVIcQl#?4nFvRI8aU)A_FNy9ae1~uC>aA&Q0@m+(@
zt+iOvU5gI7S`2Te#Y6fc;;sgv6&fs$*5KSserHY?A0<!L@mWW2HPp3?>lzh?w^c#C
zQ$&%i2(Qlq?k2M?axY-@GsZSiiFxFpRedEM99CdIpUbZ%2G3y%3~8mHKjqMWF2|8a
z)Ny`hf1{SS;lA%k1^O=L`P3-OTCRDUE3u1pw@)tlOnsO%OF+XSz8}_5#Lwj-njIF=
zyr&8;$+z_LDs=6uhPw~f>HF09^;3;4V>D>(szIj6{Q=@GI;KJXc@55z>myHV@S{=#
zuPhBdv6j`FtHD5Bo_}ABHCbvjw^yT*+P|Pmh2yR&yeHmctigj<h-lqH#DYD<yj(zd
zI{__gl$ac%#BJ*JroRfDr0vFO3fOT^IdDGr{7e*RM{F;cqw&KPXfa6vBWuQTjRHsG
z6$m0P62B@CWyqSlUWu91{w+-fyj>{3h&`RAzKE6!MQqtFVy%t}i^=JYCCss}DkPYx
zaWz7X8`WyO`NH==`f2dhN`nUO8q5wQX1NBxxxa23r{TM6>?u}gU^tnaCsxBZYV6;u
zhJLUb-6pBw{6&RRTUF@Ee#3}(UssFJWv`R2N8REc;@xlolemWI_MSPnO$h@pCGy8|
zFGPnN=RV_xU5sI(0u#d&SnjJpx~Bp^*&7FMRG_(10sqYkgwr<{SjT_pbA7N-iIWLR
z7+qDOJ+(P~rGR>T|Ie+Sh<9^ElxOqV&s!0e#wu9FGQZBLu&F)s&PI)<%;mBJYJ@%~
zw_9qkZ;%EXO_`tM>`caTIzPLbQI7{}(5a0EuV1P0^oW|zde!h?eH%$G$J}S0WU6q<
zj_(k)R$;|)5jQr92p%D#-BSS$tc~sX4#yj=o06}y$IMdVyt@(`8E1obN=$#N!01aH
z2Nl?~Ljltg1tPX6Fq3|W=5x`ex2WeoxHjNEyN2uCe(Yhoam{&?J^In%>@&FcZ^(Yq
zh<F#y5OIoqbonh2rhQe&T%|%o#$x*muFuKqMh<GMjZ-6Yry6>f)kt`!Mnyvn7PQsC
zzLN%3?b$yyC4axEvHGqWzYnSZ*YioQHSAA~x$bJLhUr-ql0@zU&rxAR3l-L!6#2Z2
z`yK3e`u!BJXD@ZjU%;0M0$%@9;`u2h{J0O(!BdGbmP(lPQzD9bJNJtM|2-pzS!?1r
z>exShCV#KDP{MMc5+9lSvEE9gWhzm|UKNcwx48iKPyuC!*uN5Q2ktrS<lfTr(;~jK
zWbSewB2lhF)o~T>P`g$PB{vrm%O*7%=BP2ON{#$FHQ(t_<Lo`+A;!N~)HugAWfS`3
zQ-T_AeaT_gpgKJ@cD|t|S5o`KsLz%vJZhrCj8h^$%h*$LAMG@Acq;d6OSJ4S8DpWZ
zfRP{A6CG8;HI=!{JUqbn*cKWq@xefe{kn`>M<teX*mhSUdw>#yCh&QzjS_u{wLW?L
zlX;u<QVDNz`H2nj$^|T`5zw`Ph__}UhKGvidw@ChLxjs1zOO?awO~)3a7BfE?0bg|
zQzMAnHt|-YmrRZO>^p6!-*(&8c)pE$U`5<><um7fF|4(WYumYM*bY(SP6IUtvko0(
zFVokTTE%B92OE;x^lhDrJ>>${eq9lZ9twOfocpz`O_$kYKIzE*{slQr%pvTL^dpsM
z>Y?O%ObKBowQPzK4wIGW&3M*QhmE)<Fy6?VC)VEVFBaca;$1^({wM*nR|sg6L{6U-
z@R<5sZ7ibI1`&gHP_x+EPSoQX)mDX%Q7Y`=9%lJn@~@E^8wXOerl`?%iJI>;sNoRE
zybj~v+^b0mQp1YAuwSOe&*^Fe(mx|w(MQi!sH<j<#H--xqQVhF6$bs|+K71l5?K2k
zMLaeTVZ^%h_ppGIDgo`O)r*Yy$+blOb0s`#Sw~CBan>q**3%S!CA=8NeQT9`CZ|Lx
zd(qKyC0>%l8GIJo<TB&`g}>_xFt!x%jy>ywTmdgGanG(XdkwBt`gn<`$!A}CO@ux7
zAbK$lo7}l4pTPG*4lp(kRA^bB7<=$}n<0Bn;{MAR3fzY)V!g4R$NZk5M)^cFjt)?x
zRckdKuvbfAZA;vu!qf;AdfTgzJxGNqKSd;v&z-prwsjS8ehhO;M?~&r0pB*0(?J4m
z*>W#p7&V6Lnjf!;<q~W2LFO-U8!+CVncF9m*cX%Ua@N?T+m-lJ%{ogxzDbSOwqfsR
zNUZh(&W3Rw)}o>t0=9Bbr;__CmhK`>vd7y+J2rh6QNVsW*II>N0V<egsZjqg_nz*M
z-``X?(~?~7$v7IQQ96P?7{$CE&K&QrMow2X?oyw25bHwncrf#JQ<4h%`FwPS6>B@+
zeHi#fgljF=p=lyMd5SP*J`HWpPwMo;{d{g5FQ9adfNU!P#|H~o+giYL#>@AC5*8P^
zc4v*YIYiyvuf#3-Ao;iwkEl(#?4ve+Vt&&{+3c5frU^)JXYCcK4HW|H?hDvNt=PhS
zI|momVU38%2StQEr+&0oL2n{8mGyEmV{<H*d3TVQna^LS+xvg8_b12Cx8V9w;w?XY
zb*NR}`3#i5oA5k;p5G&ncq3WgmaFi_M1`YWILA8?$4`j3oFPKyE5dHNh;6LH^}Y(&
zPu-ecBA{6e*D|b`skFHj<NSyHW>EtHCdBiceOS$XC7#_;VgWI>c%sA))*YQcN;G0z
z&-CM7q^W@Iiv)}bBu=i2b~9I=)1NV|Md%T)v6Bc7>gCvSzF&5eT2hZX#TZ9SSD}XW
zX+Vq$^K(>aw3jhIrGm~4^8Aqs2VPRwsK0Tq$lWI@$Zn|+QpX;AzX~HZtKcedKZCJt
zFi(Z{%-!B?R8YMnmso#CWr-N)Pi|Q=mj;RGMNaR#C*U*J5W{HW{t)t!x!it+09W?=
z{q)&mx94;FCbYXAHJA7%|5c(Lb*Y9ioz_)=pMiir#?;|?0=keR*JJ{k(0|sa1<ZdV
zU}rlK|M(u+l_j)+^>9_Oh&gp4+I*lL9k>@Un!T<KW6FIApJ)}T(^M!d<ugw9hS4=D
zn6a+5XO8|N#s>7mB=Y{)F2<4CzFMu~J7p?tbyDHt6xO!^<Va)oS5HKQ9~DubJx<pk
z>ZHAhq|qV{bA8z89rxlH<7s6AUXj<|Hwq}HzS_^>zZYSTJz@mwDdTslr-0z@#KUo2
zkNaQ)_-u+=+|!)<Vyr(Eu6)kUnyX2nHnU%i{!c*0Cjq}YlEaK|`$Zxehlu?5HX<$@
z5%J(5pY=3g+<L3v#h&Z?0u^o%^NlcaS;Kmj&3%dz>R6cyhQznIoO=b^Rd~pl{+G_*
z7}qvjU+#CKkEjEV<5+ifsndT&+`C8a9%c^lUY4OEdM_0*g*Bo@4-sd7Q>*R@h&#&t
z(_(6>N<d$7vWXip+6jnftYf*>IXqs#Txz%phm79`^H?kX)|uz%6Kj3?DV%xhx><lH
zxomZte)}Q7rYrFg?^XJ^Spai5MMU&o5#9Ox(C?E73-Zr!kP3gyxprbN*xQ}Y*ch`9
zjP)KB^ORb&F;xW@jt2bh#A8YP?I?Aw70)f=H7B4#@nG_#9rvEOw~@+xv7=5{6YtG1
z5i?eBe`hl5{{Rt&&A9hK-sv(PF;(PqKKV<`h2*yVTJFb?-=i0@=VT09Gv+z71<c|4
zxeak%b`<ztGxvD|h+8gjPnZ4jF20L)hI;i_K-xcIX06W~PhQ!PPuydfO3kw4+98wm
z@ho|l^pAZeHRkp(6|T~5_j$y&Ld88Xa@e173nfp(=>uxo>`ly7`r?H*xxZ3{S@w+k
zRPG-zC-Pa-_p`5>M6FtNg?l+wB0e&IpE8H`vL=;Vv9BD#-j;kz{>i<Fhpb1m)2M>a
zs)>22mU$h?yd;)q#2v`}`Ufro`g2TUJmEn-UdQ9~OAN6#OcQWoD>+<Ee_WwnzvgEn
z5gmJpD48JQ=zR9=-t2W0)Q!#L8TsaOL&Os1@iE%z)`R<bBbc*htf8}+gAOVf5cdjd
z*<}xEF}Xf#wF*m!vvMh8PQO%3SjpqS0o=psz&Xg}zwBogToAFH9GXkKp;01ZB4RT&
zYdCr4q{n*Ln7(EnN8e<9Izf!gKf6NqBFU^(N&&UREfCima`rv(rvwVP&s;qa&2!0x
z8^n5-xlnH(*C6!SJ?4iY`<c4t#MDQ`t%=mCc_QAh7B-IIy=cex3aO_RvHmf0i#=v=
zOTJUpQw3|rIi7V&W~o9a_Wph5GuDh_+(PCzxtndvdNY$)Ef{ZN-N{_&(4DosDYcJv
zx7`Ewt7oXkyE%6z;~Gs~@p;1o_LcUgB329(VNMMl&OCN`PW!JiW;J}@g>n8yon4$Q
z;9nATOig|Z)NJBk!OxZ&o=bnM=kLw7a4(YQJMy}VjP0XmJm(iVPCcyY&$>XZ&?Vl<
z^s{R?@iB)p$mtQR8HcZn==7TS|FCwnCO;YH9>fqpj%H8dJ67cQA8Kze#_}FNC-d)x
zJU)uQKQ~YzgXjD3I?Z3M@857ggSne{g7si0d7U9bLH`DkSAL5`?3u!SQgZrBckbgg
zp?-hidg+k>ANF0@jB|dKfK2LkF=KZ<kG&$X-DQp*&SDI6xzAa|8oizTuVlU-6Y${z
z-($GP9DXlgLIe7+lZdvgdqpPfv23YVt3)gf;k)fx*5o4M+|PH37~`(@xrh0leJ*p^
zr4`pt-ME+8hc%WOWHnNS)5O-@i0dD&GX{;KmJi``lYZnh_1Lj3bAaoEj*RVC>Ot4b
zB3@DdAJLyi=_0zta^20I!_QHKBXhWNENgII_M41xP(Avcw(2vN4H>5or&xcfwJ(Xs
zmO6A~hX8ZpyTswQlX}jWo;bid%ea=G7jX0z<NAX7{GBzdDQhhKID`AoBh5sJ#5>HD
ze&5LYE09+?<axP>7{++y6_L-A$n%fXPGVlwochCj)FB>!)~k1YsbT$@$HZtsKkOy%
zExHgl<N85|dChznLXPadL;uo$YYvL|v6Wht$~Y45j`i#-m-Cs!ToDuK``jVycWB#7
z=377VI`1v(6ET0gCZGjz+&W3zN6G0!<o7|wo8wNkfKQC+UHU}0NS`qGZ#|(uJ_`8y
zk9E2=eW}NLlRqcT=}+R#cOic_@OT_+V;XatHeFzhr!(KS-(c-{Dx#Q}zx^iuMk;J$
zPQPT0vFk+cc4lqm2<XUXjf`mxePYMBTKyz9-qHR?)cmX5kE~^k_i>c4Z)M(u5-)hq
zpS<^V=2Q#TrNf5g6=Uq&kv26Z?|w2LiTNCB%1YMJ1jgEvT>W*Hb(MOwgkxkK<IQ6_
zS6Q=p&QfBX{*L;_Yg;!FQOLQ5an2CVz1o7DB3>6~>NR~`9L49A2_lXZh<LqA#I&RA
zvCs3^EyjhI3&`zj-+3)#9mV+FqkhLWBUX;x{0<%)!rvlz&LW<BhSz-LwQo7cL(cVS
zH+{I7wLV#dJMqf>$y+y`XHN~8&ODpITprAxq$k&nZK-QIBHtxuuR(4XQNu<t*0{qp
z@(t?Mb=Dq^2!2l|&Z!T`ZR%4eVr@?z+c0k{TCt}gUpxnLE+cB@6!sVNt;-7b@jm1^
zHLJT?#QrQ1wWa)CB|<pC{o0EnX5JRDn0eTd+Ozx<`vYPM{6)?CBVs<sV}5_eW3Hb?
zc)#VE?-@1fF8Onrb^a8&bCB9sCL%VUT9rti6R#?Oc--mN#q{qi5noMNpGS$f)Q`E|
zmFLsmPQ>g;jeYS+!09){!n~|w3>z}$mDIG?{7fg#gRhAB1M4@j&S3thHY0aBu=e#5
zv5|Q)e?0kSNj$`x#T=^jqLze^;|k_6^UIcT*j~<O0f(4x<YM$C?pHHbQy+>jc}@;8
zFPk%lXFt#{AGt@v?@q+I@+EVXe(@#NEb@439oL%2MEqAto!-X1I_g71a;Pqb{@cjo
z9^`@}{bNHP(EkTni{H?`+r6o$ow=4FX7ff|*Ziek6U#f|KFWB1B+nx`{20#~;`F4Z
zJCVa$VtwC)cC_Wax-lN~o%IM2T_!QE)9AnX?A3|4-CC}_gBT<F-JSMqpj~gaa=lhT
zUma#GVT@#qv*UHzODyih9YtKTo{2cbapNiD_?SJ*1NJK9f*Y~glE;Q8d5k_Y+|BDt
zn6p{bUoC4c@qQ=Xur=)AdH)Nv<2E^MZ$kbU(mn&;Q;#*O6a7!k+0#VCBy#lK9|5<C
zt2ucdLi}U-X~_6{&>z?NyGK)EYQtWMzH(%2&vTxiobMRtZ83ws=Y3M0m`9%66As`z
zB~c=D)Xed8o?FQH?GVv)A9MW(?Wtw{5kuBx{zlvv81J+@T;~vf2tQN!cQ}uOzdt?4
zeu?Mz=5==~c`oN^x0&k_&ijt@*G7~3fz)F9c^&mbe<A%nn|`t&uJPo>a9-1&cJ`!w
zwB42Qn%IK-F~mJshq_8^yXx~8KVLPZ<}_v<psrUEYc+kew+C~Bu^lvwHE%3?J9F~Y
ziuGp!wUc<A$t&Lt^ldo(t>pYkv^z&c9AnbEoVr8IFAnqbgoxi~=riJeaEW?GY&KW8
z?%?Od|JWm55K(oOI2c#`qtyES<jF4DPp%xzBOg-9D;3}UC*JME+ufTvy^{A_OpaKy
z22ABW8H>U(#6Fa|K$}N0&P%(J7tF_G;@RJl8c1woI8+>e>4#u)pniMapT7B`%eeF*
z2M4i-q8=QZAmW?_HE0&OX2*VtcpX=ZP_L&(hmv=3><6^W8OGuU_2oKk?Ms`Bh}ou^
zwjCF7hj>a(bDxjc4C<)c{0yQWx}TywHLTT)>xcuKzk;=X2mN2fx|Gd4ryuVL?5CpW
zBjWAq!?l7N_l1{I7v_`4Gs$V%)_Ed1WypDk@ZOB`R&ui~aV+h^c{=i1Vr#`QnZuuc
zC}d1e(kGW0*J^#*GLXJwZ1s)kGh=FlC2gKfjUwK@#2e|(eP~}1<AbRm(IQ5Rya#RD
zlEt2rJbYft{eg1kekD0h9Bzzt7wXVeV$UJIbsX0GZhVw>(<e*z(*|N4u#^1VLLU_{
zzcZMJ3FMHHIUh+oi1#(|zFS2Np$*enm(I^&Z_OAtF{5qNu0@Pb2r(}iz&vBjA{gtt
z#NDeq*Erp%k<#Gz={=Y)^vN!s(~nr~htdv1_RY+V+nmd58htlcL>ccflJ~mEdj|5}
z?P)_q1n((l-O$oUsjQtj?0<^LQDS~d`=yx48EZY_zH*R0ImG<uDCPIt#5tP3?c2jT
zz;i=+&2{=KnRA@wT+*B`IQK8!<2vt^<SSzKYUb_=`qP12v1PAe#d<KA`C`oHA7iOk
z#Jq|2uQFgg?9aR;rfa>~6A<5Lj+6ZE&0{b6F^)WE7|(q)lC_1`j^-TOET~O0_&f6@
za^e5Z-^s*l!dw~>z&f~zoQ@^u8RPOqaw3DhP9A+t%#CS(y)r(3A-^k#$$2m91!F#o
zBbMJk^H>Uh3*tGOd2YXA)-mS9+)VN$nLWCievnbGBd96FtGABldN9_`?D>{(zj6Wd
zk}*zYJUl@jOcIezyL%dvyTe8FV61l%Q<H)Jd!L{&<GzzapT}$m69YMXb0p_AV&5=<
zIn3D3vt&$Wk|Xq`9eo<*#2W9$dwDVMH?Xe_Vces5KLs^X!~TbM&Z50jh`Erla^6DC
z+s12{m+Kir`*LF7xW(_Ah|_&LIlh(i5o;Incuh8Wp2mG5ayg7X>=MUwsEab<l@o86
zC$C#cjE>}zJ<qqHw$MI-c1|`Y?}*ua9Q*6h^dYg>5qBkHcwq?d!(qVhuEc3Kf<4?Q
z`iofG5o@RkdCb^eq3?2;yT|5H+ZXYZc!P=8Vl6e!kGd2@-KYPT(XQFF?{+*jIfZ^E
z=6$)0Z6W(yVsRzz-^BHhaqL3;>HPHK-^nG^yCV9Rah;jNzK#5tPoE9alJ`pX6fyh^
z<8Q=!i+Go<A=g}qop#KpJqxK@MRTZ)<e>8u<~U>YjhI#Ac`dQXi2FNnwdOcS{NwmJ
z-H<xX<MYV{3t~M&9-lC0e?*^+W`2Y*cl8#~CeGh-IcpyA2JpT+d4FlG^dC8$7EQfX
zFs^F$Qi;^?RIcTSIf@u26U%Di{=|6SBDUVdFKO^${@t6$pOOpRc-~QBeMw(sFt(3X
z)CoCrjq_gQ{0)h>%X->DKO3y#-pUHD%gE_pcGMjkVw*+1o6f%{v*)Dk9T+e7iOdb+
zK0{m&h&`S|`jq~j&EwKDlg2zxdS~JauX{U<eBnG(IiCmTJ-3+tCEhl~d(M-3;!A%8
z(Do4KTO{$tG3EkmvxXcX=8nWXk{D{UI3MxY5Z44^mvdNhtmfapdAuGu9L)3ldHzpc
z*M_k@!g+c!cSkZ;niB6W`W3``n0U?I$xmm-ft+@9pzj&u+l)!lOlk;ip2#?l2YU)r
z4r6kR@m@e|zb7z${QSW&i^mQ4dn~a!Pv-nniIuU9C0D-KvfeOPGM12|#QT|iG9_M_
z4>f!PV?j<|52ODWi>8dp5RrW;G0&#$6Bw`3H1eBxS`qgrj=99wo5PLY2ap5H(-}8n
zbxz{>@vQ5N?S674B$oIisGXtgk%-rxc&B<X=T<W&E9o;Q@`o|_!C361jeBWpXJWoa
z%sQ4_qghbHh{w*1JTWDwIYx0@=cv!)CG^P|Vs#?c<;;f~#x~NLy#@Vue<AH#O5Uwt
zeI?$L9<<AwHu=%UK-R)g>S!eAri~+L>n>uxPRvOOBAyUOHF5VM?gqr>%3;N^oqs11
zX9NBw#Wj*x3z!eCjO``H_M^n*aB4F7^E-ex5pM<YHsihBXv1y#egkbXcc32@P~&WP
zZ(<%m%wgpAWa98+taXWL0<m8pzK0xZ`Q4YtUh%gpJZCVmKH@dsdF^ugtt0){coA!r
zBYF3K@VfAxk9cnf+OUtdd<$l5Y1@7BZ#{V}#ix{*O^MlqIEE3=CgOIa7S(bb;F!cQ
zmB;SWC#`wT6=I#lYo_zsMw}yvbL}Q?syKHl@3EBklJ-ZB^4>viJkOaqw2U>EG0w0j
zujVt)iFp|9-Z_)LB#wKGbpkO}Fy7NSW^z<><nh=C{#ML$j`G}zyrwCy?Z-KyIaeRf
z`JQ;65bqaPt}A%YiNw2b9eL=_ekq84*~A(YL4HNE<}p4e6!bUkHztl}#65(V8WG!i
zjtv|wImYqWPyV)$=h*Yy-@IlHuU!yBE|D(<obw;&HX>f@^{k7;>&#s8UPTRd;d6g-
zdMIOjh%uHkE~)d#3v2d~v_FUZtWPY*iRl&Ny^+I<qmDz%WBZw}mON(&&voN9pBdZJ
z<cY-P;mqBw^yO^&v>APSg*jBTmc5}bF>N64m|t_ryKKf|FYQ#*UVYl_Li=sW&!@!F
zgP1;WI1`@_hc3qo{yjrQjpsQ!O7e}@tc#`IGPbA4mu%+AbmBcnpH3v+B=7&dCp_Jq
z+O(2>p#N_%4yBAoIqm#RdjpAirVV?7x#Zw%a)g*35ce7m2aZCHxjbga-ztdJ)0+Gy
z)?@SOcg9w#yCdnt74+p^;vGP|g~U6Uc(?jcYy5Z*`oDs9)zZEa+G$ODD~S1W9M6@r
zzaf^H#MGU*MUKrJD>#nw*eU)NsNi~oSYHzBZt}yJK9kdTh4f)kAlKx?t4q8`iFd^s
z<`?f@L7oNEp5?S_4ecwYo!yC9iqRor{!Pqr#NtNW>2qi|M>CEo9M?FidHg4Tk0MqF
zVqH&uoa6P&>AU{)VTa}9H90hcc*A(VL%i=#-hVLdm`ZyrX;&}Wca|KSLSBaxb1*TF
zBIYz=*-hLb#PyLwT1VdD=X{O;9-qzMuMle|p5KAjU8c_*IZq{X_a(XWn;iPOj&b7s
zYIxtRyuY-cl|y@~X;%Ys&x;&vP0UXjqu<25fEd0K%R}Ps!BIqPlKz%)4Cmj!I6BcU
zQa#fr*5<@IoY%*4o;IBC5a(5LeqY|ljrVireI0p!YuYhVvWGEFXN<cr#x9Ia5HZ`)
z_V<j}RAQM&+?|L^&asn2#?g_(mdB^@_b)upiRTNFuXw!$=ef%HEQvRf^Pl5=zVm*%
zYgwZ_$ir3S5;^^soL<Kmw_!}KGd7o*%gtzeFfoiI?m@(}nz*F8dWPdQhduvp$>UA=
z`*faHOCLq?I)7fDL9V<e-sPP4Gx25-uRZa0A>M0V)D2(OcR%uoF*aq41;%72Z7rb9
zPPF|2x!IRk`Z9KRIc$kd+GAb8@t1$k=UB<#jfhoxzTAtkwP0+G$d$jGuYi6WM!Y%1
ztK&mEi1!fj_Hm~lT-le<rlX97j5cnhttqtm6>Z-@%qGM!g?N<2)s^D~G5+IN#P2^i
zZt%D7JZB!yf6CaFGPb$&+adZ-^5Y`<^DOa7>$0n!?6-*bA#IR)flAu+m$vm~O!R5%
zM`G3z^KaTel$d)F&wm_KiOruw!q|=@n8%9wdor=k;<-{jbmz5`=r<$cZOu8){6FQ}
zXOL9YzJ_rS1SBdFRf0N55CMq;h)NWYq=1fqNEi^w86-*`L}4Un$s@y%v*avF5)90c
zGbl)wjQ4r&nXc-hP|xvH-7ojUucmwV-fR8ewbl;ZXeZ{7ys7BxOY#<=?``C5K`qZU
zp)YDXPK`IHwJ4cqkhuc&XCp^Ja`z!q8XP3wITYdbdJN*T!R)h<ee;ub2gi<L-1;+q
zBe*uKq3yf$QHi{h>GK+Wm#2my)UuA64s>D6KIU8{b5k<^O5LxKxjs3{ljjN=n+-!z
z5nI{z7}BxNFJv9cF^M>~I&E~Ot)8^moVLr-M{4@oOP?d@yDl~4Wlg7Mj*~LS&ouhi
z_tgbt4yEpkWR4}rP4ZO3VX}RNxj2s|Y|Fss_mP>b;T&_2V|y@euhZ7^w3&^z^V5g(
z+krkO(DypdsaV$Z3Fi1`=6FF@p4Ge24)r#t?%CA8oE*+|D4C*g7zZ&81rWh!G3?|0
zr!mLe<=ED=v6i+j(dJ|1O+(&f<h@0oXX!i6HAXGRs3`&S5Zah?t0DVRZ!~rL?A4YW
z<H>!4OoQ<js-qvyV=$kEvCq5g+mB;nncG^lahbex$lH^)8_`EC`l?2sZ#uu^ElS?Z
z<UL1SQ<;xfn3tv9=(`8cyVPHZ9Er#?4XMfY2C5(nzGhnvG+>`r>|2dvl9G2KZ9GBV
z=H!i`?Su4jpT0744!z8^qYCG68`kufthZz2EkS+rsIv_9-u{5vssA`RGNC7#(!%T6
z9^6K4-XFzyKKHvvB*$!Pz_~~p;~Berv>8j@(d2DF-h$*!O5Qm7pUJp~GyZAG8%=$=
zs563kx03lVweRY|`9PKz$utT+Z^vRW>f?Z)p$7X^W&aS4i=&NpjNNavS)06b$a{^v
zMd+^sc^8xSHhHU1&phhNL48Z9vk~>?Cv$dcFGhwg_5YQ-8@XOXLDa-FWZ|>T7|DJ^
z*nbws9piY%E{66BGnPAOza4qAl6M#V_N4z8$h(<(-lndd)K`EyyHf8|GDlH+1R2VZ
zWgm+7<lc_H2**>H#r9+<%YI?(|0c&}<@g^NyAHH>m$B?b`^U-q2K{|SzbWXy19hCD
zo~G1woBC!@XEQQarsgWt-i{2b$&wG-$u$%`F$O-DRb=}ijAg$r?B9jsMsxfg+IfyK
z989|j7*qfIg4Fakk$!X2|3d00Ks{5bD*^RYrq1qUj-=*+)Lw@S$;mPjH&Bpl<&X~-
zdGC1KVV_Fq#QvXfTx*UmLp%2w!zkK)o%VOpPc8cUiGJUs|6|nAj(Sp)c{TO*B6AqE
z`rO-q+DDM#ELnU8OMoq8TZqlLkNRvofg$Wyi~UP+Tp5mUNIRox?=X3b(EeEZNko6`
z==TU~x)OExY?*+%Do|fnGLNLz(bU|7+RKvR99ofQCz6pb3sS+~9(y4H8nDk4_TR{H
z+c|zY?F^&6+O(UJyesIZ9(nK4ulI+ttm%u?6Gh(E)b<877NOQxsJTA1Pa?w|vUI~U
zI7T+VWBiO{yswA7_=x?ovHuku<=E4-k&yOYqTOb+Kaae3>8mRJdOy5C4TZ_umYOD0
z+bU|@M6FAxc?h*vAj1imXElCDYV!Fz%}=}@gp7z_AMa^t;rEatw2_mxlF{Y?+MiC|
z#`Kk)J`a+20yQ+GmY3t__%3<xQEPgXr|wAVze$!}cpm4-wg>x>koRw52}-ix5lrTo
z&Kw&~JDwvSlXpCAZ=sKy^p&5yP3e0)HGD%Y7pUn`YD-0piKz7?=2G|j)PEVx$g=@=
zke+;LaE{kLLzTvQ_6b32j+w%-t7&Ho?X6`TqiK5xeKeu3lJxmFeV?U<t<(}jO_Qn3
zYxN>(jiu&{Xhr>p$ng=<B9?4xu@NT`!nVG+i%9l;m17cd{6Ty}TbpTfCv6|4kK6Q>
zi9U<bx93y~YVmjYUexBZP#Cr5q2|*VLj4)YF$f2dj%@ky5`2Ez%eHPvf{)qv2ad^v
zinP&`w!Bt#q3t&G(SW|H(Pv5e&chsMrH;(hla0CxQQy1N`8oCeOzojqNRG0&M5Yy(
z7|+*k^Ropg%D($BkYlURMhI;sr_Fn~Mf<MjMD&@0zSB}eI%-KnO$n&&Bvw*q59-ZJ
z-CI$K9IkIOl|miVMQNnMIz9_SEc=$lIF3C?8>vx{_A1kMSbW}a`fN(y&B@!II{Hx0
zIO<wMjhCpk5C&8CRqF466j(*3{`e5#=#Cg%$Gd#K2lY870mm*yH`=O7n=jJ#lk}00
zzWi^K&(Loy{rm6W3#expbv35G+|+pl{ir(~^+)2mS;*uZj>dQlfH|MUGCzmw_*rz~
z_?5JEkv5;gE3_X*KW*u6ApK6F{}t2{OHGfUDD`!r&TZ723lph71RKfXd084E$cBQb
zhe^1OM(lS2T{!L;+Sr3HXzzX6El3}!=<7Uo(C-}jA4DDRQ_qXkWqnc9>379*XiM!U
zQI0G_u@Oh$TK@_2(H_~bg8fQi0mnUw4{2vU?VYFX?5IXRUFmNs{eDaTzf(&tc-@*o
zeOIZo23Avdacn0;OPKpIxqiS79Kata&h|m@cl`S7e-h4ZR@&Ny!L;kMTzdLCj)nBw
zoBk_P$K%wq8w04%`|&QkPtC5&N@SRhU+@gMila0N!{@StY#)vy*vkGDu$<$cLOa@9
zOS_3shJJd|-*WoBO#k`NhI*D$S2BcCqt8TT;5Ek#Nw9%Dk?4Tt=!B8jhE#m+^>_~|
zbKE|BL_5i8Zz-D5{<HLR7?bF?F8ybuj$P<YO}VIV8|qN&5qSSxg~!QK6Rz<oh>rj3
zd$&J<HSFi_fL;R{VlVB4VkGUJqy13yqd(VGdNiblh18Q2O{i@Lb-oJEWoth}hLLz1
z&*4$rCgUUg&4SACIVu*#+5anqaQs}9roF@HOWS$rCk}(@GnD>MVHmX(qAusS5jFk_
z*W*tpN``@O?ye&(*|H!5?(u#f#-b{&u)qHue_BM+Mk2JL%{{dL5(d%N5&A8LNNTu1
zJ=L*-+VWr)wdTVnYHx~6h$Bx7hM^xK;QebW?xQ^WOu!##%dr>Gk+u@i?sycXAHVZ=
zq0h|pzY_0I%WrUw{q8mhci{DF4IU$l>(u*IBqqX){ZJoX<4&>P2o!>Aqy`+n3h?*#
zXAwbP7wGqGte^(h+AwOew%*kEC`M7Q&mnQtABoz?jg<I<e2?%qJwnkO(YT449P>5u
z(nb{W(B=}9jnCVHJ`>RYNaUcFg(zli$V;tbaSPR`-+!~-gFDDbwh%mrCvcf<8!-SS
zagt;DB0avOt!FWbw$s7+y-B|x;Q)2iz;<e?h+WiJ57(%9G|J&VIksXVK0$kQKtD{y
zP9$YN?>}F{d#>k(zdKi@&F|p%-ycz*KD{Tkp@!?|LOs{eoci{o6!n_<Eb@}Wx&9op
z;q^$qc3U{|!Si4u%Hk+(bVNc#&~9=#zlq_0qjZlNdf*Rg8U+6>z~3+Z4dya+d(Ccy
zmyj4|$>yBL;xzpJlM{6@0jE)tW5**QZFwy`fqL|@AMeoTkEluiyHSyPRwEDfMdCMD
z_fYJ@Bjm}0@~DYgs0gp;DG<j#lkg56#T<^Wh$FPw7I*1m08(N&{bt5A>hL=4?|8Lv
znOaAq9PU#8S`0xrDxm~IQ3mg!2cmHTIXR{izC&)>8j4$JM*Ci`s?pyjc+K)Y?EkYn
z5a&^aI%mM|=_RPWGor8)&i4)6#$_DDD)_t-hK$(BasIc@uI2T#R|l8qqc7588vPc;
zX6o?!;T7tNL}47E-r=Z*bT~<tb(jg)`EdAM!0YgLaQ)|EKi9GA<2Gv0P7M6++YyIQ
zk^Yvz?<}9<GHO%T5~QNe4=@|QB7_Vz;j{1;n1UH_K8K(+-arN%VE?hGiaWG54drm0
z_PzgRz&!eW1IMVNC$hkQPiu)R@cbJE{~M~8ks8;@<(fT?v$zGvqd1yj3jBWHGfWrk
zzzek7AE#j67^I>9cK9CNGX}ulr=O?ZW|)aMBq59U=hE=nTMO0jDjbi5_>ujlpfR#y
zAMNyo|J{hcPj*5^tf1fbaECg+L<Km<(@_T*agf?)qZho6xyFm2K>T0-n|*)l?15R>
zkF*?D6Mo-3ixRZ!eeWE~(ccu@#XHn64~eMD?@Uv17P+ap5qxIwIq3*)!0aiI6#m=H
zNo>I+c)u-*n;gFwAK@u{L;D@@3^vneOZeQeo?2QX8-Aol*Y#V-jB{jI59cldAH&~*
zI-@VfU?~p3e_wtT-LM+|uHm(L5-y@FeT{|p!_w3+0<O7y)Yb{haTR9v`;GVJ$yka_
z*p97Og(&zP_d}FKGVJEqNK`>$tf1}YcnaI;vnz5TmRdeXIe4vJhXF8i2=0@`b^0w<
zV;Out*@U0qHO}urufX$R8V<wp3r7rY!1?t$c@!^E!^hZ&WYp#}wcjJw;WDyNe;G7D
zXY|LXh(Is2L{0dNmJ)|KCK~Nf2wodv;P*lE?xxTFC;^|P=fLY|F8Iu~90O4gp?Dfe
zaFc9Ta20ovl5LJjS@^6x5?kPR-eR=X89vwCgLyy05Affz{P&%iIF0A2(chb#A2YkQ
zQ;;Jk{BBnnHBcRIAQaExQ5<7m*G2?9H@xm2rp?KyhfLT<pF>d@NwJlBB2X0>aFTk>
z?6X%Zyp2-G53ffm0N1bQtM}S3uo9<{i8frzwz&m~>7zUb!L{Xg|0)=QZAd_k{$AV^
z!?6Of@Oi|wngPzaeEk@%^VtEc!YDLH2_%8{_fZIg&#-ayIUaS91xKlA7TVwy_?`7Q
zb+5rB^n;li!t2?4_y8@?3uCYhaqztL->Dj540hu&`Y>-_tb^Aq@5Aj84S&0Qf;wMA
zGkk_Q*bJ}TC-E!1SD%47w__2^+5w)oJ~LmTt#ufTx8VF9roZX%xv~ImQqx8Z!v`n?
zf2Z~u`z`z)H5ty~rx*;MC&pnmJm<}N8=kin(Fu;B*N4>fVcwot3a?oq)KLdRVSN{n
ziF(c45WO%Ov*GjqTKFvCGnqN3V<<YJHVPsIj?&H|^nt%$Ilm|9Z!Y}KQU=!J@0MO$
zdgC3ujK^_}42R&e@LD*JOW^M#8?YNbH+s%yX8)4#yXL1@2JgKYXy5y9cg%<V`y5aa
zUEz7W2RGpPR}y}QYK7i#zDK~hbiEHoceobbLJ_2g*QswY1>TFwAsy`Re}8Y_Z#87a
zCF=5dYXY2`nkbB?kQi6Va|TCo7{_o9{!WsN&;56kP&igy;eE(+*LFQ;-b6P<!}IAe
z>hL$q#`qjd5r;eQ-@2SH|4k$e;b;N#``7nw_jC7if1j5RU^yc3Azs1bFt6*%>qi~r
zgVz-2*f|-24zTu8$OW%KDe)*Cfn(sB&wv-;v&Gx+Uhe&EK7N4DG$FKI9p;^dy|{;*
z)KUXoFcE8U2)E$*?Dt0Jt~4s*O;kczgd#UG;1BlqcLc9}v*7O<_2GD?#!3468j<k#
z%2II6ITt(Ox*iHM`~9X8%#$Bx&jB;$MNyQ4W784?Fcm(>97ht`&5N3FJx|AXxC-x$
zufzM~Kv?T0nE5Ka*1Ar!BPa5}j3IE{r^Y?@I}6VT*T@(+ezi~l$zk3#7>zcl1m_?j
zyjE|(OnipU2uE#HhTq>`M`=_*bvP!i&<A6&2)pqc($J>gP5eG+UVks#hVyW(6+&%v
zg3nw&XKsaS(`%UP+uW(}IMN_F9>MQ?b{hMz1~cGyUZ1NfBR7)ZIDPrw35`c*IQIVA
z@DsQ~jXz;E%=`sDL3=bqL)3@Y@y2KY$HaN{{^Q!%41c4$jZCx|3ZK`_I|=Jy4T-5G
z2fVH{LQjmwTx@{P{9bQ=f!8Acy9iyvIrv=Ryn222JLX7qM+1~a2<*f2cOx9@PtX9b
z<2gKvU#N30%sd<8;9U1bcX&OLuifTn?&H25<FU4pn6|RR^QA64e;s4br8wL|M(Qby
z8gO3v!ZjI<ui-iQJ@&&nm#-ZQzZ0y2&yM3U0IlJADS@m=2=i{nObkRbc>T<ebnqH;
z5__-~UVEm&wK^Qb;`!QbQ!y82_542upP60Dxls;|X-}AU1^lh!3cQ}U?wpUhXb0<d
zo@Zhq%)K6);`!Qbe&#tp7K6|cAHe%u0eH{5Lm&P|xd~Ai0?*-EC;{g<1%9XA6L79v
zpDVEd(TIxYYsX?aHo|lE2z(}YojeWCUB|KsKEVVm!}stU_Wa6*qVO5hwb&lcb0j8U
z2Apr#xm>&EoDA2nS-p>ch+23Jx$rn{(1*`g&ad}EuhE{v@1s1tH~CwS^<JfJ=lN&s
zfVrLTRrngt=LUQO$HjB@0`9|qhYW#Z_!fMY>jUR^F?Qe-?jap@<-x0X3!cl)b1w|W
z7jTWcX3aki=KLJ}VOGzDI&f}_AUl%7`@jJ>zjH7G-4PC-J&Gd-o<t&Cr*^-uJ8$MT
zm-Dy_u6OUT2jI9|#9g>Po`GXm2JfO3`osBMgzY$r-{JQM=eQtT*EQkyr&jRZ(i`S-
z9wRUi&VLVdKr?tQxITQwaO}J;B*JgBzaJYBgVAuEwSaY%gKO|vq=oZ*iwxeI&228v
zPw!jDaT@1w4bE$F_V=2c6JD474(8fv2d@?8U4Si!gY|e#agKAqxhV(dxgMIJC7kb$
z@V@2Wws1~e3t^~=*YPr*g=_gfZU2g&;rz~r{SQJ%G(>g0iu^FMzk!$`A-umh-&f!{
z>R;cx-Ot_6{k;Yhz-y?1MzDSRaXrt&2K<0C@H*|<dkS8=iotoVhIdgPjnNdIqyF{1
z+x^`A9HUUYh-Z)zcWCz<%)1#2F&Uqs8$8Ft;In-RyaY36L>eT6Ydit|AftbM@AlNl
zfb4h?&TR$MMiY3AFz-0b!5ZwwQCx;|?3`qUHGBPXzC0hRqZZ8OT>97dHBcF4P#pR2
z9MU5xZqn{qn0G6dVg@{i`=ULZi<&48&*gjwf#;)h=XEF*QpPi<>pl~*As0L!TqAGd
zJv2jCM8Le!SOu?H2XP+G#beayJ;a({f|*~1b5{wTpRQZ~nzI5N6SEe;3wRpd;}YNs
zZJxkBxSkhdI?US-uDPZNgSEbnqHvyHKz5irGtB4Tr(sUV#Ca`*QmBYpXoxoG3D?mC
zn0F<<fn$FPS7D8=!;J78%mdHIVkil-d#_O`lz``Ze&mE}BOM&Kd$e~6$KiS7^<o*K
zFcyQ+9j#%FuEWYOb0}Vhd2+&R&&SKb-&}A^%<6ei7FFT6g~MxAFPPW!_bb@<X6%K}
z1J3bHB%;<-aGtH-YnbcXOkTeW$1B8N=QJ;zSFi7mlXIIGw`l7Ej$$8N&nw_qPeLS|
z<1T1{26zY7?b>#In!7N}ULc;Y-R5V`YdKVb<MjcWqZ9hzbC}mLUV;tSg*cqXWw@@b
z*UZk9*D$j@4|6$>@^uKZ!!_(VYt|%iZe1^DaR}eT`E^ar#Z-)fbL>2HfY&ZFhoJ_X
zYjc-|*<Xog#@A2=6=2qys0-(|6&ypa59S?<8CZbT*aqj=y3WANxA6#dyDrnf+?imm
zEb+VsI~LCAlQ3&Cc-?buFTpYN`e0t?cNOe+CLH%+=#Oq_hh{MIdoV*anEMTw-MRFy
z@7?a_?&tm<=kaavF<d)=ywiC-4=b@5&hdVDuKkLuaGuR<2Iu+-nA>$O=hK{C(>>?C
z9-Gy%@;dbkj=^?q-+sP^d1qlFh9d&K(HX7rA*{U)T%&KH8k|Q}MRmLl*T3`H5FY38
zw&R)^gh-6X49vp{Y{U-yh{JGBe#3Q`*=v~V+uS~fnN7a-o^4J)cR%;{IFGj-+p}HU
z--O`2lXyQ8L*QI=M@P6Gt-TTI!#rUyTkUwhcAKAh&W58oTq9la2^_~SU|#1p21~IP
z+pq`waTI4@&DU@X_u$-_%k$HW^0nLi%zbXcwQ&LFJp!-)-siVs4ZLp5!8DA6b6{=O
z=sIkVmN0W;n5Q0`@Au;Q+HHR3KCWZOsRO#954<***FNmaKJD8YwqPfm3(vO`IERZc
zvpJl*`*0r3CtthG&u+l1j?-Bj#{v8R=hyYT8usZ}yT&GBBtF9c^n&waX6yGF))Z!P
z&AQIzYqvFlSsfqe*0tON{qQLQd8hJvHWp$fHefrPW9Q>APQuLAe+AcJ?%Ob*eC@X1
zVOGb-^WV93oy1`u%<GsswyvqUn2E_41Lt@!tg|P~>|C{hSzN2;a?a)JkI(|G;rN)f
zJ6tCN;TVp<c$oJq%*QfVhvWYp_F_NGd;({29%eDO^KJG3-@Dz<-Ov3!&f{&z_IAL$
zYq1;)FdMG332=^wA_9G3X4iHnw1>H!@0LM)?{??4BOD{=whsb%hx6L?JOxph2gloW
zwh7y@8$ZIi@%*#)Gw^zA9_QO^0ls&;pSz#y!nr+wpYS~#NAs@33b?MK;hJ`i$HLk^
z!yuTs7rLPf%<X)e-F))3Ih|L>#;ne5f4Ej0KgZGeHSa9MU=ggrv3HKYg_(aqEDqrq
z%we8$Fq`XEzIIz6tNVJ4$J&N%*`{sVhke<neOrUISkoxDu7|+P{b2phwd>SOU15It
z+HHR3KJM!=9%~!6Wt+DBB|LxTz_E6Xt-(fY!w!58=h?as!nrn!^KJH1@qFzzKXV`V
z^%#$}4coF!+qRG3yivTLhDjI;&$nR+WbV)FKIjcIIfv$xuifTn?&H3JthQlWwrSh;
zVPB51c|C_$VLe=T&c`n7g>~=80UUyvjt24lVVE-xKf`%7>rQx%*rsjUhke<neFx_q
z$9w1F3w(}GVf_Q(y!C~-0(|dwKX*U(_c-U(b!^s&n1UIYjd@s%6<7^x+Kg}Dytozv
zna$z6naS({zIVHyJ2v~U2WEBLwqhe(%U@$D7QnS--s$)f6EFtOi!}!_dkypYV=m_~
z!1r$VbF+R1=XE$7H^<Mpor;+-?_4<6*02(5umM}(yaZ=<&b<DZ%lQuGHa~M8$0s=N
zHr{W-Iyk?};TX@ypJjG_oM*2&<}i=BoJTVT_}=Y<;W-ePU&m}T{?p9gaLjjbZJWU?
zW^x|Q7vOuhJGbA%brG0f^SWkSJFX$u(h@kwG588I;JS1DS);XDvzeVUbC}yqW)JYa
z+x^`A+&?(0?YVYbLs6Im$9XXvcgNp#=Nwz3wSJ2o2xK;oxr4dQ@d)H}j9edE;oO?l
zwc~nThDGpPipDHhk9l2x<1q%V$w1~vUYp1H4(2vL3*__|k9EufS-n=do*h^7+OPdD
zg=7C<W@~ny1G$~IT`*fPxA~c4<GvpAu)L0|^ScoCZ4K69P1fdo1m-z7_i(nG%Y4Dy
z=4X!0NVqn}!f|u_97o5~arGRI!F>E#X6MKA*|~Pk%;Nl+E128-%zXk`T_awrg6H?|
z@><_ynAw`G-Q4DI{>&82ZGPrHft(&|8@BbZ`E{%vb8GRs<s7^IyvDe;&1~)FcFxTH
zAh-Lu`?-H0r{~9NxRzZ%u4nsld>3FYoMXp63eL0h;dRxyc8;un0?hAPHP?gO?&t3J
zVBQ&QbADY%(QuAkTlQ}q)?;1PXPwq--OiIa9?WmnVE-hy{ac6iSeNx#r}Gn-^M_?O
zXRzSR?(dj6c8;NA>6kjUj<I9y+IGIZhIvjuY|hQ?ya#7@ULO>gXZQ7(znkm7%WUng
z)8O3BXE5j1&)v`c9jkwu*Lhw8>t2UIZu2~hpSz#?dz{Cw!b&)fj;G`5_&UxHTiedD
zbK^W)xAg~do9SVKb9$V|+s?ncrmfF)ZLJSxHqXO6n9<{H=V9mYgY)W|vo_b?!}6N>
zVH}U(d>(H*w)a=(uH)|c>l|3$pXD{vgM#NVIHPUZrfmmbuY$9BURl>)<u%iv`Kzq9
z?X|)4*6W08$-cd2xxTz^xz?=h@A5n6f5tWOSGn!OzU<S!UDwuOJ=SG?*7;Xs;d=cu
zu8#-j`OmW3_kWV#Tz@C9rXQT||0cJ2{!Z|^{%`ZT=Ks!ro6mLrPyCZ?uIK-h=fS@-
TXRg=(E5YY&VC}ko|G)YlvP@#N

literal 0
HcmV?d00001


From 465349b17a6946818589719fc599025dfdfb96a1 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Sat, 21 Aug 2021 13:47:26 -0400
Subject: [PATCH 29/73] Added results and predictions as .mat files

---
 Lorenz63_fitRandomSample.mat                  | Bin 120184 -> 0 bytes
 .../ode/DuffingEquation/DuffingTest_fit.ipynb |  53 +-
 .../DuffingTest_fitRandomSample.ipynb         | 149 ++--
 examples/ode/SEIR/SEIRTest_fit.ipynb          | 722 +++++++--------
 .../ode/SEIR/SEIRTest_fitRandomSample.ipynb   | 193 +++--
 examples/ode/SEIR/SEIR_fitRandomSample.mat    | Bin 0 -> 160184 bytes
 examples/ode/lorenz63/Lorenz63Train_fit.ipynb | 819 +++++++++---------
 .../Lorenz63Train_fitRandomSample.ipynb       | 143 +--
 .../ode/lorenz63/Lorenz63_fitRandomSample.mat | Bin 0 -> 120184 bytes
 9 files changed, 1064 insertions(+), 1015 deletions(-)
 delete mode 100644 Lorenz63_fitRandomSample.mat
 create mode 100644 examples/ode/SEIR/SEIR_fitRandomSample.mat
 create mode 100644 examples/ode/lorenz63/Lorenz63_fitRandomSample.mat

diff --git a/Lorenz63_fitRandomSample.mat b/Lorenz63_fitRandomSample.mat
deleted file mode 100644
index 1c11cfa33d1a31319f031cfe88f848849a0047c9..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 120184
zcmbT7hg;46|Noncl%|xlm-dphUXO={jEGX%D!j=`_HIcbl2G;x8D&M%c|9IQRx(;f
zNZF%|A|c=NyROe)@H^)^*Lj`mjMsHNuGi~%?&J0f#;_4M*m!`0lW{PH+0U3YXS#97
zoTx=J=Eu+VG>)6UaMm(AW54+6QH!QeGoC-s(>OG0kufg*&)CJ;*xA+7)y>n@+1SO&
z#aZV6<0d;aSWWu1FEz3<-K5XT(udOjen#<suhp$&WaOpWveNsq|GiJr&&$Xp2&uPb
z3Ax1+1i8d8q1+@?nEN7Jc;GTch^5)Ww~$pr-Sjj;IX7DvUUf)tF*q;OAG$6?ZhRu7
zDSZ<@T6crII&G+Sv4G<L27>yL;UL>L8Wa^)LP+pNc)xiU?D_8`-0LWX`7sY+PQ^PI
zvQGx-lPb23F+iESws>K<H%=%F#@;ulV18gc=1)yRzp)#!?btT7Z`p-%g$GbC?g*A%
zI*Nkj5e!P)j}yvv;?#Z_xW02ODt(T^;^~MrMMl_N{||JYy#lF5%VA(YMNsbc(D%TU
z&EnW`Mr3|)9?h%RMeoL5AvgazYP{D%ak_GBG(?3Lch}<mbM-hO!H};9n{rp9Iqwg&
z<c3X_Jmi`MJIR={B;15c8~gEqVm+?>qs@x9dhs%^9^7q#0tfc^OG`|@QbOcwDyn%*
z8;h%Gli4-e*8d7wJu9S+VaI9N$^*1$VJ=;8+eTX@8I-D)PN$65k@J^Cn%BC9LSt5v
zqVsZ69J!3H6fUESAuH&m<!XAkBY~DXC6m>ZREja(KnqrECcl~6Xxir-YE;=zW)(;2
zf#GS|-sd8{zgS9@9Tl{w={~)Se@a`AzoBz$zfsNCF3RXs<ZGop*|1oPLmKt@fte{M
z#`Wi^1x_4$eIW1I=F9lgpVMv+<7KZ$@o=LswhW12+t6`btUR7CM2_QJw+J@K4Q1Ue
zBYBT)5F2g*E^Z#kcgH)hosBtLr|WUeX*E81Tb{S-eWSzy&#0gEEz&V9qNKnhWOZsA
zDNjiu|7&w-cyuV)rFc_{sx@gf=+Nt1isU%CRZOd>69=qjao&IeaZ%oWaoVOVvE=xA
zap1bu;?3asB8E&8%e^Ox%2nZF-OW&O?(Z?;C+{$^WKM)A8$VGr@QM+gN@t7oeX(fw
zB|)^jzFzcQyG7h<l_ToiJ}9~@J|*gVUKZKzy7(rhT6Fo<B#!OgCTfkBr<l#E^y)$%
z%5O5K{SGd)^(>HEY6uzJilV%nMKohW3dI#{q0N=MN$&e`V%JO5u&;s&2iMbMoA*>Z
z`43sdDf5CbEq+#Q$ks1xIDPU!zVGPIspg~ETV^s(T^h@64okRUasuzGPvN8fY5Z>1
z22Rr0$Wt{o@U4*bTw0mLfo{v$>h>%SdlJDlU4DG!nFA;3>+y%7@*GnAl=fXdM@0`d
z(#r26sfkpmYuFxfm|LM_YSSCv375AEQ1(uk`a}<^E_*>&?0DERehGNDuLp&aZ7}fo
zJ_u|&4yhZ?!3aqS^xk<5&f46C|2Ecw#m#51|I=%TlWhT)o<AVFR~Hm1%42j_H*9a|
zfrG2nu==Pb{+iMoU;fg=^RfM~__#4{Ibnv;(U$0b(;7YR+n{Nj9j5QI$FZRf*gMSu
zr+7GE&uDvGsc47CEo{*KrWM+>o1@Al6ZFzIM7Gn%s=qoIxK{&*_f^H)>y@$ZH+dZU
zpbO%^wnOB^&+yjrHT;Wy2J4LKVExQ{FlWdua4#>1n~f51J$waZdR~H+eJ?=!{j(r%
zTL>4d3ZU%T87TU9271&LfKR|#cs1-iTzGX6)~XkSQ{`149R}l%*THbu9SCrG02g-E
zL(977aP;$QSYG)VF7^EZD%D-kw@n@=98<=tD^+pGOihf7)<v1g1}GP7g4c~K@zXUM
z+~4039}IHE6OHcJv%4n_-RF%@Hu<7&xqy#c0I%N{aOVzRe4XTthjRy^)2jj4dx0~i
zh1%hcLzd{d%oyQ|9y(cRp)jZ?PD4esI{OD^*t9~tP7}y)tA!n<w;=z71e|AF0Q0~3
zV6*5D1l`>Qo0YPm*l06Usi(t%niL3_mI!TetKr+W<*?jrDa_Jb0<XfBKzid+*mr6L
z*q&Phaz7Fw#&#Xd>_`L6Nf}^1J_~w%-3brP_QB(}BTzfz6r`@Y07)LD@NQ29sGqzK
zCNWQ8Px%|Dx%mx3=KKTIG2KwsSruc3YU82JeX;tBDTYk6!T4floc75B9cu+t3<<=>
z0V6PZ(rA3QXDq7TiA0mK@z@wO0l#e>kG=gP@!H}rG;kh;&6|R7^GU#%;(_?#y*;)r
zGQ-8&`e4H<RZN;Dhi$Db@T%l7OrCumY#q*lwdDagK649L%Ot?Sh8Tz&Hw=8ET;W2E
zAp~#f35E|lgrji{!jQajp}_cza6WUlu>9mkVL|vRVcP!b!kw#Q1n&Sp;q()CLEXk)
zxc9+AuzzkW9I5Ijcy2KeUUV7=_r4nnvN5JY-asqi{0w_x)dx3WTA7cK{cVVFJ2_Nv
zOP(r>mzyv2)m<w*nwuuX49pVl{@Nq-zI9x<T5?f%{-Iomimw)o7Q7O)y8jd^3KXHR
zN*y-+G=QyxZJ^_p2XxO5g1)ljA+>c5@SOx$sJ02B#^gXu{!wu2e*x+m%i-F~8hAA5
zEi`}YggMH}cx{LlzIQZ2>vOhPR^);A^#ifbnNaNI9EFoZ=i!v|D{y;j623dR9`lB8
z#DYy3nC!Y4D>O22Z_f>wXR;3OJY0pzc5_grF%n1Q`r(9L_W1R?4!TzUg%Q>F;a9~`
zc>LcA=-%i6%^44cZ#yi7w#A7OJC$@%HvO%bImwW=-|(lRW&hEX1<5q&@>VJ<+egWz
z`P6>@BGnobO|85|$t@2_W8YKy^|_f6KYyeZ$G_8ZtKTH=A<Hw%6!?>iGLKGEVRuqv
zr+N*3cT=0aGj;htD}A<3GvM}<hHSUVm`9qL^1zv9JTcOom0Qd?)53x`{4wY63(R>`
zsu`DfnevzI#yoJBA&(qoz)-5k&Yyd;>3c0cU!u;B=d1D|^&b5FcsCyHC(pC0|54en
zUzGj#8_E6tMB_r<l3MpBy5sPSl5Rbs%ojD(xcC8SWmeG%r%JLJcbkUwxJ8=&H|dw+
zO_CdRlWO|iqU&+D>0>}88Sbv4j=2x0rlf{S6Ccs^s|}<w^CeA7ctfjYKGBY*uk_ET
zgIWr^$fiP$pM-YfRlmElRgo&ot<qpGe;t-n)Z;DZ4cO7&n5X2M@vldg(i!#V_DDPK
zx5a^fMmX`IW6oT%(1q`xcj4PnE<9|7Gk^Z$$nl@-xoo5@-?g*m5n1LuF~gXZ91OT<
zoh~2D(`3)Xs(ds<nFlYG=gh`G)TZ{G-feqNhN+EouA`pt_dU|vb(2;-XZlf9LYL<k
z(buxG<ap~eT}aHQ8y}8Qr)(b0zIKHEI2@rBzDKB{^$2|s^2pilIN6@dr=okOsV(U&
z`QN@swnwgz(2GdEM+J#ll@xNUn!fr!rH=oaDMLj%@BZy%Q`|+vBNaF(u{*E3r^fz+
zwE6WpJuY)FVx7I_-1f0QPgio}%*U?WXSfIF`gwC?zQDTw4QBNie^%TOz!UETuvOmx
zR$u7He;xu)M;{Km<H4=Tu6#b(o+rMw<Q-K;ynB2fet1fqGhZuncQaX5k^N3bZC}xk
z&$Sdg^Cl@=D52*~1@v6zD6QAtO*KYYq;9f-j%p>-*_X@d&D8mHIBN!##Y~|dJdPgj
z980NnV@PH0Xi^RyP5olWkld9p+T#{UiZv5yU3N63Et*9e7A>IPJ64cdToQe@NuxV!
zH`9;!?c~~hFKrugl)PNeki~;bRB2I0Rc?1_smx<?O@B?FD!-9sj10G2RO0lAUVO+$
zm;J^Y@$lVN{N}wQ8{2sBF;C#@Z9`aMH;VV18_Q{-6ZrDeDg32R3@>>$jmOGQ=MD2?
z_@4Gu-qt>zZ<~inHQ#Vvqdb`V*bL<Oxwb6nW5nhQG<nn|MczO38$FZi*n5-9=$h#%
zQXaOGu6<6XgD%r3DA$i>|FxiSL4|Z?zY)8pl!#gF*<xqHba8IJwb<DIwdBvo6v?~U
zS4$f<&Gk{w3h?a~b<lUzjwik^i<E?}SYu&-%|L-7MhYWCrU`ypD})z6*9$%RY!l{Y
z>=V8$&lj?~ii8HQYr?284~3i2FNNmKUxkyaWWl_-2i#NDfkW!Xa8bq%rnY&&Q28OS
zC@>u0(F_Q$Sq5dcsZb_n!mt5*VCnATATL`4;=*h2`d>A;6ug4+^*<o&x&mrER>O*=
zdN?oJ9NYAru&~7oU%eZGlj}oq;mRp^JUtdC<}bo$D_5iO@FdK-nS%QjQ*rO(bvVm9
z1*g49!2a&baC7-=6z@$$xrf7XT<9RoZn8j=?wS~u@&~rQuLWu<1i$7CD4Qi++kf{1
zy?%FvGZrC2P<VyUWGz+k`NFN@bK_bu&7nID{bf#GV|=M<`&gQ!KbuZEuBFIc>2y~+
zi~e5UMQeQy)6=Yzbo$A8s<6CDfvMN%wBlWQcczwt)1TA!+_!Z7<rmV5>ZGRba=iLi
zHy+xl!b=o2c&27=&g<QmpC}shlLzK}Bep*aqCKCy>dg702Jo(F9_;hZlNa6eX4Q5d
z-Z|BmEo6OJ_JKD$-t*+re*?K{wi{0|apEc$TkczA!AjSRSaYc!FZrO!{Rj1Ah1H6z
zvga@5B!8hrb<LD{p`LyZtR$VqOzkT!QA_9<vhJ2gf!X^=xoaoAhAi3}nL$^CbdvqD
zj%uQlDP?OSZC{)~Uz8I_JupG)9}-F7WD+IaNg<o{>nXZn15LiYnKValBjW`*M7I0r
zVA2sPTY8d$RL_%tKnX20xkld)-IaQZdQ#lpME0^RbX&QT_K%ily{7Iw`?NY|9oOab
z>xSI+&4TaswP&<)<INqO95f%f?7tygQ!;`T{YSIv<1juqHiBQ|MDo-1kvvsBf~VMo
z@qovpSl@0K7yJ0}TNf|h>*2z46Rr8eU_)*=tHn*S-B~RAL*C!s(&oBqa?T^t+i-@C
z?AuGf+A=7x|5{quIgJ!Uf~iT<gMOG>(DE2<YCNt;m3zL5yT(5i_X{`0eEG}byXbr|
z({R5y^zU|Y@}13M#rSklEqR^jXp$_B)lCxjjz|*kpGp=@tW(9e=hDUKfX!m^(`{nu
zqFrKx)*<n&BwtiodqG?_RTPus?})2zJQD9LdMp0S`YAT-Qy`^bYGl{YhX%|vrw4M*
zw6e^XR*Av%N^3GLc{-msH<8Bn+eCxYcG9K~he<8$EOk|j<g@G^Eg8{BzaziViTiTw
zrlHEN?{ryZm>K^tbL6Sxz1aQ65DxSR<6m>9a=!i?R%%|tzZ?_TL?eYKHl(uR#54|$
zPUFa`RDPD3%*B&e^RNwZJXb!71BZ@c?^Z9~wZ)3tC7K+g@P~9Vt7%T<DKc<PBQP03
zZoO4W_jsPD{<K{pcWAxu@PIg>qwBg*Bh4nhc38mV$Ae*j<0Qx$w-`bnt%JjZGhwp&
zE|?pA7<9u=fwAI6XkAwd=cOJXC9n$C9Ik`9o-g1{`de@}`U1<UIsop-;GRK>c;`%a
ztgui+*&I!b{o5NCj_8ZVD~!-;g&7(OR(SD>4XQl1N6lSMDBtLUuMWDQe)RzCnCXro
z6WsChkpcL}&kaX<x?o&}BjyI$;jDOTTxD#IFQScbdayqJY}3YP^LnB7{q9(7r+_++
ze?iyp8>~P77Cd%6gL6G=V5GqvSX5UA?fxaOVBQ6|9exJ3|2qzwW*&j|EeAkx;a(V^
zwi~ug%7u>;bHGA52ZAQ#z?m_*p!0DToHN-Au5J6FZ0ce7J^dIo%AEpsKMSU^mmoW;
z6fz>Nfm72R(2}WvwlfV7`|&lbFKmVRKYziZ333?sRSDZKs^ZlBTKMvy9tIT{N%I#A
zG(KvJmeZUu=BYb6e(}P=selU;{P6-0L2rj)_~O)XjJF<vj$4Q0`)5P(Z_gq4*xV20
z+<b9whzG{+lzJf>8(i&ZikI)|;VC-}92~EVy2<}w_reyq_VF1!*R6s(`XVe<I}5oA
zM<8D*2Riy@z*R_wpr%ETJ8U}m=0$+n^Wm`lF+%9tLGWLZ3sldr2mKZOVeeB*c)iR5
z9-;+Ywzh;=Q)>WATj=HB2*&Pi(9g#cy8IB@f`>xz)G;tIX(EJ|{s+zmi=ebN0k(Lj
zL7!onFuYqXj9q>Rrkp$lzDF*B*6eb4sCXYvE_(*y*FVC551o)7r-=LRsbXbXZ*1Od
zgoo}~qn4`+*6#ActuOuY{F7kZHYOY$dQHXy52j&UWGt3P&%;p{;;=z)0X~^KA6M;}
zjg&VXZycV4b`*-iUO`wF?S=g_>~Xf15q1n$$Le*m*wEvR)TiHuHDd}O$6*H?PFxK#
zgT}y<bQ_3^>IP-5cZ7lewg?3g1B6+%`MwFB6G}o2_DX(V)fQjO2@~yxuNSXs91=JF
zydqADeki6Dz7r=8>Jp#jb*E7V+SIz=kfx96Pjkk&ky)ugVP}TZWr!r(&C}^|!9uc|
zl1L3R)9I>A77cLOP2S2!$tt6O=G?wQBW_mE^o(jUH+)Gtt6E9pXcw6dRpON0z4(F9
zhd)`Fa2eR}js>n9z1y2-=LE36_edTY8qR}`PU1gpG2C52nuTni!;TB)amK89>@j%`
zuZEd?N++6s{~X7uIw8F1v_EI4c<|RG8{Rb2fECo#c<{=9^nPA5ZJlzH;`g4R8BsfE
z#J;sO@5@;7mN-(+_MVj8_(W9ydr<7LbCNiDx2!0q;4S&n`Pe5S<f?DRIelU0ozcS3
z{z-ztrd(mf`~soE?wU}l`$%wI{ZYs|(k0luQ-+BBnxMbk0EE|;QqSfL9$ns0_A3Z7
zFOG%RLt~(}Y5~}tNdQyDbTI1J3gub5A)@gp?EF{=F_Nn=A?g-Pep&}FonC`wOdA{;
zD2EAoJy5bl3mf(r;0k3+Ogij{lSdCi|CYgcYvc%gAV|IR`bp^iY8qN=&Bo7F^YL<R
zJZ|~C5Ch)FqwVSWc-JKs)i*|?)ALA7oE40ED*-j;xM1I1W;iZN8%=c;abnL;aNtoD
zczizxiw@?1j(P$ZpB@7X+O47Xog5UGlTZ<nB)A)E3)wnezBA=rBy&#um8=dODvn7@
z6@Ai=iv6sms_RjMXxi<EIJk!r{Vvd?_lAa)yQV+g{_aK<2Y}8W9YHUR$B~-j4BG#3
zA<gtiq&FYaXo|sBimA<|k0ys{P|wqpzxNU?d|pODwN>;k^(k#>e@DZOf0DMWJRiE*
zgP%XwWc29En%B+vW}F?bF&V%qmwebtHIOTR1oJAtvD{TUfioSVIDFD{j@FsUuGX`7
z+Jc#E`eZtPnGnSxaufLLhcP_Ne<)uZ=F9*2yYPcm7Th8|9{bky;3V1KWb>tw?o{8P
z!fyq1ZA~sE?M$H`IniVZ0?p7iqU?5AQjWVPE($py{uww&^e-_MUDjNYESWDa>6oAI
zlVQ2ZH*eW1Uyl@hVOx$MJk*O8T7naWmDQQT%!d8K<3neJClgDBzuuL?kNBs8o83nt
zF8jA&IJ+B&8NJ|VpdN@P&0xv{2iS4f6C_1L;ML)=P=9I~Sbtaq8J@|~p>6`n=N+)M
z{UH3PKMjfpuR!61n_#U`4?S<bf!O4qP<B88`~OwN<|<u$rEH1{Id)hZH4u~h24jtS
zFmBowfqomK(Bw=k9>|Z!12)UCv3@l+J0)QE!3lU>bq$VsyA0p-UVwedW}t@Mc-&Vw
z98X{M!bR6@FjvsS-8+?VLF6Y0*l`;Qr{u$I<xOxgZ3-NSw1vApe+s6b_6tYum<aD)
z?eKA%*C6q~6)kES=859ZTG6dahEnUbDQ}t;1(bTwZL^^?p*E5fdd#Gbwk0&TDTx%u
zY@o#rTdDW9Tw1;EAZ_Lov_AA4{gUdv;)B<yY;F}P6+9xBnavcL+d?@)CxzR{v)g~&
zx$nJRJUFs98~rfg{<&s+!oh}*9&qB1weCFhoHxtq4(7z>KpyvF7_V~}$t`n2SbxW8
ze!FcnJ4J-B!{cC{Z7_^Y?F0CyvB2GXdvKhy6A#~O#oJO1`J=uL=ccM~^*34mqWqQO
zi=NX|)4OzP@l{$^b&C9PALTsGq?+9+l+<$}-8P>>;d6qi;g%0wHg=+!W6bHcpidgN
zH7LEh2ibxmDgKZlg_7T*d%0Ajy=WJ+zP5`ap8pj6xBeDqua+SPWd-^-U73dLP^B}w
zw5Z!see!fRCEo`&^mnQo4f`bZ5edVn-9Cb96{eF~pGEY*Cy6GRZlp8UvPsTqKW&|#
zPcEB_sAYRO&D!#SoD&<VZr&Gqe^Q3~?e5MyyEJ*@9Rt4i)l!=AJM*G<UhK0dkmpy0
z@cq*9-1aYqmkpc4qk|Xn)S_h^<i3iBq^{<id8;_9avAU48P9*4XK`)QWbX4~G?xwZ
zW8X+u?ptWe0Vg&1vUER@JsRm?yGY{dgVgVB3T2%Sqi&UEBxl|tR$kvD+8S7jr`F3$
zwqHHtd+V#8uvKT95PnJ&S|+~}E;o0B6<&Q{=?ZID_F^E+J`xC7U14z3Fb1le7eLO`
zwGi?y6*R|e2G_sa;oZ-@pfoBEl+_BL!}l^w{lK8FTM2z`*Fm3dO@MbkLt*bu=!}y`
zca0u6_LVw5f1!);!w{2tTcVtuJ&rbXLzf4h_{bb_%8x)iU_1gNR)^q;H=)?>5spn^
z5xCqW0!=rM#i7|_aDm52+_E7EHylO$etHmgyYGZ9K2{jpzaJ*w)WjFVm9ZcHhF=rj
zLTG+9JZvP;l;+kMIs4#qz!uo)o(SnRGr{8GXn5V>4R4cd;HtAe;7b)4`lw5A8vkBM
z{#PedC*2S_4_y(in-vO^tBwh47aSB4U+xitJ8}iL?Ky&EPmVBGx}CIRk8owy0ipM-
zqr#yrCk4NTb3*3m65&kyHDSQRdxBxxQ{nRL_rj489m0oj1-KKY3RMoeklbzp9wqkh
zcbg|1+#Upl^${?2;Y?VRyaKvut_S<#tzZzi7jE4+0k=k6f*VcO;qLZY2%G-~^cHu(
zgK9-|mr=)8m-Nx{vjxg*bjITgeemy^p=h&wEFL$B!cLnxxZG<A=C-au8EI~LbL2Wa
zG$R%FtEJ*!+Z5Ejn1Gl6TZ)r5#bV9C3Ap0*Q0#9q5Or3X;i*-<uu=F4s@eD9`PP$g
z_Lwx&9uNX~eY9br$`yeY*$T#Itx9d>97XdgX%E!;O4N9)PIu$%$mc)+#g$Ja2d8){
z(@&;58Jnnnt2CSO-$y?rd1S0tKxH#7QJ-Rwjv3yh;fL=NhCC)qyC(YV`H^m|ZX@mQ
ze@W+#JRdAj=0gWnxjI*qEw|{hWQhT{`kC<9cNW|pYQrlRJMdOd7ao;4fN#fmaLFN0
z_VM=SOcNh|8R)|bN4&Ym053k<>A|}?2e7Z;!u#v(SyE@sPsf;X=CpqN$U>L<oK<Ic
z;~reOQJyt*I%!VSXL@4vl0MI^r5!Q1X@(Y2`-UR=ulh78d^<|j@Ai@Vr5sv4ejClM
z+DzwEH_~{`G%~7NN0-N>kZw{k?Vg-WuFc7`Ol2LFSErKOpme%8XcPUY-a<2!vdOq6
zhaP$EBZ>DBn)EcE;`*GUg7#v{UQ|Y!JMPfn@wFsFFKGF-50oGMgQgFa<@zH^tn97E
ztqM9U`PP>=wwtniXMc8k@5C#P59D2XzO3KZpWmkq<p`gVJWF#7CpCxh=q=&=;#WB5
zsD-nBStzG#g|NTsaK3xZpWlr0;Wuq=yyluMTmLrU#7bR$5Ua`^3i5m|{VSc=^NccA
z-==QkFOy^FF?zUWCsn*lBgOtpY4YF61U^G)+PwkvDchW4XX{X!gEC!@|0P=Ado3#4
z)rx-uZ-`z^C1T&}=fv2nC&i3idE(lEhs8^A2gQHZ2SuNtL!xKN5iw@raWQkoY4Psn
z^P<IvE8?;h<zhs@UGYumBk|U`SE6?OH}TLz8QSOEU7F!(lHL*n(q3sr@hPq}G7o6&
zkCBwIX)^6eoKNN*3FO)-%{FSclW)#J8Z-I~ZBe^Q6%DuPRmBr(tNBPTdvwu~^UD0L
zRg(vw?Z=PbTJwTcZcHPAJ6%WcuJ#Dt8xq4C+UN5A^rf7BVl99Bk;GLUDcpH#9bafo
zVcU~Q+<I{}|LePu<143ggk3nR6#KLCUuPbcV#q2Fd$7~F7TVf!lPcaGp-VE!wCzJ6
z`EXD2?o}Wjh&B*Cw&(hsYjqZKjvWwk;$8|H)zsipu{HeegJ78&0WZSlfcL|-5NetZ
z?d@CPe8MiUYB&TPh9}|g#PcxzSPA6zyavTNmEb<M78Hg)hlFKsVf^ba5VyG#s-@cZ
zDJbFJi9OM9odyOJ_Qs9XeNm^$7!B`QpiYVn-fwfj1{GKQa={%}JspG*v%N8Gv@e>j
z7SOa&Kxqts5-VT4spyTZYJ<=ycmPhk=Y*aoY_Zoj3;bJdgwH(n&}yM3en?ZnH#-z?
z=j`9`-_OsG@v{*uH`RdQy_*nMQwqED&x6N=eAxH#Ancg53uFtoLBfj+==L@ZCQ}L=
zly+?nxvN2=X*nqESPDkRm%z!MOJQ~KGEmQ33H$D>g&kQ*aIJnF?75H*F8wz{r2975
z@GJ+ajQ7Jfxjb06?leT6x(FG|C1BZl147gu!tc5Uh#v9|5+<~PN2(0Iuu{Sh6*b&$
zse@PN7~uT7W|-?{i~TmZVA0t@sI(FA%hy2k5J%vyTcgqY?O5E{8i_MY$K!hE33$tG
zJdU{%fqgj?Icy}(%ou_vHVe3SojYQl9WJvrMVSCyJnhmGb<Jh*$;MCcU}Zf}SUH^a
zFNE*2_d(k83^+Ah+AF3+LHCJ4Fs9fU!dCYKOjZGtz@Ng*8Bc|eTIE95pVNY0^=^Si
zY!W<%t`T|<oGB=N87r*rIYb!g<RuK~;UbI+wG~cRSqdY9%!Qh4GvQjMxzKDR?bz&W
zg)hgP1e3IZ!k}A%5IAS3;IuSM*w{8zSpI#Uuw(riVb!bkLciFp!id+qg&wnx2{k<~
z2<1&I6sSB9#vOhs?7aP5;D_=c<q@FYCVl9)&I(4J8vrhj0T8Me4&IqFA@brXcri8|
zJ`CRuQKJsQ<M=`tdsBo>Q}09b&?Ye6(hd#!idf%I9ar4$i>BJvD0%IM*Ng_E&W=&|
zRdo_h^p3@l>r2qaFcFirQqe$mgEZ&agbz3aZ(C&G^ui5j5SfZ;_6f*Eai|hF84XVj
zMXx=s`0J(ts@ExE%bw?O*7rP|a@YXbhljwMVi}n6V~s##vV1l>_=`7xmWcs&s`O;5
z8=W(aq{7k5sOkC!GU}T{Z^Ms}+Tj9vVt$3R|CW<$&|TVSSVsxj&#COn8(O)qh0=%q
zpkrl!>3*slm*{lkAsO9y!N;DgZLiKsBei(Y(B53#M^CEZ`f{hfA+HpS`J#a-pFL^D
z?_Zm9#&rv(086fpw&a!imfShpg1w~u+v}I69Ik4@S&fEl8e_n3_UdunuHIZWO^cP3
z)TR6B$>#Fi`S(IaF8m<NKbro~2D2Yzc)XRat$k0~mzt??{Bw$ke@u$qYH54l2Q=@}
zT{<IO^TIQ3(u&&^G%fo&m43KJCo8W}tH*Wfu&<!@6E~<K{}wHBsHBlD_o)2*LwZ$E
zN3mv7E<&m&eWG4dgy~1J3i?W)@BAc*G;gqbBge~kb>q}oJ=lDN8k>1)a-dCb_SV$r
zqi_1L*=`eFVrs$1=2`Rb1-8;m*nuBUapKF4F8q9rD@P4><0T8+_`RYVul(b}4r85p
zmX;&`^0DK0&#l=}-hzX!81sG|1O9EL%a0W_`M%hb|IJq7jJ|TbS@MgHZfd2!C9i2h
zOatX@ucn^ScgUxvoXXm+(zshiG-2#nGTC*CVs{>=3&W4nwhM>ochvz(*twrFd+et@
z=KIOFX+MpDgQV<zm|7klrLS@)X#DL{BwC%N?|Mb_VSfqjxXe@*eUlpY+#|`fdYXOd
z1##v(GXMCMjKtrxM(U&O#wv6DLsk9}r^RySdOYm8AwSq+&R}W7Up6^%@6&FqGj9-g
zUG!myMNW_N=LZFWyiOyC%aVdPrF{sWjSA#<*Zug5m9&4#_F_k4cmCAu$Vpw+T)owV
zH?tn+oz>vhl<xd-f-F}Z`$p8WnW8jmNdD1vYFKfZ_VqkPgL4m1tK|;*QnZN<1*TB`
zf#u|$GlzamjUt0L5hSM>LJIeWN<B{i(Fvs7g90VJ@TKUn0!94<`c>jbGJA$dd$|!b
zVec4vUNVl9zC_U#pV@Rhe=$wmpFk63*VAE{&D3>hJMC}TOYh(3(SY5Bl&oArMguFz
z+4dnhzI{&Kvp-SHg-&|>Oo4Y@>B+O+YI9mdKW_eI!SgRW@UEo;xlspr@9ZG<93H|o
zi4nZ~(InRHEzPLp{^NQ7&Em^_VtM8Fnf$DII(xjG%Bxhzv;6YW%oB(3?+!0+-Qmb`
zDW=>_RfmmNC~>fEo0J24Ok?Ya7OR|~FIThZo60K6d^MKpWnD>rq!v90`YfiOEEcas
zY!u7S`ibKjzDZJQCP;GTWqbGfHq-Y}c&%^l<=(<eLqSN|I86w;mn=M9oGoOoJ|e_e
zTo6i*l?&Ql)xrVIW}$iVcfrC+4jQ|uz|Lvf@NcXkT>oMXWy9RSYz4rU?ZM!CVFD<%
z#KPnWE8*aVRM@DW33jo&z$Eo3>{)RZ6hbAiNUsuf>Yl*J%^yJG_Zt$HcSGG<y)bLN
z9^TF~!+Dwx*mA~0nrr&u_m{y~sU3+|3#0J<oLCJ1wE#8bm!V|fDl8wq26xM>!I8Er
zQQ^vBynJacx(3JK8%a1m_%8?@&Uv6hFKc}Nxi=~mDWX==dzevp6CTev0hQl3f<mt-
z7_q<s#%s!e=c$u|i@C3`Xvs+5t~Xhd`bnOmt9PdOW1~crl)n=jNr{f0)}tSDZD`wI
zPxAS1sI-5Hq{mBVkkhqA^fxn+?mkVUZef|UxqA-X?s0(fryZx`re}#pUZJsH%c+M(
z6|Fz_h@2la)1AatQaJUSep@N<u(Lf_Ay$LahxB1bZzKNeZpjPG?0MRISJs~E$<w90
z+zf|6HnAMeWur&2X2uwHFAC$M1!LJFdMqE2gmSSM!uw)JaNNB>E>H&kG01~^Z+7Go
zH%o4wVj%6cHTkNtGG~<iCWWTAbhMy`5~Mw?lg?QxYB@j`es85lzZB}VWj^W3jiba$
ze+sX5A)}wBbY4e?&Zu-J|Ji@VKQBLu34@-A?_D2=hB-GxbRqF`^%XHF?2_2E<)Uaj
z>!SFlqDcI(y;#(|Q7R4!DHqdiZ;R0p4@IZCr((dFH{zA|-$eW2GIXm+iChBJsUT60
zMjke!#w!l=>#--j)e53htHbGo{S3P4y_A|?rqI=v&9viTF1hVKN(SNQ$XK1Iyrzoc
zPCuvB2U@AUUWPx<?!l8&wRxL?5f}Ee;YkYy@Qfe8^Akt#=cf_8vpkwlf0)A)el6y$
znX5VQSR$v!CUg9|WHypbX6Hi*e0|$;meH8cFaAaG<gzjBe_z_`opR)wrw07tQFrbz
zYN6V5w@B}69$oNACC$`P<TqBA=3c)c7P^FqaWnc$zASz2`=@=mFylmt5Ieg~aF)@A
z$V^*E_d!S+Hx|A-&V&iwRzT0q>maB$1Fn4A4oQFaf?bb1sIoZ&7W0eX&?^Zn*>M9h
zGVVj-{l~C2rWuTaK7-rppAh&@2E(JfAvUSt#-$o~xQ{M!u>n?(FvX>8g}oH*@w1!@
z9y;QV%N}~7_99>OTY&iSoF5vP2cY%&04y03fK{D-7<&S-PmC{ix_IJhn*n%Ysw0|y
zwZ=D{CirQeK9+ZBB6_Ld%!TqOzy2r4q`w0}_X%tXs|1&cB7_b;4=1&c!|<njVR>#g
zq>kJKc|THMitcLIt`ZMgmuEtK_bABxJRU+r!ok!y6sC+A4SE$JFg#&2$i#)hyiMWo
zr)oR|xK4$hmu7(7_<69#a49@XPJrX8snFMH6HI8$0`-txAVeGjogOFQ#M}#TK2-t^
z<8DFA+ZyQO_7c*(TcF?H-|*F45jD6c7HreTeuoV3)Khabv$e;dB?B;HuMhrM8GxhT
zj=-mdp%|Mt4lT1M<BPy(Y}z~x`}<ADJ^s^BEinq$wNJ$51>wk*Bhhe0049C$#Fzz+
zxMQ#xI_3Aq2OqlQn#4}HBff;x*S8?j?L178&Y__r9iDj1hqkO>2>9**^1fQYIc-9>
z#v8)bkNbt5hn5Mah71zMewPsp&g}Kgx}xlBU47~5p@o)`Rl3=dTCaPOK2PMt6fXm@
z#l=nBVKrO~Ult`^S+!JDD^C?Cec38biQOw62|Xbe-n}T!|5YX)`*~lS{QiXqUs}c0
zJ7wtRtM2sVn-;CBHKdCNZD`ZnfwU|nfV^VD=&Lx5{v|G<Uri}=By0;QAKgU*n)B#&
zzYEkAT}JOE52(niiMlm@r<!niZX2b_T%*e-k4@Qpm;-O>>B&QX2XLP^qd6{f68AVe
zlc#@+=RIvJdHL}~-ajgZb0zCI@y<FP6q&+_;fb8TeL0uyn#)r(rtqjaBl(WAH=k{_
zW_u?cUKJ<H!2=qoLg5n4xwTE|ai`OrUDgz+`%;{dvsk<~e!gVp#z($$wUUI)lNCbH
z1UVSC)(}d~JmBilQLuXAbhw(c9DK&4!m6k(FuzX@49YqHEpLv)CEK&`Exs5=RWiKv
zzYPv=AA(KEQ*f_%1xhL{usQuF%-S!5(OHVvJ+}w`In@ihS7@W*6Fm%gW{7!ghWnOU
zW9w%-l+|>`5%=A&R$I!<-SNbUP2LzX#1}O_`Qr5JzUWx#gNj{Vm_2C_mV6t4vA3Pk
z@rNCzZL~s#!zSn((H9?<Yh#3h8ZK~E!k)1*n6UagJl^mII{Q6=^JA)@-M1VZzh8!j
zD+=I4Lmpf=*bjR=bHLRt3*r<rpy_xT4C=EE&WuQcNFf0}K3ok!>8n70$0|^3T@7af
z65y+I66`8YfqPHZ!=~(wu=C9ph<}g`{^7fzWXS>e<aP}DZ#x5(+lt_ihX~VCZo;c2
z55Z9V8EB4t2OI6$V8|F5tgY>a`*T(CiS#^rdZ{m-Z#Tt9gKY5i9A{j*&;xxP1RNzj
zFDjgeV})G^J{cT_mq$e4Xv=Y^d3GF{)<t4WS~&i`J_fCGgK<EgA-G|hfUl3c<NMzB
z82ri<e-7z`Lzk*z<6${0|K19>eV)RH=o_G)bpd{SIs}U8SrD=y85~1qL$A?N1$*BM
z?9N%i<Z2z5uGS4kFa08f&3Gi(?=BZ?Zl4v-pFAY!{@pHgOWY{b{Yw)1Z&@aMj+iGz
z_xw*tm=!JfyH6Di{iX_&q}zKp%n*Ds=LoN27YXW`YlNqqB6LJ;6rx(PgtmFRg~=^P
z1g#YXLa=Fx(5Lf;FiE#g=*W64JWTr`{M)DibI+>5&Kr7Q)ocN~^<7~^DndMr27~F*
z&_{DIOgo<fExZL5T;C0KRmY*Yr3h-=Dx^G79oWu#2dc5Z;qqf8%-S#Ie!BXh;oJU5
zgWa*UbuiB5Q8;teL>yT^6H}Kj!qtD)VBpVW)SR;(3l64Zee?!gx-K0xzNDhgz9bCy
zUyiGX$6}C_kv$g~fOXrQ@Ss^=EZ(k&ay5-GRrxaf8MhVwjT#TrM(Bdf_Va?uqi#a{
z)O1N@*(x!A`2#V<M~!?<o#@G<k;J!SDa$^IzJAM~H7|0=N$)Uq@+oTid66t?B{Vhe
z23>BrM_v6NQQfpgs@n06mQ{SA<v%-U#C92OI-|g970Ud#t|zZ)Q0JcawfV(~J}et$
z!1F&EvA?ewe+jnawQBwO!$MnL7;n$&{~WlkmlMz0<HRxhocMx<6Mt@V;JBgooTg>V
zlgC?gm6Zh>q?vGLdO!Z>rN=`HwfX+fUff}(!lwed@$WgZynggA`qc9ay)b)Ack-Xp
z?Q?a+L+{b{6*p;ia2fr&ag`cAU!wPPp4MR@eVuojvWA=_=UXRez}Mqcb@ezI_CG=4
zuK9H5(MgiiJwsPM7Sh|W3v@E%G6g=nN^-xLG!EUMxpj9be_IWe)jg%hyPN6vvyakQ
zw9#P6Uoto<&ssZ`dD3ZB7Ny;zpK%}7o!*a^?K9<*C04AFZ^xshelYLY03Nep5WByT
z=D9}%ep(>a9BqTyEXI#zS_kv^t;qF30vqXj^M_s@eBRTQdl%aCt8^=teQnH^je5Lq
zmnQdhRpHYW^8Efq2kB>gplPKIG$`vH>06dl`=(2DvF4PNJv~g-=DTQ{a~7rb-$>_`
z)=~Y2we<Yr5-M3cpP+sgtvNZJMtzDV+7Lz4mPb*>sc2fPKb^*w%%u4AxzsyxA#FUc
zf@BvZQi)wE`LEhY{iko0=6yTKT75q~f1F1*hfA}CS(j<=z%r`4R7rh5)l*naGucRc
zqKFHB>3fwTpHx%jx-Hr)36OHSM&{hu-HyXPxbnoqUTm-F$8&lO<Ldb#JWMg1*B%(p
zGFp?FoTu`e`l)>Q{S>YUpTy@4#__5lq0+8tIE#LMJU?y_x14j}-BOk)eW@<HELGtg
z`G0gX^DS+7d!L+wO31S*kM`DXqg`%El&><4eryV)y^m~3>7EuPZ~Y@KcBvC(O)rRj
z{%seN9xf3h6obT&W<zmDYP)1muOi9j6{{piRP-f%>(`Y&YU=N8<a@xU@sFCX&GI1M
zR~J_M_I$F_x3sXpx9w(y@3Z7*zHOduzGVj#1-XS9!lmMV!k}CmVblN*q4aE^P~j3T
z6h50Fcs*VwXjr8R73VXB>;3l#HxC{cmbw=Sc?#Esowl{Yz`JjRD78*u%SI)L@2&;^
z<ru+-(e|)>v^N~MFakPuO$L3-cqqP_3|$kqz}s$n;NsmAFyq=~Q2u)ps@Fe(Zwo%d
zpO-S&BC4P;N*70`O8bvcCv4m8gGB>}qubX=j8B?@-?lBpJy+La39iF;XVcOC!zSE)
zd^7r8*o>Xcn=s2f9i3Juqo>I-d@x`J`qhud@g-g;*<+5cY*f+x&qr8lB7*;lY}oKO
z60~2dLHL#JLfpb&-=|0IMU#Z9Vy9kDS~7P4y*M|X+NZ3diSZd!9JZS(yB(*)=g-sD
zL<vEbG>edXNCBUoP;g8$eP8yG4tRd2>E}8r_qz<QpQpgbZYxO{Ulmp{Q{zT`4Ic7Q
ziyOD}=0bTr9xhERW&QfGy1WtBuQX=0<0jmhWXeaC%~;jlj7N7j<Jv@19)G}ud;Mq3
zS&t35>5l;qtJi0*xIS!pUxyuKwAiSJI?HtQ<e$~uSxL%&zgjKN6_aInb6zKHuV|xs
z+g5tp^q$WCctvaD8mU)g1D!bkh<wv(X~W}(G${W*DgCLU=6iQZ-SRGZcU98vh`ZG3
zR7I6(_h`VR2c&wcni}Kl=);-E)N|4^Dp~%LzR0{G)s_!*&Fc&OY;LFQ7r)6<OO|&>
zDDb9BO5AFv!gYmeyuwS92VT?Rji|?lCk*&Ws}U>qFq5vc7JOp8l;?hE!y`mH4)t?j
zvoJ^g^Ujg~b~^H!b&fnX)qz#J?D$Ws4f{r0bM_<)HvMeEy$uc7^Pe8CI-tX|H8r?&
zdQX0wuf%a*<v1+!4^=MvPJJ(YppNh+YKwnD>w8y|PjDrDGOD1iY$CC+gibELMEvSJ
z-TqrhN5wOgWPO_Yx}T!v*C)w-z$qGPa+>xXJ3|+)7n1Mt^VFA$XhhBxdiPI4-P+6P
z@ZwvvYVAFG*Q<^WnLVRzMXxBc{1a*Ux6^0GE?O>;=P_H9`BRdVAI#L`d8ecrRoXlM
zerCcCYApHuUR&0+aALD?H)&Vo!7Y=#_^Yxn=P3anAA-E27`bCKvPuu&ag9E#``DA6
zy4+c5iVHXPvgaQCt+@WWF)xtU=YoHl+)=N>!;dTQYwh3k!R9l~x$=T?Up*wXYZYWN
zw}hs)6w-jv$0&E#KDvKr2N^YQp%o43WOOct%qJz#i<8UAtN$W8V;V>OrR(Uak#i_#
z#vJ;1eJ;(4iKC){izwP>IW@<vrJ$L~<acI0`ET4rEmAgWy+#f-i2F#tS03$=J3~c#
zi)cZ!NQ3HbQNq$13cB%v4wrwV-ZMLBah)8ymrIY;Z|YnT(T8Q;7;(}DEB@u+$Y(CQ
z^K9u14tM%<^MAv+&|);-Rto1YFULuF_=&vf$s`_paT4!WoXD+Zk$mZEC_5bq=5xOS
zSi7GO+YEN)<A<#I{tD?ejomc)+p2EdW%`4bJ%2$_3vbiIK1Fok$053Gxs_fQB~a?v
z82az`5SlU6k(7<~$a9<`E#CfCw9mXLE(kg;`cB_2uFp&mJHAX5?;r3H=NvK>qZg`(
zgFIU$0kiH(f-V$F#JC*EQ>7G1*Zb*`NohkRJxp9Av5H0#_x-&j^>gJV4N7gLu07tA
zHV$bhoe6cNi#Jr4_IyxX+V??S>GX(((jwnir8DNWl=gkxS^BC}K@#VnDrvgjTVkDQ
zA{n*UUb0BmOLC`XsN}5ccuB4A97&OCf<*FbgGA@|4vCiC5s7C0IZ46xGKs!cjb#3?
zw-TM1e<VArx{J!0y~P<j%*7@-H_^J&Uo1WnA&zpKBOaZeC}!7ZhzT2aiyIE*i%wV~
z?%#4(l)Lg$Z20n1EO1k%XJ>TiN~$^4KX;=O4S}@d_;_gt8%GoEQ>bXvR_cFgKZUL?
zpaUgD<2F=N=)bpQV%J3ts?z`Xx4Im**MjF7x$)XDeq5>&%3D=qI6z?`pT|TFO-kc4
zZJYUtkj<gpaya30E=M2BW&giBIR5cg&I;bZ`?mc*mNu5%{6cv5RX4u6xDRJ$cTjdc
zQ+06$xl|3J%3l)k=I9ZUM`xA``Z014kR?FEswEIoyA6UKoB;U+rBM303Zhm#hnaq#
zpwIjckl7-O_Xc#sjRU1#YOgA;S)h*7iZyZMDs5a!Iw-TLH(I^!EzKo*<LB|cQ885q
zZ%oj}@>iNDW21qu-Fl&6FI8Mp)&q+om2u5eMKlkS$80G}J3spmTrKzslYV{!&t)x8
z>GJ{ljd=qPN}Iqv?FB?$Y5?7kClC<+2qcwtkb1Ee8Z~NRMw7IYv#N#k7qxJqM?Lr+
zdj!$vpTKv!XE0Ht5q3{%23NJWU}W?Wc%#&VjBEqT=wHwz>4G!|IjqxDM1KQi)N@k7
zuOrp)@&XOa&y@PO!_v;{fIjwG+Yjft8Do5rDIV)I$ICw~@$3O>9NO9+ZJ*d+z<68K
zj<v;RMO&1&v%xP7);O)N6^4B>$J%gHY>6?#a6<z$&FX`(mD>2`i8^k%(-Q}uQpPzO
z6!3by4B9qzfT8hMn0oF#EI82wAzBTP`MVZY&b|+WWADI#zZKABRSwTTiST|zDF{I&
z0MCn|ShW~bYo)}cOEIiBy8?6bN~G6zmcq<Pg4U#R=<a?4g!y;io$Y<-HLDiF&7Q)Y
z@Rv~9^%l}~T47rD59qhB3tB_vamh9%bor`+veVUZ$!l%A{+}LRdeILH1XC<tW{CwW
zY;cjA0|sR~qf43_rgpjGnl~QU<m8E$?|b6s5>Nd4aS*yp_Q3ht?)XI86+351*+f%Y
z)C#f0?@A_EKeaDjiPyn~vAwX<q&x2ZEQj58|AL*zKSO|d6O8L$59(EwP-RvQD+XSH
zHjQ(z`*J?i*dKx11^b{QF&DN>*bbe)wt`dS7I+eu0o!~xfyLF0aPHMccr4}KDlIm{
z)Pb4M`%M<;JM91;?OpI;>psvtaTqklpMcDx1u$V#5xDh|K(<2#%>7UW_4o)bxHQ3#
z;!jX|?<dq0$>POwCA`;74Lz1<W0GQDoOjd&&-qzn<!uN2V=@3|*n8p3DnPea0eE)A
zFg*D>7zb|-!Cls4aL?{Bc)4aYF1R%cQ<jauO&^BfZ|A`{E!GQ7FS+6xw8bQMQ#^OA
z55Cmvg`=YsF+SxdB$mE{r+E*db1sA4fU}^aeF%c}vSH=$_0VhVQWzW^4Rt3+fvcVX
zw=<mJ{0B2oP}hT(&w4@F0A*<HkcA}uPGQ`+Z-V=#&%&UD55ik1x8vaQK?pASBowuM
z5#HYaA$Sex5?-E=hqT|ypw_n+bXV;S{T}s$4=I-Lub&g#E%1b#pg@?>F$Uh>p9<4n
z&xgSl3815r4%-T{Al7g%1jihQ1L+q)aSy}&!}nn1@#oNVx&=O7_y-;h$`}}~iNU@G
zn4MyYFQwVaggaiCus#sS=#Iv(FaaOYG?X1a7o9T};Wn2QnD_4gC_3-BoZdH%m-f)!
z+JjOlNoYLhx|NiM5Xy{XCL!6B(v~8GkWmQ9C?h@Rx+>YD$S$OXe3i;fe&_d>Kl3`z
zIrsRC_qCY?MQmkB%eSz5uQ#xb1u^VX!!njx7RJ7AoWd^d^kM~J&TQa(3${T@gAFc{
zU=Ksy!j;2f_?dA8#x2<fzpezr=Z}UUS=q=%cBXSRPbImy`B!fowv*uf`6zz<veUd?
z%QL=vv;<~P*Tg_QE0o5OxFmBNT8V>EYI``2)LMm;{NwPzp=8{twiDIL_TubAhjH-J
zLd;%x9>>hRiaNIl!wc@=;(zt%{^A|3a_qp1GC$GWW&n95$&-_&Dh1bQliO}X3SBDX
zQAZCY+jd7P5_;c5wt7&3jnGGP^P$(f{7FYCh(rmKX+^^na*_<Dz=p{*bx9D33;ikV
z=y-A$x+f_PuB4~nMBdgmwD*PyP5rJd^d6KcL}LK4%uaMjX+S&Qd-(FtH4NcTW6-Gs
z=vJA557grDp7|22Ul)w31IJ=|)o}d2$pWqQbaC-&WsF)bg_G|8;PbY8=67Cu&;RH9
zim#Te=hLs&@~(c5`4M@K`N6yE_;$l*{5ad!{DaHy`Qw*A@{@;l^T+l3dAD&g80@8t
zzty#{>xv=1VuR79!Vyi!xFgm0VAZ;5xG6jWZ|1GR)<X%n!fpp{Puhnst{%glN5%O3
zc{whAeFyJ<c!7yO+Hto2Z-J2@OP|YCN&kU9Y4{5L%|Q;7KE#!>e8!REM8OA<oJn&A
zMUYis6utM1C5L01=xlNvP0fp^7m@LlQni&_KCGvjaVsfMe<4jO3L$>BuaGMmO_ef3
z=-(GDvUoIrP^AfvRr4qoGLN}}7dUOB4=x&`g-y-3`PRSTe2>-+@r<;cqRkV0xcQ?G
za~V(SxU{K~5a6N<v**~ta|00sUz!LHmxRIf4bgB=B@RwfGFUF(2{BgtprP+D9G5x?
zgM7|I*|RG!;5x#=-*-Uc$P=hKBlPLb+o5?tH{9{*hs^KNZ0R>eHc3sLd3fuxJ;_E)
z;-&?g&|$;ow>z-4M@KUD*OhI0%dulaz1VXc&-AxXVEbnIvmuTFtm2D5t4<Z}coM#h
zO&!Ow_5f?BcV&i7&dlh(9c#K{$*QIpvg}=&?87-lcIvJq)7Sb2N$T&xx8gB)33hJ#
zxr@+aUI5Xja-qs|2fXgt2FX#YVTNotT*wQC`}#g0x4;8_g*n6g?{?6vI0SYjnZv9p
zCNN{R5%lje1eX>=*f8E0YR{X(1074)yw)1R9@&GCkAzhV-9Y!OC!Fc^hg`quF!btt
zSUP?M{FdDeT?3L}=+I0kk=zIVg0@@JTm%Os%OJOtVByt=@M-oN*zw^L%<=gR@t!h_
zyE~9AI<LcuTTIxw88%G$yA#7)cec#Xn<-D3$PDE|m|x#q_P28(yPhA(Qf@^v)4{7*
zdD3e3i&iq9s^!cuV-X7(IhUpV7tFr=_F+5Ex-s85_AFw#F{>D%%K8RKu%fX|uzBZA
zQ1vW=uKihXVAV=Ev0xmCm5d-HzmuD<Qp^=Kg>&bPzKTu-lz3$9PY?%dsq+I{LwFhM
z9lWp28GiiN8b12dJKi<n7w^179!XjYODCD&)&oPad4LN}Im^(cEC4|?1J8sl!qubK
zApbQUXI@D~`G466bqBD`?F8C+7vtpLS1~HA8fCUV#=SEdP^R}2w)_9WX~U%Hv9dBP
z7do<1rwmEm$BHbZhmj|_P}UrdluO6c?R^s|;i-_HbDmA^ar4P<%R(Ccdohi#Swg${
z#k8q5f~NiqqnBf6kZ#>1!sp}Z_bzub^>?KHi56u1S({Ep$kPIe?>OzlYb?57iNXJh
z@W0bJSW>$c%d$hUZMO?*SL<Nq-)?@e9rD{wW%GmoP2@{rWOz*4F3yK{H`>LnqMHF?
zQIV|@cX!<gE~-3)%iX<^TQ(t+J8W^7^T;{Jr9QjC-8U8T?**?pkG-F{OD26><P}-i
z^;{KjyFP?H7xulTVX&**6_#xn4@o1ZLcH_>DEzk?I*)7v|F7x5|K0=okMiODy0aiD
zeGLLP)<AdLQ#c>g4DYY@K#8gpOBN}!y!YDdX@?0LA2^g*esN~Gr#SX>+5{F>9n3yo
zn!}zpE@GFzuVCh<Vp+}MjqG~b7WQuNR<?uN%+6n3#}@1oJnPSkSXlo|rfU|+0<Mdg
zj@vNSs%^wt%9NOXUk|*DeF8&fUV=!eJuo|XB~-p~hrAMHP~1RV`s8r#VtIkcZkb3N
zw!n%X(vi#uSzqPvsW$Vm=CW8)qKDbPZBW9~74O{g#TyiYpB5~_&+pdYUdL^CBq<d$
zq_gqd^<2DhB_BV_pT?GJ7x2#0>!>lm8lx9K#N8b)u(k68I<NVPZn1yxz;_{&x=4|t
zWYsD6wl3YwH>L$!tY|}k9i@DCqCIoQ(5giojp+2EfAzj()f+%5Lno2n)G1UP5=`HX
zf@%2P$#lMaB6aQZqu!z3RFlV1pyFuC$`ktL@q=mNM?=b$)}#`l^BAVnk3NECnRD_v
zCg<M7X~~zddFKgitrBvLb}9HSXDtqLo`=Sk0jS~chB2A8*l^bf<KC*{^ddR5)avK+
zD!%d~w43?kA71g|?@#y(W{>#69{2gNL+<feRrmOY-w$}@@>;&-`!l|&pn;dDZs9X0
zedQIW{N^_;mcrI$irC_&ft#BQFnyUNmNyT><k_w`q|F=Ca)Oa<2*(A*t8v7MZ5ZvC
zfrnD|V&1i*==507F<x9p?Z(@v@##5kkZQ*i`(NmBNrrw;R;4U~5j3{ff*#fnqoLhn
z$j^ElX?h3IA&r@2<r_iu2coE^B$ie?Y^H{WI65k^jXK`M)4CaPWZAfZ(%33`rM!sV
zWrWh|Art83<S{fLV+a`qXwy9zDVk;5gz~$2lq)@qSg}>eih2v0iaPGLtKw&AP3M1(
zm?v&pRxEO_3*k!s6moXTZ@4K!&(YG|5aMziL4B(yy!V_coZl8g>)cpK(N2J6Z_;4Y
z!Cm0G@Br);GH$aL2|32{i?AW29CUrEVb87y(BttOJ_fvpf~wDueds%E{4BxhF3B=F
zs?0RcX)u?2dQ9=FF++JPRxR9p?g|<9ACp{|%L+GEtqknzKrf~?Z9FTz<I8?b^kZ+I
z__3;Sek?xEmo0nd%^v+4%Ve}g?1#r_W|uvjEpZ&ml$km6`lQdMPf=$BkIA#U-~NGX
z*MDHOrV+jsJ%lr*JS;zd0R|VHfV7faFuk<{rhiEQOOIF>Q@9W`2ZX}MF#$r)+Y{_w
zyTTm}XYj8c2B9y9LX?L!*fkD@q%(uz-M%4Um}>)vkK2LwWk*<0GZKnk2>VmVSZI{;
zgUMFGP(6JPEIF|R9Cc#h!JByS3`~U|3$x+gumezk?l_oq2-(c8s}NOP4LZwe!Rcco
z=)o5#Tiyq^ggY|rRbgX;bXjJwDf^mb!@hMmu`9mrY<c`RrnM-LmDNmR_6z5*bFvZ4
za?w(@dVCaH9vRI7Pee1g7sX~iTFT-sEnrDmvsi@C8JP9Yn=LhQW!EOyvGSKjj5kwd
ziO~|wSECuKy>7#T`{y93IR^?BYy^I15SUH0fj5~la5v~KcmL5&?#);i?xEay5k_gb
z>)*=}M;5E{JJJLBRlgE=iG_y+kGYJO)_ll^3g6hT;9vYlH93?ESI0S3gOHm%81;q?
z$LiJY_*CSBPfiEp#)tESyx|JWJ+%dAj!(vpTRU;v`&@K8atsTV&S9eCRotjkjfK^Z
zQ3V=tKzavyo%n-_RWg*SA?TV{bSV3T2_3m*P4)6lWIDl(PA>GKJx&1>uyHCm$j>H~
zyl~p^V==vY9Z5`e1&PB}(ABfc>FK*AbhAI4QjBKN<;9cfmC<<OQd}wNj~z)rG^RCE
z)ac*~N%Da<tfYImBJBcdJkQ0nhw+%95Q@@$!%=gA3O;gw!yEP-<#%?^;0wn55~nON
z5#QLXE~<8@6S)Qq;VyQ~<?4G<xp0|dT<eaj+_p~-xGm95+})_}T%fKD$p2P>760^L
z(>Mz_&~6Xkq{cwW1uqz@Gzn5{=D<J8NO+~a5oFW0!?8h`5aG8Ej$0muQ5OZ6O@A3Y
zQLloyo=5OVI1eVdc0m1+KVb7&hRt81!j>>yRuN&!s;X?*udyQ-SMARH&4hQrZX!Eb
zGM(kEn#&}e7Bbzl%UJ*673}$gl`KML6}xE~&2|rrWX%sF*w!tx*$=-dtZ4msCLiL;
z$~ilhk#59p?^0naeE&heViPpKxCt}l&cK3NA(LGe19KyNq5q~CJPZB9z4>~LJ5srs
zn;)jh>757^S$8Uk>jU436PLO0E<v%p?BZO0>at6`YW{sbCbF6La`?mR=gZ@mb(&Z*
zPGG>;+F->5XH=`?@R`sJ{bLt`6Q@UD>G;)nOer26zoua5jBLyZIe_Io$8p4%Vw~@A
z4b$FM<D8&c+?>>ij}toZuJ<1yvnWHJaY8n+Lz|io8PoFkA#^UzksfauL#IN<($?k)
z<oj(hh565*_gBN{=AQ_ve7S@k42mR;-H{|=w2ayc7tvYA`K0=A28}G7L@T<yX-%&y
z?UEQq%NCfDw7|MZi<YJspD*|;u}<hqT}7XYe5?^zAH(M_MdMaa{C3k6C0Zn~*6}vq
zH7$qN+Tq7XD|d=Nt#B5nEV$rdo>?Hu%2VJXQr$SMSxdOJpHexCCx^Ji>m^)WM<utn
z<SFMpzLjhL@`G#qPa2{JtH9bTx^VZp8SL<}gH`KBLFYVAh&Bv@Xnr>2&yR#wqfJnp
zm;?t73t_Rv`{Bob$KkO1c?h0W4k^=b!+#^6!K1!ruqp0=r-IjhF-(b#OwwW*^2Y4+
zvmq?t<#1;H&5d>a9>)xBPGlSOLs{3=c?@SSVeczeunn0pY);Br7P@>LyEAYtdmSKn
zL^jKr?v(}Xht&+W`$hn}SjVwPcOBVtMKc!OtHwq&OR!R(CRos31y^NGf=p97Z1jx)
z6uW@Gg)&%`-Q|*&C35ecC~%i;u6tZk&KDPrx98hm#qq?Q<fnw+<trb4;)CL)aZ0%c
zw)valq$T$Fo^wU_K5x8OGX=A%!*Hcu6mD<Yh)V=6-i4DH=$Mm(I^XiJ;C=xb4?B-1
zOs=8)=_*Wo{1E3I5WEWcHtf;wL8TT6k`pp<|3#@%xvDOGeq&5BHwV*j!9Q$Db)oZi
zB3c+bj#i8O>3qm!I<<E?Ext38%BtqjwOL{Ga8(#h_-_t1R?Q^%K8;@O4WfxRedyIW
zjtY}T(&mhzWd6^X9vKN9lBFEY+W8&(BHyBq-5ne+cNq(Y<fG%M9k|DSJ!*dm#i9fc
zyz;^V#dnmkc}6FnboL(KXnltFTan2N${_DZ9{i*8I=ra1UEEc0R_vL&Li{*HL#%jY
zYei7Mj{A<_y&he8vZBb}?xNbMD@3EG>=YHY6o|&%Di;L>*NQH^ZxyW*_lb5MP~alH
zwYk~b&A6rOhjE9!+_@A5Kkm}!8JwwFBzOJL7OrJZDmOAPhuh+u&js0@<3a+<xx?jm
zxvJf-Ij`SexHpQDpd_yhYn1fhp1l?DsUtw!-4o7*2g3%lMX)q?BkcX20{@xsfwBe1
zVELmGkc~w!U0Mr0*FV7b)juFHK$Z>Kr_N%tjF_*Wi%tz5#YVMxF_W^%?BupEX83nG
zE2-MR@`fj{f%Yj(QZ<8x?8;<s*6w8TJA{8Prn86-N$iqy9NSc~f*IM*Vud@s+1))3
ztmUUJJ2Y2<{XA6%*$IX4yJkJOjJJcx@;lt+X)0W1Q-xTu?g0P2<PRUX)dowS1>xsu
zF?eB28rt5^#dBJP7z7t_*4hf3)Nl(`vTJd`xmUP!ywC|>^%*rhx=~N?As=-}(9~Jd
zbn}!PDF_{yj%NdDbg3G>UZP3zUD_1pE%bsT3}}RpaMt}~Bt&^l=u@b`nKCw`&MY%J
zecnvS_?pq(4pUNAHYE$egDe$t!>2L^k@6OO`st)gVVAV%qnrj^7^6ytla(odh63fx
zk|n8mQj{Dm{Qbdy@K}B?2F~t8=f$7#^u1P0%4$MqaU)jEc#Q*=y}+a2>e0XF2|id^
zhl3+)@xq74==|a_{_?5C2Io4QdEg1|Ut5n6cc0^^tXF7X(|~;ff2t*>1&_6SME|n?
zaQypjG!6TOt8D+_{6m7rR4GGO`sJy_Uzvs#sL~q2E0vt4L+N??q;=Pj`k$E4u=D0L
zI>?Ilo*5#rh-_%?0$X}^){Y{Q?CI!7d+K^@Pp?MX(->1bT9Pu90@hfQ&lf9F|7A{V
zkDHL<uR(N8PLIMGH7PVhl~l}>X!jXe@^>9T0i}PChIiw=f1hxb(+6yR`5Kd?>QVRl
zLu``~_>o_#ux>SvMS10Tckxy9dQpl2pDtm{p^NzB>jiXudjTgdxrk@dFX3m;QoOeF
z3f4znN41v~$m$43PpiQKA#2~)^B4mapQG8426Q{$jFBTdFwnLK|EBce(qlqK-$st!
z*C~<AUNy2=qD>uOKmlqdbn><Z@uAk#cEOH3#Ev8_aBz%IjH07cT`4Wno#LN+(8**G
zg|8I4Y&$%t=D8aQEFk(I>q4vghtv59!gG-jGA}OX6fAEj<m|O+X}b!=+R4-P7)i=G
z-;1N3v}1Pc8|*55jBiig#HiWjc%|tAF6B;R%-W-PB>ez7ZOFkSPT)^IOT&p{lF@r!
zB36#yhPJJ7=;0D4a2MjR_h}psGT4S1{RybIB?(z>Dz5a~fm8Nn<M>Si`{2((Y}P)8
z-49OTE~^r3Fusac1aE5F-#b{-`~+*G8<8FPh+CHRqDGqp+0K!pWK9*a`>RD>Duz@g
z`0X0uL#b}#aH@(JO|K<6Iw<s_uT)JS-9r;;)UGMiv`OGLxQ5W%vms=~Pp5ASrqakm
zlj!&=e>yJY4MRdj^saOybul|KbuuUI8@kk~IgpH(4xq><U-4bkYn;+_3vbRW#nFAo
z@$-w__@OTm&FZ7@o9i@8&;=Yi(GIVp0cMU@!VMe#@Xfs+_@9>_@x!CUyvm#N{JV<d
zy!VU!d`xdP@7I#f2W(E}H{>SrgLD)4q{eOhix&y}g`Vwvr)4U?CTs`ac61jX-<Hd_
zJLU5Vsi*k9t_%G4bvJl-yW6~pQ9Umc_JLoa+|4H$55Tr$CHz~bjg}f_xFOUY+r+MD
zI>Q%FcnNF&{-r1tyBWLxq~Ju89F!fIj{^eE;rZBdoP~EW(&aUJH+A5j+yC%Ej{;>L
z(xTr_O=wS=EgdKrMH8gFXxy40GR0Yxc3?40Jhz%|<ZPx7UEAoiRuVn>lT5c_Q)p>e
zGSwYVBsGYmXS-v_;8_H@R|Heeb4K&U_VhqrpCp(xd0cyo<twk^xe>eZcS#sJo0|$c
z_Z{BW!i~?D)bucZ?8<#Qe2%+1@H=<(<{;3C9RpQcf*~K43une{@a<Fv^d8v@ni}~~
zY;+n9H(Y?=CD&m<eI;BUeox3XKY?T2ufZ#_89w!Oz?f6L(6_uFG76*^3SOILt}<Jz
zuFj^#YqNcg`mD&<m>nHy&O&qsv$Gd%Sj``ych=;<E=+e~fBl`Adg(|Op6J4^U2tI+
zTwIuw+DKL|8o_qfII{ES?b#Wbp^QDZVy{P<vCqzi%=M!Vb6Bj-jBhEi(+0AFha<rZ
zpZCH)t<SK7-a%9MGpG|k0F&W2;qKH5Snpg0Ew$%il4BA4nOFd+4o4yS{vqKUa}b6*
z?uX9*_Cesxec-%uAJp3ALTTE5Xih!|jb?}8*tDZ?+Ohy%q@9KpDaFubcp3hUzYfC{
zNVsp`26?~7aPRgDnE6b|5wG|R(=&Tvinau+&68m#rztTBS9R9qrpv}mG-BEdESSM!
z8)onA!17w1*(?V^^OY9PT|S=dNuxKrbJ~{;*y+c{uk~l+g8W(IKtCor<HNFS$1#rs
zzzP-JSjawSc00_T-AK1$@thGeIHARI-YKyheJQr;T@PFv&<qprK7p>;)u8dZ6q2T$
zg2;x0;1Qbzt!7DZ?b>=63rirhdIqd>2n6XRo)9zL6}b0KaQKTI42rM@IVUT)2^Js|
zXAaHp%t3OxC2V^!7&PY$g_nXZ7qP$@jx`Bvin(J!``rZ4SsDz3W#>Y?cqwQeSqmp$
zZG#`lX)yQgE-?Oh5cZ!d0G*K~uqe44ww<{JzYCwjoXt%T<In|zXG<`hba_^2pw31~
z8n81CLccNFjwLI*F!!xOr;~hG-LXkb<x40t37^NlRV`wl??<v2k7(xmdL^@5yOITW
zMX?-@r7SHXoJFM0VAC2WGUYR#Le|@bt?D1b(nssFPvaB?@A^Aj`}-0++{NJk<v2)<
zONZlCi{ac65!}|(gSl3pxM(cm-k61R-P3=H;uiOLsQ6D5OKJCu&8<E8!~5d+bBc$A
zwc`pOF8!EynbF2i6#wOQs}yj1oEEydn_#luP|O-R5{m?m@X^!$_-Aw|j^3~ke<#JD
z_KkQPa48j)op<5B2?sG%vH(rP&*Rl~*D-cN4Zd#__Hx&ExOUEeIKuZY4%i?|^G~ag
zn~g605^|TGZ>=ft^KkO|=1MOgd6HGAKef#YrfDZ;(*B-#G(de3sf(AA*3C$A`x!~c
zU6#?e6^p2`a2~<8Pzv27oN?pEk+t_2x@TlZ7ekHdyRRAzA3cDK?zE$Y{6p;DdKn`k
z^KeMdcBJX^QPIgApDfYGjpA<p$(`%`mXu_^Mrs7VxDmx22QOCK9yVMgy7^c%_mwf%
zn;FCf2X5h1BXhW4QKvZNZRMO>*8}d&fOp*ZpIsa$HvpD#N<!vd3j&TAL-#*x(CQii
zc{@08`{D;VLqcIj@FJL(F60zeC4i=ThQOlQ1J%!tz;|&Ggsv)s^52!POz3Lnoo<Bu
zmtUa!>tD!REyqrW3VqFdeHJ;!f_bRfGi}9DtW=t@y7~$1;e=q;Wj&jP4U1quH6xjG
z)=FkFa}9GGv6dAz#j;+n7-r|Uf(`n&h^ZvbVcObL*hdL()_Z&uTR6{}dFJV{1s4SN
zYD*U+PIv;_`by!q?*VXG7zc8%f?)mwOPJ&Mi<@Or!f6bj#i_O55xwhve8arup?I<c
z$5%Kc^QJS-@G)uk`8v<f{Co*%+`nHPCmb_Idp}zQ8im@!ywLh;5ROQgjhjlAqT$?i
zXf!PW54}voj+$L)F!UgXshmKyE$1+L+ZEhyAuuBs2^_#FFHz@{z#zBjM&D!!QoSul
z6M|GpN=KK9luYP=$q>qSbD*PMqiCUlaJSj#P0M!$(5E+3sKPsx>JQJRd!=Di95$b%
zHqECS|Ah&inb}l*HH5xdPNoeS6X@1?ptB=gsP4m1df8`82P!q_^D0^LOY1@D+BbMW
zwg&SeN-$nG4})D&@$jJ)IO^s^w5WH&tP6Vh%vlmgN4(%a^<3mXUlRHc>lgE_)0}xl
zkmarWu8R%#Mu-)!-mNe-4sw6)-sWKt5hPlawo8<8^qT0qL!)SZlmusNs?Ig9GUIv*
zhjVg28RvF*GS~hvoLgP7hEoho<a`4&xphBtIn{+HIR6VJ+_v5dZqda1-0X(eTshyt
zY3Tps#w061eYlqJxJ}`QzC9ROxIy;v2@tJ46Sj|D4*DD8VE-s#O=#K+Q+FJPBA*NJ
z-4elR_+wDs@E$J6_rTFkVV#XrVWsEv8H==H9;b%0P%jbd()DBhU#7EBaSPbg&Cx7x
z+eRkN+QxEMCb6qSQW<VYW9!_~*h1eFc6nbS6NhbK#Y>{u^ec0j#&dsGzj!oDRI^|g
z77t{eU0<PQRt>~mI}Daxt6<4BdyrBPbYG8&T-g4!8-reX^5Ugec|#8=4Bk8#og=()
zd{{V6d%771s->f6z+N1ECm(%J7U2`w%NQb6fd!Xu;_qP((K+E6b_#ckGaaq?TJtMP
zjroC<v;Sc<N|Eg&IXWxk<echN=?rNS?a`%gK7;6Ntud{&G8cG{R%9({O;=V5XZ@{q
z^w)S8z43OS<^MU5f{^`oJK;boXNQsZ5PMpyZ%Z<%*3>Wf4h^#AWH-#1w4@E_L#{R@
z|5c-bp2EFD=s`AL96&>V{=tHpZ#eVgM-;7jk20HHqK9%F#ty%SaXr;oHj~E*%dX=g
zt1{e?eo^q7&!bexISeU3gA1yQFg{xFscsbEm%=mn()Jv>_zG)k-v#vaD#d1_YgnCJ
zff{j@*d~1&t+XDZ-<hZAb?Y_SE%<=yn?DOV;vSTd|0{SDQq-?1`1@)Dslrys3{Kaj
z=oCY$D>kE+>w{_E0f9Z?>PRt(&NNHlcuYe#vf3`9(|JJmyBV$9FqXDkj-~WZLKNw)
zh=OjrQR<gbl<GTzE_d3~$v;ELI?0T>&lylswkG`wRHk18WT<=RAGBZg1(yjNjSCm*
z5N6b1%fsuq(YOS6O)kWt(T8x=x;>b*BoocK6lC23)93Fdl)1D9wSTO@vDcPi>&L~y
zoPb4mWA-APkg^z~JC|ZqW)yCjwHoWDt;d@laTpYlh|T7yIAmQWMlZ_2Gu;Q!+4LBm
z={$|N_#$?vm*cqEH}PHLBRsAC8u^}9Y)|aQZ?h$+e!LvrS*Jo}t=i<9Xe4mhtjJ#0
zo`jMj{Tu5}n(IBO-DLtbObVi}c~fcTCt-%bz}XbjIEOa5&ZS=YIkd-J@b>Gc(Yp6R
z)U(N#mOln6Q5i*rEA6Ps#f+Ttv}wm11>$D*p~a>aG+Ocqd*@uou(U$-Rmj1;9oukn
z%tEYh@WqXij+lgc!g*Q>&$Kr29fp;>o<jkD0Mq$_UzhS~eV%-wtU14NoiuNqSubvC
zJ0&jD+a|tr9K>~(WW*=zPgHpA*QkKf#csRL8++&_WO=AM-S;qmA}RXYKS)$;I8t=v
zNPy^OXN2fP^cGRhjdao3^SPpxu7#r8iI+u_%c?}mKc0v>R<wxL`27@F&6MTdu2APj
zZZ_h=4iDvOJ4bVgIX>K^v!R^NoJdY~X&iUtP&)UmX&)CgwScqLyv*5oRCC9E)N@Wt
zKXM%QbGcedFuOw+GNlH?xpgDqVx%`{NQFY_yydX?MLYxz%!Js8gJAvRG~~Rv1~Ml1
z;AKMt7+8ISNB^W)@Kse7IognUtg&H9GXzG??Q!g1W-xmj6)tcCSFueBaV%(U5{psH
zV2!J@*pTquEOJK<OE2Bc3NB|c&-ipUWke#ICKoHPD#O^;8Xq<-(}B&urp<Kae!@(p
z8i)$t3v+^|fY*EpNK=@^NmQkXGv6HH6^_f}hGI8#%wB?H7p7wFe+RMq;8`p=UXGVX
z-oe04^*A~29nL8IgqBU+*gLupWm_dlajFbWSRs6KW0Yv1z{7THSEYzrbvnOFliKfV
z(Uo`FM8yKDV3aQPZ_=gGt-AD%>C)GmI`mFOhrCRM98SL`MV`~3?@sD8H%FDWJ|9Sn
z1}Ky7AVmtZ7CP?^vQ#=s(0RrUpp>~16sYwVALRT(PGBUg9n+2Bk)5d4{sqrm_>373
zgf)n37kq>^+&Qcj%g(o8{f-uNywig5^IB1QS{tq{Xh*ZaPgon!felChL*wyX_-Txw
zNyh%bYu|t4j<S9%pDsz$mrGG-t_&S`Dn}VciZmulnZ}X|eNa=UU(+;6b%&q{2)SpI
zVtpE#K8P~hjc9qfF^!cpr5-smQo3tKFUFcvUX;0@Cz#X0dNUfSD(Fr>O=wGwF=e(I
z(zk8{YN^ztBQtc!x=NEQ1n%!48x?vgJWn}Jp1jA(kgxv$+JCnnzu5f3#OiKrE&LBn
z-+UDKX)X9E{5=NWY`|6fUSUe(bG&n?9@jj7g1<8AP>!#~%L3OtBexa{M0Hp^=L!D)
z{uC2sp5wRVmzcTn4SF@a#jMjGaP^xuoUyV46~ntQ;mmhz_UyyK8j{p#CQZNn<ftS~
zkv0myi?*#gt=_CfH8*uB@wWkOR5zxN|4gayx&=)Yy3<D&S<^Ppp_IkjQfQqWU0rQY
zLl4=Lv7o28th1xFLu_gO41tTTJ%skmv!s{aX5>|CL~R2Ns83OcVg-);E+JFCa*zU*
zl}OXbAPI^Z_!F~v!5hEVh6-cf;RC0ac>1)E?Jv2HcLQ$Wq2x*&I!}xX-&{w9-vW>O
zS}7J7T*lu9m++A=bEBi{BL1$rgt>O57-e$>ovvQP)6Z_8U?pScwQBU*a0dmY2cM=t
zMfvBiu;K7~+}+rY!C9TybM_}b6*^V#BxGn<wgRbgDikBBNp%l&Nio-u!X}$hf}oil
z3mHm><A>4osZOMUBT1roG&L!?k@%K7ov9Vr%!VRTI^sbOrnu7_S66bKK8oI68X?RY
zaiH@{hSG%3mh|<HF+DETBOD<x-?Nk`vss$v3wi$)LdROx_ygKmKSzrf_wXnqbXt7{
zF;-wR3;Roh+!0LLmy3J)cVYeLO#BFGcttH4?;cIW{4d+^^Otz6$&1IAJ@L4)Ya3Q&
zCSuN=B+NgOic3{@pqpMcYF^)i`+5)HuY37eFFJ{eLB*IMS%$V##Te*+3s1B?7Wmb#
z@wQwmij%s~?$BSnXevWrE-I1pCJm~I)~Dz3rsN^;^=!@!BiY=Mv=Q9t?Dnx#<>^EB
zf`v0{_9W_k8cdUaPb1Y2(@A!%FejyOs=zXzOir}{)cavPWmW=B+%5D45*+ATjTQaK
z8bqo(>a;3ZmKIw4#D8TU1Wxv2<O3^k#F;brVDv$Zk<GxK5u0$+hxr(*?2jFLM`6kW
zE4(pT8+W_QVbITBKJWQEzU{$7e$O7BkN<L!-@pG9?-8EQFVR21-^kj-&pp12Z*&yi
zGNWwXDR>v(OF4XJXf7|Od5G6-KgRRVPxGUjFYwNq<vcCF$&Zq#<sDu%@S9XRc&AH$
z`1)vB^nI<0{niFpy39)8VhqP#6Am9#1fb~jY`oMLg({!oFl2B#`j6d<ZUM(IWZHRz
z$O@dDC-Anvy}|2i{=+=sT^p66NP7lq)4V~ZbUxpfRwa(2_T!$UQah36)XpU3*^6kn
z$tn_E*+^=Q@pS23A~~E-qL@L+lsF)X{sbk^cjYaV5VeXf=qw;Ub_&(&FoCmWPpiW8
z$wT<v)MA@3R`&+pDB6c^8q09)9a~Hlec<zTSMio5UgEy?-=aL>Vwe6(@WYNNf<^rh
zNM1S?3@c~A!jUT>TPXpyyv%^=!F$0;;|PqpauVc*l|V)MRoL7l)Q8v|h%2oHEuUAg
zMB)RyZ~6=dT|Mx^rXOOfrC3^mJp1B5kcss**pl};tZ@Gzw$;UyMHE@GX|2{w@0A@(
zi*aO{Cq^){=`QT%rqOJUj4PY?!IhOLxv}0@SAp3#hP_i7#U{8pvkBK6S;20Bk@<QE
zn^$PgR1}Svl!-2D`>V#3ctuvcUYgxb>I1L2ozQ%^84k{W33inaVb<en@H|)!WOoUq
z($9d}wG%M)%3*Lw+z(3(_dxN+Z0O9(go+IrkfxdrU#6x(txp>4{g4Ju<{982nF$hG
zvLI&fZUEnXP`u|L9N3r-GyfDof%aJlzjqNbjIP5c<w|JWe-~7%pMZW^1DJnogT-&Y
zLFKG|kaLt_zL837_$zfbJxY)5GcaMd9$2x&)pkt3$BCsok6|x$IJRkn7aQu~%f7e;
zu=wC0_I=@Gwto5)W}`NR-PtyYnG^-G*J%^j(-GrXZiR^X`i^2B`iC(+rNQi<z@xqO
zL4y@3E3i%5`eCF0XMuD30&F^KK-!`V8kZD8>a%^|x+)ExZ{7skRxX57#gn1Zh(Z3b
z;V{(L5}vLQ{H9nHc&{M~=@a@nHS=z+JN6UzRIiyk@a8RdFt35j8{NQF?`h;V9e&Sw
zk8S04t?A%)4DaE(SO4W=Or&9<zapr5tHW7MeON9wgT<3<Vdu+{a3X@iP}xA3`d}t>
zJzNT4x)GX}B|*Au77U9#0Dn&vK*#M1;PYGzHjVdzT3*A3?$6LD{};@&<yfAeKTXmd
z#HOvYV(!+CtXaX0&HFKqDNzvXvzy6={8+$d*DYu3m#$&|E!xQVn5``IXdJWjjbpiE
zgn0o&*Rqh9D8~7Ov(4Y8vIrpqQy$^Ma&@g(<y=jcbyAY)?Rp0{^my1Gcmy&x#lyAz
zeh`_j2klBvxslmhIF&zlM0#$zVhsxm-qkUUSBS0Pi!?fTny!SU-;MFy@Zs1PI2O%z
zPDZ(5^97dBN{kv7hYt#palh?O45-_SsYODTxvCI-Y|i7X_A98aNa(ruE<V}y6l0{`
z;zHq$W$f9D-?mFo@gZ4CY*ME8ewwuZp+23NCHPn^gDG{2Jym6mplRF2&@d&TyQ=I(
z*BAKEvK~KraWIfpiGs+iI*2|R1X1|tKzeE5N9}jKDM`RBEPUlk7(0UUC)?8dTys*0
z)h9O{HClXJmMW5eW1Lev)@^+zaG7u7tm0B!f3FZvN(&s|c^O#I9EUj?%h7x13_M{o
z0r%c=!&Uwc7<9lAO?M9xqJdhtMO_7(!W8iOR~g)NN(zUs8-PiH1F+6W3e{grWBq11
z94(=Qx8|tg@?0&PS8RYPC(Lkw;1j;~cES-d?zr=&H~Q|GjB69-;-mcK82@h*CcI3-
z|Jruq{?h$I7w!Zuxpp4Sq;Ft^%N^W1{W)HaY{jUx-!bmG6fG}Sreswe@~kzX)b}=Y
zNth$BBS9oE34KVeb~0s7n?(i&5p=sYl2$parp?W3=~3YZ%5vFAqZX_uMV&Py@{gjY
z<`Hz`aVVLc@Td8G9<+DtFsgiSL=U)u)V<;tW(|9Zn?_#8{Kh=|9ubdAUQNWs5@rG#
zyn_$VJ<K}>Ir5(-d5MjdCx{LO+i*!q37n~VF?YY^DOaBRle_jx8T98GLWj03$c`EV
z^}XIu5FZTPGV|d^(F%B&vl-;Nx5Jw`J7B!9R&5x42)6JAV0)t&G)G^Bxo(w^cmF;_
zcRmNN(;wi$_pgvv-v=5dGHi~9GShL_WQVd0Set}7GudFnX0|x8HA6--6*G>#EFQ;3
z6!|fuPeJUk*Ho636~byx&R`3c%w!X8%wQ~A=(;xtvy=Qp_I8x8CPgt8l{K2hKN`kr
z!!22Sl0NfWp~5sLOEIJCo#3+KHO!W}1*cD50;{b@!6rWolyu_Z#mxv%lJbX=2hKvy
z#T4$R4}_3~zq!1V4ICs_bLkh0xu-7=a%V53bF<nua-S*|aAnbxIORQzJ95vNv%#TU
zi?s#UbJK_`3p3y>?&)zBZ}qrun+>>(okrZ?0p{GbJ43j<x5GHwv7@+cJ;06Y_v1D!
z3*lD!FXYNg*Kj&v3EYP24DOZQJ}xx+7?<>}n2U?Q!RbZa<Nj5>=DLr6;eO>xK-mN(
zxZbA&>uW3^f`&uCJcAe4Cqd5laJbX37Czod0{-wW7#DX0R>z-%7ng59qwNFXcWZ=V
z<8M$jO^Q7XQepK!_1RL-!K~kK1iP^a*z{ik>`U%U=J9tiJ9cl4z_N&Ai+i>+eZw?%
z^j`*BFgKH#%Vx5@kJ6cUaWWfrKA!FAS<U2+%wzW@0@%4nF6?2Y3EL;^sm<d)z>pzV
zVE?2Y&^q5AswJgC!$)|pTnaq`=X&#Z?Q3|`>#A7vV-&V|&q8Cv&3I4f|F%jW#L=sT
zIYDg~u_C1cH^tt<I}aY?zrvTeL8l4p>^`CHk1mwm`U{UlNKpA#DVi$yj724i^q_el
zRsT?<!WK;`KdnQ@Mf$Y)@F3EuG9tr56M<Z4Mh`O0X-KLCp{*r#uCgT8S(db>)q*<I
zEhze(8O@$*N;zwcY5sUanpvk$_9ns{sZqi_DJyjv+bwiV&nnXS8FD12Ag~Qcg5K-?
z!I8~9==J?STsQM0#+Wptk^fsf^YIl{^*_TySx?YPV7^+6d5Gb`_wiNlU92&>D|AEe
zpyj_im{xWdS9jh+`7;mDvH1~Z?ytl6+x4gy^%A9$8!$n&2?M3tFm|?(i_`mt2KGO3
zd`>^E6g=li2D0?(i~{)w4I~)};cR+Qi&W?6(UPBo$Uauk`R|!i?<XPSecPHcrrMIB
z;I{__IMCrEj?}zrI6V;$rx}}vQ(uuIX^nTF-@<yW@_Z;Ac`<~F!!2pgc2mj?Fr+#6
zb!nNVCS^IR&{C#A9TTMKFZE-%WiP5d|BRP9n{a31E8Koe(43~<!<A>N(de`ozfKbP
zuBR`f+JzF-T6_-u9~5Ch<0(wve-cgp6k@o<Nt|7H5=VSGg>H9>P=TGp6%$Kv)3-|)
zZG9C_eZ7IH-jz7h_BIaAdx%^1*5f4I20UTVg8m1;VE(S}X!`RX?sz9ngFA(pDdwuQ
zCrXPnZtK%|GZSiDW=TqWY=raXFv@WrL26q^(XmNxv?E7EryLpisd>_LQ!jFz<V79(
zJgNFWMrzYI3V-TG$+4qIYoZgKU1LW*GJ|QRu?gL3)TMw$Y9#qwo_<Y`B(?HxT<zC_
zs!`8z*Vwzb?|lUt&%TIGbP|iT4x_@1JvcaP2kKl(!bdmaaKGPL9C<GakF+kr#`O6Z
zb9xRo4V#4u183qImzkJ-WES2N&BYVS;do7IG4iHS7&Ctjrrz0%o@W!VRv{JrC3fP7
z-Fq;#CJ#>@K7mT6=g??k8NPQwJbLpk#%nyof5LY%xAs5$?cRqK)<XU`PMQ7~X%Tb}
zqRpKaWGHDzPn4V~^qU)nWP8#HoFL2+n?xH1O{Z<GGbuN5u8>=pM-S8I)4Y;-bjorr
z$+XNMtG~e{ml8lXioK}6z?E8x9LVUO1*x^@(#kx6VJ_}RMy+U_^9a|kzlQsdp1|97
z*=RLm3u;Z8jY^|9%<Q$m`lU)3^y(A8@L(06Uz*QftBU8NEB$$uP(!}J?1T96>V0B$
zvKH4>j;knny}-kGguZC{lxUHKalYv6$eW@GM(rZAYto!@lNLAbo+Vdy!I@(Zy|_cu
zrgAo07ILMr>$oFVw{ug3JnOLB1Kc*dLN2xNB6rCQxo_7WauV5%+{x;%T%x-qd|9Fd
z&$j4*YPLDZUv+?1Wf5c+1wi4sIgsSM64K9agYhSKK>Duzkh`rAVp1-{%*$2qN9!r9
zEo*^6M}NZWWwPv!&|B@>Zpe<Tux6#T&deu+v82_3Og?a?z@J^jV$ZH-rK`3uhgS*A
ze^WAx`;f{`y+~usA&vFjO=j~>BnTYYjm+s$BvTdkw$Z=Fv!xcoJV+sjx$BM`%M>?*
z+LCfGw9SE^b#q|GRRb6}^D5_;tjy^dZx{b)*vwaNdcqHGRYmu?PPi|35?1#uN12}q
zcw9J-oc(bCV*(3sw90vOnR*o;dk|i2yn{M^b$DslD>SNX!m6fEsPX3;Cae6xcbSqj
zZnq5m5VQv4<bgtdU7g;Ev}t*_9>r}lq{t={fh8xbnZo+wzR8;2T^vfA671;52YZUR
zH;k4#IZ&R!xU63$uv=X1DJI^Qj*hdTIhn$_Fv3EZ(<kJDx(1QBQkVYB)TE^kRA}=M
zMH;$6hIT%cpb4ozQNQ>r*4ww?`9W{7GWj{$3w;)*d>1QSs?kZBM+3p{oRw3CTSG75
z&zcg9d|iy6a?YVi*IA7Fau%bK&tc$=V$4r1L76WX(Yv`6CoR8*wn-J(Y*&e!=H9}p
zK@V``+$VT{@GHC@^&Yo7eMF7OE>zYMW<F&}lC_sCT{Tjoe_Co}CTN7aMi|gPW<uWX
zmb6LTh6bLur=Jo|H00Yz>WmyimuI@uq0=H-=LvK`kJ0TxjFh~9=IjuW%`Z1vlR26m
zhdNVBqyyb*up#Lh3(96jbac56B`#8><9_mV$XSv^YkKfmODo#HeTiLL9tiUb2nQ)#
z!3MQ+_~-X=JahLTKG~XsWxAP|yCVfBy-vWr-CMD}ay^dFUV}?tuf)l6(fBrf1#X@l
zjb5u(p?2jOEb-nTaQ?Pp;EDvCx;7aX>ttYMKsNfB?89|C4x#nI6S&^*EM_0QjA8i|
z7(C$?_UG5)sS|JT<&<`$q8{|Gm7o>5a^!nlg^Jp=$t%Q&T$?S0`@J3A`#yqtz1?X0
zxUqC!ILE%Z6iBBYO`)8g>9q3a40>{T7VS}(O(Ab*(nXt4y4xO1MnfmkIC&qseww3v
zkqdqMYfC=nW>hG61UU(U1`*ni@+R%5bi5AJ&BW+@s|eFB=3;VhGQJ<SQs`Ms6<FkM
z=sC~|RZ7%wto>hptz84(AVd7id8c@t&%5~F6XW=h<S>5mUoZah7JEK@w?5zUNS-$=
z>=m=jM)4iICmwU{hIp6s1@Rm1l=!mFF>x0=ES{5;C(gW-Cw_SBuy};aG4bu`C&e#*
zo)b?}FBAJ7;l;ZP?}}p`pNoZkKs-dLS8VJh#gFM!=4Tz$<<Ev%@Po!W^4U=$-mou#
zw^o|V*YGR(-=+!tuQ{3gq>BgmA0tok2j#Btt>bU;*9>0rD^7Os*~*f*{*f|Tmg!^i
zn;`<rbQC%+@WG`DGtnbf;PZUkhW!>h@mE|P+UcCZ`M<8?O71=m`_qX3+`3URNt&Lx
zsL|xJhGhNPhV~SXqD~oa`f?$dzN`$Vb6qRx<E^bU(JhJE%F?M?K8rrQ-$ngDcT<7J
zZrZMpMS=Bcv_3O|roE1#2N`pz>(6*nlyso4k=j(+`2#~&*Pv+ZKFn#KiXkY4qrK<x
zxxBZ?J!%hU_-z10?j8x*2H~I~odm9txu7a>8svJf0JrfbOsS}an0IgBm~<ORj_ZVx
zSAW9d(Gu*9Sc>`e$}+Qe3T*E-W%jmFg++W<V_kQISqGt7%(qaRISPHglQFui`@7J)
zcM)d0It%@hZe13<T9>W7s>8}|YBQ}PT1?qjlbyJ&&Vnq|*!wv`PCi~}jbtmb;2e1-
z%9dq+c1W}6tO0C{FjL%l{a+!U@(Y%1`VP0Ibi<&iPROhM0*4bm!-15K;MUv*3-`Bz
zUr`H0>9s&<b2F?_ZGm;UEg-kG6*{R6Qs;hz3sXPC!=qo|9(01bLpN+){2k`E|AM8b
z|H8vM31;<q0FyG1VSY2^*t#MGc3^-qn=1U@ny;uaQw2?y=BF*_2D&UEMW6i_Gl;Er
zF=EO!#_Xq|slY@qWBS7UmBZQQZ21Fow)?6%n>@*!x$P5XAg7zM6AmWKD#eIh5%jCX
zrTPpdb=ihRT5Q<~b;gqlYrL(*##9OOu&&FnC1nFxK>R-lr(dwqtq0Qj{)2v1!ED^x
z0ucNjHs&;dvG*%DwEQ_tR;h<WL!W?TbuD<mehfRK9}9CE9)qrCEetoV1C!%V;M0+M
z@YZ+%yMMfbTK`5kpwa}YV_Kp5)+ab!`W3zk-L_AAh1nP$672XSDYi0RmX+O7U`ob<
zN4;5%Eo#tYr6YCO=}iVq;gry6J!i^1<182mIj<Sv)@-;i6S%9_mYp4J&n~vuvku!~
z%%R7gCA!(O*^+jwZ2VAWsA<jiFSTMR)6JP*i!tjp9mL)UOicSX8Z2gm3L7D%$kuO{
zVY^f%+4|YPpr@e|UX`{(&X0Fcbnzv;>aGK?oA=@9uv@TwWF-_fRDh+;b$G0I1)|Sh
zhCfXgq4xR(_&EFm{26xvj`UoB2)9e{QMVLcCSQTyDc8Y5UkpwzmGGyb2JBS?KE3eF
z2K{{w6G|IlQF{w$W`BWGLdLCUa6kNrlVYVh@+|y;G7HXAXEWF9uuCC>*nf7W>_@95
zGmEuhlWyBHCh!A4EE>t)W{hSdtlU_Kkq7%PLd5R<Ct~U6L~NnJZ3-%LV^bu@u+xbn
zS$e>5R<YcUz4<+utsf}7Gibnu4%1>1s|T_#r(~IA?LTPS`3=%bTVP=LOW1qq0c^Wb
z3Ap3`e2DWf;6fohQa%EA$K}GI&|P5SwFBP%OM#rE?T}Kt4ccDDftu4+n4rD|6uq~=
zn3}Cn;1v%xUI{Sp?RLo2Ooj4y8L-ql8?49e1+&J3AgOr_p0u2TXCWmpKI$r1SQ9iR
z-vy=2r_ej*Em)_1f={vE;o)XUrXVXX@Gn$Yag8=BXftGW#+GbQh%HOo=)_!>k74r$
z0(&~zn`PbcV{i5av9gW9>`>rzR`ex=-Es?MO%@^S`GKkIS^gxZKGvUQ?j6U}$b-2G
zolW%sTV|(Y#@=kvVL9bWjPH|Rb6#}-%zps~?p1@N=SBG2mJgv1v*5<Rcqse57`zjL
zU{``G%oaLfb}O|ZP)8Qz0=l?@o|l~Vvzwge$;;eMvqCOX`T*CfnZ+3xq;Q*B<2gQW
z1J@rC!xd39cOicTxAaalC#x63$*f$@g@(m(Q~xG%H!{*VBh_rqCMB24>(A$gY%1dB
z4=m;G6LJsFJm4zdz2+3wf94Fc`najb<Y4+6b+{{U1lI00a4o|H@-)W5&9-3pHe?~}
z>|6)qN|He0em1lV{Lzh_Mes!b8YnHg4XavSK-`f}u<_tuXz7q=D^6>&S-*|h??*$K
zr^YCzf5ej|`2;biC$rd`-o=cj#W2d=!q`E9HQ1iSY`>?l6}wW|kUc5PvTZxNzdfFf
zQC!RZ87*dFej4kE_hj-?4s6$3efF$Snr$g~3yH!vF*Pn5il5JfcR%#ur(`*oxIv%0
zvD;M~dMcc^%&g*9oRP)v($?6=c?<ood1%(V0ey5*(f#di^!{@QXJnkjgC!-nb=x)k
zrdNsa$#;d>!gZ)+`x@7+{eU0te#Ub)Js7m751o?+(9D~%lp(D|w?(RSV!0+wO4X&a
zDT8SGJQHe=v!Lb`gDE=0h8%;0oPgjB@wtxFE$u`G?M_rNW&~AtJJD+mCo13TC}@_$
zsPVNeojPkxtrAw`)n-bIqYY_Zu`r|ZvIecs5xn8~@^r&NihK?FFjey#DlBZr&(?2o
z&x&Vw&sSi5Rn?$+8;|_8YuLeE#vL2a<A0H7P(||;b}cKw|1oqXP&Ktt7_Lw$4T@+$
zO3|DqMEC4Z^Q<JHQWTko(w~G%p-D+3nKdX%Dnz<xZ!$#4Oy(hDGL!lLtkr6*R;|U=
zJ?DITzwh(Bira^`P50v5%st5R_Mq07y?8feAJXhnocyXB6J-zJ)Wg-d@LMfLTsel{
z9GmdNsMGkkxdnecYQu+X@8E=^kMY}_*Z8ma6JB)r&7XaGP*{v2eZQzeTRETq{_}z4
znKGEH`VFH!StgWp-IBK4v?bNV(R87F91U>=IxyOqCeC%Gh-Npcv~#D1DmOYg+?6Kp
z8Bg;10-4n~(xE7O8WU_q8l3yo8pFE^t=e?qLto1I)|=}8$a2R27c~F-9Pj$w!nae-
zW5bw6^p`z^Hck7`F0Kf}M{tML?R9u)Win<N#bKS^9Grb=I=UN%;GN!qXuZG}Qyjf8
zIl=?$uDD}Gq6g2dd7<JIU#v<Bz=D&(n5q?qGc%*mL1zKJZ;8i>E6Mn@Z7r%T$U(b`
z0z99&9oG&hMf*wB80p!7y?>lS2i|L5Rn(44b6(;b_7%7DzTeK6-el(4my8x^Q`*I$
zBzke~*$o?d?Kzg-u5+e_C~rzV97q;pr_kMt;iP3TlMb8CqCcBw(<IN?lw=l7@ivhZ
z8a<6(@cdiMDKCol1$r;qkss%$C9l#Y)lgO1IZl>-*1p1-%{+hd{TLdh?ZKbf*|^hZ
zDc(EihXErkv079|n;D&AkAo-0ZJ#!ZyRs&WYO^)P-=<a4zFjiXvgS2TGi{eh48ER|
zv|A_&(sUD{p65ZLpF|7SJ|_#OvNs6up;(yYUm<+BeN;#|(kw*uy)IN~J{49y`zV~6
zC<|kql>o16f}i$aNEl%PSz7i`^@DpVU-?7q?{FC7y9jnCCPSG*CIn3@fao>5V0O*{
zn6kD3Y!c7HnAn?Ov%CX>^1i{}X+2rq7Zo;2X&}?eGhi>5TCfv^quHT$XLeu3pQUt9
z;l21MR?)tIxm(1unomjGCBj{B_Nh!)lFHbtWaj3V#617RvN;NKSnAPf?8rhN)>S%|
zDYu(2t91idF`o;cRDJ=1=4nW{#52~}sSqdY4X0Q3hk|}BLVtw_;l{i~$*p~5(q)4t
zi-~&W;xLs5qIVw!{PN!*OdVu{TfJS;%zH9MO^?ANXA-d2v@}c~$$MdcHevF$Vr)3Q
z4}U-Axv$ansK9sdKTe;)aY|RPtojZ%)IY_TLEMS-;yWs?l_mG_3iNZR3SH9EB+U_=
zv*|E|c8)fpd|fjNxnNCGEx5bDbSzyj7f5-%Go3i(MpJuwlI%h+I(f&79@%@5*-8&O
zP~}Qiml^rK8%NLdN0DK=HA%*r(7D+|Np_?*SvRSZ&PYYd<2gF}iZ0IGe25c&T*l$v
zh~evNG2>Jzj_S#G;{mz2;6OU23`|5x`&`t>2*aUjf%q=S10%-+R)}Np{t-J|r8W{@
zG+1KFZVQw@W`ViyE%AUb5+irnp=s|i_+q&PTR(8d`ywAS{t<*-o5IoGeGVSeTZY@z
zQgDyOdh~psiw~x4#m>Y%s1|g9`wx!b)BwUSDVH#V&-{K&eTCXRzhjhB51Kz!nO?VP
zQfq-8E#GWJDovJD^L`ZdQf73o!;>5*1X7pgR1&{N(5z##C`4x-1wLEAvt0|RfPeOG
zpG!tf(X_ZYoE(cL(d>6#)bpW)CN+*E-*!V9#=9^3M<~$3yC1Qa`7In##>*$!d(lBP
z3mr1&Vs89+G;SY+TSop6TU44v-}`IDR#$VeYITKF=G^I%D&8rQ!b}+<DBV$zS-D7X
zGs+VN-Y*kc;iTYF*(N-Rc`oRj`!1-Y_X3A8YMe)+4Ke|Skkx4cX3As0`>YF`atMH)
z%fi8>Xg*{$u7Jls(&6I44KPY>D`fTB3rFZ6JO}>1$!-SI16RRz-y^sd-vt+j{e?9X
z6<Bq*8tdCVkoh?qu&T3W%sa-Og)0c`;0g~GxH*6+44TRmZbq_ei81V2%L4X&)e<%!
zES6m!8Ows&7qdO?^V#T>Xr@>e%KE$wU>6EqnYQd`_94}T^T~DCeu*->Ch3Oh(srnw
zC53tG_CZ5%CaioF4Z>YVa7)yL8=;Q`!woxyA;unpb#aqK=EK(p%`cVG{pAMYt+E)A
zlh(xAZHGniR;xIF<_l51{I58Q@4|{^YN31CQ2g-D91n$!#_3uv*yS(*_uUW0>4tOh
zx={l6WvxMs%)(9QHeqSwc0BG;hF246@MlmX{(F8Fdstn^-lHC4;NN#V_wpO-ANHcj
zS5>H|x)vSC8BF5n;Z)4Il)sLSrXp`fYI&Zd9UMRt=7vz(=5RW_b0(?z&87p3=Fo-P
zbI5a64E0osCXdt8>3c~C4Z7h^_tRbJ=dUreFxi4~BlIcul?MF`??sKhK43}TTYMMR
zgvEzSF{CmVE0W@I#+wOvbgLz<Sfqw^c`rn{7j<I5lC|RI6=TIA{vFbSC$3VN-D*w;
zN5@OhqFr)h%0OX+8VK=Eq6Fh(YlI}j0^wBmKH*(losfL>lrX~Onh^Q#iJ)rxNyu0$
z3-3dfU}dc)NVg9H$;c7Vm~IObY6K`c=L0QIr^0dVxzLf8$agbq!Mi#awEq^td7V<&
zt$rAWy={Wr`io$-tQ`t$-auy8Pk0w7&*qe?F>#(Yd$`e%t?y;YMjsf>`b~FcN?&}L
zzikMcbw85zDx1rC!cvwWoWM?PNn%jHid|o{iap)2g6W&bGhd^HOj0|O9UCy2c^~#*
z?_ZB*t87QG>3_9Yd~GkL5%d~1hn<J^kNY8OdKUbyn$Epb=8(AexA6K-xiF~HUXaN!
zlf3mQm8$-876W0k*oCLX6T`d2s~Jk@o}-5zQ5M+Z?}SIPd~l%uGz@E<gWE<X;G&>4
z2nRFq5N8l?_)>(%J@z8Ztwdw{IxJdn66<x(;wjfQ?Dc{7E%o?J`NBt>@bwQGd-tN!
zHf6e&szJrU+Vs*%pZtdpr#F8r$f?4Pd{xF$rxGK#WH%yDZ!&ZCr_r8)<Tf^lJox;&
zZg~(n?+c``cz^2n;YBk9SDHRULK^Eh6Y~zwp{5U`$*4o!4eIoe@3nPpe&EEN9k`?E
z8a5$fNb4cI{bLvI3fYLM@7Lh`q(zv&atgk><ciz4-?+GQ7)B%xK<~TC*!n^i)8#&k
zetkQ{-qO2b@zpkQsLln^WZoI^%#KrHS{{kP!%vA3-p%6GH|NCt-K}E!{Oe-u_<N$5
z_*}f8{a$=G{Fitzg!?+5D&y&K{c!t|LHK9Ga5N~fL1pe*U;2yR9HKZsS930A>94@O
zSJ&d__B@<>ycj(b%Q4lo9$jw{zkjsh63@rjJ@_N`OqZosa?12Vu0P#aK7?X}O=(!N
zJ?*&3bF^kYG{t8!`F)F|DG%n+g#&RE)GLXkXOij0l2o#MluCK;Q|PwgYKqMKkNj;H
z(8Gub(pwrp9qmAJIy}35NRRS(V4yzeJ!<W`h?Z+Bu##svk9`hClcPg$phLSDq?ROR
zAFq&x)}=`j-+Ku!%=QWU<?jhQp2&lb@?eM#wuNF%cX*sL1)P-T!M$@UV1Nwowtvon
z2RApvjm90I-%!f=9aR9fM<J(G3g(B;fyV1L__n+qEN4H5<%hcfgMYyD5pwKZs{$Lf
zk$cA%XtGnm+RPn>u!%ZGtm&F5dlY2NS~Kif4QC%rE|;+PQ^&J!A+9WFy*n$o=D|#i
zJX!ft4|b)_jfK2&W>W?LXD5$kfu;7W)y|6L4I06!QuW!X^#j?0AnvJDRAhNM|DYiF
zJ=pAe1Y<Y0!5iOGFutoE8rJNGKH57#sLO|}zzmrBIT^eM$3m{-ESNHU8r;7e0A)H}
zu;hy~Tyhg&_n)zlDenj-0b{`L$`}~9Y%C~@k-$IA@!%rs4h#SKK!|b>D4B-Bj__#E
zJG2NQ4Oc+y(>36EB@=}3d}!Oe4NfHO1JbU7xv|G!XYMJG#9oHoL+`=c;#V-`@i(aa
zBF7wWDe+v6CNs;{Wu-2|Sf8O5?6kZC8+=p321UEG#0-CCr#6|DNyFH*u$io&W;RPn
zp37voXFTivT=v-{hJ~%1$rPT2vc$w7_BYOpE!7a%r|mZE#!Mqtb#wrG$Y*<QKHZR-
z`~bwp({RG&0Nn5?fYj$JVS9Qol&-V^orb>9d*~}ctGZU$xIb0cKhjDVr_wB$(EP$F
z%&eC*xTsbdqtr(X3UU;0bViBRE^Ec^7hA>02P(x8?TzBux>m7Q`~%T!YL_@@%Rg~-
zwIX)B?~7l`bn)&RBaFLdjrnooQ2Uh!nz{s|WOo!=_lv{9p{ckuFbku96rgq3E)+8=
zF^YRI<K~=3snu0{{_GL1&3KP`>M~?}Rgn(Lat~OcF3nFhqW`L_sFdGxtUO$3SF|6c
z3<{w`){(R{WDf1}SWGW#myw(Ia$0&Rky_*uY2f*InyRsciay2=+ZaxJ>;vhZ1K+Ft
z;Ae=}oP$2UAI*E-gX&#h;`ZC;@OVcBhBoA&arZ3TkmbNxUP|bYeOmmS5hsow{8(CZ
z{{6V3`WKSQmLQ>h-4>yuPAc?U{Y;2HDF?7g0|HWqg4Jm&_?_tlrApplx+ny`Jc$P5
zj9B=5IvIlgt%F19xo|D2kk2c3L9gliK{oF&#Je_v{JJwxKD7;eoA1H;GcQ3Y><cKK
zmSK;J6_{<UDx3VfKby0FbF97$V}7g5S?32^cF1ZhbJrfvGS+)A^GSZ}T@c^ChfQXO
zT&A+AFQzd^!%$|_F_pFGhp>^iC$d;AKeph98%rvaumJ8`95Kv{?TylB2R-_;8U-a*
zvi}cM9eD}S$=6_svlMbn55S&@MG)Aw9(MW1Ld4<8u=<Duyx9n-v*`!TGvr{de}`aD
z)gmZn92RPFw+qvjWC|b7EE5WyrU?ZtF2eG!BZb8w20~Xse_>RJvT$xn55eQePf3L5
zC&?Slcal%%-bieX-%4KodMBwL`dLz+_)~J_hpZsa6VabGstOAiX$i^^Lxj%@OoZ!Y
zcEWXC#;;#~!b0_M!LE6sFl|G!@N8$MK;@eSA90W1|F>GOO>PqGW?mAuo_{F3xbaa?
z59t9ir&U46Sr^<sjesqkqqrl-1O7Qp1&=!m;PajosF;`omi@PZ^k+FN<@3n=6rNvk
zzYBiLJHaK7&#-nYbC1XXX7k*TZU1A<Zfuh<agz@lcX%rMSsBA*jN{pusVQvl+qKM#
zXY;pS+ra0<d2H&oJf>Z-fmzgY&!9AoDZW_F&~P@>eH_4c-FIZ}4-MGd?Mm!;Ob4uV
z<ulGTS#Z?G6}I&KEVMOG5R&d%O2^x+7aJD67k4=tWALB}7=CXV%6`kjGt-Mv8eV~S
zh91RVyhpEA*ouZ5Zei*5M_9h<6`Jh*fKk5PsFnQ>V{CiS&L#3RDz!J|bH=!`t{M&9
z)0c|BYEo@~EgJK80KX4uQ<sh|`FiNlZR<hwo@cc;nhd6RhrwjqJ&1f34I=j)dUQBV
zmvl{ZNG*3D{cGe|_M`o1Nty<^TdGrBqY8bsRi>M}6sf0zJUJ}k4EGKhvcLTsEi}5Z
z-}=uO<jmjSzHc$2>Los(`y4&8p5P$ONBFJR15BHB5BEE?W7dCnvDV}+s{8WJ+>^T~
zecq0ng70I4-9vnx^cWM&pP>i5K&pR@=hNR|W%Wl?G5v<^AAjPAfB#UURF3{}PECxX
zBAp$gOg~js$z8TD1-;iKtE*ZRzEhhzdF~?P)?li%97@N03~3y9UKk%Srk-8H$>YKZ
z%5gTKn?WXY_U8z?Wjlfv$qc7IGmNNnx*=`;qfZ(xgQ>TZF3tSR`wmO{(UkM*G*(81
zqK5Oru~#qJA16ywXa2(bT3_&Y|95zB@eAB#_ZWj0wBwjzH&GhF*?}Wk@yY7*IAhKk
ztbcI|S9Bw8*(svi9VrHtNYPqWM5T8kK8+?U<k!eIU(eub#TLA^vlX3=@@%yCO;ieP
z#{hoa9R8pKLtHxXxCZZRz)v)PCPO~0Jvk3ekxIJzP^o!eN{r$A)jirYq;(MK-Wy6Y
z(TE<-H=)KhbE11zbY!Is-6^x9c^=%oK4}!KI5mpSuNy^nyB#P}$)2v9x1m>0thnpU
zoZ=>oApd4V+Q2zazt(8egrAzU%3YOyCo7V5qa3~J`xBFRX6FKXjw&kcsI;IB$1OdF
zLrg@>-*yZ=TWipTD$y&E&*HxA#y++?P|ac+Mm{dYN{=lVAGsN0j5lKx&tg=UY{9?5
zTQRqM8yXhuKv~^A*yYF_WuGgspYtIsGChK+6^*z-JcU;CFQ8ZTHSAh*5C6S>j<@f1
z;l02gC}$`~HN4+(hIdysikf8nOq&L3>eEDtG0#z((_%XtT5@F+Es=MkVJ8_mUvs5=
zQ%};{?@dM4zVx=rmo}^UQZFBG%8m4(zrik4JXWCn#$zbJ!G>%$m{RT}16p`QoBN>E
zc~)D2+PeN=>#|N%$+?H&kr%PH|4FPoUB#bicVo3@0k&Ia@XXRGyf|+@TIGjg(qTWm
zQ8OOfmyJg1utL)pBk*dNA@;E!f>yzLc&SPUJ4|)(r&I^^!}ajb-@zzuGr+zU!%?Z;
z9JQ@&v1^|r#`JT>g!MkyyZ2;#wtEI<gf7CqUMn$i+**8<v;kEX72+fQ8v17+z~ASO
zV(Z;gxaiCkY|eXt10|g(wEjZm*(bAOs`U5p09wR<-<Pd5rFXV=bhpEaPRF^^;=>b2
zDS8Th2#BN!_Azv{WdUutu!L51$I|4%aiplVloT&5pat%;$zV@7XX^#g**14t$~c#!
z(TryCYl#_CA-4~|aJ1S(+~r5;B3Fi&XJ(_l*&IH@b3#*-{&?Q&iKsq&m+0`^O}tTb
zRH|QGJ5Kk)af!iMGodRmR&e#*COq_O5KbB25d2-cgn1b~;M;#{@Kr|_u-F(5>)XKc
zOHL4X+7o^b4Tdt#QQeZWnC~A~fz7wIz<zCj#x;e|vTZj!@v4MfJL(~`SOoOG2zhn4
z;rq?!@U!+4EZZl;L>EOC<G^=`JiA@;K%Wg+YQlDC+OSO}j%=%}Gn*mn%`BG%vJ#Ui
zEbLV{Q%s!6oyN16)HQ|;9}&YQa*s!J<P3J<a437}G>JJ``Y@#vj8z#rFb-#8Uykar
z);Klx$6Ah^@_7So%2z?NvjKh??S;ONvLP*GDJYouf!uHl@EffLCG%bh9S@HQW#QSv
ztB+nnQfx2b#<2~Oyc0=I6MYn=NBixRmQ=r&UNspcE-w*8hX>O|h45A4-)lLdN&oF)
zn^~o}&a;7^mClMQC*2flil2)=i@u0iC*`oJMj1Cd^~ak3hTzRuQ(WlofZG(E(e?5K
z99=UV_0BCq`z^^h{7(kf8x^4Apk4U#LnThDI)?V)XE09X23DVXhW%5&@IGh{x|r36
zBIj$-*hYOCI?IeUO?05bNJeE*KJ?6ZGTomYN&OzorQNo%G*~l{h8V0S8Tk}??VLha
ztdgnEe=EqXEtXU_%%Sj4p|o)d|An!U@cB5;S`E^rH0|ExP}GHg)mw4efCHG&GaC~I
zhvU+c5g6_AUd;QxS!{dPTZE0hog6>(5tvh|P#@4BT%7Y-7_FlWV-601dB<&_JJSW$
zM@<5^v}ovUxD31;Q{nyf45*IX2qos6L7}z>E}B<BA%Avz?sfuZPdN>5uC&7Nnp;r#
z=P}qEe+&9gzJd8@S*B;Dz<T+sFwa~~cJ{e8D`EP~c(XCvdeNK(T()74){JJe+nku)
zmhmj-s2e+@;l<YG_%N?Ne(YI-ANzaCm;Lv|n+09>U_rZG*y|91?e0H@$$cBi{tY%|
zn#YH-z^;L8)hjhN{fa!hwBZ-TJ$VgdF5Lkc{%8G?T*>)lMd3@0i_j=pB^;kqEEK*!
zCiD)vDMXrm5r!u#fs(l%C{DA2N&YVI)@K?NY>R_vwjL}i3*o=R`=MY>BY66^L5eGP
zfcwa>_fD!Tj<ckOPqSoq4g<^D8^j!J<}#au$?VkcY<Bs55i1WVXWKs4Gr5RU%thx4
zI~U*1Qg%IK#amu8#@@1fD_^pA?hjbktBXw6x{hrw*~IjOFqWUthuKxeKtaM@F&66)
zzV#!M*73Z<8bychCQ^Gy8lC;Mj;8x%P|$!3dh&7|Wei<QiT~En^xY|BJa`q&-jqPF
zVJQWEn@6+jqNsmuD5<}kNPz)fH0GDUog8+gyV!)x(+5!x?gK3f>_vVrKVitfdsygk
z7MG~k;+{>ru=Do@w1`edi;CG;lo5#i-5JUputl$>Cb%ci0N?x_gilTN@HL;o{Chqa
z`+hON+O;Ea`eG}blRXN{ngBn)^TNF<!FW?+20rXwh{a+OE;y2oPm^<S#JSBFv0*3X
zJSfM&lZUa^<|H<IoWr^D*YVrZN7!7@iDwr7#9wJWDa^VLsdJ`qa<Lw*4ltr40haV{
z!zjY<Ko-lqIP+>Eo#i~?g(kD;^_GPMF7b5qV-o!|PoW+<+`FlpMv5wFyvLhLRX)k|
zUq=ERUcHbutd1mIy+FEsfJYPdSWt7iHcjp7N%vno#!}DYcwD9clPYJT&H-b*;`>Zg
z+LIwZz4}k8{=l^9q4Q2jd7ZkDJIhJ<ogX56i;NcjtD7ZMs!tc3$|neYyq$!{D~yHI
z1u8<x&=-;cjy00Z8F7-@^xhIbNe`!6v6)Ryvqwmm&q|X9POXzp^>`xPJ5E77v3roH
z{LfZQ&hQd<#zl&Kz9)!PCF{kXft$r0C40q34K<=~jVQi5ctu=s?Xh^+?X!4(YY)5|
zu8MwrI8*kxF^b7{sJhA-PhOdb6ShR-;V%iOuec5ut<T5B+?|zh^dLUj*oc=;T*Mom
z4={G}2fjCxqoz_7a;efLn_^?Sv(%1aZJcQW?+K(h%_O}kakTPRDy@5)MdPj(P+RN{
zT9Q>tE_jeORo2pz8%Jp?HjrZ1G3xiKj@ZP5bocLWO8vT#tTk8DklG;nooP&7E8k(D
zZZ3|?y(6~CPY^!#mB9OFg|K61Gb9?kfQ=o0U=n{XpH5R|C682CS)M9WG*M;wx++W-
zmD%jcN-ST!H|yO;k>|w~*uMb^Y=Dyji@2)5M&D3m>Eo5yqyc@Hr;jRobXT1fAJb&|
z_qCY4lMcfxgP3&PP&P8ei1o8IVH0}u-4bUB4xDAj#<q-NMo%1>$2KQ+=dr+qJ&f%+
zKc1~}b!O3u&aAfQcs6k)u%rwp=BeVy>`vLUpgL<7_R*C2=MQ5KYX-3m^R!t0GgY>3
ztO6Tp{tu>^e1LfepFm*ebtoQi4%SX=goef%h@Vjoz5%<SZ{}9$ueb@8(*{V|p9PHv
zGho8W_0ZhB9@^_Nz%(HX3S>7x4%-MmW}ErfilFbcoshPw1j6eo!EXLxXe(`iZ(#_-
zHk}7Am#dJvxE)aIIjpqrf~gm};qfb3HfEm!?=`5fF9$T)n=Wl;5}?mQ&Kt8c?iOqW
z+Om0^=bAc!=kv$9u{+J)%;d@hrtCP0t$Y^3&&AW&k6B@i{)Dk}{$b3?bs9T<X)@D#
z8pt%(`mkj!E^Nd3vFzc2k?diaG3)rM!vgQAGK=kU%;rZYTuHbIz9U398(j%omKVbO
z&1>Ov#UhYN4u+g<42)W>A?>;$ESjMMEr$J|4AsH&xf=8n`a<UVeteFj4aeUPf!F23
zA#IH{I7B-FjN(h>HxuA%d>AC&nG4(1mqU<78thlihTdxmU~>Ep2>4J26Mob{&uxuh
zdG9Rvow)|S5s#pMT_@<C{t2&Ida^(HeOO{+KlY6CiPUtASpitFL1m-avC-q12EXr|
zNtwj9e+y^I{bJbtvc=3XE`bS-t65=4Dr<I2V;L-+EgP23+^?)*ts_#{E$2k`bMYc(
z`k8xOdj+ybJ%E|dHfQD10c>2E96J)vSyYB~aG!S;G`3EHRL6l(;C@zUd@@C7xSK0+
zJ82<Zs@FqQN*FJGmtP?E9I{3nTD4vr$KU_!e9}Z|(sD8VT(r3GyPufo<RAvG(-Zq;
z$cYWvSEYsayQC|7g-Mle|83H77|=9sli&pJWF?KY6C@X=ZIHb4sFTpr+Y(jlUy`K@
z)P$?EhYGewZG}ba-2^MOsluS7g+gE1RN?X59O1;4B4Oa3GNF@aPhMO&Er@0}g!HZs
z;r*B&!W~@&n3Jgi^0GrfeVaMxEFB92_j|+IurSCux){{or9!Xe8z8ZNF$`_r4<8;K
zgV%5#&JJjY#MSRW;wj6X)%Rgi6>XLmYRvM>?AZIa&g{HV5I=N8v)?2BV=gz+SP5)k
zCk_^}UJrJ&sp%Cg&HXSNR(Fh*x}Ri2mP`4)zlp6{bDSwHKFpa(r7To!GYjJX2O(>N
zSd7$wHHZ(PgJPlCAXMny|5OwLlF@h736vzg#A(3qDP?Lj;jI?6_0*+*m-T314}RXa
z*P|16bT|uJn-r=B&`eh?iZSj_eIxr(1n=%A%ks~2`q6`t{i!%eiwau?P{BHFn$Bke
zzv>6kX%&4+Oy#aOc_Y&2>}(x*QyM$VoE&yq(r(^~FbuV!V`psX)nz*}pJz{!Tzg6x
zX;0B!cGSxA0TGw2>Cq@l^676ziVKI+DSj^Z6bF<2Ep1v{(vSA=+)2ub-ZadzC*_9!
zLD$kxSQh*WPZvDIYn)qfntR{$O3z?Fj=AsfJC5#a>#_HN8a#fy3Ih%vz=w&IsHazn
za%(Hmq51$W%&fxW>NR*|R2|lTJBk-v8+ktsaYn)!?uWXF`8%(oZp0njpZf@NN4&&N
zqxU!?^*g@Pm7yKGdXkz)Z*o>wCAUu+)Q9_`JYMMWkD+w`o-vI%VMgzlTGN}ac9c4D
z49|T!kybj;rC4W*ZE@v{TX)J1_Mjdy9yE4~JKeqMN-p}&lpH6}?c0vTf;rn%&Wf79
z4kulIeR8oGNa1JI$k$GRRJ{1Pa&;$84!n;EvX?ONloSVvhjBvxGTeH*7<;I0!ZpXT
zaP7r(EE$`E`EOR>va|o;y$8#9*CigMN(tD0VFk+MCga?XYtZBGI?SlZ#u=|SqUq5>
zv{BlLnNLcvWz0c5+qWKr=bS`tNJ3sd#LaPc(EHj`)Tn!h+FCy_KS_?14l2?}Ej98y
z+Mim}^++d)?~?g>xPSFX`g>tC<+KUZR^~?iY<#IBa3Z<B2qB%bVf3*jlC;i8ky_y_
zidUOWma4PpPW()YaF|Z>T&K|d$^cSY;Xym@J5g2-8=5!Lh<@?&sP*mMe1`iS6^`D=
zfO4KQcdW!+*EZqC`Kxj8kWloy?}QzjhhfJ+byOW7!+Dyo#I(=1MH$u0;=uM6@%x4g
z;-O_%#0j0ZMc3KS#Cc0TihFO$;5qJdKHH*+n->qp^i~rLzip2xdA!H@+aGfc!g06S
z0vvQL2}_#RqC+mfhrim27q9QdSz%TD?A(Bb%bSrIUd5EH4^in^C(0}T#&OE>#L`sB
zY4HGB*vi?)n@lP4gdMrs3G}GblP<Ibk$lB;>YhHA@=nCj(Zp5M|KJ+RO6DxVoJ<;2
zl1-yG<<K+p9Ln;@BJXqS$YN_MNfQ2}u8p(k(9J+<IXjNN_c5YjbNbL|-<P<i|1k{6
z%D~x$0<K#7MqI2MB+B%T8kca#M%d=OQ&1gqjdN+g3q70^;n+bnP#LTVTaq>5+P=Q<
z)<G4PUFZ$duJ?q}(0{^hx39wAYj1_pz-L0U%zdFq{+4id^;O~0%FDtBrAxvl^Gkwh
z$7P|_{+h6C$Zerl$pb<CT!*k~!+W7mk6*&nfjwc>CS}<BTN74H9|TWYhQl*&Te$aK
zfV8K+Aa583a@QAtuR=16`k4XeuN6S;-raCCsR~xcHA2YF3-C(y9_-~g!c9stoF~Y=
zDLMU_U-D4qJl>LxzdDxnH}Yb~ET%B+t1&G5RRVXar?I}x*=%Wj0o!G_otgdK%MKse
z&p@V%l`K8P4E7viT}D;R_h30I{Iio~scvG6l+u`dZ4`Sx+KFX&YcgrdRp{a;kNa=W
z3H5IM#pDhhl%%e}FD?6URy5*?wi_50{}jVdy}_hj?{QxA2Q<C?9)Az%LY?-vsIcNS
z8c%(RSC4k!z9v40%6^XLMs;9C%L}Y@e~l@%ow!xuBi?7<(0%G})Gd*vGs(SZQd4iT
zny5<W9W^Os-auM-Zx9)*=AKDU6B=%2Mb9<tsjbtI*6aoPtm8(j9ldGzGk@y*GLaVf
zO{UA2rqJntX{69Njo!SQN;)?}Xi@ki&Ptv@Hzs(|Tz;O~+Ru^u#;wWckP%hR)1kws
zRVle!j&2lmVbR;$SQc>#&-+&6zV2c?wUKkG<|g9z+mYB2?u+ra$Kf4$YYZ<nM%yTT
zwD_cld;aO7D;tECOZ8ECk`cDnn_)|oEpCBvxYf*!KXV7*<j0{HlRpPP8T^McTT;<8
zHWLju<)g&17{7Rx;H(c-IL4TBzQ3Hp&>5HU>VNGxcI-?1bodKiTqH{;o+{G28g(kU
zJ&^zVhLX<!Q@W^UONRr;QALR>z3uj+Emk2k)F6^%_syaFl}l)0d;<CVtfHHtDU{oo
zO3_2skaJ8bEnAUH4cUq0mAZr&AFk4k$&|3$ogVJDr-V5MG-;tKjoADJ)$}f5V|+Ph
zQl(*ZqbF8<>x*&L&7wwnjA-2RGB2oKX*Bp-AQ_k{BWyolC}bLp5@c>T3Bw{B1--sj
z!os_Qgjtgn1)F1!Bm<vTN?sJsmdKWLIa$xSIrhQaYfbWdCQHkP?UlA~xh=hHATOS^
z)fd$b9mNxRLE^f=g<{0YG_huQzIfVgw^;bITFi-(igD$a#nP9LL~HL)V(&k4I3`yG
z<3A0=g%Ts2m~Dgd-vP%KPr&Vkk@&h#9LlSup+@%xWH+~=TVpvki$_rBM>FcKx`{iY
zU*eN9Ke<a-fllgcQniHVI7gY2q>m%@I_g0U!$atyXAC)YCs5eGH2RjALzmxgrgI;6
zP`+C!P1}5c+WxDd5i9HHyj4B*7+gz#I}Vb%O9{yuY^9iz^^_PrpC-K<Pd|5SQO};7
zjT{+|T~(!G(Crn%>g8kM?*2S@xw-+KJKTal)^Fj-zivn>l3|aE<yghA9_-)|Ii|)v
zaDmHYm~QxANFMYX7R>qyoil!biRBM4yYmC8Vt#?!lRvO}mkc}JB*!kh^<t*>ip(!n
znLA?CID1r+tqB^yoG<9I&5QL}yQ2}4(KTh$Wv%!g#+L0X8qG2domlfsKAsrw%9=|(
z*yK2G_HmOhlf3m~g){t_R)-%uAL+{;wR*9e`tEGb^zkepe;muZ$j?DWmTVFku|wzd
zm}j&md)3mLDH+SKw19W8^jAA56t=*nsN-N$SP6Xt`Ck3NM*gu5EOxDe1KLZ#WA`km
z>M<Rbt4@WY^^-x~aWcH^41sZrLgCD&NVskj11n7zLuL4KSj-(5KR2y|i&t{sZB_yJ
zoGpgbRr?_6$N?C=pdRA)H^IEQ=U~y%t5BB9J0RUJ;rFM{utbnyzL(@#_ihz->1aRZ
z+*^<3<{7fF<IUJHbz9c;#*wu*j%UN?da>8H1K5hEAuMOcbhgSonyL1k%aR{1U}I-2
zX7A@NVUmlB*`?5htf<Fa=5}}{>lZVPX*dNivnj6ZSobJ4bB+o7PhN)|w^d?YoP~dA
z|4r~vXn^p@?XcQx4P2W$1q>$HfYh`vxNUqZB%vrwP~0i#$D|AT+vf;2{=veHdwxP&
zXn-Ic5-JR+Tp(D4r3#jYdBUs4UBZ*=HNpk+)54c+w}eM>{O8SN;2iI4r#;gGtG@>D
zq|6FhI>*7WCtlE0GzFfS&ViQ)mqY6Iba?t@1I&206`Tw9fkt;VBoA){(~;*P(C`){
zD|bNeZ(pGCn;d)iTbXmt`}4p55SBFAlo_Vlvl9l4bs6&xcia^A>2)+a7qXO1TEB{o
z(oSb<QZm^fpIlbUHn9$)Eo}SoLN;Go$Si+tW<@NY#l~f`%A7QI$ZZ+Zy&1-?E^uZW
zJB?Xt0QWBj--Zo;cEB2(0Q0gQ2@QI;CEfCN;)SzU#6|P9@Zy;<czwo1RJa+1HkFHT
z`J`pon_ovgEaGv}tXOQ%TZC1f^U$`>Y-}4f6Xp6x;D@_moT(6s0}qAbt`A{Ym=b|o
z=SSg@<8!cP(PHc@NI;E&DY&|1E!up^#@T)NPX2Q-CLAikuO8K?alQe`zM0F?+VFzx
zLo{F7iDSR~!h!Dc^kS$Q9n2g^HmeQD=%+c^d>TbEQ=EA=#h)y+r%}Pk*(7flOQ$<l
zk(6II=4fS7;Mxu3s+~`73ko<3c{BZ+yqPAC+(br0bLpyj2A!5kAzST*G^Rb6bh^gT
z1@ob_D!V7G*XCYlD8j{|K3JIlSo~o9Pnrtq!e5_bLPw?oyu3F8p8Wv$5gq^=lc&M)
z6A@tQG6PghA|b^q9Lyu9!XnvVn7Es}K(_jVu9X)YD|CmTZdZt!?+S4WZro$V(<(2#
zz<#VhJiQ+Ts#m8$kHJy!=fVOgc$@&~^{F5<WI%H2M)23&1|?bhVA6vs_^fjrw)&re
zeQU2l*u}??I^qM|nkd6OM)YQi1sW`)P>-#%9?mSL*swkd6874}i-lJPv*4JSY|)s-
zZ2C){-Q|o)kMK<9wl$acNebA%)rIVGRS|nKaT}|&DPkuzx3J*0JZ2V>!R{|y&Cb}z
zu#`Q%Og+n*$^YofP~!!ZR98T2dL+1(einK@`z+Z##z|ap@S*5zWq=;Cp18#?8n;mb
zK1@wTn_KCauDTBYon4C+Dd~8BKhG0xOu<!uSD~!e3S1hLfD=RFaZ~a#wCh}k!H56D
zsz-^qK6N$PT}?%UeQVL#F$<p-<zd;GEhy3sl-X2@&n4Bk{^Bvr7C66g&m}DRaThcA
zvuMe_uNa;zN3C^Aq&Z)c?926NSA;Rm&9kNyp6T5)$c;P#11Pg1lpg(>O^O5g{QuNS
zO1`^>%zW0<Nu_LRc)EckyYgtK@<!f&%%$z4awzZcdMcWdO55Y&X!^Sdn!nkLTzI$O
zjQK$7Uh@l|MV>>Syv;cGmLEzVd>6}_{luU>{Uy`g76>D1&Is0>GBD(n7Ig15f^*j`
zAvVnxcAl|=Uu$fkV4XD-Ei;Fz>%-x(vLResJQymN4jir0g38;P5PqjGSaQ1eryc6B
zFTO9-Owi<xQ!SV{PzS#D83GeDjNqY#ITX*b1K%@Fa3shBP7Do#^s$kUU$+QO>{ty0
z*RO{Yee*$g`F7aUS`Jfm>%ngs!HG9lpfl?cG{k&>H}10Rue>sw7vG;<*s9Npc<*TV
zhtbSc%Z=4tp2!0JMY7&&7PF1RSF`M!YnkeU9Cj_ffQ^pc#?D0SV(YZ`v5qmNY|K19
z9|+yYdR^GbV%8V3FWEV4&9`Ls+AxZh)sAPacLuZl%3r`}&H+eL_XVG-ox*SbA5xhA
zLmc(l1NR1TzuB>^SYEjwnQtA=J8>K%zn#Pz&zmsCwFza8G~%B_$8lrfF}!``2)d82
z$K2>TygRNA)9%+{VBirnE<c9TAD_Su84){sH)Hy*7W{Xk4fQtP!C{V1@IJl4DJEZW
zx`PZYaF(Z_hCVbsPm?^)=+JFH1Da`IO4Dp?=)?j?N)*SFimEp~cAQARhfbp#MKfq}
zEZ++yE~4D{IJ#+`K#7rw^tnBe{GykW@vUWaQ++YzD8<l~OJRgb+{Yc@OpZHkY0p^$
zvUBQ7L0|uJ&%`~HI-S7LW!o?#VFmWP=8jj|ba<})wK!6xQgryeQ2h5>UyO^mBGvts
zEUh&+lq$Xc(3BPUv1#f)U8%F*RO!M=g;K?*EgVuOD;{*#7ngki(NSim=+J)+U)63F
zh27=i?YtA>uYZ@sa+#;%j|1OCU3GbsgTDBtTMtk8n_$OO2lTUXLCO0-oN{mm?o5wG
z>(*4<lah^nKW{;qk$W-5ry2``8}Ua(3tmpTgQrfs!U)r!cyK=F{mxORG*w;F2s0+R
zKpV>IkWfo+ANsI=3YG7hP46x*qkr8gWbkx7wJgh}bt^Yh;qh(M_+%$}mG7a3hQ0LQ
z>>m1@wUhfLw$kNv-d8=4PM^9Ka|e7N$-0cBBtKQM9C{0{w(y)LXAXp~aS=1WdkPn>
z^nwNNJ)rtU5_r{Y1XHVBQ1iPSChJzgyk&==->pNC@Uj|)+f_jj&luerQURX9<?#G(
zDLip1h3OWhaQ0CtG)9&~RbvJ8`Fs$Zln;Zy{832hXoPJQr@&z11^DmjH8?x@KD@4d
z0p_1S!dI=ous^34t6kZLJ-)5U&Tr9W?X`yN)=+ciaLbP6NS)aIW;gcol0Vzp5W<qe
zBH7XnbJ#wuCG72q|JY^6l}x=NnKeF0VW^$Twn<W0>8w=@F8{}#mM>%$vNKsk&q=K3
z4;S`^*|MMzeYT~!4{J5~1V73y!j7M1ApbQDdd%{Hy|!9#bjB5-XJd*mes?b+dvPDh
z)JeM1pKFdvYq$KA+Wu4%hwF34jH`xdv`b#RGWd;D-d8H^oR}>=y~tc@=QzKqy*$ck
z=O#<Z3FUl=Q)a6qKCp+NI#OTQ{CS+v=lB%Cu`*t``71-v=-eutao#T|88!&751bc9
z$+Zi)-kn0!p?|_gGbJz|)gPAk9STj?EZ|_lSjbuG1tA$z;pX>wQ2%fh_|;^9*3|;|
z`g}L2$y9^OsFU0&a1pBg??c73F1~-3VW;LPvvu{n`+JdhV(Y9}ON<i>f9B1`YfNKq
z?R@vAxq{6(mCl}h%wc0+Zf5q;J6Pz@5;nZKg5|uaVg)8OEV^F}vvRFswK3&vxA#t_
z^lBsXU7X5l_eU_Rl{{Om%J+)#XF)M>HbC8Wp>^ymvDV!JRi3Bg-aD0;w(u-I`*0U`
zTz!EutGjTP$0z*c{~6`ie!@NnKH#39E;Rk}7Ly;mMg?Eq6Py1MW2U_1S({fV+<uK2
z@txQ%`vFh!-hWi<5A6Q)4>OZ{(5z?$npCb#E`mCZFzQd&{B?-xhtLamBbxWiloGfR
z=ue6RWm=9S>uN?RFWsm@>P<)cPoO@RCQ|?AU@~tHp-b<l(9f5g(_Ill6AgmtqiZ0I
z*YG8?TsJDeBH@k*d)hnLobId}N;$K%$f{e3)W82lw`s4iE$13e|JZ~*Z&#v4QW2Ue
zWum_2at!gGfit4`?1^_y!m90fhQu6~stw1X+?%LuG7Oi<8RO@pCb(0@3K!kv{^SlP
zoUZ4NYa;^i`OZ+Rz7T`E?k_{5*D2T#oPo7tHsYu)MOeIKFX~=9fSaX9&`E+A7;+IW
zXx_%J@y}3W-3Pqo&iOZC@|5$Qd%kXSZmY&%p2IYz>!DV3CulUin9pB_94}f|G?8-^
zLh0$FDB3B`r@c30>G|{Jbo0O}8uK}s^7p6kIc5r7r`4nylSqHpFQu<WF%&#)8U@er
zA(y<dq&LxoW|?Vm?x7q_%zKFE?2lux?iTF#b{;CNv%w3+GPu6-pcpaCPh7~~BX^1h
zH$~qHkUZ}zl@v66lxRHYDa^0vCA=B+OA;FQK$5oTh{WPsx@1+Jfn>3Zr_&#=w5F2B
zqor?Lwn_&X-;jpCR}dG}8i{o=&f<3SNU`2<wP-KhAeuPr6c-Mt7OhjIV)NE3V#4Yt
z;=0f;qN;gMbhxaF?|JTK=M-b?UTTZ_8yTLvG66k(BC*9N7WYWj;Dr-8DAg`PTv&?t
zF4f`*Z^Gz5yhHf?32yWMf*r~|sk%m$?(6ALR**4Sh1im_A)|ej{<N_@oMsd(q*ngA
z{aLb(AU>CztO{v(*iM>MS3(!>RFLo7D$4v@P0i-jWV@x3PJP@*hT7Z6vwsdT|3ot1
zHi>kWSdiBG9#j=mhqVvgF#Gcaaod_A!KQi)4EVMl9*#T!n(LcE-}M&Ey7~kTXT5^z
z!*9Vks1wqHIJa@uYgp6oCCqDi4nM9vh4eX3Aff&-cwBxA`_Dar9+l4^eEADFYySp<
z?{`7h>@QGt^(Pc5%Cc#yz1XTa&K0oZzD0LU)}v$~lVyWho5nC^+Q*dD46<hX?H$-D
zVI2E7Y&@HM(Vb1u@?~W&0@yd5U>1@$g*o%g>ZzJA);S=YZ5tcL{CZAf1~Ygb+AomJ
zzwFHhe{yE8ZaFfQGHbSFlMyqyug#23sW6r)%M?Gnf#!niAYIY~=b!F}j}}|tWNJD*
z|GEHHkC_Au8UeC>tYLelA;_%Lf%@!zz@qy?$w_rEaM1w!`u=eEk`DMx9SRlZCZNf4
zLq7(L1CM`hP=78Ee#cA)v&Zw{rR55UvPg$eha9kO*bG-V`~A=O{h%3I3k@nwur1;|
z3=X>iy_BCo&m~>pS@0XaH}+yi8&sIK*q`<E9?Yhh4QCL{9d1oySiZkAi~H=uCT0aQ
z>rc~J^{*IqA$AGt9?Y|%Cswnp)x6U;A&r%qq_eh{X)J8s8s@t_nd!7Au*4G!SpE0u
zthUXc?JIF&3hzx=DsVo7y$m~d^%e|kuLhf>3`qOz2hR^`z{#*Cp~>Ax*#0{~QZw02
zy2Dal{QYLU80a%k44s}Lo*T1P3@J?)E1xBcJ5-j6zdFK1yJj~rw9P_H`=BY-lzf)X
zd?iYYr{+i}-54!(^ghxgvwqj{GnogSOlO!#3}Tl{T37Fr3=C+Il%;e@9FO!CKHBOD
zGdnGXZq@NZ&r6epJ0Ww0FCD9e@}Ml?&iq22&n*$G>^M6}p9DGKs!&(^RCv1Qt3W!v
z;I5B4sI1llgNr8c%V#v4HSpkG?<o-IKOgq~mkbY1WWi8{t*|M!6t)knhZAbeV9&dh
z2f|*#{MX$7S=gIR+1H;P*lobBZnkF5X#!K8?a%(Rj$j_=mazS@sq9=(7JE}yz=prt
z!OAPknAW~(W<2`{d%WTVE1uHC*2Fe3XXg{_MMxcMU9g|Agd(=9aV<009m!rej%3I5
z{y@FiR@lG(iEwAxQgMH1AO>}mVN~>Ol<xV38;g`E|DOhZ?H)kSX6w)_{#=%psYClG
zYtzMR1E^fkqDPndQT7f^>V2BCu{||t{V1NN&DNlau9`G4tRHu<_a~j~0dzc%^VZsQ
z$qEKj*L8gw%jd#!_Qq8Das(-4aQ=^yCG85cCdF7A`ZU&#&Q{n{ZnXmiJ8`zX*C;;w
zb)ck1&e74Zqh41>QqXrx>XBu}=f1;9bEqK&34=*hPMcI$Y0||O6{`5HK-QLWl=G$=
ze_wuw@2sC;tIb`^`gjFB)6SviZxKzSk7LN0I@~?@5Oyp)fbBK=@$~&NG=5!*3on*p
zLP8n#=_toB@|C#l>OoxZRD+{gJvQHHz!ChOXP0*x7aeTDFVKc=p0{x@Jw%(57x?2H
zzsDDS$3V`7j{4h^=vr@zKF@Q!cQwi4??6iDo`SIvhO~X%2pUyrL2aw~{?K|94cju7
zE^r5OouxB{+q+R`kq6yy^`aU>Z?e<(CL1#^svhk@ub3-&xiK2zGmbmn9O!+K6+O}z
zK{8!KC?RkFU7xE;V`lau)hpfDJ^m%yF1&@+`Dbz2i(_~uzY;&!?L^h71vnrx3wH`>
zX#5}vCo09E$Grvka>!g{Wifbf+#HOrpNC;j7NM|x86G>8gjk%4qnE5hqdPq3*piPU
zg(7Tn*o_0L%kfUhA>5<efbE)uGjcEB*t{D!YTzR*9`S}JOTMD;QHDQzE6|EtDwNIl
zp|1ONso<^wby%2Eb0L2wmmfo7G*IXccj~>-k0$C*qLaqcXh>27MSYE;jnUj$wQDZl
zvCX64=DD<ycl$27@~;Pnlil`U+HC4eUyR37$~k*l7chbxwR9+Ap)#$X`vdQ<y^sH0
zN33oy!}i{}I4mp{C%*GVr49@9wb8^6cE3ce%)8=%Y!sLK9THO?m54opc8k}p>=q|w
zm5N2Ts>B?f<6`@rv*MY`TjFZrm8d)Qmw5E00)FBo?K5^fLnW9ZK6k)gmM(bGI1nE^
zh`@hQi}B}d?oZRnz)L~-_{(rR&Mzp#{&k1(Uv?8JSzW-rrMEHScL#2A`ii$3<jBKc
znF40^qvxLok<y>xr2n4{eVOD$r`CDUK)xs0mpGmNew<4ijN_?oeljhMNGIRZ88j(6
zhgNFj(Sd@Elzns~1-R#t`H&p)7`C3O{Zr`Rj3qR(Ba~(ybfwC<=Cti|Uup{O!tpPU
zWB$nXI9kabpZT8?`<;9vt)0>-3C-OmOmOKC+-g;!;-motYg&Wn-%+4+a4aaAj01~M
zM^IH51ySd1;N%cXs9j<LW_^rcis?|8)IA71w&;SPt`5B1q78ZdbfC0Y7t%)#hQ;ke
zA#9s5l=B(IrX{w}#GmV9Ub;Y2tUvs8od)^yW5BsP9#mJYfs=08@bk%L*c-YVQkxHe
z-G~NwvE>Y?>)!z7>(5|=^b7p?uLm19hVx6x2C)271}rAil6iMKve_~otRi<3`<yY8
z4LrYu-B(Ix83Wd_b&qn`E6W0=cfN=%kJ`!Z9@)e8&)LUHE%veaqr2I?bH(h2QvuuF
zKa&-{PGp;=gt68o<JhM8+U$79TSy#P3JYGj!pPg(gzf8|NNaDs5ij(X;O+<U7;qvF
z&ph9Sul`k_>%bb^F{}>d{?ws#avk=+a2Q=K9>U~?Ds;Mg03Bym;?PwUxWlaiJKHMo
zyXgV^$9J(^i)wIMR6R~`I*#{#NjX>j3>uhS!t=#9@%_h#h~}^HwAU9rJ4}X3^5tp3
zd==_E*pJ5g>(LjlVKjBKImPPR)BJWP`hL)js*?O^<%kd(oe@C+OJex<E}~$$c#^kW
zLH>VM(VX05dUhb0x)-jdIL?lppBG1;W9QME57RlvAdqIR9#1_+kEFTW&ocG0GMO*<
zh;F*A=v%NKAM99%+lnS)j~+vCbLlhjci*kztp)aCgIlFk{jpcmv&p&=x6^qN_1Ytn
zUH3?`MCXLWp?a^RWZ^2w-2aRun7z{J%_gBKKh#J%aYnAx+WC@H_C+so)D$CeV3&(H
z;6RkfCZ>ufQu6<&=)A*ve7`u3rY1^Dl!Q_=rTKZzod!i24Gk)(5K$tlXwlHtP$D5S
znuO|e4zfxqdt_uQAqj==@A>`V>hg!KtJL${_c`zP>m@w%vs5T^r&?&K+ayfWekkmD
z`%##i^H(@bZzO)vQ$&T=8mP8X9|!MRpd_1vqnbT2EMp~3D&LCXTDx&~eHK17E5=zz
zPN0;^d7M?&ge}YO<Nknmc&hdn&N3IL6?gbvrw-4ww9}z06K4`#w58c27SgsZKPs_Y
zM?ueGXusWVqMzwB+AWXV)QV}{f2CwrevEEhJxOo7PEldmNpinfMt`0kq*p(4>Dt(2
z`tT=$PW!r&_YocXv3?k(f2+XmwR6!oFiJS);sy@RYlHsKX6SV)29vY3kp27`yr0?u
z=^c;Yh~zW)-24pk`<}vIohLAP;2|uh`!M3sT|O$>0WKHXLHb5JC{=dAsU7#A#o{3x
zef0$PZF&KJf4qTxKHboFs1HIf4?@Y4;p}XkI8zvqW{G=7vvi)7WqWiy`>vqPI;*F#
z){RE2&C#57C~|D=ReN^YavuB7a}o3T?a6X}`Lf^o0nBU73bt@hFq2sk!hBnUnfmD!
z?7};LRvF>LZY^|UHG7@eLm$Q@9?oQvcDk&ydmNM3kYf%;!`O_EZ(#cBTfF17685?k
zLjUGOXjce^IvWRY4by|;+s8ubL{TUl(aZe_e#*_xYvU%>-Q?c=yTOH*w{ZPx_qfY7
z&pG<n&E3l$;@UFAVU5WsXed^LkHX2&k!1w4_)Ov(aE9Mgy<kpz2wZlGf^8k~uwcs`
zm~e#ehAuq_&ni#Ar&BdRo(R3z0$chXL&Cs&cyNCJ4m*pm-3O)F&tOHSQZk;IIZR~=
z3yqjcjTKwF)PW6|E@Z*ue3{tCVD@uOINPvh8?#v$#}xf{vF>xptZK?0_C6+!X=SFd
zWd?iLYYRSUwl9IDXKiO`r`NE!+g?m_wH;fpF`fNArpP`P{RE|R*Wlx*0`PD0f_YP9
zp!0SnrzyK$K!wAEv$#~D^1iFWu()1f{ZTPoSt7^t)D+MsOA+IJ6_5f(;Uy~>bX_Td
zpPfgb>*_&aBz_fU_P-Zq%y}ss-~Cu9`sbeTaYnmPp}I}DcTJnHUU)~SeCDpO-u#i!
zKj690MDLw2v*?R(_r*csv6~_|PfZ%bmnfiThB|t;OhGvfV|3Xkz=f{!c;|=@mNkcB
z`L$@=P@RNf!8v$N_8_+Mo}@_$7x3=Z8|Yp02vzJqVGaD{@9>f&^+JLF9nqk=x%$*s
zWkLC`9O>yb51Q{3OwNv*NX0&$N`q7Bfp-r1ekdfVn}?|B#4$Rncbc@`pP|3&&(e|Q
z<y5}nIOSNC(D3_vY02VUB(2M5?w8M|vUjS~BJl!!wfA7vhu=apSS?sCDglnAtHJEv
zekg9f2p5CyfR*?Qs8sm?3Ez5PNqsN;jO+!U_dW2k`V+Xhe}K5D@4$QQ8*uY@4c#MN
zgH6(F=<0g|8gt)6+MZ9~dZ`!s?tBN4>%V!<@-VhQRg|^Pm1OVl%doI>quI3AO00B|
zI(z?nB3s-tl{sCS&IW5u*rXE{>~jpqZcngh$!ndM?|fIb@W5hrOW?^C$#}C<Z+zI~
zW4>&bnJ<Ga-Yj^TC*RRu#B<E%u`yNl%x{Jbo1JFD?)=qZhIQka!q8||Bq`2*+xLUd
zm`><=e~s@|RDr1aK{)s~4VFELhRm;lkY?rrf0L|X?%5eU$4VQfEgBDfdaAInSQ!R9
zRY0gP4yI&kfN1VyXz$a9*tnUXJ(+`reBWf}Ja=$A7XYt^!a#I<G~AWj1^FY=;agZ9
zO!GbnVa>;3_pK_(^=p9Z**9S1ntO1p?<IWH?}Y-5KX5TvjM?$I-#Wdq%xdp=p6fD&
zsVp#H3OuV!{wrf;E1X$;iyLbcS;khp2xf-U*Rk^IO{~>8niU$yGOgk9Eb}FQUpy1f
zMCQe@^L9JfX~!t`;=mfVF368}?zu9*xdL{>RFCbRsLYy=j9{NmJcIt|T9|e*6Har>
zz$R1+KB#tb4+|2x{)0aSbr}<FHu>&r^r?~-u68yPI$m=X8VY=baS1*`X~o4t30XU#
z@hn4Og@me5u;{-=!;!Zd%W`uXmw&ft>^WG}@bX2MwY;*Zz{7f#pt=93V4?W~!HbR&
z+&McnuBzCGbCR3O1>W-Kj!JIf#D*tx4}axy!6}Ei_4g~e?}NxK9pBD1`FC;Cy8F3h
z5u%`EEf3p1s=<rwso=V3CN#{pgK3FwaLp_j#%$XHTda1&)8pBYq;?RZ%1%R3;3YV=
zsu^nUJcFwhUm$MO2)2g*9@~vjWlhbK*@SH-EK$yut%_dAW}XXRWknI}?yxxa{9Xzx
zJ($Dp>F#IQ(~qzq_fu?@btSV|U(2>^JkOlk&anciYPO~26g%5h!rB&Rv&7Jy?0K{&
z+vGfrH5Cnjf7m_<4;}#p&7T_kDyL$AP8#2TyofK_cqfSa54`ni1U0^upmDKMv|xoa
z6;G6==;=~)>Xjtf#7fX7YjNr~6QgZBf6~NKl;XWbNw-^+*7b<d7+(o`H*+L8MM_fy
zpGnLaF`E7{Mbd6kri|Ee^e|L|Qlci&xcsTq%J;91-#4K3cX{7g=`4D0U_}|h0?IOC
zl)Y^>?J%$>9Sa8<w#$J&h&k}CI6Jzr&Xxk^b9C9kih2Xh$hg{&q~=be<J=^^13He@
zwJFe@3jVIZ&s0Nh3}Ds2cWC$KA=Xvg#Qdy!tUOVHDx=G=>i&M5^=B`}$EKsaZ!&I<
zPQ-z`ad^f#mj6EN#Jl{*L#N`f;aLKDweH5l;i>rQLI$qi&$C!Z72;p{5}cD;hU&%T
zXg9eQv-BG<r>Y4Too~fImX9#crVC3Odr(;a6H5w*)5|QrhljFsMN5%ZR;p3-3f|*m
zq(f_@4QO!}&)hm}O|7$Lll!i@bTphlUp#gri$X7YmcEouXZq8OEz9ZTq(GXuZaGDP
zKVgC|MVfe$=Yj?FsK=2`=m^Ni$b>$_RB|m+Bhge@(&IgBH5cFEqQkebj_3Jw4J*M&
z{<&(PxDg|AJTT>!HC7c&<t=hbsM$9Xm$nT<#hxER9f_~P5hh=Rm#|N0qA(~-Sug^x
z3`%0(!%-MSs_40I5>9cNfm`@IzzPuuEE>KT&tCS&W%JkJw^K2AZ{u#9AeV{dQ}>~I
zODU#_@x1Tn=g~Ug3K|u(@ocPTIDZcB@oxWxPn1OIiGd8wt5&4c1LH}jX9_vy7*gjh
zOL|>nN0DN#^v;X#_oW8X`!#EcYuZGiZae7c%6O{UxQo)ul4y5ZGI?D~CXJvZqO?Rh
zFg=#E<2F(8=@6cW?LkgpOT$X^DfRVO8jAUgMeS`kiFadOD&2%?pY*X#<B>2oVv$gC
zQ%8e!>34xj+Zs+p?-1u}A>^7%IyfJ%PR`Hh6?gLT3obD1374|8gWH;LgHt=+z}*h4
z;&vJw<2D8D=dv8LIcd>kF6F{b&iY3LxAIUhCm!v~X(qUF`%b%XEgzh?1G;lL4ga}Z
zYm76Owbhl2aCYaWfA-}L_yu!gj)ilnEiv3s?=Eh7R0bz0y^q^`;V|d0_bg{oQO{XT
zZsy|Uo^nkoJ>1Ir|G2IdQgEhsEGXq@!9b`XROE6n-(Ue8_FfJV)|<fkUm`SiWx=7Y
z17NCD4)Xc+(7xj~U^maI82Ao9o{6%%$9NBF@OU<2BLD1tYQZ+{oy+`fy_s8kD9h1^
zVV&EPn6Y#=Ye*_$*Q$@OKJ#)mrK*MvlwD+7Ga6aq6CsoQ)xacH*0G(p&oEBp5bK+f
z!JZdxU{8W(GxwkJY(njMSg~#j><rCnba-NdAJ!G)YrVUe_izaFw#rblxe|HuXZ1mA
z4SFzFlMepTAYM97i`~Xk`l)f`p`u1kjVd%$txQhhe9!r!5?$<2qBTy+<gTtlw?LI@
z&ZyBBA9dPoGl5<@YSO(hExL77o0?usq0RET<jZ@&T2y&A*y9-_wZxFtBpcC?zcG2;
zHKuhBjOl8CG5>FjDDbxdUHgyshsEnrG(Xe%t}vN)81q@`FY09Kqe3-_{Cq4<j&22x
zq^AN=IyC<uUhwV5{M(;!mhcsN&3lZKQrmH8&n+xmb`|GI3ei3NB8GiChaLtsxMFq{
zDo?G%(vAxBx8a?W%c^jSehn%fIEPzKT|m2e4LGow@Z_{>DCN_PHlpp=toabPpXx;Y
zgKu#EKsQ>S{*K=-3}Lv;2+Hsmr%U&wC?`;!n#C1K`n(FYg^nkeaaw%7cM5H^)}y2x
z12U~Jp_{R@C}zNtYKCmcHwI{Zs4eZOm`%mjc65B09qs#SOUj}=Q)iZdHl|uqt^_})
zt23mB71O9yQk&d6)oF(7SUMXkO9A`DNO|KB9+mIGudEZRX1C$`*_ZKj&^bJR^%Rcc
zcRMp93bBRfLk+A>N1<y9?hM|Idc}zt@iGDH)f4fvU>E)~O~RGEDY)7<9StI~@sV~u
zMuhIir-D-cK6)I_M4d(V2j{T0x)GJ+uVcykHk7h?jJM=o;}f6H=&AJ!GtLgDid_<<
zkRwZ<`RD&rGc|q>q)B)Dc*Ybzi`-aYN?iggvM*tD^O7TlY@AOjXBLr_ohMl;`cTyG
zrIgy{M|U^)6T9w5!4*p>eY`i_5_hNSbuM&zr30;zx1kg1#&lhMDrNmvBi&FrT7Gdj
zJze?<y_Gv~g7PI?)p!(@J+txp7(VN+yaGR^J7I6cOf=2V#>GX-IL%fL9d#se+BZ@3
znJtP-o5k>`%}6}wDTjw%D&n8x>X?)=8H+;r?%p&@w7P1KNAwqAy}utWU%nQzXKlxq
z{fT(gHXS$0<YSR{363#4iT1~9_zsy6^`n|`!@Gz0Wz<`&{@aJrkB3oOfh2kIyt&o(
zd^cWSi=UzCQD?s?ow_6-rIUQ-|L7tLNcE-JCc%^xx{gu?qbThF&y1FcC#{%7QkLFL
ze-n2T?{A}+a|yJ|ES5TUY^KPHP-@oqrCJ9k`WkLV=7NdzZ@x4I<$l6>6+(<1%`>AH
z1Y(H2CSEAx4bGDm3JoWkH#YVj6D(<&#XXPN$t^mukDKgxg8QOT$^F+}#Vx#bmix?3
za1vYz7gvzWH4G+muO4sX^vVM{`H}Ou5TBV`Y_A5l_^UKG|689RM!j9&;87(o+nFa2
zd%jgL&^ccqpD|fbwr#jzyw7EuuK`Im$GvoH3`%mW3)VYa(%*5u-aKb=!(Oe>hRo)?
zhKnQ4H~cyOpyBa~fd*HBbmO;k;~GbF=r=CBDrnqud12$P;lYji7q&I7$V_fjwajbO
z`F*%i=Sx+i8C+=$P`KZyn)9LY=;yzU?I)##j<L$Z@`B02-D747FDf_)zg%4+{Jm(c
z@aWH2q4~;mp^NH%;RO9tLYJmX!g;c-!g9kdVV?glVeTqP{O{FRoOe+hBb8?2`|*x=
zbI2QKyjYKA(Fu6_N)~?eD?!DG3N%)~jDxZF(d))1^q1mYnAc<}ho8OL(=@s_&WeH>
z=TU!|AAP;Pf!`G;kn7$I66-IduPe*w#?eZOwyP)qD@|mWaGRoAJ7~hgdlbWed_T}k
z-j{{c-(OB4O?jmIW+Q3v&x$GW-DrGbAsQZ%<C^A2gZ9_QkUwQK+iaxIu4-}2BgmO8
z+`5QoSG%*GNDuZb!ktBgEoP5iEnt!3UD&8a&MaZy9G+ET&sIdwW=f+O6Db$4)3dFa
z^K}dMWg72N3p8c3LwF~$;SBcjBF}dgpUNy0C$Z_DCa}#JYV5A85^GvNni)39uyz$m
zMq5PK=kC97V&)In^O3*rjeiTD-gd&#g%6>0Z99yb-2xvUUWb_mSHXWS!9i^y&mnJs
z4RQ_eX><d8#s-+9D1;(Wg0z$?@cF<sXtulsah|Pkp|=Bk1|LE~WG94pz6PV>kMNrN
z3X?5<f_mIPC>klk2EU23r9Y&Ylbk$@HB(@3f|Z$n{y6ruQG-pnJBj_eF_rb@=&`d?
z4A{#EV-~$?CL1v{i!~`*GT#a-rh1N_KaR6u+<j{%_r!`xXj`%e6|>mvI8&B%fcGJd
z(r3%xPhs!PCNejracqcZoX`F$%V&@!*lBM*%e(YDv~79^#|)o9Lv<@SOuP!GvM<76
z)hgiWTTq*N1g2~`2u*QC(0-r*{_yE{ucx`7`yv;T8}i^!NCDivQwZC-i{bd`Ll7oa
z2KIkW!qC<V*thc>aFPx1L-s0cPH%=kyY517|5G^0vj>c)^g?IXPuM9koH;s(v*)$a
z%z6H3<|wYrq#moYG4)#P^I;t(6+eTe%{67_Z!OqT#<6b>cC7B%9Cq;iJZ9s(fTes|
z#M+L#v74*i*`TsJ8^3=sJN;n+TRbq2SzdEwzn3$n_{xHPTxP`jM0iHsf8&|PE(Ny!
z4$q68@dr}1-ouYq9pG_Q2%AQqfztnqA-FmN0w5lwJi_7eeLoO;x)8#R9ASD92jcfF
z!Mo5Lw2qsDmCzFYJ1PLCYX=?b&T!agF%)0-1*f?o;L{cX$}T$~z;74q%t!+@^IX{I
zQw$n^k3z}BvtZg<2U{esfYyWCP-^`cZo*sed-n~>4gP~I>Ei6|eOV?59n1F39nVr%
z@fmEK&NP@A`|wD>c7{7LyDzS6q|p-gK;EA{To%F(cdupNV>Ymtol)$1^H$a=vz<k)
z+QvRrZf18c^UT!bHEgv+Ad~U%WNVJiWq<4~*{LjD_F_<(<qe6kp$Q-0qGuCaS$_m3
zE9`=SjqdPx^<=n}`itB7y_&0gznP1ip~cx$To(M1cNP3qJ!jKj_|sbDc9M0i`6Qd@
z?s}U^IeLOkeu;vOw=N0#=l>L(cN)h<Ew<+5LYHyMXLfRXc4c$h8;)?lz0Y%>!ftVA
z<ezgAUVYqwS`o0Ul>-e<4GyfF0-NTT!1VzD=`>eRoZ<&#p05L^k2}FOD+T0!?uFHQ
zB~ZYf24;T&Y+bIy@-+|ObHzKDuKx?XH;FN`9rEm)sT#8=n9Smi8L@010h@iynH|~a
z#Z-=mFdM~9><PrNUyGBOwo)c@Uy#SDsfhV%mN1`jhne28BTO#uFq^fdgzauCWK!F+
z*~`S;EYBvAy>W79rL#>~$|iXhcH{wA?#zT`!zRGB^P1f9^HIV!Lj?@K;E6#CcH!l_
z`_PSdQdv4y;A5X!j5&NB{lA>Y!O!RTS$!?<C*hs0qbqU8g0omM@(iDOD@XhF<veeX
z&%pgUi)o2fIO#_%$~#@eLy1DPJKltCl`U9v=pM>Pb>d#b_ZZOf4eK2L;=DHg>=-0X
zEz8G{DXEg<mWd=Dt4o`kjYxftCAoIl()pdvR3pl}9OnAc$SEu6*ve3<dm2s)?4oGQ
z3V!B46ix4&W2kF?G@TG^rQ(c8D%rV)MyW2Rf-UZ3+R5LY3(P2+Kf{XM<QZlb!|3OY
zr#LOX4yT3XW2k2Y=6PA8%W_#9rr#{wm7grE+cHgfw7<GhZSAjy`s&d(Nv2`~!)u0u
zGhK#)BPMc!S8Gdb{EZDSbq(HXFl}Aj*faBJ<FmEA%je!`p~o>}VfrvPVNT0N;b!qY
z!obzV!kb!Wh4URqxbo{=VF|n!e)bv?PBoH5Tc&{D`X=!EJ3W*yFh|n{2VD2w9mPz7
zv8o{oJr^gU*X|7bky?n|5oNf?r5ZDg2-{}d!S736;#c~H1~wzeWsVHplTfAyF<PX^
zv%VjsSy7zQT>4?^Nolu(=xbdhb-awFTMLru<&I1;o|R9^Gm9yHdMO=lK1%Yn$7mq^
z7zK$PrS10)((8_Vn*3)E$@ImLm7^c6l(MFleM<c9_a#=R=i!8ai74on5n5i@%NY+%
zhDC?g!F{v6Agg%-D$kw=b7g{++ph6l`WujJaua4xxdFM0uR*f$RX94~GCcN0_)ml9
zy6kC$NA-<xo`i6)j9_lWRnXPB0RcB#Ai})^s&74l15;kYm!J<&mhcVUMi0TG$s%mt
zcS&|gOP=+Vk7ZS9>MW^l5<9M?$Ko1{8H=)HODt`f(&xEsPWVDL?8p+9yws1Ch6gdJ
ziq$OcZ5VUv3}@2<H!x|34Q!-OID55oEek&!!u~e;vDPkkcG1|08Nat?#m+O>`->CU
zu0lE1a{Lca$uk)9jDLszD}jlryP&gfDev_*g;m2wgN@&NE>fqC6OYf~Hgv4#hWNW}
z$Zb>ZZ_YHX@y;}ES*;1@Up||=>F34OlyBfxKTP6+Joa(l<W6x<+ZwoGTiUs|zut1G
zPD9+43z9IMDME^aCMZ7AhX!#=XnpGl1t}h2E)xs^@tZ(ZECIxqr9rKCK0F#(3Q=3j
z;l`y4@aNez80fhNeZOCW^yq$QJ1~OHzADW!wvA;HO&aWN@iZ3j-%OsF!&u@J7d8pK
z*|Oas%-kiCX|LVMD#Ld%kCA&A8=l3QG;&$_<N|i^&OTQ2d>>n&P{1beyTm%{bY?BR
zi|yDE#V%?4v9$BEnZd*<Y(}^Qo1NMYl>vEhI$i+gtIu)%Yw~Osx+e*5ef}q0J~SPp
zhcCpNYO8T?-&V}XjYGFdiMafBBA%U`h<Qij@yyv+e5JhugOs+RMs^e$zlg;3#v3rS
zDgs|`-GKQAH)0;2$5S_sL2<7*O!wY}&ooof>ue@=j?BjgrU!7@%rX>=K8r6~>(FrH
z6<jUdhW87eVvzPnw5$1v#bqKi_)D5(+7+o#e*&Eo*P%fVV=5hGLwhF9A?5JJ^yB$5
z>SwFzW$;FR7Qd5b|4yKQrOA{knns$JGRV(4i*$Bo(IK5oDpOCRa+XAgGGb{^H-ZlL
zEv4s!4&?J~I_)Y`p!#3m(Ck<Pj_FIq4o_<wXK-JLy7IzjmJNd5?-^Y1ou^z<oD^J@
z)BxRE`cN!86K)K*0O=YFsFyJZg*H>zSY!y2-}T^u)l?8~(t?M#CV<V>aUj#L0_R+n
zVQ;Y#JpQ1>pVL&}UXB{b{2dSZo3$WIN(cJR&w!y_W{|vt1Futa`8kL?D76N_?APmH
z@yZ>bW|0K4d$OSRLJ>5z@lK3qRiOA)2u!sV6jpY^%kIz6U-cinUNMsO?^j^U5+<-N
zwP|djuNj-m&1MbN3z*rVW$fjfH7vk&8(Ywx!0uj8W#Qi0tjMK+P4h2iDYl2$tiyZ;
zo}br7XP2_qdk!$U-h38zG@a?*jAMyrt5~DLT!xFLu+jx1nDbygjJ&@d^d#PLFK4OQ
z#P?nl3O4Ga?U+z};+}@)dk>(3=SkeeXAi1R*W!1b^SHF<9RL4Zi_sO;{JpsndrQya
zpu`z`(0>{elTTy)v(q^BUpZRw@2O+$RTz<e4%-bc;jIgZrMlN~;?7pAtABv;&tIUy
zn~!+4xgT}s4x^@h;*{qmOJ*AtY3~m{Gjw|ru|7TOayO;R@2u%#x;=%PxX|z#5Ayr8
zjLc33lMbyV`=1*~a?}>;Z{AK{KgCdx!46Vb9!=XkwovMq2vXNxP3K1V(U<Cl)VbA`
zbgGT$NQ(wl+R4&H>mSG}?%=fB<ru_&z2cYr5Hj^}%DBJ6ecLL9DJdaBP!kuL_pWbD
zQhrx&I_!nb=8>Er$J1A!@_B*ax6WiiX9U_*Oc-H3I;g(k?n9TxVapFUetz_-QG57k
z;fhm6Le{iM=*c35W(ujoSN8jb;?3p4?H7f@Qo{~m$^5s%7pA|3i^V1I%fHe1Yu|Vb
z=+(uginDO-WP4m|?S^F=S72xFMm!UkfP)$7xIJwj%JP}ZiFQ@EPYZFkI{$lT_X2O0
zf5jO!{Ct9>X-1+F$&S#X5c3)IVUiWCyf}xfKY5T%K@g=DM^ai>EbU#9OskJ)l15ZM
zT}v;f*3wc+TUtgd1CP^B&*S9&_9$&?D&f5h1=Q7_MiYW|l5wv;Wv{X!p98#~&%6uu
zd-E_VToWJlj}UHNxt~+&od)`08{trBK0Hl24Qppz0<$w$;l0u=m>b;!^RBmmM|CsA
zJ>gHaHP_+DfhHJyb_E`kUWPWs%MdZ|GW2<00SD(MXrFWgj=yh)g#0@YVf+B*oO=de
zG~PgLXb;%${Q;?a|ASg%F=q0g6x+tT@&?P5*|yjT>_*{a#y;z_b*oHS&L1mgo;jO!
zjC5w<PK((78D7jc-H&D31hE2{)jZ2&EnCLcvsbp^Y)8p@cHSh6xxQS*_T>k%Kp)<%
z3=5e`m_56wY0e%V(Pgb}YAiEHiUp_rfa4_(pnc2*aM@Z6FPsw~`>YRS?lpygr3&!8
z{R=nd{uOSZ=MdL6E}1hsvYvx~zT6p0ckbUtPp;`-0N3rkf!nN|$Qi%L=4>NMxi`tx
z+}8I^oTT4l?#jK--0I@taO}Dan66cUO?ld|$<+uvjtSuD*?Axz?E~MnLxFESK~~i+
zNLS&{ni_>*cK-<Mol^m0lIp>*^d?9geF)vf@1VC}04ClMVHY}Om`RipQ{Au0TIT4n
zvW;f!+gMxP8|1=PEcIp~*MeEuqzz2dY6p9@Jdt^yPhl5VWw12c9F`@P$5bQpS^9!}
zrWlyZw0C5&n&ebAeMdZ7^)-SmU*f~$UjZAtQk#W-7H4+`JHXqh5N<^|LH4ctoaX9F
zg8k9f!e9JO*$R|+CxSVy=AD8CTb85Ft2MaaIs(JnH(=xW2)@g=4l93#V#>)7oEaL3
zgL!^f73qt%7T&mB+6&i8c%d5e#%tGn@n)$%N_Pg~%<XINz^+IfArgbTw<qAMx)gkL
zDGRex_o0FTKO^M%7wMzVq0@50Zzpb}THg~KY4;Izj{m}%Y*DiCm!-uGO0@B~CaI3s
z<Fj#m27WuEhYs^e-_wg`rUX%BRXDxNi>B|J6KHlF&*bt-r}0y=sqgh(y6c`t*SI{I
zAG(*Wp3Wqvk0}(Z9#1PSM$kc_4>fi3>^Fre<T7I<x$S&}J-bWrhT9UvKYhZUrK-Y}
zgTuIEYihXl(<R}Rl^)M<wF5SrXXfx7s>fqOpi62Ms9CNAN(q8F4FRxg%~GH-UeF=u
z4$>zULb0+dtc{xw0pjyPy>31@mbpUM(?t;L=LymlOJQo*3a}Mh3n#^*;6JNau&Uk-
zX}#(2sXq^9wjKnt_!AI4z6LCh2|+}!1rn<tgO>9LST*z$EP_Ru=yF-+-lxRhizYJP
zn|f?OWEOi<XUiVmb79Y{eb|$h5GKice(GFyGSBI|Sbk9|Qwhmr!#(%1py~On=0pK=
z*;Bw47v-_=<JoLs{vO_^oWLgVXCf_AUnV_`u|7p@7W`L?HGge`5cNEGvj;%dOvtHh
zHx{@^trzb9+AaJLJqc^t?J+QF8CFTJ!-<o&;75}fJe<4({U8RP*loj3&nV;+Hek}1
zFihZkqU%FeVrFzOPN@pQCe2_}?hHY#AFFZvhIQDpY$H1IoU%o?<M7AOZru1K4FgW^
zMKSaJxT)X>rrj&Yj_>Dj$-m1O|ECo%5AgSzA0Khx-!JUv`<hp@Wofjd5<U2)LHe50
zXwywo3VX?s)FNk^E9yya?k(r<Mq%__X)7Jx9Y<sK?dE%Xd&m?s=ul`jnLf>-{0BLd
zIxU;-m#5QVhh)0L^U(dahSL|GX>gBs>1?Udp$r9C>dfv!>s_b${nrM>6eT=um@M3B
ze%-q2Nf=jq>>g+3CI_Fs>%c`mA7^pE5xRn1;MwGbaH@L&$d|Z)i-<F1R62n1R9o1|
z_w>vkS^(}fgU+d@@bQc>WN^kH|Irw<&Y42unOR`|$O>Z28JxQ32u)S4@ZaMlptd*=
z%5>I&S;%&1NKb^xXVPF{Q67+g33QD-1wEzb;I#P_uzhp~uBN|$Yb(FN3*N<7;x&@}
zQ&nL0+s3nR+jJNznX)_vY<kZ;mi^C*ZS)LbOKwH7r*g6ESi)|$vM`MmkIP||&G}3r
zq=<zcEoRy_2iVpR`&oDBK6b7+hZU|(Wv9D$vi<v3vg!xU>|>%nYi*Tg$2;#s%S?VA
zl{^!^(q67)a(?5L?90NWCz`l@%Od<)5QRSflCYk#F#f+hwC3Nbv!)cH(W-s;>k)sx
zeV&W=Z|9)RyDa>%BomXJGO*)*I?j;Gz$L>o@nc;UrdjR9fi!+LUR{JvXG<_MzKp+9
zmg5$l<2TZv0msE%L%W7MsQTt9e)#<!J%|6m{^;R!wqKIsUXP+cM^#efcPG0%^k{0Y
zDXDevd)3c#=&AN%%J*1GmzRW)>hJZm{m&NKDIZHNDG9X9emAY+vti2o9x`!mG6e<f
zri4H7^g=C$5~qigiBABT{cxe#5tej(r8cD|$Wq=w51I`L@q`=C-;?*nX-CIm!l4Rb
z&7sl4I@{|ugIhJZBa;%iH}WUBB$=z+CyjgDcH?K<p?{s+cFCvQp`v@-^_FJtS2S_5
zE6#D{GN(9rbC652%H^u&rE)D?9Otk!l9O2w%t-}#b8CwiaFhGyaBn<ja|!hv_hpQL
z%XQ-axC6IO$Bx@^X)gD8<U($af;V^T=?bnlG@O%Y-@%p3C2^BXvpAcOB5uruGOoy`
zn!7JeT(`{~F7Vq+&fW1lx423KCSQ<)E3ImvDWe0Wd(2>7m;=0S_k>YTSHsqd9nfo&
z3d3vjVX6C3a5b+1@6G)A!|(xgM1O=!TmOOdA-<#kLy7l^YqP|BV^-M1D|2BH8=t^)
z<_~OSokj_4dvh8KTA$C{-j%SyS0|XOSQS%xQO5#%8rYa(WCp&-zV5GQ);%>WLhJ<F
z`o4h0zfE8*{F&iuf)0Zn?;(O>`0n2tE@9hyq3z}b{HRK}X4qFWG#N=2@?*(?XB$d9
z)+F1rT6Fw{7PX0Lk#epkJ$*lc?5)Pr^$X+pS%VtY6{^zCvHVWun+l2Ot5OiE(&%Gq
zH0t3va&Q<=4Id}a<62GHaX^a<^0i4dX9}4o>QIpXG}@}n=Q@k0)Bd+J=;~_&+P;T(
z3*9#)yIMoKsBK8v6AVb@z;r4&tVdv|O969u9`tuDdSIbJ13KgAc&ie9wH!m^cF2->
zxg@1N6d_5?e;C!)k0PDjC=&D<2X{QhIkxvuqW(6H`+XhP48Ou>RU5G|_7dLz#XGaC
z&SQb?IV_Vrhp~z0P^|JizTy3AANnrggx`($BkeM}oV<oR9GlU_?+$i$-^Z-?Px0Hl
zF5Ic~5z_=;QB?R7XJ!3|cOQt*OEF2F>%#k|D@ReI)>uj`QsuqC6G$^wi+UeTp&~gw
z+Nx+k<xh>t(antF*IJOgk~OWf7En|hN6#C9UJU{L+5(hez)`)D4ZWIfNyeMaNcNu*
zsod5ljbBr!EKifnuBuY_!7=oCjx_ywB|^7({!<jc6G<7}i6N8j@cY%PSYdquVcS`p
z@vRL1965+{`M%i*;a)6K%tFWHbX1W|<NX?YaR1*u_{T9F<(6flj8P8OR_Eb{Cxz%=
zbP&1TBe=ZfBqkbGVu?~6R%{dE_NCYPY;YSkW<J6>FJ7VYk#0Qn><5<F4x?QyVzfC)
znx2J^rW0|>d^Tk~z5YFk{^Px4Aq9rCyxoj8cUjYtT3dQ$IEUs~%%`x5g|vE;JGt`S
z8?#Vv+T+E0xmA3~JkyKLobjMFs~6GnEAwb?lRb&=wxKoCOsVggE<Lz6fka&uX#5@t
ziY(+kt%qKs)`462>02#s_*9CSn1xyearkjWD9-%ph97%vae#M4iHzhKx<y(Ttv&&B
zt<-VTDRs=!*1(kDNjTO*7oFA^V(uez3|wZ5``*sOAHGY_@4^Z+{Sl7*ECAmn?ncMW
z8QAbTA8lJputIPWW2|d<k8LAv`tK%=xOX4L-MVmT;urK;!)FG?#OYdvES1%crLm(X
zkj;fDBy-Gwa+}R*m7*=ZTjfldXWVFW<5IdA7EF0*VKky^BYo1}PUCWS(w4b#G-Xsg
zHC&G)i^Z|TETZ{b&_-I8yqZ!1my*iw`ShaHnqJ)1CE*w)8u&V#oQFTd=DoGpnv{i4
z3<B`e?kPCU?Y%H)bCxh!M~U|wsW!etD?#SB$AU4vO5A!;LvA#);^r*3;(m1)bD?FE
zIGI9u?)J>Dg1o|d!K-Pz1P^wq3-an_*nCV+ZdfL6+Nj!=*_e0XT4UIQp~fLy6`qT4
z%mdTs3GHKog<`2Yg&QZO3sa};7e1>#DGctpAk6B!DV+1^iE#Yy9w9er82*fw!egal
zG5h#Lj66OAPt;qZ`|x?VYp*Z5<%MC4Vk~Z~OGSUDd_3^{Feau{qQwftRdIK)XXq6g
zzwgJZr$tGuTAn7SkE7YMb*SR*OxkW`M`i04Q;$y|&3L(iYJz!}%eNGgSdl|kyNl?9
z;$b>ncY-WOou!)cD%z}GLvKG+(ZW+_sB!Eu5)s)?qKRqb))_^!PrK55Rc$&vy%&4@
za`BeF2o~%*BzU8v49QPp;lQWUP`v9ltoX_Ahno69KK>ub-yhCmE{|Y$az?QG=Z7;)
z7{+3w{=rGrKXA%)5X64{f>H6m;P;1L@XTZo)I$D%O6-5Y8i%t29Z}{pD9!?=OR=LD
zWtl_aXtwRjShho7jjg{mf$3yTV&gXGFoS^UY`>E+d!RmxC0wy$={mr`)Q)A`cI5LY
zPV6qsXBqEY*o10VW}E5C970`~nb|xx`r{n-IL?j*Npb8&x;eWu)rcMI*I`ZLG}-W*
zN~}#!mT7O~Gs7ppgX{N~;HT6EYrPs_UjG?TAI0y=uI~lG)D%cEjD?h%4WK)9CEQN+
zgAr%EAjjPU;^*@HzC|7|-`WcrA1;N<gMpwE8wy9~MZ$Tz7|=VF0M{<0K+N1MIPF;g
zt6m=jhtJ1gSX2efioXC8#$JKxhPUC?!-vo(_Zm7L^6XHPAqX5L%92~9m`VF+R;8fI
zEHgCOHcK65I?|9`>7K>Tw{k4B(2-RbyR!UE9&9BnWlw_wS!vx$<|DC|jnG)nx>~|{
zmS#8$HCoT^?q9>o<U-hoSU>h!#DiU|bz(<aY*=(A&mrRb<d(Zfv6T2>{5|0nJn6m+
zl@?{N@?I*Kn5~3==>kZ6sRo{AgM5GQCb!z@2*;)-aWx{VIPJs*+}LV6&Npi|H`C3T
zGYRqL&a7L<{W_Y!sVC)dro)eLyKdETDwQ`l?VM*^{nBsT!bA};YLf$Zer^~3YzoBI
znZR8BY}+5^3c~PZaLzLfqAhknMnMvE>u1A2$bK+eatt=gR6|CN5X}FyK)Ksfn0N9M
z$c-F=^)}*cMZ7%g^;Bhp7bY>8qchloQI>4SXM47P>LQlL&*}<HLs{pUC^qmRmfbtP
zn?3!whxJBf@%!am_Bbt{oz5#@20!xIp@>|z|7|9VHBVuy*2OYyueEH}3OB~_&9T&_
z<Jg_-L5R^8LPFv$SdgU+wV2MW>>AZr98w^x_8Ebn*6XA14QJfi8-PYJ>rq)`3$A{*
z9aVy&F?tX0aI)Hrlcz>v<nwj7x;+%HxUa-<r-N{T=nAxt4MZvH6}Z_U7#EkXLb0u3
z_+ND-wgqg*zgOe%wrUctHA%-(rCc1iu^({(?;)r?gZKZ|p{2=H{J8WEM(^rG-P&%P
z#rr4>O2p{jA~}-GQYMKdylbLVj|M}`h#zg!cJ29ep=SyGYF$BBi`P?*=5|_@98Z;5
zNfb7?hoUkvDO)9nF8J)FK+U~$-6Wg7uT7_U=aZ;IHkR_ntfTsiOQ@)lqtlnQ>BJ-6
zy>Ra_KE8e!4|^=fJxSuYe4VFIW!74O;mdTcO!gyZq^b<d)*C|B4+iQA^WpJ?#UMSO
zzcZh7gJ&v>V93n{qzC4LU!*<MPiN4x$_73zvxGgS=1{|TmHK<kprvmXL{GAWlwCYx
zb)qfE4LL#zf8TD2_Jr7(0nq2T2JCS&w7bW{F_~0wPs@RvSNlOm@fg?|R>2C}Mv(Pv
zhJme*Vb8@65HRsK2z|vEG|4fW7T(<#K8az)43-mT$?P9HuyrMinc*dW7C9n}>CE27
zU_t^DxTdgJ(M;AOmdm6R`CY-sBKBQS%p7j-XN%nnS?keU_PaEl-JPGvX5?&O{`E`P
zg&s@RYc!4-Mg0Krm|9Q|35U8@!$IfdFM(T^yD+(OKqxC=g0sq(VnNq-l($Gmd!<Zt
zd6R=8D|6AsITx3!??pS;Y}^Z(_{2ONU#{DOcjZ%2$~*-_{!7Lsn^KTx8RI~48pir&
zqSJ>Q%&{xLnUTf#Z_8oqS#lCR6sz#p*^Ah1a21maTG6uiG3w2H$N$`Z$AR`?v?)ZA
zlsAv!->0hN{BI)vcRk8Cnn`2lb0m9oF8NPzqw{&o=)mihgzXU&s=b|VIK`1scOr$~
zNFr97LQ)B-ls+<*j5U*~@l+x?74M`2pEpo-Q6R0`w}55`TG4#|eEjhf&y2MEgpO^O
zu<TU^stkAKGce*<k(4P+|6SC0XJUiE`A;y{=XZ=t9BkpbqTX@ZzkhHuw*TdBHUHyO
zHxF@g_xritKi!<w{a0Lv;zKUXsf8Qynz+LTbzJ-Evz&UvF;0^m;+~81Sxuz^ZYUy`
za~`*sJ1(=ATRA(IldaF^Mn)EK-m6PEk&-fQwaOXp=;L$Td0s_vd1(u0X8o8ODtyls
zWd7vN7Ky@54>@R)QU%RsZCF-r1W7kJP_%Rf33Y!MnGpeX-tnOAoeqb*3c)$-7zCcF
z1r?(vu#|fM*Z6L*-K;+l@ko;Cu2W=L?={&9hZ*c=sx`~1a%Ntqeb^oUHLT-AG*jZA
zQ6J+onW))5_9^-htCT*$%66P(+e2&E1^4qz9nZ6!MzxHaeU{CuJj#ZJ7O-`PcC$SP
zLfGXsR;>4s3>({d5q5s#6|yl+g5v}ILNlLD*d<<$h70ea3-7`?XE~f4TqVe)N{TEs
zWN3@23`K-X(+UeIGI=OTmt!Sp6rVM`y+@2c6Nu4Ec`-V;QH+|M#i=<{g1UjvLwZQl
z$QD_8STKqjYWU8uk}|netI?L76X;O57A0(%LJi5&s4ja3oryQ5lTK!I_?`tFk+q>Q
zuQ-ylw54_tJBpcRPq{_*^w`0k#%b7*+&EiOFyrX;dMlFaFeA%gBN_*KB)3_cXEuzd
z;B8~+AD?&ji4&u{;zQWHq8oMnp5ewB{9K4v7C-x2gX3*Z;@!3q9N$oY>Y~}`S-c00
zw<n=*W+G}`kH-Tt@mM}D9ve6CjKy`ku!VP`43zG{uEtEvi^@fXtA%J$T!KY^%W%P~
zay(~Wi?ehaa71boUR~XaJ~tlX?!&JzbEq3XwGLp2>~ISCEKbu!Wl3wk0;yhBB}pGm
zx*$81;%-mp8SJKnCRQ}7iqY23j^uW8KCPXym`-(hQpaN-3VXMV6khw&hf@KRs2M<#
zQ~b#8gb%$b@gPU}1=J-nhu#(m==X3_`m;ud>c^|oeII!m2p>Vsi@R}2RtKglT|)Oc
zM{(zdEIgaP1BX5F$GQs+_;$PzHr~;|%H3n|*C$D|**^lOZvH1+_3V#u?1le?<`yE@
z$VuX+S~*N!rG%NL8obw72WJ+Wp!`@4YdoBBaM=<pHsBp)t&w<KD-KN-q+sCBY^>1S
zj|=V}#Xl1&@QlPI^xt=l=U#PSYv&70I`kQR4E|tC6aVw`RF)ns;d8(IomMkShax47
zY4Hmys{LS3XQda=J{@mzP+37<r`FQz6PqabZVc6ZiK89DL|SupH>Kt#(fhec6men~
z`R<FSv14QC%<phg6A2{uEeomTh7F}f>(D{|p8U}FCz?q&V|;xHZtagiBUOF0yz^Ap
z>Jcb>R5ZWw*Oh94j<+Kx>bQqnUvZpse0h<Zbp9&m`uRHdM)Ddr!kh1V44voF@0W8w
z4wrH+gL&Lar&P}5?hY<aZ#B31yE~V*d^VR?V9fa*p2S(lD{<dvNOLuL!#Ruj-vx8B
z-U+ytXM$Vp_XUeLw+mQdo8Y<99l@854uQsnhXSjM&jm|vzZbmu(kFN_W*E1tUV>X3
zJ&Jqlug1;XG?^=FGvYMkInMl~3+KDskCV9_&dE#0bK-jG+|-aluJge$ZfE{EF6-ts
zZg|!sE@mvx-JxNSkRSv3VXAO?|5PZN!OsmH=Rl&254<?G4n|LkhgYc?uv(`Wq7+ZV
zrnU88xu_Kix?Vwx;3v$VEx{yu6xiFciOeI$kojx|wqx%?W_dG^9UT_MEK(9#(whvX
zxT28Fy?ulkw4Y(Gr0SUNKOwVJxyCM4-()cpZ?T`}uJO5oM&{*E#ZKQTVPW@En2zCc
zW|FMS&du!vsj@}jf1;t`@Oyhy!)gq3>BqgfV`!R)HeJd$pr|Y}+M{ks-qu!h=dvYD
zS!h8yOJ~u5<xGm#G@&#@BT|hqAj{D+$orE%of6fjZcjZbe>{!sW2RBK#WZ^OPnUu&
z>r(z^U8+&irC~Wb^!5$Uvlg35H$G3M!a{9&E;)(PW=*68Q#EMY6LtFQrbhPrl}Y`)
zB1M*uCgUVI>RupCM@CCh$~{r4K0KW2NB_l0wV${l;u}8F>A_~F_qg<R7w#B(jxvQ$
z@x_%#IJoTr)?B%VJ%x9X8+I3MzIEV%)pv32%6mBT-F?(}@et)*p5XcEop@yPOSIE{
zgIyLMu=Gd|ZVdc}66*)>^pznza%vbAW{FUChB%2I8c8EahLk_aldF;fP374QiAz=K
z!YXyz>7zk1)3ivbMVr3Qno4zny0qM0k7V!alfK9dYHyiAzozp199aW0+%kg-f~V8<
zdwO*HsxH}BP9?C?rmQ=f<S#a!l-{e*zXU~k`9+>$Eu?8eq&U5;<TKBbgP8E^EA}n;
zz~2d9@;!=2XxG$^CrX=ftUb?1sv`W?+kkGrFQR8#9d2239#7rkGu&P0P=)vMte$uQ
z^JiVceeWCaf-d2afvdRL@g`m#+lrAscd=#6W3(}Qf&7yS=b!4qwcoy@!=54hf8KgS
zyBMLk6pe6~BaL%oNPdzsVa_-j_MZlYcx#hup$@fI>QhIyA*swTr7as~k=i0lqB?7u
zlP4gxCp-f@5_pFTknuK-M&GlcLO&~7H^H1HD4CMqLIWD}QkVWdm_*<@o|1x;NX|l@
zLO)56U*Rw^YVSj%w{LJa-}U$6nsM$!Au1==;^mOjI40%@ZfYw=Wv>F1P}qx6-!k##
zTfSfPG7U$yrQx?j>F6~l6aQ6ZW8d9ee0X3V_Ddc>(~*Z!t>8EwJbMPEo%zodT#s_Y
zuHtjW7EC;R57(XS#QRg<<0{o}_;1?~=I|b)Ae1Ek6rK+pqew6Is?pmfP0AOaN@Ja-
zlSHfuh3~VV+!&5}RP4#x#fcsccO{vzi>W!pgVG)^p{-8d)V|-F;?H@}_c%|w$nyx?
zBwQ&5=a4qvzbfBoPD!;hsCS|^b$(Z&$W^lRihr59$Mo<_xCdB2l2FH|9L-i0;S=5i
zE#J5m#oCvn%4ZiG{3t-NG-F(qp^Ik@PeQM)nz+A71IJiT#FK^E*nU)(_v9J!Jo8!j
z>=)o!QD>YW?SU%)0?_Gx7>1{9#|Jry80N;GUH9ao2Rnc>w;aRqR+Si&ehI&9y@t;u
zI?&MiIes4BjSZE*aAvd!P5dK8M)$^0-|%s?g=dmHnypWJY-iG=)dHGu%#qBVEui}!
zylB+X<utZyHJPrCAfMq|Xlif_J<^S(F}D1y$vcjI@N=fx88K9;8%6Uo*HUq00R0eK
zOcq(T6c}Sj`p)BNM*K)>TGNe&&#z+S!V)ypipI?=03{|#qqxT<Vb&=>;aA<3M#GN2
z`U4eP1tn!K1a>3kIm;y)-0QSS+@om|xH&$fxl28N1#?B)1q&h%2zr(-5S+f*Xd@YX
zpx*qrL}QQcwnnX&=NeUuzBIxI1>u}~2EwRHXW_%+A;M)pVueRNGKCdm4+_67Ji{}j
z8ilzxT7|(*FNKR9^$7*@MKGyT7MY1Ez6+X+OVf=}@j9Tc{sK&X>W?x%BG7SuJP!U$
z!#sY^BBNEtyO*nRWzl7<KGlIgN4>$lF9*;iUyK5GjiO{bbsGLahxDw>NOheZwFE7u
zQBr~Q({clCeG^MdEK>OMSvEahTuAlBhsgKOF-jj*P9^IrXkvLKg)gZfHu^NBXB?rH
zs(th?J(WVbBgy~Ee7bdkfA-G(ioUjmSny*s&v7iYcKSXH3hY9mU#tY~x*>QqK7_%l
z_uy0c4c=+}1XIV~;G_2&d{6uY&ow__#LqscJoy#=-R^~w?9af|K11-<&k!x_1>-MY
z!9c1XR>}SX@$Y|Nhu3gce@K+=m?z0#u?#CYGm5!*jAd_tX9Wjpu<9ypHcE3EGu>~%
zwvV03)HYkPVP`n@=71gZH=N66Im~C*FE3yfyBD*wo7~yC2oGi);K8=*xwGZCh@BYg
z%EEM=n6-!<tE{nRg<hsCKv|EqjpLm+MM~_)ZE5!FGoR%S>468w9zyf)D^Pc`5>^b9
zz)JCKxYd^cV|H(VJ8%8L=;cBXv2%dVyEgF6*&K9&XF^z~DVVJ{1L(2<;a>st=h#C?
z^n7UD=K&Yn{9&TZ8o13i!}6LqxYw8rDUbzmR{LOl^&z-->Lm0`tAQD2jgWiy2K*;^
z5AHmD0ci_*AZ+z-2+I{=Yi>v}y?J9;qq-V<ZKB1JlBTgaawhBr-<!`5v11J~^V!ry
zch+%gDLd~T#JU%*VG~wIu+qRNCNq2+OB0P|fBEk30ncsBcTN<W|7krN;CZnREtj(5
zi3?b`K4W6FhCH8EgN+y_%lbC{0L>Ha(6Hq!Y&wzwi5r4I%aq@Deij2aPvWMnN#MFR
z=x`x{je^n!UBRg0&(;OU<}{R!EorzFkkT+{-dgWkt#9LhO+>KEC{$2z^NirfK(`=r
zxDw|!dKUNR!xFA5a2qFOmBIZ~IK;u+YR<X0iJPMSn9KXx!<Anf2JNZR@c5|`xU^`2
zLZkusc3Z<)XJ_a+>kV$Ep^!DO9iB-g{g0*d4$JX<|9CqkX)jG$nkY)C=Q{6XljxHo
zBYR6_lccFVNQ0(ONmHV_uTw)bBnmAG86h$nQs4V`9KZf~j-&pl?&p54`yB80>rJ#>
zV~F^%D@5w(O=7nD4k_PUO-2tsBk!)iB^RgtCQV-i;lj`qs4P^1tD4%-!<z-E;x-(s
zc^Me)a{=AvozQpk2+UUTgShn}km48xE9)+S!<l5r&`E>s2RU9LUltJmYrvnI4n^~?
zK&1FZaM8Q~zK$ng3jcbLcej8Ubuu8ky@Tk_;c|->Xpre|<arq`!ED(9RT{XF%gT}n
zr>*nS==MdoY5%6X)ah~s6&zqG7l%wk=5nw5D`<$*efnxq8EpzIrH2;Xp)%Pe^hA9L
z-BNys`UT&mmfSP?PD3RfUsgq<3hQW}z!O?y)ke3ubkjqwALx+P4?1V$FO7dFh;#mm
zp<=8Q#)K%M=?isS?x~9@t4y%cZ61b(*y5dvMab(~g_9pTW2Vz4G+w_0Z)WYoOrgWL
z)A|VBl{${Ax!mNpCC53B>{0AEbQtek*oy|-*{f#fj30EC;%j#+e6iX9gWQyH>98mU
znti2}TkGkUMLFDFBAnJ)?4a6(bLqlb2`c{aIa@KB%&van&iXCZU`4LKu5^B%Rw?e}
zTlwMA{>rsFXDhW1U#@H|uBcp;|D`f4L7HPJn6hK)tJ&k0o~(TP1vbX`3OipcpIx!9
zif!BQf|cm+XNTkYXmZA6YB^JpW?Rpo=>w+p#0DEG5x<<?yuY4KyxmJ>j84-8mmvCc
zNi^;MlSH3;UZ<NHi|8S)ROxYlLQN~Wso?wp+HjZ;&%6`E@nKm!Q=pDoQw&g=^W52A
zWN^lH2ke=#5sN<V#aFe*v6-Cb@=8K*KsyTgYA&K^U?Qh$xQeNZQt@I=DmDtI;C;m;
zEG>=0O)o?75yyi0X|WS)YZjwgyDnZW5km4`4J{fvPqY6>QoiBI?4;kjcz>)!iHf8>
zkxlX@CJ#f2<Cl0MU7o^mfig+#lq>?eS>&43HS%*s2GM~ua(_Vzi8y_QtT#y}Z@iL7
z)Q%)V<&w$i@GIo^ixiSGl1?1{WRb(oIfU;*0m;<na<S4_a#^sBm@j`ywx8@EXJYyY
z6E{fCo}D1fO%XsLN$6{mhhqZj@HAc*9Q{q<MwumO>oD*&kK=pJ{|_FdY=Reec7f}1
z4+x!p91=!-;ElZ>%&_-|GN%A|;1B?7<o&@h^c)Crv$=*F9x!+FHrU6p8KPJKkNGCh
zpP&rkr-h(xyqkC(y2IrOMv=$u>&f2|RdV=xBM*Xh@Fdox*^X|MuUua^UU{;Zu+0Pe
z*|Z1e*@vAW>>{|p^4SEk4_=*N7y9gFjlQmBwKiF^{?%Hn)hki<_2SM-P0{R1lNX+q
zM~})^wuO6CNNszxz-E7|&BIPh+q|iMwm!jGw%#)z+lnpuYU`suiI-8J%&QJH<n?vf
z@amtg<|$p>&WrUt!CQbqyaVTAd13OYyqv^aJU`QN-o0P-ym?c)css8S@K$`}=X7`y
zq~)CwSvI0WiitT9eq~2)^*RyiyNf8jIz`OILx{HNMH1(k&gDVnlQnlK8Ts~<Xyv{m
zwc;bhD@GJ%hR8ywmnLMpm;kZ1f%l3l;c4$ikPSEl$zOco_F8WC-5d*djjuq0ZWgTF
zo(K77O5pR*JuqEX32E;tA=$bdTwj!c)~+1LZcT=w^%o#OY!9s7ZwW)%!f^ap1}RJt
zAb0r)J6U8o$AiB{!&kqg2Fu6khC~U>JR^@K4Jz1rSPj{E++LHa;k*b{R2P_rYFm{t
z;<X}1Cn=yvjyx7C%j5koa=2Yv9*<YZqh+B2PX4QiV-d<IzI_^QIi!YXu4&-XQ7zPW
z*G7>>UEIU%(9fSS#1&b_n2~IXr`F6y*?V(veytf^-fNB$$>u2JXpXPBx_QOSIe2y9
zER=t4j4~YtXtG5Q%?`}KUy>SJ&!K|Wj`FxrQ3^la7smrm!r0tDL5=qOrcsOfY3sEf
z>X`YGZe8C@Z9D4dU-JjF)uWtViY=uxt`<>+h<v(rQy%>-dW$;v<x;WgT)Lv_7M*?c
zHkEu<K=Yc5>9L)6>DjPy8e@&r;6N?i$nlw~Nef-`@+CFqW+<n*9@Avn0L7(4RG@i+
zZd)sa&w3}}`sgXB<SK(2W{S94Q57x5G;y#^2bGfyu+WP0|7MwCe1ip^NV3Mw6Sg?{
z9pI4pLj2Tak2mTUVf~jym^fz<4o5G<WkL)>uq~dOZiSP&&2b6WGkzA*N7HMXINGFy
zq1UBQz?sXm=I6uLX#+H?@ik4TX{H6052)1J5}NFoO_!>t(zk2k>C*3!v}YiMn%W1@
zU9Zp4n*YwyKJ7Dfi0=%&#rjZx)pJxY^E`Fw3#3n<a~|Psk@RG69PPDEr1V%SePVH)
zGAHtAfYlv3da{z{TRo&oC!1;U{B~M%;vMbh&e7WAqqJIC5ZO6mSbu&h_K7Oss=KN<
zD{Kb395=w%oUglklO-B*Sx4G0?D3M(3VbBL2Jd*R!vG~WT-LXl%SGIZu}<6Z#EtDZ
z9<~kteb|EAZn&XGoiko`a6r0t5vGh-qnP(B)D+O>SQiRta!w5SHHSGCSQl-Jtfq$V
zbE$+uJl&msp5rZSr?Wg4(-qYwbZV&zwG)_3jV_O~x81+7<1z2p>+Ww@FUcPE(&zVV
z<N9yxi<cv8=LlD`>q*dGtK~UuzXoldWk5GPoJ*CJ7`lJD1Kt1Gjm|&5kIREP$$88J
zXxH=zYPleuuINdnrK&k}=ST@%=ZAFlgGL%v)lT<Eexxsrhv<Pdf;ez$GJ43$ak>gM
zeC4Z)o0rbQqHR`aQn?W4fdejXaz!z2YIJ7%LEI*C9Q_Xa;=^_Rm>3p>x8H`KziB9z
z+l8X>a0q%B1z~NyAC{z@!0PC|_#@i|H@Ggu2gWAY`dk5{<i}~4@)H^%mrk#_dr;L(
zZR%`R&8k~*EU??9Hm|-L^9;5}^UU(fc@abHJjq?(c=N<Zc-A<^vo-(AJN4u@Z*lck
zp6Zl$yd_?*cxx{<@eX~h;zhnF<Ndjm&zrX42JeGi8gI>xB;MY~mv}A5VtFqPMDtX#
zqj(?mqj}5vVtAjsIUST#BG36$3a>&li{~Vq$6Gb4l-HSqJlB9m-toqE-tNnvcoY9d
zc!Lrmq)S+e-1w_P_6g{bfLZ3`{#Ayo+P#J-=4>PJK}X5?r~q=KDT)NjTp>3PXOl94
zGGf<NN46@r6W)_AWKJj_?BH@<9yu#Q&Qxuf$e#_r<`Xc_aDcqd&G7xP2MA3+2SdUa
zz~y5MER0P8iw7C-PBRB)EH8k|O(oD|au-g0DTOUj#gI~V3l5oNz=tn!;AnXs-q>se
z?N6rA?#l-&eA9`do-|2Si>)+B(4^@HLn;5kd(=m~n@*$*(YyPFu;;EAGX4^n&1ucF
z962rIRtW^T$vEkj7#3}sgt03`(KA8>-OWVs8^^hSUL}H1B#IBFis3hoC(t=2fnL5-
zF=3qyt~$Y;yB$h6#ak8g=4s*&1#Q$8)yEUVhA7D8wHIA6!@VZloaLkyj_$X?wm}|x
z4FSsUvO{Ilg`78SA)XDg!~Ai;!&i9t*nI)&Iap%BK{MR*#27~c^w2n06Lq&JBdL<c
zhG8+hsV#u_p8cW`E$``=?+e;5{g}4pRnR5J3h6iB8&vmY3jOYTnd%>pq20ydv~=bL
zx~MjYE;t@YPZ$N#z9)fHe|0d`NWMVrGQ;Vs_0d$K_#*vrEs=WZr&4pyC$sfoE<M*#
zM9mJ}r+<8_XwTFJ>N>5J)~0t;>uVpWrq)mTRCb&umJ8vvYvR~Wr7&TVB8DAN<8laR
z;F)*>#5uFkmbJi1Gi^E9??Tj@y9`BB9kAep6Mjl@L4kn{_?6*yWXCsS@uAJQMPd^-
zliYxtINiUVnj<!MEJZsTz`Z*xaJ|0~MnBiYm6zp^r!WbN4TtFbQm)os{*dObDWDNr
zSE$MF3v_GW5nAoMo(`MaQHKq)XmFSowK%0feVZletJ&f-!+sLYyfcX&na9l{&Q7Hs
zYvrl2uPXi0u1z%<6Y7*~Nl(A9qcc7_(A+vV8gqOvE&6+$zA*Bq>8rx%$4_x|lgL%-
zn|qzEeP2K|@0C+i^E!IW?K!o#?xCD6fy)s4NB=Vw!FXLsH1k!!y_OnyV+l7`&6<tB
z7Fu)nkv)ceTZM`bTySXHRvf#w58pd_qxa0y80vKnvo!qC=SKkU!a!`<!|}f!`*S;x
zb7)a~5<iR_#OwerOC#9<)vs~)inc!PEaI57-$tmL-V>_1AdCJo@TC{_TGLg#{;^KZ
z7uoU~qm`@k_u5>$KV;h-xRUoM{XEZi=OrHhi&S1>LMBf|H-qQ=;0o`<xr;n@Nhq)I
zDmS}#*u~2VSjD^fc`k4B2$zv1BFZz0?6qwvF0-wUiM6$4w%B(2tJ^B*RoU?UoniC+
zuywiPYVV4R3tv=B`l?u&=)+V>z1~;(c<F`88Ie~j7fcjZro4Pusp8sIxuEiA<&Sh>
zc8{VAoA0K<%ElS9Zf_Q_W;<81!7DbiBjuj#jKTBl_7jopQORVstMMjV*mjrww(Jpm
z*P(;0oHD>ZbP=GVb0w+i{Ao1p>`ZPpJf9A`ETi|#H`1r?57QGX{HYNeMSHeirKYa8
zsBKvV4a;~!{Vd+nS8>C1!&gx>kCnr=CDU=H(rk?8O6~VDYw+nDj<xD=4F9AC;GMom
zJhCzo|4YckC8zT6dPFG>u4A#(z6Ku@*WtI}I*i#@gI#AU@M%XrMtP<nNesbqqb=C1
zp^p(g9n}Bj8qS|%W;1TYMZ!M4O`Kx}$hRL;L35rKh?H{8ey$m8Utj_8J1v24)B>1G
z^WbN`Is8tZ17D(NL3^PIM9Uh(P`M#Mz5%TNG!w3FnF(4FGa>ekK74+v53io-gK@h)
z$iC7Cry70mi_-@^8}4U!^q^!^7up1LLAhQV-mRViOsp1sjnRM=Yt&$Ss|ui&5;)k(
zgNd0892c7k0`-$Y$!`)^&gV4kqx{g6_K)aY7$Ro$2f4HM3-Mg@fe6&~l9q~YqGR1b
zjO<?$<JYaEQ2aTmeAq$+<y(l__ot+W^Jxk&&xmvWbJCsEM!Y6olKZV4#9H|^Szp~t
zwmt15XRP{3+Q<M2ne>|^Z5bs`M<+=02LU+PFANQWVjyZH0k~-@$X()cdg|ptW>^V?
z<y1jKQ3EavbN@%4Hu!VdJqx@z@ArN~u;;E*teXj(=9xkamw^ylU<znv3bW^#fE;(N
z|K2eGf%*E-&**?wmlh<+s6*CwWrz*rvI^fz!5ei6=(86E!2<%2zv3?u5g8=gbv}{A
z+Bd|L{}tKy=_$zxuP4eQH6(Kml60F2vRvgJnO9p%-YmF7jE|R)ZjTZ&u6~DDpDZP_
zPL`20g>sU<m?cHRRitq#=kK1<KpdAnCC^9O$adu}5|{dxe7x|P+-UhhvJa1t$b3Gy
z-XH|Ulf>Z4<|%NpUK)<sD?mw&3e2|CfP$hKP&`>5_S+gkoy{x=8a0D0+bzImuN8!i
zE`S??JlN>X?V}a|TwDndlSCj&jcebU7I41U`Cv-tg4opAaN(vQyvxvmuL>IAs-eVj
z2&7=ShZvOq<%c5PZ_@gwkF0TeMTUbK$VaX>QWw5M&YsI9PF9&*F31(aaluJzXAIeV
zJd#w*3McD-hmy+TP_lkw7@6H2PS)y05i^5W()H>Rku^*rtL0M3-SBJVUsMj6$MG2Q
zrk9cIY)VXS*O9v>PdScdI|)j7OG3_lC0o0O$aN<!S7$&3q$?yqpi~A<zfgiB+~4|%
z;|C<v7($E69GL5339)-@q1|F3Xx&^2ZK<n3lW#3}W;w$SPgi)taJ<1`F8A!{1|Zj5
zVa^d}nA+_KroGF7L@tD;ach|3JO^5;^`Q8?Dja<(1wRIa;0O$oM!OEO%(;e0yvQe_
zQdc>iemDtwa+*xrzKuN8SVgM47Lcm#rsT{49g=!OowQe}kiG-TB*9gM2op8Z)}uwl
zCg~Ghe^a6~%aYW61rnaMg3G&dAx%%VlfSb)NwTFc>8uMPL5-25Y58R`u{4dVm$J!{
zx5Y#=f+h7Y9+Q6$+c>7<Tk`GBcfwW2<OqsD`dLZXc3A=3MKvI>Mi2JZ&4SzfoWFUK
z9mv<NfQuZfe_-BbFdf(hx>6o+b@MThx^f2m;T+_@^8=H(^RUt6Jgm5M4*K_>0VUBR
zATquOJ|A|2N$D%#e!mqQsnvr=<+9*XJ5K&3wvhv3`9yInl$3B9zAY-M1TvrThL-s7
z_?kc3&Wamc;Q0Mw<@3EFtd@)kTV`m_uA{5igz%MY!>AqGA#cupxv0VV_lUA~#+{W*
z^|C4_@o%aW&F`)t!%yzj7Cg6cHgK{PetpGOFQwU5km2XGe^BP-?wP~u{Jo5~l-<U2
zA3M$Cd4=+7IxqA3UuE&6LrZvl(lxxW=vLk%lMg(5sZri8Q&IACx(wMgqDErt4M<jz
zCArbKm}FVFkQV8^<g(8hvcWNgT;=jh>AEy>;!hsgQ&T}+b~F-K$Jd0h86?B&1>xN;
zN%*!>1>|M*Ag9b6-rCv$U&0ztE!hfZy}h8y$qy97L&4;BESO4g-j4PR?z(3~{GNQE
zPQ~z9@(#?`C;_Ti0C^cV!9M;fXih`|bv_NRcC3Y%7rKzU=?9TgyF|>BCU{aNZz_kH
zr_(p{Lg@V6CG`2DHri6ivDGWasqkVU^lTGBy}P2g{-h{oa&_se6~g%ak08oc2;gSq
zM}=wpXv6W0a)kIXJ&hm7@&$0}Y$05&E`n8FlhDp^G8WoMqGX0N9$CY2>KSF6w@VE_
zmvD0cEnSRDG{A#0rs#Xj4An|4(73`H9lUv{P|M&}PHWQLxfoNumU5bcWjMBc85-_c
zifr6s6nwZ4wZ;j)vR#0Kar1Dk>?|yOrjNtFxjOi&5|^Da71Q-aQLcQ9j-TzP??1HD
zfVuVbVoEtJ;y4kSyE5q9-<RoLfhhVoESP3q@S~Y8Pth;dTpo(dVcKcP<><K{qLK#=
z(>vVvg07yVv1Pt=Qj<S*@(rQEwGs5^<v2R{Baz;1Oyl~?n{={B0qt@xqlauCP@OCF
zH27>Q9qfBe&7Oaz28;ht6AkWKZ4l+^_$fFNB!_DcPQwl^Bkx}U$3YvKh2A_%Tym6$
z>i&yx^~#k<3fJP9NLSRW+=Que+c0t0P7Dj(jS<d!@Jjk_)LFd~OP6fL{Bv#?Jnn>k
zEz5Dg7T_$6xj0QyA3Lm7@Zi76SmE@SUN(JAgY>Ft(}Qg4u|JkJaQd}Zd@fYM#gh7U
zs!{Ltljt%20e0khD=WRan!ONK#(uw1%nCj&W?k&c*c>Nhmmh9mP1V|2*`J@-;q<?(
z_Hj}A`Gqw7*sDsvN9)t;Z_R0O2T&0|2Rf^FBkdADK-W$=L(h)~(&V8?y5dX%J)V?7
z-MLxI;g&KwAy`XACtB$9rZ+U^%mA&IouF^(MR66k*TTEXIEUl+uQ_UrmESE;jxspd
zv=Y1dTv2!Sc5I$~2=gAF;CRvJ&|qC4=FGf+bVfK{k%>fusz@{xjzr_zVK|W<jH_Gx
zFel(B22S6O$?sO-_N^A!?yQayaYA_dT`OI4I+MQ6;5?N-l<4t{t87Hu`N|X0lDxX*
ziM;C(?L0RjVbXO`p43}tk`x79l4_?<TJrRWs*Vn^cGM!rDpiSjry}X*mnG;aNv^ny
zlir^q<kUhTV#V=1yLRvsx}2XdY67IcOOQB6iIAW3#7W9?Nuqi{j(7`CBX*h7$uCDk
z@=a+jxi3tJj@}BgB*K+suG&qse2#N`(f}g!FoMinn?TkzWfJ+N1?0-}N^;Gwk%;W*
zA`8O5kv9Q+aQT=x#B0gJi6Bj&H;tgke?Ck|E(Qt9|3JKN8x;NYgnor{u<b@Ld=ZF(
z{O^~5&bk82j-|twgIRF>{tb9AaRWZ|W`WbRbO<}12zK8hA^wUVTrS=L1#21jd_)zR
z*7cLEnkl66fC)MN)s$zJ7Rqj2r9;P^Jn7D%OZ3iIE}gZloCfWvrK`;v=tOrD760!E
zEp=_8s-X?kZO3C;zqpRdo~)&VvudbAOf^lrTTP2gYG_y7Lz?IIm@brRqIUT$G|c)X
zExp}M-NgFnyoKMW)`lVaH-ite_(f3i0jK?VEseozmC!<70}WL;uHb*hxTVw_`-~Rg
z?i4$OU(4`<#2Wll?Sfx^Z^B-$?I<U;2d^jWN4wVtaaO@0?0b6<h1c%KbMJN`8|seE
zD_l`>fdf7`Z-*_L=HVn|ef%M=j6dSUP}l4ibr|6KQL!>AD|?kHp9-MU)HZY43QPLL
zSBWZZ|I5~RG_$AI-Da(3#IsF}f$YJQldP4C7pp&bgvIT?>^F-LwzMsd?P1ed5?aWn
zeW+p&U2bEScztGXZk%A<uZdGuRe^3-o=$}`P3T~qH4TejN?WvCsKDu6)V}-}wct2p
zUDw0uvVHN?pf!#9{LH0?xZDioz#6(l;Tctn>EV1HKj@_jKHPFf48y8raCxjM4)t*?
z&$8L*Hn9M6ZY;s7D^566xdngs?njT-<M_wG4^M>#;onVRDCil5Vqvkk`S3;5?YoFh
zg>iT%D;lq+hha`a04B{ofiq*bq1XFm==a$ar-X4F>gcaD(5i%bSDvNaU)89)Wdut#
z-EDTwKhJxq@`1OKQ6Wuy7UYBVa<bIJg(Qk^A-e0fk=-Y@5tlvg<i@X!WcdSEqO<Nl
zqCCx!{M@*b3~X3N%3ulUF<ng1W-%E!wS-vwSw^5_73pHv5-HX7r2mOKG3?z-O4lDD
zK54#0er*uRt&1R!#p1~q^;F_5olU~~i^)VOB|pzKk`zv#-evWfq}z@Xy<%bb*v&Cj
zQk5WOcsh*q7{g+x`H%zlP;k)^+RZk>ls|i6IQtmbi~E7=&meHz77nL$Vjz0_BCO84
z47!5}pc;|@eDmYs;`10-!GuAU-+2Ho6ZfOJ3(U}601xJ<1H2h01%HsJR0fgZ?=#53
zCqX<K<5Btb;tf_yTY~2JThQ+f99#eLL246ohTb<gPh*S%=ts{0PSfH~?Rx#_(GFi)
zfBFo48GM4)&pAqy%Dw0mjvJJy<4Fs^i|(#CLT_9<L4OLKrEdrP=u3?tswf{uHJ?S(
z?;9^u?RzOy<m+`BHI`3Z1~?98Lk-nVdP-}zc2f(3FVtgblzQ$G#*MG0;6Sqi9$2o4
z#LfWqZkyxEb3C-kT80k<oiXp2J7%}-$7%h?P}}Mp4#@=KQl|^JxiK6YmPVm}Y&1SU
z5{*_EiK7l-s4zJQb-K@DhQ>i$KGzkia{#|t>Ep_>Dfm~uk1DAZ(v9-xXuOX;T{T$1
ze#y(MJeecSJ5!&@D_sADr`99IvG`{Yk2$l*>una~tG^ZTO|l~6L6+o`@LUp}H;X(P
zGbD>0^~kM1(@Cg~26-#0N^HuN$ubuuqTa7aM9wM^X)ZTob+sya?xRV3SLu*E3qw-K
z`FVK<tjN7OJ95}<6=^bGPY!R{MHYWQLLU9~BR^_FiT~D%<YadWp^I~f^sQ3Ds@0G^
zH=l8g?zhCi;TL(s2*PI3DKPDXB9tdghpb&D@Ve6q*sqH@rp<rwFnk+)eRUWfO!I|Z
zvx8uzU<Ah!h=aHMiSX#=RX8e=4kgtY5D=XKg_>!gG&dRgZpJ~$sSA*natizhHo{Q%
z0`SXL2I)inq_!uMYzkgT6!8)-&gl=Azx16|*#@+C-$@!16+_Qs8ddAcp_YRM^zcYA
zg@zJ3sKt5FqKfFw$O3A4`Zhg$^%i|%m`gt`&!LXfa;P5X{huRqi$-#FlE9%tI_7bQ
zy1Cq^e7Z>W+8@$v?<Z98_Y0c6zK0rT_S4cQf2h#`er$d%iWkZyv2t7<r=+Uk>v$b}
z-ENHg*U!TVK^}(D#n|t)8Xd-5@bzqW4C>pBN_~g$)t@7n(S8#1R{NlYgfGI+v)Gbz
z2G=Q`Kv7jsv@6+-bB5foMaltxF6ZHGaT88AI1Ph2Z?NQwFElszA?M}Dq*V?6^h>4#
zy^^O&_lfqhtL7%KqY(?(s4iN$@P0>yiuX;MPd6NGbrdexI;@Yi^>hre_0->D`<bU;
z`=)!ZjZE*niqlRSm8n-lD>H6Bs`LpIVs~HHW)&6f+0zX>*tXs0SzXOI)=A?Uo8xnb
z&0k-~dOmAsg(beRO7i?vDQ7Zu>QbO99!#fq51Z0>Asb3AE~iI%8|WF${nTKc5B<#_
zLbqkc(k$&1YH=}#YI4tzN3q--amfq%$?795K0Qj8Och1Fcxmk5^p1x*^-&~oE{03k
zp_Z;Anlx`l-lu~Y#Q0!FQy?lhMPQ)MMa-I-j4vwEP+@Ks?oqyp=99Cr_SOy5%g@By
zFRtLG$#JN*DF_!EdZ6XHm6#HthbEi(P_m<tDrq`WpZ;jpM`QtS#WgwdZtpI_n-WJ3
zTI7;M7mm%CUq_aldP1aLwvZ_go{<LeXQY3_Q=)49gg8xYB*wb+<n`T0B<*`0S@yY(
zEH8UR#P-&cQo$y2KjbN)W3A-ah7O{U(L>svd?YoU--&wl2sy{{L#lu%_+?3e$u${p
z8&ZPlaT;*dLl>gY8gsLHbEy4c4UC~3j55n$uZklKM6834CpLmc!Bz+q<@V02_Cl%i
ze#rT`AFhq<1N+r`!12X)h!5HXyLLK*(}flAdK$oUCv!0J(S@ilictJ_5=hGYBIi2W
z$jjk-<k<kn!7~gY`JZ=@#D0dzddwi*8^nlF+ehC0lXbi<n$OEDOyxaV7tfQ!Sl(8t
zi@ee^iM+3_8N8^ew|Tp#SMbzK8hLK-x_P(62YJ&L2$Dx)l4Rp<t|wooLkv1+lON-@
zWJ|*e@@wq|Qh9wZndmr4_6P=&?;4RrtobszrkO!RHS);im)vY(eJwFBd`3?8_mCv%
zA4Djg4?fNigB`PFz>b{;A&+&SY{e}2Ze<O<{)^zQ>>6mR+XxA#_kh|zZ%7pJg^t+)
zaJMxCMlc+jFbXbTiGdU~ZeKhl1{xs}{v}?3RtbN2V0R2o{o4w`HOpcD@;TtKT@md5
z3=yRvBrZM?#A1NcH&s66<=z^$ofAA%Db<|LiYN}UeZLfF_F*IX^^FxRNU)=~UoECF
z_m|KQa~9L75({bRHy$l?x2D^k%%i*ub2ts635{$qq{am^sZW4D?cAbIH*s0EXI%~H
z(Et;=>g62z$k~!gi16s_FN<iN)M}b@dOclW&1u<Pz3ADWzBFbun0~B}rYAg;sMY8-
zI)12tF7Dwnp4{rG8|RVX&-z5WB1dWR1`*sPBgJu}Rq%<24%W)e#@IDBXr#If)!o)%
z+t2M-R_2NE*1qWaGZ0l>!%=a5ELJ*S#!Cm1QPC^~f4QdO;H4CFxt@%<F7Y@yIugG-
z2jH_?htam)32%&;W6us*6e{hdSC^*J71?$)xha#?4hgW`RZ_?MepH|2Ki^1Fe)*A}
zh0(<KMIw>SOeHB186<9VCh4Ua<fLsn=~$9VqAahHzmCadv@Vg%sZJn$n-j?T`~>o(
zDv`)%CX?26oVMd_I@z%7Ith-*C8Gs}<iwpa!hNjC_@2k4NA)>bf47@_wE0Zd=lvnK
zg#_TJt{AMmCj~ppm7q&k3ugY938$u-frRG*a1~kvZn+Lnv(yz9b8`g=x(^PUd4tZ=
zQ}BJ}IoNmiJct|!fY+LVu={oZD36?nlYPE$w(U6B$sB+m8Jl41)0MD`-x@SabwTKY
zG*rwRCJORRgzwok;<eM46v^2Ta+sg!-b&^bDNp5*JB17Qx7Al_f0@gUWE^DQ+zVmP
ze2Zm$g5%kB!x!1s(@|{8j9``|oMJUxwzHSgm$S|P&0+5-Dzn;K_}EPXPb;6eWmN8!
z@TlCbu3q^&H?2Z*=->SXU%YJo)sNYH?_6Lz`un(TVOE0ePPk)xJ*makQe?n(;G;0d
z`jF%Cf1JUqZZYG<M=#_}b#UgXTI}H+J$8mCk{ZH8_lvw2)6#j;{kM6Wzg6<I7C+&g
zQ10O+hyCJRdM`xk&Pfq{b2Vb4WJo5KTM^Ok%g8;wjpVTMVY2GjdGc{jB-wE~nar%q
zCVac^k=|qV<dR%BnYm$*NSO=4978GSP*(#dB|{iewSxUd%iy5x1{mWVfM24%u)QJ#
zG?QXs_`nq~9?Sx6Ru8*VOTn<G0-g&#0I7pj&>w*C7VpEsiUMeK$biXdQJ`?h8%}=b
zI4}khaIz?eXg(DozU`aXV|zE!-D`^I_HCc2|Hnx<f2Jb3p3}s`!n)|ju~Fo9&&0ZB
zee^%7hx03SaC~3}n%GRoMoz0dn5=<JgF41={c+cPbu9GYa`b+x<4CCnE-BW;%1$jj
zpfdyI{IqdVpALrE>*0A$x6jAv)MwQjaJ_^fD$h1T?^8x-;%$WAWjWoy6XyvsGeGlP
zeOyMlZ1=<3__j(5=Txd=-)=4&qDc|EMrASl?^Jx$JsG!f`%Wt^r?l_IIPHJ=hpsgq
zpl)A2&=m$f)O@&|KHJtxuO4fr@2wiBG^c<2*<HgaQ>rL9KcLZx$koV5C#yc7iYu$=
zW%(M~bnqdaaC}Uo?>189<fnAgAFk);wuT}@uW4-bd&(c$Pqn*#&|~L@>2Hq-`pc2y
zCQK4VkC)<TabFVUa%507O#uThs$j}lb*%hvIx<sqIe)@Tboyb0)<Ux|pk@wE(VL5@
zDi-J#V~MKg=Hu`7`FQu@eDt}=X&j_2@bhDHjCwg6-||ebOxyrJFVexOBAO_@Q3V6H
z$>G;IlGyxS6x%NGV=4QG@(Mpwwb`%fzOBz`BiAo0Iw5uBl~ED1Li*f1mzvmLr*pPs
z&<LMYy5-VUDw=$ScKKbQ?KW4bJWZi9|E1CMpE7CG$s4piE0@adETG~AcWA=7avIR`
zfI6i-qU!IOsq>YWH2mQkI(zdcYPW^UORoJ(ch(4C!81`jAvOi=+-1=Dxgv(F=e!4>
zr{n%(`Y8U}7~R*JVXdzv9_1KkMciI_Om-0-ytWjV#;m|=bQP{qT#aviR^#hl2Nd8~
zbivz~qnp=aRN2NLm-EVHK+MHX6=T%dppAoK)9{zGG`f0=qWDbCSMlTnm6_X04`)?T
zscl8nFe#Ik9EzvnKSSwO13wzB;Y}m-chSIw8>uPJnd-iFr0~gs+Rj)_pZ&Ln>aTL9
zb=@22tT$Wf-&y-;Yl%0tbUjN00s^Sin^4+$H->skCQ{L!G&*fgHeD!GMBCPv(}el8
z)GM=@Dx`GK6eCX4<M5N-7vw|LY!Pg~JO$4;$l+a{D%O3Tfs3mQG2y-$o_=7B2@mX0
zEqyueWY%&sz4iE$t8YULcVV>kezY<1z`Q0;H2LI(6Dz&&;&Ttw-n<{DckjTHYd7M@
z=W9?SoMSWIx5Vk(EO2>~GM+yrhMkKCsqDrUy6}4u9ZZg=dx}p{weKrw1kvT#bwbpJ
z*TR1JFN@8r^k?H6UD!q!OLl&@4tsLG2J7rKolUPdW~(cBtRDY5_FJGQ`{!OT+Ypn$
zt_jOw8%|ZSE%q(!aAzNz&l_W{ti`CxBQEc%Rg(rDGN$!6tf<+=B{Xi?I(quePAcqi
zjJ9#TXZ+7_dQ0#!{aKez6V~L>f1FR%>-$5>KckI~{r8?mUHVNWj|*Z+i3GL=Dqupt
zCjNb6h^?C~@bLya{D%&he#{N`y6nN%=0|bY?sGWo5rpSO!|~HlG)@=2gayAYqyCvh
z9N3tMPU|mor(PU-{Rzj--T|1Mdjww<xZ(UFg8UiN@khKM3hsGC#}y;!7JU;cKPjFK
zeyL&mcS#0sUFu|V>bWH;y0V_sCVG-(ymQ2KD1c*R1(QS9f{9ma5OKBPGM8-p$@S@6
zGOoTa>E-mq!agU-GNltF;q!5_d+JHzn{b+FE%zn&M9&k~z(8XE_yWmmizH)t7m4V)
zWMcI!gQV-{k}qy0WYtlYxSx7VK6ti~6WiVrwY5Kp`wTvKtT_o((xssNnlf1G&j6?C
z#&9si0!CIc5VL+I^v1Y=XUjH-=;v6lStsDrYc8MZNFb!`ya12Shl6xNB!FiWBy~kX
z&Fye-stbWo1%KFWeF93p?*y|VN2pY^f;+D?;YuU7yGngUN_Ji+M&%wvX2mozRXCML
z_nx#JEmdGYze#1K#(LSR-(qy0!Zd0%U6-C(X+(ANP3Re7LK~Y6shgBO)s2`z!^+jE
z%Wq|xe@31*gh*4)%}qa+Po}G7#c9WCF?z&Dj0&cU(<oMg+O|)nV!vhS4q0VdI$wj{
zKcGt+@0d_sbxS(sHpe+Rx{9U*Y@ixn_s}1Bf*ubKpf@K)(nVVms9XluzrD$)4`x=<
zzYz`elvXDl{_%y*mYSfF_F}lNL>4nT)p5>!0}Nkjfvp!7B5YfO%elE#<ncpz(%lCS
zBnP5hTR6_jiNnOML_DgKipOVXV#&=cls3PPc=8(7nWy0o(?p!PA&SeVIghnDd$6H#
zG45V61FH@G(gdG;8v14p9ZO4NeSeGa_`3y&rpg*}Un!WZbWb5)hi;Qr(ffpV7fFp$
z4QW%TB@!oVi0Jz&()$w0(=wI_J+C0PTgu7Xp!;O+?)$`u+r#EvtsuL^Dbd?hMRb!N
zlE>8z#Qa4INqzc?#1{0BFJ7NHrsFSiJaU};{w4(WW8%=TR~lBBE5YN{8Zh&YF5F#b
z0%bb$;Jt(`eE)3^YBek2z3YEa6X6Dn=5K>l27930<RF+zd&1>JZz#Wb1pJ?JHG;M$
z9Q8N=Ox8~5<obly18X3D$s#x)Zwa0``k;7F3EUrv!ZGJ>1V$Q3^Ss;SNp=i5eep1{
zerQKL=cy9r>2F^08kRR~8pmsTxs%8D|6l62^sFU=KUgo*a9zNb<}UCH_`AR_$Jj>k
z`7Rr=#ql=mt_L>r^@ePoeVS$)m0@Rl<h-|S@cPTPPM#IE(@pwqD;`Pn+9J$(H}-Aj
z%}~F<%TCYcEzfM>NqyiaI?|fto}fJuHS{E(FUJuNfjeZ<o^GP-D+=a8+HmvhBG|U{
z5Udl41li)7U>@@jMyx)<0dHaEpqV0*5~R;Gcvv!LJM5Wlj~p1ubN?~wcb%DIH`X$V
zA}g62?RHG)()rBz789oP*9^uhMukZVkYNsfn9S(k7GZLz0Mqq#0>u9t1Eam8Q1pHT
zo(GJAsN@*vE*gi%(|pYCzx>RFAVFrwWMO8+Q-nE|E6UuuF^So=L5!jI#hAs_V$5Gp
zF-HE;Bqr;zC?o45!kp?CVpLTHnLEn-j6&x>c)f50#(jRlvxEUCOaBaGneSov<{Pjp
z>wr%$+u+8O7MQc45!|cm;L!4FP#a{Sv+O>6$|!|h1x4WX_BNPX=fan=8^G^=4aDc9
z!z+^%2yjh?BgF}@mx+gPk&AFlC>DT3Lu6$nT=9>96_>-okS`q0RfWNt&tb6POgKmc
zM!;doD3H;LfwH<dm??D`^7)hDYE~*li)6tS-CS5Usfc3|-UEU02hcEF4;y`3VV2ix
zSdsM!F1`N=W551^!y`dvY{4Yvr<nwEIdUo!K2L@zQjlXV>B=)AJLQ@BE;;7NRaqvm
zQkt=JnaWrPNiaD(#TcKdB8+#u0HdQd4k|K3AgcHs`fWeK<=9?mQt1TdMJxC|dIIU+
zA3@i$YWUPz2`eMZAk4cM7M;Hhi^{SgOfCyn#HPVFvnw#^_hoQxjf0wJQLt(t3}p2}
zVCl&Ku;v&ep>Iw@-i)Krb@>p?<L!ZA`E3xSx)JuRSqILgjxcli3K*TT7^d+tpflYD
z1ddq3*oYZCF64CZX@;=(ksc%(Yr~}$O(?5SgTUV^(0xt`Z1yXFAeDoM7i6KhQwByj
zPsoCuvY_=u4xUX{gt!0|Sg54|&vbMk;*k+(ES(2hAGkcveg{xa*#ZVDz2RkY032$H
zfy#z7xOce_=Bd^|)$~^&v-TSp$O|y#|0I|>ClwiIc`ZiCWhV2r&6F`F=FH~Z^O!}B
z^BDh`=1kJUS&YLJLuTN&Hlw{)o%vj?$iyv|W*m(tGt~jYjG;Rp6Mt?99@z}Q)wdtO
z$E^oWM|XhMfi`gKd<vaSjWEsPF&K(Jgd@Ca*xig^e3yldKPv#wmV=_(edrCk2Uddj
zAib#!dOw#zkIOwct9&2!8JEL&Tm?*C&BC3H2vA-HUAt@H)aFN!p4b43Wt*XZK7)Oi
zU%=vs4)Bb74L6hCf=}!RDBs%;y;BD`?)M;6o&62^hQlzta}-+i$AGuzAN0={hkNVB
zAy;G^uFm}jef@u-YtAUFlOKj@DZgP`=OFBTH2~7-Umy-X!G;I#q0_h*V#2y%;(a^Z
zCodp4{TUpTYKG?#4RBTK5!g4>z+m(Ph&{r>&lBZPn^p$w0GHXfvlz6+3c<OZV>oo(
z0%!SL7z@Y-QL~%it9b*8*Ib9$O<C|DJ_~jhXMx?!>k#?(I+r1T6NVeIp|CX<a#!63
zDeFS+JuQL5-es_cRzURW2jG?d5JdGGp?;zTjw!u@k8ZDFN%4E|6!-!+^amkKWEk8}
z{R3*o&kQ;XGOtvGnc5>F%yM^8Ca_(UG42&*)}9t+#<{a9I8c}w5a-U7r2@>{m3)ly
zqA}QzGX(10gU~$i73>E-LhZ-5u(+=qatB_4^5j<F*)&6LNIgvcSqocFJpi6|CG>tP
zgUy{KQ1Z0^-p<H_(X-j0FL)gu=4HSR|5RuWxWeUzCBi+q%Uu4&MUMLy3#+`MVRdmN
z=vhX9flxTCR}X_j;i1s&5(;mEL*cM)7%a992li<Ml>UkWS5CW7FA)!{ViNSdN`bi>
zu7N;W4h-cMLhq@2uurH8>gP5<#-CQ0ru_!|qCdlpNxwm3`2;MwAjAkx6=Mvfr!boi
zOEG=&vP{JnIY!{CJQJv>z_=fkXHurgF+@X#d6hhsu_%yWmK+yj&QBI$dVK|$mgoP#
zCif4NCJ#Vd@kjVI)&pNpc0kgsRuEQy0?*+Q^dwY4(hTlg>AVXou?Xaw^T0_Y8wR<v
zRjMZyg#D6Xo!w=)J0lMMX+^;_n=sJy4u;va{tz(d96a_o1rB-M;I4WQ-jwZvssMLT
zIlF;l9{mTe{y0FF*D@|^#vU$x<-zq&R!}^39&~J;4M*CIK+RVlSVwJ0TdfJleN^Fi
zml7QGkcSQ{8IXsma41*;b}5R(o8O|a*;oWNJQ9M~7lLqfw;)`K6a>@lLQujl0$#zB
zz?9RJHGPwUUL!?NlF@)ouk|6J(;Twa*}=ASCvcv+2kejfg0yV}82!EiZmGB7m|+!Y
zy1#_az2Bf-T9A2OD9Idrqs-VUX*1ESM$B-k86%@*$+YNOF)r+U=83umW0pOKVLOeO
zjTX90+$;^IVWtvOvR9g^)tbzR>=tIs7x6J4IN|Yn?*Vw|{Sn4pd*P&57yR4%64vf{
z4rd3OA!Vo$QufzF$Kpp&dF~<XlB<Qaf2%>ptQv&Msz58W3h;Ur9GX%MmG`PaJ+B7t
zzORL4o9jSO=`rk*Xn<LkO)&3LGi=d(2Juf?p*HCy^qlH|e>=M2kV6mrGkOP#Kl?!A
z(kHkh{sp8KeFJ;j?~wNS2Yj&m2_XxALDR=y@W$jfG${Or-RZx;sP!j|77aqz!XHo-
zF#uKxUqOF=KU|#p3A{r4;Mj+^FlNBrLvG!0_k0Jey!H~*AGU(tw-y*tZ-(lPjj${4
zF`SXBgMG0zu+O9ll0Q-quc?H)wdIig{T_U>=bm4WN}<f>4rK2xf!qtlFzsUzZ1FFG
zPg{#XJ*Ws)|0;r<Tg9Msrv$X6N};{tF6X|!2mh2R;8ZOOn;t%Zqa5GibMYe(ywnJy
zMNdJKzYW%UwZo;+ZulGU7K8;qg8Zg0Fz)vqZg2brKiY@D;L|85pZEtSd?tV#=VO%K
z^D!2}{LGJ6e9YRNd`$Jm3Ap0<4;Co>g<EdJuwm722>km4o*(`Oe3hTMyqrEz6@CjB
zWM9Ke^$vJ$`~p@ldIoUd34F||hwpzLLiCnu$nB%>A+&;H>EDAan^F*QD29z81z<Oj
z2Pe<x!mlOS(97I_QtvF7+nWgoA~WEzZ#qccPlNyL(m+Zh4gRg=_F*5>AgCuDPAtlV
z3DqokzV`-9o0|h-zIoucst~TH-2unr_c_hs|1n3o`{QK;40$|*oHgy7N2&)%@JGn!
zKKsR||G-)Pe=y09p9wP+V*HPbFypHxG5I&dn8>r@j7*C-qn07gB#ekL4_;4VmTeVf
zwnYjv&yEN(I@<h<(CUA1dfG7P(m{}4{S_v+f8f~Py`Vj*3q;Ca0CS-QmL6?{!+v$Z
z<X1rn9}7FZ??Kt*J1|mP00*;f!GY|Xu=Ck9_@b2#^wL#$IVTBr4#mUU_i-S@7XwmD
zBEgM@LGQi`FnLul)b9<10`80%-FY6;xjgJ+;paeq`Z-vybPn=PaOciyKUjD3JbZ}^
zfN#>l;A|5LYcwOFt}Yf*?Gm6fDFr-VWx?l(JSdmA3o*YDyt5i$I^Rop+V&Pwe++=q
z<S_{PB*=)I5M%U%BpJR>GK|m(1!kR!GPD1_3KO?(8lyg>!c59jW=<z4G9jIE%&lZ;
z=Jxm$?z)IGT{A@(6+Hn)Wy2W6#Qp-wN!+#Jp1-v<-B2a_5@fQU!s38>E}NkSJVsbZ
z4!H-{R+hjE$cN8cb71^d7F^a$hf8;_fSz{(R61S+vDMM=`9L@v$_{}hp+Imy?Z?$m
zKH%zi4314Z4C}t^g^^#|A!qJpkiP8-rdyrh<Z1`#JGBf(`|RO!96(`+4Ol#$4+pt?
zh|tAmU>-LM=n4}!bH)h9%njk7zX1sOavEnIr%mlLf=#DP!F+)kyx^dBUs`N|nY<YG
z8ahJ5p^Y%1upjg{pMfbD4F5P@x4eHESS`tijTb5OFKmI6vhSfdc^JMJi7+!-rZUCd
zO3c!4nv8s!9@CL!#GHO)%H;o=#q?XwVvf}rGusDdGFFpx7zGavCi%27!yJ)imPSos
zng&Ig!9oFMtmH2od^HGZb)O;W$Xhu2q!ZZcHtu&l1wCkhvfPIteWnUZZ?d3jR1Ui)
z?t-o69f%7ng41>dAYgwRBw}uXwNWlSm(PJ*$83;%dlPOp-UM&?Y`9pN4OWdg;AMXc
z_zZ7@+_?gnx~v#Xf=Xew<$d_Go(1{-DmdCx2Y<|(K%w;+G!(sp<M&^K#Pj#y-P;d#
zkA6Vvo+0qc9D|-)e2nBh0Y+e-5Oc9qn8{5LVNOemGM5xYnc@-=X3d~5qunaR9NI0&
zxR>%XJ&6;Lx$iGb`|}5Ot{jBTeqZ5O#z&|se+zmqyCM4DE3h-;Y5|{S=;*13o$g$p
z$Mqg=<&_|kbPsHk@4!4P1og?cVcw}6=#aSqanCYAolS!yFRpUh>SP#+Pk{UO@epQs
z5f-nEg%!7>A;dWf0=dtaXDC;<=tclfGXj2}<6fO2Aulxw)*g<5*ycERR~HY5wkJV+
zZVI^F%!K$Y*&x-L4@ZRW!t8z);6xqBCq0EsvkrKt`kv!g4uFx`2qbRiXSDi+8C`yH
z=0fxoX7On$#y3}n(UO;Ao)*Y4Q-b7}-D$GS6ge5D=Fe27aoZH8`iMC5-CmR#`z**<
zaOZLS=m=bw_z4><zrdG}_n<8H8fM>n34gD)z=_fZ2o`t<Ykd%I>6gROi966cQ2=Z8
zZ$akK8zAv11Ad)JfuCkcz-eG$>v#-QNpWl-5(<|>gCKqIJlyd11?TA}AtcfZ>}MSS
zS)pB!Bkm5Pb{jxH|364`SPg13mP4-LBB<L7;NH6ce#cotR)9IU-kk-lvyI`~&`h{3
ztp}I5p1g6}bU0S134DGU;PX};6#CWSa6Xr~=AZ?^A7+5>RXs?$Y6L<`W^kKWgOZay
z_{2EE9^Mu(N;wP>BYq%rF9N7eG88Y&fdPqf&~a;m;2%AZv-=MmO%i6J+om!JXO$VN
znbR4&Ju?}}_a@B!jdPgLGBc({)Qqw7nZ-zX7%@tq$1HTwV#Z{rF{d8LG2T}tnbl7w
zF^~5NG7J8WL816B*zmU>^vmCY>-=uu+x!yFsyu^r8=Byl>|?OEsD<Md51{8N3%YIP
z;J^7E#8}=1i7j{FT5B<MCKN&YtwLBOTgYY67r=^+0(i(2!Uo|Y@YN}X?bk}6Jg^i(
zAD6*<k8;RA&VuV}uE$8N1<5;)VS(Zk&?<Wd<`FMpYhV``M)pEK*Z-{Y`2zj(et<;Q
zZ-_1)f!-DW;D<3E^KmynbJ9_OnfgwE@z4-tN`(X&J+4>o?%-#<x#zW}=>+^-Fb3Pd
z4uiSlZ*V#O10oN91)XJ|xV*;qP+rT`(q}qh*Zh}oobNf@d+`L;Rn<d7?L&}!Uj_M^
z6!=b;gVxAhn4VYyQtpM^*?Sun@5zN(w{OBG?dx!>J`?P2q(f3gDuho>0q689ka98^
z&R<D_7^x(9@+uMXCK6#%ND_!~>;$>DS0L#@3VfQL4(;OCz}NQ%6b9!)ux<gAufGEm
z)60RJcmO}vJc2E$&0w^GySJ_0z`5lgVc7XQsLUCLjJyfRTP4WY@8)_RuJ&I$XENhe
zEx{;MPGPpFNir&Z+_Oh(3KP*Wnc1i#&a9T2#H8g3GecbcnzW3M>1Z5<g?+!keefH6
z=Kll@ns2%Ou?rsLzJTr-EpU`=fCk@(uzvRgkUd%f$v5wUmq0OBQ{0A^S~=kHAq&nn
zr^AcRtKcn>1iqW&;lH+62sj)C?X$zdUFiZG(hY*_js74<&w)v*59n!~gtuZxVcS+u
z5H>#qd0cMb#G$?aqv*Wjfo#7pZj(JzBBP<Av`f=<S{m9r^|trW-ZDanY{}j`dynjq
zl@*d1qR1#h#_#_9)gQfm>U})VeV=n(-*X+93|>b6g3H)7>oQdTTt;r(RV+5Xfpt%A
z<5bE69KP}#TdRy9SZ0P9307F)&gKl?xS`jH<p(B2;AvMfGUfBZyQB(2LoN6)zYj`}
zCSb9FkF?u_$!$QA>=sX>p=<J_t*=NWdzGoXQJD^|RHoW{igY_io>UJ{r#4*~>JyNl
z*q6f8%I=x&8{9M?K7lT`K@`63fn9q$LIN7mT2zB6d&(g+zX<XBbFm`#1CBmPM(p)C
zggQs!^50N=dKC!0?Y_9R$`eoaxgy!g8AW^!h-MyT<0UK1K5l{B$7Z-w@DfL~jj(n2
z1?!ogVvXD*IJVz|=-NA2qN<0di8o<Ac>~A9ZbEzfCUjf$u>SL1%o};gYOCkSnr(#O
zlco^4ZHc&Bwg|fX7A2Rwu=HLqxU6HaI4m84$sf_^Py=bfb}arp0GIt7bWM<-jCDn5
zi-Z(?_$^B(KhL0(&NE48wi4AoRU)HsMbfQNpcyJN=v1mK^;JtzuB#Z$Ss_F-viL~+
z1Q!{ojNxI^Z_vn3B;RX;<-P_;y#9<VR^zYY{)m>PId~SBj(sPRaCmzxR^Eufp6n3#
zYX`91F5c*`afdexb!`)Ig31LuD7IPSuZ1O)j=#c{{U(^aXM`Tp7w~`a1as={!@%V>
zxC(CI(2c8zw7&$tZ5Ob?@f@yNpT*?nvk)&mi>EjbiR6p$JH+ZA_Kul7y^rDD&!KwF
z7(3<7VOsJA+uk^1_DwGo>V?3_F%FN)GEvQ4208u)%yRvSb2mq!Z_Psr?}X@_yd)*m
z$kG>kdD5H3p3P+yx^Zk4-J4LM=XaIKsC6dU>dzoCeOY?N`tE|eqGa-63cZ}lOFdQ`
z^x@(#%H;bnv8fX+_01S*Vl~3{N?41RVDrL!h`r5(!j4otVfFva8`1by6^@6ugRx!9
z9}hNqBcA!+dp^2A_>dEph}z@%&>PGZvqIA`3pCW4q1oDm?Ful)Shykb6%DW<_BoRB
zp2EiD3666<LG`XD;C%iRYQfKO`@R7>-Wwr|)xwfY^K*J>g>4CT=q-MWiBFzTD+)wu
zS|lcYlkw_SE}HntacolqhI_j(uW$%G>6|pLj-SpNiBPM#B-Lk4rIP}3RHh|Qmrg5?
z(p3fedsCj?TFOy#n=F0vm8Pi!;xv0mm=enc=%^QarVp8L_;DCcoqdQr*o7#mR;-^}
z4^E3Jd|OkBwq*tQa4QSDx>Awhnt+c+(eQc~j>)DV%-ZXR<W5i22D;*>r8A=J?V-+e
zTTj8)Fnjb0Z~0A-mS6}C$>$IpegLT4hJ)QT{I~NW!uFiOPG4R0?Kp}<yAI;)`@J~+
zSO?+>JD_}58>>>bVvpw*2ru0NZu2c{&S@(`erRL*(p`v5*o#u%!+5W93g6CM!YP+K
zXc&BfE!Acy?`QjI&blH&BM_CxnBMw{o!hr6SZ+rvbmsrTTc(#!Y!spsTcwECSdIjP
zlxXptIaC-qk1BUApuw#R$Ub8pN%zd5OJXXdr>8)YN2ZY+mlXN?iBQ*h0jkmErjM(}
z5w`yirigT-{7f6pZEL_l)MuzWegd_B#4G1qr21q)Wikbi0us<-AA_vy2>2`ugHUS_
zZkGB(bi@b!XT4A%;(-}su4r2P4)qalapyUEmL5*nIo%0we>=i*xf24vIiXYFExf{9
zpk3pN4YnS*)#{D*a(`^N5CU$di?kcXp-nIqR~BdEc*jTf=POxObv<sFv|+=&9xT~4
zgr#*8P`krTduQ;|^xcB=<u`j5Mn$RrusFGMOHc!s1f4l4PUn@yX#E)x%3C5tY0N7)
zS<g$`8o0>x#UwISMv$2@fJEJH$VqkJSZ5Q$TkBBFTLt?ArLZn8z*W6$Y}=5I;pItK
zav&By&Jhsd48>mS05+TFgID4nY)9`qC{1%>vxIiI=xq&+sg{@(Y6g?jFHyA85F1ZE
zLxt@F1c=;5c;z)%e!qxlowG0$V%(hSafk&UhPBH9yyf19wBNfC@<<1IzPs?rY!^({
z>A<FbH|`nj!`1zVa6|7nlzGqK#=0v=+I$zmIxirbZHiXmH#o*JyIrpNBJ&N?mPS&s
z=uHtG&Z-B;ou3$17{lpfeAIA2l)lBt(8@*f^yRrS-M==6sw!0pVe`n2dmcqj&LPfP
z72+wKNzQZR=;%xt`u9tWzGVqgWD+lJ>f|7~xMA#7>qFGCPFNH)!=t$la<?ndbCc;x
zW%<ZA&%$=cG@Sj(bQ9B9WSxyf#IrDLt_Z@mv;Nqr?gQ_|p4g@5hM{g3^anX(8Phk9
z{j^8eV>`?}VvC37Hkcx711^3WXq~aa-bJ=J`p^y|TO6R^$DXyT3%0Cuhr=^(G~N%u
z0@W~_v5Us$xFj54vCHA(h2Y_+M8WN^NLKFvA6Fk{r;MP`ijz|MdC9zM3SB%RLea|N
z)V5rbgiWL<KvbH%K1-1U>%;dQm!Llz#i%w$n0(8okZ&j-`JCjYi+z)5lpcY&)&Q0n
z|HPUfZ76%z2%U|!a9>t|fn&uu8I=dD&V*lg3a%E%<7ssizVL=4`a}?pSNr1VZBLw9
z<ch6A&XDA{$2X=Mj2y8<6nke3XS~EnfB}qMpRn1odnm1CdFut25ZH4DZrgRy{`D{-
zg7(4jJv%@8wjuoXCbTc#h-Vwt!oYqNq}MEmyXF%7d$$O=m(^h#u>jlj=i^DoJQR=3
zgKph?tbD76tYeFyv1uvt^;coWx(yhN*ot<kec0-M5-)tOV}p)9R^K$oJ}pPohWcP{
zbQE4v7Mhn<L1x`|s1A-|<`sVWA|*lBrpwV5X%!0en@4R=7gE>7#pHEp2`xLhn6AYx
zr0$UU^w@ni4Ry^VoAzmR>9Zsa^a<0Qqx^J8nf0#0qd3;y5BFbPXo_n^`24Rd@8L5R
zm4AXkdlBnJ@}a#q8&e!Uz=C-l)2AiDaBn=St75R(FADwX5zOCtkGEgK@VY4!Myo=R
z+8%<>Js}7@5Q@1o*t@44j*Q0l7-)%v)xj7XUmcHcR!NXMn1)faOeoLJ!+oV9l-&M=
zm?@v3^|>DNvsy3~`yDR!J#13+H+VdU!D};)#(x}ivyu5`7kFsKD_*)q%ty21qoBvk
zlN{rvB4u8BF~Ch(kGSam2M${9JC2yUBiP0>h~|rZSR48iMU5RO6>i1D4XhV=T8q4b
zN;IjJK`7`WWVG_IVki@<i__qrorH#lI4qKn#?Ke;@l-Gr7t#Xp-#b4X_VvcIFCN%S
zZU|{`K~97-wx>Emm)`+Fj&`_m-4^$4ZJ;e=1KyT5cqV6qSs6CqueU|~J$uMFJ7VrG
zrmeGn;;(}zS~UIe)-D*YeIj6SB_3g|X;{ylhrpy#n0D8I?+L4cSN+7Y-+$N+iU|~@
za+Aw9emeX{hz$Ki>4UHYStUx+1urR@mn%g{8dB8ID?zX1#Hl@Bgbqjuk(ZbN1=jJ<
zd1Fo*T{DK0R|hd3^a~q!J5lng1+JR)$daqZ{)J`uqgRNVZQ0;7O=q)ENw~W+7Td2y
z;Am6`x@QEyFxVSuN8NFIo(r60nbt7J78!e)C*op`*Apgae_;fbHTnn*eTW4IZ^L`p
zH5}P-0gZ3}!%U^)INNd%mmBxs&h(v3Puj|I#EI=(-+(RgEbIR4Dnwjej*8kP$V$+F
zuk<2}O{hcMTpgPW)bXl%A+k#}u(4t(rc7CdW$x=(9kU6?*}47O_y~@;pNG!Ed#GDw
z451P$eE;EsS#E)7`5KRlj`@gmsDqnjH@@+3P-Z&Q|Kz3Ue(DU;Uq6e&w#=tb)(a`1
zSA#OnET#=y8q_bWPD1RQc8*XXoiTZ;5n%qJj06?$6C&rYymTp_gYL2Z&A_)8Gi$%&
zNoF%LcYlGxttxa$mf?W<M|ef#Lc=~2C(F`s<Ww@+)+S)tg;+$?M&XlV1jgLLaiupD
z+;2iy-Z9%9mBBpjV?k)z8H7XbL8#gnjM^I^$QlfVPfs}h9gSq`mSf;xACE2PS#1}R
zj=yKJp=(?KZJttOeXfK^R~=mEG-K`E4!n%(hE>S`dfyF0V0;{_uX566BW`-OhL@h1
z^U(r!o(z8Gr-n*?T5+DAmcHR5ol{JM_{vSK%!fTZm4mic{=?-Je-VFi0EZv-pyp90
zw%+@OGxr+V9_KpbdR8Hzx(s7;n095Khi1hr{9)fwvuhHPtm4?&7KK%f;TYNwg8sY!
zm_PKzq5WP^JLV2`>vt&m?TpsfjtJGYN8?5IokYCB#9C`8N?2jhiq{x=Z;440OE_j(
zBKO8?9JIAU;Ho$9x@L>hs~s@H?y`}5S5$j=L1P8ef8T^*W@HRnY*WCg#{85kB?wwp
zgA%5X-zobE!*xS=xRQe;M0qLIa0+d{B|_r~;xuEE6va+TlX!;=DGbZdcP$xOTq#9o
z^Cf7hrWk2&5vKM0Q%L+RFRc>cqSJk2kSJk(Y|bxmwS9;6@)l$yf5C%CRj|2H3g5Q{
zF!-CrSp76;ZcRk);uw6`{2r|@f}z;#2k&!U$QN*fQmHe}Mcd;#^B9*`TB20s70#b~
ziKUeW5KMZ4TjO_e?#>OAPrZbcuG3im<2YW+9>TER9`p`w2WP-$v>I%Lp6MDS$FBgt
z<PtQ!RfqJhd8kyMjmULMNO>*~hk<D@_h9?GO(ZcrTnrs@BCz``h`C(?FgeMObS*yI
z^x?%4M_wpu@ZpFBKi=g|K_`z0l<!EuZM`g<JZ3_#QWg5j%dn|R3oMunHo@ny?fO$(
zX|sUOunP>vLa_K-8jc!PV4g`QMs7`_V7m|{T1=%C<4TmIuz)t*UP48VD{1dOO$u<;
zBo41tq#L)4689`3o?oi8XNoeJvwlQ#jTF7B6efe;d^9_dlk6LrUTEHr<kdf5RsIc`
zOxMagT8A&ws`1~Ya#SrZh10zvSjrc&emWo1%yQAZAqTG7O#kuD!ZPhFM6Aie;6qm1
zGmX`tl+~K;Ij}_@=C$NwX=WiL8;h`$>A;s#KB41QC6;af4F3&vu-y6;TMjqj`q@_S
z{nw77jh(nR`~%|8dvH3d7faLo5q0S|>oJ(e7Bq-~RYNSBbO>SULwN5vh<@g`sU81~
zm0A7x(AtZM>>k{>`4g5uIuWeZfviX0aOzz%jKdlb8uta+DK%J{Q-zkwa_s6Yg{53E
zE*>ky*@!%RQp`bpcqSZmKY&{!4YTK^U~)$i{NE)&Q!XBZ#j#L}kHMC@Xk=?fLz8KD
zlo^G`y-~P)B^q~@#vn~67Gmjf2sUB;YCsY@pP5$mI~|1zS-9qw3$d$(aCuRJO!oKp
zAODO^{PnOYXhO*AHbiagf@5(H5)}pzt}uiti6hwXg=us5CRv^e2Ti@rNxQ2!>1hWi
zy$I$cQDsg#$Fz!1W)lb;`G>btMldU%d5~befaxz*Q~W@$e+M+3S^@n=e7W!iAqPG~
zN2dZWj+BBPd<1WJ9`e}FOylMU#EhrFFCr1zrg3aXMKsz%B9J&921(}US1$>|-01<h
zzuFI`_CC13$QvI-ys&AdC$@!q;Lalt6uNuBdzL3G#l5ilnl}!t@x}I+{>--vf|n=L
zWgkaCvN;BA<%u}ID;+Z1b8sf@BLv@-BkN-=%av_LN9uP>Ti1)tuZIw7JdR$*O8si$
zq4_8HspsSry7yI(T+4)L%?e?fAudd>FA0&`RzXru5g?x`ruF&q5a%i`+Od9;u`?rZ
zUGoS3?3ge8y%S5ee8chB28^t&MOJeKzWSG7t5pFOyv>GUemc&`C1cPw4#f+jP}Rfw
zLRROSfAPa>es4Tw=V~w8AD?v73E!95qeR&T!fUMHq0e-Nels{YnLtp_7}7?D*y-~E
zg*ngg?BNp(=08G6?nB5k-)T(z5w^T~jBOmx7@PD0cQuT#ON-4)2%96;hwVd@vd6?V
z7eps`!DF0h@f)M@^nNPzZSwK{ZYA3OG+|DCH(c5G%6o{Lgl<itl|o{)cUX!<1*egy
z!VKCfr$8%56zFA!0u{cLr}7JORAs@KpPACMYlk?=vFBz#$xlK#+~lA>iM0ZM@mjqX
z!oJ_J|5h_<ZR+rVrxHfF#qcZ5!+E((y!1`MiVN{rav};DhGB@W4#cH{zHtBN0rSFl
zNJw=851U<e5PgHPYnC|v(+pFsUP5`FAtG))Lxk}Ih&Ss&%j_D?J-dj@*=I2S%t=_B
zI0oOOL+CNykNY`$AY-P3gu0z@Dc*s1cXq(EWe3hPeIdngH;Q}rA<B!*W~J(4-p%u{
zYP*4?J&(b|o_X3COQ_g7V77=SBEN=U_rC-jJ(P#pIn{6y>_BV95L9cp>8}tw^U|cq
z*+Y&vE-De%=h^f+Ta{kTm`~H&=g|@^RZ2WPn+}^Pk>1D*Y8shJFR~?w&s3O%FYr?$
ztAl@d{KM?#0puk7z*6OJu#x)8>ZEFXzgULrQH3x&mII5!AE54?4C7_-=og3v*Ub0W
z&$P6g69Gue_r;B3FPvi<!}8azn7PvhJUY&}>*xrdc@B6WWDnC#c9>aXi}fY8uw7_}
zs~q+S*zEu-Whb~By~XCIu6QBsiT@7!;_9{_H2e%l>E>80-jjkHu55_yE5iBNRZ#t}
z0Z-~Xpm(hg!*wIjdB91$F}#%alD#)&!nFH|7!}@SK5QiOYZpmTPM;(x@k-M4=i-!f
zQ<UZm2vLFJ6e<_xqp4L~^o45@WjltE>(meLzdt~a+n_hA5gDU3xWrk3pR0-y<(`MD
zOEPh>KLthg@ksd<h3m{)T5T2t&nbS`{oWHZ?zw{dxHA^~XOGWDZ*U{W68C4lg01IE
z7_T<O(XUS-Z+IVG|J{Poqbo=(X8X@ho`UqkW4N~dAbf52;MT&OI4ZLZExR`%s(B+m
zRIJ16MQd<oauuBRuSCnL6$s5-j=Q`ouuy&_f>c(cOLHxrn{7nUiY>TwcNb>gJA{dw
zYzLJ44Q$hV4*yg$JlkrAEjvAsSI&Ip@?>mYT!iC^U!gO-7uNk8l)6cfF0g(;{n!jj
zxS&EZOlz<nV7#38BD#8F5e4@$-i2=gIWWCy@vsv0KAu5tsWQYpCPs(P3(}Y*FO^N>
zpuZzSh<fo0$;pg`@MuDbTpj!QRzlRT1aBP+pu@b=Rc;@!+&cv&e-a>KAB%mDqo5S<
z9#f`=!Kfk_m6d^*oEd=lct33O@P%ES5B^>Ef$m8k^hWqV^Qtd8ZT%3c9>C^?g3$bl
z`L^G}vE*qKmb=7(Z+$Xuo%;ZOzFY*!6=Be>93v-cF?zCzW$Si;!?_2u%>Uq_`ad*>
zanKFMF`RB>JXtM2%{VrN{u~jc(~NoeRVYZhn+0iP#}umQ;-`#7eDru84@I|gQdQ>!
zs<KAVa_bM|xO<`Xx(hwBZTJz<h_@%|@Sjo@q`1m(nCamib68z*H3LHxDR4fO07+5C
zue7{JL|q7shXN43+7}I8o*2?_gUolP5#>8Vz0wXvtS_v%YXt#OON2JO!ix@5G^(4R
zFplZIrbZYKFvJoCL;UDBz@tUXYiVFv7E_FI>BCFL0GVOUggGRA*`J?cho|eEp}EVQ
z&06{40DI0pUt{sbARV^`3m~jmg*l&_pwjUZ&qRh{JIP7!qxngdX?EQX5;R{=h9b{T
zqYhm;O5QVr2s7v#<Y@l&X%yBXLoWG}bZV0r^*t1#He-IeV!%ye?3?OR{R?B0UdFt2
z;-Pp8=5G0d71@kOGAm)6V?OFDGSRU&6)SiW(AyaWzkgxauNeegPhS|TdE#sRJLJB1
zLcNb2`r@s@`@;fT*P4Ml#267P43M1i7{*LvyTE$``zJ2KLgNg4Tu#7x{b5AP@5A@i
zyWr=r4HHW@;gjq}eA%`Z?FFka;JqAI>zCl<3k~GDEJW36b!@+(hRPjkc-X0i$<qsQ
zsZs-5&n?3o&DDr8+JO8!TfvRJ;FzzA{L5EyWW!T%-Z4W!t{tR8J+V^tJ-QdB!_ch^
zN0+z4-D!}Wl{}=pQ<OTc$<m~!BDI>%rH>_QbY_hPjYPA)krvZBnMEXfZvibzm_wV_
zDv`nwInq8TO{UivYnH=Un}^)ATxlF1X8i&E{)sfhHWZ{cV5&<Egg7eT*H(;n%>oSn
zVXT@+2CSZ@LTzmlu4%_Z(mMu1o1>t$Bm$4GghT6BDDpEyP}LEP@YBKIVBBWOnPBYd
z4@NQ5W6U>&!BF%)R_%ynJW4d$72?sAkOZE*G+1xW0x{pB?m;o)r7Pe+RD)cBMtCf1
z!xLS`X<z6A&ypdOyE8V5F>YsXb1~h8hY})qNhO+(dYO-3d6l0kX7SUv2YhtxIxpFa
z@{q@6E?RHOLBs81aJ)OrSn1!WAO3}h5<k$R*p8G%&DgcI9-D7`Mo~~Xs>h0P`Fa7W
zMzZle-~(jur@-ez0zw|gU{`bmqQzN1=M=;|dw;aC%$7JsPgw19Lt~5!9&Tssw~QkS
zX4qr@X<IaXe}mKnYt&a;p+Vb<=~h<o-f4vm-B!5B{RZ<~ZNQywhsXzx_*C{529<6o
zu<*wBu>jm#6b@abSbQi=VIDvZW-l#)Tk2={gf-*8&p#l<JBSry6X0IYLmS-%DEm3n
zzca)rMMskIq@>AMP=<<@%FsF|X&T=mMYTsINU%$kcqN7D*)IWVablW*5*Nv8jzePU
z5SD56;_K~B#vQj{>zR7|om-8c%4N{lSBR15YzS;gM=wtjHul9JfF}YI8$)o&%b)SV
z-dI-XhEnUdczKt>KM!mm?(`bdDqg{9z6s-?4B@l)8RK#9<K~Q8a4EWs*s!zEO4mi_
z<YBzJy$_3}c41-rR!DXNIr8ga`f@b{m6yZ#j|NgX)v<#0j#{;|F*j5hM~h~{T}vMO
zrR5N@ZyMzIWWiFpP&joeR=Q2a$WK{>&z3{S6$M1MDTAM7z6q_@fQ;p8pm!5aMeM_v
z)LE>*a38|IP4K0|4%<Dwk*N@k|8#O7K2`(es%})PaZ+Wk5bfVPm2~SB>9PDgdJ?>d
zPApzV=Zsg-6|WUEJ!%<MaxbPI6AS32#2gCppGi_vr%_9g1o>DCkz*S#876WNhukne
zB=^D;ov3@;g4ZGS@H_Jv$3n|t`mh8kiG`ScJ`a+&voW(S19zR%krtGSX2BF>q$WW$
zJrRmxiO7m%d+z)aVE7{e2TT%CcRvZTY02<Ck%|ZV(vjqz0s9Tv=v$n}>ZU@t4i%$|
z^^N!AtMKZ}|9OiB^j>U1^ZRzFHg}=%dk==A`_axAOk(wk1=Dn6W{o56;{<+uo5W0}
zOGqx|poe8_E+cLNi)W5w{?vak4j#tK_Ca{o3}EtgFVrNvk$0yP=abs-w6_^&6&i4I
zM;+pyRiiGc9QXK2;dt>QiW>5;`BpaC6f$tCn=v#ENm%@w@g0j}*?dG4I@Kds{S$`o
zogwV!8H_OfKs=ru!0sA<jIHs5Xq+$7Uijj=moH-F{jg`$5C1j<;80&6{G~$R8y?0q
zTgDL_h(Xl31bFqOV0<V8VtRRav#*#1^Re?xybdinO=z|5K<=I%__hB=wE8Fxac~fM
za?#9hJhVHVkIv2&pkV1KWN12tbf2^SX+nS?DL|>&d}OJ}OY@d-(@bGbD!)07UxvfT
zzW5u)8o!|Xvy;tld;`z5Mu=$DL07E`vP;UKdGI5eoO1DUGy|&)Qjs~2X)ug4{n8cz
z_mNP>od;p6gC9I+c*DBL9S8m2AvlC(+cY@fiIyFdKEFYxw-u%aTH?|VbG*}g1+9%{
z2-Y=4f0+qHyiHJDYXW{lQ`WzlVN%B&r<mu>bCK~qJ+_cv<b+JdJcjdnW5xSGRB1#Y
z=T!opM`l3T=_7a)t6|1;I{imKajSj^f4MnH<tQJ;L5QSW#ONl|KB5Jt5`Uj88GmPC
z-2KyNrTjE{@_Z@<EtRGRx)O9iUX(^{1u49ak2Hk1DgVv{`r3w2WYCKZ2RfPl(1Q6)
zOOVm7LYiDDbQTog#N8}t52V7#H-Ys#(MWw0j;@>_<SDUzYTlmMve^~q1e`Ig+YSo9
ztg%PL62aPL(DF3KdT|59uXv1)&+g#zpKH){y#Ncn|Il;i7+ky$AmyJ9-Wq7bL1Pn^
z2y9@Sf+mDkEN2?71`hD4VPp7QnCh!Q<LOLz`^h1GY%0o4q%cV0Xj>%$x*~|oul(5S
z!i%GU+~AVnf>|pEtQT-#)!?L-<s}ZtTX4eS1vi#m<zq90g4mrWhCi-Tv0$+xj^xir
zRoF^|E!m3IAxEKc^(Ia<vD)em^RYO6vCbk6_j(Fp&V0w;LVxjy_38q`QdBQDlVmyO
zk@w2QB&4&FOolWmS#~Xz6ls#ze=F(q<|V{2zJQ(x%_iPfdAjpOhC-K#QKi%rnt07k
z=eCSv#QhKEiuAzdVF$#S7A#m+&*l$maN%nu`r<x8R-hEe@{3^lqY%1R3osA)xO<iD
ztZQW&abPYU#N|R?C=WXW^H6S@kB@-`aN_@nX}(2pWvp%d^D?Z7DaR~{Dp=cmM*93Z
zc5c?=nrS1VS27*{%Qw8a)Pd28PP~!)30wIdOz-@K6F2(M;NQ=5n*m&(`5VuU{bsq|
zzp;$z!lr@)STx!PEAL*^@%_Tr#ob7m`vcj%-?7fV9a_`A!QZ4AZ7mHDXZ+tM{aT#<
zSPcipk+t0Ygo|HFFv@zk<&6b+Y?KFn%E36(f3GNJKxb1rf~*-2!IQ%NUy=~~G!aXU
z6JU`UkFT2XIM^Ep+4eZBm>Cau_jvGLOhC=!M2OcXLB*2w5*BIrQ}+RPm{#}WbS~c6
z6+oT87>)^L`1`IB4goc&EUCvyu4Wuu-Ujdeow%^G8_$LNFyrNKT=yQr+Cw9-w)+Rw
zJ>yI#nt;f{Ni5niiP?=4Ncc65#V^ND5j2WjmxnQ@Y>;`21K5_=3(H&GFzW9_;^B5g
z1+}2Hw*kq^z98nwXWaZ)ffCg+NIDl`bVdOhl5&uHHxnjICo0>Tf-M&kVIC64JoFeG
zij9P`{(CHb8iohqA^0~f7|xl2xDpzGnlJvaJ?IY$1%LFf@rQD>Ki<4zy+d{&axMoW
z?^!6sdEP^rD+=2l$Fd$N5n+|7_!^aoX%l(a_r4g3u@%sttVP<RCb;r-AddMPHQxsy
zFfxo*w+V>XandXi9`bMCB?B#fnx-K@t^oqX$9(x8s|2X;BtNOo=A-|dcxX{37hQ?s
zpl=;xu$aSG_+`JLq4EpTj43<!^&2?T*=$XC9rj06;Yvvv*7FuY^90i_$}_R|avE}#
zlNf^;i@}LV=*$ks?pwk5*X$3&CqCG`-V^N$+@Q0?1qs$pNS)#U-6UI<^T4t@bF9EQ
z|1}0GEO3s^{Wgi2BQf$7L}Omzv!XdZb6CLTv?UJjutHYh8<hO8!{#I>rboFV*4zt9
z?g1Fr564c8IBW|_!@sY2Xi4~l`04dXs%?jTMjuq||FM5BH+A&zQ^!eRs$3#Y3wKJ<
z7dsh}`8SpH4P<HB0$Ezi&RaKjwwC8gkbko%`FRVG>Kp+YGv=Yl3J$8GQS2KYz?;vE
z3GQset!0gHO|HS$=j8~0S_H?aT)4|;z&|M&Z%yK0^E?u*9-)}`J%DkyKG@Xe4l_p=
z*j{vm_+eXApS41nr8#&%nZSM#W5;x!<Lk`_xSeqeURqZm^Xn`u@^z6{bQrE9d(pOM
zCtj6o!M)pB@M8HmLi1K4W%Uw#xTX&E3{}irF$>9sGqK>g9K3f=#gX-ru+kQV#VtX&
zNAY2%C^u>ZCbb$=hqabG>enhB{-Ko`)TX6w)~I#bzE&%vxI(LTX^Gb9+<dLgFSE2l
zZ>4GRyh_xPDvi;aqzJ9cogrEV839^zN`15hWIVO1U0k)Uoqek{?SZ3KSA(4vkH3wU
ze4Vw{9}6ojp0d|kYtmn9H9xS@3R8Ha#nEJ|rQ7GI#lwP=8^nFJ9u$OW&6|^?r5RA5
zmC;nMHTLwkR;hvjl%Gt8;?_ls(`4B{{O4iVZG`j_PPlq13}#<*aKN$&g-!o((MXt5
zyX9z?{yZ|dx11s*HqiZ~%_J(KO~Vu0Xid##%9yi}>;hJig^~t|YR{$RVG7h2Aw$Kl
zMM?gI02R;RCLg15sN5I=^82v=OgB13yD&Sb1ASB4;VaXI>yh8!oAnI~R<)sZv<(}_
z+VOY6cN9JB#PzB!=q>w+6R)}vk>3M>@4ukg(933P*gLnlA1@92Az|N-rnCLH+t-JX
zb$xiZy%!hdenBdxo6R=-#Qi;87(V$Oe%srzjh(liWzE3-Mp%h{g_l<y_AIV}YE~6)
z9It@NIP<IDv%5gA2rsn@5wV)_(VKH|_hvS@lQYpZKLdQ3=~!WuhJB35U2L6#z{X@4
zGOtiyB^ldhB;&%qWGu~3W*kBaemqXaKvEhaHh#bkp-iaAXCq867kl^$u&M4N^x8^r
zT)7;=uc{y?R*QhpdbSU&35R~S;+IhetopmKdvOnAOZt%2Hh@)HgV?zGFV^G?qqkv%
z%{q-D==~@*UL3{Uun}xE8)n+#5c=c>5!o>S(d&J%i0i@qk{^gk`wp8oZSdRKg6xq7
z{PX$(k8L&B`MVN4!HkW%Q38R@A2Gf-AJ10hAmn%^Ox@El%9V;P#uaFSu~Le0=u?k@
z)3qopXo|oh%lB+XC>)Pm!w|yH`p8uFEvAKHiC7ps<HL}h5RSO1?7ypt#IdnxIKPSm
zo+skimlUjHT(nMZHaxc%Fioxm6Pqib?o)$+c@1dGX3T_cCtT}#P_4*jsHBFm)^!Y<
zb~7HAgNqI^&P(z*4=o<zp%4vT+A6?H2Vb%}H-wvx8*x#Z3@3$roxoD2SDjt>7dr<A
zu*dQjI{ALU=5{+OtDA9q-B;K!hWD>pCANPk#fGaN@mV7euOzc@SvnotS0$tNSv+Dp
zqG9kL0s{-f&@LK`)6Az2IOL0s8D8Kz<pJfTZdjuA4w|puB3{m!&15;kOUe;(<_>T<
z<^XF82b`Vlh*KI)P>Xd&Xo?Fy>~_QOeNQaa^o6u%AZ~_*!QfmpW@jg&g)y=dr}N=v
zT!ulJTC@!}qk{JbR*U^cPRl<i&*Gx#TzvG1&4oLi5T?1oq7<@AobGRsAX$A0Qk0aS
zjr`*Dhv~NeKZ`YgOd-w%{KT=8hjOJkX;%)ruh|@yZauquo_0cZbt_z^e+Bn!=EEKP
zgxx70QK+4Zb(|Tv^(`3_J#l!h7=_ml!qC|th+8(kP~GQ=wQMe6a)mQ`j@rZD^$mWF
zGp_c<D@Z7tU{k9ho|-*}&g+NxP<0zK&RxgmHJ9+|<XI?IFdoP47<94^L1p)TaBbZK
z+qhjg7`y`m8r$*gxHi()X~VjQF@<Jqzn-cNF7)oj5#GbNW~U3g?DKe4a1)*tPjJor
zC9LXSW7AzHtUKk6_1@vISe}B>$wElf)FI~n53JMwhoN<hZ)VSfpKmI4$H`Od3Ki<w
zF_&7)=Fzjn`E*rkKE?8@Qdj9L(qTMrSeG2_&y%5<Z02Hgl@RI4@lnodPAXeJf@{8g
zQ1<D>nPn}I()j|<Z<W~bvjh^y3ZOJA8-hqjRcI1APR3zye-xU`!eKocjE3L<=sWtN
zi?Q!}W_!TqqbpW0jYY4;84AZ(FEi5-Z&o?rN-*>3pV&h+#vXFV9WecoBl=~W@qV2P
zjt{ybP}>uR8+`G+ArK1}gyYEE7zlo1-lS3{YK00Bt6z@pQ(th=;u|*CbhCN(A=nE|
zLOPT2J0ASh#3e-ORU-6(L!43`OHiMtB(2{hNnsumbmD|K^|G_OV7o9OcnT>ne)(W9
zH*LGkLE-yH;hXXsTiJP}limSU<`GqDe?iplDy%drh2ggXl(T-nSuGtZ;z{@|AB#A~
z|F;H*Kw32bV)=}1dF76!%-0II;fP0XY%%|n75gqM&=h70Cv9Wca~WV}{9`ow-GyVt
z4YX)oMr;3B?Cd;=C#uKb5c7Y{e=kz<cVX_y?JWCbD|9|?!iz+9q%YIL&z&1_MrI?+
z(ccJ->8yRR+yqs{ZFoAm6W_P($LNaVC>c73-|4rInf)B6<jpYV&vH?07~jwyh>gB+
zm>bWuslQc_pWA^O-~S?}g@-I1L?|FxhNLIuX`{p}@(Nd_0sjTG_PZLXKU1Scmh<WE
z-nn#DMuncJDo}NqEWKm8RbquO?PU6H!2>QjdhZ_u{09)J{{vS>T46ASaeUs@sEIAZ
zi<KW)re`kWzcXOmlY&jf3FsS$!Kzb{=o1RZD0_cY)B+*s?gzR3KDf2Z3pLivn~-OH
z^(fmpr0$CJgm)<LVYAi0-{DG>D>%Qoq3MkWPJZxWIm}Ei&t(39R|tMii@+@PSS+Yx
zTE&bE2z2G)3iI{%cU8l)hv_Lw9r&&L3)&BcP`iEtS6SU^E66zZHUWxTBScY?!eld_
zy(6)rl<zA_`fPU3pj?<L)P=}iWeSDm@{vE&{6FY&l6UJET04f2QQrs63U-Fov_b7p
zBRn<g&|p=G`x2#yPbq-7RW{C;q+^j^5<Ydt!e)OY(wjq(ZWjp2%f2{$+7tJg*R><b
z8T@h%;P$XV$rdZdFI!+Kj~V7GyhP$DLu5EUhit(ktUZ1Y+z0evkbE7p-(A7qv5Uy<
zJ&$9C=MbB97TWn|vCyAop4`8HR|hWR{i*A?nRpwcFCSqAW4~L>Oc+~Z37@xiC}7XE
za**jWhu=fCItdQ{<>4EfVY|TB3d^uQ1nNzq{SO~Wmy3{$m^Ag=nNCgl3Y5{VM2F*4
zsCwxv`f)>r_AxK<EUS;qCFCf)TZV4vNl<oyFs+;}K)0W9(}yX{A9*^6*5f^lJ8DPM
z<wn@s)G)@a9GMdz;k+UjNeLeiqMwYimn;h)Hxlvd!eH|~5JB0#&?)o8`6+IU#e55C
zen*Ubv_)r{HPl)xVYAX4morRZWB3v;o*Us%q5<Qc^iehb6z>;4!71U#_!aU9uJY{H
z2Tz#i^$Y>C*mHQy_L;K0i~TFiQJiE2by<5XKjDJuwqBUZSgP2rDAe$$B8X)?y!>2&
zHPnP2nQr_O9AWhb7hRqdpjLNLlChN{k1$z^FP0;}I(g#$s6cmp*|T^oPYbWfQKyG2
zm28lvfP3Q9a#5H}R|?ST32s{EHwkZpzi9C7#h`2_el<74d7=(HH!BghpaeHG@{#j^
z`O^PV(3}_#n~*5f6|?yu`5^ps@?~s>Cp5WT@u}Ylx;*w6(tLwaTT5^Vze0WBOE_OJ
z#F)i1EU|fjD_`|cd;1zrA7C>PFVA3(;7OeCItt$ThcNzWAF_VzX7%PS#_;UGciru1
z$<k)KyR_l?eLG^ASN*VYHyWoMKw-pD)Rz2*A+O80f9x)HNgH69rx~`Nv%$PO?_luR
zA9Xg-sI$+&zKk*$v@~HwNFS=$43@!0mQAo;f<C{TM&*SwNvmKMrSDRupf&R;?9F^i
zI5&^xwa=kh`&H;+p8{p_PN(VRQY6S`ZNKiBLIvA+sEK0|zj%jm->(M&b?tcU-iSr*
zHIVQxM?iTIj-Ad!<F-s3WSZSJZpJeg#o&2$1m?~R!&l!R6kPB}>p36RS9xOjG<Wou
zzr&YOmV+Yc3<EDmi0M1vUZg#W*W0sf0DGvJ*s~aIHpgn`2po0BnGhG4+PY!)R4-iB
z@&iB9J!M_loc5<!)^nyXK8X35$BN)EQVF@quZ+d$fT?FM+eI-9{U#35X0_baj{@{W
zP?$O*MJXawoZ=XB`RK7E&0uG0+I<OH!Xr)xMMOz6NQka<3(&PbUJ5SYA|sJW+`BUj
z$(nw+?fQv}O>KyGX6Mb5S`@RHYPG^*JX?{^JP20X+NVO@C;?n9(YWwA9A&G6(Uk6o
zlb0B?vcwH$Gv4CW90$1VX1poW|Cfxtf}(*5%WN=0Ji9wuUOZ&JH=DDGx`vc_7h%$R
z8p16n5TJSlH<S0{yvJ_X*6qO3yW8;N?q-a(GxVl<BjWdNz@f|QnO?ab#cAuYPkkeH
zxPa+GTQD}d9l2V2!KHc>+ndjz+WQ7Rdp~6|oGBJNzCoceV=S5j@GK-2d&^iBz`QC{
zJ!psislP~%;i0-0jJ3;<p(Z5-+NCp#rf|-qt-@;b{kS?w|5c--{0qphU@keEs1S#h
z0^Md=3+r4ZX_br!$)@s?PaqdH75)P!tC#QQ{lLJ6Z@9AOD>nY9Ml0thR?~ij&4XP0
zO=lV_)970_C&Kb!EHZi{aU_)a$?UFI><UEjHGc#x^+o+gZ>)3jgtn#!6c#eB^?@6#
z<=n7U(GBeuZp<TaM@^Im7CrTXc)kyW+?f9|8H62w!ys%Dh0Nf1{5zWphmb6c+%Lp4
zrt?)EU~DntgVwI;M8KLpa0?G(zriGSFXyJPoqS~0FF=o^h3Iu4oAL7%q3OJ$w1l0_
zV&WoXRVqX#@`7Y3BtS{wyyPj(O%M07%z~y-#?}2nj&LuE6uZEt=+XCt&GVGkAbm##
zQoa`hA^G@hmxagPX{f7aJN-0bQ4=14n|ni1Jv9*N9KPTb^@QgJSLE3_qejpHmji9E
z<BAn*_gUcW88e8wzQn|&Arj}jz`XD$SnmD+Bja~4P<xB{rfgnI?HX33Ux6Ff6(kE?
zfp+f|gyvp@aL7#@NWO!AQy(F|mF>v&GG;x)D}492MxeVRRJ`3WFDU@U-y<<PClyVn
z3vlvbHNLI-29^K%G3)Il=6>L#FMCDkFPpEqa%CEAFq0?4r;0RVi84+4Dbvgj=A}w0
z(ze6$^t^c*$+t<9pN%-VhzV1P5o4~nxoKiM^9EY~K&FZ1Uu<fJglHog*4AK0-X|On
z_=u6J9O&)*fN<_){5Kp6jyaJiF$qPYY#@%;`k*=21EY=XK2>oBm#sa_=i8vP`!(F_
z%`yM4DRaGE;(3Z8{*>$Ew#yR;RzE<h)m=<2)x%kzn~X!efofdGxW;un7`_hPn43_1
zavN<|@8gf(6Y%*PAS#{h3yw0!8tXS~{>F*rKd^b0#eo>rh{A2nRE)1Fz-{Sjq&T+1
z=XoD$A5Y+>G#`n)5hnF}k|bs&OTNJ~NS%3K(pQy8?vE1P*sDZdt~04=d<M-4m_~bZ
zrRl4=IOWR=Q=unQW!1T9SJ*i6_YC6Jz8=)Yw?o>X5zfIi__(kfGx&;-tCoxHZ$BVm
zOEStAF>Q8FByxOMjWah8ui3Lfya)8s-$8-x)QI0<55dwm*z$zwc6-b*y2lhDPmPgU
zWq_3AXV72#2%9DDq2|0EZY;ln8jGulzIPd}9G7r$<3*-fT*QVsm+*1)G9EWyL&%?7
zxO4PApz#a}dyL?C!3-~1CPMc^2ewnq4IBmjD4rgPAj1^2cjrTO4V#x|?~b@<KMX}U
zs8pGszE+4(WSbN{Q<zS5I~3^iRwWV`Q>Oe&DkS|*ndZkRl3J5IHSC>EJJ-q3whD1t
zzn*bc?D=#^a#Py=ajg3K2SX*@_@dU1bAK8Ttx^M-$WKso{D=!5bI`B-0mg#Kct0f$
zUlEBd5uy0DI}o}veervSCmw8dW#5c5`V}3}T55xk5XQ#GTHt<<8JjmT!TBL0<P;g;
zb;5I)9eRSOrw`G$;y$?T?jpkT4tn(NKt%2?K1bbS-{eC~N<W3Phyk8!8ROszGaMYV
zM2NpF#y7sj;u=qs-U))5bTrn-rs5z9Q14cSM=mXBANd8Y+hfQr=b?5PA&M^(C${H}
zOzNl8?|OOq6hD(jFDTNB-!qBxkpk(-&Y*%ZS+YAMP4znBq$(mzj<Nitbc(TenrwmQ
zD9fo5V|g<Aj8WU(gg>`xF}=GS@rgx9FUy6dS_bTLlNoyvhg-gpC~st3f_5NM8-3v7
z;elk+cW8EWf@+Z+Cg!|>N`NKYcfLZ-R1>TbFv1V$!#w8^5?t>hzUU^hk6mRRG^=w$
z&O%22Kd6`M;%ww`(1K$K+;bG;%Z|dN=P0ZkkHbs*B)sRILH2(3Uj4p~RZH$eY}E_=
zbT+{qpVzP}aX^x)2PP7OaK<1OA$pmZeWMI^TN%He*n`bi$FYI&3-_AYEM$Z<E%KHl
z|A&fX$vunoRp-!``Z;t!V-CIEJd2j<D3OP;JguKSjecE{qJJ+$Y0!QOt;^)06c(gb
z%I>*;j2+US{~e7*O^|4-Wu8_ArtUAsW5+zqP|L)7p;SyRPQZX;H14f@kBed<csVlw
zd(JW@s?GzaO<d7?{w=~EJ7N)IQQmF0LBtemd=z+%{v8(hTJ;KiVP=T`Yzi@5Q^;;M
z#Rq3ow4XM^){s}Y@xlVH*qOCpf@vNZ_V}yCI6QNARQfRP%02`$PO_P;e{9zOY!0IJ
zOEG;(9m_Fm!|ni<U-Wwv0e`uub+!O)s}rVszgPwpNmFj>R8rnGjW%{qqYu8*$ii5b
zQv777ZH^Qv&J(BI#lqCLcnW#w@shSTCrJeTL+gS+(E8eqp1gJh_BG-;<Fy9)D)76n
z2-l|OG5;t7>AWd0FNgzgQX~tp4}~W?hf556kS*eYq*NCuvbg|<CyeVbwL({fIpY49
z;M74Q%yoN?xmgczY`Pxqd0oNg!{_i`^CZHzAHhBoRtx`Rd+45R#oU!Z_q26bFnbj|
zjx5EZn1vWvIUkzeX2U*F2@MJI*xfn}CYmzv`XGTl4@EI>P6)~70x0X@#d9Za+_dDx
zr_f2QRb1m*L(BhZZ8<-x<q|)t6?1G%tH^j#>*^XVbf@q_m3fg-Z^ZFr_cVz0DdSe!
zLagIkhk=<o$UAukaWaqLx6J~(Cta{HC6qBQA7I~Fh1%?&7|i0Nf;bU+v3WYhb<U#m
zvI~iK-*S4qOp}Vu*OJ?zwZv7nn!JxMr^}BPQC@^9EznmY`JL10?^#LO@K=Z|RT%sD
zi?IXmhjBHik7a;#L5}(2_Ii!z`csFO@}IG!ssdv|pYSEV1Y159p>q94R0<YiK&=2h
zZu!`LJRh=W@{#&JAK6+3h>|Wulj=tte8^_PCW|qUT8g(JpIEK}t5rFxvHfHX=6<S!
z;l8hUT-%876D>H$xcqdD4*a>^3F{X>5O}H^YFxh{d9D|BPy4WSTR*mC_hZGcek?EO
zNA3Q8@Y?nv$Fvucn!lLG)Q!3yKd|C&Crs*?#{9Moy=z(_mEQy@Hp3hl`vp46wfJRK
zjdhb1c>VYj+Br%g?83PJErrOKl8=_o90+w}VGB<tUT^(?>WDPRY)Zvu?iA?$PQuBl
zN!WgiF&><Ws3}drk@^H&oSz7{ltk=tNW#-NmfNG0inPyZ_*?S<!Lzb3GcgCZSO(__
zmUlIa@f9~2gScu(HHuhnVU<_|47ghuL)r$T%uejO)(!J|#%XZ<#=1{~xUzZ}W*Vay
z3;PG*&@phRjzd{_9QJNw5cK?qbBjl@@c1y)Rfq7!=QoCG`=D6e0~4Pgh}g+^XXfp$
zJJO7OADJe+rVc9at8sfl1v~dkk-Vn}0UQOm$nGcE$V>#qrlX7L*B*0{VCftWqh+zU
zH5P@_gAsV6{2rHIhOu8m(K;5)diP+&=?5`ZAqaOC2H~9{<H$9Fv1lD*lfy!x`!XC`
z3L=<aAC0A+ahPN?xh8AVU=fjtt(JM<%wy;OfpSdFu0inJ227`KxO=h-%XE9etu%;I
z^HE4VWj*pwPV&lPv%{-->GT#pN^R$(@M-+?p_z|vY~mwdZC+9u<)+fJOgpybpbXJ*
z{D~e$y8It}JIT%^lOMR`-HvA|&4~J1j}D<4Jl|abkDwAfS15#iL=HZk&OpJ^R8-7O
z#M}+B`13dtck9D2crF-y(g6_e^MU$bPdrk0XF4tG8P(o`W6Tj2EX%=vj~)2F+F&G-
zF}_vS7~N%!Ze?rG32TINzJbw98~CNzLid|Jl)RjvHOAO8PNrQY`XEX*2nGk<WA?f@
z%x_4=Om&w1B+KSUOlolFKnwZ~{Y1#oLCjK`WOqFel{^!mx0{8@SWk@RcS+DGmJ@pA
z72`RAq-nMQW8c|4-y(Kj@4qNYXWt5u&I<vmT*^z1`JA-geGG{qgNP~mg)^d^nD(p%
z$K~o#^0NwJ{iQfHzYvP{*<i!;&>u*I^|u&o7=I6w^^67d@rU;UZyc<0!y%8i&^L2H
ziM0(*#k|IqKa6eJXM!Dth7d@61}@15DD%99pQo>2;@~;7KRwA<`Xk6YyC3nhbntY#
zHg0U$#PYZ{u)L`?7*<({EgP3&z-tlob<|+La~?E(=Ro?@ECiS-!*`()wx3o+?ovgj
z(JErAj502<-?K`d3&Z_t2s*d~^9EO=;0EE?xDFn6oWSWD*V&$_7Z_KwgoM;vlrqnJ
z!2sj5iwbau^D9JIZ?*R+7t6jCruqI;>64ElZ8^-&#s3!4(fdp2;N4{;uDgsj9$!Lg
zNeijEmi3xSvuIJjJWY5^rL9-RX_953z5d5T7pf-F<j#Dloxh-1)`6|k&A7<_1$P{)
z*vv>7l(mWw&3Fx=pln>c#<Jc_(s1H;GX6y-Vp&=|?#i+|EF%UT3DF4RV3|2?QCMol
zGA7v^GT-Cq|8;cMQB|gI7p7Z~l#mcn#_q1OAG<}d69WSaup6WV1qCFfK|&Fvq(MNs
zyBh=qlvY6e?%(&vtTi)hW|o8Jyzlee_qDH$1^2@dTNwdo=O|1|h(^K2I0z71noYBz
z`^w+&Tqz5)D5th<ya<aj%i)<&gWT*!_|&vvesvdALx|~SgD8DOGl;F@*lhieI16s(
zM=r9UDjqgQY*hDhVszVh*f8T^WrxVU`yUspc>EXNwvIwLX&4fN{g^e}iwz~@n{*^k
z;2v_${;Pw2L=_$wlmQ!xuv9e<+;Uk+o%szK+Fxm&k^nC8ScJJp!Id(+xr;(^ePu8T
zuLR*%jz1Jn`XN)@hxYVd7&+_#6u4nI-J8>2x#C!Z3(WytaF_m&Y;!?$FwMEz-l5Lk
z9Y<3<apSfR0wdnT+>{&y-JkHMle|JtDD&@^1igdla5Kt7kX#v_j@6=navLTs?m_<2
zA>98lj#bh;Y};{u)<_IP{aX<Rn#s-dn8Z%66=yFuh_mF7Ni5h&j9CebvK(S`O0xu5
zC2^bG&$wCACSq^toECJU4;|!Ut$Nso)7}lZ(^iG-?WJJF`MC2e3o-}OFn3=PuItA_
zJ311ZH9pg?_anwG1)z}TMvZGcA$IH?PP@`Plj|*9EZ*SlGHY}QS|NtZ0uN}<G@xe;
zhqR|yDE<)Dv3F2WWPp#yZ_ruqDzy79Lrv}y)EafcrK5}bkGhmCzKFBDS1`Eo8qUS(
z<GvN;Xe*!Ka?5j=t$zVy8yh&clha`z%`D0S;CL$>?ixw(%%^wXt}3+aen)P}5R#R6
zm<|1ZcRENgT#;oF2NfA+t1$O;HI}8Q&fbw*idSeF8>muYsd-8)pBT#h9nx%%z649J
z5@8P^z)F+2nO4>){u%URn4Z7q_*xM8qXv(bmm#+<AFHb~VWdIKZe#+kTSTMVAsk|L
zpMb+b_`>rZsPn?MHa8?FxIpBA1H=XFAd_f=GCGsriF^SYx=%0GGr^FQF(z7`VxIgX
zT*|qJIYM{fUu}qA`wTGqp+3Io>Epx-1DqT(#EYamm=pE@<v*U{$(HBvIBt%`TVBFY
z&K85!PUQXYgxQrqOkPLKtau`R<&gVUyBsBVTi`HEyZ2`k7$+aaO-1qo5#!+-B*$!B
z70Iir%%*6nvWY-d7AUI9L@p|`A5DtPG++w*Nk5nQ1rltlu_$|`F37~PcvzssUvl3L
zLbbmeoAla<*sDjjVFjYb3ejJZjlIKZ$e?Uq26rqDHby{YFa&p2eZa2Z_n5ZZ8-sH0
zSRw3!6m<t=owY@2rZp0@DH9-IL9+`Jq}3ZCe9{vHeZB_-8)6mz4ce1j!TV-iT)2A<
z*Uishx5_CzBR@f?{BaDp9fL^kF}SInz}0=HaNAV}!|J-&EqWEs4-FyU_6X&<&vA3N
zB`&qRL7=+}zP})cTtEl{DE~5*nB(Q16<F!lj!Tlm@K5Gp5gSBU_a;eZM)QW7)l=Es
zVKv4dKb_rBn8C`VX0X{`r!(U{)0iR6d4rl1*pK6~?5N#j_BdRWiPsA-<vBd;s`eQA
zGy382r3(}4Eg0sjMd86RM2Qt3L@f&&U!<aBeIn9UlOyzQ1a*doz=UQFw=Df({oV&2
zLmrU7`;KzF&KQ(*fZRMgOnLGe%LT2mEyoH;dBh4yS&%2d3~TP0BGcCd!*fjN8D;|c
zt0uUx(iFUAX6QU)fy^>XWc9tm(v&y&alioyVXiPG-=^qz03vBV$dep{R-IHRe9gnh
z#7fjJXhnS8PehxJA(8x1Q`3c*r`IIbTS4yE&9Y3ea0*k@RbYpB71@js1y=G<p6xV|
zV^ce&*}lBV?CF6?%*0ig{YobPNi{di?i(Y=)F760bVEPB4aTMQNLy41nUW$TMdn~d
z`8U`tOhz+#PtQM(gx{@DSiSjx!xiu0z0n(oO5NaN?u?=1Z_&H=4UQ2zG|%=0?$?{*
z>K0=-+df8b?j6Lgz6pVv%is$>2Z_*=_|$S34zybgui1sUo?D^!mL3K1>+nc+73#c~
zVvFuVtUo&!BhLTfvg8ch&6@`KQWaRtoeJXy1sIP^fs~OPrd!FvP*WD;S7f1oT@K&q
zo)a-o3A^Z>uKPj*yt;Fs$GsGNF6%Mp?oJ%5KZZnwYlvH6gdNteVDa7+DHb1aZdL;1
z&K6?0tCg~WqsZeGVme+@Y?1v`_DXjK6AhTl48|6*iRsH&tN3zuynHE>N?63ir_W<m
zcPNiPa~jjMS7gJJWSC>_BqlgW44WelTXSy=uaf%_HPVGPp;q!U)M3LJa(_N5!Bq7E
zxFQGF$(1rAB@MTTq4*w4e$FomnBb3xrEe@;ZDZ)H9*ut|qfxpx8tvDjahuLip*b<M
zA14R+(|G(mmWVG_$=E)b9L{auAS#pv>J5gnVj(urzQBgJ5|ifEV)$GmF^a7)N$Q|Z
zvu?aK|Ai$2gQ%D_g73|LAgM8qvgW_|KII?ulIUGt`43hX|AAkh9A$sU5hp)}t9ieX
z`QI?QR}3Ie@E2-)yAi9{3E5k1FpF)%>)|>CE~v(ytL2y)R*awg1>nA#1Hq0A?0KAq
zviV<e;UD=d`eHF(C>k!CiAN&`b=ihc?B^k_aO49VrUii>ax|0i#}C2xxU;|yN4<Pu
zf7Tb5?)hR{hc7a|_~BvqdsJElfX_7u4l2ReuNaDg*Wr*Oo^t^)-yceoF?)78?NW2F
z?r#yS=&s-XgB&gPZ4h43jdSD}4sHL9px_Az3~)1zm3+)YUVt^ept+ri5W6lQ%yh_o
zx6D_F`R0-rl-wROc*(6io0n}TR)*vK7n4iKM_W9AlFz+(X4HwC-L3eh)_|=%)!6>K
z6db`q++0j7>Z5dQX#a|Q{R9-N#z3+!0%#9~0#`83ZwQ2_AF-B;z0v#K9V6ro5G-}V
zDscz!-nRpr@&+5btx-Dm68m;oA*A*N?4vDkveg_5FPcMOyE(#b&C#*j0<%nCAbz72
zjNZONoZ0LD_hlcs=Y*R!ZuqV51M!(bNDKaqbpBX05qDuRl#A!5D$u*48Rf*mf4WSJ
zlm|E4OniGT<*aHPCD<UhG<)nS%eW6rVcyf^*)36WO{+{{+y=6&c$zf(LbJK|v<pdf
z6lPhy{A~In9=57!9Mf+Pp=@C<%+<bQ{mw=x(3$Se@e(v|$V1+#49G@OoydlGTpEo6
zZ_8(B4}V1ZBFgRB`9MXUIG-dJM4CAO*KFaWZ;f}hme^5XhKQNZ!L{%y(l*iF*-{_f
z6IWp8b)I~Wr|?nl2$Ej!2XDhJTt2uJz5T$usI@TnSb^e?ixFHm4~G`bf}+0$j;vRM
z@vst93Z@_@LmC?!C2(3^49Yi!@cug=w4ZY0-i>jN!SrFyz|>zHrPE!Up`KQbUw#9}
zU9g7J?pe+`=UdEKt5U$(uAIwp3(w+cjAU@m@?>!K52bUi3}<jsmt=E@SL6KNUcwpt
zT+K<o+sc_E(8qall?y@}L{PIs4$U1JIC_6MexBKh2Hx{ne)<`NdtT#Nk`G$wyFYoP
z00xyEV3c3i@fK%!l!-ilT$7o4FJje^tC*t72IlVq_TPN4Se5l`qGKg<oVA!{g0oqa
zr8*OcRAdterP*RnF?NXjMg9-DS%l;$E|~XYWJxy`_qRjPqZxk{8}MmIEkfj~F<-9|
z*H%<u9p$0!bCtusy$s9b%F$w0PTkcNI4D+$i&9mnSW^vKqZ%03*3z7VcJGl5#OYF}
zfps(9cM|)(unp5rQpV!)cRbYUz<@+2JiR*cjkgO=mv$k2aToL^Ix*Rao*~?wuw2st
znH}FzL$eyaU#;-4X~7H0W}JM`h!gqs$dIf<!L}M$->t%5uL|_#lu=h+3C8D=`};~E
zc0}cqYa$PtM#LftkeASxSZMmJNv%kyUB)+z?@YrL;wGLBr{LI&6pU_7!Rn<clmSV>
z<aa69t(b~aIjP8?ySsbFH{6rTz%iRl_^r)`pnNW_sO01O&O#))7UQ5$8J1dAV2W}z
z{zj6AVRr-VqnogCe=FpJ+cDAD0l~H|bcc3h=el0hJpT!|r@!!LZXe3X7xDIOAEdSV
zV4C;~N1J{^II$O<M|;p0Oa6uLojB9}9rF|0;79)9ZPHCRL_6ttV$LR6SK;Zua&#G#
zqJZYzr}Yb9%$J9zz-$bhCpY`5bgY?0{_mA3IC>=+tBAeia1x-?6^Az|vB;)(hoEo_
zHWO2Le-7;;<)X0*(YWv_8e7j$mgs0K-nhh}cLuq`$A}+S`ig#&RPsxuWBPwtNIFVg
z5~&3UI#EJCq6*v{u7+EEJ&vU}W1o9FE*zpcS$z-Q&gg@R@*t9;hUr=N8_8ay;A<X3
zg7-Kan#VECXB=J~V~B_uMXSmmELI<ZWBwql7xW`&-%qSv*NsVBotW>_hN=b4<kYLj
zYI6AvxmDn_QYqf}6hd?jbvd+U(aw-u8P8K8_b3^%Zxb+37>m1$qj5bx64CnMIB@VY
zbgqP8Ndz(A%Rl1!U=S?(1If)1h^V9h<U3Nn_iF%hSs)BlgYfRe2b4^F#4?c(tT6tJ
z3zs7x_4Nz>S;S#Hk@hX8(s1ZZ7G}ieW9z9>*wFW2$GS$^<F!M2XE!8O`@tVLg1gz{
zkPjzDJCujbJ;29qzu{-%x&q8GUx1C|2(X!F1?aiS&n#~f%S|l!`UBi-uy_KA??-WS
z`7k2w`|ziz8~et;<Ed&3=FoRc`gRqLM3y2&q>%3MIpE{Xz!>d%V+<0BNv0j*#VFJ`
zgu(E~C*0Mgvzl-KK9x~+JkJZ;`)TK}<$rz`@<drW;_9=vkRoPoiKZ=Tn_eTT!v^Ba
z26cnh$P==`GBX=UQI@a2=?#iY?9hAAfmi`&%v|DzVoxuGr@V)c8@XzigyYq-SQtL0
z?-XUBZ5i=xWpxnw@SVIseTX?UMw}K8+ZrRlmivh?BW`gvC2}%587#$|8>HFC?J{hr
zPnun9mtq5}C7HFL1e2rt^O>8%%%41~dc?&93{2p!_;0LT)`yTgUBr&i^Tm*yva2fa
za&ZyzPUhfv>^I!ll8k|W<b7|AghziUJT*U})yN-T|9K<M!yV7hxL|<e0Ab2gwVkj=
zs)HrQy3H_girmbVPwBgJA2UJ>AbjO2eb#kx{K*+Ct2~CE7Z2k3{C(I<*?CRfEzqq2
zdBD~o+I$tnGM3@hfyLx~UO<fVTpW~|O&r93aHp=$+{zi4{cZ-m(`F)1R}*&cXTflE
zE}mL0f||(+ELPlrVv}tM<I+Z9o(|T|GoWmqG0bva!OqBqJY50EDvCzW_G~nZ*5N|Z
zFK}*=llYbxYvYn*+2JZoZ01aMYkUst>|em7+ZQp<%0=ug{dvfPxlAWVlg-$o&U&^^
zWuMjLSfBW0R=8e-W#{lQPjmA89;EN*cn=z{wPS{J177G=VRlIgiiz*NIX#=oF3J6<
zo`NgEi3olf2b1_{a+5?Mj4uKlr7%2t5(@tXA(Y=EkI?gAteP8)TKZ$fi~o5QJ`u+n
zf^)QEH!clB=-fzf`o2I*Jq}M26Je5)g6{t^5ZRdnk<mg(>?%ikehsExZ-S=ucev2`
zQeUtiC8{HsQ9K4^9&$ewaI?@YysY62ACpnwXLqjgGs)BZ%(IV=Ettc{e585V+z4*=
zMUIP=TaM$h{cqHr7{r#LpUAuVgZ$#{h@L}z80K}j{G$?{CrgR@D}dqC9LO%uz)j&)
zc+qq3kvMVc8^4fOJ{-%HLQ$Cf5gTm+@r3d)exH1x#^(iZD|f8i_6~d3xghnr6WSUb
zVBtjmd{=uM>9xa{lN}_y?XX$W9%a4u(A($$9(gBXY+ay#!3{w_sozD(59vPxG5bac
z%*g?L^?E!En^Uo;BL_dPkhgSq9mMJPrsLgD=zO5(XebwJP2pp1H-y;LccRQ?u{f(#
zo6Me2_HJFXB%2l`$-0{-vxa*TO!eg?Hb(B|wRE11f6LDf(`@p|%L!uMeq-o)A9hdr
zfp4E%k$k@%Mpr7)X;zGBg}Kn!l7X2WU#Z(79)E(qASW{nO=6!=dOHw0Jbt+H*%N<^
z-hpH21V<Bl+D*KM4gV`R-+BR49y92M7-MMo36AIA!`gNOY~x%*RQ*M0rJaTS;7Ozz
z9>t`s2N8Hn3u1hGAUUxEORsH1!O1N+Rlf<j|287EY$LeuZbIPS&9FD$hL_8C;m$%W
zZ1p%y8Q9b0D!Ys`Mz^uO#0Y{)mc)kG;k2_mzP1NJ_BG{XpJu?9-p?2HJFv9$56ze9
zb0RLzxVvPTPvcY;=cmrBMrX21k+ayOjM?ns+SyEN?SJeu_YAhPM2$&|DKU#gIrjXh
zB;$;UvVLMT8|kyxwPO@;?873HPFRRE<BDnx?o+mQQ))hDuFgW{<TPllPr{wJSjvM$
zA;dZiiZp|=())m>mE=*|<OjLe-Y8S@gi06PpZ~fd;iwC)^El(=xFafeIU@g$!~gr^
zyPi8D^M(`7mO0}`yepjMyJPQSFKjOG#dFa>@>~St=FM>2caA|N?Hc~YW#FYt0bGb(
z+w-&$*{l<OeEs-qH;SpJxLNdce)j2^5ZioGl%@MkV%0k(nE6(6r8-Wgr~YIXzE6Tp
zE}O)fnnW4*OJR1mLx8Ol<zr_AxLF5%|DuhD;J@%Ewsd!(J-HeCqiSJMRE`U>MOghj
z2TUm)0(Hso%7`Op3cZJ<!l0%fjPQW~xI6no;;bi*?Rtmt!{nc!&&@>9Yp8QxVOGHl
z=sq>WX|3ld*-UIf+yk1c-bUK!4Q!RvgVbYPRBSwpb5~CxW8xSr`HrC8;vlM>DBrnp
zKjye<!JPUSHGKEO&RiSi4-ez9_i@^n=^#nv5=1j^;=}fbaO`-FC7Z3VGM{*HTQ``x
z1|X`P^7R)|F!N6#&R=W9!+XDAe}aqQgb+JFBEj<8<XAj?UK|6bv9FV7usLHhndJpd
zcINy{maL}1jEmKnYRpvTD<jXkRi)WiF>xlvBh2cQ_*g*Y1UO?u2=woPWnCMl5?5!F
zQ-QRbMR@oq2V!(zFY!voi4SqmAB!TUHw@Y*KH-FJ5Ec;o?myiJ$IComm-r5A8l7pr
z>qvP!dt3~%#pBf15SVU*Z1M{3&U%STrI&b|YXy}SD_pwt68RTi;bxmP{*puZzJne5
z>l`3m;sVE~^xym8i?>rhz?C?SR^s5_lY=ZxF9+_^$}n?V18#+PLTLUV{@kCS{5~Js
z8$*r=+G#|tn#|^t=cc_%hN)2hQ^71bw$E9XDeRVExhJGpMT-QJCf3<ITbS)SBfu_|
z)6DJ(-LDUfKz73~L}_*6ntd}|#cE+4Uxw?xl$%V+f~Z^?6kQW>ZEp+?QVx9c8uI^=
zV^A*L4+HQ*Zo@lFr~Q!MLwiiW`x@3Z#Q3CI;HI=G);~4^<9>wdRktDFa~)o5E)fex
z&hFvk=$di}Z_n?;{@NX|d9oSRJ2+_Ltbx^;<tPnY1TN)ywD0*3?70Tk-c!Sb3(c2$
z<gwR47WQ+cuvtw4Y`++cGlj8<+;du<{MaDNhm0W}%+TV2*(x4lM0k)T%7=UN1i-sn
z7}0i<aDI_AN=_(3MSD72PRz%`lr?BA+X<B)r*QPZZPb1+hm?~8av%DmZ4Y^5e&pjk
ze;Yifk3%V6nC;$4_ia%%7G^e!$**6;L^GE&o90!F`^joHp0tvsj4x#$0~W9Vazvij
zQfGfwD6!AGWSDE_B(^?Jklnt_!yMO*!7sNTO_zRP)krJ0pJ<?dt7`CUEr*VGG1#*L
zdUoa_@^v=2LNoDbb_TJOluf7I&p+!l@RJ9@llBcN{%Le)|Ay5n=~&IlfTK?)Og3l3
zL7f~|%kvTTs1S|4#W-PB2AwsP*uY<dtJQVz3vI-d$28+!+K$GY4z!UoRPK5Y!p~FZ
zjdUOWQP*7b!vXA`I|yeZdOtrLM7-i4Ce9Av&XIn^arMzo;wMg-^x)z3AGr8mC*@k(
zab<QZb{RF{<hOe8{;k3M`BgY{svOU3OR%k=kXZeE95T$o!sbkLTuP^NavEB)zf%8t
z5*CFe;Cw?I#+Ju|pUyGv`d=_`EDD^5k;tchiN0$Q_`4+n8_q|dCo=*v_ab3*i`)ds
zUtn-51}n)Cb<ZvVVY8F5Oga_a+tZ<$odx|@dAMXntZ)o5a-!AbxvWQTLo=puzLSsg
z2U@7d>f50K{QO2|tsL?XA0Ef4(-W9l^$)eDxmd0R7t^^!94|K)+YmAV9h#r4_Zy`d
z*>CFY7{c@BJ`CLIMP5x8o~wVyxdSbDb+-Y39Oy0_U4b>tC6HGrgoREnjwEHGY1ubS
z&-{w|dx`k4BaR#d(J(n4iFY1h_#++)-H&ued+-6)j|0*B#UIi0-eahl`kiWgV5;l`
z^N-%pw)V!8Om7sN@xlC)zA#DkBR{o2KD1I^IPfE}Rw2|A5soH0&#k9(!kNCW@b=1p
za}2pHXO$wUt{U4C==bSE2eiz8;_bX)jNcoFraCthjpAinI_O>WL6A8P3$bIV!pwfM
z2oq}(X4-3nnd&Sdb|*@J75(C4Yv}B6>&wORh#ga>9a)WfKg{V)<aCeDhtr#3SyPKu
z{uTISRSb)ldD#Ck6FJ?fP~V$`S*5YKPkFRg+rm({@)LS?2jLi<-`YF8VRX}jx|-f0
z@sAS>C*I=5LObg0c@5E-*6{pEGqnB}7+h>YE@Crs7@1<7iwTwqn;@_3IsOWnAmpP7
z;&V*Vq;C$l4==!H_7ZyHuQ9G=54n@hFkkHflYT!K(mD9vL?r6BC*j)hEL6ys;s$*e
zZw_`r&4+fNleuZ1A;1bfM46HDWH!=B4%i$yR-PfxF6SyRcjDvD@+z=R$EUDFZpzar
zNHL^|vr8JHZ19jEGrmPT)@lF1V>kldfuCp$?tp(#6Q*}pV<ycA-mcEa5|)V-rYQ*f
z7mvc=FPN|j!#{^$nx6z<=YPH^5A=Zl9#=?HX6pTzEtH5a(AKcR;q&I$octU|S3E=3
zoBMF-Fo3+lRh*coi}wm=aC-SMC_UGP=f6GZ{IDJKEjFRoegiqER>N@Pa!h<*gwT|E
zv`3hQ{uwhN5v7jLR;n}~nTqOZiclDsg4{WBkf@TuQxO?>6-(pTRvBD1mIb%>6s*Wn
zM1Yzqn#wg0p+^3sRm+f}!@=3c-LRNAiDrI%w75No&b8MV<MV*j<q({)_=?`8WjL(d
zg{TagUuTN2Nrz<F79~~I>#525h*g@ti#qkbFJm0GoM}B@%4~)gvZFk6S;Ul??2C^o
z^Wsxr-=9mdMr|=x>L9>sj!<XWT5`aB`-KIoJF(NW8MQXGSih+Pd^W|nc{(4K{@EBk
zPL2daVqWO%oEe@3l#mB=Q#@pdDKnLg#Y=LvL=pp2J2Qs%k1^P#7K>Mkakzdt9!irE
zq0FC*S^HA(>qi=TN;9yW7})*yssCwaF>H9s@t5YxO$zmxPWi)wyW25oTNh5qkx$`$
zAJW>X4<KU%F{?-MU@3WEKmJ9F>jVP1|KTjT1*R>ZKrrnHCsC&A@3lYB5gtJ-?S6s|
z^}%{tFJ>im;o9o&&~|G<>8}RVuC2vci%Q(7D#ht#MTqds!z0yfY>y<b%!O3Cb0;H7
zH32RQVv%zG3tGPt)4n|nOa6smb6YSL{G+|fz987vQvZxUxz-}zV@&itu6?3;K5-u-
z-F|ShBe#Gnb(x6JbEuVev<rga-5Y`@8sUg8CTHmHSa{ec;kGCJOl7j+L-(|^|0r{H
zpcbDpo3UhLCqjKG+nhTDE2lB?n30!0kB807=3}o;Q~t`7TpE;%vC*fq+-f0a>p-)8
zYXK%YpSoDdA6EE=n^n@!#%cQ~F5MrZ_sTEIy8b}+VVa3<XoAGTT0}0Yz=G|?IR79I
zYcexYwKNSCU&#S+GY<4C#`)!x1=$-y*{lyR>-Q(8r7s>W@xo^*cSx$ZBAL#*D^lJ<
z`-~mVFMEUen{B{nPZ|4}FQLq9h53}_;|Y5K9lIB3CZ_wlJ#p`uR>(Gbg{mB4f5L1r
z0}fE39K#V~5B%KXM;^5g<l7>bsy4aa=-1<xl!up96?k!?8OP;&&{I5uF6zvCNEytT
zG;i7ICC=7U9wh6w41<Oo^(4qK-VQkyHc5`9-Irl8Tcnt(tprnkAjS?W3A3xzyC>Go
z&9<42<0oeb3M##LJnK8st~4T<n1m;;C75fKhup9XL`kGjH&#5nPSQP*p0h<KgR$Ku
z0K(%w&@l4AcTMUj>UDrAIWEg8tnp#Q5@JitA^GAtGW%#}&U+sPn+<U6iyn#&U7#KD
zX}BmJh3nb_Xf@xBt7BWS!hzw?;dS`FZY5;4FM<5M`B;}d3w7&f;9{8?PQRLpGrICn
zKO=)D4<_Sgq!`pBh0*njALr-tpuGAo=dAAt$3D7`W1`f}xlr8BiEnA*cpt9g$giy8
zoOx5mxn)qydC^nAiIC6d_=x9mp8m|`bTs90G-L`nR}xA%$5g90Z_OJyXSKRG`@au!
zj-BPj-ZhgTw?_f-{hHWru?ji*dvHPWB2G3M5nE`B>C^qluMvwc@<q6r(Fv(6Ze~*|
z&H{{-*xlut?2gtVHoSHf+itp^`E_%c(p?TSxU!Dz#Y(pR?IKpsPuY{{>TJtdMHVP6
z%>piqvD$|MENc%p+Zg!=*QZfmZ{iP#U2cc+L=(22u1C3k4S9U3;CP?{y7XNsl_`T3
zW#wD<mLl(LDdxqL;_J>be3UN77Lf}4`>zt4E?413S~XIZ)Z#*D9j-5FKyPFtbsja-
zytM@wZbkZ%c2w>A4xMcs=$Gw8V`L}x&FI3$vt86T(FF-2rkA&L;=+MW_}g{B_x*S3
zIBQ3*7WH8DwLs3W8Jnsb;X0=Q26}anaIc|zVilH>Q~t9=IVzTwV(r;t>~$){p_+Vh
z<mMsRJ_jw6v(f063GG7}sMbiwZ|QGPo0*1BCsWZ8PxHpjDHs_2ip09FQ2g~3ub0rQ
zDli4U`%`IOo`&5ZKciVX<o;z~YG4+ujB}{dH4i-GZ1EN@M)m{hGT^JgW_Oya5<&0Y
zT91||O>h=y#bkqaM0_E3GQSJ!hyl&n)r<YaB;So7mesHimmB-gJKBdQ#E#Bb+lQ5x
zeqqKg@-+7JkPnV>#KfBNJ?TLCfp*ILwIal`327P)&~&M#uHkBIy+Jt;dcMx1=gZPm
z@;L6y!;ZFW*w~Z1=0rNV3)0ZUQt<F%GPpk{;<9=IJ|xEBt3@pNePig^5DjtpXuSFI
z1$}m3AQSopN#fBkrN1BQ7K1s(u{ftieQr}}o<+}VGdtRGtosJnxtS<Ck%O{~d=y<M
zCP#fab)Qt@l1M%J_?oeLpbb4~ozz3tL+*!P82COw&h%mI82Syr;!)Tw8HcF!U&!3}
zi@0rn(L}TScC#_8rS80L!QYUL8^U#R5R`N1-<{oq&W=u~nbLewxCKs+8!)@81_1{v
zA(~FJb50Qovhq-SAsa{KGho-63WvO8Y$VQAhdU0TTG1HDBF^(_IKHj>j1wC|Aapwz
z8=J|OWl3IG17b$q0-!yaSkVH1s5knfaZ3QIgaW}oCkXSx=%4crh6@*ENAklkLn4a&
zU@<t?o`C81Xz!z+fo~bPcygl{&4(+|bG06m9a~`&M~qv-FXTTO#@w1Q6wypz;4u%2
z-o(dr{Q2234?3UzC&<=p5@hj|WqraCU_1+{^C6FyEzsa$p&PhZ?V)j8YNb5%ngQyB
z>P3hp`PST8@%wWF))iD^!FU;J*A?MEr(B4MlW))~6}t{5p?g*wM%2FG?V50OKM27*
z%Jsg#8bID;KkVf8h9J3m7j1oq9bwK`q~(YOns33i(vC8?Z{Vi%8qUA1QKw;zY5uRs
z+w=<3xv!A?)S6s#Ht0U`2EDfAN<Qa6&KP1w2i<Ta-5cNc2SCLA6N>yJv0pC%26f+%
zNcYkU4=Z7DsTopc-C*u?UR}+_dYbu|!hhtc?-XOf!jsuv11a{Ie1qcOWmssh3_G_>
zhAHPsF)3nBjP{B%%NwFhYpW2m>*Zsq_qo}YfiYMQ4<d1LFOKZ}4jE!-e;%oZ>Ky7R
zSd@?LS1E5)nSxoj5+J!Q8hH!Dp}hMOdTIW8YQz^wMxL;nM|s0Pj?izl!?qq9OqYI%
zB?m2#9A-lO<wl5k_z>x(xA6YVb%fFk=&blzTv~7f9!7_t$ghPtu{+7fv<2C5fSt%X
znAogD)2^j3+q@8hkLMz9<Ug#7n}N1Gb$nW(1|=R9yjnRGZ#xueeyxbY-wJqPtVlaQ
zCEQe2Ax>f%JpaysT>l*4`4aU0Sc~IVw?TUQAyj9Qw|UV6Y}c`%v&CEL&GZHTg9v24
zOox+rHO%~bv69}mhsodQ?@cbXZdGR4rAh9u`7HAJVs<cKDLdx3l)3vYX0gNbna%ht
zmZh%2d<&G>`D0VqSpiA5og4)luJALrom`B2{|H3Jd-2HRJIc!&(MWf(2c~pxiYr9^
zP3oVe9)Lxf-;ghxg3Ob|>W#)@2ld?bYR2G8<QI6^k_#&-5@W;<YfPeh<Dy7nuOp%S
zGzy6ys9$kO478`jVea7sEbJ#w3vung$pa!zcVXk;JghG&0`Kf{oDQPycgi=vY@)7P
z!wxvMcH@?69}Y+iQD+~q7fEBNJvl-5aV~agfQz~6kYm}1n@yrUSbH@W+o8<G4sa&m
zQ96dn0)ODxGK8Lo{g_tQi;XfrFn`{6^2WDd*SrSA%&5Uj%0}7FDnayy0?fahgI9qW
z_|2P!wGWfgA(?=S*)fpzkHXfVa9k@7#iaS4P!;|GQC9+yeb66I@A=_%xeuL@y>aFs
zami09V>v?3<rEL>ZTCR&Wl#Lw@AdzEj6yekaV?Y>?i+y!2qkvmUMQAlMZngJykZlH
z=%`8~Rwf7AYKvgqSc#aajTkfdj!9p8F}aD@h@f#~KHz4ZyC{Q7dojZ>A+~dl2s^4w
zzDYAt=5tAu3FnBgrZ2*5-C7~acnh#ilvNI;&xu6N1l~UW0~^6X@I30p<*p8lo@$|v
z**e%huEfJ7)Nx5}w|{>#v6*ITm0C%d{W%r}OQVoq^BITzgR#^x5WXM$AkyYVY^OV>
zXSv|bZAU!VVUIK0-$3D(HOgq7IQP&C%#k*Sj-V;!RG!m&-3Y&rKf}$~Cr~-}7)w$f
z;aBG)#PmLf@^{KO-8MqL)pO`?G$S|93*0Grh1XfOG;4K2y0!;&{*u?!DFk}zF_>(V
z3P*Ye)dy5#2G4hR+Ydlfgo~-j3a}&bqU=WDWHz87%jVk4vzI(dY_HB#mJ~9TwT>z=
z-{Xobl)42AJ7w5(T}jqqJ&9?Mr*YLKes+B)b&5P2#c%I^>T>;o{b?;w%B@AQdO4PS
zqt5wHStzPb#fD9ZxY-^JwS;gOr+vbfKY_46;s>5aPnf@Y2mRBO;nuc?qTXv{6C)Zv
zYJq(Qrr0iQjP56o5k2cJbfxu?zg7?MzW`fp>Qvo&95aj$;i&L_STqrrK6wY`xoyFy
z%|=xAb6{Vz9tx}1A!+SexOJ~V`{}jV7`hJg#x@Z1wh?-w<Zzj`hi2mk;k)lN9v5H1
zHtTyRJz;{PlvfxaXU?GvU%WFQH_+3sh{`TP$P_xGi4Wn$J6^iCim}Wt8OHyBItA<0
zS$3`_Gm)9YjNi>=oAl-~Yv0){`?)65JusbVo>O5L|H(7YE7GjAY7+A^6k=zzc-b|c
zzxXOSh<$}WFn4(?*or!2e=A2vNg+OH=fG)gI_*@y;_1``@Cp!%wu+t+;h)i{|B3qU
zK2VQl0Cd;C$2k#S%vbitoBN&^Q>U&<Wp_kgb3>!N8^Sf*aLmz-GPmw{n&SaS7ccDp
z;e+nf_b8tggpHI7@%<Qv$>jBLdz65WUsAEwfbO5~ifC>_U1Kech)(T*(mTpCGwQst
zpq>Xc>I$Dm{br#;)RQQ}nmKe{o;QhAnM`8d+b6La>fTh{D9RcrA2-iJkl8KbXEI(q
zEI;=jx>RW1wr`NW`@QIQ?toujGfJn_;oXx8$O{ysDl`{+o@GGwb_%ZBBtWbn8lIG6
z`4%4n#Va3hV2wZ6LLbzVYi29u<?`DcF>=KoPh{WVbo(n**IVK#mj#yYHpQk4V_ep!
zTq-fJ)#>*jc9DGT76vd|aTAY?u4D5Z>Q>RbhTB2cASQbQ5=Q!P6uAu)-bY>kQy64F
zNA6V%)Dk;ddD$MW&90Es^@ZW@VAQ{jhRVV;sDGqqeM21#U;n^qgFg^^%gYKhMHts=
z;$iJ&nHaw!n{-Z@IoYYQjW5;M*a0<`#I4E<X_sN>ufQV4D397E$*Smkb$2Sw=Yr^+
zzlVz*n*AGYlYimN;SPM@YQi3oYM9<A!D4bt#4n+po9S27D8yr^D++4{KO=ZiFn)Uk
z;L2L!)A>9RJ>p8e<W5+9#2#PLUSs~zSLl_sg!>pdOGQnvZHo~mPCUltm-lc}?G|cP
zZ{nNnRm2-##-CALycW8EfY@^gS3d_o%7M(fcph1Xx)5}{j1#}ELCD(>VTBKHq{s-j
zRn6f}dk}?4dkB#C<-X5*%-{VPZIcsVSCs`%;|h3`wSn)&AXa;FGmi`*7W+hk6`RYl
zQvr(X(I*wAa%UPF?N(=cGSgWFmpc1cuFBqgo63@T6qr*gWix3fa^#gL+uS6;bawMF
zmNtgS{d8X5`-5D~^xSc*g>+RJlphx0DCO~$l2f6jO`hI4F&N}Tz``a3#nK-zl>Hv*
zVZ<n8xuaH`Jc34!*riVU4%*+$|4E-8Wh?3uvA||oGw2h0zof?qCCi`TljUP9SoaXV
zw)gSK<sLY?_Yfg`pZb-^QL^|kj**+?$S-3YS1^M#c?%asSX0k4brex<+I*fjtQ~@&
zF&YlezC?JLWs!re3|qvSQ8UmBrypZDu!oObJRrhGs8`+SoeYySm1lGGl$hvhW#;)q
znUz{7Gv)uLGV3k{Haa55svbx)+jkPoo!Io)U4l%Nd;uyIl$}Z%LQ{Vabnms};sJ7=
z7+2yoZ!umK=HNx^Hz=-7hJ0=;^50SqvRx=R$se#)k(g_D^6~F*M}V>mv}7GnxX>0_
zH>|-aw8Yi}=GgK3IW8wX1K)n?`_a3Ng4`SMyLSa*1{W|Ge+ElWoj}O(BX}6E4e=LR
zlo8njGaGVEx9mVr`F1os+76E&+cCaoCtg|ZruoD^*!UmB-jw6y3O@&tF6zNMbPtaQ
zjiJ*)KR+dVEPm&XAcG*>b@>7g7kPyrm*Eh7j=Vk(!?%bsW#rfXSs=|m#Vay*Yc+OI
za0XjCrpa;-&0-6u&0>}hG}&@T4R$|Tjh)t*%1#qcS=uDYirmGR#(hC1{(^@M#f(9F
zq#xnAUD&d$1>>5vh;yc{j3)&+lS{6ydudp8pID^KSd5>J0{0r~V?Xo>zdi*)c#}UW
zWPI^@nipp1xntP?bwkHH!#<OG)u%e3A<iD<A1H_0XN$M?wuo|}teKb{3Vzw4R_iSe
ztt5weurq>V-{JTr>iZ?f$IO&Kq}-)$>V`;!55^<z6FElz=7OIXyvmV!>TBx2o4h{c
zNR8pmA8s~7L4duWJ>c7ZF=j|z8T+&(nd3DnW<~dcX?LaA+`E!&ph1E<%O<fMn?>0*
zn$c}O%g;K9(Qiro3s2b*gz5jnESf3oBnIyGf;#+_CHLIyA~asl!Sp8DRXt0_m7Q_a
zuO5Zu6Q7af@e$7j1K?*%-3=SaV?*Dg591EFBSIdV<u(X3vcjA$>MXcvf+%U~<P3a>
zHM+OKefkEh?a3V>bRJ^yr+~1d=<U%)iNQXYZ{7u0y=|1=-2|R|phIZ`(i_*}_pCKo
zB)A$ymaDKndlfd;ug3M3wa^{ifW_N3L1&mgQ;W5*WZ^N`Prraqn+#ys_6#$J$lH9;
z9?Qu`#TyWebNcbnv&zM$uXQ+;@)N6RAF%m95hheA#dI?iS%N$DNK0svCtx;n`Z1R^
zES|?aisrD8iT_wP&kS~Off{oyQDjNWsUv}AcpNDa_PLmkea-rZJkMbqo7)Tf3*=$t
zG$1~t65D-?kwX2ze>yU7Pdyd(5s5hI6pM$MQ4mHrF4Fu~frsX>+k$YV#2<k^e$bBd
zfh4`h=j3|AGS>q^^e%s0;*R)McgUacK+^_KJa_QI4P77Fmyk2oG5}{gKVX0yIkNjB
zz)r?sbRZEb66A68Ax_JaI&6Pck?XMu_mn!}9{LLrlZkDaOgvHw4>R=UXMHk4%w0r;
zDc=)iJ%?!b>?g+lyF?kq_te{UmAW&sDEp8rz@*IiShWy2SiVkxt@?xa)&poN?E$w^
z2Li4(!?d^-W&118)>j1Muw0yW$iPMS6ij3%VA<3d{Cq>sjk%#%-}M2ux&GiO@j=XA
z4~Xx62aB&xXg~fI8p^hKE?@&2g_oFf<OQ75%wVZwf?11=F>m!Vl#D$>2HykZy4=P5
zoZC?IyM^{ux2Q|+7FM?2Mz!WWSQ<Zsi_kNi_+yMvA2aaETj8qiYm~S-AV1p;D~A1W
zeLD3T?uo&?%W2qrtPm=rwHTG`g7NVY^l*ruvlU_+$jNuiOPVoqBM2T*VqMP4jGNpE
zD?(M+RabIMI4H4&+4Ag^jx5`4A<677PGU>QF{W3_#~kgr*txpju&w`vmCHJz+t!50
z-fGnCF2%s#JZ%3%ozc`q79LCens>e+_F@=<tb$=*AAk_r0Y(UTBB#O?#s!W@>b9fa
zgxC0O{}LQ>;(F$p;+iLMYs6+NUA+&5VM8PqUB^_)j;*k{0F6gFSX^`xGLFX}TX`6J
zJrAPe?*Sa-J^+t|{p9mLfLn3eIK22UX6GHl-jLJO5pn@vzhA?s-CaaD8DaSy3-Hta
zfBr{j2u<_F)yfbUWyNECEp>6VQ|9@7C%$C-L0}JcK7@*~Q|;31>Q+Ve?2RfrX+52d
zDa>TWGd0<kB<jfEB`4HOb(VZqh1vg6U@@AqELD9nla~`^^C-7I|0FjP4E%!|%6$l>
zjKf;DCRn&tLrAI=4!`nnWI-mje@lT;Py%*WMq}aj2$~6mprM7jZ|E5mc+MB9!=Bim
z<c69gVh(>h;`-IMlpnUkpcu8gaVR$zPZ<=`m$>O=g%LR`*!5WA<vc5lHCQ1|{1pzQ
zStD2U4GieH{N%ACToYWeGu9JRACi}jFBox$BVc|b9#x!gFpka#C$<v(#EG7Y>A|;M
zzp;83F+Z~fn5&xzn`JD{KF3J1p*fW4&5~vER&vbawj4`&E6Zkb$*|IVNfxIf!S;}6
z<7pJ#MVIiiYA0@X`WIzb;s?<i&;zlQc9=>uV)@%DY}YQq<Xw3Pdq6#wG<)4(5D(L3
zUy!O1hRf@MG5s;k;F^3WQ{aIyDe}<Ok{>zE7L{4nX#8Ob{aNM+HhK<Ax-$;{y@yq_
z0}zbY!%UqE<S;&s{6$B>Ieq{opLQc)&Nd7dGW>H}huO9(@$=&nwDinJqV{Z@Xqtg<
zcGIxrsxsZv6tLutEM7E7!tAg(_{T(WF;@_u^7-J*&qLhH1gCcUDCftLVUAO5KWB6Q
zPmakz52vA~n-i1Y&DlTP!|5~m#nFr!<SZ#1<;2=@<A;bKM1;g~I7<$44%4tOVLtxZ
ztw+D17A&JK!mZ*Nb{A3adz~lz#=`0BMtyk2G~+EE!K=kWEb5R9ODR-kg%Y#bxandx
z61$SUJGGW(gX>s9+8Wk4v4ZIvEoSqp=dgEn8tl#tWyVjgyEQW<SkP}FCT#e>uCc$E
z89{fGvpsk-g_wfKChS!s7Ia+|Fj9ucYf4a0{ABlk1;kF}VP{Y-tb23dN3-rsog8GC
z=OF(V<xre+vHx)%PB_zxtg`@imuN2`Rf0QBrT9`%j_C4A>f@`%BdI#nuV{e&;U?5w
zYC-O~Hpmgn@N<anTjXL?DE@(c-QAQ6?t#|XUOb4V*=82)5FN<JqS_0+i#_PoCvP$P
z0m+6=IPIkQ#4GZ&e4u>Qhh~VqX~d&*^$4Id&HLsma(Pu?`o1ze5G}!BVmK^3^5Oe5
z7t)5=ka?Vm49|2dY)Zp=q@p;LX8n4}$X}C$)a8jddO87!ri}Zhco<P`s&OI?mXx`7
z^Cpk*z66MGNQBV!BpB8wgS}2cpm7>_BGU13S{8nh`~JHZ%{T*#&|hAPG;%oPJ*`1S
zTRlE)ZN>?wHr&hZz*D*huX5|fOpQKb^at>fGQYPz4nsF?1idGJqrmnz<c|MFU(5()
zmxr-lYY1zd2C&$+57)Q-q<%JX*h_Tb%98I`xv~{oXEtF9e?6YnkP9@V0_)97G3R0t
z{vOCjzE%!S634G@^9`rUQZR?k#g@qlFw~2qS#b=~SAW6A3z2w6+3w7}VX%<<3@!Ok
zR2&IGZw=+@{XW4Z<`eaH(cHKw1Se}lu>xV#Z5BcAmndZUM&p=y9QI`=Vx3+J&HvN!
zIy@V1cNXBBI_-#NRbgabJ)W4fApaBfHIR=c^hH06X<w|THU^9637jG4T#+O($h|yl
z^d>Lsb>?LuS9saN@6@wH9j%h%T<q&s>N}e~j)}0}u;?3vKV@B)7IovAbq88jwZf>b
z0X~!+Ve=}W)?Q4x^?by?$tGr#I+(puU|*I9&Dn8S<n;yb*GAyU1kLX|g5mc!2#+=d
zpgz=(?teb`J<kh=IUew}al<U)Iedp*uuYyioh+TPMcWzI9y()}pbPf>bAhJbJ2>rk
z$L<8m<c9g+>q@$_AN&9d(NKImLA{e(;^0i5ub;H%P1;gO?u$x@@1fkBQwM??$l*`>
z4^wR}Cey~tj>rhIce%nWf!NS9<T@?17H1c!TgM<koH-IhS@=YZX-0}LZ7U&mn_OAH
z&hip(&Bg51$0$oTgi3zOgZ$}0&c9|9(0BR#*$T|gq^!MmE-niai`DcMPA&295sk*#
zqv15e{{-%HL9kJNPfQ_sVaLb=r{V&u^VA=hXA7?*HW(6oiGmvPCX|`Nd&n5x>z~2t
z{6oxpe+O+_4G^>MI+`-C;9tx|>|1bwIH7aMtkuEEWjeThKnG5{&tlQK^9Wdf5qkQ1
z$Qro`m*KnEz2g~mw^Nt0pB4HlDAzpA75l7xaZZgmy`oqMzovWt$}+?_w&3Rl>MI~#
zr+~W54rY+ke1hEdT8d2GT7?Z+O=D8ar!#)5=}gK^on5d|V~5`;v&c#XCi{-wL*kOm
z@R%4mQUzHjxziHm|H8;-5clqMV|HOH>YeNGF|QmV=L^xSosFGNY1C0f+5Az;txSr<
z(PQKSAkWho2Y(Db^&z)`2lmlyB;cqMKL4}FaOoR7uC_*|<V#dPdV%#S=8*Ygf~k_v
zk#WTcn?;{tW#41mFnoluj}MU)@(=|!kH|Cq1Yus!AnRw0IXg_z;$cC|GckzHZ?OHi
zBTV?+aoNic!;9&=N4vN+8Yx(QE)Qn=tLRMM2A5m?IHmj#@587+@D6n~2Tf*o)MT0T
zXL+`2gA%igoyt_FDKp-uQ&}qc<LAGWXKzhpS?`1-yQ417meQI2-Vc7Z_Zv4mt3z%U
zg8@|L{DA1~R;;*L2aWi07#u9bn-$qGIGKijl=(SNS)MgZBjB<s1XGEntjzJlkpo_M
z#qEX^$`{(^*rUGnHNL67g2%%b_&s7ucOYZD_kM!P6ZfEZ!~m}y$Qvhr5r3O>U^aLH
zd$o^Hrc)ae;`^}f&Mu^H+>UidTQF($Ch8hsXg>)2SHnS#8W6LAK}~xT&OF(QU(GvV
z5~PJ5?xP4$IEyijYj}L*0Xhb#Q<&QtCKsKcx`cYiFMLKpUlN>XH|tFNvfS@J<WgV6
z7V;_RG)l4Hi;7IQihKdo4|wOsEVi1>VG+7>Sk0eVOn0FsQ`tM66?>_$T=K~-<db3l
zti+lBVqx}9nr0YJh_`z%1Zm|S<mj~F&$@bu`&D4*MG+P@=HS7*bjVO9v2I!d&FrJW
z8X_R7`599_2czR*5C+ZsVOi{p)YINDSm+6*t?uY~{|<2nTrr{Lg53Acs5tBl9X)3(
z?x4=$G8YuDen%b(cg%R{i4ij&q>%IQE9V2w3Weg`^++t$r<|2=3R32gBPEwS;`x<O
zozg_Jkxr;|^kKF9C~|(0!^?t?CBzA`SB4_&pWFXtn&PZjNrIK?QXihQ1oNf8PDv4C
eQ`<zCEcIyYR25*4PV%yF;$e)NMj@Uui2noM;2vlI

diff --git a/examples/ode/DuffingEquation/DuffingTest_fit.ipynb b/examples/ode/DuffingEquation/DuffingTest_fit.ipynb
index a7a6b89c..bbea4960 100644
--- a/examples/ode/DuffingEquation/DuffingTest_fit.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_fit.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -60,7 +60,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -78,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -95,7 +95,7 @@
       ]
      },
      "metadata": {},
-     "execution_count": 6
+     "execution_count": 5
     }
    ],
    "source": [
@@ -104,14 +104,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:54:50.764412</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m60a3c5ad1e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m60a3c5ad1e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(41.56554 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.69353\" xlink:href=\"#m60a3c5ad1e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(106.560718 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.688708\" xlink:href=\"#m60a3c5ad1e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(171.555896 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.683886\" xlink:href=\"#m60a3c5ad1e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(236.551074 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.679064\" xlink:href=\"#m60a3c5ad1e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(301.546252 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.674242\" xlink:href=\"#m60a3c5ad1e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(366.54143 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mac96f06c53\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mac96f06c53\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mac96f06c53\" y=\"224.660781\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.46)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mac96f06c53\" y=\"188.105562\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 191.904781)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mac96f06c53\" y=\"151.550343\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 155.349562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mac96f06c53\" y=\"114.995124\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 118.794343)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mac96f06c53\" y=\"78.439905\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 82.239124)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mac96f06c53\" y=\"41.884686\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 45.683905)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pb6e8e70c2a)\" d=\"M 52.698352 261.216 \nL 53.998256 261.122669 \nL 55.298159 260.843683 \nL 56.923038 260.236196 \nL 58.547917 259.344019 \nL 60.172796 258.170207 \nL 61.797677 256.717857 \nL 63.422557 254.990103 \nL 65.372414 252.557748 \nL 67.322267 249.738978 \nL 69.272119 246.539483 \nL 71.546946 242.333332 \nL 73.821773 237.626467 \nL 76.096601 232.428886 \nL 78.696404 225.901549 \nL 81.296206 218.764278 \nL 84.220984 210.029687 \nL 87.145762 200.578717 \nL 90.395516 189.282979 \nL 93.970244 175.964801 \nL 97.869948 160.491734 \nL 102.419603 141.433395 \nL 108.91911 113.090869 \nL 115.743592 83.524843 \nL 119.318321 68.917847 \nL 122.243099 57.795983 \nL 124.842902 48.744838 \nL 127.117729 41.606908 \nL 129.067581 36.154735 \nL 131.017433 31.38317 \nL 132.64231 27.966942 \nL 134.267186 25.089661 \nL 135.567088 23.191437 \nL 136.866989 21.662278 \nL 138.16689 20.509207 \nL 139.141816 19.894089 \nL 140.116742 19.494172 \nL 141.091668 19.309701 \nL 142.066594 19.340065 \nL 143.04152 19.583871 \nL 144.016446 20.038922 \nL 144.991372 20.702254 \nL 146.291274 21.904114 \nL 147.591175 23.45874 \nL 148.891077 25.353181 \nL 150.515953 28.176252 \nL 152.14083 31.474124 \nL 154.090682 36.007009 \nL 156.04057 41.103294 \nL 158.31544 47.665082 \nL 160.915291 55.83262 \nL 164.165105 66.787584 \nL 169.039826 84.099453 \nL 176.839379 111.825282 \nL 180.739156 124.868318 \nL 183.98897 135.035406 \nL 186.913802 143.532641 \nL 189.838635 151.341033 \nL 192.438486 157.661908 \nL 195.038337 163.371064 \nL 197.313207 167.849085 \nL 199.588077 171.834065 \nL 201.537965 174.85238 \nL 203.487853 177.50109 \nL 205.437742 179.778862 \nL 207.38763 181.6854 \nL 209.012537 182.991017 \nL 210.637444 184.040087 \nL 212.262351 184.833785 \nL 213.887258 185.373645 \nL 215.512165 185.661508 \nL 217.137072 185.699516 \nL 218.761979 185.49011 \nL 220.386886 185.036026 \nL 222.011793 184.340273 \nL 223.6367 183.406134 \nL 225.261607 182.237201 \nL 227.211495 180.530038 \nL 229.161383 178.497692 \nL 231.111272 176.148174 \nL 233.386141 173.017979 \nL 235.661011 169.483501 \nL 237.935881 165.561874 \nL 240.535732 160.630502 \nL 243.460565 154.548098 \nL 246.385397 147.949828 \nL 249.635211 140.086101 \nL 253.534988 130.039879 \nL 258.409709 116.826535 \nL 270.109039 84.843995 \nL 273.683834 75.87882 \nL 276.608666 69.12775 \nL 279.208518 63.682393 \nL 281.483387 59.418276 \nL 283.433276 56.177978 \nL 285.383164 53.352484 \nL 287.008071 51.333813 \nL 288.632978 49.634301 \nL 290.257885 48.264356 \nL 291.882792 47.231785 \nL 293.182717 46.652173 \nL 294.482643 46.293114 \nL 295.782569 46.154765 \nL 297.082494 46.236115 \nL 298.38242 46.534968 \nL 299.682345 47.048011 \nL 300.982271 47.770835 \nL 302.607178 48.960894 \nL 304.232085 50.457231 \nL 305.856992 52.244751 \nL 307.80688 54.749988 \nL 309.756768 57.617177 \nL 312.031638 61.372173 \nL 314.631489 66.130352 \nL 317.556322 71.966632 \nL 321.131117 79.604881 \nL 327.305763 93.443088 \nL 333.805391 107.841401 \nL 337.705168 115.951435 \nL 340.954982 122.238093 \nL 343.879814 127.452465 \nL 346.804647 132.193073 \nL 349.404498 135.97548 \nL 351.679368 138.932682 \nL 353.954238 141.54796 \nL 356.229107 143.811718 \nL 358.178996 145.46685 \nL 360.128884 146.855403 \nL 362.078772 147.975425 \nL 364.028661 148.826105 \nL 365.978549 149.407616 \nL 367.928437 149.721137 \nL 369.878326 149.768767 \nL 371.828214 149.553522 \nL 373.778102 149.079297 \nL 375.727991 148.350852 \nL 377.352898 147.553641 \nL 377.352898 147.553641 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb6e8e70c2a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:17:26.947391</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m1cfe2a6b97\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m1cfe2a6b97\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(41.56554 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.69353\" xlink:href=\"#m1cfe2a6b97\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(106.560718 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.688708\" xlink:href=\"#m1cfe2a6b97\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(171.555896 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.683886\" xlink:href=\"#m1cfe2a6b97\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(236.551074 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.679064\" xlink:href=\"#m1cfe2a6b97\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(301.546252 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.674242\" xlink:href=\"#m1cfe2a6b97\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(366.54143 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mc89a834d42\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mc89a834d42\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mc89a834d42\" y=\"224.660781\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.46)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mc89a834d42\" y=\"188.105562\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 191.904781)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mc89a834d42\" y=\"151.550343\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 155.349562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mc89a834d42\" y=\"114.995124\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 118.794343)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mc89a834d42\" y=\"78.439905\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 82.239124)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mc89a834d42\" y=\"41.884686\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 45.683905)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p044e0370d8)\" d=\"M 52.698352 261.216 \nL 53.998256 261.122669 \nL 55.298159 260.843683 \nL 56.923038 260.236196 \nL 58.547917 259.344019 \nL 60.172796 258.170207 \nL 61.797677 256.717857 \nL 63.422557 254.990103 \nL 65.372414 252.557748 \nL 67.322267 249.738978 \nL 69.272119 246.539483 \nL 71.546946 242.333332 \nL 73.821773 237.626467 \nL 76.096601 232.428886 \nL 78.696404 225.901549 \nL 81.296206 218.764278 \nL 84.220984 210.029687 \nL 87.145762 200.578717 \nL 90.395516 189.282979 \nL 93.970244 175.964801 \nL 97.869948 160.491734 \nL 102.419603 141.433395 \nL 108.91911 113.090869 \nL 115.743592 83.524843 \nL 119.318321 68.917847 \nL 122.243099 57.795983 \nL 124.842902 48.744838 \nL 127.117729 41.606908 \nL 129.067581 36.154735 \nL 131.017433 31.38317 \nL 132.64231 27.966942 \nL 134.267186 25.089661 \nL 135.567088 23.191437 \nL 136.866989 21.662278 \nL 138.16689 20.509207 \nL 139.141816 19.894089 \nL 140.116742 19.494172 \nL 141.091668 19.309701 \nL 142.066594 19.340065 \nL 143.04152 19.583871 \nL 144.016446 20.038922 \nL 144.991372 20.702254 \nL 146.291274 21.904114 \nL 147.591175 23.45874 \nL 148.891077 25.353181 \nL 150.515953 28.176252 \nL 152.14083 31.474124 \nL 154.090682 36.007009 \nL 156.04057 41.103294 \nL 158.31544 47.665082 \nL 160.915291 55.83262 \nL 164.165105 66.787584 \nL 169.039826 84.099453 \nL 176.839379 111.825282 \nL 180.739156 124.868318 \nL 183.98897 135.035406 \nL 186.913802 143.532641 \nL 189.838635 151.341033 \nL 192.438486 157.661908 \nL 195.038337 163.371064 \nL 197.313207 167.849085 \nL 199.588077 171.834065 \nL 201.537965 174.85238 \nL 203.487853 177.50109 \nL 205.437742 179.778862 \nL 207.38763 181.6854 \nL 209.012537 182.991017 \nL 210.637444 184.040087 \nL 212.262351 184.833785 \nL 213.887258 185.373645 \nL 215.512165 185.661508 \nL 217.137072 185.699516 \nL 218.761979 185.49011 \nL 220.386886 185.036026 \nL 222.011793 184.340273 \nL 223.6367 183.406134 \nL 225.261607 182.237201 \nL 227.211495 180.530038 \nL 229.161383 178.497692 \nL 231.111272 176.148174 \nL 233.386141 173.017979 \nL 235.661011 169.483501 \nL 237.935881 165.561874 \nL 240.535732 160.630502 \nL 243.460565 154.548098 \nL 246.385397 147.949828 \nL 249.635211 140.086101 \nL 253.534988 130.039879 \nL 258.409709 116.826535 \nL 270.109039 84.843995 \nL 273.683834 75.87882 \nL 276.608666 69.12775 \nL 279.208518 63.682393 \nL 281.483387 59.418276 \nL 283.433276 56.177978 \nL 285.383164 53.352484 \nL 287.008071 51.333813 \nL 288.632978 49.634301 \nL 290.257885 48.264356 \nL 291.882792 47.231785 \nL 293.182717 46.652173 \nL 294.482643 46.293114 \nL 295.782569 46.154765 \nL 297.082494 46.236115 \nL 298.38242 46.534968 \nL 299.682345 47.048011 \nL 300.982271 47.770835 \nL 302.607178 48.960894 \nL 304.232085 50.457231 \nL 305.856992 52.244751 \nL 307.80688 54.749988 \nL 309.756768 57.617177 \nL 312.031638 61.372173 \nL 314.631489 66.130352 \nL 317.556322 71.966632 \nL 321.131117 79.604881 \nL 327.305763 93.443088 \nL 333.805391 107.841401 \nL 337.705168 115.951435 \nL 340.954982 122.238093 \nL 343.879814 127.452465 \nL 346.804647 132.193073 \nL 349.404498 135.97548 \nL 351.679368 138.932682 \nL 353.954238 141.54796 \nL 356.229107 143.811718 \nL 358.178996 145.46685 \nL 360.128884 146.855403 \nL 362.078772 147.975425 \nL 364.028661 148.826105 \nL 365.978549 149.407616 \nL 367.928437 149.721137 \nL 369.878326 149.768767 \nL 371.828214 149.553522 \nL 373.778102 149.079297 \nL 375.727991 148.350852 \nL 377.352898 147.553641 \nL 377.352898 147.553641 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p044e0370d8\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiwAAAGdCAYAAAAxCSikAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAABao0lEQVR4nO3deXxTZdo+8Ct72tKmdF/pxlLKWlooLZvIJijC6AiOCo7iwozzCvKbd0bGccZtRF+XwQ0VZQYdlc2K6IgCLuwVaGmRnUIpXUNpaZvuaZLz+yNNtJSlKUlOluv7+eSPhpP0PsfaXD3P89yPRBAEAUREREQuTCp2AURERETXwsBCRERELo+BhYiIiFweAwsRERG5PAYWIiIicnkMLEREROTyGFiIiIjI5TGwEBERkcuTi12AvZhMJlRUVMDf3x8SiUTscoiIiKgbBEFAQ0MDoqKiIJVe+T6KxwSWiooKxMbGil0GERER9UBpaSliYmKu+O8eE1j8/f0BmE84ICBA5GqIiIioO3Q6HWJjY62f41fiMYHFMgwUEBDAwEJERORmrjWdg5NuiYiIyOUxsBAREZHLY2AhIiIil8fAQkRERC6PgYWIiIhcHgMLERERuTwGFiIiInJ5DCxERETk8hhYiIiIyOUxsBAREZHLY2AhIiIil8fAQkRERC7PYzY/JOqpdqMJeedqkXeuFrrWdmh8FBgcpUFmUjAUMmZ6IiJXwMBCXstkEvDJ/hKs+OE0Kupbu/x7mL8KCyckYX5mHOQMLkREomJgIa9U1dCKRWsKkFNUAwDo7avAmL4hCPNXo7qxDXtOV6OqoQ3P/PcYNuaX4515aYgO9BG5aiIi78XAQl7nXE0T7lm1D6UXW+CjkOF/pw3AXRl9oFbIrMfoDSZsyCvF/31zEofL6zHrzd1Yfd8oDI7WiFg5EZH34n1u8ira+lb8ZuWPKL3YgrhgX3z16FjcPzahU1gBAKVcirsz4rB50TikRAagulGPe1btwwmtTqTKiYi8GwMLeY1mvQH3rT6AivpWJIX6YcPCTCSG9rrqa6IDfbD24dEYFqNBXXM77vv3AVxoaHNSxUREZMHAQl7j6S+O4XilDiG9VFh93yiE+au79boAtQIf3p+BxFA/VNa34ncf5cFgNDm4WiIi+iUGFvIKX/1UiXW5pZBIgDd+k4rYIF+bXq/xVeD9+enwV8uRe64WK7afcVClRER0OQws5PGqG9vwl42HAQC/vyEJmUnBPXqfxNBeeG72YADA698V4nBZvd1qJCKiq2NgIY/34tcnUN/SjkFRAVg8uf91vdetw6Jw85BIGEwC/t+GArRzaIiIyCkYWMij5Z2rxYa8MgDAM7MGX3fnWolEgmdnD0ZvXwVOnW/ERz+es0eZRER0DQws5LEEQcDTXx4FAMxJj0FaXG+7vG+QnxL/Oy0ZAPDqtlOoaeSqISIiR2NgIY+15eh5/FRWDz+lDH+6Kdmu7z13ZCwGRQWgodWAV7adsut7ExFRVwws5JGMJgGvbjsJALh/bAJCeqns+v4yqQR/nzkIALD+QCnO1TTZ9f2JiKgzBhbySP/9qQKnzjciQC3HA+MSHfI9RiUEYUL/UBhMAl77rtAh34OIiMwYWMjjCIKAtzv6pDw4LhEaH4XDvtf/m2pedfR5fjlOVzU47PsQEXk7BhbyOLtPV+OEtgG+ShnmZ8U79HsNjQnE1JRwmARgxQ9sJkdE5CgMLORx3tt1FgAwJz3WoXdXLP5wY18AwBeHKlBZ3+Lw70dE5I0YWMijnNQ2YOepC5BKgAVjE5zyPYfGBCIjIQgGk4B/7yl2yvckIvI2DCzkUd7fVQQAuGlwhM37BV2PhyeYJ/Z+sq8EutZ2p31fIiJvwcBCHqOuWY9NhyoAOO/uisUN/cPQL6wXGtsMWLu/xKnfm4jIGzCwkMfYmF8OvcGEgZEBGNHHPl1tu0sqleDB8ea7LB/sPQejSXDq9yci8nQMLOQRBEHA2v2lAIDfjIqFRCJxeg23DotCoK8C5XUt2HGqyunfn4jIkzGwkEfIL63DyfMNUCukmDU8WpQa1AoZ7kiLAQB89COHhYiI7ImBhTzCuo67KzOGRDplKfOV3JURBwD44WQVSi82i1YHEZGnYWAht9fYZsCXP5kn2945so+otSSE+GFs3xAIArD2AO+yEBHZCwMLub0tR7Ro1huRGOKHkfHOnWx7OXdnmEPTugOlaDeaRK6GiMgzMLCQ2/u8oBwAMDs1WpTJtpeanBKOkF4qVDfqsePkBbHLISLyCAws5NYuNLRhz+lqAOZVOq5AIZNi9nBzLdkHy0SuhojIM9gcWHbu3ImZM2ciKioKEokEn3/++VWP3759OyQSSZfHiRMnOh2XnZ2NlJQUqFQqpKSkYOPGjbaWRl7ovz9VwCQAw2MDER/iJ3Y5VreNMK8W+u54Feqa9SJXQ0Tk/mwOLE1NTRg2bBjefPNNm1538uRJVFZWWh/9+vWz/ltOTg7mzp2LefPm4dChQ5g3bx7mzJmDffv22VoeeZnPC8yTbS13NFxFSlQABkYGQG804cuO7rtERNRzcltfMH36dEyfPt3mbxQWFobAwMDL/tvy5csxZcoULF26FACwdOlS7NixA8uXL8eaNWts/l7kHYqrm3CotA4yqQQ3D3WtwAIAt4+IxnNf6ZB9sBzzMuPFLoeIyK05bQ5LamoqIiMjMWnSJPzwww+d/i0nJwdTp07t9Ny0adOwd+/eK75fW1sbdDpdpwd5l/92LGUe0zcEof4qkavpatbwaMikEhSU1uHMhUaxyyEicmsODyyRkZFYuXIlsrOz8dlnn2HAgAGYNGkSdu7caT1Gq9UiPDy80+vCw8Oh1Wqv+L7Lli2DRqOxPmJjYx12DuSavjlq/vm4eUiEyJVcXqi/ChP6hwIAsvM4+ZaI6HrYPCRkqwEDBmDAgAHWrzMzM1FaWoqXX34Z48ePtz5/6XJUQRCuukR16dKlWLJkifVrnU7H0OJFSi8240i5DlIJMHlg+LVfIJLbR8Tg+xNV+OJQBf532gCXWHZNROSORFnWPHr0aBQWFlq/joiI6HI3paqqqstdl19SqVQICAjo9CDvsaXj7kpGQjCCe7necJDFjclh8FXKUFbbgoLSOrHLISJyW6IElvz8fERGRlq/zszMxLZt2zods3XrVmRlZTm7NHITlsBy02DXHA6y8FHKrHeA/vtTpcjVEBG5L5uHhBobG3H69Gnr12fPnkVBQQGCgoLQp08fLF26FOXl5fjwww8BmFcAxcfHY9CgQdDr9fjoo4+QnZ2N7Oxs63ssWrQI48ePx4svvohZs2Zh06ZN+Pbbb7F79247nCJ5mqqGVuSeqwUATB3kusNBFrcMjcQXhyrw1U+VeGLGQEilHBYi72AyCSitbUZ1YxvajQKC/JSIC/aFSi4TuzRyQzYHltzcXEycONH6tWUeyb333ovVq1ejsrISJSU/b/qm1+vxxz/+EeXl5fDx8cGgQYPw1VdfYcaMGdZjsrKysHbtWvz1r3/Fk08+iaSkJKxbtw4ZGRnXc27kobYePQ+ho1lcpMZH7HKuacKAUPir5NDqWpFXUouR8UFil0TkMAajCVuOnsdXhyuw4+QFNOmNnf5dKZdieEwgbhkWiVnDo0XdXZ3ci0QQBEHsIuxBp9NBo9Ggvr6e81k83LxV+7CrsBqPT0/GwglJYpfTLUvWF+Czg+W4NzMOT88aLHY5RHYnCAI25pfjte8Kca6m2fq8Ui5FRIAacqkEFxrb0NBqsP6bj0KGB8cn4uHxifBTOXwNCLmo7n5+8yeE3Ep9cztyztQAAG4a5NrzV35p5tAofHawHJuPaPG3mYMg47AQeZCy2mYs/ewwdhWa9/UK8lNi7shY3DQoAoOiAiCXmadLCoKAs9VN2H7yAtYdKMXJ8w14/btCrDtQglfuGI6x/ULEPA1ycQws5FZ2FF6AwSSgf3gvl9o76FrG9A2BxkeBCw1t2He2BllJ/MVMnmHvmWr8/uODqGtuh0ouxaOT+uG+MfHwVXb9eJFIJEgM7YXE0F64b0w8thzVYtnXJ3Cuphn3rNqHhyck4k/Tkhno6bK4WzO5lR9OVAEAJiaHiVyJbZRyKaZ1TBD++vCVGyISuZMNuaWYv2o/6prbMTRGg68XjcMjE/teNqxcSiKR4KbBkfhm0XjcM7oPAODdHUX43Ud5aLlk3gsRwMBCbsRoErD9pDmw3DjAvQIL8PMS7K3HtDCZPGLqGHmxT/aV4H8//QkGk4BZw6Ow/uFMJIb2svl9fJQyPDd7CF67cziUMim2HjuPeav2obHNcO0Xk1dhYCG3UVBah9rmdgSo5UiL6y12OTbLSgqBn1KG87o2HCqrE7scoh777GAZ/rLxMADgvjHxWD53ONSK61uqPGt4ND5+MAP+ajlyz9Xi/n8fQBNDC/0CAwu5Dctw0Pj+odZJfO5ErZBZh7K2HD0vcjVEPZNzpgZ/zv4JAHD/mAT87ZYUu205MTI+CB8tyIC/So79xRfxh08OwmA02eW9yf2532998lrfdwSWG91s/sovTetY2bT1qBYe0lGAvMiZC414+D+5aDcKuHloJP5680C77481LDYQq+8fBbVCih9OXsAz/z3G/1cIAAMLuQltfSuOVeogkcC6A7I7umFAKJQyKYqqm3C6qlHscoi6rVlvwMP/yYOu1YARfQLxyh3DHNa1OS2uN/45ZzgA4MOcc1i9t9gh34fcCwMLuYUfOibbDo8NdOnNDq/FX63AmL7BAIBvjnC1ELmPp744itNVjQjzV2Hl/PTrnrNyLdOHROLx6ckAgH98dRx5HdtxkPdiYCG3YB0OcsPVQZeyDAttOcbAQu5hU0E51ueWQSIBlt85HCFO+qPh4fGJuGVoJAwmAf/zyUHUNeud8n3JNTGwkMtrMxix57S5g6a79V+5nMkp4ZBKgCPlOpTVNl/7BUQiqqxvwV83HgEA/M+N/Zza9FAikWDZbUMQH+yLivpW/L/1hzifxYsxsJDLO3C2Fs16I8L8VRgU5f77RIX0UiG9YwPErVwtRC5MEAT8deMRNLQZMDw2EI/e2NfpNfirFXjr7hFQyqX47kQV1h4odXoN5BoYWMjl7Sq8AMC8nNneKxLEYhkW+vY4Awu5ri8OVeC7E1VQyqR46ddDRWsnMChKgz9NGwAAeO6/x3hn0ksxsJDLs2yoNs6DNkabPNA8tLX/7EXoWttFroaoq9omPZ7+8hgA4A839kW/cH9R67lvTALS43qjSW/Enz79id2ivRADC7m06sY2HKvUATBvIOgp4oL9kBTqB4NJwK5T1WKXQ9TFq9tO4WKTHgPC/bFwQpLY5UAmleClO4ZBrZBi75karM/l0JC3YWAhl2aZbJsSGeC0lQnOMmmgeTPE705wWIhcywmtDh/vOwcAeOrWQVDKXeOjIiHED3+cah4aeuGbE7jYxFVD3sQ1fgqJrsATh4MsLB17t5+8ACNvb5OLEAQBT39xDCYBmDEkAplJwWKX1Mlvs+KRHOGPuuZ2vPj1CbHLISdiYCGXJQgCdncElrEeGFjS4nojQC3HxSY9CkrZFItcw5aj55FTVAOlXIql0weKXU4XcpkU//jVYADAutxS5BZfFLkichYGFnJZZy40QqtrhVIuxciOZcCeRCGTYkJHI7zvjleJXA0RoDeY8Pzm4wDMTdtig3xFrujy0uKCMDc9FgDw18+PcINEL8HAQi5rZ8dk1FHxQQ5vAy4Wy2ohSydfIjGtyy1FycVmhPRS4Xc3iD/R9mr+PD0Zgb4KnNA2YENemdjlkBMwsJDL2n3ac+evWEzoHwqpBDihbWBvCRJVa7sRb35fCAD4nxv7wlcpF7miqwvyU+LRG/sBAF7ZegpNbQaRKyJHY2Ahl6Q3mPBjUQ0Az5y/YhHoq0R6nHm46wfeZSER/SfnHM7r2hAd6IM7R8WKXU633DM6DvHBvqhubMO7O86IXQ45GAMLuaT8EnM7/mA/JQZGuH87/qu5sWNY6FvOYyGRNLS2Y8X20wCARZP6QSV3jyFYpVxq3dF55a4iaOtbRa6IHImBhVySpf9KVt8QSKWe0Y7/SiZ1LG/OOVPD29okitV7ilHb3I7EED/cNiJa7HJsMm1QBNLjeqO13YRXtp4UuxxyIAYWckk/FpmXKma5WA8IR+gb1guxQT7QG03WoEbkLE1tBqzacxYAsGhyP9H2C+opiUSCJ242L7/+9GAZTmh1IldEjuJeP5nkFVr0RuR39CXJTPT8wCKRSDApuaPrLYeFyMnW7C9BXXM74oN9ccvQKLHL6ZHUPr1x85BICALw6tZTYpdDDsLAQi4n71wt2o0CIjVqxAW7Zh8Ie5vYMSy049QFCAK73pJztBmMeH+X+e7KwxOSIHPj4dfHpvSDVAJsPXYeP5XViV0OOQADC7kcy+qgzMRgSCTu+wvUFhkJQVArpNDqWnHyfIPY5ZCX2HiwHFpdK8IDVG43d+VSfcP8MXu4+Rxe3ca7LJ6IgYVcTk5HYBntBcNBFmqFzHq+O05eELka8gZGk4B3OpYCPzgu0W1WBl3Nosn9IJNKsP3kBbbs90AMLORSmtoMOFRaBwAut+mao93QPxSAeTNEIkfbfLgSxTXNCPRV4Dej+ohdjl3EBfthTnoMAHMzOfIsDCzkUvLO1cJgEhAd6OOy+5g4imVfodxzF9HI5c3kQILw892V32bFw0/l2l1tbfGHG/tBKZMip6gGe7nqzqMwsJBL8cbhIIuEED/EBfui3SjwFy051P6zF3G0QgeVXIr5mfFil2NX0YE+mDvS3Kn3je9Pi1wN2RMDC7mUnDMdE269bDjIYkLHsNCOUxwWIsf5955iAMBtI2IQ5KcUtxgHWHhDEuRSCXKKapB3rlbscshOGFjIZTS2GXC4vB6A9waWGwb8PI+Fy5vJEUovNmPrMS0A4P4x8eIW4yDRgT7WVU9v/cC7LJ6CgYVcxoHiizCaBPQJ8kV0oI/Y5YhidGIwlHIpyutacOZCk9jlkAf6YG8xTIJ5F/R+4f5il+Mwv7uhL6QS4PsTVTjS8YcQuTcGFnIZP56xzF8JErkS8fgq5chIMJ//9pPsekv21dhmwLoDpQCA+8cmiFyNYyWE+GHmMHPnXsvGjuTeGFjIZVgbxnnpcJAF57GQo3yaW4qGNgMSQ/0woV+o2OU43O9v6AsA+PqIFqer2JDR3TGwkEvQtbZb56944wqhX7LMY9l39iJa9EaRqyFPYTIJWL23GABw35gEj98FHQAGRPhj2qBwCAKw4oczYpdD14mBhVzCgbMXYRKA+GBfRGq8c/6KRVJoL0QH+kBvMFnvOhFdr92nq1Fc0wx/lRy3u3kbflv8YWI/AMCmQxUoqWkWuRq6HjYHlp07d2LmzJmIioqCRCLB559/ftXjP/vsM0yZMgWhoaEICAhAZmYmtmzZ0umY1atXQyKRdHm0trbaWh65qX1nzW20vf3uCmDevXmCdbUQ57GQfXy87xwA4Pa0GPgqPadR3LUMidFgQv9QGE0C3ttVJHY5dB1sDixNTU0YNmwY3nzzzW4dv3PnTkyZMgWbN29GXl4eJk6ciJkzZyI/P7/TcQEBAaisrOz0UKvVtpZHbsqy78fIeO+dcPtLN3AeC9mRtr4V3x43h9+7MjyjDb8tFk5IAgBsyCtFTWObyNVQT9kcs6dPn47p06d3+/jly5d3+vr555/Hpk2b8OWXXyI1NdX6vEQiQUREhK3lkAdobTfiSLkOAAOLRVbfEChkEhTXNKO4ugnxIX5il0RubO2BEhhNAkbFB6G/By9lvpLRiUEYGqPBT2X1+DDnHB6b0l/skqgHnD6HxWQyoaGhAUFBnT+YGhsbERcXh5iYGNxyyy1d7sCQ5zpcXg+90YRQfxVig7x7/opFL5Uc6XHm/0d4l4Wuh8Fowtr95qXMd4/2vrsrgPkP4ofGJwIAPswp5mR2N+X0wPLKK6+gqakJc+bMsT6XnJyM1atX44svvsCaNWugVqsxZswYFBYWXvF92traoNPpOj3IPR3oGA5Kj+sNicTzVy50F+exkD18f6IKWl0rgvyUuGmw997FvmlQBGKDfFDb3I5P80rFLod6wKmBZc2aNXjqqaewbt06hIWFWZ8fPXo07rnnHgwbNgzjxo3D+vXr0b9/f7zxxhtXfK9ly5ZBo9FYH7Gxsc44BXKAvGLzXh9pcb1FrsS1WJY35xTVoLWdfxFSz3y0rwQAcEd6DFRymcjViEcuk+KBsea7LO/vPgujiVtfuBunBZZ169ZhwYIFWL9+PSZPnnzVY6VSKUaOHHnVOyxLly5FfX299VFaysTsjkwmAXkl5sDC+SudDQj3R0SAGq3tJutdKCJblNQ0Y2fHkOLdo+JErkZ8d6THINBXgXM1zdhyVCt2OWQjpwSWNWvW4Le//S0++eQT3Hzzzdc8XhAEFBQUIDIy8orHqFQqBAQEdHqQ+ymqbkRdczt8FDKkRPG/4S9JJBKM7x8CANhxkvNYyHaf7DffXRnfPxR9gn1FrkZ8vko55o82B7d3dxZxg1E3Y3NgaWxsREFBAQoKCgAAZ8+eRUFBAUpKzP9jLF26FPPnz7cev2bNGsyfPx+vvPIKRo8eDa1WC61Wi/r6nzejevrpp7FlyxYUFRWhoKAACxYsQEFBARYuXHidp0eu7kDHcNCwWA0UMvYxvNSE/uahU068JVvpDSZsyO2YbOuFS5mvZH5WPFRyKQ6V1mH/Wd65dCc2f0Lk5uYiNTXVuiR5yZIlSE1Nxd/+9jcAQGVlpTW8AMC7774Lg8GARx55BJGRkdbHokWLrMfU1dXhoYcewsCBAzF16lSUl5dj586dGDVq1PWeH7m43I7AYlkRQ52N7RsCqQQorGpEeV2L2OWQG/nu+HnUNOkR5q/CpOSwa7/AS4T0UuH2tBgA5rss5D5s7sNyww03XPU22urVqzt9vX379mu+5z//+U/885//tLUU8gB55zpWCMVzwu3laHwVSO3TG3nnarHz1AX8ZhT/UqbuWd9xd+XXaTGQ8+5lJw+OS8Sa/SX4/kQVTp1v8MreNO6IP8UkmgsNbSiuaYZEAozgCqErsu7ezHks1E3a+lbrMOId6VxBeamEED9MTQkHALzPdv1ug4GFRGO5uzIg3B8BaoXI1bguS2DZc7oa7UaTyNWQO8g+WAaTAIyKD0ICuyRflqWR3Of5Fahq4L517oCBhUSTy/4r3TIkWoMgPyUa2gzIL6kTuxxycYIgWCfb3pEeI3I1ristLgipfQKhN5rw4d5zYpdD3cDAQqLJPdcx4ZbzV65KKpVgXD/z8uadXC1E13CguBbFNc3wU8owY8iVW0MQ8NA4812Wj/adQ7PeIHI1dC0MLCSKFr0RRyvMS9u5Qujaxvfj7s3UPesOmO+u3DI0Cn4qm9dVeJWpgyLQJ8gXdc3t+DSvTOxy6BoYWEgUh8rq0G4UEB6gQkxvbnh4LeM6GsgdLq9HdWObyNWQq2pobcfmw5UAgDkjORx0LTKpBAvGJgAAVrFdv8tjYCFR5J37uf8KNzy8tjB/NQZ1dALeVci7LHR5X/1UiZZ2IxJD/TCiD4dau+OO9BhofMzt+rcdY7t+V8bAQqLI7dgbhxNuu4/Lm+laLL1X5qTH8g+BbvJVynHPaHN/o/d2nRW5GroaBhZyOpNJsN5h4YaH3WcJLDsLq2HirWu6xOmqBhwsqYNMKsFtqdFil+NW7s2Mh1ImRd65WuvvJnI9DCzkdIVVjdC1GuCrlGFgJDtMdteIuN7opZLjYpMeRyrqr/0C8iobOiaNThwQirAAtcjVuJewADVmDY8CwEZyroyBhZwut6Nh3PDYQLYMt4FCJsWYvsEAOCxEnRlNAj7PLwdgbsVPtnuwo5HcN0e1OFfTJHI1dDn8tCCny7NueMj5K7bi7s10OTlnanBe1waNjwITudFhj/QP98eE/qEQBOBfuzmXxRUxsJDT/dwwjvNXbDW+Y3nzwZJa1De3i1wNuYrPDpqHg24ZGgmVXCZyNe7L0q5/fW4Z6pr1IldDl2JgIaeq0rWi5GIzpBIgtU+g2OW4nZjevkgK9YNJAPacqRa7HHIBzXoDvjlqXo572whOtr0eWUnBGBgZgJZ2Iz7eVyJ2OXQJBhZyKsvdlQERAfDnhoc9YhkWYpt+AoAtR7Vo1hsRF+zL3ivXSSKR4KHx5kZyq/cWo81gFLki+iUGFnKqXM5fuW4TBvzcpl8QuLzZ23120DzZ9lep0ey9Yge3DI1CRIAaFxrasKmgQuxy6BcYWMip8jpWCHHDw57LSAiCSi5FZX0rCqsaxS6HRHRe14o9p81Dg7elcnWQPShkUtw3Jh6AeYkz/yhwHQws5DTNegOOVOgAcMLt9VArZBidyOXNBGwqKIdJMN+x7BPsK3Y5HuPOUX3gp5Th1PlGrshzIQws5DQFpXUwmgREatSIDuSGh9fD2qafv0y9mnU4iJNt7Urjo8Cdoyzt+tlIzlUwsJDTWPqvcP+g62eZx7L/7EU06w0iV0NiOFahwwltA5QyKW4ZEiV2OR7nvjHxkEkl2HO6BkfZWdolMLCQ0+Ry/yC7SQzxQ0xvH+iNJvxYVCN2OSQCS++VSQPDoPHlijt7i+ntixlDIgEA73NTRJfAwEJOYTQJOHiOd1jsRSKRYDx3b/ZaBqMJmw6ZV7DcNoKTbR3lwXHmJc5fHqpAZX2LyNUQAws5xanzDWhoM8BPKUNyBDc8tAfOY/Fee87U4EJDG3r7Kqw/B2R/Q2MCkZEQBINJwOo9xWKX4/UYWMgpLMNBqX16c8NDO8lKCoZcKkFxTTM3a/MyluGgmcOioJTz/ydHenCcuV3/J/tK0NDK7TDExJ90coq8YvZfsTd/tcI6vMaut96jsc2ALdZW/BwOcrQbk8OQGOqHhjYD1h0oFbscr8bAQk5h3fAwjhNu7emXXW/JO3xzRIvWdhMSQ/wwLEYjdjkeTyqV4IGx5rss/95TDIPRJHJF3ouBhRxOW9+KstoWSCXAcG54aFeW+Qt7z9Rw3xMvYRkOum0EW/E7y20johHsp0R5XQs2H9GKXY7XYmAhh8vtaMc/MDIAvVRykavxLCmRAQj1V6FZb7T2uSHPVVHXgpyOZeyzhrNZnLOoFTLMy4wDALy3k+36xcLAQg5n2fCQ/VfsTyKRYHw/Dgt5i88LyiEIwKiEIMQGsRW/M80bHQeVXIrD5fXYd/ai2OV4JQYWcrg89l9xqPH9QwAwsHg6QRCwsaMV/+1sxe90wb1UuD3NPMn5vZ1s1y8GBhZyqKY2A45VWjY8ZGBxhHH9QiGRACe0DdDWt4pdDjnI0QodCqsaoZJLMb2jAys514KxCZBIgO9OVOE0d0p3OgYWcijLhofRgT6I1HDDQ0cI8lNiaEwgAC5v9mTZHZNtp6SEI0DNVvxiSArthUnJ4QCAVbt5l8XZGFjIoXK54aFTsOutZzMYTfjS2oqfw0Fiemi8eYlz9sFyVDe2iVyNd2FgIYeyrBAayeEgh7IEll2FF9gnwgPtKqxGdaMewX5KjOvHVvxiGhnfG8NiNNAbTPgw55zY5XgVBhZyGKNJQH5JHQAgjQ3jHGpYjAYaHwV0rQYcKqsXuxyys8/yzZNtZw6LgoJbW4hKIpHgwY67LB/9eA4tevY/chb+5JPDnNDq0NhmgL9KjgHc8NCh5DIpxvbjaiFP1NDajq3WVvwcDnIFNw2KQExvH1xs0lvnFpHjMbCQw1iWMw/vEwiZlB05HY3zWDzTN0e0aDOYkBjqhyHRbMXvCuQyKe4fkwAAWLX7LEwmNpJzBgYWchg2jHMuS2D5qawOF5v0IldD9rKxYzjotlS24nclc0bGIkAtx9nqJnx7/LzY5XgFBhZymFzLDs1cIeQU4QFqJEf4QxDMk2/J/VXWsxW/q+qlkuOujI52/bu4xNkZGFjIISrqWlBR3wqZVMIND53IOix0koHFE3yeX8FW/C7st1nxUMgkOFBci30dwZIcx+bAsnPnTsycORNRUVGQSCT4/PPPr/maHTt2IC0tDWq1GomJiXjnnXe6HJOdnY2UlBSoVCqkpKRg48aNtpZGLiS3Y/5KSmQAfJXc8NBZJgz4eR6LkePqbk0QBGzMN0/o/FUq7664ogiNGnekxwIA3vj+tMjVeD6bA0tTUxOGDRuGN998s1vHnz17FjNmzMC4ceOQn5+Pv/zlL3j00UeRnZ1tPSYnJwdz587FvHnzcOjQIcybNw9z5szBvn37bC2PXESeZTiI/VecamR8EPxVctQ06XGorE7scug6HKvU4dT5RijlUsxgK36X9bsJSZBLJdh9uhp557gpoiPZHFimT5+O5557Drfddlu3jn/nnXfQp08fLF++HAMHDsQDDzyA+++/Hy+//LL1mOXLl2PKlClYunQpkpOTsXTpUkyaNAnLly+3tTxyEQc6Jtyms/+KUylkUozvuMvy/fEqkauh62HZ6HDywDBofNiK31XFBvni9hHmTRFf/453WRzJ4XNYcnJyMHXq1E7PTZs2Dbm5uWhvb7/qMXv37r3i+7a1tUGn03V6kGtobDPghJYbHopl8sAwAODKBTdmMJqwqaMV/2xOtnV5v5+YBJlUgh2nLqCgtE7scjyWwwOLVqtFeHh4p+fCw8NhMBhQXV191WO0Wu0V33fZsmXQaDTWR2xsrP2Lpx7JL6mFSQBievsgPEAtdjleZ0L/MEg7dm8ur2sRuxzqgb1nanChoQ29fRW4YUCY2OXQNcQF+1mD5RvfFYpcjedyyiqhS3sHCILQ5fnLHXO1ngNLly5FfX299VFaWmrHiul6sP+KuIL8lBjRx3xn6/sTHBZyR5beK7cMjYJSzsWc7uCRiUmQSoDvTlThSDm3x3AEh/+fEBER0eVOSVVVFeRyOYKDg696zKV3XX5JpVIhICCg04Ncg2XDQ+7QLJ4bO4aFvuewkNtpajPgmyPm34ezuTrIbSSG9sKtw6IAAK/zLotDODywZGZmYtu2bZ2e27p1K9LT06FQKK56TFZWlqPLIzszGE3WDQ85f0U8k5LNYX/PmRo06w0iV0O22HJUi5Z2I+KDfTGCPYzcyh9u7AuJBNh67DyOVXBepb3ZHFgaGxtRUFCAgoICAOZlywUFBSgpKQFgHqqZP3++9fiFCxfi3LlzWLJkCY4fP45//etfWLVqFf74xz9aj1m0aBG2bt2KF198ESdOnMCLL76Ib7/9FosXL76+syOnO6FtQLPeCH+1HP3DuOGhWPqH90J0oA/0BhP2nmZDK3diGQ6azVb8bqdvmD9u7liC/s9vT4lcjeexObDk5uYiNTUVqampAIAlS5YgNTUVf/vb3wAAlZWV1vACAAkJCdi8eTO2b9+O4cOH49lnn8Xrr7+O22+/3XpMVlYW1q5di3//+98YOnQoVq9ejXXr1iEjI+N6z4+czNKOPy2uN6Tc8FA0EonEulroO85jcRtVulbsOW1ejMBmce5p8eR+kEqAbcfO42BJrdjleBSbW5DecMMN1kmzl7N69eouz02YMAEHDx686vv++te/xq9//WtbyyEXc+Ccpf8Kh4PEduPAcHyQcw7fnzgPQRjMv9bdwKaCCpgEYESfQMQF+4ldDvVA3zB/3D4iBhvyyvDylpP45MHRYpfkMTj9nOxGEATkdawQSmPDONFlJATBVynDeV0bjnI83S181jEc9KuORmTknhZN7gelTIq9Z2qwu7Ba7HI8BgML2U15XQu0ulbIpRIMjw0Uuxyvp1bIMLZvCADgO3a9dXkntDocr9RBIZPgFrbid2sxvX1xV0YfAMBLW05cdVSCuo+Bhewmr2M4aFC0Bj5KmcjVEABMsixvPsHlza7OMtn2hgFh6O2nFLkaul6PTOwLH4UMh8rqsfUY//+zBwYWspsDlg0POX/FZUzs6JJ6qKweVQ2tIldDV2I0CdiUb27Ffxsn23qEUH8V7h8bDwB4ectJ7p5uBwwsZDe5xZxw62rCAtQYFqMBwGEhV/ZjUQ20ulYEqOWYmMxW/J7iofFJ0PgoUFjViA257MZ+vRhYyC50re04eb4BAJDGhnEuZeqgCADA1qNX3puLxPVpXhkAYOawKKgVHE71FBofBR6d1A8A8PLWU2hsYxPH68HAQnaRX1IHQQDign0R5s8ND13J1JSOrrena9DQ2i5yNXSphtZ2fH2kEgDw6zSuDvI080bHIT7YF9WNbXh7+2mxy3FrDCxkF3nF3D/IVfUN64XEED/ojSbsOHVB7HLoEpsPV6K13YSkUD+urvNASrkUS2cMBAC8t+ssymqbRa7IfTGwkF0csM5fYf8VVyORSDBlkPkuy5ajXK3gaizDQb9Oi2VzPw81NSUcGQlB0BtMeGnLSbHLcVsMLHTd2o0mFJTWAeCGh65qWsc8lh9OVKHNYBS5GrIorm7CgeJaSCVsxe/JJBIJnrwlBRKJuZtxPlv29wgDC12345U6tLQbEaCWo29oL7HLocsYHhOIUH8VGtsMyDnDzRBdRfZB892Vcf1CEaHh3C9PNjhag9s7Ohg//eUxmLjM2WYMLHTdrMuZ44O44aGLkkolmNIx+ZZNrFyDySQg2zocxMm23uBP0wagl0qOgtI6rD3AZc62YmCh65Z7jhNu3YFlWGjbsfP8684F5BTVoKK+Ff5quTVMkmcLC1BjyZT+AIAXvzmBmsY2kStyLwwsdF0EQWDDODeRmRgMf5UcFxrakN8x54jEY5lseyt7r3iV+ZlxGBgZgPqWdrzw9Qmxy3ErDCx0XcpqW1DV0AaFTIJhXJLp0pRyqbWLKpvIiYu9V7yXXCbFc7MHAwA25JVZtzSha2NgoetiGQ4aHK3hX4luYKp1ebOWO8iKiL1XvFtaXG/cOTIWAPDExsNcuddNDCx0XQ5wOMitTOgfCqVMiuKaZhRWNYpdjteyDAfdkc7eK97qzzclI9hPiVPnG/Hm9+yA2x0MLHRd8joCSxobxrkFf7UCY/uFADD/lU/Ox94rBAC9/ZR4tmNoaMX2MzhSXi9yRa6PgYV6rL6lHaeqOjY85B0WtzFjSCQABhaxWO6ujO8fivAA9l7xZjOGROLmIZEwmgT8ccMh6A0msUtyaQws1GMHz9VCEICEED+E+qvELoe6aUpKOBQyCU6db0Rhxw7b5BwGowkb8sz9NzjZlgDg6VmDEOSnxAltA978gUNDV8PAQj1mmd3O+SvuReOjwLh+oQCAr3iXxam2n7yA87o2BPkp2XuFAAAhvVR4ZtYgAMBbP5zGQbbtvyIGFuoxS/+VkfGcv+Jubu4YFvrqJwYWZ1p7oAQAcPuIaKjkXFVHZjcPicTMYVEwmgQ8uiYfutZ2sUtySQws1CNtBiMKyuoAcMNDdzS5Y1iosKoRpzgs5BTa+lZ8f6IKADC3Y0krEWDeHPEfvxqMmN4+KKttwV8+O8y2A5fBwEI9cqS8HnqDCcF+SiSE+IldDtlI46PAeMuwEO+yOMWG3FKYBGBkfG/0DfMXuxxyMQFqBV7/TSpkUgn++1Ml1udyr6FLMbBQj/y84WFv9pFwU5bVQpzH4ngmk4B1HR9Ad47sI3I15KpG9OmN/zfVvNfQk5uO4qeOu9hkxsBCPXKA81fc3uSUcChlUpzmsJDD7T5djbLaFvir5dagSHQ5C8cnYfLAMOgNJjz8nzxUc4NEKwYWspnJJCCvoyV/OgOL29L4KDC+v7mJ3H85LORQlsm2v0qNho+Sk23pyqRSCV6dOxyJoX6orG/F7z8+iHYj+7MADCzUA0XVjahtbodaIcWgqACxy6HrYB0W+qmCk/wcpLqxDduOnQfA4SDqngC1AivnpaOXSo79Zy/iiY2chAswsFAPWIaDhscGQiHjj5A7m5ISDqVcijMXmnC0Qid2OR4pO68M7UYBw2I0SGHAp27qG9YLr905HFIJsD63DP/cdkrskkTHTxuymaVhHOevuD9/tQJTBpobmH2eXy5yNZ5HEASsO2CebDuXd1fIRpMGhuMfvxoCAHj9+9P46MdzIlckLgYWstnPK4QYWDzB7I4N+DYdqoDRxNvO9pRTVIOi6ib4KmW4dXiU2OWQG/rNqD5YNKkfAODJTUese1F5IwYWssl5XStKLjZDKgFG9AkUuxyygwn9QxHoq8CFhjbsPVMtdjkexfIX8ezUaPRSyUWuhtzV4sn9cM/oPhAE4H8/PYR1HZO4vQ0DC9nEcnclOSIA/mqFyNWQPSjlUtwy1Dz5diOHhexGW9+KLUfNk23nZ8aJXA25M4lEgmdnDcb8zDgIAvDn7MP4jxcODzGwkE1+nr/CdvyeZPZw87DQliNatOiNIlfjGT7ZXwKjScCo+CAkR3CyLV0fiUSCp28dhPvGxAMAnvz8CF785gRMXjSMy8BCNsk7x/krnigtrjdievugSW/EtuPnxS7H7ekNJqzZb75tP493V8hOJBIJ/nZLinVOy9vbz+APaw6isc0gcmXOwcBC3dbYZsDRinoA3PDQ00gkEvyqY/ItVwtdvy1HtbjQ0IZQfxWmDYoQuxzyIBKJBI9N6Y9X7hgGhUyCzYe1uPWN3TjmBW0JGFio2wpK6mASgOhAH0RqfMQuh+xsVsew0I5TF1DDduDXxTK/4Dej+kAp569Zsr/b02Kw5sHRiNSoUVTdhNkr9uDt7Wc8uisu/0+ibuP8Fc/WN6wXhsZoYDQJ+PJQhdjluK0TWh32n70ImVSCu0ax9wo5Tnp8EL56dBxuTDbvPfTiNycw843d+LGoxu7fK+9cLZ758pioHXcZWKjbcrl/kMezDAtt8OJeD9frPznmuytTU8IRoVGLXA15uiA/JVbdm45X7hiG3r4KnNA24M6VP2Leqn3YV1RzXQFDEATknKnBvFX7cPvbe/GvPWex49QFO1ZvGzYGoG5pN5qQX1IHgB1uPdns4dFYtvkEjlbocKS8HoOjNWKX5FZ0re3WpeGcbEvOIpFIcHtaDCYmh+Gf205h7YES7Cqsxq7CavQL64U56bGYNDAMCSF+kEgkV30vQRBw8nwDvjtehU/zynC2ugkAIJdKcNuIaCSF9nLGKV1WjwLLihUr8NJLL6GyshKDBg3C8uXLMW7cuMse+9vf/hYffPBBl+dTUlJw9OhRAMDq1atx3333dTmmpaUFajX/QnEFxyt1aNYbEaCWo1+YeD+w5Fi9/ZSYMigcX/1UifW5pQwsNlp/oBTNeiP6hfVCZmKw2OWQlwnyU+LZ2YPx0PhErNh+Gp/nV6CwqhH/2Hwc/9h8HDG9fTAoKgD9w/0R0ksFf7UcJgFobG2HVteGwvMNOFxej6qGn+ew+SllmJ0ajYUTkhAb5Cvi2fUgsKxbtw6LFy/GihUrMGbMGLz77ruYPn06jh07hj59uo7Xvvbaa3jhhResXxsMBgwbNgx33HFHp+MCAgJw8uTJTs8xrLiOA79oxy+VXj2hk3ubmx6Lr36qxOf55fjLjIFQK2Ril+QWDEYT/r2nGACwYGzCNf+SJXKU2CBfLLttKJbOGIhN+eX45qgW+89eRFltC8pqW6wNDa9ErZAiIyEYNw+JxM1DI+HnIl2aba7i1VdfxYIFC/DAAw8AAJYvX44tW7bg7bffxrJly7ocr9FooNH8/Ffa559/jtra2i53VCQSCSIiuPzPVeUWW+avcMKtpxvbNwTRgT4or2vBlqNa6+ohurotR8+jvK4FwX5K6/5MRGIKUCswLzMe8zLj0dhmQEFJHU6eb8DpqkbUNevR0GqAVCqBv0qOID8l+oX3Qv9wfwyPDXTJP1RsCix6vR55eXl4/PHHOz0/depU7N27t1vvsWrVKkyePBlxcZ3HdxsbGxEXFwej0Yjhw4fj2WefRWpq6hXfp62tDW1tP9+20uk8fw26WARB+PkOSxznr3g6qVSCX6fF4LXvCrHuQCkDSze9v7sIAHDP6DiX/GVP3q2XSo6x/UIwtl+I2KX0mE2rhKqrq2E0GhEeHt7p+fDwcGi12mu+vrKyEl9//bX17oxFcnIyVq9ejS+++AJr1qyBWq3GmDFjUFhYeMX3WrZsmfXujUajQWxsrC2nQjYoqm5CdWMblHIphsZwToM3uCM9BhIJsPdMDUpqmsUux+XlnatFfkkdlHIp7hnNybZEjtCjZc2Xjs0KgtCt8drVq1cjMDAQs2fP7vT86NGjcc8992DYsGEYN24c1q9fj/79++ONN9644nstXboU9fX11kdpaWlPToW6Yf9Z83CQq94mJPuL6e2LsX3Nf4ltyOP/W9eyquPuyq+GRyPUXyVyNUSeyabAEhISAplM1uVuSlVVVZe7LpcSBAH/+te/MG/ePCiVyqsXJZVi5MiRV73DolKpEBAQ0OlBjmEJLKMTOBzkTeaONN+1XHugFHqD53bPvF6lF5vxzRHz78QF4xJErobIc9kUWJRKJdLS0rBt27ZOz2/btg1ZWVlXfe2OHTtw+vRpLFiw4JrfRxAEFBQUIDIy0pbyyAEEQcC+jq6JoxK4TNObTE2JQKi/Chca2rDl6LWHfL3Vv/cUwyQA4/uHon+4v9jlEHksm4eElixZgvfffx//+te/cPz4cTz22GMoKSnBwoULAZiHaubPn9/ldatWrUJGRgYGDx7c5d+efvppbNmyBUVFRSgoKMCCBQtQUFBgfU8ST1ltCyrqWyGXSjAiLlDscsiJlHIpftPRWt7SvZU6q23SY+0B867MC8by7gqRI9m8rHnu3LmoqanBM888g8rKSgwePBibN2+2rvqprKxESUlJp9fU19cjOzsbr7322mXfs66uDg899BC0Wi00Gg1SU1Oxc+dOjBo1qgenRPZkGQ4aEqOBr9I11uKT89w1qg/e+uE09hdfxAmtDskRHHr9pdV7i9GsN2JQVADGu/HqCyJ3IBHE3MnIjnQ6HTQaDerr6zmfxY7+9OkhrM8tw8MTErF0+kCxyyER/P7jPGw+rMVdGX3w/K+GiF2Oy2hsM2DMC9+jvqUdb901AjcP5RA2UU909/Obmx/SVf084ZbzV7zVvNHxAICNB8tR39IubjEuZM2+EtS3tCMxxA83DWbTSyJHY2ChKzqva0VxTTOkEiCNHW691ujEIPQP74WWdiOyuYszAKC13Yj3dpmXMi+8IQkybldB5HAMLHRF+zrurqREBSBArRC5GhKLRCLBvMx4AMCHOcUwmjxiFPm6ZB8sQ1VDG6I0asxmJ2Aip2BgoSvaf7ZjOXM8h4O83W2p0QhQy1Fc04xtx66+cZqnazea8M6OMwCAh8YnQinnr1EiZ+D/aXRF+4rMd1hGsWGc1/NTya0t5y1DId7q07wylF5sQUgvJeaO7LpDPRE5BgMLXVZNYxsKqxoBMLCQ2W+z4qGUSZF3rhZ55y6KXY4o2gxGvPGduQP3727oCx8lt6ogchYGFrosy+7M/cN7Icjv6lspkHcIC1DjV6nm+Rrv7vDOuyzrDpSior4V4QEq3J3BuytEzsTAQpe1r2P+SgaXM9MvPDje3M112/HzKLrQKHI1ztXabsSb358GAPxhYl9uBErkZAwsdFmW/iscDqJf6hvmj0nJYRAE77vL8tGP51DV0IboQB/M6dgYkoich4GFutC1tuNYpQ4AkMHAQpf4/cQkAOalvaUXm0Wuxjma2gzWlUH/c2NfqOS8u0LkbAws1EVu8UUIApAQ4oewALXY5ZCLSYsLwti+ITCYBKzYfkbscpzi3Z1FqG7UIy7YF7enxYhdDpFXYmChLiwN40bF8+4KXd6iyf0AAJ/mlaK8rkXkahxLW9+KlTvNwezPNyVDIeOvTSIx8P886sLSfyUjkYGFLm9kfBCykoLRbhSw4ofTYpfjUC9vPYnWdhPS4npjOvcMIhINAwt10thmwOHyegBARiJXCNGVLZpkvsuyPrcUZbWeOZflaEU9sg+a90964uaBkEi4ZxCRWBhYqJMDZy/CaBLQJ8gX0YE+YpdDLiwjMdh6l+XVbafELsfuBEHA85uPQxCAW4ZGYkQfbgBKJCYGFupk75lqAEBWEu+u0LX9+aZkAMDG/HIcq9CJXI19fXu8CntO10Apk1rPk4jEw8BCneQUmRvGZTKwUDcMiw3ELUMjIQjAC9+cELscu2nRG/HUF0cBAPePTUBskK/IFRERAwtZ1TXrcbTjr+RMzl+hbvrfaQOgkEmw89QF7Cq8IHY5dvHmD4Uor2tBdKAPHp3UV+xyiAgMLPQL+86a+68khbL/CnVfXLCfdSfn5zefgNEkiFzR9Tld1YiVO81dfP8+MwW+SrnIFRERwMBCv5BzxjwclJUUInIl5G7+58Z+8FfLcbxSh4/3nRO7nB4TBAFPfn4E7UYBk5LDMCUlXOySiKgDAwtZWQIL56+QrYL8lPjTtAEAgJe2nERVQ6vIFfXMJ/tLkFNUA5VciqduHcRlzEQuhIGFAADVjW04eb4BADCa81eoB+7KiMOQaA0aWg1Yttn9JuCWXmzG818dBwD86aZkTrQlcjEMLAQA+LFjdVByhD+C/JQiV0PuSCaV4LnZgyGRmJc5W5bIuwOTScCfs39Ck96IkfG9cV9WvNglEdElGFgIALCX81fIDobFBuLujD4AgL98dhjNeoPIFXXPR/vOYe+ZGqgVUrz062GQSjkURORqGFgIAPAj56+QnfzvtGREatQormnGC1+7/tDQsQodnusYCvrzTcmID/ETuSIiuhwGFoK2vhVF1U2QSoBRCdzwkK6PxkeBF28fCgD4MOccdhe67tBQY5sBf/jkIPQGEyYOCMW9mfFil0REV8DAQsgpMn+gDI7WQOOjELka8gTj+4fintHmoaE/bjiEi016kSvqShAEPLHxMIqqmxCpUeOVOcM5FETkwhhYCHtPcziI7O8vMwYiMcQPWl0rFq8rgMnFGsp99OM5bCqogEwqwRu/SeVkcyIXx8BCP+8fxOXMZEe+SjlW3DMCaoUUO09dwJs/nBa7JKtdhRfw1JfHAJi3FkiP51AokatjYPFypRebUVbbArlUgpH8pU12lhwRgOdmDwEA/PPbU9h6VCtyRebW+7//+CCMJgG3jYjGw+MTxS6JiLqBgcXLWXplDIsNhJ+Ke6aQ/f06LQZ3ZfSBIACPrs3HodI60Wopr2vB/FX70NBqQHpcbyy7bQi72RK5CQYWL7ezYwXHmL7sv0KO8/StgzC+fyha201Y8EEuSmqanV5DVUMr7n7vR1TUtyIx1A/vzkuDSi5zeh1E1DMMLF7MZBKw97Q5sIzrx8BCjqOQSbHi7hEYGBmA6sY23Lkyx6mhRVvfirvf24fimmZEB/rg4wcyENxL5bTvT0TXj4HFix2t0KG2uR29VHIMjw0UuxzycL1Ucnxw30gkhfqhor4Vd67MQXF1k8O/b9GFRtz+9l4UVjUiPECFTx7MQKTGx+Hfl4jsi4HFi+06fQEAMDoxCAoZfxTI8cIC1Fjz0GhraLnt7b04UHzRYd8v50wN7ngnB+V1LYgP9sWnC7MQF8xOtkTuiJ9SXszSgXQs56+QE4X5q7H2oUwMidbgYpMed733I9buL4Eg2K9PiyAIeHfHGdz9/o+oadJjcHQANizM4g7MRG6MgcVLteiNyC2uBQCM6x8qcjXkbUL9VVj/cCZmDIlAu1HA458dxu8+Ooiaxrbrfu/i6ibc9d4+LPv6BEwCcFtqNDY8nIVQf85ZIXJnXMfqpfYXX4TeaEKURo1EbvZGIvBRyvDmb0bg7agz+Oe2U/jmqBZ7zlRj0aR+uGd0HNQK21bw1DXr8faOM1i9pxhtBhPUCin+enMK7s7ow6XLRB6AgcVL7S40z18Z2y+Ev8xJNFKpBI9M7IsJ/UPxp09/wrFK887J7+w4g7sy4nDrsCj0Det1xdcbTQIKSuvwaV4ZNhWUo1lvBABkJQVj2W1DOF+FyIMwsHipXZb5K/04HETiGxytwZf/Mxaf5pXitW8LUVHfite/K8Tr3xWiT5AvhkRrEB/iC42PAu1GAfUt7Sg834BDZfWdNlZMjvDHn24agIkDwhjEiTxMj+awrFixAgkJCVCr1UhLS8OuXbuueOz27dshkUi6PE6cONHpuOzsbKSkpEClUiElJQUbN27sSWnUDVUNrTihbQAAjOGGh+QiZFIJ5o7sgx1/mog3fpOKCf1DoZBJUHKxGV8drsRbP5zB85tP4KUtJ7FyZxF+OHkBF5v08FfLceuwKKx9aDS+XjQONyaHM6wQeSCb77CsW7cOixcvxooVKzBmzBi8++67mD59Oo4dO4Y+ffpc8XUnT55EQECA9evQ0J//ss/JycHcuXPx7LPP4le/+hU2btyIOXPmYPfu3cjIyLC1RLqGPR3N4gZFBbB5FrkchUyKmcOiMHNYFBpa21FQWoejFTpo61tR39IOuVQCf7UCCaF+GBjhj2GxgVyWT+QFJIKNawkzMjIwYsQIvP3229bnBg4ciNmzZ2PZsmVdjt++fTsmTpyI2tpaBAYGXvY9586dC51Oh6+//tr63E033YTevXtjzZo13apLp9NBo9Ggvr6+UzCirpasL8BnB8vx8IRELJ0+UOxyiIjIi3X389umP0v0ej3y8vIwderUTs9PnToVe/fuveprU1NTERkZiUmTJuGHH37o9G85OTld3nPatGlXfc+2tjbodLpOD7o2QRCs/VfGc/4KERG5CZsCS3V1NYxGI8LDwzs9Hx4eDq328tvGR0ZGYuXKlcjOzsZnn32GAQMGYNKkSdi5c6f1GK1Wa9N7AsCyZcug0Wisj9jYWFtOxWsVVjWiqqENKrkUaXG9xS6HiIioW3q0SujSCW2CIFxxktuAAQMwYMAA69eZmZkoLS3Fyy+/jPHjx/foPQFg6dKlWLJkifVrnU7H0NINO0+ZlzOPSgiyuc8FERGRWGy6wxISEgKZTNblzkdVVVWXOyRXM3r0aBQWFlq/joiIsPk9VSoVAgICOj3o2nZ0BJYJ7G5LRERuxKbAolQqkZaWhm3btnV6ftu2bcjKyur2++Tn5yMyMtL6dWZmZpf33Lp1q03vSdfWrDdgX5F5o7kbBoSJXA0REVH32TwktGTJEsybNw/p6enIzMzEypUrUVJSgoULFwIwD9WUl5fjww8/BAAsX74c8fHxGDRoEPR6PT766CNkZ2cjOzvb+p6LFi3C+PHj8eKLL2LWrFnYtGkTvv32W+zevdtOp0mAeedavdGEmN4+SAplB1AiInIfNgeWuXPnoqamBs888wwqKysxePBgbN68GXFxcQCAyspKlJSUWI/X6/X44x//iPLycvj4+GDQoEH46quvMGPGDOsxWVlZWLt2Lf7617/iySefRFJSEtatW8ceLHb2w8kqAMANA0LZWIuIiNyKzX1YXBX7sFydIAgY938/oKy2Be/PT8fklO7POSIiInIUh/RhIfd15kITympboJRJkdWX7fiJiMi9MLB4ie0dw0EZiUHwVXLPSyIici8MLF6Cy5mJiMidMbB4AS5nJiIid8fA4gW4nJmIiNwdA4sX2H7SPBzE5cxEROSuGFg8nCAI2H6qo/9Kfw4HERGRe2Jg8XCnqxpRerEFSjmXMxMRkftiYPFw246fBwBkJQVzOTMREbktBhYP991x83DQ5IHsbEtERO6LgcWDVTe24WBJLQBg0kDOXyEiIvfFwOLBfjhRBUEABkcHIFLjI3Y5REREPcbA4sG+7Zi/wuEgIiJydwwsHqq13Yidp6oBMLAQEZH7Y2DxUDlFNWhpNyIiQI1BUVferpuIiMgdMLB4qG+PmYeDJg0MY3dbIiJyewwsHkgQhJ+XM6dwOIiIiNwfA4sHOlqhg1bXCl+lDJmJ7G5LRETuj4HFA23rGA4a1y8EaoVM5GqIiIiuHwOLB9pyVAuAq4OIiMhzMLB4mLPVTTihbYBcKsEUzl8hIiIPwcDiYb4+UgkAyEwKRqCvUuRqiIiI7IOBxcN8c8Q8HHTT4AiRKyEiIrIfBhYPUlbbjJ/K6iGRAFNTGFiIiMhzMLB4EMvdlZHxQQj1V4lcDRERkf0wsHgQS2CZzuEgIiLyMAwsHqJK14q8kloAnL9CRESeh4HFQ2w5qoUgAMNjAxGp8RG7HCIiIrtiYPEQX3M4iIiIPBgDiwe42KTHvrMXAQDTB0eKXA0REZH9MbB4gK+PVMJoEpASGYA+wb5il0NERGR3DCwe4IuCCgDArcOjRK6EiIjIMRhY3Jy2vhX7i83DQTOHMbAQEZFnYmBxc//9qQKCAKTH9UZ0IFcHERGRZ2JgcXNfHOJwEBEReT4GFjd2troJP5XVQyaVYMYQrg4iIiLPxcDixr7suLuSlRSMkF7cO4iIiDwXA4ubEgQBmwrKAQC3crItERF5OAYWN3WsUoczF5qglEsxjd1tiYjIwzGwuKnP8813VyYOCEWAWiFyNURERI7Vo8CyYsUKJCQkQK1WIy0tDbt27brisZ999hmmTJmC0NBQBAQEIDMzE1u2bOl0zOrVqyGRSLo8Wltbe1KexzMYTdiYb56/cvuIGJGrISIicjybA8u6deuwePFiPPHEE8jPz8e4ceMwffp0lJSUXPb4nTt3YsqUKdi8eTPy8vIwceJEzJw5E/n5+Z2OCwgIQGVlZaeHWq3u2Vl5uJ2FF1Dd2IZgPyUmJoeJXQ4REZHDyW19wauvvooFCxbggQceAAAsX74cW7Zswdtvv41ly5Z1OX758uWdvn7++eexadMmfPnll0hNTbU+L5FIEBHBuRjd8WleGQBg1vBoKGQc1SMiIs9n06edXq9HXl4epk6d2un5qVOnYu/evd16D5PJhIaGBgQFBXV6vrGxEXFxcYiJicEtt9zS5Q7Mpdra2qDT6To9vEFdsx7fHqsCANyeFi1yNURERM5hU2Cprq6G0WhEeHh4p+fDw8Oh1Wq79R6vvPIKmpqaMGfOHOtzycnJWL16Nb744gusWbMGarUaY8aMQWFh4RXfZ9myZdBoNNZHbGysLafitr48VAG90YSBkQEYFKURuxwiIiKn6NF4gkQi6fS1IAhdnrucNWvW4KmnnsK6desQFvbz3IvRo0fjnnvuwbBhwzBu3DisX78e/fv3xxtvvHHF91q6dCnq6+utj9LS0p6cituxDAf9Oo2TbYmIyHvYNIclJCQEMpmsy92UqqqqLnddLrVu3TosWLAAGzZswOTJk696rFQqxciRI696h0WlUkGl8q7uroXnG3CorB5yqQSzuHcQERF5EZvusCiVSqSlpWHbtm2dnt+2bRuysrKu+Lo1a9bgt7/9LT755BPcfPPN1/w+giCgoKAAkZHcH+eXNnTcXZmYHMZW/ERE5FVsXiW0ZMkSzJs3D+np6cjMzMTKlStRUlKChQsXAjAP1ZSXl+PDDz8EYA4r8+fPx2uvvYbRo0db7874+PhAozHPwXj66acxevRo9OvXDzqdDq+//joKCgrw1ltv2es83V6bwYgNueZhrznp3jFfh4iIyMLmwDJ37lzU1NTgmWeeQWVlJQYPHozNmzcjLi4OAFBZWdmpJ8u7774Lg8GARx55BI888oj1+XvvvRerV68GANTV1eGhhx6CVquFRqNBamoqdu7ciVGjRl3n6XmOb45oUdvcjkiNGhMHhIpdDhERkVNJBEEQxC7CHnQ6HTQaDerr6xEQECB2OXY3550c7C++iMcm98eiyf3ELoeIiMguuvv5za5jbqDwfAP2F1+ETCrB3JEcDiIiIu/DwOIGPt5nHmKbPDAMERpuV0BERN6HgcXFteiNyD5oXh10d0acyNUQERGJg4HFxX35UwUaWg3oE+SLsX1DxC6HiIhIFAwsLkwQBPwn5xwA4M5RsZBKr91NmIiIyBMxsLiwA8W1OFxeD5VcijtH9hG7HCIiItEwsLiwVbuLAAC3jYhGkJ9S5GqIiIjEw8DiokpqmrH12HkAwP1jEkSuhoiISFwMLC5q9d5iCAIwvn8o+oX7i10OERGRqBhYXFBDazvWd+wbtGAs764QERExsLigtftL0dhmQL+wXhjfj0uZiYiIGFhcTGu7ESt3mSfbPjguERIJlzITERExsLiYDXlluNDQhiiNGrNTo8Uuh4iIyCUwsLiQdqMJ7+44AwB4eEISlHL+5yEiIgIYWFzKFwUVKKttQUgvJXdlJiIi+gUGFhdhMglYsf00AGDB2ESoFTKRKyIiInIdDCwu4otDFThzoQkBajnuGc02/ERERL/EwOIC9AYTXt12CoB57oq/WiFyRURERK6FgcUFrMstRcnFZoT0UuG+MfFil0NERORyGFhE1qI34o3vCgEAj07qC1+lXOSKiIiIXA8Di8hW7y1GVUMbYoN8cOdIzl0hIiK6HAYWEVU3tllXBj02uT/7rhAREV0BPyFF9MrWk2hoNWBQVABmDWdXWyIioithYBHJkfJ6rD1g3pH5qVsHQSblnkFERERXwsAiAkEQ8PSXRyEIwK3DojAyPkjskoiIiFwaA4sINuSW4UBxLXwUMiydkSx2OURERC6PgcXJqhpa8dxXxwAAS6b0R6TGR+SKiIiIXB8Di5M99cVR6FoNGBKtYZM4IiKibmJgcaLNhyux+bAWMqkEL9w+BHIZLz8REVF38BPTSSrqWrD0s8MAgIUTEjEoSiNyRURERO6DgcUJjCYBS9YXoL6lHcNiNFg8ub/YJREREbkVBhYnWPHDafxYdBG+ShleuzMVCg4FERER2YSfnA727bHzePXbUwCAp28dhPgQP5ErIiIicj8MLA50uqoBi9cVQBCAeaPjcEd6rNglERERuSUGFgep0rXi/tW5aGwzYFRCEP42M0XskoiIiNwWA4sD1Dbpcc+qfSi52Iw+Qb54++4RnLdCRER0Hfgpamd1zXr89t/7cep8IyIC1Pj4gQwE91KJXRYREZFbk4tdgCeprG/B/FX7UVjViN6+Cnz0wCjEBvmKXRYREZHbY2Cxk9zii3jkk4M4r2tDRIAaHy4Yhb5h/mKXRURE5BF6NCS0YsUKJCQkQK1WIy0tDbt27brq8Tt27EBaWhrUajUSExPxzjvvdDkmOzsbKSkpUKlUSElJwcaNG3tSmtO1G01Ysf007lz5I87r2tAvrBeyf5+F/uEMK0RERPZic2BZt24dFi9ejCeeeAL5+fkYN24cpk+fjpKSkssef/bsWcyYMQPjxo1Dfn4+/vKXv+DRRx9Fdna29ZicnBzMnTsX8+bNw6FDhzBv3jzMmTMH+/bt6/mZOZggCNh7phqz3tyD//vmJAwmAbcMjcTnj4xBdCB3YCYiIrIniSAIgi0vyMjIwIgRI/D2229bnxs4cCBmz56NZcuWdTn+z3/+M7744gscP37c+tzChQtx6NAh5OTkAADmzp0LnU6Hr7/+2nrMTTfdhN69e2PNmjXdqkun00Gj0aC+vh4BAQG2nJJNGlrbseXoeaw7UIIDxbUAAI2PAk/cPBB3pMVAIpE47HsTERF5mu5+fts0h0Wv1yMvLw+PP/54p+enTp2KvXv3XvY1OTk5mDp1aqfnpk2bhlWrVqG9vR0KhQI5OTl47LHHuhyzfPnyK9bS1taGtrY269c6nc6WU+m2f+0+i6LqRtQ2t6PoQhNOnW+A0WTOeEqZFHNHxmLR5H4I4UogIiIih7EpsFRXV8NoNCI8PLzT8+Hh4dBqtZd9jVarvezxBoMB1dXViIyMvOIxV3pPAFi2bBmefvppW8rvkS9/qkB+SV2n5xJD/TB7eDTmpMciQqN2eA1ERETerkerhC4d9hAE4apDIZc7/tLnbX3PpUuXYsmSJdavdTodYmPt3/r+thExGNcvFIE+CkQFqjEsNhCRGs5RISIiciabAktISAhkMlmXOx9VVVVd7pBYREREXPZ4uVyO4ODgqx5zpfcEAJVKBZXK8cMw80bHOfx7EBER0dXZtEpIqVQiLS0N27Zt6/T8tm3bkJWVddnXZGZmdjl+69atSE9Ph0KhuOoxV3pPIiIi8i42DwktWbIE8+bNQ3p6OjIzM7Fy5UqUlJRg4cKFAMxDNeXl5fjwww8BmFcEvfnmm1iyZAkefPBB5OTkYNWqVZ1W/yxatAjjx4/Hiy++iFmzZmHTpk349ttvsXv3bjudJhEREbkzmwPL3LlzUVNTg2eeeQaVlZUYPHgwNm/ejLg489BJZWVlp54sCQkJ2Lx5Mx577DG89dZbiIqKwuuvv47bb7/dekxWVhbWrl2Lv/71r3jyySeRlJSEdevWISMjww6nSERERO7O5j4srspZfViIiIjIfrr7+c3dmomIiMjlMbAQERGRy2NgISIiIpfHwEJEREQuj4GFiIiIXB4DCxEREbk8BhYiIiJyeQwsRERE5PIYWIiIiMjl2dya31VZGvbqdDqRKyEiIqLusnxuX6vxvscEloaGBgBAbGysyJUQERGRrRoaGqDRaK747x6zl5DJZEJFRQX8/f0hkUjs9r46nQ6xsbEoLS3lHkUOxmvtHLzOzsHr7By8zs7jqGstCAIaGhoQFRUFqfTKM1U85g6LVCpFTEyMw94/ICCA/zM4Ca+1c/A6Owevs3PwOjuPI6711e6sWHDSLREREbk8BhYiIiJyeQws16BSqfD3v/8dKpVK7FI8Hq+1c/A6Owevs3PwOjuP2NfaYybdEhERkefiHRYiIiJyeQwsRERE5PIYWIiIiMjlMbAQERGRy/PKwLJixQokJCRArVYjLS0Nu3btuurxO3bsQFpaGtRqNRITE/HOO+90OSY7OxspKSlQqVRISUnBxo0bHVW+27D3dX7vvfcwbtw49O7dG71798bkyZOxf/9+R56CW3DEz7PF2rVrIZFIMHv2bDtX7X4ccZ3r6urwyCOPIDIyEmq1GgMHDsTmzZsddQpuwxHXevny5RgwYAB8fHwQGxuLxx57DK2trY46Bbdgy3WurKzEXXfdhQEDBkAqlWLx4sWXPc6hn4WCl1m7dq2gUCiE9957Tzh27JiwaNEiwc/PTzh37txljy8qKhJ8fX2FRYsWCceOHRPee+89QaFQCJ9++qn1mL179woymUx4/vnnhePHjwvPP/+8IJfLhR9//NFZp+VyHHGd77rrLuGtt94S8vPzhePHjwv33XefoNFohLKyMmedlstxxHW2KC4uFqKjo4Vx48YJs2bNcvCZuDZHXOe2tjYhPT1dmDFjhrB7926huLhY2LVrl1BQUOCs03JJjrjWH330kaBSqYSPP/5YOHv2rLBlyxYhMjJSWLx4sbNOy+XYep3Pnj0rPProo8IHH3wgDB8+XFi0aFGXYxz9Weh1gWXUqFHCwoULOz2XnJwsPP7445c9/k9/+pOQnJzc6bmHH35YGD16tPXrOXPmCDfddFOnY6ZNmybceeeddqra/TjiOl/KYDAI/v7+wgcffHD9BbspR11ng8EgjBkzRnj//feFe++91+sDiyOu89tvvy0kJiYKer3e/gW7MUdc60ceeUS48cYbOx2zZMkSYezYsXaq2v3Yep1/acKECZcNLI7+LPSqISG9Xo+8vDxMnTq10/NTp07F3r17L/uanJycLsdPmzYNubm5aG9vv+oxV3pPT+eo63yp5uZmtLe3IygoyD6FuxlHXudnnnkGoaGhWLBggf0LdzOOus5ffPEFMjMz8cgjjyA8PByDBw/G888/D6PR6JgTcQOOutZjx45FXl6edQi5qKgImzdvxs033+yAs3B9PbnO3eHoz0KP2fywO6qrq2E0GhEeHt7p+fDwcGi12su+RqvVXvZ4g8GA6upqREZGXvGYK72np3PUdb7U448/jujoaEyePNl+xbsRR13nPXv2YNWqVSgoKHBU6W7FUde5qKgI33//Pe6++25s3rwZhYWFeOSRR2AwGPC3v/3NYefjyhx1re+8805cuHABY8eOhSAIMBgM+N3vfofHH3/cYefiynpynbvD0Z+FXhVYLCQSSaevBUHo8ty1jr/0eVvf0xs44jpb/N///R/WrFmD7du3Q61W26Fa92XP69zQ0IB77rkH7733HkJCQuxfrBuz98+zyWRCWFgYVq5cCZlMhrS0NFRUVOCll17y2sBiYe9rvX37dvzjH//AihUrkJGRgdOnT2PRokWIjIzEk08+aefq3YcjPrcc+VnoVYElJCQEMpmsS9qrqqrqkgotIiIiLnu8XC5HcHDwVY+50nt6OkddZ4uXX34Zzz//PL799lsMHTrUvsW7EUdc56NHj6K4uBgzZ860/rvJZAIAyOVynDx5EklJSXY+E9fmqJ/nyMhIKBQKyGQy6zEDBw6EVquFXq+HUqm085m4Pkdd6yeffBLz5s3DAw88AAAYMmQImpqa8NBDD+GJJ56AVOpVsyN6dJ27w9GfhV71X0mpVCItLQ3btm3r9Py2bduQlZV12ddkZmZ2OX7r1q1IT0+HQqG46jFXek9P56jrDAAvvfQSnn32WXzzzTdIT0+3f/FuxBHXOTk5GYcPH0ZBQYH1ceutt2LixIkoKChAbGysw87HVTnq53nMmDE4ffq0NRACwKlTpxAZGemVYQVw3LVubm7uEkpkMhkE88ITO56Be+jJde4Oh38W2mXqrhuxLOVatWqVcOzYMWHx4sWCn5+fUFxcLAiCIDz++OPCvHnzrMdblsw99thjwrFjx4RVq1Z1WTK3Z88eQSaTCS+88IJw/Phx4YUXXuCyZgdc5xdffFFQKpXCp59+KlRWVlofDQ0NTj8/V+GI63wprhJyzHUuKSkRevXqJfzhD38QTp48Kfz3v/8VwsLChOeee87p5+dKHHGt//73vwv+/v7CmjVrhKKiImHr1q1CUlKSMGfOHKefn6uw9ToLgiDk5+cL+fn5QlpamnDXXXcJ+fn5wtGjR63/7ujPQq8LLIIgCG+99ZYQFxcnKJVKYcSIEcKOHTus/3bvvfcKEyZM6HT89u3bhdTUVEGpVArx8fHC22+/3eU9N2zYIAwYMEBQKBRCcnKykJ2d7ejTcHn2vs5xcXECgC6Pv//97044G9fliJ/nX2JgMXPEdd67d6+QkZEhqFQqITExUfjHP/4hGAwGR5+Ky7P3tW5vbxeeeuopISkpSVCr1UJsbKzw+9//XqitrXXC2bguW6/z5X7/xsXFdTrGkZ+Fko4iiIiIiFyWV81hISIiIvfEwEJEREQuj4GFiIiIXB4DCxEREbk8BhYiIiJyeQwsRERE5PIYWIiIiMjlMbAQERGRy2NgISIiIpfHwEJEREQuj4GFiIiIXB4DCxEREbm8/w89kgL/obxakAAAAABJRU5ErkJggg==\n"
      },
      "metadata": {}
@@ -135,7 +135,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -153,14 +153,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:54:52.455444</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m016ee69e13\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m016ee69e13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(49.945227 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073218\" xlink:href=\"#m016ee69e13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(114.940405 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068396\" xlink:href=\"#m016ee69e13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(179.935583 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063574\" xlink:href=\"#m016ee69e13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(244.930761 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058752\" xlink:href=\"#m016ee69e13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(309.925939 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.05393\" xlink:href=\"#m016ee69e13\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(374.921117 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m17865d8c42\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m17865d8c42\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m17865d8c42\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m17865d8c42\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m17865d8c42\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m17865d8c42\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p939a745281)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p939a745281\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:17:28.983779</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"ma0e8338219\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#ma0e8338219\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(49.945227 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073218\" xlink:href=\"#ma0e8338219\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(114.940405 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068396\" xlink:href=\"#ma0e8338219\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(179.935583 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063574\" xlink:href=\"#ma0e8338219\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(244.930761 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058752\" xlink:href=\"#ma0e8338219\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(309.925939 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.05393\" xlink:href=\"#ma0e8338219\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(374.921117 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m2d17ea5862\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2d17ea5862\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2d17ea5862\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2d17ea5862\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2d17ea5862\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2d17ea5862\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pdc6ab85755)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pdc6ab85755\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjgAAAGdCAYAAAAfTAk2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAgLElEQVR4nO3de3CU1eH/8c+SywaUrEhkk2iEQB0ug04lGWOiKdrBcFGRlo4gNbWOoqlYSDKOgGhhsCaCjmWccKkxTnVqgVGKZTppShwLgyaAMAlaSGkt4VLJiqGQTcXmxvn9wY/9uu4mJDRPyB7er5n9I0/O8+Sc8+Xbfc+zF13GGCMAAACLDLjUEwAAAOhtBA4AALAOgQMAAKxD4AAAAOsQOAAAwDoEDgAAsA6BAwAArEPgAAAA60Rf6glcCmfPntXx48c1ePBguVyuSz0dAADQDcYYNTc3Kzk5WQMGdH2P5rIMnOPHjyslJeVSTwMAAFyEY8eO6brrrutyzGUZOIMHD5Z0boPi4+Mv8WwAAEB3+P1+paSkBJ7Hu3JZBs75l6Xi4+MJHAAAIkx33l7Cm4wBAIB1CBwAAGAdAgcAAFiHwAEAANYhcAAAgHUIHAAAYB0CBwAAWIfAAQAA1iFwAACAdQgcAABgHQIHAABYh8ABAADWIXAAAIB1CBwAAGAdAgcAAFiHwAEAANYhcAAAgHUIHAAAYB0CBwAAWIfAAQAA1iFwAACAdQgcAABgHQIHAABYh8ABAADWIXAAAIB1CBwAAGAdAgcAAFiHwAEAANYhcAAAgHUIHAAAYB0CBwAAWIfAAQAA1iFwAACAdQgcAABgHQIHAABYh8ABAADWIXAAAIB1CBwAAGAdAgcAAFiHwAEAANYhcAAAgHUIHAAAYB0CBwAAWKdPAmfNmjVKTU1VXFyc0tLStGPHji7Hb9++XWlpaYqLi9PIkSO1bt26Tsdu2LBBLpdLM2bM6OVZAwCASOV44GzcuFH5+flasmSJampqlJ2dralTp+ro0aNhx9fX12vatGnKzs5WTU2NnnnmGc2fP1+bNm0KGXvkyBE99dRTys7OdnoZAAAggriMMcbJP5CRkaEJEyZo7dq1gWNjx47VjBkzVFxcHDJ+4cKF2rJli+rq6gLH8vLytG/fPlVXVweOdXR0aOLEiXr44Ye1Y8cOnT59Wu+991635uT3++XxeNTU1KT4+PiLXxwAAOgzPXn+dvQOTmtrq/bu3aucnJyg4zk5Oaqqqgp7TnV1dcj4yZMna8+ePWprawscW758ua655ho98sgjF5xHS0uL/H5/0AMAANjL0cBpbGxUR0eHvF5v0HGv1yufzxf2HJ/PF3Z8e3u7GhsbJUkfffSRysrKVFpa2q15FBcXy+PxBB4pKSkXsRoAABAp+uRNxi6XK+hnY0zIsQuNP3+8ublZDz74oEpLS5WQkNCtv7948WI1NTUFHseOHevhCgAAQCSJdvLiCQkJioqKCrlbc+LEiZC7NOclJiaGHR8dHa2hQ4dq//79Onz4sO69997A78+ePStJio6O1sGDBzVq1Kig891ut9xud28sCQAARABH7+DExsYqLS1NlZWVQccrKyuVlZUV9pzMzMyQ8Vu3blV6erpiYmI0ZswYffrpp6qtrQ08pk+frjvvvFO1tbW8/AQAAJy9gyNJhYWFys3NVXp6ujIzM/Xaa6/p6NGjysvLk3Tu5aPPP/9cb731lqRzn5gqKSlRYWGh5s6dq+rqapWVlWn9+vWSpLi4OI0fPz7ob1x11VWSFHIcAABcnhwPnFmzZunkyZNavny5GhoaNH78eJWXl2v48OGSpIaGhqDvxElNTVV5ebkKCgq0evVqJScn69VXX9XMmTOdnioAALCE49+D0x/xPTgAAESefvM9OAAAAJcCgQMAAKxD4AAAAOsQOAAAwDoEDgAAsA6BAwAArEPgAAAA6xA4AADAOgQOAACwDoEDAACsQ+AAAADrEDgAAMA6BA4AALAOgQMAAKxD4AAAAOsQOAAAwDoEDgAAsA6BAwAArEPgAAAA6xA4AADAOgQOAACwDoEDAACsQ+AAAADrEDgAAMA6BA4AALAOgQMAAKxD4AAAAOsQOAAAwDoEDgAAsA6BAwAArEPgAAAA6xA4AADAOgQOAACwDoEDAACsQ+AAAADrEDgAAMA6BA4AALAOgQMAAKxD4AAAAOsQOAAAwDoEDgAAsA6BAwAArEPgAAAA6xA4AADAOgQOAACwDoEDAACsQ+AAAADrEDgAAMA6BA4AALAOgQMAAKxD4AAAAOsQOAAAwDoEDgAAsA6BAwAArEPgAAAA6xA4AADAOn0SOGvWrFFqaqri4uKUlpamHTt2dDl++/btSktLU1xcnEaOHKl169YF/b60tFTZ2dkaMmSIhgwZokmTJmn37t1OLgEAAEQQxwNn48aNys/P15IlS1RTU6Ps7GxNnTpVR48eDTu+vr5e06ZNU3Z2tmpqavTMM89o/vz52rRpU2DMtm3b9MADD+gvf/mLqqurdf311ysnJ0eff/6508sBAAARwGWMMU7+gYyMDE2YMEFr164NHBs7dqxmzJih4uLikPELFy7Uli1bVFdXFziWl5enffv2qbq6Ouzf6Ojo0JAhQ1RSUqKf/OQnF5yT3++Xx+NRU1OT4uPjL2JVAACgr/Xk+dvROzitra3au3evcnJygo7n5OSoqqoq7DnV1dUh4ydPnqw9e/aora0t7DlnzpxRW1ubrr766rC/b2lpkd/vD3oAAAB7ORo4jY2N6ujokNfrDTru9Xrl8/nCnuPz+cKOb29vV2NjY9hzFi1apGuvvVaTJk0K+/vi4mJ5PJ7AIyUl5SJWAwAAIkWfvMnY5XIF/WyMCTl2ofHhjkvSypUrtX79ev3+979XXFxc2OstXrxYTU1NgcexY8d6ugQAABBBop28eEJCgqKiokLu1pw4cSLkLs15iYmJYcdHR0dr6NChQcdffvllFRUV6f3339dNN93U6TzcbrfcbvdFrgIAAEQaR+/gxMbGKi0tTZWVlUHHKysrlZWVFfaczMzMkPFbt25Venq6YmJiAsdeeuklPf/886qoqFB6enrvTx4AAEQsx1+iKiws1Ouvv6433nhDdXV1Kigo0NGjR5WXlyfp3MtH3/zkU15eno4cOaLCwkLV1dXpjTfeUFlZmZ566qnAmJUrV+rZZ5/VG2+8oREjRsjn88nn8+k///mP08sBAAARwNGXqCRp1qxZOnnypJYvX66GhgaNHz9e5eXlGj58uCSpoaEh6DtxUlNTVV5eroKCAq1evVrJycl69dVXNXPmzMCYNWvWqLW1VT/60Y+C/tbSpUu1bNkyp5cEAAD6Oce/B6c/4ntwAACIPP3me3AAAAAuBQIHAABYh8ABAADWIXAAAIB1CBwAAGAdAgcAAFiHwAEAANYhcAAAgHUIHAAAYB0CBwAAWIfAAQAA1iFwAACAdQgcAABgHQIHAABYh8ABAADWIXAAAIB1CBwAAGAdAgcAAFiHwAEAANYhcAAAgHUIHAAAYB0CBwAAWIfAAQAA1iFwAACAdQgcAABgHQIHAABYh8ABAADWIXAAAIB1CBwAAGAdAgcAAFiHwAEAANYhcAAAgHUIHAAAYB0CBwAAWIfAAQAA1iFwAACAdQgcAABgHQIHAABYh8ABAADWIXAAAIB1CBwAAGAdAgcAAFiHwAEAANYhcAAAgHUIHAAAYB0CBwAAWIfAAQAA1iFwAACAdQgcAABgHQIHAABYh8ABAADWIXAAAIB1CBwAAGAdAgcAAFiHwAEAANYhcAAAgHX6JHDWrFmj1NRUxcXFKS0tTTt27Ohy/Pbt25WWlqa4uDiNHDlS69atCxmzadMmjRs3Tm63W+PGjdPmzZudmj4AAIgwjgfOxo0blZ+fryVLlqimpkbZ2dmaOnWqjh49GnZ8fX29pk2bpuzsbNXU1OiZZ57R/PnztWnTpsCY6upqzZo1S7m5udq3b59yc3N1//33a9euXU4vBwAARACXMcY4+QcyMjI0YcIErV27NnBs7NixmjFjhoqLi0PGL1y4UFu2bFFdXV3gWF5envbt26fq6mpJ0qxZs+T3+/WnP/0pMGbKlCkaMmSI1q9ff8E5+f1+eTweNTU1KT4+/n9ZXhBjjL5u6+i16wEAEMkGxkTJ5XL12vV68vwd3Wt/NYzW1lbt3btXixYtCjqek5OjqqqqsOdUV1crJycn6NjkyZNVVlamtrY2xcTEqLq6WgUFBSFjVq1aFfaaLS0tamlpCfzs9/svYjUX9nVbh8b94s+OXBsAgEhzYPlkDYp1NDU65ehLVI2Njero6JDX6w067vV65fP5wp7j8/nCjm9vb1djY2OXYzq7ZnFxsTweT+CRkpJysUsCAAARoE+y6tu3p4wxXd6yCjf+28d7cs3FixersLAw8LPf73ckcgbGROnA8sm9fl0AACLRwJioS/a3HQ2chIQERUVFhdxZOXHiRMgdmPMSExPDjo+OjtbQoUO7HNPZNd1ut9xu98Uuo9tcLtcluxUHAAD+j6MvUcXGxiotLU2VlZVBxysrK5WVlRX2nMzMzJDxW7duVXp6umJiYroc09k1AQDA5cXx2w2FhYXKzc1Venq6MjMz9dprr+no0aPKy8uTdO7lo88//1xvvfWWpHOfmCopKVFhYaHmzp2r6upqlZWVBX06asGCBfre976nFStW6L777tMf/vAHvf/++/rwww+dXg4AAIgAjgfOrFmzdPLkSS1fvlwNDQ0aP368ysvLNXz4cElSQ0ND0HfipKamqry8XAUFBVq9erWSk5P16quvaubMmYExWVlZ2rBhg5599lk999xzGjVqlDZu3KiMjAynlwMAACKA49+D0x859T04AADAOT15/ua/RQUAAKxD4AAAAOsQOAAAwDoEDgAAsA6BAwAArEPgAAAA6xA4AADAOgQOAACwDoEDAACsQ+AAAADrEDgAAMA6BA4AALAOgQMAAKxD4AAAAOsQOAAAwDoEDgAAsA6BAwAArEPgAAAA6xA4AADAOgQOAACwDoEDAACsQ+AAAADrEDgAAMA6BA4AALAOgQMAAKxD4AAAAOsQOAAAwDoEDgAAsA6BAwAArEPgAAAA6xA4AADAOgQOAACwDoEDAACsQ+AAAADrEDgAAMA6BA4AALAOgQMAAKxD4AAAAOsQOAAAwDoEDgAAsA6BAwAArEPgAAAA6xA4AADAOgQOAACwDoEDAACsQ+AAAADrEDgAAMA6BA4AALAOgQMAAKxD4AAAAOsQOAAAwDoEDgAAsA6BAwAArEPgAAAA6xA4AADAOgQOAACwjqOBc+rUKeXm5srj8cjj8Sg3N1enT5/u8hxjjJYtW6bk5GQNHDhQd9xxh/bv3x/4/b///W/9/Oc/1+jRozVo0CBdf/31mj9/vpqampxcCgAAiCCOBs6cOXNUW1uriooKVVRUqLa2Vrm5uV2es3LlSr3yyisqKSnRxx9/rMTERN11111qbm6WJB0/flzHjx/Xyy+/rE8//VS/+c1vVFFRoUceecTJpQAAgAjiMsYYJy5cV1encePGaefOncrIyJAk7dy5U5mZmfrb3/6m0aNHh5xjjFFycrLy8/O1cOFCSVJLS4u8Xq9WrFihxx9/POzfeuedd/Tggw/qq6++UnR09AXn5vf75fF41NTUpPj4+P9hlQAAoK/05PnbsTs41dXV8ng8gbiRpFtvvVUej0dVVVVhz6mvr5fP51NOTk7gmNvt1sSJEzs9R1Jgod2JGwAAYD/HisDn82nYsGEhx4cNGyafz9fpOZLk9XqDjnu9Xh05ciTsOSdPntTzzz/f6d0d6dxdoJaWlsDPfr//gvMHAACRq8d3cJYtWyaXy9XlY8+ePZIkl8sVcr4xJuzxb/r27zs7x+/36+6779a4ceO0dOnSTq9XXFwceKOzx+NRSkpKd5YKAAAiVI/v4Dz55JOaPXt2l2NGjBihTz75RF988UXI77788suQOzTnJSYmSjp3JycpKSlw/MSJEyHnNDc3a8qUKbryyiu1efNmxcTEdDqfxYsXq7CwMPCz3+8ncgAAsFiPAychIUEJCQkXHJeZmammpibt3r1bt9xyiyRp165dampqUlZWVthzUlNTlZiYqMrKSt18882SpNbWVm3fvl0rVqwIjPP7/Zo8ebLcbre2bNmiuLi4Lufidrvldru7u0QAABDhHHuT8dixYzVlyhTNnTtXO3fu1M6dOzV37lzdc889QZ+gGjNmjDZv3izp3EtT+fn5Kioq0ubNm/XXv/5VP/3pTzVo0CDNmTNH0rk7Nzk5Ofrqq69UVlYmv98vn88nn8+njo4Op5YDAAAiiKMfO3r77bc1f/78wKeipk+frpKSkqAxBw8eDPqSvqefflpff/21nnjiCZ06dUoZGRnaunWrBg8eLEnau3evdu3aJUn6zne+E3St+vp6jRgxwsEVAQCASODY9+D0Z3wPDgAAkadffA8OAADApULgAAAA6xA4AADAOgQOAACwDoEDAACsQ+AAAADrEDgAAMA6BA4AALAOgQMAAKxD4AAAAOsQOAAAwDoEDgAAsA6BAwAArEPgAAAA6xA4AADAOgQOAACwDoEDAACsQ+AAAADrEDgAAMA6BA4AALAOgQMAAKxD4AAAAOsQOAAAwDoEDgAAsA6BAwAArEPgAAAA6xA4AADAOgQOAACwDoEDAACsQ+AAAADrEDgAAMA6BA4AALAOgQMAAKxD4AAAAOsQOAAAwDoEDgAAsA6BAwAArEPgAAAA6xA4AADAOgQOAACwDoEDAACsQ+AAAADrEDgAAMA6BA4AALAOgQMAAKxD4AAAAOsQOAAAwDoEDgAAsA6BAwAArEPgAAAA6xA4AADAOgQOAACwDoEDAACsQ+AAAADrEDgAAMA6BA4AALAOgQMAAKzjaOCcOnVKubm58ng88ng8ys3N1enTp7s8xxijZcuWKTk5WQMHDtQdd9yh/fv3dzp26tSpcrlceu+993p/AQAAICI5Gjhz5sxRbW2tKioqVFFRodraWuXm5nZ5zsqVK/XKK6+opKREH3/8sRITE3XXXXepubk5ZOyqVavkcrmcmj4AAIhQ0U5duK6uThUVFdq5c6cyMjIkSaWlpcrMzNTBgwc1evTokHOMMVq1apWWLFmiH/7wh5KkN998U16vV7/73e/0+OOPB8bu27dPr7zyij7++GMlJSU5tQwAABCBHLuDU11dLY/HE4gbSbr11lvl8XhUVVUV9pz6+nr5fD7l5OQEjrndbk2cODHonDNnzuiBBx5QSUmJEhMTLziXlpYW+f3+oAcAALCXY4Hj8/k0bNiwkOPDhg2Tz+fr9BxJ8nq9Qce9Xm/QOQUFBcrKytJ9993XrbkUFxcH3gfk8XiUkpLS3WUAAIAI1OPAWbZsmVwuV5ePPXv2SFLY98cYYy74vplv//6b52zZskUffPCBVq1a1e05L168WE1NTYHHsWPHun0uAACIPD1+D86TTz6p2bNndzlmxIgR+uSTT/TFF1+E/O7LL78MuUNz3vmXm3w+X9D7ak6cOBE454MPPtA///lPXXXVVUHnzpw5U9nZ2dq2bVvIdd1ut9xud5dzBgAA9uhx4CQkJCghIeGC4zIzM9XU1KTdu3frlltukSTt2rVLTU1NysrKCntOamqqEhMTVVlZqZtvvlmS1Nraqu3bt2vFihWSpEWLFunRRx8NOu/GG2/Ur371K9177709XQ4AALCQY5+iGjt2rKZMmaK5c+fq17/+tSTpscce0z333BP0CaoxY8aouLhYP/jBD+RyuZSfn6+ioiLdcMMNuuGGG1RUVKRBgwZpzpw5ks7d5Qn3xuLrr79eqampTi0HAABEEMcCR5LefvttzZ8/P/CpqOnTp6ukpCRozMGDB9XU1BT4+emnn9bXX3+tJ554QqdOnVJGRoa2bt2qwYMHOzlVAABgEZcxxlzqSfQ1v98vj8ejpqYmxcfHX+rpAACAbujJ8zf/LSoAAGAdAgcAAFiHwAEAANYhcAAAgHUIHAAAYB0CBwAAWIfAAQAA1iFwAACAdQgcAABgHQIHAABYh8ABAADWIXAAAIB1CBwAAGAdAgcAAFiHwAEAANYhcAAAgHUIHAAAYB0CBwAAWIfAAQAA1iFwAACAdQgcAABgHQIHAABYh8ABAADWIXAAAIB1CBwAAGAdAgcAAFiHwAEAANYhcAAAgHUIHAAAYB0CBwAAWIfAAQAA1iFwAACAdQgcAABgHQIHAABYh8ABAADWIXAAAIB1CBwAAGAdAgcAAFiHwAEAANYhcAAAgHUIHAAAYB0CBwAAWCf6Uk/gUjDGSJL8fv8lngkAAOiu88/b55/Hu3JZBk5zc7MkKSUl5RLPBAAA9FRzc7M8Hk+XY1ymOxlkmbNnz+r48eMaPHiwXC5Xr17b7/crJSVFx44dU3x8fK9eG/+Hfe4b7HPfYa/7BvvcN5zaZ2OMmpublZycrAEDun6XzWV5B2fAgAG67rrrHP0b8fHx/D9PH2Cf+wb73HfY677BPvcNJ/b5QnduzuNNxgAAwDoEDgAAsA6B08vcbreWLl0qt9t9qadiNfa5b7DPfYe97hvsc9/oD/t8Wb7JGAAA2I07OAAAwDoEDgAAsA6BAwAArEPgAAAA6xA4F7BmzRqlpqYqLi5OaWlp2rFjR5fjt2/frrS0NMXFxWnkyJFat25dyJhNmzZp3LhxcrvdGjdunDZv3uzU9CNKb+91aWmpsrOzNWTIEA0ZMkSTJk3S7t27nVxCRHDi3/R5GzZskMvl0owZM3p51pHHiX0+ffq05s2bp6SkJMXFxWns2LEqLy93agkRwYl9XrVqlUaPHq2BAwcqJSVFBQUF+u9//+vUEiJGT/a6oaFBc+bM0ejRozVgwADl5+eHHefo86FBpzZs2GBiYmJMaWmpOXDggFmwYIG54oorzJEjR8KOP3TokBk0aJBZsGCBOXDggCktLTUxMTHm3XffDYypqqoyUVFRpqioyNTV1ZmioiITHR1tdu7c2VfL6pec2Os5c+aY1atXm5qaGlNXV2cefvhh4/F4zL/+9a++Wla/48Q+n3f48GFz7bXXmuzsbHPfffc5vJL+zYl9bmlpMenp6WbatGnmww8/NIcPHzY7duwwtbW1fbWsfseJff7tb39r3G63efvtt019fb3585//bJKSkkx+fn5fLatf6ule19fXm/nz55s333zTfPe73zULFiwIGeP08yGB04VbbrnF5OXlBR0bM2aMWbRoUdjxTz/9tBkzZkzQsccff9zceuutgZ/vv/9+M2XKlKAxkydPNrNnz+6lWUcmJ/b629rb283gwYPNm2+++b9POEI5tc/t7e3mtttuM6+//rp56KGHLvvAcWKf165da0aOHGlaW1t7f8IRyol9njdvnvn+978fNKawsNDcfvvtvTTryNTTvf6miRMnhg0cp58PeYmqE62trdq7d69ycnKCjufk5KiqqirsOdXV1SHjJ0+erD179qitra3LMZ1d83Lg1F5/25kzZ9TW1qarr766dyYeYZzc5+XLl+uaa67RI4880vsTjzBO7fOWLVuUmZmpefPmyev1avz48SoqKlJHR4czC+nnnNrn22+/XXv37g28nH3o0CGVl5fr7rvvdmAVkeFi9ro7nH4+vCz/Y5vd0djYqI6ODnm93qDjXq9XPp8v7Dk+ny/s+Pb2djU2NiopKanTMZ1d83Lg1F5/26JFi3Tttddq0qRJvTf5COLUPn/00UcqKytTbW2tU1OPKE7t86FDh/TBBx/oxz/+scrLy/WPf/xD8+bNU3t7u37xi184tp7+yql9nj17tr788kvdfvvtMsaovb1dP/vZz7Ro0SLH1tLfXcxed4fTz4cEzgW4XK6gn40xIccuNP7bx3t6zcuFE3t93sqVK7V+/Xpt27ZNcXFxvTDbyNWb+9zc3KwHH3xQpaWlSkhI6P3JRrDe/vd89uxZDRs2TK+99pqioqKUlpam48eP66WXXrosA+e83t7nbdu26YUXXtCaNWuUkZGhzz77TAsWLFBSUpKee+65Xp59ZHHiucvJ50MCpxMJCQmKiooKKckTJ06EFOd5iYmJYcdHR0dr6NChXY7p7JqXA6f2+ryXX35ZRUVFev/993XTTTf17uQjiBP7vH//fh0+fFj33ntv4Pdnz56VJEVHR+vgwYMaNWpUL6+kf3Pq33NSUpJiYmIUFRUVGDN27Fj5fD61trYqNja2l1fSvzm1z88995xyc3P16KOPSpJuvPFGffXVV3rssce0ZMkSDRhw+b2z42L2ujucfj68/P4v1U2xsbFKS0tTZWVl0PHKykplZWWFPSczMzNk/NatW5Wenq6YmJgux3R2zcuBU3stSS+99JKef/55VVRUKD09vfcnH0Gc2OcxY8bo008/VW1tbeAxffp03XnnnaqtrVVKSopj6+mvnPr3fNttt+mzzz4LBKQk/f3vf1dSUtJlFzeSc/t85syZkIiJioqSOfehnF5cQeS4mL3uDsefD3vlrcqWOv+xuLKyMnPgwAGTn59vrrjiCnP48GFjjDGLFi0yubm5gfHnP4JYUFBgDhw4YMrKykI+gvjRRx+ZqKgo8+KLL5q6ujrz4osv8jFx48xer1ixwsTGxpp3333XNDQ0BB7Nzc19vr7+wol9/jY+ReXMPh89etRceeWV5sknnzQHDx40f/zjH82wYcPML3/5yz5fX3/hxD4vXbrUDB482Kxfv94cOnTIbN261YwaNcrcf//9fb6+/qSne22MMTU1NaampsakpaWZOXPmmJqaGrN///7A751+PiRwLmD16tVm+PDhJjY21kyYMMFs37498LuHHnrITJw4MWj8tm3bzM0332xiY2PNiBEjzNq1a0Ou+c4775jRo0ebmJgYM2bMGLNp0yanlxERenuvhw8fbiSFPJYuXdoHq+m/nPg3/U0EzjlO7HNVVZXJyMgwbrfbjBw50rzwwgumvb3d6aX0a729z21tbWbZsmVm1KhRJi4uzqSkpJgnnnjCnDp1qg9W07/1dK/D/e/v8OHDg8Y4+Xzo+v+TAAAAsAbvwQEAANYhcAAAgHUIHAAAYB0CBwAAWIfAAQAA1iFwAACAdQgcAABgHQIHAABYh8ABAADWIXAAAIB1CBwAAGAdAgcAAFjn/wGT1IyBXStaVAAAAABJRU5ErkJggg==\n"
      },
      "metadata": {}
@@ -178,9 +178,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {
-    "tags": []
+    "tags": [
+     "outputPrepend"
+    ]
    },
    "outputs": [
     {
@@ -578,7 +580,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -598,7 +600,7 @@
       ]
      },
      "metadata": {},
-     "execution_count": 11
+     "execution_count": 10
     }
    ],
    "source": [
@@ -617,7 +619,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -634,7 +636,7 @@
       ]
      },
      "metadata": {},
-     "execution_count": 14
+     "execution_count": 11
     }
    ],
    "source": [
@@ -644,14 +646,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T16:08:44.192500</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m5af7b3266c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m5af7b3266c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.0 -->\n      <g transform=\"translate(38.38429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.269776\" xlink:href=\"#m5af7b3266c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.2 -->\n      <g transform=\"translate(103.318214 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.2037\" xlink:href=\"#m5af7b3266c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.4 -->\n      <g transform=\"translate(168.252138 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.137625\" xlink:href=\"#m5af7b3266c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.6 -->\n      <g transform=\"translate(233.186062 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.071549\" xlink:href=\"#m5af7b3266c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.8 -->\n      <g transform=\"translate(298.119986 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.005473\" xlink:href=\"#m5af7b3266c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1.0 -->\n      <g transform=\"translate(363.05391 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m8ae5715d4e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"229.972033\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 233.771252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"198.728066\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 202.527285)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"167.484099\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 171.283318)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"136.240132\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 140.039351)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"104.996165\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 108.795384)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"73.752198\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.2 -->\n      <g transform=\"translate(7.2 77.551417)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"42.508231\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 1.4 -->\n      <g transform=\"translate(7.2 46.30745)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m8ae5715d4e\" y=\"11.264264\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 1.6 -->\n      <g transform=\"translate(7.2 15.063483)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p3943b3fbd4)\" d=\"M 46.335852 261.216 \nL 46.46572 261.13977 \nL 46.660522 260.646852 \nL 46.952724 259.068309 \nL 47.342328 255.432328 \nL 47.829332 248.506576 \nL 48.446204 236.113015 \nL 49.192942 216.06193 \nL 50.102016 185.011489 \nL 51.303291 135.476118 \nL 53.381173 49.137785 \nL 54.062979 30.198378 \nL 54.549982 22.134756 \nL 54.874651 19.644862 \nL 55.069453 19.29803 \nL 55.166853 19.447031 \nL 55.329188 20.167326 \nL 55.588923 22.515612 \nL 55.946059 28.003731 \nL 56.46553 40.037298 \nL 57.212282 63.401254 \nL 59.972021 155.154685 \nL 60.751241 171.796841 \nL 61.368124 180.721174 \nL 61.855137 185.048837 \nL 62.244747 186.792765 \nL 62.472019 187.114391 \nL 62.634357 187.034783 \nL 62.829162 186.603511 \nL 63.12137 185.281795 \nL 63.51098 182.294778 \nL 63.997992 176.681691 \nL 64.614875 166.797471 \nL 65.394095 150.460124 \nL 66.497991 122.001235 \nL 68.575911 67.637022 \nL 69.290197 54.929866 \nL 69.809677 49.241514 \nL 70.16682 47.297698 \nL 70.394092 46.924328 \nL 70.523962 47.012433 \nL 70.718767 47.550261 \nL 71.010975 49.24414 \nL 71.400585 53.055717 \nL 71.920065 60.546687 \nL 72.666818 74.895485 \nL 75.621362 135.445754 \nL 76.335647 144.232166 \nL 76.887594 148.594542 \nL 77.309672 150.453112 \nL 77.60188 150.988892 \nL 77.796685 151.008297 \nL 77.99149 150.761237 \nL 78.25123 150.024805 \nL 78.608373 148.274964 \nL 79.095385 144.584873 \nL 79.712268 137.95333 \nL 80.523956 126.484231 \nL 81.822656 104.318815 \nL 83.283694 80.440403 \nL 84.030447 71.608141 \nL 84.582395 67.405857 \nL 84.972005 65.797661 \nL 85.264212 65.359279 \nL 85.42655 65.400585 \nL 85.621355 65.715125 \nL 85.913563 66.714539 \nL 86.303173 68.97716 \nL 86.822653 73.461097 \nL 87.536936 81.754636 \nL 88.965506 101.701428 \nL 90.166804 117.035329 \nL 90.946025 124.440261 \nL 91.562907 128.416957 \nL 92.04992 130.272334 \nL 92.407063 130.895855 \nL 92.634335 130.969052 \nL 92.861608 130.794034 \nL 93.153815 130.212089 \nL 93.543426 128.834752 \nL 94.030438 126.210251 \nL 94.679788 121.339546 \nL 95.556411 112.863893 \nL 98.413552 83.709068 \nL 99.062903 79.841678 \nL 99.549915 78.143628 \nL 99.907058 77.59822 \nL 100.13433 77.562818 \nL 100.361603 77.766887 \nL 100.653811 78.371553 \nL 101.043421 79.745193 \nL 101.562901 82.480909 \nL 102.277186 87.585229 \nL 103.510952 98.352573 \nL 104.907055 109.957694 \nL 105.718742 114.963536 \nL 106.335625 117.525808 \nL 106.822638 118.706935 \nL 107.17978 119.086832 \nL 107.439521 119.105231 \nL 107.731728 118.870881 \nL 108.088871 118.229231 \nL 108.543416 116.879586 \nL 109.127831 114.3582 \nL 109.907051 109.891602 \nL 111.270687 100.461053 \nL 112.601855 91.82327 \nL 113.348608 88.274554 \nL 113.933023 86.45918 \nL 114.387568 85.705475 \nL 114.712243 85.532283 \nL 115.004451 85.635435 \nL 115.329126 86.029979 \nL 115.751203 86.959129 \nL 116.303151 88.808453 \nL 117.049904 92.214759 \nL 118.381072 99.594997 \nL 119.71224 106.495417 \nL 120.49146 109.468826 \nL 121.108343 111.030846 \nL 121.595356 111.71598 \nL 121.984966 111.905915 \nL 122.309641 111.822848 \nL 122.666783 111.485336 \nL 123.121329 110.702897 \nL 123.673276 109.273025 \nL 124.420029 106.654893 \nL 125.621327 101.465961 \nL 127.179768 94.919804 \nL 127.958915 92.533694 \nL 128.543243 91.3547 \nL 129.030184 90.824433 \nL 129.419736 90.706978 \nL 129.776825 90.836798 \nL 130.166377 91.227469 \nL 130.653317 92.053541 \nL 131.302571 93.654362 \nL 132.211526 96.57355 \nL 134.646226 104.690173 \nL 135.392868 106.30943 \nL 135.977196 107.097382 \nL 136.464136 107.406484 \nL 136.886151 107.415674 \nL 137.308165 107.190664 \nL 137.795105 106.657119 \nL 138.411896 105.606641 \nL 139.223463 103.722473 \nL 140.781671 99.364744 \nL 141.98279 96.34285 \nL 142.761894 94.95122 \nL 143.346223 94.307763 \nL 143.833163 94.059968 \nL 144.28764 94.069354 \nL 144.742118 94.304244 \nL 145.293983 94.86954 \nL 145.975699 95.928715 \nL 146.917117 97.849421 \nL 149.319355 102.919698 \nL 150.098459 103.979711 \nL 150.71525 104.478059 \nL 151.267115 104.648067 \nL 151.786518 104.569385 \nL 152.338383 104.244845 \nL 152.987637 103.579934 \nL 153.831666 102.356208 \nL 155.422337 99.539315 \nL 156.655919 97.583859 \nL 157.467486 96.691172 \nL 158.116739 96.281972 \nL 158.701067 96.166492 \nL 159.252933 96.276944 \nL 159.869724 96.635583 \nL 160.616365 97.35193 \nL 161.655171 98.70015 \nL 163.96002 101.783294 \nL 164.80405 102.505693 \nL 165.518229 102.834182 \nL 166.167482 102.890479 \nL 166.816736 102.720676 \nL 167.530915 102.298868 \nL 168.439869 101.482423 \nL 170.225316 99.482776 \nL 171.458898 98.292384 \nL 172.33539 97.747889 \nL 173.082032 97.539741 \nL 173.796211 97.572462 \nL 174.542852 97.834802 \nL 175.419344 98.389074 \nL 176.750314 99.534696 \nL 178.568224 101.056854 \nL 179.542104 101.57915 \nL 180.386133 101.781432 \nL 181.1977 101.742249 \nL 182.04173 101.4757 \nL 183.080535 100.899602 \nL 186.813743 98.581522 \nL 187.722698 98.399726 \nL 188.631652 98.448816 \nL 189.605533 98.73423 \nL 190.871577 99.359827 \nL 193.630904 100.791087 \nL 194.702172 101.05637 \nL 195.708515 101.077581 \nL 196.779784 100.868558 \nL 198.110753 100.364754 \nL 201.162244 99.129426 \nL 202.330901 98.947778 \nL 203.467094 99.000928 \nL 204.733139 99.291761 \nL 209.537876 100.643017 \nL 210.804297 100.604877 \nL 212.265553 100.323989 \nL 216.64932 99.310868 \nL 218.078103 99.323829 \nL 219.701721 99.575424 \nL 223.955599 100.357175 \nL 225.546744 100.337192 \nL 227.462613 100.072636 \nL 231.067043 99.536391 \nL 232.853023 99.539464 \nL 235.02867 99.786365 \nL 238.503211 100.183181 \nL 240.516497 100.156085 \nL 243.439009 99.85283 \nL 246.199158 99.653659 \nL 248.504695 99.726083 \nL 254.771859 100.073995 \nL 258.181455 99.86136 \nL 261.461163 99.740088 \nL 264.708397 99.872403 \nL 268.929803 100.014533 \nL 272.923902 99.869125 \nL 276.885529 99.804485 \nL 287.568932 99.878195 \nL 292.472256 99.851043 \nL 301.239791 99.901976 \nL 308.188874 99.880951 \nL 316.404378 99.89272 \nL 324.749772 99.903 \nL 335.628009 99.879368 \nL 370.990398 99.8984 \nL 370.990398 99.8984 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p3943b3fbd4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:33:53.731915</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mc4defd567b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#mc4defd567b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.0 -->\n      <g transform=\"translate(38.38429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.269776\" xlink:href=\"#mc4defd567b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.2 -->\n      <g transform=\"translate(103.318214 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.2037\" xlink:href=\"#mc4defd567b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.4 -->\n      <g transform=\"translate(168.252138 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.137625\" xlink:href=\"#mc4defd567b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.6 -->\n      <g transform=\"translate(233.186062 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.071549\" xlink:href=\"#mc4defd567b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.8 -->\n      <g transform=\"translate(298.119986 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.005473\" xlink:href=\"#mc4defd567b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1.0 -->\n      <g transform=\"translate(363.05391 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"maf41579e0a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"229.972033\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 233.771252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"198.728066\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 202.527285)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"167.484099\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 171.283318)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"136.240132\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 140.039351)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"104.996165\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 108.795384)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"73.752198\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.2 -->\n      <g transform=\"translate(7.2 77.551417)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"42.508231\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 1.4 -->\n      <g transform=\"translate(7.2 46.30745)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"11.264264\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 1.6 -->\n      <g transform=\"translate(7.2 15.063483)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p3d0984c089)\" d=\"M 46.335852 261.216 \nL 46.46572 261.13977 \nL 46.660522 260.646852 \nL 46.952724 259.068309 \nL 47.342328 255.432328 \nL 47.829332 248.506576 \nL 48.446204 236.113015 \nL 49.192942 216.06193 \nL 50.102016 185.011489 \nL 51.303291 135.476118 \nL 53.381173 49.137785 \nL 54.062979 30.198378 \nL 54.549982 22.134756 \nL 54.874651 19.644862 \nL 55.069453 19.29803 \nL 55.166853 19.447031 \nL 55.329188 20.167326 \nL 55.588923 22.515612 \nL 55.946059 28.003731 \nL 56.46553 40.037298 \nL 57.212282 63.401254 \nL 59.972021 155.154685 \nL 60.751241 171.796841 \nL 61.368124 180.721174 \nL 61.855137 185.048837 \nL 62.244747 186.792765 \nL 62.472019 187.114391 \nL 62.634357 187.034783 \nL 62.829162 186.603511 \nL 63.12137 185.281795 \nL 63.51098 182.294778 \nL 63.997992 176.681691 \nL 64.614875 166.797471 \nL 65.394095 150.460124 \nL 66.497991 122.001235 \nL 68.575911 67.637022 \nL 69.290197 54.929866 \nL 69.809677 49.241514 \nL 70.16682 47.297698 \nL 70.394092 46.924328 \nL 70.523962 47.012433 \nL 70.718767 47.550261 \nL 71.010975 49.24414 \nL 71.400585 53.055717 \nL 71.920065 60.546687 \nL 72.666818 74.895485 \nL 75.621362 135.445754 \nL 76.335647 144.232166 \nL 76.887594 148.594542 \nL 77.309672 150.453112 \nL 77.60188 150.988892 \nL 77.796685 151.008297 \nL 77.99149 150.761237 \nL 78.25123 150.024805 \nL 78.608373 148.274964 \nL 79.095385 144.584873 \nL 79.712268 137.95333 \nL 80.523956 126.484231 \nL 81.822656 104.318815 \nL 83.283694 80.440403 \nL 84.030447 71.608141 \nL 84.582395 67.405857 \nL 84.972005 65.797661 \nL 85.264212 65.359279 \nL 85.42655 65.400585 \nL 85.621355 65.715125 \nL 85.913563 66.714539 \nL 86.303173 68.97716 \nL 86.822653 73.461097 \nL 87.536936 81.754636 \nL 88.965506 101.701428 \nL 90.166804 117.035329 \nL 90.946025 124.440261 \nL 91.562907 128.416957 \nL 92.04992 130.272334 \nL 92.407063 130.895855 \nL 92.634335 130.969052 \nL 92.861608 130.794034 \nL 93.153815 130.212089 \nL 93.543426 128.834752 \nL 94.030438 126.210251 \nL 94.679788 121.339546 \nL 95.556411 112.863893 \nL 98.413552 83.709068 \nL 99.062903 79.841678 \nL 99.549915 78.143628 \nL 99.907058 77.59822 \nL 100.13433 77.562818 \nL 100.361603 77.766887 \nL 100.653811 78.371553 \nL 101.043421 79.745193 \nL 101.562901 82.480909 \nL 102.277186 87.585229 \nL 103.510952 98.352573 \nL 104.907055 109.957694 \nL 105.718742 114.963536 \nL 106.335625 117.525808 \nL 106.822638 118.706935 \nL 107.17978 119.086832 \nL 107.439521 119.105231 \nL 107.731728 118.870881 \nL 108.088871 118.229231 \nL 108.543416 116.879586 \nL 109.127831 114.3582 \nL 109.907051 109.891602 \nL 111.270687 100.461053 \nL 112.601855 91.82327 \nL 113.348608 88.274554 \nL 113.933023 86.45918 \nL 114.387568 85.705475 \nL 114.712243 85.532283 \nL 115.004451 85.635435 \nL 115.329126 86.029979 \nL 115.751203 86.959129 \nL 116.303151 88.808453 \nL 117.049904 92.214759 \nL 118.381072 99.594997 \nL 119.71224 106.495417 \nL 120.49146 109.468826 \nL 121.108343 111.030846 \nL 121.595356 111.71598 \nL 121.984966 111.905915 \nL 122.309641 111.822848 \nL 122.666783 111.485336 \nL 123.121329 110.702897 \nL 123.673276 109.273025 \nL 124.420029 106.654893 \nL 125.621327 101.465961 \nL 127.179768 94.919804 \nL 127.958915 92.533694 \nL 128.543243 91.3547 \nL 129.030184 90.824433 \nL 129.419736 90.706978 \nL 129.776825 90.836798 \nL 130.166377 91.227469 \nL 130.653317 92.053541 \nL 131.302571 93.654362 \nL 132.211526 96.57355 \nL 134.646226 104.690173 \nL 135.392868 106.30943 \nL 135.977196 107.097382 \nL 136.464136 107.406484 \nL 136.886151 107.415674 \nL 137.308165 107.190664 \nL 137.795105 106.657119 \nL 138.411896 105.606641 \nL 139.223463 103.722473 \nL 140.781671 99.364744 \nL 141.98279 96.34285 \nL 142.761894 94.95122 \nL 143.346223 94.307763 \nL 143.833163 94.059968 \nL 144.28764 94.069354 \nL 144.742118 94.304244 \nL 145.293983 94.86954 \nL 145.975699 95.928715 \nL 146.917117 97.849421 \nL 149.319355 102.919698 \nL 150.098459 103.979711 \nL 150.71525 104.478059 \nL 151.267115 104.648067 \nL 151.786518 104.569385 \nL 152.338383 104.244845 \nL 152.987637 103.579934 \nL 153.831666 102.356208 \nL 155.422337 99.539315 \nL 156.655919 97.583859 \nL 157.467486 96.691172 \nL 158.116739 96.281972 \nL 158.701067 96.166492 \nL 159.252933 96.276944 \nL 159.869724 96.635583 \nL 160.616365 97.35193 \nL 161.655171 98.70015 \nL 163.96002 101.783294 \nL 164.80405 102.505693 \nL 165.518229 102.834182 \nL 166.167482 102.890479 \nL 166.816736 102.720676 \nL 167.530915 102.298868 \nL 168.439869 101.482423 \nL 170.225316 99.482776 \nL 171.458898 98.292384 \nL 172.33539 97.747889 \nL 173.082032 97.539741 \nL 173.796211 97.572462 \nL 174.542852 97.834802 \nL 175.419344 98.389074 \nL 176.750314 99.534696 \nL 178.568224 101.056854 \nL 179.542104 101.57915 \nL 180.386133 101.781432 \nL 181.1977 101.742249 \nL 182.04173 101.4757 \nL 183.080535 100.899602 \nL 186.813743 98.581522 \nL 187.722698 98.399726 \nL 188.631652 98.448816 \nL 189.605533 98.73423 \nL 190.871577 99.359827 \nL 193.630904 100.791087 \nL 194.702172 101.05637 \nL 195.708515 101.077581 \nL 196.779784 100.868558 \nL 198.110753 100.364754 \nL 201.162244 99.129426 \nL 202.330901 98.947778 \nL 203.467094 99.000928 \nL 204.733139 99.291761 \nL 209.537876 100.643017 \nL 210.804297 100.604877 \nL 212.265553 100.323989 \nL 216.64932 99.310868 \nL 218.078103 99.323829 \nL 219.701721 99.575424 \nL 223.955599 100.357175 \nL 225.546744 100.337192 \nL 227.462613 100.072636 \nL 231.067043 99.536391 \nL 232.853023 99.539464 \nL 235.02867 99.786365 \nL 238.503211 100.183181 \nL 240.516497 100.156085 \nL 243.439009 99.85283 \nL 246.199158 99.653659 \nL 248.504695 99.726083 \nL 254.771859 100.073995 \nL 258.181455 99.86136 \nL 261.461163 99.740088 \nL 264.708397 99.872403 \nL 268.929803 100.014533 \nL 272.923902 99.869125 \nL 276.885529 99.804485 \nL 287.568932 99.878195 \nL 292.472256 99.851043 \nL 301.239791 99.901976 \nL 308.188874 99.880951 \nL 316.404378 99.89272 \nL 324.749772 99.903 \nL 335.628009 99.879368 \nL 370.990398 99.8984 \nL 370.990398 99.8984 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p3d0984c089\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -675,14 +677,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import scipy.io.savemet as savemat\n",
+    "import scipy.io\n",
     "\n",
-    "savemat(\"Duffing_fit.mat\", {\"x\": results_test_np})"
+    "scipy.io.savemat(\"Duffing_fit.mat\", {\"x\": results_test_np})"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
index 54d9f6d8..d169d099 100644
--- a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -111,7 +111,7 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T14:52:41.657396</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m604dba8835\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m604dba8835\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(41.56554 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.69353\" xlink:href=\"#m604dba8835\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(106.560718 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.688708\" xlink:href=\"#m604dba8835\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(171.555896 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.683886\" xlink:href=\"#m604dba8835\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(236.551074 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.679064\" xlink:href=\"#m604dba8835\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(301.546252 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.674242\" xlink:href=\"#m604dba8835\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(366.54143 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m95ca5bc888\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m95ca5bc888\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m95ca5bc888\" y=\"224.660781\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.46)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m95ca5bc888\" y=\"188.105562\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 191.904781)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m95ca5bc888\" y=\"151.550343\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 155.349562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m95ca5bc888\" y=\"114.995124\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 118.794343)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m95ca5bc888\" y=\"78.439905\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 82.239124)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m95ca5bc888\" y=\"41.884686\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 45.683905)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p98f9022c0d)\" d=\"M 52.698352 261.216 \nL 53.998256 261.122669 \nL 55.298159 260.843683 \nL 56.923038 260.236196 \nL 58.547917 259.344019 \nL 60.172796 258.170207 \nL 61.797677 256.717857 \nL 63.422557 254.990103 \nL 65.372414 252.557748 \nL 67.322267 249.738978 \nL 69.272119 246.539483 \nL 71.546946 242.333332 \nL 73.821773 237.626467 \nL 76.096601 232.428886 \nL 78.696404 225.901549 \nL 81.296206 218.764278 \nL 84.220984 210.029687 \nL 87.145762 200.578717 \nL 90.395516 189.282979 \nL 93.970244 175.964801 \nL 97.869948 160.491734 \nL 102.419603 141.433395 \nL 108.91911 113.090869 \nL 115.743592 83.524843 \nL 119.318321 68.917847 \nL 122.243099 57.795983 \nL 124.842902 48.744838 \nL 127.117729 41.606908 \nL 129.067581 36.154735 \nL 131.017433 31.38317 \nL 132.64231 27.966942 \nL 134.267186 25.089661 \nL 135.567088 23.191437 \nL 136.866989 21.662278 \nL 138.16689 20.509207 \nL 139.141816 19.894089 \nL 140.116742 19.494172 \nL 141.091668 19.309701 \nL 142.066594 19.340065 \nL 143.04152 19.583871 \nL 144.016446 20.038922 \nL 144.991372 20.702254 \nL 146.291274 21.904114 \nL 147.591175 23.45874 \nL 148.891077 25.353181 \nL 150.515953 28.176252 \nL 152.14083 31.474124 \nL 154.090682 36.007009 \nL 156.04057 41.103294 \nL 158.31544 47.665082 \nL 160.915291 55.83262 \nL 164.165105 66.787584 \nL 169.039826 84.099453 \nL 176.839379 111.825282 \nL 180.739156 124.868318 \nL 183.98897 135.035406 \nL 186.913802 143.532641 \nL 189.838635 151.341033 \nL 192.438486 157.661908 \nL 195.038337 163.371064 \nL 197.313207 167.849085 \nL 199.588077 171.834065 \nL 201.537965 174.85238 \nL 203.487853 177.50109 \nL 205.437742 179.778862 \nL 207.38763 181.6854 \nL 209.012537 182.991017 \nL 210.637444 184.040087 \nL 212.262351 184.833785 \nL 213.887258 185.373645 \nL 215.512165 185.661508 \nL 217.137072 185.699516 \nL 218.761979 185.49011 \nL 220.386886 185.036026 \nL 222.011793 184.340273 \nL 223.6367 183.406134 \nL 225.261607 182.237201 \nL 227.211495 180.530038 \nL 229.161383 178.497692 \nL 231.111272 176.148174 \nL 233.386141 173.017979 \nL 235.661011 169.483501 \nL 237.935881 165.561874 \nL 240.535732 160.630502 \nL 243.460565 154.548098 \nL 246.385397 147.949828 \nL 249.635211 140.086101 \nL 253.534988 130.039879 \nL 258.409709 116.826535 \nL 270.109039 84.843995 \nL 273.683834 75.87882 \nL 276.608666 69.12775 \nL 279.208518 63.682393 \nL 281.483387 59.418276 \nL 283.433276 56.177978 \nL 285.383164 53.352484 \nL 287.008071 51.333813 \nL 288.632978 49.634301 \nL 290.257885 48.264356 \nL 291.882792 47.231785 \nL 293.182717 46.652173 \nL 294.482643 46.293114 \nL 295.782569 46.154765 \nL 297.082494 46.236115 \nL 298.38242 46.534968 \nL 299.682345 47.048011 \nL 300.982271 47.770835 \nL 302.607178 48.960894 \nL 304.232085 50.457231 \nL 305.856992 52.244751 \nL 307.80688 54.749988 \nL 309.756768 57.617177 \nL 312.031638 61.372173 \nL 314.631489 66.130352 \nL 317.556322 71.966632 \nL 321.131117 79.604881 \nL 327.305763 93.443088 \nL 333.805391 107.841401 \nL 337.705168 115.951435 \nL 340.954982 122.238093 \nL 343.879814 127.452465 \nL 346.804647 132.193073 \nL 349.404498 135.97548 \nL 351.679368 138.932682 \nL 353.954238 141.54796 \nL 356.229107 143.811718 \nL 358.178996 145.46685 \nL 360.128884 146.855403 \nL 362.078772 147.975425 \nL 364.028661 148.826105 \nL 365.978549 149.407616 \nL 367.928437 149.721137 \nL 369.878326 149.768767 \nL 371.828214 149.553522 \nL 373.778102 149.079297 \nL 375.727991 148.350852 \nL 377.352898 147.553641 \nL 377.352898 147.553641 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p98f9022c0d\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:05.585690</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m6be2150cdf\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m6be2150cdf\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(41.56554 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.69353\" xlink:href=\"#m6be2150cdf\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(106.560718 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.688708\" xlink:href=\"#m6be2150cdf\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(171.555896 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.683886\" xlink:href=\"#m6be2150cdf\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(236.551074 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.679064\" xlink:href=\"#m6be2150cdf\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(301.546252 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.674242\" xlink:href=\"#m6be2150cdf\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(366.54143 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m49a147adc4\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m49a147adc4\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m49a147adc4\" y=\"224.660781\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.46)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m49a147adc4\" y=\"188.105562\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 191.904781)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m49a147adc4\" y=\"151.550343\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 155.349562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m49a147adc4\" y=\"114.995124\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 118.794343)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m49a147adc4\" y=\"78.439905\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 82.239124)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m49a147adc4\" y=\"41.884686\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 45.683905)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pcb11c7337e)\" d=\"M 52.698352 261.216 \nL 53.998256 261.122669 \nL 55.298159 260.843683 \nL 56.923038 260.236196 \nL 58.547917 259.344019 \nL 60.172796 258.170207 \nL 61.797677 256.717857 \nL 63.422557 254.990103 \nL 65.372414 252.557748 \nL 67.322267 249.738978 \nL 69.272119 246.539483 \nL 71.546946 242.333332 \nL 73.821773 237.626467 \nL 76.096601 232.428886 \nL 78.696404 225.901549 \nL 81.296206 218.764278 \nL 84.220984 210.029687 \nL 87.145762 200.578717 \nL 90.395516 189.282979 \nL 93.970244 175.964801 \nL 97.869948 160.491734 \nL 102.419603 141.433395 \nL 108.91911 113.090869 \nL 115.743592 83.524843 \nL 119.318321 68.917847 \nL 122.243099 57.795983 \nL 124.842902 48.744838 \nL 127.117729 41.606908 \nL 129.067581 36.154735 \nL 131.017433 31.38317 \nL 132.64231 27.966942 \nL 134.267186 25.089661 \nL 135.567088 23.191437 \nL 136.866989 21.662278 \nL 138.16689 20.509207 \nL 139.141816 19.894089 \nL 140.116742 19.494172 \nL 141.091668 19.309701 \nL 142.066594 19.340065 \nL 143.04152 19.583871 \nL 144.016446 20.038922 \nL 144.991372 20.702254 \nL 146.291274 21.904114 \nL 147.591175 23.45874 \nL 148.891077 25.353181 \nL 150.515953 28.176252 \nL 152.14083 31.474124 \nL 154.090682 36.007009 \nL 156.04057 41.103294 \nL 158.31544 47.665082 \nL 160.915291 55.83262 \nL 164.165105 66.787584 \nL 169.039826 84.099453 \nL 176.839379 111.825282 \nL 180.739156 124.868318 \nL 183.98897 135.035406 \nL 186.913802 143.532641 \nL 189.838635 151.341033 \nL 192.438486 157.661908 \nL 195.038337 163.371064 \nL 197.313207 167.849085 \nL 199.588077 171.834065 \nL 201.537965 174.85238 \nL 203.487853 177.50109 \nL 205.437742 179.778862 \nL 207.38763 181.6854 \nL 209.012537 182.991017 \nL 210.637444 184.040087 \nL 212.262351 184.833785 \nL 213.887258 185.373645 \nL 215.512165 185.661508 \nL 217.137072 185.699516 \nL 218.761979 185.49011 \nL 220.386886 185.036026 \nL 222.011793 184.340273 \nL 223.6367 183.406134 \nL 225.261607 182.237201 \nL 227.211495 180.530038 \nL 229.161383 178.497692 \nL 231.111272 176.148174 \nL 233.386141 173.017979 \nL 235.661011 169.483501 \nL 237.935881 165.561874 \nL 240.535732 160.630502 \nL 243.460565 154.548098 \nL 246.385397 147.949828 \nL 249.635211 140.086101 \nL 253.534988 130.039879 \nL 258.409709 116.826535 \nL 270.109039 84.843995 \nL 273.683834 75.87882 \nL 276.608666 69.12775 \nL 279.208518 63.682393 \nL 281.483387 59.418276 \nL 283.433276 56.177978 \nL 285.383164 53.352484 \nL 287.008071 51.333813 \nL 288.632978 49.634301 \nL 290.257885 48.264356 \nL 291.882792 47.231785 \nL 293.182717 46.652173 \nL 294.482643 46.293114 \nL 295.782569 46.154765 \nL 297.082494 46.236115 \nL 298.38242 46.534968 \nL 299.682345 47.048011 \nL 300.982271 47.770835 \nL 302.607178 48.960894 \nL 304.232085 50.457231 \nL 305.856992 52.244751 \nL 307.80688 54.749988 \nL 309.756768 57.617177 \nL 312.031638 61.372173 \nL 314.631489 66.130352 \nL 317.556322 71.966632 \nL 321.131117 79.604881 \nL 327.305763 93.443088 \nL 333.805391 107.841401 \nL 337.705168 115.951435 \nL 340.954982 122.238093 \nL 343.879814 127.452465 \nL 346.804647 132.193073 \nL 349.404498 135.97548 \nL 351.679368 138.932682 \nL 353.954238 141.54796 \nL 356.229107 143.811718 \nL 358.178996 145.46685 \nL 360.128884 146.855403 \nL 362.078772 147.975425 \nL 364.028661 148.826105 \nL 365.978549 149.407616 \nL 367.928437 149.721137 \nL 369.878326 149.768767 \nL 371.828214 149.553522 \nL 373.778102 149.079297 \nL 375.727991 148.350852 \nL 377.352898 147.553641 \nL 377.352898 147.553641 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pcb11c7337e\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -160,7 +160,7 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T14:52:42.233581</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m1d8d8a31dc\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m1d8d8a31dc\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(49.945227 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073218\" xlink:href=\"#m1d8d8a31dc\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(114.940405 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068396\" xlink:href=\"#m1d8d8a31dc\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(179.935583 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063574\" xlink:href=\"#m1d8d8a31dc\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(244.930761 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058752\" xlink:href=\"#m1d8d8a31dc\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(309.925939 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.05393\" xlink:href=\"#m1d8d8a31dc\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(374.921117 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m77059b0f22\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m77059b0f22\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m77059b0f22\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m77059b0f22\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m77059b0f22\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m77059b0f22\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p66100a3a4e)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p66100a3a4e\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:08.223402</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"ma144d5f738\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#ma144d5f738\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(49.945227 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073218\" xlink:href=\"#ma144d5f738\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(114.940405 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068396\" xlink:href=\"#ma144d5f738\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(179.935583 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063574\" xlink:href=\"#ma144d5f738\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(244.930761 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058752\" xlink:href=\"#ma144d5f738\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(309.925939 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.05393\" xlink:href=\"#ma144d5f738\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(374.921117 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mc46780bd80\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mc46780bd80\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mc46780bd80\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mc46780bd80\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mc46780bd80\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mc46780bd80\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#peb1322be13)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"peb1322be13\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -185,75 +185,75 @@
      "output_type": "stream",
      "name": "stdout",
      "text": [
-      "Epoch: 0\t Loss: tensor(1.6585e-05, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 0\t Loss: tensor(1.2307e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.1545, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.2955, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.0153, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.0601, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.1534, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.4288, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2022, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.2703, requires_grad=True), 'w': Parameter containing:\n",
       "tensor(0., requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(6.2241e-07, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 1\t Loss: tensor(2.1483e-07, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0102, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.3692, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.0477, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.5677, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-0.0261, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.4753, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1857, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7601, requires_grad=True), 'w': Parameter containing:\n",
       "tensor(0., requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(2.6668e-07, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 2\t Loss: tensor(9.9602e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0643, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5249, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1343, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7102, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.0250, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5568, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1958, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7844, requires_grad=True), 'w': Parameter containing:\n",
       "tensor(0., requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(1.2800e-07, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 3\t Loss: tensor(4.1914e-08, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0268, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5256, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2123, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8063, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.0211, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5445, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2153, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7838, requires_grad=True), 'w': Parameter containing:\n",
       "tensor(0., requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(2.8828e-09, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 4\t Loss: tensor(1.6528e-08, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0446, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5229, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2207, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7748, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.0200, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5254, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2264, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7699, requires_grad=True), 'w': Parameter containing:\n",
       "tensor(0., requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(6.4483e-10, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 5\t Loss: tensor(2.1858e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0483, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5157, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1967, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7670, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.0309, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5219, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1986, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7557, requires_grad=True), 'w': Parameter containing:\n",
       "tensor(0., requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(3.4342e-10, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 6\t Loss: tensor(1.0990e-09, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0514, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5113, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2026, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7670, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.0387, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5179, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2043, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7501, requires_grad=True), 'w': Parameter containing:\n",
       "tensor(0., requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(4.1703e-10, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 7\t Loss: tensor(5.3082e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0570, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5129, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2086, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7728, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.0477, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5139, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2163, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7565, requires_grad=True), 'w': Parameter containing:\n",
       "tensor(0., requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(6.9033e-10, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 8\t Loss: tensor(2.0206e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0620, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5134, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2020, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7777, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.0576, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5129, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1943, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7672, requires_grad=True), 'w': Parameter containing:\n",
       "tensor(0., requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(6.7190e-10, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 9\t Loss: tensor(7.0696e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0651, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5112, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2028, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7791, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.0657, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5108, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2157, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.7682, requires_grad=True), 'w': Parameter containing:\n",
       "tensor(0., requires_grad=True)}\n"
      ]
     }
@@ -276,13 +276,13 @@
      "data": {
       "text/plain": [
        "{'a': Parameter containing:\n",
-       " tensor(0.0651, requires_grad=True),\n",
+       " tensor(0.0657, requires_grad=True),\n",
        " 'b': Parameter containing:\n",
-       " tensor(0.5112, requires_grad=True),\n",
+       " tensor(0.5108, requires_grad=True),\n",
        " 'd': Parameter containing:\n",
-       " tensor(0.2028, requires_grad=True),\n",
+       " tensor(0.2157, requires_grad=True),\n",
        " 'g': Parameter containing:\n",
-       " tensor(0.7791, requires_grad=True),\n",
+       " tensor(0.7682, requires_grad=True),\n",
        " 'w': Parameter containing:\n",
        " tensor(0., requires_grad=True)}"
       ]
@@ -307,24 +307,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "output_type": "execute_result",
      "data": {
       "text/plain": [
-       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
-       "        [0.0000e+00, 7.7911e-03, 1.0000e-04],\n",
-       "        [7.7911e-05, 1.5566e-02, 2.0000e-04],\n",
+       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 0.0000e+00,  7.6820e-03,  1.0000e-04],\n",
+       "        [ 7.6820e-05,  1.5347e-02,  2.0000e-04],\n",
        "        ...,\n",
-       "        [1.1139e+00, 5.0133e-05, 9.9975e-01],\n",
-       "        [1.1139e+00, 5.1647e-05, 9.9985e-01],\n",
-       "        [1.1139e+00, 5.3148e-05, 9.9995e-01]], grad_fn=<StackBackward>)"
+       "        [ 1.1083e+00, -1.7063e-05,  9.9975e-01],\n",
+       "        [ 1.1083e+00, -1.6193e-05,  9.9985e-01],\n",
+       "        [ 1.1083e+00, -1.5323e-05,  9.9995e-01]], grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
-     "execution_count": 13
+     "execution_count": 11
     }
    ],
    "source": [
@@ -334,15 +334,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:50:35.658662</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m7145a53023\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m7145a53023\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.0 -->\n      <g transform=\"translate(44.74679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.632276\" xlink:href=\"#m7145a53023\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.2 -->\n      <g transform=\"translate(109.680714 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.5662\" xlink:href=\"#m7145a53023\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.4 -->\n      <g transform=\"translate(174.614638 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.500125\" xlink:href=\"#m7145a53023\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.6 -->\n      <g transform=\"translate(239.548562 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.434049\" xlink:href=\"#m7145a53023\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.8 -->\n      <g transform=\"translate(304.482486 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.367973\" xlink:href=\"#m7145a53023\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1.0 -->\n      <g transform=\"translate(369.41641 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m9f9adb6335\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m9f9adb6335\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m9f9adb6335\" y=\"224.761049\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.560267)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m9f9adb6335\" y=\"188.306097\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 192.105316)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m9f9adb6335\" y=\"151.851146\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 155.650365)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m9f9adb6335\" y=\"115.396194\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 119.195413)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m9f9adb6335\" y=\"78.941243\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 82.740462)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m9f9adb6335\" y=\"42.486292\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 46.28551)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p8738794e28)\" d=\"M 52.698352 261.216 \nL 52.82822 261.147926 \nL 53.023022 260.707525 \nL 53.315224 259.295698 \nL 53.704828 256.037533 \nL 54.191832 249.811425 \nL 54.776237 239.289673 \nL 55.490509 222.1181 \nL 56.334648 196.132431 \nL 57.373589 156.858289 \nL 60.425479 35.718904 \nL 60.977416 24.286194 \nL 61.367019 20.136315 \nL 61.594287 19.315904 \nL 61.691688 19.32901 \nL 61.821556 19.684738 \nL 62.048824 21.221923 \nL 62.373493 25.351064 \nL 62.82803 34.571082 \nL 63.444912 52.159869 \nL 64.548808 91.301722 \nL 66.042313 142.242208 \nL 66.918936 164.838624 \nL 67.633221 177.949148 \nL 68.217637 184.949617 \nL 68.672182 188.067714 \nL 68.996857 189.063208 \nL 69.191662 189.174916 \nL 69.353999 188.993394 \nL 69.581272 188.32524 \nL 69.905947 186.547929 \nL 70.328025 182.831741 \nL 70.879973 175.687001 \nL 71.56179 163.567652 \nL 72.405946 144.251648 \nL 73.672179 109.425716 \nL 75.263087 66.848585 \nL 75.977372 53.265276 \nL 76.496852 47.062125 \nL 76.853995 44.866869 \nL 77.081267 44.386227 \nL 77.211137 44.432831 \nL 77.373475 44.81651 \nL 77.633215 46.166184 \nL 77.990358 49.427197 \nL 78.47737 56.214819 \nL 79.159188 69.257027 \nL 80.457888 99.543994 \nL 81.756589 127.736066 \nL 82.568277 140.972191 \nL 83.217627 148.347717 \nL 83.737107 152.03166 \nL 84.126717 153.47768 \nL 84.386457 153.817059 \nL 84.548795 153.778112 \nL 84.7436 153.479662 \nL 85.035808 152.526018 \nL 85.425418 150.338375 \nL 85.91243 146.208739 \nL 86.529313 138.956546 \nL 87.341001 126.560892 \nL 88.639701 102.722142 \nL 90.068272 77.620842 \nL 90.815025 68.142094 \nL 91.366972 63.707793 \nL 91.756583 62.086509 \nL 92.016323 61.728122 \nL 92.17866 61.798158 \nL 92.373465 62.176918 \nL 92.665673 63.331554 \nL 93.055283 65.902928 \nL 93.574761 70.950678 \nL 94.321514 80.678838 \nL 97.470862 124.783672 \nL 98.120212 129.905734 \nL 98.639693 132.44581 \nL 99.029303 133.411075 \nL 99.289043 133.606209 \nL 99.483848 133.519545 \nL 99.743588 133.098354 \nL 100.068263 132.093247 \nL 100.522808 129.834864 \nL 101.107223 125.598234 \nL 101.853976 118.359496 \nL 102.990339 104.81941 \nL 104.711117 84.53649 \nL 105.45787 78.239627 \nL 106.009818 75.225524 \nL 106.431895 73.992229 \nL 106.724103 73.704592 \nL 106.918908 73.770491 \nL 107.146181 74.103846 \nL 107.470856 75.043853 \nL 107.892933 77.028357 \nL 108.477349 81.011272 \nL 109.289036 88.288905 \nL 112.016307 114.086171 \nL 112.698125 118.111692 \nL 113.250073 120.196531 \nL 113.67215 121.039358 \nL 113.964358 121.236743 \nL 114.224098 121.149236 \nL 114.516306 120.76082 \nL 114.905916 119.782344 \nL 115.392929 117.866807 \nL 116.009811 114.466739 \nL 116.853967 108.454507 \nL 119.80851 86.143955 \nL 120.425393 83.500858 \nL 120.912406 82.291205 \nL 121.269548 81.926334 \nL 121.529288 81.940919 \nL 121.789028 82.187602 \nL 122.146171 82.892312 \nL 122.600716 84.358296 \nL 123.217599 87.224035 \nL 124.094222 92.535277 \nL 126.561753 108.15152 \nL 127.276038 111.117055 \nL 127.827986 112.606106 \nL 128.282531 113.265429 \nL 128.607206 113.416836 \nL 128.899413 113.327261 \nL 129.224089 112.982746 \nL 129.646166 112.166593 \nL 130.165646 110.636986 \nL 130.847464 107.883855 \nL 131.853957 102.760802 \nL 133.931863 92.00379 \nL 134.678505 89.349742 \nL 135.23037 88.095848 \nL 135.652385 87.589149 \nL 136.009474 87.475759 \nL 136.334101 87.621725 \nL 136.69119 88.046985 \nL 137.145668 88.962534 \nL 137.729996 90.67807 \nL 138.541563 93.815106 \nL 141.430741 105.68274 \nL 142.112457 107.327023 \nL 142.63186 108.079536 \nL 143.053875 108.354467 \nL 143.410964 108.350069 \nL 143.800516 108.102882 \nL 144.254993 107.51064 \nL 144.806859 106.392074 \nL 145.521038 104.40604 \nL 146.624769 100.581607 \nL 148.377753 94.552496 \nL 149.156857 92.636777 \nL 149.741185 91.705913 \nL 150.228125 91.303791 \nL 150.617677 91.234884 \nL 151.00723 91.388272 \nL 151.461707 91.835087 \nL 152.013572 92.728873 \nL 152.727751 94.352782 \nL 153.863945 97.590154 \nL 155.519541 102.228845 \nL 156.331108 103.869964 \nL 156.947899 104.680032 \nL 157.467302 105.034282 \nL 157.921779 105.091073 \nL 158.376256 104.915451 \nL 158.895659 104.446091 \nL 159.51245 103.557451 \nL 160.324017 101.956974 \nL 161.882225 98.246261 \nL 163.083344 95.67626 \nL 163.862448 94.500017 \nL 164.479239 93.943115 \nL 164.998642 93.756543 \nL 165.485582 93.819157 \nL 166.004985 94.128871 \nL 166.621776 94.789688 \nL 167.40088 95.988634 \nL 168.699387 98.479576 \nL 170.160207 101.142438 \nL 171.004237 102.236302 \nL 171.65349 102.750389 \nL 172.237818 102.942542 \nL 172.789684 102.885195 \nL 173.374012 102.583164 \nL 174.055728 101.95228 \nL 174.93222 100.800078 \nL 178.243413 96.080868 \nL 178.957592 95.59814 \nL 179.574382 95.437816 \nL 180.158711 95.509556 \nL 180.807964 95.8297 \nL 181.554606 96.465799 \nL 182.593411 97.681415 \nL 184.995649 100.593915 \nL 185.839678 101.225963 \nL 186.553857 101.496861 \nL 187.235573 101.51414 \nL 187.91729 101.303022 \nL 188.696394 100.816244 \nL 189.702737 99.90252 \nL 192.591915 97.11803 \nL 193.435944 96.692196 \nL 194.182586 96.557912 \nL 194.929227 96.656752 \nL 195.740794 97.00497 \nL 196.747137 97.703665 \nL 200.155718 100.294283 \nL 201.03221 100.564051 \nL 201.843777 100.584058 \nL 202.687806 100.378695 \nL 203.661686 99.903946 \nL 205.219895 98.850375 \nL 206.907954 97.790268 \nL 207.914297 97.413212 \nL 208.823251 97.304255 \nL 209.732206 97.421868 \nL 210.771012 97.794961 \nL 212.296757 98.617998 \nL 214.212055 99.604644 \nL 215.315873 99.921433 \nL 216.322516 99.979597 \nL 217.361631 99.810042 \nL 218.595581 99.370928 \nL 222.264956 97.911654 \nL 223.369016 97.800524 \nL 224.505548 97.915548 \nL 225.836915 98.288449 \nL 229.668652 99.507507 \nL 230.902601 99.573598 \nL 232.169023 99.416611 \nL 233.857585 98.962617 \nL 236.520318 98.250641 \nL 237.916629 98.130055 \nL 239.31294 98.239951 \nL 241.131391 98.630062 \nL 243.956486 99.230821 \nL 245.482686 99.305099 \nL 247.073831 99.152406 \nL 252.853909 98.353775 \nL 254.639889 98.513925 \nL 259.802992 99.129808 \nL 261.751333 99.014767 \nL 267.531411 98.499515 \nL 269.836948 98.666288 \nL 274.090826 99.010073 \nL 276.461308 98.924861 \nL 282.273858 98.597051 \nL 285.423676 98.778757 \nL 289.028107 98.932997 \nL 292.177925 98.81128 \nL 296.626637 98.655771 \nL 300.588263 98.807178 \nL 304.452473 98.872486 \nL 315.070931 98.795044 \nL 319.811894 98.828646 \nL 328.644373 98.768448 \nL 335.23626 98.799529 \nL 343.549182 98.776862 \nL 351.180184 98.77681 \nL 359.720412 98.791377 \nL 375.72928 98.791672 \nL 377.352898 98.79089 \nL 377.352898 98.79089 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p8738794e28\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:34:47.821400</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m3426cdd11e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m3426cdd11e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.0 -->\n      <g transform=\"translate(44.74679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.632276\" xlink:href=\"#m3426cdd11e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.2 -->\n      <g transform=\"translate(109.680714 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.5662\" xlink:href=\"#m3426cdd11e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.4 -->\n      <g transform=\"translate(174.614638 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.500125\" xlink:href=\"#m3426cdd11e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.6 -->\n      <g transform=\"translate(239.548562 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.434049\" xlink:href=\"#m3426cdd11e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.8 -->\n      <g transform=\"translate(304.482486 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.367973\" xlink:href=\"#m3426cdd11e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1.0 -->\n      <g transform=\"translate(369.41641 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m943b794c55\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m943b794c55\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m943b794c55\" y=\"224.390007\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.189226)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m943b794c55\" y=\"187.564014\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 191.363233)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m943b794c55\" y=\"150.738022\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 154.53724)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m943b794c55\" y=\"113.912029\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 117.711248)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m943b794c55\" y=\"77.086036\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 80.885255)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m943b794c55\" y=\"40.260043\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 44.059262)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p19aabc8379)\" d=\"M 52.698352 261.216 \nL 52.82822 261.148202 \nL 53.023022 260.709716 \nL 53.315224 259.304704 \nL 53.704828 256.064438 \nL 54.191832 249.877825 \nL 54.776237 239.433641 \nL 55.490509 222.409559 \nL 56.334648 196.681922 \nL 57.373589 157.842315 \nL 60.490412 35.474908 \nL 61.04235 24.245392 \nL 61.431953 20.149328 \nL 61.659221 19.319846 \nL 61.756622 19.319495 \nL 61.886489 19.648359 \nL 62.113758 21.114198 \nL 62.438427 25.090555 \nL 62.892965 34.010052 \nL 63.509847 51.079621 \nL 64.613743 89.20918 \nL 66.107248 139.05904 \nL 66.983871 161.239904 \nL 67.698156 174.126925 \nL 68.282572 181.016276 \nL 68.737117 184.09177 \nL 69.061792 185.080653 \nL 69.256597 185.198173 \nL 69.418935 185.0272 \nL 69.646207 184.382765 \nL 69.970882 182.65804 \nL 70.39296 179.044771 \nL 70.944908 172.097727 \nL 71.626725 160.330094 \nL 72.470881 141.627427 \nL 73.769581 107.1797 \nL 75.295554 68.018069 \nL 76.009839 54.806538 \nL 76.52932 48.633232 \nL 76.91893 46.198169 \nL 77.17867 45.668173 \nL 77.30854 45.732389 \nL 77.503345 46.235167 \nL 77.763085 47.645183 \nL 78.152695 51.253921 \nL 78.672175 58.517476 \nL 79.418928 72.632925 \nL 82.470874 134.532028 \nL 83.152692 142.710897 \nL 83.70464 147.000762 \nL 84.126717 148.83148 \nL 84.418925 149.362819 \nL 84.61373 149.385972 \nL 84.808535 149.147849 \nL 85.068275 148.431024 \nL 85.425418 146.721013 \nL 85.91243 143.104531 \nL 86.529313 136.584853 \nL 87.308533 125.761527 \nL 88.509831 105.494256 \nL 90.133207 78.651932 \nL 90.87996 69.743637 \nL 91.431907 65.493924 \nL 91.821518 63.863846 \nL 92.113725 63.417383 \nL 92.276063 63.457596 \nL 92.470868 63.77408 \nL 92.763075 64.783025 \nL 93.152686 67.070004 \nL 93.672163 71.603312 \nL 94.386449 79.983243 \nL 95.847487 100.551572 \nL 97.016317 115.51005 \nL 97.795537 122.946342 \nL 98.41242 126.943359 \nL 98.899433 128.814772 \nL 99.256575 129.450523 \nL 99.516315 129.522897 \nL 99.743588 129.320693 \nL 100.035796 128.704653 \nL 100.425406 127.283127 \nL 100.944886 124.392751 \nL 101.594236 119.377729 \nL 102.503326 110.379132 \nL 105.230597 82.000185 \nL 105.879948 77.905509 \nL 106.36696 76.046853 \nL 106.724103 75.396184 \nL 106.983843 75.307822 \nL 107.211116 75.4938 \nL 107.503323 76.084607 \nL 107.892933 77.456148 \nL 108.412414 80.216844 \nL 109.126699 85.399608 \nL 110.360464 96.376857 \nL 111.789035 108.478876 \nL 112.600723 113.546026 \nL 113.217605 116.128672 \nL 113.704618 117.311004 \nL 114.061761 117.683865 \nL 114.321501 117.693127 \nL 114.613708 117.444469 \nL 114.970851 116.779621 \nL 115.425396 115.391494 \nL 116.009811 112.805977 \nL 116.789032 108.229454 \nL 118.1202 98.790584 \nL 119.483835 89.668339 \nL 120.230588 86.011363 \nL 120.815003 84.140837 \nL 121.237081 83.401262 \nL 121.561756 83.194493 \nL 121.821496 83.255462 \nL 122.113703 83.559408 \nL 122.503314 84.334963 \nL 122.990326 85.848249 \nL 123.639677 88.649982 \nL 124.646169 94.146245 \nL 126.59422 104.895688 \nL 127.37344 107.955325 \nL 127.990323 109.558413 \nL 128.477336 110.258144 \nL 128.834478 110.445017 \nL 129.159154 110.376884 \nL 129.516296 110.047002 \nL 129.938374 109.329746 \nL 130.490321 107.904717 \nL 131.204607 105.378325 \nL 132.276035 100.658828 \nL 134.094177 92.652135 \nL 134.873281 90.198651 \nL 135.457609 89.001428 \nL 135.912086 88.499739 \nL 136.301638 88.379312 \nL 136.658728 88.517825 \nL 137.04828 88.930082 \nL 137.53522 89.79946 \nL 138.184473 91.48169 \nL 139.093428 94.545314 \nL 141.495666 102.952375 \nL 142.242308 104.670621 \nL 142.826636 105.515977 \nL 143.313576 105.857274 \nL 143.735591 105.882016 \nL 144.157605 105.660672 \nL 144.644546 105.11661 \nL 145.228874 104.097902 \nL 146.007978 102.24116 \nL 147.306485 98.45129 \nL 148.734842 94.494495 \nL 149.513947 92.928617 \nL 150.130737 92.13357 \nL 150.65014 91.806498 \nL 151.104618 91.78453 \nL 151.559095 92.003468 \nL 152.078498 92.528705 \nL 152.727751 93.542497 \nL 153.604243 95.374058 \nL 156.396033 101.528997 \nL 157.110212 102.46347 \nL 157.69454 102.900837 \nL 158.213943 103.02776 \nL 158.700883 102.924104 \nL 159.252749 102.559892 \nL 159.902002 101.833048 \nL 160.746032 100.511394 \nL 162.434091 97.314789 \nL 163.570284 95.423437 \nL 164.349388 94.516515 \nL 164.998642 94.081536 \nL 165.550507 93.961391 \nL 166.102373 94.070597 \nL 166.686701 94.42069 \nL 167.40088 95.130413 \nL 168.37476 96.455052 \nL 170.971774 100.154944 \nL 171.783341 100.850619 \nL 172.465057 101.151386 \nL 173.081848 101.186735 \nL 173.698638 101.002952 \nL 174.412817 100.543529 \nL 175.289309 99.693731 \nL 176.912443 97.726887 \nL 178.21095 96.318733 \nL 179.087442 95.683939 \nL 179.801621 95.421768 \nL 180.483337 95.401557 \nL 181.197516 95.61326 \nL 182.009083 96.104449 \nL 183.080351 97.03915 \nL 185.644902 99.377931 \nL 186.553857 99.856371 \nL 187.332961 100.026967 \nL 188.112066 99.967052 \nL 188.923632 99.67812 \nL 189.929975 99.066803 \nL 193.728108 96.492911 \nL 194.6046 96.308601 \nL 195.44863 96.35496 \nL 196.357585 96.630616 \nL 197.493778 97.221001 \nL 200.707583 99.029225 \nL 201.713926 99.26251 \nL 202.655343 99.257698 \nL 203.661686 99.028786 \nL 204.927731 98.498035 \nL 208.044147 97.095623 \nL 209.147878 96.901638 \nL 210.219146 96.94199 \nL 211.387803 97.215663 \nL 213.17325 97.9011 \nL 215.153511 98.596107 \nL 216.419933 98.797433 \nL 217.62141 98.758257 \nL 218.985249 98.476366 \nL 223.693739 97.282461 \nL 225.025106 97.319162 \nL 226.583779 97.600894 \nL 230.707767 98.474382 \nL 232.201495 98.475207 \nL 233.890057 98.241571 \nL 238.241352 97.526405 \nL 239.897442 97.563246 \nL 242.008145 97.853038 \nL 245.157963 98.276954 \nL 247.008886 98.280256 \nL 249.281951 98.041914 \nL 252.756492 97.683374 \nL 254.834723 97.720408 \nL 258.471626 98.07526 \nL 260.971997 98.178935 \nL 263.537312 98.043617 \nL 268.083441 97.772368 \nL 270.908536 97.885033 \nL 275.681971 98.097895 \nL 279.12404 97.959154 \nL 283.248029 97.84022 \nL 287.69674 98.001245 \nL 291.528478 98.029306 \nL 300.458374 97.932533 \nL 306.530703 97.996539 \nL 315.622961 97.949618 \nL 322.442155 97.964422 \nL 330.625187 97.955308 \nL 338.938108 97.94363 \nL 351.602324 97.958855 \nL 372.222266 97.94723 \nL 377.352898 97.959996 \nL 377.352898 97.959996 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p19aabc8379\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiwAAAGdCAYAAAAxCSikAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAABW6ElEQVR4nO3deXxU9bk/8M+ZPdtMCIEkkLDKTkUMAomCtUoU93tr5fbeorZYy23vLZafXahal/aWa29V3K29KFdbESuuFSvYyqJQLJjggiAIkhASQkKSmSyzn98fZ86ZmWSWc85MJguf9+s1L5LJyeFkRObD832+zxFEURRBRERENIAZ+vsCiIiIiJJhYCEiIqIBj4GFiIiIBjwGFiIiIhrwGFiIiIhowGNgISIiogGPgYWIiIgGPAYWIiIiGvBM/X0B6RIMBnHixAnk5eVBEIT+vhwiIiJSQRRFuFwujBo1CgZD/DrKkAksJ06cQFlZWX9fBhEREelQV1eH0tLSuF8fMoElLy8PgPQD2+32fr4aIiIiUsPpdKKsrEx5H49nyAQWeRnIbrczsBAREQ0yydo52HRLREREAx4DCxEREQ14DCxEREQ04DGwEBER0YDHwEJEREQDHgMLERERDXgMLERERDTgMbAQERHRgMfAQkRERAMeAwsRERENeAwsRERENOAxsBAREdGAx8CSZsGgiD/8/Rg+rG3t70shIiIaMhhY0uylD4/jjlc/wY1rP4DXH+zvyyEiIhoSGFjS7MNjUmXF5fHjSHNHP18NERHR0MDAkmbHWrqUj4+e6uzHKyEiIho6GFjSrK41HFgane5+vBIiIqKhg4ElzVo7vcrHzR2efrwSIiKioYOBJY28/iA6vQHl85YOb4KjiYiISC0GljRq64oOKM0MLERERGnBwJJGbd2+qM9buxhYiIiI0oGBJY0i+1cAoMPt76crISIiGloYWNKotUuqsJgMAgCgw8PAQkRElA4MLGnkdEuBZfSwrKjPiYiIKDUMLGnUFaqoFNltAKQKiyiK/XlJREREQwIDSxrJW5rlwCKKiNrmTERERPowsKRRdyicDM+xhPtY2HhLRESUMgaWNOr0SuEk22JErs0EAHCxj4WIiChlDCxp1OWRKiw5VhNyrVJgcbLCQkRElDIGljTq8kmBJctsVAJLN3tYiIiIUsbAkkbyLqEcqxE2s1F6zssKCxERUaoYWNJI7mHJspiQbZECS7ePFRYiIqJUMbCkkbz8k2MxIitUYeGSEBERUeoYWNJInrmSbTEhixUWIiKitGFgSSO5hyU7osLSxQoLERFRyhhY0kjeJZRjNYZ7WBhYiIiIUsbAkkbyHBZpSSi0rZlLQkRERCljYEmTQFCENxAEANjMXBIiIiJKJ82BZfv27bjqqqswatQoCIKAV199NeHxW7duhSAIvR4HDhyIOm7jxo2YPn06rFYrpk+fjldeeUXrpfUrjz8cTGxmg7Ik5GaFhYiIKGWaA0tnZydmzZqFRx99VNP3HTx4EA0NDcpj0qRJytd27dqFJUuWYOnSpdi3bx+WLl2K66+/Hrt379Z6ef3G7QsqH1tNRtgsHBxHRESULiat37B48WIsXrxY8280cuRI5Ofnx/zamjVrsGjRIqxatQoAsGrVKmzbtg1r1qzB+vXrNf9e/UGusJiNAowGAdnyHJaIIENERET6ZKyHZfbs2SgpKcHFF1+Md999N+pru3btQlVVVdRzl156KXbu3Jmpy0uZJxRMrCYpqChzWFhhISIiSpnmCotWJSUleOqpp1BeXg6Px4PnnnsOF198MbZu3YqFCxcCABobG1FUVBT1fUVFRWhsbIx7Xo/HA4/Ho3zudDr75gdQyeOXA4uUATk4joiIKH36PLBMmTIFU6ZMUT6vqKhAXV0dfvvb3yqBBQAEQYj6PlEUez0XafXq1bjnnnvSf8E6yUtC8k0PuUuIiIgoffplW/P8+fNx6NAh5fPi4uJe1ZSmpqZeVZdIq1atQnt7u/Koq6vrs+tVw+3rUWEJBRY3AwsREVHK+iWwVFdXo6SkRPm8oqICW7ZsiTpm8+bNqKysjHsOq9UKu90e9ehPcoXFEgoscqVFXioiIiIi/TQvCXV0dODw4cPK50ePHkVNTQ0KCgowZswYrFq1CvX19Xj22WcBSDuAxo0bhxkzZsDr9eIPf/gDNm7ciI0bNyrnWLFiBRYuXIj77rsP11xzDV577TW88847eO+999LwI2aG0nQbCipypYWBhYiIKHWaA8uePXtw0UUXKZ+vXLkSAHDjjTdi3bp1aGhoQG1trfJ1r9eL2267DfX19cjKysKMGTPw5ptv4vLLL1eOqaysxAsvvIA77rgDd955JyZOnIgNGzZg3rx5qfxsGSUHE1soqFjNcmDhkhAREVGqBFEUxf6+iHRwOp1wOBxob2/vl+WhjXuP4//9aR8WTh6BZ78zF62dXsz+pbTM9cWvL4fREL+BmIiI6Eyl9v2b9xJKk57bmuUKi/S11KssD//1EC6+fys+qW9P+VxERESDDQNLmsihRA4sFmNEYElx2m17lw8PbPkcX5zqxMN/PZT8G4iIiIYYBpY0CVdYpKZbk9EAU2gZKNXG24/q25SPP6xti3scERHRUMXAkibyXZltEUtB4a3NqS0J7T8RnuLb3OGB0+1L6XxERESDDQNLmvSssEgfSy+vO8UloYZ2d9TnR051pnQ+IiKiwYaBJU3Cc1jCL2l4FktqFZaG9u7oz9u64xxJREQ0NDGwpEnPplsgPEQu1R6WxlCFRd4a3eTyJDqciIhoyGFgSRNlcJy595JQqruE5CWhs0sdAIAmlzvR4UREREMOA0uayE23sSos8tf0CARFnOqQKipnjw4FFicrLEREdGZhYEmTRE23qSwJudw+yLOIJxfnAeCSEBERnXkYWNKk56TbyI9Tabpt65K2MOdYjCi22wAArV1e3ecjIiIajBhY0sSjzGEJV1hsaWi6beuWAkt+tgX52WbpuS7OYSEiojMLA0uauBNUWFLpYWkLVVMcWWY4sixRzxEREZ0pGFjSRK6wRM9hSb3C0q5UWMxKhcXp9iMQHBI32SYiIlKFgSVNvKFQEnnTQzm8pLKtOTKwOLLMyvPObi4LERHRmYOBJU2UptvIHhZT6vcSkvtVHFkWmI0G5FpN0vMMLEREdAZhYEkTX0AKLGajoDwnV1hSuZdQOLCYo35lHwsREZ1JGFjSRA4sUUtC6djW3C0FE7l/RQksrLAQEdEZhIElTXwBqQnWYkpv062z2w8AsNukoCIHl3ZubSYiojMIA0uaeJUlofBLajOnPum2yysFlhyrFH7k4OJyM7AQEdGZg4ElDURRVHYJmY29KyypzGHp9EiBRW62zbVJv7pCzxMREZ0JGFjSwB8xEyV2D4v+CktHKJhkW0KBJRRcOtwMLEREdOZgYEkDueEW6NHDosxhSaXCIn2vHFTyQhWWTlZYiIjoDMLAkgY+f7jCErWtWV4SSqHC0tmjh0UOLlwSIiKiMwkDSxp4AlIVRBAAoyEysEgvr1dnYBFFUamk5ISCSk4al4ROtHXjaHNnyuchIiLqawwsaSBvaTYbDRCE3oFF7xwWty8IuT0mp8eSUEeKFZa6011Y9MA2XPLANrx/uDmlcxEREfU1BpY08MW4jxAQHtOvt8IiLwcBQLY5ekko1cCy8cPj6PQGEAiKeG7XsZTORURE1NcYWNJAmXJrin455QCjd5eQshxkMcIQWmpKV2B571C4qvL3oy0QRd79mYiIBi4GljTwxriPEJD6LiFlS3MopADhOSyp9LCIooiDjS7l87YuH+pOd+s+HxERUV9jYEmDWEPjgNTnsPTc0gwAeVZp0m0qFZZGpxsujx9Gg4CzRuYCAA41uZJ8FxERUf9hYEkD5T5CvQJL+F5CepZcem5pBsIVlq5Q/4keh052AADGDc/G5CIpsBxr6dJ1LiIiokxgYEmDeD0s8pKQdIyOwNJjyi0QHV4im3K1ONEmLf+MKcjGmIIcAMCxFm5vJiKigYuBJQ1i3fgQiK646Nna3PM+QoBUtZHPq7ePpaHdDQAodmRh3PBsAMCXrLAQEdEAxsCSBuEelh5Nt6bIwKK9j6Uj1MOSExFYgIjGW519LI2hwFLisKF0mBRYGtrZdEtERAMXA0sa+OJUWARBUJaJ9ASWLqXCYox6XhnPr7PC0uiUKyw2FNmtAICTTo+ucxEREWUCA0saxOthAVIbz9/h7d3DAoQrLl06e1giKywj7TYAQHu3D+4UbtJIRETUlxhY0kC++WHPXUJAauP5e95HSJZtMYa+ri9gyMs/JQ4b7DYTskJTdE+GKi9EREQDDQNLGsRrugUitjb7dCwJeaVAIgcUmfx5t097hcXtC8AZWkoaabdBEAQuCxER0YDHwJIGStNtgiUhPT0s8hJNvMCip8JyutMLQGoQzgtVbuRloUZWWIiIaIBiYEkDX5zR/EC4r0VPD0t3qMJiM0cHlhyL/h4WObAMy7Yod5YuCgWWJgYWIiIaoBhY0kAOLNaEFRbt1ZDuUIUlq0dgyQ7tGpKXjLRo7ZICS0GORXlueOjjllCYISIiGmg0B5bt27fjqquuwqhRoyAIAl599dWEx7/88stYtGgRRowYAbvdjoqKCrz99ttRx6xbtw6CIPR6uN2D41/83tAU24Q9LLqWhKTv6VlhybaEx/NrJVdY8rPNynNyYGlNMbDs+qIFy5/bi1er61M6DxERUU+aA0tnZydmzZqFRx99VNXx27dvx6JFi7Bp0ybs3bsXF110Ea666ipUV1dHHWe329HQ0BD1sNlsWi+vX8S7+SEQccdmHRUWd7wKi9LDon1JSA4lkRWWYWmosHR7A/jP9R/iL582YuWLNTjazFH/RESUPqbkh0RbvHgxFi9erPr4NWvWRH3+61//Gq+99hreeOMNzJ49W3leEAQUFxdrvZwBId7gOCC1OSzKkpAl+rxyD0u3ngpLlw+A1MMikyssp1MILH89cBLNHdL3B0Xgpb11+PGlU3Wfj4iIKFLGe1iCwSBcLhcKCgqinu/o6MDYsWNRWlqKK6+8slcFpiePxwOn0xn16C/K4LgETbd6loTiNd1myRUWHU23bTF6WArSEFjeO9QMIBx+th48pftcREREPWU8sNx///3o7OzE9ddfrzw3depUrFu3Dq+//jrWr18Pm82G888/H4cOHYp7ntWrV8PhcCiPsrKyTFx+TIkn3eqfwxKv6TYnhabbyF1CsuG5oSWhDv1zWD748jQA4MeXTgEAfNbg1D2Jl4iIqKeMBpb169fj7rvvxoYNGzBy5Ejl+fnz5+Nb3/oWZs2ahQULFuDFF1/E5MmT8cgjj8Q916pVq9De3q486urqMvEjxOT1J2q6TUMPS685LPqbbmPtEirIkQbHOd1+JXxpvc4vQz0rX5s2EiPzrAiKwP4T/Vf1IiKioSVjgWXDhg1YtmwZXnzxRVxyySUJjzUYDDjvvPMSVlisVivsdnvUo78knnSrr4fFHwjCF9p9ZDOlr+n2dKfUwxK5S8iRZUZoJIsSaLQ43NSBoAgMyzZjRK4VXxntAAB8XN+u+VxERESxZCSwrF+/HjfddBOef/55XHHFFUmPF0URNTU1KCkpycDVpc6XYNKt3h4Wd8Txaa2wxNglZDQIyhKRnj6Wg40uAMDkojwIgoBpJVJ4PNTUoflcREREsWjeJdTR0YHDhw8rnx89ehQ1NTUoKCjAmDFjsGrVKtTX1+PZZ58FIIWVG264AQ899BDmz5+PxsZGAEBWVhYcDulf4vfccw/mz5+PSZMmwel04uGHH0ZNTQ0ee+yxdPyMfS5R063eOSyRO4B6DqRLpYdFrqBE9rAAUoA53enF6Q7tgeXzJimwTCnOAwBMGJEDADhyioGFiIjSQ3OFZc+ePZg9e7ayJXnlypWYPXs2fvGLXwAAGhoaUFtbqxz/u9/9Dn6/Hz/4wQ9QUlKiPFasWKEc09bWhltuuQXTpk1DVVUV6uvrsX37dsydOzfVny8jvAmbbvX1sETOYJFH6MuyzfpG87t9ASU42W3mqK8VpDCL5fhp6e7PY4dLQWV8ofQrZ7EQEVG6aK6wfPWrX4UoinG/vm7duqjPt27dmvScDz74IB588EGtlzJgJJzDYta3JNQdp+EWiB7NHwyKMBh6V3ZicbnDASfXFv2fviBUcdHTw3K8tQsAUDosCwAwoTAXgHT3506PHzlWzX/MiIiIovBeQmmQaNKtxagzsHhjb2kGou/e7NZQuXG5pYbbXKsJxh4hR27CbQ8NltOivk2qsMiBxZFtVuaxpFJlaWx3Y/lze/H9P+5Fk2tw3KaBiIj6Bv/pmwbybh5LzAqLvjks8pKQXKGJZDMZIQiAKAKdnoDShJuMXGHJs/U+Pl+psGgLLN3egDLhtnRYtvL82OHZaOn0ovZ0F2aGdg1pteKFauw+elq59ueWzdN1HiIiGvxYYUmDxIPj9PWwxBsaBwAGg4Bss7wspL6PJXFgkSosbd3aloTq27qUczqywn0xo0Phpb61W9P5ZB8db1PCCgDsONSMj49zmzQR0ZmKgSUNEs9hkYKF1jks8W58KMsKVVU6PdqXhHo23AJAfpa+JaG6UCAZnZ8V9bz8ubxcpNUb+04AAK6eNQpXnC1tb3+thneBJiI6UzGwpEG4hyV99xJK1HQLhLc2d/vUV1icocCSuMKiLbAcb43uX5GNDn1+XGeFZUfo3kSXTC/CVaHA8rcDTbrORUREgx97WNJAzd2atTfdSsf3vPGhLFtXhUVeEupdYXFkST0sbRp3CZ1sl5phSxzRgaU0hQpLk8uNA40uCAJwwVmFMBoEGATgSHMnTjrdKLLbNJ+TiIgGN1ZY0kBpuu2DHpb4gUV7D4tTRQ9Lu8YKi7x7Z2SeNep5ucJSH9ryrMVHdVKvyqSRuSjIscCRZcaMUVLj7q4vWjSfj4iIBj8GljSQR/P3xS6hrBi7hIDIwKKjhyUrRg+LvCTU5Us4Z6enUy7pDs8j7T0CS6jC4nT7ld9XrU9OSIElcnfR3PEFAIDq2lZN54okiiJera7HvW/sZwMvEdEgw8CSBkrTbYIKi1fjXZCTNd3myEtCGgKLsztBhSW0JOQPiujQcFPFJjmw5EUv0+RYTUoI0ros9Em9dJfnmaPCgeXsUunjj1K4oeKT247g1g01ePr9o/j6kzsZWoiIBhEGlhSJohixSyhB061P45JQKIjY4jTdKhUWDeHCpTTd9q6wZFmMSrhq07BTSA4sI3osCQERO4U0Nt5+GqPCIt8B+rMGJ/wawx8AnGjrxoPvfA5AWr7y+oP4+Ssfa6omERFR/2FgSVEgKEJ+z4u5JJTqLqF4PSw6boAoN93aY1RYAO19LIGgiJYOucISP7Cc0FBhOd3pRUO7G4IATB9lV54fNzwHuVYT3L4gDuu4qeILH9TC6w/ivHHDsGnFAtjMBnxc346d7IkhIhoUGFhSJDfcAvGabsN3a9byr/mkgcWi/QaILk/8OSxAeFlIbYWlpcODoAgYBGB4bu/AMkrZKaR+rP4XoTAyOj8LuRH3IDIYBMwIBRitSznBoIgNe+oAADdWjkNhrhXfKC8DAGz4R52mcxERUf9gYElRZG9KopsfAtHhJhm5STfZLiEtPSyJJt0C0j2AAPXTbuXloOG51l73JgKAUflSX4uWCsuRUGCR7/gcSa64HGx0qT4fIDXxnnR6kGMxYtH0IgDAP587GgCwZf9JzXe9lnn9Qfx602e44L6/Yena3TjcpO26iIhIPQaWFEVOsDXFeNOOXCbSsrU5WYVFbrrt1tR0G7+HBQhPu1VbYVF2CMVYDgLCFZaGdi2BRbpZ4sQRub2+NrU4DwBw8KS2YCAPnLtgUqFS8TqnLB9jCrLR7Qvg3QOnNJ1P9pOX9uGp7UdwvLUbOw4147ond6HutPZt3ERElBwDS4qU+wgZDRCE3oHFaooMLOr7WJI23YZ6WNTu6BFFMdzDkpWeHpZ4M1hko5QeFi1LQlJgmTCid4VlclEosGissLwbCixfmzpSeU4QBFw6Q6q2vHtQ+wTdzZ824tWaEzAZBPzXP83EzNF2tHX58OOX9rGRl4ioDzCwpMiXYIcQIL0x6hnPn+4Ki9sXhD8ovZHGrbBka5t22+SMv0MIAEaFpt82Ot2qd/YcbY6/JDQpFFiaXB60dqq7Rpfbp2yFvnDyyKivyZ9v+/wUgkH1IUMURTywRdpx9N2FE/Bv88biiX8rh9VkwN+PnMaW/SdVnytSICjiub8fw7WPvY+rH30Pv99+RNeOKCKioYiBJUWJ7tQsU2axaAgsyeawhHtY1FVY5C3NBgHIiVO1kSssrSqXhOLNYJGNyLPCZBAQCIrKsYn4A0HUhpZUJsRYEsq1mpR7FqldFqqpa4MoSvc6KnZEX+d544ch22LEKZcH+xucqs4HSAHnQKMLORYjll84EQBQVpCNZReMBwA8/LdDmqssgaCI//diDe589RPU1LXho+Pt+K9Nn+Hb6/6h/FkgIjqTMbCkyOuX3phiNdzK9IznD9/8MPZ5c0I7aLpU3ktIvvFhrtUUc+kK0L5LSFkSsseusBgNghIS1PSx1LV2wxcQYTMbUBLnfkFTQlWWz1UGlg+PtQEAzh0zrNfXrCYjKicOByCFELX+8PdaAMCS88bAETE1+OYFE2A1GfBJvRN/P3Ja9fkAYN3OL5Ulptsvn4ZfXjMD2RYjdhxqxo9f+kjXMpMvEMRzfz+G657YiQv/513c/H//UJbHiIgGGwaWFHkT3PhQpmxt1jCeX/5Xtfy9PWmtsDiV/pXYy0FAZA+Ltl1C8XpYAG1bm+UdQuOG58AQo4EZAKYUa+tj+TA0yr98bO/AAgAXTgkvC6nR1uXFts+lN/1vzi2L+lpBjgXXlZcCAH6/44iq8wHS7JmHQkPt7rp6Br67cAKWVozD/944B2ajgDf2ncCf9hxXfT4AaO7w4F+e+jvufPUT7DnWimMtXXjnsyZ8e90/8MP11ZqatSMdbnLhyW1f4I5XP8Z/v3UAmz9t1FQ5JCLSi3drTpGWJSE9TbdZcZZvlAqLyjeeRHdqlundJRSvhwXQNjwu0Q4hmRxY1FRYgkFRCSyxKiwAcOGkEQCAD4+1wun2xZ1RI3vz4wb4AiKml9iVnppIyy4Yjz/ursXfDjThyKmOmEtbPa1553M43X5MK7HjX+eOUZ6vnFiIlYum4L6/HMDdb3yKeRMKMHZ4796enrq8fnxn3T/w0fF25FlNuHXRZMwYZceW/SexbueXeH3fCdS1duHpG8/DsBxL0vMBQGO7G/e88Sne+qSx19dG5Flx6yWTsGROGUwJgntPbl8Ab+w7gb8fOY261i4EgyJGD8vCnLHD8LVpRcqfHa3aurw42twJty+IPJsJo/KzUKDy5ySigYuBJUWJbnwos+jqYZGOTdrDonKXUHgsf/z/5OE5LMkDiyiK4cCSG3v5BgBKHOpnsRxtkQJLrIZbmbxT6ECjC6Ioxl3eAqQhdC63HzazAVNLeocLABgzPBvjC3NwtLkTOw+34LKZxQmv8bXqEwCAa84ZFfPrE0bk4uKpI/HXA0145v0v8ctrZyY83+cnXfjjbmmJ6c4rp/WaZ3PLwgnYerAJu4+exm1/2ocXbqmIOfNGFgiKWPFCDT463o5h2Wa89O+VSgCcP2E4qqYX4Zbn9qK6tg3f+N0uPLdsLkociYPBlv0n8eOX9qGtywdBAL46eQS+MtqBlk4vtuw/iSaXB7e/8gme3XkMd101HZVnFSY83+lOL57bdQz/t+tLnO7RPL3nWCteqzmBO1/7FOeU5ePKs0twxdklCa/R4w/gw2NteO/wKbx3qBkf1bej5wra6PwszB6Tj/KxwzBnbAGmleTFDVcdHj8ONrpCDycONLpQ39YNjz8IAVIlbUSeFRMKc3DWyFxMHJmLccNzMDLP2uucgaCIlk4PTrZ7cNLpRqPTLf3a7kZrlxcGQYDZaIA9y4wReVaMzLOiMNeK4bkWDMu2oCDHovy/LorS8MfWTh9au7xo6/LC2e2H0+2Dy+1X/i4wGQ0wGQRYTQZkWYywmY3IMhuRZZF+tUV8bDYK8AdFeP1B+AJSY77PH4Qv9Ks/GIQ3IMIfkL4uilI12WIywGw0wGqSPpY/F0URHn8QXn8w4teA8r1i6OeQGQRpKKRBEGA0AAZBiHhEfw0AgkEgKIqhh/T6Kp+H/noVBOlhCP3dIAgCBISfkz8GBAiCfD2i8hpHXqOI6D9I0neHfx/puejPo59VK/z7hH9v9HoukVh/Fca7ith/bfZ+MtZx88YXKBs0Mo2BJUXhGx/G/wOqtYfFHwgq5022S8jjD8IfCCb9l61848N4Y/mB8C6h9tAdmxOFgQ6PX6kYFebF/8OrZWvzsVBgGZcgsEwYkQOjQYDL7Uej053wjUyurswqzU+4ZLdwUiGONndi+6FTCQNLfVs3PvjyNAQBuDpOYAGA71wwHn890ISX9h7HbVVTlCDYkyiK+OWf9yMQFHHpjCJUTuz9Rm80CPjtN2bhsjXb8Y8vW7H2vSO4ZeHEuL/3f735GbbsPwmLyYD/vXFOr2rVvAnDsfHfK7B07Qc43NSB657YhWeXzY1Z1fIFgvjNXw7g9zuOAgBmjrbj/m+co1S5AOCuq2bg+d3HsOavh3DwpAv/+r+7cdmMYtx+xTSUFWRHne/IqQ6s2/klXtxTpwTy0mFZ+KfZozG5KA+CABw91Ykdh5qx59hp1NS1oaauDb968zPMGTsMV55dgjnjCmAzG9Dk9GDf8XbsPtqC3UdOKz1fshKHDdkWI5xuP5o7PKhv60Z9Wzf+/FEDACnwn13qwKj8LORZTej2BdDo9OCLpo6kN+tscnlwoNGFHYeae/23GpFrhdVsgACpqnm6y6vqzYZosHj5+5U4dwwDy6AkV01U9bCorLC4I46LtyQkz2EBgC5fAPYkgUWusCRa8pCXhLyBILp9AWX8fywtHdK/jLMtxoTHaVkSOtYi7RAaOzw77jFWkxETCnNwqKkDBxpcCQPL3mOh5aA4/SuyC6eMwP/tOoZtB08lDGpv7JOqK/PGFyT8fSsnDsfU4jwcaHThhX/U4nsXxg4YWw+ewo5DzTAbBfz88mlxz1dWkI07r5yOn738MX779uf46pSRSqUp0jPvH8XT70vh4sHrz0H52IKY5ztrZB5e+vdKLF27G0dOdeIbT+7C/944J2rZ7MvmTvzkpY/wwZdS8/CyC8bjp5dN7bX0aTEZcNP543Ht7NF4cMvn+MPuWvzl00b87UATFkwqxIxRdnj8Qew91oo9of8egBR+vrdwIhbPLO4Vtv/z4klocrnxl08a8ed9DfjHsdPY0+P7eyrMteD8swqxYNIIXHBWYdSOsA6PHx/VtWHvsVbsrW3F3mOtcLn9CRujR+ZZMaU4D1OL8zCl2I7xhTnIMhsRFEW0dnnR0ObGF6c68MWpDhxu6sDx1m74gyIanb2DuSAAI3KtKLLbUGS3odhhRbHdhuG5VgRFqbrR3u3DKZdHenRI2/ZbOr3KUm7kufKzzBiWbUF+thn2LDPybGbk2UzICy0T+4NSRcTjl/4/7vYG4PYH4fYGpM99AbhDD68/CLNRqo6YjAIsoV+lzw2wGAWYDAaYTdLHAOANiPD6A6GqjHT93oBUTREE6c+E1WRUqi9WkyE0pwqQqxoC5EpG7EpJzyqKKEq1DqXyIgih6osUFA2CoPx/Kzeoi6J0HqlqIkZUT6I/FqKqLqEqitC7ctKr8tGjChOrMqJGrAqNUskReh/XU8zfT+z5ae+jegbpWOeJ1eyfk+Dv+77GwJIiedx+wsBi1lZhiWyItMbpjbGEyr7+oIguTyBp70WysfyAFD7MRgG+gIi2Ll/CINIcuulhYYx7CEVSKixJdgl5/UEl1CQKLAAwrcSOQ00d2N/gxEVTR8Y97sPaNgDx+1dk8ycMh8VoQH1bN440d8btofnzR1JguXrW6ITnEwQB3zl/PH6y8SP8384vseyC8b3elH2BIH715n4AwHfOH5+0N2XJeWXYvP8k/nagCT/aUIOXlldGhdk/f3QC9/5ZOt/PFk/FFWeXJDzf6Pws/Ol7FbjpmX/g4/p2fP2Jnbh8ZglmjLbj80YXNn0iNdPmWk347TfOxmUzE58vP9uCe66ZiX+dNxb3/vlTvH+4BX890IS/RuxKEgTga1NG4jsXjEflxOEJK3gj82y4oWIcbqgYh8Z2NzZ93IC3PmnAly1d8PgCKMy1YlJRLs4bV4DKiYWYWpwXt1E712pC5VmFylJVMCjiUFMHPq5vxymXB50eP7IsRgzPsWDiyFycNSJXdW+PLBgU0dzhQaPTDV8giKAo/b7Dcy0oyLZo6u2J5PUH4fYHlKWMLLMx7s9JNNQxsKQoctJtPFrnsMg7hGzm2NNzAelNUS55q9kpFO5hiR9sBEFAfrYFp1wetHZ5lbARSziwJP6LvSR0P6G2Lh+6vP64Ieh4axeCohSaRiQJQdNH2fH6vhMJZ6e0dXlxuEnadXTumPyE58u2mHDe+GF4/3ALth08FTOwHG3uxCf1ThgNQtI+F0BaMvrN2wdwot2Nv3zaiCvPjl5Cem7XMXxxqhPDcyz4wdfOSno+QRDw3//8FVSt2Y5PTzhx87P/wCPfPBf5WWY8/0Et7n79U4gicEPFWHxv4YSk5wOke0A9/915uOPVT/BazQm8+XED3vy4Qfn6gkmF+NW1M1U1+sqmFOfhD8vm4eBJF7YePIXjrV0wGw2YNDIPCycXonRY4jAaS7HDhu9cMB7fCc25SZXBIGBKcV7U0lY6zjnSbsPIONvx9ZL7Q4iIgSVlXhW7hLROuk02NE6WYzXB6farmsWipsICSOXmUy4P2pPsFDoVWhJKVmGx28zIs5rg8vhxos2Ns0bGrl7Iy0FjCrIT/ssbkCosAPBZgsBSXdcGABg3PDvmnaR7unDyCCmwfH4q5hvjn0PLQeefVahqx4nNbMS/zRuLh/56CI+9+wUumxFe+mhyupVJuf+vakrS6phspN2GtTfOwdK1H+D9wy04/7//hjybSdle/s+zR+Ouq2Ykff0i5dnMeOhfZuO7CybgrU8a0NDuRpHdhkXTizC7LF/TuWSCIGBqsR1Ti+2av5eIKB5G9xQlG80PaJ/Dkmwsv0zLLBZ5cFyiOSxAeBZLsp1CzaE3ycIEW5plo1T0sXwpN9yq+Nf89FBgOdrcGfdOy9Uq+1dk8pj+3UdbYk6WlZs1r0qy1BLphoqxcGSZ8VmDE8+8/yUAaengpxs/QofHj1ll+fiX88oSn6SH8rEFePF7FZhanIduXwBNLg9yrSb8/PKpuP/6WQl3ECUyc7QDP750Kh64/hz89LKpOHfMMF1hhYior7DCkiJ1Tbf6elji3fhQFp7FoiawqKuwOFROu1XbwwIAo/JtOHjSlTCwKA23hcmXDEaEtn42d3hwsNGF2TF6VPYmmb/S0+SiXBTbbWh0urH981OomhFe9vnoeBsOnnTBYjREPZ/M8FwrfnrZVPz8lY/x3385AH9QxP4GJ949eApWkwGr/+kruvoRZo524K0VC3Cg0YVOjx/TR9kT9hsREQ0FrLCkqC96WDRXWDQtCamtsCSedisHlhFJelgAoERpvI2/tVne0jy2QF2/xPRRUpUlVh9LICiiJtRwG2/CbU+CIOCqWVL1ZOOH0VNlnw/NSVn8leKoUfxqfHNuGa4rL0UgKOK+vxzAG/tOwGgQ8D/fmKX8DHoIgoBpJXbMGVfAsEJEZwQGlhTJu4TS28OSeAaLTN5epqbComZwHAAMk2+AmORuyM2hHhY1/SFqtjbLFZZxSXYIyaaFBsHF6mP5/KQLnd4Acq2mmNt/4/l6aKz+3w40KUPxTnd68VqN1L8SOYVWLUEQ8Juvn417r5mBueMKsGh6EV64ZT6unhV/jgsREfXGf5qlqE/msCi7hJJUWEJLQmoqLM7u5HNYACjbOU93pndJCIgfWAJBEXWt8pKQygpLqI/l4+Ptvb4mz185pyxfU0/H1GI7Zo/JR3VtG57c9gXuvHI6Hn/3MLp9AcwYZcfc8bHnmiRjMAjKFl0iItKHFZYUqbv5ocYeFpWBJSe0JJSswiKKIjo8ySfdAkBBaNpta1eSCotL3bZmABjlSFxhOdEm3aXZYop/l+ae5KWeT084e/38HxyVBoKpbbiNdOslkwFId0/+1Z/3K4PYbrt0CptQiYj6EQNLiuR7CSUczS8PjlO7SyjJjQ9lcu9CZ5IbIHZ6AwiGBhYm62EpUCos8QNLtzeg/J6adgm1u2NOTpSXg8qGZaluQi0dlo1RDhv8QRHVoX4VQNqF8/5haWT6+ROHqzpXpIWTCnHNOaMQCIr43/eOIigC15WX4qIp8QfUERFR32NgSZGaplv5a56A1qbbxP95ckLj+buS3ABR7l8xGwXYkpxTDiyJKizycpDFZFDGgSdS7LBBEKTls5YYQejYafVbmiOdF1qikSsqgHRTxJZOL7Itxpi7h5IRBAG/ue5s/MdFZ+G8ccPwo0sm47//+Suaz0NEROnFHpYUeeWm24Sj+bXNYVHdw6KywhK5QyjZsobSw9KRPLCMyLWqWiYxGw0YmWfFSacHJ9q6e/W9HDkV2iGkNbCMK8BrNSew60gLfhR6btvnpwAAc8cX6J4QajUZcdulU3R9LxER9Q1WWFKkDI5L8OaotYdF/aRbdT0scsNtsh1CADA8FFhcHn/cbdjNypRb9fdbSTQ8Th6hH28KbjwXTh4BANjz5WklRL35sbSjZ9H0Ik3nIiKigY2BJUV9sUtIbdOtUmFJsktI7Vh+QNpFJLeRtMVZFtKyQ0gWDiy9Z7HoDSxlBdn4ymgHgiLw1ieNOHTSpdzvZ3GSm/UREdHgwsCSonAPS6LR/Fpvfigdl65dQvJY/jxr8qFnBoOAYaGdQqfjBRaX9sAiz2I53hpdYeny+lEfqrpoDSwAcM050jyTtTuO4H/ePggAuGTaSFX3+yEiosGDgSVFPhXbmrUOjlPbdKt2DouWCguQvI9FqbDkqQ8F40PzVb441RH1vNy/UpBj0RUyvjl3DIbnWPBlSxc27z8JgwD8x0WTNJ+HiIgGNgaWFHlVTLrV3MPiTe8cFjmwJLvxoUzZ2hx3SSg05TZHfYVlUqh6Ii//yJTloBHaqyuAdD+lR745G3abCWajgF9cOR1fKXXoOhcREQ1cmgPL9u3bcdVVV2HUqFEQBAGvvvpq0u/Ztm0bysvLYbPZMGHCBDz55JO9jtm4cSOmT58Oq9WK6dOn45VXXtF6af3Cp6aHResuIX9657A4VY7llynD4+LMYjnVof5OzTJ5uae+rRudEduwDzW5AAATdSwHySrPKsSeOxah+hdVuOn88brPQ0REA5fmwNLZ2YlZs2bh0UcfVXX80aNHcfnll2PBggWorq7Gz3/+c/zwhz/Exo0blWN27dqFJUuWYOnSpdi3bx+WLl2K66+/Hrt379Z6eRmnZdKtV+0cFrUVFo1zWJINjZMlG88fbrpVv4STn21Rel4il4U+qZfuBZTKjQABqcKVq2ImDBERDU6a/4ZfvHgxFi9erPr4J598EmPGjMGaNWsAANOmTcOePXvw29/+Fl//+tcBAGvWrMGiRYuwatUqAMCqVauwbds2rFmzBuvXr9d6iRmlNN0mmHSr9LD41G5rVtd0K1dYunwBBINi3CmxypKQ2gpLjhRsTnd6Yn79ZOiuy8Uqx+jLJo3MRXOHB5+f7MDZpfkQRREf10v3AvrKaC7jEBFRfH3ew7Jr1y5UVVVFPXfppZdiz5498Pl8CY/ZuXNn3PN6PB44nc6oR3+Qd/5YjPHDhVXz3Zq1zWERxfAyUixam24LQr0pp7t6V1g6PH5lCapIY2CZUizdOfnTE1JIOdHuxulOL0wGAVOL1d9VmYiIzjx9HlgaGxtRVBQ9xKuoqAh+vx/Nzc0Jj2lsbIx73tWrV8PhcCiPsrKy9F+8CuFdQom2NYfnsMS6l05P4Tksif/z2ExGyINmE+0U0rokJFdYYvWwnHRK1ZU8qwk5Gpdg5JsRfhi6m3J1rfTr5KK8pNUkIiI6s2Vkl1DP8e3ym3bk87GOSTT2fdWqVWhvb1cedXV1abxi9bxqJt1GBA9fIHlgUVthMRgEZJuT7xRydmvc1hxqupV7VSLJgWWkXX3DrezcMfkApDssd3sDeP9wCwBg/gTtNykkIqIzS593KRYXF/eqlDQ1NcFkMmH48OEJj+lZdYlktVphtWp/00w3nz/5vYQiv+bxB5Le40btpFtAmsXS6Q2oqrDYVVZYRuZJSz2JAovW5SBAGh5X4rChod2NnV80Y8ch6b4/F0xiYCEiosT6vMJSUVGBLVu2RD23efNmzJkzB2azOeExlZWVfX15KVMzOM5qigwsiftYRFFU3XQLqJvForWHpShUPWnu8Co/n+ykUwoxWhtuAamKdumMYgDAz1/5GMdbu5FtMbLCQkRESWkOLB0dHaipqUFNTQ0AadtyTU0NamtrAUhLNTfccINy/PLly3Hs2DGsXLkSn332GZ5++mmsXbsWt912m3LMihUrsHnzZtx33304cOAA7rvvPrzzzju49dZbU/vpMsCr7BKK/1IKgqB62m3k15PNYQGSz2IJBkV0eMN3a1ZjWLZF6ck55YqusoSXhLQHFgD453NHh84jnfeac0YpPwMREVE8mgPLnj17MHv2bMyePRsAsHLlSsyePRu/+MUvAAANDQ1KeAGA8ePHY9OmTdi6dSvOOecc/PKXv8TDDz+sbGkGgMrKSrzwwgt45plncPbZZ2PdunXYsGED5s2bl+rP1+fUNN0C6u8n1B0RPGxJlo6A5LNYOrx+yH2+aissBoOgLAvJAUUWXhLStxx3dmk+bqgYC0BaIvrRJZN1nYeIiM4smv9p+9WvfjXhTpd169b1eu7CCy/Ehx9+mPC81113Ha677jqtl9PvwtuaE4cLq8kAF5KP55e3J5uNAkxJzglA2akTr8Li7PYp16dlJ85IuxX1bd1KJUQmf66nh0V2z9Uz8N0FEzAiz8rdQUREpApr8SkIBEUEQ9ktUQ8LELG1Ocl4frVTbmU58vC4OD0sWvtXZEWhCkuTK7rC0tiuv+lWJggCygqydX8/ERGdeXjzwxRENqQm2/mjdnicloZbAMgO9bl0xFkS0h1YQks+kUtCvkAQDe3dAICyYVmazkdERJQKBpYURN4bKFmFxaK2h0XlDBaZsiQUN7CEtjSrvFOzTG6qjVwSamhzIyhKP4t8XyAiIqJMYGBJQWT4UNt0m6yHxaNyyq1Mvj+QXEnpSW+FZWRe7wpLXWsXAKB0WFbc+xYRERH1BQaWFETuEEo0lReIHs+fiNYKi7xVOV5gccpj+a3aKiyj86Uln/rWbuW546HAUjaM/SdERJRZDCwpkKfcJlsOAsLj+ZNVWOTAYlUdWKTKibwbqCe9FZYxw6VQUtfahUCos7jutBReStm/QkREGcbAkgI1Q+NkauewyE23aa+wqBwaJytxZMFiNMAXEHGiTQoq8pIQd/gQEVGmMbCkQM1YfpnaSbfal4RCFRZ3eissRoOA0gKpklJ7Wgoqh5s6AADjC3M0nYuIiChVDCwpkKslZhUNqGrnsGhtus1L0nTb3q1vlxAAjA1VUr5s6UQgKCqBZXJRnuZzERERpYKBJQU+HUtCSXtYQoPj1NxHCIhcEopdYWnvkp4flq09sIwLVVKOnOpE3ekuePxBWE0GjOGSEBERZRgDSwr09LCoXRKSKzLJyNuaOzz+mLdMkCss+ToCy/QSOwDg4/p2HGh0AgAmjsiFkVuaiYgowxhYUuALqN8lpHZwnNJ0q7HCEhRj30+ordsLAHBkWVSdL9KssnwAwCf17fjgaCsA4Jwx+ZrPQ0RElCoGlhT4/OqbbvtqDovNbIApVPGItSzU1qW/wjJxRC5yLEZ0eQN4+v2jAIA5Y4dpPg8REVGqGFhSoCwJqQosfTPpVhAEpaG2Z+OtPxBUnsvX0XRrNAj46pSRUZ8vmDRC83mIiIhSxcCSAmVbs0nFLiF5cFyyuzVrrLAA8YfHOSMCjENHYAGAb84do3x82YxijMjjPYSIiCjztA3noChyP4q6CktoSSigsulWR2DpWWFp65L6V/KsJphUXGMsF0wqxEP/cg6ONnfi25XjdZ2DiIgoVQwsKdDTdJuswuLWU2EJ3Seo5/C4tlDFxaGjfyXSNeeMTun7iYiIUsUloRSEl4TSOIdF42h+IH6FJZUtzURERAMJA0sKdC0JJdklFG661RJYYjfdykPj8nVsaSYiIhpIGFhS4FXuJaRmNL+6OSxK061F/X8ae1bs+wnJPSypLgkRERH1NwaWFGgZza/65odebZNuAWBYtlRBkQOKTO5h0bOlmYiIaCBhYEmBlrs1q+1hUZpuVU66BcL3CTrd2SOwpDA0joiIaCBhYEmBvEtIVQ+LWd3dmuXR/Fp6WIblSBWW1q7oJaHWUMWFPSxERDTYMbCkwKtpNH+ohyXBHJZAUFS+rmWXUEFoSai1R4WlpUP6vDCPgYWIiAY3BpYUeDUsCYXnsMRfEnJHfE1LYAlXWKIDS3OHBwAwPIfTaYmIaHBjYEmBfPNDNU23VhVNt5GBxarinLKCiCWhYFBUnm+WKyy5DCxERDS4MbCkwKdpW3N4DosoijGPkbc0W0wGGAzJzymTm2oDQVGZxRIIijjdKVVYCnO5JERERIMbA0sKlKZbNRWWiLsvy9/Xk7ylOVvDDiFACkM5oe85HVoWauvyQi62yEtGREREgxUDSwo8GppuI3cSxdva3CUHFg39KzI5lMhbm+XloGHZZlXXR0RENJDxnSwFeuawAPH7WOTAomUGi0zpYwkFlha54Zb9K0RENAQwsKRAy6RbQRCSTrvt9kn9J9kW7TfRlqfdtoT6Vk4pO4S4HERERIMfA0sKlMCioukWSH4/oVQqLMV2GwDgpNMT+tUNACgKPU9ERDSYMbCkwBtqnlXbI5JsPH+XzqZbACh2SMGkoV0KKifapF9H5WdpPhcREdFAw8CSAi2TboGIrc1xxvPLu4RydCwJlYQCS2N7NwDgRJv06+h8VliIiGjwY2BJgZamWyD58LiUloR6VlhCwaXEwQoLERENfgwsKdDSdBt5XLwloW6v3HSrPbDIwaQx1LvSwCUhIiIaQhhYUqCM5tdYYemTpttQhaWty4dTLg9aQtubRzOwEBHREMDAkgKl6dakdpdQeDx/LF0+eXCc9h4WR5ZZmcXyzmcnAUgj+R2hsf1ERESDGQNLCryhpR3VPSzmJLuEPPqXhABg0shcAMCmjxsAABNH5Oo6DxER0UDDwJIC5V5CWptu4+wSSmVJCAAmF+UBAHYcagYATCpiYCEioqFBV2B5/PHHMX78eNhsNpSXl2PHjh1xj73pppsgCEKvx4wZM5Rj1q1bF/MYt9ut5/IyRm/TrTcQb9Kt/jksADB9lD3q8/Kxw3Sdh4iIaKDRHFg2bNiAW2+9Fbfffjuqq6uxYMECLF68GLW1tTGPf+ihh9DQ0KA86urqUFBQgG984xtRx9nt9qjjGhoaYLMN3BkiwaAIf1Dr4LjEc1hSGRwHABdOHhH1ecWEQl3nISIiGmg0B5YHHngAy5Ytw80334xp06ZhzZo1KCsrwxNPPBHzeIfDgeLiYuWxZ88etLa24tvf/nbUcYIgRB1XXFys7yfKEF8wHDrMGkfzJ5t0m6VjcBwgbWH+53NHAwC+UV6q7BwiIiIa7DQFFq/Xi71796Kqqirq+aqqKuzcuVPVOdauXYtLLrkEY8eOjXq+o6MDY8eORWlpKa688kpUV1cnPI/H44HT6Yx6ZFLk1uR0DY6T57Dk6KywAMD935iFHT+5CL+57mzd5yAiIhpoNAWW5uZmBAIBFBUVRT1fVFSExsbGpN/f0NCAt956CzfffHPU81OnTsW6devw+uuvY/369bDZbDj//PNx6NChuOdavXo1HA6H8igrK9Pyo6RMbrgF1Dfd2kJBRB7B31OqTbeAVKkqK8iGIKir+hAREQ0Guppue74ZiqKo6g1y3bp1yM/Px7XXXhv1/Pz58/Gtb30Ls2bNwoIFC/Diiy9i8uTJeOSRR+Kea9WqVWhvb1cedXV1en4U3eSGW5NBgMGgLhzI81U64wSWbqWHRd+SEBER0VCl6Z2xsLAQRqOxVzWlqampV9WlJ1EU8fTTT2Pp0qWwWCwJjzUYDDjvvPMSVlisViusVqv6i08zrTc+BMLNtPLSTyRRFMOD41KosBAREQ1FmiosFosF5eXl2LJlS9TzW7ZsQWVlZcLv3bZtGw4fPoxly5Yl/X1EUURNTQ1KSkq0XF5GhW98qH7pJdsqBZGuGBUWbyCIQGjXUSpLQkREREOR5rWHlStXYunSpZgzZw4qKirw1FNPoba2FsuXLwcgLdXU19fj2Wefjfq+tWvXYt68eZg5c2avc95zzz2YP38+Jk2aBKfTiYcffhg1NTV47LHHdP5Yfc+rcQYLEK6cxAoskX0t2WYGFiIiokiaA8uSJUvQ0tKCe++9Fw0NDZg5cyY2bdqk7PppaGjoNZOlvb0dGzduxEMPPRTznG1tbbjlllvQ2NgIh8OB2bNnY/v27Zg7d66OHykzfH5tM1iAcG9KV4wlITnEWIwGmDSck4iI6Eygq7vz+9//Pr7//e/H/Nq6det6PedwONDV1RX3fA8++CAefPBBPZfSb9JdYUnHDiEiIqKhiv+U1yncw5LeJSE23BIREfXGwKKTvsAiLwn1DiwdoTs151i5pZmIiKgnBhad5G3NFi27hJQKS+8els5QYMllYCEiIuqFgUWnVCos3b4AgkEx6msdDCxERERxMbDo5A2N5tfTdCuKgLvHDRBdDCxERERxMbDo5NMx6TYrYr5Kzz6WTvawEBERxcXAopOeJSGDQVBCS88bIHa4pcCSZ2NgISIi6omBRafwHBZtd0WWl4U6ezTehncJcVszERFRTwwsOum5+SEQHgzXc0ko3HRrTsPVERERDS0MLDr55KZbjYElR57F4om9JJTLCgsREVEvDCw6KT0sGnYJAZEVlthLQrnsYSEiIuqFgUUnObBorrCEKijdPi4JERERqcXAolO4h0Vb022WWaqgdPZcEmLTLRERUVwMLDp5dWxrBuKP55fnsOSxwkJERNQLA4tOypKQxh4WeTCcXFGRyU23rLAQERH1xsCik88v7RLSWmGxZ0mBxeUOBxZRFNHhZdMtERFRPAwsOulturXbpCUfl9unPNflDUAM3QuR9xIiIiLqjYFFJ09AX9OtPVRBcXaHKyzOUHgxRozuJyIiojAGFp2Umx9q7GHJkyssnnCFpa1L+jg/ywxB0BaAiIiIzgQMLDrpXRLKi1Fhae+WAosjizuEiIiIYmFg0UkZza+xwmLP6t3DIgcWOwMLERFRTAwsOumdwyJXWCJ3CcmBJT+bgYWIiCgWBhad9N6tWd4l5HT7IIa2BrV3cUmIiIgoEQYWneTAonVJSK6w+AIiPKFzsIeFiIgoMQYWnbx6b35oMUHeCCRvZ1aWhBhYiIiIYmJg0UlvhcVgEJBnjd4p1MamWyIiooQYWHTy+KW7LVs1BhYgPIulV4Ul25KmqyMiIhpaGFh0kissegJLQY4UTNq6vACA9tCv7GEhIiKKjYFFJ71LQgAwPFcKLM0d3qhf5eeJiIgoGgOLTkrTrZ7AkmMFALR0eCGKIpo7PACAEbnW9F0gERHREMLAokMwKIYn3WrcJQQAhaFKSkuHBy6PX9neXMjAQkREFBMDiw5ydQVIbUmopdOLZpdUXcmxGJFl4Z2aiYiIYmFg0UGuiACpLQk1d3iU/pUReayuEBERxcPAooM3MrDoWBJSKiwdXqV/hctBRERE8TGw6BDZcCvIY2s1kMPJqQ4PGtrdAIAiuy19F0hERDTEMLDooMxg0VFdAYDR+VkAgFMuDw43uQAApQVZ6bk4IiKiIYiBRYdUZrAAQH62WRnPv/OLFgBA2bDs9FwcERHREMTAooM8ll9vYBEEAWOGSwHlWEsXAKCsgIGFiIgoHgYWHVIZyy8b0yOgTByRk9I1ERERDWUMLDqkuiQEAF8pdSgfD8s2K30tRERE1Juud9zHH38c48ePh81mQ3l5OXbs2BH32K1bt0IQhF6PAwcORB23ceNGTJ8+HVarFdOnT8crr7yi59IywpPCWH5Z5cTC8MdnFerabURERHSm0PyOu2HDBtx66624/fbbUV1djQULFmDx4sWora1N+H0HDx5EQ0OD8pg0aZLytV27dmHJkiVYunQp9u3bh6VLl+L666/H7t27tf9EGaBUWHTuEgKAWaUOfHPuGHxltAMrLp6U/BuIiIjOYIIoiqKWb5g3bx7OPfdcPPHEE8pz06ZNw7XXXovVq1f3On7r1q246KKL0Nraivz8/JjnXLJkCZxOJ9566y3lucsuuwzDhg3D+vXrVV2X0+mEw+FAe3s77Ha7lh9Jszf2ncB/rq/G/AkFeOGWij79vYiIiIYyte/fmkoEXq8Xe/fuRVVVVdTzVVVV2LlzZ8LvnT17NkpKSnDxxRfj3Xffjfrarl27ep3z0ksvTXhOj8cDp9MZ9cgUj9LDwnv/EBERZYKmwNLc3IxAIICioqKo54uKitDY2Bjze0pKSvDUU09h48aNePnllzFlyhRcfPHF2L59u3JMY2OjpnMCwOrVq+FwOJRHWVmZlh8lJenYJURERETqmfR8U88GUVEU4zaNTpkyBVOmTFE+r6ioQF1dHX77299i4cKFus4JAKtWrcLKlSuVz51OZ8ZCizfFOSxERESkjaZ33MLCQhiNxl6Vj6ampl4VkkTmz5+PQ4cOKZ8XFxdrPqfVaoXdbo96ZIp8LyG9o/mJiIhIG03vuBaLBeXl5diyZUvU81u2bEFlZaXq81RXV6OkpET5vKKiotc5N2/erOmcmZSOOSxERESknuYloZUrV2Lp0qWYM2cOKioq8NRTT6G2thbLly8HIC3V1NfX49lnnwUArFmzBuPGjcOMGTPg9Xrxhz/8ARs3bsTGjRuVc65YsQILFy7Efffdh2uuuQavvfYa3nnnHbz33ntp+jHTy8PAQkRElFGaA8uSJUvQ0tKCe++9Fw0NDZg5cyY2bdqEsWPHAgAaGhqiZrJ4vV7cdtttqK+vR1ZWFmbMmIE333wTl19+uXJMZWUlXnjhBdxxxx248847MXHiRGzYsAHz5s1Lw4+YfumYw0JERETqaZ7DMlBlcg7L3a9/inU7v8QPLpqIH186tU9/LyIioqGsT+awkERuurUYOYeFiIgoExhYdGDTLRERUWbxHVcHBhYiIqLM4juuDh4OjiMiIsoovuPqoIzm5y4hIiKijOA7rg7KpFszXz4iIqJM4DuuDpzDQkRElFl8x9WBTbdERESZxXdcHTian4iIKLP4jqsDl4SIiIgyi++4OsgVFquZk26JiIgygYFFh/Bofr58REREmcB3XB3YdEtERJRZfMfVQZ50a2VgISIiygi+42okimJEDwtfPiIiokzgO65G3kAQoih9bGPTLRERUUYwsGgkV1cALgkRERFlCt9xNXL7pP4VQeAuISIiokzhO65GHl+of8VkgCAI/Xw1REREZwYGFo3kHULsXyEiIsocBhaN3KEKi83EwEJERJQpDCwayT0s3NJMRESUOXzX1UjeJcQKCxERUeYwsGgkV1hsrLAQERFlDN91NVKm3LLCQkRElDEMLBqxh4WIiCjz+K6rkdvHCgsREVGmMbBoFJ7DwpeOiIgoU/iuq5Eyh4WD44iIiDKGgUUjpYeFNz4kIiLKGL7raqTMYWGFhYiIKGMYWDTiHBYiIqLM47uuRpzDQkRElHkMLBp5WGEhIiLKOL7rauT2y023rLAQERFlCgOLRh5lWzNfOiIiokzhu65GbmVwHCssREREmcLAolF4ND9fOiIiokzhu65G8mh+KyssREREGcPAohErLERERJmn61338ccfx/jx42Gz2VBeXo4dO3bEPfbll1/GokWLMGLECNjtdlRUVODtt9+OOmbdunUQBKHXw+1267m8PuVhDwsREVHGaQ4sGzZswK233orbb78d1dXVWLBgARYvXoza2tqYx2/fvh2LFi3Cpk2bsHfvXlx00UW46qqrUF1dHXWc3W5HQ0ND1MNms+n7qfqQcvNDbmsmIiLKGJPWb3jggQewbNky3HzzzQCANWvW4O2338YTTzyB1atX9zp+zZo1UZ//+te/xmuvvYY33ngDs2fPVp4XBAHFxcVaLyfjlJsfclszERFRxmh61/V6vdi7dy+qqqqinq+qqsLOnTtVnSMYDMLlcqGgoCDq+Y6ODowdOxalpaW48sore1VgevJ4PHA6nVGPTJADSxaXhIiIiDJGU2Bpbm5GIBBAUVFR1PNFRUVobGxUdY77778fnZ2duP7665Xnpk6dinXr1uH111/H+vXrYbPZcP755+PQoUNxz7N69Wo4HA7lUVZWpuVH0cUXCMIXEAEA2RYGFiIiokzRta4hCELU56Io9noulvXr1+Puu+/Ghg0bMHLkSOX5+fPn41vf+hZmzZqFBQsW4MUXX8TkyZPxyCOPxD3XqlWr0N7erjzq6ur0/CiadIeqKwCQxcBCRESUMZp6WAoLC2E0GntVU5qamnpVXXrasGEDli1bhj/96U+45JJLEh5rMBhw3nnnJaywWK1WWK1W9RefBt1eKbAYBMBiZA8LERFRpmh617VYLCgvL8eWLVuint+yZQsqKyvjft/69etx00034fnnn8cVV1yR9PcRRRE1NTUoKSnRcnl9Tg4s2RaTqooSERERpYfmXUIrV67E0qVLMWfOHFRUVOCpp55CbW0tli9fDkBaqqmvr8ezzz4LQAorN9xwAx566CHMnz9fqc5kZWXB4XAAAO655x7Mnz8fkyZNgtPpxMMPP4yamho89thj6fo506IrFFi4HERERJRZmgPLkiVL0NLSgnvvvRcNDQ2YOXMmNm3ahLFjxwIAGhoaomay/O53v4Pf78cPfvAD/OAHP1Cev/HGG7Fu3ToAQFtbG2655RY0NjbC4XBg9uzZ2L59O+bOnZvij5de3T4/AO4QIiIiyjRBFEWxvy8iHZxOJxwOB9rb22G32/vk93jvUDO+tXY3phbn4S+3LuyT34OIiOhMovb9m52jGnR5QxUWLgkRERFlFAOLBt0cGkdERNQvGFg0CO8SYmAhIiLKJAYWDcK7hDT3KhMREVEKGFg0CC8J8WUjIiLKJL7zahA5OI6IiIgyh4FFA3lJyMamWyIiooxiYNFAHhzHplsiIqLMYmDRgLuEiIiI+gcDiwZcEiIiIuofDCwayLuEWGEhIiLKLAYWDbgkRERE1D8YWDTo5JIQERFRv2Bg0aDTI+0SyrNxDgsREVEmMbBo0BEKLLlWcz9fCRER0ZmFgUUDJbCwwkJERJRRDCwqefwBeP1BAEAuR/MTERFlFAOLSp2egPJxjpVNt0RERJnEwKKS3HCbZTbCZOTLRkRElEl851XJ5ZYCS46Vy0FERESZxsCiUqeXW5qJiIj6CwOLSh1ueUszAwsREVGmMbCoJG9pZsMtERFR5jGwqMShcURERP2HgUWl8JIQKyxERESZxsCiUnhJiD0sREREmcbAolJ7tw8A4MjikhAREVGmMbCoJAeW/GwGFiIiokxjYFGprcsLAMjPsvTzlRAREZ15GFhUamOFhYiIqN8wsKjU1iUHFlZYiIiIMo2BRSVlSYgVFiIiooxjYFEhGBTDTbfcJURERJRxDCwquDx+BEXpYzsDCxERUcYxsKggLwfZzAbYzJx0S0RElGkMLCo0d3gAAIW51n6+EiIiojMTA4sKJ51SYBmZx8BCRETUHxhYVGhyugEARXZbP18JERHRmYmBRYUmFyssRERE/YmBRQVlSYgVFiIion6hK7A8/vjjGD9+PGw2G8rLy7Fjx46Ex2/btg3l5eWw2WyYMGECnnzyyV7HbNy4EdOnT4fVasX06dPxyiuv6Lm0PlF3ugsAUDosq5+vhIiI6MykObBs2LABt956K26//XZUV1djwYIFWLx4MWpra2Mef/ToUVx++eVYsGABqqur8fOf/xw//OEPsXHjRuWYXbt2YcmSJVi6dCn27duHpUuX4vrrr8fu3bv1/2RpdKS5EwAwvjCnn6+EiIjozCSIoihq+YZ58+bh3HPPxRNPPKE8N23aNFx77bVYvXp1r+N/+tOf4vXXX8dnn32mPLd8+XLs27cPu3btAgAsWbIETqcTb731lnLMZZddhmHDhmH9+vWqrsvpdMLhcKC9vR12u13Lj5RQW5cX59y7BQDw0d1VsNs4OI6IiChd1L5/a6qweL1e7N27F1VVVVHPV1VVYefOnTG/Z9euXb2Ov/TSS7Fnzx74fL6Ex8Q7JwB4PB44nc6oR7qJooj1H9QBACaMyGFYISIi6ieaAktzczMCgQCKioqini8qKkJjY2PM72lsbIx5vN/vR3Nzc8Jj4p0TAFavXg2Hw6E8ysrKtPwoqvgCIv7w92MAgEXTi5IcTURERH1FV9OtIAhRn4ui2Ou5ZMf3fF7rOVetWoX29nblUVdXp/r61bKYDPjJZVOw/MKJWLloctrPT0REROqYtBxcWFgIo9HYq/LR1NTUq0IiKy4ujnm8yWTC8OHDEx4T75wAYLVaYbX2/VyUa84ZjWvO6fPfhoiIiBLQVGGxWCwoLy/Hli1bop7fsmULKisrY35PRUVFr+M3b96MOXPmwGw2Jzwm3jmJiIjozKKpwgIAK1euxNKlSzFnzhxUVFTgqaeeQm1tLZYvXw5AWqqpr6/Hs88+C0DaEfToo49i5cqV+O53v4tdu3Zh7dq1Ubt/VqxYgYULF+K+++7DNddcg9deew3vvPMO3nvvvTT9mERERDSYaQ4sS5YsQUtLC+699140NDRg5syZ2LRpE8aOHQsAaGhoiJrJMn78eGzatAk/+tGP8Nhjj2HUqFF4+OGH8fWvf105prKyEi+88ALuuOMO3HnnnZg4cSI2bNiAefPmpeFHJCIiosFO8xyWgaqv5rAQERFR3+mTOSxERERE/YGBhYiIiAY8BhYiIiIa8BhYiIiIaMBjYCEiIqIBj4GFiIiIBjwGFiIiIhrwGFiIiIhowGNgISIiogFP82j+gUoe2Ot0Ovv5SoiIiEgt+X072eD9IRNYXC4XAKCsrKyfr4SIiIi0crlccDgccb8+ZO4lFAwGceLECeTl5UEQhLSd1+l0oqysDHV1dbxHUR/i65w5fK0zg69zZvB1zoy+fJ1FUYTL5cKoUaNgMMTvVBkyFRaDwYDS0tI+O7/dbuf/DBnA1zlz+FpnBl/nzODrnBl99TonqqzI2HRLREREAx4DCxEREQ14DCxJWK1W3HXXXbBarf19KUMaX+fM4WudGXydM4Ovc2YMhNd5yDTdEhER0dDFCgsRERENeAwsRERENOAxsBAREdGAx8BCREREAx4DC4DHH38c48ePh81mQ3l5OXbs2JHw+G3btqG8vBw2mw0TJkzAk08+maErHdy0vM4vv/wyFi1ahBEjRsBut6OiogJvv/12Bq928NL651n2/vvvw2Qy4ZxzzunbCxxCtL7WHo8Ht99+O8aOHQur1YqJEyfi6aefztDVDl5aX+c//vGPmDVrFrKzs1FSUoJvf/vbaGlpydDVDk7bt2/HVVddhVGjRkEQBLz66qtJvyfj74XiGe6FF14QzWaz+Pvf/17cv3+/uGLFCjEnJ0c8duxYzOOPHDkiZmdniytWrBD3798v/v73vxfNZrP40ksvZfjKBxetr/OKFSvE++67T/zggw/Ezz//XFy1apVoNpvFDz/8MMNXPrhofZ1lbW1t4oQJE8Sqqipx1qxZmbnYQU7Pa3311VeL8+bNE7ds2SIePXpU3L17t/j+++9n8KoHH62v844dO0SDwSA+9NBD4pEjR8QdO3aIM2bMEK+99toMX/ngsmnTJvH2228XN27cKAIQX3nllYTH98d74RkfWObOnSsuX7486rmpU6eKP/vZz2Ie/5Of/EScOnVq1HPf+973xPnz5/fZNQ4FWl/nWKZPny7ec8896b60IUXv67xkyRLxjjvuEO+66y4GFpW0vtZvvfWW6HA4xJaWlkxc3pCh9XX+n//5H3HChAlRzz388MNiaWlpn13jUKMmsPTHe+EZvSTk9Xqxd+9eVFVVRT1fVVWFnTt3xvyeXbt29Tr+0ksvxZ49e+Dz+frsWgczPa9zT8FgEC6XCwUFBX1xiUOC3tf5mWeewRdffIG77rqrry9xyNDzWr/++uuYM2cOfvOb32D06NGYPHkybrvtNnR3d2fikgclPa9zZWUljh8/jk2bNkEURZw8eRIvvfQSrrjiikxc8hmjP94Lh8zND/Vobm5GIBBAUVFR1PNFRUVobGyM+T2NjY0xj/f7/WhubkZJSUmfXe9gped17un+++9HZ2cnrr/++r64xCFBz+t86NAh/OxnP8OOHTtgMp3Rfx1ooue1PnLkCN577z3YbDa88soraG5uxve//32cPn2afSxx6HmdKysr8cc//hFLliyB2+2G3+/H1VdfjUceeSQTl3zG6I/3wjO6wiITBCHqc1EUez2X7PhYz1M0ra+zbP369bj77ruxYcMGjBw5sq8ub8hQ+zoHAgH867/+K+655x5Mnjw5U5c3pGj5Mx0MBiEIAv74xz9i7ty5uPzyy/HAAw9g3bp1rLIkoeV13r9/P374wx/iF7/4Bfbu3Yu//OUvOHr0KJYvX56JSz2jZPq98Iz+J1VhYSGMRmOvpN7U1NQrOcqKi4tjHm8ymTB8+PA+u9bBTM/rLNuwYQOWLVuGP/3pT7jkkkv68jIHPa2vs8vlwp49e1BdXY3/+I//ACC9qYqiCJPJhM2bN+NrX/taRq59sNHzZ7qkpASjR4+Gw+FQnps2bRpEUcTx48cxadKkPr3mwUjP67x69Wqcf/75+PGPfwwAOPvss5GTk4MFCxbgV7/6FavgadIf74VndIXFYrGgvLwcW7ZsiXp+y5YtqKysjPk9FRUVvY7fvHkz5syZA7PZ3GfXOpjpeZ0BqbJy00034fnnn+f6swpaX2e73Y6PP/4YNTU1ymP58uWYMmUKampqMG/evExd+qCj58/0+eefjxMnTqCjo0N57vPPP4fBYEBpaWmfXu9gped17urqgsEQ/dZmNBoBhCsAlLp+eS/ss3beQULeMrd27Vpx//794q233irm5OSIX375pSiKovizn/1MXLp0qXK8vJXrRz/6kbh//35x7dq13NasgtbX+fnnnxdNJpP42GOPiQ0NDcqjra2tv36EQUHr69wTdwmpp/W1drlcYmlpqXjdddeJn376qbht2zZx0qRJ4s0339xfP8KgoPV1fuaZZ0STySQ+/vjj4hdffCG+99574pw5c8S5c+f2148wKLhcLrG6ulqsrq4WAYgPPPCAWF1drWwfHwjvhWd8YBFFUXzsscfEsWPHihaLRTz33HPFbdu2KV+78cYbxQsvvDDq+K1bt4qzZ88WLRaLOG7cOPGJJ57I8BUPTlpe5wsvvFAE0Otx4403Zv7CBxmtf54jMbBoo/W1/uyzz8RLLrlEzMrKEktLS8WVK1eKXV1dGb7qwUfr6/zwww+L06dPF7OyssSSkhLx3/7t38Tjx49n+KoHl3fffTfh37kD4b1QEEXWyIiIiGhgO6N7WIiIiGhwYGAhIiKiAY+BhYiIiAY8BhYiIiIa8BhYiIiIaMBjYCEiIqIBj4GFiIiIBjwGFiIiIhrwGFiIiIhowGNgISIiogGPgYWIiIgGPAYWIiIiGvD+P3bh5cpQGNDCAAAAAElFTkSuQmCC\n"
      },
      "metadata": {}
     }
@@ -358,14 +358,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import scipy.io.savemet as savemat\n",
+    "import scipy.io\n",
     "\n",
-    "savemat(\"Duffing_fitRandomSample.mat\", {\"x\": results_test_np})"
+    "scipy.io.savemat(\"Duffing_fitRandomSample.mat\", {\"x\": results_test_np})"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/examples/ode/SEIR/SEIRTest_fit.ipynb b/examples/ode/SEIR/SEIRTest_fit.ipynb
index df78ba4b..23b7827b 100644
--- a/examples/ode/SEIR/SEIRTest_fit.ipynb
+++ b/examples/ode/SEIR/SEIRTest_fit.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -25,7 +25,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -62,7 +62,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -81,7 +81,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -99,7 +99,7 @@
       ]
      },
      "metadata": {},
-     "execution_count": 6
+     "execution_count": 5
     }
    ],
    "source": [
@@ -108,14 +108,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:52:57.564743</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"md0b30dfe9d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#md0b30dfe9d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#md0b30dfe9d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#md0b30dfe9d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#md0b30dfe9d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#md0b30dfe9d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#md0b30dfe9d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mfd82245128\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfd82245128\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfd82245128\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfd82245128\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfd82245128\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mfd82245128\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p0928db68d9)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p0928db68d9)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p0928db68d9)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p0928db68d9)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p0928db68d9\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:38.503386</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"md91c20dadd\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m6a5bde0d64\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m6a5bde0d64\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m6a5bde0d64\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m6a5bde0d64\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m6a5bde0d64\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m6a5bde0d64\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pdffc33c2db)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pdffc33c2db)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pdffc33c2db)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pdffc33c2db)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pdffc33c2db\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -144,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -162,14 +162,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:52:59.294617</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m0254b50be5\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m0254b50be5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m0254b50be5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m0254b50be5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m0254b50be5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m0254b50be5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m0254b50be5\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mc5f02c7f37\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mc5f02c7f37\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mc5f02c7f37\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mc5f02c7f37\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mc5f02c7f37\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mc5f02c7f37\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p0c08caf73a)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p0c08caf73a)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p0c08caf73a)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p0c08caf73a)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p0c08caf73a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:41.984380</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m4852ce8f70\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mcba58ca105\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mcba58ca105\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mcba58ca105\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mcba58ca105\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mcba58ca105\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mcba58ca105\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pb0476d7ad4)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pb0476d7ad4)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pb0476d7ad4)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pb0476d7ad4)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb0476d7ad4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -192,7 +192,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 9,
    "metadata": {
     "tags": [
      "outputPrepend"
@@ -203,399 +203,402 @@
      "output_type": "stream",
      "name": "stdout",
      "text": [
-      "(0.0946, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0790, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1974, requires_grad=True)}\n",
-      "Epoch: 22\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0962, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0861, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1959, requires_grad=True)}\n",
-      "Epoch: 23\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      ")}\n",
+      "Epoch: 21\t Loss: tensor(0.0034, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1143, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1473, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1536, requires_grad=True)}\n",
+      "Epoch: 22\t Loss: tensor(0.0032, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1172, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1450, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1571, requires_grad=True)}\n",
+      "Epoch: 23\t Loss: tensor(0.0030, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1191, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1417, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1605, requires_grad=True)}\n",
+      "Epoch: 24\t Loss: tensor(0.0028, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1200, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1374, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1636, requires_grad=True)}\n",
+      "Epoch: 25\t Loss: tensor(0.0027, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1199, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1322, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1665, requires_grad=True)}\n",
+      "Epoch: 26\t Loss: tensor(0.0025, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1190, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1262, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1692, requires_grad=True)}\n",
+      "Epoch: 27\t Loss: tensor(0.0023, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1173, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1196, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1717, requires_grad=True)}\n",
+      "Epoch: 28\t Loss: tensor(0.0021, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1149, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1124, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1740, requires_grad=True)}\n",
+      "Epoch: 29\t Loss: tensor(0.0019, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1121, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1046, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1762, requires_grad=True)}\n",
+      "Epoch: 30\t Loss: tensor(0.0017, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1088, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0965, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1782, requires_grad=True)}\n",
+      "Epoch: 31\t Loss: tensor(0.0015, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1053, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0880, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1800, requires_grad=True)}\n",
+      "Epoch: 32\t Loss: tensor(0.0013, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1016, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0792, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1817, requires_grad=True)}\n",
+      "Epoch: 33\t Loss: tensor(0.0011, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0979, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0930, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1945, requires_grad=True)}\n",
-      "Epoch: 24\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1937, requires_grad=True)}\n",
-      "Epoch: 25\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1003, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1062, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1934, requires_grad=True)}\n",
-      "Epoch: 26\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1007, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1124, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1938, requires_grad=True)}\n",
-      "Epoch: 27\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1006, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1185, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.0980, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0702, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1833, requires_grad=True)}\n",
+      "Epoch: 34\t Loss: tensor(0.0010, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0946, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0610, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1848, requires_grad=True)}\n",
+      "Epoch: 35\t Loss: tensor(0.0009, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0915, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0517, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1861, requires_grad=True)}\n",
+      "Epoch: 36\t Loss: tensor(0.0009, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0889, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0423, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1874, requires_grad=True)}\n",
+      "Epoch: 37\t Loss: tensor(0.0008, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0868, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0330, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1885, requires_grad=True)}\n",
+      "Epoch: 38\t Loss: tensor(0.0008, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0854, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0237, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1896, requires_grad=True)}\n",
+      "Epoch: 39\t Loss: tensor(0.0008, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0847, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0145, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1905, requires_grad=True)}\n",
+      "Epoch: 40\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0848, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0054, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1914, requires_grad=True)}\n",
+      "Epoch: 41\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0854, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0036, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1922, requires_grad=True)}\n",
+      "Epoch: 42\t Loss: tensor(0.0006, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0867, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0124, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1929, requires_grad=True)}\n",
+      "Epoch: 43\t Loss: tensor(0.0006, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0883, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0211, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1936, requires_grad=True)}\n",
+      "Epoch: 44\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0903, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0295, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1942, requires_grad=True)}\n",
+      "Epoch: 45\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0925, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0378, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1947, requires_grad=True)}\n",
-      "Epoch: 28\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1000, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1243, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1960, requires_grad=True)}\n",
-      "Epoch: 29\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0991, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1300, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1974, requires_grad=True)}\n",
-      "Epoch: 30\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 46\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0981, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1355, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1987, requires_grad=True)}\n",
-      "Epoch: 31\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0972, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1408, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1997, requires_grad=True)}\n",
-      "Epoch: 32\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0965, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1460, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.2003, requires_grad=True)}\n",
-      "Epoch: 33\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0963, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1510, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.2003, requires_grad=True)}\n",
-      "Epoch: 34\t Loss: tensor(9.7682e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0964, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1558, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1999, requires_grad=True)}\n",
-      "Epoch: 35\t Loss: tensor(8.8802e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0947, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0458, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1952, requires_grad=True)}\n",
+      "Epoch: 47\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0969, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1604, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 36\t Loss: tensor(7.8842e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0968, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0537, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1957, requires_grad=True)}\n",
+      "Epoch: 48\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0977, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1649, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1983, requires_grad=True)}\n",
-      "Epoch: 37\t Loss: tensor(7.0494e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0988, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0614, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1961, requires_grad=True)}\n",
+      "Epoch: 49\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0985, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1692, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1974, requires_grad=True)}\n",
-      "Epoch: 38\t Loss: tensor(6.5258e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1004, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0688, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1965, requires_grad=True)}\n",
+      "Epoch: 50\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1734, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1018, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0761, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1968, requires_grad=True)}\n",
-      "Epoch: 39\t Loss: tensor(6.2502e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1774, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1965, requires_grad=True)}\n",
-      "Epoch: 40\t Loss: tensor(6.0217e-05, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 51\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.1000, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1813, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1966, requires_grad=True)}\n",
-      "Epoch: 41\t Loss: tensor(5.6671e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1027, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0832, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1971, requires_grad=True)}\n",
+      "Epoch: 52\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.1000, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1850, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1970, requires_grad=True)}\n",
-      "Epoch: 42\t Loss: tensor(5.1608e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1032, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0901, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1974, requires_grad=True)}\n",
+      "Epoch: 53\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1886, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1034, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0967, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1977, requires_grad=True)}\n",
-      "Epoch: 43\t Loss: tensor(4.6179e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0992, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1921, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1985, requires_grad=True)}\n",
-      "Epoch: 44\t Loss: tensor(4.1837e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0986, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1954, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 45\t Loss: tensor(3.9211e-05, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 54\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0982, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1987, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1998, requires_grad=True)}\n",
-      "Epoch: 46\t Loss: tensor(3.7724e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1032, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1032, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1979, requires_grad=True)}\n",
+      "Epoch: 55\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0980, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2018, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.2000, requires_grad=True)}\n",
-      "Epoch: 47\t Loss: tensor(3.6195e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1026, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1095, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1981, requires_grad=True)}\n",
+      "Epoch: 56\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0980, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2048, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.2000, requires_grad=True)}\n",
-      "Epoch: 48\t Loss: tensor(3.3819e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1019, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1156, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1983, requires_grad=True)}\n",
+      "Epoch: 57\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0982, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2077, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1997, requires_grad=True)}\n",
-      "Epoch: 49\t Loss: tensor(3.0734e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1009, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1215, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1984, requires_grad=True)}\n",
+      "Epoch: 58\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0986, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2105, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 50\t Loss: tensor(2.7764e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1271, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1986, requires_grad=True)}\n",
+      "Epoch: 59\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0990, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2132, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.0988, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1326, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1987, requires_grad=True)}\n",
-      "Epoch: 51\t Loss: tensor(2.5636e-05, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 60\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0994, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2158, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1983, requires_grad=True)}\n",
-      "Epoch: 52\t Loss: tensor(2.4411e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0978, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1379, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1988, requires_grad=True)}\n",
+      "Epoch: 61\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2183, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1980, requires_grad=True)}\n",
-      "Epoch: 53\t Loss: tensor(2.3517e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0969, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1430, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1989, requires_grad=True)}\n",
+      "Epoch: 62\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2208, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1980, requires_grad=True)}\n",
-      "Epoch: 54\t Loss: tensor(2.2311e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0961, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1478, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1990, requires_grad=True)}\n",
+      "Epoch: 63\t Loss: tensor(9.8452e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2231, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1981, requires_grad=True)}\n",
-      "Epoch: 55\t Loss: tensor(2.0608e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0956, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1525, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1991, requires_grad=True)}\n",
+      "Epoch: 64\t Loss: tensor(9.4771e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2254, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1985, requires_grad=True)}\n",
-      "Epoch: 56\t Loss: tensor(1.8757e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0953, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1570, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1991, requires_grad=True)}\n",
+      "Epoch: 65\t Loss: tensor(9.0765e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2276, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1989, requires_grad=True)}\n",
-      "Epoch: 57\t Loss: tensor(1.7251e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0953, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1613, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1992, requires_grad=True)}\n",
+      "Epoch: 66\t Loss: tensor(8.5824e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0991, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2297, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1994, requires_grad=True)}\n",
-      "Epoch: 58\t Loss: tensor(1.6295e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0955, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1654, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1992, requires_grad=True)}\n",
+      "Epoch: 67\t Loss: tensor(7.9839e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0989, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2317, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1997, requires_grad=True)}\n",
-      "Epoch: 59\t Loss: tensor(1.5658e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0959, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1694, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 68\t Loss: tensor(7.3129e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0988, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2337, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1998, requires_grad=True)}\n",
-      "Epoch: 60\t Loss: tensor(1.4947e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0964, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1731, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 69\t Loss: tensor(6.6275e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0989, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2356, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1998, requires_grad=True)}\n",
-      "Epoch: 61\t Loss: tensor(1.3955e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0971, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1768, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 70\t Loss: tensor(5.9903e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0991, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2375, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1996, requires_grad=True)}\n",
-      "Epoch: 62\t Loss: tensor(1.2814e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0978, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1803, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 71\t Loss: tensor(5.4491e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2393, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.0985, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1836, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 63\t Loss: tensor(1.1817e-05, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 72\t Loss: tensor(5.0263e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2410, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1990, requires_grad=True)}\n",
-      "Epoch: 64\t Loss: tensor(1.1129e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0991, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1869, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 73\t Loss: tensor(4.7162e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2427, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1988, requires_grad=True)}\n",
-      "Epoch: 65\t Loss: tensor(1.0659e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1900, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 74\t Loss: tensor(4.4913e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2443, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1987, requires_grad=True)}\n",
-      "Epoch: 66\t Loss: tensor(1.0182e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1001, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1930, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 75\t Loss: tensor(4.3131e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2459, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1987, requires_grad=True)}\n",
-      "Epoch: 67\t Loss: tensor(9.5560e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1005, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1959, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 76\t Loss: tensor(4.1439e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2474, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1989, requires_grad=True)}\n",
-      "Epoch: 68\t Loss: tensor(8.8371e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1006, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1987, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 77\t Loss: tensor(3.9557e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0995, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2489, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1991, requires_grad=True)}\n",
-      "Epoch: 69\t Loss: tensor(8.1914e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1007, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2014, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 78\t Loss: tensor(3.7362e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0994, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2503, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1994, requires_grad=True)}\n",
-      "Epoch: 70\t Loss: tensor(7.7218e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1006, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2040, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 79\t Loss: tensor(3.4885e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2517, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1996, requires_grad=True)}\n",
-      "Epoch: 71\t Loss: tensor(7.3807e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1004, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2066, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 80\t Loss: tensor(3.2275e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2530, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1997, requires_grad=True)}\n",
-      "Epoch: 72\t Loss: tensor(7.0378e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1001, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2090, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 81\t Loss: tensor(2.9732e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2543, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1997, requires_grad=True)}\n",
-      "Epoch: 73\t Loss: tensor(6.6148e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2114, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 82\t Loss: tensor(2.7447e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0994, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2556, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1996, requires_grad=True)}\n",
-      "Epoch: 74\t Loss: tensor(6.1477e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2568, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1995, requires_grad=True)}\n",
-      "Epoch: 75\t Loss: tensor(5.7309e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.2137, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 83\t Loss: tensor(2.5542e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2580, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.0990, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2159, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 76\t Loss: tensor(5.4180e-06, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 84\t Loss: tensor(2.4042e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2592, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.0987, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2180, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 77\t Loss: tensor(5.1708e-06, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 85\t Loss: tensor(2.2885e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2603, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1991, requires_grad=True)}\n",
-      "Epoch: 78\t Loss: tensor(4.9158e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2614, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.0985, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2201, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 79\t Loss: tensor(4.6182e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2624, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 80\t Loss: tensor(4.3082e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2635, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1994, requires_grad=True)}\n",
-      "Epoch: 81\t Loss: tensor(4.0392e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2645, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1995, requires_grad=True)}\n",
-      "Epoch: 82\t Loss: tensor(3.8291e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0995, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2654, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1996, requires_grad=True)}\n",
-      "Epoch: 83\t Loss: tensor(3.6487e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0995, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2664, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1997, requires_grad=True)}\n",
-      "Epoch: 84\t Loss: tensor(3.4565e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2673, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1997, requires_grad=True)}\n",
-      "Epoch: 85\t Loss: tensor(3.2440e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2682, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1996, requires_grad=True)}\n",
-      "Epoch: 86\t Loss: tensor(3.0374e-06, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 86\t Loss: tensor(2.1950e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2691, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1995, requires_grad=True)}\n",
-      "Epoch: 87\t Loss: tensor(2.8623e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0983, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2221, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1992, requires_grad=True)}\n",
+      "Epoch: 87\t Loss: tensor(2.1096e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2699, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1994, requires_grad=True)}\n",
-      "Epoch: 88\t Loss: tensor(2.7187e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0982, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2240, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1992, requires_grad=True)}\n",
+      "Epoch: 88\t Loss: tensor(2.0207e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2707, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1994, requires_grad=True)}\n",
-      "Epoch: 89\t Loss: tensor(2.5832e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0982, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2258, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1992, requires_grad=True)}\n",
+      "Epoch: 89\t Loss: tensor(1.9222e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2715, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1994, requires_grad=True)}\n",
-      "Epoch: 90\t Loss: tensor(2.4385e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0983, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2276, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1992, requires_grad=True)}\n",
+      "Epoch: 90\t Loss: tensor(1.8142e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2723, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1994, requires_grad=True)}\n",
-      "Epoch: 91\t Loss: tensor(2.2882e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0985, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2293, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1992, requires_grad=True)}\n",
+      "Epoch: 91\t Loss: tensor(1.7018e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2731, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1995, requires_grad=True)}\n",
-      "Epoch: 92\t Loss: tensor(2.1509e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0987, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2310, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1992, requires_grad=True)}\n",
+      "Epoch: 92\t Loss: tensor(1.5921e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2738, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1996, requires_grad=True)}\n",
-      "Epoch: 93\t Loss: tensor(2.0347e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0989, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2326, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1992, requires_grad=True)}\n",
+      "Epoch: 93\t Loss: tensor(1.4923e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2745, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1996, requires_grad=True)}\n",
-      "Epoch: 94\t Loss: tensor(1.9325e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0992, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2341, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1991, requires_grad=True)}\n",
+      "Epoch: 94\t Loss: tensor(1.4067e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2752, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1997, requires_grad=True)}\n",
-      "Epoch: 95\t Loss: tensor(1.8298e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0994, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2356, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1991, requires_grad=True)}\n",
+      "Epoch: 95\t Loss: tensor(1.3362e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2759, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1997, requires_grad=True)}\n",
-      "Epoch: 96\t Loss: tensor(1.7222e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2371, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1991, requires_grad=True)}\n",
+      "Epoch: 96\t Loss: tensor(1.2777e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2766, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1996, requires_grad=True)}\n",
-      "Epoch: 97\t Loss: tensor(1.6187e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.2385, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1991, requires_grad=True)}\n",
+      "Epoch: 97\t Loss: tensor(1.2273e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2772, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1996, requires_grad=True)}\n",
-      "Epoch: 98\t Loss: tensor(1.5270e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.2399, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1991, requires_grad=True)}\n",
+      "Epoch: 98\t Loss: tensor(1.1794e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2778, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1996, requires_grad=True)}\n",
-      "Epoch: 99\t Loss: tensor(1.4471e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.1000, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2412, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1991, requires_grad=True)}\n",
+      "Epoch: 99\t Loss: tensor(1.1305e-05, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2785, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1995, requires_grad=True)}\n"
+      "tensor(0.1000, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2426, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1991, requires_grad=True)}\n"
      ]
     }
    ],
@@ -605,24 +608,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "output_type": "execute_result",
      "data": {
       "text/plain": [
-       "{'a': 0.0999237447977066, 'g1': 0.2784566581249237, 'g2': 0.19953623414039612}"
+       "{'a': 0.09996917098760605,\n",
+       " 'g1': 0.24255302548408508,\n",
+       " 'g2': 0.19910137355327606}"
       ]
      },
      "metadata": {},
-     "execution_count": 12
+     "execution_count": 10
     }
    ],
    "source": [
     "ode_solver.get_coeffs()\n",
     "\n",
-    "# \"a\" and \"g2\" differ by at most 0.01. \"g1\" differs by 0.03."
+    "# \"a\" and \"g2\" differ by at most 0.01. \"g1\" differs by 0.06."
    ]
   },
   {
@@ -634,7 +639,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -642,17 +647,17 @@
      "data": {
       "text/plain": [
        "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9820e-01, 1.7958e-03, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9641e-01, 3.5863e-03, 1.7945e-06],\n",
+       "        [1.0000e-01, 8.9821e-01, 1.7919e-03, 0.0000e+00],\n",
+       "        [1.0000e-01, 8.9642e-01, 3.5785e-03, 1.7914e-06],\n",
        "        ...,\n",
-       "        [6.2658e-03, 2.2260e-06, 1.3104e-04, 9.9360e-01],\n",
-       "        [6.2658e-03, 2.2239e-06, 1.3092e-04, 9.9360e-01],\n",
-       "        [6.2658e-03, 2.2217e-06, 1.3079e-04, 9.9360e-01]],\n",
+       "        [9.0271e-03, 2.9410e-06, 1.3851e-04, 9.9083e-01],\n",
+       "        [9.0271e-03, 2.9381e-06, 1.3838e-04, 9.9083e-01],\n",
+       "        [9.0271e-03, 2.9353e-06, 1.3825e-04, 9.9083e-01]],\n",
        "       grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
-     "execution_count": 13
+     "execution_count": 11
     }
    ],
    "source": [
@@ -662,15 +667,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T16:04:30.183746</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"ma2b3848944\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#ma2b3848944\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.273255\" xlink:href=\"#ma2b3848944\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2000 -->\n      <g transform=\"translate(98.548255 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.210658\" xlink:href=\"#ma2b3848944\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4000 -->\n      <g transform=\"translate(163.485658 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.148061\" xlink:href=\"#ma2b3848944\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6000 -->\n      <g transform=\"translate(228.423061 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.085464\" xlink:href=\"#ma2b3848944\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8000 -->\n      <g transform=\"translate(293.360464 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.022866\" xlink:href=\"#ma2b3848944\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10000 -->\n      <g transform=\"translate(355.116616 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"254.492188\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mbf3a07360b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mbf3a07360b\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mbf3a07360b\" y=\"212.520433\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 216.319652)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mbf3a07360b\" y=\"163.824866\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 167.624085)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mbf3a07360b\" y=\"115.129299\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 118.928518)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mbf3a07360b\" y=\"66.433732\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 70.232951)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mbf3a07360b\" y=\"17.738165\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 21.537384)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pd3b04c9a34)\" d=\"M 46.335852 236.868216 \nL 47.764475 236.978445 \nL 49.322973 237.330175 \nL 51.076283 237.962174 \nL 53.15428 238.956369 \nL 55.88165 240.523667 \nL 61.726017 244.222732 \nL 66.239166 246.925919 \nL 69.940598 248.88572 \nL 73.512155 250.526522 \nL 77.14865 251.951499 \nL 80.947488 253.200216 \nL 85.038544 254.30832 \nL 89.519225 255.288429 \nL 94.551874 256.156994 \nL 100.331303 256.92211 \nL 107.084793 257.585454 \nL 115.234437 258.155305 \nL 125.429609 258.635617 \nL 138.676839 259.025772 \nL 156.924249 259.326706 \nL 184.327833 259.537059 \nL 232.67373 259.655464 \nL 369.789056 259.6904 \nL 370.990398 259.690421 \nL 370.990398 259.690421 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pd3b04c9a34)\" d=\"M 46.335852 42.085955 \nL 48.1541 65.104218 \nL 49.972347 85.388286 \nL 51.823063 103.592203 \nL 53.673779 119.659966 \nL 55.556963 134.113252 \nL 57.472617 147.120239 \nL 59.420739 158.833481 \nL 61.368861 169.226485 \nL 63.349452 178.619766 \nL 65.362511 187.113712 \nL 67.408039 194.796749 \nL 69.486036 201.746793 \nL 71.596502 208.032644 \nL 73.706968 213.633991 \nL 75.849902 218.704225 \nL 78.025305 223.28925 \nL 80.233177 227.430656 \nL 82.473517 231.166292 \nL 84.746326 234.530846 \nL 87.084073 237.59628 \nL 89.454288 240.342703 \nL 91.88944 242.829985 \nL 94.421999 245.1006 \nL 97.051964 247.159753 \nL 99.779335 249.014962 \nL 102.669049 250.711003 \nL 105.721107 252.243428 \nL 109.000446 253.637651 \nL 112.507066 254.885086 \nL 116.338373 256.009296 \nL 120.559304 257.012262 \nL 125.267265 257.89818 \nL 130.624601 258.67407 \nL 136.826123 259.340301 \nL 144.16405 259.89781 \nL 153.190349 260.351934 \nL 164.879081 260.705439 \nL 181.210838 260.960757 \nL 207.41308 261.123391 \nL 263.356653 261.201866 \nL 370.990398 261.215459 \nL 370.990398 261.215459 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pd3b04c9a34)\" d=\"M 46.335852 261.216 \nL 47.926819 241.271876 \nL 49.485316 224.441009 \nL 51.043814 209.980365 \nL 52.569843 197.856546 \nL 54.063403 187.722131 \nL 55.524495 179.283077 \nL 56.953118 172.290222 \nL 58.349272 166.531799 \nL 59.712957 161.827522 \nL 61.011705 158.107679 \nL 62.277985 155.12519 \nL 63.511795 152.772816 \nL 64.680669 151.00154 \nL 65.817073 149.667588 \nL 66.921009 148.705974 \nL 67.992476 148.060455 \nL 69.063943 147.674214 \nL 70.13541 147.525005 \nL 71.239346 147.597436 \nL 72.40822 147.901341 \nL 73.674499 148.468297 \nL 75.070653 149.348874 \nL 76.596682 150.5806 \nL 78.349992 152.294661 \nL 80.330583 154.553031 \nL 82.668329 157.572447 \nL 85.460637 161.558723 \nL 89.064663 167.115191 \nL 94.941498 176.648835 \nL 103.123611 189.844614 \nL 107.993916 197.266616 \nL 112.312254 203.451921 \nL 116.370841 208.884787 \nL 120.299554 213.776347 \nL 124.130861 218.195532 \nL 127.929699 222.24009 \nL 131.696068 225.928985 \nL 135.494906 229.339894 \nL 139.326213 232.481624 \nL 143.222457 235.38834 \nL 147.183639 238.066114 \nL 151.242227 240.541768 \nL 155.430689 242.835828 \nL 159.781495 244.963436 \nL 164.294645 246.922035 \nL 169.035075 248.735219 \nL 174.035255 250.40712 \nL 179.327653 251.94005 \nL 184.977207 253.342801 \nL 191.048854 254.619274 \nL 197.640001 255.775462 \nL 204.880521 256.816315 \nL 212.900291 257.740725 \nL 221.92659 258.552731 \nL 232.251637 259.25298 \nL 244.329994 259.843075 \nL 258.90844 260.324883 \nL 277.285725 260.699574 \nL 302.091813 260.968891 \nL 339.950319 261.135833 \nL 370.990398 261.184155 \nL 370.990398 261.184155 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pd3b04c9a34)\" d=\"M 46.335852 261.216 \nL 47.082632 261.10775 \nL 47.861881 260.76434 \nL 48.706067 260.145711 \nL 49.680129 259.138428 \nL 50.784064 257.650889 \nL 52.017875 255.598288 \nL 53.446498 252.768662 \nL 55.102402 248.965793 \nL 57.018055 243.982742 \nL 59.290864 237.423809 \nL 62.083172 228.652728 \nL 65.817073 216.133115 \nL 73.90178 187.981794 \nL 79.616271 168.572679 \nL 84.064483 154.23653 \nL 88.058134 142.0983 \nL 91.824503 131.351047 \nL 95.428529 121.729654 \nL 98.935149 112.995766 \nL 102.344362 105.091321 \nL 105.721107 97.818209 \nL 109.032915 91.203627 \nL 112.344722 85.080667 \nL 115.624061 79.478194 \nL 118.9034 74.309063 \nL 122.215207 69.502495 \nL 125.527015 65.085352 \nL 128.871291 60.993607 \nL 132.248036 57.211601 \nL 135.689719 53.691268 \nL 139.16387 50.453883 \nL 142.735427 47.430004 \nL 146.371921 44.641314 \nL 150.138291 42.034421 \nL 154.002066 39.630208 \nL 158.028185 37.387852 \nL 162.216648 35.310633 \nL 166.599922 33.386578 \nL 171.242947 31.595253 \nL 176.113252 29.956236 \nL 181.308244 28.444405 \nL 186.892861 27.054218 \nL 192.89957 25.790869 \nL 199.458248 24.642459 \nL 206.6663 23.610612 \nL 214.718538 22.688958 \nL 223.712368 21.887684 \nL 234.069884 21.193585 \nL 246.245647 20.608067 \nL 261.083843 20.128606 \nL 279.363722 19.765709 \nL 305.143871 19.496445 \nL 342.580284 19.339711 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_17\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_18\"/>\n    <g id=\"text_13\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_19\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_20\"/>\n    <g id=\"text_14\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_21\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_22\"/>\n    <g id=\"text_15\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_23\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_24\"/>\n    <g id=\"text_16\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd3b04c9a34\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:34:58.731792</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m915c578356\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.273255\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2000 -->\n      <g transform=\"translate(98.548255 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.210658\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4000 -->\n      <g transform=\"translate(163.485658 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.148061\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6000 -->\n      <g transform=\"translate(228.423061 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.085464\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8000 -->\n      <g transform=\"translate(293.360464 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.022866\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10000 -->\n      <g transform=\"translate(355.116616 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"254.492188\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m332be684cb\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"212.384307\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 216.183525)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"163.552613\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 167.351832)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"114.72092\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 118.520139)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"65.889227\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 69.688446)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"17.057534\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 20.856752)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p163d4934a0)\" d=\"M 46.335852 236.800153 \nL 47.861881 236.909622 \nL 49.517785 237.254764 \nL 51.40097 237.879245 \nL 53.673779 238.877844 \nL 56.693368 240.46573 \nL 69.583442 247.52095 \nL 73.479687 249.250621 \nL 77.375931 250.737152 \nL 81.434519 252.045748 \nL 85.752856 253.202249 \nL 90.460817 254.230145 \nL 95.720747 255.146032 \nL 101.694988 255.954605 \nL 108.64329 256.663524 \nL 116.922809 257.276536 \nL 127.053044 257.795145 \nL 139.975587 258.223366 \nL 157.216468 258.559214 \nL 181.957618 258.801872 \nL 222.283745 258.950044 \nL 312.93636 259.008456 \nL 370.990398 259.011966 \nL 370.990398 259.011966 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p163d4934a0)\" d=\"M 46.335852 41.473386 \nL 48.186568 64.916503 \nL 50.037284 85.573117 \nL 51.888 103.800039 \nL 53.771185 120.177743 \nL 55.65437 134.655366 \nL 57.570023 147.691335 \nL 59.518145 159.430728 \nL 61.466267 169.841718 \nL 63.446858 179.24228 \nL 65.459917 187.731447 \nL 67.505446 195.397658 \nL 69.550974 202.217839 \nL 71.628971 208.386879 \nL 73.739436 213.964079 \nL 75.882371 219.002724 \nL 78.057774 223.550967 \nL 80.265645 227.652367 \nL 82.505986 231.346595 \nL 84.778795 234.669853 \nL 87.116541 237.694765 \nL 89.486756 240.403025 \nL 91.954378 242.885354 \nL 94.486936 245.119434 \nL 97.116901 247.145856 \nL 99.876741 248.992735 \nL 102.798924 250.67868 \nL 105.883451 252.200428 \nL 109.195258 253.583984 \nL 112.766815 254.832095 \nL 116.66306 255.954605 \nL 120.948928 256.954764 \nL 125.754296 257.843175 \nL 131.209038 258.619974 \nL 137.540435 259.289976 \nL 145.040705 259.852741 \nL 154.261816 260.313033 \nL 166.177829 260.673794 \nL 182.769336 260.937966 \nL 209.036515 261.110248 \nL 262.707279 261.197611 \nL 370.990398 261.215283 \nL 370.990398 261.215283 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p163d4934a0)\" d=\"M 46.335852 261.216 \nL 47.926819 241.258403 \nL 49.485316 224.415854 \nL 51.043814 209.947621 \nL 52.569843 197.821879 \nL 54.063403 187.691499 \nL 55.524495 179.262247 \nL 56.953118 172.284174 \nL 58.349272 166.54461 \nL 59.712957 161.862342 \nL 61.011705 158.16606 \nL 62.277985 155.208334 \nL 63.511795 152.881211 \nL 64.680669 151.134453 \nL 65.817073 149.824423 \nL 66.921009 148.885778 \nL 67.992476 148.26203 \nL 69.063943 147.896809 \nL 70.13541 147.767644 \nL 71.239346 147.859531 \nL 72.40822 148.18252 \nL 73.674499 148.768299 \nL 75.070653 149.667193 \nL 76.629151 150.945163 \nL 78.382461 152.680016 \nL 80.39552 154.995395 \nL 82.765735 158.076122 \nL 85.622981 162.171374 \nL 89.356882 167.937395 \nL 95.948028 178.605573 \nL 103.15608 190.127697 \nL 108.026385 197.491941 \nL 112.344722 203.626826 \nL 116.435779 209.056465 \nL 120.364492 213.905085 \nL 124.228267 218.321899 \nL 128.027105 222.329997 \nL 131.825943 226.017074 \nL 135.624781 229.397273 \nL 139.456088 232.512265 \nL 143.352332 235.395836 \nL 147.345982 238.074665 \nL 151.437039 240.550452 \nL 155.65797 242.843812 \nL 160.008776 244.955157 \nL 164.554394 246.913614 \nL 169.327293 248.726142 \nL 174.359942 250.397036 \nL 179.684809 251.928798 \nL 185.366832 253.330323 \nL 191.503416 254.611871 \nL 198.1595 255.771195 \nL 205.464958 256.813657 \nL 213.549665 257.738586 \nL 222.640901 258.550404 \nL 233.063354 259.252005 \nL 245.239117 259.842323 \nL 259.947439 260.324655 \nL 278.487067 260.699607 \nL 303.487967 260.968834 \nL 341.67116 261.135842 \nL 370.990398 261.182246 \nL 370.990398 261.182246 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p163d4934a0)\" d=\"M 46.335852 261.216 \nL 47.082632 261.107632 \nL 47.861881 260.763839 \nL 48.706067 260.144506 \nL 49.680129 259.136074 \nL 50.784064 257.646865 \nL 52.017875 255.592058 \nL 53.446498 252.759635 \nL 55.102402 248.953544 \nL 57.018055 243.967293 \nL 59.290864 237.406088 \nL 62.115641 228.529952 \nL 65.882011 215.900971 \nL 82.343642 159.800214 \nL 86.467167 146.999246 \nL 90.298474 135.813085 \nL 93.967437 125.77706 \nL 97.506526 116.734843 \nL 100.948208 108.539959 \nL 104.324953 101.061518 \nL 107.669229 94.18605 \nL 110.981037 87.877218 \nL 114.292844 82.04239 \nL 117.604652 76.656682 \nL 120.916459 71.694102 \nL 124.228267 67.128628 \nL 127.572543 62.894876 \nL 130.949288 58.977316 \nL 134.358502 55.360071 \nL 137.832653 51.996601 \nL 141.371741 48.878727 \nL 144.975767 45.997252 \nL 148.677199 43.319693 \nL 152.508506 40.821951 \nL 156.469687 38.504724 \nL 160.593213 36.350534 \nL 164.879081 34.361505 \nL 169.424699 32.49983 \nL 174.16513 30.79866 \nL 179.230247 29.218599 \nL 184.65252 27.763403 \nL 190.464418 26.436652 \nL 196.730877 25.235216 \nL 203.614242 24.144587 \nL 211.244387 23.165462 \nL 219.686249 22.308219 \nL 229.264516 21.560443 \nL 240.401281 20.9179 \nL 253.583573 20.384781 \nL 269.817924 19.957462 \nL 290.760237 19.636525 \nL 320.079474 19.418987 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_17\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_18\"/>\n    <g id=\"text_13\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_19\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_20\"/>\n    <g id=\"text_14\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_21\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_22\"/>\n    <g id=\"text_15\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_23\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_24\"/>\n    <g id=\"text_16\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p163d4934a0\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     }
@@ -691,14 +696,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import scipy.io.savemet as savemat\n",
+    "import scipy.io\n",
     "\n",
-    "savemat(\"SEIR_fit.mat\", {\"x\": results_test_np})"
+    "scipy.io.savemat(\"SEIR_fit.mat\", {\"x\": results_test_np})"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb b/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
index 4f00726a..7603ffa1 100644
--- a/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
+++ b/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -25,7 +25,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -62,7 +62,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -81,7 +81,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -99,7 +99,7 @@
       ]
      },
      "metadata": {},
-     "execution_count": 6
+     "execution_count": 5
     }
    ],
    "source": [
@@ -108,14 +108,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:52:16.867885</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mcf1b1545c0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#mcf1b1545c0\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#mcf1b1545c0\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#mcf1b1545c0\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#mcf1b1545c0\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#mcf1b1545c0\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#mcf1b1545c0\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m4d4a033c0f\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m4d4a033c0f\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m4d4a033c0f\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m4d4a033c0f\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m4d4a033c0f\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m4d4a033c0f\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p9e659b2725)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p9e659b2725)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p9e659b2725)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p9e659b2725)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9e659b2725\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:42.013360</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m62669ac1fa\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m62669ac1fa\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m62669ac1fa\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m62669ac1fa\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m62669ac1fa\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m62669ac1fa\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m62669ac1fa\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m7a2aaad3a0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m7a2aaad3a0\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m7a2aaad3a0\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m7a2aaad3a0\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m7a2aaad3a0\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m7a2aaad3a0\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p018aeadb99)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p018aeadb99)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p018aeadb99)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p018aeadb99)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p018aeadb99\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAGdCAYAAADAAnMpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAABqfklEQVR4nO3dd5wU9f3H8df263t0jiqg9KKAIlUBpYhKUzFWjJqgsRCiseWXqEnEaKLGGOw1GjVKERGRojTpRamC0o5ycBxwe33r/P6Yuz1OQLnj7ubK+/l47GNnvzN789kRb983853v12YYhoGIiIiIRexWFyAiIiK1m8KIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiKafVBZyOSCTCgQMHSExMxGazWV2OiIiInAbDMMjOzqZJkybY7ac+/1EtwsiBAwdo3ry51WWIiIhIGezdu5dmzZqdcn21CCOJiYmA+WGSkpIsrkZEREROR1ZWFs2bN49+j59KtQgjRZdmkpKSFEZERESqmZ/rYqEOrCIiImIphRERERGxlMKIiIiIWKpa9BkRERGpbgzDIBQKEQ6HrS6lwjgcDpxO5xkPu6EwIiIiUs4CgQBpaWnk5eVZXUqFi4uLIyUlBbfbXeafoTAiIiJSjiKRCLt27cLhcNCkSRPcbneNHLDTMAwCgQCHDx9m165dnHPOOT85sNlPURgREREpR4FAgEgkQvPmzYmLi7O6nAoVGxuLy+Viz549BAIBYmJiyvRz1IFVRESkApT1LEF1Ux6fs3YcKREREamyFEZERETEUgojIiIiYimFEREREQEgPT2dX//617Ro0QKPx0Pjxo0ZOnQoy5cvr9D91u67aQ58A/P+D656C+LrWV2NiIiIpcaOHUswGOTtt9+mdevWHDp0iAULFnD06NEK3W/tDSOGATPvgoMb4bPfwtVvQw28D1xERKxnGAb5wcofiTXW5TjtMU4yMzNZunQpCxcu5KKLLgKgZcuWXHDBBRVZIlCbw4jNBle+AK8Nhi2fwMaPoevVVlclIiI1UH4wTMc/flHp+93y+FDi3Kf3VZ+QkEBCQgIzZszgwgsvxOPxVHB1xWp3n5Em58JFD5jLs38HWQcsLUdERMQqTqeTt956i7fffpvk5GT69u3Lww8/zIYNGyp83zbDMIwK38sZysrKwuv14vP5SEpKKt8fHg7B65fCgXXQZjDcMFWXa0REpMwKCgrYtWsXrVq1io5IWh0u0xQpKChgyZIlLF++nDlz5rBq1Spee+01xo8ff8rtf/x5i5zu97fCCMDh7fByfwgVwIhn4Pxby38fIiJSK/zUl3N1dNtttzFv3jz27Nlz0vXlEUZq92WaIg3awuA/mctz/w+O7rS2HhERkSqiY8eO5ObmVug+FEaK9JoAZ/WHYC5MvwMilX86TURExCpHjhxh0KBBvPvuu2zYsIFdu3bx0Ucf8dRTTzFy5MgK3XftvZvmx+x2GDUFpvSBvStg+QvQ916rqxIREakUCQkJ9OrVi2effZYdO3YQDAZp3rw5t99+Ow8//HCF7lt9Rn5s3X/M8UccbvjVQmjUqWL3JyIiNUpN6zPyc9RnpCKcdwO0HQbhAEz/NYQCVlckIiJSoymM/JjNBlc8D7F1zdFZF/3N6opERERqNIWRk0lsBJc/ay4vfQb2VOwEQSIiIrWZwsipdBoF514PRgSm/QoKfFZXJCIiUiMpjPyU4X+DOmeBLxU+u8/qakRERGokhZGf4kmEMa+CzQEb/wcbPrK6IhERkRpHYeTnNL8ALvq9ufzZJDh28uFwRUREpGwURk5H//ug2QXgz4LpEzQ6q4iISDlSGDkdDieMeQXciZC6DJY+a3VFIiIiNYbCyOmq2woue9pcXjgZ9q21th4REZFyNn78eGw22wmPYcOGVeh+FUZKo9u10GkMREIw7Tbw51hdkYiISLkaNmwYaWlpJR7vv/9+he5TE+WVhs0Glz8De1fB0Z0w50EY+YLVVYmIiJQbj8dD48aNK3WfCiOlFVsHxrwMb10O6/8DrS+GLldZXZWIiFRlhgHBvMrfryvO/EO6ilMYKYuz+sGA+2Dx0/DpRGjaHeq2troqERGpqoJ58ESTyt/vwwfAHV+qt8yaNYuEhIQSbQ888AD/93//V56VlaAwUlYXPQi7l0Lqcvj4l/DLueB0W12ViIjIGRk4cCAvvvhiiba6detW6D4VRsrK4YSxr8FL/eDAeljwGAz9q9VViYhIVeSKM89SWLHfUoqPj+fss8+ugGJOTWHkTHibwcgp8MEvYPkL0GoAtB1qdVUiIlLV2GylvlxSm+jW3jPV/jLoNcFcnj4BsixIviIiIuXE7/dz8ODBEo+MjIwK3afCSHm49HFo3BXyj8LU2zVcvIiIVFtz5swhJSWlxKNfv34Vuk+FkfLg9MDVb4E7AfYsNe+yERERqWbeeustDMM44fHdd99V6H4VRspLvTZweeGcNYv+Zt5pIyIiIj9LYaQ8db0Gzr0ejAhMvQ1yK/Yam4iISE2gMFLeLnsa6reF7DQzkKj/iIiIyE9SGClv7ni45h3z3u6dX8Gip6yuSEREpEpTGKkIDTvA5c+Zy4v+Bj8ssLQcERGRqqxMYWTKlCm0atWKmJgYevTowZIlS35y+/fee49u3boRFxdHSkoKt9xyC0eOHClTwdVGt3HQ4xbAMC/X+PZZXZGIiEiVVOow8uGHHzJx4kQeeeQR1q9fT//+/Rk+fDipqakn3X7p0qXcdNNN3HrrrWzevJmPPvqI1atXc9ttt51x8VXesCchpZs5/shHt0A4aHVFIiIiVU6pw8gzzzzDrbfeym233UaHDh147rnnaN68+QmT6hRZsWIFZ511Fvfccw+tWrWiX79+/PrXv2bNmjVnXHyV54qBq98Gjxf2rYJ5f7K6IhERkSqnVGEkEAiwdu1ahgwZUqJ9yJAhLFu27KTv6dOnD/v27WP27NkYhsGhQ4f4+OOPGTFixCn34/f7ycrKKvGotuq2gtEvmcsr/g1bPrG2HhERkSqmVGEkIyODcDhMo0aNSrQ3atSIgwcPnvQ9ffr04b333mPcuHG43W4aN25McnIy//rXv065n8mTJ+P1eqOP5s2bl6bMqqf9ZdDnHnP5k7vgyA5r6xEREalCytSB1WazlXhtGMYJbUW2bNnCPffcwx//+EfWrl3LnDlz2LVrFxMmTDjlz3/ooYfw+XzRx969e8tSZtUy+I/Qog/4s+B/N0Ew3+qKREREShg/fjyjRo2q9P06S7Nx/fr1cTgcJ5wFSU9PP+FsSZHJkyfTt29f7r//fgC6du1KfHw8/fv35y9/+QspKSknvMfj8eDxeEpTWtXncMFVb8DL/eHQJvjsdzDy3+a00iIiIrVYqc6MuN1uevTowbx580q0z5s3jz59+pz0PXl5edjtJXfjcDgA84xKrZKUAmNfB5sdvnkP1rxudUUiIiKWK9WZEYBJkyZx44030rNnT3r37s0rr7xCampq9LLLQw89xP79+3nnnXcAuOKKK7j99tt58cUXGTp0KGlpaUycOJELLriAJk2alO+nqQ5aXwSXPArz/gifPwiNOkOLC62uSkREKpBhGOSHKv/yfKwz9pTdKKqSUoeRcePGceTIER5//HHS0tLo3Lkzs2fPpmXLlgCkpaWVGHNk/PjxZGdn88ILL/C73/2O5ORkBg0axN/+9rfy+xTVTZ974MB62Dzd7D/yq0XmWRMREamR8kP59Ppvr0rf78rrVhLniqv0/ZZWqcMIwJ133smdd9550nVvvfXWCW133303d999d1l2VTPZbHDlC3B4G6RvMQPJ+M/A6ba6MhERkUpXpjAi5cCTAOPehVcHmgOizXkALn/W6qpERKQCxDpjWXndSkv2Wx0ojFipXhsY8xr89xpY8wY0OQ+632R1VSIiUs5sNlu1uFxiFc3aa7W2Q2DgI+byZ7+DfWutrUdERKSSKYxUBf1/B+1GQDgAH94AOelWVyQiIlJpFEaqArvdnL+m3jmQfQA+Gq8ZfkVEpNK99dZbzJgxo9L3qzBSVcQkwbX/BXci7Pka5jxkdUUiIiKVQmGkKmnQFsa8DNhg9auwWiO0iohIzacwUtW0HwGD/mAuf/572LXE2npEREQqmMJIVdT/d9D5KoiE4H83wtFdVlckIiJSYRRGqiKbDUa+AE26Q/4xeP9aKMiyuioREZEKoTBSVblizQ6tiSlw+DuYdjtEwlZXJSIiUu4URqqypBS49j1wxsD2ObDgcasrEhERKXcKI1Vd0x4w8t/m8tfPwbcfWFqOiIhIeVMYqQ66XGV2agWYeQ/sW2NtPSIiIuVIYaS6GPiHwiHj/fDBdZC51+qKREREyoXCSHVht8OYV6BRZ8g5BP8dpztsRESkXI0fPx6bzYbNZsPpdNKiRQvuuOMOjh07VqH7VRipTjwJ8IsPIKERpG8unMMmZHVVIiJSgwwbNoy0tDR2797Na6+9xqeffsqdd95ZoftUGKlukpvDdR+CKw52LIDP7wfDsLoqERGpITweD40bN6ZZs2YMGTKEcePGMXfu3Ardp7NCf7pUjCbnwdjX4IPrYc0bULcN9LnL6qpEROQUDMPAyM+v9P3aYmOx2Wxlfv/OnTuZM2cOLperHKs6kcJIddV+BAz9K3zxMMz9A9RpCR2usLoqERE5CSM/n23de1T6ftutW4stLq5U75k1axYJCQmEw2EKCgoAeOaZZyqivChdpqnOLrwTzr8NMGDq7bB/rdUViYhINTdw4EC++eYbVq5cyd13383QoUO5++67K3SfOjNSndlsMOxvcGwP/DAP/nst3L4AkltYXZmIiBzHFhtLu3WV/wejLTa21O+Jj4/n7LPPBuD5559n4MCBPPbYY/z5z38u7/KiFEaqO4cTrnoD3hwOhzaZt/z+cg7EeK2uTERECtlstlJfLqkq/vSnPzF8+HDuuOMOmjRpUiH70GWamiAmybzDJqExpG+B/90EoYDVVYmISA1w8cUX06lTJ5544okK24fCSE3hbVZ4y2887FwIM+/SLb8iIlIuJk2axKuvvsrevRUz+rfCSE3S5Fy45m2wOWDDh7DgMasrEhGRauStt95ixowZJ7Rfd911+P1+mjdvXiH7VRipac65FK78l7m89FlY+Yq19YiIiPwMhZGa6LzrYdAfzOXPfw9bPrG2HhERkZ+gMFJT9b8Pev6S6Bgke5ZZXZGIiMhJKYzUVDYbXPZ3aDcCwn54/1pI/87qqkRERE6gMFKT2R1w1evQvBcU+ODdsZB1wOqqRERESlAYqelcsfCLD6DeOZC1D969CvIzra5KRKTGM2rJ8Arl8TkVRmqDuLpww1RIaATpm+H9X0Agz+qqRERqpKIZbvPyasfv2aLPeSYz+2o4+NqiTkszkLw5AlKXwUfj4dr3wFGx00KLiNQ2DoeD5ORk0tPTAYiLi8Nms1lcVfkzDIO8vDzS09NJTk7G4XCU+WcpjNQmjbvAdR/Af0bD91/AjDth9Mtg1wkyEZHy1LhxY4BoIKnJkpOTo5+3rBRGapuWfeCad+CD62Dj/yC2Dgz/m3n3jYiIlAubzUZKSgoNGzYkGAxaXU6FcblcZ3RGpIjCSG3UdiiMegmm3Q6rXjb7lFz8oNVViYjUOA6Ho1y+rGs6nZ+vrbpeDZc9bS4vnAwrX7a2HhERqbUURmqzC26Hix82lz//PXz7obX1iIhIraQwUttd9HvoNcFcnnEHbJtjbT0iIlLrKIzUdjYbDJ0MXceBEYaPboZdi62uSkREahGFETFv7R35b2g7HEIF8N9rIXWl1VWJiEgtoTAiJocLrn4LWg+EYC68dxXsX2d1VSIiUgsojEgxVwxc+19o2Rf8WebgaAc3WV2ViIjUcAojUpI7Dq77EJr2hIJMeGckHN5udVUiIlKDKYzIiTyJ5jw2jbtCXga8cyUc3Wl1VSIiUkMpjMjJxSbDjTOgQQfIToO3R0LmXqurEhGRGkhhRE4tvh7c9AnUbQO+VPMMSVaa1VWJiEgNozAiPy2xEdw8E5JbmJdq3hkJOYetrkpERGoQhRH5ed5mcPOnkNgEMrbB25crkIiISLlRGJHTU+csGD8LElPg8HcKJCIiUm4URuT01WsD4z/7USBJt7oqERGp5hRGpHSigaRJYSC5QoFERETOiMKIlF69NoWXbBRIRETkzCmMSNn8OJC8pUs2IiJSNgojUnbHB5KMbQokIiJSJgojcmaKAklS0+JAkn3I6qpERKQaURiRM1evjTkOSVEgeXM4+PZZXZWIiFQTCiNSPorusvG2gKM74I3hcHSX1VWJiEg1oDAi5aduK/jl58Vz2bw5HA5vt7oqERGp4hRGpHx5m8EtnxfP9vvWZXBwk9VViYhIFaYwIuUvsZF5yaZxV8g9DG+NgP3rrK5KRESqKIURqRjx9cxOrc3Oh4JMc7bf1BVWVyUiIlVQmcLIlClTaNWqFTExMfTo0YMlS5b85PZ+v59HHnmEli1b4vF4aNOmDW+88UaZCpZqJDYZbpwOZ/UHfxb8ZzTsXGR1VSIiUsWUOox8+OGHTJw4kUceeYT169fTv39/hg8fTmpq6infc80117BgwQJef/11tm3bxvvvv0/79u3PqHCpJjyJcN3/oM1gCObBe1fDtjlWVyUiIlWIzTAMozRv6NWrF927d+fFF1+MtnXo0IFRo0YxefLkE7afM2cO1157LTt37qRu3bplKjIrKwuv14vP5yMpKalMP0MsFvLDR7fAts/A5oBRL0K3cVZXJSIiFeh0v79LdWYkEAiwdu1ahgwZUqJ9yJAhLFu27KTvmTlzJj179uSpp56iadOmtG3blvvuu4/8/PxT7sfv95OVlVXiIdWc0wPXvA1drwUjDNN/BStesroqERGpApyl2TgjI4NwOEyjRo1KtDdq1IiDBw+e9D07d+5k6dKlxMTEMH36dDIyMrjzzjs5evToKfuNTJ48mccee6w0pUl14HCZZ0Ti6sKKKTDnAcg7AgMfBpvN6upERMQiZerAavvRF4dhGCe0FYlEIthsNt577z0uuOACLrvsMp555hneeuutU54deeihh/D5fNHH3r17y1KmVEV2Owx9Agb+wXy9+CmYfR9EItbWJSIililVGKlfvz4Oh+OEsyDp6eknnC0pkpKSQtOmTfF6vdG2Dh06YBgG+/adfP4Sj8dDUlJSiYfUIDYbXHQ/jPgHYIPVr8G02yAUsLoyERGxQKnCiNvtpkePHsybN69E+7x58+jTp89J39O3b18OHDhATk5OtG379u3Y7XaaNWtWhpKlxjj/NrjqdbC7YNNU+OAXEMi1uioREalkpb5MM2nSJF577TXeeOMNtm7dym9/+1tSU1OZMGECYF5iuemmm6LbX3fdddSrV49bbrmFLVu2sHjxYu6//35++ctfEhsbW36fRKqnzmPhug/AFQc/zId3RkHeUaurEhGRSlTqMDJu3Diee+45Hn/8cc4991wWL17M7NmzadmyJQBpaWklxhxJSEhg3rx5ZGZm0rNnT66//nquuOIKnn/++fL7FFK9nX0J3PQJxCTDvlXwxjDIVD8hEZHaotTjjFhB44zUEoe2wLtjIfsAJDSGGz6Gxl2srkpERMqoQsYZEalQjTrCbfPMGX9zDsIbw2HHV1ZXJSIiFUxhRKoWbzP45Rxo2Q8C2fDeVfDth1ZXJSIiFUhhRKqe2GS4cRp0GgORkDla65JnoOpfURQRkTJQGJGqyemBsa9D77vM1wseKxwcLWxtXSIiUu4URqTqstth6F9h2JNEB0f7300QPPW8RiIiUv0ojEjVd+EdcPWb4PDAd7Pg7SshN8PqqkREpJwojEj10Gk03DQDYrzmWCSvDYbD262uSkREyoHCiFQfLfvArfMguSUc2w2vXQI7F1pdlYiInCGFEaleGrSD27+E5r3A7zMHSVv7ttVViYjIGVAYkeonvj7cNBO6XG3e+vvpPTDvjxCJWF2ZiIiUgcKIVE+uGBjzKlz0oPn663/CRzdBIM/aukREpNQURqT6stlg4ENmKHG4Yeun8NZlkH3Q6spERKQUFEak+ut6jXnZJrYuHFgPrw6GgxutrkpERE6TwojUDC17w+0LoN45kLUPXh8KW2ZaXZWIiJwGhRGpOeq2Nmf9bX0xBHPhfzfCwifVsVVEpIpTGJGaJbYOXD8Vet1hvl44GT66Gfw51tYlIiKnpDAiNY/DCcOfhCtfALsLts6EN4bCsT1WVyYiIiehMCI1V/cbYfxnEN8QDm2CVwfC7qVWVyUiIj+iMCI1W4te8KuvIOVcyDsC74yE1a9bXZWIiBxHYURqPm8zuOVz6DzWHLH1s0kw67cQClhdmYiIoDAitYU7Dsa+DoP/BNhgzRvw9hWQlWZ1ZSIitZ7CiNQeNhv0nwS/+AA8Xti7Al65CPYss7oyEZFaTWFEap92w8x+JA07Qs4h8wzJihfBMKyuTESkVlIYkdqpXhu4bT50vsrsRzLnQZh2OwRyra5MRKTWURiR2ssdD2Nfg2FPgt0JGz+C1y6FIzusrkxEpFZRGJHazWaDC++Amz81xyNJ3wyvDIRtc6yuTESk1lAYEQFo2Qd+vRia9wK/D94fB1/+FSJhqysTEanxFEZEiiSlwM2z4IJfma8XPwXvjoGcw9bWJSJSwymMiBzP6YbLnobRr4ArDnYuhJf6aRh5EZEKpDAicjLdxsHtX0GD9pBz0Lz9d/HfIRKxujIRkRpHYUTkVBq2h9u/hG6/ACMCX/4Z3rsKcjOsrkxEpEZRGBH5Ke54GP0SjPw3OGNhxwJ4qT/sWW51ZSIiNYbCiMjpOO8G8yxJvXMg+wC8NQKWPqvLNiIi5UBhROR0NeoIv1oIXa4BIwzzHzVvAc49YnVlIiLVmsKISGl4EmDMK3DFP8Hhge/nwkt9YeciqysTEam2FEZESstmgx7j4fYFUL8tZKfBOyPNMyXhoNXViYhUOwojImXVuIt52abHeMAw+5C8MRSO7rS4MBGR6kVhRORMuOPNSzbXvAMxXti/Fl4aAN9+aHVlIiLVhsKISHnoOBImfA0t+kAgG6b/Cqb9CgqyrK5MRKTKUxgRKS/JzWH8LLj4YbDZYcOH8HJ/2LfW6spERKo0hRGR8mR3wMUPwC2fg7cFHNsNbwyBRU9DOGR1dSIiVZLNMAzD6iJ+TlZWFl6vF5/PR1JSktXliJye/EyY9VvYPM183ex8GP0y1GtjaVlSOxmGQSASIBgOEoqECBkh8/n4hxEiHAkTjJjbRIzSDepns9lw2Bw47A6cdidOmxOHzVx22B247K4Sr502Jy6HC5fdVUGfWqx2ut/fCiMiFckwYMP/YPZ94M8yZwIe+lfocYt5i7DISYQjYXJDueQEcsgJ5pz4fNxyXjCPgnABBaGC4udQAf6wn/xQPgXhAvwhPwXhAqs/1ik5bA48Do/5cHqIccTgdriJccTgcXqKlwu3iXXGEu+KJ84VR7wr3nw4zddxrjjinfEl1jvtTqs/Yq2lMCJSlWTuhRl3wO4l5utzhsCV/4LExtbWJRXOMAyyAlkcyT/CMf8xMgsyzWd/5smXCzLJDmZXSm1Ou7PE2Yrow2Y+2212bJw8NNtOEqYjRoSIESEYCRI2woQi5pmWorMwRculPeNypjwOD/GueBJcCSS5k0jyJJHkTiLRnVji9cmWE1wJ2G3q0VBWCiMiVU0kAitfhPmPQdgPsXXh8meh0yirK5MyKAoZB3MPkpGfQXpeOhn5GRzOP1zydd5hApFAmfbhsrtIdCeS4Eog3hVPojsx+lzUFueKI9YZS4wjhhhn4eO45VhHbPRsg8fhiQYOh81x0kBRGSJGJHo5KBgJ4g/78Yf85nPYHz2bc/zrQDhQ4oxPbjCX3GAueaE88zmYR26o8LlwXTBy5oMQ2m12Et2J1PHUIdmTTJ2YOtSNqUudGPN10XIdTx3zOaYOsc7YcjhKNYPCiEhVlb7VvO334Abzdddr4bKnzHFKpMoIR8Iczj9MWm4aB3IOlHhOy0njQO4B8kP5p/3zEl2J5hdYTHKJLzavx2u+LmqPScbr9pLoTsTtcFfgJ6z5guGgGUxCZjjJCeSQFcgyH/6sn132h/1l2m+MIyYaTOrE1KFeTD3qx9anQWwD6sfWp15svehyvCveslBYGRRGRKqyUAAWPWmO2mpEIKkZjJoCrS+yurJaJRgOsj9nP6nZqaRmpZZ4TstJI2T8/B1QdTx1aBDXIPrl0iDOfG4Y1zDaVj+2PjHOmEr4RFKe/GE/2YFsfH4fRwuOkunP5FjBMY4WHOVYwTGO+Y+Zz4WPo/6jhCKlu2su1hlbHFbiGlAvpl7031DRo2FcQ+rG1K2Wl4sURkSqg9SV5gBpx3abr3veCpc+Bp5ES8uqSQzD4EjBEXZk7uCHzB/Y7dsdDR1puWmEjfAp3+u0OWkU34iU+BSaJDQhJT7FfCSk0CS+CY3jGytkSJRhGOQGc6PBJLMgk6MFRzlScISM/IzoZbui17nB3NP+2U67k0ZxjWgY15BGcY3MR3zx68bxjakfW7/KddZVGBGpLvw5MO//YM0b5mtvCxj5L2h9saVlVTeGYXA4/zA7Mnew07eTHzJ/YGfmTnb4duDz+075vlhnLM0Tm9MyqWWJ5+aJzWkQ2wCH3VGJn0Jqk7xgHkfyj5BRUBxUMvIzOFJwJLpc9DD4+a9qGzbqx9Y/Iag0im9E47jGpCSk0DCuYaXeSq0wIlLd7FwIn9wNvlTzdY9bYMifdZbkJIKRILt8u/ju6HfRx7aj28gKnHz4fbvNTrOEZrRJbkMrbyvOSjqL5onNaZHUggaxDWr0NXup/oKRIEfyj3Aw9yCH8g6RnpfOodxDHMorfOQeIj0//bQuEdltdhrENoie5Wuc0Ng88xffhI71OtIgrkG51q4wIlId+bNh/qOw+jXztbe5eQtwm4GWlmWlvGAe249tZ+vRrdHg8cOxH056h4rdZqdFYgtae1vTJrkNbZLbcHby2bRMaqnLKVKjRYwIRwuOFoeTvPTo8qG8Q6TlpnEw9+BP3mH0575/ZtTZo8q1rtP9/q5aF5dEajtPIoz4hznx3id3QeYe+M8o6H4zDPkLxNTsMB6OhNnp28nGjI1sOLyBTRmb+CHzh5P264h3xdOuTjs61OtAuzrtaF+3Pa2TW+NxeCyoXMRadps92uG1U71OJ92mKLCk5aSZd4UVPQpft0hsUclVF9OZEZGqyp8DCx6DVa+Yr5OawZXPw9mDra2rHGXkZ/Bt+rdszNjIxoyNbMrYRF4o74TtGsQ2iIaODvU60L5Oe5omNq2WdxeI1Ca6TCNSU+xaAjPvKr7jptt15pDycXUtLau0DMNgX84+1h5ay7pD61iXvo49WXtO2C7WGUunep3o0qALXet3pUv9LjSKb2RBxSJyphRGRGqSQC4seBxWvgwYEFcfhj0JXa6qsnPcRIwIP2T+UBw+Dq0jPT+9xDY2bJxd5+xo6OjSoAttvG10B4tIDaEwIlIT7V0FM++Bw1vN12dfCpc/A8nWXes93t7svaxIW8GKAytYdXAVmf7MEuuddied63Wme6Pu9GjUg3MbnkuSW/9Pi9RUCiMiNVUoAF8/B4ufhnAAXPEw6A/Q69dQyWcUjhUcY+XBlaw4sIIVaSvYn7O/xPpYZyznNjg3Gj461++seTtEahGFEZGa7vB2+PReSF1mvm7S3ezg2rhLhe0yHAmzMWMji/ctZun+pWw9urXEeqfNSdcGXbmwyYX0TulNp/qdKnWAJRGpWhRGRGqDSATWvQ3z/gR+H9id0OduuOgBcJXPGYjMgkyWHljKkn1L+PrA1yeMZnpOnXO4MOVCLky5kJ6NehLniiuX/YpI9acwIlKbZB+E2ffD1pnm6zqt4LK/wzmXlPpHGYbB9mPbWbRvEUv2LWFDxgYiRiS6PtGdSL8m/ejfrD+9m/Smfmz98voUIlLDKIyI1EbffQaf3QfZB8zXHa6EYZPB2+wn3xYxImw4vIEFqQuYv2c++3L2lVh/Tp1zGNB0AAOaDaBrg65VbjIuEamaFEZEait/Nix8Ela8CEbY7OB68YNw4R3gKO6/EYwEWXNwDQtSF/Bl6pcczj8cXedxeOid0pv+zfozoNkAGsc3tuKTiEg1pzAiUtsd2gyzJsHeFebrhh0JDn+K5S6DL3Z/wcK9C0tMLJfgSmBAswFc0vIS+jbpq74fInLGFEZEBCIRwt+8y7pFjzPbGWJefBw+R/Htv3Vj6jKw+UAGtxhMr5ReuB1uC4sVkZrmdL+/yzSxw5QpU2jVqhUxMTH06NGDJUuWnNb7vv76a5xOJ+eee25Zdisip8kwDDZlbOKptX9nyA9v88u6sXyclIjP4aBeKMx1uX7ePOtqvhw7n0f7PEr/Zv0VRETEMqXuhfbhhx8yceJEpkyZQt++fXn55ZcZPnw4W7ZsoUWLU48C6fP5uOmmmxg8eDCHDh06o6JF5OT2Ze/j0x2fMmvnLFKzU6Ptia5ELml5CcMTWnP+8ldxpm+C9H/Ati9h+NPQ/HwLqxaR2q7Ul2l69epF9+7defHFF6NtHTp0YNSoUUyePPmU77v22ms555xzcDgczJgxg2+++ea096nLNCKnlhfMY37qfGb8MIPVB1dH22McMVzc/GKGtxpOv6b9is98hEOw+jX48i8QyDbbuv0CLnkUEtVRVUTKz+l+f5fqzEggEGDt2rU8+OCDJdqHDBnCsmXLTvm+N998kx07dvDuu+/yl7/85Wf34/f78fv90ddZWVk/sbVI7WMYBuvS1zHjhxnM3T2XvFAeYE481yulF1e2uZLBLQafvBOqwwkXToBOo83J9755F759H7Z+CgPuN++6cXoq+ROJSG1WqjCSkZFBOBymUaOS03k3atSIgwcPnvQ933//PQ8++CBLlizB6Ty93U2ePJnHHnusNKWJ1AoZ+RlM/34603+Yzt7svdH25onNGdlmJFe2uZKUhJTT+2GJjWDUv6HnL+Hz38P+NTD/T7DuHXNG4LZDKuhTiIiUVKaRi2w/mrLcMIwT2gDC4TDXXXcdjz32GG3btj3tn//QQw8xadKk6OusrCyaN29ellJFqj3DMFh1cBX/2/Y/vkz9kpARAiDOGcfQs4Yy8uyRdG/Y/aT/D56WZj3g1nmw4QNzWPmjO+C/V8M5Q2DoZKh/djl+GhGRE5UqjNSvXx+Hw3HCWZD09PQTzpYAZGdns2bNGtavX89dd90FQCQSwTAMnE4nc+fOZdCgQSe8z+Px4PHoNLHUbj6/j09++ISPtn/E7qzd0fauDbpyddurGdJySPmNBWK3w7nXQfvLzdmAV7wI38+FHV+Zl20G3A8x6q8lIhWjVGHE7XbTo0cP5s2bx+jRo6Pt8+bNY+TIkSdsn5SUxMaNG0u0TZkyhS+//JKPP/6YVq1albFskZprw+ENfLjtQ77Y/QX+sNl3Ks4Zx+WtL+fqdlfTvm77itt5TBIM+TN0vxm+eMgMJMueN/uUDHwYzrvJ7HMiIlKOSv1bZdKkSdx444307NmT3r1788orr5CamsqECRMA8xLL/v37eeedd7Db7XTu3LnE+xs2bEhMTMwJ7SK1WTASZMGeBfxn63/YcHhDtL1dnXZc0+4aRrQeQbwrvvIKqn82XP8RbP8C5jxkXrqZ9VtY+QoM+UuZJuATETmVUoeRcePGceTIER5//HHS0tLo3Lkzs2fPpmXLlgCkpaWRmpr6Mz9FRMC8FPPx9o95/7v3OZRnjr/jsrsY3mo417S7hq71u5a9L0h5aDsUWg+ENW/Aoifh8FZ4byy0GWSGkkadrKtNRGoMDQcvYoGdvp28t+U9Zu6YSUG4ADCHZr+23bVc3e5q6sfWt7jCk8g/Bov/DitfhkgQbHY470YY+Ih5Z46IyI9obhqRKmh9+npe3/g6i/Ytira1q9OOGzrewGWtLqseQ7If3QnzH4Utn5iv3QnQdyL0/g24NbmeiBRTGBGpIgzDYMn+Jby+8XXWpa8DzMHJLm5+MTd2vJGejXpaeymmrFJXwBcPw/615uukpjDo/6DrNWB3/PR7RaRWUBgRsVgoEmLO7jm8sekNvj/2PWD2B7myzZWM7zSes7xnWVtgeYhEYPM080yJr3AQtoad4JI/meOUVMeQJVILnWq8sDOlMCJiEX/Yz7Tvp/H25rfZn7MfMG/NHdduHDd0vIGGcQ0trrACBAtg5Yuw5Fnw+8y2Fn3g0seg+QXW1iYip+TfuQvfjBn4Pv2Ulv/5D+5mTcv15yuMiFQyf9jP1O1TeX3j66TnpwNmp9QbOtzANe2uwevxWlxhJcg7CkufhVWvQMjsmEu7ETD4j9CwAsdHEZHTFvb5yJo9m8wZMyj4tngogQYTJ1J/wq/LdV8KIyKV5GQhpHF8Y27pdAujzxlNrDPW4got4NsPCyfDN++BETHvvOl2HQx8CLzNrK5OpNYxQiFyli7FN+MTchYswAgGzRUOBwn9+uEdPZqEQQOxu8u3E73CiEgFK7oc89rG10jPM0NIo7hG3N7ldkafM7p63BlT0Q5vM2cG/m6W+drhgQtuh/6/g7i61tYmUgsUbNsevQwTzsiItnvatsU7ejTey0fgbNCgwvavMCJSQYKRINO2T+OVja8ohJyuvavNTq57lpqvPUnQ+y5z3hvNeSNSrkJHj5I1axaZM2bg37I12u6oW5eky0eQPGoUng4dKuUuPoURkXIWMSJ8sfsL/rX+X+zNNu8caRjXkNu73M6Yc8YohPwcw4Af5sP8x+BQ4ZxVsXWgzz1wwa/Ak2BtfSLVmBEIkL1okXkZZtEiCJmze+NykXjxxXhHjyKhf39sLlel1qUwIlKOlh1YxnNrn2PrUfOvjLoxdflV119xVdur8Dg0w3SpRCKwZTosfBIytpttcfWh32/h/FvBVQv72IiUgWEYFGzegm/GDLJmzSKcmRldF9O5M95Ro0gacRnOOnUsq1FhRKQcbM7YzLPrnmVl2koA4l3xjO80nps63kScS6ONnpFIGDZ+ZIaSY7vMtoTGZn+SHjeDUyFP5GRChw/jm/kpvhnT8X//Q7Td2aABSVdeYV6GOeccCysspjAicgZSs1L557p/MnfPXMAcrGxcu3Hc3vV26sao42W5Cgfh2/dh0VPFA6clNYMB98F5N4Cjck8ri1RFRiBA9sKF+KZNJ2fJEgiHAbC53SRecgne0aOI790bm7PU899WKIURkTLICmTxyrev8N537xGKhLBh4/LWl/Ob835D04TyHQxIfiQUgPXvwOJ/QPYBsy25JVz0AHQdB46q9UtWpDIUbN1K5rTpZH36aYnLMLHnnot39GiShg/DUYW/FxVGREohFAkx7ftpvLD+BY75jwHQt0lfftvjt7Sr287i6mqZYAGsfROWPAO55t1K1DkL+k2Cbr8ApzoKS80WOnaMrE9nkTl9Ov6txXfDOBs0wDtqJN7Ro/G0bm1hhadPYUTkNC0/sJynVj/FD5nmtddW3lbc3/N++jfrb3FltVwgF1a/Bl8/D3mF4yN4m0Pfe+G8G8EVY219IuXICIXIWbIE37TpZC9cCIWDktlcLhIGDyZ5zGji+/Spcpdhfo7CiMjP2JO1h7+v/jsL9y0EwOvxcme3O7m63dW47OqnUGUEcmHtW/D1PyHnkNmWmGKGku43g1sdiaX68u/YQea0afhmziR8uHhQsphOnczLMBbfDXOmFEZETiE/lM+rG17lzc1vEoqEcNqcXNv+WiZ0m1A75o+proL5sO4/8PVzkGVOQEh8A+hzN/S8VeOUSLURzsoy54aZNp2CDcVzwzjq1sV7xRV4x4wmpl3NuDysMCLyI4Zh8NXer/jbqr9xINfsINm3aV9+f/7vae2tHtdfBQj54Zv/wtJnIDPVbIutC73vNAdPi1GglKrHCIfJXbHCvAwzfz6G32+ucDpJuOgikkePImHAAGzlPDeM1RRGRI6zN3svT656ksX7FgOQEp/CA+c/wKAWgyplSGSpAOEgbPgfLPkHHN1htnm8cMFt0GsCJDS0tj4RILBnD5nTp+P7ZCahtLRou+ecc/COGYP3istx1q9vYYUVS2FEBHMyuzc2vcHrG1/HH/bjtDsZ32k8t3e5XYOW1RThEGyeDoufhoxtZpvDY45R0uduqNvK2vqk1gnn5JL9xRdkTp9G/pq10Xa714t3xAi8o0cT07lTrfhDSGFEar1Vaat4bPljpGabp/J7pfTi4V4P65JMTRWJwLbZsPRZ2L/GbLPZodNo6DsRUrpaWp7UbEYkQt6aNfimTSdr7lyMvDxzhd1OfN++JI8ZTcKgQdg9tWtkYYURqbV8fh/PrH2Gad9PA6BhbEPuP/9+hp41tFb8JVLrGQbs+doMJT/ML25vM9ic/+asfqB/B1JOgvv3kzljBr4ZnxDcuzfa7j7rLPMyzMgrcTVqZGGF1lIYkVrHMAzm7ZnHEyuf4EjBEQDGtRvHxO4TSXDrTotaKW2DeUvw5mlgRMy2pj3MUNJuBNjt1tYn1VIkP5/s+fPJnDaNvBUrzQAM2OPjSbpsON7RY4g971z98YPCiNQyh3IP8deVf+WrvV8B5sBlj/Z+lO6NultcmVQJR3fB8hdg/bsQKjDb6p0DvX8D3a7VTMHyswzDoODbb8mcOo2szz8nkpMTXRd34YUkjxlN4qWXYo/Vv6XjKYxIrRAxIny8/WOeXfssOcEcnDYnt3a5ldu73o7HUbuuzcppyDkMK1+C1a9Cgc9si6tnjlNy/m2QWHtPp8vJhTIy8H0yk8xp0wjs2BFtdzVtinf0aLyjRuFupnmrTkVhRGq8tJw0/m/Z/7EybSUAXet35U99/kTbOm0trkyqPH+2OYDaihfBVzhWicMNXa4xz5Y06mhtfWKpoqHZM6dOJWfhIgiFALDFxpI0ZAjeMWOIO78nNl3m+1kKI1JjGYbBjB9m8NTqp8gJ5hDjiOGe7vdwXfvrcNgdVpcn1Uk4BN/NguX/hn2ritvbDDJDSZvB6uxai/h37cI3bTq+GTMIHT4cbY/p1pXksWNJuuwyHAnqf1YaCiNSIx3OO8xjyx9j0b5FAHRr0I2/9vsrLZNaWlyZVHt7V5mhZOvM4s6uDdqboaTLNZqYr4aK5OWR9cVcMqd+XGJMEEedOnhHjiR57Bg855xjYYXVm8KI1Dhzds3hLyv/gs/vw2V3cdd5d3Fzx5t1NkTK17E9sPJlWPcOBLLNtrj6Zp+SnrdAYmNr65MzVqIz6uzZRHJzzRV2O/H9+5E8diyJF19c44Zmt4LCiNQYmQWZ/HnFn5m7Zy4AHep24K/9/so5dfTXilSgAp/Zr2TlS+ArHD/C7oKOI6HXr6HZ+bqEU82Ejhwp7Iw6lcAPx3VGbdGC5DFj8I4eVavHBKkICiNSI6xIW8HDSx7mcP5hnDYnv+r6K27rehsuu8vq0qS2CIdg6yfm2ZK9K4vbU7rBBb+GzmN1CacKM0IhcpYuxTd1GtlffVXcGTUmhqShQ/GOHUPc+edrTJAKojAi1VowHORf3/yLtza9hYFBK28rJvefTKd6nawuTWqzA9/Aqldh40cQLpx1NbYu9LjZvD04ubml5UmxwJ49ZE6dZnZGTU+Ptsd07UrymDEkjbgMR2KihRXWDgojUm3t9u3mgSUPsOXIFgCubns1959/P7FODSYkVUTuEVj3Nqx+HbL2mW02O7QfYZ4t0ZDzlojk55P1xRf4pk4jb/XqaLujTh28V16Jd+wYYtrq1v/KpDAi1U7RLbuTV00mP5SP1+Plsd6PMbjlYKtLEzm5cAi2f25ewtm9pLi9YUezw2vXa8Cjv74rkmEYFGzcSObHU8n67LOSnVH79SV57FUkDlRnVKsojEi14vP7+POKP/PF7i8AuKDxBTzR7wkaxaszmVQTh7aYI7t++wEEC2dsdSdAl6ug5y/NPiZSbkJHj+KbORPf1Kn4v/8h2u5q3pzksWPwjhqFq7HufLKawohUG5syNvG7hb/jQO4BnDYnvznvN9zS6RbdsivVU34mfPNfWPMGHPm+uL1JdzOUdB4D7njLyqvOjHCY3KVLySzqjBoMAmDzeEgcOoTksVdpZNQqRmFEqjzDMHj/u/d5es3ThCIhmiU046kBT9GlQRerSxM5c4YBu5fC2jdhy0yImF+ceJLMyfl63KJh509TIDWVzGnT8E2fQejQoWh7TJcuJI8dQ9KIEeqMWkUpjEiVlhPI4U/L/hQdO+SSFpfweN/HSXTrF4rUQDmH4Zv3YO1bcGxXcXvzC82B1DqO0u3BPxLJzyd77lwyp04jb1XxUP2O5GSSrryC5LFXEdNOnVGrOoURqbK2Hd3G7xb9jj1Ze3DanPyu5++4vsP1us9far5IBHYthDVvwnefgRE222PrQLfroPuN0LCDpSVayTAMCjZtKu6MmpNjrrDZiO/Xj+SxY0gYNAi7OqNWGwojUuUYhsG076cxedVk/GE/jeMb8/eL/k63BurYJ7VQ9kFY/x9Y+3bxCK8ATXvAeTeag6nF1I7fd6Fjx8iaOZPMqdPwb98ebXc1a4Z3zGiSR4/GlZJiYYVSVgojUqX4w37+suIvzPhhBgD9m/bniX5PkByTbGldIpaLhOGHBea4JdvnQMQcIRRXnHn55rwboGWfGjduiREOk7tsGZkfTyX7yy9LdkYdMoTksWOIu+ACdUat5hRGpMo4mHuQiV9NZPORzdhtdu4+725+2fmX2G36JSNSQk66eWvw+v9ARvEZAuq2MUNJt19AUvU+QxDYu7e4M+rBg9H2mE6dSL5qrNkZVb/nawyFEakSVh9czX2L7uNowVG8Hi9PD3ia3k16W12WSNVmGLBvtTlz8ObpECjqO+GAcy41L+O0HQqO6jFHU6SggOx588j8eCp5K4vn93F4vSRdeSXJY8cQ0769hRVKRVEYEUsZhsF/v/svT69+mrARpn3d9jx78bM0S2xmdWki1Ys/B7bMgPXvQury4vb4BtDlavM24cZdq9xlHLMz6mYyp00la9ZnRLKzzRU2G/F9+pB81VgSBg9WZ9QaTmFELFMQKuDPK/7MzB0zAbis1WU82udRzS0jcqYyvjcv4XzzPuQWT/5Ggw5mKOl6DSQ1sa4+CjujfjqLzKlT8W/bFm13NW1a3Bm1ibU1SuVRGBFLHMw9yL1f3cuWI1tw2BxM6jGJGzveqNt2RcpTOAg7voRv34fvZhfPIIwNWl9s9i3pcHmljfRqdkZdTua0qeTMX4BR1BnV7S7ujNqrlzqj1kIKI1LpNh7eyD1f3UNGfgZ1PHV4+qKn6ZXSy+qyRGq2/EzzMs63H5S8jOOKh45XmmdMzuoPFTC9QmDfPnzTppM5fTqhtLRoe0zHjnivGot3xAgcXm+571eqD4URqVRzds3hD1//AX/Yz9nJZ/PC4BdomtDU6rJEapeju2DD/8wzJseP9JrUtLh/yRkOqhbx+8meN5/MqR+Tt3xFtN3u9eK94gqzM2qH2jtwm5SkMCKVwjAMXvr2JaZ8OwWAAc0G8NSAp4h3aSIwEcsYBuxdZYaSzdOgwFe8rmEncybhzmOhTsvT/pEFW7eS+fFUfLNmEfEV/jybjfjevfGOHUPiJZdg93jK+YNIdacwIhWuIFTAH7/+I5/v/hyAmzrexKQekzTbrkhVEiwwB1P79gP4YX7xhH0AzS4wg0mn0ZDQ8IS3hn0+fLMKO6Nu2RptdzZJIXn0GLyjR+NupjOgcmoKI1KhMvIzuPfLe9mQsQGnzckfLvwDY9uOtbosEfkpeUdh60zY+LE5ozCFv/5tdmh1EXS5CqPdCPK+/Y7MqdPInjsXIxAwN3G5SLhkMMljryK+94XYHPqjQ36ewohUmB+O/cAdC+7gYO5BktxJPHvxs1yQcoHVZYlIaWSlmQOqbfoY9q8lmGsnc1ccvt3xBHOKg4anXTuSx44l6YrLcdapY2HBUh2d7ve3sxJrkhpg9cHV3PvlvWQHszkr6SxeGPwCLZNO/7qziFQRSSkYPW4j29eGzK//Q+7KtdETJXZXhKSW+SS3NYjpUx9b57qQoHGCpOIojMhp+3zX5zyy9BGCkSDnNTyP5wc+r4nuRKqhgu3b8U2dim/mp4SPHYu2x11wAcmXXEBi/TTs2z4BXyps+sh8uBOh3TDoOBLOvgRcCidSfnSZRn6WYRi8tfktnln7DACXtryUJ/o9QYwzxuLKROR0hXNyyPpsNplTp1KwYUO03dmwId7Ro0keMxp3y+POchbdkbNlBmz5BLL2F69zJ5hz43QcCWdfCu64yvsgUq2oz4iUi3AkzN9W/433v3sfgBs63MB9Pe/THTMi1YBhGOSvWUPmx1PJ+uILjIICc4XTSeLAgXjHjiGhXz9szp85SR6JwP61xcHEt7d4nSse2g4xg8k5Qypt1FepHhRG5IwVhAp4YPEDfLn3SwDu73k/N3W6yeKqROTnBNPT8c34BN/UqQT27Im2u9u0IXnsWLwjr8RZr17ZfrhhwP51sGW6GUwyU4vXOWPNWYU7jTKDiSfxzD6IVHsKI3JGfH4fdy24i28Of4PL7uKJ/k8w7KxhVpclIqdgBIPkLFpE5sdTyVmyBMJhAOxxcSReNpzksWOJPffc8p0nyjDgwPriMybHdhevc7jNeXLaXw7thp90HBOp+RRGpMwO5x3m1/N/zffHvifRncjzA5+nZ+OeVpclIifh37mTzKlT8X0yk3BGRrQ9tnt385bcYUOxx1fCpRPDgLRvzVCy5RM4uuO4lTZo3gvajzAf9dpUfD1SJSiMSJnszd7Lr+b+in05+6gfW5+XLnmJdnXbWV2WiBwnkptL1pw5ZE6dRv66ddF2R716eEeNJHnsWDytW1tXoGHA4W3w3Sz47jM4sK7k+oYdi4NJyrmgWb1rLIURKbXvj33Pr+f9msP5h2mW0IxXLn2F5knNrS5LRCjsjPrNN2ROnUr27M+J5OWZKxwOEgYMIPmqsSQMGIDN5bK20JPx7YNtn5vhZPdSiISK1yU1g/aXmZdzWvYBRxWsX8pMYURK5dvD33Ln/DvJCmRxdvLZvHLpKzSIa2B1WSK1XujIEXwzPiFz2jQCO4ovfbhbtsQ7dizekSNxNapG/THyj8H382Drp/DDAgjmFq+LSTY7wLYdBmcPhliN+FrdKYzIaVt2YBkTv5pIfiifbg268e/B/8br8VpdlkitZYRC5Cxdim/qVLK/Wggh80yCLSaGpKFDSb5qLLE9e5ZvZ1QrBPNh5yL47lPzzEnekeJ1Nge0uNAcz6TtMKjfVpdzqiGFETkt8/bM4/eLf08oEqJPkz48e/GzxLk0gJGIFQJ79pA5bTq+6dMJpadH22O6djU7o464DEdCgoUVVqBI2Bxkbfsc2P4FHN5acn2ds8xQ0nYotOwLTo8lZUrpVGgYmTJlCk8//TRpaWl06tSJ5557jv79+59022nTpvHiiy/yzTff4Pf76dSpE48++ihDhw4t9w8jpfPZzs94ZOkjhI0wQ88ayuR+k3Hpeq1IpYrk55M9dy6ZH08lb/XqaLsjORnvyCvxjh1LTNu2FlZokWO7YftcM5zsXgLhQPE6dwK0GWiGk3OG6LbhKqzCwsiHH37IjTfeyJQpU+jbty8vv/wyr732Glu2bKFFixYnbD9x4kSaNGnCwIEDSU5O5s033+Tvf/87K1eu5LzzzivXDyOn75MfPuH/vv4/DAxGthnJY30e06iqIpXEMAwKvv2WzGnTyZo9m0hOjrnCZiO+Xz+Sx44lcdBAbG63tYVWFf4c2LnQDCbfz4WcQyXXN+1hDkt/9iXQtDvod1mVUWFhpFevXnTv3p0XX3wx2tahQwdGjRrF5MmTT+tndOrUiXHjxvHHP/7xtLZXGClfH2//mMeXP46BwdVtr+YPF/4Bu81udVkiNV7o8GF8M2eSOW16ic6orqZN8Y4dQ/Lo0bhSUiyssBqIRCDtG/NSzvY55vLxYpKhzSAzmJw9GBIbW1CkFDnd7+9SzdobCARYu3YtDz74YIn2IUOGsGzZstP6GZFIhOzsbOrWrXvKbfx+P36/P/o6KyurNGXKT3j/u/d5YuUTAFzX/joevODB6t8JTqQKMwIBshctwjdtOjmLF0dHRjU7ow7BO3oMcRecj82uPwhOi91unv1o2h0GPgRZaebZkh0LYMdCKMiEzdPMB0CjLmYoOfsSc+A1p842VUWlCiMZGRmEw2EaNWpUor1Ro0YcPHjwtH7GP/7xD3Jzc7nmmmtOuc3kyZN57LHHSlOanIa3N7/N39f8HYDxncYzqcckBRGRClKwbTu+adPwffop4aNHo+2x556Ld8xokoYPx5GouVvOWFIK9LjZfIRDsH8N/DDffBxYD4c2mo+vnzP7mrS6CM4uPHNS5yyrq5dCpQojRX78BWYYxml9qb3//vs8+uijfPLJJzRseOoORw899BCTJk2Kvs7KyqJ5cw2+dSZe2/ga/1z3TwBu73I7d593t4KISDkL+3xkzZ5N5tRpFGzaFG13NKhP8siReEePxtNGQ6FXGIfTvB24xYUw6A+Qcxh2flUYThZAXgZs+8x8ANQ7G9oMNufQOasvxGhIA6uUKozUr18fh8NxwlmQ9PT0E86W/NiHH37IrbfeykcffcQll1zyk9t6PB48Ht22VV5e3fAqz69/HoA7z72TCV0nKIiIlBMjHCZ3xQp8U6eRPX8+RqDwrg+nk8SBA/GOGU1C//7YnGX620/OREID6HqN+YhE4OCG4mCydyUc+cF8rHrZHNekaQ8zmLS+GJqdr0s6lahMHVh79OjBlClTom0dO3Zk5MiRp+zA+v777/PLX/6S999/n1GjRpW6SHVgLbs3N73JM2ufAeDe7vdyW5fbLK5IpGYIpKaSOX06vhmfEEpLi7Z72rYleewYkq64AudP9I0TixX4zDt0ih5Hd5Zc74o3h6cvCieNOmnQtTKokA6sAJMmTeLGG2+kZ8+e9O7dm1deeYXU1FQmTJgAmJdY9u/fzzvvvAOYQeSmm27in//8JxdeeGH0rEpsbCxer06JVaT/bPlPNIjcde5dCiIiZyiSl0fW3Ln4pk4rMSaIPSkJ7+Uj8I4ZS0ynjjrzWB3EeKHjSPMBkJlqjgZbFE7yMuCHeeYDIL6B2d+kKJwkq+tAeSrzoGdPPfUUaWlpdO7cmWeffZYBAwYAMH78eHbv3s3ChQsBuPjii1m0aNEJP+Pmm2/mrbfeOq396cxI6R1/18yEbhP4zbm/sbgikerJMAzy139D5rSpZH8+h0hu4VwqNhvxffqQPHYMCYMHY9el5ZojEoH0LcXBZM/XEMwruU3dNtD6IjirH7TsB4k/3VWhttJw8LXYR9s/4vHljwNwa+dbubf7vfpLTaSUgofS8c38BN+06QR27Yq2u1q0IHnMaHOCOo0JUjuEArBvdXE42b8WjHDJbeq3NYPJWf3NZ40KCyiM1FrTv5/OH5eZg8nd3PFmftfzdwoiIqfJCATI/mohvmnTyFmyxPwLGbDFxpoT1I0dUzMmqJMzU+CD3V/D7qXmUPUHNwI/+iqt364wnPSr1eFEYaQW+nTHpzyy9BEMDK7vcD0PnP+AfmmK/AzDMPBv3UrmjBlkzfyUcGZmdF1s9+4kjx1D4tBhOBLirStSqra8o5C6/LhwsgmFE5PCSC0zf898frfod0SMCOPajeORXo8oiIj8hNDhw/g+nYVvxgz827dH250NG+IdORLvmNF4WrWysEKptk43nLTsDS16m+OiJLeskXfrKIzUIssPLOc3C35DMBJk9NmjebTPo5prRuQkIn4/OV99hW/6DHKWLi0emt3tJmHwIJJHjSK+b1+NCSLlK+8o7FlWGE6WmiPC/lhiEzOUtOxjPjfsWCMm/FMYqSW+Pfwtt8+9nfxQPpe2vJSnBzyt2XdFjmMYBgUbNpiXYWZ/TsTni66L7dYN7+hR5tDsGmpAKkveUUhdAanLzOcD6yESKrmNxwvNLyg+e9KkO7hirKn3DCiM1ALbj21n/JzxZAey6dOkD/8a9C/cDo0YKAIQPHgQ38xP8c2YQWBn8YBWzsaNzcswI0fiaa3LMFIFBPLMO3RSl5uPvasgkFNyG4fbDCRFZ0+aXwCxdayptxQURmq4vVl7uWnOTWTkZ9CtQTdeufQV4lxxVpclYqlIfj7Z8xfgmz6d3OXLofDXmy0mhsQhl5I8ahRxvXphc+jsoVRh4RAc2lR89mTPcshNP3G7+m2h2QXQ/HzzuUG7KndpR2GkBkvPS+emz29if85+2tZpyxtD38Dr0SlmqZ0MwyB/3Toyp08vOSgZENezJ97Ro0gcOhRHQoKFVYqcAcMwh6s/Ppwc3XHidp4kaNq9MKBcAM16Wn72RGGkhsosyGT8nPHs8O2gRWIL3h7+NvVj61tdlkilC+zbj++TGfg+mUkwNTXa7mrWzLwMM2okbs32LTVV7hFzILZ9q8zLOvvXQTD3xO1OOHvSHuyVd4ODwkgNlBfM47a5t7ExYyMN4xryzvB3aJrQ1OqyRCpNJDeXrC/m4psxg7xVq6Lt9rg4EocNI3n0KGJ79MBWib9sRaqEcMgcwn7fKti72gwqP3f2pFlPc6bi+Ir7g1ZhpIYJRULc+9W9LN63GK/Hy9vD3qZNchuryxKpcEY4TN7Klfg+mUnW3LkY+fnmCpuN+N4X4h01isRLLsEepz5TIiWc7tmTOmeZoaTnrXBW33ItocJm7ZXKZxgGf1nxFxbvW4zH4eGFQS8oiEiNV7BtG76ZM8n6dBah9OLOe+6zzsI7ahTekVdqbhiRnxJfD9oNMx9w3NmT1bBvDexfAxnb4dhu89F+hGWlKoxUAy99+xJTv5+K3WbnqQFPcW7Dc60uSaRCBA+lkzVrFr6ZM/Fv2xZtt3u9JA0fRvKoUcR066bRhUXKwuGElK7m4/xbzbb8THOck/1roEUfy0pTGKnipm6fypRvpwDwSK9HGNRikMUViZSvSG4uWfPmkTVzJrnLVxTfjutykXDxxXhHXkn8gAHY3RpDR6TcxSZDm4Hmw0IKI1XY4n2L+fOKPwNwe5fbuabdNRZXJFI+jFCI3OUr8M2cSfb8+cX9QIDYHj3wXnEFScOG4khOtq5IEak0CiNV1MbDG7lv0X2EjTBXtrmSu8+72+qSRM5I0ey4vk9m4pv9GeHDGdF17pYtSRp5Jd4rrtDtuCK1kMJIFZSalcpvFvyG/FA+fZv05dE+j+oauVRbwbQ0fJ/OIuvTmfi//yHa7qhTh6TLLsN75RXEdO2qf+MitZjCSBWTWZDJHfPv4Jj/GB3qduCZi5/BZXdZXZZIqYRzcsj+Yi6+mTPN8UCK+oG43SQMGoT3yitJ6N8Pm0v/tkVEYaRKCYaDTFw4kdTsVJrEN2HKJVM034xUG5FAgNwlS/DNmkXOl19h+P3RdXHnn4935JXmsOyJiRZWKSJVkcJIFWEYBo8uf5S1h9YS74rnhcEvaJh3qfKMcJi81avJ+uwzsr6YSyQrK7rO3bo13iuvxHvF5biaaqRgETk1hZEq4rWNrzFzx0wcNgf/uOgfnFPnHKtLEjkpwzAo2LSZrFmzyJo9m9Dhw9F1zoYNSRoxgqQRI4jp1FH9QETktCiMVAFf7P6C59c/D8BDFzxE36blOxyvSHnw79xlBpDPPiOwZ0+03e71kjRkCEmXX05czx7YHFVrCnMRqfoURiy24fAGHln6CAA3dLiBce3HWVyRSLHgwYNkzf6crFmzKNiyJdpui4khcdAgki6/nIR+fbFpQDIROQMKIxY6kHOAe768B3/Yz4BmA7iv531WlyRCODOTrC/mkvXZZ+StXh29Ewank/i+ffBefjmJgwZhj4+3tlARqTEURiySG8zlri/v4kjBEdrVacdTA57CYdfpbbFGJC+P7K++ImvWZ+QsXQrBYHRdbM8eZgAZOhRnnToWVikiNZXCiAUiRoRHlj7C98e+p35sfV4Y/ALxLv2VKZUrUlBAzqLFZH3+OTkLF2IUFETXedq3x3v5CJIuuwxXkyYWVikitYHCiAVe+vYlFqQuwGV38dzA52gc39jqkqSWiPj95C5dStbsz8n+6iuMvLzoOlfz5iRdPgLviBF4zj7bwipFpLZRGKlk8/fM58VvXwTgj73/SLcG3SyuSGo6IxAg5+uvyZ4zh+wFXxLJyYmuczVpQuLwYSQNv0y34oqIZRRGKtH2Y9t5eOnDgHnnzKizR1lbkNRYRjBI7ooVZH0+h+z580sMRuZs1IikYcNIumy45oQRkSqhVoeRP8zYyNzNh7DZwG6zYbfZjlvmR6/NZdtx6+w2cNhtuBz2wocNp8OO22HH6bBF21wOO2FyWZD1MPmRfJp4uhCXM4pXFu/A7bAT43IUPux4nA48rsK2Esvms8dpx+mwW33opAoyQiHyVq0i6/PPyZ47j7DPF13naFCfpKFmAIk991xsdv0bEpGqo1aHEV9+iPRs/89veMbCxLZ4A2d8OpFAXbZtH8W28A8//7ZTcNpt0WAS4zIDS7zbSazbQbzbQZzHaT67ncS5HcR7Cp/dTuI8DuIK15342qGgU80YoRB5a9aQNWeOGUCOHo2uc9StS+LQISQNH05cDw1GJiJVl80wigYRqLqysrLwer34fD6SkpLK7efuO5aHLz+IYZhDKUQMo/BhDnl9sueibQwgEjEIRQyC4QihsPkcDBuEIhECoYi5LhRhybHX2Jo7G6cthosT/0wcTaPbBkIR/KEwBcEIBcEwBaEw/mCEguPa/CHz51UGt9NOgsdJgsdJYkzRs4vEmOLXCTGFbT+xjUJNxTECAXJXriR77lyy5y8gfOxYdJ0jOZnESy8l6bLhxJ1/PjZnrf57Q0Qsdrrf37X6N1WzOnE0q+BhEz754RO27psNwN8vfpLBLQaX6edEIgb+UHE4KQouRYElPxAmNxAiLxAmzx8iNxAmL/r6uHWFz7n+otfmcihiZtJAKMLRUICjuYEz+tyxLkdhaHGSWBhgkmJcJMW48Ma58Ma6SIpxkhRbuFz4bLa7cDsVZo4XKSgg9+uvzQDy5VdEsrOj6xxeLwmXDCZp2HDiL+yFzeWysFIRkdKr1WGkon139Dv+vOLPANzR7Y4yBxEAu91GrNtBrLtiTrUHQhHyAmaIyfWHyC4IkV0QJKdwOafwdfbxr/3BwufitvxgGID8YJj8YJjDZbwMFutyFIeTWGeJwJIUc1xwOT7EFG4X63LUiE6ZkdxcchYvJmvuXHIWLS5xG66jfn0SLxlM0tChOgMiItWefoNVEJ/fx8SvJuIP++nftD8Tuk2wuqSf5HbacTvdJMed2c8JhiPHhZmSgSarIEhWfhBffpCs/BC+wmVffpCsAvM5uyAEFIeZg1kFP7PHE7kcNryxbpLjXNSJc5VYTo4zl5ML25IL2+rEVY0QE87OJuerr8iaO5fcJUsx/MVhzpmSQuKll5A0ZAix552nPiAiUmMojFSAiBHh4aUPsz9nP00TmjK5/2Tsttpx2cHlsBd+4Zdt4rRwxCCn4ORBJfq6xLpQidfhiEEwbJCR4ycjp3RnZdwOO96i0PKjsFIUYOrEmZeZkmPd1Ik3n8/0bFXo6FFyvvzSDCDLV5QYit3VvDlJQ4eQOGQIMV26WB6WREQqgsJIBXhlwyss3rcYj8PDsxc/i9fjtbqkasNht5l9SuJK3+/BMAzyAmF8+UEy84Jk5gfM5xLLAY7lBfEVth0rbAuGDQLhCIez/aW+tORx2k8421Inzl0cWn4UaurEuYnPSMP/1Vdkf/kl+evXQ6S4g7K7TRsSh1xK0pAheNq3VwARkRpPYaScfb3/a6Z8MwWAP1z4BzrU62BxRbWHzWYj3uMk3uOkSXLsab+vKMRk5gc5lhuIhpljeebysdwAmUUBJ69o2Qw3ocKOxYey/BzKOnWIsRkRzsncR++0TfRO20zL7EMl1h9s0ILdnS4g/bw+2M9qZYaZXBd1tqZTJ9681FSnsOOv7lQSkZpGYaQc7c/ZzwNLHsDA4Kq2V2mE1Wri+BDTtJQhJjcQjgaYY4UBJTM/SGZugKzsPGI3rydl4ypaf7+OpNziQchCNjsb67dhReNOrEjpSHpcXXPFrgjs2vGT+02McVInruiSkflcJ86NN9a8xFQnvmjZHT1DkxTj1BkWEamyFEbKiT/sZ9LCSfj8PjrX68xDFzxkdUlSwWw2W3RMluaFbWGfj5zFi8le8CW5S5YQyc2Nbm+PiyN+wAASBg7EuLAvSc4YOuUFGZNX8hJS0dmX6HLhWZqizr1FnYNTj56kqFNw2G14Y4svISXHFnfcLe7EW/IyU3IV6dQrIjWfwkg5eXLVk2w5soVkTzLPXPwMbkfZOnBK9RPYs4echQvJXriQvNVrIBSKrnM2aEDCoEEkXjKYuF69sLuL/13UAVrWO/39hMKRwjMwQXz5AY7lHncp6bi+MMXL5nN+MEw4YnA0t2j8mNyf3VcRt9NeokNvcWD5UV+YWPOMTFHfGY0TIyKloTBSDmbvnM3H2z/Gho2/9f8bKQkpVpckFcgIBMhbu5achYvIWbSIwO7dJda7z25D4qDBJF4ymJjOncttHhinw069BA/1Ejylel9BMFwcWHILg0xRn5i84y4vFS3nH9ep9zT6w5xMvNtRosNuyTMuReHluCAT5yYp1oXDrrMwIrWRwsgZ2u3bzWPLHwPgV11/RZ+mfSyuSCpCKCODnEWLyVm0iNyvvy5x+QWnk7iePUm46CISBw3E3bKldYWeRNFEjI2SYk77PUX9YY6/TFTyUlLRcnHn3qKzNIaBOXheIJ/9mfmnvU+bDZJiXKfoC+Mu7Mhb3BemKOAkeNQfRqS6Uxg5A/6wn/sW3UdeKI+ejXpyR7c7rC5JyokRiVCweQs5i8yzHwUbN5ZY76hXj4QBA0i46CLi+/bBkZhoUaUV4/j+MKWZMiESMcgqCJYMMIWXlE7VFyYzzxwYzzCIjhfDkbyf31khp91W4tJR0Z1HRR15T/ZIKpyOQHcmiVQNCiNn4OnVT7Pt2DbqxtTlbwP+hsOuETGrs7DPR+7y5eQsWULO4sWED2eUWB/TqRMJF11EwsCLienUqdwuv9QkdrstOujdWcSf9vuC4UiJW6eP5R4XZH58Jua4S0r+wgkpM3ICZOSUfj6lBI+zRDg5WWj58XLRtAMep/5/FykvCiNlNGf3HD7c9iE2bEzuN5mGcQ2tLklKyQiFyN+wkdylS8n5eikFGzeVGHzMHhdHfN8+JFx8MfH9++NqqP/GFcXlsNMg0UODxNL3hynqC1M0sN2PLykdP2pv0XNuwJxDKccfIscfKtXlpCIxLnuJyR1PDC0nOyNTs+ZPEikvCiNlkJqVyqPLHgXgti63qZ9INRI8cICcpUvJXfo1uStWEMnKKrHefXYbEvr2I+GiAcT27Fni7hepemJcDlK8saR4T398GDDPxGT/eNqBkyz/eCoCX545WaRhUDhjduk790LR/EkuEmNcJBbOaJ1YNMt14ezWJV7HFm9T9KxLTFKTKIyUUiAc4L5F95EbzKV7w+7cee6dVpckPyGSn0/e6tXRABLYubPEervXS3zv3iT060t83764UnQnVG3gctipG++mbnzpw2YkYpDtD500vJScUyl0YrjJN0ftNedPKtulpSKxLocZTmJd0dBSFFaSfhRkEj2ukq9jXCR6nNh195JUEQojpfSPNf9g69GtJHuS+duAv+G06xBWJUYwSP7GTeStXEHuipXkr1+PETjuF77dTmy3bsT360tCv37mrbea/VZKwV44gJw31hUd7O50HT9/UtEs1dkFweis1iWeT7E+r/ASU9HM1umlnEvpeIkeZ4kgkxjjJCHGRYLHUdiB2UW8xww9J10ufNZZGjlT+iYthYV7F/Lf7/4LwBP9nqBxfGNrCxKMSAT/tm3kLl9B7soV5K9eQySv5J0YziYpJPTtR3y/fsT3vhBHUpJF1UptV9b5k44XCkfI8YfIyi8OKNkF5pmY7ONf54fI9pcMNkXb+ENm36hsf4hsfwh8BWf0uWJcdhIKz77EHxdkEjwOEmKOW/YcH3Zchesc0XAT79bZmtpKYeQ0Hc47zB+//iMAN3e8mf7N+ltcUe1kGAaBXbujZz7yVq4knJlZYhtHcjJxvXoRf2Ev4npdiLvVWeosKDWG02GP3rFUVv5QODqtQDS4FJj9YXIKQuQWduzN9hcuFxy3fNzrQGGoKeo/k5FT9rM0RRI8xwcaJ3FuZ2GAc5jLbgdxnuLnhGi7k7jCQBPndhDvMZ89Trv+/68GFEZOQ8SI8MjSRzjmP0b7uu25p/s9VpdUa0TDx9o15K9ZQ+6KlYQOlZzx1h4XR+z5PYm/sDfxF/bC066dbrsV+QkepwNPgoP6pRzN98cCoUhxQDkuqJxyOVDclus3w1DR+nDEAIrvcDrEmQcbMMehOT6cRJ9/KuS4zfb4aBgqDjlxbicxLgWc8qYwchr+s+U/LE9bTowjhr8N+JvmnalARjiMf/t28lavIW/tWvLWrCF85EiJbWwuF7Hdu0fPfMR26YzN5bKoYpHay+2043a6qVOGjsDHMwwDf8i8wyl6VqYwqOQFzH4yuf7C54C5TZ7fXP7xujx/mBx/KHopKhQxyCq8RFVebDazA3Gsy0Gs20Gcu3g51mUGluJlR4nlmML1xcuOE7aNcTpq3eUqhZGf8d3R7/jnun8CcP/599Pa29riimoWIxAgf9Nm8tauIW/NGvLXrSeSnV1iG5vbTWy3bsT27EH8+ecT27079pjTH9pcRKo2m80WnbagtGPNnEooHCEvGC4OLdHwEiLHHybPHyI3cNxzIESuP1y4vmTIKVqXHzQ7DxsGhe3h0sw7WSoxLrsZao4LPEXhpUSQcTmILQo3TrsZZgqPZdF7Y5wOYt12PM7i4BPjclSpuaAURn5Cfiif3y/+PcFIkIHNB3J126utLqnaCx05Qv433xQ+viV/40aMgpKd5+zx8cR2705cz57E9exBTJcuGu9DRErF6bCT5LCTFFN+Z03DEYP8oBlOCgIR8oJmWCkoDCb5wTD5heElPxghPxAq3N5sjy4ft11BMFK4fZiCYPGgi2Y/nLLf+n063A47MS67GVzcDh65rANDOllzY4bCyE94evXT7PLtokFsAx7r85iuEZaSEQxS8N028r/9NhpAgvv2nbCdo06daPCI7dmTmHbtsDn1T1NEqhaHvXjOpooQKQw7xWElXBx+CoNMXiAcXc4/bn1eIIw/GKGg6P2F4aYgGC5uC4Sjl68AAuEIgXAkegkrGDYq5HOdDv3GP4UFqQv4aPtHAPy131+pE1OK2cJqIcMwCKWlkb9pU2H4+JaCTZsw/D/qhGaz4Tn7bGLP7UbsuecSe955uFu1UtATkVrPbi++9buiRCJm/5ySocV8tKqfUGH7/TkKIyeRnpceHe59fKfx9G7S29qCqhjDMAgdPEjB5s3kb9pEweYtFGzaRPjYsRO2tXu9xHbravb5OPdcYrt2rXEz3IqIVBd2u83sN+J2UJX+xFYY+RHDMPjjsj+S6c+kQ90O3HNe7b6N1zAMQocOUbDFDBz5mzdTsGnzCXe4AOB04jnnHGK7dDGDx7ndcJ91lm6zFRGRn6Qw8iMff/8xX+//GrfdzeT+k3E5as8to5H8fPzff0/Btm34t23Hv20bBdu3E/H5TtzY4cBz9tnEdO5ETKdOxHbujKddO+ye8ukJLyIitYfCyHH2Zu3l6dVPA3Bv93tpk9zG4ooqhhEKEdi7l8DOnSWCR2DPHvOetR9zOPC0bk1M587EdO5EbKdOeNq31+21IiJSLhRGCoUjYR75+hHyQ/n0bNSTGzreYHVJZyySl4d/5y4Cu3bi37GDwM5d+HfuILAnFYLBk77HUbcuMe3b4WnXHk+7tsS0a4e7TRvdWisiIhVGYaTQO1veYX36euKccfyl31+w26pHP4dIXh6BvfsI7k0lkLqXwN5Ugql78e/aSehA2infZ4uJwd26FTHntMXTrl00eDjr16/E6kVERMoYRqZMmcLTTz9NWloanTp14rnnnqN//1NPHLdo0SImTZrE5s2badKkCb///e+ZMGFCmYsub9uPbedf6/8FwIMXPEjThKYWV1QsUlBA6OBBggcPEkw7SHD//uOCx17CGRk/+X5H3bq4W7fC07qN+dymDZ7WrXGmpKhjqYiIVAmlDiMffvghEydOZMqUKfTt25eXX36Z4cOHs2XLFlq0aHHC9rt27eKyyy7j9ttv59133+Xrr7/mzjvvpEGDBowdO7ZcPsSZCIaDPLzkYYKRIBc1u4hRZ4+qlP0a4TDhY8cIHTlK+EgGoSNHCB48SCitMHgcTCOUdvCkt8v+mN3rxd28Oe4WzXE1M5/drVrhbt0aZ52qdPOWiIjIiWyGcbIei6fWq1cvunfvzosvvhht69ChA6NGjWLy5MknbP/AAw8wc+ZMtm7dGm2bMGEC3377LcuXLz+tfWZlZeH1evH5fCQlJZWm3J/1/LrneXXjqyR7kpk+cjr1Y0t3mcIwDIyCAsJZWUSysggXPszlbMJZPiJZWWboOHqEUMYRQkeOmCEjEvn5HQC22FhcjRvjSmmMMyUFd/MWZvAofHZ4vWX56CIiIhXqdL+/S3VmJBAIsHbtWh588MES7UOGDGHZsmUnfc/y5csZMmRIibahQ4fy+uuvEwwGcZ1ktlW/34//uJE7s7KySlPmadv4zvOE5r7MrRGDvo3aEtj0HAfCEYxwCMIRjEgYQiEiBX6M/HwiBQVECvIx8guIFBRE2043VJzAZsORnIyzfj0cdevhbNQQV+MUM3Q0bowrJQVX48bYvV6NUCoiIjVWqcJIRkYG4XCYRo0alWhv1KgRBw8ePOl7Dh48eNLtQ6EQGRkZpKSknPCeyZMn89hjj5WmtFIzDIMtn73H8G+LgsQyTjKaxulzOHAkJmL3JuFITMKRlIQ9yXx2JCXiqFPXDB316heGj7o469bVHCwiIlLrlemb8Md/pRuG8ZN/uZ9s+5O1F3nooYeYNGlS9HVWVhbNmzcvS6k/WdN5V01gZcr/uLjlYGLcsdgcTnDYsdkd5nPha3tMLPbYGGwxMdhjY7HHxmI7vi0uHnt8nM5eiIiIlEGpwkj9+vVxOBwnnAVJT08/4exHkcaNG590e6fTSb169U76Ho/Hg6cSRvJse/UttL36lgrfj4iIiJxaqe7tdLvd9OjRg3nz5pVonzdvHn369Dnpe3r37n3C9nPnzqVnz54n7S8iIiIitUupB5qYNGkSr732Gm+88QZbt27lt7/9LampqdFxQx566CFuuumm6PYTJkxgz549TJo0ia1bt/LGG2/w+uuvc99995XfpxAREZFqq9R9RsaNG8eRI0d4/PHHSUtLo3PnzsyePZuWLVsCkJaWRmpqanT7Vq1aMXv2bH7729/y73//myZNmvD8889XiTFGRERExHqlHmfEChU5zoiIiIhUjNP9/tZ44CIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiqVIPB2+FokFis7KyLK5ERERETlfR9/bPDfZeLcJIdnY2AM2bN7e4EhERESmt7OxsvF7vKddXi7lpIpEIBw4cIDExEZvNVm4/Nysri+bNm7N3717NeVPBdKwrh45z5dBxrhw6zpWnoo61YRhkZ2fTpEkT7PZT9wypFmdG7HY7zZo1q7Cfn5SUpH/olUTHunLoOFcOHefKoeNceSriWP/UGZEi6sAqIiIillIYEREREUvV6jDi8Xj405/+hMfjsbqUGk/HunLoOFcOHefKoeNceaw+1tWiA6uIiIjUXLX6zIiIiIhYT2FERERELKUwIiIiIpZSGBERERFL1eowMmXKFFq1akVMTAw9evRgyZIlVpdUbUyePJnzzz+fxMREGjZsyKhRo9i2bVuJbQzD4NFHH6VJkybExsZy8cUXs3nz5hLb+P1+7r77burXr098fDxXXnkl+/btq8yPUq1MnjwZm83GxIkTo206zuVn//793HDDDdSrV4+4uDjOPfdc1q5dG12vY33mQqEQf/jDH2jVqhWxsbG0bt2axx9/nEgkEt1Gx7lsFi9ezBVXXEGTJk2w2WzMmDGjxPryOq7Hjh3jxhtvxOv14vV6ufHGG8nMzDyz4o1a6oMPPjBcLpfx6quvGlu2bDHuvfdeIz4+3tizZ4/VpVULQ4cONd58801j06ZNxjfffGOMGDHCaNGihZGTkxPd5sknnzQSExONqVOnGhs3bjTGjRtnpKSkGFlZWdFtJkyYYDRt2tSYN2+esW7dOmPgwIFGt27djFAoZMXHqtJWrVplnHXWWUbXrl2Ne++9N9qu41w+jh49arRs2dIYP368sXLlSmPXrl3G/PnzjR9++CG6jY71mfvLX/5i1KtXz5g1a5axa9cu46OPPjISEhKM5557LrqNjnPZzJ4923jkkUeMqVOnGoAxffr0EuvL67gOGzbM6Ny5s7Fs2TJj2bJlRufOnY3LL7/8jGqvtWHkggsuMCZMmFCirX379saDDz5oUUXVW3p6ugEYixYtMgzDMCKRiNG4cWPjySefjG5TUFBgeL1e46WXXjIMwzAyMzMNl8tlfPDBB9Ft9u/fb9jtdmPOnDmV+wGquOzsbOOcc84x5s2bZ1x00UXRMKLjXH4eeOABo1+/fqdcr2NdPkaMGGH88pe/LNE2ZswY44YbbjAMQ8e5vPw4jJTXcd2yZYsBGCtWrIhus3z5cgMwvvvuuzLXWysv0wQCAdauXcuQIUNKtA8ZMoRly5ZZVFX15vP5AKhbty4Au3bt4uDBgyWOscfj4aKLLooe47Vr1xIMBkts06RJEzp37qz/Dj/ym9/8hhEjRnDJJZeUaNdxLj8zZ86kZ8+eXH311TRs2JDzzjuPV199Nbpex7p89OvXjwULFrB9+3YAvv32W5YuXcpll10G6DhXlPI6rsuXL8fr9dKrV6/oNhdeeCFer/eMjn21mCivvGVkZBAOh2nUqFGJ9kaNGnHw4EGLqqq+DMNg0qRJ9OvXj86dOwNEj+PJjvGePXui27jdburUqXPCNvrvUOyDDz5g3bp1rF69+oR1Os7lZ+fOnbz44otMmjSJhx9+mFWrVnHPPffg8Xi46aabdKzLyQMPPIDP56N9+/Y4HA7C4TB//etf+cUvfgHo33RFKa/jevDgQRo2bHjCz2/YsOEZHftaGUaK2Gy2Eq8NwzihTX7eXXfdxYYNG1i6dOkJ68pyjPXfodjevXu59957mTt3LjExMafcTsf5zEUiEXr27MkTTzwBwHnnncfmzZt58cUXuemmm6Lb6VifmQ8//JB3332X//73v3Tq1IlvvvmGiRMn0qRJE26++ebodjrOFaM8juvJtj/TY18rL9PUr18fh8NxQopLT08/ITXKT7v77ruZOXMmX331Fc2aNYu2N27cGOAnj3Hjxo0JBAIcO3bslNvUdmvXriU9PZ0ePXrgdDpxOp0sWrSI559/HqfTGT1OOs5nLiUlhY4dO5Zo69ChA6mpqYD+TZeX+++/nwcffJBrr72WLl26cOONN/Lb3/6WyZMnAzrOFaW8jmvjxo05dOjQCT//8OHDZ3Tsa2UYcbvd9OjRg3nz5pVonzdvHn369LGoqurFMAzuuusupk2bxpdffkmrVq1KrG/VqhWNGzcucYwDgQCLFi2KHuMePXrgcrlKbJOWlsamTZv036HQ4MGD2bhxI99880300bNnT66//nq++eYbWrdureNcTvr27XvC7enbt2+nZcuWgP5Nl5e8vDzs9pJfPQ6HI3prr45zxSiv49q7d298Ph+rVq2KbrNy5Up8Pt+ZHfsyd32t5opu7X399deNLVu2GBMnTjTi4+ON3bt3W11atXDHHXcYXq/XWLhwoZGWlhZ95OXlRbd58sknDa/Xa0ybNs3YuHGj8Ytf/OKkt5E1a9bMmD9/vrFu3Tpj0KBBtf72vJ9z/N00hqHjXF5WrVplOJ1O469//avx/fffG++9954RFxdnvPvuu9FtdKzP3M0332w0bdo0emvvtGnTjPr16xu///3vo9voOJdNdna2sX79emP9+vUGYDzzzDPG+vXro0NWlNdxHTZsmNG1a1dj+fLlxvLly40uXbro1t4z8e9//9to2bKl4Xa7je7du0dvS5WfB5z08eabb0a3iUQixp/+9CejcePGhsfjMQYMGGBs3LixxM/Jz8837rrrLqNu3bpGbGyscfnllxupqamV/Gmqlx+HER3n8vPpp58anTt3Njwej9G+fXvjlVdeKbFex/rMZWVlGffee6/RokULIyYmxmjdurXxyCOPGH6/P7qNjnPZfPXVVyf9vXzzzTcbhlF+x/XIkSPG9ddfbyQmJhqJiYnG9ddfbxw7duyMarcZhmGU/byKiIiIyJmplX1GREREpOpQGBERERFLKYyIiIiIpRRGRERExFIKIyIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRS/w+MYRa6yvoKgwAAAABJRU5ErkJggg==\n"
      },
      "metadata": {}
@@ -144,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -162,14 +162,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:52:17.806177</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m7b1b2938d1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m7b1b2938d1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m7b1b2938d1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m7b1b2938d1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m7b1b2938d1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m7b1b2938d1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m7b1b2938d1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m151bc36407\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m151bc36407\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m151bc36407\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m151bc36407\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m151bc36407\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m151bc36407\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pd8b232aae1)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pd8b232aae1)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pd8b232aae1)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pd8b232aae1)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd8b232aae1\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:45.067907</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m155ea4fa32\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m155ea4fa32\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m155ea4fa32\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m155ea4fa32\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m155ea4fa32\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m155ea4fa32\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m155ea4fa32\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mac608b5a09\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mac608b5a09\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mac608b5a09\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mac608b5a09\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mac608b5a09\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mac608b5a09\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p2d0c38f3bb)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p2d0c38f3bb)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p2d0c38f3bb)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p2d0c38f3bb)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p2d0c38f3bb\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -192,112 +192,112 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "output_type": "stream",
      "name": "stdout",
      "text": [
-      "Epoch: 0\t Loss: tensor(5.0924e-08, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 0\t Loss: tensor(5.4204e-08, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0251, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1172, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.0972, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(1.7863e-09, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0228, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1157, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.0973, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(1.9755e-09, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0932, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1684, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1580, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(1.9583e-09, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0920, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1693, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1577, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(2.0686e-09, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0967, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1525, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1923, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(1.8069e-09, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0965, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1552, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1903, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(1.7562e-09, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0981, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0909, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1966, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(9.8425e-10, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0976, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0972, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1963, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(1.0491e-09, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0990, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0218, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.0991, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0294, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1926, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(6.6682e-10, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 5\t Loss: tensor(7.1560e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0967, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0356, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1918, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(4.3547e-10, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0968, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0294, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1916, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(4.6864e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0978, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0831, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1929, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(2.9978e-10, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0976, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0779, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1925, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(3.0227e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0983, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1227, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1947, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(1.9765e-10, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0981, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1186, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1944, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(2.0427e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0988, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1572, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1958, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(1.1863e-10, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0986, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1537, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1955, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(1.2669e-10, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0989, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1860, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1965, requires_grad=True)}\n",
-      "Epoch: 10\t Loss: tensor(7.3628e-11, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0991, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1835, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1969, requires_grad=True)}\n",
+      "Epoch: 10\t Loss: tensor(7.9409e-11, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2103, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1975, requires_grad=True)}\n",
-      "Epoch: 11\t Loss: tensor(4.3234e-11, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.2084, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1974, requires_grad=True)}\n",
+      "Epoch: 11\t Loss: tensor(4.5179e-11, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0994, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2306, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2287, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1976, requires_grad=True)}\n",
-      "Epoch: 12\t Loss: tensor(2.6147e-11, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 12\t Loss: tensor(2.7858e-11, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0995, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2464, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.2446, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1981, requires_grad=True)}\n",
-      "Epoch: 13\t Loss: tensor(1.5700e-11, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 13\t Loss: tensor(1.7394e-11, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2590, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1987, requires_grad=True)}\n",
-      "Epoch: 14\t Loss: tensor(9.1202e-12, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2574, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1986, requires_grad=True)}\n",
+      "Epoch: 14\t Loss: tensor(9.0507e-12, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
-      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2690, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1990, requires_grad=True)}\n",
-      "Epoch: 15\t Loss: tensor(4.6565e-12, grad_fn=<MseLossBackward>)\n",
+      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2676, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1988, requires_grad=True)}\n",
+      "Epoch: 15\t Loss: tensor(5.6748e-12, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2768, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.2754, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1991, requires_grad=True)}\n",
-      "Epoch: 16\t Loss: tensor(2.7278e-12, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 16\t Loss: tensor(3.2592e-12, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2828, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.2816, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 17\t Loss: tensor(1.4706e-12, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 17\t Loss: tensor(1.6021e-12, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2873, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.2864, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1994, requires_grad=True)}\n",
-      "Epoch: 18\t Loss: tensor(7.0044e-13, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 18\t Loss: tensor(9.2377e-13, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2906, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.2898, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1995, requires_grad=True)}\n",
-      "Epoch: 19\t Loss: tensor(4.3328e-13, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 19\t Loss: tensor(4.5694e-13, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
       "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2930, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.2925, requires_grad=True), 'g2': Parameter containing:\n",
       "tensor(0.1996, requires_grad=True)}\n"
      ]
     }
@@ -312,18 +312,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "output_type": "execute_result",
      "data": {
       "text/plain": [
-       "{'a': 0.09994413703680038, 'g1': 0.2930056154727936, 'g2': 0.19959327578544617}"
+       "{'a': 0.09993458539247513, 'g1': 0.2925073206424713, 'g2': 0.19956320524215698}"
       ]
      },
      "metadata": {},
-     "execution_count": 11
+     "execution_count": 10
     }
    ],
    "source": [
@@ -341,7 +341,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -349,17 +349,17 @@
      "data": {
       "text/plain": [
        "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9820e-01, 1.7963e-03, 0.0000e+00],\n",
-       "        [9.9999e-02, 8.9641e-01, 3.5873e-03, 1.7953e-06],\n",
+       "        [1.0000e-01, 8.9820e-01, 1.7961e-03, 0.0000e+00],\n",
+       "        [9.9999e-02, 8.9641e-01, 3.5868e-03, 1.7949e-06],\n",
        "        ...,\n",
-       "        [5.4107e-03, 1.9812e-06, 1.2800e-04, 9.9446e-01],\n",
-       "        [5.4107e-03, 1.9793e-06, 1.2787e-04, 9.9446e-01],\n",
-       "        [5.4107e-03, 1.9774e-06, 1.2775e-04, 9.9446e-01]],\n",
+       "        [5.4365e-03, 1.9908e-06, 1.2821e-04, 9.9443e-01],\n",
+       "        [5.4365e-03, 1.9889e-06, 1.2809e-04, 9.9443e-01],\n",
+       "        [5.4365e-03, 1.9870e-06, 1.2796e-04, 9.9443e-01]],\n",
        "       grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
-     "execution_count": 12
+     "execution_count": 11
     }
    ],
    "source": [
@@ -369,15 +369,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T16:09:35.815808</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m311a789cea\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m311a789cea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.273255\" xlink:href=\"#m311a789cea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2000 -->\n      <g transform=\"translate(98.548255 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.210658\" xlink:href=\"#m311a789cea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4000 -->\n      <g transform=\"translate(163.485658 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.148061\" xlink:href=\"#m311a789cea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6000 -->\n      <g transform=\"translate(228.423061 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.085464\" xlink:href=\"#m311a789cea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8000 -->\n      <g transform=\"translate(293.360464 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.022866\" xlink:href=\"#m311a789cea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10000 -->\n      <g transform=\"translate(355.116616 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"254.492188\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m44aed138f1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m44aed138f1\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m44aed138f1\" y=\"212.562395\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 216.361613)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m44aed138f1\" y=\"163.908789\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 167.708008)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m44aed138f1\" y=\"115.255184\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 119.054402)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m44aed138f1\" y=\"66.601578\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 70.400797)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m44aed138f1\" y=\"17.947973\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 21.747192)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pc0b6b3ca83)\" d=\"M 46.335852 236.889197 \nL 47.732006 236.999956 \nL 49.225567 237.345059 \nL 50.913939 237.967477 \nL 52.926999 238.955569 \nL 55.556963 240.512277 \nL 60.622081 243.8358 \nL 65.362511 246.823285 \nL 68.999006 248.852844 \nL 72.473157 250.538639 \nL 75.979777 251.992821 \nL 79.64874 253.27125 \nL 83.577453 254.400724 \nL 87.863321 255.397419 \nL 92.63622 256.2754 \nL 98.090962 257.048027 \nL 104.487297 257.722706 \nL 112.182379 258.302546 \nL 121.760646 258.791385 \nL 134.16369 259.190449 \nL 151.177289 259.501382 \nL 176.502876 259.723038 \nL 220.075874 259.853671 \nL 330.729208 259.898563 \nL 370.990398 259.899746 \nL 370.990398 259.899746 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pc0b6b3ca83)\" d=\"M 46.335852 42.274781 \nL 48.1541 65.270571 \nL 49.972347 85.518948 \nL 51.823063 103.678657 \nL 53.673779 119.699384 \nL 55.556963 134.10633 \nL 57.472617 147.070875 \nL 59.420739 158.74788 \nL 61.40133 169.275362 \nL 63.414389 178.774981 \nL 65.427449 187.224844 \nL 67.472977 194.874675 \nL 69.550974 201.801061 \nL 71.661439 208.071342 \nL 73.804374 213.74497 \nL 75.947308 218.802605 \nL 78.122711 223.379736 \nL 80.330583 227.516772 \nL 82.570923 231.250583 \nL 84.843732 234.614976 \nL 87.181479 237.681263 \nL 89.551694 240.429035 \nL 91.986846 242.917746 \nL 94.519405 245.1896 \nL 97.14937 247.249542 \nL 99.876741 249.104914 \nL 102.766455 250.800382 \nL 105.818513 252.331391 \nL 109.065383 253.710656 \nL 112.572003 254.956981 \nL 116.40331 256.078893 \nL 120.624241 257.078371 \nL 125.332203 257.959647 \nL 130.65707 258.725725 \nL 136.826123 259.383346 \nL 144.16405 259.935033 \nL 153.222817 260.383507 \nL 164.944019 260.72943 \nL 181.438119 260.977529 \nL 208.257266 261.132925 \nL 267.67499 261.204857 \nL 370.990398 261.215519 \nL 370.990398 261.215519 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pc0b6b3ca83)\" d=\"M 46.335852 261.216 \nL 47.926819 241.283523 \nL 49.485316 224.461954 \nL 51.043814 210.007728 \nL 52.569843 197.88703 \nL 54.063403 187.752488 \nL 55.524495 179.310506 \nL 56.953118 172.312273 \nL 58.349272 166.54656 \nL 59.712957 161.83359 \nL 61.044174 158.019913 \nL 62.310453 155.042894 \nL 63.544264 152.694003 \nL 64.713137 150.924689 \nL 65.849542 149.591611 \nL 66.953478 148.63013 \nL 68.024945 147.984217 \nL 69.096412 147.597229 \nL 70.167879 147.447054 \nL 71.271815 147.518393 \nL 72.440688 147.821115 \nL 73.706968 148.386995 \nL 75.103122 149.266618 \nL 76.629151 150.497768 \nL 78.349992 152.177553 \nL 80.330583 154.431911 \nL 82.63586 157.405189 \nL 85.428169 161.388494 \nL 88.999726 166.896435 \nL 94.714217 176.178607 \nL 103.188548 189.884525 \nL 108.058854 197.322411 \nL 112.377191 203.519877 \nL 116.435779 208.962321 \nL 120.364492 213.861375 \nL 124.195798 218.286217 \nL 127.994636 222.334858 \nL 131.761006 226.026407 \nL 135.527375 229.41084 \nL 139.358682 232.555337 \nL 143.222457 235.440604 \nL 147.183639 238.121225 \nL 151.242227 240.598668 \nL 155.430689 242.893555 \nL 159.749026 245.00614 \nL 164.262176 246.965635 \nL 169.002606 248.77889 \nL 173.970318 250.43999 \nL 179.262716 251.972944 \nL 184.91227 253.375001 \nL 190.983917 254.650129 \nL 197.575063 255.804396 \nL 204.815584 256.842818 \nL 212.835353 257.76438 \nL 221.861652 258.57321 \nL 232.186699 259.27006 \nL 244.297525 259.857955 \nL 258.90844 260.336663 \nL 277.350663 260.708311 \nL 302.319094 260.974838 \nL 340.599693 261.13903 \nL 370.990398 261.184923 \nL 370.990398 261.184923 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pc0b6b3ca83)\" d=\"M 46.335852 261.216 \nL 47.082632 261.107791 \nL 47.861881 260.764512 \nL 48.706067 260.146117 \nL 49.680129 259.139205 \nL 50.784064 257.652188 \nL 52.017875 255.600241 \nL 53.446498 252.771378 \nL 55.102402 248.969261 \nL 57.018055 243.98669 \nL 59.290864 237.427517 \nL 62.083172 228.654551 \nL 65.784604 216.240762 \nL 73.512155 189.307175 \nL 79.38899 169.275268 \nL 83.869671 154.776944 \nL 87.89579 142.489355 \nL 91.662159 131.696677 \nL 95.266185 122.032448 \nL 98.772805 113.258701 \nL 102.182019 105.317596 \nL 105.558764 98.010659 \nL 108.90304 91.302916 \nL 112.214847 85.156813 \nL 115.494186 79.533837 \nL 118.773525 74.346583 \nL 122.052864 69.5693 \nL 125.364672 65.134591 \nL 128.708948 61.027377 \nL 132.085693 57.231824 \nL 135.494906 53.73175 \nL 138.969057 50.481437 \nL 142.508146 47.472417 \nL 146.14464 44.671601 \nL 149.878541 42.075437 \nL 153.742317 39.659985 \nL 157.735967 37.424984 \nL 161.924429 35.33765 \nL 166.307704 33.404784 \nL 170.91826 31.617714 \nL 175.788565 29.971076 \nL 180.951088 28.461593 \nL 186.470768 27.079795 \nL 192.477477 25.808734 \nL 199.003686 24.659196 \nL 206.146801 23.62963 \nL 214.069164 22.714802 \nL 223.095463 21.902909 \nL 233.290635 21.212496 \nL 245.271586 20.627773 \nL 259.785095 20.14887 \nL 278.16238 19.775468 \nL 303.228218 19.505988 \nL 341.995847 19.339993 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_17\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_18\"/>\n    <g id=\"text_13\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_19\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_20\"/>\n    <g id=\"text_14\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_21\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_22\"/>\n    <g id=\"text_15\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_23\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_24\"/>\n    <g id=\"text_16\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pc0b6b3ca83\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAGdCAYAAADAAnMpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAABopklEQVR4nO3dd3wUdf7H8dfsbnbTK6QAoVsoIk0RkCYKlrPceR727snZRT1Fz1Ox4Hl3Hj/vFM9+d4p6nooNUSyAUqXZQJAaSkJISC+bLfP7Y5MlgQRSNpmU9/Px2Mfszs7M95MRyZvvfOc7hmmaJiIiIiIWsVldgIiIiHRsCiMiIiJiKYURERERsZTCiIiIiFhKYUREREQspTAiIiIillIYEREREUspjIiIiIilHFYXUB9+v589e/YQExODYRhWlyMiIiL1YJomRUVFdOnSBZut7v6PNhFG9uzZQ3p6utVliIiISCPs3LmTbt261fl9mwgjMTExQOCHiY2NtbgaERERqY/CwkLS09ODv8fr0ibCSNWlmdjYWIURERGRNuZIQyw0gFVEREQspTAiIiIillIYEREREUspjIiIiIilFEZERETEUgojIiIiYimFEREREbFUg8PI4sWLOfvss+nSpQuGYTB37twj7rNo0SKGDRtGeHg4vXv35tlnn21MrSIiItIONTiMlJSUcPzxx/OPf/yjXttv27aNM888kzFjxrB27VruvfdebrnlFt5+++0GFysiIiLtT4NnYD3jjDM444wz6r39s88+S/fu3Zk1axYA/fr1Y9WqVfzlL3/h/PPPb2jzIiIi0s40+5iRZcuWMWnSpBrrJk+ezKpVq/B4PM3dvIiIiLRyzf5smqysLFJSUmqsS0lJwev1kpOTQ1pa2iH7uN1u3G538HNhYWFzlykiIiIWaZEH5R38gBzTNGtdX2XmzJk89NBDzV6XiIjUj2ma4PNh+v2Bpc8Pfh+mzwd+f3BZY5uDlz4/mP7A9n4TMAP7mGbgs3lgnWma4K/HZ9MMHLP6Mao+H7TNkT4HjxH4gWsuqfnZDH5PA7evZb+D9jnstk2pqc52Aou4884lYsAArNDsYSQ1NZWsrKwa67Kzs3E4HCQlJdW6z/Tp05k2bVrwc9UjiEVE2jLTNDE9Hky3G7OiAtPtxl/1vvpnd+XnioM+ezyYXg+m1wteL6bHi+n1Hljn8VRbF1hfYzuP58D6qnU+H6bPC76DgsNB4ePALzJpryKHDG6/YWTkyJF88MEHNdZ9+umnDB8+nLCwsFr3cblcuFyu5i5NRKRWpseDr7gYf1ERvqIi/EXF+EtL8ZeVYpaV4S8tw19WVsvnMsyy0sDn0tLAuvIyzPID4aPdstnAbsc40tIwwG4Hwwi8N4zAvoYBBhiGrca6g7c54mebQeWBKtfVcsyqber4TGWn/YHe++CKOpbU+Hzk/Wrbvn5tNLQm4+D1h6nJ2acPVmlwGCkuLmbz5s3Bz9u2bWPdunUkJibSvXt3pk+fzu7du/n3v/8NwNSpU/nHP/7BtGnTuO6661i2bBkvvvgir7/+euh+ChGRakzTxCwtxZefjzc/H19ePr78Ay9/URG+4sqQUVyEr6gyeFQGkJYKDYbTieFyYbhc2JzOw342nGEYjjAMhwMjrGrpAIej2noHhqOOdVX7OMKC6wyHA+wODIcdbHYMu+3Asj7BonKJzVbnZXeR+mhwGFm1ahUTJkwIfq66nHLFFVfwyiuvkJmZSUZGRvD7Xr16MW/ePG6//XaefvppunTpwlNPPaXbekWkQUyPB29uLt59OXhz9uHdtw9vTg6+nBy8ufsPhI28PHz5+ZgVFU1u0xYZiS0mBlt0dOB9RERgGRmBERGBLaJqXbXPkRHYImp+DoaLqmDhcgUChX6BiwBgmGbrvxBYWFhIXFwcBQUFxMbGWl2OiISYv6QET1YWnj2ZeDL34NmzB29mViBwVIWOvLwGH9dwOrHHxwdeCQmBZVwc9tgYbNEx2GKisccE3ttjoiuDR+X76GgMu70ZflqRjqO+v79b5G4aEenYzIoKKnbtpmLHdjwZGVRk7MSTmYknMxPvnj34CgrqdyCHA0dSEo5OnXB07oyjc2BpT0g8EDYS4nFUBhAjMlK9DyJtgMKIiISE6ffj2bMH988/U7F9BxUZO/Ds2EHFjgw8mZmBWzgPwxYTQ1haGmFpaTi6pBGWmoYjJRlHp2qhIz4+ME5BRNoVhRERaRDTNPFmZuLevBn3z5srlz/j3roVs7S0zv2MyEicPXrg7N4dZ/d0wrp2DQSPygBij4lpwZ9CRFoThRERqZPp91OxYwfl69dT/uP6wHL9evx1zIpshIXh7N0bZ+9eOLv3CISPHt1xdu+OvVMnXTIRkVopjIhIkCc7m7K16yhbu5byH3+kfMMG/MXFh27ocODq1RNn3764+vbF1fcoXEcdhbN7euB2URGRBtDfGiIdlOn34/55M2Vr11C6Zg1la9bi2bXrkO0MlwvXsccQMWAA4f37Ez5gAK4+fTCcTguqFpH2SGFEpIMwTZOK7dspWbaM0mXLKVm5Ev/Bd7EYBq6jjyZi6BAijhtUGTx6q7dDRJqV/oYRace8+/dTsmQJJUuXUbJsGd6DnhNlREYScfwgIocMIWLIUCIGH6+BpCLS4hRGRNoR0zSp2LyZoi8XUvzll5StW1fjAWdGWBgRQ4cSNfIkokaOJHzAAPV6iIjl9LeQSBtn+v2UrV5N4acLKP7yy0PGfbj69SN69CgiR44kcuhQbBERFlUqIlI7hRGRNsj0+ylb9y2FH39M0fz5ePftC35nOJ1EjjyJmPHjiR4/nrC0NAsrFRE5MoURkTakfNMmCua+R+HHH+PNzAyut8XEEHPqqcScOpGokSOxRUZaWKWISMMojIi0cr7CQgrnzSP/7Xco//774HpbZCTREycSe+YZRI0ejU232opIG6UwItIKmaZJ6TffkP/W/yj69FNMtzvwhcNBzITxxJ59NtFjx2ILD7e0ThGRUFAYEWlF/GVlFHzwAXmvvoZ706bgetdRfYk7/3zizj4bR1KShRWKiISewohIK1Cxazd5c+aQ//bbwYnIjPBw4s4+m/jfXED4wIF6rouItFsKIyIWKt+0idznX6Bw3jzw+QAI69aNhIsvJv78X2GPi7O4QhGR5qcwImKBsnXryHnueYq/+CK4LmrUSBIuvYzocWMx7HYLqxMRaVkKIyItqHTtWvb931OULl8eWGEYxEyaRNJ11xExcIC1xYmIWERhRKQFlG/cyL5Z/0fxl18GVjgcxJ1zDknXXoOrd29rixMRsZjCiEgzqsjIYN9Tf6fwo48Cz4ix2Yj75Xl0vuEGwrp2tbo8EZFWQWFEpBn4iovJffZZcv/1b/B4AIg543Q633wLrt69LK5ORKR1URgRCSHT56Pg3XfJnvV/+HJyAIgaPZrkO6YR3r+/xdWJiLROCiMiIVL23XdkPfgQ5evXA+Ds0YPk6fcQPW6c5ggRETkMhRGRJvIVl7Bv1izyXnsNTBNbdDSdbryRxEsuxtDzYkREjkhhRKQJir74gqwZD+PNygIg7txzSP797zVlu4hIA3TsMLLyedixBIZcBn0nWl2NtCHevDyyHnyIok8+ASAsPZ3UBx8gevRoiysTEWl7bFYXYKmdK+DHdyF7g9WVSBtStHAhW88+JxBE7HaSrruO3u+/pyAiItJIHbtnJLKyK70019o6pE3wl5Sw909PkP/f/wLg7NuHrk88obtkRESaSGEEFEbkiMq+/57dd9yJJyMDgMQrr6Tz7bdhc7ksrkxEpO3r4GEkMbBUGJE6mKZJ3quvsfeJJ8DjwZGWRpeZM4k6aYTVpYmItBsdPIxU9Yzst7YOaZV8RUVk/uH+4CDVmNNOI+3RR7DHxlpcmYhI+6IwAuoZkUOUb9jArltvC1yWCQsj5a67SLjsUk1eJiLSDBRGQGFEaiic/wl7pk/HLCsjrEsXus76GxGDBlldlohIu6UwAlC2H/x+sHXsO507OtPvJ+cfT5PzzDMARJ18Ml3/8mfs8fHWFiYi0s517DASUTmA1fRDef6BAa3S4fhLSthzz3SKFiwAAnfLJN91J4bdbnFlIiLtX8cOIw4nuGLBXRgYxKow0iF59mazc+pU3Bs2YISFkfrQQ8T/6pdWlyUi0mHouoRu7+3Q3Fu3suOii3Bv2IA9KYnu//qXgoiISAtTGNEg1g6rdM1adlx0MZ49e3D26EHPN14ncugQq8sSEelwFEYURjqkoi++IOOqq/AVFBB+/CB6vPE6zvR0q8sSEemQFEYURjqcgvffZ9dNN2O63USPG0ePl1/GkZBgdVkiIh2WwojCSIeS/7//sefue8DvJ+6Xv6Tb0//AFhlpdVkiIh1ax76bBjSAtQPZP2cOe2c8DED8RReSev/9GJpbRkTEcgoj6hnpEHJffoXsP/0JgMQrriD5nrs1tbuISCuhMKIw0u7t//e/g0Ek6be/pfPttymIiIi0IgojCiPtWt5bb7H3sZkAdLrhd3S6+WYFERGRVkYXzBVG2q2CDz4k648PAJB49dUKIiIirZTCSFUYKS8An8faWiRkChcsYM8994BpEn/RhYHnzCiIiIi0Sgoj4fFA5S+psjwrK5EQKVm+nD3T7gCfj7hzzw3cNaMgIiLSaimM2B0QER94r0s1bV75xk2BCc08HmImTSLt0Ud0+66ISCunv6VB40baCU9WFjt/+1v8xcVEDB9Glz8/geHQGG0RkdZOYQQURtoBX2EhO6/7Ld69e3H26UP6P/6BzeWyuiwREakHhRFQGGnjzIoKdt18C+6ff8bRuTPdn/sn9vh4q8sSEZF6UhgBTQnfhpmmSdbDj1C6YgW2yEjSn/snYV27Wl2WiIg0gMIIHOgZKVEYaWvy5swh/623wDDo+rcnCe/Xz+qSRESkgRRGAKI6B5Yl+6ytQxqkZPny4OyqyXfeQfS4cRZXJCIijaEwAhCVHFgqjLQZFRkZ7L71tsq5RM4h8eqrrS5JREQaqVFh5JlnnqFXr16Eh4czbNgwvvrqq8Nu/9prr3H88ccTGRlJWloaV111Fbm5reiSSFSnwLIkx9o6pF78JSXsuvFGfAUFhA8aROqMGZrUTESkDWtwGHnzzTe57bbbuO+++1i7di1jxozhjDPOICMjo9btv/76ay6//HKuueYafvzxR9566y2++eYbrr322iYXHzLRVT0j2dbWIUdkmiaZf3wA98+bcXTuTLe//1238IqItHENDiNPPvkk11xzDddeey39+vVj1qxZpKenM3v27Fq3X758OT179uSWW26hV69enHzyyVx//fWsWrWqycWHTNWYkdJc8PusrUUOK/+NNyj86COw2+k662+EpSRbXZKIiDRRg8JIRUUFq1evZtKkSTXWT5o0iaVLl9a6z6hRo9i1axfz5s3DNE327t3L//73P84666w623G73RQWFtZ4Nauqu2lMv55P04qVff/DgQGrd9xB5LBhFlckIiKh0KAwkpOTg8/nIyUlpcb6lJQUsrKyat1n1KhRvPbaa0yZMgWn00lqairx8fH8/e9/r7OdmTNnEhcXF3ylp6c3pMyGs4dBROVcI8W6VNMa+QoK2H3bbZgeD9GnTiTxqiutLklEREKkUQNYDx4saJpmnQMI169fzy233MIf//hHVq9ezfz589m2bRtTp06t8/jTp0+noKAg+Nq5c2djymwY3d7bapmmyZ7p9+LZvZuw9HS6PPaYBqyKiLQjDXqKWKdOnbDb7Yf0gmRnZx/SW1Jl5syZjB49mrvuuguAQYMGERUVxZgxY3jkkUdIS0s7ZB+Xy4WrpQclRnWGnI0KI61Q3uuvU/zFFxhhYXSd9TfssbFWlyQiIiHUoJ4Rp9PJsGHDWLBgQY31CxYsYNSoUbXuU1paiu2gR7jb7XYg8C/eViNaPSOtkXvzZrL/9AQAyXfdScSAARZXJCIiodbgyzTTpk3jhRde4KWXXmLDhg3cfvvtZGRkBC+7TJ8+ncsvvzy4/dlnn80777zD7Nmz2bp1K0uWLOGWW27hxBNPpEuXLqH7SZpKl2laHX9FBbvvvAvT7Sbq5JNJuPRSq0sSEZFm0KDLNABTpkwhNzeXGTNmkJmZycCBA5k3bx49evQAIDMzs8acI1deeSVFRUX84x//4I477iA+Pp5TTjmFP/3pT6H7KUJBYaTV2Tfr/3D/9BP2hATSHnsUw6YJg0VE2iPDbFXXSmpXWFhIXFwcBQUFxDbXeIFVL8OHt8HRZ8DFbzRPG1JvJUuXknH1NQB0e+ZpYk45xeKKRESkoer7+1v/1KyinpFWw1dUxJ577wMgfsoUBRERkXZOYaSKwkirkf3EE3izsgjr3p2Uu39vdTkiItLMFEaq6G6aVqH46yXkv/U/MAy6PPYotshIq0sSEZFmpjBSpapnxFMKFSXW1tJB+YpLyPzj/QAkXHIJkcOHW1yRiIi0BIWRKs5ocIQH3qt3xBLZf/kz3j2ZhHXrRvK0260uR0REWojCSBXDgKjKJ8AWK4y0tJLly8l/400A0h55RJdnREQ6EIWR6qI6BZbqGWlRfrebzD8+AED8RRcSddIIiysSEZGWpDBSne6osUTuP5/Dk5GBIyWF5DvusLocERFpYQoj1emOmhbn3rqN3OefByDl3nuxR0dbXJGIiLQ0hZHq1DPSokzTJGvGDEyPh6hxY4mZdJrVJYmIiAUURqqrGsCqMNIiCj/8kNLlyzFcLlLvvx/DMKwuSURELKAwUl1Vz0hxtrV1dAC+ggL2Ph54WGKnG27A2a2bxRWJiIhVFEaqi0kJLIv3WltHB7Dv//4PX24uzj59SLrqSqvLERERCymMVBedGlgWKYw0p/KNm8irnFMk9Y9/xHA6La5IRESspDBSXXTlmBF3AXjKrK2lnTJNk70zZ4LfT8zkyUSNONHqkkRExGIKI9WFxx2YEr4oy9pa2qnizz8PDFp1Okm+6y6ryxERkVZAYaQ6w4BojRtpLv6KCvb+6QkAEq++Cme3rhZXJCIirYHCyMFiqsaNqGck1Pb/6194du7E0bkzna67zupyRESklVAYOZh6RpqFJzub3NnPAtD5jmnYoqIsrkhERFoLhZGDqWekWeT8/R/4S0sJHzSIuHPOsbocERFpRRRGDhbsGdHEZ6Hi3rqV/LffBiDlnrsxbPpjJyIiB+i3wsGCYUQ9I6Gy729/A7+f6IkTiRw61OpyRESklVEYOViMJj4LpdK1ayla8BnYbCTffpvV5YiISCukMHIw9YyEjGmaZP/1rwDE/eqXuPr2tbgiERFpjRRGDlbVM1KSAz6vtbW0ccULF1K2ajWGy0Xnm26yuhwREWmlFEYOFtkJDDtgQokGsTaW6fOx78knAUi8/HLCUlMtrkhERForhZGD2WwHnlGj23sbrfDDD3H/vBlbXBxJ111rdTkiItKKKYzURhOfNYnp9bLv6WcA6HTdtdhjYy2uSEREWjOFkdpUhRH1jDRKwXvv48nIwJ6YSMLFF1tdjoiItHIKI7WJ0cRnjWV6POTMng1A0jXXYIuMtLgiERFp7RRGahNdOdhSt/c2WMF77+HZtQt7p04kXHyR1eWIiEgboDBSm6qeEU181iBmRQU5z1T2ilx7DbaICIsrEhGRtkBhpDbqGWmU/Hfn4tmzB3vnTiRceKHV5YiISBuhMFIbPbm3wcyKCnL++SwAna67Dlt4uMUViYhIW6EwUpuYtMCyeC/4fdbW0kbkz52Ld08mjs6dif/Nb6wuR0RE2hCFkdpEp4BhA78XSvZZXU2rZ/p85L74IgCJ11ytXhEREWkQhZHa2B0Hxo0U7ra2ljag6JNP8OzIwB4XR8IFF1hdjoiItDEKI3WJrbxUU5hpbR2tnGma5Dz3PAAJl1+GLSrK4opERKStURipS2yXwLJwj7V1tHIlixfj/uknbJGRJF5yidXliIhIG6QwUpfYroGlLtMcVlWvSPyUKdjj460tRkRE2iSFkbpU3VFTpMs0dSldvZqy1asxwsJIvPJKq8sREZE2SmGkLsGeEV2mqUvOc88BEHfeeYSlJFtcjYiItFUKI3XRmJHDKt+4kZJFi8FmI+naa6wuR0RE2jCFkbpUDyOmaW0trdD+V/4FQMykSTh79LC4GhERacsURupSNWbEWwZledbW0sp49+2j8MMPAUi66kprixERkTZPYaQuYeEQmRR4r0GsNeS9/jqmx0PEkCFEHH+81eWIiEgbpzByOBo3cgh/eTl5c14HIPGKKyyuRkRE2gOFkcOJqQojmmukSsF77+PLzyesa1diTp1odTkiItIOKIwcTrBnRJdpAEy/n/3/CgxcTbz8MgyHw+KKRESkPVAYORzNwlpDyVdfUbF1K7boaOLOP9/qckREpJ1QGDmc4MPyNGYEIPeVVwCIv+AC7NHR1hYjIiLthvrZD6fqMo3upqF84yZKly0Hm43ES/VAPBGRIzFNE6/Xi8/ns7qUZmO323E4HBiG0aTjKIwcji7TBOXNmQNAzKmnEta1q8XViIi0bhUVFWRmZlJaWmp1Kc0uMjKStLQ0nE5no4+hMHI4VT0j5QXgLgZXx7w04SsqouCDDwBIuES9IiIih+P3+9m2bRt2u50uXbrgdDqb3HPQGpmmSUVFBfv27WPbtm0cddRR2GyNG/2hMHI4rhhwxYG7AAp2QfKxVldkiYJ352KWluI6qi+RJ55gdTkiIq1aRUUFfr+f9PR0IiMjrS6nWUVERBAWFsaOHTuoqKggPDy8UcfRANYjiU8PLAt2WVuHRUzTJO/1wCRn8Rdd1C7TvYhIc2hsL0FbE4qfs2OcqaaIqwojGdbWYZHSZcuo2LYNW1QUceeca3U5IiLSDjUqjDzzzDP06tWL8PBwhg0bxldffXXY7d1uN/fddx89evTA5XLRp08fXnrppUYV3OKqekbyd1pbh0X2Vw5cjTv3XOzRURZXIyIi7VGDw8ibb77Jbbfdxn333cfatWsZM2YMZ5xxBhkZdfcc/OY3v+Hzzz/nxRdfZOPGjbz++usce2wbGX8R1y2wLOh4YcSzZw/FX3wJQMLFF1lcjYiINLfs7Gyuv/56unfvjsvlIjU1lcmTJ7Ns2bJmbbfBA1iffPJJrrnmGq699loAZs2axSeffMLs2bOZOXPmIdvPnz+fRYsWsXXrVhITEwHo2bNn06puSXEdd8xI3pv/Bb+fyBEjcPXta3U5IiLSzM4//3w8Hg//+te/6N27N3v37uXzzz9n//79zdpug8JIRUUFq1ev5p577qmxftKkSSxdurTWfd5//32GDx/OE088wX/+8x+ioqI455xzePjhh4mIiKh1H7fbjdvtDn4uLCxsSJmhFd89sOxgl2n8FRXkv/UWAAkXX2xxNSIi0tzy8/P5+uuvWbhwIePGjQOgR48enHjiic3edoPCSE5ODj6fj5SUlBrrU1JSyMrKqnWfrVu38vXXXxMeHs67775LTk4ON9xwA/v3769z3MjMmTN56KGHGlJa86nqGSnaAz4P2MOsraeFFC1YgG//fhwpKcRMPMXqckRE2jTTNCnztPxMrBFh9nrfBRkdHU10dDRz587lpJNOwuVyNXN1BzRqnpGDfzDTNOv8Yf1+P4Zh8NprrxEXFwcELvX8+te/5umnn661d2T69OlMmzYt+LmwsJD09PTGlNp0UZ3B7gRfReAZNQk9rKmjheW/9T8A4s8/X0/nFRFpojKPj/5//KTF210/YzKRzvr9He5wOHjllVe47rrrePbZZxk6dCjjxo3jwgsvZNCgQc1aZ4MGsHbq1Am73X5IL0h2dvYhvSVV0tLS6Nq1azCIAPTr1w/TNNm1q/ZxGC6Xi9jY2Bovy9hsHW4Qa0VGBqXLl4NhEH/+r6wuR0REWsj555/Pnj17eP/995k8eTILFy5k6NChvFL5oNTm0qB/8jqdToYNG8aCBQv45S9/GVy/YMECzj239jkoRo8ezVtvvUVxcTHRlU963bRpEzabjW7dujWh9BYUlw77t3aYQaz5/3sbgKiTT9ZzaEREQiAizM76GZMtabehwsPDOe200zjttNP44x//yLXXXssDDzzAlVdeGfoCKzX41t5p06bxwgsv8NJLL7FhwwZuv/12MjIymDp1KhC4xHL55ZcHt7/44otJSkriqquuYv369SxevJi77rqLq6++us4BrK1OB5prxPR4yH/3HQDif/1ri6sREWkfDMMg0ulo8VcoZs3u378/JSUlITgLdWvwYIApU6aQm5vLjBkzyMzMZODAgcybN48ePQJjKTIzM2vMORIdHc2CBQu4+eabGT58OElJSfzmN7/hkUceCd1P0dw60CysxYsW4duXgz0piZgJ460uR0REWkhubi4XXHABV199NYMGDSImJoZVq1bxxBNP1Hn1I1QaNTLxhhtu4IYbbqj1u9quKx177LEsWLCgMU21DnEdp2ckOHD1l+dhNOFx0CIi0rZER0czYsQI/va3v7FlyxY8Hg/p6elcd9113Hvvvc3atm6TqI/gw/LadxjxZGVRXDm1f9z551tcjYiItCSXy8XMmTNrncC0uelBefVRfRZW07S2lmaU//bbgRlXTzgBV69eVpcjIiIdhMJIfcR2BQzwlkNJjtXVNAvT5wuEESD+NxdYXI2IiHQkCiP14XBCTGrgfTsdxFqydBnePZnY4uKImTTJ6nJERKQDURipr/jKmVfzdlhbRzMpePddAOJ+8QtsLTgFsIiIiMJIfSX0DCzztltZRbPwFRVR9PnnAMRVm8xORESkJSiM1Fc7DiOFH3+M6XbjOqov4QP6W12OiIh0MAoj9dWOw0jBu3MBiDvvvJDM1iciItIQCiP11U7DSMX27ZStXQs2G7Fnn211OSIi0gEpjNRXVRgp2AU+j6WlhFL+e+8BEDV6NGHJyRZXIyIiHZHCSH1Fp4AjHExfu3l6r+n3U1AZRuLOa97nDoiIiNRFYaS+bLZqt/dus7aWECld+U1gbpGYGGImTrS6HBERsdiVV16JYRiHvE4//fRmbVfPpmmIxF6Qs7HdjBspmDsXgNjTT8cWHm5tMSIi0iqcfvrpvPzyyzXWuZp5/imFkYZoR4NY/SUlFH76KQBxvzzP2mJERKTVcLlcpKamtmibCiMN0Y7CSOGCBZilpYT16E7EkCFWlyMi0r6ZJnhKW77dsEhoA1M2KIw0RHsKI++/D0DcOedobhERkebmKYXHurR8u/fuAWdUg3b58MMPiY6OrrHu7rvv5v777w9lZTUojDREOwkj3n37KFm+AgiEERERkSoTJkxg9uzZNdYlJiY2a5sKIw1RdTdNeQGU5UFEgrX1NFLhx/PB7yf8+EE409OtLkdEpP0Liwz0UljRbgNFRUXRt2/fZiimbgojDeGMDMw3Urw30DvSRsNIwUcfAhB31i8srkREpIMwjAZfLulIFEYaKqFXIIzs3wZd2t7Az4qMDMq//S4w/fsZzXvfuIiItD1ut5usrKwa6xwOB506dWq2NhVGGiqhJ+xc3mYnPiv86CMAok46CUfnzhZXIyIirc38+fNJS0urse6YY47hp59+arY2NQNrQyX1CSxzt1pbRyOYpknBh4EwEvsLXaIREZGaXnnlFUzTPOTVnEEEFEYaLhhGNltbRyO4N26kYssWDKeTmNNOtbocERERQGGk4ZIqRxi3wTBS+GFg4Gr0+PHYY2IsrkZERCRAYaShEit7RkpzArf3thGm30/BR/MAiD3rLIurEREROUBhpKFc0RBTObCnDY0bKVuzBm9mJrboaKLHjbW6HBERkSCFkcZIbHvjRgoqL9HEnHaantArIiKtisJIY1QNYt2/xdo66sn0eCia/wkAsb/QJRoREWldFEYao40NYi1ZvgJffj72pCSiRoywuhwREZEaFEYao42FkcJP5gMQc9qpGA7NcyciIq2LwkhjBMPIFjBNa2s5AtPjoXjBZwDEnq7p30VEpPVRGGmMhJ5g2KCiOPCcmlasZMVKfAUF2BMTiRw+3OpyREREDqEw0hgOJ8T3CLxv5Zdqiqou0Uw6TZdoRETksK688krOO++8Fm9XYaSx2sC4EdPjoejTBYAu0YiISOulMNJYbSCM6BKNiIi0Beq3b6yquUZyWm8YCV6iOU2XaERErGSaJmXeshZvN8IRgWEYLd5uQ+k3VGN1OjqwzNnUqN19fh+r967m+5zvyS3PxWFz0COmByemnkh6bHqTyzM9HoqCd9FMbvLxRESk8cq8ZYyY0/LzPK24eAWRYZEt3m5DKYw0VudjA8u8beAph7D6TbHu8/t4++e3ee6759hbWvudOAOSBnDVwKs4rcdp2IzGXUkrWbkyMNFZQgKRJ5zQqGOIiIi0BIWRxopOhvA4KC8IjBtJHXjEXXLKcrhj4R2syV4DQJwrjpFpI0mLTsPtdbMpbxNrs9fyY+6P3LnoTgZ1GsQDox7g6ISjG1xe1fTvukQjImK9CEcEKy5eYUm7bYF+SzWWYQR6R3augH0/HTGM7C7ezVXzryKzJJPosGhuGnITFxx9AU67s8Z2+8v38/pPr/Of9f/hu5zvmPLBFO464S4uOvaiel/3M71eij6rvERzhu6iERGxmmEYbeJyiVV0N01TdD4msNy38bCb5ZTlcO0n15JZkknP2J7MOWsOl/S75JAgApAYnsiNg2/kvXPfY3z6eLyml5krZ/KHJX/A4/PUq6zSlSvx5eXpEo2IiLQJCiNNUTVuZN9PdW7i8/u4e/Hd7CreRXpMOi9OfpFecb2OeOiUqBSemvAUdw6/E7th5/0t73PLl7fUazR2oS7RiIhIG6Iw0hT16Bl57rvnWJm1kkhHJP+Y+A+SI5PrfXjDMLhiwBU8PfFpIhwRfL37a6YumEqpp7TOfUyfj6LPPwcgZvKkerclIiLyyiuvMHfu3BZvV2GkKap6RvZvgVouoWzN38pz3z8HwP0j76d3XO9GNTO662ieO+05YsJiWJO9htsX3k6Fr6LWbcvWrcOXm4stNpaoE09sVHsiIiItSWGkKWK7gjMa/F7Yv7XGV6Zp8siKR/D6vYzrNo6zep3VpKYGJw9m9mmziXBEsHTPUu756h58ft8h21XNLRI9fhxGWFiT2hQREWkJCiNNYRjVLtXUHDeyaNcivsn6hnB7ONNHTA/JDHjHdz6eWRNmEWYLY8GOBcxaM6vG96ZpBu+iiTn11Ca3JyIi0hIURpoqOIj1wLgRv+nn6XVPA3BJv0voGt01ZM2N6jKKR09+FIBXfnyFuZvnBr9zb9yIZ9cuDJeL6JNPDlmbIiIizUlhpKlq6Rn5IuMLftr/E1FhUVw54MqQN3lGrzO4ftD1ADy07CHW7A1MolZ1iSbq5JOxRep+dhERaRsURpqqlp6Rf/34LwAuPvZi4sPjm6XZGwbfwGk9TsPr93LHojvIKcvRJRoREWmTFEaaqqpnJGcT+Lz8mPsj6/atw2FzcHG/i5utWZth45HRj9A3vi85ZTk8/u7tuDduBLud6PHjmq1dERGRUFMYaaq47oE7anwVkLuZORvmADC552Q6RXRq1qYjwyL5y7i/EOGIIOzrwKWayOHDcSQkNGu7IiIioaQw0lQ2G6QMAKBg9zd8vO1jIHCJpiX0ie/DH076Aydu8gOw/8SjWqRdERGRUFEYCYXKMPJJxgI8fg9HJxzNoM6DWqz5M+NGcczuwPtHXQsorChssbZFRESaSmEkFCrDyIf5gTtqzu59dos2X/TFFxgm7OzqYmNYLo+teKxF2xcRkfbhyiuvxDAMDMPA4XDQvXt3fve735GXl9es7SqMhELKcex02FlLGQYGZ/Q6o0Wbr7qLJu3M87AZNj7a+hGfbP+kRWsQEZH24fTTTyczM5Pt27fzwgsv8MEHH3DDDTc0a5sKI6GQ3I950VEAjEgeSkpUSos17SsupnTZcgCOPu8yrj3uWgAeXv4w+0r3tVgdIiLSPrhcLlJTU+nWrRuTJk1iypQpfPrpp83aZqPCyDPPPEOvXr0IDw9n2LBhfPXVV/Xab8mSJTgcDgYPHtyYZluv8Fg+j4kH4Mz4fi3adPGiRZgeD85evXD16cPU46fSL7EfBe4C7l96P6Zptmg9IiJyKNM08ZeWtvirqb8Dtm7dyvz58wlr5medORq6w5tvvsltt93GM888w+jRo/nnP//JGWecwfr16+nevXud+xUUFHD55ZczceJE9u7d26SiW5vM4kw2OMAwTcb6GnxKm+TARGcTAQizhTFzzEymfDiFJbuX8N6W9ziv73ktWpOIiNRklpWxceiwFm/3mDWrMRo4I/eHH35IdHQ0Pp+P8vJyAJ588snmKC+owT0jTz75JNdccw3XXnst/fr1Y9asWaSnpzN79uzD7nf99ddz8cUXM3LkyEYX21p9ufNLAIa43STlbj3C1qFjVlRQsjjQKxUzcWJwfZ/4PtwwOHB974lvniCnLKfFahIRkbZtwoQJrFu3jhUrVnDzzTczefJkbr755mZts0H/jK+oqGD16tXcc889NdZPmjSJpUuX1rnfyy+/zJYtW3j11Vd55JFHjtiO2+3G7XYHPxcWtu5bVavCyISSMsj6ocXaLV21Cn9JCfakJMIH1byV+PL+lzN/23w27N/AYyse48nxzZtqRUSkbkZEBMesWW1Juw0VFRVF3759AXjqqaeYMGECDz30EA8//HCoywtqUM9ITk4OPp+PlJSaAzRTUlLIysqqdZ+ff/6Ze+65h9deew2Ho37ZZ+bMmcTFxQVf6enpDSmzRRVVFLEqaxUAE0rLAg/M83lbpu0vFwIQPX4chq3mf0qHzcHDox/GYThYsGMBC3YsaJGaRETkUIZhYIuMbPGXYRhNrv2BBx7gL3/5C3v27AnBmahdowawHvzDmaZZ6w/s8/m4+OKLeeihhzj66KPrffzp06dTUFAQfO3cubMxZbaIlVkr8Zpeesb2oIfhBG857N/S7O2apknxl4EemZgJE2rd5pjEY7hq4FUAPLr8UQrcBc1el4iItC/jx49nwIABPPZY881h1aAw0qlTJ+x2+yG9INnZ2Yf0lgAUFRWxatUqbrrpJhwOBw6HgxkzZvDtt9/icDj44osvam3H5XIRGxtb49VaLd8TuK32pLSRwcnPyPyu2dut2LwZz65dGE4nUaNG1bnd9cdfT6+4XuSW5/KXVX9p9rpERKT9mTZtGs8//3yzdQ40KIw4nU6GDRvGggU1u/wXLFjAqFp+IcbGxvL999+zbt264Gvq1Kkcc8wxrFu3jhEjRjSt+lZgeWZVGDkJ0gYHVmaua/Z2qy7RRJ40AtthRkq77C4eGvUQBgZzN89l2Z5lzV6biIi0Ta+88gpz5849ZP3FF1+M2+1utmETDb4Pddq0aVx22WUMHz6ckSNH8txzz5GRkcHUqVOBwCWW3bt38+9//xubzcbAgQNr7J+cnEx4ePgh69uirJIsthdux2bYGJ46HPZnBr7Ys67Z2y6u7FWKOeWUI247JHkIU46Zwhsb3+DRFY/y9jlv47K7mrtEERGRemlwGJkyZQq5ubnMmDGDzMxMBg4cyLx58+jRowcAmZmZZGRkhLzQ1mhF5goABiQNIM4VV61n5Fvw+wNP9G0G3txcyr79FoDo8ePrtc8tQ2/h84zP2VG4gxe/fzF466+IiIjVGvXb8oYbbmD79u243W5Wr17N2LFjg9+98sorLFy4sM59H3zwQdatW9eYZludGpdoADofC45wqChq1kGsxYsWg2ni6t+PsNTUeu0T44zh9yf+HoAXvn+B7QXbm60+ERGRhtCzaZpg9d7APeMnpJ4QWGF3QOpxgffNeKkmeBfN+NrvoqnL5B6TGd1lNB6/h0dWPKKp4kVEpFVQGGmkrJIsMksysRk2ju98/IEvmnkQq9/tpnjJEgCi6zFepDrDMLhvxH247C5WZK7go20fNUeJIiIiDaIw0kjr9q0D4JiEY4gMq3Y3S5chgWUz9YyUrlyJWVqKIzmZ8AH9G7x/emw6vx30WwD+/M2fNfeIiEgz8fv9VpfQIkLxc7bsU93akW+zAwNIBycPrvlFl8rPzTSIteoSTfT48Y2eWe/KAVfy4dYP2VawjafWPMX9I+8PZYkiIh2a0+nEZrOxZ88eOnfujNPpDMlMqK2NaZpUVFSwb98+bDYbTqez0cdSGGmktdlrARjceXDNLzodA46IA4NYOx0VsjZN0zwwBfyE8Y0+jtPu5P6T7ufqT67mrU1vcU7fc2peahIRkUaz2Wz06tWLzMzMZp1CvbWIjIyke/fu2Jrwj2+FkUYo9ZTy0/6fgFp6RqoGse5aGbhUE8Iw4t64EW9mJkZ4OFFNfPrxCakncE6fc3h/y/vMWDaDN3/xJg6b/jiIiISC0+mke/fueL1efD6f1eU0G7vdjsPhaHLPj377NMKPuT/iM30kRyaTFpV26AZdBleGkbUw6IKQtVt1iSZq1Chs4eFNPt4dw+9g0a5FbMrbxGsbXuOKAVc0+ZgiIhJgGAZhYWGEhYVZXUqrpwGsjfDtvsB4keM7H197GuwyNLDcvSqk7YbiEk11ieGJTBs2DYCn1z1NVkntT14WERFpTgojjbA+dz0AAzvVMaV9+omB5Z514K0ISZue7GzKvws8gC963LiQHBPgvL7nMbjzYMq8ZTy+8vGQHVdERKS+FEYaYUPuBgD6J9Vxa21ib4hIBJ8bsr4PSZslixcDEH7ccYQlJ4fkmAA2w8b9I+/Hbtj5PONzFu1cFLJji4iI1IfCSAMVuAvYVbwLgH6J/WrfyDCgW+WsrLtWhqTd4kWBMBI9PnS9IlWOTjiay/tfDsBjKx6jzFsW8jZERETqojDSQFV30XSN7hp4OF5d0ivDyM6mhxGzooKSpUsBiB4b+jACMPX4qaRFpbGnZA///PafzdKGiIhIbRRGGqhqvEidl2iqdKscN7Kr6YNYS9esxV9Sgj0pqVGzrtZHZFgk95x4DwD/+vFfbM7b3CztiIiIHExhpIGOOF6kStehYNigIAOKmnaXSnHleJHoMWMwQjyja3WndD+F8enj8ZpeHl7+sB6kJyIiLUJhpIHW76/sGUk8QhhxxUBy5TZNvFRTvDgwqDR63NgmHac+pp84nQhHBGuy1/DelveavT0RERGFkQYorihmR+EOAPol1TF4tbrgINZvGt1mxa7dVGzeAnY7UaNGNfo49dUlugu/O/53APx11V/JL89v9jZFRKRjUxhpgM35gXEUyZHJJIQnHHmHqvlGmhBGSr4KXKKJGDIYe9xhBsyG0KX9L6VvfF/y3fn8bc3fWqRNERHpuBRGGuDn/J8BOCqhns+bqeoZ2bMWvO5GtRm8pbeZ7qKpTZgtjPtPCjzJ952f3wk+FFBERKQ5KIw0QNUdJkfF1zOMJPWFqM7gLYfdaxrcnt/tpmT5cqBlxotUNzRlKL866lcAzFg2A4/f06Lti4hIx6Ew0gBVl2nq3TNiGNCjcpzHjiUNbq905TeY5eU4UlJwHX10g/dvqtuH3k68K57N+Zt5df2rLd6+iIh0DAojDVAVRvrG963/Tj1GB5aNCCPBW3rHjm3y45kbIz48PvggvdnfzmZP8Z4Wr0FERNo/hZF6yi3LZX/5fgwMesf1rv+OVWEkYwX4vA1qsyVv6a3LuX3PZWjyUD1IT0REmo3CSD1VDV7tHtudcEd4/XdM7g/h8eApgcxv671bxfbteHZkQFgYkSeNbGC1oWMzbNx/0v04DAdf7vySLzK+sKwWERFpnxRG6qlq8GqDLtEA2GzVxo18Xe/dqi7RRA4fhj06qmFthljfhL5cMeAKAB5f+TilnlJL6xERkfZFYaSeGjVepEpw3MjSeu9SvLDyEk0L3tJ7ONcffz1do7uSWZLJs989a3U5IiLSjiiM1FPVZZq+CY0JI1U9I8vA7zvi5v6SEkq/CUyUZuV4keoiHBFMP3E6AP/58T9syttkcUUiItJeKIzUg2mabCvYBtCwwatVUgeBMwbcBbD3hyNuXrJiBabHQ1i3bjh79Wp4e81kXPo4JnafiNf08sjyR/CbfqtLEhGRdkBhpB7y3HkUVRRhYNA9pnvDD2B3QPeTAu+3fXXEzQ/MumrNLb2Hc8+J9xDhiGBt9lrmbp5rdTkiItIOKIzUw/aC7UDgIXINupOmut6VYz+2fnnYzUzTPDC/SCu5RFNdalQqNw6+EQg8SC+nLMfiikREpK1TGKmHqif19ojt0fiD9J4QWG5fctjn1Lh//hlvZiaGy0XkiSc2vr1mdEm/S+iX2I/CikIeW/GY1eWIiEgbpzBSD9sKA+NFmhRGUgZAVDJ4y2Dnijo3K6m6pXfEidgiIhrfXjNy2Bw8NOoh7IadBTsW8NmOz6wuSURE2jCFkXrYURDoGekZ27PxBzEM6FPZO7Kl7ks1VjyltzH6JfXj6oFXA/DoikcpcBdYXJGIiLRVCiP1sL1wO9DEMAIHLtVsqX0WU19REaVrAk/3bY3jRQ52/fHX0zO2JzllOfxl1V+sLkdERNoohZEj8Pl9ZBRlANAzrmfTDtZ7fGCZ+S2U7j/k65IlS8Hnw9mrF8709Ka11QJcdhczRs/AwGDu5rks3VP/Sd1ERESqKIwcwZ6SPXj9Xpw2J6lRqU07WGwadO4HmLB14SFfV39Kb1sxJHkIFx17EQAzls3QVPEiItJgCiNHUHVbb/fY7tiMEJyuqnEjB93ia/r9FH/Vem/pPZxbh95KWlQau4t389Tap6wuR0RE2hiFkSOouq23V1yIZkKtGjey+XMwzeDq8g0b8O3LwYiMJGL48NC01UIiwyJ5cOSDAMzZMId12essrUdERNoWhZEjqBq82qiZV2vTaww4IqBwd42p4atu6Y0aORKb0xmatlrQqK6jOLfPuZiY3L/kfsq8ZVaXJCIibYTCyBHsKt4FBC7ThERYxIGBrJvmB1dXnwK+rbrrhLtIjkhme+F2nlqjyzUiIlI/CiNHsLtoNwDdoruF7qBHTw4sN30CgDcvj7JvvwUgeuyY0LXTwuJccTw46kEAXt3wKiszV1pbkIiItAkKI4fhN/3sLq4MIzHNEEZ2rYLifZR8vQRME9fRRxOWlha6diwwptsYfn30rwG4f8n9FFcUW1yRiIi0dgojh5Fdmo3H78FhOEiJTAndgWO7QOogwITNC1r1g/Ea487hd9I1uit7SvbwxDdPWF2OiIi0cgojh7GrKDBeJC06DbvNHtqDH306AOZPH1Py1VcARI1pu5doqosKi+LRkx/FwODdze+ycOdCq0sSEZFWTGHkMKoGr4Z0vEiVYwJhpHzFInz5+dhiYogcMiT07VhkWMowLu9/OQAPLn2QvPI8iysSEZHWSmHkMKrGi3SN6Rr6g6cNgahkijP8AESNGoURFhb6dix089Cb6RPXh9zyXB5e/jBmtXlVREREqiiMHEbVZZpm6Rmx2eDYsyjOdAFt+5beurjsLh4b8xgOw8GCHQuYu3mu1SWJiEgrpDByGMEwEso7aarxpk2gfH9ggrOo0SObpQ2r9U/qz41DbgRg5sqZwen1RUREqiiMHEbwtt7m6BkBijO8ALgSKggr+7lZ2mgNrh54NSNSR1DmLeP3i39Pha/C6pJERKQVURipQ5m3jH1l+4Dm6xkp+XopANFpblj/XrO00RrYDBuPjXmMeFc8G/Zv0OysIiJSg8JIHfYU7wEgJiyGWGdsyI9ver0UL1kCVIaRDR+A3x/ydlqL5MhkHh79MAD/Wv8vluxeYnFFIiLSWiiM1KH6nTSGYYT8+GXffYe/oABbbCwRXSOgeC/sXBHydlqT8enjufCYCwG47+v7yC3LtbgiERFpDRRG6lDVM9IlqkuzHD846+rJozH6nRlYuX5us7TVmtwx/A76xvcltzyX+76+D7/ZfnuDRESkfhRG6pBZkgkEZl9tDlVhJGrsWOh/XmDlD++Az9ss7bUW4Y5w/jz2z4Tbw1myZwnPf/e81SWJiIjFFEbqUBVGUiNTQ35sT3Y27vUbAIgeMwb6ToTIJCjJhm0LQ95ea9M3oS9/OOkPADy97mmW7VlmcUUiImIlhZE67C3ZC0BqdOjDSMlXXwMQPnAgjqQksIfBwPMDX377Zsjba43O7Xsu5x91PiYmdy++m6ySLKtLEhERiyiM1KE5e0aKKx+MV2PW1UFTAsufPgR3ccjbbI2mj5hOv8R+5LnzuGvRXXj8HqtLEhERCyiM1MLn95Fdmg1AWlRox4yYHg8lVbf0jq32lN6uwyCxD3hKA4GkA3DZXfx1/F+JCYth3b51/G3136wuSURELNCoMPLMM8/Qq1cvwsPDGTZsGF9V/ku/Nu+88w6nnXYanTt3JjY2lpEjR/LJJ580uuCWsK9sHz7Th8Nw0CmiU0iPXbZuHf6iIuzx8YQfd9yBLwzjQO/It2+EtM3WLD0mnUdPfhSA/6z/D/O3z7e4IhERaWkNDiNvvvkmt912G/fddx9r165lzJgxnHHGGWRkZNS6/eLFiznttNOYN28eq1evZsKECZx99tmsXbu2ycU3l6rxC8mRydht9pAeu3hxILhFjRmDYT/o2IN+E1huWwSFe0Labms2ofsErhp4FQB/XPJHftr/k8UViYhIS2pwGHnyySe55ppruPbaa+nXrx+zZs0iPT2d2bNn17r9rFmz+P3vf88JJ5zAUUcdxWOPPcZRRx3FBx980OTim0tVGEmNaobxIlXzi1S/RFMlsRd0HwmmH9a9FvK2W7NbhtzCqC6jKPOWcesXt7K/fL/VJYmISAtpUBipqKhg9erVTJo0qcb6SZMmsXTp0nodw+/3U1RURGJiYp3buN1uCgsLa7xaUnOFEc/evbg3bgTDIOrkk2vfaNiVgeXqf7fr6eEP5rA5eGLsE/SI7cGekj1MWzgNj08DWkVEOoIGhZGcnBx8Ph8pKSk11qekpJCVVb9bM//6179SUlLCb37zmzq3mTlzJnFxccFXenp6Q8pssuCEZyEevFrVKxI+6DgcCQm1b9T/XAiPg4IM2PpFSNtv7eJccTw14SmiwqJYvXc1j6983OqSRESkBTRqAOvBz2oxTbNez295/fXXefDBB3nzzTdJTk6uc7vp06dTUFAQfO3cubMxZTZac/WMlAQv0Yyte6OwCDj+osD71a+EtP22oHd8b54Y+wQGBv/d9F/+u/G/VpckIiLNrEFhpFOnTtjt9kN6QbKzsw/pLTnYm2++yTXXXMN///tfTj311MNu63K5iI2NrfFqSc3RM2JWVFCyNDDTaPTYcYffeOgVgeXGj6Go400GNrbbWG4ZegsAM1fMZOme+l0CFBGRtqlBYcTpdDJs2DAWLFhQY/2CBQsYNWpUnfu9/vrrXHnllcyZM4ezzjqrcZW2oL2llbOvhrBnpHTNWvwlJdiTkggf0P/wG6f0h/QR4PfC2ldDVkNbcs3Aazir91l4TS/TFk5j4/6NVpckIiLNpMGXaaZNm8YLL7zASy+9xIYNG7j99tvJyMhg6tSpQOASy+WXXx7c/vXXX+fyyy/nr3/9KyeddBJZWVlkZWVRUFAQup8ihMq95cE7OUIZRoq/qnpK78kYtnqc9qqBrKtebvcPz6uNYRjMGDWD4SnDKfGUcMPnNwSn6BcRkfalwWFkypQpzJo1ixkzZjB48GAWL17MvHnz6NGjBwCZmZk15hz55z//idfr5cYbbyQtLS34uvXWW0P3U4RQVa9IhCOCWGfoLg+VBJ/SW8stvbUZ8CuI7ASFu+Cn1nsbdHNy2p3MmjCL3nG9yS7N5sbPb6S4omNMlS8i0pEYpmmaVhdxJIWFhcTFxVFQUNDs40e+yfqGqz+5mp6xPfngl6EJAZ7du9k88VSw2Th66RLs8fH12/HLx2DRnwKXbK75NCS1tEW7i3dzyUeXkFuey+guo/n7xL8TZguzuiwRETmC+v7+1rNpDrKvdB8AnSM7h+yYRQsXAhAxdEj9gwjA8GvA7oSdK2DX6pDV09Z0je7K0xOfJsIRwZI9S3hw6YP4zY4zB4uISHunMHKQfWWVYSQidGGkeOEiAGLGj2/YjjEpMPDXgffLnwlZPW3RgE4D+PPYP2M37Ly/5X3+/M2faQOdeiIiUg8KIwepelpvcmTd86A0hL+khNLlywGInjCh4Qc4KTAwmPVzoWBXSGpqq8alj2PG6BkAvLrhVf753T8trkhEREJBYeQgwcs0IeoZKVm2DNPjISw9HWfv3g0/QNrx0HNM4Dbfpf8ISU1t2Tl9zuGeE+8B4Ol1T/Paho71DB8RkfZIYeQg2WWh7RmpGi8SPX58vWaprdWYOwLL1a9AcXZI6mrLLul3CTcMvgGAx1c+zgdbOubdRiIi7YXCyEFCOYDV9PsPjBeZML7xB+o9HroOB28ZLHu6yXW1B1MHTeXSfpcC8Iclf2D+tvkWVyQiIo2lMFKNaZrBAazJEU3vGSn/8Ud8OTnYIiOJHD688QcyDBh7Z+D9Ny9A6f4m19bWGYbBXSfcxa+O+hV+08/dX92tQCIi0kYpjFRT7CmmzFsGQKfITk0/3pdfAhB18skYTmfTDnb06ZByHFQUw4pnm1xbe2AzbDww8gF+2feXwUDy8baPrS5LREQaSGGkmqpLNDHOGCIcEU0+XnC8SGPuojmYYcDYyrEjy2erd6SSzbDx4KgHg4Hknq/uUSAREWljFEaqCQ5eDcElGs/evbjXbwDDILq+U8AfSb9zIfU4cBfCV38NzTHbgdoCiQa1ioi0HQoj1YRy8GrxlwsBiBg0CEdSUpOPB4DNBhMfDLxf+Tzk7wzNcduBqkBSNYbk3q/v1W2/IiJthMJINaGc8Kw4lJdoqus7EXqcDD43LHo8tMdu46rGkFTdZfP4ysd5Zt0zmqlVRKSVUxipJlRTwfvLyihZtgyA6Anjm1jVQQwDTn0w8H7dHMj+KbTHb+Nsho3fn/B7bhx8IwCzv53N4ysf17NsRERaMYWRaqp6Rpp6maZk+XJMtxtHlzRcRx8ditJqSj8Bjv0FmH74ZDroX/41GIbB1OOnMv3E6QDM+WkO9359Lx6fx+LKRESkNgoj1VSNGWnqZZriL74AAg/Ga/Ssq0cy6WGwu2DLF/DTR83TRht3cb+LmTlmJnbDzkdbP+L6z66nwF1gdVkiInIQhZFqQnGZxvT5KPoiML9I9MSJIamrVom9YdTNgfefTAdPWfO11Yb9ovcveGbiM0SFRfFN1jdcOu9SdhZq4K+ISGuiMFLJNM2Q3E1Ttm4dvtxcbDExRJ14YqjKq92YaRDbDfIzYMlTzdtWGzaq6yj+fca/SY1KZXvhdi6ZdwnrstdZXZaIiFRSGKlU7Cmmwl8BQFJ442/FLVrwGVD5YLywsJDUVidnVOByDcDXT0LuluZtrw07OuFo5pw5h/5J/clz53HNJ9doLhIRkVZCYaRSblkuAFFhUYQ7wht1DNM0Kfr8cwBiTj01ZLUd1oBfQu8J4C2H928Bv+4aqUvnyM68PPllxqePp8Jfwb1f38ufVv4Jj18DW0VErKQwUim3PBBGmtIr4t60Cc/OnRguF9FjTg5VaYdnGHD2LAiLhB1fw+qXW6bdNioyLJJZ42fx20G/BeDVDa/y209/GwyjIiLS8hRGKlX9MkqKaPolmqhRo7BFRoakrnpJ6AkTHwi8X/AAFOxqubbbILvNzs1DbmbW+FlEOiJZtXcVUz6cwg85P1hdmohIh6QwUqmqZyQxPLHRx2jxSzTVnfhbSB8BFUXw3k26XFMPE3tM5PWzXqdnbE/2lu7lso8v49X1r2rGVhGRFqYwUinYM9LIyzQVu3bh3rABbLbQz7paHzYbnPs0OCJg65ew/OmWr6EN6h3fmzlnzeGU9FPw+r386Zs/ccsXt5BXnmd1aSIiHYbCSKXgmJFGXqYp+ixwiSZy2DAciY3vXWmSTkfB6TMD7z97CPastaaONibGGcOsCbO4d8S9hNnCWLhrIb/+4NesylpldWkiIh2CwkilpvaMFH9WdYmmGSc6q49hV0K/s8Hvgf9dA+5ia+tpIwzD4KJjL2LOWXPoGduT7NJsrvn0Gp5a8xQVvgqryxMRadc6dBhZuW0/763bzZcbs9ldGHguTWN6RjzZ2ZSuXg1A9EQLxotUZxhw9lMQ0wX2b4H3b9Kzaxrg2MRjefMXb3Jun3Pxm36e//55LvzoQjbkbrC6NBGRdqtDh5E5K3Zw6xvruOrlb/hpXyYAz3y+lzkrMsgvrf+/hos+XQCmSfjxg3B269pc5dZfZCL8+iWwOeDHd2GpZmdtiMiwSB45+RGeHP8kieGJ/Jz3Mxd/dDGz183WnCQiIs2gQ4eRo1JiGNk7if5psRiOwOWMtdu83Pvu95w083Omv/M9m7OPfJmjcP7HAMSefkaz1tsgPUbC6Y8H3n/2YOCBetIgp/U4jXfOeYfTepyG1/TyzLfPcMlHl/Bjzo9WlyYi0q4YZhu4j7GwsJC4uDgKCgqIjY0N+fFLPaWMmDMCgGvS5zD/uzx+yioCwGbA+UO7cdtpR9M1PuKQfT1797J5/AQwTfp++QVhaWkhr6/RTDNwm++6VyEiAa5ZEBjkKg1imiYfb/uYR1c8SmFFITbDxoXHXMjNQ24m2hltdXkiIq1WfX9/d+iekSpVd9KE28O5dcJAPr51DP+9fiSn9kvBb8Jbq3cx4c8L+csnGymr8NXYt+iTT8A0iRgypHUFEQiMHznrr9B1OJTlwavnQ9Feq6tqcwzD4MzeZ/Leee9xZq8z8Zt+5vw0h3PmnsMn2z/RvCQiIk2kMMKBO2kSwxMxDAPDMDixVyIvXDGcd28YxcjeSVT4/Pzjy82c9rdFfLb+wC/0wnmVl2jOaEWXaKoLC4eL3oCEXpC/A+ZcAO4iq6tqkzpFdOJPY//EP0/7J91jurOvbB93LrqT3332O7bk6yGFIiKNpTDC4ecYGdI9gTnXjeDZS4fRJS6cXXllXPvvVfz236vI3LSNsnXrwDCImTy5hatugOjOcOnbENkJMr+F/14OXrfVVbVZo7qM4p1z3+F3x/+OMFsYS/Ys4fz3z+eR5Y+wv3y/1eWJiLQ5CiMceY4RwzA4fWAqn90xjqnj+uCwGXy6fi9PPfAcABHDhhGWktxi9TZKUh+4+L+BB+pt+QLevEyBpAlcdhc3DL6BuefOZWL3ifhMH29ufJOz3jmLl394WXOTiIg0gMII9Z99NdLp4J4zjuWDm0/muK5xnLQtMEPn+wn9yCwoa/Y6m6zbsMAlG0cE/PwJ/PcK8OqXZlN0j+3OrAmzeGnyS/RL7Eexp5gnVz/J2e+ezTs/v6NbgUVE6kFhhJpjRuqjX1osb0xK5uj8XXgNGy86+jDpycW8vjKj9Q9m7D0OLn4DHOGw6ePAJRtPGwhSrdwJqSfw+lmv8/Doh0mOSGZPyR4eWPoA5809jw+2fIDP7zvyQUREOiiFEQhe52/I7KslH34IQNiok+l9VDeK3F6mv/M9l764gozc0mapM2R6j4eLXj8QSP7zy8DdNtIkdpud8/qex0e/+og7h99JYngiGUUZ3Pv1vfzq/V/x8baP8fq9VpcpItLqKIxQbcxIPcOI6fNR8MEHAHS54Ff8b+oo/nBWP1wOG0s25zJp1iL+uWgLXp+/2Wpusj6nwKXvgCsOMpbBS2dAwW6rq2oXwh3hXDHgCj7+1cfcOvRWYp2xbC3Yyu8X/56z3z2bN396k3JvudVlioi0GgojHOgZSXTV7zJN6cqVeLOysMXGEj1hPHabwbVjevPJbWMZ1SeJco+fmR//xDn/WMJ3u/Kbr/Cm6jkarv4YYtJg3wZ4YSLs0pNqQyUyLJJrj7uW+efP54bBNxDvimdX8S4eWfEIk9+ezPPfPU9hRaHVZYqIWE5hBMh35wOQEJ5Qr+0L5r4HBOYWsblcwfU9O0Xx2rUj+POvBxEXEcb6zELOe3oJD3+4nhJ3K+2eTxkA13wKnY+Fokx4+QxY+5rVVbUrMc4Yfnf87/jk/E+458R7SItKY3/5fp5a+xSnvnUqM5bNYFPeJqvLFBGxTIefDt7n9zHkP0MwMfnyN1/SKaLTYbf3l5ay6eQxmKWl9Jgzh8ihQ2rdLqfYzcMfrue9dXsA6BIXzj1n9uPsQWkYhhHSnyEk3EXw7lT4KTAWhhOuhUmPBiZNk5Dy+D3M3zafl398mZ/zfg6uH54ynAuPvZBTup9CmC3MwgpFREKjvr+/O3wYySvPY+ybYwFYc9maI/4SyP/f/8j8w/2E9ehOn/nzjxgsFm7M5g9zf2BXXuCOleE9Evjj2f0Z1C0+JPWHlN8Pi5+AhTMDn5MHwPkvQEp/a+tqp0zTZNXeVbz+0+t8kfEFPjNwx01yRDLn9D2Hc/ucS8+4ntYWKSLSBAoj9bS1YCvnzj2XGGcMSy9aesTtt/36Asp/+IHkO+8g6dpr69VGucfHc4u3MnvhFso8gV84vx7WjdvrePie5X5eAHN/ByX7AnfcnDYDTrgObLqq11yySrL436b/8damt2rM4jq482DO63sek3tO1kP5RKTNURipp9V7V3Pl/CvpHtOdj3710WG3LfvxR7af/2sIC+OoRQtxJNZvwGuVzIIynpi/kXfXBu5acdptXHRiOjdO6EtybCu7HFKcHQgkmz8LfE4fAWc/BcnHWltXO+fxefhy55e8t+U9vt79NX4zcEdWuD2cU7qfwuk9T2dU11G47K4jHElExHoKI/X0+Y7PuW3hbQzqPIjXzjz8wM3MPz5A/n//S+yZZ9L1yb82us01GXn86eOfWLEt8C9gl8PG5SN7cN2Y3q0rlPj98M0L8NmD4CkBWxiMmQYn3w5hrbBHp53ZV7qPD7Z+wNzNc9lWsC24PjosmgnpE5jcczIju4zEaXdaWKWISN0URurpf5v+x0PLHmJ8t/H8feLf69zOV1zMz2PHYZaW0v1f/yJqxIlNatc0TZZuyeWvn25kTUY+EOgpOXdwF64b25ujU2KadPyQyt8J8+6ETfMDn2O7wcQ/wnEX6NJNCzBNkx9yfuDj7R/z6fZP2Vt64KnRMWExjE0fy/hu4xnVdRSxztD+/yEi0hQKI/X0wvcv8H9r/o/z+p7Hw6MfrnO7/f/+D3sfewxnr170nvdRyO6IMU2ThZv28ffPfw6GEoBxR3fmilE9GHd0MnZbK7j7xjRh/Xvw6R+gYGdgXdpgOO0h6DUOWuMdQu2Q3/Tz3b7v+GT7J3y6/VOyy7KD3zkMB0NThjK221jGdRunwa8iYjmFkXr68zd/5t/r/81VA65i2vBptW5jer1smXw6nt27SX3wARIuvDCkNVRZvSOPF77ayvwfs6j6r5IWF84Fw9P5zfBudEuIbJZ2G8RTBstnw1dPQkVRYF36CBh7F/Q9VaGkBflNP+uy17Fw10IW71zMloItNb5Pj0lnRNoIRqSN4MTUE+v97CURkVBRGKmn+76+j/e3vM/tw27n6oFX197+/Pnsvu127PHx9P3yC2wRzTteYkduCf9auoN31u4ivzTw1FfDgJG9k/jFoC6cPjCVxCiLxwkU74PFf4bVr4DPHViXNhhG3gT9zwWHxjG0tJ1FO1m8azGLdi7im73fHPIcnGMSjgmGk8HJg3VJR0SancJIPf3us9/x9e6vmTFqBr886peHfG+aJtunXEj5d9/R6YYb6HzLzSFt/3DKPT4+Xb+XN1ZmsHRLbnC93WYwqk8SZx6XxoRjkkmNs3DQa1EWLP07rHoJPJUPCIxOgWFXwbArITbNuto6sBJPCav3rmbZnmWsyFpRY3I1AAODPvF9GJI8hMHJgxnSeQjdYrq1zgn5RKTNUhipp4s+vIgfcn/g76f8nfHp4w/5vmT5cjKuvArD6aTvl1/gSKr/k31Daef+Uj78LpOPvt/DD7trPs/k2NQYxh+TzIRjOjO0RwJhdgsGlZbkBO68WfUyFGcF1hl26DsRBk2BY8/SHTgWyi3LZWXWSlZkrmBl1kp2Fu08ZJuk8CSO73w8AzoNoH9Sf/ol9mvQk6xFRA6mMFJPp799OruLd/OfM/7D4OTBNb4zTZMdF11M2bp1JFxyCan3/yGkbTfW9pwSPvo+kwXr9/Ltrnyq/xeMCLMzpHs8J/RMZESvRIZ0TyDCaW+54nwe2PABrHwu8DTgKs6YwOWbfmdD7/GaZt5iOWU5fJv9Lev2rWNt9lrW567H4/ccsl1KZAr9kvrRP6k//RP7c3TC0aRGpaoHRUTqRWGknk6acxIlnhI+/OWH9IjtUeO74sWL2fnb6zHCw+nz6SeEJSeHtO1Q2F9SweJN+1i4MZvFP+ewv6SixvcOm8GxaTEc1zWOAV3iGNg1jmNTYwgPa4GAkvMzfPcmfPsmFGQcWB8WBX1PgWPOgqNOg6jDPw9Imp/b52Z97nq+2/cdP+b+yIbcDewo3IHJoX89RIdF0zu+N33j+9Inrk9gGd+H5MhkhRQRqUFhpB4qfBUMe3UYAF9f+DVxrrjgd6bPx7ZfX4B7wwYSr7malLvuClm7zcXvN9m8r5iV2/bzzfb9rNy2n8yC8kO2s9sM+naOpm9KdGCZHHj16hTVPCHF7w/0kvz4Dvw0D4r21Pw+ZSD0Ghu4RbjHKAjXwMrWoMRTwk/7f2JD7gbW565nw/4NbC/Yjtes/QnUMc4Yesb2JD0mnR6xPUiPSad7bHd6xPQgzhWnoCLSASmM1MPekr2c+r9TsRt21l62tsZflvtfe429Dz+CLTaWPp/Mx5GQELJ2W4ppmuzOL+P7XQX8sKeA73cX8sPugkN6T6oYBnRLiKB7YiTd4iPplhBBt8QIuiUE3ifHhDd9zhPThMx1gVCy8WPY+/1BRdgDD+brOhy6DQ8sOx2tydVaCY/Pw/bC7WzJ38Lm/M3B5c6incEH/dUmxhlD95jupMekkxadRlpUGl2iupAalUpadBoxYTEKKyLtkMJIPWzcv5Fff/BrksKTWDhlYXC9NyeHLWeehb+wkJQ/3k/ixReHrE2rmaZJVmE5GzIL2ZxdXONVWF77v3ir2G0GnaKdJMeEkxzjIjnWRedoF51jA587RbtIiAwjPtJJXERY/YJL8T7Y/hVsWwTbFsP+rYdu44oN9J6k9Ifkqlc/iIhv3EmQkKvwVbC9cDsZhRlkFGXUWFafMbYuUWFRpEWlBcJJVBqdIzvTOaIznSI6BV9JEUlHfKq2iLQu9f397WjBmlqdPHceAAnhB3o9TNMk8w/34y8sxNW/HwlTplhVXrMwDIO0uAjS4iI45diU4HrTNMkprmDrvmJ255exK6+MXXmllcsy9uSX4fWb7C10s7fQXa+2YsMdxEc6SYgMIy7SSXxEGPGRYUS7HES5HERXvqJco4g+dixRx9uJ92QTt/87ovatw5m1BiNzHbgLIWNp4FWjga6Q1AcSe0NCr8AysTck9gJnVAjPmhyJ0+7k6ISjOTrh6EO+K/OWsatoFxlFGewq2kVWSRZ7iveQWZJJVkkWee48SjwlbM7fzOb8zYdtJ8GVQFJEUjCoJEUkEeeKI8GVQLwrPvA+PIE4VxxxrjiFF5E2olFh5JlnnuHPf/4zmZmZDBgwgFmzZjFmzJg6t1+0aBHTpk3jxx9/pEuXLvz+979n6tSpjS46VPLL8wGId8UH1+X9+98UL1yI4XTSZebjGPYWvBPFQoZh0DnGReeY2p8G6/Ob7Ctyk11UXrl0k11Y83NOsZuCMg9FlT0sheVeCsu9ZOxvaDWRwChgFBEOkwGO3Qyw7+QYYxd9yaCXfwed/TlQuDvw2rb4kCOUOeIpcSVTGp5CWUQK7ogU3JGpeKJS8USkYEYmQWQiDoeTMLtBmMNGmM1GmMMgzH7gvcNmw24zsBsGNlugd6jqs91m6NJCPUQ4Ijgq4SiOSjiq1u/LvGVklWQFw0lmSSb7SveRW5bLvrJ95JTlkFuWi9f0kufOI8+dd8TQUiUmLIb48PhgUIlxxhATFkO0M5oYZwzRYdGB95Xrqj5HhwVedlvH+P9fxGoNDiNvvvkmt912G8888wyjR4/mn//8J2eccQbr16+ne/fuh2y/bds2zjzzTK677jpeffVVlixZwg033EDnzp05//zzQ/JDNNbBPSOFn37K3sf/BEDyXXcRfsyh/8rrqOw2g9S48HpNsObx+Sks85BX6qGgrIL80sD7/NKKYFgpcXspqfBS7PZR4vZSXO6luHJdiduLxxe4eljmNVjl7cYqutVoI5YS+hq76Wlk0cOWTQ8ji57GXrobe0k0ionw5hPhzYeSTYetNd+MYr8Zw35iyTJjyDVjyCOGQjOKIiIoMiMoIpIiM5Jiqt5HUEwEPuwYRuCOJZthVAstRmBdtdBS9bIZVYHGht0GdiMQaGwGB5YYGEZgDI/NMKotDQyosS1U7Xtg2wPbVduXasc/wrZwYFb/wLfVP1Pzs2EE11Hffer4HqMT0AmDgcQbEA/0DTcgHEjw4/YXU+bPo9SXF1yW+4sCL19h5fvA0u0vAUyKPEUUeYpqnVelPsKMCMJs4YQZrsplOGE2V+UyvMY6R+U6Z7XvHYYTuxFWuXRiNxw4bM4a623GoYGnqRG3qSE5FBm7yYdo6s/Q1PabXgJGE6to6X/rjOqTRI8ka3qVGzxmZMSIEQwdOpTZs2cH1/Xr14/zzjuPmTNnHrL93Xffzfvvv8+GDRuC66ZOncq3337LsmXLDtm+Ns01ZmT2utk88+0z/KbvBdy4pRd7//Qn8PmI/81vSH3oQf2r10Jur4/ici9lHh/lHj/lHh9urw+3x0+598C64LJyndvjg7J8Isr3Eu3eS3RFNjEV+4j1ZBPnySHBu484336izSJstdy22hClpotSXJTjpNx0UoaTMlyUm07KK9+XmYGlGydlppMKwqjAjgdH8FVhOmp+xoHHtNf8jAOvaceHrfIVeO8Pfg6892LDRIN9wY9hLwN7KTZ7CdhLMewlGPZyDFvly14OtnIMmzu4nuD3hx8/FUqmaYDpAH8YpukA0xFc4q96bwfTjmnaATuYtgOfTVvlOjtm5frg9tiq7Vv5vnL/A/vawDRqLE3TRuDXefXvbJgYlfsYh+xrVtuO6tvpz2Ob8dRFQzjn+C4hPWazjBmpqKhg9erV3HPPPTXWT5o0iaVLl9a6z7Jly5g0aVKNdZMnT+bFF1/E4/EQFnboNV23243bfWBcQmFh4SHbhELUF6u45hsfo7Pns3d3oJck7rzzSP3j/QoiFnM57Liim7GL3O+DsjwozQ3MHluaC6WVy5LcwDiV8gJwF2G6C6G8KLDOXYjhDdwuHWm4iaTyz2kr++PiNwK/iEzDHnhv2KqtC7z3U7U+8EvDDPSf4K9cmsaBdWbl5+D7g7Y5eLu61gU+E/glaRx4H1ge+B44KCoa1T4btXxftT/BSQBNwwhuVOuxfBC4AcgORGESHdzCA5QZPkoNPxWGn/LKpdvw48bEbZi4g+tM3Phx2/xU4A9+5zb8ePDjNUw8mHgNP57K9z6j2k9jmGB4wOZpbX+MQsZmgq2yn8AILsEwK3vJgq8DfQnBz+aB93Ag2gSPY9axX1XbVT1x5mGOUXV889D/lY2D3jX++wNtVtVTn+3q/r6e7ZoHtXuY+vwFVwOXY4UGhZGcnBx8Ph8pKSk11qekpJCVlVXrPllZWbVu7/V6ycnJIS3t0GeXzJw5k4ceeqghpTVK0prtnLDWBPKwRUbS+fbbSbj0EgWRjsBmD0y2FtUJOh9z2E0P+dPgrQB3ZTjxlFW+SsFbHlhWffZU++wth4qSwAy1vorK15He17LO9AWC1BF6dWymj8Bv20NnVRXr+YAKw6DCCCzdhlFjWfW+6rPHMPACXsPAY4AXA69R+bna+5rrCexXbV9vtX09hoEPAz/gM8B/0PvAksA2RqBmv2EEloDPCGzvr8ffl34D/LXFTP1V26r82qzlbsYW0qgBrAf/sjZN87C/wGvbvrb1VaZPn860adOCnwsLC0lPT29MqYcVe9ppbOn6HT0GjqT/uVdgD/HsrtJOOZzgSIIoC5/b4vcfCCY1ltXW+73VvvPXsm2192agbwLTDGxb9Z7KzybV3pv1fM9htjmonar3Veq6elxjfV3bt+b1gYUdiMAk4ojbWznzQv3aNk0TP4GXr/K9DxO/Wbk8aH3gj5JJ4L+4WdkrFlj6zcrPZiC6+Ku+r1rPgVDjr9zLX/lns+p4/sraTbPa/lXHr1xf43PlzxFo26zau9YzcPD64PKg/07mkbanju3N2tsPbm0e/ngNrffg7Y/qehJWaVAY6dSpE3a7/ZBekOzs7EN6P6qkpqbWur3D4SCpjofOuVwuXK7a7+oIpTFX3HPkjURaI1vl9Xq7bl0VaxkEwpUd0J9GaawGjSxyOp0MGzaMBQsW1Fi/YMECRo0aVes+I0eOPGT7Tz/9lOHDh9c6XkREREQ6lgYPc542bRovvPACL730Ehs2bOD2228nIyMjOG/I9OnTufzyAwNgpk6dyo4dO5g2bRobNmzgpZde4sUXX+TOO+8M3U8hIiIibVaDx4xMmTKF3NxcZsyYQWZmJgMHDmTevHn06BF44m1mZiYZGQee0NqrVy/mzZvH7bffztNPP02XLl146qmnLJ9jRERERFqHDv1sGhEREWk+9f39rdloRERExFIKIyIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSDZ4O3gpVk8QWFhZaXImIiIjUV9Xv7SNN9t4mwkhRUREA6enpFlciIiIiDVVUVERcXFyd37eJZ9P4/X727NlDTEwMhmGE7LiFhYWkp6ezc+dOPfOmmelctwyd55ah89wydJ5bRnOeZ9M0KSoqokuXLthsdY8MaRM9IzabjW7dujXb8WNjY/UHvYXoXLcMneeWofPcMnSeW0ZznefD9YhU0QBWERERsZTCiIiIiFiqQ4cRl8vFAw88gMvlsrqUdk/numXoPLcMneeWofPcMlrDeW4TA1hFRESk/erQPSMiIiJiPYURERERsZTCiIiIiFhKYUREREQs1aHDyDPPPEOvXr0IDw9n2LBhfPXVV1aX1GrNnDmTE044gZiYGJKTkznvvPPYuHFjjW1M0+TBBx+kS5cuREREMH78eH788cca27jdbm6++WY6depEVFQU55xzDrt27aqxTV5eHpdddhlxcXHExcVx2WWXkZ+f39w/Yqs0c+ZMDMPgtttuC67TeQ6N3bt3c+mll5KUlERkZCSDBw9m9erVwe91npvO6/Xyhz/8gV69ehEREUHv3r2ZMWMGfr8/uI3Oc+MsXryYs88+my5dumAYBnPnzq3xfUue14yMDM4++2yioqLo1KkTt9xyCxUVFQ37gcwO6o033jDDwsLM559/3ly/fr156623mlFRUeaOHTusLq1Vmjx5svnyyy+bP/zwg7lu3TrzrLPOMrt3724WFxcHt3n88cfNmJgY8+233za///57c8qUKWZaWppZWFgY3Gbq1Klm165dzQULFphr1qwxJ0yYYB5//PGm1+sNbnP66aebAwcONJcuXWouXbrUHDhwoPmLX/yiRX/e1mDlypVmz549zUGDBpm33nprcL3Oc9Pt37/f7NGjh3nllVeaK1asMLdt22Z+9tln5ubNm4Pb6Dw33SOPPGImJSWZH374oblt2zbzrbfeMqOjo81Zs2YFt9F5bpx58+aZ9913n/n222+bgPnuu+/W+L6lzqvX6zUHDhxoTpgwwVyzZo25YMECs0uXLuZNN93UoJ+nw4aRE0880Zw6dWqNdccee6x5zz33WFRR25KdnW0C5qJFi0zTNE2/32+mpqaajz/+eHCb8vJyMy4uznz22WdN0zTN/Px8MywszHzjjTeC2+zevdu02Wzm/PnzTdM0zfXr15uAuXz58uA2y5YtMwHzp59+aokfrVUoKioyjzrqKHPBggXmuHHjgmFE5zk07r77bvPkk0+u83ud59A466yzzKuvvrrGul/96lfmpZdeapqmznOoHBxGWvK8zps3z7TZbObu3buD27z++uumy+UyCwoK6v0zdMjLNBUVFaxevZpJkybVWD9p0iSWLl1qUVVtS0FBAQCJiYkAbNu2jaysrBrn1OVyMW7cuOA5Xb16NR6Pp8Y2Xbp0YeDAgcFtli1bRlxcHCNGjAhuc9JJJxEXF9eh/tvceOONnHXWWZx66qk11us8h8b777/P8OHDueCCC0hOTmbIkCE8//zzwe91nkPj5JNP5vPPP2fTpk0AfPvtt3z99deceeaZgM5zc2nJ87ps2TIGDhxIly5dgttMnjwZt9td47LnkbSJB+WFWk5ODj6fj5SUlBrrU1JSyMrKsqiqtsM0TaZNm8bJJ5/MwIEDAYLnrbZzumPHjuA2TqeThISEQ7ap2j8rK4vk5ORD2kxOTu4w/23eeOMN1qxZwzfffHPIdzrPobF161Zmz57NtGnTuPfee1m5ciW33HILLpeLyy+/XOc5RO6++24KCgo49thjsdvt+Hw+Hn30US666CJAf56bS0ue16ysrEPaSUhIwOl0Nujcd8gwUsUwjBqfTdM8ZJ0c6qabbuK7777j66+/PuS7xpzTg7epbfuO8t9m586d3HrrrXz66aeEh4fXuZ3Oc9P4/X6GDx/OY489BsCQIUP48ccfmT17NpdffnlwO53npnnzzTd59dVXmTNnDgMGDGDdunXcdtttdOnShSuuuCK4nc5z82ip8xqKc98hL9N06tQJu91+SGrLzs4+JOFJTTfffDPvv/8+X375Jd26dQuuT01NBTjsOU1NTaWiooK8vLzDbrN3795D2t23b1+H+G+zevVqsrOzGTZsGA6HA4fDwaJFi3jqqadwOBzBc6Dz3DRpaWn079+/xrp+/fqRkZEB6M9zqNx1113cc889XHjhhRx33HFcdtll3H777cycORPQeW4uLXleU1NTD2knLy8Pj8fToHPfIcOI0+lk2LBhLFiwoMb6BQsWMGrUKIuqat1M0+Smm27inXfe4YsvvqBXr141vu/Vqxepqak1zmlFRQWLFi0KntNhw4YRFhZWY5vMzEx++OGH4DYjR46koKCAlStXBrdZsWIFBQUFHeK/zcSJE/n+++9Zt25d8DV8+HAuueQS1q1bR+/evXWeQ2D06NGH3Jq+adMmevToAejPc6iUlpZis9X8NWO324O39uo8N4+WPK8jR47khx9+IDMzM7jNp59+isvlYtiwYfUvut5DXduZqlt7X3zxRXP9+vXmbbfdZkZFRZnbt2+3urRW6Xe/+50ZFxdnLly40MzMzAy+SktLg9s8/vjjZlxcnPnOO++Y33//vXnRRRfVeitZt27dzM8++8xcs2aNecopp9R6K9mgQYPMZcuWmcuWLTOPO+64dn2L3pFUv5vGNHWeQ2HlypWmw+EwH330UfPnn382X3vtNTMyMtJ89dVXg9voPDfdFVdcYXbt2jV4a+8777xjdurUyfz9738f3EbnuXGKiorMtWvXmmvXrjUB88knnzTXrl0bnJ6ipc5r1a29EydONNesWWN+9tlnZrdu3XRrb0M8/fTTZo8ePUyn02kOHTo0eJuqHAqo9fXyyy8Ht/H7/eYDDzxgpqammi6Xyxw7dqz5/fff1zhOWVmZedNNN5mJiYlmRESE+Ytf/MLMyMiosU1ubq55ySWXmDExMWZMTIx5ySWXmHl5eS3wU7ZOB4cRnefQ+OCDD8yBAweaLpfLPPbYY83nnnuuxvc6z01XWFho3nrrrWb37t3N8PBws3fv3uZ9991nut3u4DY6z43z5Zdf1vp38hVXXGGaZsue1x07dphnnXWWGRERYSYmJpo33XSTWV5e3qCfxzBN06x/P4qIiIhIaHXIMSMiIiLSeiiMiIiIiKUURkRERMRSCiMiIiJiKYURERERsZTCiIiIiFhKYUREREQspTAiIiIillIYEREREUspjIiIiIilFEZERETEUgojIiIiYqn/B+nueunquVyDAAAAAElFTkSuQmCC\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:43:26.300181</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"ma4fec78a01\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#ma4fec78a01\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.273255\" xlink:href=\"#ma4fec78a01\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2000 -->\n      <g transform=\"translate(98.548255 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.210658\" xlink:href=\"#ma4fec78a01\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4000 -->\n      <g transform=\"translate(163.485658 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.148061\" xlink:href=\"#ma4fec78a01\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6000 -->\n      <g transform=\"translate(228.423061 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.085464\" xlink:href=\"#ma4fec78a01\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8000 -->\n      <g transform=\"translate(293.360464 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.022866\" xlink:href=\"#ma4fec78a01\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10000 -->\n      <g transform=\"translate(355.116616 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"254.492188\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m467c3bd80b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m467c3bd80b\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m467c3bd80b\" y=\"212.561146\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 216.360365)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m467c3bd80b\" y=\"163.906293\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 167.705512)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m467c3bd80b\" y=\"115.251439\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 119.050658)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m467c3bd80b\" y=\"66.596586\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 70.395805)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m467c3bd80b\" y=\"17.941732\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 21.740951)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pd1f9fd7ee3)\" d=\"M 46.335852 236.888573 \nL 47.732006 236.999134 \nL 49.225567 237.343615 \nL 50.913939 237.964945 \nL 52.926999 238.951379 \nL 55.556963 240.505669 \nL 60.622081 243.824766 \nL 65.362511 246.809296 \nL 68.999006 248.83748 \nL 72.473157 250.522593 \nL 75.979777 251.976581 \nL 79.64874 253.255173 \nL 83.577453 254.385116 \nL 87.863321 255.382509 \nL 92.63622 256.261366 \nL 98.090962 257.034995 \nL 104.487297 257.710765 \nL 112.182379 258.291737 \nL 121.728177 258.780354 \nL 134.131221 259.181006 \nL 151.112352 259.492816 \nL 176.340533 259.715156 \nL 219.65378 259.846574 \nL 329.17071 259.892166 \nL 370.990398 259.893437 \nL 370.990398 259.893437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pd1f9fd7ee3)\" d=\"M 46.335852 42.269165 \nL 48.1541 65.262528 \nL 49.972347 85.509583 \nL 51.823063 103.668888 \nL 53.673779 119.689765 \nL 55.556963 134.097167 \nL 57.472617 147.062422 \nL 59.420739 158.740147 \nL 61.40133 169.268269 \nL 63.414389 178.768379 \nL 65.427449 187.218661 \nL 67.472977 194.868768 \nL 69.550974 201.795321 \nL 71.661439 208.065654 \nL 73.804374 213.7393 \nL 75.947308 218.796866 \nL 78.122711 223.373904 \nL 80.330583 227.510836 \nL 82.570923 231.244536 \nL 84.843732 234.608858 \nL 87.181479 237.675099 \nL 89.551694 240.422858 \nL 91.986846 242.911609 \nL 94.519405 245.183528 \nL 97.14937 247.243587 \nL 99.876741 249.099126 \nL 102.766455 250.794806 \nL 105.818513 252.326077 \nL 109.065383 253.705641 \nL 112.572003 254.952302 \nL 116.40331 256.074585 \nL 120.624241 257.074477 \nL 125.332203 257.956194 \nL 130.65707 258.722734 \nL 136.826123 259.380837 \nL 144.16405 259.933014 \nL 153.190349 260.380709 \nL 164.91155 260.727661 \nL 181.373181 260.976251 \nL 208.094923 261.132148 \nL 267.123022 261.204615 \nL 370.990398 261.215517 \nL 370.990398 261.215517 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pd1f9fd7ee3)\" d=\"M 46.335852 261.216 \nL 47.926819 241.285829 \nL 49.485316 224.465902 \nL 51.043814 210.012856 \nL 52.569843 197.892982 \nL 54.063403 187.759014 \nL 55.524495 179.317374 \nL 56.953118 172.319315 \nL 58.349272 166.553679 \nL 59.712957 161.840662 \nL 61.044174 158.026908 \nL 62.310453 155.049776 \nL 63.544264 152.700703 \nL 64.713137 150.93119 \nL 65.849542 149.59789 \nL 66.953478 148.636145 \nL 68.024945 147.989954 \nL 69.096412 147.602674 \nL 70.167879 147.452175 \nL 71.271815 147.52314 \nL 72.440688 147.825499 \nL 73.706968 148.390931 \nL 75.103122 149.270017 \nL 76.629151 150.50059 \nL 78.349992 152.179693 \nL 80.330583 154.433254 \nL 82.63586 157.405586 \nL 85.428169 161.387731 \nL 88.999726 166.894226 \nL 94.714217 176.174344 \nL 103.188548 189.877744 \nL 108.058854 197.314587 \nL 112.377191 203.511331 \nL 116.435779 208.953314 \nL 120.364492 213.852073 \nL 124.195798 218.276763 \nL 127.994636 222.325389 \nL 131.761006 226.016996 \nL 135.527375 229.401574 \nL 139.358682 232.5463 \nL 143.222457 235.431844 \nL 147.183639 238.112791 \nL 151.242227 240.590618 \nL 155.430689 242.885916 \nL 159.749026 244.998947 \nL 164.262176 246.958919 \nL 169.002606 248.772667 \nL 173.970318 250.434256 \nL 179.262716 251.967726 \nL 184.91227 253.370299 \nL 190.983917 254.645942 \nL 197.575063 255.800725 \nL 204.815584 256.839662 \nL 212.835353 257.761721 \nL 221.861652 258.571031 \nL 232.186699 259.268335 \nL 244.297525 259.856655 \nL 258.90844 260.335746 \nL 277.350663 260.707727 \nL 302.286626 260.974292 \nL 340.534756 261.138764 \nL 370.990398 261.18487 \nL 370.990398 261.18487 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pd1f9fd7ee3)\" d=\"M 46.335852 261.216 \nL 47.082632 261.107814 \nL 47.861881 260.764609 \nL 48.706067 260.146343 \nL 49.680129 259.139637 \nL 50.784064 257.652916 \nL 52.017875 255.601368 \nL 53.446498 252.773041 \nL 55.102402 248.971623 \nL 57.018055 243.98994 \nL 59.290864 237.431889 \nL 62.083172 228.660371 \nL 65.784604 216.248526 \nL 73.479687 189.431599 \nL 79.38899 169.289215 \nL 83.869671 154.792404 \nL 87.89579 142.50587 \nL 91.662159 131.713873 \nL 95.266185 122.050164 \nL 98.772805 113.276699 \nL 102.182019 105.335724 \nL 105.558764 98.028716 \nL 108.90304 91.32083 \nL 112.214847 85.174496 \nL 115.494186 79.551202 \nL 118.773525 74.363482 \nL 122.052864 69.58567 \nL 125.364672 65.150456 \nL 128.708948 61.042673 \nL 132.085693 57.246515 \nL 135.494906 53.745582 \nL 138.969057 50.494635 \nL 142.508146 47.485001 \nL 146.14464 44.683432 \nL 149.878541 42.086592 \nL 153.742317 39.670382 \nL 157.735967 37.434671 \nL 161.924429 35.346892 \nL 166.307704 33.413252 \nL 170.885791 31.637243 \nL 175.756096 29.988344 \nL 180.91862 28.476705 \nL 186.503236 27.07782 \nL 192.509946 25.80732 \nL 199.036155 24.658188 \nL 206.146801 23.633279 \nL 214.101632 22.71444 \nL 223.127931 21.902715 \nL 233.323104 21.212415 \nL 245.304055 20.627792 \nL 259.817564 20.14895 \nL 278.194849 19.775539 \nL 303.260687 19.506037 \nL 342.028316 19.339994 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_17\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_18\"/>\n    <g id=\"text_13\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_19\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_20\"/>\n    <g id=\"text_14\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_21\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_22\"/>\n    <g id=\"text_15\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_23\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_24\"/>\n    <g id=\"text_16\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd1f9fd7ee3\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     }
@@ -398,14 +398,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import scipy.io.savemet as savemat\n",
+    "import scipy.io\n",
     "\n",
-    "savemat(\"SEIR_fitRandomSample.mat\", {\"x\": results_test_np})"
+    "scipy.io.savemat(\"SEIR_fitRandomSample.mat\", {\"x\": results_test_np})"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/examples/ode/SEIR/SEIR_fitRandomSample.mat b/examples/ode/SEIR/SEIR_fitRandomSample.mat
new file mode 100644
index 0000000000000000000000000000000000000000..43c111985e13bf00b6633bf6e8a4e7661da8b3e1
GIT binary patch
literal 160184
zcmbSyi91zq)V6sZLxv=jD3ml?_o`HgqCpxp&l3&OTtbvkDb1-=qEVClN@?Pl=XsVf
zA{7ma-u+(J`~3r-<G$8f_qx}!k8}2Zp7rc=INQ#hVLRDy^e`(!XWO}!Yd36OV>oN`
z3a_=E+qc*lZuQ);VYh|hl<jL)c&%A&=;>i&=(@to(01oKL+cTSBSzYc5`L`=t*xv_
zi2Z;3h&wu~2xV5=B*bI{D<?qq|AvwNzgW#wOiW7f#f8W2|Cbl^nHd@UzX%ZUJ3WI3
z3s6qW;D;$0tSHK0<D?Ake3!w8-(+y=D?$4rgF~KYu>8{uwvEl;G50dK`E~}+yOF`Z
z5gEMcLI(FalfmAh8GQa|2Ji9BV4eL!yfcGOdt|WZx(rrWp22GtWU$Yy3|>4fgMUoS
z;5lP6*kf1*PdCZnmVO!R)F*>C%VqG)-gNHzp3X}?rE_3aI(y}(^PrS;K9`WrS+VJy
zdQ;%fr?WzEI?p~N=(eY`<(hPUH$R>GJEb!tod*s}=j;LLY^$EmdnM9&&-XN*Sf9oj
z1!-)Ql*ar_u(#4U^Gq7s`ls>19ck>pGL2nlr*Z4VG@damjd$s%@n(fIHvg5%Pa9HM
zE<cq`-=wno{ZvlAkjf4LseF2SD&Jk2$|sysdD56ver+V^lvCO8R|-qlrSS926doI&
z!bc)gI5IeeL%dViVR;JYIHs`K$P}KbpThRiDXiQs;+sVxR!kJ}l-nYnaYDp{cZoQ6
zsfeBJMSRIp#4j~PeE&}}Z~K_ca;eF@{b4dc3{U37eaU=dMKUjPNahBMWS-h5nRow8
zVxNj6Uh+1HRil#lTu>5sdL*%_YZ6<H6}Wy${Gs;)&-(a*pCo<Yw&)Msd;9}8d3@m8
zvp?{}Q6D(A?+5<<>pkn0zh})?@3|@BJ)iLr;+5}t@09oabkKWFk$%r{jqmu7=p7qJ
zzvF91-|_GD?|7KwJDxD)9S@a%$KRUY^0}0^tP}l~y#wF!qqT22)$T379`u$^Nxo&<
zk8e2p%^RkxZ#dw<8-BR>4L=|Mh9k7!@anEaR>)7}6S0Zh8Is83Hzo4YX^FhbB#|8@
z5?QVKHOIev&9>)X^F6QE{A<>09&GuV$H>2CvxZmP^X3&lz5I$@cE93u*H>&l{1tmD
zyyCMB34Hxc0-wB;z^l9yxZmsqer}$?<75&zqUI%kdhwEV!(Z}n&zEfO_>z?ezU0Ec
zFW9f>1#8E?;ILyaxO3$T;aq#cTeM#Ak@o-CU-Tbuy7nL2?D>zs&i;>24gHUGCI91~
z@_4R)63?c=@$9-fp4TIu*J;M{tk2JR;D_g2bLlw;?s(3+)1Py=@pJzBJC0p)<2X1v
zj-MTh<J5TqECpXGjzh|y@$ARXSmM|-zPjug4;k}}uPHrask*1^_TN)JbK)t#UGtR7
z=_%K#KjqS<C;a-=6FznN3A=81!jco8aHQrFwrY9I4-y}9zwpPrd*fsNF!3>qX+36(
zmPb4-@e#Y7dBk%zJmN_c9`OK;NBpHJmSYoQdF82CmRTFimuzC$SXHof4_PMuA+HL4
z$WN9(<gQT<h4=g+&#8RCTOK{&eMcVf{)G>Co8<#uDE@#)7v5*-nERZ%|2`j{b)PK<
z-RG>I_jpzMJ#LG*$D6m`;~Kkr?5KN>Z-2hae-iKV)YEs_Z|z-<AAgtYl<u-r%^mLd
z<PMt!++mA_ci7b84(t4jVX?dzuD%(=al2yJ-zkP2`^T_MM>M~D7tQO#qgi=<G~cm_
z=84MDoKbz7=RCg6IsUiVVg7A?KIAqV{*7YatSGL$7RA;(qS(hSic_?sSia>JPffVR
zdqQt<^zvJrXMKx*NZn%1;+t$4bCYfN-Q=0hH+jK;o9zDe2D`t%!Slm!u=BbbJaPOD
zwotsmT9uL9{UDOdeIhx2P9&ci6v=CUT<38q*IDM`b<W*%ozL@ic2~X5{cEpr`QvMR
z*8dvMoOg|-&8~6$@2k8a{VMBRxynf%SJ`vYRo3ovm0#6G@XBWqEFBoZQ41p2erN>O
z|GC14Gp}&}t5-OF>lL0e`3kpcTw%Y4%dGeOGCw+cnH?5g=1TL+yuIfV%VuBV%hxXP
zi0zj+dCDbTtaXVy8ZYvZ_>0^x=psK_e37SFUgYZD3%o1m0;@${;5$1mu$|onuI+n)
z4>q6Y{x8n+tK;W+>5}s-KKwl25<Ab+^Um@28|V1S&U5VOaE^cKoa5UqXL(`5Sym1`
z%O94V<pU$m@_5O!{IejO<D<fP|L$;}>=e$5`r%yMc7~%8&+zV3XV_)c88#h#h9zas
za9zo1PQG)R@9#g&=Uh(n5yR8G>suIa`4GnI&W7=t^@6n#Vx=(NRdtGw#Gc~wzNh%%
z+*6!B_!PJPI>~D3Cwcsplf2IJBww^W$$1(lS+(&5&yGLA=Yvjgz559sJ^Tb87eB#G
z`Jp^5DwH4Y4&{E+Lph{>C`)yO@ZonMEEOKYA?rd|-zJ0~DTVNi>R@hr6wGJ*gV}a|
zFn10K=KFt-^Oo%6JTme)i|stl`3}eVzTR;TX$xYnH$lAebP&&58^p862eGSC5W80&
z<IRtcvEPwne0{+&PBuTr-+Pa;Y2Hy@dFv?O+<lbWryu2s1CH|fZ-M+PDUg?62;`j2
zf$T6Tkdrk6*|{lzD_#Wf_Rs)UTN%J{qXT%gd;sfJ9^um1BYe&O2zxF#!uA$N*hK6I
zD;M~4&uxG1+UL(dX8QBLf&Q%i%a6@7{MhB1AMf?@;|J6HxK-beM||~VpCn%{x!}v=
zJbd~3WM9_M_T|vl!`$c1VZM6iFpt@An2Y!@AL?_MM>P5H=a)YG=%f!HTI0j>Y<zgE
zst-?2ImAP@AL4=fhuA9lAkW%*kp1-za{7k@Y~p!<PwO6F%@6xI#$!Lv*4@v_ANFyj
z$3A|eyN{oL*vs!c_j0Y?Ue-+B!;81=;W+(0Y?88@V|MIj+X1_|Eo~P+@ZQCK#=Ce+
zmN#$O>&*uTd-JWlom_ixCtI8E<nzT|tl{s)H>|vPTICLw2-?B9V|MVfy6ybn<aSQr
z?Offmjdjj%<F$6%IPKe3o^ov~=Q?lYoqs%ec#J3a&hz9tDNn9??7{8JJy=uKgJ-?k
z!jYS{u!7zeKAN(b^>=ONWRuMtP_T*J{WkG5>rL!byOCF&+{j@QH*#_N2DXmaz&D*Y
zutm>$PQSOFecadc45jrvEMXm+ZeGV@^w+U_##+9xe=UEuSj+P&*Kl#j8upy9h7G=~
z=DMq^IdRr%ek{J46CSVP%2lgaOKTOcPF~4ryH>Kpkd<6swt@qKSFq!R6+EzGIcr8P
zXZ^X$nPisp_V{J|X5%t8>A#F4vzPK1-=$nTYAN4rTEYh}F5#`tOL&ji62ADvo%7bZ
zv$38#AIn_Ka)%dl#HhtQqj?ecxx9$K%v{9vl8gB3^M$Onc_Gg>T*$Wy7O?uU1$>4V
z@bGW*`D4_4zQ1@rpHQ36$CBpprM>ewY4|*rZE)ii7u`62rW?CUyK&Epxg583E(Z>t
z%Udg4d0Ut(2TgP3m%VdX>e(D#vuO@j8O>qOlG&_tVm6oB&F05{XYq|Ev-sY|S)6G!
zi)Bh@@`95y`JKZ|p8C&)tKwYvq=ySH8tlTTa^^8-oq3vzGjEr1=4Y>Gu-dK}>^FP{
zt29sNN7ttF=7rOFVxQ@3p6<lM{hfF^JMp0(j-39`k%w<^<a@@BY+Esn+ry{vlbO@_
zr2I5K^4@_@A8_FR#yarNulDSG&z@hdwP#x+d#)+B<8x>2c<pREc2=_E8KSAY%6BS<
z@l-DRHHB@SPT|L%Q+TrZ6mDsp%y%Luv+vT$yj^cH?<=z9%VD-$=wi!*6>a&1XcDXW
zPvV$KlXy|jL>~BJB1`R>$UP$`vdY&9Jnq2+-n(f67nn_8`$p!R8_e5RFk1{@?yUef
zUj(--0842@SeuCto+hrIO}s#j_*0e*hlSX%>kJ!V4YT3?Y2$hDvGMFMZ9E^69naax
z<9KYqIDT$7j%P}b<K7QrImv%4-<&#@FG-E%J0Hdf>+2X+u^YpyrN?k?(rBI+Fq*&H
zkLKI5qj^WlD4u_86wh%Q#cLEt@yU#loEI{ZEoP47D{3QoaGo_MpSI?MZr1FqZOx-f
zN3iv!5j<_l2;Mnh1iz@Y;=VVn_}E%2)*NERajnC7>x1EJyKOiR88w{Eeh%Y_FNX1!
z1H<_7q+zToHH`g4maKBzl4D&gc|#vd9$#d^Mi(vEaH$24F}C1Ujpls&jyX$snzPqP
zbME;$l&>TV<++E4va$V8mQ@_ek~u@TZ}<?Nv}g$X3>d=2^=52$$BffF&3Nr-GuHiM
z${*jD^1A?2{%?jUC-*VsmXg72a&<6!uNll$=7V|3HxvFAZ^99WOnAAy36EDcVY7lk
zJnYgSc3L@z4-6T^$sGgPBz_=YIy8_?9R_lm%0Qw2H0C)G#yobdF^?Q(%yvJFc*|=e
zz8he~|6GiCqqY&ZRvWT!v>^}QX2{>h8*;jYA-_l;z=>xDaM_XptY|ub=X4nG!~YD}
z*w29P%rM|-eGT|;b$?Ed>CaI+`tv0gtZaW4<?3_qC4F{UtIzkW^m*W)ejJ<Bk6lmp
zW5vb&xYVQ{Cv@oXvzL1OK0uEfXY28R{(8KnS(kI4=(5uxT`qCb<$Zm1dDKT8mUy7U
z4SRIB(oTn4)pb~<N}KKPX!B`rZSI<^&6`!V`B!;gz7XA)XYTCFdXxKdw@P3BQm)0n
zqqSJuTZ^5hXmOaD7JsSK<P~={xoNj1``T-=wWcQjsMX-?hZ_9qfCeW{*We;u4Hj?i
z!?tmKINZMv_s;3V`;7Xqa)&xUd9BV{Lev@V>O8<)o%?pHu~Dj;u$NHdo$J*2)fhF_
zl~Lnkg{rK4OO>O%RM~Z^Dr;)0@~1i#&U>Q5*?uZq?W)3(gH)J0l{xT(GB=%3=EZB2
zxo)&FACysM%VH(&xUIy=yOlWBQHdYuDRE+}BG)G<vVN!{uV1FfA}d9<kx=9}`3k(~
zmIBM}Qee?E1-_)Gz`md5dH-v94mv5%cUQ`D^(c8BEGy4GrE=VUSB^ao%CY2ZIlePc
zj#vMX<q@f}tbSRRr95R>VX`a_)RJYFW*H8CDZ`baGHkn2hT}&IR$hoJq&YZNnw|Zn
z*=T_@%UMXXxR|ui4@j|jv=qDVm*T6lq_}I46fgNL$t9VRye3jom}4Y4Zn`AzHI(F8
zT@pM#O@c>Vm0(*h3103f!KVx)xZt}u4@nj0QxW2<=q1kQ9L0I`0C8^U6yvBgG2U}c
zjF)<gvD*y68jJC_j(?bb<sVWU|6%=)UYOtLMW0!{(C_Ji<DDK{oZkZ#=^osA{1?lX
z{{>V8B>cg$jel@c=MR)b-8i?i8+L=bp_Ts|a=yROf5dON)%?Q46Te_F@fXtDe<C>I
zCp=w#VrTCUTzT*VO-p~kRrLpI6T5I~YZq1;b-^vK6C3?HaeY)Lem8u_j&t9k>i8WQ
z-QRHMo`9v_kgoO(D(}By`_8ZUY5Emc$~v$*qysZ1b-?ZW7aWTEg0zKSFh=<c-oI(b
zR<CwUFl&cpMH_Ik4V$O7A>r3&Sl<7P*DF55v+rlvrnh3GPb=(3w_;aI3sSGPfZSS;
zsnCK$Z$4qR_a{uT_yo6)%?LQ(jAEB&Op|U#$;&1j-QI-xLz-Y;(}=m}8gbaA5n0lW
zuzA&hB(DZ|S~Or>eLV~>*TZyfJ)D*55%!@DKlayQ&*(bnwSPoe)JOcc>?7iIJ|Zu-
z7D~r!v1V#5Dtc<L?RgDMw$<S0&>A$=SEDPU8b%ANu}PyE`I%K%c(e*VldF)}Q;Dnb
zmAJB_67j<-@%2*$rroMQ!tx5Z=vSbpxEyJx%kgw(IbJH3qefH)WB)Q7o>YdOzoj_)
zUnypImtw%kQmA&6K>vOT>^GJm#Iyt*^~Km4Sq$an#Ypa7jLYRk2)$5*EAxwxqE!U7
zf<kzO6{2%iAx^3m!ZE7=1|bDdolyXN#RAx+<s;}=K3b>cW4&BH#8UF`G%yeT4temD
z&4afn7Z(C^QS6Y55pubRO3A_4V>zgE%)uRn90aFlBPci<H=MIktdfnvIaxS)Dhpb!
zS$L+Ig{?)Ius@%PF^e)`tDlK=RT+rBmI29C8Q5cz0r}>1JiU{SJzLVT&?+6S-_x)z
zE)8e*q@fyVm@Jlt#P_L~7nlm!>8Z$5NyYQL6vUlPLH42)NDN4UOPvT$Z;LQ$vj|yM
zA{_2YhRcg&j5;J>YBHSVlW{033F)VkV6`v_4-ArEU;hC=V?N-m=Lg&z{Q=khyvMV*
z?@<@{9z$K;BS`Z-B+B36^!0b(_3t1y{2j`>-Xc5UEz14gLTvh5aG$q0UHS&%*Wcji
z`ZqAOdV{K;iMXGbi10uGGX-Be5tY@iVG{isN4CC3&$!nJ5r2)*X|K>3_6q5XU*W}|
zS9sf&fa<seX!#^yrDFm_eG)LG;w6f2y@aplOW2Kni2;%?p_cgqI_F+s+=>_QG=G6t
zUH`%O&3}jp`VS-A{zLhI|8Th_9$wGlvC1bN>!-)Vzi&LA*FJ~%{pVP*`#DOcJjWW<
z=a4Ut!~3W>oY@|SeG}raM<EU&MbGd&@)>@5JcA28!%Nv`m{9N(#n+x9V9QfXw|R=e
zvQMF1@B{|epMX4`z=NJ3PVNabiyq_XjmJ>m_874f9%GHtV+=2Q1l8zAkn$Gn)JGWJ
z=Mh%d#Ny$DSg0O|h5z(esOZJwLGwebdj1fW0S}?%_7Gx&9zy>61DL*hfJLVsAaeNw
z^bUUj&wuyPm31E{Bkp6O$9+gnxQ`0u`$(<4hxGgRP<!AWlw9s%y1_kMZNCfI#Jli2
zaTl7)@8UnJyVx#%7ZdaD!0^T$^z{;~-5pHmdk0&aVh|S}1GS(S99SHKUW*u<?u`a=
zqVfBBG*Wj&<Gx)qZfQp&_S0=-zq}3c(A#iWejC@UZ$nx7HbRP{V00%6Df^?~J2MKi
zjH583>lRE>Zo%TxE!cb9!VcS8c&d2|a?Lm4`SK>3LvO-s<xOaexrrqCn+U4Bft8PL
z!1>4xI4!(^MV2>kK>P+C7e=BxCK7WGM&j+9NK7(~MBbn4@Xomo%Ujp+W6yQux?D%%
zKmot5Avg0Hx+1T^V)r%dbiRfh<7?nwSCNo;70x%VqGR_}+;X{!&4aGOt~&z5b0T0K
z6@l^lBd~Bz1cJ;WklA|$#)VgK^zIdi`CdWLf-5i?eg%2bS8%f8GL}8Lj7dS4VZGuq
z#*Dj+>8h8pt??3~UtPl2GnX)Z^CiShxdiKemyr1FB9^3Ggi_>1WbC<!E3+@+(2$G5
z`*9K8r5AAg(FHs@b^%Q*E?}6=1qAfDfG;iQvHtyee7kfW!CvPv*7-cXo18~t?>Ss9
zK8Itm=MZr09L}sfhsSgdwVLN(*nSqCqO-`lb`}%%p2cg|vv9FIi*}i_h^Pt2(ih<v
zb|xGu9^vS95MU(uf6ri8(HSg_JtJI4XVAX-44fyPL4xiXQ0Hl+Wu3<QnA7O%e;Nf#
zPviRd(>SPk8XLcaVQpF%w%rOtuumA`7Kh=>m@tg%6DBNYr|>i76g+O8Lg%4VIJWo{
zEXSTgZJ$%P*?tn<X(us1>LeU|Pr`obNzAo5iEVvP;>x!ZD9Jhj<GUxYFYpBFR-M4Y
zNheUHe*)WoheE3;6v>Z65pW_DZkt14?HCG!!J*KV425w`h_JSWVEM%mgzpML$=nbO
zwGKg$Y6yOP4#v*3V2DKr<HC_(*sco3&q={}X%LK%zsIqq>^R)xk7ME4<5=x=90%qc
z$4#r_C{;NQ{k9-%Ne@CsOc2H&4Z_p4L4aKl@&*RMTOtT%wa3t$cnr@Xj^X5iW7y+<
z3|r|Ky!4JC;P+A7DmjY0=SQJ*?kMJZAH^NFqfj1w6bCeq;?MU$1mp)|z>`2Eg#}{w
z_CSoE69`%BKzvjWMB3K?yvYr~`$qxDKNWzEZ2{1m6M)&)0SNCCfW~h}Fg5=O9zHn&
z(=$hK&+7;#xE(>|=p#7R_XsBc^oLxDKg#3%@#2C%qW1dZ>SBM~f<K=3_eW8$A0%r0
zVDr`wha&xu<L8HAYy5ED-Vdr~eh8EIgK?`bUT64X-2-3fpY%o5HecLx^+mvFUu@C#
z#q!^Wv8?<sHoiIx->Ziab@(ufRvktk`@>jdb{G#74nwug2m7;q(Dld%d(ZelahDIG
z7y4i}d>}Kx2g%|-FiAaxqR>N#n0p8Z^$x+i<{*wl9mKuO2hn1E5R-l%5Z0Ch7!hy)
znKKT+N8<pT%J#$J`hJ+K-;dG5_rv|iK3sgY4`2NEVeyQ8sM6Sn-Q{~R<i=ifY}|`1
z>%Dm2y$9Lv_TX#K9t?HegFXHBpt^217T?>AcCXzy$Gb64W;ZOdcR}a;F6gb;g^@#d
zVdZyk+)nU@M1VJT%=AXLjyKMI+zF?9JE7sd6JICpM1%ZJe98BMYJ?Z2uJ^(TYcF*C
z-GQ~D9r$)?2Tr^1fRpJC^!>ISzY@0NOW=0=nX?`G2HWBKX&bIS-3BqAZSbDH4dU9{
zaQ)*}%zLmEhI_Z-pWRk`SKo@im7dVM<0<q+o;W?(6JJz3vAo;^4YxgT$jbwkwjStE
z_JF8t3!dB-;I#!Qwp;L3WebK?Y=%$FW;A+l#`39~(XPH3C#yHX{{AMY?c0R*X`4{f
zcM}@xH$v>mMhrW=5nE?&6nd+T82)(!?!DLmKDGfL=WoEp!5gr)Yd!2ftjD<1>oH;F
zdMp^R9!JF1BRP8=^scVMVUKnA%j*!Nybk7-Yf*h~Eu!|Xh0lz&@X%ii&(CY%m#_wR
zg4dwleGRNE*Wg6YYKUj8MnJ@B7<jHm>O{d;Ta9_Ot1$lYDh%^mg)wtiVV21%9Qd&k
z38Ixyxv&!3H?G7d60Gt{C|9q*%h(mz=eq*Vb5~%*;1w|awH(9Kmc!}ta_sV0j<`w7
zA*-<*8yl9P`uQ@f30j68_hq;}d>K|rEW?PxrBI7r3h{kQA?30Zx<*Sev2zJ_iI(8a
z#U<$Hu>^s(OCYVa1ZSGvF*?B=O()!OXO%k+jdjNwMR&MYFUIO8i*Yb;F=7@kM#J#M
zu$EeklO>Dr@7^LDI=l#K^A_Rp&_!7DZy|;hEJSbgLew8vh_X2gQER#ozyB_Paoz$f
zzP$jq_Ah|goCVlqx&Tdo=VM3SeBn9H$EySLvCnlr9EZ$@*}r+vE}VzHcjsa7;d!v1
zKM&rP^AIOF53*%$SRd<#(f~IsTH=P*k!}c9a0A!QMep;u$PS&0*fn!;9di+>F&9r-
zTv71W719@6VYk&4;SR3oGH}J3A9GNjIR`s#&4K!XIY^v42L~+Xz)5NjOe<zX<LPXu
z2G54x>e(12T;)qOXXD)GS*ZRn3uCX$Ld4El&~%xF3xj82*uR;`E1roXu`}UtY$kM8
z&crX9nP}3OiH6TE_?F}Xm8&iozuN^nX1gF^s0%cuT(Gaw869!X@H*)X*^SPKnc|Fv
z{hguna|Rl7X5ihO8MyC115rz7;K8^VNa`~KEuW{Ozi2v^U7wDJ`=&!>-gNA<nvNd|
z)8W(L1f4fdczw|cJ9au@%q%C!nmeIU+6nnJj>vlHh?298!W`^~zRr$tGIK<*q$4V-
zroraLG(?3@!+>pqoiPn$HVsvh({Q5N0WL2cpm)vzo!cEy;o^Y2p$;gNaX{lodq^kR
zW5gwUY}#dy$FBB}wX(+sC3}=M+hJak9cr)JVb4K33|MT3ys>r&)3n3#uTw!;Q!()F
zROlR?ihgUR!hG^nOdBv2+y72MOz9M~#ZAG)GgA<;Z3+}-PJy4r6v!(~!R4mOK+<G<
zikyraK9jLwsSsl_^z|k~{+BHzi)^9r)E522Y{6S?vC+jAH!W<@q9DYdCgF-`66B*M
z!PkEhWLHhX1=~p&Yd8rXdne*T<wPt=m<Y>D6QQtoBEBz}h)-iDqP6ct{O+0n&B6(w
zrxW0DdIIimpMc-9Ct&u733#S90VW-c>)DJU4;imR8OuCa=wlg4mMqL2jK#thd0Zx7
zbRXy&0%&gm2005)-4a-?{J-00LPjP*^8sOfC_&^wu%1bX8BVZJBfRLa!Q5OMbU(7e
z-7p)h-(dr*xi*j*ZG(C(8)W|&kL2R<NQobhq6_2kW$$=sxR1va9*=_t<B{}l9JFi4
z!Ry^PRNfee*+<49XYDvFo;D6&hm1p*;y6rb8!PnYV-X)a76D;nvCL~Mrpy})>v3aY
zp*I#I{*Hld)fl+H83W(QF?ixX24B{W!5GIeIBGry4a#HS+%Xz&@<wCAv(XTp8;wPK
zN8^|KXk4E-8g9m;p&>mQ6-}cMn>Gq3?vKLmlcTVC$0%%?Hws?kN8zacC`A1miR_Of
zA(=c9wlO1x{pm<ldX5CSj>L^IBcY`?5@9{o(5<z`-4E7qh_*)Cace|)T4SNBH4MgD
zqg~G$DZL|b@8bwuN*;kTcShh`=m^~0J_0Z2jX;IX2*?c>feDf$aInb=Dd|?wkF^rk
zb}M|`ZH2i@tdL`Cg?WRm(5PSqpD)8Ps9-qq;)f&X%5co^9S)s!!_hu{I5Mq<BTj2L
zV!DSRs(Kjie;9^WF~d+CIt+hy48xFx!?1k9FkBxv44>tOVN$y#BJwRE{huYgBP{XN
z&k{Q~SVD59B`%J#1nF6#;hzOAG+1C>x&`__vOwEe3yAhx;Lb`5oSSBWkYN@G*0ex)
zw>fUtnB!ftIhyX7L+i9TX6!LX@G^50*_mUAg*lG&F-Oa<p;%Zw6uC)5G3VY;RD=zM
z=boWZTs{=B_CvAMawz(04n=YI5L~Yv0<V-InDuZ7MxPymfd_^N^Pqs~Lttz@1S55a
zz*%gFu;((v<t#JgJ~M;r6*J89H^Z$>X6Tt?hNU)UNHH=4$(tdr!xT0prVu5XV##e&
z{0TKhq_-*NEH#CKy(!WyO>suc6l;41!?s~C24xP0+Oxrsx-uBzM+QS?%V21_4aQI&
z3`di}*s44j*SbtlQfUI+WD~4>V1lP-O`vkf1Y6gcpnRqYT*jFo)zCz^cVL3juY-jC
zcn}oc55mK{gW!H<kTB;DLiU<L2zMETRbvNXyx|~d%MU{D*MVp&8;JV%15tNxAX>r)
z;`hOUP+LC`!)Fh~Jez?yGH@Uglm_BYmoX++8{<@pF`6G4!{L%K9{3xhzlSl-%r}OH
ztuZbRHO3H4W4!4x!m=hK$mAN~=?f!lylDipP$RVOGD5-%Bb=IU1dq{1a2;TTN%BS*
z_1zFwm4+B4GQ^}uhH$-P2#+I%IOS=GmkSNiHpLKwhZ$m>jv-<t3?bGw01Ju-;Q8AD
zFt|4W!Dk0R;_v_*+B5)C^9JDLqyZRYJ^+bY1F%wT0F+t{@Vd|dyWSXJ++72Roi#wV
zj{%}K8Nh#@0XEngV4j5moU{#KCt-kTZT&H)q(4@@?~nZt`s4D2{&?@-A74HDWAI{u
zx9^YJBl_c;et%4r>yInn_0e0UFYK@MQTR+B)356zC0HLbcI%^fl|DAi)Q1G=BXY1l
z9Q)|wXHP%e|I`l~3;SW%+kW_UuOCv+_rrDne(>4a4{P1~!F5_cIE?Ct$%g$fRjD7G
zf9YXKy&k-B^l&Oc56`0YP;*8PeGcnk`W8JLU#N#%J3Sa!>tVZro^a1m55s=y;%uER
zq;qt!FF_YSqjj-2To+Qlx;W#Z3-iUgNOjP~mQlLUG15hvvMzkPbzs}11DOIH<h{|s
zt@}DScu@yS19dRfO9vxX=wOhG4h%?unGQ^}bYLx^1N$%9SYDxx!>QVcj?+fb4Q(i#
z(#F(-+BmXF8yO3<p=YlRkCEC)G1SHo6>XgS(-%F>eX*^mFIwOC#imDn@in3^4hHvy
z`rf{{v#u|k-1?$pa$j7w>I)ZxzK~Jsi=^LL2x`)TTcH*Pzt=)ftQN{6w2&CAg_yls
zxUgOeC+2D4_*5-~SZg8NPzyIyv=IMS6ZtKg=q%AhKanP;J=4U#8=81}N)z7?X=0p*
zCj8trQQ)Kr^YNNEYO0A=Eltdo(!~338W>xvfk)XI81Y&I&+lnq$|VgH9@D^<-5O9_
zr-6rV8dxw@1F|DEkYJ>NU1}N__pc9n+xj4_q7N>o_kq`oKA02J2cysTfk9v&D0}yT
z#F{?%>ndQf;9Covk&sgpH2>5wyImbSD%Ei*LmeqE)$!+!I!0Yo$M$3Dh}*4>f9urY
zGG84x?A6gTS{+MF)bUPJ9hOq+!g;9%jXE`i=BYvTof^U)sln*F8XliigQJfc8a&ky
zxJ(VhW~!llf|@YTs=>}c4H7D9Na|5VNSi7aRjR@=Qx(#$RPphiDv~a%;(o9yF6~!E
z=w?*}xU0f{hAIM~iW3&9xU8>=hf1mt{Z&EzXBEg+s$h7g3fy0*AoRWplCP*hGE@b2
z2UQU4p@Pz-Dlng^0^f-$s2Z+<iH0h;rKSRPae@1)j9<0NLf@>6@9&hc`-w6nZYm?}
zj517*DC6x;Wh`H-45|6bxbL8h#p9HrGDI24y2|iVP=?(fB`AGXLP>=ZVltI*=(Q3S
zJye3tH6;u<r386jCH&g1gwLy#&@fjCb#_W<9HWGGQziV-QG&995(fQI#Kg~vSXQYB
z|13p3NK`~+tRmDS72$MR5l8(Mk+xHa*C}Gj0wM3H2q{v;QVT`A>aPeRRYe4eDdN{x
z1#GNSKy85nmLw~n>bU||#VDZdq5}2@D?sg_0-`+?V7Ed6O>-0wGF1WN#weiKQ~{TD
z72u|*0F54b6t>Iba*aIJ=gDK-2YD#R$)oAEJd!TRBl@^JP8^WOK2LdUULlVauJTxH
zCy#|=<>5X=9;^Dv!&6xvhyKao%vU+wuaiT1p&Z&pa?pAq2itpc*cKs&TPNjE<tvAN
zJLRxsog8i~6g1Q2z!T(f%1REOjOAdjC5PLxa!~4)h4*J!)K|%3ey%LC-pj%<P8O-r
zvT(j6i^33Dtn`t^_wBMcx<(ep3uN)eN#Ix(@>a5VYAlOYTC&iVlSOv7434+SU`CA$
z)bnLfmL!AQ@iN$RR|Yd9WH98E3}pRf(BdtF+zm2FaF@Z|nKFo&EQ7P7We{d2pr7EY
z2%NYK?sQ7yWs@{=%B1lrQyMaFrD6J18Z&N7W9LO_+z63Ip^r2ay`*8cP8xoTq><z-
z#J19K8ztmTrO~A)jp-`Vh!U5Ebe9y?H%lSATnaYXQiypc1^qZFoQ{!#$`vVuoRor^
zzZA~xl7jIjDLh&#g{gC-P;Ms$@9|R5vXnx+p_H({l7gI^6yp9!V*M9M7}QCkq(~BH
z(<HIrwGcm+MDs04#9fd?V2C8#4@+Y7PD%9HAc^npf_9c9-cFSi_DPb6u#iNUp``E`
zfFuIs1pJl2u?`8Gte3#05((VNkie@q63BllfwpJ~C|;3(<tYic9+ANQJrao7B7w3M
z5>TBd0S6}u_)U<&dus{Em`cF8p9IdUN}x$n0^@&)<HToie5w(LeW5sRr;0=AwK%*U
zi=!q=9J4No<NXP7*!YX%*=})++#=W&LOf64orL^EK{ry+n+bLOg?e>i92s#mcZ(tP
zix|e%i=n<m4B?q#aC|2Q@#kVlxGRQz*Tlf#Vvr0HL&iZdT-YIo4eJGNi5N8Jh~bO9
z7_vwVu~tH@iI{LNN(>uS#jr?9441zBqhl5S=wR|c+8g_i_Fw!*NBsX$xW_-bx8NV8
zP5wt;EdEhH?SJGV{*MA%dr4H-ODb=A$^A|*Jv!4%N{4#MV?!?$yY`a9gkE}O)=M@T
zz4W@Lha8)Gs4TCCw!i8j_2?do3+thk2YN_reGg^L>7h{Wp}A%~WTeqUT|Iv(yZJB0
z=KrO0um94Kn7_35%wO7h=r8Ts_?Hg3{iV=Jf9Zz#UrOxzmukiTl0w@b8ej5<Jm3GJ
zyAS?Q`-ML=_Q)R!-1>(q7YjLuKXlpp4@n#Rp`G%7sI{}3*41=VOL{l$c-~DCH@fM3
zXg7`8+f7Aly6MpDZW_kjRA<&rS2eq7g;+NY`TU!H7XPM<_rK}(!{2oD(r@w%{7p-C
z{HEE<e$({n0>%pdz~8h~^*3$%^NWI-eo;*RFUm^%MZfR<qM_%1(MtbcbZzS|s(1fI
z!yJFn!O_2{z~~oQsr;g_?w{1%_><P>|D=k<pEU2@Pbxb9liZK|q~>iuY46gX)Mxrn
ziXHot<_`Kvy=p({LC+6b-SUGBi+|9^_dn=P><`*~<p<3O`ay$t{UGVpKd5Ea4=Usz
zlsxnYz0&?cFQf$fwTqIfx+p)ri<;uQNIa^Gj81ovy-ycy+tNjmi@K=Pp^LOechP*~
zF1o7PMQwjOX;MokT`2CPUmrSY$>UBEUG1c?A)R!8Zzq|p@1z*FPO_TPNeNb+<YLfC
zjf$P*_xn2yZu(AH1>b4^yYFNb`<*^r`A*TtztiSD-)YRc?<DQ^oysPEr)O5*Dcs;Y
z?Nj<rYrDVE{N``uT=b0`KYSyn$KPo7wQsZ}^c#8Z|3(2Dzft6ZZ}h?b8?}!5Mmhrp
zjruq8{r8m;+rE-`#aD7n`$}iyztX3uuVfqkl_LBEe*0J2u>30(xd?gwN^i}-(gZ!h
z$_eq$4k~KspbZ5bB>ujGA|7?nq-!129NIzQ2Rg`Ma|iV<>Y$g79duw^2Te8YAho_7
zR4dg%@!!ADnU7y+XYLnT{N@YUKm0;tBfgMj$QLr(FJP14FA_LMAvaFYm<rmyLXGqn
zitlWv+PZd9&2Oj4@7ihaqjq|Jt(|_KXs1bs+9}whohp~K(@5ub3Pn4$o41o|zjk`1
z&`uWJZFKEZ8|jv|(Ycg1(u;4S$lGl+{9GHo4QQhU-fh&mrj5eg+KBAhsBu&qogLIh
z(>2>jTB?mceE&>=b)RWw{%6vE|C!n!f2O3!&vZTPGx_>{rghst)9jU>Y0{j}G-~o^
zvb6q8=Ej2UBg7H{|E-l~e{7|-d9CF0u9dDnZl(8;t<)OUN;-b6<g}xe4zFsZ1lLyj
zJEfIuN43)NL9JA(*-94Dt>oX;LNyI7WLwlix072){do)d+-{-Hb1k&_XbXMX-9no-
zw9wauEwtaMg%qiUu9~;dIQ<qXRBEAJJ)fw5`zK1N`b4|4Kas_oPt*|mi6XCmqSaxa
zXsF*O>e}&%KCJ#k=iNThR{KxnJoXa}Gy6oEx}T_5{u8xzH&ab(GnG^{Q$c1k6~1n!
zvWLx7f32CmooXg&zh=_+YNoMknrZ&LX4>b_OgG0hQ|^#vlI+(^<CU6eM^6(yZf~Nl
z>Lx;N6CHimL?us}$nsVb1)Oc7y1*u~+tWmMH#U)$dlUIPH_^`tP2^$KM4ybBXoE%*
zwMjM6&L52=(cDO<OB=~7y^-D~G}5vMjU;}pk#3)Aq}hIrB(}4Wo~&)8jSCvd#Ho=Q
zsF7kU8)@5sMq>3wQkHC_kDU$lvax~Amo(6xv<6z5&_E6k8ff&j1~Lt6p#J_1r0v}x
z%)^3RB*Zfs$ZSFbjkRhZC*uZMq1izDWg6(xuX=jjQcn#P^`w?vPZQtP)AlFz6mv`9
z&efAiP(5wfUr&!b>ZxaWJvqD9({;Og`aQOu+=kZEGyQtfRjsGP;`P+_y^fYN)=_Rr
z9XY1gQPQhAvWu;w)W|xT9bQKjfpxTLZyoh+uA}f}b!0WCj<ToL(e|-*q&u{ZKIqrc
z4%IpuEKx_5oge9Z(?^<D_K|clKT=iVM~Z&@k-Tqxq-p0rlELwh^z*<+D%kpwo~`;w
z7w3H>KgW->6(4E&@Q*at_#@5G60~vx{?yWp_F8hSt)-;}wX{W4OFl1Z>FoVlioI4#
zS*L5MBcPVF_SVvbEw!|1c`aRbt)(3MT9UJ=rKy&+<ZoC@B8^&7k*%eL-8FQ(t%iQr
z)X>a=8j2Cskj%>(TKAxaGOpLqsPG!PcC?1n_ScY~XAO0)tRb&?HT2C<uq@PB)sXL?
z8dBA%p{t5DH1c0HrG2ZWHI3CIRaQ+=nbkDoZ8dd0t)|H6YI40?O|mDeDbcT*_U@{t
z@tdmY&(dmoJExkC+gH;9n`#;|teSd^s;N+`nquXv=|oQzZTnh9^BbyYQfU=gW>!)E
zw^gM6tcv7fsz~xm6^Wk`>=7Z}Bk)^<{E8~FaI2z;j#cEwRpdFMih@n5=)P_h<tkUv
zZ}BP`^rMpIv{aIRRVDqGS4rQJD{0uvO4{<Ul45UE(vNeMG%2`}LVPNz(yNk2Y^bE8
zODgH(Y=O70r0X`7Bs08{JO)-$sdgnzQ>vsFVwE(!tAe6GRnVZS3c8V3K_;RKy8E(%
zM#Wapo0}Ch>p}(9g;dZU-wM*$RY9?v1a5f+eV<!F7ac2T>VyjVYF$CsO)JPvzk-z1
zD=1mIg8aJ6Y3i49lB+ML?2>Z2kXcUa-j&n1=jEhyubk?xmD8*6a=H{$PWum)({itJ
za@bH#BbJtvfonObPAex#;lEM3N0d|N;BxxfPk>rEbxD`g-|jM!=_n(OhB6vhRz_p8
z%V@@jGFtmz8TmaZqZ>EMDEWLDeGVxjEx$6d-Cagox0F%j$}%dMUq<TAW#l}$jDp9O
zQI>@;j&T_+)-Izcr84RiFC)93rF7wQDRtDAl2dUh-OeZ_*>|P1@p&ob+$*K=k)?F&
zTq$XWlv03iDgD`1N?uz8{mN4ETp(CyA)X@e<4Wnsuu|$XsFWggOKG%fDWyx5((3LK
z66+|Ts|_V&TV6tqIVBXDTted$N~q~k37x-PLNl(EkmTtSdUdpf_8u%D8?O@jyP<^M
zE-Rs9ZY4B#dI=fZmeBVxB_y&ap$Ov=+O1PUZYm`-N~(nVb{Es1FU3^XP)u3n#gvd+
zO!q~_bnR6!oqbYFCt`}}_|;+x3NNPM<HdC9a50_VRZNjvis|91VoF?COnEblsmZRG
z{!uaMSr^kdvtn9kP)z$Z1)V}MrHd8Q&mToJxUGoh*A>z6(jt17T||GAifCLy5$$?h
zME^w>QEx;M*@qX=$>T*-dANuycNftik0L5qT|^d(izsk*5!E{s3FlG~-5ym$%H~D1
z)2N7Qw2R0^rHEcj714-4g>?ICAq{9Qq>ELBq*GW(7t#w!|6L(P#ut+L!$OL?RY+4W
z7gAwZA+0}FNWF&&>6~{VS#K$%oK=Oibx|Q{%r2z=913a0ghEmhzPS9typT2;7gB%S
zLdsJuq#&6>vg;`ziOvFg*HS=7Y75Azq=5Ql7f?k~0mUQ~(C#M!cc*{`TrUu=y8_Ay
zEuecx3h4O$0@|{pfM#zjpm8e-$Y?<UDbFmRKXwK583j~5vVaPQ7Eq>90j1~^P_n83
znF31f$)~K&d@5?qr<#xX)K;2Le{=FlB_*GX6Z2_&Tt3aYpHCh)^C|dJKHU$?r<`N?
z^us5g40h*}qh~&Oug#~ZCHYh`H=mSd<kOTX`Ly3ApW;UdI<tHlYnV@awe#tXN<PWS
z2;=qS(bdj8YH!V>Np*R2rYw(IbMt6ws=&X=qn_t^wB%tPy@|>rlZZSD3D2XS!FjaG
zKacYE<<XQKdGvf^9$Bu;qgxB}$Z&QZU740g`jhe~Vr(8656`2R!FgnDkVmhy@@Tqp
z9+gYw(U!lt!fTsL7g}@4x-OTp%5rIQUM?x6<<i5qxit5`T>2B6OShtPg}yYG{+-LE
z*b}+5DlnIH4&_pgcP<5a<dXf`T#{OvOG$3IbksSQob7T+i*u=ZR4(1M$fdo5a%sAL
zE*WU%(s#vNN|zMI{F6h6zvs}h)*Rt)&Y^+jIV6{#LtoNzsPtV9CB4X@Cy#UJ#+@8G
z8<|7LFXoVMSPtzA%AsApIka=HfbD|6QQ%ezxkZ9zj-YiCY9{B<W1AfMV4XuHLvyIz
zIEQ5V<&dF94zXemxl88Ifj`-F?Rz#QwPsUWT{dY~WYd&_Y}%HQP1iqUQ+`4=$vw-a
ziTAT<_pNMtawVHO!n0|3Xf|yP$fl<Uv#HxVn<jf^Q}DWMDp{6IgBN6z_pEG6ot8}o
zw%N3Ed^Tl`$fhAfvnjwhn;P`8$zCIyVidDURVtfy{mr7<&Mb0n%c7SJS!7<7MOTWl
zNIg4?0!3N$FENYu#Ai`gY!-RN2=;mw?Y@{rJz-hoe>{tn{j=!&{wy-tnMF^xWRcz4
zEGk)=MO)@)k<=_<tZ7*^&Nhn*#|!n=S)^s2Mezf(Xo-FnNo!@%L**=5ER#j@|1#;n
zpP96&Ba;Sv%A~^DObRK>B!~P=k`z9md;1}i4!_EzDRG%3`!JI-Z)Z~YwM<%eA(PC*
zGU<0vCZ+mi(#8Fmv}I=|P4>tn-F2DtZJD55kV$uDXVNjJOxidllbn%B)}w{|uuPIL
z&7`&gnN+4D)T?LG3x!O&FPTY^e>3PpR|bW(XHalc1|6-*pny^Vd4iuVa36%+s|>mr
zmq9llW>9Q&2ED$XL0K0wsQPpUeGASY*?<f(IFvzScW2O?Z5iabF@r)^Wza+S49a!O
zpe~mT>NhQerr2iC78~JsBQu1#JA;0jWRTf_3|g#{K_}G(P9cNDq%w$l(rNdPbc*|u
zPCuH{Y23$j+Fzbd?+VgMAuF9+Md=jrCY@UUODCHr>2&;FI#u0DC+n-}bo6{W)tnOe
z<LPwPKb<-c2>M;=^mJ=FX>Sz9S(Q$8?&&mrUOGLSnNCKI>2zXpx-i$L)7H^KZdf`k
zFiWRwqjYlUmridr(}`8m>7{Hsk$5^Kbf?k8&NTYamPXT?(kQ<sjh2+9(Wm@0+Lf6`
zGNLp(_a=>ozDT3QCu!t%KaJX=(kSp+8V$UdMsH51(Xx;<5(`YD8$M~|uvf_MNTcvA
z!no_wsAaiOzbK9D=cdsQ=QN6TNF#UKH0ncXlsYPne21kGo2AijqcnQnPdKJl8jV*?
zqrY-#^j0E`j{Z%hSwB)quOpQjKc&)>x>WM5OeNRiR5Hm;rQd0(l>H%<qF$%cq4-o<
z^f;Bq+)E|Rs8s5_no5NiQYrp)DqRUlCBMK_+H^RT-1eo?q@Af`>6uFU8&XMWRVwwm
zr_#51snj$pm8zUlsc32{<xEJWjB%-yYMn|c7J?m|O6i8e@$^!uKr@xfRZ^*5E|uCP
zQmOlI3d#LUA?>dzWY(HOHVrA{Qk_DpOH*iHehQt*OrZy&6iR!WLd`EzNH$K;#ij`B
zPl~V}2>FN<dU-yD>cdh<B}AwXOrdp$Q|Roz6cX)Bq2Hb<WVtbgR<2H=3rkZdcR>m%
zx~7nWa|-!8q|kfY6p};=*^Nn|qgE-DIW&bdOj2m^fE2o^n?heSQV1$36eO2IWfCc5
z-Xo%eKSh-HRYYc=MRcf9L?tyMvMv`<XrYK&vqj{TCZanZM5L4`BG3OsRPaPZHV;HX
zPc0(F8zS<)BBGDyL^LZ*M2W#7vI-P(hegzPzle@|i%4Rdi1uz03HxiIez}M~FA~v4
zHxaeW6wxLp5w%Yh(e{ZV`ZZoS{wNX24Hr?^5D^&+646});aIvNO4AULyNZau$ce~L
zQbfAF$rSr5nH;|-Q(ap!9coS{{kmj&S(!|WOOmN4FPW}oCezfEWNLYrOs8HYlTCaw
z)jv+AllPN}qm!vMGMO%2Nv0X+lj&brGCc`NrVU4v$<QyEN)9Ab*zRO<-jPfS9?6ul
zKA8enCDXK}|3lGThDWh<YZ%7e-Q9vqknlnpcXti$@Zs*dafgk&J0m?VQQX}fHtufc
zIX~_z$xK((s#U9MI+NjopF76sZ0k6!XcnhV4dYax4t<5k$qb9rjL<kWFB7Lc#pCp*
zP@IB!xh_YX`ekO!baBd*GET1($LUzSIBokGtEpdN)%AU>s=bO;?q{+3`yf`2ZpZ5Q
zwOAdx7^~H1xaN4Q21LiItv^<^T(K%=i&g%^vC6P7R*84U>igzcy;&ElC#zz0XKAdi
zE{N5IIk7r3Jys_t#p=XZjNtnrJl3D*dT~tz*LI{$8`?Ifk4E%Wk3MVCcQwYS%vj|a
zvlL?&i`A5ZvApLL%kMC;ipvzM`)OnKD@ClbCy7<%__1pLD@NnK#%SG#82Mkv=+S>M
zO8z)TW$(qP<INb&yb_~B=VNs16ptT^QI)6|4e-Tiy)#B<tuab)n8)_TXz0!u?cNfj
z`|D$r^WPY?Uml~Ci(+(XZj3U{icy=XF<Lz#MmI;tDDUtX^%)$a1N~z3xo3=wh#1Z9
z7^ACgVpOO_j7Bz&QFOf+WvUgUe$`{-sS=}fp)u-Ph8T;-C~J`z4bLB=)45_4k}XF6
zWQ@_%G%>1|B1U@>$0%id;`tS=%U`2a^<%WQy@^)J7ttF1BwF|HN2}@WXnC$htN5j8
ztvkzeC!;kbHd-Ho(dy@o)*VN*+E}A?=1{ci?~7K{&S-^irOgKVTN5q!ifCy`w0!fU
zRbx)HVy8!|@#JV-92c!lqoVa_Xte$}C|W=IM(dxR(aIbVtsNbs71}mhaV?_Nu}QRE
z*N@hW+R@5pMC)+XXf>!5t%v2JHMvx@vWG;=EJO_XqV*|fv{q$}R^^P*x|xPJQ$(v^
zl4zZbAFUC;qm=V|lwv<cY1q3c<$4vR6VIYF?opJA-HXzVn^9VDHA>+Zqx9iSly;wp
zQbcT&vP4GdoHt7IoKdP{i&DHJQS$AN(xlx{s<u5!zc)oGur5k7R!6Dc@+hTT9Hk5M
zqO^8)lzL8&Qpw3t`Z_L3(W9cYbQpaOj#8=qwChE`-J-OubCkxkk5c2-QOe&uO5Ykq
z@m@ld_STBh%y6!+8YNYVQugvZS1L-^L!#s=9HsU7qckNqV`Ps~{mk^4K1!KVNAX$`
zrKgFAAs%u5iqyVuky`U9QvbY*)Yw;%>i=J)Iz5h5)BBOCc{@^-u1Bim<wzAeAF14@
zBbD`dq%y=r@}7RAQhFnm+!?84HXPym13b2e=XP+-7Oveun>DmuNgqoiRdHdYjJc6&
zJS$QirbVjnq)3e(7pd8!BDH#0r1lJsl&62B&h?Je<L;6A(IrypJ4Py`ZKP_oj8vDV
z#Mm%WE9yq-NX<x{tsbe@VUbE*DN?1&N2*2XNR2EWseg+^%3B~(5AzUH&PbKZ%A7Jr
zYF64v9ZngkTS<vG5p#<dsXo7gTJ<fcxKBZSdlyuR*FklA9@NSwL7jXMRQ$U^h20El
z#MPh<Tny^j*`NxZ3ab0Dpf*JZbte#1Zf{T#&Y-r~f_ii$sG<jh8oW0s%g&&_Zw;#E
zrl97p3+nRfpz^K=YS5CPoC|_VGB>EUvx3?=EvPS(f@&~6sP&_RdOJL*I{yo5-N2yU
z_YJCHub{Sd3+h+rpxSq!-!?&|X-Pj#gF4YLsABbknp-QV=ixy$R#1m32bCc-sIg^<
zuOxki5PRXEG8YJHYM!88<Or%=)}W#@230m4^GFp`>f}L9P8`&m_{{B3K$m_5RR3#0
z-j4y5e;3f+R{`aJ9?-fc0cCm^(BiuRCBGHW>}vrfxE#>5^8x)m9njPh0mX|8Xhu{(
zi30)6^8}Q}8PEz_K-rH5wB=wx#r6esbXP#y9#GuofLd(`=-!%uhO7$c*Rp^XEDk8=
zf`AVE6Hxf9fG$i6sL$kpevA)j>6n0ujtnR;G@$l_1A5m#p!t0QD%>-m$cTU<I@3q{
zfY!GOsA|iAZZ-{QVxxd^*AFOIJD}b*h`V|~hr<GDS1F+1<pbJTCZJ{|1Nv4hpzVbN
zYF>ao@&vRmXFwgY1(Y;%K#ueQ^-mK}j+6nNNgB}fL;+QdAJB{6er@^TSNpGirTygB
z@ppdBc<ooU7k+(x>gOKKuVMH7Dt*V#@4$W?yz1AGOZ<G^uXm?;{)As+<G4QBulPZ~
zj(PoB?DDIf=~rH>U(XNwWjo;4)V+Q+-sM-e?S4Jo?3aCmU$fWx)poUCMOOIrZHZr}
z7W%b$o?j#9_|;&hUwNka^?8zCXU6-rYYcsi^sD1Aze0!jm2M#M^rcNNzxH<b^S+v2
z{X6;9u)SX;+W3{aCGj=&>vAJM?=8@89mcEa*Whr!+Q_f!Rs1Si(XaI7{rXkfum4K;
zb)}eJ(S`l86!2?nUcZ**A{W{H8kNPbz8M)ionK8;`&BE2UsaNlgG7E6j_+6QKR#vo
z=~KFIKBf5VQ{oRk#eeJ5pO-%U`p>5yPkj3R5cl~0wogBA`1Jd#Pw_7Ml<0y_$<O+f
z=9EvFj{B4|)~A9|K9vag6zcUU+~re4)5mL&Pu-9BG~}R96ZiQvf45I-clfk-t55Dt
zKAm3g)7>>by<f%nD}2ha)Tc6we5yO&r!N2aG-{Sl3#a?EbBa%ai9X#N=hNrWKBXV&
zQ|VzoH5ua5z=1x^>qnoxeLC60r<V~vrS9TW*^Z3g&Zlv$ecIT<r|70Wy=X++20n$=
z^{Hnq`ZjzrtNHXGj5d{hsv7E3zj8jUD(zED37<X|V_rq*r=U-B^7-V<P5(K3%A1YH
zGBa)l;!5k&msCELO5szVq&{s*<kR)|K4tjpRnuQy&HL_E>=!TZRd`k7y;oD;c;$cT
z)t~>oGM;)h?U7ee_q|Gd*Q<uNyjpbKtBY5>%67@Ci1S|UJmb~tlU`LiPTN?oPDFW?
zDd<%<pI7_cUVU?TRoCv-3X4|{4|`SqpjR{Yd39;GSA}<aHFld<CpUYQXQNjm)_Ha8
zU$1hn@@nLA9$(^Bfkj^4m+<QHKVFrdO}sO_dOVd_CwsMVf>%GrdevdHSB?>0Wf|tx
zm?2(W8|YP){$8!?<JIq;UUl#8RZLf}LOOf3xPw=p+IrQwHS=oWRq<xT*4V3G4ZP}G
z&#Mcyy{cBzt3BafWv)i7VP3tf#C$@%yx-tecp0w_m-H%Maj%vaB`<}&8dt!pS9!ha
zk=v`QIlO9;&8z6lUjBydl_i~5CDM4cBPDZ8?$z2P<R_6=OXGW$`maaxe|ePbhe!W>
z^(e__kLG;f>pOma?NRcV9xeFKqcl%FTK>qREDt<df7he@w>{c@!=uvIJTfnPxc~6z
z*g20{obl-9Nssy*_vl@$N0XxIBhsVQevb-yJ+itys^#$LqRpe87LPt2_GtD&kFxIf
zXx|?C*~N3)J?gjBqhFgCbAv}A>pTkn>rsbQ9=%^qyi4h8u}A&|9(A1O(dRiHEt^Fw
zGdwyq)uREEna@Px8|P8|F&_Ol(xZ99Jt{HOqcej&8aB|QO#MA__VK7|FOL%R@Muqj
zN6ou<^rfRmo7#I+udPRKTY0p$g-5lUdGw|+-#7HAZhenF)bVI@EsvVk@aSiC;+999
z!aPb**&|P=M}y0Il&7pm7fN|FtAs~YLOgm^#G|c+Jp3)%qty94iplNK#GD>g$nMe0
zEFSI1<WWQhkFurn=u&Er7N_*6QF4!xCgs{h9?eMLQH^*W{r&Bh|EF71zPn|7bt~Ry
zx1v6{HS3*Q_20Oa@|9cXp1Za3nOhy7xRv*jTTkx0b>OaBqi(xZ?WS9aue){jid$<g
zxz+Q6Tcysq_5HM4u_xVHe%!5YaXc2|*3U?{P6pgs>vL;>$E~U^`ggc>$L7{yi(4~}
zxYhQMTOkMB`m@)~esc3SHMgd2cdOl2`q<1^8@Ya+Tjm<KmacYd;7YgZE_W;6Qn!9B
za_jm6x9sy6_aC>0&33EVOxjI%EA>>jUQZ&<35+$)tz~1}8aax7N4OO>%&px2b1VK}
zx1J7g>vTW2EPaTxms`_%xYfU#TP?bBU1zrnbaX3Kd$+!{aqB@Vu5IC#vzc2vn$Tw>
zVr}5oka}))spD4TT5hR^TP4EXe2SA8s=D>JvRm&fy7jn%Ti43Db*hY8fl_YSN-)<D
zw>B4bYjt6_78P`Bc7C@e=XGmLZnuW!Bxl*(>Xp^4h|H`-Msk(jt(Iw-V`|1q=~lz!
ztXWdG>Ln&82@xNEU8?unrTRZzYWUry#$R1(_SvPDA6;tu-ldLjU5a?^Qm>aT4S4R-
z&}S}<dE(OKM=st!cWKc*msa0#Y4a_Y_TF&Gdd(&O6_-w2a_PzimmZvR>CG9Jex7nE
z`AHY|%`O#*bE#sCOLe0dBj{3Jze{7iF3oeh_#M!tL#9iSHriWUdVa*EKZjh(c+jPg
z{Vo}MU23=6r6D^Rf4fT?x4L9*cIn(ku3hg^!gVg?S>saJYWiO3((vUjEne!<{>8+!
z(4}YdT}m>~rNaL({%n`}%yenabeDEdb?NwImtIVCDb)m*%8YZV)fnbF%B6K9TnY?x
z>GA(uN-@NxvV&Y|Kft9a{ao7B$ECBqT>9F>rF`98Y82tps4gyT>cn^*T>8|G$J@Hp
zq_s=qTXKDKmo7JTDM1sL$~AJSdjpr2)^jOX$EEkRT>Ra~rPc;>tL~CR#1rOH?kcQD
zB_0cP$z9&1w`GaHj7yzMxwO0l<Ak^rub4|!inuha5bIFDrHA=k%9WQ~<#uUVPM1z+
zcPUvmm+EA3X<8<id>LH&k&ZTLnPX~~>?w&gxl5tRh(C!-wnQ#{PT*3d_%4n6>y-Pq
zQ@?*YRpW<Kv%WcX{EJhmK0B!sr&hmr>h@cw3cPV@z$>SYym0E<e_Z>_sku*_y70)U
z91or9ec!1=cb)ov+o?LYoLX|jsaw~aDtgtaQJ0;Hyy#Tg3r=-C=hXf)PW?FL<nt&_
ztv&A4^Ejuf#yYhi+NnE{PL&BdHQn#jWiRbLPEB+<b<W{bLDQ*mHmA;5`2MI<;}1J^
z{vg*JaB9jvr>^dCs`PHB{@Ll&{q6L*&8d}JoO-i~u{JujW4%-H);ZN>jZ?1GPGwo;
z)W{XgVHsmCb!zcqr(Q2~s>uSU4$LD5bDbJ8$EmZkcz&jnzqL8_ajH}8rqF(pQ@JM+
z=Xj@{jCHEf7^e=8aw_vk;vMePgP~3}_#clAb}H*2r=|{Y>RCUhTJ)uDZ{qLe)S@0v
zeeLE{&j{w!#mO1t<Zm)grSHIe+Bx;IjZ+<4J9Vt3Qx#hfe>0~tHg#%dW8!G&RIdi)
zsGd`G>pJDA?NmrDr`FeSDvd#0)t&k*)~qTyt>RRx%Jfswsp_FlS<7>6Ij6RiA-2-2
zRY|9kmLSFu*0!iq!;3ieq7Z9Z(5bumi6I~3<Z-HbZl_M=bgF(1r(&`>RWqwo{>)DP
zQ4Teff%wxq<xJ~T<ut^Timxg8n%t=>$(VBzr<B+!UqYvh1WrZ8BksQr9sli6lV1*<
z|KU*E?+)Gk>QJ{Y4n6tg(4dbFy?^h}xOWcyedFLB!lAUU9QyZ#L;0RNwD*}q<)1p_
zee6)ZM-E+h;82(Q4n4c;(8xQqx#iG;n+|2W;n2=&4pq47P~>F?pY3tz?gfX2oOkHg
zS%(&$aVXbmhYp-{sQL+q&K`59dz?cbVjP+k?NHVzhxP?|F2EQ*hx&LO`tEk{JB&jG
zo$O?jKJCP8b!d{sp^Qhl{;)%}4l$nt4vpCFP|AG{?bt&fyB)f=)1l!z97?s_q1{`#
zZVT~ja%jRvhq7#N$hywK-|roI{V(yab|_?(L&sJ))OWc<iI>sO5{K$6cIfd!;#=V0
zGbawk&2^~%KMtjs!#rjY&rIT<?$D}f4uws1=+0z^rcZLH$V7)ujdy6+IK~=F?nXP*
zbCg5LM>=$5xI^uSk+=U5*AV&`?9jJ?4s9LaP^111ed_Dbralfe=<U$Qo_ycKp@!WZ
z`W(SET^(xL#i1XaXxq`DHXR&F(4IcqIuy~yq13Gzt0imN!l9haiJ_@O6Pq|xvN5qW
zB$o{ws!^Yq>oUJO#8I2M)N;sIgIpQRG2EdW)wqt6vvyVDs^Z{10Ec>4awtbd)}?|&
zbIUtqlym578HWy+cBo$|>ZBy?iaU6pnK~=xP?Dk!1q(BFA%`jzq`vYybTFSo1M)IP
z9)}+0a%gi->L>^OW_Rd%R)<z+VLq8z*Gvvw%;3<n^bWO5=TQ2zjGLOiQ#sT+r9+ug
zICM3cLu-;c)G3KWxf45dKcPe06A(*$hf2hA=<Od<*59Va{W4Ykr>O)#OdbDbYVlW7
zZN8Yw`PtONkEZs1F!?-+sjzn@zbBeH@!Hh#SEf3@G*#$@sW<<bay~OP<Eg2pPfTTd
zZ0gZNQ->dznt0z-{d=Y|-ZgdqwyA@+Oij3Hs=*CYS+1LUe3clk(Dt&amX}QByJ+g&
zc~il2rk0*H)#Hq*@~2HDJZ0+22~)d|n;L)2RO2{Pd16hyk2Vz(Wok{Nslh>0H3FtG
z`%S&@nhJPKt#q3j=;CoF<2g*dwsXDB)OxF_5f)R8j+!cP#MF;NrY;>cb>M)h+51g(
z+sAzO689e3>>@8aO>N&{YRYy~owk{(wAJK2H|D;{)Txc8_H3ZtdQ-jDnX0+gRNghF
zey=uldzC5AN>l4rFz@BGU1qB4Qd2pWnEJVh=NFptEikotzNzW+Xg}9f-G59Kn`0{F
zZ2F&R>f#Jj=5+d)#`sgYW(xV6Y^u~GVwh;^+jvuV$1$(5ruL6vZAO!$QKq_&<hl{2
z$_{5uhOu@-$;%MtIoOnUkf~h*$?*W<>TjxdKU2;75?dcrg?pPy-;4Nrn0nrwymvDd
z6~TITHMOCOsd=4EjqPNrPe)U&JD94~-c-4EtX*4EY1^3k+sf42mZt8tFm<juYuU`y
z(Wa)hH8J^pkUTY_eM3_N8kp)*pK<HaM_p4D>zE3uZ7O#y#;<8AaShfboW814C)G^d
z5dBp(6&prQtC+G>rZy{?+EUTfzoDj<R50~Vc~eu%(SKP}!^$v5X;VE*QL80QwJpI|
z#Z5H~F;%;msqmt#aS>CYg-w+yWU53#Q$-7yDwv=3%V%<5V=8+d>LxdJkc*gdGQS+A
zQfD`nDjVyQ)l`ZsrjlnyCS*hgr04N;JfD{9(r|rh+NGj>O8QAbeI{o;lCi&%Qo~71
z<xfn`6EXLMtZ4#r8K3%!XG(wVs`1CpXG!d8{L8MEKkaJ&!>+F1?dtW-u7O|e8vezu
zai8s)`pK?;KH9b9gI)i=w`=n|yY{@b>*yQ1+^_A5er4C0mv&uyVb_D_cD?-1t}oB*
zijP!J?aKPZu7Z#4D)Y!LJ+!O-1H0PXx2wlJyZ(3Au8DW-d={O)Z`rl;rd`$>c12#d
z>-;sl?p?L(%@w<TU$!eXa$mBm)J40hU$Cp$dAquuvuoH{yQZJ9YsG2WpR&tw(ykLH
z?7DTFw#SGAnd0m!8q4@Gb~TS?j!|}vjkIfF(5|fkyG*}br+jwZ_Y%8@xKY4uR}~l6
zJMHT0uxqku*Gjux2W)o5SnaxPvFp=Ou0`P^c7-1%hlhygpk4D1*tKK7UH*M`UEgch
z$31qXLC9{q>g*!!oy>a&bKcH;x7l@Wt6i_Q*p(bbHrrKulU?06+BIc^T^rVu=XLb6
z)~>H>?8<_Q|B}Pic8y%cyjRl43cD^XXPjls6&07-)ouxMTx{2xMYLZ?ybJ95GvBU!
zs5Q^7K6CAw`;T4w=h$_2wp|})(Ko8jv@2qUT{EWJwR@Ufr>ENWehSZ_+GM+WPNLmJ
zyADmT>+*QJevTtoXgHR+k6})u?Fx*t>)A-V(xUPR<}#c$9%h$iDC_b+yAq-F5W6}I
zW}HFfbf8^V2e4Ks*`GZ2<MF<B9qeP*jox-X({5L}Uesq#`su-Xb+_wLH@niIdW2nr
zy4tn2i(SV$+x58<^@dg*sf!MF9cfP;wIlxsZ%fU!v1?On=G=;Ww4^T4y@g%Nn%foC
zj2t#)J<+}iV>PzR)5xyZ4apl?H?V6?eY;%sSg*P~hBkG`M{T>jwd{IVleXwogZ*Mq
zC*gK|ug)0gQ_ZgRvg<-syOJV2%&yT@n0saBQpv6yXjPHg2_=pScKs-CS9uI7M=h1L
z>rNTg0L@DiS1I;gN%lnv@{8fc=_iDo7h^5ZwJ7Ueg!L&*j?knKF%~4A0(Qki_55~C
z$j4sEOAY5Cw-}n6eCJ~S=A=&1FNa;bvfK3}n_Y#_E2~}Gve@-7Gh?7<CVtMy&l&g`
zz0wnBI<8Mk4WnNgyY{B0zf|m53{A<Ik%IA(6Eh|xv&)y1cu+eDXG~)DU?OS;trJp5
z38>llcI8Lkc+}}%o8JAgsUjx+wkh(LO-a%8r%fw<*mU!|P5IIPn@xwm+Vtg%P1P~`
zvrT6{*_0VwKiahOgH3PV+f*6T-r02GtxXxw`3=v#w(0FFo5C>jCGB3=lnuR}+jQtZ
zo4!A@sScJrwdvLqn~GxOW19kxY)Xmt4{h4<z^3>2Z3@SNdp2FaYf}-7x?@w+ZJW{|
z;+9PZZrXVN+oncXd)=o0t`QUFT(#-y7206TWt-wI*^~u+FWTg|U{f-5Ja5y!bF@Ee
zQxj}DLvBvnR0}Il+4S@zbHKtAHr+dJQ+dojMl5kQmBh4In=Z%LR1A}%Z8{%iQ(;Vq
zwCP;Xra~AWu<5Ly?=iv0HC|%EB#%uO-8O|_n#-nZPMb<&w!@~|rcI$(Xt(LH&8BKt
zX|?H<#iqL0bkwG=M{H_=y@zf5o!q7_hiozrk{1j-U{lO~oAO}XKASG>rEkpJLw~z%
zGO%tJYrE5?Ryef7rWEMAo!oA-DK92%wduwdn<`<&X7aMhre-*>k!#U^136vKyf9;(
zO%K-ER0EsW*!1ULY6RZZHs!*kRm^E6^T37`HvL-8^YAZYEKFNU`z7QZ+ZWrE82uJe
zQwwb>fkg|br}@MR`#fq16X)7=_aB>TV#gfT6N6`y-&y1iYi2Ue44Zl&ZaV#7=`@=@
zPqnEN0#jHkESOB4O`_)Dn`l!(%%8wx<8A7Iz&O?mi^kgYX$*Nr%xKmhD@QTLNSk`&
z^a%D8HVtP#Vc0P8H<USH|Nq!Gm^#F!=Ywr(4c{Q@9?J*X^m_pL#HIe!JNEXoDHEpk
zWzG8#2V#2LR2Cb0F;|T4Y16|VHZ_O0J9UKB-E2yT;StnpSN1eKU3d=vb|$YF)ybwu
z9mypkJJ2UKx3?(`rnF;Ew`E`9Y#U<1q1Mz9mb9`d9)`DM+!o9MG0mAXb~m#rI~Fu$
zE=_D2iU*Ck2C<E7s)GFu=?BXi*pvuk>)Z6A9%JERU7PB`U57fww%Y7fEU3kp7+sTV
zYuMBcmkpa5!XM5$V_$Wf@?mu~n^IwhZ2DG}81OWVI>Y5EHZ?|6W%e_URw5_ZT9LT1
zEYzmtm|lUisk}`i@Uk51iaTX(YKL=WY-)hW(l!b9QZ|*r-jdV|HkPm{E0!0xDK+MX
zuojq7j6RE!cf2iP(;z%6%vp$gg*Y#9tsuF=xdNO+IFX-xAUYp=3ckEHRfRJT`w_O>
zoJBa2i+tfgPMeBjZw}5P?9NWjVrMq?C$?v`sQ|WR;VZUf<}0>k;w!dg<SVvk;Ck##
zPkZc6M}OFxmi}=d4ddZRYQ~2x74g8ClK9|DLA;1gPW(8LjQQYPQtAy?l5pnYPGa^Y
zo+Pqq0A44guJAblXC(f{w`mrVV{ts2GGfhNt8!!eAFD!e__tLR;rV4%O&t4a<u%O8
z-|4ODga_ZP>W{bItQv#gU#*&jlvwe_s+`#V*{Tw-ezHo4{%BQWT>4;D7d&}y)&KDI
zot4)(tCC~+TiRmh8>`B|_1dc1IP=P?_IU8pszLbtf;LEr)z7VbR=}zQ|5;TTQO}4K
z*PmL|8}FW2H3`YE^08I<aNv<uRS^5os#du7z^cLce&4D&$cQcXtSSZ1U8@@6+8wL<
z;NxwprXwvj-eQh$-{cxxzhPBBe7SDbY-GarYgUy<)K$j9!z)&eKmshkY*hhRE?HFz
z7cW}X3!g5~9$B#aJh9@$IdYGeXRVrywAgyastSlbO@8qFlvNXv8e2~C9O6z`)e*0b
zTlrj@RT;4J7=7Y&oR#<27%$eUxyXehF;>;V^=NW}cvux>RdEC&t!jhkL93=9BlZNW
zydOvGerf`LeB>F$5%gNs4zD~`%|JFBc3V{scU)GDLP~6NS`~)#4)TXTChLmQh_hQ2
zfiE_z7NZFKR{F&oi&g(1A6!StFJ2y@7Lgm~VXK<sze9|VTrdw>)dDXLa2@i%xu3Rp
zwU7Q#0KUCeb->3xjEfM&?6#^Ke(WMXl*iefRt-cFY};W~IBsrdUmybxZ?mcio^PeL
zP!Pc_R&~XX%~t)3P+Zt#)lj6y{*BZVo^7BGP!N&p85_UXS+xPe&9zpIM>aUtkQ03V
zm;9pwF0Q85kO7ue%n=_}Qg<kiiz|2@8DL$`+T!yv=7!3+zLfrv1D+-9Tl`*Z)n?Sh
zqeaArqByaTy@}K~yuhlK_&A@w5Qf|Hs6P}y>|AOEDRJl@uEnQ0R;@ub+@H<bpcqci
zvT7JI!8wx{5Dz<NSk(w`r!!xK;qEl6W}+C*Ol5A!3f~m=6_VrdWUJcZ=Op$I>f`l9
z&Mk!D-UQYOrEqyX`w0bbVjOWGEBs?Q3y=!7F~o#KI53(V;@2pvcAyD9jby!02d_r3
zmk^F;!>wA1FgzS))dGa#&QQij8C?G#b&Ha?I)pP1#c_Es`wzu%aS-Plis1Y};zbc$
z7{KEwii`a@Gf)hd`q364xZIaMQ4-htkaLv9?cSUR2*v$gRxLyoJnm`LGKAx057rBH
z@u534fhPFg&8l5!jd(Z|L4J?|&aPJVMJ7abA)m;D)19rFfMU4XiJC$v9(ANvQ4{Yv
zFb108cYAV;&PV}QJF5mDJ5IEvW)XrLZLFGyFg$N<)mk*f_f}TzLuaIduO+WV$cytW
zINwnokD60ksEaSnIP1^}so-x){3w9SO;|Hj!HdSMH<}?HERCoYWW%Y3<R0blxB+_~
zjqtlZ=Pr673r^Hyy-*HM>Jm4aB0lVOm@9JQLTz$|FublsJ)<2`B3RSPy&d&}do`E`
z8sd+^UPpiA#>H^f8sYd<oxGqsvfy+z>JL@$M$|MqAsynX5+g$KGK{ki9gz;lsxVJf
z#H-4@2BH(v<9H=%4ps23A~{8OWW)JTVnGdjt3XcBANg>-Jhg{LNC<B^=7-XFR+iU0
zbVLT6Dnl)!I=+-<&tm`z;!Y{@j+RJ?*pi$}2*bw`Rvkn?<j1Yz>{qlvO2maw8>oh_
z#aLSmK`}fkYSkumL?)ao!k$KbBt)PvdlQxMu@Es~5Q^eaL24VFkrkH;ShWOAkQ{OO
zIoD7Fzw>dwfw2h1`@HNi3_>wH$-`QpJM!RmZmZUz1G3<9F7^~!APr9Ev}!&YAPHh}
zFcxYdK7!fF55n;~8+pe>RK@qK>}iZeC4A1pd5BR6#iz{tj8O>1r%e2eQ3%DSjQosI
z2*sxi{EX44gs<u8ALCIKKhrTjCL<hw(-I%1qZSe(CJlQ6^^qK>Qd_kM&5<6LQn99J
zkL<XWlKVJxLw-C;!D|cpqXgb0x9TWHp)!6X<GjE$)J77VNXi+B=E#66NjMwP1^Mte
zF?Ei?D2q>tm=`9Y1`^?TLi#`pWWx0XoFnLgB6t~}{eaP^iofxgE9RjYGUEDQi#DPs
zisIEDi;iLpsv!Z6|F&o`+8_t+|FUQo2BSQ_{j|uBS!jfGxcbAQ4d{j9c>moZC#Iqv
zQseSB3;!mcu@QoIUoCQA3hE*iE`70R9eScTK76*wjTvZ!47mBpqHP$6^7!%5qA1Kq
zE9Ah#4;Jmi2ndOA=Dmf_NLbVj#qj<eePbq?AT#d1wP-hnAq)v{>WxJ!5rJa(@Y*6T
z=AZ>~;PESq4q+T>Ar-E^v}g+kA{2jKkXtNA7Zk;Z=N9=e7p;*8&;PT?hN)<T%((x|
zqWu_ynn;CfPssy@APk9d;R)-D0jP-hIP=(|wdjL#`2EPD6Ig{FD24A2E&Q%y(K2*J
zaeRGXQ4E$L0wwV6KG$J6x}hY#-?JzVE6^RK@Z+vU$FLGTPzJy6kV~vZKU73QT)1t~
zW()y;kWg}5yJgW%j6_YO#hshv0OQdBS@HCSMRv?WYZSoy>lOvE1Q95OU)LBL>o5RS
zkQ7(1G7d(e4)}iq^!N(-$1Jo#A$+<_F0c~45sE~(e95967==2>gvS?Yk6CDg!uWE5
zd|(X*pej=0_IZmAVhWlgAKss%p0NVGQ4vXS?W{$6FdmJN3vbRaS1d<wR6;V`JZ;ed
zOhF42z^7BJ6V_lLsv!;TpR~w=S!jn4{5oOLIc&pdG(b+gIc`xTR-zxOA~o(Gv&f1$
z=!lZ|8)wl)?8G=UMqYf3B^Owap{R|lco}0+04vZBLRvhE=A6I+bVCIs#jPld4r3<T
zqa@<vY9w`nX=sb$_#0%cuoqL%8pZHCK#bUpNoa{8`02OkJa%FNnxim&`lwgz#$>cc
z2>yC4x`O?fj`k>pgt*}$PRvGUltWV7ag#I5LpM}JDm-#=E@2t^!$20ic2a{_j}d5y
zeE90H=qz?(5?Z4;;^Vr>*qDQ^2t_J9wsVGIB?hAoa^aKBqSM%cNoa$TNQB!~>KY5t
z8`Y2ruPnrc4H$(cD1_ffSqmJ-T=YOyWW=i@oFmwTv1ox1B*3l1jDtn!3j^8k{*Xl{
zu^p4p7NwC44-YaQti~`jLLvM)Kn`HRLi9xq<iMx><PCc;16@!F>F{D7bHXN!Lo1X-
zQas$tnT<6ViDn2vBHY`<+F=!jp)raeK5p-(j<Fm=&;SMTXBRaB8<t=o>LMS0?IeEK
zuoQ#Q0EG|_w|DS5i<KCLCMbqPxWAp8U=2p01xg|r9&h8^zy^#%8<a&VJm1PWf$f-v
zuBeKv__T%k$0000f7C?*{M}4EaA7q@q6JDJ1)gmpr`U=q=!`1JjE@`X7l*M3gU}E~
zkr<CQaPD9;CZjXLkQJZTbKiiYSb`yFj1VNnlXVtFV=JbjD}?O$ww7}hCRSk-TBAJD
z<J}t0K^(#&3`S!VM{@l4FJ~EcVK#cBHVPm<?yu%d!zN5d7YI4<eHH5t7uI4tIwB0&
z@qH!F!-cgNkB$gKc6?vK^KfA;#-k&`kR9Kb^E_Nwi}C1)Fl5K~WxP(ngAJIB2pGtR
z_;|RK++hc1qc7^C7?R_~5?)tv0E_THG)Gya$A`tN4QyD2F=&q}$c`V2s2TXN1vAha
z^-v5c@M<CZ6i2WeqtFgjkORLKaNmX?wqX|fq5+B{72eF}Jck7<F$Nt_6}j+do<$E3
zgWZ^qA!vaL$b#>4i4_5C!))|NW0XdEeENraf*Tt#4ZTngAxMR{b9l{x9cwTV5vYkm
zNQxJ;nKLX{jR}ZAEfhftyqQHmFtH9(&=d7g9BJ@jCTB3**n}DAi$*Ao4EQpGI)ESB
zFb4zC4CRppKc<soL}L#YVFcQv8uB9vUQQ#=uwxyjqBk0%G&17bR9^cKh22<);b;dT
z9}?rm6!so$Sc@s>g$5{v4EQ>kH9-{iU@=Ca6KbFcQsKiS&QbWW1M@Kq?NAK`kPL4o
za-RS<wqOnhqZO(k4-(<U1m+178!!X?(F~!;fp~a2p8IduupToo04-1%d5{>d#<5S}
z##YS5P_#pJ6hcaT7|WhU5WBG$qtOMmQ5@;<Z49qPh{Hjw#6<K&LzG2U{29&ph|{oP
z17=|`+MpT=Ar(H2BG-t)0j$I%^hOheA{P?j)kyLPFLq!dMxhJppd>Qk*9cyVa2hsj
zz$^?#8&pFfq{64+jE@)`#A-}Mf3!qZ6hta~9!9<57>-~qW?&H7pgM{mExrw9@8cw_
z*nrviAKIe^LXZJJ|3|zy0~4Du7sJsBwNVn8@n;CHc{mR@c3?5ap(mQ467nGhJ`E;j
z9ESxPFbBiX33X5!*^mIQ2C=sh#6GOV6!b?cR6`M@!;gW)jk9oK8x~>=x}y<7kq61}
zVF0;C9FAfG{=o=zMFUho9wf)7{?r>z!j3IifHCNSCa8=8NR4m(cumJyxUd6DFadqg
z0zwg_$FIKR5*Oja9<0C=3_u$gD2~jChnIcG4<d08YcU(c(G?9*5&4lC-+QwcZ~;E-
z#VSn45OhRcltXSL$LC(u4$i=Zomhs+7=X5@iBiap#CYG6^A9Ir$5t%Dc=SO_R7VIh
zBR*dDVBaGaN3jVDFb;jt3I<9dJCfjIckVxM25#)eN=(Q9&>0O-5e1MIzq)b%hpULj
z5p2YKj74v>L^w(y8xrF~1nZB}aA6l#U>b&?6Y3)r`H==cyK?`8D~Q5jY{UYLM?bVh
zZInY^q{h!K#E5H%g%w+|1d}lc9Z??@Q4s0zw=;RfEu4S@JFx=OF%(_V7-1-i%t(m$
zotPiaz=OT`7qc-EJ<uH0Q3BbK6rVd%=eU3X4q^iqU;+l91L~s^3L_H|;zI{&3+EBQ
zA#B7#OvFHRL<3Yt5oAUpd~DCX8!jM-!`OsHn1n&-godbsqR4{8_|%S=aS@R?g3VZr
z$ry~zXoN5nLslfg=eC?PxP&Mi#TG2ZGz>#`v_K7%MLwiMJiKc|&Eh<QID#!$ifI^z
z?r4D;D2seZhj@6`n)W!4AdX-QmSP%)p*vcj2FfBI(jgw+wW2-FBZwo|f~A;-Vd#z)
zsDZM`hjfUCcP(j;^9bSywqPlyV+4Ak4eFv2iXt15<3|h5E!@T#_;DCpunaRW61~wD
z^-vkbkR2)TvpKH~xP!9@;0U&2Ic8!M`k)=^qY6Th11a&V8G8kHaSlNo#Wt+KER059
zv_}Jkp*V6P6@EA6ehT++9+9wMJ62*2#$h13pc!hQJPIKTlHo@a=7YO9k0{u%3u`bR
zlkh)uM=R7pB@{yrq{5%ZtPdXIGUDLGK5W2ZOv4EDMmsb>Rg^>?q(cIHYQ()AuHz)U
zID{=&j#(Ik{^*1z2uE2IKqe%?w}#wH;x^7A2n%*#HRfU>{)ZlDgZik7QpkslNP_PT
z$P@12B4Xjher&=r%)(d<L|3#xZB#-Cav?1e;B$S>XWYVBM8byMScgTJhLPxtj%We{
z<xv>fkP?6DafaeCuHhtnID+k1jd_@aq3DUWXaJ!!@*@+H;zwQT6Zdfmad6=PHe)$v
zV?2hS2il?`s-qkVBRf(fK0epsbp>~D0kLr5Ahu!^=3z31qYpZwDQco3LXaEjkr>}=
z6DJ<v3QoX>qu7bHScK^qjREM2mZ*y`ltO-FMsobFMK19KH*f}#uwySaVi{&*JcghL
z+M*$<qZ|q&J5nP)KG$UaxPuFbg$oC<6{|20lQ9DQ&;>0~4?<ZKMh>J!B7CpGIe<sF
zjx&gY0|&4btFZvnFd75V4Q<d6;i!OO$c+q0ieCn~z*F49dBnnv!`OkfSd5t%hau>R
z_Gp5dsDu*8hs;QUzv1k2JjY#J!g2Uu!ES88GR(n53_~AuLUYtX7)qlcvLQ7R;A?gE
zD<0q~P9X?8_F*$tVjiYoBnF@x+M+RPqB2UMAhIJZ660qza)W2MgG)Gp0PNV0t@!`{
zv33z=VmyYT4?3eI>Z3X;AOv}l87UDTUqy}M5pLidV&TD2?8Zi{z&uRFXbeIRv`16a
zMi|PVFmfV2lHzw&?rHEG_izQL5D5nkVmsDi31(v=hNB<4qBR=AKt+^5eq=>zB*gbH
z-k-q}+`<JMgAZ2h#b&I+0!+tP3_)*nMk_Q#4OB*H6h<y&L<+>mw<?T<r?`X5IE5&<
za0I)t39GOWGcf_f(I4H=4oy)9LV1KBAF?7166058a)=jrfa^GiIQU@0er&^9EX6;V
zg3%a^Ug(6DXaED1Pzr^R6B&>k@$j`0dmm458<%hrk#OQLc3~q{VgY7gJcgkkBG491
zP#aZI4#kicS&$lu@UtTK&3KOcxQ4Tcg%?)r!&a=p63oG5jKU!FL?^UDBh*4wlt*zC
zKn`R;3M9afP{zdzJj6|0#7RWK4GZ>R8`fbt=3@pXU<3xDCpw`O8le`dqCASD0CFG$
zQXm0-RA79(z(d@`MVv$w+^}FDwqYHXV?JhJ0!CmUdZH6rp%H4KD$1ic3LpnEAO#ZO
zM|sA_3p~V4T*OI4!3_)cVH?(AIp$*qCSU{xq9;0`6&j%ys-irKqX2Rs15zLXew1T;
zyud@;#6_G$6x^_2AGTo~mSa9<U;;*9AbO$`TB8Z-A{>=b79l8roXCXKNP@p*+0%HB
z7kGr*xPr4dh9F$9U_W+XBUWPx=3+V~U?c{k4<gVWEzl6PAcUe6iXbntAw5zcA%2zN
zbscZ;4EJ#Z7jX(P@WI4k?7>#7!wM|KY)rve48s8QL}#=?Q`CcjDkz8ID2QChj5J7!
zc=%qLwZcn0#vNS6IUGkM+_2&Rc48C$#Zt_}3{1o*3_)LXLkF}(Bh*GUR77bMMLuLl
z2BbtH{4T|N;CPGw@BlY)38xVYKO8uMz1W8JScyfLgQ*yY;TVWs=z_Lrh6bpGYN&*=
zD2_tNgKWrvR7iq&_)(I35WK;Ec!=A$it{*$82I6Y1qZMTTd)o*u^4kP1CuZY!!QuN
z5rGb9g(j$n8mNj;ltwWWKrUoKI;21%{3${0;{#sdDemJYF5@hYBMM%aID&oHflXM0
z<yeS0n1%@$h5w;HdZG*3p#>VD4#H6d<xvtvkPkVK32BfF3Gk~p>y3AKfycOu>$r&1
zh(i!=*l-AYunilq8cQ)BvoHnYFam?o7v0ebZO{x2Pz%*i31v|ng^&l?kO8TX1o7}A
zg!RW8{D+6QjjK41lZb&IPFQdNyRZf8uo8<g7c(#kV=xQ@(HjxyfL3UNdZ>wNsEqO`
zg<>d(JjjkrNQ)FmjClB2jQrv~Uf~%Y;tsCk63*fTVi15Eb{xTe?7~)Tz`t0IMVO13
zn1b;bg`pUTKIo3lXor?)g8Hb1>ZpPWD2)&lLSE!RW~4((Btd-qD#|?!KHxR}!z0|q
z4P3@KoJ1^w@W8}T9KddD!$z#Z3M|Gv%)(Smz-SD^AoN8KbU}NxLQ^zAZG<BXp(umm
zD2#l_i7ZHuR7i>h_+5lOijR1M=Xi{JxQQz`k5h<4B)o9If`izD?bw91ScxT=kJ*@p
zi5P?77>s`CiLU5?)@X)?r~?C4Q4wWP0!5G?xsVkZkQ&L55Pu5uI)YDlix+r;`?!Ux
zxPa3*hA8;pgcXOd7dx;S>#zz-u>f;09g{E?BQOO0(F+mih&E`BMyQJ#5Gtbr%Af>_
zq9F1jC$b_V(jq02A|d`3V*lVPKH@E2;u#*{9&X_pF5w(b;TWRPw{KtL=(|2f&53=C
zEJ^wpWtR0e7Uk+~l-bkE$Q;_sFoHdegH3uG-EQ<S+Vt&VEd1ErNH)E@aV$-D<M@Vd
zMye9sj1{g3qf3Jbqu;fzhOKW`qxP3BMy5Gkj3QaO7!!7NHqut^Y&<#E$@tZwlhNiy
zN8{DRjz(<ij>g^19gNE5I~eC<+8cY@w>P3*v@>!{X=hl{w=?GLY-?-|YioQu)5e(F
zvyIW|YincB!q$d6e`}+@qm_}NX)7b=qn1XG@hy!fX<Hh*cC|2eR&QZExZK?6G`P8u
zHc@jU{)T2onb2m&y3<XKnthrYh5j@#YX95B*i^QO5qh$*k)(HHBjcY&M&~t+jJxF<
z85_<tG*<R+XdFw}&<Ne!z_?wtf#JVe-?%xVzEL)9eIu~Ho-wyUJ!Afpx<>4bx<=J}
zb&dagb&Ru}>lm-U*EZ^|scl@TRNL5irIxXAR4wC5##%;QYfa;ItD45?4>gQO%WD|r
zD%3E{ONKFGlwtJAY#2+-aN}+JaAVH*>PGAJ)s1%5s~b!1RWtrfuV!p7RLz)jOvd7Y
zGA^Z-(d=kd<4>Ea#-ndx#;*-wMx&Zx#+fHoj9K%m7(>fcF_v7eY&;rY*%+9&vQap;
zl96dpC8JXMO2$G*MI&=WMdL!EibimMsPV8>s8RVx1;f9!f-$aP1*7--^2Us{<&BFq
z%d<Y^jASdy8E;h1Nc^O%(QI*9<9Ow=#>fX{jOGi<7+orsG1lEHZ6u#x+Sn6X+8B4Q
zlre68DPvE?Qbw`|C5<%;OBx-jlr$PVE@AXrTEZ}^l`uk|7dIZPDsK2{6*rE*4KWgI
z3^4{Z;_J6!#_^rS3~%dV#=ZE(jIu|H8iyl_8eLKsH7a?F7~zA87^89&F|M5`Z1fvn
z*eD!Q*hqJykWp-2A!Be@A>+>Tg2u#k1&z9m3mVma6)?ITEMOdpC}4!7D`1?D%x`QT
zncvt}IKOfFT0Wz|{CvjtYWa-jZ}S>Ox8*g8x6NyGNS4<);>lxF7@Eg;P#}-tx|-YY
z&d+T;56^AX_?XLx+?~r9+$EP$Gkq?jMqEy#|HPbzyKGLQ;?o?)jrBQ<-7Rw%o08@*
z{J!i)(oxxsamBM686IRauKb(L2sX=RTuPkHNbAdLj2xBK_*){YVSSXvSh7BgvAlH_
z!<RCPkuD~)F@I8KqeR8b#;4brjK{k&89%#aGQzTFGB#bzXoM`xXxyrs(Xjo^U|3xl
zjO!ya7==n_FjoJU-YC62z45ARdgFYy^u~=#>5ODc(ivSFr8BN2PG^jXOlxRzTBC4S
zS|jvx8l(TwG)Cl*G=@<;jq%`VYGcp#)W(YLsg3QqQybTArZUQ`No5>po62aKF_n?w
zLQ3Pu;*>^`rYVg|DN`ErPNXp6%}rsftCzy)kT``A7L(klJ~O$|yH;}JQ2gXZ&d6lO
z{%OgKh#JX^3h|N|C4xzfy3>*x(`zI(?#D}N^oUGiB$|=LI8iH!aU@|9!xfX*cr-h)
zQKo)kV`H+!M#+<jj5`Yw8HbxDGPb2nWSAEc8ZTEQG-|d>XgISaG+NwBU?ks^z<Ag_
zfpNQF0^`fm_(r*X@r{K;;u}fJ#W%Knif2SP;~7;a#WO0_h-b7&6wk=A>~Hv~?0>_9
z+x~=qD)A@0ul;v;R^xYg(i6YJE4Ka>zV*(}@W%arhFAFbBfR63AK|{_Kf)tceGjje
z|9g0cgWtlBhJ6dK7xy(hTkHQL>Aa(A{{J|xj6x!!tV$tdM&h-Qk+O*r%GX|@tYkH`
zCoLt4hA3qh(Go&b5-AiB%E-#*chC9#@j9>j-@WIa_vih7-Fx28$K#tA)-;KeLzDdY
z`Bg6ae3h&&U!^JGi#QDbBD(pXrQNL0GP35AL~r;cqyK%Bj=>+LukJ_LoZcvZ#xzQ9
z$p^Xe-v{~f>Afu5`(D($yqAy1-ibQAlVwG3<+I&e$@<tJm-jZvSFHwFnNlwrW9sGe
zy*JWs<r}g8^;+Hpzm^ldUrYSOS5h|pmB5QSsn}j8C)?M_#l)BL8(+$ndoQHV>KD?s
z*$Xj@td;G9Yenh$bIDosT+V!bCRKsYWOUzWQj}dIVb(RWud!OL`c}&TgKD{U`Kg4@
zdn!?lPo&iEiEy7M@+9Z6oVI-|7r$1?myjx1I<QJw7FJ5-(n@*$?~(M3c_jX$9*I$T
zh5U7_kml_x1XCYMqQyfQ_v(SP_f(X@0~woFF7fu|V*2;K{E4|QU+}*4s49~!E@kqs
zYnfcUcux}M-;>-QrJ@#HDn3vuBdSWI!_E@v(X&KsvWum_zF6#)ie*6jUFkjXu1tG%
zN0NN+$l!r@<i*`0x#?IWPc(}}H}kfHEVwO0{@s$_M{mjZNw-A5;ik9*-;{sDZ_1g9
zLJ8efC`a@Q<?)RhGST6NRCT-|hcmBBkll4jX>nb?oVX@yW?d7t?*&qIxIi9EERa8M
zugc7@t5S?t#icf1X8Grf)$n|Auga6h9(nTLz&z0?&y{z(a^*|kT<KeqBktRCq_shg
zWEEvg<koCCtd}jtx2}lMmMd~v_lo>?>$2dM%Q8mqvaGwEC0Dm*$prl@d4K1U<Zr(u
zIejk4%hHQ7V)sQ!9dJ>mJ<JrXy_wQxSf=!Onjx$GGo*Y}hODW(AckQVM9u7ibZtB@
z(+{7Ql&R-s=&y6~`1m<FWphqaRnAHAg|pIi#aZ$1d{%m2J0mYPpAp3zAdl{!7In|l
zvfAXdG`u_|p%JHKiTNq9{+=$Ij;G6c+jQxvmM$q*(!_p4nvCw1CZozu$|BE`l5BcX
zwChtPEhbe~&qx&u<y4t|K1G~YrO1u$DT2i(<i7g}*+24xY^gskI}ab1<k`pNd#mHJ
zE-P7DZcLW^-pLaG=$Ir29h1`W$3*8xk_4wEiNUfYsp^^}7m5?*yl0|3#6;=&DM7rF
z6QrYkg5-5hkkF!d@$rb4IEa_3k4I(H@uQNt_^8-w9~Iq_Bht#}h;$fxMCf~*_??QA
zpR3{|pjVuXt&Ei}p|PSqHC7B;#>$fH!;-!2u+Xr>QdNIQViFF?Zo5O`rhP~f@5M-c
zK#a^ZkCBH;F|z0KL7BYmpcoq;6osr?RwhTwnWfR9qZ=(JDx+jxM3m^yjuLhCDCvId
zfK2u}AYo<)q}jhn3CN0+QO=Rl+$2)oe~geHX%S+uE<)DzkC5`Za9NZPE-jXX%Prk-
zNq-V1XAg$SgZW{itsN%YAB4*HuuzGZ6Do5$hRWd5{n9UFzl@!+U$(06m)m#ti3IMG
z;;H*&x7t3LQWPR1143lX)DT&r79uB#f<-MbSOTU6OMmrX#d8xRmxF`k%*-IUrV%7x
z?*)okSfHfN4U`dDf%2##K%%1q#Cc(WY|;r3{~CYAe(En8%l&1Kp}(}Q_mfkpezIwU
zpUg4#lNn!qWo4$X9Ngh64dN@-%Dz&4%||?ZePsMJAJNtD5v_7>F^cjQ+eO}z*vnhm
z)_F<b2`?G2!Aoj~dr8K3Pf5DsDW}{$rQF<8y0r5Yr+a(lP2^s2S+rOB8tj#KuRWwV
z%|nVddq^#KNM|Jv`R|6i6b8DBg_XO!?B*^9pSj7}WH*_+!A)#Oy2<uGu5zZpRayqP
ziqjld`O(c)hF{ww$E^0qj2F9Qz~<dDy2WnU5w=Sjd+(A1=Xc7cNjt^$;SR}NwL^yg
zbdd^w7fJ8wA{W!Q%hz$+W$ArqX};1~%71K=ihym>PH&rRI=fZcns1f+m0RTQ`YrNP
zd5c&_ZkCrun<YMXlkA_nNzT+eiL$GccyxA>5h;$+Wt^k*d$>{7IBb;1%{R*K=nXPs
z*an$dxL(}s*UPge2XPE?kfD7YL??Tl;JkI>{eG<|d#{yL-L>MGxkdtKt&ywstEJ!G
z)soe7wd~ATCF^Fb62FF(^1ySY%+y;c-!H9@J9Ae^N#k-+3Ro`ohRdZPf0-oMEfc?=
zOXX0+Qh8#$R4j{^$cwd0Bt><J#3ueHIcEQfTFqkd+_hMYx-XVLnfCH)p1t(>Y9~8F
z?c~oeJ4q>7B%T`<iJ$r+$vU}Ew5BbT*tZL0cEAD|I&gtNk*#c4XDh{Owqkp7zI2#A
zUmD-r$gf}<88*yD_T96V?whTpq_ef8XUvn#`SYaV*Ib!=c&-$Wohz=jR<gj$N*4FG
zlAxkFQnz7_tn4&LI%dq4I@{S&`*)VKj-Mqq=Ch=vVWv2S%oGJwRR&ki5X(I?B&hcc
z`E_%;glw2D(>qU>5n0p3?7wN^tTIg=oSZ5Pt)@zwUsI&!$P{@xd5W}Xw3JzqmU3Mz
zWl5cd^bN8Qjgb~&@N}{)^qMS}2Tzvq56$J{9&@?g&s_3LC&^2fNiwAOB#FH<QATc?
zD4+Ev%7a@Iq-OI3>7YA7R@@vf&o_;iy*lG%>P<6&&1N!P*GznFjgwbf#>u)~<D|=-
zu~O$eR;qfBm9HgZ#AMePiS9o}dOr{;a~C-_L?rGpOSUgdGgFq8FGxP`BZ(hF;`|Q9
z@gPdD1xo2R5Yr@(JS&h5%|XVU87-#&jh0y*MoVzcDEYX4lx)=*CAxP_<?Sw0c|6Ee
z8lQ|5!=RDkCL`tVdlQL`HIbz=O~g{kM6Aw?5Vxfxq*QZ+jK4lyDz*)mkp9DEO_i~%
z3^W$6F~(B(ahMED7$#@t4HMhe!=%sUq0(`~Q0b*VRA!eCkwl*%(v^lt`iH@?GJdd(
zvmPwecCgIP86=UL2FW+WLE`*)pmf_eP@Ya4C|7?P$<1^lX<TL`qq-T%k>UYj<T*gf
zVSvOn_LqR9{t~sYzg+LwUo>y_6Zbv+q{GO5lJnM3g5nKjm#v`$Xc)@n!oH&B+E;d(
zD*A^$l9kj){OtP3_AY(I=WcJg;MH4NjOi_o-wfn$x`CWnWguI78OVQ?`m#1uU&5y9
z%afM+GBKx@6gl@2C*xjX`c_Z6CFx0z#d^Zs^kmn4U8xGv6&nj(`P^JrPG;+f=XM?0
zIYLMFeds9#CwfYk6+OkPS5MJ=(nE3&^bkL*9^%xYhd38?mxDgt<?)2>f=b;b^GY|F
z?b1!!n0Axu&t2u-sjl+ep{sN->M9FfYs=L{ZJE4OTk7?+<-}7h@s80FH(M<^psgjh
zA9RuK;a$XMP8aFev5RDube0{#on^uF&SKrJvurHVlth0``DUpp%iCzmhnt-w+_#hB
zb9WNc)}6%oW=FB`?I=4fI?C<V9cAP#4Y};6A$C(Vq=%Y@G!=D_hQJQ;dwK`y*P(-K
zENw4k``gQGtM>A?b9*`RP+gp&)WvRrx-9RhF5cDcq~J(9>9MSx1ov$xJ>RIw^%OPn
zTdyXohpEYuFKuOOMq5dAX)Eu!t;|+xD<uVOWVKHl=`pp9)VFUV_sUw!{m9nRxS+Kd
z>a`Z<7phX5tSYM<R7J&DRdSnDBs5D!_PDBu=R_4rY@;I8#jV6Ryp_b-wvxVjt>pU4
zmg1VyQsy|el(D8QWzwG(vixcbIqcg)8fUbS1zlQ5_2cHUGrqYPuW2qy!<x&RZ^}}i
ztt>6Pl*M$KvUq4J%j+s7Sst$>zt$+p31cO3{Mk%q<u?-xzh+`PyP0@&YbL(e{xQw_
z$9k{+vWfFwc4_^WKSclG@PU7LZT4?=ocWuNJ^#h+w*2CwD!+JT^iN(m=qJ18{^0v_
zez5hc@7!j`cYdq>o&OyD#%%hHQ*Sr1<>DsR`udeS`F&;9{mK#NzOatv7rtNpnKQS1
z=G$#Qv)a*5ykpcS)-L|YwaY*9<KK<kJgkwejT-q;{s;E8{lF_ez2}X7?>SljJ-5qx
z$FXzXvEAFZZ0Y%ym+HLb;~5RyV^#xSuCHgGz4h#-Q_o46Z}|J{H@x-TYu595%}x5R
z`TLbuY&icFyM3u+m5@5VXjI3MH(qkw(wAKR?*)&HdBORkUhwwvT3+Z>%WK-#a(wD@
zR<V4}5wD){OwVU*V(^S7<kj$Q`x>tOQ_W5>)jSZZxkKes*4h4)t+k)>rHm(RZvBM+
zHa+I*h{s$%@-gc^tm0kUs<@?g6=!5t^8Wdi9QpGRUpx4Sd+;MZ^t6J_T`Rboeg$_a
zc*wZoA^WO6<Yp-kICk0tUfEdAHlgM0II^72KDy66circ7z5BeTpp2)jDq|b9GWI`p
zkL#@N@#-I?ta-SUUzwHivsWeDJg|hP8JBSO!(z7HRm@rj#r(JME~{<0%VwSLa%|Qe
zHdu0p@2cM6xbz~9npeb`e{S>NgxkD!s-l0s#hC|h@qzKTIJV&?7lqzrUAoB!UKH}E
zz(W3OQpojBZ}4yL8$5j24GyWi&YkvN=gWhxv){vOyxZ*>M;cw@2jv9}t_6H`Kmj|I
zU*$=zS9y%lRbKQUpX1!}S#?l8hganBq`i6EV`v_0J<jEkKDq2NBA1`n<nV^T9M*#z
zZmP@X#?Wk5AD7KD-(TSi2e0s0i!1!T=`!agT;>b2FLQCT%dD23#SV+I_+#5Fj=FS-
zm#x0UbF?q<@*5X9dh130)aN2QlxMP<XC~hrk;!LXWbnnX46dD!!9%}Z;JCyKY&`D*
zziM?sf!aRL7gwF<@~-Du^Y%I3vhy5&A9RinSD)n-`_A&r@n?DA*E8&Q><m}VKf_bi
z&Tw`1X%2Hd&1-v~=A{o$@h-npoXMxS^T%`!O-SeAHtGDOZ8|^5N#jSG()f>I8k;>n
z$;lxndC0_*{P0IA$EBsR-_leL*G}c!J1MN@k;2ZSQn=-N#qF8+6YM(w1g~#@f_Gj!
z&M7;N^Uq<&dG+gL{(d-_kIhZyt!l}<{OU2@>~f6bhaKaOuanq5E{We+CvkN9Bwl$V
zk>~75WP8&@_WO{)_m3qoFHYd=+6lbAG@ecT;<@|yc-H%UlqZ}&%HHdb@*BgWy!zP@
zRy}xxuUj4Aqv}WaP+=TrxX1AaisOmjV)@ePSe~{nmjCvR<-5-g^W~VsTxflmKXp9J
zaQ6_$`5xll6A$tAW{248attqZj$ykIF}$tuAfHS<$V#gZvQr;Le;&;z4@dL11<`D$
z9nDM1qu67A6z9)~Vx4wT9C_;i5Ar#{H4_i;spbbbCNGi`_eAn-j%4-U5$td&g5Nkt
zu)Apln>K}W>+|9KZBsZa4G-sjpTc<U=`g;vF^ne-4dbUDLV16BC@<L%%F~C0^1KiG
z*(H5HU)r#rI}hE@0gd}u_w+u#<G7C_jrZ}c&mp|~TnHcB62fI8L)h?pFh^VrX1yK3
ze2s$H>u(S*$qnN9?m@hELJ%Kl6~r}#fjr(nkn^SmvTcVzZdVq-Rp9|#U=zTF-2=Gp
zsXyx;^=GH${#?_~pI5#0<F=>#xNwsn$C~<a$S+@x$?@fU4_{WE?8^()e7U5=hwZ|B
zxRtFB7wY(MLajGPCwud82XDS-?9H9Od$HpcFMj3j#oH!(v7WjY*Oqy5PLwB~v-jky
zeLT6LVJ{CnvzNV{_wp~<%RVjl^57y5ez)I)ug&-13wj=$`^ueb)7)8it2=LEcdlvS
z&MS)CxJ8&7XDx7Je*-t()ZogS&$@Ep4p+_@@5-&!T=`-09xfWahd<rg&65}I=DY89
zvFDy$yiQ{md&KYLTP8bsT;UFWZM%cB-??yss|)|^<ihsHw(}R*&Y5?eIc146-)-8)
zdj8w^i0(F?b#5yUwb;u1bPI3aw1r=&ZsA>rH}k|1n;CCy;>C+M@!2LP9uerowFXX{
zd&!Y+&vN7zZ#ME;*Nyy7Ya{2SZ{XAB8~ASZdhY7Hp7(WF&m)gJu&S8@t5mJy;hWcS
zK)ZF^@z`3vHg+v1R<7aGo7Zr?`Wl{bd^JBCznWv8u43Qqt2j<`71yS(<k?eJ^1Hef
ze9nCZAJbXE*DfvR_SVbU^Yb$98?uZ)4P3_cH<xm|l}mX+i=|wCWC^>BS;Cf2{^N-|
z{^K=W|5KbFi`it}Vy^mP&ncnyoMddzw@dA~o1-0vb+F@6rxtOmnTz=EhlQ*cvXIve
zUC7T%7O=bH0-n-w0n1riUSMU*N50NyjmY_YV$^(IS82mGJ8jrO$A(jKt-0e;Yd+f2
zninL`W12FLC%vD`+xN}o`y=MEO@$S=*lER&bglTo)j9lY<s7z9o5MM$X7i%Cv)SP1
zEY^sf#fB4R@v=8F`DV~eo;PA9x2c@Lb$e#;n?5sGvuHZ6aGK85+S7SY&NQC1Vj7#Y
zo5q&srn1+9sr*KHDsMV5g?rDQ!oPl4@{c2yirK)DSAVkL%4iFA8gIcv-%e)D@X4$r
zlX?0pb4~~`SM2}hoL@VM{Q@Vkv*{%Ee>RZ|{3o)($ccQcW&+RjpTN2!Cvc}{<9T4f
zcwTEdo{OKGu}zQ}w*oVM^l}`R>>I~#c^nU_AIqT;W4Y(}v0U_F49CWd;Yf=yighFW
zIbPUimhiK`%t5Kl_O{Gcs>}`-h)*mdZrh1CI1kx$BXV<H<WF~iTkZnJfxzKaqq(F1
zXg&j@c}x8$UKl-!S6GhX(4VGUd%~3GEimPVwx%3^c_i<47|A<zMsiHC30J$C@C0KM
zE~*{DTf;}NnfVAF_G37kr3~jSi-z;9_QQExzA;yBHs)|cV|J<>#*Tr*c;DDzT=sb=
zn;sj=mu-jgQuU#1ls|+!ZymyV1BUR_r-M0a|6o=%AIt}S4PuK^gSh+hL9E_w5bGBY
zWb3^HId$|v*8gC{7ZZ$lqpcB7?qI}YuMgn)I|uN7;{p8kb$?zF+n<}w>(7_e`g7RT
zejMb|kCTV><L9ppnc@ujg0&&fY;VYIZuI5a-F^A-$iDpbeIFiltPgwI_u=1KeRzLK
zZ=USin|qq|W{qD4-20pX&vP)~V|@)+t45!bqV(Bnjz0Hlr_b$f^kOZyUOX0ivCmgM
zexI(#o7U)Ymp*!2QLW3F(YkzLt}d5#&}H=^9bW0J!%xk0c+=mW-1kyX{<ftj*A45*
zpWpRhofAEH#flzWq~C*QR(I!*2fOnro9-OYxjTE^>&AzIyYaoL-MDv~ZX9}}E9-i8
z<(p<*Iiy)v-khziIPbMN6twxycP;Lnp~VNbXmS4$TKw=+7d~>j3;S&B!u~_LaLW76
z{OV+99_!GV&kyX(liq6bmlRFTUaQFoMw*<|(1{CDI`QANo!Dw%C%*o+BU_#9$bTI=
za>3w^ocKY5kDk)tEJqFgV64GozI5Od=R5GQZ5_C5R0rPovpui5+@9@rw`Yg3?fHOm
zdwyD=&SSjQIm<$wXRE1mi{f@%y00Byv}(s$TJ5-^QjI$tR^z4rsc}hfHMV)(mVc(S
z<%|t&IcRuWcKz0d1G3uinLTaz^Y}JAU9}BgEo#lP_qFC<b6azEx7K{HT9x-FsB-*j
zRlYk|l{<Y=VaJOq{ARZb@0g&%hHX^%ZE-8U9o~wsE@;K&y;^az*DZNMT1!5<xg~d1
z+}1s=)RN~Ew%{(oE%?*i7W}G53;tT$oO`4+SIpbZ`TXeSY^c<nPZuh)RfsZouu<lh
zy2^a-l@eE^EAh8&N<4V167N=3;<}P%ydtU@|NE~QpBm7NKiB=E3(o)OM4NwfH|8(t
z5BW<;d4I^(>JQ1Q-!$9hH$}AjO>K_+qLU+jk!#^ka$oq9&Ncp^&YnLgvFi_7miC?I
zjQ>uK72oKJ!#5h${2M(#&_r2-n<&5FD}A^9N((=Jp%30)=#<VEiar0CE>HbTDla~f
z>yA%k*y$7fKJk(MnSG=oRgDz5sgbnR8mTnl17#>CqgxN&Q`?R2X?yGUq#6H?9@9H2
zeejk(ZG1~(+rFi&#0FY2wt+@g)ziqW^|VBzp0ZNk(Addu=wt0`y1VB!J?#FP)G}X@
zgVihg(O5^P1M4V!KpiFAcuCdEUeZM6m-Ha^1%>hp+EG<YLECGoNUN4iE<C3~tLNnP
z`5A54|BO6_J)^vm8XB;%hOV@)A(!-OS~8=WHh*|Zr-GkSm!VH7spJVQc6>q;IzFLU
zXCIS~)nj_|wTd=HR*~W8Dr!+xNo{sj66jV^Xx=00yzCL>wt7Ti$17;x)C$V@@Q_-D
zKBS!^A5xFX2lQgs11j(JfZks#r=e@gDO$ap2A;i7b=LQ(@OK&AJ5ok1%*)8`?LDg5
zcaQu`@6m!MrDWw%N}Kza(&ge3GTK@~`8`U=^=dIKUsFtu8pV{5d6)j$-=#e&cgZmQ
z4mHiYLk)k6Naa`&S<X<<+rHhV@o~55$K=~o{_z%7MBgH%3AbqGyPI?^;wCK~dy{(A
z7m{jNA!$k>O?rKU4)4D~-T4M(zq(Fd`>)exzE0k+uTgI3HPRV#jgHh8kVQlRbulX-
z)%RCPH~K0qm~@r0KIPNc*nFy=l24i6^C%@TkMd{d(cgc$WOp)`p4;Y<ziKYoT*x7d
zWjSQmF^3{^v+2wFY}(v2o3x9rP>stKD(ZiQswys%y3b`=W_p>P)@9L-h%CZMS)|i+
ziTWg6q8alpQB12#q?U1!Vpm=yEA5Lk@Mb0%x@6KsqfGLAoI$SxGss~~26g^;fvS&Q
zpdzaaRMqMNsa-rz_G{16{hsG(ZOJ+6?QxF&nVh5Fug_BVn6tES##zc%K1*g7&d{sX
zXDF@b8Hy-9O>v&5>GtT;r1kz3c^*AQn%1YNpzSFN&rK)qE$I|JAf4`3r;&bm8bw;B
z(V%8&^y2(U%36Dp&h|P<w;!fbi=b3mG$EB9{7j*Zr&DOasuXIWn?irfPmp%t37S3O
z1f~8uPJPcFr`$EiX}kV$nq8SpQ}!p*Qp;pIsGLlnE*+!Qn~u>xqhoabMH2ZPN}}EK
zl4xK1B)VFdNSf}6v=<Yp)7J#bOG}`jRSD#xpP=|o;wdd6o|<OH)1tQV^!(aU@^U>&
zlkq6^YdS)Pr;pHtbw_BA;Ss8M9!E0{$I*-VaTM7(j#ib%l67D#EwhNF;Fhsek$0G6
z_hHJ1!?f(%Au>33h?+SbqMw5fQOAZDGEa`7sO2%FY7j%=H3w<T;e*s_;X$hJdXO3(
zMpNsEXqsRZO)(v#sY7WL9SM%28PlVvYr80FR&;=x`yU_!%L8QJ`T%7XM$#akNXj;k
zq;)EhH1b9S_3(}$9rFkxl?d8;Bb<u7!$~G9x@tIWy%|R27e+m&gi$xOFdBX*lvW0X
zQpSu>($@&3<M;N{l(7AzI&VKc)7nqvkM_}vgZoI`ZXeCj+ec@ghtS}}5Gq(1LR$ue
z(71QO)bCU<4cHV+lST&9t{*{Ed^w2FHHh-Z2hmcMAkw`ZNMC~jscv>4ee4oQU8(|T
zZfpRhEe#<3egSmqtv}hE_NQ)J{izB3>Fqy1`c>dZz5V=X<qSV6(DWmy^rc&|zO;F{
zFPR$olIBMrYLnqZ-FErV`0+mE+1iJm6?@aX2yc3^(3|`XylG0k7xg~vMOw~YWH82y
z%v*WU-aDRD8RkhA3q7gSz>}OB_L9-rz4XUrFTFC`OZ9E`QmZl#f`cC9wbX+ej67)7
z7kBz|*_~26-N|vfJI&B?r-?OgH0QV*ZFh20*q+>|T}wCGao3fU4!Bb6f37sw$dxA6
z@1YL6_fVUTduVvlZVG_iq*=U+ZZF+Mr@!x{>w!C|wZTr>k-39<Oy5BbwJ!8#y9;&h
z;6fXcw$pdoPU&UN6t>2hjww0Q>jT@!dgwO#d}AwJvENGPzipw);4L($-xfNVyP0g~
zZ>ABSHWB%6BFEmFsO*Xp{b%h&Jw7^83x7xI+Q*S>b2d`p{Ef8a%LeKfyn(t8*g$Y?
zJ$Wu(PrrXTP;8_Ftsm|{tBcoB$l7)ETxA_CPFPE=$E~HOPu9>=mo?N{dkrl<znY%U
zUQNM`s}$>J6|EV#iVoabNsX&k(k7La)GKKP{g|+Ve%CIi{vON8Rew1t=P#qQ|CZ5S
zB}E-sN@?SklJfH<<m$eJ3=Njh_pATW=VkwqR;&ML`LV_Hc=BS}S#M910_<t@V0)Td
zVn@+VcBI<bj$$(wk)7=#n)GKOS;sA;kns!YQ{4jE>9>G}3|>HO?%7hit+q6}n=J)q
z&!^T)=hI1*`LsRNhStrpA@3$@x^>W+OvYK$jk<Z{7BG*N7|)|M6>}+i_gwnedoFFb
zZAF?+R#c;HMP)g2=-rArG+2EOMVy~ay%)`<M=fU4xzt&7!D<#g{XLTgCC;Ry(`FJk
z&7i-BXV6RY8T6@fI`xU3PP@lXr$29}(b0%$v~KJ)T3A1ooWiEkNtsIOZ>CUK=oA_w
zQ>gtLOKKTrskq%^NsH?(=vuf1%@}7vf8S1~(gTy}=7h;q*Jw_Lhs-I^!ko04Ceihy
zlPGG&BntUGky4LOq_^`X(##eUsp9km+G{_7tlCW=^Q`e?w|YE9X^p4v*UZRevl;0b
zn9-ZkarD4-9MugOM_sGO(uSb1^oGZh*Sj$^>ChPJKWz*R`6Fa=QYe0rkcPU@(QKx<
z8<>prm<&pZ#GPozaH6UgNQ)wnlqMtH_yLrj0(5Z^(98Bf!}CW|{N~YQVmO-KJQ_vW
z0i)>rm{D}+lPRernbMN^rc|wFO1pAL5^WwyJ^PI$-Nz<m7GgqP6HKV#`v`J8IfAs8
zjG*c+Bk0EM;Z))}oPL-Lr|}KOlon@9qvsjZi?+seDsLFYY#T<&gN9Lg?NHK>9!kM8
zhf)ufp>*@g5Q^A5gglIfQ1J7?lod6YRAvn(C)L69Cua~PZyQ8TLk7`;R|9ET>_7^z
z9!O>F2NDz-QLd{IEgx+}{XY#LwUhy*zH9&u={bPbKj=?I!Trg?qCdS<?oY9o`;qh3
zezaj|Kk}?Mq>BlL)YjgRc6L?t`+X@hs4sa~^rdwz`qHMHK6JpP4^^4;A;qFo%yqrV
zW>s(M)Vnt|R2$H<g9h})+JO3K8qlT^eX0)7r&SjEq~1!O?&bHQvwM2cY3fBqKlG?Y
zh91q|tVg$p>5=URU21hwmx|Zu()oV6lu@Tc4-#~!<5C@3(@Te{t9#PM!#%0zqMr1s
zdr!Jk*@KFsdeD2D9@JmE2f04%PM;&Xll#2xG^k5=`cmGF9)@?L2XnhoW9M$v_d!>3
zj_67+=XIs^T3xAAg*KHP(5AHc+LYK$n=-1j=w*x+4Yt#w{kmGD@vIA_9PL7jmvy0`
zeY;Ti*PW@?iOyuUt~2c(+?mQ7HOc&}CY5c`B$rW|gugnGR(2;+ck4vD6FQNlN+$}r
z)sY$lJJOn29qFHDM@p;EplvZ4WV={{tb1$F`qv#OHnjuQZ|p!bOghlrAMI&Hc6-wH
zXiqQ9+tV$z_H?sUot{UiljcHoTHH&WuGO`p390Sqv12<5G;K%Lf7A%Cs?jK4HJUy{
zjdpcbqia=dsqfLY6t}7^4Ik2$s=v0Ogv)Kn&7%!%vus0N8g1xgMQeH&+nOe=Y)u)1
zThq8ERjR$BN{2jEY2!3iTF_aQ?4GEQOQH&;IjGQ26BV-i+lnf$x1#mIt*Dz#D|)Ke
ziY~orNoi+V(#0Ju>G6b?q@~`H);w%M_v2d7yfrQ8!|)aq_oq3ny3w2_?`uwD7Br{n
zeVQxgb7eYxQJGrqRaTr)%JfBBnSyGSNO7@^RJJQo-FPK>tgfVZ_L@<<#AY;kV>61v
zW~8LjjG86>LnHc!9%X;A_1eF9S@|!<ME}9##(%K()^D_2`Wv78`h|zWekr^~zwqew
zpZLoDC(i%z1HbM6fq4UeV8-?D_-OHWH2n1qkA#0i^P%6c>+L4&vZ4vcC^cbN%vaPL
z^%Zl<zF@?LFL<Es7rb`tvm!728RKd`;q+af(6HMlG|Kph^Q}JOnU9TV65NQj0~;~x
z)(6a9^#L1NeL%Cs_jq;udtCqg9gcT<hh}>3aBa?8%(i=r@V5bL4mDspH(>IUdc3u(
z9=qt&qkr}r>~H@D8~?q=nz+~aW87=R+E<vg_m#r&_6on=sKd(Db@-}n9rjFni92S#
zM5WI!@KpE<^d9vBy{c;Q<nCJh-K!QiU3-olS3k!JwdZ*K)H8f+^$ffIsKMQbY7`#G
z8qBV%#wh=4JUFx(3(B9O=8mW6ulE%DUw?w{*FM2YjVJgn<1zNNdyHN!9%H+dD!eqS
z3Io4aqIYa19-CB&@7_I9u+SdiTY7|vFDh_vK!t+)T!CjEKSX8Ehl-rdL+te60p8#J
z052In!0RRD_-%VRPBSRSn??6=&DQ%kRPR1^zg31to68ie<1)Ndcn?Qyx`$Og?_qpl
zDF$yU#W<Z(g*UMThioZPxFt&ztjuBszr7fhdl#cd$z7bV^DZ9jcNe>q-@)^4cW~R_
zJGiK-2v_<PVVFq~zI=Wg=ZD<Jk9-?b8*ZV0)Gb9W{uZA3dJ})f-^As!Z{p`>H!&f-
z5S{G`aYMU8^tpTk3)bF1gYGvl;nsDW>~bB|2VBQ*kFKGz-!&Wp*Kl`z0X9Y#;NB?(
z2*0ml$CFo4&F(51w!ezYa`W-3V?ItW$j7?-d3eGr4}(YLVMKi{X2;~B%8XoeQp&}@
zXLB%RMGkK7nuDu~ve9`@wqiYJ<FA)jaDCJjRGxMPFEqP?{^u^Eo5EQi*+b!(FUi6_
zo>>?(Itxd<zl3j(Ucv(FOL$rB65h{KIGMLyROE#&;^SuuS8!w|4pca9TPQrSzcMov
zd?bZqRN?E4tx`Dr_Fupg3V)&fzw<c!g2JWcpzzQs{9S9R6i%G|3LlWA!Z)Mvi>$h+
zV1PR+7|8t<9P(%XXYU=HrN~~iQQX1LKaKr&oW_RXr}6gNQ+O-!6uz=Mh5Fj3a7Sr6
ze)3C4p9$#-ZgCo_XQts_$24p^Fbzl6oy0wHC$Y}<B(CXv64gplvB)nKk55d+gl4ID
zIV%M}ZB4<6#wmFI-3c^1egfYuJAvo*PGI!o;}~<`IA&QL$8Q~uE4=o}c+EE%ttTa8
ztLDiHR_HOjwDTC|j6Q}nO-ZP8E(x6-lkmgfBy@k9h{H}K;-8g?iY!7RzNt;X)<+X?
z;^G86q?3RePvY^&!FZfz8;_b@<MG?Wqu3O26gB1@Mf1)_G3x#iY!!9{gXbK<;hm1)
z=X-H@cYhof%#OqIj&Z157K@glv3PP$EE;LXDtNSq(K-Aun$J6o!?X^gNyQ<wiaLZr
zwui8``yrhDBnBTJjzQPOF*rs)M&TVjh-yg(vD>PHiX75G^n4qQ&(orDzGJi^HyVxM
zO;KojF$zcTj6&lvQ8-aK3Z1SUz>7Wy6by|67}ov(_A86T2N98Y$Tkvp>qMgS^9T$`
ziolC&A{5!a2weO*93N$b<Jz6!s5LGeAGZw0OSi)CbZ{8vS%qPJ*DxGd9g5xwq4;Zc
zDEbTu#X(>9W5cEWnD4qDPfyy97uELTqkH?XW7IxeYQGQf^x20q-iBcPnGig*Jp@;c
z4Z$fYA!vR#7#D;GqxZsKyloJSh7Cb@@JtXIx&-0vaY5+aItXn`194(hAWr@-5SR83
z#PE*+SbZ@7$GQjLMauxR=oEk-tNig)f<JmY_~Vw5{^;`04<icw@YX&*1^>qnxApeJ
z#&^Exn&FFvZoc@^(ibmj`eM>kA3UDygIAq=@H6=!sQ4)OzTT)7<BgFkym9m}Z~XYn
z3v;h~Vd6e7j9ci1XAHft@{=cOXL~C6f}U7m<%#q4Jh8E1FCNO+i;F$>BFxx}1G?|U
zA+J2p@~j8$*yDluQ#?>t+XMH%aK~<^-7#~QJFc^IM-we~)O_KFtxvmQr`>Kie2N>c
z(ssi$FI}<YSy%LSbw!Qou6Vk;D;C|`gNxViL7g^xP$g+Mb~D?J)=zg~w#zP@p|uO!
zoZE@-XYRz`?{?q_{~Z|KZwKmKcftEhUGR*Oi-PO99pCVFG<)of1uo9Gp{p~F&)kM%
zt+(Ndrmc8Bd@Bw#*@{K?w<y?fThLQ;3m!hVS;6z!tYCL<Qn+3>VZ_Ky=={(L-JPBA
zTvsPl&vL|&g^oD-??!ABw-J@iHlqHE4Y=BCgCZ-o0oUJNk4Ed)V|$JD*zKGHPPKNx
z#GmW1&*61gG;SS6zg&yKzH9Nsptbn6bPZZ<U4ymV*5HAh)wpTdY6X*hHO8c^!umO@
z(C)`d{C;>PW=>d%hw4{ga>xpNG;#$Fd9oZ+JeK3M0n1UdbQv~tUWOfYm!ZY=rI_fj
z6#I5wiba=~VC1qT=&iN{W6u4D4;KE1CN2NN%#(|8@w~-2=$}36B-`WgS@!7g(++RP
z+u^incKD@f5$41#Qm|nbVcwU8iuYfLb1W8O>E{Kw>F@#^ZLt9Lzu4lCSX;EWRG1UK
z&c^{q=Hs=g^U>qG4K7Qt!BsPDF!;AMK1#O6Npr37fs!@)rp-h91@q8GbslayKNn9g
znTr}7<|@28RycaC6)JVL!iMW}@Z07&*vDWFZY`aSZ}!Z_-GgT<xZAT(Jzy59;w*)q
zcqT51nu+<7XX5zpGqCR13_M{y14C41U}VO0%vm`dTWe3p&4tsj+4gC8vi~&PQ8^XY
z_)kR_nu;m!rr@8$Q*h(VDcD?j3TB+O#DL|N=%!_fkvA>y&JGKOQ^5kGYbN8c(8>6E
z;$+PEZjKjH%<-<BIkxI(j*G5M!u!sXaP7cJs9!Tt!8M(TAIv9W%ij|aPEEkzWfQP@
z*9jPTXS~AaG9G)Fjz{&kW~h6_3}?(U!^3UOP%Up9Mr|F369<mN4$sHp&&aW;Jbf(o
zZ!s1(TpELA8^_>0!!h{niC{*UVE7cl{mOzTFEZ9`WJNZR@l3ViFT_Z~@6!njTam)2
zikP<*v3@Y(uveg9+5&3Z0A_Xo+<J2~&T=1(mI`9U;xD5x^yDafv0@a?)*FRS9+{$N
zs3}gFW{QJV6qPp;r|cMso+cx)>VpYRKVgDTmzkiyt_fOIjz9<>fjn~rE^Ipj4_qIP
zjc&tnIS<FC@5UH^&KTEiG*;wtjnV4$Fmy^7hN+8(p>oe*xcSjgRE`*msk4WoQ~RMf
zr)Y?RS2_e&Pa1-Unh(Kuxr5PW_h78X!RYp55RS<hgxXsMq1y04*yH0sG*2Ihfer)l
zz0p8iQ*VSy$BpppN+U&v&j?q&9Dr*R2B7cK0hp&h05zZYNB1NBvCV(|6?0O5TwBu*
z$H(<ku;cnE=Ffh(y2cPw;tWycKSSKr%MjZ=?~55n`{ItJeQ|#8zBub;A6%N$N5S~(
zgXR7Dph<miOi$^JW)8g-XJ>D`&}e`WXACf8vjN7BG{BPY`q(8)AGhw(#}8xl(M?$&
z2VLuhpS*iviDfUm(XJOhEYZVeVR{O`vK}7lriU6&b@A{KU7WC77nS?#;-j}Zc=MDF
z-rKB$pGWE7pg%ovPhL+2TeT-TSoXx$?R(;tvL5Jrpa-sB)C1S*_dwTI-SK2<cl_ko
z9cP$!$AaJ8a8`adZ1V1gXQy>TpHAIy%cHL765ACcmv_b6MqN?slQ!<i)W)XW+UPq`
z8;7fD<JWsycsEK5a~5mi4MQ!gd*20nUg&~rcXh#%30-iiS{JM?>x{k!J1c%$bVhxn
z&ZzNO6ScB5afF8^u9~8WXFF+P=f|BeFrgFnaOi~jCY^Bi-;OxzMn{AYMa}PsGxa;-
zt_BUvJ*R=)c59%YxdwL7&`@|eJD`0+2kf`L1FDSbfWMU#y{J9*i)fGbi`!%BfcDt_
zt2+ARsH2vjx?<i@$1S?*II+GR8l7*4eO=q3>6CW3s7pJHdZwmuVX5IPXEnStUJdQr
zt6{6EwwRyP7Q>v{D!4aoaa)_V=<}crrX6jA_3PUpVjDc7(gu6nZ;h#Ot#Ot^Yit9p
zv7%LL%qmmGvvI1J>!6CyKozxARdGqV3g#VEL6eOtc!gEawyg@bebfp|lUiZQ=2jSO
z)(Q`GXocsVw#1s$mZ-O*C2qE8iI25fqD@^3e0{D326(i<3A0;Zhh8nP@k4Wbk=-2M
z1~y04Ma^;4z~;E~mok>!QbvhZ#w)9papq`cY*JOmQx!_MD_IHcoRx6)WF@rKR>Cc>
zn_)s`GpzGzhB#mGx_>hq`{f_lh5v*2k^exw;xEK*{|naL|ANVtKQP+<4=h#s183uZ
zL;p#?;o9q8;N|}d90vaam(rh*y7?!x(EbT-SwEn+{SSDn`~w~(eTN3i?_luZ8@Psk
z1LaZQ;P~Sv*y7d%%lkHg%k8glZsS+z*ySsPXMF+w?+dh6`2s&uKZE+5&tU%J6C}ib
zf<BWz!R@ynAw2XWc)&*pd)5dyeHuZ3Xd}cv`~YM2e1PVLAE4pxduZDF9{T9Mhiy0B
z!P^b*z*GAjjLUlqdTZW-ey6u!ez^gHmp8yq^#<_CtcOuc>Y=S#Jt$px16>!t0jo9&
z0?)bEU~K;y?zesoQRiNPtNknRZSxAwov#C>|LS0)nxbdEgmX(@f^Ykm;F|RUqE^0u
zvQ95xNNz2hTvrQIyVgRx>(AkX({uQw`y90HJcC6p&!E8Y8B8s&fv@g0kTbLfPCTuK
z3jx(o3)L{}%~Obrd<sJ+J%yStPvCU?6F55i37k`U0(GYz!|272A+`Nu7?V>4pVn8w
zHJvKBc()Sn?5+f*A(b$<`VkZcKY|5gAA$PE3V3#;0?KArz{}<ppmqKstXlC99%(&<
z)i)o2_KpYeYTyGXe_9UDL&`yYd^ybjdLIgo-G}M6_n}GcK3vHugLtPhNbXYxMHTlz
zJ>VW}7;_Ikd@6;&q*Ac7ErmYnrJ$2v0wcGUz`6k?ko&Y4j6;jzs(CRu{k{uhPTz$A
zEAGPZ?svhq<PIG6yaUbf4!AZJflg8pJX%l$XEcf+`NnOyyz4f+8-5$8{uU(1-GX7(
zx8PyBTX3-8ChXjC6I_gMLin3PxD!_h`Zk3S*1ix7Zrp&oyKg|m$Q!WZ{dL%tbR7=b
zU55u<uEU_>YjDK-8VnnI4W524fMcf%AYe@a1R4}T%Hyl>GW;qiMB{K$RnhbF;pL8e
zNHNKWzz=!gcRUZ`m*zo5&phZ~kqhDbbD`(7T*y_)g+2K>Fn?DL%ovpei$7;WKw383
zU!4u6eX`+v%@vp)a|M)bu0Uz0E09%u8FKwELyh@m=-%QoIOb--^PO4XFggo5HC=-H
zXD&hdhD(q*@DiMVa}jEiE<&GW7s0dFMfmqL6GCG$!OS)j+G=OQ`|=EE2+aWH*%>gr
zLk8@=djV<#F2Is07vNXx3y@ZL9$dW7!{SMbYIz>E7o3Ask8|+D>>SuDpM&bWv*7G@
z78E`#XliyAs&dc3BiA$VaqJn;S2_dh@=ims+i93$b{cAwPeahvQ!sb$DKMFM3I?}2
z1!Hfd!y2D-IBAg%t=p!<uA($(6O;z0W~9M-jWn28b`nN}p9Hi%2@ATOgwU!~s6CVl
zQx~Vg9sN{T@iGOpl2f2&O$y`<N`Xs_C*bzk6Yyp02{3^Z5cKCb{L4KK-g}RO;pF2`
z-S#-77binRXflLbCqqj2WO!7440IBX!H!kO;KRUU;PNpEdR|C^hb~EwJSGW3S|ma6
z%|u8FN`(7!5}|9?MA-5)0ba)^fYa&(=r|++Zhnb}$V>6C(={HPC&h!GT0ES+cN9J!
zI0_c_N8v)BqcHmI5hy!z1U$AM0n4#Rz)<A~bh{e|y~E>R!ooOkF^Gff^|8?JOf1B0
zkA)%QV&T4OECiPvhQ$XC!=%NB!K~k5uxdO6J2MZ#CD%isZgB{<X&i#4M={`kGzLu8
z#=zI%F>vemK{$U+Q9%dcw)H`1(mMzv>!TsyY&3k^84cSeMT1(0XvlaJ1>54IV5&nD
zj5Lh`6QwAyxP1Ve!VkbH`vcH?zyVnMB@$j|N5XdBNYJ&4gi4)AIPoR|g3d*N_nrs{
zw~T;{&JpmwCLBhmhC|f0aA-F^9KzMZ!MHLEY7@gC*)a^<ISe+o4g;t1Q1Cet3TGTb
z;p6B~n9wQ|Qts`CzOnn^{M!9sGipDmx7-gErTgH*;eC+2b|0jT+6OmU?t?G)Lck<0
z1biJr6uWi^IH-oe@A6=XjSq&oj=`WiCK!IJ1;e|_Ao!RZ1ghJDz<6R1Z0r;SdCvl&
z&#6F&*&PUdrv*Ym_dwWE9{{5-20#a&0QfmC0KWAJ0F|%)(7(VR>_Yt^X^B558T-Qq
zC4cx(;s@?=e$a2DA3Pi5r`R|Bz^~dDT+)4E*B)QkKf@O;>H5N#4?Zw1*9YQ4d_dzr
z9|#}j14ha|P<GE70^_~GcC$B(p6Cq&x_HB&S6*P2=>@BOz2K;=7rZm_0?R+1iapp9
zAkGu+IC_H9cu(lp*%KP;_QI{qy>P*AFPvSt7xD-1h1zC&p>vrB%un=yv~3>H+0p}o
zdU$~L2X{D|=MIa*+(BohJG>w54#jHjkXP*n1!vsgk*6E{vvGrw1KnWvKUa8o&lSv)
zTp@eAD@>W@3UBmWVaS_3kQTB>u_x_;jy1dCoA++`Gh{dPsn`V@Tz5fbzg@7hbSHFn
z*$FT8cfy0)JK*)^9nf882W-6I0(Bc*U{^O6Fe%s$>g%_Is`hp;$ae<2b<S|9i!+$!
zZG-!3x554{+rTkzD{Nf16@s<4LUH~U7_xo~q<7r{Gp}t14ad#!smEscT(}7|w`_vB
zy*9yxJ5FHg;sh0ao!~&3BRIP%YLFvDR&Im`-Wy?r$woNyd;`n~*#K>21H5Wj56`34
z!*BETVAA9Ofe8-Ka*hMUC^^8aQ|q9Q{W{QAUk3xOtc3;Z*20PIYeD<=8c1|m12YG#
zfo_$nLD_FLw1(9%xPBElMz4Z<maAa)ua(f4vJz4kt^}`kD`9u`3JBY<0t)q3K(~9#
z!OvqkXqhaB{JLe}e_$CnS}ubvzn4Np+EOTAycC9YS_&!GmVlY_5@;H*1PY)02N@y%
z!PW8q!P}<AV0>aRgfChQoi!H2nF4!Q=WGw-2ik*ajUAYW*}>+?c98vh5%fO22#zgZ
z1e3Zg0_Ea`Q0cJ{ibpMkns*DJUHk%=XR`n<w_5;m)fOH*+d{-(TUhsEKG;RihjlaO
zLqx0jP<7b`Xp;?G>~90JYpkJFq%}O4W(|2Qtf4S#9@IO{gMI_%f!njW&~#ufc+H#(
z!&K+Ow;U^Yw9N`046%auujW9nxH+)FW)4(zm;(!M&W4|Ev*9ev2Jg?aU~B3u*t2{V
z#Out0=MQIs0?-TTmNS7{%!IltGvN5P8Q?W+2JCK_4k3xt;j;a7Q0_JzmfoKRPlKkx
zCW~pH-(ngxWKV^=+o!_q5mVvWhbf?uG6fc_m;yPyrT{&$gt7ycu-D2GrgyLe<01<f
z;$s1mCRo7MW)_fhc{1p4pA3ghCd2Sg=I|`d9FDIw2fu#iu=nL8h&(z8uG&um)t-}J
zMdd_z5;+mp&7BCEohCwg$plCbngB<pPJq-l6QHDUJg9k(hyNyyhr7+kgH^s6d~!8|
z<73Rg`R_QezcLQ&c8-IsI1ZA2j)nIZ$HMgOW8wO!u`uuZ82Fnp2C}z}fe6zv;Pp))
zC_~`nHbuPMRABgbhUiQN?d=R{qZt<bB+$zu_`QRmkqCbMLD0!TuyI8=J`SN{bA<f`
z0R6oH9-0Hhv<7g#JsQ>pj)rYBMnjawXecck1$q&qz{_S7H19qNBA=LoS)3^}Uup_f
zeN5rj>yc2LG7=irkA$AaBVol?6S$UX0=UxzZj3R3HO);F^U(<S<TnB;rjLO89Y;Xj
zgW;fla5zl09}aN_!=cS<WAIBg20ce(C^9jIpr6BFMb0p=+B*zvEQW!T`Y<?BHWca(
z425xaL*cZ+P%wQn1j^Eez~0S6U<wQY!)8N3`}$ze4HyhKdoVa?4~BD32SJC#LEyG_
z5U3gtf`sn_VQ$Vq=<YQTnx+nfx=sV3q0$Ii9yNjytBt^Us1cNY8=#nN2SA?J0I-=p
z09tez0N0-Mhv>xqu-BnKxSRBc@IU?F%C&y*Bd{M>&g%#1I{l#ED?_-DZU{EchR}YT
zAyl?Dgp2q3Lh8Z3aCTW=C?3=o{x$W1|1ossaUnfHy!*cITZhuARGOJ5Nw-3wh$3f&
zUqp!r>AvrXZr!0ADY_{{N{L(*x*bW5oaxse^O@cKeBS5n?wkG2%)Xr+%Vu>ZGg_VD
zUZ>7PDyTE^qw|@T%K6O6!1;`$<$T6aa6Y5;OpP(lS7X-gRbwI+t1%B}RT+&3s!VE{
zDkI^c%9LrTGHbr6FoI1gOkcDL)8wqeT%V`HG`?46UR_sa_)jS_t5+&BMbgTQ@X)+D
z+i)JEaC9EiWIc~LBsz~-*001UlqoR+hm_{}s>G-ZDlw~HC^FGSip;YEiVT`5&dI7G
zWAsdcd03#p9Pw3PV5tJb%csCh^vW~C1@g><uROzRCeHxBJago^9MfJT$1L)bW6I3s
z7-Jzhru&sF6I>?CSR9sRq^xC`zhbh?w>L7(zX};f{<sWd?;yj(%E~YUW73RewKP*3
zHpkaVGXpBpOzdYV#=c34kx!6fX56KiDIF>1$8SkS_<<xtXC)bbZ%O7BNHWUYl1x&s
z1S3`~!4w^mVC=0W7#2whrfpc9$*&S;;=;t4C}(lz^n7vV`ZqCVq*aX3NEc%QcZo6m
zi^Z6=Tw=`gUQx!kM3j*|BFgmGi848|qRi3vB8*p^2(v3rgz?`j!lW$}VeZTdGu++6
z%%=0gOoN{=v&dSQsg@FER*nlXUvCOA<*`D{!OcR9gT4@B%qqkz>=9(JNRU}~Sdcln
zLXfGG7i4%o2{5~w1(?Sv0*uox0cHRMnB#l`jBY<a^P!TTsSV+0&bjc<;mRES;bYEq
z@-emfe9Q-bK1SD$k2x;S#|(VpWgKtwGF|Ds%(mUU4BJv(=9&mE<3G&9Sl{4b)Z=&<
z$*pr_JXhwKYwP1?{4aAe*TT3NwvF7(Ry}T}la-rU*~`VeDCc4VPI57-&RooZCKppS
z!^wm_=4AGja5COOoXmkWoJ_O^Cv)Ww2Q%Kq!7ME1V8V`ZFz=i=n9Uj-%$q;#j9)i9
zBU!@E+zn!9BG$4qE}HC&(LXju`3W1NP|n6I2xeoJuV-WS=&~{A+1QwO&smvem8?u*
zI4dLL&dQuKWMy=CS(*0NEX>hr76#&381|hk%mBl}+!JMCPIS*w?8#ZG)|;h&ul~`F
zn13{a|0ry1hRjdTkgW9#34i-bDg}SZY3*OiV*N{;SN>4U)<2{x@`v6x{iZwne^dRu
z-_-T!7qJBYqE!aJsQS%MT9W*e`j-Esb6<Xtf58vh<NSkyIDb%i^)!9+nx;*%)71Ci
zI|T-PC&Pu`iTlkr`kDNVIIO;r?(|pMU;33gH+>~L!LKyX^o0@+ej#`DFJ$$6ifm)2
z$kS|!@}@r1_rlM#%k?vT=KoBmn<i<4-y|6=m?Z62pU5=v6YaMAM3;X|kl4iuO58d@
z3nVA##r=;|eBvX;8-1k2@egz%`vVQG{Xj-MA1J5cJ<a!fPpz8o>BPW0TATKcmfOE0
zdzN?PQ$0@Q|BVx?+BhA2F-9|qW0Y?*Hn(*$N>DXQT6;&ySap;(z8Im5q!IdTJ3`xM
zhiRgEm{Rr)lat0UX$}mL?CBv=TRlX!TtgJrI7lx825E)<Aa#$urGt5INpIs@VikK!
zpB}uSuc2>9bm<$in|@6hm9L3)_iGAOeNBpe1Jsp1Kv|9h6wEt7$6NX-<#<0eLqBnS
z>7!j2`>4;ekM^qck$B%L>N)+2F06S)nF6n<;NDAW4S7j3OJCCJUoWVp>II?i3+mQ+
zK_O$$$-dw@X?r{;Rr%*+`0N>NN_|FW9iPq3@iW@e)=R@-y%e&%m*C%1;;4H{<A<Np
zknvNRo_a#cl}~8fe^01Z>j`O(_0W~V9&+5?LmbLI)Ybo(sxlu_<;KT!OZqXrd)iH!
zY29>UZ8v=o>8AaUx`;2Ki|ST(Q7C^GZGZ5HHbg(79d?f>g8LCQ-R&gdh)z0W-AP|K
zIw`!hgBFH$&?n0dYGv=B%PkM-TIfT1X!(%-us<a8)^^GaYbOEgc1q=JCxg2WXei<V
zU9^2bu{;kb`2Ky0jk!-39q!Yhz<pZS*+xl;ZN$B%jnc&02%g-d$@F{Fu;Cu%$=;*0
zukKPw_FZcCxJw+WcWLeL9jY$AL;Ab#P=n4L+V-iH<gT>RxL+%^o3v8PuNLa6Z=o+I
zTS&{Yg${AGQ1AWQv@-rSJ#)HEhb3;4?(<vpJ@Xdzc-*49YPYC!teM_lXeN2zX4-1p
zOtn9oNUNcVE}m*4OPeN|<ZGhJM~xJg)<`}Z8)=VHBLxjL(D~8^>hozJZKDQ?|5;BQ
zjrEimT2BjC)YDs`dMbTVN1^BH=-}2mI;2rYaUW}`=4vfXAE_m~WwlhnSxcG^Z&G#2
zP1>;WCJ89tq^F}d=*p!Vl<$9o3YXlVI<^}$a=(Vul55D{wT52ItD!Yx)znu}O~(SN
zNzbgBzHnAkd&hOENxx3jo3B%w`gNL^s3P_1D)K#1MV&TPv`n~)TAp2_O?lUdWA`<>
zwdfip|GrB8Emvtz+*R^(xk?F2SE+vN3e8-;LQY4oP_^Y1(igl!wY`_gHSaR<?72+s
zMwcmXrjnxWRZ>WDB_+C5QiXaYy`HQfwb}{_46C5Gt1HM|wu0UbU81OpOGJT}=&$7^
z>K3|0H(p$vlh2D(zyBh=U@j65*F{><eSxyFE)c8t1v+9h$7jna>p?l$oh~P??d8;~
zS57y6mC=PeWpp{YjP7kNqe-nY(wZ(M|J$Y1olr{4+)AlwK`A+XE1|E=B~%h$LOz>H
z$ZA0e>3%CFja$XED502ExfRn<&0@Ooy@+^PifDII5xv@6L|b%<=*!PSI&-&>R;3k^
z#P&k^s9#7=XA0<1djY*XTR_uZ1*B$DKwCKqsN(T?63jnO$M>I~Thr$$LEt<YyvnD+
zvV1B!l23uQ`LtOopVp4#(T1u#@(InO)U|o^KqZevr*dg`b1ro!=F$p}Tzb4Pm-hb4
zA&Jf$>dele44)i2xHN~{1#@V9e>QEqlubd$v#DfNHVrCflisH+ifYWFuL)VS&m)U|
z>1R<I%iLvf-I??|Ka*MyW>Su2CPhhPQpm_TimN_HMUm&I)Aby2Yo8;hKWC}*;aL*N
zIZKiI&yvvcvs5H@mK=sNh_yO{?nY)%=Ee*<sgpr|GiNB^(HV-$KSSkyXXusn8IqSd
zLwnz!rU&(>2@_A#^=+rg!uT`|aGj>;7wKeqF`WcXrql46bZVcUPPc!gQQLzw>d#Ii
z)&pr|Y?Vfbq|@lm`&63Wm`W+hsU*BBl`=7vOaxNt_3IQmb1j9oM5d6jTMEhOrw~7T
z3JE?-CdCWMWO_20_N+^$;swbx^(Tq!yOQW?VG?NuCefu;No1~?M1#|bl+vC^Yw{9F
z=};p5T9HUYN{RI9YXZG(OQ7lO1d{bjAbYz6idIaZ-Y@ZF*cMM&+3_Ud7f<Kx;%T8$
zJav7Io5QR)GRuu4zC&>|Y#&DtmE-94bS&L{7)#I3$I{Ouv83S`OWW0B>B65FVtX7z
zUZpYg@<a@6a*3gFofryZi=l-tqG_Zun#v=h>G<Yo+H4$64*bz%GZ;mVH=}4*QWQmd
zMNzF;6#bHnBI}7r%59A#uB=Ep<`+pb_K_5)8cABeBdDi4f?~=d$njJJsceiOmPHZt
zktc#i-h|V~8{x!~98M~`!^v@ZIK{|@)8nZyTJRu@qR)rX&!b`Fzb=esbiyc=BaBS?
zLuvGSC>11xl8;v?S(%5Drfew5ehDGz_7GAj3?V!oLhkEBC|*B=+Id1qa_|)WS9glK
z(oT{2zEjj-dx~sTPEr5wU<!T`O!^hU^dT~ss<s8w+$jj!D;Z2z2ToE+%1OFzbCUXg
zpCE<G6Xd_+1dT|ap#2Yzlh~=_)Uo(D<-ZT2gxnxXbq=B{yg@Y9c#KT^k5RVPF;aMa
zl&aE>(oXxMq|0)Y1gisy>%TyfRt+Tc=SS#N!V!9Db%Y%L9Hu8%4$~p;!?bYTVVZp!
zK;v-%^v*JX*!~<M!>fnr=<Y-GQuz?AdG1ed68$OC)}O3r{YbvXk9hX`k>CP9(t3T6
zHlI02rH%)QkLMtTH6I|!zys8<=l})1_ocN3zGUw1OV*OUw5@YLrA6+i0rUN|?DsyZ
zxwemNeD=`?jeS(|#)poc^P!#2KD0~7hl1Mvqw<jdXwvjQvj4G{>aXl2tN-@Wkj7p*
z`*siQ%GyJ=8}^X7*dB81*iHUXyXms!ZepADraiUZ^zM*1omk{eS`%LMzSN6u?ewAw
zWiPtY=SdGTJn5ISCz*+Q(%Ft(#22%Rl5KX89{VnO-L#WRf_73k?W7~qJLuH49hB$0
zgP!Q^Af*r6>3HdO`m$>~1*vT(g}2+NJ7*hZxo@K&xovdd`Bpl1dMjl*Z>27=tt8j&
zL4k=LG_lHq4hwjYRQncs5WR&`?Y7VX?k%+Q?q>Qgd^1H`ZKhiG&BW5;PHrLY)V|!E
zoLJrIU9%gV33j7R=5Dlz#f=o3H<42CCNeVLM4MSQQD*Z-`V_p8T$XR7Zq|*o?Y1j%
zhPqOtr7Oj9xYB=jHqf?+4Yb#G14Z*}pt}3(i8XdTxvgAJ_XXFJ!y^}Zo8&^VYh7rC
zgbT^{IumP#GyU1<OuP!tq%*LNw&ks(^6l%0TYViJ8Cy#;Wos$@zqPbne=V_mSwlTl
zYpC|{8meN}(Crx~8ftbTnJ_2XYU@OGd`_g@=|~ro9cj6XBfXb#q~gBSbSQ5%ZP>Y*
zR%x!L^&eN!!ON@W^!X|p!c~MbD=F{RN|KLQNoDpc$zFIR{p)d{I~fj?yV-$aRUIg1
z%$~9?+S9EA_Vmldo-F^an0sagiA1iTl$9%Jf!GS_d}c>c*>>c-!;Xx!>}dX^Eool2
zC9`9;<h9(E&U4$+WQPqorrFS~O*Uk$Vncmn))Zc0P3DKJNzl}qKC)R;|9vZZlVnBH
z8>~oao)x){T2kR9OJX}@Ne4|W=_|V>MYLOxPO1eBZnB^YsumRSemNbyx}1EEE~j9N
z<#e8JIX!)BPI8&%bYO=$z0fhIb>EiJK>ad07QT$MRxhJ>Qp>3JwHalXno;rrGdjbV
zQ3bmh^*&rmBBz&<o5xbB(OgRNznD@%ohccGo6?ijrW7G#N-GAJkmAK9#1^oGel1%<
ztb9vI?g>LyISifjX6S(-LmD$gsrQIPQ;721iOd%eO-&(Ptw#!rMDkjT<fe$^F%IN^
z4d~nnpsp1_(vm>?-k4DD1ru6**o2;0n2@iK3CX=&OizjyQ|^Jqbad%r^5k7i+n*ZK
zzI<bf^)aR!WK7>VjmhG%5#{9=k<eZviUT8(<1nHdU54bDZAkO?7}6ILL+WBTq{gmA
zRG+<w9_(2}<FJUNI2V!gV*@&$Yd|bM2DFbcppV=J6!=u1qzd$@#aEw#&Gc!dfIexy
zTu2h73rQqkA<0`UBoncPwDpZ1ovYBJp&&gnb<m?iSv^u1*QJ7LU1Gv@>CHM_I<2Zp
zZc{p>->gI8i8{o!MTdCwbV%;6HZ5t_roHF1seHFK{X%Wpz@tsA&$P(AM2p%3v}l)&
z770md(cKYEiodQ&JHj=|&P9_<)ir6^_XV`(&H_4^zJSi}T0n2-f)n()7EoNT2K^}3
zpaX|B=(nu~rO0RyzEh`(o9c8WMxDak)M=NlI=Rfur*)n4X>0C$3i6###mnc@Yq9yH
zF|0;G*VX7vgc_}LRih_bYP92zDzSE`(xn_#^7d7wMHZ^WBcVzYBP#T^Mumo=Rp_gm
z3W+ULp=B&8bo8+@wG=9o++k%pxk8z~$Safor+LJ2YaX3Xoky!Z=MfLhqb~k=R6L+W
zF;|o*C`^ftZBU{pZ6zw0QKW}mio{;1NOp%6Dbrq&{wONa?kNQtX;q;8847dyMu9FY
zQ=l#43Zyh9PakXLsVzaCu56d5QWJT)$R|&Y19CKQRgU;0<;ccOjuQ0cXqa7&Y@f?g
z%|%&Sd`gy@U1Vvawk*y5lcB3UGUQh(L(7lLkiuFS;#eR<zyC<nOqVnX7E6=%F==vk
zlBPIyY3lwhMQUAA6jCHbpN>kAmy;Ats7q1sA4yW~mZXkiNs0`Tq}6LBNmWyl*#Ak;
zRF4FGER&#bCnbn?y#(p#O3+3&2}*k|KIcn_)1q*3N_7(_Rzq<L;t?l~*J6}$U5qGB
zjK;Q$Q9g;0w}=>-j){^&qbTvFixS&^qQqk<O7e1Z8>>?y<k==dIk_S<7$8DMt3@bD
zU4(xB6(-*&!u0imFolE)lcJk2-7yrVKt5rjK_TL-6{3M;A!^wzL{-a$=!&cm)lCUf
z_kBV7nlDHyM+M1ktsv!V3(_|>L0b1pfEup}(Be1&y0KG$Y?lhqprimrf8r<8d;Ih#
zm!Iw);iv31{1mLsPy5*U$-9q__Fd<r-~>L(@#3R4b3Xbf%SX$;@>1MGUK%OlCHs@S
zRO`x1CWgG!$j?h_MtJCRBM)U}@X(rrJS4u7hu*65Q0*)?<-Xvi#B1CX8_!KCUffi)
zoSRzYxoP4%7pZn}(T;L1stn^IZVxWnLtOMioQu|d;-u$ooV2@ulQ>Us(nVKJ@-X5g
zMIlZa9p|9h77jX>!$IMJ9CXZ?gM#!qD4LIh@<-UIwV9p1WU`aaVRqWTmYo{)*hz+$
zolXq1(PR@F?agGPF9B>6ww8@l7P8TOUN#CEVI}4kE3s#@QtuH~s&ZzfYy(zG7GR~M
zaTYq)%0iWSEc7Udg?_oR(89$mv`>_U4!)X2#k5%*SUHPToU@qQ_z&|A|HEp7e>nJV
z2Gt5?FwlJlhb3ol*Q3AqC+aU2Tl_`OzkhH^^&eFCog?i($PE9+ojJd;!1Xu&5c`c=
zJAPq*<S*QB@e8G9e&XYrpIC74Cr0c2#L)2{m{RZqtGE2XPqII7$<t}fPMSvXmD8BR
zJ&j9SzT?!1?|75>j;E);VdT|s7{BiumS}&&r=wp{rr;~?_xOr0<-g*l=U?zs+7~>%
z<_oSB`hu$MQ^*xHh5xLkke_V|b(=opwxG{gPM?wM$0P<+P2%qZlbE7EiDna@@L%~S
zeC+)RYc)RM_2CI@JwJhCTPIL)-UNE}f5bbPAJJsfN34_ii0htxz}fT<*y#KLlf^&a
z;m7asK=OM$;q)GJh2LXO=R1^3c!!5py~81acewN6IR1<s$6SYT+{8bQn(brA8#{(G
z_G8GwKZZ)}qv#Mjim?u(IKV%ORu4z8A#Ma$tQx^_!4W*yIgB2O!)W3(jLM?JsQ7pY
z^-_n>(Rm2NB!}=}?;vVq3}WiWK@^uC#G<~pXrJ>IS+~B$c9pkSGV}&d7rntVUT^S%
z)*I~p@EUn5UZb<`YrJCk8kN5f;Q5*XG&wqeeWnALHrtO|ZujGo@P5>`>qi~_el+Xs
z!yU<ec+R;Ghot+^?A0s0kn;+)x4*(V^;fv%-Afd|^b%kAzQilWFER7y3p`W*0*iuQ
zV5`*&{Lb?NvEw<$B|pb6F3)j~+;jXo@C*|Qo+0D?41elA!+TS`SX$kS=Z^Jaj(IO$
z<Lt$k51yh}(o=MEd5YC?Pf_*F6U;4of(!RP!A^rGcyhW2m)G~8L`V<*vhBf1!5*CM
zd5l8m9wTghj0ZFxWBtc&l)2W8;ep-AZr+V4T-|8c(S<{)U0AfK3y-LDq1*T)bgX=Y
z&H;~b&(cSj%<%}@+B;DswG(%5>cqz?ow)K{2R^&pfd`Ltpptn9zU1z}l1C3Q?94+v
z=<yJJ7d*t1lkJ#O(~g}d+fm4_9X&+avHAG}T$KL+ukC(-)`kyo?Du^<+j1Y><L;xr
z%Y776x{sV=ZOC)E4dnydaG6CL`ti46&69h`pK}lQd)>n!gL~-p`!4=zxr@2+cX8c@
zyC|)47vI0XgB?|Ou=&ItY_Yq8y<&IpS6?gYl(eGHfmUo<(uyivt(el)g5sGiSh%YN
ztqfZ5+wa?W?aplsNxF^O+-{?z#%)|RbqhDu-@?O@x3FOCEgVq1g<9{LF|?`~Cr&n_
zr$aM-l4{0?!6wwJXu_euCM>mX!sDV%xUIhtoy!_={h>zmUfzh&f{l3dMFajUYCxNV
z4On2-fWrI@81t+iB?{~Dl5ah_EUiZYzIuGzTZbhDbr|bghbNZSVK84ECOxag%EDUg
zKTwNu%WBb6pcb27+(fOCo0#u^6E!VvVuSF_x%b{ci3>OI>5&^)WOD;UC2pYaU=99v
zxdsDH)L`PunmM_t!H?tBXi!s)q2bjyysjG8sa9k6=j*t+={o+1zm9qC*Kvc+byWCW
zg`eB1@bQ@{yzN<q&5NtBgQE(^d#<5q!8Noycn#y1U&A*d*U;k4RlHhx6%9^a#roA(
zalO)2{5Nq0s~WE0k@zcUzxfJk>s>*anae2AaT%4eFXLjL%eZOjWsDcRjGg_Js8~^n
zM^9AZ@ajr*pI3>4lNA`yT!GTb6?k`B1%?_{;41bCRDW^_`HL>$zeAUB*5(ol%3PZJ
zHWzVS?L~}<y@-$8FQUrAi+F1G0)FbcfZpdX;Ag)J7;b$5HKi}$^YL;_uPw)|apj0x
z%2Cmv97WjX=t&tW7MCF$DMJtYGE7q_!`@G&sD7&yPo<XPhh3$(9ZPYPuM`jWm!Rb3
z5^N4B!6PmuxKy(Qh5r=er;cKLnOBTGe#Q90rWilU7NfvK5mIvz`lS|Ot!EJmF-5pf
zun1qhDMXj5LhOqyL|?Z;6wxol2DU;x+*^QV<pn5uq5!AX6ySh*0Y3Y69{W4a<LCVI
zC>(Gem)M_2Kc(|{<4ZpB-OESs%zW(GpO5xd`PeCwk6R}4@b|4eEI6Hqu6y%P&O8st
zCGxQ4T`rb4=3;j09C_zr+0tCRC6<e$V>u|@kb}-CIhgI0gI`T^&_yf<TgI|+X+t))
zq-3LucQ$@onvJ>Q*|`2)7Rokd;dojWw(QBma`P<Amde7ckC|9<I};l-GV$%cOcb%s
zL<jjyOqn`|BlpgsRn9rA^go9h4(G5;<s8D#v)J8v77rJlMXjK-IJWjIUe-E`;Vfs-
z^H~P2tH?ly@C<Zx&p;2O3_Qx0f%$LG;FB9?=CJS#x_h0$t7d0VT<Q!4Pn^b|t*0?4
z>ooHFpT=T`)3{RYH2(XYj&+aIF|0ftT|?3lH>IPRVLHn3rK7@N8fw+1p+!m>dhSWX
zbc;0Xl1oFWuc_$Oo{Fsnsi+&2in-3IsHB&QrJSj_bRY%$t5Yy4F$I@-ry%R{6zr5u
z!QwB;7~P(XhYOR@_joe;uTREM{bbDHNygT<N%*}s2^Xa$;SrxCd|;D=3zU;E@mC_U
z^(5lSi;2h`k%;F!5)mm8--;z-`o{!xzMFtbc?tL>Faf*QC19Oi0$%2xqqp%`TNjUy
z(&KS*e>}?B$D`x?cuf2khcBPUq5icvOpK4i-(GQZ_C_2|D#YQ@AF(L>I2J1}#^T1v
zSQOeGi=C#im?0gDK3`&RWk(E}l*XWTXbfs?i9th(L2HQ^+%XxAu@9oLu_zk<1V^K#
zdo-p)G){>{qwA+AynjCmt%{=XL2wjqa*x7q5QQ1yQD{3Ei7f4r*isycNg<Kwy(JRu
znMgE|ibUNn5vbc4flwZSD<dLs@Ae2xGmF4`auLY!BOD!i!ZE8d9Dl@yqq}!Fwp)dx
zl}b3?n+Zebmtpv!It=4d!w`JK@Z-v`Ib9xx{#;>bI~0oZn?sR5I~4y0hT@O)q4>ur
z6nRBMQRPzzTDFJa{?ZUE3J<~I?IEaV9)iJ&A=v->6k0w%h1ag1nzJWP;T7LgXtw$k
zKGive0lcSBc`O*8v<74H`CxPn4xXEzU}QH9#xdDoESo%uXD*z?46l=TQSBu5ygq?~
zStoFl>j|utIDvZI$MIVHaa?JC9Di~h$C{QPj1CUMeM^JT^Y=0ItvQDA{>QLk(J^G1
zJc=$Ck7C2_qlgQR;+^3@+;u(>rMCuRpJE_Zy*h$9XOCd!h9g)mc?2K!97dLu!)W7l
z7;}XVBVR`VM#To8jC}ys@&w?%dxvmw#32;2K7_y658?D}f8+}BN6qE_=+5Gg=bQZS
z_X$7TY37G-W)9-MhJz?{{2(@)9>lP}2j+C(0kjA@fTpGg(C)7<de-}5dXO*nn);&F
z%zjL0*pHki_G7%+eq1oS4||&SVN&ou^jN+R&Dr*$VT%u%g!!O@wGSTT^1%!D{=@H4
z|KS?@|FDt&zqug(z4$O;FZwv`MP;$QINY-bZ>I0TybXIWLv|15zuJxU*}HMvV>ha+
z?nb|1Z+u+rjh4H;@s5u7ocwv=-^*Tj#m@^5n|R^sU!G`E?}_>+J&`Ot(V5c|gWGmt
zL+mc(cie@0#CG9}r#o@u*`4^_eJ92#@5E)pJCLn(2lnpWfpz*j@XFWiSW~kdJCAM0
z>1Eq-A;)$++_nw7;<h2PW*c6Y+=k{aw_;z;R*c%Q6|FV5qS%B7PG0fA{s0erHJ4rV
zJ&OnO-ra&2y9JLpZNWClEvWfwGiKy%Mp@6zSgx}f9j4szZ?!u%1i53Pg*zVLamO8<
zZn!JW4G(W}!?Vh6*gm=m1utzv55G-#i#DMV%O<>jcO%-yZ^U=&He#mSMs$Dcih8B4
zD74=dXBWF7%ghE8Y2APZu^Vvf+6|Z|y8$QPtjE=*>#<?~dRzkQ@%}#-^t$VU5(zHY
z?c##jiY^#9;*2{lIitrRXWYHi8ACap@nXk197$h?dRx|En8rH%@M$e>t67U<C)Z+-
z-P$=Dd@c68Sc9j}uR-s<YjB0}8l)K~q`OXNm*|9^u1=V$;)IXhJEB~bBl;hA#C{t`
zTrc8?120zNp@P*Y@3R`aOjctW%WCv|unKL{Rv~Ozg(jM-(CW)d+*ZF5<0DpLo6|}Z
zm0yXwM;x%L(gAIbI?UmM18xy^K$e&Gc%{%DefQg=8Do#~oc74owE|f(S0In)3Y@oS
z1zP{L!@zrXSf65tf?Mp+N6QXheX~W^W?LMJwZ)(fwm4tS7GHj{!Q5IKJQ!hv>(<(!
zrIHOUe{YSes;$vG#2S-VTVtD?H42Vd;nr(bc>AOk8m_d$%Q9AII%0{vS1j?w2}?9~
zu*6@|miTbk0xw;$z^oG%c-FxJ3uP>@VPrWDUtNx}!OPKo)pEQjw;cJ#%`xD*Ierc?
zpOYDL6jCzBs~?u(j+@I+HF6nFIxoWqs>|@&=eZOQjb?Z$&J3G2nc;w@8S?*FiZ*wa
zVnXUt9NxARZ4H*<jen*H9j4flX^NZom?8(6;!SQ-Jl4Ae9g5~sy7@0bamyvhFSZ0l
z-ZH3mnL*2w3?5j`;KjKkL*G6U+Se0aiX~KZBh1t$)cB3qcpq`cSwyMbh`oqdz=L@F
zIpEGxK-VLH8|?tSWdOs*P4LnU6C8>%L5+<j7@%c>J--&?+~u5Db#5`@-o<!-$zt>p
zSd3!*#`xfpF(#fc#;uOVXr^q8T2n@-a@z<sQjHLI8sUb;Mi|0ngtgBMakkVD*Bmv(
zN(V!fQ#8bsPm55hc@dT*FGA}bi*V9-5f*bT!adIokSRAn=^z7SS#5yR^9=Ckls<B|
z>Z9sueYE%1#}kY`HVNpX!0UzRd1WC!3|)xJ)-S|H&4sw)j~>45(8KUNJv8yt!>`tQ
zSTCc8$scsluTdAbCF`QwPF>s%x_F3B7t{K6u<5c6PKW9svq1-Av~_TFMjKamYvb)g
zZL~O|jhznK=s8at`Mzpl-CZp_a!w1E@6$pl3oZO1sfEMuG_k)y69<zu@yjmFIeSqP
zO@uUY&)@<quU>%DF$-|D#{#@+v;b9k7GQRt2F|~tfi>Y8xPFrcvgm7IHM<5Ld9IE&
zm(+1yh&pm?P{;2&>Nv%sj=!GHN5Kp8Q8#!#Zg8283EK0qYgP@Fo~q&Day9HbsfMdu
z)bPHx8m?hc!{Mi@7<xe!^-ihc(0WxY)Kx`aHdVBHu7WxhDkvAGf)bllP}V>NwYgN#
zrcW7tt}0_*lrj!%QN{&}l`)848T;POL)#nkupwa{F55K^A1;}PJH_T9_d6x5Zc;+u
z(@Jwbff90BDd8JACA>SOh&64BSe2`Y^#O|bXq6&P%vVIIzY1vIqkz%n3fOZ>0W~)&
zV3dIZe&trc-LK{GeYHFWB*>$nr#x0HmB&qz@+dkXhdr%wn3pAoNBrf`ZKWKpm@kLR
z|H`7(6Ion)Q5N@x$zp=LEY=&#;&%aAq!Ag6Y>>e>=`v`wPX@2q$e`{#8NB>M8qK<-
z@mZ-f9y=wCTAQSC&`=tS`K8f+SPEA)NTI=LDOB1og;I7>D61khw{9fStVa^JUX;Z6
za7k?4B8glmiEBkAvFyDB^0i9fp==5K5Fmkjo#t-4(2~Fyb_vw#7stod;uw)6j#hib
zQNT(ZUn`1Z{SPrL=oZ7Y3u2fQE{3N)#ITseuvuITM<zs3qD>T6ofpNVAW`gJFN(&C
zL@}LT6j?__@NlyT{x~Osrw)mrq>~6<(-uKDP7xG*BaHWJg)uQ*7(IN2ksO3kQ9~H{
zS%s0kPY5|{gitg^2p9MWp{<<|9#9j)!heGJ_Jts7UKhl`Btd+#R}jfo5KC1BQTd+$
zo_`^L3$F`cYmxx&_)h=@>;$k$O#p*t`O)GPKZ@1x<Hr<!?AphV4fgz4rNNKa+4!+(
zfDe0W`EcqqAIkXg;R;7S4AtSod)#~|G0cm5n|bkJ7B89v@?yCQFD@|T#R?%_H2c7V
z&+qZzu|giyJjH_pn|UyY;XyBH9;9#FDA~=8zb|p)yBKbK>&1<OR@^wD!i}u6T&UE?
zh1NH@@X%>4tnlN)DJL#mx{wP~_~**woVf8WCq5|PM5|Mr*tUfeT}(OggDfY;{NO;t
zryO&5&Vji}9Jpg22O6y8KrU?#9O34`juCcjYGKFPe0FR+$&T%t+41cXc4U!bN6nvX
zxUrWFQ>)mpH-!yV53u23M>c$_$A+c?Y<TfKE2`gT#gY<MG>l-yyE|ENhb1fWs<Pq@
z7FOK<ng#V6S@35T3qCl;GPj4rg3-i+0WvK3?9(hfxi|}hduD-6YZi>g{y{*|KX|a?
z9~h|qgOWEhV30cl4>r$0fWizIz4{Am=l;T=>tE=R{tLamf8c%k9}sr=1J)9MAin1}
zjHdhsr?tPKUGz7&cK?Fuq+d|v^b2;0`~s7%pCFU;6ZoBeg0RR>nBVmS?2~@LDW@NB
zU*rd<c27fG@-%R-orYAgX)x&d4g;y*A=~*o_(*<-RlVQ9?94YXcl`$IWWPbc%db$L
z`4uMJzk;>WSGe%{3#jIQfwJviVEOzn@P1?p3QDHHXZIA?>P&&*#Anc}{0wy9Gq@Oi
zhLG=*&{Q)Cf=4G|ujwSb`1c81Z+(KX&`%Iy^9f9NKf!eS1l&!SfRZ&6kRdSvXP<q9
z@^c@dee*~7tNannhCe`3$p`qd=L76q_yI<z-ougW??Eo`Jv=mh4+$*qVQcF<u!wpG
z#w*`}iO4&!dom7tGR7gxeH;dq$3cH&43f&mfOX#(gcy#2_>WPzRyPVef=5BkdKA9$
zj>6;45xA8)0?n=?(5W~A9|wm)wsaWQ`wT;Y;V{hp7=pbGLogaL1PAPffL~|`uJ;VW
zzO#b>9)lpPJ_ytA-@?S@x9~OKE$}XV3k%ub!uI=bpeXST{B(H(n-tza``~L>S@s(G
z_P>T>Ca*zjW&lQ82H<MU03@s#fIyi6@O#}4LB;)$=F<;##{Dq$rw>e8`XDBz4<^?1
zfro4#ym|8qd`n+}u<t8qfLCyI_9fWddkM;kFM)T%OJJS%5_ra5fKufPusHkz4lR2D
zHQX<Nr|UU*Wju$cTc5*Pt>@4`^$ZTzJ_F^@XYkD78DvX5gM<CO;8NTRw)^J@dtp6m
zFZexp3c0CI;f4ECP}O(}fs;?*^^GU6F60S3b$9}vl23s1bq`!C?ScIVdw@)PK$NQo
zem;5(6K5a8=N*rMZQ)~3{n-spx4R)Ot{ZyScZ0r4H=O>^1^m@rkPzGj^BlUMQL+p6
zzIg;17aqanp+|7n{1IH>e*`(bosgT~2^If!LOXQAG+QU=cXmL)*$!ym*#Qd;Iw1GY
zLr}W+5Xw^?g4LFX@KNg_od4bqp10Zo;@d%LV>_^`x5K~B4}h!T0VqU20CSfIa6sh&
zT%NcOe{bH0^%3`>aqWFDns*<nKeU0(jW!q#YlFl!ZD6O=20|b1!C=ijXbHOqSJ&Kw
z3Z;8+<HKEebmK033%?5*>+ZrX<-2fo;tmMZ-2uO-J238Y2llAlfnT3nA-%B`mc_Ng
z^u|`GUC;`#-&<f$OAD+|ZUIM+7I4vP0q;MzA?p5ZxPIm~Ozyf3V0;_m*lxq8u3NA<
z_ZGbHxdq!zZ^2K#Tafvp85~NRf#+~DJhpCzGKpr08)|}}t4$DistH1!n&8~LCTRTB
z2$Kzspc~%^0q%{^q0<P9{xrb(2MsXqTmzKtZUA#?fFYg+NPS)pPNnrAd!!yFZR_E&
zbUoY}tAmD`I=CBI2d_5N!OVg>(D_*lo^7>oDWeuxch}CP_o;<W-deDIc@sLyZ-U3M
zoAA%!CX^}Mgl!Wy=0YiN!1sh3@Yv%9)EV4>%d9ux>f;({E~tT*{x!gAQv=4*HQ+a1
z4UIReK`OQyj=ERFd%bG#oV`9b{_7BW{yNO}zYg8j*C9swIyk<o0_D0Yn2D=`u`N~5
zZ%_rV*{WdT$u;0ExdwWH*TBQ!8e}V8gR#l0u=Ms-$W6Nnf?ii4g02F;z*Wc^xB_(L
z3Jiu`fivr`fUDLOQ2%=wW;!p!+x*MW?SC0MY%jx8xyvv<Q3>3)D#0+V5_Wr4!Ud)h
zehF5>y0;Z@qpAY5qAH-+tpXP6SHNwy3fSIz2?Wb8LF@5L5V7VGIICX*y<ZnWtm7iE
z=U;?b|BJxA;v&c?UId!D06XqnfQ+*j=DzU-P`9`M$E7a7oA>45*i;VpQ_EqscR9Q^
zEr(;G<)AuR22X3tAT_ZJ+;^6N0hNJ>P#OFgEQP6>QurEI3M|`8K?X`;i9jjrep><s
z)g>?<TLQSP1X4{(;1_=h?0H)Zqt(UW6ITqg+lnC@ior&(7=8~H!Oa^*5SmZ~t~-kW
znIcdVDFWHiLXfL31dWtJSn6E}Tg(a}MxqdIy)OXvTLs{BrT|KP3V`3L00QL-;LGRp
zaOmE7V9z-ZS^nq2+~GV-s+@<?pZW0LqkLFWoDY)6^WoRJd>Gfxhe6hS7=4}x-z)P#
zI5H26w&cO~#d(k=kOyyuazVc?7ot*f;p6UHa9f@WPh@hz^>Yr4-phfLxjCSEI0w2`
z=RlN34mkYF2ASS$_<SiF9*1W`)8=fbUYrd#1hb)aBnw_PWWk^GEYR4O1#UK3kg1df
zBh#5ck1`>nBokPJGr`|A6TTQ^!cpE#5EwiMrM2h4G4&j<{C5uOtj<BO;yG}dJ`389
z&Vo?sS@;`#7QSsf3)6;YfnDG%$c<#clEw`1Jd**Lz8UaxMFyy;WkA5+Gtl$&3^0{v
z;6l_H(AYl5m(0~A=h{D=hJd!ypmzQ=ygYUqGF?uCr~YYJ!h0IzhSGt(Aswbqr^8p@
zbogzb4t(nAFn=};>|Ufnz_m1}h);vhUTLtzA`Oxh(qM8rb<So;h4u@nU>lJN9a~dj
z^O97UmQ01SpHsl5Jq2cpQlKF?1tQ&2z|ABD<_u1l_c0lS?<E88`D740o(yuX$*{;M
z8P*6T!?AZsP}!OUA9Ity=vWeju1|vgMM+>Tm;{%`6G5#t5ejk>LHAf9G_6krH^W3=
z5lV#0cM0HiCjqqb6X07=0<^g%K(TQG#ET@riI4Gcq%9tf6~;qUa6II=$3p|g!>B|&
z$V|n-x{f$FQx*p!;c;`9PsTx(SsZZ6$H9>wvGA=Y76LEF0(X2Y<m`@xWj3+!PBj*?
zW@Es$F9sBE#=wX47`S~f2F^RiK%8z2oaBvxW24a!+!755dC^dGJR0t7iiS@R4a$<y
z;Pxd7avw#($BR*55fcUZUQxhn9R){Kqu|?YBpmLK1opZ}$jFF<#Q~A<YF#A6EQ$mR
z;kovS2<Uha0ePhn5EKysTX#mlDvJoPRE_|Pf8k)?7Y>_h!@(~j9MS{Aq1ibcz8Z#u
zzGyi3Plmzmjxdn97zT%9!r--c7&zL7L7RFQ*mH!zlfh8%x)loSd7)5pA{3lAhXS8z
zD749iLgKFw*z!CCOlm?v`g91e914Li>q6k8VF*l$hQRO7r$DId6lhnT0>^|?5ae?T
zuC6=<pLI?F@SlQ+_rWl5KN!r)f}uDn7^J;}A;~rv#1;fY7FRHAes~g6V^6{h`;%b6
zcM>x0p8%2Q6L8k<1Q_w0fc|^OAtUlQ?65r!%eaq&?!6$;iVOm<4FVVLAPBp63|b<O
zfw<i<@Z&iKLv2T4XY^6{zTzmH;X4W|+5>?<E)WJ*2Er}DK&a|G0yT+8pxx=nT>p=N
zTF+tdN;?d7E{8!``Y@zF4*<Dy0Z{1{0M3d5!29|Tbmkp`g6)SOYW^WOKI#u4rT%bc
zk3ZDw`oq*GKQOuC2eE#B@OiNx?D}~S-q#+4lgAH&n)yL^#&!@g?;L>rQ3qh1!vU}n
zIshxWeZf7=7fx*Oh0Aij@TGr0Smy7C!kzm;Qgc6~f7l1=mHVLe;6Cs(*$0NdeSoFW
z2L?|0K)baMwDJ1DlaBvjGWkD{TmK(8%l!vA1AF1e`Mu!bwHKc0?1e3#_rSNRJ#a2?
z4>+3b0de*{bC|Xp?#Jzhx;49@UTQZyeB})v^1MOL(;HlMyrJl`7qC`)!GFiRVAR|T
z_H%gw_d`#pNcM!C8$3Zv(Gz9{cfp&|UGR9{F6c4d1w+4g0^6;fU=X<zd{*s*o8mh`
z{N)Y^%G&|oJa@n`y&WL>Z981A-45QTwu83acK9Q-9bP`&25ni};LeV1(51Z%-cM}>
z@ta%0K6vY#d~Ahbp{-!s>j5{iJpgxkz&%|L*!gV>h}3U^2ccUa#bFEV7T*G^Uu_19
zg3VyHck`UDuo?XSxI=!6JM_o8!vbe_IH}+cqr-0CcF7F}4!Oa8GdB?Cc7ujTn;<Y_
z6IgEB1oGOOfbHu>_))hJeur%Y{?!{nTY4jGc;gBwWv=k*peq=fy22SwSKxcJ0b(;Y
zfZX;CP@}T}wtrs_@=fbuFls&2tX&W16xKuRs0+kgc7ZcTUEr#f3%nF^0g)HZ;9TGg
z#Xio!h0fr|<_w=6u7ks8)`8IWb#PU89qjzE7Uthx3sZ4x;o*k0a9wpRT$oq`l{eNv
zbLbj)y?PA@$gKgJ5hqBv>;yx{oWRD`397}Mz<9tBn#vr(^^ha{Gk1h50*-L-`D!pP
zTn!4otAW#WHT>aT4YNI~KqPM!Ec|a3Y{FHL%CQPwbgcy4?3EC|dnNo?yb=P~R>Hqd
z2T03w0PuEzF=GcPWOaajo%UdzX%AZ7_8_;|9%R|<LH*GRFw0s2J9n>uGbStG8T$&D
z-)#pca_nGauN`b8J9x=u2i{L?f$h94l<l{L%}Z@TiQg7JKDU8;#WqmsZv%xEHc%vD
z1J?$uq4T0OOdqudofX#bpR_g9j#z<Yl@$bqSixr}D>yLE3T7uP;cUGnn8#Ye*Nv8N
zP16#Be^|iAyB4r4-2xWvv;YGm3ovD~0O#)I5SX_d%J(maakJ%MD6|}+`_1QY*c{w~
z%;)?SbMTNihi~tfL3-`7Ic#1Ae>X0J+gi&Y?Uxz&-8X|RXU)K6x7ply%wRXK8HB%B
z3YW^3!eHQ1P_v&)^&+<v?!PykvnNa;Kh_lHxtl_nt|=^=Spsi6mOx_85?HZ+35b|4
zfgzD4aQiI-m##8U7|KA2GXvG?40KNu{Jck?bCzJw9)jyj2m}NP_75P;{Z@w!r{?%t
zg#Ggo1g8P!TnF$u3!uLj;IApbQz3xbHzsi5stJ^anZV`sCeW&B0>i%-gK)=Uu*qEv
z(FYd8bIZkGD76?e#*Klm&KM%&jX`9qF%%jagB7PSe12vGCFMr2=eQA|lM#ri8NrY5
zhA`e{2*a6%@Nu6Z%q}+sB}qfD8(#z`>J~v$!XgmZz6f?MUIh1e7J*5h0bH&$0FzJy
zxVPQ_c4!*_|37_b?AC{%B7Lw4)Cc)h`tV0tA4b0|g#NaL@H%TDeDqxi9M%hAf$Tz9
zKcNRnxAfp?x*n+S(Su+!Js1_!1J^NKcv`0mo0D|m^G;nzAYA|<UHCAl1LZY3;2)<0
zE4Jx?mWd8X@aq8I8*Sjft_{*L+OW_=8=Q=_;W)20Tp!SapVzd&CRz(}w`c*Iu@?C9
zYQeh!P4KDGgul_6aN0u?n8lj#j!zQ`-Yfv`>IHyt3qWl90{8(7U`%iU3=V0)*i8-i
zk*EP;o*DqA8sH_S0q4inVXRRdAYC0&_Nv2=<?7%iqYiIB%?Hmr^I<x3J|rES4~tjK
zhv9kiA!k|*ws)w(qCz#`JEjJo)~G?BrW!n*RfXrhsxW#<75;^(g0j0RtTIxCFg{hd
z`&I?SZmNKHk_z1SQUT*-Do`e+0$QJx;o2Q#u+3J6QGaDfT&WBe^Oa%t&pf!-GY`&Q
zm<NYK=YgBsJXmQo4{Z78_>dB~)hU60suG;ps|0r}m0(6*36_0RgxH6Q@U~D9mLFGy
z3oeQ<Z=oV&b18zxYX!JjqX6rZ6kx_%0V<X&z-~DOSol>QX4>VUw@@B#9+!vW_41IV
zKSw-s<+pNBTPp|8Q{{lgM-B{a<Y3=CIjH(63+#_&!To|PG=<56?iN`n09lwXDhn0w
zWx%3U2Hs@LK-6Iwpfxh^O<M+Ta?I5Sq+#m~X|PC<p2Ib1P_vN+Rb^?=`7H%YpGd*R
z3Mn`lB?T4RrC`idY7X0_AYe)o9=1z@PO&7U1xo^#n<RuRmINLVNjURf0u1g*z~fvA
zIB`@0j9et(i@pTZ@<~A4h&XsPi-SX^I8cB%7_1S8MY`g!gj*a|4~ot0?TA5gh8W!P
z6NBHY#lTcs45B#2p#P01EU6cTf-|BZ;U@|St3^RnTNH9QMZx&32=vs8z_APw(DN68
zaYqrjs3QV_+#=vKBn$>k!XTR|4E%?Mfoq*G@aYSK48Jhwj|qWeix3>i6@v0(LNKyH
z2(*laAV5S29)1)Ao%@22S|kV@A%bvXiy*Kr5rlYYK~ViB0L@(j;B`r0ZcPY4m!|-v
zSPH;qWdT?;!w*6)`QckNKMbYv!z*8Y=v&1PquTuNi<=)LM)&}4^TDoMKFAE>gO?lm
zKo$7lpadVZPw|4@BVNe3$O{57yb$HZ3xd|Xkg3WGhAh0$-OmGobv&SbmIsCcc%aCc
z2Yd~Az)FM%ls|C;=R<DzTE-3UBDrCF7dK2=a>J|&H^{JX!(2cX?5O90^mAO$b%YBf
zHgLh##awV*oD0OhaKe!;P8hA=gw64s(6^TpcG`2oH%(56=jMckqa5(Ol>=f5IKVoD
z19-M^K+iG`C{f~o&>42{?qdg+I(D!>#}0OZ?6BIE9X10y_)D=v>UTD%d%^}EuCaky
zDjV!P$Of0zu)#kAHrOD-1~(^JLG2MMq*t(lNCGRQ`mlo1Dpt6n%L*$6SmE;r7RYL6
z0jCQrAP~y}U3*v{+nxmuYO{bNAIqFxoHemXn>EpMo;A^wm^Cqa^3P;-+CP&(=YJ;G
zCH|SPKAkbyoIYc6-(|+cT586myZ5h&&zZj_vaWysXXrY>a(bh9678Xok<w5i6>&&?
zKPgG160%B}WskB&leU)8P8yW<4h>pLLwoN%zRU=J{`Y&H^StZc_ulWm=RNN^zjN+=
zsbRq%dfM`v?1FyNsYAc%gv4*U)bWeF!hTVX#V`84^cQXJou<%d)5LpXnq1_kNo4pZ
z#lQGTre}WAoK-)mo&AF{lYdae<sTHZ_6J2xP0^d|DH^;vMN+IOvikR(@(aI{yz_So
z-TIy6c)wF_#W%9_{zmh5eWO;fZ<N^hmHYy~l8f0_a+Uf@LA_t-b@UgSu>L};l)jMN
z<Y#J6{Y=}hex@?@&$RcyPxQIq6NNf|qW#-Gk&M76`dvLq{r;2GzHgHH7EjW27n>xb
z*tFZ4O^=n>H2P_R3^FF@&5a3SVS+wzPSEMnaT50&r#j<t3Y#}h*IUQvNcb2XI6g*}
zieq$@Jxal8qf~u;lteK~$7YVwyRs2l<2^#jyGMw%aD<vWhsiN&m^4lg(@fQ2YWY4y
zd9Q{j)nSM-^oFQJaEJ!$25DZ<AemSWQkeW8{Tv^lBWVNFd}DwPYYouX*#q>bvY)mE
z^b^maerl5Lr}W`I3Qy{zz^i@ql+{PsTz%A0(Mux!y<~E*mm;NmX~swoolowek!wA4
zc~cMZaraPiRW}`f)J^h-yXnWWZfcz9qIVfxlxNpPrMg|zDcD6^jh(b1tdnk@?4)w#
zPFnt>g97q9NXWH=9vOF#(!vg^>1ij&xOUREX(tiQb{gkur^d=Qs(RE$^%iY3yu6M0
zzO<71t5&+|+)9NzTWOJaD>-zx(A0|-x^B}#JggRqncYGrHO<5y)J(O<nkjZwGr9d}
zq8o)xbj_oQ9QQU+uv8Ph9ciSgv_{%+r;+Y&YovbBMl$SZppw`IGPvA8U78JK&)q=E
zwe>U-QctN?_2jyyp3eSPN9JX9WaeK-)`#oJL9vdWf2*bT{90P#QA=k{YpG1SmR3)E
zr03ZmNy+&my)pVohZcV%?x7kgNUfoJcWUUs_8L;3UqkY})g+x*O^P?G30telQnZ>L
zbXHMCToui|Rz;_Es;E-9idgNHl>5Arwp^*Cw#}7vSE!Oy+ddFG_5<bEejwk?ALy#k
z2eNLfAgkvUWOJp0JhUq)S-66F+sjEhuAI(YE2okz<+M_?oI<<alSIOMdVcdgX>EH?
z1M}X~<GwQ5n^Hzg@0QU|gEDGgR7RD<rBsnwN)67XG;UH#BGRR#HCaM-Z%U}dql6?5
zme8H$B{VTrOxDH4^vS=NoR1dMvem^@`>%*RtBS}Zw20)+7ST+NB4YCv(O~mC8jXEN
zzplO`@vZMjYu-D$(*KsS(%#Z6r?+Hb@|H@Z-;(<0Ldq^EBpshZYPBe&J1T{w{I7sU
zs|qMJtbp#FFQAhspxr_RWYC#UyAt#1=$(AJYnV^ZCG)9+okx=Sd35GM9u-;Sk)moI
z1##q&_{TRC@$?O?yZnY4wcn7F*c;O9e@!zoUQ?~hYf3VGO-~eFljqM@<oW&;Jqdb6
z$!A_sz2+<85_(0Ox^n4WaxS$v<PsD7NzdeRY2j231()WKVqgxvJ)J{VnmM#UD2M91
zvMD4bn=U$KlhNL6+Nh9CtEaO_ts;vyhi1{i3t4n`a~36wWzqORCaulRr2FofG-#Gd
z#wwXqG9#1p>NBW5CWFr2$RJ^Z49b(tpzEL02}S87{5YM)PNh?wW;&G!r&CdH8dYVa
zQJ-rX%`{6R6_qqP$(csa8&YZNc`6y*PNg)XRFaWRrO>Gqk}Xf6^w1PCzLY{gwxrOD
z1u0}To=mC*$;1_qOnp|#RH>0nZ-p7^OQOoGB<k}>qFI(nv}SD*o#siRg!V-Got#K}
zToNh!Kq4t9C(={SM3Qexpv?FLGPX~k?|Tv`S}}nv|Gp&ox|j4L_9fNbeo48zUeZhX
zm-PI1JSEk{Q(<&Gb>57p*~am-VOcy~`4vZRs^dr`I*!iWjH3plING)>j!J&LAj6s$
z)D!)J?%sMq3cFrVtNaUk^5;2O);=e-=g&#x&U5;?`#Fs%KBwV-vGl1SmN;L=l9XdC
zZQUPB*Og-_gDaN)w8oHON({x_k0Fu6G32l|hW_xykYi6YiDpMrf_F5ToQNh)&1iZp
z8cp^iQDjsQMav&Y5&!upn%)vcpBG2b*DueAqx>0(KYd0Uu0NyWM$afn{u#CY7fEsr
zk#yr_BsDul(&j^vl)fgCR`W$tPR~=?k@J*>e4dh*^;2SLJ*6MwPwDk!1bLK3(DCpH
z(z_NxYmFjkr9uQL{R^k{P2psa6i#REhf{z>IF+ssCoYk2+A$nPAq8Rd<4G8qT?(TL
z{V>`h6Go-KLTOK3D2>I3lBaVhtv3&)@pYjTClpGTheBveK?p4k458VVLuhJy2z`<b
zp|5{}iK8)?#FK()gKIDyJrYchHU?9@STIRU1kt&YASw$FqE$D7D8wX)<|+lzqgg>D
z(-lZr*@0y07fAok1X7A_Af1y6B(>=$#98-*+Fm}PH}{^<3(F@Iw($vt&V52L?8n6H
z2}bpik7@e$V_LrNF<GvDOp*MLX=30JX%{@Ah@eNrbLA1;FnUB^6(7+xu1Cbx^^k&d
z9+F1DL+U^OkRIzlq}_54Y2m*B8g2=og7g52d=Nlhrvu1AH-PRg4WN6!{pnGoKP9F3
zQ>~{z{k8HZH64GtB<W8%(|*L);77-k{ixK#kJPOE=!Lc)EtmA8<Y`~p+~7-X$-Z>Q
z)0b9S`%;gNFGWcClJ##N=H*2n5=--;DQ_R@J?%qHTYacO#)sPfKA`c|2Q(||0WJ4`
zKzlAcAh#V4s8rzr335Fkvu<xnf9*~40=?<(6>s{o%bU(Cd(&4wZ*my&q6I}>lpWzk
zN9?>v?4TD_k{9`id6C&CPg-5+Ny2fSG<DCD299}Bhn6RGF7c${Umo<k$%E!+c+f^a
z53;)8L7@g7)TZb`GTa_?x!;}23*BjDxH~<(?M^%g-N|XaJ8{o*r+_bRq*&udr3r3y
z&clr)PPtM2RyPWeb0c$3H&X6)C7wK28Vh!%#v86wzR#6P*11xJm@74ZzEAAx`y`Nf
zpVU0>)6vuSDQMe$W?tSW*;)6=w(lNQ72YG&h<g-#=N<`}-y=7TdnCB%9tHk%A>}3)
zs>pDmivcbqY2!lmyIjam)rAfSyU=pBGyVJEOkMHLRO;?bS*M&Sd7Cq(C^%E@Y-jo~
z;6#H(PQ(-CL~ER!=)_ScirDN#eM_B4nZt=3x*Vw^&yhBVIZ}e1BT1V(Qm7`AN;p#D
zZwJz8bD-{A2XYB=pfxugXy||gMX5W`sf7+i)Al6LVo#&l_Ehu4p7O5SQ~G{;O5I>j
z*$eE+^YdNGPPt3pF5M-qHFqiG%N^oLyF<=4cSvOI9g6>EN2VEeH0P=vwUZrX{kTn$
z*|#b5#%+q-c$*4;-=eYCw`kd&TXcTYEh^=>MXGOa(hH}Xv|9Hjy`O!PE|uM&<?c6V
za>orS7Q8|6)z|5%?{$jVeVty-yG~tA*GMer8kw41qZg9bh`;A5**&{Te@|Q`@8wrX
zdF%>xBwV48i&yBh+7;59vZb{-wxoL7mNYimk}0Px*%#YTj;jsLFtDNh!Zws&dzscf
zx=gtTE|cMs%k;VX5<QE$L?^5-5h-1w`JXP*tn`aC^ZG?bXS+yB92aR{(FO8#y+Ex7
z7ii6#3l!LJo`i$WQ^4W#v|RQ)l@FbxTQAR%#-($_N9Pz`JxdMwXX&H!S!&ZiOW%af
zl0^L(+8ua?o*X_y<FaSSXyh~%B%UTM+tXC7ewxnyJ4FkMPf?xwDGD(@MYi)#(ZP0W
zGK#b&6KiWau53*%->fJ-*NVQ_TM_iE=!u{e&8R;~*Mm;dU(1u^r*M+iu}{!o`U#4@
zb%JcPPmmGs2~w{)PHP??C-uX}$#B_mx-@=_o~0e5zMIErwe~Uc;yp$`YL3#yCr9ar
z#ZmH9I7%v$N2ojV2!-D{LT9%gAw8iZq}pgn%fl>5`J^RjD_hd>DGLh7v!L3079?q8
zLD$4BsI%)Z?S6ik8ZRCuEA_)PoAWTGm7CLfe{))IW=?|3%<1!l8TDl{bk~eNZ!;qS
zQ8QZCc8JbK9io(ThiE3_tvbeWh(5kQNCy4~sln_Zos~aGBA*V>+nfXB;B<ftcOD=`
z@dGrcXFqYr?<c-1`)To}{iM#jpH9^6qp;9@G+?!l)Yt5zpg*R>TWU%!zNRE>W=b*g
zrnLR@Ui$NDFTJ|Amt1%4rK1viNq=Y$u~PTYCc8akxNQ%e7TZJqox7?0#cmS1vYRZl
zcGDaF-L$;Pgq}v4kivNr%2hX^gR@MC`{OPu4B17l*1O1T?Ji<*?4p$)j7i~%F{vIm
zrmd>Rbn1^01(q36Lx2%U9x)=@RYue_ZAf}0hE(KdNQM@MG_cZ;+<xw)jm10Zhwn}*
zJiL>htlUYre;UxaVgowuXF#?V2IQe+KuOa(sH<cLNd)YmlSg*Y8|59e^v`zkdB2?m
zA8)5e$G4Nxn(b8ePoL~6^+`QgpJtrWr$*AJEG~VDuH8oA5!)!{{5Hzb+(s>Y+h|sc
z9wAnboUZ6mgN`1liRw{U_g0#hw3VLNZKdS~Td8Q#RysSPOVZi8)O$~tlJ@G7o189P
z__~FTyxl^UzFX*w<rZ>O*+S8Ob*Q0IhvtOp(1Ei$l%SzQg8VvkvsIhEzR;%YH?)aY
zUz=hUXp_<KX5z};OvU#%li$A0bVgw_8UN5C?NTk$daOm;t+dE;y%srgYf*C3CK`#|
zM9SAU(cNvEsC~gE(j5Wi=72QZL1hO)M^=Jn|6x()2NqopWzj}v`*@*EEMg0@sHIzz
zYEm?*&QX(kcWcrgIZcw8(x5%18szsxgW67MkgA3T`3h*ze;pg?O43F~WNsu^lZ_-R
zw~^j|SEpO0>ZBg1PMl}dnH_Z1DN9J5o^@}apwtbFUA=+gO*c?66K*>CYdtNlTu=ML
z*HieV_4Gw&J?)ymo?Z<TslFmg@gibb64kFEx;BewS@SyTj9W*~?ADQu@j5b;T}SJt
z){?^ewImm^mXt26B`xi>WHE0oxeco^wz3-i^H!rBN7X2Dof>iRs?nwPH8hg6hR!*y
zp+BZ;=+TNbr15t(jeT5AG103Ty?ZsWcCMy{(yNK%yDEJtQ>DoeRr+yJmH2d3Y577`
z+BKm<E`=&o^iYL_POH!{sL(r66;d8jrl?oSB<G_{Nyn8*S6!I~1(nIKcNOVpts;KU
zRn%m;iW1kYA|Jk0WY?ucw&_ZA)lG?<4l7Zxni9R?QKHd~l_Zn4l1{j;q*U{j#HY5B
z&hf0I){YfqlD2~CU02YN!z*Z7Z3PAMuApsQiu5mCkqX@v$=gzqPLLw$2`G|U?{Zp^
zy_{BhGeG<C<+O9-ayl=voB{_GsQR@63HvM1fl~^UxJiKo=PS^)ad{ehD^I5a<>|`>
zd2-n*Pclp7sr>6Qx?R4EHauNM|E?{g8pCB2zib)#{*fbxIyt%(Cr5W3<j8x!9L1{0
zQTc2+`q3dvDjBkL$y1iz9Frw64Oy}gm8Fgm8QN7S!>p|`bl{>4jqAyfo0JTx{*b1g
zDrpLdk)|Veq)F9Ons}9^X?&J6wR9|{nvA9N(Q7HSpIAztSxZS|{!&tBOVQa9DS8nm
zMW3!p(Pkql3Q>@v85~k{v00Kvk|pVkn<V`>B1v8wC25tIBsGmKA&;UZv@LWA313}8
z-G)o(mBJE=;8;T5EfRDuRf1eSBq-px1ifHMP}zJ5`aHRq<lZkP%gDtPb89h8?O9Al
z%8MzLdofA%ETV_Gi)dcJA__aVh*s+@qN=5f$oAJllB-|HtiuZ_;{HN9dt@PLYb+$`
zc?*eeasmBUwt%K17tp`k3rJ|+0+L_7fVS~3Ae#YkdY&&%gMs3tY%9*#x8l^gT%0gd
zoZ>s?lT7w}iu9XLE6>fRJiYmJP-Z^;`!kOco95BU)On=fHIKen&7%_SdGu__JaYdz
zmu}Y0C7Z;#bj58hIUJu$k2cMv^hI;2?YkK9e-tC#mty34UySOHijgA3=>9@6Vt*5*
z!!@GR94|_T?u!!hZ34OtQChS}lnTGkp-Ug<(29gPH10ZwvX0Lo53M<5Eis1-e~J*R
zUWC>qix7E=ke0Ow?cO3n7nX`pz#n0H+bm4e>B6M$D@=~(gsEO%m{jD2$)8i0IJ$)B
z>MJ4o_E?B+*$NT=E+L9qB}7~Kgy{32AVs|sB+CdvT4pCmUk?aUISJAWF+uYEBtVXp
z0(3i0fbQHEAh+WJ6uMb}awP?*>o-3Mw(!%IOn!3m=ckH`{3Kz>Pghp*QxgwAX%F&I
z#ydV*{gg@X@R7C|A2qA<(N%FiTJoKjKGgD(b22aKdh?RdSzhYa=cQZ)UJ9MXORjx9
zbi0s;u7~rGogELkAL5}1bsowS=b?e`+%&hIn|7pflZOvC)t%=ixt-i(x00JWdAVuZ
z@NCL0nN91WXH&M*Y|=S8o0_y{la17D68}4kirQz<jaQ7&3z|iLuFqn0?^(pb{6tTW
zZLAeOqp^c0S)=UGs0KERYHCA8^Pil7rqg$8O?H!`rr-)+&1ILuHCYJ>nr5A^G~Kz%
zH7li>HI-BcHIvqT(^OtCgC!}#!;0e+W;IUEV?{SfuomaavNRsAVDVg7&APvN11pzV
z5TYA(Svvv^SjnclSxrI*Sw)4GteY3CSbxONvkYI^vTP3AVy&OHXUXU|vu?THXKkr=
zXWgCS%~Iaw%QEo}U`>=gW^v32W_eK<>(QyFtR+EFEZMSH){C!ktQ3hv7E33EWn`7k
z8g|WM@jcIFWfr|*u{#S`X;bf5+ybSnamjMlF_lWzc~%WeNWYGyYtqP?cc6uJ*SwwO
zY|+J%x9DYAnGLYE?HguQ7>%($>#|v|)jzY8SAJt{Tl9m)&;5&a<MSVuf6G5sqQwlH
z{>X{Ho4If{Wfsz<xY6jzgZiJmNIb@m6O{t^wN41<LWPk(a}GXRi-N0C3_n%op~`nY
z?tc-7oXJ8&CoclOkOWLmFM(^ZB%VqwMdWp9c+|+?u!0;G*)2oiM|tdCwj8zB6v2AG
z0*@9dp~HF=#IlsJflC#J#;dU>cnu5&)IiGXAa<3||C$Ly;Z(;ly^Rp_&_GV5CQOBa
zF{4em{y+==DmUXUzYc!sZNWt+UG%)!3Zox-$W_sYjMa9yh3>#)tpWCM8zOh35v0!<
z!!2wVzE+vQ^6zeZRN9NJ2Tf6MZyz?L?nhDk0T|Cdgg#|6+%YwWjNM^WM_S-ssU`Hr
zjzCQ47{*kNquTfc3ND^R{sSv~NU+9m`6-AEorWRjSp-R(!;f|6ankSthE80>t=pF%
z>vtJlF*ZofwZ-GgD+uViir7!r@R8#N#6)i5yyPwPuDs2>$!CZ8TkfFQ@GcH1*`qnx
z9(`*aa68)pQ5udol;?;@Ehk)m>x51nXVe!t<B+ZkY>HhVp?eReMfV`1b07AF_i=HP
zE55vT1@}fbBxSl`bd5W565S!O!UJN_9te~2L|&jLY{b0q#?uR-v%Dd8#~V^p-Y7ix
z0Mq>sP<F@%%C$aF+UASGH@;x6@k3gyALdB-gWJa+k7foS|7rjnMgq`r=ppJVAL7`i
zNAOC11QY4UNcDY;gc(n;<<b*e>wbc*MuA9q6NsFZK`;*tLfGtJ*x3YQx+@rB1|g`(
z3W2n2DCT>IBJO7>I*x`R=|dQnQaDzJhohG}0%{i{u&g-(*_)nXJmx711tYQEHWEgy
zk>J&Oh7-}xaEvbsTo<CStu6{G>!Xnq6pf+(nA9=`D(_;TzbqEq_hWH-I2M=npF=9{
zIWF_P!0FR3z*GJL28wZ5?;3})!8mZ}#-l4T9w#_n!r%NQPUXJD(EJ1l+9aT@Dgh=d
z5^>2T5$fHEVB$eh5|9KBb`ryr$q;**jK=9?Y%xiJSzHRFI8)($AQjJ(Q*oX<4PEAG
z_%AIDrM&52S){`<JsqmN8AveCKvPNvl4fOM-GNM4zs$t;f0=0Am4$^-S(rVQg-E?@
zOgzcP@JKfNHs)a5JqJ^*IY?fSi^Vr{LGN?Hx!@J<o_vLb^jGlWd<{wC*EkaT8m6PK
z@gKdxKBqT0R{aJti}Mh0G7mW^dGPy_2T8qr9QMtJNn1XC$rZr#d;zSo3b2Z!5V6||
z(d1Kz*Ug16UHTR=R&Vh#@hz;szeTIYJ8(L_Lr>{DToWupkx3EC9v8u>y$DlFi?Q@X
zF*sioBV@c7lPV?nb-4t2870{GvxM0tpcIF1mtuBaDXjjL!cnUX`y9$JSXc%X&i7E$
zevi)%?{T{DJ;FH3;kBt8>+h5!^mRG%ew8D5Lj~4et$<rv1%f|S;MA%Q_;%_8G-5tr
zQ||}NkgSCLfl9m%s6=LUCC>9zp?^yi7Tm1@e@+!%f2o3!QZ){psD^%6HKrP?aa6bl
z-g-5-akmC?Sv7dTu0igykBBz=h+Y04k@x;1#{PXo%eq>)o~gxjL@ib})<TNE4h@^?
zU|?H^d(Z3O*j@)Mk$M#B)Pw6<J^144QP*A%3*iPNZEnC@n+60%H(+g31N?Xzk)hs*
zkkgIO3vNVKMI*+3H==)K6Cw{aVVOr0&gVAa_DB<q7c^sJYcsZ8X~wx{%{cI}8T|j6
z;iS}pw+C8KcCQ5w(^{a|-2!KURxn>kfY0$(Z1!nI?yFY(9&81dXd4<d+i=0E4Ih2m
z@aI(<J`J=XLAV`i>g{km+KwQPcHB;HheAg?LS}WKZB+;Q_jVx5t^<3bJMj8L2iRXb
zFt(@@X`4H-)w&Z=-kqpS@5I~IPB?OOK}fy}CwFwg{bCnxKI~$QuP)?uc0p`rH`Xe2
zLuN-eI?i|FgkLvuGrG~<+>H;vyWu9;gSne~aPC+S0$h6F7TW`Z_dVzs?Ey=m7iU)W
z!rHJGYcKSo>On6yB=_P{O)qYI>V>gLAAYFx;k;2F($Dvy+^Y}CFZ*Cs(FgWOA9Q*8
zaZbJ;C${uM`Dj1N?)F11v>z98`(fAA53_Im5STLn?^Ofn)gJ)Q$pLUU4xl`A04H+>
zP+vcQd7lQboPUt{e}gF18pQ5HgGjwHi2etI7<n;>x9<jVzGD#VsX=Iq4B?dG5RPjP
zVeO$IG}{cp*mDRWQA2q1dI)LtL$Dhkf&|wvd=?L*Wz8^t>JMYwau^xchOx(c81JKo
zA@*t*Y9EK8I5dp!e}?f`bOa*HM_|Dkfs4rq9IQsL=k^Hx`i$Ui^az@AMlic-1OmMy
z82vtiaNbcUEg6Nc>L@C8M$u!+q^Fqj?NKN{7{#-vqxh6Iiuom@nAbdt@sUx4{2s+J
z!7<#I9K&0cF*Iq7p?KFAJdciHmCYEQJB{Iw{}@(8jbTmt80Hp@p{8yOR()e={xSwR
z&T(v?Gmafg$DyDyjt<s1&Kr!Q_24*UPK`tN+BkGv#<9eI9JLYSIF>k$npfjk@O~Vc
zjSTfM`A_5c_-7m^c_+{`Zvx9?CSasI0n?2W*tm59zjsX_(0l@OPfg&g?F63Qoj{uV
z1fD&dz{Q9OERLT*RK^7O3z+lDCvd5rq0R{y4^Kew%LJbPo`B3OHf{>Bks{7U$x=3Q
z71{7w!^S2JHfnU(&@y1-!5%j9%-HyFoM}JH#(i5h*4}2L(20#z9&Ft3V<S3{jnoJ>
z!eiMuo5;q(3^rn4u`%y08^_Do2&iHss-BI9t!!9zv$1H9jl?lF<UX@;Yl@Au-)vNJ
zOrmVoB%=8yaZGp;Gv`jiWx*syBqpIEJ&AqGCUHb@5{9cLv1Iims@6{8=!QwOXiQ?w
zrb(RFo`jd~Bpz&=gzb(=Xc|sp$aoT0c28n(?<6$#Pr~LP({45i@57V0WI2fqM<>yD
zY!a7GOk&_9bB^^SuAQ31qtlZJIx`8!v&{9*P2wLz56@3R_yThshEf@7V`zk-c81a!
zy2Q|2hC-O*co{Nd&Iw@7Pi6YaWcrI>`n|~Xzszb9h0OJIj!z<<x&AbBAFC`TvCVuE
z`iCa5`T%o1Q>M>7lQ1@!M4b_HUppt^xqTAv^d`}}WfH@iC((dOykP$O3FaB_teb>C
z^Gs$bPr_owB%aDoqFjc#N6AUlFPcQg{7KvqWuBuD^Ne{Xv3(ZPKl8k~|FEI`gN>74
z*tk5wjLk3`x_xZ$cQRw$%!WxFo6&RFU@>Fp!;IyJ*KB;rWMf7O8`E)Yv_-KI6UN4&
zCv5!kWy6u-hi}eo7~f&z(KUvrF0#>mijDrGY}6iNBaY#vb32*w-^%bD*ic)~@Qex@
zQwnTsVEFI&0)`(%*s$Ya<1`0zZ$Bq6>l4G*LlZFQnm|qC1hlFq5L`Tgp4Sr)OP_!$
z!{_Re6HpGEfRN7wTJKH3&u#+5%!!iI6VN^~fw+AW_`7og*fN3B%=~duoq((S1a3%7
zV4vs&q<JRL{NFfkeH{n?$T(a($ML0Z9Qw?B^vWAYUfMX?pO0fGbR1oN<0!g6jz_o0
zVR~sCGf$2ql$qDdjK&e9Gmih(kHb)D9G=YF&z{T7Zysje|6%0Ar!l1WkKtbP7`A>G
z!?*k~_@s?tQS2D}gU0a7YYfH?V+gPvL#fpmh7XS6=gu)qF|wymZ4CMHV{l(MhAjeP
znD{#im(QaR=pTh+<0yv8MxpU)6n7FvkrF<NI^R+BJB?!C$|xGFMv-xVIey0|wy;L=
zRe2PCOGhCsI*Ra_qYz|d<e9+{<TQ=oN7)GEb4Q>X&&bq}5$yIFfzF)~$X*!1SBnv(
z8;{_`<`HnO89|`T2qeTt;4^as-@guHdp{$`>xWTVG>pmgVemu`L-gS=1YL$PZ99yn
z<HLyAGmMj4h9SOo7`d{;Fccd`J?AiXd>KM|&k%$@4&h+I5S}Crp)70&BVI%Jb9)Fg
z&JN+{!6EeM58?HOA-E|FVcYy6Omht(^y?thdI#~UW)SQ02N9Vth#4Ww+T=cn$JYl@
zb#f3t_6$NyXAm;02O%dlhy{X!`1fl7EyDwdX=K*7q5&*S9YB8g0QP$gp#SCoj#&?&
zaqj>$bq4TIm01&)3_yl|0DFJ-<Mu#59@X|ED!(5wFZ&T3*bnD>{WxONkJXm__-@dT
z1oeI#VAk7d(SCUS>%+Y9KKM5GVMcKuPNekVO=utZ-21TOY9H*6_ThzLA4)g&p+&wA
z-J*SH``e3((Ox7q_QLgTFH94Au^^}y)h@lbb*UE;=DkSS)(efby~vg7g))CH9#8e)
zdruFxRrbI)y9d?JdcgUh2P<y&K<`8k4jT91s74Pg<$JJuP7gHxbYtOAHzq!IBlC4P
zuEcgjk<m%&Zg<1RsvEo}-3ZX^#ym!6@to6*>EB&28|*?xO&7RcbwNM63(gOi@{KNZ
z9P7gGom~*#(1nFEU05X0g*j85_}kTq-uIn&oz@Aj&`#{R-wDx6ohUijiA!5LA*S4k
zc=1kboY9Gb(GIZcI~cpE0}`<vu=D9a!;KEe9qYhpgAT;5>p;6?2Y7fou<~;|bX(hD
z`mP-oFBy8s<nOd&i&Z;T7`KC)(dXKw+wq*Q9cRC`L7}}3twn8cNnrAi+E93>4Z9gV
zu-&K)<{R43xU>y=ylqJS+=@A^tvLO*6|dqLozcG)y0=<!=U6L}cC?~dtrgRYTOrET
z3c2wXDA%_@^>quQ3$$Q~XA5|2TQGiz(MNS!5W2Djr^T4|-_2n6HY2*c8GBNj@h7ku
zp$^SVuy!-v8#8qqn$axPjJ@2=s9-l?V<V&gzG(tybQ2DFHX+fb3BL|DVUu<f>=c`j
zF4BblAB_;~YJ_S@BMcH6aU`G-7j8A;+R;W_*KdT4Y9p+~8?ona12hI2u=qm*zNa?e
zeP9C~**C!4ssT$38_=}20UnDRpw8KV?%{ekRM$fyvmPlS_0V#v$NN+DFfe9PV#-UH
z`k74oXdN7C>d>88$9!nG4xUbRXgO5}Y2!K^qdJ63Fg5{a9cGWzVs&*bOfzb6HMkZ&
z4z-B3szv(FTI8wK;_bp(6f!nN?!ZSRR(wQg%17LL{1K<^K0^Q4N66@Z#FX+!6wm#L
z2fu2tr@IDXB{iswuYsd)4c1(%L5EoloU|F6WqAz>1Z%MGYc)oit8p!_8XQs8aCWQ4
z%nQ}9+f$7%>eV<VRgG${YA}IC2&}HckMt@S2UQ{ZZWX>Cufpc-Rd7|QLdD!F@cycV
zPFE$a7ggfLi%K+lSK_ZtC1e=eN*k3hm#u^?PbKb8d|>3k2Sj9jKupL7Ja=HylT3LB
zQ?L2~uJb<N>aPk|c2!_&Q3aO2sK9LR3UpttK<2&*xN26wRJsC7XIEfov>b8O<v5jI
z4!OW`wA+=#=V&>!^vW@@vK)^@%AxW7Jvv(6<5u2#%zySC3HRS)^V#?KX#5_B*S*Kk
z!uL4$w+xfLWjJ42hSB&k9Q7$flWiIF50oLBRR&p^GI-1`!>7?wm{gY{Ijt1@PfBr&
zu}iZpOTnjGiUW$Jh!!jb`*R7_HkRO8ZV9r&O7P9G1j<$=II*JyfsAciE>?o+AH`VK
zUJS#6V%SC%<FRWovd<Qy(YP3&*A|0sA!8H&R|K`5B5Wxxg2{^_n0poB<fS5<-CKl<
z>P5J;gh^*G<$-rN`TiZu6W+nZ_Z@VvykoF|caUYhgRt~F{N#FvuHm;R`oP%a$!~El
z;4O|{e+w<Mw^*q47N2C_qL}+Fo{SaZRCOUXq!nV;<3iNjEX0$;g*dET2pRc8^z#-X
zYN7zgJ{DkUMgiKM6d>Ss0d`mxfMZJm(i94CoWB5KlldsD&BwXSe253-Bi}9`Cy(TV
zUpF6#%kyC*kdMj9Jb2aRK`|>2ML~HmzmtdWNAlpIn}?-}c}Nq;gYKs{XsCOG<5_R;
zIp_`S?z{o_(KqnXeFJgDHwYDA@QF{a5ncBh3R$o5Jcvo}Fy$k!A*1^mq03)GT;Mf)
zCSQT4j=?)JU*TKeD_GmTLYw6)?A-DSc?z$Xwcr&(*}34a&Be8hT=YK4g~9DyWLV^4
ziB2w@<#RF0n+v0f9HiIeU_p8gZavOH$ITqza1O#Y=iooN930}wLC#n<=2vIqa%wgz
zA7(@0Mm8MGveCLJ8*5~<;XXSXJtJ9IUzx>VVOi+)&jMY`g8RWN#_q{tboVScaAl!(
zC=;?3nXpOB#5><ih+fIWk^PxS(#XVrk__g<nTf{(8R##|fa=Q(+<uUO(#shTHO+vz
zdIn-8GVu9dIyCyy;arlA$`|RF@0AXVi|L5nosLOL$NEL-xcgrkO1je^Sd@l6v1tf)
zPebpyG$`&$!^O2}$P`b*pI@oa?o5SiVJfPkQZd&x6$j6xBEm2ggR4`aG%ppGf2JV2
zEd_t`Qm`d51@0~>sIg9gxIqdItE3=WGzH_|lcCm<jGM2MQ5c>KUZ-U2I+=_>{bckg
zB|}jp8JE8%;Z<W2xN?)QGc*a0?UT@RED0<1l5llJ5`*a_LEv*D_SYvODk~A6f)c^H
zlL+@CiD=%E2>IoSxWb=^B6b4AY7=lQBLQho62Nsk0edYH5UZVlU&|7(lQ#iR$6w-m
z^-F9|dx`KzO#a487%({AGp(2SE&CF?xnJVtXgp&d$HOuu9<Ku8A$~m`HizO-gLo**
z#KUV=JjRFPVDKRh2}yAf_K(Bmt8r*J5C?Tu9Kx2yfr~2+XNF#&mcb7<CceNk-xm<P
z@&ecQzd*mn3+$45fqc#vP#%1au=md)obVj>KF{&R<~dI6dybZk&tWL}97QvpGiy^U
z(#m47>SZjRKZu2#O)Q?8#zJaiEW(z=LUKkd!uw+&T^56=_!umI5QD_aF<56BgE#6i
z*t#SJH5@TG)E|xE(r8?bkH)MA(Rg?{8VaV-$W@Pq;gV?daYW;0e-uQ^q7WY+1>FZx
z=(!w)JEl>P*cgS^OQK*tBMSfepW#{AGi-bL43iI@;jzs#XzhE3v5ib#@)>kFpW)j;
zB%<C&!Zd-wVSOW!$6&Iy`y-*G8HoX@NJPwxgxSzjEUI{lmc*wB@_P!it531?;8P5+
zp5mqSQ(T$#6q`mOz+V}`VBZml4T!+?>k-&)76D1E2z-@|Kskc}KN|~&U3EAPq=jSs
z<8aKs6^<W=!_lf8jy(BrMDc~glO2YuwP84t83x0kFou7^7>tL(lDCFo?usz*359|4
zODO&{gyKg|D87Y;;;RFbo?y!Qq4>Qj6f;Ca!8;WKvDOes<%M8XWC&RILSS?{1V;@+
zaBWQpyyu4?_E#|8b_S#CZ7}}E1VhRr7}^(tVYNFL-s^*rwKy2P|AHXg9|V*I;lj%x
zMEV3VYflh_4g^7u6$D4=Amq;q!rzfVY^n-`V`?Bu9|c0_Rv`9S1R_!=5R(c_n?N9Z
zKRv-f{S#>9Jb{1c6HGWff&R%Sh~54KJStCcM(hb{emutd_Q!}QcntpN$6)pk#>lzH
zIArn|)$|y;iytHJ-y^8^KSE~NBdkk!ge>1j(75^tg$Ex&pTY6#Wgp=P&m(*qe+Y+<
z4>2$EA>xA`Lg(&7bRK(%TiYID(W-}dJ?9}Trvfm$EdWXR0XP^H0B*McWStAZDU$#!
zSs#G<#R2f*2!Q?o<2xw#M`@xz-2MGwblo4~=Kko}?2iO_f86Hx$IefFkZ$l}#>Edc
zVSb2r@`IbTA5QJ`g8}1%SS{{{1%G_O*~9oGiha=$=gVM!zIbcvi|hlwj2-QZ1X*9i
z^Z4TBgb$J!A4W!&58j0Mpv=Js4JUmtu)_yGRDB>Y-v@HP9{}ACaH#kJZpJ-8$b$zc
zw0(f#0}mj&iD{F2fOEVL5YF~SU7a`ha=fu6%p3Mj-pIH128SV2R`Z6(0&mp+=Y^$x
z%vTx9yikzfg}MG-ICI?##pYg+*71V<axe4>dSUBVPb4&ZLOjnCPR~5?#nltX&wHX}
zw<nC%Jy9;{2|X@Pl#X~nzuE&;=^ii*@<7jB51c>Yfxp{582ruy3iCZs@Y@}SdfYKx
z;*Ow~?tq^=2Clio+uR)+b=)zs+#SI}?lAu52A)<oyv=uGa6vb0@^Ay^B{!6ry1`e|
z4Q4WKSi$3l-xIE=u5(39jw|fLU19Fx3f37{NbPb3*LqisOSqzm(-p<T_mNq3A93mT
z@igc@g6;3)$w`I`?jvZ;eS|N#kJ!KWklKF_1?BhfG5H<_9^GT?*L#?M>>kwg?_syf
zJzSl4kHHsRP~78!&!sL{n&<+P02kc9>4JPq7yR1lf(@%&a6`-mZ>F8W)$I(!5@!Uz
zbjFyUGjPKh0T#}f&~=8sk~5x*I)iW82^YGY&{XUM?UznS_H%;t4JSObaDu>AC)`tV
z!b~wII88fZcDEzEN*p1c;D{)HN36Z+h*C>OnCm%WYLz4W<~m~aZwJ)%IN*Aj1C}N^
z;KM@)#<%ByRmU6{Y}f%ost(vI?f|jB_Nec-$CC<sSf<)zWuQH#@7kmMq&>oR+T+Sv
zdl)UYhZ3hf7S`THPxxIVox2Msjk_@Cy$dwm!LsN(5Vg63*_-cxLztlsJ8;L_VeSn(
zDCpT?^E^8o>AMZrl-tO-dmF<$Z$n1nHja+o!t?A~_<rvew(Y%zNZDJAjJpZzf}3dY
zzRBQeH}Q7mO=$nRf%j!MVEXt5Mo!#-)7l%5op}T0AFtzD#C5E^aGjCK*AXLd9p~Dv
zK_l)Ogl}BKsNOYH%)f@zfvbo}zls2-t9W2?6+Y5e@#NDL#O7bYYws&)Hot;jN>?EJ
z#}+0Pwr~xyMbRl+#{RU0F^?@Gnrtw|_(OMJwLzAy4W#GUz_0%@c+)TAzSCv!@4k#j
zGMBOZ%Ow;PUV;U)X$#kpOGs9|gkv0+AW?G>?co;@dEp{1Y`O>?;fq+(bpd}9FJSP_
z1=Jf}z<bFHjDBz)C3)vj?R_4dhtK1i@_EepcMfZ-&*5<RIXt*<4keq;flK5Z^t;a@
zAo(l??ayM<uCoY}J`1idXK?B58T9*|!Qo?P(4}?;R$OQBz5X=ZqfbNr>S>g1J&jA^
zry)Ij3eDN4@X+lP4jeoMxs|8z{kJtLKUm{ss5Sh~TjS0qYg`hs#+e=~oK3ZYjgu7|
z_E_Q3GApD`okV@<N&NTZBvze1iQ^h4@l@a>20BhaHR%K#?N6X>*9mNtJ%NaC$01m9
z91f3<<G1y3+}?N`Tmr}8-*F6zNykuZe+<?p#~><q4DY@l#jVn#P!Bwczo(C)T=OVG
zg^n`**dy4NdIWGj0wvQUkY0WSOMY2G>VqYixJ_)hXbB^2OPrf)3BN%Lyveq}q`L){
zn_IwI#R5q)Ebw35VeE=IjF;CBLukigTw8J&LzCt>{MH=p0p_r@GRK&@IqU??F~7?U
znJH#4cQyn6J~QMin&IZ3L(r@~gjtb?&|rHAFZB+=ebFJDpE!sE1qZRi{~)%UWJsOK
z3ovzE2XH?10Nh*-Ab$S=)UP}Mu7CTXQM(^EqW2^3`hM^k?1!1ueq?;vhj}IYa651x
zM$hhph1Nc_iS5JTAyW+Jn&P^*DTI%jB4M2=On6Q4w|y^ClK0|_^Ij<J--~Z6_u}2Z
zJ$O>L2ez?$u<zC$Y&P1%==XcD;>T_%R_umK_-<(0?1r)4Zk%4c8y=G;NPB03-p3|b
zaMlESwM-B=*985;yFhPt;eqciOrF?<y&HGotq@b!XN;6AW2ku=<F%zR4AvQ=kJlIu
zokoyPGeYfsBRHEGfwkHQ|IIQ&QL7>Rk_=(xYzUnLhLBe_gvd-o%xK<;>6bh4(_tt6
zGu;VZrJazNu@ls2fPL`>xNC2K#JvXSUts`g4g;KM*n#A@9pJRzfrEQ@AZNu6NOA0d
zXTx@I#Bawf`|bE|?{?f<xgGOoY)3+)K6bp+$E1Tkg7)ddV3j^*&D2M6^EP-UZo@(6
zZBRM54g9Lxz@D`Y&24&kpQ49?`+CST*TXwCJyi4Rp|@)*{$y-rFrlr`J-QXP8@3`&
zXe);Lb+O`=E^K{uQEa7)CD6s~xw_~b-2$V+EqM2M3vhl53bt&4{^BiY{;Y%ZWjf#w
z*Fn-19UL^!fq<+Iil?>VQlkxnSZyr2qYd^RZM<Kpjd)IN1hj01bMj`~y1yAW4sXVt
zb(`TXuo)qJTFA)NLW8ds{#a{ag_ag9#I+F2-h|HLO;{ev#G2S{LiLVKSS7m&e!qaf
zAAw6Rm^c)B;Ou_js|w)24Ti^ANX=wnuQv<-POy;7V!?VI3-S}17%S35R){9tZ8dS+
zKoh!hnppKm1B>f5Ao5ZJ0?rx`Hq*euwHjC<paJdvjj(*Z5iS86k#cq;<E!2X$t4?M
z@m(FUmFi%&ki_;o>WDE_2d|1cY`E3Y-?agUvNxc`X9EtO+JMo`8(_C+1H`|sXZ*<P
zaX4x{1nkzMaPNB9DX)hX_j>Sl6I!wf%xfL+K25OEAy`Ndc70!m?NtoLuEQ?-b+9<F
z4mNAn!JB^_lKa=9<;_~~K3<DW7uVvp{#q2stOfrcHJCT3AtO<Zu^-iN^N1RTHmc#!
zTs1UItbu9i8gxdi!MU4jz`17)!d9)pX6`i@>t2nJ+|}3}uo`pDuSTQZYD7w}hV5@v
z>}*iQsw7p+byLNRW2*SBsfthYRq^GM3VxNVfHztNQg>CLc|ZjgYASFOR6*{LGQJcl
zLp4MhSFS3f&{!FBS1RM&EM-)7t-{*eRfr5&h4~j&!B?M&L6TdA;J->((V~QcG$ojO
zD}m#b65@1}a7a=KqSGrGU*<|YOk9a0ZY!a7d?f@nt;G1km8ku;0{PV|kQTQB2`(#;
zXt@HJ8Y@sVe+61TE8_bHMTkFFWN<@8Ts*9ZSan78&sD_oPs?Fbu^dG)%OT;o95>CE
zqie%*?3lY8ZzdH$6$;3VQGlkS0^XY|F!sIze#}*1)>(OIeUJw`Rvyos<Z;+S9!oXk
zF*08s*<Y5yyJ{KE#4Us2y=9CqZyA<j8Kf31!;&dENY~0iDNznAcRB1mDF<6^IRr||
zq4<|9el*HLHBA;5AIKu}j4WnulZC0AERs27F{eWY*K=er_)rE1FUz38PzI(eWzfkj
zgR}k8m{BN=&`@b?x+#reQ)xU_lg3UFY4A=g#fSGx@i1m7PB<-vhUHQ$U@gU;g-bCw
zC55IsDO4p(;e(eHYEDa`O-~Bra#G;pl!8o`B=lZO;&PxQqOMA!eYYeQua<<RkR)D?
zEy3TiCD<3U1es1tAaR6=J7c8A@5M`CJ1v24jS{$-E`iy85(vB?fi*iNP`g3`*Lftc
zY;ZA}-z|pU)5S2kyBG`27h`baV&p7X4F9P`u&G~!gQ<(4=d%bJ=NDm}0YfVmL6c_@
z^amHhyl5e=MJ~h>`-R9qyb$A>3$b+ZLL8i4fZ(PD=*?IFm4F3sy1W1##tXnwS%4_P
z1(-7~4wrIq{Ch5ryZ6O0`=mJhw}?YtRvZO0#9`SzAKdx#ksdl9R=4Lv`p|szsLx02
zg88uhF%No;^B6pC9ykK#Ves-i)b5&xV%2%b6P|}R?74VXITzJ0=c31BE~Zb<#e(f~
z!BU(HYo56X8WKZoi5Ns;#IV;z3=zl0@L5L;+hoNM!zl*7UQyT<ilRS46o>3Z(QLt_
zo0zgBQ~!4k_&Vnx=FJ>z3uR&eZ_h!5*&OWEoC6VwIjH?Df}l1LSicg1X0QmvZ;3E|
zDG_vS6v2l@BFO(GjGR`6a+w&yAYoM86h_BEVN7il#=OPC*!WurC)$MY=#>zvf`uS(
zTL{KxLI~0n!l;B0wEh!BXony;@&s`zOc2d?1hLaX5M`SLp}$m+iJ=pOMUMc!77D;C
zQUI%*1W<QO0C%?tV9hcCjLi~2+#o+Ll=5TabAIr<@uT+?Kk~QpBXT7_JOuc0Yl07#
zs`zj&i4PZi_;BqK9}`Exhd?zxq|N0+-FIG0H}YaxHZS%C^5VfwUQ{09g(!;`=8{aT
z<UbzF>fyoBw>&6*#sg&+9)zCcf#^0Kcq#Hgh@S@!$GIU>#f^+4ZW#J<W8yM5{Pu8z
zMciPEb0d0sHjcK<#<DlF!48{^H}<pPcXT$+ZJ7;2`Po><GaE9avoP<&EC?mef}qbV
zh+dwBC3|LJ70rUqf?2Tm#RZ3UF1*O&LQ@16_?@_*dx8rtdR(Yb<YI7AE}UY|L}ATL
zNTtn$<HMO4yEYRC56(oj=1gptnu&@TGhx!tiLMe(Tz<g`K2J_OKhFt+U7VOw<3!AS
zPMA&4z=HM}Xvv#_h^I4f&Ups3tY%>0_8Iu8Gy@&NGf?`416d6mNXX{Ei(n4K-{C;&
z5f0>U;Xthd2gdj~AlCkmWfu95m16ymHAm$i%kKMM*0)!GS=Su@vS#c5Wkm@8Wo>Qz
zkM$$uKUVs&|5&$I{Kqn8VpmnN|F9O_{lgO3`iCVd_=hD`|C_ZT_&3Y!=x>&%;%`>z
zr(Z0g>|ZR)yT4d@TYs?>gnqF?8m3tiq0_9`<I^lCO|!bc{$zQ-`pMFB`pFX5@srgq
z`jeH_`hyh~`Ge(i`UlHv%@5Y2UsJ5Ow^OY5?o+I9CR3~xi>Fv;`o6QW<G-^+Y`?Q?
zG{3WYxxTZ^D!;LM9)4r}&(L*;bNNMaDwHII$QH>SDRIuRQleBSJ0nyQiVBgv_ufL0
zm623LRz@jB8Y<E-nn=^H_51$uc|P~tf8OVP-h0kH=e_rw<8A+yIAy-lmDw+JsObwy
zhkl_Mqc7CO^My*D&r?F_JcW78Q~0KNO8)nm%5Qz9{?yO()8;d&N`0o2pXR9h>KuuM
z%u%G#9DV1RBk$2!S}2>Pc&}MnuQ^LYi)JbE?hF}Z%@C*K484(^p_^YmQSFUSR2uz>
z%1l4eC81ArYw{y~sQXBQr$3UJ!AHvC{791{A4uo?2P*aWK#Ypll)UHz@eRDE3)$~U
z|G;~Cr|_Qgf4n2Bu6HD!_>Sf+-_d=^cXaL3TdHb$OBLa7>C&#Z)Fb$oCMKqdvwoVk
z1WZ%-wrRS@Jxy!JrYO8(ie`MK$VF$0CfTRx_~S`pJ2y!c9+R|JbCQ;`Owz#M1mzV>
z(DB0)WUf9zx=a(a`R*Ii%6UVEE^o*|<qd`Xeob|^Uek2OYm#$%O@4~6X>j2cZRmYP
zC26ln(BTyo$iE`FpD(Ga`z5)izNA(5FX@ilOG^4NPIlenq@FrXtL?{$MSh(A{CGi3
zJuhfQ+6$6)ctP70UeL*fF{<euquKN^LZ>mxP#UA}zedUV_9#8e8YMfIQF^O7O2Pl0
zllZ`Mx|{c$!VW*DEt{Sb=aT0%G4zbOi=I)P$1^Gg29`ae+9yw`tL!Pg@_9<^`cFxl
z>nR1k7@?kvBP0+oLMM$zXl(Te?Vfr<cN?FOdH55WFnvNH;!kMZ>|=U-<1wWsJSGd<
z$0RNHnEw5IL~r^Y(NNYS>UVua1L}|H+2Tj^`N2b4b?zbQ9DhhBbsy4|l@Ez&e3<st
z4pZZqVG=PJrc~i!TKVw-Ww$&a+4u+4WAlKH$~_>F|AuJf_7D~34$)D!A=;`rM6%0<
zX!X-UT3I<r-2Q_kVl+q_1P96d-F-UKe4iR(@6%`N`=ljzpA!GONALUZk!k)t>T<tF
zgbe0j$YTTazGi?Dg9b=z_W*qs8=!`{yL6`WE}5m>B~|CUv_}0dtzfxJ?2qpdcljNX
z^t(f3bcYVCxkITR`l-LQpH?LGlZ`_^)vNRq*P?zpJ$##HN^jHAQ@81>;cbc%yiJlH
zZc$(BEjpESi<BL2(Y)#{YF~VdvL5x(sq#K@^zWm+JNn2>q>pT7d&#}Cm!i^psoJ%d
zo@w;bD)wI5H`+rbwLSDBq=zibd#GKyhtz&{Q(b>IZ7l4j9<Oe4(C?;2e2ls2n{@E{
zO<I?Dlja<5Qn%VoDq*=vF(X~%U)@DML0#l)+C`C4T~zR+lWz2P(sW@b2_5ewD}zod
zTHQ%=?>or2t%GV)J4nd2gVHv45D!NO6^yr&^5u5A8`VzUHti&-)K1Tt+v)71Hab$-
zM!IL(NX)d2mP)tLe?M=~_q#XfSMd#EKY4>Bjc$;E$PM!P+)C$rTIp48E3NlzC4c=^
z8s=}MO&?n5e0vKCX0%Yw;TDph7P`#cLc6A})0gYlsU-P2S-D&%LCx#*W(6bP;B_;l
zUu!1+gl0PI)J#sBn#p;2GkLyjqOdDXR2<hteGX0ZL%oSq*qg{_{2H}4UL)SPYvk>4
zjh?DsBV+b!)IENc46j_J;kc`G*zqc{Zn{df%de8dt1BdU?Fx-1T%n2sSLn><D`d-g
zg|<vIlKS;VQc7tg)q{<UHPuLFJdJeh?PbbtyG(r<mx;;!GU@AGro`2k>D8wO((Z1c
zvb+Z3JKjJ^h7H6e+CceVFOl+{OLVv75*_!uL}I%y(PQaLl=Zuw9ER&jwW^*tLhEVH
zvYy72>S>szo*s<W(X-2S^dYW}SPs-N>}(yGbJbDwbS-ta)e?JFEm?ci(j|jh;$h@y
z1bnHXPyID?_*@Nr^sga*(;8YSTSGNWHMDo+A}y)ENH?M{Qn15CGSaw6!YeP*&#7t}
zYpbUItZM4;tfuyD)zl|iO;5g8(cHZ%;wi5p46Y(C%POi?uA*5shWxUU(wZu1E~Szz
z-72Y1uab1uR8q%$1sUI|pwaUc<QrH)Li;MHPqBgmSu03$yqx}BE2n!Y<y7WYPLcZM
z<RMf}_FpfM<-i59zHot@gD=o2s|%E-dV#L8U!XT{%1Gcw8ChhNQGr((eb`<``jTaI
z?pG<XKPsiuwWahWx|B{hmC|3WQcB@1CHa~2bg%C`oh~^~N&)BT{oeCbr*xhIm!2oH
z*XKy3^&IhMog<cG=jgW)18dLGlD{RyJ5oZ54JEWIp@e)7mQbZGquS1z5|aK_OvmmQ
z)6L3a5{)RPQ2S!~w7Hm^Ru$9Ory_E?RYWuAiYWX{5s6zBQIA>?`K%}+*|%qDy6Y^}
z6rQC(zq4d+ewNgf&XVA=v$S-gkeJ#T$Sb6!CkshnPa&zu7t$WqLh^rAKvk^;^d`H2
zq<jj<V^;yS$rjLRmICs7nNP1;^2t0qp9Z}1Y4@&tdMcYw?kxGl@+yzYTl2^?Cyy4N
z$fFy(^C(z8kBr#zNa#&2eQV35CwaNlc`BDKo8?lCQZCi8=Th@j4&CX>p~<s3#1@c4
zs+KwAydj4QSLV?8hisB%<OKzkX49jPY}&Lxn~F5EiHkp*V&}7n{eBjuS7(t_Ocvd6
z$s&8bEMgVSqO1R9lIN35Qfkbk?<two>yb%?#+ei-lS$4?GRf>!1{t+wkYRoXnfPUp
z?Y;~;u9iW`D>JC^V>-RMolgAa>0};}PT5ZB^hP_KG=$SBZ6S@mJx(LX#xxpEO(PSp
zG`hbtjjZL;=sjB+g-@oE)Xh}7TbxRPL8+u}mr7qWQ|bEZREqtU!qBr6qDv_xnVdo^
zJyK}Njuc{&WiT5<o=hgmo5{p5Jme6ZOtJfu={h9S7r|uO@H2@59w$+MV-iWECsD}p
zB%0ctM0=Hz=r%_ZZTpZ&{kIdzq9T#rMI};%Ya*>PNM!gZi4?+|NSj|K(9gC6YA;Nn
zq`(Anu}vU-tpt)0OrTXi<B9D_JT1B!Pb``7wDLqeiJQlhrdm8%bH`KYTpZOia<!&v
z<47tgj@&%r=*rGGTBZ<3F3aPn_kAp>^v6<3Wh@EC#!~L#SQ6hJOSLkww1q8}UQWeO
zL~jf!Ux=Yskuj9-8bfwlV@OImhQ2I`q5g?zs_2fU#L{T;kBBA@muNa{5KTv<qRD4T
zG=)z@QGRz6T`!HIml094!ZnKYwnkB)bQHC-MA5RTNV4gTq=pNT#2p<;zK0@d!Z4Do
z)<@FArIBR$E`sqrBgnfdg4p9DsM0-xcJGX!-wF{_zaoO%XTnMGemH%v3#Z<ca4I|=
zP61}&<hUW6cJhXk&bKhqd>lqv*TP6YCyY$}!|0Gr7)3xBRS1XC@Sjj(84o4xj!+6J
z38kK}P+H{@N{6?GQun%0l35x`sqaE)(VY-FeKCX<5<@7+D}>lhL#R+Kgfw_VsQyDR
zG1Udre(zwqwK16V7J}$jYY^Fm1kv9uK~&2YMDBOa(5B=w#A$wpzVe@;x6cCU-Pu6;
zc_5H@Wdce2Ljaws3!oOC0OH&nK%T!((`d(OvWz@UFO5#qDbCZhX4s$ZWcyQ`oj+Mf
z_>=OKAMscF5&JPe;@Id%LjU=aM!PRLMfg&VkuQyM`jXPaQ<Ru{iWclok&o0V`tRLI
zN~$|a$|q0K3$2rs$8?gMdry#N!U+;FJ3*WRCy3*P53MfsA>|`Jv`@u{V!nGb-p8Bx
z!oA7M$eSLo^d{rS$LUVNak6$kPTypY)7iOWwD;OES{-zZrVWl!_wr*@`@oCJa=ob1
z(TlFjc+tp=CoR6}NpQxKf(;m%e#<>cY1o5u^E`<AfCpvCdeHjMN2#yrDEWjOCHd_~
zX>R3F>U!c%B}ML(c*vb1mE9@s#}O)MKSC|hM;Ll^ghU07kn>A7x>DgrtB$)-kfs}b
zXLh60{fB9J`eCZHJxu0Ohl%~uA-Z?v5S<M=L;;3}$c5_=**rZ+`_CPuqwWVOM*Sew
z|8b?sURPR|;z}p1UFn{rD{cJfLKRnBXnn8?HEwqy6CM|uf9_1@%bdx{%bDagooUfx
zXPUfwfF5QYph3q2G$MC^K7Dl}&UPn)SSLDZ?nEsjPPF2!Be^#?(&Io!GBI?dL2gHK
z7<Hgu7aZvPaR;(Q2U^YM!0^HC=|+J)ojYVt>1y_r@@GHg-r7%f>HBHOen0(_-A|g|
z>?pXyj)vmxNZHbkawY9(<%}(*HrtX|q%Ae?u_Xs#TjG9eL-#M+P;RgddF`+v)73Vl
z^TwJq>#Rv9z?w`At;uVZHRX<5(fw*G;`Xy52Lmf==CUHuF-uCWv?PvGmXxV)NpdSK
z>CSTt@~yC7tRV~fqGv%jIW4H@`96xO*hl^+_mQ9eJ_=j8k8(!$()G%{^!C(Vk}%jy
z2f6pswHM~J>Y_OX_?y%0HgodiHK&DFW|UlKMyhAbXx!M0as<q1|CA{yHk#71FjM-x
z+mt3mOzF*sJ@l!04=s+_LsAxd$W&?%V;|W~10B0bIC(dn+P|Ad<#&_Gf4ivv)-E#3
z-bGWcyC_n97b!2^MUz7&bfMUUyuD1wSlfgYSD28{=uYCR-brgt?<6^+owQA0CwWZo
zprWfgXf$#MN$=Z1{!%+=<cl%s-!!JCG-J{{U`#!##$?BAOn(QB=wh)ExgIkjSzROg
zxzdOpjBlrFb=#>tcsrfny`8GWwo~h@Aw6w3B<2)DQg<{YZxusoVKStZL)*x+WE+hf
z-$o|-+h~Ai8(F>CN;8+YQgXyrf_+<QUV1Avem9`dJ_EAOF(7m^AXzN~l2~p)Qlnc)
zt!4}D2--qkySLC;@hvp+S)YV&>XUnhKJ~cjlbnV=<t^1G-e-E0Tdha3XY{Chmmax^
z>yhBRE<L=dOL>{PbmWjOBWBVi`Q^GKG^RuRbvh&*szVCqI%FuVLmof0sqnTojpS>S
zsHZl0>M~MZd9+DslIZL;BEdKY+Yu=#6WwAa@_2|OT#oeEA1QAqlA9Qk{yfmS9w6Qv
zpcU>wT-rdQ+(4Tqw8-k37DdKsQR{v!`m3Tv#!IxQ_=zSlS8LMIAWeF0s!0c=HR<Ee
z%@lffGl>^(rrSQ7DbR2;X$ftnMYD`Dt6ds&DNBQLj%ZM<wgyG;Xi(hLCd#|Mi5inO
z(a3>K#Hz80be3<Tu<?xyz1T?WVm4B=-A4MNvXR_aHqyJN>f}?aPHf@oRA#A8CJO5G
zk4c?c9&Mn|stsfoynz(=ZXh1n4aEFcjsAO}Mt{oHi2aNjNtmgTzKj}q{8puNL#p)Z
zf-1=cs?r%#ReH8gm2`irQ2me!$(5^6ZJ-LFnF>9WQK3_Rlu2?}nMNv<DJMvooc1b{
zx|}j`Gbz*0M@sarT8Sn?mFTUd5`9-xV#Mi6r1DIWZ0i*%B}$R*+bNR321PouOp$uW
z6-eQ#0u>}E5TCOG<!CC9G?xOkOv#h&4S8b8kf)|2@^n&9o=`xZIA-N&sz;7)7s%07
zA33TqW<WxYuKkpy{`;~teL<EugJc;8K(gegAWJQaWoha2^<>|$p4wv9lZ?}P%G<o2
z__@|o!L$s?x64p>mJA*Alp*eIGSn*~LlNKB(awQ&BvQ7Heg>|i(Y@>Fw!%8<Si-=l
zG~I5LX2ed?^wUL}L`a%;@<~&~Cn@Ubks_|MQsi<<iaK{m(Rvvv%K5jJxJTAfdi`1w
zi(N~NPHV|bYb`DCtfi_ClH}4YNiv0!^yQ=^-P$Ed<ua0#%p^%6PbKJdg9M$4m!Mb|
z2|CM&8gKAR(B!N*@!uAwJ?F$JJwTks_llFck~pQYiPOSMF><>uMz7Pw$i+j9VY9?2
zTwILA{}ZL&VNp6+BT9<VqBP?uN=;g#6wfP4hh{`*=PeP^IwwM^fectM#wv_Cb`d%>
zAx!aY!qk)_OrN}kN!~=5yk&%`i<yy^KPp6Lt_soH6d|&87osOyg~(1^h~EFVhC&~$
zA@TY(bSrKR`Ma*64Z3US`<gY>`Av{A2L;KyT97QG1Zk_2AR#iaT96Fp1!&)Z0C`mi
zP-?gUwb~2NoTdON@CnfIxz*HuXEpJauci}Wt7&xqYTBu}ntFIw)3!N&8oa|#2g>>B
zPZ&Ry*z=Q#7C$ZG=co41d=xprN9L7$Bp1m?%bfV=GxE_Z0X};6m6x6m^3vo*UiuNk
zOFXW;v{8?joJ4pjb72)dc(jUEH>@I;q*ZkN$SM*rTt&faSJBKr9&#P!p~)s5^2p?&
zKgW3}YZnh`$n(%kHXcfw;HI6O+{Ag7o1UKLri+%`6s^up?%dpDIm1Oe?r@P|1sCm%
z<Ra?>T;!?4Me)L1bZKEFjXz#Ve2pu~Jar}Idak6mJ64j8>`FSzx{_EXIO#+uCw)B2
zNk;=Y>8mv-MQCu6Fdrwi&aWVs!4<??yMhMdS5T7M3bHg@LF=Vg5cA>{^!g<S-D%^X
z)&dT?a+-s#T5(YOCJq|p<)C--%ZYtxIc=z0PA-YdsnC5ny)ar%GV7O<AM0`&nqVij
zo9vWd!cH6^>=bFwPOQXE$wKUmb+wF|MwT&b;WA>%T1NFJmeFDJWwc&x8O?DmqmJ37
zlzne0ovK+%`xBPZPWPp>#ds;{%PytuOP7+xG#ef5Wuv$<HmZ+cqcLYT;@QGRyCvBu
zgPDz9zGNl!4pvGjVx=!ZtYmM`N<)mN?-XIBd%s!8YLtcEx3ExnJ_|_&u+V@F3!Two
zp^a-;=-a{)YJIwd;+vPyf!rme>%WB7SudegnoDS@;1Xh4SWL^FE+)R_#k4+mF>Uc*
zOs>|8DOqzdbqX$~{}vVzJX=KJ*B8-n-Xf9<SVXb5i)a=W(SG4Y^x!u$?H*&M;Tz24
zaF&_ogP1A7fti$andyl*GsQ47lkRIKV!Fvhedn1dGlGfSU72Y6HYQS(VIsk$3_SRU
zoEiU+$KoGK3;e@v&;H`6g1>mh{x2?)_>1;${^0GhKd68B5BAIbL8ni@k+uFeUibcu
zfg69L$<JS?(DDn{1pPvOy<aG?<QHo7{f7tQ{=*!T|8R`!KU8_RfT`IF$ZWfS!J-Su
z@%ks0m;J;&Za;CU;!nIc_XE#0{=f*oA9xaf;0dN57~1_E3uC@x-_Gy&kLx>bee?};
zbHCy5{ol|-@*94f`ilP5Uy=9NSG=MA6;CXDLCv-=xFY-u&KiEfagHxIHZ+g#vgUEI
z-8{-m%%juPXDqA!j6aTjM$1i~vFFzu>UGXxf7Bd0?VLkao;hrOGK;4RXVJ)c7T3wn
zBKPbJF1s>=D+6Y5t=<f7Wt+hh1E26x`X~Ht{R#Jpf5MijkEmSp5ij|CL_MvK_=4#p
z#`b+c{iF}Lbl(RY75acTUcbkSmG80g*n7OJ@gDE|eTQ>B?{ID6J9OUr4lfD4Lyk9Z
z@nqFo{BZm&dTG8zCg!(TbZZ)Sq)a1=)imA}o5telDGaNd!sEVE=%F)(zHC#Nbbk^X
zvL|uEVG`G_pG2>@3B27jfhwUBSZXwZ(mWH``0NetIsXP1+}~iG`Wy8A^BTAGzD9}U
z*T`Y@8kb1C#%1qcq0r@5s1^7M4{m*hMVzm2>d8ygDtU?dM_%GG^_Lj&XB;{D#<3)2
z9Jknv<NVrjto`%?eXqU1ouMyKX~zo`;d_CC<6|gUIfk2k#?Y3=FrIA;Zw-wicflwg
zIyj2`Dx;|N>p5QQd5*d%&+)O%bM%*fj<R#laPs;ytc`qz5qqBDL7`{3Z|W(UUV4hw
zfltxX@F}M7JjJ%L5nQMkLA?_rn5i>@-`Pjd`SBARD|v#>9#8Q5<|ml7<O%8zKE_}9
zkFn#>V@%t?=$ifS5!&2&gr?b#aIf<tbWwhUA-^7CW#2=5k^T_H93P^G!b9x)IgE-u
z!&sa;jAHh~SS2@%`ad4v)XfK&mGS`1_CG)&xd%A+eF%qc4q;o$5H{^+u-p(1{usoW
z?m-kt8^qlXgP5i;h_4pzBlg|L^BMP%|G<6BRKAbmf9~P6{(ESfa}SpvyoY@o?qM?X
zJ#@Z5fLjU&P}zL|Wi$s+o^1f((OtAWe;0#}-^EKhcX4jTU4+p)m{xTMzxmxk7sER^
z&UXh7PW0o?hJMTn?MK}`{rFw9ADcei#;DfY=n#J!4Qy`XM%mk__VX4)PjBI_tXt^m
zdJA*aZ{gtLTexbt4-cH{!`9<{D5=+n>0Eut^|BXp>v~Z!xEBX@^`gIMFRIM+;FlXc
z*qPXa`TKh?M6m~t|LI1Lfo?om*o`qB-B?cDIJBZ0*<Rel?X@>CGw3FM+I166#cpE9
zY!_;EbYVwI7n(YC;f!h*W-aPMqv1|mTH1*ZPIO}V)=rG!@5B?+9q8WFfgZ6P7+}+Z
z8S)+2^t&CW2ij4xs2vX<YsY52cH~>tj)4<xID4fHJ)+z2yHy*;$+e;E?;AKga06qD
zZlLk;8_2)q27cnbf%m6cv9+lc8{=B>nq4dQD77+lw-px+x1efS3%dKZV7*ZbG6}b!
z?aX!T?6{6<>DRH=^*V0cd>#APucOOYGjh~7V_R4=2JCCbE$f?+|5p=!9caR_;wBvO
zX~O&4ns7w02|s?khRZvy;l}i9=yvcLR%l+sd5&vn`0^@VxO^44qOW44%~f2YbQP1B
zuj1NASMX-V74!(af|7f#;H$M)u=+<MhTLgHhoVL_@@YhE!$u^bMl_tgjJ7u~<LT_n
zc;5XoKGC_1e7u*@{%r$ZYHh%ksSW7s+JNsh8}JZk1J1s_grV0ip=iP->~Xw=z8f#$
z2KGz1@S-03FV|yPOg+Z$ug3tjdOXQikEciLF!oX%o{Or(UfVkSs#1pvtaa%1ycS#Q
zYjIUnEuOHg#g{6zXu(>GkDu3|<E0w>7FB~8b~VTdx^RxI25ZJH;>pVw(J=NRu64MG
z%Qjxb1@?>h<z+SgxLS=YiPb3TT#b5~)#$mh8p|fDaH^#WRnw|4>TnfKYFFVdzAEhe
zP>I@ImDrP0i56a!_<3t3W(il~)-M(K_jUz#7FS@BZw0#Us=#g16{zyN9HoZKQL?HW
z<wDC5t;*3#xg3L7%dvLs0!}wxK)Hkq=<9p|?`d5?Wu6O|`>qUEbe3U!P8qH`R)(d9
zWvC-oh7;dQG5uaC?zm8jD}qY#>Aq5|RV>9smQp-5b{-F3Igc)h=kbW^dGx3An8tS=
zuY5X(uX@hm>a*w2;?y}T+I0@+*PX*%|4Oj&NeQm4FTsMC5)^eR!79xX)Zr<?7w?NP
z>Si%+E-1z?CyKGjgdwjhM*Dw7s54T8a+iuwG_DARoQqHri%^ZP2zSn$MX$cIm|uJr
zhy2eXm-$(=Ryd2*EN78*ypW+sh4?hJ5cjwj;-Enx+K3k7rym6vJ5+$m)dlz>q5!k(
z3(#_N0ZQ@|;P(&tINXzu%|-cG;h&Es=J|MDF&}H$^0Dhx9*(!<Axl;ssvpZk592(n
zlgh*Y{^sJYr@2^tITyK;axvs^F8<WdMSqc8T>LW!vmWH2T1^g)MCV}ifgIGK9Apy6
z!T$MdEF8#2zlv<M3(rO)`)t(F%tmeAY}_`Rg_iwUc)TnNGeWYk!!`@QZOXz8JXv`9
zQzqWNm5CCinHUzFi63n;(P2|2KIhIv$4?pf=~f1Ymu8@3NCx)XW?+Cu2CA>h!0$8Z
z*x8?snHSRWcvw1G*r%g`RyqQII%>_Qq5i!zG_Oj-qfu#?bRZ3zwbSt9nlxPhBNaV{
zQ}KFTDsm;HqSxV6d~A@4+ayx4?N18oJWIjbS5we7Jq5perC{#P6x=GCf(tAuc=dHM
z2DB%mQ9&|_`6uJweaSefmW+>9CgZ@zB)oS!37=d@!gt|GxY#KP*J&rAsZbI|{!GNq
zM~TRCIT6iL60zKaG2W4g?&}lrDN7>md6R(mI}*_1YywUNBw&zr0*Y!RU>|P+`pw6q
z>R>#6sfouM@$s1K7LRU*@wii((eP+-Jj%U_L+SQ7lr4<IjRA3JWF3dD8gUrM7l+rr
z#Nx-HSd^`gMbD&IY&jZ>+&f~?OEwlCvBlz+sTgeTjzNv{F?b_126sBf;2TEPW|&9}
z!|q1o$g^lnZjQ!XInl`H8;ukDqOnCi8uL~~W9WPo9vh0nL-kR3FgXf6JfkqsBns0N
zqOf6k6h3_)iA(z<QKvEzgJL4F=TIc_8b+e~x=8G2iA2@O2rTN3K)%ulOb?GhLFWi8
z*N;GwjKJs25g7U^9F;o5@lA0!7KenRt7AB->4qb#csRcP7lys#Vc5_fh8K#$up~GP
zOC7?nPA3ez#KLg&Unu?^55@Hzp=eVais>Pt_|P#FMf5_^Ln0J=m_t$ebqFSOh2XDq
zA?O_*f^*Ixc*-CImq>?TE=vd=y&H^I5`%HY?qEE@6^tK-g7A2H5VGzI!YckC+&^*#
z#q!SJob4GL6gh((<AK;-5{LuNf%slJ5c%H*plMYA<{u5fuSx-E_xUsqUp|dir%vO?
z&8IQ>mp|&Y`QxHce|)gTA1|@`W6^Ct%un#c3%mWWgU1iwJ@Q3~Twgq7=Zmdkz9|0Y
z6sBD`g{zL7V(9TH)cbrAXBtmpmETD`!SKFKm`>ux?h_~<a{^U%p1>_!C(!kw4`$~0
z;6pnfl#uYjGn3vpUFnUEo(xv=#xp;TqeSa*d>C>ZGq)Z`7xv?*fBzUNWgNrx*2hp)
z^cZe`<Aoj-URdJcg>TfnaKleeOuONU|H3@+^mb2N%;|}F!yc%c>w#bGJ@BfO2S&X=
ziZ1m>anGrvXpBeEe9=)na?2f)liaauuRAUla!0dQN3gE^2(Ixwg6ZlE{^f>soo;9r
z<A#fOyI~if8zzk&#>3|i<DMgjahvL4H2!%A?b;7vVALV3G&zJ5yoXS6^dLr@KZx&+
z97J2SgZO;G72P^rktNm@YxlUKtAH!Yy>!9f<t{kt<%0bhF4*(W8SnKu<3zGEF12z-
zEpcb`e|rFX>kpu~{{f8AJAi+d9l($WPRNz-gtg923|s7kJl`B~<c1?&jB>=p-HsR_
z;E2Aj95AHH0keG^umv6PBZ~vd-?vBK9D5vevPTVhd#wJt9~Ij6<MrtMXkoe^|E<}N
zS0?PxuhtH?``O_-eLLjlu)}4KZIQFs7R8U)qK>*Py8pGo(pxt8A<YJL_S;~wj16+m
zTVrgiHF8H=;{{V|+%9a5Kc=kk@+B(_475TsLo3|KV};UVmMBqSiE=)csH<&>&dV$@
z{h<X87FpmLcMC?fYYQA^w!kd|`>-Qt9~!&t!<WkYF#OkE+|aid=hF6Kv;AI7mfMTo
z-_6mf%N+M7nd3nla|~E#j)n7Pc(=_A+2YM`x1|}Dt~EoJIaBm$HN{Ucrg&nXDY8kL
zV)@J-G;i6195H)vXzw08FR=$hXLjS!mfh$avl|cX+l{`GyD@!s7q+(U!q2h0aD(M8
z43*l2&p(@>e!B@?Niacm8x!o1F+r<uJMnkdPP~}16W#20qME`^WczOizU|wAk281R
zpfiJ28S+14WW8sMDh0-P=!h{^Z8pXQR%6`z$Ov1`8=;c75!UD$;pUY_cz<j=dSBd*
z5&_$B)Mz`N7ub%crVVl5RYTN`G(?TPhN!jH5RK-yp-bmBj8EByZ4TS;kJ2{W{&y>$
z9oULYg<H|{=vI6S3|`KVpBrFdl>u%$ZGgXw46s$u0At^6L8s;|xHWbQZnWNls<K;f
z^MXF^xUG*za`iF8O&|L;^^t>JAFZG1VMCQ3@(1W))DAsdB&>(AA9YdqhAv)D)I}G2
zT@+N-#b^I?uzXMlgG+SK*;@zAw&<V<uMV0s%6zz7)yB|hZLGA?#xYrK6#hkc=q}-n
zLPAk5!gyW6#XN*jZxH#eAl5}8?zKW>kwfhK1sF2`Xj=rRc^pu33m`uq1Jhb4(X53U
z@mgrLUkf9YwXl_03;zvkqR9nKyx^ya>^n3WK7%HHnca+jU7K-P=4LEAv>A75ZN|SG
zo3UkF1H&6M&>~U;)vYv8L|y~A|87FAp-s4^bQ3E3Zo=KhoA9*ACaj;^h@Wq6M9SWX
z8AmoUZtQJDC+>|nGNFz(P3kxuua3bE>L|HE9q+TMWAw8PXk5Di1;RGq=Y1RSq3j0i
z`lE&|Lu%MwriKIlYB*)0hU}7RsQFzLz57-1>RDA}@li#4Lsje&QbpA{6|Cx3L8V+3
zZ1qsVeflc6z^{VkAC%FtLmAg*D&uE2W$b6vD6LtgjQMYsF#U!SW~C|N`9n$!JD`MP
z+)Btkt%!Q9iWruvi1!XEq7*7(B)1~YO)22PRt20&RlsA16p)1!u#`suP2S2QbDKQ2
zr^{osn>^a+$fE|IJc@phL#|Fa<j9so9uGOjw~#{;l*0qFvY6T<i~aesxWZc&ZMVzf
zWl>q=`?elK@2tlkCF{}8Z#~1FuE!kd^{DY%246mq!SqTQ+!G>$t1V^lt)dLxTq1)N
z&(~p2!#YfhU58nY>yXhQ8e2Kn;fqOWWWOPex*5_K;x3K1^`%jGjWqgymco~}q|mfj
z3h(+dcsD~{Cx!lh*P`&_wRpQ`Ee1!fW!SB?j96hUj&ZETmI+Bb-zte28IqWMl)(lJ
zSy&QVzDnTOT?t%PCV@I<Brs^71okOP;2Ks5^nD?YV^_t|Bv~B$4vC|&t~fps5J%6?
zV#wJqhE3<h&^<s5*Y6d>Sp_j{XA#5P7or$=O%&ZyMA6ZW0ew+CA|#4uzKUSpfCzS6
z5W%@%5tOwS!J}#-*tA>(IVXkDqfHneWecO>abfH-X0Q}P{v(7QPlS;3k`Ok<3E@!}
zA(Yh?!r9eA*#3D9=G<9>r_0vh!QeG$YrO`oH>^RY6>HFYS`ZUD1+hL~5XVjm;;KD@
zXeK9!`AY=x(+dII-YkF@(*;n_Qvg%83n1580nGig8s$e;V{gN1Jd(H?1rD#q`}(Uf
zS!6X@{p3fvVSZ$(<;Qn1{P@_JAMa}O;~hbM9RA9OllS?MshSU^qWBnbIUh2-Htb!^
zhn!z{(cvC1HdpeZa3n9rIP&6e;6?w{y!dZ^6(-$Vh3l$TVPE7bJnpm#rDzqt6j+62
zUwP1HkOz$}^5FUy9^`W2L1tYZ{3XPLe}8b}vWMI#QqPTA3Eb#-m>ZJ~xUpB98(IHw
z;qIqgSaO96f2DGvy(bs;8*`zy3>UU6=0d%fD{-)OB_7IMiEO7<V!hc)bW&c4LL4h`
z>@6o&^l)O}IZm_+=0vjNM0rh4l;Gz?@h>Y-W^e^+)U3eWaVr>lvjTGsR^T0p70CLJ
z1C2&GFteG1@!yaGx1Hd?YEuprQ0BlS4i4mazZ}#1mZN0Za=ae49BmwzGj2;S$3~&$
z=&`_#%1_vFp^+W$rm<uBF?NjG#g3;G*zpKEJ05(y4BdN|p<n4TOblCw)sD+>NP8Ln
z6JCZJe=WrmPnTlLwWY|OwG<DWSc+X{OHodBDdw$QiaaxHn0}WHg{#@HCYBAi9cIJn
zZETn-&4yc+u;HKAtk~Ykim}D4XdBFmo9tN`CmO7{M3@zS{KtaxPg(F=6ALosu;40R
z7F4oeLDP*a7|6?lbzhd?hX+egxnT(gq%Ohx$CjY{o+X&9yaa!7E<vxE#rR=hF?!W3
z#{Uu)W8%@pxPIqiyd%FDPc2`JvL6=VME@czuUdrOaf@*4kwqwOya*S|Ey7RB7UB3i
zW_)^^8J|}&<76x|{%~VPE@Ng?m19O5c4mx!&xGCmOvqBrgeLJ!Sm@4#-*zzJJ_ROh
z<zPaKXaB$;{~zet{exX1|KP}rzmQq<7X}^w!WzlHaN^A$7%Tk)`wlW#<`0~B_Z!w!
z|AxV%zadlUH@MCHf}IV&7_B{if!?NHVD|Gr@V@>Zlmz|<<J$j$BJ+O`cXI*0M=rqe
z?F;aWeE~8CegdZagfC`4p_%U|B#rz4@BAO&YX1WcN&Eo6iSLk8{vG;`d<Pb#?_l=%
z8`L&_13|xUkPhEK=-*dp==us)QD0$&@mCmH@fFSweSwI~FL1*83;2k9fsj}8P*64x
zeQxu>q%;rP=RZTy)z7db;4}E?e1>0(KSRQ;IZ#NPgJ-65kj*~_2cFLY7SDo|>nsS#
z&4T#s45&BGfQA1IL~GAL@8TKYz5NM}C4GWt=AXb^kijoLf>-HBSaswh^eBIX$ZsED
zZ_5Wz4gCPZh97``#Rm`_eh=!o@4?F9J;X`BhdUqM!J3A5;OqAeUTePtTNVc2c?-U2
zZ$ZfVEewdgg~X|8u&tQ}jT6%#0n;G3Xd1+BPr-(iDcEN@1(BjtaC34JR@O|y;S-Z^
zA11+I@g(&1Pk>e01pKg`fKrJGaCr9yWG=mdKYnlEmF^oDUit<e48Df(oY(N5<7-$e
z`x>l2zk<T%S1=p;3U(R4f)<`vjAjcjq3!%j*n9LP{8WDlm4C+JaPK&%CyxWC)i`_;
zABXqvUckqO7w|ja1qg0^0S25eAn?f;bQO;Q-;psmwP6e<evg7f?<l-Y9)%$5QIK3a
z3d0|tL+aJ%us`HEY%+ch!o1I6<%?&)Rq+f&y`O<5J_9G#XOKPk6rSZh1v%HJ5Uu<a
zJ}-=bTlWaeB#l6b^$3VbjR2!&6+|>Y0po}#AhP=j{1JQt?<XF^MBQWfc=|CgZ+i@D
zxgUes=p#rhe*}-bA2G7V9znvgNAT<6L+~wr2uw#GLYBru&|Lfw-rXC93wgufb#NHA
zstv>XzYjp5{{ir2Jpj=I4?tb%0a*Sw1kt@ia5HTPI2?xHfcy}2{}_Y~-Gfk<G6)*`
z2jQ;lAb5Vi55hO^!;|FuP-J%>d}Qy#-tYH7@8&&#6bA3V2Yco2fzOWtDC!=7C#eG<
z>@WZx3IlLw;Vx|Ky9*aH?t=1xyU?b57i|9Afkk)jz_pw^;CJv2Y*oJlVvFto%V0nJ
zDC~#t?)|{5)eizo`vD%`2KUn2Q0{#jW_54FmX)`mbnF&zU%Ulzr*FYZqgznC`WDbs
zA51s)L1B0wIGFW;qC_9C&Go{kwq6)d?1eGAUYM5eg+KrGfLMPInB?|A^x+;D&|t`H
zJ#gl6H%ymx!~T=qFmBKd9=zSaHgOYbF5d))@S7lPeiJ4oZ^HHYF39idf|#@}2tCjR
zk!oF#xu^>+J?Mm|=Q?49Pbci$(h1qCI$`Eb2beZ?Kzl?7XzpXMbO-GD-VUF7+aW8v
z9gGjR1G{EBJX+Qc7oW93a&;S=32XyjlQswxZG*(w8&KJC1BOy>0E_btFi^h%$t*Wu
z@^LF{t7wJG{;eRtqZR6eTS0rK1)jFIKyYdcs5rO4C-oM%!rB6{BiG?@)palnybjxU
zT?Zra>#%RW89ch1AtkFB+736v53Odv70r+^-UQQ^n!qHY3EC~10A-t?``0zFymt-0
z6<>q1KG(o}+cj7vcnw~BxC)JJS0OX?DulXR1wW0eaGL!pM2}s8qWUXvGyDq7TU-GJ
zxhrt|Pa|{=HiB?zBZT=j!WZL4@Dy!?ub(eNWY1-g$h{1=j$Ve-x|czN_cHvOZh!|Z
z4N#xl0J+W$kf6~3amyPZef$!XU%mvr(U)M>_7bdBxdaE6T!M=u^}t+H500Vr(7&%9
zbmZ!x?Qb1yAFhM3@;V3%tb=u?b?{ue4)Xr11(*A^pjlcA0{*qIXjd)#kgSF8KWcz!
zpayu))xZYd8nD}011S<UaPRv?Sbg^*xR+dn+ovvq>duP{dvp;bepEx{-D-ey)iB~)
z4Z$YWpt`miKK-nM%lE1vqO=MePFKO!Jyo!AT@@(*t_1Z5m9V9v66}I1A!KhQ)XG)D
z6jLRve^LP_YbxMwcm*ihR6veO1#q%eK+;$_2sD<%#kg|V;ZzP^HOir!vm9I|FMxdO
z1^AtI0Y=;|K%4Fbs9k*lDrU;yVow=dFDQctK4tLLxD3Q4%fMox6tV_O;bnO#s0Wuq
znnfx6r&tO{SxVvU=y~vLJP&{4&qI#$c|bT1?|II{x%cP5rRyB1<edXn?{hF^bPfh3
z&cV%v66hEzfxgNT7zr(bFV-a>pjHCg*h?Vjbun~YF9weEVmRPl44qqwK~A_B3cnV?
znt>uHE-M0+pd#qEC;|^<#@x~(7<zdYQk&0$ZQ5B-c0UUo24~@m@L8DnRtPWd6~gQC
zLYNIH1Xi0ukl9cOrW}P3IavT*Z3VC_rvR*v7r<rX0^pY_fbc*0u<$q^{Oj{!QCvP`
zI_HBb<--&He2ALM1D*anU@pyrfirn<&N2@|RP*5Q@;tDf%mwrIT(Hc|1s9)O2r$Wo
ze3@M6X3mB0&vQWSY7Y3O<Ur4n91z)>13_Xr@OB{^Y#(OBNNqOQ$7aJP=WK}7&ITF5
zY<Tb`3!?62!IsJ_SQe25PwlgyK{E?7c(WjQHWPgMGvQcSCY%b%gh<;=IJ+qmI=D08
z!^aE|yOjZU=QH43PzHRq&H$s08BoQQ0lXj6A-XRe7N1Xtn4omvw@HVZjp<;*oetkW
zra{H6G;l6W1DTLC_-dO5{TgXdxhf4(W>X>LPAd49r$Rt@DnvP?LLQ{TwbiLG`XvR}
z2U9@rVhV)Dq(Hw*3JB|^z$uXwc)E}bTOTLG^@e0dbNght;hqdTw<p7dR5C;`CxhaP
zBpAP*1i9HsV0R)3)|)25AH^hi#-0Qn(}_^qod{(m3<M=Yjcp>dZBB#{zC`$MJ^`c$
z6Tqq_0W#te;OU_RShqC+0wojR*}r(u8;ghf>+!HYCmt$J#)GPPJannVgB@o){QVFI
zmAB)-t~?F|BI986Kpa%)#=#lUII#I03%bu@L8&Pgq_SdR?TJ{BGm8Z+l~^$2j0NwH
zF_7OM19vN8fF(Kx3|(U&bxRDqk%$3prWh!B5e*zSq9Hgx8h-gR*eV*9YeYj4Uo_y?
zD0uZC3X(2G!IqRLVD^fFK9eZOREPri<xybtJ`$8~M}lZYB=AK?0`I{{5ZW3Ea#E3?
zw>T0UUq?VpX9P4AN5EWg1gJPffS+~*+!BcZ@ju}ZG8ztVTf)IAKO6>6hr=G5a2U}H
zhr@#5z_bts#Uo*`y(tWSW`{w&Zx|f241>)YVX$;{7`*%*3LTF_q2g*N<Ya|H@~Kcr
zvIvFDO`%ZA9||qsL*Uut5MaI*0xH=daL_jdN-aa+y+#OZ76<{M&%yBcQZSTw2SdPy
zU~v5!1ol^g;Lxcc2-XOK@}FnmMe`Yu4mbk=cm`hm2?UGwKzJS!2wwVuz_TO}dU^sN
zIywNXjRHVxc>u@_oCewC)3Dj}G+3-U4dIXcp(EQLIBfjkkgz`tz3>C$5<eJr_5=5I
ze!%n27j9MiLZYWHIH~%A!Pir;>DnpKIDHBX=@cAfIt3XwPr^{tNf0qU34SY1!t22k
zV4HCQ-dLW1(?TaeeB1{fo%4a*gFbLn&Ie3pyn!0L0Z(~@v6eR+`g<JGx{kx$sN=x5
z<2ZP%JPyOd$6$NTF}Q1Y4D2P2!M{l_sH^e<4=*p!QuhM>1y5jV^Mr*k25<Ld_`sf^
z^}qu>vOS>I&IA5Rc!1sXQMi5aC>VGjg?k!D;ou*4;JE1yoiXkZvCADSc->*svm+o?
zd;}y89svb~Bd~Se4URUsF?8GwrVQL*^Kv)H89EGXIfo&_{xGbRJ`5Ef4#Dn*L$JjE
z5Zux^1bM87;Pk*jIGk}1Tx<`5r{qD1dglrk>s{fcuPaFExPmvUD+~^}0A{+tRXZ2Z
zmU4lIADqGOvNOm9IKz8=XJ}$~hV%yqATaL$_#8L@esTvOe%=W#UU!0LVNSrm!wDQ$
zIYHBNM-VA>gp{L>z`fBCivBnN^g6&~k^>Z2I)Ib71E{~V2i^vISQKCnf40~I>k4}i
zdAuL=iuQxg;r-B{x*z`iX9w2ZcF>t<2b(PIpjq6Gp)a;Db=ekD&)9;Ip)IWBwuRTv
zY@n;u2I@U+pn9_nTwY`Yx9?iR$1H0QcCrQ=d21;9W(9xRt>8eM6+GH&1^dLT;PpF8
z2yC>3wZWD!Vq^(<yq4fLZUI}XEI{d`1xV>yfXs3W(0IHL_Ll5}priZXipD-zShNp}
z@9l+(+`X{MbuYxL>;<mh=5Vgh9Q4x7;gh{NT#z$|qu<Ryr^^h)lFS(E*9=(JnZfdT
zQxI)41?@OfaJMjpGD%bTFtZ1=TlT=&=smD}?;eN{-vjKQb~ECU-GEWM;jP(jC=uHY
z2S4tD&CR=Db<{3cWWEdj6WaxUKbpYG>n5NWZ332iO(03a1cqjIf<)_1I1{@QrYv@X
zt<+8!`@93(+jjtK;tr^>*#S=LcYwrqWB7E_7<yBUq1wS13KWeY@0Ssj-Zp}kY$JH#
zY6L6PjbQsCBS;zC4ijg$gMr6(sE6$!%f20IM+`xy+z>`j8bXwTA>b-Q`1@)b+^ydR
z7lOAz!me!)B(e?8eB25#EnA@|ZYy+IZ-vk6w}Qe?1MulHfZi+vkUnStDH{!djl}@s
z9&Q1_(k;;FvjuFoYyr+yTVUX|KIAm$gJ+mN>@m{^ZApFDJg*1ZU3#!5O%FT|=s~uc
z9^74|2P=kk!REX!T=vn0)dso{&8rKGCv_nHiVlcI>A(#O9XKq*82{9Um$$T`Hdh;>
zk7&bD(1!gS+F(6K;8aU+BA6h34?&v*!Pj|&P2C9LnT+c&2N85PBh)WLkbe%)a1p>D
z2;lW@fOrW2-7i|e)T0G=vb5mbVJ(Qz(gJS|EpUIK310P@5FDlnd3!aXW1S|<|J)49
zcQ%7>;byqwwHf5}H#7G6&9H1*1LB%BfImS4YV0*&x2gvGS*!t9A8&%wm7BmQa1*TE
zy$O~|Zi0oc8{u2uM);k#5jZ_Jg1p{FFz4L}QPb+seO(<^B&mawlR9*$tApH9btrni
z0mSMyKvmcV(6!hAuVgns;vY3I7*Ye)GBp_XQ-kWAYLFzZ27zBy;p8n<@GDS-sAH;7
zWS|N+1yo`FqY5Z=s=)C~73gqNfi>DH5X_?jvs238)}jnE$;uGqq6~tX%Fwn#89ZMr
zf$TLUn2A?{Hb*7M-KYdX>`LG{t_W_8ir^Wm2toFWkh?(<+LkK9%$NeKzpMZrF$&PS
zUjg_xD8T8Z3h-`B9-J@B!*q;1oV1q*PIY;>v`iix#^qr36*+hoCkN$@auB>p4xBjT
zz~r?o7&OVk)+AXlb&-WbTCxz$B?}Ex>tVWeJ*-P#569frL$}U)kmO$v@gHU2Z<h=N
z<jTOJV=|DjO$Jm%WZ?0abr99R4s=V_0gK-{c(`jF)JU&`l;6^DW>^|dR7u0BP-zIW
zl7<{*X=q}VhSy_Kz<)&w_9jR{fwL6MXi0%Fj}+9uTMOcyYauUZEr=dl3l|O7f`Qmt
znEEaWY4;>y`vpl@8YBr1_DRA8MM;QYk%XgT5{!LS0&Ef`z|mC#j*$e!@=3tOPvY>j
zM;y4$ii7DXaVXd&4s+|oVb?z~xcWp4*4K+cX^a@iI*CD(rWly=h{4zQqELKO6f6ov
zf&Zi^jGKr;!#Yt&{wD$_M?}E&k_b4&iNFD85%5A0h~g803p2tn*e48&ON2r9v@k@Q
z3&RryVNhiihKz9`U~U#-{I?N;AMQdBvQ-FHi3vg7&o!{`!5Ua{aShyvTm!)lYhZ`w
z8W3N#2L62%gy~*E7%3Kn;nRZfWUnAhDha~xrGg;*MgX?m5CH#d0l0Ep0DkQd0OS8z
zx)Nxr-mgvOc}}Jz5s6S??{m+t5K053QdCMRG;31Hm@%Pb2$3-n5~0Wt4Tc6OnTn7G
zlGHB^>VMa_zPr}D_IcmC)>-SGbI;z--sj!VqdkpD=b6UvcPTRaOBI>^C`HD_Ly;M>
zRAi2+D>Bl*rZUBCQ<*J=QyIDNsm!w-Q<;QCQyF*Vsf@*U1xEX+0wbHJzz78^Fap~Y
z7zvI7GhI=E>qF!jrxtl8<f=SV87R;E+9J;^L3t)dL7w^eMUGk7EXP#j$T0?ia!mdf
zIc7e}G4~YY80Rrr=5MnslY3Q`*&HOxD7(lqy^Jh3kCJ81jLR@?Ph^-?c{0r65E+JX
zm0=bwl3`Y;$S~V~NHhM=rJ3A9X{IAWnvvZt%{W*}GpRGAnejhTj9rHmQ(7v;Xr7m1
zF71<Ilx?M$jM-Am0)8pxajztEuu76qyClgxJ1WVXTPw*p7)mlTB_x@jA0(KL`w~oT
zh6GdWC&A=zmS74{f~ioHU|PP3GasIbGm?ek4CkykbI4tsxnU*FOlXQTHoW3o>?+1g
zsT5=OB#JSwkBTuH9mJS!BQa*Tlo<18Sd>X@6lJ(1?#%ERQ6}A0l-agKl+jTaWhVZJ
zFi$&0m>cCH%%wOHCgQLNb7qYQ6JjXBoR<_~vWA73nnqz};Hoeq9U{yubrWU+EQFZ{
z8p4bMk1*FC3Neo=g&4ymAtu#Zh?(jr#KoOLjGBTFbA4QpS=uVdyekr9qM`(u#rp)A
zpDP5J+j@dbkf<QD{(}Hx_)vh6%@JV!oDpC~cL*>aEd-d6nF7oNuK**~$Iocj@H5L(
z`I)1q`I&2*`I&bder`U=o&V-z8aw$I?c01zcp@M3-*G<1!;z19XUesTe9VvkrZ8t;
zPGNL!O<^8ioWh(uGKDc*H-%dhnZgvyPhn1f<7L*g@iGP_yo_utFZ0)nm-)Jum-#%O
zYvs7}aUMptjfeX^53?qghw(Yg!xTC2FrOB1*A#e|uOI(meBM7?vF9Jk=>NmPk-zw;
z;4fC~|BE$-fARU)Bz`ZR#My@@areSWtoZK_DwY4iFz-Jo%>2RlKfiI|-QU>n`y11i
z{Kh?eztN`Q7tRm)g$B!hp_$k(v~T%|C!&60vHef{Dfbgszns9*gbAGEG=T+b6S$=J
z2ll7`z>97_aJ|kC)c*7z3KaZ@;|Ko3FZ2JyKmUD4#oOO;iO+XDvG_aI@qI_-2j9>?
z{2Tta@*AFz`GyiN#<4JA99^8pamI{s9PR&#EjeHDw&z#8HSa6dj*nqy*%(eaHHNTw
z41M{>@cF|pXcGAauiAe>-Kk%&ymJ)Sr;Z}uj#0d;Gm4=jpK)99XS6x?8Hw{5EqFiU
z`uihzJYoc|+Ku3l!U!(t8pi0fVf^Jbj9z+N`{ffx-};0LPJP0mC7<xB&?h|B@)6fv
z_=rn3engJ?M_fAi0iE+cV8Fo-c+2zyPE5W>oBH>d6aF6M?cZaR;(MI-dI*a$hj6{;
z5Q-WPVe`a0Os;;1CxYMMu9fd_yZk%!>>9*?^g+yVAH+_>K~$L-K#%GHd=NZ<#;XP}
zPl0QD`td<#KYHxxN0kNr*!lY{=G=RW0TFM}bM0H)rt%iu`up%$ULVGL^<e|khrIlK
zxV*U+uf+DE;O1WR*6PKdBX2O|)*ICHeS<C5Z!k#u4KC|=jjHLd@sG!A{5bzL4*u!E
z&ka2&5Y>aajy>q4(Sw&hcH_{^ZtlJ7#$2mzoG#ssS30`TD5DFX?CHW2CS5q6rwe~R
z>co}{omjBB6O(6mV!~JlUb)kOWoJ6DYjp>TD|g`Xfmaw;@CrwdzruAEukfM7D_r)f
z9oy5}@zCCOR5okJr&HSTLd#2ZO?ZimU0>oHgO{lB^95?vzd+Nd7r1`Y3k=YDfp@;N
zA#Y_HI)t=g$(lCQnBIm-AD-jP(&u=~?>TN*@f-!FJ;$2<Rtzm{#my&MaglW^>dUpF
z&YNdwnD-2q9(#tnES_PU)H8h6^%Rw^KE-{9pW@TSPjQjNQ@q{r1kJObVEdsb=)LF(
z&K7@yZ(lveYgv!+^r6SNb<ty7DgGF(J6dp6b_;IvYC-?SEm$DYf<v9nsDHH?eUCKb
zYx8DYCf$s+Jx#bYuL)lsZ$dAtCRCGe!smUB7+2VcZa$5;#I_N2l^RiP=n+mYeS~^}
zkI>To5qhXU!sL;M*m>t6YK1?<Q;rYujrK!a{rv$p-Ftv*&p*H+mj@U+?*T6SdmleH
z-^ZIt_c6%hK5m2iXe)dlm$WyaMRo()A89~O%La^*YruPN>yfv(9&P>WG2N~n1!mOa
z;n90IdiNe4J$Da9w%o(3`uA|{WF3mM)L~O{9VYInLoZGpZWOOW+wNLimS2l&Pt~IP
zidu|Nt;O=;8XT*v;Xao&7_zwr2lQ)j#oubId0dT)Q>(Fge>J);u0}zbYAo%$iwBDD
zqDkOg6n40a?`GY_C*P~E{(coU#8=_7-BtJjs!&|43YqRoJbJwnD^FLVq+KO?YE)v|
z*E`(j?hZb@cn8<+x`Q9h?%-L`JBZ!4as2viEcd;Qq4u|Nhvsdx{a%6Wg9>C4E6~!j
z0ynZ1=q*)&nSJHhb+a7Rg3Hmvu^jKsDaYB9Wf=FQ45ib#_HY@_wl2eaN@eIVd<)g8
zZ(&!=EzI0;3%PY>+#q@j&3j7Gtf&+ruoRcBFGXkFQat^q1oNJhaQ$KlY9B4ZBg;zg
ziE0Th_;M37@7+Z8_?wvJaT87GCbr7lMDM|3)T=1Q_h*Z-$fXzq7Zjt5a536+-$175
z213vcG<Up#>*wCUBRn@SwXF!-t`?!3PZ4gmFT!H2B9#4Ah(3=C@oRb^9y(TtleUF;
zVMZa&|6YKv9~EHi<pNyiRe&>W3h+PG0&E|<j&=91V|mhbtT=ET>z7`~PUY+PYcwCV
z8uHQUQa&c_&&PL``N$}9k4N)RuptjmUdqGY`}6S3(mYgF$-{~-*U<I;HB?N#hA$6Z
z!&K{Qcu4IU+KuO;*`r+4OU*@{Be`g3n~UZexwz%WRXo#j6>nu+#WC-zXli#AL$t4A
z-=7?`dY*%&xjAUymxDLf=inm!9Bk*yLGR9N)Vh(4-67eSvL%}v%d(Lb&qlTWEEKw(
zg}<Y-@aL{9<Xx17a#OQ#-bf~{ug}Dgq)e<kl!-#ixpR$7ES$(d*{2!ko0Eb6ozB2x
z>oahQK?cSPWS~h;I=(4M$Ma{?arKULoXSbZA-Qy{`*eltbFW}r(iM#Ix`O9zuVAX?
z6)gRohA*C{;lI2zoF9~i2c6TfVnG^;Nu=S<!BlLjN=1xI#hd$5(Zo6x>(o=xapE#g
zJiUzRxtDQWz-5$mx{Mw3FXJ`w%NR76g1hgg;QII!TzMb`S1n7yjWbhl@9$)cXiLW8
z>&e(3oQ%_5l5smEW07n!3JoXW?uI0MemM!Pk0)V+eG;zFOTr%hBs})|5~`G6!iO=J
z(AV=4E?RmCMbs~0_e3IAv?gL|ej=U=PQ(zGL=3}3yeOZD*FGoU!-om@B|QN(d=k)U
zLjtB6CE&1F0$RL_$BdeI6i<rB(?{a**XnrmofD4|0`ZvjCJwD`$KjXQILz1|hc3(G
zP+KbwzyG_4Eu9y!p!6apMqk88&x;stbrGXAE@JARSS)Lg#aG3#$agLlP2FShuw^XX
zR*yxI-xqM(%L`a{;{wi&ynv~@FQAI$1x!=FfCj(MW5dhy=vI6lCC{D58u#;fa_M<o
zq;Vd_Cu6uiItFV?VlX#41~2W2!C0FZjGq;Q89Xsq-W`oE%cF5JHX7$1jK&=+qcKZ2
z8b<}9(fn-`UcMWJd`VGw;8+yCTN{OLhEX^o9)&(1&f(Pi=de8e9J>0RLq+Fv_}uIq
zCMcZ4onIr7^CS{g@*|NiEE31vB5~L}5<ja);?F;4QM~gk>Xe<u6|ra0``}qDTy+*l
z^v>b}k+T^1E&{vmaW|A*iNLJW5!~}eU<^c{ykZ2VehbI>t>O5jFdPp@hNFgOIJVn_
z<3;Uobmk97y|-b=R}+T)DPh=rG7PIWhGCg$7*;5R;l1%teEBRC#|lGH;an&#*%OLK
zmWN`oPAL8m4CP{&5KOukf<Lc>po?D!KG_n2R%{41sD$9kU%}Y(Dj1KH1>@AXV5~kI
zj0e^Rqpoo<ev%Hx($O;*^7ssHyM6{O&YnR7&oij8{0yq<o<VitGdO1`2-*8VxG^gT
zeS(58*EI-x%!5#AW)N=X<<5Hpak4rPH>Cz*_31#IyCo2>uz@&TEf6#Q1fXGe05;qS
z!0kx^D0DIaOEv|dI|iV(asYn%>5t_d{uo)|j~<EsxZ2wvIUD`a2>j7N$sgzc^uxs+
ze&|r)hX)e<FxJ}-Yc~4fH}FG4Wj`GH=8LCGeNpSEFLs;wV)~EMc)a{HZuUNnYw$E~
z`0az9l|C5d<AZg??TX~_LC4xtcst+}&b2&+*9A^-<H$+u2|bBtm!Cvi@sp_Z_yqol
zI)MZBC$LxU1P;IOMxg|6G}`2io~qth^7=T6UpbD4U611@t>bv`{V^2GJBHWx9>Xn$
z$53PZD2|sN#kS)|v7R}K_x>KiXSGLgH0TJb+8jYgu_KuA_%Ke!9LAmN4&&=-htaLu
z3xB72VVbKKI?VP$#ZQOueZe7oc<2z8nH<8>Uk9=7?m>JVa1ceT52Cr)K@5L#0Q)W+
zKx@YXSgCpd7xnGOXIcC4kjH-1n71F_jPJwz@_iWMvkwoN??VqEu5I3nAu)R~fBjy3
zqp}w@`u5<#>^=C@a}Tmcd${?8Ct6f`Vz<9123mU}NO<C8s|P+w@W7%i9+*1I15-Y_
zV{VZ<-aG2f?KE^pO+I(r{b)B<M(xJw>v!Wh)!iuGzY7y{cj1BqyRgS(7sgKR#Etbk
zQ9oiQO0C(6|EBH4$v18&lH-P&``plWp&R=D*?|rBcHp##9q7Gg2fkO@fo^@S_~oiA
zh8=K4Lo-(#__rOiA8f~?QQOgB!**P(z8!IB8=4nxL&sy=@YJGhcwJ~44nJ{0NN~Ye
z7Z;q=aY3)Kt@xv2D~1JZMP1vi_)=~w#&mDNO<7yeaNib`H{F7QJX=uU(PorAzZvzN
zHsiWkn=xX<86V$rMs+`D^jYSNA7q_zd$$vQ$Z|rT{Z6P3PWX6=6Gk*|!gX<*P~T+}
z%Ffw@{NFYr|J{u!6S@)SuGxqVsv9xvog+3EIil)GNAzCmi2YKI=+wCZdowrSq5T_B
z1~=ec{tbBi$$DILX+6rht;cWk)?@##b@--X9lnoVhku>cp~h@3Yxh?NJXhs_uR<Mg
zo`VBkP<KH7PiryY)>@PZSc_RJ*Wz-ewfJXX4c;kQgCVEZpo`5Kw31(g&})y7Z;w{T
z?a{^39)qRrv7*}!e_pjit0Q*YywMH?CGEH|dNuycUX8(Ct8vES)p%cgHF|ffLdaf)
z0$!`|^`cc+FTM(Ib*#kF?3GySwGulPuf)F+D{)@e3fy~j1(qLKfl?ML&`Wv+_V?JL
zOP(!$IBtu+R<@`iZ;Ma+mSaTWa$M`P9B11uM<J!<`0d>?94T3b;{nT1z<wEOsxQM;
zBQ|*EjtxExv%zVOHh5Uu2D`smqy0T=Y>lzTtuEF$VPK7yC#}$~*$O3-tnih)6&9FT
zVT_O!`n_C=C$pAfz~QBM(PAl<$S%b<eU_+r!xEkREHQ7jB?_rq;{MMT*k5IVu8|fv
z>TH1_b1hKsk2!WVnPYsCId1hd$N7vo%88ld-_9lY{n`?oII#qUY?t6nl_j|B(_%bz
zXEEN1Sd0SBi_vNBVyybJ2=!VPVOGi_oU?Bc-l0Y4D76TAdkIU62#@#^E?Gl3O_NJO
zJI><AdKL#Ra_vqQ|Cq9<B*LP3Cx@F8a<J?a2l-ZUaFaR*tG+O(SI1!11qSE1F?h#>
z!41L;{_8+2&O<!t!!0haMwHP&{Q4E}O+8?H9AM{ezz+z>CjqGY#tb*zFvGY&Gkm?y
z42^WmFzS~n{%khIeW|AS`JgF!TbiP@qA3=CFu|>rCa4%?f?eB8@Y(_s3=%Ry_s)g5
z@%ln^@LPyZYZu~P?S&Zra{(4NFTlan1*qw@0QXoez#63ms6H|u!)oT^zYFuxZ`XVj
z=T^-!B<JJOx5oIj)EKXY8ROo~#)wA7C@Wx$-(MMFf4&iR`x#-cgAtDE7@^3dAsRe0
z#4TBdnBZ-QJu3}Sf2JXZ{x=UlH_pSYsq?VYYaaLiJ`cxK=V9cS0nWc~fCHBdFm1m9
z?y@vMGbIC*|E!O{>-2FrULW7@(Z|sx`pBcGkE+9S(V})P9*&!fMV@o<zr}OWdg@%v
z_@sv-wR(6WP7l9(>fy;HdMKu-huOn((6(+4{*Ir6rF-Y#35z+nOlb~kj_RUNgD!r*
zq>G;q=;D}_F8)*1Ma6L)ghx8KGgSvuj_BYUTOHJ!se}F#v+?cY*|;)mHrAb-&HYcz
z#wMNFxb>elPQK8_tbA>B4Ae%2P1@LPsLl0r+8Fj)3-_05;nuTSxY1P$H=`DM%4lKG
z`&pP%Jqz37W}(==S-4{9ER0v3g~Q{TXxpTTCFz<t`-CQD+H0bot|nIUXyS%fGjXzT
zCgz9CM7OOoQO9&9ewUny&F?hu`dtl7h||ExeHwVyN&_!W*TAd)&A^7oGjKS22CDha
zzzrK_VA8x9_(5m}w}zyS8RhCI6{C(p?&`>Au8wDw)lq$XI^JoTj@vS)qm0jVY+5%R
z&lyZdC!y(R+^dFi6>8kLsD@)6YB*}4#?5QgQ0PBZocTl*t*)x#VSiQ3+oX!a^HtGQ
zLKP$4so;ld6|_rK!P-MA$XTI+HCigT>Yp+WzEZ~EVr4WutBeC~%6MgwGVWGVMze7x
zlx<PM@7YS&=ck12o0Rb70wsJSsf1(ir=j@0X=s!(4YwYfhVk~(@Ri;)oGCaBkM=6!
z^V^CD7Zovgzaq|Du85hl6w&bCRBY&&imoM7Q8a2Q-f^FbM=YnJnfg@Z|D}K(Z3<Xk
zsDNqV3K-+2fDwxo@SKVQCjBRmH=fDk(|mcH2$4r!S9x?LdCXRl$FJYy(B`Qe=H$tt
zREQk<ZI{DetQ`6%$)U)1S-kvI7CHH{*dHQ`7hGj=#UfdhRFTDw|77rbs|<!0$l!r+
z8Qi*)8&%9@&~ds9ZvQ2XhhIu#RIxPPJSUC49@03~S{m1BN@L1DDg4|eh1TU#m>VmF
z@&~0bbfpvu%#p%yK`ETpFNuZKlDIlq5+{yJV(vOgbTyVlZ7E6o`bh%sKa{|XED3IW
zmB3?LC2${yJCr2w=zroE@?0FR6p7=#NOAn^A&xU`#Bqz3IA%-{$1iWh(5gxdvo49D
z_;E2jwN4Db8H?c&X)*jeB8t&XqNtZEijRXu@x%^MG%y#%PwJvrG%13oyF|FSPy~(R
zMNsL82nw$iK^`OSkP<<W5n)tr62|$t!niI(7=7J@vDiWwM>K@dkVhC#y%xf!l|nc-
zNeE-Sh4AkNA@nj4!ZCRvJT@+f0<D6WTqKB0lpwy{D~K^G1aX<3Ac}|z;<NVxc;$fr
zp2!wJr!xX*xkCUKS_q)QOaV0H6+rCe#}(E5xbreUhWhYhu`@poGW<A0g&$pi@nJy+
zAM#f4p>qNsRv+WTIUD#e#e@&1P36O+?^96w#T2|<G6mPiPQhPZQ!sn&6x=j_3Qm=q
zf}LM^F}sx)PZaaw`t!U9hj?+;8eUX1=0#aqUR3zXgELxraDFilt~$?y2M_UJ@){m|
zV$6f0ay*#$?jIQB{DanA{~%cBA1wdy7u2r(1s>18Fs}C(z7J1=P{AbV?4N{<hLdn<
z><@e_{sYSo|AC5yf57a=Z@6Fn8+M%d4KkeH@ObhUT&n&BNBn<*i^VV4B=8GdAN+(<
zVLu_$_9t{p`~=OX6X1P*0$w{zz*@x#Xz%y|9?3sIeCrRmtMLPT2mXWAIsbuy$A6%z
z{~suQ`3_n)zr&KF-(e4YhwMM!V6^%hSO<QC0;_K@OY|G$wu}QCGY-8D<8Xf3IIQjd
z3YuwOVakrLFgp7yeEKv7{}qmb^x-i8voSdM=L?kAd;y6wU*O=fFEAkS1$MTM!hdn2
zaM5WLEM|<tzk$!tnEM$r_kD)5^FKr2#0Z2{jX+Ak2-H}Qz*q4RFm4?N|M+2e?K}+2
zXAVRC&?i`V{Syov`UK%-pMd^;1m60O&>Hp;Zmj+YsR|z<sp|t|U-<ylyFS1>{STn}
z?LD~Meh<Zd??KM`Jp@R+hkwt9ApFu0%-S{t&9jFf;PX4MDt!mjPQ8Pl=I`LW$U7K(
zItX9l2SH@(AQ);7g4@UdTrC-ZpC<>v(P97^L<eATYd<_n><5=^{UD&*59MFpf_M2_
zu<?5fS~hP%TKX-Byy^q#v_8<<-3K;?eQ<oD7jD(`!j!OHaJKJ-dZk`~w{M{G+8bEu
z^#+ESH;};p2G+E^2IaWdFuLV6w9bAF_rCN%ZAA~X1oXg=Z4XE)^nk_dZa9<E4KEIK
z!+h+9%Y5CS*wO_laa~~K(gm%$UEn|732ap-2!(XQYr9UUQ|^S4feyG?&;d2aJD}6N
z19&Amz@+^Z9KZ4k9(cZjSthUG9M3BdXljSBi|wG|(hj%hw8PHtFG0QLCA<rN3Afk1
zgrpfSA?(u&2)gwG&icQAD=S_=z2Xb__O=a-3fkbLcN?@?wt<Os8{~972d$jvP;}@y
z*wAwr5qS=&FIr*Cl~$Ouw-xxH6+ZB{Lif{W(3SiQhIT&#o`ugqoA()PY<UWaiBI93
z+f!I%{1meOK7naXPaq-w325zj0(T9cz>dkspxF2rUdBC!bl1ml((o~Cn{0u#jV-Vy
zz6Cb#Xn`X}EpX{?Gc+|dgGgdCtlilR*XB2aByTgEe%u7VlbRsNy$O^}o1l`v2|QaH
zK|8GxKJRUWI;IiQMH(Th{Sky_J%V#yk05QyBe*N|2tM>Ygc<n{!S%#LxM}kcq!b^*
zvB3v0eDeY94R`>*>>j`c^#=f-@586c`;Z%PAG|i*hvmBWL4TqFR39{eVq61EcWVHn
z1r1=w*8rzl>!IXIJxm;^2b;z9kSSFU;&1MOU%@@#Ieib#uDl1c)b7E<;W{{8SqBTw
z*1;dAI(VvA2SvYYA-Sm*Vv}ki!Lt@}m|Cb4tA!6;HK3Yb15T%EAbUj(Osdwv){$yx
zsj3F+b6mTn8n(=<hTs40Lgv%Eu<^=WP&#xM2F>q6mE2vpGEfE4rBx6STm|PhR6(Xr
z71aH#gino?FeAAVw(YHi>r@E>(v`5g?+&yV-vRp|u3dKrcF(>80zYrV^~T$<E%`Rg
z*moN~ExHZ0GPfb4zk++-3J43SfXIy%kgQh$Ws~L5^Q0W4(#v7R;c|$zDu?&e%E9_m
z8QiEU1MTQC$k|>7^B0yuqfi;_?Yspl*Ka|a?=47Ja|?E9-2(H8QqXBC1*OZSpm4Ah
zR4q%vK(Q27d@O+@RV9!cT>|f2OTgH)1VThhV5sLNthsR$9tPcnWsW!Dh2Blr^RE~r
zpBKZO>|*dbQ4A)lih+M-G4y=D0kw~AKvBvKxOVUc6fV61)k-&@bEF7(>WaWHt_VCm
zir@wn!4$b7*fLZI4R;E`B)SlacN79ZAv8%8!tS>PAXQcXwGjny+NA)NE-U~=(E|AP
z`Z{#qybg~;uS3)3>+sz8It&V3hbcYzpj(^|P9gb_;G7R{jPk)qC?6ub^WfW!JlGkM
z2XCG8z}+|xehKA4T+cP&+`I-Oq1WK*mTRzY!8IV!YoOGd3x7*<VI(3KhPLIxC(~T`
zC6Nnq16RT1_Ep#seHD^-UWGTDt1wsYDg=JWfx+q=u#d}u2YYhB+9C&9m2zO$muwJx
zkj=dg*|6hqHq5lmhL0NAP&ttWiBGb?FFOkk`eeZ#2d>r20{<ylkkpY0)kT>w5|Rm8
zTQgyoNhaKs$OMtW3~;Z^fae!7z{WEJ9++o<opJ{BkEMg(qjZ>kB^_QJPlpS3>ENit
zo%5sv&#NoYUw8$cgj|7!t=wVCJ(l9G4W$8ZO&aJXq=D0cG>ErJgYFq=p!YKsf}W+q
zP;M$X1f)XKrc|(<p9(L;Qo()TG6+>&hQf=N!DZiNP_e!Yz3P{tU?K&ApQXU=YboFm
zm;%e3Q^00n3fN1gfa_2)_|_ytR$?-=9ZCj?70Iw#D;bjhCc#*H64>2Hf{O4Y(A$v&
zIcyTlRZN0AUoLU|(k1wwaS76VF2TADmq5<w5_E}Pg8YF*2)UaGo(YMt@lYbztw;oW
z?L=_mNrZi!2@p||05{GhK;P~JP_{?_XSD>l`Xe4DpT&byemvX@j)w)?;-P?v2ji*n
zQ2iwi)-}b!x2!lw@r#4iPH`Y=5(kf^;~@FdMew?R5!PP02%J+FVcv#|pl5s$3?(iC
zy^n=;_hRA5<yg4v9ShGKVnM<%7S@QxLfX3v@T2wuY)HAljUgAn*x>?PpLYR_#4f<y
zcjv*O?mUdAoQEXu^RQywc@Q)@50Avp!^QV8;87m~Hfb?1?^Fz^JI27Y1u>v39Rpg!
z(EtylVSQ#aobro?Jm+ZWH;V>Mg=p9_76o@(qCn|d6!-*3!N=`Uuys)s^r%F^j)`;d
zt?e8{-Z%#a=gz?^k8==VeGaT=odYpm?z|@w3T{V2WPBtXJ{$=<>?2{bK_qMui-g_p
z&%()uvk;el7H<2Vg(2s&po(W<lj2!O`xXJC&mzFOFamPUMu4<O1o&G=!0%ZRaC%Av
zi1da-N>w;OQaHRm9u5)f!(qvSaQG(^4);gH;9^S{?9B^<m0@9EvMUT`FAakknqe@L
zHw@;!357*fp|B|_6i$1G!nF;d@Ooh=sK|$c%hwRN{xk&m3PWI9WC%ANhk(g)?wU>r
z%oPfOlEGlGtPh6n^kDGu4+d?QU}&dch*k@RHGj^4YS$U~TyX{-CY*u1V`m_4{TT>b
zcm{&x&p^m{5S(ufg6tbXP!}Bp@Ae0Q?CKz}G6>@0q9C|G90+pFfv`I-5E{Y*VU9;2
z#4ig3aos=&6AlE)_W_XfAOH+=0-z;001oX80ClSXXwwRS7=Zv-Kj;sd4gN5Z=?^c0
z{NeTvf5@@)hvZrQkjU>3mk0bHuig)8GX0<@$PcEt`N6!Ue&DL*2dM&naKFhHww(0^
z!Ii#nSHc(0JU$K1QK!Me?lgeRX;{?i0}dB_z}vwG3KV?c>&sJMm2e7jH=Y7jl~ZuJ
z`y?1%J_*mZo`e96lVIL|0%WsJz}U_c@J8nZ^nCP&kNMspxZfL$jl5y+_;DyJJq|L*
zkHZN(4qyKq1Mli%ARTZFZdo1!PoZNlukk4GMIMEBtB=Af*`v_$;s|_5I0C}XN5Dk=
z2zb3c4AohOLD~H<1kF7RlcQd6=B5{@9`ge3+g>>K_Yg33hd?s;5PVs72>K+r<Jm#@
za`7NYZaN6e^n-Bp?E$FCJ^)Id2f%;c0hk!y4?gAlLB?l4lq}f~Zi4$kt7#v6i`oaR
z4*TG)(mtqoy%*{-_Cn|Gy})a*7fi<Yz=`rb(Co7Z^ey&4vhW^Ie(VX^7d&CfMo;)S
z-4oIWJh(p01K0x|FvG+HWdFE>Y@IvI2z3W`l{@T~cZVz7g4Kt#-LPoaZphHz4O74E
zg819JK-+&8+_T;V`z3dQ?u(r;mb4QdY~Klax;r7|iyK@nbA#)r-Jo%)8+;dc1B135
za3pC5G;ZGk`g3-`<uO-Kt8j&Dey*_8#uYwGxk6U^cJN5u4(zV&Fn!*3kod6;M60)f
zLdZ5SSiKD#6t_X>8y9HIaRKE6E^yq;1^Rhh!1>Wu=#SY7$2V;SWzDV7_-PA-mTUnB
zpDmzowFTs*ws3LxW)Qow8B{zrgW3Ge;QGfIk{g`i?Kx*Kadd`w4QCMi<OBgFP9T2T
z2{Npmz(&Riesykw+nJjnWZx#(Zng=QPuT>En>T_*+(uaIvJno>*$Bzs9HH&5BPfSC
z!rrxx(4yuD%=-;+t9S#D&jxsIy#bEOZUF6`_0XTQ9<Co+4?*mDa2H+=PS4lDrpxPK
zr~5kaU9b+a{yD&_Mh8%ebAVmj9H4Hl1I(FN3#s?kf=1L@DB83ZR%ow<?_+BquWAkK
z3tI!UZVjkttO5QJd-zpu50gRmAYpG0bJXm?;e#DSl-j`)e>+fLWe2B}?cm+J)v)>I
zYUuM_4F^}O21%vWP(HW{_7|@LW8YOUWyLCZGi?<-99#)^i&sLe?@D;OVkHbKtptUk
z6|lTy1sC71fX-DbV4>;?Nd908(q*;~9b^k?Yi!|`x-B@5EC<Ou%b_K7IV7xK4hLo}
z2ZyiAU}?=VFh92pY@L_EwmHkVd7cdv-?xF0SQ}X2Y6GE0Ht_zRH8?!BhUR2zu=liv
zw_pvv!q%YMZUt|$tl-LFE7)&g1<Pcuz_4#AXcjGnnZ8Rwf7Md3R9gzWhAkoPjwL(`
zw*;k4matdX5?UrKxbegSZp2%_!d({7U}6E=1T8@1r8!h(nS;*}b6B?295fWnL11tR
zd@or7UxJpv4~Hcns<i}kzb^)dhQ$zZaWOo0TMTL@i{Y5yV(59fh?_qzf|g^8V1vyf
z7@oEWB0mt|ZG!P|f-)z9khuh0*(zB6m<2YK1<nB$td_9gEX%^_eh%c7aA4pJ2Xr=Y
zfJ?IgZ9f@cniwcZW?=3<25v24z*dHV;kVq^DkTVZ!3c7W2yb-}Dt`l{w*Xv71&BHb
z!2Nk}O#$H1kQt0un1Rk&GjQKx2Bn5(AkJq7`(KzsPmU?9KVb@8D@?&t-4q1Bnm~TN
z32ccs;XWTG(9bb}TT&(v`*tCmE?o#-q1@rbJvLYfvAheRv~2<O<tzZDlMBFk)dIMt
zu>knK&xc(P=flgS`CzwyKD;oW4{lTE1J6fe$gVPm4Kc<b=VlC@X2y^&ZVX|)MsTpi
z2zG=T!FFdO@H8|6Uw$J<d1VOq^9|vbpCQ0HLkQG0gjbXEz^rv1q-W0q#gp?Oe)T+<
zIcpx2O&Gw276X`)ZUE&+4dA$~0k@W507~EW;nyR57`&_xU0(XoZKDrEYWgtwbuLVQ
zI2V?s%mv>=bD`RLE{Lkl<;GY&sCl3VdMSF4c1RCq*yzDEH9c4~J_lYuoCBek=K$yM
z9QeI#4%Dm9frRh6aI{GmwqDVNHOF+pZlx|bYU+Z=PaOz(q5}n4I?#Jk2UOSSz;+!S
zxcPTBNWPd2UU{>j-+wl2cAO1;2D4$mz-$oi)`q-dZEy_J1}PV9cxIvvDH7V?HJ}A+
z?`Q#?*Mj-(T420b3m8Q$SoL`pcs9&}^U1TI-fI@{*v<m0nX@47rzU)PstFEPHKEQ|
z6L5njR2pc4ji4sH?wQHGk266hawc@|m<g9SGhw^@Ojt0i0n+sv@L!S!yz|n4URw<q
z(A0phzh{7G+YFeSKLZ?tW<aF#3}{|30~91?!0thHXsA+$xpC@{yiXmbTC2k)b#>60
zm<}~hr^B|~=^!339cnjC2fz8#!A5*KC=aT^e^qMG9j69O`_-V{MhzZlsKN7Js_@~t
zDu`TH1>;~<aNDX1SIkslNJbS*KdC@;y$TmMs=(G`D)7Qi1svw6Ko6e^9OzL7@iJv7
zj#h?k9?GC>sSMp}%3R#51U}D{z$s4&EY2vwg00+L?w|zo<&<E_$TV<#FpXQ&m<H)5
zr@@PL(?HgcyCymfat0KEr&<xVCn`dVmm-+2QiK{EMX=^m<l@DtaHxDLC|sBdwR@++
zF`KDiqB#}*PAb5YR|=4OQvo8+DZmML1vp@-0Q=Py;MgyD2zwz9nMLyOFhU-_@015U
zb9wMklZWC7Ic^)b9Be6+gSv1zn7307vX;nkb9Xt&pO6K%O%~b<W#L4GENJhNg)Vbh
zNSrPUF27{J@TClh6wAP;NEvwPF2jwjGTiGZ11*!%(A^;o<E7FdcU~Ge`=nvta%srb
zmWGij(%hF%QV@Md3O>h6!Mejz&|oJ8q%Q?EB2r-cP7+?%Ny3R#Nl-r}2`!G25V%kh
z%w;7(bW{Smnk1m)sszNHkpTbg5^#8t1RPM6fFnP}A>gGrB-|8-vS@L5y;mG0ZN<S_
zM;t;0#G&=A7--dqfnSOk44e=HJ4Z2SSSSYOa$@lCizsY(EDE3VMB!YRC>IZl!jPpX
zq|FqC?L49|_q7Q8yCVXfi6U_Km<U{3Cjyt}i$Ic$2&9b)LqUr$)aMC9f0!_c?iL2H
z5{84bgyF^%VffiA1k0<1AR|Qx1WpOT{!K#AXC?$ribC-EyCAr?3BsRZK}d)Z<oaPj
zc)v;zlJy0F=l?$n@4qbU_boB0w_jjds}^UfG2Uz1xJu2eGt}NpBqrEwyXaN3Ed3TU
zo{8^f_VZ<63!@9QvKAm;z6Hj0Pl3<PNa#1Y3@0xaLhOfH@a5LOB4&R8QKi3-{aplG
zS1Dkzq6Utx*2noj0B1{B<Ixxgd=$7HoB9vn>>IvVe<TD~EQ><kweeVSJ{6Y>U&Zj7
zMYuY)0{365!<z3+sC4uN+UdPPj=~2lnLp0mdo+p91o;`)9U{#8E=gwPUU|l6nlj_s
zqs|Q9(PH>Y^qANNBPQaDDbu!qxP7^njJSv`^E|<xNnYZ}IPh&{-u1XKi=XXbR`z%?
zzj#kFm(=~aJ*`2EuYV|0VtJMkmXBr*jb32hzl>*G8k3l3k5U=q7a5HAa1N6!mCu}~
zBF5gkgn3$B&Irm@F(3BVG6y;un3z?KjOCNZjIYyk#%#Qu*%jB#Oj+8;@cbKO9P2+a
zycb8Au>;?j8IC`hpyhuV(M(>>4jq1uZLuKd&Jqz$;Y%@&=0Qo0tc(oj_$@h(-L|Qm
zI2k35)dLldQ^0i2Gjk12hVU#-%X4jxZKf_~+KIUw!*%mGQ45VZhAIm=Qi5h2o&S(?
z>=VoRF}RqMIcUN0{%FPV`nHS{$+wboPtlGeW3-mzwR$~g;Lt{nOOi9E|KV1S`|s_X
z&s;9Jef!-xgIpfERX_G~vdq0WL+6ijq~3dTl+1lN{&s$x?Nb6c1-AmZyu)WWzS<!i
zp0}Z#fmAM^qRUxM%S<k(<4_c54wozP&G8GIPnH)sE9BxiJOc?F!Lmynr?bhNN!QDq
zk8B!8Lz&A9I+4L~?a1PIR_1U@uW&g|!?>KNUe`IoTMIc>D{pWr*_)i*hNYZkT4fw(
z)e26U!X1vBOcm#*WHslsWG&~A^gYfw`3BBY<p-RFnvXb@`b`{HY~koGd%_Xh^o%3C
z_c>>JzzdFTVml|YxP#N*(#2W+sfSZ5+RL$;`<C-+^#JGak#`)Wl=qy5`yV++zYcTs
zW{h(BR*!Mw{l_^gO22a^KmOq4&iut$<@|^9G5#;-t_Kh6AI=r9$eY5BHS@74qx|e5
zIYGAFREXWNS(qIR6k#{!iL%wt#aP8jadzu$Nj83s6npoyH2XYHhJD!~%QgthvuS1u
z>`wQo?9?PhwvfxiZ^*06CN5NAKX|CJ>Q}g$0I#OAAU%UsU8cdl4VcM>S81|xKWDM0
z7HYE%hi0=QMLO*Gs4n|*o*o-_U@mJ^tk33rGhlz18nPN(O$p6fuI_~30=8h~LU!Rr
z6ZU+MDOa-y*v13MX53-eRYEMwm2+p6t}J3rM;EhNWX|?QTCkq4E!nzxR_r@}YxZTE
z4I87goSo`p%kF4h!JgDv#cuLl&GNL{v3uvOVbem_vI%b;*mdlB_C>-5cG`DGu1?S<
zcA(IS-6Oe~E!n$;z0<Ol^*7kY3Pf*bt-iXlmh0TuzvVkwFSXrlMu0ne_PqyduzC+0
zc55%2%q3Xc8FGMq_vIj~>g2@=akYoCjkx+mDaY8qqTcMS<0n}4p_44E_hI?(pJo@S
z__1xz{n(nb{_GU105<7g02^Kr$UgB3V%-h6I#D0au*sRh>_V3icBX15>-s8`{Sh0+
zzP1l%r%6SyS<Mk_Q21H4)P}30C3KDzzkiN3IupfaTSl{c_+!|B`WSX7=scUe^a7hE
z7|V`7h-G8LF0z5Pacqr5JZt+jp4GgNz}l?mYMm)vVvqG)V*Rfqu`k_{*<*83Sl7`M
zHnHR~t9&Ar9bA;g{t~#tIyPTnc`l@LbtN;{IU1R4{`*Y!Xi*j$dOVx$Tb#rCi(F-Q
zw_auAl5$y5w`**@K^|K_k;jVO%V#e}UT57L3s`T>LbmmDA-n%}5xYA02J5w^nC+Z?
zlMVWGlRa2o!ls=mWo6dhV(Vv=vE`r3*pbR|)-|GnRo--)mC?P!E}OW+);y?WkHuH9
zdw1Ps(@m?{slqkvqgORtO`clz!-+a}{fc`m&-8kBXtbUct7~BQ#NKB`c0FL<!bA3l
z_#@W3_YwR2W+Qtkq=`*-YGz-}YhhRMKW6{Fdd$AR{)80|e9F2zK4bssx3VpK&)K$)
z=d4^&8yg<{f`!d5S@i|&EJy4W8~yebt8%-8?T+bW+uXa@Ddyd*n{p5P_iGQ^-1M4#
zlKF-eI^D~9ZRlg=jJVpUqW$dXKtDUDdVoz#9OO1gzGJ0U53y6{yk}Pnd|+?)eqc9L
zeq^;1KC#+|huIBwBW%Uo&#bM;C@cAHl;yqmg`Jf)#vb$e%KqFm&R#S7#)eP*&L)2Q
z&bGJy$6DO@!S+N=uvz<lvX@r=Vyou<W+lY`u;HKnunU?dS<$?|ta!vfHf13XHD>XU
z#8h6|8O%#<|M8OJt|>IuK7~?k_-K0tAK@H+nw`W?y5a(~*hhdoKMPRaRzdprRFHO?
z3(??BAv&rhOe*oh)Fv!KX<UtEzhM#b+9FCPo{Cbexfs=!h|!eU;<P?doGQg6Xdzb%
zy7miK|JhZNq+d$Xa~mnjy(2|22GSI9MVjK}WvDbnh6aDhkoG=V^6rzR9tSyE`%sQL
z8F@NXC{HSy3iKjQfzm{$(y7x^Y4_Ku<i^$J_Ucrmm{rrLx^5axnkdnVJSECgS0<%c
zWr`P8AuS&jx;Lgm2X?BGewQl!T&+fJ^=fn%rc+tLbgI@=r<V!p^haU_8F97G4^PaX
z`+GG=yI+H19cPlv<C&Cfp-BrXG^yKQ7R6-FqP1L|cFkxl;uX}U;gi}lFs4l(cg?2B
zp4nWTXB}GJs6#=Eb*br=E~)F!A>WKS|EEE}Gn%VKFF2P@`^+V^Z*%FPhd%lC>65vm
z0m(cupy8$SsI_t))z3Gix@(5iq+vw82}Z;tZA^M0#<cCPF{K}wPoIb9)6yLaD5q-y
z$*)~V5seE;!rX)sD@@4H$dsO4HKkKC%*Z&wjJ|TAWMv3Y^gkf(7EE#&MOwOxp~Y_)
zvfRKS`zIXQZOu|>HA^>4iTVqP)O8k-YuX|znzon(V-}N}$P#MtUqbA!C3NeMIhlSk
zry5raTGMSo!w!~ouEmnftd`QpyGtq4)QWZ%S&^ZxHSwlfQ>U^G-M(N$>Eg>M=FBn*
z{kx2Uk1eN&FUu+3-IlJswWWHe6*Snkf+SY0Brd@N9ay}I@+(%+XXDjmn!lQYwd|<t
zvK^UBv!{d@d*TsWL;Hf((A&v1<a}%`b$wY&E*=i_so#N4ZeB++?dvGtZauARTu<W`
z8|ZS?23lq6Nc=Y(sd~;v^3B{xmeV(pM8YQOl5wJf2qy{_aHj3P&Sde^nRL81lg!9w
z`nPinjrDG!p-o$<uWc*6S>-}~4_#=;d>f5bZlixD+ezlecGA{!rA1k;<fOiXPA2Z4
z%W`hi5a~vvLOV${U?;8kvy=Re?xM0UyJ*Z~H|Y=VrafETsi4E1#@BKis2_XK85>V(
zt@9)eb`N=#?V$%odr2*SFCEq1N6*ssk%7v7ioCd=K1&@S`|tyFi~k_0`5vS*KM&HV
z*CBHHe25<I_9D}MFUr|`n3P@}rn75~5KqeyI%<8CMrx0e8|N6kzIBWojgHgvyyLW5
z+nbuxylJ`033_<(1X)X;qzB<A$y(qPJ@h?A%YL1rro%q8a@2>OxS!_gji06$TYSl}
z!<R;M{m5XKAMMZdqoO`P8k_D<#?JoamFQ0;Fa7DeTmYHa2hh=T0d%V=fc_H>BonJZ
zIuaO2B{hLGJ{d?xOc3oq9z^-2LG<Bk5NR2np>2E5Q1Z1i)IM~EWVC{5`SxH6Obw<x
z-NE!#DTH)3gwU4Q5W4UzgdRwS(l6Uknj02MTkeNa6kixsFAk&6K4GMKCybU&gwc_O
z;gohLoEi(m>FaPfDb0zXMY|$sM`i?t_C-+M^t06Lbe4t_&XU;6v!p8*NlWb_$t5z9
zyc;7aM(7+}wLC{v{^#h~-E-9c`y72Uiz2?GQ6zISiqyVD(QN%_GW3Wh)0}AH3`Emn
zjTkcD!W~I5wD?sFu?pwOY|VKxiaJj^&F4u?<N`@sT_E1T3p7@Jf!_SNKur)!rAK2a
z<z_4eeu<@>`WMOC<05J2TqM4Mi}ZR%9F=X3qjQ(yXnT7cEs&2Ve*1W8jf|(1#(3H(
zltB8H2{h)HKsT!r$m>@E8JZ^2C$B`xC`zP_BZ(wF=Mq)zyhNTEmq@Yq64j_C(XNe2
zBo>!M`K?K0E0s(`w#nodnoNof$&|;NLL5q=#uF*DzAS~_jHi&B;bnTi=Q8ciy-b6H
zmuc(FRBGRnN-L65>27-}>C2~4qFowIiA<y2kJ6|~;0o!PU!joGSE%>)6*Bp8g~H~i
zQ^)>v(#}t(1Mk!6)~pQr>5@T^l0ip1GN@1?lLqZGY1+9=vT4ku!-83qVxC2Hr?Y6_
zb{6sd$fD`<v&m$CHZ9M~Ca0ln+O3&GhqmU>@uVC&*`7lu<gU`u)mLd>#8uk<;3}=<
z%caGOa!L1OE=iT;(%9ErdSY;mu6bM||Lkkz@b(&MPS2y!jd@gdF^^6@%Ogf2pMKcn
zQ(;g(xz^;9{GWWPHN8$AUe`&g@H!QJyiO~%3+Uap0y>#eK;j(*lqg?FGwli~C!&ya
z9u!jMlp<24B8v7dA|CFB);(W}s7>z%neDnk@##0{YtIc@rc_MH4#o5_s+blu71Ig9
zn^d{vCjC5hlZ?x6(ysBF6mL*M_uNb9V`d3S^p?<El~S@=UrNp~rL?!XluiiUq5$(-
z6zp@0&XnIGzwuji)S!%ZyO+_r%rc@kWi(T{oOsujQ+HH36*rbspg;xLEv}$xCo8C{
zw1O^usUQcv+a$8{Hr-CUO*^}8bFso5Dzv*pD<kgEyM{Y-f~S&1m`b{Eq>`o;RZ`-|
zN>b3OqO)78=x<^bdA3#2bIH48vg|I!2HvHSs=Ksg;x0uSS5xPnYEsXsrmcO|bV;R#
zp02AQ-sl?AZ>%8){#rUpwRGWlE#(#0(%s=&YSyl!HkUeTzf?yr+Un@B<UOjhxkp6-
z_b9RQ9{K!tkDLwb$;6|cL^JEDqo<xS6dP!leFJGnG*EAS16};vK$d3r>GQ$+bRq9P
z84up4=IIZ}#qj}+#ylYJrUx|1|B$#IkG>y!NbWZtQv1h;w0PDd%Gmsfc;g?@#;1=c
zU!;+Knm5vtQ;if@+DJ8@8|laFCeq#3MC&d!(W&Q6lp@|t<x89C@#$uIUDizRzch3G
zWD5;%Z=u1Y7V2ngp$8I=snF^%o%elA`^z7b)!1X2Hs=WqY=1)6lAe%9+Y{1~cuJj1
zpHkTAr(|6AlwOQJB`=+4B)07takbz{xAhqninh``i&n}#*-Fz(S}Ah4mHwOcoHlNL
zPPZ;TCyB?;X^UVR<x(4cKH5h5g>AHRsErcUU(o#xFK8s{1xY@9LApFIiOgQo$^$QH
z{neMWv6pM7wbM$wcB0UB(yeJH$%%FvnfHqB?|Mavsjp~f`zvmFs)I(XIw<FK2RYs9
zAd$}<bVI9?)^6^k(b!H3YVIUC{w_*px=7uNYp->Y?AtC1Q0k^(yKb@z?WXJ1-NgT+
zo7NfhP?}p04J7x_%(fodB=(xln!lzp@7L5_^qPJTy(T&JH>9=x4H-qgA(Q$ywD9*E
zGBEC?8ScF#p4LlaFMH{!L?7i^_R-0cePmtSM-m_Us9F6jomu~uOe5b?|Gl>q`s*#t
zHtMJ9UHxQ#xu1I4`f0n^0QD^yppC}|sHtFpOa=!iNoA0J+7HtI7&^<iDz+{TV<&cZ
z5-M1Tpm-ii8VM=s?l_z-ySux)^V)fB>~4Lp-JRI)`tbZ_X79CE{P&&{Gjkwp%oD}3
zgHIH1K0i@(?f6ttnDSJya`scjwR2Auf6F~nwCVLsf%2Ima@8|M#@%O%!aC0tO26ld
z{6WtZDchebLSH^txU_nqXdLxI@p=3UMakh8ikaVDDB>MnDw?IeR9u_$QZeTIONCSU
zSBl%NuN20jSBlyzUn!Q|ex-1z^;)sD?`wsl`L$x@me-2<PhTqrHGQLa5c)>ZXVe?T
zw0&<B_us!!*x9^Q<ix#IET8gLasBvPMY*4E74}`;Df}|tDU#>CQxso#r?8ZNuNdO`
zUNNxny+XbGy&~=Adqt4-2Zf{O2SpYA2gSYh9~A5Ee^3<H|ETC1@KNz{&_~6Be?BUF
zpMO-mYW7JnChU`<<)}}J&3iv7T;6?B>}~s5(Ie)wV(o;_iUx;2D=c3=EAHBVQS?as
zq8L5xi{kQ$FNy{~zbN{5{;C+8_EoWa_E*LIGhY>DtiCClI(<_(W`9%kTJTNbe({@v
z@}-KNE~N^){8B}oC8dflS4tI^Dt%Y1>iu1zDf+JHz5Ki4=k@Q3?Nxs$G8I1*wN*b9
zJ68Tsgx~t1cwYUdLht@l@mKv*F=X{m#gE%R6$LeZDQ<cEQYf^)6bsh;Qhd7eOW{@X
zx2&n(igViEib`vLD|+4it;nqTM={>>k7BL%kK*4oe-sz*{88Mh@mF!j<FDen=C9)P
z>c5IzxBn{6SG1x}D=XHzT2Z^d6}o&YZj7|TX|WZPc3biIk`+B)Suv`787?<3LzA9m
zND3{(lAJQ!8&-yf3(63@qYOjNmtpg>GTgB$OSvXxvF%<Kzo4>YWRzv_pt8)IU6wUl
z%ChTJS&lp`%jutGIbW|F7aYoQ)~6iDlghErP>zjL%ducxIYu8XN8#OagnubVw;JWC
zX<MG>l;=Q9c_tT^Ct+N9?3S13-M;c{yILOAoANkTtiZDt6<E--0>Pmb_?caSl|w5K
zG_L~hwpC!#nF@4xT!ACMDiBq_BF`KuqVcK7pTvrc&{w45l!}a8QxU7f717_S$g2+(
ziK|+Pk~Wp-+Pf07`d6YfuM$xsDzRljB`WQxMC`drtbJ06FTX1xU)mYwSec_fm9a{y
zOfP+9l#?s7Y;|QW9jeT)8<lDMzB0a*tB}>I3d3EhupqPwTeGWhbVwC0&8fnjEme3}
zQiUh?tMItA3ioSO<)&R#&bn8X+N-ioS(WKys$yJHmAKtialKfTde5u!>TgvJHmt^^
z&ee$Ztwx)qYCO|bW6h*$WUQ)2%Y)UpcC8v?-c+M!h3Y(PR-JK9)o~1}&iS<J<e95e
zetLE0uB%SRBh}e+t2$mEs&l%sHNmZ{Ios13zYuHw&9ug8kTol3T2p7EHRfa1Jh)?x
z*C%V1R;|IW)-~wwT7y-gHTarU1JA)V7&og1=Qq}%=J6T?-L1jMPc_(AwI**`*QBXy
zO?*OYQjk@XDT8XVWoAvzZm7xQqc!<{yCzjX)}&#TTC{Fe3)`Nxu<ut3yNp`2wbY`?
z^jg$dSBpRY*5c)jT3mTsi`^A!Gq+i7^xbO{7El}8l-m5z*XGou+RRv4oA~{;X?3MG
z_g~azp;aBC8rGqjV;v57*C8*i4)s-a*gvKYNsH_7XGb08ovlN+M|C*yU2JRB<&jNY
z^83`~L;t#{b7ecEE_t)-@^E8aB9GPO*zLM>`B0ZRmFn@Uc|8)G>ajPV9(7adk)yB2
zzKQjyvZ5Xld+Ra(Vm<!%v>q*f*CV!WeWuyh=OpzhjjT`m{Q86ptB-b0eP(Z}&(34@
zxpcce&)?VQSH%WYZ{C1L-5b!_zX3K$4Y1WVp#As;v|QSN`nwuX`CJ3OJ#4_k(gvKa
z(U48;8X~`TB`>rg-kA+)Y-z}=sSVk)x*@|4G$i0kL#$sk<m{h@jH%ZM_YRHtOe0oC
zHX=N)5kH4CV(F|#cx`CJ!^4djc%u>Z-ZWxO*~YjuYRoZ*#sqsc=5kD9`WH6l((uLv
z&TY)$O^tCn)|lnD8dKw4V|3-4aJz96dUbBXZ0{z#AJ7D!q9)84(S)aSo6vQ06AZ_i
zu<uqAe!gu&&+<(vYTT3+j!n7d)s(UWn$oGTDdEGLiZ)G|v9T$ek2K}vji%gr-IP~l
zno-)I8D%;(qmoB6szk{)uNh^BG~@e>X1re8jJpS$QF5gjTb?&#=I>_c>NF?9wmFV&
z%_$$&oEsU<S!HTY@#N;Xu4vBh-OV|8t~ut1&2jqHoR`&Fu%J~70(-RJtA7g?Cbqys
z-GT?BTQF!r3mR^1!G_~4P~2|8*|#l-D%X;G4O^1jsU`Q_TM{4HlB+o_@gLNZz0+D^
zx4I?M_O+z+LQCQvOIvA68d$fYuyrer^k_xhfL0_Ywql*C74Jv2qWk<-s5ZA^<Iz?;
zxzUQouUipd)f#=h)-17W%?Y>GJP&P6rHt0JF}9}H#Mbm%+8X&=QRJO!jpkl!Odncf
zsn7;f<2Gm=+K}(jhUCaLgyyuN&%id=Ol?E;m2G&tyA5a0wqf=CHVpdQhVaU5Y16DN
z?>e_-w^v&RMz@8$w)`F>$J5$Uw5ly__qOHAxwZ^>&=&hIZMjgn9mUPsQL{@s)_JwV
zBf1^ea@&zHs2v}tw!^%#9cA{kWBA#2l)c}MfuGv(xng^=o3!VqLwovqv}aR9d+KGk
zM`v!&wMp&ivaCI0cC_biNqZdbw#W3YJ;%!0P_=;#!S*&xaI>K##0IN08+zz$$Q*0K
zj0H9v+-$>>BQ{jNZiC$m8@zwnkWkYWRU2DI^sr@`pDhdHY*|rg%bKCW3|m&Nwq?;?
zTV|ZIWz>CJw4ZEAu4so}V>>!^vcnoXUWVCmEZvTIdOHfn+2OX(j>=o?xOl{lnb+)y
zdTvL(pLU$Lwr6B3dtAEP^SrM;Gh*!NlV{JPfzm$3o_5RaIkdx`=n{Kg-L}W_#-1ux
z9hhFH1C85vkoUF@Gz;j!ocIpZF6zLjp&cll-hs?j9k{f+11@L8=3WPWzw1D3*^X?l
z*O98W9Z7KQ$cDg<lqPh<L)np0!#Ywjqazhp%kiF$7|uxly^h>_C-!AK;Z&~^u{NC;
z=+cP=0iD<#--%0wop?H=6Q$ESQE_D_YVYbq<5Qhzey0;H-gKhr-%ix8?LhUm4*Yd;
z;GK^HcVZkkmg~SeivtrTIgq!+0pD#7v^?g(=W7lef9AmS?+zqZbEJK9M_xEOvew;^
z%y36qr8{z6>&V#Aj=0Ws<jFcmChd2`>AbZ6=ZN-$BelwPW=*}$^s(v8`JSDL_wUTJ
z*v=H@cjn{3&ZsAM=KYe+<ZkQCgQJ~^xYn6tPdn4Kv@`Rnbit}=7t%U);Ygn@v<T^f
zKDi5Li)DX!7Yb%{VfRY0+0})<C0!VGs|&|ocH!^OE;w6vCAURa=6CK&iF;Q*hIOTJ
zT36gOU5Ovr72~X~OkdrVwY$5r|5R7b-tNlHS6zAVt1Hi}yYZq$H=cLy#$)$x+zac*
z<<xE*Q+MN^5#3lcvm2vUbt7+AH-byL(eYL{D!%N-|9(h+weE~))}3&N?lf0)=W)O8
ztV!xlj<P$pL%Z`}YIo)=>rT)=-T8gAJL|4?C*nzWetzlB;)+ht(22XYPUu{mu=aOi
z$p9z1<T`P{<b>~dC(h4zB5Z>bm-ai+@0=4Q_nc6?bz<uuCtBC+!K9Ww_|~}x3GO}k
zH?#+>QhG43xChsV_Mp?W9t>XAgA3bw(ClarGOqMs{i7bd{nP`;^3LSdb7n<5XKp(=
zW8K%8K9SDkW;iol>&%{!&fJ~p%&(QsG~Ve<_Y=<eUw0<{sWbUsoiSGI$?yg}8Eey%
z3C@C#>_<skW=~AIo)nDgNy4n21gz?b)6SkWJ<*fD*LrgQNly-Z>B;O0E)>>x!Lz*!
zb$ht*z}tll5iY3HUFfNCp>((lJEyx)yxax*e_Z(A5f>(3cA?Kh7oLA`VM-ZSdenC1
zMk`lzU0kW-?#j9lS4eV|^TL&6c_j4pL|3#6UHQ4el|lPm`E$k<^Bq?{zjP({hb#B0
z^dh)%FZSB?qMb`G#{2f-o&4lGG_x0*w7sY@vKPrSda-?ZFDm@gi~dJ?vFK7Sp5E_8
z$M?M`_}hyOHG1>Bd2d=f^d{P^H{$|(vp2Rk&vJTG%h(&|F})cuyEn#Fy_vP6H(QSN
z=H!*$+<DlW*B^TG!^({cwcN07DgWlt(T#e2+^8GmM$I@kD(AZK$Kb|?(QZ7L<;HpW
zmy^4<yRrDF8^bTVk^aC9&-ZRL|LevV>pq-r)`tZh`;gbG4?X?+U=`Dc6PbM&tL=mT
zh(1)D-iLpe_Cdd;4;>Hn;qJLUjJw;19<Tav?|UDHRaVfhp@O6B6(l(+DD_k@DNI4@
zWCdFb6(|NOD3ME=A@dYmS)(9gmx9a36$D>ZaQvbCnEHc)4Sy9htpTH(!TSynEmN}3
z7n((ZDIKn<z+os1n+#VMLfZ{cv=?@lz@O{j@dSo`f<tB8`BBrIZY|u&>g3McUhb6m
zx$`;7o#q+tc&XjV9O}-f$?hy)=+43Q?p)vF&a0E|{J!Q+^~dfs`shw;D-UdIc+jDl
z2OT?jVDI8VJ0B04MR-s<)q`?M4|!ek;D6&iD4FZQ=G7id-{FDgs0ZPfJaG8Wg9>jv
zxc$R}jg>ta*uay3cAnJh=E)sASsd(1N}MOHay+@K^JL}-PXecT@@KIpn>Kn9zt59O
zr##tw-IIvNo_zfvHh(?oX6?n<CSIi3dGW1>7h}A<Xc*?j@<cB><$JNs=tYmwUhJIV
zh0`)GHgERA_J9`)PJ2=FrWb>sc=7t97g1K;9I*DLO;c}1*m?7)hc|e6GbhxWcM0Bj
z<#{v1;LXF4-Z)P8M!!VtH+o~W&l~p=Zw6iSX3s-!KD_hB=C?Nks`h1U!@lfn*O&WU
z`%;;{I0W@2WI$gEGy5`L-ItX^`m%pwUoOt;%fr=u`LMk&zYq7N;)T9g-|b877k#Po
zRkr1Pu&(7p#pXWzviIS=vkwove7F$m!`=iRmgo8~R_{ap2p@u{`p|Ka*sk~Czg<4;
zIOfBcOFqQ>&j*`VK79D*!=CcK46f~qXA57-cJ$@np1zp9ed!+N%ZmhG7UcR8r1#~=
za9>tV@g;bnFQ3->GHa(V&PRQ@dcl{XyS`L<;mg7=zH}+;$G<iF=-1SbTeg0rIQj9+
z-H+U0KVA;-BRkWNM=C$!2K#YoydU0k{Mf$2k2YKVn0UaCuc!QozwXDOhkmqr=f|L*
z;-`{7-Rk)>rj<W;JNe__>W{gvKPSWdsg>wYbgn=1b<#J?pQe-Lc)mYVSNl`)k3YW-
z`Qv!jpM;zKjC<_Q_V@nW`Q?vQl>pk*55Ti^07(u37+nLH+BbkzVFBz(2;fvs05`M&
zJRBOp%ZUNJpBuoZl>vO-8o<W`0lYmGz_V)s{O>^km)`_%^m_o?Dg?5qb|7P#2U27o
zNJNi7oIL_*5FE&-m_W{_2eL{Th{X~}$e2J{&Ishq;y`w<4`k@BKzxq|Qtd*ZypIMl
z{;3>)45Z8->8}z*LH!_FwhrP#rywjYLD+iBen=47xF8y31+hmJMD(B_K8+1x!ptDr
zE)8PWh9LZR2XXUg5E&POcy~Jp{nH?ReF$Rk?;!qG4rXAzV7|8uM%6Kx7tX;Xcm{JJ
zI2gr%VAiJxQ(q}I=3pL<3a0P0U{)>+rrg?KlC}r4`%o}7&jgcpJ(wL2f+_zdn6T1d
z=9lZoqZ<9NZ_<za_Wjt{r5~?)_run=AIahUn4Qp%v)TRlqwa^};C{r7>&K{>{n)&u
zAJ^9R<NMBjG&#~w9{TM^<jsB*J?h8kxBXb~U2MvSaHwVo=bD6Yt9=L$yM*wfcL;BN
zLU<o0#E0-ED}?8&5FQK+;l`K{&P)$s|Dq7quMJ_&_7H|03L*D&2%*<P=zc$hdapwG
z^d*D~R-vq|7RrzYp+vS0#jaB*rOu(8@CapEP$+THp|nX2<ypSi=|jmG7K-h}P#(?>
zW&W~I!Z(Iead#-YkA#waE|mH=L;3fi*u4p*W@#w@lno=&I*iW^!<gD8j7|<=9P1fI
ztY;W+gTfdR9Y)R6Fc##8VXF^g^UyGQObBDotT1{lmF@a4oOgz?_1`e;&xEn~S{QZj
zhcV)17@t0ek^DD|GgZRrUN4-vEyDS27fw?5a1Qnfr>S2!y6|w$$A{A{D;z^{IH%3w
zG#(XB=9F-@&I{+qig4UFhcjYNI46#VQ}KK_UN^%T^e~)Vufuu!HJmnO`V&#DKO^e*
zXIsnu+_UdbMW_BaDEbrb*B@<oe`dz_=by~}Tu}Dsg{ePQBl}Z-a)0dR_Q!R3fBZIz
zk6ryqJlvnmGyTcG)*t16{V9GS+fV%|_}!oEN)e>gjv%^e1cB`%=+iku&ie?OdPPt%
zI6^*CL~uPhf_=FWEYd{C^|uHT#zf#cErPlWB6zhjg2S65n7Jo{%%c(XI2S?L8xfql
zAHl4bV*5FQ)_)>+R4J0>wIfMs8cFl^k=$^MWRgoHUY?PB4UA-UWF%2Zk(A4cWRptv
zEs^{h8Of5#k$BFH<l(YNhHQwW+0ICI9*QLRl(b!rM0+=qicce%`7V++-y_*rHVWtJ
zQ5>irg-6RMj@m`x)h&v{y`$*UH;P^TqUanG#mbZ@8s|kZP7}rVfl*|Rj^fgkD0<C{
zV(IcIDsGG-XJ-_r4@F^rDvD8;qvYCD6s}LAnEW=1N8h68Q6`#^Rin95H=35sqsg&}
zW^3nYzPUux+cTPhfzcd@h~{TPG(EGTDON_a#uzQvI-{vIAsUaF(I^*1vv74ZC0nBT
zuqT>EN2BR;Hk#yX(G2}xG)ta|kN45s{4V`vW2js`hUWES=+Ytv58D_*yTr)%u^6&F
zV<--c!4MI{z=RlvWX3SGNVWz!9xCnQq<^~DEfD*aGH#QM-z9$j6@RD1@8uXi+>YVq
zqZkgnj$z3c8UH7S<VpkRQ)>W?8V}$@>j9K>7{J2r15mmRz@zT~YV{kyy{G~5y<q^w
z*#mGX9>8zo0R9~|fT80D;66i+7YvZ^KGMHw0Cu~?{?GuXlnlW0(f~f*8o-i=0|<IG
zfUlnhu;|wSyeq`=+&Y$V4PxogGL{nCSkk-1^2a5XSst-;3W(+3@L2lC#qu~U7Il6s
zR@zv`4~(VWs95Gtilx=;Se7r2rQI6YZjs|Xu`D<oOM}y~Ou8IP`8%-~9>wzVRV=Ze
zCC0B<oGQez$U2Tn4dN(l5yusqIGj7jF}r6RUx}l?UmTl4rGG#iNhxvc$cdwhDvmf)
z9P5Y0@qJtzeW%AUd43!>m&eg^LmcVb<5;~vj_1eXustWo*Wy@mFOJ(!;;8dB4!^H)
zSpJCLit+rfMm*LH<LT8ho($V~x&9i@j-K({CZ0dO@w5t!$2}&V#N>EP+40O!#<S57
z&#@u#+!_<l>nZX4o)b^?rSUXb8;{M_c)IL~$K`N5ic|4;U5dx&Ry@8BWcxynKS=v`
z=`WK&mnsR^)J~vD;{>X=PLS8M1YUPZ;Fe1Q$J`Ux<d?v#&;%?o2_z>c;F+C3TV(=e
z4GH`=I05-zzD%E-AlEMwkpHhh{nZIP+myiWoe7LSm_Wpd1X`X?;Q6%#w%kiV_auQ{
zZxZ<RIe`Pe#BcdTT&pMYxo#qxnkJIjHj!o>6S>$ek>R}(aq>*$k$)mn!V+;CkjT^I
zL?&fRyE2hm`a~>)6KOs=k^PeriJg_m*M(xcG7<ZYiTt}gk;wgtJU^O<=}aP3uOu?(
zb|UQ`CbH#)#Qh*PrHS}hC2_h^5<xYSIM+b7Es{9ZJ_&D!Bn~<y;p~>g2CpPq2PQEi
zJc$aiNoZ4&c$A$)h%$*i`Xt&6PGan+B;HO;B79~N+ZQBJZ$%R7^+{aZmPE(BNsK(4
z#J!Rvx?fCU%#9@O{4a@4Pm|>OjKu$(M1x;Rq?Ai$UDaeh)J~>n<7CXOk~v_T%pb>O
z`Zy<J>XXb)?_}NwCS%t>nWWfcW~3x@GCP^?MakIfljU<tG9yMNvw1=?x27jkW_~iZ
z%aRFNn@rJ`WTxy&X3N23&L2<a<=JE^Tur9Mon)LJip`5;lHVtz{w6;Di0=w1EUTWv
zrn)KYX_CT`)+wB_OW{K26s|a@aJ^3oH@syVn8MZY6fO=(;Y@N0$Ffq`SD3<9Z3-(b
zDa;w3!q{;s7^bF>IVXki#VPbzm4eO26s)(W@M*93Ih?}Yk`(4&NWpwPg#q_c=<zs(
zTCY-g@gar7r76t*n?ioYRIpB^R=rg2H%Vnv>r~8ksrYo3Hs@4sx}~z%E0y$sRBXdi
zc@dq;+Qd|{Gg9T6cq$K6smwQ~5-}u|YNJ#6cVa4<8L8OJPvyqaR7R~y#c8wn-jT}q
z{jz^FmAj`>8Fo?p-ALv1y;Slar&9e@D(gO^;#-=^!#}BVEi{dK)zesCCk^+;X<TiY
zMy5>~-#Vo+s=M^{N@Iz88XbMp*dCmQTSOX1V$<+VN#k@@8bO6=oYkZeXilSKXd2#Q
z(l|INjh-{p*fc+lcFWS3vnGvdo71rDNaOXsG-8jWak3<hZWq#6a4n7Uchkswn8wBD
zX*j)0W7Zdm|1*u~vgz!ooKBsZ>GD}Oos&(|Y1t+non1O-9A&>pI>o)yIpUE{ZNGGq
z`lZXYjdZ@nrsI*4&e*JUE*7LyUz5%N`BFT8NIG{%rPFkx98XVY*4%V1El#J}s&u)&
zpN?r;I-7T=^XOnY4UVVddnO(IrF2%_Naymsbbdcd$M$79A@3!JujwrKmCnCqGk8=v
zgYq>qXjeZ2ucjF!x6Z&~o53uH3^sSq;Dl=icgf&GU$G0yph0*BHZd9WNEG|@3_@}<
zh*f5grpqADl7VVi2Kq4>m?vd0a7G4$<_Sy0=c){h8#2&r%b;*~23ZF)NIaH7#OVzD
zFJ|C&Jp;$P8MJtqf%WqYe!j`z*{2LHf6rk5-wak%$YgxAOq8`ViD;Nf&*qslYMV)^
zU8a1-$z;1zCR2K4lIxy{mro{5gEILLmdT0eOy(tIlAo4IpPWpri!!;R$z+Ww6U~rJ
z6r(b!G$E4<Q#0j$XC|==Gik9rllyBjS-L5cl<k?c+?&bWLz&Dzo=Mo5OsZbW<nZ-O
z^mjAq^iXV{WisuJ#Ql`Xr&1aBCzF2Vv-nXZixoAq2(F*SmnK=vZ<U3+O%{(kW-+R3
zmfRc5;-p&^8J<~`^~+*Wa2788v$zzKMNVQCR_R&H%*n#OD2x3X@ng#3-ry|qM`p=;
zV3u5a&Z5?=EauJ6qRrAQ)~?E;^M)+`*_ws(t}J%%&%*VHY){JZIcdL~h2zaE*4)dY
z^`k82KF^}&+bl+W%A&M1i@ZNs+%1<)P?c=<)yT%KUN$otXY;p3HaYFGxn!S>OXqAB
zIb~C>S2mesQ{tVCeLyy2L$Y}mk&Sn3HcOJS`I(+gL~b@4io{l%Eo(TNjf1o0vvW4#
z<FZ*kIh&6&vT>i6&BVpo+**-M+jZIGZ_Z}>b{W4%`VM6?;#f8(Pi0f(LN@+avl(+M
zn-l*NpO3TQMK;E_*=+li&CAkk`TUzL_ib_*S2;(ncjWM{P7bXa<q*<5hk<Q!SZABV
z^-ejI>6Sx>o;ifO<zV#4VX;pRM+0+s8k$4ps2uF$a_~>iAuA(?5xF@mDav7=CWmXr
z9NrAdq5Oy(nvBh%^Q0WSrsohfM{F17pkJ25sMR^l*pS20tvPJinZwR~IUM>ohm*&1
zIDa}vt}o<p^J)%vZsl<Ae>wc`k?=f+yKi#1^-*Gc%i-d$98Q<X<!HrR_EyVfORZd1
z*3V^blUydW%w<r!Tng=TNpQ?1uzM~pF1fVplS@s{T)z9{@*psmlF(c>MdmU+HWz(T
zF0tvk^v=npX<;ruRJq*L=d#0+%haK{<d4dw@AzDrPs!!;j9gC7&1LbTT-3{R@mZ5g
z!;QH-+nUSHow<zImrK~cVtYK7=cjVnc0L!=m0Ub-=2GciE@vO)GUaJ5{a@u$|9vjk
zKj$*@yBz<?mFxa_oUN3{=<0cR)Xw8a{XDic$s?y_9xdACaoH}9kq&wE?3TxK=RD^0
z&coL|k1yVNEc4H!U%xy`!}C}goriyX9`BR$n3a)7@7z58E6ih<I*)dSJdRuPNFSO<
z*-?2c9w+^i^SC}e59ORZsw|Z8OY?A9mB;yYd8BR5<J&)ZjNP3_lLL9IJDi8>i9Al8
z&LiSN9`~>0k#|#axSPkI2YK=xD36IR^QikSkJ+DOOlh9HmgdpCOg;-M<kPHbKJ#ki
z)39zn(;MbfqglRO=gFr``+SV{`Mh_?C$n2VcbxMH>7CDE^6BQC&oaM!Y6s^tI4qyn
zk@>{L=5sVLABVJjW@Y8`Coi82Wj<##`E)VnGh<*r--hNhU{pSP$K}&xviP5#&yCsn
zI4#I$%94Cut;nbE+I$vm%;(G2d;)jovt(~RpAY8CwV8b8p3LXvnS6R(%xCOX8GAFI
zcK7m8KFDX^lYA<?%%|U5iT^R5dtdWu`!k>Hzxiw^SHQbU1$3=mfT~sj+v*kYp-};y
zn-`GZx_~w93wUH-Ky$|eqPi6@$+>{zy$X;gVd&yjK)P=MvjYn_6;i;D{snZ1DPTZ+
z0i%-(*q&a%{p<p&6%^2;xPU}$0i%osY#dm?m7xWcjx3<rxB{3|K+3cNhRrHq*}MV{
zFDl@_Wd;0NRY0Tl1$5tBK=3~WWbG<o$i4#R94cV*QOV<E0k_W-@b*FhWv&)b_htd@
z?iS#5zW}et1%y49n6C@SeP4j~a{+@(3mEgOfGJjm%r0NZ!pep6`K*vtwF+5VuaNbP
z3fa)Ckd3W`cCv3*$huC2tnO0Ca;HKTxfC+Tt&pkig^cwsWQboOx}ZY2r(Z}?L?PiZ
zg?Pso(j&Q$_UVPx&n~2Vejy)=3i(f6$QgYhJI#eG87$+67g9XBkeKm>C?*%uc6uR|
zW*72uULofe6|#9*AyZZrqFh%<$fiOZwiQx!XCY7b6ms}LA@dIxqB&kj&?y;vu8<!W
z3%Pi;kd-$JG2WH-`-QZ4T*$j;g&cZS$fS3L#D6Np{#zkme-v`$PazY_77<;sh*njL
z<hx@Ln`;-LtzSg1#zp*TR>YB3MT~4$gs)u@l{*zt(z%Gy-HYhkvxu_2i#Vt#!sJ;*
z51%65`4_P!xQOJiA{s^(aW1BaVev&cCl~QDt%!wLMTF!PVO3Pb7F7{Rx+1JiMeH3|
zMApzE>W&nDV~WV0P(<x1MeLa_zGfFuaefgS78Mb;tcWiwi<q-k^4nM>&*>Cl-d;r0
z-Qr_k5iy6P|40#2PZZJVbP*@cNsLQHlwK`j%FQBd?-p_3zaqjP74h_G5yqEARDWB<
zq7OxM{!+xD(jxl(D&p?nB67<q`BqWM@Ty8`)KD^~wvyKMm8@-~q-!%JyIU$zv{iD{
zMu~3+C8r&f1b0<(!AVJ|i;|1Im4u+=oTrjNA0;LJO1y)W912z98lhxcw33c-O1bv0
zq)DohDH%#C<R~%bD|u6-Bw4NGvQCMYNy$G0m9!bEWa<bde@83HAFt%*B<Y)`WYbI~
zjpiyDx<JW`#S(kDlAWuRG+QTa8<jlSqQq~zl6AY3RNtqh;GpDmSV^bjO2(Bad45Jo
z-wR5XURLt!nv$qnO19ipQsusqlt)tMQ>p)@lJqx9_PkeO{aJGRCi(wRQvQ#U$TG#O
zEMLs$O2x?E#b!#4V(!&0#=d?rnnuMOY+6j^mc@j%DQ0f_V(!}&W80~ig3iTk>sHLy
z9>uu27GrS}TZ;MXSqwhK4EC4fpkjW7NPqugv{A)u9Z<~c_+o65i%Ci=W=>`?7jufK
zR8UMGWicvsF{^dO+%XnYV_-4vL!@nZG0R64b7gEXWhWNXb&8CgUd)79#q6G2%;N>c
z)LbGlmKT${s+jR>i}`0mF}F7tWA#rl?RORvu&0>9{l!c@Bz;GUxprLgE-9wL*<yNJ
zC??{v#JN_?<eSB;zf;V~{}uD_f#m+UnEKC)aeP&b&)Z@WK8Pltiy8N=n8iQD*Ke`4
zQgOSSiq{oY{H~&+hP8?owNyCNRnfbF3jf9`qME5lZK<N5jS5416~pXQjPIyohNFrF
zT~+eBq+)GP74n}d*xpCQZg&;?yi^?YQSq<8io-!Fj)Vx|vLC79P>hNLaVqvEs@R#L
zVq3b3jae#I=c-szpkl64#Z<M5F*+54jViPj6}f{|Bo0#%K2k;BF)DhFS7AR%MU$y2
zs?JdHeU^&nb5&elpyKFa6<d}`ZYx!cUZX;_UPb&S8MjsH+OCpkqg4FbqvGLy6(xrx
z_7RD9T;i0dh&iL8*LfAqE{PsjRNT9+V*f1_^Y5xK{wG>IRMGv3iki<=ynLzR_!||A
z--|AvRD^w%oW85D`laH=AMsm8&9L%nqAIEBP*u(E>S`|3RI{{>8dZHYo{iMhX{zQy
zb2Xb=sTtT-O@NJ>2KH(mc2u*`QH{Q<8V@HmReP$r?5bv-o0=5V*m|mY<E>_!uNqx|
znqI-;KSa%;a5Y0C#dnOFvT<sTB*<~H8q%acL(Sf7vCmV}tx(1*)vQ*FKb@K;M)7Y}
zGj5Q?8>;5paEU)kP3l<5XM&p3lO(^XYP!sj+-9knK39$R0yUo(sad{MP525mR;y*q
zS~am7)KuK8X6sfp@!Ms8m(;gMP0W6=IizOIVKpJg)O<OiX8tKP?q}6JKChO0Z)!ST
zRdepTnxb23YTXqd|5Fq8K+XF{Y9>Eb<M2Xqd8H=nt(tNl)GYoawSQG}wNy>vPc@bP
zNSl?0p5-*0ub?5LvWA~kHB7PA(7u+2J#{n$)z|P}Lk-1EG?Z(uVMa?0?b>MA-cEy;
ztwz3=Xh`a$;kBa%V^<9ooMgPSMxImDu(G#?&I*mJaSiTX8cO<V2=UW!EkHwDu!j2~
z5;I)GiwF(*(Hh<jkT~%gJ|$|<q-gk@CfiIo&eovH)9}7PLxEDmOO=L9t%iqs4GAU<
zH!K>$25UGyRB{@jVc#eX-NtHIJ6=P}Ng8HO(NJ}|hCwqme4H&Y=V`dPKtsS{v0bX6
z(+Uj>R%xidR)cxH_}{1@W{Za7+r-Zf4U2Zk_`Mpm`$da`8vGAy*mhKEJfUHDiH29F
zHH4p&IxlEwaar1~YIuHKw7aEY^BoO!{wH<Z*KqxzX#GUPoM#$JUucMatzqX|4fQ@q
zeV;U3_#(NKY8dlF!=qms6o19GjFyk(v;<bvvZAt<UsbjAx7M<*rWUI@TB7P{S>HhR
z8*7PZs%3R^Ek9an32LKdQ9CW~Y_z!BYnjqf%Y6qeox5lm*iFkBCoPS7YRPcbvbDFC
z-+i?Bxoes3spX!x78_qJMgCfL1#0;ltd(a@wM-1xawS4b<7h331GFrQ)ABSyi+!?|
z{8TNQ(zU$L)Y3IaEAypgTY=<WB*!Z8rO~ocr{$$Vi>+Bp+CVLf2Wz=KR7?F4T0%x?
z89PSHk#SmnPSDbQvX<PbT9!`Na$}|z>p5CH=V{R|ka`zs`EQAqI?J{6T`6s=wX9t$
zzSe80wn<CxEi!hSmbu%toZPA9%Wf@g_DPHbTFi$;qr+M*AC;PqOD-i^!cJ>3oz=4Z
zyy$XK%csj)nq1T3aYIYiEiDu7h(`CcT>DSU_Xk><J=VfgEh*2n41X!}@><LBw_2XO
z*HYn=mUdsXczu)p?^*``)Ux2WmOX!Ed>I`d%IT<HQHO119UfJ6#8ua!si9+HEgdWC
z=r~YM$JGWpUNzEDrm2pG&2@BYDYmV3M7GtD(_Sanh;&T0*Riytj(;3<9P6y(T2~!U
zy6gDTLq~ZR9d&!@Xziwx^G}DHyAFR(8Skwl#YacJpALP1j-f$1#`n`PBUH!2aETwG
zV`G$#?J+v`#p*a5uj6E*j<d-+E~QG0bRD-cb==L?@n5cv2l+Z473z4bl-MdkBk1JV
zAnhjUw}{;!u^%GihROI5;%Aij8zX+liT?=_XOfN`Q*>;arepOC9gAn_m_0|wq<K0<
zF3@3Kq@#F=j?87E)e0RUt8{p+(c!#Khy4Z}O*iSV-lF5rRvqvDk$5|FT-c@K&>r!*
zPwF}#H6GGoJS;wr>ga!52PbuOJf)+-8PWKhXnkICyQt&fWy#^Hjw#o57;frFzOBRe
zt`5il>8N*K$Bzf%|B>kZM8}$EIwri(QS?ej_!}KP-pO2j(DD7Fj@zH5uCF@gmrDLW
zbj1GB;rd7Vt@L~;qvuLFJzFa1nOI3rP8B_UtLbTFt><SAJ=bdK*<432&lKxPX`rW9
zBRzGR=y};x&*A2J=CstybFO;4+v?@{Mm=wB^m6}C&+HC*@;d2JIO?h0MbD$IdUkZz
zGpdK4=$?A)T=kUp(o^ClwhBF&?s~c3pr@?2o(p~TEbx_F{Ppw*)Kex{&)I%r7b-b~
z>**LFc}MCw7_DdY06igbdKxC^`Cp=*mC1TJ_w{s37ylW04rJ*WmZQffPfyhXJ?9Jc
zOjYWMQ0Zx)(Q{L)XRcmPtWi%>vz|K^J@W_2@erwJn4TNM^~@Zpr~ha@wZ`f>H%`yk
z38K*?Jyuin?3=1bH(gJcnWD)oJ<I3liJzyZ-U7*ap`H<o_4Hn<=i@RxYgXt<TqS*L
z^qg9&XV7}dbEBT8n<R%VdV;p;`TLKatvmFj?Gn2^dXDcE|NHgW9Mp6DkY4U%h)zdE
z&tp=@2|bkPd3{R8pOG5RNu2X~7G2cie_7AxE3$u0kKYYxzbSRymU+4>_V@J6_)m}9
z1M%}vFVBuh{!hjKGd-3UdRo8IbK<q0+_!payw|hsgPzDwqUUEl^S;WsQqlUmUS3ON
zo&47G?;kzMRtBuf8dzM;fTDtdyA=(XDjR52)xeHw2EwfkyscqiTrC4ObqpM?YaqV9
zfo}~AOl@SKV-o|%ni@!GZs2PR1Cv^bT^j=j+8T&xZ{U@UfuVK=8g?+Sp`!s02Lsm~
z4diw)@TaSRY26L9?_prKvw;8?iSKHlu(yG~ZU&|(4774Lu*Jh5@B0QWcpFIcG4RIM
zfZ5+bl|Tctf(*3nCpIAl+`<f$giG8A1OG)zjA#R&V+;(6HBdQT@=Y+%B+0<?WXU_#
zz&~jQdSysWnFjo_4V=%Bv3Uk==Nm{WH1N2{Kz6Z#*D3=_je$>E13JBd?*@r)GVt4M
zVDLcEZ?M!j#6X#0vK=nlkp_m0k{U)!?6C%ZjT22Lh-MQFXeJx@FvUQ@Gy^ZD8_1Yx
z;QlNFadSkMxduY#8#ukdfcGNNaIpdBr3N-F6HQkbShUh0_X-V6SYx2vIs?Y_2HtHD
zADblS%?3iY%3N$S;Idt`-eI8SF41?lfeL#K==Vvy{SxP(fwPAU^f@ekj~HliOy=yk
z%*6@GsYLWYWgzg3fjwsp*q%2q<AT(4N#^9T#JFO>=bC|S*9|nkX^`u<qRDNU`@05C
z-ZRkkKLhjbOKuMh<UcZS^|8#!Qv)lW8L0Ncfa;}zTdxf8#=y$A()M0-{b1nQN12Du
zQr{N?Wxq*1r81A-WsZItnD|R-{B0oYuf(-7Qn#!TO*tc1%Nud3Xk<nuBcCc839o8o
zYc(S^t&J4aFmk4*5xd$(M%FR%u&xnBeIxT482Q@JNLXVd8=4rY)XYdqb0hm&7^&aN
zD6fY`PPQ@9s-023a~Zj4BR=em47N9Ny@L^lPDX}17`f$Wl+QonyQ`7g-DKa%D9^AP
zx#?`AlZ%ldu12o(GGgOq#Mno2Q5b3NZluV=$iJROYI_?=?Q3M4k5TR!NbdedmIfH*
z{-hCtjZExk<W7hY`!J(CA7kWbe<QUbjU+@FSsQKSON<eZSR)hSjNFJf(k9VJev*-$
z$wsVFjrgY-nU*d-GK{p%GLn~V<ewZPKXPSUzL7Bn^4~ZMrDmm(xMGQ|GV)Yyq@&h|
zQfFkl-bkszh?_}jHyb%(F;ZcW5#PZ^#txBsh8nRRZlvD`Ba=spPNO8hF-Ahi8ksUq
ze2+I$W1^AZNs{AaBd4brsXWby&vemmhG;O;$nRN3T;~|k&XswaXXN#KBen}gmqkVv
zE|$8Mh)&Cl1TGhCR~R|4Qs!=z5yv$~GS?bev`*$^z2vdci1#KV=FQ?~i&3s|i`M@b
z>Azj-+#%z38u_?O=3<YL*u6$3?K5(Czmd-eB;Fxu`&V*2Y~<h((f_EC*2iT&PDq|7
zMTZh2k53t?cSd5IHKIOeWZ8Kmmo6Cjdr{WIWzp}7XmVAwzh>mob<yFb=yuCU_H9|4
zccj+4Mqb@B(%?VQ{=Uq`10ypZ8aedH$cx8D>O3{l`<apS=aR<@iTTpV-B(6=ZcXOn
zt>p4f*3f$+i$54S{!x5=5?#I+asDc?zsXuFHL~)%kyAg6y!k18zvaC6V<h^o5tEgP
zg=I_}Dr@3FITPh7m}pngMBhp#GAo-HUB$%eswPfWGx4mtiApt0*wmE%S|-wKn;2Hd
z#FDxu4%Rbqx4wz*4NNp>WTJax6QNB^<To`jrkRNq%_T+)6SrHM_|nQmtu`h)v^C+~
z&O~B+69yX-Q*BMGvomqj-o%{_CO&mEQO&_bTSt@pCdout7ZcfCO$_d4VrF*}>zzy-
z?qTAFvx(O|O_Xt!*uBJWZxaeP6XAWN289W!k_ql67JHc3=4s-Xmx=4%Ci#tri61@^
z!_P!Be-jP?GA__WzaYse*hFDJ69YqJY^aI(VUk<8iQWB8oQN=SHPXbxC=>6ZP5g>6
zQ6*Ml$C+poZ^AJ_@=Y}1lO#DOn}|;_k(Fvfm1e?{Zemo1i7A;T=4F{!o^4`7j)@()
zqG6u+&Np$sK=Laz@xLMyPn1$yv1p-^T-7FdF2_Vgor&st6LkzG8X6^clZn=5nHP)H
zK2YKhGSO|Y3FjduT!)%)8)kyxCOk)o-XkTiQ6~IGn+O<VB5<sUpm8RG$4lK4go(l=
zVX`nq+NVnYG_jj5_A_MMOc_5*{LB`AbHwjl@jp-E%$IlzB<@0qzew^}Ecq;vyp~FS
z%Oua`lJ5%1d!^*RO6piG^$4HWn0T|+#M5;q{#$S2<^~fNH<~EfWa8h=qW2aPo41-+
zwN2LPKPF~uH!*I9i6J{p=yu8a+HE3bkBO+glH)!T?)y#jIAFs5po!*(Ow|6@M1{j9
zN`+TPMAM@tE*+CKc3d<+A#3}jiMb^v#-Eb8Ic=igjLiL66CvlMw(}-BUog?~qKTT9
zO#BhvT$Xiy#l)GbCiY%4vF5soSvO3KxGD2{%S6&`(d&-raaZcUCpG_1#tAR~lR3R_
z;>ZIN8y}jO^T@>T$Fjzrn232QT0S$;>A9?-7oyEe6EB3zuT1QFE$7Y~S%Ys)Xx_<M
zdN1045ZjL?>V6Upg$JKSuP-JxeHDGanJ|@_Nd7MK^ur|Yk8-a4l5<YD{ae=99}~;|
z${MsXlUv42zp`e!mNQeYyqRyp?Fwf0S2VMzl9?fu&7@W_<6YHE`)Xz?RyWIQfSD3&
zGiz&@8C%m#PAxP3wawVqF;ls&^b05IndLsFnGp?Sd_yztjm)%YZ0476yNQ`yP0h?`
zW~R8g#BX7iXVS!XD>Dy;gRRZXYhy;+)=X$SGacJYpN*LZ!aiFwGwsasjIzY+V5V(H
z@hM#EWM-3tnbD4Bk~*8|*~LuFu9AyzsGFHt-OUs@NgX}RG<7!fQ7GvtHM*G5xS9#*
zWu{ecGhc+$Ze|wuk#>c|z%1{{W<ChVJ<QDY6hB^4kGGk+ea$=-_V}2Y;A<w)&rBD8
zGi3wJToqOYn$ZWD@e4N7xSyGq!oCnQ<3r8Fg-KoEW_}81`b)hLqGO~PmnbupqRm_v
zR>YW54Ukx|W@^Nlxht%VH=|21<CSQpR+5=}!rElfD#eUPsu}AvGq;2l>7r4FnO>P@
zDrA|tD9p<?lb&P7G1p9~a3oK1$u|>GAT<_BEyCs^$ysTJV#z~g=7KO=Et+b~*l5kX
z5w`2hnDu5n4Km+GGv|dFCNr^S(a>V%iLh><#2;kFX|S2^!hs=Xh7L8;cbJ(f!_Ax%
zrjC%<Bh54%C2K-hIND6|7&C3gnt3d&8fPYZysV80W?l&!CW`ixB>%}~-U(Z#m{Cp@
z&8L}pFKn4E$1}`yo@wT-uyK}|{Mn-O9MN7_GuKS!JTvX)%Q_R5EHIO>&`gs>W^M>G
z7MlrMB3dt%H6V;yCN(ZM^GDdbLNs0}u~tbg!m8C~Qr4JhwpQj!n6ggR(0ViFH^}-G
z^c%%?lbIL7vduEzTjc!OYUZpkVw)Maf6ROqHf)zU*&%Ckr<u#b*j+N;yX8C-HtsQ#
zwpZ59KA8t$<bE@~4@j-T%7dc!Az9=9nmHyI51Vl~BIk%O^Qf%bV`hE}TaSzX6Qc1+
zsYw`EB6*#X`h^*%&G?*=wIHlJYbO4jte^9ezfg2R=JKMMOTw^AX1ZOLF~YPfqRCY`
ze}rY%M6c^+tZvA<5fX38_*?SYA>`gR)98-84hWjNGN<=s4GIJQC-eEA=q-%6FRwcf
z%<?+~GvgkbaegE*gh`KO-9C}^C`^4ST0N8VSeW+QOrIBKo(t1nO8YCZ5vIHr`!}*?
zgo$s(&pR{!31i-i{|~aZgkc{g?kCY$FnyMMzK9+|@mI<7o0&sGW~t==UDme{_rpw?
zpJrAI!N1IW66XGv^Wu-h5yt+Nb!cVbieM;Xp?O&ghlPxC7OIrDuu%xBVBw1}x1t5N
zN*4YThE=xEzKVqsA+M?h>uMG@3t`nQd=h3_Tj*KC!cD<g(?XM47WN78wJrP>7S*w!
zsB7VW!k~H<TGY32P)KYb{lbEV7J4_ba9c1ow$P}Fg<V2qQ}HiMZDx^s_ZH3xc`Yn*
z|INZm!Lya*Cs<lrXxzraP9eOlg}1`Eb{1^fTR0*l+F1A@%(S)8#m>SRA=BPMnGO<L
zaPDZ~qLACkLU{+tS8#E(a9POfENxvZEEJr(TDTx&cayQ*MI)iBlZ8`4N)HR)g{jUK
z?0Z_|cRd!OT_hJ_q^pHyy)67A1oXCWU(mT(sNToIGQmY*;k=NJ_z)(!TWITHVYd+M
zY2l%u_p(sU+rna@dtVDDg*YFJ{2tcAa9;}z{4A^$-25d+AvHkeQ5X{_^ATiWgP;hO
zI)&7J7CsB3LM${4wXjBT4YP1shzqyyS{T@0<~c&@791ii91wz|Eb@%Eg@R}czl8BI
z;(LI^6<lH^Cm|}%!ec=dZ^0@-Y7v?xT39EzBw08i^iLKIgn|^A7h!a&g?ecgmI@B(
z7WN2zGb~&Z5;85k5VTpMdA5ZKLc<)<O>oE+jRdbe(NBoU7p;W+0t;V-A%zyI7Fn1f
zv`|`DEp#as|AMDV)`1YAmYReNjfFRYRx4{#7^#!`^|EG!<^~HZgpNjw{H9H`GRgc3
zzGjIlL|A0)3dsX4JQeZ>S@<Xz23z<e3?CwEcBqAkLY-k2W(&=ROTB{4{~NgLc%RNc
z0N`A;AI8Mg^mI-$=3rc7*qCNa&lS^ozgO4PbTd626Vu(@ZPVSR+3)?w`*mN}z2}_g
z`P6f~+^fIXkY|8<Q+Qxxu%42G)GpzJ)fbh9$Sc);jSNmvduU{Efd<3GlE%Zuo#rDV
zgWE)mlt<eBrbcKtDl&LNhtYb9PGi&uUB-$PUB>xHm+?N*WrB}%ndtlIG|6>znCw2Z
zo8rE-o$5J6O!HitPqz*l&#*2U{BE7po@w1wn`IwVnr&Z%&xs6n;D>^P4HTKDPslqz
zGFU{`KO%$Kq+OujNV+gG7)jhkazwPnkwH)X<(DODg(geolv>Nw5Z^A340cg+g}K5P
zE7dF+|BMW#kaU&Y5Nox%=U>{ai41P=<67&c@?Y*jiFMXTj`i|KiVfC7?2WGFIT4%e
zotm2?gM*aWqE5-PRUMIPn`?-<-Mr%=O?H@{RNg7?6xn6}q}v@Cj3Le*`{WT#_C^M0
zsJKsG^2L5JBH4k+U<mK{<)B`m`XN0>(ZlMD)JOCr(T>U`*Qt3-?^5)*xRC0E-sT-`
zPMX_%cPcX2Lf+G65DCvj2EBMh!?SWqa4s@fN}BWfl($4&hz!p0%|)>%%O(9t*kv`u
zWh(ux=E?R?WH6qXSFDY{sdQDplI5B>5be4(ah~!w<brfJt(TWHxn(UBzpdX%a>qKk
zOO3nwmYnxIhv@h9DrYG3!1+h=hmk=a?os2BJ(K;hXY-yGPs~t?JvD=f_e^haiSXyn
zMN<6h9^9eo3+pGtOS$0*bzV7l$^P1T!7CcRktcG$6(8Qx_?;f%i}z**?`iVEpON=J
zvx&DfiWc&77oi|`^iVK{SNs?j3bvCqMkpA@6Kci`1sg~oD-;aiE>&WOf|VqT6AF58
znKB=Rf_cRKUnpqHaSFu^1rvEogLt7}8=2yV{H&z=Q2FCfu$&|bLP2NFP%L36n8JG+
ze&QNFPvqI$;+w>wU;%NHgo0KaBzMwKFoH*X|7j>#LE>bgpaaLrpF9+d<|)-uSUZVR
z`Z~wSpDGlL;xXTS7V<kJq2S}xp`bMf$dM)#4B<BA(}se%#7Gwk8nJ~m=|g_UA{3mX
zNQO`_j%QTO=w8J8JQV!QE;42c1--aPvCN@hJkR((ODI^(M_EHbQ?`;iTPWzpNxsM~
zC)}oNj!-azH`K@}hQ!Mi3YxQx)VV`JSB{fAk9c#1;(4u&M^yMC6wKy5wepD>@$!d)
zW^5*Tfl$znePk?Xf1D(Dp^$(33I%^tv~bAJBv=!ripVvO`KD+n_?=gLUn~^-L9{PJ
zL2Z^1ySQ3o74b@hg2t@lldnQS3pVp<N%3bp{+FMiEjvk7%DUK1>e6z^UecBc1)bPO
z+OI=FNA{AYtnXnDsmq0e_Uz`faQ9&+Dav~mTS@wjT(OZ)D#!(Y5x-(6_=#1-`8E{P
zWeL$Lg@PZL$7?E8mK&Z@u8Np&mlEHpQT`$S_o1Lar^!}T4{?yR)vSr_B>BO!SxxNf
za>O6JreX~}!hOD~>Aw6;-dbvlBc!Vx3VvY=3G3)3mhm6o)wM<*QL<hr7|um<*0&b+
zk>W?WU=6Vvgo5hK<|(BbdL|di@sk>5H%S}GCCm9hrN*IPGPfzzBoy@J2&tQff|jfy
zMl&_SH11NQx!7=wG%b7|tBL-zdBG%ZkgsJZ2(gb(BlIFmcum<>p<pEE$=q5@*+A?z
zdXlN!B7a-=U@u92QIpK)3B}u)IUFHn`%ut?CA_3`hfpw-Q>5#tURc2!zV4(?IYrve
zV#sn{Q>KgSI7ynWdW|Lg%U9hzk3)Rg-CCH-0}A!9PImEePq|<USIHh}f2`#L<wBm%
z2~tIg3xDv4!o5O%*G+x#QEzjcv79G;AM=C7Jf&#gP!PpV;`Wmx#&Mo>{naK5cu0W(
zYJg3I4KyPe#xar&3I+9;!8NiDHn&;EGl~o`Ti8O3UtP;kj*w)ix@R(%NIy&-n8zJ*
z4Oio=<X?)8a4$9!eWW^IAbW}Xn|fpfM@c+N92w79QjHD;^_k8;WE^9U%;hFo$I3Gc
zxJ%A)W(G@mNZ#@CzzUvHV1jwXDxOntqR&~ya|%xKIjeY1!O1>n70)R+#pnFVQ}Ru9
zf0pr(+|xXtMcgI(bn9b2H_1H1`kBoY(*3Tcn8G=d&vbS$hGQh0rN0=;KH|()OY~za
z@A-0$bA?qrA<ta7<PUC;ah^HDRL+rXzS+oc9OR=v<b>XA<P`-M*cXerO{RtBEK@m4
z(nV^IVeBQwVl#{Gtl|+lmgpsZ=K{%=>T`y%hp=V(i*EeM1F|mH8%*I830F81>BlBs
zl5eH`F_*td`KSFboIONa<qW3-i?~jj)!vyH$zGzb5jQ%rm>Z;BtFHNteMJAueQ3`D
zu8?w_JurlAye8jz^N^XGBhdzHrVs0QLbi=^z<3T3bCX#{2Nv)T$v5kL2C$K5<k%t}
zOymf$wz`h?%;yqGws{`CSj{~$Y_}JNvxC><-60=L;TUmtI{#?TJTCCbF7-tZmT{ew
zyRD0U{KW$@?s0#Hv5gnx*z0|g(d_08dG<Mb7|(t_kbl3K#$*l?cEAiIg6SM5_Cc|y
zH8VI)tV3oAt(eX+VjecDh+rB=iE+gJXvtKL5O!2e)0~Oy=N);DscS~FlNV$=?mdEG
zZ00c;Pnb&#<S*`$`lQ|@ie>ymqEpTjIx>e-#6E3}{LCcw^Ojs^^gbil!ecU=RbTXB
z1y@LP&e=wLW^#<^=hYpJ7{xZ8kl}*s>B9=Hkm#c8X~zr>^PXInoB{mGI&PEvawrI=
zGjljW*x#PTPmE+U4@mt_DEOA{%;yv_uJ~RWGMo+EA^BBxMMq|Gg!kmU77FSxh}B#p
z(e+Re(3(l?<{9a4h&Mf$&q<=+ltbz<nAKb*;VrdIOUAQ<$E3OKJ&i8R;xKQ>a>w66
zh+-k93A^jw)MX$mxlG)9>WjvVU_CcUeBTTtf^lr+9?2evKdqU-b{>%8q4yHnGKrl$
zBGn_Yq8(G%%@a~Tb`H~lsqE%4sh*hMv}GdOxlgjE-U*3dEStGa;%8z*bADqz*GceP
zf6<tstl|=}|1~?PO&=C=f_G$oVK&f}-`U4gK6`0Rv|&73xJ{y0<}OVb%AZ^y#%r~}
z5A<X<2YAM3Z^VgKj9~-Ui1*fcPCfduh!ec!^LJ{Kj!b47w@LV3?)Z`ZEaEt?N&i87
zY0Ee^a*eqEscCA{i+LR4IiE#~3d+!u-&n&%!lFk7*{DJ%CbN~B#1D%K@>82A=CGf~
zB#RLhl%O$#S;|S?kUnNq5Ke1GvzCiQj};YU;al1<j`jRa%-B&ucB;^kiEQF3apFV;
zxu{APrm&S8#Qi8L$V+v)Go9_+B<}yBf;?2C3zON*Rbt1D^7{;)M+e5Up38*Avra0~
zmeH)?JRisy-~NbT1S>hkD?a-;Dkw=K`ZJ&XJm8ZAQ9%J}(w(Vn;VQ8b$^+lhmQk$Y
z3~xyDNmNjZCJbZ&2Y5ijL{ULLexNfGSjPq4lP+;oP?{zTU_Se}$Hz&;kE(QJ9BVnp
zThb(r3IZC@kGbsOHvjun4EdJU3}-1vcub;X>W3fb#5mS)hF7Fa9u<5^JtCRLX8tBx
zil`t1WoSZw=CYfc#7-$kgwvdX%wsn<iJi*V38y&&na6H!68ke>C!FRCWFEV@N$k|V
zPB_gO$UJs)gP3Weg3l>KBYHD~&0OLgpQW`w>d=h|tl<>TNs>-{s7gCVvXn#ICtiB-
zr2;=Qh<WVdI$;^~8YQVu4<@pPlRV{<jCz1dL@=0n?BpuZK9360Qi8g4V?3)k&SMf}
z(tlLsX9hBd?fk=gQe}<`icp>Qj9?Laxj|T#s309Bs6!XVu$)8OB~I3;AQPo&Ku;#J
zn&Uhoel~N0aGKDYX{_fA&-o;~_3{l(>CIIB;v|oWpF_V<mY;}ZBC9yceLl)*J(Qw8
z-5ASq4sx5Ax#WNn)TR@^v6#JFCt7Z`Kw+xVnnBEB6K8owf;{#{SsK!VaV+NmH;JA%
zDo9Ncs?mnQ%w{v^cuvAE)DGqNiJpvS1qZoBSU&fnFy9kFf2Q*n$GK1J{PxI~RHrS2
znZ-s<^O(2=#EX*DrUS#6$5zhsoCF2Mo-)*@3%{|Dom}P>i3>#qIVsDJbYUcau#NLP
zBYxqiATuSYMLUKtiw&IQ0kMmyL5fn92>LOV)g0y)(TbW)<mX$O5@I~d*vl2(kffM3
z@-_A7$WUgpffL*##+Pb<0(?sodNPJZ?BD{=h*#Wfp*TO#ihfMtPY!U6w<Iay`Fu@1
zIx>{mY~Td<i1C%@lb;IwL{~;ImyMj@F40Ry1u4i&I6u;fq0C|(N4doZJ`MC6UsIR%
z3}yyvIK*|{lDL!_rxdkl%K)bGC;Pd=D-xDAgDF8ZekO{sEMzOExldRbYbFn6sY^Qs
zGL@C=<ucES`?Z>;FqLRbH%2gr^&I6U??_x$%~F!;M9`b@EM_}rc}UE1<{@8Dj=KCp
ze<rb%9h~I>Vc}6ha&l3cnzW)f<5<WRPI8A2Bq?t_d_^@{5XmU!v4Nx9;0+1C(VG;b
z3Qg$7aAvWVgIwVS@hXT9g{Z)fv}XX5Si&|=afkOLs;CbsMr9h&nITML1-m%M1EPPc
zcF4|GRHYf+8O}^rvyV$WAyy^5Np4D0gO-FC#az~Lh%5Zd|0;WrAs^+aO)H`p#T?eM
zpG!O@MiuY4WTyn*(U{H*W(rH$#z}7RhL67!Hwq9=9a__i(ahy94se+##Qa|V$-!5A
zPZPQ@gsCiJJEyqKTM|_DjzmGqQ-@ZB7|BfjWEW?+!&^SC78Rr;A74|07IbGQ(^$qf
zPH=;l{O<=dgxmyFr3sxG#3UB6i6dO$8L_I{AK58RWg60+evD&2>o~wA9ud8UIwvzl
zs6ahh6Ji82Sk5+%bB*W3swsbDr6?7sODiH7&UBWsm1A7x88K_AOR`XeZ>U2AJsHL{
zma>JTT;VA(YDWc0$xLC&Q=69bU?@{r!e)-}4^IfIW4~mg5aHCK1zj1$1m?4rJ)Ged
zFNsrEoXJWN%2SILbY&0|n9o}FaE4pFBu+iola(Trrxq>f${;2%pSA4a47YemocgXO
zD@7<zEn3i(K}=viYuUpYZt;>hKf0c*6rnt|Xh9bSFqYY@WE)5Mn}@t7egid14vO&&
zwP;Rf`ZI=EtY9lgxXc6I5wD^7O?HY>o|-hH6a5&?OqR2S!(8G%Z;AVpIYl;#5Kax6
z(viN5;&+y@nL}LU9&h+xBWD^}DNH%4(}WK6W&~4N$Y1Q{Bv*ON2jVxjAF@%HvQ*<I
z+7ijHOk^Ib*v?TdbDuYS)I?8_iTsqJ3iXMg8v_~3ES9sGgPi9!FNoRHc}jZnP=boo
zra7JH%Wq6)G3(jOX|D5>XwA$(Qj>$Cgj1cyv?Ge4Ok^%A*}_52ag%36Yi=%*imVi*
zG*zg_&vd3QBbmwq*06)4T;eV-iP^$=NLq4IlyX#~A+71oK*sPpOIXhyPI85Zyyc^x
z%_K6Cml9N<CQWEZh+mn&99FQI1DxdsPx+7dE!8JkC_pJHQ<oNWq7TEF#9UUeiG7^n
z3J-WqtO)xh4cRF~X)05PX0#{75XLc+C9Go?$GF5D{v~=VIUyyP$;VezpazX-Lw5!+
zifJrhHQPAEId1TT_x!K5SdxL<6r&tf`H_}%rVqoJ#9UUeiG7^n3J-WqtTy&f8nRP}
z(p07n&1g@EA&g}P3t7!p4se<)+~*}>ZN-2Td`=#UQI_whOEcQhlYxw4D)U*%CiZfI
z%iQ5P{}J~Wu^>G;DNJc9QH#d3p&R`e!6fFejP>l|C>OZN6W$T0ojxZG*(g9sDo~w<
zM9`Vu3}rksS<G6tbBMEC;~}q!+1@)XsmRP16epaj)Tad<2r-y3Ok+MP*uXB1aE@y{
z;3d&JI0yKYbY!OhUs0Z_)T0@{(4Bq^X96=>#A>#%j}u(t7EgFftd90UN<JqyMJUa;
z)Sw|P=}3q{jA9CNS;jhcaELQp;U53;AOGv*-GVe^B_G8p$9L4B32o>~ABHlH87$yW
zHnE3eT;K+ecukDXYL(<<ASZ<gsK5{WNDJE2lL3rm60=yuDmJm3Bb?<5cX`G;Vs$b5
zNltpQlb_<0r7|^X$j`K=2mKhvIHoh7<*Z{n2RO+kZt{p%MDMCsNJ45dlZPUdq5{>Z
zM^oC+g<cG16qA|FVpg-6Jsjm6SGmV?-V?i<+8_lP$Uy;0P>w3p;wM_tfu8hdIOCbY
zAFN<KJ2=QGE^~{=ye6!>nkOk~$U<I<QkshVKz*9gmag<>2&0+892T>RjqKzgC%MRV
z?(>{?#O&cbA}OiKL@o+ag0fViI`wHvYdR50e}*xZsmx(9tJug+4sw!<T<1Q|c}L8i
zo=;LzlZjjuqy%NDM0M)Zl-6`2lKu>1EK`}oVpg${ogCyO7rD-Tp7V~Fk)BUdQj>{X
z6r==YsYG?^)0Eb9B9i_LV=Pmd!(vvkk)0gmBp12PeV+4<m?6(6DXGasE(%hDvQ(lv
z^=V3LIuS{KhB20@%waLB*uZx7ag;M$<_7n9#v7tXdB-6k$w)&ca+057l%hOUs6l<2
z5J7vo(Tjl$XDm~g#R8VImd)(qASXD_6>js07rZBCFa1DbQj(sm<e?BH_?n7Tr8W&|
zP8&MWlfDe$HzqKhxh&>S*0YVh9N{#VxXwME@|tM9ov9??Q&RIeImky*0>Y_Gb?VWW
zmb9ZQQ4C-hW0=fL{$Lqv*u+i_aGZ1e!z~{2FYk!a$6O>4DM&{aa#N7vl%WFOQ;P;P
zqct7rK_3P)lJQJq4vSdHI<~Nj103TFm$=3q9`P@4iQZSN_?RT5BpsQ_Nj{436<<?<
z@2EjN8qtC_bfi1I7{E|QF@b5!W&z7s%?7ryheMp;9Dj3zdpzMK?}^dR`AkAS<ufvn
zmE07d7y;$@ma5d^N1D)*U+7Fv`Y?#$jA0Tpn9Cwou$E2iU>`>~#RaZ#iw8X8HUAN-
zzn&lw$w|ZKWG63$C{Ah0Q<)#ALqnR;iuQCRL_dZwl5tF7Ci7XspR8jGyEwox&Txrq
z+~E=b@|NfW<e!g8LQ2w+nVjUK2w(9v75I)C)T0qCXhTQ3(~AKNWfT*b#%va_jMZ#l
z8+$m&F-~)Vf4IS29`T&ld?3a^Gmwu-Omb3_fh^?Y3kvZi23=5=3RK|-YV#wFX+dk+
z(}kY&W&po3lCex;I<xtMC9GsE8`;Kg4seuHoab+@bBBjK;}!1-8zlb3ClSf`jPztC
z2YD$-F-r0^-%y!q)S^C(Xih8I(U~6fqCZ0z!5AhojakfRF)LWZ2DY+`{T$&W=eW!@
zZu5YryyP9x2YVMI9-r_jsYpjAvXh4b6y+<*P@YOur6%?GiDpFb3!Ugr6#W>?a7HtM
zsmx>^i&)NT*0Y73?Bg&eILjrja*O*s;RSDrHbf5-mxLrGC29GbY~&_CMJPdO!ugi(
zsX<*D(v+68r6b)4(U(CCV-(|=!tcywA<J0BIySR|y&U2=r#a7Mu5y#RJme`ac*6(6
zew8EQl7Pe{BNb`MNEULChx`=gOG;9Pa4J%TYSg4I4QNbrB4|qoy3m6t`ZADT8Nq1A
zGnwhkVjc@w%1YL-p3Q7$H~TrvaZYod%UtCqcX`NDUhswwgblTS;*x;GBqJ4R$w(G*
zkca#f=1WRahHxrUg=*BKE)8f*b0TO<2fEOMDEcyxUm3w@#xt4e%wir3S;|V*u%69q
zXE*yf%yCY0p37Y2CU<$rQ(o|f4}=Y~f8vsW#3UmXX~{?ya*&7o6y{4xQigCUQiW>N
zq%I9;OmiY=O9#5pgDCnkkY5?WXvQ;{>C9pt3t7ra*07$<Y-cz7Im~fRbDqmw<tBG|
z$WvbMh7W`dw}0Z2fW#yt6=}&x7IKh>{1oO(N>YY!DpG}N)TAyAXiRe=XiEpW(1R%Y
zGLT;x!Dz-and!`89t&B@O4hKR&1`2k`#H>UPII2iT;V#mxXS|`^Nbg~<{keLHo}bK
zBjS;OL?k6SsYpY5J|_#=$wglBQ;4DzrzE8*OL;0%neX|5n$)2_4QWg>ex?;|X-_A*
z(t{Aa>Bm5ZFpQCmW*ifl!gOXbhxsgI3CsDDHLPPJTiDJn_Huy39OEQsIL{^i;Tku&
z!+jp{lz(}}TRsqdq`walhq!#qCnO;mDM?K_GLo5W<RlOIC`b{$<SR<?HQ`jC65mmc
z8q}s94QNDDS`a}S+R>3NbSIKt^ko2p8OjJoF_sBTW*WaUn|Ul?G0RxVYW`vao7u)r
z_OPEr9OVS3Imbo*<|;S1%{?CSgy+2E4eyEen|D59^FQK~ki>jS3O*w(8OTIda*&%Z
zC_rI~QG$Rnl;az|r3zK4PA%&4BR|oE=Cq_WztDlsbfYIx^r1h4_?6-O#u&ykiK)zB
z7IXQ7MJ#0nt60l=HnEi*>}DSaIl^&Hah3~Q<_g!j#a$lom}k7;HShS3uu=M-kBCPC
z5|NbTq#_OJ`J60dCl`6iPa%p@oRXBLEaj<4WxnSJYEp;#G^8=j_?cF;r9GYKN)JNx
zrXK?t!Z1cMnsH2I3e%a%9Oko-B`oJp*07F^Y+*aQ*vkP9bBvRm;XIf4hilyA4)=M)
zQ=apJSG?gJABZ+ue2GbHJ|ZshNx&y0CMn5CK`K&{mh@yK6IsYc4swx)FUU_p3R9FX
zDM3j}QHHXF^9>cLL>0cL8r7*uZR%2=2K+>0n$nz~iJ&!YX-5Y-(S>gGAd)D0)0h4X
zWH7%nj1m0CXvQ+0iA-iH)A^lQ%wZmXu#m+pWjQNZ#Tx!%Jsa7~R<^T~-RxyQ2RY19
zj&qXJoaH<hxy(OY<vKUH&0X&EkjFgbIWKs{8{YAOXk+A`n8fBI;u4<(d_rQ9l8h9j
SA~k7APewA4g>2*?7yk!2o5<Jz

literal 0
HcmV?d00001

diff --git a/examples/ode/lorenz63/Lorenz63Train_fit.ipynb b/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
index ea496f08..1048385d 100644
--- a/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
@@ -115,7 +115,7 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:32:17.126869</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m55b7348034\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#m55b7348034\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#m55b7348034\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#m55b7348034\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#m55b7348034\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#m55b7348034\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#m55b7348034\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#m55b7348034\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m7cae61a058\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7cae61a058\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7cae61a058\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7cae61a058\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7cae61a058\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7cae61a058\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7cae61a058\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p9c48bc703e)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9c48bc703e\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:07.933403</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mbdbfe0d7d8\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"md775802c18\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pc7ad1ff173)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pc7ad1ff173\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -124,7 +124,7 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:32:17.333345</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#p8a0aba6e7a)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p8a0aba6e7a\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:09.303618</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#pfd544c78f9)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pfd544c78f9\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -190,389 +190,389 @@
      "output_type": "stream",
      "name": "stdout",
      "text": [
-      "o': Parameter containing:\n",
-      "tensor(9.4876, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.5730, requires_grad=True)}\n",
-      "Epoch: 24\t Loss: tensor(316.2903, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.1060, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.4467, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.4755, requires_grad=True)}\n",
-      "Epoch: 25\t Loss: tensor(315.2972, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.1762, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.4118, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.3780, requires_grad=True)}\n",
-      "Epoch: 26\t Loss: tensor(314.3082, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.2448, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.3833, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.2807, requires_grad=True)}\n",
-      "Epoch: 27\t Loss: tensor(313.3213, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.3119, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.3614, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.1834, requires_grad=True)}\n",
-      "Epoch: 28\t Loss: tensor(312.3339, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.3776, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.3464, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.0862, requires_grad=True)}\n",
-      "Epoch: 29\t Loss: tensor(311.3439, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.4420, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.3385, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.9889, requires_grad=True)}\n",
-      "Epoch: 30\t Loss: tensor(310.3486, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.5053, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.3379, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.8917, requires_grad=True)}\n",
-      "Epoch: 31\t Loss: tensor(309.3456, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.5675, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.3447, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.7945, requires_grad=True)}\n",
-      "Epoch: 32\t Loss: tensor(308.3323, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.6288, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.3590, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.6972, requires_grad=True)}\n",
-      "Epoch: 33\t Loss: tensor(307.3060, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.6894, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.3808, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.5999, requires_grad=True)}\n",
-      "Epoch: 34\t Loss: tensor(306.2645, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.7496, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.4101, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.5024, requires_grad=True)}\n",
-      "Epoch: 35\t Loss: tensor(305.2050, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.8093, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.4468, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.4048, requires_grad=True)}\n",
-      "Epoch: 36\t Loss: tensor(304.1251, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.8690, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.4908, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.3070, requires_grad=True)}\n",
-      "Epoch: 37\t Loss: tensor(303.0227, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.9287, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.5419, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.2090, requires_grad=True)}\n",
-      "Epoch: 38\t Loss: tensor(301.8955, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.9888, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.5999, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.1107, requires_grad=True)}\n",
-      "Epoch: 39\t Loss: tensor(300.7415, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.0494, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.6645, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.0121, requires_grad=True)}\n",
-      "Epoch: 40\t Loss: tensor(299.5587, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.1107, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.7354, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.9132, requires_grad=True)}\n",
-      "Epoch: 41\t Loss: tensor(298.3455, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.1731, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.8124, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.8140, requires_grad=True)}\n",
-      "Epoch: 42\t Loss: tensor(297.1000, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.2368, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.8952, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.7143, requires_grad=True)}\n",
-      "Epoch: 43\t Loss: tensor(295.8210, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.3020, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.9833, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.6142, requires_grad=True)}\n",
-      "Epoch: 44\t Loss: tensor(294.5069, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.3689, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(10.0766, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.5136, requires_grad=True)}\n",
-      "Epoch: 45\t Loss: tensor(293.1565, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.4379, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(10.1746, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.4125, requires_grad=True)}\n",
-      "Epoch: 46\t Loss: tensor(291.7686, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.5090, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(10.2772, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.3109, requires_grad=True)}\n",
-      "Epoch: 47\t Loss: tensor(290.3423, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.5827, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(10.3839, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.2086, requires_grad=True)}\n",
-      "Epoch: 48\t Loss: tensor(288.8764, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.6590, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(10.4944, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.1058, requires_grad=True)}\n",
-      "Epoch: 49\t Loss: tensor(287.3701, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.7383, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(10.6086, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.0023, requires_grad=True)}\n",
-      "Epoch: 50\t Loss: tensor(285.8226, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.8205, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(10.7261, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.8982, requires_grad=True)}\n",
-      "Epoch: 51\t Loss: tensor(284.2330, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.9061, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(10.8467, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.7933, requires_grad=True)}\n",
-      "Epoch: 52\t Loss: tensor(282.6007, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.9950, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(10.9702, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.6878, requires_grad=True)}\n",
-      "Epoch: 53\t Loss: tensor(280.9248, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(12.0875, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(11.0963, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.5815, requires_grad=True)}\n",
-      "Epoch: 54\t Loss: tensor(279.2049, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(12.1835, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(11.2248, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.4745, requires_grad=True)}\n",
-      "Epoch: 55\t Loss: tensor(277.4401, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(12.2833, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(11.3556, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.3666, requires_grad=True)}\n",
-      "Epoch: 56\t Loss: tensor(275.6301, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(12.3868, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(11.4884, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.2580, requires_grad=True)}\n",
-      "Epoch: 57\t Loss: tensor(273.7743, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(12.4941, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(11.6231, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.1486, requires_grad=True)}\n",
-      "Epoch: 58\t Loss: tensor(271.8721, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(12.6052, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(11.7596, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.0384, requires_grad=True)}\n",
-      "Epoch: 59\t Loss: tensor(269.9231, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(12.7201, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(11.8977, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.9273, requires_grad=True)}\n",
-      "Epoch: 60\t Loss: tensor(267.9269, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(12.8388, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(12.0372, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.8154, requires_grad=True)}\n",
-      "Epoch: 61\t Loss: tensor(265.8831, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(12.9612, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(12.1781, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.7026, requires_grad=True)}\n",
-      "Epoch: 62\t Loss: tensor(263.7912, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(13.0872, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(12.3201, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.5890, requires_grad=True)}\n",
-      "Epoch: 63\t Loss: tensor(261.6510, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(13.2169, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(12.4633, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.4745, requires_grad=True)}\n",
-      "Epoch: 64\t Loss: tensor(259.4619, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(13.3500, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(12.6074, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.3592, requires_grad=True)}\n",
-      "Epoch: 65\t Loss: tensor(257.2238, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(13.4865, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(12.7524, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.2430, requires_grad=True)}\n",
-      "Epoch: 66\t Loss: tensor(254.9365, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(13.6264, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(12.8981, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.1259, requires_grad=True)}\n",
-      "Epoch: 67\t Loss: tensor(252.5998, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(13.7695, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(13.0446, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.0079, requires_grad=True)}\n",
-      "Epoch: 68\t Loss: tensor(250.2142, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(13.9160, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(13.1916, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.8891, requires_grad=True)}\n",
-      "Epoch: 69\t Loss: tensor(247.7812, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.0659, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(13.3391, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.7694, requires_grad=True)}\n",
-      "Epoch: 70\t Loss: tensor(245.3035, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.2192, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(13.4870, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.6489, requires_grad=True)}\n",
-      "Epoch: 71\t Loss: tensor(242.7858, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.3761, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(13.6352, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.5276, requires_grad=True)}\n",
-      "Epoch: 72\t Loss: tensor(240.2343, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.5367, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(13.7834, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.4056, requires_grad=True)}\n",
-      "Epoch: 73\t Loss: tensor(237.6580, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.7010, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(13.9314, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.2829, requires_grad=True)}\n",
-      "Epoch: 74\t Loss: tensor(235.0762, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(14.8696, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.0788, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.1598, requires_grad=True)}\n",
-      "Epoch: 75\t Loss: tensor(232.5416, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.0434, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.2250, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.0368, requires_grad=True)}\n",
-      "Epoch: 76\t Loss: tensor(230.1575, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.2226, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.3681, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.9145, requires_grad=True)}\n",
-      "Epoch: 77\t Loss: tensor(227.9834, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.4065, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.5044, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.7935, requires_grad=True)}\n",
-      "Epoch: 78\t Loss: tensor(227.3086, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.5729, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.5748, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.6924, requires_grad=True)}\n",
-      "Epoch: 79\t Loss: tensor(101.9908, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.5999, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.6800, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5661, requires_grad=True)}\n",
-      "Epoch: 80\t Loss: tensor(93.9531, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.6264, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.7984, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.4405, requires_grad=True)}\n",
-      "Epoch: 81\t Loss: tensor(90.2411, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.6622, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.9234, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.3207, requires_grad=True)}\n",
-      "Epoch: 82\t Loss: tensor(87.6202, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.7117, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.0525, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.2093, requires_grad=True)}\n",
-      "Epoch: 83\t Loss: tensor(85.6043, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.7768, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.1842, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.1078, requires_grad=True)}\n",
-      "Epoch: 84\t Loss: tensor(83.9932, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.8573, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.3174, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.0170, requires_grad=True)}\n",
-      "Epoch: 85\t Loss: tensor(82.6225, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(15.9508, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.4505, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.9363, requires_grad=True)}\n",
-      "Epoch: 86\t Loss: tensor(81.3660, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.0538, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.5821, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.8641, requires_grad=True)}\n",
-      "Epoch: 87\t Loss: tensor(80.1497, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.1621, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.7109, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7978, requires_grad=True)}\n",
-      "Epoch: 88\t Loss: tensor(78.9316, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.2717, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.8360, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7346, requires_grad=True)}\n",
-      "Epoch: 89\t Loss: tensor(77.6843, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.3790, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.9567, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6724, requires_grad=True)}\n",
-      "Epoch: 90\t Loss: tensor(76.4353, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.4827, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.0732, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6107, requires_grad=True)}\n",
-      "Epoch: 91\t Loss: tensor(75.4091, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.5868, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.1859, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.5542, requires_grad=True)}\n",
-      "Epoch: 92\t Loss: tensor(75.0112, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.6996, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.2946, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.5122, requires_grad=True)}\n",
-      "Epoch: 93\t Loss: tensor(75.1785, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.8261, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.3978, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.4920, requires_grad=True)}\n",
-      "Epoch: 94\t Loss: tensor(75.2349, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.9665, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.4938, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.4953, requires_grad=True)}\n",
-      "Epoch: 95\t Loss: tensor(74.6912, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.1188, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.5822, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.5201, requires_grad=True)}\n",
-      "Epoch: 96\t Loss: tensor(73.5248, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.2788, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.6637, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.5593, requires_grad=True)}\n",
-      "Epoch: 97\t Loss: tensor(72.4504, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.4378, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.7405, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.5999, requires_grad=True)}\n",
-      "Epoch: 98\t Loss: tensor(72.1820, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.5891, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.8132, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6316, requires_grad=True)}\n",
-      "Epoch: 99\t Loss: tensor(72.2339, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.7342, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.8818, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6545, requires_grad=True)}\n"
+      "ameter containing:\n",
+      "tensor(16.9669, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.8215, requires_grad=True)}\n",
+      "Epoch: 24\t Loss: tensor(307.4054, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.5103, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.8939, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.7227, requires_grad=True)}\n",
+      "Epoch: 25\t Loss: tensor(305.5780, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.6012, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.8234, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.6239, requires_grad=True)}\n",
+      "Epoch: 26\t Loss: tensor(303.7665, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.6915, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.7555, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.5253, requires_grad=True)}\n",
+      "Epoch: 27\t Loss: tensor(301.9700, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.7812, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.6904, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.4266, requires_grad=True)}\n",
+      "Epoch: 28\t Loss: tensor(300.1871, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.8703, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.6282, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.3281, requires_grad=True)}\n",
+      "Epoch: 29\t Loss: tensor(298.4171, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(16.9587, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.5690, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.2296, requires_grad=True)}\n",
+      "Epoch: 30\t Loss: tensor(296.6586, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.0466, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.5130, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.1311, requires_grad=True)}\n",
+      "Epoch: 31\t Loss: tensor(294.9107, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.1339, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.4602, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(8.0326, requires_grad=True)}\n",
+      "Epoch: 32\t Loss: tensor(293.1724, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.2206, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.4108, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.9342, requires_grad=True)}\n",
+      "Epoch: 33\t Loss: tensor(291.4423, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.3068, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.3649, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.8359, requires_grad=True)}\n",
+      "Epoch: 34\t Loss: tensor(289.7193, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.3924, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.3227, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.7375, requires_grad=True)}\n",
+      "Epoch: 35\t Loss: tensor(288.0017, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.4775, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.2841, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.6392, requires_grad=True)}\n",
+      "Epoch: 36\t Loss: tensor(286.2880, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.5621, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.2494, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.5408, requires_grad=True)}\n",
+      "Epoch: 37\t Loss: tensor(284.5766, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.6462, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.2186, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.4425, requires_grad=True)}\n",
+      "Epoch: 38\t Loss: tensor(282.8662, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.7299, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.1918, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.3441, requires_grad=True)}\n",
+      "Epoch: 39\t Loss: tensor(281.1555, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.8132, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.1691, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.2457, requires_grad=True)}\n",
+      "Epoch: 40\t Loss: tensor(279.4431, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.8960, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.1505, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.1473, requires_grad=True)}\n",
+      "Epoch: 41\t Loss: tensor(277.7280, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(17.9786, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.1362, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(7.0488, requires_grad=True)}\n",
+      "Epoch: 42\t Loss: tensor(276.0083, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.0610, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.1262, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.9502, requires_grad=True)}\n",
+      "Epoch: 43\t Loss: tensor(274.2825, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.1431, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.1205, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.8516, requires_grad=True)}\n",
+      "Epoch: 44\t Loss: tensor(272.5486, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.2251, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.1192, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.7529, requires_grad=True)}\n",
+      "Epoch: 45\t Loss: tensor(270.8046, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.3069, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.1221, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.6541, requires_grad=True)}\n",
+      "Epoch: 46\t Loss: tensor(269.0491, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.3887, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.1294, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.5552, requires_grad=True)}\n",
+      "Epoch: 47\t Loss: tensor(267.2812, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.4704, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.1411, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.4561, requires_grad=True)}\n",
+      "Epoch: 48\t Loss: tensor(265.5007, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.5522, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.1571, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.3569, requires_grad=True)}\n",
+      "Epoch: 49\t Loss: tensor(263.7072, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.6343, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.1775, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.2576, requires_grad=True)}\n",
+      "Epoch: 50\t Loss: tensor(261.9002, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.7168, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.2021, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.1581, requires_grad=True)}\n",
+      "Epoch: 51\t Loss: tensor(260.0781, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.7998, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.2309, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.0585, requires_grad=True)}\n",
+      "Epoch: 52\t Loss: tensor(258.2383, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.8833, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.2637, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.9587, requires_grad=True)}\n",
+      "Epoch: 53\t Loss: tensor(256.3786, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(18.9673, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.3005, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.8587, requires_grad=True)}\n",
+      "Epoch: 54\t Loss: tensor(254.4987, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(19.0520, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.3409, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.7585, requires_grad=True)}\n",
+      "Epoch: 55\t Loss: tensor(252.6027, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(19.1376, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.3851, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.6581, requires_grad=True)}\n",
+      "Epoch: 56\t Loss: tensor(250.6988, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(19.2247, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.4327, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.5576, requires_grad=True)}\n",
+      "Epoch: 57\t Loss: tensor(248.7966, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(19.3138, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.4836, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.4571, requires_grad=True)}\n",
+      "Epoch: 58\t Loss: tensor(246.8992, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(19.4053, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.5371, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.3565, requires_grad=True)}\n",
+      "Epoch: 59\t Loss: tensor(244.9998, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(19.4993, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.5927, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.2560, requires_grad=True)}\n",
+      "Epoch: 60\t Loss: tensor(243.0940, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(19.5959, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.6496, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.1554, requires_grad=True)}\n",
+      "Epoch: 61\t Loss: tensor(241.2160, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(19.6965, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.7071, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(5.0552, requires_grad=True)}\n",
+      "Epoch: 62\t Loss: tensor(239.4419, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(19.8034, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.7632, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.9557, requires_grad=True)}\n",
+      "Epoch: 63\t Loss: tensor(237.7399, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(19.9153, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.8171, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.8565, requires_grad=True)}\n",
+      "Epoch: 64\t Loss: tensor(235.9082, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.0322, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.8676, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.7578, requires_grad=True)}\n",
+      "Epoch: 65\t Loss: tensor(235.4820, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.1639, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.8481, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.6737, requires_grad=True)}\n",
+      "Epoch: 66\t Loss: tensor(87.1589, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.1819, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.9130, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.5687, requires_grad=True)}\n",
+      "Epoch: 67\t Loss: tensor(72.1098, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.1713, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(17.0075, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.4549, requires_grad=True)}\n",
+      "Epoch: 68\t Loss: tensor(68.1910, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.1643, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(17.0997, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.3467, requires_grad=True)}\n",
+      "Epoch: 69\t Loss: tensor(67.0227, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.1610, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(17.1825, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.2438, requires_grad=True)}\n",
+      "Epoch: 70\t Loss: tensor(65.9678, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.1574, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(17.2545, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.1441, requires_grad=True)}\n",
+      "Epoch: 71\t Loss: tensor(64.5484, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.1486, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(17.3158, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.0448, requires_grad=True)}\n",
+      "Epoch: 72\t Loss: tensor(62.6232, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.1309, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(17.3684, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.9442, requires_grad=True)}\n",
+      "Epoch: 73\t Loss: tensor(60.3717, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.1065, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(17.4169, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.8431, requires_grad=True)}\n",
+      "Epoch: 74\t Loss: tensor(58.5561, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.0881, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(17.4682, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.7467, requires_grad=True)}\n",
+      "Epoch: 75\t Loss: tensor(58.1403, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.0962, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(17.5276, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.6645, requires_grad=True)}\n",
+      "Epoch: 76\t Loss: tensor(58.9824, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.1406, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(17.5961, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.6040, requires_grad=True)}\n",
+      "Epoch: 77\t Loss: tensor(59.8995, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.2166, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(17.6720, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5671, requires_grad=True)}\n",
+      "Epoch: 78\t Loss: tensor(60.1414, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.3171, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(17.7531, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5523, requires_grad=True)}\n",
+      "Epoch: 79\t Loss: tensor(59.5519, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.4366, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(17.8379, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5577, requires_grad=True)}\n",
+      "Epoch: 80\t Loss: tensor(58.1238, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.5706, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(17.9256, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5811, requires_grad=True)}\n",
+      "Epoch: 81\t Loss: tensor(56.0462, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.7143, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.0151, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.6173, requires_grad=True)}\n",
+      "Epoch: 82\t Loss: tensor(54.1216, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.8597, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.1039, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.6568, requires_grad=True)}\n",
+      "Epoch: 83\t Loss: tensor(53.4646, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(20.9949, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.1881, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.6870, requires_grad=True)}\n",
+      "Epoch: 84\t Loss: tensor(54.0363, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(21.1101, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.2645, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.6989, requires_grad=True)}\n",
+      "Epoch: 85\t Loss: tensor(54.6685, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(21.2017, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.3316, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.6902, requires_grad=True)}\n",
+      "Epoch: 86\t Loss: tensor(54.5350, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(21.2711, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.3899, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.6623, requires_grad=True)}\n",
+      "Epoch: 87\t Loss: tensor(53.5211, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(21.3234, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.4416, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.6196, requires_grad=True)}\n",
+      "Epoch: 88\t Loss: tensor(52.1546, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(21.3693, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.4895, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5702, requires_grad=True)}\n",
+      "Epoch: 89\t Loss: tensor(51.5029, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(21.4250, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.5349, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5270, requires_grad=True)}\n",
+      "Epoch: 90\t Loss: tensor(52.0075, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(21.5022, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.5770, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5016, requires_grad=True)}\n",
+      "Epoch: 91\t Loss: tensor(52.6058, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(21.6020, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.6143, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.4983, requires_grad=True)}\n",
+      "Epoch: 92\t Loss: tensor(52.3063, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(21.7194, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.6467, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5139, requires_grad=True)}\n",
+      "Epoch: 93\t Loss: tensor(51.2853, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(21.8464, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.6755, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5399, requires_grad=True)}\n",
+      "Epoch: 94\t Loss: tensor(50.5587, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(21.9722, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.7019, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5641, requires_grad=True)}\n",
+      "Epoch: 95\t Loss: tensor(50.7093, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(22.0866, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.7263, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5755, requires_grad=True)}\n",
+      "Epoch: 96\t Loss: tensor(51.0912, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(22.1849, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.7484, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5699, requires_grad=True)}\n",
+      "Epoch: 97\t Loss: tensor(50.9580, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(22.2685, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.7683, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5488, requires_grad=True)}\n",
+      "Epoch: 98\t Loss: tensor(50.3099, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(22.3433, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.7867, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.5183, requires_grad=True)}\n",
+      "Epoch: 99\t Loss: tensor(49.7464, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(22.4191, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.8036, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.4880, requires_grad=True)}\n"
      ]
     }
    ],
@@ -597,11 +597,11 @@
      "data": {
       "text/plain": [
        "{'sigma': Parameter containing:\n",
-       " tensor(17.7342, requires_grad=True),\n",
+       " tensor(22.4191, requires_grad=True),\n",
        " 'rho': Parameter containing:\n",
-       " tensor(16.8818, requires_grad=True),\n",
+       " tensor(18.8036, requires_grad=True),\n",
        " 'beta': Parameter containing:\n",
-       " tensor(2.6545, requires_grad=True)}"
+       " tensor(3.4880, requires_grad=True)}"
       ]
      },
      "metadata": {},
@@ -611,7 +611,7 @@
    "source": [
     "ode_solver_train.coeffs\n",
     "\n",
-    "# \"beta\" is close but \"sigma\" and \"rho\" are far off"
+    "# The parameters are far off"
    ]
   },
   {
@@ -623,7 +623,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -632,7 +632,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -640,16 +640,16 @@
      "data": {
       "text/plain": [
        "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 8.2266e-01,  1.6882e-01,  0.0000e+00],\n",
-       "        [ 7.0670e-01,  3.0601e-01,  1.3888e-03],\n",
+       "        [ 7.7581e-01,  1.8804e-01,  0.0000e+00],\n",
+       "        [ 6.4404e-01,  3.3203e-01,  1.4588e-03],\n",
        "        ...,\n",
-       "        [-6.4928e+00, -6.4932e+00,  1.5881e+01],\n",
-       "        [-6.4929e+00, -6.4933e+00,  1.5881e+01],\n",
-       "        [-6.4930e+00, -6.4933e+00,  1.5881e+01]], grad_fn=<StackBackward>)"
+       "        [-7.8803e+00, -7.8803e+00,  1.7804e+01],\n",
+       "        [-7.8803e+00, -7.8803e+00,  1.7804e+01],\n",
+       "        [-7.8803e+00, -7.8803e+00,  1.7804e+01]], grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
-     "execution_count": 14
+     "execution_count": 11
     }
    ],
    "source": [
@@ -658,22 +658,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "output_type": "stream",
      "name": "stderr",
      "text": [
-      "<ipython-input-15-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+      "<ipython-input-12-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
      ]
     },
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:53:49.885766</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"md7cd560e1d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.168785\" xlink:href=\"#md7cd560e1d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(43.616441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"115.192178\" xlink:href=\"#md7cd560e1d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(107.821084 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.215571\" xlink:href=\"#md7cd560e1d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(173.034321 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"237.238963\" xlink:href=\"#md7cd560e1d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(234.057713 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"298.262356\" xlink:href=\"#md7cd560e1d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(291.899856 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"359.285749\" xlink:href=\"#md7cd560e1d\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(352.923249 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m6d0e35f661\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m6d0e35f661\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m6d0e35f661\" y=\"221.040924\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 5 -->\n      <g transform=\"translate(13.5625 224.840142)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m6d0e35f661\" y=\"180.865847\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 184.665066)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m6d0e35f661\" y=\"140.690771\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 15 -->\n      <g transform=\"translate(7.2 144.48999)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m6d0e35f661\" y=\"100.515695\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 104.314914)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m6d0e35f661\" y=\"60.340619\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 25 -->\n      <g transform=\"translate(7.2 64.139837)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m6d0e35f661\" y=\"20.165542\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 23.964761)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p6eb33cb61c)\" d=\"M 188.420249 261.216 \nL 183.354618 261.143015 \nL 183.43252 261.115768 \nL 186.115333 260.896153 \nL 191.735012 260.3656 \nL 196.729447 259.712785 \nL 203.346685 258.571762 \nL 208.889725 257.370515 \nL 215.533268 255.632791 \nL 219.326843 254.493417 \nL 223.468655 253.126169 \nL 227.984798 251.487338 \nL 232.901391 249.525683 \nL 238.243818 247.181509 \nL 244.035685 244.385832 \nL 250.297384 241.059723 \nL 257.044231 237.114014 \nL 264.284061 232.449592 \nL 272.014131 226.958623 \nL 280.217339 220.527096 \nL 288.857567 213.03923 \nL 297.874349 204.384311 \nL 307.176724 194.466537 \nL 316.636882 183.218323 \nL 326.083922 170.617198 \nL 335.298758 156.705653 \nL 344.011511 141.612336 \nL 351.903076 125.571601 \nL 358.61273 108.93667 \nL 363.753851 92.180574 \nL 366.938721 75.878867 \nL 367.812273 60.670057 \nL 366.092172 47.194049 \nL 361.610045 36.015957 \nL 354.346268 27.549435 \nL 344.450056 21.997899 \nL 332.238173 19.329839 \nL 318.169939 19.296 \nL 302.802074 21.483496 \nL 286.731825 25.391181 \nL 270.53962 30.505969 \nL 254.741299 36.363649 \nL 239.756291 42.585434 \nL 225.893253 48.89056 \nL 213.350854 55.090843 \nL 202.229316 61.074882 \nL 192.547788 66.788747 \nL 184.263577 72.217572 \nL 177.29049 77.370383 \nL 171.51471 82.268912 \nL 166.807634 86.939917 \nL 163.035654 91.410464 \nL 160.067222 95.705319 \nL 157.777646 99.845753 \nL 156.052085 103.849238 \nL 154.787178 107.729719 \nL 153.891667 111.498018 \nL 153.286303 115.162409 \nL 152.903278 118.729145 \nL 152.685347 122.202917 \nL 152.562287 128.884699 \nL 152.655869 146.933974 \nL 152.426289 152.31132 \nL 151.968228 157.375932 \nL 151.254503 162.128937 \nL 150.265224 166.56907 \nL 148.982333 170.692049 \nL 147.386243 174.489696 \nL 146.463693 176.26265 \nL 145.453833 177.9489 \nL 144.353053 179.54581 \nL 143.157431 181.050268 \nL 141.862729 182.458604 \nL 140.464408 183.76655 \nL 138.957647 184.969155 \nL 137.337362 186.060727 \nL 135.598251 187.034744 \nL 133.734842 187.883766 \nL 131.74155 188.599378 \nL 129.612776 189.172087 \nL 127.343001 189.591234 \nL 124.926906 189.844934 \nL 122.359547 189.920006 \nL 119.636535 189.801922 \nL 116.754275 189.474798 \nL 113.710223 188.921407 \nL 110.503238 188.123266 \nL 107.133938 187.060775 \nL 103.605161 185.713457 \nL 99.922438 184.060318 \nL 96.094567 182.080315 \nL 92.134224 179.75305 \nL 88.058616 177.059588 \nL 83.890151 173.98353 \nL 79.657122 170.51231 \nL 75.394331 166.638694 \nL 71.143605 162.36246 \nL 66.954159 157.69226 \nL 62.88269 152.647479 \nL 58.993119 147.260025 \nL 55.355923 141.575816 \nL 52.046861 135.65576 \nL 49.145117 129.57602 \nL 46.730814 123.4272 \nL 44.881832 117.312403 \nL 43.670135 111.34398 \nL 43.157727 105.638974 \nL 43.392573 100.313627 \nL 44.404726 95.477213 \nL 46.20324 91.225822 \nL 48.774056 87.636878 \nL 52.079358 84.76485 \nL 56.058447 82.63881 \nL 60.630243 81.262021 \nL 65.697198 80.613673 \nL 71.150239 80.652232 \nL 76.874313 81.32009 \nL 82.753976 82.548726 \nL 88.678531 84.263857 \nL 94.546373 86.390036 \nL 100.26823 88.854373 \nL 105.769225 91.58916 \nL 110.989795 94.533633 \nL 115.885623 97.634686 \nL 120.426744 100.847003 \nL 124.596094 104.132684 \nL 128.387718 107.460525 \nL 131.804798 110.80521 \nL 134.85771 114.146415 \nL 137.562175 117.467988 \nL 139.937608 120.757179 \nL 142.005697 124.003994 \nL 143.789226 127.200633 \nL 145.311124 130.341042 \nL 146.593747 133.420548 \nL 147.658349 136.435533 \nL 148.52472 139.383231 \nL 149.210946 142.261512 \nL 149.733303 145.068744 \nL 150.106211 147.803654 \nL 150.342259 150.465255 \nL 150.452268 153.052733 \nL 150.32922 158.002595 \nL 149.792302 162.64803 \nL 148.875601 166.983114 \nL 147.595657 170.999801 \nL 146.820612 172.885315 \nL 145.954555 174.68656 \nL 144.995912 176.401316 \nL 143.942486 178.026961 \nL 142.791526 179.560423 \nL 141.539776 180.998115 \nL 140.18352 182.335869 \nL 138.71864 183.568881 \nL 137.140658 184.691632 \nL 135.444802 185.697817 \nL 133.626073 186.580264 \nL 131.679314 187.330857 \nL 129.599307 187.940455 \nL 127.38087 188.398805 \nL 125.019008 188.694489 \nL 122.509042 188.814848 \nL 119.846811 188.745944 \nL 117.028898 188.472536 \nL 114.052889 187.978118 \nL 110.917678 187.244973 \nL 107.623835 186.25432 \nL 104.17402 184.986527 \nL 100.573453 183.421448 \nL 96.83045 181.53887 \nL 92.956993 179.319137 \nL 88.96935 176.743934 \nL 84.888726 173.797286 \nL 80.741898 170.46674 \nL 76.56181 166.744786 \nL 72.388089 162.630428 \nL 68.267397 158.130924 \nL 64.253554 153.263559 \nL 60.407351 148.057339 \nL 56.795936 142.554461 \nL 53.491704 136.811324 \nL 50.570639 130.898863 \nL 48.109977 124.902011 \nL 46.185374 118.917987 \nL 44.867422 113.053502 \nL 44.217904 107.420633 \nL 44.285877 102.131823 \nL 45.103979 97.29409 \nL 46.685281 93.00319 \nL 49.021124 89.338201 \nL 52.08015 86.357178 \nL 55.808819 84.094402 \nL 60.133478 82.559546 \nL 64.963713 81.738754 \nL 70.196888 81.597468 \nL 75.723234 82.084514 \nL 81.43124 83.136891 \nL 87.212626 84.684652 \nL 92.966724 86.655429 \nL 98.603847 88.978219 \nL 104.047559 91.586187 \nL 109.2359 94.418553 \nL 114.12155 97.421615 \nL 118.671225 100.549074 \nL 122.864454 103.761774 \nL 126.691958 107.027195 \nL 130.153829 110.318699 \nL 133.25766 113.614709 \nL 136.016759 116.897923 \nL 138.448506 120.154562 \nL 140.572921 123.373729 \nL 142.411469 126.546859 \nL 143.986072 129.667208 \nL 145.318352 132.72951 \nL 146.429057 135.729668 \nL 147.337658 138.664485 \nL 148.062076 141.531456 \nL 148.618538 144.328626 \nL 149.021502 147.054456 \nL 149.283663 149.707696 \nL 149.41599 152.287312 \nL 149.427815 154.792408 \nL 149.119671 159.575773 \nL 148.40501 164.051078 \nL 147.310259 168.210294 \nL 146.624135 170.168144 \nL 145.845783 172.042638 \nL 144.974455 173.831769 \nL 144.008723 175.533168 \nL 142.946544 177.144062 \nL 141.785319 178.661225 \nL 140.521944 180.08091 \nL 139.15287 181.398787 \nL 137.67415 182.609883 \nL 136.081503 183.70852 \nL 134.37037 184.688222 \nL 132.535992 185.54165 \nL 130.573486 186.260542 \nL 128.477949 186.835604 \nL 126.244561 187.256474 \nL 123.868744 187.51163 \nL 121.346295 187.588373 \nL 118.6736 187.472757 \nL 115.847871 187.149632 \nL 112.867399 186.602655 \nL 109.731885 185.814399 \nL 106.442803 184.766513 \nL 103.003806 183.439969 \nL 99.421221 181.815443 \nL 95.704552 179.873785 \nL 91.86705 177.59668 \nL 87.926301 174.96747 \nL 83.904857 171.972163 \nL 79.830803 168.600629 \nL 75.738319 164.848016 \nL 71.668071 160.716279 \nL 67.667508 156.215832 \nL 63.790845 151.367218 \nL 60.098758 146.202622 \nL 56.657637 140.767131 \nL 53.538343 135.11948 \nL 50.814459 129.332098 \nL 48.559882 123.49028 \nL 46.845962 117.690255 \nL 45.738134 112.036129 \nL 45.292291 106.63581 \nL 45.551137 101.595995 \nL 46.540826 97.016759 \nL 48.268236 92.986071 \nL 50.719226 89.574966 \nL 53.858121 86.833818 \nL 57.628564 84.790183 \nL 61.955748 83.448429 \nL 66.749948 82.791161 \nL 71.910878 82.782119 \nL 77.332645 83.370192 \nL 82.908714 84.493894 \nL 88.53652 86.085961 \nL 94.121411 88.077427 \nL 99.579609 90.400984 \nL 104.840189 92.993519 \nL 109.846026 95.797763 \nL 114.553844 98.763139 \nL 118.933522 101.84597 \nL 122.966891 105.009292 \nL 126.646175 108.222298 \nL 129.972256 111.459642 \nL 132.952932 114.700726 \nL 135.601234 117.92892 \nL 137.933916 121.130923 \nL 139.970116 124.29613 \nL 141.730253 127.416126 \nL 143.23512 130.484245 \nL 144.505173 133.495245 \nL 145.560016 136.444974 \nL 146.418014 139.330151 \nL 147.096064 142.148164 \nL 147.609441 144.896937 \nL 147.971737 147.574782 \nL 148.194871 150.180299 \nL 148.289123 152.71229 \nL 148.263214 155.169678 \nL 148.124392 157.551448 \nL 147.530285 162.084048 \nL 146.539377 166.301133 \nL 145.900596 168.287972 \nL 145.167335 170.191439 \nL 144.339389 172.009527 \nL 143.415843 173.739899 \nL 142.39513 175.379828 \nL 141.275096 176.926155 \nL 140.053067 178.375235 \nL 138.7259 179.722874 \nL 137.290039 180.964253 \nL 135.741586 182.093894 \nL 134.07635 183.105558 \nL 132.289938 183.992188 \nL 130.377818 184.745846 \nL 128.335425 185.357628 \nL 126.158279 185.817602 \nL 123.842107 186.114757 \nL 121.383005 186.236964 \nL 118.77762 186.170918 \nL 116.023386 185.902192 \nL 113.118755 185.415222 \nL 110.063518 184.693433 \nL 106.859152 183.719393 \nL 103.50919 182.475033 \nL 100.01969 180.941993 \nL 96.399709 179.102081 \nL 92.661833 176.937887 \nL 88.822741 174.433512 \nL 84.903775 171.575537 \nL 80.93149 168.354124 \nL 76.938155 164.764292 \nL 72.962174 160.807382 \nL 69.048324 156.492558 \nL 65.247805 151.838373 \nL 61.61793 146.874204 \nL 58.221539 141.641447 \nL 55.125837 136.194293 \nL 52.400824 130.599876 \nL 50.117137 124.937582 \nL 48.343414 119.297479 \nL 47.143241 113.777605 \nL 46.571728 108.480351 \nL 46.672141 103.507922 \nL 47.472679 98.957375 \nL 48.983796 94.915485 \nL 51.196355 91.45405 \nL 54.080885 88.626221 \nL 57.588117 86.464043 \nL 61.650799 84.977768 \nL 66.186653 84.156685 \nL 71.102344 83.971476 \nL 76.297971 84.377665 \nL 81.671743 85.319743 \nL 87.124406 86.735351 \nL 92.563137 88.559309 \nL 97.904599 90.726913 \nL 103.077075 93.176614 \nL 108.021655 95.851785 \nL 112.692536 98.70176 \nL 117.056606 101.682308 \nL 121.092465 104.755561 \nL 124.789068 107.889596 \nL 128.14414 111.057913 \nL 131.162556 114.238736 \nL 133.854729 117.414333 \nL 136.235127 120.57036 \nL 138.320957 123.695275 \nL 140.13105 126.779854 \nL 141.684927 129.816693 \nL 143.002061 132.799893 \nL 144.101319 135.724748 \nL 145.000547 138.587482 \nL 145.716293 141.385066 \nL 146.263628 144.115034 \nL 146.656058 146.775354 \nL 146.905497 149.364327 \nL 147.022286 151.88048 \nL 147.015253 154.322487 \nL 146.891789 156.689109 \nL 146.657938 158.979117 \nL 146.318501 161.191249 \nL 145.877125 163.324156 \nL 145.336413 165.376342 \nL 144.698004 167.346131 \nL 143.962666 169.231606 \nL 143.130381 171.030583 \nL 142.200411 172.740534 \nL 141.171378 174.358547 \nL 140.04132 175.881288 \nL 138.807762 177.304919 \nL 137.467771 178.625057 \nL 136.018022 179.836712 \nL 134.454863 180.9342 \nL 132.774385 181.911113 \nL 130.972504 182.760227 \nL 129.045041 183.473441 \nL 126.987834 184.041721 \nL 124.796855 184.455036 \nL 122.468345 184.702322 \nL 119.998989 184.771425 \nL 117.386108 184.649127 \nL 114.627882 184.321152 \nL 111.723623 183.77222 \nL 108.674077 182.986179 \nL 105.481764 181.946193 \nL 102.151379 180.634991 \nL 98.690239 179.035269 \nL 95.108743 177.13017 \nL 91.420875 174.903915 \nL 87.644764 172.34259 \nL 83.803176 169.435114 \nL 79.924028 166.174322 \nL 76.040812 162.55826 \nL 72.192922 158.591541 \nL 68.425773 154.286786 \nL 64.790718 149.666026 \nL 61.344651 144.761934 \nL 58.149212 139.618809 \nL 55.269571 134.293049 \nL 52.772711 128.85299 \nL 50.725278 123.377959 \nL 49.190906 117.95643 \nL 48.227266 112.68316 \nL 47.882894 107.655574 \nL 48.194071 102.969381 \nL 49.181979 98.713836 \nL 50.850459 94.967193 \nL 53.18466 91.792561 \nL 56.150677 89.23483 \nL 59.696446 87.318919 \nL 63.753762 86.049425 \nL 68.241337 85.411896 \nL 73.068627 85.375222 \nL 78.140074 85.895004 \nL 83.359428 86.917358 \nL 88.633743 88.382805 \nL 93.876811 90.229782 \nL 99.011804 92.397615 \nL 103.973074 94.828834 \nL 108.707069 97.470656 \nL 113.172476 100.275911 \nL 117.339737 103.203341 \nL 121.190055 106.217545 \nL 124.714117 109.288606 \nL 127.910597 112.391545 \nL 130.784655 115.505763 \nL 133.346456 118.614357 \nL 135.609815 121.703579 \nL 137.590996 124.762272 \nL 139.30769 127.781441 \nL 140.778165 130.753806 \nL 142.020604 133.673489 \nL 143.052587 136.535747 \nL 143.890726 139.336734 \nL 144.5504 142.073291 \nL 145.045603 144.742807 \nL 145.388857 147.343098 \nL 145.591186 149.87227 \nL 145.662145 152.328645 \nL 145.609861 154.710684 \nL 145.441117 157.016923 \nL 145.161422 159.245874 \nL 144.775111 161.396022 \nL 144.285435 163.465733 \nL 143.694651 165.453215 \nL 143.004112 167.356468 \nL 142.214349 169.173238 \nL 141.325142 170.900967 \nL 140.335607 172.536734 \nL 139.244255 174.077215 \nL 138.049061 175.518616 \nL 136.747529 176.856616 \nL 135.336766 178.086325 \nL 133.813538 179.20221 \nL 132.174351 180.198036 \nL 130.415535 181.066789 \nL 128.533322 181.800646 \nL 126.523962 182.390888 \nL 124.38384 182.827874 \nL 122.109599 183.100975 \nL 119.698328 183.198584 \nL 117.147724 183.108071 \nL 114.456336 182.815851 \nL 111.623799 182.307417 \nL 108.651136 181.567491 \nL 105.541078 180.580171 \nL 102.298448 179.329221 \nL 98.930561 177.798418 \nL 95.447673 175.972023 \nL 91.863453 173.83537 \nL 88.195471 171.375623 \nL 84.465678 168.582636 \nL 80.700881 165.45002 \nL 76.933092 161.976271 \nL 73.19986 158.166073 \nL 69.544343 154.031585 \nL 66.015241 149.593743 \nL 62.666385 144.883381 \nL 59.556053 139.942132 \nL 56.74577 134.822854 \nL 54.298831 129.589522 \nL 52.278216 124.316375 \nL 50.744216 119.086262 \nL 49.751698 113.988102 \nL 49.34721 109.113603 \nL 49.566075 104.553279 \nL 50.429745 100.392186 \nL 51.943714 96.705711 \nL 54.096144 93.555677 \nL 56.857438 90.987417 \nL 60.180897 89.02792 \nL 64.004461 87.685353 \nL 68.25336 86.949894 \nL 72.843535 86.795765 \nL 77.685514 87.184084 \nL 82.688382 88.066347 \nL 87.76352 89.387933 \nL 92.827919 91.091401 \nL 97.806782 93.119373 \nL 102.635359 95.416815 \nL 107.259985 97.932585 \nL 111.638412 100.620461 \nL 115.739498 103.439585 \nL 119.542414 106.354509 \nL 123.035539 109.334981 \nL 126.215125 112.355499 \nL 129.083919 115.39479 \nL 131.649777 118.435247 \nL 133.924382 121.4624 \nL 135.92208 124.46442 \nL 137.658874 127.43162 \nL 139.151589 130.356123 \nL 140.417199 133.231507 \nL 141.472289 136.052509 \nL 142.332674 138.814814 \nL 143.013112 141.514843 \nL 143.527121 144.149608 \nL 143.886874 146.716558 \nL 144.103161 149.213485 \nL 144.185378 151.638412 \nL 144.14157 153.989516 \nL 143.978492 156.26505 \nL 143.701666 158.463289 \nL 143.315478 160.582456 \nL 142.823258 162.620673 \nL 142.227361 164.575918 \nL 141.52926 166.445952 \nL 140.729618 168.228294 \nL 139.828367 169.920138 \nL 138.82479 171.518335 \nL 137.717582 173.019314 \nL 136.504926 174.419045 \nL 135.184556 175.712975 \nL 133.753837 176.895979 \nL 132.209827 177.962279 \nL 130.549369 178.905423 \nL 128.769169 179.718192 \nL 126.865895 180.392571 \nL 124.8363 180.919686 \nL 122.677329 181.289776 \nL 120.386286 181.492173 \nL 117.960996 181.515269 \nL 115.399997 181.346565 \nL 112.70279 180.972697 \nL 109.870073 180.379552 \nL 106.90405 179.552415 \nL 103.808773 178.476177 \nL 100.590487 177.135648 \nL 97.258048 175.515957 \nL 93.823346 173.603042 \nL 90.301746 171.384297 \nL 86.712538 168.84934 \nL 83.079381 165.99089 \nL 79.43065 162.805822 \nL 75.799763 159.29625 \nL 72.225337 155.470748 \nL 68.751184 151.345525 \nL 65.426037 146.945522 \nL 62.303065 142.305344 \nL 59.438974 137.469833 \nL 56.892716 132.494224 \nL 54.723898 127.443681 \nL 52.990656 122.392126 \nL 51.747359 117.420372 \nL 51.04196 112.613413 \nL 50.913358 108.057165 \nL 51.388799 103.834663 \nL 52.48174 100.022181 \nL 54.190143 96.685451 \nL 56.495642 93.876518 \nL 59.363574 91.631444 \nL 62.744008 89.969094 \nL 66.573683 88.891169 \nL 70.77876 88.383357 \nL 75.278113 88.417487 \nL 79.986921 88.954326 \nL 84.820275 89.946749 \nL 89.696485 91.342863 \nL 94.539867 93.088937 \nL 99.282918 95.131805 \nL 103.867785 97.420802 \nL 108.246997 99.909047 \nL 112.3836 102.554211 \nL 116.250748 105.318899 \nL 119.830882 108.170605 \nL 123.114681 111.081499 \nL 126.099821 114.028025 \nL 128.789707 116.990413 \nL 131.192216 119.952233 \nL 133.318554 122.899863 \nL 135.182219 125.822067 \nL 136.798102 128.709589 \nL 138.181757 131.554797 \nL 139.348791 134.351408 \nL 140.314407 137.094204 \nL 141.093057 139.778838 \nL 141.698193 142.401657 \nL 142.142107 144.959542 \nL 142.435847 147.449787 \nL 142.589175 149.869994 \nL 142.610562 152.217964 \nL 142.507234 154.491628 \nL 142.285217 156.688986 \nL 141.949406 158.808015 \nL 141.503642 160.846638 \nL 140.950785 162.802649 \nL 140.292798 164.673664 \nL 139.530832 166.457063 \nL 138.665291 168.149957 \nL 137.695913 169.749112 \nL 136.621845 171.250911 \nL 135.441714 172.651308 \nL 134.153699 173.945753 \nL 132.755602 175.129147 \nL 131.244933 176.195808 \nL 129.618977 177.13938 \nL 127.874902 177.952808 \nL 126.009849 178.628283 \nL 124.021044 179.157207 \nL 121.905935 179.530147 \nL 119.662322 179.736835 \nL 117.288553 179.766161 \nL 114.783685 179.6062 \nL 112.14773 179.244279 \nL 109.381892 178.667072 \nL 106.488859 177.860755 \nL 103.473114 176.811244 \nL 100.341284 175.504478 \nL 97.102512 173.92681 \nL 93.768851 172.065504 \nL 90.355671 169.909333 \nL 86.882076 167.449302 \nL 83.371265 164.679496 \nL 79.850887 161.598005 \nL 76.353269 158.207981 \nL 72.915535 154.518708 \nL 69.579587 150.546656 \nL 66.391796 146.316468 \nL 63.4025 141.861745 \nL 60.665126 137.225536 \nL 58.235006 132.460401 \nL 56.167833 127.62791 \nL 54.517754 122.79758 \nL 53.335191 118.045073 \nL 52.664489 113.449776 \nL 52.541461 109.091749 \nL 52.99111 105.048387 \nL 54.025668 101.390862 \nL 55.643087 98.180767 \nL 57.826292 95.467236 \nL 60.543204 93.284859 \nL 63.747687 91.652547 \nL 67.381228 90.573473 \nL 71.37546 90.036051 \nL 75.655086 90.01576 \nL 80.141136 90.477612 \nL 84.754234 91.378955 \nL 89.417625 92.672311 \nL 94.059781 94.307994 \nL 98.61644 96.236427 \nL 103.032025 98.409884 \nL 107.26041 100.783816 \nL 111.26514 103.317655 \nL 115.019142 105.975171 \nL 118.50405 108.72464 \nL 121.709289 111.538615 \nL 124.630977 114.393662 \nL 127.270786 117.269936 \nL 129.63478 120.150746 \nL 131.732372 123.022145 \nL 133.575328 125.872534 \nL 135.176929 128.69224 \nL 136.551265 131.473219 \nL 137.712633 134.208758 \nL 138.6751 136.893255 \nL 139.45213 139.521974 \nL 140.056352 142.0909 \nL 140.499375 144.596563 \nL 140.791684 147.035912 \nL 140.942591 149.406234 \nL 140.960224 151.705017 \nL 140.851545 153.929907 \nL 140.622391 156.078599 \nL 140.277533 158.148793 \nL 139.820738 160.138129 \nL 139.254847 162.044125 \nL 138.581843 163.864114 \nL 137.80293 165.595207 \nL 136.918609 167.234239 \nL 135.928749 168.777693 \nL 134.832662 170.221684 \nL 133.629178 171.561882 \nL 132.31672 172.793468 \nL 130.89338 173.911094 \nL 129.357003 174.908796 \nL 127.705274 175.780002 \nL 125.935817 176.517438 \nL 124.046307 177.11312 \nL 122.034578 177.558312 \nL 119.898769 177.843514 \nL 117.637488 177.958471 \nL 115.249979 177.89218 \nL 112.736317 177.632963 \nL 110.097661 177.168529 \nL 107.33649 176.486143 \nL 104.456896 175.5728 \nL 101.464883 174.415481 \nL 98.368727 173.001513 \nL 95.179323 171.31898 \nL 91.91054 169.357252 \nL 88.579614 167.107619 \nL 85.207479 164.564025 \nL 81.819085 161.723905 \nL 78.443639 158.589089 \nL 75.114732 155.166773 \nL 71.870339 151.470467 \nL 68.752651 147.52092 \nL 65.807608 143.346877 \nL 63.084247 138.985579 \nL 60.633712 134.482986 \nL 58.507935 129.89349 \nL 56.758026 125.279143 \nL 55.432393 120.708259 \nL 54.574647 116.253482 \nL 54.221418 111.989218 \nL 54.400232 107.988783 \nL 55.127583 104.321204 \nL 56.407404 101.048167 \nL 58.230105 98.221181 \nL 60.572268 95.879356 \nL 63.397076 94.047965 \nL 66.6556 92.737874 \nL 70.288676 91.94597 \nL 74.229355 91.656348 \nL 78.405753 91.842278 \nL 82.744001 92.468481 \nL 87.171091 93.4937 \nL 91.617474 94.873186 \nL 96.019191 96.5609 \nL 100.319489 98.511432 \nL 104.469868 100.68141 \nL 108.430572 103.030545 \nL 112.17063 105.522223 \nL 115.667457 108.123786 \nL 118.906153 110.806574 \nL 121.878641 113.545744 \nL 124.582639 116.319965 \nL 127.02064 119.111104 \nL 129.198889 121.903807 \nL 131.126442 124.685139 \nL 132.814317 127.444233 \nL 134.274759 130.171955 \nL 135.520623 132.860644 \nL 136.564868 135.503823 \nL 137.420175 138.09599 \nL 138.098638 140.632442 \nL 138.61155 143.109116 \nL 138.969257 145.52245 \nL 139.181077 147.86924 \nL 139.255252 150.146582 \nL 139.198941 152.351749 \nL 139.018247 154.482111 \nL 138.71825 156.535094 \nL 138.303065 158.508078 \nL 137.775895 160.398365 \nL 137.139113 162.203097 \nL 136.394315 163.919225 \nL 135.542409 165.543437 \nL 134.583675 167.072117 \nL 133.517848 168.501296 \nL 132.344186 169.82659 \nL 131.061548 171.043165 \nL 129.668479 172.145679 \nL 128.163289 173.12824 \nL 126.544145 173.984358 \nL 124.809175 174.70692 \nL 122.956567 175.288158 \nL 120.984697 175.719604 \nL 118.892267 175.992123 \nL 116.678469 176.095885 \nL 114.343138 176.020422 \nL 111.886969 175.754684 \nL 109.311736 175.287147 \nL 106.620517 174.60594 \nL 103.817992 173.699072 \nL 100.910719 172.554658 \nL 97.90745 171.161287 \nL 94.819466 169.508431 \nL 91.660895 167.586941 \nL 88.449068 165.389668 \nL 85.204785 162.91212 \nL 81.952611 160.153271 \nL 78.72102 157.116355 \nL 75.542523 153.809763 \nL 72.453595 150.247869 \nL 69.494423 146.451816 \nL 66.708501 142.450147 \nL 64.141909 138.279208 \nL 61.842382 133.983219 \nL 59.858058 129.613951 \nL 58.235948 125.229917 \nL 57.020248 120.895047 \nL 56.250402 116.676867 \nL 55.959175 112.644187 \nL 56.170743 108.864486 \nL 56.899036 105.40109 \nL 58.146419 102.310442 \nL 59.902869 99.639654 \nL 62.145795 97.424572 \nL 64.840488 95.688476 \nL 67.941264 94.441648 \nL 71.393209 93.68173 \nL 75.134379 93.394758 \nL 79.098337 93.556857 \nL 83.216777 94.136302 \nL 87.422104 95.095713 \nL 91.649744 96.39428 \nL 95.84008 97.989764 \nL 99.939926 99.84019 \nL 103.903523 101.905204 \nL 107.693013 104.147013 \nL 111.278514 106.530999 \nL 114.637828 109.026048 \nL 117.755848 111.604607 \nL 120.623792 114.242568 \nL 123.238325 116.919072 \nL 125.600629 119.61622 \nL 127.715485 122.318701 \nL 129.590423 125.01352 \nL 131.234929 127.689641 \nL 132.65977 130.337701 \nL 133.876413 132.949762 \nL 134.896545 135.519041 \nL 135.731696 138.039738 \nL 136.392938 140.506841 \nL 136.890684 142.915968 \nL 137.234526 145.263226 \nL 137.433144 147.545119 \nL 137.494259 149.758431 \nL 137.424607 151.900135 \nL 137.22996 153.96731 \nL 136.915149 155.957075 \nL 136.484115 157.866534 \nL 135.939955 159.692692 \nL 135.284991 161.432413 \nL 134.520837 163.082364 \nL 133.648458 164.63896 \nL 132.668255 166.098307 \nL 131.580127 167.456161 \nL 130.383553 168.707885 \nL 129.077669 169.848391 \nL 127.661351 170.872109 \nL 126.133307 171.772946 \nL 124.492167 172.544236 \nL 122.73659 173.178723 \nL 120.865388 173.668559 \nL 118.877642 174.005269 \nL 116.772863 174.179782 \nL 114.551138 174.182456 \nL 112.213317 174.003124 \nL 109.761216 173.631203 \nL 107.197843 173.055812 \nL 104.527639 172.265955 \nL 101.756732 171.25075 \nL 98.89324 169.999723 \nL 95.947546 168.503181 \nL 92.932603 166.752655 \nL 89.864242 164.741427 \nL 86.761429 162.465126 \nL 83.646494 159.922422 \nL 80.545333 157.115727 \nL 77.487471 154.051983 \nL 74.506056 150.743421 \nL 71.637646 147.208263 \nL 68.921898 143.47129 \nL 66.400956 139.56428 \nL 64.118666 135.526129 \nL 62.119525 131.402676 \nL 60.447401 127.246088 \nL 59.144011 123.113838 \nL 58.247297 119.067227 \nL 57.789675 115.169458 \nL 57.796332 111.483412 \nL 58.283623 108.069181 \nL 59.257831 104.98166 \nL 60.714221 102.26819 \nL 62.636659 99.966656 \nL 64.997816 98.104108 \nL 67.759901 96.695995 \nL 70.875994 95.746131 \nL 74.291835 95.24736 \nL 77.947968 95.182747 \nL 81.78206 95.527205 \nL 85.731212 96.249392 \nL 89.734179 97.313723 \nL 93.733264 98.682158 \nL 97.675875 100.315941 \nL 101.515647 102.176957 \nL 105.213135 104.228806 \nL 108.736097 106.437513 \nL 112.059429 108.772027 \nL 115.164791 111.204426 \nL 118.040038 113.709927 \nL 120.678479 116.266785 \nL 123.078093 118.856102 \nL 125.240696 121.461527 \nL 127.171136 124.06902 \nL 128.876553 126.666552 \nL 130.365707 129.243808 \nL 131.648386 131.791961 \nL 132.734905 134.303439 \nL 133.635716 136.7717 \nL 134.361071 139.191072 \nL 134.920784 141.556567 \nL 135.324044 143.863771 \nL 135.579291 146.108699 \nL 135.694139 148.287705 \nL 135.675335 150.397385 \nL 135.528744 152.434484 \nL 135.25937 154.39582 \nL 134.871381 156.27823 \nL 134.368144 158.078495 \nL 133.752298 159.793289 \nL 133.025791 161.419102 \nL 132.189956 162.952227 \nL 131.245579 164.38867 \nL 130.192966 165.724125 \nL 129.032016 166.953926 \nL 127.762316 168.073007 \nL 126.383197 169.075844 \nL 124.893845 169.956452 \nL 123.29339 170.708324 \nL 121.581012 171.324435 \nL 119.756059 171.797214 \nL 117.81817 172.118545 \nL 115.767415 172.279809 \nL 113.604463 172.271901 \nL 111.330751 172.085297 \nL 108.948672 171.710165 \nL 106.461798 171.136475 \nL 103.8751 170.354212 \nL 101.1952 169.353582 \nL 98.430619 168.125321 \nL 95.592053 166.661031 \nL 92.692636 164.953624 \nL 89.748199 162.997805 \nL 86.777497 160.790631 \nL 83.802408 158.332118 \nL 80.848048 155.625928 \nL 77.942823 152.680022 \nL 75.118375 149.507322 \nL 72.409354 146.126316 \nL 69.853029 142.561518 \nL 67.488752 138.843794 \nL 65.357156 135.010393 \nL 63.4992 131.104716 \nL 61.954957 127.175698 \nL 60.762233 123.276826 \nL 59.955106 119.464742 \nL 59.562397 115.797531 \nL 59.606114 112.332725 \nL 60.100143 109.125113 \nL 61.049129 106.22461 \nL 62.447718 103.67425 \nL 64.280289 101.508547 \nL 66.521108 99.752236 \nL 69.135106 98.419677 \nL 72.07902 97.51484 \nL 75.302998 97.031793 \nL 78.752505 96.955778 \nL 82.370374 97.264619 \nL 86.098851 97.930378 \nL 89.88155 98.921038 \nL 93.665168 100.202164 \nL 97.400868 101.7384 \nL 101.045321 103.494711 \nL 104.561364 105.43735 \nL 107.918274 107.534609 \nL 111.091773 109.757247 \nL 114.063743 112.078734 \nL 116.821725 114.475317 \nL 119.358322 116.925969 \nL 121.670484 119.412252 \nL 123.758799 121.918091 \nL 125.626759 124.429524 \nL 127.280091 126.934474 \nL 128.726142 129.422519 \nL 129.973341 131.88465 \nL 131.030733 134.313056 \nL 131.907599 136.700934 \nL 132.613137 139.042329 \nL 133.15623 141.33197 \nL 133.545261 143.565144 \nL 133.787984 145.737575 \nL 133.891437 147.845332 \nL 133.861905 149.884714 \nL 133.704888 151.852181 \nL 133.425112 153.744284 \nL 133.02655 155.557591 \nL 132.512463 157.288615 \nL 131.885435 158.933777 \nL 131.147437 160.48933 \nL 130.299881 161.951321 \nL 129.343696 163.31555 \nL 128.279388 164.577512 \nL 127.10712 165.732355 \nL 125.82678 166.774855 \nL 124.438091 167.69937 \nL 122.940679 168.499817 \nL 121.334172 169.169667 \nL 119.618337 169.701901 \nL 117.793169 170.089049 \nL 115.859028 170.323185 \nL 113.816798 170.395951 \nL 111.66804 170.298649 \nL 109.415157 170.022298 \nL 107.061594 169.557764 \nL 104.612041 168.895922 \nL 102.072651 168.027835 \nL 99.45128 166.945045 \nL 96.757716 165.63985 \nL 94.003912 164.105683 \nL 91.204221 162.337541 \nL 88.375606 160.332473 \nL 85.537814 158.090096 \nL 82.713506 155.613192 \nL 79.928288 152.908297 \nL 77.210689 149.986269 \nL 74.592 146.86284 \nL 72.105965 143.55906 \nL 69.788315 140.10161 \nL 67.676156 136.522912 \nL 65.807108 132.860981 \nL 64.218321 129.159011 \nL 62.945332 125.464598 \nL 62.020754 121.828681 \nL 61.472916 118.30409 \nL 61.324538 114.943912 \nL 61.591474 111.799625 \nL 62.281625 108.919198 \nL 63.394155 106.345253 \nL 64.919041 104.113466 \nL 66.837068 102.251286 \nL 69.120231 100.777149 \nL 71.732588 99.700129 \nL 74.631516 99.020179 \nL 77.769235 98.728733 \nL 81.094568 98.809821 \nL 84.554742 99.241358 \nL 88.097195 99.996602 \nL 91.671213 101.045623 \nL 95.22932 102.356726 \nL 98.728416 103.897697 \nL 102.130551 105.636782 \nL 105.403397 107.543529 \nL 108.520433 109.589324 \nL 111.460849 111.747794 \nL 114.209234 113.994922 \nL 116.755125 116.30916 \nL 119.092451 118.671337 \nL 121.218891 121.064548 \nL 123.135247 123.473943 \nL 124.84482 125.886541 \nL 126.352818 128.291032 \nL 127.665829 130.677546 \nL 128.791348 133.037485 \nL 129.737386 135.363302 \nL 130.512141 137.648369 \nL 131.123725 139.886792 \nL 131.579953 142.073299 \nL 131.888202 144.203125 \nL 132.055284 146.271878 \nL 132.087385 148.275475 \nL 131.990019 150.210038 \nL 131.768017 152.071812 \nL 131.425531 153.857103 \nL 130.966053 155.562219 \nL 130.392457 157.183412 \nL 129.70704 158.716797 \nL 128.911573 160.158344 \nL 128.007369 161.503799 \nL 126.995336 162.748657 \nL 125.876061 163.888106 \nL 124.64988 164.917019 \nL 123.316966 165.829903 \nL 121.877401 166.620878 \nL 120.331302 167.283671 \nL 118.678901 167.811599 \nL 116.92067 168.197589 \nL 115.057453 168.434185 \nL 113.090588 168.513595 \nL 111.022077 168.427748 \nL 108.854737 168.168394 \nL 106.592373 167.727193 \nL 104.239997 167.095902 \nL 101.803987 166.266543 \nL 99.292328 165.231669 \nL 96.714802 163.984627 \nL 94.083217 162.519915 \nL 91.411587 160.833573 \nL 88.716323 158.923608 \nL 86.016369 156.79048 \nL 83.333286 154.437628 \nL 80.691302 151.871966 \nL 78.117215 149.104397 \nL 75.640246 146.15027 \nL 73.291752 143.029745 \nL 71.104765 139.768041 \nL 69.113422 136.395503 \nL 67.352177 132.947432 \nL 65.854945 129.463699 \nL 64.654027 125.988027 \nL 63.778985 122.567052 \nL 63.255438 119.24905 \nL 63.103918 116.082464 \nL 63.338717 113.114299 \nL 63.966994 110.388477 \nL 64.988086 107.944231 \nL 66.393076 105.814681 \nL 68.16482 104.025696 \nL 70.27827 102.595192 \nL 72.701209 101.532761 \nL 75.395309 100.8398 \nL 78.317457 100.510055 \nL 81.421283 100.530423 \nL 84.658739 100.882099 \nL 87.981692 101.541804 \nL 91.343381 102.483085 \nL 94.699709 103.67753 \nL 98.010254 105.095896 \nL 101.239051 106.709067 \nL 104.355063 108.48878 \nL 107.332405 110.408216 \nL 110.150329 112.44238 \nL 112.793018 114.568297 \nL 115.249216 116.765157 \nL 117.511754 119.014247 \nL 119.57703 121.298892 \nL 121.444449 123.604333 \nL 123.115868 125.91753 \nL 124.595064 128.227048 \nL 125.887247 130.522788 \nL 126.99863 132.795893 \nL 127.936052 135.038538 \nL 128.706655 137.243781 \nL 129.317624 139.405431 \nL 129.775985 141.517908 \nL 130.088445 143.576133 \nL 130.261271 145.575438 \nL 130.300213 147.511449 \nL 130.210457 149.38002 \nL 129.996596 151.177143 \nL 129.66263 152.898902 \nL 129.211986 154.541383 \nL 128.647533 156.10063 \nL 127.971634 157.572597 \nL 127.186191 158.953087 \nL 126.292695 160.23773 \nL 125.292299 161.421915 \nL 124.185874 162.500781 \nL 122.97409 163.469166 \nL 121.657506 164.32159 \nL 120.236651 165.052252 \nL 118.712114 165.654999 \nL 117.084662 166.123349 \nL 115.355343 166.450496 \nL 113.525612 166.629346 \nL 111.597483 166.652549 \nL 109.573643 166.512611 \nL 107.457644 166.201946 \nL 105.254047 165.713037 \nL 102.968609 165.038589 \nL 100.608464 164.171729 \nL 98.182318 163.106249 \nL 95.700624 161.836885 \nL 93.175771 160.359668 \nL 90.622251 158.672276 \nL 88.056771 156.774442 \nL 85.498374 154.668416 \nL 82.968464 152.359381 \nL 80.490786 149.855933 \nL 78.091317 147.17047 \nL 75.798052 144.319576 \nL 73.64064 141.324254 \nL 71.649937 138.210066 \nL 69.85744 135.00709 \nL 68.294493 131.749677 \nL 66.991452 128.475966 \nL 65.976739 125.227158 \nL 65.275786 122.04655 \nL 64.910009 118.978339 \nL 64.895798 116.066342 \nL 65.243591 113.35252 \nL 65.957161 110.875539 \nL 67.033109 108.669453 \nL 68.460633 106.762537 \nL 70.221634 105.176386 \nL 72.291134 103.925421 \nL 74.63801 103.01666 \nL 77.226006 102.449936 \nL 80.014948 102.218382 \nL 82.962104 102.309262 \nL 86.023568 102.704923 \nL 89.155637 103.383892 \nL 92.316064 104.321986 \nL 95.465132 105.49335 \nL 98.566508 106.871426 \nL 101.587904 108.429776 \nL 104.501439 110.142685 \nL 107.283823 111.985693 \nL 109.916327 113.935903 \nL 112.384584 115.972181 \nL 114.678263 118.075233 \nL 116.790665 120.227649 \nL 118.71826 122.413781 \nL 120.460201 124.619683 \nL 122.017835 126.832957 \nL 123.394239 129.042614 \nL 124.593802 131.238891 \nL 125.621836 133.413146 \nL 126.484243 135.557661 \nL 127.187239 137.665541 \nL 127.737108 139.730578 \nL 128.140031 141.747133 \nL 128.401938 143.710032 \nL 128.52839 145.614465 \nL 128.524523 147.455902 \nL 128.394989 149.230029 \nL 128.143936 150.932662 \nL 127.775008 152.559686 \nL 127.291358 154.106994 \nL 126.695677 155.570441 \nL 125.990214 156.945789 \nL 125.176848 158.228678 \nL 124.257129 159.414555 \nL 123.232342 160.498671 \nL 122.10357 161.476045 \nL 120.871778 162.341434 \nL 119.537893 163.089322 \nL 118.102896 163.713908 \nL 116.567913 164.209123 \nL 114.934321 164.568623 \nL 113.203885 164.785848 \nL 111.378844 164.854047 \nL 109.462075 164.766346 \nL 107.457231 164.515857 \nL 105.36888 164.095775 \nL 103.202681 163.499534 \nL 100.96554 162.720995 \nL 98.665779 161.75464 \nL 96.313299 160.595858 \nL 93.919737 159.241215 \nL 91.498614 157.688781 \nL 89.065432 155.9385 \nL 86.637785 153.992558 \nL 84.235366 151.85579 \nL 81.879958 149.53605 \nL 79.595323 147.044594 \nL 77.407009 144.396373 \nL 75.342083 141.610275 \nL 73.428677 138.709236 \nL 71.695517 135.72022 \nL 70.17127 132.674016 \nL 68.883802 129.604848 \nL 67.859347 126.549786 \nL 67.121591 123.547935 \nL 66.690797 120.639432 \nL 66.582889 117.864338 \nL 66.808633 115.261381 \nL 67.372988 112.866729 \nL 68.274579 110.712766 \nL 69.50548 108.827061 \nL 71.051177 107.2315 \nL 72.890895 105.941746 \nL 74.99813 104.966916 \nL 77.341468 104.309648 \nL 79.885584 103.966432 \nL 82.592399 103.92821 \nL 85.422277 104.181128 \nL 88.335247 104.707424 \nL 91.292144 105.486438 \nL 94.255606 106.495505 \nL 97.190947 107.710838 \nL 100.066783 109.108301 \nL 102.855504 110.664061 \nL 105.533512 112.35507 \nL 108.081277 114.159457 \nL 110.483254 116.056763 \nL 112.727675 118.028107 \nL 114.806219 120.056217 \nL 116.713648 122.125415 \nL 118.447384 124.221586 \nL 120.00709 126.332071 \nL 121.394243 128.445529 \nL 122.611765 130.551815 \nL 123.66363 132.641886 \nL 124.554566 134.707621 \nL 125.289773 136.741715 \nL 125.874682 138.737573 \nL 126.314769 140.689185 \nL 126.615389 142.591028 \nL 126.781674 144.437982 \nL 126.818442 146.225227 \nL 126.730141 147.948197 \nL 126.520796 149.602478 \nL 126.194023 151.183756 \nL 125.753016 152.687777 \nL 125.200558 154.110274 \nL 124.539074 155.446917 \nL 123.770636 156.693293 \nL 122.897049 157.844856 \nL 121.919879 158.896888 \nL 120.840527 159.844491 \nL 119.660303 160.682548 \nL 118.380499 161.405731 \nL 117.002477 162.008486 \nL 115.52775 162.485042 \nL 113.958111 162.829431 \nL 112.295706 163.035514 \nL 110.543178 163.097046 \nL 108.703781 163.007744 \nL 106.781517 162.761355 \nL 104.781265 162.351794 \nL 102.708942 161.773276 \nL 100.571631 161.020499 \nL 98.377748 160.088835 \nL 96.137167 158.974566 \nL 93.861372 157.675164 \nL 91.563555 156.189579 \nL 89.258714 154.518555 \nL 86.96372 152.664973 \nL 84.697312 150.634188 \nL 82.480051 148.434371 \nL 80.334214 146.076784 \nL 78.283598 143.576056 \nL 76.353246 140.950356 \nL 74.569024 138.221453 \nL 72.957181 135.414658 \nL 71.543752 132.558623 \nL 70.353891 129.68497 \nL 69.411132 126.827731 \nL 68.7366 124.02263 \nL 68.34822 121.306187 \nL 68.259925 118.714739 \nL 68.48099 116.283367 \nL 69.015454 114.044806 \nL 69.861689 112.028436 \nL 71.012209 110.259328 \nL 72.453677 108.75756 \nL 74.167201 107.537674 \nL 76.12877 106.608469 \nL 78.309985 105.972994 \nL 80.678947 105.628782 \nL 83.201215 105.568384 \nL 85.840884 105.779999 \nL 88.56162 106.248211 \nL 91.327679 106.954843 \nL 94.104808 107.879757 \nL 96.860985 109.001604 \nL 99.567044 110.298515 \nL 102.197075 111.748729 \nL 104.728685 113.331002 \nL 107.143092 115.025 \nL 109.425073 116.811533 \nL 111.562809 118.672747 \nL 113.547628 120.592153 \nL 115.373698 122.554685 \nL 117.037669 124.546642 \nL 118.538305 126.555625 \nL 119.87613 128.570448 \nL 121.053078 130.581056 \nL 122.072144 132.578377 \nL 122.937123 134.554235 \nL 123.652334 136.501219 \nL 124.222403 138.412594 \nL 124.652085 140.282191 \nL 124.946105 142.104318 \nL 125.109061 143.873686 \nL 125.145323 145.585308 \nL 125.058972 147.234439 \nL 124.853771 148.816522 \nL 124.533132 150.327095 \nL 124.100133 151.761768 \nL 123.557515 153.116165 \nL 122.907711 154.385882 \nL 122.152891 155.566434 \nL 121.294989 156.653247 \nL 120.335766 157.641609 \nL 119.276876 158.526661 \nL 118.119919 159.303384 \nL 116.866524 159.966583 \nL 115.518439 160.510901 \nL 114.077605 160.930822 \nL 112.546265 161.220697 \nL 110.92706 161.374811 \nL 109.223138 161.387394 \nL 107.438282 161.252736 \nL 105.577032 160.965258 \nL 103.644787 160.519644 \nL 101.64798 159.910989 \nL 99.594175 159.13494 \nL 97.492207 158.187942 \nL 95.352295 157.067413 \nL 93.186159 155.772034 \nL 91.007104 154.302005 \nL 88.830068 152.659325 \nL 86.671661 150.848095 \nL 84.550127 148.87482 \nL 82.485277 146.748665 \nL 80.498346 144.48169 \nL 78.611757 142.089054 \nL 76.848847 139.589077 \nL 75.233453 137.003285 \nL 73.789471 134.356267 \nL 72.540285 131.675425 \nL 71.508147 128.990568 \nL 70.713545 126.333374 \nL 70.174471 123.7367 \nL 69.905732 121.233743 \nL 69.918314 118.857206 \nL 70.21884 116.638292 \nL 70.80908 114.60583 \nL 71.685693 112.785381 \nL 72.840101 111.198525 \nL 74.258581 109.862242 \nL 75.922569 108.788563 \nL 77.809123 107.9844 \nL 79.891595 107.451606 \nL 82.140416 107.187255 \nL 84.523974 107.184067 \nL 87.009532 107.430978 \nL 89.564147 107.913825 \nL 92.155524 108.616028 \nL 94.752784 109.519302 \nL 97.327104 110.604307 \nL 99.852213 111.851211 \nL 102.304756 113.240229 \nL 104.664494 114.752036 \nL 106.914374 116.368026 \nL 109.0405 118.070575 \nL 111.031976 119.843192 \nL 112.880697 121.670567 \nL 114.581069 123.538633 \nL 116.129728 125.434498 \nL 117.525209 127.346425 \nL 118.767622 129.263762 \nL 119.858363 131.176838 \nL 120.799813 133.07688 \nL 121.595102 134.95591 \nL 122.247868 136.806665 \nL 122.762069 138.622485 \nL 123.141812 140.397233 \nL 123.39123 142.125214 \nL 123.514368 143.801089 \nL 123.515107 145.419822 \nL 123.39712 146.976594 \nL 123.163822 148.466761 \nL 122.818356 149.885779 \nL 122.363603 151.229173 \nL 121.802176 152.492499 \nL 121.136461 153.671281 \nL 120.368641 154.760998 \nL 119.50074 155.757053 \nL 118.534673 156.654741 \nL 117.472309 157.44925 \nL 116.315538 158.135644 \nL 115.06634 158.708874 \nL 113.726873 159.163783 \nL 112.299541 159.495122 \nL 110.787115 159.697603 \nL 109.192811 159.765933 \nL 107.520397 159.694883 \nL 105.774317 159.479383 \nL 103.959793 159.114611 \nL 102.082946 158.596139 \nL 100.150906 157.920059 \nL 98.17193 157.083175 \nL 96.155499 156.083197 \nL 94.112431 154.918936 \nL 92.054937 153.590561 \nL 89.99668 152.099842 \nL 87.952798 150.450412 \nL 85.939887 148.648002 \nL 83.975938 146.700696 \nL 82.080206 144.61913 \nL 80.273032 142.416661 \nL 78.575593 140.109449 \nL 77.009585 137.716499 \nL 75.596797 135.259564 \nL 74.358679 132.762951 \nL 73.315787 130.253212 \nL 72.487221 127.758668 \nL 71.890021 125.308905 \nL 71.538561 122.934054 \nL 71.443992 120.66403 \nL 71.613693 118.527767 \nL 72.050864 116.552408 \nL 72.754238 114.762472 \nL 73.717901 113.179233 \nL 74.93132 111.820131 \nL 76.379516 110.698344 \nL 78.04341 109.82258 \nL 79.900354 109.197005 \nL 81.92474 108.821421 \nL 84.088752 108.691537 \nL 86.363144 108.799398 \nL 88.71804 109.133925 \nL 91.123712 109.681508 \nL 93.551295 110.426591 \nL 95.973402 111.352271 \nL 98.364653 112.440847 \nL 100.702038 113.674295 \nL 102.965204 115.034716 \nL 105.136578 116.504592 \nL 107.201399 118.067126 \nL 109.147674 119.70638 \nL 110.966022 121.407366 \nL 112.649465 123.156152 \nL 114.193201 124.93985 \nL 115.594339 126.746643 \nL 116.851615 128.565666 \nL 117.965122 130.387004 \nL 118.93606 132.201613 \nL 119.766482 134.001211 \nL 120.459084 135.778219 \nL 121.017007 137.52568 \nL 121.443675 139.237156 \nL 121.742653 140.906686 \nL 121.917545 142.528683 \nL 121.971895 144.097884 \nL 121.90913 145.609277 \nL 121.732509 147.058057 \nL 121.4451 148.439558 \nL 121.049772 149.749221 \nL 120.54919 150.982539 \nL 119.945826 152.135022 \nL 119.242004 153.20218 \nL 118.439918 154.179477 \nL 117.541679 155.06233 \nL 116.549366 155.846079 \nL 115.46509 156.525991 \nL 114.291064 157.097259 \nL 113.029662 157.555027 \nL 111.683503 157.894381 \nL 110.255542 158.110418 \nL 108.749157 158.198264 \nL 107.168239 158.153161 \nL 105.517299 157.970526 \nL 103.801557 157.646061 \nL 102.02706 157.175864 \nL 100.200774 156.55655 \nL 98.33069 155.785436 \nL 96.425897 154.860676 \nL 94.496685 153.781495 \nL 92.554582 152.54836 \nL 90.612422 151.163212 \nL 88.684339 149.629697 \nL 86.785744 147.953362 \nL 84.933264 146.141872 \nL 83.144637 144.205179 \nL 81.438532 142.155651 \nL 79.834324 140.00817 \nL 78.351805 137.780123 \nL 77.010819 135.491325 \nL 75.830898 133.16386 \nL 74.830734 130.821806 \nL 74.027739 128.490816 \nL 73.437476 126.197696 \nL 73.073155 123.969756 \nL 72.945134 121.834214 \nL 73.060456 119.817506 \nL 73.422485 117.944537 \nL 74.030614 116.238065 \nL 74.880131 114.718028 \nL 75.962201 113.401102 \nL 77.263997 112.300235 \nL 78.76898 111.424486 \nL 80.457323 110.77888 \nL 82.306433 110.364523 \nL 84.291578 110.178807 \nL 86.386534 110.215742 \nL 88.56432 110.466377 \nL 90.797853 110.919293 \nL 93.0606 111.561128 \nL 95.327142 112.377062 \nL 97.573653 113.351355 \nL 99.778297 114.467731 \nL 101.92148 115.709823 \nL 103.986022 117.061462 \nL 105.957241 118.50694 \nL 107.822914 120.031175 \nL 109.573201 121.619901 \nL 111.200496 123.259692 \nL 112.699229 124.938057 \nL 114.065646 126.64338 \nL 115.297589 128.364963 \nL 116.394243 130.092937 \nL 117.35591 131.818244 \nL 118.879813 135.228207 \nL 119.886262 138.535697 \nL 120.398181 141.689937 \nL 120.476496 143.195476 \nL 120.440543 144.646371 \nL 120.293352 146.037711 \nL 120.037823 147.364753 \nL 119.676726 148.622875 \nL 119.212679 149.80755 \nL 118.648174 150.914279 \nL 117.985584 151.938594 \nL 117.227209 152.876029 \nL 116.375294 153.722093 \nL 115.432093 154.472272 \nL 114.399909 155.122007 \nL 113.281158 155.666717 \nL 112.078441 156.101794 \nL 110.79461 156.422658 \nL 109.432843 156.624764 \nL 107.996741 156.703645 \nL 106.490384 156.655002 \nL 104.918457 156.47475 \nL 103.286309 156.159127 \nL 101.600061 155.704801 \nL 99.866692 155.108981 \nL 98.094121 154.369575 \nL 96.291271 153.485351 \nL 94.468157 152.456085 \nL 92.635912 151.282759 \nL 90.806815 149.967771 \nL 88.994299 148.515083 \nL 87.212906 146.930441 \nL 85.478227 145.221517 \nL 83.806778 143.398065 \nL 82.215839 141.472015 \nL 80.723228 139.457538 \nL 79.347045 137.371006 \nL 78.105343 135.230928 \nL 77.015766 133.057769 \nL 76.095121 130.873698 \nL 75.358948 128.702217 \nL 74.821073 126.567748 \nL 74.493113 124.495117 \nL 74.384099 122.508984 \nL 74.50005 120.633256 \nL 74.843688 118.890447 \nL 75.414176 117.301139 \nL 76.207033 115.883431 \nL 77.214099 114.652496 \nL 78.423677 113.620242 \nL 79.820799 112.795128 \nL 81.387546 112.182075 \nL 83.103533 111.782476 \nL 84.946433 111.594446 \nL 86.892569 111.613036 \nL 88.917508 111.830598 \nL 90.996669 112.237247 \nL 93.105877 112.821228 \nL 95.221859 113.569392 \nL 97.322681 114.467654 \nL 99.388108 115.501349 \nL 101.399836 116.655579 \nL 103.341677 117.91551 \nL 105.199622 119.266628 \nL 106.961862 120.694926 \nL 108.618715 122.186993 \nL 110.16251 123.730172 \nL 112.889409 126.923025 \nL 115.115126 130.187695 \nL 116.832701 133.450341 \nL 118.049414 136.647731 \nL 118.781379 139.725444 \nL 119.049229 142.635955 \nL 118.875122 145.336834 \nL 118.629196 146.596405 \nL 118.280878 147.789172 \nL 117.832702 148.910605 \nL 117.287128 149.956246 \nL 116.646548 150.921666 \nL 115.913319 151.80248 \nL 115.089793 152.594299 \nL 114.178361 153.292747 \nL 113.181502 153.893456 \nL 112.101836 154.392065 \nL 110.942191 154.784247 \nL 109.705656 155.065724 \nL 108.395666 155.232313 \nL 107.016072 155.279976 \nL 105.571212 155.20488 \nL 104.066002 155.003464 \nL 102.506011 154.672539 \nL 100.897531 154.209385 \nL 99.247662 153.611871 \nL 97.564377 152.878581 \nL 95.856585 152.008969 \nL 94.134174 151.003512 \nL 92.408038 149.863864 \nL 90.690102 148.593029 \nL 88.993274 147.195528 \nL 87.331428 145.677522 \nL 85.7193 144.046988 \nL 84.172368 142.31378 \nL 82.706697 140.48973 \nL 81.338702 138.588654 \nL 80.084918 136.626291 \nL 78.96168 134.620227 \nL 77.984783 132.589687 \nL 77.169125 130.555325 \nL 76.528301 128.538801 \nL 76.074217 126.562491 \nL 75.816686 124.64894 \nL 75.763076 122.820399 \nL 75.917983 121.098295 \nL 76.282991 119.502704 \nL 76.856494 118.051862 \nL 77.633626 116.761724 \nL 78.606257 115.645593 \nL 79.763167 114.713875 \nL 81.090267 113.973849 \nL 82.570919 113.429684 \nL 84.186359 113.082468 \nL 85.916167 112.930346 \nL 87.738774 112.968782 \nL 89.631998 113.190865 \nL 91.573536 113.587644 \nL 93.541472 114.148561 \nL 95.514698 114.861752 \nL 97.473299 115.714467 \nL 99.398833 116.693418 \nL 101.274569 117.785044 \nL 103.085642 118.97581 \nL 104.819104 120.252385 \nL 108.011074 123.011724 \nL 110.78456 125.966265 \nL 113.100138 129.029418 \nL 114.93992 132.125368 \nL 116.302042 135.188384 \nL 117.195521 138.161461 \nL 117.63594 140.994785 \nL 117.642202 143.644086 \nL 117.234303 146.069205 \nL 116.881289 147.185942 \nL 116.432164 148.232778 \nL 115.889336 149.205308 \nL 115.255205 150.099203 \nL 114.532166 150.910171 \nL 113.722671 151.633968 \nL 112.829239 152.266378 \nL 111.854525 152.803232 \nL 110.801355 153.240417 \nL 109.672781 153.573894 \nL 108.472159 153.799732 \nL 107.203197 153.914137 \nL 105.870033 153.913517 \nL 104.477293 153.794544 \nL 103.030175 153.554216 \nL 101.534503 153.189958 \nL 98.424386 152.082087 \nL 95.208631 150.462871 \nL 91.962556 148.338563 \nL 88.775701 145.734119 \nL 85.751034 142.697548 \nL 84.33476 141.039367 \nL 83.002282 139.303209 \nL 81.768687 137.502737 \nL 80.648975 135.65327 \nL 79.657803 133.77168 \nL 78.80913 131.876175 \nL 78.115911 129.986056 \nL 77.589746 128.121393 \nL 77.240532 126.302631 \nL 77.076127 124.550197 \nL 77.102048 122.884031 \nL 77.321262 121.323137 \nL 77.733956 119.885138 \nL 78.33743 118.585882 \nL 79.126079 117.439069 \nL 80.091453 116.455933 \nL 81.222402 115.645088 \nL 82.505325 115.012387 \nL 83.924469 114.560895 \nL 85.46231 114.290966 \nL 87.099993 114.200422 \nL 88.817748 114.284728 \nL 90.595376 114.537294 \nL 92.412676 114.949782 \nL 94.249868 115.512429 \nL 96.087939 116.214387 \nL 97.908987 117.043991 \nL 99.696444 117.989119 \nL 103.112098 120.176477 \nL 106.234704 122.678515 \nL 108.991097 125.402177 \nL 111.333288 128.262312 \nL 113.234706 131.18303 \nL 114.685607 134.097571 \nL 115.688407 136.947515 \nL 116.253559 139.681574 \nL 116.396297 142.25421 \nL 116.134239 144.624287 \nL 115.485942 146.753914 \nL 115.022838 147.717356 \nL 114.470263 148.607458 \nL 113.830614 149.420004 \nL 113.106359 150.15085 \nL 112.300042 150.795919 \nL 111.414327 151.351203 \nL 110.452043 151.812771 \nL 109.416233 152.176784 \nL 108.310204 152.439541 \nL 107.137581 152.597479 \nL 105.902367 152.647241 \nL 104.609009 152.585724 \nL 101.86819 152.118141 \nL 98.961737 151.177733 \nL 95.946964 149.756845 \nL 92.893204 147.860635 \nL 89.882365 145.510887 \nL 87.008269 142.74977 \nL 84.374444 139.64277 \nL 83.181655 137.986803 \nL 82.089954 136.280124 \nL 81.112818 134.537706 \nL 80.26318 132.775778 \nL 79.553154 131.011613 \nL 78.993723 129.263241 \nL 78.594443 127.549182 \nL 78.363153 125.888059 \nL 78.305678 124.298214 \nL 78.425656 122.797334 \nL 78.724291 121.402063 \nL 79.200262 120.127604 \nL 79.849659 118.987412 \nL 80.665998 117.992874 \nL 81.640317 117.15314 \nL 82.761367 116.474937 \nL 84.015826 115.962557 \nL 85.388622 115.617808 \nL 86.863267 115.440154 \nL 88.422245 115.426836 \nL 90.047404 115.573134 \nL 91.72036 115.87255 \nL 93.42285 116.317099 \nL 95.137102 116.897632 \nL 96.846122 117.604049 \nL 100.185917 119.351256 \nL 103.330329 121.469373 \nL 106.19069 123.868791 \nL 108.702181 126.464224 \nL 110.822079 129.177264 \nL 112.526438 131.937431 \nL 113.806107 134.682226 \nL 114.662771 137.356447 \nL 115.105424 139.911144 \nL 115.147599 142.302508 \nL 114.805381 144.49074 \nL 114.096217 146.43905 \nL 113.038397 148.112917 \nL 112.384723 148.836621 \nL 111.651221 149.479537 \nL 110.840562 150.037794 \nL 109.955569 150.50763 \nL 108.999273 150.885398 \nL 107.974958 151.167595 \nL 105.736886 151.432138 \nL 103.27439 151.27738 \nL 100.627721 150.684541 \nL 97.845948 149.642195 \nL 94.988317 148.1491 \nL 92.125069 146.217396 \nL 89.337402 143.875909 \nL 86.716228 141.173144 \nL 84.359429 138.179254 \nL 82.367324 134.986324 \nL 81.538543 133.349545 \nL 80.836432 131.706321 \nL 80.271211 130.072952 \nL 79.851865 128.466203 \nL 79.585889 126.903025 \nL 79.479052 125.400215 \nL 79.535183 123.974078 \nL 79.755998 122.640079 \nL 80.140967 121.4125 \nL 80.687274 120.3042 \nL 81.389793 119.32626 \nL 82.241149 118.487844 \nL 83.231867 117.796017 \nL 84.350548 117.255683 \nL 85.584109 116.86954 \nL 86.918082 116.638124 \nL 88.336929 116.559979 \nL 89.824384 116.631718 \nL 91.363796 116.848314 \nL 92.938464 117.203254 \nL 94.531958 117.688799 \nL 97.712737 119.016224 \nL 100.789879 120.75347 \nL 103.665249 122.818361 \nL 106.261579 125.128937 \nL 108.522644 127.60719 \nL 110.411468 130.181135 \nL 111.907384 132.785702 \nL 113.002566 135.362743 \nL 113.698665 137.860436 \nL 114.003888 140.23246 \nL 113.930665 142.437013 \nL 113.494041 144.435936 \nL 112.710751 146.193887 \nL 111.598914 147.677778 \nL 110.178217 148.856422 \nL 108.470582 149.700547 \nL 106.501179 150.183103 \nL 104.299649 150.280076 \nL 101.901525 149.971717 \nL 99.349651 149.24432 \nL 96.69548 148.092449 \nL 93.999961 146.521632 \nL 91.333871 144.551199 \nL 88.777197 142.217045 \nL 86.417302 139.573774 \nL 84.345707 136.6957 \nL 82.653296 133.676087 \nL 81.976023 132.14684 \nL 81.424181 130.624136 \nL 81.006063 129.123211 \nL 80.728658 127.659496 \nL 80.597419 126.248317 \nL 80.616083 124.904616 \nL 80.786523 123.642647 \nL 81.108628 122.475681 \nL 81.580235 121.415734 \nL 82.197123 120.473334 \nL 82.95306 119.657339 \nL 83.839886 118.974753 \nL 84.847692 118.430695 \nL 85.964993 118.028322 \nL 87.179 117.768829 \nL 88.475861 117.651604 \nL 89.840987 117.674255 \nL 91.259322 117.832829 \nL 92.715659 118.121976 \nL 95.682408 119.064852 \nL 98.626584 120.439985 \nL 101.446161 122.175254 \nL 104.056038 124.19492 \nL 106.389867 126.423994 \nL 108.399763 128.791198 \nL 110.054538 131.2306 \nL 111.337042 133.682317 \nL 112.241164 136.092463 \nL 112.769035 138.412655 \nL 112.928557 140.599301 \nL 112.731563 142.612813 \nL 112.19253 144.416909 \nL 111.327923 145.977964 \nL 110.156027 147.264669 \nL 108.697263 148.247843 \nL 106.974869 148.900605 \nL 105.015837 149.198925 \nL 102.8521 149.12252 \nL 100.521699 148.656254 \nL 98.069976 147.791938 \nL 95.550489 146.530513 \nL 93.025473 144.884469 \nL 90.565626 142.880336 \nL 88.248924 140.560757 \nL 86.158281 137.98583 \nL 84.377912 135.233112 \nL 82.988449 132.395911 \nL 82.061031 129.579438 \nL 81.788671 128.213715 \nL 81.651008 126.894995 \nL 81.651508 125.636934 \nL 81.791983 124.452589 \nL 82.07246 123.354143 \nL 82.491149 122.352724 \nL 83.044411 121.458155 \nL 83.726805 120.678773 \nL 84.531161 120.021321 \nL 85.448709 119.490826 \nL 86.46926 119.090599 \nL 87.581382 118.822202 \nL 88.772675 118.685529 \nL 90.029997 118.678877 \nL 91.339726 118.799091 \nL 94.061108 119.401141 \nL 96.828011 120.443433 \nL 99.539087 121.865356 \nL 102.105625 123.599322 \nL 104.454661 125.575524 \nL 106.529992 127.725334 \nL 108.291564 129.983619 \nL 109.713705 132.290103 \nL 110.782762 134.589775 \nL 111.494527 136.832834 \nL 111.8519 138.974268 \nL 111.862887 140.97326 \nL 111.539152 142.792582 \nL 110.89504 144.398005 \nL 109.947136 145.757905 \nL 108.71428 146.843055 \nL 107.217944 147.626644 \nL 105.482922 148.084641 \nL 103.538218 148.196472 \nL 101.418081 147.946083 \nL 99.162986 147.323412 \nL 96.820539 146.326154 \nL 94.445955 144.961833 \nL 92.102111 143.249966 \nL 89.858772 141.223979 \nL 87.790901 138.93266 \nL 85.975888 136.440621 \nL 84.48965 133.827381 \nL 83.401743 131.184807 \nL 82.769933 128.612731 \nL 82.638537 127.385061 \nL 82.634737 126.212991 \nL 82.760127 125.108416 \nL 83.014719 124.082507 \nL 83.396889 123.145424 \nL 83.903361 122.306226 \nL 84.529241 121.572622 \nL 85.268091 120.950924 \nL 86.112027 120.445931 \nL 87.051882 120.060892 \nL 88.077367 119.797506 \nL 89.177297 119.655944 \nL 90.339777 119.634963 \nL 92.802749 119.943161 \nL 95.365977 120.68783 \nL 97.932126 121.820222 \nL 100.412394 123.282052 \nL 102.730422 125.010118 \nL 104.824336 126.940021 \nL 106.647171 129.008959 \nL 108.166023 131.157466 \nL 109.360318 133.330426 \nL 110.219711 135.477363 \nL 110.741948 137.552346 \nL 110.930889 139.513629 \nL 110.794959 141.323173 \nL 110.346015 142.946183 \nL 109.598644 144.35068 \nL 108.569958 145.507285 \nL 107.279685 146.389188 \nL 105.750632 146.972341 \nL 104.009353 147.235972 \nL 102.086956 147.163436 \nL 100.019964 146.743339 \nL 97.851087 145.971068 \nL 95.629764 144.850477 \nL 93.41227 143.395766 \nL 91.261277 141.633202 \nL 89.244596 139.602594 \nL 87.433057 137.357911 \nL 85.897387 134.966991 \nL 84.704202 132.50978 \nL 83.911363 130.075082 \nL 83.563104 127.755878 \nL 83.564675 126.66836 \nL 83.685584 125.643508 \nL 83.925703 124.691453 \nL 84.283448 123.821451 \nL 84.755753 123.041731 \nL 85.338101 122.359375 \nL 86.024598 121.780161 \nL 86.808068 121.308547 \nL 87.680159 120.947599 \nL 88.631537 120.698972 \nL 89.652035 120.562988 \nL 91.856749 120.623815 \nL 94.203887 121.108364 \nL 96.602349 121.979347 \nL 98.965898 123.188121 \nL 101.217489 124.678978 \nL 103.292041 126.392868 \nL 105.137695 128.270465 \nL 106.715767 130.254284 \nL 107.999726 132.290026 \nL 108.973603 134.327301 \nL 109.630123 136.319825 \nL 109.968925 138.225308 \nL 109.994991 140.005151 \nL 109.7174 141.624068 \nL 109.148524 143.049783 \nL 108.303547 144.252749 \nL 107.200421 145.2061 \nL 105.86007 145.88575 \nL 104.306859 146.270806 \nL 102.56923 146.344184 \nL 100.680383 146.093565 \nL 98.678972 145.512611 \nL 96.609571 144.602417 \nL 94.522873 143.373092 \nL 92.475429 141.845331 \nL 90.528712 140.051725 \nL 88.747464 138.037562 \nL 87.197198 135.860817 \nL 85.940894 133.590999 \nL 85.035067 131.306799 \nL 84.525493 129.09233 \nL 84.443087 127.032404 \nL 84.566806 126.085743 \nL 84.800494 125.207051 \nL 85.142521 124.404727 \nL 85.589923 123.686202 \nL 86.13846 123.057869 \nL 86.782648 122.524984 \nL 87.515853 122.091576 \nL 88.330423 121.760437 \nL 89.217802 121.533128 \nL 91.173272 121.390171 \nL 93.302203 121.651794 \nL 95.521012 122.291238 \nL 97.747899 123.26927 \nL 99.907249 124.537998 \nL 101.932875 126.044456 \nL 103.769892 127.733656 \nL 105.375363 129.550948 \nL 106.717903 131.443733 \nL 107.776613 133.362403 \nL 108.539603 135.260912 \nL 109.002404 137.096847 \nL 109.166501 138.831335 \nL 109.038061 140.428804 \nL 108.627049 141.856741 \nL 107.946616 143.085461 \nL 107.012848 144.088038 \nL 105.844828 144.84037 \nL 104.464892 145.321447 \nL 102.899116 145.513883 \nL 101.177852 145.404665 \nL 99.336278 144.98617 \nL 97.414852 144.257362 \nL 95.459516 143.225177 \nL 93.521505 141.905875 \nL 91.656699 140.326237 \nL 89.924295 138.524425 \nL 88.384796 136.550115 \nL 87.097281 134.463806 \nL 86.116054 132.335053 \nL 85.486968 130.239572 \nL 85.243695 128.255293 \nL 85.404422 126.457741 \nL 85.637138 125.650757 \nL 85.969527 124.915268 \nL 86.398679 124.257938 \nL 86.920532 123.684517 \nL 87.529931 123.199677 \nL 88.220693 122.807036 \nL 88.985738 122.509091 \nL 90.706508 122.20166 \nL 92.622311 122.275514 \nL 94.65768 122.713166 \nL 96.736398 123.484196 \nL 98.785844 124.548435 \nL 100.740424 125.859292 \nL 102.543868 127.36667 \nL 104.15041 129.019472 \nL 105.524957 130.767446 \nL 106.642509 132.562439 \nL 107.48708 134.35914 \nL 108.05038 136.115459 \nL 108.330486 137.792575 \nL 108.330649 139.354856 \nL 108.058342 140.769675 \nL 107.524564 142.007307 \nL 106.743498 143.040772 \nL 105.732364 143.84597 \nL 104.511589 144.401806 \nL 103.105079 144.690677 \nL 101.54066 144.699038 \nL 99.850507 144.418265 \nL 98.071512 143.845679 \nL 96.245506 142.985692 \nL 94.419127 141.851002 \nL 92.643309 140.463685 \nL 90.972256 138.855993 \nL 89.461762 137.070617 \nL 88.166972 135.160307 \nL 87.139549 133.186527 \nL 86.424466 131.217206 \nL 86.056682 129.323485 \nL 86.058102 127.575849 \nL 86.435168 126.039843 \nL 86.762 125.369334 \nL 87.177522 124.772035 \nL 87.677819 124.253034 \nL 88.257986 123.816485 \nL 89.633947 123.202389 \nL 91.250068 122.943111 \nL 93.041978 123.036398 \nL 94.940497 123.465959 \nL 96.875866 124.203793 \nL 98.781561 125.213013 \nL 100.597325 126.450706 \nL 102.271206 127.870621 \nL 103.760674 129.425278 \nL 105.032796 131.067766 \nL 106.063845 132.752874 \nL 106.838358 134.437829 \nL 107.348066 136.082716 \nL 107.590745 137.650576 \nL 107.569189 139.107409 \nL 107.29037 140.422099 \nL 106.76485 141.566329 \nL 106.006434 142.514576 \nL 105.032086 143.244204 \nL 103.861988 143.73571 \nL 102.519815 143.973149 \nL 101.033053 143.944759 \nL 99.433303 143.643711 \nL 97.75657 143.069063 \nL 96.043296 142.2268 \nL 94.338152 141.130807 \nL 92.689394 139.803788 \nL 91.147817 138.27779 \nL 89.76507 136.594329 \nL 88.59155 134.803781 \nL 87.673775 132.964007 \nL 87.051492 131.138141 \nL 86.754783 129.391592 \nL 86.801439 127.788537 \nL 87.19501 126.388086 \nL 87.923804 125.240768 \nL 88.961063 124.385585 \nL 90.266356 123.848025 \nL 91.788083 123.639245 \nL 93.466812 123.756363 \nL 95.239021 124.183901 \nL 97.040824 124.895835 \nL 98.811323 125.858051 \nL 100.495254 127.030902 \nL 102.044833 128.371522 \nL 103.42072 129.835804 \nL 104.59226 131.379933 \nL 105.537161 132.961509 \nL 106.240727 134.54025 \nL 106.694944 136.078378 \nL 106.897532 137.540837 \nL 106.851022 138.895334 \nL 106.562088 140.112323 \nL 106.040956 141.164975 \nL 105.301175 142.029261 \nL 104.359469 142.684069 \nL 103.235818 143.111515 \nL 101.953645 143.297337 \nL 100.540042 143.231506 \nL 99.026027 142.908957 \nL 97.446651 142.330416 \nL 95.840947 141.503326 \nL 94.251614 140.442658 \nL 92.724301 139.171639 \nL 91.306484 137.722069 \nL 90.045868 136.134263 \nL 88.988339 134.456304 \nL 88.175579 132.742644 \nL 87.642483 131.051919 \nL 87.414591 129.444236 \nL 87.505913 127.977885 \nL 87.917333 126.706046 \nL 88.635907 125.673715 \nL 89.635222 124.915176 \nL 90.876767 124.452405 \nL 92.312299 124.294383 \nL 93.88681 124.437508 \nL 95.541893 124.866869 \nL 97.21901 125.558038 \nL 98.862437 126.479304 \nL 100.421577 127.593872 \nL 101.852576 128.86194 \nL 103.11921 130.242468 \nL 104.19312 131.694536 \nL 105.053537 133.178412 \nL 105.686691 134.656196 \nL 106.085022 136.092248 \nL 106.246366 137.45342 \nL 106.17319 138.709128 \nL 105.871965 139.831428 \nL 105.352742 140.795046 \nL 104.628854 141.577486 \nL 103.71684 142.159207 \nL 102.636488 142.523932 \nL 101.410934 142.659073 \nL 100.06687 142.556323 \nL 98.63465 142.212287 \nL 97.148324 141.629294 \nL 95.645489 140.816104 \nL 94.166868 139.78867 \nL 92.755517 138.570608 \nL 91.455706 137.193391 \nL 90.311337 135.696082 \nL 89.364044 134.124528 \nL 88.65098 132.529902 \nL 88.202519 130.966617 \nL 88.04004 129.489799 \nL 88.17409 128.152305 \nL 88.603143 127.001875 \nL 89.313151 126.078387 \nL 90.278019 125.411801 \nL 91.461019 125.020815 \nL 92.81692 124.91234 \nL 94.294749 125.082025 \nL 95.840738 125.515325 \nL 97.401235 126.189175 \nL 98.925254 127.073952 \nL 100.366524 128.135386 \nL 101.6849 129.336451 \nL 102.847135 130.63888 \nL 103.827123 132.00448 \nL 104.605686 133.396012 \nL 105.17007 134.777865 \nL 105.513289 136.116478 \nL 105.633441 137.380577 \nL 105.533047 138.541321 \nL 105.218524 139.572387 \nL 104.699807 140.450075 \nL 103.990102 141.15345 \nL 103.105784 141.664543 \nL 102.06643 141.96871 \nL 100.894895 142.055 \nL 99.617396 141.916764 \nL 98.263584 141.552222 \nL 96.86645 140.96516 \nL 95.462123 140.165571 \nL 94.08931 139.170229 \nL 92.788526 138.00301 \nL 91.600911 136.694934 \nL 90.566737 135.283778 \nL 89.723599 133.813166 \nL 89.104418 132.331114 \nL 88.735394 130.888043 \nL 88.634098 129.534381 \nL 88.807965 128.31802 \nL 89.253325 127.281659 \nL 89.955192 126.460499 \nL 90.887836 125.880549 \nL 92.016178 125.557455 \nL 93.297774 125.496276 \nL 94.68534 125.691861 \nL 96.12934 126.129957 \nL 97.580573 126.788681 \nL 98.992407 127.640201 \nL 100.322562 128.652532 \nL 101.534352 129.791145 \nL 102.597362 131.020364 \nL 103.487669 132.304448 \nL 104.187679 133.608539 \nL 104.685712 134.899221 \nL 104.975455 136.144937 \nL 105.055364 137.316256 \nL 104.928124 138.386058 \nL 104.600187 139.329661 \nL 104.081441 140.124943 \nL 103.385004 140.752533 \nL 102.527113 141.196048 \nL 101.527135 141.442422 \nL 100.407587 141.482345 \nL 99.194185 141.310744 \nL 97.915807 140.92736 \nL 96.604339 140.337333 \nL 95.294378 139.551729 \nL 94.022628 138.587995 \nL 92.827081 137.470132 \nL 91.745844 136.228615 \nL 90.815702 134.899857 \nL 90.070444 133.525276 \nL 89.539046 132.149813 \nL 89.243868 130.820105 \nL 89.199034 129.582243 \nL 89.409187 128.47946 \nL 89.868793 127.549811 \nL 90.562105 126.824298 \nL 91.463824 126.325267 \nL 92.540435 126.065667 \nL 93.75212 126.048793 \nL 95.054952 126.268792 \nL 96.403282 126.711624 \nL 97.751979 127.356417 \nL 99.058407 128.176979 \nL 100.283972 129.143379 \nL 101.395187 130.223342 \nL 102.364303 131.383503 \nL 103.169497 132.5905 \nL 103.794725 133.811672 \nL 104.229411 135.015688 \nL 104.467964 136.17293 \nL 104.509278 137.255773 \nL 104.356274 138.238802 \nL 104.015505 139.098942 \nL 103.496864 139.81565 \nL 102.813411 140.37111 \nL 101.981254 140.750518 \nL 101.019528 140.942364 \nL 99.95039 140.938892 \nL 98.798991 140.736549 \nL 97.593376 140.33649 \nL 96.364279 139.745084 \nL 95.14472 138.974337 \nL 93.969396 138.042213 \nL 92.873807 136.972695 \nL 91.893122 135.795576 \nL 91.060796 134.545859 \nL 90.407035 133.262756 \nL 89.957159 131.988266 \nL 89.730006 130.765423 \nL 89.7366 129.636235 \nL 89.979122 128.639628 \nL 90.450449 127.809457 \nL 91.134246 127.172848 \nL 92.005708 126.748896 \nL 93.032858 126.548039 \nL 94.178304 126.572054 \nL 95.40125 126.814413 \nL 96.659602 127.261276 \nL 97.911966 127.892674 \nL 99.119362 128.683888 \nL 100.246581 129.606809 \nL 101.721791 131.171811 \nL 102.868557 132.859946 \nL 103.423076 134.002399 \nL 103.797809 135.124047 \nL 103.987908 136.197129 \nL 103.992761 137.195781 \nL 103.815582 138.096243 \nL 103.463069 138.877043 \nL 102.945161 139.5192 \nL 102.274866 140.006446 \nL 101.468165 140.325486 \nL 100.543936 140.466359 \nL 99.523932 140.422796 \nL 98.432685 140.192667 \nL 97.297371 139.77844 \nL 96.147497 139.187562 \nL 95.014494 138.432839 \nL 93.418247 137.035154 \nL 92.044275 135.396084 \nL 91.303568 134.222352 \nL 90.734931 133.026489 \nL 90.360286 131.847654 \nL 90.195287 130.725438 \nL 90.24817 129.698058 \nL 90.51897 128.8005 \nL 90.99923 128.062742 \nL 91.672202 127.508386 \nL 92.513659 127.153599 \nL 93.493122 127.006642 \nL 94.575483 127.067852 \nL 95.722843 127.330149 \nL 96.896404 127.779878 \nL 98.058185 128.397897 \nL 99.701781 129.58848 \nL 101.135066 131.013896 \nL 102.276589 132.576584 \nL 103.06983 134.178612 \nL 103.388246 135.221978 \nL 103.532951 136.215098 \nL 103.503841 137.133805 \nL 103.304443 137.955953 \nL 102.941641 138.661634 \nL 102.425444 139.233409 \nL 101.768808 139.656517 \nL 100.987573 139.919159 \nL 100.100339 140.012829 \nL 99.1284 139.932692 \nL 98.095634 139.677942 \nL 97.028271 139.252228 \nL 95.424616 138.312878 \nL 93.908255 137.058679 \nL 92.582441 135.564795 \nL 91.544828 133.929288 \nL 91.054982 132.816613 \nL 90.749335 131.728313 \nL 90.640653 130.700749 \nL 90.734704 129.768602 \nL 91.029667 128.963181 \nL 91.515974 128.310955 \nL 92.176661 127.832368 \nL 92.988123 127.540937 \nL 93.921349 127.442976 \nL 94.943401 127.537581 \nL 96.019092 127.817196 \nL 97.112633 128.26835 \nL 98.710812 129.225509 \nL 100.164483 130.449578 \nL 101.385252 131.852573 \nL 102.306869 133.342441 \nL 102.88604 134.82847 \nL 103.101256 136.225236 \nL 103.0409 137.068181 \nL 102.821494 137.81626 \nL 102.450119 138.451092 \nL 101.936838 138.956728 \nL 101.294582 139.319876 \nL 100.539012 139.530181 \nL 99.688419 139.580541 \nL 98.763607 139.467446 \nL 97.288473 138.993448 \nL 95.785532 138.173438 \nL 94.348697 137.05048 \nL 93.074282 135.691247 \nL 92.05418 134.183854 \nL 91.367614 132.632783 \nL 91.124865 131.630092 \nL 91.066796 130.691416 \nL 91.196993 129.848126 \nL 91.512063 129.128192 \nL 92.001559 128.554893 \nL 92.648418 128.145792 \nL 93.429752 127.912061 \nL 94.317987 127.858269 \nL 95.282244 127.982467 \nL 96.289845 128.276703 \nL 97.8106 129.006645 \nL 99.249216 130.026102 \nL 100.513382 131.258217 \nL 101.52944 132.618484 \nL 102.244674 134.020636 \nL 102.627415 135.381172 \nL 102.665691 136.622643 \nL 102.502071 137.34965 \nL 102.193403 137.974842 \nL 101.748421 138.482494 \nL 101.178643 138.85938 \nL 100.498245 139.095042 \nL 99.723959 139.182068 \nL 98.874908 139.116406 \nL 97.508432 138.731856 \nL 96.102395 138.01947 \nL 94.743991 137.016457 \nL 93.523053 135.78189 \nL 92.525996 134.394948 \nL 91.828413 132.950543 \nL 91.487184 131.552269 \nL 91.474224 130.696918 \nL 91.635754 129.936401 \nL 91.967031 129.295593 \nL 92.456952 128.79486 \nL 93.0885 128.449207 \nL 93.839542 128.267737 \nL 94.68392 128.253484 \nL 95.59271 128.403598 \nL 97.010236 128.91748 \nL 98.402987 129.734272 \nL 99.677745 130.789361 \nL 100.755899 132.007193 \nL 101.577132 133.307399 \nL 102.10076 134.609729 \nL 102.305332 135.837867 \nL 102.187281 136.922143 \nL 101.934993 137.53463 \nL 101.552119 138.040481 \nL 101.048854 138.426571 \nL 100.437977 138.682401 \nL 99.734737 138.800308 \nL 98.545702 138.709611 \nL 97.256872 138.298656 \nL 95.945008 137.585994 \nL 94.692533 136.610436 \nL 93.58303 135.430812 \nL 92.695406 134.123793 \nL 92.096978 132.779357 \nL 91.83638 131.493878 \nL 91.863273 130.716504 \nL 92.05155 130.032891 \nL 92.395369 129.465124 \nL 92.883119 129.030936 \nL 93.497958 128.743014 \nL 94.218564 128.608624 \nL 95.020145 128.629467 \nL 96.3148 128.942461 \nL 97.635877 129.563147 \nL 98.892006 130.439678 \nL 100.002132 131.506644 \nL 100.900348 132.690844 \nL 101.538367 133.916553 \nL 101.886149 135.109695 \nL 101.93124 136.200991 \nL 101.677492 137.128472 \nL 101.35098 137.629319 \nL 100.908641 138.020742 \nL 100.361949 138.292227 \nL 99.724762 138.435919 \nL 98.635057 138.401973 \nL 97.441093 138.067301 \nL 96.213951 137.446753 \nL 95.030253 136.574008 \nL 93.96811 135.501378 \nL 93.101868 134.297983 \nL 92.495856 133.045761 \nL 92.198024 131.833508 \nL 92.234188 130.749147 \nL 92.444911 130.13686 \nL 92.797826 129.636326 \nL 93.281014 129.262919 \nL 93.877888 129.027288 \nL 94.567958 128.935043 \nL 95.725998 129.065418 \nL 96.954711 129.500419 \nL 98.16696 130.201166 \nL 99.28166 131.113022 \nL 100.22939 132.171039 \nL 100.955879 133.305208 \nL 101.423615 134.444795 \nL 101.611992 135.521922 \nL 101.51648 136.47433 \nL 101.147456 137.247582 \nL 100.760828 137.64102 \nL 99.995539 138.021899 \nL 99.047914 138.130756 \nL 97.972514 137.957455 \nL 96.832679 137.50794 \nL 95.698174 136.805408 \nL 94.641862 135.890609 \nL 93.735318 134.820823 \nL 93.043444 133.667037 \nL 92.618633 132.509289 \nL 92.495193 131.430277 \nL 92.684983 130.508015 \nL 92.980237 130.01355 \nL 93.399688 129.633752 \nL 93.929083 129.3797 \nL 94.550394 129.257907 \nL 95.60819 129.325984 \nL 96.746769 129.682211 \nL 97.885109 130.2941 \nL 98.946362 131.113467 \nL 99.86338 132.081384 \nL 100.582392 133.133063 \nL 101.064951 134.202068 \nL 101.288437 135.22387 \nL 101.245593 136.138708 \nL 100.943565 136.893814 \nL 100.402751 137.445366 \nL 99.655666 137.760238 \nL 98.745759 137.817678 \nL 97.72607 137.61099 \nL 96.657437 137.148839 \nL 95.606049 136.456185 \nL 94.640069 135.574198 \nL 93.825331 134.558901 \nL 93.22028 133.478203 \nL 92.870665 132.407221 \nL 92.804623 131.422231 \nL 93.029128 130.59396 \nL 93.33335 130.158484 \nL 93.749996 129.832325 \nL 94.264993 129.624771 \nL 95.183164 129.545752 \nL 96.214516 129.743268 \nL 97.284516 130.196568 \nL 98.319126 130.86812 \nL 99.250601 131.707884 \nL 100.021832 132.65781 \nL 100.589055 133.656072 \nL 100.923103 134.640855 \nL 101.009536 135.553355 \nL 100.848047 136.340285 \nL 100.451508 136.95589 \nL 99.844932 137.363788 \nL 99.064332 137.538607 \nL 98.155437 137.467588 \nL 97.172185 137.151904 \nL 96.174611 136.607724 \nL 95.226026 135.866472 \nL 94.389388 134.974079 \nL 93.722917 133.988866 \nL 93.275252 132.977992 \nL 93.080777 132.012373 \nL 93.155693 131.160807 \nL 93.495741 130.483769 \nL 94.07596 130.028033 \nL 94.852783 129.822716 \nL 95.768225 129.877336 \nL 96.755434 130.182086 \nL 97.744809 130.709883 \nL 98.669771 131.419902 \nL 99.471515 132.26146 \nL 100.102347 133.17819 \nL 100.527606 134.111831 \nL 100.72644 135.005381 \nL 100.69165 135.805813 \nL 100.429027 136.466253 \nL 99.956431 136.947867 \nL 99.302751 137.221536 \nL 98.506752 137.26939 \nL 97.615642 137.086196 \nL 96.683341 136.680413 \nL 95.768033 136.074746 \nL 94.929137 135.305831 \nL 94.223499 134.422864 \nL 93.701099 133.484831 \nL 93.400613 132.556477 \nL 93.345495 131.70321 \nL 93.541134 130.985498 \nL 93.973732 130.453547 \nL 94.611186 130.142867 \nL 95.406004 130.07168 \nL 96.299803 130.240016 \nL 97.228694 130.630788 \nL 98.128824 131.212347 \nL 98.941235 131.941829 \nL 99.802781 133.057163 \nL 100.234854 133.930507 \nL 100.4577 134.775475 \nL 100.462135 135.541416 \nL 100.251405 136.183106 \nL 99.840399 136.662666 \nL 99.254681 136.951193 \nL 98.529349 137.03025 \nL 97.707714 136.893178 \nL 96.839592 136.546092 \nL 95.979071 136.008394 \nL 94.939315 135.052829 \nL 94.135867 133.926131 \nL 93.750618 133.049263 \nL 93.58495 132.212648 \nL 93.652156 131.475212 \nL 93.948114 130.888702 \nL 94.451245 130.493241 \nL 95.124264 130.313993 \nL 95.917621 130.359617 \nL 96.774086 130.622267 \nL 97.633805 131.079245 \nL 98.686328 131.929262 \nL 99.524951 132.956413 \nL 100.062983 134.041901 \nL 100.237915 134.822294 \nL 100.208154 135.521347 \nL 99.97847 136.097574 \nL 99.564577 136.516713 \nL 98.992127 136.753263 \nL 98.295621 136.791891 \nL 97.517011 136.628597 \nL 96.703948 136.271527 \nL 95.654777 135.531309 \nL 94.75673 134.56592 \nL 94.118879 133.487521 \nL 93.861634 132.682752 \nL 93.816898 131.943868 \nL 93.988758 131.32263 \nL 94.365033 130.86202 \nL 94.918091 130.592596 \nL 95.607259 130.530221 \nL 96.382547 130.675354 \nL 97.189097 131.013789 \nL 98.218353 131.717754 \nL 99.087284 132.62676 \nL 99.702665 133.633206 \nL 100.004146 134.624295 \nL 100.008045 135.292759 \nL 99.823324 135.852211 \nL 99.463036 136.269243 \nL 98.949859 136.518552 \nL 98.315023 136.584276 \nL 97.596978 136.461096 \nL 96.586822 136.015068 \nL 95.620295 135.291533 \nL 94.809869 134.371056 \nL 94.254186 133.361254 \nL 94.048549 132.618683 \nL 94.042351 131.946289 \nL 94.236634 131.390936 \nL 94.617472 130.990632 \nL 95.156993 130.771568 \nL 95.815812 130.746205 \nL 96.546567 130.912717 \nL 97.544281 131.405419 \nL 98.46009 132.14474 \nL 99.191049 133.039608 \nL 99.660612 133.986353 \nL 99.824226 134.880263 \nL 99.738293 135.457708 \nL 99.480774 135.916471 \nL 99.068586 136.228899 \nL 98.52726 136.375672 \nL 97.889799 136.346951 \nL 96.958406 136.038164 \nL 96.029085 135.450834 \nL 95.208346 134.649337 \nL 94.594152 133.726018 \nL 94.262898 132.791165 \nL 94.227503 132.151468 \nL 94.379326 131.614138 \nL 94.707566 131.215995 \nL 95.188332 130.983261 \nL 95.786679 130.929728 \nL 96.459686 131.056042 \nL 97.391469 131.481894 \nL 98.260656 132.147192 \nL 98.968663 132.969501 \nL 99.440228 133.852883 \nL 99.629419 134.69887 \nL 99.52175 135.415946 \nL 99.254814 135.822326 \nL 98.846741 136.088018 \nL 98.322851 136.196462 \nL 97.500477 136.085014 \nL 96.620017 135.691791 \nL 95.780382 135.058538 \nL 95.079191 134.256405 \nL 94.601153 133.379253 \nL 94.406195 132.532707 \nL 94.462553 131.980557 \nL 94.689496 131.542077 \nL 95.070642 131.246723 \nL 95.578359 131.113237 \nL 96.17613 131.148332 \nL 97.039858 131.446645 \nL 97.883671 131.991699 \nL 98.609864 132.714307 \nL 99.138957 133.528532 \nL 99.417043 134.342021 \nL 99.419219 135.065603 \nL 99.241423 135.501846 \nL 98.922588 135.816932 \nL 98.48292 135.991513 \nL 97.756588 135.987689 \nL 96.944014 135.713875 \nL 96.135794 135.198606 \nL 95.42468 134.49904 \nL 94.895162 133.696025 \nL 94.612362 132.885233 \nL 94.612217 132.165016 \nL 94.799277 131.737693 \nL 95.132912 131.439748 \nL 95.589038 131.290324 \nL 96.330304 131.334599 \nL 97.138338 131.644866 \nL 97.915947 132.178334 \nL 98.573677 132.868207 \nL 99.039878 133.633022 \nL 99.267204 134.386305 \nL 99.235645 135.045465 \nL 98.952705 135.53937 \nL 98.594622 135.768442 \nL 97.965251 135.858311 \nL 97.226639 135.693224 \nL 96.460768 135.289885 \nL 95.754648 134.69251 \nL 95.190992 133.969372 \nL 94.837949 133.20573 \nL 94.739515 132.493504 \nL 94.908372 131.91904 \nL 95.198831 131.620866 \nL 95.607399 131.458691 \nL 96.284509 131.468606 \nL 97.034865 131.729264 \nL 97.768041 132.204387 \nL 98.399205 132.834184 \nL 98.858898 133.543858 \nL 99.099657 134.252689 \nL 99.099348 134.882447 \nL 98.861826 135.364835 \nL 98.415441 135.64763 \nL 97.810047 135.699607 \nL 97.112493 135.514037 \nL 96.400634 135.110315 \nL 95.755724 134.533254 \nL 95.253518 133.849235 \nL 94.954708 133.139102 \nL 94.896367 132.488247 \nL 95.085941 131.97527 \nL 95.377506 131.718551 \nL 95.925914 131.578062 \nL 96.592583 131.678275 \nL 97.295812 132.002411 \nL 98.099906 132.655434 \nL 98.690059 133.466854 \nL 98.941013 134.132643 \nL 98.967941 134.733007 \nL 98.771423 135.202506 \nL 98.375385 135.490175 \nL 97.82441 135.564374 \nL 97.179599 135.416191 \nL 96.513011 135.061174 \nL 95.764558 134.388634 \nL 95.236746 133.576555 \nL 95.041858 132.92675 \nL 95.076979 132.361597 \nL 95.337641 131.948879 \nL 95.790892 131.736743 \nL 96.379846 131.747578 \nL 97.031885 131.975929 \nL 97.816839 132.517565 \nL 98.438208 133.244572 \nL 98.791099 134.025104 \nL 98.841602 134.596257 \nL 98.68201 135.051733 \nL 98.332209 135.341969 \nL 97.831894 135.435095 \nL 97.2368 135.320329 \nL 96.461606 134.905075 \nL 95.780167 134.257731 \nL 95.316824 133.494839 \nL 95.163372 132.895777 \nL 95.225101 132.3848 \nL 95.494131 132.022856 \nL 95.936552 131.851822 \nL 96.497153 131.889232 \nL 97.107244 132.12684 \nL 97.829054 132.655174 \nL 98.386564 133.344748 \nL 98.685973 134.071088 \nL 98.707035 134.5932 \nL 98.533027 135.00027 \nL 98.185164 135.247878 \nL 97.702872 135.308751 \nL 97.140066 135.175748 \nL 96.420095 134.760747 \nL 95.801519 134.139586 \nL 95.397345 133.424525 \nL 95.283181 132.747503 \nL 95.417108 132.318685 \nL 95.734605 132.045967 \nL 96.195887 131.960067 \nL 96.743923 132.068204 \nL 97.44973 132.449458 \nL 98.059041 133.031861 \nL 98.466072 133.707818 \nL 98.604504 134.357585 \nL 98.5077 134.782563 \nL 98.239001 135.07207 \nL 97.829438 135.194346 \nL 97.325044 135.135695 \nL 96.648074 134.819321 \nL 96.031669 134.286604 \nL 95.587432 133.633214 \nL 95.397647 132.979018 \nL 95.454767 132.537151 \nL 95.691196 132.225215 \nL 96.077289 132.079147 \nL 96.565179 132.113951 \nL 97.227233 132.398869 \nL 97.833617 132.896153 \nL 98.277388 133.512609 \nL 98.484358 134.13777 \nL 98.423408 134.662916 \nL 98.190081 134.949642 \nL 97.821005 135.082737 \nL 97.23332 135.012285 \nL 96.602384 134.691935 \nL 96.040241 134.178053 \nL 95.648812 133.563268 \nL 95.500486 132.960413 \nL 95.622757 132.481014 \nL 95.900849 132.246532 \nL 96.302957 132.174288 \nL 96.90387 132.319498 \nL 97.508764 132.694407 \nL 98.008654 133.226802 \nL 98.317375 133.819381 \nL 98.385016 134.367546 \nL 98.20402 134.776693 \nL 97.90198 134.955772 \nL 97.384165 134.962048 \nL 96.796469 134.727437 \nL 96.242858 134.29311 \nL 95.762487 133.619857 \nL 95.601696 133.052428 \nL 95.692575 132.591051 \nL 95.935883 132.356126 \nL 96.299273 132.270348 \nL 96.853548 132.383313 \nL 97.421737 132.715074 \nL 97.978566 133.309721 \nL 98.27094 133.970369 \nL 98.261878 134.450756 \nL 98.026404 134.778233 \nL 97.607675 134.896723 \nL 97.079594 134.785881 \nL 96.535242 134.465109 \nL 95.996611 133.885664 \nL 95.71377 133.238159 \nL 95.72971 132.769916 \nL 95.972698 132.458991 \nL 96.395769 132.360708 \nL 96.91853 132.489443 \nL 97.540755 132.901869 \nL 98.007298 133.487184 \nL 98.204217 134.0941 \nL 98.128725 134.50589 \nL 97.850581 134.755643 \nL 97.419921 134.800547 \nL 96.912757 134.633016 \nL 96.329681 134.1957 \nL 95.915479 133.609405 \nL 95.778287 133.027309 \nL 95.903683 132.65676 \nL 96.222984 132.463221 \nL 96.675141 132.479573 \nL 97.273022 132.764146 \nL 97.783969 133.259545 \nL 98.080218 133.835488 \nL 98.092242 134.345952 \nL 97.884469 134.628694 \nL 97.51768 134.72864 \nL 97.056927 134.628748 \nL 96.495157 134.272512 \nL 96.059393 133.747312 \nL 95.862829 133.189914 \nL 95.920909 132.806973 \nL 96.17017 132.573458 \nL 96.56281 132.530286 \nL 97.118126 132.733748 \nL 97.627089 133.157592 \nL 97.960927 133.689152 \nL 98.03944 134.19252 \nL 97.897045 134.49884 \nL 97.592788 134.644939 \nL 97.181031 134.605813 \nL 96.648312 134.326788 \nL 96.202091 133.864706 \nL 95.957742 133.33953 \nL 95.978751 132.888774 \nL 96.196004 132.656116 \nL 96.552166 132.598576 \nL 97.067513 132.769142 \nL 97.550287 133.151692 \nL 97.910995 133.728232 \nL 97.961439 134.189532 \nL 97.810617 134.461247 \nL 97.513018 134.579468 \nL 97.038287 134.492473 \nL 96.550222 134.179701 \nL 96.129409 133.639413 \nL 96.002832 133.163852 \nL 96.129113 132.808245 \nL 96.403916 132.671235 \nL 96.859717 132.732146 \nL 97.337655 133.016827 \nL 97.760283 133.526157 \nL 97.905472 134.054736 \nL 97.773337 134.385761 \nL 97.506471 134.510411 \nL 97.06934 134.446887 \nL 96.540719 134.106375 \nL 96.166015 133.595382 \nL 96.069013 133.15763 \nL 96.207241 132.841019 \nL 96.476121 132.729847 \nL 96.907723 132.806859 \nL 97.415789 133.149998 \nL 97.761837 133.644263 \nL 97.831574 134.117877 \nL 97.654884 134.384381 \nL 97.307142 134.451002 \nL 96.877257 134.301937 \nL 96.418011 133.909718 \nL 96.155214 133.415805 \nL 96.158316 133.0437 \nL 96.372368 132.821717 \nL 96.739029 132.805541 \nL 97.228333 133.04439 \nL 97.620455 133.472931 \nL 97.783213 133.940353 \nL 97.699253 134.250014 \nL 97.432044 134.393262 \nL 97.05056 134.335071 \nL 96.591367 134.0362 \nL 96.268103 133.59103 \nL 96.193204 133.156082 \nL 96.348053 132.908475 \nL 96.662559 132.844483 \nL 97.117748 133.016964 \nL 97.514624 133.390035 \nL 97.718056 133.831335 \nL 97.662822 134.189225 \nL 97.424792 134.336474 \nL 97.074037 134.296604 \nL 96.642417 134.030912 \nL 96.300862 133.558256 \nL 96.251133 133.159845 \nL 96.411185 132.942597 \nL 96.714295 132.899586 \nL 97.139857 133.077884 \nL 97.53831 133.494364 \nL 97.677534 133.953097 \nL 97.539509 134.228137 \nL 97.263955 134.293194 \nL 96.857837 134.148421 \nL 96.454483 133.761312 \nL 96.287995 133.309231 \nL 96.397998 133.022949 \nL 96.65401 132.940766 \nL 97.045875 133.061662 \nL 97.446506 133.421927 \nL 97.628346 133.857641 \nL 97.545492 134.147425 \nL 97.315726 134.247355 \nL 96.945347 134.156888 \nL 96.54527 133.826783 \nL 96.340965 133.401621 \nL 96.397451 133.104144 \nL 96.607487 132.989371 \nL 96.962445 133.05783 \nL 97.357389 133.362158 \nL 97.573083 133.769588 \nL 97.518174 134.0979 \nL 97.268186 134.205057 \nL 96.919089 134.104973 \nL 96.553615 133.785787 \nL 96.379852 133.389889 \nL 96.448576 133.122581 \nL 96.698565 133.027371 \nL 97.088801 133.164734 \nL 97.448368 133.544739 \nL 97.542052 133.912691 \nL 97.413561 134.12272 \nL 97.134963 134.152804 \nL 96.758135 133.958606 \nL 96.460623 133.561858 \nL 96.439224 133.227867 \nL 96.619918 133.076037 \nL 96.920241 133.110611 \nL 97.309627 133.396908 \nL 97.50249 133.794094 \nL 97.422575 134.059471 \nL 97.185588 134.125279 \nL 96.833971 133.982231 \nL 96.523958 133.628792 \nL 96.469667 133.267882 \nL 96.628066 133.115914 \nL 96.946988 133.153607 \nL 97.304285 133.432211 \nL 97.468766 133.802239 \nL 97.379446 134.039533 \nL 97.15 134.0879 \nL 96.782461 133.909871 \nL 96.511417 133.523628 \nL 96.539886 133.222496 \nL 96.735991 133.136473 \nL 97.05102 133.23809 \nL 97.371182 133.580325 \nL 97.423739 133.904852 \nL 97.255941 134.052981 \nL 96.963848 134.000161 \nL 96.624411 133.69847 \nL 96.52759 133.338549 \nL 96.674914 133.179017 \nL 96.952901 133.213691 \nL 97.289416 133.49264 \nL 97.402393 133.842737 \nL 97.276973 134.010928 \nL 97.017347 133.996575 \nL 96.683748 133.742477 \nL 96.551927 133.399269 \nL 96.682671 133.211684 \nL 96.937799 133.233239 \nL 97.256768 133.484969 \nL 97.374703 133.81368 \nL 97.242859 133.988445 \nL 96.961816 133.947357 \nL 96.667668 133.683612 \nL 96.585774 133.371238 \nL 96.741525 133.22835 \nL 97.023289 133.299859 \nL 97.305234 133.604762 \nL 97.322751 133.884338 \nL 97.159015 133.973449 \nL 96.88289 133.87745 \nL 96.631988 133.569076 \nL 96.647073 133.313009 \nL 96.854025 133.255898 \nL 97.149541 133.420893 \nL 97.321383 133.736148 \nL 97.226989 133.931112 \nL 96.990007 133.915327 \nL 96.705537 133.67106 \nL 96.642813 133.378303 \nL 96.797446 133.274856 \nL 97.073978 133.378464 \nL 97.29136 133.689213 \nL 97.235712 133.894208 \nL 97.028678 133.909327 \nL 96.750208 133.704799 \nL 96.661855 133.402694 \nL 96.798575 133.297867 \nL 97.055338 133.385131 \nL 97.266923 133.672079 \nL 97.209297 133.880476 \nL 96.98531 133.874086 \nL 96.723787 133.635535 \nL 96.703896 133.373706 \nL 96.890828 133.324901 \nL 97.167157 133.513436 \nL 97.243801 133.802975 \nL 97.088103 133.883342 \nL 96.834244 133.754017 \nL 96.695416 133.464954 \nL 96.822529 133.33779 \nL 97.06785 133.431828 \nL 97.23637 133.707726 \nL 97.145647 133.858913 \nL 96.914951 133.801695 \nL 96.72033 133.543268 \nL 96.790445 133.365169 \nL 97.010277 133.407429 \nL 97.214034 133.672125 \nL 97.141009 133.839572 \nL 96.928022 133.794515 \nL 96.734897 133.5369 \nL 96.810669 133.378617 \nL 97.018284 133.42756 \nL 97.199572 133.677704 \nL 97.121618 133.826277 \nL 96.901932 133.761803 \nL 96.747072 133.497636 \nL 96.86063 133.387874 \nL 97.092619 133.504716 \nL 97.176416 133.757014 \nL 97.039689 133.813189 \nL 96.810267 133.649405 \nL 96.797487 133.426188 \nL 96.978734 133.431376 \nL 97.166697 133.653374 \nL 97.100953 133.797902 \nL 97.087451 133.800676 \nL 96.878671 133.714439 \nL 96.784515 133.471736 \nL 96.921888 133.421782 \nL 97.132536 133.595605 \nL 97.109007 133.778852 \nL 96.920555 133.736562 \nL 96.789805 133.509919 \nL 96.903847 133.430173 \nL 97.109269 133.5747 \nL 97.104241 133.764876 \nL 96.930437 133.732324 \nL 96.802835 133.509996 \nL 96.929325 133.445973 \nL 97.118603 133.61188 \nL 97.090262 133.75673 \nL 97.069672 133.763228 \nL 96.888623 133.686807 \nL 96.833621 133.475398 \nL 96.978862 133.474831 \nL 97.123312 133.679313 \nL 97.034946 133.754148 \nL 97.010748 133.750431 \nL 96.833627 133.590463 \nL 96.870384 133.466916 \nL 96.900844 133.462241 \nL 97.080246 133.576049 \nL 97.08198 133.733198 \nL 97.056013 133.742899 \nL 96.879474 133.654217 \nL 96.858262 133.486264 \nL 96.88186 133.474854 \nL 97.052731 133.551605 \nL 97.077651 133.7225 \nL 97.062805 133.73027 \nL 96.898336 133.665543 \nL 96.86304 133.496624 \nL 96.884095 133.484793 \nL 97.043286 133.550862 \nL 97.073222 133.7125 \nL 97.052405 133.723259 \nL 96.890747 133.647137 \nL 96.873387 133.501475 \nL 96.910668 133.489421 \nL 97.068927 133.597375 \nL 97.057043 133.711351 \nL 97.008775 133.716776 \nL 96.861259 133.574241 \nL 96.90323 133.498532 \nL 96.954926 133.504034 \nL 97.077994 133.663068 \nL 97.010149 133.709864 \nL 96.965721 133.695267 \nL 96.873818 133.529107 \nL 96.877373 133.523705 \nL 97.00366 133.537329 \nL 97.059901 133.686363 \nL 97.032915 133.702102 \nL 96.891387 133.618325 \nL 96.894861 133.519069 \nL 96.957626 133.517521 \nL 97.061041 133.668424 \nL 97.058597 133.673888 \nL 96.957911 133.678899 \nL 96.935349 133.662784 \nL 96.889827 133.534026 \nL 96.933219 133.517942 \nL 97.058056 133.643466 \nL 97.011924 133.690838 \nL 96.947762 133.666738 \nL 96.893872 133.540785 \nL 96.939289 133.524203 \nL 97.051759 133.650049 \nL 96.992946 133.683175 \nL 96.939434 133.654922 \nL 96.9006 133.543053 \nL 96.983949 133.545842 \nL 97.040527 133.663589 \nL 96.975458 133.672777 \nL 96.901711 133.552877 \nL 96.93816 133.534387 \nL 97.041173 133.644677 \nL 97.038805 133.653872 \nL 96.971931 133.666861 \nL 96.927987 133.633099 \nL 96.912833 133.547911 \nL 97.025879 133.662401 \nL 96.97118 133.613972 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p6eb33cb61c\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:31:33.456530</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m7a72b34c5f\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.277999\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −15 -->\n      <g transform=\"translate(17.725655 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"79.267612\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −10 -->\n      <g transform=\"translate(68.715269 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"130.257226\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −5 -->\n      <g transform=\"translate(122.886132 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"181.246839\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0 -->\n      <g transform=\"translate(178.065589 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"232.236453\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 5 -->\n      <g transform=\"translate(229.055203 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"283.226066\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(276.863566 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"334.21568\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 15 -->\n      <g transform=\"translate(327.85318 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"md74d42768b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"225.481893\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 5 -->\n      <g transform=\"translate(13.5625 229.281112)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"189.747787\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 193.547005)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"154.01368\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 15 -->\n      <g transform=\"translate(7.2 157.812899)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"118.279573\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 122.078792)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"82.545467\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 25 -->\n      <g transform=\"translate(7.2 86.344686)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"46.81136\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 50.610579)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"11.077254\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 35 -->\n      <g transform=\"translate(7.2 14.876472)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pb5baa9df20)\" d=\"M 191.444762 261.216 \nL 186.817205 261.173084 \nL 187.067773 261.129719 \nL 195.174914 260.496629 \nL 200.493246 259.832074 \nL 205.120792 259.080593 \nL 210.843938 257.926326 \nL 217.903293 256.157073 \nL 222.019667 254.947599 \nL 226.576958 253.454232 \nL 231.614201 251.612943 \nL 237.170703 249.34666 \nL 243.284554 246.563371 \nL 249.990513 243.154369 \nL 257.317017 238.992973 \nL 265.282058 233.934179 \nL 273.887722 227.815988 \nL 283.113007 220.463389 \nL 292.904852 211.696347 \nL 303.167177 201.343351 \nL 313.748371 189.262193 \nL 324.428008 175.369213 \nL 334.904488 159.677097 \nL 344.786595 142.338727 \nL 353.593168 123.690821 \nL 360.766286 104.285783 \nL 365.703415 84.895793 \nL 367.812273 66.471635 \nL 366.587269 50.045333 \nL 361.698436 36.581957 \nL 353.074741 26.809754 \nL 340.957433 21.078234 \nL 325.90144 19.296 \nL 308.715174 20.974799 \nL 290.349876 25.364271 \nL 271.767058 31.625237 \nL 253.818901 38.982461 \nL 237.167698 46.818708 \nL 222.253464 54.704328 \nL 209.303074 62.379655 \nL 198.36582 69.714686 \nL 189.359836 76.665392 \nL 182.117872 83.237333 \nL 176.426052 89.459858 \nL 172.053338 95.370072 \nL 168.771994 101.004181 \nL 166.370451 106.39355 \nL 164.660358 111.563643 \nL 163.479476 116.534376 \nL 162.691764 121.320988 \nL 162.185744 125.935108 \nL 161.679633 134.679593 \nL 161.026508 153.966202 \nL 160.468877 160.724171 \nL 159.604778 166.963157 \nL 159.043435 169.89156 \nL 158.389612 172.693647 \nL 157.638762 175.369643 \nL 156.786152 177.919227 \nL 155.826676 180.341479 \nL 154.754724 182.634771 \nL 153.5641 184.79667 \nL 152.247946 186.823841 \nL 150.798713 188.711897 \nL 149.208144 190.455261 \nL 147.46728 192.047002 \nL 145.566488 193.478634 \nL 143.495512 194.739914 \nL 141.243558 195.8186 \nL 138.799422 196.700223 \nL 136.151645 197.367798 \nL 133.28877 197.801579 \nL 130.199627 197.978767 \nL 126.87375 197.873307 \nL 123.301896 197.455673 \nL 119.476697 196.692801 \nL 115.393477 195.548138 \nL 111.05128 193.981902 \nL 106.454067 191.951656 \nL 101.612185 189.413297 \nL 96.544034 186.322537 \nL 91.27795 182.637089 \nL 85.854283 178.319604 \nL 80.327478 173.341503 \nL 74.768102 167.687724 \nL 69.264491 161.362254 \nL 63.923793 154.394237 \nL 58.871845 146.844081 \nL 54.251602 138.808814 \nL 50.21944 130.425536 \nL 46.939088 121.871823 \nL 44.572952 113.361704 \nL 43.270952 105.136441 \nL 43.157727 97.449909 \nL 44.319302 90.549572 \nL 46.791124 84.655252 \nL 50.549416 79.938992 \nL 55.507844 76.50957 \nL 61.520555 74.404543 \nL 68.391862 73.591493 \nL 75.891367 73.977632 \nL 83.772317 75.42569 \nL 91.790561 77.772377 \nL 99.721339 80.846194 \nL 107.372008 84.481859 \nL 114.589732 88.5303 \nL 121.264137 92.863884 \nL 127.325747 97.377948 \nL 132.741376 101.989642 \nL 137.507778 106.63525 \nL 141.644652 111.266927 \nL 145.187857 115.849449 \nL 148.183403 120.357352 \nL 150.682471 124.772493 \nL 152.737542 129.082167 \nL 154.399588 133.27765 \nL 155.716175 137.353135 \nL 156.73032 141.304874 \nL 157.479925 145.130617 \nL 157.997623 148.829178 \nL 158.310928 152.400074 \nL 158.442543 155.843284 \nL 158.410784 159.159059 \nL 158.230043 162.347756 \nL 157.911239 165.409693 \nL 157.462254 168.345055 \nL 156.888326 171.153767 \nL 156.192384 173.835406 \nL 155.375354 176.389093 \nL 154.436404 178.813397 \nL 153.373144 181.106233 \nL 152.181808 183.26473 \nL 150.857384 185.285113 \nL 149.393751 187.16257 \nL 147.78377 188.891082 \nL 146.019397 190.463255 \nL 144.091787 191.870133 \nL 141.991398 193.100988 \nL 139.708143 194.143094 \nL 137.231545 194.981484 \nL 134.55096 195.598697 \nL 131.655835 195.974551 \nL 128.53608 196.085886 \nL 125.182491 195.906394 \nL 121.587315 195.406487 \nL 117.744946 194.553279 \nL 113.652788 193.310742 \nL 109.312294 191.640095 \nL 104.730208 189.500512 \nL 99.920016 186.850245 \nL 94.903615 183.64832 \nL 89.713127 179.856853 \nL 84.392852 175.444152 \nL 79.001163 170.388632 \nL 73.612294 164.68351 \nL 68.317598 158.342186 \nL 63.226096 151.40392 \nL 58.463841 143.939226 \nL 54.171687 136.054233 \nL 50.501012 127.892902 \nL 47.607181 119.635906 \nL 45.640598 111.495309 \nL 44.735777 103.704277 \nL 44.999201 96.502126 \nL 46.497298 90.115995 \nL 49.246238 84.741389 \nL 53.20541 80.524682 \nL 58.276119 77.550784 \nL 64.306268 75.838138 \nL 71.10086 75.341979 \nL 78.436967 75.964775 \nL 86.080984 77.571517 \nL 93.805781 80.006658 \nL 101.405377 83.109769 \nL 108.705607 86.727973 \nL 115.570203 90.724218 \nL 121.902363 94.98148 \nL 127.642696 99.403709 \nL 132.764639 103.914638 \nL 137.268429 108.455284 \nL 141.174682 112.98099 \nL 144.51822 117.458577 \nL 147.342663 121.863739 \nL 149.695966 126.178934 \nL 151.626978 130.391661 \nL 153.182948 134.493142 \nL 154.407838 138.477337 \nL 155.341327 142.340212 \nL 156.018314 146.079136 \nL 156.468797 149.692521 \nL 156.718005 153.179447 \nL 156.786701 156.53943 \nL 156.691557 159.772231 \nL 156.445575 162.877686 \nL 156.058505 165.855572 \nL 155.537238 168.705471 \nL 154.886162 171.426669 \nL 154.107483 174.018047 \nL 153.201487 176.477957 \nL 152.166782 178.804128 \nL 151.000488 180.993528 \nL 149.698409 183.042257 \nL 148.25517 184.945382 \nL 146.664351 186.696809 \nL 144.918605 188.289089 \nL 143.009779 189.713258 \nL 140.929048 190.958623 \nL 138.667067 192.012555 \nL 136.214156 192.860263 \nL 133.560515 193.484564 \nL 130.696527 193.865673 \nL 127.613092 193.981002 \nL 124.3021 193.804992 \nL 120.756976 193.309045 \nL 116.973374 192.461549 \nL 112.950018 191.228097 \nL 108.689726 189.571907 \nL 104.200597 187.45457 \nL 99.497405 184.837237 \nL 94.603175 181.682279 \nL 89.550857 177.955589 \nL 84.385149 173.629571 \nL 79.164191 168.686878 \nL 73.961099 163.124825 \nL 68.865026 156.96037 \nL 63.981446 150.235232 \nL 59.431324 143.020709 \nL 55.348735 135.421364 \nL 51.876674 127.576624 \nL 49.160703 119.659297 \nL 47.340537 111.870229 \nL 46.539886 104.428436 \nL 46.855351 97.557311 \nL 48.34557 91.467829 \nL 51.022173 86.340975 \nL 54.844157 82.312191 \nL 59.717029 79.460363 \nL 65.49732 77.803511 \nL 72.002267 77.301682 \nL 79.023473 77.866311 \nL 86.3426 79.37383 \nL 93.746952 81.680863 \nL 101.042854 84.638417 \nL 108.065558 88.103321 \nL 114.684945 91.945967 \nL 120.807233 96.054522 \nL 126.373349 100.33617 \nL 131.354928 104.716278 \nL 135.748947 109.136327 \nL 139.571879 113.551427 \nL 142.854054 117.927663 \nL 145.634603 122.239805 \nL 147.957266 126.469258 \nL 149.867105 130.602513 \nL 151.408081 134.629811 \nL 152.621393 138.544213 \nL 153.544449 142.340853 \nL 154.210323 146.01635 \nL 154.647574 149.568386 \nL 154.880319 152.995388 \nL 154.928465 156.296244 \nL 154.808037 159.470103 \nL 154.531546 162.5162 \nL 154.108377 165.433705 \nL 153.545142 168.221581 \nL 152.846018 170.878479 \nL 152.013043 173.4026 \nL 151.046385 175.791585 \nL 149.944562 178.04238 \nL 148.704638 180.151129 \nL 147.322405 182.11302 \nL 145.792521 183.922135 \nL 144.108668 185.571299 \nL 142.263683 187.051903 \nL 140.249702 188.353723 \nL 138.058344 189.464715 \nL 135.680868 190.37082 \nL 133.108435 191.055755 \nL 130.332365 191.500816 \nL 127.344503 191.684711 \nL 124.137627 191.583422 \nL 120.70601 191.17015 \nL 117.046043 190.415375 \nL 113.15704 189.287043 \nL 109.042178 187.751013 \nL 104.7096 185.77175 \nL 100.173691 183.313415 \nL 95.4565 180.341418 \nL 90.589307 176.82451 \nL 85.614219 172.737492 \nL 80.585728 168.064594 \nL 75.572089 162.803436 \nL 70.65623 156.969496 \nL 65.936047 150.600705 \nL 61.523647 143.761785 \nL 57.543284 136.547597 \nL 54.127602 129.08473 \nL 51.412097 121.530477 \nL 49.527626 114.068346 \nL 48.591421 106.899755 \nL 48.697079 100.23208 \nL 49.904771 94.263946 \nL 52.232744 89.169562 \nL 55.651762 85.084235 \nL 60.083476 82.093679 \nL 65.403615 80.228701 \nL 71.44982 79.466334 \nL 78.033233 79.73685 \nL 84.95237 80.934989 \nL 92.007265 82.933296 \nL 99.012209 85.595183 \nL 105.805571 88.785931 \nL 112.256075 92.380743 \nL 118.265396 96.269573 \nL 123.767616 100.359167 \nL 128.726253 104.573025 \nL 133.129783 108.850011 \nL 136.986492 113.142264 \nL 140.319264 117.412966 \nL 143.160806 121.634144 \nL 145.549546 125.784766 \nL 147.526334 129.849169 \nL 149.131914 133.815753 \nL 150.405146 137.676011 \nL 151.381827 141.4237 \nL 152.093991 145.054281 \nL 152.569612 148.564421 \nL 152.832545 151.951639 \nL 152.902678 155.214027 \nL 152.796174 158.349997 \nL 152.525786 161.358097 \nL 152.1012 164.236854 \nL 151.529358 166.984606 \nL 150.814777 169.599383 \nL 149.959843 172.078765 \nL 148.965065 174.419753 \nL 147.829307 176.618647 \nL 146.549989 178.670908 \nL 145.12327 180.571006 \nL 143.544224 182.312285 \nL 141.806988 183.886796 \nL 139.904933 185.285113 \nL 137.83084 186.496174 \nL 135.577087 187.507092 \nL 133.135871 188.302959 \nL 130.499478 188.866682 \nL 127.660615 189.178836 \nL 124.6128 189.217536 \nL 121.350835 188.958381 \nL 117.871407 188.374504 \nL 114.173787 187.43674 \nL 110.260675 186.113995 \nL 106.13917 184.373848 \nL 101.82191 182.183467 \nL 97.328327 179.510947 \nL 92.686036 176.32709 \nL 87.932272 172.607714 \nL 83.115272 168.336555 \nL 78.295568 163.508694 \nL 73.54691 158.134422 \nL 68.956621 152.243339 \nL 64.625186 145.888296 \nL 60.664711 139.148633 \nL 57.195996 132.132142 \nL 54.344004 124.974866 \nL 52.231723 117.8382 \nL 50.972485 110.902653 \nL 50.661308 104.358357 \nL 51.365979 98.392866 \nL 53.118912 93.177408 \nL 55.911131 88.853421 \nL 59.689292 85.521505 \nL 64.356772 83.234443 \nL 69.778873 81.995587 \nL 75.791778 81.762584 \nL 82.214137 82.455595 \nL 88.859724 83.96828 \nL 95.549543 86.179551 \nL 102.121981 88.964381 \nL 108.44014 92.202443 \nL 114.395903 95.783992 \nL 119.910975 99.61317 \nL 124.935405 103.609143 \nL 129.444345 107.705594 \nL 133.433768 111.849345 \nL 136.915821 115.998523 \nL 139.914294 120.120587 \nL 142.46057 124.190551 \nL 144.590194 128.189332 \nL 146.340151 132.102494 \nL 147.74684 135.919104 \nL 148.844622 139.630928 \nL 149.664907 143.231752 \nL 150.235621 146.716831 \nL 150.580996 150.082477 \nL 150.721553 153.325747 \nL 150.674268 156.444166 \nL 150.452782 159.435499 \nL 150.067698 162.297565 \nL 149.526873 165.028059 \nL 148.835711 167.624427 \nL 147.997447 170.083695 \nL 147.013401 172.402349 \nL 145.883213 174.576188 \nL 144.605067 176.600197 \nL 143.175871 178.468385 \nL 141.591461 180.173662 \nL 139.846765 181.707647 \nL 137.935992 183.060537 \nL 135.852834 184.22093 \nL 133.590669 185.175652 \nL 131.142825 185.909605 \nL 128.502853 186.405634 \nL 125.664905 186.644403 \nL 122.624126 186.604333 \nL 119.377181 186.261624 \nL 115.92285 185.590363 \nL 112.262752 184.562801 \nL 108.402177 183.149803 \nL 104.351045 181.321583 \nL 100.125015 179.048724 \nL 95.74666 176.30361 \nL 91.246721 173.062276 \nL 86.665399 169.306756 \nL 82.05351 165.027909 \nL 77.473472 160.228653 \nL 72.999851 154.927521 \nL 68.719348 149.162202 \nL 64.729901 142.992779 \nL 61.138732 136.504058 \nL 58.059056 129.806476 \nL 55.605401 123.034915 \nL 53.887537 116.344898 \nL 53.003247 109.905919 \nL 53.030488 103.892133 \nL 54.019717 98.470989 \nL 55.987311 93.791138 \nL 58.911175 89.971216 \nL 62.729327 87.091184 \nL 67.342062 85.187548 \nL 72.617668 84.253287 \nL 78.40109 84.242177 \nL 84.524487 85.076601 \nL 90.818391 86.657335 \nL 97.12202 88.873663 \nL 103.291705 91.6125 \nL 109.206762 94.765475 \nL 114.772552 98.233814 \nL 119.921007 101.930985 \nL 124.60908 105.783582 \nL 128.815737 109.730891 \nL 132.538147 113.723742 \nL 135.787586 117.722959 \nL 138.5855 121.697681 \nL 140.95996 125.623833 \nL 142.942673 129.482728 \nL 144.566622 133.259943 \nL 145.864261 136.944314 \nL 146.866257 140.527212 \nL 147.600661 144.001903 \nL 148.092433 147.363051 \nL 148.36323 150.606342 \nL 148.431391 153.728142 \nL 148.312054 156.725261 \nL 148.01735 159.594701 \nL 147.556641 162.333483 \nL 146.936794 164.938466 \nL 146.162428 167.406193 \nL 145.236181 169.732746 \nL 144.158941 171.913599 \nL 142.930076 173.943476 \nL 141.547638 175.816203 \nL 140.008573 177.524575 \nL 138.308906 179.060195 \nL 136.44395 180.413324 \nL 134.40851 181.572729 \nL 132.197122 182.525549 \nL 129.804305 183.257144 \nL 127.224869 183.750999 \nL 124.454275 183.98863 \nL 121.489048 183.949569 \nL 118.327275 183.611419 \nL 114.969197 182.950006 \nL 111.417898 181.939696 \nL 107.680093 180.553878 \nL 103.767034 178.765714 \nL 99.695513 176.549175 \nL 95.488924 173.880403 \nL 91.178399 170.739492 \nL 86.80389 167.11268 \nL 82.415182 162.994917 \nL 78.072592 158.3928 \nL 73.84736 153.327676 \nL 69.821422 147.838681 \nL 66.086394 141.985412 \nL 62.741571 135.849692 \nL 59.890775 129.536041 \nL 57.638 123.170249 \nL 56.081872 116.895651 \nL 55.309211 110.867047 \nL 55.388182 105.242317 \nL 56.361636 100.172511 \nL 58.241594 95.791394 \nL 61.005599 92.205838 \nL 64.595737 89.488443 \nL 68.920666 87.673521 \nL 73.860693 86.756899 \nL 79.275364 86.699579 \nL 85.012639 87.434247 \nL 90.918602 88.873622 \nL 96.846487 90.919121 \nL 102.664133 93.468835 \nL 108.259338 96.423895 \nL 113.542763 99.692955 \nL 118.448668 103.19491 \nL 122.933791 106.85991 \nL 126.974934 110.629355 \nL 130.565714 114.455003 \nL 133.71306 118.297785 \nL 136.433694 122.126418 \nL 138.750979 125.916078 \nL 140.692169 129.647137 \nL 142.286209 133.304136 \nL 143.562027 136.874902 \nL 144.547285 140.349757 \nL 145.267548 143.720986 \nL 145.74577 146.982324 \nL 146.002023 150.128538 \nL 146.053432 153.155142 \nL 145.91423 156.058095 \nL 145.595908 158.833587 \nL 145.107396 161.477835 \nL 144.455309 163.9869 \nL 143.644168 166.356529 \nL 142.676639 168.58199 \nL 141.55376 170.657949 \nL 140.275159 172.57829 \nL 138.839267 174.336008 \nL 137.243527 175.923047 \nL 135.484603 177.330156 \nL 133.558599 178.546759 \nL 131.461306 179.560832 \nL 129.188438 180.358771 \nL 126.735959 180.925302 \nL 124.100403 181.24344 \nL 121.27927 181.294449 \nL 118.271504 181.05793 \nL 115.078025 180.511955 \nL 111.702354 179.633392 \nL 108.151322 178.398339 \nL 104.43589 176.782791 \nL 100.572023 174.763573 \nL 96.581633 172.319565 \nL 92.493569 169.433242 \nL 88.344565 166.092589 \nL 84.180078 162.293339 \nL 80.05494 158.041483 \nL 76.033661 153.355961 \nL 72.190252 148.271269 \nL 68.607349 142.839792 \nL 65.374526 137.133437 \nL 62.585643 131.244092 \nL 60.335163 125.282664 \nL 58.713455 119.376172 \nL 57.801311 113.662837 \nL 57.664016 108.285245 \nL 58.34552 103.382029 \nL 59.863427 99.078953 \nL 62.205395 95.480337 \nL 65.327717 92.662111 \nL 69.156383 90.667443 \nL 73.590752 89.505442 \nL 78.50949 89.153177 \nL 83.778162 89.560417 \nL 89.257546 90.656197 \nL 94.811757 92.356234 \nL 100.315309 94.570013 \nL 105.658497 97.206941 \nL 110.750811 100.18099 \nL 115.522432 103.413736 \nL 119.923953 106.836042 \nL 123.924814 110.388569 \nL 127.510814 114.02144 \nL 130.681165 117.693393 \nL 133.445433 121.370757 \nL 135.820633 125.026284 \nL 137.828613 128.638053 \nL 139.49389 132.188481 \nL 140.841898 135.663432 \nL 141.897639 139.051522 \nL 142.684765 142.343484 \nL 143.224917 145.531669 \nL 143.537365 148.609644 \nL 143.638829 151.571832 \nL 143.543441 154.413232 \nL 143.262822 157.129155 \nL 142.806217 159.715013 \nL 142.18068 162.166157 \nL 141.391279 164.477661 \nL 140.441299 166.6442 \nL 139.332466 168.659874 \nL 138.065161 170.518083 \nL 136.63863 172.211365 \nL 135.051205 173.731289 \nL 133.300519 175.068298 \nL 131.38374 176.211605 \nL 129.297825 177.149082 \nL 127.039793 177.867175 \nL 124.607038 178.350834 \nL 121.997692 178.583502 \nL 119.211021 178.547175 \nL 116.247905 178.222493 \nL 113.111384 177.588997 \nL 109.807258 176.62547 \nL 106.344787 175.310489 \nL 102.737439 173.62315 \nL 99.003719 171.544056 \nL 95.168012 169.05657 \nL 91.261397 166.148355 \nL 87.322444 162.813203 \nL 83.397836 159.053122 \nL 79.542727 154.880608 \nL 75.82076 150.320912 \nL 72.303544 145.414166 \nL 69.069515 140.217068 \nL 66.20201 134.80379 \nL 63.786469 129.265742 \nL 61.906793 123.70996 \nL 60.640922 118.255787 \nL 60.055866 113.0299 \nL 60.202614 108.159876 \nL 61.111345 103.766805 \nL 62.787554 99.957679 \nL 65.209708 96.818499 \nL 68.328782 94.409039 \nL 72.069967 92.759889 \nL 76.336571 91.872194 \nL 81.015586 91.719998 \nL 85.984478 92.254679 \nL 91.118344 93.410751 \nL 96.296705 95.112069 \nL 101.409257 97.277757 \nL 106.360187 99.827198 \nL 111.07077 102.683825 \nL 115.480413 105.777653 \nL 119.546239 109.046604 \nL 123.241656 112.436958 \nL 126.55417 115.903116 \nL 129.482867 119.406938 \nL 132.035781 122.916894 \nL 134.227417 126.407098 \nL 136.07653 129.856408 \nL 137.604255 133.247565 \nL 138.83259 136.566476 \nL 139.783253 139.80154 \nL 140.476827 142.943119 \nL 140.932216 145.983075 \nL 141.166289 148.914396 \nL 141.193713 151.730843 \nL 141.026908 154.426721 \nL 140.676105 156.996589 \nL 140.149452 159.435104 \nL 139.45317 161.736786 \nL 138.591748 163.895883 \nL 137.568125 165.906192 \nL 136.383895 167.760939 \nL 135.03952 169.452612 \nL 133.534538 170.972856 \nL 131.867797 172.31234 \nL 130.037678 173.460649 \nL 128.042346 174.406197 \nL 125.880042 175.136156 \nL 123.549376 175.636417 \nL 121.049675 175.891592 \nL 118.381378 175.885083 \nL 115.546483 175.599217 \nL 112.549051 175.015483 \nL 109.395772 174.114913 \nL 106.096582 172.878571 \nL 102.665364 171.288289 \nL 99.120639 169.32755 \nL 95.486318 166.982656 \nL 91.792409 164.244092 \nL 88.075655 161.108177 \nL 84.379995 157.578864 \nL 80.756868 153.669683 \nL 77.265074 149.405681 \nL 73.970261 144.825163 \nL 70.943803 139.981053 \nL 68.261063 134.941509 \nL 65.998845 129.789668 \nL 64.232247 124.62211 \nL 63.030759 119.545952 \nL 62.454037 114.674592 \nL 62.547538 110.122237 \nL 63.338445 105.997651 \nL 64.832369 102.3977 \nL 67.011308 99.401487 \nL 69.83319 97.065733 \nL 73.233224 95.422076 \nL 77.12705 94.476501 \nL 81.415343 94.210974 \nL 85.989506 94.586862 \nL 90.737786 95.549585 \nL 95.5511 97.033822 \nL 100.32822 98.968619 \nL 104.979701 101.281786 \nL 109.430492 103.903474 \nL 113.621165 106.768675 \nL 117.507931 109.818678 \nL 121.061647 113.001805 \nL 124.26615 116.273415 \nL 127.116197 119.595543 \nL 129.615231 122.936264 \nL 131.773222 126.268984 \nL 133.604654 129.571592 \nL 135.126811 132.825794 \nL 136.358332 136.016378 \nL 137.318102 139.130653 \nL 138.024387 142.157932 \nL 138.49425 145.089068 \nL 138.74316 147.916094 \nL 138.784751 150.631894 \nL 138.630752 153.229931 \nL 138.290977 155.704011 \nL 137.773396 158.048046 \nL 137.084262 160.255896 \nL 136.228253 162.321188 \nL 135.208661 164.237161 \nL 134.027572 165.996528 \nL 132.686076 167.591343 \nL 131.18446 169.012881 \nL 129.52246 170.25154 \nL 127.699479 171.296754 \nL 125.71485 172.13691 \nL 123.568126 172.759323 \nL 121.259405 173.150247 \nL 118.789664 173.294904 \nL 116.161168 173.177605 \nL 113.377916 172.781965 \nL 110.446121 172.091176 \nL 107.37477 171.088458 \nL 104.176205 169.757637 \nL 100.866725 168.083889 \nL 97.467246 166.05468 \nL 94.003909 163.660924 \nL 90.508624 160.898307 \nL 87.019534 157.768819 \nL 83.581269 154.28235 \nL 80.244976 150.458372 \nL 77.067919 146.327461 \nL 74.11271 141.932577 \nL 71.445979 137.329798 \nL 69.136407 132.588415 \nL 67.252237 127.790039 \nL 65.858165 123.026641 \nL 65.011823 118.397404 \nL 64.76005 114.004564 \nL 65.135318 109.948381 \nL 66.152517 106.321712 \nL 67.806708 103.204711 \nL 70.07198 100.660327 \nL 72.901798 98.731009 \nL 76.230816 97.437123 \nL 79.978118 96.777154 \nL 84.051575 96.729635 \nL 88.352802 97.256328 \nL 92.782377 98.306361 \nL 97.244639 99.82056 \nL 101.651772 101.735578 \nL 105.926853 103.987526 \nL 110.00577 106.514734 \nL 113.838019 109.259746 \nL 117.386518 112.170517 \nL 120.626655 115.200904 \nL 123.544824 118.310762 \nL 126.13664 121.465605 \nL 128.405049 124.63611 \nL 130.358512 127.797523 \nL 132.009333 130.929014 \nL 133.372196 134.013055 \nL 134.462968 137.034854 \nL 135.297752 139.981857 \nL 135.892164 142.843269 \nL 136.260819 145.609709 \nL 136.416996 148.272823 \nL 136.372443 150.825032 \nL 136.137286 153.259246 \nL 135.720038 155.568671 \nL 135.127653 157.746579 \nL 134.36564 159.786155 \nL 133.438203 161.680345 \nL 132.348407 163.421685 \nL 131.09836 165.0022 \nL 129.689412 166.413283 \nL 128.122367 167.645603 \nL 126.397711 168.689018 \nL 124.515876 169.53252 \nL 122.477504 170.16423 \nL 120.283753 170.571389 \nL 117.936631 170.740426 \nL 115.439366 170.657097 \nL 112.796822 170.306666 \nL 110.015943 169.674219 \nL 107.10624 168.745064 \nL 104.080326 167.505274 \nL 100.954445 165.942377 \nL 97.749013 164.046224 \nL 94.489153 161.809987 \nL 91.205135 159.23134 \nL 87.932719 156.313774 \nL 84.713366 153.067989 \nL 81.594117 149.513254 \nL 78.627257 145.678684 \nL 75.869543 141.604276 \nL 73.380973 137.341426 \nL 71.22308 132.952935 \nL 69.456716 128.512167 \nL 68.139358 124.101333 \nL 67.322164 119.808848 \nL 67.046757 115.725729 \nL 67.342179 111.941453 \nL 68.222249 108.539336 \nL 69.683583 105.592128 \nL 71.70458 103.158105 \nL 74.245658 101.278174 \nL 77.250661 99.974336 \nL 80.649479 99.24955 \nL 84.361594 99.089122 \nL 88.300255 99.463101 \nL 92.376843 100.3296 \nL 96.505044 101.638345 \nL 100.604482 103.334264 \nL 104.603534 105.360611 \nL 108.441215 107.661605 \nL 112.068159 110.184301 \nL 115.446714 112.879899 \nL 118.550373 115.704437 \nL 121.362651 118.618997 \nL 123.8757 121.589624 \nL 126.088722 124.587023 \nL 128.00641 127.586057 \nL 129.637469 130.565286 \nL 130.99329 133.506427 \nL 132.086825 136.393861 \nL 132.931689 139.214146 \nL 133.541424 141.955655 \nL 133.92899 144.608136 \nL 134.106398 147.162471 \nL 134.084457 149.610324 \nL 133.872675 151.943931 \nL 133.479205 154.155856 \nL 132.910881 156.238828 \nL 132.17329 158.185547 \nL 131.27089 159.988528 \nL 130.207159 161.639989 \nL 128.984761 163.131709 \nL 127.605734 164.454951 \nL 126.071698 165.600356 \nL 124.384071 166.557906 \nL 122.544338 167.31688 \nL 120.554292 167.865854 \nL 118.416365 168.192743 \nL 116.133918 168.284906 \nL 113.711627 168.129296 \nL 111.155864 167.712684 \nL 108.475113 167.022011 \nL 105.680423 166.044797 \nL 102.785877 164.769708 \nL 99.809058 163.187237 \nL 96.771494 161.290532 \nL 93.699083 159.076344 \nL 90.622422 156.546096 \nL 87.57698 153.707054 \nL 84.603156 150.573469 \nL 81.746039 147.167712 \nL 79.054896 143.52123 \nL 76.582276 139.675176 \nL 74.382768 135.680662 \nL 72.51129 131.598374 \nL 71.020984 127.497507 \nL 69.960837 123.453947 \nL 69.373009 119.547724 \nL 69.290206 115.859727 \nL 69.733183 112.468051 \nL 70.708708 109.444139 \nL 72.208185 106.849169 \nL 74.207184 104.731041 \nL 76.665935 103.122227 \nL 79.530882 102.038783 \nL 82.737125 101.480547 \nL 86.211569 101.432428 \nL 89.876535 101.866604 \nL 93.653422 102.745289 \nL 97.466157 104.023731 \nL 101.244153 105.653129 \nL 104.924597 107.583237 \nL 108.453945 109.764547 \nL 111.788668 112.149824 \nL 114.895317 114.695244 \nL 117.750003 117.360989 \nL 120.337482 120.111508 \nL 122.649966 122.915435 \nL 124.685814 125.745399 \nL 126.44822 128.577652 \nL 127.943939 131.391667 \nL 129.182189 134.169721 \nL 130.173684 136.896454 \nL 130.929836 139.558504 \nL 131.462132 142.14411 \nL 131.781678 144.642801 \nL 131.898841 147.045138 \nL 131.82307 149.342417 \nL 131.562752 151.526446 \nL 131.125178 153.589366 \nL 130.516561 155.523455 \nL 129.74212 157.320977 \nL 128.806162 158.974053 \nL 127.712238 160.474538 \nL 126.4633 161.813913 \nL 125.061865 162.983214 \nL 123.510255 163.972976 \nL 121.810792 164.773191 \nL 119.966055 165.373331 \nL 117.97916 165.762366 \nL 115.854037 165.928868 \nL 113.595767 165.861133 \nL 111.210929 165.547412 \nL 108.707971 164.976184 \nL 106.097589 164.136553 \nL 103.393152 163.018724 \nL 100.611101 161.61458 \nL 97.771323 159.918415 \nL 94.897507 157.927714 \nL 92.017428 155.644087 \nL 89.163082 153.074212 \nL 86.370726 150.230849 \nL 83.680673 147.13375 \nL 81.136863 143.810477 \nL 78.786123 140.296963 \nL 76.6771 136.637728 \nL 74.85886 132.88565 \nL 73.379164 129.101115 \nL 72.28243 125.350631 \nL 71.607529 121.704742 \nL 71.385554 118.235462 \nL 71.637649 115.013198 \nL 72.373208 112.103586 \nL 73.588554 109.564369 \nL 75.266319 107.442629 \nL 77.375634 105.772786 \nL 79.873112 104.575329 \nL 82.70471 103.856595 \nL 85.808155 103.609484 \nL 89.115884 103.814938 \nL 92.558136 104.444044 \nL 96.065958 105.460462 \nL 99.573925 106.822874 \nL 103.022343 108.487373 \nL 106.358869 110.409452 \nL 109.539496 112.545655 \nL 112.528895 114.854719 \nL 115.300287 117.29842 \nL 117.834858 119.841932 \nL 120.120885 122.454051 \nL 122.152726 125.10705 \nL 123.929681 127.776557 \nL 125.454917 130.441198 \nL 126.734447 133.082311 \nL 127.776208 135.683538 \nL 128.589298 138.230539 \nL 129.183351 140.710623 \nL 129.568019 143.112449 \nL 129.752633 145.42578 \nL 129.745918 147.641209 \nL 129.555842 149.749944 \nL 129.189532 151.743609 \nL 128.653248 153.614087 \nL 127.952434 155.353348 \nL 127.091766 156.953329 \nL 126.075291 158.405818 \nL 124.906544 159.702356 \nL 123.588725 160.834177 \nL 122.124872 161.79215 \nL 120.518079 162.566752 \nL 118.77172 163.148108 \nL 116.889705 163.525999 \nL 114.876746 163.689979 \nL 112.738664 163.629531 \nL 110.482684 163.334239 \nL 108.117789 162.794105 \nL 105.655054 161.99988 \nL 103.108005 160.943536 \nL 100.49296 159.618781 \nL 97.829346 158.021703 \nL 95.139974 156.151485 \nL 92.451243 154.011192 \nL 89.793236 151.608583 \nL 87.199669 148.95694 \nL 84.707676 146.075824 \nL 82.357354 142.991702 \nL 80.191058 139.738358 \nL 78.252455 136.356974 \nL 76.585223 132.895846 \nL 75.231551 129.409595 \nL 74.230398 125.9579 \nL 73.615611 122.603711 \nL 73.414001 119.410986 \nL 73.64362 116.442173 \nL 74.31218 113.755531 \nL 75.416053 111.402478 \nL 76.939737 109.425355 \nL 78.856029 107.855649 \nL 81.126884 106.712922 \nL 83.704938 106.004549 \nL 86.535515 105.726207 \nL 89.559114 105.863013 \nL 92.713958 106.391219 \nL 95.938583 107.280155 \nL 99.174149 108.494311 \nL 102.366402 109.995301 \nL 105.467129 111.743661 \nL 108.435107 113.700296 \nL 111.236537 115.82757 \nL 113.845036 118.09015 \nL 116.241243 120.455417 \nL 118.412188 122.893734 \nL 120.350451 125.378467 \nL 122.053254 127.885868 \nL 123.521536 130.394892 \nL 124.759067 132.886945 \nL 125.771647 135.345559 \nL 126.56641 137.75615 \nL 127.151233 140.105699 \nL 127.534276 142.382497 \nL 127.723617 144.575925 \nL 127.726992 146.676182 \nL 127.551622 148.6741 \nL 127.20412 150.56099 \nL 126.690448 152.328441 \nL 126.015932 153.968199 \nL 125.185316 155.472051 \nL 124.202871 156.831716 \nL 123.072491 158.038763 \nL 121.797872 159.08457 \nL 120.382661 159.96027 \nL 118.830657 160.656757 \nL 117.146031 161.164707 \nL 115.333553 161.474653 \nL 113.398855 161.577086 \nL 111.348696 161.462616 \nL 109.191245 161.122197 \nL 106.936384 160.547405 \nL 104.596026 159.730798 \nL 102.184384 158.666343 \nL 99.71829 157.34993 \nL 97.217408 155.779938 \nL 94.704446 153.957893 \nL 92.205295 151.889139 \nL 89.748985 149.583538 \nL 87.367609 147.056125 \nL 85.095996 144.327696 \nL 82.971208 141.42524 \nL 81.031827 138.382149 \nL 79.317028 135.238102 \nL 77.865332 132.038712 \nL 76.713298 128.834592 \nL 75.893925 125.680145 \nL 75.435076 122.631914 \nL 75.357885 119.746566 \nL 75.675345 117.078695 \nL 76.391151 114.678614 \nL 77.498953 112.590175 \nL 78.982091 110.848999 \nL 80.813937 109.481094 \nL 82.958721 108.502122 \nL 85.372968 107.917277 \nL 88.007275 107.721774 \nL 90.808403 107.901846 \nL 93.721471 108.4362 \nL 96.692075 109.297601 \nL 99.668248 110.454641 \nL 102.602031 111.87335 \nL 105.450707 113.518711 \nL 108.177557 115.355839 \nL 110.752241 117.350983 \nL 113.150782 119.472164 \nL 115.355275 121.689665 \nL 117.353339 123.97621 \nL 119.137453 126.30707 \nL 120.704191 128.659973 \nL 122.053453 131.014974 \nL 123.187714 133.354273 \nL 124.111344 135.661946 \nL 124.830014 137.923736 \nL 125.350183 140.126801 \nL 125.67869 142.2595 \nL 125.822433 144.311174 \nL 125.788141 146.27194 \nL 125.582209 148.132521 \nL 125.210612 149.884085 \nL 124.678866 151.518097 \nL 123.992036 153.026209 \nL 123.154788 154.400146 \nL 122.171487 155.631641 \nL 121.0463 156.712352 \nL 119.783328 157.633833 \nL 118.38679 158.387524 \nL 116.861195 158.964763 \nL 115.211537 159.356845 \nL 113.443529 159.555102 \nL 111.563838 159.551033 \nL 109.580328 159.3365 \nL 107.502315 158.90396 \nL 105.340843 158.246752 \nL 103.108934 157.359472 \nL 100.821828 156.238379 \nL 98.497215 154.88189 \nL 96.155384 153.291116 \nL 93.819339 151.470414 \nL 91.514833 149.427989 \nL 89.270267 147.176443 \nL 87.116439 144.733287 \nL 85.086192 142.121318 \nL 83.213801 139.368863 \nL 81.534237 136.509729 \nL 80.08221 133.582982 \nL 78.891012 130.632298 \nL 77.991297 127.705033 \nL 77.409683 124.850942 \nL 77.16743 122.120611 \nL 77.279176 119.563659 \nL 77.751865 117.226855 \nL 78.583929 115.152267 \nL 79.764945 113.375621 \nL 81.275626 111.924905 \nL 83.088352 110.819487 \nL 85.16812 110.069715 \nL 87.47388 109.677006 \nL 89.960203 109.634434 \nL 92.579065 109.927675 \nL 95.281694 110.536293 \nL 98.020316 111.435126 \nL 100.749699 112.595683 \nL 103.428402 113.987511 \nL 106.019692 115.579368 \nL 108.492099 117.340242 \nL 110.819643 119.240088 \nL 112.981796 121.250377 \nL 114.963172 123.344473 \nL 116.753062 125.497783 \nL 118.344863 127.687871 \nL 119.735425 129.894358 \nL 120.92443 132.098841 \nL 121.913761 134.28473 \nL 122.706943 136.437059 \nL 123.308645 138.542278 \nL 123.724264 140.588063 \nL 123.959578 142.563155 \nL 124.020493 144.457127 \nL 123.912847 146.260244 \nL 123.642278 147.963334 \nL 123.214162 149.557604 \nL 122.633574 151.034561 \nL 121.905319 152.385897 \nL 121.033988 153.603413 \nL 120.024039 154.678964 \nL 118.879902 155.604412 \nL 117.606129 156.371606 \nL 116.207549 156.97242 \nL 114.689428 157.398772 \nL 113.05768 157.642721 \nL 111.319062 157.696558 \nL 109.481396 157.552998 \nL 107.553788 157.205375 \nL 105.546858 156.647882 \nL 103.472969 155.875911 \nL 101.346416 154.886395 \nL 99.183612 153.67823 \nL 97.003243 152.252725 \nL 94.826336 150.614071 \nL 92.676282 148.769847 \nL 90.578735 146.731485 \nL 88.561414 144.514665 \nL 86.653777 142.139666 \nL 84.886509 139.631542 \nL 83.290914 137.020118 \nL 81.898077 134.339788 \nL 80.737923 131.629004 \nL 79.838168 128.929535 \nL 79.223157 126.28541 \nL 78.912748 123.741626 \nL 78.9212 121.342703 \nL 79.256253 119.131078 \nL 79.918394 117.145557 \nL 80.900446 115.419825 \nL 82.187518 113.981254 \nL 83.75732 112.850005 \nL 85.580841 112.038509 \nL 87.623419 111.551416 \nL 89.846016 111.385889 \nL 92.206725 111.532291 \nL 94.662306 111.975137 \nL 97.169733 112.69417 \nL 99.687538 113.665604 \nL 102.177022 114.863238 \nL 104.603154 116.259552 \nL 106.935202 117.826627 \nL 109.147087 119.536928 \nL 111.217455 121.363846 \nL 113.129556 123.282149 \nL 114.870945 125.268215 \nL 116.43305 127.300178 \nL 117.810656 129.357973 \nL 119.001398 131.423251 \nL 120.005195 133.479314 \nL 120.823781 135.510991 \nL 121.460227 137.504459 \nL 121.918551 139.447081 \nL 122.203386 141.327271 \nL 122.319713 143.134314 \nL 122.272666 144.858206 \nL 122.067365 146.489539 \nL 121.708845 148.01938 \nL 121.202005 149.439146 \nL 120.551603 150.74053 \nL 119.762282 151.915414 \nL 118.838646 152.955816 \nL 117.785336 153.853871 \nL 116.607155 154.601804 \nL 115.3092 155.191938 \nL 113.897009 155.616769 \nL 112.37673 155.869 \nL 110.7553 155.941683 \nL 109.040641 155.828337 \nL 107.241847 155.523169 \nL 105.369373 155.021271 \nL 103.435224 154.318923 \nL 101.453139 153.413895 \nL 99.438721 152.305806 \nL 97.409545 150.996516 \nL 95.385221 149.49053 \nL 93.387381 147.795408 \nL 91.439578 145.922143 \nL 89.567089 143.885504 \nL 87.796601 141.70429 \nL 86.155793 139.401443 \nL 84.672723 137.004047 \nL 83.375176 134.543115 \nL 82.289801 132.053121 \nL 81.441242 129.571387 \nL 80.851128 127.137173 \nL 80.53715 124.790582 \nL 80.512126 122.57135 \nL 80.783176 120.517481 \nL 81.351174 118.663954 \nL 82.210334 117.04144 \nL 83.348149 115.675307 \nL 84.745635 114.584775 \nL 86.377894 113.782426 \nL 88.214943 113.274108 \nL 90.222762 113.059098 \nL 92.36455 113.130568 \nL 94.602037 113.476344 \nL 96.896768 114.079824 \nL 99.2113 114.920886 \nL 101.510276 115.976917 \nL 103.761247 117.223761 \nL 105.935299 118.636527 \nL 108.007428 120.190284 \nL 109.9567 121.860631 \nL 111.766221 123.624136 \nL 113.42293 125.458606 \nL 114.917307 127.34324 \nL 116.242955 129.258763 \nL 117.39618 131.187372 \nL 118.375542 133.112723 \nL 119.181426 135.019835 \nL 119.815631 136.894968 \nL 120.28101 138.725498 \nL 120.581173 140.499785 \nL 120.720233 142.207033 \nL 120.702596 143.837194 \nL 120.532833 145.380782 \nL 120.215563 146.828854 \nL 119.755406 148.17283 \nL 119.156967 149.404468 \nL 118.424851 150.515788 \nL 117.563707 151.499006 \nL 116.578314 152.346543 \nL 115.473658 153.050984 \nL 114.255059 153.605117 \nL 112.928301 154.001977 \nL 111.499781 154.234919 \nL 109.976657 154.297712 \nL 108.367009 154.184701 \nL 106.68002 153.890956 \nL 104.926128 153.412505 \nL 103.117176 152.746566 \nL 101.266555 151.891845 \nL 99.389315 150.848839 \nL 97.502248 149.620159 \nL 95.623875 148.210902 \nL 93.774455 146.628949 \nL 91.975851 144.885319 \nL 90.251297 142.994401 \nL 88.625155 140.974134 \nL 87.122449 138.846082 \nL 85.768368 136.63537 \nL 84.587634 134.370445 \nL 83.603803 132.082674 \nL 82.838445 129.805767 \nL 82.310361 127.574934 \nL 82.034721 125.426 \nL 82.02233 123.394309 \nL 82.278967 121.513615 \nL 82.804902 119.814969 \nL 83.594612 118.325675 \nL 84.636709 117.068376 \nL 85.914212 116.060437 \nL 87.404965 115.313473 \nL 89.082399 114.833263 \nL 90.916414 114.619821 \nL 92.87439 114.667845 \nL 94.922336 114.967274 \nL 97.025961 115.504 \nL 99.151712 116.260697 \nL 101.267688 117.217654 \nL 103.344369 118.353538 \nL 105.355188 119.64617 \nL 107.276893 121.073114 \nL 109.089726 122.612189 \nL 110.77743 124.241887 \nL 112.327139 125.94161 \nL 113.729128 127.691933 \nL 114.97651 129.474631 \nL 116.064886 131.272759 \nL 116.991974 133.070642 \nL 117.757244 134.853776 \nL 118.361567 136.608775 \nL 118.806907 138.323274 \nL 119.096036 139.985824 \nL 119.23233 141.585764 \nL 119.219555 143.113131 \nL 119.061759 144.558559 \nL 118.763157 145.913187 \nL 118.328072 147.168571 \nL 117.760925 148.316628 \nL 117.066238 149.349567 \nL 116.248669 150.259877 \nL 115.313076 151.040293 \nL 114.264594 151.683808 \nL 113.108739 152.183688 \nL 111.851524 152.53354 \nL 110.499587 152.727373 \nL 109.060311 152.7597 \nL 107.541976 152.625682 \nL 105.953904 152.321291 \nL 104.306575 151.843501 \nL 102.611767 151.190526 \nL 100.882651 150.362052 \nL 99.133875 149.359532 \nL 97.381584 148.186461 \nL 95.643443 146.848661 \nL 93.938544 145.354569 \nL 92.287271 143.715438 \nL 90.711109 141.945581 \nL 89.232318 140.062447 \nL 87.873539 138.086618 \nL 86.657327 136.041746 \nL 85.605573 133.954249 \nL 84.738866 131.852929 \nL 84.07582 129.768403 \nL 83.632357 127.732391 \nL 83.421042 125.776887 \nL 83.450432 123.933257 \nL 83.724584 122.231258 \nL 84.242661 120.698112 \nL 84.998741 119.357633 \nL 85.981833 118.229546 \nL 87.176085 117.3289 \nL 88.561258 116.665729 \nL 90.113321 116.244993 \nL 91.805227 116.06668 \nL 93.607838 116.126113 \nL 95.490811 116.414474 \nL 97.423559 116.919356 \nL 99.376128 117.625508 \nL 101.319958 118.51548 \nL 103.228509 119.570325 \nL 105.077759 120.770181 \nL 106.84652 122.094861 \nL 108.516621 123.524258 \nL 110.07292 125.038743 \nL 111.503229 126.619395 \nL 112.798135 128.248207 \nL 113.950762 129.908194 \nL 114.956466 131.583421 \nL 115.812543 133.259043 \nL 116.517909 134.921239 \nL 117.072827 136.557166 \nL 117.478618 138.154912 \nL 117.737438 139.70338 \nL 117.852077 141.192196 \nL 117.825784 142.611656 \nL 117.662168 143.952626 \nL 117.365088 145.206435 \nL 116.93861 146.364893 \nL 116.386985 147.42014 \nL 115.714647 148.364686 \nL 114.926254 149.19134 \nL 114.026728 149.893225 \nL 113.021345 150.463784 \nL 111.915799 150.896815 \nL 110.716315 151.186525 \nL 109.429763 151.327611 \nL 108.063754 151.315356 \nL 106.626768 151.145774 \nL 105.128278 150.815749 \nL 103.578841 150.323236 \nL 101.9902 149.66746 \nL 100.37535 148.849135 \nL 98.74858 147.870701 \nL 97.125502 146.736583 \nL 95.522983 145.453397 \nL 93.959065 144.030202 \nL 92.45279 142.478626 \nL 91.024007 140.813037 \nL 89.693034 139.050568 \nL 88.480284 137.211055 \nL 87.40584 135.316906 \nL 86.48892 133.392823 \nL 85.747293 131.465345 \nL 85.196713 129.562377 \nL 84.85033 127.712489 \nL 84.718082 125.944227 \nL 84.806244 124.285276 \nL 85.117003 122.761659 \nL 85.64819 121.396957 \nL 86.393183 120.211631 \nL 87.340961 119.222422 \nL 88.476374 118.441911 \nL 89.780525 117.878317 \nL 91.231355 117.535404 \nL 92.804327 117.412652 \nL 94.473193 117.505496 \nL 96.21079 117.805798 \nL 97.989816 118.302324 \nL 99.783587 118.981349 \nL 101.566655 119.827196 \nL 103.315353 120.822853 \nL 105.008202 121.950477 \nL 106.626179 123.191841 \nL 108.152868 124.528735 \nL 109.574483 125.943287 \nL 110.87981 127.418186 \nL 112.060072 128.936855 \nL 113.108709 130.483565 \nL 114.021155 132.04347 \nL 114.79459 133.602652 \nL 115.427671 135.14808 \nL 115.920297 136.667581 \nL 116.273376 138.149786 \nL 116.488636 139.584077 \nL 116.568438 140.960502 \nL 116.515653 142.26971 \nL 116.333543 143.502896 \nL 116.025697 144.651716 \nL 115.595971 145.708278 \nL 115.048489 146.665086 \nL 114.387632 147.514981 \nL 113.618063 148.25119 \nL 112.744786 148.867278 \nL 111.773204 149.357207 \nL 110.709191 149.715347 \nL 109.55918 149.936552 \nL 108.330247 150.016242 \nL 107.030225 149.950511 \nL 105.66779 149.736244 \nL 104.252545 149.371282 \nL 102.795112 148.85456 \nL 101.307188 148.186332 \nL 99.801594 147.368334 \nL 98.292279 146.404016 \nL 96.7943 145.298707 \nL 95.323766 144.059851 \nL 93.897677 142.697112 \nL 92.533803 141.222513 \nL 91.250407 139.650517 \nL 90.065939 137.997973 \nL 88.998692 136.284059 \nL 88.066376 134.530056 \nL 87.285653 132.759068 \nL 86.671604 130.995577 \nL 86.237263 129.264979 \nL 85.993095 127.592969 \nL 85.946549 126.004874 \nL 86.101671 124.524972 \nL 86.458791 123.175837 \nL 87.014389 121.977644 \nL 87.761045 120.947649 \nL 88.687554 120.09973 \nL 89.779182 119.44407 \nL 91.018094 118.986966 \nL 92.383855 118.730885 \nL 93.854059 118.674559 \nL 95.404945 118.81326 \nL 97.012141 119.139202 \nL 98.651286 119.641944 \nL 100.298635 120.308919 \nL 101.931609 121.125895 \nL 103.529231 122.07744 \nL 105.072453 123.147429 \nL 106.544378 124.319355 \nL 107.930373 125.576696 \nL 109.218097 126.903188 \nL 110.39745 128.283035 \nL 111.460442 129.701009 \nL 112.401043 131.14262 \nL 113.214975 132.594113 \nL 113.899509 134.042526 \nL 114.45325 135.475658 \nL 114.875925 136.882072 \nL 115.168219 138.251041 \nL 115.331579 139.57249 \nL 115.368093 140.83696 \nL 115.280359 142.035535 \nL 115.071407 143.159819 \nL 114.744635 144.201877 \nL 114.303769 145.154213 \nL 113.752848 146.009725 \nL 113.096236 146.761706 \nL 112.33864 147.40383 \nL 111.485149 147.930182 \nL 110.541309 148.33529 \nL 109.513164 148.614156 \nL 108.407341 148.762337 \nL 107.231125 148.776016 \nL 105.992539 148.652119 \nL 104.700414 148.388439 \nL 103.364462 147.983761 \nL 101.995335 147.438031 \nL 100.604648 146.752504 \nL 99.204998 145.92994 \nL 97.809963 144.974741 \nL 96.434009 143.893138 \nL 95.092445 142.693309 \nL 93.801249 141.385491 \nL 92.576877 139.982048 \nL 91.436028 138.497485 \nL 90.395322 136.948349 \nL 89.470991 135.353125 \nL 88.678451 133.732001 \nL 88.031909 132.106515 \nL 87.543894 130.4992 \nL 87.224868 128.933066 \nL 87.082788 127.431081 \nL 87.12275 126.015602 \nL 87.346719 124.707743 \nL 87.753313 123.526848 \nL 88.337718 122.489956 \nL 89.091755 121.611353 \nL 90.003997 120.902243 \nL 91.060079 120.37052 \nL 92.243069 120.020682 \nL 93.533954 119.853873 \nL 94.912193 119.868023 \nL 96.356254 120.058127 \nL 97.844245 120.416553 \nL 99.35442 120.933459 \nL 100.865709 121.597162 \nL 102.35815 122.394604 \nL 103.813235 123.311716 \nL 105.214183 124.333818 \nL 107.796118 126.632999 \nL 110.008693 129.173239 \nL 111.787379 131.841301 \nL 113.094729 134.533178 \nL 113.915157 137.155384 \nL 114.249549 139.624822 \nL 114.238097 140.778904 \nL 114.110635 141.867841 \nL 113.870046 142.883727 \nL 113.519626 143.819078 \nL 113.063024 144.666847 \nL 112.504255 145.420409 \nL 111.847706 146.073548 \nL 111.098152 146.62047 \nL 110.260797 147.055832 \nL 109.341329 147.374775 \nL 108.345958 147.572983 \nL 107.281493 147.64675 \nL 106.155397 147.593062 \nL 104.975855 147.409705 \nL 103.751823 147.095384 \nL 102.493062 146.649846 \nL 101.210196 146.074011 \nL 98.618871 144.541901 \nL 96.079457 142.535402 \nL 93.704811 140.118172 \nL 91.614539 137.383425 \nL 90.71355 135.934112 \nL 89.927788 134.453283 \nL 89.270471 132.959968 \nL 88.753444 131.474178 \nL 88.386851 130.016496 \nL 88.178735 128.607669 \nL 88.134727 127.268076 \nL 88.257794 126.017251 \nL 88.548003 124.873393 \nL 89.002436 123.852872 \nL 89.615172 122.969825 \nL 90.377369 122.235838 \nL 91.277463 121.659676 \nL 92.301461 121.247147 \nL 93.433275 121.001098 \nL 94.655216 120.92145 \nL 95.948435 121.005365 \nL 97.293432 121.247528 \nL 98.670533 121.640401 \nL 100.060375 122.174578 \nL 101.444294 122.83914 \nL 102.804696 123.622009 \nL 105.391489 125.490517 \nL 107.710042 127.672249 \nL 109.677063 130.058794 \nL 111.23606 132.546621 \nL 112.354186 135.040105 \nL 113.017893 137.452741 \nL 113.228469 139.707183 \nL 113.167349 140.753263 \nL 112.998281 141.734593 \nL 112.724095 142.643785 \nL 112.348044 143.473861 \nL 111.873771 144.21829 \nL 111.305315 144.870978 \nL 110.647118 145.426243 \nL 109.904056 145.878876 \nL 109.081449 146.224162 \nL 108.185133 146.457887 \nL 107.221482 146.576467 \nL 106.197465 146.576958 \nL 105.120692 146.457178 \nL 103.999459 146.215778 \nL 101.660423 145.367655 \nL 99.261445 144.043043 \nL 96.895212 142.273282 \nL 94.66429 140.113905 \nL 92.677322 137.646662 \nL 91.042923 134.979063 \nL 90.389866 133.609945 \nL 89.861402 132.240717 \nL 89.467159 130.88981 \nL 89.215026 129.575899 \nL 89.110827 128.317509 \nL 89.158093 127.132565 \nL 89.357864 126.037985 \nL 89.708585 125.049225 \nL 90.206015 124.17996 \nL 90.843307 123.441692 \nL 91.611155 122.84357 \nL 92.497955 122.392191 \nL 93.490131 122.091521 \nL 94.572471 121.942925 \nL 95.728531 121.945242 \nL 96.941058 122.094984 \nL 98.192389 122.386534 \nL 99.464912 122.812436 \nL 102.005367 124.029918 \nL 104.435161 125.662042 \nL 106.646394 127.612462 \nL 108.554653 129.781571 \nL 110.09965 132.072082 \nL 111.24333 134.392501 \nL 111.966528 136.658952 \nL 112.265246 138.795714 \nL 112.147247 140.735051 \nL 111.936952 141.611596 \nL 111.629422 142.416767 \nL 111.227925 143.144156 \nL 110.736145 143.787766 \nL 110.158188 144.342077 \nL 109.498585 144.801989 \nL 108.762317 145.162924 \nL 107.954843 145.420804 \nL 107.08213 145.572141 \nL 106.1507 145.614085 \nL 104.140673 145.361984 \nL 101.989092 144.657332 \nL 99.770711 143.508689 \nL 97.570463 141.943414 \nL 95.481941 140.010511 \nL 93.604104 137.782254 \nL 92.036042 135.353929 \nL 90.869926 132.840816 \nL 90.462457 131.592499 \nL 90.182625 130.372005 \nL 90.036247 129.196126 \nL 90.027134 128.081235 \nL 90.15695 127.042938 \nL 90.425072 126.095687 \nL 90.828544 125.252457 \nL 91.362075 124.524441 \nL 92.018118 123.920798 \nL 92.787055 123.448522 \nL 93.657399 123.112301 \nL 94.61608 122.914495 \nL 95.648763 122.855211 \nL 96.740236 122.932379 \nL 97.874735 123.141936 \nL 99.036338 123.478047 \nL 101.378287 124.499141 \nL 103.64742 125.922744 \nL 105.740313 127.663498 \nL 107.57338 129.630643 \nL 109.084425 131.733585 \nL 110.231786 133.885655 \nL 110.991911 136.006277 \nL 111.356321 138.021991 \nL 111.328637 139.866671 \nL 110.92214 141.481375 \nL 110.158081 142.814152 \nL 109.650561 143.360488 \nL 109.064833 143.820059 \nL 108.405537 144.188396 \nL 107.677768 144.461557 \nL 106.88711 144.636163 \nL 105.142039 144.679279 \nL 103.22562 144.304086 \nL 101.202323 143.51008 \nL 99.145886 142.31254 \nL 97.138466 140.745084 \nL 95.268545 138.861609 \nL 93.627231 136.736952 \nL 92.30289 134.465538 \nL 91.374465 132.157565 \nL 90.903965 129.932458 \nL 90.853393 128.888695 \nL 90.92929 127.910091 \nL 91.131698 127.010046 \nL 91.458601 126.200758 \nL 91.905896 125.492916 \nL 92.467465 124.895517 \nL 93.135296 124.415648 \nL 93.899642 124.058394 \nL 94.749271 123.826809 \nL 95.671696 123.721887 \nL 96.653514 123.742675 \nL 97.680701 123.886365 \nL 99.813824 124.522968 \nL 101.958106 125.579163 \nL 104.008936 126.985509 \nL 105.876232 128.662604 \nL 107.487897 130.526927 \nL 108.790812 132.495476 \nL 109.749863 134.488889 \nL 110.345885 136.433324 \nL 110.573112 138.261319 \nL 110.43677 139.912146 \nL 109.951147 141.331824 \nL 109.13827 142.47316 \nL 108.027317 143.296038 \nL 106.654529 143.76796 \nL 105.063569 143.865221 \nL 103.306021 143.57442 \nL 101.441799 142.894427 \nL 99.539069 141.838656 \nL 97.673417 140.437149 \nL 95.92593 138.738203 \nL 94.379897 136.808871 \nL 93.116205 134.733778 \nL 92.207493 132.61182 \nL 91.711658 130.550645 \nL 91.665598 128.659087 \nL 91.815731 127.809137 \nL 92.080147 127.038563 \nL 92.455678 126.357479 \nL 92.937343 125.774529 \nL 93.518441 125.296732 \nL 94.190678 124.929377 \nL 94.944365 124.675927 \nL 95.76863 124.538045 \nL 96.651676 124.515594 \nL 98.543791 124.808112 \nL 100.517877 125.520956 \nL 102.473081 126.601905 \nL 104.317492 127.984915 \nL 105.972937 129.596019 \nL 107.377547 131.35827 \nL 108.486307 133.195575 \nL 109.27007 135.035252 \nL 109.713786 136.809689 \nL 109.814397 138.457108 \nL 109.578884 139.922015 \nL 109.022741 141.155351 \nL 108.168984 142.114761 \nL 107.047697 142.765024 \nL 105.695999 143.078861 \nL 104.158276 143.038035 \nL 102.486439 142.634993 \nL 100.739963 141.874629 \nL 98.985416 140.776136 \nL 97.295153 139.374657 \nL 95.744987 137.722153 \nL 94.410688 135.887097 \nL 93.363359 133.952531 \nL 92.664018 132.012294 \nL 92.357908 130.165256 \nL 92.46942 128.508336 \nL 92.682759 127.778997 \nL 92.998439 127.128749 \nL 93.412385 126.565809 \nL 93.918976 126.097009 \nL 94.511133 125.727664 \nL 95.18048 125.461482 \nL 95.917527 125.300563 \nL 97.552441 125.294906 \nL 99.325934 125.696666 \nL 101.144724 126.470689 \nL 102.919121 127.565447 \nL 104.568643 128.918276 \nL 106.025717 130.460255 \nL 107.237544 132.120447 \nL 108.166324 133.82903 \nL 108.788313 135.51947 \nL 109.092298 137.129934 \nL 109.077851 138.604083 \nL 108.753768 139.891481 \nL 108.13688 140.947934 \nL 107.251291 141.735943 \nL 106.128015 142.225244 \nL 104.804958 142.393716 \nL 103.326984 142.228598 \nL 101.74594 141.727954 \nL 100.120347 140.902268 \nL 98.514536 139.775927 \nL 96.996979 138.388228 \nL 95.637656 136.793686 \nL 94.504461 135.061002 \nL 93.658751 133.270535 \nL 93.150399 131.510152 \nL 93.013017 129.869617 \nL 93.259977 128.434126 \nL 93.52559 127.816988 \nL 93.88199 127.277645 \nL 94.324442 126.822654 \nL 94.846876 126.457235 \nL 95.442048 126.185218 \nL 96.816494 125.929465 \nL 98.372135 126.057437 \nL 100.025786 126.550065 \nL 101.693247 127.370435 \nL 103.295075 128.468137 \nL 104.761038 129.783806 \nL 106.032992 131.25328 \nL 107.066156 132.811126 \nL 107.82915 134.39325 \nL 108.303103 135.938829 \nL 108.480336 137.391454 \nL 108.362939 138.699912 \nL 107.961544 139.818675 \nL 107.294355 140.708374 \nL 106.386582 141.336308 \nL 105.270124 141.677164 \nL 103.983494 141.713941 \nL 102.571736 141.439172 \nL 101.086186 140.856221 \nL 99.583874 139.980644 \nL 98.126294 138.841243 \nL 96.777455 137.480563 \nL 95.601089 135.954573 \nL 94.657025 134.331064 \nL 93.997092 132.686712 \nL 93.660687 131.102775 \nL 93.670918 129.659787 \nL 94.031627 128.431632 \nL 94.726076 127.480059 \nL 95.717561 126.850135 \nL 96.952038 126.56735 \nL 98.362439 126.636843 \nL 99.874059 127.044411 \nL 101.410235 127.759218 \nL 102.89757 128.737318 \nL 104.270134 129.92571 \nL 105.472332 131.266053 \nL 106.460384 132.698012 \nL 107.202687 134.161788 \nL 107.679276 135.600059 \nL 107.880841 136.959281 \nL 107.80755 138.190572 \nL 107.46796 139.250324 \nL 106.878133 140.100792 \nL 106.061031 140.710569 \nL 105.046122 141.055323 \nL 103.8692 141.118723 \nL 102.572193 140.893381 \nL 101.202795 140.382064 \nL 99.813838 139.598799 \nL 98.462106 138.569759 \nL 97.206525 137.333588 \nL 96.105618 135.941091 \nL 95.214335 134.453706 \nL 94.580368 132.940939 \nL 94.240346 131.476604 \nL 94.216372 130.134081 \nL 94.513408 128.981267 \nL 95.117994 128.075591 \nL 95.998706 127.459939 \nL 97.108259 127.159937 \nL 98.387132 127.182975 \nL 99.76824 127.5188 \nL 101.181875 128.14169 \nL 102.560426 129.01341 \nL 103.842285 130.086684 \nL 104.974649 131.30861 \nL 105.915119 132.62368 \nL 106.632302 133.976304 \nL 107.105578 135.312653 \nL 107.324392 136.582084 \nL 107.287299 137.738102 \nL 107.001034 138.739116 \nL 106.479674 139.548976 \nL 105.744072 140.137651 \nL 104.821404 140.481819 \nL 103.744889 140.565734 \nL 102.553501 140.382173 \nL 101.291559 139.93337 \nL 100.008018 139.23199 \nL 98.75534 138.301832 \nL 97.587794 137.178094 \nL 96.559186 135.906931 \nL 95.720002 134.544137 \nL 95.114152 133.152813 \nL 94.775618 131.800052 \nL 94.725395 130.552813 \nL 94.969184 129.473404 \nL 95.496189 128.615111 \nL 96.279413 128.018503 \nL 97.277395 127.708904 \nL 98.437257 127.695273 \nL 99.698718 127.970547 \nL 100.998462 128.513339 \nL 102.27435 129.290415 \nL 103.46902 130.259668 \nL 104.532581 131.373196 \nL 105.424288 132.580073 \nL 106.11331 133.828703 \nL 106.578724 135.068718 \nL 106.809058 136.252393 \nL 106.80153 137.335646 \nL 106.561267 138.278904 \nL 106.100565 139.047692 \nL 105.438293 139.613289 \nL 104.599459 139.953422 \nL 103.614845 140.052959 \nL 102.520653 139.904812 \nL 101.358038 139.51074 \nL 100.172369 138.882192 \nL 99.012132 138.04083 \nL 97.927369 137.018728 \nL 96.967579 135.857898 \nL 96.179162 134.609091 \nL 95.602538 133.329681 \nL 95.269216 132.080724 \nL 95.199056 130.923303 \nL 95.398215 129.914614 \nL 95.858046 129.104005 \nL 96.555315 128.529669 \nL 97.453562 128.216309 \nL 98.505754 128.17397 \nL 99.65772 128.398153 \nL 100.851972 128.871138 \nL 102.03149 129.564026 \nL 103.143017 130.439358 \nL 104.139618 131.453799 \nL 104.982376 132.560716 \nL 105.641269 133.712358 \nL 106.095371 134.861724 \nL 106.332581 135.963924 \nL 106.349032 136.977302 \nL 106.148453 137.864302 \nL 105.741514 138.592142 \nL 105.145263 139.13342 \nL 104.382658 139.466887 \nL 103.482184 139.578038 \nL 102.477438 139.459908 \nL 101.406612 139.113873 \nL 100.311745 138.550266 \nL 99.237676 137.788811 \nL 98.230542 136.858763 \nL 97.335923 135.798411 \nL 96.596493 134.653953 \nL 96.049492 133.47761 \nL 95.724087 132.325001 \nL 95.638989 131.251917 \nL 95.800617 130.310799 \nL 96.202105 129.547314 \nL 96.823379 128.997311 \nL 97.632356 128.684646 \nL 98.587127 128.620046 \nL 99.638988 128.801072 \nL 100.735747 129.213097 \nL 101.825154 129.831026 \nL 102.857875 130.621543 \nL 103.789913 131.545512 \nL 104.584272 132.560253 \nL 105.211941 133.621668 \nL 105.652219 134.685973 \nL 105.8926 135.711087 \nL 105.92836 136.657753 \nL 105.76202 137.490404 \nL 105.402794 138.177908 \nL 104.86603 138.694241 \nL 104.172782 139.019107 \nL 103.349363 139.138628 \nL 102.426924 139.046029 \nL 101.44088 138.742292 \nL 100.430182 138.236714 \nL 99.43629 137.547289 \nL 98.501776 136.700706 \nL 97.668622 135.731889 \nL 96.976108 134.682947 \nL 96.458547 133.601452 \nL 96.142945 132.538129 \nL 96.046896 131.54393 \nL 96.176926 130.66699 \nL 96.527617 129.949497 \nL 97.081601 129.424999 \nL 97.810566 129.116396 \nL 98.677166 129.034797 \nL 99.637549 129.179387 \nL 100.644371 129.538154 \nL 101.649779 130.089315 \nL 102.608158 130.80325 \nL 103.478372 131.644626 \nL 104.225416 132.574457 \nL 104.821414 133.552093 \nL 105.246063 134.536817 \nL 105.486657 135.489262 \nL 105.537809 136.3725 \nL 105.40101 137.152944 \nL 105.084148 137.801093 \nL 104.601029 138.292263 \nL 103.97091 138.607109 \nL 103.218078 138.732382 \nL 102.371377 138.661471 \nL 101.463628 138.39503 \nL 100.530909 137.941429 \nL 99.611553 137.317039 \nL 98.343436 136.115615 \nL 97.321714 134.6994 \nL 96.833056 133.705174 \nL 96.528561 132.724485 \nL 96.424721 131.80391 \nL 96.528094 130.987616 \nL 96.834437 130.314575 \nL 97.328706 129.816113 \nL 97.985897 129.514067 \nL 98.772651 129.419737 \nL 99.649502 129.533573 \nL 100.573477 129.845748 \nL 101.500779 130.337394 \nL 102.806821 131.352217 \nL 103.901849 132.599961 \nL 104.690655 133.956171 \nL 105.112493 135.294482 \nL 105.175743 136.117633 \nL 105.064396 136.848171 \nL 104.785172 137.458221 \nL 104.350442 137.924335 \nL 103.7778 138.228181 \nL 103.089624 138.35708 \nL 102.312591 138.304599 \nL 101.477112 138.071092 \nL 100.616586 137.664083 \nL 99.356628 136.762892 \nL 98.241901 135.587354 \nL 97.386495 134.250474 \nL 97.007483 133.335979 \nL 96.805261 132.452578 \nL 96.790935 131.642145 \nL 96.966169 130.943232 \nL 97.322764 130.388676 \nL 97.84302 130.003628 \nL 98.500736 129.804199 \nL 99.262962 129.796743 \nL 100.092124 129.977932 \nL 100.948386 130.335459 \nL 102.197261 131.15666 \nL 103.295435 132.235769 \nL 104.143129 133.462002 \nL 104.670576 134.717952 \nL 104.840461 135.889687 \nL 104.75105 136.572733 \nL 104.505282 137.146087 \nL 104.114225 137.587556 \nL 103.593925 137.879733 \nL 102.964982 138.010541 \nL 102.25205 137.973736 \nL 101.483264 137.769373 \nL 100.293519 137.165307 \nL 99.159084 136.252516 \nL 98.191173 135.115228 \nL 97.489945 133.864731 \nL 97.132057 132.628833 \nL 97.106547 131.877465 \nL 97.255094 131.22599 \nL 97.570793 130.704831 \nL 98.038074 130.337572 \nL 98.633605 130.139711 \nL 99.327802 130.117914 \nL 100.086638 130.270055 \nL 101.266643 130.79957 \nL 102.389291 131.631008 \nL 103.346338 132.674144 \nL 104.052404 133.824218 \nL 104.450464 134.972588 \nL 104.5135 136.015615 \nL 104.36931 136.60658 \nL 104.083954 137.086735 \nL 103.669735 137.437269 \nL 103.143479 137.644113 \nL 102.526095 137.698407 \nL 101.842052 137.597016 \nL 100.751576 137.161082 \nL 99.673888 136.419147 \nL 98.712664 135.438471 \nL 97.964948 134.31337 \nL 97.510097 133.156971 \nL 97.398934 132.089012 \nL 97.524374 131.482234 \nL 97.803836 130.99315 \nL 98.223627 130.643857 \nL 98.762964 130.449145 \nL 99.395229 130.415885 \nL 100.089653 130.542903 \nL 101.175364 131.012916 \nL 102.215122 131.765428 \nL 103.108273 132.718869 \nL 103.774299 133.777244 \nL 104.158364 134.840009 \nL 104.233342 135.810515 \nL 103.999357 136.602832 \nL 103.683351 136.99689 \nL 103.254184 137.264776 \nL 102.729226 137.395516 \nL 101.808975 137.323146 \nL 100.80421 136.933913 \nL 99.807906 136.260709 \nL 98.915801 135.364957 \nL 98.217461 134.332808 \nL 97.786242 133.267699 \nL 97.669556 132.279335 \nL 97.774961 131.714556 \nL 98.02229 131.256115 \nL 98.399493 130.924666 \nL 98.888034 130.73433 \nL 99.463949 130.692031 \nL 100.430065 130.903387 \nL 101.427809 131.415331 \nL 102.356647 132.168825 \nL 103.1282 133.08441 \nL 103.674024 134.071493 \nL 103.949985 135.037283 \nL 103.937682 135.89424 \nL 103.643802 136.566326 \nL 103.305321 136.881473 \nL 102.868602 137.074917 \nL 102.068923 137.120501 \nL 101.161179 136.869 \nL 100.228884 136.341107 \nL 99.360479 135.584328 \nL 98.641551 134.67046 \nL 98.145882 133.689784 \nL 97.926474 132.742097 \nL 98.007916 131.925366 \nL 98.2267 131.496084 \nL 98.565653 131.182192 \nL 99.008212 130.997104 \nL 99.818108 130.974298 \nL 100.72503 131.250813 \nL 101.634952 131.791342 \nL 102.457685 132.535811 \nL 103.11616 133.407463 \nL 103.552854 134.321344 \nL 103.73317 135.192191 \nL 103.646379 135.941228 \nL 103.304805 136.501754 \nL 102.741899 136.823716 \nL 102.009539 136.877451 \nL 101.174503 136.656553 \nL 100.313948 136.179492 \nL 99.509562 135.489549 \nL 98.84037 134.65233 \nL 98.374577 133.750403 \nL 98.161423 132.875167 \nL 98.224318 132.116643 \nL 98.556949 131.552614 \nL 98.911871 131.313422 \nL 99.601147 131.184386 \nL 100.411606 131.335641 \nL 101.258473 131.745485 \nL 102.05646 132.366985 \nL 102.729027 133.134656 \nL 103.215389 133.972201 \nL 103.474861 134.800082 \nL 103.488724 135.542275 \nL 103.26017 136.132014 \nL 102.812968 136.516544 \nL 102.189189 136.660983 \nL 101.446141 136.551291 \nL 100.652385 136.196136 \nL 99.882656 135.627445 \nL 99.211572 134.898706 \nL 98.706342 134.080981 \nL 98.419265 133.256249 \nL 98.381005 132.508671 \nL 98.595987 131.914761 \nL 99.041104 131.534266 \nL 99.668267 131.403158 \nL 100.410502 131.530054 \nL 101.190424 131.896577 \nL 101.929533 132.460893 \nL 102.55671 133.163596 \nL 103.014845 133.934715 \nL 103.265057 134.700695 \nL 103.288749 135.390802 \nL 103.087718 135.942577 \nL 102.683103 136.306456 \nL 102.113272 136.449382 \nL 101.430931 136.357683 \nL 100.69934 136.038802 \nL 99.987511 135.521637 \nL 99.36436 134.85503 \nL 98.892022 134.103977 \nL 98.619008 133.343586 \nL 98.574085 132.651106 \nL 98.762186 132.097123 \nL 99.1631 131.73717 \nL 99.733725 131.605395 \nL 100.41341 131.71108 \nL 101.131507 132.038712 \nL 101.815783 132.550983 \nL 102.563139 133.426574 \nL 103.01431 134.380369 \nL 103.11652 135.051024 \nL 103.008251 135.614604 \nL 102.702374 136.020168 \nL 102.228699 136.230992 \nL 101.631529 136.227584 \nL 100.966353 136.00959 \nL 100.295659 135.596651 \nL 99.503541 134.812146 \nL 98.95374 133.886405 \nL 98.762186 133.197538 \nL 98.784059 132.591142 \nL 99.016985 132.128585 \nL 99.435959 131.855614 \nL 99.996255 131.797217 \nL 100.638911 131.955451 \nL 101.297959 132.310142 \nL 102.089984 133.019129 \nL 102.663219 133.878512 \nL 102.928419 134.74148 \nL 102.901606 135.304965 \nL 102.685724 135.738827 \nL 102.302671 136.003755 \nL 101.7888 136.075511 \nL 101.192116 135.947157 \nL 100.365031 135.487163 \nL 99.630381 134.77027 \nL 99.11598 133.919597 \nL 98.913962 133.085065 \nL 98.992019 132.560225 \nL 99.259402 132.181543 \nL 99.687533 131.985849 \nL 100.231062 131.990198 \nL 100.833396 132.190553 \nL 101.622538 132.719209 \nL 102.27188 133.453523 \nL 102.675736 134.264692 \nL 102.773613 135.016577 \nL 102.638662 135.466811 \nL 102.339929 135.773124 \nL 101.906337 135.907599 \nL 101.3787 135.857748 \nL 100.615287 135.514562 \nL 99.901694 134.910238 \nL 99.360907 134.147938 \nL 99.088632 133.361088 \nL 99.092299 132.839453 \nL 99.275177 132.43547 \nL 99.617719 132.188958 \nL 100.083604 132.122723 \nL 100.624186 132.240513 \nL 101.365464 132.655291 \nL 102.011961 133.289455 \nL 102.456363 134.030162 \nL 102.62971 134.75154 \nL 102.509479 135.334804 \nL 102.239791 135.623505 \nL 101.844187 135.754272 \nL 101.36011 135.715054 \nL 100.656611 135.406724 \nL 99.995924 134.855685 \nL 99.491744 134.156172 \nL 99.232891 133.430486 \nL 99.265588 132.807132 \nL 99.479383 132.474292 \nL 99.831694 132.294071 \nL 100.285457 132.282484 \nL 100.966383 132.524184 \nL 101.62262 133.011959 \nL 102.142142 133.656483 \nL 102.440797 134.345704 \nL 102.474122 134.964137 \nL 102.323119 135.319673 \nL 102.037418 135.545329 \nL 101.644619 135.620465 \nL 101.019615 135.476653 \nL 100.375909 135.0786 \nL 99.823005 134.493742 \nL 99.456927 133.823291 \nL 99.342419 133.185201 \nL 99.499428 132.692246 \nL 99.77923 132.470912 \nL 100.16648 132.40101 \nL 100.779493 132.549252 \nL 101.401633 132.941389 \nL 101.925414 133.504423 \nL 102.264377 134.139255 \nL 102.366149 134.738359 \nL 102.218584 135.202919 \nL 101.959735 135.416388 \nL 101.464591 135.484096 \nL 100.875751 135.296377 \nL 100.292391 134.884843 \nL 99.814203 134.319804 \nL 99.524412 133.699463 \nL 99.474063 133.133007 \nL 99.67134 132.720164 \nL 99.961053 132.555591 \nL 100.47913 132.557704 \nL 101.060521 132.805401 \nL 101.602912 133.250469 \nL 102.088311 133.960233 \nL 102.246783 134.531855 \nL 102.17445 135.003423 \nL 101.886945 135.297808 \nL 101.434169 135.367274 \nL 100.892498 135.200861 \nL 100.353336 134.826827 \nL 99.822027 134.167581 \nL 99.601069 133.598644 \nL 99.605737 133.100959 \nL 99.834165 132.761726 \nL 100.243783 132.63862 \nL 100.759779 132.749485 \nL 101.290071 133.070261 \nL 101.834675 133.673236 \nL 102.11987 134.34554 \nL 102.113208 134.814518 \nL 101.900439 135.137625 \nL 101.51936 135.262312 \nL 101.034685 135.168554 \nL 100.408465 134.77226 \nL 99.914128 134.168004 \nL 99.684353 133.518709 \nL 99.735499 133.086346 \nL 99.986947 132.814166 \nL 100.39218 132.747767 \nL 100.87773 132.89511 \nL 101.466774 133.331426 \nL 101.891292 133.930366 \nL 102.044644 134.531787 \nL 101.946932 134.908861 \nL 101.671797 135.125179 \nL 101.266818 135.14564 \nL 100.800597 134.967517 \nL 100.252137 134.515143 \nL 99.877127 133.923632 \nL 99.776327 133.353046 \nL 99.913413 133.016934 \nL 100.218477 132.851912 \nL 100.635764 132.884205 \nL 101.200718 133.184792 \nL 101.671846 133.689907 \nL 101.927602 134.262061 \nL 101.906605 134.751077 \nL 101.695401 134.996525 \nL 101.349781 135.067491 \nL 100.819737 134.896879 \nL 100.312071 134.48454 \nL 99.961617 133.94104 \nL 99.862252 133.413324 \nL 99.9833 133.099718 \nL 100.260083 132.942288 \nL 100.64212 132.966239 \nL 101.162964 133.237042 \nL 101.600937 133.699204 \nL 101.842752 134.226837 \nL 101.829944 134.681202 \nL 101.639635 134.911928 \nL 101.323936 134.982389 \nL 100.836397 134.83108 \nL 100.366577 134.455328 \nL 100.039183 133.955993 \nL 99.941695 133.468014 \nL 100.099039 133.123219 \nL 100.379901 133.013867 \nL 100.841867 133.112573 \nL 101.307631 133.439592 \nL 101.699636 134.001482 \nL 101.790332 134.464093 \nL 101.642878 134.792803 \nL 101.379823 134.901241 \nL 100.943396 134.815404 \nL 100.49615 134.508914 \nL 100.110359 133.968848 \nL 100.015069 133.51766 \nL 100.154576 133.195698 \nL 100.410016 133.090285 \nL 100.833878 133.175278 \nL 101.340843 133.550348 \nL 101.66604 134.078486 \nL 101.710855 134.490716 \nL 101.538835 134.762786 \nL 101.19784 134.825464 \nL 100.778515 134.663985 \nL 100.327743 134.239733 \nL 100.094025 133.721423 \nL 100.132023 133.362247 \nL 100.371673 133.172974 \nL 100.745405 133.201736 \nL 101.225358 133.503019 \nL 101.567482 133.976931 \nL 101.647435 134.44231 \nL 101.493373 134.697178 \nL 101.181866 134.759896 \nL 100.79589 134.615648 \nL 100.378024 134.228119 \nL 100.157722 133.750594 \nL 100.217675 133.366596 \nL 100.465831 133.225823 \nL 100.822494 133.287928 \nL 101.256013 133.597663 \nL 101.541296 134.044257 \nL 101.575427 134.457782 \nL 101.403748 134.664721 \nL 101.098114 134.688399 \nL 100.6703 134.47189 \nL 100.329051 134.071261 \nL 100.203408 133.640547 \nL 100.299724 133.379 \nL 100.551512 133.281262 \nL 100.95834 133.409453 \nL 101.32963 133.749626 \nL 101.536248 134.235262 \nL 101.44849 134.548568 \nL 101.211392 134.645201 \nL 100.824653 134.528488 \nL 100.418905 134.139419 \nL 100.256898 133.674122 \nL 100.377533 133.398043 \nL 100.628777 133.338051 \nL 101.008017 133.48996 \nL 101.373229 133.887413 \nL 101.484192 134.321835 \nL 101.335334 134.555847 \nL 101.07966 134.583737 \nL 100.716189 134.407904 \nL 100.387434 134.008734 \nL 100.317629 133.600294 \nL 100.492736 133.404055 \nL 100.814033 133.428987 \nL 101.20581 133.714007 \nL 101.426729 134.125964 \nL 101.370219 134.454824 \nL 101.123396 134.543619 \nL 100.790687 134.418264 \nL 100.461605 134.07107 \nL 100.353414 133.68196 \nL 100.480278 133.468355 \nL 100.758884 133.451724 \nL 101.129076 133.679847 \nL 101.382683 134.107753 \nL 101.335154 134.413752 \nL 101.110252 134.499467 \nL 100.753234 134.351838 \nL 100.443603 133.962918 \nL 100.412457 133.627134 \nL 100.581355 133.482354 \nL 100.862631 133.527856 \nL 101.186967 133.789267 \nL 101.355967 134.18702 \nL 101.248583 134.423471 \nL 101.00722 134.44505 \nL 100.679621 134.250665 \nL 100.447031 133.872146 \nL 100.482315 133.595659 \nL 100.679515 133.51507 \nL 100.996342 133.64221 \nL 101.272551 133.983652 \nL 101.290456 134.313097 \nL 101.124223 134.419437 \nL 100.826481 134.332222 \nL 100.537119 134.021356 \nL 100.480978 133.687821 \nL 100.653708 133.552774 \nL 100.940717 133.636444 \nL 101.21838 133.934292 \nL 101.272687 134.253201 \nL 101.109493 134.384213 \nL 100.835828 134.30729 \nL 100.546134 133.980912 \nL 100.523167 133.684972 \nL 100.701878 133.584658 \nL 101.007648 133.714798 \nL 101.238823 134.052382 \nL 101.199498 134.302697 \nL 100.993483 134.346249 \nL 100.70307 134.169885 \nL 100.531891 133.835082 \nL 100.625805 133.634154 \nL 100.851004 133.645496 \nL 101.141072 133.895279 \nL 101.21607 134.204972 \nL 101.082359 134.321781 \nL 100.817077 134.240292 \nL 100.58578 133.953158 \nL 100.603174 133.692292 \nL 100.783961 133.649844 \nL 101.069497 133.833147 \nL 101.196075 134.157221 \nL 101.069959 134.29419 \nL 100.826083 134.222148 \nL 100.599308 133.92644 \nL 100.640301 133.701085 \nL 100.848607 133.692565 \nL 101.116695 133.931075 \nL 101.149635 134.208162 \nL 100.97978 134.267882 \nL 100.726688 134.110643 \nL 100.608742 133.822637 \nL 100.740882 133.694569 \nL 100.986762 133.799518 \nL 101.150501 134.099465 \nL 101.047163 134.245322 \nL 100.814806 134.170621 \nL 100.631796 133.88695 \nL 100.727816 133.719964 \nL 100.951284 133.79108 \nL 101.127315 134.062701 \nL 101.036761 134.223729 \nL 100.823126 134.157562 \nL 100.652074 133.896887 \nL 100.737833 133.740671 \nL 100.94326 133.80358 \nL 101.110194 134.075773 \nL 101.008134 134.207031 \nL 100.787667 134.109252 \nL 100.670562 133.843943 \nL 100.805085 133.757587 \nL 101.030678 133.911119 \nL 101.070903 134.150665 \nL 100.92165 134.178486 \nL 100.70821 133.977913 \nL 100.740999 133.782683 \nL 100.929659 133.826304 \nL 101.076261 134.074819 \nL 100.958738 134.171902 \nL 100.758466 134.039554 \nL 100.72752 133.81488 \nL 100.886643 133.813844 \nL 101.058182 134.030149 \nL 100.98666 134.156363 \nL 100.971241 134.157576 \nL 100.783699 134.05399 \nL 100.738762 133.828716 \nL 100.884397 133.825595 \nL 101.046686 134.040563 \nL 100.966178 134.143372 \nL 100.951225 134.142895 \nL 100.768722 134.017594 \nL 100.768269 133.82689 \nL 100.929659 133.866489 \nL 101.027605 134.087087 \nL 100.903347 134.119421 \nL 100.744252 133.938641 \nL 100.798097 133.831702 \nL 100.837364 133.832179 \nL 101.009958 133.983883 \nL 100.979468 134.113628 \nL 100.944247 134.118113 \nL 100.771527 133.986242 \nL 100.793152 133.846355 \nL 100.826909 133.841843 \nL 100.993026 133.967826 \nL 100.973171 134.102505 \nL 100.94098 134.107153 \nL 100.781185 133.987114 \nL 100.799221 133.857029 \nL 100.830065 133.852381 \nL 100.989777 133.979808 \nL 100.967248 134.092254 \nL 100.91529 134.093631 \nL 100.773356 133.939499 \nL 100.823058 133.862454 \nL 100.877579 133.873196 \nL 100.991533 134.043562 \nL 100.914147 134.084797 \nL 100.881226 134.07197 \nL 100.787365 133.897528 \nL 100.898085 133.892021 \nL 100.908482 133.899028 \nL 100.974221 134.059865 \nL 100.956502 134.074178 \nL 100.818633 134.009047 \nL 100.808859 133.887863 \nL 100.866589 133.88421 \nL 100.974037 134.039418 \nL 100.893354 134.063191 \nL 100.856358 134.04074 \nL 100.809044 133.899709 \nL 100.841498 133.8871 \nL 100.967696 134.001945 \nL 100.933987 134.062973 \nL 100.867854 134.042717 \nL 100.810575 133.911255 \nL 100.851471 133.89442 \nL 100.962269 134.021834 \nL 100.909566 134.055599 \nL 100.854982 134.026373 \nL 100.819484 133.912386 \nL 100.947452 134.039105 \nL 100.884611 133.97715 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb5baa9df20\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     },
@@ -681,8 +681,8 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.556634pt\" version=\"1.1\" viewBox=\"0 0 293.686304 285.556634\" width=\"293.686304pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T15:53:50.901508</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.556634 \nL 293.686304 285.556634 \nL 293.686304 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.578047 212.03611 \nL 127.75488 137.692794 \nL 127.066072 31.12639 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 64.26459 219.772135 \nL 150.165169 144.20658 \nL 150.437516 37.05037 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 88.359183 227.641429 \nL 172.929338 150.823225 \nL 174.194068 43.071963 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 112.87246 235.647465 \nL 196.055833 157.545184 \nL 198.345326 49.193603 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 137.815431 243.79384 \nL 219.553377 164.374992 \nL 222.90121 55.417804 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 163.199493 252.084274 \nL 243.430969 171.315266 \nL 247.871974 61.747165 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.337272 211.388652 \nL 39.056334 213.333808 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.50086 235.374498)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 65.01322 219.113576 \nL 62.764085 221.092109 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(49.393091 243.274494)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 89.096738 226.97148 \nL 86.880847 228.984256 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(77.703931 251.311099)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 113.598442 234.965828 \nL 111.417294 237.013745 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(102.245674 259.487888)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 138.529319 243.100206 \nL 136.384479 245.184192 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(124.038016 267.808559)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 163.900744 251.378325 \nL 161.793844 253.499341 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(149.454959 276.276946)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_8\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 32.782819 87.034514 \nL 37.676501 198.993897 \nL 186.194576 246.851596 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 47.410588 76.359834 \nL 51.604213 187.319412 \nL 198.813893 233.901073 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.643816 65.973073 \nL 65.172389 175.946298 \nL 211.090462 221.302293 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 75.498252 55.862736 \nL 78.394775 164.863032 \nL 223.03806 209.041119 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 88.98882 46.017935 \nL 91.284421 154.058675 \nL 234.669735 197.104158 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.129667 36.428343 \nL 103.853734 143.522828 \nL 245.997855 185.47872 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 184.94328 246.448385 \nL 188.700391 247.659057 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(188.470258 267.813661)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 197.574482 233.508885 \nL 201.295863 234.686445 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −5 -->\n     <g transform=\"translate(204.101535 254.671435)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 209.862756 220.920683 \nL 213.548949 222.06647 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(220.403059 241.886366)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.821881 208.669664 \nL 225.473423 209.784946 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 5 -->\n     <g transform=\"translate(232.190002 229.444089)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 233.464907 196.742458 \nL 237.08233 197.828439 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 10 -->\n     <g transform=\"translate(240.483844 217.331002)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_14\">\n     <path d=\"M 244.804203 185.126396 \nL 248.388033 186.184216 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 15 -->\n     <g transform=\"translate(251.6593 205.53421)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_15\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.057306 156.004408 \nL 114.960381 115.618273 \nL 26.355376 188.2209 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.842543 138.85684 \nL 114.769563 99.024251 \nL 25.509253 170.650597 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.63875 121.469726 \nL 114.576208 82.209577 \nL 24.650855 152.825403 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.446157 103.83801 \nL 114.380264 65.169823 \nL 23.779913 134.739729 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.265004 85.956495 \nL 114.18168 47.900437 \nL 22.89615 116.387825 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 261.095534 67.819834 \nL 113.980402 30.396747 \nL 21.999282 97.763768 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 255.864289 155.665334 \nL 259.4462 156.683368 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 5 -->\n     <g transform=\"translate(272.263115 161.035175)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 256.640939 138.522304 \nL 260.248652 139.526719 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 10 -->\n     <g transform=\"translate(269.991865 143.922019)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 257.428434 121.139889 \nL 261.062324 122.130202 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 15 -->\n     <g transform=\"translate(270.914539 126.570529)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 258.227002 103.513037 \nL 261.887451 104.488752 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 20 -->\n     <g transform=\"translate(271.850152 108.975693)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_18\">\n    <g id=\"line2d_21\">\n     <path d=\"M 259.03688 85.636558 \nL 262.724278 86.597159 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- 25 -->\n     <g transform=\"translate(272.79898 91.132353)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_19\">\n    <g id=\"line2d_22\">\n     <path d=\"M 259.858309 67.505109 \nL 263.573056 68.450065 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_19\">\n     <!-- 30 -->\n     <g transform=\"translate(273.761304 73.035209)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_23\">\n    <path clip-path=\"url(#pf6771b3e79)\" d=\"M 129.591127 193.835773 \nL 128.98118 192.681085 \nL 128.941783 192.297243 \nL 129.21091 191.739347 \nL 129.819045 191.323698 \nL 131.23042 190.7617 \nL 146.049714 185.800389 \nL 152.764853 183.168216 \nL 158.310835 180.790434 \nL 164.85315 177.74246 \nL 172.498151 173.835823 \nL 176.757039 171.491503 \nL 181.310329 168.845922 \nL 186.15209 165.867427 \nL 191.266767 162.524854 \nL 196.626311 158.789437 \nL 202.186849 154.637442 \nL 207.88498 150.053727 \nL 213.633845 145.036245 \nL 219.319371 139.601526 \nL 224.797173 133.790927 \nL 229.890926 127.67712 \nL 234.393337 121.369909 \nL 238.070993 115.019988 \nL 240.674433 108.818676 \nL 241.954649 102.991493 \nL 241.686191 97.783653 \nL 239.695637 93.436838 \nL 235.891885 90.158779 \nL 230.292446 88.090517 \nL 223.03846 87.278952 \nL 214.392084 87.663363 \nL 204.713517 89.081932 \nL 194.42087 91.298548 \nL 183.941632 94.0431 \nL 173.666896 97.053956 \nL 163.917761 100.111559 \nL 146.844716 105.794291 \nL 133.603474 110.52292 \nL 128.411726 112.53954 \nL 124.0901 114.371266 \nL 120.552459 116.060004 \nL 117.705329 117.645181 \nL 115.454631 119.160561 \nL 113.71015 120.632966 \nL 112.388264 122.082278 \nL 111.41343 123.522144 \nL 110.71879 124.960987 \nL 110.246181 126.403093 \nL 109.945757 127.849686 \nL 109.699851 130.75108 \nL 109.778127 135.078344 \nL 109.970754 140.659466 \nL 109.869751 144.614952 \nL 109.624938 147.121 \nL 109.219727 149.516705 \nL 108.64321 151.800616 \nL 107.885129 153.972843 \nL 106.933904 156.033987 \nL 105.775494 157.984214 \nL 104.392773 159.8224 \nL 102.765289 161.545258 \nL 100.86931 163.146378 \nL 98.678183 164.615093 \nL 96.163092 165.935078 \nL 93.294362 167.082629 \nL 90.043604 168.024612 \nL 86.386982 168.716084 \nL 82.310107 169.097756 \nL 77.814991 169.093689 \nL 75.417997 168.918354 \nL 72.929579 168.609967 \nL 70.359288 168.154125 \nL 67.719969 167.53563 \nL 65.028236 166.738787 \nL 62.304957 165.747827 \nL 59.575688 164.5475 \nL 56.871008 163.123827 \nL 54.226718 161.465024 \nL 51.68381 159.562636 \nL 49.288139 157.412804 \nL 47.089729 155.017647 \nL 45.141635 152.386651 \nL 43.498296 149.537963 \nL 42.213406 146.4994 \nL 41.33735 143.309001 \nL 40.914277 140.014941 \nL 40.9791 136.674632 \nL 41.554608 133.3529 \nL 42.649079 130.119317 \nL 44.254633 127.044735 \nL 46.346677 124.197368 \nL 48.884503 121.638824 \nL 51.813137 119.420463 \nL 55.066221 117.580569 \nL 58.569667 116.142608 \nL 62.245701 115.114797 \nL 66.016855 114.490873 \nL 69.809577 114.251923 \nL 73.557147 114.368938 \nL 77.201756 114.805728 \nL 80.695728 115.521859 \nL 84.001915 116.475322 \nL 87.093428 117.624722 \nL 89.952848 118.930992 \nL 92.571111 120.358498 \nL 94.9462 121.875695 \nL 97.081784 123.455389 \nL 98.985909 125.074668 \nL 100.669781 126.714655 \nL 102.146715 128.360117 \nL 103.43123 129.999024 \nL 104.538328 131.622077 \nL 105.482923 133.222273 \nL 106.941352 136.335115 \nL 107.910651 139.312934 \nL 108.477136 142.146436 \nL 108.708092 144.835139 \nL 108.652948 147.3831 \nL 108.345489 149.796229 \nL 107.806351 152.080669 \nL 107.045309 154.241804 \nL 106.063219 156.283608 \nL 104.853562 158.20813 \nL 103.403659 160.014967 \nL 101.695652 161.700631 \nL 99.707413 163.257724 \nL 97.413526 164.673859 \nL 94.78655 165.930271 \nL 91.798822 167.000084 \nL 88.42512 167.846233 \nL 84.646546 168.419144 \nL 80.456154 168.6544 \nL 78.209482 168.620749 \nL 75.866708 168.470927 \nL 73.434197 168.192124 \nL 70.920974 167.770584 \nL 68.339171 167.191779 \nL 65.704491 166.440686 \nL 63.036661 165.502184 \nL 60.359848 164.361589 \nL 57.70299 163.005352 \nL 55.099996 161.421924 \nL 52.589744 159.602796 \nL 50.215816 157.543688 \nL 48.02588 155.245839 \nL 46.070665 152.717329 \nL 44.402489 149.974307 \nL 43.073309 147.042005 \nL 42.132331 143.955335 \nL 41.623334 140.758903 \nL 41.581787 137.506326 \nL 42.032108 134.258655 \nL 42.985276 131.082017 \nL 44.437115 128.044471 \nL 46.367536 125.212388 \nL 48.740864 122.646685 \nL 51.507309 120.399286 \nL 54.605478 118.51024 \nL 57.965705 117.005833 \nL 61.513777 115.897836 \nL 65.174788 115.183961 \nL 68.876645 114.849333 \nL 72.553058 114.86874 \nL 76.14572 115.209307 \nL 79.605716 115.83328 \nL 82.894118 116.700647 \nL 85.98191 117.771349 \nL 88.849396 119.007033 \nL 91.485216 120.372289 \nL 93.885166 121.835424 \nL 96.05091 123.368794 \nL 97.98872 124.948875 \nL 99.708284 126.556078 \nL 101.221654 128.174415 \nL 102.542335 129.791112 \nL 103.684535 131.396164 \nL 104.662573 132.98192 \nL 106.18136 136.074312 \nL 107.20098 139.039802 \nL 107.807372 141.866253 \nL 108.068297 144.551129 \nL 108.034063 147.097034 \nL 107.739474 149.508837 \nL 107.20616 151.79191 \nL 106.444808 153.95101 \nL 105.457083 155.989561 \nL 104.237201 157.909071 \nL 102.773188 159.708562 \nL 101.047922 161.383896 \nL 99.040123 162.926928 \nL 96.725428 164.324411 \nL 94.077771 165.55659 \nL 91.071327 166.595503 \nL 87.683338 167.40295 \nL 83.898172 167.928287 \nL 79.713122 168.106322 \nL 77.47522 168.040359 \nL 75.146289 167.855829 \nL 72.733533 167.540097 \nL 70.246861 167.079692 \nL 67.699332 166.46052 \nL 65.10757 165.668169 \nL 62.492202 164.688331 \nL 59.8782 163.50737 \nL 57.295167 162.113041 \nL 54.777436 160.495364 \nL 52.364004 158.647652 \nL 50.09814 156.567678 \nL 48.026693 154.258889 \nL 46.198966 151.73164 \nL 44.665172 149.004279 \nL 43.474472 146.103979 \nL 42.672617 143.067138 \nL 42.29935 139.939192 \nL 42.385731 136.773707 \nL 42.951618 133.630699 \nL 44.003591 130.574163 \nL 45.533576 127.669019 \nL 47.518395 124.977617 \nL 49.92036 122.556251 \nL 52.68893 120.451972 \nL 55.763259 118.700108 \nL 59.07543 117.322718 \nL 62.554031 116.328177 \nL 66.127705 115.711792 \nL 69.728377 115.457372 \nL 73.293901 115.5394 \nL 76.76999 115.925604 \nL 80.11139 116.57953 \nL 83.282324 117.462916 \nL 86.256349 118.537721 \nL 89.015728 119.767691 \nL 91.550483 121.119452 \nL 93.85725 122.563157 \nL 95.938086 124.07281 \nL 97.799283 125.626274 \nL 99.45026 127.205084 \nL 100.902587 128.79416 \nL 102.16914 130.38141 \nL 103.263419 131.957344 \nL 104.198983 133.514665 \nL 105.646142 136.553071 \nL 106.607149 139.469028 \nL 107.162941 142.250333 \nL 107.377185 144.893907 \nL 107.296958 147.401571 \nL 106.954578 149.777307 \nL 106.369768 152.025543 \nL 105.551763 154.150054 \nL 104.501123 156.153202 \nL 103.211247 158.035292 \nL 101.669624 159.793961 \nL 99.85891 161.423416 \nL 97.758018 162.913511 \nL 95.343353 164.248564 \nL 92.590437 165.405898 \nL 89.476198 166.354068 \nL 85.982226 167.050894 \nL 82.099422 167.441399 \nL 77.834392 167.456066 \nL 75.566956 167.296552 \nL 73.217985 167.010132 \nL 70.796879 166.584047 \nL 68.315988 166.004958 \nL 65.791029 165.259203 \nL 63.241464 164.333215 \nL 60.69084 163.214032 \nL 58.16705 161.889946 \nL 55.702463 160.351325 \nL 53.333837 158.591551 \nL 51.102025 156.60809 \nL 49.051321 154.403621 \nL 47.228493 151.987185 \nL 45.681368 149.375213 \nL 44.45706 146.592345 \nL 43.599821 143.671841 \nL 43.148646 140.655529 \nL 43.134786 137.593054 \nL 43.57934 134.540452 \nL 44.491243 131.557979 \nL 45.865839 128.707375 \nL 47.684268 126.04868 \nL 49.91379 123.63696 \nL 52.509106 121.519281 \nL 55.414564 119.732193 \nL 58.567027 118.300111 \nL 61.899134 117.234605 \nL 65.342656 116.534741 \nL 68.831608 116.18829 \nL 72.304893 116.17363 \nL 75.708305 116.462005 \nL 78.995854 117.019963 \nL 82.130392 117.811614 \nL 85.083656 118.800656 \nL 87.835817 119.951957 \nL 90.374695 121.232723 \nL 92.694749 122.613275 \nL 94.795973 124.067448 \nL 96.682772 125.572688 \nL 98.362899 127.109978 \nL 99.846491 128.663591 \nL 101.145233 130.220763 \nL 102.271649 131.771327 \nL 103.238536 133.307345 \nL 104.743708 136.313051 \nL 105.754336 139.206201 \nL 106.350147 141.971429 \nL 106.594695 144.60328 \nL 106.53556 147.101802 \nL 106.205854 149.469656 \nL 105.626204 151.710245 \nL 104.80675 153.826494 \nL 103.748938 155.81999 \nL 102.447045 157.690298 \nL 100.88947 159.434261 \nL 99.059898 161.04523 \nL 96.938472 162.512103 \nL 94.503153 163.818124 \nL 91.731491 164.939451 \nL 88.603071 165.843442 \nL 85.102959 166.486776 \nL 81.226524 166.813621 \nL 76.98598 166.754232 \nL 74.739643 166.554005 \nL 72.418904 166.224735 \nL 70.03414 165.754075 \nL 67.598695 165.129259 \nL 65.129263 164.33741 \nL 62.646213 163.365977 \nL 60.173879 162.203255 \nL 57.740741 160.839081 \nL 55.379464 159.265635 \nL 53.126724 157.478365 \nL 51.022789 155.477012 \nL 49.110804 153.266659 \nL 47.435702 150.858758 \nL 46.042766 148.27201 \nL 44.975823 145.532977 \nL 44.275178 142.676304 \nL 43.975316 139.744431 \nL 44.102629 136.786655 \nL 44.673294 133.85759 \nL 45.691574 131.014951 \nL 47.148738 128.316849 \nL 49.022764 125.818841 \nL 51.278948 123.570937 \nL 53.871367 121.61492 \nL 56.74512 119.982284 \nL 59.839107 118.692919 \nL 63.089098 117.754774 \nL 66.430794 117.164361 \nL 69.80261 116.908043 \nL 73.147996 116.963869 \nL 76.417157 117.303729 \nL 79.568135 117.895538 \nL 82.567274 118.705304 \nL 85.389176 119.698916 \nL 88.016221 120.843527 \nL 90.437796 122.108587 \nL 92.649348 123.466483 \nL 94.65135 124.89288 \nL 96.448276 126.366802 \nL 98.047615 127.870525 \nL 99.458999 129.389371 \nL 100.693438 130.911379 \nL 101.762673 132.426992 \nL 103.453193 135.41076 \nL 104.622286 138.299688 \nL 105.350995 141.071697 \nL 105.705875 143.716718 \nL 105.738181 146.23172 \nL 105.484775 148.617342 \nL 104.969799 150.875695 \nL 104.20655 153.008871 \nL 103.19927 155.017936 \nL 101.944731 156.902131 \nL 100.433605 158.658131 \nL 98.651712 160.279252 \nL 96.581275 161.75451 \nL 94.20233 163.067492 \nL 91.494524 164.19497 \nL 88.439545 165.105323 \nL 85.02448 165.756815 \nL 81.246449 166.095923 \nL 77.118823 166.056156 \nL 74.934475 165.869813 \nL 72.67926 165.557988 \nL 70.363281 165.109056 \nL 67.999446 164.51103 \nL 65.603799 163.751873 \nL 63.195841 162.819872 \nL 60.798779 161.704167 \nL 58.439679 160.395359 \nL 56.149503 158.886274 \nL 53.962937 157.172798 \nL 51.917999 155.254829 \nL 50.055369 153.137221 \nL 48.417407 150.830738 \nL 47.04681 148.352838 \nL 45.985001 145.728258 \nL 45.270196 142.989216 \nL 44.935334 140.175174 \nL 45.005976 137.332024 \nL 45.498352 134.51071 \nL 46.417744 131.76525 \nL 47.757436 129.150319 \nL 49.49836 126.718576 \nL 51.60954 124.517895 \nL 54.049325 122.588888 \nL 56.767331 120.962906 \nL 59.706939 119.660742 \nL 62.808062 118.692132 \nL 66.009972 118.056084 \nL 69.253929 117.741898 \nL 72.485413 117.730771 \nL 75.655824 117.99769 \nL 78.723637 118.513434 \nL 81.654962 119.246504 \nL 84.42363 120.164839 \nL 87.010846 121.237167 \nL 89.404565 122.434066 \nL 91.598655 123.728649 \nL 93.591966 125.096956 \nL 95.387382 126.518123 \nL 96.990898 127.97433 \nL 98.410777 129.450647 \nL 99.656811 130.934766 \nL 100.739692 132.416731 \nL 102.460222 135.344223 \nL 103.658676 138.188761 \nL 104.412673 140.925252 \nL 104.786824 143.541077 \nL 104.831484 146.03113 \nL 104.583285 148.394389 \nL 104.06656 150.631575 \nL 103.295041 152.743601 \nL 102.273581 154.730452 \nL 100.999694 156.590323 \nL 99.464963 158.318807 \nL 97.656346 159.908062 \nL 95.557523 161.34585 \nL 93.15045 162.614369 \nL 90.417314 163.688925 \nL 87.343158 164.536411 \nL 83.919455 165.113738 \nL 80.148932 165.366441 \nL 76.051916 165.227923 \nL 73.894073 164.987926 \nL 71.674323 164.620038 \nL 69.403944 164.113177 \nL 67.097017 163.456115 \nL 64.770735 162.637808 \nL 62.445645 161.647818 \nL 60.145822 160.476862 \nL 57.898953 159.117422 \nL 55.736249 157.564512 \nL 53.692178 155.816488 \nL 51.803951 153.875913 \nL 50.110758 151.750439 \nL 48.652689 149.45358 \nL 47.469353 147.00534 \nL 46.598269 144.432572 \nL 46.073006 141.76894 \nL 45.921284 139.05447 \nL 46.163089 136.334527 \nL 46.809038 133.658322 \nL 47.859113 131.0769 \nL 49.302001 128.640835 \nL 51.115059 126.397705 \nL 53.265045 124.389714 \nL 55.70951 122.651587 \nL 58.398795 121.208989 \nL 61.278414 120.07763 \nL 64.291621 119.263089 \nL 67.381937 118.761352 \nL 70.495432 118.559926 \nL 73.582612 118.639395 \nL 76.599822 118.975174 \nL 79.510118 119.539329 \nL 82.283657 120.302254 \nL 84.897664 121.234159 \nL 87.336043 122.306225 \nL 89.588744 123.491466 \nL 91.650991 124.765313 \nL 93.522409 126.105908 \nL 95.206175 127.494221 \nL 96.708182 128.913992 \nL 98.036294 130.351563 \nL 99.199676 131.795666 \nL 100.208243 133.237135 \nL 101.801676 136.084414 \nL 102.895741 138.851985 \nL 103.561233 141.515874 \nL 103.856818 144.063458 \nL 103.827965 146.488978 \nL 103.507452 148.790372 \nL 102.916672 150.967105 \nL 102.067202 153.01867 \nL 100.962398 154.943472 \nL 99.598883 156.737924 \nL 97.967941 158.39559 \nL 96.056898 159.906281 \nL 93.850613 161.255029 \nL 91.333257 162.420881 \nL 88.490604 163.375582 \nL 85.313073 164.082132 \nL 81.799796 164.493478 \nL 77.963965 164.551579 \nL 73.839641 164.187467 \nL 71.687629 163.822948 \nL 69.489898 163.323125 \nL 67.260338 162.677615 \nL 65.015751 161.876304 \nL 62.77607 160.909746 \nL 60.564502 159.769664 \nL 58.407568 158.449554 \nL 56.334987 156.945367 \nL 54.37942 155.256252 \nL 52.575942 153.385349 \nL 50.961321 151.340564 \nL 49.572994 149.135252 \nL 48.447804 146.788763 \nL 47.620505 144.326702 \nL 47.122085 141.780901 \nL 46.978029 139.188935 \nL 47.206644 136.593208 \nL 47.817576 134.039536 \nL 48.8107 131.575377 \nL 50.175525 129.247717 \nL 51.891166 127.100838 \nL 53.926984 125.17415 \nL 56.243834 123.500298 \nL 58.795853 122.103728 \nL 61.532568 120.999827 \nL 64.401235 120.194737 \nL 67.349118 119.685764 \nL 70.325574 119.462337 \nL 73.283823 119.507352 \nL 76.182259 119.798739 \nL 78.98533 120.311075 \nL 81.663953 121.017149 \nL 84.195548 121.889292 \nL 86.563741 122.900506 \nL 88.757844 124.025294 \nL 90.772173 125.240215 \nL 92.605272 126.524256 \nL 94.259145 127.858943 \nL 95.738483 129.228352 \nL 97.049971 130.618976 \nL 98.201658 132.019537 \nL 99.202433 133.42077 \nL 100.788379 136.196751 \nL 101.880832 138.903616 \nL 102.546116 141.515266 \nL 102.839848 144.017014 \nL 102.805565 146.401208 \nL 102.47496 148.664105 \nL 101.868947 150.803666 \nL 100.999086 152.817995 \nL 99.869076 154.704159 \nL 98.476219 156.457239 \nL 96.812835 158.069405 \nL 94.867715 159.528994 \nL 92.627725 160.819453 \nL 90.079753 161.918188 \nL 87.213181 162.795284 \nL 84.023141 163.412264 \nL 80.514769 163.72102 \nL 76.708697 163.66334 \nL 74.70634 163.476266 \nL 72.647783 163.171604 \nL 70.543142 162.739876 \nL 68.404911 162.171516 \nL 66.248221 161.457144 \nL 64.091018 160.587926 \nL 61.954229 159.555999 \nL 59.861807 158.354984 \nL 57.840672 156.980592 \nL 55.920492 155.43127 \nL 54.133313 153.708916 \nL 52.51292 151.819561 \nL 51.094026 149.774012 \nL 49.911187 147.588403 \nL 48.99753 145.284497 \nL 48.383283 142.889768 \nL 48.094241 140.437102 \nL 48.150216 137.964135 \nL 48.563619 135.512153 \nL 49.338332 133.124641 \nL 50.46894 130.845488 \nL 51.940489 128.717041 \nL 53.728788 126.778117 \nL 55.801278 125.062177 \nL 58.118391 123.595829 \nL 60.635341 122.397796 \nL 63.304126 121.47844 \nL 66.075601 120.839825 \nL 68.901487 120.476344 \nL 71.736127 120.3757 \nL 74.537895 120.520222 \nL 77.270239 120.888289 \nL 79.902294 121.455754 \nL 82.409137 122.197276 \nL 84.771696 123.087444 \nL 86.976417 124.101692 \nL 89.014743 125.216974 \nL 90.882468 126.412205 \nL 92.579039 127.668519 \nL 94.106863 128.96936 \nL 95.470625 130.300435 \nL 96.676684 131.649623 \nL 97.73253 133.006768 \nL 99.426484 135.71297 \nL 100.619376 138.369378 \nL 101.374446 140.944571 \nL 101.746368 143.419617 \nL 101.779109 145.783629 \nL 101.505601 148.030416 \nL 100.948436 150.156096 \nL 100.121062 152.157374 \nL 99.029166 154.030243 \nL 97.672103 155.768932 \nL 96.044327 157.364956 \nL 94.136883 158.806166 \nL 91.939074 160.075722 \nL 89.440445 161.151004 \nL 86.633276 162.002452 \nL 83.515822 162.592471 \nL 80.096466 162.874576 \nL 76.398955 162.793207 \nL 72.468741 162.284685 \nL 70.438257 161.8488 \nL 68.380102 161.280188 \nL 66.309244 160.570414 \nL 64.243267 159.711661 \nL 62.202487 158.697162 \nL 60.209964 157.521661 \nL 58.291417 156.181979 \nL 56.474983 154.677607 \nL 54.790801 153.011327 \nL 53.270438 151.189828 \nL 51.946071 149.224254 \nL 50.849499 147.130635 \nL 50.01095 144.930136 \nL 49.457755 142.649044 \nL 49.212977 140.318455 \nL 49.29403 137.973621 \nL 49.711464 135.652919 \nL 50.467969 133.396522 \nL 51.557761 131.244786 \nL 52.966408 129.236501 \nL 54.671132 127.40715 \nL 56.641611 125.787318 \nL 58.841224 124.40135 \nL 61.228626 123.266479 \nL 63.759553 122.392396 \nL 66.388664 121.781306 \nL 69.071328 121.428453 \nL 71.765199 121.323004 \nL 74.431498 121.449168 \nL 77.035968 121.787461 \nL 79.549454 122.315976 \nL 81.948165 123.011551 \nL 84.213637 123.850822 \nL 86.33246 124.811036 \nL 88.295828 125.870692 \nL 90.098994 127.009983 \nL 91.740646 128.211042 \nL 93.222282 129.458056 \nL 94.547606 130.737267 \nL 95.721964 132.036894 \nL 97.644451 134.659179 \nL 99.048096 137.263886 \nL 99.992673 139.81032 \nL 100.532808 142.272456 \nL 100.714507 144.634179 \nL 100.57385 146.885593 \nL 100.137043 149.020284 \nL 99.421237 151.033284 \nL 98.435709 152.919589 \nL 97.183204 154.672959 \nL 95.661343 156.284891 \nL 93.864114 157.743659 \nL 91.783506 159.033337 \nL 89.411445 160.132767 \nL 86.742153 161.014515 \nL 83.775161 161.643892 \nL 80.519107 161.978216 \nL 76.99649 161.966655 \nL 73.249347 161.551118 \nL 71.311623 161.172309 \nL 69.345633 160.668852 \nL 67.364969 160.033024 \nL 65.385589 159.257635 \nL 63.425904 158.33639 \nL 61.506818 157.264303 \nL 59.651649 156.038178 \nL 57.885958 154.657133 \nL 56.237196 153.123152 \nL 54.734235 151.441613 \nL 53.406679 149.621806 \nL 52.284024 147.677334 \nL 51.394645 145.626377 \nL 50.76465 143.491746 \nL 50.416652 141.300691 \nL 50.368563 139.084413 \nL 50.632439 136.877258 \nL 51.213528 134.71564 \nL 52.109583 132.636674 \nL 53.310567 130.676712 \nL 54.798733 128.869751 \nL 56.549157 127.245968 \nL 58.53069 125.830449 \nL 60.707218 124.642206 \nL 63.039182 123.693607 \nL 65.485206 122.990233 \nL 68.003729 122.53113 \nL 70.554498 122.309416 \nL 73.099863 122.313165 \nL 75.605788 122.526487 \nL 78.042552 122.930603 \nL 80.385157 123.504973 \nL 82.613447 124.228274 \nL 84.711997 125.079256 \nL 86.66981 126.037399 \nL 88.47989 127.083433 \nL 90.138722 128.199664 \nL 91.645726 129.370166 \nL 93.002697 130.580846 \nL 94.213284 131.819437 \nL 96.216295 134.339777 \nL 97.70394 136.86513 \nL 98.730023 139.349859 \nL 99.345779 141.763575 \nL 99.595745 144.08653 \nL 99.515861 146.305913 \nL 99.133068 148.413022 \nL 98.465803 150.40111 \nL 97.524976 152.263785 \nL 96.315202 153.993728 \nL 94.836159 155.581625 \nL 93.084075 157.015175 \nL 91.053378 158.278136 \nL 88.738642 159.349352 \nL 86.136957 160.201801 \nL 83.250869 160.801765 \nL 80.092063 161.108303 \nL 76.685864 161.07329 \nL 73.076507 160.642559 \nL 71.216051 160.260854 \nL 69.332881 159.75867 \nL 67.440375 159.129163 \nL 65.554078 158.366095 \nL 63.691767 157.464165 \nL 61.873446 156.419409 \nL 60.121256 155.229623 \nL 58.459268 153.89484 \nL 56.913154 152.417806 \nL 55.509684 150.804456 \nL 54.276112 149.064335 \nL 53.239381 147.210914 \nL 52.425196 145.261803 \nL 51.857001 143.238733 \nL 51.554883 141.167341 \nL 51.534509 139.076685 \nL 51.806143 136.998509 \nL 52.373821 134.966244 \nL 53.234802 133.013803 \nL 54.379319 131.174266 \nL 55.790703 129.478505 \nL 57.445878 127.953922 \nL 59.31619 126.6233 \nL 61.368553 125.504001 \nL 63.566778 124.60746 \nL 65.873 123.939028 \nL 68.249123 123.498203 \nL 70.658151 123.279149 \nL 73.065327 123.27146 \nL 75.439054 123.461062 \nL 77.751546 123.831184 \nL 79.979213 124.363329 \nL 82.102804 125.038154 \nL 84.107338 125.836222 \nL 85.981862 126.738644 \nL 87.719091 127.727537 \nL 89.314976 128.786347 \nL 90.768208 129.900042 \nL 92.07974 131.055214 \nL 94.289994 133.444436 \nL 95.981455 135.877881 \nL 97.199992 138.300641 \nL 97.99319 140.674541 \nL 98.404945 142.973674 \nL 98.472494 145.180583 \nL 98.225199 147.283188 \nL 97.68449 149.272395 \nL 96.864486 151.140288 \nL 95.773012 152.878692 \nL 94.412842 154.477999 \nL 92.783111 155.926167 \nL 90.8809 157.207741 \nL 88.703088 158.302938 \nL 86.248571 159.186782 \nL 83.520978 159.828356 \nL 80.532023 160.190323 \nL 77.305531 160.229002 \nL 73.882135 159.895339 \nL 70.324406 159.137337 \nL 68.52194 158.583196 \nL 66.721747 157.904499 \nL 64.939816 157.096321 \nL 63.194139 156.154874 \nL 61.504641 155.077877 \nL 59.893029 153.864957 \nL 58.382515 152.518078 \nL 56.997427 151.041948 \nL 55.762677 149.444411 \nL 54.70312 147.736748 \nL 53.842744 145.933884 \nL 53.20382 144.054444 \nL 52.805948 142.120619 \nL 52.6651 140.157844 \nL 52.792719 138.194197 \nL 53.194944 136.259641 \nL 53.872021 134.385032 \nL 54.81795 132.601003 \nL 56.020468 130.936769 \nL 57.461308 129.418973 \nL 59.116806 128.070625 \nL 60.958767 126.910258 \nL 62.955549 125.951312 \nL 65.073293 125.201869 \nL 67.277187 124.66463 \nL 69.532698 124.337255 \nL 71.806673 124.212888 \nL 74.068289 124.280871 \nL 76.289766 124.527563 \nL 78.446857 124.937196 \nL 80.519128 125.4927 \nL 82.490014 126.176425 \nL 84.346711 126.97079 \nL 86.079949 127.858783 \nL 87.683642 128.824354 \nL 89.154498 129.852646 \nL 90.491588 130.930177 \nL 92.770046 133.186183 \nL 94.543181 135.512737 \nL 95.848431 137.850526 \nL 96.727815 140.15694 \nL 97.222027 142.402076 \nL 97.366902 144.565089 \nL 97.191692 146.63115 \nL 96.718593 148.589016 \nL 95.963068 150.429101 \nL 94.934674 152.142003 \nL 93.638171 153.717261 \nL 92.074868 155.14232 \nL 90.244168 156.401574 \nL 88.145371 157.475495 \nL 85.779838 158.339838 \nL 83.153599 158.965014 \nL 80.280516 159.315749 \nL 77.186033 159.351292 \nL 73.911465 159.026502 \nL 70.518536 158.294287 \nL 68.803623 157.761151 \nL 67.093634 157.109872 \nL 65.403715 156.336291 \nL 63.750795 155.437348 \nL 62.153511 154.411417 \nL 60.632034 153.258665 \nL 59.20782 151.981414 \nL 57.903246 150.584506 \nL 56.741115 149.075617 \nL 55.744074 147.465525 \nL 54.933906 145.768249 \nL 54.330761 144.001103 \nL 53.952323 142.184542 \nL 53.812979 140.341869 \nL 53.923027 138.498713 \nL 54.288021 136.682333 \nL 54.908225 134.92077 \nL 55.778347 133.241869 \nL 56.887487 131.672263 \nL 58.219366 130.236338 \nL 59.75284 128.955314 \nL 61.462632 127.846504 \nL 63.320271 126.922753 \nL 65.295148 126.192151 \nL 67.355621 125.658028 \nL 69.470104 125.319146 \nL 71.608056 125.170155 \nL 73.740835 125.202181 \nL 75.842373 125.403525 \nL 77.889659 125.760388 \nL 79.863013 126.257598 \nL 81.746202 126.879277 \nL 83.526387 127.609413 \nL 85.193946 128.432338 \nL 86.742206 129.333111 \nL 88.167115 130.297761 \nL 90.64156 132.368694 \nL 92.623211 134.557575 \nL 94.136906 136.796288 \nL 95.217015 139.033903 \nL 95.900505 141.233377 \nL 96.22231 143.368123 \nL 96.212673 145.418913 \nL 95.895924 147.371305 \nL 95.29028 149.213541 \nL 94.408291 150.9349 \nL 93.257725 152.524343 \nL 91.84273 153.969407 \nL 90.165243 155.255232 \nL 88.226651 156.363684 \nL 86.02976 157.272612 \nL 83.581152 157.955248 \nL 80.894014 158.379863 \nL 77.99145 158.509916 \nL 74.910254 158.304924 \nL 71.704935 157.722455 \nL 68.451521 156.721648 \nL 66.837163 156.053323 \nL 65.250419 155.268655 \nL 63.707773 154.365733 \nL 62.227146 153.344138 \nL 60.827698 152.20524 \nL 59.529553 150.952526 \nL 58.353402 149.591885 \nL 57.32004 148.131855 \nL 56.449798 146.583818 \nL 55.761886 144.962064 \nL 55.273679 143.283757 \nL 55.000007 141.568742 \nL 54.952428 139.839179 \nL 55.138583 138.119037 \nL 55.561664 136.433441 \nL 56.220032 134.807865 \nL 57.107052 133.267263 \nL 58.211137 131.835187 \nL 59.516034 130.532923 \nL 61.00134 129.378717 \nL 62.643192 128.387202 \nL 64.415128 127.568959 \nL 66.289015 126.930342 \nL 68.236025 126.473499 \nL 70.227562 126.196619 \nL 72.236102 126.094326 \nL 74.235916 126.158221 \nL 76.203628 126.377483 \nL 78.11861 126.739501 \nL 79.963206 127.230494 \nL 81.722825 127.836092 \nL 83.385869 128.541807 \nL 84.943592 129.333466 \nL 87.720832 131.121266 \nL 90.031342 133.102087 \nL 91.878765 135.195362 \nL 93.283819 137.337619 \nL 94.276063 139.480615 \nL 94.887745 141.588528 \nL 95.149652 143.634981 \nL 95.088675 145.600304 \nL 94.726675 147.469178 \nL 94.080269 149.228748 \nL 93.161245 150.86704 \nL 91.977406 152.37171 \nL 90.533718 153.728973 \nL 88.833717 154.922694 \nL 86.881206 155.9336 \nL 84.682264 156.738641 \nL 82.247638 157.310574 \nL 79.595545 157.617874 \nL 76.754886 157.625222 \nL 73.768755 157.294792 \nL 70.697934 156.588714 \nL 67.623894 155.473043 \nL 66.117229 154.753443 \nL 64.650431 153.92346 \nL 63.239838 152.982768 \nL 61.902894 151.932639 \nL 60.657897 150.776206 \nL 59.523691 149.518724 \nL 58.519226 148.167781 \nL 57.663085 146.733467 \nL 56.97293 145.228445 \nL 56.464875 143.667927 \nL 56.152868 142.06953 \nL 56.048046 140.452989 \nL 56.158183 138.839728 \nL 56.487177 137.252328 \nL 57.034695 135.713844 \nL 57.795994 134.247084 \nL 58.76188 132.873822 \nL 59.918926 131.614053 \nL 61.249835 130.485294 \nL 62.734009 129.502035 \nL 64.348242 128.675294 \nL 66.067515 128.012394 \nL 67.865828 127.516913 \nL 69.717038 127.188826 \nL 71.595618 127.024773 \nL 73.477343 127.018473 \nL 75.339841 127.161245 \nL 77.163006 127.442521 \nL 78.929279 127.850398 \nL 80.623774 128.372156 \nL 82.234313 128.994729 \nL 85.167666 130.490576 \nL 87.680683 132.239543 \nL 89.755877 134.155336 \nL 91.398142 136.166518 \nL 92.626398 138.216469 \nL 93.466694 140.261639 \nL 93.947068 142.269098 \nL 94.094126 144.21397 \nL 93.931052 146.07705 \nL 93.476745 147.842774 \nL 92.745716 149.497506 \nL 91.748576 151.028167 \nL 90.492907 152.421059 \nL 88.984445 153.660916 \nL 87.228543 154.730079 \nL 85.231928 155.607854 \nL 83.004786 156.270035 \nL 80.56319 156.688744 \nL 77.931906 156.832712 \nL 75.147437 156.668195 \nL 72.261152 156.160848 \nL 69.342104 155.278787 \nL 66.478895 153.9971 \nL 65.101344 153.201966 \nL 63.779777 152.303836 \nL 62.530346 151.304408 \nL 61.369886 150.207102 \nL 60.315614 149.017274 \nL 59.384735 147.742392 \nL 58.594016 146.392149 \nL 57.95929 144.978512 \nL 57.494904 143.515694 \nL 57.213181 142.019987 \nL 57.123874 140.509503 \nL 57.233676 139.003788 \nL 57.5458 137.523338 \nL 58.059689 136.089013 \nL 58.770851 134.721408 \nL 59.670856 133.440177 \nL 60.747516 132.263375 \nL 61.985205 131.20688 \nL 63.365363 130.283893 \nL 64.867075 129.504581 \nL 66.467768 128.87586 \nL 68.143939 128.401328 \nL 69.871864 128.081385 \nL 71.628284 127.913453 \nL 73.390995 127.892313 \nL 75.139356 128.010537 \nL 76.854669 128.258936 \nL 78.520439 128.62703 \nL 80.12252 129.103493 \nL 83.090924 130.334509 \nL 85.693016 131.858949 \nL 87.894066 133.590707 \nL 89.68441 135.45525 \nL 91.07182 137.39116 \nL 92.07461 139.349628 \nL 92.716064 141.292723 \nL 93.020426 143.19121 \nL 93.010286 145.022339 \nL 92.705163 146.76785 \nL 92.120953 148.412222 \nL 91.27007 149.941198 \nL 90.162031 151.340612 \nL 88.80444 152.595355 \nL 87.204242 153.688554 \nL 85.369277 154.60092 \nL 83.31014 155.310262 \nL 81.042335 155.791304 \nL 78.588737 156.015864 \nL 75.982287 155.953602 \nL 73.268769 155.573539 \nL 70.509319 154.846598 \nL 67.782238 153.749346 \nL 65.183348 152.268971 \nL 63.966304 151.385489 \nL 62.824096 150.409324 \nL 61.772274 149.34461 \nL 60.826539 148.197279 \nL 60.002381 146.975196 \nL 59.314666 145.688229 \nL 58.777194 144.348239 \nL 58.402204 142.969009 \nL 58.199921 141.566065 \nL 58.178091 140.156402 \nL 58.341569 138.758094 \nL 58.692012 137.389871 \nL 59.227664 136.070565 \nL 59.943253 134.818561 \nL 60.830062 133.651214 \nL 61.876102 132.584317 \nL 63.066456 131.631591 \nL 64.383733 130.804305 \nL 65.808593 130.110989 \nL 67.320372 129.557286 \nL 68.897696 129.145931 \nL 70.519107 128.87686 \nL 72.163636 128.74742 \nL 73.811315 128.752682 \nL 75.443593 128.885799 \nL 77.04366 129.138406 \nL 80.089812 129.963424 \nL 82.855952 131.145144 \nL 85.280693 132.599448 \nL 87.331096 134.247985 \nL 88.996568 136.022316 \nL 90.282288 137.865364 \nL 91.203173 139.73109 \nL 91.77899 141.583074 \nL 92.030783 143.392689 \nL 91.978515 145.137156 \nL 91.639764 146.79776 \nL 91.029233 148.358283 \nL 90.158863 149.803667 \nL 89.038419 151.118915 \nL 87.676424 152.288159 \nL 86.0814 153.293916 \nL 84.2634 154.116551 \nL 82.235811 154.733929 \nL 80.017437 155.121392 \nL 77.634805 155.252148 \nL 75.124613 155.098263 \nL 72.536089 154.632413 \nL 69.932952 153.830602 \nL 67.394459 152.675938 \nL 65.014876 151.163428 \nL 63.917604 150.27601 \nL 62.900667 149.305412 \nL 61.97834 148.256758 \nL 61.164772 147.136861 \nL 60.473632 145.954289 \nL 59.91773 144.719381 \nL 59.508597 143.444196 \nL 59.256082 142.142361 \nL 59.167943 140.828887 \nL 59.249484 139.519853 \nL 59.503262 138.232024 \nL 59.928846 136.98244 \nL 60.522719 135.787933 \nL 61.278266 134.664611 \nL 62.185892 133.627398 \nL 63.233264 132.689585 \nL 64.405652 131.862443 \nL 65.686363 131.154936 \nL 67.057249 130.57353 \nL 68.499237 130.122132 \nL 69.992879 129.802113 \nL 71.518873 129.612445 \nL 73.058533 129.549919 \nL 74.59421 129.609439 \nL 77.590067 130.066712 \nL 80.396306 130.918237 \nL 82.931743 132.088808 \nL 85.143502 133.502654 \nL 87.00327 135.089426 \nL 88.501919 136.787496 \nL 89.643852 138.545115 \nL 90.441861 140.320056 \nL 90.912981 142.078398 \nL 91.075453 143.792939 \nL 90.946754 145.441527 \nL 90.542512 147.005488 \nL 89.876142 148.468256 \nL 88.95904 149.814183 \nL 87.801178 151.027553 \nL 86.412067 152.091787 \nL 84.801995 152.988807 \nL 82.983555 153.698645 \nL 80.973399 154.199265 \nL 78.794242 154.466756 \nL 76.476985 154.475987 \nL 74.06285 154.201875 \nL 71.605283 153.621417 \nL 69.171214 152.716614 \nL 66.84124 151.478286 \nL 64.708058 149.910587 \nL 63.746655 149.009337 \nL 62.872645 148.035729 \nL 62.098876 146.996037 \nL 61.437752 145.898084 \nL 60.900918 144.751257 \nL 60.498875 143.566457 \nL 60.240643 142.355974 \nL 60.133398 141.133322 \nL 60.182163 139.912964 \nL 60.38954 138.710012 \nL 60.755508 137.539856 \nL 61.277314 136.417743 \nL 61.949447 135.35837 \nL 62.763736 134.375442 \nL 63.709529 133.481306 \nL 64.773978 132.686584 \nL 65.942391 131.999933 \nL 67.198667 131.427835 \nL 68.525746 130.974524 \nL 69.906085 130.641987 \nL 71.322109 130.430045 \nL 72.756655 130.336524 \nL 75.616846 130.487456 \nL 78.370055 131.046905 \nL 80.923187 131.952249 \nL 83.208869 133.134793 \nL 85.184096 134.52663 \nL 86.826552 136.065275 \nL 88.129852 137.696084 \nL 89.098709 139.372965 \nL 89.74465 141.057964 \nL 90.082604 142.720121 \nL 90.128455 144.334102 \nL 89.897494 145.878747 \nL 89.40361 147.33572 \nL 88.659117 148.688327 \nL 87.675033 149.920485 \nL 86.461769 151.01589 \nL 85.030122 151.957358 \nL 83.392536 152.726336 \nL 81.564613 153.302695 \nL 79.566835 153.66477 \nL 77.426416 153.789811 \nL 75.1792 153.654938 \nL 72.87142 153.238717 \nL 70.560976 152.523486 \nL 68.317917 151.498439 \nL 66.223582 150.163373 \nL 64.367961 148.532762 \nL 62.844833 146.639574 \nL 62.236583 145.610557 \nL 61.744648 144.537887 \nL 61.378337 143.431697 \nL 61.145584 142.303318 \nL 61.052645 141.16512 \nL 61.103817 140.030277 \nL 61.301233 138.912491 \nL 61.64468 137.825674 \nL 62.131523 136.783575 \nL 62.756685 135.799434 \nL 63.512732 134.885615 \nL 64.390032 134.053258 \nL 65.376999 133.311998 \nL 66.460418 132.669738 \nL 67.625788 132.132483 \nL 68.857729 131.704237 \nL 70.140388 131.387039 \nL 71.457837 131.180993 \nL 74.135241 131.094045 \nL 76.774186 131.412162 \nL 79.276614 132.086105 \nL 81.566368 133.056509 \nL 83.589846 134.260844 \nL 85.314016 135.6387 \nL 86.722833 137.135133 \nL 87.813058 138.702271 \nL 88.590177 140.299607 \nL 89.064928 141.893442 \nL 89.250606 143.455869 \nL 89.161167 144.963534 \nL 88.810108 146.396398 \nL 88.209957 147.736593 \nL 87.372286 148.967412 \nL 86.308146 150.072464 \nL 85.028825 151.03498 \nL 83.546894 151.837343 \nL 81.877494 152.460782 \nL 80.039816 152.885355 \nL 78.058731 153.09028 \nL 75.966466 153.054666 \nL 73.804149 152.758796 \nL 71.62306 152.186006 \nL 69.485186 151.325249 \nL 67.462753 150.174234 \nL 65.636286 148.742901 \nL 64.090868 147.056817 \nL 62.910425 145.15977 \nL 62.481183 144.151076 \nL 62.170323 143.114709 \nL 61.98455 142.061273 \nL 61.928993 141.002241 \nL 62.006977 139.949704 \nL 62.219848 138.916136 \nL 62.566844 137.914102 \nL 63.045045 136.955945 \nL 63.649376 136.053472 \nL 64.372699 135.217647 \nL 65.205955 134.458305 \nL 66.13841 133.783919 \nL 67.157916 133.201392 \nL 68.251236 132.715942 \nL 69.404391 132.331039 \nL 71.832674 131.868034 \nL 74.32914 131.806579 \nL 76.788824 132.118594 \nL 79.122318 132.75995 \nL 81.259444 133.677254 \nL 83.14997 134.813891 \nL 84.761991 136.114656 \nL 86.078935 137.528799 \nL 87.095978 139.01155 \nL 87.816514 140.524521 \nL 88.249101 142.035305 \nL 88.405041 143.516666 \nL 88.296696 144.945465 \nL 87.936431 146.30161 \nL 87.336162 147.567041 \nL 86.507359 148.724827 \nL 85.461436 149.758411 \nL 84.210466 150.651027 \nL 82.768169 151.385287 \nL 81.151088 151.942992 \nL 79.379958 152.305212 \nL 77.481156 152.452688 \nL 75.488144 152.366656 \nL 73.442754 152.030174 \nL 71.39604 151.429989 \nL 69.408488 150.55894 \nL 67.549136 149.418836 \nL 65.893354 148.023469 \nL 64.518992 146.401369 \nL 63.500901 144.597642 \nL 63.146377 143.646396 \nL 62.904154 142.674195 \nL 62.77963 141.691073 \nL 62.7767 140.707711 \nL 62.897569 139.735251 \nL 63.142628 138.78504 \nL 63.510375 137.868391 \nL 63.997381 136.996295 \nL 64.598326 136.179167 \nL 65.306102 135.426579 \nL 66.111971 134.747013 \nL 67.005774 134.147692 \nL 69.011011 133.211485 \nL 71.22246 132.646014 \nL 73.53632 132.455155 \nL 75.853267 132.621252 \nL 78.085461 133.10999 \nL 80.160963 133.876139 \nL 82.02543 134.869174 \nL 83.641595 136.037868 \nL 84.987181 137.333605 \nL 86.051981 138.712332 \nL 86.834766 140.135406 \nL 87.340413 141.569604 \nL 87.577507 142.986592 \nL 87.556584 144.36213 \nL 87.288937 145.675148 \nL 86.785973 146.906831 \nL 86.05906 148.039779 \nL 85.11974 149.057309 \nL 83.980271 149.942867 \nL 82.654439 150.679635 \nL 81.158581 151.250321 \nL 79.512756 151.63721 \nL 77.742017 151.822496 \nL 75.877678 151.788996 \nL 73.958412 151.521278 \nL 72.031037 151.007279 \nL 70.150681 150.240363 \nL 68.380088 149.221779 \nL 66.787751 147.963278 \nL 65.444673 146.489503 \nL 64.419738 144.839679 \nL 63.773906 143.067966 \nL 63.553846 141.241975 \nL 63.612654 140.332588 \nL 63.785924 139.439147 \nL 64.073035 138.571933 \nL 64.471652 137.741053 \nL 64.977743 136.956196 \nL 65.58564 136.226413 \nL 67.076715 134.963779 \nL 68.872229 134.005338 \nL 70.884891 133.382882 \nL 73.020887 133.106581 \nL 75.187948 133.166563 \nL 77.302055 133.536546 \nL 79.292103 134.178666 \nL 81.102212 135.048452 \nL 82.691989 136.099151 \nL 84.03519 137.285109 \nL 85.117469 138.563937 \nL 85.933722 139.897639 \nL 86.485501 141.252965 \nL 86.778775 142.601152 \nL 86.822141 143.917335 \nL 86.6256 145.179803 \nL 86.199804 146.369204 \nL 85.555772 147.467785 \nL 84.704968 148.458738 \nL 83.659719 149.325664 \nL 82.433859 150.052187 \nL 81.043615 150.621757 \nL 79.508616 151.017687 \nL 77.853001 151.223447 \nL 76.106506 151.223288 \nL 74.305425 151.003239 \nL 72.493252 150.552523 \nL 70.720819 149.865354 \nL 69.04565 148.943054 \nL 67.530332 147.796315 \nL 66.23971 146.447265 \nL 65.236879 144.930917 \nL 64.578185 143.295547 \nL 64.307674 141.601523 \nL 64.45181 139.918284 \nL 65.015322 138.319625 \nL 65.979078 136.877674 \nL 67.300643 135.656591 \nL 68.917561 134.70692 \nL 70.752939 134.061694 \nL 72.72237 133.734815 \nL 74.741055 133.721861 \nL 76.730017 134.002826 \nL 78.620703 134.546102 \nL 80.357598 135.312791 \nL 81.898979 136.260673 \nL 83.216199 137.347447 \nL 84.291974 138.532945 \nL 85.118177 139.780498 \nL 85.693578 141.057448 \nL 86.021769 142.335142 \nL 86.109494 143.588548 \nL 85.965404 144.795656 \nL 85.599274 145.936814 \nL 85.02162 146.994063 \nL 84.243695 147.950546 \nL 83.277781 148.790018 \nL 82.137718 149.496497 \nL 80.839667 150.054087 \nL 79.402964 150.447013 \nL 77.851088 150.65989 \nL 76.212586 150.678292 \nL 74.521892 150.48965 \nL 72.819834 150.084504 \nL 71.153701 149.458091 \nL 69.576614 148.612199 \nL 68.146039 147.557095 \nL 66.921293 146.313292 \nL 65.96001 144.91278 \nL 65.313788 143.399327 \nL 65.023343 141.827439 \nL 65.113892 140.259806 \nL 65.591457 138.763241 \nL 66.440882 137.403559 \nL 67.626067 136.240031 \nL 69.092581 135.320412 \nL 70.772286 134.677326 \nL 72.589254 134.326503 \nL 74.466007 134.267119 \nL 76.329147 134.483902 \nL 78.113696 134.95035 \nL 79.765793 135.632469 \nL 81.243765 136.492324 \nL 82.517828 137.491037 \nL 83.568825 138.590996 \nL 84.386434 139.757239 \nL 84.967218 140.95816 \nL 85.312764 142.165653 \nL 85.428148 143.354892 \nL 85.320732 144.503878 \nL 84.99938 145.592894 \nL 84.474041 146.603942 \nL 83.75567 147.520211 \nL 82.856427 148.325664 \nL 81.790125 149.004715 \nL 80.572857 149.54208 \nL 79.223745 149.922825 \nL 77.765768 150.132622 \nL 76.226535 150.158287 \nL 74.638968 149.988596 \nL 73.041688 149.615415 \nL 71.478987 149.035098 \nL 70.00019 148.250118 \nL 68.658259 147.270718 \nL 67.507513 146.116409 \nL 66.600491 144.81697 \nL 65.984107 143.412636 \nL 65.695418 141.953123 \nL 65.757601 140.495366 \nL 66.176731 139.100008 \nL 66.94001 137.826914 \nL 68.015891 136.730411 \nL 69.356229 135.854874 \nL 70.90019 135.231458 \nL 72.579326 134.876405 \nL 74.323032 134.791101 \nL 76.063563 134.963697 \nL 77.740053 135.37177 \nL 79.301124 135.98551 \nL 80.706119 136.770863 \nL 81.925096 137.69228 \nL 82.937917 138.714771 \nL 83.732794 139.805324 \nL 84.30464 140.93368 \nL 84.653437 142.072595 \nL 84.782836 143.19774 \nL 84.69904 144.287389 \nL 84.410055 145.321977 \nL 83.925256 146.283625 \nL 83.255252 147.155689 \nL 82.412052 147.922395 \nL 81.409399 148.56858 \nL 80.263324 149.079573 \nL 78.99277 149.441247 \nL 77.620301 149.640285 \nL 76.172748 149.664691 \nL 74.681758 149.504538 \nL 73.184055 149.152986 \nL 71.721324 148.607554 \nL 70.339541 147.871522 \nL 69.08763 146.955361 \nL 68.015365 145.87797 \nL 67.170548 144.667474 \nL 66.595566 143.361263 \nL 66.323717 142.005059 \nL 66.375708 140.650864 \nL 66.756877 139.353815 \nL 67.455691 138.16832 \nL 68.443858 137.143862 \nL 69.678171 136.321168 \nL 71.103875 135.72933 \nL 72.659061 135.384211 \nL 74.279421 135.288384 \nL 75.902704 135.432417 \nL 77.472346 135.797082 \nL 78.93993 136.356071 \nL 80.266469 137.078776 \nL 81.422571 137.932728 \nL 82.387806 138.885534 \nL 83.149547 139.90622 \nL 83.701558 140.966044 \nL 84.042593 142.038826 \nL 84.175145 143.100964 \nL 84.104432 144.131206 \nL 83.837689 145.110313 \nL 83.383747 146.020675 \nL 82.752886 146.845922 \nL 81.956931 147.570628 \nL 81.009546 148.1801 \nL 79.92668 148.660287 \nL 78.72712 148.997863 \nL 77.433062 149.180502 \nL 76.070659 149.197342 \nL 74.670424 149.039714 \nL 73.267399 148.702058 \nL 71.900928 148.183057 \nL 70.61397 147.48685 \nL 69.451776 146.624282 \nL 68.459949 145.613882 \nL 67.681859 144.482488 \nL 67.155588 143.265145 \nL 66.910713 142.004159 \nL 66.965261 140.74721 \nL 67.323378 139.544542 \nL 67.974073 138.445544 \nL 68.891383 137.495085 \nL 70.036024 136.730214 \nL 71.358331 136.177626 \nL 72.802096 135.852238 \nL 74.308714 135.757111 \nL 75.821125 135.884457 \nL 77.287051 136.217512 \nL 78.661267 136.73289 \nL 79.90685 137.402976 \nL 80.99546 138.198116 \nL 81.906901 139.088384 \nL 82.628187 140.044843 \nL 83.152368 141.040332 \nL 83.477315 142.04988 \nL 83.604623 143.050749 \nL 83.538704 144.022321 \nL 83.286139 144.94583 \nL 82.855282 145.804045 \nL 82.256099 146.580985 \nL 81.500238 147.261648 \nL 80.601266 147.831852 \nL 79.575052 148.278204 \nL 78.440215 148.588185 \nL 77.218613 148.750433 \nL 75.935762 148.755212 \nL 74.621141 148.595064 \nL 73.308233 148.265669 \nL 72.034239 147.766844 \nL 70.839335 147.103615 \nL 69.76539 146.287255 \nL 68.854134 145.336076 \nL 68.144802 144.27586 \nL 67.671409 143.139642 \nL 67.459919 141.966748 \nL 67.525649 140.801029 \nL 67.87129 139.688322 \nL 68.485941 138.673399 \nL 69.345333 137.796826 \nL 70.413349 137.092062 \nL 71.64463 136.583252 \nL 72.987941 136.284066 \nL 74.389825 136.197538 \nL 75.798046 136.31697 \nL 77.164475 136.627506 \nL 78.447138 137.108158 \nL 79.611394 137.733912 \nL 80.630282 138.477646 \nL 81.48421 139.311721 \nL 82.160212 140.209175 \nL 82.650972 141.144449 \nL 82.953777 142.093834 \nL 83.069561 143.035562 \nL 83.00211 143.949753 \nL 82.757469 144.818215 \nL 82.343587 145.624217 \nL 81.77016 146.352236 \nL 81.048675 146.987762 \nL 80.192601 147.517197 \nL 79.217709 147.927818 \nL 78.142445 148.207934 \nL 76.988322 148.347148 \nL 75.780245 148.336816 \nL 74.546696 148.170659 \nL 73.319697 147.845553 \nL 72.134428 147.362415 \nL 71.028458 146.727125 \nL 70.040495 145.951399 \nL 69.208655 145.053406 \nL 68.568307 144.058008 \nL 68.149633 142.996459 \nL 67.975165 141.905431 \nL 68.05756 140.825322 \nL 68.397969 139.797957 \nL 68.985307 138.863922 \nL 69.796565 138.059746 \nL 70.798236 137.415444 \nL 71.948652 136.952658 \nL 73.20096 136.683594 \nL 74.506321 136.610975 \nL 75.816955 136.728777 \nL 77.088658 137.023622 \nL 78.28266 137.476507 \nL 79.366696 138.064646 \nL 80.315369 138.763181 \nL 81.109957 139.546594 \nL 81.737798 140.389773 \nL 82.19148 141.26874 \nL 82.467951 142.161055 \nL 82.567695 143.045973 \nL 82.494032 143.904426 \nL 82.252597 144.718885 \nL 81.851014 145.473188 \nL 81.298754 146.152352 \nL 80.607155 146.742426 \nL 79.789593 147.230422 \nL 78.861727 147.604345 \nL 77.303827 147.92796 \nL 75.613589 147.940617 \nL 73.881112 147.623087 \nL 72.754187 147.225544 \nL 71.689401 146.683607 \nL 70.72235 146.006616 \nL 69.888481 145.209606 \nL 69.221297 144.313633 \nL 68.750245 143.345612 \nL 68.498537 142.337648 \nL 68.481084 141.325713 \nL 68.702872 140.347812 \nL 69.158015 139.441691 \nL 69.829683 138.642422 \nL 70.690991 137.980042 \nL 71.70675 137.477674 \nL 72.835894 137.150331 \nL 74.03425 137.004427 \nL 75.257321 137.038138 \nL 76.462751 137.242352 \nL 77.612275 137.602071 \nL 78.673023 138.097994 \nL 79.618176 138.708104 \nL 80.427068 139.409024 \nL 81.084844 140.177176 \nL 81.581881 140.98958 \nL 81.913025 141.824377 \nL 82.076873 142.661122 \nL 82.075093 143.480859 \nL 81.911897 144.26609 \nL 81.593665 145.00066 \nL 81.12874 145.669625 \nL 80.527362 146.259132 \nL 79.801758 146.756349 \nL 78.512514 147.303612 \nL 77.035484 147.582153 \nL 75.443231 147.565079 \nL 73.822834 147.236816 \nL 72.274594 146.59772 \nL 71.33625 146.008541 \nL 70.511335 145.302701 \nL 69.831377 144.49808 \nL 69.324735 143.617919 \nL 69.014674 142.690324 \nL 68.917482 141.747278 \nL 69.040899 140.823145 \nL 69.383078 139.952753 \nL 69.932238 139.169255 \nL 70.667158 138.502047 \nL 71.558446 137.974911 \nL 72.570471 137.604693 \nL 73.663722 137.40062 \nL 74.79729 137.364285 \nL 75.931201 137.49029 \nL 77.028362 137.767273 \nL 78.534932 138.429995 \nL 79.798026 139.3297 \nL 80.757026 140.393492 \nL 81.376761 141.548707 \nL 81.593762 142.335713 \nL 81.653463 143.114242 \nL 81.558662 143.866957 \nL 81.314491 144.577802 \nL 80.928143 145.231926 \nL 80.1026 146.076977 \nL 79.017474 146.721787 \nL 77.722885 147.130053 \nL 76.281091 147.272295 \nL 74.767439 147.128326 \nL 73.27 146.690827 \nL 71.886883 145.969731 \nL 71.078934 145.345968 \nL 70.396925 144.624845 \nL 69.867924 143.826465 \nL 69.514821 142.975478 \nL 69.35464 142.100289 \nL 69.397056 141.231878 \nL 69.64331 140.402176 \nL 70.085713 139.642233 \nL 70.707821 138.98034 \nL 71.485336 138.440289 \nL 72.387615 138.040038 \nL 73.379639 137.790844 \nL 74.424184 137.697037 \nL 75.483979 137.756345 \nL 77.02563 138.113295 \nL 78.418208 138.749182 \nL 79.580467 139.602953 \nL 80.456198 140.607038 \nL 81.012423 141.693683 \nL 81.235782 142.798832 \nL 81.128623 143.863953 \nL 80.705834 144.836472 \nL 79.992956 145.669539 \nL 79.025529 146.321749 \nL 77.849502 146.757334 \nL 76.522099 146.947168 \nL 75.112512 146.870811 \nL 73.701562 146.519544 \nL 72.379469 145.900126 \nL 71.240939 145.038507 \nL 70.629436 144.352163 \nL 70.16454 143.598493 \nL 69.866205 142.801035 \nL 69.748722 141.986485 \nL 69.819479 141.183548 \nL 70.078098 140.421437 \nL 70.516117 139.728261 \nL 71.117266 139.12933 \nL 71.858349 138.645701 \nL 72.710674 138.293039 \nL 73.641801 138.080907 \nL 75.111346 138.031886 \nL 76.567804 138.292208 \nL 77.909751 138.824983 \nL 79.055288 139.577153 \nL 79.94505 140.487275 \nL 80.54167 141.49179 \nL 80.827088 142.529257 \nL 80.799222 143.542667 \nL 80.468985 144.480362 \nL 79.858266 145.296132 \nL 78.99902 145.949147 \nL 77.933263 146.40417 \nL 76.713606 146.632423 \nL 75.4037 146.613307 \nL 74.077878 146.336983 \nL 72.819236 145.807609 \nL 71.71545 145.046594 \nL 70.852044 144.09493 \nL 70.447495 143.383866 \nL 70.200537 142.637187 \nL 70.122968 141.879941 \nL 70.22011 141.138669 \nL 70.490158 140.440084 \nL 70.92399 139.809563 \nL 71.505531 139.269696 \nL 72.21263 138.839047 \nL 73.018373 138.531173 \nL 74.345717 138.315599 \nL 75.721214 138.396752 \nL 77.043754 138.753235 \nL 78.226064 139.344429 \nL 79.199975 140.117592 \nL 79.917937 141.014322 \nL 80.351867 141.975578 \nL 80.490612 142.944934 \nL 80.337128 143.870276 \nL 79.906198 144.704494 \nL 79.222988 145.405652 \nL 78.322512 145.937175 \nL 77.249733 146.268416 \nL 76.059836 146.375903 \nL 74.818122 146.245293 \nL 73.598805 145.874007 \nL 72.482118 145.274137 \nL 71.549238 144.474926 \nL 70.875068 143.523878 \nL 70.519599 142.485479 \nL 70.478851 141.782457 \nL 70.600046 141.099297 \nL 70.880126 140.460354 \nL 71.309437 139.888482 \nL 71.872143 139.403812 \nL 72.918881 138.874663 \nL 74.130027 138.612292 \nL 75.408896 138.626322 \nL 76.660336 138.902574 \nL 77.799738 139.407757 \nL 78.758773 140.095553 \nL 79.487759 140.912654 \nL 79.95539 141.803748 \nL 80.146874 142.714907 \nL 80.061555 143.595671 \nL 79.71076 144.400026 \nL 79.116308 145.086829 \nL 78.309769 145.620135 \nL 77.332299 145.969757 \nL 76.234696 146.112343 \nL 75.077161 146.033092 \nL 73.928198 145.728021 \nL 72.862055 145.206479 \nL 71.954326 144.493369 \nL 71.275671 143.63023 \nL 70.884169 142.674347 \nL 70.817517 141.695205 \nL 70.960194 141.066769 \nL 71.248619 140.483726 \nL 71.931004 139.738529 \nL 72.861175 139.198088 \nL 73.962376 138.899528 \nL 75.146769 138.857145 \nL 76.325491 139.062944 \nL 77.417302 139.490224 \nL 78.354596 140.098769 \nL 79.086411 140.840356 \nL 79.578897 141.663501 \nL 79.814119 142.517031 \nL 79.788111 143.35235 \nL 79.508949 144.124729 \nL 78.995247 144.793941 \nL 78.275278 145.324729 \nL 77.386611 145.68738 \nL 76.375977 145.858716 \nL 75.298905 145.823572 \nL 74.218686 145.576775 \nL 73.204087 145.12534 \nL 72.325505 144.490434 \nL 71.64946 143.708407 \nL 71.231858 142.830175 \nL 71.110937 141.918324 \nL 71.301336 141.041833 \nL 71.790737 140.268956 \nL 72.540192 139.659464 \nL 73.488366 139.257881 \nL 74.558924 139.089076 \nL 75.669438 139.15699 \nL 76.740057 139.446421 \nL 77.700351 139.926878 \nL 78.493695 140.557444 \nL 79.079079 141.29152 \nL 79.431001 142.080752 \nL 79.538167 142.877819 \nL 79.401803 143.638229 \nL 79.034092 144.321343 \nL 78.457054 144.891035 \nL 77.701894 145.316258 \nL 76.808661 145.571832 \nL 75.825892 145.639631 \nL 74.80984 145.51018 \nL 73.822806 145.184543 \nL 72.930216 144.676182 \nL 72.196238 144.01225 \nL 71.678135 143.233696 \nL 71.419932 142.393598 \nL 71.44647 141.553348 \nL 71.759162 140.777001 \nL 72.334567 140.124397 \nL 73.126446 139.644547 \nL 74.071013 139.370385 \nL 75.094391 139.316114 \nL 76.120676 139.477297 \nL 77.079127 139.833324 \nL 77.909498 140.351327 \nL 78.565063 140.990594 \nL 79.013587 141.706589 \nL 79.236851 142.45411 \nL 79.229389 143.18955 \nL 78.997045 143.87232 \nL 78.555752 144.465746 \nL 77.930655 144.937746 \nL 77.155583 145.261532 \nL 76.272611 145.416583 \nL 75.331425 145.389945 \nL 74.388051 145.177833 \nL 73.502649 144.787307 \nL 72.736054 144.237662 \nL 72.145107 143.560983 \nL 71.777133 142.801364 \nL 71.664318 142.012332 \nL 71.819034 141.252443 \nL 72.231264 140.579561 \nL 72.868861 140.044638 \nL 73.680866 139.686247 \nL 74.603302 139.526908 \nL 75.56627 139.57182 \nL 76.501006 139.809925 \nL 77.345723 140.216743 \nL 78.049588 140.758183 \nL 78.574737 141.39441 \nL 78.896648 142.08319 \nL 79.00348 142.782491 \nL 78.894907 143.452293 \nL 78.580918 144.055781 \nL 78.080833 144.560148 \nL 77.422605 144.937347 \nL 76.642287 145.164921 \nL 75.783419 145.227093 \nL 74.896042 145.116109 \nL 74.034984 144.833727 \nL 73.257139 144.392569 \nL 72.617662 143.816961 \nL 72.165248 143.142743 \nL 71.936999 142.415653 \nL 71.95372 141.688084 \nL 72.216604 141.014408 \nL 72.70617 140.445474 \nL 73.383905 140.023243 \nL 74.196417 139.776566 \nL 75.081322 139.718845 \nL 75.973754 139.847846 \nL 76.812367 140.147437 \nL 77.543929 140.590606 \nL 78.126211 141.142909 \nL 78.529238 141.76585 \nL 78.735277 142.41968 \nL 78.738095 143.06553 \nL 78.54192 143.666851 \nL 78.160442 144.190495 \nL 77.616019 144.607484 \nL 76.939022 144.893828 \nL 76.16724 145.031457 \nL 75.068203 144.965778 \nL 73.998688 144.614747 \nL 73.291243 144.180438 \nL 72.72127 143.626117 \nL 72.332191 142.986977 \nL 72.15581 142.30678 \nL 72.208274 141.634587 \nL 72.487441 141.020355 \nL 72.972367 140.509957 \nL 73.625165 140.140434 \nL 74.39506 139.93645 \nL 75.223804 139.908426 \nL 76.051552 140.052614 \nL 77.057667 140.483211 \nL 77.852571 141.125976 \nL 78.262454 141.698451 \nL 78.490285 142.307281 \nL 78.527896 142.915611 \nL 78.377282 143.48843 \nL 78.0497 143.993707 \nL 77.564875 144.403256 \nL 76.950331 144.693562 \nL 75.989983 144.865052 \nL 74.960302 144.769672 \nL 73.973889 144.409461 \nL 73.147024 143.816379 \nL 72.695977 143.255656 \nL 72.429716 142.63599 \nL 72.370554 142.000861 \nL 72.524981 141.396548 \nL 72.882236 140.867832 \nL 73.414945 140.453484 \nL 74.081838 140.182471 \nL 74.832083 140.071426 \nL 75.866693 140.176311 \nL 76.824866 140.544831 \nL 77.599506 141.121387 \nL 78.113305 141.831753 \nL 78.299768 142.403134 \nL 78.307611 142.969211 \nL 78.139898 143.497296 \nL 77.808463 143.957605 \nL 77.147273 144.421662 \nL 76.298265 144.67116 \nL 75.348444 144.676227 \nL 74.399734 144.429851 \nL 73.560833 143.951909 \nL 72.935175 143.291236 \nL 72.657095 142.720544 \nL 72.569036 142.128825 \nL 72.67937 141.558706 \nL 72.980742 141.052031 \nL 73.450356 140.645796 \nL 74.052138 140.368562 \nL 74.980374 140.228248 \nL 75.942017 140.355658 \nL 76.820833 140.724172 \nL 77.519472 141.280091 \nL 77.968496 141.953203 \nL 78.129516 142.666621 \nL 77.994402 143.344652 \nL 77.582671 143.918363 \nL 76.938543 144.329719 \nL 76.127996 144.535196 \nL 75.235208 144.509575 \nL 74.357192 144.249883 \nL 73.595453 143.778792 \nL 73.044305 143.145792 \nL 72.776903 142.424352 \nL 72.787375 141.878723 \nL 72.98046 141.373031 \nL 73.342044 140.944132 \nL 73.844643 140.622684 \nL 74.667131 140.397118 \nL 75.564358 140.421412 \nL 76.425312 140.683208 \nL 77.151109 141.141709 \nL 77.665815 141.736583 \nL 77.921648 142.397469 \nL 77.899803 143.05214 \nL 77.608754 143.632684 \nL 77.081639 144.080026 \nL 76.373435 144.347676 \nL 75.557653 144.405298 \nL 74.721769 144.242373 \nL 73.960266 143.871523 \nL 73.364741 143.330263 \nL 73.011584 142.679626 \nL 72.949265 141.998358 \nL 73.10137 141.519148 \nL 73.413007 141.105881 \nL 74.034586 140.707315 \nL 74.814266 140.524817 \nL 75.651494 140.574806 \nL 76.443864 140.842789 \nL 77.101203 141.288692 \nL 77.555105 141.854991 \nL 77.763526 142.475419 \nL 77.711535 143.082362 \nL 77.409817 143.612637 \nL 76.892259 144.011836 \nL 76.213154 144.237988 \nL 75.443773 144.265024 \nL 74.667546 144.086154 \nL 73.972982 143.716671 \nL 73.444018 143.195036 \nL 73.148512 142.580854 \nL 73.126855 141.948764 \nL 73.383736 141.378354 \nL 73.885803 140.941875 \nL 74.566565 140.692617 \nL 75.337581 140.657121 \nL 76.102852 140.832824 \nL 76.772775 141.191134 \nL 77.274761 141.684006 \nL 77.559428 142.2519 \nL 77.60278 142.831225 \nL 77.405716 143.360429 \nL 76.992119 143.784711 \nL 76.406338 144.059834 \nL 75.710068 144.155514 \nL 74.978153 144.05865 \nL 74.292608 143.776129 \nL 73.734344 143.336346 \nL 73.372975 142.788301 \nL 73.256143 142.197223 \nL 73.400721 141.636451 \nL 73.788599 141.176689 \nL 74.368777 140.874875 \nL 75.065617 140.765557 \nL 75.791219 140.856713 \nL 76.458663 141.130712 \nL 76.993192 141.54916 \nL 77.33969 142.059882 \nL 77.466245 142.604112 \nL 77.364758 143.122759 \nL 77.049683 143.5614 \nL 76.555889 143.87432 \nL 75.93584 144.027896 \nL 75.255921 144.003764 \nL 74.59131 143.801573 \nL 74.018892 143.440798 \nL 73.608317 142.960649 \nL 73.412138 142.417098 \nL 73.456952 141.876524 \nL 73.737895 141.406516 \nL 74.218416 141.065622 \nL 74.835874 140.894329 \nL 75.511681 140.909608 \nL 76.313494 141.177551 \nL 76.935959 141.663805 \nL 77.235334 142.147597 \nL 77.326943 142.656048 \nL 77.205651 143.133998 \nL 76.887486 143.531091 \nL 76.407541 143.80561 \nL 75.817145 143.927782 \nL 75.021781 143.845137 \nL 74.292661 143.511655 \nL 73.847962 143.099437 \nL 73.587555 142.607853 \nL 73.545512 142.095942 \nL 73.728184 141.627039 \nL 74.112173 141.259529 \nL 74.647567 141.037945 \nL 75.265842 140.98662 \nL 76.038923 141.162298 \nL 76.681954 141.562692 \nL 77.087182 142.108282 \nL 77.197543 142.583226 \nL 77.10817 143.035998 \nL 76.831656 143.418494 \nL 76.398946 143.690363 \nL 75.710685 143.831127 \nL 74.968595 143.727681 \nL 74.302918 143.393675 \nL 73.836471 142.884843 \nL 73.669356 142.412732 \nL 73.710881 141.944397 \nL 73.956237 141.537816 \nL 74.37377 141.243076 \nL 74.909694 141.094922 \nL 75.642774 141.136499 \nL 76.317986 141.412536 \nL 76.817112 141.864709 \nL 77.059933 142.40793 \nL 77.045503 142.844158 \nL 76.849441 143.230756 \nL 76.494641 143.526725 \nL 75.888214 143.722074 \nL 75.197807 143.692615 \nL 74.543394 143.440123 \nL 74.043757 143.005768 \nL 73.79404 142.466618 \nL 73.809602 142.027166 \nL 74.016574 141.639077 \nL 74.388384 141.350004 \nL 75.010835 141.178432 \nL 75.694316 141.240701 \nL 76.311994 141.517645 \nL 76.756351 141.952042 \nL 76.956211 142.462982 \nL 76.884366 142.961376 \nL 76.557919 143.363702 \nL 76.03383 143.603115 \nL 75.401036 143.638448 \nL 74.768747 143.461233 \nL 74.250172 143.099577 \nL 73.94233 142.616631 \nL 73.905277 142.101346 \nL 74.077799 141.731762 \nL 74.510196 141.396892 \nL 75.101448 141.259027 \nL 75.737555 141.338936 \nL 76.301342 141.615019 \nL 76.6952 142.03135 \nL 76.856238 142.511051 \nL 76.763008 142.970706 \nL 76.435535 143.333108 \nL 75.930857 143.537724 \nL 75.335077 143.549104 \nL 74.75166 143.363195 \nL 74.285518 143.010304 \nL 74.023924 142.552683 \nL 74.017707 142.074873 \nL 74.268353 141.667315 \nL 74.726232 141.406772 \nL 75.301656 141.339622 \nL 75.885349 141.473172 \nL 76.371687 141.776869 \nL 76.678024 142.191427 \nL 76.75663 142.641852 \nL 76.59919 143.050587 \nL 76.235592 143.349022 \nL 75.728667 143.486876 \nL 75.16551 143.439652 \nL 74.55467 143.149803 \nL 74.208676 142.762351 \nL 74.082497 142.315811 \nL 74.200802 141.89373 \nL 74.540291 141.575833 \nL 75.034197 141.420716 \nL 75.587417 141.453732 \nL 76.185929 141.723339 \nL 76.573118 142.167881 \nL 76.667864 142.588392 \nL 76.541096 142.976768 \nL 76.217505 143.267458 \nL 75.753443 143.411418 \nL 75.124769 143.356882 \nL 74.568033 143.067295 \nL 74.265354 142.696627 \nL 74.171982 142.279178 \nL 74.305986 141.893021 \nL 74.64096 141.610781 \nL 75.111375 141.48403 \nL 75.727407 141.563121 \nL 76.247228 141.864574 \nL 76.542816 142.304304 \nL 76.567808 142.694863 \nL 76.389307 143.035592 \nL 76.040104 143.268947 \nL 75.482518 143.352997 \nL 74.906203 143.204476 \nL 74.458525 142.8587 \nL 74.258017 142.403787 \nL 74.321527 142.027948 \nL 74.583468 141.730452 \nL 74.992585 141.566244 \nL 75.566186 141.582333 \nL 76.086028 141.817904 \nL 76.421728 142.205613 \nL 76.495249 142.644005 \nL 76.345593 142.969044 \nL 75.954448 143.228648 \nL 75.426758 143.287583 \nL 74.894457 143.13013 \nL 74.494065 142.794442 \nL 74.331551 142.366576 \nL 74.411806 142.021216 \nL 74.673266 141.755179 \nL 75.152647 141.607597 \nL 75.687944 141.677818 \nL 76.139245 141.941124 \nL 76.394975 142.324603 \nL 76.397001 142.729392 \nL 76.149977 143.055436 \nL 75.717383 143.223397 \nL 75.207147 143.191692 \nL 74.748194 142.96709 \nL 74.459678 142.605843 \nL 74.418468 142.202056 \nL 74.635177 141.863137 \nL 75.049394 141.678671 \nL 75.547969 141.694263 \nL 75.999322 141.900343 \nL 76.29004 142.23856 \nL 76.351921 142.620494 \nL 76.174635 142.950761 \nL 75.80501 143.148651 \nL 75.335703 143.165548 \nL 74.820064 142.952558 \nL 74.535823 142.622689 \nL 74.478552 142.245855 \nL 74.663097 141.922009 \nL 75.038037 141.736672 \nL 75.501056 141.736116 \nL 75.989775 141.960076 \nL 76.266293 142.342211 \nL 76.265833 142.694662 \nL 76.048275 142.977589 \nL 75.669795 143.121778 \nL 75.152806 143.069401 \nL 74.724131 142.798327 \nL 74.543191 142.461172 \nL 74.587166 142.119685 \nL 74.843195 141.864393 \nL 75.240728 141.761674 \nL 75.740054 141.863499 \nL 76.111807 142.160471 \nL 76.233492 142.545357 \nL 76.109933 142.845297 \nL 75.809245 143.039077 \nL 75.337596 143.069513 \nL 74.890377 142.881627 \nL 74.623287 142.53955 \nL 74.612124 142.214149 \nL 74.806733 141.949702 \nL 75.153337 141.815436 \nL 75.623856 141.864475 \nL 76.007453 142.109948 \nL 76.175709 142.461901 \nL 76.107311 142.756236 \nL 75.861704 142.966502 \nL 75.436525 143.038418 \nL 75.001705 142.902773 \nL 74.707887 142.605729 \nL 74.658756 142.251316 \nL 74.826503 141.997864 \nL 75.202464 141.853314 \nL 75.64031 141.914566 \nL 75.986381 142.154545 \nL 76.125154 142.485979 \nL 76.014873 142.794729 \nL 75.69669 142.977451 \nL 75.279749 142.973343 \nL 74.865556 142.74468 \nL 74.699538 142.426276 \nL 74.780716 142.114113 \nL 75.07802 141.918967 \nL 75.482578 141.907738 \nL 75.892282 142.11604 \nL 76.068165 142.415888 \nL 76.013226 142.71727 \nL 75.750105 142.91871 \nL 75.313223 142.942956 \nL 74.918605 142.740705 \nL 74.744082 142.402698 \nL 74.837382 142.116788 \nL 75.126425 141.946543 \nL 75.559493 141.965031 \nL 75.911748 142.193404 \nL 76.029796 142.524158 \nL 75.901935 142.781438 \nL 75.604194 142.917651 \nL 75.188566 142.869379 \nL 74.870922 142.627389 \nL 74.794836 142.301092 \nL 74.955795 142.064257 \nL 75.320523 141.959691 \nL 75.713234 142.070973 \nL 75.957929 142.342122 \nL 75.950971 142.649172 \nL 75.74226 142.84029 \nL 75.369004 142.885071 \nL 75.012789 142.729061 \nL 74.833667 142.442472 \nL 74.888547 142.186934 \nL 75.164822 142.00945 \nL 75.541412 142.027204 \nL 75.872268 142.260739 \nL 75.942404 142.550967 \nL 75.771488 142.785241 \nL 75.438027 142.861743 \nL 75.054409 142.721774 \nL 74.874992 142.458547 \nL 74.934389 142.187884 \nL 75.20283 142.03322 \nL 75.596191 142.079085 \nL 75.870608 142.322781 \nL 75.891574 142.592794 \nL 75.694536 142.788888 \nL 75.326285 142.817729 \nL 75.002922 142.632647 \nL 74.90643 142.338661 \nL 75.057665 142.121974 \nL 75.360225 142.050297 \nL 75.706854 142.176005 \nL 75.874443 142.443236 \nL 75.798921 142.677512 \nL 75.54747 142.801249 \nL 75.196229 142.744559 \nL 74.962701 142.515241 \nL 74.978192 142.243832 \nL 75.194842 142.093477 \nL 75.536607 142.111911 \nL 75.810105 142.339442 \nL 75.814323 142.601087 \nL 75.588269 142.766331 \nL 75.259978 142.745306 \nL 74.998058 142.522903 \nL 74.999685 142.268208 \nL 75.22642 142.112003 \nL 75.578553 142.155467 \nL 75.800031 142.388236 \nL 75.763381 142.625974 \nL 75.525143 142.754001 \nL 75.189333 142.686488 \nL 75.001372 142.448194 \nL 75.068465 142.223955 \nL 75.320446 142.122758 \nL 75.6383 142.217279 \nL 75.786009 142.457638 \nL 75.691169 142.661541 \nL 75.402879 142.734329 \nL 75.095743 142.58064 \nL 75.032748 142.333956 \nL 75.194634 142.17087 \nL 75.498636 142.168781 \nL 75.739156 142.371996 \nL 75.714676 142.602702 \nL 75.476673 142.715759 \nL 75.165874 142.61901 \nL 75.050182 142.373827 \nL 75.196924 142.193454 \nL 75.478744 142.182517 \nL 75.711432 142.365948 \nL 75.699531 142.582959 \nL 75.484016 142.695857 \nL 75.19129 142.614207 \nL 75.072569 142.387863 \nL 75.20013 142.214561 \nL 75.487446 142.204103 \nL 75.703237 142.402774 \nL 75.658317 142.598466 \nL 75.411756 142.678761 \nL 75.143422 142.541527 \nL 75.114093 142.322712 \nL 75.293426 142.203792 \nL 75.582713 142.272405 \nL 75.68927 142.494002 \nL 75.539739 142.648363 \nL 75.256704 142.615904 \nL 75.114425 142.411443 \nL 75.227397 142.242555 \nL 75.499877 142.243374 \nL 75.668667 142.426838 \nL 75.593826 142.603115 \nL 75.339623 142.634234 \nL 75.14031 142.457117 \nL 75.198371 142.280757 \nL 75.440604 142.238968 \nL 75.643401 142.402277 \nL 75.587442 142.586875 \nL 75.353122 142.623422 \nL 75.160054 142.463258 \nL 75.21948 142.285407 \nL 75.448663 142.255049 \nL 75.633678 142.42916 \nL 75.552346 142.591162 \nL 75.307772 142.593947 \nL 75.168136 142.406255 \nL 75.286165 142.268292 \nL 75.524744 142.302967 \nL 75.614373 142.496091 \nL 75.468025 142.605098 \nL 75.232464 142.526698 \nL 75.211004 142.335083 \nL 75.407766 142.271137 \nL 75.599894 142.417054 \nL 75.53116 142.571468 \nL 75.302627 142.565023 \nL 75.202595 142.382768 \nL 75.349179 142.280288 \nL 75.565131 142.374467 \nL 75.550205 142.542705 \nL 75.345654 142.572113 \nL 75.212185 142.403957 \nL 75.330482 142.293781 \nL 75.5413 142.362489 \nL 75.544208 142.531533 \nL 75.35584 142.56505 \nL 75.224217 142.41135 \nL 75.342511 142.301999 \nL 75.543957 142.383176 \nL 75.520337 142.536773 \nL 75.32527 142.542907 \nL 75.24585 142.376387 \nL 75.407541 142.311379 \nL 75.554817 142.444284 \nL 75.451061 142.55449 \nL 75.262131 142.474455 \nL 75.305534 142.333055 \nL 75.502892 142.364688 \nL 75.519299 142.510609 \nL 75.511909 142.517631 \nL 75.333835 142.528392 \nL 75.266038 142.383346 \nL 75.270789 142.375169 \nL 75.43063 142.333095 \nL 75.531423 142.470663 \nL 75.528459 142.479146 \nL 75.386735 142.538409 \nL 75.267896 142.407031 \nL 75.390459 142.332996 \nL 75.524887 142.456283 \nL 75.40307 142.533512 \nL 75.276013 142.41261 \nL 75.396535 142.340338 \nL 75.515733 142.45903 \nL 75.513928 142.466635 \nL 75.377556 142.522676 \nL 75.286905 142.402773 \nL 75.29324 142.388952 \nL 75.439242 142.357651 \nL 75.502021 142.474973 \nL 75.483288 142.498382 \nL 75.319114 142.484256 \nL 75.31186 142.377615 \nL 75.345601 142.357797 \nL 75.499386 142.428858 \nL 75.439091 142.512501 \nL 75.405401 142.515195 \nL 75.298722 142.41933 \nL 75.304 142.40034 \nL 75.442075 142.371527 \nL 75.488301 142.470254 \nL 75.453799 142.501525 \nL 75.30933 142.448317 \nL 75.307284 142.442058 \nL 75.360041 142.365663 \nL 75.398167 142.36351 \nL 75.486973 142.45416 \nL 75.469041 142.484899 \nL 75.326491 142.466733 \nL 75.322555 142.461351 \nL 75.341206 142.378734 \nL 75.39479 142.36801 \nL 75.481411 142.450354 \nL 75.461837 142.483605 \nL 75.329278 142.461913 \nL 75.32303 142.451533 \nL 75.353465 142.378427 \nL 75.405481 142.373935 \nL 75.475313 142.452071 \nL 75.434122 142.492353 \nL 75.323685 142.437571 \nL 75.327271 142.408078 \nL 75.432258 142.38746 \nL 75.452012 142.401606 \nL 75.457062 142.474177 \nL 75.380792 142.487543 \nL 75.329554 142.416211 \nL 75.464009 142.454528 \nL 75.397493 142.439552 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pf6771b3e79\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"282.812703pt\" version=\"1.1\" viewBox=\"0 0 293.046528 282.812703\" width=\"293.046528pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:31:35.241094</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 282.812703 \nL 293.046528 282.812703 \nL 293.046528 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 30.649173 208.79334 \nL 118.351637 134.959642 \nL 117.264199 28.641901 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 50.271552 215.202009 \nL 136.929886 140.359605 \nL 136.63269 33.551249 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 70.174564 221.702333 \nL 155.751816 145.830397 \nL 156.266208 38.527773 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 90.364274 228.296292 \nL 174.822253 151.373421 \nL 176.170233 43.572863 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 110.84692 234.985924 \nL 194.146152 156.990115 \nL 196.350392 48.687945 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 131.628925 241.773327 \nL 213.7286 162.68196 \nL 216.812472 53.874486 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 152.7169 248.660659 \nL 233.574821 168.450473 \nL 237.562423 59.133994 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 31.412753 208.150508 \nL 29.118742 210.081757 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −15 -->\n     <g transform=\"translate(12.562191 232.063144)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 51.026476 214.550019 \nL 48.758448 216.5088 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(32.204183 238.60744)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 70.920505 221.040989 \nL 68.679441 223.027894 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- −5 -->\n     <g transform=\"translate(55.309396 245.245682)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 91.100894 227.62539 \nL 88.887809 229.64103 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 0 -->\n     <g transform=\"translate(79.71129 251.979909)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 111.57387 234.305257 \nL 109.389816 236.350258 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 5 -->\n     <g transform=\"translate(100.21772 258.812217)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 132.345842 241.082679 \nL 130.191907 243.157689 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 10 -->\n     <g transform=\"translate(117.84376 265.744764)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 153.42341 247.959809 \nL 151.300721 250.065494 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 15 -->\n     <g transform=\"translate(138.958578 272.779774)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 26.417944 91.67931 \nL 31.621475 204.06934 \nL 180.702852 252.487456 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 38.960592 82.526257 \nL 43.55657 194.065106 \nL 191.524418 241.381867 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 51.214301 73.584058 \nL 55.228638 184.281347 \nL 202.094934 230.533917 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 63.188943 64.84551 \nL 66.646278 174.710855 \nL 212.423037 219.934743 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.893943 56.303734 \nL 77.817719 165.346732 \nL 222.51697 209.575885 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 86.338307 47.952158 \nL 88.75084 156.182373 \nL 232.384608 199.44926 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.530646 39.784499 \nL 99.453186 147.211454 \nL 242.033478 189.547147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 108.479193 31.794748 \nL 109.931989 138.427914 \nL 251.470774 179.862159 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 179.44643 252.0794 \nL 183.21895 253.304626 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −15 -->\n     <g transform=\"translate(183.052142 273.533015)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 190.278123 240.983331 \nL 194.020198 242.179961 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- −10 -->\n     <g transform=\"translate(193.728624 262.262939)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 200.858638 230.144571 \nL 204.570656 231.313596 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- −5 -->\n     <g transform=\"translate(207.338527 251.254471)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 211.19661 219.554273 \nL 214.878958 220.696637 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 0 -->\n     <g transform=\"translate(221.717725 240.498607)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_14\">\n     <path d=\"M 221.300285 209.20399 \nL 224.953348 210.320594 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 5 -->\n     <g transform=\"translate(231.675923 229.98675)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_15\">\n     <path d=\"M 231.17754 199.085654 \nL 234.801697 200.177361 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(238.229493 219.710691)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_16\">\n     <path d=\"M 240.835901 189.191556 \nL 244.431528 190.259188 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 15 -->\n     <g transform=\"translate(247.748367 209.662583)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_17\">\n     <path d=\"M 250.282564 179.514321 \nL 253.850035 180.558667 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 20 -->\n     <g transform=\"translate(257.058404 199.834925)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_18\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 256.97117 157.885417 \nL 114.981321 117.439227 \nL 26.448165 190.147719 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.668006 142.66829 \nL 114.811966 102.711716 \nL 25.697362 174.556808 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.373481 127.262519 \nL 114.640613 87.810404 \nL 24.936894 158.765205 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.087756 111.664575 \nL 114.467225 72.732196 \nL 24.166574 142.769009 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.810997 95.870839 \nL 114.291767 57.473923 \nL 23.386209 126.564219 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.543374 79.877603 \nL 114.114202 42.03234 \nL 22.595601 110.146727 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 255.779094 157.545851 \nL 259.358175 158.565362 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 5 -->\n     <g transform=\"translate(272.16329 162.912453)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_18\">\n    <g id=\"line2d_21\">\n     <path d=\"M 256.468311 142.332737 \nL 260.070288 143.340203 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- 10 -->\n     <g transform=\"translate(269.789599 147.725757)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_19\">\n    <g id=\"line2d_22\">\n     <path d=\"M 257.166068 126.931105 \nL 260.791235 127.926149 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_19\">\n     <!-- 15 -->\n     <g transform=\"translate(270.60714 132.351371)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_20\">\n    <g id=\"line2d_23\">\n     <path d=\"M 257.872525 111.33743 \nL 261.521183 112.319662 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_20\">\n     <!-- 20 -->\n     <g transform=\"translate(271.434846 116.785793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_21\">\n    <g id=\"line2d_24\">\n     <path d=\"M 258.587847 95.548097 \nL 262.260301 96.517116 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_21\">\n     <!-- 25 -->\n     <g transform=\"translate(272.272911 101.025434)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_22\">\n    <g id=\"line2d_25\">\n     <path d=\"M 259.3122 79.5594 \nL 263.008763 80.514793 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_22\">\n     <!-- 30 -->\n     <g transform=\"translate(273.121528 85.066616)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_26\">\n    <path clip-path=\"url(#p6c7363f20c)\" d=\"M 132.187022 192.910136 \nL 131.490023 191.811004 \nL 131.466988 191.486208 \nL 131.580142 191.240471 \nL 132.096536 190.870531 \nL 133.415176 190.388534 \nL 145.092863 186.709425 \nL 151.445432 184.376021 \nL 156.896921 182.170116 \nL 163.531537 179.226863 \nL 171.525966 175.291505 \nL 176.078104 172.853228 \nL 181.013367 170.040368 \nL 186.329715 166.803481 \nL 192.010593 163.0923 \nL 198.019528 158.858984 \nL 204.293617 154.063063 \nL 210.736006 148.678473 \nL 217.207838 142.703018 \nL 223.52057 136.170202 \nL 229.430218 129.162882 \nL 234.636059 121.826959 \nL 238.78712 114.381977 \nL 241.500408 107.12365 \nL 242.394359 100.412153 \nL 241.138648 94.640357 \nL 237.516235 90.180306 \nL 231.486002 87.314309 \nL 223.226977 86.168093 \nL 213.143581 86.670803 \nL 201.820321 88.563167 \nL 189.932879 91.456915 \nL 178.141705 94.925198 \nL 167.000884 98.589458 \nL 156.905332 102.174413 \nL 148.080659 105.522012 \nL 140.60474 108.573923 \nL 134.444656 111.339624 \nL 129.495424 113.86459 \nL 125.612864 116.206132 \nL 122.637979 118.418502 \nL 120.413269 120.54568 \nL 118.792564 122.619318 \nL 117.646154 124.65962 \nL 116.862733 126.677472 \nL 116.349325 128.676937 \nL 116.030003 130.657534 \nL 115.743515 134.548099 \nL 115.392146 145.346023 \nL 115.036615 148.580369 \nL 114.479481 151.621482 \nL 113.697243 154.472925 \nL 112.668032 157.140561 \nL 111.366743 159.630121 \nL 109.762459 161.945173 \nL 107.817188 164.085124 \nL 105.485475 166.042995 \nL 102.714798 167.802612 \nL 101.146835 168.599611 \nL 99.447045 169.334878 \nL 97.607806 170.001949 \nL 95.621684 170.592876 \nL 93.481698 171.097973 \nL 91.181677 171.505598 \nL 88.716705 171.801875 \nL 86.08369 171.97046 \nL 83.282057 171.99231 \nL 80.31462 171.845509 \nL 77.188589 171.505198 \nL 73.916775 170.943669 \nL 70.51894 170.130672 \nL 67.023278 169.034074 \nL 63.467939 167.620943 \nL 59.902467 165.8592 \nL 56.388979 163.719935 \nL 53.002804 161.180438 \nL 49.832271 158.227989 \nL 46.977228 154.864187 \nL 44.545972 151.109547 \nL 42.650241 147.007726 \nL 41.398245 142.628649 \nL 40.886001 138.0695 \nL 41.187664 133.45269 \nL 42.346113 128.920144 \nL 44.365301 124.62385 \nL 47.205939 120.713503 \nL 50.785771 117.322909 \nL 54.984844 114.557449 \nL 59.655193 112.484794 \nL 64.633504 111.130675 \nL 69.754649 110.480106 \nL 74.864042 110.483509 \nL 79.827274 111.065983 \nL 84.536136 112.137797 \nL 88.911013 113.604193 \nL 92.900202 115.373366 \nL 96.476994 117.361917 \nL 99.635457 119.497966 \nL 102.385721 121.722243 \nL 104.749376 123.987767 \nL 106.755352 126.258641 \nL 108.436498 128.508425 \nL 109.82691 130.718425 \nL 110.959971 132.876035 \nL 111.867023 134.973311 \nL 112.576544 137.005759 \nL 113.113727 138.971384 \nL 113.500347 140.869908 \nL 113.892479 144.469915 \nL 113.864249 147.819852 \nL 113.485711 150.937543 \nL 112.794828 153.840185 \nL 111.80522 156.542267 \nL 110.511945 159.054461 \nL 108.895509 161.382731 \nL 106.924573 163.52716 \nL 104.557934 165.480248 \nL 103.211109 166.380013 \nL 101.746415 167.224362 \nL 100.156863 168.00893 \nL 98.435356 168.728207 \nL 96.574857 169.375355 \nL 94.568626 169.94202 \nL 92.410517 170.4181 \nL 90.095355 170.791523 \nL 87.619411 171.048014 \nL 84.980997 171.170876 \nL 82.181191 171.140808 \nL 79.224713 170.935793 \nL 76.120949 170.53111 \nL 72.88513 169.899507 \nL 69.539654 169.011643 \nL 66.115466 167.836875 \nL 62.653451 166.34449 \nL 59.205662 164.505492 \nL 55.836218 162.295032 \nL 52.621579 159.695494 \nL 49.64988 156.700214 \nL 47.019005 153.317577 \nL 44.833057 149.575172 \nL 43.197032 145.523355 \nL 42.209783 141.237435 \nL 41.955608 136.817669 \nL 42.495327 132.386212 \nL 43.858029 128.080676 \nL 46.034908 124.044515 \nL 48.976565 120.415157 \nL 52.594632 117.311659 \nL 56.767895 114.823943 \nL 61.352093 113.005497 \nL 66.191925 111.870838 \nL 71.133358 111.397853 \nL 76.034467 111.534204 \nL 80.773566 112.206193 \nL 85.254006 113.328284 \nL 89.405757 114.811786 \nL 93.184342 116.571702 \nL 96.567888 118.531348 \nL 99.55314 120.624852 \nL 102.151121 122.79798 \nL 104.382941 125.007712 \nL 106.276098 127.221095 \nL 107.861407 129.413776 \nL 109.170625 131.568419 \nL 110.234707 133.673248 \nL 111.082632 135.720738 \nL 111.740676 137.706534 \nL 112.232044 139.628575 \nL 112.576768 141.486413 \nL 112.891043 145.012678 \nL 112.785258 148.297026 \nL 112.322664 151.354767 \nL 111.536345 154.200612 \nL 110.436288 156.846515 \nL 109.014714 159.300377 \nL 107.249862 161.56489 \nL 105.108717 163.636056 \nL 102.549242 165.501103 \nL 101.097611 166.349237 \nL 99.522816 167.135537 \nL 97.81831 167.854456 \nL 95.97766 168.499147 \nL 93.994792 169.061284 \nL 91.864281 169.530857 \nL 89.581742 169.895954 \nL 87.144297 170.142565 \nL 84.551156 170.254389 \nL 81.804329 170.212695 \nL 78.909461 169.996245 \nL 75.87682 169.581341 \nL 72.722407 168.942062 \nL 69.469181 168.050739 \nL 66.14832 166.878764 \nL 62.800484 165.39783 \nL 59.476854 163.58169 \nL 56.239859 161.408479 \nL 53.163261 158.863655 \nL 50.331361 155.94342 \nL 47.836988 152.658491 \nL 45.778027 149.037786 \nL 44.25235 145.131501 \nL 43.351213 141.012839 \nL 43.15153 136.777702 \nL 43.707784 132.541578 \nL 45.044679 128.433453 \nL 47.151751 124.586908 \nL 49.98116 121.129342 \nL 53.449376 118.170879 \nL 57.44285 115.794743 \nL 61.82694 114.050786 \nL 66.456789 112.953201 \nL 71.188477 112.482608 \nL 75.888892 112.591714 \nL 80.443209 113.213219 \nL 84.759403 114.26838 \nL 88.769891 115.674912 \nL 92.43073 117.353287 \nL 95.719086 119.231118 \nL 98.629697 121.245645 \nL 101.170938 123.344647 \nL 103.360984 125.486221 \nL 105.224372 127.637873 \nL 106.789122 129.775212 \nL 108.084464 131.880569 \nL 109.139156 133.941635 \nL 109.98032 135.950285 \nL 110.632706 137.901522 \nL 111.118292 139.792668 \nL 111.456139 141.622694 \nL 111.750542 145.100516 \nL 111.613557 148.343003 \nL 111.106075 151.362455 \nL 110.259806 154.170975 \nL 109.083886 156.778039 \nL 107.570001 159.188924 \nL 105.696179 161.403276 \nL 103.4297 163.413358 \nL 102.136692 164.336797 \nL 100.729724 165.201688 \nL 99.202924 166.003797 \nL 97.550354 166.737822 \nL 95.7662 167.39724 \nL 93.844997 167.974139 \nL 91.78192 168.459031 \nL 89.57314 168.840664 \nL 87.216276 169.105845 \nL 84.710932 169.239278 \nL 82.059354 169.223432 \nL 79.267207 169.038507 \nL 76.344472 168.66248 \nL 73.30646 168.071337 \nL 70.174913 167.239523 \nL 66.979159 166.140695 \nL 63.757218 164.748846 \nL 60.556748 163.039901 \nL 57.435686 160.993799 \nL 54.462314 158.597119 \nL 51.71457 155.84614 \nL 49.278279 152.750194 \nL 47.24411 149.334961 \nL 45.703106 145.645262 \nL 44.74089 141.746739 \nL 44.430793 137.72574 \nL 44.826613 133.68687 \nL 45.955856 129.747879 \nL 47.814618 126.03206 \nL 50.365047 122.658865 \nL 53.536221 119.733934 \nL 57.228517 117.340173 \nL 61.32107 115.531277 \nL 65.681235 114.328803 \nL 70.174628 113.723097 \nL 74.674396 113.677552 \nL 79.068569 114.135209 \nL 83.264935 115.02632 \nL 87.193277 116.275629 \nL 90.805327 117.808521 \nL 94.072961 119.555517 \nL 96.985293 121.455086 \nL 99.545223 123.454983 \nL 101.765921 125.512424 \nL 103.667582 127.593509 \nL 105.274615 129.672209 \nL 106.61337 131.729152 \nL 107.710404 133.750398 \nL 108.591222 135.726321 \nL 109.27945 137.650603 \nL 109.796335 139.519425 \nL 110.160515 141.330775 \nL 110.387959 143.083933 \nL 110.483743 146.416826 \nL 110.162794 149.524692 \nL 109.472022 152.416926 \nL 108.432785 155.101949 \nL 107.04657 157.58491 \nL 105.299471 159.865945 \nL 103.165689 161.938404 \nL 101.943229 162.891952 \nL 100.610589 163.78663 \nL 99.162592 164.618597 \nL 97.593967 165.383039 \nL 95.899517 166.074028 \nL 94.074335 166.68437 \nL 92.11407 167.205457 \nL 90.015247 167.627088 \nL 87.775666 167.937314 \nL 85.394893 168.12229 \nL 82.874832 168.166174 \nL 80.220415 168.051074 \nL 77.440395 167.757097 \nL 74.548236 167.262524 \nL 71.563091 166.544197 \nL 68.510823 165.578136 \nL 65.425009 164.340484 \nL 62.347802 162.808843 \nL 59.330575 160.964037 \nL 56.434109 158.792328 \nL 53.728133 156.288048 \nL 51.290015 153.45651 \nL 49.202373 150.316963 \nL 47.549465 146.905228 \nL 46.41237 143.275499 \nL 45.863163 139.500822 \nL 45.958517 135.671624 \nL 46.733468 131.892047 \nL 48.196236 128.274015 \nL 50.324986 124.929455 \nL 53.06734 121.961587 \nL 56.342928 119.456526 \nL 60.048891 117.476482 \nL 64.067551 116.055699 \nL 68.275207 115.199628 \nL 72.550833 114.8873 \nL 76.783548 115.076195 \nL 80.878146 115.708536 \nL 84.758345 116.717937 \nL 88.367875 118.035445 \nL 91.669721 119.594351 \nL 94.644079 121.333575 \nL 97.285547 123.19965 \nL 99.600005 125.147493 \nL 101.60156 127.140343 \nL 103.309782 129.149126 \nL 104.747355 131.151495 \nL 105.938211 133.13078 \nL 106.906109 135.074913 \nL 107.673636 136.975498 \nL 108.261551 138.82694 \nL 108.6884 140.62577 \nL 108.970351 142.37007 \nL 109.121175 144.059016 \nL 109.073083 147.270986 \nL 108.610789 150.265551 \nL 107.772178 153.048681 \nL 106.572202 155.624893 \nL 105.007956 157.994882 \nL 103.062824 160.153549 \nL 101.939362 161.149946 \nL 100.710028 162.087877 \nL 99.370457 162.964051 \nL 97.916114 163.77432 \nL 96.342454 164.513559 \nL 94.645111 165.175535 \nL 92.820124 165.752773 \nL 90.864229 166.236407 \nL 88.77519 166.616038 \nL 86.552218 166.879611 \nL 84.196459 167.013301 \nL 81.711583 167.001468 \nL 79.104449 166.826657 \nL 76.385872 166.46973 \nL 73.571462 165.91013 \nL 70.682522 165.126345 \nL 67.746929 164.096632 \nL 64.799974 162.80005 \nL 61.885017 161.217837 \nL 59.053837 159.335191 \nL 56.366507 157.143415 \nL 53.89062 154.642365 \nL 51.699659 151.843043 \nL 49.870373 148.770076 \nL 48.479095 145.46372 \nL 47.597065 141.980957 \nL 47.285054 138.395198 \nL 47.587708 134.794215 \nL 48.528367 131.276139 \nL 50.105084 127.943594 \nL 52.288576 124.896532 \nL 55.02271 122.224621 \nL 58.227589 120.000273 \nL 61.805011 118.27335 \nL 65.645576 117.068419 \nL 69.636465 116.384776 \nL 73.668849 116.199078 \nL 77.644117 116.469913 \nL 81.478333 117.143382 \nL 85.104717 118.158831 \nL 88.474325 119.453924 \nL 91.555191 120.968673 \nL 94.330438 122.648233 \nL 96.795775 124.444518 \nL 98.95675 126.316831 \nL 100.826095 128.231798 \nL 102.421308 130.162819 \nL 103.762617 132.08924 \nL 104.871351 133.995455 \nL 105.768686 135.869984 \nL 106.474775 137.704655 \nL 107.008153 139.493844 \nL 107.385396 141.233886 \nL 107.620961 142.922546 \nL 107.727158 144.558612 \nL 107.714214 146.141583 \nL 107.362156 149.148291 \nL 106.610208 151.944487 \nL 105.480195 154.531948 \nL 103.975347 156.909466 \nL 103.07937 158.017732 \nL 102.08466 159.070535 \nL 100.988256 160.065866 \nL 99.786775 161.001084 \nL 98.476554 161.872825 \nL 97.053791 162.676897 \nL 95.514708 163.408182 \nL 93.855749 164.060502 \nL 92.073815 164.62651 \nL 90.166542 165.097554 \nL 88.132644 165.463568 \nL 85.972301 165.712964 \nL 83.687646 165.832562 \nL 81.283303 165.807573 \nL 78.76702 165.621639 \nL 76.150367 165.256998 \nL 73.449497 164.69479 \nL 70.685923 163.915531 \nL 67.887296 162.89984 \nL 65.088083 161.629443 \nL 62.330073 160.088476 \nL 59.662551 158.265131 \nL 57.142062 156.1536 \nL 54.831542 153.756236 \nL 52.79869 151.0858 \nL 51.113475 148.167525 \nL 49.844746 145.040717 \nL 49.056028 141.759498 \nL 48.800769 138.392294 \nL 49.117466 135.019824 \nL 50.025252 131.7314 \nL 51.520566 128.619746 \nL 53.575581 125.774752 \nL 56.138722 123.276921 \nL 59.137447 121.191408 \nL 62.483006 119.563522 \nL 66.076586 118.416315 \nL 69.816053 117.75057 \nL 73.602414 117.54693 \nL 77.345307 117.769748 \nL 80.967003 118.371807 \nL 84.404755 119.299264 \nL 87.611587 120.496101 \nL 90.555728 121.907739 \nL 93.219107 123.48366 \nL 95.595246 125.178968 \nL 97.686913 126.955159 \nL 99.503769 128.780164 \nL 101.060219 130.628009 \nL 102.373539 132.478161 \nL 103.462371 134.314785 \nL 104.345529 136.125937 \nL 105.04115 137.902841 \nL 105.566094 139.639231 \nL 105.935577 141.33075 \nL 106.162982 142.974499 \nL 106.259786 144.56864 \nL 106.23559 146.112062 \nL 106.098206 147.604157 \nL 105.506922 150.433214 \nL 104.517664 153.054122 \nL 103.142478 155.46377 \nL 102.309646 156.587314 \nL 101.378174 157.65483 \nL 100.345957 158.664346 \nL 99.210448 159.613316 \nL 97.968788 160.498533 \nL 96.617955 161.316038 \nL 95.154929 162.061025 \nL 93.576883 162.727728 \nL 91.881405 163.309318 \nL 90.066764 163.797806 \nL 88.132217 164.183924 \nL 86.078383 164.457062 \nL 83.907664 164.605197 \nL 81.624738 164.614904 \nL 79.237122 164.4714 \nL 76.755783 164.158697 \nL 74.195803 163.659887 \nL 71.577062 162.957574 \nL 68.924903 162.034513 \nL 66.270713 160.874489 \nL 63.65235 159.463445 \nL 61.114305 157.790903 \nL 58.707483 155.851628 \nL 56.488486 153.64747 \nL 54.518236 151.189293 \nL 52.859884 148.498773 \nL 51.57596 145.609789 \nL 50.724829 142.569167 \nL 50.356634 139.43642 \nL 50.509096 136.282216 \nL 51.203578 133.185502 \nL 52.441999 130.22928 \nL 54.205082 127.495462 \nL 56.452311 125.059249 \nL 59.123802 122.983824 \nL 62.143919 121.316099 \nL 65.426247 120.08401 \nL 68.879279 119.295813 \nL 72.412153 118.941258 \nL 75.939747 118.994337 \nL 79.386687 119.417088 \nL 82.690004 120.163761 \nL 85.800395 121.184868 \nL 88.682262 122.430638 \nL 91.312793 123.853668 \nL 93.680378 125.410742 \nL 95.782671 127.063868 \nL 97.624551 128.78065 \nL 99.216146 130.534185 \nL 100.571082 132.302679 \nL 101.704986 134.068857 \nL 102.634283 135.819309 \nL 103.375279 137.543838 \nL 103.943503 139.234838 \nL 104.353249 140.886758 \nL 104.617315 142.495626 \nL 104.746864 144.058652 \nL 104.751388 145.573914 \nL 104.638747 147.040082 \nL 104.41525 148.456212 \nL 104.085766 149.821568 \nL 103.653853 151.135475 \nL 103.12189 152.397225 \nL 102.491212 153.605948 \nL 101.762238 154.760548 \nL 100.934608 155.8596 \nL 100.007307 156.901289 \nL 98.978797 157.883314 \nL 97.847149 158.802823 \nL 96.610187 159.656314 \nL 95.265649 160.439552 \nL 93.81136 161.14748 \nL 92.245436 161.774122 \nL 90.566516 162.312491 \nL 88.774042 162.754502 \nL 86.868566 163.090907 \nL 84.852123 163.311235 \nL 82.72865 163.403788 \nL 80.504463 163.355671 \nL 78.188773 163.152917 \nL 75.794266 162.780687 \nL 73.337678 162.223614 \nL 70.840387 161.466311 \nL 68.328931 160.494037 \nL 65.835431 159.293612 \nL 63.397821 157.854543 \nL 61.05978 156.170371 \nL 58.870297 154.240189 \nL 56.882719 152.07027 \nL 55.153237 149.675663 \nL 53.738727 147.081563 \nL 52.693976 144.32422 \nL 52.068405 141.451173 \nL 51.902492 138.520504 \nL 52.224223 135.599017 \nL 53.046004 132.759273 \nL 54.362431 130.075633 \nL 56.149332 127.619665 \nL 58.364339 125.455409 \nL 60.949007 123.635124 \nL 63.832313 122.19604 \nL 66.935155 121.15858 \nL 70.175266 120.52618 \nL 73.472021 120.286648 \nL 76.75061 120.414732 \nL 79.945238 120.875411 \nL 83.001177 121.627435 \nL 85.875681 122.626673 \nL 88.537888 123.828961 \nL 90.967975 125.192291 \nL 93.155757 126.678286 \nL 95.099038 128.253054 \nL 96.801858 129.887509 \nL 98.272822 131.557299 \nL 99.523591 133.242491 \nL 100.567611 134.927077 \nL 101.419072 136.598441 \nL 102.092114 138.246804 \nL 102.600242 139.864705 \nL 102.955929 141.446526 \nL 103.170368 142.988081 \nL 103.253344 144.486269 \nL 103.21319 145.938782 \nL 103.056815 147.343857 \nL 102.789766 148.700091 \nL 102.416323 150.006261 \nL 101.939611 151.261208 \nL 101.361718 152.463698 \nL 100.683828 153.612336 \nL 99.906336 154.705473 \nL 99.028981 155.74112 \nL 98.050981 156.716864 \nL 96.971168 157.629788 \nL 95.788129 158.476393 \nL 94.500372 159.252513 \nL 93.106498 159.953227 \nL 91.605403 160.572788 \nL 89.996503 161.104537 \nL 88.279999 161.540833 \nL 86.457167 161.873007 \nL 84.530712 162.091324 \nL 82.505144 162.184994 \nL 80.387212 162.142234 \nL 78.186369 161.950381 \nL 75.915275 161.596129 \nL 73.590298 161.06585 \nL 71.232001 160.346072 \nL 68.865581 159.424108 \nL 66.521183 158.288886 \nL 64.234036 156.931941 \nL 62.044347 155.348602 \nL 59.996826 153.539309 \nL 58.139808 151.51098 \nL 56.523862 149.27835 \nL 55.199892 146.865072 \nL 54.216705 144.304441 \nL 53.618202 141.63951 \nL 53.440315 138.922396 \nL 53.708005 136.212701 \nL 54.43265 133.574984 \nL 55.610134 131.075438 \nL 57.220001 128.778011 \nL 59.225849 126.740426 \nL 61.577038 125.010532 \nL 64.211543 123.623474 \nL 67.059685 122.600009 \nL 70.048268 121.946145 \nL 73.104717 121.654063 \nL 76.160762 121.704073 \nL 79.155343 122.067275 \nL 82.036629 122.708529 \nL 84.76303 123.589305 \nL 87.303374 124.670254 \nL 89.636366 125.913234 \nL 91.749548 127.282753 \nL 93.637953 128.746909 \nL 95.30263 130.277818 \nL 96.749194 131.851703 \nL 97.986475 133.448714 \nL 99.025348 135.052604 \nL 99.877749 136.650266 \nL 100.555906 138.231305 \nL 101.071747 139.787556 \nL 101.436489 141.312675 \nL 101.660352 142.801766 \nL 101.752402 144.251038 \nL 101.720474 145.657532 \nL 101.571152 147.018886 \nL 101.309825 148.333131 \nL 100.94074 149.59853 \nL 100.467104 150.813432 \nL 99.891184 151.976152 \nL 99.214424 153.084873 \nL 98.437566 154.13754 \nL 97.560775 155.131787 \nL 96.583775 156.06484 \nL 95.50598 156.933444 \nL 94.326659 157.733786 \nL 93.045091 158.461419 \nL 91.660748 159.111182 \nL 90.173509 159.677134 \nL 88.583892 160.152503 \nL 86.893313 160.529627 \nL 85.10439 160.79993 \nL 83.221271 160.95394 \nL 81.250009 160.981318 \nL 79.198964 160.870969 \nL 77.079226 160.61123 \nL 74.90505 160.190123 \nL 72.694277 159.595753 \nL 70.468719 158.816817 \nL 68.254442 157.843266 \nL 66.081933 156.667127 \nL 63.986049 155.283451 \nL 62.005721 153.691418 \nL 60.183285 151.89547 \nL 58.563455 149.90647 \nL 57.191845 147.74269 \nL 56.113058 145.430558 \nL 55.368419 143.004956 \nL 54.993434 140.508927 \nL 55.015202 137.99265 \nL 55.450004 135.511679 \nL 56.301387 133.124439 \nL 57.558948 130.889162 \nL 59.198128 128.860534 \nL 61.181025 127.086458 \nL 63.458287 125.605219 \nL 65.971845 124.443481 \nL 68.658239 123.615275 \nL 71.452169 123.122093 \nL 74.289878 122.953929 \nL 77.112107 123.091159 \nL 79.866353 123.506835 \nL 82.508347 124.169161 \nL 85.002756 125.043868 \nL 87.323195 126.09625 \nL 89.451686 127.292798 \nL 91.377727 128.602359 \nL 93.097138 129.996846 \nL 94.610821 131.451611 \nL 95.92353 132.945494 \nL 97.042747 134.46067 \nL 97.977693 135.982387 \nL 98.738517 137.498595 \nL 99.335628 138.999569 \nL 99.779206 140.477525 \nL 100.078845 141.926271 \nL 100.243305 143.340872 \nL 100.280375 144.717382 \nL 100.196801 146.052581 \nL 99.998274 147.343777 \nL 99.68946 148.588617 \nL 99.274069 149.784946 \nL 98.754927 150.930659 \nL 98.134081 152.023597 \nL 97.412907 153.061453 \nL 96.592227 154.04166 \nL 95.672437 154.961326 \nL 94.653644 155.817144 \nL 93.535806 156.605322 \nL 92.318902 157.321508 \nL 91.003104 157.960726 \nL 89.588976 158.517323 \nL 88.077699 158.98491 \nL 86.471307 159.356334 \nL 84.772975 159.623671 \nL 82.987314 159.778234 \nL 81.120707 159.81064 \nL 79.181659 159.710919 \nL 77.181175 159.468692 \nL 75.133126 159.073428 \nL 73.054601 158.514816 \nL 70.966209 157.783226 \nL 68.89231 156.870303 \nL 66.861096 155.769694 \nL 64.904522 154.477893 \nL 63.057969 152.995143 \nL 61.359647 151.326424 \nL 59.849649 149.482406 \nL 58.568648 147.480242 \nL 57.556252 145.344157 \nL 56.84905 143.105651 \nL 56.478458 140.803202 \nL 56.468549 138.481407 \nL 56.834018 136.189445 \nL 57.578547 133.97901 \nL 58.693785 131.901745 \nL 60.159099 130.006465 \nL 61.94219 128.336405 \nL 64.000596 126.926813 \nL 66.283905 125.80317 \nL 68.736499 124.980182 \nL 71.300525 124.461709 \nL 73.918801 124.241457 \nL 76.537407 124.3044 \nL 79.107749 124.628606 \nL 81.588008 125.187301 \nL 83.943924 125.950869 \nL 86.148992 126.88868 \nL 88.184163 127.970569 \nL 90.037179 129.16797 \nL 91.701664 130.45468 \nL 93.17609 131.807276 \nL 94.462743 133.205287 \nL 95.566726 134.63117 \nL 96.495066 136.070105 \nL 97.255958 137.509761 \nL 97.858132 138.939976 \nL 98.310363 140.352442 \nL 98.62111 141.740383 \nL 98.798252 143.098282 \nL 98.848916 144.421599 \nL 98.779394 145.706564 \nL 98.595093 146.94995 \nL 98.300553 148.148917 \nL 97.899483 149.300842 \nL 97.39483 150.40321 \nL 96.788858 151.453482 \nL 96.083253 152.448998 \nL 95.279232 153.386888 \nL 94.377662 154.263988 \nL 93.3792 155.076764 \nL 92.284433 155.82124 \nL 91.094035 156.49294 \nL 89.808953 157.086829 \nL 88.430591 157.597264 \nL 86.961034 158.017966 \nL 85.403278 158.342003 \nL 83.761501 158.561806 \nL 82.04134 158.669203 \nL 80.250194 158.655515 \nL 78.397547 158.511685 \nL 76.495277 158.228486 \nL 74.557969 157.79681 \nL 72.603184 157.208029 \nL 70.651676 156.454474 \nL 68.727511 155.530001 \nL 66.858036 154.430676 \nL 65.073706 153.155511 \nL 63.407657 151.707275 \nL 61.895021 150.093312 \nL 60.571962 148.326254 \nL 59.474425 146.424629 \nL 58.636588 144.413178 \nL 58.089121 142.322817 \nL 57.85736 140.190172 \nL 57.959492 138.056617 \nL 58.40497 135.966781 \nL 59.193321 133.966638 \nL 60.313507 132.101274 \nL 61.743957 130.412544 \nL 63.453347 128.936853 \nL 65.402034 127.703265 \nL 67.544061 126.732194 \nL 69.82953 126.034744 \nL 72.207097 125.61277 \nL 74.626393 125.459596 \nL 77.040126 125.56125 \nL 79.405753 125.89802 \nL 81.686625 126.446162 \nL 83.852617 127.179562 \nL 85.880258 128.071246 \nL 87.752467 129.09459 \nL 89.458 130.22428 \nL 90.990681 131.436946 \nL 92.348552 132.711553 \nL 93.532998 134.029539 \nL 94.547904 135.37482 \nL 95.398909 136.733661 \nL 96.092742 138.09446 \nL 96.636689 139.447514 \nL 97.038163 140.784742 \nL 97.304377 142.099436 \nL 97.442112 143.385995 \nL 97.457561 144.63971 \nL 97.356235 145.856565 \nL 97.142935 147.033043 \nL 96.821747 148.165969 \nL 96.396076 149.252379 \nL 95.868706 150.289389 \nL 95.241885 151.274094 \nL 94.51741 152.203469 \nL 93.696741 153.07429 \nL 92.781118 153.883047 \nL 91.771691 154.625883 \nL 90.669679 155.298533 \nL 89.476518 155.896268 \nL 88.194043 156.413859 \nL 86.824689 156.845551 \nL 85.371694 157.185045 \nL 83.83934 157.425516 \nL 82.233204 157.559656 \nL 80.560411 157.579752 \nL 78.82992 157.477809 \nL 77.052785 157.245742 \nL 75.242424 156.875607 \nL 73.414839 156.359938 \nL 71.588795 155.692136 \nL 69.785922 154.866968 \nL 68.030681 153.881121 \nL 66.350207 152.733844 \nL 64.77396 151.42761 \nL 63.333154 149.968797 \nL 62.059958 148.368304 \nL 60.986451 146.642045 \nL 60.143356 144.811257 \nL 59.558592 142.902499 \nL 59.255732 140.94733 \nL 59.252466 138.981553 \nL 59.559222 137.044094 \nL 60.178066 135.175445 \nL 61.10204 133.415877 \nL 62.315019 131.803496 \nL 63.792165 130.372319 \nL 65.500965 129.150615 \nL 67.402729 128.159595 \nL 69.454508 127.412653 \nL 71.611153 126.915167 \nL 73.827398 126.664863 \nL 76.059776 126.65264 \nL 78.268192 126.863758 \nL 80.417139 127.279186 \nL 82.476445 127.877043 \nL 84.421623 128.633916 \nL 86.233844 129.526038 \nL 87.899608 130.530204 \nL 89.410212 131.6245 \nL 90.761078 132.788737 \nL 91.951029 134.004744 \nL 92.981563 135.256436 \nL 93.856163 136.529812 \nL 94.579696 137.812807 \nL 95.15788 139.095145 \nL 95.596852 140.368097 \nL 95.902828 141.624292 \nL 96.081847 142.857483 \nL 96.139585 144.062339 \nL 96.081238 145.234267 \nL 95.911451 146.369231 \nL 95.6343 147.463595 \nL 94.771443 149.517181 \nL 93.514918 151.369179 \nL 91.881021 152.992916 \nL 89.883353 154.358355 \nL 87.536971 155.430165 \nL 84.863454 156.166498 \nL 83.414009 156.393909 \nL 81.896917 156.518723 \nL 80.319534 156.534005 \nL 78.690891 156.432661 \nL 77.021924 156.207628 \nL 75.325692 155.852098 \nL 73.617547 155.359825 \nL 71.915264 154.725481 \nL 70.239089 153.945104 \nL 68.61168 153.016574 \nL 67.057917 151.940174 \nL 65.604562 150.719138 \nL 64.279716 149.360213 \nL 63.112093 147.874157 \nL 62.130105 146.276107 \nL 61.360744 144.58579 \nL 60.828348 142.827475 \nL 60.553307 141.02964 \nL 60.550777 139.224311 \nL 60.829533 137.446044 \nL 61.391091 135.730653 \nL 62.229145 134.113688 \nL 63.329491 132.6288 \nL 64.670395 131.306165 \nL 66.223444 130.171075 \nL 67.954807 129.242837 \nL 69.826807 128.534105 \nL 71.799636 128.050664 \nL 73.83313 127.791659 \nL 75.888376 127.750244 \nL 77.92911 127.914502 \nL 79.922788 128.268557 \nL 81.841317 128.793746 \nL 83.661423 129.469761 \nL 85.364715 130.275658 \nL 86.937484 131.190687 \nL 88.370304 132.194974 \nL 89.65751 133.269942 \nL 90.796603 134.39863 \nL 91.78764 135.565814 \nL 92.632644 136.758028 \nL 93.33507 137.96351 \nL 93.899322 139.172076 \nL 94.330367 140.374949 \nL 94.633405 141.564592 \nL 94.813623 142.734522 \nL 94.876012 143.879123 \nL 94.665569 146.07329 \nL 94.034449 148.1136 \nL 93.008307 149.971158 \nL 91.60725 151.618203 \nL 89.848301 153.025421 \nL 87.74886 154.159929 \nL 85.331022 154.983921 \nL 82.626757 155.454235 \nL 79.683812 155.523156 \nL 78.143633 155.391545 \nL 76.572053 155.141082 \nL 74.982254 154.76613 \nL 73.389468 154.26175 \nL 71.811049 153.62406 \nL 70.266463 152.850625 \nL 68.77716 151.940896 \nL 67.366355 150.896678 \nL 66.058638 149.722598 \nL 64.879425 148.426552 \nL 63.854271 147.020061 \nL 63.008012 145.518513 \nL 62.363764 143.941258 \nL 61.941864 142.311437 \nL 61.758756 140.655601 \nL 61.82597 139.003034 \nL 62.149208 137.384819 \nL 62.727708 135.832676 \nL 63.553895 134.377679 \nL 64.613415 133.04887 \nL 65.885559 131.871988 \nL 67.34408 130.868332 \nL 68.9583 130.053927 \nL 70.694473 129.439043 \nL 72.517234 129.028064 \nL 74.39107 128.819731 \nL 76.281662 128.807711 \nL 78.157018 128.981363 \nL 79.988376 129.326687 \nL 81.750783 129.827276 \nL 83.42342 130.465279 \nL 84.989649 131.222222 \nL 86.43686 132.079736 \nL 87.756141 133.020091 \nL 88.941864 134.02662 \nL 89.991178 135.083958 \nL 90.903513 136.178189 \nL 91.680078 137.296879 \nL 92.323406 138.429035 \nL 92.836949 139.565027 \nL 93.491084 141.815949 \nL 93.67695 143.994437 \nL 93.427923 146.057814 \nL 92.773222 147.971455 \nL 91.737249 149.704979 \nL 90.340634 151.229174 \nL 88.602566 152.513613 \nL 86.544061 153.52493 \nL 84.192076 154.225857 \nL 81.584345 154.575226 \nL 78.774718 154.529313 \nL 77.316777 154.344506 \nL 75.838593 154.045041 \nL 74.353725 153.626554 \nL 72.877548 153.085573 \nL 71.427255 152.419839 \nL 70.021779 151.628682 \nL 68.681604 150.713401 \nL 67.428462 149.677659 \nL 66.284918 148.527858 \nL 65.273789 147.27346 \nL 64.417476 145.927206 \nL 63.737143 144.505241 \nL 63.251829 143.027031 \nL 62.977541 141.515099 \nL 62.926329 139.994548 \nL 63.1055 138.492356 \nL 63.516965 137.036478 \nL 64.156848 135.654797 \nL 65.015351 134.373998 \nL 66.076968 133.21847 \nL 67.321003 132.209251 \nL 68.72237 131.363226 \nL 70.252644 130.692536 \nL 71.881231 130.204296 \nL 73.576614 129.900625 \nL 75.307551 129.778926 \nL 77.04415 129.83244 \nL 78.758765 130.050933 \nL 80.426669 130.42148 \nL 82.026493 130.929274 \nL 83.540433 131.55839 \nL 84.95426 132.292477 \nL 86.257153 133.115315 \nL 87.441424 134.011256 \nL 88.502148 134.965559 \nL 89.436748 135.964573 \nL 90.244578 136.995877 \nL 91.484534 139.111796 \nL 92.240684 141.23788 \nL 92.540431 143.315101 \nL 92.413207 145.297061 \nL 91.886714 147.146047 \nL 90.985558 148.829496 \nL 89.731642 150.317033 \nL 88.145935 151.578165 \nL 86.251195 152.580606 \nL 84.075549 153.289366 \nL 81.656705 153.666717 \nL 79.046584 153.673421 \nL 76.315965 153.271539 \nL 74.933725 152.907034 \nL 73.558345 152.429321 \nL 72.205384 151.836573 \nL 70.891892 151.128363 \nL 69.636239 150.305996 \nL 68.457862 149.372821 \nL 67.376908 148.334555 \nL 66.413752 147.199546 \nL 65.588434 145.978967 \nL 64.91997 144.68691 \nL 64.425616 143.340334 \nL 64.120088 141.958874 \nL 64.014796 140.564443 \nL 64.117155 139.180679 \nL 64.430007 137.832226 \nL 64.951243 136.543869 \nL 65.673636 135.33962 \nL 66.584935 134.241747 \nL 67.668239 133.26992 \nL 68.902597 132.440444 \nL 70.26381 131.765698 \nL 71.725408 131.253815 \nL 73.259666 130.908581 \nL 74.838643 130.729598 \nL 76.43513 130.712653 \nL 78.023495 130.850216 \nL 79.580323 131.13209 \nL 81.084907 131.546057 \nL 82.519518 132.078552 \nL 83.869507 132.715268 \nL 85.123257 133.4417 \nL 86.272 134.24356 \nL 87.309556 135.107137 \nL 89.0374 136.968732 \nL 90.296473 138.934996 \nL 91.096442 140.93067 \nL 91.457892 142.895383 \nL 91.405736 144.78075 \nL 90.965226 146.547071 \nL 90.16016 148.160176 \nL 89.012856 149.588726 \nL 87.545445 150.802042 \nL 85.78218 151.768584 \nL 83.752533 152.455112 \nL 81.494874 152.826738 \nL 79.060487 152.848108 \nL 76.517467 152.486028 \nL 73.953861 151.713858 \nL 72.697684 151.168968 \nL 71.478963 150.517803 \nL 70.314387 149.761941 \nL 69.221505 148.904801 \nL 68.218405 147.951888 \nL 67.323304 146.91101 \nL 66.554039 145.792428 \nL 65.927498 144.608926 \nL 65.458975 143.375742 \nL 65.161535 142.110404 \nL 65.045345 140.832387 \nL 65.117111 139.562645 \nL 65.379591 138.323013 \nL 65.831244 137.135472 \nL 66.466117 136.021394 \nL 67.273878 135.00073 \nL 68.240113 134.09128 \nL 69.346799 133.308041 \nL 70.572978 132.66269 \nL 71.895533 132.163302 \nL 73.29004 131.814212 \nL 74.731657 131.616084 \nL 76.195944 131.56619 \nL 77.659597 131.658812 \nL 79.101048 131.88571 \nL 80.500922 132.236689 \nL 81.842329 132.700161 \nL 83.111008 133.26367 \nL 85.386217 134.639361 \nL 87.262771 136.262829 \nL 88.710191 138.041615 \nL 89.722441 139.896059 \nL 90.309223 141.760047 \nL 90.48884 143.579582 \nL 90.283204 145.310291 \nL 89.714953 146.914672 \nL 88.80639 148.359505 \nL 87.579862 149.613677 \nL 86.059273 150.646525 \nL 84.272416 151.426803 \nL 82.25398 151.922417 \nL 80.048891 152.101073 \nL 77.715738 151.932126 \nL 75.329655 151.389853 \nL 72.983999 150.458293 \nL 70.789666 149.137534 \nL 69.787781 148.337377 \nL 68.871022 147.450831 \nL 68.055656 146.485499 \nL 67.357482 145.45113 \nL 66.791329 144.359641 \nL 66.370525 143.22505 \nL 66.106323 142.063305 \nL 66.007382 140.89196 \nL 66.079271 139.72977 \nL 66.32408 138.596165 \nL 66.740157 137.51064 \nL 67.322013 136.4921 \nL 68.060372 135.558201 \nL 68.94241 134.724704 \nL 69.952189 134.004968 \nL 71.071181 133.409494 \nL 72.278956 132.945687 \nL 73.55389 132.617714 \nL 74.873899 132.426578 \nL 76.217155 132.370314 \nL 77.562705 132.444293 \nL 78.891008 132.641632 \nL 80.184337 132.953652 \nL 82.605761 133.880759 \nL 84.728915 135.137263 \nL 86.490626 136.632403 \nL 87.8577 138.281266 \nL 88.819719 140.009128 \nL 89.381665 141.752686 \nL 89.557665 143.459207 \nL 89.366468 145.084643 \nL 88.828726 146.591358 \nL 87.965885 147.945931 \nL 86.800413 149.11726 \nL 85.357052 150.075159 \nL 83.664861 150.789535 \nL 81.759831 151.230289 \nL 79.687743 151.368076 \nL 77.507002 151.176194 \nL 75.290864 150.633706 \nL 73.128356 149.729879 \nL 71.123018 148.469735 \nL 70.214617 147.713388 \nL 69.388559 146.879984 \nL 68.659314 145.977099 \nL 68.040781 145.014192 \nL 67.545831 144.002589 \nL 67.185851 142.955384 \nL 66.97027 141.887257 \nL 66.906115 140.814181 \nL 66.997629 139.753047 \nL 67.245957 138.7212 \nL 67.648956 137.735909 \nL 68.201135 136.813812 \nL 68.893742 135.970353 \nL 69.714989 135.21929 \nL 70.650418 134.572222 \nL 71.683391 134.038264 \nL 72.795646 133.62383 \nL 73.967905 133.332548 \nL 75.180513 133.1653 \nL 76.414014 133.120401 \nL 77.649692 133.19384 \nL 80.059029 133.670225 \nL 82.288171 134.529749 \nL 84.246771 135.694147 \nL 85.874847 137.081956 \nL 87.138984 138.615799 \nL 88.026475 140.226446 \nL 88.539124 141.854185 \nL 88.687894 143.44842 \nL 88.488943 144.966213 \nL 87.961184 146.370457 \nL 87.125268 147.628025 \nL 86.003721 148.708208 \nL 84.622038 149.581563 \nL 83.010479 150.219314 \nL 81.206312 150.593447 \nL 79.256237 150.67761 \nL 77.218661 150.449036 \nL 75.165246 149.891558 \nL 73.181157 148.999681 \nL 71.363211 147.783432 \nL 69.815235 146.273268 \nL 69.174994 145.424069 \nL 68.640281 144.523942 \nL 68.222101 143.583757 \nL 67.929971 142.615835 \nL 67.77153 141.633789 \nL 67.75218 140.652216 \nL 67.874776 139.686367 \nL 68.139402 138.751719 \nL 68.543248 137.863523 \nL 69.080593 137.036326 \nL 69.742916 136.283524 \nL 70.51912 135.61693 \nL 71.395877 135.046415 \nL 72.358044 134.579651 \nL 73.389156 134.221938 \nL 74.471949 133.97617 \nL 75.588882 133.842862 \nL 77.856573 133.904878 \nL 80.063897 134.372325 \nL 82.10322 135.187399 \nL 83.892868 136.280242 \nL 85.377535 137.577656 \nL 86.52525 139.009397 \nL 87.322551 140.511786 \nL 87.769338 142.029089 \nL 87.874351 143.513325 \nL 87.651792 144.923212 \nL 87.119219 146.222654 \nL 86.296664 147.379263 \nL 85.206791 148.36308 \nL 83.875841 149.1457 \nL 82.335218 149.699895 \nL 80.623398 149.999891 \nL 78.787945 150.022451 \nL 76.887207 149.748807 \nL 74.991267 149.167555 \nL 73.181514 148.27837 \nL 71.548254 147.096191 \nL 70.185846 145.655149 \nL 69.185167 144.011249 \nL 68.845585 143.136821 \nL 68.623985 142.242526 \nL 68.526298 141.340994 \nL 68.556357 140.44558 \nL 68.715667 139.570028 \nL 69.003261 138.728103 \nL 69.415611 137.933214 \nL 69.946682 137.197988 \nL 70.588053 136.533911 \nL 71.329141 135.95098 \nL 72.157518 135.457427 \nL 73.059297 135.059504 \nL 75.022758 134.565216 \nL 77.095647 134.476862 \nL 79.158007 134.773364 \nL 81.104415 135.410624 \nL 82.850485 136.32996 \nL 84.33502 137.466157 \nL 85.518739 138.753882 \nL 86.38085 140.131852 \nL 86.914796 141.54499 \nL 87.124143 142.944969 \nL 87.019261 144.289726 \nL 86.615033 145.542388 \nL 85.929639 146.670081 \nL 84.984309 147.642825 \nL 83.803871 148.432677 \nL 82.417886 149.013363 \nL 80.862187 149.360416 \nL 79.180497 149.451991 \nL 77.425881 149.270449 \nL 75.661564 148.804719 \nL 73.960652 148.053382 \nL 72.40425 147.02815 \nL 71.077535 145.757246 \nL 70.063611 144.287825 \nL 69.435491 142.686464 \nL 69.283937 141.861897 \nL 69.247074 141.036749 \nL 69.327275 140.223185 \nL 69.524789 139.433552 \nL 69.837661 138.680029 \nL 70.2617 137.97431 \nL 70.790555 137.327257 \nL 71.415867 136.748602 \nL 72.127489 136.246666 \nL 73.761961 135.498015 \nL 75.589288 135.113528 \nL 77.498347 135.096852 \nL 79.382776 135.426201 \nL 81.149647 136.060371 \nL 82.724628 136.945917 \nL 84.053604 138.023895 \nL 85.101518 139.23517 \nL 85.849487 140.523971 \nL 86.291277 141.839693 \nL 86.429902 143.137429 \nL 86.274888 144.377635 \nL 85.840411 145.525294 \nL 85.144326 146.548998 \nL 84.20802 147.42008 \nL 83.056945 148.112052 \nL 81.721613 148.600436 \nL 80.238868 148.863107 \nL 78.653177 148.881254 \nL 77.017594 148.641015 \nL 75.394045 148.135738 \nL 73.852505 147.368773 \nL 72.468636 146.356451 \nL 71.319615 145.130656 \nL 70.478182 143.740294 \nL 70.005294 142.250837 \nL 69.942449 140.741254 \nL 70.305013 139.298174 \nL 71.078182 138.007833 \nL 72.216769 136.94708 \nL 73.649273 136.17526 \nL 75.285544 135.728594 \nL 77.026597 135.618147 \nL 78.774531 135.831479 \nL 80.440825 136.337061 \nL 81.951876 137.090175 \nL 83.251524 138.038904 \nL 84.300959 139.129212 \nL 85.07684 140.308623 \nL 85.568506 141.528411 \nL 85.775059 142.744557 \nL 85.702814 143.917829 \nL 85.363431 145.013299 \nL 84.772805 145.999663 \nL 83.95069 146.848547 \nL 82.920934 147.534028 \nL 81.712189 148.032462 \nL 80.358883 148.322749 \nL 78.902219 148.387133 \nL 77.390961 148.21255 \nL 75.881629 147.792541 \nL 74.437775 147.129577 \nL 73.127993 146.23756 \nL 72.022412 145.14404 \nL 71.187657 143.891505 \nL 70.680642 142.537119 \nL 70.541932 141.15037 \nL 70.789835 139.808341 \nL 71.416476 138.589056 \nL 72.386963 137.56383 \nL 73.642148 136.790016 \nL 75.104592 136.305621 \nL 76.686666 136.126733 \nL 78.299216 136.248094 \nL 79.859223 136.646231 \nL 81.295379 137.284225 \nL 82.551153 138.116871 \nL 83.58551 139.09538 \nL 84.371856 140.171011 \nL 84.895957 141.297462 \nL 85.1535 142.432152 \nL 85.147829 143.536633 \nL 84.888151 144.576417 \nL 84.388365 145.520544 \nL 83.666522 146.341045 \nL 82.744859 147.012573 \nL 81.650236 147.512251 \nL 80.414864 147.819904 \nL 79.077066 147.918724 \nL 77.68187 147.796394 \nL 76.281115 147.44673 \nL 74.93278 146.871609 \nL 73.699273 146.083099 \nL 72.644412 145.105307 \nL 71.829146 143.975515 \nL 71.306251 142.744029 \nL 71.114598 141.472276 \nL 71.27397 140.228959 \nL 71.78135 139.084507 \nL 72.609817 138.104558 \nL 73.710319 137.343576 \nL 75.016356 136.839848 \nL 76.450626 136.612654 \nL 77.932522 136.662106 \nL 79.385041 136.971317 \nL 80.740186 137.510126 \nL 81.942308 138.239536 \nL 82.949384 139.115891 \nL 83.732634 140.094367 \nL 84.275066 141.131445 \nL 84.569511 142.186385 \nL 84.616661 143.221904 \nL 84.423415 144.20427 \nL 84.00171 145.10308 \nL 83.367892 145.890905 \nL 82.542572 146.543016 \nL 81.55088 147.037286 \nL 80.422953 147.354383 \nL 79.194513 147.478355 \nL 77.907273 147.397594 \nL 76.608952 147.10621 \nL 75.352651 146.605687 \nL 74.195309 145.90664 \nL 73.195109 145.030406 \nL 72.407778 144.009987 \nL 71.882041 142.889938 \nL 71.654685 141.72481 \nL 71.745958 140.575978 \nL 72.156258 139.506942 \nL 72.864798 138.577817 \nL 73.830772 137.83974 \nL 74.997008 137.33024 \nL 76.295447 137.07044 \nL 77.653542 137.064403 \nL 79.000431 137.300511 \nL 80.272028 137.754387 \nL 81.414439 138.392595 \nL 82.385619 139.176365 \nL 83.15551 140.06479 \nL 83.705097 141.017318 \nL 84.024905 141.995314 \nL 84.113327 142.962957 \nL 83.975153 143.887525 \nL 83.62046 144.739365 \nL 83.063912 145.491726 \nL 82.324522 146.120547 \nL 81.425732 146.604445 \nL 80.395729 146.924892 \nL 79.267833 147.066728 \nL 78.080769 147.019 \nL 76.878589 146.776121 \nL 75.710059 146.33928 \nL 74.62727 145.717942 \nL 73.683347 144.931144 \nL 72.929262 144.008314 \nL 72.409882 142.989132 \nL 72.159709 141.922267 \nL 72.198857 140.862653 \nL 72.530038 139.86758 \nL 73.137216 138.991924 \nL 73.986327 138.283288 \nL 75.028119 137.777841 \nL 76.202694 137.49758 \nL 77.444939 137.449355 \nL 78.690023 137.625717 \nL 79.878061 138.007173 \nL 80.957504 138.565203 \nL 81.887008 139.26554 \nL 82.635965 140.071099 \nL 83.183993 140.94435 \nL 83.519808 141.848926 \nL 83.639874 142.750667 \nL 83.547111 143.618054 \nL 83.249852 144.422372 \nL 82.761154 145.137638 \nL 82.098465 145.74054 \nL 81.283591 146.210445 \nL 80.342866 146.529608 \nL 79.307378 146.683597 \nL 78.213118 146.662061 \nL 77.100831 146.459717 \nL 76.015401 146.07753 \nL 75.004586 145.524 \nL 74.116977 144.816246 \nL 73.399219 143.980643 \nL 72.892568 143.052723 \nL 72.629199 142.076059 \nL 72.628671 141.099955 \nL 72.89526 140.176124 \nL 73.416607 139.354567 \nL 74.164165 138.679362 \nL 75.095406 138.184939 \nL 76.157584 137.893453 \nL 77.292375 137.813688 \nL 78.440679 137.941463 \nL 79.546909 138.261327 \nL 80.562212 138.749075 \nL 81.446475 139.37455 \nL 82.169111 140.104273 \nL 82.708912 140.903695 \nL 83.053256 141.738809 \nL 83.19702 142.577224 \nL 83.141493 143.388797 \nL 82.893414 144.145872 \nL 82.464322 144.823337 \nL 81.870158 145.398685 \nL 81.131149 145.852045 \nL 80.271851 146.166423 \nL 79.32127 146.328089 \nL 78.312884 146.32725 \nL 77.284426 146.158896 \nL 76.277277 145.823838 \nL 75.335289 145.329757 \nL 74.502979 144.692102 \nL 73.823051 143.934646 \nL 73.333418 143.08933 \nL 73.063956 142.195288 \nL 73.033448 141.296881 \nL 73.247173 140.440821 \nL 73.695648 139.672645 \nL 74.354841 139.03301 \nL 75.187941 138.554393 \nL 76.148452 138.258645 \nL 77.184178 138.155805 \nL 78.241394 138.244223 \nL 79.268734 138.511799 \nL 80.220242 138.938054 \nL 81.05739 139.496525 \nL 81.750064 140.15711 \nL 82.276669 140.888142 \nL 82.623639 141.657959 \nL 82.784592 142.436047 \nL 82.759412 143.193709 \nL 82.553413 143.904439 \nL 82.176713 144.544094 \nL 81.643821 145.091007 \nL 80.973448 145.526097 \nL 80.188461 145.833103 \nL 79.315897 145.998964 \nL 78.386899 146.014403 \nL 77.436443 145.874673 \nL 76.502731 145.580443 \nL 75.626091 145.138684 \nL 74.847343 144.563409 \nL 74.205627 143.87611 \nL 73.73576 143.105598 \nL 73.46544 142.287134 \nL 73.412512 141.460707 \nL 73.582874 140.668577 \nL 73.969286 139.95218 \nL 74.55145 139.348937 \nL 75.297411 138.889296 \nL 76.166141 138.594469 \nL 77.110919 138.475254 \nL 78.083005 138.531917 \nL 79.035108 138.755144 \nL 79.924226 139.127651 \nL 80.713653 139.626268 \nL 81.37407 140.223995 \nL 81.883863 140.891909 \nL 82.228857 141.600664 \nL 82.401691 142.321627 \nL 82.401078 143.027611 \nL 82.231064 143.693337 \nL 81.900457 144.295681 \nL 81.422413 144.813868 \nL 80.814198 145.229611 \nL 80.097066 145.527361 \nL 79.296199 145.694711 \nL 78.00222 145.683145 \nL 76.697577 145.348615 \nL 75.882649 144.953096 \nL 75.155292 144.433504 \nL 74.5514 143.809334 \nL 74.102963 143.106642 \nL 73.835589 142.357273 \nL 73.766136 141.597368 \nL 73.900839 140.865172 \nL 74.234222 140.19842 \nL 74.749075 139.631482 \nL 75.417592 139.192763 \nL 76.203518 138.902646 \nL 77.06503 138.772312 \nL 77.957958 138.803483 \nL 78.838876 138.9891 \nL 80.05152 139.52371 \nL 81.036671 140.300504 \nL 81.716388 141.232702 \nL 81.976979 141.895499 \nL 82.076697 142.560566 \nL 82.015956 143.203025 \nL 81.800093 143.799803 \nL 81.438899 144.329911 \nL 80.946285 144.774646 \nL 80.000982 145.247024 \nL 78.876878 145.449234 \nL 77.667452 145.356705 \nL 76.48047 144.967052 \nL 75.431311 144.304794 \nL 74.864325 143.73755 \nL 74.438147 143.096415 \nL 74.176439 142.410211 \nL 74.095052 141.71164 \nL 74.200361 141.03539 \nL 74.48828 140.415813 \nL 74.944182 139.884451 \nL 75.5438 139.467718 \nL 76.255054 139.185041 \nL 77.040486 139.047703 \nL 78.2702 139.118107 \nL 79.445252 139.496675 \nL 80.45165 140.128706 \nL 81.203305 140.93967 \nL 81.64558 141.846367 \nL 81.754046 142.765499 \nL 81.641069 143.346398 \nL 81.386826 143.877088 \nL 80.765069 144.538142 \nL 79.902766 144.990073 \nL 78.870387 145.192638 \nL 77.754736 145.122512 \nL 76.655544 144.777196 \nL 75.679145 144.179023 \nL 74.928486 143.37771 \nL 74.597249 142.76734 \nL 74.42396 142.128194 \nL 74.419385 141.491067 \nL 74.585294 140.887625 \nL 74.913914 140.348249 \nL 75.388266 139.899897 \nL 75.98328 139.56419 \nL 76.667664 139.356021 \nL 77.784352 139.296995 \nL 78.900295 139.533571 \nL 79.902783 140.027211 \nL 80.700722 140.716426 \nL 81.230641 141.527107 \nL 81.457632 142.381399 \nL 81.373271 143.204119 \nL 80.992523 143.926895 \nL 80.350931 144.490803 \nL 79.502509 144.848553 \nL 78.517952 144.966907 \nL 77.48223 144.829836 \nL 76.49038 144.442047 \nL 75.640479 143.832097 \nL 75.023568 143.053604 \nL 74.711338 142.182887 \nL 74.693899 141.596265 \nL 74.832733 141.038223 \nL 75.121434 140.536534 \nL 75.545267 140.116026 \nL 76.384348 139.680013 \nL 77.379309 139.512906 \nL 78.419524 139.623108 \nL 79.396691 139.987242 \nL 80.217734 140.55706 \nL 80.812689 141.268463 \nL 81.137716 142.050207 \nL 81.174541 142.830825 \nL 80.928163 143.543447 \nL 80.424255 144.129031 \nL 79.70688 144.538761 \nL 78.836559 144.736344 \nL 77.888024 144.700749 \nL 76.9467 144.429263 \nL 76.10303 143.940416 \nL 75.444141 143.275547 \nL 75.043312 142.497726 \nL 74.948835 141.686791 \nL 75.174911 140.930225 \nL 75.697394 140.311202 \nL 76.45625 139.896295 \nL 77.364589 139.726019 \nL 78.322012 139.810518 \nL 79.228871 140.130851 \nL 79.998132 140.64472 \nL 80.56309 141.294312 \nL 80.880739 142.014207 \nL 80.931863 142.737887 \nL 80.719323 143.402524 \nL 80.26579 143.952301 \nL 79.611601 144.340954 \nL 78.812739 144.534078 \nL 77.938472 144.511694 \nL 77.067854 144.270991 \nL 76.284347 143.828813 \nL 75.668174 143.22289 \nL 75.286854 142.510688 \nL 75.185301 141.764853 \nL 75.377706 141.065099 \nL 75.843696 140.487604 \nL 76.530252 140.094054 \nL 77.359486 139.923099 \nL 78.240294 139.986084 \nL 79.08107 140.267815 \nL 79.800628 140.731223 \nL 80.335629 141.324198 \nL 80.644205 141.986755 \nL 80.706546 142.657094 \nL 80.523692 143.276311 \nL 80.115605 143.791767 \nL 79.51914 144.159679 \nL 78.786016 144.347464 \nL 77.980394 144.336134 \nL 77.175422 144.122798 \nL 76.448134 143.722743 \nL 75.872447 143.170414 \nL 75.510604 142.518202 \nL 75.404346 141.832276 \nL 75.567716 141.18533 \nL 75.98351 140.647149 \nL 76.604868 140.274849 \nL 77.361891 140.105116 \nL 78.171904 140.150135 \nL 78.950759 140.397824 \nL 79.622878 140.8157 \nL 80.128336 141.356856 \nL 80.426616 141.966325 \nL 80.497607 142.586803 \nL 80.340819 143.16317 \nL 79.973752 143.645873 \nL 79.43003 143.993537 \nL 78.757381 144.175351 \nL 78.01519 144.17327 \nL 77.271121 143.984305 \nL 76.59629 143.622331 \nL 76.058834 143.118775 \nL 75.716167 142.521434 \nL 75.607086 141.890629 \nL 75.745351 141.292696 \nL 76.116475 140.791591 \nL 76.67897 140.440166 \nL 77.370074 140.273132 \nL 78.114727 140.303156 \nL 78.835701 140.520775 \nL 79.462752 140.897565 \nL 79.939347 141.391294 \nL 80.226483 141.951666 \nL 80.303986 142.525615 \nL 80.170083 143.061651 \nL 79.840063 143.513203 \nL 79.34455 143.841251 \nL 78.727532 144.016646 \nL 78.04394 144.022271 \nL 77.356346 143.85505 \nL 76.730416 143.527531 \nL 76.228981 143.068391 \nL 75.905026 142.521258 \nL 75.79462 141.941163 \nL 75.911158 141.388676 \nL 76.242465 140.922442 \nL 76.751774 140.591337 \nL 77.382695 140.428091 \nL 78.067077 140.445624 \nL 78.734065 140.636688 \nL 79.485283 141.11639 \nL 79.879478 141.59366 \nL 80.09187 142.119348 \nL 80.10823 142.64432 \nL 79.931258 143.121653 \nL 79.579295 143.509702 \nL 79.084638 143.774554 \nL 78.49151 143.892216 \nL 77.640931 143.801187 \nL 76.851883 143.438214 \nL 76.384314 143.019557 \nL 76.078489 142.518387 \nL 75.967952 141.984933 \nL 76.065675 141.474559 \nL 76.361458 141.041028 \nL 76.822705 140.729542 \nL 77.398697 140.570917 \nL 78.237604 140.616924 \nL 79.018432 140.936364 \nL 79.610031 141.462665 \nL 79.922211 142.099591 \nL 79.946739 142.585492 \nL 79.791818 143.02956 \nL 79.473735 143.392716 \nL 79.021993 143.643018 \nL 78.283502 143.763597 \nL 77.500011 143.622323 \nL 76.802906 143.238085 \nL 76.315309 142.672372 \nL 76.143638 142.186814 \nL 76.161209 141.703364 \nL 76.366626 141.272493 \nL 76.737496 140.939153 \nL 77.233173 140.737048 \nL 77.994816 140.701161 \nL 78.743165 140.926958 \nL 79.349568 141.364971 \nL 79.718096 141.933014 \nL 79.797109 142.533513 \nL 79.661806 142.946375 \nL 79.249251 143.377454 \nL 78.635756 143.611362 \nL 77.92011 143.60957 \nL 77.220085 143.369348 \nL 76.655827 142.927391 \nL 76.329013 142.357651 \nL 76.278872 141.906606 \nL 76.404004 141.486811 \nL 76.690958 141.141943 \nL 77.269079 140.857807 \nL 77.967965 140.815347 \nL 78.659988 141.014535 \nL 79.225907 141.411873 \nL 79.575411 141.932843 \nL 79.658554 142.487645 \nL 79.468943 142.985952 \nL 79.041349 143.349035 \nL 78.445877 143.519373 \nL 77.779224 143.468297 \nL 77.152326 143.201609 \nL 76.673776 142.761608 \nL 76.430193 142.223187 \nL 76.467498 141.682259 \nL 76.778904 141.237352 \nL 77.304852 140.968694 \nL 77.946087 140.92119 \nL 78.585784 141.096739 \nL 79.113512 141.457108 \nL 79.444408 141.934786 \nL 79.530363 142.447152 \nL 79.363672 142.910294 \nL 78.975241 143.250572 \nL 78.429241 143.413873 \nL 77.814829 143.372921 \nL 77.234436 143.132463 \nL 76.788361 142.730948 \nL 76.556804 142.236779 \nL 76.582864 141.737724 \nL 76.861682 141.324234 \nL 77.340155 141.070565 \nL 77.928409 141.019274 \nL 78.519519 141.173799 \nL 79.011286 141.500567 \nL 79.324086 141.938417 \nL 79.411749 142.411409 \nL 79.265527 142.841657 \nL 78.912815 143.160339 \nL 78.412306 143.316586 \nL 77.846149 143.284467 \nL 77.30891 143.067768 \nL 76.893244 142.701404 \nL 76.673423 142.247872 \nL 76.689909 141.787493 \nL 76.939462 141.403332 \nL 77.374736 141.164123 \nL 77.914316 141.110092 \nL 78.460357 141.245922 \nL 78.918328 141.542154 \nL 79.213626 141.943398 \nL 79.302075 142.379883 \nL 79.174113 142.77939 \nL 78.853974 143.077643 \nL 78.395286 143.226883 \nL 77.8737 143.202454 \nL 77.266292 142.934898 \nL 76.918318 142.57398 \nL 76.761991 142.148396 \nL 76.825882 141.733786 \nL 77.097721 141.404715 \nL 77.526232 141.219397 \nL 78.032056 141.208059 \nL 78.635334 141.431627 \nL 79.059308 141.851623 \nL 79.197492 142.251861 \nL 79.135033 142.636678 \nL 78.885669 142.943519 \nL 78.492007 143.123128 \nL 77.897873 143.126454 \nL 77.335461 142.884979 \nL 76.955063 142.460567 \nL 76.854794 142.064832 \nL 76.957826 141.694961 \nL 77.244523 141.417148 \nL 77.661183 141.279918 \nL 78.247481 141.335896 \nL 78.756907 141.619611 \nL 79.058406 142.048332 \nL 79.081036 142.506816 \nL 78.896672 142.815516 \nL 78.46589 143.047478 \nL 77.91905 143.056056 \nL 77.398377 142.838228 \nL 77.042801 142.450126 \nL 76.949875 141.995962 \nL 77.084478 141.669285 \nL 77.37955 141.438755 \nL 77.888583 141.343835 \nL 78.418876 141.479421 \nL 78.828601 141.801812 \nL 79.014868 142.220529 \nL 78.936207 142.625213 \nL 78.617974 142.913069 \nL 78.143962 143.011799 \nL 77.637163 142.896066 \nL 77.231271 142.595261 \nL 77.036118 142.189111 \nL 77.105289 141.788373 \nL 77.417901 141.503311 \nL 77.884187 141.410309 \nL 78.373929 141.529738 \nL 78.756038 141.823147 \nL 78.934058 142.208174 \nL 78.867759 142.583081 \nL 78.578913 142.85226 \nL 78.143937 142.947923 \nL 77.676034 142.845668 \nL 77.298653 142.571733 \nL 77.113606 142.198866 \nL 77.171356 141.828568 \nL 77.454294 141.562453 \nL 77.881377 141.471749 \nL 78.333559 141.57678 \nL 78.74066 141.910443 \nL 78.866715 142.270724 \nL 78.766695 142.605365 \nL 78.470272 142.829089 \nL 78.055597 142.885432 \nL 77.555018 142.715245 \nL 77.229739 142.349532 \nL 77.186392 141.995492 \nL 77.36492 141.699579 \nL 77.713741 141.542089 \nL 78.2173 141.588587 \nL 78.629122 141.863498 \nL 78.798584 142.256242 \nL 78.711476 142.566524 \nL 78.441792 142.776123 \nL 77.979918 142.822768 \nL 77.532126 142.633591 \nL 77.26827 142.279907 \nL 77.265319 141.95696 \nL 77.462121 141.702358 \nL 77.802248 141.584649 \nL 78.264727 141.661639 \nL 78.618792 141.938399 \nL 78.735953 142.305127 \nL 78.623067 142.579824 \nL 78.282699 142.768167 \nL 77.842721 142.740631 \nL 77.468344 142.508059 \nL 77.302183 142.158931 \nL 77.371617 141.876183 \nL 77.610842 141.683332 \nL 78.024473 141.639544 \nL 78.42172 141.807682 \nL 78.653717 142.117782 \nL 78.639284 142.450507 \nL 78.389351 142.682843 \nL 77.999406 142.730546 \nL 77.615757 142.576857 \nL 77.38372 142.280204 \nL 77.39185 141.954759 \nL 77.634681 141.726573 \nL 78.014282 141.681937 \nL 78.382213 141.833105 \nL 78.600386 142.1172 \nL 78.592022 142.424791 \nL 78.365286 142.64186 \nL 78.007087 142.689532 \nL 77.603137 142.512788 \nL 77.418702 142.228199 \nL 77.460498 141.934751 \nL 77.70984 141.745794 \nL 78.066825 141.732032 \nL 78.434813 141.934346 \nL 78.577333 142.263322 \nL 78.46722 142.518801 \nL 78.186354 142.649903 \nL 77.786343 142.586007 \nL 77.502514 142.324806 \nL 77.464982 142.044706 \nL 77.63425 141.826413 \nL 77.99833 141.757542 \nL 78.356998 141.913281 \nL 78.529297 142.2077 \nL 78.46392 142.455989 \nL 78.228224 142.603184 \nL 77.859669 142.579051 \nL 77.569657 142.360909 \nL 77.506025 142.061457 \nL 77.658472 141.858377 \nL 77.992192 141.791181 \nL 78.324412 141.93135 \nL 78.487324 142.201593 \nL 78.404329 142.462943 \nL 78.122149 142.585377 \nL 77.784899 142.509483 \nL 77.549784 142.235292 \nL 77.592615 141.970592 \nL 77.845496 141.826144 \nL 78.173848 141.873391 \nL 78.426681 142.120093 \nL 78.419572 142.377846 \nL 78.204141 142.539127 \nL 77.848268 142.507794 \nL 77.600333 142.273206 \nL 77.603558 142.022692 \nL 77.811819 141.865293 \nL 78.155401 141.896426 \nL 78.391617 142.121727 \nL 78.388809 142.359869 \nL 78.192855 142.510862 \nL 77.865042 142.48524 \nL 77.633786 142.271011 \nL 77.650078 142.01116 \nL 77.859915 141.883625 \nL 78.175683 141.935752 \nL 78.371728 142.15576 \nL 78.324989 142.396181 \nL 78.071598 142.501681 \nL 77.749917 142.382177 \nL 77.638436 142.143604 \nL 77.769536 141.943896 \nL 78.051613 141.914014 \nL 78.314449 142.096696 \nL 78.333798 142.328807 \nL 78.139294 142.469535 \nL 77.829373 142.412128 \nL 77.667935 142.179814 \nL 77.759264 141.981892 \nL 78.009232 141.928686 \nL 78.270369 142.0756 \nL 78.309253 142.315424 \nL 78.13227 142.447246 \nL 77.846351 142.397134 \nL 77.694632 142.184204 \nL 77.775785 142.00065 \nL 78.036617 141.954723 \nL 78.277694 142.130085 \nL 78.26089 142.345602 \nL 78.037249 142.434859 \nL 77.77255 142.307104 \nL 77.731877 142.093618 \nL 77.914311 141.96838 \nL 78.187469 142.048962 \nL 78.27264 142.270896 \nL 78.118979 142.407828 \nL 77.852203 142.355091 \nL 77.741363 142.146492 \nL 77.868717 141.998992 \nL 78.127016 142.02802 \nL 78.2569 142.220672 \nL 78.157215 142.374091 \nL 77.911706 142.369692 \nL 77.761006 142.173279 \nL 77.876726 142.0154 \nL 78.114685 142.039674 \nL 78.236329 142.235888 \nL 78.106748 142.374441 \nL 77.860776 142.320294 \nL 77.788635 142.122023 \nL 77.947851 142.01631 \nL 78.172655 142.105833 \nL 78.194311 142.296778 \nL 78.016332 142.367353 \nL 77.81108 142.233735 \nL 77.858289 142.061886 \nL 78.074275 142.051417 \nL 78.201538 142.225809 \nL 78.076983 142.350729 \nL 77.857449 142.278084 \nL 77.843497 142.095568 \nL 78.02901 142.049374 \nL 78.185868 142.206147 \nL 78.090277 142.333773 \nL 77.883001 142.285568 \nL 77.854949 142.104778 \nL 78.042456 142.065208 \nL 78.171835 142.217845 \nL 78.05347 142.329256 \nL 77.862718 142.243472 \nL 77.897842 142.08606 \nL 78.096599 142.104389 \nL 78.137041 142.273931 \nL 77.957877 142.306538 \nL 77.85867 142.1537 \nL 78.002876 142.077396 \nL 78.14654 142.211594 \nL 78.035153 142.310023 \nL 77.870041 142.204458 \nL 77.946633 142.089554 \nL 77.959775 142.086987 \nL 78.128499 142.17534 \nL 78.071725 142.293311 \nL 78.059763 142.296973 \nL 77.88954 142.226375 \nL 77.92741 142.106411 \nL 77.949704 142.098234 \nL 78.118218 142.175687 \nL 78.067668 142.285174 \nL 78.045217 142.291141 \nL 77.890883 142.20548 \nL 77.952644 142.106212 \nL 77.975146 142.102378 \nL 78.115429 142.204684 \nL 78.021083 142.285303 \nL 78.0097 142.284781 \nL 77.896876 142.178344 \nL 77.900573 142.160936 \nL 78.030404 142.116721 \nL 78.103138 142.228304 \nL 78.083794 142.256508 \nL 77.927387 142.238023 \nL 77.926752 142.137281 \nL 77.967464 142.118045 \nL 78.097368 142.193255 \nL 78.09856 142.209393 \nL 78.001422 142.270414 \nL 77.982285 142.265846 \nL 77.915596 142.167856 \nL 77.938315 142.137488 \nL 78.080862 142.170495 \nL 78.060611 142.255154 \nL 78.011597 142.265585 \nL 77.920707 142.177598 \nL 77.93712 142.147254 \nL 78.069871 142.165301 \nL 78.074335 142.171674 \nL 78.056911 142.250047 \nL 77.995516 142.257967 \nL 77.928454 142.173487 \nL 77.965592 142.137468 \nL 78.076513 142.191467 \nL 78.074272 142.222143 \nL 77.975228 142.245834 \nL 77.951027 142.228635 \nL 77.946127 142.155541 \nL 78.024282 142.144191 \nL 78.069002 142.219439 \nL 77.941173 142.172874 \nL 78.003811 142.195527 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p6c7363f20c\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     }
@@ -703,14 +703,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import scipy.io.savemet as savemat\n",
+    "import scipy.io\n",
     "\n",
-    "savemat(\"Lorenz63_fit.mat\", {\"x\": results_test_np})"
+    "scipy.io.savemat(\"Lorenz63_fit.mat\", {\"x\": results_test_np})"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
index 75dde665..098b0cb2 100644
--- a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
@@ -115,7 +115,7 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T14:43:25.224994</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m8d4312a850\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#m8d4312a850\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#m8d4312a850\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#m8d4312a850\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#m8d4312a850\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#m8d4312a850\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#m8d4312a850\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#m8d4312a850\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf95ed89735\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf95ed89735\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf95ed89735\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf95ed89735\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf95ed89735\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf95ed89735\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf95ed89735\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p40360d8762)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p40360d8762\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:34.405351</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m969da113b9\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#m969da113b9\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#m969da113b9\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#m969da113b9\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#m969da113b9\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#m969da113b9\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#m969da113b9\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#m969da113b9\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m83042323df\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m83042323df\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m83042323df\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m83042323df\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m83042323df\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m83042323df\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m83042323df\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p766c151f5c)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p766c151f5c\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -124,7 +124,7 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T14:43:25.436888</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#p0861279c62)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p0861279c62\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:35.339856</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#pe49726afd4)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe49726afd4\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -153,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -179,7 +179,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 16,
    "metadata": {
     "tags": []
    },
@@ -188,56 +188,56 @@
      "output_type": "stream",
      "name": "stdout",
      "text": [
-      "Epoch: 0\t Loss: tensor(1.7005, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 0\t Loss: tensor(1.0166, grad_fn=<MseLossBackward>)\n",
       "{'sigma': Parameter containing:\n",
-      "tensor(7.6356, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(7.8562, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(1.8611, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(0.2250, grad_fn=<MseLossBackward>)\n",
+      "tensor(7.4447, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(25.9663, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(9.6339, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(0.1197, grad_fn=<MseLossBackward>)\n",
       "{'sigma': Parameter containing:\n",
-      "tensor(9.2038, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.8290, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.5708, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(0.2055, grad_fn=<MseLossBackward>)\n",
+      "tensor(8.0665, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.9027, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(4.7454, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(0.0019, grad_fn=<MseLossBackward>)\n",
       "{'sigma': Parameter containing:\n",
-      "tensor(9.6030, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(20.1962, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.9449, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(0.0560, grad_fn=<MseLossBackward>)\n",
+      "tensor(8.5213, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.6596, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.3149, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(0.0140, grad_fn=<MseLossBackward>)\n",
       "{'sigma': Parameter containing:\n",
-      "tensor(9.7588, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(24.1160, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6037, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(0.0110, grad_fn=<MseLossBackward>)\n",
+      "tensor(8.7199, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.8255, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.0957, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
       "{'sigma': Parameter containing:\n",
-      "tensor(9.7591, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(26.3137, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7577, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
+      "tensor(9.3548, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9116, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.5468, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(0.0006, grad_fn=<MseLossBackward>)\n",
       "{'sigma': Parameter containing:\n",
-      "tensor(9.7842, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.4336, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6797, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
+      "tensor(9.4170, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9516, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6025, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(8.0349e-05, grad_fn=<MseLossBackward>)\n",
       "{'sigma': Parameter containing:\n",
-      "tensor(9.6961, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.8887, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6996, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "tensor(9.4587, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9846, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6392, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(3.9863e-05, grad_fn=<MseLossBackward>)\n",
       "{'sigma': Parameter containing:\n",
-      "tensor(9.6755, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.8724, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6719, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
+      "tensor(9.4761, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.0087, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6611, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(9.9995e-05, grad_fn=<MseLossBackward>)\n",
       "{'sigma': Parameter containing:\n",
-      "tensor(9.6610, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9321, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7177, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
+      "tensor(9.5049, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.0287, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6747, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
       "{'sigma': Parameter containing:\n",
-      "tensor(9.8077, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9714, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6987, requires_grad=True)}\n"
+      "tensor(9.5182, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.0124, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6850, requires_grad=True)}\n"
      ]
     }
    ],
@@ -247,14 +247,14 @@
     "    torch.optim.Adam,\n",
     "    {\"lr\": 0.5},\n",
     "    max_epochs=10,\n",
-    "    # scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    # scheduler_params={\"milestones\": [20,50],\"gamma\": 0.5}\n",
+    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    scheduler_params={\"milestones\": [5],\"gamma\": 0.2}\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -262,15 +262,15 @@
      "data": {
       "text/plain": [
        "{'sigma': Parameter containing:\n",
-       " tensor(9.8077, requires_grad=True),\n",
+       " tensor(9.5182, requires_grad=True),\n",
        " 'rho': Parameter containing:\n",
-       " tensor(27.9714, requires_grad=True),\n",
+       " tensor(28.0124, requires_grad=True),\n",
        " 'beta': Parameter containing:\n",
-       " tensor(2.6987, requires_grad=True)}"
+       " tensor(2.6850, requires_grad=True)}"
       ]
      },
      "metadata": {},
-     "execution_count": 9
+     "execution_count": 17
     }
    ],
    "source": [
@@ -288,7 +288,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -297,7 +297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -305,16 +305,16 @@
      "data": {
       "text/plain": [
        "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 9.0192e-01,  2.7971e-01,  0.0000e+00],\n",
-       "        [ 8.4090e-01,  5.2920e-01,  2.5228e-03],\n",
+       "        [ 9.0482e-01,  2.8012e-01,  0.0000e+00],\n",
+       "        [ 8.4536e-01,  5.3078e-01,  2.5346e-03],\n",
        "        ...,\n",
-       "        [-5.7779e+00, -8.5115e+00,  1.8232e+01],\n",
-       "        [-6.0460e+00, -8.9891e+00,  1.8232e+01],\n",
-       "        [-6.3347e+00, -9.4881e+00,  1.8283e+01]], grad_fn=<StackBackward>)"
+       "        [-9.5352e-01, -3.5295e+00,  2.2755e+01],\n",
+       "        [-1.1987e+00, -3.5444e+00,  2.2178e+01],\n",
+       "        [-1.4220e+00, -3.5789e+00,  2.1625e+01]], grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
-     "execution_count": 14
+     "execution_count": 19
     }
    ],
    "source": [
@@ -323,22 +323,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
      "output_type": "stream",
      "name": "stderr",
      "text": [
-      "<ipython-input-15-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+      "<ipython-input-20-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
      ]
     },
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T14:48:38.486630</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"maf1cd87227\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.470348\" xlink:href=\"#maf1cd87227\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(35.918004 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"124.115875\" xlink:href=\"#maf1cd87227\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −10 -->\n      <g transform=\"translate(113.563531 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"201.761402\" xlink:href=\"#maf1cd87227\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(198.580152 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"279.406929\" xlink:href=\"#maf1cd87227\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 10 -->\n      <g transform=\"translate(273.044429 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"357.052456\" xlink:href=\"#maf1cd87227\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 20 -->\n      <g transform=\"translate(350.689956 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_6\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf690232b68\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf690232b68\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf690232b68\" y=\"216.416756\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.215975)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf690232b68\" y=\"171.617513\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.416731)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf690232b68\" y=\"126.818269\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 130.617488)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf690232b68\" y=\"82.019025\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 85.818244)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mf690232b68\" y=\"37.219782\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 41.019001)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p71480df29c)\" d=\"M 209.525955 261.216 \nL 208.014216 261.158345 \nL 208.145812 261.124614 \nL 211.827301 260.685068 \nL 215.520937 260.143292 \nL 218.838222 259.526865 \nL 223.002664 258.571811 \nL 228.198797 257.092534 \nL 231.252516 256.072776 \nL 234.651678 254.80579 \nL 238.430382 253.233308 \nL 242.624581 251.284332 \nL 247.271397 248.872902 \nL 252.408097 245.895792 \nL 258.070526 242.230348 \nL 264.290859 237.732849 \nL 271.094403 232.23797 \nL 278.495251 225.560269 \nL 286.490435 217.498974 \nL 295.052372 207.847827 \nL 304.11935 196.412146 \nL 313.584228 183.035455 \nL 323.28164 167.637637 \nL 332.975083 150.265053 \nL 342.345882 131.149694 \nL 350.987688 110.76875 \nL 358.411232 89.888356 \nL 364.064868 69.567234 \nL 367.375668 51.093356 \nL 367.812273 35.834725 \nL 364.964173 25.01126 \nL 358.62313 19.434289 \nL 348.845138 19.296 \nL 335.970288 24.096559 \nL 320.587754 32.752726 \nL 303.450921 43.854221 \nL 285.366193 55.969502 \nL 267.086969 67.893141 \nL 249.238212 78.773326 \nL 232.281743 88.12133 \nL 216.517487 95.745732 \nL 202.107774 101.660461 \nL 189.111214 106.000388 \nL 177.516354 108.958966 \nL 167.269864 110.748909 \nL 158.297602 111.580863 \nL 150.518832 111.653716 \nL 143.854866 111.151539 \nL 138.233452 110.243366 \nL 133.590201 109.083822 \nL 129.868011 107.813556 \nL 127.015276 106.558789 \nL 124.983524 105.430315 \nL 123.724906 104.521988 \nL 123.189883 103.909191 \nL 123.325392 103.647669 \nL 124.073712 103.773055 \nL 125.37202 104.301345 \nL 127.152725 105.230452 \nL 129.344443 106.542606 \nL 131.873512 108.207487 \nL 137.648647 112.432743 \nL 143.913687 117.54522 \nL 150.180889 123.188183 \nL 153.192762 126.113163 \nL 156.073324 129.066298 \nL 158.794327 132.023389 \nL 161.334477 134.964963 \nL 163.678758 137.875681 \nL 165.817657 140.743719 \nL 167.746318 143.560095 \nL 169.463722 146.318101 \nL 170.971877 149.012756 \nL 172.27509 151.640352 \nL 173.379306 154.198078 \nL 174.291532 156.683737 \nL 175.019344 159.095491 \nL 175.570486 161.431668 \nL 175.952526 163.690625 \nL 176.172604 165.870603 \nL 176.237221 167.969653 \nL 176.152087 169.98552 \nL 175.92202 171.915572 \nL 175.550868 173.756715 \nL 175.04147 175.505318 \nL 174.395639 177.157118 \nL 173.614171 178.707098 \nL 172.696863 180.149413 \nL 171.642555 181.477263 \nL 170.449179 182.68276 \nL 169.113836 183.756779 \nL 167.632865 184.688818 \nL 166.001964 185.466828 \nL 164.216313 186.077071 \nL 162.270728 186.503925 \nL 160.159856 186.729755 \nL 157.878409 186.734762 \nL 155.421449 186.496927 \nL 152.784754 185.991948 \nL 149.96523 185.193327 \nL 146.961436 184.072577 \nL 143.77419 182.599611 \nL 140.407299 180.743386 \nL 136.868397 178.472825 \nL 133.169887 175.758192 \nL 129.330018 172.572862 \nL 125.373982 168.895642 \nL 121.335115 164.713674 \nL 117.255988 160.025804 \nL 113.189376 154.846464 \nL 109.198929 149.209705 \nL 105.359364 143.173127 \nL 101.755969 136.821119 \nL 98.483194 130.266762 \nL 95.642188 123.651609 \nL 93.337035 117.14259 \nL 91.669795 110.925513 \nL 90.73448 105.19494 \nL 90.610308 100.141046 \nL 91.35494 95.934572 \nL 92.998418 92.711892 \nL 95.538705 90.562385 \nL 98.939622 89.520434 \nL 103.131621 89.563551 \nL 108.015567 90.616952 \nL 113.469064 92.563896 \nL 119.354598 95.259671 \nL 125.528425 98.546796 \nL 131.849128 102.269038 \nL 138.18498 106.282571 \nL 144.419475 110.463308 \nL 150.454835 114.710405 \nL 156.21355 118.946623 \nL 161.638276 123.116466 \nL 166.690501 127.182926 \nL 171.348389 131.123769 \nL 175.604239 134.927895 \nL 179.461798 138.592101 \nL 182.933699 142.11842 \nL 186.039123 145.512072 \nL 188.801781 148.779971 \nL 191.248215 151.929687 \nL 193.406429 154.968766 \nL 195.30482 157.904349 \nL 196.971365 160.742959 \nL 198.433031 163.490412 \nL 200.842295 168.731676 \nL 202.716372 173.66168 \nL 204.210069 178.305784 \nL 206.008951 184.776966 \nL 208.594478 194.349471 \nL 209.686937 197.777653 \nL 210.897594 200.981679 \nL 212.278829 203.959167 \nL 213.884296 206.702019 \nL 215.771849 209.194411 \nL 216.841298 210.338929 \nL 218.006216 211.409871 \nL 219.276175 212.401587 \nL 220.66147 213.307154 \nL 222.173185 214.118156 \nL 223.823246 214.824403 \nL 225.624457 215.413617 \nL 227.590529 215.871074 \nL 229.736076 216.179182 \nL 232.07658 216.316992 \nL 234.628315 216.259686 \nL 237.408205 215.977978 \nL 240.433595 215.437491 \nL 243.721928 214.59812 \nL 247.29028 213.413429 \nL 251.154703 211.830121 \nL 255.329367 209.787718 \nL 259.825406 207.21856 \nL 264.649425 204.04834 \nL 269.801633 200.197414 \nL 275.273503 195.583247 \nL 281.04492 190.124352 \nL 287.080906 183.746201 \nL 293.327856 176.389481 \nL 299.709559 168.021033 \nL 306.123282 158.647403 \nL 312.436416 148.330413 \nL 318.484472 137.203378 \nL 324.071353 125.485352 \nL 328.973085 113.489629 \nL 332.946056 101.621907 \nL 335.740574 90.363308 \nL 337.119758 80.235423 \nL 336.88264 71.748015 \nL 334.888675 65.335467 \nL 331.079781 61.293907 \nL 325.495181 59.734109 \nL 318.274951 60.563585 \nL 309.650317 63.504441 \nL 299.921701 68.142922 \nL 289.428608 73.997274 \nL 278.517081 80.586288 \nL 256.688921 94.35078 \nL 236.433534 107.117789 \nL 218.846397 117.940314 \nL 183.16123 139.613638 \nL 172.657762 146.371497 \nL 162.868556 152.786224 \nL 158.987842 155.067441 \nL 155.438417 156.761588 \nL 153.728862 157.385972 \nL 152.038004 157.858302 \nL 150.351127 158.174903 \nL 148.656363 158.331554 \nL 146.944549 158.323736 \nL 145.20911 158.146833 \nL 143.445966 157.796403 \nL 141.653488 157.268422 \nL 139.83246 156.559607 \nL 137.986086 155.667762 \nL 136.119989 154.592163 \nL 134.242206 153.333936 \nL 132.363224 151.896533 \nL 130.495927 150.286142 \nL 128.655562 148.512161 \nL 126.85964 146.587569 \nL 125.127763 144.529303 \nL 123.481368 142.358477 \nL 121.943402 140.100485 \nL 120.537857 137.78491 \nL 119.289206 135.445213 \nL 118.221767 133.118188 \nL 117.358901 130.843133 \nL 116.722217 128.660788 \nL 116.330678 126.612049 \nL 116.199753 124.736522 \nL 116.340593 123.071025 \nL 116.759352 121.648081 \nL 117.456667 120.49463 \nL 118.427318 119.630941 \nL 119.660189 119.069899 \nL 121.138472 118.8167 \nL 122.84013 118.868977 \nL 124.738586 119.217313 \nL 126.803637 119.846158 \nL 129.002457 120.734909 \nL 131.300702 121.859205 \nL 133.663576 123.192233 \nL 136.05687 124.705966 \nL 138.447838 126.372249 \nL 140.805947 128.163713 \nL 143.103444 130.054458 \nL 147.421611 134.04017 \nL 149.403264 136.093924 \nL 151.24624 138.164606 \nL 152.939231 140.23715 \nL 154.473816 142.298424 \nL 155.84414 144.336977 \nL 157.046566 146.342787 \nL 158.079321 148.307009 \nL 158.942146 150.22174 \nL 159.63597 152.079793 \nL 160.162607 153.874487 \nL 160.524482 155.599481 \nL 160.72441 157.248606 \nL 160.765384 158.815727 \nL 160.650435 160.294614 \nL 160.382501 161.678826 \nL 159.964346 162.961619 \nL 159.398493 164.135851 \nL 158.687219 165.193908 \nL 157.832555 166.127621 \nL 156.83632 166.928233 \nL 155.700197 167.586326 \nL 154.425814 168.091818 \nL 153.014875 168.433942 \nL 151.469311 168.601292 \nL 149.791464 168.581878 \nL 147.984298 168.363243 \nL 146.051646 167.932629 \nL 143.998491 167.277236 \nL 141.831268 166.384554 \nL 139.558211 165.242784 \nL 137.189716 163.841406 \nL 134.738702 162.171859 \nL 132.221014 160.228315 \nL 129.655773 158.008656 \nL 127.065688 155.515469 \nL 124.477351 152.757181 \nL 121.921343 149.749197 \nL 119.432275 146.514947 \nL 117.048556 143.086808 \nL 114.812001 139.5067 \nL 112.767077 135.826259 \nL 110.959907 132.106418 \nL 109.436892 128.416262 \nL 108.243073 124.831138 \nL 107.420216 121.429949 \nL 107.00476 118.291752 \nL 107.025723 115.491876 \nL 107.502758 113.097851 \nL 108.444552 111.165621 \nL 109.847668 109.73625 \nL 111.696105 108.833768 \nL 113.961509 108.464258 \nL 116.604221 108.616235 \nL 119.574907 109.262442 \nL 122.816819 110.362651 \nL 126.268355 111.867079 \nL 129.86576 113.720185 \nL 133.545713 115.864189 \nL 137.247659 118.242235 \nL 140.915728 120.800832 \nL 144.500114 123.491556 \nL 147.958004 126.272027 \nL 151.253963 129.106236 \nL 154.359952 131.96443 \nL 157.25498 134.822615 \nL 159.924519 137.661848 \nL 162.359749 140.467475 \nL 164.556736 143.228335 \nL 166.51558 145.936055 \nL 168.239567 148.584373 \nL 169.734403 151.168595 \nL 171.007516 153.68516 \nL 172.067432 156.131248 \nL 172.923256 158.5045 \nL 173.584228 160.802806 \nL 174.059375 163.024115 \nL 174.357224 165.166283 \nL 174.485589 167.226975 \nL 174.451414 169.203553 \nL 174.260654 171.093 \nL 173.918215 172.891804 \nL 173.427911 174.595898 \nL 172.792456 176.200555 \nL 172.013479 177.700292 \nL 171.091552 179.08875 \nL 170.026251 180.358598 \nL 168.81622 181.501377 \nL 167.459251 182.507387 \nL 165.952392 183.365531 \nL 164.292076 184.063178 \nL 162.474262 184.58599 \nL 160.494629 184.917809 \nL 158.348788 185.040521 \nL 156.032546 184.933959 \nL 153.542234 184.57589 \nL 150.87509 183.942039 \nL 148.029716 183.006266 \nL 145.006636 181.740861 \nL 141.808927 180.11708 \nL 138.44298 178.105913 \nL 134.919343 175.679204 \nL 131.253659 172.811175 \nL 127.46769 169.480353 \nL 123.590382 165.672039 \nL 119.658908 161.381245 \nL 115.719607 156.616045 \nL 111.828682 151.40121 \nL 108.052554 145.781831 \nL 104.467671 139.826557 \nL 101.159538 133.629824 \nL 98.220855 127.312533 \nL 95.748581 121.020407 \nL 93.839854 114.919444 \nL 92.586879 109.188274 \nL 92.071019 104.007473 \nL 92.35658 99.546603 \nL 93.48488 95.950533 \nL 95.469411 93.326791 \nL 98.292785 91.735976 \nL 101.906095 91.187025 \nL 106.230915 91.638189 \nL 111.163859 93.003542 \nL 116.583183 95.163799 \nL 122.3566 97.979611 \nL 128.349334 101.304913 \nL 134.431578 104.998684 \nL 140.484573 108.933674 \nL 146.404998 113.001774 \nL 152.107499 117.116238 \nL 157.525557 121.211254 \nL 162.611004 125.239878 \nL 167.332524 129.171005 \nL 171.673575 132.986043 \nL 175.629989 136.675789 \nL 179.207548 140.237637 \nL 182.41968 143.673373 \nL 185.285386 146.987448 \nL 187.827454 150.185741 \nL 190.070972 153.274686 \nL 192.042122 156.260727 \nL 193.767248 159.14999 \nL 195.27215 161.948097 \nL 196.581566 164.660124 \nL 198.705657 169.843403 \nL 200.30612 174.729931 \nL 201.521718 179.343342 \nL 202.464693 183.702614 \nL 203.557553 189.798873 \nL 205.630343 202.16919 \nL 206.642373 206.751942 \nL 207.438663 209.583831 \nL 208.369235 212.240697 \nL 209.469122 214.722383 \nL 210.778319 217.024696 \nL 212.34362 219.137862 \nL 214.220562 221.04427 \nL 215.296154 221.911501 \nL 216.475504 222.715146 \nL 217.768963 223.449087 \nL 219.187835 224.105809 \nL 220.74445 224.676117 \nL 222.452232 225.148818 \nL 224.32574 225.510339 \nL 226.38072 225.744268 \nL 228.634112 225.830828 \nL 231.104027 225.746276 \nL 233.809683 225.4622 \nL 236.771262 224.944756 \nL 240.009675 224.153818 \nL 243.546196 223.042091 \nL 247.40193 221.554227 \nL 251.597069 219.62603 \nL 256.149833 217.183864 \nL 261.075079 214.144474 \nL 266.382457 210.415456 \nL 272.073998 205.896789 \nL 278.141136 200.483874 \nL 284.560982 194.072693 \nL 291.291913 186.567746 \nL 298.26856 177.893472 \nL 305.396377 168.009523 \nL 312.546289 156.929963 \nL 319.550193 144.745435 \nL 326.198383 131.645906 \nL 332.240462 117.939826 \nL 337.391427 104.063458 \nL 341.344494 90.572946 \nL 343.791799 78.112097 \nL 344.452386 67.352701 \nL 343.10522 58.911178 \nL 339.622169 53.255356 \nL 333.994406 50.623035 \nL 326.345147 50.976566 \nL 316.924024 54.009484 \nL 306.082496 59.205819 \nL 294.234951 65.934729 \nL 281.813803 73.552979 \nL 256.830842 89.293878 \nL 244.903762 96.6564 \nL 233.649753 103.392864 \nL 223.199023 109.421324 \nL 213.619521 114.732228 \nL 204.930022 119.361575 \nL 190.126355 126.827916 \nL 178.403946 132.370948 \nL 169.22847 136.48542 \nL 159.078762 140.75751 \nL 154.056183 142.678197 \nL 150.007071 144.025315 \nL 146.660758 144.88674 \nL 143.816168 145.320908 \nL 141.330466 145.369802 \nL 139.108477 145.068077 \nL 137.09349 144.449606 \nL 135.259382 143.552216 \nL 133.603789 142.420965 \nL 132.141975 141.110059 \nL 130.90104 139.68332 \nL 129.914306 138.213072 \nL 129.215739 136.777387 \nL 128.834582 135.455869 \nL 128.790478 134.324344 \nL 129.089442 133.449187 \nL 129.365051 133.124588 \nL 129.721239 132.882079 \nL 130.658383 132.656155 \nL 131.857014 132.783959 \nL 133.259478 133.257673 \nL 134.798229 134.051287 \nL 136.400514 135.124143 \nL 137.993083 136.425222 \nL 139.506443 137.897351 \nL 140.878207 139.480852 \nL 142.055324 141.116305 \nL 142.995226 142.746384 \nL 143.666068 144.316854 \nL 144.046326 145.776986 \nL 144.124011 147.079595 \nL 143.895815 148.180965 \nL 143.366368 149.040843 \nL 142.547772 149.622717 \nL 141.459488 149.894475 \nL 140.128551 149.82962 \nL 138.5901 149.409055 \nL 136.888064 148.623456 \nL 135.075756 147.4762 \nL 133.216182 145.986512 \nL 131.381637 144.192477 \nL 129.652263 142.153282 \nL 128.113267 139.949875 \nL 126.850577 137.683219 \nL 125.944956 135.469574 \nL 125.465106 133.432636 \nL 125.401202 132.518593 \nL 125.460352 131.693125 \nL 125.64463 130.968955 \nL 125.954204 130.3572 \nL 126.387248 129.867097 \nL 126.939931 129.505773 \nL 127.606464 129.278106 \nL 128.379183 129.186659 \nL 129.24872 129.231707 \nL 130.204206 129.411293 \nL 132.323475 130.156261 \nL 134.629813 131.369064 \nL 137.009571 132.976396 \nL 139.351511 134.893101 \nL 141.554063 137.03003 \nL 143.530297 139.299959 \nL 145.210477 141.621165 \nL 146.542432 143.919001 \nL 147.490387 146.125938 \nL 148.032841 148.180649 \nL 148.160145 150.02674 \nL 147.872281 151.611403 \nL 147.574843 152.289909 \nL 147.177121 152.884378 \nL 146.68117 153.388836 \nL 146.089466 153.797439 \nL 145.404917 154.104504 \nL 144.630895 154.304546 \nL 143.771273 154.392326 \nL 142.830471 154.362932 \nL 141.813533 154.211895 \nL 139.574894 153.529859 \nL 137.110691 152.324088 \nL 134.49075 150.589259 \nL 131.801374 148.343521 \nL 129.1462 145.635595 \nL 126.645203 142.551016 \nL 124.43087 139.215588 \nL 122.640976 135.793977 \nL 121.94709 134.111049 \nL 121.407742 132.481389 \nL 121.036337 130.931554 \nL 120.844129 129.487641 \nL 120.839782 128.174505 \nL 121.028969 127.014936 \nL 121.414051 126.028937 \nL 121.993844 125.233051 \nL 122.763519 124.639829 \nL 123.714628 124.257527 \nL 124.835279 124.089939 \nL 126.110388 124.136431 \nL 127.522138 124.392236 \nL 129.050433 124.848835 \nL 130.673503 125.494512 \nL 132.368489 126.314965 \nL 135.880923 128.414083 \nL 139.40533 131.004834 \nL 142.77606 133.943093 \nL 145.854599 137.094501 \nL 148.534323 140.340995 \nL 150.740359 143.582345 \nL 152.425978 146.734437 \nL 153.567144 149.725827 \nL 153.930781 151.141431 \nL 154.156574 152.49383 \nL 154.24534 153.775932 \nL 154.198326 154.980771 \nL 154.017107 156.101393 \nL 153.7035 157.130799 \nL 153.259524 158.06189 \nL 152.687358 158.887392 \nL 151.989343 159.599856 \nL 151.168001 160.191624 \nL 150.226062 160.654837 \nL 149.166557 160.981435 \nL 147.99288 161.163234 \nL 146.708908 161.191995 \nL 145.319132 161.059534 \nL 143.828797 160.757869 \nL 142.244077 160.279422 \nL 140.572254 159.617278 \nL 138.821909 158.765467 \nL 137.003121 157.719347 \nL 135.127649 156.475996 \nL 133.20914 155.034714 \nL 131.263256 153.397501 \nL 129.307833 151.569627 \nL 127.362934 149.560169 \nL 125.450837 147.382541 \nL 123.595973 145.054935 \nL 121.824695 142.600661 \nL 120.164956 140.048311 \nL 118.645843 137.431678 \nL 117.296945 134.789436 \nL 116.147593 132.164437 \nL 115.225955 129.602722 \nL 114.558022 127.152148 \nL 114.166572 124.860763 \nL 114.070079 122.774957 \nL 114.28174 120.93754 \nL 114.808625 119.385851 \nL 115.651038 118.150096 \nL 116.802174 117.252066 \nL 118.248091 116.704311 \nL 119.968024 116.509884 \nL 121.935049 116.662698 \nL 124.11703 117.148315 \nL 126.477787 117.945235 \nL 128.978399 119.026474 \nL 131.578613 120.361211 \nL 134.238156 121.916481 \nL 136.917936 123.658692 \nL 139.581129 125.554907 \nL 142.19395 127.573858 \nL 144.726281 129.686657 \nL 147.152007 131.867199 \nL 149.449167 134.092361 \nL 151.599903 136.341971 \nL 153.590273 138.598646 \nL 155.409938 140.847538 \nL 157.051791 143.076016 \nL 158.511513 145.273331 \nL 159.787144 147.430289 \nL 160.878634 149.538935 \nL 161.787428 151.592262 \nL 162.516081 153.583965 \nL 163.067913 155.508214 \nL 163.446712 157.359458 \nL 163.656473 159.13226 \nL 163.701187 160.821152 \nL 163.584686 162.420487 \nL 163.310503 163.92435 \nL 162.881792 165.326429 \nL 162.301273 166.619929 \nL 161.57121 167.797459 \nL 160.69342 168.850987 \nL 159.669314 169.771713 \nL 158.499965 170.550039 \nL 157.186207 171.175508 \nL 155.728754 171.636738 \nL 154.128354 171.921442 \nL 152.385984 172.016434 \nL 150.503071 171.907685 \nL 148.481745 171.580454 \nL 146.325152 171.019472 \nL 144.037777 170.209248 \nL 141.625835 169.134426 \nL 139.097688 167.780352 \nL 136.464299 166.133739 \nL 133.739705 164.183505 \nL 130.941507 161.921805 \nL 128.091349 159.345247 \nL 125.215333 156.456223 \nL 122.344367 153.264399 \nL 119.514388 149.788195 \nL 116.766357 146.056229 \nL 114.146031 142.108491 \nL 111.703399 137.997128 \nL 109.491724 133.786604 \nL 107.566181 129.553034 \nL 105.98206 125.382482 \nL 104.792545 121.368196 \nL 104.046194 117.606743 \nL 103.78424 114.193223 \nL 104.037901 111.215967 \nL 104.825985 108.75114 \nL 106.152964 106.857908 \nL 108.007881 105.574704 \nL 110.364105 104.917167 \nL 113.180186 104.877929 \nL 116.401624 105.428332 \nL 119.963499 106.521808 \nL 123.79369 108.09837 \nL 127.816355 110.089645 \nL 131.955387 112.423873 \nL 136.137538 115.030236 \nL 140.295027 117.842356 \nL 144.367467 120.800652 \nL 148.303133 123.853676 \nL 152.059534 126.958532 \nL 155.603438 130.080622 \nL 158.910435 133.192887 \nL 161.96416 136.274809 \nL 164.755327 139.311281 \nL 167.280653 142.291545 \nL 169.541755 145.208186 \nL 171.5441 148.05628 \nL 173.296022 150.8327 \nL 174.80786 153.535559 \nL 176.091201 156.163753 \nL 177.158249 158.716659 \nL 178.021305 161.193884 \nL 178.692352 163.595077 \nL 179.182727 165.919821 \nL 179.502889 168.167525 \nL 179.662234 170.337334 \nL 179.66898 172.428096 \nL 179.530089 174.438281 \nL 179.251235 176.365923 \nL 178.836787 178.208553 \nL 178.28982 179.963146 \nL 177.612145 181.626019 \nL 176.804342 183.192756 \nL 175.865812 184.658065 \nL 174.794831 186.015711 \nL 173.588611 187.258327 \nL 172.243373 188.377282 \nL 170.754429 189.362521 \nL 169.116272 190.202357 \nL 167.322701 190.883273 \nL 165.366942 191.389718 \nL 163.241831 191.703875 \nL 160.940017 191.805468 \nL 158.454214 191.671563 \nL 155.777545 191.276431 \nL 152.903921 190.591461 \nL 149.828551 189.585215 \nL 146.548556 188.223622 \nL 143.063683 186.470413 \nL 139.377206 184.287871 \nL 135.496951 181.637982 \nL 131.436477 178.484113 \nL 127.216406 174.793273 \nL 122.865869 170.539136 \nL 118.424008 165.705766 \nL 113.941398 160.292145 \nL 109.481306 154.317243 \nL 105.120535 147.825417 \nL 100.949625 140.891543 \nL 97.072103 133.625107 \nL 93.602499 126.172292 \nL 90.662838 118.714898 \nL 88.377456 111.465064 \nL 86.866169 104.655081 \nL 86.23612 98.522341 \nL 86.572922 93.290476 \nL 87.932128 89.148959 \nL 90.332086 86.234096 \nL 93.7495 84.614963 \nL 98.118601 84.287117 \nL 103.334307 85.175432 \nL 109.259205 87.145704 \nL 115.733454 90.02244 \nL 122.586166 93.609538 \nL 129.646791 97.710006 \nL 136.755125 102.141943 \nL 143.768974 106.749184 \nL 150.569059 111.406515 \nL 157.061269 116.020114 \nL 163.176601 120.524835 \nL 168.869453 124.879604 \nL 174.114808 129.062153 \nL 178.904919 133.063972 \nL 183.245867 136.885931 \nL 187.154296 140.534756 \nL 190.654499 144.020393 \nL 193.775934 147.354147 \nL 196.551175 150.54745 \nL 199.014295 153.611111 \nL 201.199615 156.554915 \nL 203.140799 159.387424 \nL 206.418422 164.746734 \nL 209.08379 169.734244 \nL 212.370957 176.580294 \nL 215.288195 182.705925 \nL 217.243441 186.392886 \nL 219.331972 189.75118 \nL 221.648679 192.75892 \nL 222.920724 194.120808 \nL 224.283313 195.380368 \nL 225.747555 196.530299 \nL 227.324702 197.561829 \nL 229.026219 198.464516 \nL 230.863823 199.226001 \nL 232.849492 199.831736 \nL 234.995441 200.264687 \nL 237.314049 200.505018 \nL 239.817734 200.529768 \nL 242.518758 200.312508 \nL 245.428951 199.823063 \nL 248.559331 199.027241 \nL 251.919606 197.886705 \nL 255.517506 196.358997 \nL 259.357967 194.39783 \nL 263.442085 191.953737 \nL 267.765861 188.975246 \nL 272.318677 185.410706 \nL 277.081553 181.211017 \nL 282.02516 176.333367 \nL 287.10766 170.746185 \nL 292.272516 164.435345 \nL 297.446429 157.411572 \nL 302.537703 149.718581 \nL 307.435377 141.441374 \nL 312.009615 132.713397 \nL 316.113896 123.721061 \nL 319.589409 114.703552 \nL 322.272084 105.946026 \nL 324.002325 97.764812 \nL 324.636936 90.48432 \nL 324.062334 84.40741 \nL 322.20744 79.783011 \nL 319.054194 76.776753 \nL 314.643707 75.450621 \nL 309.0765 75.756541 \nL 302.50624 77.545886 \nL 295.127658 80.592663 \nL 287.160545 84.625336 \nL 278.832298 89.360254 \nL 270.361633 94.530511 \nL 261.945505 99.906167 \nL 245.907438 110.593155 \nL 231.629662 120.523545 \nL 219.508586 129.384898 \nL 214.271832 133.412718 \nL 209.55831 137.19221 \nL 205.335115 140.743539 \nL 201.562899 144.087367 \nL 198.198655 147.243218 \nL 195.197848 150.228559 \nL 190.10988 155.745178 \nL 185.961951 160.727382 \nL 176.377437 172.872066 \nL 173.416276 175.99578 \nL 171.885519 177.36984 \nL 170.299227 178.610277 \nL 168.64248 179.709075 \nL 166.901506 180.656785 \nL 165.063577 181.442401 \nL 163.116951 182.053267 \nL 161.05086 182.474977 \nL 158.85555 182.69128 \nL 156.52238 182.684008 \nL 154.043994 182.433099 \nL 151.414545 181.916619 \nL 148.630031 181.110932 \nL 145.688701 179.99101 \nL 142.591557 178.530887 \nL 139.342966 176.704373 \nL 135.95135 174.486046 \nL 132.430001 171.852571 \nL 128.797935 168.78444 \nL 125.080802 165.268094 \nL 121.311783 161.298472 \nL 117.532404 156.881967 \nL 113.793167 152.039564 \nL 110.153874 146.810058 \nL 106.683478 141.252936 \nL 103.459323 135.450485 \nL 100.565587 129.508652 \nL 98.090818 123.555984 \nL 96.124496 117.740178 \nL 94.752673 112.222012 \nL 94.05284 107.166562 \nL 94.088442 102.732318 \nL 94.903524 99.059329 \nL 96.518108 96.257633 \nL 98.92499 94.398033 \nL 102.088492 93.506385 \nL 105.945443 93.562712 \nL 110.408512 94.505099 \nL 115.371423 96.237826 \nL 120.715559 98.64219 \nL 126.317094 101.588258 \nL 132.053894 104.945775 \nL 137.811494 108.593096 \nL 143.487674 112.423207 \nL 148.995501 116.347054 \nL 154.2648 120.294263 \nL 159.242298 124.212163 \nL 163.890762 128.063559 \nL 168.187392 131.824031 \nL 172.121817 135.479119 \nL 175.693952 139.021741 \nL 178.911861 142.449991 \nL 181.789773 145.765382 \nL 184.346323 148.971494 \nL 186.603049 152.073026 \nL 188.58314 155.075122 \nL 190.310445 157.982953 \nL 191.808688 160.801448 \nL 193.100892 163.535161 \nL 194.208954 166.188238 \nL 195.953051 171.26698 \nL 197.185534 176.062959 \nL 198.024375 180.596596 \nL 198.562216 184.884809 \nL 198.869265 188.942084 \nL 199.004806 194.622494 \nL 198.84286 199.849467 \nL 198.43557 204.655609 \nL 197.792107 209.068436 \nL 197.220852 211.802739 \nL 196.519133 214.376456 \nL 195.665853 216.792047 \nL 194.633372 219.049231 \nL 193.386706 221.143979 \nL 191.882383 223.067007 \nL 190.066962 224.801567 \nL 187.875222 226.320235 \nL 186.614119 226.985999 \nL 185.228069 227.580201 \nL 183.704642 228.093973 \nL 182.030257 228.516486 \nL 180.190117 228.834561 \nL 178.16816 229.032206 \nL 175.947032 229.090082 \nL 173.508084 228.984868 \nL 170.831425 228.688552 \nL 167.896033 228.167605 \nL 164.679961 227.382081 \nL 161.160659 226.284652 \nL 157.315474 224.819605 \nL 153.122349 222.921904 \nL 148.560836 220.516408 \nL 143.613446 217.517452 \nL 138.267478 213.82903 \nL 132.517401 209.345991 \nL 126.367884 203.95671 \nL 119.837602 197.547918 \nL 112.963824 190.012385 \nL 105.807735 181.260294 \nL 98.460313 171.234878 \nL 91.04835 159.932606 \nL 83.739795 147.427128 \nL 76.747362 133.894883 \nL 70.32873 119.638067 \nL 64.781457 105.098419 \nL 60.430735 90.853386 \nL 57.608449 77.586251 \nL 56.623781 66.025099 \nL 57.72743 56.853305 \nL 61.074587 50.605244 \nL 66.694028 47.571131 \nL 74.471391 47.739394 \nL 84.15272 50.797263 \nL 95.369512 56.192486 \nL 107.680727 63.2381 \nL 120.622413 71.228612 \nL 146.695591 87.670815 \nL 159.144095 95.294653 \nL 170.882698 102.213018 \nL 181.773329 108.343383 \nL 191.744985 113.682177 \nL 200.779146 118.274705 \nL 208.895478 122.191939 \nL 216.139371 125.514413 \nL 228.262493 130.689583 \nL 237.704755 134.356549 \nL 245.018111 136.934158 \nL 250.68475 138.716812 \nL 255.098225 139.906587 \nL 258.566259 140.642779 \nL 261.321961 141.024082 \nL 263.537104 141.123859 \nL 265.334796 141.000216 \nL 266.800542 140.702499 \nL 267.991613 140.275337 \nL 268.944721 139.760864 \nL 269.974848 138.914051 \nL 270.560624 138.092676 \nL 270.728721 137.41446 \nL 270.623891 137.090348 \nL 270.360885 136.894151 \nL 269.957772 136.839858 \nL 269.140906 137.03643 \nL 268.15278 137.555013 \nL 267.098173 138.351566 \nL 266.084419 139.355474 \nL 265.211298 140.478771 \nL 264.562706 141.625087 \nL 264.200846 142.697414 \nL 264.163059 143.604186 \nL 264.324559 144.076131 \nL 264.632541 144.41764 \nL 265.078832 144.611769 \nL 265.650302 144.645811 \nL 266.329031 144.511991 \nL 267.497865 143.993665 \nL 268.763132 143.115006 \nL 270.014597 141.933118 \nL 271.132212 140.542617 \nL 271.996773 139.071378 \nL 272.50365 137.669376 \nL 272.604208 136.849821 \nL 272.499674 136.172254 \nL 272.188085 135.672598 \nL 271.678075 135.377898 \nL 270.988758 135.304549 \nL 270.148766 135.457441 \nL 269.194569 135.83007 \nL 267.642074 136.761622 \nL 266.080272 138.055694 \nL 264.658185 139.591618 \nL 263.506152 141.23489 \nL 262.725573 142.849049 \nL 262.446343 143.84426 \nL 262.374309 144.732549 \nL 262.514031 145.480815 \nL 262.86347 146.059271 \nL 263.414173 146.441966 \nL 264.151381 146.60753 \nL 265.054092 146.540111 \nL 266.095074 146.230483 \nL 267.240901 145.677397 \nL 268.452173 144.888919 \nL 269.683978 143.883796 \nL 270.886793 142.692381 \nL 272.007917 141.35702 \nL 272.993592 139.931504 \nL 273.791732 138.479319 \nL 274.355212 137.070627 \nL 274.645423 135.777947 \nL 274.635774 134.671039 \nL 274.314618 133.811426 \nL 273.687168 133.247403 \nL 272.776015 133.010242 \nL 271.620058 133.112216 \nL 270.271916 133.54653 \nL 268.794196 134.289216 \nL 267.25503 135.302293 \nL 265.723602 136.53762 \nL 264.266023 137.940835 \nL 262.942091 139.45479 \nL 261.803054 141.022219 \nL 260.890372 142.587571 \nL 260.23535 144.098048 \nL 259.859413 145.504151 \nL 259.774727 146.759772 \nL 259.984962 147.822221 \nL 260.485949 148.652312 \nL 261.266106 149.21467 \nL 262.306566 149.478404 \nL 263.581004 149.418292 \nL 265.055188 149.016439 \nL 266.686419 148.264584 \nL 268.423042 147.166726 \nL 270.204272 145.742063 \nL 271.960682 144.027699 \nL 273.615622 142.080575 \nL 275.087981 139.977953 \nL 276.296268 137.81568 \nL 277.164095 135.703693 \nL 277.626669 133.758696 \nL 277.63748 132.094558 \nL 277.465436 131.399987 \nL 277.174255 130.811645 \nL 276.76561 130.33835 \nL 276.243057 129.986972 \nL 275.611993 129.762287 \nL 274.879564 129.666927 \nL 274.05453 129.701363 \nL 272.168588 130.151322 \nL 270.048571 131.077354 \nL 267.799783 132.420533 \nL 265.529891 134.105888 \nL 263.341257 136.050303 \nL 261.32503 138.169075 \nL 259.557443 140.380566 \nL 258.098272 142.60877 \nL 256.99105 144.784194 \nL 256.264526 146.843639 \nL 255.934688 148.729241 \nL 256.006938 150.387329 \nL 256.193092 151.115165 \nL 256.477901 151.767379 \nL 256.859781 152.338034 \nL 257.336723 152.821335 \nL 257.90629 153.211652 \nL 258.565596 153.503516 \nL 259.311291 153.691697 \nL 260.13952 153.771232 \nL 261.045878 153.737523 \nL 263.072246 153.314309 \nL 265.341853 152.396446 \nL 267.793333 150.9721 \nL 270.35057 149.049029 \nL 272.921484 146.660935 \nL 275.398245 143.873628 \nL 277.659732 140.789348 \nL 279.576826 137.547562 \nL 281.021062 134.320157 \nL 281.528694 132.771723 \nL 281.876204 131.299911 \nL 282.05318 129.929132 \nL 282.051669 128.682594 \nL 281.866504 127.581591 \nL 281.495631 126.644819 \nL 280.94029 125.887777 \nL 280.205099 125.322301 \nL 279.298041 124.956242 \nL 278.23032 124.793345 \nL 277.01608 124.833283 \nL 275.672032 125.071887 \nL 274.217008 125.501485 \nL 272.671437 126.111411 \nL 271.056801 126.888533 \nL 267.708163 128.8832 \nL 264.343449 131.353743 \nL 261.12023 134.164326 \nL 258.171454 137.186784 \nL 255.600689 140.307106 \nL 253.481886 143.427317 \nL 251.862392 146.464234 \nL 250.767766 149.346558 \nL 250.420638 150.709852 \nL 250.207163 152.011358 \nL 250.126735 153.243968 \nL 250.178299 154.400683 \nL 250.360432 155.474557 \nL 250.671433 156.458616 \nL 251.109356 157.34582 \nL 251.672047 158.129 \nL 252.357151 158.800859 \nL 253.162081 159.353928 \nL 254.083993 159.780595 \nL 255.11971 160.073142 \nL 256.265652 160.22377 \nL 257.517717 160.224709 \nL 258.871172 160.068332 \nL 260.32051 159.747296 \nL 261.85929 159.254749 \nL 263.479976 158.584582 \nL 265.173755 157.731719 \nL 266.930372 156.692452 \nL 268.737941 155.464858 \nL 270.582801 154.049219 \nL 272.449372 152.448518 \nL 274.320068 150.668905 \nL 276.175251 148.7202 \nL 277.993276 146.616356 \nL 279.750581 144.375796 \nL 281.421938 142.02171 \nL 282.980779 139.582099 \nL 284.399667 137.089681 \nL 285.65091 134.581473 \nL 286.707287 132.098113 \nL 287.542887 129.68288 \nL 288.134046 127.380396 \nL 288.460304 125.235127 \nL 288.505378 123.289695 \nL 288.257996 121.58314 \nL 287.712681 120.149267 \nL 286.870245 119.015204 \nL 285.738058 118.200297 \nL 284.330039 117.715415 \nL 282.666317 117.562822 \nL 280.772599 117.736452 \nL 278.679299 118.222736 \nL 276.420448 119.00172 \nL 274.032508 120.048464 \nL 271.553126 121.334547 \nL 269.019925 122.829541 \nL 266.469412 124.502378 \nL 263.936041 126.322484 \nL 261.451453 128.260722 \nL 259.043965 130.290012 \nL 256.738219 132.38573 \nL 254.55506 134.525889 \nL 252.511557 136.691153 \nL 250.621179 138.864697 \nL 248.894056 141.031994 \nL 247.337323 143.180553 \nL 245.955499 145.299615 \nL 244.750903 147.379858 \nL 243.724035 149.413113 \nL 242.873969 151.392127 \nL 242.198705 153.310284 \nL 241.695483 155.161433 \nL 241.361061 156.939687 \nL 241.19196 158.639269 \nL 241.184644 160.25436 \nL 241.335684 161.778996 \nL 241.641883 163.206922 \nL 242.100332 164.531525 \nL 242.708478 165.745712 \nL 243.464132 166.841828 \nL 244.365451 167.811609 \nL 245.410891 168.646075 \nL 246.599144 169.335502 \nL 247.929026 169.869379 \nL 249.399353 170.236395 \nL 251.008764 170.42444 \nL 252.755551 170.420654 \nL 254.63741 170.211555 \nL 256.651186 169.783171 \nL 258.792577 169.121293 \nL 261.055789 168.211795 \nL 263.433177 167.041118 \nL 265.914833 165.596794 \nL 268.48816 163.868194 \nL 271.137447 161.847397 \nL 273.84344 159.530216 \nL 276.582933 156.917351 \nL 279.32846 154.015681 \nL 282.048041 150.839553 \nL 284.705147 147.412106 \nL 287.258822 143.766366 \nL 289.664082 139.946115 \nL 291.872661 136.006195 \nL 293.834074 132.012246 \nL 295.497093 128.039557 \nL 296.811588 124.171029 \nL 297.730649 120.494177 \nL 298.212957 117.097269 \nL 298.225204 114.064813 \nL 297.744363 111.472806 \nL 296.759621 109.384206 \nL 295.273748 107.845069 \nL 293.303694 106.881919 \nL 290.880374 106.500634 \nL 288.047499 106.686995 \nL 284.859672 107.408824 \nL 281.37979 108.619294 \nL 277.676067 110.261139 \nL 273.818915 112.271042 \nL 269.877963 114.583839 \nL 265.919416 117.13613 \nL 262.003922 119.868981 \nL 258.185038 122.729781 \nL 254.508295 125.673183 \nL 251.010823 128.661352 \nL 247.721446 131.663637 \nL 244.66116 134.655864 \nL 241.843857 137.619475 \nL 239.277224 140.540575 \nL 236.963707 143.40898 \nL 234.901499 146.217409 \nL 233.085466 148.960744 \nL 231.508012 151.635431 \nL 230.159847 154.23899 \nL 229.030647 156.769654 \nL 228.109615 159.226064 \nL 227.385933 161.607058 \nL 226.84914 163.911491 \nL 226.489408 166.138123 \nL 226.297767 168.285511 \nL 226.266248 170.35192 \nL 226.388003 172.335248 \nL 226.657356 174.23295 \nL 227.069851 176.041981 \nL 227.622242 177.758687 \nL 228.312491 179.378743 \nL 229.139728 180.897022 \nL 230.104214 182.307525 \nL 231.207276 183.603221 \nL 232.451244 184.775932 \nL 233.839365 185.816165 \nL 235.37571 186.712956 \nL 237.065053 187.453703 \nL 238.912738 188.023964 \nL 240.924511 188.407309 \nL 243.106315 188.585108 \nL 245.464039 188.536412 \nL 248.003219 188.237823 \nL 250.728657 187.663477 \nL 253.643967 186.785091 \nL 256.751022 185.572177 \nL 260.049296 183.992436 \nL 263.535079 182.012465 \nL 267.200582 179.598771 \nL 271.032876 176.719223 \nL 275.012755 173.345036 \nL 279.113505 169.453326 \nL 283.29961 165.030292 \nL 287.525523 160.075014 \nL 291.734635 154.603716 \nL 295.858517 148.654277 \nL 299.816752 142.29058 \nL 303.517513 135.606017 \nL 306.859191 128.725446 \nL 309.733222 121.804681 \nL 312.028335 115.026647 \nL 313.636173 108.593591 \nL 314.458052 102.715348 \nL 314.412431 97.59419 \nL 313.442314 93.407915 \nL 311.521694 90.293463 \nL 308.660044 88.333719 \nL 304.903969 87.54994 \nL 300.335662 87.901387 \nL 295.068011 89.292289 \nL 289.237029 91.58475 \nL 282.99253 94.615104 \nL 276.488343 98.210901 \nL 269.873135 102.205772 \nL 263.282903 106.450527 \nL 256.835604 110.819882 \nL 250.628044 115.21494 \nL 244.734894 119.56248 \nL 239.209373 123.812054 \nL 234.085129 127.931978 \nL 229.378818 131.905095 \nL 225.093021 135.724807 \nL 221.219146 139.391713 \nL 217.740138 142.910922 \nL 214.632897 146.290057 \nL 211.870311 149.537859 \nL 209.422934 152.663222 \nL 207.260318 155.67465 \nL 205.352024 158.579925 \nL 203.668379 161.385979 \nL 200.86314 166.723833 \nL 198.638261 171.727082 \nL 196.817485 176.423848 \nL 190.993145 192.455196 \nL 189.426202 195.802942 \nL 187.66367 198.878199 \nL 185.636232 201.663352 \nL 184.500868 202.938566 \nL 183.271888 204.129191 \nL 181.93936 205.229088 \nL 180.492827 206.230792 \nL 178.921242 207.125289 \nL 177.212919 207.901762 \nL 175.355512 208.547285 \nL 173.335997 209.046488 \nL 171.140709 209.381183 \nL 168.755404 209.529926 \nL 166.165374 209.467575 \nL 163.355643 209.164795 \nL 160.311237 208.587583 \nL 157.017569 207.696789 \nL 153.460973 206.447757 \nL 149.629416 204.79007 \nL 145.513413 202.66759 \nL 141.10721 200.018875 \nL 136.410274 196.778183 \nL 131.429117 192.877287 \nL 126.179505 188.248401 \nL 120.68902 182.828509 \nL 114.999959 176.565383 \nL 109.172457 169.425547 \nL 103.287575 161.404196 \nL 97.450076 152.536777 \nL 91.790361 142.911349 \nL 86.464856 132.68026 \nL 81.654122 122.068629 \nL 77.55783 111.376643 \nL 74.385909 100.972282 \nL 72.345605 91.271584 \nL 71.624905 82.705701 \nL 72.37364 75.676886 \nL 74.684784 70.509535 \nL 78.57913 67.405918 \nL 83.996581 66.41686 \nL 90.796651 67.435722 \nL 98.768851 70.217953 \nL 107.651626 74.421607 \nL 117.156512 79.658582 \nL 126.993209 85.544686 \nL 136.891597 91.73871 \nL 155.98384 104.024853 \nL 187.706303 124.745289 \nL 199.673912 132.810012 \nL 209.277568 139.612869 \nL 216.91435 145.408877 \nL 223.015838 150.397515 \nL 230.166158 156.642636 \nL 235.917182 161.582466 \nL 239.411489 164.170235 \nL 241.132932 165.244809 \nL 242.864369 166.166423 \nL 244.622944 166.928463 \nL 246.423442 167.523171 \nL 248.278409 167.941737 \nL 250.198233 168.174403 \nL 252.19119 168.210565 \nL 254.26342 168.038951 \nL 256.418884 167.647831 \nL 258.659234 167.025276 \nL 260.983666 166.159527 \nL 263.388707 165.03947 \nL 265.867982 163.655181 \nL 268.41192 161.998631 \nL 271.007484 160.064503 \nL 273.637889 157.85115 \nL 276.282325 155.36162 \nL 278.91578 152.604819 \nL 281.508938 149.596613 \nL 284.028225 146.360936 \nL 286.436039 142.930678 \nL 288.691232 139.348288 \nL 290.749856 135.665933 \nL 292.566237 131.945059 \nL 294.094355 128.255261 \nL 295.289505 124.672317 \nL 296.110274 121.275468 \nL 296.520585 118.144012 \nL 296.491809 115.353365 \nL 296.004726 112.971013 \nL 295.051128 111.052659 \nL 293.634957 109.639028 \nL 291.772748 108.753686 \nL 289.493363 108.402154 \nL 286.836983 108.572383 \nL 283.853389 109.236586 \nL 280.599711 110.354021 \nL 277.13786 111.87453 \nL 273.531807 113.742264 \nL 269.844989 115.899291 \nL 266.137993 118.288667 \nL 262.466659 120.856937 \nL 258.880676 123.555753 \nL 255.422717 126.342872 \nL 252.128019 129.182455 \nL 249.024426 132.044922 \nL 246.132723 134.906439 \nL 243.467242 137.748236 \nL 241.03661 140.555794 \nL 238.844588 143.318081 \nL 236.890932 146.026827 \nL 235.172224 148.675853 \nL 233.682653 151.260537 \nL 232.414705 153.777376 \nL 231.359789 156.223592 \nL 230.508751 158.59687 \nL 229.852316 160.895124 \nL 229.381437 163.116331 \nL 229.087578 165.258361 \nL 228.962921 167.3189 \nL 229.000533 169.295316 \nL 229.194468 171.1846 \nL 229.53984 172.983259 \nL 230.032855 174.687233 \nL 230.670824 176.291797 \nL 231.452144 177.791473 \nL 232.37627 179.179906 \nL 233.443657 180.449754 \nL 234.655695 181.592566 \nL 236.014623 182.598637 \nL 237.523428 183.456866 \nL 239.185715 184.154598 \nL 241.005558 184.677496 \nL 242.987319 185.009367 \nL 245.13543 185.132061 \nL 247.454123 185.025388 \nL 249.947112 184.667063 \nL 252.617206 184.03275 \nL 255.46585 183.096234 \nL 258.492566 181.829727 \nL 261.694321 180.204373 \nL 265.064763 178.191044 \nL 268.593391 175.761474 \nL 272.264584 172.889719 \nL 276.056588 169.554163 \nL 279.940456 165.739962 \nL 283.878988 161.441981 \nL 287.825797 156.668177 \nL 291.724579 151.44325 \nL 295.508778 145.812293 \nL 299.101762 139.844031 \nL 302.417789 133.633097 \nL 305.363877 127.300707 \nL 307.842748 120.993029 \nL 309.75691 114.876652 \nL 311.01381 109.13087 \nL 311.531743 103.936944 \nL 311.24613 99.465154 \nL 310.115453 95.86095 \nL 308.126139 93.232252 \nL 305.295611 91.639813 \nL 301.672971 91.092486 \nL 297.336955 91.548179 \nL 292.391349 92.920401 \nL 286.95837 95.089254 \nL 281.170788 97.91467 \nL 275.163844 101.249953 \nL 269.067753 104.953516 \nL 263.001604 108.8977 \nL 257.068964 112.97414 \nL 251.355341 117.095919 \nL 245.92732 121.19719 \nL 240.833073 125.231042 \nL 236.103859 129.166442 \nL 231.756132 132.984915 \nL 227.793942 136.67737 \nL 224.211373 140.241312 \nL 220.994864 143.678636 \nL 218.125274 146.99389 \nL 215.579685 150.193021 \nL 213.332889 153.282531 \nL 211.358589 156.268913 \nL 209.630337 159.158338 \nL 208.12224 161.956462 \nL 206.809474 164.66837 \nL 204.677914 169.851119 \nL 203.068506 174.736767 \nL 201.84199 179.34899 \nL 200.480018 185.79523 \nL 198.832338 195.39959 \nL 197.59684 202.158048 \nL 196.519911 206.731131 \nL 195.669556 209.55392 \nL 194.674292 212.19858 \nL 193.496979 214.663714 \nL 192.095091 216.943358 \nL 190.418803 219.025221 \nL 188.408977 220.888089 \nL 187.257439 221.727438 \nL 185.995032 222.49807 \nL 184.61078 223.19288 \nL 183.092711 223.803174 \nL 181.427794 224.31836 \nL 179.601885 224.725587 \nL 177.599686 225.009312 \nL 175.404722 225.150805 \nL 172.999359 225.127563 \nL 170.364856 224.912658 \nL 167.481484 224.473999 \nL 164.328745 223.773511 \nL 160.885684 222.766274 \nL 157.131378 221.399661 \nL 153.045627 219.612525 \nL 148.609897 217.334564 \nL 143.808604 214.486025 \nL 138.630827 210.978005 \nL 133.072521 206.713649 \nL 127.139292 201.59073 \nL 120.84989 195.506135 \nL 114.240347 188.362893 \nL 107.368768 180.080431 \nL 100.320583 170.608554 \nL 93.213862 159.945278 \nL 86.204042 148.157877 \nL 79.487017 135.405309 \nL 73.299336 121.95835 \nL 67.91374 108.211982 \nL 63.628462 94.682916 \nL 60.749114 81.985154 \nL 59.563079 70.779088 \nL 60.30814 61.695682 \nL 63.139609 55.246289 \nL 68.101942 51.737462 \nL 75.111777 51.214231 \nL 83.958009 53.450877 \nL 94.320629 57.994597 \nL 105.805373 64.24999 \nL 117.986862 71.57958 \nL 154.823885 94.680164 \nL 166.20719 101.585507 \nL 176.829885 107.815624 \nL 186.606521 113.340284 \nL 195.504298 118.181985 \nL 210.719023 126.041156 \nL 222.808546 131.920621 \nL 236.224639 138.087318 \nL 245.541875 142.082916 \nL 250.20436 143.88618 \nL 254.016302 145.13952 \nL 257.223825 145.913719 \nL 260.007184 146.255331 \nL 262.491631 146.198226 \nL 264.757269 145.771936 \nL 266.847496 145.007794 \nL 268.776261 143.943584 \nL 270.53444 142.626919 \nL 272.095754 141.117134 \nL 273.422563 139.485705 \nL 274.471794 137.814731 \nL 275.201016 136.193479 \nL 275.574428 134.71308 \nL 275.568453 133.459945 \nL 275.420319 132.942593 \nL 275.176277 132.508792 \nL 274.838578 132.16501 \nL 274.41077 131.916297 \nL 273.897673 131.766182 \nL 272.640855 131.768105 \nL 271.128968 132.168394 \nL 269.436145 132.942311 \nL 267.644296 134.046869 \nL 265.837348 135.426047 \nL 264.095875 137.016034 \nL 262.492842 138.74988 \nL 261.090685 140.561031 \nL 259.939804 142.385606 \nL 259.078238 144.163578 \nL 258.532219 145.839132 \nL 258.317245 147.360513 \nL 258.43928 148.679681 \nL 258.895834 149.751982 \nL 259.676728 150.536094 \nL 260.764379 150.994384 \nL 262.133644 151.093914 \nL 263.751168 150.808083 \nL 265.574469 150.119083 \nL 267.550861 149.021122 \nL 269.616586 147.524231 \nL 271.696491 145.658316 \nL 273.704725 143.476783 \nL 275.546919 141.058859 \nL 277.124235 138.509439 \nL 278.339438 135.955559 \nL 279.104715 133.538754 \nL 279.295953 132.427189 \nL 279.350578 131.403585 \nL 279.264208 130.484175 \nL 279.034591 129.683589 \nL 278.661779 129.014456 \nL 278.1482 128.487047 \nL 277.498684 128.109052 \nL 276.720374 127.885384 \nL 275.822617 127.818153 \nL 274.816741 127.906711 \nL 273.715803 128.147794 \nL 272.534254 128.535761 \nL 269.992109 129.719751 \nL 267.320593 131.378292 \nL 264.649861 133.414812 \nL 262.100337 135.726994 \nL 259.775901 138.214772 \nL 257.760229 140.785187 \nL 256.115981 143.354559 \nL 254.886187 145.848497 \nL 254.096929 148.200635 \nL 253.760556 150.350758 \nL 253.76307 151.33245 \nL 253.878749 152.24287 \nL 254.106545 153.075397 \nL 254.445006 153.823492 \nL 254.892303 154.480671 \nL 255.446242 155.040499 \nL 256.104256 155.496594 \nL 256.863387 155.842648 \nL 257.720243 156.07246 \nL 258.670949 156.180005 \nL 259.711075 156.159506 \nL 260.835565 156.005546 \nL 262.038636 155.713212 \nL 263.313685 155.278223 \nL 264.653186 154.69717 \nL 267.490245 153.088761 \nL 270.467367 150.886609 \nL 273.481705 148.119383 \nL 276.409089 144.85497 \nL 279.105915 141.207957 \nL 280.319 139.290483 \nL 281.414896 137.34282 \nL 282.373507 135.392637 \nL 283.175445 133.469644 \nL 283.802584 131.604942 \nL 284.238664 129.830167 \nL 284.469895 128.176547 \nL 284.485534 126.673862 \nL 284.278398 125.34943 \nL 283.845318 124.227117 \nL 283.187404 123.326463 \nL 282.31021 122.662055 \nL 281.22371 122.243062 \nL 279.942086 122.073089 \nL 278.483351 122.1503 \nL 276.868827 122.467772 \nL 275.122503 123.014083 \nL 273.270282 123.774064 \nL 271.339237 124.729643 \nL 269.356831 125.860707 \nL 267.35019 127.145953 \nL 263.367293 130.09226 \nL 259.579036 133.400269 \nL 256.138696 136.91847 \nL 253.159923 140.518487 \nL 250.718346 144.09528 \nL 248.857132 147.563631 \nL 248.150594 149.234699 \nL 247.594423 150.853122 \nL 247.188226 152.411561 \nL 246.930955 153.902984 \nL 246.821086 155.320528 \nL 246.856755 156.65741 \nL 247.035893 157.906793 \nL 247.356309 159.061723 \nL 247.815758 160.115046 \nL 248.411967 161.059329 \nL 249.142656 161.886831 \nL 250.00551 162.58946 \nL 250.998138 163.158738 \nL 252.117997 163.585823 \nL 253.362294 163.861529 \nL 254.727871 163.97638 \nL 256.21106 163.920693 \nL 257.807495 163.684738 \nL 259.511933 163.2589 \nL 261.318036 162.633935 \nL 263.218122 161.801272 \nL 265.20293 160.753418 \nL 267.261354 159.484399 \nL 269.380194 157.990319 \nL 271.543892 156.269964 \nL 273.734352 154.325506 \nL 275.930735 152.163207 \nL 278.109377 149.794168 \nL 280.243789 147.235007 \nL 282.304767 144.508488 \nL 284.260678 141.643937 \nL 286.077889 138.677438 \nL 287.721418 135.651672 \nL 289.155776 132.615362 \nL 290.346017 129.622281 \nL 291.258939 126.72972 \nL 291.864449 123.996553 \nL 292.136941 121.480893 \nL 292.056687 119.237556 \nL 291.611055 117.315451 \nL 290.795514 115.755175 \nL 289.614307 114.587035 \nL 288.080657 113.829712 \nL 286.216559 113.489612 \nL 284.052076 113.561115 \nL 281.624217 114.027592 \nL 278.975485 114.863014 \nL 276.15217 116.034025 \nL 273.202542 117.502308 \nL 270.175105 119.226798 \nL 267.116952 121.165847 \nL 264.072401 123.278962 \nL 261.081892 125.528136 \nL 258.181218 127.87877 \nL 255.401083 130.300163 \nL 252.766932 132.765691 \nL 250.299031 135.252699 \nL 248.01276 137.742195 \nL 245.919034 140.218471 \nL 244.024824 142.668618 \nL 242.333714 145.082065 \nL 240.846494 147.45013 \nL 239.561718 149.765611 \nL 238.476244 152.022424 \nL 237.585703 154.215287 \nL 236.884941 156.33945 \nL 236.368375 158.390496 \nL 236.03031 160.364135 \nL 235.865193 162.256042 \nL 235.867803 164.061733 \nL 236.033416 165.776448 \nL 236.357912 167.395008 \nL 236.837843 168.911741 \nL 237.470469 170.320364 \nL 238.253777 171.613898 \nL 239.186444 172.784558 \nL 240.267793 173.823646 \nL 241.497725 174.721472 \nL 242.876609 175.467251 \nL 244.40516 176.049039 \nL 246.084281 176.453635 \nL 247.914872 176.666579 \nL 249.897596 176.672116 \nL 252.032619 176.45325 \nL 254.319286 175.991875 \nL 256.755757 175.268953 \nL 259.338593 174.264856 \nL 262.062261 172.95982 \nL 264.918613 171.334612 \nL 267.896276 169.371356 \nL 270.980035 167.054661 \nL 274.150179 164.372977 \nL 277.381835 161.320201 \nL 280.644355 157.897573 \nL 283.900847 154.115706 \nL 287.1078 149.99673 \nL 290.21504 145.576346 \nL 293.16603 140.905523 \nL 295.898592 136.051636 \nL 298.346222 131.098647 \nL 300.439989 126.146 \nL 302.11108 121.305999 \nL 303.293931 116.699526 \nL 303.929764 112.450123 \nL 303.970372 108.676835 \nL 303.38173 105.486488 \nL 302.147171 102.966069 \nL 300.269618 101.176485 \nL 297.772598 100.148309 \nL 294.699857 99.880379 \nL 291.113434 100.341284 \nL 287.090466 101.473638 \nL 282.71895 103.200333 \nL 278.092975 105.431887 \nL 273.307891 108.073778 \nL 268.455846 111.033006 \nL 263.622079 114.223199 \nL 258.882143 117.568035 \nL 254.300163 121.003104 \nL 249.928044 124.476231 \nL 245.805506 127.946898 \nL 241.960754 131.384923 \nL 238.411589 134.768826 \nL 235.166789 138.084123 \nL 232.22761 141.321747 \nL 229.589253 144.476607 \nL 227.242284 147.546438 \nL 225.17389 150.530881 \nL 223.368986 153.430782 \nL 221.811149 156.247671 \nL 220.483387 158.983427 \nL 219.368749 161.640015 \nL 218.450802 164.21935 \nL 217.713993 166.723184 \nL 217.143897 169.153054 \nL 216.727396 171.510259 \nL 216.452786 173.795841 \nL 216.309833 176.010571 \nL 216.289786 178.154934 \nL 216.385371 180.229128 \nL 216.590754 182.23304 \nL 216.901501 184.166219 \nL 217.31452 186.027844 \nL 217.828013 187.816685 \nL 218.441418 189.531024 \nL 219.155361 191.168613 \nL 219.971606 192.726587 \nL 220.893012 194.201364 \nL 221.923501 195.588532 \nL 223.068018 196.882711 \nL 224.332502 198.077404 \nL 225.723858 199.164816 \nL 227.249915 200.135652 \nL 228.919395 200.978868 \nL 230.74185 201.681424 \nL 232.727599 202.227978 \nL 234.887626 202.60056 \nL 237.233451 202.778236 \nL 239.776937 202.736721 \nL 242.53005 202.448044 \nL 245.504536 201.880176 \nL 248.711471 200.996765 \nL 252.160708 199.756961 \nL 255.860151 198.115419 \nL 259.814851 196.022598 \nL 264.025862 193.425443 \nL 268.488864 190.26866 \nL 273.192516 186.496705 \nL 278.116515 182.056779 \nL 283.229426 176.902945 \nL 288.486318 171.001639 \nL 293.826351 164.338576 \nL 299.17053 156.926929 \nL 304.419891 148.816457 \nL 309.454659 140.102587 \nL 314.134749 130.934237 \nL 318.302342 121.518379 \nL 321.786978 112.11915 \nL 324.413613 103.049261 \nL 326.013602 94.65224 \nL 326.438107 87.275482 \nL 325.572672 81.236392 \nL 323.351112 76.786528 \nL 319.76637 74.080278 \nL 314.876086 73.155152 \nL 308.801358 73.928762 \nL 301.718274 76.213447 \nL 293.84336 79.745534 \nL 285.415236 84.222143 \nL 276.675538 89.337833 \nL 267.851817 94.814249 \nL 250.718894 105.974925 \nL 235.182354 116.488265 \nL 221.82657 125.863783 \nL 210.773129 134.054294 \nL 206.063141 137.747236 \nL 201.849704 141.202855 \nL 198.08916 144.444154 \nL 194.735061 147.492128 \nL 189.058089 153.078336 \nL 184.455445 158.072938 \nL 174.052353 170.027073 \nL 170.932183 173.026333 \nL 169.335511 174.327096 \nL 167.691104 175.486665 \nL 165.983478 176.49688 \nL 164.198597 177.34817 \nL 162.323777 178.02948 \nL 160.347625 178.528221 \nL 158.260041 178.830219 \nL 156.052257 178.919709 \nL 153.716962 178.779344 \nL 151.248454 178.390266 \nL 148.642908 177.732284 \nL 145.898691 176.784172 \nL 143.016763 175.524074 \nL 140.001162 173.930123 \nL 136.859578 171.981307 \nL 133.603982 169.658554 \nL 130.251316 166.94616 \nL 126.824208 163.833519 \nL 123.351687 160.317164 \nL 119.869798 156.403083 \nL 116.422083 152.10923 \nL 113.059835 147.468014 \nL 109.841944 142.528586 \nL 106.834315 137.358543 \nL 104.108625 132.044682 \nL 101.740441 126.692387 \nL 99.806538 121.423285 \nL 98.381496 116.370877 \nL 97.533736 111.674155 \nL 97.321128 107.469509 \nL 97.786649 103.881625 \nL 98.954491 101.014288 \nL 100.82706 98.942368 \nL 103.383393 97.706195 \nL 106.57924 97.309136 \nL 110.348903 97.718892 \nL 114.60879 98.87213 \nL 119.262163 100.681811 \nL 124.204696 103.04598 \nL 129.330166 105.856597 \nL 134.535698 109.0075 \nL 139.726164 112.400615 \nL 144.817471 115.949996 \nL 149.738601 119.583902 \nL 154.432501 123.245159 \nL 158.856017 126.890259 \nL 162.979058 130.487662 \nL 166.783261 134.015775 \nL 170.260359 137.460849 \nL 173.410441 140.815068 \nL 176.240245 144.074892 \nL 178.761548 147.239698 \nL 180.989745 150.310768 \nL 182.942616 153.290486 \nL 184.639292 156.181816 \nL 186.099432 158.987938 \nL 187.342553 161.711996 \nL 188.387539 164.356972 \nL 189.252267 166.92561 \nL 189.953353 169.420386 \nL 190.505986 171.843496 \nL 191.219013 176.482226 \nL 191.482026 180.854323 \nL 191.361483 184.968702 \nL 190.901386 188.830771 \nL 190.125503 192.442127 \nL 189.039483 195.799857 \nL 187.632561 198.895224 \nL 186.801209 200.33974 \nL 185.878728 201.711737 \nL 184.859589 203.007488 \nL 183.737357 204.222372 \nL 182.504699 205.350723 \nL 181.153368 206.385649 \nL 179.674208 207.31882 \nL 178.057145 208.140225 \nL 176.2912 208.837889 \nL 174.364503 209.397546 \nL 172.264346 209.802282 \nL 169.977245 210.032111 \nL 167.489059 210.063535 \nL 164.785165 209.869056 \nL 161.850703 209.416687 \nL 158.670921 208.669446 \nL 155.231648 207.58493 \nL 151.51992 206.114972 \nL 147.52482 204.20553 \nL 143.238534 201.796873 \nL 138.657721 198.824281 \nL 133.785179 195.21944 \nL 128.631926 190.91283 \nL 123.219606 185.837364 \nL 117.583305 179.933649 \nL 111.774634 173.157128 \nL 105.86493 165.487216 \nL 99.948326 156.938379 \nL 94.144194 147.572551 \nL 88.598417 137.511631 \nL 83.482699 126.948098 \nL 78.991092 116.150849 \nL 75.332886 105.462802 \nL 72.721446 95.287066 \nL 71.358864 86.059509 \nL 71.417614 78.208482 \nL 73.020957 72.106058 \nL 76.225305 68.019142 \nL 81.007789 66.071172 \nL 87.26227 66.224465 \nL 94.80538 68.288491 \nL 103.392257 71.952833 \nL 112.739286 76.83631 \nL 122.549867 82.540257 \nL 132.53869 88.694462 \nL 152.075536 101.185218 \nL 185.136153 122.65005 \nL 197.750397 131.019813 \nL 207.906475 138.048679 \nL 215.986893 144.004739 \nL 222.426818 149.106091 \nL 229.91438 155.466755 \nL 235.841157 160.492024 \nL 239.384472 163.132925 \nL 241.113942 164.235064 \nL 242.843853 165.185748 \nL 244.592265 165.978942 \nL 246.374762 166.607487 \nL 248.20459 167.06318 \nL 250.092762 167.336861 \nL 252.048106 167.418575 \nL 254.077288 167.297692 \nL 256.184761 166.96313 \nL 258.372692 166.403618 \nL 260.640814 165.608013 \nL 262.986257 164.565764 \nL 265.403328 163.267411 \nL 267.883265 161.705255 \nL 270.413978 159.874092 \nL 272.97979 157.772119 \nL 275.561196 155.401892 \nL 278.134686 152.771399 \nL 280.672649 149.895099 \nL 283.143397 146.794951 \nL 285.511388 143.501281 \nL 287.737635 140.053378 \nL 289.78039 136.499724 \nL 291.596105 132.897656 \nL 293.140698 129.312387 \nL 294.371074 125.815351 \nL 295.246942 122.481743 \nL 295.73273 119.387457 \nL 295.799574 116.6055 \nL 295.427191 114.202178 \nL 294.605475 112.233496 \nL 293.335638 110.741919 \nL 291.630811 109.754194 \nL 289.515933 109.280181 \nL 287.026947 109.312942 \nL 284.209363 109.830157 \nL 281.116251 110.796521 \nL 277.805904 112.166829 \nL 274.339269 113.88944 \nL 270.777504 115.909664 \nL 267.179671 118.172877 \nL 263.600856 120.62692 \nL 260.090696 123.223951 \nL 256.692397 125.921555 \nL 253.442222 128.683218 \nL 250.369366 131.478369 \nL 247.496209 134.282004 \nL 244.83878 137.074104 \nL 242.407445 139.838929 \nL 240.207644 142.564312 \nL 238.240722 145.240938 \nL 236.504713 147.861707 \nL 234.9951 150.421192 \nL 233.705504 152.915199 \nL 232.628298 155.340352 \nL 231.755134 157.693832 \nL 231.077393 159.9731 \nL 230.58655 162.17573 \nL 230.274466 164.299261 \nL 230.133617 166.341053 \nL 230.157262 168.298183 \nL 230.33957 170.167361 \nL 230.675691 171.94482 \nL 231.161812 173.626236 \nL 231.795164 175.206627 \nL 232.574016 176.680242 \nL 233.497642 178.040485 \nL 234.566274 179.27976 \nL 235.781029 180.389368 \nL 237.143826 181.359371 \nL 238.657271 182.178465 \nL 240.324533 182.833815 \nL 242.149178 183.310947 \nL 244.134986 183.593617 \nL 246.285711 183.66371 \nL 248.604815 183.501188 \nL 251.095127 183.084083 \nL 253.758446 182.388607 \nL 256.595079 181.389338 \nL 259.603272 180.059616 \nL 262.778573 178.372117 \nL 266.113083 176.299718 \nL 269.594638 173.816665 \nL 273.205875 170.900162 \nL 276.923282 167.532349 \nL 280.716189 163.70275 \nL 284.545861 159.411144 \nL 288.364663 154.670775 \nL 292.115548 149.511746 \nL 295.731879 143.98424 \nL 299.137875 138.161239 \nL 302.249787 132.140179 \nL 304.977936 126.042865 \nL 307.229826 120.013191 \nL 308.91423 114.21209 \nL 309.946178 108.809603 \nL 310.252591 103.974421 \nL 309.778007 99.861632 \nL 308.48988 96.600278 \nL 306.382659 94.282268 \nL 303.480096 92.954546 \nL 299.835257 92.615917 \nL 295.52809 93.219041 \nL 290.660753 94.677293 \nL 285.351221 96.875215 \nL 279.725923 99.680756 \nL 273.912342 102.957354 \nL 268.032303 106.57429 \nL 262.196544 110.414244 \nL 256.500941 114.377825 \nL 251.024352 118.385274 \nL 245.827976 122.375993 \nL 240.955934 126.306522 \nL 236.436699 130.147802 \nL 232.285077 133.882168 \nL 228.504429 137.500514 \nL 225.088921 140.999814 \nL 222.025659 144.38112 \nL 219.296599 147.647993 \nL 216.880213 150.805391 \nL 214.752861 153.858867 \nL 212.889915 156.814062 \nL 211.26663 159.676391 \nL 209.858809 162.45088 \nL 208.643284 165.142101 \nL 207.598245 167.754137 \nL 205.940331 172.754857 \nL 204.743438 177.477778 \nL 203.892743 181.942902 \nL 203.298053 186.166928 \nL 202.739933 192.082144 \nL 202.443423 197.529867 \nL 202.287079 204.130968 \nL 202.334153 212.771294 \nL 202.605892 220.101726 \nL 203.024788 225.351377 \nL 203.544938 229.057379 \nL 204.091477 231.575038 \nL 204.823882 233.882346 \nL 205.446818 235.307576 \nL 206.205946 236.643087 \nL 207.132038 237.887067 \nL 208.262969 239.034595 \nL 209.645332 240.07619 \nL 211.336397 240.995655 \nL 213.406452 241.766841 \nL 215.941534 242.348761 \nL 219.046528 242.678355 \nL 222.848453 242.659742 \nL 225.057284 242.4772 \nL 227.499538 242.148572 \nL 230.198513 241.644574 \nL 233.179197 240.929638 \nL 236.468133 239.960735 \nL 240.093168 238.68604 \nL 244.083008 237.043493 \nL 248.466552 234.959302 \nL 253.271895 232.34652 \nL 258.524899 229.103886 \nL 264.247215 225.11522 \nL 270.453572 220.24988 \nL 277.148241 214.36489 \nL 284.320398 207.309673 \nL 291.938365 198.934487 \nL 299.942605 189.103896 \nL 308.237634 177.716561 \nL 316.683322 164.732191 \nL 325.08641 150.205428 \nL 333.193852 134.324292 \nL 340.690172 117.447502 \nL 347.201882 100.130775 \nL 352.31215 83.128428 \nL 355.588339 67.355093 \nL 356.623256 53.797249 \nL 355.086882 43.376721 \nL 350.7809 36.788732 \nL 343.683969 34.356564 \nL 333.974265 35.952215 \nL 322.019557 41.017269 \nL 308.334053 48.682618 \nL 293.511489 57.946934 \nL 278.151325 67.854741 \nL 262.79533 77.624327 \nL 247.885974 86.705255 \nL 233.749363 94.774088 \nL 220.598534 101.692692 \nL 208.549593 107.453684 \nL 197.643301 112.129933 \nL 187.866792 115.835666 \nL 179.172377 118.700295 \nL 171.492312 120.852775 \nL 164.749533 122.413573 \nL 158.86494 123.491326 \nL 153.761965 124.182248 \nL 149.369169 124.57083 \nL 145.621413 124.73107 \nL 139.832875 124.617596 \nL 134.709727 124.108233 \nL 133.213909 123.973721 \nL 132.941395 124.044369 \nL 132.944631 124.228509 \nL 133.659333 124.973024 \nL 138.243679 129.033528 \nL 140.634588 131.39146 \nL 143.061551 134.03318 \nL 145.372399 136.858579 \nL 147.445203 139.77234 \nL 149.187883 142.687929 \nL 150.535474 145.528632 \nL 151.445986 148.226483 \nL 151.895705 150.720294 \nL 151.944237 151.87283 \nL 151.874705 152.953275 \nL 151.68741 153.954859 \nL 151.383108 154.870851 \nL 150.962945 155.694482 \nL 150.428437 156.418951 \nL 149.781453 157.037396 \nL 149.024214 157.542888 \nL 148.159327 157.928454 \nL 147.189831 158.187122 \nL 146.119256 158.31197 \nL 144.951714 158.296204 \nL 143.691993 158.133307 \nL 142.345672 157.817141 \nL 140.919238 157.342171 \nL 139.420228 156.703689 \nL 137.857375 155.898044 \nL 136.240732 154.922974 \nL 134.581793 153.77794 \nL 132.893627 152.464496 \nL 131.190955 150.986677 \nL 129.4902 149.351377 \nL 127.809483 147.56874 \nL 126.16856 145.652488 \nL 124.588697 143.620173 \nL 123.092428 141.493327 \nL 121.703233 139.297464 \nL 120.445111 137.061894 \nL 119.342047 134.819317 \nL 118.417381 132.605237 \nL 117.69309 130.457063 \nL 117.189056 128.413075 \nL 116.922237 126.511161 \nL 116.905939 124.787475 \nL 117.149107 123.275057 \nL 117.655776 122.002552 \nL 118.424645 120.993046 \nL 119.448914 120.263228 \nL 120.716307 119.822856 \nL 122.20934 119.674604 \nL 123.905866 119.814286 \nL 125.779746 120.231442 \nL 127.801745 120.910213 \nL 129.940475 121.830392 \nL 132.163404 122.968582 \nL 134.437843 124.29938 \nL 136.731852 125.796468 \nL 139.015035 127.433561 \nL 143.438684 131.027315 \nL 147.5167 134.895912 \nL 151.106122 138.88564 \nL 152.686322 140.886707 \nL 154.112378 142.874641 \nL 155.378934 144.838436 \nL 156.482642 146.768351 \nL 157.421856 148.655696 \nL 158.196296 150.492618 \nL 158.806763 152.271888 \nL 159.254861 153.986723 \nL 159.542758 155.630618 \nL 159.672976 157.197218 \nL 159.648218 158.680147 \nL 159.471234 160.072929 \nL 159.144713 161.368872 \nL 158.671214 162.56098 \nL 158.053119 163.641852 \nL 157.292641 164.603643 \nL 156.391818 165.437989 \nL 155.352587 166.135952 \nL 154.176845 166.688022 \nL 152.866552 167.08409 \nL 151.423872 167.313483 \nL 149.851329 167.365008 \nL 148.151996 167.227061 \nL 146.32972 166.887782 \nL 144.389375 166.335259 \nL 142.337127 165.55783 \nL 140.180751 164.544479 \nL 137.929957 163.285304 \nL 135.596732 161.7721 \nL 133.195671 159.999102 \nL 130.744331 157.963761 \nL 128.263519 155.667711 \nL 125.777539 153.11771 \nL 123.314352 150.326687 \nL 120.905589 147.314696 \nL 118.586441 144.109789 \nL 116.395293 140.748606 \nL 114.373153 137.27665 \nL 112.562784 133.748041 \nL 111.007565 130.224705 \nL 109.750058 126.77487 \nL 108.830352 123.470861 \nL 108.28423 120.386256 \nL 108.141272 117.592524 \nL 108.423056 115.155434 \nL 109.141564 113.131484 \nL 110.297987 111.564833 \nL 111.882063 110.484875 \nL 113.872051 109.904924 \nL 116.235333 109.822057 \nL 118.929693 110.218193 \nL 121.905134 111.062109 \nL 125.106067 112.312296 \nL 128.473714 113.920218 \nL 131.948523 115.833547 \nL 135.472419 117.999221 \nL 138.990725 120.365954 \nL 142.453664 122.886108 \nL 145.81746 125.516985 \nL 149.044925 128.221433 \nL 152.105688 130.967989 \nL 154.976043 133.730644 \nL 157.638562 136.488351 \nL 160.081494 139.22438 \nL 162.298052 141.925624 \nL 164.285648 144.581939 \nL 166.045131 147.185498 \nL 167.580027 149.73027 \nL 168.89587 152.211502 \nL 169.999578 154.625394 \nL 170.898915 156.968731 \nL 171.602041 159.238676 \nL 172.117132 161.432531 \nL 172.452076 163.547603 \nL 172.614231 165.581046 \nL 172.610243 167.529768 \nL 172.445915 169.390316 \nL 172.126118 171.158778 \nL 171.654736 172.830692 \nL 171.034648 174.400957 \nL 170.26773 175.86372 \nL 169.354886 177.212274 \nL 168.296088 178.438937 \nL 167.090456 179.53495 \nL 165.736333 180.490324 \nL 164.231404 181.293721 \nL 162.572828 181.932332 \nL 160.757398 182.391742 \nL 158.781731 182.655827 \nL 156.642513 182.70666 \nL 154.336764 182.524477 \nL 151.862183 182.087702 \nL 149.217547 181.373068 \nL 146.403177 180.355838 \nL 143.421493 179.010215 \nL 140.277655 177.309967 \nL 136.980285 175.229271 \nL 133.54227 172.743945 \nL 129.981675 169.832996 \nL 126.32264 166.480606 \nL 122.596318 162.678505 \nL 118.84176 158.428785 \nL 115.106633 153.746939 \nL 111.447658 148.665078 \nL 107.930663 143.234923 \nL 104.630082 137.530199 \nL 101.627702 131.647982 \nL 99.010545 125.708362 \nL 96.867795 119.8519 \nL 95.286807 114.234529 \nL 94.348234 109.019737 \nL 94.120698 104.368472 \nL 94.655351 100.427587 \nL 95.98099 97.318074 \nL 98.100318 95.124971 \nL 100.987975 93.890302 \nL 104.590703 93.610409 \nL 108.829849 94.238177 \nL 113.605913 95.68973 \nL 118.804677 97.854293 \nL 124.304195 100.605728 \nL 129.981779 103.813797 \nL 135.720319 107.35383 \nL 141.413367 111.113771 \nL 146.968711 114.998398 \nL 152.310388 118.930978 \nL 157.379289 122.852817 \nL 162.132631 126.721474 \nL 166.542607 130.508186 \nL 170.594518 134.195087 \nL 174.28467 137.772554 \nL 177.618241 141.236881 \nL 180.607251 144.588365 \nL 183.26872 147.829826 \nL 185.623083 150.96552 \nL 187.692856 154.000386 \nL 189.501556 156.939524 \nL 191.072844 159.787892 \nL 192.429881 162.550128 \nL 193.594854 165.230479 \nL 194.58864 167.832766 \nL 196.138466 172.816507 \nL 197.214432 177.524697 \nL 197.92523 181.976304 \nL 198.355041 186.187204 \nL 198.56663 190.171075 \nL 198.568675 195.747324 \nL 198.268688 200.875382 \nL 197.702678 205.585354 \nL 197.175827 208.505228 \nL 196.517705 211.255424 \nL 195.710794 213.839318 \nL 194.730776 216.257721 \nL 193.545985 218.507997 \nL 192.116499 220.582699 \nL 190.392865 222.467634 \nL 188.314488 224.13898 \nL 187.119821 224.883499 \nL 185.807712 225.559147 \nL 184.366562 226.158091 \nL 182.783686 226.670744 \nL 181.045246 227.085428 \nL 179.136204 227.387971 \nL 177.040277 227.561218 \nL 174.739931 227.58448 \nL 172.216399 227.432882 \nL 169.449764 227.076638 \nL 166.419105 226.48021 \nL 163.102753 225.601431 \nL 159.478683 224.390546 \nL 155.525084 222.789289 \nL 151.221164 220.73004 \nL 146.548286 218.135231 \nL 141.49147 214.917186 \nL 136.041379 210.978719 \nL 130.196905 206.214873 \nL 123.968415 200.516356 \nL 117.381715 193.775309 \nL 110.48282 185.894136 \nL 103.343281 176.798126 \nL 96.065968 166.452263 \nL 88.790624 154.882156 \nL 81.698418 142.197869 \nL 75.014196 128.617816 \nL 69.004772 114.487847 \nL 63.971381 100.288495 \nL 60.234699 86.6222 \nL 58.111446 74.173399 \nL 57.88348 63.639243 \nL 59.762462 55.637025 \nL 63.855806 50.605501 \nL 70.141372 48.724727 \nL 78.458194 49.879844 \nL 88.517393 53.682919 \nL 99.932576 59.548294 \nL 112.263591 66.799016 \nL 137.922841 82.906025 \nL 150.493618 90.769869 \nL 162.50912 98.083754 \nL 173.782904 104.694063 \nL 184.201764 110.545014 \nL 193.713204 115.647442 \nL 202.311389 120.052053 \nL 210.023892 123.829272 \nL 223.00376 129.805916 \nL 233.170077 134.141477 \nL 241.07991 137.278624 \nL 247.240249 139.53171 \nL 252.075326 141.114212 \nL 255.922393 142.16927 \nL 259.039629 142.794149 \nL 261.618088 143.057798 \nL 263.793945 143.012896 \nL 265.659617 142.704002 \nL 267.273357 142.172978 \nL 268.66738 141.462488 \nL 269.854793 140.617931 \nL 270.83561 139.688182 \nL 271.601991 138.725143 \nL 272.142937 137.782313 \nL 272.44838 136.912582 \nL 272.512654 136.165453 \nL 272.337196 135.584126 \nL 271.932336 135.202807 \nL 271.318096 135.044574 \nL 270.523918 135.120204 \nL 269.587492 135.428021 \nL 268.552768 135.95467 \nL 266.921286 137.101473 \nL 265.339957 138.575926 \nL 263.960196 140.24455 \nL 262.907607 141.965477 \nL 262.434525 143.072615 \nL 262.166695 144.101577 \nL 262.115121 145.015569 \nL 262.283799 145.780729 \nL 262.669948 146.366558 \nL 263.26421 146.746536 \nL 264.050779 146.898813 \nL 265.00742 146.807238 \nL 266.105463 146.462568 \nL 267.309796 145.863844 \nL 268.579048 145.01997 \nL 269.866063 143.951104 \nL 271.118816 142.689715 \nL 272.281956 141.280997 \nL 273.299043 139.782278 \nL 274.115524 138.261093 \nL 274.682232 136.791845 \nL 274.95924 135.451169 \nL 274.919602 134.312304 \nL 274.552433 133.439181 \nL 274.247523 133.118393 \nL 273.864862 132.881173 \nL 272.882475 132.669143 \nL 271.64796 132.813559 \nL 270.218208 133.304755 \nL 268.660146 134.115167 \nL 267.045939 135.202969 \nL 265.448149 136.51631 \nL 263.935493 137.997513 \nL 262.569501 139.586653 \nL 261.402344 141.224251 \nL 260.475712 142.853057 \nL 259.820615 144.418956 \nL 259.457826 145.871397 \nL 259.39865 147.163359 \nL 259.645779 148.251306 \nL 260.194031 149.095179 \nL 261.03078 149.658673 \nL 262.136054 149.909975 \nL 263.482275 149.822955 \nL 265.033729 149.379011 \nL 266.745872 148.569513 \nL 268.564719 147.398725 \nL 270.426611 145.886991 \nL 272.258631 144.073696 \nL 273.980134 142.019446 \nL 275.505622 139.806613 \nL 276.749223 137.537428 \nL 277.630594 135.329021 \nL 278.081979 133.305396 \nL 278.130488 132.400923 \nL 278.055447 131.586828 \nL 277.855013 130.875654 \nL 277.529266 130.278314 \nL 277.080287 129.803789 \nL 276.512172 129.458939 \nL 275.830962 129.248353 \nL 275.044552 129.174304 \nL 274.162523 129.236757 \nL 273.195945 129.433501 \nL 271.059259 130.211007 \nL 268.74251 131.45264 \nL 266.359553 133.083975 \nL 264.021345 135.019265 \nL 261.828745 137.169225 \nL 259.867699 139.44681 \nL 258.206864 141.770681 \nL 256.897331 144.066612 \nL 255.973904 146.267465 \nL 255.457249 148.312264 \nL 255.356317 150.144837 \nL 255.461903 150.96499 \nL 255.670579 151.712564 \nL 255.981072 152.381356 \nL 256.391686 152.965297 \nL 256.900304 153.458425 \nL 257.504399 153.854911 \nL 258.201007 154.149082 \nL 258.986695 154.335478 \nL 259.857525 154.408895 \nL 260.808997 154.364462 \nL 261.835987 154.197762 \nL 264.092498 153.482829 \nL 266.570866 152.242802 \nL 269.200241 150.473563 \nL 271.893194 148.194953 \nL 274.544909 145.457856 \nL 277.034377 142.350316 \nL 279.228369 139.000806 \nL 280.988939 135.576427 \nL 281.664943 133.896934 \nL 282.184461 132.274101 \nL 282.534318 130.734503 \nL 282.703534 129.304167 \nL 282.683792 128.007762 \nL 282.469807 126.867803 \nL 282.059652 125.903918 \nL 281.454964 125.132197 \nL 280.661045 124.564678 \nL 279.686788 124.209061 \nL 278.544545 124.068568 \nL 277.249769 124.142028 \nL 275.820632 124.424151 \nL 274.277498 124.905965 \nL 272.642343 125.575371 \nL 270.938153 126.417767 \nL 267.416056 128.554576 \nL 263.893182 131.174157 \nL 260.533903 134.132522 \nL 257.474917 137.296072 \nL 254.82085 140.547779 \nL 252.644686 143.788462 \nL 250.991526 146.934906 \nL 249.884141 149.916341 \nL 249.53759 151.325495 \nL 249.328899 152.670511 \nL 249.257183 153.944315 \nL 249.321143 155.139952 \nL 249.519171 156.250457 \nL 249.849416 157.268832 \nL 250.309835 158.187951 \nL 250.898232 159.000525 \nL 251.612242 159.699069 \nL 252.449327 160.275893 \nL 253.406715 160.723101 \nL 254.481349 161.032618 \nL 255.66978 161.196242 \nL 256.968065 161.205718 \nL 258.371633 161.052861 \nL 259.875137 160.729714 \nL 261.472279 160.228768 \nL 263.155632 159.543178 \nL 264.916444 158.667099 \nL 266.744436 157.596062 \nL 268.627623 156.327385 \nL 270.552115 154.86064 \nL 272.501977 153.198202 \nL 274.459087 151.345763 \nL 276.403098 149.312909 \nL 278.311433 147.11362 \nL 280.159388 144.766711 \nL 281.920366 142.296151 \nL 283.566214 139.731214 \nL 285.067696 137.106369 \nL 286.395172 134.460889 \nL 287.519362 131.838138 \nL 288.412269 129.284531 \nL 289.048183 126.848125 \nL 289.404771 124.57694 \nL 289.464121 122.51711 \nL 289.213719 120.710932 \nL 288.647284 119.195003 \nL 287.765374 117.998615 \nL 286.575687 117.142471 \nL 285.093058 116.637953 \nL 283.339077 116.486966 \nL 281.341411 116.6823 \nL 279.132816 117.208539 \nL 276.749949 118.043355 \nL 274.232017 119.159141 \nL 271.619422 120.524664 \nL 268.9524 122.106739 \nL 266.269873 123.871722 \nL 263.608376 125.786803 \nL 261.001301 127.820922 \nL 258.478315 129.945487 \nL 256.065047 132.134736 \nL 253.78296 134.365897 \nL 251.649418 136.619146 \nL 249.677901 138.877428 \nL 247.878318 141.126175 \nL 246.257402 143.35302 \nL 244.819143 145.54743 \nL 243.565227 147.700381 \nL 242.495485 149.804054 \nL 241.608298 151.851554 \nL 240.900983 153.836651 \nL 240.370128 155.753578 \nL 240.011904 157.596806 \nL 239.822288 159.360918 \nL 239.797285 161.040428 \nL 239.933094 162.62968 \nL 240.226215 164.122717 \nL 240.673542 165.513183 \nL 241.272406 166.794208 \nL 242.020604 167.95834 \nL 242.916365 168.997453 \nL 243.958332 169.90267 \nL 245.145471 170.664283 \nL 246.476982 171.271714 \nL 247.952166 171.713479 \nL 249.570268 171.977162 \nL 251.330283 172.049468 \nL 253.230732 171.916255 \nL 255.269395 171.562689 \nL 257.443005 170.973442 \nL 259.746911 170.132969 \nL 262.174681 169.02595 \nL 264.71769 167.637808 \nL 267.364644 165.955418 \nL 270.10113 163.967989 \nL 272.909095 161.668076 \nL 275.766399 159.052853 \nL 278.646384 156.125446 \nL 281.517542 152.896426 \nL 284.343316 149.385317 \nL 287.082128 145.622001 \nL 289.687637 141.647876 \nL 292.10935 137.516578 \nL 294.293612 133.294066 \nL 296.185049 129.057821 \nL 297.728391 124.895053 \nL 298.87076 120.89978 \nL 299.564202 117.16884 \nL 299.768421 113.797019 \nL 299.453448 110.871698 \nL 298.602008 108.467436 \nL 297.211354 106.641281 \nL 295.294289 105.429153 \nL 292.87927 104.843972 \nL 290.009452 104.875742 \nL 286.740793 105.493427 \nL 283.139354 106.648492 \nL 279.277996 108.279588 \nL 275.232894 110.317517 \nL 271.080119 112.690265 \nL 266.89251 115.327235 \nL 262.737188 118.162632 \nL 258.673648 121.137667 \nL 254.752618 124.201833 \nL 251.015536 127.313191 \nL 247.494591 130.438042 \nL 244.213215 133.550153 \nL 241.18688 136.62969 \nL 238.424088 139.662129 \nL 235.927471 142.637173 \nL 233.694871 145.547764 \nL 231.720401 148.389253 \nL 229.995413 151.1587 \nL 228.509347 153.854347 \nL 227.250479 156.475184 \nL 226.206534 159.020648 \nL 225.365196 161.49037 \nL 224.714515 163.884019 \nL 224.243213 166.201183 \nL 223.940926 168.441257 \nL 223.798368 170.603376 \nL 223.807444 172.686353 \nL 223.961321 174.688634 \nL 224.254464 176.608218 \nL 224.682641 178.442603 \nL 225.24291 180.188702 \nL 225.933596 181.842783 \nL 226.754249 183.400351 \nL 227.705593 184.856048 \nL 228.789475 186.203542 \nL 230.008797 187.435374 \nL 231.367447 188.542795 \nL 232.870218 189.515609 \nL 234.5227 190.341974 \nL 236.331184 191.008198 \nL 238.302512 191.498527 \nL 240.443903 191.794933 \nL 242.762748 191.87689 \nL 245.26634 191.7212 \nL 247.961548 191.301852 \nL 250.854399 190.589944 \nL 253.94958 189.55374 \nL 257.24982 188.158886 \nL 260.755138 186.368884 \nL 264.461948 184.145831 \nL 268.362019 181.451663 \nL 272.441257 178.249824 \nL 276.678381 174.507639 \nL 281.043461 170.199379 \nL 285.496415 165.310074 \nL 289.985571 159.840109 \nL 294.446448 153.81035 \nL 298.800954 147.267571 \nL 302.957232 140.289538 \nL 306.810504 132.989008 \nL 310.245179 125.515626 \nL 313.13853 118.054489 \nL 315.365999 110.82048 \nL 316.808205 104.047616 \nL 317.359215 97.973544 \nL 316.935421 92.820411 \nL 315.484076 88.774322 \nL 312.990233 85.966542 \nL 309.480946 84.460029 \nL 305.025764 84.243795 \nL 299.733196 85.236647 \nL 293.743409 87.299442 \nL 287.218103 90.253406 \nL 280.329011 93.900966 \nL 273.246557 98.045286 \nL 266.129988 102.505899 \nL 259.119924 107.128897 \nL 252.333682 111.791628 \nL 245.863257 116.402869 \nL 239.775552 120.899789 \nL 234.11423 125.243219 \nL 228.902597 129.412395 \nL 224.14697 133.39991 \nL 219.840112 137.207369 \nL 215.964491 140.841967 \nL 212.495155 144.313923 \nL 209.402195 147.634672 \nL 206.652743 150.81567 \nL 204.21257 153.867685 \nL 202.047293 156.800433 \nL 200.123268 159.622397 \nL 196.87162 164.961763 \nL 194.221897 169.93027 \nL 190.94116 176.748122 \nL 188.012686 182.844077 \nL 186.041192 186.509291 \nL 183.929756 189.843267 \nL 182.791665 191.379366 \nL 181.583505 192.823002 \nL 180.294146 194.169061 \nL 178.912498 195.411288 \nL 177.42741 196.542121 \nL 175.827577 197.552502 \nL 174.101487 198.431657 \nL 172.237381 199.16685 \nL 170.22325 199.743105 \nL 168.046863 200.142916 \nL 165.695862 200.345914 \nL 163.157889 200.328564 \nL 160.420788 200.063817 \nL 157.472912 199.520834 \nL 154.30352 198.664767 \nL 150.903299 197.456625 \nL 147.265065 195.853365 \nL 143.384606 193.808245 \nL 139.261779 191.271561 \nL 134.901786 188.191929 \nL 130.316752 184.518281 \nL 125.527507 180.20275 \nL 120.565596 175.20461 \nL 115.475432 169.495451 \nL 110.31647 163.0656 \nL 105.165194 155.931608 \nL 100.116616 148.144462 \nL 95.284926 139.797684 \nL 90.80279 131.034049 \nL 86.818793 122.049292 \nL 83.492555 113.090793 \nL 80.987233 104.449408 \nL 79.459419 96.443123 \nL 79.046917 89.392724 \nL 79.855579 83.591572 \nL 81.946799 79.273623 \nL 85.327766 76.585487 \nL 89.946344 75.56859 \nL 95.69206 76.155736 \nL 102.403487 78.183258 \nL 109.881079 81.416055 \nL 117.90355 85.579891 \nL 126.245163 90.394138 \nL 134.691407 95.599018 \nL 143.051295 100.973957 \nL 158.908924 111.591971 \nL 172.959393 121.415509 \nL 184.847441 130.171001 \nL 189.974057 134.151893 \nL 194.584426 137.889455 \nL 198.712606 141.403863 \nL 202.398546 144.71546 \nL 205.68544 147.843284 \nL 208.617699 150.804246 \nL 213.593492 156.280876 \nL 217.658908 161.231652 \nL 227.127052 173.307909 \nL 230.079895 176.412116 \nL 231.610558 177.776392 \nL 233.199142 179.00684 \nL 234.860372 180.095316 \nL 236.60787 181.032209 \nL 238.454245 181.806348 \nL 240.411148 182.404884 \nL 242.489287 182.813197 \nL 244.698362 183.014785 \nL 247.046986 182.991227 \nL 249.542485 182.722152 \nL 252.190675 182.185301 \nL 254.995512 181.356688 \nL 257.958687 180.21091 \nL 261.079093 178.721624 \nL 264.352223 176.86228 \nL 267.76943 174.607108 \nL 271.317141 171.932507 \nL 274.975946 168.818808 \nL 278.719692 165.252422 \nL 282.514562 161.228524 \nL 286.318243 156.753983 \nL 290.079309 151.850639 \nL 293.736885 146.558551 \nL 297.220825 140.938899 \nL 300.452518 135.076139 \nL 303.346491 129.078756 \nL 305.812959 123.078117 \nL 307.761391 117.224842 \nL 309.104965 111.682392 \nL 309.765848 106.618073 \nL 309.680751 102.191793 \nL 308.806408 98.543891 \nL 307.124166 95.783534 \nL 304.643162 93.97939 \nL 301.401465 93.154152 \nL 297.464874 93.283999 \nL 292.923432 94.302947 \nL 287.885932 96.111363 \nL 282.473154 98.587213 \nL 276.810573 101.598067 \nL 271.021406 105.012116 \nL 265.22062 108.706998 \nL 259.510396 112.575765 \nL 253.977204 116.52993 \nL 248.690423 120.500073 \nL 243.702313 124.434609 \nL 239.048999 128.297473 \nL 234.752136 132.065284 \nL 230.820984 135.724508 \nL 227.254602 139.268847 \nL 224.044009 142.697021 \nL 221.174172 146.011027 \nL 218.625773 149.21484 \nL 216.376704 152.313442 \nL 214.403305 155.31218 \nL 212.68135 158.216371 \nL 211.186808 161.031055 \nL 209.89642 163.760872 \nL 208.788094 166.410026 \nL 207.036644 171.480967 \nL 205.786948 176.269426 \nL 204.920248 180.796005 \nL 204.343066 185.077793 \nL 203.984157 189.129462 \nL 203.744268 194.803579 \nL 203.764048 200.027834 \nL 203.981947 204.8366 \nL 204.37559 209.260283 \nL 204.951832 213.325205 \nL 205.741869 217.052834 \nL 206.413352 219.358288 \nL 207.226183 221.522983 \nL 208.20874 223.546732 \nL 209.396259 225.425923 \nL 210.832139 227.152131 \nL 212.569549 228.710019 \nL 214.673373 230.074293 \nL 215.886715 230.672128 \nL 217.22245 231.205199 \nL 218.693022 231.665205 \nL 220.312068 232.041967 \nL 222.094483 232.323052 \nL 224.056494 232.493313 \nL 226.215708 232.534354 \nL 228.591136 232.423895 \nL 231.203167 232.135048 \nL 234.073499 231.635462 \nL 237.224991 230.886393 \nL 240.681373 229.841651 \nL 244.466835 228.446504 \nL 248.605389 226.63659 \nL 253.119966 224.336906 \nL 258.031151 221.461093 \nL 263.355471 217.911238 \nL 269.103111 213.578532 \nL 275.274954 208.345342 \nL 281.858825 202.089301 \nL 288.824868 194.690224 \nL 296.120034 186.040781 \nL 303.661819 176.061763 \nL 311.331619 164.722398 \nL 318.968364 152.065558 \nL 326.363526 138.236057 \nL 333.259133 123.508244 \nL 339.350826 108.306299 \nL 344.298261 93.208224 \nL 347.744673 78.923304 \nL 349.346417 66.235283 \nL 348.81072 55.910868 \nL 345.937089 48.584917 \nL 340.65451 44.647381 \nL 333.045266 44.164242 \nL 323.34724 46.860769 \nL 311.93179 52.176321 \nL 299.260596 59.375194 \nL 285.831322 67.678684 \nL 258.560424 84.920661 \nL 245.476575 92.911515 \nL 233.117092 100.12705 \nL 221.639038 106.470556 \nL 211.125143 111.936479 \nL 201.599969 116.575678 \nL 193.045931 120.468594 \nL 185.417233 123.706748 \nL 178.651029 126.381332 \nL 172.67578 128.576989 \nL 167.417176 130.36906 \nL 158.761138 132.99411 \nL 152.149984 134.670339 \nL 147.139215 135.693183 \nL 143.375787 136.273911 \nL 139.490397 136.64114 \nL 135.419526 136.926758 \nL 135.650869 137.299473 \nL 137.601367 139.613775 \nL 138.406319 140.962576 \nL 138.788891 141.947473 \nL 138.920142 142.819399 \nL 138.77257 143.503528 \nL 138.517281 143.823231 \nL 138.14221 144.015642 \nL 137.657592 144.069312 \nL 136.758561 143.875405 \nL 135.714054 143.351952 \nL 134.609102 142.525698 \nL 133.541877 141.455131 \nL 132.616441 140.229759 \nL 131.932721 138.964662 \nL 131.574593 137.789627 \nL 131.545625 137.120502 \nL 131.69404 136.583309 \nL 132.018454 136.206297 \nL 132.508611 136.009878 \nL 133.145673 136.005349 \nL 133.903205 136.194411 \nL 135.19296 136.82182 \nL 136.554083 137.805195 \nL 137.855561 139.052246 \nL 138.9753 140.451154 \nL 139.811394 141.882097 \nL 140.28907 143.226293 \nL 140.385177 144.018847 \nL 140.296089 144.693055 \nL 140.022347 145.221815 \nL 139.570429 145.58161 \nL 138.952627 145.75318 \nL 138.186943 145.722316 \nL 137.29702 145.480815 \nL 136.311952 145.027532 \nL 135.266009 144.369405 \nL 133.669196 143.03589 \nL 132.17001 141.375332 \nL 130.922617 139.531839 \nL 130.304016 138.290693 \nL 129.900081 137.109539 \nL 129.739625 136.048842 \nL 129.840391 135.165056 \nL 130.207042 134.506433 \nL 130.830064 134.109323 \nL 131.685769 133.9956 \nL 132.737569 134.17146 \nL 133.938304 134.627734 \nL 135.23345 135.34154 \nL 136.56465 136.278816 \nL 137.87334 137.39737 \nL 139.103901 138.649889 \nL 140.206202 139.986617 \nL 141.137392 141.357447 \nL 141.862886 142.713478 \nL 142.356749 144.007935 \nL 142.601591 145.196778 \nL 142.588192 146.239028 \nL 142.315042 147.096983 \nL 141.787927 147.736577 \nL 141.019673 148.127928 \nL 140.0301 148.246153 \nL 138.846145 148.072592 \nL 137.502112 147.596434 \nL 136.039912 146.816655 \nL 134.509129 145.744165 \nL 132.966661 144.403908 \nL 131.475745 142.83654 \nL 130.104114 141.099147 \nL 128.921122 139.264609 \nL 127.993835 137.419023 \nL 127.38226 135.65703 \nL 127.134116 134.075229 \nL 127.279829 132.764298 \nL 127.504129 132.235128 \nL 127.828469 131.800934 \nL 128.250265 131.467961 \nL 128.765435 131.240849 \nL 129.36845 131.122521 \nL 130.809323 131.215395 \nL 132.504368 131.736532 \nL 134.371347 132.652336 \nL 136.320838 133.91081 \nL 138.262768 135.447623 \nL 140.112212 137.191979 \nL 141.793755 139.071506 \nL 143.244247 141.015682 \nL 144.413974 142.957893 \nL 145.266554 144.836257 \nL 145.777977 146.593653 \nL 145.93519 148.177257 \nL 145.734659 149.537961 \nL 145.181157 150.62989 \nL 144.775604 151.061563 \nL 144.286991 151.410259 \nL 143.718006 151.671173 \nL 143.071803 151.839796 \nL 141.562897 151.883827 \nL 139.796117 151.514155 \nL 137.817077 150.711894 \nL 135.682465 149.471167 \nL 133.461224 147.803542 \nL 131.234984 145.742738 \nL 129.097358 143.348825 \nL 127.151451 140.710873 \nL 125.505211 137.946688 \nL 124.264402 135.198449 \nL 123.523539 132.623488 \nL 123.364527 131.451017 \nL 123.355663 130.380664 \nL 123.501117 129.429835 \nL 123.802591 128.613954 \nL 124.259204 127.946026 \nL 124.867386 127.436296 \nL 125.620912 127.091967 \nL 126.510998 126.917098 \nL 127.526485 126.912578 \nL 128.654118 127.076236 \nL 129.878851 127.403091 \nL 131.184246 127.88564 \nL 133.966723 129.277593 \nL 136.857719 131.157076 \nL 139.71673 133.414966 \nL 142.416777 135.939477 \nL 144.851082 138.624247 \nL 146.936134 141.37276 \nL 148.6116 144.099774 \nL 149.838033 146.730498 \nL 150.593365 149.198699 \nL 150.869081 151.444318 \nL 150.827262 152.465983 \nL 150.666755 153.411104 \nL 150.388895 154.272922 \nL 149.995368 155.04472 \nL 149.488191 155.719783 \nL 148.869704 156.291386 \nL 148.142581 156.752795 \nL 147.309871 157.097304 \nL 146.375038 157.318263 \nL 145.342028 157.409137 \nL 144.215349 157.36361 \nL 143.000179 157.175702 \nL 141.702453 156.839901 \nL 140.328993 156.351353 \nL 138.887627 155.706103 \nL 137.387322 154.901313 \nL 135.838293 153.935557 \nL 134.252114 152.80915 \nL 132.641817 151.524468 \nL 131.021946 150.086314 \nL 129.408606 148.50224 \nL 127.819406 146.782877 \nL 126.273405 144.942221 \nL 124.790939 142.997806 \nL 123.393398 140.970788 \nL 122.102895 138.885913 \nL 120.941836 136.771269 \nL 119.932421 134.65788 \nL 119.096065 132.579098 \nL 118.452717 130.569768 \nL 118.020192 128.665248 \nL 117.813448 126.900273 \nL 117.843926 125.307723 \nL 118.118965 123.917437 \nL 118.641289 122.755056 \nL 119.408728 121.841064 \nL 120.414063 121.190072 \nL 121.645097 120.810385 \nL 123.084949 120.703917 \nL 124.712536 120.866421 \nL 126.50323 121.288029 \nL 128.429647 121.954018 \nL 130.462524 122.845768 \nL 132.571612 123.941789 \nL 134.726543 125.218738 \nL 136.897669 126.652406 \nL 141.177475 129.893543 \nL 145.211302 133.482119 \nL 148.841566 137.258526 \nL 151.955929 141.091594 \nL 153.296156 142.99584 \nL 154.483843 144.876939 \nL 155.515476 146.725183 \nL 156.389134 148.531831 \nL 157.104187 150.288893 \nL 157.661047 151.988979 \nL 158.060909 153.625108 \nL 158.305532 155.190562 \nL 158.397056 156.678746 \nL 158.337843 158.083089 \nL 158.130356 159.396909 \nL 157.777055 160.613317 \nL 157.280349 161.725164 \nL 156.64255 162.724929 \nL 155.865881 163.604699 \nL 154.952496 164.356092 \nL 153.904535 164.97024 \nL 152.724197 165.437776 \nL 151.413857 165.748848 \nL 149.976189 165.893178 \nL 148.414342 165.860127 \nL 146.732119 165.638817 \nL 144.934194 165.21832 \nL 143.026356 164.587921 \nL 141.015775 163.737399 \nL 138.911293 162.657476 \nL 136.723714 161.340299 \nL 134.466114 159.780014 \nL 132.154156 157.973511 \nL 129.806343 155.921158 \nL 127.444268 153.62768 \nL 125.092753 151.103031 \nL 122.779943 148.363276 \nL 120.53722 145.431367 \nL 118.39895 142.337764 \nL 116.402061 139.120784 \nL 114.585376 135.826592 \nL 112.988682 132.508681 \nL 111.651572 129.226828 \nL 110.612072 126.045445 \nL 109.905063 123.031335 \nL 109.560634 120.250975 \nL 109.602427 117.767436 \nL 110.046133 115.637274 \nL 110.898247 113.90752 \nL 112.155191 112.61326 \nL 113.803016 111.775872 \nL 115.817573 111.402328 \nL 118.165334 111.485418 \nL 120.804691 112.004974 \nL 123.687719 112.929912 \nL 126.76217 114.220857 \nL 129.973641 115.832898 \nL 133.267639 117.718474 \nL 136.591515 119.829837 \nL 139.896057 122.121102 \nL 143.136736 124.54981 \nL 146.274554 127.077868 \nL 149.276497 129.672054 \nL 152.115659 132.304076 \nL 154.771081 134.950351 \nL 157.227352 137.591567 \nL 159.474078 140.21214 \nL 161.505229 142.799626 \nL 163.318471 145.34415 \nL 164.914469 147.837858 \nL 166.296248 150.274453 \nL 167.468577 152.648799 \nL 168.437428 154.956555 \nL 169.209506 157.19392 \nL 169.791843 159.357389 \nL 170.19146 161.443562 \nL 170.415109 163.449004 \nL 170.469046 165.370101 \nL 170.358884 167.20293 \nL 170.08947 168.943185 \nL 169.664812 170.586047 \nL 169.088041 172.126098 \nL 168.361399 173.557203 \nL 167.486252 174.872432 \nL 166.463135 176.063924 \nL 165.29182 177.122802 \nL 163.971386 178.039041 \nL 162.500353 178.801364 \nL 160.876794 179.397123 \nL 159.098515 179.812219 \nL 157.163248 180.031008 \nL 155.0689 180.036281 \nL 152.813822 179.809237 \nL 150.397155 179.329602 \nL 147.819222 178.575764 \nL 145.081984 177.52509 \nL 142.189585 176.154362 \nL 139.148944 174.440477 \nL 135.970447 172.361327 \nL 132.668675 169.897022 \nL 129.263197 167.031402 \nL 125.779383 163.753916 \nL 122.249185 160.061837 \nL 118.711812 155.962762 \nL 115.214248 151.477241 \nL 111.81148 146.64147 \nL 108.566325 141.509613 \nL 105.548714 136.155489 \nL 102.834316 130.673177 \nL 100.502394 125.176065 \nL 98.632861 119.793958 \nL 97.302564 114.668006 \nL 96.580968 109.94353 \nL 96.525498 105.761032 \nL 97.177022 102.246411 \nL 98.555858 99.501316 \nL 100.658933 97.595096 \nL 103.458479 96.559588 \nL 106.902595 96.387548 \nL 110.917677 97.034985 \nL 115.412542 98.427083 \nL 120.283789 100.466602 \nL 125.421758 103.043451 \nL 130.716496 106.043949 \nL 136.06309 109.358862 \nL 141.365987 112.889256 \nL 146.542029 116.550147 \nL 151.522227 120.272004 \nL 156.252329 124.000577 \nL 160.692443 127.69557 \nL 164.815932 131.328613 \nL 168.607866 134.881019 \nL 172.063239 138.341594 \nL 175.18512 141.704665 \nL 177.982891 144.968419 \nL 180.470613 148.133618 \nL 182.665615 151.202604 \nL 184.587275 154.178587 \nL 186.256028 157.065167 \nL 187.692567 159.865991 \nL 188.917232 162.584581 \nL 189.94954 165.224208 \nL 190.807858 167.787872 \nL 191.509182 170.278256 \nL 192.501219 175.04854 \nL 193.030583 179.551176 \nL 193.177311 183.798683 \nL 192.998264 187.800518 \nL 192.529555 191.563181 \nL 191.789006 195.090038 \nL 190.778263 198.380666 \nL 189.484345 201.429815 \nL 187.880602 204.225743 \nL 186.950577 205.52275 \nL 185.927067 206.747883 \nL 184.802969 207.896643 \nL 183.570315 208.963489 \nL 182.220239 209.941652 \nL 180.742967 210.822922 \nL 179.127791 211.597391 \nL 177.363064 212.253155 \nL 175.436206 212.775985 \nL 173.333723 213.148917 \nL 171.041269 213.351834 \nL 168.543732 213.360969 \nL 165.825395 213.148366 \nL 162.870159 212.68133 \nL 159.661872 211.921844 \nL 156.184786 210.826045 \nL 152.424167 209.343778 \nL 148.367144 207.418332 \nL 144.003767 204.986506 \nL 139.328401 201.979141 \nL 134.341491 198.322382 \nL 129.051685 193.939971 \nL 123.478451 188.756867 \nL 117.65508 182.704635 \nL 111.632098 175.728901 \nL 105.480848 167.799176 \nL 99.297039 158.920964 \nL 93.203733 149.149635 \nL 87.353201 138.604901 \nL 81.926702 127.483634 \nL 77.131303 116.067845 \nL 73.192676 104.723798 \nL 70.343244 93.888303 \nL 68.805566 84.039319 \nL 68.771859 75.65115 \nL 70.381912 69.138918 \nL 73.702708 64.801965 \nL 78.713854 62.778716 \nL 85.302442 63.025472 \nL 93.269569 65.325623 \nL 102.348017 69.328031 \nL 112.228107 74.604329 \nL 122.586906 80.710581 \nL 133.115558 87.239543 \nL 211.637296 137.160048 \nL 219.95222 142.799755 \nL 226.568694 147.534698 \nL 240.30524 157.638479 \nL 243.89983 159.808707 \nL 245.642644 160.669508 \nL 247.376276 161.375725 \nL 249.117398 161.922224 \nL 250.879953 162.30303 \nL 252.67529 162.511471 \nL 254.512271 162.540353 \nL 256.397336 162.382163 \nL 258.334517 162.029324 \nL 260.325434 161.47446 \nL 262.369233 160.710736 \nL 264.462526 159.732257 \nL 266.599256 158.534544 \nL 268.770619 157.115051 \nL 270.964921 155.473762 \nL 273.16748 153.613854 \nL 275.360576 151.54237 \nL 277.523438 149.270894 \nL 279.632296 146.816227 \nL 281.660604 144.200885 \nL 283.579313 141.453499 \nL 285.357382 138.608977 \nL 286.962399 135.708316 \nL 288.361427 132.798075 \nL 289.521998 129.929397 \nL 290.413275 127.156617 \nL 291.007323 124.535455 \nL 291.280399 122.120855 \nL 291.214273 119.96464 \nL 290.797328 118.11314 \nL 290.02552 116.60497 \nL 288.902974 115.469232 \nL 287.442218 114.724196 \nL 285.66398 114.376799 \nL 283.596566 114.422719 \nL 281.274841 114.847309 \nL 278.738886 115.627037 \nL 276.032441 116.73133 \nL 273.201254 118.124693 \nL 270.291428 119.768836 \nL 267.347916 121.624591 \nL 264.41321 123.6536 \nL 261.526286 125.819564 \nL 258.721872 128.089185 \nL 256.029959 130.432659 \nL 253.475636 132.823915 \nL 251.079122 135.240532 \nL 248.855999 137.663549 \nL 246.817591 140.077098 \nL 244.971416 142.467987 \nL 243.321726 144.825294 \nL 241.870022 147.139938 \nL 240.615607 149.404295 \nL 239.556068 151.611864 \nL 238.687753 153.756937 \nL 238.006166 155.834377 \nL 237.506334 157.839384 \nL 237.183105 159.767299 \nL 237.031391 161.613458 \nL 237.046367 163.37305 \nL 237.223635 165.040982 \nL 237.559312 166.611785 \nL 238.050121 168.079488 \nL 238.693418 169.437543 \nL 239.4872 170.678707 \nL 240.430086 171.794945 \nL 241.521258 172.777355 \nL 242.760393 173.616068 \nL 244.147556 174.300163 \nL 245.68306 174.817634 \nL 247.367316 175.155298 \nL 249.200621 175.298808 \nL 251.182938 175.232663 \nL 253.313599 174.940303 \nL 255.591014 174.404255 \nL 258.012276 173.60637 \nL 260.572749 172.528215 \nL 263.265591 171.151583 \nL 266.081242 169.459179 \nL 269.006833 167.435545 \nL 272.025622 165.06818 \nL 275.116364 162.34889 \nL 278.252742 159.275393 \nL 281.402856 155.853124 \nL 284.528838 152.097114 \nL 287.586643 148.033927 \nL 290.526177 143.703382 \nL 293.291705 139.159902 \nL 295.82281 134.473151 \nL 298.055789 129.72774 \nL 299.92567 125.021661 \nL 301.368765 120.463321 \nL 302.325694 116.167033 \nL 302.74475 112.247236 \nL 302.585309 108.81174 \nL 301.821002 105.954725 \nL 300.442359 103.750206 \nL 298.458472 102.24689 \nL 295.897518 101.465128 \nL 292.805954 101.396377 \nL 289.246404 102.005294 \nL 285.294411 103.234119 \nL 281.034442 105.008596 \nL 276.555453 107.244593 \nL 271.946568 109.85463 \nL 267.293128 112.753514 \nL 262.673491 115.862617 \nL 258.156696 119.112708 \nL 253.801039 122.445394 \nL 249.653476 125.813318 \nL 245.749777 129.179524 \nL 242.115186 132.51626 \nL 238.765489 135.803547 \nL 235.708291 139.027663 \nL 232.944385 142.179703 \nL 230.469098 145.254379 \nL 228.273579 148.248964 \nL 226.345941 151.162494 \nL 224.672276 153.995131 \nL 223.237496 156.747694 \nL 222.026044 159.421364 \nL 221.022449 162.017421 \nL 220.211769 164.537113 \nL 219.57992 166.981552 \nL 219.113912 169.351634 \nL 218.802016 171.648026 \nL 218.633867 173.871121 \nL 218.600517 176.021013 \nL 218.694461 178.09747 \nL 218.90962 180.099922 \nL 219.241324 182.027385 \nL 219.686272 183.878465 \nL 220.242484 185.651276 \nL 220.909256 187.343373 \nL 221.687109 188.951679 \nL 222.577737 190.472389 \nL 223.583964 191.900854 \nL 224.709696 193.231455 \nL 225.959874 194.45746 \nL 227.340432 195.570831 \nL 228.858234 196.562056 \nL 230.521028 197.419896 \nL 232.337357 198.131167 \nL 234.316482 198.680451 \nL 236.468248 199.049808 \nL 238.802928 199.218469 \nL 241.331023 199.162526 \nL 244.062981 198.854632 \nL 247.008847 198.263739 \nL 250.177806 197.354917 \nL 253.577601 196.089299 \nL 257.213803 194.424229 \nL 261.088904 192.313708 \nL 265.20122 189.709234 \nL 269.543537 186.561218 \nL 274.101581 182.821092 \nL 278.852209 178.444346 \nL 283.761458 173.39457 \nL 288.782438 167.648694 \nL 293.853334 161.203351 \nL 298.895566 154.082211 \nL 303.812552 146.343804 \nL 308.489369 138.088985 \nL 312.793834 129.466749 \nL 316.57941 120.676804 \nL 319.690419 111.967001 \nL 321.969774 103.623949 \nL 323.269059 95.955934 \nL 323.46046 89.26862 \nL 322.449275 83.835748 \nL 320.185448 79.869296 \nL 316.672126 77.494378 \nL 311.969547 76.734593 \nL 306.193043 77.511143 \nL 299.505097 79.656412 \nL 292.102463 82.938905 \nL 284.200351 87.094128 \nL 276.016084 91.854902 \nL 267.754532 96.976129 \nL 259.596929 102.251042 \nL 244.161977 112.663042 \nL 230.515302 122.316128 \nL 224.479618 126.765138 \nL 218.982504 130.956223 \nL 214.011758 134.899723 \nL 209.542686 138.611891 \nL 205.541906 142.111473 \nL 201.970497 145.417413 \nL 198.786505 148.547476 \nL 195.946861 151.517479 \nL 191.130881 157.029202 \nL 187.199995 162.034023 \nL 178.066829 174.373938 \nL 175.222135 177.604445 \nL 173.746866 179.040848 \nL 172.214796 180.350139 \nL 170.611234 181.524772 \nL 168.922472 182.555794 \nL 167.135681 183.432693 \nL 165.238827 184.143285 \nL 163.220667 184.673591 \nL 161.070753 185.007683 \nL 158.779517 185.127592 \nL 156.338411 185.013229 \nL 153.740121 184.642351 \nL 150.978866 183.990616 \nL 148.050768 183.03178 \nL 144.95435 181.738007 \nL 141.691131 180.080423 \nL 138.266315 178.029941 \nL 134.689622 175.558398 \nL 130.976214 172.640143 \nL 127.147682 169.254027 \nL 123.233091 165.385935 \nL 119.270027 161.031815 \nL 115.305483 156.201102 \nL 111.396571 150.920387 \nL 107.610788 145.237118 \nL 104.025757 139.222765 \nL 100.728198 132.975038 \nL 97.811922 126.618338 \nL 95.374754 120.301885 \nL 93.514307 114.19483 \nL 92.322718 108.478186 \nL 91.880596 103.333734 \nL 92.250743 98.930798 \nL 93.47221 95.412349 \nL 95.555544 92.882343 \nL 98.479928 91.39656 \nL 102.192774 90.958298 \nL 106.612051 91.519998 \nL 111.631142 92.9904 \nL 117.1257 95.245965 \nL 122.961629 98.144371 \nL 129.003227 101.538066 \nL 135.1206 105.285806 \nL 141.195616 109.261161 \nL 147.126157 113.357544 \nL 152.828439 117.490106 \nL 158.237726 121.595 \nL 163.307671 125.627161 \nL 168.00872 129.557127 \nL 172.325939 133.36767 \nL 176.256584 137.050666 \nL 179.807643 140.604328 \nL 182.993538 144.03104 \nL 185.83406 147.335673 \nL 188.35261 150.52437 \nL 190.574729 153.603746 \nL 192.526927 156.580336 \nL 194.235764 159.460328 \nL 195.727176 162.249352 \nL 197.025973 164.952484 \nL 199.137516 170.118468 \nL 200.736902 174.988222 \nL 201.962658 179.58515 \nL 203.339579 186.00914 \nL 206.75063 203.86326 \nL 207.559392 206.846123 \nL 208.493809 209.645605 \nL 209.590138 212.262115 \nL 210.888743 214.6921 \nL 212.436068 216.926568 \nL 214.286647 218.948911 \nL 215.345424 219.872521 \nL 216.505198 220.731775 \nL 217.776011 221.52083 \nL 219.168819 222.232507 \nL 220.695556 222.858028 \nL 222.369199 223.386702 \nL 224.203821 223.805575 \nL 226.214625 224.098998 \nL 228.417968 224.248126 \nL 230.831332 224.230349 \nL 233.473269 224.018643 \nL 236.363273 223.580843 \nL 239.521558 222.878834 \nL 242.968725 221.867726 \nL 246.725275 220.495004 \nL 250.810899 218.699763 \nL 255.243534 216.412125 \nL 260.038051 213.553 \nL 265.204552 210.034461 \nL 270.74616 205.761034 \nL 276.656218 200.632369 \nL 282.914861 194.547795 \nL 289.484907 187.413448 \nL 296.307155 179.152494 \nL 303.295227 169.719043 \nL 310.330461 159.115726 \nL 317.257369 147.414302 \nL 323.880811 134.777353 \nL 329.966121 121.477475 \nL 335.243783 107.908505 \nL 339.420343 94.582002 \nL 342.196423 82.102149 \nL 343.29206 71.115035 \nL 342.477348 62.234242 \nL 339.604324 55.953386 \nL 334.63423 52.564305 \nL 327.653318 52.103639 \nL 318.872212 54.345567 \nL 308.606981 58.845247 \nL 297.245224 65.021104 \nL 285.204064 72.251969 \nL 248.8119 95.078009 \nL 237.564773 101.925914 \nL 227.066508 108.11992 \nL 217.401405 113.628721 \nL 208.602128 118.472568 \nL 193.547653 126.379452 \nL 181.575393 132.347757 \nL 168.269068 138.689982 \nL 158.99391 142.877589 \nL 154.324146 144.803548 \nL 150.476424 146.166739 \nL 147.203864 147.031077 \nL 144.325563 147.436476 \nL 141.716141 147.410388 \nL 139.296293 146.976297 \nL 137.024736 146.160322 \nL 134.891331 144.996438 \nL 132.910999 143.530572 \nL 131.118017 141.823428 \nL 129.560198 139.951575 \nL 128.292672 138.006416 \nL 127.371108 136.090677 \nL 126.84466 134.312347 \nL 126.749034 132.776628 \nL 126.868756 132.129626 \nL 127.100505 131.576881 \nL 127.44258 131.126811 \nL 127.89167 130.786131 \nL 128.44288 130.55972 \nL 129.089768 130.450552 \nL 129.82447 130.459686 \nL 131.519634 130.827838 \nL 133.443289 131.637396 \nL 135.499817 132.838817 \nL 137.590415 134.366597 \nL 139.619967 136.146159 \nL 141.502496 138.099836 \nL 143.164823 140.151361 \nL 144.548357 142.228553 \nL 145.60931 144.264577 \nL 146.317747 146.19809 \nL 146.655989 147.972652 \nL 146.616847 149.535979 \nL 146.202039 150.8391 \nL 145.856439 151.378575 \nL 145.421049 151.835925 \nL 144.898177 152.205837 \nL 144.290586 152.483218 \nL 143.601524 152.663214 \nL 142.834729 152.741296 \nL 141.085665 152.57557 \nL 139.084996 151.959047 \nL 136.885347 150.875894 \nL 134.551996 149.326059 \nL 132.164056 147.330555 \nL 129.814733 144.936812 \nL 127.609885 142.223085 \nL 125.66443 139.300463 \nL 124.096008 136.310808 \nL 123.015995 133.419546 \nL 122.689537 132.065865 \nL 122.518463 130.802716 \nL 122.50991 129.65088 \nL 122.668537 128.629506 \nL 122.996276 127.755512 \nL 123.492172 127.043082 \nL 124.15227 126.503257 \nL 124.969662 126.14365 \nL 125.934596 125.968303 \nL 127.034684 125.977711 \nL 128.255219 126.16896 \nL 129.579555 126.536018 \nL 130.98955 127.070092 \nL 133.989242 128.593224 \nL 137.096955 130.631145 \nL 140.160458 133.063177 \nL 143.043809 135.76789 \nL 145.634405 138.631792 \nL 147.845835 141.553678 \nL 149.617246 144.445573 \nL 150.910282 147.231341 \nL 151.704852 149.844189 \nL 151.912822 151.066733 \nL 151.994667 152.223764 \nL 151.951108 153.308293 \nL 151.783281 154.313415 \nL 151.492681 155.232269 \nL 151.081101 156.05796 \nL 150.550621 156.783557 \nL 149.903588 157.402053 \nL 149.142647 157.906375 \nL 148.270766 158.289394 \nL 147.291289 158.543969 \nL 146.208014 158.662989 \nL 145.025285 158.639482 \nL 143.748099 158.466715 \nL 142.382222 158.138365 \nL 140.934329 157.648698 \nL 139.41215 156.992793 \nL 137.824601 156.166829 \nL 136.181952 155.168397 \nL 134.495948 153.996831 \nL 132.779933 152.653618 \nL 131.048944 151.142782 \nL 129.319777 149.471303 \nL 127.610974 147.649514 \nL 125.942764 145.691436 \nL 124.33694 143.615046 \nL 122.816605 141.442451 \nL 121.405854 139.199857 \nL 120.129316 136.917427 \nL 119.011613 134.62882 \nL 118.076698 132.370589 \nL 117.347127 130.181246 \nL 116.843264 128.100174 \nL 116.582443 126.166311 \nL 116.578222 124.416751 \nL 116.839628 122.885305 \nL 117.370593 121.601153 \nL 118.16954 120.587665 \nL 119.229197 119.861538 \nL 120.53665 119.432257 \nL 122.073646 119.301967 \nL 123.817134 119.465744 \nL 125.740019 119.912235 \nL 127.812075 120.624579 \nL 130.000935 121.581525 \nL 132.273159 122.758662 \nL 134.595233 124.129655 \nL 136.934508 125.667347 \nL 139.260002 127.344756 \nL 141.543056 129.135852 \nL 145.881516 132.963101 \nL 149.781079 136.977343 \nL 151.527636 139.010231 \nL 153.124219 141.040727 \nL 154.563378 143.056397 \nL 155.840027 145.046356 \nL 156.951107 147.000991 \nL 157.895255 148.911766 \nL 158.672469 150.770947 \nL 159.283806 152.571451 \nL 159.731111 154.306614 \nL 160.016754 155.970043 \nL 160.143436 157.555466 \nL 160.114005 159.056604 \nL 159.93132 160.467048 \nL 159.598146 161.78015 \nL 159.117086 162.988936 \nL 158.490535 164.086026 \nL 157.720682 165.063549 \nL 156.809522 165.913105 \nL 155.758907 166.625696 \nL 154.570624 167.191702 \nL 153.246502 167.600878 \nL 151.788553 167.84237 \nL 150.199123 167.904756 \nL 148.481094 167.776157 \nL 146.638103 167.44438 \nL 144.674806 166.897113 \nL 142.597159 166.122255 \nL 140.412734 165.108264 \nL 138.131043 163.844653 \nL 135.763911 162.322615 \nL 133.325826 160.535705 \nL 130.834292 158.480712 \nL 128.310155 156.1586 \nL 125.77785 153.57554 \nL 123.265598 150.743954 \nL 120.805461 147.683574 \nL 118.433212 144.422348 \nL 116.188016 140.997106 \nL 114.111843 137.453911 \nL 112.248611 133.847844 \nL 110.643016 130.24223 \nL 109.339081 126.707127 \nL 108.378427 123.317081 \nL 107.798375 120.148182 \nL 107.629974 117.274556 \nL 107.896082 114.764613 \nL 108.60971 112.677312 \nL 109.772724 111.058811 \nL 111.37512 109.939975 \nL 113.394949 109.334902 \nL 115.79895 109.240739 \nL 118.543841 109.638772 \nL 121.578209 110.496565 \nL 124.844802 111.770967 \nL 128.283039 113.411496 \nL 131.831534 115.363807 \nL 135.430441 117.572871 \nL 139.023469 119.985643 \nL 142.559457 122.552981 \nL 145.993485 125.230974 \nL 149.287504 127.981564 \nL 152.410546 130.77269 \nL 155.338559 133.577974 \nL 158.053986 136.37621 \nL 160.545131 139.150656 \nL 162.805407 141.888317 \nL 164.832549 144.579239 \nL 166.627789 147.215824 \nL 168.195104 149.792305 \nL 169.540496 152.304213 \nL 170.671362 154.74802 \nL 171.595934 157.120793 \nL 172.322828 159.419962 \nL 172.860644 161.6431 \nL 173.217665 163.787779 \nL 173.401604 165.85142 \nL 173.419427 167.831202 \nL 173.277217 169.723939 \nL 172.980084 171.526007 \nL 172.532116 173.233236 \nL 171.936351 174.840834 \nL 171.194785 176.343262 \nL 170.308394 177.734164 \nL 169.277183 179.006216 \nL 168.100248 180.15102 \nL 166.77586 181.158979 \nL 165.301569 182.019156 \nL 163.674322 182.719136 \nL 161.89063 183.244879 \nL 159.94673 183.580603 \nL 157.838819 183.708681 \nL 155.563307 183.60957 \nL 153.117147 183.261789 \nL 150.498198 182.641976 \nL 147.705694 181.725087 \nL 144.740765 180.484702 \nL 141.607063 178.893553 \nL 138.311477 176.924307 \nL 134.864955 174.550661 \nL 131.283375 171.748803 \nL 127.58853 168.499276 \nL 123.809107 164.78933 \nL 119.981641 160.615676 \nL 116.151377 155.987628 \nL 112.372887 150.930487 \nL 108.710364 145.48883 \nL 105.237325 139.729471 \nL 102.035695 133.743384 \nL 99.193964 127.646224 \nL 96.804387 121.576621 \nL 94.959142 115.691909 \nL 93.745531 110.160977 \nL 93.240483 105.154284 \nL 93.50477 100.832062 \nL 94.577533 97.331643 \nL 96.471798 94.755837 \nL 99.171623 93.164064 \nL 102.631467 92.56781 \nL 106.777971 92.931288 \nL 111.514094 94.177099 \nL 116.725142 96.195974 \nL 122.285973 98.858714 \nL 128.068475 102.02857 \nL 133.948567 105.572192 \nL 139.81199 109.367953 \nL 145.55856 113.311317 \nL 151.104733 117.317263 \nL 156.384628 121.320252 \nL 161.34972 125.272544 \nL 165.967602 129.141611 \nL 170.22011 132.907107 \nL 174.101131 136.557966 \nL 177.614346 140.089838 \nL 180.771043 143.502904 \nL 183.588138 146.800232 \nL 186.086447 149.986536 \nL 188.289227 153.067305 \nL 190.220989 156.048219 \nL 191.90657 158.93479 \nL 193.370407 161.732179 \nL 194.636018 164.445086 \nL 195.725632 167.077732 \nL 197.458025 172.116921 \nL 198.713037 176.87526 \nL 199.609161 181.373316 \nL 200.239881 185.628197 \nL 200.840449 191.586316 \nL 201.172082 197.073418 \nL 201.396777 205.273755 \nL 201.40004 213.741925 \nL 201.200417 222.014346 \nL 200.840228 227.944881 \nL 200.449884 231.387354 \nL 199.872508 234.4662 \nL 199.262775 236.555069 \nL 198.441071 238.464773 \nL 197.738868 239.639913 \nL 196.879919 240.735223 \nL 195.828245 241.746504 \nL 194.539507 242.665561 \nL 192.959097 243.478271 \nL 191.019843 244.161689 \nL 188.639291 244.679656 \nL 185.716589 244.976236 \nL 182.129069 244.965921 \nL 180.040854 244.807445 \nL 177.72884 244.51921 \nL 175.170157 244.074735 \nL 172.340127 243.441733 \nL 169.212335 242.580966 \nL 165.758796 241.444944 \nL 161.950279 239.976464 \nL 157.75684 238.107059 \nL 153.148614 235.755406 \nL 148.097015 232.825872 \nL 142.5764 229.207434 \nL 136.566405 224.773352 \nL 130.055079 219.382166 \nL 123.04303 212.880821 \nL 115.54871 205.110977 \nL 107.615023 195.919804 \nL 99.317151 185.176725 \nL 90.771482 172.797376 \nL 82.144856 158.775387 \nL 73.663018 143.220944 \nL 65.61631 126.402241 \nL 58.359775 108.781884 \nL 52.304307 91.035663 \nL 47.895501 74.037366 \nL 45.577945 58.794713 \nL 45.745842 46.329865 \nL 48.685422 37.516422 \nL 54.519884 32.90795 \nL 63.171183 32.610353 \nL 74.352039 36.247335 \nL 87.594526 43.039168 \nL 102.310571 51.970854 \nL 133.671403 72.182295 \nL 149.205507 81.852402 \nL 164.077424 90.562231 \nL 178.015502 98.091906 \nL 190.858236 104.385664 \nL 202.532833 109.494108 \nL 213.031601 113.526816 \nL 222.390472 116.618966 \nL 230.671589 118.910667 \nL 237.950366 120.535653 \nL 244.306549 121.616234 \nL 249.818501 122.261818 \nL 254.559907 122.569259 \nL 258.598192 122.624005 \nL 261.994084 122.501353 \nL 267.070494 121.980754 \nL 271.758189 121.269145 \nL 271.620266 121.478253 \nL 269.673367 123.05356 \nL 266.128085 126.005772 \nL 263.301715 128.60711 \nL 260.371222 131.579539 \nL 257.52832 134.799792 \nL 254.926773 138.15213 \nL 252.681973 141.534273 \nL 250.874137 144.858713 \nL 249.553862 148.051016 \nL 248.748688 151.046636 \nL 248.543159 152.452354 \nL 248.469503 153.787399 \nL 248.527387 155.044934 \nL 248.716051 156.218149 \nL 249.034408 157.300157 \nL 249.481106 158.283943 \nL 250.054571 159.162303 \nL 250.753038 159.927813 \nL 251.574532 160.572807 \nL 252.516837 161.089373 \nL 253.577442 161.469359 \nL 254.75347 161.704417 \nL 256.041563 161.786071 \nL 257.437763 161.70581 \nL 258.937368 161.455251 \nL 260.534765 161.026295 \nL 262.22325 160.411396 \nL 263.994828 159.60382 \nL 265.840007 158.59804 \nL 267.747593 157.390116 \nL 269.704497 155.978194 \nL 271.695543 154.363035 \nL 273.703333 152.548568 \nL 275.708116 150.542494 \nL 277.687781 148.356842 \nL 279.617916 146.008507 \nL 281.471936 143.519652 \nL 283.221414 140.917981 \nL 284.836494 138.236749 \nL 286.286506 135.514546 \nL 287.54071 132.794692 \nL 288.569215 130.124278 \nL 289.344 127.552889 \nL 289.840029 125.130915 \nL 290.036376 122.907675 \nL 289.917343 120.929345 \nL 289.473392 119.236924 \nL 288.70191 117.864359 \nL 287.607687 116.837029 \nL 286.20306 116.170741 \nL 284.50766 115.871264 \nL 282.547832 115.934495 \nL 280.355721 116.347242 \nL 277.96807 117.088502 \nL 275.42485 118.131042 \nL 272.767803 119.443195 \nL 270.039018 120.99068 \nL 267.279592 122.738266 \nL 264.528481 124.65122 \nL 261.821566 126.696438 \nL 259.190988 128.84327 \nL 256.664711 131.064015 \nL 254.266341 133.334149 \nL 252.015132 135.632318 \nL 249.926167 137.940194 \nL 248.010672 140.242192 \nL 246.276407 142.525151 \nL 244.728119 144.777956 \nL 243.368013 146.99119 \nL 242.196214 149.156796 \nL 241.211224 151.267766 \nL 240.410329 153.317863 \nL 239.789973 155.301388 \nL 239.346082 157.212966 \nL 239.074342 159.047384 \nL 238.97043 160.799414 \nL 239.030187 162.463698 \nL 239.249774 164.034604 \nL 239.625759 165.506125 \nL 240.155199 166.871795 \nL 240.835649 168.124553 \nL 241.665182 169.256685 \nL 242.642345 170.259739 \nL 243.766113 171.124419 \nL 245.035794 171.840549 \nL 246.450917 172.396993 \nL 248.011094 172.781636 \nL 249.715836 172.98137 \nL 251.564347 172.982122 \nL 253.555279 172.768947 \nL 255.686437 172.326157 \nL 257.954455 171.637576 \nL 260.35442 170.686841 \nL 262.879464 169.457889 \nL 265.520295 167.935568 \nL 268.264697 166.106405 \nL 271.097039 163.959581 \nL 273.997742 161.488106 \nL 276.942779 158.69017 \nL 279.90324 155.570625 \nL 282.845011 152.14264 \nL 285.728602 148.429276 \nL 288.509236 144.464961 \nL 291.137204 140.296648 \nL 293.558613 135.98444 \nL 295.716566 131.601431 \nL 297.552836 127.232554 \nL 299.009949 122.972299 \nL 300.033737 118.921194 \nL 300.576127 115.181154 \nL 300.59809 111.850006 \nL 300.072419 109.015618 \nL 298.986098 106.750244 \nL 297.341998 105.105784 \nL 295.159647 104.110557 \nL 292.474913 103.768065 \nL 289.338594 104.05787 \nL 285.814024 104.93846 \nL 281.973859 106.351647 \nL 277.896443 108.227892 \nL 273.662036 110.491814 \nL 269.349263 113.067278 \nL 265.032033 115.88162 \nL 260.777171 118.868712 \nL 256.642733 121.970817 \nL 252.67713 125.139408 \nL 248.918859 128.335121 \nL 245.396821 131.527065 \nL 242.131021 134.691786 \nL 239.133547 137.812091 \nL 236.409709 140.875795 \nL 233.959194 143.874628 \nL 231.777239 146.803239 \nL 229.855694 149.658391 \nL 228.183995 152.438315 \nL 226.749996 155.142182 \nL 225.540699 157.769735 \nL 224.542824 160.321035 \nL 223.743294 162.796226 \nL 223.1296 165.19542 \nL 222.690079 167.518583 \nL 222.414121 169.765466 \nL 222.292304 171.935549 \nL 222.31649 174.027969 \nL 222.479869 176.041503 \nL 222.776979 177.974494 \nL 223.203706 179.824797 \nL 223.757252 181.589721 \nL 224.436109 183.265942 \nL 225.240011 184.849417 \nL 226.169889 186.335285 \nL 227.227813 187.717737 \nL 228.416937 188.989874 \nL 229.74143 190.143573 \nL 231.206406 191.169293 \nL 232.817845 192.055882 \nL 234.582487 192.790378 \nL 236.507716 193.357764 \nL 238.60142 193.740741 \nL 240.871789 193.919485 \nL 243.327102 193.871416 \nL 245.975418 193.570995 \nL 248.824218 192.989574 \nL 251.879938 192.09535 \nL 255.147393 190.853448 \nL 258.629078 189.226214 \nL 262.324311 187.173793 \nL 266.228228 184.6551 \nL 270.33057 181.629292 \nL 274.61433 178.05784 \nL 279.054236 173.907376 \nL 283.61513 169.153344 \nL 288.250325 163.784566 \nL 292.90007 157.808528 \nL 297.490324 151.257307 \nL 301.932097 144.193545 \nL 306.121645 136.715762 \nL 309.941898 128.962051 \nL 313.265404 121.110811 \nL 315.959157 113.377248 \nL 317.891239 106.004643 \nL 318.939263 99.249877 \nL 318.999909 93.363978 \nL 317.998713 88.56952 \nL 315.898822 85.038152 \nL 312.707286 82.872153 \nL 308.477662 82.093844 \nL 303.308208 82.644982 \nL 297.33557 84.396729 \nL 290.724783 87.167886 \nL 283.65696 90.747721 \nL 276.316513 94.918974 \nL 268.879425 99.477373 \nL 261.504002 104.245291 \nL 254.324584 109.078935 \nL 247.448407 113.869992 \nL 240.955119 118.543002 \nL 234.898393 123.050373 \nL 229.308836 127.366417 \nL 224.197623 131.481488 \nL 219.560296 135.396858 \nL 215.38042 139.120596 \nL 211.632853 142.66444 \nL 208.28654 146.041643 \nL 205.306811 149.26552 \nL 202.657203 152.348552 \nL 200.30085 155.301943 \nL 198.201511 158.135426 \nL 194.636128 163.474066 \nL 191.705321 168.413785 \nL 183.553543 182.871865 \nL 181.197388 186.193767 \nL 179.93947 187.708166 \nL 178.611278 189.118465 \nL 177.200557 190.41848 \nL 175.695319 191.600731 \nL 174.083737 192.65628 \nL 172.354072 193.574545 \nL 170.494623 194.343075 \nL 168.493709 194.947319 \nL 166.339703 195.370384 \nL 164.021121 195.592766 \nL 161.526733 195.592095 \nL 158.845798 195.342908 \nL 155.968331 194.816439 \nL 152.885516 193.98052 \nL 149.590204 192.799602 \nL 146.077567 191.234942 \nL 142.345916 189.245107 \nL 138.397692 186.786809 \nL 134.240644 183.816277 \nL 129.889211 180.291231 \nL 125.366081 176.173639 \nL 120.703903 171.433339 \nL 115.947054 166.052667 \nL 111.153366 160.031965 \nL 106.39557 153.395843 \nL 101.762278 146.199764 \nL 97.358123 138.53621 \nL 93.302684 130.539417 \nL 89.727827 122.387272 \nL 86.773135 114.298991 \nL 84.579239 106.527208 \nL 83.279176 99.343767 \nL 82.988247 93.019606 \nL 83.793355 87.80049 \nL 85.743097 83.881992 \nL 88.840215 81.388011 \nL 93.037775 80.357032 \nL 98.240196 80.739462 \nL 104.309193 82.406702 \nL 111.074075 85.170032 \nL 118.344813 88.805373 \nL 125.925999 93.078941 \nL 133.629803 97.769306 \nL 141.286411 102.683237 \nL 148.751178 107.664193 \nL 155.90834 112.594496 \nL 162.671727 117.392645 \nL 168.983129 122.007764 \nL 174.809183 126.413059 \nL 180.137457 130.599239 \nL 184.972313 134.568835 \nL 189.330961 138.331631 \nL 193.23992 141.901229 \nL 196.732 145.292668 \nL 199.843837 148.520868 \nL 202.613953 151.599679 \nL 205.081267 154.541407 \nL 209.25898 160.054173 \nL 212.662737 165.123448 \nL 216.856776 171.978632 \nL 220.560349 177.980262 \nL 223.026715 181.500719 \nL 225.644937 184.611206 \nL 227.046996 186.000954 \nL 228.528766 187.27181 \nL 230.1029 188.415682 \nL 231.781658 189.422984 \nL 233.576989 190.282434 \nL 235.500567 190.980859 \nL 237.563792 191.503005 \nL 239.77774 191.831304 \nL 242.153069 191.94568 \nL 244.699847 191.823357 \nL 247.427307 191.438714 \nL 250.34352 190.763206 \nL 253.454954 189.765403 \nL 256.765917 188.411188 \nL 260.277869 186.664191 \nL 263.988571 184.48652 \nL 267.891092 181.839929 \nL 271.972626 178.687462 \nL 276.213186 174.99575 \nL 280.584175 170.737999 \nL 285.046874 165.897792 \nL 289.551017 160.473585 \nL 294.033531 154.483866 \nL 298.417657 147.972575 \nL 302.612744 141.014332 \nL 306.514969 133.718613 \nL 310.00932 126.231944 \nL 312.973105 118.736858 \nL 315.281139 111.446693 \nL 316.812626 104.595387 \nL 317.459381 98.422298 \nL 317.134744 93.15323 \nL 315.782277 88.979755 \nL 313.382956 86.039959 \nL 309.959737 84.404095 \nL 305.578432 84.068149 \nL 300.344577 84.956686 \nL 294.396369 86.934426 \nL 287.894722 89.824338 \nL 281.011746 93.428525 \nL 273.919229 97.548202 \nL 266.778535 101.999894 \nL 259.732868 106.626174 \nL 252.902289 111.300936 \nL 246.381478 115.929847 \nL 240.239777 120.447522 \nL 234.522955 124.81287 \nL 229.256031 129.00375 \nL 224.446644 133.011874 \nL 220.08853 136.838354 \nL 216.164806 140.49017 \nL 212.650913 143.97749 \nL 209.517121 147.311833 \nL 206.730583 150.504803 \nL 204.256966 153.567337 \nL 202.061699 156.509321 \nL 200.110893 159.339402 \nL 196.814164 164.69221 \nL 194.128663 169.671123 \nL 190.80666 176.499999 \nL 187.845843 182.601961 \nL 185.855095 186.268243 \nL 183.724822 189.600578 \nL 182.57717 191.134691 \nL 181.359221 192.57546 \nL 180.059766 193.917682 \nL 178.667644 195.155 \nL 177.171647 196.279728 \nL 175.56043 197.282671 \nL 173.822455 198.152905 \nL 171.945952 198.877528 \nL 169.918921 199.441381 \nL 167.729172 199.826754 \nL 165.364402 200.013082 \nL 162.812345 199.976609 \nL 160.060983 199.690072 \nL 157.098852 199.122438 \nL 153.915457 198.238678 \nL 150.501801 196.999685 \nL 146.851093 195.362382 \nL 142.959623 193.280105 \nL 138.827848 190.70341 \nL 134.461701 187.581396 \nL 129.874179 183.863794 \nL 125.087103 179.503907 \nL 120.133152 174.46265 \nL 115.057976 168.713784 \nL 109.922346 162.250377 \nL 104.804052 155.09228 \nL 99.799325 147.294248 \nL 95.023342 138.953827 \nL 90.609331 130.217723 \nL 86.705839 121.28503 \nL 83.471666 112.405263 \nL 81.068168 103.869577 \nL 79.64905 95.993787 \nL 79.348184 89.093828 \nL 80.2666 83.455573 \nL 82.460362 79.303512 \nL 85.931299 76.773985 \nL 90.622467 75.898743 \nL 96.41972 76.602969 \nL 103.159485 78.718349 \nL 110.641802 82.008618 \nL 118.64665 86.201506 \nL 126.950898 91.020675 \nL 135.34359 96.211969 \nL 143.637726 101.560676 \nL 159.342919 112.108708 \nL 173.234715 121.862657 \nL 184.975382 130.563146 \nL 190.035493 134.523232 \nL 194.584819 138.244277 \nL 198.657516 141.746081 \nL 202.293411 145.048552 \nL 205.535424 148.170276 \nL 208.427591 151.127751 \nL 213.335819 156.603851 \nL 217.34744 161.560959 \nL 226.704492 173.688006 \nL 229.629037 176.819539 \nL 231.146312 178.1997 \nL 232.721884 179.447648 \nL 234.37043 180.555342 \nL 236.105569 181.51328 \nL 237.939944 182.310405 \nL 239.885296 182.933977 \nL 241.952457 183.369453 \nL 244.151321 183.600401 \nL 246.490744 183.608408 \nL 248.978368 183.373067 \nL 251.620387 182.871993 \nL 254.421221 182.080977 \nL 257.3831 180.974249 \nL 260.505553 179.524935 \nL 263.784782 177.705735 \nL 267.212948 175.489886 \nL 270.777356 172.852507 \nL 274.459539 169.772302 \nL 278.234304 166.233739 \nL 282.068804 162.22969 \nL 285.921617 157.764429 \nL 289.74207 152.856975 \nL 293.469814 147.544482 \nL 297.034874 141.885361 \nL 300.358351 135.961711 \nL 303.35391 129.880418 \nL 305.930215 123.772346 \nL 307.994414 117.789088 \nL 309.456636 112.096796 \nL 310.235286 106.867239 \nL 310.262788 102.266474 \nL 309.49132 98.442242 \nL 307.897744 95.511674 \nL 305.487153 93.551194 \nL 302.294387 92.590214 \nL 298.383143 92.609799 \nL 293.842656 93.546597 \nL 288.782282 95.301301 \nL 283.324579 97.750064 \nL 277.597812 100.757039 \nL 271.728658 104.186007 \nL 265.835875 107.909873 \nL 260.025467 111.817092 \nL 254.38747 115.815193 \nL 248.9944 119.831478 \nL 243.901111 123.811917 \nL 239.145747 127.718752 \nL 234.751421 131.527569 \nL 230.728349 135.224297 \nL 227.076101 138.802474 \nL 223.785844 142.260904 \nL 220.842413 145.601852 \nL 218.226141 148.829608 \nL 215.914415 151.949511 \nL 213.88297 154.967262 \nL 212.106908 157.888516 \nL 210.561491 160.718615 \nL 209.222741 163.462445 \nL 208.067852 166.124434 \nL 206.225887 171.218241 \nL 204.884725 176.026738 \nL 203.920578 180.571346 \nL 203.235182 184.869737 \nL 202.568762 190.888281 \nL 202.180852 196.430752 \nL 201.860585 204.713641 \nL 201.633265 218.237251 \nL 201.353522 230.263786 \nL 201.054813 234.947102 \nL 200.629696 238.30009 \nL 200.098276 240.665267 \nL 199.532094 242.269406 \nL 198.763288 243.734826 \nL 198.102382 244.635328 \nL 197.290216 245.472869 \nL 196.29143 246.243212 \nL 195.062323 246.93845 \nL 193.548926 247.545189 \nL 191.684656 248.041774 \nL 189.387528 248.394087 \nL 186.556908 248.549195 \nL 183.069893 248.425814 \nL 178.77758 247.900119 \nL 176.274978 247.43114 \nL 173.501865 246.784993 \nL 170.431189 245.923557 \nL 167.034119 244.800481 \nL 163.280314 243.359671 \nL 159.138379 241.533613 \nL 154.576588 239.24165 \nL 149.563987 236.388279 \nL 144.071954 232.861764 \nL 138.076433 228.533375 \nL 131.560945 223.257816 \nL 124.520662 216.875654 \nL 116.967636 209.21879 \nL 108.937479 200.120383 \nL 100.497425 189.430819 \nL 91.755654 177.041285 \nL 82.871376 162.915973 \nL 74.064524 147.132461 \nL 65.623078 129.927073 \nL 57.905354 111.737659 \nL 51.333472 93.23097 \nL 46.374115 75.297191 \nL 43.503697 58.993345 \nL 43.157727 45.424973 \nL 45.669158 35.574024 \nL 51.206449 30.106904 \nL 59.726993 29.219717 \nL 70.961519 32.579523 \nL 84.438577 39.392428 \nL 99.546168 48.579568 \nL 132.001579 69.636498 \nL 148.152077 79.726581 \nL 163.637583 88.778594 \nL 178.161383 96.547267 \nL 191.546222 102.970581 \nL 203.710964 108.105087 \nL 214.644647 112.072751 \nL 224.382866 115.023793 \nL 232.988747 117.113846 \nL 240.538922 118.491776 \nL 247.113992 119.294353 \nL 252.792575 119.644723 \nL 257.648012 119.652875 \nL 261.746962 119.416749 \nL 265.149237 119.023398 \nL 267.90842 118.549898 \nL 271.687309 117.624054 \nL 273.641206 117.030705 \nL 273.462497 117.179863 \nL 269.676602 119.842193 \nL 266.518973 122.342788 \nL 262.945682 125.46123 \nL 259.24304 129.034229 \nL 255.652308 132.899263 \nL 252.362264 136.911249 \nL 249.508952 140.949366 \nL 247.181077 144.916809 \nL 246.231093 146.849338 \nL 245.428833 148.736555 \nL 244.776202 150.571008 \nL 244.273934 152.345758 \nL 243.921863 154.054244 \nL 243.719152 155.690124 \nL 243.664508 157.247154 \nL 243.756346 158.719043 \nL 243.992939 160.099358 \nL 244.372508 161.381442 \nL 244.893314 162.558305 \nL 245.553693 163.622566 \nL 246.352066 164.566362 \nL 247.286925 165.381312 \nL 248.356797 166.058477 \nL 249.56016 166.58833 \nL 250.895352 166.960763 \nL 252.360428 167.16512 \nL 253.95302 167.190233 \nL 255.670131 167.024567 \nL 257.507927 166.656364 \nL 259.461491 166.073866 \nL 261.524528 165.265624 \nL 263.689089 164.220905 \nL 265.945222 162.930183 \nL 268.280662 161.38574 \nL 270.680471 159.582381 \nL 273.126732 157.518279 \nL 275.598242 155.195886 \nL 278.070309 152.622908 \nL 280.514599 149.813308 \nL 282.899148 146.788277 \nL 285.188514 143.576996 \nL 287.344171 140.217224 \nL 289.325132 136.75547 \nL 291.088828 133.246668 \nL 292.592309 129.753272 \nL 293.79368 126.343658 \nL 294.653769 123.089849 \nL 295.137973 120.064605 \nL 295.218093 117.338078 \nL 294.87413 114.97425 \nL 294.095776 113.027442 \nL 292.883528 111.539386 \nL 291.249254 110.536981 \nL 289.21614 110.031131 \nL 286.817982 110.016827 \nL 284.097831 110.474246 \nL 281.106151 111.371003 \nL 277.898627 112.664939 \nL 274.53375 114.307348 \nL 271.07047 116.246243 \nL 267.566012 118.429212 \nL 264.074016 120.805856 \nL 260.643106 123.329573 \nL 257.315886 125.958724 \nL 254.128393 128.657165 \nL 251.109926 131.394365 \nL 248.283219 134.145117 \nL 245.66487 136.889024 \nL 243.265941 139.609887 \nL 241.092672 142.295015 \nL 239.147228 144.934548 \nL 237.42848 147.520864 \nL 235.932718 150.048042 \nL 234.654325 152.511416 \nL 233.586378 154.907192 \nL 232.721169 157.232149 \nL 232.050643 159.48339 \nL 231.566765 161.658156 \nL 231.261821 163.753651 \nL 231.128637 165.766946 \nL 231.160765 167.69481 \nL 231.3526 169.533664 \nL 231.69947 171.279447 \nL 232.197678 172.927538 \nL 232.844523 174.472639 \nL 233.63829 175.908709 \nL 234.578225 177.228808 \nL 235.664477 178.425026 \nL 236.898026 179.48833 \nL 238.28059 180.408457 \nL 239.814516 181.17377 \nL 241.502642 181.771144 \nL 243.348113 182.185847 \nL 245.354195 182.401415 \nL 247.524029 182.399621 \nL 249.860331 182.16041 \nL 252.365049 181.661976 \nL 255.038953 180.880889 \nL 257.881139 179.792378 \nL 260.888477 178.370775 \nL 264.054941 176.590189 \nL 267.370871 174.425446 \nL 270.822163 171.853374 \nL 274.389378 168.854439 \nL 278.04682 165.414799 \nL 281.761621 161.528762 \nL 285.492942 157.201618 \nL 289.191282 152.452713 \nL 292.798164 147.318541 \nL 296.246183 141.855599 \nL 299.45972 136.142527 \nL 302.356336 130.281057 \nL 304.849128 124.395167 \nL 306.849964 118.627989 \nL 308.273659 113.136132 \nL 309.042905 108.0814 \nL 309.093583 103.620445 \nL 308.380052 99.893231 \nL 306.879724 97.011761 \nL 304.596378 95.050683 \nL 301.561625 94.041305 \nL 297.834206 93.970093 \nL 293.497057 94.781881 \nL 288.652394 96.387274 \nL 283.415444 98.672831 \nL 277.907506 101.512449 \nL 272.249175 104.778194 \nL 266.554346 108.349262 \nL 260.925508 112.118329 \nL 255.450581 115.995112 \nL 250.201228 119.907526 \nL 245.232519 123.800963 \nL 240.583647 127.636286 \nL 236.279372 131.38729 \nL 232.331928 135.037952 \nL 228.743109 138.579891 \nL 225.506368 142.010166 \nL 222.608774 145.329487 \nL 220.032788 148.540837 \nL 217.757771 151.648461 \nL 215.76125 154.65718 \nL 214.019949 157.571932 \nL 212.510583 160.397485 \nL 211.210468 163.138291 \nL 210.097958 165.798408 \nL 209.152751 168.381494 \nL 207.690812 173.329356 \nL 206.694293 178.004247 \nL 206.058996 182.424384 \nL 205.704927 186.605027 \nL 205.573234 190.559289 \nL 205.622884 194.298689 \nL 205.8276 197.83339 \nL 206.173282 201.172292 \nL 206.656023 204.32294 \nL 207.280726 207.29131 \nL 208.060287 210.081436 \nL 209.015303 212.694835 \nL 210.174251 215.129635 \nL 211.574096 217.379313 \nL 213.261313 219.430837 \nL 215.293272 221.261996 \nL 216.459851 222.084563 \nL 217.739942 222.837507 \nL 219.14458 223.513459 \nL 220.685833 224.103403 \nL 222.376865 224.596373 \nL 224.231981 224.979059 \nL 226.266665 225.235377 \nL 228.497592 225.345955 \nL 230.942608 225.287526 \nL 233.620667 225.032263 \nL 236.551682 224.547018 \nL 239.756314 223.792497 \nL 243.255611 222.722379 \nL 247.070496 221.28246 \nL 251.221036 219.409842 \nL 255.725435 217.032352 \nL 260.59868 214.068318 \nL 265.850751 210.426991 \nL 271.48429 206.009961 \nL 277.491708 200.71401 \nL 283.851553 194.436038 \nL 290.524237 187.080621 \nL 297.447125 178.570945 \nL 304.529201 168.863548 \nL 311.645763 157.966889 \nL 318.633887 145.962963 \nL 325.289688 133.029767 \nL 331.368837 119.460677 \nL 336.592029 105.674815 \nL 340.656953 92.211151 \nL 343.257953 79.699392 \nL 344.112932 68.803895 \nL 342.995599 60.143762 \nL 339.768193 54.201246 \nL 334.408515 51.239386 \nL 327.024157 51.252545 \nL 317.849069 53.966914 \nL 307.221259 58.893439 \nL 295.545758 65.418009 \nL 283.250612 72.902602 \nL 246.464535 95.955336 \nL 235.188045 102.749528 \nL 224.695458 108.853096 \nL 215.06146 114.248064 \nL 206.310354 118.964661 \nL 191.377993 126.601984 \nL 179.535135 132.302342 \nL 166.406047 138.266272 \nL 157.287269 142.111926 \nL 152.720295 143.834126 \nL 148.983494 145.017543 \nL 145.837601 145.731502 \nL 143.108113 146.022306 \nL 140.674404 145.924417 \nL 138.459923 145.468468 \nL 136.423802 144.687202 \nL 134.553625 143.619848 \nL 132.859046 142.315189 \nL 131.365894 140.833217 \nL 130.110401 139.245238 \nL 129.133345 137.632104 \nL 128.474113 136.080637 \nL 128.164939 134.678354 \nL 128.225681 133.50713 \nL 128.39654 133.03057 \nL 128.659679 132.636588 \nL 129.01252 132.331035 \nL 129.451251 132.118372 \nL 129.970857 132.001582 \nL 131.227061 132.060217 \nL 132.720331 132.501751 \nL 134.377834 133.300013 \nL 136.119966 134.411885 \nL 137.865875 135.782228 \nL 139.53841 137.348862 \nL 141.068071 139.046871 \nL 142.395655 140.811787 \nL 143.473583 142.581735 \nL 144.266161 144.298509 \nL 144.749021 145.907892 \nL 144.908125 147.359556 \nL 144.738673 148.606777 \nL 144.244128 149.606234 \nL 143.43557 150.318048 \nL 142.331466 150.706272 \nL 140.957906 150.739981 \nL 139.349216 150.395002 \nL 137.548851 149.656426 \nL 135.610312 148.521756 \nL 133.597858 147.004606 \nL 131.586574 145.138452 \nL 129.661378 142.97981 \nL 127.914588 140.609985 \nL 126.441622 138.134315 \nL 125.334907 135.678007 \nL 124.676156 133.378223 \nL 124.535294 132.330403 \nL 124.527918 131.372661 \nL 124.65754 130.52008 \nL 124.925552 129.786093 \nL 125.331138 129.182113 \nL 125.871196 128.717252 \nL 126.540358 128.398087 \nL 127.33107 128.22855 \nL 128.233744 128.209923 \nL 129.236969 128.34088 \nL 130.327763 128.61768 \nL 132.714296 129.583154 \nL 135.270696 131.038039 \nL 137.870548 132.894366 \nL 140.393493 135.054862 \nL 142.732753 137.421467 \nL 144.799759 139.901093 \nL 146.525945 142.408686 \nL 147.862229 144.867992 \nL 148.776906 147.210868 \nL 149.252802 149.37573 \nL 149.284302 151.305773 \nL 149.134176 152.16589 \nL 148.874824 152.947345 \nL 148.507781 153.64371 \nL 148.03497 154.248646 \nL 147.458694 154.755855 \nL 146.78165 155.159143 \nL 146.006947 155.452417 \nL 145.138153 155.62973 \nL 144.179358 155.685382 \nL 143.135222 155.613965 \nL 142.011065 155.410513 \nL 140.812959 155.070611 \nL 139.547807 154.590591 \nL 136.848767 153.200355 \nL 133.989523 151.233108 \nL 131.064576 148.708733 \nL 128.188575 145.682258 \nL 125.495237 142.251436 \nL 123.132896 138.56093 \nL 122.124177 136.67602 \nL 121.255898 134.800373 \nL 120.546143 132.963007 \nL 120.011549 131.193887 \nL 119.66672 129.523144 \nL 119.523673 127.98012 \nL 119.591324 126.592388 \nL 119.875019 125.38484 \nL 120.376194 124.378778 \nL 121.092133 123.591197 \nL 122.015903 123.034231 \nL 123.136443 122.714828 \nL 124.438816 122.63472 \nL 125.904607 122.790577 \nL 127.512475 123.174451 \nL 129.238783 123.774346 \nL 131.058289 124.574966 \nL 132.944898 125.558487 \nL 134.872345 126.705384 \nL 138.747786 129.407174 \nL 142.494261 132.516747 \nL 145.951466 135.881715 \nL 148.995753 139.369531 \nL 151.540576 142.869694 \nL 153.532496 146.291681 \nL 154.311902 147.949504 \nL 154.944717 149.560699 \nL 155.430572 151.117574 \nL 155.769881 152.612834 \nL 155.963669 154.039444 \nL 156.013404 155.390502 \nL 155.920873 156.659153 \nL 155.688068 157.838486 \nL 155.317111 158.921451 \nL 154.810211 159.900811 \nL 154.169629 160.769063 \nL 153.397691 161.518406 \nL 152.496809 162.140722 \nL 151.469545 162.627569 \nL 150.318671 162.970181 \nL 149.047298 163.15955 \nL 147.658988 163.186458 \nL 146.157906 163.041615 \nL 144.549001 162.715811 \nL 142.838195 162.200142 \nL 141.032602 161.48626 \nL 139.140754 160.566714 \nL 137.17284 159.435377 \nL 135.140956 158.0879 \nL 133.05931 156.522283 \nL 130.944462 154.739483 \nL 128.815485 152.744073 \nL 126.694075 150.544921 \nL 124.604588 148.155843 \nL 122.573977 145.59623 \nL 120.63158 142.891474 \nL 118.808794 140.073244 \nL 117.13851 137.179496 \nL 115.654429 134.254097 \nL 114.390147 131.346078 \nL 113.378103 128.508426 \nL 112.648355 125.79645 \nL 112.2273 123.265803 \nL 112.13639 120.970164 \nL 112.390888 118.95886 \nL 112.998841 117.274522 \nL 113.960332 115.951072 \nL 115.267022 115.012121 \nL 116.902177 114.470057 \nL 118.841086 114.325873 \nL 121.051909 114.569655 \nL 123.496881 115.18182 \nL 126.133772 116.134802 \nL 128.917523 117.395071 \nL 131.801944 118.925304 \nL 134.741271 120.686383 \nL 137.691617 122.639258 \nL 140.612143 124.7464 \nL 143.465956 126.972895 \nL 146.220706 129.287146 \nL 148.848915 131.661218 \nL 151.328031 134.070923 \nL 153.640278 136.495657 \nL 155.77235 138.918093 \nL 157.71498 141.323807 \nL 159.462437 143.700836 \nL 161.011992 146.039285 \nL 162.363378 148.330875 \nL 163.51828 150.568615 \nL 164.479837 152.746474 \nL 165.252219 154.859085 \nL 165.840238 156.901517 \nL 166.249027 158.869081 \nL 166.483757 160.757143 \nL 166.54942 162.560997 \nL 166.450658 164.275703 \nL 166.191625 165.896015 \nL 165.775912 167.416216 \nL 165.206479 168.83007 \nL 164.485639 170.130687 \nL 163.615072 171.310431 \nL 162.595861 172.360849 \nL 161.428548 173.272542 \nL 160.113231 174.035129 \nL 158.649688 174.637126 \nL 157.03751 175.06592 \nL 155.276303 175.307729 \nL 153.365884 175.34759 \nL 151.306545 175.169423 \nL 149.099358 174.756146 \nL 146.746503 174.089867 \nL 144.251681 173.152198 \nL 141.620559 171.92468 \nL 138.861266 170.389415 \nL 135.984939 168.52984 \nL 133.006321 166.331756 \nL 129.944347 163.784583 \nL 126.822764 160.882837 \nL 123.670666 157.62784 \nL 120.522966 154.029575 \nL 117.420695 150.108633 \nL 114.411058 145.898082 \nL 111.547179 141.445023 \nL 108.887407 136.811634 \nL 106.494188 132.075384 \nL 104.432298 127.328127 \nL 102.766584 122.67383 \nL 101.559141 118.224829 \nL 100.866061 114.096616 \nL 100.73404 110.401496 \nL 101.196992 107.241568 \nL 102.273095 104.701821 \nL 103.962608 102.844187 \nL 106.246754 101.703339 \nL 109.087834 101.284901 \nL 112.430741 101.566247 \nL 116.205669 102.499849 \nL 120.331809 104.018512 \nL 124.721629 106.041882 \nL 129.285337 108.483056 \nL 133.935068 111.254828 \nL 138.588471 114.274655 \nL 143.171517 117.468215 \nL 147.620364 120.771557 \nL 151.882358 124.131825 \nL 155.916215 127.507004 \nL 159.691599 130.864965 \nL 163.188216 134.182099 \nL 166.394618 137.441795 \nL 169.306873 140.632978 \nL 171.927175 143.748772 \nL 174.262527 146.785329 \nL 176.323517 149.740951 \nL 178.123235 152.615346 \nL 179.676348 155.409095 \nL 180.998318 158.123258 \nL 182.104777 160.759126 \nL 183.011028 163.318004 \nL 183.731661 165.8011 \nL 184.280275 168.209445 \nL 184.669278 170.543853 \nL 184.909757 172.804869 \nL 185.011397 174.992777 \nL 184.982452 177.107524 \nL 184.82973 179.148734 \nL 184.558624 181.115674 \nL 184.173135 183.007189 \nL 183.675913 184.821672 \nL 183.068317 186.557014 \nL 182.35045 188.210505 \nL 181.521217 189.778763 \nL 180.578374 191.257633 \nL 179.518565 192.642066 \nL 178.33738 193.925975 \nL 177.029392 195.102078 \nL 175.588209 196.161716 \nL 174.006527 197.094643 \nL 172.276194 197.888799 \nL 170.388293 198.530037 \nL 168.333246 199.001863 \nL 166.100949 199.28511 \nL 163.680946 199.357638 \nL 161.062663 199.194027 \nL 158.235723 198.765275 \nL 155.190332 198.03858 \nL 151.917786 196.977195 \nL 148.411129 195.540442 \nL 144.665931 193.683982 \nL 140.681316 191.360409 \nL 136.461138 188.52033 \nL 132.015433 185.114066 \nL 127.362089 181.094124 \nL 122.528704 176.418695 \nL 117.554648 171.056206 \nL 112.493149 164.991106 \nL 107.413278 158.230692 \nL 102.401569 150.812825 \nL 97.562926 142.813734 \nL 93.020425 134.355028 \nL 88.913486 125.608337 \nL 85.393995 116.795929 \nL 82.619974 108.185271 \nL 80.746746 100.076345 \nL 79.915869 92.781087 \nL 80.242734 86.596309 \nL 81.804144 81.77338 \nL 84.627808 78.489503 \nL 88.685579 76.826535 \nL 93.892051 76.761954 \nL 100.109256 78.174576 \nL 107.157041 80.863874 \nL 114.827596 84.57846 \nL 122.901923 89.047703 \nL 131.165741 94.010356 \nL 139.422754 99.235795 \nL 147.504119 104.536343 \nL 162.629353 114.842951 \nL 175.849997 124.290339 \nL 181.658396 128.626925 \nL 186.930346 132.707766 \nL 191.684271 136.54655 \nL 195.949335 140.16117 \nL 199.761912 143.570852 \nL 203.162722 146.794284 \nL 206.194587 149.84853 \nL 211.323606 155.50677 \nL 215.480274 160.637217 \nL 220.532188 167.461666 \nL 224.886855 173.304218 \nL 227.724007 176.645405 \nL 229.181665 178.140092 \nL 230.68788 179.510435 \nL 232.257944 180.749556 \nL 233.906083 181.849183 \nL 235.645583 182.799593 \nL 237.48887 183.58943 \nL 239.447569 184.205628 \nL 241.532502 184.633234 \nL 243.753632 184.855321 \nL 246.119965 184.852886 \nL 248.639366 184.604814 \nL 251.318306 184.087872 \nL 254.161522 183.276862 \nL 257.171584 182.144841 \nL 260.348359 180.663587 \nL 263.68836 178.804294 \nL 267.183988 176.538536 \nL 270.822674 173.839633 \nL 274.585903 170.684466 \nL 278.448208 167.055712 \nL 282.376135 162.94464 \nL 286.327292 158.3543 \nL 290.249547 153.303098 \nL 294.080552 147.828459 \nL 297.747739 141.990231 \nL 301.169004 135.873375 \nL 304.254222 129.589264 \nL 306.907781 123.274946 \nL 309.032286 117.089732 \nL 310.533294 111.208635 \nL 311.32497 105.812779 \nL 311.336277 101.077144 \nL 310.517078 97.156953 \nL 308.843433 94.174416 \nL 306.321406 92.20787 \nL 302.988607 91.285136 \nL 298.913167 91.382359 \nL 294.190047 92.428632 \nL 288.935118 94.315439 \nL 283.277706 96.909257 \nL 277.352489 100.065134 \nL 271.291764 103.639193 \nL 265.218799 107.49851 \nL 259.242822 111.527748 \nL 253.455821 115.63242 \nL 247.931103 119.739348 \nL 242.723339 123.795084 \nL 237.869724 127.763159 \nL 233.39189 131.620827 \nL 229.298225 135.355801 \nL 225.586296 138.963346 \nL 222.245216 142.443873 \nL 219.257811 145.801014 \nL 216.602504 149.040228 \nL 214.254917 152.167805 \nL 212.18917 155.190229 \nL 210.378908 158.113756 \nL 208.798092 160.944197 \nL 207.42157 163.686823 \nL 206.22549 166.346325 \nL 204.287164 171.432117 \nL 202.825472 176.229377 \nL 201.710506 180.760074 \nL 200.466071 187.094498 \nL 197.089149 206.224802 \nL 196.325075 209.090379 \nL 195.434907 211.781232 \nL 194.384759 214.298049 \nL 193.136206 216.63781 \nL 191.644465 218.792388 \nL 189.856499 220.746498 \nL 187.708973 222.4747 \nL 186.477233 223.242329 \nL 185.126075 223.937066 \nL 183.6437 224.550641 \nL 182.017252 225.072949 \nL 180.232752 225.491716 \nL 178.275055 225.792076 \nL 176.127823 225.95608 \nL 173.77352 225.962136 \nL 171.193456 225.784353 \nL 168.367889 225.391813 \nL 165.276207 224.747752 \nL 161.897213 223.808694 \nL 158.209565 222.523542 \nL 154.192413 220.83274 \nL 149.826274 218.667519 \nL 145.094235 215.949489 \nL 139.983564 212.590717 \nL 134.48781 208.494641 \nL 128.609467 203.558246 \nL 122.363339 197.67603 \nL 115.780579 190.74642 \nL 108.913435 182.681291 \nL 101.840518 173.41923 \nL 94.672293 162.942803 \nL 87.556183 151.299424 \nL 80.680332 138.624315 \nL 74.274747 125.162317 \nL 68.608168 111.283385 \nL 63.978919 97.484731 \nL 60.698347 84.372001 \nL 59.06642 72.613874 \nL 59.340726 62.869649 \nL 61.702563 55.698513 \nL 66.226085 51.468267 \nL 72.857458 50.288045 \nL 81.410524 51.986371 \nL 91.58181 56.144328 \nL 102.982961 62.1753 \nL 115.183925 69.427544 \nL 164.18743 99.938911 \nL 175.086554 106.344948 \nL 185.140444 112.027618 \nL 194.30653 117.002746 \nL 202.585159 121.320918 \nL 216.623684 128.260269 \nL 227.696792 133.399935 \nL 236.350459 137.209223 \nL 245.931022 141.147767 \nL 250.687949 142.899105 \nL 254.538792 144.104081 \nL 257.736267 144.84323 \nL 260.466278 145.171144 \nL 262.859286 145.12836 \nL 265.000622 144.749758 \nL 266.939413 144.070534 \nL 268.696222 143.130455 \nL 270.269709 141.97673 \nL 271.642658 140.665457 \nL 272.787685 139.261644 \nL 273.672788 137.837648 \nL 274.266731 136.470125 \nL 274.544206 135.235627 \nL 274.490321 134.205358 \nL 274.104113 133.439814 \nL 273.790458 133.171115 \nL 272.93927 132.881489 \nL 271.82407 132.933963 \nL 270.498193 133.325271 \nL 269.025375 134.034035 \nL 267.475406 135.023845 \nL 265.919579 136.24726 \nL 264.426479 137.649886 \nL 263.058525 139.173983 \nL 261.869572 140.761407 \nL 260.903535 142.355546 \nL 260.193931 143.902544 \nL 259.764124 145.351815 \nL 259.627945 146.656244 \nL 259.790511 147.77214 \nL 260.248923 148.659268 \nL 260.992782 149.281122 \nL 262.004377 149.605482 \nL 263.258541 149.605508 \nL 264.722222 149.261375 \nL 266.353889 148.562455 \nL 268.102989 147.510046 \nL 269.909626 146.120307 \nL 271.704866 144.427176 \nL 273.411996 142.484615 \nL 274.949007 140.367458 \nL 276.23249 138.170169 \nL 277.183059 136.00282 \nL 277.731825 133.984039 \nL 277.827333 132.231522 \nL 277.695401 131.488947 \nL 277.441933 130.851105 \nL 277.067951 130.327652 \nL 276.576409 129.926295 \nL 275.972158 129.652657 \nL 275.261892 129.510165 \nL 274.454007 129.500013 \nL 273.558427 129.621255 \nL 271.550208 130.244076 \nL 269.338282 131.333748 \nL 267.031848 132.823488 \nL 264.73969 134.632998 \nL 262.562781 136.676311 \nL 260.589006 138.867927 \nL 258.890158 141.12673 \nL 257.52109 143.377997 \nL 256.520464 145.553796 \nL 255.91257 147.59235 \nL 255.709547 149.436945 \nL 255.913551 151.034707 \nL 256.166571 151.725296 \nL 256.518487 152.335581 \nL 256.967425 152.859667 \nL 257.511093 153.291776 \nL 258.146755 153.626296 \nL 258.871231 153.857816 \nL 259.680849 153.981177 \nL 260.571401 153.991525 \nL 261.53809 153.884416 \nL 263.677386 153.30273 \nL 266.046143 152.213323 \nL 268.57807 150.608972 \nL 271.19128 148.504274 \nL 273.787378 145.942276 \nL 276.252187 143.00054 \nL 278.459034 139.794804 \nL 280.275186 136.478328 \nL 280.995974 134.835176 \nL 281.571687 133.23503 \nL 281.988891 131.703361 \nL 282.236058 130.265455 \nL 282.304005 128.945645 \nL 282.186304 127.766577 \nL 281.879595 126.748475 \nL 281.38384 125.908472 \nL 280.70246 125.260103 \nL 279.84235 124.812895 \nL 278.813786 124.572163 \nL 277.630179 124.538992 \nL 276.307731 124.710409 \nL 274.864992 125.079706 \nL 273.322353 125.636885 \nL 271.701467 126.369258 \nL 270.024697 127.262008 \nL 266.593043 129.462545 \nL 263.199895 132.100497 \nL 259.998524 135.038627 \nL 257.114593 138.150789 \nL 254.642997 141.326755 \nL 252.648973 144.472805 \nL 251.172064 147.509628 \nL 250.231455 150.368932 \nL 249.964065 151.712787 \nL 249.831504 152.989804 \nL 249.832799 154.19296 \nL 249.966594 155.31529 \nL 250.231232 156.349841 \nL 250.624823 157.28957 \nL 251.145269 158.127334 \nL 251.790291 158.855836 \nL 252.557408 159.467591 \nL 253.44391 159.954959 \nL 254.446798 160.31014 \nL 255.562713 160.525221 \nL 256.787831 160.592255 \nL 258.117751 160.503338 \nL 259.547354 160.250788 \nL 261.070651 159.827292 \nL 262.680622 159.22615 \nL 264.369018 158.44156 \nL 266.126204 157.468933 \nL 267.940956 156.305297 \nL 269.800293 154.949719 \nL 271.689323 153.403781 \nL 273.59112 151.672096 \nL 275.486666 149.762817 \nL 277.354822 147.688119 \nL 279.172418 145.46464 \nL 280.91441 143.113827 \nL 282.5542 140.662091 \nL 284.064035 138.1408 \nL 285.415569 135.586006 \nL 286.580582 133.037867 \nL 287.531773 130.539776 \nL 288.243705 128.137147 \nL 288.693809 125.875951 \nL 288.863351 123.801031 \nL 288.738416 121.9543 \nL 288.310719 120.37296 \nL 287.578275 119.087894 \nL 286.545787 118.122343 \nL 285.224746 117.491029 \nL 283.633228 117.199721 \nL 281.795373 117.245418 \nL 279.740555 117.616962 \nL 277.502356 118.296101 \nL 275.117342 119.258867 \nL 272.623809 120.477113 \nL 270.06047 121.920069 \nL 267.465313 123.555839 \nL 264.874517 125.352677 \nL 262.321638 127.280037 \nL 259.836947 129.309328 \nL 257.44703 131.41442 \nL 255.174576 133.571899 \nL 253.03835 135.761131 \nL 251.053319 137.964145 \nL 249.230903 140.165468 \nL 247.579313 142.35182 \nL 246.103929 144.51182 \nL 244.807721 146.635693 \nL 243.691654 148.714937 \nL 242.755103 150.742074 \nL 241.996227 152.710381 \nL 241.41231 154.613679 \nL 241.000059 156.446123 \nL 240.75587 158.202032 \nL 240.67603 159.875741 \nL 240.756914 161.461472 \nL 240.995094 162.953202 \nL 241.387459 164.344565 \nL 241.931253 165.62876 \nL 242.624118 166.798446 \nL 243.464091 167.84566 \nL 244.449563 168.761763 \nL 245.579229 169.537346 \nL 246.85199 170.162209 \nL 248.266839 170.62531 \nL 249.82271 170.914756 \nL 251.5183 171.01784 \nL 253.351853 170.921105 \nL 255.320915 170.610459 \nL 257.422042 170.071378 \nL 259.650485 169.28918 \nL 261.999816 168.249409 \nL 264.461541 166.938367 \nL 267.024658 165.34374 \nL 269.67524 163.455404 \nL 272.395939 161.266412 \nL 275.165592 158.774105 \nL 277.958792 155.981399 \nL 280.745609 152.898127 \nL 283.491388 149.542422 \nL 286.156765 145.942028 \nL 288.697911 142.13539 \nL 291.067065 138.172313 \nL 293.213458 134.114116 \nL 295.084598 130.03296 \nL 296.627933 126.010275 \nL 297.792946 122.134201 \nL 298.533476 118.496032 \nL 298.810247 115.185819 \nL 298.593337 112.287499 \nL 297.864455 109.873907 \nL 296.618677 108.002276 \nL 294.865578 106.710784 \nL 292.629445 106.016452 \nL 289.948584 105.914838 \nL 286.873733 106.381451 \nL 283.465678 107.374679 \nL 279.792337 108.839784 \nL 275.925522 110.713517 \nL 271.937712 112.928682 \nL 267.899112 115.418305 \nL 263.875154 118.118916 \nL 259.924579 120.972923 \nL 256.098176 123.930032 \nL 252.438123 126.947799 \nL 248.977879 129.991518 \nL 245.742521 133.033638 \nL 242.749382 136.052892 \nL 240.008938 139.033302 \nL 237.525791 141.96317 \nL 235.299688 144.834172 \nL 233.326524 147.640516 \nL 231.599275 150.378272 \nL 230.108833 153.044815 \nL 228.844746 155.638394 \nL 227.79584 158.157788 \nL 226.950731 160.602055 \nL 226.29825 162.970352 \nL 225.827772 165.261788 \nL 225.529458 167.475304 \nL 225.394449 169.60961 \nL 225.414988 171.663082 \nL 225.584507 173.633713 \nL 225.89767 175.519033 \nL 226.35039 177.316051 \nL 226.939825 179.021161 \nL 227.664357 180.630057 \nL 228.523548 182.137621 \nL 229.518096 183.537836 \nL 230.649776 184.823646 \nL 231.921365 185.986795 \nL 233.336568 187.017689 \nL 234.899911 187.905226 \nL 236.616637 188.636608 \nL 238.492572 189.197145 \nL 240.533946 189.570061 \nL 242.747205 189.736312 \nL 245.138751 189.674427 \nL 247.714637 189.360367 \nL 250.480191 188.767497 \nL 253.439552 187.866578 \nL 256.595101 186.62603 \nL 259.946787 185.01228 \nL 263.49132 182.990466 \nL 267.221234 180.525486 \nL 271.123792 177.583468 \nL 275.179809 174.133839 \nL 279.362308 170.151964 \nL 283.635212 165.622505 \nL 287.951998 160.543378 \nL 292.254581 154.930297 \nL 296.472512 148.821593 \nL 300.522716 142.28283 \nL 304.310092 135.410624 \nL 307.72915 128.334813 \nL 310.666982 121.217979 \nL 313.007715 114.251413 \nL 314.638457 107.646847 \nL 315.456449 101.623856 \nL 315.376987 96.393683 \nL 314.341285 92.141169 \nL 312.323277 89.007252 \nL 309.334293 87.075022 \nL 305.424722 86.362045 \nL 300.682187 86.820387 \nL 295.22615 88.344622 \nL 289.199746 90.78607 \nL 282.759796 93.970555 \nL 276.066385 97.716466 \nL 269.273304 101.850395 \nL 262.520285 106.218519 \nL 255.92755 110.693129 \nL 249.592853 115.174796 \nL 243.590681 119.591096 \nL 237.973207 123.893238 \nL 232.772422 128.051639 \nL 228.002974 132.05133 \nL 223.665254 135.887807 \nL 219.74846 139.563523 \nL 216.233414 143.085167 \nL 213.095024 146.461645 \nL 210.304375 149.702696 \nL 207.830408 152.817994 \nL 205.641245 155.816613 \nL 203.705199 158.706747 \nL 201.991503 161.495591 \nL 199.115542 166.793311 \nL 196.800569 171.74888 \nL 193.990992 178.59775 \nL 190.752394 186.714434 \nL 189.105374 190.349165 \nL 187.321208 193.695898 \nL 185.320365 196.740231 \nL 184.214489 198.141618 \nL 183.025291 199.456915 \nL 181.742754 200.68069 \nL 180.356532 201.806315 \nL 178.855881 202.825775 \nL 177.229595 203.729449 \nL 175.465962 204.505841 \nL 173.552744 205.141303 \nL 171.477178 205.619699 \nL 169.22603 205.922043 \nL 166.785683 206.02611 \nL 164.142276 205.906018 \nL 161.281951 205.531799 \nL 158.191153 204.869015 \nL 154.857077 203.878389 \nL 151.268259 202.515599 \nL 147.415331 200.731228 \nL 143.292023 198.471049 \nL 138.896379 195.676744 \nL 134.232291 192.287279 \nL 129.311328 188.241121 \nL 124.154906 183.479578 \nL 118.796739 177.9515 \nL 113.285505 171.619546 \nL 107.687606 164.468149 \nL 102.089736 156.512986 \nL 96.600887 147.811506 \nL 91.353363 138.473423 \nL 86.502028 128.669546 \nL 82.221245 118.636662 \nL 78.69877 108.675587 \nL 76.126183 99.139991 \nL 74.685969 90.41403 \nL 74.535887 82.879519 \nL 75.792254 76.875514 \nL 78.514575 72.657077 \nL 82.694171 70.361249 \nL 88.249507 69.988679 \nL 95.029777 71.405916 \nL 102.826682 74.368356 \nL 111.392736 78.558373 \nL 120.462905 83.629494 \nL 129.775998 89.247121 \nL 139.092734 95.118768 \nL 156.960052 106.754328 \nL 172.931157 117.398592 \nL 186.501838 126.678605 \nL 197.636473 134.642987 \nL 206.577654 141.494386 \nL 213.695847 147.445875 \nL 219.392909 152.665769 \nL 224.049253 157.267353 \nL 231.527703 164.837736 \nL 234.864989 167.83051 \nL 236.522488 169.120677 \nL 238.199747 170.266421 \nL 239.914404 171.260862 \nL 241.682109 172.095824 \nL 243.516655 172.761804 \nL 245.430062 173.248019 \nL 247.432627 173.54242 \nL 249.532929 173.63173 \nL 251.737754 173.501542 \nL 254.051986 173.136458 \nL 256.478419 172.520337 \nL 259.017529 171.636585 \nL 261.667156 170.468625 \nL 264.42214 169.000495 \nL 267.273898 167.217619 \nL 270.209982 165.107776 \nL 273.213568 162.662278 \nL 276.262998 159.877364 \nL 279.331311 156.75576 \nL 282.385917 153.308404 \nL 285.388378 149.556162 \nL 288.294436 145.531512 \nL 291.054299 141.279878 \nL 293.613357 136.860545 \nL 295.913313 132.346706 \nL 297.8938 127.824605 \nL 299.49453 123.391386 \nL 300.657884 119.151655 \nL 301.331882 115.212769 \nL 301.473285 111.679128 \nL 301.05066 108.645868 \nL 300.04705 106.192663 \nL 298.461967 104.378367 \nL 296.312449 103.237212 \nL 293.632943 102.77699 \nL 290.474062 102.979655 \nL 286.900146 103.80409 \nL 282.985999 105.190668 \nL 278.813023 107.066913 \nL 274.465196 109.353444 \nL 270.025223 111.96965 \nL 265.571173 114.838252 \nL 261.173827 117.888857 \nL 256.894839 121.059986 \nL 252.785693 124.300089 \nL 248.887381 127.567458 \nL 245.230697 130.829555 \nL 241.836967 134.061882 \nL 238.719079 137.24664 \nL 235.882676 140.371457 \nL 233.327423 143.428121 \nL 231.048226 146.41153 \nL 229.03638 149.318805 \nL 227.280602 152.148596 \nL 225.767924 154.900544 \nL 224.484446 157.574871 \nL 223.415966 160.172099 \nL 222.548473 162.692843 \nL 221.868537 165.137675 \nL 221.3636 167.50703 \nL 221.022192 169.801124 \nL 220.834069 172.019912 \nL 220.790314 174.163053 \nL 220.883375 176.229856 \nL 221.10709 178.219251 \nL 221.456679 180.129735 \nL 221.92872 181.959325 \nL 222.52111 183.705476 \nL 223.233029 185.365026 \nL 224.064885 186.934104 \nL 225.018269 188.407992 \nL 226.0959 189.781053 \nL 227.301567 191.046543 \nL 228.64008 192.196477 \nL 230.117193 193.221445 \nL 231.739539 194.110392 \nL 233.51454 194.850413 \nL 235.450295 195.426493 \nL 237.555454 195.821266 \nL 239.839038 196.014728 \nL 242.310223 195.983984 \nL 244.978058 195.703006 \nL 247.851116 195.14243 \nL 250.93703 194.269453 \nL 254.241931 193.047841 \nL 257.769745 191.438158 \nL 261.521333 189.398264 \nL 265.493445 186.884211 \nL 269.677484 183.851626 \nL 274.058099 180.257795 \nL 278.611537 176.06448 \nL 283.303927 171.241679 \nL 288.089447 165.772381 \nL 292.908593 159.658225 \nL 297.686679 152.925923 \nL 302.332929 145.633946 \nL 306.740365 137.878749 \nL 310.787007 129.799439 \nL 314.338671 121.579457 \nL 317.253785 113.443812 \nL 319.39033 105.650582 \nL 320.614745 98.475874 \nL 320.812314 92.192933 \nL 319.898021 87.047217 \nL 317.826462 83.231 \nL 314.59927 80.861994 \nL 310.268571 79.970347 \nL 304.935491 80.497047 \nL 298.743611 82.304233 \nL 291.868189 85.195376 \nL 284.502647 88.940774 \nL 276.84442 93.303583 \nL 269.081978 98.061709 \nL 261.384554 103.023148 \nL 253.895262 108.033857 \nL 246.727688 112.97925 \nL 233.664381 122.391194 \nL 227.855189 126.7855 \nL 222.548156 130.956607 \nL 217.736998 134.908541 \nL 213.402905 138.652137 \nL 209.518073 142.201706 \nL 206.048683 145.572723 \nL 202.95734 148.780339 \nL 200.204969 151.838506 \nL 197.752265 154.759547 \nL 193.593455 160.230503 \nL 190.194186 165.256558 \nL 180.978245 179.740127 \nL 178.392544 182.990176 \nL 177.022761 184.452922 \nL 175.583055 185.799904 \nL 174.060286 187.023883 \nL 172.441822 188.116214 \nL 170.715441 189.066675 \nL 168.869272 189.863287 \nL 166.891761 190.492132 \nL 164.771692 190.937144 \nL 162.49825 191.179901 \nL 160.061153 191.199447 \nL 157.450842 190.972118 \nL 154.658756 190.471436 \nL 151.67771 189.668108 \nL 148.502364 188.530123 \nL 145.129842 187.023046 \nL 141.560465 185.110605 \nL 137.798647 182.755596 \nL 133.853948 179.921217 \nL 129.742276 176.57298 \nL 125.487225 172.681261 \nL 121.121493 168.224544 \nL 116.688317 163.193447 \nL 112.242806 157.595379 \nL 107.852971 151.459673 \nL 103.600311 144.842802 \nL 99.579608 137.833034 \nL 95.897678 130.553661 \nL 92.670798 123.163796 \nL 90.020549 115.855644 \nL 88.068051 108.84732 \nL 86.926667 102.370857 \nL 86.693651 96.655819 \nL 87.441541 91.909947 \nL 89.210228 88.299557 \nL 92.001006 85.932653 \nL 95.773602 84.848116 \nL 100.446946 85.01315 \nL 105.903887 86.329644 \nL 111.999253 88.648201 \nL 118.570261 91.786903 \nL 125.447816 95.551475 \nL 132.467189 99.753233 \nL 139.476979 104.22275 \nL 146.345585 108.818114 \nL 152.964962 113.428124 \nL 159.251917 117.971442 \nL 165.147381 122.393151 \nL 170.614281 126.659934 \nL 175.634562 130.755011 \nL 180.20586 134.673406 \nL 184.338192 138.41801 \nL 188.050872 141.996477 \nL 191.369802 145.418926 \nL 194.325197 148.696378 \nL 196.94973 151.839711 \nL 199.277082 154.859085 \nL 201.340835 157.763591 \nL 203.17367 160.56116 \nL 206.269697 165.861494 \nL 208.792225 170.801794 \nL 211.917543 177.594568 \nL 214.711981 183.685593 \nL 216.596439 187.36012 \nL 218.617378 190.715578 \nL 220.865999 193.731675 \nL 222.10291 195.102616 \nL 223.429256 196.374929 \nL 224.855922 197.541706 \nL 226.39399 198.594627 \nL 228.054806 199.523752 \nL 229.850028 200.31728 \nL 231.791643 200.961279 \nL 233.891951 201.439376 \nL 236.163508 201.732445 \nL 238.619025 201.818256 \nL 241.271188 201.671132 \nL 244.132413 201.261598 \nL 247.214506 200.556098 \nL 250.528182 199.516776 \nL 254.082468 198.101406 \nL 257.883916 196.263552 \nL 261.935612 193.95307 \nL 266.235959 191.117063 \nL 270.777216 187.701476 \nL 275.543735 183.653558 \nL 280.510008 178.925297 \nL 285.638433 173.478138 \nL 290.877012 167.288968 \nL 296.157088 160.357478 \nL 301.391372 152.714551 \nL 306.472672 144.431124 \nL 311.273706 135.626414 \nL 315.648583 126.474009 \nL 319.436514 117.203788 \nL 322.468187 108.097499 \nL 324.574979 99.476143 \nL 325.600818 91.678401 \nL 325.41583 85.031179 \nL 323.93029 79.815567 \nL 321.106775 76.233784 \nL 316.968394 74.383908 \nL 311.601119 74.248148 \nL 305.149225 75.697975 \nL 297.804224 78.515154 \nL 289.788876 82.423843 \nL 281.338885 87.126495 \nL 272.685128 92.33652 \nL 264.038776 97.802358 \nL 247.456404 108.742766 \nL 232.604061 118.93079 \nL 219.945457 127.996295 \nL 214.465411 132.10077 \nL 209.528312 135.940469 \nL 205.101758 139.536931 \nL 201.146055 142.912494 \nL 197.617253 146.088409 \nL 194.469496 149.083755 \nL 189.134144 154.595658 \nL 184.789816 159.54698 \nL 174.805216 171.480728 \nL 171.744962 174.496402 \nL 170.168013 175.808564 \nL 168.537342 176.98142 \nL 166.837906 178.006622 \nL 165.055961 178.874387 \nL 163.178971 179.573401 \nL 161.195558 180.090736 \nL 159.095501 180.411806 \nL 156.869798 180.520291 \nL 154.510778 180.39816 \nL 152.012276 180.025711 \nL 149.369906 179.381699 \nL 146.581386 178.443602 \nL 143.646968 177.188016 \nL 140.569947 175.591244 \nL 137.357258 173.630141 \nL 134.020164 171.283224 \nL 130.575004 168.532113 \nL 127.043969 165.363351 \nL 123.455918 161.770528 \nL 119.847088 157.756798 \nL 116.261694 153.337602 \nL 112.752289 148.543469 \nL 109.379741 143.422618 \nL 106.212736 138.043065 \nL 103.326598 132.493762 \nL 100.801402 126.884269 \nL 98.719201 121.342553 \nL 97.160465 116.010578 \nL 96.199796 111.037535 \nL 95.901151 106.571162 \nL 96.313031 102.747613 \nL 97.464079 99.681183 \nL 99.359632 97.455183 \nL 101.979751 96.115328 \nL 105.27914 95.666796 \nL 109.189029 96.075338 \nL 113.620931 97.272445 \nL 118.471873 99.163387 \nL 123.630472 101.637117 \nL 128.983212 104.576145 \nL 134.420241 107.865508 \nL 139.840213 111.399526 \nL 145.153852 115.086324 \nL 150.286153 118.849948 \nL 155.177307 122.630585 \nL 159.782534 126.383417 \nL 164.071122 130.076649 \nL 168.0249 133.68915 \nL 171.636429 137.208095 \nL 174.907098 140.626835 \nL 177.84524 143.943089 \nL 180.464421 147.157489 \nL 182.781903 150.272487 \nL 184.817346 153.291528 \nL 186.591725 156.218525 \nL 188.12646 159.057476 \nL 189.442746 161.812252 \nL 190.561036 164.486469 \nL 191.500681 167.083423 \nL 192.279675 169.606098 \nL 193.420072 174.439015 \nL 194.09495 179.003354 \nL 194.391775 183.313579 \nL 194.374502 187.381209 \nL 194.086166 191.215229 \nL 193.55158 194.822095 \nL 192.779696 198.205481 \nL 191.765444 201.36563 \nL 190.490933 204.298314 \nL 188.926039 206.993289 \nL 188.021949 208.246253 \nL 187.028406 209.432046 \nL 185.938124 210.546541 \nL 184.742973 211.584625 \nL 183.433945 212.540021 \nL 182.001124 213.405077 \nL 180.43365 214.170522 \nL 178.719702 214.825172 \nL 176.846477 215.35558 \nL 174.800203 215.745671 \nL 172.56616 215.976273 \nL 170.128756 216.024628 \nL 167.471639 215.863841 \nL 164.577881 215.462262 \nL 161.430266 214.782867 \nL 158.011686 213.782641 \nL 154.305685 212.412003 \nL 150.29723 210.614382 \nL 145.973699 208.32604 \nL 141.32619 205.476314 \nL 136.351198 201.988519 \nL 131.052691 197.781771 \nL 125.444684 192.774109 \nL 119.554292 186.887338 \nL 113.425235 180.054037 \nL 107.12169 172.227029 \nL 100.73227 163.391558 \nL 94.373692 153.579812 \nL 88.193497 142.886903 \nL 82.37106 131.48629 \nL 77.115724 119.641562 \nL 72.660993 107.710318 \nL 69.253797 96.135374 \nL 67.138378 85.419368 \nL 66.535268 76.08126 \nL 67.617354 68.598017 \nL 70.486217 63.340415 \nL 75.153259 60.516657 \nL 81.530172 60.138601 \nL 89.4317 62.021136 \nL 98.591505 65.816196 \nL 108.688498 71.072516 \nL 119.378516 77.305145 \nL 130.325527 84.057912 \nL 171.432031 109.994234 \nL 188.241875 120.310054 \nL 217.831173 138.350891 \nL 228.946282 145.508979 \nL 241.263654 153.656835 \nL 245.045613 155.836214 \nL 246.820927 156.705705 \nL 248.550775 157.426833 \nL 250.254654 157.996966 \nL 251.948937 158.412601 \nL 253.64707 158.669569 \nL 255.359738 158.763236 \nL 257.094988 158.688743 \nL 258.858336 158.441201 \nL 260.652825 158.015996 \nL 262.479058 157.409034 \nL 264.335214 156.617104 \nL 266.217047 155.638223 \nL 268.117844 154.472032 \nL 270.028429 153.120248 \nL 271.937149 151.587127 \nL 273.829897 149.879906 \nL 275.690166 148.009292 \nL 277.499172 145.989836 \nL 279.236047 143.840286 \nL 280.878118 141.583799 \nL 282.401304 139.247964 \nL 283.780614 136.864672 \nL 284.99076 134.46969 \nL 286.006884 132.101992 \nL 286.805386 129.802823 \nL 287.364793 127.61448 \nL 287.666696 125.578892 \nL 287.69662 123.736091 \nL 287.444832 122.122615 \nL 286.90701 120.770002 \nL 286.084723 119.703486 \nL 284.98565 118.94101 \nL 283.62355 118.492648 \nL 282.017925 118.36046 \nL 280.193466 118.538798 \nL 278.17919 119.015041 \nL 276.007472 119.770622 \nL 273.712937 120.782298 \nL 271.331291 122.023547 \nL 268.898249 123.465871 \nL 266.448486 125.080082 \nL 264.014792 126.837358 \nL 261.627366 128.710074 \nL 259.313312 130.672434 \nL 257.096329 132.700844 \nL 254.99656 134.774106 \nL 253.030627 136.87343 \nL 251.211761 138.982358 \nL 249.550045 141.086561 \nL 248.052728 143.173597 \nL 246.724564 145.232675 \nL 245.568196 147.254361 \nL 244.584513 149.230324 \nL 243.773011 151.153087 \nL 243.132132 153.015814 \nL 242.659543 154.812123 \nL 242.352419 156.535878 \nL 242.207654 158.181064 \nL 242.222049 159.741639 \nL 242.392457 161.211409 \nL 242.715898 162.583914 \nL 243.189627 163.852344 \nL 243.811183 165.009443 \nL 244.578396 166.047429 \nL 245.489367 166.957926 \nL 246.542426 167.731903 \nL 247.736052 168.359637 \nL 249.068763 168.830693 \nL 250.538997 169.133913 \nL 252.144925 169.257445 \nL 253.884277 169.188839 \nL 255.754102 168.91515 \nL 257.750514 168.423133 \nL 259.868384 167.699519 \nL 262.101022 166.731361 \nL 264.439823 165.506527 \nL 266.873872 164.014276 \nL 269.389553 162.246002 \nL 271.97016 160.196093 \nL 274.595514 157.862933 \nL 277.241617 155.250008 \nL 279.880411 152.367103 \nL 282.479626 149.231477 \nL 285.00283 145.868988 \nL 287.409637 142.315001 \nL 289.65624 138.614941 \nL 291.696204 134.824384 \nL 293.481618 131.008483 \nL 294.964558 127.240595 \nL 296.098923 123.600101 \nL 296.842459 120.169364 \nL 297.158957 117.030004 \nL 297.02042 114.258694 \nL 296.40906 111.92291 \nL 295.318895 110.076948 \nL 293.756767 108.758813 \nL 291.742669 107.988177 \nL 289.309271 107.765808 \nL 286.500654 108.074479 \nL 283.370363 108.88114 \nL 279.978947 110.140179 \nL 276.391191 111.797234 \nL 272.673258 113.79314 \nL 268.890051 116.067623 \nL 265.102883 118.562365 \nL 261.367634 121.223362 \nL 257.733446 124.002457 \nL 254.241968 126.858088 \nL 250.927081 129.755451 \nL 247.815028 132.666187 \nL 244.924892 135.567763 \nL 242.269281 138.442653 \nL 239.85515 141.277528 \nL 237.684695 144.062416 \nL 235.756253 146.789969 \nL 234.065143 149.454795 \nL 232.604463 152.052954 \nL 231.365787 154.581499 \nL 230.339761 157.038123 \nL 229.516628 159.420902 \nL 228.886641 161.728078 \nL 228.440404 163.957914 \nL 228.169133 166.108541 \nL 228.064856 168.177864 \nL 228.120561 170.163456 \nL 228.330283 172.062508 \nL 228.689176 173.871693 \nL 229.19353 175.587134 \nL 229.840779 177.204285 \nL 230.629479 178.71783 \nL 231.559272 180.121583 \nL 232.63083 181.408358 \nL 233.845793 182.569867 \nL 235.206679 183.59653 \nL 236.716788 184.477377 \nL 238.380078 185.199855 \nL 240.20102 185.749669 \nL 242.184422 186.110652 \nL 244.335217 186.264586 \nL 246.658205 186.191127 \nL 249.157743 185.867724 \nL 251.83736 185.269624 \nL 254.699303 184.370004 \nL 257.74399 183.140231 \nL 260.969367 181.550347 \nL 264.37015 179.569778 \nL 267.936965 177.16844 \nL 271.655365 174.318184 \nL 275.504778 170.994735 \nL 279.457371 167.180193 \nL 283.476934 162.866011 \nL 287.517837 158.056498 \nL 291.524167 152.772647 \nL 295.42925 147.056113 \nL 299.155691 140.972804 \nL 302.616165 134.615652 \nL 305.715148 128.105779 \nL 308.351795 121.591335 \nL 310.423999 115.243342 \nL 311.833661 109.248139 \nL 312.492841 103.796417 \nL 312.33043 99.069668 \nL 311.298557 95.225355 \nL 309.378078 92.382952 \nL 306.582183 90.612987 \nL 302.957499 89.931114 \nL 298.582363 90.298385 \nL 293.562271 91.627594 \nL 288.023048 93.794703 \nL 282.102556 96.652965 \nL 275.942057 100.047566 \nL 269.678158 103.828494 \nL 263.436139 107.860244 \nL 257.325176 112.02784 \nL 251.435495 116.239253 \nL 245.837395 120.425041 \nL 240.581726 124.536062 \nL 235.701464 128.540187 \nL 231.213943 132.41867 \nL 227.123401 136.162718 \nL 223.42358 139.770486 \nL 220.100176 143.244681 \nL 217.133038 146.590722 \nL 214.498057 149.815402 \nL 212.168738 152.925991 \nL 210.117458 155.929668 \nL 208.316447 158.833158 \nL 206.73852 161.642596 \nL 205.357603 164.363441 \nL 203.090075 169.558025 \nL 201.337841 174.448603 \nL 199.953522 179.059467 \nL 198.310044 185.491506 \nL 195.540643 196.771219 \nL 194.543602 200.092954 \nL 193.426263 203.20242 \nL 192.141665 206.098395 \nL 190.640683 208.774568 \nL 188.8694 211.217725 \nL 187.863627 212.345281 \nL 186.76664 213.40512 \nL 185.56927 214.392281 \nL 184.261606 215.300659 \nL 182.832926 216.122786 \nL 181.271644 216.849571 \nL 179.565255 217.470016 \nL 177.70029 217.970863 \nL 175.662311 218.336195 \nL 173.435905 218.546978 \nL 171.004732 218.580533 \nL 168.351624 218.40995 \nL 165.45874 218.00344 \nL 162.307823 217.323665 \nL 158.880575 216.327036 \nL 155.159191 214.963068 \nL 151.127092 213.17383 \nL 146.769902 210.893647 \nL 142.076761 208.049193 \nL 137.041997 204.560224 \nL 131.66725 200.341218 \nL 125.964127 195.30438 \nL 119.957346 189.364384 \nL 113.688448 182.445404 \nL 107.219915 174.490839 \nL 100.639525 165.476039 \nL 94.064436 155.423758 \nL 87.644523 144.421571 \nL 81.563901 132.639219 \nL 76.039635 120.342644 \nL 71.316271 107.90008 \nL 67.655074 95.774921 \nL 65.317302 84.500361 \nL 64.541955 74.63386 \nL 65.519781 66.694069 \nL 68.367184 61.089857 \nL 73.104854 58.056393 \nL 79.646229 57.615448 \nL 87.799551 59.572561 \nL 97.284496 63.553248 \nL 107.760573 69.069022 \nL 118.861805 75.594737 \nL 130.230893 82.638163 \nL 163.02064 103.282705 \nL 181.902762 114.775294 \nL 197.688329 124.058554 \nL 231.964053 143.9796 \nL 242.360594 150.129431 \nL 246.361752 152.255824 \nL 249.930192 153.80436 \nL 251.614544 154.36424 \nL 253.258355 154.78014 \nL 254.877068 155.050343 \nL 256.483114 155.172661 \nL 258.086106 155.144711 \nL 259.692993 154.964109 \nL 261.308199 154.628735 \nL 262.933727 154.136991 \nL 264.569245 153.48805 \nL 266.212152 152.682157 \nL 267.857652 151.720938 \nL 269.498812 150.607699 \nL 271.126614 149.347737 \nL 272.730068 147.948658 \nL 274.296313 146.420655 \nL 275.810784 144.776743 \nL 277.257404 143.032916 \nL 278.618853 141.208256 \nL 279.876908 139.324876 \nL 281.012828 137.407735 \nL 282.007833 135.48434 \nL 282.843619 133.584221 \nL 283.502962 131.738292 \nL 283.970304 129.978017 \nL 284.232384 128.334506 \nL 284.278813 126.837503 \nL 284.102629 125.51437 \nL 283.70073 124.389108 \nL 283.074176 123.481516 \nL 282.228371 122.806522 \nL 281.173054 122.373737 \nL 279.922107 122.187273 \nL 278.493207 122.245839 \nL 276.907332 122.543078 \nL 275.188117 123.068129 \nL 273.361169 123.806355 \nL 271.453286 124.740162 \nL 269.491711 125.849855 \nL 267.503418 127.114465 \nL 263.549474 130.022697 \nL 259.779918 133.297825 \nL 256.348794 136.788709 \nL 253.371039 140.366732 \nL 250.923783 143.926281 \nL 249.051695 147.381507 \nL 248.338189 149.047388 \nL 247.77422 150.661446 \nL 247.359523 152.216305 \nL 247.093151 153.704882 \nL 246.973667 155.120299 \nL 246.999273 156.455753 \nL 247.167955 157.704402 \nL 247.477556 158.859297 \nL 247.925849 159.913295 \nL 248.510581 160.858997 \nL 249.22947 161.688695 \nL 250.080196 162.394348 \nL 251.060354 162.967532 \nL 252.167387 163.399487 \nL 253.398496 163.681098 \nL 254.750504 163.802972 \nL 256.219735 163.755531 \nL 257.801826 163.529146 \nL 259.491547 163.114297 \nL 261.282585 162.50185 \nL 263.167306 161.683329 \nL 265.136516 160.651316 \nL 267.179204 159.399899 \nL 269.282294 157.925216 \nL 271.430398 156.226036 \nL 273.605603 154.30446 \nL 275.787311 152.166617 \nL 277.952142 149.823382 \nL 280.073922 147.291086 \nL 282.1238 144.592082 \nL 284.070514 141.75519 \nL 285.880831 138.815889 \nL 287.520162 135.816176 \nL 288.953401 132.804023 \nL 290.145938 129.832414 \nL 291.064858 126.957865 \nL 291.680254 124.238524 \nL 291.966607 121.731913 \nL 291.904132 119.492404 \nL 291.480019 117.568667 \nL 290.689417 116.001281 \nL 289.536082 114.820803 \nL 288.032659 114.046373 \nL 286.200454 113.685048 \nL 284.068781 113.732045 \nL 281.673903 114.171605 \nL 279.057568 114.978625 \nL 276.265383 116.120618 \nL 273.345019 117.560037 \nL 270.344483 119.2565 \nL 267.310522 121.168864 \nL 264.287209 123.256985 \nL 261.314867 125.483088 \nL 258.429295 127.812659 \nL 255.661286 130.215006 \nL 253.036451 132.663427 \nL 250.575277 135.135132 \nL 248.293412 137.610973 \nL 246.202047 140.075056 \nL 244.308441 142.514299 \nL 242.616465 144.917945 \nL 241.127179 147.277158 \nL 239.839382 149.584582 \nL 238.750157 151.833986 \nL 237.855333 154.019979 \nL 237.14992 156.137708 \nL 236.628481 158.182661 \nL 236.285433 160.150464 \nL 236.115306 162.036724 \nL 236.112952 163.836903 \nL 236.273685 165.546175 \nL 236.593408 167.159326 \nL 237.068674 168.670641 \nL 237.696739 170.073813 \nL 238.475556 171.361836 \nL 239.403758 172.526908 \nL 240.480616 173.56033 \nL 241.705961 174.452414 \nL 243.080079 175.192391 \nL 244.603591 175.768352 \nL 246.277296 176.167154 \nL 248.10197 176.374399 \nL 250.078152 176.374442 \nL 252.205859 176.150423 \nL 254.484285 175.6844 \nL 256.911433 174.957547 \nL 259.483691 173.950485 \nL 262.195352 172.643758 \nL 265.038098 171.018481 \nL 268.000388 169.057198 \nL 271.066871 166.744981 \nL 274.217711 164.070765 \nL 277.427952 161.028978 \nL 280.666939 157.621372 \nL 283.897825 153.859055 \nL 287.077255 149.764577 \nL 290.155327 145.373903 \nL 293.075898 140.738096 \nL 295.777345 135.924362 \nL 298.19386 131.016173 \nL 300.257371 126.112129 \nL 301.900049 121.323319 \nL 303.05739 116.769064 \nL 303.671742 112.571066 \nL 303.695948 108.84638 \nL 303.096962 105.699851 \nL 301.858863 103.216671 \nL 299.985064 101.456327 \nL 297.499247 100.448487 \nL 294.444952 100.191665 \nL 290.883684 100.654741 \nL 286.891727 101.781148 \nL 282.555999 103.495042 \nL 277.969373 105.70843 \nL 273.225927 108.328344 \nL 268.416578 111.263288 \nL 263.625452 114.428171 \nL 258.92716 117.747766 \nL 254.385082 121.158439 \nL 250.05058 124.608555 \nL 245.963022 128.057903 \nL 242.150441 131.47642 \nL 238.630613 134.842618 \nL 235.412419 138.141919 \nL 232.497293 141.365086 \nL 229.880693 144.506839 \nL 227.553475 147.564716 \nL 225.503145 150.538153 \nL 223.714943 153.427817 \nL 222.172773 156.235067 \nL 220.859957 158.96162 \nL 219.759849 161.609297 \nL 218.856305 164.179873 \nL 218.134041 166.674974 \nL 217.578886 169.096017 \nL 217.17796 171.44419 \nL 216.919785 173.7204 \nL 216.794335 175.925303 \nL 216.793066 178.05925 \nL 216.908898 180.122301 \nL 217.136186 182.114191 \nL 217.470683 184.034288 \nL 217.909481 185.881583 \nL 218.450971 187.654616 \nL 219.094775 189.351421 \nL 219.841706 190.969477 \nL 220.693721 192.505589 \nL 221.653876 193.9558 \nL 222.726284 195.315274 \nL 223.916083 196.578141 \nL 225.229404 197.737343 \nL 226.67333 198.78445 \nL 228.255857 199.70943 \nL 229.985847 200.50042 \nL 231.87296 201.143449 \nL 233.927568 201.622128 \nL 236.160646 201.917328 \nL 238.583604 202.006835 \nL 241.20808 201.864996 \nL 244.045658 201.46237 \nL 247.107483 200.765428 \nL 250.403788 199.736334 \nL 253.943249 198.332854 \nL 257.732198 196.508518 \nL 261.773631 194.213071 \nL 266.065973 191.393431 \nL 270.601602 187.995245 \nL 275.365108 183.965297 \nL 280.331307 179.254955 \nL 285.462997 173.824791 \nL 290.708648 167.650591 \nL 296.000112 160.73068 \nL 301.250606 153.09434 \nL 306.353373 144.810734 \nL 311.181441 135.99724 \nL 315.589018 126.82578 \nL 319.415099 117.524952 \nL 322.489743 108.375922 \nL 324.643245 99.700119 \nL 325.717948 91.837847 \nL 325.581958 85.1189 \nL 324.143195 79.82835 \nL 321.361769 76.173065 \nL 317.25845 74.255787 \nL 311.917269 74.062727 \nL 305.481221 75.468103 \nL 298.141307 78.25488 \nL 290.120576 82.146787 \nL 281.655732 86.84462 \nL 272.979153 92.059293 \nL 264.303818 97.536461 \nL 247.652399 108.509323 \nL 232.726804 118.730509 \nL 219.999529 127.822229 \nL 214.488385 131.93648 \nL 209.522706 135.7838 \nL 205.070162 139.385894 \nL 201.091018 142.765336 \nL 197.541204 145.943592 \nL 194.374696 148.939963 \nL 189.007831 154.450679 \nL 184.638569 159.397413 \nL 174.60386 171.302245 \nL 171.531537 174.303529 \nL 169.949048 175.607522 \nL 168.313119 176.771509 \nL 166.608696 177.787116 \nL 164.822041 178.644516 \nL 162.940653 179.33237 \nL 160.953205 179.837734 \nL 158.849552 180.146004 \nL 156.620798 180.240885 \nL 154.259398 180.104374 \nL 151.759345 179.716834 \nL 149.116445 179.057143 \nL 146.328639 178.102948 \nL 143.396435 176.831083 \nL 140.323413 175.218188 \nL 137.116837 173.241533 \nL 133.788318 170.880167 \nL 130.354554 168.116367 \nL 126.838114 164.937462 \nL 123.268219 161.337949 \nL 119.681441 157.322006 \nL 116.122276 152.906167 \nL 112.643445 148.122074 \nL 109.305863 143.019014 \nL 106.178067 137.665898 \nL 103.335025 132.152295 \nL 100.856176 126.58797 \nL 98.822655 121.100548 \nL 97.313723 115.831001 \nL 96.402496 110.926863 \nL 96.151235 106.533531 \nL 96.606633 102.784339 \nL 97.79552 99.790454 \nL 99.721552 97.632043 \nL 102.363412 96.352018 \nL 105.67484 95.953353 \nL 109.586603 96.400433 \nL 114.01027 97.62425 \nL 118.843456 99.530471 \nL 123.975783 102.009157 \nL 129.295067 104.944442 \nL 134.692992 108.22321 \nL 140.069801 111.741693 \nL 145.337748 115.409743 \nL 150.423217 119.152911 \nL 155.267587 122.912562 \nL 159.827037 126.644759 \nL 164.07157 130.31827 \nL 167.983518 133.912314 \nL 171.555748 137.414229 \nL 174.789771 140.8174 \nL 177.693924 144.119487 \nL 180.281656 147.321002 \nL 182.570041 150.424251 \nL 184.578493 153.432534 \nL 186.327701 156.349602 \nL 187.838782 159.179316 \nL 189.132611 161.925411 \nL 190.229324 164.591381 \nL 191.147956 167.180423 \nL 191.906193 169.695425 \nL 193.004656 174.513329 \nL 193.635147 179.06256 \nL 193.882962 183.356926 \nL 193.80994 187.407219 \nL 193.456973 191.221544 \nL 192.846605 194.805258 \nL 191.985313 198.160566 \nL 190.865234 201.285733 \nL 189.465286 204.173825 \nL 187.751672 206.810871 \nL 186.763198 208.028331 \nL 185.677825 209.173216 \nL 184.487652 210.240437 \nL 183.183903 211.223762 \nL 181.756894 212.115589 \nL 180.196008 212.906716 \nL 178.489677 213.586055 \nL 176.625376 214.140295 \nL 174.589624 214.553533 \nL 172.368025 214.806835 \nL 169.945338 214.877744 \nL 167.305592 214.739754 \nL 164.432279 214.361725 \nL 161.308638 213.707276 \nL 157.918036 212.734201 \nL 154.244536 211.393931 \nL 150.273627 209.631131 \nL 145.993214 207.383564 \nL 141.394881 204.582355 \nL 136.475547 201.152895 \nL 131.239471 197.016646 \nL 125.700773 192.094201 \nL 119.886356 186.309993 \nL 113.839322 179.599061 \nL 107.622665 171.916221 \nL 101.323104 163.247749 \nL 95.054561 153.625313 \nL 88.96081 143.141264 \nL 83.216376 131.96337 \nL 78.024751 120.346113 \nL 73.612813 108.634435 \nL 70.220575 97.255594 \nL 68.085755 86.695223 \nL 67.423732 77.456217 \nL 68.404534 70.003462 \nL 71.130098 64.702521 \nL 75.615944 61.765202 \nL 81.781419 61.21591 \nL 89.451789 62.889046 \nL 98.372713 66.459379 \nL 108.23495 71.497602 \nL 118.7046 77.536452 \nL 129.453235 84.131192 \nL 186.725505 120.192743 \nL 211.566179 135.594653 \nL 220.349135 141.269966 \nL 230.268791 148.032226 \nL 239.644049 154.572741 \nL 243.439407 156.933218 \nL 245.225395 157.892746 \nL 246.969339 158.703064 \nL 248.691386 159.361063 \nL 250.408605 159.86265 \nL 252.135183 160.202946 \nL 253.882585 160.376482 \nL 255.659676 160.377388 \nL 257.472806 160.199622 \nL 259.325871 159.837212 \nL 261.220322 159.284545 \nL 263.155155 158.536672 \nL 265.126875 157.589697 \nL 267.129458 156.441219 \nL 269.154257 155.090776 \nL 271.189984 153.540386 \nL 273.222647 151.795081 \nL 275.235567 149.863457 \nL 277.209428 147.758212 \nL 279.122405 145.49664 \nL 280.950405 143.100967 \nL 282.66739 140.598577 \nL 284.245876 138.022028 \nL 285.657523 135.408744 \nL 286.873911 132.800476 \nL 287.867412 130.242349 \nL 288.612193 127.781642 \nL 289.085259 125.466212 \nL 289.267537 123.342732 \nL 289.144883 121.454789 \nL 288.708982 119.841014 \nL 287.958018 118.533364 \nL 286.89714 117.555747 \nL 285.538541 116.923092 \nL 283.901254 116.640943 \nL 282.010587 116.705662 \nL 279.897257 117.105062 \nL 277.596294 117.819644 \nL 275.145769 118.824032 \nL 272.585437 120.08859 \nL 269.955403 121.581115 \nL 267.294898 123.268393 \nL 264.641183 125.117508 \nL 262.028687 127.096948 \nL 259.488356 129.17738 \nL 257.047238 131.332116 \nL 254.728293 133.537378 \nL 252.550388 135.772316 \nL 250.528448 138.0189 \nL 248.673732 140.261682 \nL 246.994197 142.487477 \nL 245.494902 144.685057 \nL 244.178456 146.844835 \nL 243.045447 148.958523 \nL 242.094867 151.018848 \nL 241.324503 153.0193 \nL 240.731285 154.953915 \nL 240.311604 156.817035 \nL 240.061564 158.603167 \nL 239.977219 160.306816 \nL 240.054741 161.922369 \nL 240.290549 163.443946 \nL 240.681417 164.86531 \nL 241.224538 166.17977 \nL 241.917536 167.380072 \nL 242.758483 168.458329 \nL 243.74585 169.405936 \nL 244.878463 170.213503 \nL 246.155401 170.870785 \nL 247.575885 171.366655 \nL 249.139127 171.689084 \nL 250.844154 171.825142 \nL 252.689589 171.761082 \nL 254.673401 171.482403 \nL 256.792626 170.974074 \nL 259.043024 170.220758 \nL 261.41872 169.20721 \nL 263.911797 167.91876 \nL 266.511849 166.341959 \nL 269.205513 164.465389 \nL 271.975995 162.280634 \nL 274.802583 159.783432 \nL 277.660243 156.975002 \nL 280.519227 153.863464 \nL 283.344868 150.4653 \nL 286.097497 146.806811 \nL 288.732648 142.925337 \nL 291.201544 138.870105 \nL 293.451961 134.702535 \nL 295.429472 130.495762 \nL 297.07917 126.333148 \nL 298.347755 122.305815 \nL 299.185984 118.509003 \nL 299.551303 115.03755 \nL 299.410529 111.980758 \nL 298.742285 109.416983 \nL 297.539011 107.40879 \nL 295.80826 105.998936 \nL 293.573082 105.207997 \nL 290.871473 105.0337 \nL 287.754762 105.452275 \nL 284.285225 106.421372 \nL 280.532993 107.884324 \nL 276.572662 109.775044 \nL 272.479851 112.02297 \nL 268.32803 114.557539 \nL 264.185807 117.311811 \nL 260.114855 120.225085 \nL 256.168541 123.244433 \nL 252.391173 126.325321 \nL 248.817875 129.43151 \nL 245.474917 132.534392 \nL 242.380406 135.612067 \nL 239.545198 138.648249 \nL 236.973959 141.631205 \nL 234.666236 144.552733 \nL 232.617525 147.407312 \nL 230.820249 150.191338 \nL 229.264648 152.90257 \nL 227.939549 155.539651 \nL 226.833029 158.101768 \nL 225.932945 160.588392 \nL 225.227377 162.999079 \nL 224.704972 165.33335 \nL 224.355196 167.590564 \nL 224.168533 169.76985 \nL 224.136607 171.870037 \nL 224.252272 173.889578 \nL 224.509663 175.826508 \nL 224.904201 177.678375 \nL 225.432599 179.442162 \nL 226.092832 181.114213 \nL 226.884108 182.690126 \nL 227.806814 184.164673 \nL 228.86247 185.531658 \nL 230.053659 186.783784 \nL 231.383964 187.912523 \nL 232.857874 188.907904 \nL 234.480707 189.758379 \nL 236.258476 190.450587 \nL 238.197766 190.969157 \nL 240.305566 191.296499 \nL 242.589056 191.412601 \nL 245.05535 191.294837 \nL 247.711183 190.917828 \nL 250.562503 190.253374 \nL 253.613988 189.270485 \nL 256.868452 187.935603 \nL 260.326111 186.212993 \nL 263.983728 184.065502 \nL 267.833608 181.455679 \nL 271.862404 178.347405 \nL 276.04985 174.708116 \nL 280.367317 170.511716 \nL 284.776367 165.742269 \nL 289.227329 160.398374 \nL 293.658068 154.498136 \nL 297.993151 148.08446 \nL 302.143624 141.230062 \nL 306.007707 134.041546 \nL 309.472719 126.661541 \nL 312.418445 119.267762 \nL 314.722161 112.068035 \nL 316.265296 105.290556 \nL 316.941337 99.169334 \nL 316.664544 93.925968 \nL 315.378343 89.749605 \nL 313.06243 86.77821 \nL 309.737295 85.084482 \nL 305.465279 84.66912 \nL 300.34771 85.463032 \nL 294.51826 87.338081 \nL 288.133424 90.124226 \nL 281.361404 93.629567 \nL 274.37088 97.659831 \nL 267.321066 102.034364 \nL 260.353994 106.597002 \nL 253.589452 111.221589 \nL 247.122578 115.812835 \nL 241.023711 120.303876 \nL 235.339959 124.651929 \nL 230.097876 128.833162 \nL 225.306677 132.837732 \nL 220.961629 136.665433 \nL 217.047273 140.322162 \nL 213.54033 143.817241 \nL 210.412195 147.161539 \nL 207.630988 150.366198 \nL 205.163199 153.441839 \nL 202.974947 156.398136 \nL 201.032918 159.243607 \nL 197.760886 164.630303 \nL 195.112009 169.647497 \nL 191.872164 176.54409 \nL 188.097304 184.638677 \nL 186.164737 188.217871 \nL 184.066971 191.47062 \nL 182.927795 192.96746 \nL 181.713849 194.372482 \nL 180.414301 195.680346 \nL 179.018262 196.88454 \nL 177.514688 197.977203 \nL 175.892306 198.948924 \nL 174.13956 199.788508 \nL 172.24458 200.482724 \nL 170.195189 201.016008 \nL 167.978945 201.370155 \nL 165.583234 201.523974 \nL 162.995415 201.452954 \nL 160.203049 201.128919 \nL 157.194204 200.519723 \nL 153.957898 199.589009 \nL 150.484644 198.296103 \nL 146.767184 196.596098 \nL 142.801411 194.440242 \nL 138.587493 191.776749 \nL 134.131282 188.552185 \nL 129.445934 184.713649 \nL 124.553813 180.21185 \nL 119.488641 175.005432 \nL 114.297734 169.066504 \nL 109.044294 162.387538 \nL 103.809454 154.989401 \nL 98.693795 146.930052 \nL 93.817869 138.312977 \nL 89.321264 129.294007 \nL 85.35963 120.0846 \nL 82.099205 110.949558 \nL 79.708511 102.197091 \nL 78.347351 94.160163 \nL 78.153736 87.169527 \nL 79.230009 81.520985 \nL 81.630056 77.441896 \nL 85.349796 75.063166 \nL 90.322941 74.403116 \nL 96.4234 75.367309 \nL 103.47431 77.764752 \nL 111.262595 81.33681 \nL 119.55661 85.792228 \nL 128.124145 90.840961 \nL 136.748239 96.221027 \nL 145.238993 101.715251 \nL 161.234493 112.433854 \nL 175.299168 122.232031 \nL 187.129693 130.894743 \nL 192.214533 134.816318 \nL 196.780221 138.489974 \nL 200.864103 141.937664 \nL 204.508676 145.1808 \nL 207.759048 148.238967 \nL 213.259651 153.866096 \nL 217.718253 158.923656 \nL 223.134782 165.575261 \nL 227.794753 171.173244 \nL 230.821171 174.307733 \nL 232.371904 175.684186 \nL 233.970846 176.925332 \nL 235.633524 178.023413 \nL 237.374161 178.969269 \nL 239.205774 179.752218 \nL 241.140248 180.360008 \nL 243.188357 180.778711 \nL 245.359727 180.992663 \nL 247.662759 180.984435 \nL 250.104469 180.73485 \nL 252.690259 180.223061 \nL 255.423616 179.426739 \nL 258.30573 178.322386 \nL 261.335004 176.88583 \nL 264.506496 175.092947 \nL 267.81126 172.920617 \nL 271.235606 170.348041 \nL 274.760309 167.358368 \nL 278.359779 163.940739 \nL 282.001287 160.092658 \nL 285.644223 155.822688 \nL 289.239621 151.153334 \nL 292.729914 146.123895 \nL 296.049192 140.792937 \nL 299.123998 135.240079 \nL 301.874887 129.5665 \nL 304.218775 123.893742 \nL 306.072203 118.360358 \nL 307.355383 113.116171 \nL 307.996887 108.314263 \nL 307.938656 104.101055 \nL 307.140797 100.605711 \nL 305.585719 97.929863 \nL 303.280965 96.139373 \nL 300.260273 95.259312 \nL 296.582652 95.273086 \nL 292.329385 96.125872 \nL 287.599305 97.731692 \nL 282.502855 99.982968 \nL 277.155646 102.760943 \nL 271.672166 105.945548 \nL 266.160289 109.423512 \nL 260.716999 113.094075 \nL 255.425475 116.872251 \nL 250.35359 120.689844 \nL 245.553608 124.494799 \nL 241.062864 128.249425 \nL 236.905112 131.928055 \nL 233.092293 135.514597 \nL 229.626481 139.000174 \nL 226.501828 142.381103 \nL 223.706425 145.657248 \nL 221.223948 148.830719 \nL 219.035095 151.904942 \nL 217.118789 154.883984 \nL 215.453153 157.772111 \nL 214.016278 160.573499 \nL 212.786811 163.292088 \nL 211.744384 165.931502 \nL 210.869908 168.495029 \nL 209.555954 173.405883 \nL 208.723273 178.044715 \nL 208.27582 182.427725 \nL 208.141603 186.568079 \nL 208.270042 190.476559 \nL 208.629083 194.161785 \nL 209.202571 197.630178 \nL 209.988131 200.885619 \nL 210.995658 203.928829 \nL 212.246448 206.756351 \nL 213.772923 209.35909 \nL 215.61891 211.720162 \nL 216.678707 212.801939 \nL 217.840377 213.811838 \nL 219.11299 214.743988 \nL 220.50653 215.591198 \nL 222.031925 216.344728 \nL 223.701086 216.99399 \nL 225.526935 217.526219 \nL 227.523411 217.926093 \nL 229.705466 218.17528 \nL 232.089015 218.251923 \nL 234.690846 218.130087 \nL 237.528467 217.779123 \nL 240.619872 217.162997 \nL 243.983183 216.239615 \nL 247.636146 214.960149 \nL 251.595455 213.268501 \nL 255.875816 211.100935 \nL 260.488711 208.386084 \nL 265.440818 205.045554 \nL 270.731987 200.995351 \nL 276.352723 196.148565 \nL 282.281153 190.419715 \nL 288.479461 183.73123 \nL 294.889858 176.022542 \nL 301.430336 167.262069 \nL 307.990504 157.462021 \nL 314.4281 146.695336 \nL 320.567065 135.113018 \nL 326.19816 122.958952 \nL 331.083513 110.577911 \nL 334.966115 98.411481 \nL 337.585153 86.976962 \nL 338.697066 76.826415 \nL 338.100664 68.487447 \nL 335.663282 62.39362 \nL 331.343261 58.818638 \nL 325.203814 57.830828 \nL 317.41393 59.282022 \nL 308.234909 62.835521 \nL 297.994425 68.026115 \nL 287.053012 74.335664 \nL 275.769643 81.264761 \nL 232.958713 108.126534 \nL 215.338242 118.733764 \nL 194.658012 130.806066 \nL 176.094159 141.694377 \nL 159.949754 151.349104 \nL 156.13929 153.293417 \nL 152.671841 154.66147 \nL 151.011306 155.128784 \nL 149.376822 155.449418 \nL 147.755188 155.620988 \nL 146.136069 155.640838 \nL 144.51181 155.506215 \nL 142.877329 155.214573 \nL 141.22999 154.763768 \nL 139.569533 154.15238 \nL 137.898005 153.379958 \nL 136.219695 152.447364 \nL 134.541103 151.357067 \nL 132.870864 150.113503 \nL 131.219685 148.723388 \nL 129.600258 147.196017 \nL 128.027097 145.543568 \nL 126.516381 143.781293 \nL 125.085682 141.927666 \nL 123.753682 140.004373 \nL 122.539759 138.036229 \nL 121.46356 136.050867 \nL 120.544425 134.078297 \nL 119.800844 132.15027 \nL 119.249782 130.299471 \nL 118.906057 128.558584 \nL 118.781685 126.959249 \nL 118.885301 125.530964 \nL 119.221637 124.300046 \nL 119.791151 123.288652 \nL 120.589787 122.514008 \nL 121.608932 121.987872 \nL 122.835531 121.716217 \nL 124.252406 121.699264 \nL 125.838748 121.931784 \nL 127.570736 122.403601 \nL 129.422268 123.100359 \nL 131.365768 124.004346 \nL 133.37298 125.095437 \nL 135.41572 126.351964 \nL 139.499712 129.271979 \nL 143.418402 132.589412 \nL 147.00755 136.145244 \nL 150.143802 139.804246 \nL 152.743865 143.455968 \nL 154.759174 147.01145 \nL 155.540001 148.729916 \nL 156.168266 150.398053 \nL 156.644198 152.008419 \nL 156.968756 153.553947 \nL 157.14344 155.027793 \nL 157.170116 156.423206 \nL 157.050891 157.733428 \nL 156.787993 158.951606 \nL 156.383706 160.070681 \nL 155.840323 161.083357 \nL 155.160113 161.981994 \nL 154.345342 162.758603 \nL 153.398302 163.404785 \nL 152.321377 163.911738 \nL 151.117122 164.27026 \nL 149.788384 164.470789 \nL 148.338439 164.503481 \nL 146.771161 164.358314 \nL 145.091199 164.025247 \nL 143.304208 163.494437 \nL 141.41707 162.756527 \nL 139.438148 161.80299 \nL 137.37757 160.626579 \nL 135.247482 159.221826 \nL 133.062309 157.585655 \nL 130.839024 155.718074 \nL 128.597345 153.622886 \nL 126.359887 151.308499 \nL 124.152226 148.788653 \nL 122.002863 146.083154 \nL 119.943032 143.218432 \nL 118.006345 140.227896 \nL 116.228239 137.151998 \nL 114.645207 134.037897 \nL 113.293828 130.938655 \nL 112.20958 127.911941 \nL 111.425487 125.018226 \nL 110.970696 122.318521 \nL 110.86899 119.871775 \nL 111.137402 117.732129 \nL 111.785008 115.946236 \nL 112.812083 114.550959 \nL 114.209572 113.57154 \nL 115.959124 113.020572 \nL 118.033557 112.897852 \nL 120.397839 113.191041 \nL 123.010456 113.877101 \nL 125.82513 114.924332 \nL 128.792633 116.294743 \nL 131.862708 117.9465 \nL 134.985831 119.836289 \nL 138.114797 121.921325 \nL 141.206013 124.160954 \nL 144.220425 126.517801 \nL 147.124147 128.958471 \nL 149.888745 131.453854 \nL 152.491244 133.979083 \nL 154.913909 136.513319 \nL 157.143851 139.039318 \nL 159.172508 141.542989 \nL 160.995064 144.012874 \nL 162.60986 146.439659 \nL 164.017763 148.815722 \nL 165.221618 151.134741 \nL 166.225709 153.39134 \nL 167.035297 155.580811 \nL 167.656209 157.698856 \nL 168.094498 159.741391 \nL 168.356152 161.704366 \nL 168.446869 163.583627 \nL 168.371873 165.374775 \nL 168.135795 167.073075 \nL 167.742568 168.673333 \nL 167.195382 170.169788 \nL 166.496664 171.556016 \nL 165.648075 172.824839 \nL 164.650556 173.968198 \nL 163.504381 174.977089 \nL 162.209242 175.841436 \nL 160.764362 176.549994 \nL 159.168635 177.090272 \nL 157.420786 177.448469 \nL 155.519582 177.609427 \nL 153.464079 177.556629 \nL 151.253897 177.272241 \nL 148.889564 176.737253 \nL 146.372894 175.931703 \nL 143.707454 174.835015 \nL 140.899063 173.426528 \nL 137.956363 171.686196 \nL 134.891464 169.595545 \nL 131.720587 167.138844 \nL 128.464798 164.30461 \nL 125.150667 161.087373 \nL 121.810907 157.489697 \nL 118.484898 153.52439 \nL 115.218987 149.21678 \nL 112.066518 144.606864 \nL 109.087449 139.751055 \nL 106.347468 134.723214 \nL 103.916506 129.614616 \nL 101.866568 124.532464 \nL 100.268912 119.596727 \nL 99.190646 114.935149 \nL 98.690841 110.676603 \nL 98.816568 106.943202 \nL 99.599098 103.84196 \nL 101.050768 101.456976 \nL 103.162899 99.843175 \nL 105.905072 99.02262 \nL 109.226031 98.98381 \nL 113.056103 99.684328 \nL 117.310977 101.056124 \nL 121.896426 103.012707 \nL 126.713439 105.457197 \nL 131.663303 108.289944 \nL 136.652079 111.415162 \nL 141.594238 114.745695 \nL 146.415221 118.206124 \nL 151.052903 121.734032 \nL 155.458107 125.279944 \nL 159.594273 128.806314 \nL 163.436545 132.285918 \nL 166.970452 135.700044 \nL 170.190387 139.036652 \nL 173.09801 142.288743 \nL 175.700713 145.452942 \nL 178.010183 148.528362 \nL 180.041144 151.515744 \nL 181.810266 154.41679 \nL 183.335262 157.233713 \nL 184.634159 159.968913 \nL 185.724711 162.624801 \nL 186.623971 165.203632 \nL 187.347965 167.707474 \nL 187.911466 170.138147 \nL 188.327854 172.497215 \nL 188.609027 174.785985 \nL 188.805774 179.156561 \nL 188.566864 183.255098 \nL 187.934513 187.082372 \nL 186.929743 190.633967 \nL 186.288932 192.303287 \nL 185.554221 193.899012 \nL 184.723056 195.41844 \nL 183.791847 196.858183 \nL 182.756003 198.21403 \nL 181.609948 199.480828 \nL 180.347146 200.652317 \nL 178.960117 201.720952 \nL 177.440458 202.677685 \nL 175.778867 203.511737 \nL 173.965187 204.210311 \nL 171.988448 204.758296 \nL 169.83696 205.137902 \nL 167.498415 205.328314 \nL 164.960057 205.305264 \nL 162.208901 205.040645 \nL 159.232043 204.502094 \nL 156.017066 203.652636 \nL 152.552586 202.450433 \nL 148.828948 200.848667 \nL 144.839123 198.795699 \nL 140.579851 196.235628 \nL 136.053019 193.109376 \nL 131.267373 189.356548 \nL 126.240506 184.918288 \nL 121.001171 179.741358 \nL 115.591814 173.783682 \nL 110.071265 167.021499 \nL 104.517328 159.458089 \nL 99.028983 151.133673 \nL 93.727774 142.135783 \nL 88.757784 132.608646 \nL 84.283556 122.759611 \nL 80.485303 112.860084 \nL 77.550892 103.238289 \nL 75.664461 94.261846 \nL 74.992071 86.309683 \nL 75.665661 79.735126 \nL 77.76724 74.825382 \nL 81.315994 71.764763 \nL 86.260897 70.60997 \nL 92.480826 71.283828 \nL 99.79289 73.589551 \nL 107.967917 77.242478 \nL 116.750548 81.911464 \nL 125.880556 87.2607 \nL 135.112099 92.98394 \nL 153.051207 104.595182 \nL 169.31116 115.428081 \nL 183.268922 124.973657 \nL 194.801858 133.207567 \nL 204.10055 140.305363 \nL 211.510588 146.477162 \nL 217.426483 151.897866 \nL 222.231173 156.689641 \nL 231.503576 166.305336 \nL 234.785524 169.237288 \nL 236.433741 170.496711 \nL 238.112414 171.610651 \nL 239.838219 172.571606 \nL 241.625996 173.370739 \nL 243.488853 173.997866 \nL 245.438248 174.441476 \nL 247.484009 174.688719 \nL 249.634305 174.725471 \nL 251.89557 174.536392 \nL 254.272339 174.10512 \nL 256.767057 173.414479 \nL 259.379786 172.446826 \nL 262.107871 171.184549 \nL 264.94553 169.610712 \nL 267.883399 167.709892 \nL 270.908 165.469238 \nL 274.001245 162.87976 \nL 277.139889 159.937844 \nL 280.29506 156.64696 \nL 283.431875 153.019522 \nL 286.509244 149.07879 \nL 289.479901 144.860618 \nL 292.290784 140.414899 \nL 294.883801 135.806418 \nL 297.197137 131.114823 \nL 299.167087 126.433455 \nL 300.730422 121.86681 \nL 301.827259 117.526558 \nL 302.404297 113.526184 \nL 302.418181 109.974598 \nL 301.838751 106.969263 \nL 300.651783 104.589577 \nL 298.860948 102.891371 \nL 296.488677 101.903253 \nL 293.575741 101.625359 \nL 290.179556 102.030604 \nL 286.371313 103.068419 \nL 282.2322 104.670086 \nL 277.849185 106.755165 \nL 273.310653 109.237987 \nL 268.702427 112.033428 \nL 264.104338 115.061629 \nL 259.587684 118.25119 \nL 255.213537 121.540997 \nL 251.031916 124.880784 \nL 247.081703 128.230764 \nL 243.391172 131.560604 \nL 239.9789 134.84807 \nL 236.854985 138.077569 \nL 234.022358 141.238701 \nL 231.478137 144.325015 \nL 229.21491 147.332904 \nL 227.221911 150.260747 \nL 225.486064 153.108243 \nL 223.992862 155.875888 \nL 222.72712 158.56463 \nL 221.673567 161.175598 \nL 220.817318 163.709928 \nL 220.144237 166.168662 \nL 219.641203 168.552646 \nL 219.296298 170.862513 \nL 219.098923 173.098622 \nL 219.039875 175.261032 \nL 219.111373 177.349486 \nL 219.307066 179.363379 \nL 219.622009 181.301702 \nL 220.052633 183.163028 \nL 220.596703 184.945426 \nL 221.253269 186.646418 \nL 222.022617 188.262885 \nL 222.906222 189.790977 \nL 223.906697 191.226004 \nL 225.027746 192.562309 \nL 226.274116 193.793108 \nL 227.651549 194.910329 \nL 229.166719 195.904415 \nL 230.827178 196.76411 \nL 232.641276 197.476202 \nL 234.61806 198.025272 \nL 236.767148 198.393402 \nL 239.098582 198.559872 \nL 241.622589 198.500857 \nL 244.349327 198.189152 \nL 247.288514 197.593919 \nL 250.448972 196.680525 \nL 253.838052 195.410506 \nL 257.460892 193.741745 \nL 261.319513 191.628933 \nL 265.411732 189.024455 \nL 269.729821 185.879798 \nL 274.258986 182.147712 \nL 278.975597 177.785219 \nL 283.845273 172.757642 \nL 288.820854 167.043784 \nL 293.840412 160.642182 \nL 298.825553 153.578274 \nL 303.680242 145.911985 \nL 308.290586 137.744886 \nL 312.525948 129.225692 \nL 316.241963 120.552461 \nL 319.285729 111.969787 \nL 321.503446 103.759332 \nL 322.750349 96.222924 \nL 322.902326 89.658757 \nL 321.868098 84.332951 \nL 319.600309 80.4507 \nL 316.103722 78.132314 \nL 311.438819 77.399257 \nL 305.719717 78.17367 \nL 299.106323 80.291647 \nL 291.791778 83.527486 \nL 283.987076 87.623425 \nL 275.905196 92.319003 \nL 267.746986 97.374931 \nL 259.690268 102.58892 \nL 244.440092 112.902586 \nL 230.947418 122.494031 \nL 224.97655 126.925062 \nL 219.536674 131.1055 \nL 214.616311 135.044643 \nL 210.191613 138.757776 \nL 206.230093 142.262767 \nL 202.693719 145.577841 \nL 199.541382 148.720183 \nL 196.730801 151.705165 \nL 191.967963 157.253784 \nL 188.087488 162.303731 \nL 177.745352 176.545918 \nL 174.908542 179.632676 \nL 173.415967 180.994876 \nL 171.853985 182.227307 \nL 170.208817 183.321534 \nL 168.467499 184.267603 \nL 166.617793 185.053919 \nL 164.648149 185.667092 \nL 162.547711 186.091785 \nL 160.306372 186.3106 \nL 157.914893 186.303935 \nL 155.365087 186.049941 \nL 152.650086 185.524489 \nL 149.764688 184.701276 \nL 146.70582 183.552081 \nL 143.473087 182.047149 \nL 140.069453 180.155907 \nL 136.502049 177.847929 \nL 132.783065 175.09434 \nL 128.930808 171.869652 \nL 124.970758 168.154135 \nL 120.936705 163.93674 \nL 116.871825 159.218511 \nL 112.829544 154.016416 \nL 108.874152 148.367335 \nL 105.080875 142.33186 \nL 101.53526 135.997317 \nL 98.331661 129.479403 \nL 95.570598 122.921611 \nL 93.35491 116.491734 \nL 91.784703 110.375024 \nL 90.951287 104.763822 \nL 90.930516 99.84432 \nL 91.776165 95.781689 \nL 93.514122 92.705603 \nL 96.138254 90.698264 \nL 99.608724 89.787237 \nL 103.853083 89.944324 \nL 108.770314 91.090811 \nL 114.237311 93.108028 \nL 120.117009 95.851363 \nL 126.267156 99.165147 \nL 132.548635 102.896173 \nL 138.832513 106.904272 \nL 145.005314 111.069099 \nL 150.972246 115.293295 \nL 156.658563 119.502606 \nL 162.00933 123.643859 \nL 166.988006 127.681753 \nL 171.574304 131.59521 \nL 175.761644 135.37383 \nL 179.554523 139.01476 \nL 182.966008 142.520135 \nL 186.015457 145.895117 \nL 188.726547 149.146465 \nL 191.125639 152.281553 \nL 193.240445 155.30772 \nL 195.098989 158.231896 \nL 196.728831 161.060406 \nL 198.156495 163.798913 \nL 200.504031 169.025224 \nL 202.321775 173.943598 \nL 203.761151 178.579011 \nL 205.475566 185.042555 \nL 208.381541 196.366021 \nL 209.431508 199.695451 \nL 210.609108 202.807997 \nL 211.96348 205.701229 \nL 213.546055 208.367127 \nL 215.413263 210.790076 \nL 216.47323 211.90279 \nL 217.629059 212.943937 \nL 218.890312 213.907928 \nL 220.267305 214.787904 \nL 221.771181 215.575514 \nL 223.413956 216.260635 \nL 225.208565 216.831054 \nL 227.168885 217.272097 \nL 229.309747 217.566204 \nL 231.646899 217.692432 \nL 234.196935 217.625919 \nL 236.977161 217.337277 \nL 240.005391 216.791928 \nL 243.299604 215.949442 \nL 246.877504 214.762898 \nL 250.75587 213.178294 \nL 254.949702 211.134166 \nL 259.471058 208.561521 \nL 264.327573 205.384286 \nL 269.520545 201.520556 \nL 275.042582 196.884946 \nL 280.874697 191.392512 \nL 286.98291 184.96466 \nL 293.314394 177.537531 \nL 299.793301 169.07316 \nL 306.316622 159.573469 \nL 312.750597 149.096495 \nL 318.9284 137.773528 \nL 324.650168 125.824426 \nL 329.686528 113.56725 \nL 333.786803 101.417294 \nL 336.692839 89.870411 \nL 338.158452 79.467247 \nL 337.973419 70.738859 \nL 335.989289 64.139933 \nL 332.142689 59.982078 \nL 326.471251 58.383316 \nL 319.11772 59.248389 \nL 310.320072 62.287186 \nL 300.388629 67.066998 \nL 289.674419 73.084452 \nL 278.53506 79.838108 \nL 226.323819 112.509031 \nL 209.978972 122.294373 \nL 177.644841 141.429412 \nL 159.146828 152.692625 \nL 155.4779 154.493257 \nL 153.751691 155.17625 \nL 152.069105 155.713144 \nL 150.412916 156.10188 \nL 148.768983 156.339767 \nL 147.12605 156.423693 \nL 145.475596 156.350396 \nL 143.811692 156.116671 \nL 142.130898 155.719621 \nL 140.432191 155.15693 \nL 138.716901 154.427172 \nL 136.988674 153.530107 \nL 135.253435 152.467034 \nL 133.519352 151.24114 \nL 131.796775 149.857869 \nL 130.098198 148.325261 \nL 128.438118 146.654295 \nL 126.832901 144.859166 \nL 125.300556 142.957491 \nL 123.860445 140.970403 \nL 122.532932 138.922493 \nL 121.338929 136.841644 \nL 120.299361 134.758598 \nL 119.434556 132.70639 \nL 118.76358 130.719541 \nL 118.303531 128.833111 \nL 118.068849 127.081585 \nL 118.070619 125.497699 \nL 118.315971 124.111224 \nL 118.807594 122.947878 \nL 119.5434 122.028357 \nL 120.516375 121.367598 \nL 121.714629 120.97435 \nL 123.121655 120.851066 \nL 124.716794 120.994106 \nL 126.475854 121.394232 \nL 128.371889 122.037355 \nL 130.376028 122.90547 \nL 132.458377 123.977626 \nL 134.588857 125.230966 \nL 136.738035 126.641666 \nL 140.981975 129.839959 \nL 144.990752 133.390895 \nL 148.606125 137.135311 \nL 151.714475 140.941761 \nL 154.243677 144.70524 \nL 155.278195 146.544119 \nL 156.15597 148.342325 \nL 156.876214 150.0918 \nL 157.439179 151.785075 \nL 157.845928 153.415111 \nL 158.098108 154.975148 \nL 158.19777 156.458556 \nL 158.147202 157.858729 \nL 157.948815 159.168977 \nL 157.605033 160.382412 \nL 157.118245 161.491891 \nL 156.490765 162.48993 \nL 155.724822 163.368632 \nL 154.822592 164.119675 \nL 153.786242 164.73425 \nL 152.618008 165.203068 \nL 151.320304 165.516379 \nL 149.89585 165.664007 \nL 148.347839 165.635434 \nL 146.680111 165.419926 \nL 144.89737 165.006709 \nL 143.005426 164.385222 \nL 141.011454 163.545424 \nL 138.924281 162.47819 \nL 136.754673 161.175829 \nL 134.515638 159.63265 \nL 132.222717 157.845638 \nL 129.894261 155.815245 \nL 127.551661 153.546197 \nL 125.219487 151.048379 \nL 122.92556 148.337693 \nL 120.70089 145.436801 \nL 118.579414 142.375754 \nL 116.597593 139.192312 \nL 114.793734 135.931932 \nL 113.207088 132.647286 \nL 111.876732 129.39722 \nL 110.840186 126.245145 \nL 110.131911 123.256866 \nL 109.781662 120.497902 \nL 109.81288 118.030521 \nL 110.241214 115.910621 \nL 111.073268 114.184884 \nL 112.305791 112.888299 \nL 113.925307 112.042469 \nL 115.908312 111.654861 \nL 118.222041 111.718981 \nL 120.825728 112.215569 \nL 123.67231 113.114548 \nL 126.710388 114.377551 \nL 129.886352 115.960659 \nL 133.146406 117.817166 \nL 136.438464 119.900024 \nL 139.713746 122.163903 \nL 142.928015 124.566729 \nL 146.042423 127.070639 \nL 149.023992 129.642515 \nL 151.845745 132.254064 \nL 154.486571 134.881625 \nL 156.930851 137.505769 \nL 159.167931 140.110739 \nL 161.1915 142.683922 \nL 162.998936 145.215252 \nL 164.590621 147.696707 \nL 165.969301 150.121817 \nL 167.139487 152.485294 \nL 168.106912 154.782652 \nL 168.878073 157.009959 \nL 169.459816 159.163593 \nL 169.859012 161.240043 \nL 170.082276 163.235769 \nL 170.135761 165.147057 \nL 170.024996 166.969906 \nL 169.754763 168.699907 \nL 169.329036 170.332165 \nL 168.75092 171.861167 \nL 168.02266 173.280711 \nL 167.145644 174.583772 \nL 166.120442 175.762431 \nL 164.94688 176.807739 \nL 163.624121 177.709597 \nL 162.150777 178.456684 \nL 160.525045 179.036311 \nL 158.744877 179.434352 \nL 156.808182 179.635172 \nL 154.713067 179.621602 \nL 152.458119 179.374932 \nL 150.042748 178.87502 \nL 147.467587 178.10047 \nL 144.734952 177.028937 \nL 141.849365 175.637617 \nL 138.818177 173.903924 \nL 135.652216 171.806412 \nL 132.366557 169.326 \nL 128.981257 166.447512 \nL 125.522161 163.161532 \nL 122.021671 159.466625 \nL 118.51936 155.371771 \nL 115.062485 150.898982 \nL 111.706124 146.085854 \nL 108.512966 140.987783 \nL 105.552542 135.679528 \nL 102.89979 130.25562 \nL 100.632875 124.82925 \nL 98.830222 119.529215 \nL 97.566821 114.494786 \nL 96.909958 109.868506 \nL 96.914698 105.78735 \nL 97.619447 102.37313 \nL 99.042201 99.723258 \nL 101.177865 97.903083 \nL 103.997137 96.941078 \nL 107.4472 96.827569 \nL 111.454255 97.517389 \nL 115.927632 98.93572 \nL 120.765075 100.986432 \nL 125.858608 103.56135 \nL 131.100289 106.549253 \nL 136.387385 109.843539 \nL 141.626512 113.34782 \nL 146.736536 116.979368 \nL 151.650242 120.670515 \nL 156.314856 124.36843 \nL 160.691625 128.033806 \nL 164.754731 131.638908 \nL 168.489769 135.16538 \nL 171.892002 138.60215 \nL 174.964557 141.943491 \nL 177.716705 145.187465 \nL 180.162271 148.334626 \nL 182.318254 151.387102 \nL 184.203637 154.347876 \nL 185.838425 157.220314 \nL 187.242863 160.007869 \nL 188.43683 162.713872 \nL 189.439389 165.341425 \nL 190.268462 167.893365 \nL 190.940611 170.372231 \nL 191.872849 175.119556 \nL 192.337844 179.598455 \nL 192.412606 183.820361 \nL 192.151024 187.793452 \nL 191.586182 191.522675 \nL 190.732689 195.009363 \nL 189.588667 198.25041 \nL 188.137198 201.23692 \nL 187.286993 202.629882 \nL 186.347177 203.952194 \nL 185.311692 205.200082 \nL 184.173612 206.368867 \nL 182.925119 207.452798 \nL 181.557497 208.444876 \nL 180.061119 209.336622 \nL 178.425429 210.117841 \nL 176.638952 210.776306 \nL 174.689304 211.297435 \nL 172.563224 211.663895 \nL 170.246649 211.855178 \nL 167.724818 211.84712 \nL 164.982445 211.611383 \nL 162.003968 211.114927 \nL 158.773901 210.319477 \nL 155.27731 209.181034 \nL 151.500471 207.649511 \nL 147.431726 205.668571 \nL 143.062591 203.175795 \nL 138.389177 200.103375 \nL 133.413958 196.379565 \nL 128.147944 191.931158 \nL 122.61323 186.68733 \nL 116.846004 180.585223 \nL 110.899795 173.577539 \nL 104.848925 165.642363 \nL 98.791776 156.795032 \nL 92.853409 147.101495 \nL 87.186948 136.691777 \nL 81.97279 125.771346 \nL 77.414835 114.627127 \nL 73.732757 103.624564 \nL 71.149854 93.191903 \nL 69.876501 83.789726 \nL 70.090249 75.866581 \nL 71.915013 69.805924 \nL 75.402418 65.87389 \nL 80.519291 64.179734 \nL 87.144399 64.659831 \nL 95.076243 67.090325 \nL 104.051008 71.125921 \nL 113.767717 76.354709 \nL 123.91584 82.355536 \nL 134.200695 88.745372 \nL 163.524037 107.507738 \nL 200.361301 131.171158 \nL 210.539931 137.993121 \nL 218.625905 143.718267 \nL 225.0699 148.573666 \nL 238.535198 159.150392 \nL 242.103527 161.49642 \nL 243.84419 162.446147 \nL 245.583172 163.241213 \nL 247.337449 163.875825 \nL 249.121393 164.343215 \nL 250.946908 164.635763 \nL 252.823524 164.745162 \nL 254.758438 164.662576 \nL 256.756538 164.378864 \nL 258.820356 163.884839 \nL 260.949993 163.171581 \nL 263.142999 162.230827 \nL 265.394242 161.055458 \nL 267.69573 159.640059 \nL 270.036419 157.981552 \nL 272.402063 156.079954 \nL 274.775037 153.939154 \nL 277.134254 151.567765 \nL 279.455128 148.979962 \nL 281.709676 146.196244 \nL 283.866732 143.244092 \nL 285.892353 140.158367 \nL 287.750423 136.981411 \nL 289.403483 133.762712 \nL 290.813789 130.558088 \nL 291.944592 127.428289 \nL 292.76157 124.437087 \nL 293.234421 121.648824 \nL 293.338423 119.125619 \nL 293.05595 116.924425 \nL 292.377761 115.094134 \nL 291.303946 113.673052 \nL 289.844435 112.687001 \nL 288.019005 112.148253 \nL 285.85672 112.05544 \nL 283.39488 112.394274 \nL 280.677521 113.139259 \nL 277.753588 114.255891 \nL 274.674924 115.703274 \nL 271.494272 117.436787 \nL 268.263371 119.410562 \nL 265.031308 121.579645 \nL 261.84317 123.901655 \nL 258.739099 126.33795 \nL 255.75368 128.854285 \nL 252.915685 131.421059 \nL 250.248101 134.013228 \nL 247.768422 136.610012 \nL 245.489093 139.194414 \nL 243.418074 141.752678 \nL 241.559478 144.273763 \nL 239.914215 146.748809 \nL 238.480639 149.170664 \nL 237.255147 151.533457 \nL 236.232722 153.832259 \nL 235.407417 156.062779 \nL 234.772784 158.221113 \nL 234.322214 160.303544 \nL 234.049234 162.30638 \nL 233.947735 164.22581 \nL 234.012154 166.057768 \nL 234.237595 167.797818 \nL 234.619926 169.441081 \nL 235.15583 170.982097 \nL 235.842826 172.41474 \nL 236.67926 173.732106 \nL 237.664269 174.926427 \nL 238.79773 175.988953 \nL 240.08018 176.909823 \nL 241.512705 177.678007 \nL 243.096803 178.281158 \nL 244.83423 178.705542 \nL 246.726811 178.936004 \nL 248.77619 178.95587 \nL 250.983566 178.747027 \nL 253.349365 178.289976 \nL 255.87285 177.563994 \nL 258.55169 176.547465 \nL 261.381433 175.218308 \nL 264.354934 173.554631 \nL 267.461714 171.53562 \nL 270.687239 169.14268 \nL 274.012197 166.360885 \nL 277.411728 163.180775 \nL 280.854704 159.600402 \nL 284.303101 155.627696 \nL 287.711503 151.282933 \nL 291.02696 146.60119 \nL 294.189137 141.634503 \nL 297.131011 136.453429 \nL 299.780194 131.147558 \nL 302.060949 125.824614 \nL 303.89696 120.607771 \nL 305.214795 115.630968 \nL 305.947949 111.032271 \nL 306.041191 106.945611 \nL 305.454823 103.491676 \nL 304.168393 100.768951 \nL 302.183447 98.846153 \nL 299.524823 97.757139 \nL 296.240281 97.499103 \nL 292.398332 98.034502 \nL 288.084545 99.296121 \nL 283.396598 101.194669 \nL 278.438782 103.627469 \nL 273.316355 106.487253 \nL 268.130491 109.669687 \nL 262.974065 113.079172 \nL 257.928623 116.63257 \nL 253.062538 120.260956 \nL 248.430283 123.909729 \nL 244.072641 127.537586 \nL 240.01762 131.11478 \nL 236.281838 134.621095 \nL 232.872162 138.043783 \nL 229.787423 141.375716 \nL 227.020122 144.613785 \nL 224.557974 147.757623 \nL 222.385309 150.808604 \nL 220.484249 153.769147 \nL 218.835708 156.642175 \nL 217.420194 159.430789 \nL 216.218431 162.13803 \nL 215.211838 164.766789 \nL 214.382881 167.319703 \nL 213.715309 169.799141 \nL 213.194308 172.207205 \nL 212.540422 176.816318 \nL 212.33352 181.158842 \nL 212.50998 185.242904 \nL 213.028474 189.07299 \nL 213.867789 192.649598 \nL 215.024775 195.96836 \nL 216.512714 199.018607 \nL 217.389151 200.437475 \nL 218.360217 201.781244 \nL 219.431788 203.045709 \nL 220.610652 204.2257 \nL 221.904506 205.314903 \nL 223.321963 206.305674 \nL 224.872553 207.188811 \nL 226.566711 207.953291 \nL 228.415767 208.585959 \nL 230.431907 209.0712 \nL 232.628118 209.390548 \nL 235.018085 209.522262 \nL 237.616052 209.440855 \nL 240.436602 209.116624 \nL 243.494362 208.515153 \nL 246.803588 207.596858 \nL 250.377619 206.316624 \nL 254.22814 204.623579 \nL 258.364228 202.461152 \nL 262.791154 199.767522 \nL 267.508854 196.476689 \nL 272.51007 192.520371 \nL 277.778128 187.831023 \nL 283.284326 182.346276 \nL 288.985005 176.015125 \nL 294.81846 168.80605 \nL 300.701802 160.71706 \nL 306.528275 151.787365 \nL 312.165421 142.109772 \nL 317.454819 131.842145 \nL 322.214215 121.215544 \nL 326.242827 110.535854 \nL 329.330503 100.175618 \nL 331.270974 90.553225 \nL 331.878721 82.099005 \nL 331.007865 75.210547 \nL 328.57075 70.20382 \nL 324.552861 67.26968 \nL 319.02082 66.446288 \nL 312.121125 67.615094 \nL 304.069005 70.522266 \nL 295.128946 74.820512 \nL 285.590301 80.120547 \nL 275.742371 86.040608 \nL 265.852758 92.244322 \nL 246.823781 104.500575 \nL 215.309235 125.096992 \nL 203.444415 133.10708 \nL 193.928917 139.866606 \nL 186.3628 145.628871 \nL 180.314763 150.590584 \nL 171.203323 158.579618 \nL 167.490529 161.712783 \nL 164.001761 164.280437 \nL 162.280432 165.344501 \nL 160.547619 166.255169 \nL 158.786355 167.005725 \nL 156.982033 167.588317 \nL 155.122271 167.994049 \nL 153.196834 168.213085 \nL 151.197601 168.234755 \nL 149.118581 168.047727 \nL 146.955979 167.640218 \nL 144.708309 167.000282 \nL 142.376557 166.116171 \nL 139.964393 164.976794 \nL 137.478416 163.572306 \nL 134.928429 161.89482 \nL 132.327733 159.939211 \nL 129.693412 157.704103 \nL 127.046576 155.192912 \nL 124.412566 152.414979 \nL 121.821037 149.38671 \nL 119.305904 146.132654 \nL 116.90508 142.686391 \nL 114.659995 139.091099 \nL 112.614818 135.399695 \nL 110.815379 131.674343 \nL 109.307736 127.985246 \nL 108.136488 124.408667 \nL 107.342828 121.024107 \nL 106.962434 117.910843 \nL 107.023375 115.144001 \nL 107.544189 112.790479 \nL 108.532248 110.905073 \nL 109.982726 109.527416 \nL 111.878161 108.679808 \nL 114.188779 108.366454 \nL 116.873587 108.574058 \nL 119.882105 109.273722 \nL 123.156673 110.42378 \nL 126.635044 111.973444 \nL 130.253093 113.866471 \nL 133.947419 116.044791 \nL 137.657636 118.451556 \nL 141.328245 121.033532 \nL 144.909973 123.74273 \nL 148.360639 126.537325 \nL 151.645514 129.381916 \nL 154.737274 132.24733 \nL 157.615618 135.11013 \nL 160.266667 137.951884 \nL 162.682186 140.758356 \nL 164.858758 143.518764 \nL 166.796905 146.225006 \nL 168.500273 148.871067 \nL 169.974854 151.452436 \nL 171.228279 153.965677 \nL 172.269227 156.408082 \nL 173.106902 158.777378 \nL 173.750595 161.071497 \nL 174.209346 163.288422 \nL 174.491667 165.426035 \nL 174.605331 167.482011 \nL 174.557222 169.453719 \nL 174.353222 171.338124 \nL 173.998152 173.131707 \nL 173.495732 174.830383 \nL 172.848581 176.429393 \nL 172.05823 177.923208 \nL 171.12515 179.305437 \nL 170.048817 180.568671 \nL 168.827779 181.704409 \nL 167.459732 182.702858 \nL 165.941633 183.552841 \nL 164.269824 184.241601 \nL 162.440192 184.754698 \nL 160.448342 185.075819 \nL 158.289819 185.186705 \nL 155.960389 185.06701 \nL 153.456345 184.694312 \nL 150.774914 184.04414 \nL 147.914715 183.090141 \nL 144.876318 181.8044 \nL 141.662885 180.157967 \nL 138.280947 178.121661 \nL 134.741234 175.667208 \nL 131.059652 172.768768 \nL 127.258303 169.404928 \nL 123.366563 165.561205 \nL 119.422116 161.232985 \nL 115.4719 156.428974 \nL 111.572822 151.174833 \nL 107.792081 145.516849 \nL 104.206932 139.525131 \nL 100.903708 133.295877 \nL 97.975872 126.951901 \nL 95.52103 120.640882 \nL 93.636746 114.530657 \nL 92.41536 108.801332 \nL 91.938013 103.634356 \nL 92.268359 99.199412 \nL 93.446634 95.64058 \nL 95.48485 93.06368 \nL 98.363828 91.526851 \nL 102.032696 91.036056 \nL 106.411038 91.546367 \nL 111.393654 92.968902 \nL 116.857281 95.181897 \nL 122.668515 98.044192 \nL 128.691927 101.408715 \nL 134.797519 105.134119 \nL 140.866748 109.093427 \nL 146.796833 113.179232 \nL 152.503188 117.30571 \nL 157.920199 121.408066 \nL 163.000651 125.440347 \nL 167.714174 129.372337 \nL 172.045097 133.186205 \nL 175.990041 136.873336 \nL 179.555465 140.431604 \nL 182.755366 143.863152 \nL 185.60921 147.172673 \nL 188.140149 150.366215 \nL 190.373553 153.450333 \nL 192.335816 156.431537 \nL 194.053431 159.315989 \nL 195.552302 162.109346 \nL 196.857234 164.816673 \nL 198.977144 169.990724 \nL 200.5799 174.868177 \nL 201.804308 179.472582 \nL 203.170818 185.90756 \nL 206.842173 205.321978 \nL 207.665323 208.22457 \nL 208.622938 210.946821 \nL 209.751401 213.488363 \nL 211.091828 215.844641 \nL 212.691988 218.005295 \nL 214.608304 219.951825 \nL 215.705536 220.835979 \nL 216.907963 221.654192 \nL 218.226026 222.400109 \nL 219.67112 223.065926 \nL 221.255655 223.642118 \nL 222.993119 224.117109 \nL 224.898122 224.476878 \nL 226.986435 224.704503 \nL 229.274987 224.779628 \nL 231.781841 224.677852 \nL 234.526103 224.370035 \nL 237.527757 223.821537 \nL 240.807422 222.991386 \nL 244.385948 221.831411 \nL 248.283841 220.285404 \nL 252.52048 218.288392 \nL 257.113008 215.766157 \nL 262.074875 212.635184 \nL 267.413923 208.803342 \nL 273.129938 204.17168 \nL 279.211545 198.637791 \nL 285.632479 192.101366 \nL 292.347164 184.472601 \nL 299.28572 175.683998 \nL 306.348685 165.706005 \nL 313.401935 154.566272 \nL 320.272633 142.371371 \nL 326.747334 129.328434 \nL 332.573785 115.762216 \nL 337.467949 102.121401 \nL 341.127976 88.96687 \nL 343.255613 76.935806 \nL 343.584433 66.679458 \nL 341.912224 58.779999 \nL 338.132239 53.661062 \nL 332.256886 51.513691 \nL 324.427334 52.259958 \nL 314.904987 55.567778 \nL 304.045183 60.914399 \nL 292.258114 67.680222 \nL 279.965381 75.246059 \nL 255.381531 90.732204 \nL 243.692957 97.945107 \nL 232.684773 104.542 \nL 222.47672 110.451226 \nL 213.129264 115.668103 \nL 204.656298 120.229733 \nL 190.229445 127.63292 \nL 178.804995 133.189401 \nL 166.135455 139.055758 \nL 157.300494 142.881614 \nL 152.843197 144.607616 \nL 149.163917 145.79569 \nL 146.03162 146.507171 \nL 143.278809 146.782159 \nL 140.790997 146.650262 \nL 138.497339 146.138464 \nL 136.362616 145.277142 \nL 134.380359 144.104687 \nL 132.56671 142.67084 \nL 130.954614 141.038702 \nL 129.587981 139.284963 \nL 128.515514 137.498113 \nL 127.784329 135.774426 \nL 127.43348 134.211946 \nL 127.488002 132.903005 \nL 127.67005 132.368974 \nL 127.9541 131.926431 \nL 128.337494 131.581991 \nL 128.816151 131.34067 \nL 129.384592 131.205816 \nL 130.762576 131.260349 \nL 132.403907 131.738942 \nL 134.227352 132.61115 \nL 136.14418 133.827661 \nL 138.064533 135.326202 \nL 139.903206 137.037413 \nL 141.584071 138.889793 \nL 143.042942 140.813231 \nL 144.228874 142.74124 \nL 145.104202 144.611888 \nL 145.643661 146.367934 \nL 145.833051 147.956451 \nL 145.667808 149.328238 \nL 145.151786 150.437384 \nL 144.765526 150.87997 \nL 144.296444 151.241106 \nL 143.747118 151.516 \nL 143.120601 151.700123 \nL 141.650697 151.779632 \nL 139.921589 151.451163 \nL 137.977718 150.695257 \nL 135.874407 149.505047 \nL 133.678993 147.890554 \nL 131.471295 145.883283 \nL 129.343036 143.540442 \nL 127.395522 140.947648 \nL 125.735221 138.218959 \nL 124.467073 135.492876 \nL 123.685683 132.923778 \nL 123.501813 131.747521 \nL 123.465374 130.668811 \nL 123.580874 129.705097 \nL 123.850463 128.871981 \nL 124.273725 128.182785 \nL 124.847638 127.648155 \nL 125.566545 127.275791 \nL 126.422243 127.070323 \nL 127.404149 127.033247 \nL 128.499564 127.163042 \nL 129.69396 127.455342 \nL 130.971349 127.903242 \nL 133.706324 129.227777 \nL 136.562828 131.045208 \nL 139.401257 133.248812 \nL 142.09437 135.728037 \nL 144.534247 138.376841 \nL 146.635685 141.098438 \nL 148.336451 143.806996 \nL 149.595217 146.427081 \nL 150.38824 148.891908 \nL 150.70563 151.141013 \nL 150.685796 152.166933 \nL 150.547892 153.117975 \nL 150.293161 153.987389 \nL 149.923215 154.768484 \nL 149.439996 155.454579 \nL 148.845779 156.03899 \nL 148.14318 156.515028 \nL 147.335185 156.876045 \nL 146.425188 157.115444 \nL 145.417057 157.22674 \nL 144.315215 157.203669 \nL 143.124722 157.040267 \nL 141.85139 156.73104 \nL 140.501885 156.271135 \nL 139.083856 155.656526 \nL 137.606039 154.884292 \nL 136.07841 153.952851 \nL 134.512247 152.862307 \nL 132.920269 151.614744 \nL 131.316667 150.214597 \nL 129.717144 148.668957 \nL 128.138918 146.987909 \nL 126.600626 145.184799 \nL 125.12218 143.276434 \nL 123.724558 141.283168 \nL 122.429494 139.228892 \nL 121.259075 137.140822 \nL 120.23525 135.049129 \nL 119.379271 132.986342 \nL 118.711065 130.986617 \nL 118.248535 129.084754 \nL 118.006892 127.315114 \nL 117.997992 125.710447 \nL 118.229727 124.300687 \nL 118.705541 123.111844 \nL 119.424085 122.165014 \nL 120.379075 121.475638 \nL 121.559297 121.053014 \nL 122.948892 120.900173 \nL 124.527763 121.014049 \nL 126.272206 121.385927 \nL 128.155668 122.002193 \nL 130.14958 122.845212 \nL 132.224235 123.894332 \nL 134.349673 125.126882 \nL 136.496459 126.519142 \nL 140.743243 129.687623 \nL 144.76392 133.217615 \nL 148.398429 136.948795 \nL 151.531164 140.748393 \nL 154.088138 144.510197 \nL 155.137317 146.349853 \nL 156.030061 148.149777 \nL 156.765445 149.901832 \nL 157.343623 151.598492 \nL 157.765574 153.232672 \nL 158.032893 154.797579 \nL 158.147583 156.286575 \nL 158.111914 157.693046 \nL 157.928277 159.0103 \nL 157.599102 160.231477 \nL 157.126783 161.349459 \nL 156.513639 162.356794 \nL 155.761913 163.245639 \nL 154.873793 164.007705 \nL 153.851453 164.634251 \nL 152.697129 165.116039 \nL 151.413231 165.443381 \nL 150.002458 165.606159 \nL 148.467961 165.593906 \nL 146.813531 165.395932 \nL 145.043801 165.001488 \nL 143.164482 164.400021 \nL 141.182625 163.581474 \nL 139.106899 162.536661 \nL 136.947896 161.25779 \nL 134.718398 159.738999 \nL 132.433696 157.977048 \nL 130.111875 155.972076 \nL 127.773999 153.728431 \nL 125.444314 151.255504 \nL 123.150297 148.568625 \nL 120.922606 145.689786 \nL 118.794858 142.648307 \nL 116.803211 139.481168 \nL 114.985727 136.233033 \nL 113.381502 132.955803 \nL 112.029561 129.707643 \nL 110.967497 126.551441 \nL 110.229996 123.55266 \nL 109.847195 120.776752 \nL 109.843085 118.28618 \nL 110.234009 116.137365 \nL 111.02741 114.377774 \nL 112.220954 113.043438 \nL 113.802135 112.157174 \nL 115.748419 111.727748 \nL 118.027944 111.749981 \nL 120.600761 112.205845 \nL 123.420456 113.066304 \nL 126.43612 114.29383 \nL 129.594416 115.845083 \nL 132.841652 117.673665 \nL 136.125668 119.732649 \nL 139.397451 121.976627 \nL 142.612406 124.363295 \nL 145.731245 126.854456 \nL 148.720492 129.416616 \nL 151.552653 132.021082 \nL 154.206101 134.64379 \nL 156.66472 137.264943 \nL 158.917403 139.868469 \nL 160.957437 142.441464 \nL 162.781845 144.973632 \nL 164.390716 147.456752 \nL 165.786553 149.884213 \nL 166.973685 152.250595 \nL 167.957708 154.551327 \nL 168.745022 156.782412 \nL 169.342416 158.940173 \nL 169.756733 161.021074 \nL 169.994584 163.02156 \nL 170.062146 164.937923 \nL 169.964987 166.766155 \nL 169.707942 168.501882 \nL 169.295044 170.140215 \nL 168.729472 171.675694 \nL 168.013545 173.102151 \nL 167.148721 174.412638 \nL 166.135648 175.599277 \nL 164.974222 176.653198 \nL 163.663681 177.564405 \nL 162.202696 178.32166 \nL 160.589523 178.912386 \nL 158.822158 179.322578 \nL 156.898543 179.536744 \nL 154.816806 179.537838 \nL 152.57553 179.307308 \nL 152.57553 179.307308 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p71480df29c\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:46:13.325426</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mb38ed199d8\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.406494\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(25.85415 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"76.575344\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −15 -->\n      <g transform=\"translate(66.023 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"116.744194\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −10 -->\n      <g transform=\"translate(106.191851 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"156.913045\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −5 -->\n      <g transform=\"translate(149.541951 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"197.081895\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0 -->\n      <g transform=\"translate(193.900645 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"237.250745\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5 -->\n      <g transform=\"translate(234.069495 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"277.419595\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(271.057095 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.588446\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 15 -->\n      <g transform=\"translate(311.225946 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"357.757296\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(351.394796 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"ma6045cee36\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#ma6045cee36\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#ma6045cee36\" y=\"216.500274\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.299493)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#ma6045cee36\" y=\"171.784549\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.583768)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#ma6045cee36\" y=\"127.068823\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 130.868042)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#ma6045cee36\" y=\"82.353098\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 86.152317)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#ma6045cee36\" y=\"37.637372\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 41.436591)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p95860c3296)\" d=\"M 205.115665 261.216 \nL 203.592116 261.157948 \nL 203.724131 261.123887 \nL 207.457636 260.682409 \nL 211.206001 260.143035 \nL 216.557976 259.112729 \nL 221.264131 257.943287 \nL 227.111728 256.140973 \nL 230.537931 254.903542 \nL 234.343413 253.370828 \nL 238.563859 251.47486 \nL 243.236198 249.133452 \nL 248.397623 246.248011 \nL 254.084123 242.701454 \nL 260.328389 238.356581 \nL 267.156805 233.055418 \nL 274.585378 226.620349 \nL 282.614245 218.858194 \nL 291.220574 209.56882 \nL 300.349608 198.560235 \nL 309.903899 185.672396 \nL 319.731096 170.811646 \nL 329.611213 153.996511 \nL 339.245338 135.412868 \nL 348.248898 115.471603 \nL 356.153692 94.854956 \nL 362.424007 74.53049 \nL 366.491689 55.707118 \nL 367.812273 39.712816 \nL 365.938858 27.793325 \nL 360.602324 20.865598 \nL 351.778674 19.296 \nL 339.721506 22.788188 \nL 324.943804 30.436859 \nL 308.148626 40.937712 \nL 271.647675 64.986505 \nL 253.378559 76.318819 \nL 235.83361 86.27705 \nL 219.365837 94.578792 \nL 204.183504 101.171557 \nL 190.380601 106.147287 \nL 177.970175 109.674392 \nL 166.914003 111.952157 \nL 157.145854 113.184354 \nL 148.587996 113.566327 \nL 141.161867 113.280133 \nL 134.794112 112.49379 \nL 129.419277 111.362097 \nL 124.980146 110.027452 \nL 121.426558 108.620107 \nL 118.713317 107.257624 \nL 116.797703 106.043593 \nL 115.636909 105.065983 \nL 115.185817 104.395479 \nL 115.395216 104.084193 \nL 116.210732 104.165063 \nL 117.572406 104.652265 \nL 119.415097 105.542575 \nL 121.669454 106.817654 \nL 124.263427 108.447005 \nL 127.124084 110.391378 \nL 133.360937 115.044564 \nL 139.850048 120.409687 \nL 146.153189 126.155981 \nL 149.129433 129.088642 \nL 151.947347 132.026711 \nL 154.584612 134.950485 \nL 157.025195 137.844409 \nL 159.258624 140.696464 \nL 161.279164 143.497525 \nL 163.085019 146.240786 \nL 164.677536 148.92119 \nL 166.060484 151.534992 \nL 167.239388 154.079394 \nL 168.22095 156.552206 \nL 169.01255 158.951627 \nL 169.621831 161.276036 \nL 170.056351 163.52384 \nL 170.323308 165.693357 \nL 170.429322 167.782703 \nL 170.380278 169.789711 \nL 170.181201 171.711841 \nL 169.83618 173.546097 \nL 169.348314 175.288967 \nL 168.719693 176.936314 \nL 167.951393 178.483285 \nL 167.043498 179.924225 \nL 165.995126 181.252542 \nL 164.804485 182.460602 \nL 163.468938 183.539596 \nL 161.985078 184.479381 \nL 160.348836 185.268333 \nL 158.5556 185.893216 \nL 156.600371 186.338985 \nL 154.477951 186.588667 \nL 152.18316 186.623226 \nL 149.711121 186.421485 \nL 147.057603 185.960074 \nL 144.219417 185.213501 \nL 141.194923 184.154346 \nL 137.984613 182.753577 \nL 134.591792 180.981146 \nL 131.023402 178.806853 \nL 127.290916 176.201545 \nL 123.411365 173.138776 \nL 119.408431 169.596925 \nL 115.313582 165.561842 \nL 111.16717 161.030022 \nL 107.019425 156.012193 \nL 102.93118 150.537185 \nL 98.974185 144.6557 \nL 95.230796 138.44362 \nL 91.79286 132.004195 \nL 88.759556 125.468351 \nL 86.234094 118.992533 \nL 84.319191 112.753323 \nL 83.111478 106.93873 \nL 82.695062 101.736372 \nL 83.134884 97.319469 \nL 84.470531 93.83233 \nL 86.711281 91.377387 \nL 89.83326 90.005931 \nL 93.779237 89.714312 \nL 98.461257 90.446258 \nL 103.765957 92.100974 \nL 109.561934 94.545546 \nL 115.708208 97.629271 \nL 122.062778 101.197792 \nL 128.490285 105.104942 \nL 134.868185 109.22122 \nL 141.090974 113.438633 \nL 147.072504 117.672234 \nL 152.746551 121.859096 \nL 158.066023 125.955647 \nL 163.00122 129.934295 \nL 167.537516 133.779807 \nL 171.672799 137.486009 \nL 175.414934 141.052953 \nL 178.779374 144.484679 \nL 181.787054 147.78751 \nL 184.462575 150.968847 \nL 186.832719 154.036349 \nL 188.925251 156.997437 \nL 190.767998 159.859002 \nL 192.388152 162.627262 \nL 193.811781 165.307733 \nL 196.166222 170.42401 \nL 198.007708 175.239449 \nL 199.484588 179.778032 \nL 201.276834 186.1059 \nL 203.873877 195.475155 \nL 204.973304 198.833862 \nL 206.190729 201.97525 \nL 207.577924 204.897293 \nL 209.188069 207.592584 \nL 211.078575 210.046423 \nL 212.14871 211.175566 \nL 213.313703 212.234102 \nL 214.583056 213.216749 \nL 215.966994 214.11702 \nL 217.476527 214.927026 \nL 219.123506 215.637211 \nL 220.920669 216.236068 \nL 222.881669 216.709781 \nL 225.021081 217.041839 \nL 227.354386 217.212578 \nL 229.897904 217.198681 \nL 232.668675 216.972606 \nL 235.684274 216.501997 \nL 238.962511 215.749032 \nL 242.52103 214.669817 \nL 246.376722 213.213837 \nL 250.544947 211.323537 \nL 255.038487 208.93418 \nL 259.866191 205.974158 \nL 265.031248 202.365948 \nL 270.529005 198.028052 \nL 276.344351 192.878262 \nL 282.448547 186.838665 \nL 288.795624 179.842852 \nL 295.318442 171.845633 \nL 301.924641 162.835408 \nL 308.492946 152.848878 \nL 314.870447 141.987092 \nL 320.871717 130.43075 \nL 326.280853 118.451651 \nL 330.857617 106.415912 \nL 334.34861 94.774256 \nL 336.503894 84.035498 \nL 337.098542 74.721894 \nL 335.957055 67.31007 \nL 332.977337 62.166526 \nL 328.149578 59.491709 \nL 321.565766 59.287324 \nL 313.416398 61.357156 \nL 303.974158 65.342465 \nL 293.567046 70.782846 \nL 282.546141 77.186254 \nL 271.254076 84.091601 \nL 238.570655 104.428571 \nL 219.613858 115.872391 \nL 203.64978 125.20985 \nL 168.364344 145.620006 \nL 157.334823 152.03862 \nL 153.015401 154.270594 \nL 149.12235 155.898657 \nL 147.271522 156.48673 \nL 145.457432 156.922034 \nL 143.663885 157.201925 \nL 141.877737 157.323239 \nL 140.08873 157.282506 \nL 138.289361 157.07621 \nL 136.474784 156.701026 \nL 134.642719 156.15413 \nL 132.793423 155.433477 \nL 130.929624 154.538127 \nL 129.056516 153.46861 \nL 127.181738 152.227321 \nL 125.315326 150.818884 \nL 123.46967 149.250557 \nL 121.65941 147.532617 \nL 119.90131 145.678667 \nL 118.214072 143.705927 \nL 116.618038 141.635379 \nL 115.134852 139.49179 \nL 113.786985 137.303569 \nL 112.597223 135.102427 \nL 111.587999 132.922811 \nL 110.780696 130.801107 \nL 110.19489 128.774678 \nL 109.847551 126.880686 \nL 109.752272 125.154814 \nL 109.918567 123.629966 \nL 110.351286 122.334997 \nL 111.050154 121.293591 \nL 112.00954 120.523385 \nL 113.218418 120.035381 \nL 114.660584 119.833742 \nL 116.315091 119.915918 \nL 118.156886 120.273123 \nL 120.157606 120.891115 \nL 122.286481 121.751164 \nL 124.511341 122.831163 \nL 126.799539 124.106746 \nL 129.118881 125.552369 \nL 131.438446 127.142274 \nL 135.964705 130.655451 \nL 140.177934 134.461757 \nL 143.925257 138.405854 \nL 147.102021 142.363666 \nL 148.455661 144.316627 \nL 149.646327 146.238611 \nL 150.671507 148.120775 \nL 151.530184 149.955159 \nL 152.222548 151.73449 \nL 152.749712 153.451978 \nL 153.113462 155.101176 \nL 153.31605 156.675806 \nL 153.36 158.169634 \nL 153.247965 159.576365 \nL 152.982598 160.889509 \nL 152.566477 162.102328 \nL 152.002055 163.207718 \nL 151.291621 164.198164 \nL 150.437326 165.065668 \nL 149.441199 165.801707 \nL 148.305225 166.397191 \nL 147.031423 166.842474 \nL 145.621976 167.127363 \nL 144.079362 167.241138 \nL 142.406544 167.17266 \nL 140.607167 166.910483 \nL 138.685791 166.443068 \nL 136.648158 165.759003 \nL 134.501474 164.847355 \nL 132.254728 163.69811 \nL 129.919005 162.302671 \nL 127.507854 160.654522 \nL 125.037585 158.749945 \nL 122.527599 156.588889 \nL 120.000643 154.175864 \nL 117.48301 151.520902 \nL 115.00462 148.640531 \nL 112.598954 145.558632 \nL 110.302842 142.30712 \nL 108.155977 138.926361 \nL 106.200208 135.465184 \nL 104.478578 131.98034 \nL 103.034037 128.535401 \nL 101.90795 125.198976 \nL 101.138388 122.042262 \nL 100.758296 119.136082 \nL 100.793662 116.547552 \nL 101.26187 114.336584 \nL 102.170283 112.552742 \nL 103.515315 111.232459 \nL 105.282034 110.397297 \nL 107.444398 110.053107 \nL 109.966138 110.190421 \nL 112.802201 110.785871 \nL 115.900667 111.80454 \nL 119.205008 113.202827 \nL 122.656414 114.931591 \nL 126.196096 116.939247 \nL 129.76739 119.174454 \nL 133.317465 121.588356 \nL 136.798666 124.136145 \nL 140.169418 126.778032 \nL 143.39468 129.479707 \nL 146.446065 132.212316 \nL 149.301613 134.95214 \nL 151.945363 137.680092 \nL 154.366727 140.38105 \nL 156.55981 143.04321 \nL 158.522647 145.657447 \nL 160.256467 148.216716 \nL 161.764998 150.715549 \nL 163.053806 153.149639 \nL 164.129716 155.515473 \nL 165.000316 157.81004 \nL 165.673515 160.030611 \nL 166.157208 162.17455 \nL 166.458967 164.239154 \nL 166.585838 166.221548 \nL 166.544153 168.118552 \nL 166.339416 169.926608 \nL 165.976218 171.641657 \nL 165.458186 173.259076 \nL 164.787971 174.773569 \nL 163.967248 176.179072 \nL 162.996757 177.468642 \nL 161.87634 178.634357 \nL 160.605028 179.667175 \nL 159.181123 180.556844 \nL 157.602313 181.291758 \nL 155.865823 181.858841 \nL 153.968577 182.243441 \nL 151.907403 182.429225 \nL 149.679283 182.39812 \nL 147.281643 182.130314 \nL 144.712705 181.604298 \nL 141.971909 180.797008 \nL 139.06039 179.684147 \nL 135.981549 178.240588 \nL 132.741715 176.441095 \nL 129.350867 174.261224 \nL 125.823459 171.678595 \nL 122.179287 168.674505 \nL 118.444403 165.235938 \nL 114.652011 161.357939 \nL 110.843253 157.046359 \nL 107.067869 152.320823 \nL 103.384524 147.217698 \nL 99.860732 141.792847 \nL 96.572159 136.123628 \nL 93.601243 130.309794 \nL 91.034906 124.472676 \nL 88.96137 118.752199 \nL 87.466102 113.301438 \nL 86.626965 108.278714 \nL 86.50903 103.837624 \nL 87.159377 100.115959 \nL 88.602532 97.224833 \nL 90.837122 95.239471 \nL 93.834271 94.19322 \nL 97.538126 94.075795 \nL 101.868523 94.836022 \nL 106.725595 96.388665 \nL 111.99581 98.624076 \nL 117.558714 101.419167 \nL 123.293629 104.647933 \nL 129.085645 108.190441 \nL 134.830428 111.93921 \nL 140.437559 115.803137 \nL 145.832421 119.708829 \nL 150.956752 123.600158 \nL 155.768118 127.436502 \nL 160.238635 131.190304 \nL 164.353182 134.844455 \nL 168.107399 138.389752 \nL 171.505637 141.822681 \nL 174.55901 145.14361 \nL 177.28363 148.355361 \nL 179.699063 151.462173 \nL 181.827026 154.46895 \nL 183.690338 157.380766 \nL 185.31207 160.202561 \nL 186.714899 162.938965 \nL 187.920634 165.594217 \nL 188.949872 168.172138 \nL 190.553948 173.109309 \nL 191.66137 177.773728 \nL 192.380681 182.184174 \nL 192.796177 186.356196 \nL 192.97066 190.303044 \nL 192.948588 194.036223 \nL 192.759091 197.565836 \nL 192.418549 200.900679 \nL 191.932628 204.048182 \nL 191.297732 207.014204 \nL 190.501901 209.802668 \nL 189.525173 212.415003 \nL 188.339491 214.84929 \nL 186.908149 217.099038 \nL 185.184849 219.151382 \nL 183.112379 220.984483 \nL 181.923943 221.808646 \nL 180.62097 222.563782 \nL 179.192468 223.242704 \nL 177.626426 223.836636 \nL 175.909749 224.334917 \nL 174.028215 224.724642 \nL 171.96644 224.990239 \nL 169.707865 225.112978 \nL 167.234775 225.07041 \nL 164.528361 224.835735 \nL 161.568857 224.377071 \nL 158.33575 223.656677 \nL 154.808108 222.630132 \nL 150.96508 221.245508 \nL 146.786581 219.442608 \nL 142.254243 217.152377 \nL 137.352704 214.296676 \nL 132.071294 210.788599 \nL 126.406231 206.533702 \nL 120.363366 201.432538 \nL 113.961608 195.385039 \nL 107.236976 188.297328 \nL 100.247298 180.091596 \nL 93.077335 170.719484 \nL 85.843965 160.179141 \nL 78.70081 148.535336 \nL 71.841318 135.940821 \nL 65.49903 122.655674 \nL 59.94345 109.059445 \nL 55.470011 95.649486 \nL 52.382784 83.018877 \nL 50.970062 71.80931 \nL 51.47418 62.640184 \nL 54.059403 56.022976 \nL 58.783683 52.278607 \nL 65.580657 51.479607 \nL 74.257679 53.435852 \nL 84.511819 57.730434 \nL 95.961767 63.796492 \nL 108.18896 71.01263 \nL 145.616904 94.202243 \nL 157.314811 101.233647 \nL 168.288703 107.610018 \nL 178.440113 113.287502 \nL 187.724914 118.278473 \nL 196.140816 122.628867 \nL 210.497276 129.663009 \nL 221.927399 134.9115 \nL 230.96041 138.820254 \nL 238.114591 141.716173 \nL 243.843066 143.821323 \nL 248.516852 145.28066 \nL 252.425801 146.187524 \nL 255.78691 146.603314 \nL 258.754761 146.571748 \nL 261.431751 146.12922 \nL 263.877326 145.312447 \nL 266.116031 144.164165 \nL 268.144769 142.737255 \nL 269.939552 141.097286 \nL 271.46215 139.323123 \nL 272.666959 137.505506 \nL 273.508027 135.743182 \nL 273.946094 134.136995 \nL 273.955165 132.782401 \nL 273.795689 132.225834 \nL 273.527878 131.761489 \nL 273.154306 131.396361 \nL 272.679003 131.135822 \nL 272.10744 130.983548 \nL 271.446474 130.941458 \nL 269.889836 131.186901 \nL 268.08618 131.854369 \nL 266.124366 132.903715 \nL 264.098387 134.278105 \nL 262.1009 135.910279 \nL 260.217748 137.728212 \nL 258.523956 139.659629 \nL 257.081437 141.635038 \nL 255.938173 143.589364 \nL 255.128641 145.462452 \nL 254.674955 147.198891 \nL 254.588379 148.747389 \nL 254.870782 150.060183 \nL 255.148661 150.614098 \nL 255.515797 151.092549 \nL 255.970218 151.49042 \nL 256.509491 151.802789 \nL 257.130709 152.025008 \nL 258.604874 152.18182 \nL 260.359081 151.930466 \nL 262.350163 151.248738 \nL 264.524034 150.126043 \nL 266.81437 148.567652 \nL 269.141811 146.599424 \nL 271.414165 144.272362 \nL 273.528238 141.665964 \nL 275.373718 138.889141 \nL 276.839497 136.07747 \nL 277.822258 133.385621 \nL 278.104849 132.135266 \nL 278.23669 130.975138 \nL 278.211636 129.923898 \nL 278.025927 128.998569 \nL 277.678351 128.214052 \nL 277.17041 127.582704 \nL 276.506356 127.113984 \nL 275.693161 126.814246 \nL 274.74041 126.686629 \nL 273.660071 126.731107 \nL 272.466218 126.944618 \nL 271.174671 127.32132 \nL 269.802609 127.85294 \nL 266.889921 129.338094 \nL 263.876652 131.300957 \nL 260.906771 133.630092 \nL 258.109597 136.212942 \nL 255.593305 138.94353 \nL 253.442081 141.72651 \nL 251.716455 144.478138 \nL 250.455785 147.125279 \nL 249.681902 149.603242 \nL 249.403016 151.853331 \nL 249.44892 152.875624 \nL 249.617242 153.820459 \nL 249.906613 154.681198 \nL 250.31531 155.451217 \nL 250.841286 156.12387 \nL 251.482175 156.692488 \nL 252.235264 157.150402 \nL 253.097478 157.490917 \nL 254.065326 157.707404 \nL 255.134824 157.793324 \nL 256.301421 157.742347 \nL 257.559896 157.548435 \nL 258.904262 157.206036 \nL 260.327623 156.710211 \nL 261.822064 156.056902 \nL 263.378518 155.243139 \nL 264.986634 154.267353 \nL 266.634675 153.12969 \nL 268.309409 151.832342 \nL 269.996041 150.379896 \nL 271.678176 148.779696 \nL 273.33784 147.042157 \nL 274.955548 145.181051 \nL 276.51047 143.213711 \nL 277.980624 141.161141 \nL 279.343247 139.047974 \nL 280.575171 136.902252 \nL 281.65335 134.755064 \nL 282.555465 132.639901 \nL 283.26057 130.591903 \nL 283.749816 128.646822 \nL 284.007169 126.839926 \nL 284.02011 125.204759 \nL 283.780271 123.771895 \nL 283.283945 122.567801 \nL 282.532442 121.613807 \nL 281.532266 120.925366 \nL 280.295078 120.511547 \nL 278.837436 120.37494 \nL 277.180339 120.511828 \nL 275.348565 120.912718 \nL 273.369896 121.563085 \nL 271.274226 122.444337 \nL 269.092639 123.534844 \nL 266.856509 124.810999 \nL 264.596636 126.248203 \nL 262.342516 127.821776 \nL 257.959372 131.282927 \nL 253.896928 135.018238 \nL 250.299515 138.879145 \nL 247.265702 142.746355 \nL 245.979698 144.652195 \nL 244.853723 146.526145 \nL 243.89015 148.359489 \nL 243.089938 150.144338 \nL 242.452918 151.873408 \nL 241.97806 153.539877 \nL 241.663685 155.13721 \nL 241.50768 156.65903 \nL 241.507672 158.098989 \nL 241.661153 159.45065 \nL 241.965594 160.707401 \nL 242.418525 161.862352 \nL 243.017563 162.90827 \nL 243.760443 163.837514 \nL 244.644998 164.641989 \nL 245.669108 165.313098 \nL 246.830653 165.841733 \nL 248.12739 166.218256 \nL 249.556857 166.432561 \nL 251.116196 166.474113 \nL 252.801985 166.332048 \nL 254.610039 165.995338 \nL 256.535154 165.452988 \nL 258.570864 164.694339 \nL 260.709151 163.70941 \nL 262.940144 162.489359 \nL 265.251794 161.027028 \nL 267.629572 159.3176 \nL 270.056154 157.359333 \nL 272.511161 155.154396 \nL 274.970948 152.709747 \nL 277.408455 150.038043 \nL 279.793205 147.15849 \nL 282.09144 144.097572 \nL 284.266438 140.889591 \nL 286.279064 137.576876 \nL 288.088565 134.209559 \nL 289.653608 130.844843 \nL 290.933578 127.545671 \nL 291.890083 124.378808 \nL 292.488622 121.412321 \nL 292.70032 118.712651 \nL 292.503578 116.341392 \nL 291.885547 114.352175 \nL 290.843286 112.78778 \nL 289.384448 111.677955 \nL 287.527407 111.038035 \nL 285.300823 110.868601 \nL 282.742615 111.156194 \nL 279.898407 111.874937 \nL 276.819623 112.98889 \nL 273.561328 114.454862 \nL 270.180027 116.225315 \nL 266.731548 118.251163 \nL 263.269202 120.484144 \nL 259.842249 122.878703 \nL 256.494766 125.393331 \nL 253.264934 127.991346 \nL 250.184683 130.641165 \nL 247.279692 133.316256 \nL 244.569627 135.994783 \nL 242.068624 138.659084 \nL 239.785869 141.295087 \nL 237.726281 143.891694 \nL 235.891206 146.440225 \nL 234.279113 148.933838 \nL 232.886253 151.367119 \nL 231.707244 153.735656 \nL 230.735615 156.035742 \nL 229.964268 158.264099 \nL 229.38586 160.417676 \nL 228.993132 162.493452 \nL 228.779166 164.488324 \nL 228.737589 166.398957 \nL 228.862722 168.221683 \nL 229.149691 169.952416 \nL 229.594497 171.586552 \nL 230.194051 173.118845 \nL 230.946183 174.543341 \nL 231.849616 175.853278 \nL 232.90394 177.040963 \nL 234.109539 178.097653 \nL 235.467508 179.013481 \nL 236.979544 179.777299 \nL 238.647815 180.376587 \nL 240.474792 180.797349 \nL 242.463062 181.024037 \nL 244.615079 181.039483 \nL 246.932893 180.824906 \nL 249.417818 180.359973 \nL 252.070038 179.622918 \nL 254.888147 178.590842 \nL 257.868609 177.240137 \nL 261.005161 175.547084 \nL 264.288118 173.488758 \nL 267.703621 171.044151 \nL 271.23283 168.19567 \nL 274.851067 164.930972 \nL 278.527011 161.245136 \nL 282.221932 157.143178 \nL 285.889111 152.642727 \nL 289.473499 147.776798 \nL 292.911772 142.596282 \nL 296.132931 137.1719 \nL 299.059509 131.595109 \nL 301.609612 125.977557 \nL 303.699757 120.448612 \nL 305.248535 115.150697 \nL 306.180982 110.232349 \nL 306.433355 105.839447 \nL 305.957953 102.105108 \nL 304.727454 99.139679 \nL 302.738234 97.021932 \nL 300.012183 95.792873 \nL 296.596657 95.453238 \nL 292.562442 95.96502 \nL 287.999859 97.256816 \nL 283.013514 99.232063 \nL 277.716161 101.778777 \nL 272.222464 104.779413 \nL 266.643233 108.119481 \nL 261.080658 111.694194 \nL 255.624779 115.41272 \nL 250.351327 119.200202 \nL 245.32082 122.997885 \nL 240.57873 126.761904 \nL 236.15645 130.461318 \nL 232.072783 134.075724 \nL 228.335749 137.59297 \nL 224.944472 141.006974 \nL 221.891037 144.315979 \nL 219.162201 147.521086 \nL 216.740923 150.625151 \nL 214.607658 153.632005 \nL 212.741445 156.545895 \nL 211.120783 159.37111 \nL 209.724312 162.111787 \nL 208.531333 164.771772 \nL 207.522186 167.354572 \nL 206.678513 169.863341 \nL 205.421565 174.669764 \nL 204.64415 179.210173 \nL 204.254897 183.499843 \nL 204.185834 187.551028 \nL 204.3899 191.373509 \nL 204.838271 194.974742 \nL 205.517953 198.359739 \nL 206.429871 201.530594 \nL 207.587552 204.485704 \nL 209.016409 207.218555 \nL 210.753599 209.715951 \nL 211.752727 210.869794 \nL 212.848404 211.95546 \nL 214.048815 212.968116 \nL 215.363015 213.901816 \nL 216.800969 214.749311 \nL 218.373587 215.501815 \nL 220.092751 216.14872 \nL 221.971337 216.677269 \nL 224.023217 217.072202 \nL 226.263242 217.315308 \nL 228.707193 217.384951 \nL 231.371674 217.255521 \nL 234.273957 216.896857 \nL 237.431731 216.273612 \nL 240.862745 215.344624 \nL 244.58431 214.062316 \nL 248.612596 212.372206 \nL 252.961722 210.212629 \nL 257.642546 207.514792 \nL 262.661093 204.203424 \nL 268.01659 200.198218 \nL 273.699038 195.416442 \nL 279.68628 189.777143 \nL 285.940567 183.207295 \nL 292.404728 175.650411 \nL 298.998124 167.077751 \nL 305.612698 157.502123 \nL 312.109674 146.993611 \nL 318.31773 135.695617 \nL 324.033568 123.838625 \nL 329.026081 111.747755 \nL 333.045172 99.839471 \nL 335.836017 88.602901 \nL 337.15864 78.563032 \nL 336.811477 70.227021 \nL 334.656223 64.02022 \nL 330.639675 60.224218 \nL 324.808056 58.931722 \nL 317.309694 60.031636 \nL 308.38432 63.229698 \nL 298.340254 68.10008 \nL 287.523668 74.153907 \nL 276.285847 80.907475 \nL 232.930568 107.787248 \nL 214.749733 118.644249 \nL 193.12517 131.13241 \nL 169.690732 144.6437 \nL 158.178055 151.335536 \nL 153.729439 153.681959 \nL 149.762251 155.421665 \nL 147.890905 156.066343 \nL 146.065368 156.559498 \nL 144.268098 156.898912 \nL 142.484689 157.081737 \nL 140.703696 157.104747 \nL 138.91649 156.964567 \nL 137.117132 156.65793 \nL 135.302295 156.181935 \nL 133.471184 155.534356 \nL 131.625504 154.713932 \nL 129.769413 153.720739 \nL 127.909498 152.556535 \nL 126.054755 151.225139 \nL 124.216515 149.732829 \nL 122.408385 148.088698 \nL 120.646117 146.305026 \nL 118.947441 144.397523 \nL 117.331816 142.385551 \nL 115.820106 140.292196 \nL 114.434168 138.144172 \nL 113.196352 135.971567 \nL 112.128915 133.807355 \nL 111.253325 131.686725 \nL 110.589554 129.64619 \nL 110.155295 127.722483 \nL 109.965218 125.951374 \nL 110.030227 124.36639 \nL 110.356848 122.997544 \nL 110.94673 121.870192 \nL 111.796341 121.004062 \nL 112.896838 120.412587 \nL 114.2342 120.102529 \nL 115.789567 120.074008 \nL 117.539775 120.320816 \nL 119.458102 120.831054 \nL 121.515096 121.588041 \nL 123.679528 122.571323 \nL 125.919344 123.757771 \nL 128.202577 125.122668 \nL 130.498169 126.640692 \nL 135.010989 130.036786 \nL 139.251447 133.759474 \nL 143.058539 137.648944 \nL 146.31899 141.575993 \nL 147.720917 143.521014 \nL 148.962985 145.439313 \nL 150.041911 147.321622 \nL 150.956024 149.159614 \nL 151.704961 150.945725 \nL 152.289391 152.672936 \nL 152.71076 154.334637 \nL 152.971059 155.924432 \nL 153.072633 157.436042 \nL 153.018021 158.863157 \nL 152.809825 160.199346 \nL 152.450615 161.437931 \nL 151.942865 162.571943 \nL 151.288921 163.594015 \nL 150.490996 164.496342 \nL 149.551185 165.270616 \nL 148.471532 165.908011 \nL 147.254096 166.399136 \nL 145.901065 166.734081 \nL 144.414887 166.902415 \nL 142.798443 166.893289 \nL 141.055222 166.695522 \nL 139.189553 166.297788 \nL 137.206857 165.688828 \nL 135.113911 164.857786 \nL 132.919154 163.794571 \nL 130.633005 162.490365 \nL 128.268183 160.938209 \nL 125.840038 159.133692 \nL 123.366866 157.075749 \nL 120.870165 154.767536 \nL 118.374851 152.217351 \nL 115.909371 149.43959 \nL 113.505705 146.455585 \nL 111.199157 143.294368 \nL 109.027982 139.993132 \nL 107.032771 136.597363 \nL 105.255571 133.160493 \nL 103.738728 129.742993 \nL 102.523483 126.410831 \nL 101.64836 123.233281 \nL 101.147421 120.28021 \nL 101.048464 117.618894 \nL 101.371347 115.310664 \nL 102.12652 113.407707 \nL 103.313976 111.95023 \nL 104.922675 110.964397 \nL 106.930573 110.461212 \nL 109.305263 110.436496 \nL 112.005234 110.871962 \nL 114.981582 111.737162 \nL 118.180108 112.992148 \nL 121.543612 114.590505 \nL 125.014118 116.482323 \nL 128.535029 118.617034 \nL 132.052945 120.945708 \nL 135.51908 123.422826 \nL 138.890314 126.00746 \nL 142.129796 128.663872 \nL 145.207162 131.361665 \nL 148.09845 134.075588 \nL 150.785737 136.785092 \nL 153.256607 139.473743 \nL 155.503483 142.128585 \nL 157.522931 144.739521 \nL 159.314918 147.298688 \nL 160.882114 149.799977 \nL 162.229234 152.238554 \nL 163.362446 154.610494 \nL 164.288844 156.912473 \nL 165.016005 159.14153 \nL 165.551614 161.294859 \nL 165.903157 163.369638 \nL 166.077674 165.362907 \nL 166.081578 167.271449 \nL 165.92051 169.091693 \nL 165.599252 170.819604 \nL 165.121656 172.450592 \nL 164.490628 173.979448 \nL 163.708122 175.4002 \nL 162.775161 176.706035 \nL 161.691887 177.889191 \nL 160.457634 178.940832 \nL 159.071003 179.850946 \nL 157.52998 180.608213 \nL 155.832073 181.199885 \nL 153.974476 181.611692 \nL 151.954269 181.827736 \nL 149.768656 181.83044 \nL 147.415246 181.600536 \nL 144.892404 181.117113 \nL 142.199642 180.357755 \nL 139.338092 179.298831 \nL 136.311055 177.915886 \nL 133.124634 176.184326 \nL 129.788436 174.080276 \nL 126.31636 171.581776 \nL 122.727444 168.670326 \nL 119.046743 165.332774 \nL 115.306189 161.563629 \nL 111.545393 157.367632 \nL 107.812255 152.762626 \nL 104.163356 147.782444 \nL 100.663867 142.479539 \nL 97.387001 136.927063 \nL 94.412698 131.219839 \nL 91.825529 125.473775 \nL 89.711724 119.823243 \nL 88.155301 114.416124 \nL 87.233503 109.406484 \nL 87.011777 104.945214 \nL 87.538726 101.169425 \nL 88.841597 98.191851 \nL 90.92284 96.091707 \nL 93.758298 94.908364 \nL 97.297383 94.638989 \nL 101.465362 95.24046 \nL 106.167509 96.63537 \nL 111.294774 98.720878 \nL 116.73022 101.379166 \nL 122.355558 104.487744 \nL 128.057083 107.928349 \nL 133.73059 111.593724 \nL 139.284852 115.391722 \nL 144.643731 119.247196 \nL 149.746966 123.101818 \nL 154.549855 126.912652 \nL 159.022138 130.649942 \nL 163.146377 134.294591 \nL 166.916035 137.835709 \nL 170.333498 141.268391 \nL 173.40815 144.591904 \nL 176.154617 147.808226 \nL 178.591222 150.920949 \nL 180.738665 153.934506 \nL 182.618935 156.853624 \nL 184.254447 159.683001 \nL 185.667365 162.427072 \nL 186.879094 165.089949 \nL 187.909919 167.675359 \nL 188.77876 170.186635 \nL 190.098501 174.998441 \nL 190.958338 179.545698 \nL 191.453124 183.844903 \nL 191.654454 187.909692 \nL 191.613461 191.751537 \nL 191.363752 195.380097 \nL 190.924059 198.803295 \nL 190.300389 202.027178 \nL 189.487592 205.055563 \nL 188.470324 207.889413 \nL 187.223448 210.525919 \nL 185.71189 212.957135 \nL 183.89004 215.168022 \nL 182.845373 216.183526 \nL 181.700714 217.133605 \nL 180.446885 218.01293 \nL 179.073798 218.814948 \nL 177.570412 219.531674 \nL 175.924681 220.153406 \nL 174.123515 220.668425 \nL 172.152755 221.062607 \nL 169.997152 221.31901 \nL 167.6404 221.417368 \nL 165.065175 221.333543 \nL 162.253264 221.038884 \nL 159.185736 220.499558 \nL 155.843236 219.675812 \nL 152.206401 218.521253 \nL 148.256455 216.982163 \nL 143.976007 214.99695 \nL 139.350159 212.49587 \nL 134.367928 209.401203 \nL 129.024107 205.628134 \nL 123.321617 201.086672 \nL 117.274385 195.685063 \nL 110.910828 189.335152 \nL 104.277905 181.960258 \nL 97.445574 173.50596 \nL 90.511435 163.954111 \nL 83.605107 153.33967 \nL 76.891523 141.76935 \nL 70.572204 129.43969 \nL 64.883252 116.650785 \nL 60.088576 103.810536 \nL 56.467306 91.423562 \nL 54.294706 80.059981 \nL 53.817388 70.302535 \nL 55.225085 62.676534 \nL 58.623219 57.574185 \nL 64.011699 55.190645 \nL 71.275302 55.489701 \nL 80.189283 58.210761 \nL 90.440258 62.916843 \nL 101.658726 69.070236 \nL 113.456701 76.115372 \nL 159.780406 104.668231 \nL 169.990122 110.679602 \nL 179.409891 116.07055 \nL 195.797952 125.083436 \nL 209.077641 132.074208 \nL 224.110155 139.727843 \nL 234.791513 144.985903 \nL 240.257609 147.510791 \nL 244.828807 149.385722 \nL 248.787016 150.670823 \nL 250.60514 151.102485 \nL 252.344764 151.396526 \nL 254.023022 151.554216 \nL 255.653786 151.576391 \nL 257.247878 151.463742 \nL 258.813292 151.217036 \nL 260.355388 150.837392 \nL 261.877051 150.326488 \nL 263.378863 149.686799 \nL 264.859237 148.921813 \nL 266.314566 148.036262 \nL 269.126404 145.929756 \nL 271.750877 143.43697 \nL 274.102835 140.657436 \nL 276.083029 137.721252 \nL 277.587745 134.785162 \nL 278.13099 133.371164 \nL 278.520399 132.022941 \nL 278.747106 130.76242 \nL 278.804261 129.61054 \nL 278.687383 128.586609 \nL 278.394626 127.707771 \nL 277.92697 126.988473 \nL 277.288337 126.440043 \nL 276.4856 126.070437 \nL 275.52849 125.884056 \nL 274.42938 125.88177 \nL 273.203018 126.061029 \nL 271.866153 126.416145 \nL 270.437112 126.938665 \nL 267.380884 128.44091 \nL 264.19467 130.462273 \nL 261.034804 132.883024 \nL 258.042114 135.582098 \nL 255.334401 138.445982 \nL 253.003141 141.373339 \nL 251.113794 144.276115 \nL 249.708591 147.078336 \nL 248.81069 149.71358 \nL 248.555103 150.949742 \nL 248.428644 152.122135 \nL 248.43077 153.223883 \nL 248.560485 154.248206 \nL 248.816417 155.188366 \nL 249.196869 156.037618 \nL 249.699849 156.789163 \nL 250.323086 157.436127 \nL 251.06402 157.971577 \nL 251.919771 158.388492 \nL 252.887102 158.679829 \nL 253.962335 158.838551 \nL 255.141283 158.857716 \nL 256.419134 158.730567 \nL 257.790342 158.450685 \nL 259.248498 158.012174 \nL 260.786177 157.409841 \nL 262.394807 156.639473 \nL 264.064515 155.698127 \nL 265.783985 154.584464 \nL 267.540314 153.299107 \nL 269.318932 151.845041 \nL 271.10351 150.228023 \nL 272.875937 148.456948 \nL 274.616346 146.54426 \nL 276.303231 144.506198 \nL 277.913631 142.363052 \nL 279.423418 140.139197 \nL 280.807701 137.863001 \nL 282.041318 135.566524 \nL 283.099469 133.284972 \nL 283.958403 131.055915 \nL 284.596209 128.918287 \nL 284.993608 126.911168 \nL 285.134804 125.072433 \nL 285.008211 123.437342 \nL 284.607126 122.037153 \nL 283.930232 120.897852 \nL 282.981894 120.039177 \nL 281.772265 119.473893 \nL 280.317059 119.207477 \nL 278.637177 119.238232 \nL 276.758009 119.557715 \nL 274.708645 120.151536 \nL 272.520883 121.000386 \nL 270.228188 122.08123 \nL 267.864676 123.368515 \nL 265.464105 124.835349 \nL 263.058999 126.454567 \nL 260.679907 128.199595 \nL 256.108732 131.967717 \nL 251.937573 135.960173 \nL 248.301726 140.031197 \nL 246.713235 142.059621 \nL 245.287499 144.067414 \nL 244.028963 146.044478 \nL 242.940146 147.981899 \nL 242.02198 149.871713 \nL 241.274127 151.706695 \nL 240.695274 153.480158 \nL 240.283402 155.185774 \nL 240.03602 156.817402 \nL 239.950371 158.368978 \nL 240.023582 159.834362 \nL 240.252805 161.207243 \nL 240.635303 162.481043 \nL 241.16852 163.648813 \nL 241.850099 164.703175 \nL 242.677901 165.636231 \nL 243.649963 166.439546 \nL 244.764442 167.104071 \nL 246.019535 167.620134 \nL 247.413371 167.977433 \nL 248.943856 168.165077 \nL 250.608515 168.171618 \nL 252.404283 167.985186 \nL 254.327272 167.593635 \nL 256.372509 166.984769 \nL 258.533644 166.146656 \nL 260.80263 165.068022 \nL 263.169379 163.738758 \nL 265.621398 162.150542 \nL 268.143428 160.297573 \nL 270.717105 158.177412 \nL 273.320632 155.791962 \nL 275.928518 153.148462 \nL 278.511427 150.26056 \nL 281.036154 147.149313 \nL 283.465755 143.844044 \nL 285.759921 140.382986 \nL 287.875596 136.81351 \nL 289.767888 133.191854 \nL 291.391289 129.582241 \nL 292.701178 126.055255 \nL 293.65556 122.68555 \nL 294.217026 119.54881 \nL 294.354704 116.718282 \nL 294.046202 114.260985 \nL 293.27923 112.23407 \nL 292.052846 110.681632 \nL 290.378135 109.632276 \nL 288.278236 109.097859 \nL 285.787633 109.073449 \nL 282.950819 109.538527 \nL 279.82035 110.459199 \nL 276.454548 111.791218 \nL 272.914965 113.483444 \nL 269.26386 115.481207 \nL 265.561852 117.729462 \nL 261.865926 120.17534 \nL 258.227877 122.770062 \nL 254.693202 125.470176 \nL 251.300484 128.238146 \nL 248.081191 131.042431 \nL 245.059827 133.857181 \nL 242.254368 136.661696 \nL 239.676887 139.439713 \nL 237.334299 142.178692 \nL 235.229148 144.869075 \nL 233.360422 147.503661 \nL 231.724314 150.077019 \nL 230.314936 152.585021 \nL 229.124952 155.024433 \nL 228.14613 157.392604 \nL 227.369823 159.687223 \nL 226.787346 161.906105 \nL 226.3903 164.047059 \nL 226.170826 166.107731 \nL 226.121786 168.085519 \nL 226.236911 169.977457 \nL 226.51089 171.780148 \nL 226.939434 173.489662 \nL 227.519302 175.101452 \nL 228.248302 176.610256 \nL 229.12527 178.009994 \nL 230.150032 179.293671 \nL 231.323348 180.453261 \nL 232.646824 181.479555 \nL 234.122824 182.362043 \nL 235.75435 183.088803 \nL 237.544901 183.646326 \nL 239.498295 184.019411 \nL 241.618466 184.191046 \nL 243.909208 184.142338 \nL 246.373884 183.852451 \nL 249.015048 183.298673 \nL 251.834034 182.456543 \nL 254.830428 181.300116 \nL 258.00148 179.802425 \nL 261.341409 177.936151 \nL 264.840619 175.674633 \nL 268.484829 172.993138 \nL 272.254099 169.870624 \nL 276.121858 166.291869 \nL 280.053922 162.250082 \nL 284.007545 157.749904 \nL 287.930729 152.81066 \nL 291.761774 147.469725 \nL 295.42932 141.785606 \nL 298.853021 135.840283 \nL 301.945029 129.740297 \nL 304.61243 123.615945 \nL 306.760705 117.618058 \nL 308.298211 111.911935 \nL 309.14147 106.668519 \nL 309.220959 102.053269 \nL 308.486817 98.213667 \nL 306.913891 95.267104 \nL 304.505352 93.290782 \nL 301.294337 92.315304 \nL 297.343211 92.323202 \nL 292.740405 93.252573 \nL 287.595097 95.005303 \nL 282.0304 97.458233 \nL 276.175865 100.475586 \nL 270.160137 103.920609 \nL 264.104516 107.665166 \nL 258.117948 111.596368 \nL 252.293653 115.620193 \nL 246.707385 119.662483 \nL 241.417139 123.667911 \nL 236.463983 127.597689 \nL 231.873643 131.426655 \nL 227.658567 135.140295 \nL 223.82018 138.731963 \nL 220.351107 142.200492 \nL 217.237266 145.548321 \nL 214.459726 148.78002 \nL 211.9963 151.901289 \nL 209.822877 154.918215 \nL 207.914484 157.836812 \nL 206.246119 160.662778 \nL 204.793377 163.40134 \nL 203.53291 166.057206 \nL 201.502415 171.13715 \nL 199.997974 175.930823 \nL 198.889534 180.460639 \nL 198.072492 184.74485 \nL 197.21885 190.743858 \nL 196.480838 198.01218 \nL 195.082407 213.050117 \nL 194.530423 216.808426 \nL 193.826543 220.260656 \nL 192.910372 223.423051 \nL 192.144665 225.375266 \nL 191.222665 227.203349 \nL 190.110078 228.90478 \nL 188.765232 230.473013 \nL 187.13741 231.895747 \nL 185.164888 233.152342 \nL 182.772666 234.210041 \nL 179.869915 235.018401 \nL 178.193706 235.30655 \nL 176.347249 235.501181 \nL 174.313542 235.586821 \nL 172.074131 235.544669 \nL 169.60908 235.351947 \nL 166.896987 234.981141 \nL 163.915054 234.399123 \nL 160.639245 233.566183 \nL 157.044564 232.43493 \nL 153.10549 230.949158 \nL 148.796617 229.042683 \nL 144.093609 226.638303 \nL 138.974488 223.647005 \nL 133.421429 219.967724 \nL 127.423139 215.48799 \nL 120.977933 210.086001 \nL 114.097686 203.634806 \nL 106.812692 196.009436 \nL 99.177463 187.097933 \nL 91.277334 176.817183 \nL 83.235558 165.134112 \nL 75.220091 152.092019 \nL 67.448999 137.840255 \nL 60.192728 122.663307 \nL 53.771081 107.002355 \nL 48.542514 91.459656 \nL 44.883549 76.775129 \nL 43.157727 63.766675 \nL 43.675605 53.233616 \nL 46.650773 45.835557 \nL 52.160261 41.973012 \nL 60.119177 41.704456 \nL 70.278106 44.729655 \nL 82.246675 50.449169 \nL 95.539413 58.082965 \nL 109.633425 66.810603 \nL 124.024829 75.892752 \nL 138.272858 84.747589 \nL 152.025832 92.976784 \nL 165.029253 100.352105 \nL 177.120036 106.780366 \nL 188.21251 112.262607 \nL 198.281226 116.857524 \nL 207.344068 120.653416 \nL 215.447643 123.749225 \nL 222.655671 126.242915 \nL 229.040341 128.22531 \nL 234.676241 129.777449 \nL 239.63633 130.970063 \nL 243.989479 131.864151 \nL 247.799083 132.512071 \nL 254.010852 133.243001 \nL 258.658271 133.453911 \nL 262.041645 133.36539 \nL 265.238639 133.032671 \nL 266.898586 132.875067 \nL 266.642038 133.147555 \nL 264.058845 135.354744 \nL 262.313862 137.126305 \nL 260.625663 139.173195 \nL 259.206355 141.336093 \nL 258.490015 142.762492 \nL 257.998209 144.122459 \nL 257.754233 145.372353 \nL 257.771866 146.471338 \nL 258.0561 147.381631 \nL 258.603786 148.068808 \nL 259.404047 148.502372 \nL 260.438448 148.656506 \nL 261.680945 148.511319 \nL 263.097628 148.05448 \nL 264.646467 147.283174 \nL 266.277177 146.206415 \nL 267.931439 144.847266 \nL 269.543762 143.244807 \nL 271.043198 141.455199 \nL 272.356174 139.551338 \nL 273.410449 137.620646 \nL 274.140001 135.760572 \nL 274.490642 134.07204 \nL 274.425503 132.651304 \nL 274.231404 132.068042 \nL 273.929691 131.581369 \nL 273.522431 131.198338 \nL 273.013294 130.924323 \nL 272.40753 130.762923 \nL 271.711879 130.715955 \nL 270.084464 130.963658 \nL 268.208988 131.64768 \nL 266.175998 132.725326 \nL 264.081546 134.13697 \nL 262.020369 135.812581 \nL 260.080076 137.677644 \nL 258.337039 139.657804 \nL 256.85401 141.681912 \nL 255.679391 143.683633 \nL 254.847705 145.601848 \nL 254.380892 147.380377 \nL 254.289899 148.967288 \nL 254.576251 150.314173 \nL 254.85914 150.883294 \nL 255.233264 151.375588 \nL 255.696622 151.785825 \nL 256.246752 152.108983 \nL 256.880726 152.34026 \nL 257.595128 152.475144 \nL 259.248896 152.439408 \nL 261.169594 151.973784 \nL 263.308384 151.059995 \nL 265.604535 149.69352 \nL 267.984136 147.888355 \nL 270.359622 145.682036 \nL 272.63059 143.14003 \nL 274.68658 140.358457 \nL 276.41221 137.463442 \nL 277.694961 134.606082 \nL 278.138284 133.243138 \nL 278.435072 131.952152 \nL 278.576681 130.753687 \nL 278.556623 129.66718 \nL 278.370852 128.710379 \nL 278.017997 127.898825 \nL 277.499506 127.245396 \nL 276.8197 126.759951 \nL 275.985735 126.449075 \nL 275.007501 126.315999 \nL 273.897382 126.360631 \nL 272.669947 126.579703 \nL 271.341602 126.967049 \nL 269.930159 127.513978 \nL 266.933608 129.041691 \nL 263.834061 131.05936 \nL 260.780259 133.451216 \nL 257.905377 136.100976 \nL 255.3203 138.899785 \nL 253.110821 141.750314 \nL 251.338122 144.567588 \nL 250.041518 147.277775 \nL 249.242375 149.815849 \nL 249.032152 151.001777 \nL 248.948273 152.122928 \nL 248.990144 153.172479 \nL 249.156726 154.14371 \nL 249.446607 155.029926 \nL 249.858031 155.824431 \nL 250.388938 156.520504 \nL 251.036967 157.111366 \nL 251.799438 157.590209 \nL 252.673316 157.950186 \nL 253.65517 158.184457 \nL 254.741094 158.286266 \nL 255.926627 158.249012 \nL 257.206643 158.066366 \nL 258.575246 157.732419 \nL 260.025637 157.241883 \nL 261.549977 156.590279 \nL 263.139261 155.774221 \nL 264.783173 154.791707 \nL 266.469958 153.642436 \nL 268.186318 152.328166 \nL 269.917326 150.853093 \nL 271.646373 149.224228 \nL 273.355185 147.451746 \nL 275.023874 145.549301 \nL 276.631079 143.534259 \nL 278.154205 141.427838 \nL 279.569724 139.255089 \nL 280.853609 137.044727 \nL 281.981856 134.828727 \nL 282.931105 132.641735 \nL 283.679322 130.520235 \nL 284.206555 128.501516 \nL 284.495696 126.622509 \nL 284.533246 124.918462 \nL 284.309971 123.421641 \nL 283.821468 122.160062 \nL 283.068585 121.156421 \nL 282.057606 120.427248 \nL 280.80023 119.982357 \nL 279.313336 119.824727 \nL 277.618491 119.950656 \nL 275.741276 120.350335 \nL 273.710469 121.008617 \nL 271.557092 121.906056 \nL 269.313462 123.020009 \nL 267.012193 124.325758 \nL 264.685326 125.79759 \nL 262.363517 127.409722 \nL 257.84703 130.955906 \nL 253.659426 134.781546 \nL 249.949476 138.733669 \nL 246.817931 142.690551 \nL 245.488781 144.640314 \nL 244.32339 146.557548 \nL 243.323981 148.43357 \nL 242.491329 150.260552 \nL 241.825058 152.031303 \nL 241.323905 153.739119 \nL 240.985974 155.377587 \nL 240.808945 156.940448 \nL 240.790247 158.421474 \nL 240.92721 159.814337 \nL 241.217175 161.11253 \nL 241.657571 162.309255 \nL 242.245971 163.397348 \nL 242.980101 164.369211 \nL 243.857833 165.216765 \nL 244.877148 165.931397 \nL 246.036065 166.503921 \nL 247.332549 166.924598 \nL 248.764387 167.183125 \nL 250.329039 167.268703 \nL 252.023456 167.170127 \nL 253.843867 166.875907 \nL 255.78555 166.374471 \nL 257.84256 165.654457 \nL 260.007425 164.705017 \nL 262.270857 163.5163 \nL 264.62139 162.079974 \nL 267.045069 160.389889 \nL 269.525098 158.442838 \nL 272.04155 156.239402 \nL 274.571112 153.784893 \nL 277.086898 151.090306 \nL 279.558377 148.173287 \nL 281.951486 145.058969 \nL 284.228858 141.780625 \nL 286.350347 138.38002 \nL 288.273784 134.907346 \nL 289.955996 131.420625 \nL 291.354108 127.984464 \nL 292.427099 124.668149 \nL 293.137529 121.543162 \nL 293.453386 118.680079 \nL 293.349893 116.145195 \nL 292.811153 113.997102 \nL 291.831487 112.283469 \nL 290.416282 111.03853 \nL 288.582302 110.281356 \nL 286.357335 110.01529 \nL 283.779229 110.228477 \nL 280.894361 110.895467 \nL 277.75561 111.979637 \nL 274.420133 113.436211 \nL 270.946968 115.215346 \nL 267.394767 117.265237 \nL 263.81978 119.534738 \nL 260.274145 121.975464 \nL 256.804639 124.543304 \nL 253.451858 127.199298 \nL 250.249791 129.909987 \nL 247.225796 132.647355 \nL 244.400838 135.388459 \nL 241.789967 138.114892 \nL 239.402954 140.812115 \nL 237.244999 143.468808 \nL 235.317482 146.076231 \nL 233.618702 148.627636 \nL 232.144572 151.117786 \nL 230.889265 153.542538 \nL 229.845778 155.898487 \nL 229.006423 158.1827 \nL 228.363247 160.392482 \nL 227.908372 162.525214 \nL 227.634278 164.578184 \nL 227.534011 166.548485 \nL 227.601347 168.432899 \nL 227.830915 170.227795 \nL 228.218268 171.929053 \nL 228.759926 173.531965 \nL 229.453389 175.031123 \nL 230.297134 176.420353 \nL 231.290568 177.692567 \nL 232.433985 178.839689 \nL 233.728485 179.852506 \nL 235.175877 180.720581 \nL 236.778565 181.432092 \nL 238.539399 181.973725 \nL 240.461503 182.33058 \nL 242.548064 182.486053 \nL 244.802076 182.421813 \nL 247.226041 182.11776 \nL 249.821611 181.55211 \nL 252.589161 180.701579 \nL 255.527282 179.541664 \nL 258.63221 178.047137 \nL 261.897155 176.192744 \nL 265.311563 173.954194 \nL 268.860263 171.309458 \nL 272.522622 168.240463 \nL 276.271597 164.735132 \nL 280.072869 160.789832 \nL 283.884048 156.412188 \nL 287.65406 151.624024 \nL 291.322871 146.464396 \nL 294.821641 140.99221 \nL 298.073492 135.288151 \nL 300.995044 129.45534 \nL 303.498809 123.618265 \nL 305.496518 117.919417 \nL 306.903333 112.513492 \nL 307.642746 107.559118 \nL 307.651833 103.208621 \nL 306.886431 99.596876 \nL 305.325541 96.83051 \nL 302.97448 94.979051 \nL 299.866191 94.069534 \nL 296.060399 94.08533 \nL 291.640644 94.969601 \nL 286.709393 96.632624 \nL 281.381846 98.961801 \nL 275.779124 101.832679 \nL 270.021639 105.119339 \nL 264.223209 108.703076 \nL 258.486467 112.478455 \nL 252.899724 116.356778 \nL 247.535286 120.267187 \nL 242.449095 124.155915 \nL 237.681362 127.984429 \nL 233.257971 131.726888 \nL 229.192305 135.367537 \nL 225.487272 138.898173 \nL 222.137354 142.316007 \nL 219.130536 145.62189 \nL 216.450052 148.818963 \nL 214.075883 151.911626 \nL 211.986029 154.904859 \nL 210.15753 157.803772 \nL 208.567285 160.613277 \nL 207.192666 163.33797 \nL 206.011982 165.98205 \nL 205.004791 168.549293 \nL 203.436549 173.466395 \nL 202.355289 178.112221 \nL 201.654049 182.505336 \nL 201.24994 186.661154 \nL 201.081326 190.592842 \nL 201.10465 194.31188 \nL 201.291427 197.828371 \nL 201.625685 201.151146 \nL 202.101955 204.287702 \nL 202.723835 207.244018 \nL 203.503118 210.024201 \nL 204.459428 212.629943 \nL 205.620327 215.059718 \nL 207.02186 217.30759 \nL 208.709494 219.361494 \nL 210.739434 221.200736 \nL 211.903666 222.03017 \nL 213.180261 222.792377 \nL 214.580034 223.480471 \nL 216.114813 224.086053 \nL 217.797504 224.598893 \nL 219.642134 225.006598 \nL 221.663898 225.294195 \nL 223.879169 225.443658 \nL 226.3055 225.433364 \nL 228.96156 225.237456 \nL 231.867031 224.825142 \nL 235.042408 224.159918 \nL 238.508703 223.198738 \nL 242.286983 221.89118 \nL 246.397738 220.178647 \nL 250.859988 217.993723 \nL 255.690064 215.259826 \nL 260.900013 211.891379 \nL 266.495525 207.79479 \nL 272.473274 202.870664 \nL 278.817638 197.017751 \nL 285.496761 190.139188 \nL 292.45793 182.151722 \nL 299.622476 172.998409 \nL 306.880501 162.665044 \nL 314.086022 151.199902 \nL 321.053374 138.735289 \nL 327.556172 125.507985 \nL 333.330322 111.873692 \nL 338.082766 98.309054 \nL 341.507211 85.394315 \nL 343.307319 73.771388 \nL 343.226213 64.076749 \nL 341.078912 56.856756 \nL 336.782317 52.481457 \nL 330.37607 51.07899 \nL 322.028412 52.510745 \nL 312.023672 56.397426 \nL 300.732987 62.189844 \nL 288.573943 69.263892 \nL 263.30135 84.921049 \nL 250.902506 92.592816 \nL 239.025402 99.766378 \nL 227.84954 106.294444 \nL 217.48615 112.119135 \nL 207.989254 117.24441 \nL 199.368311 121.71205 \nL 191.60031 125.583371 \nL 178.429595 131.808833 \nL 167.991251 136.430428 \nL 159.748496 139.851681 \nL 153.20437 142.358199 \nL 147.937771 144.140916 \nL 143.61122 145.324251 \nL 139.965788 145.989509 \nL 136.811289 146.192317 \nL 134.015548 145.975113 \nL 131.494353 145.376217 \nL 129.202523 144.436423 \nL 127.126069 143.203834 \nL 125.275041 141.737009 \nL 123.676793 140.106421 \nL 122.36928 138.394059 \nL 121.394257 136.690797 \nL 120.790492 135.091808 \nL 120.587307 133.690237 \nL 120.798928 132.56993 \nL 121.05956 132.137185 \nL 121.420375 131.798505 \nL 121.877397 131.558878 \nL 122.425332 131.4217 \nL 123.766511 131.460174 \nL 125.378289 131.909218 \nL 127.181362 132.74119 \nL 129.088542 133.910008 \nL 131.010898 135.35668 \nL 132.863351 137.014867 \nL 134.569099 138.815631 \nL 136.062636 140.690997 \nL 137.291219 142.576171 \nL 138.215128 144.410615 \nL 138.80699 146.138253 \nL 139.05061 147.707245 \nL 138.939616 149.069455 \nL 138.476308 150.180039 \nL 138.115408 150.627812 \nL 137.670813 150.997291 \nL 137.144955 151.283809 \nL 135.861588 151.590643 \nL 134.294656 151.517132 \nL 132.482324 151.039244 \nL 130.472724 150.142896 \nL 128.325101 148.827637 \nL 126.1107 147.110814 \nL 123.912816 145.031788 \nL 121.825659 142.655404 \nL 119.951401 140.07373 \nL 118.3952 137.404789 \nL 117.258004 134.787362 \nL 116.627684 132.371387 \nL 116.524107 131.285639 \nL 116.569395 130.304702 \nL 116.766689 129.444227 \nL 117.116724 128.717851 \nL 117.617716 128.136823 \nL 118.265336 127.709715 \nL 119.052742 127.442233 \nL 119.970701 127.337133 \nL 121.007791 127.394259 \nL 122.150671 127.610661 \nL 123.384396 127.980864 \nL 126.058831 129.149905 \nL 128.893814 130.819359 \nL 131.750633 132.889464 \nL 134.499727 135.254001 \nL 137.028342 137.809022 \nL 139.2449 140.458262 \nL 141.080179 143.115518 \nL 142.486048 145.704723 \nL 143.432723 148.1586 \nL 143.905302 150.416595 \nL 143.962374 151.454514 \nL 143.90038 152.4227 \nL 143.720229 153.314561 \nL 143.423242 154.123565 \nL 143.011121 154.843212 \nL 142.485918 155.467038 \nL 141.850044 155.988586 \nL 141.106279 156.401424 \nL 140.257802 156.699184 \nL 139.30825 156.875594 \nL 138.261764 156.92455 \nL 137.123078 156.840208 \nL 135.897616 156.617119 \nL 134.591585 156.250353 \nL 133.212084 155.735688 \nL 131.767213 155.069832 \nL 130.266206 154.250654 \nL 128.719513 153.277444 \nL 125.537581 150.875055 \nL 122.332688 147.897114 \nL 119.239011 144.420304 \nL 117.781575 142.53229 \nL 116.411282 140.571141 \nL 115.149601 138.560883 \nL 114.018166 136.528552 \nL 113.038301 134.503778 \nL 112.230447 132.51816 \nL 111.61355 130.604517 \nL 111.204398 128.795932 \nL 111.017003 127.12473 \nL 111.061946 125.621376 \nL 111.345877 124.313366 \nL 111.871057 123.224232 \nL 112.635087 122.372678 \nL 113.630796 121.771957 \nL 114.846324 121.429498 \nL 116.265398 121.346845 \nL 117.867776 121.519887 \nL 119.629852 121.939344 \nL 121.525408 122.591443 \nL 123.526404 123.45881 \nL 125.603793 124.521368 \nL 127.728362 125.757274 \nL 129.871488 127.143801 \nL 134.105614 130.277905 \nL 138.110926 133.750169 \nL 141.731128 137.407885 \nL 144.852429 141.124186 \nL 147.400938 144.79704 \nL 148.446666 146.591015 \nL 149.336197 148.344793 \nL 150.068363 150.050435 \nL 150.643055 151.700554 \nL 151.061007 153.28819 \nL 151.32357 154.806649 \nL 151.432537 156.249372 \nL 151.389992 157.609834 \nL 151.198184 158.881417 \nL 150.859442 160.057349 \nL 150.376098 161.130602 \nL 149.75046 162.093842 \nL 148.984805 162.939375 \nL 148.081399 163.65909 \nL 147.042548 164.244459 \nL 145.870656 164.686509 \nL 144.568349 164.975876 \nL 143.138583 165.102819 \nL 141.584803 165.057326 \nL 139.911126 164.829239 \nL 138.122541 164.408426 \nL 136.225134 163.785019 \nL 134.226345 162.949729 \nL 132.135223 161.894224 \nL 129.962722 160.611605 \nL 127.721965 159.096941 \nL 125.428534 157.34793 \nL 123.100702 155.365587 \nL 120.759654 153.155038 \nL 118.429608 150.726278 \nL 116.137878 148.094975 \nL 113.914781 145.283125 \nL 111.793414 142.319623 \nL 109.809228 139.240513 \nL 107.999397 136.088958 \nL 106.401992 132.914786 \nL 105.054883 129.773534 \nL 103.994487 126.724949 \nL 103.254331 123.831026 \nL 102.863543 121.153573 \nL 102.845339 118.7515 \nL 103.215609 116.678009 \nL 103.981746 114.977919 \nL 105.141835 113.685424 \nL 106.684253 112.822424 \nL 108.5878 112.397738 \nL 110.822314 112.407205 \nL 113.349799 112.834569 \nL 116.125934 113.653168 \nL 119.101876 114.828187 \nL 122.226192 116.319098 \nL 125.446814 118.082232 \nL 128.712832 120.07307 \nL 131.976053 122.248216 \nL 135.19227 124.566937 \nL 138.322145 126.992192 \nL 141.331763 129.491204 \nL 144.192873 132.035692 \nL 146.88283 134.601741 \nL 149.384335 137.169478 \nL 151.684979 139.722657 \nL 153.776723 142.248109 \nL 155.655266 144.735249 \nL 157.319443 147.175565 \nL 158.770596 149.56215 \nL 160.012001 151.889331 \nL 161.048343 154.152316 \nL 161.885243 156.3469 \nL 162.528848 158.469244 \nL 162.985495 160.515664 \nL 163.261416 162.482484 \nL 163.362526 164.365893 \nL 163.294227 166.161812 \nL 163.061299 167.865791 \nL 162.667791 169.472916 \nL 162.116976 170.977703 \nL 161.411331 172.373995 \nL 160.552538 173.654874 \nL 159.541514 174.812554 \nL 158.378467 175.838293 \nL 157.06299 176.722266 \nL 155.594154 177.453486 \nL 153.970642 178.019717 \nL 152.190917 178.407378 \nL 150.253421 178.601512 \nL 148.156801 178.585759 \nL 145.900199 178.342363 \nL 143.483566 177.852312 \nL 140.908058 177.095488 \nL 138.176475 176.051011 \nL 135.293763 174.697688 \nL 132.2676 173.014639 \nL 129.109006 170.982215 \nL 125.833066 168.583092 \nL 122.45961 165.80372 \nL 119.013982 162.636004 \nL 115.527701 159.079321 \nL 112.039068 155.14272 \nL 108.5936 150.847285 \nL 105.244163 146.228385 \nL 102.05077 141.337705 \nL 99.079877 136.244576 \nL 96.403067 131.036418 \nL 94.095079 125.817761 \nL 92.231111 120.707642 \nL 90.883482 115.835103 \nL 90.117736 111.332912 \nL 89.988461 107.329795 \nL 90.535232 103.941863 \nL 91.779 101.264215 \nL 93.719439 99.363731 \nL 96.333623 98.274308 \nL 99.576326 97.994988 \nL 103.381958 98.491554 \nL 107.668002 99.701167 \nL 112.339655 101.539304 \nL 117.295079 103.907936 \nL 122.430764 106.703777 \nL 127.646498 109.825574 \nL 132.849521 113.179782 \nL 137.957583 116.68432 \nL 142.90092 120.270513 \nL 147.623128 123.883384 \nL 152.081119 127.480895 \nL 156.244386 131.032358 \nL 160.093773 134.516589 \nL 163.619944 137.919949 \nL 166.821769 141.23454 \nL 169.704682 144.45662 \nL 172.279169 147.585351 \nL 174.55939 150.621774 \nL 176.561984 153.568073 \nL 178.305071 156.427037 \nL 179.807421 159.201675 \nL 181.087805 161.895 \nL 182.164484 164.509868 \nL 183.05483 167.048923 \nL 183.77506 169.514519 \nL 184.340049 171.908738 \nL 184.763225 174.233394 \nL 185.230296 178.679943 \nL 185.253552 182.863505 \nL 184.887005 186.789539 \nL 184.163137 190.459378 \nL 183.094856 193.869595 \nL 181.677259 197.010757 \nL 180.831409 198.475408 \nL 179.88899 199.86555 \nL 178.844906 201.177347 \nL 177.693118 202.406059 \nL 176.426652 203.545914 \nL 175.037606 204.589926 \nL 173.517153 205.529682 \nL 171.855553 206.355125 \nL 170.042173 207.054269 \nL 168.065521 207.612908 \nL 165.913297 208.014259 \nL 163.572484 208.238589 \nL 161.029477 208.262802 \nL 158.270266 208.059999 \nL 155.280702 207.599036 \nL 152.046848 206.844096 \nL 148.555461 205.754327 \nL 144.79463 204.2836 \nL 140.754592 202.380468 \nL 136.428787 199.988451 \nL 131.815175 197.046796 \nL 126.917872 193.491925 \nL 121.749089 189.259766 \nL 116.331449 184.28929 \nL 110.700609 178.527465 \nL 104.908125 171.935902 \nL 99.024361 164.499292 \nL 93.141271 156.235385 \nL 87.374553 147.20615 \nL 81.864652 137.528782 \nL 76.776009 127.384937 \nL 72.293705 117.025593 \nL 68.616865 106.768648 \nL 65.948383 96.986469 \nL 64.481003 88.081635 \nL 64.380559 80.451438 \nL 65.768182 74.444929 \nL 68.704 70.319303 \nL 73.175348 68.204797 \nL 79.092218 68.086792 \nL 86.291617 69.810233 \nL 94.550638 73.105763 \nL 103.606328 77.631511 \nL 113.178823 83.02019 \nL 122.993938 88.921761 \nL 142.390627 101.119889 \nL 175.849831 122.654991 \nL 188.851442 131.222116 \nL 199.427202 138.480157 \nL 207.91448 144.673065 \nL 214.722643 150.01087 \nL 220.259446 154.643569 \nL 228.944446 162.117868 \nL 232.672583 165.016047 \nL 234.48421 166.25209 \nL 236.291563 167.340601 \nL 238.11441 168.275755 \nL 239.970146 169.050456 \nL 241.873919 169.656397 \nL 243.838748 170.084127 \nL 245.875592 170.323139 \nL 247.993354 170.361963 \nL 250.198865 170.18829 \nL 252.496789 169.789182 \nL 254.889499 169.151335 \nL 257.376872 168.261418 \nL 259.956058 167.106536 \nL 262.621184 165.674824 \nL 265.363041 163.956133 \nL 268.168711 161.942941 \nL 271.021248 159.63135 \nL 273.899297 157.022248 \nL 276.776864 154.122576 \nL 279.623102 150.946629 \nL 282.402286 147.517359 \nL 285.073955 143.867498 \nL 287.593365 140.040399 \nL 289.912202 136.090425 \nL 291.97967 132.082669 \nL 293.743968 128.091927 \nL 295.154123 124.2007 \nL 296.16213 120.496297 \nL 296.725357 117.067044 \nL 296.808983 113.99787 \nL 296.388323 111.36556 \nL 295.45085 109.234218 \nL 293.997651 107.651366 \nL 292.044134 106.645201 \nL 289.619927 106.22333 \nL 286.767828 106.373131 \nL 283.541972 107.06378 \nL 280.005286 108.249426 \nL 276.226569 109.873319 \nL 272.277313 111.872208 \nL 268.228702 114.180575 \nL 264.148869 116.734316 \nL 260.100659 119.473569 \nL 256.139999 122.344678 \nL 252.314842 125.301245 \nL 248.664694 128.304449 \nL 245.220637 131.322791 \nL 242.005714 134.33141 \nL 239.035645 137.311228 \nL 236.319677 140.248008 \nL 233.861548 143.131373 \nL 231.660466 145.953987 \nL 229.712064 148.710766 \nL 228.009271 151.398283 \nL 226.543113 154.014251 \nL 225.303388 156.557119 \nL 224.27926 159.025776 \nL 223.459744 161.419329 \nL 222.834094 163.736924 \nL 222.392114 165.977615 \nL 222.124392 168.140249 \nL 222.022482 170.223412 \nL 222.079011 172.225328 \nL 222.287774 174.143816 \nL 222.64377 175.976205 \nL 223.143219 177.719262 \nL 223.783556 179.369108 \nL 224.563411 180.921145 \nL 225.482571 182.369949 \nL 226.541925 183.709132 \nL 227.74341 184.931248 \nL 229.08993 186.027622 \nL 230.585279 186.988227 \nL 232.234025 187.801478 \nL 234.041397 188.454097 \nL 236.01314 188.930902 \nL 238.155323 189.214631 \nL 240.474126 189.285796 \nL 242.975569 189.122537 \nL 245.665182 188.700512 \nL 248.547591 187.992942 \nL 251.626029 186.970657 \nL 254.901746 185.602417 \nL 258.37329 183.855385 \nL 262.035677 181.695914 \nL 265.879425 179.090718 \nL 269.889453 176.008478 \nL 274.043887 172.422004 \nL 278.312769 168.311005 \nL 282.656774 163.665453 \nL 287.025985 158.489559 \nL 291.358919 152.806123 \nL 295.581901 146.661054 \nL 299.609106 140.127521 \nL 303.343409 133.309057 \nL 306.678365 126.340861 \nL 309.501527 119.38834 \nL 311.699104 112.642141 \nL 313.162063 106.30913 \nL 313.793241 100.599561 \nL 313.514995 95.711184 \nL 312.276551 91.812204 \nL 310.060104 89.02554 \nL 306.884708 87.416914 \nL 302.80715 86.989243 \nL 297.919471 87.684344 \nL 292.343259 89.391751 \nL 286.221464 91.962892 \nL 279.70869 95.227991 \nL 272.961349 99.012803 \nL 266.128734 103.152672 \nL 259.345858 107.502623 \nL 252.728572 111.942912 \nL 246.37093 116.380659 \nL 240.344595 120.748393 \nL 234.699823 125.000774 \nL 229.467555 129.110408 \nL 224.662096 133.06358 \nL 220.284066 136.856359 \nL 216.323291 140.491345 \nL 212.76148 143.975141 \nL 209.574569 147.316436 \nL 206.734701 150.524741 \nL 204.211855 153.609498 \nL 201.975113 156.579584 \nL 199.993641 159.443042 \nL 198.237409 162.206986 \nL 195.287375 167.460039 \nL 192.915767 172.37779 \nL 190.943033 176.987897 \nL 185.217716 190.912733 \nL 183.492103 194.278059 \nL 181.572992 197.359702 \nL 179.384414 200.137897 \nL 178.165048 201.40377 \nL 176.849003 202.580585 \nL 175.425855 203.661727 \nL 173.884719 204.639197 \nL 172.214193 205.503396 \nL 170.402316 206.242864 \nL 168.436549 206.843986 \nL 166.303782 207.290671 \nL 163.990375 207.563982 \nL 161.482251 207.641727 \nL 158.765037 207.49805 \nL 155.824297 207.102998 \nL 152.645836 206.422089 \nL 149.216144 205.415958 \nL 145.522976 204.040101 \nL 141.556122 202.244792 \nL 137.308374 199.975316 \nL 132.776782 197.172626 \nL 127.964186 193.774631 \nL 122.881075 189.718315 \nL 117.547751 184.942975 \nL 111.996883 179.394814 \nL 106.276242 173.033113 \nL 100.451579 165.838134 \nL 94.609341 157.820642 \nL 88.858942 149.032585 \nL 83.334009 139.577991 \nL 78.19198 129.622437 \nL 73.611385 119.398814 \nL 69.78604 109.206585 \nL 66.915736 99.401821 \nL 65.193332 90.375946 \nL 64.788815 82.523283 \nL 65.831988 76.200302 \nL 68.396034 71.682605 \nL 72.484777 69.128284 \nL 78.026543 68.556151 \nL 84.876412 69.844912 \nL 92.827184 72.754187 \nL 101.627489 76.962252 \nL 111.003963 82.111578 \nL 120.683728 87.851987 \nL 130.41386 93.873883 \nL 149.192174 105.829946 \nL 173.659355 121.66521 \nL 186.857913 130.402102 \nL 197.62616 137.827266 \nL 206.278825 144.176353 \nL 213.215505 149.660394 \nL 218.842121 154.433683 \nL 229.493609 163.784481 \nL 233.128532 166.555538 \nL 234.921515 167.726489 \nL 236.726385 168.747546 \nL 238.561292 169.611919 \nL 240.442181 170.311566 \nL 242.38291 170.837233 \nL 244.395325 171.178523 \nL 246.489298 171.323949 \nL 248.672716 171.261074 \nL 250.95141 170.976628 \nL 253.329023 170.456744 \nL 255.806846 169.687246 \nL 258.383576 168.65407 \nL 261.055027 167.343766 \nL 263.813804 165.744172 \nL 266.648926 163.845224 \nL 269.545447 161.639937 \nL 272.484077 159.125564 \nL 275.440803 156.304869 \nL 278.386627 153.187516 \nL 281.287424 149.791482 \nL 284.103935 146.14441 \nL 286.792031 142.28474 \nL 289.303274 138.262442 \nL 291.585833 134.139213 \nL 293.585802 129.987873 \nL 295.248905 125.890845 \nL 296.522616 121.937621 \nL 297.358588 118.221193 \nL 297.715251 114.833645 \nL 297.560395 111.861171 \nL 296.87357 109.37897 \nL 295.648006 107.446606 \nL 293.891814 106.104319 \nL 291.62837 105.370804 \nL 288.895692 105.242683 \nL 285.744905 105.695906 \nL 282.237884 106.688562 \nL 278.444242 108.165042 \nL 274.438053 110.060663 \nL 270.294483 112.306446 \nL 266.086717 114.833424 \nL 261.88328 117.576096 \nL 257.746031 120.474975 \nL 253.728732 123.478085 \nL 249.876331 126.541613 \nL 246.224754 129.629781 \nL 242.801203 132.714298 \nL 239.624795 135.773442 \nL 236.707419 138.791034 \nL 234.054747 141.755388 \nL 231.667285 144.658327 \nL 229.541386 147.494348 \nL 227.670238 150.259886 \nL 226.044724 152.952725 \nL 224.654201 155.571559 \nL 223.487154 158.11562 \nL 222.531737 160.584423 \nL 221.776228 162.977593 \nL 221.209379 165.294684 \nL 220.820683 167.53511 \nL 220.600581 169.698035 \nL 220.540604 171.782331 \nL 220.633466 173.786491 \nL 220.873127 175.708587 \nL 221.254812 177.546204 \nL 221.77502 179.296357 \nL 222.431502 180.955448 \nL 223.223232 182.519136 \nL 224.15037 183.982268 \nL 225.214205 185.338747 \nL 226.417095 186.581409 \nL 227.762399 187.701869 \nL 229.254398 188.690371 \nL 230.898194 189.535614 \nL 232.699609 190.224545 \nL 234.665028 190.742178 \nL 236.801258 191.071391 \nL 239.115307 191.192727 \nL 241.614134 191.084227 \nL 244.304336 190.72129 \nL 247.191756 190.076616 \nL 250.281005 189.120234 \nL 253.574895 187.819712 \nL 257.073718 186.140544 \nL 260.77442 184.046832 \nL 264.66962 181.502361 \nL 268.74648 178.472112 \nL 272.985452 174.924359 \nL 277.358908 170.833378 \nL 281.829712 166.182904 \nL 286.349826 160.970226 \nL 290.859107 155.210874 \nL 295.284432 148.943604 \nL 299.539378 142.235247 \nL 303.524789 135.184713 \nL 307.130415 127.925307 \nL 310.237998 120.624332 \nL 312.725843 113.478992 \nL 314.475009 106.707871 \nL 315.376818 100.537932 \nL 315.34116 95.187683 \nL 314.304814 90.848325 \nL 312.238649 87.665427 \nL 309.152687 85.724381 \nL 305.097984 85.042193 \nL 300.164787 85.567638 \nL 294.477022 87.189501 \nL 288.183745 89.751601 \nL 281.448693 93.071455 \nL 274.439333 96.95921 \nL 267.316787 101.234074 \nL 260.227631 105.736128 \nL 253.29817 110.333194 \nL 246.631264 114.922925 \nL 240.305475 119.431394 \nL 234.376044 123.80943 \nL 228.877101 128.027909 \nL 223.824622 132.072912 \nL 219.219652 135.94129 \nL 215.051481 139.637019 \nL 211.300585 143.168294 \nL 207.94119 146.545479 \nL 204.943439 149.779618 \nL 202.275138 152.881543 \nL 199.903143 155.861293 \nL 197.794407 158.727847 \nL 194.239346 164.15152 \nL 191.371044 169.201894 \nL 188.980458 173.912838 \nL 183.034579 186.177636 \nL 181.035556 189.654558 \nL 178.856275 192.809583 \nL 177.670809 194.258882 \nL 176.406818 195.617032 \nL 175.053354 196.878517 \nL 173.599368 198.036637 \nL 172.03362 199.083323 \nL 170.344603 200.008941 \nL 168.520503 200.802056 \nL 166.549171 201.449161 \nL 164.418137 201.934401 \nL 162.114662 202.239252 \nL 159.625829 202.342187 \nL 156.938707 202.218327 \nL 154.040584 201.839117 \nL 150.919298 201.172012 \nL 147.563682 200.18026 \nL 143.964132 198.822813 \nL 140.113373 197.054416 \nL 136.007396 194.826037 \nL 131.64662 192.085701 \nL 127.037324 188.779941 \nL 122.193324 184.855989 \nL 117.137916 180.264961 \nL 111.906024 174.966176 \nL 106.546536 168.932784 \nL 101.124567 162.158695 \nL 95.723568 154.666597 \nL 90.446794 146.516643 \nL 85.417842 137.814796 \nL 80.779647 128.719514 \nL 76.691417 119.444869 \nL 73.323056 110.258004 \nL 70.846704 101.469009 \nL 69.4256 93.41208 \nL 69.200816 86.418407 \nL 70.277241 80.783568 \nL 72.710626 76.734003 \nL 76.49797 74.399248 \nL 81.573167 73.7959 \nL 87.809341 74.827533 \nL 95.027887 77.300933 \nL 103.013021 80.954964 \nL 111.529587 85.495654 \nL 120.341224 90.630072 \nL 129.226389 96.093311 \nL 146.473042 107.178766 \nL 162.137448 117.603832 \nL 175.649009 126.906579 \nL 186.884144 135.044132 \nL 191.691741 138.716645 \nL 196.005351 142.154854 \nL 199.86721 145.381087 \nL 206.417243 151.276926 \nL 211.70614 156.535839 \nL 216.076607 161.2461 \nL 223.228427 169.19125 \nL 226.483105 172.440673 \nL 228.114099 173.876334 \nL 229.773889 175.179295 \nL 231.480043 176.342903 \nL 233.248567 177.359157 \nL 235.094043 178.218644 \nL 237.029723 178.910461 \nL 239.067579 179.422166 \nL 241.218316 179.739729 \nL 243.491329 179.847483 \nL 245.894593 179.728147 \nL 248.43449 179.362882 \nL 251.115575 178.731432 \nL 253.940254 177.81238 \nL 256.908381 176.583544 \nL 260.016772 175.022543 \nL 263.258644 173.107604 \nL 266.622976 170.818606 \nL 270.093773 168.138449 \nL 273.649368 165.054717 \nL 277.261636 161.561701 \nL 280.895326 157.662705 \nL 284.50751 153.372558 \nL 288.047231 148.720191 \nL 291.455532 143.751071 \nL 294.665903 138.52913 \nL 297.605353 133.137858 \nL 300.196184 127.680086 \nL 302.358518 122.276089 \nL 304.013607 117.059658 \nL 305.08784 112.172116 \nL 305.517189 107.754429 \nL 305.251768 103.938008 \nL 304.260104 100.835179 \nL 302.532559 98.530548 \nL 300.083451 97.074418 \nL 296.951504 96.479377 \nL 293.198462 96.720624 \nL 288.905897 97.739924 \nL 284.170607 99.452568 \nL 279.099018 101.756158 \nL 273.801274 104.539889 \nL 268.385619 107.693055 \nL 262.953521 111.111997 \nL 257.59594 114.704894 \nL 252.390829 118.394346 \nL 247.401864 122.118194 \nL 242.678246 125.828797 \nL 238.255349 129.491451 \nL 234.155964 133.082309 \nL 230.391912 136.586173 \nL 226.965803 139.994437 \nL 223.872819 143.303289 \nL 221.102404 146.512208 \nL 218.639784 149.622816 \nL 216.467297 152.637994 \nL 214.565511 155.56129 \nL 212.914141 158.396484 \nL 211.492786 161.14731 \nL 210.281487 163.817326 \nL 209.261152 166.409789 \nL 208.413854 168.927666 \nL 207.723035 171.373612 \nL 206.752093 176.058832 \nL 206.246355 180.481125 \nL 206.128225 184.652542 \nL 206.342823 188.58197 \nL 206.855692 192.275289 \nL 207.650477 195.735106 \nL 208.726959 198.960111 \nL 210.099615 201.943936 \nL 211.796745 204.673471 \nL 212.779525 205.936354 \nL 213.860165 207.12641 \nL 215.046032 208.238844 \nL 216.345374 209.267795 \nL 217.767348 210.206121 \nL 219.32203 211.045198 \nL 221.020429 211.774649 \nL 222.87449 212.382056 \nL 224.897089 212.85261 \nL 227.101992 213.168723 \nL 229.503787 213.309586 \nL 232.117776 213.250698 \nL 234.9598 212.963331 \nL 238.045989 212.414001 \nL 241.392399 211.563922 \nL 245.014517 210.368528 \nL 248.926606 208.777079 \nL 253.140812 206.732513 \nL 257.66604 204.171616 \nL 262.50649 201.025721 \nL 267.659843 197.222157 \nL 273.115063 192.686759 \nL 278.849725 187.347752 \nL 284.826984 181.141369 \nL 290.992181 174.019551 \nL 297.269338 165.959832 \nL 303.557734 156.977386 \nL 309.729199 147.138533 \nL 315.626616 136.574412 \nL 321.064636 125.492564 \nL 325.833431 114.183218 \nL 329.706477 103.016449 \nL 332.452885 92.426588 \nL 333.854268 82.881545 \nL 333.725078 74.838023 \nL 331.934102 68.687649 \nL 328.423772 64.703637 \nL 323.223376 63.000034 \nL 316.452905 63.514613 \nL 308.31558 66.020986 \nL 299.079835 70.167524 \nL 289.053774 75.533005 \nL 278.556822 81.68534 \nL 267.893507 88.230515 \nL 219.757569 118.301501 \nL 192.900411 134.84709 \nL 183.21925 141.009839 \nL 175.479111 146.146875 \nL 157.597804 158.338258 \nL 153.749106 160.429966 \nL 151.883806 161.246782 \nL 150.030204 161.905781 \nL 148.171274 162.401784 \nL 146.29276 162.728755 \nL 144.383061 162.879971 \nL 142.433134 162.848227 \nL 140.436448 162.626042 \nL 138.388973 162.205902 \nL 136.289201 161.580576 \nL 134.138206 160.743452 \nL 131.939737 159.68898 \nL 129.700313 158.413124 \nL 127.429361 156.913948 \nL 125.139316 155.192196 \nL 122.845716 153.251985 \nL 120.567264 151.101479 \nL 118.325824 148.753573 \nL 116.146306 146.226509 \nL 114.056459 143.544408 \nL 112.086531 140.737607 \nL 110.268725 137.84272 \nL 108.63652 134.902408 \nL 107.223767 131.964749 \nL 106.06364 129.082152 \nL 105.187414 126.309858 \nL 104.623167 123.704057 \nL 104.39443 121.31963 \nL 104.518893 119.207793 \nL 105.007259 117.413707 \nL 105.862362 115.974311 \nL 107.07858 114.916597 \nL 108.641692 114.256481 \nL 110.529143 113.998347 \nL 112.71076 114.135372 \nL 115.149838 114.650531 \nL 117.804567 115.518188 \nL 120.629622 116.706052 \nL 123.57789 118.177295 \nL 126.602092 119.892702 \nL 129.656343 121.812571 \nL 132.697416 123.898335 \nL 135.685796 126.113806 \nL 138.586386 128.425968 \nL 141.368956 130.805491 \nL 144.008293 133.226856 \nL 146.484132 135.668265 \nL 148.780907 138.111387 \nL 150.887368 140.540974 \nL 152.796084 142.944446 \nL 154.502927 145.31144 \nL 156.006516 147.633402 \nL 157.307697 149.903193 \nL 158.409018 152.11474 \nL 159.314278 154.262748 \nL 160.028117 156.34243 \nL 160.555649 158.349319 \nL 160.902172 160.279065 \nL 161.07291 162.127292 \nL 161.072811 163.889437 \nL 160.906401 165.560673 \nL 160.577665 167.135773 \nL 160.089973 168.609003 \nL 159.44605 169.974045 \nL 158.647956 171.223897 \nL 157.69711 172.350754 \nL 156.59433 173.345951 \nL 155.339919 174.199868 \nL 153.933755 174.901834 \nL 152.375424 175.440064 \nL 150.664378 175.801619 \nL 148.800119 175.972367 \nL 146.782436 175.936998 \nL 144.611679 175.679094 \nL 142.289061 175.181256 \nL 139.817027 174.425328 \nL 137.199671 173.392723 \nL 134.443207 172.064909 \nL 131.556488 170.42407 \nL 128.551571 168.453932 \nL 125.44434 166.140848 \nL 122.255107 163.47508 \nL 119.009231 160.45238 \nL 115.737682 157.075715 \nL 112.477464 153.357189 \nL 109.271905 149.319956 \nL 106.170673 145.000103 \nL 103.22943 140.448104 \nL 100.50908 135.729749 \nL 98.074461 130.926165 \nL 95.992497 126.132672 \nL 94.329769 121.456185 \nL 93.149538 117.01118 \nL 92.508392 112.914211 \nL 92.452739 109.277306 \nL 93.015383 106.200848 \nL 94.212616 103.766732 \nL 96.042106 102.032613 \nL 98.481935 101.028017 \nL 101.490921 100.753012 \nL 105.010339 101.179472 \nL 108.966866 102.254857 \nL 113.276447 103.907782 \nL 117.848721 106.054698 \nL 122.591551 108.606631 \nL 127.415248 111.475292 \nL 132.236134 114.577899 \nL 136.9793 117.840627 \nL 141.580382 121.20043 \nL 145.98648 124.605675 \nL 150.156295 128.015696 \nL 154.059604 131.399747 \nL 157.676335 134.735541 \nL 160.995329 138.007702 \nL 164.012973 141.206259 \nL 166.731805 144.325309 \nL 169.159185 147.361878 \nL 171.306071 150.315017 \nL 173.185931 153.185085 \nL 174.813816 155.973242 \nL 176.205588 158.68104 \nL 177.377286 161.310194 \nL 178.34463 163.862392 \nL 179.122639 166.339195 \nL 179.725348 168.741959 \nL 180.16561 171.071785 \nL 180.454958 173.329516 \nL 180.603528 175.515707 \nL 180.620026 177.630605 \nL 180.511715 179.674134 \nL 180.284436 181.645884 \nL 179.942637 183.545062 \nL 179.489413 185.370458 \nL 178.926557 187.120398 \nL 178.254606 188.792692 \nL 177.472885 190.384537 \nL 176.579562 191.892451 \nL 175.571682 193.312145 \nL 174.445216 194.638424 \nL 173.195094 195.865026 \nL 171.815253 196.984471 \nL 170.298674 197.98786 \nL 168.637436 198.864677 \nL 166.822777 199.602533 \nL 164.845168 200.186917 \nL 162.694427 200.60089 \nL 160.359845 200.824785 \nL 157.830368 200.835886 \nL 155.094847 200.608106 \nL 152.142339 200.111693 \nL 148.962529 199.312987 \nL 145.546252 198.174292 \nL 141.886164 196.653893 \nL 137.97758 194.706318 \nL 133.819511 192.282986 \nL 129.415922 189.333302 \nL 124.777229 185.806418 \nL 119.922042 181.653833 \nL 114.879123 176.832953 \nL 109.689523 171.311846 \nL 104.408773 165.075194 \nL 99.108945 158.131356 \nL 93.880363 150.520289 \nL 88.832541 142.321627 \nL 84.093956 133.661793 \nL 79.810156 124.718734 \nL 76.139659 115.722351 \nL 73.247382 106.94876 \nL 71.295337 98.706874 \nL 70.431101 91.316934 \nL 70.774854 85.082449 \nL 72.40643 80.258737 \nL 75.354399 77.023506 \nL 79.589096 75.455239 \nL 85.021255 75.524476 \nL 91.506983 77.100368 \nL 98.858694 79.971178 \nL 106.860278 83.874167 \nL 115.284261 88.528393 \nL 123.908288 93.664192 \nL 132.528868 99.044838 \nL 149.093999 109.823527 \nL 163.9927 119.895295 \nL 176.759935 128.896121 \nL 187.331337 136.815557 \nL 191.845486 140.41021 \nL 195.892325 143.789084 \nL 199.513528 146.972357 \nL 202.752994 149.978349 \nL 208.263511 155.519627 \nL 212.764872 160.510018 \nL 223.080344 172.630218 \nL 226.207056 175.740067 \nL 227.81083 177.107386 \nL 229.464835 178.341527 \nL 231.184788 179.434755 \nL 232.985172 180.3779 \nL 234.879346 181.160303 \nL 236.879598 181.769672 \nL 238.997176 182.192038 \nL 241.242243 182.411647 \nL 243.623794 182.410913 \nL 246.149495 182.170425 \nL 248.825458 181.668989 \nL 251.655936 180.883798 \nL 254.642938 179.790706 \nL 257.785718 178.364692 \nL 261.080226 176.580525 \nL 264.518411 174.413694 \nL 268.087452 171.841675 \nL 271.768943 168.845551 \nL 275.538006 165.412007 \nL 279.362409 161.535748 \nL 283.20179 157.222241 \nL 287.007023 152.490709 \nL 290.71988 147.37717 \nL 294.273108 141.937198 \nL 297.59111 136.24803 \nL 300.591339 130.409488 \nL 303.186576 124.543253 \nL 305.288099 118.789914 \nL 306.809815 113.303536 \nL 307.673086 108.243746 \nL 307.812022 103.765691 \nL 307.178706 100.008853 \nL 305.747872 97.085983 \nL 303.520307 95.073755 \nL 300.524507 94.006591 \nL 296.816246 93.874821 \nL 292.475881 94.627372 \nL 287.603747 96.178599 \nL 282.314063 98.418087 \nL 276.728136 101.221656 \nL 270.967586 104.462157 \nL 265.148256 108.018482 \nL 259.375366 111.782126 \nL 253.74011 115.661114 \nL 248.317747 119.581416 \nL 243.167021 123.486469 \nL 238.330705 127.335384 \nL 233.836893 131.100504 \nL 229.700794 134.764693 \nL 225.926762 138.318809 \nL 222.51037 141.75944 \nL 219.440371 145.087081 \nL 216.700489 148.304691 \nL 214.270967 151.416628 \nL 212.12988 154.427909 \nL 210.254203 157.343717 \nL 208.620658 160.169086 \nL 207.206362 162.908722 \nL 205.989312 165.566934 \nL 204.948722 168.147601 \nL 203.321117 173.089795 \nL 202.187943 177.758896 \nL 201.439379 182.173939 \nL 200.989875 186.350729 \nL 200.775339 190.302763 \nL 200.749917 194.041848 \nL 200.882918 197.578471 \nL 201.342566 202.523774 \nL 201.814354 205.592224 \nL 202.423164 208.485175 \nL 203.181642 211.206883 \nL 204.109754 213.759333 \nL 205.234978 216.141474 \nL 206.592917 218.348092 \nL 208.228286 220.368201 \nL 210.196261 222.182662 \nL 211.325486 223.003751 \nL 212.564158 223.760763 \nL 213.922904 224.447242 \nL 215.413363 225.055276 \nL 217.048245 225.575222 \nL 218.841385 225.995373 \nL 220.807798 226.301558 \nL 222.963705 226.476683 \nL 225.326539 226.500193 \nL 227.914905 226.34746 \nL 230.748502 225.989082 \nL 233.847956 225.39011 \nL 237.23456 224.509204 \nL 240.929869 223.297766 \nL 244.955131 221.699093 \nL 249.330476 219.647624 \nL 254.073792 217.068445 \nL 259.199249 213.877227 \nL 264.715352 209.980883 \nL 270.622431 205.279339 \nL 276.909509 199.668871 \nL 283.550469 193.047653 \nL 290.499548 185.324137 \nL 297.686213 176.42889 \nL 305.00973 166.330274 \nL 312.33389 155.053832 \nL 319.482746 142.704274 \nL 326.238484 129.487485 \nL 332.342941 115.728219 \nL 337.504545 101.877132 \nL 341.412084 88.499958 \nL 343.756319 76.242281 \nL 344.258644 65.767559 \nL 342.704182 57.673393 \nL 338.97424 52.400245 \nL 333.071467 50.154548 \nL 325.130831 50.869146 \nL 315.412283 54.215303 \nL 304.274883 59.665118 \nL 292.137422 66.586209 \nL 279.43383 74.341593 \nL 253.905202 90.233753 \nL 241.711635 97.630959 \nL 230.193492 104.384954 \nL 219.480284 110.418312 \nL 209.639876 115.723972 \nL 200.691426 120.339119 \nL 192.618157 124.324735 \nL 178.915846 130.689302 \nL 168.055607 135.356143 \nL 159.494536 138.759699 \nL 152.724861 141.211632 \nL 147.314557 142.923499 \nL 142.916688 144.036045 \nL 139.264533 144.643887 \nL 136.161355 144.813867 \nL 133.469027 144.597968 \nL 131.097275 144.042425 \nL 128.994105 143.194017 \nL 127.137377 142.104355 \nL 125.527269 140.832286 \nL 124.179318 139.444719 \nL 123.11791 138.015685 \nL 122.369977 136.62376 \nL 121.959124 135.347981 \nL 121.900413 134.262821 \nL 122.196135 133.432768 \nL 122.473416 133.129619 \nL 122.833037 132.907485 \nL 123.781259 132.718162 \nL 124.995148 132.875852 \nL 126.415731 133.371813 \nL 127.974545 134.179708 \nL 129.598153 135.259144 \nL 131.212774 136.559819 \nL 132.748427 138.025578 \nL 134.14221 139.59794 \nL 135.340484 141.218736 \nL 136.300053 142.8319 \nL 136.988425 144.38438 \nL 137.383427 145.826583 \nL 137.472481 147.112375 \nL 137.251785 148.199035 \nL 136.725571 149.047272 \nL 135.905649 149.621451 \nL 134.811286 149.890289 \nL 133.469395 149.827951 \nL 131.915036 149.415838 \nL 130.192057 148.644838 \nL 128.353687 147.518126 \nL 126.462804 146.054184 \nL 124.591596 144.289719 \nL 122.820127 142.281815 \nL 121.233723 140.108639 \nL 119.918732 137.867897 \nL 118.95688 135.672418 \nL 118.418468 133.642757 \nL 118.325135 132.727509 \nL 118.35523 131.897345 \nL 118.51125 131.164914 \nL 118.793818 130.541344 \nL 119.201584 130.035993 \nL 119.731215 129.656194 \nL 120.377409 129.407144 \nL 121.132996 129.291791 \nL 121.98905 129.310827 \nL 122.935097 129.462794 \nL 125.048902 130.149648 \nL 127.368972 131.303772 \nL 129.782008 132.855297 \nL 132.175691 134.72175 \nL 134.446115 136.815881 \nL 136.503132 139.051624 \nL 138.273283 141.347948 \nL 139.700563 143.630592 \nL 140.745559 145.832331 \nL 141.383548 147.892202 \nL 141.602176 149.754288 \nL 141.399227 151.366402 \nL 141.141284 152.063166 \nL 140.780821 152.679051 \nL 140.319727 153.208181 \nL 139.760312 153.644816 \nL 139.105321 153.983351 \nL 138.357959 154.218372 \nL 137.521918 154.344684 \nL 136.601434 154.357401 \nL 135.601335 154.252001 \nL 133.384945 153.671408 \nL 130.925793 152.579119 \nL 128.2909 150.966544 \nL 125.563286 148.846528 \nL 122.843119 146.260181 \nL 120.247178 143.283084 \nL 117.90577 140.029389 \nL 115.956452 136.651598 \nL 115.171459 134.972899 \nL 114.534244 133.334234 \nL 114.059164 131.761421 \nL 113.758699 130.280225 \nL 113.642993 128.915566 \nL 113.719448 127.69079 \nL 113.992331 126.626884 \nL 114.462524 125.741803 \nL 115.127351 125.049909 \nL 115.980532 124.561538 \nL 117.012243 124.282756 \nL 118.209337 124.21531 \nL 119.555695 124.356752 \nL 121.032629 124.70078 \nL 122.619431 125.237654 \nL 124.29392 125.954777 \nL 126.033049 126.837316 \nL 129.612212 129.031849 \nL 133.176507 131.681045 \nL 136.563926 134.64476 \nL 139.640174 137.793943 \nL 142.302603 141.015972 \nL 144.479562 144.215509 \nL 146.126615 147.312462 \nL 147.221132 150.238462 \nL 147.558667 151.618276 \nL 147.756578 152.933126 \nL 147.81571 154.176112 \nL 147.737325 155.340427 \nL 147.52301 156.419258 \nL 147.174603 157.40573 \nL 146.694148 158.29285 \nL 146.083871 159.07347 \nL 145.346174 159.740255 \nL 144.483661 160.285666 \nL 143.499195 160.701985 \nL 142.395948 160.981322 \nL 141.177505 161.115685 \nL 139.847968 161.097075 \nL 138.412096 160.917577 \nL 136.875443 160.569558 \nL 135.244534 160.045827 \nL 133.527041 159.339928 \nL 131.73197 158.446412 \nL 129.869864 157.361235 \nL 127.952977 156.08213 \nL 125.995454 154.609104 \nL 124.013475 152.94493 \nL 122.025381 151.095645 \nL 120.051722 149.071102 \nL 118.115222 146.885431 \nL 116.240689 144.557473 \nL 114.454778 142.11105 \nL 112.785652 139.575074 \nL 111.262488 136.983438 \nL 109.914843 134.374617 \nL 108.77187 131.790974 \nL 107.861427 129.27771 \nL 107.209103 126.881539 \nL 106.837155 124.649078 \nL 106.763481 122.625072 \nL 107.000662 120.850509 \nL 107.555155 119.360894 \nL 108.426723 118.184655 \nL 109.608088 117.34198 \nL 111.084946 116.844083 \nL 112.836319 116.693003 \nL 114.835192 116.882002 \nL 117.049448 117.396342 \nL 119.443024 118.2146 \nL 121.977205 119.310114 \nL 124.611937 120.652614 \nL 127.307151 122.209828 \nL 130.023931 123.94892 \nL 132.725534 125.837744 \nL 135.378198 127.845767 \nL 137.951722 129.944794 \nL 140.419814 132.109321 \nL 142.760253 134.316741 \nL 144.954854 136.547316 \nL 146.989284 138.784023 \nL 148.852788 141.012304 \nL 150.537812 143.219758 \nL 152.039604 145.395842 \nL 153.355775 147.531517 \nL 154.485876 149.618961 \nL 155.430996 151.651291 \nL 156.193371 153.622316 \nL 156.776055 155.526305 \nL 157.18261 157.357807 \nL 157.416868 159.111483 \nL 157.4827 160.78196 \nL 157.383861 162.363703 \nL 157.123854 163.850904 \nL 156.705833 165.23737 \nL 156.132557 166.51645 \nL 155.406356 167.680911 \nL 154.529138 168.72288 \nL 153.502426 169.633778 \nL 152.327416 170.40424 \nL 151.005074 171.024057 \nL 149.536249 171.482159 \nL 147.921835 171.766604 \nL 146.162942 171.864575 \nL 144.261119 171.762459 \nL 142.218601 171.445979 \nL 140.038612 170.900346 \nL 137.725686 170.110558 \nL 135.286033 169.061757 \nL 132.727962 167.739751 \nL 130.062308 166.131646 \nL 127.302906 164.226634 \nL 124.467057 162.016997 \nL 121.576005 159.499204 \nL 118.655342 156.675218 \nL 115.735361 153.553872 \nL 112.851282 150.152304 \nL 110.043275 146.497317 \nL 107.356267 142.626534 \nL 104.839439 138.589207 \nL 102.545349 134.446422 \nL 100.528655 130.270579 \nL 98.844451 126.143938 \nL 97.546155 122.156105 \nL 96.683106 118.40052 \nL 96.297965 114.970056 \nL 96.424083 111.951987 \nL 97.08308 109.422876 \nL 98.282894 107.443774 \nL 100.016477 106.056438 \nL 102.261387 105.280995 \nL 104.980336 105.115313 \nL 108.122695 105.536229 \nL 111.626828 106.502411 \nL 115.423097 107.958422 \nL 119.43717 109.839442 \nL 123.59342 112.076047 \nL 127.818057 114.598642 \nL 132.041843 117.34099 \nL 136.202176 120.242828 \nL 140.244544 123.251431 \nL 144.123306 126.32231 \nL 147.8019 129.419118 \nL 151.252582 132.513094 \nL 154.455793 135.582149 \nL 157.399296 138.609839 \nL 160.077163 141.5843 \nL 162.488724 144.497242 \nL 164.637523 147.343106 \nL 166.530343 150.118299 \nL 168.176315 152.820613 \nL 169.586143 155.448769 \nL 170.771431 158.002042 \nL 171.744135 160.480013 \nL 172.516104 162.882342 \nL 173.098728 165.208671 \nL 173.502656 167.458462 \nL 173.737589 169.630964 \nL 173.812144 171.72512 \nL 173.733745 173.739514 \nL 173.50857 175.672296 \nL 173.141524 177.521154 \nL 172.636236 179.283214 \nL 171.995069 180.954988 \nL 171.219158 182.532279 \nL 170.308445 184.010072 \nL 169.261732 185.382432 \nL 168.076739 186.642373 \nL 166.750175 187.781725 \nL 165.277811 188.790952 \nL 163.654579 189.658993 \nL 161.87467 190.373066 \nL 159.931681 190.918473 \nL 157.818761 191.278403 \nL 155.528812 191.433718 \nL 153.054739 191.362788 \nL 150.389748 191.041331 \nL 147.527722 190.442342 \nL 144.463687 189.536109 \nL 141.194379 188.290351 \nL 137.718917 186.670612 \nL 134.039625 184.640857 \nL 130.163004 182.164489 \nL 126.100832 179.205798 \nL 121.871421 175.731921 \nL 117.500969 171.715534 \nL 113.025016 167.138135 \nL 108.489854 161.99414 \nL 103.953804 156.295505 \nL 99.488171 150.076755 \nL 95.177702 143.399972 \nL 91.120172 136.359059 \nL 87.424951 129.082467 \nL 84.210182 121.73333 \nL 81.598373 114.506035 \nL 79.710433 107.618411 \nL 78.65828 101.299251 \nL 78.536499 95.77179 \nL 79.413875 91.234784 \nL 81.325804 87.84368 \nL 84.26877 85.694939 \nL 88.197861 84.816656 \nL 93.02801 85.167208 \nL 98.639021 86.642546 \nL 104.883823 89.090444 \nL 111.59884 92.329121 \nL 118.615073 96.166676 \nL 125.768525 100.418204 \nL 132.908838 104.918604 \nL 139.905457 109.530186 \nL 146.651212 114.145453 \nL 153.063481 118.686075 \nL 159.083427 123.099387 \nL 164.673901 127.353704 \nL 169.816516 131.43335 \nL 174.508411 135.334121 \nL 178.759006 139.059411 \nL 182.586988 142.617246 \nL 186.017674 146.018004 \nL 189.080757 149.272928 \nL 191.808494 152.393096 \nL 194.234257 155.388828 \nL 196.391443 158.26937 \nL 198.312663 161.042798 \nL 201.570555 166.294786 \nL 204.236378 171.187265 \nL 207.54746 177.910206 \nL 210.502524 183.933978 \nL 212.485958 187.564811 \nL 214.603346 190.877083 \nL 216.948999 193.850068 \nL 218.235527 195.199332 \nL 219.612654 196.449806 \nL 221.091555 197.594531 \nL 222.683578 198.625144 \nL 224.400311 199.531676 \nL 226.253623 200.302317 \nL 228.255689 200.923144 \nL 230.418965 201.377843 \nL 232.756129 201.647384 \nL 235.279975 201.709709 \nL 238.003233 201.539379 \nL 240.938327 201.107265 \nL 244.097013 200.380275 \nL 247.489922 199.321162 \nL 251.125941 197.888482 \nL 255.011434 196.036771 \nL 259.149257 193.717065 \nL 263.537565 190.877846 \nL 268.168336 187.466652 \nL 273.025691 183.432448 \nL 278.083902 178.728993 \nL 283.305267 173.319383 \nL 288.637825 167.181862 \nL 294.013166 160.316822 \nL 299.344513 152.754873 \nL 304.525463 144.565269 \nL 309.429799 135.863771 \nL 313.912908 126.818485 \nL 317.815321 117.651764 \nL 320.96882 108.636175 \nL 323.205295 100.082747 \nL 324.368157 92.320814 \nL 324.325574 85.670137 \nL 322.984043 80.408589 \nL 320.300491 76.740366 \nL 316.290709 74.770884 \nL 311.032261 74.494208 \nL 304.660867 75.796239 \nL 297.360373 78.473257 \nL 289.347741 82.261583 \nL 280.855448 86.871886 \nL 272.114014 92.021127 \nL 263.337007 97.457107 \nL 246.384499 108.413436 \nL 231.061808 118.678629 \nL 217.888273 127.839865 \nL 206.957577 135.872036 \nL 202.28517 139.505811 \nL 198.09464 142.913674 \nL 194.343857 146.117016 \nL 187.982041 151.985631 \nL 182.841387 157.236552 \nL 178.586442 161.95309 \nL 171.59485 169.942505 \nL 168.395948 173.227545 \nL 166.788545 174.68428 \nL 165.149933 176.010533 \nL 163.462782 177.199711 \nL 161.711233 178.243855 \nL 159.880769 179.133601 \nL 157.958121 179.858067 \nL 155.931203 180.404817 \nL 153.789111 180.759754 \nL 151.522159 180.90709 \nL 149.121979 180.829332 \nL 146.581691 180.507309 \nL 143.896151 179.920277 \nL 141.062247 179.046155 \nL 138.079322 177.861873 \nL 134.94965 176.343883 \nL 131.67902 174.468953 \nL 128.277393 172.215153 \nL 124.759653 169.563194 \nL 121.146366 166.498122 \nL 117.464607 163.011324 \nL 113.748716 159.102911 \nL 110.040945 154.784355 \nL 106.391901 150.081224 \nL 102.860685 145.035907 \nL 99.514535 139.70983 \nL 96.427929 134.184953 \nL 93.680893 128.563973 \nL 91.356555 122.968768 \nL 89.537821 117.536796 \nL 88.3033 112.415188 \nL 87.72265 107.752706 \nL 87.851702 103.690143 \nL 88.727799 100.350041 \nL 90.365933 97.827123 \nL 92.756138 96.18068 \nL 95.862641 95.430295 \nL 99.624985 95.555396 \nL 103.961098 96.498994 \nL 108.772001 98.174742 \nL 113.947634 100.4762 \nL 119.373142 103.286865 \nL 124.934974 106.489498 \nL 130.526156 109.97384 \nL 136.050446 113.641961 \nL 141.425124 117.411319 \nL 146.582465 121.215663 \nL 151.470025 125.004399 \nL 156.050023 128.74087 \nL 160.298031 132.400104 \nL 164.201303 135.966459 \nL 167.756877 139.431337 \nL 170.969694 142.791234 \nL 173.850801 146.046132 \nL 176.41573 149.19825 \nL 178.683095 152.251091 \nL 180.673392 155.208802 \nL 182.408042 158.075731 \nL 183.908612 160.856127 \nL 185.196227 163.554015 \nL 186.291125 166.173079 \nL 187.212351 168.716654 \nL 187.977545 171.187734 \nL 189.102727 175.922806 \nL 189.776624 180.396408 \nL 190.084486 184.623066 \nL 190.088786 188.614473 \nL 189.831842 192.379955 \nL 189.338473 195.926566 \nL 188.618306 199.258893 \nL 187.667554 202.378545 \nL 186.470196 205.283309 \nL 184.998549 207.965845 \nL 183.213276 210.411837 \nL 182.187442 211.539112 \nL 181.06291 212.597316 \nL 179.831204 213.581319 \nL 178.48297 214.48484 \nL 177.007926 215.300214 \nL 175.394841 216.018169 \nL 173.631497 216.627512 \nL 171.704677 217.114816 \nL 169.600162 217.464004 \nL 167.302757 217.655925 \nL 164.796356 217.667831 \nL 162.064049 217.472828 \nL 159.088315 217.039264 \nL 155.851289 216.330103 \nL 152.335162 215.302274 \nL 148.522723 213.906098 \nL 144.39812 212.084822 \nL 139.947856 209.774417 \nL 135.162099 206.903773 \nL 130.036358 203.395516 \nL 124.573584 199.16775 \nL 118.786762 194.137085 \nL 112.702011 188.223349 \nL 106.362159 181.356432 \nL 99.830683 173.485687 \nL 93.195845 164.591984 \nL 86.574552 154.702307 \nL 80.115356 143.905937 \nL 73.999782 132.370355 \nL 68.440855 120.353891 \nL 63.677745 108.210825 \nL 59.965301 96.384161 \nL 57.558195 85.381726 \nL 56.689768 75.733842 \nL 57.547515 67.935064 \nL 60.248351 62.378639 \nL 64.818251 59.297013 \nL 71.180773 58.723942 \nL 79.158215 60.48955 \nL 88.48619 64.251369 \nL 98.839586 69.55331 \nL 109.864867 75.89676 \nL 121.212608 82.80644 \nL 154.270087 103.367463 \nL 173.548528 114.996836 \nL 189.824358 124.481683 \nL 237.067629 151.468416 \nL 241.431749 153.68143 \nL 245.343544 155.290755 \nL 247.195081 155.870691 \nL 249.004555 156.299257 \nL 250.788433 156.574236 \nL 252.560093 156.692898 \nL 254.329992 156.652224 \nL 256.105801 156.449152 \nL 257.892533 156.080834 \nL 259.692622 155.544906 \nL 261.505984 154.839809 \nL 263.330081 153.965082 \nL 265.159955 152.921697 \nL 266.98825 151.712434 \nL 268.805291 150.342258 \nL 270.599132 148.818656 \nL 272.355653 147.152 \nL 274.05872 145.35585 \nL 275.690395 143.447171 \nL 277.231197 141.446482 \nL 278.660445 139.377827 \nL 279.956742 137.268652 \nL 281.098458 135.149429 \nL 282.064349 133.053132 \nL 282.834247 131.014473 \nL 283.389759 129.068983 \nL 283.715017 127.251921 \nL 283.79738 125.597068 \nL 283.628104 124.135548 \nL 283.202878 122.894618 \nL 282.522236 121.896666 \nL 281.591766 121.158409 \nL 280.422138 120.690346 \nL 279.028899 120.496562 \nL 277.432061 120.574839 \nL 275.655512 120.917111 \nL 273.726267 121.510164 \nL 271.673625 122.336507 \nL 269.528247 123.375423 \nL 267.321269 124.603978 \nL 265.083461 125.998027 \nL 262.844443 127.533117 \nL 258.471876 130.93147 \nL 254.396977 134.621801 \nL 250.768681 138.453257 \nL 247.690361 142.303896 \nL 246.378385 144.205505 \nL 245.224617 146.07757 \nL 244.231842 147.911153 \nL 243.401386 149.698168 \nL 242.733382 151.431187 \nL 242.227039 153.103268 \nL 241.880876 154.707808 \nL 241.692929 156.23837 \nL 241.660923 157.688581 \nL 241.782417 159.05202 \nL 242.054921 160.322093 \nL 242.475968 161.49197 \nL 243.043175 162.554485 \nL 243.754256 163.5021 \nL 244.607015 164.326822 \nL 245.599315 165.020183 \nL 246.729006 165.573211 \nL 247.993849 165.976429 \nL 249.391386 166.219885 \nL 250.918798 166.293191 \nL 252.572739 166.185642 \nL 254.349123 165.88633 \nL 256.24291 165.384374 \nL 258.247839 164.66917 \nL 260.356162 163.730741 \nL 262.558344 162.560157 \nL 264.842749 161.150074 \nL 267.195343 159.495358 \nL 269.599369 157.593809 \nL 272.035107 155.446953 \nL 274.479625 153.060905 \nL 276.906644 150.447265 \nL 279.286505 147.623952 \nL 281.586295 144.615973 \nL 283.770104 141.455975 \nL 285.799547 138.184505 \nL 287.6345 134.849862 \nL 289.234082 131.507475 \nL 290.557891 128.218708 \nL 291.567483 125.04903 \nL 292.227952 122.065673 \nL 292.509646 119.334796 \nL 292.389818 116.918369 \nL 291.854134 114.871053 \nL 290.897852 113.237301 \nL 289.526586 112.049096 \nL 287.756557 111.324383 \nL 285.614274 111.06659 \nL 283.135593 111.265073 \nL 280.364308 111.8966 \nL 277.350319 112.927516 \nL 274.147556 114.316439 \nL 270.811795 116.017125 \nL 267.398559 117.981251 \nL 263.961229 120.160798 \nL 260.549464 122.510103 \nL 257.208034 124.987222 \nL 253.975995 127.554797 \nL 250.886294 130.180488 \nL 247.965673 132.836943 \nL 245.234887 135.5015 \nL 242.70911 138.155754 \nL 240.398506 140.784951 \nL 238.308866 143.377405 \nL 236.442308 145.923923 \nL 234.797964 148.417263 \nL 233.372623 150.851661 \nL 232.161343 153.222441 \nL 231.157988 155.525691 \nL 230.355703 157.757972 \nL 229.747319 159.916103 \nL 229.325666 161.996988 \nL 229.083868 163.997455 \nL 229.01554 165.914143 \nL 229.114953 167.743368 \nL 229.377148 169.481044 \nL 229.798019 171.122582 \nL 230.374344 172.662782 \nL 231.103805 174.095739 \nL 231.984977 175.414759 \nL 233.017286 176.612235 \nL 234.200946 177.679552 \nL 235.536887 178.606953 \nL 237.026643 179.383462 \nL 238.672221 179.996746 \nL 240.475938 180.433022 \nL 242.440238 180.676982 \nL 244.567451 180.711728 \nL 246.859522 180.518788 \nL 249.317689 180.078154 \nL 251.942089 179.368426 \nL 254.731318 178.36708 \nL 257.6819 177.050865 \nL 260.787694 175.396431 \nL 264.039224 173.381149 \nL 267.422939 170.984245 \nL 270.920413 168.188241 \nL 274.507536 164.980729 \nL 278.153669 161.356489 \nL 281.820947 157.31993 \nL 285.463655 152.887727 \nL 289.027908 148.091504 \nL 292.45167 142.98031 \nL 295.665298 137.622573 \nL 298.592726 132.107061 \nL 301.153371 126.542449 \nL 303.264885 121.055031 \nL 304.846707 115.784305 \nL 305.824273 110.876397 \nL 306.133718 106.475511 \nL 305.726588 102.714204 \nL 304.574145 99.703487 \nL 302.670751 97.524076 \nL 300.035743 96.2201 \nL 296.713596 95.796251 \nL 292.772071 96.218906 \nL 288.298593 97.42103 \nL 283.395169 99.309966 \nL 278.172455 101.776867 \nL 272.743629 104.706389 \nL 267.218657 107.985254 \nL 261.699509 111.509015 \nL 256.276525 115.186467 \nL 251.026172 118.941923 \nL 246.010015 122.715486 \nL 241.274755 126.462056 \nL 236.853085 130.149443 \nL 232.76512 133.756122 \nL 229.02012 137.26895 \nL 225.61835 140.681027 \nL 222.552911 143.98993 \nL 219.811438 147.196222 \nL 217.377631 150.302369 \nL 215.232563 153.311892 \nL 213.355777 156.228809 \nL 211.726173 159.057256 \nL 210.32271 161.801226 \nL 209.124936 164.464478 \nL 208.113387 167.050433 \nL 207.269851 169.562187 \nL 206.577555 172.002512 \nL 205.587291 176.678436 \nL 205.039518 181.094835 \nL 204.855543 185.264853 \nL 204.979074 189.198802 \nL 205.373687 192.904407 \nL 206.020339 196.386761 \nL 206.915274 199.647894 \nL 208.068462 202.686002 \nL 209.502656 205.494206 \nL 211.253027 208.058775 \nL 212.261197 209.242916 \nL 213.367333 210.356536 \nL 214.579469 211.394672 \nL 215.906519 212.351233 \nL 217.358306 213.218805 \nL 218.945589 213.988414 \nL 220.680087 214.64925 \nL 222.57449 215.188346 \nL 224.64246 215.590208 \nL 226.898592 215.836393 \nL 229.358362 215.905038 \nL 232.038011 215.77032 \nL 234.954364 215.401908 \nL 238.124577 214.764347 \nL 241.565747 213.816476 \nL 245.294395 212.510872 \nL 249.325764 210.793426 \nL 253.672856 208.603158 \nL 258.345222 205.872379 \nL 263.347373 202.527446 \nL 268.676821 198.490363 \nL 274.321635 193.681551 \nL 280.257575 188.024175 \nL 286.444715 181.45042 \nL 292.823764 173.910108 \nL 299.312173 165.381764 \nL 305.800469 155.886103 \nL 312.14933 145.501054 \nL 318.188134 134.376784 \nL 323.716017 122.748032 \nL 328.506471 110.940005 \nL 332.316493 99.363424 \nL 334.900843 88.494619 \nL 336.031266 78.838667 \nL 335.519256 70.877056 \nL 333.239486 65.007025 \nL 329.15 61.484065 \nL 323.304758 60.381763 \nL 315.855055 61.580475 \nL 307.038254 64.789454 \nL 297.155387 69.596859 \nL 286.54168 75.534694 \nL 275.535516 82.142401 \nL 223.913144 114.12234 \nL 200.582914 128.003841 \nL 178.962417 140.838563 \nL 165.090504 149.427317 \nL 157.679622 153.946489 \nL 153.52315 156.180382 \nL 151.583126 157.070939 \nL 149.701104 157.809691 \nL 147.855849 158.394403 \nL 146.029381 158.82186 \nL 144.206767 159.088097 \nL 142.37597 159.188618 \nL 140.52772 159.118639 \nL 138.655413 158.873298 \nL 136.755037 158.447939 \nL 134.825149 157.838399 \nL 132.866852 157.041344 \nL 130.883808 156.054616 \nL 128.882261 154.877669 \nL 126.871045 153.511987 \nL 124.861606 151.961579 \nL 122.867981 150.23343 \nL 120.906749 148.337996 \nL 118.996904 146.289597 \nL 117.159683 144.106809 \nL 115.418278 141.812677 \nL 113.797451 139.4348 \nL 112.323037 137.00517 \nL 111.021308 134.559838 \nL 109.918253 132.138226 \nL 109.038716 129.782208 \nL 108.4055 127.534908 \nL 108.038395 125.439276 \nL 107.953274 123.53649 \nL 108.161195 121.86435 \nL 108.667711 120.4557 \nL 109.472317 119.337073 \nL 110.568171 118.527626 \nL 111.94208 118.038462 \nL 113.574782 117.872474 \nL 115.441515 118.02456 \nL 117.512829 118.482355 \nL 119.755609 119.227281 \nL 122.134184 120.235818 \nL 124.611531 121.480919 \nL 127.15044 122.933407 \nL 129.714579 124.563304 \nL 132.269431 126.340946 \nL 134.78306 128.237856 \nL 137.226643 130.227448 \nL 139.574859 132.285408 \nL 141.806047 134.389927 \nL 143.902226 136.521721 \nL 145.84897 138.663963 \nL 147.635169 140.802051 \nL 149.252728 142.923406 \nL 150.696212 145.01717 \nL 151.962463 147.073927 \nL 153.050215 149.085447 \nL 153.959724 151.044404 \nL 154.692426 152.944162 \nL 155.250611 154.778572 \nL 155.637154 156.541767 \nL 155.855257 158.228014 \nL 155.908264 159.831591 \nL 155.799492 161.346629 \nL 155.532102 162.767032 \nL 155.109017 164.086343 \nL 154.532861 165.297678 \nL 153.805932 166.393635 \nL 152.930219 167.366231 \nL 151.907426 168.206817 \nL 150.739044 168.906046 \nL 149.426435 169.453837 \nL 147.970965 169.839341 \nL 146.37415 170.050967 \nL 144.637828 170.076434 \nL 142.764398 169.902846 \nL 140.757044 169.516848 \nL 138.620036 168.904852 \nL 136.359048 168.05334 \nL 133.981504 166.949264 \nL 131.496966 165.58058 \nL 128.917535 163.9369 \nL 126.25827 162.010293 \nL 123.537613 159.796221 \nL 120.777751 157.294608 \nL 118.004972 154.511022 \nL 115.249891 151.457908 \nL 112.547545 148.155794 \nL 109.937307 144.634378 \nL 107.462564 140.933395 \nL 105.170098 137.103038 \nL 103.109113 133.20382 \nL 101.329959 129.305727 \nL 99.882445 125.486543 \nL 98.813874 121.829254 \nL 98.166837 118.418653 \nL 97.97689 115.337291 \nL 98.270337 112.661041 \nL 99.062217 110.454764 \nL 100.354829 108.768407 \nL 102.136856 107.634155 \nL 104.383298 107.064837 \nL 107.056223 107.053886 \nL 110.106322 107.576756 \nL 113.475143 108.593685 \nL 117.097823 110.053329 \nL 120.906006 111.896839 \nL 124.830776 114.061955 \nL 128.805361 116.486604 \nL 132.767381 119.111895 \nL 136.660616 121.884188 \nL 140.436172 124.756414 \nL 144.053102 127.688581 \nL 147.478558 130.647724 \nL 150.687516 133.607405 \nL 153.662216 136.546983 \nL 156.391385 139.450723 \nL 158.869365 142.306923 \nL 161.095171 145.107064 \nL 163.071577 147.845046 \nL 164.804259 150.516596 \nL 166.300999 153.118705 \nL 167.570993 155.649223 \nL 168.624256 158.106554 \nL 169.47112 160.489378 \nL 170.121819 162.796474 \nL 170.586172 165.02658 \nL 170.873315 167.178255 \nL 170.991524 169.249818 \nL 170.948066 171.23924 \nL 170.749113 173.144081 \nL 170.399687 174.961417 \nL 169.903634 176.687749 \nL 169.263621 178.318951 \nL 168.481157 179.850144 \nL 167.556626 181.275604 \nL 166.489338 182.588663 \nL 165.277593 183.78155 \nL 163.91875 184.845285 \nL 162.409339 185.769514 \nL 160.745143 186.542338 \nL 158.921349 187.150164 \nL 156.932708 187.577536 \nL 154.773719 187.80697 \nL 152.438869 187.818825 \nL 149.922919 187.591173 \nL 147.221258 187.099792 \nL 144.330326 186.318183 \nL 141.248125 185.217766 \nL 137.974829 183.768203 \nL 134.513506 181.938014 \nL 130.870967 179.695439 \nL 127.058708 177.009713 \nL 123.094006 173.852795 \nL 119.001064 170.201578 \nL 114.812215 166.040737 \nL 110.569113 161.36605 \nL 106.323782 156.188246 \nL 102.139407 150.537151 \nL 98.09068 144.465737 \nL 94.263512 138.053672 \nL 90.753809 131.40964 \nL 87.665227 124.671706 \nL 85.105624 118.004876 \nL 83.182218 111.59531 \nL 81.995581 105.640742 \nL 81.632797 100.337692 \nL 82.160367 95.866324 \nL 83.617642 92.374886 \nL 86.011716 89.966033 \nL 89.314562 88.687269 \nL 93.463051 88.52754 \nL 98.362092 89.420494 \nL 103.890581 91.253838 \nL 109.909419 93.883162 \nL 116.270638 97.147561 \nL 122.826432 100.884578 \nL 129.437167 104.942417 \nL 135.977596 109.188503 \nL 142.341041 113.513892 \nL 148.441487 117.834333 \nL 154.213882 122.088684 \nL 159.61305 126.235777 \nL 164.611666 130.250604 \nL 169.197708 134.120458 \nL 173.371725 137.841458 \nL 177.144147 141.415625 \nL 180.532831 144.848631 \nL 183.560894 148.148093 \nL 186.254887 151.322427 \nL 188.643301 154.38007 \nL 190.755389 157.328996 \nL 192.620262 160.176497 \nL 194.266223 162.929055 \nL 197.007954 168.17132 \nL 199.176932 173.092533 \nL 200.94087 177.719766 \nL 203.788261 186.165849 \nL 205.73499 191.838301 \nL 207.095886 195.315218 \nL 208.587215 198.547719 \nL 210.273228 201.528872 \nL 212.218515 204.244184 \nL 213.30949 205.494931 \nL 214.491328 206.668995 \nL 215.773613 207.761097 \nL 217.1665 208.764789 \nL 218.680781 209.672241 \nL 220.327941 210.474017 \nL 222.120201 211.158785 \nL 224.070548 211.713019 \nL 226.192725 212.12063 \nL 228.501207 212.362555 \nL 231.011126 212.416317 \nL 233.738139 212.255527 \nL 236.698233 211.849374 \nL 239.907424 211.162099 \nL 243.381343 210.152488 \nL 247.134673 208.773471 \nL 251.180377 206.971867 \nL 255.528714 204.688392 \nL 260.185967 201.858123 \nL 265.152822 198.411552 \nL 270.422409 194.276566 \nL 275.977889 189.381583 \nL 281.78968 183.660236 \nL 287.812296 177.057901 \nL 293.980956 169.540336 \nL 300.208213 161.104419 \nL 306.380942 151.790678 \nL 312.358293 141.69665 \nL 317.971288 130.989279 \nL 323.025025 119.913785 \nL 327.30432 108.795477 \nL 330.583562 98.030843 \nL 332.641054 88.065038 \nL 333.277319 79.354816 \nL 332.335724 72.319932 \nL 329.722612 67.290163 \nL 325.423512 64.458535 \nL 319.51163 63.85239 \nL 312.146174 65.330609 \nL 303.559841 68.608706 \nL 294.0373 73.305662 \nL 283.888583 79.00051 \nL 273.422056 85.28564 \nL 252.62914 98.28444 \nL 224.674389 115.830071 \nL 196.692187 133.260648 \nL 186.526581 139.800636 \nL 178.397629 145.269683 \nL 169.050548 151.916402 \nL 161.92657 157.052491 \nL 157.871668 159.724136 \nL 154.081739 161.799588 \nL 152.225498 162.606878 \nL 150.368885 163.254302 \nL 148.495788 163.735867 \nL 146.592735 164.044696 \nL 144.648799 164.173218 \nL 142.655519 164.113337 \nL 140.606876 163.856635 \nL 138.499316 163.394653 \nL 136.331788 162.719168 \nL 134.105851 161.82259 \nL 131.825794 160.698403 \nL 129.498759 159.341676 \nL 127.134918 157.749699 \nL 124.747624 155.922615 \nL 122.353528 153.864195 \nL 119.972678 151.582591 \nL 117.628519 149.091127 \nL 115.347845 146.409001 \nL 113.160534 143.561884 \nL 111.099235 140.582322 \nL 109.198767 137.509856 \nL 107.495371 134.390728 \nL 106.025731 131.277221 \nL 104.825794 128.226418 \nL 103.929433 125.298508 \nL 103.366964 122.554615 \nL 103.163648 120.054273 \nL 103.338263 117.852687 \nL 103.901812 115.998089 \nL 104.856555 114.529285 \nL 106.195427 113.473789 \nL 107.901896 112.846629 \nL 109.950332 112.64997 \nL 112.306887 112.873699 \nL 114.93077 113.496612 \nL 117.77589 114.488432 \nL 120.792699 115.812075 \nL 123.930078 117.426091 \nL 127.137201 119.287094 \nL 130.365156 121.351826 \nL 133.56834 123.578879 \nL 136.705517 125.929941 \nL 139.74051 128.370607 \nL 142.642602 130.870754 \nL 145.386612 133.404572 \nL 147.95275 135.950399 \nL 150.32626 138.490307 \nL 152.496944 141.00966 \nL 154.458597 143.496595 \nL 156.2084 145.941543 \nL 157.746313 148.336742 \nL 159.074493 150.67583 \nL 160.196753 152.953476 \nL 161.118064 155.165074 \nL 161.844127 157.306506 \nL 162.381006 159.37389 \nL 162.734811 161.36344 \nL 162.911461 163.2713 \nL 162.916468 165.093395 \nL 162.754796 166.825357 \nL 162.430753 168.462384 \nL 161.947907 169.999154 \nL 161.309072 171.429723 \nL 160.51628 172.747439 \nL 159.570808 173.944829 \nL 158.473226 175.013511 \nL 157.223473 175.944077 \nL 155.820937 176.726027 \nL 154.264594 177.347643 \nL 152.55315 177.795937 \nL 150.685229 178.056595 \nL 148.659593 178.113918 \nL 146.475398 177.95088 \nL 144.132503 177.54918 \nL 141.631837 176.889414 \nL 138.97581 175.951335 \nL 136.168791 174.714268 \nL 133.21765 173.157702 \nL 130.132358 171.262055 \nL 126.926652 169.009714 \nL 123.618718 166.386334 \nL 120.2319 163.382414 \nL 116.795389 159.995157 \nL 113.344842 156.230557 \nL 109.922834 152.105648 \nL 106.57909 147.650741 \nL 103.370396 142.911457 \nL 100.360054 137.95026 \nL 97.61681 132.847178 \nL 95.213113 127.699301 \nL 93.222745 122.618786 \nL 91.717738 117.72907 \nL 90.76475 113.159364 \nL 90.421081 109.037526 \nL 90.730671 105.481952 \nL 91.720382 102.593333 \nL 93.3971 100.447185 \nL 95.745985 99.088335 \nL 98.730209 98.528092 \nL 102.292256 98.744588 \nL 106.356819 99.686275 \nL 110.834909 101.277929 \nL 115.62878 103.428171 \nL 120.637161 106.037572 \nL 125.760258 109.006054 \nL 130.904096 112.239034 \nL 135.983928 115.651801 \nL 140.926541 119.172014 \nL 145.671504 122.740621 \nL 150.171461 126.311453 \nL 154.391658 129.850021 \nL 158.308923 133.331787 \nL 161.910285 136.740307 \nL 165.191415 140.065423 \nL 168.155037 143.301643 \nL 170.8094 146.446792 \nL 173.166878 149.500947 \nL 175.242732 152.465591 \nL 177.054056 155.343029 \nL 178.618902 158.135928 \nL 179.955569 160.847078 \nL 181.082051 163.479191 \nL 182.015607 166.034775 \nL 182.772464 168.516115 \nL 183.367592 170.925225 \nL 183.814569 173.263835 \nL 184.125504 175.533413 \nL 184.380171 179.87005 \nL 184.198644 183.941688 \nL 183.625221 187.75062 \nL 182.683187 191.294369 \nL 181.376631 194.564632 \nL 180.583079 196.09261 \nL 179.692016 197.545558 \nL 178.699186 198.919914 \nL 177.599355 200.211271 \nL 176.386331 201.414248 \nL 175.052971 202.52232 \nL 173.591195 203.527641 \nL 171.992007 204.42082 \nL 170.24551 205.190673 \nL 168.340951 205.823948 \nL 166.266767 206.304992 \nL 164.010671 206.615417 \nL 161.559767 206.733703 \nL 158.90072 206.634803 \nL 156.020005 206.289704 \nL 152.904208 205.665051 \nL 149.540478 204.722772 \nL 145.917082 203.419828 \nL 142.024157 201.708135 \nL 137.854657 199.534759 \nL 133.405535 196.842508 \nL 128.679213 193.571137 \nL 123.685359 189.659308 \nL 118.442993 185.047615 \nL 112.982885 179.682868 \nL 107.350184 173.523897 \nL 101.607232 166.548971 \nL 95.836185 158.764819 \nL 90.141303 150.216833 \nL 84.650242 140.999536 \nL 79.513912 131.265989 \nL 74.90415 121.233915 \nL 71.00854 111.185943 \nL 68.021857 101.461367 \nL 66.134054 92.437352 \nL 65.515303 84.499212 \nL 66.299299 78.00226 \nL 68.567141 73.230318 \nL 72.334281 70.358996 \nL 77.543426 69.431859 \nL 84.065263 70.355909 \nL 91.707617 72.918111 \nL 100.231837 76.819138 \nL 109.373712 81.716232 \nL 118.865354 87.265748 \nL 128.454774 93.157272 \nL 147.081446 105.006997 \nL 171.554972 120.92819 \nL 184.83789 129.795181 \nL 195.70759 137.367808 \nL 204.454259 143.868061 \nL 211.464314 149.50348 \nL 217.138244 154.429512 \nL 229.614129 165.733306 \nL 233.166561 168.409684 \nL 234.945599 169.532123 \nL 236.752442 170.502578 \nL 238.603807 171.313296 \nL 240.514399 171.955254 \nL 242.497011 172.418183 \nL 244.562555 172.690611 \nL 246.720096 172.759942 \nL 248.976771 172.612538 \nL 251.337704 172.233891 \nL 253.805831 171.608872 \nL 256.38168 170.722051 \nL 259.063083 169.558127 \nL 261.844842 168.102535 \nL 264.718333 166.342189 \nL 267.67109 164.266395 \nL 270.686359 161.867981 \nL 273.742663 159.144575 \nL 276.81341 156.100058 \nL 279.866588 152.746122 \nL 282.86461 149.103852 \nL 285.764357 145.205188 \nL 288.517523 141.094113 \nL 291.07128 136.827395 \nL 293.369392 132.474595 \nL 295.353754 128.117172 \nL 296.966383 123.846497 \nL 298.15187 119.760727 \nL 298.860124 115.960477 \nL 299.04925 112.54365 \nL 298.688404 109.599799 \nL 297.760286 107.204489 \nL 296.263041 105.414369 \nL 294.211279 104.26364 \nL 291.636131 103.762246 \nL 288.58414 103.896217 \nL 285.115205 104.62992 \nL 281.299598 105.909946 \nL 277.21451 107.670181 \nL 272.94031 109.837139 \nL 268.556932 112.335154 \nL 264.140648 115.090807 \nL 259.761465 118.036262 \nL 255.481228 121.111526 \nL 251.352445 124.265536 \nL 247.417815 127.456374 \nL 243.710328 130.650786 \nL 240.253817 133.823262 \nL 237.063829 136.954884 \nL 234.148674 140.032152 \nL 231.510586 143.045795 \nL 229.146852 145.989782 \nL 227.050926 148.860447 \nL 225.213415 151.655769 \nL 223.622971 154.374834 \nL 222.267046 157.017412 \nL 221.132533 159.583657 \nL 220.206286 162.073876 \nL 219.47553 164.48835 \nL 218.928183 166.827259 \nL 218.553096 169.090576 \nL 218.340225 171.278004 \nL 218.280742 173.388936 \nL 218.367113 175.42241 \nL 218.593132 177.377051 \nL 218.95393 179.251035 \nL 219.445966 181.042016 \nL 220.066996 182.747069 \nL 220.816046 184.362604 \nL 221.69336 185.88427 \nL 222.700357 187.306864 \nL 223.839572 188.624179 \nL 225.1146 189.828887 \nL 226.530027 190.912367 \nL 228.091354 191.864531 \nL 229.804911 192.673625 \nL 231.677751 193.326022 \nL 233.717514 193.805987 \nL 235.932276 194.095452 \nL 238.330341 194.173772 \nL 240.919989 194.017532 \nL 243.709148 193.600352 \nL 246.705003 192.892782 \nL 249.913489 191.862301 \nL 253.338673 190.473476 \nL 256.982009 188.688342 \nL 260.841417 186.467114 \nL 264.910225 183.769269 \nL 269.175905 180.555215 \nL 273.618668 176.788569 \nL 278.209928 172.439164 \nL 282.910641 167.486948 \nL 287.669721 161.926651 \nL 292.422587 155.773207 \nL 297.090087 149.067554 \nL 301.578069 141.882349 \nL 305.777913 134.326736 \nL 309.568359 126.549178 \nL 312.818954 118.737035 \nL 315.395328 111.111742 \nL 317.166345 103.918682 \nL 318.012768 97.411563 \nL 317.836942 91.832452 \nL 316.572311 87.389383 \nL 314.191591 84.235176 \nL 310.712259 82.451146 \nL 306.198113 82.039015 \nL 300.756462 82.922927 \nL 294.531006 84.961305 \nL 287.691319 87.966001 \nL 280.420499 91.725005 \nL 272.902592 96.024415 \nL 265.311471 100.666393 \nL 257.80216 105.481252 \nL 250.505221 110.333399 \nL 243.524109 115.121921 \nL 236.935057 119.777614 \nL 230.788886 124.257749 \nL 225.114002 128.540237 \nL 219.919995 132.617948 \nL 215.201372 136.49384 \nL 210.941097 140.17704 \nL 207.113754 143.679949 \nL 203.688238 147.016187 \nL 200.629969 150.199263 \nL 197.90264 153.241768 \nL 195.469557 156.154932 \nL 191.343068 161.630615 \nL 187.979971 166.686311 \nL 183.853065 173.562831 \nL 180.248972 179.640897 \nL 177.876081 183.249751 \nL 175.377026 186.486261 \nL 174.044831 187.955884 \nL 172.639963 189.319647 \nL 171.149801 190.571042 \nL 169.562009 191.70224 \nL 167.864438 192.703923 \nL 166.045063 193.565103 \nL 164.091937 194.272899 \nL 161.993191 194.812319 \nL 159.737084 195.16601 \nL 157.312084 195.314024 \nL 154.707025 195.233575 \nL 151.911337 194.898835 \nL 148.915361 194.280771 \nL 145.71077 193.347088 \nL 142.291107 192.062311 \nL 138.652463 190.388056 \nL 134.794342 188.283614 \nL 130.720654 185.706921 \nL 126.440953 182.616015 \nL 121.971804 178.971152 \nL 117.338359 174.737654 \nL 112.576039 169.889644 \nL 107.732252 164.414678 \nL 102.867987 158.319179 \nL 98.059153 151.634506 \nL 93.39733 144.423152 \nL 88.989634 136.784324 \nL 84.957372 128.85786 \nL 81.433067 120.825229 \nL 78.5556 112.906211 \nL 76.463354 105.350147 \nL 75.285537 98.421294 \nL 75.132228 92.378827 \nL 76.08409 87.453571 \nL 78.183108 83.824512 \nL 81.425735 81.599438 \nL 85.759871 80.803389 \nL 91.086407 81.377688 \nL 97.265557 83.189846 \nL 104.127079 86.052298 \nL 111.483027 89.746125 \nL 119.141157 94.045176 \nL 126.917244 98.73652 \nL 134.644941 103.634961 \nL 142.182496 108.590734 \nL 156.26115 118.258404 \nL 168.577321 127.220586 \nL 174.001619 131.380864 \nL 178.935514 135.326744 \nL 183.394898 139.067735 \nL 187.40494 142.617118 \nL 190.99716 145.989629 \nL 194.207034 149.199955 \nL 197.072082 152.261803 \nL 199.630411 155.187394 \nL 203.97606 160.670335 \nL 207.526748 165.713442 \nL 211.900736 172.538167 \nL 215.739736 178.523465 \nL 218.275507 182.043414 \nL 220.949561 185.164034 \nL 222.375289 186.563652 \nL 223.878336 187.848096 \nL 225.471682 189.00976 \nL 227.167916 190.039567 \nL 228.97932 190.92684 \nL 230.917915 191.659088 \nL 232.995477 192.221809 \nL 235.223501 192.598272 \nL 237.61312 192.769318 \nL 240.174956 192.713152 \nL 242.918908 192.405171 \nL 245.853845 191.81787 \nL 248.987213 190.920819 \nL 252.324518 189.680784 \nL 255.868675 188.062051 \nL 259.619212 186.027042 \nL 263.571322 183.537276 \nL 267.714746 180.554789 \nL 272.032479 177.04417 \nL 276.499368 172.975236 \nL 281.080599 168.326494 \nL 285.730171 163.089337 \nL 290.389512 157.272979 \nL 294.986388 150.909819 \nL 299.434322 144.060864 \nL 303.632856 136.820486 \nL 307.468928 129.319655 \nL 310.819698 121.72649 \nL 313.557011 114.24304 \nL 315.55364 107.097349 \nL 316.691058 100.530427 \nL 316.868309 94.778742 \nL 316.011121 90.053812 \nL 314.080138 86.521709 \nL 311.07702 84.285991 \nL 307.047279 83.377123 \nL 302.079107 83.750874 \nL 296.298092 85.296062 \nL 289.858418 87.850094 \nL 282.931741 91.219159 \nL 275.695291 95.199334 \nL 268.32074 99.595034 \nL 260.965022 104.232731 \nL 253.763803 108.968834 \nL 246.827837 113.692383 \nL 240.241845 118.323641 \nL 234.065481 122.810063 \nL 228.335684 127.12108 \nL 223.069866 131.242705 \nL 218.269391 135.172636 \nL 213.923029 138.916178 \nL 210.010124 142.483078 \nL 206.503367 145.885244 \nL 203.371115 149.13517 \nL 200.579263 152.244933 \nL 198.092721 155.22562 \nL 195.876516 158.087049 \nL 192.120405 163.484607 \nL 189.058265 168.489795 \nL 185.291412 175.332754 \nL 181.984363 181.424288 \nL 179.795672 185.070404 \nL 177.481269 188.37083 \nL 176.243999 189.884022 \nL 174.936842 191.300177 \nL 173.547809 192.613748 \nL 172.065075 193.817991 \nL 170.476875 194.904823 \nL 168.771418 195.864599 \nL 166.936835 196.68594 \nL 164.961146 197.355468 \nL 162.832274 197.857565 \nL 160.538092 198.174088 \nL 158.066533 198.284097 \nL 155.405747 198.163563 \nL 152.544343 197.785125 \nL 149.471723 197.117862 \nL 146.178526 196.127194 \nL 142.657201 194.77489 \nL 138.902737 193.019316 \nL 134.913576 190.815982 \nL 130.692704 188.118512 \nL 126.248999 184.880168 \nL 121.598753 181.05608 \nL 116.767401 176.606359 \nL 111.791429 171.500172 \nL 106.720347 165.720888 \nL 101.618533 159.272252 \nL 96.566842 152.185308 \nL 91.663578 144.525584 \nL 87.024495 136.399656 \nL 82.781409 127.959943 \nL 79.078994 119.406072 \nL 76.069357 110.98125 \nL 73.904311 102.962274 \nL 72.725497 95.642459 \nL 72.653011 89.308322 \nL 73.77365 84.212353 \nL 76.130374 80.545852 \nL 79.714731 78.417001 \nL 84.463789 77.838625 \nL 90.26254 78.728798 \nL 96.951753 80.92426 \nL 104.340278 84.203841 \nL 112.219912 88.316827 \nL 120.380666 93.010678 \nL 128.624379 98.053513 \nL 136.775168 103.249048 \nL 152.242234 113.525047 \nL 165.986469 123.088333 \nL 177.670829 131.681216 \nL 182.731243 135.613151 \nL 187.295532 139.31966 \nL 191.394448 142.818194 \nL 195.064539 146.126687 \nL 198.34571 149.262182 \nL 201.279313 152.240038 \nL 206.268342 157.773878 \nL 210.34673 162.809352 \nL 215.363789 169.531918 \nL 219.747689 175.311253 \nL 222.62708 178.62993 \nL 224.11103 180.119323 \nL 225.64662 181.488484 \nL 227.249055 182.730677 \nL 228.932603 183.837815 \nL 230.710715 184.80033 \nL 232.596108 185.607065 \nL 234.60082 186.2451 \nL 236.736207 186.699627 \nL 239.012898 186.953804 \nL 241.440694 186.988619 \nL 244.028392 186.782826 \nL 246.783549 186.312895 \nL 249.712139 185.553103 \nL 252.818132 184.475688 \nL 256.102963 183.051234 \nL 259.564872 181.24925 \nL 263.198141 179.03905 \nL 266.992181 176.391022 \nL 270.93055 173.278317 \nL 274.989841 169.679024 \nL 279.13856 165.578925 \nL 283.33599 160.974738 \nL 287.53123 155.877847 \nL 291.662449 150.318258 \nL 295.656594 144.348482 \nL 299.429741 138.046943 \nL 302.888279 131.520106 \nL 305.931168 124.902795 \nL 308.453382 118.35577 \nL 310.350586 112.060064 \nL 311.524979 106.207859 \nL 311.891885 100.990131 \nL 311.386587 96.582133 \nL 309.970632 93.128513 \nL 307.636801 90.730132 \nL 304.411865 89.43489 \nL 300.356603 89.234224 \nL 295.562878 90.066076 \nL 290.147965 91.823684 \nL 284.246886 94.368624 \nL 278.003639 97.545705 \nL 271.562486 101.197382 \nL 265.060178 105.175681 \nL 258.619837 109.350517 \nL 252.346806 113.614293 \nL 246.3265 117.883135 \nL 240.623998 122.095533 \nL 235.284978 126.209516 \nL 230.337614 130.199013 \nL 225.795 134.050189 \nL 221.657778 137.758063 \nL 217.916739 141.323667 \nL 214.555224 144.751803 \nL 211.551251 148.049388 \nL 208.879324 151.22426 \nL 206.511911 154.284394 \nL 204.420619 157.237431 \nL 202.577107 160.090407 \nL 200.953758 162.849626 \nL 198.263401 168.108343 \nL 196.15745 173.049949 \nL 194.471835 177.701693 \nL 192.440006 184.179174 \nL 189.54549 193.750034 \nL 188.337496 197.172183 \nL 187.007569 200.365741 \nL 185.498579 203.326881 \nL 183.752498 206.045536 \nL 181.707334 208.50326 \nL 180.551454 209.625469 \nL 179.294368 210.670095 \nL 177.926019 211.630874 \nL 176.435643 212.500189 \nL 174.811696 213.268826 \nL 173.041816 213.925688 \nL 171.1128 214.457479 \nL 169.010579 214.84833 \nL 166.720255 215.079377 \nL 164.226149 215.128281 \nL 161.511924 214.968711 \nL 158.560756 214.569783 \nL 155.355614 213.895471 \nL 151.879661 212.904039 \nL 148.116788 211.547538 \nL 144.052355 209.771419 \nL 139.674165 207.514425 \nL 134.973742 204.708865 \nL 129.947936 201.281505 \nL 124.600935 197.155338 \nL 118.946736 192.252577 \nL 113.012053 186.499208 \nL 106.839645 179.831542 \nL 100.492017 172.205064 \nL 94.055147 163.605682 \nL 87.641974 154.063164 \nL 81.395057 143.665902 \nL 75.487565 132.575227 \nL 70.121702 121.03654 \nL 65.523486 109.383473 \nL 61.932969 98.030775 \nL 59.589469 87.452343 \nL 58.712139 78.142628 \nL 59.477518 70.564098 \nL 61.996897 65.087964 \nL 66.297645 61.940188 \nL 72.312376 61.166161 \nL 79.87947 62.624338 \nL 88.755718 66.011996 \nL 98.639366 70.916459 \nL 109.199342 76.878686 \nL 120.105177 83.453558 \nL 170.886344 114.983241 \nL 193.722432 128.693023 \nL 210.433271 138.750982 \nL 222.377124 146.226321 \nL 235.756216 154.768986 \nL 239.876081 157.072798 \nL 241.807938 157.998477 \nL 243.688221 158.771787 \nL 245.538011 159.389958 \nL 247.375216 159.849237 \nL 249.214763 160.145068 \nL 251.068736 160.27231 \nL 252.946506 160.225453 \nL 254.854811 159.998858 \nL 256.797816 159.587009 \nL 258.777129 158.984795 \nL 260.791785 158.187877 \nL 262.838237 157.193029 \nL 264.910286 155.99859 \nL 266.999045 154.604951 \nL 269.092915 153.015037 \nL 271.177537 151.234853 \nL 273.235833 149.27402 \nL 275.248076 147.14626 \nL 277.192069 144.869851 \nL 279.043364 142.467931 \nL 280.775683 139.968663 \nL 282.361381 137.405156 \nL 283.772112 134.815158 \nL 284.979587 132.240393 \nL 285.956487 129.725611 \nL 286.677444 127.317337 \nL 287.120101 125.062284 \nL 287.266161 123.005646 \nL 287.102364 121.189241 \nL 286.621346 119.649724 \nL 285.822271 118.41699 \nL 284.711225 117.512915 \nL 283.301268 116.950557 \nL 281.612184 116.733822 \nL 279.669892 116.857763 \nL 277.505559 117.309263 \nL 275.15452 118.068279 \nL 272.654992 119.109234 \nL 270.046784 120.402625 \nL 267.369974 121.916615 \nL 264.66369 123.618546 \nL 261.965106 125.476189 \nL 259.308549 127.458762 \nL 256.724916 129.537652 \nL 254.241248 131.686879 \nL 251.880559 133.883322 \nL 249.661821 136.106716 \nL 247.600111 138.339542 \nL 245.706895 140.566783 \nL 243.990352 142.775643 \nL 242.455795 144.955225 \nL 241.106089 147.096213 \nL 239.942074 149.190548 \nL 238.962979 151.23116 \nL 238.166812 153.211721 \nL 237.550697 155.126413 \nL 237.111181 156.969719 \nL 236.844512 158.736282 \nL 236.746838 160.420721 \nL 236.814398 162.017534 \nL 237.043652 163.520965 \nL 237.431386 164.924891 \nL 237.974774 166.222734 \nL 238.671405 167.407382 \nL 239.519291 168.471092 \nL 240.516839 169.405418 \nL 241.662781 170.201151 \nL 242.956105 170.848252 \nL 244.395927 171.335838 \nL 245.981353 171.652139 \nL 247.711304 171.784523 \nL 249.584301 171.719568 \nL 251.598222 171.443131 \nL 253.750016 170.94056 \nL 256.035395 170.19693 \nL 258.448447 169.197391 \nL 260.981257 167.927659 \nL 263.623459 166.374624 \nL 266.361792 164.527131 \nL 269.179613 162.376906 \nL 272.056437 159.919642 \nL 274.967516 157.156296 \nL 277.883467 154.094397 \nL 280.770051 150.749502 \nL 283.588072 147.146576 \nL 286.293552 143.321157 \nL 288.838184 139.320257 \nL 291.170099 135.202675 \nL 293.235107 131.03861 \nL 294.978259 126.908396 \nL 296.345893 122.900204 \nL 297.287948 119.106692 \nL 297.760569 115.62079 \nL 297.728697 112.530788 \nL 297.168542 109.915212 \nL 296.069646 107.83796 \nL 294.436278 106.344354 \nL 292.288018 105.458497 \nL 289.6594 105.182316 \nL 286.598591 105.496468 \nL 283.165167 106.36293 \nL 279.427279 107.728808 \nL 275.458348 109.530971 \nL 271.333726 111.700863 \nL 267.127477 114.168924 \nL 262.909605 116.868373 \nL 258.743859 119.737929 \nL 254.686157 122.72358 \nL 250.783686 125.779415 \nL 247.074602 128.867702 \nL 243.588199 131.958361 \nL 240.345484 135.028157 \nL 237.36 138.059668 \nL 234.63881 141.040219 \nL 232.183535 143.960889 \nL 229.991406 146.815622 \nL 228.056246 149.60047 \nL 226.369379 152.312951 \nL 224.920415 154.951606 \nL 223.697949 157.515582 \nL 222.690127 160.004376 \nL 221.885121 162.417614 \nL 221.271497 164.754902 \nL 220.838513 167.015712 \nL 220.576332 169.199302 \nL 220.476175 171.304639 \nL 220.530441 173.330334 \nL 220.732755 175.274588 \nL 221.078015 177.13513 \nL 221.562389 178.909156 \nL 222.18331 180.593237 \nL 222.939443 182.183261 \nL 223.830652 183.674317 \nL 224.857944 185.060579 \nL 226.023419 186.33519 \nL 227.330193 187.490124 \nL 228.782329 188.516025 \nL 230.384745 189.402035 \nL 232.143101 190.135597 \nL 234.06368 190.702275 \nL 236.153225 191.085545 \nL 238.418745 191.266595 \nL 240.867277 191.224147 \nL 243.505595 190.934311 \nL 246.339839 190.370495 \nL 249.375063 189.503401 \nL 252.614686 188.301183 \nL 256.059828 186.72976 \nL 259.708496 184.753447 \nL 263.554666 182.33586 \nL 267.58718 179.441331 \nL 271.788518 176.036828 \nL 276.133458 172.094487 \nL 280.587636 167.594872 \nL 285.106172 162.530894 \nL 289.632332 156.912405 \nL 294.096562 150.771123 \nL 298.415981 144.165624 \nL 302.494664 137.185666 \nL 306.224967 129.955114 \nL 309.490157 122.632415 \nL 312.168599 115.40762 \nL 314.139515 108.495125 \nL 315.290195 102.121841 \nL 315.524173 96.511241 \nL 314.769689 91.864708 \nL 312.987348 88.34272 \nL 310.175909 86.048835 \nL 306.375158 85.019472 \nL 301.665089 85.221588 \nL 296.161402 86.55886 \nL 290.00762 88.885172 \nL 283.364997 92.022645 \nL 276.401537 95.78095 \nL 269.281482 99.974738 \nL 262.156508 104.436929 \nL 255.159249 109.026933 \nL 248.399434 113.633961 \nL 241.962442 118.176425 \nL 235.90982 122.598769 \nL 230.281252 126.866894 \nL 225.097352 130.96324 \nL 220.36287 134.882203 \nL 216.06993 138.626222 \nL 212.201048 142.202675 \nL 208.73182 145.621592 \nL 205.633206 148.894017 \nL 202.873389 152.03097 \nL 200.419266 155.042796 \nL 198.237577 157.938817 \nL 196.295745 160.727205 \nL 193.008101 166.008012 \nL 190.327107 170.928619 \nL 187.018297 177.694461 \nL 184.092824 183.764825 \nL 182.143413 187.430661 \nL 180.071398 190.782792 \nL 177.782791 193.802443 \nL 176.529352 195.178364 \nL 175.188487 196.45822 \nL 173.749135 197.635499 \nL 172.200063 198.702356 \nL 170.529796 199.649403 \nL 168.726569 200.465499 \nL 166.778297 201.137483 \nL 164.672579 201.649887 \nL 162.396743 201.984636 \nL 159.937932 202.12071 \nL 157.283265 202.033809 \nL 154.420048 201.696016 \nL 151.336097 201.075499 \nL 148.020145 200.136268 \nL 144.462416 198.838071 \nL 140.655344 197.136464 \nL 136.594481 194.983186 \nL 132.279621 192.326927 \nL 127.716188 189.114682 \nL 122.916862 185.2938 \nL 117.903471 180.815038 \nL 112.709113 175.636663 \nL 107.380424 169.729856 \nL 101.979885 163.085389 \nL 96.587896 155.721488 \nL 91.30438 147.692354 \nL 86.249447 139.096537 \nL 81.562647 130.083899 \nL 77.400223 120.859293 \nL 73.929962 111.680957 \nL 71.323233 102.851655 \nL 69.744269 94.701215 \nL 69.337269 87.560864 \nL 70.212508 81.731379 \nL 72.433238 77.449744 \nL 76.00552 74.86042 \nL 80.873042 73.997403 \nL 86.918428 74.781613 \nL 93.971191 77.034679 \nL 101.821496 80.505886 \nL 110.237458 84.906447 \nL 118.983266 89.943619 \nL 127.835525 95.348742 \nL 145.099382 106.409395 \nL 160.857949 116.884663 \nL 174.501272 126.267905 \nL 185.875642 134.490618 \nL 190.749329 138.20372 \nL 195.124553 141.680471 \nL 199.04258 144.943156 \nL 205.686558 150.906313 \nL 211.043983 156.227189 \nL 215.458664 160.996844 \nL 224.264086 170.782426 \nL 227.495724 173.851046 \nL 229.14011 175.191892 \nL 230.827915 176.395747 \nL 232.575418 177.454936 \nL 234.397477 178.360367 \nL 236.307637 179.101482 \nL 238.318178 179.666177 \nL 240.440154 180.040764 \nL 242.683352 180.209891 \nL 245.056203 180.15656 \nL 247.565626 179.862152 \nL 250.216804 179.306549 \nL 253.012886 178.468326 \nL 255.9546 177.325136 \nL 259.039784 175.854191 \nL 262.262851 174.033001 \nL 265.614119 171.840362 \nL 269.079147 169.257639 \nL 272.637952 166.270367 \nL 276.264257 162.87018 \nL 279.924762 159.057094 \nL 283.578511 154.842027 \nL 287.176452 150.24943 \nL 290.661338 145.319858 \nL 293.968031 140.11217 \nL 297.024366 134.704931 \nL 299.752715 129.196694 \nL 302.072342 123.704628 \nL 303.902529 118.361168 \nL 305.166471 113.3085 \nL 305.795718 108.691016 \nL 305.734839 104.64621 \nL 304.945947 101.294918 \nL 303.41247 98.732017 \nL 301.141794 97.018946 \nL 298.166228 96.179247 \nL 294.542115 96.197738 \nL 290.347098 97.023654 \nL 285.675751 98.576996 \nL 280.634058 100.757175 \nL 275.333434 103.45258 \nL 269.884795 106.54961 \nL 264.393366 109.940287 \nL 258.95453 113.527742 \nL 253.650937 117.229433 \nL 248.550904 120.978382 \nL 243.707965 124.722768 \nL 239.16133 128.424475 \nL 234.937049 132.057014 \nL 231.049572 135.603266 \nL 227.503535 139.053322 \nL 224.295592 142.40254 \nL 221.416167 145.64995 \nL 218.851045 148.796976 \nL 216.582776 151.846508 \nL 214.591869 154.802197 \nL 212.857767 157.667992 \nL 211.359637 160.447851 \nL 210.076977 163.145534 \nL 208.990074 165.76453 \nL 208.080333 168.308003 \nL 207.330503 170.778793 \nL 206.249043 175.512176 \nL 205.638204 179.98171 \nL 205.415108 184.200718 \nL 205.519849 188.179459 \nL 205.913131 191.925444 \nL 206.573818 195.443317 \nL 207.496801 198.734433 \nL 208.691383 201.796012 \nL 210.180256 204.619828 \nL 211.999058 207.190265 \nL 213.046873 208.372909 \nL 214.196465 209.481562 \nL 215.45604 210.51078 \nL 216.834693 211.453922 \nL 218.342439 212.302926 \nL 219.990233 213.04807 \nL 221.789979 213.677682 \nL 223.754541 214.177797 \nL 225.897713 214.531782 \nL 228.234181 214.719895 \nL 230.779428 214.718803 \nL 233.549598 214.501061 \nL 236.561274 214.034538 \nL 239.831172 213.28185 \nL 243.375693 212.199803 \nL 247.210339 210.738931 \nL 251.348898 208.843194 \nL 255.802398 206.449953 \nL 260.577755 203.490413 \nL 265.676056 199.89074 \nL 271.090439 195.574128 \nL 276.803541 190.46418 \nL 282.784478 184.489948 \nL 288.985417 177.593027 \nL 295.337941 169.736977 \nL 301.749336 160.919095 \nL 308.099362 151.184149 \nL 314.238013 140.638996 \nL 319.98517 129.466121 \nL 325.133092 117.933029 \nL 329.452771 106.393634 \nL 332.704936 95.277424 \nL 334.65607 85.063225 \nL 335.098542 76.237027 \nL 333.873161 69.237436 \nL 330.890853 64.397519 \nL 326.149334 61.89536 \nL 319.740988 61.726233 \nL 311.849133 63.704875 \nL 302.732511 67.498353 \nL 292.700496 72.681163 \nL 282.083564 78.798257 \nL 271.204467 85.421419 \nL 221.311981 116.426101 \nL 178.684123 142.315469 \nL 168.312546 149.019306 \nL 158.369595 155.442347 \nL 154.306744 157.723763 \nL 152.390544 158.638234 \nL 150.518409 159.399639 \nL 148.669956 160.004752 \nL 146.827889 160.449369 \nL 144.977838 160.72851 \nL 143.108209 160.836613 \nL 141.210078 160.767768 \nL 139.277125 160.515937 \nL 137.305585 160.0752 \nL 135.294246 159.440074 \nL 133.244473 158.605876 \nL 131.160246 157.569075 \nL 129.048234 156.327795 \nL 126.917842 154.882258 \nL 124.781274 153.235363 \nL 122.653556 151.393234 \nL 120.552531 149.365782 \nL 118.498777 147.167224 \nL 116.515442 144.816571 \nL 114.627991 142.337943 \nL 112.863808 139.760738 \nL 111.251662 137.119559 \nL 109.821042 134.453859 \nL 108.601346 131.807238 \nL 107.620906 129.226434 \nL 106.905949 126.759943 \nL 106.479504 124.456344 \nL 106.360267 122.36246 \nL 106.561598 120.521406 \nL 107.090616 118.970674 \nL 107.947559 117.740499 \nL 109.125392 116.85256 \nL 110.609789 116.319149 \nL 112.379442 116.142943 \nL 114.406724 116.317392 \nL 116.658622 116.827502 \nL 119.097968 117.651184 \nL 121.684754 118.760847 \nL 124.377546 120.125071 \nL 127.134841 121.710328 \nL 129.916324 123.482503 \nL 132.683931 125.408223 \nL 135.4027 127.455863 \nL 138.041389 129.596245 \nL 140.572847 131.803093 \nL 142.974169 134.053165 \nL 145.22666 136.326265 \nL 147.315649 138.605054 \nL 149.230191 140.874776 \nL 150.962667 143.122947 \nL 152.508364 145.338997 \nL 153.865026 147.513947 \nL 155.032398 149.640078 \nL 156.011795 151.710626 \nL 156.805725 153.719554 \nL 157.417511 155.6613 \nL 157.850997 157.530593 \nL 158.110273 159.322273 \nL 158.199458 161.031156 \nL 158.122528 162.651893 \nL 157.883164 164.178864 \nL 157.484677 165.606055 \nL 156.929931 166.926978 \nL 156.221313 168.134569 \nL 155.360751 169.221118 \nL 154.349722 170.178175 \nL 153.189331 170.996475 \nL 151.880385 171.665904 \nL 150.423512 172.175418 \nL 148.819319 172.513049 \nL 147.068551 172.665895 \nL 145.172317 172.620163 \nL 143.132331 172.36127 \nL 140.951208 171.874 \nL 138.632788 171.142745 \nL 136.182505 170.151855 \nL 133.607813 168.886114 \nL 130.918614 167.331348 \nL 128.127777 165.475197 \nL 125.251589 163.308102 \nL 122.310286 160.824391 \nL 119.328521 158.023628 \nL 116.335762 154.91204 \nL 113.36657 151.504007 \nL 110.460732 147.823604 \nL 107.663168 143.905895 \nL 105.023494 139.797975 \nL 102.595272 135.559428 \nL 100.4348 131.262091 \nL 98.599487 126.988814 \nL 97.145783 122.831189 \nL 96.126706 118.886136 \nL 95.589145 115.251457 \nL 95.571048 112.02061 \nL 96.098764 109.277255 \nL 97.184788 107.089963 \nL 98.826171 105.507777 \nL 101.00382 104.557339 \nL 103.682767 104.241669 \nL 106.813535 104.541083 \nL 110.334423 105.415836 \nL 114.174524 106.810217 \nL 118.257222 108.6576 \nL 122.503764 110.885539 \nL 126.836713 113.42062 \nL 131.182894 116.192496 \nL 135.475757 119.136824 \nL 139.657045 122.197154 \nL 143.677738 125.325749 \nL 147.498371 128.483623 \nL 151.088819 131.639996 \nL 154.427679 134.771311 \nL 157.501387 137.860144 \nL 160.303153 140.894043 \nL 162.831861 143.86447 \nL 165.090945 146.765814 \nL 167.087358 149.594619 \nL 168.830627 152.348934 \nL 170.33201 155.027777 \nL 171.603786 157.63079 \nL 172.658661 160.157938 \nL 173.509289 162.609291 \nL 174.167874 164.984891 \nL 174.645889 167.284644 \nL 174.953849 169.508234 \nL 175.101157 171.655064 \nL 175.095997 173.724197 \nL 174.945274 175.714326 \nL 174.654579 177.623697 \nL 174.228192 179.450056 \nL 173.669085 181.190597 \nL 172.978957 182.841885 \nL 172.158271 184.399738 \nL 171.206298 185.859169 \nL 170.121174 187.214233 \nL 168.899957 188.457918 \nL 167.53869 189.581969 \nL 166.032481 190.576739 \nL 164.375589 191.431001 \nL 162.561529 192.13174 \nL 160.5832 192.663945 \nL 158.433033 193.010378 \nL 156.103198 193.151368 \nL 153.585834 193.064591 \nL 150.873359 192.724913 \nL 147.958848 192.104269 \nL 144.836501 191.171648 \nL 141.502222 189.893225 \nL 137.954331 188.232705 \nL 134.194404 186.15193 \nL 130.228289 183.611895 \nL 126.067266 180.574209 \nL 121.729375 177.003189 \nL 117.240896 172.868591 \nL 112.637875 168.149187 \nL 107.967678 162.837071 \nL 103.290424 156.942682 \nL 98.680057 150.500272 \nL 94.224905 143.573406 \nL 90.027382 136.259723 \nL 86.202505 128.694089 \nL 82.874919 121.048941 \nL 80.174273 113.530728 \nL 78.228794 106.371476 \nL 77.157289 99.815214 \nL 77.060086 94.099846 \nL 78.009833 89.436357 \nL 80.043275 85.988093 \nL 83.155257 83.853783 \nL 87.296168 83.057513 \nL 92.373479 83.547921 \nL 98.257443 85.206833 \nL 104.790275 87.865668 \nL 111.797597 91.326213 \nL 119.100473 95.382005 \nL 126.526594 99.836724 \nL 133.919341 104.517492 \nL 141.144123 109.28244 \nL 148.091796 114.022825 \nL 154.679546 118.661307 \nL 160.849736 123.1476 \nL 166.567394 127.453125 \nL 171.816929 131.565522 \nL 176.598584 135.483734 \nL 180.924955 139.213988 \nL 184.817827 142.766688 \nL 188.305413 146.154167 \nL 191.420062 149.389176 \nL 194.196408 152.48392 \nL 196.669932 155.449545 \nL 198.875881 158.295861 \nL 202.620431 163.662809 \nL 205.683487 168.63627 \nL 209.475485 175.427501 \nL 212.836278 181.458668 \nL 215.076952 185.057074 \nL 217.456746 188.301285 \nL 218.731939 189.782303 \nL 220.080632 191.163008 \nL 221.514912 192.437354 \nL 223.046705 193.598037 \nL 224.687874 194.636317 \nL 226.450285 195.541842 \nL 228.345863 196.302406 \nL 230.386595 196.903737 \nL 232.584516 197.329211 \nL 234.951629 197.559597 \nL 237.49977 197.572783 \nL 240.240432 197.343502 \nL 243.184463 196.843123 \nL 246.341701 196.039479 \nL 249.720482 194.896822 \nL 253.326985 193.375963 \nL 257.164454 191.434639 \nL 261.232205 189.028267 \nL 265.524432 186.111128 \nL 270.028833 182.638207 \nL 274.724995 178.567789 \nL 279.582626 173.864914 \nL 284.55967 168.505889 \nL 289.600406 162.483772 \nL 294.633771 155.814759 \nL 299.57207 148.545076 \nL 304.310456 140.757803 \nL 308.727537 132.578493 \nL 312.687542 124.178414 \nL 316.044488 115.773712 \nL 318.648474 107.61911 \nL 320.35426 99.994951 \nL 321.031645 93.187737 \nL 320.576822 87.465426 \nL 318.923449 83.050621 \nL 316.051743 80.09599 \nL 311.993999 78.666845 \nL 306.835206 78.734683 \nL 300.708332 80.183359 \nL 293.784612 82.826722 \nL 286.26027 86.433896 \nL 278.341677 90.757032 \nL 270.23103 95.556334 \nL 262.114323 100.618837 \nL 254.152672 105.769527 \nL 239.188341 115.842045 \nL 226.020534 125.150899 \nL 220.203321 129.449378 \nL 214.903869 133.508803 \nL 210.107791 137.339842 \nL 205.789928 140.957745 \nL 201.917664 144.37957 \nL 198.453674 147.62234 \nL 195.358102 150.70192 \nL 192.59023 153.632423 \nL 187.877488 159.092591 \nL 184.011147 164.075997 \nL 173.579542 178.215582 \nL 170.701245 181.309182 \nL 169.186719 182.681687 \nL 167.601931 183.929424 \nL 165.932939 185.044315 \nL 164.166519 186.016799 \nL 162.29007 186.835697 \nL 160.29158 187.488051 \nL 158.159606 187.958954 \nL 155.883341 188.231417 \nL 153.452706 188.286206 \nL 150.858515 188.101727 \nL 148.092731 187.653988 \nL 145.148788 186.916618 \nL 142.022027 185.861011 \nL 138.710239 184.456651 \nL 135.214313 182.671657 \nL 131.539035 180.473645 \nL 127.694023 177.830922 \nL 123.694737 174.714183 \nL 119.563663 171.09871 \nL 115.331518 166.967149 \nL 111.038432 162.312888 \nL 106.73508 157.143937 \nL 102.483535 151.487145 \nL 98.35771 145.392464 \nL 94.443161 138.936741 \nL 90.836026 132.226363 \nL 87.640878 125.398039 \nL 84.967286 118.616761 \nL 82.925041 112.070367 \nL 81.618117 105.960232 \nL 81.137735 100.488482 \nL 81.555016 95.842528 \nL 82.914115 92.178945 \nL 85.22667 89.608913 \nL 88.468523 88.1877 \nL 92.579369 87.910342 \nL 97.465601 88.714203 \nL 103.00611 90.488118 \nL 109.060414 93.086295 \nL 115.477962 96.344451 \nL 122.107506 100.095455 \nL 128.805484 104.18236 \nL 135.442624 108.467492 \nL 141.908425 112.837452 \nL 148.113478 117.204341 \nL 153.989903 121.504288 \nL 159.490303 125.694289 \nL 164.585739 129.748229 \nL 169.263121 133.652872 \nL 173.522398 137.404226 \nL 177.373794 141.004475 \nL 180.835257 144.459605 \nL 183.930217 147.777634 \nL 186.6857 150.967388 \nL 189.130781 154.037697 \nL 191.295359 156.9969 \nL 193.209228 159.85258 \nL 194.901385 162.611483 \nL 197.729827 167.861654 \nL 199.982288 172.78517 \nL 201.831346 177.409418 \nL 207.73697 193.218588 \nL 209.312259 196.528971 \nL 211.077781 199.575744 \nL 213.102631 202.34295 \nL 214.234513 203.613868 \nL 215.458482 204.803825 \nL 216.78441 205.907164 \nL 218.22269 206.916988 \nL 219.784302 207.824961 \nL 221.480864 208.621069 \nL 223.32467 209.293338 \nL 225.328705 209.827513 \nL 227.506638 210.206701 \nL 229.872766 210.410976 \nL 232.441923 210.416925 \nL 235.229324 210.197192 \nL 238.250327 209.719981 \nL 241.520107 208.948594 \nL 245.053181 207.841004 \nL 248.862785 206.349534 \nL 252.960052 204.420765 \nL 257.352957 201.995732 \nL 262.044955 199.010631 \nL 267.033308 195.398199 \nL 272.307063 191.090048 \nL 277.844615 186.020236 \nL 283.610934 180.13041 \nL 289.554528 173.376706 \nL 295.604227 165.738688 \nL 301.666162 157.230045 \nL 307.621294 147.910666 \nL 313.324099 137.898831 \nL 318.603133 127.381627 \nL 323.264328 116.620866 \nL 327.097779 105.951209 \nL 329.888578 95.767372 \nL 331.43167 86.498237 \nL 331.549934 78.568388 \nL 330.113492 72.351045 \nL 327.05754 68.120054 \nL 322.395272 66.011246 \nL 316.222873 66.002904 \nL 308.714681 67.921264 \nL 300.108765 71.470203 \nL 290.68512 76.27788 \nL 280.740409 81.948865 \nL 270.563551 88.110411 \nL 250.516982 100.707144 \nL 202.877774 131.002268 \nL 192.103784 138.115677 \nL 183.468836 144.113965 \nL 176.543236 149.222941 \nL 168.450016 155.547601 \nL 162.043038 160.498367 \nL 158.234678 163.075128 \nL 156.386022 164.141925 \nL 154.544541 165.05545 \nL 152.691331 165.809938 \nL 150.810051 166.398488 \nL 148.886817 166.813177 \nL 146.910079 167.045162 \nL 144.870576 167.084838 \nL 142.76133 166.922006 \nL 140.577682 166.546062 \nL 138.317372 165.946314 \nL 135.980672 165.112286 \nL 133.570551 164.034206 \nL 131.092885 162.703492 \nL 128.556689 161.113408 \nL 125.974369 159.259834 \nL 123.36194 157.142087 \nL 120.739251 154.763894 \nL 118.130139 152.134357 \nL 115.5625 149.268988 \nL 113.068197 146.19062 \nL 110.682834 142.930178 \nL 108.445318 139.52721 \nL 106.397127 136.029982 \nL 104.581366 132.495081 \nL 103.041484 128.986398 \nL 101.819765 125.573435 \nL 100.955582 122.328925 \nL 100.483513 119.325866 \nL 100.431429 116.634085 \nL 100.818723 114.316695 \nL 101.654795 112.426651 \nL 102.937968 111.003852 \nL 104.654955 110.073081 \nL 106.780988 109.642989 \nL 109.280608 109.706239 \nL 112.109041 110.240895 \nL 115.21415 111.212655 \nL 118.538656 112.577816 \nL 122.022608 114.286486 \nL 125.605724 116.285869 \nL 129.22963 118.523114 \nL 132.839676 120.947661 \nL 136.38638 123.513019 \nL 139.826424 126.177806 \nL 143.123168 128.906304 \nL 146.246829 131.668474 \nL 149.174269 134.439641 \nL 151.888583 137.199969 \nL 154.378465 139.933806 \nL 156.637507 142.62899 \nL 158.663433 145.276165 \nL 160.457316 147.868193 \nL 162.022868 150.399597 \nL 163.365751 152.866123 \nL 164.492972 155.264358 \nL 165.41236 157.591438 \nL 166.132127 159.844793 \nL 166.660487 162.021978 \nL 167.005353 164.120509 \nL 167.174113 166.137735 \nL 167.17344 168.070713 \nL 167.009166 169.916151 \nL 166.686187 171.670279 \nL 166.208418 173.328765 \nL 165.578763 174.886653 \nL 164.799118 176.33822 \nL 163.870406 177.676908 \nL 162.792614 178.895186 \nL 161.564858 179.984465 \nL 160.185475 180.934954 \nL 158.652124 181.735514 \nL 156.961922 182.373566 \nL 155.111596 182.834951 \nL 153.097675 183.103814 \nL 150.916728 183.162527 \nL 148.565624 182.991651 \nL 146.041874 182.569934 \nL 143.34401 181.874415 \nL 140.472067 180.880659 \nL 137.428109 179.563097 \nL 134.216864 177.895648 \nL 130.84645 175.852485 \nL 127.32917 173.409226 \nL 123.682402 170.544395 \nL 119.929512 167.2413 \nL 116.100827 163.490364 \nL 112.2345 159.291791 \nL 108.377306 154.65858 \nL 104.58512 149.61966 \nL 100.923113 144.222929 \nL 97.465302 138.53777 \nL 94.293515 132.656618 \nL 91.495429 126.694953 \nL 89.161683 120.789297 \nL 87.382062 115.092632 \nL 86.240759 109.767254 \nL 85.811104 104.97515 \nL 86.150038 100.866753 \nL 87.293026 97.569262 \nL 89.24996 95.176033 \nL 92.00265 93.738837 \nL 95.504484 93.264104 \nL 99.682293 93.714035 \nL 104.440438 95.012211 \nL 109.666607 97.052823 \nL 115.238667 99.711862 \nL 121.031741 102.858597 \nL 126.924806 106.365625 \nL 132.806203 110.116698 \nL 138.577659 114.011618 \nL 144.156771 117.968526 \nL 149.478032 121.924009 \nL 154.492611 125.831535 \nL 159.167244 129.659069 \nL 163.482514 133.386329 \nL 167.430807 137.002023 \nL 171.014172 140.501426 \nL 174.242255 143.884317 \nL 177.130393 147.153399 \nL 179.697946 150.313055 \nL 181.966877 153.368515 \nL 183.960579 156.32527 \nL 185.702944 159.188703 \nL 187.217642 161.963871 \nL 188.52758 164.655422 \nL 189.654517 167.267535 \nL 191.439235 172.268015 \nL 192.715466 176.990651 \nL 193.600805 181.455836 \nL 194.188106 185.680413 \nL 194.548344 189.678784 \nL 194.773545 195.279661 \nL 194.718682 200.437776 \nL 194.444094 205.186306 \nL 193.969523 209.554244 \nL 193.283617 213.566095 \nL 192.691239 216.052467 \nL 191.970909 218.392988 \nL 191.099427 220.58955 \nL 190.047391 222.641399 \nL 188.778216 224.544159 \nL 187.246851 226.288334 \nL 185.398174 227.857135 \nL 183.165079 229.223292 \nL 181.879588 229.817889 \nL 180.466265 230.344413 \nL 178.912335 230.794101 \nL 177.203835 231.156244 \nL 175.32554 231.417814 \nL 173.260913 231.562992 \nL 170.992068 231.57264 \nL 168.499759 231.423669 \nL 165.763426 231.088312 \nL 162.76129 230.533306 \nL 159.470537 229.718972 \nL 155.86765 228.598228 \nL 151.92886 227.11556 \nL 147.630851 225.206028 \nL 142.95174 222.794415 \nL 137.872398 219.794708 \nL 132.378272 216.110135 \nL 126.461739 211.634166 \nL 120.125159 206.252949 \nL 113.38469 199.849827 \nL 106.274916 192.312684 \nL 98.854312 183.544952 \nL 91.211329 173.480962 \nL 83.470731 162.106021 \nL 75.799431 149.480623 \nL 68.41076 135.766952 \nL 61.565549 121.253582 \nL 55.567987 106.372056 \nL 50.754372 91.696672 \nL 47.472924 77.918643 \nL 46.054471 65.788165 \nL 46.775872 56.025671 \nL 49.820914 49.214311 \nL 55.246047 45.697338 \nL 62.959746 45.509908 \nL 72.722134 48.369256 \nL 84.167538 53.729858 \nL 96.846007 60.88795 \nL 110.274716 69.103482 \nL 137.576913 86.161399 \nL 150.712347 94.097782 \nL 163.153521 101.294373 \nL 174.743396 107.65297 \nL 185.396848 113.16264 \nL 195.085592 117.867323 \nL 203.823071 121.840418 \nL 211.651109 125.167044 \nL 218.629105 127.932881 \nL 224.825813 130.217964 \nL 230.31343 132.093765 \nL 239.444572 134.856847 \nL 246.548346 136.615743 \nL 252.065901 137.651384 \nL 256.347372 138.165451 \nL 259.660995 138.307013 \nL 262.207419 138.19091 \nL 264.134526 137.909458 \nL 266.093421 137.341693 \nL 267.154216 136.781919 \nL 267.496735 136.389285 \nL 267.398674 136.276235 \nL 267.087092 136.306444 \nL 266.309218 136.638344 \nL 265.284954 137.303893 \nL 264.156898 138.25497 \nL 263.061082 139.413623 \nL 262.11833 140.68356 \nL 261.42694 141.960576 \nL 261.057938 143.140797 \nL 261.01283 143.825383 \nL 261.135106 144.397301 \nL 261.423944 144.833245 \nL 261.872837 145.113332 \nL 262.469737 145.221794 \nL 263.197198 145.147729 \nL 264.032543 144.885919 \nL 265.426088 144.146016 \nL 266.887155 143.024532 \nL 268.286286 141.599123 \nL 269.485625 139.988911 \nL 270.352237 138.347559 \nL 270.688795 137.321266 \nL 270.803382 136.409498 \nL 270.682114 135.659676 \nL 270.322625 135.111766 \nL 269.734873 134.795431 \nL 268.940962 134.728036 \nL 267.974038 134.913811 \nL 266.876238 135.3441 \nL 265.696029 135.998681 \nL 263.884766 137.334085 \nL 262.178305 138.977961 \nL 260.732856 140.784584 \nL 259.977737 142.005497 \nL 259.423278 143.189233 \nL 259.089815 144.29481 \nL 258.990011 145.283815 \nL 259.129115 146.120794 \nL 259.50525 146.773618 \nL 260.109666 147.213988 \nL 260.926859 147.418143 \nL 261.934605 147.367788 \nL 263.103865 147.051342 \nL 264.398721 146.465428 \nL 265.776407 145.616534 \nL 267.18762 144.522658 \nL 268.577304 143.214683 \nL 269.886059 141.737111 \nL 271.052346 140.147846 \nL 272.015463 138.516576 \nL 272.719288 136.921604 \nL 273.116519 135.44515 \nL 273.172916 134.167366 \nL 272.871026 133.15993 \nL 272.585555 132.776141 \nL 272.212856 132.479925 \nL 271.756378 132.275361 \nL 270.61198 132.15055 \nL 269.203066 132.40639 \nL 267.595026 133.026258 \nL 265.863037 133.975322 \nL 264.086657 135.20485 \nL 262.344554 136.657048 \nL 260.710029 138.269503 \nL 259.247701 139.978812 \nL 258.011441 141.723149 \nL 257.043528 143.443802 \nL 256.37472 145.085827 \nL 256.024968 146.598171 \nL 256.004404 147.933464 \nL 256.314358 149.047767 \nL 256.948152 149.900498 \nL 257.891559 150.454651 \nL 259.122825 150.677544 \nL 260.612293 150.542115 \nL 262.321684 150.028934 \nL 264.203251 149.128876 \nL 266.198921 147.846376 \nL 268.239926 146.202995 \nL 270.247112 144.240814 \nL 272.132524 142.024917 \nL 273.802493 139.64414 \nL 275.162542 137.209026 \nL 276.124034 134.846391 \nL 276.612047 132.690366 \nL 276.660859 131.730879 \nL 276.573548 130.870609 \nL 276.348098 130.122927 \nL 275.984647 129.499375 \nL 275.485547 129.009333 \nL 274.855396 128.65982 \nL 274.100958 128.45535 \nL 273.231052 128.397865 \nL 272.256366 128.486813 \nL 271.189197 128.719241 \nL 268.833041 129.59216 \nL 266.28205 130.954481 \nL 263.661522 132.723407 \nL 261.092791 134.805478 \nL 258.68537 137.105068 \nL 256.531832 139.530434 \nL 254.705414 141.997105 \nL 253.26 144.429037 \nL 252.23179 146.758223 \nL 251.64187 148.923322 \nL 251.49905 150.868036 \nL 251.595348 151.741117 \nL 251.802445 152.53946 \nL 252.119034 153.25677 \nL 252.543399 153.886839 \nL 253.07342 154.423542 \nL 253.706583 154.860825 \nL 254.439951 155.19275 \nL 255.270143 155.413511 \nL 256.193282 155.517495 \nL 257.204931 155.499379 \nL 258.300038 155.35421 \nL 259.472841 155.077526 \nL 260.71679 154.665505 \nL 263.387421 153.424515 \nL 266.240302 151.620835 \nL 269.18575 149.267853 \nL 272.114504 146.410809 \nL 274.898201 143.134247 \nL 277.392803 139.566929 \nL 278.484106 137.726651 \nL 279.445905 135.88158 \nL 280.259735 134.058905 \nL 280.908251 132.287097 \nL 281.375793 130.595186 \nL 281.648898 129.011951 \nL 281.716849 127.565015 \nL 281.572152 126.279939 \nL 281.210946 125.179317 \nL 280.633284 124.282048 \nL 279.843312 123.602666 \nL 278.849281 123.150935 \nL 277.663395 122.931641 \nL 276.301538 122.944597 \nL 274.78281 123.18494 \nL 273.129007 123.643544 \nL 271.363966 124.307669 \nL 269.512878 125.161637 \nL 267.601607 126.187623 \nL 263.701263 128.678004 \nL 259.859101 131.620055 \nL 256.246526 134.860898 \nL 253.001175 138.264318 \nL 250.224217 141.714945 \nL 247.982601 145.117622 \nL 246.31443 148.393971 \nL 245.701053 149.963748 \nL 245.235676 151.477849 \nL 244.917934 152.929168 \nL 244.746874 154.310842 \nL 244.7211 155.616122 \nL 244.83889 156.838263 \nL 245.098308 157.970477 \nL 245.497259 159.005819 \nL 246.033544 159.937152 \nL 246.70488 160.75709 \nL 247.508888 161.457957 \nL 248.44306 162.031794 \nL 249.504708 162.470339 \nL 250.690881 162.765054 \nL 251.998253 162.907178 \nL 253.423008 162.887826 \nL 254.960676 162.698085 \nL 256.605962 162.329212 \nL 258.352566 161.772816 \nL 260.192955 161.021152 \nL 262.118146 160.067464 \nL 264.117487 158.906381 \nL 266.178419 157.53438 \nL 268.286248 155.950334 \nL 270.423972 154.156094 \nL 272.572109 152.157129 \nL 274.708622 149.963134 \nL 276.808889 147.588651 \nL 278.845802 145.053613 \nL 280.789987 142.383726 \nL 282.610184 139.610673 \nL 284.273778 136.772034 \nL 285.74751 133.910895 \nL 286.998381 131.075045 \nL 287.99468 128.315792 \nL 288.707178 125.686391 \nL 289.110339 123.240096 \nL 289.183584 121.027994 \nL 288.912432 119.096799 \nL 288.289468 117.486629 \nL 287.315065 116.229187 \nL 285.997753 115.346297 \nL 284.354209 114.849134 \nL 282.408829 114.73802 \nL 280.192895 115.003011 \nL 277.743436 115.625003 \nL 275.101823 116.577368 \nL 272.312204 117.827851 \nL 269.419904 119.340519 \nL 266.469912 121.07776 \nL 263.505501 123.001962 \nL 260.567094 125.076894 \nL 257.69137 127.268765 \nL 254.910672 129.546906 \nL 252.252683 131.884126 \nL 249.740329 134.256766 \nL 247.391892 136.644621 \nL 245.221295 139.030626 \nL 243.238493 141.40052 \nL 241.449926 143.742448 \nL 239.859041 146.046542 \nL 238.46679 148.304554 \nL 237.27214 150.509483 \nL 236.272531 152.655282 \nL 235.464309 154.736576 \nL 234.843099 156.748421 \nL 234.404135 158.686115 \nL 234.142522 160.545037 \nL 234.053475 162.320479 \nL 234.132493 164.007528 \nL 234.375492 165.600964 \nL 234.778895 167.095124 \nL 235.339697 168.483834 \nL 236.055493 169.760295 \nL 236.924476 170.916995 \nL 237.945399 171.945625 \nL 239.117513 172.837 \nL 240.440488 173.580963 \nL 241.914296 174.166332 \nL 243.539069 174.58086 \nL 245.314909 174.811198 \nL 247.241698 174.8429 \nL 249.31883 174.660485 \nL 251.544939 174.247561 \nL 253.917537 173.587019 \nL 256.432653 172.661323 \nL 259.084383 171.452964 \nL 261.864417 169.945013 \nL 264.761506 168.121904 \nL 267.7609 165.970374 \nL 270.843782 163.480667 \nL 273.986678 160.647895 \nL 277.160947 157.473654 \nL 280.332337 153.967735 \nL 283.460713 150.149933 \nL 286.499971 146.051779 \nL 289.398308 141.717972 \nL 292.098831 137.20738 \nL 294.540659 132.59324 \nL 296.660517 127.962374 \nL 298.394865 123.413172 \nL 299.682566 119.05221 \nL 300.467895 114.989536 \nL 300.703781 111.332843 \nL 300.355032 108.181059 \nL 299.401217 105.61785 \nL 297.838848 103.705938 \nL 295.682659 102.482919 \nL 292.965679 101.959179 \nL 289.738077 102.118242 \nL 286.064815 102.919391 \nL 282.02234 104.302207 \nL 277.694616 106.192422 \nL 273.168917 108.508106 \nL 268.531787 111.165576 \nL 263.865428 114.084369 \nL 259.244836 117.190951 \nL 254.735758 120.421039 \nL 250.393481 123.720713 \nL 246.262404 127.046427 \nL 242.376248 130.364285 \nL 238.758763 133.648923 \nL 235.424744 136.882099 \nL 232.381266 140.051299 \nL 229.628966 143.148448 \nL 227.163329 146.16876 \nL 224.975881 149.109797 \nL 223.055271 151.970722 \nL 221.388224 154.751724 \nL 219.960337 157.453586 \nL 218.756748 160.077392 \nL 217.762668 162.624302 \nL 216.963805 165.095416 \nL 216.346678 167.49169 \nL 215.898856 169.813848 \nL 215.609117 172.062359 \nL 215.467556 174.237394 \nL 215.465642 176.338817 \nL 215.596246 178.366133 \nL 215.853637 180.318471 \nL 216.233468 182.194528 \nL 216.73274 183.992528 \nL 217.349766 185.710179 \nL 218.084116 187.344562 \nL 218.936584 188.892087 \nL 219.909131 190.348354 \nL 221.004837 191.708065 \nL 222.227858 192.964872 \nL 223.583372 194.111217 \nL 225.077516 195.138163 \nL 226.717338 196.035185 \nL 228.510706 196.789949 \nL 230.466226 197.388073 \nL 232.59312 197.812848 \nL 234.901074 198.044969 \nL 237.400039 198.062249 \nL 240.099987 197.839343 \nL 243.010575 197.347519 \nL 246.14073 196.554468 \nL 249.498116 195.424255 \nL 253.088476 193.917416 \nL 256.914805 191.991308 \nL 260.976353 189.600817 \nL 265.267416 186.699542 \nL 269.775916 183.241546 \nL 274.481785 179.183964 \nL 279.355168 174.490403 \nL 284.354477 169.135455 \nL 289.424472 163.110216 \nL 294.49449 156.428725 \nL 299.477074 149.134983 \nL 304.267359 141.309944 \nL 308.743573 133.077465 \nL 312.769092 124.607799 \nL 316.196486 116.117186 \nL 318.873802 107.861824 \nL 320.653116 100.12517 \nL 321.401011 93.198449 \nL 321.010139 87.355677 \nL 319.410566 82.826227 \nL 316.579221 79.769454 \nL 312.545795 78.256368 \nL 307.393683 78.26227 \nL 301.255446 79.672515 \nL 294.303127 82.300083 \nL 286.734852 85.911231 \nL 278.759694 90.253881 \nL 270.583004 95.083444 \nL 262.394033 100.18233 \nL 254.356953 105.371554 \nL 239.24239 115.516107 \nL 225.936663 124.880202 \nL 220.057505 129.198767 \nL 214.701235 133.273458 \nL 209.85343 137.115346 \nL 205.488695 140.740183 \nL 201.574046 144.16553 \nL 198.071708 147.408863 \nL 194.941326 150.486447 \nL 192.141676 153.412729 \nL 187.372483 158.858765 \nL 183.456092 163.821462 \nL 174.279598 176.149221 \nL 171.412669 179.414405 \nL 169.926412 180.876565 \nL 168.383462 182.217786 \nL 166.768996 183.431023 \nL 165.069059 184.507841 \nL 163.270453 185.438322 \nL 161.360653 186.210882 \nL 159.327786 186.812149 \nL 157.160622 187.226796 \nL 154.848646 187.437424 \nL 152.382166 187.4244 \nL 149.752513 187.165797 \nL 146.95229 186.637375 \nL 143.975739 185.812644 \nL 140.819183 184.663092 \nL 137.481606 183.158569 \nL 133.965319 181.267911 \nL 130.276779 178.959928 \nL 126.427522 176.20471 \nL 122.435208 172.975466 \nL 118.324744 169.250816 \nL 114.129474 165.01771 \nL 109.892272 160.274809 \nL 105.666562 155.036391 \nL 101.516979 149.336408 \nL 97.5196 143.232448 \nL 93.761455 136.809049 \nL 90.339164 130.179644 \nL 87.356426 123.486443 \nL 84.920275 116.897405 \nL 83.136057 110.599823 \nL 82.101288 104.790262 \nL 81.898831 99.661354 \nL 82.589899 95.386713 \nL 84.207792 92.105733 \nL 86.753205 89.910698 \nL 90.191892 88.838417 \nL 94.455274 88.868012 \nL 99.444025 89.925231 \nL 105.034381 91.892648 \nL 111.08634 94.623705 \nL 117.452708 97.95816 \nL 123.9879 101.736457 \nL 130.555569 105.811199 \nL 137.034429 110.054864 \nL 143.322032 114.363604 \nL 149.336511 118.657776 \nL 155.016638 122.880119 \nL 160.320572 126.99249 \nL 165.223751 130.972102 \nL 169.716335 134.807755 \nL 173.800502 138.496499 \nL 177.487827 142.040841 \nL 180.796884 145.446631 \nL 183.751159 148.721478 \nL 186.377301 151.873647 \nL 188.703686 154.911349 \nL 190.759296 157.842348 \nL 192.572864 160.673686 \nL 194.17224 163.411643 \nL 196.832954 168.628654 \nL 198.933666 173.529014 \nL 200.638066 178.139112 \nL 203.378144 186.561213 \nL 205.242502 192.225451 \nL 206.542547 195.702671 \nL 207.965422 198.941347 \nL 209.572979 201.936128 \nL 211.427365 204.674741 \nL 212.46743 205.941689 \nL 213.594281 207.1356 \nL 214.817164 208.251766 \nL 216.145889 209.2844 \nL 217.590899 210.226446 \nL 219.163337 211.069356 \nL 220.875092 211.802845 \nL 222.738834 212.414585 \nL 224.768031 212.889868 \nL 226.976938 213.211205 \nL 229.380546 213.35791 \nL 231.994493 213.305607 \nL 234.834897 213.025703 \nL 237.918136 212.484859 \nL 241.260474 211.644447 \nL 244.877608 210.460059 \nL 248.783997 208.881114 \nL 252.991997 206.850698 \nL 257.51074 204.305715 \nL 262.344692 201.177568 \nL 267.491855 197.393587 \nL 272.941551 192.879494 \nL 278.671807 187.563241 \nL 284.646308 181.380586 \nL 290.811008 174.282717 \nL 297.090608 166.246094 \nL 303.385149 157.284467 \nL 309.567233 147.462348 \nL 315.480494 136.908777 \nL 320.94022 125.829019 \nL 325.736986 114.511102 \nL 329.644326 103.323334 \nL 332.430927 92.699102 \nL 333.877437 83.106622 \nL 333.796714 75.004438 \nL 332.05537 68.787573 \nL 328.593277 64.733897 \nL 323.437074 62.962711 \nL 316.704266 63.416804 \nL 308.596117 65.873675 \nL 299.379871 69.983898 \nL 289.363318 75.326658 \nL 278.866397 81.468656 \nL 268.194768 88.013609 \nL 219.948822 118.147308 \nL 187.865942 137.96736 \nL 179.180124 143.596417 \nL 169.240134 150.371265 \nL 159.615379 156.982614 \nL 155.624999 159.37493 \nL 153.726535 160.345735 \nL 151.86056 161.162935 \nL 150.007039 161.822437 \nL 148.148883 162.319114 \nL 146.271791 162.64698 \nL 144.364117 162.799374 \nL 142.416791 162.769139 \nL 140.423247 162.548847 \nL 138.379423 162.131053 \nL 136.283788 161.508575 \nL 134.137387 160.67488 \nL 131.943936 159.624459 \nL 129.70992 158.353345 \nL 127.444715 156.859645 \nL 125.160707 155.144153 \nL 122.873367 153.211004 \nL 120.60132 151.068361 \nL 118.366331 148.729103 \nL 116.193203 146.211421 \nL 114.109562 143.539351 \nL 112.145503 140.7431 \nL 110.333075 137.859112 \nL 108.705582 134.929845 \nL 107.296706 132.003112 \nL 106.139452 129.131056 \nL 105.264934 126.368622 \nL 104.701086 123.77169 \nL 104.471322 121.394871 \nL 104.593264 119.289116 \nL 105.077577 117.499388 \nL 105.927118 116.062499 \nL 107.136333 115.005382 \nL 108.691132 114.343987 \nL 110.569128 114.0828 \nL 112.740365 114.215185 \nL 115.168372 114.72434 \nL 117.811593 115.584918 \nL 120.624971 116.764884 \nL 123.561624 118.227692 \nL 126.574502 119.934383 \nL 129.617904 121.845484 \nL 132.648765 123.922608 \nL 135.627687 126.129704 \nL 138.519653 128.433866 \nL 141.294474 130.805815 \nL 143.926946 133.220059 \nL 146.396793 135.654815 \nL 148.688413 138.091728 \nL 150.790491 140.515524 \nL 152.695533 142.91358 \nL 154.399335 145.2755 \nL 155.900445 147.592677 \nL 157.199623 149.857922 \nL 158.299346 152.065119 \nL 159.203342 154.208939 \nL 159.916185 156.284562 \nL 160.442939 158.287468 \nL 160.788845 160.213282 \nL 160.959082 162.057594 \nL 160.958561 163.815816 \nL 160.791783 165.483087 \nL 160.462714 167.054151 \nL 159.974712 168.523263 \nL 159.330494 169.884074 \nL 158.532121 171.129551 \nL 157.581021 172.251887 \nL 156.47803 173.242402 \nL 155.223474 174.091457 \nL 153.81726 174.788384 \nL 152.259013 175.321394 \nL 150.548232 175.67755 \nL 148.684475 175.842745 \nL 146.667597 175.801696 \nL 144.498019 175.538035 \nL 142.177037 175.034424 \nL 139.707194 174.272781 \nL 137.092688 173.234641 \nL 134.339841 171.901624 \nL 131.457623 170.256077 \nL 128.458222 168.281939 \nL 125.357641 165.965811 \nL 122.176315 163.298252 \nL 118.939718 160.275321 \nL 115.678895 156.900336 \nL 112.430928 153.18575 \nL 109.239167 149.155077 \nL 106.153235 144.844708 \nL 103.22871 140.305373 \nL 100.526303 135.603002 \nL 98.110593 130.818728 \nL 96.048144 126.047673 \nL 94.40506 121.396381 \nL 93.244067 116.978736 \nL 92.621141 112.910459 \nL 92.582036 109.302602 \nL 93.158908 106.254495 \nL 94.367457 103.84692 \nL 96.204839 102.136528 \nL 98.648767 101.152026 \nL 101.65786 100.892886 \nL 105.173378 101.330705 \nL 109.122166 102.412931 \nL 113.4205 104.068483 \nL 117.978486 106.214307 \nL 122.704551 108.762061 \nL 127.509608 111.624138 \nL 132.310589 114.718455 \nL 137.033157 117.971801 \nL 141.613461 121.321676 \nL 145.999034 124.716857 \nL 150.148909 128.116993 \nL 154.03313 131.491534 \nL 157.631787 134.818322 \nL 160.933818 138.082031 \nL 163.93564 141.272698 \nL 166.639775 144.384397 \nL 169.053524 147.414108 \nL 171.187751 150.360817 \nL 173.055816 153.224821 \nL 174.672645 156.007196 \nL 176.053969 158.709433 \nL 177.215687 161.333188 \nL 178.173386 163.880081 \nL 178.941947 166.351613 \nL 179.535279 168.749072 \nL 179.966104 171.073516 \nL 180.245837 173.32572 \nL 180.384497 175.506171 \nL 180.390674 177.615057 \nL 180.271526 179.65224 \nL 180.032789 181.617219 \nL 179.678808 183.509122 \nL 179.21258 185.326654 \nL 178.635799 187.068022 \nL 177.948906 188.730918 \nL 177.151133 190.312409 \nL 176.24055 191.808846 \nL 175.21411 193.215774 \nL 174.067691 194.527783 \nL 172.796139 195.738389 \nL 171.393308 196.839847 \nL 169.852102 197.822964 \nL 168.164539 198.67688 \nL 166.321809 199.38883 \nL 164.314357 199.943879 \nL 162.132 200.32462 \nL 159.764072 200.510873 \nL 157.199608 200.479367 \nL 154.42761 200.203429 \nL 151.437379 199.6527 \nL 148.218944 198.792928 \nL 144.763605 197.585853 \nL 141.064653 195.989287 \nL 137.118228 193.957455 \nL 132.924391 191.441718 \nL 128.488424 188.391785 \nL 123.822364 184.757643 \nL 118.946782 180.492298 \nL 113.892746 175.555553 \nL 108.703958 169.918957 \nL 103.438906 163.5719 \nL 98.172859 156.528837 \nL 92.999378 148.837155 \nL 88.031068 140.585034 \nL 83.399033 131.908092 \nL 79.25056 122.993305 \nL 75.744597 114.07828 \nL 73.044687 105.444118 \nL 71.309319 97.400578 \nL 70.680149 90.263434 \nL 71.269088 84.325855 \nL 73.145805 79.827416 \nL 76.327568 76.926158 \nL 80.77338 75.679547 \nL 86.383809 76.038697 \nL 93.007132 77.857611 \nL 100.45102 80.915544 \nL 108.498091 84.947386 \nL 116.922863 89.675779 \nL 125.50764 94.838871 \nL 134.055419 100.210083 \nL 150.403952 110.901233 \nL 165.03835 120.849963 \nL 177.537492 129.733705 \nL 182.963822 133.771304 \nL 187.863889 137.558641 \nL 192.268562 141.115495 \nL 196.215571 144.462411 \nL 199.746721 147.61898 \nL 205.736515 153.4293 \nL 210.584039 158.658584 \nL 214.610123 163.380854 \nL 221.281865 171.443489 \nL 224.367504 174.791949 \nL 225.926318 176.287022 \nL 227.52076 177.656166 \nL 229.167663 178.892934 \nL 230.882553 179.989531 \nL 232.679773 180.936745 \nL 234.572598 181.723829 \nL 236.57328 182.338418 \nL 238.69308 182.766421 \nL 240.942219 182.991941 \nL 243.3298 182.997203 \nL 245.863629 182.762541 \nL 248.550012 182.266452 \nL 251.393427 181.485747 \nL 254.396127 180.395794 \nL 257.557655 178.970999 \nL 260.874255 177.185442 \nL 264.338164 175.01381 \nL 267.936864 172.432665 \nL 271.65218 169.422067 \nL 275.459413 165.967602 \nL 279.326414 162.062848 \nL 283.212769 157.712172 \nL 287.069105 152.933834 \nL 290.836705 147.763126 \nL 294.447571 142.255273 \nL 297.825019 136.487699 \nL 300.885092 130.561114 \nL 303.538802 124.598878 \nL 305.695382 118.744122 \nL 307.266431 113.154281 \nL 308.170914 107.993015 \nL 308.340588 103.419881 \nL 307.725438 99.578778 \nL 306.298542 96.586363 \nL 304.059669 94.522331 \nL 301.03706 93.42286 \nL 297.287036 93.278552 \nL 292.891324 94.037142 \nL 287.952281 95.610578 \nL 282.58664 97.88517 \nL 276.918473 100.733072 \nL 271.072197 104.023467 \nL 265.166268 107.631921 \nL 259.308178 111.447215 \nL 253.590958 115.375364 \nL 248.09122 119.340971 \nL 242.86861 123.286723 \nL 237.966365 127.171468 \nL 233.41269 130.967616 \nL 229.22261 134.658355 \nL 225.400092 138.234987 \nL 221.940162 141.694603 \nL 218.830935 145.03821 \nL 216.055445 148.269236 \nL 213.593231 151.392483 \nL 211.421667 154.413341 \nL 209.517047 157.337312 \nL 207.855449 160.169708 \nL 206.41338 162.91546 \nL 205.168264 165.579062 \nL 204.098778 168.164548 \nL 202.408905 173.115203 \nL 201.204418 177.791826 \nL 200.371999 182.214136 \nL 199.822646 186.398508 \nL 199.488642 190.359045 \nL 199.286431 195.90715 \nL 199.350205 201.016876 \nL 199.623696 205.721124 \nL 200.089395 210.048726 \nL 200.759531 214.024158 \nL 201.671938 217.666526 \nL 202.444966 219.915907 \nL 203.378944 222.023599 \nL 204.506066 223.987567 \nL 205.866138 225.801663 \nL 207.508011 227.45391 \nL 209.49132 228.923985 \nL 211.888541 230.179529 \nL 213.269098 230.712171 \nL 214.787318 231.170773 \nL 216.456934 231.545124 \nL 218.292928 231.822776 \nL 220.311591 231.988607 \nL 222.530574 232.024298 \nL 224.968897 231.907725 \nL 227.646931 231.612246 \nL 230.586314 231.105901 \nL 233.809775 230.350505 \nL 237.34088 229.300666 \nL 241.203583 227.902741 \nL 245.421597 226.093819 \nL 250.017495 223.800798 \nL 255.011457 220.939744 \nL 260.419577 217.415752 \nL 266.251641 213.123665 \nL 272.508234 207.950096 \nL 279.177082 201.777385 \nL 286.228574 194.490239 \nL 293.610449 185.985848 \nL 301.241755 176.1883 \nL 309.006465 165.067698 \nL 316.747332 152.663827 \nL 324.261018 139.112691 \nL 331.296075 124.672558 \nL 337.555556 109.743527 \nL 342.706542 94.872355 \nL 346.398223 80.733163 \nL 348.289489 68.076847 \nL 348.08451 57.647721 \nL 345.572394 50.077089 \nL 340.663745 45.775326 \nL 333.415611 44.85201 \nL 324.036985 47.090935 \nL 312.871198 51.991782 \nL 300.357538 58.867397 \nL 286.980407 66.966937 \nL 259.496171 84.161401 \nL 246.16743 92.271722 \nL 233.493102 99.666983 \nL 221.648731 106.225189 \nL 210.734259 111.920259 \nL 200.788937 116.788014 \nL 191.806841 120.898731 \nL 183.750847 124.337631 \nL 176.564128 127.192304 \nL 170.178983 129.545558 \nL 164.523247 131.471926 \nL 159.524712 133.036492 \nL 151.22631 135.295 \nL 144.788578 136.672741 \nL 139.807017 137.421582 \nL 135.965808 137.725073 \nL 133.025313 137.721636 \nL 130.806824 137.519886 \nL 128.55262 137.033912 \nL 127.316153 136.532194 \nL 126.877549 136.188737 \nL 126.941616 136.107637 \nL 127.454736 136.259356 \nL 128.330242 136.756938 \nL 129.413485 137.576603 \nL 130.554458 138.656312 \nL 131.615498 139.907852 \nL 132.479229 141.228638 \nL 133.054619 142.511693 \nL 133.280303 143.653202 \nL 133.220086 144.288183 \nL 132.988645 144.792776 \nL 132.590284 145.145213 \nL 132.035032 145.327628 \nL 131.338501 145.326741 \nL 130.52172 145.134723 \nL 129.61094 144.750038 \nL 128.137814 143.826321 \nL 126.646897 142.537219 \nL 125.27583 140.979673 \nL 124.166193 139.291703 \nL 123.636953 138.176462 \nL 123.314346 137.131738 \nL 123.222031 136.210367 \nL 123.373179 135.460596 \nL 123.768932 134.922613 \nL 124.39762 134.625647 \nL 125.235117 134.586022 \nL 126.24608 134.80639 \nL 127.386165 135.276219 \nL 128.604842 135.973265 \nL 130.462987 137.373522 \nL 132.19981 139.078413 \nL 133.657142 140.937617 \nL 134.409845 142.187255 \nL 134.954002 143.393806 \nL 135.269848 144.515776 \nL 135.345429 145.514342 \nL 135.176303 146.353734 \nL 134.765216 147.001577 \nL 134.121853 147.429392 \nL 133.262719 147.613325 \nL 132.211142 147.535141 \nL 130.997391 147.183523 \nL 129.658787 146.555663 \nL 128.239667 145.658999 \nL 126.79108 144.512936 \nL 125.369961 143.150273 \nL 124.037655 141.617972 \nL 122.857554 139.976817 \nL 121.891962 138.299653 \nL 121.198151 136.667948 \nL 120.823912 135.166743 \nL 120.803134 133.878358 \nL 121.152005 132.875604 \nL 121.464583 132.499926 \nL 121.866349 132.21554 \nL 122.353466 132.026327 \nL 123.56216 131.941678 \nL 125.036398 132.248 \nL 126.70724 132.925489 \nL 128.496269 133.935953 \nL 130.321285 135.227562 \nL 132.101711 136.739829 \nL 133.763125 138.408234 \nL 135.240504 140.167829 \nL 136.480174 141.955723 \nL 137.440482 143.712503 \nL 138.091573 145.382759 \nL 138.414544 146.915111 \nL 138.400335 148.261884 \nL 138.048668 149.378831 \nL 137.367222 150.224995 \nL 136.371218 150.762969 \nL 135.083437 150.959661 \nL 133.534672 150.787703 \nL 131.764539 150.227562 \nL 129.822423 149.270378 \nL 127.768387 147.92143 \nL 125.673628 146.203891 \nL 123.620113 144.162408 \nL 121.698882 141.865692 \nL 120.006787 139.407158 \nL 118.641207 136.902662 \nL 117.693045 134.48452 \nL 117.238375 132.29189 \nL 117.213705 131.322416 \nL 117.329901 130.458136 \nL 117.588679 129.712587 \nL 117.989488 129.097299 \nL 118.529454 128.621509 \nL 119.203384 128.291946 \nL 120.003837 128.112686 \nL 120.921283 128.085147 \nL 121.944283 128.208141 \nL 123.059782 128.478036 \nL 125.509739 129.433242 \nL 128.146356 130.882941 \nL 130.840106 132.739279 \nL 133.466855 134.90483 \nL 135.915686 137.281206 \nL 138.093906 139.775016 \nL 139.929093 142.300996 \nL 141.368776 144.782882 \nL 142.378457 147.152691 \nL 142.938757 149.349227 \nL 143.042411 151.316218 \nL 142.923365 152.196967 \nL 142.691594 153.000598 \nL 142.348527 153.720773 \nL 141.895983 154.3512 \nL 141.336172 154.885661 \nL 140.67169 155.317988 \nL 139.905541 155.642118 \nL 139.041186 155.852107 \nL 138.082582 155.942206 \nL 137.034245 155.90693 \nL 135.90134 155.741172 \nL 134.689746 155.440326 \nL 133.406167 155.000459 \nL 130.654542 153.692296 \nL 127.720103 151.805996 \nL 124.695395 149.355709 \nL 121.693473 146.388992 \nL 118.847418 142.994741 \nL 116.306663 139.308257 \nL 115.200129 137.410461 \nL 114.229236 135.510856 \nL 113.413053 133.637887 \nL 112.76944 131.821294 \nL 112.314449 130.091311 \nL 112.061777 128.477806 \nL 112.022197 127.009309 \nL 112.203049 125.712046 \nL 112.607834 124.609018 \nL 113.235917 123.719212 \nL 114.082386 123.056947 \nL 115.138024 122.631469 \nL 116.389531 122.446768 \nL 117.819822 122.501651 \nL 119.408516 122.790063 \nL 121.13256 123.301614 \nL 122.966885 124.022259 \nL 124.885142 124.935059 \nL 126.860456 126.020995 \nL 130.876123 128.630566 \nL 134.812718 131.685685 \nL 138.496565 135.029539 \nL 141.790084 138.524217 \nL 144.59387 142.054248 \nL 146.843706 145.525284 \nL 147.749005 147.214022 \nL 148.504572 148.860132 \nL 149.10941 150.455845 \nL 149.563436 151.993852 \nL 149.867311 153.467168 \nL 150.022236 154.869004 \nL 150.029821 156.192672 \nL 149.89195 157.431479 \nL 149.610689 158.578635 \nL 149.188213 159.627171 \nL 148.626767 160.56989 \nL 147.928646 161.399321 \nL 147.096206 162.107667 \nL 146.131905 162.686801 \nL 145.038361 163.128246 \nL 143.818435 163.423233 \nL 142.475349 163.562714 \nL 141.012818 163.537469 \nL 139.435211 163.338218 \nL 137.747732 162.95581 \nL 135.956618 162.381418 \nL 134.069375 161.606845 \nL 132.094999 160.624867 \nL 130.044219 159.429652 \nL 127.929755 158.017257 \nL 125.766548 156.386192 \nL 123.571967 154.53805 \nL 121.365963 152.478163 \nL 119.171205 150.216287 \nL 117.013086 147.767262 \nL 114.91963 145.151567 \nL 112.921286 142.395786 \nL 111.050522 139.532805 \nL 109.341273 136.601781 \nL 107.828199 133.647695 \nL 106.545739 130.720543 \nL 105.526983 127.874049 \nL 104.802457 125.163991 \nL 104.398797 122.646121 \nL 104.33742 120.373857 \nL 104.633311 118.395872 \nL 105.293979 116.753796 \nL 106.318718 115.4802 \nL 107.69822 114.597141 \nL 109.41461 114.115295 \nL 111.44193 114.033895 \nL 113.74703 114.341343 \nL 116.290827 115.016504 \nL 119.029803 116.030465 \nL 121.917697 117.348632 \nL 124.907177 118.932831 \nL 127.951476 120.743412 \nL 131.005803 122.740996 \nL 134.028531 124.887954 \nL 136.982089 127.149438 \nL 139.833556 129.494053 \nL 142.554972 131.894164 \nL 145.123382 134.325943 \nL 147.520689 136.769185 \nL 149.733332 139.206994 \nL 151.751842 141.625366 \nL 153.570346 144.012761 \nL 155.186024 146.359678 \nL 156.598559 148.658237 \nL 157.80962 150.901802 \nL 158.82238 153.084683 \nL 159.641057 155.201842 \nL 160.270549 157.248655 \nL 160.716087 159.22072 \nL 160.982959 161.11369 \nL 161.076293 162.92311 \nL 161.000857 164.644317 \nL 160.760949 166.272303 \nL 160.36029 167.801628 \nL 159.801962 169.226304 \nL 159.088391 170.539704 \nL 158.221351 171.734476 \nL 157.201983 172.802441 \nL 156.030873 173.734517 \nL 154.708116 174.520603 \nL 153.233454 175.149538 \nL 151.606394 175.609029 \nL 149.826398 175.885594 \nL 147.893073 175.964571 \nL 145.806437 175.830148 \nL 143.567196 175.465455 \nL 141.177087 174.852717 \nL 138.639255 173.973546 \nL 135.958706 172.809333 \nL 133.142792 171.341799 \nL 130.201757 169.553735 \nL 127.149329 167.429933 \nL 124.003323 164.958366 \nL 120.786271 162.131625 \nL 117.526015 158.948522 \nL 114.256205 155.41595 \nL 111.016688 151.550804 \nL 107.853666 147.381912 \nL 104.819565 142.951721 \nL 101.972522 138.317589 \nL 99.37537 133.552292 \nL 97.094121 128.743565 \nL 95.195814 123.992323 \nL 93.745863 119.409423 \nL 92.804866 115.110935 \nL 92.425172 111.212109 \nL 92.647366 107.820459 \nL 93.497045 105.028694 \nL 94.982216 102.908252 \nL 97.091692 101.504302 \nL 99.794712 100.832996 \nL 103.041867 100.881303 \nL 106.767435 101.609462 \nL 110.892762 102.95569 \nL 115.330445 104.842322 \nL 119.988836 107.182638 \nL 124.776501 109.887357 \nL 129.606144 112.870254 \nL 134.397847 116.052367 \nL 139.081356 119.364647 \nL 143.597486 122.749269 \nL 147.898651 126.159691 \nL 151.948676 129.559912 \nL 155.722087 132.923221 \nL 159.203013 136.230648 \nL 162.383879 139.469444 \nL 165.264016 142.631617 \nL 167.848295 145.712714 \nL 170.145829 148.710766 \nL 172.168819 151.625474 \nL 173.931535 154.457615 \nL 175.449464 157.208543 \nL 176.7386 159.879906 \nL 177.814872 162.473418 \nL 178.693708 164.990708 \nL 179.389693 167.433242 \nL 179.916331 169.802257 \nL 180.285874 172.098735 \nL 180.50922 174.323382 \nL 180.595844 176.476601 \nL 180.553783 178.558493 \nL 180.389645 180.568827 \nL 180.108621 182.507008 \nL 179.71453 184.372054 \nL 179.20986 186.162532 \nL 178.595819 187.876532 \nL 177.87238 189.51158 \nL 177.038325 191.06456 \nL 176.091298 192.531615 \nL 175.027841 193.908039 \nL 173.843438 195.188142 \nL 172.532553 196.365106 \nL 171.088677 197.430794 \nL 169.504365 198.37556 \nL 167.771304 199.188031 \nL 165.880367 199.854834 \nL 163.821716 200.360343 \nL 161.584908 200.686358 \nL 159.159066 200.811804 \nL 156.533071 200.712405 \nL 153.695851 200.360368 \nL 150.636723 199.72412 \nL 147.345874 198.768109 \nL 143.814941 197.452735 \nL 140.037765 195.734475 \nL 136.011307 193.566322 \nL 131.736804 190.898618 \nL 127.221134 187.680462 \nL 122.478412 183.861824 \nL 117.531868 179.396622 \nL 112.415873 174.246793 \nL 107.178135 168.387637 \nL 101.881824 161.8143 \nL 96.607532 154.549308 \nL 91.454624 146.650649 \nL 86.541691 138.219507 \nL 82.005603 129.406478 \nL 77.998594 120.414429 \nL 74.683021 111.496222 \nL 72.223494 102.945421 \nL 70.776455 95.079026 \nL 70.477806 88.212587 \nL 71.429798 82.630047 \nL 73.688806 78.552592 \nL 77.256093 76.112301 \nL 82.073354 75.336244 \nL 88.024372 76.144984 \nL 94.94295 78.366117 \nL 102.626079 81.759951 \nL 110.850393 86.051548 \nL 119.389232 90.962543 \nL 128.02803 96.237243 \nL 136.576227 101.659868 \nL 152.799926 112.32468 \nL 167.204479 122.152719 \nL 179.433891 130.886847 \nL 184.725432 134.850135 \nL 189.496239 138.566358 \nL 193.779913 142.056141 \nL 197.616027 145.340217 \nL 201.047506 148.437928 \nL 206.873456 154.140504 \nL 211.603964 159.271211 \nL 217.328972 166.037325 \nL 222.191301 171.769078 \nL 225.304043 175.011302 \nL 226.885931 176.449104 \nL 228.509189 177.757514 \nL 230.190232 178.929532 \nL 231.944179 179.95678 \nL 233.784978 180.829418 \nL 235.725497 181.53605 \nL 237.777549 182.063627 \nL 239.951904 182.39737 \nL 242.258221 182.520671 \nL 244.704942 182.415084 \nL 247.299087 182.060344 \nL 250.046 181.434463 \nL 252.949008 180.513919 \nL 256.008974 179.274029 \nL 259.223785 177.689497 \nL 262.58771 175.73518 \nL 266.090694 173.387162 \nL 269.717534 170.624199 \nL 273.44704 167.42948 \nL 277.25114 163.792831 \nL 281.09403 159.713295 \nL 284.931434 155.202038 \nL 288.710089 150.285371 \nL 292.367569 145.007737 \nL 295.832604 139.434271 \nL 299.026066 133.652454 \nL 301.862751 127.77236 \nL 304.254036 121.92499 \nL 306.111537 116.258253 \nL 307.351552 110.930367 \nL 307.900207 106.100856 \nL 307.698783 101.91981 \nL 306.708813 98.516561 \nL 304.916259 95.989037 \nL 302.33423 94.395729 \nL 299.003748 93.751272 \nL 294.992265 94.026634 \nL 290.390064 95.153858 \nL 285.304868 97.034384 \nL 279.855325 99.549728 \nL 274.164082 102.572591 \nL 268.351211 105.977085 \nL 262.528632 109.646707 \nL 256.795847 113.479759 \nL 251.237234 117.392095 \nL 245.920757 121.317548 \nL 240.897931 125.206848 \nL 236.204745 129.025375 \nL 231.863238 132.750588 \nL 227.883422 136.369302 \nL 224.265371 139.875289 \nL 221.001265 143.267178 \nL 218.077286 146.546784 \nL 215.475313 149.717878 \nL 213.174366 152.785253 \nL 211.151811 155.754102 \nL 209.384321 158.629603 \nL 207.84864 161.416694 \nL 206.522151 164.119938 \nL 205.383287 166.743471 \nL 204.411818 169.291004 \nL 202.89782 174.17098 \nL 201.849881 178.782417 \nL 201.163372 183.143627 \nL 200.757374 187.269909 \nL 200.571681 191.174432 \nL 200.56355 194.868818 \nL 200.82565 200.038711 \nL 201.378691 204.788977 \nL 201.906781 207.734845 \nL 202.57213 210.510345 \nL 203.391076 213.118876 \nL 204.387041 215.561338 \nL 205.590968 217.835248 \nL 207.042136 219.933485 \nL 208.789343 221.842391 \nL 210.892428 223.539064 \nL 212.099589 224.297194 \nL 213.424101 224.98742 \nL 214.877402 225.602248 \nL 216.471989 226.132521 \nL 218.221491 226.567102 \nL 220.140712 226.892494 \nL 222.245674 227.092393 \nL 224.553625 227.147168 \nL 227.08303 227.033252 \nL 229.853489 226.722467 \nL 232.885614 226.181254 \nL 236.20078 225.369828 \nL 239.820794 224.241304 \nL 243.76735 222.740811 \nL 248.061282 220.804677 \nL 252.721554 218.35984 \nL 257.763852 215.323596 \nL 263.198777 211.604029 \nL 269.029454 207.101412 \nL 275.248558 201.711082 \nL 281.834615 195.328369 \nL 288.747601 187.856224 \nL 295.923892 179.216212 \nL 303.270792 169.363397 \nL 310.661011 158.305123 \nL 317.927954 146.122909 \nL 324.862752 132.995298 \nL 331.214632 119.217746 \nL 336.696231 105.213515 \nL 340.995676 91.528296 \nL 343.796389 78.801396 \nL 344.804549 67.709493 \nL 343.782078 58.885803 \nL 340.580571 52.82679 \nL 335.16952 49.807441 \nL 327.65182 49.829122 \nL 318.261195 52.618157 \nL 307.340266 57.678135 \nL 295.303034 64.381144 \nL 282.589789 72.071453 \nL 256.777448 88.153226 \nL 244.351589 95.730289 \nL 232.568465 102.679747 \nL 221.574971 108.903623 \nL 211.452659 114.382197 \nL 202.230677 119.14624 \nL 193.89901 123.25468 \nL 186.420362 126.778638 \nL 173.793208 132.360811 \nL 163.824769 136.410249 \nL 155.975016 139.321801 \nL 149.761669 141.372332 \nL 144.785559 142.749144 \nL 140.732438 143.578549 \nL 137.364778 143.948249 \nL 134.510323 143.923422 \nL 132.050447 143.557875 \nL 129.90952 142.90164 \nL 128.045522 142.006026 \nL 126.441773 140.926692 \nL 125.099598 139.724951 \nL 124.031602 138.467501 \nL 123.255474 137.22466 \nL 122.788346 136.067278 \nL 122.641803 135.06275 \nL 122.817821 134.270565 \nL 123.305933 133.738178 \nL 124.081824 133.497724 \nL 125.107559 133.564181 \nL 126.333239 133.935151 \nL 127.699861 134.592248 \nL 129.142992 135.503683 \nL 130.596659 136.627581 \nL 131.997 137.91542 \nL 133.28539 139.315191 \nL 134.410638 140.773991 \nL 135.330405 142.239827 \nL 136.011801 143.662882 \nL 136.431354 144.996112 \nL 136.574626 146.195583 \nL 136.435618 147.220606 \nL 136.016214 148.0339 \nL 135.325758 148.601921 \nL 134.380868 148.89545 \nL 133.205499 148.890648 \nL 131.831218 148.570492 \nL 130.297603 147.92665 \nL 128.652573 146.961798 \nL 126.95248 145.692049 \nL 125.261634 144.14924 \nL 123.651043 142.382651 \nL 122.196135 140.459515 \nL 120.973198 138.463739 \nL 120.054703 136.492416 \nL 119.503711 134.649903 \nL 119.367917 133.039895 \nL 119.465058 132.352086 \nL 119.674197 131.756406 \nL 119.994766 131.261648 \nL 120.424498 130.874992 \nL 120.959438 130.601856 \nL 121.593987 130.445787 \nL 122.321012 130.408439 \nL 124.017076 130.687255 \nL 125.965704 131.415909 \nL 128.072246 132.548369 \nL 130.236809 134.021498 \nL 132.361447 135.761945 \nL 134.356118 137.692382 \nL 136.142864 139.736218 \nL 137.658122 141.820651 \nL 138.853312 143.878176 \nL 139.694192 145.846847 \nL 140.159362 147.669863 \nL 140.238541 149.294728 \nL 139.930866 150.672427 \nL 139.633941 151.254069 \nL 139.243621 151.756819 \nL 138.761971 152.175338 \nL 138.191507 152.504466 \nL 137.535214 152.739274 \nL 136.796567 152.875096 \nL 135.08877 152.832827 \nL 133.107166 152.348354 \nL 130.901437 151.402155 \nL 128.533573 149.98872 \nL 126.07931 148.121628 \nL 123.628755 145.83889 \nL 121.285638 143.207809 \nL 119.164509 140.327881 \nL 117.385363 137.330366 \nL 116.065514 134.373023 \nL 115.611205 132.963392 \nL 115.3091 131.629224 \nL 115.168226 130.392012 \nL 115.195318 129.272047 \nL 115.39455 128.287826 \nL 115.767279 127.455479 \nL 116.311896 126.788301 \nL 117.023766 126.296366 \nL 117.895265 125.986291 \nL 118.915921 125.861139 \nL 120.072646 125.920448 \nL 121.350073 126.160441 \nL 122.730946 126.574321 \nL 124.196571 127.152662 \nL 127.302975 128.754721 \nL 130.508956 130.85692 \nL 133.660372 133.337919 \nL 136.620163 136.077052 \nL 139.275175 138.96243 \nL 141.538772 141.894869 \nL 143.350013 144.788469 \nL 144.670528 147.569069 \nL 145.480221 150.171613 \nL 145.691122 151.387562 \nL 145.772817 152.537251 \nL 145.726032 153.613856 \nL 145.551914 154.610605 \nL 145.251967 155.52077 \nL 144.828004 156.337569 \nL 144.282123 157.054188 \nL 143.616698 157.663719 \nL 142.834402 158.159194 \nL 141.938236 158.533568 \nL 140.931586 158.779779 \nL 139.818298 158.890799 \nL 138.602763 158.85972 \nL 137.290035 158.679872 \nL 135.885944 158.344987 \nL 134.397241 157.849358 \nL 132.831731 157.188091 \nL 131.198431 156.357356 \nL 129.507708 155.354713 \nL 127.771428 154.179446 \nL 126.00307 152.832946 \nL 124.217825 151.319101 \nL 122.432672 149.644718 \nL 120.666367 147.819894 \nL 118.939388 145.85837 \nL 117.273825 143.777809 \nL 115.693122 141.59995 \nL 114.221773 139.350629 \nL 112.884878 137.059601 \nL 111.707604 134.760173 \nL 110.71453 132.488548 \nL 109.92891 130.282997 \nL 109.371881 128.182742 \nL 109.061647 126.226694 \nL 109.012659 124.452071 \nL 109.234899 122.89298 \nL 109.733256 121.579034 \nL 110.507085 120.534191 \nL 111.549982 119.775848 \nL 112.849795 119.31425 \nL 114.388888 119.152338 \nL 116.144659 119.285951 \nL 118.090253 119.704411 \nL 120.195446 120.391426 \nL 122.427661 121.326171 \nL 124.753003 122.484517 \nL 127.137308 123.840245 \nL 129.547081 125.366175 \nL 131.950356 127.035203 \nL 134.317369 128.821084 \nL 138.837575 132.646246 \nL 142.929383 136.667573 \nL 144.77317 138.706752 \nL 146.466368 140.745095 \nL 148.000638 142.770031 \nL 149.370115 144.770558 \nL 150.571078 146.737037 \nL 151.601617 148.660924 \nL 152.461302 150.534541 \nL 153.150858 152.350878 \nL 153.671893 154.103403 \nL 154.026632 155.78588 \nL 154.217694 157.392221 \nL 154.247907 158.916351 \nL 154.120161 160.352098 \nL 153.83728 161.693071 \nL 153.401952 162.932577 \nL 152.816663 164.063528 \nL 152.083693 165.078376 \nL 151.205118 165.969043 \nL 150.182842 166.726874 \nL 149.018677 167.342606 \nL 147.71442 167.806336 \nL 146.27199 168.107541 \nL 144.693574 168.235107 \nL 142.981815 168.177418 \nL 141.140013 167.922448 \nL 139.17238 167.457975 \nL 137.084306 166.771821 \nL 134.882673 165.85219 \nL 132.576171 164.688096 \nL 130.175661 163.269919 \nL 127.694536 161.59006 \nL 125.149069 159.643717 \nL 122.558782 157.429782 \nL 119.94672 154.95181 \nL 117.3397 152.219082 \nL 114.768429 149.247649 \nL 112.267468 146.061314 \nL 109.875026 142.69241 \nL 107.632529 139.182346 \nL 105.583863 135.581663 \nL 103.7744 131.949593 \nL 102.24965 128.352901 \nL 101.053666 124.864048 \nL 100.227225 121.558616 \nL 99.805852 118.512095 \nL 99.817819 115.796245 \nL 100.282319 113.475307 \nL 101.207933 111.602457 \nL 102.591541 110.216844 \nL 104.417883 109.341477 \nL 106.659774 108.982429 \nL 109.279022 109.129177 \nL 112.228018 109.756218 \nL 115.451797 110.825599 \nL 118.890484 112.290155 \nL 122.481852 114.096975 \nL 126.163795 116.190756 \nL 129.876583 118.516769 \nL 133.564728 121.023235 \nL 137.178394 123.662982 \nL 140.674325 126.394456 \nL 144.016319 129.182144 \nL 147.175293 131.996468 \nL 150.129027 134.813401 \nL 152.861652 137.61384 \nL 155.362969 140.382892 \nL 157.62768 143.10913 \nL 159.654583 145.783904 \nL 161.445777 148.400708 \nL 163.005898 150.954629 \nL 164.341445 153.441914 \nL 165.460163 155.859578 \nL 166.370514 158.205148 \nL 167.081243 160.476397 \nL 167.601002 162.671177 \nL 167.938064 164.787278 \nL 168.10009 166.822295 \nL 168.093959 168.773533 \nL 167.925643 170.637914 \nL 167.600128 172.41188 \nL 167.121363 174.091338 \nL 166.49224 175.671529 \nL 165.714605 177.146951 \nL 164.789281 178.511251 \nL 163.716116 179.757128 \nL 162.494053 180.87619 \nL 161.121201 181.858841 \nL 159.594953 182.694131 \nL 157.912102 183.369641 \nL 156.068997 183.871334 \nL 154.061715 184.18343 \nL 151.886303 184.288309 \nL 149.539023 184.166432 \nL 147.016682 183.796322 \nL 144.317014 183.154646 \nL 141.439133 182.21637 \nL 138.384066 180.95509 \nL 135.155391 179.343547 \nL 131.75995 177.354398 \nL 128.208676 174.961297 \nL 124.517485 172.140338 \nL 120.708276 168.871905 \nL 116.809893 165.142982 \nL 112.859135 160.949876 \nL 108.901627 156.301355 \nL 104.992472 151.221975 \nL 101.196547 145.755401 \nL 97.588294 139.967358 \nL 94.250832 133.947638 \nL 91.27417 127.810697 \nL 88.752446 121.69414 \nL 86.780128 115.754625 \nL 85.447247 110.160912 \nL 84.833867 105.084149 \nL 85.004223 100.686163 \nL 86.001143 97.106845 \nL 87.841321 94.452343 \nL 90.512262 92.785943 \nL 93.971337 92.123081 \nL 98.147315 92.431484 \nL 102.944258 93.636405 \nL 108.247418 95.630007 \nL 113.930403 98.283246 \nL 119.862734 101.458246 \nL 125.917037 105.019517 \nL 131.97508 108.84271 \nL 137.9323 112.820274 \nL 143.700653 116.864262 \nL 149.20988 120.906501 \nL 154.407383 124.897131 \nL 159.257126 128.802013 \nL 163.737841 132.59973 \nL 167.840869 136.278606 \nL 171.567895 139.834044 \nL 174.92873 143.266291 \nL 177.939291 146.578674 \nL 180.619811 149.776292 \nL 182.993326 152.865091 \nL 185.084432 155.851228 \nL 186.918294 158.740683 \nL 188.519878 161.539049 \nL 189.913385 164.251419 \nL 191.121846 166.882363 \nL 193.068369 171.915731 \nL 194.51251 176.666444 \nL 195.580684 181.156192 \nL 196.374227 185.402756 \nL 197.218362 191.349069 \nL 197.982808 198.552952 \nL 199.246884 210.789853 \nL 199.842104 214.722295 \nL 200.592858 218.333341 \nL 201.564228 221.639468 \nL 202.373529 223.678963 \nL 203.346147 225.587103 \nL 204.517891 227.360737 \nL 205.932143 228.992303 \nL 207.641584 230.467939 \nL 209.710189 231.764684 \nL 212.215521 232.846376 \nL 213.660538 233.290245 \nL 215.251276 233.657664 \nL 217.002402 233.937291 \nL 218.929911 234.115303 \nL 221.051188 234.174898 \nL 223.385044 234.095716 \nL 225.951727 233.853147 \nL 228.772878 233.417553 \nL 231.871417 232.753367 \nL 235.271329 231.818098 \nL 238.997329 230.561251 \nL 243.074335 228.923219 \nL 247.526694 226.83421 \nL 252.377111 224.213359 \nL 257.645155 220.968205 \nL 263.345267 216.994845 \nL 269.484108 212.179198 \nL 276.057225 206.399914 \nL 283.044765 199.533705 \nL 290.406375 191.46391 \nL 298.0752 182.093214 \nL 305.951234 171.361279 \nL 313.894551 159.267501 \nL 321.71922 145.898055 \nL 329.189319 131.454673 \nL 336.018808 116.280138 \nL 341.877634 100.872706 \nL 346.406053 85.879589 \nL 349.239022 72.059819 \nL 350.04018 60.211271 \nL 348.542751 51.065992 \nL 344.591066 45.171501 \nL 338.173985 42.787244 \nL 329.440926 43.828855 \nL 318.693992 47.882105 \nL 306.355858 54.285359 \nL 292.919794 62.25555 \nL 250.880644 88.438039 \nL 237.600827 96.272195 \nL 225.122438 103.243743 \nL 213.575715 109.297263 \nL 203.021558 114.454879 \nL 193.468213 118.783986 \nL 184.88687 122.373505 \nL 177.224782 125.318235 \nL 170.415473 127.70969 \nL 164.38625 129.631367 \nL 159.063384 131.15699 \nL 154.375526 132.350364 \nL 150.255777 133.266149 \nL 143.481191 134.444673 \nL 138.320697 134.990375 \nL 134.446149 135.124542 \nL 131.606182 135.01597 \nL 128.878874 134.677835 \nL 127.329691 134.384878 \nL 127.355794 134.432699 \nL 130.846051 137.435698 \nL 132.24899 139.047147 \nL 133.466583 140.789983 \nL 134.359201 142.528981 \nL 134.723859 143.620443 \nL 134.881382 144.614028 \nL 134.821173 145.475066 \nL 134.540191 146.171839 \nL 134.04259 146.676065 \nL 133.339462 146.963572 \nL 132.448682 147.015137 \nL 131.394859 146.817541 \nL 130.209326 146.364898 \nL 128.930038 145.660108 \nL 127.60131 144.716374 \nL 126.273141 143.558498 \nL 125.000089 142.223776 \nL 123.839441 140.762025 \nL 122.848666 139.234594 \nL 122.082223 137.711913 \nL 121.587774 136.269727 \nL 121.402302 134.984029 \nL 121.548477 133.925335 \nL 122.031786 133.152928 \nL 122.396479 132.888304 \nL 123.354906 132.620293 \nL 124.583222 132.709769 \nL 126.025817 133.150054 \nL 127.615928 133.916158 \nL 129.280442 134.968225 \nL 130.944794 136.25574 \nL 132.537457 137.721764 \nL 133.993548 139.306645 \nL 135.257294 140.950862 \nL 136.283401 142.596913 \nL 137.037429 144.190426 \nL 137.4955 145.680535 \nL 137.643569 147.019956 \nL 137.47653 148.16486 \nL 136.997462 149.074812 \nL 136.217074 149.712948 \nL 135.153529 150.046546 \nL 133.8326 150.048081 \nL 132.288164 149.696846 \nL 130.562856 148.981233 \nL 128.708787 147.901489 \nL 126.787932 146.472856 \nL 124.871942 144.728673 \nL 123.041057 142.722833 \nL 121.381623 140.530944 \nL 119.98214 138.24929 \nL 118.927704 135.990936 \nL 118.293186 133.878682 \nL 118.152174 132.915997 \nL 118.135832 132.03524 \nL 118.247416 131.249852 \nL 118.488296 130.571852 \nL 118.857861 130.011523 \nL 119.353437 129.577149 \nL 119.970333 129.274836 \nL 120.70187 129.108395 \nL 121.539529 129.07932 \nL 122.473118 129.186835 \nL 124.580341 129.797961 \nL 126.917888 130.896246 \nL 129.370473 132.412931 \nL 131.822446 134.264979 \nL 134.165773 136.363442 \nL 136.305907 138.619988 \nL 138.165174 140.951178 \nL 139.683856 143.280526 \nL 140.819467 145.538905 \nL 141.544871 147.66385 \nL 141.845876 149.598261 \nL 141.71885 151.28902 \nL 141.496078 152.027226 \nL 141.168744 152.685823 \nL 140.738594 153.258825 \nL 140.207803 153.740364 \nL 139.578954 154.1247 \nL 138.855086 154.406228 \nL 138.039708 154.57956 \nL 137.136846 154.639561 \nL 136.151093 154.581419 \nL 135.087686 154.40077 \nL 132.752449 153.657455 \nL 130.188517 152.388695 \nL 127.468236 150.590712 \nL 124.680861 148.283573 \nL 121.933434 145.518299 \nL 119.349613 142.382933 \nL 117.065683 139.005833 \nL 115.223083 135.553935 \nL 114.51021 133.860686 \nL 113.957249 132.224094 \nL 113.577877 130.670778 \nL 113.383564 129.226801 \nL 113.383119 127.916924 \nL 113.582283 126.763772 \nL 113.983398 125.787108 \nL 114.585186 125.003179 \nL 115.382651 124.424207 \nL 116.367106 124.058063 \nL 117.526321 123.908152 \nL 118.84486 123.973457 \nL 120.304463 124.248837 \nL 121.884569 124.725412 \nL 123.562888 125.391148 \nL 125.316023 126.23147 \nL 128.951246 128.368816 \nL 132.603324 130.99472 \nL 136.102238 133.964405 \nL 139.305439 137.143414 \nL 142.102785 140.414082 \nL 144.416504 143.676946 \nL 146.197603 146.848876 \nL 147.420425 149.859568 \nL 147.819357 151.285003 \nL 148.076626 152.647554 \nL 148.192987 153.940289 \nL 148.169646 155.156392 \nL 148.008143 156.289065 \nL 147.710283 157.33147 \nL 147.278069 158.276637 \nL 146.713673 159.117453 \nL 146.019421 159.846601 \nL 145.197814 160.456533 \nL 144.251561 160.939505 \nL 143.183641 161.287559 \nL 141.997384 161.492575 \nL 140.696582 161.546341 \nL 139.285614 161.440677 \nL 137.769587 161.167541 \nL 136.15451 160.719239 \nL 134.447467 160.088659 \nL 132.656817 159.269548 \nL 130.792389 158.256867 \nL 128.865681 157.047178 \nL 126.890053 155.639107 \nL 124.880906 154.033859 \nL 122.855814 152.235748 \nL 120.834623 150.252722 \nL 118.839458 148.096945 \nL 116.894699 145.785226 \nL 115.026762 143.339426 \nL 113.263859 140.786665 \nL 111.635531 138.159336 \nL 110.172074 135.494839 \nL 108.903811 132.835024 \nL 107.860209 130.225265 \nL 107.068888 127.713229 \nL 106.554573 125.34731 \nL 106.337971 123.174833 \nL 106.434753 121.240132 \nL 106.854608 119.582644 \nL 107.600534 118.235138 \nL 108.668354 117.222286 \nL 110.046569 116.559697 \nL 111.716545 116.253443 \nL 113.65306 116.300198 \nL 115.825162 116.687936 \nL 118.197278 117.397042 \nL 120.73051 118.401851 \nL 123.384005 119.672257 \nL 126.116377 121.175466 \nL 128.886957 122.87756 \nL 131.65694 124.744909 \nL 134.390334 126.745273 \nL 137.054633 128.848632 \nL 139.621284 131.02771 \nL 142.065925 133.258217 \nL 144.368408 135.518907 \nL 146.512675 137.791453 \nL 148.486487 140.060212 \nL 150.281068 142.311904 \nL 151.890697 144.535298 \nL 153.312253 146.720858 \nL 154.544775 148.860422 \nL 155.589028 150.946885 \nL 156.447093 152.973953 \nL 157.121999 154.935887 \nL 157.617402 156.827295 \nL 157.937293 158.642976 \nL 158.085779 160.377744 \nL 158.066874 162.026302 \nL 157.884359 163.583107 \nL 157.541671 165.042282 \nL 157.041832 166.397498 \nL 156.387398 167.641891 \nL 155.580462 168.767981 \nL 154.622667 169.76757 \nL 153.515259 170.631688 \nL 152.259163 171.350524 \nL 150.855086 171.913377 \nL 149.303662 172.308613 \nL 147.60561 172.523685 \nL 145.76193 172.545135 \nL 143.774155 172.358685 \nL 141.644613 171.949386 \nL 139.376737 171.301799 \nL 136.975439 170.400351 \nL 134.447482 169.229724 \nL 131.801951 167.775428 \nL 129.050686 166.024549 \nL 126.208791 163.966598 \nL 123.295146 161.594606 \nL 120.332857 158.906364 \nL 117.349706 155.905822 \nL 114.378445 152.604561 \nL 111.457024 149.023289 \nL 108.628522 145.193265 \nL 105.940871 141.157397 \nL 103.446185 136.970918 \nL 101.19975 132.701377 \nL 99.2585 128.427776 \nL 97.67913 124.238645 \nL 96.515762 120.229012 \nL 95.817307 116.496327 \nL 95.62471 113.135518 \nL 95.968218 110.233543 \nL 96.865016 107.864059 \nL 98.317364 106.082672 \nL 100.31161 104.923568 \nL 102.81814 104.397628 \nL 105.792366 104.492742 \nL 109.176709 105.175783 \nL 112.903373 106.396312 \nL 116.897679 108.091267 \nL 121.081641 110.190131 \nL 125.377454 112.61983 \nL 129.710594 115.309061 \nL 134.012403 118.191564 \nL 138.221962 121.208388 \nL 142.287272 124.309025 \nL 146.165789 127.451726 \nL 149.82436 130.603093 \nL 153.238748 133.737265 \nL 156.392837 136.834866 \nL 159.277614 139.881839 \nL 161.890081 142.868378 \nL 164.23216 145.787904 \nL 166.309612 148.63625 \nL 168.131075 151.410931 \nL 169.707187 154.110627 \nL 171.049838 156.734749 \nL 172.171537 159.2831 \nL 173.084894 161.755682 \nL 173.802203 164.15251 \nL 174.335123 166.473482 \nL 174.694427 168.718317 \nL 174.889829 170.88647 \nL 174.929862 172.97707 \nL 174.821805 174.988871 \nL 174.571635 176.92022 \nL 174.184019 178.768984 \nL 173.662318 180.532469 \nL 173.008615 182.207381 \nL 172.223745 183.789721 \nL 171.307341 185.274679 \nL 170.257886 186.656548 \nL 169.072768 187.928566 \nL 167.74835 189.082784 \nL 166.280035 190.1099 \nL 164.662362 190.999084 \nL 162.8891 191.737776 \nL 160.95337 192.311473 \nL 158.847798 192.703518 \nL 156.564691 192.89488 \nL 154.09628 192.863942 \nL 151.435 192.586332 \nL 148.573852 192.034797 \nL 145.506856 191.179162 \nL 142.229588 189.986428 \nL 138.739867 188.421064 \nL 135.038563 186.445562 \nL 131.130557 184.021322 \nL 127.02587 181.110042 \nL 122.740944 177.675595 \nL 118.300058 173.686653 \nL 113.736855 169.120009 \nL 109.095887 163.96467 \nL 104.434041 158.226717 \nL 99.821727 151.93462 \nL 95.343537 145.144718 \nL 91.098152 137.946141 \nL 87.197164 130.464362 \nL 83.762477 122.862242 \nL 80.922107 115.337445 \nL 78.804203 108.115233 \nL 77.529443 101.43619 \nL 77.202293 95.539208 \nL 77.90182 90.641381 \nL 79.67322 86.917226 \nL 82.521328 84.480738 \nL 86.407184 83.373711 \nL 91.248618 83.562676 \nL 96.924922 84.945305 \nL 103.285222 87.365041 \nL 110.159394 90.630856 \nL 117.369963 94.538553 \nL 124.743472 98.889869 \nL 132.120045 103.506977 \nL 139.360342 108.24129 \nL 146.349625 112.976864 \nL 152.999227 117.629436 \nL 159.245852 122.142749 \nL 165.049373 126.483344 \nL 170.389732 130.635178 \nL 175.263462 134.594559 \nL 179.680202 138.365956 \nL 183.659471 141.958699 \nL 187.227831 145.384558 \nL 190.416489 148.656054 \nL 193.259361 151.785424 \nL 195.79154 154.783954 \nL 198.048137 157.661681 \nL 201.870309 163.088075 \nL 204.981037 168.118313 \nL 208.794082 174.99427 \nL 212.122817 181.115629 \nL 214.31567 184.780858 \nL 216.627644 188.100388 \nL 217.861534 189.623299 \nL 219.163983 191.0494 \nL 220.547036 192.37323 \nL 222.022558 193.588156 \nL 223.602338 194.686203 \nL 225.298174 195.657873 \nL 227.121933 196.491934 \nL 229.085584 197.175193 \nL 231.201188 197.692233 \nL 233.480847 198.025153 \nL 235.936616 198.153269 \nL 238.580339 198.052854 \nL 241.423417 197.696864 \nL 244.476477 197.05474 \nL 247.748945 196.092277 \nL 251.248481 194.771632 \nL 254.98027 193.051559 \nL 258.946121 190.887919 \nL 263.143383 188.234624 \nL 267.563644 185.045099 \nL 272.191227 181.274479 \nL 277.001448 176.882591 \nL 281.958772 171.837982 \nL 287.01483 166.122938 \nL 292.106561 159.739564 \nL 297.154613 152.716613 \nL 302.06232 145.116642 \nL 306.715593 137.04262 \nL 310.984192 128.642856 \nL 314.724808 120.112661 \nL 317.786245 111.691174 \nL 320.016951 103.651917 \nL 321.274687 96.286404 \nL 321.437771 89.881341 \nL 320.416787 84.691759 \nL 318.165196 80.913906 \nL 314.687182 78.662785 \nL 310.041088 77.959121 \nL 304.337478 78.728918 \nL 297.731754 80.815739 \nL 290.412214 84.003362 \nL 282.585406 88.043733 \nL 274.460885 92.684739 \nL 266.237505 97.693203 \nL 258.092703 102.870265 \nL 242.603315 113.144507 \nL 228.806995 122.733388 \nL 217.057849 131.362254 \nL 211.964344 135.312961 \nL 207.368037 139.037901 \nL 203.238976 142.554217 \nL 199.541175 145.879735 \nL 196.235103 149.031494 \nL 193.279624 152.024923 \nL 188.256236 157.588333 \nL 184.155807 162.652234 \nL 179.126914 169.417802 \nL 174.753431 175.243935 \nL 171.891705 178.597853 \nL 170.419498 180.106572 \nL 168.897473 181.49645 \nL 167.310347 182.760954 \nL 165.643775 183.892229 \nL 163.884223 184.880962 \nL 162.018884 185.716251 \nL 160.035622 186.385476 \nL 157.922951 186.874128 \nL 155.670088 187.165669 \nL 153.267042 187.241405 \nL 150.704762 187.080406 \nL 147.975386 186.659422 \nL 145.072543 185.952961 \nL 141.991779 184.933414 \nL 138.73106 183.5714 \nL 135.291419 181.836299 \nL 131.677695 179.697068 \nL 127.899438 177.123437 \nL 123.971887 174.087517 \nL 119.917054 170.565905 \nL 115.764904 166.542344 \nL 111.554456 162.010916 \nL 107.334861 156.979714 \nL 103.166161 151.474846 \nL 99.11974 145.544431 \nL 95.278092 139.262159 \nL 91.73382 132.729821 \nL 88.587607 126.078002 \nL 85.944945 119.464273 \nL 83.911648 113.068106 \nL 82.588145 107.082305 \nL 82.062942 101.700994 \nL 82.405653 97.105292 \nL 83.66047 93.44802 \nL 85.840808 90.839881 \nL 88.92605 89.339248 \nL 92.860972 88.947501 \nL 97.558176 89.610823 \nL 102.903391 91.228217 \nL 108.762929 93.664124 \nL 114.992446 96.763439 \nL 121.445873 100.366332 \nL 127.983494 104.320902 \nL 134.478462 108.492294 \nL 140.821351 112.767959 \nL 146.922651 117.059385 \nL 152.71345 121.301113 \nL 158.144662 125.447984 \nL 163.185248 129.471553 \nL 167.819811 133.356324 \nL 172.045956 137.09625 \nL 175.871632 140.691764 \nL 179.312671 144.147398 \nL 182.390584 147.470024 \nL 185.130687 150.667574 \nL 187.560558 153.748211 \nL 189.708802 156.719781 \nL 191.604092 159.589542 \nL 193.274463 162.36401 \nL 196.046491 167.64932 \nL 198.220955 172.61322 \nL 199.965865 177.283703 \nL 202.077261 183.783299 \nL 205.105057 193.374278 \nL 206.374342 196.79719 \nL 207.773757 199.985926 \nL 209.362837 202.935121 \nL 211.202121 205.632565 \nL 212.23556 206.880621 \nL 213.356281 208.056809 \nL 214.573474 209.156442 \nL 215.896917 210.173763 \nL 217.337051 211.101748 \nL 218.90504 211.931887 \nL 220.612816 212.653926 \nL 222.47312 213.255564 \nL 224.499519 213.722105 \nL 226.706395 214.036073 \nL 229.108901 214.17676 \nL 231.72287 214.119737 \nL 234.564665 213.836327 \nL 237.650933 213.293044 \nL 240.998279 212.451025 \nL 244.622771 211.265532 \nL 248.539308 209.685525 \nL 252.760743 207.653458 \nL 257.296751 205.10541 \nL 262.152401 201.971698 \nL 267.326318 198.178292 \nL 272.808469 193.649235 \nL 278.577493 188.310479 \nL 284.597603 182.095465 \nL 290.815129 174.952837 \nL 297.154897 166.856453 \nL 303.516676 157.817597 \nL 309.77228 147.898905 \nL 315.763882 137.22854 \nL 321.304483 126.012526 \nL 326.181482 114.541805 \nL 330.164334 103.190233 \nL 333.016901 92.399415 \nL 334.51456 82.64806 \nL 334.464974 74.406361 \nL 332.730311 68.080446 \nL 329.247409 63.956766 \nL 324.041865 62.15897 \nL 317.232503 62.628875 \nL 309.024163 65.137943 \nL 299.689454 69.326903 \nL 289.542576 74.763276 \nL 278.910037 81.002418 \nL 257.398532 94.33862 \nL 227.885119 112.75102 \nL 197.899849 130.999369 \nL 182.327287 140.630962 \nL 171.182156 147.889037 \nL 158.506784 156.291974 \nL 154.503353 158.566524 \nL 152.602448 159.477473 \nL 150.73709 160.234519 \nL 148.887576 160.833875 \nL 147.037207 161.2708 \nL 145.172125 161.539774 \nL 143.281188 161.634691 \nL 141.355867 161.549079 \nL 139.390195 161.276318 \nL 137.380741 160.809909 \nL 135.326624 160.143789 \nL 133.229548 159.272687 \nL 131.093881 158.192525 \nL 128.926713 156.900925 \nL 126.73797 155.397698 \nL 124.540462 153.685456 \nL 122.349942 151.770192 \nL 120.185119 149.661886 \nL 118.067567 147.375123 \nL 116.021598 144.929553 \nL 114.073989 142.35031 \nL 112.253554 139.668166 \nL 110.590635 136.919489 \nL 109.116343 134.145865 \nL 107.861718 131.393342 \nL 106.856685 128.711343 \nL 106.12894 126.151162 \nL 105.702764 123.764168 \nL 105.597815 121.599768 \nL 105.828038 119.703293 \nL 106.400689 118.11396 \nL 107.315676 116.863051 \nL 108.565137 115.972571 \nL 110.133444 115.454409 \nL 111.99758 115.310135 \nL 114.12785 115.531442 \nL 116.488963 116.101169 \nL 119.041341 116.994753 \nL 121.742584 118.182003 \nL 124.548974 119.628973 \nL 127.416934 121.299783 \nL 130.304361 123.158279 \nL 133.17173 125.169389 \nL 135.982982 127.300168 \nL 138.706118 129.5205 \nL 141.313563 131.803494 \nL 143.782284 134.125592 \nL 146.09372 136.466505 \nL 148.23354 138.808987 \nL 150.191281 141.138514 \nL 151.959939 143.442915 \nL 153.535474 145.711998 \nL 154.916332 147.937166 \nL 156.102968 150.111101 \nL 157.097394 152.22744 \nL 157.902762 154.280513 \nL 158.522992 156.265116 \nL 158.962457 158.176303 \nL 159.225714 160.009221 \nL 159.31727 161.758965 \nL 159.241409 163.420444 \nL 159.002056 164.98826 \nL 158.60268 166.45662 \nL 158.046234 167.819215 \nL 157.335122 169.069143 \nL 156.471208 170.198806 \nL 155.455843 171.199845 \nL 154.289923 172.063033 \nL 152.973982 172.778228 \nL 151.508303 173.334317 \nL 149.893054 173.719156 \nL 148.12848 173.919567 \nL 146.21511 173.921375 \nL 144.154002 173.709467 \nL 141.947036 173.267912 \nL 139.597246 172.580214 \nL 137.109203 171.629597 \nL 134.489433 170.399473 \nL 131.746902 168.874029 \nL 128.893515 167.039004 \nL 125.944642 164.88263 \nL 122.919689 162.396821 \nL 119.842607 159.578497 \nL 116.742379 156.431139 \nL 113.653382 152.966431 \nL 110.615619 149.205926 \nL 107.674706 145.182612 \nL 104.88157 140.942188 \nL 102.291735 136.543836 \nL 99.96421 132.060229 \nL 97.959866 127.576571 \nL 96.33933 123.188462 \nL 95.160402 118.998487 \nL 94.475156 115.111618 \nL 94.326904 111.629647 \nL 94.747173 108.645148 \nL 95.753134 106.235475 \nL 97.345613 104.457671 \nL 99.508084 103.344776 \nL 102.206745 102.904158 \nL 105.391764 103.118045 \nL 108.999573 103.946213 \nL 112.956092 105.330326 \nL 117.180461 107.199406 \nL 121.589 109.475584 \nL 126.098985 112.079544 \nL 130.631986 114.935105 \nL 135.116528 117.972603 \nL 139.489961 121.131031 \nL 143.699573 124.359021 \nL 147.70297 127.614883 \nL 151.467873 130.86596 \nL 154.97145 134.087588 \nL 158.199354 137.261812 \nL 161.144577 140.376086 \nL 163.806217 143.422096 \nL 166.188298 146.394672 \nL 168.298619 149.290924 \nL 170.147735 152.109521 \nL 171.748055 154.850155 \nL 173.113079 157.513126 \nL 174.256753 160.099038 \nL 175.192964 162.608609 \nL 175.935129 165.042503 \nL 176.495886 167.401241 \nL 176.886863 169.685139 \nL 177.118521 171.894221 \nL 177.200044 174.028233 \nL 177.13928 176.08656 \nL 176.942708 178.068203 \nL 176.615441 179.97174 \nL 176.161241 181.795267 \nL 175.582541 183.536355 \nL 174.880495 185.19194 \nL 174.055011 186.758289 \nL 173.104808 188.230846 \nL 172.027461 189.604161 \nL 170.819456 190.871727 \nL 169.476249 192.025842 \nL 167.992331 193.057431 \nL 166.361299 193.95586 \nL 164.57594 194.708706 \nL 162.628338 195.301542 \nL 160.510009 195.717681 \nL 158.212057 195.93793 \nL 155.725397 195.940327 \nL 153.041006 195.699916 \nL 150.15028 195.188539 \nL 147.045455 194.374733 \nL 143.720152 193.223723 \nL 140.170035 191.697596 \nL 136.39364 189.755744 \nL 132.393357 187.355641 \nL 128.176612 184.454093 \nL 123.757217 181.009095 \nL 119.156924 176.982396 \nL 114.407115 172.342907 \nL 109.550565 167.071039 \nL 104.643195 161.163959 \nL 99.755577 154.641599 \nL 94.974033 147.553035 \nL 90.400962 139.982642 \nL 86.154037 132.055035 \nL 82.36392 123.937568 \nL 79.170159 115.838941 \nL 76.715007 108.002687 \nL 75.135247 100.694624 \nL 74.552429 94.184333 \nL 75.062293 88.722203 \nL 76.724646 84.51482 \nL 79.555109 81.70279 \nL 83.520316 80.345168 \nL 88.537569 80.414013 \nL 94.479462 81.800377 \nL 101.182986 84.330563 \nL 108.461851 87.789249 \nL 116.120226 91.944743 \nL 123.966042 96.571984 \nL 131.822154 101.46993 \nL 139.534497 106.471997 \nL 154.05228 116.312241 \nL 166.855346 125.479618 \nL 172.520375 129.737526 \nL 177.685723 133.773214 \nL 182.36366 137.594837 \nL 186.577038 141.215359 \nL 190.35612 144.649875 \nL 193.735949 147.913788 \nL 196.754235 151.021692 \nL 199.449721 153.986754 \nL 204.025396 159.532296 \nL 207.755083 164.620931 \nL 212.323884 171.490338 \nL 216.296403 177.497947 \nL 218.89929 181.021411 \nL 221.629217 184.136154 \nL 223.079884 185.52906 \nL 224.606349 186.804106 \nL 226.221843 187.953513 \nL 227.939129 188.968054 \nL 229.770575 189.836862 \nL 231.72821 190.547272 \nL 233.823731 191.084615 \nL 236.068461 191.432021 \nL 238.473268 191.570222 \nL 241.048401 191.477386 \nL 243.803267 191.128965 \nL 246.74613 190.497634 \nL 249.883682 189.553312 \nL 253.220535 188.263358 \nL 256.758551 186.592932 \nL 260.496048 184.505709 \nL 264.426855 181.964889 \nL 268.539188 178.934734 \nL 272.814414 175.382657 \nL 277.225665 171.281953 \nL 281.736417 166.615274 \nL 286.299068 161.378792 \nL 290.853698 155.586962 \nL 295.32713 149.277636 \nL 299.63262 142.517032 \nL 303.670314 135.403956 \nL 307.328919 128.072268 \nL 310.488717 120.690661 \nL 313.026208 113.458659 \nL 314.82034 106.598105 \nL 315.760158 100.340012 \nL 315.753286 94.907374 \nL 314.734438 90.495879 \nL 312.672886 87.255053 \nL 309.577691 85.27312 \nL 305.499751 84.5685 \nL 300.53 85.089681 \nL 294.79386 86.723655 \nL 288.442508 89.311256 \nL 281.64221 92.6663 \nL 274.563113 96.59508 \nL 267.368924 100.913252 \nL 260.208512 105.458003 \nL 253.21005 110.094949 \nL 246.477806 114.720348 \nL 240.091272 119.259555 \nL 234.106187 123.663178 \nL 228.556827 127.902271 \nL 223.459037 131.96329 \nL 218.813526 135.843601 \nL 214.609112 139.547705 \nL 210.825721 143.084328 \nL 207.436992 146.464293 \nL 204.412467 149.699046 \nL 201.719373 152.799735 \nL 199.324011 155.776652 \nL 197.192811 158.638985 \nL 193.593636 164.050539 \nL 190.679498 169.084248 \nL 188.238418 173.773886 \nL 183.091364 184.105476 \nL 181.061185 187.69149 \nL 178.882842 190.952124 \nL 177.70825 192.453636 \nL 176.461479 193.864039 \nL 175.131299 195.178189 \nL 173.706485 196.389823 \nL 172.17572 197.491379 \nL 170.527515 198.473804 \nL 168.750148 199.326352 \nL 166.83163 200.036319 \nL 164.759707 200.588788 \nL 162.521891 200.966322 \nL 160.105541 201.14866 \nL 157.498 201.112387 \nL 154.686802 200.830606 \nL 151.659976 200.272662 \nL 148.406427 199.403896 \nL 144.916484 198.185542 \nL 141.182569 196.574779 \nL 137.200054 194.525076 \nL 132.968353 191.986886 \nL 128.492201 188.908889 \nL 123.783228 185.239924 \nL 118.86173 180.931764 \nL 113.758714 175.942993 \nL 108.518049 170.244009 \nL 103.198707 163.823313 \nL 97.876784 156.694902 \nL 92.647098 148.906392 \nL 87.623977 140.547115 \nL 82.940724 131.755033 \nL 78.747285 122.720817 \nL 75.205641 113.687181 \nL 72.48254 104.94153 \nL 70.739587 96.800659 \nL 70.121143 89.587369 \nL 70.741028 83.600817 \nL 72.669675 79.084571 \nL 75.923717 76.197811 \nL 80.46002 74.995943 \nL 86.175666 75.424996 \nL 92.914427 77.331654 \nL 100.478947 80.486833 \nL 108.646864 84.617268 \nL 117.18823 89.438694 \nL 125.881794 94.68426 \nL 134.528082 100.124402 \nL 151.038298 110.909727 \nL 165.788307 120.900505 \nL 178.3655 129.787888 \nL 188.743836 137.591221 \nL 193.168121 141.130881 \nL 197.132085 144.457464 \nL 200.678525 147.591116 \nL 206.697139 153.349308 \nL 211.57523 158.51912 \nL 217.452253 165.323384 \nL 222.403761 171.07778 \nL 225.55048 174.329506 \nL 227.143336 175.770822 \nL 228.774091 177.082089 \nL 230.459472 178.256418 \nL 232.214852 179.285551 \nL 234.05436 180.159792 \nL 235.990979 180.8679 \nL 238.036588 181.397012 \nL 240.201967 181.732571 \nL 242.496742 181.858244 \nL 244.929262 181.755923 \nL 247.506433 181.40572 \nL 250.233449 180.786117 \nL 253.113464 179.874136 \nL 256.147159 178.645726 \nL 259.332231 177.076315 \nL 262.662794 175.141572 \nL 266.128649 172.818484 \nL 269.714546 170.086737 \nL 273.399324 166.930475 \nL 277.155079 163.340444 \nL 280.946322 159.316508 \nL 284.729329 154.870411 \nL 288.451618 150.028738 \nL 292.051834 144.835727 \nL 295.460097 139.355712 \nL 298.598978 133.674621 \nL 301.385249 127.900199 \nL 303.732518 122.160292 \nL 305.554761 116.598912 \nL 306.770626 111.369876 \nL 307.308402 106.628092 \nL 307.111154 102.51932 \nL 306.141609 99.169205 \nL 304.386183 96.673221 \nL 301.857595 95.088851 \nL 298.595576 94.431379 \nL 294.665482 94.673957 \nL 290.15486 95.752054 \nL 285.168285 97.571377 \nL 279.821109 100.017928 \nL 274.232791 102.968739 \nL 268.52057 106.301642 \nL 262.793999 109.903067 \nL 257.150821 113.673347 \nL 251.674236 117.529512 \nL 246.431598 121.405924 \nL 241.474298 125.253236 \nL 236.838597 129.036412 \nL 232.547101 132.732243 \nL 228.61059 136.326802 \nL 225.030033 139.813071 \nL 221.798562 143.188951 \nL 218.903325 146.455594 \nL 216.327143 149.61618 \nL 214.049928 152.675017 \nL 212.049874 155.636881 \nL 210.304424 158.506617 \nL 208.791022 161.288881 \nL 207.487686 163.988005 \nL 206.373431 166.607939 \nL 205.428562 169.152248 \nL 203.975664 174.026357 \nL 203.002333 178.63196 \nL 202.40734 182.986576 \nL 202.113223 187.104679 \nL 202.063525 190.998538 \nL 202.219783 194.67862 \nL 202.558718 198.153806 \nL 203.0699 201.431348 \nL 203.753976 204.516638 \nL 204.621504 207.412783 \nL 205.692345 210.119912 \nL 206.995601 212.634182 \nL 208.570029 214.946276 \nL 210.464899 217.039276 \nL 211.551074 217.995522 \nL 212.741246 218.885593 \nL 214.045135 219.703646 \nL 215.473397 220.442534 \nL 217.037682 221.093541 \nL 218.750674 221.646095 \nL 220.62614 222.087429 \nL 222.678954 222.402169 \nL 224.925096 222.571876 \nL 227.381629 222.574499 \nL 230.066624 222.383785 \nL 232.999017 221.968596 \nL 236.198398 221.292178 \nL 239.684667 220.311411 \nL 243.47755 218.97605 \nL 247.595905 217.228041 \nL 252.05681 215.001048 \nL 256.874294 212.22029 \nL 262.057719 208.802942 \nL 267.609675 204.659419 \nL 273.523342 199.695877 \nL 279.779276 193.818461 \nL 286.341567 186.939817 \nL 293.153457 178.98844 \nL 300.132578 169.921209 \nL 307.166172 159.739215 \nL 314.106907 148.506304 \nL 320.770109 136.368645 \nL 326.933698 123.572294 \nL 332.342113 110.474091 \nL 336.715753 97.540042 \nL 339.766955 85.32518 \nL 341.222475 74.430958 \nL 340.851332 65.441109 \nL 338.494302 58.843841 \nL 334.090383 54.955897 \nL 327.693912 53.867804 \nL 319.477551 55.427287 \nL 309.718841 59.267827 \nL 298.772031 64.87522 \nL 287.030743 71.673377 \nL 274.889022 79.106626 \nL 250.792562 94.094387 \nL 239.379904 101.044733 \nL 228.637927 107.413036 \nL 218.671223 113.142017 \nL 209.531075 118.231206 \nL 193.737384 126.64824 \nL 181.018956 133.10115 \nL 166.67301 140.071871 \nL 156.480532 144.757611 \nL 151.253593 146.942037 \nL 146.875126 148.501835 \nL 143.083197 149.495958 \nL 141.34416 149.791926 \nL 139.683807 149.957641 \nL 138.086999 149.995245 \nL 136.541715 149.906639 \nL 135.038824 149.693742 \nL 133.571861 149.358703 \nL 132.136832 148.904149 \nL 130.732008 148.333382 \nL 128.016423 146.860885 \nL 125.450293 144.988018 \nL 123.084122 142.782978 \nL 120.987572 140.338175 \nL 119.242121 137.770114 \nL 117.932332 135.215442 \nL 117.135832 132.822649 \nL 116.949839 131.733685 \nL 116.912834 130.739981 \nL 117.028018 129.857646 \nL 117.296412 129.100966 \nL 117.716697 128.482011 \nL 118.285141 128.010323 \nL 118.995609 127.692692 \nL 119.839626 127.533049 \nL 120.806551 127.532435 \nL 121.883787 127.689118 \nL 123.057092 127.998783 \nL 125.628655 129.048506 \nL 128.387459 130.606845 \nL 131.196202 132.579107 \nL 133.92475 134.861964 \nL 136.458162 137.352516 \nL 138.701601 139.954266 \nL 140.582076 142.580085 \nL 142.047682 145.152727 \nL 143.065173 147.603773 \nL 143.616701 149.871815 \nL 143.696505 151.900325 \nL 143.560293 152.807965 \nL 143.308042 153.635809 \nL 142.941282 154.377384 \nL 142.461918 155.026276 \nL 141.872216 155.576079 \nL 141.174815 156.020441 \nL 140.372745 156.353049 \nL 139.469485 156.567694 \nL 138.468995 156.658322 \nL 137.375811 156.619123 \nL 136.195116 156.444632 \nL 134.932833 156.129874 \nL 133.595738 155.670528 \nL 132.191559 155.063112 \nL 130.729089 154.30523 \nL 127.670418 152.335399 \nL 124.51508 149.773495 \nL 121.38052 146.667229 \nL 118.406041 143.108439 \nL 117.02752 141.201679 \nL 115.749106 139.23902 \nL 114.591967 137.246016 \nL 113.577126 135.25088 \nL 112.724904 133.283948 \nL 112.054337 131.376975 \nL 111.582582 129.562283 \nL 111.324263 127.871789 \nL 111.290867 126.335948 \nL 111.490183 124.982693 \nL 111.925883 123.836416 \nL 112.597154 122.917091 \nL 113.498564 122.239594 \nL 114.620062 121.813237 \nL 115.947204 121.641619 \nL 117.461496 121.722737 \nL 119.140957 122.049366 \nL 120.960787 122.60966 \nL 122.894115 123.387935 \nL 124.912801 124.365537 \nL 126.988252 125.521733 \nL 129.09215 126.834613 \nL 133.277487 129.841373 \nL 137.271265 133.213457 \nL 140.912226 136.796469 \nL 144.08029 140.460419 \nL 146.695075 144.099764 \nL 147.779394 145.883052 \nL 148.710279 147.629726 \nL 149.486004 149.331555 \nL 150.105985 150.980932 \nL 150.57055 152.57071 \nL 150.88073 154.094047 \nL 151.038064 155.544309 \nL 151.04445 156.914921 \nL 150.902014 158.199263 \nL 150.612995 159.390598 \nL 150.179686 160.481983 \nL 149.604384 161.466195 \nL 148.889384 162.335677 \nL 148.036974 163.082497 \nL 147.049485 163.698331 \nL 145.929355 164.174437 \nL 144.679216 164.501698 \nL 143.302009 164.670637 \nL 141.801132 164.671507 \nL 140.1806 164.494405 \nL 138.445244 164.12943 \nL 136.600921 163.566919 \nL 134.654759 162.797711 \nL 132.615406 161.813516 \nL 130.493304 160.607357 \nL 128.300952 159.174068 \nL 126.053169 157.510917 \nL 123.767353 155.618254 \nL 121.463686 153.50026 \nL 119.165268 151.165693 \nL 116.898192 148.628642 \nL 114.691483 145.90921 \nL 112.576912 143.03405 \nL 110.588627 140.036715 \nL 108.762592 136.957681 \nL 107.135828 133.843995 \nL 105.745416 130.748467 \nL 104.627305 127.728385 \nL 103.814984 124.843707 \nL 103.338034 122.154834 \nL 103.220643 119.720053 \nL 103.480225 117.592847 \nL 104.126236 115.819256 \nL 105.159273 114.435604 \nL 106.57057 113.466744 \nL 108.342009 112.92506 \nL 110.446566 112.810245 \nL 112.849274 113.109999 \nL 115.508562 113.801433 \nL 118.377946 114.853057 \nL 121.407864 116.227106 \nL 124.547542 117.881958 \nL 127.746811 119.774484 \nL 130.957673 121.862005 \nL 134.135632 124.103932 \nL 137.240645 126.462909 \nL 140.23779 128.905528 \nL 143.097574 131.402638 \nL 145.795978 133.929343 \nL 148.31427 136.464774 \nL 150.638627 138.991692 \nL 152.759645 141.496026 \nL 154.67177 143.966356 \nL 156.372695 146.393444 \nL 157.862769 148.769786 \nL 159.144424 151.089172 \nL 160.22163 153.346383 \nL 161.099443 155.536864 \nL 161.783566 157.656496 \nL 162.280007 159.701372 \nL 162.594784 161.667638 \nL 162.733673 163.551354 \nL 162.702035 165.348339 \nL 162.50466 167.054083 \nL 162.145676 168.663639 \nL 161.62848 170.171522 \nL 160.955707 171.571601 \nL 160.129235 172.857009 \nL 159.150205 174.020054 \nL 158.019073 175.052104 \nL 156.735686 175.943505 \nL 155.299393 176.683468 \nL 153.709159 177.260001 \nL 151.963739 177.659842 \nL 150.061862 177.868381 \nL 148.002458 177.869669 \nL 145.784934 177.646443 \nL 143.409497 177.180248 \nL 140.877522 176.451586 \nL 138.191982 175.440252 \nL 135.357937 174.125777 \nL 132.383091 172.488051 \nL 129.278404 170.508173 \nL 126.058746 168.169537 \nL 122.743603 165.459197 \nL 119.357758 162.369511 \nL 115.931957 158.900027 \nL 112.503483 155.059606 \nL 109.116543 150.868659 \nL 105.82243 146.36129 \nL 102.679305 141.587225 \nL 99.751516 136.613099 \nL 97.108387 131.522886 \nL 94.822303 126.417006 \nL 92.966181 121.409907 \nL 91.610269 116.625863 \nL 90.81845 112.193063 \nL 90.644294 108.236309 \nL 91.127113 104.868898 \nL 92.288489 102.184597 \nL 94.129694 100.25068 \nL 96.63031 99.103158 \nL 99.748367 98.744793 \nL 103.422081 99.146212 \nL 107.572998 100.250066 \nL 112.110321 101.977397 \nL 116.935903 104.235273 \nL 121.949386 106.924674 \nL 127.052985 109.947537 \nL 132.15558 113.212414 \nL 137.175828 116.638281 \nL 142.044162 120.156661 \nL 146.703794 123.712142 \nL 151.1108 127.261797 \nL 155.233522 130.773823 \nL 159.051443 134.225832 \nL 162.553783 137.602982 \nL 165.737948 140.896269 \nL 168.607958 144.100975 \nL 171.17297 147.215403 \nL 173.445927 150.239886 \nL 175.442377 153.17601 \nL 177.179471 156.026061 \nL 178.675134 158.79264 \nL 179.947398 161.478417 \nL 181.013889 164.085967 \nL 181.891429 166.617662 \nL 182.59575 169.075625 \nL 183.141307 171.461724 \nL 183.541145 173.777545 \nL 183.806838 176.02441 \nL 183.974601 180.315265 \nL 183.707536 184.339559 \nL 183.046033 188.09812 \nL 182.009661 191.586649 \nL 181.351756 193.226622 \nL 180.59892 194.794502 \nL 179.748482 196.287647 \nL 178.796747 197.702732 \nL 177.739017 199.035633 \nL 176.569617 200.281306 \nL 175.281911 201.433626 \nL 173.868313 202.485211 \nL 172.320312 203.427218 \nL 170.628493 204.249118 \nL 168.782568 204.938411 \nL 166.771432 205.480338 \nL 164.583233 205.857548 \nL 162.205483 206.049715 \nL 159.625209 206.033165 \nL 156.829169 205.780464 \nL 153.804151 205.260016 \nL 150.537356 204.435712 \nL 147.016927 203.266633 \nL 143.232629 201.706941 \nL 139.176708 199.705975 \nL 134.844997 197.208716 \nL 130.238257 194.156779 \nL 125.363847 190.490095 \nL 120.237662 186.149551 \nL 114.886417 181.080763 \nL 109.350153 175.239304 \nL 103.684936 168.597464 \nL 97.965513 161.152564 \nL 92.287646 152.936589 \nL 86.769739 144.026442 \nL 81.553193 134.553544 \nL 76.80084 124.711049 \nL 72.692813 114.756135 \nL 69.419279 105.004865 \nL 67.169795 95.817351 \nL 66.119512 87.572258 \nL 66.413319 80.631959 \nL 68.149668 75.302675 \nL 71.366559 71.796295 \nL 76.032428 70.202202 \nL 82.044102 70.475944 \nL 89.232943 72.448274 \nL 97.378565 75.852666 \nL 106.228005 80.364785 \nL 115.51712 85.644824 \nL 124.990758 91.374197 \nL 143.608454 103.153815 \nL 168.428788 119.322549 \nL 182.039226 128.427375 \nL 193.232998 136.23267 \nL 202.263007 142.945043 \nL 209.498914 148.772694 \nL 215.337308 153.877593 \nL 222.281919 160.402844 \nL 227.984747 165.71044 \nL 231.511892 168.581259 \nL 233.267219 169.807298 \nL 235.044246 170.886393 \nL 236.860655 171.811364 \nL 238.732135 172.573706 \nL 240.6725 173.163621 \nL 242.693768 173.570029 \nL 244.806182 173.780606 \nL 247.018182 173.781852 \nL 249.336337 173.559198 \nL 251.765195 173.097173 \nL 254.307095 172.379666 \nL 256.961901 171.390286 \nL 259.72667 170.112852 \nL 262.595288 168.53203 \nL 265.558013 166.634165 \nL 268.601032 164.408315 \nL 271.705957 161.847452 \nL 274.849366 158.949895 \nL 278.002383 155.720891 \nL 281.130361 152.174323 \nL 284.192749 148.33438 \nL 287.143177 144.237113 \nL 289.929878 139.931665 \nL 292.496491 135.480894 \nL 294.783333 130.961211 \nL 296.729165 126.461365 \nL 298.273452 122.079976 \nL 299.359062 117.921839 \nL 299.935276 114.092949 \nL 299.960904 110.694766 \nL 299.407277 107.817935 \nL 298.260757 105.536434 \nL 296.524546 103.902545 \nL 294.2195 102.943664 \nL 291.38375 102.661018 \nL 288.071219 103.030812 \nL 284.349007 104.007382 \nL 280.29399 105.527973 \nL 275.988952 107.518436 \nL 271.518554 109.899059 \nL 266.96561 112.589961 \nL 262.407839 115.515425 \nL 257.915356 118.607047 \nL 253.548988 121.805578 \nL 249.359322 125.061679 \nL 245.386499 128.335724 \nL 241.660551 131.597019 \nL 238.202174 134.822646 \nL 235.023759 137.996154 \nL 232.130593 141.106241 \nL 229.522098 144.145573 \nL 227.193029 147.109756 \nL 225.134608 149.996481 \nL 223.335523 152.804852 \nL 221.782806 155.534868 \nL 220.462574 158.18705 \nL 219.360637 160.762165 \nL 218.462986 163.261032 \nL 217.756183 165.684384 \nL 217.227642 168.032803 \nL 216.86584 170.306636 \nL 216.660469 172.505945 \nL 216.602524 174.630481 \nL 216.684359 176.679664 \nL 216.899704 178.652506 \nL 217.243662 180.547607 \nL 217.71269 182.363084 \nL 218.304564 184.096512 \nL 219.018339 185.744849 \nL 219.85431 187.304365 \nL 220.813954 188.770534 \nL 221.899888 190.137896 \nL 223.115809 191.399948 \nL 224.466444 192.548988 \nL 225.957481 193.575926 \nL 227.595507 194.470094 \nL 229.387913 195.219038 \nL 231.342801 195.808271 \nL 233.468849 196.22102 \nL 235.775152 196.437985 \nL 238.27101 196.437051 \nL 240.965663 196.193067 \nL 243.867947 195.677634 \nL 246.985873 194.858976 \nL 250.326074 193.701931 \nL 253.893143 192.168116 \nL 257.688807 190.216353 \nL 261.710917 187.803448 \nL 265.952287 184.885448 \nL 270.399286 181.419486 \nL 275.030279 177.366373 \nL 279.813899 172.694048 \nL 284.707256 167.382009 \nL 289.654137 161.426613 \nL 294.583442 154.847247 \nL 299.408051 147.692848 \nL 304.024456 140.048246 \nL 308.313535 132.039257 \nL 312.142833 123.835341 \nL 315.370742 115.648287 \nL 317.852748 107.725584 \nL 319.449762 100.337658 \nL 320.038104 93.758948 \nL 319.520318 88.244314 \nL 317.835548 84.003874 \nL 314.967964 81.180143 \nL 310.951692 79.832141 \nL 305.871131 79.929933 \nL 299.856208 81.360852 \nL 293.073003 83.946389 \nL 285.711079 87.46604 \nL 277.96943 91.683316 \nL 270.042899 96.369185 \nL 262.110822 101.319737 \nL 254.328804 106.366683 \nL 239.693462 116.271609 \nL 226.801696 125.473178 \nL 221.101797 129.738958 \nL 215.906818 133.777658 \nL 211.203607 137.5983 \nL 206.968441 141.214591 \nL 203.170233 144.642224 \nL 199.773185 147.89708 \nL 196.738907 150.994101 \nL 194.028059 153.946694 \nL 189.421522 159.463153 \nL 185.658056 164.517467 \nL 185.658056 164.517467 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p95860c3296\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     },
@@ -346,8 +346,8 @@
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.244064pt\" version=\"1.1\" viewBox=\"0 0 293.276133 285.244064\" width=\"293.276133pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-20T14:48:38.842369</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.244064 \nL 293.276133 285.244064 \nL 293.276133 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 37.618324 211.069465 \nL 124.952422 136.87823 \nL 124.144521 30.385862 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 67.762318 220.914493 \nL 153.471776 145.16768 \nL 153.887267 37.924781 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 98.569445 230.976101 \nL 182.566047 153.624236 \nL 184.25576 45.622309 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 130.06183 241.261513 \nL 212.252796 162.253002 \nL 215.269958 53.483504 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 162.262594 251.778283 \nL 242.550307 171.059292 \nL 246.950676 61.513642 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 38.378853 210.423387 \nL 36.094001 212.364393 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(19.53819 234.387399)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 68.509359 220.254286 \nL 66.264994 222.237772 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(49.713304 244.441108)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 99.302217 230.301295 \nL 97.100684 232.328672 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(87.925853 254.716827)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 130.779511 240.57162 \nL 128.623282 242.64436 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(116.274717 265.221993)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 162.964317 251.07279 \nL 160.855999 253.192433 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(148.516815 275.964377)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 24.677839 92.94916 \nL 29.966631 205.456462 \nL 179.201377 254.028339 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 39.762979 81.940711 \nL 44.320511 193.424756 \nL 192.216641 240.671476 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.431806 71.236069 \nL 58.295373 181.710749 \nL 204.870188 227.685824 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 68.701319 60.822829 \nL 71.906035 170.302022 \nL 217.176891 215.056119 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 82.587604 50.689251 \nL 85.166551 159.186795 \nL 229.150818 202.767925 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.105895 40.824218 \nL 98.09026 148.353886 \nL 240.805286 190.807573 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.270628 31.217195 \nL 110.689834 137.792673 \nL 252.152911 179.162118 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 177.943559 253.618953 \nL 181.720277 254.848173 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −30 -->\n     <g transform=\"translate(181.570785 275.096733)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 190.970998 240.273545 \nL 194.711114 241.468357 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −20 -->\n     <g transform=\"translate(194.411562 261.542032)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 203.636534 227.298872 \nL 207.340609 228.460703 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(206.895262 248.36426)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 215.955041 214.679699 \nL 219.623632 215.809895 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(226.40767 235.547909)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 227.940588 202.401612 \nL 231.574248 203.501448 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(235.039243 223.078313)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 239.606496 190.450967 \nL 243.205769 191.521649 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(246.536729 210.941587)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_14\">\n     <path d=\"M 250.965382 178.814837 \nL 254.530808 179.85751 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 30 -->\n     <g transform=\"translate(257.731338 199.124577)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_15\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.147136 154.042757 \nL 114.938545 113.719392 \nL 26.258604 186.211357 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.02485 134.875719 \nL 114.725279 95.173209 \nL 25.312746 166.570008 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.916271 115.409382 \nL 114.508843 76.351399 \nL 24.351549 146.610129 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.82172 95.636681 \nL 114.289167 57.247773 \nL 23.374637 126.323907 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.741532 75.550326 \nL 114.066176 37.855954 \nL 22.38162 105.703273 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 255.953137 153.704197 \nL 259.537999 154.720688 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 10 -->\n     <g transform=\"translate(269.185969 159.077424)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 256.821252 134.54225 \nL 260.434958 135.543462 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 20 -->\n     <g transform=\"translate(270.203133 139.948989)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 257.702917 115.081205 \nL 261.345934 116.066535 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 30 -->\n     <g transform=\"translate(271.236131 120.522776)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 258.598452 95.314005 \nL 262.271259 96.282826 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 40 -->\n     <g transform=\"translate(272.285336 100.791776)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_18\">\n    <g id=\"line2d_21\">\n     <path d=\"M 259.508187 75.233366 \nL 263.211275 76.185029 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- 50 -->\n     <g transform=\"translate(273.351133 80.748759)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_22\">\n    <path clip-path=\"url(#p47fc10f5eb)\" d=\"M 144.286294 190.467682 \nL 144.481682 189.689046 \nL 144.948454 189.106481 \nL 145.664285 188.613525 \nL 147.228649 187.883194 \nL 160.985615 182.247982 \nL 165.740125 179.972347 \nL 171.558624 176.915764 \nL 178.606153 172.799173 \nL 182.633214 170.235048 \nL 187.00832 167.266777 \nL 191.729497 163.840184 \nL 196.780748 159.900693 \nL 202.126621 155.397478 \nL 207.705565 150.289827 \nL 213.422151 144.556342 \nL 219.1386 138.207503 \nL 224.666487 131.301723 \nL 229.760337 123.964248 \nL 234.115757 116.406685 \nL 237.375947 108.942637 \nL 239.151236 101.991959 \nL 239.055972 96.063331 \nL 236.764444 91.704678 \nL 232.080943 89.416216 \nL 225.009193 89.535112 \nL 215.796476 92.121732 \nL 204.926274 96.894485 \nL 193.047401 103.25593 \nL 180.855858 110.417333 \nL 168.970727 117.578233 \nL 157.848238 124.088614 \nL 147.755315 129.536786 \nL 138.793926 133.751589 \nL 130.950731 136.746732 \nL 124.147977 138.64678 \nL 118.282512 139.623268 \nL 113.250102 139.852256 \nL 108.957802 139.492369 \nL 105.328462 138.677349 \nL 102.300785 137.516898 \nL 99.827189 136.101133 \nL 97.870765 134.50594 \nL 96.402007 132.797649 \nL 95.395688 131.036512 \nL 94.82805 129.278831 \nL 94.67446 127.57776 \nL 94.907636 125.983124 \nL 95.496507 124.540463 \nL 96.405726 123.289674 \nL 97.595814 122.263551 \nL 99.023898 121.486533 \nL 100.644858 120.973865 \nL 102.412753 120.731378 \nL 104.282342 120.755844 \nL 106.210533 121.035933 \nL 108.157616 121.553615 \nL 110.088199 122.285818 \nL 111.971814 123.206164 \nL 113.783171 124.286672 \nL 115.502141 125.499209 \nL 117.113478 126.816667 \nL 118.606388 128.213856 \nL 119.973983 129.668059 \nL 121.212691 131.159334 \nL 123.302159 134.187572 \nL 124.89056 137.194074 \nL 126.012622 140.111342 \nL 126.710171 142.899841 \nL 127.024025 145.539344 \nL 126.988966 148.021822 \nL 126.630987 150.345999 \nL 125.966095 152.513324 \nL 125.000124 154.52492 \nL 123.729181 156.379113 \nL 122.140539 158.06912 \nL 120.213967 159.580674 \nL 117.923629 160.889195 \nL 115.240925 161.956398 \nL 112.138795 162.726148 \nL 110.423965 162.975901 \nL 108.598295 163.119749 \nL 106.662295 163.143551 \nL 104.61845 163.031222 \nL 102.471776 162.764708 \nL 100.230463 162.324044 \nL 97.906612 161.687546 \nL 95.517007 160.832214 \nL 93.083949 159.734365 \nL 90.636037 158.37058 \nL 88.208877 156.719067 \nL 85.845556 154.761413 \nL 83.59677 152.484835 \nL 81.520437 149.884821 \nL 79.680595 146.968086 \nL 78.145432 143.755601 \nL 76.984323 140.28532 \nL 76.263908 136.614134 \nL 76.043299 132.81846 \nL 76.368871 128.992912 \nL 77.26915 125.246634 \nL 78.750572 121.697191 \nL 80.794873 118.462393 \nL 83.358725 115.650923 \nL 86.375934 113.353028 \nL 89.762058 111.632789 \nL 93.420814 110.523228 \nL 97.251348 110.025009 \nL 101.155312 110.108864 \nL 105.042822 110.721016 \nL 108.836712 111.790501 \nL 112.47488 113.237025 \nL 115.910885 114.97825 \nL 119.113157 116.935638 \nL 122.063312 119.0385 \nL 124.753987 121.226289 \nL 127.18657 123.449404 \nL 129.369059 125.668867 \nL 131.314157 127.855301 \nL 133.037705 129.987567 \nL 135.891816 134.037401 \nL 138.079232 137.760146 \nL 139.742606 141.147844 \nL 141.008938 144.218074 \nL 142.393823 148.290867 \nL 144.24773 154.880067 \nL 145.353192 158.364869 \nL 146.31029 160.58036 \nL 147.062218 161.878545 \nL 147.938323 163.033621 \nL 148.969486 164.040496 \nL 150.190428 164.888983 \nL 151.641046 165.562878 \nL 153.367632 166.038561 \nL 155.423922 166.283065 \nL 157.871762 166.25152 \nL 160.781068 165.883885 \nL 164.228407 165.101083 \nL 168.293166 163.800892 \nL 173.049515 161.854585 \nL 175.705343 160.591448 \nL 178.551615 159.106548 \nL 181.587847 157.37733 \nL 184.808371 155.38114 \nL 188.200684 153.096393 \nL 191.743474 150.504266 \nL 195.404367 147.591002 \nL 199.137479 144.350943 \nL 202.880877 140.790348 \nL 206.554273 136.931945 \nL 210.057293 132.820012 \nL 213.268946 128.525493 \nL 216.049006 124.150349 \nL 218.242158 119.829884 \nL 219.685757 115.731412 \nL 220.2217 112.047504 \nL 219.712265 108.982302 \nL 218.058669 106.730606 \nL 215.219667 105.451387 \nL 211.226178 105.239954 \nL 206.187522 106.10552 \nL 200.285816 107.961436 \nL 193.75789 110.63303 \nL 186.86778 113.88309 \nL 179.876001 117.448946 \nL 154.73927 130.627247 \nL 145.15217 135.145883 \nL 137.605341 138.304029 \nL 129.378978 141.361169 \nL 122.29251 143.979843 \nL 118.623717 145.559909 \nL 112.835212 148.189389 \nL 110.972305 148.829934 \nL 109.04544 149.289114 \nL 107.032229 149.523121 \nL 104.931847 149.487147 \nL 102.765003 149.137388 \nL 100.574597 148.434153 \nL 98.426315 147.346667 \nL 96.408063 145.859822 \nL 95.48058 144.968268 \nL 94.626979 143.98265 \nL 93.862549 142.909364 \nL 93.202691 141.757381 \nL 92.662441 140.538395 \nL 92.255935 139.266861 \nL 91.995847 137.959918 \nL 91.892784 136.63714 \nL 91.954722 135.320133 \nL 92.186496 134.031958 \nL 92.589392 132.796406 \nL 93.160873 131.63716 \nL 93.894496 130.576873 \nL 94.780007 129.636277 \nL 95.803622 128.833319 \nL 96.948506 128.182458 \nL 98.195384 127.694141 \nL 99.523262 127.374515 \nL 100.910186 127.225373 \nL 102.33401 127.244364 \nL 103.7731 127.425374 \nL 105.20695 127.759092 \nL 106.616667 128.233669 \nL 107.985339 128.835424 \nL 109.29825 129.549522 \nL 110.542974 130.360619 \nL 112.789456 132.213065 \nL 114.668689 134.278018 \nL 116.153096 136.456753 \nL 117.236105 138.669912 \nL 117.92468 140.856712 \nL 118.23298 142.971915 \nL 118.177534 144.981911 \nL 117.773988 146.860739 \nL 117.035276 148.586423 \nL 115.971028 150.137724 \nL 114.58805 151.491306 \nL 112.891816 152.619225 \nL 110.888983 153.486732 \nL 108.591004 154.050498 \nL 106.018989 154.257562 \nL 104.640943 154.208152 \nL 103.209851 154.045521 \nL 101.733996 153.760775 \nL 100.223605 153.344906 \nL 98.691076 152.789077 \nL 97.151208 152.084984 \nL 95.621356 151.225339 \nL 94.12152 150.204425 \nL 92.674333 149.018774 \nL 91.304895 147.667917 \nL 90.040437 146.15518 \nL 88.909768 144.488496 \nL 87.942509 142.681152 \nL 87.168065 140.752382 \nL 86.614409 138.727721 \nL 86.30667 136.638979 \nL 86.265653 134.52381 \nL 86.506378 132.424728 \nL 87.036788 130.387623 \nL 87.856765 128.459776 \nL 88.957591 126.687531 \nL 90.321966 125.113835 \nL 91.924578 123.775799 \nL 93.733268 122.702664 \nL 95.710607 121.914309 \nL 97.815818 121.420469 \nL 100.006762 121.220766 \nL 102.241887 121.305485 \nL 104.481921 121.656916 \nL 106.691215 122.251162 \nL 108.83868 123.060065 \nL 110.898304 124.053159 \nL 112.849311 125.199402 \nL 114.675998 126.468606 \nL 116.367353 127.832519 \nL 117.916525 129.265534 \nL 119.320214 130.745107 \nL 120.578045 132.251884 \nL 121.691951 133.769632 \nL 123.503925 136.787436 \nL 124.797842 139.7217 \nL 125.622861 142.527218 \nL 126.026801 145.180537 \nL 126.050722 147.671849 \nL 125.726011 149.998869 \nL 125.073199 152.162327 \nL 124.10189 154.162599 \nL 122.811399 155.997013 \nL 121.191908 157.657396 \nL 119.226118 159.127556 \nL 116.89154 160.380402 \nL 114.163821 161.374528 \nL 112.645573 161.756742 \nL 111.021639 162.050208 \nL 109.291015 162.243884 \nL 107.453974 162.325045 \nL 105.512479 162.279207 \nL 103.47069 162.090068 \nL 101.335526 161.739555 \nL 99.117319 161.207967 \nL 96.830512 160.47428 \nL 94.494399 159.516665 \nL 92.133862 158.313255 \nL 89.78004 156.843258 \nL 87.47084 155.08843 \nL 85.251178 153.034956 \nL 83.172796 150.675713 \nL 81.293525 148.012857 \nL 79.675813 145.060558 \nL 78.384397 141.847596 \nL 77.483099 138.419452 \nL 77.03079 134.839426 \nL 77.076797 131.188198 \nL 77.656162 127.561517 \nL 78.785356 124.065703 \nL 80.459129 120.811081 \nL 82.649112 117.903983 \nL 85.304602 115.438203 \nL 88.355617 113.487144 \nL 91.717872 112.097942 \nL 95.299018 111.288484 \nL 99.005232 111.047717 \nL 102.747268 111.339022 \nL 106.44529 112.105925 \nL 110.032065 113.278941 \nL 113.454508 114.782553 \nL 116.673758 116.541306 \nL 119.664179 118.484518 \nL 122.411678 120.549422 \nL 124.911704 122.682753 \nL 127.167225 124.841161 \nL 129.186831 126.990738 \nL 130.983089 129.106005 \nL 132.571171 131.168672 \nL 135.19016 135.091174 \nL 137.181307 138.708361 \nL 138.675865 142.014273 \nL 139.789761 145.025551 \nL 140.954727 149.048525 \nL 141.935161 153.638766 \nL 143.562393 162.316156 \nL 144.148028 164.322474 \nL 144.881669 166.089679 \nL 145.82513 167.618478 \nL 146.607283 168.49961 \nL 147.543342 169.261798 \nL 148.666033 169.893292 \nL 150.014537 170.377184 \nL 151.635722 170.689839 \nL 153.58538 170.798777 \nL 155.929326 170.659823 \nL 158.744044 170.213386 \nL 162.11631 169.379772 \nL 166.140773 168.053675 \nL 170.913775 166.098502 \nL 176.520589 163.342302 \nL 179.654809 161.600562 \nL 183.011855 159.57927 \nL 186.586073 157.249786 \nL 190.363405 154.584502 \nL 194.318798 151.559027 \nL 198.413179 148.155264 \nL 202.590109 144.365515 \nL 206.77232 140.197763 \nL 210.858491 135.682041 \nL 214.720875 130.8776 \nL 218.204663 125.880154 \nL 221.13019 120.827851 \nL 223.299349 115.90401 \nL 224.507455 111.333921 \nL 224.561238 107.372935 \nL 223.302497 104.283697 \nL 220.634796 102.302688 \nL 216.548354 101.599972 \nL 211.13622 102.240781 \nL 204.595059 104.160562 \nL 197.206824 107.164407 \nL 189.303504 110.955015 \nL 181.22319 115.183369 \nL 158.621595 127.382139 \nL 152.184972 130.620459 \nL 146.403661 133.321779 \nL 141.268116 135.508506 \nL 136.741539 137.236847 \nL 132.772229 138.57822 \nL 126.27338 140.38833 \nL 121.319712 141.43781 \nL 115.954087 142.292063 \nL 109.449611 143.067794 \nL 106.596945 143.215437 \nL 104.809855 143.084467 \nL 103.22826 142.697983 \nL 102.284491 142.28696 \nL 101.442347 141.754421 \nL 100.720801 141.10982 \nL 100.142229 140.370736 \nL 99.729218 139.562842 \nL 99.501391 138.719171 \nL 99.472411 137.878527 \nL 99.647471 137.083047 \nL 100.02159 136.375068 \nL 100.578922 135.793643 \nL 101.293308 135.371206 \nL 102.129906 135.130853 \nL 103.047726 135.084677 \nL 104.002645 135.233348 \nL 104.950445 135.566899 \nL 105.849499 136.066446 \nL 106.662816 136.706441 \nL 107.359346 137.457058 \nL 107.914552 138.286383 \nL 108.310422 139.162129 \nL 108.535063 140.052877 \nL 108.582119 140.928786 \nL 108.450138 141.761891 \nL 108.142071 142.526135 \nL 107.664945 143.197215 \nL 107.029786 143.752414 \nL 106.251787 144.170537 \nL 105.350662 144.432046 \nL 104.351143 144.5195 \nL 103.283476 144.418369 \nL 102.18375 144.118301 \nL 101.093874 143.614796 \nL 100.060934 142.911213 \nL 99.135717 142.020897 \nL 98.370226 140.969072 \nL 97.814194 139.793975 \nL 97.510736 138.546711 \nL 97.491656 137.289346 \nL 97.773107 136.091 \nL 98.35246 135.022148 \nL 99.207147 134.147898 \nL 100.295917 133.521342 \nL 101.562418 133.178295 \nL 102.940525 133.134435 \nL 104.360409 133.385245 \nL 105.754308 133.90852 \nL 107.061152 134.668605 \nL 108.229589 135.621359 \nL 109.219318 136.718799 \nL 110.001038 137.912881 \nL 110.555405 139.158034 \nL 110.87148 140.412525 \nL 110.945048 141.638835 \nL 110.777126 142.803322 \nL 110.372855 143.875483 \nL 109.74087 144.827006 \nL 108.893216 145.630874 \nL 107.845771 146.26062 \nL 106.619175 146.689958 \nL 105.240138 146.892855 \nL 103.742999 146.844328 \nL 102.171309 146.522038 \nL 100.579067 145.908896 \nL 99.031205 144.996674 \nL 97.602687 143.790495 \nL 96.37569 142.3137 \nL 95.434405 140.612141 \nL 94.857438 138.756628 \nL 94.726318 137.799946 \nL 94.708431 136.84197 \nL 94.807791 135.897394 \nL 95.026334 134.981445 \nL 95.363746 134.10947 \nL 95.817371 133.296449 \nL 96.382209 132.556534 \nL 97.050996 131.90257 \nL 97.814397 131.345662 \nL 98.661271 130.894843 \nL 99.579013 130.556806 \nL 100.553926 130.335738 \nL 101.571655 130.233317 \nL 102.617578 130.248773 \nL 104.736579 130.619184 \nL 106.802689 131.400635 \nL 108.723543 132.525595 \nL 110.427096 133.916374 \nL 111.862324 135.494521 \nL 112.997192 137.187321 \nL 113.815092 138.931248 \nL 114.310782 140.67292 \nL 114.486578 142.368294 \nL 114.349255 143.980876 \nL 113.907844 145.479484 \nL 113.172394 146.83594 \nL 112.153659 148.022906 \nL 110.8637 149.011973 \nL 109.317315 149.772159 \nL 107.53432 150.268876 \nL 105.54257 150.463703 \nL 103.381629 150.315204 \nL 101.106789 149.781332 \nL 98.79287 148.823908 \nL 97.650676 148.177165 \nL 96.536887 147.415654 \nL 95.467134 146.539259 \nL 94.45824 145.549878 \nL 93.527974 144.451806 \nL 92.6947 143.252094 \nL 91.976916 141.96086 \nL 91.3927 140.59151 \nL 90.959065 139.16083 \nL 90.691244 137.688899 \nL 90.601964 136.198811 \nL 90.700716 134.71617 \nL 90.993133 133.26837 \nL 91.480472 131.883659 \nL 92.159305 130.590069 \nL 93.021429 129.414244 \nL 94.054029 128.380276 \nL 95.240089 127.508649 \nL 96.559041 126.815372 \nL 97.98758 126.311365 \nL 99.50061 126.002205 \nL 101.072216 125.888134 \nL 102.676614 125.964428 \nL 104.288997 126.221999 \nL 105.88626 126.64818 \nL 107.447531 127.227609 \nL 108.95453 127.943142 \nL 110.391766 128.776702 \nL 111.746558 129.710047 \nL 113.008951 130.725393 \nL 115.22912 132.935955 \nL 117.018404 135.289995 \nL 118.369657 137.69353 \nL 119.292965 140.076357 \nL 119.807504 142.3883 \nL 119.935327 144.594292 \nL 119.697105 146.669476 \nL 119.109569 148.594812 \nL 118.18438 150.353314 \nL 116.928161 151.926809 \nL 115.343522 153.293073 \nL 113.431071 154.42322 \nL 111.192502 155.279286 \nL 108.634905 155.812133 \nL 105.77662 155.959994 \nL 104.245343 155.866745 \nL 102.654758 155.64843 \nL 101.013943 155.294174 \nL 99.334349 154.792843 \nL 97.630128 154.133392 \nL 95.918412 153.305329 \nL 94.219546 152.299322 \nL 92.557214 151.107921 \nL 90.958427 149.726448 \nL 89.453331 148.153978 \nL 88.074756 146.394418 \nL 86.857492 144.457579 \nL 85.837248 142.360171 \nL 85.049277 140.126579 \nL 84.526716 137.789284 \nL 84.298719 135.388748 \nL 84.388477 132.972679 \nL 84.811347 130.594551 \nL 85.57325 128.311391 \nL 86.669578 126.18095 \nL 88.084782 124.25847 \nL 89.79272 122.593342 \nL 91.757847 121.226066 \nL 93.937063 120.185852 \nL 96.282123 119.489143 \nL 98.742267 119.139239 \nL 101.266841 119.127009 \nL 103.807654 119.432531 \nL 106.320864 120.027375 \nL 108.768309 120.87725 \nL 111.118259 121.944621 \nL 113.345642 123.19112 \nL 115.431834 124.579502 \nL 117.364154 126.075113 \nL 119.13514 127.646843 \nL 120.741745 129.267634 \nL 122.184506 130.914608 \nL 123.466746 132.568939 \nL 124.593854 134.215523 \nL 126.410869 137.441158 \nL 127.698307 140.528732 \nL 128.521024 143.447304 \nL 128.937898 146.186256 \nL 128.997374 148.746786 \nL 128.735479 151.13602 \nL 128.175361 153.363002 \nL 127.327687 155.435936 \nL 126.191479 157.360112 \nL 124.75515 159.136094 \nL 122.997672 160.757799 \nL 120.890008 162.21017 \nL 118.397054 163.466182 \nL 115.480585 164.482852 \nL 113.851835 164.882415 \nL 112.103933 165.196179 \nL 110.233759 165.411866 \nL 108.23943 165.515096 \nL 106.120791 165.4892 \nL 103.879996 165.315074 \nL 101.522203 164.971098 \nL 99.056389 164.433179 \nL 96.496277 163.674956 \nL 93.861339 162.668274 \nL 91.17787 161.383953 \nL 88.480034 159.793027 \nL 85.810781 157.868475 \nL 83.222485 155.587574 \nL 80.777087 152.934878 \nL 78.545522 149.905794 \nL 76.606148 146.510548 \nL 75.041947 142.778216 \nL 73.936365 138.760242 \nL 73.367808 134.532721 \nL 73.403113 130.196586 \nL 74.090595 125.874892 \nL 75.453607 121.706738 \nL 77.48571 117.837855 \nL 80.14854 114.408751 \nL 83.373055 111.541884 \nL 87.064322 109.330007 \nL 91.109245 107.827771 \nL 95.386009 107.048053 \nL 99.773724 106.963624 \nL 104.160849 107.513438 \nL 108.451346 108.61212 \nL 112.568181 110.160647 \nL 116.454307 112.056441 \nL 120.071654 114.201555 \nL 123.398833 116.508364 \nL 126.428215 118.902657 \nL 129.162883 121.32463 \nL 131.613819 123.728315 \nL 133.79747 126.080047 \nL 135.73378 128.356492 \nL 138.952736 132.629697 \nL 141.450462 136.494396 \nL 143.397885 139.953284 \nL 145.611428 144.445241 \nL 148.877619 151.359508 \nL 149.922996 153.154692 \nL 151.048663 154.723232 \nL 152.305079 156.070351 \nL 153.740009 157.193091 \nL 155.400967 158.079774 \nL 157.337021 158.709139 \nL 159.599853 159.049059 \nL 162.243841 159.054895 \nL 165.324746 158.667636 \nL 168.896268 157.812218 \nL 173.003416 156.396913 \nL 175.266873 155.446484 \nL 177.671159 154.315347 \nL 180.213321 152.989123 \nL 182.88645 151.453927 \nL 185.678641 149.697212 \nL 188.571791 147.70889 \nL 191.5403 145.482806 \nL 194.549701 143.018547 \nL 197.555332 140.323631 \nL 200.501199 137.415989 \nL 203.319256 134.326629 \nL 205.92936 131.102184 \nL 208.240266 127.806993 \nL 210.152034 124.524095 \nL 211.560179 121.354545 \nL 212.36176 118.41421 \nL 212.463372 115.82753 \nL 211.79054 113.718041 \nL 210.297504 112.196119 \nL 207.975887 111.345357 \nL 204.860435 111.209905 \nL 201.030095 111.785645 \nL 196.603462 113.017768 \nL 191.728778 114.80614 \nL 186.569996 117.017979 \nL 181.291487 119.505138 \nL 170.955322 124.742489 \nL 140.161099 140.891057 \nL 136.694434 143.005875 \nL 133.974932 144.942257 \nL 131.785487 146.78949 \nL 129.104498 149.480166 \nL 124.307844 154.580924 \nL 122.533426 156.13286 \nL 120.555673 157.56516 \nL 118.319589 158.842156 \nL 115.777568 159.919613 \nL 112.890298 160.741207 \nL 109.630096 161.234371 \nL 107.856175 161.329632 \nL 105.987305 161.306129 \nL 104.026761 161.148545 \nL 101.980447 160.840055 \nL 99.857443 160.36246 \nL 97.670613 159.696444 \nL 95.437249 158.822023 \nL 93.179698 157.719223 \nL 90.925951 156.369028 \nL 88.710089 154.754649 \nL 86.572509 152.863153 \nL 84.559798 150.6874 \nL 82.724142 148.228283 \nL 81.122106 145.497103 \nL 79.812702 142.517864 \nL 78.854698 139.329192 \nL 78.303191 135.985472 \nL 78.205654 132.556757 \nL 78.59777 129.127138 \nL 79.499508 125.79125 \nL 80.912047 122.648987 \nL 82.816069 119.798827 \nL 85.17183 117.33039 \nL 87.921204 115.317349 \nL 90.991505 113.811612 \nL 94.300612 112.839788 \nL 97.762715 112.402369 \nL 101.293877 112.475676 \nL 104.81678 113.01606 \nL 108.26419 113.965537 \nL 111.580986 115.257866 \nL 114.724853 116.824301 \nL 117.665851 118.598282 \nL 120.385246 120.518886 \nL 122.873888 122.532886 \nL 125.130433 124.595685 \nL 127.159605 126.67131 \nL 128.970607 128.731814 \nL 130.575753 130.756313 \nL 133.226739 134.642456 \nL 135.235824 138.262624 \nL 136.724993 141.598034 \nL 137.804158 144.65665 \nL 138.566502 147.459411 \nL 139.087542 150.032209 \nL 139.541642 153.517604 \nL 139.722713 156.625813 \nL 139.680842 160.29819 \nL 139.398247 163.542458 \nL 138.890775 166.45057 \nL 138.33897 168.454687 \nL 137.600617 170.336071 \nL 136.620421 172.118175 \nL 135.795481 173.261697 \nL 134.799677 174.376107 \nL 133.596821 175.46575 \nL 132.142841 176.53299 \nL 130.384327 177.576825 \nL 128.256986 178.590658 \nL 125.684197 179.558778 \nL 122.576039 180.450887 \nL 118.829583 181.213731 \nL 114.331857 181.758607 \nL 111.765062 181.90759 \nL 108.968033 181.943317 \nL 105.929012 181.835592 \nL 102.63917 181.547428 \nL 99.094187 181.034 \nL 95.296341 180.241666 \nL 91.257158 179.107222 \nL 87.000713 177.557644 \nL 82.567596 175.510699 \nL 78.019427 172.876935 \nL 73.443663 169.563738 \nL 68.958117 165.482205 \nL 64.714288 160.55762 \nL 60.898051 154.743953 \nL 57.725939 148.042157 \nL 55.435016 140.520644 \nL 54.26477 132.334494 \nL 54.430906 123.737828 \nL 56.093229 115.082378 \nL 59.323219 106.795935 \nL 64.079397 99.3383 \nL 70.199191 93.139487 \nL 77.412738 88.532959 \nL 85.377611 85.701835 \nL 93.72628 84.654029 \nL 102.113738 85.233311 \nL 110.253719 87.161099 \nL 117.937218 90.094361 \nL 125.03374 93.682627 \nL 131.480371 97.611344 \nL 137.265246 101.626525 \nL 142.410732 105.541995 \nL 146.959397 109.234602 \nL 154.479377 115.704642 \nL 169.513495 128.986156 \nL 172.823276 131.596764 \nL 175.159421 133.1598 \nL 176.858894 134.020808 \nL 178.122387 134.415254 \nL 179.060278 134.508668 \nL 179.892787 134.371978 \nL 180.289399 134.130678 \nL 180.27499 133.940358 \nL 180.020736 133.894031 \nL 179.423658 134.003091 \nL 178.436421 134.41319 \nL 177.446968 135.04455 \nL 176.72263 135.750841 \nL 176.464634 136.26066 \nL 176.493154 136.560153 \nL 176.715725 136.758274 \nL 177.119694 136.834238 \nL 177.892102 136.7243 \nL 178.837236 136.371661 \nL 180.050177 135.646138 \nL 180.848055 134.937329 \nL 181.320847 134.243241 \nL 181.389396 133.813302 \nL 181.185866 133.518404 \nL 180.718628 133.39543 \nL 180.027578 133.461124 \nL 178.876507 133.829606 \nL 177.651148 134.45473 \nL 176.561624 135.230023 \nL 175.784044 136.034966 \nL 175.479116 136.587957 \nL 175.443446 137.048288 \nL 175.683086 137.377791 \nL 176.185376 137.54506 \nL 176.9198 137.527118 \nL 177.838233 137.311931 \nL 179.233033 136.724579 \nL 180.635094 135.848662 \nL 181.80563 134.80608 \nL 182.385177 134.022463 \nL 182.613464 133.335751 \nL 182.543495 132.974512 \nL 182.289779 132.715775 \nL 181.858698 132.574996 \nL 180.918991 132.601416 \nL 179.715364 132.907284 \nL 178.374988 133.455132 \nL 176.613899 134.453908 \nL 175.153544 135.600258 \nL 174.390854 136.454984 \nL 173.978925 137.234645 \nL 173.913929 137.685013 \nL 174.019573 138.062465 \nL 174.293366 138.353525 \nL 174.728748 138.546056 \nL 175.660747 138.627536 \nL 176.879127 138.437376 \nL 178.308654 137.96408 \nL 179.848813 137.218004 \nL 181.372817 136.238685 \nL 182.73134 135.100557 \nL 183.764125 133.913498 \nL 184.196351 133.161918 \nL 184.380264 132.492641 \nL 184.291622 131.946945 \nL 183.921588 131.559864 \nL 183.279018 131.356415 \nL 182.390868 131.34894 \nL 181.30044 131.536108 \nL 179.410028 132.148105 \nL 177.406587 133.077071 \nL 175.502037 134.211605 \nL 173.874079 135.439949 \nL 172.650463 136.663922 \nL 171.908245 137.802088 \nL 171.69945 138.479106 \nL 171.722867 139.069423 \nL 171.9758 139.555957 \nL 172.451583 139.922306 \nL 173.140003 140.152755 \nL 174.027235 140.232588 \nL 175.095314 140.148729 \nL 176.321216 139.890754 \nL 178.389865 139.164832 \nL 180.613759 138.038885 \nL 182.814773 136.562508 \nL 184.160441 135.434642 \nL 185.322259 134.246749 \nL 186.223487 133.059846 \nL 186.791992 131.944064 \nL 186.968305 130.972894 \nL 186.896382 130.56352 \nL 186.714148 130.215345 \nL 186.421353 129.934842 \nL 186.019828 129.727142 \nL 184.908521 129.542933 \nL 183.436051 129.671558 \nL 181.685655 130.095804 \nL 179.758591 130.77684 \nL 177.7627 131.661871 \nL 174.862528 133.245339 \nL 172.325325 134.976003 \nL 170.935291 136.13925 \nL 169.828891 137.271895 \nL 169.024928 138.348782 \nL 168.530555 139.348985 \nL 168.344875 140.253705 \nL 168.461966 141.044654 \nL 168.873048 141.703022 \nL 169.567762 142.208953 \nL 170.534546 142.5415 \nL 171.760158 142.678975 \nL 173.228411 142.599718 \nL 174.918173 142.283409 \nL 176.800716 141.713003 \nL 178.836581 140.877458 \nL 180.972209 139.775377 \nL 183.136876 138.419441 \nL 185.240679 136.841347 \nL 187.174703 135.096361 \nL 188.814661 133.266158 \nL 190.029224 131.457971 \nL 190.437249 130.601191 \nL 190.693557 129.798172 \nL 190.786499 129.06554 \nL 190.707175 128.41913 \nL 190.450002 127.87331 \nL 190.01318 127.440307 \nL 189.39901 127.12959 \nL 188.614044 126.947393 \nL 187.669008 126.8964 \nL 186.578515 126.975641 \nL 184.035949 127.503596 \nL 181.158388 128.460224 \nL 178.135035 129.743104 \nL 175.146361 131.240938 \nL 172.344303 132.852792 \nL 169.84187 134.499251 \nL 167.71187 136.124914 \nL 165.992087 137.694669 \nL 164.69367 139.187235 \nL 163.810084 140.588673 \nL 163.324998 141.887306 \nL 163.218398 143.070445 \nL 163.470806 144.122564 \nL 164.065788 145.024511 \nL 164.991053 145.753284 \nL 166.23836 146.282059 \nL 167.802432 146.580405 \nL 169.678889 146.614697 \nL 171.861199 146.348979 \nL 174.336478 145.746534 \nL 177.080044 144.772765 \nL 180.048665 143.399842 \nL 183.172747 141.613819 \nL 186.348238 139.424451 \nL 189.429937 136.877441 \nL 192.229018 134.067269 \nL 193.45282 132.608892 \nL 194.518794 131.146842 \nL 195.395684 129.709423 \nL 196.05298 128.327777 \nL 196.462325 127.034861 \nL 196.599077 125.864112 \nL 196.443917 124.847779 \nL 195.984415 124.015061 \nL 195.216347 123.390196 \nL 194.144618 122.990704 \nL 192.783654 122.826025 \nL 191.15714 122.896714 \nL 189.297095 123.194369 \nL 187.242344 123.702347 \nL 185.036493 124.397163 \nL 180.356194 126.231174 \nL 175.615155 128.4506 \nL 171.116853 130.831027 \nL 167.076143 133.209464 \nL 163.614861 135.493032 \nL 160.777012 137.645306 \nL 158.551882 139.664292 \nL 156.896567 141.562635 \nL 155.753897 143.354363 \nL 155.064878 145.048117 \nL 154.776395 146.644935 \nL 154.845379 148.138471 \nL 155.240609 149.516124 \nL 155.943028 150.760118 \nL 156.945222 151.848152 \nL 158.25042 152.75345 \nL 159.871194 153.444263 \nL 161.827827 153.882934 \nL 164.146198 154.024695 \nL 166.854783 153.816502 \nL 169.980274 153.196329 \nL 173.541011 152.093644 \nL 177.537327 150.432308 \nL 181.937799 148.13758 \nL 184.266643 146.732903 \nL 186.660786 145.149774 \nL 189.098438 143.386837 \nL 191.551727 141.447139 \nL 193.986005 139.339447 \nL 196.359347 137.079661 \nL 198.622349 134.692245 \nL 200.718371 132.21149 \nL 202.584406 129.682446 \nL 204.152747 127.16117 \nL 205.353574 124.71405 \nL 206.118526 122.415834 \nL 206.3852 120.346194 \nL 206.102318 118.584711 \nL 205.235076 117.20459 \nL 203.770024 116.265635 \nL 201.71865 115.807474 \nL 199.118898 115.844241 \nL 196.034057 116.361834 \nL 192.548862 117.318594 \nL 188.763256 118.64958 \nL 184.784617 120.273794 \nL 180.719698 122.103072 \nL 172.713357 126.040492 \nL 165.358478 129.909709 \nL 156.23641 134.983848 \nL 151.524473 137.820443 \nL 147.807035 140.314723 \nL 144.929512 142.575713 \nL 142.724974 144.693775 \nL 141.036638 146.7298 \nL 139.727749 148.717829 \nL 138.684131 150.672406 \nL 137.41787 153.54521 \nL 134.748067 159.885675 \nL 133.352286 162.407088 \nL 132.241659 164.014743 \nL 130.941371 165.560553 \nL 129.408378 167.040096 \nL 127.594368 168.445555 \nL 125.444549 169.763225 \nL 122.896982 170.970004 \nL 119.882831 172.02844 \nL 116.328271 172.879781 \nL 114.324989 173.201328 \nL 112.159256 173.434478 \nL 109.823343 173.561188 \nL 107.311101 173.559793 \nL 104.618741 173.404507 \nL 101.745829 173.064952 \nL 98.696533 172.505774 \nL 95.481156 171.686431 \nL 92.117956 170.561301 \nL 88.635249 169.080255 \nL 85.07372 167.189958 \nL 81.488789 164.836138 \nL 77.952812 161.967139 \nL 74.556652 158.539036 \nL 71.41014 154.522445 \nL 68.640673 149.910946 \nL 66.389189 144.730591 \nL 64.802861 139.049327 \nL 64.024195 132.98452 \nL 64.176929 126.706132 \nL 65.350155 120.432875 \nL 67.583158 114.419468 \nL 70.854218 108.934655 \nL 75.076643 104.23227 \nL 80.104059 100.52038 \nL 85.744792 97.934978 \nL 91.782791 96.524554 \nL 98.000668 96.249026 \nL 104.200201 96.992691 \nL 110.216796 98.587064 \nL 115.926539 100.837596 \nL 121.246507 103.548322 \nL 126.130272 106.540541 \nL 130.560937 109.663958 \nL 134.543601 112.800952 \nL 138.098491 115.86566 \nL 141.255378 118.799963 \nL 146.517776 124.151342 \nL 150.62763 128.743964 \nL 156.491207 135.805604 \nL 159.707194 139.556934 \nL 161.606182 141.456539 \nL 163.452195 142.933109 \nL 165.337075 144.017751 \nL 167.330269 144.727032 \nL 169.481933 145.065284 \nL 171.824398 145.027226 \nL 174.371833 144.601155 \nL 177.118051 143.773152 \nL 180.032571 142.532745 \nL 183.05535 140.880578 \nL 186.091099 138.838178 \nL 189.004955 136.459388 \nL 191.622117 133.84169 \nL 192.75544 132.487687 \nL 193.735015 131.133856 \nL 194.532764 129.8066 \nL 195.121556 128.534578 \nL 195.476458 127.347791 \nL 195.576103 126.276341 \nL 195.404112 125.348987 \nL 194.950387 124.591542 \nL 194.212222 124.025241 \nL 193.195039 123.665297 \nL 191.912655 123.519778 \nL 190.387012 123.588988 \nL 188.647331 123.865456 \nL 186.728777 124.334563 \nL 184.670718 124.97575 \nL 180.302804 126.672566 \nL 175.86885 128.739223 \nL 171.647178 130.974809 \nL 167.839294 133.229207 \nL 164.564416 135.412244 \nL 161.871336 137.483549 \nL 159.757958 139.434463 \nL 158.191123 141.27093 \nL 157.122914 143.001528 \nL 156.502325 144.630921 \nL 156.282738 146.157329 \nL 156.426157 147.572294 \nL 156.905165 148.861344 \nL 157.703409 150.004777 \nL 158.815167 150.978099 \nL 160.244317 151.75197 \nL 162.002852 152.291718 \nL 164.108864 152.556577 \nL 166.583785 152.498839 \nL 169.448464 152.063336 \nL 172.717508 151.187863 \nL 176.391136 149.805458 \nL 180.443785 147.849959 \nL 184.808921 145.266666 \nL 187.072128 143.729873 \nL 189.360361 142.030265 \nL 191.645223 140.173638 \nL 193.892231 138.171394 \nL 196.060557 136.041719 \nL 198.103067 133.810696 \nL 199.966832 131.513179 \nL 201.594192 129.193278 \nL 202.924543 126.904174 \nL 203.896892 124.707068 \nL 204.4532 122.668998 \nL 204.542352 120.859469 \nL 204.124551 119.345906 \nL 203.175613 118.188242 \nL 201.690651 117.43326 \nL 199.686491 117.109403 \nL 197.202274 117.22307 \nL 194.297895 117.757141 \nL 191.050307 118.672295 \nL 187.548076 119.910995 \nL 183.884946 121.403599 \nL 176.43854 124.854383 \nL 169.341464 128.486085 \nL 163.014324 131.931977 \nL 157.65624 135.029401 \nL 153.294414 137.768057 \nL 149.849977 140.214969 \nL 147.193127 142.456114 \nL 145.17997 144.56497 \nL 143.673423 146.592003 \nL 142.553138 148.565746 \nL 141.718743 150.498329 \nL 140.831105 153.32244 \nL 140.029784 156.925114 \nL 138.709326 163.446037 \nL 137.847608 166.352563 \nL 136.996533 168.394111 \nL 135.892549 170.333291 \nL 134.973129 171.576848 \nL 133.869694 172.785717 \nL 132.543073 173.962465 \nL 130.94619 175.107147 \nL 129.02262 176.21549 \nL 126.705204 177.276136 \nL 123.914967 178.266388 \nL 120.560884 179.145748 \nL 116.541505 179.846275 \nL 114.248951 180.09741 \nL 111.750213 180.258601 \nL 109.033106 180.306509 \nL 106.087204 180.21245 \nL 102.904957 179.94149 \nL 99.483165 179.451542 \nL 95.824895 178.692533 \nL 91.941908 177.605813 \nL 87.85764 176.124013 \nL 83.610754 174.171713 \nL 79.259154 171.667339 \nL 74.884202 168.526894 \nL 70.59466 164.670165 \nL 66.529531 160.030008 \nL 62.858602 154.565097 \nL 59.779156 148.275889 \nL 57.507213 141.222431 \nL 56.261953 133.541173 \nL 56.243116 125.456127 \nL 57.603209 117.278627 \nL 60.418895 109.390291 \nL 64.66826 102.206772 \nL 70.221333 96.125592 \nL 76.848973 91.467938 \nL 84.250174 88.429016 \nL 92.091966 87.051011 \nL 100.051764 87.226228 \nL 107.852009 88.728065 \nL 115.280595 91.258969 \nL 122.196067 94.501185 \nL 128.520981 98.158343 \nL 134.228774 101.9818 \nL 139.329011 105.781518 \nL 143.854208 109.425056 \nL 151.366061 115.950707 \nL 159.550104 123.536888 \nL 166.579275 130.08653 \nL 170.099394 133.066816 \nL 171.951345 134.39596 \nL 173.54698 135.315305 \nL 174.967063 135.898609 \nL 176.264896 136.203148 \nL 177.471523 136.274938 \nL 178.6 136.153015 \nL 179.649003 135.872761 \nL 181.043814 135.230549 \nL 182.15646 134.428143 \nL 182.896548 133.591047 \nL 183.141431 133.076745 \nL 183.166905 132.639076 \nL 182.965944 132.308687 \nL 182.543334 132.109136 \nL 181.91651 132.055018 \nL 180.660794 132.254019 \nL 179.153498 132.7642 \nL 177.560192 133.523545 \nL 176.045779 134.449202 \nL 174.752289 135.453761 \nL 173.786389 136.455832 \nL 173.216657 137.384062 \nL 173.075084 137.930971 \nL 173.128382 138.400956 \nL 173.374785 138.778769 \nL 173.808338 139.050283 \nL 174.419147 139.202617 \nL 175.636184 139.183598 \nL 177.154098 138.84391 \nL 178.880604 138.174456 \nL 180.692107 137.194061 \nL 182.431935 135.959497 \nL 183.915975 134.57268 \nL 184.666914 133.634209 \nL 185.163476 132.743967 \nL 185.36091 131.955897 \nL 185.229288 131.321246 \nL 184.758375 130.88295 \nL 183.960696 130.670528 \nL 182.87192 130.696572 \nL 181.5482 130.955779 \nL 180.060777 131.426724 \nL 177.696312 132.454815 \nL 175.404502 133.745393 \nL 173.406824 135.161512 \nL 171.860843 136.586758 \nL 171.129234 137.495767 \nL 170.654459 138.345312 \nL 170.442145 139.115529 \nL 170.491833 139.787896 \nL 170.798656 140.344442 \nL 171.354442 140.767322 \nL 172.148163 141.038767 \nL 173.165753 141.141406 \nL 174.389326 141.058987 \nL 175.795859 140.777517 \nL 177.355462 140.286885 \nL 179.029389 139.583009 \nL 180.768118 138.670476 \nL 182.509844 137.5655 \nL 184.18003 136.298865 \nL 185.692636 134.91823 \nL 186.953805 133.488859 \nL 187.868479 132.091782 \nL 188.349928 130.818428 \nL 188.406206 130.2574 \nL 188.331336 129.76157 \nL 188.122005 129.340795 \nL 187.777482 129.003475 \nL 187.299788 128.756214 \nL 186.693771 128.603547 \nL 185.129797 128.588761 \nL 183.175674 128.949943 \nL 180.951355 129.645317 \nL 178.591376 130.610233 \nL 176.228713 131.769877 \nL 173.981394 133.051105 \nL 171.944074 134.390593 \nL 170.185014 135.738306 \nL 168.747482 137.057063 \nL 167.653941 138.319729 \nL 166.911361 139.505622 \nL 166.516469 140.597204 \nL 166.460199 141.577574 \nL 166.730986 142.428831 \nL 167.316877 143.131188 \nL 168.206501 143.662633 \nL 169.388995 143.999018 \nL 170.852993 144.114509 \nL 172.584702 143.98245 \nL 174.565112 143.576832 \nL 176.766364 142.874588 \nL 179.147386 141.858989 \nL 181.649064 140.524392 \nL 184.189576 138.88237 \nL 186.660922 136.968856 \nL 188.928254 134.851184 \nL 190.834073 132.632962 \nL 192.209348 130.453751 \nL 192.646606 129.430241 \nL 192.892641 128.480159 \nL 192.932734 127.625355 \nL 192.756065 126.886389 \nL 192.356522 126.281496 \nL 191.733358 125.825582 \nL 190.891589 125.529343 \nL 189.842108 125.398605 \nL 188.601465 125.433981 \nL 187.191283 125.630888 \nL 183.968734 126.467509 \nL 180.410711 127.789907 \nL 176.762746 129.447876 \nL 173.244045 131.293857 \nL 170.024492 133.207621 \nL 167.216842 135.106169 \nL 164.881171 136.940973 \nL 163.036201 138.688386 \nL 161.672632 140.33879 \nL 160.765277 141.887751 \nL 160.282612 143.330294 \nL 160.193467 144.657862 \nL 160.471207 145.857145 \nL 161.095956 146.909842 \nL 162.055345 147.79281 \nL 163.344173 148.478169 \nL 164.963201 148.933337 \nL 166.917099 149.120951 \nL 169.211478 148.999001 \nL 171.848746 148.521471 \nL 174.822428 147.640086 \nL 178.109625 146.307963 \nL 181.661343 144.486142 \nL 185.390924 142.154049 \nL 189.161721 139.324679 \nL 191.003527 137.74147 \nL 192.776681 136.06396 \nL 194.446507 134.312064 \nL 195.974809 132.511343 \nL 197.320657 130.693159 \nL 198.441566 128.894448 \nL 199.295103 127.156999 \nL 199.840914 125.526136 \nL 200.043085 124.048769 \nL 199.87271 122.770863 \nL 199.310415 121.734434 \nL 198.348602 120.974381 \nL 196.99306 120.515514 \nL 195.263708 120.370138 \nL 193.194218 120.536725 \nL 190.830484 120.999828 \nL 188.228044 121.731454 \nL 185.448716 122.693648 \nL 182.556858 123.842009 \nL 176.684028 126.51051 \nL 171.048876 129.392488 \nL 165.962733 132.237247 \nL 161.596148 134.910727 \nL 158.002191 137.373632 \nL 155.153673 139.642583 \nL 152.978504 141.755636 \nL 151.386414 143.750417 \nL 150.286334 145.654171 \nL 149.596305 147.481605 \nL 149.248211 149.236628 \nL 149.189318 150.91525 \nL 149.382004 152.508309 \nL 149.802643 154.003381 \nL 150.440219 155.385839 \nL 151.295002 156.639106 \nL 152.377452 157.744255 \nL 153.707392 158.679096 \nL 155.313379 159.416814 \nL 157.232174 159.924192 \nL 159.508037 160.159466 \nL 162.191507 160.069849 \nL 165.337091 159.588911 \nL 168.998982 158.634241 \nL 173.22358 157.106274 \nL 175.556333 156.091824 \nL 178.037035 154.890026 \nL 180.662589 153.485335 \nL 183.42569 151.862726 \nL 186.31368 150.008612 \nL 189.307246 147.912066 \nL 192.378976 145.566434 \nL 195.491863 142.971333 \nL 198.597842 140.135078 \nL 201.636546 137.077433 \nL 204.534529 133.832547 \nL 207.205253 130.451784 \nL 209.550276 127.005956 \nL 211.462018 123.586349 \nL 212.828518 120.303708 \nL 213.540375 117.284389 \nL 213.4998 114.662989 \nL 212.631116 112.571327 \nL 210.891532 111.124439 \nL 208.280355 110.405337 \nL 204.844559 110.451401 \nL 200.678836 111.245646 \nL 195.919192 112.715749 \nL 190.730653 114.742064 \nL 185.291114 117.173358 \nL 179.774464 119.846992 \nL 169.102935 125.329113 \nL 151.63966 134.371766 \nL 138.163102 141.280717 \nL 134.723258 143.300992 \nL 132.010174 145.151699 \nL 129.802555 146.918602 \nL 127.045922 149.488426 \nL 122.830799 153.536576 \nL 120.997371 155.012423 \nL 118.973765 156.359529 \nL 116.705885 157.53817 \nL 114.149866 158.50004 \nL 111.273197 159.185218 \nL 108.058341 159.518843 \nL 106.324253 159.5256 \nL 104.509298 159.408224 \nL 102.618969 159.152177 \nL 100.661534 158.741877 \nL 98.648518 158.16095 \nL 96.595204 157.392599 \nL 94.521133 156.420179 \nL 92.450544 155.227974 \nL 90.412714 153.802225 \nL 88.442122 152.132406 \nL 86.578327 150.21277 \nL 84.865501 148.044082 \nL 83.351478 145.635469 \nL 82.086282 143.006218 \nL 81.120044 140.187293 \nL 80.500401 137.222302 \nL 80.269417 134.167612 \nL 80.460317 131.091312 \nL 81.094324 128.070826 \nL 82.177997 125.189169 \nL 83.701493 122.530051 \nL 85.638113 120.172228 \nL 87.94526 118.183802 \nL 90.566879 116.617229 \nL 93.437034 115.505726 \nL 96.484224 114.861599 \nL 99.635893 114.676648 \nL 102.822558 114.924485 \nL 105.981185 115.564319 \nL 109.057537 116.545458 \nL 112.007454 117.811988 \nL 114.797151 119.306985 \nL 117.402773 120.975894 \nL 119.809398 122.768941 \nL 122.009757 124.642584 \nL 124.002844 126.56013 \nL 125.792552 128.491692 \nL 127.386429 130.413738 \nL 128.794588 132.30836 \nL 131.101729 135.966904 \nL 132.815712 139.405581 \nL 134.037313 142.60351 \nL 134.856943 145.563534 \nL 135.350287 148.300874 \nL 135.577077 150.836185 \nL 135.581638 153.191536 \nL 135.394275 155.388208 \nL 135.032918 157.445599 \nL 134.504662 159.380726 \nL 133.807009 161.208002 \nL 132.92874 162.939125 \nL 131.85041 164.582854 \nL 130.544479 166.144554 \nL 128.975182 167.625354 \nL 127.098231 169.020697 \nL 124.860573 170.318035 \nL 122.200488 171.493311 \nL 119.048593 172.505749 \nL 115.330626 173.290404 \nL 113.236202 173.567955 \nL 110.97345 173.747935 \nL 108.535276 173.810373 \nL 105.916539 173.731352 \nL 103.114947 173.482512 \nL 100.132205 173.030596 \nL 96.975416 172.337139 \nL 93.658798 171.358377 \nL 90.205694 170.045588 \nL 86.650829 168.345993 \nL 83.042732 166.204549 \nL 79.446109 163.566896 \nL 75.943823 160.383754 \nL 72.638014 156.617036 \nL 69.649688 152.247696 \nL 67.116 147.285007 \nL 65.184473 141.776443 \nL 64.00362 135.816605 \nL 63.709972 129.552904 \nL 64.412458 123.185381 \nL 66.176154 116.958091 \nL 69.008541 111.140901 \nL 72.851654 106.002705 \nL 77.583028 101.779959 \nL 83.026364 98.646737 \nL 88.970392 96.693259 \nL 95.192088 95.917933 \nL 101.479356 96.234553 \nL 107.648845 97.491897 \nL 113.556506 99.500161 \nL 119.10069 102.057785 \nL 124.219355 104.973569 \nL 128.883726 108.081438 \nL 133.090611 111.247646 \nL 136.854976 114.3718 \nL 140.203653 117.383832 \nL 145.792579 122.911598 \nL 150.155105 127.675337 \nL 155.030728 133.425465 \nL 159.6716 138.901252 \nL 161.607066 140.874598 \nL 163.463975 142.413659 \nL 165.339184 143.553698 \nL 167.305903 144.314946 \nL 169.417078 144.704989 \nL 171.707217 144.721473 \nL 174.192436 144.355304 \nL 176.868704 143.594748 \nL 179.708394 142.430879 \nL 182.655519 140.864817 \nL 185.620535 138.916917 \nL 188.476289 136.637503 \nL 191.05755 134.117563 \nL 192.184565 132.808919 \nL 193.167358 131.496186 \nL 193.979052 130.204193 \nL 194.593503 128.959997 \nL 194.98646 127.792062 \nL 195.136824 126.729171 \nL 195.027987 125.799094 \nL 194.649068 125.027117 \nL 193.995995 124.434517 \nL 193.072271 124.037169 \nL 191.889324 123.844439 \nL 190.466363 123.858463 \nL 188.829708 124.074043 \nL 187.01165 124.479076 \nL 185.048894 125.055524 \nL 180.847403 126.629874 \nL 176.5387 128.59417 \nL 172.398228 130.753096 \nL 168.631858 132.954925 \nL 165.367322 135.103722 \nL 162.663097 137.15237 \nL 160.525946 139.086508 \nL 158.929806 140.908175 \nL 157.83189 142.623703 \nL 157.18456 144.236701 \nL 156.943159 145.745008 \nL 157.070605 147.140056 \nL 157.539648 148.407331 \nL 158.333566 149.527016 \nL 159.445855 150.474399 \nL 160.879252 151.21986 \nL 162.644217 151.728482 \nL 164.756831 151.959381 \nL 167.235885 151.865053 \nL 170.098764 151.391117 \nL 173.355563 150.477089 \nL 177.000761 149.059145 \nL 181.001769 147.076243 \nL 185.284005 144.481355 \nL 187.491432 142.947871 \nL 189.713059 141.259688 \nL 191.919722 139.424285 \nL 194.076467 137.454799 \nL 196.142395 135.371077 \nL 198.070872 133.200643 \nL 199.810155 130.979371 \nL 201.304635 128.751725 \nL 202.496713 126.570351 \nL 203.329396 124.494746 \nL 203.749598 122.588936 \nL 203.71193 120.918032 \nL 203.182744 119.543802 \nL 202.143971 118.519637 \nL 200.596222 117.885401 \nL 198.560594 117.663048 \nL 196.078727 117.853687 \nL 193.210895 118.436845 \nL 190.032209 119.372235 \nL 186.627386 120.603855 \nL 183.084791 122.065799 \nL 175.9236 125.406411 \nL 169.130029 128.902129 \nL 163.087818 132.223295 \nL 157.976789 135.22532 \nL 153.819514 137.899747 \nL 150.541438 140.306755 \nL 148.021151 142.523208 \nL 146.124204 144.614647 \nL 144.722546 146.625876 \nL 143.703919 148.581873 \nL 142.975061 150.492756 \nL 142.461444 152.359243 \nL 141.972132 155.066053 \nL 141.644476 158.470776 \nL 141.505981 162.349147 \nL 141.558491 167.640245 \nL 141.822132 171.879312 \nL 142.215115 174.442642 \nL 142.635289 175.877356 \nL 143.076566 176.809442 \nL 143.668672 177.612095 \nL 144.465284 178.273102 \nL 145.539576 178.770911 \nL 146.991156 179.069915 \nL 148.233427 179.131725 \nL 149.753607 179.055691 \nL 151.613828 178.808105 \nL 153.88906 178.342939 \nL 156.668761 177.597337 \nL 160.057814 176.485607 \nL 164.175743 174.891546 \nL 169.152343 172.659331 \nL 175.116412 169.584374 \nL 178.503298 167.652086 \nL 182.172161 165.407973 \nL 186.124947 162.812362 \nL 190.354863 159.824524 \nL 194.843054 156.404929 \nL 199.554514 152.518694 \nL 204.433265 148.140603 \nL 209.396928 143.261999 \nL 214.331073 137.899777 \nL 219.084073 132.107388 \nL 223.463597 125.987176 \nL 227.23656 119.702463 \nL 230.1348 113.48641 \nL 231.86916 107.643196 \nL 232.154213 102.535807 \nL 230.744175 98.55487 \nL 227.477151 96.066175 \nL 222.319618 95.341392 \nL 215.398217 96.486981 \nL 207.004418 99.395135 \nL 197.563136 103.740848 \nL 187.569048 109.035596 \nL 158.711956 125.344946 \nL 150.44138 129.643827 \nL 143.047161 133.095658 \nL 136.522186 135.71737 \nL 130.814364 137.593024 \nL 125.849906 138.836922 \nL 121.548925 139.568064 \nL 117.834476 139.89565 \nL 114.636968 139.912848 \nL 111.895724 139.695712 \nL 109.558936 139.304836 \nL 107.582848 138.788044 \nL 105.930615 138.183233 \nL 104.571093 137.520885 \nL 103.477683 136.826098 \nL 102.627284 136.120102 \nL 101.99938 135.421317 \nL 101.575276 134.746038 \nL 101.337474 134.108825 \nL 101.269189 133.522657 \nL 101.354005 132.998979 \nL 101.575646 132.547636 \nL 101.917862 132.176762 \nL 102.364408 131.892689 \nL 102.899112 131.699879 \nL 104.169348 131.596447 \nL 105.605658 131.865254 \nL 107.095885 132.479502 \nL 108.543226 133.393259 \nL 109.868983 134.549031 \nL 111.013183 135.884887 \nL 111.933321 137.340065 \nL 112.601861 138.858543 \nL 113.003167 140.390762 \nL 113.130467 141.893818 \nL 112.983209 143.330675 \nL 112.565077 144.668767 \nL 111.882754 145.878372 \nL 110.945487 146.931016 \nL 109.765425 147.798033 \nL 108.358693 148.449463 \nL 106.747153 148.853484 \nL 104.960766 148.976528 \nL 103.040332 148.784415 \nL 101.040331 148.244858 \nL 99.031295 147.331589 \nL 97.100943 146.030383 \nL 95.353015 144.346679 \nL 94.583221 143.370561 \nL 93.902704 142.314052 \nL 93.326204 141.18698 \nL 92.867826 140.001695 \nL 92.54055 138.773048 \nL 92.355695 137.518266 \nL 92.322394 136.256646 \nL 92.447105 135.009136 \nL 92.733173 133.797737 \nL 93.180521 132.644806 \nL 93.785462 131.572257 \nL 94.540691 130.600739 \nL 95.435426 129.748808 \nL 96.455757 129.032211 \nL 97.585107 128.463289 \nL 98.804829 128.050578 \nL 100.094894 127.798607 \nL 101.434581 127.707931 \nL 102.803168 127.775368 \nL 104.180552 127.994397 \nL 105.547788 128.355693 \nL 106.887506 128.847739 \nL 108.184213 129.457466 \nL 109.424469 130.170864 \nL 111.692428 131.851229 \nL 113.625215 133.777194 \nL 115.185583 135.848835 \nL 116.358801 137.983054 \nL 117.14566 140.114324 \nL 117.556164 142.192668 \nL 117.604483 144.180343 \nL 117.305373 146.048129 \nL 116.671976 147.771764 \nL 115.714886 149.328732 \nL 114.442309 150.695409 \nL 112.861239 151.844568 \nL 110.97964 152.743217 \nL 108.809671 153.350882 \nL 106.37205 153.61855 \nL 103.701609 153.488764 \nL 102.295427 153.255007 \nL 100.853863 152.89766 \nL 99.38826 152.408554 \nL 97.912113 151.779977 \nL 96.441238 151.005066 \nL 94.993852 150.078323 \nL 93.590585 148.996181 \nL 92.254358 147.757672 \nL 91.010114 146.365128 \nL 89.884373 144.824922 \nL 88.904576 143.148137 \nL 88.098234 141.351143 \nL 87.491868 139.455973 \nL 87.109789 137.490405 \nL 86.972777 135.487688 \nL 87.096754 133.485813 \nL 87.491552 131.526331 \nL 88.159926 129.652725 \nL 89.096912 127.90843 \nL 90.289638 126.334638 \nL 91.717646 124.968126 \nL 93.353707 123.839244 \nL 95.165111 122.97036 \nL 97.115242 122.374876 \nL 99.165365 122.056941 \nL 101.276414 122.011809 \nL 103.410627 122.226817 \nL 105.532925 122.682815 \nL 107.611958 123.355823 \nL 109.620773 124.218798 \nL 111.537138 125.243287 \nL 113.343546 126.400852 \nL 115.027009 127.664237 \nL 116.578639 129.008194 \nL 117.99315 130.410014 \nL 119.268297 131.849795 \nL 120.404312 133.31051 \nL 122.26907 136.240257 \nL 123.619503 139.114292 \nL 124.498178 141.879669 \nL 124.948848 144.506293 \nL 125.010458 146.978983 \nL 124.713715 149.291176 \nL 124.0795 151.440177 \nL 123.118516 153.423523 \nL 121.831799 155.236063 \nL 120.211847 156.867325 \nL 118.244363 158.298887 \nL 115.910739 159.501457 \nL 113.191661 160.431582 \nL 111.682587 160.776115 \nL 110.072327 161.027926 \nL 108.360976 161.175936 \nL 106.550026 161.207517 \nL 104.642787 161.108441 \nL 102.644874 160.862895 \nL 100.564751 160.453584 \nL 98.414339 159.861945 \nL 96.209653 159.068539 \nL 93.971459 158.053647 \nL 91.725874 156.79812 \nL 89.504884 155.284529 \nL 87.34666 153.49867 \nL 85.295571 151.431374 \nL 83.40177 149.080649 \nL 81.720215 146.454001 \nL 80.309018 143.57076 \nL 79.227038 140.464155 \nL 78.530732 137.182746 \nL 78.270384 133.79081 \nL 78.486016 130.367295 \nL 79.203359 127.002998 \nL 80.430454 123.795951 \nL 82.155428 120.845237 \nL 84.345907 118.243775 \nL 86.950352 116.071088 \nL 89.901251 114.386971 \nL 93.119801 113.227101 \nL 96.521464 112.601247 \nL 100.021619 112.494259 \nL 103.540615 112.869461 \nL 107.007707 113.673838 \nL 110.363575 114.843987 \nL 113.561483 116.312018 \nL 116.567226 118.010625 \nL 119.358205 119.87696 \nL 121.921957 121.855187 \nL 124.254427 123.897786 \nL 126.358214 125.965868 \nL 128.24093 128.028769 \nL 129.913763 130.063205 \nL 131.390265 132.052219 \nL 133.814643 135.851227 \nL 135.637611 139.3766 \nL 136.977295 142.619589 \nL 137.937869 145.593088 \nL 138.60627 148.319987 \nL 139.208727 152.005254 \nL 139.476325 155.279996 \nL 139.515454 158.218138 \nL 139.310183 161.714156 \nL 138.853364 164.827353 \nL 138.335516 166.961932 \nL 137.635095 168.957331 \nL 136.702714 170.839017 \nL 135.467357 172.629615 \nL 134.428426 173.782259 \nL 133.174845 174.906903 \nL 131.661393 176.005234 \nL 129.833386 177.075122 \nL 127.625205 178.108185 \nL 124.958997 179.085971 \nL 121.74399 179.974081 \nL 117.877308 180.713231 \nL 113.247847 181.20607 \nL 110.612315 181.314798 \nL 107.746016 181.298385 \nL 104.638781 181.12453 \nL 101.283953 180.753933 \nL 97.680122 180.139307 \nL 93.833365 179.224536 \nL 89.760074 177.944161 \nL 85.490399 176.223469 \nL 81.072286 173.979622 \nL 76.57596 171.124374 \nL 72.098468 167.569042 \nL 67.767603 163.232495 \nL 63.744172 158.052754 \nL 60.22107 152.002418 \nL 57.417392 145.107179 \nL 55.565775 137.465278 \nL 54.891936 129.263805 \nL 55.587079 120.785976 \nL 57.776449 112.402791 \nL 61.490352 104.544284 \nL 66.64578 97.650328 \nL 73.046029 92.108554 \nL 80.401466 88.19348 \nL 88.367966 86.023947 \nL 96.593405 85.551315 \nL 104.760233 86.581014 \nL 112.614668 88.819026 \nL 119.978736 91.92811 \nL 126.747261 95.578559 \nL 132.875336 99.483919 \nL 138.362207 103.41891 \nL 143.235938 107.22238 \nL 151.329938 114.065303 \nL 160.132078 121.994441 \nL 167.609276 128.732788 \nL 171.240892 131.739744 \nL 173.865263 133.577602 \nL 175.248978 134.334607 \nL 176.427939 134.808444 \nL 177.911801 135.114774 \nL 179.125863 135.070409 \nL 180.095591 134.797803 \nL 180.809853 134.401545 \nL 181.242243 133.975135 \nL 181.369156 133.601132 \nL 181.279883 133.415032 \nL 180.896563 133.2683 \nL 180.252 133.305581 \nL 179.107096 133.645458 \nL 177.833056 134.264102 \nL 176.656148 135.058503 \nL 175.771658 135.905429 \nL 175.384737 136.501705 \nL 175.272833 137.012581 \nL 175.447412 137.397149 \nL 175.900381 137.620976 \nL 176.605193 137.657554 \nL 177.517217 137.490664 \nL 178.944321 136.949635 \nL 180.427904 136.088301 \nL 181.724573 135.018848 \nL 182.418743 134.186061 \nL 182.766342 133.42871 \nL 182.771389 133.01208 \nL 182.583753 132.69491 \nL 182.205571 132.496188 \nL 181.650192 132.427905 \nL 180.539939 132.576624 \nL 179.203675 133.006485 \nL 177.783306 133.665473 \nL 176.006351 134.775741 \nL 174.920996 135.681683 \nL 174.148618 136.569417 \nL 173.744795 137.374651 \nL 173.694215 137.837495 \nL 173.820782 138.223475 \nL 174.121392 138.518836 \nL 174.588888 138.711142 \nL 175.577639 138.783083 \nL 176.86096 138.571504 \nL 178.360513 138.064413 \nL 179.971377 137.272729 \nL 181.560638 136.238303 \nL 182.971146 135.040209 \nL 184.0339 133.795456 \nL 184.469848 133.01102 \nL 184.642462 132.316505 \nL 184.526861 131.755486 \nL 184.114828 131.364534 \nL 183.417191 131.169177 \nL 182.464109 131.18109 \nL 181.302975 131.397226 \nL 179.305438 132.065156 \nL 177.205812 133.05683 \nL 175.225988 134.253021 \nL 173.548503 135.537004 \nL 172.301499 136.808373 \nL 171.74814 137.6078 \nL 171.431149 138.344201 \nL 171.354592 138.998747 \nL 171.517188 139.553754 \nL 171.913472 139.992192 \nL 172.534463 140.297534 \nL 173.367797 140.453925 \nL 174.397359 140.446678 \nL 175.602434 140.263169 \nL 176.956484 139.894086 \nL 178.425702 139.335101 \nL 180.749715 138.148997 \nL 182.298912 137.148223 \nL 183.770411 136.012912 \nL 185.087944 134.787505 \nL 186.170349 133.53061 \nL 186.937483 132.312828 \nL 187.318236 131.211858 \nL 187.259816 130.304916 \nL 187.05667 129.945897 \nL 186.736708 129.659323 \nL 186.302085 129.450508 \nL 185.108926 129.278894 \nL 183.538734 129.438273 \nL 181.682091 129.907705 \nL 179.648072 130.643362 \nL 177.551611 131.587307 \nL 174.523909 133.258 \nL 171.895094 135.067005 \nL 170.464559 136.276068 \nL 169.332737 137.449632 \nL 168.516573 138.563141 \nL 168.021253 139.596289 \nL 167.844125 140.530718 \nL 167.977895 141.348309 \nL 168.412897 142.030121 \nL 169.138382 142.555871 \nL 170.142849 142.903898 \nL 171.41351 143.051491 \nL 172.934901 142.975694 \nL 174.686729 142.65461 \nL 176.641018 142.069365 \nL 178.758687 141.206983 \nL 180.985826 140.064191 \nL 183.250187 138.652258 \nL 185.458723 137.002414 \nL 187.497351 135.171085 \nL 189.234423 133.243378 \nL 190.529351 131.332716 \nL 190.968075 130.425515 \nL 191.247064 129.574314 \nL 191.353512 128.797111 \nL 191.277543 128.1111 \nL 191.012846 127.53192 \nL 190.55721 127.072896 \nL 189.912891 126.744346 \nL 189.086783 126.553031 \nL 188.090356 126.5018 \nL 186.939337 126.589456 \nL 184.254263 127.157535 \nL 181.217286 128.1782 \nL 178.032006 129.538612 \nL 174.891179 131.117638 \nL 171.955167 132.80718 \nL 169.34113 134.524102 \nL 167.122376 136.212247 \nL 165.334672 137.837671 \nL 163.985801 139.381094 \nL 163.065458 140.830663 \nL 162.553783 142.176448 \nL 162.427837 143.40703 \nL 162.666007 144.507707 \nL 163.250588 145.45977 \nL 164.168891 146.240334 \nL 165.413163 146.822376 \nL 166.979508 147.174908 \nL 168.865873 147.263255 \nL 171.069028 147.049688 \nL 173.580393 146.494768 \nL 176.380542 145.559861 \nL 179.432202 144.21153 \nL 182.671906 142.428461 \nL 186.00089 140.211508 \nL 189.27677 137.596764 \nL 192.308828 134.670292 \nL 193.661138 133.133979 \nL 194.861166 131.580824 \nL 195.875005 130.039923 \nL 196.668864 128.54395 \nL 197.210536 127.128224 \nL 197.471069 125.829352 \nL 197.426604 124.683497 \nL 197.060181 123.724321 \nL 196.36338 122.980802 \nL 195.337589 122.475114 \nL 193.994699 122.220836 \nL 192.357106 122.221783 \nL 190.456922 122.471594 \nL 188.334456 122.954255 \nL 186.03607 123.645498 \nL 181.111964 125.528268 \nL 176.079552 127.847928 \nL 171.277848 130.350386 \nL 166.948761 132.849443 \nL 163.229778 135.239688 \nL 160.170339 137.481696 \nL 157.757966 139.576466 \nL 155.943899 141.542113 \nL 154.663354 143.398333 \nL 153.84945 145.15857 \nL 153.441692 146.827633 \nL 153.390476 148.402142 \nL 153.65897 149.872046 \nL 154.223404 151.222072 \nL 155.072503 152.432713 \nL 156.2065 153.480481 \nL 157.635968 154.337558 \nL 159.380508 154.9709 \nL 161.467197 155.340912 \nL 163.928521 155.399902 \nL 166.799362 155.090583 \nL 170.112359 154.345087 \nL 173.890764 153.085341 \nL 178.137645 151.226147 \nL 180.428469 150.045006 \nL 182.820236 148.683164 \nL 185.299742 147.132798 \nL 187.848564 145.388694 \nL 190.44215 143.449417 \nL 193.048908 141.318688 \nL 195.629412 139.006945 \nL 198.135805 136.533064 \nL 200.511604 133.92604 \nL 202.692054 131.226501 \nL 204.605264 128.487709 \nL 206.174325 125.775748 \nL 207.320595 123.168451 \nL 207.968188 120.752688 \nL 208.049523 118.619784 \nL 207.511618 116.85903 \nL 206.322408 115.549721 \nL 204.476202 114.752604 \nL 201.997255 114.502079 \nL 198.940488 114.800667 \nL 195.388851 115.617256 \nL 191.447353 116.889743 \nL 187.23457 118.532039 \nL 182.872954 120.444109 \nL 174.157975 124.673911 \nL 162.37961 130.853002 \nL 153.153205 135.940984 \nL 148.469731 138.716069 \nL 144.802085 141.139556 \nL 141.964135 143.338825 \nL 139.769395 145.40967 \nL 138.049447 147.411823 \nL 136.660525 149.375778 \nL 134.943785 152.270068 \nL 131.783347 157.81678 \nL 130.578074 159.562147 \nL 129.210214 161.23998 \nL 127.630971 162.839455 \nL 125.790296 164.346751 \nL 123.635339 165.742534 \nL 121.109765 166.998482 \nL 118.154301 168.072609 \nL 114.709159 168.903036 \nL 112.785368 169.200161 \nL 110.719394 169.40002 \nL 108.506745 169.485461 \nL 106.144817 169.43633 \nL 103.633621 169.229178 \nL 100.976656 168.837029 \nL 98.181991 168.22927 \nL 95.263509 167.371747 \nL 92.242345 166.227193 \nL 89.148453 164.756076 \nL 86.02221 162.918077 \nL 82.915921 160.674341 \nL 79.894999 157.990681 \nL 77.0385 154.841813 \nL 74.438604 151.216634 \nL 72.198626 147.124296 \nL 70.429066 142.600538 \nL 69.24148 137.713364 \nL 68.74011 132.566789 \nL 69.011845 127.301153 \nL 70.115558 122.088542 \nL 72.072495 117.122518 \nL 74.859721 112.602427 \nL 78.408356 108.714003 \nL 82.60766 105.609393 \nL 87.314695 103.390458 \nL 92.368013 102.098834 \nL 97.602839 101.714747 \nL 102.864998 102.164417 \nL 108.021489 103.333916 \nL 112.966626 105.086109 \nL 117.623808 107.277163 \nL 121.9439 109.770077 \nL 125.901429 112.443895 \nL 129.489861 115.19848 \nL 132.716833 117.955688 \nL 135.59991 120.657957 \nL 138.163102 123.265451 \nL 142.442625 128.105205 \nL 145.790464 132.385864 \nL 149.556654 137.780315 \nL 154.015991 144.437699 \nL 155.571839 146.421588 \nL 157.152467 148.06576 \nL 158.836523 149.385646 \nL 160.690193 150.384362 \nL 162.770239 151.052924 \nL 165.125676 151.370479 \nL 167.797809 151.304688 \nL 170.818253 150.812631 \nL 174.204445 149.842866 \nL 177.952086 148.339632 \nL 182.024022 146.250692 \nL 184.157439 144.97433 \nL 186.335497 143.540536 \nL 188.53731 141.950817 \nL 190.736845 140.210673 \nL 192.9025 138.330639 \nL 194.996865 136.32731 \nL 196.976759 134.22435 \nL 198.793658 132.053289 \nL 200.394623 129.853979 \nL 201.723839 127.674506 \nL 202.724829 125.570329 \nL 203.343353 123.602497 \nL 203.530911 121.834797 \nL 203.248596 120.32988 \nL 202.470985 119.144626 \nL 201.189553 118.325098 \nL 199.415103 117.901853 \nL 197.178682 117.886325 \nL 194.530672 118.269016 \nL 191.537977 119.019983 \nL 188.279567 120.091755 \nL 184.84096 121.424217 \nL 181.30837 122.950686 \nL 174.278407 126.323175 \nL 167.718475 129.759367 \nL 161.956428 132.980796 \nL 157.128687 135.881785 \nL 153.231474 138.473751 \nL 150.178315 140.821541 \nL 147.845542 142.998357 \nL 146.101882 145.063276 \nL 144.824988 147.054931 \nL 143.909094 148.993627 \nL 143.267299 150.886439 \nL 142.830878 152.732353 \nL 142.449927 155.401883 \nL 142.275403 158.743567 \nL 142.340368 161.801866 \nL 142.578947 164.557159 \nL 142.985635 167.003247 \nL 143.598002 169.137569 \nL 144.237252 170.528869 \nL 145.084533 171.730554 \nL 145.797817 172.417794 \nL 146.659483 173.004417 \nL 147.70129 173.478456 \nL 148.961871 173.823292 \nL 150.488033 174.016076 \nL 152.336159 174.025572 \nL 154.573615 173.809258 \nL 157.279876 173.309454 \nL 160.546913 172.4483 \nL 164.477876 171.121543 \nL 169.182498 169.191504 \nL 174.766438 166.480583 \nL 177.915176 164.765067 \nL 181.310185 162.768701 \nL 184.951386 160.458704 \nL 188.831072 157.801897 \nL 192.931218 154.766625 \nL 197.220233 151.325592 \nL 201.649201 147.459864 \nL 206.147728 143.164245 \nL 210.619689 138.454152 \nL 214.939452 133.373849 \nL 218.949405 128.005549 \nL 222.460022 122.478232 \nL 225.254113 116.974127 \nL 227.096968 111.729899 \nL 227.753987 107.028818 \nL 227.016199 103.180145 \nL 224.732065 100.483916 \nL 220.840714 99.183256 \nL 215.39865 99.41253 \nL 208.590246 101.155756 \nL 200.714656 104.231515 \nL 192.148315 108.315135 \nL 183.291455 112.9956 \nL 158.291379 126.725022 \nL 151.169641 130.331821 \nL 144.788401 133.285998 \nL 139.136998 135.611798 \nL 134.17199 137.377396 \nL 129.833008 138.670411 \nL 126.053666 139.580876 \nL 122.768255 140.19135 \nL 119.915362 140.572374 \nL 115.291602 140.863667 \nL 111.813954 140.778233 \nL 109.204775 140.502046 \nL 106.485795 139.939727 \nL 104.79336 139.33897 \nL 103.822598 138.77908 \nL 103.371354 138.308759 \nL 103.295294 137.964831 \nL 103.481228 137.774233 \nL 103.833099 137.75132 \nL 104.415337 137.978378 \nL 104.971067 138.458136 \nL 105.366427 139.109762 \nL 105.511767 139.829533 \nL 105.42924 140.347313 \nL 105.180273 140.795978 \nL 104.778148 141.135018 \nL 104.249499 141.330685 \nL 103.633265 141.358339 \nL 102.979108 141.205051 \nL 102.344761 140.872327 \nL 101.791921 140.378545 \nL 101.380484 139.760243 \nL 101.161337 139.071219 \nL 101.168766 138.378622 \nL 101.413964 137.755739 \nL 101.88144 137.272372 \nL 102.529635 136.984709 \nL 103.295898 136.927091 \nL 104.104845 137.107712 \nL 104.878024 137.508973 \nL 105.542862 138.091751 \nL 106.039315 138.801859 \nL 106.323819 139.576865 \nL 106.370811 140.351883 \nL 106.172736 141.063824 \nL 105.739422 141.65424 \nL 105.097501 142.071475 \nL 104.290037 142.272828 \nL 103.376132 142.227431 \nL 102.429734 141.92025 \nL 101.536632 141.356972 \nL 100.788513 140.568869 \nL 100.273589 139.61582 \nL 100.064284 138.585164 \nL 100.117556 137.90761 \nL 100.330222 137.277445 \nL 100.696988 136.727897 \nL 101.20382 136.288705 \nL 101.828694 135.983845 \nL 102.543067 135.829733 \nL 103.313889 135.834214 \nL 104.105877 135.996415 \nL 105.25695 136.51394 \nL 106.267956 137.307278 \nL 107.050379 138.297107 \nL 107.541085 139.394105 \nL 107.702858 140.508169 \nL 107.620507 141.217893 \nL 107.387084 141.873499 \nL 107.008034 142.452922 \nL 106.492679 142.935679 \nL 105.854261 143.302957 \nL 105.11011 143.537829 \nL 104.281862 143.625675 \nL 103.395661 143.554872 \nL 102.482223 143.317748 \nL 101.576595 142.911814 \nL 100.717469 142.341153 \nL 99.945915 141.617848 \nL 99.303424 140.763136 \nL 98.829286 139.808036 \nL 98.557439 138.793044 \nL 98.513139 137.766628 \nL 98.709875 136.782417 \nL 99.147128 135.895226 \nL 99.809413 135.156365 \nL 100.666929 134.608925 \nL 101.677819 134.283889 \nL 102.791704 134.197674 \nL 103.953913 134.351544 \nL 105.109716 134.732762 \nL 106.208012 135.317136 \nL 107.204014 136.072259 \nL 108.06082 136.960921 \nL 108.749961 137.944058 \nL 109.251114 138.983009 \nL 109.551312 140.040985 \nL 109.643924 141.083807 \nL 109.527647 142.08004 \nL 109.205696 143.000755 \nL 108.685295 143.819085 \nL 107.977535 144.509732 \nL 107.097603 145.048593 \nL 106.065339 145.412641 \nL 104.906059 145.580193 \nL 103.651495 145.531638 \nL 102.340664 145.250846 \nL 101.02041 144.727172 \nL 99.745279 143.958128 \nL 98.57635 142.95249 \nL 97.578716 141.733419 \nL 96.817377 140.340975 \nL 96.351654 138.833137 \nL 96.22865 137.284496 \nL 96.476669 135.781932 \nL 97.099954 134.417327 \nL 98.076023 133.27816 \nL 99.356522 132.437631 \nL 100.871728 131.946422 \nL 102.537888 131.827892 \nL 104.265868 132.077625 \nL 105.969465 132.666988 \nL 107.571968 133.549439 \nL 109.01023 134.667835 \nL 110.236222 135.961234 \nL 111.216526 137.370114 \nL 111.930455 138.839705 \nL 112.367539 140.321532 \nL 112.524917 141.773528 \nL 112.405094 143.159259 \nL 112.014236 144.446586 \nL 111.36118 145.606133 \nL 110.457152 146.609793 \nL 109.316205 147.42943 \nL 107.956333 148.035929 \nL 106.40119 148.39876 \nL 104.682319 148.486274 \nL 102.841681 148.266952 \nL 100.934155 147.711989 \nL 99.029482 146.799338 \nL 97.212902 145.519428 \nL 95.583559 143.882184 \nL 94.872781 142.939859 \nL 94.249699 141.924528 \nL 93.727851 140.846057 \nL 93.320053 139.71659 \nL 93.037947 138.550513 \nL 92.891531 137.36429 \nL 92.888685 136.176162 \nL 93.034744 135.005732 \nL 93.332139 133.873414 \nL 93.780134 132.799777 \nL 94.374706 131.804841 \nL 95.108537 130.907327 \nL 95.971206 130.12395 \nL 96.949486 129.468794 \nL 98.02779 128.952806 \nL 99.188713 128.583464 \nL 100.413641 128.364621 \nL 101.683377 128.296552 \nL 102.978744 128.376168 \nL 104.281149 128.597383 \nL 105.573048 128.951595 \nL 106.83832 129.428216 \nL 108.06254 130.015245 \nL 110.339443 131.468644 \nL 112.326006 133.206794 \nL 113.973021 135.130439 \nL 115.255094 137.153285 \nL 116.164526 139.204659 \nL 116.705252 141.228948 \nL 116.887655 143.183209 \nL 116.72463 145.033967 \nL 116.228947 146.753852 \nL 115.411887 148.318489 \nL 114.282965 149.703637 \nL 112.850695 150.882718 \nL 111.124328 151.824681 \nL 109.116586 152.492283 \nL 106.847444 152.841045 \nL 104.348962 152.819148 \nL 101.671042 152.369039 \nL 100.286813 151.964789 \nL 98.887699 151.431512 \nL 97.487681 150.762808 \nL 96.102873 149.953356 \nL 94.751553 148.999424 \nL 93.454085 147.89941 \nL 92.232741 146.654462 \nL 91.111358 145.269102 \nL 90.114824 143.751843 \nL 89.268403 142.115722 \nL 88.596877 140.378716 \nL 88.123518 138.563906 \nL 87.868969 136.699389 \nL 87.850069 134.817814 \nL 88.078721 132.955541 \nL 88.56091 131.1514 \nL 89.295967 129.445106 \nL 90.276191 127.87545 \nL 91.486875 126.478348 \nL 92.906765 125.285004 \nL 94.508967 124.320305 \nL 96.262164 123.601665 \nL 98.132093 123.138383 \nL 100.083109 122.931587 \nL 102.079735 122.974738 \nL 104.088016 123.254635 \nL 106.076667 123.752681 \nL 108.017888 124.44641 \nL 109.887889 125.310973 \nL 111.667105 126.32053 \nL 113.340169 127.449462 \nL 114.895686 128.673307 \nL 116.325863 129.969443 \nL 117.626056 131.317516 \nL 118.794283 132.699649 \nL 120.737258 135.507082 \nL 122.173999 138.296834 \nL 123.138112 141.006026 \nL 123.667789 143.595879 \nL 123.799105 146.044091 \nL 123.561909 148.338483 \nL 122.97768 150.471985 \nL 122.058793 152.438708 \nL 120.80878 154.230764 \nL 119.223368 155.835446 \nL 117.292237 157.232522 \nL 115.001614 158.39137 \nL 112.338006 159.267855 \nL 110.863472 159.581915 \nL 109.293566 159.801047 \nL 107.629432 159.914514 \nL 105.873661 159.910205 \nL 104.030699 159.774632 \nL 102.107297 159.492986 \nL 100.113014 159.049304 \nL 98.060757 158.426727 \nL 95.967331 157.607945 \nL 93.853982 156.575818 \nL 91.746876 155.314242 \nL 89.677453 153.809282 \nL 87.682575 152.050579 \nL 85.804367 150.033005 \nL 84.089656 147.75857 \nL 82.588894 145.238381 \nL 81.354489 142.494532 \nL 80.438515 139.56166 \nL 79.889823 136.487844 \nL 79.75074 133.334516 \nL 80.053574 130.175101 \nL 80.817335 127.092185 \nL 82.045073 124.173218 \nL 83.722332 121.505075 \nL 85.816994 119.167946 \nL 88.280711 117.229365 \nL 91.051841 115.739188 \nL 94.059522 114.726258 \nL 97.228384 114.19719 \nL 100.483279 114.137426 \nL 103.753495 114.514228 \nL 106.976015 115.281029 \nL 110.097658 116.38237 \nL 113.076081 117.758817 \nL 115.8798 119.351187 \nL 118.487464 121.103835 \nL 120.886677 122.966862 \nL 123.072556 124.897314 \nL 125.046256 126.859559 \nL 126.81356 128.825043 \nL 128.383616 130.771663 \nL 129.767864 132.682936 \nL 132.030994 136.356194 \nL 133.710806 139.792001 \nL 134.911658 142.976043 \nL 135.725915 145.915669 \nL 136.2303 148.629045 \nL 136.485192 151.138697 \nL 136.535549 153.467852 \nL 136.412551 155.638531 \nL 136.13542 157.670677 \nL 135.713076 159.581816 \nL 135.145471 161.387034 \nL 134.424531 163.099015 \nL 133.534686 164.728063 \nL 132.453028 166.281955 \nL 131.14914 167.765504 \nL 129.584664 169.179717 \nL 127.712728 170.520344 \nL 125.477402 171.775527 \nL 122.813488 172.922219 \nL 119.647158 173.920814 \nL 115.898332 174.707398 \nL 113.780025 174.99197 \nL 111.48627 175.18291 \nL 109.008693 175.259982 \nL 106.34073 175.198789 \nL 103.478556 174.970174 \nL 100.42225 174.539684 \nL 97.17728 173.86712 \nL 93.756314 172.906329 \nL 90.18138 171.605376 \nL 86.486354 169.907325 \nL 82.719675 167.751927 \nL 78.947092 165.078541 \nL 75.254097 161.830678 \nL 71.747515 157.962472 \nL 68.555521 153.447193 \nL 65.825217 148.287612 \nL 63.71678 142.527324 \nL 62.39351 136.261398 \nL 62.007615 129.643752 \nL 62.682661 122.88813 \nL 64.494922 116.259559 \nL 67.457179 110.054549 \nL 71.509124 104.570959 \nL 76.517853 100.071894 \nL 82.289777 96.750908 \nL 88.592193 94.706918 \nL 95.180009 93.934969 \nL 101.821682 94.334859 \nL 108.319275 95.734287 \nL 114.519853 97.919689 \nL 120.318166 100.667064 \nL 125.652671 103.766867 \nL 130.497748 107.039962 \nL 134.854717 110.344776 \nL 138.743442 113.577475 \nL 142.195424 116.667761 \nL 147.943653 122.269629 \nL 152.422341 127.019043 \nL 163.185529 138.781539 \nL 165.099067 140.356897 \nL 166.968488 141.511795 \nL 168.872775 142.278433 \nL 170.86699 142.675751 \nL 172.984831 142.712901 \nL 175.239625 142.393043 \nL 177.623824 141.717711 \nL 180.107268 140.692052 \nL 182.634714 139.331112 \nL 185.123566 137.666986 \nL 187.463085 135.756241 \nL 189.516971 133.686102 \nL 191.131273 131.577013 \nL 191.724143 130.553787 \nL 192.149214 129.578659 \nL 192.390024 128.672745 \nL 192.432933 127.856804 \nL 192.267954 127.150342 \nL 191.889499 126.570655 \nL 191.296994 126.131924 \nL 190.495228 125.84441 \nL 189.494481 125.713848 \nL 188.3103 125.741142 \nL 186.962997 125.922338 \nL 183.879069 126.708812 \nL 180.465394 127.964767 \nL 176.954872 129.550703 \nL 173.557443 131.327568 \nL 170.438088 133.180016 \nL 167.708658 135.026401 \nL 165.431184 136.817109 \nL 163.627918 138.52625 \nL 162.293596 140.141777 \nL 161.406868 141.6572 \nL 160.939456 143.06602 \nL 160.862684 144.358649 \nL 161.151646 145.521109 \nL 161.787445 146.534686 \nL 162.757992 147.375968 \nL 164.057681 148.016966 \nL 165.686155 148.425152 \nL 167.646202 148.563523 \nL 169.940677 148.390912 \nL 172.568227 147.862893 \nL 175.517515 146.933903 \nL 178.759655 145.561311 \nL 182.238741 143.712355 \nL 185.860871 141.37489 \nL 189.483041 138.57234 \nL 191.233839 137.018174 \nL 192.904792 135.381951 \nL 194.461733 133.684723 \nL 195.867566 131.95283 \nL 197.083117 130.217893 \nL 198.068418 128.516413 \nL 198.78432 126.888883 \nL 199.194483 125.378363 \nL 199.267618 124.028495 \nL 198.979827 122.881019 \nL 198.316823 121.973001 \nL 197.275785 121.333984 \nL 195.866549 120.98347 \nL 194.111957 120.929048 \nL 192.047159 121.165542 \nL 189.717923 121.67536 \nL 187.178056 122.430046 \nL 184.486228 123.392885 \nL 178.885408 125.774709 \nL 173.359033 128.4876 \nL 168.250744 131.259879 \nL 163.774689 133.92252 \nL 160.025305 136.403494 \nL 157.007717 138.696791 \nL 154.671734 140.82856 \nL 152.940093 142.832282 \nL 151.728251 144.735346 \nL 150.956559 146.554238 \nL 150.556773 148.294701 \nL 150.47484 149.953905 \nL 150.671446 151.522922 \nL 151.121387 152.988688 \nL 151.812439 154.33515 \nL 152.744127 155.543605 \nL 153.926594 156.592375 \nL 155.379638 157.455888 \nL 157.131845 158.103283 \nL 159.219668 158.496624 \nL 161.68614 158.588777 \nL 164.578782 158.321127 \nL 167.945987 157.621475 \nL 171.830898 156.4028 \nL 176.261362 154.564163 \nL 178.681978 153.378185 \nL 181.234222 151.996065 \nL 183.909055 150.404956 \nL 186.692121 148.593805 \nL 189.562575 146.554566 \nL 192.491794 144.283747 \nL 195.442107 141.784278 \nL 198.365585 139.06772 \nL 201.203155 136.156686 \nL 203.884161 133.087329 \nL 206.326743 129.911585 \nL 208.43933 126.698732 \nL 210.123607 123.535708 \nL 211.279197 120.525508 \nL 211.810182 117.783044 \nL 211.633251 115.428016 \nL 210.686811 113.574879 \nL 208.93995 112.320701 \nL 206.399705 111.732473 \nL 203.114935 111.836379 \nL 199.175441 112.611493 \nL 194.705762 113.99015 \nL 189.854294 115.865478 \nL 184.779521 118.105008 \nL 174.561621 123.119208 \nL 153.246063 134.245458 \nL 144.650423 138.792012 \nL 140.438626 141.191575 \nL 137.164139 143.302634 \nL 134.593258 145.256953 \nL 132.519883 147.13326 \nL 129.972195 149.875866 \nL 125.37431 155.094686 \nL 123.659963 156.694592 \nL 121.741599 158.183494 \nL 119.56349 159.52917 \nL 117.07559 160.691314 \nL 114.234066 161.617857 \nL 111.004121 162.240499 \nL 109.236435 162.410878 \nL 107.365775 162.46985 \nL 105.39353 162.402229 \nL 103.323468 162.191059 \nL 101.162297 161.817661 \nL 98.920301 161.261777 \nL 96.612044 160.501879 \nL 94.257112 159.515713 \nL 91.880837 158.281087 \nL 89.514958 156.77701 \nL 87.198125 154.985232 \nL 84.976094 152.892162 \nL 82.901517 150.491191 \nL 81.033118 147.785339 \nL 79.434136 144.790007 \nL 78.169892 141.535608 \nL 77.304462 138.069597 \nL 76.896516 134.457488 \nL 76.994633 130.782267 \nL 77.632513 127.141827 \nL 78.82471 123.644195 \nL 80.563594 120.400737 \nL 82.818134 117.517918 \nL 85.534934 115.088623 \nL 88.641556 113.184405 \nL 92.051732 111.849751 \nL 95.671776 111.099414 \nL 99.407241 110.919092 \nL 103.168946 111.26918 \nL 106.87769 112.090711 \nL 110.467296 113.312417 \nL 113.885978 114.857703 \nL 117.096257 116.650709 \nL 120.073851 118.620893 \nL 122.805901 120.706019 \nL 125.28893 122.853579 \nL 127.526797 125.021098 \nL 129.528807 127.175544 \nL 131.308082 129.292266 \nL 134.262164 133.348069 \nL 136.525591 137.110032 \nL 138.235194 140.556531 \nL 139.515396 143.696764 \nL 140.472781 146.554391 \nL 141.490483 150.373819 \nL 142.395445 154.738816 \nL 143.618219 160.845774 \nL 144.218303 162.98326 \nL 144.95557 164.866108 \nL 145.894261 166.499016 \nL 146.668723 167.44473 \nL 147.593056 168.268636 \nL 148.699251 168.959852 \nL 150.02542 169.502424 \nL 151.617011 169.873871 \nL 153.528013 170.043169 \nL 155.822023 169.968075 \nL 158.572892 169.591598 \nL 161.864407 168.837571 \nL 165.788072 167.605442 \nL 170.437391 165.764859 \nL 175.896048 163.15169 \nL 178.947261 161.494911 \nL 182.216078 159.569056 \nL 185.697967 157.346496 \nL 189.380631 154.800369 \nL 193.241595 151.906551 \nL 197.245376 148.646448 \nL 201.340349 145.010749 \nL 205.455438 141.004244 \nL 209.496985 136.651714 \nL 213.346319 132.004641 \nL 216.858779 127.148107 \nL 219.86526 122.20679 \nL 222.177451 117.348296 \nL 223.598007 112.781429 \nL 223.936461 108.746816 \nL 223.030608 105.49762 \nL 220.771525 103.269984 \nL 217.128012 102.24598 \nL 212.164441 102.516097 \nL 206.045507 104.051644 \nL 199.023479 106.697777 \nL 191.408527 110.193054 \nL 183.528422 114.212447 \nL 154.561362 129.646775 \nL 148.694338 132.470948 \nL 143.461055 134.792978 \nL 138.833817 136.657528 \nL 134.766799 138.129134 \nL 128.092985 140.171329 \nL 122.996175 141.416509 \nL 116.026136 142.783668 \nL 108.288048 144.080537 \nL 106.187928 144.194641 \nL 104.251054 144.013834 \nL 103.036968 143.702106 \nL 101.896922 143.22651 \nL 100.8541 142.586492 \nL 99.939502 141.791113 \nL 99.188471 140.860299 \nL 98.636816 139.825471 \nL 98.316551 138.729128 \nL 98.251596 137.62312 \nL 98.453909 136.565376 \nL 98.920654 135.615342 \nL 99.632961 134.828584 \nL 100.556586 134.251435 \nL 101.644457 133.916604 \nL 102.840656 133.840544 \nL 104.085179 134.02294 \nL 105.318646 134.448235 \nL 106.486268 135.088682 \nL 107.54068 135.908122 \nL 108.443463 136.865782 \nL 109.165511 137.919536 \nL 109.686522 139.028277 \nL 109.993968 140.153386 \nL 110.081856 141.25938 \nL 109.94955 142.313898 \nL 109.600857 143.287325 \nL 109.04347 144.152165 \nL 108.288836 144.882432 \nL 107.352442 145.453146 \nL 106.254489 145.840134 \nL 105.02087 146.020234 \nL 103.684303 145.97207 \nL 102.285434 145.677491 \nL 100.873595 145.123808 \nL 99.50684 144.306769 \nL 98.250874 143.234101 \nL 97.176391 141.92917 \nL 96.354625 140.434068 \nL 95.851114 138.811019 \nL 95.718278 137.14117 \nL 95.987853 135.519887 \nL 96.27625 134.759176 \nL 96.664792 134.048504 \nL 97.149398 133.399693 \nL 97.724153 132.823541 \nL 98.381431 132.329487 \nL 99.112106 131.925336 \nL 99.905804 131.617049 \nL 101.636289 131.301989 \nL 103.476456 131.392245 \nL 105.329592 131.866359 \nL 107.107137 132.679723 \nL 108.734466 133.772865 \nL 110.153651 135.079673 \nL 111.323551 136.534177 \nL 112.218039 138.075099 \nL 112.823198 139.64822 \nL 113.13425 141.20693 \nL 113.152746 142.711552 \nL 112.884333 144.127918 \nL 112.337274 145.425623 \nL 111.521751 146.576252 \nL 110.449975 147.551733 \nL 109.137046 148.322996 \nL 107.602549 148.859078 \nL 105.872772 149.126833 \nL 103.983453 149.091548 \nL 101.982799 148.71875 \nL 99.934333 147.977587 \nL 97.918897 146.846055 \nL 96.034873 145.318156 \nL 95.177075 144.410168 \nL 94.395401 143.412456 \nL 93.705182 142.332603 \nL 93.12156 141.180697 \nL 92.659027 139.969446 \nL 92.330902 138.714146 \nL 92.148784 137.432552 \nL 92.122005 136.144564 \nL 92.257114 134.871778 \nL 92.557427 133.636865 \nL 93.022715 132.462845 \nL 93.649011 131.372243 \nL 94.428604 130.386229 \nL 95.350211 129.523765 \nL 96.399329 128.800862 \nL 97.558745 128.229965 \nL 98.809155 127.819551 \nL 100.129883 127.573942 \nL 101.499602 127.493349 \nL 102.897054 127.574143 \nL 104.301682 127.809275 \nL 105.694184 128.188858 \nL 107.056932 128.700815 \nL 108.374271 129.331531 \nL 109.632684 130.066497 \nL 111.929611 131.790059 \nL 113.882258 133.757215 \nL 115.454685 135.866514 \nL 116.633674 138.03425 \nL 117.421478 140.194949 \nL 117.82934 142.299091 \nL 117.87236 144.309582 \nL 117.565889 146.197904 \nL 116.923337 147.940474 \nL 115.955257 149.515361 \nL 114.669528 150.899393 \nL 113.072566 152.065626 \nL 111.17152 152.981122 \nL 108.977559 153.60516 \nL 106.510307 153.888074 \nL 103.803506 153.771234 \nL 102.376339 153.542546 \nL 100.911817 153.188948 \nL 99.421257 152.701931 \nL 97.918191 152.073386 \nL 96.418541 151.296019 \nL 94.940722 150.363866 \nL 93.505664 149.27288 \nL 92.136706 148.021618 \nL 90.859347 146.611981 \nL 89.700785 145.049983 \nL 88.689274 143.346462 \nL 87.853245 141.517722 \nL 87.220224 139.585929 \nL 86.81556 137.579256 \nL 86.661056 135.531622 \nL 86.773564 133.481981 \nL 87.163691 131.473111 \nL 87.834738 129.549931 \nL 88.781995 127.757452 \nL 89.992533 126.138483 \nL 91.445492 124.731308 \nL 93.112944 123.567596 \nL 94.9612 122.670726 \nL 96.952488 122.054736 \nL 99.046806 121.724002 \nL 101.203804 121.673613 \nL 103.384502 121.8904 \nL 105.552736 122.354421 \nL 107.676242 123.040732 \nL 109.727352 123.921232 \nL 111.683319 124.966411 \nL 113.526325 126.146833 \nL 115.243228 127.434349 \nL 116.825137 128.802951 \nL 118.266877 130.229329 \nL 119.566399 131.693116 \nL 120.724191 133.176953 \nL 122.625897 136.149521 \nL 124.006572 139.061389 \nL 124.911208 141.859899 \nL 125.385709 144.515793 \nL 125.470801 147.014989 \nL 125.198591 149.352156 \nL 124.590981 151.525905 \nL 123.659335 153.535161 \nL 122.404977 155.376277 \nL 120.820277 157.040475 \nL 118.890288 158.511256 \nL 116.595068 159.761571 \nL 113.913036 160.750488 \nL 112.42093 161.129406 \nL 110.82585 161.419392 \nL 109.127186 161.609697 \nL 107.325586 161.687977 \nL 105.423378 161.640232 \nL 103.425039 161.450771 \nL 101.337738 161.102265 \nL 99.171953 160.575912 \nL 96.942129 159.851752 \nL 94.667364 158.909181 \nL 92.372091 157.727708 \nL 90.086674 156.288033 \nL 87.847856 154.573449 \nL 85.698943 152.571625 \nL 83.689585 150.27674 \nL 81.875035 147.691871 \nL 80.314702 144.831525 \nL 79.06996 141.723988 \nL 78.201113 138.413214 \nL 77.763646 134.959745 \nL 77.803967 131.440263 \nL 78.355029 127.945386 \nL 79.432396 124.575442 \nL 81.031338 121.434481 \nL 83.125532 118.622881 \nL 85.667749 116.22951 \nL 88.59259 114.324495 \nL 91.821014 112.953738 \nL 95.266032 112.13604 \nL 98.838783 111.86319 \nL 102.45418 112.102895 \nL 106.035485 112.803815 \nL 109.517431 113.901814 \nL 112.847839 115.326373 \nL 115.987857 117.006289 \nL 118.911178 118.874202 \nL 121.602569 120.869685 \nL 124.056078 122.940923 \nL 126.273147 125.045259 \nL 128.260837 127.148913 \nL 130.030253 129.226137 \nL 131.595208 131.258107 \nL 134.174313 135.138591 \nL 136.127406 138.734944 \nL 137.579329 142.036282 \nL 138.641013 145.055453 \nL 139.405748 147.816199 \nL 140.156362 151.532429 \nL 140.592217 154.817102 \nL 140.88976 158.653982 \nL 141.038926 163.509197 \nL 141.001351 169.31246 \nL 140.772786 173.832572 \nL 140.452822 176.320788 \nL 139.996594 178.156801 \nL 139.427945 179.513344 \nL 138.82382 180.487982 \nL 138.005557 181.444382 \nL 136.894962 182.400797 \nL 135.38483 183.375951 \nL 133.328436 184.38583 \nL 130.525857 185.435917 \nL 128.11315 186.149386 \nL 125.150025 186.852131 \nL 121.516926 187.504078 \nL 117.075704 188.032178 \nL 111.674131 188.310608 \nL 108.564754 188.295447 \nL 105.159125 188.131363 \nL 101.442835 187.772772 \nL 97.406626 187.163215 \nL 93.04921 186.233659 \nL 88.38098 184.901005 \nL 83.428784 183.067204 \nL 78.241824 180.619553 \nL 72.89864 177.433035 \nL 67.514728 173.375913 \nL 62.250007 168.319993 \nL 57.314419 162.157039 \nL 52.96922 154.822371 \nL 49.520563 146.325211 \nL 47.301599 136.782735 \nL 46.640399 126.450822 \nL 47.814052 115.7401 \nL 50.994829 105.20382 \nL 56.200853 95.486975 \nL 63.267964 87.236863 \nL 71.857171 80.991698 \nL 81.501624 77.078606 \nL 91.681881 75.555153 \nL 101.906664 76.21461 \nL 111.775409 78.650451 \nL 121.008893 82.353965 \nL 129.448286 86.811467 \nL 137.033158 91.575898 \nL 143.771534 96.30355 \nL 154.921655 104.80757 \nL 166.877696 114.096628 \nL 172.398627 118.125892 \nL 180.756179 124.017314 \nL 181.222766 124.545871 \nL 181.476879 125.029985 \nL 181.536149 125.491327 \nL 181.418281 125.947343 \nL 181.141271 126.411523 \nL 180.183651 127.400444 \nL 178.020756 129.092627 \nL 173.677135 132.370919 \nL 171.28028 134.429234 \nL 169.367543 136.420168 \nL 168.432882 137.66966 \nL 167.795299 138.835358 \nL 167.462285 139.901419 \nL 167.43362 140.852386 \nL 167.704491 141.671949 \nL 168.26764 142.342201 \nL 169.114496 142.843395 \nL 170.235339 143.15404 \nL 171.61858 143.251431 \nL 173.249167 143.112604 \nL 175.106215 142.715844 \nL 177.159888 142.042964 \nL 179.367736 141.082532 \nL 181.670783 139.834155 \nL 183.989981 138.313793 \nL 186.224011 136.559618 \nL 188.249761 134.637312 \nL 189.927142 132.643102 \nL 191.109661 130.702032 \nL 191.471849 129.796386 \nL 191.66126 128.959154 \nL 191.666087 128.208791 \nL 191.477965 127.562475 \nL 191.092595 127.0353 \nL 190.510238 126.639491 \nL 189.735981 126.38374 \nL 188.779787 126.272723 \nL 187.656275 126.306856 \nL 186.384238 126.482347 \nL 183.486158 127.223213 \nL 180.288331 128.398128 \nL 177.002425 129.882738 \nL 173.820173 131.552302 \nL 170.894018 133.301673 \nL 168.329503 135.054297 \nL 166.187622 136.761358 \nL 164.493189 138.395075 \nL 163.245432 139.940394 \nL 162.428122 141.387759 \nL 162.017852 142.728078 \nL 161.990062 143.949788 \nL 162.322946 145.037498 \nL 162.999582 145.971524 \nL 164.008666 146.727825 \nL 165.344132 147.278107 \nL 167.003813 147.589961 \nL 168.987176 147.62713 \nL 171.292028 147.350167 \nL 173.910008 146.717877 \nL 176.82063 145.690107 \nL 179.983738 144.232583 \nL 183.330509 142.324598 \nL 186.753727 139.970078 \nL 190.099107 137.21194 \nL 191.680273 135.709513 \nL 193.160875 134.147932 \nL 194.507906 132.55015 \nL 195.686497 130.943689 \nL 196.660946 129.360346 \nL 197.396072 127.835489 \nL 197.858872 126.40693 \nL 198.020368 125.113338 \nL 197.857602 123.992239 \nL 197.35554 123.077729 \nL 196.508729 122.398107 \nL 195.322483 121.973665 \nL 193.813377 121.814955 \nL 192.008952 121.921789 \nL 189.946567 122.283167 \nL 187.671477 122.878225 \nL 185.23433 123.678062 \nL 180.086505 125.75168 \nL 174.911043 128.212557 \nL 170.043093 130.804236 \nL 165.709395 133.35057 \nL 162.027972 135.760982 \nL 159.02981 138.009612 \nL 156.687679 140.10696 \nL 154.942406 142.076417 \nL 153.722618 143.939862 \nL 152.957762 145.711175 \nL 152.585689 147.394848 \nL 152.556416 148.987114 \nL 152.833466 150.477776 \nL 153.393801 151.851789 \nL 154.227043 153.090235 \nL 155.33441 154.170552 \nL 156.727559 155.066126 \nL 158.427383 155.74531 \nL 160.462657 156.170005 \nL 162.868277 156.293967 \nL 165.682666 156.061037 \nL 168.943716 155.403718 \nL 172.682365 154.242815 \nL 176.91263 152.489399 \nL 179.208328 151.361475 \nL 181.616711 150.051159 \nL 184.127139 148.548632 \nL 186.723993 146.846162 \nL 189.3857 144.939215 \nL 192.083706 142.827812 \nL 194.781513 140.518126 \nL 197.433844 138.024308 \nL 199.986118 135.370374 \nL 202.374409 132.592069 \nL 204.526122 129.738388 \nL 206.361633 126.872392 \nL 207.797125 124.070941 \nL 208.748756 121.422791 \nL 209.13818 119.024707 \nL 208.899125 116.975389 \nL 207.984517 115.367363 \nL 206.373196 114.277597 \nL 204.075123 113.758079 \nL 201.133896 113.828109 \nL 197.625645 114.470073 \nL 193.654049 115.630089 \nL 189.341971 117.223745 \nL 184.820998 119.146201 \nL 180.220616 121.284576 \nL 171.235071 125.78875 \nL 159.456893 132.014609 \nL 150.473832 136.946599 \nL 145.978477 139.606173 \nL 142.475877 141.934814 \nL 139.761941 144.063769 \nL 137.642635 146.084163 \nL 135.947635 148.048704 \nL 133.894688 150.937974 \nL 129.633337 157.378218 \nL 128.222577 159.093072 \nL 126.619621 160.727034 \nL 124.771665 162.262595 \nL 122.625727 163.677043 \nL 120.12778 164.939143 \nL 117.223274 166.0047 \nL 113.85965 166.810845 \nL 111.99104 167.090168 \nL 109.991758 167.268955 \nL 107.858913 167.330774 \nL 105.591612 167.256563 \nL 103.191628 167.02443 \nL 100.664211 166.609534 \nL 98.019041 165.984095 \nL 95.271326 165.117624 \nL 92.443014 163.977447 \nL 89.564078 162.529649 \nL 86.673784 160.740538 \nL 83.821794 158.578803 \nL 81.068915 156.018407 \nL 78.487207 153.042301 \nL 76.159178 149.646869 \nL 74.175672 145.846855 \nL 72.632184 141.680285 \nL 71.623461 137.21258 \nL 71.236444 132.538915 \nL 71.54209 127.783653 \nL 72.586926 123.095898 \nL 74.385669 118.640683 \nL 76.916365 114.586163 \nL 80.119312 111.088241 \nL 83.900465 108.275003 \nL 88.139071 106.233704 \nL 92.698413 105.00294 \nL 97.437764 104.571388 \nL 102.223612 104.883078 \nL 106.938456 105.847727 \nL 111.486346 107.353731 \nL 115.795052 109.28123 \nL 119.815453 111.513286 \nL 123.519009 113.94392 \nL 126.894244 116.482855 \nL 129.942973 119.057297 \nL 132.676758 121.611488 \nL 135.113873 124.104954 \nL 137.276844 126.510021 \nL 140.880837 130.992818 \nL 143.693488 135.001044 \nL 145.909459 138.542223 \nL 149.213123 144.374455 \nL 151.216822 147.817924 \nL 152.514301 149.732417 \nL 153.871059 151.365975 \nL 155.351787 152.727904 \nL 157.014218 153.817203 \nL 158.911954 154.622219 \nL 161.096291 155.120077 \nL 163.616844 155.27595 \nL 166.520615 155.042292 \nL 169.848972 154.358486 \nL 173.63176 153.151679 \nL 177.877482 151.340148 \nL 180.16723 150.181477 \nL 182.558443 148.841311 \nL 185.038597 147.31175 \nL 187.589985 145.587373 \nL 190.188812 143.666387 \nL 192.804282 141.551984 \nL 195.397771 139.253928 \nL 197.922223 136.790246 \nL 200.321891 134.18896 \nL 202.532616 131.489628 \nL 204.482884 128.74445 \nL 206.095846 126.018544 \nL 207.292497 123.389036 \nL 207.996056 120.942516 \nL 208.13748 118.770624 \nL 207.661732 116.963714 \nL 206.534191 115.602924 \nL 204.746284 114.751583 \nL 202.319319 114.447201 \nL 199.30554 114.695607 \nL 195.785807 115.468706 \nL 191.863882 116.706751 \nL 187.658078 118.325012 \nL 183.291525 120.223659 \nL 174.537321 124.454282 \nL 162.658442 130.67434 \nL 153.32489 135.807772 \nL 148.57968 138.603951 \nL 144.860926 141.040465 \nL 141.982186 143.246638 \nL 139.755589 145.320517 \nL 138.010987 147.323682 \nL 136.602895 149.287866 \nL 134.864392 152.182461 \nL 131.671682 157.731354 \nL 130.456101 159.47743 \nL 129.077279 161.155518 \nL 127.486081 162.754437 \nL 125.632222 164.259935 \nL 123.462734 165.652131 \nL 120.921324 166.902014 \nL 117.948987 167.96671 \nL 114.486537 168.783226 \nL 112.554248 169.071297 \nL 110.480136 169.260455 \nL 108.259968 169.333341 \nL 105.891463 169.269603 \nL 103.37503 169.045599 \nL 100.714655 168.634185 \nL 97.918986 168.004631 \nL 95.002581 167.122753 \nL 91.987358 165.951375 \nL 88.904128 164.451235 \nL 85.794181 162.582529 \nL 82.71075 160.307223 \nL 79.720106 157.592336 \nL 76.901984 154.414218 \nL 74.34894 150.763858 \nL 72.164185 146.652918 \nL 70.45748 142.119935 \nL 69.338846 137.235778 \nL 68.910137 132.107034 \nL 69.255026 126.875892 \nL 70.428529 121.715068 \nL 72.447765 116.817182 \nL 75.285873 112.378853 \nL 78.870794 108.581422 \nL 83.089807 105.571468 \nL 87.799456 103.444839 \nL 92.839257 102.237599 \nL 98.046617 101.925564 \nL 103.270343 102.432255 \nL 108.380736 103.642851 \nL 113.27528 105.420914 \nL 117.880136 107.624505 \nL 122.148345 110.119159 \nL 126.056017 112.786638 \nL 129.597648 115.529393 \nL 132.781462 118.271486 \nL 135.625276 120.957091 \nL 138.153112 123.547682 \nL 142.372966 128.356164 \nL 145.674007 132.61158 \nL 149.388559 137.98091 \nL 153.792371 144.625038 \nL 155.331637 146.611397 \nL 156.897159 148.261667 \nL 158.566918 149.590968 \nL 160.406785 150.602228 \nL 162.473557 151.286351 \nL 164.816673 151.622353 \nL 167.478317 151.577684 \nL 170.491524 151.108965 \nL 173.875811 150.163855 \nL 177.629722 148.684982 \nL 181.719756 146.617463 \nL 183.867999 145.349514 \nL 186.065506 143.921769 \nL 188.291978 142.334975 \nL 190.521927 140.593789 \nL 192.724218 138.707829 \nL 194.861768 136.692739 \nL 196.891525 134.571258 \nL 198.764805 132.374103 \nL 200.428144 130.140518 \nL 201.824767 127.918319 \nL 202.89674 125.763173 \nL 203.58785 123.736906 \nL 203.847122 121.904778 \nL 203.63279 120.331608 \nL 202.916345 119.07706 \nL 201.686184 118.190447 \nL 199.950344 117.705724 \nL 197.737707 117.637502 \nL 195.097344 117.978861 \nL 192.09587 118.701518 \nL 188.813018 119.758502 \nL 185.336005 121.089033 \nL 181.753469 122.624776 \nL 174.600433 126.039618 \nL 167.90512 129.532274 \nL 162.012698 132.807492 \nL 157.069296 135.751031 \nL 153.074314 138.372826 \nL 149.940293 140.740196 \nL 147.540479 142.930013 \nL 145.739775 145.004708 \nL 144.411988 147.005391 \nL 143.447795 148.953999 \nL 142.757097 150.858564 \nL 142.081752 153.630616 \nL 141.688699 156.285332 \nL 141.413328 159.609998 \nL 141.232606 164.770326 \nL 140.918107 176.801448 \nL 140.623819 179.119986 \nL 140.243402 180.574256 \nL 139.764323 181.654622 \nL 139.042149 182.693934 \nL 138.266946 183.468154 \nL 137.208104 184.257364 \nL 135.759748 185.080471 \nL 133.776342 185.954779 \nL 131.058616 186.888918 \nL 127.33613 187.866776 \nL 124.122558 188.510005 \nL 120.172725 189.091937 \nL 115.335584 189.522616 \nL 112.53327 189.636419 \nL 109.447595 189.64776 \nL 106.059129 189.521467 \nL 102.351019 189.213164 \nL 98.310971 188.667451 \nL 93.933964 187.816018 \nL 89.225912 186.575858 \nL 84.208424 184.847974 \nL 78.924816 182.517105 \nL 73.447365 179.453358 \nL 67.885523 175.516955 \nL 62.394294 170.567624 \nL 57.181303 164.480378 \nL 52.510014 157.169063 \nL 48.695507 148.617887 \nL 46.088652 138.918482 \nL 45.045005 128.305854 \nL 45.87765 117.181607 \nL 48.798962 106.109159 \nL 53.863706 95.767472 \nL 60.931879 86.860056 \nL 69.668899 79.994008 \nL 79.590523 75.562341 \nL 90.142644 73.669185 \nL 100.791439 74.124736 \nL 111.096187 76.509336 \nL 120.747133 80.279429 \nL 129.567069 84.87717 \nL 137.487895 89.813335 \nL 144.517279 94.71097 \nL 156.129551 103.472242 \nL 164.976093 110.242488 \nL 171.605105 115.047688 \nL 178.267112 119.456933 \nL 180.918342 121.195543 \nL 182.363333 122.429053 \nL 182.683773 122.951766 \nL 182.762229 123.451391 \nL 182.618839 123.950722 \nL 182.274643 124.467276 \nL 181.072976 125.597744 \nL 178.340629 127.600487 \nL 172.845578 131.559176 \nL 169.817888 134.037188 \nL 168.121099 135.642242 \nL 166.743275 137.177813 \nL 165.709413 138.626067 \nL 165.02731 139.97374 \nL 164.69393 141.208898 \nL 164.700581 142.318624 \nL 165.036656 143.287593 \nL 165.691991 144.097361 \nL 166.657947 144.726146 \nL 167.927403 145.14894 \nL 169.493718 145.337858 \nL 171.348738 145.262876 \nL 173.479795 144.893113 \nL 175.865666 144.198974 \nL 178.471498 143.155574 \nL 181.242844 141.74784 \nL 184.099328 139.977611 \nL 186.928989 137.872563 \nL 189.585117 135.496085 \nL 191.888263 132.955816 \nL 192.844743 131.671016 \nL 193.636488 130.407043 \nL 194.238191 129.189663 \nL 194.626388 128.046013 \nL 194.780647 127.003564 \nL 194.684808 126.088872 \nL 194.328172 125.326186 \nL 193.706504 124.736022 \nL 192.822778 124.333849 \nL 191.687515 124.129002 \nL 190.318669 124.124046 \nL 188.741034 124.314579 \nL 186.985181 124.689604 \nL 185.086033 125.232452 \nL 181.009136 126.734544 \nL 176.812166 128.628492 \nL 172.763391 130.726215 \nL 169.066372 132.878822 \nL 165.85036 134.989638 \nL 163.177603 137.008838 \nL 161.059447 138.918861 \nL 159.474265 140.718984 \nL 158.383044 142.413506 \nL 157.741098 144.004708 \nL 157.505923 145.489605 \nL 157.641884 146.859098 \nL 158.122599 148.098258 \nL 158.931727 149.186864 \nL 160.062717 150.099763 \nL 161.51783 150.806863 \nL 163.306574 151.272771 \nL 165.443485 151.45625 \nL 167.945036 151.309734 \nL 170.825278 150.779333 \nL 174.089681 149.806016 \nL 177.726514 148.328916 \nL 181.695228 146.29216 \nL 185.911653 143.656868 \nL 188.070337 142.111734 \nL 190.230939 140.419921 \nL 192.36315 138.590884 \nL 194.431125 136.639851 \nL 196.393464 134.588767 \nL 198.203587 132.467081 \nL 199.810542 130.312226 \nL 201.160421 128.169595 \nL 202.19836 126.091839 \nL 202.87126 124.137268 \nL 203.131026 122.367297 \nL 202.938233 120.842895 \nL 202.265858 119.62023 \nL 201.10263 118.745934 \nL 199.455555 118.252534 \nL 197.351059 118.154776 \nL 194.834453 118.447551 \nL 191.967579 119.105938 \nL 188.824845 120.087522 \nL 185.488111 121.3367 \nL 182.041122 122.7903 \nL 175.130032 126.055639 \nL 168.624246 129.435656 \nL 162.86714 132.639513 \nL 158.013931 135.544818 \nL 154.077328 138.149217 \nL 150.982966 140.509137 \nL 148.615039 142.693998 \nL 146.846901 144.762006 \nL 145.558694 146.752269 \nL 144.645898 148.685934 \nL 144.022266 150.57075 \nL 143.619591 152.40603 \nL 143.320044 155.054411 \nL 143.284388 157.557066 \nL 143.445374 159.893275 \nL 143.773725 162.047171 \nL 144.268339 164.006693 \nL 144.950819 165.760697 \nL 145.863643 167.295254 \nL 146.631043 168.186385 \nL 147.554294 168.96167 \nL 148.664531 169.608458 \nL 149.999663 170.109369 \nL 151.605446 170.440666 \nL 153.536615 170.570085 \nL 155.85791 170.45399 \nL 158.644688 170.033689 \nL 161.982558 169.230814 \nL 165.965051 167.94189 \nL 170.687642 166.032725 \nL 176.235407 163.334315 \nL 179.337157 161.626893 \nL 182.660194 159.644051 \nL 186.19944 157.357452 \nL 189.941676 154.739657 \nL 193.863034 151.766216 \nL 197.926041 148.418618 \nL 202.076345 144.688263 \nL 206.239301 140.581553 \nL 210.316754 136.126092 \nL 214.184614 131.377683 \nL 217.692042 126.42749 \nL 220.66334 121.408084 \nL 222.903842 116.496502 \nL 224.211061 111.911763 \nL 224.391835 107.904044 \nL 223.285147 104.733378 \nL 220.788247 102.637677 \nL 216.881606 101.793623 \nL 211.64601 102.278202 \nL 205.265177 104.042294 \nL 198.009772 106.90719 \nL 190.204311 110.589059 \nL 182.184408 114.746761 \nL 159.578727 126.946921 \nL 153.102523 130.231807 \nL 147.274064 132.988297 \nL 142.088732 135.232379 \nL 137.513083 137.016074 \nL 133.49746 138.408522 \nL 126.917817 140.305533 \nL 121.899659 141.424232 \nL 116.460999 142.362165 \nL 109.042205 143.36661 \nL 106.904104 143.508066 \nL 105.034135 143.424576 \nL 103.352462 143.066144 \nL 102.333502 142.65937 \nL 101.41142 142.11718 \nL 100.607912 141.447503 \nL 99.948891 140.667127 \nL 99.461115 139.801964 \nL 99.168702 138.886536 \nL 99.089716 137.962514 \nL 99.233179 137.0762 \nL 99.596874 136.275131 \nL 100.166286 135.604093 \nL 100.914924 135.10117 \nL 101.805984 134.794385 \nL 102.795142 134.699521 \nL 103.833981 134.819386 \nL 104.87353 135.144563 \nL 105.867434 135.65529 \nL 106.77439 136.324075 \nL 107.559704 137.118514 \nL 108.195951 138.00382 \nL 108.662977 138.944889 \nL 108.947383 139.907719 \nL 109.041778 140.860223 \nL 108.943989 141.772533 \nL 108.656402 142.616948 \nL 108.185526 143.367702 \nL 107.541847 144.000641 \nL 106.73997 144.493023 \nL 105.799044 144.823499 \nL 104.74337 144.972441 \nL 103.603087 144.922664 \nL 102.414763 144.660686 \nL 101.221656 144.178482 \nL 100.073379 143.475751 \nL 99.024689 142.562419 \nL 98.133119 141.461094 \nL 97.455381 140.208914 \nL 97.042611 138.85807 \nL 96.93494 137.474415 \nL 97.15616 136.133701 \nL 97.709488 134.915456 \nL 98.575464 133.895292 \nL 99.712659 133.136894 \nL 101.061272 132.685253 \nL 102.549029 132.562596 \nL 104.098238 132.767686 \nL 105.632708 133.278354 \nL 107.083393 134.056337 \nL 108.392151 135.05313 \nL 109.513458 136.215626 \nL 110.414389 137.490668 \nL 111.073381 138.828155 \nL 111.478339 140.18267 \nL 111.624571 141.513924 \nL 111.512931 142.78633 \nL 111.148393 143.968058 \nL 110.539193 145.02989 \nL 109.69656 145.944015 \nL 108.635092 146.683046 \nL 107.373676 147.219321 \nL 105.936946 147.524705 \nL 104.357092 147.571065 \nL 102.675858 147.331628 \nL 100.946378 146.783439 \nL 99.234391 145.91106 \nL 97.618175 144.711488 \nL 96.186482 143.199917 \nL 95.03381 141.415488 \nL 94.591356 140.44085 \nL 94.252639 139.425586 \nL 94.027194 138.382698 \nL 93.923032 137.326804 \nL 93.946292 136.27386 \nL 94.100895 135.240801 \nL 94.388289 134.245072 \nL 94.807263 133.304092 \nL 95.353867 132.434698 \nL 96.021449 131.652547 \nL 96.800796 130.971576 \nL 97.68041 130.40351 \nL 98.646855 129.957473 \nL 99.685206 129.639756 \nL 100.779516 129.453671 \nL 101.913332 129.399614 \nL 103.070168 129.475206 \nL 104.233953 129.675584 \nL 105.389428 129.99376 \nL 107.620199 130.947466 \nL 109.666284 132.254134 \nL 111.456019 133.82426 \nL 112.941688 135.571215 \nL 114.096132 137.417637 \nL 114.908039 139.298224 \nL 115.377056 141.159798 \nL 115.509488 142.959706 \nL 115.314951 144.663356 \nL 114.804124 146.241486 \nL 113.987572 147.66749 \nL 112.875593 148.914993 \nL 111.479017 149.955713 \nL 109.810927 150.757728 \nL 107.889292 151.284257 \nL 105.740469 151.493189 \nL 103.403522 151.337791 \nL 100.935064 150.769109 \nL 99.675207 150.315013 \nL 98.414058 149.740816 \nL 97.165591 149.04244 \nL 95.945507 148.217155 \nL 94.771167 147.264006 \nL 93.661434 146.184279 \nL 92.636405 144.981994 \nL 91.717013 143.664353 \nL 90.924509 142.242154 \nL 90.279787 140.730103 \nL 89.802618 139.146957 \nL 89.51079 137.515472 \nL 89.4192 135.862086 \nL 89.538966 134.216332 \nL 89.876639 132.609964 \nL 90.433582 131.075806 \nL 91.205564 129.646414 \nL 92.182675 128.352616 \nL 93.349556 127.222088 \nL 94.685925 126.278027 \nL 96.167421 125.538107 \nL 97.766644 125.013805 \nL 99.454327 124.710099 \nL 101.200552 124.625628 \nL 102.975878 124.753212 \nL 104.752358 125.080682 \nL 106.504348 125.591934 \nL 108.209078 126.268038 \nL 109.847018 127.08838 \nL 111.402013 128.031681 \nL 112.861242 129.076882 \nL 114.215037 130.20383 \nL 115.456604 131.393791 \nL 117.58811 133.896681 \nL 119.24504 136.472622 \nL 120.439164 139.038385 \nL 121.194453 141.536155 \nL 121.539143 143.927556 \nL 121.500206 146.18764 \nL 121.099914 148.299641 \nL 120.354082 150.250592 \nL 119.271587 152.027711 \nL 117.854913 153.6153 \nL 116.101607 154.991919 \nL 114.00664 156.127677 \nL 111.565887 156.981546 \nL 108.781031 157.498829 \nL 107.263283 157.609911 \nL 105.666255 157.609185 \nL 103.995131 157.485315 \nL 102.257097 157.226058 \nL 100.461749 156.818442 \nL 98.621492 156.249027 \nL 96.751953 155.504319 \nL 94.872353 154.571318 \nL 93.00582 153.438238 \nL 91.179588 152.095418 \nL 89.425015 150.536416 \nL 87.777367 148.759281 \nL 86.275289 146.767935 \nL 84.959898 144.573572 \nL 83.873459 142.195963 \nL 83.057633 139.664475 \nL 82.551326 137.018599 \nL 82.388263 134.307772 \nL 82.594473 131.59033 \nL 83.185892 128.931432 \nL 84.166446 126.400046 \nL 85.526818 124.065098 \nL 87.24419 121.991173 \nL 89.283055 120.234229 \nL 91.597084 118.837848 \nL 94.131838 117.830522 \nL 96.828058 117.224312 \nL 99.625102 117.015038 \nL 102.464183 117.183836 \nL 105.291082 117.699864 \nL 108.058156 118.523596 \nL 110.725545 119.610371 \nL 113.261649 120.913659 \nL 115.642983 122.387825 \nL 117.85358 123.990249 \nL 119.884098 125.682692 \nL 121.73078 127.432036 \nL 123.394393 129.210511 \nL 124.879202 130.995512 \nL 126.192047 132.769178 \nL 128.337446 136.231368 \nL 129.909652 139.526858 \nL 130.990472 142.624285 \nL 131.654827 145.516431 \nL 131.965673 148.2098 \nL 131.971925 150.717704 \nL 131.708174 153.055958 \nL 131.195353 155.240203 \nL 130.441782 157.284227 \nL 129.444261 159.198782 \nL 128.189034 160.990573 \nL 126.652587 162.661094 \nL 124.802355 164.205058 \nL 122.59754 165.608141 \nL 119.990351 166.843738 \nL 116.928249 167.868395 \nL 113.358016 168.615602 \nL 111.367207 168.856144 \nL 109.232926 168.987827 \nL 106.952317 168.992076 \nL 104.524817 168.847195 \nL 101.952962 168.528129 \nL 99.24337 168.006334 \nL 96.40789 167.249813 \nL 93.46494 166.223429 \nL 90.440968 164.889587 \nL 87.371988 163.209469 \nL 84.305067 161.144947 \nL 81.299571 158.661349 \nL 78.427893 155.731192 \nL 75.775329 152.33891 \nL 73.438656 148.486431 \nL 71.523034 144.199189 \nL 70.136853 139.531848 \nL 69.384478 134.572639 \nL 69.357128 129.444919 \nL 70.122788 124.304597 \nL 71.716485 119.332345 \nL 74.132751 114.72045 \nL 77.322058 110.655431 \nL 81.192523 107.298854 \nL 85.617127 104.769873 \nL 90.445441 103.132901 \nL 95.517812 102.393039 \nL 100.679399 102.499928 \nL 105.791759 103.35866 \nL 110.740563 104.845012 \nL 115.439063 106.821653 \nL 119.827857 109.152412 \nL 123.872102 111.712935 \nL 127.55731 114.39708 \nL 130.884763 117.119507 \nL 133.867202 119.815357 \nL 136.525147 122.438111 \nL 138.883953 124.956559 \nL 142.816985 129.613098 \nL 145.895316 133.725862 \nL 149.376632 138.91865 \nL 153.581454 145.367645 \nL 155.08456 147.302632 \nL 156.63033 148.912344 \nL 158.293174 150.209324 \nL 160.136669 151.19421 \nL 162.21643 151.855776 \nL 164.581659 152.170947 \nL 167.275092 152.10495 \nL 170.330951 151.611871 \nL 173.770357 150.636378 \nL 177.593575 149.117528 \nL 181.768433 146.996279 \nL 183.965028 145.694924 \nL 186.214676 144.22869 \nL 188.496722 142.597868 \nL 190.785088 140.806774 \nL 193.047759 138.864871 \nL 195.246441 136.787927 \nL 197.336485 134.599166 \nL 199.267219 132.330246 \nL 200.982803 130.021894 \nL 202.42375 127.723997 \nL 203.529186 125.494888 \nL 204.239894 123.399596 \nL 204.502092 121.506922 \nL 204.271662 119.885314 \nL 203.51852 118.597769 \nL 202.230575 117.696204 \nL 200.416641 117.216038 \nL 198.107735 117.171881 \nL 195.356328 117.555214 \nL 192.233406 118.334654 \nL 188.82363 119.458982 \nL 185.219191 120.86257 \nL 181.513271 122.472238 \nL 174.13951 126.021448 \nL 167.270747 129.61447 \nL 161.253782 132.952105 \nL 156.226411 135.927772 \nL 152.175949 138.562782 \nL 149.003131 140.934381 \nL 146.571377 143.126165 \nL 144.738015 145.204307 \nL 143.37116 147.211651 \nL 142.35714 149.170741 \nL 141.602325 151.089768 \nL 140.797151 153.891169 \nL 140.061638 157.456265 \nL 138.809781 163.886296 \nL 137.976647 166.746337 \nL 137.150434 168.754427 \nL 136.076671 170.662012 \nL 135.181428 171.885837 \nL 134.106185 173.076319 \nL 132.812516 174.236402 \nL 131.254155 175.366692 \nL 129.375538 176.463773 \nL 127.110368 177.517579 \nL 124.380424 178.507338 \nL 121.095129 179.395405 \nL 117.152783 180.117984 \nL 112.44518 180.571577 \nL 109.771294 180.649738 \nL 106.868497 180.593925 \nL 103.728079 180.370562 \nL 100.34527 179.939031 \nL 96.721071 179.250772 \nL 92.864576 178.248576 \nL 88.795862 176.866276 \nL 84.549479 175.029135 \nL 80.178443 172.655387 \nL 75.758565 169.659459 \nL 71.392637 165.95757 \nL 67.213782 161.476354 \nL 63.386795 156.165005 \nL 60.105995 150.010882 \nL 57.587867 143.057573 \nL 56.056934 135.422864 \nL 55.724298 127.312285 \nL 56.760065 119.022405 \nL 59.263564 110.928015 \nL 63.237752 103.449568 \nL 68.575602 97.002722 \nL 75.064586 91.938547 \nL 82.410762 88.488938 \nL 90.277753 86.732402 \nL 98.330779 86.590178 \nL 106.274793 87.85261 \nL 113.878897 90.226056 \nL 120.984727 93.385806 \nL 127.501624 97.021693 \nL 133.393936 100.868605 \nL 138.665785 104.720659 \nL 143.347 108.43212 \nL 151.121846 115.103485 \nL 159.58848 122.866065 \nL 166.829374 129.541913 \nL 170.413565 132.56344 \nL 172.271629 133.909057 \nL 173.8479 134.843213 \nL 175.22589 135.444433 \nL 176.46153 135.773719 \nL 177.588652 135.879884 \nL 178.623509 135.803849 \nL 180.00529 135.426973 \nL 181.150286 134.83632 \nL 181.996678 134.145323 \nL 182.47613 133.467378 \nL 182.56477 133.076052 \nL 182.458947 132.76608 \nL 182.16036 132.559719 \nL 181.680769 132.472265 \nL 180.672119 132.577914 \nL 179.415989 132.95705 \nL 178.048398 133.566677 \nL 176.295631 134.623719 \nL 175.195931 135.503207 \nL 174.386024 136.377118 \nL 173.926713 137.181097 \nL 173.849073 137.85846 \nL 174.012984 138.214827 \nL 174.345504 138.479474 \nL 174.838719 138.640596 \nL 175.852769 138.666581 \nL 177.143022 138.412919 \nL 178.628318 137.871733 \nL 180.201302 137.05884 \nL 181.727969 136.021256 \nL 183.052762 134.842373 \nL 184.012371 133.64105 \nL 184.374862 132.898076 \nL 184.475055 132.252894 \nL 184.292793 131.746117 \nL 183.824626 131.410654 \nL 183.085607 131.268087 \nL 182.109007 131.326412 \nL 180.9438 131.579687 \nL 178.97595 132.282392 \nL 176.942583 133.283237 \nL 175.054214 134.466472 \nL 173.480919 135.720651 \nL 172.340146 136.950237 \nL 171.85482 137.716887 \nL 171.60175 138.417367 \nL 171.583908 139.033299 \nL 171.799216 139.547359 \nL 172.241541 139.942894 \nL 172.901213 140.203855 \nL 173.765047 140.315061 \nL 174.815875 140.262771 \nL 176.031659 140.035667 \nL 178.101095 139.352036 \nL 180.348871 138.258667 \nL 182.600824 136.798439 \nL 183.996512 135.66869 \nL 185.220725 134.466694 \nL 186.194952 133.252465 \nL 186.843828 132.096302 \nL 187.103179 131.073388 \nL 187.071974 130.63485 \nL 186.928871 130.256021 \nL 186.672801 129.943998 \nL 186.304822 129.704579 \nL 185.248237 129.459048 \nL 183.810335 129.533381 \nL 182.071864 129.914354 \nL 180.134045 130.565349 \nL 178.106929 131.433892 \nL 175.13014 133.01509 \nL 172.494486 134.763724 \nL 171.033839 135.946498 \nL 169.856701 137.102807 \nL 168.984125 138.206522 \nL 168.424663 139.236246 \nL 168.178162 140.173056 \nL 168.239005 140.998736 \nL 168.598511 141.694622 \nL 169.246404 142.240955 \nL 170.171365 142.616758 \nL 171.3607 142.800106 \nL 172.799199 142.768801 \nL 174.467227 142.501572 \nL 176.338124 141.97987 \nL 178.375058 141.190474 \nL 180.527551 140.128995 \nL 182.728153 138.804298 \nL 184.889958 137.243544 \nL 186.906089 135.497153 \nL 188.652431 133.642351 \nL 189.994991 131.783454 \nL 190.802671 130.046716 \nL 190.970036 129.266798 \nL 190.964935 128.568317 \nL 190.780073 127.966789 \nL 190.411854 127.475813 \nL 189.860802 127.106394 \nL 189.131782 126.866379 \nL 188.23404 126.760043 \nL 187.180983 126.78789 \nL 184.68065 127.229702 \nL 181.800636 128.127226 \nL 178.733947 129.379107 \nL 175.669307 130.870525 \nL 172.76899 132.494431 \nL 170.156181 134.164946 \nL 167.912131 135.821398 \nL 166.080659 137.425272 \nL 164.676539 138.953657 \nL 163.694861 140.392309 \nL 163.119474 141.730054 \nL 162.929631 142.955075 \nL 163.104675 144.052842 \nL 163.626907 145.005152 \nL 164.48296 145.789844 \nL 165.663941 146.380804 \nL 167.164536 146.748115 \nL 168.981165 146.858398 \nL 171.109149 146.675468 \nL 173.538761 146.161651 \nL 176.25003 145.280233 \nL 179.206171 143.999597 \nL 182.34575 142.299751 \nL 185.574235 140.181633 \nL 188.756273 137.679217 \nL 191.711311 134.873092 \nL 193.035396 133.397075 \nL 194.216427 131.902181 \nL 195.222308 130.415585 \nL 196.020974 128.96785 \nL 196.58171 127.592093 \nL 196.876691 126.322778 \nL 196.882666 125.194156 \nL 196.582631 124.238417 \nL 195.967381 123.483677 \nL 195.036723 122.952031 \nL 193.80022 122.657843 \nL 192.277281 122.606559 \nL 190.496586 122.794227 \nL 188.494793 123.207789 \nL 186.314664 123.826203 \nL 184.002804 124.622237 \nL 179.174955 126.620809 \nL 174.371941 128.948125 \nL 169.884672 131.385417 \nL 165.90794 133.78396 \nL 162.542577 136.066498 \nL 159.814832 138.208917 \nL 157.701086 140.216787 \nL 156.150273 142.106205 \nL 155.100886 143.891951 \nL 154.492328 145.582066 \nL 154.271661 147.176531 \nL 154.397047 148.668008 \nL 154.839047 150.04315 \nL 155.580624 151.283705 \nL 156.61645 152.367102 \nL 157.951829 153.26638 \nL 159.601384 153.949577 \nL 161.587469 154.37868 \nL 163.938078 154.508305 \nL 166.68391 154.284411 \nL 169.853975 153.643435 \nL 173.468972 152.512674 \nL 177.531424 150.813066 \nL 182.011527 148.466268 \nL 184.385426 147.029133 \nL 186.827957 145.408604 \nL 189.316991 143.602907 \nL 191.824056 141.614784 \nL 194.313621 139.4529 \nL 196.742523 137.133326 \nL 199.059733 134.681073 \nL 201.206577 132.131479 \nL 203.117613 129.531194 \nL 204.722361 126.938513 \nL 205.948009 124.422686 \nL 206.723178 122.061875 \nL 206.9827 119.939493 \nL 206.673102 118.138881 \nL 205.758305 116.736559 \nL 204.224816 115.794718 \nL 202.085518 115.353996 \nL 199.38122 115.427799 \nL 196.17936 115.999487 \nL 192.56972 117.023305 \nL 188.657635 118.429147 \nL 184.555632 120.1305 \nL 180.37485 122.034077 \nL 172.17111 126.096383 \nL 161.303841 131.876113 \nL 152.907314 136.641673 \nL 148.673774 139.289544 \nL 145.372176 141.644417 \nL 142.829057 143.81422 \nL 140.874343 145.877316 \nL 139.356077 147.881074 \nL 138.145441 149.848577 \nL 136.680163 152.744781 \nL 133.619717 159.167659 \nL 132.032678 161.725872 \nL 130.773786 163.353097 \nL 129.303613 164.910892 \nL 127.575134 166.390693 \nL 125.536435 167.779074 \nL 123.12983 169.0546 \nL 120.291859 170.183456 \nL 116.954758 171.1134 \nL 113.050371 171.765615 \nL 110.865881 171.953122 \nL 108.518113 172.024125 \nL 106.003025 171.956235 \nL 103.319346 171.723105 \nL 100.469601 171.294092 \nL 97.461386 170.634024 \nL 94.308874 169.703215 \nL 91.034574 168.457835 \nL 87.671287 166.850818 \nL 84.264171 164.833524 \nL 80.872708 162.358389 \nL 77.572323 159.382816 \nL 74.455229 155.874452 \nL 71.629943 151.817887 \nL 69.218883 147.222495 \nL 67.353405 142.130679 \nL 66.165887 136.625335 \nL 65.778854 130.83464 \nL 66.291886 124.932127 \nL 67.767906 119.129965 \nL 70.22124 113.664504 \nL 73.610213 108.77458 \nL 77.836698 104.675575 \nL 82.753584 101.533828 \nL 88.179357 99.446974 \nL 93.917065 98.434641 \nL 99.773796 98.441407 \nL 105.577104 99.350663 \nL 111.185915 101.005407 \nL 116.495266 103.230906 \nL 121.435704 105.854713 \nL 125.969046 108.72135 \nL 130.082331 111.700713 \nL 133.781448 114.690978 \nL 137.085382 117.617457 \nL 140.021486 120.429092 \nL 144.920886 125.594545 \nL 148.752464 130.082375 \nL 153.065017 135.590243 \nL 157.260797 140.993219 \nL 159.064241 143.004195 \nL 160.834577 144.614605 \nL 162.663308 145.850514 \nL 164.622677 146.723897 \nL 166.768888 147.233978 \nL 169.143774 147.368833 \nL 171.774606 147.107453 \nL 174.671837 146.422708 \nL 177.824592 145.28584 \nL 181.193886 143.673286 \nL 184.703978 141.576665 \nL 188.233047 139.016377 \nL 191.605599 136.058261 \nL 193.163047 134.467292 \nL 194.590824 132.830663 \nL 195.853061 131.176106 \nL 196.912617 129.536011 \nL 197.732436 127.946783 \nL 198.277225 126.447786 \nL 198.515405 125.079762 \nL 198.421218 123.882781 \nL 197.976819 122.89385 \nL 197.174142 122.144356 \nL 196.016305 121.657616 \nL 194.518331 121.446857 \nL 192.707006 121.51396 \nL 190.619836 121.849195 \nL 188.303114 122.432005 \nL 185.809337 123.232861 \nL 180.513525 125.341857 \nL 175.163343 127.867259 \nL 170.115879 130.533715 \nL 165.613835 133.151097 \nL 161.783813 135.622014 \nL 158.659134 137.919721 \nL 156.21076 140.057244 \nL 154.375492 142.061704 \nL 153.077108 143.958537 \nL 152.240187 145.764505 \nL 151.798078 147.486282 \nL 151.696804 149.121775 \nL 151.896388 150.662231 \nL 152.37073 152.094068 \nL 153.106749 153.400045 \nL 154.103279 154.559666 \nL 155.369921 155.548887 \nL 156.925952 156.339246 \nL 158.799208 156.896492 \nL 161.024753 157.178852 \nL 163.642985 157.13507 \nL 166.696648 156.702502 \nL 170.225964 155.805748 \nL 174.260777 154.356789 \nL 178.808341 152.25825 \nL 181.266167 150.934449 \nL 183.835152 149.412442 \nL 186.500589 147.682999 \nL 189.241684 145.739929 \nL 192.030419 143.581477 \nL 194.83048 141.212023 \nL 197.596251 138.644033 \nL 200.272122 135.900159 \nL 202.792254 133.01534 \nL 205.081081 130.038644 \nL 207.054812 127.034428 \nL 208.624217 124.082395 \nL 209.698884 121.275941 \nL 210.193016 118.718336 \nL 210.032543 116.516449 \nL 209.16297 114.772032 \nL 207.557007 113.571387 \nL 205.220727 112.974683 \nL 202.19684 113.006885 \nL 198.564026 113.652434 \nL 194.431828 114.855283 \nL 189.931611 116.52489 \nL 185.204982 118.54725 \nL 180.39169 120.798848 \nL 170.993973 125.529045 \nL 155.267748 133.832556 \nL 146.917338 138.408718 \nL 142.805395 140.875318 \nL 139.612121 143.064331 \nL 137.122188 145.097659 \nL 135.141844 147.051329 \nL 133.506118 148.964098 \nL 130.747924 152.704811 \nL 128.737789 155.408931 \nL 127.281099 157.136905 \nL 125.657592 158.784382 \nL 123.810373 160.330397 \nL 121.685317 161.74906 \nL 119.229906 163.006557 \nL 116.393581 164.057063 \nL 113.130137 164.837594 \nL 111.326214 165.100745 \nL 109.402982 165.26185 \nL 107.358882 165.305387 \nL 105.194403 165.213574 \nL 102.912684 164.966244 \nL 100.520236 164.540819 \nL 98.027776 163.912421 \nL 95.451164 163.054164 \nL 92.812417 161.93775 \nL 90.14074 160.534423 \nL 87.473502 158.816374 \nL 84.857013 156.758709 \nL 82.346959 154.342009 \nL 80.008233 151.55551 \nL 77.913976 148.400776 \nL 76.143533 144.895641 \nL 74.779131 141.077984 \nL 73.901247 137.008705 \nL 73.582747 132.773149 \nL 73.882264 128.480136 \nL 74.83752 124.257949 \nL 76.459588 120.246994 \nL 78.729193 116.589485 \nL 81.595935 113.417322 \nL 84.980966 110.839843 \nL 88.78291 108.933575 \nL 92.886222 107.735818 \nL 97.170642 107.243173 \nL 101.520238 107.41508 \nL 105.830828 108.181338 \nL 110.014994 109.452021 \nL 114.004497 111.127791 \nL 117.750441 113.109123 \nL 121.221755 115.303358 \nL 124.402665 117.629265 \nL 127.289768 120.019234 \nL 129.88912 122.419633 \nL 132.213623 124.789843 \nL 134.280805 127.100593 \nL 137.726232 131.471498 \nL 140.400439 135.451722 \nL 142.475839 139.029162 \nL 144.800237 143.690827 \nL 149.04402 152.797971 \nL 150.086751 154.46452 \nL 151.235791 155.915293 \nL 152.538166 157.151248 \nL 154.03996 158.165256 \nL 155.788411 158.941407 \nL 157.83338 159.453909 \nL 160.228068 159.665572 \nL 163.028656 159.525931 \nL 166.292361 158.969191 \nL 170.073059 157.91259 \nL 174.413175 156.256181 \nL 176.799947 155.167794 \nL 179.330112 153.886066 \nL 181.998476 152.396202 \nL 184.795129 150.684375 \nL 187.704265 148.738773 \nL 190.702833 146.550989 \nL 193.759136 144.117773 \nL 196.831373 141.443192 \nL 199.866345 138.541131 \nL 202.798467 135.438066 \nL 205.549385 132.175857 \nL 208.028554 128.814226 \nL 210.135135 125.432338 \nL 211.761638 122.128851 \nL 212.799576 119.019618 \nL 213.14723 116.232298 \nL 212.719139 113.8975 \nL 211.456482 112.136647 \nL 209.336893 111.047751 \nL 206.381809 110.691257 \nL 202.659376 111.078927 \nL 198.281562 112.168873 \nL 193.395194 113.868676 \nL 188.168136 116.046775 \nL 182.773142 118.549918 \nL 172.105539 123.925665 \nL 147.382948 136.720851 \nL 139.881572 140.638633 \nL 136.239403 142.755015 \nL 133.384707 144.671667 \nL 131.090268 146.488016 \nL 128.290039 149.123562 \nL 123.322256 154.098498 \nL 121.498937 155.600062 \nL 119.474736 156.973942 \nL 117.195805 158.181463 \nL 114.617321 159.175129 \nL 111.70471 159.895269 \nL 108.437387 160.266337 \nL 106.669703 160.292165 \nL 104.815558 160.193543 \nL 102.879929 159.955332 \nL 100.870602 159.561172 \nL 98.798686 158.993692 \nL 96.679174 158.234883 \nL 94.531499 157.26664 \nL 92.380048 156.071555 \nL 90.254593 154.633956 \nL 88.190533 152.941253 \nL 86.228862 150.985568 \nL 84.415776 148.765618 \nL 82.801761 146.288746 \nL 81.440115 143.572961 \nL 80.384794 140.64874 \nL 79.687639 137.560265 \nL 79.395058 134.365767 \nL 79.54442 131.13664 \nL 80.160501 127.955034 \nL 81.252416 124.909944 \nL 82.811541 122.091861 \nL 84.810831 119.586557 \nL 87.205744 117.468693 \nL 89.936804 115.79613 \nL 92.933529 114.60579 \nL 96.119207 113.911634 \nL 99.41589 113.705049 \nL 102.749018 113.957379 \nL 106.051145 114.624154 \nL 109.264523 115.650136 \nL 112.342473 116.974577 \nL 115.249657 118.535857 \nL 117.961509 120.275254 \nL 120.463095 122.139538 \nL 122.747656 124.08249 \nL 124.81506 126.065491 \nL 126.670308 128.05741 \nL 128.322174 130.034014 \nL 129.782043 131.977121 \nL 132.178767 135.714744 \nL 133.971608 139.210814 \nL 135.269525 142.447964 \nL 136.169882 145.432586 \nL 136.7543 148.182998 \nL 137.087747 150.722358 \nL 137.219431 153.074726 \nL 137.184511 155.262987 \nL 136.86733 158.282448 \nL 136.260777 161.038709 \nL 135.69428 162.754177 \nL 134.986647 164.385818 \nL 134.12054 165.943172 \nL 133.071896 167.433647 \nL 131.80957 168.862134 \nL 130.294726 170.230228 \nL 128.480069 171.534859 \nL 126.309074 172.76609 \nL 123.715467 173.903708 \nL 120.623418 174.912062 \nL 116.949266 175.73252 \nL 112.606149 176.272731 \nL 110.157969 176.396154 \nL 107.513828 176.392033 \nL 104.667754 176.232222 \nL 101.617209 175.883141 \nL 98.364506 175.305197 \nL 94.918594 174.452385 \nL 91.297216 173.272188 \nL 87.529457 171.706032 \nL 83.658635 169.690546 \nL 79.74534 167.160029 \nL 75.870371 164.050487 \nL 72.137048 160.305707 \nL 68.67221 155.885597 \nL 65.624925 150.776804 \nL 63.161884 145.004999 \nL 61.45845 138.647367 \nL 60.684882 131.842827 \nL 60.988172 124.796546 \nL 62.471446 117.775057 \nL 65.174412 111.089103 \nL 69.059539 105.063957 \nL 74.008393 100.000684 \nL 79.830734 96.135768 \nL 86.28561 93.608632 \nL 93.110035 92.445389 \nL 100.048791 92.562813 \nL 106.87892 93.790427 \nL 113.424852 95.90366 \nL 119.563415 98.659133 \nL 125.220604 101.824465 \nL 130.36338 105.198394 \nL 134.989622 108.620522 \nL 139.118527 111.972672 \nL 142.782633 115.174711 \nL 148.879085 120.956097 \nL 153.620071 125.816416 \nL 163.828302 136.606688 \nL 165.833375 138.344582 \nL 167.708614 139.631185 \nL 169.546462 140.514289 \nL 171.411676 141.026431 \nL 173.344957 141.18894 \nL 175.365198 141.016067 \nL 177.470414 140.519297 \nL 179.637628 139.712064 \nL 181.8222 138.61494 \nL 183.957281 137.261099 \nL 185.95446 135.701608 \nL 187.706767 134.009433 \nL 189.09533 132.280678 \nL 190.000523 130.631281 \nL 190.238001 129.875846 \nL 190.31741 129.187765 \nL 190.230878 128.58201 \nL 189.973672 128.07208 \nL 189.544611 127.669407 \nL 188.946346 127.382799 \nL 188.185474 127.218022 \nL 187.272463 127.177521 \nL 185.049398 127.462274 \nL 182.42337 128.192312 \nL 179.568609 129.28446 \nL 176.662867 130.636577 \nL 173.865789 132.147362 \nL 171.304747 133.730617 \nL 169.069419 135.321577 \nL 167.213693 136.876261 \nL 165.762084 138.366671 \nL 164.717924 139.774722 \nL 164.071291 141.086861 \nL 163.805633 142.290127 \nL 163.902653 143.36977 \nL 164.345495 144.308007 \nL 165.120435 145.083539 \nL 166.217315 145.671453 \nL 167.628901 146.043397 \nL 169.349272 146.167936 \nL 171.371229 146.011307 \nL 173.682656 145.538758 \nL 176.26174 144.716955 \nL 179.070979 143.517901 \nL 182.050172 141.924924 \nL 185.108953 139.941091 \nL 188.120205 137.599905 \nL 190.916574 134.977051 \nL 193.293482 132.20031 \nL 194.253546 130.809406 \nL 195.022471 129.452632 \nL 195.572341 128.15985 \nL 195.877798 126.962125 \nL 195.917506 125.890401 \nL 195.675614 124.973908 \nL 195.143094 124.238457 \nL 194.318831 123.704735 \nL 193.210308 123.386845 \nL 191.833766 123.291199 \nL 190.213772 123.416029 \nL 188.382215 123.751506 \nL 186.376769 124.280577 \nL 182.012215 125.824072 \nL 177.461827 127.827783 \nL 173.035745 130.070769 \nL 168.971767 132.375936 \nL 165.421147 134.629089 \nL 162.456026 136.77381 \nL 160.088336 138.793763 \nL 158.291179 140.693405 \nL 157.01735 142.483327 \nL 156.213089 144.171606 \nL 155.827166 145.760032 \nL 155.816207 147.243334 \nL 156.147354 148.609814 \nL 156.799172 149.842243 \nL 157.761462 150.918541 \nL 159.034438 151.811962 \nL 160.62744 152.490743 \nL 162.55725 152.917385 \nL 164.84583 153.047685 \nL 167.517159 152.829851 \nL 170.592668 152.204137 \nL 174.084579 151.103782 \nL 177.9863 149.458345 \nL 182.259095 147.201182 \nL 184.509537 145.826626 \nL 186.814643 144.283176 \nL 189.152212 142.571066 \nL 191.494305 140.694938 \nL 193.80669 138.665025 \nL 196.048492 136.498405 \nL 198.172127 134.22021 \nL 200.123704 131.864676 \nL 201.844002 129.475763 \nL 203.270179 127.107171 \nL 204.338296 124.821442 \nL 204.986704 122.687911 \nL 205.160161 120.779355 \nL 204.81446 119.167366 \nL 203.921078 117.916683 \nL 202.4713 117.079085 \nL 200.479062 116.687661 \nL 197.981967 116.752496 \nL 195.039967 117.258686 \nL 191.731707 118.167284 \nL 188.148907 119.419274 \nL 184.38955 120.941908 \nL 176.723014 124.485661 \nL 169.398978 128.224192 \nL 162.864142 131.763695 \nL 157.329963 134.929611 \nL 152.825128 137.711898 \nL 149.266074 140.183855 \nL 146.515844 142.438843 \nL 144.423069 144.556398 \nL 142.843806 146.591115 \nL 141.651731 148.573971 \nL 140.741304 150.518382 \nL 139.721803 153.366498 \nL 138.452191 157.894473 \nL 137.460981 161.279514 \nL 136.579785 163.670429 \nL 135.485521 165.938346 \nL 134.592769 167.385838 \nL 133.533422 168.784629 \nL 132.271211 170.136254 \nL 130.763547 171.440226 \nL 128.960181 172.692405 \nL 126.801964 173.882621 \nL 124.219914 174.991107 \nL 121.135004 175.983225 \nL 117.459462 176.801733 \nL 113.100909 177.355714 \nL 110.637506 177.492231 \nL 107.971662 177.50535 \nL 105.09611 177.366735 \nL 102.006852 177.04238 \nL 98.704613 176.491937 \nL 95.196655 175.668185 \nL 91.499018 174.516795 \nL 87.639204 172.97663 \nL 83.659243 170.980829 \nL 79.619023 168.459138 \nL 75.599581 165.341866 \nL 71.70588 161.566037 \nL 68.068278 157.084009 \nL 64.841749 151.874722 \nL 62.201597 145.956999 \nL 60.334509 139.403505 \nL 59.424245 132.352718 \nL 59.632257 125.015199 \nL 61.075127 117.669833 \nL 63.802647 110.646651 \nL 67.781663 104.29532 \nL 72.890921 98.942903 \nL 78.93011 94.848844 \nL 85.642515 92.168036 \nL 92.746562 90.931783 \nL 99.968845 91.051374 \nL 107.071293 92.342345 \nL 113.867793 94.561316 \nL 120.229403 97.445236 \nL 126.080382 100.744328 \nL 131.388782 104.24398 \nL 136.155202 107.775002 \nL 140.402221 111.214511 \nL 144.165787 114.480826 \nL 150.417002 120.325352 \nL 157.276645 127.246397 \nL 164.543438 134.648854 \nL 166.659786 136.51823 \nL 168.561607 137.905325 \nL 170.353844 138.873722 \nL 172.110453 139.46946 \nL 173.878962 139.725683 \nL 175.683785 139.667153 \nL 177.528365 139.314637 \nL 179.396444 138.689253 \nL 181.252835 137.816803 \nL 183.044345 136.731984 \nL 184.701497 135.482013 \nL 186.141955 134.12904 \nL 187.276295 132.750353 \nL 188.016544 131.435455 \nL 188.287125 130.279387 \nL 188.229048 129.789676 \nL 188.036937 129.372559 \nL 187.710017 129.036627 \nL 187.250207 128.788696 \nL 186.662191 128.63353 \nL 185.133725 128.609345 \nL 183.212857 128.957162 \nL 181.017691 129.637446 \nL 178.681339 130.587439 \nL 176.336025 131.733653 \nL 174.099712 133.003623 \nL 172.067557 134.334161 \nL 170.308681 135.675024 \nL 168.867365 136.988666 \nL 167.767046 138.247582 \nL 167.015541 139.430804 \nL 166.610233 140.520624 \nL 166.542506 141.500073 \nL 166.801074 142.35128 \nL 167.374109 143.054559 \nL 168.250251 143.588046 \nL 169.418575 143.927782 \nL 170.86762 144.048154 \nL 172.583512 143.92275 \nL 174.54722 143.525806 \nL 176.730989 142.834484 \nL 179.094036 141.832206 \nL 181.577801 140.513334 \nL 184.101351 138.889201 \nL 186.55795 136.99512 \nL 188.814391 134.897328 \nL 190.715065 132.697804 \nL 192.092831 130.534007 \nL 192.53469 129.516257 \nL 192.78773 128.570271 \nL 192.837274 127.717663 \nL 192.672454 126.978818 \nL 192.28702 126.371878 \nL 191.67998 125.911747 \nL 190.856023 125.609217 \nL 189.825638 125.47031 \nL 188.604892 125.495933 \nL 187.214913 125.68186 \nL 184.031668 126.494472 \nL 180.508552 127.792822 \nL 176.888611 129.429257 \nL 173.389994 131.257617 \nL 170.182832 133.157873 \nL 167.381002 135.046413 \nL 165.046103 136.873754 \nL 163.198417 138.615308 \nL 161.829999 140.260713 \nL 160.916726 141.805053 \nL 160.42782 143.243074 \nL 160.332571 144.566106 \nL 160.604575 145.760801 \nL 161.223997 146.808884 \nL 162.178358 147.687253 \nL 163.462226 148.368107 \nL 165.076017 148.818967 \nL 167.023956 149.002637 \nL 169.311103 148.877362 \nL 171.939213 148.397506 \nL 174.901068 147.515357 \nL 178.172972 146.184803 \nL 181.705154 144.367877 \nL 185.410353 142.045211 \nL 189.151732 139.231063 \nL 190.977074 137.657986 \nL 192.73279 135.992411 \nL 194.384454 134.254274 \nL 195.894216 132.46907 \nL 197.221587 130.667994 \nL 198.32462 128.887692 \nL 199.161512 127.16953 \nL 199.692602 125.558268 \nL 199.882704 124.100135 \nL 199.703608 122.840324 \nL 199.13658 121.820049 \nL 198.174503 121.073437 \nL 196.823471 120.624644 \nL 195.103458 120.485507 \nL 193.047935 120.654287 \nL 190.702335 121.115609 \nL 188.121519 121.841822 \nL 185.366474 122.795554 \nL 179.586321 125.208457 \nL 173.837499 127.996286 \nL 168.494914 130.859922 \nL 163.795781 133.610024 \nL 159.847298 136.164606 \nL 156.658643 138.516184 \nL 154.1779 140.694201 \nL 152.322963 142.737065 \nL 151.003192 144.676854 \nL 150.132663 146.533814 \nL 149.637217 148.316456 \nL 149.457418 150.024024 \nL 149.549102 151.649337 \nL 149.882641 153.18106 \nL 150.441683 154.605146 \nL 151.221808 155.905413 \nL 152.229326 157.063424 \nL 153.480313 158.057777 \nL 154.999886 158.862909 \nL 156.821575 159.447471 \nL 158.986635 159.772325 \nL 161.542941 159.788193 \nL 164.542969 159.433131 \nL 168.04013 158.630127 \nL 172.082281 157.285621 \nL 176.700893 155.290339 \nL 179.227657 154.011465 \nL 181.893842 152.525039 \nL 184.689718 150.817004 \nL 187.599702 148.875273 \nL 190.601022 146.69111 \nL 193.662287 144.260882 \nL 196.742027 141.588189 \nL 199.787374 138.686387 \nL 202.733048 135.581359 \nL 205.500924 132.314346 \nL 208.000556 128.944455 \nL 210.131021 125.550319 \nL 211.784483 122.230253 \nL 212.851804 119.100036 \nL 213.230256 116.287658 \nL 212.833021 113.924548 \nL 211.599649 112.133454 \nL 209.505992 111.014171 \nL 206.571759 110.629207 \nL 202.863659 110.992388 \nL 198.492735 112.063547 \nL 193.605539 113.751348 \nL 188.37036 115.924491 \nL 182.96097 118.429163 \nL 172.251583 123.822077 \nL 147.392443 136.680535 \nL 139.844801 140.60792 \nL 136.180217 142.724385 \nL 133.308295 144.6383 \nL 131.000528 146.450417 \nL 128.185276 149.078412 \nL 123.196484 154.036116 \nL 121.367395 155.530835 \nL 119.337876 156.896846 \nL 117.05425 158.095108 \nL 114.472086 159.077736 \nL 111.557448 159.784681 \nL 108.290682 160.14009 \nL 106.524628 160.157112 \nL 104.673263 160.049045 \nL 102.741778 159.800791 \nL 100.738185 159.396075 \nL 98.673842 158.817661 \nL 96.563991 158.047728 \nL 94.428306 157.068441 \nL 92.291397 155.862747 \nL 90.183213 154.41542 \nL 88.139259 152.714418 \nL 86.200542 150.752509 \nL 84.413127 148.529131 \nL 82.82721 146.052403 \nL 81.495591 143.341114 \nL 80.471524 140.426453 \nL 79.805928 137.353168 \nL 79.5441 134.179814 \nL 79.722161 130.977771 \nL 80.363584 127.82878 \nL 81.476234 124.820964 \nL 83.050419 122.043539 \nL 85.058302 119.580651 \nL 87.454917 117.505124 \nL 90.180791 115.872959 \nL 93.165851 114.719386 \nL 96.334145 114.057002 \nL 99.608739 113.876268 \nL 102.916228 114.148098 \nL 106.190346 114.828069 \nL 109.374451 115.861387 \nL 112.422832 117.188022 \nL 115.30094 118.747253 \nL 117.984799 120.481286 \nL 120.459885 122.337806 \nL 122.719686 124.271403 \nL 124.764185 126.244152 \nL 126.598386 128.225461 \nL 128.230993 130.191517 \nL 129.673265 132.124442 \nL 132.039091 135.84354 \nL 133.80546 139.324106 \nL 135.079717 142.548882 \nL 135.95768 145.52403 \nL 136.519547 148.267518 \nL 136.82899 150.80215 \nL 136.934007 153.151649 \nL 136.868593 155.338618 \nL 136.654632 157.383581 \nL 136.303652 159.304651 \nL 135.818276 161.117526 \nL 135.193268 162.835588 \nL 134.416177 164.470024 \nL 133.467587 166.029811 \nL 132.321025 167.521492 \nL 130.942564 168.948645 \nL 129.290215 170.310844 \nL 127.313226 171.601962 \nL 124.951467 172.807452 \nL 122.135285 173.900229 \nL 118.786406 174.834546 \nL 114.82095 175.537164 \nL 112.580827 175.768247 \nL 110.156282 175.895111 \nL 107.539378 175.894798 \nL 104.724486 175.739688 \nL 101.70937 175.396893 \nL 98.496569 174.827707 \nL 95.095129 173.987242 \nL 91.522689 172.824354 \nL 87.807951 171.282119 \nL 83.993439 169.299069 \nL 80.138436 166.811599 \nL 76.32176 163.757895 \nL 72.643987 160.083774 \nL 69.228349 155.75069 \nL 66.219504 150.745908 \nL 63.779102 145.094222 \nL 62.077248 138.869896 \nL 61.279367 132.206428 \nL 61.528906 125.300982 \nL 62.927649 118.409944 \nL 65.516938 111.832901 \nL 69.264149 105.884709 \nL 74.058686 100.858781 \nL 79.720031 96.988468 \nL 86.017252 94.415427 \nL 92.696122 93.173021 \nL 99.507693 93.188761 \nL 106.232269 94.30421 \nL 112.694743 96.306048 \nL 118.770262 98.959783 \nL 124.381877 102.03888 \nL 129.493113 105.344936 \nL 134.098503 108.718014 \nL 138.214311 112.038744 \nL 141.870689 115.224874 \nL 147.960947 121.011086 \nL 152.701056 125.909892 \nL 163.940481 137.904511 \nL 165.875268 139.483574 \nL 167.737381 140.63452 \nL 169.607907 141.395112 \nL 171.542601 141.789526 \nL 173.57478 141.832159 \nL 175.71676 141.531648 \nL 177.959929 140.895311 \nL 180.273793 139.934178 \nL 182.604508 138.668758 \nL 184.873775 137.135262 \nL 186.97932 135.391603 \nL 188.798443 133.521847 \nL 190.196162 131.637118 \nL 190.694719 130.73022 \nL 191.038933 129.870754 \nL 191.215434 129.076839 \nL 191.213468 128.366049 \nL 191.025554 127.754672 \nL 190.648057 127.256958 \nL 190.081623 126.884418 \nL 189.331427 126.645224 \nL 188.407196 126.543776 \nL 187.323004 126.580494 \nL 184.749797 127.050711 \nL 181.789112 127.987299 \nL 178.641555 129.283652 \nL 175.50218 130.82001 \nL 172.537465 132.485811 \nL 169.872503 134.193446 \nL 167.588534 135.882072 \nL 165.728082 137.513954 \nL 164.303976 139.067382 \nL 163.309216 140.529277 \nL 162.725738 141.889427 \nL 162.53125 143.136686 \nL 162.703983 144.25694 \nL 163.225583 145.232197 \nL 164.082475 146.040338 \nL 165.265996 146.655137 \nL 166.771486 147.0464 \nL 168.596458 147.180241 \nL 170.737764 147.019643 \nL 173.187658 146.525673 \nL 175.928559 145.659775 \nL 178.92636 144.387796 \nL 182.122373 142.686411 \nL 185.424404 140.552554 \nL 188.698303 138.015875 \nL 191.762585 135.153164 \nL 193.146642 133.639761 \nL 194.39007 132.101427 \nL 195.459564 130.565685 \nL 196.321548 129.06379 \nL 196.94352 127.629934 \nL 197.295662 126.300032 \nL 197.352597 125.110148 \nL 197.095192 124.094551 \nL 196.512247 123.283588 \nL 195.601879 122.701578 \nL 194.372397 122.364886 \nL 192.842549 122.280588 \nL 191.041002 122.445773 \nL 189.005069 122.847781 \nL 186.778803 123.465262 \nL 184.410597 124.270042 \nL 179.448193 126.30897 \nL 174.496694 128.694789 \nL 169.862894 131.195002 \nL 165.752263 133.651645 \nL 162.270703 135.983582 \nL 159.445075 138.166892 \nL 157.249554 140.209477 \nL 155.629468 142.130394 \nL 154.519284 143.947143 \nL 153.854513 145.669933 \nL 153.57872 147.300407 \nL 153.64705 148.832546 \nL 154.027516 150.254196 \nL 154.700967 151.548344 \nL 155.660363 152.693837 \nL 156.909719 153.665422 \nL 158.46287 154.433184 \nL 160.342061 154.961488 \nL 162.576193 155.207589 \nL 165.198374 155.120112 \nL 168.242289 154.637741 \nL 171.736597 153.688768 \nL 175.696404 152.192472 \nL 180.110606 150.064058 \nL 182.473195 148.737695 \nL 184.92405 147.225535 \nL 187.445538 145.522177 \nL 190.014101 143.625805 \nL 192.599362 141.539508 \nL 195.163324 139.272813 \nL 197.659777 136.843323 \nL 200.03405 134.278386 \nL 202.223289 131.616594 \nL 204.15748 128.908832 \nL 205.761402 126.218561 \nL 206.957696 123.620945 \nL 207.671096 121.20041 \nL 207.833761 119.046401 \nL 207.391338 117.247304 \nL 206.309162 115.882804 \nL 204.577775 115.015612 \nL 202.21669 114.683645 \nL 199.275553 114.894267 \nL 195.832041 115.621976 \nL 191.986498 116.810338 \nL 187.853969 118.378194 \nL 183.554821 120.229074 \nL 174.910652 124.381988 \nL 166.814945 128.575381 \nL 156.631131 134.092811 \nL 151.324923 137.124752 \nL 147.118002 139.734557 \nL 143.844294 142.052837 \nL 141.317529 144.193054 \nL 139.360003 146.234172 \nL 137.815312 148.221994 \nL 136.551908 150.177488 \nL 134.457253 154.003222 \nL 132.428118 157.674777 \nL 130.668539 160.286768 \nL 129.289984 161.944473 \nL 127.691276 163.523681 \nL 125.822526 165.010978 \nL 123.630371 166.387053 \nL 121.057424 167.62309 \nL 118.042951 168.67589 \nL 114.525502 169.481361 \nL 112.560077 169.76358 \nL 110.448616 169.946129 \nL 108.186558 170.01109 \nL 105.771339 169.937393 \nL 103.203155 169.700501 \nL 100.485903 169.272164 \nL 97.628313 168.620321 \nL 94.645294 167.709211 \nL 91.559442 166.499854 \nL 88.402694 164.950977 \nL 85.218033 163.020657 \nL 82.061046 160.66876 \nL 79.001106 157.860436 \nL 76.121852 154.570713 \nL 73.520485 150.790201 \nL 71.305427 146.531564 \nL 69.591879 141.836212 \nL 68.495002 136.780097 \nL 68.12079 131.47728 \nL 68.555271 126.079534 \nL 69.853305 120.770586 \nL 72.028854 115.754225 \nL 75.048846 111.236799 \nL 78.832453 107.406291 \nL 83.256642 104.411517 \nL 88.167448 102.345621 \nL 93.395045 101.23739 \nL 98.769723 101.052085 \nL 104.135968 101.701126 \nL 109.362538 103.057901 \nL 114.347722 104.975939 \nL 119.020159 107.305864 \nL 123.336322 109.908599 \nL 127.276087 112.663838 \nL 130.837632 115.473961 \nL 134.032503 118.264317 \nL 136.881367 120.981139 \nL 139.410597 123.588272 \nL 143.629389 128.395123 \nL 146.932447 132.61572 \nL 150.668358 137.894366 \nL 154.359413 143.247057 \nL 155.979541 145.314603 \nL 157.595706 147.024089 \nL 159.292751 148.395383 \nL 161.140912 149.435571 \nL 163.199128 150.139331 \nL 165.517005 150.489405 \nL 168.135117 150.457244 \nL 171.08331 150.004182 \nL 174.376596 149.083748 \nL 178.008131 147.646044 \nL 181.938955 145.645472 \nL 186.084537 143.053409 \nL 188.195178 141.535782 \nL 190.2993 139.877121 \nL 192.366797 138.088094 \nL 194.362278 136.184988 \nL 196.245168 134.190576 \nL 197.970151 132.134775 \nL 199.488075 130.054989 \nL 200.747388 127.995956 \nL 201.696183 126.008911 \nL 202.284817 124.149921 \nL 202.469041 122.477327 \nL 202.213439 121.048297 \nL 201.494837 119.91474 \nL 200.305327 119.118883 \nL 198.654383 118.689205 \nL 196.569702 118.637237 \nL 194.096461 118.955944 \nL 191.294914 119.62004 \nL 188.236571 120.58836 \nL 184.999393 121.807987 \nL 181.662654 123.219464 \nL 174.98607 126.379777 \nL 168.708047 129.652515 \nL 163.152177 132.766839 \nL 158.466232 135.606999 \nL 154.664312 138.167934 \nL 151.678127 140.499417 \nL 149.39957 142.66401 \nL 147.709638 144.71452 \nL 146.495355 146.68642 \nL 145.658176 148.598595 \nL 145.117039 150.457426 \nL 144.808372 152.261291 \nL 144.68456 154.004245 \nL 144.77477 156.487476 \nL 145.140681 158.789513 \nL 145.760798 160.885469 \nL 146.321303 162.156392 \nL 147.0127 163.317194 \nL 147.853007 164.358632 \nL 148.866317 165.269101 \nL 150.083219 166.033488 \nL 151.54142 166.631756 \nL 153.286485 167.037136 \nL 155.372568 167.213832 \nL 157.862878 167.114111 \nL 160.829485 166.674704 \nL 164.351749 165.812575 \nL 168.512217 164.420439 \nL 173.388105 162.36309 \nL 176.11333 161.034822 \nL 179.03552 159.476909 \nL 182.153978 157.665634 \nL 185.462479 155.577211 \nL 188.947487 153.189053 \nL 192.586044 150.481608 \nL 196.343344 147.440878 \nL 200.170098 144.061723 \nL 203.999831 140.35202 \nL 207.746441 136.337617 \nL 211.302435 132.067821 \nL 214.538514 127.620878 \nL 217.30533 123.108496 \nL 219.438327 118.67798 \nL 220.766603 114.51019 \nL 221.126264 110.811278 \nL 220.377979 107.79677 \nL 218.427196 105.667827 \nL 215.243738 104.58191 \nL 210.876305 104.623113 \nL 205.456942 105.779897 \nL 199.192245 107.937975 \nL 192.341202 110.893149 \nL 185.184047 114.382577 \nL 170.987264 121.869358 \nL 158.202768 128.611188 \nL 152.599191 131.407308 \nL 147.561317 133.783271 \nL 139.113529 137.393333 \nL 132.568505 139.829758 \nL 115.924649 145.607476 \nL 112.191349 147.06264 \nL 109.510569 147.835573 \nL 107.684817 148.131251 \nL 105.807173 148.205575 \nL 103.883456 148.020518 \nL 101.939781 147.541762 \nL 100.022086 146.742104 \nL 98.195182 145.606126 \nL 96.540431 144.136029 \nL 95.151091 142.35805 \nL 94.586524 141.369823 \nL 94.124638 140.32816 \nL 93.7765 139.24521 \nL 93.551945 138.135104 \nL 93.459154 137.01376 \nL 93.50423 135.898547 \nL 93.690846 134.807869 \nL 94.019945 133.760626 \nL 94.489552 132.775605 \nL 95.0947 131.870835 \nL 95.827494 131.062926 \nL 96.677298 130.366465 \nL 97.631073 129.793498 \nL 98.673779 129.353116 \nL 99.788892 129.051219 \nL 100.958948 128.890435 \nL 102.166101 128.870191 \nL 103.392648 128.986955 \nL 104.621521 129.234572 \nL 105.836681 129.604718 \nL 108.168635 130.671288 \nL 110.290419 132.09492 \nL 112.131198 133.778736 \nL 113.645865 135.631313 \nL 114.81072 137.572841 \nL 115.618023 139.537374 \nL 116.070596 141.472309 \nL 116.177251 143.336216 \nL 115.949304 145.095972 \nL 115.39833 146.72374 \nL 114.535034 148.19409 \nL 113.369191 149.48142 \nL 111.910572 150.557683 \nL 110.170819 151.390509 \nL 108.166284 151.941831 \nL 105.92183 152.167258 \nL 103.475546 152.016609 \nL 100.884141 151.436256 \nL 99.558202 150.968397 \nL 98.228449 150.374098 \nL 96.9095 149.64847 \nL 95.617901 148.787985 \nL 94.372088 147.790966 \nL 93.192227 146.658106 \nL 92.099944 145.393022 \nL 91.117908 144.002789 \nL 90.269261 142.498433 \nL 89.576895 140.895303 \nL 89.062586 139.213285 \nL 88.746032 137.476772 \nL 88.64382 135.714353 \nL 88.768412 133.958178 \nL 89.127244 132.242976 \nL 89.721987 130.604773 \nL 90.548096 129.079354 \nL 91.594685 127.700597 \nL 92.844805 126.498839 \nL 94.276045 125.499356 \nL 95.861514 124.721177 \nL 97.571029 124.176326 \nL 99.372469 123.869526 \nL 101.233143 123.79841 \nL 103.121093 123.954179 \nL 105.006189 124.322595 \nL 106.861024 124.885203 \nL 108.661514 125.620646 \nL 110.387256 126.50594 \nL 112.021634 127.517627 \nL 113.551722 128.632733 \nL 114.968044 129.829514 \nL 116.264226 131.087979 \nL 117.436581 132.390187 \nL 119.405919 135.065096 \nL 120.884077 137.754101 \nL 121.896067 140.387732 \nL 122.474074 142.92062 \nL 122.650437 145.324582 \nL 122.45313 147.58246 \nL 121.903221 149.683058 \nL 121.013837 151.61708 \nL 119.790226 153.373799 \nL 118.230709 154.938116 \nL 116.328445 156.287818 \nL 114.07411 157.39076 \nL 111.459757 158.201967 \nL 110.016769 158.479903 \nL 108.484273 158.660799 \nL 106.864434 158.734241 \nL 105.160922 158.688628 \nL 103.379296 158.511192 \nL 101.527423 158.188119 \nL 99.61593 157.704742 \nL 97.658684 157.045878 \nL 95.67325 156.196278 \nL 93.681346 155.14131 \nL 91.709176 153.867809 \nL 89.787647 152.365183 \nL 87.952364 150.626724 \nL 86.243316 148.651128 \nL 84.70418 146.444145 \nL 83.381169 144.020222 \nL 82.321365 141.40399 \nL 81.570535 138.631353 \nL 81.170506 135.749916 \nL 81.156269 132.8185 \nL 81.553043 129.905529 \nL 82.373611 127.086193 \nL 83.61635 124.438481 \nL 85.264217 122.038362 \nL 87.284982 119.954632 \nL 89.632768 118.244027 \nL 92.250753 116.947301 \nL 95.07477 116.086741 \nL 98.037327 115.665542 \nL 101.071568 115.668942 \nL 104.114766 116.066895 \nL 107.111002 116.817804 \nL 110.012935 117.872654 \nL 112.782623 119.179108 \nL 115.391545 120.684997 \nL 117.82003 122.341103 \nL 120.056256 124.103006 \nL 122.095063 125.932144 \nL 123.936695 127.796188 \nL 125.585588 129.668898 \nL 127.04928 131.529647 \nL 128.337458 133.362754 \nL 130.43214 136.903622 \nL 131.963532 140.237392 \nL 133.023287 143.345825 \nL 133.692621 146.231642 \nL 134.038505 148.908607 \nL 134.112601 151.395356 \nL 133.951735 153.71174 \nL 133.579092 155.876753 \nL 133.005598 157.907401 \nL 132.231202 159.818021 \nL 131.245871 161.619808 \nL 130.030274 163.320289 \nL 128.556172 164.922533 \nL 126.786598 166.423896 \nL 124.676023 167.814053 \nL 122.170781 169.071998 \nL 119.210225 170.161648 \nL 115.729384 171.025588 \nL 113.773602 171.3471 \nL 111.6643 171.576566 \nL 109.395252 171.696628 \nL 106.961892 171.686591 \nL 104.362062 171.522019 \nL 101.596947 171.174371 \nL 98.672242 170.610743 \nL 95.599533 169.793794 \nL 92.39794 168.681967 \nL 89.095956 167.230188 \nL 85.733431 165.391195 \nL 82.36354 163.117765 \nL 79.054519 160.36604 \nL 75.890807 157.10016 \nL 72.973086 153.298281 \nL 70.416721 148.959822 \nL 68.347895 144.113442 \nL 66.897026 138.824708 \nL 66.189247 133.20195 \nL 66.332396 127.398288 \nL 67.403693 121.607839 \nL 69.437178 116.054653 \nL 72.414494 110.974223 \nL 76.261529 106.58954 \nL 80.852552 103.085541 \nL 86.021773 100.587142 \nL 91.580355 99.145725 \nL 97.335557 98.73704 \nL 103.108283 99.27056 \nL 108.74612 100.607311 \nL 114.130502 102.581621 \nL 119.178244 105.022037 \nL 123.83878 107.767982 \nL 128.088905 110.680585 \nL 131.926608 113.647707 \nL 135.365153 116.584431 \nL 138.428013 119.430553 \nL 141.14487 122.146512 \nL 145.673416 127.106348 \nL 149.219763 131.399768 \nL 154.342634 138.142068 \nL 157.238683 141.841422 \nL 159.00138 143.7679 \nL 160.759328 145.306948 \nL 162.598532 146.480154 \nL 164.587331 147.295435 \nL 166.779303 147.748266 \nL 169.214551 147.823151 \nL 171.919091 147.495632 \nL 174.9021 146.735262 \nL 178.150791 145.510303 \nL 181.622917 143.794941 \nL 185.237298 141.580036 \nL 188.863657 138.887804 \nL 190.625084 137.38262 \nL 192.314497 135.789865 \nL 193.899255 134.129247 \nL 195.343617 132.425581 \nL 196.609518 130.708873 \nL 197.657704 129.014045 \nL 198.449249 127.380202 \nL 198.947418 125.849387 \nL 199.119815 124.464775 \nL 198.940663 123.268377 \nL 198.393052 122.298379 \nL 197.47087 121.586346 \nL 196.180204 121.154633 \nL 194.539918 121.014331 \nL 192.581278 121.164126 \nL 190.34658 121.59028 \nL 187.88684 122.267834 \nL 185.258839 123.162848 \nL 179.734154 125.44338 \nL 174.219817 128.101755 \nL 169.073639 130.857146 \nL 164.527795 133.52624 \nL 160.693318 136.023901 \nL 157.587867 138.335313 \nL 155.169316 140.482249 \nL 153.36475 142.497017 \nL 152.091327 144.407525 \nL 151.269426 146.231405 \nL 150.829893 147.975524 \nL 150.717326 149.637892 \nL 150.890938 151.21009 \nL 151.324107 152.679261 \nL 152.003322 154.029353 \nL 152.926979 155.241533 \nL 154.104239 156.293926 \nL 155.55402 157.16075 \nL 157.304083 157.810968 \nL 159.390051 158.206522 \nL 161.854053 158.300272 \nL 164.742551 158.033764 \nL 168.102658 157.335217 \nL 171.975926 156.1184 \nL 176.388262 154.283725 \nL 178.796686 153.101135 \nL 181.334251 151.723782 \nL 183.991612 150.139226 \nL 186.754128 148.336877 \nL 189.600697 146.30922 \nL 192.502517 144.053324 \nL 195.421845 141.5727 \nL 198.31085 138.879458 \nL 201.110759 135.996672 \nL 203.751513 132.960774 \nL 206.152189 129.823699 \nL 208.222551 126.654332 \nL 209.866028 123.538698 \nL 210.98438 120.578275 \nL 211.48413 117.885817 \nL 211.284527 115.5783 \nL 210.326408 113.767093 \nL 208.580842 112.546138 \nL 206.056067 111.979738 \nL 202.801099 112.092268 \nL 198.904701 112.862328 \nL 194.489259 114.223229 \nL 189.700153 116.070466 \nL 184.692413 118.274903 \nL 174.609306 123.212728 \nL 157.076817 132.369838 \nL 145.035053 138.761445 \nL 140.861995 141.170116 \nL 137.618347 143.295266 \nL 135.074407 145.265762 \nL 133.027027 147.159033 \nL 130.521095 149.928119 \nL 126.032207 155.211004 \nL 124.364211 156.839637 \nL 122.497396 158.363682 \nL 120.375433 159.753198 \nL 117.946918 160.970696 \nL 115.165562 161.96752 \nL 111.992524 162.679343 \nL 110.25022 162.902737 \nL 108.40157 163.021052 \nL 106.446717 163.019573 \nL 104.387958 162.881738 \nL 102.230281 162.589097 \nL 99.982006 162.121398 \nL 97.655491 161.456791 \nL 95.267901 160.572249 \nL 92.842011 159.444233 \nL 90.406959 158.049683 \nL 87.998903 156.3674 \nL 85.661457 154.37985 \nL 83.445718 152.075426 \nL 81.409813 149.451091 \nL 79.617684 146.515319 \nL 78.137012 143.291034 \nL 77.036181 139.818222 \nL 76.380273 136.155682 \nL 76.226289 132.381375 \nL 76.618 128.590833 \nL 77.580996 124.893234 \nL 79.118685 121.405118 \nL 81.209976 118.242147 \nL 83.809218 115.509854 \nL 86.848663 113.29461 \nL 90.243248 111.656324 \nL 93.897023 110.624012 \nL 97.710324 110.194968 \nL 101.586637 110.337475 \nL 105.438294 110.996406 \nL 109.190463 112.10052 \nL 112.783277 113.570154 \nL 116.172254 115.324255 \nL 119.327445 117.285934 \nL 122.231701 119.386292 \nL 124.878546 121.566525 \nL 127.269945 123.77858 \nL 129.414209 125.984787 \nL 131.324167 128.156818 \nL 133.015627 130.27433 \nL 135.814107 134.29576 \nL 137.955688 137.993585 \nL 139.580754 141.360862 \nL 140.813982 144.415295 \nL 142.15425 148.472474 \nL 143.660142 154.079436 \nL 144.937275 158.554704 \nL 145.81322 160.791625 \nL 146.498755 162.110579 \nL 147.296325 163.292904 \nL 148.234517 164.335065 \nL 149.345424 165.228963 \nL 150.665968 165.961152 \nL 152.239144 166.511638 \nL 154.115173 166.852191 \nL 156.352413 166.944042 \nL 159.017805 166.734897 \nL 162.186339 166.155232 \nL 165.938728 165.114038 \nL 170.355898 163.494634 \nL 175.508094 161.152013 \nL 178.374309 159.656751 \nL 181.435409 157.914846 \nL 184.686402 155.90278 \nL 188.115453 153.597948 \nL 191.701866 150.980337 \nL 195.413765 148.03486 \nL 199.205528 144.754442 \nL 203.01515 141.143933 \nL 206.761748 137.224816 \nL 210.343664 133.040516 \nL 213.637731 128.661814 \nL 216.500483 124.191584 \nL 218.772205 119.7675 \nL 220.284733 115.561038 \nL 220.873578 111.77086 \nL 220.394346 108.608933 \nL 218.742155 106.278872 \nL 215.871318 104.948143 \nL 211.811096 104.718554 \nL 206.672706 105.602104 \nL 200.643828 107.51006 \nL 193.969793 110.260782 \nL 186.92464 113.606487 \nL 179.77865 117.272524 \nL 159.855737 127.840095 \nL 154.154382 130.722904 \nL 149.010822 133.19278 \nL 140.355073 136.980165 \nL 133.630499 139.556786 \nL 116.572247 145.668628 \nL 111.889474 147.554247 \nL 110.078344 148.092731 \nL 108.22479 148.452158 \nL 106.309743 148.591833 \nL 104.335507 148.471467 \nL 102.325157 148.053473 \nL 100.322397 147.306265 \nL 98.391101 146.208888 \nL 96.613608 144.757073 \nL 95.086722 142.970266 \nL 94.449748 141.965512 \nL 93.914448 140.898418 \nL 93.493169 139.780749 \nL 93.197186 138.626491 \nL 93.036215 137.451706 \nL 93.017957 136.274236 \nL 93.147659 135.113299 \nL 93.427761 133.988958 \nL 93.85762 132.921481 \nL 94.433373 131.930637 \nL 95.147936 131.034979 \nL 95.991155 130.251141 \nL 96.950105 129.593203 \nL 98.00951 129.0722 \nL 99.152267 128.695775 \nL 100.36004 128.468019 \nL 101.61387 128.389488 \nL 102.894776 128.45741 \nL 104.184299 128.666035 \nL 105.464984 129.007083 \nL 106.720742 129.470277 \nL 109.101541 130.715291 \nL 111.233301 132.299231 \nL 113.05206 134.119787 \nL 114.520173 136.084026 \nL 115.620851 138.113351 \nL 116.352049 140.14454 \nL 116.720822 142.128275 \nL 116.738752 144.026318 \nL 116.418648 145.808257 \nL 115.772544 147.44827 \nL 114.810846 148.922153 \nL 113.542561 150.204688 \nL 111.976511 151.267319 \nL 110.123517 152.076248 \nL 107.999611 152.591034 \nL 105.630274 152.763973 \nL 103.055672 152.540765 \nL 101.709433 152.262438 \nL 100.336651 151.863206 \nL 98.949164 151.336111 \nL 97.56081 150.67487 \nL 96.187524 149.874287 \nL 94.84737 148.930721 \nL 93.56046 147.842641 \nL 92.34877 146.611224 \nL 91.235815 145.240961 \nL 90.246141 143.740266 \nL 89.40466 142.121999 \nL 88.73581 140.40386 \nL 88.262549 138.608567 \nL 88.005265 136.763757 \nL 87.980618 134.901539 \nL 88.200437 133.057681 \nL 88.67075 131.270389 \nL 89.391062 129.578785 \nL 90.353972 128.021103 \nL 91.545183 126.632827 \nL 92.943961 125.444859 \nL 94.52398 124.48195 \nL 96.254523 123.761553 \nL 98.101914 123.293166 \nL 100.031053 123.078262 \nL 102.006921 123.110766 \nL 103.995938 123.377997 \nL 105.967086 123.861926 \nL 107.892733 124.540628 \nL 109.749155 125.389748 \nL 111.516774 126.383881 \nL 113.180143 127.497764 \nL 114.727733 128.707203 \nL 116.151584 129.989769 \nL 117.446865 131.325225 \nL 118.611398 132.695753 \nL 120.549865 135.483022 \nL 121.98475 138.256342 \nL 122.948456 140.952211 \nL 123.478245 143.531113 \nL 123.609537 145.970021 \nL 123.37177 148.256084 \nL 122.786215 150.38162 \nL 121.86521 152.340181 \nL 120.612418 154.12334 \nL 119.023863 155.717875 \nL 117.089702 157.103047 \nL 114.79686 158.247722 \nL 112.132821 159.107284 \nL 110.659133 159.41173 \nL 109.091041 159.620437 \nL 107.429907 159.722659 \nL 105.678581 159.706303 \nL 103.841781 159.557934 \nL 101.926558 159.262851 \nL 99.942788 158.805252 \nL 97.903696 158.168516 \nL 95.826409 157.335662 \nL 93.732464 156.289989 \nL 91.648267 155.015944 \nL 89.605424 153.500273 \nL 87.640831 151.733415 \nL 85.796501 149.711164 \nL 84.118931 147.436521 \nL 82.658005 144.921603 \nL 81.465287 142.189476 \nL 80.591725 139.275588 \nL 80.08478 136.228566 \nL 79.985176 133.109988 \nL 80.323503 129.992929 \nL 81.117058 126.959059 \nL 82.367354 124.094336 \nL 84.058701 121.483621 \nL 86.158205 119.204744 \nL 88.617285 117.322726 \nL 91.374621 115.885017 \nL 94.36019 114.91837 \nL 97.499879 114.427877 \nL 100.72006 114.398086 \nL 103.951643 114.796042 \nL 107.133204 115.575541 \nL 110.212998 116.681972 \nL 113.149888 118.057046 \nL 115.913332 119.64287 \nL 118.482661 121.385097 \nL 120.845914 123.235035 \nL 122.998441 125.150775 \nL 124.941458 127.097543 \nL 126.680684 129.047456 \nL 128.225109 130.978904 \nL 129.585952 132.875748 \nL 131.80788 136.523168 \nL 133.452046 139.937677 \nL 134.620499 143.104893 \nL 135.403442 146.031714 \nL 135.875626 148.735748 \nL 136.095629 151.238951 \nL 136.106731 153.564046 \nL 135.938478 155.732597 \nL 135.608428 157.764124 \nL 135.123728 159.675728 \nL 134.482376 161.481999 \nL 133.674086 163.194997 \nL 132.680759 164.824156 \nL 131.476596 166.375976 \nL 130.027896 167.853382 \nL 128.292657 169.254567 \nL 126.220119 170.571081 \nL 123.750494 171.784855 \nL 120.815304 172.863738 \nL 117.339045 173.754958 \nL 113.243337 174.375899 \nL 110.939885 174.548049 \nL 108.455493 174.601682 \nL 105.784556 174.512026 \nL 102.9244 174.249629 \nL 99.87647 173.779858 \nL 96.647823 173.062542 \nL 93.252941 172.051865 \nL 89.715868 170.696669 \nL 86.072613 168.941404 \nL 82.373768 166.728001 \nL 78.687034 163.998998 \nL 75.099382 160.70225 \nL 71.718262 156.797483 \nL 68.671142 152.264764 \nL 66.102573 147.114532 \nL 64.167867 141.398264 \nL 63.022873 135.218023 \nL 62.80984 128.732444 \nL 63.640508 122.156072 \nL 65.578685 115.749442 \nL 68.62579 109.798621 \nL 72.71321 104.585612 \nL 77.704383 100.354175 \nL 83.407487 97.27808 \nL 89.596658 95.439397 \nL 96.0373 94.822074 \nL 102.510023 95.321912 \nL 108.82871 96.769408 \nL 114.850413 98.958982 \nL 120.477279 101.677449 \nL 125.652497 104.726666 \nL 130.352899 107.937836 \nL 134.580558 111.177695 \nL 138.354975 114.348409 \nL 141.706655 117.383527 \nL 147.291076 122.902582 \nL 151.646288 127.607268 \nL 162.172575 139.444481 \nL 164.071547 141.070558 \nL 165.941856 142.280164 \nL 167.863528 143.102109 \nL 169.893802 143.551814 \nL 172.069577 143.634388 \nL 174.40822 143.348094 \nL 176.90671 142.688489 \nL 179.539313 141.653617 \nL 182.254172 140.250525 \nL 184.969682 138.503216 \nL 187.571987 136.461479 \nL 189.915651 134.209274 \nL 191.830016 131.870046 \nL 192.569339 130.717033 \nL 193.133606 129.605329 \nL 193.502302 128.559117 \nL 193.657609 127.602767 \nL 193.585433 126.759801 \nL 193.27642 126.051734 \nL 192.726783 125.49689 \nL 191.938937 125.10933 \nL 190.921796 124.897948 \nL 189.690702 124.865901 \nL 188.266956 125.010422 \nL 186.676982 125.323083 \nL 183.122456 126.395254 \nL 179.292453 127.935225 \nL 175.448442 129.773709 \nL 171.811669 131.756396 \nL 168.543246 133.766584 \nL 165.741171 135.730531 \nL 163.449217 137.610177 \nL 161.671305 139.390715 \nL 160.38632 141.068618 \nL 159.560622 142.64296 \nL 159.157312 144.110335 \nL 159.142363 145.462568 \nL 159.488238 146.686099 \nL 160.175604 147.76211 \nL 161.193708 148.666796 \nL 162.539786 149.371494 \nL 164.217696 149.842573 \nL 166.235812 150.04121 \nL 168.604 149.923264 \nL 171.329411 149.439658 \nL 174.410639 148.537869 \nL 177.829808 147.165378 \nL 181.542191 145.276227 \nL 185.463439 142.841965 \nL 189.45541 139.868059 \nL 191.416786 138.195003 \nL 193.313381 136.41566 \nL 195.108163 134.550384 \nL 196.759922 132.625853 \nL 198.224026 130.675371 \nL 199.453666 128.738739 \nL 200.401592 126.861573 \nL 201.022362 125.093926 \nL 201.275012 123.488163 \nL 201.126016 122.096083 \nL 200.552268 120.965471 \nL 199.543764 120.136349 \nL 198.105614 119.63739 \nL 196.258998 119.482992 \nL 194.040848 119.671574 \nL 191.502117 120.185411 \nL 188.704788 120.992184 \nL 185.717919 122.04812 \nL 182.61326 123.302172 \nL 176.325723 126.19173 \nL 170.323354 129.27321 \nL 164.937813 132.273681 \nL 160.340944 135.057022 \nL 156.57519 137.593911 \nL 153.597751 139.914588 \nL 151.320491 142.069198 \nL 149.638862 144.104125 \nL 148.449933 146.052212 \nL 147.662133 147.931567 \nL 147.1995 149.748305 \nL 147.002648 151.500288 \nL 147.027954 153.180415 \nL 147.24599 154.778961 \nL 147.639753 156.28492 \nL 148.203069 157.686531 \nL 148.939298 158.971198 \nL 149.860445 160.124917 \nL 150.986619 161.13135 \nL 152.345826 161.970568 \nL 153.97398 162.617451 \nL 155.914991 163.039715 \nL 158.220699 163.195495 \nL 160.950295 163.030475 \nL 164.168662 162.474649 \nL 167.9427 161.439043 \nL 172.334261 159.813245 \nL 174.776634 158.738585 \nL 177.387627 157.465511 \nL 180.166635 155.975182 \nL 183.108769 154.248733 \nL 186.203531 152.268204 \nL 189.43327 150.017853 \nL 192.771429 147.485922 \nL 196.180623 144.666948 \nL 199.61067 141.564639 \nL 202.996766 138.195311 \nL 206.258057 134.591708 \nL 209.297048 130.806937 \nL 212.000315 126.917966 \nL 214.241149 123.027836 \nL 215.884734 119.265556 \nL 216.796269 115.782409 \nL 216.852137 112.743575 \nL 215.953485 110.314449 \nL 214.040742 108.642346 \nL 211.106562 107.835663 \nL 207.2042 107.944529 \nL 202.448404 108.947836 \nL 197.007212 110.751202 \nL 191.085308 113.197893 \nL 184.901981 116.091072 \nL 172.568331 122.398358 \nL 156.306402 130.865032 \nL 147.708872 135.071865 \nL 138.069778 139.468221 \nL 131.476164 142.475193 \nL 128.252182 144.114914 \nL 125.651628 145.623744 \nL 122.457991 147.76303 \nL 117.766078 151.010835 \nL 115.808465 152.12405 \nL 113.703371 153.07153 \nL 111.409696 153.804497 \nL 108.904407 154.267294 \nL 106.184177 154.396714 \nL 103.269062 154.122213 \nL 101.752391 153.809924 \nL 100.207915 153.368131 \nL 98.647295 152.787511 \nL 97.084781 152.059382 \nL 95.537347 151.17619 \nL 94.024743 150.132081 \nL 92.569453 148.923567 \nL 91.1965 147.550283 \nL 89.933078 146.015794 \nL 88.807959 144.328399 \nL 87.850691 142.50186 \nL 87.090542 140.555992 \nL 86.55524 138.516968 \nL 86.269542 136.417276 \nL 86.253732 134.295215 \nL 86.522165 132.193858 \nL 87.08198 130.159497 \nL 87.932147 128.239619 \nL 89.062986 126.480542 \nL 90.456215 124.924879 \nL 92.085616 123.609187 \nL 93.91823 122.561909 \nL 95.916002 121.801952 \nL 98.037718 121.338001 \nL 100.241022 121.168629 \nL 102.484345 121.283113 \nL 104.72858 121.6629 \nL 106.938384 122.283401 \nL 109.083082 123.115979 \nL 111.137139 124.129878 \nL 113.080284 125.293939 \nL 114.897306 126.578004 \nL 116.57766 127.953969 \nL 118.114917 129.396455 \nL 119.506148 130.883185 \nL 120.751283 132.395097 \nL 121.852509 133.916257 \nL 123.639916 136.9368 \nL 124.911108 139.869934 \nL 125.715689 142.671947 \nL 126.101502 145.320444 \nL 126.109371 147.806329 \nL 125.770299 150.127753 \nL 125.104356 152.285692 \nL 124.120661 154.280618 \nL 122.818044 156.109844 \nL 121.186229 157.765081 \nL 119.20749 159.229925 \nL 116.858957 160.476958 \nL 114.115982 161.464305 \nL 112.589558 161.842575 \nL 110.957073 162.131594 \nL 109.217538 162.320207 \nL 107.371254 162.395562 \nL 105.420249 162.343025 \nL 103.368771 162.146141 \nL 101.223868 161.786662 \nL 98.996051 161.244712 \nL 96.699987 160.499095 \nL 94.355262 159.527817 \nL 91.987111 158.308887 \nL 89.627096 156.821442 \nL 87.313604 155.047237 \nL 85.092083 152.972577 \nL 83.014847 150.590602 \nL 81.140295 147.903914 \nL 79.53139 144.927325 \nL 78.253289 141.690485 \nL 77.370049 138.239946 \nL 76.940551 134.640222 \nL 77.013826 130.973292 \nL 77.624293 127.336152 \nL 78.787473 123.836162 \nL 80.496883 120.584357 \nL 82.722737 117.687297 \nL 85.41286 115.238447 \nL 88.495881 113.310345 \nL 91.886363 111.9488 \nL 95.491122 111.170049 \nL 99.215885 110.961302 \nL 102.971335 111.284279 \nL 106.677882 112.081081 \nL 110.268787 113.281163 \nL 113.691614 114.80832 \nL 116.90822 116.586772 \nL 119.893688 118.545829 \nL 122.634591 120.622929 \nL 125.126973 122.765168 \nL 127.374302 124.929628 \nL 129.385578 127.082853 \nL 131.173693 129.199804 \nL 132.754069 131.262577 \nL 135.35964 135.181884 \nL 137.340714 138.792984 \nL 138.828922 142.09126 \nL 139.940275 145.094136 \nL 141.108456 149.103895 \nL 142.106095 153.675836 \nL 143.661415 161.579698 \nL 144.268891 163.644929 \nL 145.02409 165.46188 \nL 145.991318 167.032389 \nL 146.79149 167.93708 \nL 147.747878 168.719383 \nL 148.893661 169.367355 \nL 150.268453 169.863739 \nL 151.919525 170.18439 \nL 153.903012 170.296121 \nL 156.284942 170.153831 \nL 159.141766 169.696764 \nL 162.559775 168.843856 \nL 166.632364 167.488317 \nL 171.453327 165.492241 \nL 174.170747 164.201441 \nL 177.10335 162.683112 \nL 180.255153 160.910689 \nL 183.625407 158.85644 \nL 187.206814 156.492503 \nL 190.983324 153.792467 \nL 194.927525 150.733672 \nL 198.997627 147.300399 \nL 203.134186 143.488111 \nL 207.256762 139.308774 \nL 211.260925 134.797234 \nL 215.01626 130.018216 \nL 218.366233 125.073168 \nL 221.131092 120.105547 \nL 223.11506 115.302485 \nL 224.118933 110.890235 \nL 223.958648 107.120759 \nL 222.488904 104.24775 \nL 219.629 102.492809 \nL 215.385843 102.006356 \nL 209.867356 102.832122 \nL 203.28022 104.886574 \nL 195.909264 107.962803 \nL 188.081558 111.761519 \nL 180.123852 115.941843 \nL 158.023158 127.826453 \nL 151.755272 130.958556 \nL 146.130454 133.570844 \nL 141.13608 135.68949 \nL 136.734409 137.371094 \nL 132.874099 138.685367 \nL 126.549904 140.489148 \nL 121.721516 141.577219 \nL 115.101548 142.762053 \nL 108.419699 143.755931 \nL 106.340088 143.866275 \nL 104.459588 143.710162 \nL 103.293744 143.4322 \nL 102.204408 143.004456 \nL 101.209682 142.425859 \nL 100.335552 141.704062 \nL 99.612584 140.856534 \nL 99.072335 139.911052 \nL 98.743477 138.905348 \nL 98.64795 137.885609 \nL 98.797462 136.903725 \nL 99.190865 136.013377 \nL 99.812869 135.265408 \nL 100.634348 134.703136 \nL 101.614295 134.358362 \nL 102.703105 134.24878 \nL 103.84662 134.377156 \nL 104.990301 134.732311 \nL 106.082873 135.291441 \nL 107.079083 136.023284 \nL 107.941374 136.891445 \nL 108.640505 137.857369 \nL 109.155363 138.882653 \nL 109.472231 139.930581 \nL 109.583805 140.96691 \nL 109.488196 141.960115 \nL 109.188116 142.881157 \nL 108.690334 143.703104 \nL 108.005506 144.400625 \nL 107.148359 144.949647 \nL 106.138208 145.327203 \nL 104.99973 145.511652 \nL 103.763877 145.483404 \nL 102.46874 145.226201 \nL 101.160084 144.729077 \nL 99.89129 143.988912 \nL 98.722287 143.013455 \nL 97.71717 141.824402 \nL 96.9403 140.459929 \nL 96.450925 138.975818 \nL 96.296798 137.444378 \nL 96.507701 135.950479 \nL 97.090104 134.584626 \nL 98.024286 133.433855 \nL 99.264839 132.572048 \nL 100.744761 132.051591 \nL 102.382434 131.898315 \nL 104.090055 132.110582 \nL 105.7819 132.662433 \nL 107.380972 133.509544 \nL 108.823286 134.596362 \nL 110.059674 135.862872 \nL 111.055469 137.249912 \nL 111.788808 138.702669 \nL 112.248203 140.172362 \nL 112.429995 141.616536 \nL 112.33609 142.998351 \nL 111.972241 144.285345 \nL 111.346993 145.447953 \nL 110.471351 146.458016 \nL 109.359129 147.287499 \nL 108.028004 147.90753 \nL 106.501152 148.287925 \nL 104.809388 148.397437 \nL 102.99364 148.204933 \nL 101.107383 147.681807 \nL 99.218604 146.805871 \nL 97.410502 145.566857 \nL 95.780086 143.973215 \nL 95.064574 143.052984 \nL 94.433689 142.059437 \nL 93.900837 141.001984 \nL 93.478777 139.892272 \nL 93.179171 138.744163 \nL 93.012137 137.573572 \nL 92.985783 136.398223 \nL 93.105774 135.237237 \nL 93.374975 134.110614 \nL 93.793179 133.038622 \nL 94.356955 132.041092 \nL 95.05964 131.136706 \nL 95.891467 130.342295 \nL 96.839868 129.672202 \nL 97.889862 129.137769 \nL 99.024598 128.746982 \nL 100.225912 128.504294 \nL 101.474957 128.410619 \nL 102.752798 128.463529 \nL 104.040965 128.657576 \nL 105.321933 128.984746 \nL 106.579516 129.434974 \nL 107.799133 129.996691 \nL 110.075223 131.403998 \nL 112.070351 133.103335 \nL 113.733018 134.995896 \nL 115.0357 136.994979 \nL 115.968941 139.029037 \nL 116.535375 141.041406 \nL 116.744526 142.988128 \nL 116.608817 144.834866 \nL 116.140865 146.553617 \nL 115.352007 148.119587 \nL 114.251962 149.508383 \nL 112.849492 150.693513 \nL 111.154065 151.644257 \nL 109.178489 152.32397 \nL 106.942575 152.688998 \nL 104.477839 152.688568 \nL 101.833104 152.26629 \nL 100.46474 151.878698 \nL 99.080633 151.36407 \nL 97.694415 150.716081 \nL 96.321809 149.929449 \nL 94.980644 149.000411 \nL 93.690809 147.927247 \nL 92.47407 146.710888 \nL 91.353754 145.355513 \nL 90.354266 143.869162 \nL 89.50044 142.264264 \nL 88.816706 140.558038 \nL 88.326125 138.772692 \nL 88.049285 136.935356 \nL 88.003165 135.077672 \nL 88.200023 133.234999 \nL 88.646418 131.445261 \nL 89.342463 129.747426 \nL 90.281412 128.179757 \nL 91.449637 126.777938 \nL 92.827031 125.573255 \nL 94.387828 124.590993 \nL 96.101766 123.849257 \nL 97.935491 123.35827 \nL 99.854091 123.12026 \nL 101.82259 123.129857 \nL 103.807329 123.375017 \nL 105.777095 123.838233 \nL 107.703986 124.497966 \nL 109.563955 125.330131 \nL 111.337069 126.309465 \nL 113.007518 127.410734 \nL 114.563426 128.609686 \nL 115.996509 129.883768 \nL 117.301648 131.212576 \nL 118.476414 132.578097 \nL 120.435679 135.359455 \nL 121.890858 138.131053 \nL 122.873674 140.828061 \nL 123.42113 143.409942 \nL 123.568672 145.852945 \nL 123.345951 148.143739 \nL 122.774555 150.274374 \nL 121.867196 152.238286 \nL 120.62792 154.027073 \nL 119.053108 155.62766 \nL 117.133227 157.01956 \nL 114.85543 158.172032 \nL 112.207296 159.04099 \nL 110.741864 159.350942 \nL 109.182185 159.565827 \nL 109.182185 159.565827 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p47fc10f5eb\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZcAAAGMCAYAAAAWd+9VAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd3QUVRvGn5ntm55AEgIJJCH00FsCSFNEUEGsYAEVAVEUFcGKiAiCiiiKFQU+BBRFECkC0gmElk4ICSmk97rZOnO/P8bZkt0ku8kGEpzfOXsgW2Znp9zn3rdShBACAQEBAQEBJ0Lf6h0QEBAQELj9EMRFQEBAQMDpCOIiICAgIOB0BHEREBAQEHA6grgICAgICDgdQVwEBAQEBJyOIC4CAgICAk5HEBcBAQEBAacjiIuAgICAgNMRxEVAQEBAwOkI4iIgICAg4HQEcREQEBAQcDqCuAgICAgIOB1BXAQEBAQEnI4gLgICAgICTkcQFwEBAQEBpyOIi4CAgICA0xHERUBAQEDA6QjiIiAgICDgdARxERAQEBBwOoK4CAgICAg4HUFcBAQEBAScjiAuAgICAgJORxAXAQEBAQGnI4iLgICAgIDTEcRFQEBAQMDpCOIiICAgIOB0BHEREBAQEHA6grgICAgICDgdQVwEBAQEBJyOIC4CAgICAk5HEBcBAQEBAacjiIuAgICAgNMRxEVAQEBAwOkI4iIgICAg4HQEcREQEBAQcDriW70DAv8tCCFgWRZarRYikcj4oCjqVu+agICAExHEReCmQQiBXq8HwzDQaDQAAIqiQNM0xGIxxGKxIDYCArcJFCGE3OqdELj9YVnWKCwAoNfrjQLCsixYljX+LYiNgEDbRxAXgRaFEAKGYWAwGMCyLGiaNq5g6goGIcT4YFkWgGllI5FIIBKJIBaLQdO0IDYCAq0cQVwEWgxzMxjACQVFUcZVDP9cQ583Fxu9Xo/c3FyEhoZCIpEYVzaC2AgItD4En4tAi8AwDHJzc+Hi4gIXFxebq5TGBIEXIwAQiUTQ6/XIzs5GSEiIhc+GX9EIYiMg0HoQxEXAqRBCYDAYYDAYkJ6eji5dusDV1dUp2zYXGpFIZLGqEcRGQKB1IYiLgNNgWRYGg8HCDOZM6m6v7srGXGy0Wi00Gg1omrYKEBDERkCg5RHERaDZmPtEeHMX/3CmS48XhPpMauZiw7+PDyhgGAZardZmgEDdzwkICDQfQVwEmoW5GQywHOCdLS6Owu8LTdPGfTWPXuNfr2tGE8RGQKD5COIi0GTMc1fMB3Ge+sSlqQN3YysXez5vS2wMBoMxNLo+n42AgIBjCOIi4DC2clfqM1PVt3JpDSsDR8SGN6MJYiMgYB+CuAg4RN3clYac4y3pc2kJGhMbwHb1AEFsBASsEcRFwG5YloVOp2twtWLOrfa5NJf6xEav10On0wEQxEZAoD4EcRFoFN4MxkeD2RvKW5+4VFVVIT09Ha6urvD29oarq6vd2+P351ZgS2x4v1PdigNSqdRYRaA1mAAFBG42grgINIgjZrC61BUXQghu3LiBa9euwc/PDxUVFcjMzARFUfDy8oKnpye8vLxsZvS3Rnh/DA8vNhcuXEBISAi8vb1BUZRxZWMejSYgcLsjiItAvZivVpoSnmsuLnq9HomJiaisrMSgQYPg4uICgBuQa2pqUF5ejtLSUly/fh1isdgoNF5eXlAoFBbf31pNbeZiw5vI+JWNTqczrnrqBggIYiNwOyKIi4AVDeWuOAIvLuXl5YiLi4ObmxsiIyMhkUgsfBbu7u5wd3dH586dwbIsqqqqUF5ejsLCQly7dg1SqRReXl7w8PBw6u9saepb2dQVG6G9gMDtiCAuAhbwmewALPwLTaWsrAzp6ekICwtD586dG3Xy0zQNT09PeHp6Ijg4GAzDoLKyEuXl5cjPzwcAXLhwAd7e3saVjVQqbdY+3izMxYY/BnyQhHn1AEFsBG4HBHERAGCaVdfW1uLo0aMYP348JBJJk7en1WpRWloKhmEwdOjQJq86RCIRvL294e3tDZZlcfz4cYSEhKC6uhpZWVlISkqCi4uLUWg8PT2btd/Owp5IOgCC2AjctgjiImDltG8upaWliI+PB03T6NChg9PMWfyg6uXlBX9/fwCcL6e8vBzl5eVIT0+HSqWCm5ubUWw8PDwgFrf+y7whsdFqtQ2GPgtiI9Aaaf13nUCLYl7ChXc2A01zmhNCkJaWhszMTPTo0QNVVVUtPvBJJBL4+vrC19cXALdi4sUmJSUFWq0W7u7uxlWNh4eHhR+kJXBGwEF97QUIIVZiI3TpFGiNCOLyH6W+Ei68j4VvM2wvGo0GcXFx0Ol0GD58ONzc3JCcnNxg+RdHB2F7osVkMhn8/f2NKxu1Wo2KigqUl5cjOTkZer3eKDbe3t5wc3NrE0mP9bUXIIRY9LLhxUZoLyBwqxHE5T+IPbkrjgz8xcXFiI+Ph6+vLwYNGmRhhmqJsGFHtqlQKKBQKNChQwcQQqBWq40rm5ycHLAsCw8PD6MZzc3NzSmDcUsP6ILYCLR2BHH5j8HnrtRXwsWRPiwsy+LatWvIzs5Gr1690LFjR6ttOboCaozmDIwURUGpVEKpVKJjx44ghEClUhnFJisrCwAscmyaktB5K/Jw7BUboUunwM1CEJf/CHVzVxoaVGiablQUamtrERcXB5ZlERERYbOVcWuvLUZRFFxdXeHq6orAwEAQQlBdXW2R0CkSiYxCY57Q2dqxp0tnVVUVZDKZMehBEBsBZyKIy38A3mnPC0ZjSZGNiUJBQQESExMREBCA7t271+sgbwlxaUnBoijK7oRO/iGXy1tkX5yNrS6deXl5cHNzg1wurzf0WRAbgaYiiMttjHlGuL2VjIH6B3CGYXD16lXk5+ejT58+Rqd5Q9tpyzSU0Jmbm4urV69CLpdb1EWTyWS3erftwnxVIxaL620Jzb8utIQWcBRBXG5TmlNw0pZZrKamBnFxcaBpGpGRkVAqlY1up6V8LrfK1Gae0AkABoPBKDbZ2dm4cuUKXFxcoNPpUFlZCVdX11aR0Fkf5h09m9qlUxAbgfoQxOU2pG7uSnMKTgJAbm4urly5gqCgIISFhdkdunu7DzpisRg+Pj7w8fEBwCV0VlRU4MqVK8jLyzO2FTCvHtCaEjobahctdOkUaC6t50oXaDb2th9uDF5cDAYDkpOTUVRUhP79+6N9+/YOb+d2Wrk0hkQiQfv27SEWi9GrVy8oFApjjk1qaio0Go1V9YCWTuhsiIbEpS72io3QOE2ARxCX24TmmMHqQlEUampqkJSUBKlUihEjRjTJcd3Y9zsyuLU1KIqCTCaDn58f/Pz8AHCJpnzYc3JyMnQ6nUWOjbu7+00djJtz/IUunQKNIYjLbQDDMMjLy4Orq2uzQ2X51c/Vq1cRHByMrl27NmsAakvRYs6ivv2Ty+Xo0KFDvQmdDMNY5Ng4K6Gzof101vYbExthZfPfQxCXNox57kpKSgq6d+9ul6O9PvR6PZKSkqDT6dC1a1eEhoY2a//aghDcKm5WQmdDtOTK0ZbY2GoJbS42Qkvo2wtBXNooLMvCYDBYmMGaQ2VlJWJjY+Hi4mJ8NJf/6sqlKTSU0Mn3xKFp2qkJnTfTLGlv4zRb0WgCbRNBXNoY5jelefthe7Lq69teVlYWUlNT0bVrV3Tp0gXR0dFOq+x7OwqBPTR3ULSV0FldXY2ysjIUFhYiNTUVEonEqh20I9xKn5cjYiO0hG6bCOLShmio/XBTxEWn0yEhIQHV1dUYPHgwvLy8jNttreLSFgSrJfaPpml4eHjAw8PDmNDJVw/Iz89HSkoKZDKZxcqmsYTO1hRQYS425r1seLGpqKiASCRCu3bthF42bQRBXNoI5rkr5rZsHkfDfsvKyhAfHw8PDw+MGDHCItmvqaugurQFIWirmNc8A2wndCqVSguxqZvQ2ZrExRzz6gEAt58lJSWQSCRwd3cXunS2EQRxaeXYm7tC07RdAzkhBOnp6UhPT0e3bt0QFBRkszKysHJpW9SX0FleXo6MjAwkJiZaJXS2VnGpC3/OzUvVAKaW0EKXztaJIC6tGEdyV+xZbWi1WsTHx0OtVmPYsGFwd3e3+b6WFpfmlgxpC+Jyqwc1PqGTT3zV6XTGSDQ+oRMA8vPzAeCWJ3Q2Bj+xAmyvbIQuna0PQVxaKfyszN5M+8bMYiUlJYiPj4ePjw8GDBjQYBkSwSzWPFrjb5ZKpVYJnefPn4der28VCZ2NYS4udamvvYDQOO3WIohLK4M3g/HRYPbeAPWZxViWRVpaGrKystCzZ0907NjRLqFqyZWLVqtFcnIyKIqCj48PPD09IZVKm7VNAceQy+WgaRrBwcFwd3e3SOjMzc2FwWAwVoT29vaGq6vrLRUb/l6wB0FsWgeCuLQinF3JWK1WIy4uDgaDod6GXrZoSXEpKytDXFwcPDw8IJVKkZGRAZVKBVdXV3h7exv9AQ31iBFwDuah7HUTOmtra41ic+PGDRBCLPw1rq6uN/VcsCzb7FI1gNCl82YiiEsrwXy10hSfRF2zWFFRERISEuDn54eePXs6ZE93VsFJc3EhhCAjIwPXr19H9+7d4e/vbzR16HQ6lJWVoby8HFevXrUw0Xh7e8PNzc1i1toWVi5tYVCqz6FPUZQxkbZTp04ghKCmpsYqodM8x0apVLbob27ILOYo9YkNy7JGsaFpWmic1kwEcbnFNJS74gj8yoVlWaSkpCA3Nxe9e/dGhw4dmrQtZ65c+HyampoaDB06FB4eHsboN4DzB/j7+8Pf39+i5lZZWRmys7MtZs38QNCaae37x2NvtBhFUXBzc4ObmxuCgoKMCZ3l5eUoLi5GWloaxGKxVfUAZ+JMcalLfWLDN07TaDSC2DQBQVxuIXXbDzfn5uFXAOfOnQMARERENLmEizPNYgaDAVFRUXB3d0dkZKQx16K+7dsy0dTU1KCsrAylpaVQq9W4cuUKfHx8jGa0ttJquLXR1FBk84TOLl26OCWhszFaUlzqUl8RTqFLp2MI4nIL4H0rJSUl8PT0dMoMqLa2FsXFxQgKCkL37t2bdSM6wyxGCEFhYSG0Wi26d++OLl26NOk3ms+aO3fujOjoaPj5+YFlWWOrYYVC0WCyoIBtnJXn4mhCpyMBHDw3U1zqUp/YCF06G0YQl5sMLyw1NTW4cOECJkyY0KwLkGEYJCcno6SkBF5eXujZs2ez97G5ZjGDwYDExESUlpZCKpUiODi42fvEwxd4bNeuHUJCQmAwGIyOZz5Z0M3NzbiquVX5G21hUGmpJMrGEjr5AA5HOnTeSnGpiz1io1KpIBaLjcEp/8X2AoK43ETMS7g4Y8CrqalBbGwsxGIxgoKCjMljzaU5K5fq6mrExMRAoVAgPDwcSUlJTtkn830zFz6xWGyRLKjVao3+muTkZOj1eqvggJYe+NuCz4Xfx5sx4NlK6OTFJi0tDWq1utEOnY6EIt9sbIlNXl4eJBIJpFKp8fX/Wi8bQVxuArZKuPA3T1NmZIQQ5ObmIjk5GZ07d0bXrl2RlZVljHRpLk0Vl5ycHCQnJyM4OBihoaGoqqpyyv44gkwmswgOqBtSC8DChNbSUU6tFV5cbsVvl0ql8PX1ha+vLwDThMC8Q6e7u7uF2DQnFPlmw98/YrEYEonkP9ulUxCXFqa+3BX+QnJ0EDcYDEhKSkJpaSkGDBiAdu3aAXBuv3pHzWIMw+DKlSsoLi7GwIEDjeYQwPHf1xiOBBvYCqnly9bzUU4SicQ4iHl7ezfb8dxWuJXiUpe6EwLzdtB5eXnGSVl+fj5YlrUKTW+NmFsn6jOj3e5dOgVxaUH43BVbJVz4C4cXHXuoqqpCbGwsFAoFRowYYTEQOit8GHBsAOdNcxKJBJGRkRaRWw0NXLdiUKMoU48UPsqJdzzzqy6lUmn013h5eTXqC2jou1ozrUlczKEoCgqFAgqFAgEBAcbVZ3R0NGpraxEXFwdCiEWOzc1O6LQHlmUbTASuKza3Y5dOQVxagLq5K7aiwfgLzJ6ZPSEEN27cwLVr1xASEoKQkBCr7TmrHhi/b/ZsKz8/H4mJiQgKCkJYWFiz2wDYu2/OElGRSARvb294e3sjNDTU6HguKyvD9evXLXwB3t7e8PDwsGs22ZZ8Lq19wOLFBgB69uwJqVRqTOjkAwQoimp1pk6GYRwqV9NY47QXXngBDz/8MB544IGW2mWnI4iLk6mbu9JQOKJIJGp08NXr9UhMTERFRQUGDRoEb29vm+9zprg0tgpiWRbJyckoKChAv379jLbzurTUDd5Sg3ddxzNvnikrK0NSUpKx3hYvNq1xxmwvbUVcAMvgg6YkdMrl8pv+OxtauTSGLbG5evWqcVXTVhDExUmYzzbsrWTcmCCUl5cjLi4Obm5uGDFiRIO5Ac5cJTS0OqitrUVsbCwoikJERASUSmWTttOcOlE3C7lcjg4dOqBDhw5G8wxfpiYzM9M4Y+bNaM3taX8zaUviYj5Rq0vdhE6WZY2mzpZK6LQHZ0WEAjCGNjd0r7VGBHFxAk0tOFmfuJjX4QoLC0Pnzp3tEipn+lxs7VdhYSESEhIQEBCAHj16NLrsd6YJy5xbYXYyDw4IDAy0mDEXFhbi2rVrkEql8Pb2Nl4PrZm2YLrjcaSCBU3TFgmdDMOgoqICFRUVyMnJcUpCpz04YhZrDEIIVCoV3NzcnLK9m4UgLs3EPHfF0Ux7W+Ki1WqRkJAAlUplrMPV1G01lbpCxbIsrl27huzsbPTp08fuemW8uDgzWa+1zLRtlUDhczcA4NKlS3BxcbGo9NzU4ICWoKkFUm8FzSmPJBKJLBI6DQaD8TxlZmaipqYGLi4uFmLjjAoPzTGL2UKlUjW5nNOtovVc7W0Me9sPN0RdQSgtLUV8fDy8vLws6nDZQ0uZxTQaDWJjY8EwDCIjIx26wBs7Hk2dPbfGWbf5IHbjxg0MHjwYGo0GZWVlxs6PfO6Gt7f3LW/G1VZaHAPOzc4Xi8Vo166dMYTfPKHz+vXrqK2ttUjobKj9Q0M40ywGcOZoe1tmtBYEcWkCzem7Yg4vLoQQpKWlITMzE927d0dgYGCzhao58EJVUlKCuLi4JpXt57cD2B7IWqNAOBOJRAJ3d3djsIN5M66EhASwLHtLw2n/q+JSl4YSOlNSUqDVai0SOt3d3Ru9D3j/q7P2WafTQafTCWax252GclcchaZpaLVanD9/HjqdDsOHD2/yBeRsn4tarUZMTAx69eqFjh07Nnk7gHOFpKX8OM6m7nVRN3dDpVIZI9EyMjIsfAXe3t5OL1lfl7YkLjez9It5QidgOSngEzrN20HbSujkJ3nOWrmoVCoAEFYutyvmuSuOtB9uCIPBgJSUFPj7+2PQoEHNssk7a+Wi1Wpx/fp16PV6RERENGu21FLi0pqx57fyxTddXV2NwQF8yfqCggJcu3YNMpnMIpnT2U7ntiQut7L0i62ETl5ssrOzba5AeYuGs8SlpqYGAASfy+0Iy7IwGAw4d+4cevfuDRcXl2Zd7LyDXKVSoUOHDggPD2/2PjrD58K3IFYqlVAoFM1ehreEuLTE9m41fFdHT09PBAcHG0vWl5WVISsrC0lJScYqwt7e3k32A5jT1sSlNZRCsVVOiE/orKioMCZ0uru7A+D8JM0dK/jtKJXKVnEMHEEQlwYwz13hLySGYZp1sfAlLFiWNTp2nUFzzGJ1WxArFApcvXq12fv0X1y58DRnP+uWrNfpdEYTGu8HaKgNtD0I4tJ8bCV01tTUoLCwEGVlZbh48aKx7L55h05Hjzsf0dZWzhePIC71YKv9sEgkcqgWWF0KCgqQmJiIgIAAdO/eHYmJiU4NH+aDA2xdhHo9kJpKISGBQmEhBYWCwMUFkMkMKCxMB6BCv36R0OlcUV1dhupqEfR6oDlRmS21cmnNtMRvlUql8PPzg5+fHwDOD8Anc+bk5BhNM7wZzZ6BSBAX50PTtHGyWFhYiMjISKO50zwXqm71gMZoi2HIgCAuNjHPXTEvMNdUvwbDMLh69Sry8/PRp08fo7PQ2RFeADdoFBVxIpKYSP/7L4XkZAo6na3BRAKgd53n/P99ABIJJ0IuLoBSSRAYCEREsIiIYDFsGEFDlrP/skO/JVEoFOjYsaNFG+jy8nKUlpbi+vXrFuVPvL29bQ5ggri0HHzOW11zp3mhVL6LqlwutxAbW741XlzayvniEcTFjMZyV5qycqmpqUFcXBxomkZkZKRFCYfmiotGAyQnc0ISF6fAqVORmD1bjpIS2xehmxtB794EgYEE5eW1KCnRgKJcwDByqFRAbS0FlQpQqQCG4bah11OoqAAqKgCAQmoqcPQoL7YEffsSREQQo+AEBpq+ryFxaWs3SmvFlmmmbvkTuVxuERzA9xhpK+egrYlLfQmU5oVSAcuETt63ZiuhU1i5tHHsyV1xVAxyc3Nx5coVBAYGolu3blY3SFPEpbwc+PFHEX7+mUZKCmUUAY72/26XoGtXgvBwgj59CHr1IvDwINDpgJQUgujocpSViaHVesLTUwQvLwIPD8DLi4WHByCXq1FcnIU+fbpDKuVMY1IpIBYDOTnA2bM0zp6lkZVFITaWQmws8PXX3M0UGMgJTWQki4gIApZ17kqjraxcbtXAXbf8CT+A8SHPfBtouVwOlmWdnuzXErTmLpS2sLf0S2MJnXl5eVi5ciW6du1qXKE6Ixx52bJleP/99y2e8/PzQ0FBAQDueL///vv47rvvUF5ejmHDhuGrr75C7951LRyN/L5m7+ltAMuy0Ol0jeau2LtyMRgMxuZZ/fv3N1bZrQtN03avhNLTga++EmHTJhFUKtP+eXtzItK7N4uamhT07h0KuVyE7GwKaWkUdu6kcf06Ba3W/Df5N/JtbgD61LPPBN7ewMCBBJMnM5BIAI2GwoULFOLiKGRnU8jOFuHXX7kBS6G4B8OHA6NHU3jsMQZdunDb0ev1UKvVbXK53xCtTfjqDmB8kmB+fj60Wi1OnjwJDw8P48qmNTbiaktdKIGmZ+fXTegsLS1FaWkpdu/ejStXrsDLywtDhw7FuHHjsHDhQoumfI7Su3dvHDlyxPi3+f6uWbMGa9euxaZNm9CtWzesWLECd911F1JSUhyKIP1PiwtvBuOjwRrLXbGnRH51dTViY2MhlUoxYsSIBh12NE03WOCQEODsWQpffCHCn3/SYFlu3/r0YbFgAYNu3QgOHKBx4gSN7dtFKC+vf2YhkRD4+9egWzeCfv2U6NaNoGNHgpoaCuXlQGWl6d/iYgOysiohFrf71yTGvabTUWBZCiUlwKFDFA4d4gYhFxeC4cMJXnmFgUIB6HTApUs0oqMpVFdLcOwYcOwY8P77IowbR/DII1Xw948GIRqjyYYf3BoredNWVi6tFT5JUCQSQa/Xo0+fPsZItBs3boAQYuGvaQ29UW4Xs5ij+Pj44LnnnkN5eTk6duyIVatW4dixYzh69Giz65+JxWKj79ccQgjWrVuHt99+G9OmTQMAbN68GX5+fti2bRvmzp1r/3c0aw/bME0p4dLQSoMQguzsbKSkpKBLly4IDQ1t9IaozyxmMAC7d9P44gsRzp83bWPCBBYvvmiAVkvhhx9oHDpEgxDLfe7YkUX37kBYGEFYGEFoqAHANYjFuRg4sN+/sx3z32A9UKtUKpw5E40JEyZYPK9Wc76X/HwKUVE0Tp2icPo0jdJSCv/8Q+Gff7h9VSgIhg0jWLCAQUlJCjp27IKTJxX45x/63/d5wtNzPKZPN2Dq1FKIRIUWJhtebOprziWIS/PhJ1NKpRJKpdIYHMBXei4pKTEGB5j7a+yJbnI2bU1cnFkRGeDuR1dXV3Tp0gVPP/00nn766WZvMzU1FQEBAZDJZBg2bBhWrlyJkJAQZGRkoKCgwOLel8lkGD16NKKiogRxaQzz1YojlWHrW7no9XokJSWhvLzcqod8Q9QVq6oqYNMmEb78UoQbN7h9kskIZsxg8eCDDKKjaTz/vAS5uab9HTeOxeOPM+jblyAz8wjGjh1mtMuatyDu1y/S7oGhvtWBQsE9OnQgGDiQwYsvAiwLXLlC4dQpCqdO0Th1ikZxMYXjxykcP04D6A2ZjGDIEBb33VeM2lodrlzxR36+GF9/LcbXX3fE0KH+mDlTh0mTVNDpyozNuRiGMYbYtpZZtL209v20ZWoybwPduXNnMAyDqqoqlJWVITc319gG2jyZ0xkVhO3Z17YmLs70YznL18IzbNgwbNmyBd26dUNhYSFWrFiByMhIJCUlGf0ufNg7j5+fH7Kyshz6nv+UuNjKXXG0RH7dlUtlZSViY2Ph4uKCyMhIhxoR8WJ14wbnT/nxRxGqq7n9adeO4LnnGHTtSvDnnzSmTJEYnfc+PgQzZzJ49lkGoaGm7RUVmeoa5eXlISkpqd4WxI39TntL5dM00KcPFzjw/PMsCAFSUiicPMmJzZEjepSXy3H6tAhAe1AUwbhxBBMnGpCfT3DkiBjnz4tw/rwCrq5yPPigO2bO7IjISAa1tSqUlZVZhNjy50Cn07VIH47m0lZWVfacW5FIZBEcwLeBNq8gbF7U0cPDo0WCA9qaQ9/Z5fZra2vr7fbaFO655x7j/8PDwxEREYHQ0FBs3rwZw4cPB2A9OWpKdOF/Rlzqth9uam8I/vOEEGRlZSE1NRWhoaEIDg52+OCXl4uxbFlXHD0qNQpH9+4sZsxgodcDP/8sQkaGaZsjRrB47jkGU6eysLUIoSgKDMMYZyANtSBuiIaqGTf+WaBHD4IePQjmzGFx+PA/yM1VIienK6KiAnD0qAj//EMBoOHvz+KJJ/QQi4Fjx8S4fp3G5s1SbN4sRa9eDJ56SooZM1wRFBRkzBFITU1FZWUlTp8+DVdXV4t+Ka096qk10ZRzW7cNtFarNSZzJicnQ6/XW1UOcMYKri069J1tFmvJUGQXFxeEh4cjNTUVU6dOBcAlfJv3bSoqKrJazTTGbS8uTWk/XB80TcNgMECn0yEhIQHV1dUYPHiwcWbnCBcvUnj44UDk53OnYOxYFkOGsEhPp7BihQh6PbePHh4Ejz/OYPZsFr16NT4rTkhIgEQiQWRkZJMr6/LHpznmCEIIUlNTwTAGjBzpi65dfQEYcP26AT/+KMKWLSIUFNDYtEkKiiK4804G99xjQEEBhb/+EuPKFRHeeEOEjz6S4eWXdZg3T2cslyOTydCpUyejI5rvL85HPbX1/vY3A2fkuchkMqs20ObBAQCsKj035TtZlr0p5jdnwTCMU1spt3QXSq1Wi+TkZIwaNQrBwcHw9/fH4cOHMWDAAABciPSJEyewevVqh7Z7W4uLs/qu8IhEIlRXVyMqKgoeHh4YMWJEky76jRtpvPKKGDodhcDAWvz0kxi//CLCmjWm0zFkCIvZsxk8/DALe1pnFxYWQqfTwdPTE/3792/WzIn/bFNNPDqdDnFxcdBoNMbWvzyhocCHHzJ49109/viDYNMmKU6cEOPwYTEOHwYCAljMmqWHQkGwf78YKSkivP++DBs2SLBokQ4jRtCQySxLotQd2DIzM0HTtHFVU1+WekvS2oXN2UmUdYs68nW2ysrKUFxcjLS0NEgkEuP5cKSXfVvzubT2LpSLFi3Cfffdh6CgIBQVFWHFihWoqqrCzJkzQVEUFi5ciJUrVyIsLAxhYWFYuXIllEolZsyY4dD33Lbi0pz2w7YghBgHrx49eiAoKMjhbWo0wMKFYmzaxF14d99di8mTr+CllwbiyhXu5nnqKQbPP89gwAD7Bna+wnJOTg5kMhkCAwObfSM2p2xLRUUFYmNj4eHhgYiICJw5c8bmdqRS4IEH9HjwQQZpaRQ2b5Zi61Yx8vJofPONFDRNMH48g3799Dh/XoTMTBpLlsjh5xeOuXMLsXAhl9TJ72/dgY13ROfl5SElJQUKhcK4qmnJlsO3k8+lOfB1ttzd3Y1toPlKz9nZ2bhy5YoxG72xc9LWxKWlosWcRU5ODqZPn46SkhK0b98ew4cPx7lz59C5c2cAwOLFi6FWqzF//nxjEuWhQ4ccXj3dduLC567k5+cjIyMDQ4cObfZNpNVqER8fj6qqKnh6ehpPgiPcuAFMny7BpUs0aJpg2TIGIpEOixYNgE5Hw8+P4Icf9LjrLvsHJ7Vajbi4ODAMg4iICMTGxjplcDM3i9mLeSh2165d0aVLF7sDJrp2JfjgAy3eeUeLvXvF2LRJgpMnudUMAAwcyGDIED3OnBEhL0+G5cuD8PPPLN5+W4tp0wyoex+b13QKCQkxOqLNWw6b+wbc3d1b/UrD2dzs8i91S5/o9XpjX5S0tDSo1WpjGDofHMAP0G1RXJy1cuEbyzlz5bJjx44GX6coCsuWLcOyZcua9T23lbjUNYPpdLpm30AlJSWIj4+Hj48PQkNDUVxc7PA2jh6l8NRTEpSUUPDxIVi3zoDffqOxZ48nAC5/5Ycf9HDE915cXIz4+HiLFsTOKoTp6MqFDyIoKSnBoEGDLMxgjvSZkcmAhx4y4KGHDEhNpfDjj1L8+KMEly+LcPmyCCNHGtCvXznOnnXH9esSPPOMAmvXMnj3XS0mTmRQ36mu64jmqwrzs2gARqG5GV0gWwO3uraYRCKxyEbXaDRGywDf8ZEvVa/X69uU+LeEWayttTgGbiNxqdt+WCKRNKs8PsuySEtLQ1ZWFnr27ImOHTsiPz/fwdk88OmnIixdKgLLUhgwgMusf+MNMXJzKUgkBLNmpeDzz4OtZt/1b5MgLS0NmZmZVi2Im9IwzGAAcnOB6moKnp4EXl6AUknZnQlfW1uLmJgYiEQiREZa59I0dVAICyNYtUqLl1/WYfVqKTZvluD0aTEAH4wcWYlOnZTYv1+MxEQRHn1UicGDGbz3nhajRzd+zutWFa6urkZZWZmxLLpMJoOPj49FoUdHae2D4a0Wl7rI5XKL4AC+DXR5eTkqKytRU1ODioqKZvVFuVm0tWixlqLNi0vd3BXev9Kc3iu8uclgMFj0tXekFlhVFTBnjhi7d3MzmMcfZ+DvTzB7thgsSyE0lMU331RCp0sHTQfbtU2tVou4uDhotVqL/eKx1TDMYADy8oDMTApZWdaPnBxTBWQeqZTAxWUC2rcXw8eHhrc3gacnV8fMy4v7t1s3guDgIqSnxxv709i6oZpbrsXfn+Czz7RYsECHlStl2LlTjNOnPSASEUyebIBCAezdK8bFiyLcd58S48YZ8MknGnTtat93micOdunSxarQY1JSkkXVAHd39wYHDsHn0nzqtoG+ePEivL29QVGUxQTAPDigNeU8OXPlwgerONPncrNo0+JSN3fF3MbviBCYU1RUhISEBAtzE489tcUALonwkUfESEmhIZEQvPoqg9Onafz8M7etJ55g8NlnBlAUi6go+/axtLQU8fHx8Pb2xsCBA206P2maRlERhd27Rdi3j0Z6OiceBoNjg4hOR0Gnk6O8vOH30XQA+vRpjzFjRBgxgiAykkXdGp3OqgUWEkLwww8aTJuWgw0bOuDkSU/8+acEMhnB1KkGsCywZ48YR4+KERHhgkWLdFi4UAdHI0JtFXrkTWgJCQkWjbnaWtUAc1qzuNSFEAJXV1f4+voa+6LULVXPt4Hmc55aKmDDHpzpc9HpdDAYDIJZ7GZhT+6KWCxusDNjXViWRUpKCnJzc9G7d2+LBCIeewTrjz9oPPecGDU1FDp2JJg+ncF334lQXk7BzY3giy8MmD6dE6ja2oa7R/K/NT09Henp6ejevTsCAwOt3ltTA+zZQ+O773rj4kUPq5VIS8GyNOLjZYiPB774gnuuWzfWKDQjRrAAnFtoMixMjbVrr6O8vAeWLZPhzBkxfvlFAjc3goceMuD6dRrR0SJ8+CG3ylm3TouRI5tuHq2by8E35uJrb0kkEouQ57ZCW8p6r+vQF4lEVm2g6wZs8JUD7FltOhtnmsVqamoAQFi53AzszV3hTy7DMI3OYlQqFeLi4gAAERER9do3G1u5bNlCY84czj4/YgQLPz+CTz7hvnvwYBabN+styrXws5v6xIVP1qypqcHQoUPh4eFhfE2vBw4fprF9O42//qKhVlMAPBv8nTeDa9doXLsG/PQT99vatYvAyJF6zJ5NYdw4YrdvqT74ldCwYSz271fjyBERli+XIS5OhG3bJOjQgcW0aXqcPi3CtWsiTJqkxBNP6PHBB1r4+DRP5Oo25jIPr71x44YxvBYAysvL4eXl1WqrBrS1lUtDg3XdUvVqtdoYHJCbm2tcbfJi09JtHpxpFlOpVKAoyqLJYFuhTYmLI7krvKA0Ji75+flISkpCx44d6/Ub8DS0crl4kcKCBdz3PP889x6+gdaiRQYsXcqgrlm4oVBL83yRyMjIf7sHciX4d+wQ4bffaJSVtf7BoaREht27Zdi9m2sk9uSTDJ58kkETormtoCjgrrsYjB9fi927xXj/fRkyMmjs2kVj5EgDBgxg8fffYmzdKsH+/SJ8+KEWM2YY6o0qc5S64bU6nQ5FRUW4du0arl69aox44lc2ralqQFsSF0fLvygUCigUCgQEBBiDA/gyNRkZGcaGavx5cWZ0IG9Vcaa4tNWeR21CXBprP2wL/vX6xIBhGCQnJ6OwsBDh4eF21c2pL0igqAh49FEJtFoK997LICyMxauvciuYLVv0eOQR26sdc3Ex/618zbKwsLB/c2oobN9O4/33xcjMbN5FFhrKYuBArt1xnz4E3t4Eej3Xg8VgoKDTcf9PSLgKP79ASCRK3LhRgPLyWpSXB2HPHkWTzW7Z2RRWrhRj5UoxRo9mMGMGwZQpjF0VCHhs+XBoGpg2zYB77jHg44+lWLdOitOnxXB1JZg2TY8rV2hcvSrC888rsG2bAevWaRAW5nzHu1QqRfv27XHt2jVERERAo9EY/TX8oMaLkbe3t1NLhDhKWzOLNXWwNg8O4NtA8wm25m2gzZM5mxMcYG5RcQY1NTWCuLQUTS3h0lDEGF+KXiwWO1SDy1a1YIMBeOIJrgx+WBiLRx5hMWsWd1g/+MBQr7Dw2wNM4qLX65GYmIjKykpjzbLMTGDBAgkOH3b8Yg0PZ3H33axRSLp1I404uE0Drp9fAbp2dUVmZgzCwykMGDAAcrkIgA4MA6Smci2O4+IoREfTiIpybP9OnBDhxAklXn+d4MEH9XjiCT0GD2abtapQKIClS3V4+GEDXnpJjuhoEXbtkqBvXwYPPaTHvn1inDrFOfxffVWHV1/V2SwA6gzMqwYEBgZa9Lbny9e7uLhY9Eq5mSa023nlAnBpAFeucP43tRpgGG7ypNcDBoMcDOMLvZ6CTseitlYLilJjzJh0eHomNqsgKn8vO3vl0hZp1eJSN3fF0Qusro+EEGK8sTt37oyuXbs6NMPgLxhzU9tbb4lw8iQNV1eCd99lMH8+F2o8axaDRYsadiTz0W38bCo2NhZKpRKRkZEQiaT44gsRli0TobbWvt/dqZMWTzxRggUL2qEZHVABcDcJby7s0aNHHYeqqfLxY48BAANCuCoEcXE0zpyh8Pnn9l1aVVUUfvpJip9+kqJHDwZz5ujx5JP6ekXQnuiznj1Z/P13LTZtkuC992SIjxchKYnGvfcaUFpK4fRpMT76SIbffxfj++81GDiw+YmntvbTHPPe9nzVAN4vcO3aNWi1WovCm86qKFwfbU1c7LlPy8uB48fFOHJEhCNHxMjPt/felgPwwJYtfnjgAR2efbYAen0hUlJSjOfFvNJzQ/vCMIzDrTwaQqVStdmIxFYpLua5K/a0H64P85WLwWBAUlISSktLMWDAAGOoqSPUXWns2EHjiy+4Q7hihQFvvslFiY0Zw2L9evts+xRFIS8vDxkZGQgJCUFISAgSEmg8/7wYly7Zd3M8/DCDOXMYtGt3FQCBj0/Dv40QoLAQSEqikJxMQ63m6nRJJIBIRFBeXozSUl/4+nqjtDQAV65wrwcEcOY0WxMpigI6dwY6d2Zx//3ARx8xSEig8MUXRdi6tZNdv+PqVRFefVWEtWulWLRIhyee0Fv5qbj9b9ykRdPAM8/oMWmSAW+8IcOuXRLs2SNBYCCLxx/X459/REhNFeHOO5V44w1uFeOM6FV7I+PqZqjXV1G4paoG3A7iwjBATAyNI0fEOHJEjIsXTa3AAa4j6vDhDHx8yL/XN/evSMRd62IxIBZzz8XHi/D332L8/rsMu3YFYcqUACxapEX//qZkzpycHLAsa5wkeHl5WZmsnFXLkMfZdcVuJq1OXFiWhcFgcEolY15cKisrERcXB4VCgREjRjTZ1s2vXFiWRXw8heef5w7fiy8asGmTCLm5FLp3Z7F9ux72JHXz4pmVlYWBAwdCqfTB0qUifPyxfafl/fcNmDWLAe8uSkmhYDBYrpaqqrhOkYmJ1L//0rhyhUJJSUPHNODfhzUURRAaStC3L2dq4/5l0bkzLMSUooC+fQnmz8/GO+/UoqSkC377jca6dY3/tpwcGgsXyvHpp1IsXqzDjBmm4+noteDvT7BpkwbTp+vx2mty3LhB4+efaYwda0C3bixOnhRjxQoZ/v5bjO++UyM09NYkQZq3G2ZZ1lg1oKCgANeuXYNcLjcKjZeXV7PzONqKuNTtv1RYSOGff7iVydGjIpSVWYpOjx4M7ryTwZ13GhAZyThk9oyLo/Hxx1L8+acEu3dzj8mTZXj/fVf06dPRGIpet4GdeXCAs0u/8D6XtghFWklKsXnuiqPth+sjKioKbm5uKCgoMK4KmrvNv//+G717j8Kdd3oiM5PC+PEspFKCAwdEaN+e4MQJHUJCGt8O7/dRqVTo378/kpP98cILXMOshujencWqVQzuvptF3Ws4NTUVarUWxcXh2LRJhOho2tguuS40TeDhwYlAVRXXrtgW/OFiWYCQ+o+du7tJbMaMYTFhAtcqICYmBl5eXujSpYtxO9HRFHbsoPHtt/YNkF26sHj9dS0ee8yAnJwMqNVq9OrVy67PmqNSAStXcuX7GYaCry+L0aMZHDokRmUlBRcXruTMzJn6Jvt+NBoNoqKiMG7cuKZtwAbmVQPKysosijw2NY+DTzxsShHWmwnDMDh06BTy88dh82Y5YmIsL3p3d4KxYw24804G48cb0KlT84ezpCROZP74QwxCKPj7s4iJUVmt2M39aGVlZaiuroZUKoXBYEDPnj2bXDrInPXr1+P8+fPYvXt3s7ZzK2gV4tLc9sO20Ov1OHnyJAghGDhwoNMS3P7++wjWrbsLx45JERxMMGIEi61bRZDJCP7+W4/hwxs/nHwL4s6dOyMtrQg7dw7H9u0Nz0569mTx22+WeTLmFBQA69ZVYOdOD+TmWk7XlEouv4SiTA+9Hnb7cpqCUklwzz0s+vdPxz33sOjTp4vF6yzLQq3WY/duCZ591j6TT3Awi2eeycXYsXno29dxceGJjaUxd64cycl86wPOF3PxIvf3xIkGfPmlBr6+jt8aarUaZ8+edaq41MU8Cq28vNxoqjE3oTV2/yQmJsLd3R1BQUEttp/NpaCAwjffiPD99zSqq03WhgEDOCG56y4GgwczdlkJmkJqKoVp05TIyqKxbJkWr76qa/D9BoMBN27cMLa/4AtO8uemKW2gP/roI2RmZuLnn39uzk+5JdxycWFZFmVlZcjJyWk0z8ReysvLERcXB5Zl0aVLF4TYs5Swk5kzc/DLL6FQKAhmzGCxcSN3sWzdqsdDDzXsGDYPf+7bty+k0vYYPVqDq1c9Gvzc6tUGLFjAWCUgsixXcXnjRhH27qWNZV4UCq4GmFrN9ZDhEixvHTIZiwkTCB54gMXkySw8PEw5SxwUDh8W4bXX5MjKavz8BwaqsXIlcP/9Tc9Z0WiAZctk2LCBc+qEhLAYOJDBn39yTdzatWOxfr0WkycbHNruzRAXc8xNNWVlZaisrDRWDWio7lZCQgI8PT0RGBh4U/bTEWJjaXz1lRS7domNHVkDA1nMm6fDY48Z0L79zRuytm8XY+5cBTw9CeLiatBY09mioiLcuHEDgwcPhlarNa5qysvLm9QG+p133oFGo8G3337rxF91c7hl4mKeu8LXbRozZkyzt5mRkYG0tDSEhYWhoqICnp6eCA62rzBkY+zeTeOxx7hp0owZDHbs4ByIy5cbsHhxw5FhfPVgmqbRv39/6PUK3HefBNHR9Q+mXboQ7NypR3i45SkqKAC2bBHhxx9FFnkvnp5cvTK1WgKNpnXa0yUSgvHjWTz4IIP771dDLrdcpUZH0/jgAxlOnmzcZHbnnQZ8/LGmWX6SY8dEmDdPjvx8GmIxwZQpBly5QhtXNU89pcOqVVrYW9rpZotLXczrbpWVlaGmpsaiT4qnpydomjbWqevUyb5gi5aGYYB9+8TYsEGCqCjTuR86VIcxY2KxZEkPSCQ3/5pmGCAyUonkZBEWLdJi6dKGVy/5+fnIz8/HwIEDLZ4nhBhbPfABAgAskmxtRYW98sor8PDwwKeffurcH3YTuCVZVHzuCu9fEYvFzSqPD3AFBi9duoTs7GwMHToUwcHBTtkuT3IyhdmzuYt+1CgN/vyTE5aZMxm8/nrD31FQUICoqCh4e3tj2LBhMBgUuP/+hoVlwQIDYmN1FsKi1wMrVogQFibF0qVcQqVUSuDhQeDpSVBRIUZ5ubTVCgsA6PUUDh4U4bnnpOjb1w2ffipFWZnp9WHDWPz1lxrR0So8+KC+/g0BOHJEjAEDXLFqlRQaTdP2Z+xYBmfPqvDAA3oYDBR+/10CuRyYOlUPiiLYskWKUaNcEBdn/61yKx3lfN2trl27YujQoRg5ciQCAwOh1Wpx5coVnDx5ErGxsaitrYVOp7vlVZyrqoAvv5Sgf38XPPGEAlFRYojFBI88osexYyrs2VOGkSMLGxUWvR5ISaHx119iHDsmQlYWBWfc+iIRjIKyYYMUhYUN70d9RSv5Ei6dOnVCeHg4Ro0ahf79+8Pd3R3FxcW4cOECoqKicOXKFeTn50Pz7wVdW1vbYg79VatWGdsa8xBCsGzZMgQEBEChUGDMmDFISkpq0vZv2cpFp9MZk6Nqa2tx6tQp3H333U3aFl8x2MvLC7179zY60a5cuQKRSITu3bs3a19VKmD4cAlSU2n06lWJ8nIX5OeLMXo0i717bYfLApbFMPv06QN/f3/U1ABTpkhw5kz9g9W+fTqMH295WpKSOHGLieE+5+rKva7ROF71uLWhUDB47LFavPwyQUiI5W+5cYPCu+/K8McfDRvWg4NZfPqpBnfe2bQRhRBgxw4xFi2So7qagqsrt4o5cUKEnBwaUinBypVaPPdcw87+2tpaREdHY+zYsU3aj5bEvE9KZmYmDAaDVeHNm1U1ICODwjffSLF1qwTV1dwB9fIiePZZHWbP1iMggLu+q6urERMTgzvuuAMAVz3i+nUaV6/SSE6mkZLC/T8tjTaa0HikUoLOnVmEhBCEhLAICWExdiyDbt0cy2siBBg/XomLF0WYM0eHTz7R1vveGzduoKqqCn369HHoO/ioVn5Vs3v3buzevRsBAQEICwvD+vXrLWoLNpcLFy7gkUcegbu7O8aOHYt169YBAFavXo0PP/wQmzZtQrdu3bBixQqcPHkSKSkpDldmvmXiYh5urNVqcezYMUyYMMEhn4t54yxbFYNTUlLAMEyTIovM+fRTEd5+W4yOHQlGjcrBjh2B6NSJ4MIFXb02WLVajdjYWLAsi/79+8PFxQUqFTB1qgSnTtn+jSNGsNi5Uw/z2AOGAT77TITly0XQ6SjI5Zw/JT+/bQuKLWiaYPToUsydW40xY5QWxfri4mhMn65ATk7D18fUqXqsWqVFx45Nu6yzsijMnSs3mmbGjjXAYABOneL+njJFj/XrNfD0tP351iwu5sTExMDX1xdKpdLor6murjZWDeBLoTgzrJYQICpKhK++kmDfPrEx+rB7dwbz5+vx6KN6q1JAFRVV2L49BykpA3DmjAjXr9P1TqZcXAi6dWOhUgGZmTR0Ouv3SSQEH36oxdy5jkUEnjjB9QuSSglycmrqDXHOyGh6NKM5paWlOHjwIL799lvk5+ejpKQEgwcPxv3334+33nqrWduuqanBwIEDsWHDBqxYsQL9+/fHunXrQAhBQEAAFi5ciCVLlgDgxmY/Pz+sXr0ac+fOdeh7WoW4GAwGHDlyBOPGjbO7ro9Go0FcXBx0Oh369+9vU1X53tzh4eFN3s/aWqB7dymKiyl88okB779PUF0twXff6fHUU7ZnQLZaENfWAg88IMGJE7YHx6++0uOZZyzLn6SmUnjuOTHOneM+4+VFoNW2bJRXa6FXr1I89lgmJk4k8PHx/rc8ihgbN1bg1VcbdkK7uBC89ZYW8+bZl29UF4YBPv9cihUrpDAYKHTpwiIigsFvv3EO5s6dWfz0kxqDB1uf/7YiLpcvX0ZAQAD8/f2Nz5lXDSgrK3Nq1YCLF2ksW2bpS7vzTgNeeEGHceMsW1QTAly+TOO33yT47TcahYWW/jc3N4Lu3Vn06MGiZ0/G+P9OnUxVtxkGyM2lkJ5OGx+XLtE4c4bb1gMPcJMEd3f79p9lAU9PbozJyKiutwJGWloaGIZptrWE5+6778bcuXMxfvx4HD16FMXFxXjttdeatc2ZM2fC29sbn332GcaMGWMUl/T0dISGhuLy5csYMGCA8f1TpkyBp6cnNm/e7ND3tIokSvOyKvbAD97t27fHoEGD6k0oa043Sp4ffhChuJhCly7k33bAEoSFafH449bvNW+N3Lt3bwQEcImIajXw0EP1C8uqVXl49lkfs+1wFZXfeUcEtZqCWMxlxZeXO09UgoIIHn6YQb9+nL+GEAoyGYGrK+DqCty4kQwfHxkCAoKRnU0hN5dCSQlnpoqOpnHyZMu6665c8cHSpT74668qPP10EgICuNDZIUPEOHgwAydPDsXKlbanjyoVhbffluO33yT4/nuNw2YQkQh49VUdRo0y4OmnFcjMpJGXR+HRRw04fVqEzEwad9+txPvva/HCC9Yz4LaQnGgridK8aoC5A7qsrAxZWVlNqiacmkph+XIZ9uzhVF4qJXjiCT2ef16P7t0tz0tyMo2dO8X4/XcJMjJM15erqx7TpnGdR8PDWXTsSBpddYhE3DUeFMRgzBjm398MfPONBG+/zZlZ4+NF+N//1OjTp/Hrgwvl5+4TrnCr7Tm5s5Mo+dpinTp1wlNPPdXs7e3YsQOXL1/GhQsXrF4rKCgAAKsivn5+fsjKynL4u26ZuJhf2Pa2JWZZFteuXUN2drZV/3hbNFdc1Gpg7VpT98hPP+X+//LLRRCJfC3ea96COCIiwliyQaMBHn5YgqNHbQ/GL72UjfvuqwLAiUtWFvDccxLj4C2TERACVFY2b8CaOZNLvOzXj0V5OYWEBApHj3LdMQsKbG27n83ttG9PcMcdLFatMqBHD4LOnTnR3bJFhJ07nV948fx5d1y4MBwzZmgwd24OtNob0GpVGDHiKHbv9sdXX4Xh8GHbtuCYGBGGD1di1SrOV+JolPuQISxOnlRh/nw59u+XYOtWCcaNMyAkhMXRo2K89ZYcp06J8fXXaqMp81Y7yO2lsQx93gHNO6HNqwbw1YQVCoWF2JhP8vLyKHz0kRT/+x+XsEpRBNOnG/DWW1oEBZmOUUYGF0Tx229iXLliun6USoJJkwyYMKEMHTsmYtSooY38HjQqOBQFPP+8HoMGMZg1S4Hr12mMG6fE7t1qREY2Pk6Ixfi38GX977Gnf5S98D4yZ5V/yc7Oxssvv4xDhw5B3kDpgrrXRVOrObSKlQvA9V8xNHDWamtrjbkr5oN3QzS11THPpk00CgooBAYSZGVRUKsp9OtXjdGjqwCYxKW0tBRxcXHw8fGxaEHMssCMGWIcOWJ7VHv1VQNmzCgCy3KmwPR04M47pcjL406kREKg1TZdVJYtS8SMGZ1w5owL/vyTxowZzc82Ky6m8PvvIvz+u+XzcjnBvHkMhg9nQQjwyy80Dh50Vh9xCj//rMCePV3xzDMeuO++VHTvHoSysjK8+eZFjBsnxptvjrL5WYOBwuuvy7F/vxhff60xOortxdsb2L5dg6++YrB0qQxHj4oRHMxi1iwdtm+X4MABMUaOdMFPP6kxbJjzC2C2FI4OGDRNw8PDAx4eHggODobBYDCa0K5fvw61Wg13d3eIxe2wY0cQfvzR1Zhfdc89Brz3nha9enHHR6cDfvtNjO+/l+LSJdM1IpUS3HWXAQ8+yLVPcHEBUlNr8ddf7bF3rwypqTRqa7m8LZWKMw+rVBTUakCrpdCnD4OpUw144AF9gy0Vhg5lceqUCs88o8CxY2KsXStFZKS60WNgr7g4u/yLs1ocX7p0CUVFRRg0aJDxOYZhcPLkSXz55ZdISUkBwK1gzDvxFhUV2dWSpC63zOfC57jwnDx5Er179za2LjWnoKAAiYmJCAgIQPfu3e0+eQUFBcjIyEBERITD+6fVAr16SZGbS+GFFwz45hsRGIbCDz+kYMgQLbp3727RgrhHjx7o1KmTxQ37/fc0FiywPaDPmMFg40YDrl5N/rfnRA+MHy9FVhbntNdqGy63Uh933JGH6dOvw8WlHbZv74YDB+w7Vj17svD3B7y9uYABhimGWEyBYdqhsBDIyaEcCsft0IHBtGlXERamxtGjXfDnn44XCq0PX18NVq7k2hrTNOcryM8vw8qVLti2zbo9NY+HB8G6dRo8+KBjiZE8Fy7QmDVLgexsLnpsxgw9Tp3iSvaIxQQrVmjx1FMVuHjxQrNztlqa8+fPIyQkpEkFXG1RXq7Bl18SfPONN6qruclVeHgVFi8uw113cc27qqspbN4swVdfSZGXx11LXBAH1xLhvvsMEImAs2dFOHlSjJMnRYiLo5t0H4SHc0Lz8MN6dOlie4hLTaUwaJArRCKC1FQV2rVreCjs2NEV1dUUYmNrEBJi+73OzB8ihKBTp044deoU+vWzbUlwhOrqaivz1tNPP40ePXpgyZIlRlP+K6+8gsWLFwPgonp9fX2b5NBvFWYxwLYJi2EYXL16Ffn5+cZQXkdozsrlf/+jkZtLISCAICODs7NOnsxg8GANWJZAp9MhPj4etbW1GDZsGNzreAZzc4G337Z9eO+4g8W333LZ5TRNo6iIwsMPS5CVxflXmpKnMmeOAePGpeLwYQOef972LB7gROSRR1iMGcNi8GCuImxmJlBRwc0Auax+CmlpGmi1FLy8uBpmgYEEnTtz/wJcVeWUFBqnTlHYvp0r2mlOfr4IX33V2/j3kiVc3afvvhMhIaF5/pqiIjlmzwa+/ZbB+vUa9OolQVCQH775Bpg9uwbjxtle1VZWUnj6aQX27dPj0081jWZb12XIEG7Gy5vJNm2S4q67DAgNZXHokBhvvCHH6dOeePLJFqpH4kScVbjSYOCy2Feu9EFuLndee/ZksHhxBQYOzEN5eRkOHNDgwIEw7N8fhJoa7p7w82Px/PN6zJihx7VrNI4fF+Ghh5S4dIm2akYXGFiLCRPEGDiQgZsbZzJTKrl/XVy4fymKS4jdtUuCEydESEjgHmvWSLF7txojRliPA2FhBAMGMIiJEeGPP8R47rmG86r4OS0XrWZbXPiqyM6AN4s5K8/Fzc3NKkTaxcUFPj4+xucXLlyIlStXIiwsDGFhYVi5ciWUSiVmzJjh8Pe1WrNYTU0N4uLiQNM0IiMjm9RDurGe9/Wh18NYmXjUKBa//CICRREsX85dONXV1YiKioKHhwciIiJsFqd79VUxqqqsb96OHQl27zZFMVVXS/D8852RlkaDoojDOStz5jCYO1eDt9+uxWOP9bT5nkWLDBg7lkVkJEF1NRe5c+gQjZUraVy4QKGiwtZ3dqn3O318CIKDCYKCOJ/LmjUGDBvGIjMT+OOPEuzY4YPSUkub7urV3PHs3ZvF99/rkZHBdaVsDhcuiDBqlBJLlujwyis6SCTA4MEERUXV+OADGdavtx15+NtvEpw8SbB+fSUmTpQ5NMjWNZMdPixGWBiD2bN12LxZgr/+kuPy5ZEICqLQu3frNZM1V1wI4TLq339fipQUbtTt1InF229zBUZFIilSU4Px00/dsX27xBgWHBiowv33X8PQoRqcPdsFY8e2R26u5XXQpQuLO+4wYOBAFq6uRcjOViE/PxQbNkiRkUHD05NbNU6aZECnTqyxoOSTTxrw5JMGlJYC+/ZJsGmTBBcvivD443L880+tzUoODz+sR0yMCL/+KmlUXMRiAoC6aWYxtVoNlmWdZhazh8WLF0OtVmP+/PkoLy/HsGHDcOjQoSbtwy0zi1nWlgIuXrwIPz8/BAYGIjc3F1euXEFgYCC6devW5JlARUUFYmJiHA4L3byZxty5Evj6coNodDSNJ55g8P33ely6dAmlpaXo3r07OnfubPMGNS8TU5f8fK1xxlxVBYwbxyIx0fFeHRIJQWqqDr//rsNrr1mf+GnTGHzwgQGdOwP79tH47Tca58/TyMpquUim0NAaDBhQjoce8sLo0RJcvEjhww91OHfO9kri7bc1CA1l8cwzjk8c6tK3L4MNGzTo29c0oJ8/T+Ouu5QNmlWeeCIF8+aVoV07Lty2IUdnXaKjacycqUBeHg0XF4JZs/T44w8R8vJEUCgI1q7V4PHHm2aCa2mioqKMlXsd5cwZEd57T4bz57lB1MuL4PXXtZg9Ww+5nDsu69ZJsX+/KZdl+HAD5s/XgxBg82YRjh2TGF9zcdFh0KAqVFYqERfXtGvB1ZXgr79qLRq/1dYCkyYpcfmyCGFhDI4cqbVarebnU+jRwwWEUIiPr6nXhAYAYWEuKCykceqUCv362Z44ONPcWFRUhK5du7bZsvu3tLaYTmeq0xMTEwN3d3eoVCoUFxcjPDzc2EipqVRXVyM6Ohp33nmn3Z8xGIC+faVIT6cwbhyLo0c5+3pMTC2qqhJQWloKNzc3DBs2zObnKyqAAQOkNpMcr1/Xgg9wU6mA++9vOFO/PpYtM+CBB1j062c9M7/vvnSsXdsRcjnw008ifPWVqNGSFS3F8OEshg0rQWRkISoqemD5crGV+QwApk3TIyKCweuvN6/nsFhM8OqrOixerDNWTVCrgaVLZfj22/rzp0aMqMKiRfGg6TIolUqHkgiLiyk8/bTcmL/x0EO1SE1VIS6uPQBg5kwdPv5Y22LtlJvKmTNn0Lt3b3jWlw1qg6QkGu+9J8OhQ9xvVSoJ5s/X4eWXdXBzAw4eFGHdOinOnTOtRCZP5lYYKSkibNsmRkmJ6Xr392dRUODckPbFi7V4+22dMXKsoIDCuHFK5OTQGD3agF271Fa5T/feq8DJk2KsWaPBvHm2Vy8lJRRCQrhJ0vXrNfUWzzx79iy6d+/ulCrsGRkZGDBgAHQ63U1tge0sWo1ZjBCCzMxMuLq6YsSIEQ7NIOuD9+M4YgL49Vca6ekUvL0JeN/X00+rkZNzBi4uLggJCTEWnbPFO++IbQrL3r06o7BotcAjjzRNWA4d0uHUKcpKWF55xYB581TYsycb773XGdu2OX4xhoayGDCAoH17oLq6AhqNAe7u7VBbyyWkZWVR9faHscW5czTOnfPF55/7YuJEBp98YkB4OMGWLTTWrDFdert2SbBrlwT33GPAxIkGvPxy0869wUBhzRoZ/vpLjA0buPbFCgXw8cdaTJxowAMP2J4VnznjjszMSGzcWIPg4GKUlpbi6tWr0Ov1xsKC3t7eVl0HAS40e/duNT74QIrPPpPht9+U6NlTg2ef1eHHHyXYvFmKmBgRtmxR1+sEvhU4ck+UlXF9cH74QQKWpSAScau0JUt08PUl2LlTjI8/luLaNe6ak0oJ7rvPgM6dWZw9K8ILL9hemdsrLJ07V2HoUC26dBFDr1cgL48zY9lizRoZtm+XICpKBQ8PrlncL7+ocffdSpw4Ica+fWJMnWq5muQd+Q1Z0E+f5n5bz55Mg1WZnZnnwvtb2kLelC1uubgQQpCdnY3i4mJ4eHhgyJAhTnOIiUQiEELsvpEYBli9mrswOnQgSEqi4erKYNSoU+jUKRAhISHIzc2tN0jg1CkKP/xgfWHdey+Du+7iLkhCgGefFeOffxz7jZ06EXzzjR5PPilGYaHps+PHs/jf//S4do3C9OkuuHx5dKPb6tuXxZNPsujWjaBrVxYBAVz/8aIiCoWFFAoLgeRkBmVlBoSGcoUxvbwAT08CT0/AwwNQqxmcOJGDhAQW1693wenTDdekOnhQhIMHRZBKuZDls2e1uHyZtRh4DhwQ48ABMR58UI8xYxgsWNA0kblyRYTx4zlfzOuv6yASAePHM7h2rQaTJyuQmmp9jnJzaUyc6I6VK6V44QVfAAS1tbXGroPp6ekWpey9vb2NvjaxGHj/fR2GDGExd64MycneKC1lsWgRJzDx8SKMHu2Cr7/W4N57W4eZzJ57gmGAzZslWL5cauz4OGWKHu+9p0VoKMHff4uwfLkMiYnc8fTwIJgyhTN9/fmnxOHcLJGIGB3vNTVc8zagBhKJDjodoFLlIzLyBgIDlXj3XW94eXkjM9Md33wjw9atJrHJzqYRGOiGnJxquLsD4eEsHn1Uj40budDnuuLC1zZzd69fNE6e5H7jHXc0HCDkTJ9LTU0NXF1dBXFxFIqioNfrkZSUhPLycvj5+UEikThNWADLzH97trtrF1cIz8WFGBMLp027jrFjw40h0vUlZmo0wAsv2D6cn3xiupj/+IPGb785dvG99JIBd93F4t57LVcrGzdyPWQ++ECETz5p+FQ+8ACDhx9mMXEii4oK4OhRGjt20Dh50rapyjyPxxY0TRAc3AGRkVI8+iiFNWt0aN+e4J9/aGzfLqq3GoFOR+GLL8T44gsxRoww4I8/VCgvp/HMMyaR+f13CX7/XYIXX9TB05NgxQrHiykyDIWVK2U4fVqEH37QwN+fwN+f4Pz5WqxaJcWaNba3+dZbcpw7J8JXX2ng4eECFxcXBAYGGgsLlpWVITMzE0lJSXB3d7foBnnvvQbs31+FJ55QICvLHWvXSjF3rh4XL4pw/rwIM2Yo8NJLOrz3nrbFGlzZS2Picu6cCK+/LkNcnGnGvmaNFqNHM4iKEmH+fJP5y8OD4KGH9NBqKezcKWly/yCGoWy0WvA0+78vNmzgana98UYq+vePh5sbi/nzvfDEE36YONGyb9PKlTJ89BFXZJL3kcTHW1+X1dXcvw2VgnFEXJw1hrVkReSbwS2tinz8+HEolUr07dsXOTk5UKlU6Nu3r9O+gxCCv//+G2PGjGnUzMaywJAhEiQl0ejf34DYWDG8vHRIStLA29s0EBUWFiItLQ0jRoyw+Pz774uwapX1AP/22wa8+y53QVZWAv372/bH1MeaNVyo64MPmoSlXTuCQ4f00Gi4VVBysu2LuUMHgtWrOWE6f57GkSMU/vmHxpUr1u8XiThzmJ8fga8v4OJSDbG4FnK5LyoquNIzFRVAWRlBWRmBVmv9W6VSrs3xxIlcU7CiIgrffqvG/v0NF3CKjDRgyRIdVCoKM2ZYm1DeeUeLkydFdvV4sUW7diy++86yYjJfiLA+QkNZ7NihtipRwqPVao2rmvLychBCjD050tLy8dtvd+KXXzgFmTRJj/btCTZv5s5hRIQBmzZp0KHDrTOTnThxAoMGDbJKRs7Lo7B0qcxodvL05Oq0zZ6tR3IyjfffN/lc5HIu6READh4UW1Ulvhl8+WUJRo7MRVlZGa5dYzBvnqV/tbKyGhTF1SobM8YF3t4sMjJUFtn8w4crceWKCHv21GLsWGvxKCig0K2bKyiKICOjBvW5U1iWxfHjxzFixAinVJfeu3cvVq9ejbi4uGZv61Zwy1YuUqnUmDRpb/kXR6Eoyu5cl5MnqX/NYCxcXIoABOCRR2gLYQFshzcnJVH45BPbq5FFi0zfvXSpbX9Mfbz9tgHt2xvw4IMmYXzgAQYbNhjw5ZcifPih7dPn789ixw4D+vUj2LyZxpAhUuTkmJfbIRg4kGDcOBbjx7Po3ZvAx4crj1FczK3CbtwoR1FRObp184FeDzAMAcvmorz8Cnr06A6aDsTlyyJcukTh8mUaly5RKC+ncPEihYsXaaxYAfTowWL8eD02bYqFUtkbixeLLZqb8URFiTFlihjDhxuwZ08tKioozJxpEpkVK2RwdydYv17TJFNZSQmNadOUePVVztkrkQCjRzNIS6vBAw8okJBgfe6uX6cxdqwSGzeqcc891tePTCZDhw4d0KFDBxBCUF1djdLSUhQXF0Mi0eGZZ46jS5fuWLs2EPv3SxAWxuCdd7T44gspzp4VY+RIJX78UYPRo517zdtL3ZWLVsv1K1mzRgqViivXMnOmHkuX6lBVBcydK8fOnZzgiEQEAweyEIsJ9u0Tg2WdJyoTJxrQty8DrZZCTQ2Qk1MNtVoMtdoVFy5Yn6cXX2yH3buVGDeOQf/+BgQE5OD++00JjD/9lIaxY0Xo2NEbIpESZWVc/lqnTiZh581ibm62xf7UKe57+/Zl6xUWAMZxwdlmsbbKLfW5tG/f3liLqbHyL03FXtE6fJi7wIYOzUNiIpflfe+91rNWW2K1bJnI5qztl1/04Gv7RUdT+O47+5fL8+YxCAxU4+mnTWHGa9fqcffdLO65R4LYWNvbWrjwEl59tSu2bnXBo4+aIsX8/AgmT+bEZMwYztF95QqFqCga771H22hc1gXWuS4h/z44IiJY3Hkni4ULDYiIICgsBE6fprF7N40jR7g+G1ev+gDwQffuLJ55hsGoUSz+9z+ui2Zdzp3jRCYiwoADB2rxzz8ifPIJJ+5VVRQWLJBjxoxKsGwFduzobPexNB0/GU6fFuPHH9UICiLw9SU4daoW77/POePrUlND4dFHlVi6VIvXXtOhPisSRVFwd3eHu7s72rVrh5iYGHTtGgovr0L4++dhxYp+SE1V4NNPgQULarB/vxKJiSJMmaLA22/r8NprOofrnjUXc3E5eFCEN96QIz2d24khQxh8/DFXKufDD6XYvFlizL8KCmIhkxGbA70jeHoSzJ2rQ+/eLHr14nqt2CrJdeVKGhQKBYKDg5GWRuGrr6TYuNHSPDx1qvLf8GAxxoyx7Hmydm1vDBlyEdnZ2QgMdEdmpjuOH6/AtGkSY+6cyedie195k9ioUY2bxAA4zSzmzLpit4Jb0onSFi2xcrF3uyqVCn/9xdUWCgtrj6IiEVxdCe64w3omU3flkp8P7N9vfRh792Zx//3c+/R6zh9jbxmL0aNZBAeXY948k7Ds3s0Jy/jxUpvC8vrrBty4oUVhoQv69XPDW2+JUVjI1UX7/HM9UlJ0+OwzrirAqFFSeHvLMHKkFIsXixvsiNkQZ8/S+OADMe69VwofHxl69ZLh9GkaCxcySEvTYeNGPcaPV0EiYZGSQmPpUjEmT5ZAIgHOntVi9Wrb7SPPnhXjnnuUKC+ncOKECgMGmM7ftm0e2LGjM779tvFaULY4f16EkSNdcPQoN2DQNOeM37Kl/u0tXy7DrFlyqFSNb58ftNu3b48ePXrgmWd64cSJagwfroJaLcKaNW7o1CkXEyeWgGUpfPCBDA8/rEBpaZN+TpPhWoKL8fDDCjzyiBLp6TT8/Fh8840aO3fW4s8/xejXzwUbN3JtByQSLrDjxg3aZkCEPYSHM3jjDS1WrdJgyhQ9Dh4U4913Zbj3XgVCQlzh7+8KLy9XdOrkiunT5fjhBwlu3DD5Ybt2JfjsMy0yMmpw552WE9FRo1yM5+fZZ00pDjduSI2dH11cuFVvRUU5oqOjERUVhYSEFFRVce+tz6HPm2NHjWp48ss3P3SmuDQleby1cEtXLhRF3fKVS0FBAc6eTcG1a3cBgNGXcNddLGyZTeuuXLZuFVmVqwCAbdsMxpnuF1+IkJho3wVH0wQjRuRiyRJTz5ING/QIC2MxcqTUZtn9pCQtamsp3HWXBCkpPQAAYWEsXn+dwfTpLGJjKUyYIMH58w3vQ1gYizvvJAgNJVAqS1FRkQeVikAm84KXV0fU1NBITaVw8iSFtDTb29qyRYQtW7jBp0sXgnfeKcErr8QjL28wvvqKqxX17bcifPcdjUmTDNi9W4XkZBHefNPa3LVxIzdr/vxzDfz8CB56yHSjzZ2rwAMP6NGhA8GGDfb1AOKpqKAwbZoCK1aYSuZPnWrA2bMqRETYdqD+8YcEaWk0tm1To3Nn+30lFEUhKEiBAwdYrFihxaefynDwYBD69avBrFnXsW1bFxw+LEZEhAzffluG0aMVTg1qsUV1NcGWLb2wd6839HpOOObP12PBAh22bpWgf39XY9UGmuZ+q15PobLS8e+iKILwcBZSKZcn89FHjfsiqqq4DPt9+yQABiI0VIONGxljgqSPD8H332sQGalEfr7pWJ04IcKkSQzuucdgtboBKGRlcWa9u+8ORnBwJ1RUVODvvw1gWQqenhrcuHEBtbVchWcPDw/QNI3sbAoZGbRFJFt9OLtoZVtfudzyUGSem71yMW9BXFk5FIRQ6NGDRUwMd1NNmmTbkWu+ciGES1Ssy9NPM+jenbspMzK4vvf28sUXcXjxxf7Gv998kyvdMnastbCEh7M4dEiP33+nsWiRGBoNBW9vDT76SIfHH5fh9GkKbm62b+bAQIJXXjFg4kQWIZZBNiCEICHhBvLy8tC7d28EBgaAq6VkeRxZlvt9iYmcKWz7dsvfmZlJYfbsDgA6YOpUBps2GVBYCHz+uQgHDoiMA8jw4Qbs3l2Ls2dFWL3acn8NBgovvKDA4MEMDh9W4fvvGfz6K2e/4Fsfb9igxvz5jlU5YFkKb70lR3y8CJ9/roFCwa02MzOr8cADSsTEWJ+zhAQRxoxRYseOhisg24rCEomA997TYfBgFvPmyREX54q8PCWWLq3F999LkZUlxYMP+mL27CQ8/ngVfHy84ePjY1fPFHshBPj1VzGWLpUhP587huPHG7B6tRYxMTRGj1Ya64Nxv4M02Z8SFsagqIhGZSWF+HjTsXR3Jxg4kMGgQZxY+Ptzkzi5nAsIkcm4rPmjR8U4elSEs2dpXL8ux6RJBD/9ZPJ/+fgQ/PCDBpMnmyYcX38txaRJagwebH2/FxdTqKnhfElBQQRisRjt2rVDQgJ3vU2aBAQGdkRZWRlyc3PBsiw8PT1x4EAoAFf078822ljMmZFiQNsXl1sWLQZw1Wz5gbqyshKXLl3CuHHjnPod0dHRCAwMNDbuAkwtiAkh6N+/P954wx3ffSfCffcx2LtXBJomyMrSoX176+1pNBocP34cEyZMwKlTItx9t/WsubhYCzc37maeMkWCQ4fsu+C+//4knnvuDuPfjz/O4N13DbjzTkuHPAA89hiXlPjKK2JjH5W772Ywa9Zx9OrVDw8/7I1r1yy/t317gq++MmD8eFM9JoMBuHCBwoEDNE6donH2rH372q0biwceYDFhAouePYnR0VlcDBw4QGPVKjEyMmwPTFu36tGrF4svv6SwbZvEWKhz2jQ9XnxRh++/l2L7dtuxui+8UIGgoAwsWTLA4vnXX9ciMVGEAwccny8NGMBg2za1sTWywQC8846s3hWRWMzNnG1VV66qqkJ8fDxGjhxZ7/ddv07hyScVSEwUQSQieOUVHVJSaOzdy/3miRMrsGBBIgyGMsjlcnh7c0Lj6enZ5F4hcXE0Xn9dZgwf9vNTYe1aFu3bi/DmmzKL0vfOxM+PxaRJBvTvz0Kp5HoTabUU8vIoyOV8EUpuVWAryfTkyQSsWtUPZ864gKYJvvhCi6eeMmXR3323AmfPmo5JVVU1srIohIe7Wjx37pwIEyYoERTEIjGRs58RAvTv74KMDBo//6zGffcZ/n2eoKamBqWl5Zg0KRg5OUo8//wVzJxZbQw9t9Uxt7y8HFevXm1SFXZbLFy4EN7e3vj444+dsr2bDrmF6PV6otFoiEajIaWlpeTPP/80/u2sx+nTp0lqaqrx7+zsbLJv3z5y6dIlolKpiEajIWFhDAEIuesu7t+ICKbe7VVXV5Pdu3eTmpoaMn26gXCXqOnx7LMG43t/+01n9Xp9jylTrpP77680/t2nD0OSkjSkc2fW6r2LF+vJ+fNaEhrK7a9YzJKVK/WkqkpDHnsszer999xjIAkJWuN+FRVpyBdf6IhIZL3t5jy8vVnyww86UlLCfU9FhYZ8801hve//4gs1SUysIk8+qSUUxe2LRMKSF1/UkoMHVUQms71/YWGV5NixGnLffZbHt0sXhqxfr27Svvv6MuTQIRWpqqoyPr75prbBzyxdqiGVlVUWn8nOzib79++3eM7Wo6Cgijz2mGn/77tPR954Q2M8J126MOTQoUqSnp5OLly4QP7++2+yZ88ecvz4cRIfH09yc3NJZWVlo99z40YVee45LaFpbrtKJUveeaeWfPnlETJ1qtap559/tG/PkP79DaR3b+v7o7HHE0/oyD//1Bj3/9ixYyQp6Rp58kmt8frIyKg2vv7MM5a/IS+vihw9WmPxXFVVFfn6a+5cjhmjN3720qVqAhAilbIkN9f62O3cqSIAIe7uLElKyiKXL18mR44cIbt37yZHjhwhly9fJpmZmaS8vJxUVVWR9PR0cvjw4UbPib2PRx99lLz33nu3cohuFq3Koc+yLIiTF1K8WYzvYhkbG4uePXuid+/eEIlEyM4GUlNp0DQxJlNNnly/yYO3qZaUMFZmIAB49lnTkvybb+yfDT7+uAf+/NO07j5wQI9HH5VYFZpcv16P6dNZTJwowfXrNAIDCY4c0WPKFAbu7jLs2BFqfG+vXizi43X44w8DunYlOHCAhlwug6+vDC+9JLHpK2oOZWUUZs+WoF07GeRyGRYuFGPoUB2OHj2GpCQtpk+3NFe89JIcffq4YdAgFseP12LsWAP0egpffinFY48p8MknWnzyibXTPzXVHWPHumD0aAY7dtQan8/MpLFggRxffmk7UKAhiopo3HuvAr/+apoFz5jBRa3Vx/LlMrz4ogz6hovp2kSpBL79VoPPPtNAKiXYu1eCnTsl+OwzLYKCWGRm0pg0yQ1btgQgLKw7IiIiMHz4cPj6+qKqqgqXL1/G6dOnkZSUhPz8fIs6fQBnsvz5ZzEGDnTB999LwbIUpk3T4/jxWlRVAa+8Mga7dzvmq2oIT0/TfVtcTCM2VoSkJMdXQ1u3SjB+vAs2bJCAEM58LZPR+PJLLfr1Y6DXU/jtN9M5qpuHVFJCoaTE+rrm2yYHB5vef/Agt52RI7lS/nXhV65PPaVHYKAXunbtiqFDh2LkyJEICgqCXq9HcnIyTp06hZiYGBQWFgKA08YwZ5bbvxW0GnHhl/vO9rvQNA2tVosLFy6gqKgIERERFiayY8e4Q9CjB8Hly9xF2ZC48PZ080GIx8+PYMAA7sLKygL++ce+wXvx4vN45BFTk7TYWB2++so6COCVVwy4+24W994rQVkZhSFDWERHc+VNeve29FWcOaPD5ct6dOtG8PffNBQKGR544OamhW/aJMLAgZ0wbtxYJCXR2LjRgLIyLT76yNKctHChHKNHu2DBAh1+/70WPXsyqKjgQo/37RPj8GEV+vWzvi4WLZLjhx+kOHVKBW9v0zl78UU53nhD22h0T110OgqzZyvwySdS8OPDiBEMLl+uqfcz//ufFA8+qEBFhek5e8t1UBTw7LN6HDxYi06dWFy/TuONN2R4+WUdHnhAD4OBwrJlMkydqkB+PgWFQoFOnTqhb9++GDVqFPr06QO5XI6cnBycPn0a58+fR1paGs6cqcHEiQo8/7wCJSU0unVj8McftbjjDgaTJinwxRcK6PXONYPZbtvQdN54Q46XXpJBr2dB0zQoCpg+nVPxbdtM13HPnpb3qq8vsTIHA8Dly9zv7drVWlwmTrS+TpKTaRw7JgZNE8yZYyncUqkU/v7+6NmzJyIjIzFkyBC0a9cOKpUKKpXKQvS1Wm0Tj0Db97m0GnHhVwTOjhjT6/W4ceMGFAoFhg8fbnWy+N72LMsNLiEhBD161D/z4EINRdiyxXrWN28eY4wQ+9//RLAn9HjAAAYXLpiaoM2axUClAj76yFK8hg9n8corDO69V4LcXC74YPduPY4coTFqlGlfevWqREJCDgYNIjhxgoJcLsOUKbe+edUjj0igVMowf74YzzzDoKpKgw8/tFxhTJumxNNPK7BjhxorVmgglxMcOybGAw8o8dRTevz4o3W48JEjYkyerMSWLRo895xpEPjoIxloGli61PGbe/lyGRYsMK1IunYlyMioRs+etic+x4+Lcdddyia3Mxg8mMWpU9zKrbaWwmuvydG+PVeyX6kkOH5cjMhIpUVXUZqm4eXlhdDQUAwZMgQjR46El1cXfPRRB0ye7I9z58SQyxm89loh3n23Cm+/LcPChXKLqsStnc2bpfj77wCjk/zhhw0QiwliYkRIT+eOdd1Vo1LJ1TXjGTvWgJISCseOcceOF5KKCiAqivdVWo85X3/NbePeew0NluGnKMpYIiggIADe3t4IDw+HQqFAbm4uzpw5g+joaFy7dg0lJSUOjW9tvfzLLb3SzGd4jmTT2wMhBNevX0dpaSk8PDwQHh5u5QwlBDh+nDsEfD2kyZOZepPleNLTPZGYaL1yefRRbt+5gn/2zQyfeYbFsWNBxr8/+MCA2bMtty0SEWzZose0aRJcu0ajUyeCvXv12L5dhKeeMt1I775rwJdfxkCpZPDkk2KbwQa3mh07RPD1leGJJySYNq0E6emFeO01kwBUVVHo188VOTk0jh6tRUSEATU13IC7caME27cXwMPDciZZVUXh3nuV6NqVxf/+ZxKgEyfEWL5chk2bHM+J2bJFioceUhhzIHx8gFOnajFtmm0bWEqKCOPGKRET0zQh9/Eh2LVLjddf547Fd99JsWOHBDt2qNG3L4PSUhqPPqrE4sUyaOpY/QgBdu1S4p57gvHrr/5gWQr33qvG55/fwJkzYjz5pBeuXGl7JdsB4LPPegHgbsj27QkCAriBvrSUe+76deshjO8zAwBvvqnDH3+IwTAUBgxgEBbGff7gQe65Hj0YBAdbikdpKbBjB3ce58+33+bJsizEYjE8PT0REhKCwYMHY9SoUQgODjaa5U+dOoXLly8jMzMTVVVVDZrQhJWLE3FWrotOp8OlS5eQm5uLgIAAKJVKm6aK5GQKBQUUpFICvop+fSHI5hw5EmT1XMeOxBjSe/QohezsxmexTz3FGDteAsC33+qxfr3IqlbYyZN6PP+8BBcv0vDxIdi3T49ffhFh0SLTZw8d0uHttxlUVUkRGtrZGEHWWvnzTxF69uyEZ57R4Y47TuP48TgMH24aNb/5RorISBesWKHFxx9r4OJCcOaMGHPn+uLFF5Px6qvWK5IlS+TYu1eM06ctsx1nzVJg40bHBebYMTHuvluJvDzuXEqlwE8/aWx+N8D5Gh5+uD3OnPFz+LsALlz53Xd1+OWXWnh6Epw/L8KsWXK8/roO8+dzgvrNN1KMH69ESgp3jSQl0bjnHgXmzFGgqIhG164sNm5UIyBAhPnzu+DcOZ+GvrJNEBNjyoHiVyp84c+6+Vbm5kmAqzawcyd3nzz8MPdhQoCvvuImXrYi/jZtkkKjodC/P4OICPsnu7byXCQSCXx9fdGjRw9ERkZi+PDh8PPzQ3V1NWJjY3Hq1CkkJCQgNzcXarXpGiWEa3F8M7tQOptWJS7OyHUpLy9HVFQURCIRIiIioFQq6211zJvEpFJu9uvhQTByZMPOOLUaOHq0g9XzixebLtJNm+wb2KdPZ4z9UTp1YtCrF7HocwIA332nx8mTNP75h6vWvHu3HjducH1jeI4d0+GOOzjfytSpkXZ9d2vh+PFATJkyHr/95oWlS4/j449PWbw+frwLEhK47n9DhzKoqqLx4Yf9oFZT2L3b2tn+668SzJkjR1SUCr16ma6lZ59VYP16Ddq1c6z1cFISF8KamsqdJ4oCli3T2Qw0AACtlsaKFQPwxRcSNNWve889DE6c4PxMZWU0nnxSAZYFtm5Vw8eHRUKCCEOGuKBdO1eMGKFEVJQYCgXBm29q8cQTerz2mhzffSd1esBGS0NRtg/Y33+bcln4uScvLuYrl169GOzfb3n/5ORQOHdODIoiRiE5dkyEuDgRlEqC2bMtV8F6PfDdd9zG582rv+SPLezJc1EoFOjYsaOxakC/fv3g6uqKwsJCnDt3DmfPnsWPP/6IrVu3wmAwOG3l8vXXX6Nv377GMkURERE4cOCA8XVCCJYtW4aAgAAoFAqMGTMGSUlJzfvSWxipRhjGMuT3yJEj5MaNG00KOVar1SQ5OZns3buXXL16lajVaqLRaMjVq1fJ2bNnbX5m8mSDMZQXIOThhw2Nfs8//9gO38zJ4V7PydEQiaTxEN/HHjOQjh1N79u3r4z06cNYvCc0lCFXr2qIUsm975tvdOTaNY3Fe37/XUc0Gg3ZvNn+sOfW/DhxoojExCSSxx67YfXa2bOVZO5cU7j2oEEGcuxYDfHwsD7eSiVLDh+uITNnWp6vpUs1ZOJEvcP75ePDkBMnaixCRbdsaThU+dlntaS8vOmhqMXFVWT+fNP+9+1rIPv2qay+p29fA1m9Wk1CQhiHf1drevDh6HUfjz9uChH39OTec+ECdy74ewMg5KuvLM/HwoUasmwZd7+MHm0KQR49mjv/zz+vtTrmGzdy2/D1ZUhxsWPn6+LFi+Ty5ctNPt9lZWUkPT2dLFq0iAQFBRGKokjfvn3Ju+++S06dOkV0Ol2Tx9o///yT7Nu3j6SkpJCUlBTy1ltvEYlEQhITEwkhhHz00UfEzc2N/P777yQhIYE8+uijpEOHDqSqqqrJ34kmf9IJ1BWX48ePk4yMDIeFpbq6mkRFRZGDBw+SgoICi9dSU1PJ6dOnrT5TU6Mhbm7chckP8l98oWv0u9autR7EO3Vija9//LF9A9eBA6ZBo1u3crJlS5nVe+LitOSeezgBHDmSIRUVlsLy+efc/v71V8vkK9yqx/jxelJcXEUuXqyweu3VV5PJu+9GE09PbiD19GTJzp0q8tBDtsV127Za8tFHlrkvTz2lJYsWaRzeL1dXluzda5kLY2uwN39MmqQjBQXNy3f49VcV8fFp28LRnEf//jpSVVVF0tKqjc9lZFSR8+ct81kyMqos/o6NrSZ9+nD3z5dfqv/Nm+E+IxazJCmp2uI4V1RUkQEDuPe/9ZbG4fMUHR1N4uLinJLjUl5eTkQiEVm9ejWZPn06adeuHVm8eLFTx18vLy/yww8/EJZlib+/P/noo4+Mr2k0GuLh4UG++eabJm+/zZvFKisrERUVBUIIIiMjrXqC17fNS5coVFdz7Yx9fAgAIDDQ6m1W2CoauXIln9kL/PRT44fUx4dYVAV+7bUkfPedZYG6Rx5hcOUKhQMHRJBIuMz6xx4zLflnzWIwdy6Ly5cpqyZibZ1//hGjfXs31NaKUVpajYceMjlV167tgT17gvHRR8fQo0cFKiooPPaYAhEROnz8sbWpasYMBSgK2LnTZELbskWK8+dFWLvWsXyYmhoKDz6owJ49pvMwahSDqKj6K1ru3y/BvfcqbeZe2MuIEYxFLxqeHj1uTbn+mw2fQ3PiBHfPhIcz8PGB0ZfCs2ePZTBFeTmFxETu/rnvPu4aWreOu1ceftiAwEBi8f5ffhEjJoYrWvvss44nLzm7URjDMHj66aexbds2FBYWYunSpU7ZNsMw2LFjB1QqFSIiIpCRkYGCggJMmDDB+B6ZTIbRo0cjKiqqyd/TaqLFAMcc+oQQ3LhxA+fPn0enTp0wcOBAmyUZ6hMX3obevz8x9ljhy380RFyc9SDBl+ZPTKRsNuKqy5IljIXDnaZpqzbBixczePVV7uZZtIjB1asUDh40fWbDBgOuXwciI1tWWCQSroNjaCgLf38ChaLxY+Qs7rjDBW++KcPGjRr8/rtJHOLj22PevPH4/vtqTJpUCoah8NprLjh/vgQ//JBptZ0lS+Q4dkyMY8dMInDypBjffivBTz855ujX6SjMnCnHL7+YBrY+fVgkJtZALrd9bC5eFOHOO5XG8Fl7YVlg+3YxBg1yMTYeM+fq1dYdtOEsunXj7i9eXEaPZkAI8PHHpntm2TItFi40Of6//FJjLJL54IMGeHlx9/yff3LnbeFCS19LTQ2wbBn3/tdf57qqOgrLsk4rXFlby13vvM+FpulmhyUnJCTA1dUVMpkM8+bNwx9//IFevXqhoKAAAODnZxmI4ufnZ3ytKbSawpWA/SsXg8GApKQklJWVYdCgQfBuoINPfdssKzM1CCou5gShMXHRaoH4eOsBQqnkLqy9e0sBdLL+YB1KSkz///hjA/bssYw+mz2bwZYtNPLzKYSGsnjtNQbt2plupMuXdWAY68TJ5tKnD4vhwwmGD2fRr58Wly+fRbdud6C0lAYh3GBHUVxbW6mUy4ZOTKSQkMD1heFbQzuT776T4rvvpEhPr0FaWg26djU5OEeNCsSRIyoMHqzF8uUy7NzZCdnZZfjkk1NYtGiUxXY2bOAKf0ZHqzBsGHeTpqSIsGSJDDt31uLhh+0vbc6yFObMkUOn0+DJJ7nJUFAQQXJyDcaPlyM93VoI0tNp3HmnEr/+qsbgwY0HFVy+TGPxYrkxrLZLFxaDBjE4d05kUVzyv8CwYdwxPnGCG65Gjzbg4kXLY9C3r+U93qMHgxdflEMkIliyhIvuW79eCkIoTJxosEq+XLtWivx8Gl26sMbIPEdxZlVklUoFsVjslI6WPN27d0dsbCwqKirw+++/Y+bMmThx4oTx9bqTfUIaboXdGK1OXBpbufAhfDKZDJGRkY0e/PrEhe+fwecMyOWkwS5zANdcq25i5H33MdBqtYiLi8Ply8ENbwBcd0bziLAJE1i8/npHi/e88ooBw4ZxK5K1axmL6LPnn+eiyubMcc6pa9+e4KmnGMyaxaKqiutN8/33Ily96oLKyrsa/KxEQhAcTBARQbBsmQFKJXD1KoU9ewiSkpybuBkS4orDh1XIyMjF1KkyxMW1AwDceacLNm9WY8sWNebMkePcOW9otRHYty8XkydbHtft2yWoqjLg8uVqDBzIhXgWFXHRWHv31jbY9tgcmuaqBb/wggI6ncZoQvHxAfbty8f06S6IjbUOAS4poTF5shKbNtnubglw1XuXL5diyxYJCKHg4kIwahSD3FwKv/9+65NhbwURESxSU2lkZdEQi7kil++/b3nfT5tmOnfPPqvDqlXc69OnGxAaSlBQQBkz+195xVI8MjMprF/P3W8rV2ptttqwB2eaxWpqauDi4tKswb0uUqkUXbt2BQAMHjwYFy5cwOeff44lS5YA4NqPdOhgioQtKiqyWs04QqszizW0csnNzcW5c+fg7++PIUOG2KXqja1c+OTJjh1Jo2GHsbHWbwgLU+Ps2bOQSqXIz7cOUa7LvHmmfRk7lsXevZanYOpUBseO0aipoRAWxmL0aNYin+XDDw1IS6OMPVOaiq8vwbff6nHhgg5yOTBhggQjRkjx4Ydc87DKSj5EmsWQISyGD+cew4axxhWeXk/h2jUamzeLMG+eBE89JcH27Sz69UvHF1/k47nnGLi4OM+MdtddLti0yRUffnge779vyjWZOVOB9HQa+/fXwseHRUyMGK+95o9z51Tw8bGcoe7bp8DcuWrs2RNrfE6joXD//QocPFh/HTFzWJaCTMb9rldekWPDBtOgr1AQrFoVY8ypqItaTWH6dAV+/NFSKPR6YMMGCQYOdMHmzdwMe/hwA8LDGRw8KLbZivm/QseOwI8/coP/mDFckvO335rMwatWWfrO7r/fgH/+EUMsJsak1FWrpNDpKAwbZp27snSpDFothdGjDZg8uel5ds40i/Hi0pIQQqDVahEcHAx/f38cPnzY+JpOp8OJEycQGdmM1IbmRhw0F/NIrMTERHLhwgWrCC2VSkUuXrxI9u3bR7Kzsx2KJKuv2vKDD3JRIUOHclE4d9xRfyVk/jFvnnWV18WLL5KrV6+Sqip1vVV8zR/r1pmimrZs0ZFOnSw/c/y4lvTvz+3T6tV68s47puizHTt0RK12PMrJ/EHTLHn+eQNJStKQhQv1xMXF9P2uriyZOtVAvvlGRy5cqCUrV54kS5dqyJgxTYtUGjKEIevW1ZBnn00k/v7Oq8Dcr18xqaioIrt2WUZqPfmklpw/X0MCArj97dyZIefO1diszjtkSBXZvv0kkUoto/sOHaqxez9cXU2/aflyLrooMzOTHDp0iFRUVJF58xqO4lu0iKuqvGePivToYdrHkBCGREbq7bqebvdHt25lJCenyhjZ+fvvKvL++5b3gHnof1AQQ8aM4c7prFlaY4QYH+Z88KBltN/+/dw1RNMsOXu2plkRXn///TfJzMx0SrTYrl27SFhYGGFZ1inj7JtvvklOnjxJMjIySHx8PHnrrbcITdPk0KFDhBAuFNnDw4Ps2rWLJCQkkOnTp7ftUGRCCNFqTaXgk5OTrXJSSktLyT///EOOHz9OysvLHQ5TrqioILt37zbmvfAPfsDs25f7d/r0xnNchg+3HmSPHSsiGo2GXLhgXziwn5/pRjh1yvoz/HMyGWuV06JWa8iqVY7naPAPb2+WHD6sJXv26CwG+379GLJ1K5dDc8cdzg959fWtIStW6MmyZXrSrp1zBkyJhCWlpVUkKspSDMaN05P4+GpjzoefH0POnKkhgwdbC8zYsXqSkFBM3NxMr4lEDNm4McHu/eDzLgBC3n5bQzIyMsihQ4dIVVUVqaysIm+/bf9kwNOTJQMGGP7TYcd1HytXRpHVq7lQ8m7dDCQnxzLceMkSy+PL56lIJCxJTKwm5eWm8OLHHtPVCfetIuHh3GvPPmud8+LoY//+/SQ7O9sp4vK///2P9O/f32nj7DPPPEM6d+5MpFIpad++PRk/frxRWAghhGVZ8t577xF/f38ik8nIHXfcQRISEpr1nWjuTjcXc3Gpm5OSmZlJ/vrrLxIbG0tqa2ublFxp3n/F/PnwcO4G5nu5LFqkb3A7KpXGYpbPP6qquNe/+67xJMZXXjEJQ+fOLPnsM8vPzJljILNmcRf79OkG8sMPptc//ljfrFVLaChDLl3SkjlzTANpjx4M2bNHR3bsuDkJmEFBLPnqKx156SW903rJ5OdXkdjYaovnhg41kJQUU46Dnx9DoqNryMiR1sI8YYKepKVVW6xClEoD2bAh2u59aN/eJAYvvFBO/v77kMVA8fHHjfeYCQhgSMeOgqjUfezZ8xcJDuaOy9q1avLuu/XfAx07MmTECO4c82Lx+efcsXd3Z0lqqmVeC/+ap6dlj5imPv766y+Sl5fnFHH5+uuvyciRI2/18NwsWlXYiXnvleTkZCQmJiI8PBw9evRosqOMt4HW9bvU9bl06kQa3E5aGgWVytrnwkc/x8Q0vn9mlf4xbx6DU6csPzN+PItff+Wemz2bweLFJl/LU08x2L+/acegTx8Wf/+tx5tvivHdd9zxWLDAgO3bDZgyRYLHHrs5juIbNyi88IIE587R+Pprg812tI7SoYMbPDwIrl0zlcU/f16Exx9XYM8eNXr3ZlBYSOOBBxRYt06LESMsbeqHDomxcKEM8fEqox+ltlaE5csH48iRcrv2obiYRkAA59v56itP/PhjGIjZ5TR3rh7ff99wyHNeHv2fiwJrjIceysK5c+2QkUHDzc2AiIgifPCByc/6yCOWfq233tLizBkxpFKCRYt0KC01hRe/9ZYWfn6mk1JRASxfzt28b7yhNea6NQdn57m05YrIQCuoLWbu1BeLxdDpdIiOjkZ5eTkiIyObFa3Ab5+iKCtxqRst1qmBCGJCCA4csI737tvX5CyOiWk8qqOszPT/QYNYHDxoefgNBqC2lkLXrizCw4lRAIcOZeHhATz4oOMi0L49wdatBsyZw7VbVigI9uzRw9UVGDDg1iRfnj9PY84cCcaNY/DuuxqIxc27sYOD3SCREGRmVhufu3hRhEcf5QSmRw8GeXmcwHz5pQaDBlleC3/9JcGSJTIkJ5vyYAoKaLz8sjv++af+BElz8vJoY6+QX37pgpUrLY9tr16O1TQTAN55h8bWrb0BANOmFePLLy2jvH791XQ/PP20zigkixbp0LEjwfLlMpSXU+jdm8GcOZZCtGaNDKWlXK+b555rQre3OvCNDtuSQ7+lueXiYk51dTVUKhXc3d0xbNgwKJX25x7Uh61S/rW1MPZt5wuR1pfjotPpcPHiRaSnW2dzT5jADRgMYzv/pS5RUabDLZdzQsLTt68Kly5xf99xB8Evv5jeu3atATduNLp5KyQSgu3b9XjnHRGOHqXh6krw5596vPmmCKtW3foo9DVrpNi1S4Ivv9RYdAhsCsHBbqAoICPDtIK5eFGE55+XY+9eNcLCGGRn03jwQSW2bFFbNI0CgJ07JfjkEymuXjV9PilJhBUrZNi/374osrQ0Gt27c+9dvVqGjz+WIiuLwnPPyTFyZPOv5f8S48cbsGuXEtnZrvDxYfHCC+74+eeuxtcDAy1XglVVahQX0+jencErr+hw6RKNTZs48fn0Uy3Mu22cP08b+7WsWqU1FsFsDnxxXGfmubTlcvtAKxEXlmWRkpKC9PR0iMViYwtiZ1E3xJlftQAwmrpsiQtfWkYsFiMgoIvV6/36cZ9JS6MshML2PhCcOGE63HUz/R96qATnznGvDxvG4q23THfD4MEETz7p+PFYtoxBbCyNv/4SQSbjesDce6/ErioCN4ukJBHmzVPgtdd0uP/+5s0gO3d2g0hEcP26SSAOHxZj1Sop9u5Vo3NnFunpXF7L/v21Fq15AS7R8tdfJYiNNX3+2DExduwQW5SPaYiUFCW6d+eWqB98IEN4uCt++YXLWRGJCKTS5ptf/gusWaPBunWeAIClS3V44QW5xevZ2Qrj/597rgC//+4BAJg/PxZZWdfx8stiEELhscf0iIw03fsqFTBnjgIMQ+Hhh/W46y7nlNDhxxdnmcXaeotjoBWIC9+CuLi4GP369QMhzr/56q5ceHMTj1RK0K6d6W9CCLKzs3H+/Hl07twZ/fv3B8NYH6pu3bh9LS5ufB/GjDH9rtGjWZw+bbm9gAC1sc1y374E1dXc/3v3ZlFcXIzoaMdWGl27shg5ksWbb3KitHq1Ae+8I4ZW2zrLsL/4ohwdO5J6e6XYS1CQG1xdCVJTTQLx449S/PyzBLt21cLbm8XlyyLMny/HhQvWJq+lS2U4d05kUS9syxYpEhJE+OEH+0rFpKTYzsZlGAo6Xes8/q2JJ57QY8MGKaqqRAgNrYGXF8GFC/VPro4e9QUAPP20Bvfc445ffnFHfLwMSqUe06fHICcnx1hO5Z13ZEhPp9GxI1tv24SmwDCM0UriDARxcQIpKSnGFsRubm5gGMbpAlM3kdJ85QIAHToA/DXBMAwSExORmpqKgQMHIjg4GBRFWbVTBTjTFgCrzoC2MC/5MWIEa5WQqdFQ0GgoeHkRmLfdnjatEKdOOd5XYc0aBq+9JoZeT2HKFAZVVRTOnLnlp7tBvv5aimvXaKxfr4FE0vRrwM/PDe3aEVy+bBKYDz6QISlJhJ071VAqCY4cEeP992VISKix+vy8eQrU1FD44w/TamX5chkkEm5GLdCyPPecDj/9xNmqnnkmE089ZVql1E2KffJJHa5fp9GhA4vly/WoqemADRu4ShlLltQiJESJoqIiREdH44svUrFxI+cL+/JLFby8nLfPzkygBNDmG4UBrUBc+vTpY2xBzLchdlarYx6RSGTRMIxvkSoSkX//5Z6vra1FdHQ0VCoVIiMj4eNjKuFhqyoNr4H2zEbNK7D27UuMnQR5rl/nnJFDh7K4csW0vQ4dMlBaGtHo9s0JD68EywIXL9JQKglWrGCwdOmt97HYw19/SfC//0mwYYOm3kKQ9hARoURoKMHRo6YVyFNPKSCRAJs2qUHTBFu3SvDnn2IcP269gnnkEQXCwlisX28Sk5kzFRg4kMGiRc1bXQnUz+efa/Dqq3KwLIW7767C8eO+Fq+XlprumzvuMGD7dk6EPvlEC4WCawqnUlEYNcqAl16i0blzZwwcOBC9et2Bzz/vCwCYOjULNH3M2G64urq62RNaZ0aKAUK0mFMQi8XGiLH6woabS92aZXzUVmgod0FVVADFxcU4e/YsPD09MXToUMjlljZeWysX/nrU2jHW1NSYBCMkxPJC9vRkcOUKdyENG0bw+++m16dPD8fnnzvm2Js0KQ/Ll3PHcv58BuHhbask//nzIqxfL8WPP2rg5ta0m/7qVRFeflmGwYNZbN9uMmfdcYcLwsNZrFrFnbR33pGhsJDCL79Y+lQqKrgyLQ8+qMfChaYTfOedLpg5U48pU5ofYSRgTUEBhUuXRPDwILjrriocPuxb73tVKgoGA4V779XjvvsMWLlSipgYETw9Cb77TmOcNBICLFrkguJiMbp3Z/Dtt97GdsNVVVW4fPkyTp8+jaSkJOTn50Nrzw1dB2cWrQS4aDHBoe9EaJq2GTbcXOquXPiBvuO/dQ0rKoCYmFj07NkTvXr1sjkDsSUuPPZci+a9vWvr+Ib79dOgtJSbgfn4VOGff0xioFBIrfqEN4SbGws3Ny3i42m4uRFMnNg2Q2Dj40VYvVqK779XN7nM/6ZNUuzZI8bkyQZjjSkA6NnTFc88o8fTT+tACIVnn1UgOJhg2TLLE5mQIMLcuXK8954OEyeaJifh4a4oKGhVt45TmTOn/jbOLcnWrWqsWcNd+++/r8WiRfXnBzzxhN4oQp98osXJkyJ89hn32fXrNRYBOjt2iLFnjwRiMcH332ugUJjaDfft2xejRo1CeHg45HI5cnJycObMGZw/fx5paWkoKyurt026Oc42i9XW1gri4mwc6eliL3V9Lt7e3IVnMHAXDctSCA+PQIB5lmMdDAZr0xe/crHH51JZafp/dbXla/37a1FdzV2YpaVpxudDQ1nYcV1bcN99apw7x0UnPPggi8mT224l3bg4ET79VIbvv296LsyTTypw/TqFd97RISLCdF3NmKHAJ59oMWqUATU1FB5/XI7Zs3W4+27La2/vXglWrpRiyxZLZ3509O1bSPK776Tw9iYICrp5E5P587k8FYahMG2aHrt21W/GnTRJj61bueuaN5/OmSMHIRRmztRhyhTTOczOpvD665wV4q23dOjf3/o30TQNT09PhIaGYsiQIRg5ciQ6d+4MnU6HK1eu4NSpU4iLi0N2djZqa2ttmtCcbRYTHPpOoG5l5KZ0o2yMutvkNSQvrxYSCXex6fUNzxJsrVxYlrvIdHa0fygvN/3OqirL3xwQYEBVFXcq+vfvZnx++HBiseKxh8hIHU6d4kwJkyaxrTY6zF4uXBDhl1/E+Prrps+kBwxwhVYL7NljEojDh8X4+WcJNm3SICCARWqqCAsWyPHjj2pjpj7Pxx/L4Ovbtp2rjvLMMwrcuHHzhgedjssT6tCBRb9+LE6erF9czp7lXps7V4d77zXgpZfkxiTWjz4yrT5ZFpg3T46qKgpDhzJWDcLqQyqVws/PD7169cKIESMwaNAgeHl5oaSkBOfPn8fZs2dx9epVFBcXGyfCzjSLEUIEh35LcDNWLhTFZdtXVCjh5cUNvnyJ+fqwLS6cMNkzgJu3ua2qsnytsLAQNTXcTEwuNyXb9exJUFzsmDiIRDQqK7mZpz1VA9oCe/dKEB8vMjZ9agqjRikhl8MiOuyll+QoLaWwebMaYjHBH39IsGWLpMG2xQLOZ/16DX74gTNpLVigw3vv1d9Ko39/BuXlFAYMYLBihRZbtkjw558SSCQEGzeqYT7Z37BBglOnxHBxIfj2W7VFIqW9UBQFV1dXBAUFYcCAARg1ahS6d+8OmqZx/fp1nDp1CpcuXUJxcbExS98ZCGaxFqAlVy58mHFVVQoAoKxMZLwYG1sh2BIXhuHExR6zmPk1x+ew8MhkSqhUnLi4u5ue9/IiyM1tfNs8HToQlJdzp3T4cLZVZOE7i/XrpejRg8X99zetS2BKigibNknQuTPBtm2mFczQoS7o14/FypUmBz/fVOq/hDP77jjCm29q8fbbnJjMnKnDW2/J633v4MEMYmNFcHcn+OknNW7coLBkCffZd9/VYcAAk8nr/HnaWA5m1SqtMXinuYhEIvj4+KBbt24YPnw4IiIi4O/vD41Gg6qqKpw+fRqJiYnIy8trUmAAj2AWawFaSly0Wi2io6NRXV2Ne+4ZDJGIgBDKaNKqqGh4lm9rMWVauTS+D+bZ4HVDbKXSdmBZ7vvNxcXbG0hMtP8U9epFcPUqJyi9e99+meAvvijHggVqBARY56bYw0svyVFQQOHeew0WzbzmzZNj5kzub4ah8Omnzm0f3RawVZS1pendm8Fvv4lRVUUhMtLQYOCKhwfBxYuc2Wn9eg18fQlmzlSgtpZr8vXSS6ZJR0EBhSeeUECnozBlit54blsCuVyOjh07on379vDz80Pfvn2hVCqRl5eHqKgoREdHIzU1FWVlZXaPawzDCCsXZ2CrG6WzzWIajQZFRUXw8PDAsGHD4OKiAF8PkxeGxlYuCoX1c/zKRV7/ZMuIeZm0mpr0OvtnOg3mjmt3d4KsrMa3zePjQ5CcfPuKi0pFYdEiF7zyyqUml1Hp1s0VhABffWVabu7aJYGfX9u2b7dFOnUiSE0VoWNHFsOHMzhzpv6VNn9fzJ7NOeznzpUjMVEEX18W336rMSZB63RcEEdBAY2ePRl8/bWm0Q6zzoBlWYjFYnh4eCAkJASDBw/GyJEjERwcDIPBgOTkZJw6dQqxsbHIzs6GSqWq14SmUnFmWcHn4mScuXIhhCAtLQ25ublwdXVF7969jREd/v7cieULVza2crG1rNbpOHHp3Lnxgc5cXORyy5mUp6fp/+aladRqymIl0xjt2hGUlND/7pv9n2tLxMWJcfGiH5Yuta/Wly3WrZMiIYHGkCHOXSEL2M/zz+vw999iyGQEM2fqsXZt/avF3r0ZlJbS6NuXwcqVWnz0kRR790oglRL8/LMaAQGm+2/xYhmio7lcl23b1LhZk39b0WISiQS+vr7o2bMnIiMjMWTIEHh7e6O0tBQXLlxAVFQUkpOTUVRUBL2Z3Z0vVSOsXJyMs8RFr9fj8uXLyM3NRWhoKCR1Sp926FBXXBreXteu1gKSlcUJQZcujYuLwWAaDDt2DLN4TSSi4OrKqUFhoUlcSktN+2kPXl6m/jS3izPfFjt3dsOoUQYMHdq06+S992QYP96lwXpVAi3HkiVafP0158CfM0ePlSvrF5bwcDWSkkTw9maxZYsaBw+K8dFH3PvXrdNg2DCTn2XTJgl+/FEKiuKc+87ys9hDY9FiFEXBxcUFQUFB6N+/P0aNGoUePXpALBYjIyMDp0+fxsWLF7F+/XqcOHECMpnMasxqCqtWrcKQIUPg5uYGX19fTJ06FSkpKRbvIYRg2bJlCAgIgEKhwJgxY5CU5HjJqbrccnFpCbNYVVUVoqKiAACRkZFwdXW1Eix/f+5f3tdhnodiC1sX6rVr3MVkj7hkZZkaT9XUWB727Gwx3N05cVGZBSoVFlLo0KHRTRthGFMrgZqmuSXaBCxLY8ECgrfeui5UGW5jPPusDuvWccIybZoe69fXXz0iOFiFhAQFpFKC7ds1qKmhMG8eZ4N+4QUdnnjCNE5ER9N47TVOdJYu1Tmt2rG9OJpEyQcGhIWFYdiwYYiMjERAQADOnj2L1157DSzL4tFHH8UPP/yA7OzsJu/XiRMn8MILL+DcuXM4fPgwDAYDJkyYYDS9AcCaNWuwdu1afPnll7hw4QL8/f1x1113obpuQp6D3HJxqUtzVy65ubmIjo5Gp06dMHDgQEgkEpvb5M1iPOZ5KLawtXK5epW7mNq1azzaRiYzNT2re87OnxfDw4Nz/phfn3FxFHx97R88KyspY9Ll7T7oxsd7IiaG4L770hp/s0CrYOxYA377TQKtlsLYsQbs2tXwzDwjg4uW+uorDbp2ZTF9OufAHzfOgA8+MEXR5OdTePJJxb9FWvV49dWbbxNubhKlTCZDQEAAtm3bhm3btqFdu3YIDw/Hpk2bEBwcjCNHjjRpuwcPHsSsWbPQu3dv9OvXDz/99BNu3LiBS5cuAeBWLevWrcPbb7+NadOmoU+fPti8eTNqa2uxbdu2Jv8eoJWIS91ulE1ZubAsi6SkJFy9ehUDBgxAaGiocbt1S+4D1uLS2MrF3Z0LDTbn8GH5v/sPBAc3PJhnZ5tupIICSyGLjjatXMwrNl+4QFv4YxqjspLrPMn//3Zny5YwfPqpL3x9nRsAIuB8vLwIkpNpVFZSGDaMQUZGw0MP78B/8cVSPPCAAU88IUd2Npco+dNPppwVrfbWOPDr4swkSq1WC3d3dyxduhSnT59GaWkpRo0a5ZRtV/47MHh7c20hMjIyUFBQgAkTJhjfI5PJMHr0aKP1p6m0CnExpykrF7VajejoaFRWViIyMhLtzJuzwLpZGAArc1NGRuNXZPfulgJSW0sbVwqNmcbi4iwbhQUFWb7f3Z2biZn7XG7coCyclY1RUkIZo+Dc3W9/Z3VGBo1p01xQVHT75PPcrvj4EKMAEAJkZtY/9Li7ExgMFMaNK8DLL1fg1VdlOHtWDA8Pgl9+qbUolb94sQznz998B35dnFlbrG6Oi4eHB2Sy5ofHE0Lw6quvYuTIkejTpw8AoKCASyiv207ez8/P+FpTaZXi4sjKpaSkBFFRUXBzc8OwYcOgsBEz3NDKhe8bcuUKhfJyq49aYNupz/1rj9+F58ABEYYMsaxx5OHBrVzi4iiL3i+O3CxJSZRZAEDT7bRticuXBWFp7QwYwCAtjUanTizatyc4f77+QTgwkEVVFbe6WbQoGd9/74UtW6Sgac5JHxZmus82bpTgp59ujQO/Ls6sLdZSFZFffPFFxMfHY/v27Vav1fV9E0KsnnOUViEudc1i9qxcCCG4fv06YmJi0L17d/Tp06femQO/GjKPK+cHYUK4EviEUIiObvhw2Lp4r17lPhMY2Pg+m/dtHzLEcltubpy4nDtHY+pU0/scyXPJzaXg6cmFv2Vn2+6G6AyGDmVB07e3T0fAOXTtWo6YGBE8PAwICdE2WDMsLIxBdjaNLl24NgmHD/thzRruOv7wQy0mTDDdY/v2iW+pA78uzjSL1dbWQmmeu+AEFixYgD///BPHjh1Dp06matP+/0Y21V2lFBUVWa1mHKVViIs59pjF9Ho9YmK49qVDhw61OFj1bROAhbj4+QEKBbf89vHhno+Kctypf+UKhZqaGmg0yQ1+FgDuuMP0efOS4AAglQIyGUFJCWXh2zl/nsbkyfbfOBUVBf/ul6fdn3GUkBCCsjIdRo5sm+X8bSES3T6/pbXQvz+DtDQveHoy6Nu3GidP2shE/peQEK54qI8Pi99+UyMqSoTPP+8JAHjlFS1eeMGUB3LunAhPP801FHvqKd0tceDXxdlmMWetXAghePHFF7Fr1y4cPXoUwcHBFq8HBwfD398fhw8fNj6n0+lw4sQJREZGNuu7W6W4NGQWq66uxtmzZ8GyLCIiIuDh4WHXNgHLJmRiMTBihGWuS1SU4yuXP/4w4Ny5c4iIaDxN3zyXpm6r5X37uqBfP+vf/dNPIjz5pP0Dn7t7B9A0QW6uCKGhLTNg7tpFIyGBwqFDenz++e3RNIthWt2tYIV5CaHWTr9+XB0wLy+up9CpU/X3FPb31yE9nYa7O8Hu3WoUFFB45hlOPB57TIVly0zikZxM45FHFNBoKNxzjwHr1mlviQO/Lq3VLPbCCy9g69at2LZtG9zc3FBQUICCggKo/x30KIrCwoULsXLlSvzxxx9ITEzErFmzoFQqMWPGjGZ9d6u4o+w1i+Xl5eHcuXMICAjAoEGDIJXa12Gxvg6X48dzgy8vLhcvUg1mtnftSkBRljf4xYty9OnTB3fcEYxevRoezA8eNB3uzZtFFr0lcnJcMWAA9+UxMab3HTtGY+xY+0Xi5EkF/t/eeYdFcXZt/J4t9N6LIEpT6WBXFBN7A01MTDGaRH39TDM9b6op9sTkNVGTmKKmaRS7xhIVe6UjAtJE6tJh2T4z3x+TGVh6WWAh87sursRtMzu7+9zP85xz7jNkSBUAICysewYjlYrA5MlivPyyCDk5Chgb9w+B0XfacpHQFwIDSSQmMsIyY4YGe/a0nHJsaUmiuNgARkYafPDBFaSn38NjjxlCpSIwdmwRNmyo5sSjoIDA/PnGqKpiLPQbZo31NrpcueiyxfH27dtRXV2NiIgIODs7c3979+7lHvPWW29h1apVWLlyJYYPH46CggKcPn26y/YzeiEuDWkuPkJRFFJTU3H37l0EBwfDy8urQ8EmgiCaDeqz4lJcTMDSkoZCQbRa2W5hwbQhbno7s285bVrrIiCT1b92fLygSdxFKKzfnnvppfpVTEfMVbOyBPDwkP7z/903GCmVBH74QYivvjKHXP7vcxHmaR5/fxJJSUxF/bhxmlYdps3NaVRXC2FoSOPPP5UYOdIbb77pD5lMiICAUqxadRtFRQ9QXl6O8nIK8+cbo6BAAF9fEnv3yqDjsESnYa32uytbrCvQNN3s35IlS7jHEASB1atXo6ioCAqFAhcuXOCyybqC3omLSCQCTdOc47BCocDNmzdRVVWFMWPGwN7evlOv21wsx9+fhr09jbo6gitebGtrbMoUeZPbzpxhnjN1atsrjKCg+seYmDQt5BQKaaSmChAeXn/f7t1CvPVW+zPoKEoAoZBGbKygQ6nM/YHGjtM8PYeHB4WUFCHs7CgMG0bh2LGWhcXZmUJtLQGRiMbu3UwW2NNP26OyUoSQEBJHj4pgYECBoigkJmZg1iwN7t4VwsFBjd9+q4CtbQ++sTZgxxVdbYvpMubSm+iFuDRchTTcwiovL8fVq1dhamqKUaNGdSmDojlxEQjAbTmxfe2vXWt5tl9cXAwnp1tNbt+/n7mM48bRMDNrfXArL69//camqH/8Ycqtfm7erH/c+++LsGpV+4P6V644YMwYZrnTsMdFfyc0VM7Z3/D0HC4uFOztKeTmCjBwIIVBg2hcvtzyftWgQRSKigQQCJie9sOHU5g3z5grkoyOlsPaWvjPY72xY8ckpKbawtycxPr1iSgouIZr164hIyMDZWVlOm/R0VHYibA+BvR7E70Ql4aw6p+Tk4O4uDh4e3sjICCgyx9cS1lo7NYYOyhduyZoMujTNI2MjAwkJydj5sxBGDxY+wH79gmhUjEZX23FR/Lz6we/LVtEePxx7XOKiGBe+48/hHjmmfr7Grolt0VtrRh2dsxKp2Gcp78TF6edjbRgQeedk3nax7hxGtTUECgtFcDfn4SVFd2qIairK8VV52/ZokR4OIlZs4yRliaEiwuFQ4dksLOj/9lqAt5+2wzHj4u5rbNHH/VFeHg4vL29ud9le63suws2mN/VuhCW/tAoDNBDcSFJEgRBoLCwECNHjoSbm5tOXrclcXnoIW0xKC0lkJlZ/yVh3ZWLi4sxZswYODs7Yfbspq8TE8M8pz1bYxMm1D8mIkL78Q8esB0oCYwdW3/f++/T+L//03YzbY1bt4wwYQIFkiQwfXr/r9Zn2bJFhunTmZjTvn16sinfT1mwQI2bN4WQSgmMGEFCIiGQmNiysNjYUCgoYFYs27bJMXWqBjNn1gvLsWMyzrmCJCn89ttQ7N5t9E8BpQLjxjHfY5FIBDs7O/j6+mLMmDEYMWIEbG1tOSv7a9euIT09XavHfXeiy0wxgBGXvt7LBdATcWEVv7a2lvOz8ff3b1eacXtpSVzc3AAfH+0B/sqV+vO5du0aAGDMmDHcUnXWrKYC8ssvzI+qraA+AM4yBmDcXNlAPgB8/bUI8+YxD4iJqf94Dh0yxDPPtD+fv6CAscsAgJMn/x3W8lZWNJ5/HggM/Pd1kuxp5s1TY98+MdRqAuPHa3DrlhASScvDibk5jYoKAUQiRigeeojEjBkmyMgQYsAACidOyLg6MpoG1q41wv79PgCAL75QYu7c5kWCtbJ3c3PjrOx9fX1BEAQyMzNx6dIlxMfHIy8vD1KptFtWNbrMFAP4lYvOKSoqwvXr1+Hs7AxjY2OdLTFZWivOfPhh7S/ctWsCFBcXc+fDuiuzjB3b9Au6b58QJAm4uwNDh7YuMJcv11/2nTuFWL5c+/FsoP/wYQHWry/ibj9zZiheeaX9M7GzZwWYNo15z97e/Tf28uyzzDWpqiJw4YIAGzfqZ/bawIFUv3CrDg/X4OBB5hrPmaNuNb4CALa2TPCebe41ahQjLFlZAri7M8LCbjXTNLBmjQE2b2ZWnevWKfD88+1PdW/Y437MmDEYNWoU7O3tUVlZidu3b2s16NLVqkaXKxeapvmViy6RSCS4c+cOgoKC4O3t3W4LmI7QurhoD7x//UUhMfEOAgMD4e3t3UToxGIgKqoOjbl8mXlcZGTbA3l4eP1jGg8433wjQnAwBbmcwM2b9e14P/xQhHffbf91kckIyGQEHB1p3LsnQGho3xIYVhjbYsAACsbGzDWcObMdPad7ifv3BQgJ6bsOzubmNHx9SVy6xHSQfPZZFY4ebV3I3d0plJcLYGJCY98+OYYNozBzpglychiblxMnZJwvH7NiMcDGjczK8/nnU7Qq8zuDiYkJBgwYgKCgIISHh2Po0KEQiUTIzs7GpUuXEBcXh9zcXNTW1nZ6VaNL6xdAt3UuvYleiIuDgwPGjx8PBwcHALptdczS2mtOmEBpbU1JJGLU1Ixv1Vtn6lRFk9u2b2e+YMuXk5whZktculR/6bdsEcLfX7u719Ch+QCAEyc88O679QPSl18K8eST7b82ly4JEBTEnEtcnICzutFXnnhCw2XcsYLRFgRR34Gzp2hrddoSN27o56qqLebNU0MsppGeLoSjI4WnnlLj559bL2L29KSQlyeAuTmNgwfl8PBghCU3V4DBgxlhaegOvnatATZsYIRl9eoazJvXAWO9diAUCmFjYwNvb2+MHj0ao0ePhqOjI2pqahAXF4crV64gNTUVJSUlWm2H26I7tsX4bDEdQRAEjIzqZ5y66EbZmNbExcICCA1ljmduznypfv219ZnDQw+pIRBoDzCHDglBUYCLC/DYY20PPmwNCk0TmDBBuwHLgQMDMGYMCYWC0LLhX79ehC++6Ni1OX+e4FYBMj1PoPL2piCVErCzo5GX1z7B+PTTnh+wG/cD6s8sXKjGoUMiVFQwGWFeXhR++ql1YXF2ppCVJYC1NY2jR2WwtqYxc6YJl2584oQMAwY0Lyxr1yqwdGmtzrfGG2NsbAxXV1cEBgYiPDwcw4YNg4GBAXJzc3H58mXExsYiJycHNTU1ra5qdLktRpIkFAoFLy7dRXesXJqr0GcpLi6Gl1cOAMDFhZmBnD4tQE5Oy69nbS3A6NGSJrcfOsRc0pdfbvv8GxqR7ttnj5CQeoFRKgWYNYv5Qu/aJcDWrfUzqWeeEWPfvvbPrNRqAikpAgQGMltt+upRZWbGFJACTMvmuLj2zQZpuudrW65f7/FD9gpjxjD2LTRNYNYsNVJShLhypfUYi6UljaIiZtvr77/roFIRmDrVhKuuP3FCplXcu26dAdavZ4RlzRoFXnxRDYqidJqB1RYCgQA2Njbw8vLCqFGj/skMdYZUKkV8fDwuX76M1NRUFBcXQ9XII0qX22LSf/qT8zGXbqKnVi40TSM9PR0pKSlYtoz5MDMyCAwcyFjw//RTy18YgUCA+fObtth98kkxKAoICqKbpBk3hqIILpBZWmqAsLA8rfvff1+ESZMoaDRMoJoN9J85I4C9PQ1Dw/aLREEBgaoqAkOGUKiqYlYG+sa6dSrs388MXG21ne5t5PL+nYH37LMqODlRuHZNBBMTGitWqHD8eNsrRENDGtXVBMLCSJw9K0N6uhBz59b7gZ08KdNa9a1bZ4B16+qF5aWXmElTT4tLY4yMjODi4oKAgACEh4fD398fhoaGyMvLw+XLl3H79m1kZ2ejurpap+LC9rbnVy46ovHytydiLiqVCrdv34ZEIsHo0aMxdqwNZswgQdME5+W1a5ewRSNLoVAIb+8KTJzYVECOH2cu6yuvtP0eGjYo++GHAMyY0bSpGUHQ+PNPIT75pP6+iAgD3L3bMavxvDwCFMXshZeVETA11R+BWbBAg7ffbp8RaW/g5UXh4Yf/HfVCS5aosHOnGMXFAgwZQuKpp9T49tvWPxu2TYRSyaxwjh+X4cgREZ5+2ohzMD5yRMbZttA08Mkn9cLy2Wf1wgL0vrg0RCAQwNraGp6enhg5ciTGjRsHV1dXyGQyJCYmIjc3F9XV1SgqKmqyqukodXV1MDIy0mkMp7fQj08PTS1gukNcWJsGtn5FKBRq1a+wYlBezszAJBICR440f4kEAgFomsabbzZdYT3/vAg0zdS8NK6haUxlJQFPz/rMs0GDtAf8P/4Q4oknmNfYuFGIpUvrr8v//Z8IP/3UsWyajAwBFAoCvr4U6uoICAQ0DAx6P4ts3z6RlrFnV3B11f37mTyZRFVV/3Z/njdPjYAAEjt3GoCmCcyZo4ZGQ2DHjtaFJSCA5Faa//mPCr/+qsCXXxrg1VcZ2/wlS1T47Tc5ZzRJksCqVYb4/HNGWD79VIGXX9a+tjRN6424NMbQ0BDOzs7w9/fH+PHjYW9vD7FYjPz8fFy+fBm3bt1CVlYWqqqquDGnvUilUpiamnZ7vKkn0MtPr7u2xTQaDVdP4+rqipCQEIgaeHZPnEgjKIiCWk2APfyOHc3PINgv/sSJ6iYpvjU1BE6dEkAgAF56qW2RzMqqTx7Ytk2ERx/Vfs6tWwT8/ChIJARKS+tvP3VKCBMTYO7cjglxQQGB8nIa3t5VoCgCKpUATk69LzAsXTWfXLJE9+m+Li5lKC3t/aZU3cWrrypx4oQIyclMw65Vq5Q4elSMzMzWhwhfXxLJyUIQBI21axVYt06JVasMueD8O+8o8b//KTlrfKUSWLLECD//zLQu/t//FHjllaairU8rl9YQCAQQiUSwsbHBiBEjMH78eLi5uUGhUCA5ORmXL19GSkoKCgsLoWyHvXldXZ3Ou1D2Fnr56XVXQF8qlXL1NM3Z9hNEfSCeJJn7LlwQID296SyivrslhbfeanquCxYwq5ennmL6hreFo2P9D6y2FlqpzPfuCTB3LgWRiMbhw0Js3Fg/eC5cKMbq1R2/VmVlQty/b4GQEAomJjSKi5mU0d7Ey4vChAlkl8wnv/9eiU2bdJ89ZmKSA4pifvT6GK/qLJGRWQgIqMGXXxpCqSQwebIGc+Zo8NVXbbscODlRSE8XwsyMxq+/KvDMM2o88YQxdu1ihOOrrxR4910V14+lpgZ49FFjHD4shoEBjV27FHj22eZXgxRF9ZnZe8NsMQMDAzg5OcHPzw/jx49HcHAwTE1NUVhYiCtXruDmzZvIzMxEZWVls6saNg25r7z31tAbcenObTGVSoXc3Fyo1WqMHj2aq6dpjgULqCY29T/+2PQysV8mkiQxdy4FNzft56jVBM6dI2BiAqxd2/ZMuqSkfkA8dUqIDRu0n7NunYjbHvvsM22BCQ01QFpaB5q+/INKJUB8PONk6+bGVFEDTBppT7NwoQZ+fhQuXuz8XvPjj2uwaZMYKpXuf5hTpgyBsTHzmb/3Xt/fHnN0JPHii0r89ddgJCdbwNhYg/nz7+HCBQI7d7a+DSYU0jA2ZiYkgwdTOHdOBn9/EpMnm+DUKRGMjBixee65+utUWkpg9mwTXLgggpkZjehoOSIjW/5d9JWVC9BynQtBELCwsMCgQYMwfPhwhIeHY+DAgVCpVEhJScGlS5eQnJyMgoICKBRM3ZwurV8uXryIOXPmwMXFBQRB4NChQ1r30zSN1atXw8XFBcbGxoiIiMCdO3d0cmxAj8SlIbrcFqupqeHiK0ZGRm1mYRgYAP/3f9rC9ssvQq5bJUvDBmQCAfDBB03Pd9Ys5kf69NNM46S2MDauf8xrr4nx/PNNzyMsjEJNDYGvv9YuphwyxBDp6R0XGAC4e1eIykoCAQEUrK2ZNFIAPbZVtnDhA+TlKXD4cNfaCkqlzCqvIW1tsbU3qcHFxQg2NsxjHR1prS6ifY2VKxNgZUXhm28M/0kTVuM//yFx4IA31OrWxT0khARJEpDLCUyZokFMTB0kEgIREaZISxPC2ZnCX3/JMHt2/Xf5/n0CU6aYICGB6fVy/LgMEye2PnnsS+LS3mwxsVgMR0dHDBs2DOPHj0doaCjXevjcuXMICQnBn3/+CYFA0K4ttLaoq6tDUFAQvvnmm2bv37hxIzZv3oxvvvkGt27dgpOTE6ZMmYLa2touHxvQU3HR1cqlqKgIN27cwIABA+Dj49Pu4Nrzz5NajbwqKwmuZ0vj82Rfc+FCSqsojOX0aQLV1VVYvPgaRKLWjy+XizBqVP1jLl4kOGsMFqWS2T568IBAWhqBcePqH+/ra4g7dzr3pZRKCSQnC2BoSGPIEAqWlszMFGCSG9iBVZf4+FB47z0ZLl1yxNWrXU+9PH5cpOW0AKDNLba6uvatcoyNAVdX5rWzswkcPNjUoUHfee+9KkycWIBt24KRni6GnR2Fjz6qQ2yssF3bYL6+NYiPZwbR119X4s8/5di/X4yoKGNUVhIIDSUREyNDWFj9d/LOHQGmTDFBdjbjI3bqlKxdPYb6mrh09FwJgoC5uTk8PDwQFhaG8PBwvPrqq6irq0NSUhJsbW0xd+5cbN++nVvVdJQZM2bgs88+w/z585vcR9M0vvrqK7z33nuYP38+/P39sWvXLshkMvz++++dOl5j9PLT6+rKhaIopKWlcfEVT0/PDvmV2dgAzzyj/QNYs0aExp9xw8JMAwPgjTeanvPcuQa4cCEe4eH2eOONtn9UN27UfyT37gkwerT2c1JSBBg7loadHY24OAEsLWmtbTx/fwOcOJHb5nFaorhYgLQ0pqbG25uCuzsFpZLQ6ifj5kZ1KY3Z1ZXCiy+qERBAYc0aExQU6C4FubnPoCUcHNr/HkgSCAxkPouEBAEcHIDQ0L6RmrxqlRqvv16JL74ww4ULriAIGs88o8HSpRp8/LEpysvbHgbs7Smkp1vA2JjEO+/EYsKEc1i6VIbXXjOCRkNgwQI1/vpLBmfn+mt66ZIQM2aYoLhYgGHDSJw5I4O3d/uueV8SF13Yv5ibm+OZZ55BREQE5syZg2vXrmH8+PE4fvy4VtKRrsjJyUFxcTGmTp3K3WZoaIiJEydyzvRdRW8+PV3FXFQqFWJjY1FWVoYxY8Z02q/spZc0IIj6H0JuLoHNm7W/QA1XLgCwdCmlNWtj+fPPcAwaNAhvv002aTTWFnv2CLFqlfaAuXu3EPPnUzA0pHHihBATJtQP9jRNYOZMD/z+++0OHacxRUUC3LsngERCwMeHSakePJh5bw8eCNo942cxMqIxYwaJxYs1CA6msG2bCNHRuv3RPPwwiZSU9p9XRET7vw8KBTB8OPP+L15kHLCPHOn61kV38vzzamzdqsT+/cAXX1hDoRBh1CgSX3+twu7dIqxf37aoh4aqQRA0SksZgbhwQYFly7yxYcMkREc7giBoLFqUiv/7vysoKak3gNy1S4zISKZ4ctQosonwtAVN030mqK1L+xfWETkgIABvvfUWjh071i3iUvyPPUhj/0RHR0fuvq6iN+LSEDZtuKOw8RWRSITRo0drBcZYIWiv86mnJzBnDjOYWFgwz9m4UYj7Dbz0GlvKiETAd981Pe/oaFOcOUPA2Bj43//aFwwWCOrP86uvRHjrLe3X/f57IebOZQw39+wRIjxcOyvtySeH49tvz7dpoNkWCgWBjAwBMjIEePCAwODBari51cLLSwE/PwoBARR8fSk4OTHHd3Ki4O1NYexYEpMmkZg2jcScORpMmkThyhUBdu0S4fhxESiqawOHUKgt4k5OFBYu1OD48fb/EKuq2n8OFy8KMW4cBSsrpv7p6lUBrK2Z7DR946WX5NizR4mbN4V44QVD5OeL4eBA4ssvVfD2pvHii+3rdxMSQiIujrF+eeYZBU6dqkJ5uQbh4Wa4etUIZmY09uyR44sv7OHs7ISamhrcuhWHZ58tx0svMSua+fNVOHJEBmvrjr2HvrRy0XWFfk+mIjcWcF2Kul5+eiKRCDRNd6gAqbCwkIuvBAcHN1F79sPvyOqFTUuWy5kgrkJB4J136l+38coFADw8avHMM1lNXmvOHANUVQFTptBYsKDtc6AoQiuGs3GjCE89pf28ffuEePJJpkfIyZNCDBvG1OmwrFgxCXv3qhAVpZvkCLWaQHa2GA8emCMz0wh37giQnCxAbi4BgmD60BgYMDGqGzcEOH9eiFOnhDh6VIS//hKipkY3X9pRo0h4eNRfCyMjDV56KR2vvtqxGV58fPu//j/+KIKBATBnDnPcHTuYYz35JCOi+sCHHxZg7dpk/P23DAsXGiI5WQBTUzXefrsWb71F4tVXDfDrr21fowkTSNjY0IiPF8LcnMbOnUp8840Gu3ebYM4cCxQWCuDpSeKvv6oxebICYrEYzs7OGDw4EN9+Ow0HDgwCACxalIVnnjmJtDSmWVdHWhD3JXHRpStyTzkiOzk5AUCTVYpEImnVDb4j6M2n13hbDGifEFAUhbt37yI1NRXBwcHw9PRsVnk7Iy7jxtGYPp2EWs1YwhAEjYMHhTh7lnn9xiuX0tJSXL9+HS+/LGvWkn3xYuaH/eWXGgwc2PaPLD+f4ILIAPDbb8ImfmW//MJU7ZuZ0bhwQQClUoqHH65vMDZ/viEsLGgcPdoo3U2HKJUEiooEuH9fgLw8AcrKCK5OSNc8+qgGQ4fSyMqqT93+9lsp9u4dCKm0Yz/w0tL2nyPbzZPtL3LggBB37zKieuiQEuPH947ACAQ0zp1T4M8/lTh+3AnvvhuAu3dtIRZTiIrKwiuvJGLDBnO88Ub74lpTppC4eFGIigoCISEkrlxRYOpUEosWGeG994yh0RB45BE1Ll6Uwd+feQ5JksjNpTB1qjFOnmT63f/0kxxbtzpg9OhRsLOzQ0VFBdeCOCMjA+Xl5a3+FvuSuOh6W6wnxGXQoEFwcnLCmTNnuNtUKhUuXLiAsWPH6uQYevnpsULQ1tYY6w9WXl6OMWPGwN7evsXHEgQBgiA6JC4EAWzZooGpKY2qKgIG//w+X3tNBJVKe6stJycHCQkJGDZsGPz9ffDjj03P/dQpIU6cEMDODti/X62VkdYSBQWE1tZWTIxAK6MMYKr6H3pICXNzFdLSLHDnjj2ioupNMHfvFmPOHGPcvCnn4iZ9kbVrVfD3p7BzZ/3s++efldi3zwxJSd2/lZCbSyAggMacORrQNIEXXjAASTLboceOKbFiRc/Vv6xbp0JmpgxffKHGf/5jgMceM0RsrBDGxjQef7wQn30WjwcPBmLt2uHter2RI0m4uVE4c4aptn/lFTXOnlWithYYN84Ihw+LIBbT2LxZhV271LCyEsLAwAAGBgZISjLG1KmWSEkRwcGBwuHDNZg7Vwa1Wg1DQ0O4urpyLYh9fHw4w9hLly4hMTER+fn5kDfK9e8r4kLTtM63xXTliCyVSpGQkICEhAQA4MaovLw8EASBVatWYe3atTh48CBSUlKwZMkSmJiY4Mknn9TJ8fXy0yMIos0AfHV1Na5evQqxWNwkvtLZ12wOd3dwhpFKJTPTTU8XYNs2IQQCAdRqNZKTk5Gbm4uRI0fCxcUFABAa2rzv2Pz5YlRUAAEBNH74oX3bVWq19gz7xg0BZs/Wfh9HjhjB0ZEJuhcXi3DkyABERWk3Wxo50hjTp5M4fLjvpdFeuKBAfj6B1avrZ+DR0QpcvCjsUJylK/z4I3OcTZvUsLCgceOGEB9+yKygxGLgiy/U+Ouv7ru277+vwr17cty+LUdBAYHhw43x6qsGuHePyRpctUqJzZsT8OCBAd5+Owyxse27LtOmVeDmTSEePGBs8k+dUmLNGjV27xbhoYeMkJPDpBH//bcS//mPBg03BvbvF2PmTGNIJAL4+1OIiZFjzBhCa6dAo9FApVKBpmnY2NjA19cXY8aMwYgRI2BtbQ2JRILr16/j+vXrWtXrfUVcAOhlzOX27dsICQlBSEgIAOC1115DSEgIPvzwQwDAW2+9hVWrVmHlypUYPnw4CgoKcPr0aZ2JG0F3trenjqEoSqv727lz5xAWFgZLS8smjy0sLMSdO3fg6emJQYMGtTsAdf78eYSEhMDKyqpD50aSwKRJYty8Wf9lNzOj8fvvsRCLy2BkZISQkBCthmcAk2E0cqQYGRnaPxIbGxq5uSoYGACrVwuxfn3nBsfHHyexd2/TL/XDD2tw9izzmuPGVUGlUuHWLW1XguhoBTIyBPjvf/XXiRgA5s3T4OuvVRg/3gi5ufXX8a+/FNi1S4Q9e3pGWFjy85ng9J49Qjz/PBMY/+9/1XjvPTU36JIkcOKEEJ99JkZKSucHyIceIvGf/2gwcSIJtRo4fFiIX38V4fr1+s988GAKK1dqMGqUAh9/LMPffzs1eR1DQ5qbGDUkKkqNpCQgO5sRyGnT7uO11wphamqPjz92x5kzzHdj+nQSO3YoYWNT/1y1Gnj3XTG2bWOeO2MGiZ9/VqLhuMSu6kmSBE3T3B9QX4TM/lej0aCiogLl5eUoLy+HWq2GiYkJ3NzcYGtrC0PD9iUh9DRqtRqXLl3ChAkTdJLVFRERgbfeeguPP/64Ds6ud9Fbcbl48SL8/Pxgy3p0//OY9PR0FBQUICgoqNVtsOZo7jXbS0oKgdGjxdBo6n+kkyY9wPvv38Po0aNbnLlcv04gIqLpAB4VReKPPzSgacaH7Pjxzs18IiKKEBPj3OT2xx/X4OBBIVQqAtbWNGbNkjXbXfPIkSpcv26KtWv1r/1uQoIcVVUEIiK0RTsuTo533zXg4iA9yZtvqrF6NfM9/d//RHj3XeaznTGDxLZtSjR2FpJKgVu3BEhIEOD2bcZu5/79esGxsqIRGEhh+HAKfn4Uhg2jMGQIkxghkTBbqYcPi/D33wJuBSsUMmndzz6rgasrjY8+EuLUqabfMYGAbjErb8ECDfbtYwZDJycK27apMH58Lfbvl+O995xQWWkAsZjCyy8X4eWXadjYWHEriaIiYNEiQ1y7xlz/N95Q48MP1Whr8k5RFCc0jTM3BQIB90fTNOLi4iASiaBWq1FbWwtTU1PY2trCzs4OFhYWepOmrFQqceXKFUyaNEkn5zR8+HB88cUXmD17tg7OrnfRW3G5cuUKvL29uToVlUqFhIQEqFQqhIaGdmrpePnyZfj4+LTqLdYaza0yfv45E0884dbq87ZuFeL115vOat54Q4PPPiNRUwOEh4uRnt6+Wa5YTGttlT32mAZ//tn09YcNo0CS4F531CgSnp40fv+96WO3bMkGTVvhlVdsmtzX0xw5osDo0RSCg41QWFh/TQYOpPD770o895xhu69Va7i7Mz3e22LVKjW++qpefG/elMPPj/nZ/PijCG++KYZSScDEhMby5RosW6Zp4qzQHqRSZsvz0iUhYmIYMWrYZTMggMKCBRo8+SRTz/PZZ2Lcvt0xgX3tNTV++03Etc5+9lkNPv1UBUNDZiWyYwfzPocNI7FpUxHs7YtQVlYGiqJga2uL7OwBePVVF0gkAlhY0NixQ9Vki7Y9NFzVNCc0SUlJcHR0hKurK1QqldaqBgBsbW1ha2sLGxsbGBj03upbJpPh5s2biIiI6PJr0TQNPz8//Prrr5g4cWLXT66X0RtxoWlaq9HO9evX4e7uDhcXF1RXVyM+Ph5WVlbw9/fv9PLz2rVr8PDwgLNz05l+e5DJKISGEsjNrZ9Ju7gocesW0NZi6LXXhNi2rel5b92qxvPPU7h3j8bEiTQqKozbdS5GRiQUivqBJSpKg+vXBZxlS0MefVSDkyeFkEoJCIU0IiNJlJYSuHSp6cAUFXUPjz1Wi0OHvPHnnz3XapXxpFLC1pbG/PmGuHVL+9x27mSCy2++adAl1+SGLFyoade22m+/XcRTT03g/j1sGIXz5xVgk3oSEwm89JIBYmOFWo+ZMoVEQAAFd3catrY0jI2ZLTOZDCgrI1BcTCA7m8C9ewIkJTHu241bNgcHU5g5k8T8+Ro4OdHYu1eE119veTAdNoziWkU3fq/V1QT++os5Rx8f6p/tRgqxsQIsW2bACfYLL6jxySdqsLu8NE2juroGX34JbN7sCIoSYNAgKbZsKcDw4ZYwNzfv8qydXdVQFAWVSoX4+HgMGjQI9vb2WttnNE2jpqaGExqpVApzc3NuVdPTjsK1tbWIj4/HhAkT2n5wG9A0DQ8PD5w6dQojRozQwdn1LnorLrdv34ajoyMEAgFSU1M7HF9pjps3b8LFxQUDBgzo8HPVajUSEhJw86YRXn9dOwNn0iQKR4+q0ZrmkSTw2GPNb38dOaLClCkUdu68hDVrHkJ+fue2e8zNaYSHkzhxoumJODkxg9zNm8xri0Q0oqJIVFQQOHeu+eMtWZKKqVNliIsbiM8/79gWZHsYNIjC55+rMHkyhQMHhHj22ab76qNHk1i3To133hHjxg3mPO3saJSVdX0AWb1apZUg0BJPP10DAwMpfvrJhbttwoQ67N2rhoUF83yaBk6dEuB//xPjyhVBp1Ox3dwojB9PITycxJQpFBwdaVy6JMD334taNPa0sKAxfDjV7Ofo60th+nQS334rglLJZB6+8YYGb76pBkUBa9aI8b//MUWtTk4Uvv9ehYcf1s4orK0FVq40wIEDzPEXLFDi/ffzUVcnQUVFBQQCAezs7GBnZwdbW9suxR6USiViY2NhamoKX19fAGh2+4z9f6VSyQlNRUUFhEKh1qqmO6rbG1JdXY2UlBSMGzeuy69F0zTs7e2RmJiIIUOG6ODsehe9FZe4uDio1WpIpVIEBQXBzs6uy8eIjY2FnZ0dBg4c2KHnSaVSxMXFwdTUFEFBQXjlFSP8+CPzQxYKaZAkgVWrNFi/vvXtAakUmDhRjDt3ms4sb9xQoaTkFNzcxmP+fCvk5HR+8Jw1q+VK9ZAQEiIRuJWBSEQjLKwMxsYCxMS0vPzy9a3A448XYPhwA9TU2OPvv80REyPUCrK3hoMDjYcfJrFwoQYTJ1K4f5/A77+LsGFD87EeV1cKe/ao8N13Iq7wz9SUxuDBNJKTmx7T0ZHmtnraQ0AA01rh1Kn2CXlNjQwWFtpbsT4+FVizJg1Dh1pqzZorKphYyc2bAty9K0BhIePNJpczactGRoCtLQ1HRxoeHjQ8PSn4+1MIDqbg5MRMRG7eFCA6Wojt21uOhY0aJYeLixgHDzb/WX/+uQpffSVCfj5zvSIiSHz+uQpDh9K4dk2A//s/A85F+rHHNPj8c1WTFXh8PIFnnzXEvXsCiEQ0Nm5UY/ny+owxiqJQVVWFsrIylJWVQSaTwdramhMbExOTdk8IFQoFYmNjYWlpCT8/P+55DVc1rSUFUBSF6upqTmxkMhksLS25VU1HzqW9VFRUICMjA6NHj+7ya6lUKtjZ2SE/Px+urq46OLveRS/FhQ2SAcDo0aN1lpqXkJAAS0tLDBo0qN3PKS0tRWJiItzd3eHt7Q2CIFBVBYSEGKCoiIC5uQa1tcyPe+dONRYubL2OpLAQCAoy4HqnNOTrry/i8ceHoqbGAjNmiJvYx3cEZ2cKI0ZQOHKk+YFnzBgStbUkUlLqZ+6enhQiIkjcuSPQykhqCQcHFUaPVmPECCF8fQmYmdEwNWUEV6MhoFIxFit37xKIixPgwgVhm5YrCxdqsHChBr/9JsKBA0JuBTBhAomyMqLZLR8/P0pLsBvHpJrjq69UWLWq/r3Pnq3BsWMtz3JjY+UwMgL8/LS3LY2NKTz7bB4mTUqFubkQdnZ2sLe3h7W1dYfSUwsLCVy6JMCpU0Ls3dv6bHvevCyUlLji6lWjZu/ftk2J338X4fJl5vju7hTWr1dj7lwSMhmwerUY27eLQNPMamXLFjVmzdKeGFEUsHWrCB98IIZaTcDFhcIvv6iaGKk2Ri6Xo7S0FGVlZaisrIShoSEnNK1dE5lMxk3+hgwZ0qIIUBSl9ddSUgB7LqzQVFZWwsDAgFvVdPTzaYnS0lLk5ORg5MiRXX6tiooKeHh4oLKyssMZrfqI3ogLwIgKG18RCASwt7fH0KFDdfb6ycnJMDIygre3d5uPZQsjs7Ky4Ofnx9WvsJw+TSAqSgyKIiASMYOpkRGNmBg1goNbv6TJyQRGjGh+O+bAgQrMnGmK4mJg+nQR0tK69gOYOVODO3e0M5QaMmCAGl5eAsTGCrQELzCQmUmXlaHZbTZdMnUqiaee0iA9nZmtNwzWjxhBwsICOHu2+eswb55Ga+ZuZkZDKm1dWGxtaVy+rMDQofVC8d57KqxZo/2ZWFrSqK6uf626Ohni4wmMH980LmZiQmPWrDqEhkrg6FgAG5sq2NvbcmLDptJqNEBREYGMDEYo4+IEOHZMCJms9XP29qawYkU+PvrICVJp89+dXbuUOHxYyG1fGRnReOMNNVat0sDYGDh5UoDXXjPgvguLFmmwfr0KjccxiQT4z38Mcfo0c83nzNFg69amq5q2IEkSFRUVnNio1WpuFWFnZ8el7tfV1SE2NhaOjo7w8fFp9+qCFZeGQtPSqoYkSVRVVaG8vBxlZWVQqVSwsrLixKazE9ji4mIUFBQgLCysU89vyIMHD+Dn5weVSgWxWP+yNzuKXolLdnY2UlNT4eXlBaVSCYqiMGzYMJ29fmpqKoRCIbeX2xIkSSIlJQWVlZUICQlpttYGANaurcUnn2hv17m707h6VYW2dvFOnyYwd27zg8Tvv6sxZUo1zp1LxocfjkR6etc70z30ENlibIUlLIyESkXgzh1CK4XV0pLGyJHMNlJdHXD3rqDZrb32IBbTmDuXRHAwBQMDIClJgHPnBFyDMoAZqMePp0BRwN9/N3/O7u4UvL1pLdFxciJRXNy2GH/yiQoCAfD++/XX/5dflFi0SDvm0zgmc/y4AhERFNLSCISFtZ54IRbTsLLSwMhIDZFIDanUEKWlza80WnuNH39UQSoFVq5suc5jzx4lYmIE+OEHETQaAgRB46mnSHzwgRoDBtB48IDAm2+KcfQoIzpubkwwf8qUpquQs2cFWLrUEBIJM1lav16NpUu1Cyc7A03TkEql3PZZdXU1TE1NYWFhAYlEggEDBjTberwjtHdVQ9M0ZDIZt6qpqqqCsbExJzRWVlbtLuAsLCxESUkJV6jYFdLS0hAREYHa2to+UUDaFnojLhqNBpcvX4a3tzfs7OyQlZWFuro6BAYG6uwY6enpIEmyVcFSKBSIi4uDQCBASEhIq8VbxcXFePVVIQ4e1E4QiIigcOxY6wF+gAkAR0Y2P0NZujQVr7xCwcXFE6+8IsKvv+pmJjN5cimuXrWGTNb6yYWHM1so6emCZlcC5uZMvxcXFxp2dsxAqNEQEAg0UKvlqKtTQKORwdBQAENDEyiVpqisNEJWFmN02bj+wsiIxqhRFMzNaaSlCZCZ2fKPa/FiDc6cEWilKQ8dqsLdu20H511dKcTFKeDoqD1TvX5djtGjtQXjjTfU+Pxz7euekyODgwNQVwd89JG41ZhIZ/D2prBunQoDBtBYutSw1SLM06cVOHJEiB9+EHEZdFOnkvjkExUCAmio1cDXX4uwbp0YMhmzwn7xRQ3++181GttXKZXAp5+K8eWXzPsZOpTCrl1KLuVa16jVajx48ADZ2dmce0bDVU1XZ+4dLeCsrKzkxEaj0cDa2poTm8bF0Q158OABKisrdTJOxcbG4rHHHkNJSYne1PF0Bb0RFwBarT1zc3O5lYOuyMzMhFwuR0BAQLP3V1ZWIj4+Hvb29vDz82tz9iCRSJCWdg9ffjmRS/FkefllDTZubDv//8YNAg89JG42u2jZMg02b2ZWcLt3G+D11w101h9+7Fjyn1TYtmdI7u5MpplMxnSszMrqujGlpSXj4GxoCAgEQGysoM0MsBkzSNA0mhRPenmpkJnZvlqHPXuUGDKEQnBwvZCMGEFi61YVRo7UFpcJE5jbAwK0b8/OloE1ji0rA3btEuHDDztXazFgQC0WLJBgzhzAysoGGzaYtxpzCQ8nsWmTCr//LsKOHSLI5cw1GzWKxIcfqjlj07//FuCddwxw9y7z+Y4bx1juNycWSUkEli2rF7Jly9RYt04N4/ZlxXeKqqoqxMfHY/DgwXB3d0d1dTW3qpFKpbC0tOSERhfpxR0p4Kyrq0NZWRnKy8tRU1PDFXDa2trCwsJCa1zIzc1FXV0d/Pz8unR+AFPk/cILLyAnJ4cXF12jVqs5C/v8/HwUFRXpNN87JycH1dXVCA4ObnJffn4+7t69C29vbwwcOLBdH25ZWRlSU1MREjIBDz8sRlKS9kC9ZYsay5e3bRSZlkYgPFzcbJB/5EgSx44pYGrKBMWfesqgXYV/7WX4cBJ2dk0H7LawsKDh7k7DwoKGUMhY3YhEjMeWSsUIhljMxBjY/1coNFCp1CgqEqCgoP173I8+ysQMfvlFe9A1NqahUqHdQjd/vga//KLCtGmGXLAbANavV2HSJBKjRjGjKRu3MTCgkZ8vx/r1YmzerD2T/u03JSIjSa3topoapntoaioTT6mpIVBTwwTHfX1p+PoyKz1XVxoDB9JQKoFjx9T48ENjPHjQujht3KjCQw+R+OYbMX7/XchNMkaMIPHee2pMnkyBIICMDAL//W+9e4GdHY3PPlPh6afJJltbGg3wxRfMykatJmBnR+Prr1WYO7d7HZ4rKiqQkJAAb29vuLk1LUBWKBSc0FRUVEAkEmmlOnc1EN9WASdrcst6BzYs4GT90Vixyc/Ph1Kp1Els+MSJE/jkk09w586dLr+WPqC34lJUVIT79+/rJMWPJS8vD6WlpVrBN9ZSprCwsMMpz5WVlUhMTERERATy84EJEwxQWKj9C960SYOXXmr9x6pSqXDqVCpefNEfJSXNx1euXpUjKIhGeTnw/POGOHNG99Ynw4eTsLJqOc7RkwweTGHiRAqlpWg2i8vfn0RKSvvPc/BgCpcvK1BTQ2DIEO0peVqaHGVl4AL1w4ZRkEqBvDwBfv1ViagoEuHhhlz/+IasX6/Co4+SbXZZJEng3j0C164JsHu3iKs3ag1v70qsX38fSqUjfv/dDsePi7giyzFjSLz5phpTpzKiUlkJrFsnxnffMXEXkYjGihUavPOOutlGXWlpBJYvry/8nDtXg//9T9XEvkbXlJWVISkpCUOGDGmSJNMcFEWhsrISZWVlKC0thVKpbJLq3FXam+pM0zRqa2u5VU1tbS0MDAxgZGQEHx+fLheT7tu3D9999x1u3LjR5fekD+ituEgkEty7d08nxUksBQUFKCgo4NIGVSoVEhMToVQqO2UpU11djdu3b+Phhx8GACQkEHj4YXGTFsAff6zB2283LzBsDY25uTnKymh88EEwEhKa34/47DMVXnmFcVLesUOE1avFOmvA1ZghQ5iui3I5gcTEngkuhobWwMKiFgAQE9N8nv+IEWST6v22sLCgceqUAoGBNMLCjJCWVv9+fH2ZGMzlywJMm8bsrQ8eTOGRR0hs2iTGQw+ROHpUCZIEHnmkbVE3NKRhZMSs4srLO/7Z2NpSeOedWISFAbdve2LHDmPcu1f/fZg0qRavvabBQw8xsUCZDNi+XYTNm8VcmvfMmRqsXatutl89SQLffCPCxx8zljVWVjS++EKFxx9vurLRNRKJBMnJyfDz8+OaVXUUdsuKTXU2NjbmMvI6EohvibZWNQ1TnVUqFVJSUqBSqaBSqUAQhFYBZ0fjRjt37sTBgwdx7ty5Lr0HfUGvxEWj0XCW+BUVFUhOTtapx05xcTFycnIwZsyYJoWRnanklUqluHbtGqZMmcLddvy4AAsWMBXPbIElALz9tgarV2v/gBvW0Hh5eSEuLg51dcAXX4Tg9Onmhc7NjUJMjAJOTkxK61tvibnU0+7Ew4OCkxMNQ0PGEffq1a6tboYMoeDlRcHIiHm91FRBq3U9vr4KpKd3LNsKYBIFjhxRYtw4CkeOCPHEE9oJGlu3KrFkCYm//hLg0UeZ13dyonD2rBL+/kagaQIXLigwfDgz6TlwQNgkq6yrzJrFBNk9PWuwd28mLl3yxenTttw2qYkJjQULlHjkkUJYWxeioqICYrEJrlzxxY4dLpBImM/Cz49JBmhcYc+SnEzgxRcNOD+yKVNIbNumgotL9w8BxcXFSE1Nhb+/f6e9/RrDOimzqc4kSWolBejCSbmtVU1aWhpMTEwwcOBA1NTUcKsamUwGCwsL7nxMTU3bXNVs3boVV65cwdGjR7t83vqA3opLdXU1YmNj8dBDD+ns9UtLS5Geng4fHx8kJSVpFUZ2BplMhosXL2LatGlar9GSUeVLL7FBfhp5eXnIyMiAn58fnJ2dQZIkqqurUVRUhNLSMhw+7IJvv20+8QAA/vxTyRW+nTwpwKuv6jYW017s7Gg4ODCxFwMDwNCQ2csnSXDeVGo1/ml/zAjigwftO8/2Gku2BNMWQYmHH6bw4EHT7TAAKC+XwchI20Lf0pJGYaEcy5YZ4PffRQgIYLzE2AC3SgX88Yew1fTg1pg2jcSKFWqEh1MwNgbu3CHw229qREcLkJ9fn8Y1eDCFpUs1eOYZDbe1pdEAf/xBYP16EXJzmZmxo6MM//lPIZ56ioCDg20TI0e5HFi/XoyvvmK2zCwsaKxdq8KSJd2/WgGYHYP09HQEBQV1ypG8PTTcsmJTnc3NzWFvb68zJ+XGqc4URSElJQU2NjZwc3PTWtUoFAqtAk6RSKRVwNncZHbjxo3IzMzEH3/80aXz1Bd6thlGB+hMY6+2EAgEUCgUSExMhL+/f6cNLFnYwCJN01pf3BdeYM77jTeEWkaEX38tgkwGrFiRhNLSEgwfPhxWVlbczMjS0hJWVlYYMoRGcHAtJk++h1decW02+P3YY4YYOpTC3r1KTJ9OITxcgU8/Bb791hBqdc/FTMrKCJ34fLG4uFBcinFXhMXFhUJ0tBKBgTQqK9GssGzcqOIEsOH2IhuE/+QTFU6fFiI5WYDFiw2wezfzeAMDYPFiEosXy6BSAXfvEkhKEiAlRYDiYgIKBWBqCgwcSMPHh4KvL5O2zfY6oWlGUL78UoQDB0T/ZHQx52doyHi+LVmiQXg4xQ3+jKgIsWmTGFlZzHWxs6Px1lsqLFhQjdpaOfLzS5GWdofLtLK3t8ft2+Z4+WVD7jlz52rwxRfqHlmtAEyq7r179xAcHAybhg1hdAxBELCwsICFhQUGDx4MlUrFCU1eXh4EAgFsbW1hb2/fqS0rQNvXjCRJ3Lt3DwqFAvb29qBpmuucSxAExGIxnJ2d4erqylnklJeXIysrC3K5HFZWVlyCArsd31MtjnsKvV25KBQKxMTENFkVdBaSJBEXF8e1RG6pMLIjaDQa/P3333j44Yeb/bLu2yfAc8+JmliRTJlShN9+M4KZmRE3A2IDh42RyYA33xRg586Wt4SWLlXjjTfKkJUVD5HIDYcPD8GPP4qabRClT7TUxKqrRESo8cMPGjg706iuBnx8jJvU6gwezMRa2I9t0yaRVsFkRoYcrq40YmIEmD/fEEolAX9/Cl99pcKYMR1vFZ2XR+D8eQFiYoSIiRFCIqk/H5GIRESEAk88IcKsWaRWwy2pFNi9W4StW0Wcj5udHY2XX1bjP//RNKlXYTOtMjIq8dVXzjh71h0A4OCgwZdfqhEV1XM/99zcXOTk5HSqQZ8uYT3H2KQAmUzGDe7t3bJqCE3TyMjIQEkJM0E0MTFpd6ozgCYFnBUVFfjrr78AAHZ2dvjmm290ewEasG3bNmzatAlFRUXw8/PDV199hfDw8G45ll6JC9sSFWCC+2fPnsXkyZO77Gwql8sRHx8PgImTTJ06tcvnCjBf2tOnTyMiIqLFQqvz5wk89ljTNOOZMzX49lsFrK3BpT62xpEjQixZYtDqYPzRR8V4/XULCIXM9tMXX4jw00/6LzK6wtCQwvLlWXjoobuwtDQHRTlj8uTm3WUvXlQgLKxeJF5/XYxvv62fIJw5o8DYscz9MTECLF5syK3QQkNJzJhBIiyMgocHDRsbGgTBrHbKygiUlBAoLGTSkZOSBEhOFqC0VPszMDamMXKkFKGhmXjuOXsMHqw9qy8sJLB9O/P5sYF6Ozsaq1apsWxZU1FhIUngp5+YZA/2eY88Uoonn0yCgYFc5zGJ5mCtk/Ly8hAaGgoLC4tuOU5nkcvlWqnOBgYG3PZZW55jNE3j3r17KC4u5oSlMY0LONkkJaBpqjNJkkhISMA333yD8+fPo6amBtOnT8fMmTMxc+bMDpvstsbevXuxaNEibNu2DePGjcN3332HH374AampqXB3d9fZcVj0VlzaM3C3B7Yw0sHBAR4eHrh8+bLOVkMAcOrUKYSHh7eaaXbhQjUef9wCVVXa72PgQMYMsOEg1xoFBQT++18xoqNbF9uvvirB008bwdhYjKIiAl9/zTgLdyZ7qa/w2GMarF6txsCBjAHqoUN1ePbZ5jPO1q6tz7pjefxxA62UZzbQzyKRAB9/bKBVY9IRhEIaYWEUJk2iMHGiBvb2mZBIHjSxF0pMJLBlixj79wu5rqdeXhRefFGDp57SoLWExps3mdhbQgIzQw4MpPDll4zZJGu/wga/a2pqYG5uzm2f6aInC8AMvpmZmSgsLERYWJjeb/Ow/mes2KhUKtjY2HACbNygkrQ9wtIcLa1qGoqMQCDAokWL4OHhARcXF5w4cQJqtZoz8NUFo0aNQmhoKLZv387dNnToUERFRWHdunU6Ow6L3ooLAJw+fRrjxo2DqWnnvLXYwkgfHx+4u7tDrVbj3LlzmDJlik4cUQHgzJkzGD16NMzNm2+slZeXh/T0dJiaBmD5crcmtiZiMY1169RYsaL9/k2XLwvw6qtipKa2/h5eeikLS5ZoMHCgHQQCYxw5IsRPP4lw8WLv17HoikmTSHzyiRqhoYxAS6XAO+8Y4OefmxfgmTNz8d57RXBwYGaqbPB7/HjtOpbFizXYtk3V5PklJUzB6blzQqSlCXD/PqG1KrW2puHkxNjp+/pSCAigEBBAY9gwCiYmzAB19+5dlJWVISwsDKamppDLgUOHhNi1S6TVwG38eBIvv6zBjBkkWsuwLS5mhG/3buY9W1rS+PBDxhOspUU/G5MoLS1FeXk5V6jIxiQ68/ugaRrp6emQSCTce+tLNKzOLysrQ1VVFUxNTbnYSFlZGYqLi7v03lpLdZ47dy4eeeQRvPbaawCY8VBX45RKpYKJiQn27duHefPmcbe/8sorSEhIwIULF3RynIboVUC/8cyps0H9hoWRoaGhXIZKw2Ccrj40oVCotexteA5paWkoKiriAvdnzsjx6KNGWh0L1WoCb7xhgCtXBNi6VYX2hIJGjlRgy5brOHHCGZs3t2zC+fXXnvj6a2DOnCw888wdhIZaY9o0exQXW2DnTjEOHhT2SoZZVzE2pvHEExqsWKHh7Ewoigl4L1/e8lbP4sVqrFljhIoKM+Tl5SE1NRWWlpawt7dHbq729tnFiwLQNJoIvqMjG8yv/17SNPMHoFURoCgKycnJqKurw8iRI3H3rjF27RLhzz9FnPuyUEhj3jwSr7yi4QSzJeRypmbl88/FXExp0SINPvmk7WJIAwMDuLi4wMXFRatQMT09HUqlssXZe0uwollRUYERI0a06zn6BkEQMDMzg5mZGTw8PKBWqzkX5fj4eFAUBTs7O1RXV0MsFneqvTI7BrHjD7uqSUpKwq1bt7QKvHU1RgHgUrUdWd+if3B0dERxcbHOjtMQvRKXxohEIq2VTHtoWBg5ZswYraUr+2HpMguN3TdtCNu1kj0HIyOjf3LwKRw/rsCiRUZNivEOHhQhMVGA3buVCAlpeTEplUqRkJAACwsLrF7tgtdfl2HdOjG++abl7JejRz1x9KgnBg6U44knUjF2bDKeecYWr71mj/x8W5w4IcLRo6Im9jX6hFBIIzycwty5JBYs0IBNPFKrgf37hVi6tPX4wVtvqfHhh2oQhAWsrS3g6ekJhULRoPdIQ1dmCjk5Aly7JuDiLq1BEE1FqDEajQaJiYnIzxchK2scXn/dUOt6u7tTeOYZDRYtIjFgQOubCTTNvOcPPhBzad0jRpDYsEGNUaM6nmzAZlLZ2trCx8cHMpkMpaWlKC4u/mfVbcrFJCwtLZtMAimKQmpqKqqrqzF8+PAubWPrE2KxGI6OjqitrYVQKISfnx+kUik3MbGwsOAEuLPbigKBAHfv3sW8efPw/vvv44MPPuiGd1JP43NsnOmq02Pp07YYRVFQq9Xcvy9fvgxfX1/Y27evxW5tbS1X7R4YGNhsIsDp06cxduxYne0FX7p0CUOHDuVsY+rq6hAXFwcTExMEBgZyHfKA+j1WkgQ2bxbhs8/E3L46i4EBjQ0bmKBt48+8vLwcSUlJcHNzg6enp9aXIi+PwDffiLB1a/tSLMeOrca8eWnw9S2DvT2TollXZ48rVwxx9aoQ164JuPTV3sLSksb48SRmzyYxaxap1U+ksJDAr78K8fHHrc8ezcxo/PSTqkkzrIaUlgIeHswkZMiQOri7V+D0aTcEBdVg374yODjYdsmlNy1Ng2+/LcWlSw5IS6vfPjUwYNoPLF6sQUQE1eqqh+X8eQFWrxZzhZADBlD45BM1Fixofeuss6jVam6bqKysDARBcNtntra2EAgESE5OhkwmQ2hoaLclCfQGNE0jKysLBQUFGD58uNZWmFKp5K5Jw21FOzu7DrVXTktLw4wZM7B06VJ89tln3TbQ98a2mF6JS+NWx9euXYOHh0e76lEkEgkSExPh4eHRal+Is2fPYvjw4TpJRQaAK1euwMvLC46OjigvL0dCQgJcXFzg6+urtafanC1FXJwAzz1n0Gxl+rhxJL74grFOB5j4UXp6OoYOHdqqJ1NFBWMN8+mnYq0am9YYMUKKyZNzMXRoPjw8mFmqvb09qquNce2aEImJAty9S+DuXQGys4l2v25HEItJeHioMHq0CCEhNEaOJBEYyJhiNnxvR48K8cEHBu1KTpgzh6npcHVt/St++LAQTz7JDIpz52qwcaMKwcFGUCgEmD69AMuWxcHe3oq7Lm1t+VRWAhcvCnHuHNOrJju7/k0IBEyvmqgoEo8+qml3A65btxhRiYlhXsvUlMbrr6vx0kutB/l1SXMpvSKRCAKBAEFBQTr7TekDrQlLYxpuK5aVlUEul2v5n7X03Hv37mHGjBl46qmnsGHDhm7v4TJq1CiEhYVh27Zt3G3Dhg1DZGRk/w/oNxaXW7duwdnZGQMGDGj1OdnZ2cjOzkZAQECbnkUxMTEICgqCdXNufp3g+vXrGDhwIDQaDdLS0jBkyBAMGDCA20ttqX6Fpa4O+O9/xfjxx6YzY4GAxvLlGjzxxF1IpfkdOm+5HPjtNxG2bBF1eAUya1YRAgLyERSkwrBhFnBwqM8mkssZA8aCAgKFhUx/+MJCpvVzbS2BujrmvyTJbBWxvxczMxrm5ozPl7U1U+To4kLD1LQSavUdjBvnhoEDtT9nmQy4elWA06eF7V6RAYCPD4UNG1SYOrV9W0QrVhhwjstLl6rxv/+pceiQEE8/bQCaJuDpqcGjj5bD27sApqbFsLU1hK2tPYyM7CGTWeL+fab/THw801my8WRBKKQxYQKFefNIzJ6tQaNt71a5c4fAJ5+IuUw2AwMazz+vwZtvqjv0OrqGJEnExsZCqVTC2NgYVVVVMDEx4QZUXfh89RYdEZbmkMlkWqnOrP8Z6xQgFouRk5OD6dOnY968efjqq6965FqxqcjffvstxowZg++//x47duzAnTt3dJryzKLX4hIXFwcbGxt4eHg0+3iSJJGcnIyqqqp259M33sbqKjdu3IBAIEBNTQ1XhcxmgrQlLA05flyIlSsNmq12t7RU4ZNPlHjuOWGHtz5oGrhxQ4Dffxc2K2DtwcxMhSlTChEaCgQGGiM42BR2dl3/Mdy/fx9ZWVnw9w8ASdojI0OAjAwB/v5b0Go/+5YICKDw5ptqREWRaG8stKoK8PWtL7LcsEGFF19k4nzHjgnxwgvNfyZt4eWlwdCh+Zg8mcaCBQ6wtOzYa+TkEPjsMzH27mVcHgQCprvku++q4e7euz9ZjUaD+Ph4EASB4OBgLjbKBr9LS0tB0zQ3oOqi+VdPkpWVhfz8fJ2kUrP+Z2VlZSgsLMTixYsxbNgwFBYWYvz48di1a1ePivC2bduwceNGFBUVwd/fH19++SUmTJjQLcfSK3EBtBuGJSUlwdTUFJ6enk0exxZGCoVCBAcHt3uv9+rVq/D09GySNdEZNBoNLl68CIBZchobG7dZcd8axcXAihUtO++OHEli82ZVqwH/1lAqmTTa338Xdmrwbg5jYxq+vozNiZcXDXNzGsbGTPW9gUG9z5hazdiilJcTyM4mkJqqREaGETSarmfEPPKIBosWabieJh1h9WoxNm2qH/iOHFFoGT/W1jIrwKNHGRuYxttx5uYUXF0VsLOrxcCBlQgJIRESQqKu7j68vLw6PCPMySGwebMIu3eLuHjcvHkavP++GkOG9P5PVa1WIy4uDmKxGEFBQc1mNNE0jZqaGi5Zgm3+xSYFdLQivifRpbA0hqIonDx5Ehs3bsSDBw9QWlqKgIAAzJo1C2+99ZbeFZt2Fb0Wlzt37kAsFsPHx0frMQ0LI4cNG9Yh5b9x4wbc3Nza1UuiNWQyGeLi4qBSqeDu7o7BgwdzWWPtqbhvCZoGtm5VY80aY9TUNA1WEwSNhQtJvPaaGsOGdf6jq6oCYmKEOHNGiIMHhVwqbF9h3DgSjz7KxC06a1l165YAU6YYcvY8YjHTHKylMYWmme3G2lpAKATMzRmjTuY+pi97dnY2l9rJGie2p0gxNZXAF1+IsW+fkHPSnjyZxOrVnZ9M6BqVSoW4uDgYGRlxySrtgbWkKS0tRUVFBQwNDbmkAGtra73ZPutOYQEYZ+gZM2Zg5MiR2LlzJ6qqqnDy5EmcOXMG33//fadSm/UZvRMXlUrFBcHT0tJAUZRWz/sHDx4gLS0Nvr6+cHNz6/Agfvv2bTg6OjbbAa+9VFRUID4+Hs7OzlCr1TAxMeG27roiLACTmJCSkgI7Oy/s3TsY27aJW6wInz1bg9df12DkyI6nnzaEppnmUWfOCHHxohCXLgmaeHH1Ng4ONKZNIzF1KomHHmKamnWFtDQC06cbadmyTJlC4tAhZSvPap38/HxkZGQgICAAlpaWTYoUWaFpaDESFyfApk0iHDlSv5KcPJnEW2+pMW5c1z5XXaJUKhEbGwszMzP4+/t3WhDYinh2VaPRaDhDyYZFrT1NdnY28vLyMHz48G4RltLSUsycORMBAQH49ddfu2xp1RfQa3Fp2PO+YVFicHBwp6274+PjYW1t3WIcpy3Yqn9W3FJTU1FeXg4XFxc4ODh0unKXpmncv38f2dnZWj0vcnMJfPSRGPv3t/xlnDCBxOuvq/Hwwx3fFmr+XBirmdu3BYiNZYLUqakCLbPF7sTMjMbo0RRCQ+v/XFxondnDnz8vwNNPG6KqioClJc2t2qKjFZg+veMDOk3TyM3NRW5uLoKDg5skXbDZRKWlpSgtLYVKpUZ29mDs3++By5frU70iI5lAvb6sVFjkcjliY2NhbW2NYcOG6WxLq6ElTWlpKWpra7naEXt7e5iZmfXI9ll3C0t5eTlmzZoFLy8v7N27t0/Fn7qCXosL2/N+2LBhSEhIgEql6lTHyIa0FsdpDdYJ9cGDB5y4kSTJ5buzM1QTExM4ODjA3t6+3T0kWOEsLS1FSEhIs3uvN24I8M474lbb4wYHU3jxRTUiI8luSU+Vy4HsbAJZWUxKckkJgdJSAhIJ89/KSsa4US5v+T3b2mpgb0/A0pJZjTg7M38uLjS8vGh4elKws2u7KLEz1NQAa9aIsXUr0y546FAKNTVAQYEA4eEk/vpL2eHjsn5TRUVFCA0NbdEGCAAUCqZvzNdfC5CWxgwwAgGFhx+W4MUXpRg92kLv4hEymQyxsbGws7PDkCFDuvXcWqod6YolTVvk5OTg/v37CAsLa/Wz6yxVVVWYPXs2XF1dER0d3e+2vlpD78SlYavjvLw8FBYWQqlUwsLCAgEBAV1eTrYUx2kNjUaDpKQkSKVShIWFtRi412g0nNCUlZVBKBRyQtPS3rJarUZSUhLUajWCg4NbrW6maaYT4qefilvt2mhuzliIPPWUBmPHtq84rzugKKCyshyJiYlwdnaGSCTi6iNsbGy4baLuruiWy4Fdu0RYv17MbYNNmkQiP5/AvXsC2NvTuHBBgYEDO/ZToCiKszwJCwtrcdJTXAz88IMYO3aIuMwzU1MaixZpsHy5DKamJVrxCPa69HY6r1QqRWxsLJycnODj49OjotdwtVdWVsZZ0rDbZ7r4znS3sNTU1GDu3LmwsbHBoUOH+o1zQXvRa3G5e/cu7t+/D09Pz1YLIztCWloaaJrG0KFD2/V4uVyOuLg4GBgYcO2Q2xO4pyiK21uWSCSgKIobNOzs7CAUCiGTyZCQkABjY+MOCSdFAadPC/D11/VFdS3h4UHhySdJPPmkBoMG9exHXVhYiLt372LYsGFahbCsvUhpaSmqqqpgZmbGibAut0Ly8wns3i3Ed9+JuUF90CCmedfVqwLU1BBwcKBx8KACwcEduzZsGrxcLkdISEiTgYMkgbNnBfj5ZxFOnKh3OHZzo7BihQZLlmiaxI0axiNKS0tBUZRWPKInt1Nqa2sRGxuLAQMGNHGD6GkaGkqWlpaiuroaZmZm3KqmM10mu1tYpFIp5s2bByMjIxw7dqxPeq11Fb0UF5IkkZWVhezsbBgaGmLixIk6e/179+5BqVTC39+/zceyWWmOjo4YMmRIkx7a7f1C0zSN6upqTmgUCgUsLCxQW1sLJycnDB06tNM/3uRkAlu3MvUQbVnBh4SQmDqVwrRpJIYPp9pdC9JR2H4e9+/fR2BgYKvxscbuvGKxGPb29nBwcOjUzL2ykqkZ2r9fhL//FnBuAq6uFAYMoFFeTnDO1CNGkPj1V1WbXl6NUavVSExMBEVRCAkJ0Rr0CwsZQdu5U6TVznn0aBIrV2oQGUm26FTckIbpvKWlpairq4OVVb1LQFe2htuiuroacXFx8PDwwKBBg7rtOJ1FpVKhvLyc+84IBAKunsbW1rbNSRobH+suYZHJZHjkkUcAAMePH9f7tgPdhd6Ji0KhQEJCAqqrq+Hp6YmcnBydFvlkZ2ejtrYWQUFBrT6usLAQd+7cgY+PD9zc3LpUv9KY3NxcZGZmwtDQEEqlkhs0HBwcOj3DKSlhtl6+/17UrqI/GxsaDz3EZF89/DCJNowN2g0bPyorK0NISEiHfrzNzdzt7Ozg4ODQ4qBBUUwV+/nzQvz9txAXLgi0/NoGDqRgZMRY8RcUMIO9pSWNjz5iLOk7KrBKpRLx8fHcSlYoFEKjAc6cEeCnn0Q4eVIIimKOb21NY+FCDZ59tt69ubOwDa7Y7TMTExNOaJozk+wslZWVSEhIgKenZ7c0kNI1bAthNlbDbrmyYtNYhLtbWORyOR577DHI5XKcPHmy39WudAS9E5fbt29DJpMhJCQEMpkM8fHxmDRpks5ePzc3FxUVFQgNDW32fjZAm5eXh6CgINjZ2XWq4r6l187KysKDBw+4GT3rzCuRSFBZWQkzMzNOaDqzRaRSAefOCbB/P1P4196UYg8PCsOHUwgLozBiBIWgIKrDSQGsdbhcLkdoaGiX9pjZmbtEItGK0xgbO6Cw0AlJSUaIixPg0iVhky6PVlY0xGKmbqWwsH71YGdH48UX1Vi+XNOu1gaNYbOmLC0t4efnh4ICpgfLrl1CreOMH09iyRINoqJIdMduCFsNz8YjAGiZSXY2LllRUYGEhAT4+Pi0armkz7BbrozTdSUnwnZ2dqiqquKEpTsGfaVSiSeeeAIVFRU4ffp0r7Z21gf0Tlzq6uq4zmxSqRTXrl3DlClTdPb6+fn5KCoqwogRI5rcp9FokJycjNraWi4rTVcrFpIkcefOHVRXVyMkJKTZpTLrQCuRSFBeXs61X2W3iDp6fLkcOHVKiP37hfjrLyEUivY/XyikMWwY0/DK25uGlxcFHx8a3t4UmpvwqVQqzjEhKCioy/GBykogM1OAjAxmGystjcKdOzSysw1bNM4UCGgYGQEyWf39BEFj0iQKTz2lwdy5nc+ik0ql/9gROSA7exh+/lmMM2fqt91sbWk8+SSzSvH17bmfFE3TqKqq4gbUziZLlJaWIjk5GUOGDOlygbG+oFarteKeTNsLW7i4uMDWtmtO141RqVRYtGgR8vPzcfbsWdh0trK3H6F34tKwG6VcLseFCxd02pa4sLAQeXl5GD16tNbtbOBeJBIhODgYYrFYJxX3APPFS0hIAAAEBwe3Kx2R3SJiZ+4AOKHpTFpmbS1w4gSzdXT+vABFRZ3PQrKxYTotOjoyXRdtbVVQKPJhbS2Gj48zzM0JmJoyqwe21wnbY14uBxQKxgBTKiVQUQFUVhKoqCBQVMSYYBYVEais7Pz1FgiYOpmZM0ksWNB2f5S2qKqqQkxMCm7cCER0tAO3vQYAEyeSePZZRrj0wW2+YeCbTZZgZ+4tBb5LSkqQkpICf39/ndgi6Rush52vry/kcrlWDItd8ZmYmHT6N65Wq/Hcc88hIyMD58+f15lvYV9Hr8VFpVLpvC1xSUkJsrKyMHbsWO62qqoqxMfHw97enssia9yDpbNIpVLEx8fDysoKw4YN63T72KqqKk5olEolF4voTBYRTQMZGUycIiZGgIsX+579S2Pc3BTw85PA378cU6bQ8Pa27tIWEUtJSRk++kiG6GgfyGSMqNjZMWnES5Zo4OWlVz8fLdiVMBv4FgqFTepGioqKcPfuXQQEBLS7b1Jfgi1MDg0N1WoJwMawWOdiNgXczs6uQ5Y0Go0Gy5cvR1JSEs6fP98vxbmz6LW4UBSF06dPY9KkSTprQlRWVobU1FQuSaCoqAgpKSnw9vaGu7s7tw1GEESXawzKysqQnJzMeY/pYvXFVjWzQiOVSmFtbc2l8nYmzqHRACkpBBITBUhIYP6SkwWtFkP2JtbWNIKDmcr9kBAKI0dScHWltbLydFFPU1hYjMWLjXD1KrNNFBRE4YUX1HjkERJ9rWShuboRExMT1NXVwd/fv81WFX2RvLw8ZGVlNRGWxpAkqeXozG6ftWVJQ5IkXnjhBVy/fh0xMTH9ZjtRV+i1uADAqVOnEB4errPUy8rKSiQmJmLixInIzMzk0mXt7e11FrgHGA+0jIyMJjUeuoZd5kskElRVVcHc3JwTmq5Ue2s0TN+W5GSmGj8nR4CcHMbRuCtbau1FLKbh6kpz8R4vL+a/3t403N3bZwVTV1fHCU11dTVnJMna9LR2bR48eIBdu2qxbt1wiMU0vv5ahaefJrvFOaCnoWkamZmZyMvLg7GxMWQyWa/YrnQn7RWWxtA0jdraWk6EWUsaVmjYa0NRFF555RXExMTg/PnzfSKzrqfRO3Fp3Or47NmzGDlypM7SBmtqanDz5k3Y2dmhuroaoaGhMDMz02lGWEZGBueB1pMZI2zNCJsQYGRkxA2mukpXpWkaKSlZSE6ugIODH5RKC5SW4h/7FyaWIpcz/5XJwDn8snEXoZCGiQlgYsLY9VtYAPb2NBwc6v/s7ZmGYroc31QqFSc05eXlLVbCs83n8vLy8OuvEdizxxQvvqjGhg3qNo7Qd8jNzUVOTg438Da2MGITSfTNtbi9dFZYmqPhtamoqMDWrVs5/8Bbt24hJiZGL2uB9AG9t+Zk6gg0bT+wnWg0Gmg0GiiVSowePZoL3OtCWNhsM7lcjpEjR3ZroVtzGBgYwMXFBS4uLtxSXyKRID4+HgKBQCshoDMDBkVRXMZbZGTIPz+ylnvT6xMGBgZwdXWFq6urVrJEcnKyVmMrtrHTiBEjcOqUAdzdmRTt/gArnA8ePNBKxzU0NGxybcrKynDnzh2tLSJbW1u998Z68OCBzoQFaHptampq8N133+HWrVsAgFWrVmH27NmIiorqlzGrrqD3Kxdddo6srq5GbGwsVCoVJk+ezC1vga4H7hUKBVdcFxgYqFfOp2yhGRunUavVWgkB7Ql6N/RACwkJ0VkMrLdh4zQSiQT5+fkgSRLW1tZwcnKCvb19v3qfmZmZKCwsbHe/koZbRGx8j236xW676hMPHjxAZmYmQkJCumXHgKIorF69Gr/99hvOnTsHiqJw7NgxHDt2DP/9738xc+ZMnR+zL6N34tK41fG1a9cwaNCgLgcci4uLkZycjEGDBiEzMxMRERFc5lZXl/3V1dVISEiAvb09hgwZotfbCOyAwQpNXV0dbGxsuDhNc4MpK5yGhoYIDAzsd70oSJJEYmIiVCoVfH19uaQANk6jixhWb0LTNNLT01FaWorQ0NBOiwJb8FtaWorKykpu25V1CejN7313CwtN01i7di127NiB8+fPw8/PT+fH6G/ovbjcvHmTW5Z29vWysrKQk5ODoKAg2Nra4syZM/Dx8YGzs3OXl/klJSW4c+cOZ5fR1wYfmUzGCU11dTUsLCy0BlO2eJC1XNdn4ewMarWa2zZsXPzZUpyGjWH1hWtB07SWc7OuDBTZ3vDs9QF04xLQGfLz83Hv3r1uFZbPP/8cW7Zswblz59q0jtIV27dvx/bt25GbmwsA8PPzw4cffogZM2Zw5/Xxxx/j+++/R2VlJUaNGoWtW7fqjfDpvbjExsbC3t6+U9kYrHNtVVUVtxVAkiQePHiAwsJCrTReBweHDm2BsA2icnJytJp79WWUSmWTwVSpVMLZ2RlDhw7tE4NpR2BXZKwrdWs1SGwMq7nBlHW51jfYGFlNTQ3CwsK6zfK9uRRwa2trblXTnY7AbPfP0NDQbhOWLVu2YNOmTTh9+jSGDx+u82O0xNGjRyEUCuHl5QUA2LVrFzZt2oT4+Hj4+flhw4YNWLNmDXbu3AkfHx989tlnuHjxItLT07vFN62j6J24AMwgx5KYmAhzc3MMHjy4Q6/BDhwEQXBV8Y2tXORyOSQSCSQSidas3cHBodVgPNvHo7y8HMHBwf3SnC4/Px9paWkwNzeHTCZrV2+avoRMJkNcXBysra07LJwN4zSlpaVQKBRa9TT6EKehKArJycmQyWQIDQ3t0XOSyWRchlVlZSVMTU25a9MZe/yWYIUlJCSkSfdPXUDTNL799lt8+umnOHnyZBNXj97AxsYGmzZtwnPPPQcXFxesWrUKb7/9NgBm3HR0dMSGDRvwn//8p5fPtA+IS0pKCgwNDeHt7d3u59fU1PzjA2XDtWVtK3DPztolEgkqKipgamoKBwcHODo6au21s3brGo2mzeZefZGG7ZYDAwNhZ2fHFeCxQtywN01Pb4HogtraWsTFxcHZ2Rne3t5dHuzq6uo4oampqeHqInorTsMaiCqVSoSGhvZqhpdardYy2WTt8dnvTmdXfAUFBUhPT+9WYfnpp5/w3nvv4cSJExg/frzOj9ERSJLEvn37sHjxYsTHx8PIyAienp6Ii4tDSEgI97jIyEhYWVlh165dvXi2DHopLg1bHd+9excA2t3cq6SkBElJSRg8eDAGDRoEiqK412rv7LShgWRZWRkMDQ3h6OgICwsL3Lt3D2ZmZm1uo/RF2MBvSUlJi+2WG7oVs71pGiYE6HuqKmspP2jQIHh4eOj89dm6CHaSYmhoyF2bzpiPdhSSJJGQkACSJJv0mult2KxFdvuss90le0JYfvnlF7z55ps4evQoIiIidH6M9pKcnIwxY8ZAoVDAzMwMv//+O2bOnImrV69i3LhxKCgo0HIGWL58Oe7fv49Tp0712jmz6P2UUyQSaa1kWoLN4c/OzkZAQAAcHR077WgsFovh7OwMZ2dnbq89Pz8fubm5EAqFMDQ0RHV1da+3odUlJEkiJSUFUqkUI0eObHGfnCAIWFpawtLSEt7e3tysvaCgAHfv3oWlpSW3tahv3fdY59/utJRvXBfBztoTExMBQGvFp+vJiUaj4baCQ0ND9W5FKRAIYGNjAxsbG/j4+HAmm0VFRdwWLHt9WnIJ6Alh2bNnD9544w0cPHiwV4UFAHx9fZGQkICqqipER0dj8eLFuHDhAnd/42tE07TeJBXp/colOzsbNTU1CA4ObvHxrJ0926fF3Nxcp1YubLteHx8fmJiYoKSE6XlO03SXnIr1Bda1mY1PdXa22zBVteHWYmd70+iSwsJCpKWlwc/Pr1fMBRta43dHnEatViMuLg5isZhrYtaXaK4jaUOTTYFAwH2GwcHB3WZpHx0djRUrVuDPP//ErFmzuuUYXWHy5Mnw9PTE22+/rffbYvo1tfkHgiA4cWnYs7452M6ANE1j9OjRMDAw6JbmXsHBwVy7XltbWy6oW1JSgrS0tE4VJuoDbEM2MzMz+Pv7d2lQMjIygpubG9zc3LQceW/dugWxWKy1PdSTKz42htSdg1JbEAQBa2trWFtbcyu+0tJSbsBk4zSs71lHUKlUiI2NhYmJCQICAvrkarqhuwRFUZxLwN27d6FWq2FiYgKpVIqAgIBu+wyPHDmCFStW4LffftNLYQGYMUmpVHK1f2fOnOHERaVS4cKFC9iwYUMvnyWDXq5c1Go1F4AvKChAQUEBRo4c2eRxtbW1iI2NhZWVFfz9/SEQCHTWg4VdDbGrptYqmlmn4pKSEkgkEsjl8j4Rh2CLP52cnODj49NtK4uG7YslEgmA7t0eYmEnB/n5+QgJCdGJHUh30DAFvKKiQqs4sa04jUKhQFxcHMzNzeHn59cnhaU1aJpGTk4OsrOzYWxsDLlcDktLS25Vo6uEiRMnTmDx4sXYuXMnFixYoIMz7zrvvvsuZsyYATc3N9TW1mLPnj1Yv349Tp48iSlTpmDDhg1Yt24dfv75Z3h7e2Pt2rWIiYnhU5Fbo6G4FBcXIzs7W6v/CgBIJBIkJiZi0KBBGDx4cKcC9y2hVCqRmJgIgiAQFBTUYXFg4xASiQS1tbWwsrLitof0JbuMjT94enpi4MCBPXbchttDEomE603DDqa6CkCzxYPl5eVdqkrvaRp6wrEtjFsSYrbtsrW1NZcV2d9g+82wq06FQqFlJNmSAWlH+Pvvv/Hkk0/i+++/x5NPPtkN76JzPP/88zh79iyKiopgaWmJwMBAvP3221xnXraI8rvvvtMqovT39+/lM2fQS3HRaDTcCoRdGoeHhwOoL17MzMzUCtyTJKmT+EptbS0SEhJgZWWlk5mgQqHghKahJX5ntj90RUFBARd/6M0+HuyKjxUatqiV3R7qrBCzNR51dXUIDQ3VG0HvKBRFccWJrBCzJpKmpqZITk6Gvb09fH19+7WwsM4ajWnch4WiKK005/ZMVC5cuIAFCxZg69ateOaZZ/rldewt9F5c2P4rERERXMVxWVkZQkNDYWFhodPAPdvca+DAgRg0aJDOv2isnQhric8Wlzk6OvZIwLuhnXxwcHC3ZNt0hca9aczMzLSEuD3XR6PRcHVIISEhersl2VFomubiNMXFxZBKpTA0NISbm1uvTlS6i7aEpTFsijy7vVhXVwdra2utNsaNuXz5Mh555BFs3rwZS5cu5YVFx+i9uNTW1uLGjRuYMGEC4uPjQZIkVxjW2VTj5njw4AHu3buHYcOG9chsXqPRaNXSGBgYcAOprnqvNIR1FaioqEBISEi7XHF7k8a9adh6kdauj0qlQnx8PEQiEYKCgvpMUkVHYOOMzs7OMDEx4dr0GhkZcTG+7vj+9CQdFZbmYCcqrEuAiYkJ7O3tOY+12NhYREVFYc2aNXjhhRf69PXSV/RSXBp2o5TJZLh48SKMjY1hYWHBZcPoKnBPURQyMjJQXFzc4829WBr2FyktLQVBENxAqgurFY1Gw1Vsh4SE9LltosZxCIIgmvSmYQPbbNZbfwtsA0wCRlxcHDw8PLQaVGk0Gq0qeIIgdFIF3xsUFxcjNTW1S8LSGPb6FBYWYs6cOaAoCmKxGLNnz8aWLVv0IvjdH9F7cSkqKkJiYiIGDx4MLy8vrcB9V4WlYXOvkJAQvSj6a9h7RSKRgCRJbiDtzEDBpmqz9Q99fTbfXG8aKysr1NTUwM7ODn5+fv1yFso6C7Du2y3RXBU8G6fR58xFoF5YWNuh7uD27dtYsWIF7O3tUVJSgtzcXEyaNAlbt27tsH8hT+vorbio1Wrcv38fGRkZoCgKkyZNglAo1Nk2mFwuR0JCAgwNDREQEKBXNhksDQ0SG2ZWsbU0bZ2zVCpFfHw8l03U32bzNE1zWyhsx1K2MLGjLtf6THl5ORITEzvsLNAwTsNmLuprsy+2dUV3CsudO3cwY8YMvPzyy/jggw9AEAQyMjJw9OhRLFu2rF8a0PYmeikubFBWIpEgJCQEN27cwLhx42BoaKgTYWHrOxwcHODr69snBl02s4oVmoZNvhwcHJrMSNmZrpubGzw9PfvlbJ4ddNl06uZ603S2MFFfYFPGhw4dCmdn5y69FpvGy/qesXGI3o7T9ISwpKWlYcaMGVi2bBk+/fTTHnmv69atw4EDB5CWlgZjY2OMHTsWGzZsgK+vL/cYfe/J0hX0UlzY4DprFR4TEwNzc3M4OzvD3t6+S1s7fb25Fws7kEokEtTU1Gh5etXU1ODOnTvd6qHV25SUlCAlJQVDhw7VMu5jaZiZV1FRAWNjY05odGn73p2w79Hf31/nljUN4zSlpaWcW3FPWxmxv8eAgIBu60F/7949zJgxA0899RQ2bNjQY5PJ6dOnY+HChRgxYgQ0Gg3ee+89JCcnIzU1lZvs6HtPlq6gl+JCkiQUCgUXuJfJZFz1e11dHWxtbeHo6NihoruGzb2684vcG7CeXuxACgDOzs7w8PDQ+6ywzsD28Wjv58gOpGxCgFAo5IRGX3vTsNt9PfFdbSlOw26/dlechhXPwMDAbnuPOTk5mD59OubPn48vv/yyVz/r0tJSODg44MKFC5gwYQJomtb7nixdQW/FRalUNtuDha1+LykpgVQqbXVriKVhc6+QkJA+PyNoDpqmkZGRgcLCQri5uUEqlaK8vBzGxsbc9TE3N+8TM/aWYCcIubm5na7TadibprS0FCRJcjN2felNw4qnLjOm2kvDwtbS0tJui9NIJBIkJyd3q7Dk5eVh2rRpmDlzJrZu3drrk4jMzEx4e3sjOTkZ/v7+yM7O1nvzya6gl+KyatUq5OfnY+7cuZg+fXqLs2+2k2RJSQlqamqatVlRqVRISkrqt829AG0ftNDQUK5grOGMvbS0lDOPdHBw6JHeIrqEFc/i4mLO+VoXr8n2piktLdULT7i8vDxkZWXpTZFrY6drXcRpekJYCgsLMW3aNEyaNAnfffddr6dj0zSNyMhIVFZW4tKlSwDQJ3qydAW9FJfExET88ccfOHDgAPLz8zFlyhRERkZixowZLe6XN7ZZsbCwgLW1NYqLi2FhYdFlx199Ra1WIyEhATRNc+2cm4N1mmWvEQBOaNhaEX2FoiikpqaiqqpKSzx1TeOOkmwcq6UKb12Tk5OD3NxchIaG6qXJZuPtRYFAwAlNe+M0rLAEBATAwcGhW86zuLgYM2bMwKhRo/Dzzz/rxe/+hRdewPHjx3H58mUuDsqKS2FhoVayxrJly/DgwQOcPHmyt05XJ+iluLCwHlH79+/HwYMHkZmZiYceegiRkZGYNWsWrK2tW6zUzsnJwYMHD0DTNCwsLHrdz6s7kMvliI+P56zW2/sjaq6WpmGKsz78GFlIkuRqkXqyF3xLvWns7e11vr3I2vI8ePAAYWFhfWLbtmGcRiKRQKVScYWbLcVpSktLkZSU1K3CIpFIMHPmTAQGBuLXX3/Vi23Ol156CYcOHcLFixe1il/5bTE9gXW5ZYXmzp07mDhxIqKiojB79mzY2dlxP/g7d+6guLgYQ4YMgYODA0pLS1FSUsL5eTk4OHB+Xn0Vtg98V9Opm2tbzAZzdelS3BnYVRmALjUx08V5sOaIZWVlOu1NQ9M07t27h6KiIoSFhfXJ72RzBqSNV309ISzl5eWYNWsWvL29sWfPnl6vXaNpGi+99BIOHjyImJgYeHt7N7nfxcUFr776Kt566y0AzMTYwcGBD+j3FjRNIzMzkxOa+Ph4jBs3DnPnzkV8fDwuXryIS5cuNcmZZwcJdlnfV4Pd5eXlSEpKgoeHBzw8PHR63g1raViXYvYa9WRRIussYGhoiMDAQL1ZTTXsTdOwG2lnrFZomkZaWhrKysoQFhbWI1tvPUHjVZ+hoSEUCgW8vLx0/n1lqaqqwuzZs+Hq6oro6Gi9cCJYuXIlfv/9dxw+fFirtsXS0pJzA9H3nixdoU+KS0Nomsb9+/fxxx9/4PPPP4dGo0FoaChmzpyJyMhIuLq6NvtlJkkSZWVlKCkp0TKOdHR01Os6CLbl8rBhw7pcVNcWbMKERCLhihJZoenOgZDtU2JlZaXXzgItOSi0pzcNTdNITU1FZWUlwsLC9MJ6qDsoLi5GSkoKLC0tIZVKOxWnaYuamhrMnTsXNjY2OHTokN4k7bQ0hvz8889YsmQJAP3vydIV+ry4AExNQGRkJIyMjPDNN98gJiYG0dHRuHr1KkJDQxEZGYnIyMgWZ00NjRFLS0shEon0LquK7ch3//59BAYG9niKKtstka2labi9qKtugACzcoqNjYWjo2Of6lPCWq00XPWx2Yv29vZa4sG2jqitre3T/WbagnUX8PPz4/ouNfaFY33POltPI5VKERUVBWNjYxw7dqzfinRfpF+Iy969e3H8+HHs2LGD27qhaRolJSU4ePAgoqOjcfHiRfj7+3NC4+3t3ezA1TirStcOxZ2Boihu+0Qf6nQaby+ydu9drX6vqqpCfHx8t/XT6UkaW76zvWns7OyQnZ0NuVyOsLAwvdi+6Q7KysqQlJTECUtjGtoZlZaWcmLMrmraszKuq6vDI488AoIgcPz48T4Zr+rP9AtxAZgva0uDEU3TKC8vx+HDhxEdHY2zZ8/Cx8cHkZGRiIqKwtChQ1sUmqqqKs4dgN1fd3R07LH0XZIkkZSUxGVL6dsst/GqTygUaq362nuN2MHI29sbbm5u3XzWPUvD3jRsS4UBAwbAycmpz/deaQ72s+xIb6TmsvNYoWluwiKXy/HYY49BLpfj5MmTvOmkHtJvxKW9sD3cjxw5ggMHDuD06dMYOHAgJzRsv5iWnseuaDQaTZes8NsD2/xKKBQiKCio17Nf2oKtfi8pKdEKdrflV1VUVITU1NReb7vcnWg0GiQkJICiKLi5uXFJAWxvGl3GIHoT1ky0K0331Gq1Vn8aoVDIJecMGjQIAoEATzzxBCoqKnD69Ole6cHE0zb/OnFpTE1NDY4dO4YDBw7g5MmTcHR0xNy5czFv3jyEhoa2KDRs+m5JSQmX4+/o6KizOpG6ujrEx8dzBaD6GtRuCTbYza761Gq1Vi0NW3+Ql5eHzMzMXrE66SnUajU3SQgODua+H41rRdhrxMYg9H0y0RhdCEtj2AlLaWkp3n//fcTExMDDwwMynCTSHAAAIxxJREFUmQxnz56Fp6enTo7Do3v+9eLSkLq6Ovz111+Ijo7G8ePHYW1tjblz5yIqKgojR45sVjTYvWN2EJXL5R3qudIcVVVVSEhIgKurK7y8vPr8tglN06itreVWfazNCkEQqKysREhISL+dfapUKsTFxbWZUs1eI1Zo2JYK7KpG37ZDG8MKiy5aA7SEUqnEs88+i9TUVBgaGiItLQ3h4eFYuXIlHn300W45Jk/n4cWlBeRyOU6fPo3o6GguC2XOnDmIiorC2LFjW6z8ZYOUJSUlnIMzG4Noj9BIJBKkpKTAy8ur1Y6DfRmpVIrU1FTU1NQAQLOecP0BlUqF2NhYzkGhI6tPmUzGCY2+96bpCWHRaDRYtmwZkpOTcf78eTg6OiIvLw9HjhyBo6MjFixY0C3H5ek8vLi0A5VKhb///hvR0dE4cuQIBAIBZs+ejXnz5iE8PLxF0WjYKqC2thbW1tZcq4DmChLZPjb+/v7dVsXc27BpuKzJJkEQTTzh9HUQ7QgKhQKxsbGwsLCAn59fl7Y19bk3TUVFBRISErpVWEiSxMqVK3Hjxg3ExMQ027+nu7h48SI2bdqE2NhYFBUV4eDBg4iKiuLu78/NvroKLy4dRK1W48KFC9i/fz8OHToEtVqN2bNnIzIyEpMmTWqxir01B2dDQ0NkZmaioKAAwcHB/XaLiCRJJCYmQqVSITQ0tEkabsNBtKFVj4ODA8zMzPrM9iBbBMq2l9bleetTbxpWWIYMGdJtAz5FUXj55Zdx4cIFnD9/vsdX83/99ReuXLmC0NBQPPLII03EpT83++oqvLh0AZIkcenSJURHR+PgwYOQSqWcM8DkyZNbLOhi0y5LSkpQVVUFkUgEmqZ7pTiyp2CD2gKBAMHBwW0aCmo0Gq1aGtZBwcHBQa/Td+vq6hAXFwd7e/tuLwLtzd40PSUsb7zxBk6ePInz589rmT72BgRBaIlLf2/21VV4cdERJEni+vXrnNCUlZVh2rRpiIqKwrRp05rd4mGNGeVyOUxMTFBVVQUzMzM4Ojr2+W2hhigUCsTFxXXYvZmF9fNqWCfS24WtzcG6C7i4uPR4IkZLvWnYVY0uizV7Slj++9//4tChQzh//jy8vLy65TgdobG49HdX467Ci0s3QFEUYmNjOWPNgoICTJ48GVFRUVxPmqysLPz1118YO3YsAgMDIRKJoFarW3Rw1qXFSk/CzuRtbGwwdOjQLgtBc7P17q43ag81NTWIi4uDm5sbBg8e3OufVXO9adjr1BVfuMrKSsTHx8PX1xeurq46PON6KIrC6tWr8dtvvyEmJkbL9LE3aSwu/b3ZV1fhxaWboSgKSUlJnNBkZWVh3LhxSExMxMSJE7Fz585mB0SNRsPFH1iLFXZF01ccnGtqahAfH99tM/mWjCO7kgbeGaqrqxEXF4dBgwbBw8OjR47ZEVqqfu/od6knhIWmaaxduxY7duzA+fPn9Sow3pK49NdmX12FF5cehKZp7Ny5EytXroSHhwcyMzMxadIkrieNra1tqw7O7Ey0L8QfKioqkJiY2GMDbkOvqoZ1Iux16i4Pr8rKSiQkJMDT07NPpI6z1e/spEUsFnNC05pdT08Jy+eff44tW7bg3LlzCAoK6pbjdBZ+W6xj8OLSg/z555949tln8fXXX+PZZ5/letIcOHAACQkJGD9+PCIjIzF37lw4Ojq2KDQVFRWcxQrr5eXo6Kg3Ds5srU53DkRtIZPJOKFht4XYNHBdOeey9R29+T67QkOTVtaup2FCALuiZoXFx8eHa9Gra2iaxpYtW7Bp0yacPn0aw4cP75bjdIWWAvr9tdlXV+HFpQe5ePEiZDIZpk+frnU7TdPIzc1FdHQ0Dhw4gJs3b2LMmDGYO3duqz1p9NHBubCwEGlpaXpVq8NuC0kkEs6huKtJE6ydfHfWd/QkzW0x2trawszMDHl5ed0uLNu3b8dnn32GkydPYvTo0d1ynM4glUqRmZkJAAgJCcHmzZsxadIk2NjYwN3dvV83++oqvLjoGTRNIz8/HwcOHMCBAwe4njRRUVGIjIzEwIEDW3VwZmtpGppG2tra9ojQ5ObmIicnB0FBQbCxsen243WGhg7F5eXlnepGWlJSgpSUFPj7+zdrJ9/XYXvT5OXloaCgAAC4jqS6XPmxx/rxxx/xwQcf4Pjx4xg/frzOXlsXxMTEYNKkSU1uX7x4MXbu3Nmvm311FV5c9BiaplFcXKzVkyYgIIATmpaC5I1NI7vbwZltO11QUIDQ0NA+Y3/esCCxtLQUYrG4zSZx7MosICAA9vb2vXDWPQPbW8fLywt2dnbN9qaxt7fvUnErTdP45Zdf8Oabb+Lo0aOIiIjQ7Zvg6VV4cekj0DSNsrIyrifNuXPn4OvryzU/a6knTUsOzo3dibtyXnfv3kV5eTlCQ0P7bG0ORVFaQgOAExq2d09+fj4yMjL6tYMzoC0sjXvrsOnyrB2+oaEhJzQdifnRNI0//vgDq1atwqFDhzB58uTueCs8vQgvLn0QtrfM4cOHuZ40gwYN4loFtGTR35yDs62tLdcqoKOpuyRJIiUlBXV1dXrZyKyzNNxilEgkIEkSxsbGqKurQ1BQENdbpD/CplU3JyyNYRvFsWLTkd40+/fvx//93/9h3759mDlzpq7fBo8ewItLP6C6ulqrJ42zszMnNCEhIS3GW1pycLa3t28zdVej0SAxMREkSSI4OLjftuulaRppaWkoKCiAoaEhVCqV1nXqaz1XWqMjwtKY5nrTsNep8cTlyJEjeP755/H7778jMjJS12+DR0/gxaWfIZVKuZ40J06cgI2NDebMmYN58+ZhxIgRLc4m2dTdkpISzsG5obFmQ9gOmWKxmHMX6I/QNI2srCzk5+cjLCwMZmZmXOW7RCKBVCpt9Tr1JVhh0UW9TnM1R2fOnIGNjQ1cXFzw2muvYdeuXXwPln4OLy79GJlMptWTxsTEhGt+NmbMmBZFgXVwZnuJsDUiDg4OoGkacXFxMDc375MdMtsLTdO4d+8eioqKOGFpTOPrZGFhwQlNVyxWehpdCktzyGQyfPvtt/jjjz9w9+5dDB48GEuXLkVUVBSGDBmi8+Px6Ad6LS65ubn49NNPce7cORQXF8PFxQVPP/003nvvPa1tmLy8PLzwwgs4d+4cjI2N8eSTT+Lzzz/vt1s1nUGhUODs2bM4cOAADh8+DKFQyDU/a60njVKp5AbQyspKAOBaL/elAbQjsFthZWVlCAsLa9f7VCqVWj1X2IwqtpZGH4pbm6OmpgaxsbHd7jAQExODxx57DOvWrYOJiQkOHz6M06dP45133sHq1au77bg8vYdei8vJkyexd+9ePPHEE/Dy8kJKSgqWLVuGRYsW4fPPPwcAbs/f3t4eX3zxBcrLy7F48WLMnz8fX3/9dS+/A/1ErVYjJiYG0dHRXE+aOXPmIDIyEhEREc1u77CzWysrK9A0zQ2g/c3BmaZppKamorKyEmFhYZ2q6VCr1VrtAoyMjDih6e3mXg1hhWXw4MEYOHBgtx3n8uXLeOSRR7B582YsXbqUe/9SqRQymUxvim15dItei0tzbNq0Cdu3b0d2djYAppnP7Nmz8eDBA86ZdM+ePViyZAkkEkmfqbnoLTQaDS5fvsw1P2N70kRFReHhhx+GsbExDh8+jIqKCjz88MPc7JZNSW1YjMgKTV9q7NUQiqKQkpICqVSqs+w3NqOKTXFm7Xra8vLqbnpKWK5fv4558+Zh7dq1WLlypV58L7Zt24ZNmzahqKgIfn5++OqrrxAeHt7bp9Xv6HPi8v777+PkyZO4ffs2AODDDz/E4cOHkZiYyD2msrISNjY2OHfuXLPVtTzNQ5Ikrl27xvWkqaiowOjRo3Hx4kWsW7euRa8ktrFXSUmJ1kzd0dGxzzg4s+7VcrkcYWFh3bKl2pyXF1vc2lbqri5h2wN4eHh0q6lobGws5syZg9WrV+OVV17Ri+/B3r17sWjRImzbtg3jxo3Dd999hx9++AGpqal9wni0L9GnxCUrKwuhoaH44osvsHTpUgBM74Tc3FycPn1a67GGhobYuXMnnnjiid441T4PRVF49913sXnzZgwdOhSZmZmYMmUKIiMjuZ40zdHYwVksFnMrGn11cGbbL6vVaoSGhvZIejFbq8TGs9RqtU6LW1uitrYWsbGx3S4siYmJmDVrFt555x28+eabevO5jxo1CqGhodi+fTt329ChQxEVFYV169b14pn1P3plTb569WoQBNHqH7syYSksLMT06dOxYMECTlhYWqpM15cvdF9k48aN+O6773Du3DnEx8fj8uXL8PPzw6ZNm+Dh4YHHHnsMv/76KyorK9FwfiIUCuHo6IiAgABMnDgRQ4YM4VocX7p0CWlpaaioqIC+zGk0Gg3i4+NBkiTCwsJ6rG6FIAhYW1vD19cX48ePx/Dhw2FiYoLs7GxcuHAB8fHxKCgogEql0tkxe0pYUlJSMGfOHLz66qt6JSwqlQqxsbGYOnWq1u1Tp07F1atXe+ms+i+9snIpKytDWVlZq4/x8PDg9rwLCwsxadIkjBo1Cjt37tTap+a3xbqHX3/9FYGBgQgMDNS6nQ14s60C7t69i0mTJiEyMrLVnjRsB0nWHYCt5nZ0dOw1B2dW9IRCIYKDg3uti2VjGtbSsDVH7PZZZ+NArLAMHDiwW3vR3717FzNnzsTy5cvxySef6I2wAMw44urqiitXrmDs2LHc7WvXrsWuXbuQnp7ei2fX/9D7bbGCggJMmjQJYWFh+PXXX5sMAGxAPz8/n7M+37t3LxYvXswH9LsZthaEFZrExESEh4cjMjISc+bMabEnDU3TXKtiiUQCiqJ63MFZpVIhLi4OhoaGCAwM1BthaYxcLucSJ6qqqrhaGnt7+3Zn6PWUsNy7dw/Tp0/HokWLsH79er2rgWLF5erVqxgzZgx3+5o1a/DLL78gLS2tF8+u/6HX4lJYWIiJEyfC3d0du3fv1hoAnJycANSnIjs6OmLTpk2oqKjAkiVLEBUVxaci9yA0TSMnJ4frSXPr1i2MGTOGM9Z0cXFpt4OznZ0dHB0du8XBGWBqUuLi4mBiYoKAgAC9GwRbQqVSaWXomZqacplnLWXo9ZSw5OTkYPr06VzKsT5eU5VKBRMTE+zbtw/z5s3jbn/llVeQkJCACxcu9OLZ9T/0Wlx27tyJZ599ttn7Gp52Xl4eVq5c2aSIsi/bcfRlaJrGgwcPtHrSDB8+nBOalnrSNHZwViqV3IpGV0FuhUKB2NhYWFhYwM/PTy8HwfbAZuixtTTNtb6WSqW4ffs23N3dMXjw4G47l7y8PEybNg2zZs3CN998o9fXdNSoUQgLC8O2bdu424YNG4bIyEg+oK9j9FpcePo+NE2jqKgIBw8exIEDB3Dx4kUEBgZyQtNaT5qGxpqsg3NXDCPlcjliY2NhY2PTYouCvkhDd2KJRAKBQABra2uUlZVh4MCB8PT07LZjFxYWYurUqXjooYfw/fff67WwAPWpyN9++y3GjBmD77//Hjt27MCdO3e6td7n3wgvLjw9BtuThhWac+fOYciQIYiMjOR8ploa8Ovq6ritM6lUChsbGzg6OrbLwZl9fmxsLBwcHODr69tvhKUxFEWhqKgIaWlpXOZldzWKKy4uxvTp0zF69Gj8/PPPehu3asy2bduwceNGFBUVwd/fH19++SUmTJjQ26fV7+DFhadXYIP6R44cQXR0NM6cOYNBgwYhMjIS8+bNa3XLinVwlkgkqKmpadOZWCqVIjY2Fi4uLi2ulPoL7HsdMGAABg8ejOrqau5aKZVKrVqarqRdSyQSzJw5E0FBQfjll1/6rTM2T+fhxYVHL2B70kRHR+PUqVNwdnbmVjSt9aRRKBTc1lljB2cjIyOuGt3d3R2DBg361whL462w5mzwbWxsOFHuiCNBeXk5Zs2aBW9vb+zZs6df9bTh0R28uOiINWvW4Pjx40hISICBgQGqqqqaPIZ3b24fUqkUJ06c4HrS2Nracq0CWutJ09jB2cTEBHK5HO7u7vD29u7hd9Gz1NXV4fbt23B1dYWnp2ebItp49ceKsr29fatmnZWVlZgzZw4GDBiA/fv3899dnhbhxUVHfPTRR7CyskJ+fj5+/PHHJuLCuzd3DplMhlOnTiE6OhrHjx+Hqakp5s6di8jIyFZ70kgkEiQlJcHExAQymYyzwHd0dOw3Ds4sHRWWxigUCi4ZoLKyskW36+rqakRGRsLW1hYHDx7sN22teboHXlx0zM6dO7Fq1aom4sK7N3cdhUKBv//+m+tJIxaLMXv2bMybNw/jx4/ntmdu3LgBqVSKIUOGwNXVtV86OLN0VVgao1KpuBTn8vJylJSU4MaNG5g9ezbWr18PU1NTHD16tFOtCHj+XfBRuB7i2rVr8Pf354QFAKZNmwalUonY2FjepqYdGBkZYfbs2Zg9ezbUajXOnz+P6OhoPPfccyBJErNnz4aLiws2b96M6OhouLq6AgDEYjFcXFzg4uKiVR9y8+ZNGBoackKjT71W2gMrLC4uLjoRFgAwMDDQulZXrlxBbm4uFi5cCJqmsXTpUty6dQvjxo3rM9lhPL2Dfiel9yOKi4vh6OiodZu1tTUMDAxQXFzcS2fVdxGLxZg6dSq+++47FBQUYP/+/SgqKsKGDRvg4+OD33//HceOHYNCodB6nkgkgpOTEwIDAxEREQEfHx8oFArExcXh8uXLSE9PR1VVld4Ya7YEm1rdnRlwIpEII0eO5LZ0f/31VyiVSjzyyCNwd3dvcm15eBrCi0srdMa9uTV49+buQSQSIS8vD1euXMHhw4exdetW2Nvb480334SHhweWLFmCgwcPoq6uTut5bOOuhg7OGo0GCQkJeungzCKTyRAbGwtnZ+duTa1WKpV46qmnUFdXh5MnT+LRRx/Fjh07UFRUhOPHj/dKzGXNmjUYO3YsTExMYGVl1exj8vLyMGfOHJiamsLOzg4vv/yyTt2ledoHvy3WCi+++CIWLlzY6mPaa13u5OSEGzduaN1WWVkJtVrdZEXD0zFUKhW2bduGI0eO4KGHHgIAhIeHY/Pmzbh16xb279+Pjz76CMuXL8fUqVO5njTm5ubcawgEAtjb28Pe3l7LwTk5ORk0TXPJAL3l4Mwik8lw+/ZtODk5dauwqFQqPPPMM5BIJPj7779haWnJ3ScSiRAcHNwtx23PeS1YsABjxozBjz/+2OR+kiQxa9Ys2Nvb4/Lly1ziDE3TfOJMD8MH9HVMWwF93r25e2hrBUhRFBISErB//34cPHgQubm5ePjhhxEZGYlZs2a12MissYMzSZJcbUhPOTizNBQWb2/vbhMWtVqNJUuWICsrC+fOnYOdnV23HKcr8Ikz+g+/LaYj8vLykJCQgLy8PJAkiYSEBCQkJEAqlQJgGhINGzYMixYtQnx8PM6ePYs33ngDy5Yt47/wOqCtgVYgECA0NBRr165Famoqbt26heHDh+Prr7/GoEGDMH/+fOzatQvl5eVa22AEQcDGxgZDhgxBeHg4QkJCIBaLkZaWhpiYGCQnJ6OkpAQkSXbr+2O3whwdHbtVWDQaDZYvX4709HScOXNGL4WlNdpKnOHpOfhtMR3x4YcfYteuXdy/Q0JCAADnz59HREQEhEIhjh8/jpUrV2LcuHFaRZQ8PQtBEPD394e/vz8++ugjZGRkIDo6Gj/88ANefvllhIeHIyoqCnPmzIGDgwM3kBMEASsrK1hZWcHb2xu1tbUoKSlBZmYmUlJSuFYBum5TzAqLg4MDfHx8uk1YSJLEypUrER8fjwsXLvTJ7Vo+cUZ/4LfFeHj+gaZpZGdncz1pbt++jbFjxyIyMhJz585ttSdNQ2NNmUzWZQdnFrlcjtu3b3e7sFAUhZdeegmXLl3C+fPn4ebm1i3HaY7Vq1fj448/bvUx7EqTpaVtseXLl+P+/fs4deqU1u0GBgbYvXt3mzFUHt3BiwsPTzPQNI28vDyuJ821a9cwYsQIzobG3d29VQdn1u+MdXDujIdXTwrL66+/jlOnTiEmJqbdSSq6oqNtz4GWxYVve64/8OLCw9MGNE2jsLCQaxVw6dIlBAYGIioqCpGRka0WMMrlcm5FU1NTAysrK65os7Vmdqyw2Nvbd2uLAIqi8N///heHDh3C+fPn4eXl1S3H0TV84oz+w4sLD08HoGkaEokEhw4dwoEDB3D+/HkMGTKEE5rWetI05+DMrmga2qn0pLB89NFH+OOPP3D+/Hn4+vp2y3F0SV5eHioqKnDkyBFs2rQJly5dAgB4eXnBzMyMb3uuR/Di8i9k27Zt2LRpE4qKiuDn54evvvoK4eHhvX1afQ42Tfnw4cOIjo7G33//jcGDB3OtAlrrSdPYwdnc3ByOjo6wsLBAamoqbG1tWxUqXZz7mjVr8OOPP+LcuXPw8/PrluPomiVLlmglzrCwiTMA3/ZcX+DF5V8G2+Z127ZtGDduHL777jv88MMPSE1Nhbu7e2+fXp+muroaR48e5XrSuLq6ckITHBzcotCoVCqUlpaiqKgIlZWVEIvFcHNzg6OjI8zMzHR+njRNY9OmTfjmm29w7tw5BAYG6vwYPDy8uPzLGDVqFEJDQ7F9+3butqFDhyIqKgrr1q3rxTPrX9TW1nI9af766y/Y2dlhzpw5mDdvHkaMGNFEaBQKBW7fvg1ra2tYW1trOTiz7gC6cHCmaRpbtmzBpk2bcObMGYSFhXXp9Xh4WoIXl38RKpUKJiYm2LdvH+bNm8fd/sorryAhIQEXLlzoxbPrv8hkMpw8eZLrSWNmZsZlnY0ZMwa5ubn47LPP8Nprr8Hf358TkIYOzmVlZTAwMOiSgzNN09i+fTs+++wznDp1CqNGjeqOt8vDA4AvovxXUVZWBpIkmxSZOTo68gVm3YiJiQnmz5+P+fPnQ6FQ4MyZMzhw4AAWLlwIoVAIgUCAoKCgJpX3rIOzk5MTSJJEeXk5JBIJ4uLiIBKJuBVNS9Y1DaFpGj/++CM+/fRTHD9+nBcWnm6HF5d/IY0HIt6ZuecwMjLCnDlzMGfOHOTk5GD8+PGwtrZGQkICfHx8MHv2bERFRSEiIkKrJoZ1cHZwcABFUZzQJCQkgCAITmisrKyabLnRNI3du3fjvffew9GjRzF+/Piefts8/0J4cfkXYWdnB6FQ2GSVIpFI+qTVR1+mqKgI06ZNw/Tp07Fjxw5QFIVLly5h3759WLlyJeRyOWbNmoW5c+di8uTJWgWEzTk4SyQSLQdnc3Nz2Nvbw9DQEH/88QfefPNNHDp0iMuo4uHpbviYy7+MUaNGISwsDNu2beNuGzZsGCIjI/mAfg8ilUqxfft2vP76601WGiRJ4urVq5yDc3V1NaZNm4aoqChMnToVJiYmzb4mTdOoqqpCSUkJfvrpJ+zcuRNhYWG4efMm/vjjD0RFRfXAO+PhYeDF5V8Gm4r87bffYsyYMfj++++xY8cO3LlzBwMHDuzt0+NpBEVRuHnzJic0JSUlmDJlCqKiojB9+nStnjQNIUkS//vf/7Br1y7U1NRAJpNh9uzZeOSRRzBv3jy+RTFPt8OLy7+Qbdu2YePGjSgqKoK/vz++/PJLTJgwobdPi6cNKIpCfHw89u/fjwMHDiAvLw+TJ09GZGQkZs6cqRXYP378OJYsWYLdu3dj/vz5iI+PR3R0NG7cuIEzZ87wMTaebocXFx6ePghN00hJSeGEJiMjA5MmTUJkZCTMzMywYsUK/PDDD3jiiSd6+1SRm5uLTz/9FOfOnUNxcTFcXFzw9NNP47333tNKWsjLy8MLL7zQpLK+I2afPPoDH9Dn4emDEASBgIAABAQEYPXq1UhPT0d0dDS2b9+O5ORkbNmyRW/s5dPS0kBRFL777jt4eXkhJSUFy5YtQ11dHdfPiG9P3P/gVy48PP0ImqZx48YNjBo1Sq+3vjZt2oTt27cjOzsbAN+euD/Ctznm4elHEASB0aNH67WwAIwPm42NDfdvvj1x/4MXFx4enh4lKysLX3/9NVasWMHdxrcn7n/w4sKjN1y8eBFz5szh2gkfOnRI636aprF69Wq4uLjA2NgYERERuHPnTu+cLA9Wr14NgiBa/bt9+7bWcwoLCzF9+nQsWLAAS5cu1bqvpRbS+r4K42kePqDPozfU1dUhKCgIzz77LB555JEm92/cuBGbN2/Gzp074ePjg88++wxTpkxBenp6i/UePN3Hiy++2GbSQMOWyYWFhZg0aRJXX9UQJycn3LhxQ+u2yspKqNVq3j2ir0Lz8OghAOiDBw9y/6YoinZycqLXr1/P3aZQKGhLS0v622+/7YUz5OkI+fn5tLe3N71w4UJao9E0uf/EiRO0QCCgCwsLudv27NlDGxoa0tXV1T15qjw6gt8W4+kT5OTkoLi4GFOnTuVuMzQ0xMSJE3H16tVePDOetigsLERERATc3Nzw+eefo7S0FMXFxVqxlKlTp2LYsGFYtGgR4uPjcfbsWbzxxhtYtmwZnynWR+G3xXj6BOxA1Fy7gPv37/fGKfG0k9OnTyMzMxOZmZkYMGCA1n30P5UQQqEQx48fx8qVKzFu3DitIkqevgkvLjx9Cr5dQN9jyZIlWLJkSZuPc3d3x7Fjx7r/hHh6BH5bjKdP4OTkBAB8uwAenj4CLy48fYJBgwbByckJZ86c4W5TqVS4cOECxo4d24tnxsPD0xz8thiP3iCVSpGZmcn9OycnBwkJCbCxsYG7uztWrVqFtWvXwtvbG97e3li7di1MTEzw5JNP9uJZ8/DwNAfvLcajN8TExGDSpElNbl+8eDF27twJmqbx8ccf47vvvkNlZSVGjRqFrVu3wt/fvxfOloeHpzV4ceHh4eHh0Tl8zIWHh4eHR+fw4sLDw8PDo3N4ceHh4eHh0Tm8uPDw8LTK3Llz4e7uDiMjIzg7O2PRokUoLCzUekxeXh7mzJkDU1NT2NnZ4eWXX4ZKpeqlM+bRB3hx4eHpJOvWrcOIESNgbm4OBwcHREVFIT09XesxdD9oEzBp0iT8+eefXCvlrKwsPProo9z9bIviuro6XL58GXv27EF0dDRef/31Xjxrnl6n9zwzeXj6NtOmTaN//vlnOiUlhU5ISKBnzZpFu7u701KplHvM+vXraXNzczo6OppOTk6mH3/8cdrZ2ZmuqanpxTPvGocPH6YJgqBVKhVN0/WOxgUFBdxj/vjjD97R+F8OLy48PDpCIpHQAOgLFy7QNN0/2wSUl5fTjz32GD1u3Djutg8++IAODAzUelxFRQUNgD537lxPnyKPnsBvi/Hw6Ijq6moA4HrD96c2AW+//TZMTU1ha2uLvLw8HD58mLuPb1HM0xy8uPDw6ACapvHaa69h/PjxnGNAa20CenvQ7WiL4jfffBPx8fE4ffo0hEIhnnnmGc4uH+BbFPM0hfcW4+HRAS+++CKSkpJw+fLlJvfpY5uAjrYotrOzg52dHXx8fDB06FC4ubnh+vXrGDNmDN+imKdZeHHh4ekiL730Eo4cOYKLFy9qNcNq2CbA2dmZu10f2gSwYtEZ2BWLUqkEAIwZMwZr1qxBUVER9z5Pnz4NQ0NDhIWF6eaEefoc/LYYD08noWkaL774Ig4cOIBz585h0KBBWvf3hzYBN2/exDfffIOEhATcv38f58+fx5NPPglPT0+MGTMGAN+imKcFejObgIenL/N///d/tKWlJR0TE0MXFRVxfzKZjHvM+vXraUtLS/rAgQN0cnIy/cQTT/SpVOSkpCR60qRJtI2NDW1oaEh7eHjQK1asoPPz87Ued//+fXrWrFm0sbExbWNjQ7/44ou0QqHopbPm0Qd4V2Qenk7SUtzk559/5tr60nybAJ5/Kby48PDw8PDoHD7mwsPDw8Ojc3hx4eHh4eHROby48PDw8PDoHF5ceHh4eHh0Di8uPDw8PDw6hxcXHh4eHh6dw4sLDw8PD4/O4cWFh4eHh0fn8OLCw8PDw6NzeHHh4eHh4dE5vLjw8PDw8Oic/wf7T2wL6/WxjAAAAABJRU5ErkJggg==\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.342691pt\" version=\"1.1\" viewBox=\"0 0 293.26612 285.342691\" width=\"293.26612pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:46:13.820776</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.342691 \nL 293.26612 285.342691 \nL 293.26612 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 33.75871 209.808915 \nL 121.297151 135.815787 \nL 120.334285 29.420078 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 64.87229 219.97061 \nL 150.739713 144.373577 \nL 151.036907 37.202298 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.693595 230.363448 \nL 180.796008 153.109755 \nL 182.407443 45.153814 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 129.247051 240.995407 \nL 211.485429 162.029958 \nL 214.46793 53.280213 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 162.558219 251.874834 \nL 242.828193 171.140063 \nL 247.241381 61.587328 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 34.520932 209.164636 \nL 32.230999 211.100235 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(15.674768 233.100189)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 65.620644 219.311764 \nL 63.372337 221.291157 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(46.820187 243.477182)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 97.427251 229.689536 \nL 95.223067 231.714226 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(86.047841 254.091113)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 129.965129 240.305906 \nL 127.807708 242.377466 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(115.458928 264.950189)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 163.259793 251.169197 \nL 161.151922 253.289274 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(148.812833 276.063003)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 37.025736 83.938226 \nL 41.714633 195.609054 \nL 189.855179 243.094917 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 52.304131 72.78875 \nL 56.267308 183.410713 \nL 203.034979 229.5692 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 67.150676 61.954417 \nL 70.426213 171.542439 \nL 215.839658 216.42845 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.583426 51.422054 \nL 84.207115 159.991013 \nL 228.285006 203.656461 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 95.619442 41.179209 \nL 97.624953 148.743915 \nL 240.385939 191.237927 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.27486 31.214106 \nL 110.693888 137.789275 \nL 252.15656 179.158374 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 188.607315 242.694919 \nL 192.354107 243.895939 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(192.081774 264.001351)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 201.799577 229.180666 \nL 205.508907 230.347251 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(205.084699 250.275487)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 214.616518 216.050893 \nL 218.288985 217.184505 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(225.088416 236.940511)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 227.073931 203.289423 \nL 230.71013 204.39144 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(234.185086 223.97996)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 239.186735 190.880974 \nL 242.787252 191.952698 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(246.123034 211.378283)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 250.969034 178.811096 \nL 254.534449 179.85376 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(257.734937 199.120777)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.145512 154.078214 \nL 114.93894 113.753714 \nL 26.260353 186.247681 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.021553 134.947736 \nL 114.72608 95.242867 \nL 25.316301 166.643829 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.911246 115.519099 \nL 114.510063 76.457444 \nL 24.356968 146.722661 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.814915 95.785279 \nL 114.290817 57.39129 \nL 23.381981 126.476411 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.732891 75.739029 \nL 114.068271 38.038063 \nL 22.390952 105.897056 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.951531 153.739645 \nL 259.536339 154.756164 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.184088 159.112811)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 256.81799 134.614248 \nL 260.431587 135.615517 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.199311 140.020859)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 257.697947 115.190892 \nL 261.3408 116.176312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.230309 120.632264)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 258.591722 95.462561 \nL 262.264305 96.431508 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.277451 100.940057)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 259.499641 75.422015 \nL 263.202444 76.373842 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 50 -->\n     <g transform=\"translate(273.34112 80.937051)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_21\">\n    <path clip-path=\"url(#p423bba79b9)\" d=\"M 141.14834 191.239728 \nL 141.371056 190.433913 \nL 141.863913 189.826106 \nL 142.607878 189.309689 \nL 144.222174 188.545793 \nL 158.279047 182.77632 \nL 163.109261 180.481207 \nL 169.00912 177.416634 \nL 176.143566 173.313802 \nL 180.216589 170.769195 \nL 184.640013 167.83185 \nL 189.412905 164.450084 \nL 194.520957 160.571824 \nL 199.931314 156.148423 \nL 205.586237 151.140505 \nL 211.395651 145.5264 \nL 217.228931 139.313662 \nL 222.906731 132.553867 \nL 228.19427 125.360158 \nL 232.798521 117.925784 \nL 236.372718 110.539814 \nL 238.53253 103.593491 \nL 238.888273 97.56817 \nL 237.095599 92.994683 \nL 232.921778 90.377713 \nL 226.31582 90.089926 \nL 217.460732 92.259167 \nL 206.781669 96.690187 \nL 194.893036 102.865016 \nL 182.491901 110.039933 \nL 158.62581 124.281149 \nL 147.996372 130.172778 \nL 138.491606 134.850174 \nL 130.126737 138.280114 \nL 122.836965 140.561188 \nL 116.52104 141.856077 \nL 111.070414 142.342592 \nL 106.385263 142.185838 \nL 102.381313 141.526718 \nL 98.991183 140.480566 \nL 96.162871 139.140825 \nL 93.856962 137.584422 \nL 92.043415 135.877001 \nL 90.698342 134.077182 \nL 89.801008 132.239476 \nL 89.3312 130.415899 \nL 89.267036 128.656451 \nL 89.58335 127.008626 \nL 90.250659 125.51629 \nL 91.234801 124.218195 \nL 92.497173 123.146441 \nL 93.995528 122.325139 \nL 95.68517 121.769535 \nL 97.52044 121.4857 \nL 99.456243 121.470828 \nL 101.449528 121.714095 \nL 103.460541 122.197992 \nL 105.453776 122.899918 \nL 107.398594 123.793866 \nL 109.269508 124.85208 \nL 111.046162 126.046501 \nL 112.713081 127.349974 \nL 114.259246 128.737122 \nL 115.677557 130.184944 \nL 116.964252 131.67315 \nL 119.140892 134.703599 \nL 120.804011 137.720763 \nL 121.98791 140.654248 \nL 122.734444 143.462215 \nL 123.084827 146.12282 \nL 123.074499 148.627034 \nL 122.730266 150.973118 \nL 122.069011 153.162494 \nL 121.097434 155.196607 \nL 119.812448 157.074398 \nL 118.202043 158.789997 \nL 116.246587 160.330333 \nL 113.920713 161.672405 \nL 111.196104 162.779958 \nL 108.045725 163.599468 \nL 106.30429 163.878635 \nL 104.450232 164.055545 \nL 102.483902 164.116578 \nL 100.40756 164.046217 \nL 98.225908 163.826983 \nL 95.946729 163.439483 \nL 93.58159 162.862571 \nL 91.146613 162.073672 \nL 88.663285 161.049352 \nL 86.159252 159.766171 \nL 83.669023 158.201891 \nL 81.234502 156.337106 \nL 78.905179 154.157303 \nL 76.73787 151.655344 \nL 74.795766 148.834292 \nL 73.14669 145.71035 \nL 71.860387 142.31567 \nL 71.004831 138.700493 \nL 70.641691 134.934196 \nL 70.821229 131.104592 \nL 71.577168 127.315115 \nL 72.922207 123.679636 \nL 74.844939 120.315131 \nL 77.308861 117.332865 \nL 80.253812 114.82923 \nL 83.599889 112.877578 \nL 87.253349 111.522398 \nL 91.113632 110.776734 \nL 95.080519 110.623186 \nL 99.060467 111.018124 \nL 102.971401 111.898124 \nL 106.745676 113.187488 \nL 110.331205 114.805577 \nL 113.691117 116.673078 \nL 116.802341 118.716694 \nL 119.653591 120.872114 \nL 122.243117 123.085404 \nL 124.576517 125.31316 \nL 126.664761 127.521854 \nL 128.522507 129.686641 \nL 131.615622 133.820274 \nL 134.001773 137.63721 \nL 135.825231 141.118305 \nL 137.216524 144.275253 \nL 138.732526 148.460732 \nL 140.127857 153.172132 \nL 141.795894 158.78251 \nL 142.714607 161.053671 \nL 143.425201 162.389726 \nL 144.24643 163.585615 \nL 145.207638 164.638553 \nL 146.341374 165.54114 \nL 147.684743 166.28064 \nL 149.280673 166.837894 \nL 151.179063 167.185764 \nL 153.437714 167.287007 \nL 156.122776 167.091533 \nL 159.308299 166.532993 \nL 163.07409 165.524902 \nL 167.500603 163.956815 \nL 172.658864 161.691879 \nL 175.527804 160.248374 \nL 178.592442 158.56856 \nL 181.849041 156.630156 \nL 185.287557 154.411586 \nL 188.889755 151.893472 \nL 192.62705 149.060683 \nL 196.458073 145.905073 \nL 200.326123 142.428964 \nL 204.156689 138.649389 \nL 207.855412 134.602916 \nL 211.306975 130.350743 \nL 214.375598 125.983381 \nL 216.907966 121.623839 \nL 218.739446 117.42791 \nL 219.70431 113.579782 \nL 219.65017 110.281339 \nL 218.455878 107.734261 \nL 216.050891 106.115552 \nL 212.432569 105.549681 \nL 207.676997 106.082925 \nL 201.939076 107.667253 \nL 195.439796 110.160102 \nL 188.441881 113.342568 \nL 181.218924 116.952655 \nL 154.45782 130.977679 \nL 148.947302 133.664132 \nL 143.995336 135.938327 \nL 135.680744 139.389103 \nL 129.209256 141.728364 \nL 112.271261 147.46209 \nL 108.230205 148.942419 \nL 106.264316 149.501291 \nL 104.260511 149.887242 \nL 102.194261 150.05696 \nL 100.063815 149.966616 \nL 97.889719 149.574221 \nL 95.714893 148.842875 \nL 93.604525 147.745484 \nL 91.644739 146.27112 \nL 90.7531 145.395454 \nL 89.93886 144.43269 \nL 89.216437 143.389464 \nL 88.600201 142.274797 \nL 88.104009 141.100201 \nL 87.740724 139.879684 \nL 87.521669 138.629631 \nL 87.456103 137.368546 \nL 87.550722 136.116664 \nL 87.809211 134.895411 \nL 88.231912 133.726731 \nL 88.815619 132.632346 \nL 89.55353 131.632942 \nL 90.435369 130.747376 \nL 91.447674 129.991942 \nL 92.574243 129.379755 \nL 93.796703 128.920313 \nL 95.095158 128.619252 \nL 96.448882 128.478301 \nL 97.837001 128.495457 \nL 99.239116 128.665322 \nL 100.635869 128.979591 \nL 102.00937 129.427617 \nL 103.343528 129.997021 \nL 104.624258 130.6743 \nL 106.979555 132.29617 \nL 109.003887 134.182264 \nL 110.655396 136.231398 \nL 111.915657 138.358138 \nL 112.782816 140.494282 \nL 113.265215 142.587368 \nL 113.376202 144.597647 \nL 113.130347 146.494534 \nL 112.541058 148.253068 \nL 111.61943 149.850681 \nL 110.374228 151.264319 \nL 108.81287 152.467904 \nL 106.943415 153.430113 \nL 104.777583 154.112591 \nL 102.334878 154.468706 \nL 99.64788 154.443376 \nL 98.228073 154.268454 \nL 96.768592 153.974536 \nL 95.280113 153.553447 \nL 93.775399 152.997304 \nL 92.269451 152.298861 \nL 90.77964 151.451966 \nL 89.325737 150.45208 \nL 87.929854 149.296884 \nL 86.616235 147.986956 \nL 85.410888 146.526468 \nL 84.34104 144.923877 \nL 83.434368 143.192541 \nL 82.718035 141.351194 \nL 82.21757 139.424176 \nL 81.955589 137.441363 \nL 81.950479 135.437693 \nL 82.215138 133.452261 \nL 82.755866 131.526966 \nL 83.571549 129.704785 \nL 84.653264 128.027734 \nL 85.984322 126.534756 \nL 87.54084 125.259632 \nL 89.292778 124.229238 \nL 91.205353 123.462233 \nL 93.240718 122.968379 \nL 95.359733 122.748488 \nL 97.523668 122.795037 \nL 99.695727 123.093257 \nL 101.842256 123.622604 \nL 103.933616 124.358425 \nL 105.944702 125.273611 \nL 107.855119 126.340149 \nL 109.649095 127.530406 \nL 111.315188 128.818146 \nL 112.845839 130.179253 \nL 114.236853 131.592159 \nL 115.486839 133.038051 \nL 116.59667 134.50089 \nL 118.407588 137.426254 \nL 119.70341 140.288689 \nL 120.526642 143.03879 \nL 120.91993 145.648612 \nL 120.920603 148.104119 \nL 120.557591 150.399247 \nL 119.850046 152.531357 \nL 118.807119 154.497721 \nL 117.428547 156.292651 \nL 115.705879 157.90487 \nL 113.62433 159.314842 \nL 111.165453 160.491846 \nL 108.311016 161.39064 \nL 106.731153 161.716692 \nL 105.048595 161.947775 \nL 103.264018 162.072521 \nL 101.379643 162.078017 \nL 99.39967 161.949784 \nL 97.330781 161.671797 \nL 95.182704 161.22663 \nL 92.968817 160.595697 \nL 90.706782 159.759694 \nL 88.41918 158.699228 \nL 86.134075 157.395727 \nL 83.885469 155.832638 \nL 81.713512 153.996946 \nL 79.664402 151.881034 \nL 77.789821 149.484778 \nL 76.145778 146.817835 \nL 74.790781 143.901826 \nL 73.783259 140.77225 \nL 73.178302 137.479671 \nL 73.023846 134.089838 \nL 73.356654 130.682353 \nL 74.198466 127.347648 \nL 75.552907 124.182251 \nL 77.403643 121.282636 \nL 79.714214 118.73828 \nL 82.429735 116.624767 \nL 85.480351 114.997955 \nL 88.786044 113.890091 \nL 92.262135 113.30839 \nL 95.824759 113.23623 \nL 99.395663 113.636602 \nL 102.905846 114.457128 \nL 106.297833 115.635743 \nL 109.526625 117.106292 \nL 112.55952 118.803279 \nL 115.375123 120.665562 \nL 117.961862 122.638719 \nL 120.316281 124.676305 \nL 122.441329 126.740163 \nL 124.34477 128.800051 \nL 126.037797 130.832873 \nL 127.533861 132.821682 \nL 129.994759 136.623973 \nL 131.849362 140.156221 \nL 133.214159 143.408055 \nL 134.191984 146.391088 \nL 134.868803 149.1274 \nL 135.313471 151.642817 \nL 135.657576 155.057964 \nL 135.71956 158.113143 \nL 135.570505 160.874541 \nL 135.242441 163.395677 \nL 134.738038 165.719785 \nL 134.036148 167.88248 \nL 133.093708 169.913928 \nL 132.300127 171.208267 \nL 131.344661 172.462465 \nL 130.19508 173.681946 \nL 128.811997 174.870379 \nL 127.147651 176.028633 \nL 125.144596 177.153084 \nL 122.734401 178.232905 \nL 119.836677 179.245874 \nL 116.358984 180.151968 \nL 112.198635 180.883819 \nL 109.82882 181.15257 \nL 107.248253 181.33285 \nL 104.444793 181.40149 \nL 101.408145 181.330018 \nL 98.130993 181.083775 \nL 94.610497 180.621017 \nL 90.850222 179.892095 \nL 86.86258 178.838857 \nL 82.671817 177.394501 \nL 78.317561 175.484193 \nL 73.858807 173.026884 \nL 69.378103 169.938901 \nL 64.985436 166.139899 \nL 60.821022 161.561812 \nL 57.05581 156.161164 \nL 53.888223 149.934493 \nL 51.535499 142.935704 \nL 50.218352 135.292639 \nL 50.138747 127.218521 \nL 51.452441 119.01283 \nL 54.240578 111.046291 \nL 58.486759 103.727462 \nL 64.06678 97.453404 \nL 70.756277 92.553435 \nL 78.256625 89.239389 \nL 86.233858 87.576172 \nL 94.360859 87.480604 \nL 102.352825 88.747716 \nL 109.989112 91.095056 \nL 117.119942 94.211842 \nL 123.660896 97.801003 \nL 129.580318 101.607487 \nL 134.884563 105.431571 \nL 139.604496 109.130076 \nL 147.476543 115.81816 \nL 156.13444 123.674337 \nL 163.699705 130.493646 \nL 166.400461 132.706665 \nL 168.641368 134.320311 \nL 170.558188 135.448229 \nL 172.248224 136.179095 \nL 173.77722 136.582417 \nL 175.18512 136.71414 \nL 176.490848 136.621438 \nL 177.696386 136.346597 \nL 178.790387 135.92995 \nL 180.174133 135.127777 \nL 181.163943 134.23892 \nL 181.556653 133.669598 \nL 181.708227 133.167184 \nL 181.605317 132.768564 \nL 181.246971 132.503576 \nL 180.646393 132.392572 \nL 179.831102 132.444851 \nL 178.296437 132.822043 \nL 176.544239 133.511333 \nL 174.764933 134.430326 \nL 173.136374 135.483231 \nL 171.802449 136.577418 \nL 170.864004 137.631724 \nL 170.380081 138.577511 \nL 170.323071 139.118352 \nL 170.479495 139.568866 \nL 170.845028 139.914258 \nL 171.411339 140.14066 \nL 172.16622 140.235368 \nL 173.615125 140.10695 \nL 175.374694 139.631984 \nL 177.338977 138.805746 \nL 179.365768 137.655763 \nL 181.274701 136.253302 \nL 182.854896 134.720841 \nL 183.616831 133.709655 \nL 184.075337 132.774575 \nL 184.183278 131.975295 \nL 183.912291 131.366314 \nL 183.258122 130.990391 \nL 182.243461 130.873057 \nL 180.917311 131.019502 \nL 179.350678 131.414697 \nL 177.629276 132.026815 \nL 174.956788 133.256169 \nL 172.431788 134.716452 \nL 170.285788 136.261593 \nL 168.672945 137.776227 \nL 167.937006 138.725644 \nL 167.485967 139.602485 \nL 167.322166 140.38845 \nL 167.442411 141.066072 \nL 167.83976 141.61786 \nL 168.504602 142.025921 \nL 169.424982 142.271978 \nL 170.586219 142.337765 \nL 171.969849 142.205885 \nL 173.551981 141.861102 \nL 175.301163 141.292163 \nL 177.175956 140.494254 \nL 179.122511 139.472006 \nL 181.072614 138.242964 \nL 182.94289 136.841091 \nL 184.635984 135.319559 \nL 186.044652 133.751755 \nL 187.059416 132.229254 \nL 187.579881 130.85553 \nL 187.629275 130.257476 \nL 187.528682 129.735167 \nL 187.274364 129.299503 \nL 186.865644 128.959615 \nL 186.305124 128.722444 \nL 185.598741 128.592441 \nL 183.788222 128.658202 \nL 181.541721 129.138756 \nL 179.000747 129.978693 \nL 176.321781 131.098149 \nL 173.656823 132.408738 \nL 171.13785 133.82763 \nL 168.867728 135.286483 \nL 166.917766 136.734378 \nL 165.330413 138.136131 \nL 164.124891 139.468097 \nL 163.303834 140.71343 \nL 162.859521 141.858058 \nL 162.778978 142.887798 \nL 163.047688 143.786601 \nL 163.651898 144.535684 \nL 164.579682 145.113248 \nL 165.820899 145.494571 \nL 167.366155 145.652438 \nL 169.204816 145.557902 \nL 171.322095 145.181574 \nL 173.695137 144.495731 \nL 176.28818 143.477553 \nL 179.046915 142.113886 \nL 181.892549 140.407708 \nL 184.716514 138.386216 \nL 187.377529 136.109641 \nL 189.703317 133.678837 \nL 190.680266 132.449118 \nL 191.499838 131.238259 \nL 192.137494 130.070186 \nL 192.570273 128.970137 \nL 192.77789 127.963758 \nL 192.743882 127.076003 \nL 192.456727 126.329886 \nL 191.910825 125.745201 \nL 191.107249 125.337288 \nL 190.054158 125.116031 \nL 188.766814 125.085152 \nL 187.267157 125.241958 \nL 185.582938 125.577545 \nL 181.793292 126.722913 \nL 177.684107 128.361036 \nL 173.540712 130.30642 \nL 169.606166 132.390133 \nL 166.058039 134.485759 \nL 163.004336 136.515709 \nL 160.493055 138.442997 \nL 158.52803 140.256927 \nL 157.08535 141.959329 \nL 156.127175 143.554612 \nL 155.611922 145.044009 \nL 155.501013 146.4231 \nL 155.762839 147.681269 \nL 156.374701 148.802047 \nL 157.323341 149.763621 \nL 158.604505 150.539154 \nL 160.221776 151.096795 \nL 162.184754 151.399427 \nL 164.506468 151.404377 \nL 167.199743 151.063351 \nL 170.272122 150.323176 \nL 173.718808 149.128033 \nL 177.513101 147.424236 \nL 181.593978 145.16893 \nL 185.851182 142.3441 \nL 187.994071 140.724123 \nL 190.109458 138.976757 \nL 192.16319 137.116603 \nL 194.115974 135.164339 \nL 195.923696 133.147408 \nL 197.538165 131.100407 \nL 198.90836 129.065072 \nL 199.982232 127.089642 \nL 200.709107 125.227504 \nL 201.042593 123.534983 \nL 200.94386 122.068291 \nL 200.385055 120.879752 \nL 199.352425 120.013671 \nL 197.848782 119.502207 \nL 195.894837 119.361995 \nL 193.529082 119.591996 \nL 190.806073 120.1731 \nL 187.793202 121.06971 \nL 184.566312 122.233138 \nL 181.204698 123.606316 \nL 174.382745 126.743365 \nL 167.861837 130.04745 \nL 162.008844 133.217471 \nL 157.010938 136.109978 \nL 152.910808 138.703497 \nL 149.657202 141.043134 \nL 147.149866 143.194632 \nL 145.271442 145.21746 \nL 143.90691 147.154082 \nL 142.953779 149.029111 \nL 142.326313 150.852867 \nL 141.956254 152.625963 \nL 141.791708 154.343359 \nL 141.79521 155.997288 \nL 142.063454 158.34022 \nL 142.612939 160.492067 \nL 143.133431 161.806791 \nL 143.786007 163.015835 \nL 144.585339 164.109788 \nL 145.55236 165.077431 \nL 146.714488 165.904701 \nL 148.106076 166.573409 \nL 149.769041 167.059655 \nL 151.75353 167.331817 \nL 154.11845 167.348051 \nL 156.931524 167.053166 \nL 160.268329 166.37494 \nL 164.20941 165.220055 \nL 168.83398 163.470386 \nL 174.207942 160.981277 \nL 177.187999 159.407654 \nL 180.362967 157.585091 \nL 183.725884 155.491441 \nL 187.262471 153.106009 \nL 190.949093 150.411336 \nL 194.750419 147.395642 \nL 198.616891 144.055962 \nL 202.482176 140.402073 \nL 206.260863 136.461107 \nL 209.846838 132.282622 \nL 213.112946 127.9436 \nL 215.912726 123.552492 \nL 218.085044 119.251052 \nL 219.462493 115.212256 \nL 219.883998 111.632602 \nL 219.211418 108.717408 \nL 217.348714 106.658953 \nL 214.260779 105.609417 \nL 209.987852 105.6532 \nL 204.650865 106.785503 \nL 198.444505 108.904291 \nL 191.617508 111.820389 \nL 184.443715 115.284981 \nL 170.091148 122.797254 \nL 157.027255 129.659959 \nL 151.259076 132.535557 \nL 146.050578 134.992944 \nL 141.395437 137.049913 \nL 133.618634 140.143872 \nL 127.583103 142.244103 \nL 113.759469 146.810031 \nL 107.57401 149.042336 \nL 105.607073 149.545295 \nL 103.59567 149.863618 \nL 101.522126 149.954015 \nL 99.391286 149.773456 \nL 97.230187 149.281742 \nL 95.088065 148.445132 \nL 93.035902 147.241502 \nL 91.164397 145.667034 \nL 90.329043 144.746443 \nL 89.579267 143.743916 \nL 88.929255 142.667497 \nL 88.392858 141.527639 \nL 87.983123 140.337253 \nL 87.711784 139.111622 \nL 87.588734 137.86822 \nL 87.621531 136.626364 \nL 87.814931 135.406741 \nL 88.170531 134.230801 \nL 88.686501 133.12006 \nL 89.357496 132.095312 \nL 90.174693 131.175859 \nL 91.12603 130.378755 \nL 92.196567 129.718163 \nL 93.369011 129.204851 \nL 94.624313 128.845885 \nL 95.942339 128.644499 \nL 97.302539 128.60018 \nL 98.684587 128.708949 \nL 100.068955 128.96377 \nL 101.437392 129.355073 \nL 102.77329 129.871345 \nL 104.061925 130.499722 \nL 106.448677 132.037956 \nL 108.520437 133.859965 \nL 110.229904 135.863438 \nL 111.554185 137.960559 \nL 112.488122 140.080283 \nL 113.037892 142.167414 \nL 113.215651 144.179901 \nL 113.035539 146.085413 \nL 112.511046 147.857841 \nL 111.653661 149.474058 \nL 110.472642 150.910986 \nL 108.975824 152.143044 \nL 107.171396 153.1399 \nL 105.070718 153.86462 \nL 102.692203 154.272386 \nL 100.066337 154.310132 \nL 97.241755 153.91775 \nL 95.776768 153.540386 \nL 94.291995 153.031757 \nL 92.801594 152.384585 \nL 91.322009 151.592534 \nL 89.872025 150.650706 \nL 88.472738 149.556202 \nL 87.147393 148.308774 \nL 85.921084 146.911488 \nL 84.82025 145.371407 \nL 83.872001 143.70022 \nL 83.103242 141.914738 \nL 82.539612 140.037206 \nL 82.204289 138.095319 \nL 82.116704 136.121891 \nL 82.291293 134.154086 \nL 82.73636 132.232269 \nL 83.453186 130.3984 \nL 84.435506 128.694151 \nL 85.6694 127.158864 \nL 87.1337 125.827489 \nL 88.80084 124.728765 \nL 90.638121 123.88379 \nL 92.609274 123.305139 \nL 94.676167 122.99663 \nL 96.800497 122.953667 \nL 98.945345 123.164173 \nL 101.076476 123.609917 \nL 103.16329 124.268054 \nL 105.179464 125.112771 \nL 107.103243 126.116825 \nL 108.917435 127.252895 \nL 110.609204 128.494679 \nL 112.169683 129.817696 \nL 113.593488 131.199806 \nL 114.878192 132.621496 \nL 116.02378 134.065963 \nL 117.906565 136.968991 \nL 119.271496 139.823563 \nL 120.158829 142.57549 \nL 120.610391 145.193167 \nL 120.663676 147.659946 \nL 120.348418 149.967998 \nL 119.684944 152.113578 \nL 118.683783 154.093367 \nL 117.346134 155.901496 \nL 115.665015 157.526855 \nL 113.62706 158.950442 \nL 111.215128 160.142466 \nL 108.412066 161.059082 \nL 106.859792 161.395695 \nL 105.206151 161.638839 \nL 103.451803 161.777511 \nL 101.598885 161.79921 \nL 99.651433 161.68992 \nL 97.615867 161.43412 \nL 95.501528 161.01493 \nL 93.321261 160.414336 \nL 91.092033 159.613587 \nL 88.835538 158.593817 \nL 86.578757 157.336874 \nL 84.354399 155.826479 \nL 82.201135 154.049656 \nL 80.163523 151.998488 \nL 78.291514 149.672142 \nL 76.639391 147.079015 \nL 75.264073 144.238913 \nL 74.222711 141.184892 \nL 73.569604 137.964507 \nL 73.352583 134.640061 \nL 73.609122 131.287499 \nL 74.362598 127.993708 \nL 75.619172 124.852181 \nL 77.365824 121.957241 \nL 79.569938 119.397419 \nL 82.180668 117.24878 \nL 85.132024 115.569086 \nL 88.347319 114.393723 \nL 91.744416 113.73392 \nL 95.241043 113.577494 \nL 98.759575 113.89181 \nL 102.230772 114.628404 \nL 105.596228 115.728386 \nL 108.809521 117.127854 \nL 111.836259 118.762708 \nL 114.653254 120.572364 \nL 117.247181 122.502342 \nL 119.612968 124.505666 \nL 121.75213 126.543351 \nL 123.671201 128.584186 \nL 125.380349 130.604057 \nL 126.892192 132.585036 \nL 129.381116 136.383538 \nL 131.256161 139.923093 \nL 132.631706 143.18914 \nL 133.609452 146.190541 \nL 134.274738 148.94768 \nL 134.69597 151.485423 \nL 134.981412 154.935954 \nL 134.953898 158.028618 \nL 134.679678 160.830161 \nL 134.183285 163.395045 \nL 133.45654 165.767396 \nL 132.463259 167.983207 \nL 131.622875 169.388154 \nL 130.610536 170.743657 \nL 129.393815 172.055051 \nL 127.932901 173.325349 \nL 126.179538 174.554087 \nL 124.075891 175.735428 \nL 121.553542 176.855187 \nL 118.53295 177.886263 \nL 114.924056 178.781782 \nL 110.629203 179.46504 \nL 108.193594 179.691538 \nL 105.550388 179.815256 \nL 102.689709 179.811073 \nL 99.604161 179.648464 \nL 96.290097 179.290717 \nL 92.749238 178.6942 \nL 88.990735 177.807783 \nL 85.033686 176.572605 \nL 80.910152 174.922428 \nL 76.668579 172.784915 \nL 72.377476 170.0843 \nL 68.128972 166.745913 \nL 64.041671 162.703155 \nL 60.26193 157.907251 \nL 56.962331 152.339846 \nL 54.336036 146.027714 \nL 52.585758 139.057857 \nL 51.906693 131.589856 \nL 52.464138 123.86119 \nL 54.368365 116.180825 \nL 57.651443 108.907651 \nL 62.251993 102.41365 \nL 68.013387 97.036685 \nL 74.698045 93.032657 \nL 82.015895 90.538956 \nL 89.660681 89.559092 \nL 97.345365 89.972132 \nL 104.82902 91.562878 \nL 111.931166 94.063248 \nL 118.533724 97.193618 \nL 124.573942 100.695647 \nL 130.032645 104.35263 \nL 134.9216 107.997619 \nL 139.27236 111.512351 \nL 146.535106 117.879661 \nL 154.550294 125.452736 \nL 161.648779 132.214079 \nL 164.254315 134.476556 \nL 166.48412 136.15921 \nL 168.471635 137.355657 \nL 170.313269 138.137556 \nL 172.074211 138.559614 \nL 173.793105 138.664721 \nL 175.485681 138.488713 \nL 177.147535 138.064701 \nL 178.756451 137.426955 \nL 180.274687 136.614209 \nL 181.651747 135.672186 \nL 182.828128 134.654953 \nL 183.740386 133.62458 \nL 184.327657 132.648783 \nL 184.539247 131.796381 \nL 184.342432 131.130959 \nL 184.087252 130.885048 \nL 183.271613 130.590524 \nL 182.081463 130.574692 \nL 180.579557 130.835807 \nL 178.850029 131.350494 \nL 176.041148 132.507715 \nL 173.264863 133.97569 \nL 170.799373 135.588223 \nL 168.841364 137.210045 \nL 167.876782 138.246157 \nL 167.205519 139.219267 \nL 166.833665 140.110159 \nL 166.760237 140.901143 \nL 166.979618 141.574809 \nL 167.483246 142.113264 \nL 168.260501 142.497845 \nL 169.298793 142.709267 \nL 170.582895 142.728151 \nL 172.093566 142.536017 \nL 173.805564 142.116776 \nL 175.685131 141.458829 \nL 177.687204 140.557873 \nL 179.75267 139.420367 \nL 181.806215 138.067493 \nL 183.755612 136.539109 \nL 185.493393 134.896755 \nL 186.901999 133.224425 \nL 187.863128 131.62554 \nL 188.141962 130.889398 \nL 188.271195 130.21488 \nL 188.242272 129.615923 \nL 188.049453 129.105287 \nL 187.69024 128.694016 \nL 187.165665 128.390914 \nL 186.480468 128.202132 \nL 185.643077 128.130862 \nL 183.562672 128.33824 \nL 181.054781 128.978812 \nL 178.28142 129.980183 \nL 175.413978 131.248393 \nL 172.612054 132.686267 \nL 170.008183 134.20792 \nL 167.700412 135.746456 \nL 165.75212 137.25495 \nL 164.196799 138.702905 \nL 163.045237 140.070799 \nL 162.293035 141.344771 \nL 161.927224 142.512468 \nL 161.93137 143.560375 \nL 162.289099 144.472281 \nL 162.986144 145.228648 \nL 164.011105 145.806472 \nL 165.355125 146.179447 \nL 167.01057 146.318407 \nL 168.968749 146.192084 \nL 171.216655 145.768423 \nL 173.73262 145.016784 \nL 176.480894 143.911439 \nL 179.405291 142.436815 \nL 182.422374 140.594799 \nL 185.415295 138.413979 \nL 188.230162 135.959896 \nL 190.677771 133.343998 \nL 191.697408 132.023845 \nL 192.544027 130.727321 \nL 193.190575 129.481197 \nL 193.611851 128.313681 \nL 193.785789 127.253331 \nL 193.694785 126.327752 \nL 193.326985 125.562115 \nL 192.677397 124.977654 \nL 191.74871 124.590249 \nL 190.5517 124.409292 \nL 189.105133 124.436979 \nL 187.435164 124.668097 \nL 185.574213 125.090447 \nL 183.559433 125.685803 \nL 179.229751 127.301265 \nL 174.768375 129.307353 \nL 170.461699 131.503551 \nL 166.526422 133.733447 \nL 163.099275 135.898301 \nL 160.245094 137.95057 \nL 157.974348 139.877503 \nL 156.262481 141.684032 \nL 155.066581 143.37983 \nL 154.337822 144.971715 \nL 154.02974 146.460256 \nL 154.103159 147.83905 \nL 154.528683 149.095235 \nL 155.287562 150.210272 \nL 156.3715 151.160542 \nL 157.78178 151.917502 \nL 159.527851 152.447438 \nL 161.625371 152.710917 \nL 164.093514 152.662151 \nL 166.951173 152.24867 \nL 170.211543 151.411821 \nL 173.874421 150.088958 \nL 177.915519 148.218587 \nL 182.27229 145.750023 \nL 184.534808 144.282341 \nL 186.826522 142.659484 \nL 189.120849 140.886578 \nL 191.385493 138.973805 \nL 193.582144 136.937458 \nL 195.66646 134.800948 \nL 197.588436 132.595648 \nL 199.293267 130.361402 \nL 200.722844 128.146495 \nL 201.817951 126.006872 \nL 202.521186 124.004426 \nL 202.780519 122.204213 \nL 202.553315 120.670584 \nL 201.810424 119.462476 \nL 200.539907 118.628261 \nL 198.74979 118.200775 \nL 196.469335 118.193402 \nL 193.748411 118.597923 \nL 190.654845 119.384697 \nL 187.269973 120.505382 \nL 183.682941 121.897809 \nL 176.261322 125.218194 \nL 169.039073 128.811664 \nL 159.54077 133.9006 \nL 154.395446 136.86017 \nL 150.223606 139.472569 \nL 146.937689 141.811928 \nL 144.409011 143.962333 \nL 142.499594 145.992558 \nL 141.079936 147.948661 \nL 140.037271 149.855986 \nL 139.278093 151.724676 \nL 138.511646 154.455217 \nL 138.032311 157.083798 \nL 137.556078 161.186436 \nL 136.744689 168.838616 \nL 136.29357 171.187665 \nL 135.651969 173.351937 \nL 134.989298 174.877317 \nL 134.110579 176.339082 \nL 132.941188 177.7565 \nL 131.380523 179.148454 \nL 130.057498 180.07016 \nL 128.450117 180.989931 \nL 126.496361 181.906516 \nL 124.121456 182.812349 \nL 121.236177 183.689291 \nL 117.73578 184.501935 \nL 113.500615 185.187275 \nL 108.400283 185.639152 \nL 105.484505 185.72717 \nL 102.304778 185.685626 \nL 98.848812 185.477652 \nL 95.108443 185.057965 \nL 91.081772 184.371588 \nL 86.775957 183.352719 \nL 82.210757 181.923975 \nL 77.422904 179.996385 \nL 72.471248 177.470703 \nL 67.442479 174.24075 \nL 62.456899 170.19973 \nL 57.673308 165.250528 \nL 53.291465 159.320829 \nL 49.550058 152.383228 \nL 46.71762 144.479273 \nL 45.074101 135.744106 \nL 44.882048 126.425727 \nL 46.349065 116.89057 \nL 49.587351 107.606639 \nL 54.579945 99.098967 \nL 61.165131 91.880195 \nL 69.04747 86.369662 \nL 77.836275 82.822389 \nL 87.102543 81.289673 \nL 96.438701 81.623283 \nL 105.505477 83.519911 \nL 114.056618 86.589145 \nL 121.941203 90.423541 \nL 129.089938 94.653608 \nL 135.494062 98.979953 \nL 141.184066 103.183672 \nL 150.640234 110.710998 \nL 163.559659 121.296986 \nL 169.598681 125.910635 \nL 173.550557 128.64781 \nL 177.313959 131.185744 \nL 177.699065 131.643327 \nL 177.76504 132.043539 \nL 177.570137 132.434092 \nL 176.909972 133.063747 \nL 173.314516 136.000719 \nL 172.460191 137.08451 \nL 172.177346 137.790633 \nL 172.237057 138.355654 \nL 172.470304 138.634255 \nL 172.853932 138.822211 \nL 173.691739 138.915149 \nL 174.80198 138.762418 \nL 176.116851 138.355275 \nL 177.545278 137.703859 \nL 178.972782 136.843094 \nL 180.265088 135.837191 \nL 181.277954 134.780032 \nL 181.874697 133.788443 \nL 181.98728 133.225531 \nL 181.848809 132.781412 \nL 181.455154 132.483956 \nL 180.81774 132.351937 \nL 179.963509 132.393188 \nL 178.367444 132.769195 \nL 176.553672 133.470868 \nL 174.717343 134.410483 \nL 173.040406 135.487824 \nL 171.669319 136.607137 \nL 170.705901 137.685388 \nL 170.209006 138.652876 \nL 170.149651 139.206572 \nL 170.308482 139.668411 \nL 170.680948 140.023346 \nL 171.258551 140.257208 \nL 172.028966 140.356916 \nL 172.975777 140.31099 \nL 174.679039 139.950071 \nL 176.634534 139.227334 \nL 178.711035 138.157034 \nL 180.737392 136.794543 \nL 182.505891 135.24659 \nL 183.429315 134.188666 \nL 184.071324 133.176751 \nL 184.375349 132.273053 \nL 184.300777 131.53791 \nL 184.114817 131.250209 \nL 183.829434 131.022949 \nL 182.970139 130.7645 \nL 181.760042 130.778839 \nL 180.262031 131.060503 \nL 178.558507 131.584239 \nL 175.822286 132.733706 \nL 173.144928 134.173171 \nL 170.788621 135.743857 \nL 168.937422 137.316705 \nL 168.038669 138.318075 \nL 167.427373 139.255361 \nL 167.109018 140.10948 \nL 167.082414 140.86273 \nL 167.34191 141.497676 \nL 167.878893 141.996477 \nL 168.68253 142.340705 \nL 169.739729 142.511537 \nL 171.034405 142.490376 \nL 172.546057 142.259892 \nL 174.247797 141.805607 \nL 176.103907 141.118042 \nL 178.067216 140.195541 \nL 180.076638 139.047681 \nL 182.055456 137.699014 \nL 183.911164 136.192624 \nL 185.537807 134.592526 \nL 186.821759 132.983602 \nL 187.65146 131.467722 \nL 187.864909 130.779109 \nL 187.930791 130.155031 \nL 187.842017 129.608354 \nL 187.594339 129.150633 \nL 187.186701 128.791601 \nL 186.621463 128.538727 \nL 185.904498 128.396858 \nL 185.045129 128.368007 \nL 182.952145 128.642999 \nL 180.473489 129.324604 \nL 177.766714 130.340091 \nL 174.994906 131.5991 \nL 172.307566 133.010344 \nL 169.827325 134.494225 \nL 167.64399 135.989081 \nL 165.81505 137.451474 \nL 164.370488 138.852651 \nL 163.319573 140.17348 \nL 162.657836 141.399641 \nL 162.373101 142.517937 \nL 162.450136 143.513908 \nL 162.87378 144.370512 \nL 163.630706 145.067558 \nL 164.709954 145.581643 \nL 166.10243 145.886365 \nL 167.799405 145.952876 \nL 169.790087 145.750783 \nL 172.058202 145.249704 \nL 174.577541 144.421783 \nL 177.306548 143.245545 \nL 180.182142 141.711471 \nL 183.113461 139.829493 \nL 185.976756 137.638028 \nL 188.61348 135.213324 \nL 190.83436 132.676513 \nL 191.724301 131.416551 \nL 192.432467 130.194217 \nL 192.934184 129.035743 \nL 193.207255 127.968094 \nL 193.233189 127.017838 \nL 192.998402 126.209855 \nL 192.49534 125.565936 \nL 191.723343 125.103437 \nL 190.689203 124.834128 \nL 189.407285 124.763322 \nL 187.899174 124.889505 \nL 186.192857 125.204428 \nL 184.321478 125.693763 \nL 180.232375 127.114912 \nL 175.93797 128.965758 \nL 171.722867 131.052601 \nL 167.813326 133.214526 \nL 164.361765 135.34204 \nL 161.449951 137.375762 \nL 159.103314 139.29328 \nL 157.308836 141.093179 \nL 156.031566 142.781817 \nL 155.227528 144.364782 \nL 154.852709 145.842622 \nL 154.868646 147.209426 \nL 155.245486 148.45292 \nL 155.96324 149.555072 \nL 157.011864 150.492647 \nL 158.390512 151.237438 \nL 160.106185 151.756121 \nL 162.171754 152.009853 \nL 164.603211 151.953847 \nL 167.415812 151.537243 \nL 170.618631 150.703878 \nL 174.206937 149.394732 \nL 178.151775 147.553297 \nL 182.386423 145.135248 \nL 186.790112 142.124121 \nL 188.99859 140.404046 \nL 191.171002 138.553855 \nL 193.270087 136.590301 \nL 195.253084 134.536849 \nL 197.072175 132.424403 \nL 198.675397 130.29164 \nL 200.00813 128.184857 \nL 201.015219 126.157107 \nL 201.643735 124.266495 \nL 201.84629 122.573474 \nL 201.584689 121.137277 \nL 200.833612 120.011593 \nL 199.583866 119.239938 \nL 197.844753 118.851329 \nL 195.64503 118.856894 \nL 193.032197 119.248112 \nL 190.069996 119.997174 \nL 186.834328 121.059484 \nL 183.408113 122.378081 \nL 176.317887 125.528294 \nL 169.405215 128.957673 \nL 163.111123 132.297782 \nL 157.679355 135.354265 \nL 153.18561 138.080232 \nL 149.591725 140.516052 \nL 146.797385 142.734163 \nL 144.678003 144.804461 \nL 143.10821 146.779241 \nL 141.974387 148.690676 \nL 141.18005 150.554227 \nL 140.647024 152.373799 \nL 140.314343 154.146428 \nL 140.094181 156.703374 \nL 140.120904 159.116573 \nL 140.338556 161.365047 \nL 140.726067 163.432599 \nL 141.288864 165.306262 \nL 142.054522 166.973193 \nL 142.700837 167.961727 \nL 143.47853 168.844412 \nL 144.412661 169.612083 \nL 145.534069 170.252253 \nL 146.880285 170.747917 \nL 148.496571 171.076012 \nL 150.437036 171.205376 \nL 152.765655 171.094095 \nL 155.556927 170.686065 \nL 158.895636 169.906709 \nL 162.874832 168.657939 \nL 167.590488 166.812894 \nL 173.130349 164.211932 \nL 176.229701 162.569079 \nL 179.553194 160.663167 \nL 183.097829 158.467015 \nL 186.853247 155.953952 \nL 190.799385 153.099618 \nL 194.903712 149.884524 \nL 199.118109 146.297532 \nL 203.375534 142.340359 \nL 207.586731 138.033147 \nL 211.637477 133.420925 \nL 215.387061 128.580464 \nL 218.668935 123.626574 \nL 221.294742 118.716326 \nL 223.063 114.048983 \nL 223.773422 109.859071 \nL 223.247089 106.400167 \nL 221.351184 103.918303 \nL 218.024874 102.616549 \nL 213.300693 102.616461 \nL 207.314696 103.925873 \nL 200.299754 106.424229 \nL 192.560571 109.873478 \nL 184.434797 113.954875 \nL 153.798082 130.309796 \nL 147.479657 133.384229 \nL 141.81818 135.920446 \nL 136.793142 137.955286 \nL 132.361422 139.552043 \nL 128.468324 140.784045 \nL 122.063964 142.435707 \nL 117.133838 143.386486 \nL 111.6972 144.152157 \nL 105.730281 144.726297 \nL 103.130452 144.822096 \nL 100.912153 144.696512 \nL 98.955068 144.295154 \nL 97.781391 143.855045 \nL 96.723629 143.272828 \nL 95.802365 142.554515 \nL 95.043963 141.7158 \nL 94.476683 140.782547 \nL 94.126666 139.79042 \nL 94.013966 138.783428 \nL 94.149045 137.811321 \nL 94.530094 136.925873 \nL 95.141702 136.176484 \nL 95.955045 135.605694 \nL 96.929691 135.245306 \nL 98.016687 135.11378 \nL 99.162427 135.215316 \nL 100.312668 135.540544 \nL 101.416111 136.068637 \nL 102.427145 136.770205 \nL 103.30756 137.610454 \nL 104.027274 138.552067 \nL 104.564239 139.557518 \nL 104.903797 140.590641 \nL 105.037778 141.617519 \nL 104.963545 142.606785 \nL 104.683192 143.529516 \nL 104.203 144.35888 \nL 103.533221 145.069702 \nL 102.688222 145.638108 \nL 101.686935 146.041371 \nL 100.553571 146.258062 \nL 99.318466 146.268689 \nL 98.018902 146.056831 \nL 96.699639 145.610907 \nL 95.412905 144.926545 \nL 94.217457 144.009376 \nL 93.176423 142.877972 \nL 92.3537 141.566359 \nL 91.808946 140.125385 \nL 91.59151 138.622102 \nL 91.734142 137.136533 \nL 92.247583 135.755687 \nL 93.117311 134.565292 \nL 94.303376 133.640594 \nL 95.743701 133.038039 \nL 97.360297 132.789602 \nL 99.067205 132.900877 \nL 100.778628 133.353066 \nL 102.415788 134.107967 \nL 103.911691 135.114535 \nL 105.213467 136.315463 \nL 106.282604 137.652709 \nL 107.093657 139.07138 \nL 107.632078 140.521863 \nL 107.89178 141.960546 \nL 107.872888 143.349454 \nL 107.57991 144.655216 \nL 107.020559 145.847728 \nL 106.205221 146.89875 \nL 105.14712 147.780596 \nL 103.863142 148.465111 \nL 102.375262 148.923085 \nL 100.712476 149.124243 \nL 98.913107 149.038107 \nL 97.027159 148.635906 \nL 95.118339 147.89386 \nL 93.265085 146.797916 \nL 91.55979 145.349858 \nL 90.105356 143.574169 \nL 89.505633 142.578934 \nL 89.008349 141.524423 \nL 88.625687 140.422531 \nL 88.368598 139.28723 \nL 88.246357 138.134386 \nL 88.266132 136.981483 \nL 88.432586 135.847206 \nL 88.747572 134.750932 \nL 89.209895 133.712132 \nL 89.815222 132.749703 \nL 90.556102 131.8813 \nL 91.422154 131.12268 \nL 92.400361 130.487142 \nL 93.475505 129.985059 \nL 94.630675 129.623583 \nL 95.847834 129.406503 \nL 97.108404 129.334277 \nL 98.393835 129.404216 \nL 99.686127 129.610825 \nL 100.968258 129.946212 \nL 102.224549 130.400584 \nL 104.60501 131.620657 \nL 106.736091 133.1736 \nL 108.5547 134.96099 \nL 110.023101 136.89276 \nL 111.123773 138.8921 \nL 111.85362 140.896659 \nL 112.218597 142.857312 \nL 112.229347 144.735625 \nL 111.89804 146.500812 \nL 111.236414 148.12665 \nL 110.254977 149.588627 \nL 108.963233 150.861383 \nL 107.370894 151.916484 \nL 105.490035 152.720566 \nL 103.338257 153.234025 \nL 100.942822 153.410465 \nL 98.345743 153.197415 \nL 96.990152 152.927374 \nL 95.609503 152.538996 \nL 94.215744 152.025656 \nL 92.822765 151.38141 \nL 91.446472 150.601357 \nL 90.1048 149.682115 \nL 88.817633 148.622306 \nL 87.606612 147.423134 \nL 86.494798 146.08894 \nL 85.506194 144.627777 \nL 84.665088 143.051878 \nL 83.995254 141.378027 \nL 83.519003 139.62773 \nL 83.256133 137.827136 \nL 83.222848 136.006619 \nL 83.430714 134.200055 \nL 83.885745 132.443725 \nL 84.587719 130.77491 \nL 85.529798 129.230272 \nL 86.698524 127.844101 \nL 88.074221 126.646643 \nL 89.631764 125.662589 \nL 91.341694 124.909945 \nL 93.171539 124.399364 \nL 95.087259 124.133954 \nL 97.05468 124.109616 \nL 99.040798 124.31583 \nL 101.014877 124.736735 \nL 102.949288 125.352452 \nL 104.820052 126.140421 \nL 106.607118 127.076703 \nL 108.294405 128.137138 \nL 109.869641 129.298284 \nL 111.324053 130.53812 \nL 112.651986 131.836541 \nL 113.850452 133.175629 \nL 115.857632 135.915547 \nL 117.35807 138.659249 \nL 118.380161 141.339209 \nL 118.958472 143.912084 \nL 119.12689 146.351636 \nL 118.914278 148.642522 \nL 118.342072 150.775272 \nL 117.423336 152.742244 \nL 116.162879 154.534352 \nL 114.558218 156.138164 \nL 112.601307 157.533171 \nL 110.281176 158.688957 \nL 107.587712 159.562242 \nL 106.099337 159.875159 \nL 104.517038 160.093865 \nL 102.842534 160.208046 \nL 101.079012 160.206117 \nL 99.231514 160.075247 \nL 97.307362 159.801425 \nL 95.316636 159.369615 \nL 93.272661 158.764049 \nL 91.192525 157.968636 \nL 89.097546 156.967571 \nL 87.013693 155.746144 \nL 84.97187 154.291788 \nL 83.007988 152.595368 \nL 81.16278 150.652701 \nL 79.481192 148.466234 \nL 78.011345 146.046816 \nL 76.802946 143.415342 \nL 75.905144 140.604122 \nL 75.363886 137.657642 \nL 75.218895 134.632486 \nL 75.500526 131.596129 \nL 76.226793 128.62448 \nL 77.400982 125.798154 \nL 79.010214 123.197727 \nL 81.025265 120.898385 \nL 83.401757 118.964601 \nL 86.082713 117.445581 \nL 89.00214 116.372027 \nL 92.089243 115.754734 \nL 95.272725 115.585095 \nL 98.484701 115.837364 \nL 101.663833 116.472196 \nL 104.757487 117.440913 \nL 107.722873 118.689841 \nL 110.527287 120.164245 \nL 113.147619 121.81151 \nL 115.56939 123.583443 \nL 117.785508 125.437653 \nL 119.794933 127.338198 \nL 121.601365 129.255592 \nL 123.212053 131.166418 \nL 124.636743 133.05269 \nL 126.974521 136.702184 \nL 128.713312 140.139869 \nL 129.951143 143.342285 \nL 130.776231 146.310135 \nL 131.262597 149.057091 \nL 131.468688 151.602813 \nL 131.437755 153.968797 \nL 131.199059 156.176038 \nL 130.769351 158.243807 \nL 130.154287 160.189007 \nL 129.349577 162.025863 \nL 128.341791 163.765635 \nL 127.108818 165.416259 \nL 125.620016 166.981694 \nL 123.836153 168.460797 \nL 121.709291 169.845514 \nL 119.182881 171.118056 \nL 116.192504 172.246714 \nL 112.66793 173.179788 \nL 108.53768 173.837157 \nL 106.224786 174.026953 \nL 103.737821 174.099123 \nL 101.072539 174.030285 \nL 98.227658 173.792823 \nL 95.205996 173.354492 \nL 92.015839 172.678164 \nL 88.672604 171.721806 \nL 85.200741 170.438835 \nL 81.635877 168.779063 \nL 78.027057 166.69043 \nL 74.438902 164.12182 \nL 70.953339 161.027211 \nL 67.670484 157.37133 \nL 64.708041 153.136895 \nL 62.198526 148.333051 \nL 60.283682 143.004324 \nL 59.105591 137.238658 \nL 58.794583 131.172568 \nL 59.454784 124.991094 \nL 61.149174 118.920371 \nL 63.886866 113.211706 \nL 67.615708 108.118036 \nL 72.222721 103.865866 \nL 77.543327 100.627982 \nL 83.37817 98.502897 \nL 89.514252 97.50573 \nL 95.746088 97.572257 \nL 101.892962 98.574563 \nL 107.809802 100.343643 \nL 113.391244 102.693642 \nL 118.570022 105.442848 \nL 123.311682 108.428791 \nL 127.607649 111.516599 \nL 131.468223 114.601618 \nL 134.916434 117.60782 \nL 137.983138 120.483865 \nL 143.113759 125.734224 \nL 147.149848 130.254651 \nL 156.282597 140.977355 \nL 158.25417 142.870553 \nL 160.190611 144.340813 \nL 162.182664 145.416349 \nL 164.300096 146.111309 \nL 166.594458 146.427726 \nL 169.100195 146.357851 \nL 171.833905 145.887183 \nL 174.791622 144.998547 \nL 177.944164 143.677867 \nL 181.230896 141.922135 \nL 184.552772 139.749907 \nL 187.766465 137.213977 \nL 190.682507 134.414443 \nL 191.958363 132.962594 \nL 193.071469 131.508428 \nL 193.989967 130.080567 \nL 194.682674 128.710375 \nL 195.120505 127.430975 \nL 195.278058 126.275899 \nL 195.135259 125.277443 \nL 194.678976 124.464817 \nL 193.904369 123.862243 \nL 192.815879 123.487186 \nL 191.427667 123.348985 \nL 189.763411 123.448028 \nL 187.855406 123.775666 \nL 185.743057 124.314897 \nL 183.470854 125.041747 \nL 178.636352 126.939674 \nL 173.722004 129.217935 \nL 169.043294 131.646402 \nL 164.825735 134.057949 \nL 161.199131 136.358184 \nL 158.212439 138.511804 \nL 155.857235 140.519823 \nL 154.090916 142.398812 \nL 152.855268 144.16679 \nL 152.089454 145.835921 \nL 151.738102 147.410042 \nL 151.755754 148.884911 \nL 152.108838 150.249432 \nL 152.77611 151.486952 \nL 153.748209 152.576121 \nL 155.026719 153.491114 \nL 156.622936 154.201344 \nL 158.556344 154.670633 \nL 160.852668 154.856121 \nL 163.541161 154.707107 \nL 166.650657 154.164205 \nL 170.203659 153.159479 \nL 174.20758 151.618541 \nL 178.64212 149.466208 \nL 181.002794 148.139711 \nL 183.441968 146.63794 \nL 185.940835 144.95773 \nL 188.474849 143.099628 \nL 191.012964 141.069107 \nL 193.516989 138.877901 \nL 195.941158 136.545445 \nL 198.23206 134.100229 \nL 200.329075 131.58097 \nL 202.165519 129.037299 \nL 203.670629 126.529704 \nL 204.77253 124.128416 \nL 205.40222 121.910925 \nL 205.498404 119.957982 \nL 205.01293 118.348068 \nL 203.916209 117.150751 \nL 202.201914 116.419582 \nL 199.89011 116.185611 \nL 197.028068 116.452765 \nL 193.688278 117.196114 \nL 189.963675 118.363778 \nL 185.960628 119.882314 \nL 181.790721 121.664784 \nL 173.374812 125.661432 \nL 165.437405 129.718861 \nL 155.350146 135.112314 \nL 150.039508 138.101887 \nL 145.800211 140.682554 \nL 142.486458 142.973523 \nL 139.927288 145.083285 \nL 137.955733 147.090378 \nL 136.422661 149.042461 \nL 135.201473 150.963045 \nL 133.731689 153.798644 \nL 130.728835 160.129688 \nL 129.201145 162.67168 \nL 127.995505 164.297334 \nL 126.590923 165.86266 \nL 124.941764 167.36153 \nL 122.997539 168.784216 \nL 120.701773 170.114749 \nL 117.991525 171.327222 \nL 114.798031 172.38063 \nL 111.049227 173.211755 \nL 108.944476 173.515839 \nL 106.675477 173.725626 \nL 104.23569 173.822289 \nL 101.620514 173.783385 \nL 98.828126 173.582404 \nL 95.860537 173.188378 \nL 92.724902 172.565597 \nL 89.435085 171.673548 \nL 86.013487 170.467193 \nL 82.49309 168.897773 \nL 78.91965 166.914366 \nL 75.353814 164.466419 \nL 71.872931 161.507554 \nL 68.572074 158.000804 \nL 65.563771 153.925387 \nL 62.975759 149.284756 \nL 60.946092 144.115288 \nL 59.615122 138.494409 \nL 59.114288 132.546328 \nL 59.552404 126.443185 \nL 61.001003 120.399413 \nL 63.481243 114.657977 \nL 66.955361 109.468855 \nL 71.325299 105.062314 \nL 76.439799 101.621734 \nL 82.109323 99.261681 \nL 88.126002 98.016199 \nL 94.28461 97.839873 \nL 100.400532 98.620651 \nL 106.321983 100.200702 \nL 111.93555 102.400002 \nL 117.165867 105.0379 \nL 121.971211 107.949339 \nL 126.337017 110.994624 \nL 130.268987 114.063297 \nL 133.786824 117.073496 \nL 136.919125 119.968613 \nL 142.163762 125.285549 \nL 146.287639 129.891217 \nL 152.23575 137.061542 \nL 155.54111 140.924469 \nL 157.507337 142.901538 \nL 159.427091 144.454643 \nL 161.394422 145.613216 \nL 163.482465 146.392445 \nL 165.746439 146.795004 \nL 168.225043 146.813136 \nL 170.940028 146.43133 \nL 173.893759 145.630036 \nL 177.064713 144.390898 \nL 180.401147 142.704281 \nL 183.813609 140.579434 \nL 187.167834 138.057344 \nL 190.2807 135.224919 \nL 191.676594 133.735188 \nL 192.923393 132.227243 \nL 193.98783 130.729054 \nL 194.836541 129.271998 \nL 195.437441 127.890015 \nL 195.761327 126.618386 \nL 195.783625 125.492136 \nL 195.486173 124.544147 \nL 194.858845 123.80311 \nL 193.900866 123.291492 \nL 192.621625 123.023789 \nL 191.040848 123.005294 \nL 189.188018 123.231554 \nL 187.101085 123.688689 \nL 184.824533 124.354506 \nL 179.898808 126.1936 \nL 174.804806 128.485343 \nL 169.89109 130.975212 \nL 165.415495 133.470236 \nL 161.532852 135.856578 \nL 158.307721 138.088444 \nL 155.738847 140.163975 \nL 153.784633 142.101558 \nL 152.384043 143.92308 \nL 151.471397 145.644915 \nL 150.985692 147.274649 \nL 150.87578 148.811097 \nL 151.10274 150.245689 \nL 151.640509 151.564024 \nL 152.475517 152.746996 \nL 153.605814 153.771283 \nL 155.039932 154.609208 \nL 156.795581 155.228037 \nL 158.89806 155.588851 \nL 161.378189 155.645212 \nL 164.269308 155.341836 \nL 167.602763 154.613795 \nL 171.40102 153.386967 \nL 175.66736 151.581007 \nL 180.371042 149.116795 \nL 182.863117 147.616826 \nL 185.427112 145.930934 \nL 188.039802 144.057688 \nL 190.671291 142.00038 \nL 193.284221 139.768459 \nL 195.833172 137.379079 \nL 198.264399 134.858667 \nL 200.516054 132.244343 \nL 202.519088 129.584935 \nL 204.199069 126.941294 \nL 205.479016 124.38554 \nL 206.283409 121.998899 \nL 206.54322 119.867843 \nL 206.201765 118.078477 \nL 205.220787 116.70947 \nL 203.586011 115.824151 \nL 201.311227 115.462937 \nL 198.439966 115.6374 \nL 195.044123 116.327427 \nL 191.219377 117.482284 \nL 187.077868 119.025868 \nL 182.739214 120.865209 \nL 173.932139 125.036793 \nL 161.76282 131.296275 \nL 152.025836 136.520034 \nL 147.014174 139.356984 \nL 143.057374 141.807267 \nL 139.97925 144.003191 \nL 137.595282 146.050529 \nL 135.734722 148.019179 \nL 134.249537 149.947725 \nL 132.461181 152.796887 \nL 128.246285 160.066916 \nL 126.984508 161.767321 \nL 125.538976 163.404057 \nL 123.861073 164.967152 \nL 121.89962 166.443261 \nL 119.599591 167.812989 \nL 116.901671 169.047218 \nL 113.743113 170.102118 \nL 110.060601 170.912495 \nL 108.004325 171.197694 \nL 105.796338 171.383181 \nL 103.432098 171.450661 \nL 100.909179 171.37861 \nL 98.228083 171.14194 \nL 95.393218 170.711755 \nL 92.414083 170.055237 \nL 89.306666 169.135769 \nL 86.095016 167.913397 \nL 82.812961 166.345801 \nL 79.505836 164.389931 \nL 76.2321 162.004521 \nL 73.064502 159.153638 \nL 70.090517 155.811361 \nL 67.411519 151.967588 \nL 65.140256 147.634638 \nL 63.396127 142.85405 \nL 62.29799 137.702515 \nL 61.954647 132.29548 \nL 62.453624 126.786798 \nL 63.849651 121.362913 \nL 66.154758 116.230833 \nL 69.332193 111.600488 \nL 73.295971 107.663541 \nL 77.916923 104.572359 \nL 83.034577 102.423232 \nL 88.472839 101.247438 \nL 94.056495 101.011862 \nL 99.625623 101.628529 \nL 105.045827 102.9704 \nL 110.213456 104.889607 \nL 115.056249 107.234599 \nL 119.530596 109.863637 \nL 123.616852 112.653541 \nL 127.314003 115.503855 \nL 130.634566 118.337324 \nL 133.600205 121.097968 \nL 136.238249 123.747813 \nL 140.654206 128.631561 \nL 144.131948 132.912491 \nL 148.098034 138.245289 \nL 152.056912 143.603672 \nL 153.801867 145.648163 \nL 155.540717 147.318964 \nL 157.360638 148.636966 \nL 159.333518 149.610135 \nL 161.519066 150.233996 \nL 163.96652 150.492316 \nL 166.71464 150.358068 \nL 169.789655 149.795088 \nL 173.20073 148.76102 \nL 176.932596 147.212497 \nL 180.935121 145.113771 \nL 185.110171 142.450132 \nL 187.215056 140.912194 \nL 189.297317 139.24693 \nL 191.325205 137.46771 \nL 193.262029 135.593512 \nL 195.0664 133.649579 \nL 196.692882 131.667864 \nL 198.093061 129.687085 \nL 199.217153 127.752269 \nL 200.016158 125.91362 \nL 200.444501 124.224625 \nL 200.46307 122.739357 \nL 200.042412 121.509101 \nL 199.165774 120.578521 \nL 197.831599 119.981774 \nL 196.055085 119.739111 \nL 193.868465 119.854533 \nL 191.319797 120.314947 \nL 188.470321 121.091103 \nL 185.390615 122.140313 \nL 182.156032 123.410525 \nL 175.519694 126.388052 \nL 169.094601 129.599539 \nL 163.264166 132.732476 \nL 158.239492 135.622893 \nL 154.086287 138.230001 \nL 150.77134 140.585666 \nL 148.206766 142.748753 \nL 146.282835 144.776371 \nL 144.888795 146.711066 \nL 143.924302 148.578435 \nL 143.30462 150.389773 \nL 142.962013 152.146256 \nL 142.845086 153.842859 \nL 142.917163 155.471266 \nL 143.15438 157.021753 \nL 143.543881 158.484116 \nL 144.082305 159.847947 \nL 144.774666 161.102394 \nL 145.633624 162.235581 \nL 146.679134 163.233741 \nL 147.938416 164.080086 \nL 149.44617 164.753419 \nL 151.24494 165.226381 \nL 153.385457 165.463315 \nL 155.926702 165.417628 \nL 158.935288 165.028675 \nL 162.483449 164.218256 \nL 166.644569 162.887204 \nL 171.484542 160.913119 \nL 174.174073 159.640479 \nL 177.046507 158.151465 \nL 180.099566 156.425937 \nL 183.325686 154.444147 \nL 186.710446 152.187929 \nL 190.230735 149.642347 \nL 193.852685 146.797893 \nL 197.529469 143.653303 \nL 201.199104 140.219024 \nL 204.782526 136.521223 \nL 208.182276 132.606147 \nL 211.282389 128.544342 \nL 213.950031 124.433995 \nL 216.039694 120.402329 \nL 217.400535 116.60369 \nL 217.887287 113.212899 \nL 217.374445 110.412842 \nL 215.772643 108.3761 \nL 213.044849 107.242271 \nL 209.219045 107.09452 \nL 204.393723 107.940769 \nL 198.733311 109.70536 \nL 192.452971 112.235272 \nL 185.795074 115.320963 \nL 179.002336 118.727341 \nL 154.202045 131.623596 \nL 144.559022 136.21668 \nL 136.885191 139.513233 \nL 128.424829 142.802699 \nL 121.034552 145.717781 \nL 117.154868 147.523983 \nL 109.892284 151.112853 \nL 107.791596 151.87046 \nL 105.570764 152.43102 \nL 103.207556 152.742988 \nL 100.70181 152.751048 \nL 98.077184 152.397584 \nL 95.383931 151.625802 \nL 94.035286 151.066843 \nL 92.701837 150.385376 \nL 91.39845 149.577594 \nL 90.141892 148.641399 \nL 88.950671 147.576874 \nL 87.844759 146.386749 \nL 86.845208 145.076889 \nL 85.973631 143.656735 \nL 85.251535 142.139639 \nL 84.699549 140.543083 \nL 84.336534 138.888699 \nL 84.178652 137.202038 \nL 84.238433 135.512069 \nL 84.523918 133.850389 \nL 85.037948 132.25014 \nL 85.777688 130.744711 \nL 86.734431 129.366281 \nL 87.893741 128.144335 \nL 89.235916 127.10427 \nL 90.736774 126.266232 \nL 92.368672 125.644263 \nL 94.101696 125.245865 \nL 95.904907 125.07199 \nL 97.747551 125.117451 \nL 99.600142 125.371652 \nL 101.43537 125.819575 \nL 103.228747 126.442912 \nL 104.959062 127.221214 \nL 106.608567 128.132975 \nL 108.162995 129.156602 \nL 109.611405 130.27117 \nL 110.945919 131.457027 \nL 112.161373 132.696183 \nL 114.22571 135.271969 \nL 115.802717 137.893293 \nL 116.910006 140.484216 \nL 117.57472 142.993018 \nL 117.826262 145.386001 \nL 117.691393 147.641609 \nL 117.191313 149.745391 \nL 116.34028 151.685812 \nL 115.145418 153.450807 \nL 113.607497 155.024778 \nL 111.72256 156.3858 \nL 109.484518 157.50292 \nL 106.888894 158.333413 \nL 103.938069 158.820213 \nL 102.333797 158.912461 \nL 100.648458 158.889931 \nL 98.887846 158.740813 \nL 97.059934 158.452368 \nL 95.175293 158.011125 \nL 93.247514 157.403168 \nL 91.293632 156.614575 \nL 89.334497 155.631991 \nL 87.395085 154.443416 \nL 85.504668 153.039156 \nL 83.696783 151.412984 \nL 82.008942 149.563449 \nL 80.482015 147.495329 \nL 79.159187 145.221049 \nL 78.084491 142.762004 \nL 77.300882 140.149547 \nL 76.847942 137.425448 \nL 76.759302 134.641598 \nL 77.060035 131.858778 \nL 77.764243 129.144428 \nL 78.873174 126.569389 \nL 80.374151 124.203887 \nL 82.240522 122.113109 \nL 84.432753 120.35286 \nL 86.900576 118.96584 \nL 89.585974 117.979059 \nL 92.426675 117.402668 \nL 95.359729 117.230359 \nL 98.324784 117.441126 \nL 101.266771 118.002122 \nL 104.137806 118.872102 \nL 106.898292 120.004999 \nL 109.517237 121.353208 \nL 111.972003 122.870358 \nL 114.247575 124.513332 \nL 116.33559 126.243617 \nL 118.233247 128.027982 \nL 119.942192 129.838652 \nL 121.467482 131.653094 \nL 122.81666 133.453569 \nL 125.024605 136.962066 \nL 126.64898 140.295221 \nL 127.774483 143.423033 \nL 128.478262 146.33963 \nL 128.825095 149.052817 \nL 128.865484 151.577229 \nL 128.635476 153.930011 \nL 128.15739 156.128212 \nL 127.440889 158.18716 \nL 126.484084 160.119378 \nL 125.274478 161.933706 \nL 123.789725 163.634318 \nL 121.998231 165.219398 \nL 119.859772 166.679244 \nL 117.326397 167.993452 \nL 114.344093 169.126892 \nL 110.85591 170.024109 \nL 108.904846 170.359453 \nL 106.807682 170.601876 \nL 104.559704 170.735115 \nL 102.157937 170.739946 \nL 99.601854 170.593877 \nL 96.894233 170.270876 \nL 94.04221 169.741231 \nL 91.058501 168.971563 \nL 87.962827 167.925127 \nL 84.783474 166.562521 \nL 81.558925 164.842931 \nL 78.339437 162.726128 \nL 75.18836 160.175346 \nL 72.182875 157.161171 \nL 69.413818 153.666511 \nL 66.984107 149.692458 \nL 65.005325 145.264616 \nL 63.592137 140.439152 \nL 62.854418 135.307379 \nL 62.887468 129.997446 \nL 63.761203 124.671628 \nL 65.509885 119.518134 \nL 68.124313 114.737321 \nL 71.548377 110.523398 \nL 75.681329 107.044368 \nL 80.385943 104.423754 \nL 85.501366 102.727848 \nL 90.858381 101.96108 \nL 96.294296 102.070191 \nL 101.664988 102.955761 \nL 106.852698 104.488156 \nL 111.769243 106.524414 \nL 116.355371 108.923064 \nL 120.577469 111.55513 \nL 124.422912 114.310708 \nL 127.895119 117.101577 \nL 131.008985 119.860804 \nL 133.787049 122.540501 \nL 138.44682 127.545695 \nL 142.111079 131.992614 \nL 145.013856 135.868119 \nL 151.949677 145.565693 \nL 153.608239 147.426533 \nL 155.316346 148.941913 \nL 157.150479 150.12428 \nL 159.175243 150.973767 \nL 161.445862 151.478489 \nL 164.009208 151.614957 \nL 166.903037 151.34881 \nL 170.153044 150.636343 \nL 173.767195 149.427569 \nL 177.726888 147.67192 \nL 181.974571 145.328115 \nL 184.174004 143.928991 \nL 186.398261 142.379761 \nL 188.622079 140.685951 \nL 190.814815 138.857798 \nL 192.940214 136.911214 \nL 194.956416 134.868703 \nL 196.816328 132.760115 \nL 198.468455 130.623077 \nL 199.858289 128.502957 \nL 200.930344 126.452115 \nL 201.63083 124.52836 \nL 201.910898 122.792407 \nL 201.730298 121.30441 \nL 201.061111 120.119721 \nL 199.891153 119.284235 \nL 198.226523 118.829919 \nL 196.092877 118.771181 \nL 193.53499 119.102788 \nL 190.614525 119.799821 \nL 187.406174 120.819892 \nL 183.99258 122.107303 \nL 180.458781 123.598559 \nL 173.35132 126.934963 \nL 166.632635 130.374419 \nL 160.662088 133.618999 \nL 155.607307 136.542373 \nL 151.488709 139.142635 \nL 148.235509 141.480199 \nL 145.732503 143.630197 \nL 143.851766 145.656662 \nL 142.471085 147.60363 \nL 141.483067 149.495886 \nL 140.798415 151.343525 \nL 140.34593 153.147119 \nL 139.986613 155.759169 \nL 139.901726 158.238473 \nL 140.016808 160.562955 \nL 140.296245 162.715442 \nL 140.732954 164.68324 \nL 141.342285 166.455649 \nL 142.15952 168.020621 \nL 142.846432 168.940496 \nL 143.672115 169.75331 \nL 144.663901 170.448929 \nL 145.855202 171.013472 \nL 147.286511 171.428 \nL 149.006523 171.666822 \nL 151.073287 171.695231 \nL 153.555197 171.466554 \nL 156.531473 170.918372 \nL 160.091517 169.967843 \nL 164.332013 168.506335 \nL 169.349963 166.394154 \nL 172.177648 165.041023 \nL 175.228683 163.457336 \nL 178.507192 161.616473 \nL 182.012364 159.49075 \nL 185.736611 157.052475 \nL 189.663312 154.275576 \nL 193.764105 151.137935 \nL 197.995795 147.624629 \nL 202.296957 143.732209 \nL 206.584482 139.474089 \nL 210.750459 134.88695 \nL 214.660062 130.037789 \nL 218.15133 125.030802 \nL 221.038017 120.0127 \nL 223.116826 115.174408 \nL 224.180278 110.746485 \nL 224.035675 106.985639 \nL 222.529545 104.15047 \nL 219.574589 102.46712 \nL 215.174026 102.089293 \nL 209.436349 103.061538 \nL 202.57395 105.297445 \nL 194.88242 108.582834 \nL 186.703442 112.60696 \nL 178.380015 117.014802 \nL 162.446992 125.678243 \nL 155.233483 129.461282 \nL 148.662024 132.712009 \nL 142.760699 135.404599 \nL 137.515626 137.567779 \nL 132.886583 139.26242 \nL 128.819337 140.563159 \nL 125.254262 141.545656 \nL 119.395497 142.822377 \nL 114.879951 143.520433 \nL 109.880946 144.031352 \nL 105.282796 144.275564 \nL 102.724901 144.253723 \nL 100.61456 144.036126 \nL 98.820609 143.583249 \nL 97.779545 143.138186 \nL 96.867177 142.578742 \nL 96.097276 141.913555 \nL 95.488153 141.15952 \nL 95.059099 140.341694 \nL 94.826915 139.492511 \nL 94.802749 138.650106 \nL 94.989514 137.855853 \nL 95.380154 137.151237 \nL 95.956993 136.574427 \nL 96.692306 136.157005 \nL 97.549997 135.921347 \nL 98.488126 135.879035 \nL 99.461883 136.030457 \nL 100.42659 136.365605 \nL 101.340316 136.865753 \nL 102.165862 137.505639 \nL 102.872025 138.255811 \nL 103.434145 139.084711 \nL 103.834094 139.960416 \nL 104.059885 140.851807 \nL 104.10509 141.729293 \nL 103.968224 142.565128 \nL 103.65225 143.333413 \nL 103.164273 144.009996 \nL 102.515446 144.572286 \nL 101.721148 144.999194 \nL 100.801328 145.271244 \nL 99.780988 145.370997 \nL 98.690673 145.283834 \nL 97.566786 144.999162 \nL 96.451566 144.512031 \nL 95.392446 143.825084 \nL 94.440599 142.950641 \nL 93.648516 141.912559 \nL 93.066551 140.747446 \nL 92.738646 139.504636 \nL 92.697673 138.244494 \nL 92.961084 137.034799 \nL 93.527694 135.945357 \nL 94.376389 135.041507 \nL 95.467162 134.377562 \nL 96.744507 133.991488 \nL 98.142553 133.901721 \nL 99.591078 134.106749 \nL 101.021291 134.587205 \nL 102.370604 135.30979 \nL 103.585815 136.232037 \nL 104.624656 137.306953 \nL 105.455921 138.486864 \nL 106.058552 139.726122 \nL 106.420152 140.982643 \nL 106.535353 142.21846 \nL 106.404282 143.399503 \nL 106.031417 144.494949 \nL 105.424878 145.476332 \nL 104.596249 146.316639 \nL 103.560929 146.989537 \nL 102.338954 147.468907 \nL 100.956231 147.72884 \nL 99.446055 147.744199 \nL 97.850664 147.492025 \nL 96.222574 146.953825 \nL 94.625198 146.118887 \nL 93.132275 144.988501 \nL 91.825475 143.580664 \nL 90.789748 141.93454 \nL 90.106272 140.113417 \nL 89.918778 139.163707 \nL 89.843466 138.204791 \nL 89.88529 137.250706 \nL 90.047238 136.316236 \nL 90.330126 135.416506 \nL 90.73247 134.56657 \nL 91.250428 133.780929 \nL 91.877847 133.073072 \nL 92.606402 132.45504 \nL 93.42582 131.937037 \nL 94.324168 131.527114 \nL 95.288222 131.230968 \nL 96.303867 131.05183 \nL 97.356498 130.990488 \nL 98.43143 131.045388 \nL 100.591238 131.487312 \nL 102.677119 132.327793 \nL 104.59993 133.498036 \nL 106.291151 134.920829 \nL 107.702977 136.519293 \nL 108.805953 138.222748 \nL 109.585313 139.969732 \nL 110.036976 141.708665 \nL 110.163901 143.39692 \nL 109.97317 144.999043 \nL 109.47397 146.484522 \nL 108.676511 147.825558 \nL 107.591874 148.994953 \nL 106.232724 149.964289 \nL 104.614872 150.702471 \nL 102.759638 151.174792 \nL 100.696965 151.3428 \nL 98.469101 151.165243 \nL 96.134594 150.600589 \nL 93.771942 149.611645 \nL 92.610674 148.949331 \nL 91.481949 148.172691 \nL 90.401814 147.281888 \nL 89.387445 146.279117 \nL 88.456886 145.168984 \nL 87.628671 143.958844 \nL 86.921352 142.6591 \nL 86.352925 141.283391 \nL 85.940178 139.848662 \nL 85.697977 138.375066 \nL 85.638543 136.885651 \nL 85.770758 135.405862 \nL 86.099555 133.962806 \nL 86.625444 132.584342 \nL 87.344234 131.29801 \nL 88.246992 130.129914 \nL 89.320237 129.103593 \nL 90.546383 128.239009 \nL 91.904401 127.551716 \nL 93.370654 127.052296 \nL 94.919824 126.746109 \nL 96.525878 126.633316 \nL 98.162998 126.709257 \nL 99.806414 126.965015 \nL 101.43308 127.388177 \nL 103.022208 127.963696 \nL 104.555603 128.67476 \nL 106.017837 129.503625 \nL 107.396278 130.432346 \nL 108.680991 131.443399 \nL 110.941754 133.647132 \nL 112.765945 135.997426 \nL 114.145867 138.400561 \nL 115.090983 140.786121 \nL 115.619905 143.103483 \nL 115.754268 145.31712 \nL 115.514503 147.401809 \nL 114.91729 149.338315 \nL 113.974403 151.109647 \nL 112.692723 152.697845 \nL 111.07524 154.081103 \nL 109.123043 155.231196 \nL 106.838368 156.111049 \nL 104.228901 156.672655 \nL 101.313552 156.855606 \nL 99.751949 156.78274 \nL 98.129901 156.586948 \nL 96.456506 156.257526 \nL 94.743214 155.783475 \nL 93.004142 155.153831 \nL 91.25636 154.358113 \nL 89.520118 153.386871 \nL 87.818975 152.232396 \nL 86.179798 150.88955 \nL 84.632586 149.356712 \nL 83.210045 147.636814 \nL 81.946899 145.738383 \nL 80.878896 143.676536 \nL 80.041489 141.473763 \nL 79.468225 139.160411 \nL 79.188934 136.774691 \nL 79.227781 134.362077 \nL 79.601401 131.974026 \nL 80.317276 129.666003 \nL 81.372573 127.494844 \nL 82.753608 125.515724 \nL 84.436076 123.778917 \nL 86.386064 122.326761 \nL 88.561765 121.191177 \nL 90.915756 120.391974 \nL 93.397563 119.936197 \nL 95.956262 119.818522 \nL 98.542876 120.022583 \nL 101.112341 120.523013 \nL 103.624958 121.287882 \nL 106.047261 122.281278 \nL 108.352366 123.465688 \nL 110.51987 124.80404 \nL 112.535412 126.261292 \nL 114.390018 127.805537 \nL 116.079318 129.408627 \nL 117.602731 131.046453 \nL 118.962674 132.698894 \nL 120.163825 134.349596 \nL 122.115968 137.596914 \nL 123.519444 140.717742 \nL 124.438542 143.675353 \nL 124.932864 146.455292 \nL 125.05239 149.056466 \nL 124.835094 151.484859 \nL 124.306223 153.749214 \nL 123.478519 155.858023 \nL 122.352949 157.817313 \nL 120.919691 159.628774 \nL 119.159287 161.287828 \nL 117.044051 162.781414 \nL 114.539977 164.085094 \nL 111.609588 165.159308 \nL 108.21639 165.944596 \nL 106.336767 166.203461 \nL 104.331937 166.355812 \nL 102.201388 166.385968 \nL 99.946764 166.275893 \nL 97.572518 166.005108 \nL 95.086676 165.550677 \nL 92.501727 164.887364 \nL 89.835583 163.987992 \nL 87.112627 162.824076 \nL 84.36473 161.366869 \nL 81.632208 159.588849 \nL 78.96453 157.465782 \nL 76.42062 154.979375 \nL 74.068526 152.120509 \nL 71.984209 148.892966 \nL 70.249213 145.317309 \nL 68.947037 141.434543 \nL 68.158194 137.308854 \nL 67.954125 133.028697 \nL 68.390479 128.705427 \nL 69.500536 124.468875 \nL 71.289772 120.459666 \nL 73.732666 116.818797 \nL 76.772558 113.675596 \nL 80.324951 111.135823 \nL 84.283966 109.272008 \nL 88.531011 108.117612 \nL 92.944297 107.666122 \nL 97.407732 107.874875 \nL 101.818026 108.672695 \nL 106.089324 109.969646 \nL 110.155283 111.667065 \nL 113.968948 113.666454 \nL 117.501035 115.876248 \nL 120.737304 118.216176 \nL 123.675591 120.619356 \nL 126.322902 123.032601 \nL 128.692833 125.415502 \nL 130.803398 127.7388 \nL 134.33062 132.133887 \nL 137.080977 136.135765 \nL 139.227409 139.730813 \nL 141.649623 144.409112 \nL 145.597813 152.588612 \nL 146.662136 154.350603 \nL 147.81003 155.888566 \nL 149.091375 157.207535 \nL 150.553798 158.304593 \nL 152.245014 159.168344 \nL 154.214591 159.778054 \nL 156.515012 160.102417 \nL 159.201829 160.097938 \nL 162.332488 159.707095 \nL 165.963141 158.85665 \nL 170.142406 157.456871 \nL 174.900566 155.403148 \nL 177.497098 154.095748 \nL 180.232305 152.58254 \nL 183.095751 150.85062 \nL 186.071037 148.889238 \nL 189.134497 146.691151 \nL 192.253785 144.254337 \nL 195.38649 141.584078 \nL 198.47885 138.695379 \nL 201.464833 135.61558 \nL 204.265781 132.387012 \nL 206.790994 129.069281 \nL 208.939629 125.740709 \nL 210.604263 122.498272 \nL 211.676439 119.455311 \nL 212.054227 116.736315 \nL 211.6515 114.468419 \nL 210.408122 112.76982 \nL 208.299642 111.736132 \nL 205.344696 111.426784 \nL 201.60822 111.854227 \nL 197.199068 112.978769 \nL 192.261665 114.711137 \nL 186.962763 116.922981 \nL 181.475632 119.463431 \nL 170.572689 124.926548 \nL 152.007576 134.467242 \nL 135.119272 142.952192 \nL 131.72013 144.919565 \nL 129.019441 146.735102 \nL 126.803865 148.479164 \nL 124.010166 151.032421 \nL 119.693123 155.097841 \nL 117.807556 156.598617 \nL 115.723881 157.98292 \nL 113.385548 159.212605 \nL 110.745163 160.241024 \nL 107.765542 161.009797 \nL 104.423225 161.44506 \nL 102.614016 161.509411 \nL 100.715023 161.453901 \nL 98.730677 161.263582 \nL 96.668152 160.922206 \nL 94.537888 160.412409 \nL 92.354145 159.716012 \nL 90.135586 158.814499 \nL 87.905805 157.689738 \nL 85.693808 156.324919 \nL 83.53432 154.705816 \nL 81.467846 152.822322 \nL 79.540378 150.670253 \nL 77.802643 148.253386 \nL 76.308752 145.585515 \nL 75.114234 142.692395 \nL 74.273363 139.613242 \nL 73.835937 136.401447 \nL 73.843638 133.124192 \nL 74.326344 129.860634 \nL 75.298792 126.698524 \nL 76.758084 123.729363 \nL 78.682487 121.042417 \nL 81.031851 118.718291 \nL 83.749697 116.822833 \nL 86.766828 115.402303 \nL 90.005985 114.480423 \nL 93.386965 114.05781 \nL 96.831538 114.113671 \nL 100.267605 114.609399 \nL 103.632258 115.493378 \nL 106.873597 116.706208 \nL 109.951358 118.185685 \nL 112.836592 119.870964 \nL 115.510665 121.705676 \nL 117.963844 123.639912 \nL 120.193723 125.631209 \nL 122.203662 127.644729 \nL 124.001342 129.652862 \nL 125.597514 131.634498 \nL 128.237523 135.460798 \nL 130.235757 139.04979 \nL 131.704875 142.375611 \nL 132.747337 145.440271 \nL 133.450392 148.260333 \nL 133.884639 150.858756 \nL 134.104618 153.260246 \nL 134.117021 156.545123 \nL 133.81898 159.512503 \nL 133.245056 162.222446 \nL 132.708071 163.910471 \nL 132.036886 165.517761 \nL 131.215174 167.054383 \nL 130.220215 168.528572 \nL 129.022532 169.946497 \nL 127.585271 171.311688 \nL 125.863383 172.623978 \nL 123.802734 173.877765 \nL 121.339322 175.059234 \nL 118.398958 176.142146 \nL 114.898034 177.081531 \nL 110.746445 177.804528 \nL 108.398297 178.051417 \nL 105.854517 178.197564 \nL 103.106219 178.219615 \nL 100.146851 178.089329 \nL 96.973336 177.772904 \nL 93.58753 177.230341 \nL 89.998053 176.414968 \nL 86.222524 175.273257 \nL 82.290217 173.745172 \nL 78.245059 171.7653 \nL 74.148855 169.265172 \nL 70.084394 166.177181 \nL 66.158013 162.440528 \nL 62.500806 158.009574 \nL 59.267554 152.864571 \nL 56.63223 147.024288 \nL 54.779003 140.559172 \nL 53.888148 133.602577 \nL 54.117167 126.356588 \nL 55.57913 119.088551 \nL 58.321718 112.115142 \nL 62.311903 105.773184 \nL 67.431079 100.380386 \nL 73.483654 96.193137 \nL 80.218527 93.371219 \nL 87.359187 91.958365 \nL 94.635466 91.883553 \nL 101.810111 92.981622 \nL 108.695554 95.026458 \nL 115.159812 97.767628 \nL 121.123384 100.962218 \nL 126.550598 104.397039 \nL 131.43885 107.900172 \nL 135.808225 111.34342 \nL 139.692883 114.638651 \nL 146.178236 120.59108 \nL 153.362754 127.724532 \nL 159.835147 134.24645 \nL 162.288788 136.487995 \nL 164.457416 138.184369 \nL 166.467257 139.409544 \nL 168.410621 140.218199 \nL 170.350809 140.649819 \nL 172.32576 140.733122 \nL 174.350467 140.4905 \nL 176.41826 139.942527 \nL 178.501361 139.112648 \nL 180.551207 138.031934 \nL 182.499296 136.743651 \nL 184.259489 135.30697 \nL 185.732743 133.798893 \nL 186.815039 132.313074 \nL 187.408769 130.954517 \nL 187.497075 130.356525 \nL 187.436657 129.829668 \nL 187.223405 129.385251 \nL 186.85614 129.032886 \nL 186.336865 128.780097 \nL 185.670848 128.631974 \nL 184.8666 128.590959 \nL 182.892304 128.826498 \nL 180.535961 129.45409 \nL 177.946027 130.408383 \nL 175.278066 131.605731 \nL 172.676646 132.959704 \nL 170.262333 134.393266 \nL 168.125299 135.845301 \nL 166.325077 137.271589 \nL 164.894545 138.641964 \nL 163.846052 139.935837 \nL 163.177928 141.137704 \nL 162.880259 142.233589 \nL 162.939425 143.208642 \nL 163.341225 144.045782 \nL 164.072674 144.725075 \nL 165.12261 145.223612 \nL 166.481258 145.515751 \nL 168.138825 145.57366 \nL 170.083155 145.368282 \nL 172.296451 144.870919 \nL 174.751003 144.055751 \nL 177.404059 142.903644 \nL 180.192051 141.407538 \nL 183.024877 139.579552 \nL 185.781441 137.459413 \nL 188.308384 135.122898 \nL 190.424589 132.68785 \nL 191.267454 131.48186 \nL 191.934115 130.314003 \nL 192.401534 129.20905 \nL 192.649123 128.192349 \nL 192.659878 127.28875 \nL 192.421478 126.521422 \nL 191.927289 125.910577 \nL 191.177141 125.472254 \nL 190.177809 125.217283 \nL 188.943105 125.150516 \nL 187.493523 125.270516 \nL 185.855486 125.569642 \nL 184.0602 126.03467 \nL 180.137886 127.387814 \nL 176.014899 129.156562 \nL 171.960727 131.160204 \nL 168.191749 133.246656 \nL 164.856191 135.310191 \nL 162.036227 137.291085 \nL 159.760592 139.164283 \nL 158.02092 140.924994 \nL 156.787127 142.576459 \nL 156.019687 144.121814 \nL 155.678291 145.559837 \nL 155.727377 146.883361 \nL 156.139182 148.079167 \nL 156.895066 149.128426 \nL 157.985609 150.007145 \nL 159.409857 150.686337 \nL 161.173883 151.131945 \nL 163.288639 151.304556 \nL 165.76694 151.159217 \nL 168.619243 150.645676 \nL 171.847745 149.709742 \nL 175.438307 148.296568 \nL 179.349702 146.357019 \nL 183.500134 143.858553 \nL 187.751883 140.801838 \nL 189.853727 139.07887 \nL 191.896668 137.243257 \nL 193.842211 135.315036 \nL 195.64711 133.32085 \nL 197.26405 131.294355 \nL 198.642857 129.276224 \nL 199.732222 127.313584 \nL 200.48201 125.458718 \nL 200.846092 123.766966 \nL 200.785541 122.29379 \nL 200.271956 121.091154 \nL 199.290576 120.20346 \nL 197.842748 119.663532 \nL 195.947332 119.489208 \nL 193.64073 119.681126 \nL 190.975329 120.222182 \nL 188.016475 121.078893 \nL 184.838265 122.20455 \nL 181.518699 123.54374 \nL 174.758341 126.628265 \nL 168.269576 129.901955 \nL 162.42479 133.059808 \nL 157.41903 135.951559 \nL 153.302532 138.549394 \nL 150.029933 140.894093 \nL 147.505015 143.049177 \nL 145.612923 145.073349 \nL 144.24005 147.009103 \nL 143.284638 148.881372 \nL 142.661319 150.700775 \nL 142.302056 152.468102 \nL 142.155176 154.178297 \nL 142.183544 155.823403 \nL 142.503732 158.149211 \nL 142.885174 159.591878 \nL 143.398677 160.937733 \nL 144.050695 162.177516 \nL 144.854527 163.301085 \nL 145.8301 164.296571 \nL 147.004074 165.149335 \nL 148.410195 165.840667 \nL 150.089818 166.346175 \nL 152.092474 166.633785 \nL 154.476279 166.661228 \nL 157.307844 166.372974 \nL 160.661126 165.696634 \nL 164.614285 164.539089 \nL 169.243067 162.783115 \nL 174.608448 160.286179 \nL 177.577392 158.70926 \nL 180.735367 156.884796 \nL 184.074262 154.791651 \nL 187.578551 152.410409 \nL 191.223281 149.72519 \nL 194.97181 146.7261 \nL 198.77338 143.412351 \nL 202.56072 139.796121 \nL 206.247947 135.907007 \nL 209.729198 131.796875 \nL 212.878627 127.54448 \nL 215.552439 123.259019 \nL 217.593835 119.081376 \nL 218.841573 115.181434 \nL 219.142517 111.749893 \nL 218.367784 108.983412 \nL 216.431003 107.063252 \nL 213.305866 106.129396 \nL 209.038921 106.254906 \nL 203.753515 107.426807 \nL 197.641986 109.540149 \nL 190.94615 112.409047 \nL 183.929551 115.793681 \nL 169.923039 123.099301 \nL 157.184059 129.773825 \nL 151.556535 132.581414 \nL 146.471872 134.991387 \nL 137.886463 138.709426 \nL 131.17581 141.272482 \nL 114.815712 147.170277 \nL 108.604617 149.728377 \nL 106.587773 150.342786 \nL 104.501023 150.771004 \nL 102.323112 150.966436 \nL 100.055397 150.881152 \nL 97.722195 150.468058 \nL 95.371765 149.684316 \nL 93.077079 148.496626 \nL 91.980094 147.745304 \nL 90.935178 146.88872 \nL 89.95765 145.929033 \nL 89.063674 144.870688 \nL 88.269882 143.720705 \nL 87.592933 142.488918 \nL 87.048975 141.18811 \nL 86.653043 139.83407 \nL 86.418424 138.445462 \nL 86.355997 137.043545 \nL 86.473621 135.651697 \nL 86.775582 134.294764 \nL 87.262193 132.998236 \nL 87.929531 131.787315 \nL 88.769402 130.685914 \nL 89.769505 129.715671 \nL 90.913814 128.895054 \nL 92.183151 128.238608 \nL 93.55591 127.756461 \nL 95.008872 127.454048 \nL 96.518064 127.332138 \nL 98.059586 127.387111 \nL 99.610359 127.611432 \nL 101.148756 127.994306 \nL 102.655097 128.522406 \nL 104.111981 129.180656 \nL 105.504477 129.952968 \nL 106.820178 130.822896 \nL 109.183713 132.791395 \nL 111.149493 134.966251 \nL 112.693955 137.246153 \nL 113.814643 139.551076 \nL 114.522205 141.820881 \nL 114.833752 144.011755 \nL 114.767954 146.091919 \nL 114.341772 148.03739 \nL 113.56867 149.828204 \nL 112.458066 151.445054 \nL 111.015846 152.866372 \nL 109.245888 154.065728 \nL 107.152593 155.009478 \nL 104.744569 155.65475 \nL 102.039599 155.948015 \nL 100.585374 155.942885 \nL 99.071056 155.824759 \nL 97.504533 155.584128 \nL 95.8957 155.211179 \nL 94.256732 154.696046 \nL 92.602347 154.029167 \nL 90.950022 153.201736 \nL 89.320137 152.206263 \nL 87.73603 151.037261 \nL 86.223896 149.692026 \nL 84.81251 148.171508 \nL 83.532734 146.481208 \nL 82.416769 144.632073 \nL 81.49714 142.641263 \nL 80.805406 140.532696 \nL 80.370679 138.337274 \nL 80.217967 136.092645 \nL 80.366506 133.842416 \nL 80.828206 131.634778 \nL 81.606388 129.520552 \nL 82.694977 127.550758 \nL 84.07826 125.773908 \nL 85.73133 124.233243 \nL 87.621162 122.964262 \nL 89.708266 121.992765 \nL 91.948743 121.333663 \nL 94.29653 120.990651 \nL 96.705637 120.956759 \nL 99.132151 121.215652 \nL 101.535861 121.743454 \nL 103.881428 122.510902 \nL 106.139085 123.485506 \nL 108.284883 124.633584 \nL 110.300583 125.92196 \nL 112.173265 127.319295 \nL 113.89474 128.796994 \nL 115.460892 130.32975 \nL 116.870958 131.89576 \nL 118.126841 133.476711 \nL 119.232469 135.057578 \nL 121.015446 138.173557 \nL 122.272019 141.176743 \nL 123.058081 144.030614 \nL 123.425375 146.718873 \nL 123.416875 149.237485 \nL 123.06452 151.588862 \nL 122.388448 153.77771 \nL 121.397185 155.807969 \nL 120.088391 157.680415 \nL 118.449975 159.390443 \nL 116.461576 160.925747 \nL 114.096585 162.263585 \nL 111.325028 163.367377 \nL 108.117929 164.182572 \nL 106.343827 164.458787 \nL 104.453904 164.631756 \nL 102.4483 164.687399 \nL 100.329109 164.609627 \nL 98.100949 164.380271 \nL 95.771622 163.979122 \nL 93.352867 163.384076 \nL 90.86117 162.571471 \nL 88.318634 161.516676 \nL 85.753824 160.19497 \nL 83.202535 158.582827 \nL 80.708365 156.659623 \nL 78.322947 154.409833 \nL 76.105665 151.825695 \nL 74.122675 148.910216 \nL 72.445039 145.680357 \nL 71.145807 142.170013 \nL 70.296084 138.432344 \nL 69.960129 134.540845 \nL 70.189888 130.58857 \nL 71.019508 126.684968 \nL 72.460603 122.950218 \nL 74.499085 119.507207 \nL 77.094269 116.471995 \nL 80.180696 113.94399 \nL 83.672559 111.997314 \nL 87.470203 110.67488 \nL 91.467762 109.986052 \nL 95.560777 109.908175 \nL 99.652777 110.391517 \nL 103.660136 111.366485 \nL 107.514891 112.751758 \nL 111.165651 114.462043 \nL 114.576938 116.414602 \nL 117.727503 118.533912 \nL 120.608062 120.754514 \nL 123.218883 123.022186 \nL 125.567473 125.29387 \nL 127.666529 127.536777 \nL 129.532234 129.727026 \nL 132.637779 133.8895 \nL 135.038297 137.712299 \nL 136.883904 141.182603 \nL 138.309267 144.316582 \nL 139.905353 148.450576 \nL 143.219219 157.678662 \nL 144.407785 159.922826 \nL 145.332608 161.21534 \nL 146.403317 162.343919 \nL 147.656442 163.301387 \nL 149.132319 164.074254 \nL 150.876456 164.641614 \nL 152.940626 164.973568 \nL 155.383527 165.029097 \nL 158.270701 164.753387 \nL 161.673162 164.074683 \nL 165.663776 162.901055 \nL 170.309939 161.117987 \nL 172.895326 159.955909 \nL 175.660337 158.588636 \nL 178.60451 156.996616 \nL 181.722796 155.160314 \nL 185.004134 153.061193 \nL 188.42978 150.683129 \nL 191.971392 148.014282 \nL 195.58895 145.049574 \nL 199.228587 141.793765 \nL 202.820588 138.265113 \nL 206.277807 134.499477 \nL 209.494965 130.554523 \nL 212.349411 126.513438 \nL 214.703963 122.487261 \nL 216.412564 118.614677 \nL 217.329212 115.057866 \nL 217.320277 111.993203 \nL 216.279533 109.596212 \nL 214.144224 108.021381 \nL 210.909392 107.379369 \nL 206.636949 107.716048 \nL 201.456312 108.998884 \nL 195.554733 111.115673 \nL 189.15819 113.887782 \nL 182.506451 117.095765 \nL 169.317902 123.926786 \nL 157.363329 130.153126 \nL 147.30279 135.080734 \nL 139.219025 138.685679 \nL 130.264606 142.298762 \nL 122.474693 145.44375 \nL 118.449976 147.360578 \nL 110.106945 151.690776 \nL 107.967261 152.475084 \nL 105.68753 153.054 \nL 103.247267 153.37406 \nL 100.647911 153.377225 \nL 97.915198 153.002211 \nL 96.51437 152.653577 \nL 95.102653 152.187666 \nL 93.691691 151.597791 \nL 92.29527 150.87821 \nL 90.929326 150.024536 \nL 89.611886 149.034206 \nL 88.362901 147.906988 \nL 87.203972 146.645537 \nL 86.15791 145.25593 \nL 85.248183 143.748174 \nL 84.498168 142.136615 \nL 83.930283 140.440175 \nL 83.564995 138.682396 \nL 83.419772 136.891184 \nL 83.508031 135.098235 \nL 83.838175 133.338133 \nL 84.412807 131.64711 \nL 85.228218 130.06155 \nL 86.274195 128.616344 \nL 87.534228 127.343187 \nL 88.986093 126.269041 \nL 90.602772 125.414835 \nL 92.353656 124.794572 \nL 94.205912 124.414948 \nL 96.125882 124.275391 \nL 98.080433 124.368652 \nL 100.038139 124.681715 \nL 101.970216 125.196955 \nL 103.85121 125.893478 \nL 105.65939 126.748394 \nL 107.376907 127.738028 \nL 108.989733 128.838943 \nL 110.487436 130.02875 \nL 111.862835 131.286694 \nL 113.111593 132.594017 \nL 115.223408 135.2928 \nL 116.828399 138.018892 \nL 117.950761 140.69793 \nL 118.623073 143.281075 \nL 118.878852 145.738013 \nL 118.747677 148.050625 \nL 118.252375 150.207734 \nL 117.407753 152.200874 \nL 116.220486 154.020854 \nL 114.689901 155.654794 \nL 112.809544 157.083363 \nL 110.569637 158.277992 \nL 107.960627 159.19797 \nL 104.978233 159.787496 \nL 103.348797 159.936106 \nL 101.630463 159.973032 \nL 99.827715 159.886055 \nL 97.947152 159.661789 \nL 95.997925 159.285817 \nL 93.992223 158.74292 \nL 91.945758 158.017455 \nL 89.878245 157.093881 \nL 87.813814 155.957497 \nL 85.781333 154.595383 \nL 83.814549 152.997589 \nL 81.951977 151.158537 \nL 80.236438 149.078616 \nL 78.714192 146.765862 \nL 77.433548 144.23762 \nL 76.442969 141.521959 \nL 75.788631 138.658611 \nL 75.511617 135.699179 \nL 75.64487 132.706321 \nL 76.210226 129.751782 \nL 77.215889 126.913171 \nL 78.654704 124.269658 \nL 80.503536 121.89697 \nL 82.72398 119.862155 \nL 85.264384 118.218872 \nL 88.063003 117.003762 \nL 91.0519 116.234423 \nL 94.161141 115.909264 \nL 97.322755 116.009101 \nL 100.474074 116.500163 \nL 103.560194 117.338031 \nL 106.535451 118.471834 \nL 109.363971 119.84824 \nL 112.019458 121.414855 \nL 114.484425 123.12276 \nL 116.749075 124.928209 \nL 118.810034 126.793509 \nL 120.669062 128.687273 \nL 122.331845 130.584185 \nL 123.806917 132.464475 \nL 125.104738 134.313217 \nL 127.215696 137.87612 \nL 128.761672 141.222814 \nL 129.835873 144.337838 \nL 130.520266 147.225843 \nL 130.882224 149.902001 \nL 130.973732 152.38606 \nL 130.831992 154.698824 \nL 130.480678 156.860207 \nL 129.931342 158.888138 \nL 129.184693 160.797991 \nL 128.231585 162.602191 \nL 127.053683 164.309796 \nL 125.623817 165.925886 \nL 123.906089 167.450542 \nL 121.855914 168.87718 \nL 119.420186 170.190001 \nL 116.538006 171.360167 \nL 113.14258 172.340264 \nL 109.165327 173.056601 \nL 106.93843 173.283178 \nL 104.543794 173.398975 \nL 101.976865 173.382448 \nL 99.235717 173.208135 \nL 96.322057 172.846275 \nL 93.242468 172.262531 \nL 90.009901 171.41791 \nL 86.64542 170.269009 \nL 83.180162 168.768748 \nL 79.657437 166.867781 \nL 76.134778 164.516853 \nL 72.685738 161.670312 \nL 69.400968 158.291007 \nL 66.388143 154.356639 \nL 63.770023 149.867362 \nL 61.68011 144.854105 \nL 60.255322 139.386533 \nL 59.625619 133.578945 \nL 59.901064 127.59211 \nL 61.157735 121.628888 \nL 63.424764 115.922204 \nL 66.675216 110.715462 \nL 70.823526 106.237429 \nL 75.730915 102.67589 \nL 81.218537 100.15536 \nL 87.086018 98.723867 \nL 93.131719 98.351676 \nL 99.1708 98.941654 \nL 105.048198 100.348086 \nL 110.645272 102.399176 \nL 115.880605 104.918395 \nL 120.706485 107.741289 \nL 125.103013 110.726202 \nL 129.071475 113.759159 \nL 132.628143 116.754134 \nL 135.799075 119.650356 \nL 141.113792 125.003937 \nL 145.292307 129.673867 \nL 150.015193 135.405408 \nL 154.600768 140.998452 \nL 156.550611 143.063892 \nL 158.444332 144.707142 \nL 160.378864 145.958341 \nL 162.430559 146.833362 \nL 164.658428 147.33522 \nL 167.105847 147.455844 \nL 169.800465 147.178344 \nL 172.75208 146.480183 \nL 175.948351 145.337825 \nL 179.348391 143.733584 \nL 182.874689 141.665322 \nL 186.404592 139.159341 \nL 189.763734 136.285712 \nL 191.310273 134.748704 \nL 192.72537 133.173416 \nL 193.974214 131.58675 \nL 195.020908 130.019789 \nL 195.829772 128.507178 \nL 196.366939 127.086085 \nL 196.60217 125.79472 \nL 196.510841 124.670467 \nL 196.075883 123.747671 \nL 195.289507 123.055317 \nL 194.154524 122.614851 \nL 192.685022 122.438354 \nL 190.906277 122.527389 \nL 188.853807 122.872765 \nL 186.571645 123.455224 \nL 184.109952 124.247103 \nL 178.862624 126.320887 \nL 173.530656 128.801106 \nL 168.467683 131.422517 \nL 163.920836 133.997835 \nL 160.025873 136.427711 \nL 156.826616 138.682077 \nL 154.303581 140.771563 \nL 152.401098 142.722547 \nL 151.048269 144.561083 \nL 150.173052 146.305177 \nL 149.710689 147.962782 \nL 149.608059 149.532689 \nL 149.825401 151.006441 \nL 150.336488 152.370129 \nL 151.127979 153.605624 \nL 152.198409 154.691075 \nL 153.557065 155.600724 \nL 155.222809 156.304141 \nL 157.222786 156.764985 \nL 159.5908 156.939456 \nL 162.364983 156.774623 \nL 165.584202 156.206967 \nL 169.282386 155.161766 \nL 173.479684 153.554357 \nL 178.169159 151.295031 \nL 180.684325 149.894053 \nL 183.297705 148.300198 \nL 185.991264 146.507386 \nL 188.740594 144.51323 \nL 191.51391 142.32045 \nL 194.271115 139.938509 \nL 196.963072 137.385417 \nL 199.531224 134.689575 \nL 201.907776 131.891458 \nL 204.01666 129.044877 \nL 205.775555 126.217406 \nL 207.09913 123.489585 \nL 207.903633 120.952418 \nL 208.112774 118.702846 \nL 207.664535 116.837122 \nL 206.518262 115.442347 \nL 204.661095 114.58717 \nL 202.112522 114.312862 \nL 198.925975 114.626641 \nL 195.186713 115.498855 \nL 191.005846 116.865062 \nL 186.511273 118.633061 \nL 181.836916 120.693714 \nL 172.452327 125.245868 \nL 159.710381 131.829438 \nL 147.000475 138.583661 \nL 142.470911 141.165373 \nL 138.93129 143.418503 \nL 136.175253 145.477401 \nL 134.008525 147.434218 \nL 132.261163 149.341946 \nL 130.120952 152.158673 \nL 126.298764 157.612963 \nL 124.878908 159.338949 \nL 123.284026 160.995568 \nL 121.45915 162.565914 \nL 119.350026 164.028933 \nL 116.90186 165.356518 \nL 114.059339 166.50956 \nL 110.768398 167.432784 \nL 108.939215 167.784948 \nL 106.980564 168.048255 \nL 104.888586 168.208162 \nL 102.661068 168.247722 \nL 100.298011 168.147348 \nL 97.802347 167.884634 \nL 95.180779 167.434264 \nL 92.444763 166.768079 \nL 89.611636 165.855359 \nL 86.705829 164.663425 \nL 83.760136 163.158663 \nL 80.816915 161.308113 \nL 77.929102 159.081705 \nL 75.160763 156.455246 \nL 72.586986 153.414189 \nL 70.292752 149.958055 \nL 68.370465 146.105236 \nL 66.915909 141.897637 \nL 66.022518 137.404415 \nL 65.77413 132.723791 \nL 66.236809 127.981895 \nL 67.450691 123.327791 \nL 69.423183 118.924338 \nL 72.124872 114.935451 \nL 75.489321 111.511154 \nL 79.417228 108.772856 \nL 83.784579 106.801408 \nL 88.453488 105.630262 \nL 93.283962 105.244917 \nL 98.144597 105.588425 \nL 102.920807 106.571508 \nL 107.519787 108.084989 \nL 111.872271 110.012164 \nL 115.931648 112.239317 \nL 119.671335 114.663305 \nL 123.081256 117.196009 \nL 126.164134 119.766049 \nL 128.932047 122.318434 \nL 131.403488 124.812906 \nL 133.600988 127.221635 \nL 137.274053 131.718095 \nL 140.154267 135.745061 \nL 142.434441 139.306399 \nL 146.56674 146.409689 \nL 148.592953 149.634029 \nL 149.95046 151.413683 \nL 151.397245 152.916521 \nL 152.995151 154.14778 \nL 154.800646 155.10244 \nL 156.86719 155.764785 \nL 159.246568 156.107748 \nL 161.988939 156.09216 \nL 165.141179 155.66609 \nL 168.742898 154.764846 \nL 172.819222 153.312532 \nL 177.369254 151.22676 \nL 179.810443 149.921155 \nL 182.349019 148.428859 \nL 184.968957 146.743707 \nL 187.648351 144.862756 \nL 190.358468 142.78757 \nL 193.062862 140.525722 \nL 195.716633 138.092435 \nL 198.265986 135.512324 \nL 200.648269 132.821026 \nL 202.792682 130.066499 \nL 204.621895 127.309657 \nL 206.054779 124.623969 \nL 207.010364 122.093588 \nL 207.413023 119.809689 \nL 207.198644 117.864855 \nL 206.321268 116.345664 \nL 204.759392 115.324167 \nL 202.520906 114.849318 \nL 199.6456 114.939909 \nL 196.204409 115.580613 \nL 192.295073 116.722236 \nL 188.034609 118.286664 \nL 183.549681 120.175772 \nL 174.401371 124.502959 \nL 161.71158 131.017972 \nL 148.787987 137.918306 \nL 144.131193 140.580868 \nL 140.483425 142.898073 \nL 137.648617 145.00347 \nL 135.436478 146.993229 \nL 133.677763 148.925437 \nL 132.228927 150.828601 \nL 130.383041 153.645082 \nL 127.453829 158.190471 \nL 126.137101 159.926927 \nL 124.653203 161.599371 \nL 122.949824 163.194515 \nL 120.974295 164.695805 \nL 118.672104 166.080823 \nL 115.986419 167.31768 \nL 112.859029 168.360202 \nL 109.233417 169.141662 \nL 107.218036 169.406122 \nL 105.061053 169.566944 \nL 102.759469 169.606313 \nL 100.312543 169.503494 \nL 97.722546 169.234596 \nL 94.995688 168.772438 \nL 92.143201 168.086551 \nL 89.182597 167.143432 \nL 86.139043 165.907133 \nL 83.046814 164.340329 \nL 79.950703 162.406 \nL 76.907243 160.069868 \nL 73.985454 157.303723 \nL 71.266842 154.089669 \nL 68.844251 150.425179 \nL 66.819183 146.328637 \nL 65.297271 141.844823 \nL 64.381744 137.049343 \nL 64.165118 132.050842 \nL 64.719732 126.989761 \nL 66.088347 122.032496 \nL 68.276357 117.360661 \nL 71.247311 113.156028 \nL 74.923101 109.58303 \nL 79.189345 106.771759 \nL 83.905362 104.804592 \nL 88.917096 103.709182 \nL 94.0707 103.459023 \nL 99.224504 103.981088 \nL 104.257725 105.168485 \nL 109.075234 106.895248 \nL 113.608614 109.030444 \nL 117.814358 111.44966 \nL 121.670311 114.042741 \nL 125.1714 116.717903 \nL 128.325363 119.402743 \nL 131.148962 122.043129 \nL 133.664854 124.600825 \nL 137.879696 129.377503 \nL 141.191438 133.637817 \nL 143.81549 137.376465 \nL 150.876848 147.922428 \nL 152.417862 149.65767 \nL 154.051402 151.081769 \nL 155.844719 152.200003 \nL 157.857115 153.006154 \nL 160.142036 153.482375 \nL 162.747784 153.599066 \nL 165.716525 153.314955 \nL 169.081089 152.577843 \nL 172.858922 151.326794 \nL 177.042419 149.497079 \nL 181.58497 147.029617 \nL 183.961212 145.543628 \nL 186.382582 143.887194 \nL 188.823584 142.063188 \nL 191.252475 140.079496 \nL 193.630767 137.950254 \nL 195.912995 135.697116 \nL 198.046857 133.350399 \nL 199.973866 130.949938 \nL 201.63069 128.545473 \nL 202.951284 126.196211 \nL 203.869901 123.969405 \nL 204.324952 121.937649 \nL 204.263542 120.17483 \nL 203.646357 118.750897 \nL 202.452335 117.725793 \nL 200.682469 117.14327 \nL 198.362023 117.025612 \nL 195.540588 117.370204 \nL 192.289648 118.148834 \nL 188.697833 119.310121 \nL 184.864406 120.784858 \nL 180.891921 122.493356 \nL 172.91507 126.288485 \nL 165.417672 130.132568 \nL 155.897154 135.283194 \nL 150.882084 138.17937 \nL 146.87889 140.71046 \nL 143.755382 142.980035 \nL 141.355436 145.082976 \nL 139.525802 147.088307 \nL 138.129241 149.038012 \nL 137.049298 150.952726 \nL 135.819191 153.770957 \nL 134.244986 158.295511 \nL 132.990684 161.713628 \nL 131.870534 164.144063 \nL 130.480698 166.459138 \nL 129.349419 167.939593 \nL 128.010551 169.369928 \nL 126.420349 170.748337 \nL 124.528059 172.069403 \nL 122.274753 173.321649 \nL 119.592582 174.483962 \nL 116.404896 175.520404 \nL 112.62797 176.37274 \nL 108.175734 176.949951 \nL 105.671124 177.094574 \nL 102.969703 177.114101 \nL 100.065874 176.981052 \nL 96.957514 176.662706 \nL 93.647386 176.120541 \nL 90.144867 175.309848 \nL 86.468064 174.179642 \nL 82.646287 172.673089 \nL 78.722833 170.728678 \nL 74.757905 168.282515 \nL 70.831436 165.272115 \nL 67.04528 161.642035 \nL 63.524154 157.351651 \nL 60.414439 152.385075 \nL 57.879812 146.762661 \nL 56.092809 140.552856 \nL 55.221814 133.882168 \nL 55.413837 126.940162 \nL 56.77483 119.976118 \nL 59.350709 113.284492 \nL 63.113356 107.178708 \nL 67.955889 101.955818 \nL 73.699882 97.858438 \nL 80.114156 95.042383 \nL 86.941596 93.558038 \nL 93.927995 93.350027 \nL 100.846787 94.274269 \nL 107.515433 96.127012 \nL 113.802082 98.677775 \nL 119.62394 101.69891 \nL 124.940164 104.98703 \nL 129.74239 108.374967 \nL 134.045217 111.735322 \nL 137.878064 114.978114 \nL 144.289537 120.903037 \nL 149.311277 125.944191 \nL 160.264671 137.296907 \nL 162.436178 139.145271 \nL 164.468073 140.519639 \nL 166.458553 141.469325 \nL 168.477726 142.028157 \nL 170.571104 142.218244 \nL 172.761697 142.053968 \nL 175.050693 141.546324 \nL 177.417011 140.707777 \nL 179.816109 139.557737 \nL 182.178817 138.128549 \nL 184.411272 136.471522 \nL 186.397296 134.661866 \nL 188.004794 132.800922 \nL 189.097363 131.013535 \nL 189.410834 130.190726 \nL 189.551271 129.438733 \nL 189.508593 128.774444 \nL 189.276117 128.213252 \nL 188.851107 127.768358 \nL 188.235161 127.450097 \nL 187.434421 127.2654 \nL 186.459551 127.217421 \nL 185.325477 127.305407 \nL 182.65762 127.867542 \nL 179.612392 128.877092 \nL 176.392297 130.224705 \nL 173.19241 131.790919 \nL 170.178136 133.467527 \nL 167.473171 135.170243 \nL 165.157558 136.841638 \nL 163.273028 138.447083 \nL 161.832035 139.967453 \nL 160.827497 141.391792 \nL 160.241427 142.711561 \nL 160.051654 143.916937 \nL 160.236484 144.994829 \nL 160.777561 145.928039 \nL 161.661198 146.695082 \nL 162.878507 147.270267 \nL 164.424491 147.623949 \nL 166.296208 147.722876 \nL 168.489949 147.530864 \nL 170.9973 147.010066 \nL 173.799935 146.123316 \nL 176.862991 144.838143 \nL 180.12709 143.133036 \nL 183.499546 141.006584 \nL 186.846033 138.489433 \nL 189.985228 135.658015 \nL 191.407713 134.164028 \nL 192.690245 132.646973 \nL 193.79948 131.133714 \nL 194.701694 129.654707 \nL 195.364121 128.243261 \nL 195.756483 126.934397 \nL 195.852731 125.763345 \nL 195.632816 124.763681 \nL 195.084386 123.965315 \nL 194.204193 123.392416 \nL 192.999048 123.061566 \nL 191.486165 122.980352 \nL 189.69276 123.146663 \nL 187.654927 123.548774 \nL 185.415845 124.166282 \nL 183.023493 124.971816 \nL 177.979574 127.016408 \nL 172.90816 129.413425 \nL 168.127606 131.926533 \nL 163.856898 134.392095 \nL 160.21432 136.724287 \nL 157.236254 138.89707 \nL 154.90311 140.918901 \nL 153.163536 142.811184 \nL 151.953066 144.594555 \nL 151.206731 146.282309 \nL 150.866649 147.878666 \nL 150.88599 149.379502 \nL 151.23058 150.773914 \nL 151.879073 152.045666 \nL 152.82235 153.174086 \nL 154.06252 154.134319 \nL 155.611725 154.896967 \nL 157.490752 155.427194 \nL 159.727313 155.683514 \nL 162.353698 155.616389 \nL 165.403325 155.167032 \nL 168.905468 154.266924 \nL 172.877273 152.839004 \nL 177.311934 150.801967 \nL 179.690147 149.530685 \nL 182.161932 148.079922 \nL 184.711351 146.443958 \nL 187.316879 144.620235 \nL 189.950544 142.610551 \nL 192.577094 140.422457 \nL 195.153343 138.070782 \nL 197.62777 135.57923 \nL 199.940602 132.981852 \nL 202.024494 130.324227 \nL 203.806083 127.664 \nL 205.208525 125.070481 \nL 206.155184 122.622894 \nL 206.574417 120.407008 \nL 206.405264 118.509983 \nL 205.603559 117.013627 \nL 204.147752 115.986598 \nL 202.043526 115.476551 \nL 199.326236 115.503596 \nL 196.060426 116.056433 \nL 192.336104 117.092302 \nL 188.262054 118.54109 \nL 183.957156 120.313141 \nL 179.541026 122.30932 \nL 170.807722 126.591306 \nL 159.128989 132.673666 \nL 150.030014 137.607648 \nL 145.412738 140.289292 \nL 141.791037 142.632775 \nL 138.981355 144.763842 \nL 136.801932 146.77566 \nL 135.089294 148.726017 \nL 133.70397 150.644361 \nL 131.99283 153.481207 \nL 128.869394 158.955225 \nL 127.042925 161.537201 \nL 125.6112 163.181524 \nL 123.951514 164.752835 \nL 122.012876 166.237965 \nL 119.740613 167.617942 \nL 117.075867 168.8644 \nL 113.95632 169.93473 \nL 110.318887 170.765559 \nL 108.287379 171.063652 \nL 106.105526 171.264353 \nL 103.768598 171.349849 \nL 101.27389 171.299169 \nL 98.621491 171.087849 \nL 95.815239 170.687674 \nL 92.863864 170.066544 \nL 89.782351 169.188565 \nL 86.593474 168.014446 \nL 83.329484 166.502401 \nL 80.033835 164.609677 \nL 76.762793 162.294905 \nL 73.586696 159.521472 \nL 70.59048 156.262022 \nL 67.873064 152.504053 \nL 65.545118 148.256361 \nL 63.724688 143.555818 \nL 62.530427 138.473414 \nL 62.072466 133.118258 \nL 62.441488 127.637878 \nL 63.697248 122.213283 \nL 65.858404 117.047986 \nL 68.895813 112.351215 \nL 72.731186 108.317293 \nL 77.242115 105.104548 \nL 82.273055 102.817819 \nL 87.650459 101.498276 \nL 93.199168 101.122578 \nL 98.757176 101.611056 \nL 104.186497 102.84262 \nL 109.379115 104.672663 \nL 114.258286 106.950392 \nL 118.776287 109.53286 \nL 122.909997 112.294415 \nL 126.65566 115.131497 \nL 130.023753 117.963651 \nL 133.03451 120.731911 \nL 135.714323 123.39576 \nL 140.201801 128.318898 \nL 143.734076 132.645763 \nL 147.751878 138.048173 \nL 151.732966 143.492846 \nL 153.473215 145.578119 \nL 155.198977 147.289242 \nL 156.998762 148.648138 \nL 158.945649 149.663841 \nL 161.100521 150.332924 \nL 163.513943 150.640106 \nL 166.226379 150.559108 \nL 169.266398 150.054138 \nL 172.646465 149.082547 \nL 176.355897 147.599582 \nL 180.350703 145.566482 \nL 184.540558 142.963191 \nL 186.66412 141.451006 \nL 188.774171 139.80685 \nL 190.840142 138.042596 \nL 192.826395 136.175578 \nL 194.69239 134.229322 \nL 196.393199 132.234093 \nL 197.880458 130.227101 \nL 199.103822 128.252202 \nL 200.012997 126.358982 \nL 200.560289 124.601072 \nL 200.703614 123.033635 \nL 200.409744 121.710089 \nL 199.657514 120.678284 \nL 198.440577 119.976484 \nL 196.769345 119.629682 \nL 194.671661 119.646802 \nL 192.192033 120.019346 \nL 189.389317 120.721847 \nL 186.333083 121.714139 \nL 183.099096 122.945238 \nL 176.403083 125.895 \nL 169.858002 129.13051 \nL 163.875483 132.314817 \nL 158.690791 135.262618 \nL 154.385798 137.920265 \nL 150.935666 140.314969 \nL 148.255102 142.506249 \nL 146.233434 144.55422 \nL 144.757109 146.504847 \nL 143.722228 148.386616 \nL 143.040361 150.212925 \nL 142.640246 151.986349 \nL 142.467242 153.702758 \nL 142.481707 155.354468 \nL 142.657025 156.932283 \nL 142.977704 158.426604 \nL 143.437768 159.82782 \nL 144.039516 161.126167 \nL 144.792704 162.31126 \nL 145.7141 163.371342 \nL 146.827385 164.292313 \nL 148.16335 165.056508 \nL 149.760282 165.641183 \nL 151.664457 166.016653 \nL 153.930534 166.143947 \nL 156.621568 165.971967 \nL 159.808146 165.434111 \nL 163.565847 164.444559 \nL 167.969735 162.894838 \nL 173.083915 160.652002 \nL 175.920135 159.222904 \nL 178.943317 157.561223 \nL 182.148415 155.646125 \nL 185.524047 153.457786 \nL 189.050688 150.97888 \nL 192.698616 148.196618 \nL 196.425637 145.105422 \nL 200.174743 141.710257 \nL 203.87192 138.030649 \nL 207.424415 134.105163 \nL 210.719994 129.996015 \nL 213.627776 125.79313 \nL 216.001437 121.616644 \nL 217.685509 117.616508 \nL 218.525343 113.967669 \nL 218.380798 110.859408 \nL 217.142905 108.478239 \nL 214.751379 106.985258 \nL 211.209918 106.49091 \nL 206.595218 107.032466 \nL 201.056145 108.560516 \nL 194.801418 110.93993 \nL 188.077154 113.967052 \nL 181.138837 117.399944 \nL 150.018396 133.477854 \nL 140.923756 137.61226 \nL 133.763771 140.509865 \nL 116.416777 147.092216 \nL 109.093529 150.377786 \nL 107.034253 151.050564 \nL 104.880724 151.529729 \nL 102.612348 151.766161 \nL 100.230993 151.708416 \nL 97.762013 151.304634 \nL 95.256044 150.505967 \nL 94.01236 149.945434 \nL 92.790679 149.272186 \nL 91.604954 148.483903 \nL 90.4707 147.579992 \nL 89.404792 146.561958 \nL 88.42518 145.433806 \nL 87.550503 144.2024 \nL 86.799594 142.877775 \nL 86.190868 141.473367 \nL 85.741653 140.006098 \nL 85.467429 138.496297 \nL 85.381059 136.96741 \nL 85.492037 135.445491 \nL 85.805839 133.958456 \nL 86.323385 132.53514 \nL 87.040735 131.204197 \nL 87.948998 129.992889 \nL 89.034518 128.925918 \nL 90.27932 128.024329 \nL 91.661785 127.304608 \nL 93.157516 126.778067 \nL 94.74032 126.450562 \nL 96.383211 126.322493 \nL 98.059404 126.389176 \nL 99.743187 126.64146 \nL 101.410649 127.066504 \nL 103.040235 127.648695 \nL 104.613104 128.370562 \nL 106.113313 129.213667 \nL 107.527844 130.159374 \nL 108.846497 131.189494 \nL 111.168195 133.435314 \nL 113.04405 135.829904 \nL 114.467189 138.277038 \nL 115.448418 140.704946 \nL 116.007864 143.062562 \nL 116.168589 145.314531 \nL 115.952204 147.436233 \nL 115.376233 149.409296 \nL 114.452885 151.217771 \nL 113.189018 152.844823 \nL 111.587078 154.269858 \nL 109.647019 155.465846 \nL 107.36925 156.396833 \nL 104.758852 157.015686 \nL 101.831261 157.262372 \nL 100.257974 157.223684 \nL 98.619728 157.063388 \nL 96.924972 156.770469 \nL 95.184488 156.333484 \nL 93.411744 155.740857 \nL 91.623188 154.981305 \nL 89.838535 154.044365 \nL 88.080953 152.921097 \nL 86.377118 151.604906 \nL 84.7571 150.092501 \nL 83.254024 148.384985 \nL 81.903451 146.488964 \nL 80.742428 144.417643 \nL 79.808214 142.191761 \nL 79.136667 139.840244 \nL 78.760368 137.400386 \nL 78.70659 134.917448 \nL 78.995252 132.443539 \nL 79.637096 130.035714 \nL 80.632279 127.753359 \nL 81.969601 125.655054 \nL 83.626512 123.795141 \nL 85.569977 122.220361 \nL 87.758137 120.967043 \nL 90.14259 120.059019 \nL 92.671094 119.506687 \nL 95.290358 119.307155 \nL 97.948656 119.445448 \nL 100.598039 119.896597 \nL 103.195978 120.628162 \nL 105.706422 121.602986 \nL 108.10024 122.781824 \nL 110.355186 124.125589 \nL 112.455484 125.597144 \nL 114.391142 127.162543 \nL 116.15714 128.791782 \nL 117.752555 130.459136 \nL 119.179714 132.143136 \nL 120.44341 133.82634 \nL 122.507797 137.138358 \nL 124.009229 140.320255 \nL 125.016012 143.333509 \nL 125.591938 146.163423 \nL 125.790993 148.809621 \nL 125.654831 151.279369 \nL 125.211997 153.583064 \nL 124.478153 155.731198 \nL 123.456814 157.732178 \nL 122.140301 159.590602 \nL 120.510792 161.305549 \nL 118.541515 162.868621 \nL 116.198245 164.2614 \nL 113.4415 165.45209 \nL 110.229991 166.391049 \nL 108.44162 166.744369 \nL 106.526224 167.005143 \nL 104.481168 167.159467 \nL 102.305429 167.19112 \nL 100.000162 167.081378 \nL 97.569392 166.808893 \nL 95.020829 166.349649 \nL 92.366789 165.677096 \nL 89.625253 164.762478 \nL 86.820968 163.575488 \nL 83.986599 162.085309 \nL 81.163768 160.262184 \nL 78.403878 158.079567 \nL 75.768513 155.516969 \nL 73.329152 152.563428 \nL 71.16596 149.221558 \nL 69.365337 145.511822 \nL 68.016059 141.476586 \nL 67.203921 137.183215 \nL 67.005149 132.725383 \nL 67.479036 128.221651 \nL 68.660743 123.810676 \nL 70.555352 119.642779 \nL 73.134415 115.868466 \nL 76.33594 112.625124 \nL 80.068176 110.024018 \nL 84.216881 108.139782 \nL 88.654975 107.004369 \nL 93.252973 106.606446 \nL 97.888604 106.896125 \nL 102.454296 107.793714 \nL 106.861862 109.200629 \nL 111.044368 111.010399 \nL 114.955618 113.11815 \nL 118.568031 115.427681 \nL 121.869604 117.855749 \nL 124.860632 120.333978 \nL 127.550577 122.808812 \nL 129.955346 125.240273 \nL 132.09504 127.600035 \nL 135.670513 132.036543 \nL 138.465257 136.046011 \nL 140.660829 139.623177 \nL 143.178909 144.239397 \nL 146.344964 150.244266 \nL 147.524866 152.147703 \nL 148.762587 153.797598 \nL 150.116605 155.203279 \nL 151.640453 156.365208 \nL 153.385456 157.274564 \nL 155.402759 157.912558 \nL 157.744488 158.24944 \nL 160.463838 158.24325 \nL 163.613647 157.838494 \nL 167.242782 156.965178 \nL 171.389372 155.539097 \nL 176.069514 153.464884 \nL 178.604538 152.153768 \nL 181.259865 150.644381 \nL 184.02233 148.926841 \nL 186.872771 146.993965 \nL 189.784865 144.842623 \nL 192.723947 142.475367 \nL 195.645914 139.902371 \nL 198.496326 137.14354 \nL 201.20994 134.230724 \nL 203.710895 131.209727 \nL 205.913839 128.141831 \nL 207.726299 125.104297 \nL 209.052567 122.189351 \nL 209.799224 119.501068 \nL 209.882192 117.149743 \nL 209.234887 115.243654 \nL 207.816611 113.878724 \nL 205.61991 113.127221 \nL 202.675457 113.027372 \nL 199.053067 113.576072 \nL 194.85803 114.726814 \nL 190.222865 116.393851 \nL 185.295678 118.462279 \nL 180.227076 120.802143 \nL 170.209843 125.790572 \nL 141.588306 140.651155 \nL 137.568255 142.950897 \nL 134.42871 144.999929 \nL 131.949221 146.916652 \nL 129.93624 148.770812 \nL 127.443196 151.499432 \nL 122.903988 156.753375 \nL 121.205813 158.389731 \nL 119.302799 159.9325 \nL 117.137442 161.353697 \nL 114.656148 162.618188 \nL 111.809307 163.680057 \nL 108.553404 164.477997 \nL 106.76125 164.753301 \nL 104.85589 164.929884 \nL 102.836373 164.993292 \nL 100.70376 164.9271 \nL 98.461676 164.712817 \nL 96.11695 164.329893 \nL 93.680356 163.755833 \nL 91.167434 162.966488 \nL 88.599352 161.936597 \nL 86.003795 160.640633 \nL 83.415766 159.054029 \nL 80.878214 157.154858 \nL 78.442356 154.926009 \nL 76.167479 152.357846 \nL 74.120072 149.451271 \nL 72.372055 146.220998 \nL 70.997954 142.698703 \nL 70.070998 138.935584 \nL 69.658193 135.003701 \nL 69.814739 130.995498 \nL 70.578316 127.020928 \nL 71.964038 123.201956 \nL 73.960917 119.664542 \nL 76.530613 116.528928 \nL 79.608947 113.899428 \nL 83.110186 111.855257 \nL 86.933571 110.444017 \nL 90.971128 109.678823 \nL 95.115585 109.539494 \nL 99.26734 109.977335 \nL 103.339642 110.922446 \nL 107.261692 112.292114 \nL 110.97972 113.998956 \nL 114.456414 115.957758 \nL 117.669218 118.090501 \nL 120.608028 120.329402 \nL 123.272685 122.61824 \nL 125.670575 124.91235 \nL 127.814502 127.177714 \nL 129.720911 129.389569 \nL 132.896873 133.590557 \nL 135.356096 137.443955 \nL 137.252328 140.936574 \nL 138.723674 144.08508 \nL 140.386717 148.227831 \nL 143.567277 156.580535 \nL 144.382826 158.174423 \nL 145.290033 159.594179 \nL 146.325428 160.841874 \nL 147.526239 161.91376 \nL 148.932231 162.799754 \nL 150.587264 163.482562 \nL 152.540542 163.936376 \nL 154.847457 164.125046 \nL 157.569758 163.999742 \nL 160.774619 163.496146 \nL 164.531806 162.53146 \nL 168.907715 161.001934 \nL 173.954438 158.782425 \nL 176.737367 157.369868 \nL 179.691238 155.73074 \nL 182.808546 153.846892 \nL 186.075358 151.701725 \nL 189.469647 149.281713 \nL 192.959414 146.57841 \nL 196.500705 143.591001 \nL 200.035648 140.329412 \nL 203.490722 136.817923 \nL 206.775616 133.099021 \nL 209.783112 129.237186 \nL 212.390562 125.32186 \nL 214.463568 121.468748 \nL 215.862437 117.818259 \nL 216.451752 114.529879 \nL 216.112863 111.771566 \nL 214.75839 109.703936 \nL 212.346806 108.460509 \nL 208.894279 108.126882 \nL 204.480645 108.723261 \nL 199.246875 110.195399 \nL 193.383191 112.417701 \nL 187.10936 115.209276 \nL 180.651111 118.359723 \nL 162.084199 128.003756 \nL 151.594839 133.309168 \nL 143.017791 137.338202 \nL 133.416612 141.461005 \nL 125.078565 145.020481 \nL 120.856011 147.15162 \nL 117.510685 149.130565 \nL 113.506862 151.558898 \nL 111.46165 152.624393 \nL 109.292396 153.537367 \nL 106.953802 154.249233 \nL 104.420091 154.704979 \nL 101.686166 154.842922 \nL 98.770718 154.595094 \nL 97.258402 154.304045 \nL 95.720926 153.889453 \nL 94.169558 153.342533 \nL 92.618031 152.655145 \nL 91.082646 151.820199 \nL 89.582311 150.832196 \nL 88.138486 149.6878 \nL 86.774994 148.386542 \nL 85.517661 146.931513 \nL 84.393779 145.330085 \nL 83.431368 143.594584 \nL 82.658209 141.7428 \nL 82.100708 139.798299 \nL 81.782594 137.790417 \nL 81.723564 135.753865 \nL 81.937938 133.727884 \nL 82.433472 131.754946 \nL 83.210448 129.879009 \nL 84.261153 128.143481 \nL 85.569856 126.589003 \nL 87.113287 125.251275 \nL 88.861625 124.15917 \nL 90.779909 123.333282 \nL 92.829748 122.785081 \nL 94.971131 122.516793 \nL 97.164236 122.521896 \nL 99.371018 122.786207 \nL 101.556529 123.289348 \nL 103.689856 124.006476 \nL 105.744715 124.910004 \nL 107.699667 125.971209 \nL 109.538061 127.161635 \nL 111.24775 128.454164 \nL 112.820639 129.823809 \nL 114.252161 131.24819 \nL 115.540688 132.707761 \nL 116.686978 134.185843 \nL 118.564582 137.144377 \nL 119.919475 140.041166 \nL 120.795577 142.825098 \nL 121.237264 145.467511 \nL 121.283647 147.954353 \nL 120.965324 150.280036 \nL 120.302901 152.442744 \nL 119.3067 154.440885 \nL 117.977283 156.27019 \nL 116.306591 157.921124 \nL 114.27967 159.376286 \nL 111.877145 160.607519 \nL 109.078801 161.572603 \nL 107.525886 161.937384 \nL 105.868787 162.211516 \nL 104.107444 162.384081 \nL 102.243181 162.442591 \nL 100.279132 162.372942 \nL 98.220728 162.159391 \nL 96.076241 161.784656 \nL 93.857408 161.230083 \nL 91.58007 160.476017 \nL 89.26484 159.502341 \nL 86.937742 158.289264 \nL 84.63075 156.818436 \nL 82.382144 155.074364 \nL 80.236591 153.046183 \nL 78.244788 150.729744 \nL 76.462575 148.129937 \nL 74.949356 145.263054 \nL 73.765771 142.15899 \nL 72.970601 138.862858 \nL 72.616997 135.435698 \nL 72.748336 131.953776 \nL 73.39404 128.506224 \nL 74.56595 125.190828 \nL 76.255772 122.108145 \nL 78.43415 119.35448 \nL 81.051647 117.014494 \nL 84.041664 115.154533 \nL 87.324995 113.817633 \nL 90.815395 113.020997 \nL 94.425412 112.756217 \nL 98.071748 112.992081 \nL 101.679545 113.679334 \nL 105.185272 114.756526 \nL 108.538179 116.155966 \nL 111.70048 117.809134 \nL 114.646547 119.650914 \nL 117.361487 121.622553 \nL 119.839401 123.673357 \nL 122.08157 125.761266 \nL 124.094747 127.852661 \nL 125.889636 129.921661 \nL 127.479608 131.949098 \nL 130.105569 135.829687 \nL 132.098503 139.435057 \nL 133.580497 142.750813 \nL 134.660441 145.787249 \nL 135.430205 148.566495 \nL 136.161421 152.311164 \nL 136.543081 155.624932 \nL 136.708046 159.504359 \nL 136.616924 162.89729 \nL 136.330935 165.909446 \nL 135.849052 168.620101 \nL 135.33205 170.493901 \nL 134.642427 172.257848 \nL 133.727435 173.934416 \nL 132.514041 175.54505 \nL 131.491568 176.59195 \nL 130.255398 177.623031 \nL 128.759771 178.641269 \nL 126.949231 179.646549 \nL 124.756979 180.633479 \nL 122.1033 181.58792 \nL 118.894437 182.481576 \nL 115.0227 183.26365 \nL 110.369215 183.848311 \nL 107.710904 184.025848 \nL 104.811905 184.096392 \nL 101.659325 184.030049 \nL 98.243115 183.790017 \nL 94.557673 183.331468 \nL 90.603963 182.600458 \nL 86.392241 181.533028 \nL 81.945463 180.054749 \nL 77.303409 178.081072 \nL 72.527426 175.519009 \nL 67.705585 172.27082 \nL 62.957645 168.240541 \nL 58.43894 163.344176 \nL 54.341708 157.524156 \nL 50.892 150.76801 \nL 48.339998 143.129884 \nL 46.941873 134.751672 \nL 46.932785 125.878176 \nL 48.492934 116.859088 \nL 51.712192 108.130575 \nL 56.56193 100.172989 \nL 62.883553 93.448174 \nL 70.400386 88.328621 \nL 78.752895 85.037004 \nL 87.549026 83.613903 \nL 96.4164 83.923096 \nL 105.043199 85.690966 \nL 113.200129 88.565772 \nL 120.743179 92.178737 \nL 127.602403 96.192476 \nL 133.763977 100.330097 \nL 139.251603 104.385493 \nL 144.11087 108.219936 \nL 152.171451 114.939579 \nL 165.201517 125.941413 \nL 169.836332 129.494261 \nL 173.011216 131.614415 \nL 175.174814 132.809162 \nL 177.239821 133.657009 \nL 177.962769 133.952616 \nL 177.942697 133.991214 \nL 177.560265 134.208486 \nL 175.946631 135.095505 \nL 174.908193 135.880082 \nL 174.224305 136.668896 \nL 174.064363 137.192747 \nL 174.198583 137.47376 \nL 174.54737 137.630466 \nL 175.090262 137.644649 \nL 176.051916 137.427058 \nL 177.168253 136.949502 \nL 178.275315 136.264044 \nL 179.185975 135.469209 \nL 179.719164 134.701571 \nL 179.787809 134.234501 \nL 179.658998 134.007249 \nL 179.390958 133.862814 \nL 178.748922 133.818602 \nL 177.873746 133.98591 \nL 176.496666 134.504385 \nL 175.103059 135.270247 \nL 173.926456 136.155993 \nL 173.149292 137.029757 \nL 172.898589 137.604491 \nL 172.95743 138.060752 \nL 173.169099 138.280226 \nL 173.732573 138.458831 \nL 174.560566 138.435435 \nL 175.60121 138.196404 \nL 177.193435 137.546893 \nL 178.812803 136.575511 \nL 179.883841 135.711581 \nL 180.698301 134.820685 \nL 181.146767 134.000689 \nL 181.20134 133.543417 \nL 181.044696 133.189394 \nL 180.676144 132.960037 \nL 180.107425 132.869367 \nL 178.934194 133.002781 \nL 177.489123 133.440042 \nL 175.92622 134.126457 \nL 174.405577 134.985371 \nL 173.070769 135.933377 \nL 172.034436 136.891293 \nL 171.373149 137.78912 \nL 171.129257 138.566367 \nL 171.206133 138.991224 \nL 171.472775 139.324839 \nL 171.922845 139.554293 \nL 172.546011 139.667994 \nL 173.772628 139.600485 \nL 175.287629 139.228117 \nL 176.997037 138.546879 \nL 178.776723 137.580034 \nL 180.471753 136.386813 \nL 181.903011 135.067917 \nL 182.618377 134.18657 \nL 183.082645 133.359253 \nL 183.254303 132.635682 \nL 183.106283 132.062359 \nL 182.6303 131.677569 \nL 181.839526 131.50692 \nL 180.768776 131.560408 \nL 179.471963 131.831737 \nL 177.25394 132.598379 \nL 174.936414 133.694048 \nL 172.762637 134.986852 \nL 170.929 136.352809 \nL 169.570069 137.68949 \nL 168.967304 138.523763 \nL 168.620568 139.288898 \nL 168.533163 139.966807 \nL 168.703024 140.54036 \nL 169.124027 140.992821 \nL 169.786743 141.307641 \nL 170.678601 141.468599 \nL 171.783463 141.460318 \nL 173.080681 141.269157 \nL 174.543707 140.884534 \nL 176.138415 140.300669 \nL 177.821312 139.518782 \nL 179.538014 138.549626 \nL 181.222396 137.416125 \nL 182.796987 136.155674 \nL 184.175282 134.821424 \nL 185.266476 133.481722 \nL 185.982907 132.216832 \nL 186.249789 131.112444 \nL 186.197477 130.64642 \nL 186.016051 130.250242 \nL 185.704451 129.93169 \nL 185.26416 129.696944 \nL 184.699269 129.550331 \nL 183.224844 129.528666 \nL 181.362393 129.860413 \nL 179.222426 130.509252 \nL 176.931285 131.416974 \nL 174.616412 132.5146 \nL 171.347345 134.368358 \nL 169.433838 135.657686 \nL 167.805596 136.937775 \nL 166.499418 138.176689 \nL 165.533855 139.350753 \nL 164.914066 140.441323 \nL 164.636419 141.431935 \nL 164.692292 142.306217 \nL 165.070816 143.046594 \nL 165.760529 143.633635 \nL 166.749984 144.045919 \nL 168.027392 144.260286 \nL 169.579379 144.252511 \nL 171.388891 143.998417 \nL 173.432291 143.475644 \nL 175.675723 142.666251 \nL 178.070935 141.560358 \nL 180.550932 140.160986 \nL 183.026196 138.489892 \nL 185.382611 136.593858 \nL 187.482707 134.550033 \nL 189.172008 132.468293 \nL 189.812747 131.455807 \nL 190.292061 130.487811 \nL 190.592795 129.584362 \nL 190.700325 128.76539 \nL 190.603379 128.049868 \nL 190.294783 127.454918 \nL 189.772102 126.99492 \nL 189.038077 126.680739 \nL 188.100818 126.519055 \nL 186.97372 126.511997 \nL 185.675072 126.657022 \nL 182.656547 127.371425 \nL 179.258824 128.56376 \nL 175.713315 130.100258 \nL 172.235677 131.842364 \nL 169.001525 133.671222 \nL 166.135327 135.500016 \nL 163.711179 137.274494 \nL 161.76128 138.965868 \nL 160.287567 140.561167 \nL 159.273197 142.054557 \nL 158.692113 143.441138 \nL 158.516119 144.713338 \nL 158.719564 145.859214 \nL 159.282033 146.86195 \nL 160.189519 147.699896 \nL 161.434375 148.346727 \nL 163.014339 148.771638 \nL 164.930649 148.939507 \nL 167.185239 148.811238 \nL 169.776796 148.344653 \nL 172.695432 147.496333 \nL 175.915689 146.225197 \nL 179.38774 144.498533 \nL 183.027052 142.301389 \nL 186.703577 139.649787 \nL 190.232847 136.607208 \nL 191.868837 134.976395 \nL 193.373202 133.301698 \nL 194.7083 131.611186 \nL 195.835033 129.937737 \nL 196.714241 128.318423 \nL 197.308418 126.793427 \nL 197.583739 125.404447 \nL 197.51228 124.192608 \nL 197.074235 123.195989 \nL 196.259915 122.44696 \nL 195.071317 121.969635 \nL 193.522974 121.777723 \nL 191.641904 121.873142 \nL 189.46661 122.245663 \nL 187.04512 122.873696 \nL 184.432294 123.726165 \nL 178.867194 125.949452 \nL 173.22706 128.588956 \nL 167.891913 131.353511 \nL 163.121327 134.043251 \nL 159.051524 136.55827 \nL 155.719212 138.875018 \nL 153.094429 141.012866 \nL 151.11055 143.006109 \nL 149.686736 144.886755 \nL 148.742566 146.676856 \nL 148.206457 148.387019 \nL 148.019781 150.017936 \nL 148.138277 151.562842 \nL 148.531932 153.009705 \nL 149.184102 154.34275 \nL 150.090375 155.543143 \nL 151.257432 156.58897 \nL 152.701998 157.454577 \nL 154.449879 158.10941 \nL 156.534941 158.516436 \nL 158.997754 158.630243 \nL 161.883504 158.395014 \nL 165.238517 157.742656 \nL 169.104487 156.59174 \nL 173.509151 154.848387 \nL 175.914916 153.722865 \nL 178.451817 152.411087 \nL 181.111838 150.901096 \nL 183.882098 149.182517 \nL 186.74375 147.247601 \nL 189.670811 145.092597 \nL 192.628951 142.719373 \nL 195.574348 140.137363 \nL 198.452754 137.365722 \nL 201.198964 134.435571 \nL 203.736923 131.392084 \nL 205.980779 128.296103 \nL 207.837192 125.224772 \nL 209.209155 122.270629 \nL 210.001492 119.538628 \nL 210.127966 117.140573 \nL 209.519539 115.18689 \nL 208.13296 113.776166 \nL 205.958403 112.983604 \nL 203.024662 112.850245 \nL 199.400451 113.375275 \nL 195.190944 114.513553 \nL 190.529578 116.179484 \nL 185.566276 118.25711 \nL 180.454079 120.61442 \nL 170.337952 125.651687 \nL 141.402092 140.632743 \nL 137.337685 142.932399 \nL 134.162641 144.975899 \nL 131.653528 146.884323 \nL 129.614317 148.728946 \nL 127.08407 151.442261 \nL 122.461977 156.659781 \nL 120.730665 158.279844 \nL 118.791156 159.802456 \nL 116.586092 161.198129 \nL 114.062531 162.429846 \nL 111.172225 163.449376 \nL 107.874055 164.192668 \nL 106.062349 164.435073 \nL 104.139317 164.574507 \nL 102.104799 164.596129 \nL 99.960805 164.483166 \nL 97.712079 164.21686 \nL 95.366753 163.776501 \nL 92.937089 163.139622 \nL 90.440284 162.282355 \nL 87.899315 161.180076 \nL 85.343754 159.808335 \nL 82.810497 158.144211 \nL 80.344246 156.168084 \nL 77.997666 153.865904 \nL 75.830955 151.231883 \nL 73.910722 148.271519 \nL 72.30793 145.004718 \nL 71.094842 141.468641 \nL 70.340899 137.719807 \nL 70.107781 133.834807 \nL 70.443939 129.90914 \nL 71.379281 126.05362 \nL 72.920731 122.388301 \nL 75.049479 119.034251 \nL 77.720576 116.103978 \nL 80.865209 113.691864 \nL 84.395487 111.866068 \nL 88.211138 110.663269 \nL 92.207079 110.087025 \nL 96.280821 110.109942 \nL 100.338711 110.678996 \nL 104.300377 111.722892 \nL 108.101183 113.160083 \nL 111.692834 114.906268 \nL 115.042546 116.880512 \nL 118.131262 119.00957 \nL 120.951377 121.230383 \nL 123.504367 123.491037 \nL 125.798534 125.75053 \nL 127.847045 127.977805 \nL 129.666289 130.150379 \nL 132.69109 134.275404 \nL 135.025828 138.062189 \nL 136.818241 141.500563 \nL 138.200273 144.607646 \nL 139.744057 148.710819 \nL 142.925301 157.905154 \nL 144.059434 160.155682 \nL 144.941197 161.45782 \nL 145.961903 162.60103 \nL 147.156699 163.57906 \nL 148.564462 164.379698 \nL 150.229175 164.983736 \nL 152.201082 165.363499 \nL 154.537492 165.480792 \nL 157.302968 165.284316 \nL 160.568408 164.706512 \nL 164.408201 163.660178 \nL 168.894122 162.035504 \nL 174.083919 159.699141 \nL 176.952392 158.216796 \nL 180.001752 156.4983 \nL 183.224652 154.523863 \nL 186.606931 152.27523 \nL 190.125784 149.73731 \nL 193.747708 146.900363 \nL 197.426297 143.7628 \nL 201.100027 140.334637 \nL 204.690322 136.641487 \nL 208.10021 132.728945 \nL 211.214157 128.666802 \nL 213.89964 124.55247 \nL 216.011255 120.512449 \nL 217.397965 116.700532 \nL 217.913906 113.291341 \nL 217.432526 110.468049 \nL 215.862964 108.404167 \nL 213.166308 107.240894 \nL 209.368479 107.063551 \nL 204.56601 107.882509 \nL 198.921808 109.624444 \nL 192.650186 112.138096 \nL 185.993476 115.214767 \nL 179.195129 118.619179 \nL 154.332862 131.550786 \nL 144.653933 136.165852 \nL 136.949006 139.478118 \nL 128.453612 142.778852 \nL 121.035369 145.694868 \nL 117.144864 147.497625 \nL 109.877655 151.077552 \nL 107.779272 151.833315 \nL 105.561992 152.392531 \nL 103.203479 152.70378 \nL 100.703475 152.711905 \nL 98.085519 152.35952 \nL 95.399676 151.590104 \nL 94.054919 151.032909 \nL 92.725416 150.353651 \nL 91.425968 149.548553 \nL 90.173269 148.615548 \nL 88.985737 147.55474 \nL 87.883248 146.368868 \nL 86.886751 145.06379 \nL 86.017743 143.648913 \nL 85.297617 142.137536 \nL 84.746888 140.547059 \nL 84.384317 138.898998 \nL 84.225985 137.218774 \nL 84.284362 135.535191 \nL 84.567456 133.879669 \nL 85.078115 132.285168 \nL 85.813548 130.784888 \nL 86.765125 129.410844 \nL 87.918529 128.192379 \nL 89.254201 127.154783 \nL 90.748126 126.318145 \nL 92.372834 125.69649 \nL 94.098591 125.29736 \nL 95.89462 125.121783 \nL 97.730318 125.164691 \nL 99.576329 125.415617 \nL 101.405433 125.859694 \nL 103.193215 126.478768 \nL 104.918502 127.25254 \nL 106.563563 128.159638 \nL 108.114126 129.178583 \nL 109.559227 130.288549 \nL 110.89095 131.469953 \nL 112.104086 132.704857 \nL 114.165009 135.272882 \nL 115.739875 137.887488 \nL 116.845899 140.472681 \nL 117.509893 142.976578 \nL 117.761002 145.365299 \nL 117.625812 147.617081 \nL 117.125413 149.717277 \nL 116.274025 151.654161 \nL 115.078805 153.415498 \nL 113.540612 154.985511 \nL 111.655648 156.342132 \nL 109.418059 157.454269 \nL 106.823687 158.279084 \nL 103.87533 158.75946 \nL 102.272904 158.848225 \nL 100.589918 158.822048 \nL 98.832242 158.669154 \nL 97.007931 158.376856 \nL 95.127637 157.931743 \nL 93.205031 157.319988 \nL 91.257221 156.52778 \nL 89.305113 155.541912 \nL 87.373724 154.350551 \nL 85.492324 152.944206 \nL 83.694423 151.316872 \nL 82.017451 149.467353 \nL 80.502132 147.400675 \nL 79.191446 145.129517 \nL 78.129141 142.675491 \nL 77.35783 140.070114 \nL 76.916685 137.355236 \nL 76.838888 134.582718 \nL 77.149053 131.813192 \nL 77.86084 129.113781 \nL 78.975115 126.554886 \nL 80.478908 124.206186 \nL 82.345409 122.132225 \nL 84.535055 120.388153 \nL 86.997701 119.016051 \nL 89.675584 118.042392 \nL 92.506788 117.476935 \nL 95.428787 117.313126 \nL 98.381681 117.529898 \nL 101.310842 118.094491 \nL 104.168796 118.965868 \nL 106.916285 120.098252 \nL 109.522598 121.444386 \nL 111.965297 122.958249 \nL 114.229505 124.59707 \nL 116.306935 126.322634 \nL 118.19481 128.101966 \nL 119.894767 129.907495 \nL 121.411819 131.716849 \nL 122.753448 133.5124 \nL 124.948049 137.011832 \nL 126.560844 140.337187 \nL 127.675831 143.458484 \nL 128.369494 146.369719 \nL 128.706009 149.078509 \nL 128.735331 151.599261 \nL 128.493015 153.948895 \nL 128.000911 156.144217 \nL 127.268239 158.200289 \nL 126.292668 160.129334 \nL 125.061261 161.939802 \nL 123.551236 163.635368 \nL 121.730587 165.213543 \nL 119.558747 166.663705 \nL 116.987584 167.964183 \nL 113.963188 169.078121 \nL 110.429247 169.947744 \nL 108.454351 170.265339 \nL 106.333102 170.486793 \nL 104.061195 170.59535 \nL 101.636198 170.571247 \nL 99.058285 170.39143 \nL 96.331123 170.029309 \nL 93.462946 169.454646 \nL 90.467817 168.633622 \nL 87.367057 167.529227 \nL 84.190814 166.102055 \nL 80.979667 164.311691 \nL 77.786146 162.118857 \nL 74.675926 159.488453 \nL 71.728407 156.39364 \nL 69.03625 152.820935 \nL 66.703489 148.776121 \nL 64.841734 144.290504 \nL 63.564177 139.426662 \nL 62.977399 134.282476 \nL 63.171437 128.991996 \nL 64.209115 123.721741 \nL 66.116251 118.661476 \nL 68.874694 114.009621 \nL 72.419974 109.954663 \nL 76.644694 106.655445 \nL 81.407588 104.224015 \nL 86.546819 102.714457 \nL 91.89514 102.11999 \nL 97.294181 102.378597 \nL 102.605619 103.385411 \nL 107.718016 105.008828 \nL 112.549242 107.106905 \nL 117.045298 109.541376 \nL 121.176758 112.187702 \nL 124.934097 114.940827 \nL 128.322842 117.717148 \nL 131.359187 120.453773 \nL 134.066353 123.106086 \nL 138.604821 128.0515 \nL 142.173669 132.441312 \nL 145.003543 136.267581 \nL 151.806423 145.85992 \nL 153.44896 147.705577 \nL 155.146816 149.21028 \nL 156.975246 150.385518 \nL 158.998149 151.230584 \nL 161.270504 151.732797 \nL 163.839357 151.86785 \nL 166.743039 151.600462 \nL 170.00817 150.885804 \nL 173.643952 149.672433 \nL 177.633197 147.907921 \nL 181.919749 145.548672 \nL 184.142452 144.138532 \nL 186.392616 142.575623 \nL 188.644937 140.865137 \nL 190.868622 139.017019 \nL 193.027119 137.046966 \nL 195.078096 134.977392 \nL 196.973778 132.838223 \nL 198.661776 130.667384 \nL 200.086453 128.510805 \nL 201.190989 126.421729 \nL 201.920085 124.459155 \nL 202.223304 122.685283 \nL 202.058818 121.161974 \nL 201.397296 119.94638 \nL 200.225448 119.086117 \nL 198.548739 118.614605 \nL 196.392754 118.547215 \nL 193.802831 118.879062 \nL 190.841804 119.584876 \nL 187.586025 120.621232 \nL 184.120152 121.930844 \nL 180.53135 123.448299 \nL 173.313688 126.841221 \nL 166.494718 130.332035 \nL 160.44046 133.615712 \nL 155.319583 136.565017 \nL 151.150058 139.18081 \nL 147.857174 141.527366 \nL 145.321625 143.683231 \nL 143.411797 145.714859 \nL 142.002364 147.667789 \nL 140.983348 149.567645 \nL 140.263265 151.424973 \nL 139.768975 153.240645 \nL 139.330976 155.87588 \nL 139.142454 158.385606 \nL 139.142967 161.502848 \nL 139.347666 164.330979 \nL 139.732351 166.855504 \nL 140.322805 169.069456 \nL 140.940073 170.520573 \nL 141.756102 171.782939 \nL 142.440987 172.512027 \nL 143.266096 173.142682 \nL 144.260937 173.664309 \nL 145.461396 174.062234 \nL 146.910928 174.316355 \nL 148.661894 174.399302 \nL 150.776934 174.273984 \nL 153.330194 173.890312 \nL 156.408038 173.180934 \nL 160.108551 172.055884 \nL 164.538597 170.396316 \nL 169.806321 168.04816 \nL 172.784889 166.556941 \nL 176.005663 164.817933 \nL 179.473472 162.801239 \nL 183.187619 160.475653 \nL 187.139738 157.809891 \nL 191.311161 154.77448 \nL 195.669743 151.344525 \nL 200.166215 147.503572 \nL 204.730166 143.248743 \nL 209.26596 138.597238 \nL 213.649106 133.594074 \nL 217.723885 128.320598 \nL 221.303405 122.902619 \nL 224.173595 117.51642 \nL 226.102776 112.389823 \nL 226.858336 107.794937 \nL 226.230911 104.029169 \nL 224.064791 101.382744 \nL 220.290193 100.094315 \nL 214.950127 100.301999 \nL 208.212702 102.002656 \nL 200.361413 105.034609 \nL 191.761669 109.094552 \nL 182.810314 113.788145 \nL 157.239194 127.800764 \nL 149.876697 131.550545 \nL 143.250923 134.648865 \nL 137.359446 137.109337 \nL 132.163658 138.993688 \nL 127.605344 140.386834 \nL 123.618461 141.378821 \nL 120.136559 142.053799 \nL 117.096947 142.484597 \nL 112.123266 142.84035 \nL 108.318284 142.784024 \nL 105.396606 142.508869 \nL 103.148894 142.118219 \nL 100.721868 141.425902 \nL 99.137563 140.680541 \nL 98.186663 139.936032 \nL 97.734807 139.243137 \nL 97.683864 138.655573 \nL 97.948291 138.224671 \nL 98.44311 137.990827 \nL 99.080611 137.976223 \nL 99.772779 138.181107 \nL 100.436499 138.584153 \nL 100.99913 139.146163 \nL 101.402773 139.815556 \nL 101.606719 140.534097 \nL 101.588223 141.241821 \nL 101.342231 141.880751 \nL 100.880696 142.397563 \nL 100.231932 142.74575 \nL 99.440038 142.887909 \nL 98.564067 142.798662 \nL 97.676218 142.468367 \nL 96.858177 141.907405 \nL 96.194778 141.149933 \nL 95.764794 140.255605 \nL 95.629684 139.307292 \nL 95.721121 138.693478 \nL 95.959812 138.129988 \nL 96.338698 137.64598 \nL 96.842987 137.267086 \nL 97.450986 137.013518 \nL 98.135502 136.898675 \nL 99.237722 136.997165 \nL 100.333097 137.407277 \nL 101.318026 138.084632 \nL 102.105107 138.961924 \nL 102.629108 139.959513 \nL 102.848756 140.994247 \nL 102.745861 141.985412 \nL 102.49877 142.584637 \nL 102.115119 143.110482 \nL 101.604562 143.543961 \nL 100.980601 143.867776 \nL 100.260697 144.066594 \nL 99.466401 144.127482 \nL 98.623451 144.04058 \nL 97.761657 143.799964 \nL 96.914553 143.404745 \nL 96.118581 142.860219 \nL 95.411801 142.179023 \nL 94.831988 141.381979 \nL 94.414226 140.498432 \nL 94.188127 139.565764 \nL 94.174967 138.627915 \nL 94.385147 137.732833 \nL 94.816432 136.929026 \nL 95.453306 136.261579 \nL 96.2677 135.76827 \nL 97.221035 135.476305 \nL 98.267301 135.400335 \nL 99.356685 135.541907 \nL 100.439216 135.890347 \nL 101.467953 136.424818 \nL 102.40137 137.11697 \nL 103.204822 137.93378 \nL 103.851134 138.840077 \nL 104.320505 139.800555 \nL 104.599943 140.781145 \nL 104.68248 141.749766 \nL 104.566375 142.676615 \nL 104.254446 143.53406 \nL 103.753654 144.296382 \nL 103.074981 144.939442 \nL 102.233606 145.44045 \nL 101.249359 145.777946 \nL 100.147359 145.932105 \nL 98.958734 145.885467 \nL 97.721226 145.624173 \nL 96.479472 145.139754 \nL 95.284663 144.43138 \nL 94.193297 143.508434 \nL 93.26475 142.393009 \nL 92.557602 141.12183 \nL 92.124743 139.746904 \nL 92.007815 138.334223 \nL 92.231697 136.960109 \nL 92.800152 135.70516 \nL 93.693599 134.646558 \nL 94.869787 133.849898 \nL 96.26743 133.36228 \nL 97.812222 133.207967 \nL 99.424072 133.387435 \nL 101.024228 133.879735 \nL 102.541123 134.647235 \nL 103.914309 135.641513 \nL 105.096268 136.809085 \nL 106.052463 138.096137 \nL 106.760097 139.451773 \nL 107.206183 140.829795 \nL 107.385429 142.189223 \nL 107.298304 143.493962 \nL 106.949535 144.711858 \nL 106.347164 145.813528 \nL 105.502235 146.771155 \nL 104.429081 147.5574 \nL 103.146225 148.14463 \nL 101.677795 148.504597 \nL 100.055352 148.608743 \nL 98.319941 148.42936 \nL 96.524046 147.94181 \nL 94.733009 147.127986 \nL 93.025279 145.981048 \nL 91.490745 144.511146 \nL 90.226442 142.751397 \nL 89.726156 141.780708 \nL 89.32919 140.762764 \nL 89.045923 139.709875 \nL 88.885329 138.63609 \nL 88.854596 137.556976 \nL 88.95876 136.489282 \nL 89.20041 135.450529 \nL 89.579461 134.458494 \nL 90.093019 133.530651 \nL 90.735368 132.683575 \nL 91.498079 131.932373 \nL 92.370237 131.290149 \nL 93.338755 130.767561 \nL 94.38882 130.372499 \nL 95.504344 130.109889 \nL 96.668494 129.981652 \nL 97.864196 129.98681 \nL 99.074615 130.121708 \nL 100.283578 130.380336 \nL 102.637843 131.235421 \nL 104.822391 132.472837 \nL 106.757487 134.002676 \nL 108.388509 135.735604 \nL 109.682954 137.590357 \nL 110.625786 139.497512 \nL 111.214381 141.400201 \nL 111.453925 143.252879 \nL 111.353721 145.019013 \nL 110.924589 146.668339 \nL 110.177367 148.174145 \nL 109.122457 149.510706 \nL 107.770345 150.651019 \nL 106.133052 151.564889 \nL 104.226504 152.217454 \nL 102.073813 152.568337 \nL 99.709432 152.57179 \nL 97.183967 152.178294 \nL 94.569253 151.338297 \nL 93.257807 150.736929 \nL 91.962793 150.008844 \nL 90.700802 149.15135 \nL 89.490125 148.163614 \nL 88.350564 147.047139 \nL 87.303134 145.806247 \nL 86.369627 144.448562 \nL 85.57204 142.985408 \nL 84.931871 141.432116 \nL 84.469305 139.808154 \nL 84.202305 138.137047 \nL 84.145673 136.446029 \nL 84.310157 134.765421 \nL 84.70165 133.127705 \nL 85.320583 131.566333 \nL 86.161569 130.114357 \nL 87.213355 128.802945 \nL 88.459123 127.659918 \nL 89.877101 126.70845 \nL 91.441456 125.966027 \nL 93.123415 125.443794 \nL 94.892483 125.146292 \nL 96.717695 125.071653 \nL 98.568768 125.212154 \nL 100.417119 125.555096 \nL 102.236653 126.08384 \nL 104.004333 126.77899 \nL 105.700503 127.619501 \nL 107.309 128.583728 \nL 108.817083 129.650298 \nL 110.215232 130.798804 \nL 111.496836 132.010304 \nL 113.696301 134.5556 \nL 115.406465 137.172403 \nL 116.640695 139.777113 \nL 117.424339 142.311935 \nL 117.78676 144.738807 \nL 117.75581 147.03336 \nL 117.354417 149.179617 \nL 116.598816 151.165587 \nL 115.498072 152.979648 \nL 114.054591 154.607429 \nL 112.265527 156.028999 \nL 110.125092 157.216135 \nL 107.627961 158.129601 \nL 104.774065 158.716491 \nL 103.216327 158.866645 \nL 101.575195 158.908044 \nL 99.855438 158.829438 \nL 98.063793 158.61859 \nL 96.209366 158.262408 \nL 94.304047 157.747188 \nL 92.362942 157.058963 \nL 90.404772 156.183998 \nL 88.452223 155.10947 \nL 86.5322 153.824311 \nL 84.675913 152.320264 \nL 82.91874 150.593115 \nL 81.299793 148.64408 \nL 79.861115 146.481242 \nL 78.64645 144.120963 \nL 77.699565 141.589056 \nL 77.062148 138.921575 \nL 76.771361 136.164946 \nL 76.857235 133.375268 \nL 77.340102 130.616637 \nL 78.228402 127.958429 \nL 79.517132 125.471669 \nL 81.18722 123.224788 \nL 83.205987 121.279167 \nL 85.528737 119.685011 \nL 88.10133 118.478106 \nL 90.863421 117.677839 \nL 93.752055 117.286752 \nL 96.705138 117.291597 \nL 99.664477 117.665633 \nL 102.578114 118.371804 \nL 105.401871 119.366283 \nL 108.100069 120.601975 \nL 110.645585 122.031587 \nL 113.019347 123.610046 \nL 115.209487 125.296238 \nL 117.210298 127.05402 \nL 119.021118 128.852655 \nL 120.64525 130.666804 \nL 122.088972 132.476179 \nL 123.360669 134.26503 \nL 125.427745 137.737129 \nL 126.930837 141.024501 \nL 127.953468 144.103717 \nL 128.570201 146.97273 \nL 128.842603 149.641353 \nL 128.817814 152.125055 \nL 128.528637 154.441115 \nL 127.994372 156.606272 \nL 127.221925 158.635273 \nL 126.206877 160.539837 \nL 124.934391 162.327794 \nL 123.379926 164.002025 \nL 121.509824 165.559031 \nL 119.281976 166.986841 \nL 116.646863 168.261947 \nL 113.549487 169.344935 \nL 109.933012 170.174463 \nL 107.913375 170.467112 \nL 105.745317 170.659376 \nL 103.424894 170.733625 \nL 100.950223 170.669124 \nL 98.322258 170.44173 \nL 95.545735 170.023685 \nL 92.630308 169.383535 \nL 89.591869 168.486273 \nL 86.454036 167.293807 \nL 83.249767 165.765925 \nL 80.022971 163.861861 \nL 76.830003 161.542698 \nL 73.740722 158.774712 \nL 70.838863 155.533786 \nL 68.22123 151.810823 \nL 65.995301 147.617884 \nL 64.274821 142.994512 \nL 63.173102 138.01321 \nL 62.794186 132.782832 \nL 63.222437 127.448322 \nL 64.511793 122.18549 \nL 66.676431 117.190093 \nL 69.684856 112.661696 \nL 73.45908 108.784168 \nL 77.879759 105.706036 \nL 82.7968 103.524471 \nL 88.043668 102.276218 \nL 93.452782 101.93721 \nL 98.869258 102.430529 \nL 104.161041 103.640443 \nL 109.224448 105.429169 \nL 113.985428 107.653053 \nL 118.397491 110.175703 \nL 122.437632 112.876837 \nL 126.101441 115.656889 \nL 129.398288 118.438041 \nL 132.34709 121.162835 \nL 134.972868 123.79137 \nL 139.370847 128.667943 \nL 142.830899 132.976798 \nL 146.757461 138.394102 \nL 151.472393 145.033273 \nL 153.130183 146.990416 \nL 154.814871 148.597176 \nL 156.606595 149.869271 \nL 158.572802 150.810069 \nL 160.771067 151.410832 \nL 163.250553 151.65109 \nL 166.051775 151.499238 \nL 169.204291 150.91376 \nL 172.721834 149.845769 \nL 176.59436 148.243841 \nL 180.776627 146.062561 \nL 185.173415 143.276406 \nL 187.404691 141.658893 \nL 189.622735 139.900342 \nL 191.794359 138.013395 \nL 193.880705 136.016816 \nL 195.837403 133.936342 \nL 197.615128 131.805323 \nL 199.160678 129.664983 \nL 200.418641 127.564082 \nL 201.333736 125.557832 \nL 201.853749 123.705907 \nL 201.93303 122.069473 \nL 201.536227 120.707325 \nL 200.641965 119.671372 \nL 199.245937 119.00196 \nL 197.362958 118.723686 \nL 195.027499 118.84232 \nL 192.292455 119.343628 \nL 189.226129 120.194317 \nL 185.907731 121.345187 \nL 182.421968 122.736058 \nL 175.281617 125.977242 \nL 168.397462 129.433156 \nL 162.18515 132.756432 \nL 156.862068 135.776313 \nL 152.483176 138.463327 \nL 148.996952 140.866941 \nL 146.296008 143.062216 \nL 144.253053 145.118057 \nL 142.742624 147.084448 \nL 141.652364 148.991217 \nL 140.887595 150.852035 \nL 140.371992 152.669656 \nL 139.940115 155.306555 \nL 139.798298 157.816052 \nL 139.862498 160.175713 \nL 140.198557 163.058991 \nL 140.626234 165.008466 \nL 141.220384 166.764536 \nL 142.016124 168.316144 \nL 142.684794 169.229276 \nL 143.488639 170.037498 \nL 144.454459 170.731128 \nL 145.61501 171.296853 \nL 147.010019 171.716472 \nL 148.687313 171.965252 \nL 150.704001 172.009737 \nL 153.127538 171.804884 \nL 156.036338 171.290354 \nL 159.519371 170.385895 \nL 163.673695 168.985951 \nL 168.598197 166.954171 \nL 174.380738 164.119589 \nL 177.612684 162.338558 \nL 181.074408 160.278344 \nL 184.760506 157.910711 \nL 188.65712 155.208501 \nL 192.739334 152.147784 \nL 196.968117 148.710872 \nL 201.286932 144.890364 \nL 205.618203 140.69431 \nL 209.859981 136.152488 \nL 213.883391 131.323475 \nL 217.53177 126.301845 \nL 220.622526 121.224242 \nL 222.953165 116.272403 \nL 224.3127 111.670545 \nL 224.499358 107.674307 \nL 223.344199 104.548997 \nL 220.738381 102.536935 \nL 216.659411 101.817335 \nL 211.189502 102.466739 \nL 204.518916 104.431604 \nL 196.929816 107.524334 \nL 188.76187 111.448318 \nL 180.367304 115.847381 \nL 156.703048 128.631675 \nL 149.923041 132.037139 \nL 143.819225 134.874014 \nL 138.385277 137.161369 \nL 133.584868 138.955923 \nL 129.36511 140.332078 \nL 125.666147 141.367593 \nL 119.590834 142.696156 \nL 114.917181 143.395738 \nL 109.767148 143.858702 \nL 105.08855 144.006753 \nL 102.539359 143.916156 \nL 100.484119 143.646584 \nL 98.781591 143.167855 \nL 97.384064 142.465033 \nL 96.625799 141.8781 \nL 96.019149 141.211046 \nL 95.578156 140.484514 \nL 95.315905 139.725724 \nL 95.241585 138.96713 \nL 95.358056 138.244413 \nL 95.660113 137.59391 \nL 96.13367 137.049753 \nL 96.755947 136.641076 \nL 97.496599 136.389643 \nL 98.319647 136.308269 \nL 99.18587 136.40018 \nL 100.055332 136.659352 \nL 100.889718 137.071655 \nL 102.000702 137.931015 \nL 102.859322 139.001257 \nL 103.256907 139.784586 \nL 103.4987 140.590325 \nL 103.577032 141.390777 \nL 103.489055 142.15964 \nL 103.236347 142.872198 \nL 102.824613 143.505354 \nL 102.263565 144.037584 \nL 101.566993 144.448959 \nL 100.752973 144.721297 \nL 99.844187 144.838543 \nL 98.868229 144.787441 \nL 97.857788 144.558535 \nL 96.850525 144.147503 \nL 95.888467 143.556713 \nL 95.016758 142.796886 \nL 94.28161 141.888596 \nL 93.727466 140.863181 \nL 93.393486 139.762758 \nL 93.309727 138.638894 \nL 93.493497 137.549758 \nL 93.946569 136.555867 \nL 94.653843 135.714871 \nL 95.583822 135.076148 \nL 96.691014 134.676151 \nL 97.919881 134.535371 \nL 99.209632 134.657365 \nL 100.499148 135.029868 \nL 101.731239 135.627565 \nL 102.855779 136.41578 \nL 103.831526 137.354346 \nL 104.626724 138.401024 \nL 105.218742 139.514124 \nL 105.593103 140.654196 \nL 105.742255 141.784853 \nL 105.664334 142.872924 \nL 105.362163 143.888128 \nL 104.84259 144.802492 \nL 104.116243 145.589699 \nL 103.197717 146.224524 \nL 102.106163 146.682504 \nL 100.866212 146.939978 \nL 99.509114 146.974649 \nL 98.073896 146.766783 \nL 96.608291 146.301157 \nL 95.169068 145.569801 \nL 93.821344 144.575383 \nL 92.636455 143.334946 \nL 91.688031 141.883321 \nL 91.046212 140.275339 \nL 90.770384 138.585757 \nL 90.901357 136.905933 \nL 91.125318 136.101129 \nL 91.454429 135.336881 \nL 91.885891 134.62568 \nL 92.414965 133.979265 \nL 93.03506 133.408277 \nL 93.737892 132.921934 \nL 94.513712 132.527762 \nL 95.351566 132.231407 \nL 97.165431 131.944687 \nL 99.079897 132.066968 \nL 100.996342 132.574343 \nL 102.825403 133.420344 \nL 104.492493 134.54428 \nL 105.940212 135.879433 \nL 107.128184 137.359669 \nL 108.031068 138.923847 \nL 108.635645 140.518047 \nL 108.937707 142.096032 \nL 108.939232 143.618503 \nL 108.646193 145.051653 \nL 108.0671 146.365397 \nL 107.212362 147.531582 \nL 106.094429 148.52234 \nL 104.728719 149.308723 \nL 103.135239 149.859774 \nL 101.340878 150.142214 \nL 99.382209 150.12101 \nL 97.308566 149.761106 \nL 95.184965 149.030742 \nL 93.094169 147.906622 \nL 91.136942 146.38102 \nL 90.244233 145.4716 \nL 89.429306 144.470343 \nL 88.707923 143.384517 \nL 88.095676 142.223903 \nL 87.607525 141.000911 \nL 87.257269 139.730584 \nL 87.05698 138.430466 \nL 87.016445 137.120334 \nL 87.142633 135.821754 \nL 87.439245 134.557488 \nL 87.906356 133.350777 \nL 88.540231 132.224518 \nL 89.333288 131.200379 \nL 90.274262 130.297959 \nL 91.348549 129.534007 \nL 92.538707 128.921778 \nL 93.825093 128.470598 \nL 95.186576 128.185628 \nL 96.601287 128.067871 \nL 98.047346 128.114397 \nL 99.503528 128.318746 \nL 100.949833 128.671483 \nL 102.367936 129.160834 \nL 103.741495 129.773336 \nL 105.056348 130.494513 \nL 107.464475 132.203281 \nL 109.522816 134.171065 \nL 111.192452 136.293801 \nL 112.458228 138.485029 \nL 113.321358 140.676798 \nL 113.792743 142.817672 \nL 113.887636 144.869273 \nL 113.621836 146.802472 \nL 113.009321 148.59366 \nL 112.061159 150.221428 \nL 110.785556 151.663593 \nL 109.188915 152.894596 \nL 107.277896 153.883211 \nL 105.062523 154.59061 \nL 102.560469 154.969001 \nL 99.802576 154.961208 \nL 98.34256 154.792334 \nL 96.839561 154.501988 \nL 95.30426 154.081406 \nL 93.749518 153.522036 \nL 92.19057 152.815901 \nL 90.645178 151.956066 \nL 89.133689 150.937183 \nL 87.678997 149.756143 \nL 86.306351 148.412803 \nL 85.042998 146.910743 \nL 83.917608 145.258027 \nL 82.959506 143.467911 \nL 82.197637 141.55938 \nL 81.659372 139.557473 \nL 81.369134 137.493229 \nL 81.346963 135.403254 \nL 81.607124 133.328781 \nL 82.156881 131.314247 \nL 82.995576 129.405411 \nL 84.114151 127.647165 \nL 85.495188 126.081192 \nL 87.113495 124.743708 \nL 88.937231 123.663474 \nL 90.929446 122.860404 \nL 93.049916 122.344764 \nL 95.257077 122.117166 \nL 97.509887 122.169198 \nL 99.769469 122.484683 \nL 102.000422 123.041302 \nL 104.171737 123.812422 \nL 106.257323 124.768917 \nL 108.236181 125.880845 \nL 110.092269 127.118833 \nL 111.814152 128.455162 \nL 113.394507 129.864514 \nL 114.829538 131.324398 \nL 116.118372 132.81534 \nL 117.262467 134.320865 \nL 119.130665 137.3237 \nL 120.472881 140.25307 \nL 121.336138 143.060791 \nL 121.766911 145.720871 \nL 121.805582 148.22156 \nL 121.483389 150.55919 \nL 120.82109 152.733577 \nL 119.828778 154.744552 \nL 118.506456 156.589178 \nL 116.845162 158.259221 \nL 114.828637 159.738624 \nL 112.435694 161.000625 \nL 109.643623 162.004433 \nL 108.091587 162.391988 \nL 106.433192 162.691358 \nL 104.66778 162.891728 \nL 102.795997 162.980663 \nL 100.820218 162.944029 \nL 98.745027 162.765954 \nL 96.577786 162.428873 \nL 94.329257 161.913678 \nL 92.014282 161.200022 \nL 89.652486 160.266815 \nL 87.268991 159.092969 \nL 84.895014 157.658456 \nL 82.568349 155.945697 \nL 80.333559 153.941348 \nL 78.241771 151.638425 \nL 76.349921 149.038721 \nL 74.719303 146.155378 \nL 73.413343 143.015309 \nL 72.494503 139.66119 \nL 72.020443 136.152527 \nL 72.03964 132.565386 \nL 72.586897 128.990341 \nL 73.679235 125.528456 \nL 75.312835 122.285384 \nL 77.461615 119.364026 \nL 80.077818 116.856571 \nL 83.094736 114.83708 \nL 86.43129 113.355663 \nL 89.997865 112.435211 \nL 93.702576 112.071099 \nL 97.457143 112.23378 \nL 101.181693 112.873648 \nL 104.808066 113.927197 \nL 108.281574 115.323511 \nL 111.561309 116.990186 \nL 114.619379 118.858056 \nL 117.439419 120.86455 \nL 120.014733 122.955583 \nL 122.346346 125.086306 \nL 124.441167 127.220922 \nL 126.310344 129.331929 \nL 127.96789 131.39904 \nL 130.711975 135.349401 \nL 132.805938 139.010102 \nL 134.378539 142.366887 \nL 135.544879 145.431275 \nL 136.402448 148.226886 \nL 137.279063 151.977162 \nL 137.976465 156.289753 \nL 138.654454 162.411407 \nL 139.273214 167.201475 \nL 139.766526 169.459299 \nL 140.26011 170.943214 \nL 140.903913 172.249043 \nL 141.750441 173.369997 \nL 142.460879 174.006922 \nL 143.317908 174.546544 \nL 144.35316 174.977384 \nL 145.605003 175.283477 \nL 147.11985 175.44291 \nL 148.953597 175.425827 \nL 151.173085 175.191735 \nL 153.85735 174.685889 \nL 157.098251 173.834604 \nL 160.999635 172.539381 \nL 165.673613 170.670148 \nL 171.231456 168.05866 \nL 174.372105 166.410523 \nL 177.765112 164.49489 \nL 181.413418 162.279833 \nL 185.313301 159.732489 \nL 189.451902 156.820623 \nL 193.8042 153.515001 \nL 198.329407 149.792806 \nL 202.9669 145.642315 \nL 207.631878 141.069015 \nL 212.211122 136.103183 \nL 216.559609 130.808628 \nL 220.49898 125.291809 \nL 223.819338 119.709802 \nL 226.286098 114.274641 \nL 227.653727 109.250649 \nL 227.687518 104.940838 \nL 226.193184 101.659288 \nL 223.051198 99.689075 \nL 218.249511 99.230528 \nL 211.905241 100.351188 \nL 204.265735 102.95364 \nL 195.683656 106.77645 \nL 186.569162 111.434023 \nL 151.986378 130.28546 \nL 144.905738 133.705504 \nL 138.593587 136.43696 \nL 133.019515 138.531338 \nL 128.127371 140.07328 \nL 123.849627 141.158364 \nL 120.116687 141.878849 \nL 116.862234 142.316161 \nL 114.025854 142.53807 \nL 111.554003 142.598759 \nL 107.523727 142.39465 \nL 104.471557 141.931799 \nL 102.179084 141.33796 \nL 100.488426 140.685764 \nL 99.284806 140.020404 \nL 98.48298 139.374631 \nL 98.016987 138.775876 \nL 97.832674 138.248818 \nL 97.882504 137.815493 \nL 98.122275 137.494359 \nL 98.509386 137.299034 \nL 99.002247 137.237301 \nL 99.852172 137.396511 \nL 100.723178 137.836658 \nL 101.505477 138.509918 \nL 102.111426 139.350268 \nL 102.478069 140.282299 \nL 102.567114 141.228476 \nL 102.363337 142.11405 \nL 101.872649 142.869834 \nL 101.12076 143.433811 \nL 100.152736 143.752678 \nL 99.033193 143.784387 \nL 97.846168 143.50245 \nL 96.693195 142.902158 \nL 95.999333 142.335722 \nL 95.405693 141.653674 \nL 94.945411 140.879319 \nL 94.647796 140.043353 \nL 94.535829 139.182917 \nL 94.623789 138.339785 \nL 94.915382 137.55771 \nL 95.402675 136.879148 \nL 96.066122 136.341802 \nL 96.875766 135.975464 \nL 97.793443 135.799678 \nL 98.775709 135.822542 \nL 99.777054 136.040756 \nL 100.752959 136.440822 \nL 101.662417 137.00102 \nL 102.46975 137.693788 \nL 103.145653 138.48809 \nL 103.667536 139.351464 \nL 104.01934 140.251595 \nL 104.191034 141.157368 \nL 104.177975 142.039412 \nL 103.980306 142.870299 \nL 103.602479 143.62447 \nL 103.053022 144.278054 \nL 102.344546 144.808701 \nL 101.493987 145.195536 \nL 100.523038 145.41936 \nL 99.458685 145.463162 \nL 98.333694 145.313059 \nL 97.186895 144.959661 \nL 96.063006 144.399863 \nL 95.011773 143.638942 \nL 94.086221 142.692692 \nL 93.339828 141.589233 \nL 92.822683 140.369965 \nL 92.576887 139.089104 \nL 92.631735 137.81134 \nL 92.999481 136.607502 \nL 93.67254 135.548524 \nL 94.622872 134.698569 \nL 95.803866 134.108484 \nL 97.154515 133.810897 \nL 98.60517 133.817853 \nL 100.083779 134.121286 \nL 101.521622 134.695945 \nL 102.857707 135.50389 \nL 104.041474 136.499505 \nL 105.033818 137.634079 \nL 105.80677 138.859415 \nL 106.342271 140.13017 \nL 106.630514 141.405044 \nL 106.668241 142.64703 \nL 106.457261 143.822972 \nL 106.0034 144.902755 \nL 105.31594 145.858354 \nL 104.407616 146.662885 \nL 103.295135 147.289888 \nL 102.000184 147.712944 \nL 100.550818 147.905796 \nL 98.983089 147.843167 \nL 97.342666 147.502415 \nL 95.686084 146.866217 \nL 94.08115 145.926258 \nL 92.605917 144.687845 \nL 91.345626 143.174823 \nL 90.387192 141.433961 \nL 89.81126 139.537388 \nL 89.687833 138.560032 \nL 89.682457 137.581587 \nL 89.79906 136.616989 \nL 90.039409 135.681703 \nL 90.402938 134.791309 \nL 90.886657 133.961012 \nL 91.485163 133.205165 \nL 92.190733 132.53679 \nL 92.993533 131.967152 \nL 93.881897 131.505398 \nL 94.842677 131.158304 \nL 95.861656 130.93012 \nL 96.923958 130.822548 \nL 98.014485 130.834808 \nL 100.221036 131.204536 \nL 102.370058 131.992414 \nL 104.366921 133.130073 \nL 106.138028 134.538845 \nL 107.631386 136.13925 \nL 108.814452 137.857634 \nL 109.670434 139.629693 \nL 110.194104 141.401465 \nL 110.387923 143.128556 \nL 110.258857 144.77435 \nL 109.816124 146.307737 \nL 109.069903 147.700794 \nL 108.030994 148.926557 \nL 106.711374 149.957071 \nL 105.125625 150.761791 \nL 103.293186 151.306469 \nL 101.241397 151.552756 \nL 99.009212 151.458828 \nL 96.651321 150.981514 \nL 94.242153 150.080433 \nL 93.047771 149.460711 \nL 91.878858 148.724685 \nL 90.751215 147.871516 \nL 89.681935 146.902278 \nL 88.689175 145.820333 \nL 87.791814 144.631725 \nL 87.00903 143.345516 \nL 86.359734 141.974049 \nL 85.861939 140.533089 \nL 85.532038 139.041819 \nL 85.384049 137.522622 \nL 85.428861 136.000662 \nL 85.673552 134.50323 \nL 86.120818 133.058868 \nL 86.768577 131.696326 \nL 87.609813 130.443403 \nL 88.632661 129.325751 \nL 89.820763 128.365747 \nL 91.153861 127.581536 \nL 92.608601 126.9863 \nL 94.159465 126.587844 \nL 95.779791 126.388523 \nL 97.442756 126.38546 \nL 99.122299 126.571095 \nL 100.793898 126.933889 \nL 102.435199 127.459216 \nL 104.026426 128.130266 \nL 105.550636 128.928949 \nL 106.993806 129.83671 \nL 108.344761 130.835217 \nL 109.595011 131.906914 \nL 111.77134 134.205769 \nL 113.49821 136.620132 \nL 114.775223 139.062019 \nL 115.616775 141.466818 \nL 116.044325 143.788997 \nL 116.0807 145.99706 \nL 115.746302 148.06871 \nL 115.056968 149.986603 \nL 114.023141 151.73469 \nL 112.650175 153.295094 \nL 110.939579 154.645302 \nL 108.891268 155.755563 \nL 106.506894 156.586472 \nL 103.794505 157.086862 \nL 102.321071 157.193536 \nL 100.774793 157.192398 \nL 99.161549 157.073361 \nL 97.489094 156.825656 \nL 95.76741 156.438016 \nL 94.009027 155.898951 \nL 92.229345 155.197109 \nL 90.446937 154.321781 \nL 88.683746 153.263533 \nL 86.965204 152.014988 \nL 85.320162 150.571737 \nL 83.780648 148.933377 \nL 82.381327 147.104623 \nL 81.158682 145.0964 \nL 80.149844 142.926838 \nL 79.391107 140.622017 \nL 78.916133 138.21633 \nL 78.753977 135.752274 \nL 78.927047 133.279581 \nL 79.449195 130.853589 \nL 80.324162 128.532885 \nL 81.544589 126.376309 \nL 83.091761 124.439632 \nL 84.936171 122.772153 \nL 87.038919 121.413709 \nL 89.353795 120.392304 \nL 91.82985 119.72282 \nL 94.41416 119.406763 \nL 97.054506 119.433152 \nL 99.701724 119.780298 \nL 102.31154 120.418224 \nL 104.845814 121.311329 \nL 107.273182 122.421075 \nL 109.569176 123.708347 \nL 111.715928 125.135415 \nL 113.701567 126.667331 \nL 115.519456 128.272862 \nL 117.167326 129.924929 \nL 118.646426 131.600717 \nL 119.960724 133.281509 \nL 121.116168 134.952344 \nL 122.980547 138.220489 \nL 124.305396 141.343709 \nL 125.157804 144.292395 \nL 125.598298 147.057241 \nL 125.676592 149.640759 \nL 125.429723 152.051415 \nL 124.881661 154.299672 \nL 124.043738 156.395284 \nL 122.915474 158.345296 \nL 121.485572 160.152333 \nL 119.733018 161.812817 \nL 117.628372 163.314806 \nL 115.135506 164.635188 \nL 112.214217 165.735923 \nL 108.824391 166.559159 \nL 106.942852 166.841755 \nL 104.932741 167.021211 \nL 102.792699 167.081917 \nL 100.523401 167.005823 \nL 98.128223 166.772295 \nL 95.614013 166.358065 \nL 92.991991 165.737311 \nL 90.278761 164.881952 \nL 87.497403 163.7622 \nL 84.678599 162.347529 \nL 81.861693 160.608095 \nL 79.095574 158.51673 \nL 76.43916 156.051619 \nL 73.961306 153.199589 \nL 71.739797 149.960013 \nL 69.859235 146.349 \nL 68.407522 142.403508 \nL 67.470903 138.184665 \nL 67.127682 133.779528 \nL 67.44107 129.300347 \nL 68.45193 124.880616 \nL 70.172541 120.667547 \nL 72.582524 116.811344 \nL 75.627969 113.452329 \nL 79.224333 110.707836 \nL 83.262859 108.66109 \nL 87.619692 107.354071 \nL 92.166131 106.785614 \nL 96.778458 106.914902 \nL 101.345923 107.669282 \nL 105.776079 108.954708 \nL 109.997269 110.666737 \nL 113.958666 112.700381 \nL 117.628492 114.957704 \nL 120.991192 117.352758 \nL 124.044212 119.813978 \nL 126.794844 122.284613 \nL 129.257414 124.721708 \nL 131.450944 127.094361 \nL 135.119733 131.570347 \nL 137.987139 135.628197 \nL 140.235087 139.255942 \nL 142.797396 143.945748 \nL 146.538966 151.069254 \nL 147.712167 152.887842 \nL 148.962425 154.460138 \nL 150.345497 155.792627 \nL 151.913336 156.882965 \nL 153.716605 157.719485 \nL 155.806463 158.280398 \nL 158.235473 158.532694 \nL 161.05736 158.430785 \nL 164.325129 157.915147 \nL 168.086818 156.911446 \nL 172.377763 155.331203 \nL 174.726285 154.294219 \nL 177.207927 153.075724 \nL 179.816816 151.663416 \nL 182.542656 150.046129 \nL 185.369694 148.214762 \nL 188.275576 146.163511 \nL 191.230131 143.891357 \nL 194.194195 141.403898 \nL 197.118541 138.715403 \nL 199.943114 135.851067 \nL 202.596811 132.849219 \nL 204.998036 129.763235 \nL 207.056368 126.662704 \nL 208.675643 123.633352 \nL 209.758675 120.775117 \nL 210.21364 118.197833 \nL 209.961908 116.014238 \nL 208.946651 114.330428 \nL 207.141169 113.234562 \nL 204.555477 112.785384 \nL 201.239634 113.00273 \nL 197.282605 113.862287 \nL 192.806205 115.29639 \nL 187.954745 117.201385 \nL 182.882063 119.450294 \nL 172.658007 124.448096 \nL 142.443574 140.043925 \nL 138.128706 142.425825 \nL 134.759736 144.514418 \nL 132.107762 146.443907 \nL 129.969118 148.296621 \nL 128.171284 150.113732 \nL 124.295003 154.547918 \nL 121.895287 157.078356 \nL 120.105125 158.670118 \nL 118.090001 160.155934 \nL 115.793906 161.504174 \nL 113.165292 162.674684 \nL 110.157935 163.614844 \nL 106.734146 164.254709 \nL 104.858122 164.434116 \nL 102.871093 164.501648 \nL 100.774235 164.441343 \nL 98.571228 164.235288 \nL 96.268874 163.86362 \nL 93.877796 163.304646 \nL 91.413223 162.535148 \nL 88.895805 161.530898 \nL 86.352444 160.26747 \nL 83.817055 158.721432 \nL 81.331142 156.871933 \nL 78.944092 154.702776 \nL 76.712973 152.204924 \nL 74.701707 149.379399 \nL 72.979386 146.240349 \nL 71.61762 142.818025 \nL 70.686859 139.161173 \nL 70.251768 135.338338 \nL 70.365964 131.437444 \nL 71.066632 127.563197 \nL 72.369715 123.831982 \nL 74.26647 120.364489 \nL 76.722138 117.276609 \nL 79.677164 114.669841 \nL 83.05102 112.622565 \nL 86.748185 111.183635 \nL 90.665417 110.36932 \nL 94.699264 110.164035 \nL 98.752765 110.524476 \nL 102.740586 111.386249 \nL 106.592232 112.671672 \nL 110.253337 114.297516 \nL 113.68535 116.181651 \nL 116.864101 118.248049 \nL 119.777701 120.429954 \nL 122.424198 122.671401 \nL 124.80929 124.92741 \nL 126.944251 127.163291 \nL 128.84418 129.353413 \nL 132.010194 133.530441 \nL 134.457722 137.380104 \nL 136.335442 140.883596 \nL 137.777895 144.053639 \nL 139.372491 148.243647 \nL 143.183606 159.239732 \nL 143.947791 160.668379 \nL 144.820274 161.943042 \nL 145.833236 163.062192 \nL 147.021318 164.019119 \nL 148.423138 164.80126 \nL 150.082633 165.38915 \nL 152.050201 165.75489 \nL 154.383521 165.860085 \nL 157.147766 165.65318 \nL 160.414744 165.066238 \nL 164.26012 164.011433 \nL 168.757387 162.377933 \nL 173.966513 160.030729 \nL 176.848476 158.541447 \nL 179.914367 156.814456 \nL 183.157222 154.829455 \nL 186.563246 152.56759 \nL 190.109961 150.013088 \nL 193.764099 147.155471 \nL 197.479342 143.992378 \nL 201.19404 140.533083 \nL 204.829177 136.802598 \nL 208.286933 132.846149 \nL 211.450407 128.733604 \nL 214.185116 124.563049 \nL 216.343054 120.462483 \nL 217.769985 116.588166 \nL 218.316406 113.118211 \nL 217.852018 110.240139 \nL 216.282555 108.132286 \nL 213.566651 106.940454 \nL 209.729311 106.753448 \nL 204.868084 107.583139 \nL 199.148905 109.355139 \nL 192.790784 111.914493 \nL 186.041664 115.04684 \nL 179.150582 118.510355 \nL 153.987807 131.612196 \nL 144.21535 136.248633 \nL 136.446279 139.549806 \nL 127.889092 142.800541 \nL 120.42174 145.624988 \nL 116.508204 147.351258 \nL 109.232131 150.73003 \nL 107.148524 151.421651 \nL 104.957786 151.91406 \nL 102.640587 152.15684 \nL 100.199993 152.096792 \nL 97.662881 151.679803 \nL 95.082146 150.854311 \nL 93.799607 150.27435 \nL 92.538813 149.577193 \nL 91.314386 148.760222 \nL 90.142617 147.822603 \nL 89.041258 146.765722 \nL 88.029228 145.593591 \nL 87.126208 144.313265 \nL 86.352097 142.935177 \nL 85.726391 141.473394 \nL 85.267423 139.945732 \nL 84.991569 138.373656 \nL 84.912402 136.781989 \nL 85.039888 135.198352 \nL 85.379677 133.652356 \nL 85.932536 132.17457 \nL 86.69402 130.795317 \nL 87.654388 129.543372 \nL 88.798835 128.444667 \nL 90.107982 127.521126 \nL 91.558641 126.789708 \nL 93.124767 126.261764 \nL 94.778522 125.942747 \nL 96.491382 125.832302 \nL 98.235187 125.924679 \nL 99.983074 126.209443 \nL 101.710233 126.672365 \nL 103.394462 127.296413 \nL 105.016534 128.062764 \nL 106.560345 128.951738 \nL 108.012913 129.943627 \nL 109.364235 131.019353 \nL 110.607046 132.160981 \nL 112.749899 134.577769 \nL 114.42584 137.082785 \nL 115.641793 139.592062 \nL 116.417546 142.045688 \nL 116.778101 144.40267 \nL 116.748213 146.635453 \nL 116.348921 148.724928 \nL 115.595689 150.65617 \nL 114.497838 152.41484 \nL 113.059029 153.984088 \nL 111.278688 155.341748 \nL 109.154383 156.457689 \nL 106.68533 157.29128 \nL 103.877298 157.789098 \nL 102.351343 157.89147 \nL 100.749206 157.883295 \nL 99.076714 157.753804 \nL 97.34169 157.49146 \nL 95.554323 157.084129 \nL 93.727537 156.51937 \nL 91.877343 155.784809 \nL 90.02318 154.868695 \nL 88.188146 153.760566 \nL 86.399143 152.452105 \nL 84.686826 150.938152 \nL 83.08534 149.217839 \nL 81.631758 147.295825 \nL 80.365183 145.183527 \nL 79.325462 142.900236 \nL 78.551538 140.473959 \nL 78.079471 137.941828 \nL 77.940239 135.349875 \nL 78.157466 132.752033 \nL 78.745319 130.208296 \nL 79.706826 127.782025 \nL 81.032816 125.536602 \nL 82.701731 123.531653 \nL 84.680369 121.819308 \nL 86.925536 120.440877 \nL 89.386478 119.424394 \nL 92.007793 118.783303 \nL 94.73251 118.516438 \nL 97.505032 118.609204 \nL 100.273627 119.035754 \nL 102.992327 119.761784 \nL 105.622133 120.74757 \nL 108.131562 121.950915 \nL 110.496636 123.329686 \nL 112.700418 124.843827 \nL 114.73228 126.456766 \nL 116.58699 128.13626 \nL 118.263761 129.854757 \nL 119.765317 131.589383 \nL 121.097026 133.32167 \nL 122.266147 135.03711 \nL 124.151288 138.376204 \nL 125.49455 141.550442 \nL 126.369115 144.535372 \nL 126.840035 147.326252 \nL 126.960367 149.92948 \nL 126.769663 152.356853 \nL 126.293863 154.621814 \nL 125.545919 156.737008 \nL 124.526721 158.712555 \nL 123.226074 160.554653 \nL 121.623657 162.264131 \nL 119.690012 163.8347 \nL 117.387725 165.250589 \nL 114.673191 166.483267 \nL 111.499482 167.486987 \nL 109.726001 167.882573 \nL 107.821208 168.19293 \nL 105.780987 168.40466 \nL 103.60258 168.501972 \nL 101.285132 168.466427 \nL 98.830362 168.276734 \nL 96.243377 167.908612 \nL 93.53362 167.334772 \nL 90.71597 166.525099 \nL 87.811957 165.447112 \nL 84.851061 164.066804 \nL 81.871996 162.349998 \nL 78.923864 160.264323 \nL 76.066977 157.781954 \nL 73.373089 154.883137 \nL 70.924741 151.560465 \nL 68.813367 147.823721 \nL 67.135853 143.704823 \nL 65.989375 139.262199 \nL 65.464567 134.583623 \nL 65.637393 129.786458 \nL 66.560598 125.014261 \nL 68.255947 120.429106 \nL 70.708713 116.199834 \nL 73.865757 112.487308 \nL 77.63802 109.428803 \nL 81.907424 107.124226 \nL 86.537181 105.626778 \nL 91.383799 104.939819 \nL 96.308737 105.020287 \nL 101.18797 105.787615 \nL 105.918378 107.135941 \nL 110.42071 108.947214 \nL 114.639535 111.102903 \nL 118.541059 113.492978 \nL 122.109712 116.021636 \nL 125.344316 118.60998 \nL 128.254405 121.196308 \nL 130.857005 123.734742 \nL 133.173993 126.193022 \nL 137.051161 130.792964 \nL 140.092451 134.916996 \nL 142.497037 138.562167 \nL 146.080912 144.553413 \nL 148.232869 148.074255 \nL 149.609507 150.023504 \nL 151.034675 151.680746 \nL 152.576494 153.057327 \nL 154.2954 154.154233 \nL 156.247021 154.961758 \nL 158.484087 155.459048 \nL 161.057137 155.613479 \nL 164.013691 155.380078 \nL 167.395383 154.701335 \nL 171.232286 153.508183 \nL 175.533488 151.723367 \nL 177.851901 150.584473 \nL 180.2728 149.269168 \nL 182.784129 147.770077 \nL 185.368826 146.082181 \nL 188.003944 144.203878 \nL 190.659767 142.13825 \nL 193.299005 139.894531 \nL 195.876169 137.489684 \nL 198.337263 134.950026 \nL 200.619973 132.312694 \nL 202.65456 129.626726 \nL 204.365635 126.953442 \nL 205.675032 124.365743 \nL 206.505811 121.945983 \nL 206.787398 119.782094 \nL 206.461528 117.961923 \nL 205.488502 116.566019 \nL 203.85291 115.659528 \nL 201.567891 115.284377 \nL 198.676944 115.453125 \nL 195.252614 116.145891 \nL 191.391867 117.3114 \nL 187.208621 118.872243 \nL 182.824569 120.73361 \nL 173.923924 124.95519 \nL 161.630345 131.278826 \nL 151.803446 136.536567 \nL 146.749253 139.381713 \nL 142.759777 141.833213 \nL 139.655201 144.026768 \nL 137.247898 146.070416 \nL 135.364614 148.03528 \nL 133.85531 149.960484 \nL 132.024667 152.805588 \nL 128.236815 159.194018 \nL 126.987449 160.917457 \nL 125.567567 162.578708 \nL 123.927769 164.167245 \nL 122.01701 165.669599 \nL 119.781131 167.066853 \nL 117.162227 168.331181 \nL 114.099249 169.421161 \nL 110.530492 170.275542 \nL 108.538241 170.587878 \nL 106.399057 170.805196 \nL 104.108221 170.910389 \nL 101.662938 170.883327 \nL 99.063054 170.700535 \nL 96.31196 170.334947 \nL 93.41769 169.755762 \nL 90.394188 168.928511 \nL 87.262789 167.815423 \nL 84.053802 166.376217 \nL 80.808189 164.569514 \nL 77.579118 162.35499 \nL 74.433219 159.696502 \nL 71.451192 156.56625 \nL 68.727378 152.950014 \nL 66.367838 148.85324 \nL 64.486477 144.3075 \nL 63.19889 139.376445 \nL 62.613937 134.160001 \nL 62.823492 128.795277 \nL 63.891436 123.452743 \nL 65.843576 118.3267 \nL 68.660499 113.62012 \nL 72.275251 109.525433 \nL 76.57696 106.204158 \nL 81.420321 103.769291 \nL 86.639441 102.273959 \nL 92.063507 101.708727 \nL 97.531437 102.007739 \nL 102.903235 103.061746 \nL 108.066789 104.734873 \nL 112.940131 106.881527 \nL 117.470014 109.360681 \nL 121.628113 112.046007 \nL 125.406134 114.831516 \nL 128.810831 117.633375 \nL 131.85953 120.388943 \nL 134.57644 123.054161 \nL 139.129753 128.010078 \nL 142.711225 132.394622 \nL 146.766248 137.906071 \nL 151.59331 144.648434 \nL 153.272287 146.632192 \nL 154.969073 148.259595 \nL 156.765709 149.547766 \nL 158.73086 150.501345 \nL 160.922728 151.112776 \nL 163.390592 151.362762 \nL 166.174651 151.220936 \nL 169.303797 150.647201 \nL 172.790874 149.594328 \nL 176.624901 148.012853 \nL 180.759934 145.859589 \nL 185.100716 143.111344 \nL 187.301029 141.517132 \nL 189.486539 139.785014 \nL 191.624543 137.927684 \nL 193.676857 135.9638 \nL 195.599974 133.91881 \nL 197.345641 131.825531 \nL 198.861923 129.724381 \nL 200.094844 127.663013 \nL 200.990652 125.695252 \nL 201.498685 123.879141 \nL 201.574734 122.274067 \nL 201.184634 120.937042 \nL 200.307789 119.918358 \nL 198.940134 119.257142 \nL 197.096088 118.977308 \nL 194.809064 119.084683 \nL 192.130293 119.565828 \nL 189.125936 120.388951 \nL 185.872788 121.506875 \nL 182.453104 122.861719 \nL 175.438711 126.030611 \nL 168.662032 129.425282 \nL 162.53335 132.70488 \nL 157.271149 135.697952 \nL 152.935068 138.370515 \nL 149.479357 140.766818 \nL 146.802035 142.957712 \nL 144.780301 145.009354 \nL 143.29223 146.970177 \nL 142.22822 148.869252 \nL 141.4958 150.719888 \nL 141.020535 152.524632 \nL 140.744865 154.279721 \nL 140.615528 156.804208 \nL 140.747988 159.176384 \nL 141.095827 161.373498 \nL 141.648395 163.376441 \nL 142.423492 165.167566 \nL 143.08408 166.234302 \nL 143.881138 167.190571 \nL 144.838978 168.026562 \nL 145.98787 168.729213 \nL 147.364828 169.280977 \nL 149.014534 169.658244 \nL 150.990314 169.829284 \nL 153.354984 169.751619 \nL 156.18128 169.368655 \nL 159.551299 168.605563 \nL 163.554052 167.364561 \nL 168.279541 165.520221 \nL 173.806926 162.91642 \nL 176.888095 161.272835 \nL 180.183066 159.368336 \nL 183.686762 157.177519 \nL 187.386535 154.675992 \nL 191.259883 151.842238 \nL 195.271798 148.660224 \nL 199.371835 145.12286 \nL 203.491049 141.236416 \nL 207.539096 137.025835 \nL 211.401987 132.540753 \nL 214.941188 127.861666 \nL 217.994947 123.105262 \nL 220.383005 118.427403 \nL 221.91569 114.021719 \nL 222.408217 110.111535 \nL 221.700084 106.933203 \nL 219.677977 104.710263 \nL 216.298855 103.620622 \nL 211.607836 103.762277 \nL 205.745164 105.126486 \nL 198.937636 107.587776 \nL 191.474064 110.917054 \nL 183.669388 114.816861 \nL 154.323055 130.380901 \nL 148.259451 133.339375 \nL 142.817807 135.80486 \nL 137.980139 137.810326 \nL 133.707066 139.412974 \nL 126.647351 141.676163 \nL 121.20527 143.090141 \nL 113.642177 144.698724 \nL 105.721646 146.210105 \nL 103.115279 146.494024 \nL 101.468093 146.507199 \nL 99.868398 146.348119 \nL 98.318071 145.993987 \nL 96.836296 145.428636 \nL 95.456733 144.64518 \nL 94.224294 143.648767 \nL 93.191107 142.459175 \nL 92.411458 141.112736 \nL 91.935703 139.662894 \nL 91.80363 138.178638 \nL 92.038063 136.740342 \nL 92.639851 135.433043 \nL 93.585376 134.337873 \nL 94.827292 133.523181 \nL 96.298571 133.037066 \nL 97.919112 132.902883 \nL 99.6036 133.118562 \nL 101.269113 133.659506 \nL 102.841199 134.483987 \nL 104.25782 135.539651 \nL 105.470976 136.769665 \nL 106.446467 138.117651 \nL 107.162334 139.530966 \nL 107.606651 140.962373 \nL 107.775185 142.370393 \nL 107.669311 143.718771 \nL 107.294427 144.975362 \nL 106.658992 146.110819 \nL 105.774219 147.097227 \nL 104.654443 147.906939 \nL 103.318109 148.511706 \nL 101.789342 148.882278 \nL 100.099953 148.988688 \nL 98.291704 148.801428 \nL 96.418533 148.293766 \nL 94.548205 147.445439 \nL 92.762753 146.247736 \nL 91.156888 144.709765 \nL 89.833504 142.865086 \nL 89.310268 141.846326 \nL 88.895806 140.777259 \nL 88.601238 139.670929 \nL 88.436184 138.542282 \nL 88.40834 137.407923 \nL 88.52309 136.285764 \nL 88.783169 135.194557 \nL 89.188415 134.153335 \nL 89.735624 133.180794 \nL 90.418551 132.294639 \nL 91.228015 131.51094 \nL 92.152167 130.843566 \nL 93.17685 130.303685 \nL 94.286086 129.899432 \nL 95.462587 129.635704 \nL 96.688332 129.514139 \nL 97.945126 129.533239 \nL 99.215114 129.688645 \nL 100.48124 129.973511 \nL 101.72763 130.378952 \nL 104.105157 131.508795 \nL 106.252598 132.984783 \nL 108.102506 134.710109 \nL 109.612904 136.59448 \nL 110.76262 138.5597 \nL 111.54573 140.541498 \nL 111.966226 142.488771 \nL 112.033558 144.361332 \nL 111.759329 146.127003 \nL 111.155178 147.75863 \nL 110.2318 149.231231 \nL 108.999002 150.519448 \nL 107.466743 151.59529 \nL 105.647121 152.426291 \nL 103.557321 152.974146 \nL 101.223534 153.194091 \nL 98.685791 153.035468 \nL 96.003454 152.444115 \nL 94.633278 151.969446 \nL 93.260751 151.367379 \nL 91.901023 150.632956 \nL 90.571207 149.762598 \nL 89.290325 148.754574 \nL 88.079142 147.609535 \nL 86.959874 146.33106 \nL 85.955752 144.926196 \nL 85.090439 143.405944 \nL 84.387276 141.785638 \nL 83.868409 140.085152 \nL 83.553797 138.328876 \nL 83.460165 136.545412 \nL 83.59999 134.766942 \nL 83.980589 133.028257 \nL 84.603382 131.365483 \nL 85.463456 129.814565 \nL 86.549457 128.40961 \nL 87.843875 127.181243 \nL 89.323676 126.15511 \nL 90.961301 125.350687 \nL 92.725876 124.780475 \nL 94.584588 124.449701 \nL 96.504068 124.356492 \nL 98.451699 124.492507 \nL 100.396743 124.843893 \nL 102.311219 125.392487 \nL 104.170534 126.117123 \nL 105.95382 126.994885 \nL 107.644064 128.002279 \nL 109.227995 129.116203 \nL 110.695851 130.314708 \nL 112.041022 131.577536 \nL 113.259637 132.886454 \nL 115.312787 135.580565 \nL 116.862679 138.294491 \nL 117.934208 140.956708 \nL 118.559849 143.520362 \nL 118.772508 145.956376 \nL 118.600889 148.24725 \nL 118.066856 150.381947 \nL 117.184301 152.351756 \nL 115.959123 154.146937 \nL 114.390098 155.753759 \nL 112.470552 157.151756 \nL 110.19093 158.310924 \nL 107.542515 159.188849 \nL 104.522682 159.727761 \nL 102.876077 159.84721 \nL 101.142202 159.852068 \nL 99.326105 159.729897 \nL 97.435048 159.467139 \nL 95.478956 159.049272 \nL 93.470895 158.461082 \nL 91.427555 157.687074 \nL 89.369706 156.712051 \nL 87.322584 155.521899 \nL 85.316168 154.104578 \nL 83.385247 152.451359 \nL 81.569226 150.558269 \nL 79.911568 148.427688 \nL 78.458791 146.070025 \nL 77.258966 143.505292 \nL 76.359693 140.764406 \nL 75.805586 137.889927 \nL 75.635414 134.936011 \nL 75.879092 131.967317 \nL 76.554847 129.056711 \nL 77.666903 126.281815 \nL 79.204039 123.720529 \nL 81.139311 121.445987 \nL 83.431099 119.521473 \nL 86.025413 117.996011 \nL 88.859221 116.901174 \nL 91.864426 116.249543 \nL 94.971954 116.035016 \nL 98.115553 116.234762 \nL 101.234889 116.812463 \nL 104.277727 117.722301 \nL 107.201155 118.913074 \nL 109.971934 120.33203 \nL 112.566143 121.927991 \nL 114.968322 123.653675 \nL 117.170323 125.467157 \nL 119.170045 127.332586 \nL 120.970182 129.2203 \nL 122.577049 131.106534 \nL 123.999561 132.972835 \nL 126.335088 136.594204 \nL 128.070661 140.016197 \nL 129.3009 143.211872 \nL 130.111586 146.179173 \nL 130.57494 148.929728 \nL 130.747982 151.481673 \nL 130.672675 153.855367 \nL 130.376961 156.070916 \nL 129.876121 158.146774 \nL 129.174091 160.098999 \nL 128.264546 161.940763 \nL 127.131676 163.681932 \nL 125.750648 165.328451 \nL 124.087815 166.881406 \nL 122.100807 168.335502 \nL 119.738732 169.676676 \nL 116.942829 170.878563 \nL 113.648184 171.897327 \nL 109.787429 172.664445 \nL 107.624698 172.923158 \nL 105.297912 173.07709 \nL 102.802067 173.10606 \nL 100.134504 172.986171 \nL 97.29583 172.68942 \nL 94.291071 172.183395 \nL 91.131051 171.431146 \nL 87.834034 170.391312 \nL 84.427568 169.018695 \nL 80.950506 167.26542 \nL 77.45504 165.082939 \nL 74.008546 162.42511 \nL 70.694891 159.252535 \nL 67.614741 155.538304 \nL 64.884294 151.275078 \nL 62.631844 146.483011 \nL 60.99158 141.217749 \nL 60.09441 135.576972 \nL 60.056088 129.703646 \nL 60.96368 123.783918 \nL 62.86232 118.037931 \nL 65.744813 112.703102 \nL 69.546771 108.011211 \nL 74.149156 104.162663 \nL 79.388625 101.302951 \nL 85.074047 99.506327 \nL 91.006033 98.770361 \nL 96.995632 99.022199 \nL 102.87895 100.134352 \nL 108.525911 101.945778 \nL 113.843017 104.283424 \nL 118.771323 106.980456 \nL 123.281407 109.888914 \nL 127.367063 112.886526 \nL 131.039035 115.878527 \nL 134.319551 118.795972 \nL 137.237948 121.592101 \nL 142.1226 126.717932 \nL 145.967582 131.163524 \nL 151.547007 138.128857 \nL 154.693617 141.922263 \nL 156.592813 143.881896 \nL 158.469482 145.434618 \nL 160.414053 146.60548 \nL 162.498066 147.405725 \nL 164.777061 147.834131 \nL 167.291843 147.878693 \nL 170.067907 147.518869 \nL 173.112724 146.72885 \nL 176.4108 145.482462 \nL 179.916497 143.760519 \nL 183.545141 141.561341 \nL 187.163792 138.914778 \nL 190.584388 135.898785 \nL 192.146327 134.293823 \nL 193.56369 132.655489 \nL 194.79951 131.013122 \nL 195.815932 129.400426 \nL 196.575676 127.854705 \nL 197.04382 126.415645 \nL 197.189818 125.123583 \nL 196.989633 124.017389 \nL 196.427797 123.132006 \nL 195.499181 122.495965 \nL 194.210247 122.12905 \nL 192.579538 122.040543 \nL 190.637316 122.228218 \nL 188.42426 122.678436 \nL 185.989335 123.36722 \nL 183.387054 124.262363 \nL 177.907786 126.518632 \nL 172.419699 129.134526 \nL 167.274219 131.841792 \nL 162.704875 134.462514 \nL 158.829199 136.911643 \nL 155.673399 139.172361 \nL 153.203675 141.264708 \nL 151.354041 143.22039 \nL 150.046838 145.067759 \nL 149.20601 146.825374 \nL 148.764686 148.500994 \nL 148.668838 150.093117 \nL 148.878495 151.593263 \nL 149.367564 152.987886 \nL 150.122977 154.259661 \nL 151.143588 155.387962 \nL 152.439052 156.348642 \nL 154.028754 157.113251 \nL 155.940705 157.647726 \nL 158.210253 157.910765 \nL 160.878229 157.851952 \nL 163.988058 157.409929 \nL 167.581033 156.511093 \nL 171.688721 155.069695 \nL 176.32112 152.990872 \nL 178.82712 151.682199 \nL 181.44904 150.179076 \nL 184.173065 148.472293 \nL 186.979452 146.555452 \nL 189.841421 144.426296 \nL 192.724039 142.088306 \nL 195.583199 139.55257 \nL 198.364827 136.839787 \nL 201.004515 133.982349 \nL 203.427805 131.026195 \nL 205.551421 128.032122 \nL 207.285696 125.076104 \nL 208.538438 122.248111 \nL 209.220345 119.648895 \nL 209.251818 117.384403 \nL 208.570735 115.557802 \nL 207.14033 114.259613 \nL 204.956014 113.557052 \nL 202.049715 113.484474 \nL 198.490551 114.036806 \nL 194.381088 115.167928 \nL 189.849386 116.794935 \nL 185.037916 118.807765 \nL 180.091233 121.082522 \nL 170.314503 125.936705 \nL 147.329974 137.87226 \nL 140.196642 141.784702 \nL 136.711157 143.95907 \nL 133.983989 145.953435 \nL 131.81321 147.857464 \nL 130.02522 149.719566 \nL 128.475475 151.55898 \nL 128.475475 151.55898 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p423bba79b9\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     }
@@ -368,14 +368,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import scipy.io.savemet as savemat\n",
+    "import scipy.io\n",
     "\n",
-    "savemat(\"Lorenz63_fitRandomSample.mat\", {\"x\": results_test_np})"
+    "scipy.io.savemat(\"Lorenz63_fitRandomSample.mat\", {\"x\": results_test_np})"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/examples/ode/lorenz63/Lorenz63_fitRandomSample.mat b/examples/ode/lorenz63/Lorenz63_fitRandomSample.mat
new file mode 100644
index 0000000000000000000000000000000000000000..08b7359c6415ad791ac2db3547b4cc86df17eb00
GIT binary patch
literal 120184
zcmbSS`CCoj_ivtOO`0?)8c-^w)LAQ;B0@;!F(Pw#8&ZlAQ5nim$Q+8KGSpei7(yv?
zLQ%?)1{4k7`@`oi_}=sE=brQ2efPa*pMB1H4Qu&h;288VckS<J?vH`}7A{`8z&v2-
zoHYxVuL|=pU$K1k;`I*ZLsu=Bvu443^X1Dt%qPxSV~*h=<^!F~ot!;f26;HSm=AOu
z=p^<3cu9})*N}YeXN9zsg5+IE(iHzUjQszOwfaa&$x8O6CENP{eNK}8Qc{tEbw-G=
zU~!OOAqEHutH%lJ&rTG+&~#yIV5soJdXw-#eTSfHdO(;Ta7s|VohR5Gekk-+{wM^F
z_$xGwQH7~}j6vqT1E`z=5VI%4K9A+l?z0URE!hWuJx;-tm-(=CVF`Rws{w~^{~&&k
zD*g*L!i_<8xNwsvmSy^*dd_SN^Ie0V+M=;CF#+}B4xmd&I-Wgs5)bE`MU>6Ni`Hk+
z_jv|>Q9Xo$%5F409f20kGcbPaV04bs#kF1^pf&gqT-@daFGkN5yyGW{!@-a&16R;t
zouedY%e1JliuM_`(Fs=Iuc?}R^@2XD>6&oCr(V3v#gcazS@FGWOYYFL;KHe9EMysR
zm7_jSR?y}b6IEHpTb}<t?IfGeKS}FP4Gr^nN%!AAqy{OGBJW?J(ZkQt$%Lac`0N3y
zIlP<Jg~rl;ohW)_zK(X?45M2O3uyL{SyalwbawO<^01#o3KIiKH9wG4{3p`|wW)Np
zaXKAqnnRnl7Ln?h<)n9d9a$ztQb+YR(ka<V@d3$X7=DnRdmkr_E9Xe{We(lVzDWsq
zpHA#~Mpq73k=KH+RQ;um?(dQ1`&}x0t3ZcOT{hwcuPu4Gu|4;h>C8K}da~5~p}gmn
zAJ4r!p1<6f!dq`o=d!)CIqBbA{_u1jXEe^`v%_bzTj@03m^z6wZu)b~VqgCLYA{#&
z_ve9HmON>Z9*;b%#A;9fP>%e2nl|u0?M}T!0gDb(gBVM@rY|A=C4RK{umedw(Wbyl
zE#g|u2cqqm6Joz#QKG`YQR3DlJ#q4)(xTlNkwpPv^@TrgG<hn^e)C%TDaael4|>P{
zX78j2b>5pV$P4Xf^@YcM`v{j-y9p;AjS!TU1qo;OEf%uYZWM}p#|o|HNrKJ8!-Bl$
z8R7TtE5hn(66Q{PDuhbE7lvy56lBIpL;ey~FkYn(8S5=!eaZkh@Wl(B$NIyM<e9L>
zb|p;7+X~rY0$jXx5H^;b2K}yFD42Q&R9Y)Q?@cYd*Zm6>6BY6Ga2<U3))b}W>`?XW
zAiQ*HD870efLYZuaL9pBY}>IG>&`^t@j=@#=~5g@y@<z@u$_3&FCM!m#Nw!!tyuAO
z9e%nLf)A<#v8XTLEmu3-UeE(~9{CH7txw<!o`NSfn_%-6XYitrLd&S}LO`%yq0C8t
zasG)Sap86a%8a%poqHo`!oB%)_4j5fo*hpfclJ@k_;lLkbcPmh&!&CL^T|p{q$MHu
z$m{rHGPzelD{9_SmTV1e?%zO97Bx|8ZW~Qjmf{pqmQyw;^2$M~toTENl@9B0r>i~(
z=k??RI;K1U%z2xO6<@Eh=7~Oi`Gc<=Z}?!(Hmd#D>t;VL`__+@Qv31Z8xCwZ#hzQk
zZ25?MAD(E_oA19d=b{0ooaNk;NBq|1pRrmzwq2DU1uL@sO&MMu)ImR1w2;)B1}ZpP
zO`Sj9P|A&R3N(65KDzhmS2okjrkk|BvVcCWxJn<ha%j^2OSHr?n_f=LB85I#<a;oS
zD$it7zkth>zvl||o}WiUA6+Av+l4f3)GZRG-={V0CA8YCoZO0ElTynEf<s?OuHYyA
z^KGY2V`+YKOP(DPRXAg#CI@ZQ<*U&>d3>xHe_d<EE3q$|R5)<9krP*RyYRs<cQzdB
z$sW7B_<*j!vtI}tbVuOh&%Jqrf*0opdGN3DLA-I>K)%04GC!~Tuuhf*Pw#2W=LhR@
zn}a&{(Nf@X9i6n(>?eg>uBP-?&&l%g0}2{nMB5)+q4m8p$!XDX$~kb5u4g6FrVG1h
zbbKs1VKjY8-a_rJ8)(P0wPew{n&vmHqLAUMsi|%aohn&Jrr$SG`|(Jstc|91cVel<
zV;A|4P9peofcjz@y|zC|Yp<Ut&!1OlNa;=LIpZE>q?Xd+=(jZ7q>gx23th32;+Rhg
z{HsBoe>muIpEMKBvFpwI$)48?bLNGIJ-GWQ@_C1mJl9|>mpe~n*-2A)*0^AH`8SOx
zxlL#O8q9xGgE%vFBJVxs&kiu01CM#}?-plnU1Q4yv(5NHs}2_~QRH2}{?NapAL*TC
z2_3$cPaF1}q<TuGi8Hp+q-P7MTO3X8OPy&^fhjH6phAA?Eut{vxww1#4Y9!Cl=$#>
zl1PbBVs%i6*helvY(F+c9Ch76?5^u2u6d#--Z9k><&%`e@b7Zsd1+a(_@s=Oe^pl8
zXrv$}h|1#F6b*6LL0!@4wz0TTueX?fpr4o(;4U_e_Z6>S7%whbH(Oj)vO@G-5GBs=
z+bIUy9uT(}W{77Uv&FRug<_2VV=+CsO6-hk5`8UYDLz_*0y>SzFS9TGcgBspbVt%O
zonUIc8%8;qQM7qY0u7&Zh!)H}OQx6eseV#1#msv{srBC}`afxY&T4$`p&{qQTl0{{
zf&AqS@D|H)92!4^C*N7Z8Dal%x?(g}?TKTQOW>gfiM()264!Jk@|z{Qd0YMte%id1
z&!(;6!%nmL!@N;krR>D1zYRF2tdov)mC%HR>9l|L0;-A9B?G<vVnAJEq2;`Z!qTGW
zLY#&%<bEFpfr?AvUek6^k~sjCD^9@v@NBU4xeonh?|{^Y5|H^<0Y6t(g3HVr5T4gV
z)t5#{IP(kcn*4)|zEYTZN(Q48<#FIRMXcMTjIxQU2(ju|JX;gT8)>84WgR?Xsf&?I
z^zdVxKE7OMfH|&)*n<pFRj()ZckYSjd-lZX#fDfW7-Ddg0m|>u$0L&d=|;Nfa7+i=
zq_ok|M-%5PR>xVJRIyK#GTzy&h=bP4W6)YzEZHoL<$by#c;i2q(ftRUZ??ktYfUh$
z^9Ni{_y(JoH^BDOUqE(H9n3SYh4~?$!9wjbm}q{6kt;q!j{&t1=2r)g=nL2-Hh^Z{
zH;5k42wLq;kf-qr>Xx*@desg{t?P#B4r!ceDu*896;OGf61IF$!JL8Wm=djt36HhW
zT16L+4%9~}FvLFgM%eJp7~LaG(d(5N?rQCYV;-C1>=_oAddvc!?X^HFR}1_eZH}#x
zy>MQCGc4X?f(n^N=oW2=ahCe1lGp>cRA^!Ec6D5@sETsRN@y#Y?_Vl1*gUukrpC8H
zmR<`;*MEl!&3fp$?-LA(_yDfYE8%GRYj{=l0(u>+fU8fRL3eZ+9M3C-^pH{rJ5UN*
zK4oCJ_!)dut^ha77jQlM6`am~3$M)H1GiVh_#t)h>El=E^Z6%q3%_ChSIISRltM>k
zIn?t~#7Wy!(CMu@nz?BsCF<h$Dg(?jFvd-eW~gFjfp;sc@ZCroOkUO(qdn|UCc_?A
zA9lcVX8q8|x*z_{binTy?eSiJJAC2T7d5Y2WA!sjl-u454L%s-utozcxzz)=g=*sR
z-zw<6RslQOq;YA_f3Rg!GiVQN0F|-T;Q#Rr+-om~<c!DQ`sqG=xN{4xjVuC(RoB7U
zCm%8ja$#vj4!qra8Sb}Ug1eG7Jn1sz-Oqu<{kgEPEf4CyUxS*}g<v1Ykka=aR84pU
zo8`(N-s2_2HNAs@)}O(n^cyIBYlY=2Iw9Lu7Kh(a#C?%!cxRF}t{SY5iM@<*!rxxl
z|9Wry;ctttGy37blTMf*xZ<W6?%1Qj1I4l-STEy^ua<e^4i#@){&Wbc-1I=KaKlv=
zF6fan0Dl~`!?MQSX#B(s-v=1tw|&}pEl&m4l*wXvM?0vV`346cyoaoqa`><LJ}C7m
zgu9McK%-|S)O|V*+4~Q{OWS?0D{VK7|GEPb)V71{->op{LL_W)ivX+WO%T+76U6u1
z48?1=z^}+CnD8kYd~3Et#HM)IpS>HtZ`undKc_<Y*K|0LcnWsCya0c1<-(jvh43oz
z9^|bp1$)J}Pz<%u+^ZRer*}c~D|wuBS`9B>?13w*jWEr{64xf$qFt3Eo|SgTGjF`H
z)pr<b^&E{J{Q|Ihav*MBIt71>n2Lvrr=t6dAbc}-GM-sF0gJoF;9RHSxT~)>PSkNl
zwchsVl46c{S`Tw}sG!f+F8DT}9uD`f0C{VIIJ^jbP96r0**oFI-}R95dj{+}F%0I`
z4uI81OrR!B6>7J%3&|JX3+KZg2zQp`2^XiF7Gi2sg*oL3!j<<iLh<R1!h!Y`g3O%7
zf=BXv;jaH&;nmE!LfWDELhSoRLZ<F=p||Zi;n9vr;nkw;!WZWRVfxQ~Lgwi-!Ef#v
z;gVC1Fv_M#*cSLm_)`8_uoUYBTbF-=qn#p5%g}}|`leuzZVOfcZZK}daQJ+5G7MP1
z2&Vnq2v+;!V1Ms@kWg?8de6%O=|P2X93MmIzA9KYxCs^?mciO#>Zq4uh?&v7abcSy
zTD|hZJMDhxWD|tv^cP_H>XoSUViR7U7ma@NW3k9S9_u&l#KpaLVn<gT>U76o-Rubb
zxN<p;IX?q~Ge=>3FBkk>Xo_(Tia6o-M_4*IA8tO}4cnb2K!&IW7EcZd-{OvWZ?Nkq
z68}3aN^AWP>pmJ&*Zm<h#x<B`99=_wJ+{+3wIu5C`w(sFb&|$qU7%&Rb17rvO?uII
zn*v=QQTL2z6u1609ZLK_GTC+X<n<4lr~8`{XLVA^bQ$iYslW?vE3;C#I-{93n-}PE
znuj509WmyR3NyBTX~DM-_U1~hK5XD*%Uc`m_y;=h<X-()i0sEkv-<Jg0tYVNY0qcg
z*mBajKAhj(oAYZecy_26Pe?W5q%Hca?5M*!*VVbLpE4&Mmg7ooDPHFFhXT@m(3+{W
z^eU!`<_vgAe-@Nd-oS_CkamYoW{R|K<_(&9J)h1M<x)Xt4yhMjqGMOGNqtN<6-H;1
za?m9SUcW5ibXVx}!aUls?;5?GP)PTVGCBTtkE$vk(fHyrI_Un2`q;gvq|{mpi1<Mp
zD}K|u<ZgO4S&p}<DRWe{I<I=F!*h!bIE_p=<D3Ost+ruvReLs^Ie@25apu(@2l3O|
z!Mt$75Z<Td&Hpq7UhX4sX__}bH1Xn@q6hce>BehzI`g&C{%o_tmNU0nah;VZE3VY%
zgRz>tK1PYFwn|HI+%LNFppHVT-_VL<PsqjOHg$#+(3-?7nwWNqjFQvn*|Gz4%Q2CR
z%j0S9xb5^KeJg!lwT1Te-$<wCtf!luYw6yvwS?a5DeUnET6Q>s9Ll1|pfQHRPREh*
zpIvnDV-m%Oq)<bA8VwzLl2+xOr<HVtjKXiyyNbKC;Nw$rI{b!=q-*JxW;6YyE?O$D
zz-JoOc#WPetA`r1-8)M@7%aK&51cqaV=!-103Mt$oHPF$!`F|E=T$EzaYthi|Gpc{
zGH%m2$S#<5lc(_Sr4xDFeSdDaKAb;>d2^(eE6;vo$L5OWtXZzhHtUsHZAu5tcdMm8
zRi)&<^CsO~e2!)wOrcu)Sn3?Nf>!BIBE{4p^d--R^8I^|*FYKaU0y5BoLwT$eRoxq
z-jg9lSSE{EelcSIsFmX8*qP!+mvQ1ai=pDFmcgRd3}-ROXn>g8>>w)SJBY^EUu<3F
zB=#CKNVM2EL~M5V6%&^Fi^+yTqRg=QqFnb%asGu!@tVsHarfzDajj08n7Z?<c)!n8
z@p$(w@oN8P;>Gf6akJJhar8Dh+8wS*yOtZ%i=BPR?DHTRmO7l~-I+qy<3lN3V+$R+
z9#6ZP570-SlN2Q8kp9M7^fI=bN?Jct-^cA_x>J#3YIQif$&4-1?YX|(ou@A!&iUSf
z{Hc2mm&{zwms&S+>d9z+9~#H<3cI*!z;51kZZ}`{N#L*#JNVw#7<Svefmc3W#M1Ku
zd9<oG_u6H{=Q1?7q~SaDF(9(rw~wwpn?e@FYLpz8D9%1(RrFxWAVI}k6t>!{!OR9{
z7&v|kw0&F)e!F(SB$op)IQ=;2|2+??tFOZN0Y$JZ;2vyhc??UOp2OH)m5~0V8Y2Dc
zq4RVj45|4Axr!ZdUR4@rNN|cphXR^cD`P@|8s6NfiG%v+VA)k&d~9KWzvlPEJL`>c
z_heJd{$qwWCYfVys0DgESz^UWOKf9HoU`2$&6+GQTgC!)3wz-cD>E$jG{IG>M(B9R
z08@VIVz+^g1nX+z18FrZc%_8?=j3tbW*LmU*#$o5+Muem84~b2lq-ILP5o=&bWs(&
z6yJb>`%BPrsDMF7%b;QJQ#hvj1f&%ogU0p}7#vpu5o(WNo%R!0y#FbTIZy^qwJTt<
z{7YyGdjk_kR>950YN+$6gKty6fmLY}$R7Oze~UWdR1X<!S}2c4%9T)Oq8fgFr-`?g
z^uVwdeY_iLgyr{4vHG7mp6ay1C87<^cCp3x<Lt3SUV>Nr`eUlz0Ng)g0IHY{z+D0T
zarqw!PU~Th&gc80?_FywUTTS#v&^vKpb>_6>*I!t68zJqhT9yKaO6T+Oq<XN*ECyU
zk?B{cOR5IL$TtxG=NX)kD}l;OcR^K_prHFYgrCa;SLrKoOyLsDD!2&qbT5FV;dv;b
zOjxaY9vpw22ltH^;pd@jXd0gbYUx)2H(!J7?}f1C`z?5|p%_B<K7mS?=g>W^5-R0B
z!5q79pnI<s_-QBXNtea^NF_|#u8wqC2m8D*!261(c;3MhKRfrqqbd$K=7=M<J##@y
zamN+qo;Y&3H@=?)Xt@S4@H$H708#3IfH!)3VfB;2h{s$pEYlJ7<m^$txHq=<FvE$8
z23W?LIBl*HcFRkn-|iOZ{_it{|9%O#tR6v)kq8byuE6(m=fHW=F*wki0vb_?aIIqp
z9GDdYfxcV7V*NU39JvydPc4P98y7>~jS#ppB?LD4EP^2`L&4>37!?1v3bu?~4}T^7
zm*+=A<-9luIhO$c#qR}6l|#^Ce;mqM&Vsn$G92D^9m*%)0h!7t5TpMFzRTCb@-xj~
z{i_>JG%Mh77Y&@7r-#9zrf4i!;~NPk*KKscz{DZwUNsaSWcx`tO8~m|os5yogK@!@
z84@Xc7QUS{3wOVtfrko%F|BD5ZrU{tWwS=$$Y^i;HPi*4_P52FZKhZpuZ@#8N_e4J
z3pjp#3!gLZ!kW}eQ1tEybnT0WlKrcpTzV2H&KeAt63t=Y3Kd8@_Fc&7ekj~axgdOy
zNfy3d4;S_&`b+Scop7;IO(?Lb^>%%A%{%znUhkVB3%zG9>hJw|dxuxomUCWa{f2s(
zoY^_VeZ0lZ6dRSoBNlTDVerAiu*jmqjGG?|uRoVAQrW0ewBN|8$o8*u(UIU`MQ;C1
zDf*WfTJ-d7L{agm_@adN{Y3{4XB3I!E*0gtiA9^%JuUj_`mv~YT5HjIiLQ{Js3qQ;
zXevGnv=`N`dWiA|M~iB<GsV=TRbpjSjCl7=qBwtLx_EZsMe$=*p{OZSDtdO*h)+7(
z#owmNv}nCPY4o?IeREtX&3y!wy$z-pYgdq-NenISn?#@fJ4(CkvT0Nx(KpR<s#;w~
zW0E^*#tju-kz~N*hgtLP`_4SQ!-oeKOyIFM=W=__D&DRi#S;SJIQZ&r_G;M6-Mdq`
zW%xn<aVwQKm+a@xafz%mFOD<fH}R(2`8>$ej~Cna=Z-DfJYHy^_3N(Chbdb~MWGk@
z1tf@(RfgUUQ744vu{zLreKg!liGYVi`yn~<9E88T4u*0Mp&4F+>#b_gk#J?(VZXq1
zZ--<pOXI?3Sv1#Bz@$P&T&1FnM>>^p@KF`4m+-e5RaMmdtb+Oy{Jx?~85fUM#y)G6
z@NA4C7Hv{M_4)EB19JF8PZno4NO<-wDfIH~27lvD7^VFW-aE8|%9=l*`|TH`9BhTC
z$QI~%vKbT<n_>L<CRmx=1Y-)Dz}ul2EZ#T6nCC5UNc|UtZvPF(yxQQD<6l@fy#oRZ
zyCD0F6t*eI;NSmb@pGpfp5CK?b@ocA^;8*0hO6QxBXyj2T?4lVXyNEr+9>1S1Dnt3
zVpxM7Rx2A|v#cR*uQ0?f>w4nbhMt&ZXM~enjc~oP5pF##Iace5Dqe;dKG*<{$mwI_
zaa~N%>w(Vmwb5d)CU%`s$D3zWal>I{T(Dgck1dzSzB6R8Fi;v#=66BckH7FZ=nov~
zY=MSPKVgR64>-H;D;x=_hXKiTu+yLx4E}zC9iE?{v9boJss=tuwj!C&;9^w^Imhat
z|9|yho%t0GJN^J&<tErUpcR%#Vno!$f6zRv8}tjLaoJ~C{Ar_rX6uzuwL%4hUDeU+
zfF^GKsf}B_baC=peJtB+i2HUM;h<S2IIqhTWf%0q1-r~~=`sr}l()p6{+5_G)DpWt
zS)ielg+%u@M{5apZRu@_&I66nwZjlY;`Pzya}SKw(?(Nk4J<NM#ZeM1V^xzJCcc-(
zrh-nm@!=1w7}gA7t>0i(dmS8+Xilpg-b2UYxA4N`6-*iR9CDhUfu3<0l-_;{tG_>i
zuPIL;?bZ|6u=FWt?<<8=w`cGxumY(51$ec*hQMX-VB3_B@I3P~<j-q>rcI3y`Lh+m
z^Z!Eqd?|F<Ba2g?D`2pb3NAmQjvX4>xFb>*@75XME)Qe;8)k;_Yc0@gWN$2gVS}3b
zwy5;i4!5pz!0|Et@TNh3{Akx7Rj)~6r|5v@V2@ctZ1Knq8{Br+3KuOf$AGgYSbxM2
z<tFN)@mo!NI!qPUo>0KcvNGt{@E4ktCF?h$9xA7Ogyt)+;pM((P^nx3>BjfKuauzK
z{wBO}EP%)Fb77Ht4$K{V2}(X>!AOTJaO;@`A5LaLLP<6pO}Gq4K3@UnXL;a0{yH3)
zT?D~hw_sM^Vpv@H7(N<Q!1<SNpwXZjD$DC(u6#4pocs%`E2Qz=Rs~F+tco%tv{24Z
z53f!%!r7C1;ToUbxL3gzFYW1v6CXHXN17|1{o{@s$rE?hcp>`>_~?g#iq{1UJ|l^p
zSBBuE>cKeDa}d^)IN>UZ#&hVa4URu=jyDvHu-Ui=zEe^|y9PO|%>4)QHQ&J{?gQxD
zFNc^L_u=b?n{Z4w2M#8mh2DRU!nrZ2urw}7f}?hV$GPp`7_}7+O^ASof&YQ9Hynn}
zUk&$DR)LYlY8d%z4G601p?2CP&}oW<<^D0S+$RoZmF|L>ZAsvJGX=JprGv8NDd>K1
z0nYTi3Yxk_a7XgH;X2PC#_%0Pm3)B%cE8}Oo-~Tpim2MEfqsHM=H!{;osrg9^WFjF
z=epqTOP;vktPciRj>1nZV{zHfiTJBw3c42rqpQ<&eCawJ4`m1AgS}JG=<@`enmY#D
zdkw?n2}5vh<Uq9k)JL*LOwis}8{g#1WBdMA7&xg4jQ$kE&D>n*nSUG(7$(A{$6Mgy
zsJT#ma0EO#H2`3=5zL>X2nB1u3l{=Qg+*O?!U==pLiLE<!p?P@gnOgs2vHG!g3cZ{
zK~tr#@F&h#IC)uHNOn~bdX~uvDSpy|cTJb~)FEBo)dQr2-~<^V)=ELJ`K%)NKGYK4
zJT(y3{plr0jj$CWik$_ictO~iHbyY%IZepbUm}F(ZW0!$#0k^0lZDoq>B1qW^TH~h
zYeGVHv0!oNwNPyHO{nsgf`kRCkaW}lJQb~>&oyV5P%#wDH%x*VPZoj6pUnWf<H6n~
z1#Zfmf@PYyV6*%VjB<Se5v%G!!?_FQd8?p>jXpjswnTG%M;zMXg$C|paNmVs9HX!p
z57e$j+3!*K??Nm_EZT+Z%J$&2BT1MQn}j3h@4>$&JMsOE7`*y&J(f1i$C1m%qP*K6
zEHF03S082Z<m?x4MEeZ*8i#|=E=v%LFA5I%N#1iW^cRaf?unCAbg3mB$VCjHTd<9C
zbN5lr`V1<#n?*yOTq8BQO&e~PQ0c!4Iuct+s!=rrUG;Q9TjKXT{6!mF{!xm96lWfl
zVfrP<HjausYMe5cPf+DMgVi}nMw30yYw<EC9X^!YgSAR@xz}4g?pLVKFP0mybdv#h
zc^mS<AVcowWyrbT4ER}y0as@0^Xq$hyeV6k&BA){C0QLlyH1P0Kh|JURp$(e$2TNU
znTLid^1KLn?sGtvKj%sF%tzf6JGO%qq}r*x?icB(w~)@-pXAr~2hHyLjRtIJpfdA%
z$~5~zE5qwZu&JXIr#cEtsUznpU#N0<JypGLAoo+>XnEle+G*WHx^G%Y<>haBZ}69v
zq;yit87W?xCd2V(<#_5{1&(Y~;-QwRyfsLj3wLR<;WcdzdD(+KKI(DPQv)tN(vv0V
zlfCjx`0X!KR{m?oVTHXo#M7JytuW_aQ_VT9wHIsq^x_jfX1u!1gu50Rb9-`6cH3&e
z+dTDn>pdL~v)AI*Rq8BrT7`E$R^(aDax7&k!(EwObbEL^=^D3EkV_+NOKTvD*|ju0
zrkZlK-qUB5O0r(}nl1;ur1HzpsXMxYem*UyqW$IctD>CF?y8`O8_(&+td}%G((hvT
zTQc}vMI)wEQ(UiFI_}p%Mdd$e%GDM!tZ$<`AzidfSB9T!%kyFzB_1(GmGd@fu+JrJ
zE~wIFhi(H_P%>u2MpM3d&YY$CS#f2UHLsi_@lrec@@qFcUZZ5s-68g@H{PBnkR9*I
zwPpDMeR;aG4IjI2#ip(1Y<=658H{+`27NY;(Bal#4HkQ;u<l!V{(4B7PrUj|A$iTT
z;!^`n4zHoc^_4WO<2m(JDW&MlhqR{VE?Hb-((PYF5kqg##`XdlGcKPJhvw1himUXz
z`zkHDok!123MfbUI-QNZN%QxKl+y1u)dk$A5C0y~bNe#7_3j1r)_6z71vQlVs)1&O
zG*j%1zw|XoniDU`vy7DrkIU6yn<+i`x|GE0I%&cdt`?k}Va?W+wtW9-KaL4?;+9kw
zzB|H=7tbHe_uqN2{3%cN&+_DLO&<IubTF?lc4HM~7vARW$Ucwk`PeNRcK5X4CVyj=
z)6?V5ObsrxRbrh?Y2Fv}n>5uM$WE(@ax<UNotFF5)lo>w<+)@Sae)$KPSL?R>GbYk
zD#@JPOBlO{-aGB0l;b<7<!LOX=5414iN<BMe><Jo8cX#(cF^8oJIPFMH<d>w(e2p%
zly7^8j6#l56`Z1J1?S1~X%0Qyew}hZ+#-7Si2iMUPHyy`4jykHebe6*rYFr6vlLmg
zR<cIZb(uF9v&T|PuAOPiiJp$^TQ`Uo5A|Zx{zLiW){%V3*q@uq0$4F>BCk}O#KEH`
z@&18<yt-h#<Qd`5qfU=xDJLJkdc=b_^ccve?)GKNIy26{pv#*^sqp&O-Sjx}D;br(
zq#CKaWGGyrigOusEO0MLkJ?5<v{uq<!(du_U>G?|JXiDeR^+!|j~1sXQ)oq(_~F8L
zF=+F9F<Z7mbd!A~_8WFbY)%zL!-|{YxMw#+ukf4V@RLQN|Cn3i%31ft#}$u7kF(E3
zgEv*8(eiq+?}}ey&v0qd{G&wEMrxCPxDoZ*)ti1C89>*sdD5KUBPn^&6e{c!LVw1r
zr-lD*qliO$NG<gcMMRz^mAO~Q$&bl!SSjUB|3Ft$n#iz2n%i%xvagapuXtw8<CGmZ
zHQ9}q_zmS+>2a(U5zId87VzbR%eiCwdQN-2g|+u@Wh>PfF6te_(zmy=<Haq!@$Oo_
z-x13FPfzE`&SN;h&Vx&O_Tl{rJ-9<oidVgQP0|Ce(v!W(lz4PLZR%}H$1*;P9+uJK
z*qP^wy4LOYPT4qBxFzAJKlrmSFHQ{_&RT)tNq4Y&J{q<p&VWT$%fPi_vxK*Ahx4}+
z;P2mk@V(y=xG3>ge^+FJXJ`)G^12QM!MDKa;X~-Xw;U#3uax+%wXogpCv08u7qnt!
zu&YB6!}qFV8TP;dorXBJzzo;S>y4q`Y;lkG0PG>*+kqe5acTDuY~Bi3KYl2_oHz`n
zRu9J$X~WU({xBR^KNLsFA^MqnVZa!7?3X?eH##}sI2&s$JZg&WxAagoM;%*|B%Y$|
zKk)PV3Xh~Jf!98UcSRx`{h0$ACTAek?+B<zCPVs-9q_U(3gqXkg_fL9$b2>%v@?T%
zEhoTJ8-G}Fd=#wSG6K@FheNI92sm9b5;8MJ!;rLbV3{8XiQj|40OmsMrBEpMSp#1>
zA^=x!ga71q!AiHiAg^;6792VORWB~UzQ=iB7sC+LT>_y#ui^CAT1c{Ng`Lx-ahRMk
z-jn#kb;En&-1`=2x6BSpES$0NmM6+O_~LM<G3b1JB5oTNjCG%8;iO^n(S1M&Dy&?D
zwlyJGv}6HZmY##xvV!s9o(Wi1J`zg`yf7`+2@Up0bR9DToD;2#ell%v;q*Hwop=Wx
zOt=6qUhIdM?nro+Hx0(VaEF^CdqR3yyHKlgU&wiMP%v?xClq}%7Pco{^DY?K!@F2-
zY~i^Z^NSWf;G%Gr6F0B17VXl9iZ4oMi7iPR#LRy2;>aflM5mc2L?!i0Vu)g)7`^VH
z_+;BFF>z|0xU%OTQR=rW>368nn;d;A?r%X>+Z@QO#GTrWhEvb@K+<-ePic<fG~#JA
zJuXS0xTC4$H2EZ9_a)kLwunMzKBjs0@2Euo2R)Pc9noi$+5CPF9=Fhp7fJFov|hU~
zuL54AH-?Aon8GIUbNTlDrEFgp&e7X8^SbmX-Zd$j&)<yZ!kn#aWF5&#*6Z2CB#aBz
z&0^(@aqMpF&8L>x^NK!(oN!N$_1D!%H2fkO({z}M?yaS3DIWARLY5YO&Jf3HYl~81
zyw~AMOJPJ@vM{rxL@3%W1@UTzkT$g+Xg>s)cVz<D&7TK`y;p;tQ50+miGzdt_Q2<Y
z0}xQ32GiY7!RWjTAgs)VG2u5My5tTtMm&bC$uFQq<pb=km*B{Lt<bBi3(V@|@Zc^L
zoI73%PuT0DnWhP<e78X9+&<Vnt{=u^4#cWVH#|0I2#y^HIArTk%upSUZ?2BOoFyZ%
z$YdlY6%EIHe_x#V1SI#-5Y&1*2v6>F#MD$<3{|njDorCC@l+dsg(>4J4QXu6Xo9$m
zkAQy9;8xLXxNn>XPuHA-_UCD!F>Eg+-`W9>{i5LD#nljheIXQ_o(5-vC%}LrKUj3l
z7v{JETr}~5$J0Dv(?<`eO8120v0k8@4A7M43wN4EK_~>kpc7Nzfyr!Wxx5$>7Ow$Y
zn@E_HvmHF%C&08T`{A5xI*bZC1A%icOZd%Ac#?V_YHQ0OQ~o0?{PhDmb2?$oVFgr@
zXdOfC4N&uAFWg)#@!}<1&-ji9PTe;Yuc?p0i=7j(+kP6(pFRgm0~X@ZlEt_vbqRWG
zUxKg07vqwk1*qmc3-9!rf(OR<<K;F)-4(9rq0kq%X&IsMM^#+5?H_FZ`W}YQxC@`{
zE<o0<eelk2GgPZgf?d-bL9UM`G{sj7xpEf;jpz-6+a_y4>G2isPZ?Le#zyNF?e2TE
zNPn-2c;c_C*p)Ivl+uk7o9vTCt9cosyG)MwdNhkGH<yadPv48l>l?-G=eot<QA%X*
zq)jCmMwFb}n@TqgAWa=l^4vLsO1cB-P3%0fAF`SZjJHzbh@JGnX+J&xe3X<|o~M%c
z`4r`Kms<9gQ$j;EEgaTDN)u#QCsLK~S?lpow_bcB!<KQJ3uhP$JmK9azA!70FU*_C
ztB!^6vpdV#VZ&O!xo9Jg^orn`><I3$a}zJgS;wpUtl;;m3whSDsVobl`Du_RpPg&R
zS}zRwpOqr}&H75m_CKHli_Xy%$DMR?)J#$-vLlPQKjNYd8Di`$d-0Q-a?yjWm%SU`
z4j10u+$T&>WWiLrUf7nY0H?<rz$CH(D^FLblNt&#qXVG8e+DGGhr*LV>!8|gE1Z<w
z0o@vj@N7{E95Xu#=|j#y{^M-e^0ojBm)!!nT_x~k@Jn#tPz_JU{D37{e?g~27H4iz
z!RAHUcx$sEuFLL)hTm-PmT7<7VCRZXt)AEw<b#>cBQbTlKWdyGkF~!8G1X`aZuvC@
z9hObOy=x}nL)i&vX629mwZrk*QUQHG48qQp{Sbnz(Djias>x_zl%p(uk?2+<##Vy*
z@?uyh(f{X5odn+tdqFoV2L5R+gMML?z-^iUZ8z;<$uc8o9H9z+&>?&}^jYv7`%H*e
zyCodll`DLXKPUWta7@V1IV2dn>=$0jCJQrWBnq;YiNY!OBq1PSukcqZMR2-ySa`GL
zxX?WJtPni^l90XQnqXadTUfp5sc_r7Qn;|HL2x(zD}<kuhdN_TxEtORZanA>lO3Eu
zIoBJU{__W|12f>7&2m`VI|>>Tc0%L(1MtP}1bA$@1liw;pgigcD2;v(^Ts#9fiW_Y
zoGCR73Nt{P*Oqva`eUo2Cr*tUf&Xa);=iETc*kHV27X(MuUsRspLPuTKi-bJ2F78U
zb{wjY+KvMrZpB~j8&Rz=3?Xg?hFOiqbM|gnD$(Su71i-cXCqv7yAN|ij=?sC^^knh
z1qz>h7i>H?3W>LTysvr7i+S4n#Js9X(XCB`Vhts^y*|U~^oJQVZ|Z6~9urNwGj>s_
z!+zpnY4lC?6yc!@G+HT_LPBp)bJ;Bl_kT!tzm$>D#n)td{3A6K*ORJEGlk^;r2{vm
zIe4G~I~Az#oe`Sc=XDP*n`_8NUYqc9M+=@DY|U4O+j7)r2hOr~<hEY}IeeHaJIlH8
zM=N)ZOm%0~sqU;k+l_TExN?`^%&Jz7d}Fo)uTbjCA04cCR*fku3^nAp^K`g<h8o`;
zslcN=q<B(7E2VXRA+Lsa^mSo5jgNmoW9Ji1lPVy!g_r2S!E-eC$O+mTmQIN(hv>iM
z2WW4~UOKZmiN=~FlFPC^G*;5O3?%y@Nfa5hmyGN8(^vh26!GB*b@?7A6W`O+_U=4&
z>EuvhO#$Tx5LpEm)9LO~l7%;P)9@3W-1dVOM7C4M78zFFq{MJRgNG|f`2J>NwwJc#
zxm)`3jgS4gM#Gi=Yw+L|lYp=FAI7eMqqzCR7|!k-%gMe0+&nvg^?b(h#rI>l!DAG+
z&-CTjv%PuaOgF~O16bjU4Of<!a$&G8&l4qFz*;i*3mYZ&*E_nq?GaVfU#F8Z&eO$T
zM<}3h4-F}ZrmOc?QsBy&)H&Io+-G>x#05_DYpe||YB!-YUp;Ek)})8ND)jA^0#&S$
zqZh+u$*H$2=}OB{N~t`Z*`Y+O)@t<PxE8r~=+VkSCNv_@iVCOMlj<ZFiu3cPq>-a&
z-Hb^z=iprGud$L&heQ&!#ZkbpWI7Ubgk-$W(0QpVWPDzv^TQw0t2b|H@zSp}yW<~C
zy{*8rrL?&Cd{3^+v*M>}{n;_eok#Z?$~|`YbIyS&d`4jo7w%rnmQ^d5kF8~?m<@b<
z$R?hdu#uzv*YlQTt9VuSVt(Im7F!LSz}4wPd33fj2Ys>RkQ>_Uo+!mXw!9}bYmpK*
z9-}WM(PR`ifx<pnkPz@y3<*9g236XK9Y+m{7PlSpo}T9-j82Uc=Jd%Cvah@p*1T^Q
zMjuxLX;))-^tCSxk{$$k=Y2rNbR2BlIt>oWFM<grYoMqj5|UrULa2-c%Oo6to!io(
zqV+VG)@DQU+-o4W>NaE>J%Re!uc2u8XIT2E3CbF}VER}ER18%|MNwCh>12ZORaU4H
zV~-Yw&e&_S2VPG^3~?BVS~g?RYy3paiJXG*alw+l(=j@BI;Q(hLz5*zIRD>7?35jg
zQ;rYE&<-!0Ino7}i?+D-s2PUa^uSGf6mgDu8(3z2gm&E$c$}CIp8hAHeql09{T>Bv
z4;H|YWIxC<9SEJHOu)NQ3BtKi_*YdX7{AIFBF7yUmV8YR`etnq`o_)_Dock8dlj99
zZ@HF2>~cL}?Hd(g_emMSMYG*odCyO8xp`l`qXyM```oGbmV5rq+sV7x`}&7=Z`BHE
zA@`1=FrPJqpvU?`abqumob3dKv#x^vEFZyod4S;7JWCK1RtjfoqlCIayM*~WQUsIV
zCxqOT%R=@}5>7Rj3R{0x3&j_H3yW+OKv`J_oHcuaX;42{DB}fI1IEHf={b;mEF3QP
z+zw8wl3`2ZQ8;iW3oI@b!D-V{m?u*MkCy&{yEzKDajgzE{xic;R|kBc=7FE4kHovp
zlksod0(^3JH5#Qw;_%Dc(ct+`bi1|(%QTYl{qAHuB$I?RIsv;vV{yIw7Tlb<1Wh(g
z!Z+i*uvMlv?p~mR8zxr+-MI`@6Aik{2f}c@VxdjB)_aJThG@R-x|o%(MY=n@>6d2+
z{kyo0GV}LSbNdOpkadZ?Rc_J_&wC`l^eHLOOH!Tko=nEnl5O5MT6DIVE)Hy?+jBap
zs+TmIhRX7cWQjg?NRbCeE3>A*D)0ZJ#%)m=Ec;cH-JP`g+XNk+J+=qGvXJD-KhotL
zetO(LO^;vP(qq#bdTg*=kEit3<F*63oc_KChfDQf`wnfcf3C&Dk~G<Mpayr|RAUo~
z7U`Lx%mxZdykemO|GqEB9s^`K?U*!=Fqh(i^E+w6mA|ycrHxj7|3zzSTIjD)Gd)WA
zNoq41$vf-^`9AzkOT)iY`10?xzu-GX2K=C<gBnS9@lU#5+e9`OTj<QSU!<+vCeaE0
z(mcs|W;;r8{|D0Sy-t=-xXE*wf+Bzapu|sDg*#8G@%3#QEI&(&Puc6Rb8Qdqw?mH=
zG!58$l_9Uc*ppLlNa}=Aj9K2>glA`(@NY?+N`Gj=IvY(``l~S;8yj;Ebt6u@ZOC(c
z4ES4u9`8TjgXbLA=6B(m+&w^@|GiLQ^HoZGMM;659+%}&zS3;}y_1%0Zl@W(zo>R}
z6TLd}ovOVXDAm1=BKCYD-I3MQu;2sbeyyVEZ{LyLpm!A3QAxA<zoS`?-qC_*RrCu#
zkfmWYB~AE5;Xi6A{!2Znd3~pIbw4S*rj=gXwNqq%CrQ{1?_^ot6r{jErIdN<RaHK`
zT!YnZwRyvv9^8MEKFccf<h9F<B{fo}Y*^Hbk0)91TMH{LT-cj`1zEFAvo-hbXT!D%
zHmtPKn#b<!%|Y%~9K1~uv)A=vDLqq8Txi4z;Rd{Yj4nU?t;Ibf)p<&*G7p=jz(R=(
ztM2L|tBZf=i+U5q6g7~}<4=@6>^->*d_x_Fp3}_jWi+7uF@5;`kS<0Q)8j+;DBb5S
zJzal?qKDj}mAmfH--UNcczBQOa*JuL<s-VJ^Mo9?mXYeR=OkbLn$}*dl8jM9lP}j3
zmNwF;alh%XO((_J$nY15ChBofnSJ-F^Sy1_yl|r)XD;r^9loZVCuPC7r#EADAAZpw
z$tye9k1u=}z?GMrcva^>*1O@%r#?7yL5MTU`b%`SL`M!B)Sssfv*)G7ec1o870;aC
zi)D@(@$bEQd^%8zBY&&#v;=u>v6te`d%x)Z_OH|<=Oe|>dPVuipORbbeUdRIDw%(c
z!WLhlN%mRPo_UVE>Q2$?cNuhP=P@$>o=(`6M&>utsJ>S^sn{N+(dEae()a|;kUCA3
z5$EX9{)^N+R8lJwmrwe03u#R0ZF*kzkW3dmqsrJf^k7g8`G$R?w%)%f&rXUT{wL3w
zZ7Lj-uEo)_^(8d}CLAnd$&aWHuMX<Rp*aIN?W!BYh#?$48rb^uP}UtXoQ+yX@VbJL
zY`1<S_v<@?*WB^tlmKMKS3~%Im>Zw5cVb;9iB5golDjgD_~$eomTOk#*f?n}j%b#g
zXEmK{dPb>!cc^7&9-V%0jvTZkSZl#vih8(%=6Xg^(%jYbVAw)RRhdSC2glRl*Q3bi
z%23kO6lnBIPjYA*Oy;u(ldO~nc|P)_;(Tu!TI54-UXLIzrLh!0Y7z}RHiIg)LdZK~
zCACf8OqZ;;(U~E;sJ?wKt(t#?wnU$zF*CF2{=aMFF!wI)K2Sz@q>Aj<e53Ei|7i7a
zd5)i<&YvIXv2BDIyDjR&;VT@u&wqotd4>-kZ}H<`rHLFoKbRLhn$7av3wS>-X8AWu
z*u-!t7YBuM=Z=NE{o-sM^(Kf<d5+_14PWj^cjKvo9a{}I;Xeu*+;OCv5{qi6`F%0X
zos>=QgHy;)KZ@?TOeMPtXNv!$P03BQV#3HvV#%)v(L|-MxOd~#B9OgQIQ)Z&_w464
zyyKNL1;y2#Lf?P$gnO4_gedz1!tJ8d!p+<~A$t5hp`!e`P!axFcoz0ci25S~hWk~)
z^^7i*_?kgnOkYsi><k9O1bE#t8h##|3Q6-9LE@D4koh16Dh+o-s7)%2>&}2dm$JZQ
z*bR79Tnrn0U&5B6S|}U*2Sx<Tq2zwT`+}sFV}gZ5H?zl-DT8pJ8se<X(OC6w5>BF7
zsGPM3FRWgH8*Z${!T}rcXyj(B58aH7MH}$O!f;9MQ5Xg_&BZ#HjJNYfU_86w?Uy$A
zdzl_8w92B>&d+dq&K=nO;Uw5kjfIZ3DG)@~Fh=vIa4RTH(0F1knCnY>uiBDTG@-wb
zII$y9td+khHr7;&*UV&T-IN|wI^UAAb~sX~tT$<>jHb(_Q>bd&eCnFGQW6s*XlVU5
z8dtN6%KPo3DK8FF|N0ZOcI5@q`tK^mNb2ie*gT+Nugj^^@;znBeWkw}|4=l_aJix~
zPgd5F==TPECDDw%{#f&gsr}e6-Gw)t_T;DlA9h(glJEWS=jVGSu*rbQ9D6c|lS`)Z
zz4)ozvt$a_#s#v^JxR^afl=&a=)=py2lHXc^XFNTWUSjp+>))yV-n;zvS$nZx%7_I
zB>!b_)>V>Uae{(kl4)SuRvM7Dn7ZTw$WMDPEy(Ci!O1!_EnkM#JgOI4tII@<S%sp@
z_w(X4Ax%7|ktB{Vj1~9$M2Pq6SBirlEE2sF=Za<RGsQ2DW{5>EW{MWAbHsZJA>!Hg
zFmau@R#ZP1DO$bWF79nf5Y@W(i{A1_#iu&w#6Y)PamqFl=juEWb^la~p5wlYt%JM8
zFH4nalbtSIZ0IG)KXsrTr5@D7&X1&j1XF-#7%e>*Njo?0q?$=7bl&46sSU}Yy-S!v
zUzbtf-Wm!z@tfph<=JJC79aXy%(ZHL+2^7QkIzQ#Q9G8u>rH3NmPKrB5zZHTM)H@J
zF+3(dj=wj?^SH-5`E+wU_x6cnyQ|T>xM%}gyba}%BZBzY*`d7nN<V(s(|~I?OL0zV
z1<A%{Qjff?RP>+3ldx+PD~5)M=9i@lugw6Vy84<>-YEyCul0qU86#oezy+}9T?Aw+
z?t~rt_rr)`N5Mxp3&CeDL7%h&a2i4|@W_1_SM~%Ze0vTb{#HVU;wM;Q^cAMKH$(Nj
zcGx&p3L}2X;_Cg1cxbSsmgkiQ9tzb#TS-pQy0JZR)@~DQKH3XUt+&KI>ehH}VjnaE
zTRdHChaYO}@#+o-ymG|>7tC<LR0;M^wzWftaeeXSUu%qXvBGHz=6GO}3H~{0h|6~C
zV%kV8oL{4gtCuNCYO!Uo+@cc<V_Tuk{Tuuo{Rtw<Dxv?Y=Wu<=Q}EpX079qTfp51&
zNPThxinkQN(HB=??6WH{ab*r%ynGo{BsDYN)pDT3@`@ziG#6rY^5Ib3HR$VK2vW$<
zM0X)a;%D5NRtmWC1>9A92fd9yfye2ua4Mq(B9uBnAw&kRwJ4zD303^CR10qm*F!C9
zBmD2L8NST7!ntGm;-gaz7<tJN)q-3wCDsk&>^yK-zac0S;f2T5C3Q2UUXr}kAz1m+
z1FxC5<A?(;s4~G3{pQ-^w0G8+RoM$~ZS0APFLkg)MGZ#|l*dDlJ79W5BV?vmgGs;(
z_;c|gEO;!!`@*YmYsUrnJ?JEyynh7hJr2N@ghZHreJ6O|h=sm8V&I|4R(QTF5_bNK
zfPo7l;OBrX5O^XIHV144yCX5s6&)+lRd#}{)gG{Xvlr$$9E45AN8!J7ry&2;1;{<0
z3#GjaL2>v!IHFYwS7P44yJMeW&zvUMPMx3@ERP-rYPd+F2aa|&LSIR~k^G&$D9AhF
ze`ao|^V19CCi`L!dp}I`9fx-RO~f-tC!<z!5I!F;6@6w0;U(S4DELjlM=Jg(9X1@p
z_IhJRrYmOD+T*J&7TA`pk3F(g(dM!gMiqaBB1v7?!<t**t9S{vhNgp}<!;!qECRX%
z=fTW+KUk*Y3e8y-5Rj?`r6;AKd_uht^81<4{6Q2nZf6VO6EcJweknp;*lyumbgTf=
zwh9%=n+5j?{|PF2>x4D&>jgTs@&7nF?{F;tFOJ)L%Z`MyCCR8f_xZF$l2Tb|2rVrw
z-=>VpYKYR%Kqae^ipq1JQ<AnOQHr(}DkSl{uiqcf<+?onanEz!=ly;iu5NWKw`5=f
zCwFrv*S&Zb=cb&=xfUJaD*aD#kCe}Hr<yCc%=b6BLAFo0u9{{}>qR>^|C%I3hATsL
zrw%0T7!1el9H8UhXqcxXcoBDnz~>#yz-~`092}DZ;SKvid1Eg88+IPFl@RLnYhl-7
z!AB+g3#R^&W(oV%So~81)^=(LTlr@=t0@+-mV=Yox5Plfw-v!~_$oHoc@rD|I*#ou
z*v<kyl2}4$GV5zdVox%6uxat}Y<1X1HYPQSN&O3E;OoiW*f_C8+(2e#C&%PE-+;aI
zWza6$4NLf$(AlgB-L0p&j6ttOaoJ_!%%eN_b(`w>vOo<CIp~PDW2WGiB@3~$VGEAc
zOUB4I`_RAR2o8)siDzPq@%^Za*jsT8GqtNwF8D4c9eIr5A77yI_+}hc@d*_sx8e7m
zF1&ZEAAdfVrWH@*>BUoJ3VEhZ_wQ@d)r)$xE?&q=*bO3?JTnS!8bT%ytmuA(Ee+4I
zr(=P`X#HVF%9%Bs6yk=Hoc?gSrQ=9x8y)DGj~xZ=v8FFmhmviU85zfzP_Bd_eH*7k
zjY4f3IZ>Gg*viqC0h07$NH>}<`Hn^E?=ji#C2Btr-jSO3@W`(!93C%5&l}~aTYdpQ
zhn>aEHwrPNJ|FFmokCfilX%P}57Q;`aMOxBw1_>4yN8`djg4n;>bxSH@aim%Y`cJm
z4wR$D<4PQH^aif)xsAQ=YSAyG9-V{V;FMRN@NrW+4iET?GmlEqYLcf3s;U$oqeZb@
zdgQd(n412W(diH?+OW%>+%`Fpys9fbvK&pVr6T&4!RXq>adf<YJjKkLK#h0ClZop%
z(#Zo#)bk+wqiz&Fc?9{o*;9GkP%4`|hz4HLBklL<l-DCq*}4+sSJ;LTg3dY0{R#SJ
z+{7XG%CWJd2!Ckj;Lwp-xGi8e+Qsa^P=WQ}?Xngp>MzByWnpOdI|MDNXW<ZSe@wmY
zhyT@2MZ@8KSYJI2*X^ExM)83dcqA0{>lfg@kxOy-rPa73bTj(tC*T^RWL$P_4_ZiM
z;m<F}a9v_P`aC|5_v@}=k<d4#m^{YS5l!g2;tO7K`-59wNt5kbW!e+0O##~kufz+X
zcN5O>6LcmwT@P9_bOK$u=|dJb{OQH#AZnDFOR;rfw9Pq!V!lPt<~QLK`)5AAbq=Mr
z<FlwP)R(l6jHd+$-Kq45J*{dtrQQ~8N+_43+Y5f8lyU<u78Cko0X`CCBF@}~Rc3S0
zuVoB2JvBj@=hEo5td5u3R>V85-p;pVdGQ){YP?$X1+iY5z1Z=t?zI_l3Ze%IiK5I9
z6qWq=EmF<b=H^w{aFK_BJ9=RzcXiGZ?nnC;PQNLME053M-lZPnJdFyu3sWz1+1^!L
zhTUWCoNhDs*QT9YGEovvo>PJ=9|yo32~)_>u!EXm?(lJ)CqzjEz}!y@VS>*F*gRwh
zxJaeL;d|L2nOOjVOUvQloLkVlu@1WKe}azSzfikZp2cctv7e^KY(SY6D=l?q)qjCq
z37f*2i-XwG%m_C8#!B||$p-eYXdA0)OJEcJZD%pZcCZy^w=-{@1a|(=R<`r$YBs?-
zf~Bg@V6pm)jcBoBuN3u}iK#T3#9qPt#*5%~bPv3H7y=XPjKJ{yb#9-76Q^;0Vr6=m
zEC19kpC6O_mETc60RN74#LXR(u*G*SUMgRWv&P5cRryr>=AD6C9gg6<hq<WbS%|L-
zg}j>P6;#?mxX<V|-g{Atv+mU641tpn8Tc8G_OxS!;2A3E6!f8ka^&Z$Ofl*jr2ljP
zb?r5v!5${`?Uor0G8Z@pB3qJ`A4Xf2I??UGk(7STl`<0DDL8KwNvn*e-qKNYW}iE~
zEpnytQX^^9k>T`whdl*9x1#hT=G512OwB*^XtLmm8Y*Z{VXtLqOK&gk*xZKKBi~_M
zT|KV(d>^aN-N1w~S8%|A^LVHF3~qmrgVRfn;NJxY@aUIxw1(YyFC-NM-I6i=;Z9s-
zv=e9P?!@6&cj8gmWc<^fg5jHY;k}cBuYPeR>fJtwYi}IIqd|F?omzlZq33bKgL0I5
zgXq5RHjexB7#*5kVq)}1d~&=4^}_m4dzLJ1EmtO`sakYj)qp;{A4HZnhf-svJ>`p>
z=}^unT6zLVO@AWoYxbtu^}ckrZW`^W^rxDr8PxW`pJqLuM(elw(z{1q6#ix$dDo1g
zzh|B4d6g}lcQYdgPM;i<)#&g&X_^uG6Xz7a#-G*qFtp(cswfxWiIs<NmVPSQsBS@r
zRgw69@-);=5aGcddpwvr2*>Maqvr|*Z28j14^(O6)&9NZ^S3qdNnua;Da#-5rT^XK
z_s+e;-;}t^_l&#Guhn_P*GE3*n;l;9PK)33`no^(kWoE+@(O9J+Np#|tF$oD*$9K1
zEHG=c;MXx5jRtQ#@$GFP|JE6fhMU%6=9PH7zBvu;b+Yipu3Ws^br!2bD>3QbT{QD;
zMEd*%x8?l9-=h>r!(NMCXA5kJ&6bpK(TP%ri0EUk7cKicgA~5ZrCURmklKvZ<gUAs
zHYdc=wTL*1k&dS$qvNQnV=MVY$IvpZ<uplWKGnaRMt53(o)kOK&T1oCP^>`Fr@o+v
z^)2*UnTOwB#ba2=WR(A{jX48u@N=F{<=bqBi4Ube5G8+I!fl#;j=MheJvZG?3B=Wd
zgqmgq{O3IZe)P_S%F+mUQM?9vGPc2zlASQ`>TX!`Xg{<_AB9T`PQs7=BFK7Q29F0-
zLgVF|&{HPlvII~1(Dr7yI^rvIG<O2`SAuz$$uT}tg=rtqV*bVYtnH2o%X)3W2G`rL
z-A5f6Gjw5-97nV68yq`-c^rHDZ6fpa_F{`Jc(Z5PlUZYkH_MNk#JqP*V9u);o8Twp
zamKi?1OCI9%N0wu^1vX*4bWrZL2B%Jnk>^P_yZ}~pJ0`3JxtqL0}roMfLmuFEM&*v
zS>8UlZI%RmE4M<1SeTU>&4b(({xDDIXU=4CP~z$aVG&L+SkVC-RBS;t*c!xdtl;e)
zYj_%J3%MQ+pl9s_*+#D5rtJZXG{%Fbt`E$$o(ZR?&4qDUOJJ$OdPoR}1JV5?aQL<t
z_V9<`rB5EjXP3a?iV9ete-nnRd<=I6yn&Vj-@&)*ADHUOvp*T?%xJkj`<XtN9sFU#
zB$qfdQL_j8ZRg2`82hnh8v<F6+&tzL8_DWVEM<4CR<MBjm8^8jO7`u~GB#+;Vm912
zj1~9=G1%bCTnCJ0GHacgq|gh=Nb0c*f_K~TrQpH1`xL(R3iE97QFuLeJFM`V3y*({
z1fd>-qS}|-&1c8BqWJ0D<UuW>NuwTl^u<jPSA@2U8=72ri@xQ2mCRmVXI(yD$cg#H
zn~(YE1t0kGWq<fqeK{fDtd6!42DtI28J2&t!~Kb_c;?brJe%o@wWCAu2`xeqtjEg>
z<MG~&6b!%&G+cZXV{Yf8+t&-|+{okSqxbNeM+1(z_6Y+GyV1->h6bNgq09SqNb`{i
znNG2y@{Zv|IiqQZ%LED%o+XDS2GA<sxirOJ@DHd(k%9Y4I=nZUZoZDD^*t-e>s}No
z1w@kf#ZcO7;7=BJC(=VxcZ%3xL#^&cG`Uil&Xsm!aZ!W7-KoTDSvk0NU=sFdFThK$
zTrqvO22Rpy;D<XL;*Y*#{599hVhR1@SLQ6u5$RbOatF_ba2l&qIIktAxI1n<m*e-G
zdusTV`?66242~;7Zq5KuIb#Bv&#ge$dj!Op3)rWvUa%}?CbU?Gfo<^$m|?U9R#k5o
zIAXiu>DL1gzv_hGZ!d)V`z}Gs`0H?-e*kBc1crrGE65xCfz3;0m}HR(3!k9Fp4gbM
zUEY>#aGE1K`_!F<_l{-O^^;k(^9;7XK7@5Agt5%-g=}}nQWoQ~oYn1F&K@*IF(2v0
z%tm1WJ0cmv4i22gtPf6LpKiLb5FyXev}Yjeexu3)*Y?5W>Sib(QVr6rg&^U#56T3d
zK%V?m$hvI>XM{P@iof?c^MU)h@<o$4*>_E%?R65O$GHaLtrB;|#RevP=dfw~q~fi7
zz{pJAQ2z{H+i;bqNB4P8@7H{4N*jOXiv-TSsEB)bEesqo5RXX=#brwzapcC)s599U
zl{@^=eCK>jAF>jwTehNO)K1*BdoSKyco=&H{g;nCk1e^C*iLuwSWP`DRDQ%8$Gb4h
zO@{h4RjGA`F4+pcX{%S(l-oIiZVwXC{9%*G=jSxq?ifN1xeF*!dMWituA;}&*3$EW
z^>p{)dRm#WmYP~tQaHbu^u6a%cI6B*Tk1&z%iO3`%9?(WKDEwLplvQ~$X}?%2Zu^g
zNHAjM<@Fe;?TOa~kB#HWcYO5M!+iPZk^GXqvEn1TgGGX3#VKqE;u1sCx!k#B+`K@c
z*L(bf^RSYIAGw;~xX&2Wt*jwxk2B2a<luPhWcWKh08Z^%0D03_g4(ssVEr=@&aF*@
zmQ|TB<7c*z^*jy#ojV8SLXLEI_f2@3^9cGSn_#=%7dYD74erI#?C@x1wohA|IawRA
z#Zl&LU5zb^Fn4C>LdP)u>EqdxXOo#_#dNl(CXmHF2xWIO=d)d37qDZe!&(2y1x)+t
zJZA4OoBgDjEUaV-^D`UIb_Th#<}7<wZ9Q1vehgq4Ve+io_%|#V{1W1ZR>Aod#gJf|
zCGas4fK`S=-K}vD*)s%wIVnR((g$v6*Hx}pw4XC+Sj?pw4dXhfQ*{62VbRMhT@fsk
zA5(qiOJ(QnNO4TSDY5>Yr{WKV{o?pmZGN|mCI4xYJAWi^GH+KM%3mJ3l241@#>Y-i
z;oGw_`QEtW{4SFs{z+Onf9U&7{?gp1e5m9*e)I2Nyy7`&ymCPm{SWEm?f)$B)Z*c2
z8qeX7W?zgrJ{QNmUWG54;xMHo4WF+#h(^w*Fj1upw<!uN0HMEGT<{JTFX%$UGFciM
ztU*fIM)YL4CDm4pAoDpuox`S3+3z4KiHxK}Hqk=1eiMaB#?$$X?PS!tldj)RqLXq-
z6p^r<6vo8S`pq#ExpXnTstlluf<}HtZWt~0HK1p)(j*@L5|dp8ZdG(D_LTVH9#=I~
zaL?tn44;cLu9b;QP9}1*E1q&n#j0>`j6F2Pd4Xbk7!2z857w^P0rh%&K~d!p9A29P
z%4-YY=g?9ZpH~5!r3jk+YasvhLl~k|2Okoe;Eu@$(0KU`W{ZDAY1Kct@>_~o3GXH&
zPMMt%m@~0^wb_>fJ=R!c#QIYPu{Wd5nf}?KY<HbCdvwZ<MXL>C2@=DZ{z@lSGi?Ne
zBO_Slq!Db3zZ28F=E#mEI<V`PY*}WI6`Q)zf<3i0WmcPw*sVBS_Rmj~x%Ud5xGXug
z$4!!PFT3E%-fv)0{1$#sXn@2OkHFdeHe4tn2&%sVd#{#(XUJKYRbBwU1%}<gQ@QYR
z_z5_->KIhbKMJ;e*`Pj7@DkV^gAoEl#JeR2^72o@D8(}nB~=VR($B-y3W0MYcqR8#
zUx)n#x8Xn2N1#6R1&k?ghU1T0!Fk0m_>kBKTH9rqbB`i>CFB4PPt#$w#zt)0S5xL*
zG?evDvSV|KhBI-c3o8g4&9-gj7}q_P?L0q$J>Toe?hCa`TJ$9Ldxj@FXEA|&dCOSN
z5f8R<o*R4T>BQ!&vSr!*=1fCh&`+AR+5T8%W^5=eWbb}MZS;HC`0*J84!#8wMHO(~
zzX%qsI1b0MGT~os3Y^u6hsU@Ma{U%V&P{>uqA&xTC4FGyfeD~d2B5?|AjoDk=*<}g
z*YAyjki}zQgEa@fvg6=zmnY=^n*t7cGhy_^P|({Q3C7(kVSmylxOpl8uAfc;8{d6`
zE_WCtPv^mng(aZeS`Gu9tH5}2Eu=WTg5)o)pta@?^oPl?t|cl=>h=IOex=}{o+=y{
z-(f6wx*NOf!dPdm7mI0|#zN)<F{9UWS($SLOCP+LiK3RWq_<1itFR@^;&~*yHfBEi
zUJ%6Mz5G~=;M?xebZ1a!%R0J^+5J1}Z0I3L=05WyOjvXewpNuwLH;4|@JN6S4s$_f
zy*nt3*Mn<s+qn4b3a(AGliQN&#+^F<ROI5TE!wrHrt-m_<6@6mN&e?{2mYuifbT8e
z#Q%A+n;#W$oNsbG$Im#)^I1P1@ZB?;_(xLT`Kk7Oyn4JmD$mitD6s(+Uol7b#SVD<
zjXU0Porose{qfM-`S@<pD$Lc}hCWuwnDlcWZr*+r4ZfejJ1&<{HR=X79C(DENNB9S
zx1o=^B>ftqM9pQ|)N#(3JQc0T;FJ@kE%cz17L#a2!E`FQI-AC5M$*cV<-+~HmTs-x
zKo1XXrfEyI2!5|kRL{lGcC%IVbmc-i6d6KQ!Bfb$+=HTj+X=ihBO3Twk;Z;&!vM91
zxT?GaBfa)u%b$f<(J}%tNCulyO8Mz`y!ebw|A~t}|0im*ci>X>lelAlFLKk@G;tOO
zBq1t73sl+$gXbnkDDo1))bz<PC?yc4ghxQBS2TzgY=y!l+u^{xG)T(HfN7#5uom)Q
zR9O)m&b<i3^>|Ryy$vf)K7su;P2dsR3XXR=VNR_iliaMp@)oEwy$!nTSE(^$|18+R
z@pdeJ`3N>~?kG0ww_t%+_GDW&_^_b{)7W_N40d*G0NWNH$kvAkGI%_TEw1usmqb(9
z@o8SH*<dVF=iOP@Do6G<Qs6h#8?nef4R%;fj<MC9;OyTF6;k&hvb+LZkDP{UHT&Vb
z&ki^q6b<w427+NDgW9F`@GZy)&TUqP;NZX9gN<)FW0i;8>noMqm@#L$daqn=PVPbO
zzFIn$5}3;Q`|spr>Jz!pn+e?c{sb;#<#sMfE{Qu|mdeFO@8vd+KETPVALY#3PI5u-
zOSp{ga!%W|iVHno%dw43+^a$%uNd0L`35L});ujZ8)6K5=U9WrRu@?PY&>*soB>yM
zMZg8y7#QWg9e%UD@Ds8DJPRN*q8zC37Cf=62c`F)VRdUSWFApq`Vrbf{bs@@p0!~Q
z6<pbgv*XzMHGWLmFqGZ#U(C90u3^XIwzAmTc(zM*2kQ_RNa7VqEYx);GvpH4yzQ|p
z#%m3GvNxPvTRffp5SU!8Ue;{%F>Urzt`~aVKZ2ekXW(^NyuhenP#G=(tA?a-_X6TY
zhM#)GO;a;?yZdi=wnqysjECc<I3N5yECN+`ZN!W|AxpGG$O}0g!b2N!FlT-N?vpOX
z%$N#X^$hWjZ4G)RKg6rO&yh=Q!U^05%rp3oSpz$<a$+A!c}r967J0!(qfCB%>SQ{4
z0L@sUPs_Irq!VjQsolkb7G1HVkTx5l+xC?0>PVYyok%Kc1TA0XOztJlw9nI-8r?@w
zN5XJgZZ}N$8#|hP-iqk71)Z=pr5{s`NYh%EEbnPhu%P+4RmqYylOV~G-xz571?6>{
zadBcD?n-@tQKPES?vNPwUAT-ZQqH5QMG>Ccd>SPV<l>5D$MN95Y}_~Q2o4{87~#z!
zEOj`H)n<aOU6GA7-;ZGk<zSP;DSSAx0M(wAV2yGa2EC|2a}UG?F1N7z#sf5a_Z(d_
zUJG7^Pgs}Ufug6q=zLR}jD$Snb~SafXcat-4Tj`VYf9QzhSHIEJ8IW)qUr!wx@SLz
zrfvjMG9OPP6+Ed%-AnMYc$1E;H_4lL(ez&vY5m!8<P^kFfb=LK|1g52s_e+ZWC-o=
z9Y|Yu44~i-%Ct@-O>ql;W7E}l*n9aY8phtlHmA!t?ZX+=%Fo6@TLr(OP>*W}`h8Z%
za$KN3A2%Az#AjXJxMR;)thzlKPba(J-K$P0_H;ylqha`B$S@oo<cL}YPMD|eg3a-x
zaJn?0Y}!OzZ{~|@Z_UE~ZS&AFcqx7iT8|qh#^LzbB-}k;U}|+7#Cz_!D28IpQ!B?^
z1vfC#uoi>DUZF|C7c|(?gEm8C>GX0{nx>^o*QEy0L3=AYw_!NVyE}?H{|Ix>7d{j>
zawcUznN9X<7Lfk4MbuXoMLu=QsZn7Cov>I&EqaTIdml#9r-CUY$&Z#l8c!t;TuEAB
zY32JG(fR}x%Gm!GV;?pNv+x_Z`F%cCPuqi%daH5h1TWlVZ;sP1N#Od(8~p5NDg4bP
z&b<En%i>za>6N1j!bMRkZKCc?j+|lg0!~gPiTktlDEBR)l)Jv}CU@gZ9p}IFGj~Di
zFZV7`4myL?As|m5Ci|Je=NLPPa&?7`d1GNwy|2I^41wI=i(#Gme~_P_08NY2;85Lu
z`2O!Wq<<=e{W+IG%B2cs6+VL33UA=+v>$LMu^&9ADzN9Cn#?B0kUjFXV8Lz<Z1z|;
zc4X367H;ChxLq@uSMVI><q^pqeT`yk21c_Xacfyz<2rWq=UR3uKbj@9MX|Gu;cQc8
zFuOG0mlYlW7I}C$8}wXYIF@L#yaY-1c=}ri#wxge`Lw{jNrjO~k&rXo4SN0v^=i^X
z&Q6@n8R#2w2`?N(4=#s@RR^o{y|#1sYJu@o*-*+?LM`7M`h`C=O9~zQ)Nt2BL0^y=
zf|m^)am%RD*tS!+W~`>8z55(=c(DXOS;Sz0Q9Np8Cga!SbbPBI^oRy|xTU5TZyA@P
zqHwM{8y}#rUn5T6_6ZG_cVf#<DPqHwXp)sMF9|aws5K+4P+KznF@mZhh5P8}crsh!
zL+%ItX<TOzE%2I4$ATBouU`@L=5r*O>O|7;c?-zm<{a|&3#2epKN=b_k!H>wO}nQI
zqy33yv}2kMWeBs9$%(&lNL3>?tK7iLd4>4*Y9>0a+=ijqp{Q_nH13cvMp!0^&ypYU
zk8)4)S3@`RO5tw2+QUxq)UIT4R!4E=JiC(~P7RAiKK13Ig`u6IUjcet^XlQ;4M}e<
zYVCY3-YtgvF>?nOm66W*Ngm~{-8jQ_NnGOkUtZ@lH`a3YeN9|i(s#~)^>ZKc6hKvY
z*PH(y2*FFNK(Emml;@5GFZF5QBR3y@&5eeON8(_8eJWH5oSq4Pb78gQc^Ei=2Ob{4
zrSv8+*J^`_^Cj6nKV`Pyk-#IYH)VM<>{z#r8;fuq&(yvB*o2|8*|Tj6*(}*;_I%1l
zW)-uI9pn;NcTFNQ`IyLl#3Zl}%eFC0|BqF9E@M~y=P)_PDJ*j7C^j&AC|eh(#Y7W&
zVSC+E2-Q0aQt>GO&u2h*haU7cA~)`w8;8kJW5%B_;WxD(;LG0C^KTLqarRMj%(NPf
zb9VUQA-!<q9oAuRT0C~|Nx^2e4`*FFgbNLF&~n8Yd{ui6ou-!K)NUUC*4@I>T|)gd
zrydP7oAH}wE1sJ76Fqu*F*r(^mi?zdGDlVE_aiMDtStB*J&b8nuo;b*Zb@^s?8s(^
zBP~DdOvByX$j5s$IaYYkomCwD7X~E18EEfij(k)_q`h@C6=}OsdEE$_{K|pcM_ZGg
zia8l98%VXA1W##@8qF}1r?|JmeDiucTB^Up4d0&Q<V|<b>4_Mlq{}c?zW}@RPoTN{
zLHsIk<&sXOptH|*ta-2v)4ez0*<I_<GAJ6KA6$WjY&j~8TaN1KE3ncc8V!D~MVGD(
zczAy-9`Q=R6B#>kZ%i7RbfsgV)<Lv>a16iOoyG*Gv$(Y7GCt)9y{6nnFO}zbcT+Q#
z37$=-g+18+S(+w(QKEDQA#ZTnfMh2Prm=smsP2p-dAhn$U>rwNgnMH7B_ERa68z@h
zXOY{6U>b<C$@Xw4g?^t+*{6f)4b7sciPK1SiZ}h~VWhmxjkf4J(1Ct4l3b@pD=U=g
zv6PV6Q}~Pt4~6+&b|o6+oxz2&2hieKBHFq{p;y6F?CcncU)oHtXp<5)J#ORs)E@EU
zeJ=7AHrc%6<ej`<aTKrha|%D_!3cix1!I1hxiW7W(j{Kj@Jf7B`?feas$5(-r%*g{
z{R#0K|3hNkoJ_H-@jfx6ri+(f-zOe)WWTtk?~wRa-Epzzz<lw=>T_b(7gxmM;A-)k
zfG6S=EzRO^%?@#tgcPs-S($Hprpu3bWyb%|bL8jdh<KADzI>F`Jbu&i)%*va1b)J|
z-Mr+5BYg7J0zSm@3P0BHE?;o<75~wtgTEOngLPsJv<NZ5@@e)srOE?C>!zYr=>j~m
z<v$_EwG+*2GqKk?4}%*np!A<AoOGlP3+le0#48Efc~XVk#~aY|b3>_8$Tpgs7)Nhj
zOs9q8!{}hjDhe7LOCcTG$@5Dpg<aZ9AA2$=Hhe!FEXt(7ymSikNTc>$iIi5fp3Ix)
zk;(~ATHRtt*U~kqTjm=+DJ{oriyheZYdGGpyTZR&y+xeya2A(u`iUEU+7`-WLP2#-
z0+gOT0E(6Q&{cgIDim%)*5z9GDb)yZ1Kt6z@fBw3{e+xxf554@4~)trS?_gemYXcg
z7HZ0~%GnBR-YP}5+FyyCkW*%Ey9BQCH)Xbas0wQsqrylq+cgT_mdabotbeI8V?9dD
zdaV+Re67feMk}(?R0ZbnOrAZ|lV@WB<e2h)Stfoi!^B21EO4PTyL45Gy*89$XSYkT
z1_?>_F<F8+43%K#PWMBlbwB7m?Smhu`#}FxAILoHgIi|8?@si?X$ygwlP19u6(yNC
zOOm~CmtwhJq?ou!U}|iXVR^G;*{9KREZSP0nHwvxs{<6-OI0PNF8mL7dX!o8XBD>a
zp(>LrP-7R?sk0U*4L10t1{<_eVBCJyWYT^DOD{`{aaCHZ^05}vzM;iFXK1lWleF0J
zSDNgWz}oFRufcBpRA-LH>g+#9HRkN7%A5zOuq_h8F{%^T(5DnwShPG_;~~d<lx3Oa
zYiTz0niLy%Qj$&1mSE?n^uytu{~-6rU&!9x15JK^V9c~`&`9nA=YO3bU(^XJ4s=2z
z-wB>Wx?uFJE_j^R4VSL{0Snc?@I_!<E%)t%+JO>G+FCe%UV?74S(<G}88%B(j$MzE
zXZ%A2rsk@|;FvP2lo7m=3)EO*xjIws*I)}rXtAPc+DvNJ0Cstd4x1vS%Xa7LvK(VQ
zrn_8^b*AgFx@0}}euf_V+NR6q&DCWgCv@1c@&RnmX>De?N;oF^n(T3oI-97i#=4fP
zuqRiPSnFQ}7UC+;Mn}uC#PiZju1Ath^^;&TR{ev4%X?tN(JnAj5ZGDgJD~7b8)QHK
z4u6BbL5|&5xaIc+`fjzt_<gM)ccB$*EWd!xk1tT9DClErzk|MG8w9y_z`&iq;FU=i
zWOV(3Le+oJYcIh<ze}>4Rnn}uSeCh*lxH@l71`esWma`rmHAy$XQr1m+4>x978xTj
zz@7BiQz73s%EORx+l*L9`argBsWDSl5c;@q6K1{Hgq`#=VHaK*vj~A7^?k@dcIurW
zlMq;q8}s#8@?{+seL$O8PZesp4+5JfT!p1RQe-_N<=KXVGOSoyik;}{17FP^xI6DR
zOlxn0x_e(iv-cCM-u@m$(JipI>NRZM_6m%O8sXH$2G~3O1!ULO!w;;7!R9Z(xAO%I
zc5j4+&o9AG?lp9zG{g1v?_f&xM>w|n3pj230k7+RLUp{LGspZB+H*;EMOB7Ly_93)
zt|_wr@>N*hL3Ng#q{UoT=&<c$^#y;MAv>97%mO+Fu}Tv&Hc-)mDdi7gXFCL@RI??U
z5@p3Yc3CmI306!x&5~^q`uZzREZEn2Gd5+DDeJsx%<_0cwq}hUOKa0+w?KnUk5*y9
z=?bi}Sh%liC0L$n54<VsfYvi#!1~`iIC-rJbbr-DU(pkI_Wc2j;_rZ!*)14hSOwyI
zf)NjR7?CW7n~jyQnJVF+yBJKz^6;Y`q2}*(2oPp>!(P?^W!wY5hqdrx=QHT8Y=GNK
z-auvY2UxEE4OXcB0<EyWa6ovD{M;tXE*(*1VZ#0Gqp8Ib0|j=Nz=+JLF=0dN%-DiU
zL)qe4HtfJDd)A%l$SSl)u(RqT+0P9wEOwGBt6%2I4!(6^e@~8N!!C|syL5)LgAeT)
z{;+19i9^`Hlcs{l&xlDq)nW5AHP{S++4Wt38)Urh1=pqRfB_$1F*U+I{t>i<*FX}_
zL&=NF@V4R{6fP)${<=JPq$6Y?4UfS5mMr+OXg~O$$q+b^`{4SxeK0d)AD9T4<n@+9
z#(Y5*jPy7Rz88+dtg0MHT5%fo3R=&?eWhTpQUQG?2v_gkf@;lLxbmYO)E2bB#f4v?
zpsN!`2@J?7cjQ>o4HY))qZYenZNLU^8pPD@4`HebcI=3b6Pw=X%IwE@Fmpl6X`eQc
zIaPbHE3<r<>BlK7e6BCcES|z9-I~lU6-;7bbH_9DP7zDn>Be~1;p~EqHFHZfW%qaL
zv2-6bwo+1-c^>Y9@RRT1K+sbd`u+y2St9H>kvs*8SF#}cP%0SZZG+m}6@V^t;LT@W
zFwSA1Kh_1d721I#T0mcz2`rB>fFU1sfMsdJuJu}QdbJivZqbHs$vTj>S08Sq3<Q&P
zgMpuF3F8bMpy0(w@W>Fs+Ub*^*~A~@<b;{9ZWQFr-2jb$5+E-+4OH{?!<ek&FgvIa
zCbnOK0gG?Iftp$<(0L6Z{@>w4Y#(^slV@+MHJHs%L-wM<oLv*n`I%3`wIDf`{r)zY
zO^lhz)`iVsuOcIv->7A5)^4E}GhD}>9$3#(YS%Hz6RX+kf6JK6?+E5z8p85prZR=&
zjD@B-F|N>z%@5OJATUu)&ELW3aW~=h_tS7`c`8^pMZj1ESGY1;1^hPM<>J~CIhi5q
z+&TYVkNl-O#a2<q{JDr_d`9UZUSjH1{;d8Be(L^T0t-YQTfDWg;*SY-&auG<r$%Da
z9}xT!K6rXYAkI7%jxRT^!cw`dIKOy1-kr1yFU;SMsnW+#-8~;oR7!DA;x%k5x`oC&
zpJ1Kg8?=o4hNTPt;wlwc>bayss|yB@b;Cd!IC2QBJZVp#)Lm$gzle@{O{5Dqr%>wt
z8RWe~=+);7`~_jJ&yl`xdKM8uTV%s2``$dNyCNtq%`@ot0v}qlM&LzGccqi#ZK-O%
z3DpX9%#<xMWbW_-OU<6+b$c;hPdkmXm!+fI-OZ>Y8H`Qq-LYG5AjVylM7xNm{H3%4
z{@tcTUg|$D{!)oLAGxAJtnpnWR;d4X%{R2sqeebTWcaZ}6rS568eyu)CC?hf$<24>
z)N>|rOIOe4wp*^`0%YSjGpAIp{px<s<;Dpvd0{bUQ&Yh$k-5d0j(NtZ?s><7*>BD@
zMH(!<RH3~|4_fA%!-Y@7AUDMWlEQu9)vnoa&T={2JrxV?8Yz%IZ$BjE=RjHaSr{;1
z42#<CgV%*7kiXCd`ojA!bd(Bf9-zloZZTuq!yQ;=;V9;A@5we^@@ESLf5G_sOWFIP
zb!@D0ESo8rz{+lIXKUPcvNz^CS=YktEaG<@`+RaEbM{!yCh5&#k=G`(jkjIdsb(`K
zKCa4+4{ir3Pl4Gs=LBr0|KNy?3rvb`<IYxW<@E1O6J4;D;+vkO^RqrT@|TaO;q-c2
zTx2j2MfXBca@K0>Pm0I<;#6EUCKGD|vvJAblQ`jg5%v!%L%F!Cc<a-3tP8s%@IM}5
zRpkrZSJI59AAiO@wjJnE-h<IsBx#Mk9EF}!qL*XTN$svSt(m4zzpDn)SN*{>jvGQb
zR@PK1Xk9T<j#N|YL=Q|xQt?X{vg~ywpH*&TI>L=cjBzE6l#!HbHiDijI#QtE6Ab)g
zNz2X6>CS6oikP5JL!-1vDN2Rr%$6fPe+k-O^9#?6`;3k*P1scN1n0fIjmHE8lEs2@
z%(!<B-J}aJMIjGwH69gqx*Wo+H~aCDVg_cm?ZsES_u#~q-S|NGG^Osrr7!oQ!h?O-
zHfKL7rX9qlS=pF*^#s1Satg1{D8kaDQnU-Mz}#v?kB2pwy801{N*nO%&UbjV<2&B_
z{0GBJrRYSV0<Ec6qi6>mI(poQEC!j;zynqk)!{(5^hQ#hkgd-50h%&!0zG&2qTQQ)
zX!Ctv(pB~&xj}yPsoR&X?(w0HkCUiXaXej97Ey?@D``6nql}|N=|ZwGnF_f`&)rHC
z*DpaUhW!xwu9w&ya~Ef~U%}j%LNqkbM#bLUs3)I*;qlQ}J83R@Px8fmksOXnbVAz%
zOY9zNf-g?!;_5gJTvDTqcY_pg>L5AXAtQ_5yJYZ7t1RAoB#&jeO1M2(4Igx9;i;wi
zc&yq4^W}$Px3dFw&2mMn7={B*`rwGKfp|YO5??5<#nyy4WG*TAI4=Y53deqdpk2m4
zyoj?-T*s^7wU}i38qd{#N7J-^9DPKATs~@&j4;!EP&|Zuq#dbf>nPgQJDx<|Q^|i=
z5dB^hMk+;1XxHggWT3E~UT@k!rz<y7*xn74@^l@|*s_xHau<^Q`q|_?aVjaT1{xdX
zNT2csQBR5*Jy!mUqiSE^<Zl&NeCsg!PuPlMCQZh(rAC<A_J;RpO6Rrb8}Q}zFDv_=
zo)I}@xO0B*lDHkKOS!40b(}_WH`kh@EIhXjAYqXuICwk5$lCzZb*F&BoFLE;GRd?l
z8de<M3Sl|hLE>&27|qOt;Zw3fEItViWhHRir5qA{uS2cmeHcBn9<+q~LsLr|+|loY
zbse${j8)mz_yO#&Fqd?^XU=kyY*~$~P@j~KV#S{sJCi$!J-h159?Q&NL4JWOa8(G~
zA_`>^nW1b>$ZXaWAH>4cW->p;scfz=2OU)_Vwye9Y>~GO+a@uH-3`%Zg<0~fsj&-`
zb(@8{`7XrIy9AeC<UsJHJ;2Mx3jV11a8-UH+#hQXTZZa^c9JwajCsdRGOgx%PZe?o
z#Ti`k^H{DVYc8j|aV)o-x8{7C25@|+G<W61XVHd|N1|XivFKu9iRjJF9MOWXgCe)a
zbdl}JT_W$TsiHXNR8hd8G*R{LJtEKE4AIXAheQwmoe()C7KpqTmWi;C7e&v#C-Tf_
z5DlE)D!S49SCo2Kp34}g#Z~kfbBEsBa38eYxdZu=IG5@m&T3y2CzBn^$^1^?&MwX3
zUK*d`=G$K60x#d>7JaJYbU%OLlzvHomx?NQ1sOutA1hd?<_@)2y&=wO4rp#!4O7=7
z!q~~_@Hyl-oEM*kniPZ)4UZvF$eLMs^@8$sMfS^8m#M~@Gmn(v?6nA3@v5n8>!&%)
z+J8Cg_u9-Bo=Rl;Eh)@ddM}%DE`u#k-_Pvl>}R)L?PJkByI95b9jv-;6Z?87lD!ms
z9J`f-8T|=8w&!p+_$J(dAcegUesLVgCBEPU#aNW3XT?WHKILh(IqsP@3qPOThVQd7
zaf8iitUPrIZG<f2_{p`nzo7x!&E8?H*H?V7;wM_3|AVeW`?058l1B7NQ!+107skj_
z>_!Dr+NMZPrzz3rb|vZwSEf}Z%Cz&5G6e{qrgO@qy;_;x8!8hkR3cqVC7QNZk($3M
z(D^Y6bTVF^4phm}G$}bs;$*2wcz4%cmnL3Snm){zq5u-uX!eq{<BS9)kCdRRr}}ZG
zLO<5-?Zfi%eduh~hl;j+czA9fe&L0mll!q-LV`Z6l%Ti2BuFAvl59pw3Hq-TttpqL
z-MeMzY_z}<oGVApGv#TPp91~!Riw+lO4Kbd4F`LwP~s?6T4A9^HUh^|>5)3E*`-0B
zT{TJLt|o~mXp!tGEpl%a_RMK$led93t&<YCkN33b(mE|#Bc(-)R%+50(x8fNb^5BS
zPHiS?v`Jf)ws$F$>jNcvbx4uk%u}FJb9t)%AWPedWoY<DX_E1mqJOTE^h024{#ew9
z?I(KCPVp};$@zmFE4wjyeHX4P@5KK`c4Fg?-?;G8Z;T$)i7zucQDagUD!X-K-~xdO
zS<{2x7WAT-b03nS1i3g#Qp6l7!P_EDr@zS1c27CFR4g$2j1<WwRf&%NQ>NWZRmtwL
z8f~=Kpy>ZJNwQRnOrB^{L;V1X;&o_Zye?S})}s;o^{DH$9wqha(e73~nsP>u&bjH)
z^n<#z@tzKu3cl*bQf+#(RExe#X_Ch#bz1yVl|roq-6}$fMrSEdVYS@<xuJV)q)Bp#
zB+XsbkFQ7eVvO}4jPUQofmeRw)CKL>>i+|E_k6=~Mqh=TY%8`{wPIb#XMC6Z8D~^}
z#xE0E@vHe4G@kVp?=*bF>a#y^@#A*f#r?uvKRa<$tH1*_`G=AdCFrw`kZb%aP5QrN
zsa(+R1C*7>W3UPZxeBb3Ng6c6SBuie4WL(pb?JAD9_@=YpzXg5sn%^E-SRZ1(F0BB
z;CT~LmKj9HGzQW9XC}02nhEJ88Vg$RKyoxRq5*LRG`&QR_&gnwjuL7WWlj2&tVTOK
zlqttskzx<a(dci|bi`AVdKUb{1(Ds@n)4IM;s@US-HL}yKH|DlZ*j%GHy9-_T_&7u
z#Kw0oaCllhCZ4IoMWY0kCs&8A6?K?)vL5G2H{i3{Ml4ho_Gq4egB!$ev2oZ(43PYS
z{zCnma$eX?nAnXkPy9psSV^jzEJME?<mtD$k}wxjB?B7`dSa(d$1HT|tbzd*KQyAJ
zD@;iHwJCXMn-eEBgy!W8rNmZC+WOdvru$n{>_Tf{_k}gJjuGZ?y+g@l$`JbKWKK`Y
zOew3;m<|cMI}eT3qj`t5Dde^~aSh5;+$c{?4bpU_rXLT>cjLAlZRi~G8Rhr2;G;1w
zQ8xTJKGb}KlcwCmGe$MIGqwtKwh+$L;W2b#C2rHWhC8CK;$4BqGr#L9I_OqnPn8%q
zN)iU&zJZR0w{T<o9o*yd5EHDPqFUSw44?TLwT`~W+rqVB|KCqM@UI7#Et4eacv;e{
zP^3TdYV;;j;M3mKr7RmG`m}BkL5?{YW?RyyS+*1^cA)z-oX!aRE3E(*im7p>iTmAX
z??pGdXyQgq_g!ew4dFW(C;F4+Kta20$e>%`3VbxBbJ0dLrBsIoiPfo3$me60G<jJ5
z#kd7Ouvz{czH)qlO}`&t;NqJ&=-@SM+*O82e#NNRd<sk81Xe9Og6a`jIMyr^=NwN*
zwT3<T?e=b@CA+cs@@|}3v<F{~Psd?fGVr00HT`z`5YBxe?9YtP#gLkO)W|PETl0(P
zKI$4C|8@gsd)&h^t7rIDU<s7n{)8&)e_~WgAD(xTr7j`&^fOtLtbXcI_$m|H`pbf>
z7TMCHvf;$@uH?JagVr7xE7Z=O6w&HUr|wUoCB;)oVuc@F{x_B4e0<3#U^3k{_oRGc
zWGKu>PBe|6fYY{gPnf-3NirZ_;M;_T$<e8jKlonmBR*1mhHW2j;E?JIxI`>?+lAVB
z$;f0h{BJYzEsM}Ta~8&}pNM%;ZuoD89k!{PVgDurytqjVr?;!%6kY-I@5`dCoD9az
zlt!;YX_W7g!6B~l*buCQTJzK}V7xY7mN&qXqCu$SW{LIZhM}*iJ6_s54g<8N;@tBg
zcw_5g9JD6}$8Jo(LE&jARy}}g<4@r3+9GW0FULbh)i}WJDV}nDi;LM$!51J!Ap-L^
zDq{dGS}yE=JZeQ_R7X(iK@Z9?oJ7w;1;5YG*%UD>f@a$+qkC1Wsiq)?(o#3lBa2NG
z&26Akel2~?TTTrs5mf0EMAMc|COwle)PBvDRtRj4&h3g6D%p-+KOf@Yuyfd)pN^H%
z%h6wVG!8qUg8r|o_>JYO`0*<ri_5KddaSwHE7~+_9(PLe2q&F#gPT3?Bezvu2GC9$
zE=?W`B?S&p7B?C`%1?rZ#WO(S={(R|z6?@lZ-8ZQ;^E87WcV{Y9WH%62o450F#CD|
z7<OC$>GPEUay2l%>oKg}(FA8Nw?b`V7xb@{V!bOA*`PBT?2xWLGcFj!7EZHd?|%!s
zR5rP=;Ws_lv%>LAT46HtF7aa<SIuPGErOW%NC^9{Y&N?!Wj0fu8O)4t%wk1Hr?H$~
zZ?>R+Eb9`y&faCiSi=hoHY~w_ZEI6yZvv#4TEjQ!yjTa-JFkQ6juMD`b{N8vlOc58
zS`eoN!mm^jJYtqGZ-*AtJ4t}4-5c(UR2AovQpn+={apIE1kOKwF}EOiDtE`<oePz)
z<g9<_aWdDGxmGnPZj;MzQL9I*Xv2*bk>8>wQN^p5qWrh7L;;@7BAJ#CqJ{(CMSo{?
zi-MG;xbQCu+}4L0oIh{C4XZZieswr-T7jdvG-WSN-!hOJQL~5()!4}8r|;l$v(mZz
z^GCV*u0qai=M`>C+#SwZ=_U7R!Vk{UQ3@ogRN>!xL-@4NO5hv1!ku-K;P8uJP?cB#
zs!4J1{>Ux}d2|>G#}vS?Ulp)c{VpUNdj+N!+aa}BTF6zXGs9vd_V11r+r8U`&1)FX
z>^J!{4d*asP`r}e*|de_?M-9~@+nMX>TafBkj@kh_pvaYbS8Sgi#^|##3E$lm_)!T
z_HTa(dzL+pN&DEaS^o(;A#Qzx3zM!vY)~3>nT!Lsu6NvaO$*NM#T~JB(;5EHP$d*^
zcgKf^7T}PW1iUMsiQBH_V$`E^IBL^1l=xPSfxfkP{AN8)Ui}8g3A;Wfz50g!H-8F@
zpFeokw+}56Bq>d($Iji7r7IWYNqLJR&9oGl(q~nuPFIa&W~-Ce77g0DNt4oNYLSP6
zHf`9aO$$4<Dcn)ugR=p2!fF7``zX|2TeK<uyB0}}(xPu+n)Gq02K^2Y>NXoSQu(Mt
zIeV4K(?N->NP%K~<td>-mVy_{kbJ)sg&&h79bXBOG48{IxBlYc6Mt~%xh|~e`i-ue
ze&HwhiCZQKnW@Zn1gm!JmuknS0v}wwrybe24qP<mC*Iuf3)l7j#=(3ScJhC)@b6#T
zxV#TFk|n71rzBZKOVblcS-N#hj*=%SP*}Gj%_vl+p#qa*p`tpiFVvvjA}xAUDP$Q1
z_R#ocy40{wsIT_v(~w05R3-3uG`AU&CvQkostu_+!;ps97*g4G13Fx&PfdsPC@?^m
zirx*Nk)GPr7OzS3j;qs(998n)qfARzDw3I(JUup*r8EDeDC4~ZO}q9FN4)rh(``F(
z+|>@u-}3{lOTXggA+5Ol$4C62{Q>`FzC*>Bx0rvm1)t1s!7oc%@cQ!>Je~Izmpyrh
zE9QT|be~T+A-xqh5Br8^P22F+{GVv@UEo4v58`8?KHn`#o%f|_>tH!@NmL-UUrH3e
zNR<x16l!BHEnx@T0NV9Smqwc#kd%WFIj9<wVTB3Jw=pHT;K6j7nNdlj8Eq4^n)5mW
zBmA5h4d@t5i(Z=2x>bW{@I_<7A|vXbV?bq3bg58Vs8_8tsn<x2P6$kxoEmx3+%H2}
zLY;Z)XfFmG6!!8xZNrbDUvMn@fDd;z;{cCWC?D|xZRDQgd5b5QccT^+-akNz<onoB
zdJpsF-ov2X_wYU3M~r@e8s@cFI`uJ*>U@gdwd;{T*(mH$e~l~k-eK$aPq@|kJBsKh
zjz9Yck9_IJWEW{l%aEfxib@o=Tb1@33w=c40P=R!r`v*#)7@@DZ}rSbRc;6soVBF)
z@;2lmWk=W3?df`n1AX@yMxP>v(ZOF16yIr2JxlFqY@iLLktMx2XF)~72h-(g#<alH
zfP6{@&=nOS-zek{H^j=3-DOFE1=NGtPug%p|3?fz_!<XXsKcJ%T3mkQHnwlQfm@Wt
z_-1ScDp_5`sH^AEtG5LIeJa9nTMKdJwE{emU4ZWf6=EP1A=g`s8q>~U%$N%pbnOye
ze{cmGR`GZ*w+eFwEzhE;7PB|k;rS;`IH2GIdj9>66H)Nj$4F4W(BJhrD$(7s>J+_n
z0F5|iKw-5e6!62GR<~Nw=n{L{GsKCsM!C?jr|u-(G=^$8jx62-^;~82<{~52+dzZc
zMRZ}<7)nWXqeLBNGHi07J$+X6E!~XDD}+7O=>uq`hbnEXmnD0Ne>m&#cT6jJgV*Lf
z!Iay=zG&I2=xBZp58ItWZ_8|4KOhtP+S72z)g3r_aUAM=-iV3$Yf!U)Ichg9!6Ms5
z=+PXB;%|{CIbjhtzFdM_@p7DaZZ+Ds{D-;6W3lZ+0&3k%!p<?fal*7r94~tWi)QEI
z=8!_<Wy^5v+)DIZdJ9eL9%D(4z-zq!8HW{gBIrxeOB+Rckf1?d4fSbT(;&KYO~?}-
z9YzNhy3&tM5oHaXNW<^>(DRDvw381Y<Khr1nK6eJr_H5ZE_2CqR48fg38KluKD+aR
ze>g*N0yS+MO&VVv>F}W;BzwnzxU0fmh5|{-JoE*R9)F50C1RBRdj|2$e!N|qfbZHD
zp*)+6-5VTn>{fj|Autd}#=PN`EP3AK#|i%MlAV0!vT%O$7Z3i~(SiJk+x_AW-v{D)
zK3AMEb&L32ASa%srzozDEUVo1XF_G{r#aV3EK|nxn~d~$RhR1VwBd?}cENj(Wk&L%
ztU^PP&wG23{U9bfoj*f#_U<B)|AWmU?Vcpj9X?Z(5|ksd{d`uGyH_mAT>n7yh+d28
z4t9u!?U&}hJyqk9%#FAgN3FOuk*=I_wkKD$D2O}yGm85@avSF%mBu~mImi`@^11gv
zE^`{rx49%|Aq!{H&IM@6zy`4fTs&_Ar&SyT50nTNCr=ah9!G%Rx=m1#o(u<#v!GXC
z7J55fhJf!i0&n#t=#6QIG2PN^pfJym^fG3DN7%ASuiTldxfi?pIFJ?REn=FZVpu?0
zJPQa;X77jXVLqi9Y;(c^R^gY$`X29R*>BSszcrO@ydTfbjEH7>Cxn`)NyLJGm@)ku
zaxBREIrM~|fZX|WAvi)B94B~i=carRHwYa1C`S`vAL9%>JUR}it~h{OjS6r<!WB&U
zRD%m+pW)aoZ!k%%72N|nFhXFkRUhuh|1oslVLkm(98Y^FZ7uCmsWe1V-E)kP2pN^V
zviHs`BpD5qQ6YO|L`La*&$0JxC?r4GgwPbfkLU4t9{=#Y-S55U^M1e2>wPFjnIpET
z@|&^h>{_D1+Krlg<f#^KoUYARZ)mf!$oHImsm(eEgeKENn~P*EzGtn)zb0z(-E<AU
zCHCIop&C!9RAt{!D!i^vnd{V*`IB`k-XL<c^WXd>6pXt-?LU-R-b8w(jdW32Xhh>1
z=s;aPWpF*YU8|=*f9uJ2UIVRe*GTr_IrQGFncQRk(CfD?l(_vLSzJ=$5W!HL_(Ykb
z8dbQ&Q;i4BQD>t<4fYhBp$TKPx%8aa=~L6?q;Sy#vZW30m-WT>#DMeO8}gwtBmO1)
zr0Jtg*zTJNuZcG0m~2xvx@5}3kDBtPS*DyLxcc@>OxQ<Z%*ii|cw>nnw>n|Kp%e5)
zZ-pM;UZcyKe(SJdlr~$O)#MqP8hmGz8b80F!tE@Txoo2nn_2y(kD<*}bF6_vy4TSd
z(_i#k_!NfXENk518=bbOp+CdF(){W#q{LrHx#kNEnf{dq`qxm2&@uX6{!SUQYsq)|
zFETk%NBN$Or17np7Jm>rkG9~6T~y}uSXKTnOr2kM(B#EN+T8V@4$l%D_NI^8aP2Vz
zPF^VH12>`lUp3{TZf5Mb*_@Z>S+L@eB@dfq#qi0BoqXDHY(P6sZ`F=(BnS@L9ZNoS
z--2DYnzNU+8C%UaWt$9Rc1bbhD-%Vxig-`fiyZdwa4lX}q0VKKRCz)}E57ahkNWLy
zqALG7QZ}g-drCEAllzGVE_qMu_g2$ExBqCf@b&`dSJDf?@+*sZL0?r~P!GKqv|!x}
z%9<jWe&;Jmb*7mAlK!JrI&W#u*Z0)M<1?MRUPG_)YN_kDIy$#N=;zi-JZ6tF&+V$l
zTi=V06LC+zoT|(5-umqG%aD5?GvUmBW}NfTf@3|}aodqLJY}#QZ_p4s_wyY2^Cl-A
zKERo$o^j^=;<s6tGpDa|;%i}!?0MdvyOS*kinDF=BjE#lFk|nlCLAa9sS{uI`1Md7
z?r~a!_iL(h_i0KDVtzYaT}xU*H;A!+NAj>L`rT4NpKVL&_>ISu_Uk^aIC+PZ>TlBa
zhu7(@|210ZbCn(xUZLGjuTbcctE7758Y#x!Al!S4JSX0zhNBPY#jGdv=u|1qo+>n*
zj4I0N{Ek+`7n*RYmUNd3cCMH~lhwrcRcIwHcXfE}-8S5+*ofmQ+VbV6mfZ8K4ey)o
zz;kPy`GC6{-!k>!$yptF*%@#C*3*|=`gP)rOPyFs?8F`Oe7VZchvy6S$@O6#JWR!n
zm0g@Uwb+iGEycaj#*Fhtw@lVhU7>Gk@bxfd4nN;W8_d7a(5h<M=<uA**FUDtGjCHu
z3e(PM1=O?EIXXZ5Bz>B7l*~d7lHK!tRO7aXu6t+Ew$Hn%!;sxHPwa4Ru@l_jm06U#
zd=Dv^<xuf}gS5itDCH;S(njHPh1gvr3|EkNS(0MfJvu(LnA$&nL3!nGDRkO5(h}FA
zR9Tr*R%q}lXI)kiKmQ>WX58nlHM^g8<iqRT_=>9+>#p_Vx@7^}|93F!JnhbX8hY`J
zzI}LoZePCCCY001_T>>7z4>*X;GYx#cevb*uRZkRo`xMc@KAe}&)9Iv$hI8)K##42
z$9SqsGj*B&iAu48Y98F7{(+b2Sk6gWV3;HH)pYvqzKIH-#nUCnh15DHhKh`$Y16oH
zs-GJ|Asr-&S<sbI{ru=bqz?_a<3&f8c#-B%ZwiR;rGlxQ>11jEmEMqOrA7$F4CzmY
zP7kG2yD`G^oJu<57LuNQ90mI%lKF>Za_qN*x=h$d!T!hT`{R6?(}k&Q)_pp%yn?JI
ze4v4L_2d+#!XMY^aGIVm%kQkXZ;KNz?beY8to7&r&LSJ{3FU1@5xnAAG#@!Njvo!5
z%zKij^A_`298I(M?1-7XrFbeYaGA*6r;p^9HwN>gCB0eWL4W|Qd+;x^=5zynJ~Fly
zPy6(imKxom_vxod%1@_fo~!8U{vkB@kq5olt4&VNOXTfJS#s>8A+lZ8Pet|;N5zss
zbwS-#6~Xtnn@Pvw!=!8Z%cM2ywo3aC9hMgDE|8XAx+l4XS4xKte3SaFRD!9YT5vqV
z5N73D!lMmNp!%sJ?5YWX>!(5>xmN^e-Wm%N!)Jreua(g6{d%ZqPJx!IyWm#8gYZ22
zG_<~T85$nlhFM$&7qj2N$!T>kAXNqHN4Lfy=_dHl%?3lYUD3+Q7p)-(pZD*L+Qx%$
zb!0S_J{ynC{ib30#5vfZbOFv7z8KSvEk^a6g{bE|7w`E`!+-T-Q9W}gS}o{<-K)Cd
z&Ay^1&(Z=*3$$>7>Q5N5>?!;mln*yw?SSgS<?z0=pWqYNK#28M>HB~Cr8_=7r6q-#
z!Df|ZMM;Be6-mqbi`~{uvhCB8^4Z$^@`S`s^1CEu>Za9(OzSM@?iy!WTIEgiItS6=
z6Md-7<RPTLeyr#wnn`=-#nQTNYiZ}vjr1jXD|KqxO>=%8phxRYQgXpXI<xaC<-0y4
z=h>puX~qYN6&`_CcV$kvrNvFV3^?MXIfwqV<EEi*Jfz5n3$?omc3cmhN1?p@;UL~>
z6v;KiM)9r*<9LGlM0Pct#Iq($<YRBfvHGS_tTuT#KTHYdpMD{HE~OiHd)tw1SBSo+
z9C7~2(&Bj|8)=_e6}jHMN#O;j$<}N)^-x_;rB+kPXkKqpZ*ZZQExL5n@RK}tnnGT5
zHbY)sJ55g9>?zZsTE+Co+Z6GQDvHyA(*qxMGzd0UTN6C|-i2WImiNI|L$oDzPa7%3
z+*b;o7$V8zqokT~Go&R)S4q)|4bm&!ZBo#G+0xCZW76TY^HS*XtJ2*okENlFRZ`rX
zA5z)DR^T3~1Kw{;z-y!()RcPwFX#pbLPDX(^k}I4Hyw63tO97>0IL1BgW-;S5c%~a
zbRAU$@9OSB?9G?(^w~Gi6Zz2kw>qft*c77&h|b`Co_H!Z0F?#^)?;G?*3KG>G-?KB
z#fW=p%W8bPZY`ROT92<P60zHZL{v9kkItEEut&vmObDHg>wb*Jpy)8Ha`eY{_4epD
zPZu-cJ9PYf1BPwg15YO`1Q%;>SmOFt(zl!}*{*#QRH<(*Kbf;nE;arvTg)}34sU$v
zY{US1)-i^ryj(`DU#_Pt-BfyYXeV{KyN}un9{j2fXK2UHi?pF$rl?^z#f&C&=&({s
zuYXC6ci&R0`(J5W^Kbe+^e;V|uEN(ZYjB=fYi_$#oKH%O`LL5Y_ZiiWr_HhBm_bgw
z@rMhKLwDBk?#Sl_Th{iBFS|MV@%$D){_WG5w-xzu*3M3Bb<>B9LcKWF&4YDCFUxn4
z{jrO;<p(n?dAp7&(*k{7uh8ake^vQY%3ta?`X?o<`#_iMD`{N+Vw!GtmlmX5q4qZl
z=xD)NGFy;K+P@ByX25<@>$!*S=w(u5`cCRvnnAa2r_+oX>2&jwcvj_RkZCW$vtPcO
zG6!W-(v^Mm{{BI_J?|JDJbjA1*XI+~71H*WE3`lJ4h?_ugl=R$r)Le-RQ<Y!x({lk
z_twgscVC0ub9H&nStIUKY|dYmZ24Jx@h<M<&TaI4*nV#p-Xi!nLDP|)r}pBp`}^?x
zKcW02DvYNb3}gF;{aAX?mm_jQ_-;gZe)BVsRWil(nbDC)Y;4bIb~gMbN_c3a1!H))
z@IW8eQE<##y11{HmY%vs(@*D9Y2jfSA@<K~osvm^<65$_T0|qmCQ)eWFv@(~m+t-u
zrb#7!WH#25)-Q6QuYVmV?X@l0Y1z=L@z!*=(wa`rwk1m)2Z}lBOgnmYpy4mQ=;<86
z_E44to4Pkm=rV}Te;PqbMU!b@;R5oEjU&gv4di_yl_o#kMcRc2sQ-*pRQIibzW2XL
zmp2s)p3#4_sqhDdmngAcH!Ys2X~<RHmLgN($VVbP`M9}1XO<u@8PSim7Z2fxFC#gB
z$wbyJnZ|c7&gO2F^LU)b0-mWdpI@Jy%{TO?u}z2ZZ0aG{mczriyd{_~uk>QOU_1Vu
zWxyN6d|K@PmTI=%B&$isNu@T0uH2nNn~wFM@oOz8cJ(J&eavCGcF-_+Q&5RwiC+7n
ziSN^c7xguh^t+FeuG3~IOZS*$pm|O5ZT~{L@~l?6531lO>%lt%bMPJO0G%Fqz`7Ow
zuw!!%FtiE>yIv!J9i~9z<Ao5{DIW5al3+zt8q5ma4ZA82zyjM-u+6*xCO^3jH0TLL
zWWECRb6>$e;}4v)QOC%Edf2Ae6m7F?@XHPt^gQK_Q5=BQ$9iCopfG&ZdkA()9fAHY
z#^JAzF?f3UG^`jg1EV5mVD-Rhg3B&;s&&TV?k~gfj`{%XwyQfT|MJ7?DK5A#+yYNG
z>)^M!&5)D&3hs&>t)&BxL;TXMaJDEG2HFjVFdGl3*sBA^O%;;Yp94~M##AZshLJR*
zdP^|*jt_jKBzl~}D;2htHgbbXnA~CN0y+ELCb?mDw(M+oO8(VDmOEHIl!tz(lvn*%
zBe%dmIn7d&TAK7}?l23{XXZ#1FFk2@mjE&2hS2q-2wHn~9NGSvLw6Oc>C}-8w71Vz
zN;sZHZ7YvZ;+J#e`k$C<Zat*1Bb5Z}YA9^%KN_%0liivPc-$?KZxW1dlkr~c&=kP&
zTYGVZ@S9%$jpDt7C-8w2(|LHoJkEDs!clvc@lnBL$jV;EVK*0Zx3IZ9rN<Nwdp(l3
zEDY!S6Gi`%trusuv*9lHb-7&l%qO>((Sn!@G)qb3vHC3~o%)`nYhgmaL!Zia<!j~3
zGaD6j{$97`UET&SC>$=W@YyNZ|7FSb^E;_$e^u!D*a+-;+rzV(j-aLz1m2hWf=~Bh
zu>H<>&|WqhZZBC54Yh0G%lD0NwC7fs(Yy-=+wF%aJ`RHgYl*fiM1J=cOgaA)oI1XO
zjGmui(l5au&Q!)>YqW6ZVSNnw+ZG*`iVhm}_E@pS6Aw4|VHd|B{P<PeGoGPh_6W!H
z$wTn4W+Wyrh(<-i2=uTYfzN%T@cFr+c=Y%{T<;!=HzT`a>rq|t@T`tF<(4CMIc$y<
zA$sWkN*UF9euK36<&c|t4T_$ehRY+e;X;qi5ZPfFcpV%KzuxtP*`*$kG0+?qx@&;l
zvKr~h@h4LAmICSbor98#ws_zESu1hw9BK545mLd@P-(=GKxti>w{$$uRl5A$K^h-n
zD|J3(Ej1QdOT~+Ar6U&|q$x98q>bx5r7eH_q@;(z(yLZ|rSH3kNWYJblPX}2WErqp
z_#_*o?S@;Wil13h{fDE{POS@4(46bisDKhFC-I$Rx~fq+Wv>BC))>N(Mr*L%;|^bw
zyTSBN{lN3#C{P(U7siiY1Bv>{@b$rNcyZ<^%)5UPK6SbcCmSoEwOb9`n%oL!FKUf(
zL1t)t))C9Ed1KX33EcwwV?gi-tkoA>oneb`$bdN1Ka+sUtv6zc$rgN_n2bH$l5z6m
zO;|K55pDJ3(dFuVJR30<S0;pFS4UsG``ZEsomIxf?<HWi><E}mSO%so9bi?|4XLMz
zs$}n6q8L1IuN?UGpL{sQjbfJ%q%3J3g?S{B_5SUod1)VA-*<vOC!MFinKJEZzDbX+
zKcqm@GD=XXq;29HUi#+~ZE^fTt;Lz(eZwCz7yXoxj)Ij_C3J*MTKvhWHFr6x#~qCf
zc-I&sCea6wu&FJljW_2x>Xv+Qo|Wh^Xvdy{^BmzX7;qUjtai+X`^~oD1@FX}OW&HK
zYpmF2ttH<tG3Uo0+H!_CKaZbj#11w3+<Sl?C#36e{zFYp7a5-1E-GxbSc&yho2hA1
z9r4m1^q}ku*(H6T!8-*Xzx8Ws{P>cbIzOj-zn)Q+i^w%REupSLOP`ZkOyviPNzt){
z>by#+_D~s7ayc1%d`_KCSCZj>ugPZFTN<?ZBWXVQO3mwPMb59Dwp9HgpTJgJ;-t!!
zE}~y5NLzHr=(1*lKJPgu`T(w(^77l}Vm`6rP2zJ!HrsJ{Uq`+qG=qRvF5GUoU<vhh
z<KcJRc=QW5mKVA4?j5c?vbzi4T;$Au0z@}Jx*hjTvu4!*;ZX>`C6<gB3)^tpox%^E
zqQPF`a~nDRC12e-+8<a$r*6EX`a<CexRp~}yQk!ueV_c#-lC1;u2IAZqQTpX$gW)>
zP3v)qY&FEpE}li6V=vH*9~VRi!X;{YTtJytMRex3Ox4j>skrY=Qlq<ctKbo}>rzUa
zy<d>hq5o(@ve1z~e5c$a4P-u1iCbrj*`ZmJ%NFW#chR4FQ{-~?cv$jsao$Zcb>x#_
zE<CxrJ5Lrf`vZ}OJ@?*^uiN=^joejeUjh89CV+QO3lQ0uuDr>x3oG>yJikIOE=h9d
z$HH&;v(TQkWGm5YD`u62`aIlJn?uj2utq@>y%-@r_w@g0t40~A_qj**aE1Q0T%=AL
zPt)|TN9eC}4yAPwy0}#a!ILy{j!34>J2#0;c@m8ny@3iJCDPyTiG&3kDBNWuo$0cf
zF1$^q#a>(KrfCLw?buBf=k|)7{6o}o<pkY6f0k@Q3(0ilRq7jYkK%8aQ1q);bURh-
zcRv438!MD}k(LJk6aBeebd7o0T?@9(wqxsgF8sr*BhMi}{-qqqC(DpSEPHeDk$&7^
zL^#Ll4d#wH5!}=i!H-lU`1HAf{7b7ptF`IFeai(5Ix&Dh_3+`e09WpwZNpAECTzMy
zhm!^f9!ORVUGDmvh8(*^304<q*XcvFd|3v$C2pX!yrs0NWIWA|89;wR18MFAcPidw
zP3bv?!iUkMpGr!!TfJ5;x&KbyYgH-VC@PZ;<Dbei;IVwa<dJOW^hCC3TO$A3SuO|c
zdnG41y_ZKhewQEZX_5oORVdR$o6?RMP+nULN}l3CdB;3x>sNo;(!CdzULH&_a|PdI
z(Ogo@i=&9oNi^MOJFOooIvK_buV>OF(h&Z{ixs7G?BF{(^RAvugkKn1qQ@__&AH=Q
z2jM?>a-ebm_loJo*7*Z@YTgLeGmT-*&9ixR;bM-1m3($o9M7E^&l|1d`NM?Oe0oeQ
zKQNxl*DNRT<~zeUAvJ`L{OH7c=Gu#QdK*^S*+@Bmi%Iq88JhVnh2D0bNE^0wpc}`(
z$#*JK<?j7{E5-(X4C-O-Bpn@{EDbKbE~O~yq?(xquy}zJjK0$a@~ICr?~4TYyvfk2
z<05cyi3e*(aelK;0iDhn5HK$rQr{f}=Y6>la55hxGX*?)e*^Y9Jc7ZG%AxP~H!yBZ
z4eUy2gcnPdF=nhLR?XJKPua$}^|b}s3m(?j3GK1>3J=^g$`^-!^2aag!T55U*l$@7
zg8dTv;+-@7Fs&>M_g9DEm^=OONnBsdZXJS?79#F=*bVbL`(f=p4~)Cygc;85aI|EM
zZ9H`_RO~5ch1Y`gxeD~VJ%YcJ367?mfev@}LwmanXtjGI*msG8@l~^7VeA-~?lcIV
z+~^6>-2=dInKw)w;s$kjj?iX>Ep*!54#qTCf^WPfn7LX(&#HD%m}Lt+q8%Z^z!m<I
zC%l~M2fy@!U}t_W7&a*!9=4B$Y|R+(Hkl6tPOgT$#fgypEd?TNcEL#f17LdZBqWX~
zfXW*;;JI<J$S3~?yQchr`twRS-Bk<Es~X~?AWJN~=7>Ajcp{JT$Df|v@tU{>v;GW0
zzxAUqwf!Uv-!2YD33IUJ+<g31wE*j$&Bs40=HRcJ)3E2Q@%Za#Bz8X)hR@w4oV3OZ
zhnm@;ve<)r9^VRQs8_=+yBknka1^xLCPV)#GoUF-g7NhxF!5iNWVkL%QdRCQDb^kj
z_Il-6bZO5Og>jCj{KtHOJazU?Ia=kstR#NTn~@y6;<bhp=g>nc7X0oDyLU=$^YW#8
zSD#4VXa11l?6jcfy#>4q_k_wlJ>Z({2>4>X5VrkJgezZn!0Us@;PwCoxL6f~UC%Gj
zeU%Cpq1feIYmXM=I-$wu-Wb$z6nc6J4QYA;u3xnkTY2omsLrQQ5LR&3ojdr`r3_!J
zdX1N_e!!|LpE0D{M|`YQg{qw%;_@};QJ$KP&HKh;u(mG#?KTF?G;hmxo0#sswd9k-
z`?CL)seGViB`?cc$MV5M-Z69om&Ygas<R0^AaE`J2#e$Ib<6nu?gd=AW(MmYn85%2
zj1sKTaCUa>$=f{r`Ne?_{Nkd>FYYm5i!@bEO8-WYYGu^3SSGJwf?;weopwj9qa(gE
zXpi||^648$j+@=6KFf;sxfoJxu{JsPQK#u1s#Nc*N}Y_<DSD$8y_lp&;}#mz^zD{(
z^{4~g&T^--6FSp_pFq?vj9$!)q`0w@XoJUms{St6(Kiw)*Cv&+)pya*b;2t>luLgX
zT%@ArtD-yY5gi@zk`DC#Oo{qUbo!+#TR92u{G|yWR<Yq@DK4xN>%%in2l5%~-mH9d
z5MS*uk`Kqm@P{#T`1$UoytZ~VuU)W~JGNiXPo5{T`os-<X<H&c>zlyir^T~U`BJva
zo6g^MN3%~$2)9h|<_;??_^5^ok4`G1(2`^H*D;Rl?{%h5_dm$}&&-k|zxP#qI&eGK
zIx<@NqqI}1*1ag*T6RyGGyIv9x8kLQsV}93`f{m9#Z$@A{hsvl<W=cKV}Vq&I!}t-
zbxg8ew_nPfktLbU+94g?y-gbSFIC!*l_IrSoFbh~N|h2yw@Uv-W=Ne3GNo*#9BHQ8
zQEBD2Gg4yjLTN<!4av0di8M5;N*dexyX2m#1bKh8pmvNg48COpN&VeH)(C(-27O^=
zViZi<G#!Fr6%<cQf>f7u_@uNSj;o%5!~F;*)jWceYH#4bqjjLwsD@*g8lY`uJM8Y>
z0Xt0Wif>l+!B=x4F|6HGtQZ-K2~F!T^UfCRGBpD~rS8Et-w)vt>s)Mo><qdXpF^7$
zXYta8)41UBQB(=qgZuPS@mj-5bPgPb)%#r0dQ%--c(4m1mTQ83&2EMHb#q#2x0Xyd
zpCT{)N0ig<J%vrIqbb||(H$#g&V8!P=awq7+j5~ldn$2UW(%#>7v5og1I5PHQ``JH
z8g;&oqSw`vo<k!UZEB`FmqdnVP%AFXRuNi(Iybp!aoO<JeDF#e-ZR#SgI(IPZ5vDe
zp=HCv1(%^pvpv^;7u?Wup8QL^&nIm1<GaiJdC0#2wo?t_$BTp6tgpn=r${W{3g$jz
zgSd-pHy&;8&u2w0bWcG?)|uzVE=i7DZE4L`J==<$q&}xT)8rTHTXB~h(a$K}rLhCc
zY1ZR=)M)?{yg5&A_vcd0u7i|%H=DNm?4%txw^8)URQldKnO+-hA>+rJDPz_a3V4xB
zf3(wR<kxMqX7LU&CuP#Ck^894kwet9`~-!RiM^q7mq^6Y=|jyeIu`nv!W}E9GWHEU
z4*N>yGsKyoLo0rCRh>DxH76$-^1@s*e)!Fri$k0^{9p$j-|Wr(JNt7e1aq8HPqrG-
zmp6D1;Gg3MbHlx%oEsL&ALJ-5Q;+7SYEc|{c$mm#4CZNv`g6Kq5!IMUJg&iyPd)9x
zS6<t4r*S51zg>&N)-+S{z-pSO^?>FWU!pZv4^q_NZ8TWqB(!X2)0y3obly6IPR#8>
z$NIZd{&+{~I?9Hoe6pgXLM!T*XiXjU?P-{0dpaBILDd?5bmc%0T?^<<0}2LFo%txb
zIdm#*oVAG3I>poPLmNnUTPht;-bHhpgzvQG1f?H7Py1&v$*=EGN3C)i`sFQkOZ`bI
zf0fuJLz8{C>a*83Gr?4_<EgoBY}Vw<ez8IP-LyALX9u!<hiGmUF@XovPv^K7^Eq3N
z<-!iDd3=X>KGS6l_vo;Ob>GJEgY=agpS_5oayoyVH<~Z(9>6m$1#+KISMK$nG3VMU
z@q|8Q6!Z5K?H#d^)B=alx^;qmWA#9eS~6eG{8Ox0{bozI<sT0Ok8Wr!Rk?SP)ED-X
z4t*OcRZkcuJ@yZm+!uD2=3eub^jBF+F6XqQev>~0`*{@wAK#M}Y`tx8@LD64;PmK`
zLCe=BUH-i3L{Uv!GsTRK!xf(DNs7?y!-}Hg*A#tLyjG-7_^asiOjk~PZY3|8<Sy^t
z8z>LI*kAT3A0r2N&ler3YvfGFWO<?gZn^!yBeGS}dAW_o4SC$BQh8SNNBQIG7CG~}
z7R@X%p?BI2A}{Mr9%GOiXfW}ENwoV+EPcC^Na;hjlds`^Dzwa_1zWDrf%V0t?eu{h
z*0#__;pt~LnR4<j@x2N0<pWAR*pwsq<DyA|#kzz??p()uW0Lur%}#!ok;Cb8j<Zkj
zS>CYv65lvj#9a(zZg4K*=8+fp?7&?9Qkl(C*G>HD?R0+IBKZBC)i^eHFP&cWT`qQA
zBt3W#1=6Dva4fzO%2QjRMK3+nnr@0?^(|3N%wk&>wnP0rRyfVd67_nUW6bEbsMu_R
zeSa7UPN5+#O*Oy^75X@Gp*}i{*2n5(ee_W^z}sgHuq@pWy$%}T>{4UYw>QO=tJ<Q?
zJ2M>H-vX})w&t5=D@^gR#%FzO(5{QE04UmG)+#&fbKef_E9|gkpB-Mdv%`7AZ85gH
z4Q_nX4zC4T35J3Ny0$mNnO9A)*uw}Fv-B}KSr=#R)JBU84cw8YiY?n)p~|opNYAf_
zgb}sycGy=aKlcGvuC9hxSE}G&{7b02UIF^a&!FX1DYUv&0<PvIu<CCy_{WsMe_^GN
zbg~SdCzON#<L7WMu@W+lyoNa)-hxW&k8r2wS5ST=dVCMpf$sHYxRj!V+0iQ4Hc%b+
zdTC(~-`2PxxDCz=GsKz0OmOf}GaQeWIKa>vLAJ$j!46os-U%Njx5x1Qu9$M(4I{5~
zK!+*rICrnRVBEQ5%9#!bYur#ScR}?F&X{WBh*K==Q147T9Qw^1E#H{n``re(+)WpU
z?$tzxHmbN@{~x6I*MVOCS4iCV7G9cELakF7?0o$QvWDD+ri2^dv*HR|^p^!E@G>+t
z6hO-FOJIED5**PgfPaRCkaPJmc>Ghq;-?I`KG$K4;2Xv-xerq#p1`SnWnew}C2U#q
z1`1n$0*hbY;h=8=9K0s@ArDpX^h*si)o6{{A)@1Ft1<TbV1|VO?XYyU9XgzH!nYS)
z(JsXUFFJW+%G6F+9NGnYU+jwcd%NNMpMlu2HwgFc4np5&fp~v__`7C*JXz_7jV<2z
zcY+5d+q&SmKK8iqm!;@UFu_~>_0TCm15*UUM1Nu}tg5Ysse*~F7jO?;#Buas^aXg8
zaS{TR4}*E;UZ@_o8wT~ufK6fBAbNNjv>TZUr$bZ0)+i194sC@OzqiA*-#g&y&P<qA
zz87Lo9E8-?$Km9!)1W@?0^AofuF~b}V0ZXF{MIXlF13}=FZ=_%b*P1tGycHrG!^`4
zuZ4Zz=;5jR#+X)NA@%_6u+q0Z=EQiQW1=s9U)vRPLnL%M*Au6m>5JaB18_vuAiVu(
z2u^!640p)GF*j~F-u^oj^PD0u=j#Bh9NrhJ=XA&BfdQyt<&6nS?eUDC6@G5e$3sbK
zXf^B??C_|BVVbw$KIX$(p{LfBr@`OEwctB{4z#^L0*sqO!Q;B%xxe#;6hjYa)9eDb
z2DgXbkJ^KsuNzDV_Jl^+7p89(4Ar&W!6>Pp=w%-Yv~(<}gwKH9noFTDVhvdCOoGFa
zX`r)X7u1c~4<%<#K-%u}(AR<C&%k>ixj%y^h1KArRts9{N?18X13lc@pl<KBXjx!`
zpJK(&aD_J-oC(0iN<A@TV1K-@au_y@AA?WtO~xZ@XJd80MQByI41d<H!X>tGcm(2b
zN`UCW{<sYPC>CJXZ`1H@@@TXu4aXK!30GWo$64deanyP>e31MGipCYeqNO`Q$7e2F
zOztdtn^d5t!x_ot;Sgz^-mPFw=b=GQa{DSaeYvdoq4`S@Y_2Is&(x8_CaB96nso|)
zl~Tp(*i(v(J!=(rLOm5;efJfeeljXBudXaer?yWpc%=o8wvdCN|L5S*%XFl*9qc5p
z%FfbDIZSeCH9=}DSt>0rNR$qU-Xs4%`=sFGrzDH63Q4|sUwRi?DMc*#F6sYj1qrdO
zVfwqa(08CCtbXDRi#GsV**XyV8;*x%E(^it?^@6wkpkJ22}!+<!NFFSAXNlC$HZ5F
z+S0FZTeTIoacYgZ&Sp43-wDrG`=H%E#2(!S;l1o}7;|hMwlj@KwQotd{<JuAwaY}M
z_xo|(>0@|P=QMU&c~)q$=P=?>9{!%4i@(wjU|Z!KX#IRW>Um8?yPrY$prH-g*I$9-
zR|Z3arN4Bm?{)dG!AM$qDVwSquhP-huP9Gsz7vC5NUfq3XL_q}T(Al^#ERTfuU5R`
z_CIQC-a?<RG?8Uv1C4%BFMOzaI`OTZ0zDdOoXD3P)ci{`?kVx>8fCsQNsU*#X>y65
z4u4vu$AL<QoSbXI<txnDJ*FM+6WQlp1Dsgb*Of~f-FZfum)PC&<sCme^Sz9&eE51d
zelabG>lOxcOKC87SRKrVVuHBanr^K1)Sp|6{*pLzZ`N{j=PetYxooU0S6nmaTTc!7
zeXb6NFHmJjZldJPU+6!}S2TRO$fX{*K_}i9l3u?&s(o>k_U_N2^z2Mh+{~a{<86YQ
zkV+3;CsQ*fQ~vs7x|5SaDr?hdWxMV4e*6yF);E)qZtbNx&koXp`Nzq2`x){KxJdoS
z%Jf$4CKZcJg3H}9di0@+LgPMBXxcA|GW$oJHPpE9yf**dF7#TF-OIaW#kSfGoIK2x
zE%tO|izj~kr=lBs<{-Q2_U7Y%`?3D;f&A}R1ot~XjO~|3^160W+>#K<E3$|2&><15
zoil*nZS2Es?2$jN_UGJ3o@~+6k^7j6Yp`CI!=Ja}SqHw*jKQVk)`2N3A(uQ3?WVpL
zHqxk^Wi;i-1p3))ARV3yw7F9!+R&o|X%29r6Uz4V&d`oB{OswvixXw#xl-l6j`a9`
zXKFT)D0N&PD$X8EqpysjsW+yQ#j!;+%|D(Vq->zz38~bazmp&(hm@L*)86KMI-f;U
z@Zm0<sxG7JJF4l8b}gmYC~?|u4L-X>^vR!V%b9&_Img45)rb2CUVS(I>)A{6g%99L
zjYy6#AIIxXPG!R_b9wOMCA`34B`X}_cvru8&YT#}js4?z*7Fq{H+d27?>d7IP94J|
zy$14}_rZKm&7IGfnXz(#3Ri2rqRu84$tq<lr7WLF4WX_ypwkz*N;h3T5o9B;JQ%D9
z);A3v>v}WTr&d?e{N7&Le5jN3?nP&5(_b%Xu+Zo1UmHtZF0_)OW6FcaN96`PB&`m<
zN9}|AyxkKtHa)LU=fmkD#da5k!g`Uy>-1hlPRw;h$dZqWJ3H0oi;K+U^Q+wC!EXZP
zEsw)xS~fw>HeMq8e@Kvz%}bLXU(c4k{~edBg9_y8oZE8bpbGi@tS_>Lp%Mi@(58!P
zOsRF412uN{ri=ujwZg~NT{=N@zb~e92NLLTdKxty+(T<W=TdlF5e<%iKrLFYDZ}?S
z9owYF8>SlYpa5&WBCbi}{QzFGC6pVwj$q{rGx+w4l|1!AB73z?;|ky1{G@t6`(8cH
zF=O-iM&JeRaqkj;U3rOhALR4?{wKMVa#-@*$|ovUvDx$p?%K+MryBi72F9z2mZ!=7
zck-kSJtsgz)KSm~EQa?Re?n}6DqbC?gEt)8pzT$C40x@NaoYNrdsGi^>*`|0Y#ofN
z)580gHL>}L29EBoffj8vFukh=Cd(RFA(+A6?rLH05FN}COfHjudN|a>0MinTa9b-=
zytvH_zxfHBuA&`wT4IZODh_yPwiBA=wZ~BkS6rCb0e7f+;Nte482`=_yZU#;)y5sM
zae*fe8|s0F&I;ChiYsP(bH<iZ2mBIli~ccIXz5~xC1U>d`Jso+R@yi=P-qF`m2g(~
zdQceEK<MzdaJKzR2-sZ$8CM^G^2u8;bHY`4^+5q&r9!~T7r}YNc`z}}hc2n-;Kj9b
z@ajlDw20n0({Yzzgwti18!JOx)Kv()d=s8z-h)@aAH(1)WzeVPCH%Lq8rmNJ46BTO
zf>}uuBrIr!`TNyy;ZH4$7_EmNUmBu3tu4C!vBXY^wwR#egi+&MF?Op54o&h#6F)z!
zi1SB{(cSR)`5;tXDxv*Wz}>$9Ba_8{FH*ugeS)yd=m0#uyEA^#^1;{(qNDPnGoE+0
z#r-zs7<<hChx%({Rkku#`PIS5UGL%R!E$I!x(D;;5sX=u4>bkH!6Ils>`}`E$sir9
zho?gOJDXu_^hU6#+W^f;8{m<85_FB+2)45~gMLs7jLY8&{qJYM_hp&jQLqnE;}3)F
z<6Lmue-6Ia6++hCt8mly9`vj$h9~_h;i~Ni*f+lx?qLh8>!FGpt+jEphdyqfW{S`5
zTj7lU4%qxceD;}M_~A=uG!F^F9b<doVcWhqZSnx@WfXy{l!l|bb~Mh^8Huf4k3_ra
zBQZTW8b5X$jw>b)7W-pim@~8|KIzpB^Yp#(-WMk{u&}@rmAV+PrWMLrpTJ(@Dg2jz
z8T2)eKvR$HuqR_J-1VISGj~Nmt?1_c{nrytF0%)h$>y+RvJqUj*9X%cZ9rqGJ}h5h
z1e*=bpiIRYhB-UIx8WY}aAjvWln6q*?g#g+hC|cd2{5i{4m|Q&1&7<OhnwEXP@u?w
zer0>%_1a?)^7tH#y&=QbnRmhcaTzRasD@{sYT;a|5=QUS#NWmG_;Z#y>P)l8jG_+s
zVx;iZJ4+bi(-)O}Bk;Z9C=5OjgZoa48LeS4ZueV-wwvOy;?P>WK<m)q%sO-)vKDV_
zj>9gyV=>xsHd>U8#Yv6fXi*o4j*%{Shz-%38sU7=0~m4cAS4Z11y2eB;G9p3H19;Z
zq`X>1s?y88taRq3!j^*M+@%X;uP>Wqi{K1-QRHrU(#c)&;uYy~^@C)&_cGD5IA*!5
z{C<i&X2ek0WoUQV5xwNEQ*7i>O>N|Ny2|qL;hz;z`$`o3USCn@{?1dJI(tyj>BlaG
zM_iiXxc?@_zHjRlFXGlIjy+tf2vV$5RCP&I=(}%HEJ;pPd>FAq(LH6aVzSpUg<G$D
zMZXuUSfcqzG3NCv#oaYO6dw|m<@hLFc}l3cJZYh`yuH4YeDFt4*(PzAeErQ-`MdWj
zIZkwS%n8^bD`p>(FBzYghlJmh6Z%%j$GyMFOWLW>e-GM_+r4%a*TsVtcMhg5wFBu|
z#w7BLTu!6TB~fhL4vNS-OphmDr2W_KP|24{a#Q<F20PV7_ScB-y4dsYB5!V;)}8Mh
z7{acfCv#Z8<$U38B7eBLm0y)-v-<U;{KoMd`>ZVDn_aK-o<n!ISm{0oue!_CQ?B!O
z?*jJCI?CUlZ)NB;pB)DYo@>Wn6kRfhPMc{c$_sjdY2+oKuPqR=*9@N?aKpl=&iKwb
zNbI5lZcstgR1?pIe?eG1sT;0O@W&5nemLrgkLWz;h;8fz`)#8edh3gR)1ywPF~|XT
zwX(y4d~0-@YK70tEbzybwpbZsf?jGyxM7bzF80^Mu%|lsYrYoVw${L@&s1^qL1la+
zn3a|0El@G05f**>4XF=n!C3t}yvz6s?-M^m-SdyonDzlapL{PmTi?SJllP!H`aP6u
z2o|9JM|iv76O?*?fz3T?p#I=@I6mYjd<m_CLu(pgMx$WLMJQoFcV(OwBKj~!sw1z`
z#Gfa$ar~>+7-`rBpMU|zO)|m<u_jm*+ZK<HF~=r*OI)k4LREKb96ZTJFsE$M%+U_j
z_Xr*1ksZdJw?qB@cGz#LEw<TUgDD-Yaq<Q$+_uXCW2czm?M4$EH%u@d*X!e>?Yek)
zlQs@mq=8FEsp6TiR_LDj2O>)AphwgX*x2a{oLcxEbY0#+*^pOYr}6@tyOhJOx>DE(
zB~Wcr467GD1>aFmq2=~d@V{6LR~$;Ao#r#xFt!4WTwcO~s47qq-rke9?;*kO3q+NF
z2miaj;iPIaOq7)HpP343>8N9qz802<^MzT@Hh5-|A=a-k!TlL#_;80MHm<ZrLGi?d
z5(k{_<BTc&T|_Uho9IvNfSpgd<Bu^OXtCD=9j1Dq$9Z>*TH68JJat8%1MM;7k0UPo
z&knQ4TI1(<3%oYm6vMw6;Gbw+RLa%F8}%x9W!GOYS@|2HFA0w0)M|Ks@CCT8Edgue
zhj4J*Z8)*u8pI7E2x+_wGp7{*?z;#RcU*wbz84_p#05B4a1l;U7yjIZ%kUyYhQq2?
z;dK2CcscDZtcrXjdVWiwdGm8PefKr=nEe4p%>M>1PwK#P-CtPKT?JDoYTymgR~*sQ
z1{aPq#-WeJoB-{x<)9r_|8m09wr<$YQe=;cy#>$H4_~1_dOiujea{2&cvvtN8%sFL
zNy5l^!N|3N_}{(&JhZ9{+Nb*B>ncyIUg?UX1>eT*pB1v1DX#dchb`F}*dqF()dFi_
z<dABJvnqo-d<WJ|ks-H3KDe|y0dqnQK<d#f7}0$P9M#wc$G)V1@qb&OYuRS_R<Icc
zFW&+~bW*@gWbjfWw?kda4p=K?fwf5vge*A>jT1yyQSn&_yIBBf0aw7!;|@&8ej?8O
z&!KB$HFT`1fwNL0ywy_1;l~BnbG0tk#~WeZ33HtE%LYFTaK@~Y?&z)Ji!oih;_m<n
z*VOdHqAsDhw|)S&w2r`_p~G-muE<{fjKT=bXe@seiI@C`p;D*8_=m#qz{g&q+ad^q
z7Ieb=_HHP(wZVAtZ`kE(;K1|s@OM|0c;DTD2+jwi{2X|ek_t(S;=%L%G?=R~6i&PJ
zfGB-Gn77aks?{Cf<{WF-HP#9yCtAU$z1Hw)nmtsWY7ZveJz?b^Kj?TR7;dcS17~a_
zU|!B>c>8Y}Yz$ZeKRT>|iKmlb!Ra)x^xX|UZ~!`0<wBF?MOggjir9e@bJ>Fmh<or}
z^z{6OtGdd#<-8W!UNJx~4+|{%VUKgw-LZC*A3D4X#>n-3aFfGeJg|KPR-B%QlVB#U
z(^!ZOSC(Pht*i0-ym;IcwFckXt-(vj<1nOX1@4bti0{3o;oET|@w0arW~m2Ym+{Ux
z;kg06b8Le1p^w3*&oKzpOMrd*Lt&z>0qk8XOMN~^OV-Cu1b4DeDvGyKC<@n@%70wC
z$uZFb<!JXPIWj6z*6TJ<Hn`he-gd-WuCuk44|Ua&(-*u~7|pz_Q1VPuxUCzk_|>eU
z7}j-S(VTq~0tdD^5H#SpVQ@q0z+gw~gkUGD{lOEr$ib>tp9eqDY6yN3r7gA5GM6g5
zxk#<8{3V}a(S?>0E#)nrDIKa_E#*AjD9t~ZA^li*K>9vDPujGJrR641q!@>4Dd1JT
zbhAJm;x`(?u;n)3cgzD$bqWHf-~mwoc`O`{SqSQ1*Fknb8bsvpfiH_s!uD(hYzuh=
zk2k*o=d=d!zNmo<?TqnbvK@BR@xtQm61sO7h&wNjLl@yK2OnL7>hm|_*Pa>JT)7ve
znxm+#lZQtyUc`Nqi*U;_8Ltdg;J`_j&?xXU9zK+V&R0{gyWJwpeBBc>J@v8Eu6!6O
zW~>j1pA;XzOLV|`KOHVBqiBnN)EuG9LE)zClWNK9jI4RuQEUFy+>Q@zvSMAqsOWOn
zjGuot6+M<F94301eUBS*Qn}cti!|V6jt1Pms{#K_HsFVLhFtc}kef=4_}xci?%39p
zM-OYu%6rWC(g$-6?qJFDM_ci{*mk^Uu{9SAu;Jzg8+M&z%NI}D^2bxQTs>Rp7N12&
zvAqrZ7+Ukk%T_$b(UO(I#O|Bm4&{F{<~>Uc+46ZCzGb7!55l$i&;kvv$`Cp7E3No)
zOAGB0*{IO;pHy31LmG2Gk;TGyRPymZQZ9W(`+{GRTKnhpFQuH+S3DE`QyDE0*WnUA
zBX#F;I=8xl^7_A^%*0B%@BW&m`&HAFtoO8L%x97oeWUW{KdEa{1HFtDJfDbG?4_d0
z=WnU=yggdHAigz6%n)bz;i8Km(1a(OnDGeF@iA&mJ8sah<)|_CJbASve;DV?C!5;y
z9dzZJo^D)oN$hru99mGS8@m^~@`(K|{QR#o*M4y1t}*tUwZew`3og;-eP+DqhB0U5
z>+`Xdt@)j|Cd;o>_>k8>@!9IA^}QMz<^G=hb;S-|Tsh6icuK#cAJBoPx2d)I4f^_1
z?5t%H&1q3kXF~<0mK2fLN~O;OWSUh^q~7T&HMCr(+XHS>FWdXHZpLG(_9&%qqn}g1
zrYg#4dPgDAUumAvFUqrNrXSr}af6l`5BaUhmm6BMm7W2w5Uj#4gUor-Y_X5H+>UR|
za^hxxSAKKfoi%K{*s+~2&$;NwU#q%sX+l?Sw>yBF+jQg9@&Hb%>B@>e{(R%DA1@XA
z1Nh66gBH7S$FWZAcGZUeT`=bbQARxIT5IlSs?Me5f2rY?=+5?hOE<fe)3??SsQvw`
zq?}Sf<0j>i%CO@!bmBppy?HM=-N_^){av(o@D6&jCWEGJ&!Cq}cF=O$U9@UdCJj#7
zLzg@6r!UJ6(}KY#$nV@4!psYFQe8n)zF(u?!|sv4e=&7TdqIcCi!Az~8d^D`fgT5m
z{n*v&eB*}>`)o2`&Ax5<nN2(HukOG<zqzp515fUi+=*Y?1n~T+5?e&{<Rb3FOLl}Y
zUJB=%YJ+*>*a+@&GJ>tj2J@3!1G!>xe{TD_4{Pf5-~{zRuC4LqlONr<!qJW=mzeVI
zPOUj`MJo<}{FMSC%jwOR>vZ+SS?V}pKRr6KjV4@MPrsHdr7EMzw8$@#_8$$SV(*?*
zvLTp0Oz%ejwg!;Xm2PBzIhfWA=s_0!`;x`hf%Hx}it^TtrzY*0RI`2wO<fjG9vwDN
z;*b=IZpxq%+r8v>{|GHq%OmYag|yZ825smp?h(;7eBS#bo%a!JvLCHj%U+9rAJ*s7
ztIYUGjxE<~xUxr%H%E>Q;57Fhoc6gN+b$o%r_PUL@0k->nm(Ni7R}|q0~hhri%Z#g
z<}yzATE>d|OIXcn0jH|Y<ogK|_<iAU-teq1_i+#4Y1XdXPWbz2_f+|v&09))!PMsP
zUK-aSo<`s3PqSUE>0Q)k*(K_Te9~}|Y_Z)yuCY0+_>*U=Xjsv=$ZK*<H;eh_0x3SG
z+x}<mixgB=bV?;iF=qcJg<X+C;V<^uB08DK_d>jdciLapeLYQf@>na6^4Kb8#pTE>
z<;lkJSLD=~r}A*Uw{riidbuuBjZ)P0$<@x1E~&JqlpDS@Z4J_fp#$lD)L6Q6a<1qe
zil^3-H&KAt>sCzKPZpz3)5sYLdU4=Bm0DI(RkdKCZD_^U%5`|-CsV$!uxF299l6W#
zKvtXy<^P66iQSng{PfLYZj-l$od$2@gzPllH+&}-dhg*!CHq;g`VdcVILvux4vD?$
z9KKMto2|a3va8uT-UrjgpMBWJ+Md7G{H6<Mj!<ZnL}TNo%L9$ZOCwFpA>?EXj0#8v
zE5E~VC+<AVo=PxYbchbSe+veL--g&(w;({|!`vQTgW~Ed;NOqoye~lz%TS<0P-4$u
zrhgT(o?VCVmAB!!(gPSd`l;wcEr;-|D(JoF14NnsfL^Pcpm>ln4k^+=T%n7q8;x*X
zr8ySQw8bax?eTtVPjvdz32WbW!;5FSqj!(KD8&jMvhPqF77~rUlSbo+r{nPR?+MuY
z)<i6Gn20SO$Kh(#(KvEyB;FUjs5L%)aQLGj-013qx^YhE>u82wVzjX=s1c?HRf5g<
zYw+0Z1Qa%Hhu&@D;oiV;ptGn4XeYUW_7GEezFHk#ME;gyimRoDj0$P_gAyt8Oo^1b
zrCd_ns*(;?e3G(;)=N>}m0_)=4m21V!=mf$;JJ$n_;&S$s`_9kp4JaO?v8}e9WhWl
zd!b-h$3xKHBq;g16;u~yLG_-)@H93Lx*IBB#=JYAeYgxh7QBU-7k)vLxIRf&wDD=K
z5tbUX!=)dcv8aPLKDyHlHP411-5!J;zKq0<HIs4l&UqMgVmWGjjmO-#33#JT64rIu
zgw}4GG3neU{CzwL-M=T`>p5}gHgN%N%N~y-8vA3QP8ZyeVvS~_gqFAc8MyU70+DMM
z!8~;*Fjp&-PA^lI#(Qj5915K*$7Y?8PtSiP-`Vj`{vD)Er+xM5LcSrX9W$her~0((
zi7r{XiM$x9li3tyntHKCo|IlM-#Ae#m$`kDJ9&SVPn3L-mpIqRuibyh6TbbHW9I*n
z2aHjs)-yCHeWEUDh8t67Un_cJ;Y1${I#Q%_0A)-Gp}C(U$o1NITB$vsB4>!*T&GR+
znbIk3Kn{gfout)?m&qjhE*VaFPR7^2(DwL$^tVilPo6O5@7-;=YL`2|IMtQw7WHPM
zmqR)K+C<UMy+ANn;`nW^4SZm03a5|E;8l@XT;`j@?@|x)BmKkN6n;psbaS}VolM@c
ze=9eptmoAS=d!9C&N-Le_=%Tz2Bj2|+Kh?x>vy57f9Fc@?dJ_rE%%2W=?M_mEgM3b
zPQqy80?@ol5Nm%8&b7Y|53;U7efz8MtrtUVlnhUg7s1hamm#LO5Q;t*!p1w7!Fss@
z>I9m>dDb-;ns*D9J-H7P?>z;ztP0o<|3P`)Cy1~439E&M;XgzbZFRJ<!bBe@%``<l
zt#+ta>42`U+_29dZ#1^=iaWXjHns1KeINA4C0e3mI4=sr_l(9{IpguumPu&Sc`~k_
zIT^RKiNU*n$78L_Xxz48I7YaKqpxQ#q@u2P!`uURY_Y*M^Mu}Pt%CD~HsKZXKyc;H
zf%U9R=yxdr4(d;at{-|q@o!gHqiqC5rApxT>8*7B{bOld!8PejY>~8gfVj727fJIx
zuS&|l?n(yT%cR$5s-?ZPKc&10$`Bu~1C6~+z%17WE}nLSbHh4=`{C~JCN~_;Egc0`
zRx{w)k!5hhA^{4&Y=N|4JHT*Kj?j>EA^*Tdi1>aDbWEN=gSF5F{%7b+!*c4PFdPk<
zP)P%o%8-;KA{x$GNhu_Ss1OnvO2#OaG*A+WGBha^GFC{vXD#z*DufJ~$C5HD%6ESG
z)#bX*b>4mUUi*3OTfZ4R)&D`|zb^QsO#>gV?uEw7`r*{)R=8Zct3UqH1t<A=q2EV;
z^jxw4-<2#!<E87-@7PAn*W85e$5K$&Q|f`7O~cYNY4}5LD^4j(mOLd1IPypoE`78J
z|2&Y^rO{3}<%;A-^;gBCx1K}Bj-ya*z81u;rttpdVWFl=zS9ktE~5S8-D0EXQ&HiJ
z63uPaCCz?)DL%uT3<E7GI@VI+C=a4-Z_P+Es2^QBWlWdM3@Kfq7Y$mcOLLD(S)5XB
zsyd)efhj#{WvDI<n<{0%U5rQ{`%>j3bDFT)np)4>QNFn|>0X~eo`<K?`bYE0I%Fjk
zkBB3!j%3o!%pmpdxn#HUFde=xbxxcwk=o6>v^@3|b(a{hdn883lU?e3zl$!14lw1$
z=E2MXqj}(LHx7|_>|ZX<<sna&@sy@$)|#HkTVHSCelOE`aQ7_s?7NS}n>jrEY%b^R
z%;7tI_VTj+J9%CD7CsuWf!oX%a(tdUPgyaL-~3SIR->zQ(;|W7N;GKYG%c~AcDA57
zNdcn20}L1$2K`oVf;LSl-w?4EYVvYnb#OjpZp??G?Rik6mJ1c$*>Lg1Ug$P!4-ARl
z4O4J8d_KGz>Z<pELB&4sS(Xdue(nbauS3u|`Y5QzodUO+=irqFgJ#Zupr~{YuDI93
zmyi!IEBHG+%#mCm(yZ!Bc{el(kg`LwjW9~et0+z%f`_c_Fv3#0j~?oQk}Cj<Zu_HZ
zk09K5W-&I$F2^-i5ojA3g{O>T(Ccvw?h1)UM`>=nf5J-C3tx;OI)TX2Y~ACSGd6e*
zMODfBSh`0I>#JIzZNv?Dx9boj9ZH1cw#o4Iy&-5^c_sWfl_ktSJ4$E{JL^=r?}THy
z>9eZHUE#7`iP^Fo(<3s&u!AzQ^c}L~o=ap2%S~kFrI}TQ$2U2+JHB;1E1Tx@QYFU;
zp4T`Xy4y*J8qiy~vU0d^qjsXOdEo-Vt|V5t*OV#*Y~L#clobn8)}9r1bzBu37S;*F
zpL`VNME@0n9hIS}T?=kz8bNGd3+Q{^4tB0{gX|bz=+>|hUOtJ00*6iDy>bV*7E2!A
zmZR_?@I1`cxB*>sp2ECMpJ9<xC-jh4$D%#bd{J_S?4LXo6G8>-Gu0Dswn)xu<4`m&
zi^d~mNjT|88ZLQ}iJyk#qQlk$XpnUngP)h+f|g_G<5z;8D~j;;%{<Iny%W>w60xRO
z>P#AqL90u8IN0zB4E&l1(_LN(1Iub<|DI`*+Ts=D^fH%<=2nvG_8O_5QcoklzolFM
zKGKO%jkI7_11Z*hpurjMXtKR@FWX0ApGCc(qIJ({+wkXPasD}N*L_KD6JHbizoTfO
zfvP1|`;5@<6jIzq>bK<h;2s6`KBLSg23^^OHTg}p4u3z?oB!T3=1<xK_@loC56rUW
znsQri**}`Mj1~A=!WbUm?#4bVJ=msk0{f?X@{>uEI9h!Y4=S6;V;sh_{9ZTCz3a>-
zO%8mw-IldYthgw$KhGE?ITcd0_->&xXRm6fn;jo11Rqjv>Sb#0S4PI84pMYu7TJ5I
z($)DJNnzS*$>A76X-%_8ZI>^FJ@O`tNH3`+;6>kCCR2;wR9ZIKkF<^jQoYwgGByq;
zBjre%*d8b4a5s^2SQ_=5zl&}>%BEM<2k5=WF&Z@K3@v|2RHAf)_FcSBYYbjeoOTms
zm$cHe74ket%KqKY(quJ#ea?7f%rk2S^3P^#)-aR4!?Te!W8FD%!DRm0GM$6J%;r;e
z!EBhmnD<`}<NtOqXNw0bc(3aUu9q$2(?(19^VIpQurPp6hfZdby)N9%b_6$O4&Y~l
zb=WpUk*n8!B#%M=(boLK^eAF06*?`V_>+z_I#!o>ShJ|V=)8DBmM*#uT`0~<b`am_
z8;i%1G{i1NYU0;T-NnL)Ug8HO3sGJkM87rD#Rml|#8;7<#CwWa;*p6(q7R%CCp^3^
z?$xOmRn=O=>2EsGi{a{2tt74COH3&-!iw&oJ=s1VN6{g^^sOzJJdUrSnmh4i6S<WR
zyw0N3-i0I%J3&5<RW#rI230M5O#Vk2=zgESG$y1AI|plWKNSP+G}(+V+YRHEGJ*Ba
zOkg`xKd!jDfR|>j;*nV!IB&ovE*ra*|5WT?yD?eZv12c1%*y7ZDcSsE@LryGau>%`
zrtzT(QddB270W_qaB9wI?sHF{i;uL>>MzG=det2Ioc2;Y`^`@lGIfh^I71b>PXYMy
zcp>!p7Y9jCwt!+=IvjP}1yh!0LcMh+G)niG1<@HW=~g-jupQQ`Yy(}-G-w-`2HquU
z5dC2r9DJP)t%W<`sP%3*zd0MCPVI*-B}K44@;F!<pMjIvB3$`-4P346!AsX?5+}X^
z0{Z@fQ7b#+m#Zo`Iaw2%%k}Y_t0}Irw!jDThvSD@DMJ_Rh6aDV(0I8YTJM{O<6M{E
z+~F&+)ie@~f?`o;ahx=R-iQa+Zp3S&;?T?^2J0lgM`_j)d^vD7_H&zr<EJ>HO0_w{
zgq|3^L=HdZK7_tKPe9GE6v&M50eycxn67(6h#J2{NWOo`>4Tn8RqKi~vX(3zai*G+
z=oB?otket?$L<ak2gJ+}{ccYXWws9DLJf0qbC|Xm=-we)oq12DRa7inrny1pJbSn-
z>|$+|<Tb9+aQfmfZFGg>dL@0QpEJFkuH27zlA~OwV!H~b;ah5*s=G8hCH++pzCF+q
zLPwhj6`s~YfCC8MEhh`P<L3!Mmsbl9-XsXK#%>q-=4J~&yB!g}oIWR9IR2j?Z}vn;
z$Irs*ot<EuN>>=ROJACmn}J`Llok8y3gi0C0L$)6q5sMaU@qM`pV+<!!haUQp>t>9
z{_p=F;O<j+9rOi8y_d(`(jM}OyCHg~T42qa(U|8s9)E}dc-SNi2M*YP+$ja!e`nyz
z+d1ewq6lkmp1>IWv#6U^g*n>@6W0;0I$0@YKufVgD8j*BnYeR&9Okt8V7qo795DNi
zbk6hyYr}y~eH%@v-@hzcKKw4ZPHZRJ-(A_Hj~;&?X~a)FOxSF+DW_JN@U>aStg_jN
zPbC=e`=nm%a#D}ubaYu$>Zjg0ug%>$Y4i8A9=u~-58f-Wv!2Q%*7Znje)~|Hw`KO^
z7>NybV2Up5IP0<Q5Pcq~-HWvvdhw6q-t0TkfNgIZNW6MOHt{j!A)bc(O52dn6dG`^
zzrA_6#QPp1*Nbl))8p&X+@UPICo6C5!G;?(C0=xQF4XACYG+jW&SZ&k|3Q&$Hp=tQ
zft`5Ng?6e8YNhLAe^B_cFEsOW6J5R9K+EJm(BXq`X@1#ja<h3wSBzegd*lmpb$dZ`
zH@u)UvzIh*<SSAsc};l<Z>gj5J-za5AlZl}Iv3VLN56j~L;6J{ZvLT}Dsmj@+L<5i
zR^aXblz8b16@J#D#=n+#<B;zf92?ey`#<Z+FGuO|yU1Q_kZmAw-KF{KY>E3Vu{A?n
z`$}y5eypO`pW8R}=YRYAbN9LZIqYITzH_-RM}?U3q7%mKn`6Wmr8(qli9;H@U59VX
z?ZHM$8hkQIo!!4H^V{i)93;(P7p?nCy$}B&AM<9iSNll8fv@SP<W(`*{fGu^yDxE&
z?$T?oYD(#IOJbehAi1pT^wmM~!bDuBYL^?Nl5>-Sqi@sP7c~?jyGI|j9+Gd}W3rGk
zOLe)gscP2;>iVIHPN#mO;Tu{d7R5h`?<KMRmn(7Kmnz&C*p(X_H8?y{o4Y9M@#4+B
zIq|0vFCS~l@r(QOteFE@v%3YmuN=&qVux_3*--8}(}pMM4C7hu!&vvT4M%lIY?C$C
zoZxH43-(*^N9k|!cJ$*lUdFt*Q1Y}(>>HS+$v-};ahJtPZ1GW!Q#*cA^2Sf3llY2y
zNwZ|_=o)&q{~DbyV9H58PelRcbg9=VnsVV7eV%xfx|JWM$}h!a`m30_N!-opBaV_y
zz%iQN?<B2BETyV-XDP6)lBWD)a*n@Bi{ful<ez&K^!72CI7y7PP7U;A&{uj<+D17y
zJF)pfC5i7O<qNw=ocDj)Y@ytX*Xs7+Bc}bh)xezZ{2I)6_S^7%$pO=|k3BEEDmj=w
zBg;p-u)=Jq4;AUg{n?E(4Bgl_ek`wVa^|kS0^hzonybdz^3Vn=PQE31bTo`PuTGa&
zPU_A|c}iT`@Q2jCG>~4-V=@|cgZ_J4Nu!=0r&socWU0P~3a4(TOzmWP<`_@QH^h*o
z=31K8zLE~=NauK~74%Ve6?q?ypl7t6?ij|=!+#01F*2EkZ%U(>K0B$^LGl3C=TmT}
zV)8k3g6e9{(wP`0?egnnvbvUT@H6t=^N~9KeWyx^J4$6rY&yIv2RBRa{Y#0PD`(2=
zY|c&6-fPL1k$hx?z>1Sxd8ffd9=hI#b3A6SrvEHfjGN0z+vjtW{{mJiU%(gE2J@dy
z^EkO?7ORe*&c^ay+@S5sw#P=ZcULQ37H!Pg(yaf%H+df7-$+)ct7&F@nbhmarlY<|
zbm!3mTHxYJznaXctw@Vv2gs3P=QrY_E!E<N4i;C2R)|Ocoe}juo)c>#M6tN%HF2zP
zPt;3&Ayyr27Tbo%k)5LoJ#5yZ6<|o)1`nhQ6~pLrvp@&yCQ!~sKeFi@LR}U{knj9>
zI%b?oUdwlp+JZb%S3g3hL(6IUz6+$VznXNn)YGH+pXj~aUlJ0Pc+&Fj9PvVr&)+iT
z=wX97SILg&ju^wvQqHhwtRH7Rl^9SC;auH6iZ>3}$ciONd|_n@?{?eD9iP(pkL5NV
zS-X`VolW6pF_EJ$$MCe^P+m|ugO~X_^OGL~dC;0}T%P`(z8yME+pfh?>1s<_7k^%?
zRk<hY)%}xG>$wae-uAJu@3Rv8H&`F;Soa5ACrdaMH3VKY4T1E<Rv;Ez!1qxDAw8`h
z_$!#egQtctWkPR=jnId%C_TxQrw6^g^<nDh-mrO)5qvW<mE4YIaBb#bu*@G0mz5o1
zeYPtMUNjl1BWJ?imy5u#WGxs-PPc8ZQ^9zDCa5~^hj1xpHFS0b<g{G{^V1LDQ|3G9
zcIFqX>!yhLAG_h@FnxTO*AJT`tWl%c0ZYHRW6v;ObQI>}2ip}mC?ys%-IH+D!Bh-i
zxC0v}WTB19KGdC<gXULrq#$cHUKzO?^Dm}Loruktv@Z(3OrL|Zvz*a1)&!Sb=>T6m
z57*mQ0gaY}rwSLGbT`C`zv`7GSGF_VtyoI?_9jx1|8^SOCyUZ*_tM^p*(C3fO&5pm
zquT|0sHQ24glU=NqP2_c+;`GZ-JR65eJ5#O*+r+SvZ!CoUdrm0OZA}z^eexJwiX|w
zkrEGSuR|4Wym6Us+Ex>;e?)!-Z|Hqd3+1G?)73+YZ1+Q*mrDHNLzfIV!>&Ic`!kq#
zbd2C}5=tvF)Sa*G_h#)vf7Tis#Ojlmu)&rU+;n;^3mc-j-~Cw0p|pXQ{*L8Q+oSnU
zb_BnXU&b}pgLsm@FTb~SW4{DjKAd36{jPN5wG}_e^89VG%`B!NgObQ)h!>Tm>XT*0
zeR0vrByr9%O;N7WUZ!!j&aw1-u9Mx=w@%JEN<#0fZh~_Eu0lzKg5dGwlT)eoe@<qa
zc}@Xq7dXWls5w2oIoxqpr!iIH#jdis9wD;gw0v1W@hzE4&sJHIqL$b@#7s1J?jXM0
z=`DJT3q^-*G2+kM6tS~HmIzu0#FmezMDYlVzt-LnWf89=_waY|`eX(AqS>9k$$HU~
za5LIB)|SB6g*2{Ap~}<2w8mu}ZK_V9b*p!f#^5|!t9pz+4yd9jdv8%k>~pCT`<22v
zDe&mv?tJigZ%%nVP+}sD<O`~<eCyLx{<%Gv57e&Vo3eQRoSVwte!IB*NDik<X|v;J
zk8(uLN$EFP%CFCs^1ja}x$f8z9&#?9s}(a?tu~HL=Fa4hx7Iwsy)&ObaEP{)8Ijzq
za)&8>)xqaSG$hv_g<ajM;l`TxQ1#z0h<PT5(^ksk$Z1k0Nm~Kun8@Sfd!6uvv`4nL
z?SQJke?T#y4Mv2u!d}-_xbv|UO#S`<X0*eladNn*UuWFrtAJmgC}I9#71XIz$NtJ1
z*p|=(yIAVt=jL7*dc_DQ7nowe+5zY>dJxt;7>q}qhT@ID;TUBx605e1!kp#yc>ab1
z-cE8vpDahT{o;V}o9)pkU=+G79DzosZ1APCmDH^^#{+Bn;t5wnTzygpJ3Z)*FYhVi
z_v?}?uk;6WIDCMrc~8J*YBij)y#!y3D?o41NthT=3@PXLL&?}|*z+w5R#fbS@+~{S
z#XlX~bkd=*BprTfWx%MByWmdO-7qI*9~d9ZgSx2);K7c=aNX|&<Q^=CaVx7Ji7&y4
zEjJ;kwiY}x>p{Ht4kX_ROgr8NJ_VgIrLQuo)^^3g$9v$p5`Elvr4JT;?vK;-EHQ1E
z4aN+%!>ATVR16w}Z<dV1=%xwM{Ll+8J@CP<QdcI+z!zhB`l3tCR4f|pgDX8Iq5eO2
z{5W?EUQ4k@<GnVhTs07P4=}=*9@2BZ*ac61{0%WTUct8Ax1j#yIcZ%x1Z59*fu7?g
zP;^)WJ-^I>wd=g#a-lOUva*A%x2&O)ttChg2coP7LDg_e5SoX8#UNX#J7*6E){TK|
zuL<yBz%;OI4uq$9OCZH=E#&!cgpb>jL0X+92c^`TF)aY?prcSVsvPQ$5RATX117~k
zgmb@N!^?hOAY7Wi&a6|ye@WeNV!95hd^M7?K~f$$)f$aTMj?E3MqM+BsW5gbwj0dC
zj`hJf(k2vV{#}VvcCSPE3(=^M8H;Cc#G;27gK8@x5z|+qy7po$P@9cP6934244@iX
zN%@=Jn3mK9^*+1@)vpWzra6!vxei9;3Gm+(b*R|OLSFI;p)N^I$Vo7A`aS1PmFvK5
zGK{}2^IrH-wsOo@S!Ml4+3iWSvOuLWS^BN5GGlg=o%{5#$~t0VrC-<~NA0D<oklw)
zJM9<GIq9GH;1rjxCWIU`6-r7+2^DX>gqsT%3Xey`3V(NP5zNAO3kO~w6fC-x39mIT
z32B<O!r7s3h4)#%gr8>=K_^@Teswbdzr#|0Y32y18aozhVy8mgkOiQ+dL1NICP9?-
z4j6be7e0(Fk>=W!kT&!tRGhAd1j!HiPI}j}E=Z1InLeJ_Hvn<=aD32d3~r9_Ml6|&
z9JK=TX2jtXg%q5+bqA)M+lzU21vvLuF@8IC3_D*uiJGCOaJ1bClsx8WP@0b|8avUU
za{_vG4nn;>qtNrLI<A!$A=KFmqK1qS>V}t#2V=eHlz%4Gt~gHt;(hYI@t)f4ztNVw
zR$4aWFXg5FmE7ikDCXU7QuO>u*;l?1?*2mSe>YRTVl$0=AaRseHq+U6E%bHJH%f5)
zNqcqM$mfLA?e6HrLs}JhCMt7FwVLGh>n^Q>JtVfCE^8SZutt(G5Bb%P2hBC-X=exX
z-VZ}L=7lYLY#GIl4;}c!5rOl+BkS%P!(F$!@Sw9U{6f`*1J*h7s(%8n%W~j)cRSu~
zG>qK_4(8hE0sKhl!&_3Nd3S1eE)VX){u?^TFzz!M^?Xiq*3{6oCl|<cQ8_g_9ihs_
z60`Mp7Dd0_PHUyRsPiYJd-oObwAeq6#&~a_q%j*vu6G>WxxA4+*d&sZ&t_`XPo?mv
z?PMtJ(^h`pOI02D^f<MM)bozhiQ#9ceY_|=i>uV2c!#zgeoQ0pzoF9!%~UAyc9QJm
zxpA@z=N{<J1FUqo=Nki-RrQtD{XuMAG?a&B+HuQ#f%DqNa>d9AtoU~_e=_xDqXd7B
zYn{a@)8=r?in;us<y`(UCy+D$2Jqz;U(OXKvsUXk&T|mhaMW-fY%!3x`blSE$;**^
zLXK;`z9Y@mw`k(xGHM?sF@OiBkm0B0lsIV$jo2`n>ZbLl^3B@xRqR5C%-h9X!WXge
zTZ8Bu|51z)K8g05zKXpc{t?I5%hP~HReIc_MZ@m(mi8n4>HdcyRHbT9H{Q6?{zxDC
z_%M*l6vL>!M>O?NO`_{t(x`A>7Lm(-I<)O5>2Enhx12AMIaSlUZuNA~u923EZKHLD
ziu@zBE3cJ!*L1xPJEWSk=ZRtL-_MDw?~P*>iSILZ(JapDSjhTjD>x`WihZ}mvA0<w
zm%iJ?;n~St-7AF)h9<L6nZ$K@8~OT?NWOMs2`9bw<G8u59QSevtLp1<x#XmyGu71m
zG@q^&hLWDDDg82&i7pC~_c2)6$$QL5;ZR40Fu_d}{#<@4EE1cA&pvH}%F+(uXlc6;
zv!hiIhkX+sBsK~#;k8h!_e7|kc~6)Tc2n?7z9Ni&#KNx#nUEh@DcFBHFWjxE6gFFm
z!mv&kg*{%^gm}YhA#%w>A>8Gq;CTF#@b6r!P%&BodPk~5^x>Wm{ICz~)RJcOVIv`<
z^H^wj;{)Z^LC{xzHFQ+PL(Qx-i1@h&wr3rJGc(Fy(xgi;B&`-qhr9#9r4>3_lrUOd
z3oF_Tahq%qPMT(iJu6)CzeiK?<evGsuXYvAFx!Z#vr<q9*nwrQ_MmlPKJFiT2tUm}
zf=@P<;5#Tm)ggy5?oR=ZU$Y1297sinlt?T%ISpZi6)uuyOm?BCVVj&Q#I{Zl-l^}A
ze7ttl$v=s<t}3E$hlz6L+@UzFr*yyXE1G!k4gF{Nme#4fAvx_=RCoJ1E!bO6x%7l?
zEPG4~Za<<w&5y|Z^<$Dh{*-DYAJ~isujqx8hq~hPiGE4$7V{s!sa0Z2JR7CJUOSaJ
zL-PK0Hr3*L&bpFI!hnw`nR4MaGhS&Tc_|J_jL+_N{2LuP&CHpd4!H7`91lMEV<J!A
z;>GDM-mKi&hi4w~=5mY4?77mD|E%}mNRP3+_^lJ43L42iAFMcWcYp3D&6n0q)Z}7O
ziI0Z=rkl@Rla6@}9Vo1#QyE8T-k@yy5T8b8PHiN|1uLlZ=Uk!>Q^`Yd0!>sOOCu_P
zqHZ|RynjyArjNAbtqZY@2MvDgMJnf~OY@I8H2vCQ`gw0P87$sFx8Ej_@8hj>)?*h1
zj?ST%B?sy7;p0-i=^O=4m)K%GZ_|&Jk0fryTUulBm40vfN5%gs@x{K~IJ~+iYhE?v
z(VYjd%_=LNt}&8RMS-(I#&K@57nfPi;QSwf+@QCRy=I5<b!o3ZbnY51%w5aWWgVx@
zi(t*9mE3t+C@;M>pO<|0<M6K&Ia*)f_hiLMGYt81pc>ns_)0Mm)g)^zp|zj3l4I$7
za+Z2`*AA)BRn42?s$S`0%ZqX1+tc!5PIG}QDtC;m>CES<TVAKCh5}VVyn^fr3$oB*
ziLzBnr)Ac;Z)C0y)WymB28!z@jupR^%@r5UiWT#Zr-{zfaz&Rp$HnZoqByL*MpU@+
zN=%#cLma+NfqviZMg}$d^gF3Pjn=ZEuSrriQr?sN@@LYS=up})GnRJSC)3x44BEe5
z>N+ZwP)Sw={c!t_9+^F&!0`<<^U_}$C(ZrrTebMjOe4M?Gl<{&jbxj*E__$rhr5)|
z;frUNv5M3W%MMNAi$}Ne@35UbV#Quw6r9K7TMAg|)B(xia)7ri-p}KtoI$cn1~)(3
z#EWuQNoRto+{<_<yGUNm8zXPfgc)(PPX4bL`}Jm3m-(WQ6Fm%KwycsmI6Gikf#it2
zbP`-AoP*`QRj{RA2JXjXV7a_X;ys;*#s8gy0h(vwtE?R6|1E=i@5%tv%i)sRS@83(
z0KbGP*qp-fap@Isx3~$1_$~xlJqF*<S0KqiKyUgFsQvX1{vB4tm!)d>sfQMRB|Us{
zst-Co8-UHjtuXU|Ejsj;IuubZIHY7edMA71=cefxRx%6s@0o{};uoOe=tY>dc`<_P
zV)Sqi!Mm&GqhjT3)G?TjtBO3aC2<V;wT!?WR_6F6s~3(>Q^ScLenY@SDbL*|gAK8T
z@XKop+zej|zL(wL_DM7NuG1AhO>GvIb-gX@m|G^q_!J7Z&vpyr)OQN?ZPKjad6tl(
znkR(4FBUrflnMLaT@)+=?g_#D-v}oRehM`^6<}FmH!!u=hb^=FfnRTH$d7b@+1uQq
z#}Z!%?i&oRZmt4<*a&F31=7y!1nZVu2zw)OqV|`=*-;l^$(b4mHGd9f`#!_CUjIOD
znzFPn)kI-SZ#?j`KMJp{v6rg@cI!G0LyV^2GT%Uan!E&qV<OP?*9L6DB#io;f)SU~
za8q(RHgxPjt+zXHtztUP8@?5XOy7h7VX>GvXes6>Ps3Pq2YerDjNcx~<KhpuAw4t;
zmOUL08X2#IE263}@L-#4Ttl(AvU7)c=(G{7kF}-xPcF11+>>T4@FDMxDRkX#3h6XW
zrnlETX~4Ac6eu^2-s+E~>=(}D9EYS}jI`$tQuU!RlzGgRE`Ii)fG{sAAK^=G<7bm+
z=|b{cw}OHW#n6R<M4B*sE4ifZq8(>)NwKP!1{9T&W<1fLfLnCg{t2BN+(0?@ZFIa`
z^25LG#={QkvDqI}?p{BblW-LK>W!7y(UUo&d?wEvwun16uVx?n4ZQVUA`h)kVKUyv
z4S_rORKQNYb$2JbCT8#im+gGBA%!)=;`!c{Rjl!27XR)xmfOBc+^9op{50+<P0TK!
zv2Ow>{#2`Y>|S5->D*=~xx(YZwKa;Ms51}_TOfS$@`hzSXM$0~TzIcNAM}m}!R=jh
zA%5Fz7-baz#&4#BquMms`pyS(4tYc9a&Nd8=mW3gr$Tk(bkNG32}2LggPJajA^rLa
zxb$N^G+m2_c~eqAyC5CP&hLT82MXYINC`aCI15t?FG3fq8rXiO9)7uh0=1?;;OC=+
zogKTQ>S;anIc18@!w2J4>6|ER9fL!iCSkLoKbk2lz}U*=IA19mdwIm;cE!!8);Sg1
zmA2uBy6qV5kdE8iw&BIMsaW%T6YhR4y<3gp=$0RVAuC<*r{y3#EM*%?d%c6~2`Avq
zqDZj!?*k`d_6c6cHJt9ogV;Iiym<Gg9L;FzMG6LkiJI-`k|@x4a;Bw!ok?ygQe~VI
z+4QofjBO*S0ESaw*if3}HAI@#TakX*VDedDMS+8@>5axPGSnYQT_-qD=y7KXb@w2_
z#D@}vnN)IYA@zz}Ma7RckYed((wvq~ZrAscj=@0^eNWPW<SN=i*J*_EBl^Ac1MP1A
zO-X@@EPLLK<vaA)u%fTTc^bmwzK!O?)1<z*$rSb&HiySa-zU!{k*u#0&(r>H=0N{6
zKK)V3Z_Uf(d2zdW!Qb87d21F2cVuveSsLqhB(naHwX8BTkT<)yu-@zbTpOswyFT6`
zxzz2nYuqq;RgfbtoB!O=;d!<ot5t@LCu|{9-WQIigu-O)Xz(xI2v<HNfbWV#m{*qo
zZCm0Y^K%@8xNd-e-7#?1cRjpTiUO*Q1oKx>;O-g&M>cJMIcD*&ZetSo<fXv3*liFh
z@w?3T>;w771+e(j5t#j;6sBd%z`*T4NPkodv;AH|?CsCMquN1rk`e~4?}n%Q>*As@
z##npX9A{Pz!=gWqn6Y{sT5I@VNx@8<C%+ICeutwaM55!h4QTI?fX=^@Fn#}Ke4w9<
zZZ?~7)zw6drZ|inxDG$<UW`Ar{cyITD_-vyg89<>SoK~GjihhF;KK)CMeG`gery4=
zdfyZL*1HIK+l?K6TdIktRz-_1z7>nTe_a**Bc6yVDepw@?v3Kzq6Tq9<vTGZ{Dr7>
zu1>V}t`Xndxhg&^7R79<vtp2xEqrTyRNR06kQi~RP|VOO5Z@K=7klq45Qo<u5N`w*
zi@Fmff5N6x(b2F{yr*$lT)CuL^m2G2DsTHBepvTQR997?h4x)(%p6_XnrcePwN~^}
zdgsn}A5V|${HfsG5;8E1rL#wpX`#(7D!aU&ydqD~vk;Mv6jjscNiV5j<#+Oz`UD}@
zx=Svl-t2l|AnR=#A?4V|G9I78ryd9Kj-9JGZ^}k?e4E0zJu-Or*nRw8VgcKoDCX*^
z$JnmZNlvvp$&s6m@zw1`?4X~^4|UV|)zuBGCAk&~)rRr&Y$a}-R7xS2o#<$5H}ROw
zRiX086mU$)gtSf-P$gxO78$;Q1J6IhkLvHBCv~ikP5uR=U;TiP!f$ZM@C%rp_zZ*h
ze}X;z8sVdF0|a?Bzy$q95YBu8`9aNaf9Y445%m-7C;ownizS{<qC8Ihs)XAPsbWP=
zH(XY&h4ZX+arl|uIBB{u{--2;qe{)O%F7DNuiKzf_mQZkVvqIvoiO_{V)G0aOdscp
zrjc$^x7ZCw1i0bZhOsEbNZ)H6z>%lzaZun0d}(EkW_IRizgOx*M(Lxeq9*p9t&A3n
z|H1otpP~GFJroDthOFlzC}f|4>t_x^zO&SO9=ih)s#4%begf3JiiL}H>mbr=wbb`o
z0ZUJ<06AO*-C`ra$YVVW7dODB*aXO|-z@c}w?gf>446HB4}89p2U<@K!NK6;kh1Cw
z1gH@7>-V4J47m$Rzn(()srPWA?JJ14JK)hyMbuGJ$G4}o(0;eX$u2R*FYnCo%!nbV
zx@81v-*v>l%`RAWZ9F!Q_Qo+L(=pF`Ch8W<LFKnWc%va0uWed@e=>vd*6(?!vTHV$
zE|`JKR!v5YIycm)aKPee*0|!ADIRRm#wq)hu+QNZ81}Ljrme1klK1(LlaT^DBf=n}
zeFDs<AyBnf7gAgmfMpFr(WhEL+2V>&mR2PgI#dXHLFa`(lSxQkcunx=drv6s`9e7I
z@w2dL=0Bk|PZ^%tYr&J%2C!z58O*<C12;Z6!S3_p;fLo8xO{p6xU{c^sd*bA%wr2^
zZ{7*t7v@60U&YW2WsvK`Fw)^R7<73Ghr|Zh71jpUX^LpEup8dEpo{bNnc$_*7C7zr
z2<&<r(P{WZ^uIVA3w?s{#i=m#Dp-e6OXKi*rz8~XlkwY)RP@eB!_NQG5bCy~*^d<L
zJSquu_Qc}W$;(iuR{$Q=9g8WQE%A1lCaxU)Sz4JYpx$^h+?i|#EqZqZ%NN~+ph?BD
zUJ;4nMBCe<*xZQ@sP&|%%O-Ry$Xx2845okwgK2(>C9Q2Rrz@KV(1)j{v|vmh(w8@&
zp_BFL!4zF`8l*$h-u9&LJ9MZ-&?B$rUeu?^h%SWom0arPR5Z$(LOkr~uC(8AX&O(X
zcKK59mLR(OVmU4I*+Bi<Hq+*1JLuTOY|54HA#FyLQSI6bH1b{zeVp=wE_eMxISHNE
z#!`*vNB88_>y6pc%#u&6v}21IW7(LzIXNXzS_?vX=H4g{woc%wmr{7hz3tq|Fq0K$
z?B&vtIXo{omn$=JSTSlZzk9!vuZyW1(S0Lp^jgCC5>W6$>|mbjuEuZP+#!#mG^z{i
zM{$2=h!b**h0$x91ch{4c<^XGoH`s2S&G}CkJ4_qbs!riUd#m>!#wbsoC}T5vSIR|
zeegGS4-^>gh8Bw~sJM{{l|8cHZjaq?`N1BjoR<wV#XLCjsSu7f6~nuW$KmL*a+v(1
z3P$@}frly8up#deIHkXVWpi2}xNAE!x+|i7ggS<I)y5$T2H1T{KRo-z618sIV&;7(
z+|%rayV|{Q>*E=?%Wp33_gI8ymxW{TmNghNBMN0{G3c=}7TYyq@re9-%nMqBh1Ox{
zx-<xvIQrt*S8mv+as-BAKm7bh124C>!GMFcu)fm?*#9mS#{HTJZ)TW5Xhn-~S!KU)
zP1Qw^n<I02^L?k|;&@Hj<zwlxk@IA-!h}1rCeu4I)f|@9mK>CA4%#RSSvOp^`9x`z
z-1{B&^^0#hrqqvfviWbP)AtuwoW||><@C6thhVN}Dcl|5B6w~H5I*!<B@7&tB)Ip@
z5bXBm3x7`>7pxOxg39RI!qRWg1e1p?LX1*p*fU!l+*5U7@u9vDd(|55DGQLh$rDBg
z&xRov!=dD59IU;P3Rt)sg0~%nvH7JS_xU1NZk5)D-S5C>KpR*b=z<T_dZ4mrA9N10
zM3>OfI8o|Ce663338o<^|9&mjtVzJ+AE~%{<SrcEmW|^Z3(>duFm_x%hJM#iV1m;L
z%qTsI<qr<vs5N`BBR3U~*h_!c#T!+|nc;*_KcK=Z2kJl<=%SpX>$!IE&zulCcq@ng
zWXNdH^!ub<_(pPxe5RsK-{|D^?=&&|I}N-3l@6|LA;UjSq*~lapDunR*N6`k`T9K-
z=t}<@eU!L24P<w$iOg)i(7V_lq@UhKKL^WkPKZ1|{2_T#Z>aJI=^Svwwg+pU)n)fU
z13qMG!kr}_M2;wN8Y73WpVn~B4!7gPjSlQT6gXhs7=})+{P?RIzcqH}AFJGX)AMm`
zJjsoN&%5wo6J+;z2R3RM!T(7)j(S^j&K+;U51#9>m7(M(x9-AjTmI5<tw!>4eoXUb
zUnj-==V_qrF$x>8pYE1t(#!K(X$2-xy8Q-vYQ2`?<Cl}1b0}>ZxrEv!R&J?sC{c1a
z-Q2O7c6DA)+h)d*=e<PAd6YtpA={}UCX+(-a!6s=0jjP(N`qS@FX*l+D!O!qjHGOc
z?d8YRviB{`mH$HafBw<|Qs9VjYV4w^#ZnK4>n2Ei%@WBEJ8%d$9UH-sgPb@mZY;}o
zPhee7AI7ya_(jVso{}_=Kd3L@sL3Ick9-kF%?)9E70ho_=khnd03I`G3RlN@@GN6N
znoHTR*}i^!!$?QsDRkj=oxjlG5w(<GdzOCB$)&_Gn<#M20-E-43>hBlPw(!ilfnBh
z;*lx$#QyD-V#?bRF|OwU@pgW`IOFtwadOHbQ7+-Q__b$+`0eHu(aY<;c*Os$SXA{>
zym44T>QQ#1z#n=P{jD#(*gS+>FWS?ol5x~BV;T*85=3RLD~Y9fMo+^Oa#@!_9Gye+
z?TQJ?N@;;S(=qGY<mK^{VgefJUicpx=dQ#r=5%Lud3_!~s4s`z8O#Mu64xQrg~{Ga
zx=#+^OEwF+NBaua@`>U4ukq}CbTcR9r%LSpZCo=gogYYjDY?<xr88$LYhK>O9@{qX
zpXbYXt+_uh%yQ;MQa95X)Op<97v%KtFtx-iqePiD#mw3y%9Ui>uRAqYs8zTj*gWq7
z%k)g3GS3E#J~&F9UKfaOb_JVHu3*r6EUdM0h6R_Lpl*ykWT;5rv+1^=5i|_;OtOKO
zwl<JtJ`7Hdw1w&rJLrDZ0g|RVL!aL6l0$4VYz+2;Cx3&$<kK?fkI}FwArXvAw!--Q
zOo&~Q55s#&cemwdV5;XOnEd$;j4XHozam<oYn2=>e<*dixAwqcFAZ_et%0aBVK}OI
z0cu>CfMMw~&^Ij@d#0>F^S;tO+NeZ4SeJs0|82u%w=?ivekP7>&q9;ES-8q^7iN`i
z$LsHs(f#2D9PPUlo&9~#A$<h?Q`W=E+AlEdaw$AeSq*#kse|@OC&BpHA6esY7N@&w
zQ?1ONBGabRnl(%4k@WkyW)Vx3M>o)uGaCr1W2yRVH0cIMQq{l+S`)O2tb<mN?d;`L
zxPCeHe!7DG+q#<G6s)5=TCwy#bt6SzNunxo3;m5sC;861$;u~>qNQ2!uF#Wo$mKkZ
z>$ptz`|nWik<aM+g+{9IXrntH6xiIdD}Qh5$w7nqaL(g_{PCL&Uy#^o4-Cigo4?+i
z^L!?6%UZ~`Ez5aMVHE3@#&N*%L|!{{GY5}Jk$lZ5+-tNnclfr6=XXwE+tbl(+Iblt
zv6{u|2i*DXUmNb!(u;j1ucFD7d*t%DkTT9Lr(HVz=>9U9Sb0WE%$h&S=|<!@;mN*S
zVbYo#Ldbvyq3~b3V6;a8E<95LE>?mSWeU)`w-byk{Ue+|@J-louu*tw@kX#rtrwoF
z)Cq@f-xC^IYlPU`YT@dQYQZA$jxh3GtzcjNNXW5yAv8?*Ampfh73$Ws3k{x%aO8?Q
zbQ;_fZl@Z7$*+OnvvxS>n<4D(ISC>HX2FM^VKC)*EOb7S3@^6sgjVUj3YvZlwC78A
zi-&H&rr}S)$M`e!5alp=h#Cei)WO?JO>r&^!7PafVLp63w%Yn(0f*qJ;<b3?VLbMy
zE%<JF208}rMZ2VY+_3y0-mWah>_3Mw_ewE-;RAT|a1MqCWnhJ3621_ZN(>@*?Bi*I
zUmmu=cK<y1rDP7uhH}EzNhM;3=P26Nx{*v;^Xc~GGn7$&g)}W|NC>}Amx>?KgX<4z
z<lYA~@k}jgXWpgAj2fEv<u*NfdW)8?xka}h+@iV4)wH+A9ZHb0bDilS9h)VsC-+{`
zApH*%AY~M9{{2aVQ~puxd<8C^uEHm?x^XWfZB}_9Im&CLcc!U7k1?|3CsS-VYrP#`
z+~CB8ZZ4d3%ALPU+_@gVyxA{h8pqntV3~ARG;gjy7w-1s{o&Jj-Qy`d^7bTN<?YU^
z*CMZ)YsbAtS#is-zWi&uE=Odl@h$Ct<UaE~^-HLspx+hb)$I^@ciBnD)D!6XyinTv
zc^bXmGlsSgmFDA%2GW7=eW>%=UNm68E_oQ~lGc7b>fg|t<SLEH{@nly0xRk6a0H!F
z2Wp+_LBAuXQp?&oq~#S#cRNRs>BI!Oq>)NSK08UyActC49HL%9C+YN$^Q3BXmAaeW
zqrbPF(|d;|Ldn;fZLi1*eY<jeXit8jZ^U(mW*ir0&71y>;yLHWa75fh4jkpn`elI}
ze<_45t(J4*iM716Q!K|VmU1YcH*(sXcpj6#kw0zSz=;-7e9(V6@2r~7g&U{wbNR76
zs%$8K8)(SK<&^o-rMI;5VI}RHD0w&)gXy)Y8L2wF6t|5}5YvCXmj(8l>k!jc<#g$#
ziEyTVl3*XdM2H&{DZIEHE&NnpCxrA46FRDA3)>G(6x3@*30;Tv7yM&2gjr#~ofPKX
zaoREQsFQuzW+$(UlbsGa_jKAgrNXgmVL!*|O>fS-ee$aM*}JMrAx}xx_{CB-Ti#n%
zH+i*8)iPD4;+88bFFh%fJAO$vKder+Zb*|%meEO!n$T6OsMi-W7Mh9m-A0HB-^Yrb
z!B-S}EfTk%j28FoNfsA0?GlC1Lb281w3rZeQFQjXF9tMz5Uo~pi1)jxQIMt{wa*?v
zlMF`CsKst1zsir&=ZDd_5gX~^vovbCnoWzkmr#6d6)D-(&~g7a6gQ`h{B2d(aJ&wC
z#q{IiC&PGQkPE-*IgRJPT*yO<qxfm|CjL5L2m4iIvq$$L-gf0A2Q92%^&sXWT35JC
zc9mD3yv(cJM3z@8<@a|Acy`@Z_TImkk6jwZH_g6MK~N+WsmhDjb4;MUbU!Ta{RWDp
zPO9NF1N8rGhRd2IhTIYxEL=GZKh@cwU^f&sl!oBtbW42NV-PkUHp3Z<`{SlrebFY#
z1dqJ#gUMk=c)y<^-j+CR8(JjiMyozf)X+yOYdzfSBYCh^>tK(Jp1Ag~HkzF2fm_dN
z;r9|vw8+$u{-5sX=hh7`YIH@utA^XsRPmI%3ciw8#&%M|9~%{sCMlqsnLPSQY?DHT
zPMF_a4$bFufbzY+5EStTMoejg_X}IW`|NMHH0C$_Q~M35`5VUh{Dv8KeuHarE3ArY
zgEt5Mz)*#D*qhM-3WMY@zE3A?9M~BLyU3$Xm;$;VQbgwlCG@pb#<K}3xV%mkmkm<K
zn24_EBX+}-Ki%=Hxh4j=YN3H=4~%luMmx=(XnCb4E}Wr*cufaqY3SmALv*pDpDzCT
ztb?Odb@0`{o_Nr$CqA36jqw3JaEO%_sz1}f+OY0;{(V=R<)JR+JXG=JYh`rl-vvhn
zD`JnM^4RHbC;aUvhhz4(!;TYeaJc;!EZO`6?#%cGPgi__>?h4&m+={za+{#PToY_4
z`vi^RCpci#1T$)yV8Ff4aI#+u47%_I{ENQ9;d?)z5B!GUk8N=KdOH+`$>B*2>6u=Z
z$AA<?+%T&PZm?Iutww5?C*Kvr-*v-{7c?ZMo)#|h(Z<OgJ@Ld=U7Y$)54Fbk!aGZP
z<FVNW*tL%#o;zrWa^DQGM$QNy+%m*n(+x2pPht!nlsMXpdg1yndYJF1i`r9q;?B`M
z@X{|0>`3p1Bem7>_C^()AwBnXUJ7_r)(LIab-=5Gt*}G$2dG|cfvCHmAlmUG{ObM=
zEWBRB_0BIr#o{?!xLyxgubzVO@~0pl@f7-heF|6V>mhICb7=qb0&Wg?4JS^&g)TWC
zpy@>;IIL-g1pjZKyy+Jl{P_nKddXpx*cmsBRg}~ZU2y3}RUB&56;s}H$BGOsOmdJo
z;`ep&gKsZ<S80ID{u<$mZYEgXV2T}^`bnI}{&>7`01nMJ!+<|#So7Ts!#0~?X88d0
zj_i*Kb$wCgj>HHL>4R&F4NzX1N!2;);I~s+81u6muI;UcldZep#xe33B4tKTj`{@`
zTAQKWKw^NEzk)XppTdaLhw$UYU4X~8Va<B!JAPB@*<8H>mlj`!W9641x8M>i9ef#<
zdR~FUa@U}T({;#_y9HyMYXI9NmY+o(q+fdq*KfUqU$*Zd@XsgctoIF;CbYtMBRQ<w
zBaeTFb-~MTR59yNH#AtSg=X$LSS<0*3Z59E$tDvV)uTV^hD&=-iJSE*+zLxtt#P^0
zFr09AI6mnz0?(crfj_T~z+$HnxLCs$pN$%Zy63I&d*)ztt24)E5=VSmxiOww-5Y;A
z>xm{^H1M#pDu%Yp<I(m%(p^al)T_M($3>6fbwUmFTzeIwd_|aJbr#GNPeHqsZ9H0D
z1mT+xK>b9C!`PY+E*tWpwk{w1zVC<e*9xK5{Sb5wI}E*s9FrV6ryzIE87RCe^{<a#
zfQ#Dyfywu3u=jWfuX{-E&BXVh`Mnt?bZ&+4QJpZfj}nsP^Z7GJ1DBoZiGOu_<D*T+
z7~0w&EdwlYX}&csJY$Qt$)mABUce{nWAJZ^D=u5$jxGt~G2rF|Ozb}q%cCZs*98w;
z^~nu~{~m*J4Nh2BV~6v2C>A_6$0TPH{Mt_sAD!%m8od?qyVQ}&Nqz&qvb)fu%LRzf
zIR&=Ir5VkXELgfP6%HrG!^vLjpvf*2_Bza$vVOC`+{hnHQ)YlwCqFQq7yzdr5G+s6
zhuRHG;7i&{$h)#0P&FP3%QwTmH<E8BeHUbk*>Gd&0SL-1feK&gZgY<a$xHqN&pY>^
z?B+ArKc@jIxBrAS$0VO#pu}kp=#G7}b?~Nv5k9@sA6t(Pmb`<um{Z`0Wn0Fg>DY-F
za(Ig5Q1Zt|59i=?=LOOXVlkes2*tYr%kZ1eGKrfNiaqu%!Ut!9aOULzJoLaDy?eOf
z(zBy*u8sw^N_VJL32J!o@lP<A@esPZoCD?2*<e+=QF<1BQU=ZjR3~V{w8BOq_pB&9
zew{7s(@YR<3k!vi7e2zS_a4HL1>=QpM|^}(hq=PO`c*>Bl|<pWkRfbPD-b+eP6-3A
zUKI96+!qSk-V5HIe}sNw7fANhg0?w^(5P$<W2f4JmcKKAwHK`TGz(r8g@Rpd3^-lg
z1Q8MG@cY$1n5k0)8K$LBtjiFqSPg6cNL>CdpW)2Ne~@@x8RtoB<Emc<m@NJF9pZ=K
z#XSOU>pua{sm#F9rom|7v;wDgkHs&e6S3@T3flkMhMP@x;tB06JiKi;9`)RfE!{Ga
za?{b`t(50`5r>A0!q9j6RJ=IX4sEg|cAw{W_#9sjjdBriMWZW3y%;UTo>LNaPhAz|
zX6upZTA)ijlQ#bir^SuY^hr<JWABfb9J%py;o3$jm>Nf8kH*p#!)WrF9Z82m)>6dE
z2y!lppywv*XwQ!*s>_O{fy*{hra}@0&Pbt*@NKlrYZqm<?jyVKLh4<4ly*Naqr{gY
z$zQupPP-qFzW-~g(E38ZFa9Invt77JO@qB2>v6o1DNm@eV4v5vjIO|CFFkl@=2TXK
zK%Rbd5zpAal3&)Z=c&pYxg<Q1pZ(dyW~-C=_=#kG8nc<Dn?#=EAIG<MMzFSh2={K8
z##R>2{BN@bPr2HIVa6}|(fJzH|J*}<7v|Dxdp%lr`Is2Dq_e0V=i(H*MG!O{b_uF_
zGGR#WBVmnNqmUBzUGiA|625!<6co>W5yWndg6pu?LU{dS;me-8g6+fWLdDCALh-jM
zp>+5;!CovAE*G2@o;OPFpM9r=nloiWv(q`@i;Yb9y7Q7yyZEMXzv8~2w&jJujh}=o
zAKQe76BHpyr5ijrs|$4!->qS&6<jy9hr?5(Il#;5@bygy9E^^FP760dUi1#wvMU$H
zUOEcShUcO9%ynogegaOapW)R{IlOsV4NJ!8V)>E2IHAcJ(-b6z-Mfi+Cwe9tmMq0)
zjK%}&rTacgL#30M=&qcL#^DEW>!!n)@}dOCDjvt!gc2OwQG|H|^YO{Yo#+&pgcfy+
zQE#>jPV3SOw<gzvqQzzyE!Q9@+ntw<SkRp+4un(2q+ANosU+X^HB_MZjJ{dEBmYSa
zlEbf&j<q+?{4pQNO71-^Kk$YE6JOE1XD=vQ;&FK;Kc~5>FGwx$CB51DnnHKIBg+*H
z6xyem?(g_cMOWJ>s!mSYk1DXqd1e0DyDQ68Y4XCII&8eRH=n*>%sT)2^J=tUt+m!{
zvcs0ItQ*a}rMyw#)G_SZ(~UzNJy_$^1b*!6$^Wz`ap+x79<+WUAL%llhc9;H??ul1
z>be7)ys_oy8dkh-ReyfqXuvjmw4{WQGOJd$la+4+RZ8d0O!+Hhaj=XuFCL`2$lX-?
zDwWFrZX}<CHMHD)5v|h;B+ts}q}S#{XLe4ewNoaO=|69pJ#QKvn&M9<kItct@gdS|
zbU7KdN79Sc8_8(dW_s{GjW*QpqEX&Cv~=7-+I{gD{keLEq$&=1#oUl`6Ay@XyrhN6
zO%!F)M!`qr`Q9#7*1GjSOXnSp<^TV2o9sQaM@3ncDBaifx+*R0q0-)HXnYz{DHM`f
zq$HX|OQi_+>m{Qy5~VV-GD?YvsQ6yLbAHZo?mrxd``p)cy<g+`d^}aiagGl4N*R;x
zz-Tg2v!iR%oTzd?kZkB|TJN!l_O`8{)ivu#PGc+euJfW*0lUd;_Fme0U>}|Ou$MZg
zd6Rma7x}!{Oioqq6j{5F2IQyHjC&I)-N1r=<ZDornk20sXvaTQFYxh^+bDTF44p4~
z;+|CkoaL#F83($Bl`^@)|8AWZ1{~Za%(I*(92~L`iX>?X^S-DGy*f07ulkLJSxNRn
z#b+~x(-y85{=Rxd*cllrob3=V?2b<pPI#Cj{JQtGaC<|ekYs)dE&U|$b(bQJYSqCR
zd(F{4#SWh(3UHyfD}J$c$KQWFaZT3|9IJjBvl}B2y)R+Ho118;@esikvFCIdKK@XL
z`tv(+Y~L_W*)@Vr2B^_t#(>-}kD))Y6Y01qM<2&7AlVD6`OFzl^6xlE@pn&Bn_)1u
zXok~sw{tWz;R0R0a*0kWTqfsB@zf)Jkv^%Or>fMmbh^@?{&?=D+pbH9g9&7GNR4cd
zeMb4bYxq-jJ}R9<p~xK7?B-8b7@x^1Z2N@i?6(b`?84HMtoN5Qti{1d_VVI$?7=DL
z*@B95tZ{ra8z~aSj$ItVw!aQzty9jja-wJ1j;>I)Dda30QWM6W?ucMBF`Bhr7t7YZ
zyu@0GC$TFPZn3#v@37sMAG2@9<g!O2i&&cvZ&)$WIyOP^3;RZ_j}`qP3N8yqz#l^u
z5M84KuZE2wbI1~Q@bkgms;MA$dL}3^iy)wS6&Q}&4BNzZ!ZrQ>z-6*8L`d=TKU04=
z$7@Z_E(?G;#{RG{$`5jF4ufFrE^sSe58odz1am(DIHg*`<<}Zu7A3-KK;N_dKkl*z
zJc3!zy!q_$bX8VlS}rqr#X`n6HCT{rZj!r4vM=}cI0xZ`^ff|pwf}@BA;*PEzm5x2
zN)8E+o9_^YKXw;d)y)zvd@w<{O3Fw$$45?h;%{eeTh5DI^$XW?i?UDV`u^vV`%Ydy
zS5qP_r>t8khy8BhZ1iFIR6%O?)Q}Ph!S%Q?0;$RK1UjR=1&KR@1q00&1seC$1PZc3
zLFkwY!BUr2!P^Ue1Y5?9VEQ&`F!RGrm?h=5jL008d2PIiG4b2PJdHTWMAIqePC*o-
z+I@v-*?5;(IyIO1apN^3$}>88U-dKY`=nWo(dul8u?ZV>!j4V!;@ET2%h)7854J(f
zk8R%^%9e}rJ8Ir{y=7A-+rF)soo7+ce!*V0c&rqRlTm}GBF3=F*cRlxSvc0Q2#kU@
z!?Ll5pmo_P_}dTxwSkvlp2$tG>bnP@dY{5}Z~k&GD1b7-3y?A`f)51*VOO8P)x*iK
zf9E++<A0YgSD|4pU$aKUu($8TG5H?`g!$g*u&e$f-Z~^rvto3~-+L4lEwtf%wBu>8
zZ32n&+`3Yg@$}}KEzLS;O$i-VRK05qC2EeM_utLP=(h>2m|#p>`Ak$_TLWIpHIgLL
z^{6vimk#*r(4dbtpU165a=SH2eX|B>FIK0ylho+4swzEbR;Jgtm8f#NBI)xSM?YTQ
zZ{sUV$)iTl)wk00H&BX_1(I};_eW*D5u<kxL@DyR2o<atM(NmpSS|e*Z`~clSz!Yx
znerQ>MSi1pOh4Lq_TzV7J_oI|A1AN=jS&_DINE9uKW_VjI@Nzs?D!Dg9wS28V?-%$
zsu;y@5+|`Z2|8ILNdbJ8@XVvUkGX0DEw-1VjiK`NvQdGIY?SD`w=&(jrb75!mG1Bi
z%-$Sza){I*!E{Yheyd3XQ?)4JxE3kIYEj8aEoucV8mQFdbE-5cX0HbMpHL_J?P}yb
zMwM>8P^RM9N;Ln00?A9rlif^NGWC-ok4I7z_C<nZ&BbZ-4pH9YK8!9K|DuZb04inn
zp~m!H9M=4acO1G<;#Md2d49*RfNwa|+kyA9JJ7AB1BVxULqnbKcw++3zD)dqb5?Yt
z;;J5uO8SKvmcLQ7dl2J){KJ$85t`15(G_w2y}y?vU%nP=xH^LJqU31MpMTH1KQw~p
zd+xSZqX&cPWSpi+-k?p~V;ur9JsNL1lGN1nX<R9<6`p56$HNV%Gs1w_1qP(?QlI38
zMpAjF9@$>jC4G4vy2WTwud@b?l~p6RyUOHjr$`Q$<Vb{PN1mQ3MUO9u6Ei46{Z)T)
zcV|D2o85!IdOERb;48XqZo@y5KO_1#;y<n)Pamnn_tv#&zorJuC2LS>R1NPFufd)d
zwP-l)6N-&#z%>V&@U}$@T1;%mviJ_%u;K^0ZS28!kNWY-?7t{}R)lsaiIZuvBy}v7
zA#*u7UhA(wE5ntkb%7d*No!IOpPg6htVc)F^yzG`A>EPZulH}JB!9-7_BL41`Ol+B
zFJd$uuN_Ux^G8$Yw9!0=Zxq$>^~lkwW>l(XLJmQOH2&&Ha`e)nW1Sk5>!?aKZi;kb
zl`Q2fkfI3Qx37HZFBX07#S{MDG3#tAe$Z^derrD0ujwr+JC~z4l;DP6FL3>;LNwaV
zGn(w4qdo8IO-{|j*DIf6d}2P99xg<!`WMK(Dn<eC<FwSR#3lRQqve!ZwAs;!wS4V$
zvgaFG2zt=HdH{pgi_rLA;v~E&O(x!Qbak#0W%Hl4f`JxIm((MbdIK^}G9g3Of^zST
zp|?$A$*<Uk*U;Hht^Wi%;ov}CTPD$SaXw3s_YQyFG>I%V9q5P71bVRBj(+Iz+VN4A
zRFq&&iqS?Cs;x(1E*cc*phV{4BgnHzjMsDy;OeR0@f$UwpsNap+Dovt;5lZ;J;Q6>
zkMRD&yLf+c3QAkuz$>~}@%8W(9RE52J$(}}XD|U1rzWC~(^Zsjx{e;!$v9gh4ZFhb
z<BM~ALa^~Od}~7(nO%eq`DOTKS`~&ke!{g^TJb&aH_CbRoA(BYQiQb>nYqi6(;a2f
z<9DLbH~5;;$(U}HS<va_W66o^X#HOYTH7;)c89a{^~rQfUObCprq3ncz4NG-=2Nup
z0-CsOK5d9~r8|kUNy2XiJ($drT)h)r39zTKxt3J2+L%VPYLSVqA_b1)d2zRTak_6K
zuD5y3@6>bg@9ewiu9=8;LZUG<JqY`Ck7K)mH`>hEjQ@GMW01=-9D8*UPJxA}_;n!)
zc<pX^kQ+9et-%4U&DcME2Yx>HAD-<yj$-!$QK9J!wnRl?1;t^4cM{IJnu5<(rDH(C
zGYr^Ufbli2amA-<3_aG0ZMi@3VB#<;M@rG3D+)AoK%KN=N765EGg^LREa~2wK%$M#
zWTP^JGIZw=Q?ry>ELYR~+KptMvz_E)cankK9#UJpkCdP9Bh4jysl9p^nSciwAKO5J
zD{fTsVlHiR5Rj3R4dstFq@U+_-EZO_EKaRPJKblvChjs8-aCmW_AEp7S61kMR0c(a
zRl*3fWTENU0HNfXB|`jSEu0yvEfh22wQ_qDge#t?3m2_15mqTr6u!!yE6fPkBHUf?
zCmhiqE-b6NA}l?0U)YsJLcCfj+~?RTTogJWyk9MaqqeK?HT6i896uWW#!kS5e89Hy
z1?X0_78`%;!k;7kP|+h8UwTC&Gcf_>t5R^(x(vM2_#7|os=&>fP3YPF6U`2b(OyG&
zy6&k-VeZDX{l{3kW56?PYi7`Fl_lhpxSj^r?xJ_<zT}(}K*#mY(D@$`R5W;=CilgW
z_W5|45_Fj&{o~1IMjYL}98LX)&X8HFA9*`%r=Np!$W70RBtMRz4@z%P_frJ+C0e2r
z_z7*F)(IX?EN2e6nX{|UE@geU9Ay8toMv~{hO@;1=UC;(G3<ErSa!~?7<RS%dG_Xp
zXm&?dB>QS%1UqSAI2->VjO`H#XT3j$vom)_vYPqPtax(_n^1a@4LNm%9Z<T#O6^Ex
zJLA(?%Ntp&_vz<sl1nKY*YckIwzZiJF8RT-TK`z>Ymy*ir2v*j8lZiYpXoYTK+GH)
zFiCWTE^`hViP!%xSq59v*TUX=+aO!j8?MJ61aDrq{PV;KK3C2kKIi&_mz_V{c0U2!
z0$vBCxesn>ZG*E%S3q|RulcE*!0TC!ptw^GYIQo<uUiY)r!@(zZN>rizRD!lP<NOK
zs7+*k3oIB#|51Yd!WFqn=LT~v{#pwQOXdq56xR!1<!uqhgl!a#d$>Z#sm>8zoZu*2
zw8TuPx>1SOUH0Zq5P6k5`%7Z(<~MtDF?dw2$4<;~yxyAqOdvP)g=X&5o37e|<*Ew=
z7Ck2fr_wG7HV!`$q&bucZeDH^ycdcv7V3&jPPZPTc-)e4X?9|6yUbzwD%_dUhr5{A
zGbfmS-UDhJbAd6taf4aV^pNr0^_<zh^DQGS)y6b!{KHK7D8rVjX|TP%Can5+J3hw`
z*q;hZSchX<*{X^o>|lH_8?!ft%@4TFUi<NoeNvv!hP%9HCwq6WQ!_+hL7F@qyrlzz
z^ig0^=>QL8XM*OU6(APv3H5h)E!E>7sK|+ebx-5rllx7upK}jPl%7DVQ4YLs=GT1b
z1dU&F!CdSqn8c@n`Hgsp*%k!CaT}m5lFy;r*};}iJjRZlHIK0#DT<-5La{*f72dh=
z8`XH;*_rLy<h{y}zDbypwwoC>tC>-71<$S)H>T=-1Nz%KlGpm^(t;^E#N=y{XAIBc
zN!K7RO%3{;txg(=>U907I*Ie#l6hVl6!J@hpXF%M0zPB+;D8qW<j>-)RXW7)iKykI
zF4_OorDvc=`8)Jz!frjfF@tA|f7hi~n{_Guwhn0v|BpSaMOWN3$+SV8Y8W+=KcYhS
zW0Yvs1qISRB}a?4j-cy|H05balIw3VO8+cE<6iv3Ex!jakk2OW(CEQJ^)8;T@f|m6
zbl_6sFE}oo-_ver#T^$~&~;)9PM*|)-SI6Lytx%a&$OYe(ignZ!TTHZzhf<5e|3BR
zM4jMYIOX$iZ1nw$aTX%9Z<H7%O_iX4EmAb;k_-h`%hDeM1<Kx}M9F-OIrpO)H4SOd
z7Da7}7S*MpH+p>LnLhb+8Bmg)5qUcpllg!#1@AYZk=IR#2{0jdRTCO9&zS5d7?H(G
z1G=lIPx2%5s6U6FtxeD*@&DB5ZICjJ^HHFhC9*VR#J}%v;xsZ(gf!g#VCI%zI3n){
zemU|L6_Q%8(YX;rR@CwQvX9t3`aSM$d5hQVDsiqt1-2e|gFn39pvspwxcX}adU(CX
z6WgjV{o@C0&aS}*xq4hhP1y3j6~E2yz-ua9*gN_cZVetpQB4uLC?QTO<fZ5qpVxe7
zDPRAFC{Yq$SN9EQ&=YeVLcvIy<!neD>L!$(Yet)FMiHzYLrIgZs8=|aw3>L$Ppmbu
zAFO##ur<AC7)K`($I_V^OKOT9O|E6;v>}S;ntU~&sAgR%3)Lj&eifQJQGtG~l%b46
z;#5BC9}d>_VCS2!sLVCtg_+ejt-k`NY$(Brk%jm;jL>&Y4vGzBqQtHzsG9N^wNoBp
z-PT8Vp!yNs`12So@}6Lac^1w#%t7T_h_M;@n8W+RYL}MbgAbL+@t(xTwhd_hrxo{(
z=Iil?zwqk0e<<55Mt+9URO};1qkix`(0}UGDWya1ar%^OVnTmnENBGJ`__}SA>*(1
z^zonrDJD75x5dtM&__U;k}OSaWXWcjrB{o1E!=AX?b+*00h665Z0tl@w#1eW@VYsp
z(`Ll8h$%Tvlk&`!Xz^KT`q?&&BYt<`f{-Sxt$K@n@-NVGaW=~2J;0s2l5y7hM0{`|
z4xLob;rzUCOuQJ19w8wZc{~_zYzxK&+YmhX@(f-w2}3LENHlIZhwH54FiAN9H~U>f
z;h_|?>$`_L`Z7@cP%a+#Da0NB$}m&p1F8n_`D>>-@VHbTuJq&YHAgA3A0<yGXQ@)u
zd2MQwG^CO+bCNP0OQGrZG}F?F+V(M2^4|<nSDQ<fRtqWQ@=|J?wt~_IR?*yxt7)0|
z8ak`Fnq+wH%&O1J=z7RP;xcAa;}M|Tf0O8!C(kVXXG|r(HAr}E1U(NM#Fa~$@Su7z
zz7ss=GyRfqxpFvGIUK{G^o=;>>|7k1;D{|Z$KcHs23X*(i2=)0F#Ve%s+THaZi+Jc
z3e+)Rp$_kbGQ?-Lqwvua8=ODZ2`?U-hDJB$qelEHjNiNsbtL}70y=?54+i6r+mR@}
z=_1<RzJ}q!cTiUDDMmOx$5Or5Se{dZw=BM3?dpEqV=qp&Msk#LK#hX!M^f}Wb3O-&
z_mTeRNZso>dbib;nzk;d5l-u=EX{+y2JI#HGd`s7*pHTZ`qQc@f%M~FAngbV<hddK
zH1?z)VZ=e2W9dcpf88ly)f}3Y$zM-*j48HGj&gfCP<|QV0a-qmTy8sRx0&PJPalM7
z5xa$XXA^VBx;hE8H!3kNqL(uY&Hl`ajnT}3vzHj_zn7U3KC`~^PYh%8D4YqAJk6{#
zKEhnOzKyY2w3JbM01Rht%ZPOvGNSe>%u)#nrn#a^5SdXcP>(AXoL`<JFerQ=D9TP2
zXe(b8l*e8cjJCNXNPm1$(5VzJxHjsFK=s=-f!yNTg03a$g7ofZf+E`@!KjgM1+Mu`
z0+#6!tb8lRsHi9~r#-ZptG#AST!}qnt;8{3>lQOR*KT3*vko&Y%0W!&rgMyRPZD$O
z(|yKt4l!lC=TCuaV_uK>$M{^AWj}q>VvWNrSf5k}_LSEw_VjOeHpXuc+kP>CoqQ{j
z-6xjF<`>^%9n6Szvwq8FD12eHT8G)uJLO@%q%K&!91T129N~8FY`D8>HS{*^hNOun
zA-OIT7-1}IPq+#-WA4DK{tPJe7s5~LLKvF%3NDHiL;Z~+;39-juq+)WwO#?+n?VrW
z$7jo&Foc?*e73P$mwmeNxX?@b82+7FicJcV^mwBly?ts)m$yzJn>;5v^>+$gQ+6ia
zy+Zw$9LZ10fs&_<Cy`^ew5e<yZQ*C*n`=hXkxLeI^{5$H_?pn22qS8LWI$5<%;v9#
z9zB??Ln=qKNG(}|9==wihHe$|R8ppvF^UvEO`dGm$<puRGPF5GiuCIxsK!j3<{c9y
zkx#=I*ZUVkT?TQ@$9}AN@C()7_TVDkZ>_;=OHEX}(2wu8f_R<PciSIW9Q*?x+IQjO
zG2OUh$4`{{-Gi<#f8nj#el)Wl#Qm9nvGedS&YUPp{dr<!zDa_zRi$W8nKb1`ji6z^
zSDR>|K-0b}(%Up;+Ol4iT*cLiA~fiWxE6hO)28~<Iy5R=mjoVq^h;$V1@OGU8#t2g
z^53ccBk6$5NP0P6j~2V>Ql_a6C1+?+ftn`WX4I*I;j=q*`CQT}1xh#~M=mNODDsLF
z`C3a*Ljm6}RuAE2w?PzB?!!o>pP0VB6Bo#LU@5O9Qx0#z5btJO$oI33{tfsmqaK}C
z*JJaZdKBxcN0rtF92PX8>%V5y(r-npi|r`w-GPm9op?j_Cw9I4h0-+xSYj}QA6!Lg
z(N%sn#h;TUfimR4&nLWM70A|{|4i<x(s64IioC2vuD^6B+?wyzcvsf9QASku!I)&`
znezD%X0&gkIl1<klihd=is1RP3bE$&_^BC<K5R<4AC2i^ogt+M>r>HZU7FLcMdORr
zDc?(lxE2MvHeHq+Vx?&2S1~$weh4)~`my{)7f#yx6)pCE#x&7-9M-MI6EEN4XSE94
zFjR)WLrO3w^A(N`eu*3UUSRmY7pQgdB~}-{;(2~0XuxxwmL7bAYwx_pD{dd~ly@zj
z{@H*EA6jseUI$*z=)(W5^`T|WUmTYzN;{+^>A8;#X^6{HQk)XcgH)r+DxUMYOP418
z(kG3L#x(7=8EwxSMF9zxq-8&jmV5I&KUX{Ym}yVBY2#_N?ga81;OCj#cvAmqM*|YJ
zq<C~3S+C<~6Avw@<dg{=Z__80c5TwRtVSIp73t$K8QNYgMyh8AG5^62Ts5Z!j~uSS
z<*O@jmh3BhdoB-aq_a_h=YRy}JiwzOcTv_l73&2lI6Nj9*S6fkU0ZowD&KRT2~Wi+
z)4Q0y>;abOKgR3(GqH9_E;c@Xj^*cH;({NqaeZzT+6>oW)tweJD*TSqruE?k!(p_r
zl%P}JWT@ti0?!cUKl2VP3RBXj?1?7S%CliL`1!;hdpqLZO(ZF+$#m5~K=<Q-dIF|X
z_X`(FpFfL|MP~Dvd9!F<;!FzMH-j8mj@qRK<iTeK+ds6Y=|U?yugS9?Kk3n+K#dM;
zk)_%EeXZ!(jXO6t;Q8_8IH*R*PJD=YnK!W~;}Uu}M4`u|5X`ynj|<I@VnXD9*nQ9&
z$K2Y9!{2w{@W@>#BC`igPydIz4j#eKH7BqzJ`j_3hhSD&IDUL|9-kV-W1j3aEIo7^
z-+83tgZeCdS^FG|HkBfG@I7wPX~HvezvEkl0bG8M*VXEepg$!_RF$bo;kEh{WMxhq
z&-3rqo<L^jrqJA8jw1Ev(6t{6DR+h&4fd_3j;almlCg#6Z{1E^86Gt9s0TfW-bNzz
zo9NquwUpJmoa}hU^8I>_>f-sF<?&-E{<kg_%#<f{(Lb0wREK+Q^HAM98K=2Mpj+F2
zct30*%B9$1*ho#BaZ>~z7uO4CyeSm!*!ozwBkHzr*47)sR*4%z_2gus&b50&e#S5C
z++85NyRA}qX}C$aQKVNWYa)(4ALUWWR139+j4{Z29Cr9S;p7=ExGsMQzEInU^0W5f
z>t}xGvL+Y}&qrarcRYIiyNSND)3I!0F50*iW83(TxInTUXI1rMftv(vnX5qW3pGjb
z!ic8Nu_Ehf4)pvQ@P5O2q~pAjR#<N#k3nzB-{4ETLj7sirXaHO52fc1!|6k2Bt2Of
zMYG%^$sjz81aE_>Pv4(@cJHS}`s+z&?koy%wx*Pis+2#a6MMy;qE=A=<}_GgPsamc
zvV3@M@BuTX@aKJ|diEfbwON~uy=KMMEp%j`y<pg<GkAv7$7w9_`;gKsh7DTp%tll>
zvI~z)Wb<O|*@CsU?AJkSHtV!C`=5>tyC&C`jrJSQCT^R=rXF@?_hoaey2Bjy()Y!z
zZ^vr3)oDBX_w#=C_|X%rrAshd{4SEsaJa-e?!Uo$U%bznWn{BQ-@at;ihW>D^4gs|
z>}Q=HO7NUuMVM`;4WsHz;JY!Od)wy(iE~_FtjrQfQCtsI_B$cS*#{2q<r%`B!7#Ei
z3{1VFL4P;~$T1Fb-o`;i*acWK?mW~6g~PSz(=dcSkT7o}%no$n`6r{HP;>;`XDiuh
zFJjo!_ETBk+WU-O-Z|$*so}!hd@*#tXp2uv7UNEJFT6MT2sZhgMBgs~_~v{d8mI)~
z{0e`*Hav;pVSac~?--tcegvN^^TCOtKKQN82aAo5;;VIj7}k0cPmMW+#$!X!yE_a+
zea~S{`9*a8nS{nIDHw4#9aWcRV^~cgD$lLJqsgCe%s>Y&fkDh832LgBr^SagNGZgC
z4CF>rLAM<xTk~~9nhRZ6xQK4`xl{e#t#mrvn}qT{<h<|%#rz4N((2RnIVYG0SccG;
zieL)6cbe?G{rTPcQMxO>o4i`rP>=B(ikv=y3jd8HZxu-riKxbrydET>;{=M?JD^!|
zvv9lb8lmH<nw*vKBFw&zhneQlx0&fvUNMi>*E2?$9n3TPZf5%NZswVCCu6MF&Mb^;
zV0J9|z_ho#W_(^0F_)Giv!OVXxxDHTBQU<tNR7Y4Bwb2ntT&`G^G~HQ<#P8Jsh{c0
z8>gqtftFlm#y}yX>s!tg9jsxt474$qRQi}5U&Yw`J94b)1`SqH!-%!6wPLZ@kzMk~
zg&h&NoJ|Vc#s-e`VOuAjX7ya7*r3e`>~M4{yR0jd9U1YG<wC02fM4I(cl$&DCd&a+
zr3riInL>7wE#$uzfKKT==nPx~8>@H1+Dpga%=6Q5&m;nL>@R@N?JIC$;!POZl?sWi
zcfru&K0xMO5IWt4x;0l}icBo1FAsvWg*)N#%oz~jstcCFT6V7bY4-ZRTIN0u<<426
zgQ2m$*s6I0?~3N(`khtS*3yixy7`)<=Lde&>&9OjyU-}C6VoPq!;eKgAN^t*rna`=
zG@dQB&+jubzdxh+j8;71(T-a-ci<YkAK3V^2cMV^AUkE4pSz3E>W5Mk^+1;ADJYU)
zw;JzR)TXE1BgwbXm>NFu=V-MRt<Sfmrl5)RTx~LC%oor%V~%$0pFtPL@;(dOIh444
zE-B{BrK7rYDR9qhn)1|z7Itv-Pf<V@Y#jOLk{uc6jiLSfjrrO~n^qj=Iagz(XmQ>E
zO7j_PD<@Rp*RleXznOv0KPU5S%6MEp6p4>If>6Wb1nzl#0QGO~#C_)5@V53Q?3ld)
z9|ml|_}ERno@pC)$Lv5Cr+uhlbOa~pp2Ru!r}5jHQ0(rFLbJFy6v<7*?VFQv4ZlNp
zEXc&NLwP7*OYr!GDvaiP*CeU$=x;cH=51p1;q(Z~*`-XMW3*`00G}g%hG)=&H5tn}
zkW=MUI(T9R9s2D`{TfT@P5LUDcWpftKG{NrIUaQL#148^zLS)FcT%jo7hPMljW*8T
zKtqdHQt!S6G`@NorRF)1n(t`p*{DM<wIgU#LN895T7_{gnRtDE0?(KX#JnHtuuFY1
zK9SPp^KyoTirsI8Pd7ah7N3e2_RI<uzP)r(IBnQh7^QJcxN4Wb@OyuVFj?iikXJ(s
zv&`-Zz4qn`TYJicR|6V^bCr681vA7^@|Xf{anQ!fL#7zL*aoq33brfG#%J1Y_)>Z+
zF6#XcWqkcnDK-?>t>m>{ZxZp5Vj8v^KE+My1t|5W0>zseacxyMChZZW3qi7U&|aMk
zcN>u5lrfYOHi0Tvvve@hl};$Hq%RM*kkOpI<a6#A^_m2d;fWA(v<WB8?kKtwc%El-
z$M9!=3>n;vCLP^y+RdL?Cd$W&TkS!=CoiORJ`<=<TZ_J}`-w{FPcU<oAF7fr>WZBd
zYHLjqMCr#cl8%3vPkYVS?J~gb8C=S)ZQsDoUg5zy-rB)RiS1-PH+!*fFKuTxyKZ5h
z^le~^{;g%Vr>$n~C%d!HUaw-uhPbnnj;&#XvevViv$wGA<Gt9P<9pei6OORfX(!qG
z!$IsX>2S8$J%-QjPGBeQzQvxJ`hZ>f;~BgEY!O>y^p>5R-pHQfHLLF5hgpL~GEg=_
z1=c0%LQ1$9v<zCq(|1mwr#J%)&MbsjtJUx-e;b$??*rT6qi|d%08EYr!SivU;MNcZ
z4^~IOJ<kZ({yq%G`<#I>yiTy$;ut7Q+5sP>+(5&c0dB83$UT+i*&p?6p=cU=zw!VZ
ze9M5Xn{$;(Y}q5A1NuVI$2WvdH`|2~k_!0H)c|ju9D^a>Y;fgWdvq<Z$4V(X3^TFD
zfg6@sEiwx0f=%()Nh4gVZ-53zN1|-D9xnQ(hjF_4C|qEOY?KMEYqLQ4rDHLv&K`G$
zOvX_gr{T0+^Ux-11s-3r1?A@K!y&g5*isUVx=PU~Yjqj*_}!hK#Uqq5B`mb(nNXWQ
zp=(hm=8hNP`_U1!IiH{1@@JG${}@^-=|FdQy;gVW0;*fFhAd6I$n)1B@|o#RBBjCf
z;C(n<w>(d?{o=?eG@gzOT_#_C$MU-QB5kTZPX`x-k?gDhn%K0P9#30BwLBwk@di~2
zTi%EXbOl|WOh;@>6>je}7bq>rU>x_4WP7JBV0Cr>;~Dv<*_fsXHk*xMPyD>VF35~y
z6(+^;p1)YuXKoA|5`T_WF^*>6OGmNu_eHXcd?VTaCPcAKx1!k(pU$(NK3!n%r^d6t
zW+t(Pk8iTF{b}q|g-2}9pJ%K}em)zty^N)f5A6E|pV=ufU93R(kInro3FlTQK*A&q
zaQ4*)69Wr)sA2=IGacc?ZGc6_b7A9|rLch3fZ4gNU|hNjy2l-WgM0Y=nVWvFe)37k
zDLn~6Q%{1@4nOb<@`0m=_kh*oEiihk8{h{Q_;`rluap?UaZh=OZv4R(cNVdp@>kg|
z+hgo>4~D%SD8pV%ddO^j=*oD^OA`2{9Lh;Gzngn=-3XyX?HHkD{uJTK5u7k<8Y6s~
zI#KAMKT6oEufb<yhzOa&s@%=jZ|4>?_~u%cnCG7Oo0Q|1ethzXt}9bN|I!l-PTV3G
zl8+JW41X$!_N*49eg7lak)g<ZxMIlIH`p?_Z*a^Z!)46BquZI^KYf|+D}oud-{+XV
zy-AE|+g;|@z8t1;aw$`|?h`Y8L^pHhz8E{{l>%$^RfpI6k7DyuCb9*AGuUyB%h_)Y
z9_-h&W31BC5O(I+ST>>fI@@>eA+HC2&Za$j$LjHOo$We9?AOD5KHNu5xHr)Z+M?{i
zzZ;-y_F`}i*#tV#|G{;g0H}*R3u8oMA=n}je%wulKjZJiJm(BpBglf9o6jJ)ITM=p
zK7yY9+hDTrGF06>15)BULG0*M*d-+gg&z0W_*n+5?YP+7sc~a*u;M)Gyeq;zyyt4d
zTXEWWN}krFtI&E@o%Z*sQ^tOE67c<R!$lRUY*Hc{fg;^6k*CX7<>)={pB^(`mL#lX
zNw{8?PIk!BmjXFD_(h)D<}1?bP9+Kus?eQGH7c*vpjZiQ+Q8|O3qK3d&oQ9WEk-oh
zZ9*U4n^AbE1wE1+O_Q9)(0P4JQo3zP->WPMFI&>pfiZNbZ8TYI9Yr|@%qeE1DXm#!
zL=vD+SKjE5m7XTCR;qMQS&_7AM$oQ{k`%gDlzes$V*19P*pl%TN1tfMG4E<o?0FSV
zbbEs(7fUcE`UUz-FTjs?_$s{=adVOox0(uZ@q8gR>meQwB-|bF9OYFDv3k@?j2D*R
zs>*U)wdNgatf)ql+<MdwX~7*C9XMy|Pu#9OfL=x-wDr9>Wu-~e%1d%|h-Zf$Oj9FX
zB|(+^KIQj2L)xEbN}gv%(RWiT(mZBO)@SUfZOQ~n@pGVFo(uXu$cgsbOr|)y$>bjB
zL{Cf|$$W$ZX*!Ij<@aoeIc7zV?px5;6~^>El-E6N;WJ-{6-oPm3=Oo3((>9qlyc>>
z9$Y`+8L3K?h<|~t7D7zP%)t0{_wb^A3jX+c4VP74!J$|27@2ty)%ZH(k$W8a_QYZN
z;!9Y+gJ%OyOhk`s*Kk7GE!;aR4P*8^K+fa|8ZXbmtP%M*WpXi2Y2oX8nHs#2)Qnws
zzG3~CKJ=Cmp##>Eq~R}1Q$>~O^i>TSSgS`RV~xpCWE2UC$I^+T_B2+)k-p5HN_`F-
zt$pA^ZkOlKhq`&RY1u*=(YA=L9$ZY$KloSvy#4MvkKY~5rtGX~^mWu!I_x)*Cbo_x
zp}#5Bgy@i+J-@?Bm!K)Zy|{I91NOczLD%#wER(s7Ei#vIP1#v2-h2|bM(@FSpEjVz
z(Penv!4>0Q%|N3*z~logHp&C~@U!%#u`|)yavsl)T8b;ju12fPTadZA8z;8<;I=S-
zOfe0?L*pY+4KMJs`9vJEE(Kp6Nym=S*_gSb5S{0}L5cEOe9r4uKa~E$)|;ZVHd}@k
z@iVj+by~Ew-jLdjM$?7!wv;v2iGG#?rEi-<Ps$flO3NzhJ-m^=ukxTh3wP59gZ=b8
z;2^!2ahRT&AEsAb2Z%Yom+Z5=sOic^Ql9BX)G(W>o=oQbkCrs^i8c+EOHuBxFSyFR
z2&Hb_M5}-xoLsjGyEa&%`fD+~teYp42t6Zoeg{JB@1nx%%Tsa{-PhzcFVfFF{#Pb9
zv_dO4&YR2q?8;}zoacWg`XRUJu%yuJl96ylud~p1@+zSZ91`w2az>b7eMvZJdaBU6
z^qFvSLy55J!Y84hX17p7Aco%#%A@@}EljU8!3Yx@T)5a7n|$ZsgPfK4*v=D=_8-B^
zv8QqEzev0z;IFrxDfsVl2HH2}W7WL3Skdztm0SC8nXV-5I-o>v&gjyhy9LetY)`jG
zvQ)=2F(chp^PX8R>elk1;1dDlRB(nmlA>t-`wJwc%kxY$u2RU3>ty`=I(6e!8mFH?
zVtj3vyegD5?i?dQ`#M^EXevF;)uylKTk*yE%NVoW4yE=i7q;gvXF`pYSlQRh*(bkF
zv1osZ^_Y>u`mRl9pCmkC{iU;5+x=OrX<Q~7E%lU@8<)YJ-1vx{+m_A-e|^9XoPEIR
ze0jh=lzYg28h*r{D}KVZ?Rmzw_XycViwf9*pkj7pTm^gdcs0AtshN#>{*7(d>1QwM
ziGsVVG`wD_01m&@z~Hkk@AEN%+<-B#SkDfuUphk7K^6|k&w?}C7C_eK<xpL{8s^7u
zguH{>V2hI%+(_FArxJF7U&Br)o9hMt^0$H~vmWN58`P|y2U-gNewU1gXXDJ_<Qol$
z<b|5)!{6B6<T9Qq@PK_hCzdVWdyJj<eF=MzwP9CnS7zl`b~4Z13z-FNx0tz|kxb_*
ze@5E*0Asn&n>iZ3k16_llsRd8nt4+i$xPgkzyyV*F|x|p%%g`TOwx)^OwzY5Mq;8E
z+vF+FRvT!sN$w`Bv5htRFJ&_8P(PEcYhK1ym2GCzp6+KK)}3T+2Y7Z}&Ux0%F_8^A
zoXRFeJYg$B^I6BE6|9SQBRh-t71qrX1xHU=a4}K`4KD-OICBid-<bfp5iIo7x`Nt)
zl`uGQE4=%<7yOqU2ZM8g&?a^U+ITO5c4Rbcu#15+Yhod=G6uv}o&)o|a7g$a1OhQX
z*dgZ$UKbX^<)afII+y3X_ja*9yw3Tt*b#PTusWN*b2}5d@IvlV*BipbnUbibHWuxJ
zW}({r)p$?N1FK!V@%r9<7@W2bU-j?7izd5q@f$DP6R;hxCTzi_o|`bkU?cu*-hjWW
zHlmjN78LpauL3=bDP7ggQ;s}Z>ih(gowNOZIhV(dnd)7*ajMAXb5l2M7EV>$)H}7J
zQ&*64V4A=*<3GU~nTvvmTol}{>=LBAXfmtTOkrkucrasJ_{^sCN6cVk1JmRs$2N72
zWd&1~vxCP1*xHzD?7dSj*$>hEtWks(xRg4Av)y`_Kk77G$Vmc`N+E1kZG>0r#5nmk
z>fDxL3+~^$N!(L27j8k>LatE6jhnQ61$TVbGVX`>d~TBb49;`yWbR*(4Oh3toZEhM
zBsWJ{gA1}$;?$qWa%;k+ISiEKqP-+IU3CfW`Z5Xb$p}fVL0*dU7f5p@elpzarz5z^
zGFk57T{(`2XmUZ}@|^fld2Ww_JQogfT!g+X=bbFWjqQ-){``>O&XX7y?J2^2{qhGc
zRQ7@9)o%E@@f%DxZUf8KM#z3z3r7;(!}&`UF#2IB1h&0^O_TFM_Kpyauzbz*D+7L(
zq{E(~yHMQ1&p<}sf*X<7V4iUzO!ycNeOYmE=tT_lh@XR@-I0)>6b_49L&5ZS2xQC-
zhP4g6S0(Qhi1r1-P5(fs*cS+n<$(}-?GzjtI1T4M1%v7OQ0O=l4zxQOhP5w1Ui4+?
z{&EeZO;X{?)Q9kTQZ~=YD+H6^a+rIw2F_WvfmGd37~DGqv&tm6Dp6U^Hbs$3jaTKS
zJk#L3zH4#5qjb3Go;uvkJZ<jDOf9ZWOM}Z?rplc%Q{swl$Z=-<(%cF=3GV$i5l(&a
z0KEU#4HxUbg4<9tG_9_KiGQl#!25E*&R1}6Y5@=mA!2_P^e%f0>KpHaM@%Z@bln7#
z-B;n8QUY9m69-Zc&-0#8p7U6K7Ou*MK;HUOU{-MwHe?@z7cz(7O3)s#pW+3-4Yxq7
z!#enOY$YfREP>@W=ELrQ+29^K9ZuCV@L}x~c&RlBjwp<W>S;E-x77+XPLGC>N#+o(
zX$lfQjX;Yv<o~V#oZ6=k;HM963k+b#kRh1gH-RUi7O*|f3c3RAAzpO~NZg(QR?&;$
zsrE(~2;2`ADuFQVd?ZMHz5+tA`*5X!VC{l;;Pm$kJn|fdh{Lkn>1K5<>zDx-QE9<7
z?;pn%DB5!i_D$gQuTJ0$Uf6SoC)se9S6Xt8SIoG^JqDb)r8ZY8tIDOa^4$IwDNam+
zzwVs=fY*{9Sj&BbgIz6<H?sjgkFSBwt5t9#umXHumx23%V%WC#1>DFffXpS&A<2&5
z&@v&+$jyP*UfFPH?K9Ac&4PB#ELc&W2_io;!FOR6EdHAXrG3w!j?ICt>Rfn{&+F~~
z<-yvM1(3S%1svN{4DpZ3z{I%%_IJI5$%P+b&;2@xPHcpar&=Ix@fXPW`3<a=cR}Kg
z9uObZ2l|J8gT}H!c>nkhtUUi09(Ml)<&wW}VDw+`QuqV@{sZvoTtD1!{RL+-e!}Wc
zKj6yiZ?NF}7r5!v3cTL{UUT&j`=ka$tUf@?)wi(A><x^1RLcAEU%@YhB9N$m4qHnQ
zls@J_z4SA9;Qkc0y?+dYM<0UU;s-E!#XX3Nx&t#M)4=M{ZP<M+1&+N>2JvOd&}Nhj
z)7fNL@iZBBgrz`M(QTOSkp_te??P_heYp7LA+#@g0(WhmL5-gf-n03jy!|D_bd*7H
z_FJ%jSq-}e8{mXP8_Zk(9k#CM0o$S9FvV^Nws?qg8JonpNq;4{2umsM%@--|nxiyl
zrz6e1i;&{NZb@=0wn=dNYs9#8B~dQfa0t}P2Edy61vY_QP<F2axRO@b-qHv|;&sq%
z{Q*+EDq(4E8H}}j1?dk8pnf^Q0=*pAB$5g4(vM+>-2<pReg_(RQa~>JCj4A{4faAJ
zq^!OS61OhG9McPs^7cIB<wiqhOC+%KBOv)-7<3Mtg%`8W!h_yW=;HaR7ml6<|6O4K
z4dKvJ7YTa%&cUqISV)V!1gC8i!876p%zcsyyKkk#=(SmJxFQd-dWvCL@;j(4sfR1$
zzk>XYUQlQpg69h*xWO_RZn#LEn?6#Rb4yp{h7PH7G21mbAAb#Q<2!Y(a*rDKWseH?
zwp)?gttijgHOp{Mf+V?5YGT|M%YSftLLXdo`vEHw+aXJ{3HozuAob!qNKJVSX<uJL
zj(a{_8O(*@{7ks`^bstoya(geQo--QO}O<Z2_We*C~l2|&ROT7ZdN3G-+UHa;)B7k
zGZ1q4yoi?Uqu|tk0A_6PhOYx2ppToNC4CL7eZ%wEbQi<qFjtsvH4~QbJ+fGXGpO`W
z0uP7rV4h$NG1iu_sNEbUl^DZm-WT4Xr3(@Mn&51#20MF|z*kfO3g^i}L%lS-6-vU^
zesS0yB?bmp_{<q=QMkKI6mE<agO}yJ=X*1s8=@==OC*(`<d6oW-qweJrcv;7_XIeU
z!sotzT?V;ly+G~1ld#-063W_=VCnNmAh^I^lSU07Xz2&rkusc)o;nx2&5%30YYaE<
zsvVbnb`odQHks2&n8N9Qa^h}CIdCW9Y`GybOD@jFluH>ik_+6b!7UuA#EslOg6mx(
z!AWKfLtuA56xnq{wR;CVUDOJazZ;>_;S&@ORKtMH2iRBq4!&U}%#yAEr`U36^?VKS
zN6X-BaVf+tDg^_DQh5ER1fumyVXJ2;Kx-+8o-G5n)vw|4qH^Fo-$2>b3SKi(3DdW{
zgSOTx7&`a?eAKF8_+bt7E~$gK@1H>LNCQ0VYXsq{X84@+8AcbifJ$L2<Xmin-_Q=O
zne8Au+zyLWzkqyCJG3RW^EFyKjQ4JXnde&JLU;=#Z21fZy3L^SppoZoH$ZvJC+PiN
z3x<w0;C}cc#5{fv@%(d5!}=`*?x}#ex#e(8>op|%m4e&fVu(8X3JfQ`gnNIApr)=6
z#xxXwv}6I4&d-Nz;dA)4@;UezJ_l3P=MX#oIdFl`dGBdH9Lvdvc{d8+fv^w^<X^y^
z;Fr)au^3tvOJS1AYk1`N1~&Uu!rrEL;IQHY2&$`L+xj{XX{v|LWlhkS{ux4lw8Cex
zFR<qGSFj5G21k0n!*%r^u&Cn)#O?0_`FmY(=VBK$J9dG4=ntsB&<UeAeTUm!9k6NU
zSGc{i9fmzx;S2W}Du)`O_gX#AFR6oNR1GJle}E^2@8E)KCHz-i4lDMTfucbPSl7G+
z(|bkWaJc|tlApu6w**&B5j^5@A;&QXQY5lripVoKVVwn`QJJvCCKKdjGGVh}CQLY#
z2~rwap#M7ymYHUQ?1dcYT`mN%^#tS7pTo|%g|KAwOE8*V0)ZD^LzI3cB)_bJ<B`?C
zZ2ttQOcU&oX$8;pFEC@=cc|Ll1-PsS#9DvBQH9^U4ru_M{Tqa7&;G#Mfj?lvzn&8R
z1Ghd7zzCP$aBguQXv_A($AjHqeybD2u64k-|Jvc^m=-W8YJ`2uKS9N(YPhxaJzVLj
zgq)CaIAB`}FWO(i!Y75W`O0%JyN(d{B8Sh2e+KftPvMVp25fxu5Ipb!tZ%#rMU(i9
z=Aty{jZTHCq}#CRR|+^sr@#ci6qrFN;Ol-HnwF%(%6n<BZ|_~0nsgtA1P`HOUIvtx
zWx_qoffYu1Fx*xM9~4U<FX#<OyS#_#<LkiRsTm>#U*Mwo50EYIg+~U1VA(SSmoA8M
zX6wbd&4m)&nS4o3(@lzNJ}SjYJ4<o9V<oxe7bLjES>l}SLs9N@;V_gJ{Q>Rc{jhQP
zCmdPX3DuYQbG70#e@-?){InWa5LyKaZEv95trW5vUx3T$d^kJ@L26t!?6iH#@8urB
znk)C=k-{BFyqW^9*WCo8nb+XnszhjxzYGVIFTshY7a-(93`9LT2L>w9F#BO7yiVkI
zfBf0uawr_e?+FK=%5d;Xj)0+oNVs1S4U4A6K<@N7IM@>pdP|ZZ)9WVu=F&i?CLPM{
zvOt!}gXEr9;O_Vqgx~nHueA-zdb&aL!ylNLBF4okNpsQvWI5qdMXu_PGFR51%1s+o
z<78*4bMGtEIEhqM?ry6x=W|7oThb-R?dg%>Dp8Vi*(t`=sSUx&S^W?d+67LXU*PqD
zW@xdhgXzleA&ajq3bz;Y|3?A*JdChz+B5K&m;qMvA3)QYH0b%pXMgOz2L5VSAiU}#
z$Ucn$nI}<@Q4t0!WY56#HK(EJl|Q5{_5-)}!|;2}J~$`26K;Rn3ZL88gPxf?td3X)
zz2g?b{(o~IZ+HfnIsnYS>I{A^ju2%&0ko#s!qIDE!NGM5v`(|&YZp_H=8U0!jUkNe
z)rTD#`jGT)B-py@^DGtvNPKMsF(zhUmpK|%7Fa{baR+!|!Ge^CE4*F03I@HsATi-M
zEQ>e;UK(+b?Uf9kXER~-suK7d(ExjkenI#nN$$M6GWTM;F85=TDcAbJlAE#BmWwDJ
z&xQ6(;BNPi=jQ3zaRb7!+|^~HIEA^!+;vesZhfITN3RvRQ_Ki1$U=fUraBCrMSXB=
z^$)1cYKPR4CW!T|gZ)oFz_T51At|gJdQ?i`-S?NUU#|#q&gX;L$~;ingggU27hGI&
zK+G^3%%(nr`$>FnFfWT|eP=;}e-<byKLeGo&mcuL2fRXZVg4e7fUS8j??pbm+*br;
zn_ofp`BK<0T+ToL-oiDv53t9k7EY)(KxTI{{K;;EuuUCs<!vXF40l7;yI#1>UkAgk
z191Q2AjGuu{oH}SknH~#5>)@f_tAgAiLb{R<bH$Cw_mXGNDpY{cfr_-?~ro;EA)D_
z!7b^}a3rb$IMq7%arPtJlB<Hshzf8vc@4(-#jx0izo%vuzy!NIFm)7y==yB9o0`c#
zU!Q<l)*~o6nGT*u_?h~xyC5Tb2Rv@2!V!O-Q^4PArXx~7Hai&{F&Rp9Q=qRr1wOUi
zhNGL)VDH?!P?UHd(zZPWi>n!s&e!js_T)mH=yT8-EP|qirI7Ty0^%D!Ky%M0_@~nX
zj*~igJx4dB*Y?3A^S_|DUxd36Aja)<l;G@6Npd~gq&VvuDeirP6lcIcQ~qX1a<Q>|
z?K(!BTXsm4`(-c;p1p(66xatNTf5<a`FE&Y)DHFh{nLK=6C5l12oZ|!Aa`RqTrDdG
znPo*V>USO#XXb*>r7Q?f$bcpJ>7b%`56q6Hf}~n9xV^a!J()?+!{;k!sm6mu5YPOu
zi{-P<&ckN=Xb6jpgiMDB$Q~6AMqXjOZ#WFPq{6`2I}C2j3y0k)5wJ5X3M!<}LzB@3
z2>pBs>Q^Vi(x@BI9g+%@XQzXBaV8ka<bi7UE2!N0mhVMB!JDXd2&w)FC;R@w@kQd?
zlM-pp{goUiX{E${e#_UPkJY$0`Rd#WF%2%CuT_^isd2gPD%`(8Mb2QnJm+9If_wK~
zlGE5L#<>msgLdtHI6boq-o<`_NY!R|nq3RQ7ph>@&2pI5@(QjjDS)j%gs>|k3nFel
zhWwoSFnTZ*q*vX7>YA&-9ZLWy_97@6#lUL)D3G5N2J?4>z^3d|aM{8i9xpu(%3+7V
zndjQii1LE@?tH(ycpV%)xDtF{E&+#G^WndqSunnM8vi^Hz*y1A5V4-;4RzW==$)}}
zCSf$V=bM4Ki80hY(}yiFx{&ik3misiz{BsV(50aQb!kd4Op4IDO%d)rQsi^il;FyJ
z6|lah4*B`o5aVJ1N*l~Ub*VL!Z*_vfRu>qyaDxsXPY}lW!I9##d|wm~>&5Ou)i8qg
z!*^hk*8#Lhlp9|r&wXgp;*1qcxJyNr++ds?x6{&ro961s6-hgCH!n=&er~km${MY>
z{pZZN$(;t=8dq&j>!%9$a)dl*l_JF@Rf%#m@((OJ+XF={-@sq44Te8Af~|WU=&$++
zzsui2_k#*(?S2h1L8WkXXEBVp{1Tq4zJNEyg<xG+06rqTfBbMhoVUw|oul$WlJ6VD
zOY-6K;R0yhR0yAfioltl*Hrkvf>M_fh=($$+g=Wfo>V}k#XE4n{~jb=tHG?h7B<Ax
zLz7(-_+@^EA(J*(wD}7(?dyP#v%bUXnocM+>w>?A-7x)SHzXPSkE64W$};=fFe!p4
zDA?WI-CV~Ud+Zv!ySo)d6hs6?1w;`+Bt*JIx*GujkuD`f3=rizzweJ(vz9uu@O_`>
zoW1Y+y7#WdxqB`5;=fWg=qpx}Yq+aYjoGbAT4sDEy0V<;^itY9EavuPsh5Q1acFWb
z<Lt8K?BWlc+Lex4Tq=#@lDY1jfbr-!g5#ojbS{#Ev%@((G?d&i!T4?rqK8``gN6i9
zm+HrJdDiUo^5NJ|Z&Z(XvuvO@w|jUKwbq+oS>7bt`rzX2%heA4*hdE79sZU*ZGze2
z6iTB>1bqXd88jfC$MH!FwN1mzDw7GXb5M!Pqam+|;*Vw2y#B)2xw7sw{l=7wKe(Y#
z&kBv-Sl(;o>is_$X#eGi(qFnC`a{1>jcm+rVAYpjgjoOJ>)&sz==haR4V9!hRq)T0
zQWm`_#J7DOn~&u%G%=HY!`@?hKbh7o6Yw#QVd$7hf<A|GA?O`)O%ke+er!|lVd`d2
zj(vF}`_9*lF?M0$D<{4;IihazQqE#?VChkNoD*LVaQX#-vM=lr_k!aW?OA%?fnn_&
z8Li@k(smd2PI051kq13j``~OD!0uJSw7n96rcNArjmfl<eRz>cE;cQS$-MMgYHwe;
zlkt<$$NsQDD2issmBq+es=~uTYBmqm#5SGg;&+GU;*5)$crMS^$By#c=&vFk{HG)W
z)+&hUD;mjqE&H~dT8@-e(xyoEFIk1`OV33&_XAcx)7aHtnl^`G>6;$GDS2OxZ4BgI
zkS|Z4d$Q5Vjf4zmlm<95#QFselWkE^vZ1A{tunPAks$SEpByt{OiXb*Z-Sk@F(-74
zcocC9A`RKx#gOp$o9GtZ<ijpQ&hEIyu(I2-t~Msp{w{`p%~+=KkQ3=v+}~%5Q|e37
zTDeixS)Qx4!7R8G%Zpd<dA2BzV-r4eaOe-F%e&==v8wQ%t|6>9wGzdNt%c(eT`_%p
zJMpYtdy%T!UNlW_C#+p`MbWu7qC8ql{PoZjXV<BVN%C9`ovI{y>;2(b+aE->tfs@5
zGA7^2XL7G>o>r!@xF&(2vVVAD8cOz%xAds<A*I-z+f6R?o9>9`Gdr#hcuK28Oa7Qy
z(CM@pOU{^J^WZi;k_`COOP}?3F4KA7Ih?m1M_2L$s@rxU`ftIa?Rq{9UCHkQOUTTa
z$NrtO@a>{U#E(hX*Nx>=+mUQqE%%xR$RV@z#=p25%U^b4->r5Wztx7X4y`y|sDbk&
zH8#2^b6}bRLGSDJB6oh%^B7&J=QpWT&*DP9-W$any)lvLdJ|KV_5Kcu*X#B^N-yI>
znBMjo!Fv0;z12H;#$V5LkFTDh^m@ANmNSs$9ORwtef9j_`s@8I3(~904c9yHGhT1o
z!%V$)(@ON}j{MX!*x!uk2Rh7n(i?+s<0xpph?swOv-8n4noG8`s`wQ%Cx>F|mqSqg
zPiB5o7iL-Q#fCq9#0r}cV!!4j@z7CE^z1%UJY7FiWZBEo#&C+L@Ej{<mJSsMBl`-6
z?5?8!#dcyuiI(WpPeaK06=HWUMe)y>-)yV-&a5+ESyolaq5hv4uUd}JUfH9I5;mPE
zW^`Q<ZJdjEbgzikmPPV>DdJs45e40gF<4&A<15AFJujx(tC&Ha#dup5b7XHZ74r9&
z$aD74_#&P@lJ{$20l#z#P#&63{D?d`H|!Hn6?3so&0+GRZ2GRwqQCYB)WS2kaXOui
zBi=LlODf*3DXc%A%+pm#l<FmNW^w{1|HLzAe;jrWv2t#I3>EuhSn@lXRrb;BIvP#T
zrfBvYie{Q^G^zE`oH-UF=l;bK_&%29{&AFq#Phi#f$bxc$iA1%a;;R>+N9AS(ut|f
zpw96FGj?P%q5DU=CFRoRXdV}o3gqm}Lf$48F<QBVm90vdQdx?lWf_AymD5h%B@a)R
z<F>Y(e$C5eO<2aqgi=~nmarhdn2D}Mgsd$@qb#4L>+-1Z$)&66M+VN!X5^U<OnQ|;
zpX~QIv`l05>=d3FBoUjD!0&PKOn4b9b;1~Sr9@F|9LbH{^4{AP&i1QeT#gLoqSP)-
zqh;N8D}=V^LKtWnf<a{ndk=@=Ga!r_op8F3jvz)~>L41?n7oT&=kqvPyC<-%Ox~5#
zQz>$LFK2FNk`tfBgq<JR)cA?gs|ECy-~XN&@~+%f&et`c8K_+;_b67;)3utDMm0!|
zlepDiSvT`5s(Ce74XdHsm}<^_uVnA3FANH;;NP4wY+_1CH!I>E1x(5KM1`yYHoVW`
z&)iIs{NHnZR4V7)l8Bs=z_`p<w%?F-z`{r#4GX7>yeoGv2*&(Q5N`E>Bp3ytu-Kn1
zdVaLo?#t+RK9nx^VRk<sR*v`KkD(7Wy?uGC;ztXq1IIrPAa2K71|NS%m&6d<kA&m5
zJ_-YaSaPZp2r*3I%HnivM`iK1UoKT$3outJVQOkQDF-Xr6IVlC<~R0V|G|_fsb1Y{
z;8Xr@o;f#?_Pvq*0gZH2ZRAl#1Ey2z*);7ZE6eJbJiC_Mt=0G~_=0<ja*7>`F&te$
zm2)mfduH>*EQ4Y4`yOVJgl?~RvLd2sC+{ttRiPBleaDHlfjAobv8K$M-FrNF-`-tn
zwy)Ww=!%%>jLy4Pgr9Q6=*Ua*-5fYQ*?~E_4(vzXk5LX}IKRYFaz4i$ohXiRA#lCC
zceZ$7lIu-SqCa0ozoS*NaI~kza4;!R{#@_b7n;qN`h2p-mGNwS75ek*h%Bh5tx^*=
z!xhCbH)WAOQB~BhY$i6SsEGx#(><fDCIU`26UQ&AiW2E3oqnVwT7=79<;)+Vy42%-
zt&VA7)dW;jprl$NwWEBprsQyScLo6tDO~>>&#(Q_oT?Aw%d>YBO3%Y{g%8%7JxDfr
zEqeqf`fPYfn<hIHqMwl*_yp%qmb4oAh$xQ-bUI*;_ojPfnA}Auo3JI&m?hyxeClb0
zW7cij{kqNSt48d(Zp@DsCXDTFif61DYF#au-^~(>4>pWl^+LYOPCR|(j^!nPEL(^1
zc0oL9?K8MKKcAm|pV>G>e*eQ2#28go5q4BvXsm82df(F)&oy<#Qx9EHeyy#Tf4QxQ
z_0kpJW&dH?r?u#Hua!9atc8f%-&{;;DeDMxMKNq}BR$4_=Y{-y?>m;#zkfcR)3fmP
zNy92ZYOU>}DKrYDe$-p}_wnUIqdTTuTru73NNBVjkEH(M`A60Y5f+p<o002g!u#ag
z)M?)2=oWn*CST@|`#ILv9VcwtK@635^E7b_+EMGN`Mi=tll~?3&3sNQpG{IXIN5p%
zeTIz3=fEh$hoLmzHxQHleR0(6$%QUmv0mMgj-hQa+0cfS!?d_NPLs{&)X{CGChKMu
zEL4^0Wul0ifdVE?O?u<h6>tntV9hus+#jgO^RPJuo|>4Yx8aX{CuSV#L(KUREbJ$J
zzOW?>^4iXyr5A`fYJ_H*6%k8blam^TXOC<?#nj>>b+VRzt%dQNu41xtf3a-M2;q}3
zPB{5Y5*hWA#ZR|MqHO$laX@{PIPN)E1V!`_)$UzI+l+Q%={{|-*<3?h-KZ*(q7}q`
z^Lkc0)Y8}a3$64^3DqfNwcaN#e$Qrm&kwBiOlOB(8d;?&lpRZE-s~i*S0>`~EP-kL
z60pgQXI*qW{fpvBA0mJ4sr1*TC(=bF36shs$p$3Tp;szrcBD}j{GK5rGVpcE#N&Tw
zOF*{NOFq&eI+q{QWxrsT&$PM%{_9`Fph?A?8c@QksuH4amU8oFDgViL@c67U-u5XY
zE3FjWRi!L<E}?l=F*>rA_Y5iIjD7(<hU8=D_lZ|ya;1-*L;3G4QkHz6(I$gdQXjud
z8lNpv*ixTFmmP_8D~RXcLvd0Qi)B|rG*-4z*qcZ4<3$AdAHs1M5zYbUFeWSwqohX|
z!#am?SA@x(_hB6F8jfj7IQ3F<Jry6xhBndc)Q`cXPaIa2@f74FvZE@QIbG#vxHX+O
z{+YOT&6f4}M;!A$kvF0Mr9DOLyjp_Gu`=q$R?zC*X96`V$!b@{sjMm*mRHkNznX7*
zs!3O?X6}Y6QVz>|XSVcE3o4j8ubd9oO6h*TnB&(A>Ax<Y4xK*nH7W<4{aKi`$Ykov
z_uQJ7ipRGkoE;JvDeHxpnK67A6@~Sr2&QigBgr;|l`Vovv<PDC;<sEF8ORe6fT6xW
zgZ}uj!O4$Wb3g6{`0=inKmIZP9Q6v2JAwmwv>}L<U4rS?Bb4X6!ddk#5~F|^nX8Sb
zwk`?B6=~#WWN`mbHam4b5%Q*hVR|LlI+fE<_J!>w)zsXtMY*bujJzLY@A$=^)Agjc
zYrt(v1BWW>SvItumrB3bdHe@K#&x_|UCYal)pQ(C$s|!h?ATH&TF72j_I8e!K9V>z
z3-hdW&fHFA$6V>#w~6O!bu>#0BDhl(%AWSY)NOpruvmZEuJ^^Qtv6kMdq}<9ovka~
z=qWw8i#J`^e%_htH%{yv=ERJ;S9DZ&!sM_M3r0DUve<>K39cl$xgq|z^ZSh#>S?}w
z-x$b_<-tTbg;TXThVb2qwDwM8$;2!Ib3Sq1u$ajMKXcKlhRT@lj5BXwqx2f}=PQcL
zBqfpdOIaL$t0KI*tBPA)RfV&^iWsk;B6@vO5?)q{;+wjHXm_oVoF~7?J6%V|-ZdCH
zex`rdQi|j|kX`wa^Xos5l97h{wj`RV#qm8jl8zSg`?(dwRcn7vrFb)Xpa)x@zb0~)
zGgGx3NmQ~Yu-9`84?m@Otu<ThEg5M3hz&s&Tpsj*N7?4g%rwKhpBeG-_fUC%j|(%+
zsOe+Q-HZ46`kw{i(T}i-v*Pr@r_A-UW4gN|IvZZo(%*~b5rM2f9!|PXJTa%zIcffh
z)RHp(PO0VS=HJ}bR1$Y|nu)m%>Y~SMO|hh{mbek6EtEo9i+aU2LYTA`oYfZprpunp
zTT?tAuOZ&<Qxi}2sR*5U(t{q@NbMV0!_TP3wXBRHCt0)I&q2c>oh3y{tePK-T~0WY
z9=s#*v_HyMy*MtvyL4q|YEC)es`Z@ikx$rb{aE_?56FLckA|E(#7L%J%hG@s{pJ3q
zq|3MsJ&*JE6O`5;;+f<(Oar!4b72$4`s=7kUCI6fOIf^j5sg;!7|0wn7tX{c4$9)D
zOO1URk$0xb`gkfEM$3JDAEwjSNU-JTY|OppldHd!2HkbsdAyyhWk;ADaES<;n|N2>
z!^Q6jF3p{}pX`rHeJu0;`N)KW)qMG_Afg9oh|01yqJLf|an8M`_|vAp2n!t~{@M=_
zDxpKf>Is9z%UJ^i6Z?oM(pwGf-bpAr=!*ZwX$k+Y>LRyRMJUcu5XRDjZ78oM;%*rc
ziTT_y&qne6dxl+3BFQ+G!*$YMaty)F@hxsOvK~9_jk)k(%X~MU-E%>)ixWk~FIn@=
zo)&XnFsbM{9tpO@YuK{F>KR72p3y;ShJ|-+Y3B7D%Y`p6+Tg(4Do2hgx^U^S8x!7o
zGJ3ZkGad$!Gbfz0dt&KTo6L`xOj^tL$5ySBJ%g*T>iM1NA-_3Lt03mcTCA<)q6XDT
zonnK!Xf;biINE85^;b2-=wfx@`d+e9o7IGtg{nAoLs{5NQxq?yzT<NA7k37JLpMhH
zja$p`P%Na{=_7f2GnqRhm8;_tD4r9Ig4EseVuF}F&7XUzUi^FO4IiZ5@@T6go%LU!
z6#I<s<DN)A;<5D5EXdnz&eQ{@?6AK>hL#cM9SsRSV}Ru~xyvW+8beoKW%f|%-7mdN
zZPF#yzP?0{-<Q}EaG7%oS9z0mjdgQwaCxU8Ml+3hTWQL^!xps2v8H6)3(T*(Feuua
zF?GQ>)yAP^n@R2aB6cs78hPL!-j=Ee6;lnN@2n+$Y3hp1n^Ln->m)Xv>MWLIbr!uQ
z%YQsNij_OtizjELj?tmD$lBIYcwCat!VOhnbw^P|FZ#_;_ixm${=%l&#mqdP%l^g;
z-oH!cazrfc)Fa^9JHC$g=cKL|cYC>UV4V|o0rm`;DR;`(SYsCSh|Jgb=^1K@<9B1S
z=iFkh?+sl3xyFxQ^6zVWmW{iQ6Lj?;b-BB#KDUj@n>Nz+_F4>7R&podUnbTpB<s*T
zrmmSozWYq3%lAdMP7mMu>0Eg;oo?ggNc<<@sWp=oFX!;od;$HGmZ8*h9Sa6*r)bGx
zuBKgN%W(rvZZV~Qm=))29WnUr!zGU>f~-Gq@W5wEeEx8uK}{qCX^VF$9faD4?n3c$
zUvc-=Kyfu~urOFPMC=?fSPZ#8KwL}dBNmVEA>QhC7T#`>1DPZLn<fom{6q43lNCk2
zV?A*OUs<hQfnkqA?!U{yGCLjTZON=(62}j-NDKyr5}^@9=?MAxJ@jUze2>xxy3u-x
z3+p^zQNC98EW(~22kg)(wB^~eXXLp(#iZ?1zNgp_Tx~=1BTwnG=^6Ll*%I;4PU^?@
z=qETbeT)lp`n{2}E4&DG^XK}kV7{!5WWlF+T12KXyFMHLHHBzLR-oUxmafC<A+3pm
zuS(+nBUPc2swNDK)Wzp_8lret3o+$-3vr}d3(;e;hEOVRF3QHK3F|ScqFVm>?DGmj
zIqo<2_Wj`G*BaXF{mhz@Vy5rUW2jm-=Y8K(bt4JY<FRa$J)M?YFi#W%IdIGePjwG$
zf?eg_%2&*IWY05yssAb3&}pwF5e*jfb~ESB9aCOExWm=h+iV+ZNVj)4sK2gHoc>j`
zf-h4&^%C(aa&GpZbF}?)h8m+Yl65&l<kWL4x_yCRjh9GWd{sUN*GbVbWVDqrt<}w_
z+x&><?oXx1=_q+tcamQO!pA7QKBiH4CLh0(RXo1&n@$5%gvU4y@yuUKWL?u0_jYs;
zC#QE7zkYWSBQ3g$kKMb9V@{og-{y|u^zL?IaCI9oUa}}t+O`lEe>D?_J}QZZmw!l3
z`%b{zDmrVHvQhFbUROV`QTF<e`^!3dLnJSg<#%*00JZhrY~TBaANI}+)RMlL^>fy)
zu#v2(C5J{@FldDtA0L}AS=ES<cW+WU{W{^TuX0@N5}7m3Nd5g7OUw^4#di-LV|S3P
zy@j?*H!xOd9iD?%Q<t@ZQ{9#`QEeI34olhAX&LX1FDEr~C3Ci~#Y=A^W@g)oHQLY5
zbth4`xXeT=1FBO^Bro!a?w#y#o!~}Co3|v5iDyAX4h=0TNwEEcx4N3xQ_@PD>fBDK
z|JOzA-`P{heYN6f*Z#uVzQ5S$-%otM)<+E0>nYZZ=qijYI*1d}uiE3=O610<3kMZd
zarvZz7_j;mi|5s#8!A~C|9qwo%*H@TGB#5ZX_R%k`Rg!ZvVv%s<B!)jFC4PoaJ0dN
z2miie{U>|g+CFFFlc!urwWdxwAtNgvLgoV!n%!r>c{3L3-J@oODHp=-(&ye?;-c@$
zT^Ob;Fulj5@#bjkc|hZsN2ouuVwc}jnGb%!d<`eM%zH!b3|}H@-eEQ)n&bUb=y_2x
zIDLwxo>fJMd%x&jryw>jQxzI>)P<6prZ73FC6?ciUQk*a(eghXk<eF1Y?;zV4EN9$
z4$oVOq5U;QhZX9g-)yNPXeo<t*P7U!{fnCMwd|L5UEI`Sl<RX*mVW51x)d^{4mRXP
zBx4C-S+hW5zj;%t=1wzQaI|{K$u4$`3$P*WtflnHEvR2<M%5t`9@yVzXM+KyyY%JG
zg3D+QKhHv!6Vz`xgzmyU6ztnZZO8`tELlT9+vOZ+yO`tu&ciNF?te9eTe5CZ$(NH2
z^~X_iZ8Y9xBUlzNjQK5x;{SOt?t2FF+-5MJ?1!NJWEgK>jwGOFEZ3e*X5BZzz^>BM
z->{0xhHY#cdz{Ap*SIMu<@E}d1nqSs=)9j~_v6^{H<#+<THaq*7Mj;uihh6EiN@>Q
z#V?<JV(-KuA}o5iC|*2Lw8|PG+FK42*GmS8<c|HsXNw*}>uo1-CRJDL)YcM)57kA;
zRjI+aHnCvvPn-@_bNyf$`fUqXwj_tTRv8=<DGZi<tWQQXIsGCK;UVa`1o1dGfaS~m
zIMGV#XPRCdUE;xN`HbmHzhX`FYb-{;W@VMD^i*82-SQgk-fo;kp11GZNwxK4$QN(o
zANjG-HIODb8m&eloOxrSdE*;Tm+L9m-pb&LZw|v7^Rb&+O5ye|Sg!kuuIdj4{L{cz
z={vQsRS>VfD2l>dCDH1HvKTCDoS3`HBDu4&=)OWpbeyFq)|WN$CcTlZJL~D_^qrla
zU)g6`$%7^3So|(xuT>t$r{(abID=w~RN^JOwnFk-A$=ps84-&1njr4j__JNz2NQD-
zTF-H#sk;j%lC>WAuVgJ;?3ggsmMDd%I5%4JX^hk)oF6l5-y=efKV(pn1wSrZFwoS3
zxy>Ik|I0(J&VJ0%?p9b_d_rf*Lm&EXM@9!nB0jn>e6|N(((h0D`Hq4SQEdO5$YkwI
z#N|Aeb}T2<N&1T#4NPoO5Qko>hy@jDBFRxhOwQC4Yqqx%JLhYO&4yaSXMmPCHma4V
zl6}D3I1N#7wYjLPRTW2vD2q8Lh<6to=(Vek<%_D=t5=5Q+yZL%=kV7font+cadV5M
zkJOHBX9x4*p8%P~^k!k;8@3E_p(*gCWa#WTI{PU*rdZK+*+b46nsc+@E+^L+^X$7J
z7H&7_YI2QHrk9z1<UEa<r!e?+L~_3eXp_F17irtMIdu#Fb=t_;6YCkaQL-$Bt0`=^
z8XwKoZ1}jEcF))1dGS9&O*eBwc_+tz??=!61Qw4j@umDasjG}h{CS^CnKo1?I5Ba*
z4?S8$(9bK4ZDWd9JEo2e{gi}Zle+k}p|zOtyS=D4?kcQ4^%UpB`UsoB{e;X$h{890
z#L1q$gp+MIk$Jk42*__Mj9a%B{l`icV85EEOH>k9-ZwJFpib`h`9koXV(RYXa=&LL
zn(b2Puq}?2%8{J?63niSf%MV$A$qU}yER@@*UgC@yCe%y{2aUcPjNYCjf2Hw)_t*{
z+nM|1$^LN25>v)Xrt0IwJB0T#X4z&V-ZtJw_s?x6?lq!diLvCc?noW#E;A>Yv2X7K
zGUh)fz4!?_!cKB-uV`BFhDR;^aJ&}6YsXk7?08SXy-)m5t-x1ms*#D3{g<q6V|sIO
zN<J&GW3)x@ls4k4wXRrpudTQwYqUYCZAH~n9ntn_YoXO$OEgT-6s8*L;<b~i*fvH<
z%-sHmfL%YRkb2AM=rY9Q0*-&m=9%|<?t~_iuNcF_Lt&Er4&vu~U#cTL7@Y6Qo9>eR
zzx)C()n|-!w4!YPLwpyT^LWu+tackw_~a%wHTtw$cZL3e=gF@-LAUjX@c6nLLyxUI
zwEd5Yz*Rg{T1wiX1(I)@gKi|0I!~e8e>|}@qu9P+7=8%@Q8*>F$hkc^OjovS?Z{`>
zw$u)2Lupbg3LIMy;@6zzs?E4!qRg$Wirj3~q?e@GsF#;ruh-)7FTMJMzx1MR)a$M6
z(5Ux*gaYqYDRanK?k?Wm5`{orjDB_{V9P*KmW}63zqxo%Tu)-fQ4%9=@agpf+J?O3
zZB-z}&C;0W^qFRTl|-FEE3xiUC$a5hU(q9dnDEpYCuYS?5{B_pMDf5W!g}yT@o@ea
zVc%((upiW4bZYD_mVE0VR?7T^!#qu)DDweL^8YhMqmcyZ6&#POB0;|#chzF4Gv^ak
z@R1vBv$^JxiNTw6qEy~<{#hy)uBA}(Jeh{SN!*fbR-YwFxalRa^}i(U*(Twjos7z}
zWNMeE@StBR<vMA+>?k>iG3m_Sl)<TonM7xQpg{Vv^Y-L$)cGTErMV>O=Fw$DK3B#T
z(5+`7yQ>TN$Et{)1B%HtDwY~kF=j=@%u6d~o%Hxj<o!HG`g_e<7cqQJA;UHlNFOL4
zjY)a5RsF=+z>kD%&!MwYHkRfeFz=no9M^PmC%@-#Tq=LIrm#abnG^1bd_0uEXuWuT
z_KuVL+G3eCDu%_Iqve?!#fy$n#L0WVc4Z{521oK=zepy`jbx;0B)?RmsI-Zq{f=ll
zERUh5?3v47#POtg0!6nI2_BJ*U5(T|qtY1Ro{s0MOu36Liw5T$f*o_Y_Bf9@rwiyZ
zwTK0I#d4orDfO?)q?cAM_s~>Ozu_|)$)EY8`i1^~K4awl8Rv1I`E{;>$42FB+E<3L
z)StrbiYZnvqH<9IC8zU9kmtxv^Bhv|WHIS#CLNEZb6@Jgwi{At+L*-T0|^A(jwAkU
z3^&xG`Mx_6weoNtNtW~M+)$~zg`hPh7~Ny<Q2P+X*8M@;936z$&>$NB3u076kYs+|
zv2bRv-02lUxN9hZ)51}19w}?lXtarCwqrb3<Z}`CCk1usD=H>svL`hg&FoxCvh&#!
zQ$+Y9nSY{!;cvdsyReGgF*QVOti{Rl8*9$h(Y&#aFP*;AC##NoQ|fS?{f()AztVh9
z4G-^DQF-nQqsLTW9#o1(|6)cQDPW?*Cq5+RAgVvmS2F|e!D+l*n#@D}1eQg`;@T~m
zF}EX_rW=O3UodZFM&s<>KsKKD$Hdnc(c1_AKrdF^_QcTCgO921R4$YHWIK1tySdZ-
zusheZrG}^AiQ5b>Ds#N~8t+SF`v4C3z2&J#FqX>U<UEU_>{cAzy^^qKCmC^@4`|QG
zrJ_>$k4B{|)%-%_iW*p6hxqmrl^(yD8S{rfMNOP?R}km>DvEY<6-7c9MWJf1AZBMY
zaXtSJ_R=#y?DmT)v+rb#u4RB_6|q?r9Qa)#`R76sH9oObBb(Hg8N_!=rSG^znq&^A
z#y*nns$p!o@QyX@0=b&#%TgyVrntJxn*KF*BVDlddPUMc$sw<jCjJ>av_IG~;?y%1
zuYbx#LmMVEw_#286S`^G(E70rzs#QU=I=9FetOQ$DfYDL>c|~^XUtE#@wUN}KFy_O
zZS@XE_Xr%P#&c<q^q00~qZTjy%~=&Zvj2)^jI7<SG+~#bBw}Rl?njiG7-p<43Su?H
ziSsSQPTLkjc}5Enyj?>q>!2>~?p70<cdH8b{>tKw{G3*fYh+8>56V`2#W?memn1ik
zBUz|HYqR;FCf~W_B<A_WGBq@UyOqJ@Obq0xgAX?*dZ1V7N>u18HU!$UHp`X?oo%qb
zWXbjx53vj|$IRT664?V^2)~U(4@0^*-Js=OeI{<cD)%j3X20qsg3q02z|FH9pMHiB
zZl@Vodm8HwXIU`yJf5;go^|R9-8SeG++@Jl{YI$!n$oVu0?Y0;=q_=f<ux~2digU`
zaym1jQfR*U6K`c*>T;`|vMG|w-k~n$wbT;rn{<Rus}91hU1#B?)Kz4}b`>UPy9!U4
z!;rI|#VMWk;^lK4(K16z98GE=w!T&qXYVMBl}&$9?evrD=c`d0DgB&r`H0(D1k23A
z$c_o@n;peQw-A=B2t;|958>n8*?-W5l_@V-w84%$tz~^tVToy(1^YDQuC>K?Y3*ag
zl^KSNs=bbB*j3i}U!slcS-y`sK}?IoWXX9eyWZ|3&2B4^-#4<=dp)PWuOTL26?40+
zWOLsY%=@yOB?c?#rMn7kmo-c{^&fXFw(xGkZl35LmK@AkZhXDUxPiCWbMGD+SkZEd
z1GBDq;M^hvqc=(9&B(*yNDVjkDM<dbx%kvuTWoCGUTkaLRV)bXDVD4D6|1BA2@kdY
z;^xP`;=-xk;=67SG2(k?p|G~S=y$%2_-@ov>fX)8^hRY7Bt7OH#y`lhuA**asm%Au
zvoz=fe_o`L`8l3L`ceGd8_F+>w`i*Q(dvySS@+$T?CwmW)HA*sNe_3v)QqP8PfM|)
zJn<1{4_WYj@qH{0o6#xDl=;SY$-ig9zhCc=?tF)%$#<yPCVTwDcj>Qmk2^igC7bmC
zgHex(n)HNi^|p*X{*s|@T$%pbi$QzdG9fL3rmRH%+wy^^nT3pBR!QcHpJZQG5Z;|t
z#X;EvhnH)Lmy);HGoXz)ChM>H3w4Fv2wib!wT?*4Y%RhiKh=G9OX0OkL&VHe6H!W%
zFO$7b#Hj|ZxqV}lQYCsPO30M=az*|JT7ODqv8MDNcSW(gHiR(yK-{nUFw@ALCvrBI
zu7)FB&fBqCJ}-B|EqQ5Sf%8o>{2!R05prAh$~SS9J#b3lWvsuRWB;NPEd6*8cdOlW
zzOxnK_8(d*t9g23DJ!QeB%{|{dQX{w)y--2XgLY(XvtB%8%f`vLy0*&hymmJGjo0)
ztbBWN^j3Ft;=3~5s0({OcIHY-XL{*(VQ!ml<Uj7g=70JyZ|*=W;)YYJJ%O_;1v*8G
z2vXTVzRDrK-@k%-o-v>5ESZ$+#M?V>xsjJlp7aP$DK~OGx4FnZq9YE?>nc(|_Z6YV
zL&T`uk)rs?7}2x$SP^eLTC5y7LJT`PSX_(fD~4Ni7jZK?ijg`x!f|v<aVJDgT#Zu_
z&0aL}#imZ~?yO{Z>r&#^NUeWz4j*hYB-fqFtk^_cj>O?5*&!vF{mEY)hT7y17E9J$
zKj|%#uLNR!Du5Lp{%jlPPYVTqoZ9%~a?qcR9Rf&e8A#ZYw`|Xs+0CF}x|N6GxITij
z($7zB9mk2eiP*hK;n(bR_BBZT_1#A_Z{;&^zGSFs%J{tZ3w@lbY4fa>V=_~iaPlXg
z^y+Ccm0sEI-}I2W|7>fS!BqTB(bszRo&1Hx;~$jEp6@`#SJn=$#&O&iirPu8^?flO
z=L#^B-edmLY=%e%a@N~4maR&r{7<~R7h`yNHIk~`VRYFS%tRykTqjA7Wr8opkzQn9
z_CRyb8+KoP&5mRjoK`v0rIQmWU0%_5n<LNbUea1}h09bN*=^*=;-jy~^K-&wmkUXk
zUSr$Loy(0f-?&x!jFaSjcQF{#ArZWsC>gBBNz!Lc=U0~;^mGf*)hc7n*GhD(zR7&a
zFD9h_;f$`L__th19NnlQj1H=bt8JT!+e?~>4!xU+)26a_d7&bf?NSyW3lxP;PX$r7
zu91rVzu4mYjeR|<$vjZOP?uuj%Jb+wNa`NPGkBPi!rYk&ER|Z?x})LT7#qw}c^6OV
z;7j~uPlB$valOhJr%R6HPqIg)`*Vg5e@fVXYfgTA%$my&DOvvj?PKOFj=hKDPE#Uf
zzw_g|36t8Jutd#7a;qj>7<d;W>4OZJXojMh%+1_<$h$sP+&b`-9tU4AY>3RwIJ_Yz
z&zH1>VDz`faLOQ+mEAsavay7=QcqqT(!j6|N}|)bW};%RhL{oEQuv<H7D@Zti2W8i
z;(Wc1aF_qyt=~puq-l!^nVZp6)D*+osEf&;WzOiSk{Dq4mk-fDDQ)`|?ei6kkTvQ8
z`OF#FWuWDkjLDx^st-tSSTmT1Y5oid_hMI$8#W!BnJ&G-EP3_~v3x??4UaLK_JFV{
z_xP~t4&CqE;z#}sk`_xXAXEAo-_OwOz%jf#9$>()os3c6Le+xxIE1dGY5%_zE?9uW
zX1VvlMR0!1G!lMJ#OL=|B4>``PUbMO0|!&sH~`}({RnjH!&Av<cHh*CX+3*kXW5Ic
zRlOxI(~m8W2C{tiFs|<%LmE?<t~Q$~P5(0W@Fx1dILxrxEBx^==G-VtE+2cvox=fq
zS54&0mjb@}{p9BUX5yjrR?RMV5=nh}3yqnB#Jp?6MXOh%#5w!XqQPvG=;}3GjNLt0
z9FW?Y-iRJzltw49u|`MOw`(O<Sv40CX3C<A@?R9?WaE%!Rou2O<*0o=d#C5H<G&1&
zzNX+HnX+vQV)1H<WVWnD_bv^gyj<4rk%2^3_*1e}=I<1I396G!_Xuy9NAi+8n7wH6
z(u>_4y_qCy+8y5{1HQ?R&3$C9Yx-L%UcW=>WGGjRBe1EBCf+ih8`qN2d-9&;c^~L9
zF_*Rv3m7T+5z+Uv^jWG|RZ&aozdvwVEVKP-(${(~a}RTxsMk>tjT5Eb++IOEU*E(D
zwZGh+*vLOk^=Rz)iQ(BgHcC&;tgMoiYbuCxERi|S0u0)HViVbPKahce>_yEA6S+4w
zj(L_*=yne0x2(OB_Pu4sEPv|se7Lg36Dy}TX!m+eQn)iJk6)o}C;gpLd#rc7kUEYX
zX9ho~;*71#yV$a<l`U!i*<#&F{+j%~awqBey>Q@2$5#jq7wpfu;d#VU?j-hQZK?EP
z|C3py*)f!uCh>D*2LEX0(zjVL=bJv`mR3v9#(I)ZH*x!dlGszIA{=s>iS!N4h4~hB
z@x4f0oGeureh1aXhwIJ7eVOy#E6<fj&y>a5lZs;Tl)o}RQBQ~7b@VH$;)6vw3l|pg
zL)Q1|A7uY5v*f${B<qqEL$YQB8ry?uDfLtHQ<7^R>w%f>YlgLV!egofpADW9TrV>&
zcdhun<Pl3IJz)G|Grq{IOe@tpyn1z;r8f=f@yvkKhU?^7=yUeUHQvhoGcQ+MW%81%
zT=cn$(Zg#PH0g8W=M4_tG33>IBO){JlJ(*~0ShcqdjAZ!*^c<wzF}yoKRcBp=$)5D
z(drxuCrdWqADN%(tRPNFUR!r?3vs?&OB^oO5r3LXKXgP#abiU$p>d{@FmmoFywp30
z2d-^}dRQBww@*tn$*j$@ziOgO4;A4f6r}I|3&ZnY@n2NI(k+FwlYDZg73qYJNaE2y
zF}!^o#`4}lc;@(G80JBChAS;~<sBh8{%wDsQsZDn2dSmnNzd4L|6RU5FhV=;CJSd>
zms#N}oQt`@{b{FIQE?de_`Q5D+m8E`O%zA3rRMGmyzejJb=G|TZkmJP&>0MxHC^fj
zlQBFnfzBpl$?7ti!97P3`)W8N5{B{Bau}0F3}@!^5hQmU%~P*&q}WZSa|c1pjCriu
zCbfUxO_Do0$k}U`D0pW`l*xT^l%I3EvpaLcL)n)0o;{5+w;bPy?ds+tw7#{dE9@k!
zTzU!X`T^p|>7k-nafI-=Jwl9_G+bPqKSUI?A0R!_UgGekuA<wm_TqI=YjJ<DrdTCs
zleo83632%9mJHH24%mIB+m|Aq#OD$*L2}UD(x^Nrb>iNVQ5_bE`>jy6k9kM8zJaV+
z=ZD*SZ+!20l40)7fRAqM+54Iz;mV2~E)-@u)6CkLqrT3l4tK#)$(6?Oa>hl98<*d^
z%RlEuvo5}*%WT^tt#{n-6UOU@QFPrAPv;9MgrsEf<KK_ml<)k_Q)MJqR+2R68#i=*
z@#c0T*QP0miKU9de7v%lKTt(f_^60)#d1!|8x_&IkBX?#Qx++$mBd&Z1=0G;A9hb_
zVE42iSgF?%`Kl84QRR$wlpJ-JJjzY7QP;{q$ufm;lKmb1O|p-n;ds9eCe~kO3rl_J
zJ;sZQ=Wpmd*%h;2uUPTPfxBPr@EIv{ozHCeJKGxbUY2y9_=wMP26EH@IiFVZJ|WZ0
z*%WC;cgaY`{xl=PRn8{)cpr;f77Pt}MEhG-ERue5;g9F+a(K!3=B`+@_arXWpJrp_
z_dPTgMTb-{$l?6UVy1qoqW6!Vq{<A)g2O6eY|rN6@ZuKYYf($FCrL|KsI?YF((_uf
zQf4PEXp13jv_xp%mSRkjhU^2Hi&isL#r1JYBBIA%R=)j7{@SmMZuXg*vC^}6lPkAp
zWwPLV3JJ^O`SUT7!6qS6qYI?xULSVfmET*o3;X_Y<a?$a_ijGr>{=@n=Rf4ZTG_K0
z++~G44;rS+b0O+Frw(4lV$3Dpk2r(E_+v~ve}G4-yJePlD`BM@_%wGd)eS4CQeKMY
z-bFHpKA$%y=VCc}Howly#CpRFX4VRF7R;dDU?u~@XS1NsJQCs;;a|BN6OZ-0Ub%z$
zEsii(_Tk588E`ZAE*lFi`TXBYI?R`B+5HHdbTV)`UnY6{2F8z-tV&rc;o8tn+|=zR
z))w^^y$22u&VG{FF&-?o_zx1#4h<0VzV#8AcYBDxk2;H#745{QMr|=RpoPeAYbM;P
z6~&>(1}43&<=^g~8P&E3)qApTlHO9@S6SQo#gUd1iRt1{Ts5UurX{(rW%7>AaObea
zYX(1X=3=TNhZi~Eq5gs=YR~C6{~75SHYB?}A@-v+s++Bmp8%29tQkG(2`84=@U-M9
zUcYT+hU^740h0AO>dgB<HwIZr21F}Ba#SJY+>4S-d?M@0(lId1rPuNjvbtB15h^t_
zoj;_@pMAk!6>-EyO*Di_&R|0eacGC85Fa#!nV+0p)J9VrsMHWE)~bsRd(=dWVXES<
zmy$T6E6;3)20kl)=hC8Tj>yd7p^8GO{pJ#wAZIV^Nu^sq$qg$<(?&TAzrI28Jn%z1
z%@c!-Zn()T_=#Lu&&lkjLYWQ2ds>lsUTQ3V&H4AaDH@0F&~58&MqRwg%!uoFO}fUW
zPjavB!Hc|;tje8!r`X4FQa&GH@R-A>3_ir{!h>u(atMQ(!#JHf#-jnJi0pBmKax#Y
z>aS0&u^~-zR!MKo2MkZMX6b9mbUbrord<H%o=36j;(Icc3sI=5k$L*RjFmp{K~MQP
z+-M`l>bDmz7o<k;Z#Qwfyt}BJ(?eW2-(7e+b`{SWWbJ0vUQ7+w5#z13#3T9s9hJO6
zuB(#R)#4B5)V|YhLnUY0l(4Y(CpO>Cr1{(wR3(2hz&ZlwA;BE{;ZMU4FK!QdLn~uh
zmvon!TekdcLToThw&bL`^z(L`6Y}-0%+MQCc<vUimkp%mq0e#29DK03#IDG5Oz=O&
ztG@Dc(LTaygM+Mpw4Y5Y_Ys@0mvbHV(PjRAW?Vjq+-1$S!zXEW@I33zUg1Lf8}xZ{
zo6CLfankz{d0TBcINX`h?R`kp4CA?ER)ux0WD37vG59yLUa1J1{Vl{Ao7SS8ysLj7
z>?~Tib`uYrdWga;J;laPJ;WBh?jrAX7x8;bM{(Y;tr)nvwb=DTQ(V8%TrB9TBF2R_
zG40MzF8Ec``kyk=C+2g+Ad4iaLyeHnPUg-iF3Ze_smvmdb@gF=fjb^^<awCmNR!N{
z?J;^r#tUmaD<1K2^#g8yy~h?$6SmtKp&DvPZ*2pqBj}SVt`a%yGSgfxaN+V<f(lMC
z@6!p6T$e0*`7y@Jz0J$VpJ3s?r{rGevlRWf$osr2<Vi+sbiE-X7n{)L!F^ulT9GjP
z1xJis`R|7>KC2~n{4kj}M!9sU|17z@dU~B!7FR#2i?xAT;!=UG(C^YwY@XFc{5Pwc
zxY)M4C=2Q)T5aemhPLf2>|1vb!>>sFMe_RB_G^lo5zWPvpE4(H*Mx!fPg<ABSv3Y_
z?7fu#{~4GuGW*`NB7tjCbDI1;1Z|r@u3h$#c}6);;)4q%@*Gw!wxjvWr`VZE|Les=
zMt?GwzOgCa-x>2}&n;9Z8;~(dpWVx@;5+3aR|lVwdgO723_Og@to<^dC$*Q79kO5E
zMxn<RzDZAX*s#q!u-weFpIc=9V>@4pcS*KvKVd4z&?r4ieZ&>|nHunL_Z=Q=e8BW8
z@_qi`$m=a$7;1;&7na1KMW6V%vx<A3e`vq0nK)+BQh0XJ6;mTSib*TGiH}x2#U}mU
zB2~SQsGr(fjGfa{3|-w#%y;~spVdy7*0mN<i&~1=FPjVFt}5cgsV3TX|H<-k)m)ZZ
z|4XktwA*IklaeY~=y+DokK**t5WI>5`KIkl^Wz@4w0g~+>{p!nV2`&vV;^s~p}WjC
z{%;Y;xhMCDes>Ssc6TwhHO6MoZHx{Y;_YR?q**sm?0KEECHm~ixyC8U4f+n!r%v&@
zWNmM-bN)>dGj7qN^&NJp-eY{o13oOXVpW(eV>-R!>q>W49S^`^X9O8-lc`^q!+iBJ
zTIPMj`hF7{`&Gr*ml{HMxt7qMr6YE&ZzrB#mPMdrM=>^2*1a7&it#tvi@kbnMb54^
z!dlKsGc#`?3_hrdZt8M|$9M%1Q~Zm&H@~ueM+KL!6f!q2hY1(c=_Wn6#1k=iM1|3B
zaS(RR{P^|RgDH}iC>rw$pL;KeY4?o70ai@8`j9X3jM;neF43k&j7`1Cui^6EcDTak
zQy19x{v`W$9;R~WUOWbDCv??DHu<li$MWUW_FBx)f%AB_YZfkrdaSgX!j^{<xR^7B
zJ^Mz|b;&T9p&iWXaRZsKxId%H`(oU-FCk@ps65kG=85{zZ0SIT=MLeW&q&;KCeW?F
z9_l0KapTxZdQI3)=g<>8ank4Tqr2>!{)F#OT{!I##K}b|wCGntQcMGl$!a1}*1$6k
zbrxg8dJE56gGBJ*;o^}PC9=Pb5><91ML+9dLS^zGVPD)w{8jEQc2#u{Div+ShW;(Z
zzhP>^M*8sWA2l-gNF7}|RPy9h370SCq2E#FF~+7dD=e8P$&b{uh@t#V1R)Ng3@(4i
z7&$wk!}I_&WiQ><QRctqcoR9qi~VaosZQ~be!K_WTs$ag>&cB2Pga+Bv2vN53DZf=
zDw!rVynwgpn+1~<Dl<p3qBx=(N6Y@wPd%DO^5;w{E`OwNp8|FSmB{&CpBZLcjpBoE
z)Xn@U&#DG~&-#PenI@LqRuG+ADvChK)~=J8${&6TqHjwDabxOV`c?iWV0=B(WNzr-
zhgx<mtY)V9XUYRgsY)p1ahmk<-)EEeA%n3cseEfnWW(S%`tOV4R(P1q=>&5rJ`i!)
zk3p-wab51gO6l!{M7a<=%ZZiWUJ{ySk6ESU1$fRF+5e?EJ>_b=4R%v(P*$)Zw5tsp
zEp0HmB2|@)XH?ld=XA*n!ku4I^;>GKX|hk9<VnI{KL)=DqVKbC7Rt|J{TDgoNjHm^
zNAhJ(w~RCY)G+<{Pu!;c#YSd*rzxt6@vGHD`Dn>u+|&?B%UcL7vlgP;f)?V9zJ@4U
zpf1Kr4`e}*s_1N}EGoOpexd6h`b7N1cu_5#qrPCOSIUEseEP1Gyt-lr>m!rNe-+2B
z*OBO^hhWn6EqXV6*{I`5$B@@DpYB9I0|#2kze9Ys4b3E{ay$4TyZ7IxMDHHvQ%zXC
z-H3yJhUiZ>;O$R+B1^7Pu6>2BXD=~l<poA9K1a8jGt8cMh5?7q@Z!u_x?DWZ>jjsj
zhIs|G8TyQfGvHWvIY)b;DTlUMpn2p8MHlQDZ~U4oaxTU+i*O$7PUdjQM_Q*>P+a|!
z!v~baUa1dNENLZzSLle8^X<id&pU}%Ze7H7tFEHU!LH)dlrEyrfKI}GO?&aTQAa$U
zqAh}_X^LmPn+q!y6%iu2rbSIZIk&!sRn29Mr&_?vr7}PLC5?A77xwd86q95&Fz#C*
zyTW}~66MaKdKWp5%#l&qcBmRW<+bbyG?zYP%6@a~U&+2&)0p2Th7^pyfwIyy{#0M$
zu<AK-Pn=-S_`_(;--o-`P8MF;N=w&`+@8N)demz;_G=~Wdasak1DBC_bQ!xtm+}7B
zaych&759wR5-@6`>_xVd`DY&r7f;~(_YxjyH)zVZgLmhLXgS-0i7Ryh@?Gl`3um)v
z`?!L?oqv-Zsw$#iwiMLqiruT^Od8`JB7aLCk>TD?oIc%O6o&T`Rl$9PihWNp$GfWt
z9@|m;+NdkscWa4OXEns-*Q#Qa^kvKM)RTHZ&S#K0&1jzj2J7a?=i)tQRFep~5yP^z
z;dDFkj#cmdWiHs8<OS|%Z*=8~!z;;1JMd5La~fiva=zM{n+q-3SNf2a?;glmisnq8
zVn$M#DZ@(SJkLpY8Bl40x$0f^-M&kap{Zp1&7>!NpLTMV(&&cA94dLjO8w{Pe|$+w
ztt*qImikU+iiX{YkSuv3?Hx0Dy0U=%BfpTW@`Ju+P4r!?BJLb&F4E-uyt%Ek#K<+R
z#rga;B1-y2x2>eMD`zCRoog-j-_#OAdbAX^Yc<5_rD~$4i;9>QuON;VH*k4W9i8u0
zvQ?*)5&n5-O6H*b-84dj6WHA&8n0KO{N4PPBS>$3t_PmSTp1Pa$m|I(cpfLugv(a=
zFMr6D+2%5{beD6NjaU_Zlh;G8qxDL9rv?`YtvboWn}=DydM|%vP4epQM&38BVT#pq
zeji<o#g%!qkDW!!B@n1Pl`&l>a^S#NF1H#*qRMde)((;9`5<;L9>9PW{pD=Weq?U!
z$AbR-u}v93=WBzRwRJd$t;SHdeKNy;%%GpqBF-LI$IZMw%pZ83Pcv`g_Sl@bm$vLb
z<c>~u81X(CsCh}<WQc<7w>8AVL%L$qy{^LIR9|t;f3V2a8X<BQj1muzN`2R5gb4pf
z>N76}h}Oe;i#2o=_eV>1Y({J0WYt29UE56d9f~4JuYoP{d`j%~8DFVUY)#2!?hQGs
zL}oMhtx2NQe{q=mMG?IxT+TfUp_6M6@lygRm3?Mue_z_@d$W3gmz-tjiOC!fyd&Ki
zbKji+Px&*;>``^C2dQnnD7xp(y92(=u=i)#)VEj;4`#{PFp4`zk*N_U{U4cIb4f#U
z{s(+ia(NP6K(xM`snz=nr)2K>hEp9k_x>Wt>o<SS$^L1zg1FsVQMk*jRLclO(aBoo
z`v=OrhxBIKfBY-i#YV>8ug7T54@`d55+M7?17|+tdZUy+mkVim=o9PK%h@FhWDb2!
zD#Ml}(qdmMGp!|iBYmt7a(0t`W&oQmN!DV%7oDcM6Swj;haNl2c@M9MdF_DbjTdO&
ze~#a$XMElDlvU$w_`To>tKV3&YM(X#T(&0Xr?u?GpYW~kQ=&dU<Kl2T?*Fuxb8=sy
zH^`Ov$L^R|``|kKEoO6N1~E5=+tLgC`+p^!cUaE-|Nh%MMJ0uXO}5O8>wL-HZX<*w
z*&~E9TPjpiDlKVev`M?P_uhM#mZC}ZeSUtwKOEhT!_9GB*ZX?Cp5r_p=lTk$=hfr>
z({}g}r=`k%2w%O%q56i0N!{aT2S_uiS|`lRcZss4v&Gnht75Eeo)~*eJ+``{2wU?&
zi18Q-um`J2*B-^qnwO7bOT;kkTz-S^K{vDu+pu9>Bg{jpF}Ae~X1_@<`6C-s!_x4M
z^s!$?WAW&4B+dT9ao|cYwlDgOQ89nKp5l%DY98=3cg5UcC-_*s#iCtrFs5RIkhQO{
z{Dvix3Z7&31yej%F{WDX8J7PbhDDeGvR2&3?%n$2+r5k2mv^wI>JId#=wo2_eQfz)
zh&`%L@%fE0zU+ApfwC9ayZtrF0vuo@;SOHX-u>eahPPD|_DH9q_(37et%>6)+l^T%
zqaZ^nizOe>>~oTA_^}M@43J~?@iW+Qe+3qNMv-X~ujldYnap+abT)fLmYvj)W@|Jh
z+5W|1OtC|dz5c|@0!1e9i+2cP2YT`3PaAss>Tz#dB@X;7LUCmdmQGGbs`(EXk*1?T
z`8&kvnaDB^#J!0Cbbs)H`SlOrJLd+IhworOdXB)^Z?GoB8u}Ngeuo9vHe&G7o!k2E
zDHaA8qC)N-{QC7^uXY17#;@S|wo7nU&_#`t4vJIGBO&rUQeWyoiRMn*)?CJ)z1JZX
zcN-eP2IM6+!s#>5F=|iQrZsk?NpppFjSsTDg0b;U4ASi~aNf8KujaI(P-Orv@;pqC
zv>l^sC0Y6YsZ9O)bf&JQ$Qt=(v4wkQGmnk4S^Y0%_QFn)Jw7pmJ$yKg-Jt#b^Z*Iw
zATG*uX)iY*!o!@ci0^yjH~Eh`anG<B#qVp7Kd%hVf(6jsK)RoZ6eJoXV83BBM#8^A
zko+lDnO}%E5r7sSAE;G+K>tQ}DCRojkhLRhp4j7rhb?*StRZRi3QpTz(7xD$`i<u>
zo??cmHWP?TnqaG)F;onV5s+()C>Iml?lwhd{&OfEv4p?bE1bGZ46dbbsXuat!iEpf
zarcL0e=zQ^h{C>u$@FaIK`*%yMJcV=FxF4~-2?)!@Ux!{B5WX)m|8tjta`O9yJ#%O
zYSQG{Il<{{&jEQR899wf=}u+8A4;)7B}pc3Ajaaogcu+BHOC6M*xNrNc&XoyLe)+f
zu4~3|^8H?(T!#L}d~7E^;7QV{%}$6%9&w~wG`?d0<zSrf`h;*kKb(K*iEpdjv4zJO
z8ND={8neatLTf1Lzre!U=Lps@!F8c$xc|lgYWwfNQ2jcZ^)JG@=^XfNG;z}KI5v{E
zLvqG`h*$1{cH1^+?WWdFWDD^#Ho`q)Jr2~b#jxobRFa<IV)AMPTCE{o@jB`y)iC^b
zGgJ<%;}^|BcennBPxfaJY(#fnry<78pOY4cdbN3O5GwcxK@nmx(+)lFeKlf8WACED
z&HgrtFnKO%mbiNc`>H*gJ?US-bfXuu!_)(*c`RjJ?TcxSxsYwTIhVcBRAR3y<k`=q
zGOW>Ff)%b5VIxZX%<w7~+p02*r1igWf3O|0ha2&PSP3hAOTjTJAm30n4xLWNj=jk=
zmrj6_SS&<JBk`*78x&WBBPcNhf9!*B>hl*2kZ)Hv_#?`QP1n)vj{rk|JSN@p<S>75
z&IaI@-bZxzenLpi7cANmj2pz4(7N;u2UkYH@=hG;=O<yq&UDPm%)yQKMd1EcfrOzt
zB<yZQoNX6cKKG-=kUT4u)C(QuX6m$$mzASu=!^i9R25{_4uWiog&^}37i4nFXm3Br
z$ClmXWruyZ*~l(p)&3rZo#r59o%(S7TNjR}v|(0$Bbw`Kkp8zES__LYa4nB~D#R;c
zsfa93#9`}L80$php5|BVyHE4iZ(pD;{}F$@i4%3)3&&JF5J!E%`a90ht#rh8{kN1!
zWQU7KY$5f*23J;EW7#At)NXi%sQ8yC^?nJt-!HKx{1vkMt<V=~109(+ke&P%wN%?R
z%erA=E%jAO{zxq)hQ^6+Nb!n;JL&l}4isSV!zv_mwPNF^U!;#BKN!tx<qQScvm{Y=
z^p*s>e|`!xGnZ!G`7-R(CgKs4(oXG*G>fj7!g3!-vX%bgOq%*7sYQZJIgpo)&E{e!
zR7ViBrXT*NJ7FE#466;bq=_#hjYk2Nkd8#;%Kvu23B>25J*x%nMr=c{IPo)Sc>SUH
z(hF~9y+?M1Gu{R{pwROT`30>JUGsuiu;#dKVuHxwr?@}e0CCrEV_VNv6uVr&X8p6!
zF*t#he*eK^Y#%}&?!*J7t(erg2_BW}aG_@veCIAh%+p1X`8O9Uos|)EVkX!IIV7pc
zVELKJ2>&3CF9IU?ZY6-|wY;=@=Yss75ze8-e>g%>J)BwI9h}v_n>j5Z^_)H3)g1k=
z6&!AbGEVO15>BaVF=yfIVve+G2}j?#jI+tEiZk<K1LxSa4vwqPAI{whE|?e!)44B=
zvlo=1dwB)CKdNKE?i9pc-9r%h6NHCck#{fzd)r7Oe5)RpE{?*5?!bNCvh3N=Y<8(&
zDH9>Ca+UWc#>wQc#RD9srMsDBIIm~6t5&fUl`3q*f;p_&aR$?SBEv3GO}?FcwXbgR
zu|;ZJ%=6?31TOvtyW4}n(?4O&(+0im%@Cj5h?0Hvc+go(Jd7I5nOuYI#^gVlTTM)-
zDpWUD!IFLo%U475ziRY3SHrQZ8h6!e@YlTtKZohhAE5vDeJv7NYjJ?)*318^L-E}@
z3_Y)dheaKf4eB7HQHRrW>!8p;bN`pMsGM7iJ;ZaDU0g$R8v6JCRpHPPnkRTxLhxq=
z9;;M<?{YbGyvuN@t`t?%OJQ=V1Pa7D((Ww6(B>lCr@h-X{zB|~Sb&EU`G8$M3f9uk
zo;+Aa<iW^357lOQSU`H}biX|OF3&@VVm?YA=3}BOA8&3KAX2mtS`md<d$$OIoMMc~
zmq3EM6hXgAq0?4|myP8(Rab!?;w0}btRfb0HIDh$V1^N~c6QZaK36?XeyGPOl?Lo}
zZGdNg1C}mngz}z7i0y4e<FZB!4mQvXssT+a8Zg<v9#aMCiP2pL75Y2wd)5$pn$F1Y
zRd^jz2`|qIj98UJ@m?9+PM6}>_7YgA7Smp^2orPZ^)4;ITJ?O~y_^R{k6g_BNsOgk
z#J-NthSt7pTp!57>+f0Ua?FB(eHQ)&W<j7m3!PiC5&JD0+lUJ@F_DAG1-aN6N1TJy
zeB5s>fD$p0_gySTHE}=oEG$C;Y3*esD$!tC1*^eoXrHachp0NZ@HQZIbt6jmHla+t
z8C&FAAduODkVCD|4r)bBLn~gjx8g}sE6(0&#jO!ygB)+cSDR*Jc{d@PbRHk|8X!j;
zEvxcc_}-|2$Y2#t-mZj7TRA3<mjUS|;Hc4TKb$fxh(S0jnLLDAxiFB(0V~Wx+ow#_
zyJrw<G94=`(};VN1|HhiEnk?5V~r`0rycC?>=Y<-r@~V!6)Ih+kn>K1u0=ZBoHCGE
zM9iRd*|?vagGKszn7^ZdcqK&;-CTkn8fCcitO5@Ms}M)uha~!Z%VZj%Ce@4seJwP@
zYeVwN4y?BPN!tESY%=e{q50hyGVR8m_ua52eV#n=Kz3+%Vc(-pV*mWaNwE&}yllgg
z#uivfH^Y8GBcf*0Gb2h2G5UU)htu8kv<&IHOQ?=4LjNyfdlltEB{duSvoi6rH60?;
ziGOvKbShOzICkR)a_1(JpOnr~iFoRH;-EmjHJ;tE(3X!y;H+4vT!=+;Q!L(j#KGT{
ze3#`3XgNw;QmJH|l}JTA-HnRG{MdCN2f3R`g974G>y{E%q=Gmu)%dPf50fWN;354?
zM{oy3o_8T`MlTLt?!(1%zj2E6^`@%^ahYcb6{NfQsWpVs{y}6Z4dVT;KX`WeH=OMH
z@a=vt#uU1VEBq6tRc$!I(?WYq(r^pc;mU9o#v00riCF@l=t8{tng_ACY>bs>KtLo7
zHb;_C5uFI(t?^jXO`fk<%8?+xWJL8hEL`~&9#LWNFbGBN?GXG92qw;6FzU(Q6Z<oW
zCW^su_!*3=9U%xp7z_u)Nrw{w?<bL%b0h{GmhrefGYR|Y-znaeg{DGc#J?*h)<XrF
zylS!UM-yh1w39ct8w(AHrCBjZejf6<Z5@Zk8!omll$$+z#KVsD@UV12UM82t!vZ$)
zFk5YIrmD`x-W83ZH)0gt+lO%QHSxE+NkeVhi8tEB{FvQ@&9$}Adshj5%~D)aDTE^F
zWBbUjBqf<jEVCaFdlm<`)+o%mNxZA+;c(~)CLI>(7$rX;?Yuwn0(^++?*$F357_YS
zJw|4_V`GLZX2rT-#{{vZhy$|K+!=Y5&ggM;!M#*h^31!V*3ko|yS-p+<%>?;k6254
zd9SW8+;xt`()xHLgj1~|Oj_N{5}L`^AZunT5_Eg8|HUADj*nwmF6Dv{^W%7n5IekF
zl+AAyV;jcB*`j-sSnQ!mY`e2Kb2%->;y#P8+s;D7+oHbJjh9U-C4F)8U)&iRpwHnK
zKFSk+b3-!>^=dJkQjU9S<TohJ!E9UNq25ly41+lMctxV8FB~_|2g7gZ6Xpf_!ST5l
zlAgVXgR2Xas77)jo#OTA*I1@Sc@hg=fNQEbZZ9;YYy%_c*gYn8(*t;|xeL1)x6pX=
z8dNu2CZDP<`n7dXQKOCZr1!fpat`(>+L&gc1IsfPQF!?(<Z^G}M(BM^QF?}2+UNK@
zdkJA;B79xog1xccXfzFiFfmD-X~$+{Rti2&3l?7dgWp-)?DkS&wm@Ez>Fk}#bf44y
zj{2~G1Js*+oXzt5XS3=Hv)CLlCAPF+1`DU1LZquSn=CHLBFVSkn@c)B@`_HA`3K#f
zzhSt%3!K(w_zKiQ|3w)*X?DBVH47f{snDuTz>fyvR4YZm_-!bZw*(@R>dEAJzBr=o
zN&UV%L@v5uaJdsYRNmsri8m;Swt>Y_E7XuS{>w&7n7lE^m*vl~XQmmQ@uv7WZbG_d
zQyhM1isRSKFr|%j`UAvL@qGz<AshHCw8JY|Cs@;t^B!r#Hc$Ty6UT5w50bWLVLHa7
zi_rU~7HT(tBA&c?JLE|75KWxtZc%pDRFZ8!F3mi)%d$P2<XFW@c{XLSJR4ds$FAL%
zW!wT(w@?O+3S|L_@)5&;bZyU1^Rm5S6S)0k2!peJVJBY)Eax{u%DM^(YsgcmkcTmr
zft|$A=UN^I$G-0<st-dkdCRA6`iLvkr}nP+0Ko=V90+m3+Yk0A3VuyJ*(;PTu*CY;
zX2_8;#(v$$_)~Qc3oULT^U4(ro9JLx@fnC~o<P%#Bfzu+*mIB=>S^1cWK8S|lTFAi
zSWkJBYmjnd6`FFF!`yu-7IiL0L9z;NZl)d94Hd-RSWKBEOY!&Y3N*W}#=5O)kTYla
z&vOrAh&|JCS_kE(cd<Lg1S7@PC^mP2S9<{D`y%nhBn#|9ElSB(9<RpBQZ|XRxVWiI
z?>|LW{bnAsoVA#h{#eHJG*+;?zm~J2*rm))QiV;~HIKc>RASM+^30f5hDB_mJz$bB
zJNuE3O&gp*^VK2z`_zk*zU}z1ld=z<Rl|Q{8Ft?&gf02cgy|eQcOVt3Xs4c5LOC@2
zu{ilK3jeMCj(}A(2e==Oc&;#nkS1$QZ!pA81cM_L3^`@W954%p#<mdXX@_D5eGXcQ
zUtuNq9iPLZpp`-zbJ`0{mrTLaEg5i0$ia0BI{Pfkz!h2z_ud9bEpEf(16>H^5T}>&
z7eeQaVov86uGw%ggK}<Woyo)aw0T)Eohc?ydD%}9URJh^hk2~!W;+Td;F9zY2Q^0U
z*JA*Rfqlre?uOpM4tyP_d)JF*Ks%~&vabw6enr@No$87mS$MJ`4Gue!@KrA!lF`wK
zockRiVc{6l4FRR`KyLddyu3%ep%Ncl*Y(1<$_ETAe2=|4Zn$3O0yPh3^7p*M82PD>
z#5zGa--#HA@9=V&Gif+nP<hb}=Q7_zEXEUS)QLTFnOJyBgRq0XH^Lt%vtoN9bRVU|
zb|vW#50&Ep&BD!z6Bbg`2X1=(egdSuq0i2!S&*5#i?G@hF=n-I660Pb!A@L}U{eJo
z7$!|(%64Kb+E0Y-))Hd1`TT6F7%$sIJ=waQqgb>04|++@b8c!oLT5FiZBI2`J5Y^F
zKE{-HSy*%=6}MCqA-5q0_jDqV5*mt~a{_VTdjPiH@PYp}nzwIu!^7k6;B5OAue)sF
zbjcdi1YW{F#T@efrg$7^ghSzvVSC~M^)h!zdqLjn-B+M=LKkm~wQ)Z6EH-X9joeMA
zAlh&OH`koNp8rl@(!rB3->HeInrD&r<vh0NT*kG4Tc{2&K>jXc^0rwZ|0?;BIqxV-
z!wWY;$d|q+8a$ISU|LWHCt}OF>>fgmJ1?8AA<Cw`n8HlErm>A171((;i=|i2VQhFV
z<Mo}(4Eg6U)m_T0?aNFidq<8%7fZ8m0+QrS7iCxOQRZ4J%>u|zm($ZvOv+Ad<Y|Vx
zS`Be0OA*kJk6&t8IM|Xx{Okl6i^L$|VFb<0!q7wdyCq7WaQ3Pncz=@bhW3_z#%_4$
z?u?2)N2ES^iz7Sji0fesc-SC$tu=NkSOF(rVW|Hltbe_Pkmf6F-eQG3Z)@;6y@nlW
zY|b2Wz`u3QSXkx`!42M6e(59L>d^OYNhH2SCZcmB6EBL3F>_uWp?x~A<?0_KG>_xn
zZ9ZZu2(tj%Rqu3^WLD}@Y~4&5#w9nEiEWt5j=Yj#JaeR(;`Ax3-&%s*awDe2d10nK
z!q1BJd6*8>FYA&AF_zzpV*(u*yxNEg{%Ra4A?|qvarmZW!k=dTveM+|ERTdQd8=h=
ziM3BUhEW4w{QCO=*6waF)p`eS&RbM(vW4n#E1H2?BCgU5N46T%Ugj~nV(wwT;w?N1
zx{NK?&g15h)9BGXj*p&);3lva*|yuUYb&r^ej~of(ELkvB{c3Y!QAQv$kLvJbP*+l
z7fq+-jVw56Qt<1OfWt;HX!#3~zMG$PF2r`cImW@+Ax^w&ALrPTF3wBYHje4}M$YN!
zwH)g`m7MduWt=xhi#hEYg&g^X1)PYse9n&80*-TK5oe=e8D~}__4^l^IS+MvIQklY
zIsWzhxHMA|S0ZPCTV^rk&1}Zrz#}-Hcmr{c&mpPkgcE$9p|$!4s_s<c8EKa-o(eL_
z9BDRuTbb=iS<D>d*03FQ8=1~`4l8*HHuL2cmbXBS?ciC>?k6o_onrG?%Q*$+rX<T`
zOeEPR9}zamik}@>$<2C%|Dv_=53#FyDa)@Dnu_g6Kiq;7Q<|W)lX!}a)N2>il6IvQ
zI)*ifQ>=kbZ#705sxkDd8fH_8U%RgcQLk&TnQFX#m0GNSREr#9JH|||gYKa^JfYrQ
zB&ZJB8Fi$AtHZV2I$VgTLnzJZ*Bq(CbfG%rkPmrqBlWQH^!Kl-!M}Ia<gKYfgL)MX
zlTYwtHuVz3lb^Mv9F2F&5cjc^m<%P5R49Sm*<zffGuURBd@bbnmW?TZ{)z&mea*+o
z-TBb^l}D_bJdEGX!}+6m$lINVEc*HNULIn<<e_mi58b3$(JReI(s|mk@D<|k_d*<d
zQiMzY6=N^e26b~t(><dM*Qb|5R-pp5%9Ti%T?Id-Y8cAUtYe}EzLlhP^r=I~sd`xa
zt4EP(1A3^3Ke3H`7lw@(dD944t43&CZp1?B+m2*5VDuop$FcQ@np_XV19j+qP>YN7
zUha3Q#v;2aSesO0>a_}J9U%SQ@-lcxmLlYLF}_w6VQLofOGp>8E+Ze;s`F4ck&8F0
zb8-D?4mQ`3f9n`&2->oc@`iF@PG-S;a~Al?6MamZ`gpG_oa4>LEt72Y5p(xILk`?y
zb7B824`!M9I6Xu&)(u6Zw=Kr?;S%y2mO-Yy9GaIZq1Il7ZtWV_6j5!qx*iH94X~xX
zvuZ&T_%oXEz?GQTJ6n;S*$O@7Ht6nYqnw8}$W0?oV{|LzR=1M3vISj1l<D-X2?lPB
z*m|)6KV<9SMfzVaIwPNbtHQ5&m3a5M9HK*|h&f#XzVsr}HWy-1cs_aZ=rb$I!NDil
z7}=DCM>3f>MjrA`8R8jlO~ctYsl*UV#i&aPUeNx#87VOSF9p7@Q*dxJ1uJb+;e9j>
zjyuxvoP6_FLNf7jUN$CCAOG!n9we_8px{~&hM$)pKdcO6T@`qxQVj{pc#3hZhkbM-
zY<@H&-;a3C#EuK>?ZDh^o%nsG3pMMAhm_Zic4guQFYUqd!EV?YcH>lB7pA6kVv^lY
zC@krKwNo3~D_c-8(gdl$4OrD&hoC5$`I=P0SiJ)7qy>2wUyNYmLNxBr$Kd>2Jfpei
z&q<juoShDh!>Mp^PsS?IB+PP2#BSP6S}l)9vRWMRSz@ujAqL7uF{n8n1O7`f_!Sm|
zs7<k0E*OXS$?-UPCINfMi>w}(gh~1I{wSqG=W`}@+|0q<^ZBSYDuU#XQtXni#G|K_
z?bK3_<6D|>;%OT(xqc#$UK5-Ci*zUbaMt~U+2aGyUqbr0Uqk3pA0|%7Fhcx>pc^}g
z<97zIz2G-G>iY1~zZVgz-Q-jK3H?}NgJ(BmAh7|7zO^`KRD~IoCFZ)k1Y;6~s2-*L
zJ<XvWk*3#sK`J&}N`hWW0xoQg!@QPg((gp#j7J1!C49wc$#6WhCoL<@KJ&H*!{bp9
z%m%0@{Thf>iGk3c5d`O~Abcqd#?95CST+=fck<ux@WXeQzM{QUWgITQ_yJ9t{|F3c
zLcli<%j}Dx7gm9qzFJgJkNNa|2UKl(aP1Q5=sJe*-{@a(Oect2%gqWY7eRCZFFWtR
z%LD^>*?X!jdD3}UUL7~<58+~mt;aF>&|fSf&3i>FaR;k<u`!?%Bd6Q2ny(2fd}@jB
zQ3;WO5;zAHkZ&=EIHeiT(M-YnyTmO07z-orDC{=;hJCc7u&*Tkb?Rq$RtI3Ek{^QY
zyfJr!CwixPAZLj?+KpXNFYkiF(RVnz;2pvPoM2(*L=0o9E3dpmvavI9o?MBY=1$*L
z4@8cU{x;JO*VcT74AtEOqz!J~8H>5Al40skv%t4S;H$5~OI`B+a8dq;(Evok$Dkd`
z!`9PYqjRk=+Y}+nid@Cn(b`E&@__{7x-P*usgu~CtvKs!5M_TegqhPBL1q-j$FeH9
z*{k$1XptxFyhk6VyzE54bIPW0sl&be3M^hw3_hR#&tUAABu?!F?P8>&aBeR#5&TI9
zHUBd@)BVs&vwrzo@1d&i0)7`q7&X`-Y3FO2OTI#_p(P5pKS$1L6ZGw*Y%AV}FiO%#
zaOo|`vuhX^y@Y%<9oms-L8bpR&f1*9;e-<ieyf4BSsEyQtU+GE6PPZjNwb8rh?uVf
zf8u3@OVGa6<sqDHOkl0^0$%6dU?;I}a-@85wKN0;C2_bllui7oYG@R6(v0OV7WVM7
zgZAPq#!Z?n`XSHk6BOBhy0h7Ww{uzj_Id2H)m$cMJDZi5D={(BOI@WLnP>J=>}%8{
zW=b4Oz2*E2UuYhbMU33&UpS)D0VQejjozU7;<6IFKahv2<P6xECqvve9??~#mplIr
zJ+p~jH9Zj6`4LM4e8IQb3sVI>u#evjvo;X3)z1;94id+8E!C9gY;l>q;3-ztnC)tX
zoxD^-X1;>T-&gQ<v%=mOYjm7@jf{7+Pr3OPPCZVTP<F#@DNlIQv$J_`AcCE~qK2N;
z@Ap#C+C~|9^>laB4m2&c2d%3{;PZ)_#oZKO-x5XG(x;P{#f!=8c#afXvw@i5IWjE9
zT86!QCC&cSOkurlk}RY{oK30~Vc~BDSvTd6j1z}q#_myM9r=ysr(KkX)k3+9b$C0q
zf|x5s;F+HTPs21MjU|FFFa`pa5qSP8ly+-hP|6p8N%y?*nivw?(Jol@$`SpBcF=rI
ze1$JBi4$xNuRW%ioA?Z&?uJ<1c?T}K*AXXi5#}vg_|<w6yi!L|b?E^7+IGR;S{-Xn
zZ$aYW4Jan9&-9Sx(2-k=0KfT=(wq%}wThU(embt6m&LpYDNJ7@3A;uy=*J7=QoaEG
z$nhcU12<(Dk8`Xi|K(g57~*XEFu)OC^@kIl`<tWt{tqXqe2}yK`zYt~RxZrj#|O7h
z!ccxEiT4_Es8~G*+-57F_W=;<JOaPOtB~Jf0`+iWMjY{m*Uayj+mQp`3oR%X9mmgC
zqO3YomYrBKn_ZP#!X(F4nd9XROmOBVCOK^rJM(S>dp~6jbC+7q%vLUB#zV^NN1i-$
z5|U=~3&dI779pm7f|uDZ9!E<d@h(h%VTE!hwpg^Hitcd-+GE7stA-3|CeKQhqvuj7
z-A^UZ=r2NxY!M9Z6~aQe5c6^hP!n4~TABjNjVMIl(?akH7U9|FBHXxMj8NKDh>-48
zcy$@3ZY{^HQx#ZgScy|E#M6kXrXH{c#?6$s*jk5eW%Y;;rF>8QMq=tW;htX;E)kC>
z=R`9spEiTbxEXTinz3ePGgd@2;o$NnY<fXC9H|Y+Zm$QYzYb!wZxTzZ!5XT&tVsVe
zL$(q>Gs`hzScc7uO5s*jj5gaMR2(RT{ImkB@6JOI?LDf~av)rojSKx$Q>oBC;c+Hf
zx+r_YAOn-<W#9m56@N6Q!+0Pa*B57CjztD0gy?Pw%0!z%7QH{&_-mL$JAz!C<<7@6
zy#l-$EyOD4V$|;`1-EE9UKLhA+N}yTIyLx1JF(rx^(eX7NPDFwtUuI(&97Q9*{uzq
zNE7s9c?YV#bl})P2lNDfVp~H8;-1r-Yq%YJ>)SD#YB7zKtuW|shL24X?SLC$a=RYW
z5^HgKyc%DYR*^om0^1Cz_HZeISYi=2cNf5Sc0S%-%*FbcY<SMeLZVj&Zf&GY(7sgM
zPDvrgGcg&9lQ3N-38$a@K;e`ha4SwkbV?#d+NihO_yaYhA4)T!UHbiG9Q2@U&hb>z
zWTqqXXePGp&c=qTx!6aw-F79ayC{!$&kkZG{ia=xcMa?h*2AZV>cqP(I8@e#A@QG7
z2X!H&pc@^e;d=P&7c$S$jHb5_N(=ijDBcfIx>FuC{(^HwFT!6?hUDKa_^s-M@cIr+
zBAsAVdNVq-$SX`ePT}DieED99O>*UMF(`piZ6W^Kn~!<)`DP!^LPI~zl0T-R<8d-h
z-24G%oPfB<I5bX+MTTcI-kglW#jTMr(E1LZuMya+P8`q45%{1O0j}E-I4AlY=X$<l
z^UNqjzKbT-Ml9AojYlWFH|lQ5nB$s;&bmzO*QVT$>4ga7Dn)}pC6+4H;>e~(#O-TE
z%a)%g<nBS35xuU!Kd^o<gcF4$Xb%31wPIuVP&bB*h2ykSrG3HTG3@B4J7@bSJXZ}P
zJaqtt<ge6~_yzqM(ij+Zz?8og5AQT0n(FwpB~@5$QHHekBA6ec9KyV8M4rjOJF20-
zCjWq_XFTq`rx^uhH-+#=VCLO$^ofUJb7>H^=6`|y#3z_v{D@m(0mNkXgNTA3rrP@=
z;Dj$^?)sv--4~9rlo>bV4>7loSRMKqvE*Y^+!PAy?_cpMFcJ?)=RAdS0J#pQ;}m}`
zj))agjxOnCQ|jTMPMpNBZe;iUMp)Gd_z%z=SB8i66Q8xDgrCik5@gO*f~;tX5L+iE
z#5^8R7Kgb2JF$-PA)R@dd^B-+_fDWaf0VQggQ!vMgY3F4C@gEkZ_>9Pn^gljVnaOG
zM?H^eF4{^muu?q*JOv5(`k1`ud%k0tS~!OG1tZ<`Gh*ufA#vUZi^M$<SnrO9G`ou@
zUeClu2h16=!}Azhx}$CWUq1Eehp#ZY?Il)ey#OnqIq?Teh*ns_+V}--`%`AsF)LI$
z+E8xi8~hV;fbbz_h@E~9?lnHBZTLj<_b{9di$+35GVa^v;!0OJ3__Z)?sE^tLyuro
zfrtH86l5<xin8E$5==8^3fr<ohE;u>%KVrt6Z|)o$+gQc8%1e0NWR+!@*W<K6lI0`
zgxGIl&DSb%v$Fz!;nVmVD_XlyDBp?(vpN_oq}@5)rx&N?py6y9R#qg!g8GSh$0G3P
zNGMhte!=<_e|%Zxjn1U^cy!kVQ`8+{vcisL%r?k9_Yygt=4cx;!Li%V5H)T<TE;tQ
zO}K_Dy1HmztA&-SCo%uz5rp{fN0P!WoQ&RzXOA~yht7Ir-%!Om*JViPTm&D@d05k<
zjDq(w(Q-=;f3##^e{(YKx{Bj$n=sfx0W2-!LCWwrC*avIM{h?zXXb$}j<$0vCx3AR
zXI!M36TP8~b2O=t)BGiu<Hw)HF)UBxXs%7+NUu%e4E##uq?sgg%A|jA)C!U~TY6JD
zV!`xh&J}V*wW>J%)7m&<VuPG`T|VL=N@93}0_NUZ2L3tfF#oCvi?;@Fu(qO|w+Efm
z-=KUj7hC63c8o7K8@?gIu9weX%T_OB=DDj_!9O+jiGh96*~(_$W30DiGqan%o@tM+
zAnocR*12>Rv$U3HPhUx~i38#+s)acBJ9*iY!g0#e7)F}%Z<3MsK;ud$^$G0|vTDV<
zj%M@)HK91C5nihr(Nffac2DxQIW)kG@--HxH{jF|c^DQqLgYNnAKv~ii@XtK)s2)%
z*NC+pjW}4;h!6ga*nFuG;iTo5@Fou4tOopjQIE%UG`~@<!`8#K=)O~fW8?*Pv?Yy&
zZ6$8MtiZcx<?y{zhIZQfe$*sp{PALZ(kQ~N^Mz0{pc#d0K8$loLou23w3l)bQ<wvz
z|LAP(r1^tuHWcU{Jh?v`&&Z#sb~77X<bM$6qyC=mMoY@in?bV)C5t?0T+hd1>dpPB
zUU=wF+Kt9yNG~R?=d&{MNtKfqq7uqfBU~M*#*^)}=(ntc9?igWN*gGHw-Le7P0)GL
zjJq>i;77R`N7`F(adInk>DM*-@41dGNKt6P-)GHej;HL^8hXEKDOV$jv>C5Sqp_<N
z?KJlie^~{A>6KXPU5+8rIG6{OVDh?R_@ov>?Mwjz=`K&CT&d~zbFhbAR~pTFyO4<q
z?F=mZkPgG~G&Db=jB156$Tz1#GCvi%O{rL+m<DyzG|ZJs2Y+@tLIX*g5JmldPZnx-
z(tDAXi*Fb6X_jAz3*$xD)J1t!KWQG;UxB?7Rbaxk@D#4c&XER8qIt})WeeqUQa+<u
zJKjZiKrM!NFeaVw67NFoi7qU=*oD5;l*^sg2~mYk+THww!2AwqH?%?PRx5hSiG4^6
zbHzOk5I9SII;|R*9<9P>P{stk?u}DQFg#v}2J&jY|C5VA`pnMHC%q^2tye?RP@s?s
z(ND?f(@4TT6{-Q|B;wG{1nj1)krT4<7)*=9!_RS;K|d?x;&IbAo_0qGxN$oX=fi$r
z#)@Rr{Y=69I?5Fh&BW(x#Je9StqO5lrcjME_Li7M-j&dap}9#xJ@!^Kp(eEzyRAFm
zHM<M84|@>t@)v~m^g}B2H?~CoL7(;jG2aFdVmSa?(E;pP@dw&mzlqJ$hjrg5m;7@#
z1g}!=_DDM{&b1;dpb2X#>nS_F2D}oa4Oc9O$BGhM+Es{<t9kIH=U2Ht1F`GV(D*qS
z#Z>Dgbj2ejJ{DY&(Xgwc%<M(q;Slf*o~OPNdnX*ylz;mvEtK*>LNWJHC|($a!fTwk
z-&tWu=?X_T^=+}Mz9ao~6oMLK(2^KW`j;R0Y?cbabD79B$;EgR&Hwbv@N@yOo4V>T
zDX0a<PX0u7c@OSM6GLcd5VqGx5w0_a+MEeA<Z>}LU2YctnVX4ta<eVFxLLI?7c()M
zK!Dm9mc1N>`_mzuUhoIY?SG*xzYF<4DZj9r=5!79G`}Z)Mq)Xfql&R3As;)-=sU}s
zfw&zhIOdm#q&abT{38mj#t}GkDIACONrUz|kmfj_vBxU_r!M=!`GOBJT!`~7>4}U~
z4@@M#$Ed`67<_Suua`SSN8Di){vPr*#Pu_vT!lB@Sh?5_)AxUb|GzH~Q457SX)nxa
zo@I9M2Y!4f_T`&AoXsjl_Rd<UceTLDwi_EI2k>zt<xA;vvmf{P*dfZ@?p-3x>QhA6
z!8}oxxI>JMtPo??<Y^Qq&qUjZ5My$Jtg?%b@tX0lqJ{}fe>4g%(w}@d*o)m%Qx{QB
zF~htTZ>1^_6HVL~<6H<_$-wG6$%t`}M}1cmzMuXE^}Y}o`+dQaXXKB6<b(fQKA^CM
zSmNr=D9dwzoRJ-_oOq4BC#_&__5$~6%weNrhT)keI4W+0g6mHxi|!#lIX}Pxt9uZc
zr;mhtcOh$c7uvS^aC&hcr=1PaS^ESRHyUF_iW!Wileg)h4eCkfS?uJBv&od@GWG?p
z@Exb9=3W?(hdD2*QQXx5&*wv=#~~KXA0gJ$J&B!Em1aY4r?K3h(^>K~1-4_VBIE8<
zVCMp7GMJJti8$>>axzSG^<)+yCC*-z2{Bn0KIW~*#TMlcW4>4)oZLIG)UpvZ8C5t-
z=l?;qJi4PZ5S*5T6U2%;rXGpFL*Wpx3BtRPkC<=ci}rowdr);pFP!mO-vJ_dZ}8uK
z;=qs&)id6La(K<KJ<k}aGS9GK@<TWrxrgw-dT12Cfg-yrC~&-p{<#-$bnkg+P1gp$
z?>TVsXhU}AdF&*HeLFwpeZ^mgTH77W^?8UaTVuGAhWrh`4Wt?zVBYo~qRRAKy`s#K
znLof!v+sfVwV1lB8-MhO?~zEHiheP+*^+YEiKC|1K9kwgzE5`FY^K&ToAr}tSVBvg
zO?|GwO4{X_(2uE1X2%rv+=o1!+`=sEE+3mUnTz=*4xxi~Uyg^`F^|(gJcvrX-%|`T
zja+bjO~=Fu>X{ISo(oh1CxyeC{3I<iKI0PUSpTYdgWJvnx^k3Znnx_^Zw@fbvxDIb
zTeQEo#t+)_eK__48MYQ!CuNRr^=4@2GQ&C2T!d(t;)bUwHlH^`uJ3as8PIF*cmeQP
zLx^}e$+sP#*5HD<OFikc3cwlS3I#rjLhn)9#r5YxcNz6VbuGwA=|iXU7*;;#V*~ZX
zfee|%BB;jPBsG;8Uz)}iB*?K^InrJjk+(u(8cQI?G}jC%*3&3K8D(N@vO7IznWT9p
zHon)PQJie;$BVE|nyWSAf&|@H9%ZD#F2KTPS#&0*AW}U6(Z4Bos^BZ_RD#L7_nG`q
zeh6#w#C=oZQEYd{>4gqZQh5V~J=QR@c!3X%&rzjef=eY&VY`gjm+`luYIY5)p6MbX
zSPQ#lPr)JlC~_<hQoi*bbT)2B@KuK0Yc_*##|F&tS_8R5s}Q8I9J`a2V4155ihnJH
zTEPO!>{tLN(*;;%u@IF8Dwy|pDW*iP#98fiNb=i)?3A6@|L;G@*_=aSk{-lw8pGPk
z3LQs?ty18R?tjE`jixiZum+h;eKh;#WgJa$c9vI`-HlOXh12J=2g!?B&fVqgndC~=
z?7e~=&|Ss^{Z!c0%z5m<YGvlIZ93b%Lx#<`Bf(zx2(!FgK6ZBo7mE)hX6v6`;<~h>
z+qV&?NN@KrrVPd0Mffiy7o3DlOeIa@&gvv$sU)CyejGkUMC1CaNc{APKq%ig3<ZQk
z-!Tjtd7+q3b$#H1P&6M1ML~8bZhD5ntSB6hwZCEYq3=lchyv$OEbgBpo@#CqcG#!E
z<5L#CispkipcuFHDLYQ97D30FaB^!qzDtmn(Yp_?ItEagK7!jz#t_6q-e6^JHo2Rd
zMV;qi$&}?j^)L@}&*NtQcu4csI)O(A#<1n^D8wcP@%zGWh&uE_(T%vO=9I~Lwh4vH
z>hNcrG;hVFa3XD|2F;0Af6RnsDlv7(exUncJcg5^iBI$$^Cy2rQf~;d2Llnk;4{`*
z1YpiIKYXh4#*R`?WQ%^F`jNb?>xgr*!3}+uu9&~nm2$^ian9NmZW?ZQYv)e>6Y>xn
zdO~Qm4<0`D$BYx7@jfdU*Gs>m=YBNt!4fg!LOOCC^YCj)87_)Zz9;b&@5uIIecvEB
zx5lx7X5}t<{7mwp5Nq@lVcZ+USoJz_mgFYR(yxg#<sdP(=(Z@ElPb)bV+5J~C4S~x
zNf`j7y|8>g3i*mZXyfliiz;!K^_pOtRD-oE%Ap)rh%eX3i?lf%oK;B>+#3fii%9Ub
zhvWT~U^LMkY**%o7l~d-$$1a$e=Z2v=LCr#_E0-%3o%)1ydQaiQ@j=!Ty2KucE)(2
z@C>7250U-mJ}MjT5M%rnwvAlJhRUlDIei7Y?Ji@Q?PVOieg&~aMp>b96Xv__z##qs
zz0RjNJI54zj#@(DsSQqtIba*td*t1qY)&r9JN^`hIkc0!(o#;otu`n-58#t14_iJ-
zm?bz$u=iJF*u8!7Y*12xb=fPCR9Bfzicw~EPn6gKH3c?f_H_2-sw^wtAw|#2B=-H9
z2um5}XFK0>GpDLi)Rgrjay{*{xtk%PQbRheQslhM$ItLgJe-??2W7-1NQt7{_pb<`
zUB__#XKZ`vkM`T%NO<mn1*CEOx%?eArM*SG<r^3p*r1s*m^)f6@#m5`MwQI)ati6&
zV1%xVPqDP-5r)Z69T#eVd8!6jZfO9Gbn;b;JVx>AXYe#NMyQb){5DxaGs6nYR@*`R
z^*idf$&<b%0F7>;upNzox;kYLY8Jy_DzWrbd$56cmp>Nsv9bf?M{1W~qAAjBSHv`?
z=Qf=kI6sqp;!|LUtY)%VvNM=%svJY=RA$YjSkMIt)=ggYNy`LTu_$@ihR2XYbB`Uy
zJvg|z4Kqon@BX<0#nhu^l8&31q(ONo5y4)xBQ%YGvqLD>lzzc5Cjbe>-YB*4K>aOO
zl-zT|u!lYJdR{}BbdrOAEaC9wIjmk#Zq=)2IC|wFdPVMGeEb&Hk*E6Pz(pM5)4`=@
zTDX7bG?Y6|Lb6u_o8BJB+MZ+3lQ<6R$r|vIJc*l&Peb409D4R#gyDx9bl2U-sHPFl
zb(_P|lRPUnPOwY##LmruP@0Is-kx+cHkKijW}lbRhG<XC%T{HHGDG5>9y6C?+Zq+v
zv#wdp&S);nwV%hVR?cHxkLR#+pOo3Nk(o@JynwTZrP)!^SNg0MWe@HOu#Q@8;#>TM
zPzm`?W_42S+k{Z^6_}QlqPr;{VLP*6JC=fLe-og&F$Nyd5wOq?gXYB`;>vu2Y?mL+
zFDUnH>jzkFafj}0%FC#ALb#a&X|C;IZ2t!GeB_^sC+2RBHIi0YLv_>&lgZz8FT)y}
zTWrw#oVb~hb~s_-fCuC6aCe?NT!e{%9psN&(}QqzKY6NI99UN>0@vijimwu;OPh(Y
z-UH?IVR)YAX46Ck*vL*1);u82qy{8ez;Y?}$VHlot(0L;N2Qr7uQV}orm%>Wl9U@E
z&Z6x^*u+Ue=Jc1BJ+~l_hw><1ZTXE-!!9V-wjlRr9i&%PpkqN1QV-@}O+Xqr%YPue
zDF!DKBPdHM6qWs7(7^)W^3@xUc6rb_?1G3qM^wez;aj#1t_{!(Y`p~zI+{XOg6dqV
zanHZGi(=^;q)(^)iqAPHhMvN<&ZD?;@F4j+c4L~`Hmo=0;H`ri9u%*E-sY9iDp`VO
z#K1JPnG3^j%GgGH-Q&LUq$QL^kfk)LnkU2jwFI;s#G$|=hWrK*Xl@t5z*Z6RRf=Hv
zh8XNBCt*l)3RLFELi55*>_0shMhBOn=!F`NoY_s^Z%xE4&_iLPDI8|l;p$N@6i}V`
z!iV<Iv}?MKL8z4rumxA9u=B@fvgK3fvqq(5?6cr%#&5iit$etiO_{om+54(81J7kF
z&}t#O(>9A;m@$K`dn&{1c1W;wZ-v=5eLnUnZ-VOPA$&+6wuIA9sH|?mug8=_pjnMq
zG37XHQ-WJ*h0s5l4@C}TVe4f>vNID7ei;b!PRI88G~xoKp-_xGx_?u#bWR$A&C)Pi
zF&+Q)rX%(bWq%XHZJuK`3YX@hhx9O<iUL$L7C}m=6!xqf8ZRr6R7oDb1$D%(q*;-B
z6C%S~VBpsVryHbs<mtq=(_Kg;k8tL}9;i3=K>L53UHaA5)B~wwJy>tnjlKF^7+*x%
z^iLh+!)b&1oL1~u(2TE>8ga3v4g${P_1RTL?B;STa4JRWmSVi5{lXKUJYsd_ppB6(
zWmyK4RnsVgCk2vrNznYA2-OD(u$dE&(|==OH4y_L)fj}jMC1JWXf%-LyhNGiqk7Tk
z;Eutb;ut*n84H(f@lb3{Kz7y-(g7r6;kh*2p&3GXZ#J$7<s*Y;y|NLdm{?zloXi@$
z)uee@Lo+INx8t8B`7vJiAmBhB^rL@6KYaiu*N2ejH4GWb+X?zQ0*lup#Eu)rp;6Kc
zz8!=@Ddhts_hZ}DU${|BT7MDZvXMqIn!5#iN*WOAR12Q}s^BP6jyWmCNHi}1*YRBN
zt<Az4m2}KomjVH;A2>oY5cx^5IOQA##r@y$h<Gj@>%vi~9}17QVA$IR;rabQ+;{r|
zd%-VIjrxq-NZN&qe1UZ67kmo~1g|t@d(s|Sbs`M@Hs5gGG7=lRVzBF50?eC|VSGIU
z{Cjdyb+d>v2`TS<e=YjzoAC8Y2RaLSF!S$ke8?O|%G@#V8*;HFk~~a!A1`ZP#K->l
z^06(6e9ZX~AKO~X%Wie^ur%^8<P#I9jP?-m2kCv;NADN$cGJnvIBg5%_C_|rZFwEG
zf2zce<>bL4-O{G(IjEtXn4LfhlKv&YWO6LNZI8q}_pfl23q@HJF_cX{!H)E@I&XcD
z+UN<3a~{Z(c84;TD{jws#!|Wywr_OAI#mbAJ|<TF%(obu@s`d)y0<l`SMqhlXZ?5h
zn&*P7Sa&$=BsS=MUx*y~1m$w#;E6{-t}7OA$PY90kg_5KN)gyq3x1(?ST5>Ap5iF(
z9VceXets5QF2qWzMA=I=iCr0!V5|5hGj(Dd9v_ut*7W;vy-BS1ni!kJPaK$of^6Oe
zKIVReo8_GT2QBVF@=Eq%+Sv|BtZc%8`8613WmrYeK-!-y%EnAZ*6u{ot<ib9IRdy9
zihsn4)!!U|uySuyQ4hH4rYn@LIAN}-Jz8RjDJN}(1WQXK&U}u8`Nnv>^(o}%8lZ0b
z9Rz;7j{d`!5W$FZ`1lOI3!TKWj-%+Bdl<rL`=L_02PtQELG#8Alt^z!uFf_L-Ps1c
zQ`@m*-A-&#*@Iap51^>$2%=;)u}Sa(%KC58UHurzdr9Me#)dKt-XSc^2T%FKaOZm>
zjs+B8$fXf=YyZHLmvRw^Rp|dmisc-c&gQ;QX0P|pV-|V~+1uJh#4KOLHdHTQZuxWB
zku+th`)0CvJ+kbE&lKjUBhKdU7h*yWNSj?XhO~<VNTZpK&Y@Q7L+fCEt^)6!ir}Z3
z3k#JDB;TdIh;RbdHIs&i>pSW+!!ctp7=>9>ztnt$`V#VkM*G0g(hHh2i~0WhJ?WL*
zan8aGn{!=}eVusg^h>qK75TnyxJeuoyKrI$jd|iz0p%*Lp*ap^{%%YQ!4cBLY>17)
z8`^X3q;s`mX8}FC<=FVU9@~UFux@G}es&Eba48ova-sLYM}R$DC(MSJC{vCUV-ckP
z&?^yVKc0y*#Sg@0P#0w~kA>OKQ-UnyHy<%`c$mfP2{>LE!A{5DNQ~~r<kmJsC{bR=
z9pbt)(wRwK!$otmAw*|=#-Bu7pAw4*Vmj^n9)`RvL1^pvh(q6e(d_MscVFFM)$UB1
z4@cboW`~D|U*q2tsy9X~p(tREDm7DRxEf*ckta~hH-KZ9KH3Ftqpau#a^_xxgvb?)
z+FT+(&_&2*Uc}pgONcbOg7-JC<B^>n3?%Pkzt|IOKW>6(8w)H*vc@xB2i!hO8N&5`
z_-h^t&3$p0E}w-nY2~Ctp?w>jrAOBCFrR(G>?yH#g|lT?Ym_`2HdA1(V#;hkX0eV%
zv)G0vCCZIgU`oU!(DajKyY5M`cR~`Z)Kr972njF;e>!uTN0DFIkI7W)|2NTuy9;Zu
jB%~DkZSrADo-~D(DJUT3^oiOiK=d1$u7%(f*BAUBvI1uw

literal 0
HcmV?d00001


From 388013ee2b3b1e5862bdeea0e417b7decf3bf2d7 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Mon, 23 Aug 2021 17:40:29 -0400
Subject: [PATCH 30/73] Used RK4 to train the Lorenz63 model

---
 .../Lorenz63Train_fitRandomSample_RK4.ipynb   | 542 ++++++++++++++++++
 .../lorenz63/Lorenz63_fitRandomSample_RK4.mat | Bin 0 -> 120184 bytes
 torchts/nn/models/ode.py                      |  91 ++-
 3 files changed, 585 insertions(+), 48 deletions(-)
 create mode 100644 examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb
 create mode 100644 examples/ode/lorenz63/Lorenz63_fitRandomSample_RK4.mat

diff --git a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb
new file mode 100644
index 00000000..c1196860
--- /dev/null
+++ b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb
@@ -0,0 +1,542 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3\n",
+    "\n",
+    "import time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Lorenz 63 equations\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"sigma\"]*(prev_val[\"y\"]-prev_val[\"x\"])\n",
+    "\n",
+    "def y_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x\"]*(coeffs[\"rho\"]-prev_val[\"z\"])-prev_val[\"y\"]\n",
+    "\n",
+    "def z_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x\"]*prev_val[\"y\"]-coeffs[\"beta\"]*prev_val[\"z\"]\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
+    "\n",
+    "# Initial conditions [1,0,0]\n",
+    "ode_init = {\"x\":1, \"y\":0, \"z\":0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"sigma\": 10., \"rho\": 28., \"beta\": 2.7}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None,\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 9.1793e-01,  2.6634e-01,  1.2636e-03],\n",
+       "        [ 8.6792e-01,  5.1173e-01,  4.6540e-03],\n",
+       "        ...,\n",
+       "        [-5.6997e+00, -5.8341e+00,  2.3410e+01],\n",
+       "        [-5.7226e+00, -6.0452e+00,  2.3121e+01],\n",
+       "        [-5.7641e+00, -6.2715e+00,  2.2854e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 5
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "<ipython-input-6-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:16:25.805405</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mf4a67d91a1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m8b1083c2a2\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p5082b9307e)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p5082b9307e\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:16:26.325065</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#p9fca97bdef)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9fca97bdef\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,0], result_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"sigma\": 20*torch.rand(()), \"rho\": 20*torch.rand(()), \"beta\": 20*torch.rand(())} # Start with arbitrary values\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(1.2093, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.9404, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(10.5588, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.4382, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(0.1849, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.7062, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(15.4156, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.9210, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(0.1927, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(8.8946, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(19.8962, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.5725, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(0.0562, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.5613, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(23.4593, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6274, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(0.0077, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.4414, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(25.6629, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7141, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(0.0116, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.3946, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(25.9312, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6659, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(0.0058, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.3654, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(26.1409, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7030, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(0.0102, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.4023, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(26.4010, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7990, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(0.0055, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.3004, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(26.6028, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6603, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(0.0035, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.2848, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(26.7734, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6892, requires_grad=True)}\n",
+      "Time elapsed:  275.59698009490967\n"
+     ]
+    }
+   ],
+   "source": [
+    "start = time.time()\n",
+    "\n",
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,\n",
+    "    torch.optim.Adam,\n",
+    "    {\"lr\": 0.5},\n",
+    "    max_epochs=10,\n",
+    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    scheduler_params={\"milestones\": [5],\"gamma\": 0.2}\n",
+    ")\n",
+    "\n",
+    "end = time.time()\n",
+    "print(\"Time elapsed: \", end-start)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'sigma': Parameter containing:\n",
+       " tensor(10.2848, requires_grad=True),\n",
+       " 'rho': Parameter containing:\n",
+       " tensor(26.7734, requires_grad=True),\n",
+       " 'beta': Parameter containing:\n",
+       " tensor(2.6892, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 23
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs\n",
+    "\n",
+    "# The parameters are much closer"
+   ]
+  },
+  {
+   "source": [
+    "# Runge-Kutta method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"sigma\": 20*torch.rand(()), \"rho\": 20*torch.rand(()), \"beta\": 20*torch.rand(())} # Start with arbitrary values\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(0.1864, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(8.5778, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.2335, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(1.8332, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(0.1115, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.1605, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(22.1723, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.9570, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(0.0108, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.4601, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(25.7092, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7110, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(0.0009, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.3885, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.4616, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6041, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(6.4546e-05, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.1443, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.1095, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7479, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(3.7090e-05, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.1081, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.1261, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6998, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(5.6099e-05, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.0971, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.1131, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6914, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(2.8364e-05, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.0862, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.0929, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7032, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(1.3191e-05, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.0769, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.0706, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7000, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(1.2478e-05, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.0535, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.0544, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6995, requires_grad=True)}\n",
+      "Time elapsed:  302.162636756897\n"
+     ]
+    }
+   ],
+   "source": [
+    "start = time.time()\n",
+    "\n",
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,\n",
+    "    torch.optim.Adam,\n",
+    "    {\"lr\": 0.5},\n",
+    "    max_epochs=10,\n",
+    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    scheduler_params={\"milestones\": [5],\"gamma\": 0.2}\n",
+    ")\n",
+    "\n",
+    "end = time.time()\n",
+    "print(\"Time elapsed: \", end-start)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'sigma': Parameter containing:\n",
+       " tensor(10.0535, requires_grad=True),\n",
+       " 'rho': Parameter containing:\n",
+       " tensor(28.0544, requires_grad=True),\n",
+       " 'beta': Parameter containing:\n",
+       " tensor(2.6995, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 26
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs\n",
+    "\n",
+    "# The parameters are much closer"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt = 10000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_test = ode_solver_train(10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 9.1754e-01,  2.6679e-01,  1.2654e-03],\n",
+       "        [ 8.6738e-01,  5.1253e-01,  4.6595e-03],\n",
+       "        ...,\n",
+       "        [-5.4541e+00, -8.4214e+00,  1.7792e+01],\n",
+       "        [-5.7615e+00, -8.9102e+00,  1.7798e+01],\n",
+       "        [-6.0874e+00, -9.4245e+00,  1.7859e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 28
+    }
+   ],
+   "source": [
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "<ipython-input-29-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:38:11.814001</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m330d5eceb1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"29.348737\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(18.796393 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"71.768331\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −15 -->\n      <g transform=\"translate(61.215988 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"114.187926\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −10 -->\n      <g transform=\"translate(103.635582 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"156.60752\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −5 -->\n      <g transform=\"translate(149.236426 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"199.027114\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0 -->\n      <g transform=\"translate(195.845864 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.446708\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5 -->\n      <g transform=\"translate(238.265458 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"283.866303\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(277.503803 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"326.285897\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 15 -->\n      <g transform=\"translate(319.923397 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"368.705491\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(362.342991 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mccc263628a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"211.202667\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.001886)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"161.189334\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 164.988553)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"111.176001\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 114.97522)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"61.162668\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.961887)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"11.149335\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.948554)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p5fa4cf41e2)\" d=\"M 207.511033 261.216 \nL 206.19474 261.166777 \nL 206.208519 261.132263 \nL 207.301553 260.965927 \nL 212.388379 260.269663 \nL 217.75888 259.256623 \nL 222.62645 258.060557 \nL 225.531377 257.218102 \nL 228.795859 256.155499 \nL 232.457885 254.816587 \nL 236.558133 253.131872 \nL 241.139279 251.015939 \nL 246.244868 248.364719 \nL 251.917561 245.052853 \nL 258.196533 240.9316 \nL 265.113767 235.827996 \nL 272.688917 229.546369 \nL 280.92243 221.873775 \nL 289.786775 212.591411 \nL 299.215678 201.494383 \nL 309.091886 188.422098 \nL 319.234552 173.300336 \nL 329.388391 156.19339 \nL 339.217899 137.359739 \nL 348.310901 117.298391 \nL 356.195769 96.766814 \nL 362.375417 76.74969 \nL 366.37711 58.364948 \nL 367.812273 42.712029 \nL 366.434442 30.692414 \nL 362.181511 22.852151 \nL 355.190023 19.296 \nL 345.777382 19.699626 \nL 334.396486 23.410218 \nL 321.575135 29.596216 \nL 307.854578 37.39794 \nL 293.738749 46.043205 \nL 252.904404 71.696425 \nL 240.653113 79.165152 \nL 229.311239 85.903665 \nL 218.92363 91.913931 \nL 200.989959 101.933472 \nL 180.507228 112.950385 \nL 156.0663 126.067647 \nL 148.81924 129.944413 \nL 145.00079 131.819264 \nL 141.709006 133.185586 \nL 138.769434 134.069821 \nL 136.058854 134.487775 \nL 133.497426 134.452127 \nL 131.041924 133.978501 \nL 128.679933 133.090565 \nL 126.424653 131.824378 \nL 124.309871 130.231689 \nL 122.384715 128.381773 \nL 120.70778 126.361286 \nL 119.340677 124.271676 \nL 118.341071 122.223983 \nL 117.755655 120.331274 \nL 117.613878 118.699712 \nL 117.712627 118.010919 \nL 117.923193 117.419569 \nL 118.242654 116.933208 \nL 118.666552 116.557589 \nL 119.188957 116.296604 \nL 119.802578 116.152256 \nL 120.498905 116.124716 \nL 122.10066 116.412125 \nL 123.90895 117.127819 \nL 125.831687 118.220726 \nL 127.776463 119.626092 \nL 129.656124 121.271571 \nL 131.393017 123.082309 \nL 132.921573 124.98469 \nL 134.18953 126.908631 \nL 135.157977 128.788814 \nL 135.800601 130.56502 \nL 136.102557 132.182024 \nL 136.059255 133.589336 \nL 135.675297 134.741043 \nL 134.963788 135.595897 \nL 134.49153 135.900543 \nL 133.331162 136.244721 \nL 131.912027 136.214901 \nL 130.276817 135.794886 \nL 128.477588 134.980603 \nL 126.575993 133.78307 \nL 124.642932 132.231352 \nL 122.757268 130.374969 \nL 121.003275 128.284854 \nL 119.466709 126.05227 \nL 118.229546 123.78503 \nL 117.363764 121.600924 \nL 116.924792 119.618727 \nL 116.8767 118.738194 \nL 116.945724 117.947893 \nL 117.131814 117.258422 \nL 117.43316 116.678652 \nL 117.846175 116.215577 \nL 118.365579 115.874176 \nL 118.984492 115.657386 \nL 119.694613 115.566124 \nL 120.48638 115.599359 \nL 122.271588 116.026299 \nL 124.24694 116.896949 \nL 126.313783 118.15066 \nL 128.375012 119.714435 \nL 130.3408 121.509452 \nL 132.132658 123.456144 \nL 133.685746 125.477681 \nL 134.949645 127.501974 \nL 135.887982 129.46245 \nL 136.477323 131.298133 \nL 136.705774 132.953228 \nL 136.571623 134.376699 \nL 136.082229 135.522024 \nL 135.708927 135.977105 \nL 135.253373 136.347335 \nL 134.71882 136.628333 \nL 134.109045 136.816105 \nL 132.681694 136.898505 \nL 131.012797 136.573511 \nL 129.153534 135.831641 \nL 127.165317 134.678265 \nL 125.119826 133.137021 \nL 123.098065 131.25286 \nL 121.188209 129.0939 \nL 119.481912 126.751194 \nL 118.068974 124.335694 \nL 117.030767 121.971993 \nL 116.433044 119.789061 \nL 116.313938 118.804149 \nL 116.319116 117.909077 \nL 116.449622 117.116191 \nL 116.704566 116.436078 \nL 117.081117 115.877324 \nL 117.574564 115.446387 \nL 118.17838 115.147492 \nL 118.884391 114.982625 \nL 119.682962 114.951603 \nL 120.563203 115.052176 \nL 122.520383 115.629961 \nL 124.653515 116.664534 \nL 126.856553 118.085783 \nL 129.027243 119.812842 \nL 131.072888 121.760812 \nL 132.914125 123.845833 \nL 134.486854 125.98828 \nL 135.742496 128.114349 \nL 136.647184 130.156471 \nL 137.180272 132.053025 \nL 137.332693 133.747679 \nL 137.105436 135.188788 \nL 136.852195 135.799331 \nL 136.508409 136.329115 \nL 136.076614 136.772939 \nL 135.55986 137.125941 \nL 134.961721 137.383616 \nL 134.286309 137.541892 \nL 132.72297 137.546537 \nL 130.914541 137.118729 \nL 128.916082 136.249805 \nL 126.793686 134.947301 \nL 124.624542 133.238834 \nL 122.495908 131.175487 \nL 120.502635 128.833745 \nL 118.742873 126.314982 \nL 117.312047 123.741702 \nL 116.295418 121.250012 \nL 115.760084 118.978918 \nL 115.687047 117.96721 \nL 115.747583 117.057629 \nL 115.941991 116.262749 \nL 116.268475 115.593091 \nL 116.723119 115.056897 \nL 117.299991 114.660006 \nL 117.991253 114.405794 \nL 118.787357 114.295214 \nL 119.677266 114.326865 \nL 120.648716 114.497228 \nL 122.782698 115.230503 \nL 125.077405 116.432978 \nL 127.419388 118.024989 \nL 129.701384 119.917832 \nL 131.828036 122.020729 \nL 133.719372 124.245796 \nL 135.312242 126.510862 \nL 136.560077 128.740612 \nL 137.4316 130.866624 \nL 137.908959 132.82667 \nL 137.985826 134.563841 \nL 137.665754 136.025813 \nL 137.360384 136.638378 \nL 136.961037 137.164413 \nL 136.470531 137.598574 \nL 135.892198 137.935845 \nL 135.229905 138.17159 \nL 134.48808 138.30161 \nL 133.671728 138.322205 \nL 131.838667 138.023483 \nL 129.783952 137.260044 \nL 127.572395 136.031947 \nL 125.280964 134.359147 \nL 122.998296 132.285688 \nL 120.822808 129.882732 \nL 118.858848 127.249403 \nL 117.210806 124.51013 \nL 115.97539 121.807955 \nL 115.232832 119.293724 \nL 115.064801 118.153035 \nL 115.038271 117.112471 \nL 115.155071 116.186883 \nL 115.414732 115.389065 \nL 115.814479 114.729442 \nL 116.349263 114.215866 \nL 117.011867 113.853497 \nL 117.793075 113.644787 \nL 118.681884 113.589564 \nL 119.665802 113.685167 \nL 120.731114 113.926683 \nL 123.046979 114.81831 \nL 125.507881 116.191424 \nL 127.992879 117.956659 \nL 130.389717 120.017517 \nL 132.600522 122.277527 \nL 134.544861 124.644987 \nL 136.160686 127.035379 \nL 137.403525 129.372056 \nL 138.244699 131.58581 \nL 138.669102 133.613843 \nL 138.673026 135.398653 \nL 138.518826 136.183068 \nL 138.262414 136.887048 \nL 137.905856 137.504546 \nL 137.451718 138.02976 \nL 136.903066 138.457186 \nL 136.263485 138.781617 \nL 135.537105 138.998226 \nL 134.72863 139.102614 \nL 133.843381 139.090919 \nL 132.887332 138.959907 \nL 130.790314 138.330953 \nL 128.50025 137.207521 \nL 126.092796 135.600571 \nL 123.656822 133.545227 \nL 121.293196 131.10501 \nL 119.1116 128.37418 \nL 117.224989 125.476622 \nL 115.741887 122.560386 \nL 114.756885 119.787372 \nL 114.474481 118.505493 \nL 114.340787 117.319053 \nL 114.359501 116.245512 \nL 114.531894 115.300311 \nL 114.856711 114.496503 \nL 115.33019 113.844426 \nL 115.946085 113.351521 \nL 116.695852 113.022235 \nL 117.56882 112.858044 \nL 118.552486 112.857596 \nL 119.632823 113.016902 \nL 120.794619 113.329628 \nL 123.298015 114.380314 \nL 125.930995 115.925354 \nL 128.564913 117.865511 \nL 131.08246 120.096493 \nL 133.383207 122.516238 \nL 135.386319 125.029353 \nL 137.030862 127.549117 \nL 138.274469 129.997671 \nL 139.091018 132.305072 \nL 139.468034 134.40796 \nL 139.404269 136.248126 \nL 139.209303 137.052631 \nL 138.907844 137.771426 \nL 138.502183 138.3983 \nL 137.995098 138.927254 \nL 137.389871 139.352544 \nL 136.690296 139.668733 \nL 135.900726 139.870737 \nL 135.0261 139.95391 \nL 134.072005 139.91415 \nL 133.04472 139.748014 \nL 130.799521 139.026901 \nL 128.356694 137.781662 \nL 125.796613 136.024067 \nL 123.214185 133.792285 \nL 120.717594 131.155731 \nL 118.424755 128.217707 \nL 116.457187 125.11411 \nL 114.931244 122.007097 \nL 114.366241 120.507331 \nL 113.947513 119.073166 \nL 113.683353 117.726209 \nL 113.579757 116.486789 \nL 113.64018 115.373401 \nL 113.86539 114.402188 \nL 114.253381 113.586531 \nL 114.799379 112.936763 \nL 115.495948 112.459932 \nL 116.333162 112.159788 \nL 117.298859 112.036826 \nL 118.378969 112.088472 \nL 119.557869 112.309354 \nL 120.818779 112.69167 \nL 122.144164 113.225564 \nL 124.916866 114.700929 \nL 127.735208 116.631309 \nL 130.468587 118.904807 \nL 133.003643 121.410758 \nL 135.247997 124.045471 \nL 137.131161 126.714964 \nL 138.603319 129.335397 \nL 139.632829 131.832143 \nL 140.203229 134.13815 \nL 140.310328 136.19214 \nL 140.191586 137.106691 \nL 139.959843 137.937133 \nL 139.6171 138.676857 \nL 139.165839 139.319433 \nL 138.609011 139.858612 \nL 137.950056 140.288395 \nL 137.192931 140.603049 \nL 136.342153 140.797173 \nL 135.402852 140.865799 \nL 134.380819 140.80449 \nL 133.282581 140.609488 \nL 132.115465 140.277835 \nL 130.887663 139.807587 \nL 128.287468 138.449555 \nL 125.56684 136.547002 \nL 122.82668 134.140211 \nL 120.182713 131.303809 \nL 117.761715 128.149844 \nL 115.694677 124.8265 \nL 114.107009 121.510911 \nL 113.527692 119.916067 \nL 113.106642 118.395571 \nL 112.852572 116.972825 \nL 112.771647 115.669692 \nL 112.867216 114.505927 \nL 113.139645 113.49856 \nL 113.586246 112.661497 \nL 114.2013 112.005156 \nL 114.976181 111.536329 \nL 115.899587 111.258106 \nL 116.957827 111.170029 \nL 118.135207 111.268322 \nL 119.414442 111.546221 \nL 120.777094 111.994415 \nL 122.204045 112.601476 \nL 125.173541 114.238932 \nL 128.172035 116.34307 \nL 131.061585 118.792577 \nL 133.724331 121.469816 \nL 136.065938 124.266392 \nL 138.015949 127.085413 \nL 139.525912 129.841437 \nL 140.566284 132.45894 \nL 141.122921 134.870253 \nL 141.218815 135.979061 \nL 141.193822 137.013434 \nL 141.049165 137.966228 \nL 140.786559 138.830478 \nL 140.408172 139.599363 \nL 139.916621 140.266207 \nL 139.314982 140.824494 \nL 138.606798 141.267889 \nL 137.796131 141.590317 \nL 136.887596 141.785987 \nL 135.886433 141.849519 \nL 134.798568 141.776057 \nL 133.630699 141.561394 \nL 132.390373 141.202173 \nL 131.086068 140.696038 \nL 129.727251 140.041881 \nL 126.889361 138.292586 \nL 123.97443 135.978899 \nL 121.097769 133.159868 \nL 118.389859 129.934559 \nL 115.990682 126.443695 \nL 114.040558 122.865376 \nL 113.274844 121.106579 \nL 112.667824 119.403445 \nL 112.231377 117.782424 \nL 111.974904 116.268997 \nL 111.904974 114.886917 \nL 112.025035 113.657484 \nL 112.335248 112.598938 \nL 112.832401 111.72597 \nL 113.509933 111.049357 \nL 114.358118 110.575799 \nL 115.364293 110.307897 \nL 116.513233 110.244347 \nL 117.787573 110.380205 \nL 119.168284 110.707336 \nL 120.635196 111.214893 \nL 122.167482 111.889854 \nL 125.34455 113.682315 \nL 128.537436 115.957215 \nL 131.599848 118.583305 \nL 134.408562 121.435446 \nL 136.866601 124.40018 \nL 138.903014 127.377506 \nL 140.470338 130.280186 \nL 141.540824 133.031746 \nL 142.102421 135.563892 \nL 142.191992 136.727943 \nL 142.155097 137.813971 \nL 141.993146 138.8147 \nL 141.708006 139.722964 \nL 141.301969 140.531733 \nL 140.777743 141.234063 \nL 140.138466 141.823133 \nL 139.387724 142.292246 \nL 138.529603 142.634898 \nL 137.568741 142.844857 \nL 136.510395 142.91623 \nL 135.360533 142.843617 \nL 134.125915 142.622258 \nL 132.814203 142.248204 \nL 131.434033 141.718535 \nL 129.995132 141.031592 \nL 128.508374 140.187241 \nL 126.985853 139.187133 \nL 125.440921 138.034997 \nL 122.343475 135.3014 \nL 119.346891 132.066962 \nL 116.597111 128.458068 \nL 115.362651 126.565312 \nL 114.247288 124.646627 \nL 113.269342 122.72925 \nL 112.445907 120.841778 \nL 111.792349 119.013402 \nL 111.321807 117.273141 \nL 111.044718 115.648963 \nL 110.968413 114.16693 \nL 111.096791 112.850384 \nL 111.430111 111.719225 \nL 111.964879 110.789374 \nL 112.693926 110.072353 \nL 113.606562 109.575118 \nL 114.688865 109.300053 \nL 115.924118 109.245192 \nL 117.29326 109.404584 \nL 118.775463 109.768766 \nL 120.348689 110.325364 \nL 121.990259 111.059727 \nL 123.677413 111.955532 \nL 127.09987 114.16134 \nL 130.449339 116.799887 \nL 133.582126 119.732388 \nL 136.382785 122.832112 \nL 138.765097 125.987679 \nL 140.669876 129.102915 \nL 142.060996 132.094769 \nL 142.920714 134.890361 \nL 143.14967 136.19379 \nL 143.24522 137.423872 \nL 143.208455 138.573051 \nL 143.040937 139.633895 \nL 142.744652 140.59908 \nL 142.321972 141.461346 \nL 141.775642 142.213481 \nL 141.108807 142.848311 \nL 140.325021 143.358758 \nL 139.428316 143.737859 \nL 138.423248 143.97884 \nL 137.31499 144.075225 \nL 136.109426 144.020956 \nL 134.813253 143.810557 \nL 133.434087 143.439317 \nL 131.980586 142.903524 \nL 130.462552 142.200727 \nL 128.891041 141.330009 \nL 127.278436 140.292307 \nL 125.638517 139.090728 \nL 123.986461 137.730846 \nL 122.338856 136.221015 \nL 120.713597 134.572617 \nL 119.129731 132.800256 \nL 117.607284 130.921837 \nL 116.166926 128.958566 \nL 114.829647 126.934778 \nL 113.61628 124.877612 \nL 112.547019 122.816515 \nL 111.640863 120.782635 \nL 110.915037 118.807983 \nL 110.384412 116.924537 \nL 110.060962 115.16327 \nL 109.953305 113.553153 \nL 110.066278 112.120209 \nL 110.400715 110.886684 \nL 110.953291 109.870388 \nL 111.71657 109.084217 \nL 112.679184 108.535918 \nL 113.826165 108.228133 \nL 115.139399 108.158591 \nL 116.598163 108.320568 \nL 118.179763 108.703447 \nL 119.860169 109.293394 \nL 121.61468 110.07408 \nL 123.418505 111.027427 \nL 125.247363 112.134241 \nL 128.888322 114.729671 \nL 132.369301 117.705871 \nL 135.551595 120.919733 \nL 138.329042 124.245157 \nL 140.626731 127.574129 \nL 142.397055 130.814816 \nL 143.614484 133.888278 \nL 144.012593 135.340253 \nL 144.270211 136.724814 \nL 144.388075 138.034119 \nL 144.367443 139.260509 \nL 144.210011 140.396447 \nL 143.917844 141.434455 \nL 143.49336 142.367054 \nL 142.939299 143.186764 \nL 142.258754 143.886099 \nL 141.455178 144.45756 \nL 140.532456 144.893696 \nL 139.49496 145.187162 \nL 138.347655 145.330805 \nL 137.096192 145.317803 \nL 135.747027 145.141803 \nL 134.307555 144.797158 \nL 132.786241 144.279118 \nL 131.192755 143.584142 \nL 129.538094 142.710201 \nL 127.834693 141.657092 \nL 126.096518 140.426839 \nL 124.339119 139.024049 \nL 122.579624 137.456248 \nL 120.836716 135.734235 \nL 119.130468 133.872329 \nL 117.482182 131.888529 \nL 115.914086 129.804586 \nL 114.448954 127.645865 \nL 113.109652 125.441069 \nL 111.918575 123.221754 \nL 110.897051 121.02168 \nL 110.064692 118.875913 \nL 109.438724 116.819834 \nL 109.033346 114.888033 \nL 108.859165 113.113153 \nL 108.922719 111.524796 \nL 109.226111 110.148496 \nL 109.766858 109.004926 \nL 110.537848 108.109292 \nL 111.527526 107.471019 \nL 112.720245 107.09373 \nL 114.096741 106.975491 \nL 115.634748 107.109251 \nL 117.309709 107.483534 \nL 119.095491 108.083202 \nL 120.965135 108.890293 \nL 122.891561 109.884859 \nL 124.848214 111.045771 \nL 126.809609 112.351403 \nL 130.652696 115.311387 \nL 134.253051 118.601706 \nL 137.478305 122.077125 \nL 140.232077 125.613549 \nL 142.450609 129.10694 \nL 144.097187 132.469844 \nL 144.700367 134.07852 \nL 145.155873 135.627138 \nL 145.463986 137.10752 \nL 145.625614 138.511799 \nL 145.64216 139.832246 \nL 145.515436 141.06124 \nL 145.247587 142.191187 \nL 144.841048 143.214447 \nL 144.298529 144.123322 \nL 143.623016 144.910027 \nL 142.817802 145.566692 \nL 141.88654 146.085381 \nL 140.83332 146.458158 \nL 139.662749 146.67717 \nL 138.380088 146.73473 \nL 136.991362 146.623521 \nL 135.503519 146.336761 \nL 133.924569 145.86843 \nL 132.263751 145.213596 \nL 130.531696 144.368692 \nL 128.74055 143.331933 \nL 126.904127 142.103703 \nL 125.037986 140.686966 \nL 123.159483 139.087724 \nL 121.287759 137.315391 \nL 119.443658 135.38319 \nL 117.649583 133.308385 \nL 115.929208 131.11247 \nL 114.307121 128.821134 \nL 112.808355 126.464071 \nL 111.457815 124.074537 \nL 110.27961 121.688724 \nL 109.29634 119.344826 \nL 108.528336 117.082002 \nL 107.992905 114.939097 \nL 107.703623 112.953332 \nL 107.669738 111.159012 \nL 107.895693 109.58625 \nL 108.380847 108.259975 \nL 109.11936 107.199092 \nL 110.100316 106.41605 \nL 111.308052 105.916678 \nL 112.722656 105.700394 \nL 114.320641 105.760644 \nL 116.075693 106.085685 \nL 117.959529 106.659426 \nL 119.942737 107.462405 \nL 121.995607 108.472787 \nL 124.088868 109.667306 \nL 126.194353 111.022094 \nL 128.285534 112.51339 \nL 132.329485 115.814307 \nL 136.054113 119.400135 \nL 139.333462 123.124692 \nL 142.080552 126.866362 \nL 144.241978 130.525089 \nL 145.093848 132.296801 \nL 145.790915 134.017555 \nL 146.332791 135.678707 \nL 146.719895 137.272054 \nL 146.953281 138.789669 \nL 147.034502 140.223834 \nL 146.96549 141.566898 \nL 146.748476 142.811222 \nL 146.385923 143.949087 \nL 145.880501 144.972652 \nL 145.235083 145.873924 \nL 144.452758 146.644737 \nL 143.536893 147.276752 \nL 142.491189 147.761501 \nL 141.319785 148.090435 \nL 140.027382 148.255035 \nL 138.619364 148.246936 \nL 137.101973 148.058106 \nL 135.482471 147.681085 \nL 133.769321 147.109252 \nL 131.972373 146.337152 \nL 130.103057 145.360901 \nL 128.174535 144.178621 \nL 126.201862 142.790884 \nL 124.202092 141.201248 \nL 122.19432 139.416743 \nL 120.199679 137.448359 \nL 118.241238 135.311425 \nL 116.343785 133.025936 \nL 114.53352 130.616713 \nL 112.837596 128.113338 \nL 111.283561 125.549836 \nL 109.898675 122.964164 \nL 108.709119 120.397324 \nL 107.73915 117.892288 \nL 107.010217 115.492643 \nL 106.54012 113.241113 \nL 106.342208 111.177976 \nL 106.424744 109.339593 \nL 106.790428 107.756997 \nL 107.436146 106.454846 \nL 108.352974 105.450626 \nL 109.526405 104.754316 \nL 110.936834 104.368385 \nL 112.560223 104.288255 \nL 114.368943 104.503013 \nL 116.332709 104.996375 \nL 118.419561 105.747832 \nL 120.596821 106.733794 \nL 122.832004 107.928723 \nL 125.093603 109.306177 \nL 127.351796 110.839684 \nL 129.578921 112.50346 \nL 131.749902 114.27293 \nL 135.83722 118.038821 \nL 139.470295 121.975341 \nL 141.083931 123.964988 \nL 142.55003 125.949579 \nL 143.862171 127.916475 \nL 145.015827 129.854276 \nL 146.008111 131.752642 \nL 146.837501 133.6021 \nL 147.503596 135.393854 \nL 148.00689 137.119616 \nL 148.348568 138.771477 \nL 148.530338 140.341739 \nL 148.554292 141.822809 \nL 148.422778 143.207102 \nL 148.138339 144.486941 \nL 147.703651 145.654492 \nL 147.121499 146.701686 \nL 146.394795 147.620224 \nL 145.526598 148.401511 \nL 144.520187 149.036684 \nL 143.379148 149.516663 \nL 142.107486 149.832184 \nL 140.709768 149.973919 \nL 139.191281 149.932604 \nL 137.558218 149.699273 \nL 135.817879 149.265465 \nL 133.978879 148.623566 \nL 132.051369 147.767167 \nL 130.047254 146.691536 \nL 127.980394 145.394089 \nL 125.866793 143.874957 \nL 123.724721 142.137577 \nL 121.574784 140.189263 \nL 119.439936 138.041817 \nL 117.345365 135.71199 \nL 115.318272 133.221854 \nL 113.387493 130.599009 \nL 111.582997 127.876515 \nL 109.93523 125.092541 \nL 108.474313 122.289727 \nL 107.229149 119.514148 \nL 106.226395 116.813996 \nL 105.489469 114.237988 \nL 105.037543 111.833592 \nL 104.884674 109.645175 \nL 105.03904 107.712248 \nL 105.502446 106.067942 \nL 106.270102 104.737746 \nL 107.330657 103.738763 \nL 108.666553 103.079408 \nL 110.254626 102.759603 \nL 112.066978 102.771394 \nL 114.071959 103.099946 \nL 116.235286 103.724788 \nL 118.521199 104.621166 \nL 120.893538 105.761416 \nL 123.316737 107.116272 \nL 125.756725 108.656027 \nL 128.181607 110.351463 \nL 130.562191 112.174574 \nL 132.872352 114.099096 \nL 135.089237 116.100829 \nL 137.193303 118.157786 \nL 139.16825 120.25018 \nL 141.000862 122.360394 \nL 142.680771 124.472755 \nL 144.200184 126.573382 \nL 145.553573 128.649932 \nL 146.737347 130.691387 \nL 147.749567 132.687788 \nL 148.58962 134.630063 \nL 149.257961 136.509798 \nL 149.755858 138.319048 \nL 150.085186 140.050199 \nL 150.248238 141.695784 \nL 150.24757 143.248388 \nL 150.085902 144.700525 \nL 149.766016 146.044544 \nL 149.290733 147.272527 \nL 148.662871 148.37626 \nL 147.885276 149.347159 \nL 146.960846 150.176247 \nL 145.892626 150.854176 \nL 144.683894 151.371214 \nL 143.338289 151.717328 \nL 141.859978 151.882263 \nL 140.253826 151.855705 \nL 138.525606 151.627459 \nL 136.682241 151.187717 \nL 134.732028 150.527398 \nL 132.684902 149.638546 \nL 130.552708 148.514828 \nL 128.349428 147.152084 \nL 126.091429 145.548968 \nL 123.797628 143.707619 \nL 121.489635 141.634389 \nL 119.191772 139.340534 \nL 116.931006 136.842843 \nL 114.736739 134.164136 \nL 112.640437 131.333572 \nL 110.675077 128.386676 \nL 108.874457 125.365041 \nL 107.272257 122.315636 \nL 105.901036 119.28967 \nL 104.791079 116.341124 \nL 103.969173 113.52486 \nL 103.457472 110.894563 \nL 103.272385 108.500537 \nL 103.423733 106.387575 \nL 103.914098 104.59314 \nL 104.738528 103.145849 \nL 105.884579 102.06459 \nL 107.33272 101.358168 \nL 109.057044 101.025552 \nL 111.026271 101.056688 \nL 113.20493 101.4337 \nL 115.554688 102.132443 \nL 118.035632 103.124099 \nL 120.60759 104.376856 \nL 123.231249 105.857429 \nL 125.869164 107.532385 \nL 128.48652 109.369203 \nL 131.051714 111.337072 \nL 133.536728 113.407431 \nL 135.9173 115.554285 \nL 138.172948 117.754312 \nL 140.286853 119.986801 \nL 142.245634 122.233531 \nL 144.03905 124.478536 \nL 145.659673 126.707848 \nL 147.102506 128.9092 \nL 148.364621 131.071766 \nL 149.4448 133.185872 \nL 150.343189 135.242771 \nL 151.060997 137.234393 \nL 151.60021 139.153144 \nL 151.963358 140.991737 \nL 152.153304 142.743035 \nL 152.173094 144.399885 \nL 152.025816 145.955008 \nL 151.714527 147.400916 \nL 151.242176 148.729777 \nL 150.611608 149.933377 \nL 149.825553 151.003017 \nL 148.886682 151.92952 \nL 147.797675 152.703156 \nL 146.561322 153.31368 \nL 145.180663 153.750351 \nL 143.65915 154.002026 \nL 142.000844 154.057239 \nL 140.210636 153.90441 \nL 138.294502 153.532092 \nL 136.259763 152.929266 \nL 134.115405 152.085764 \nL 131.872362 150.992781 \nL 129.54383 149.64344 \nL 127.145568 148.033523 \nL 124.696146 146.16224 \nL 122.21716 144.033033 \nL 119.733353 141.654469 \nL 117.272628 139.041038 \nL 114.86591 136.213909 \nL 112.546849 133.201431 \nL 110.351312 130.039415 \nL 108.31667 126.771017 \nL 106.480846 123.446213 \nL 104.881211 120.120713 \nL 103.553253 116.854414 \nL 102.529196 113.709378 \nL 101.836591 110.747401 \nL 101.496951 108.027436 \nL 101.524614 105.602978 \nL 101.925858 103.519655 \nL 102.698368 101.813287 \nL 103.831151 100.508561 \nL 105.304842 99.618354 \nL 107.092469 99.143889 \nL 109.160502 99.075569 \nL 111.470242 99.394353 \nL 113.979326 100.073474 \nL 116.643294 101.080536 \nL 119.417128 102.379444 \nL 122.25662 103.932296 \nL 125.119575 105.701023 \nL 127.966769 107.648697 \nL 130.762635 109.740491 \nL 133.47571 111.944352 \nL 136.078871 114.23132 \nL 138.549349 116.575676 \nL 140.868592 118.95485 \nL 143.021996 121.34924 \nL 144.998561 123.741912 \nL 146.790488 126.118272 \nL 148.392745 128.465738 \nL 149.802624 130.773368 \nL 151.01932 133.031565 \nL 152.043539 135.231782 \nL 152.877136 137.366245 \nL 153.522781 139.427742 \nL 153.983691 141.409376 \nL 154.263385 143.304432 \nL 154.365504 145.106202 \nL 154.293645 146.80783 \nL 154.051262 148.402217 \nL 153.641584 149.881893 \nL 153.067583 151.238933 \nL 152.331967 152.464875 \nL 151.437211 153.550636 \nL 150.385617 154.486488 \nL 149.179418 155.262003 \nL 147.820892 155.866069 \nL 146.312527 156.286914 \nL 144.657207 156.512155 \nL 142.858451 156.528944 \nL 140.920657 156.324145 \nL 138.8494 155.884613 \nL 136.651755 155.197527 \nL 134.336638 154.250858 \nL 131.915175 153.033941 \nL 129.401067 151.538181 \nL 126.810944 149.757873 \nL 124.164696 147.691101 \nL 121.485727 145.340773 \nL 118.801128 142.715648 \nL 116.141731 139.831378 \nL 113.541957 136.711382 \nL 111.039467 133.387552 \nL 108.674611 129.900599 \nL 106.489552 126.299919 \nL 104.527154 122.642967 \nL 102.829627 118.993904 \nL 101.436966 115.42168 \nL 100.385262 111.997515 \nL 99.704996 108.791895 \nL 99.419468 105.871395 \nL 99.543445 103.295501 \nL 100.082145 101.11379 \nL 101.030762 99.363694 \nL 102.374409 98.069098 \nL 104.088676 97.239848 \nL 106.140624 96.872242 \nL 108.490204 96.950254 \nL 111.091969 97.447537 \nL 113.896928 98.329711 \nL 116.854418 99.556864 \nL 119.913852 101.085974 \nL 123.026298 102.873035 \nL 126.145751 104.874921 \nL 129.230122 107.050708 \nL 132.241917 109.362621 \nL 135.148608 111.776604 \nL 137.922746 114.262542 \nL 140.541878 116.794211 \nL 142.988273 119.34908 \nL 145.248542 121.907956 \nL 147.31316 124.454592 \nL 149.17598 126.975244 \nL 150.833691 129.458263 \nL 152.285315 131.89368 \nL 153.531734 134.272864 \nL 154.575233 136.588192 \nL 155.419109 138.832738 \nL 156.067331 141.000083 \nL 156.524236 143.084055 \nL 156.79429 145.078577 \nL 156.88189 146.977486 \nL 156.791207 148.774392 \nL 156.526085 150.462578 \nL 156.089961 152.034863 \nL 155.485843 153.483508 \nL 154.716297 154.800101 \nL 153.783494 155.975513 \nL 152.689277 156.999804 \nL 151.435249 157.862165 \nL 150.022923 158.550911 \nL 148.453867 159.05345 \nL 146.729928 159.356351 \nL 144.853459 159.445419 \nL 142.827604 159.305831 \nL 140.656615 158.922389 \nL 138.346203 158.279871 \nL 135.903938 157.363441 \nL 133.33967 156.159259 \nL 130.665973 154.655209 \nL 127.898571 152.8418 \nL 125.056798 150.713175 \nL 122.163955 148.268323 \nL 119.247608 145.512347 \nL 116.339756 142.457734 \nL 113.476817 139.125623 \nL 110.699398 135.546826 \nL 108.05175 131.762544 \nL 105.580944 127.824583 \nL 103.335696 123.794912 \nL 101.364859 119.744455 \nL 99.715636 115.751033 \nL 98.43157 111.89657 \nL 97.550471 108.263552 \nL 97.102422 104.931145 \nL 97.107972 101.971191 \nL 97.576791 99.444491 \nL 98.506815 97.397857 \nL 99.884072 95.861993 \nL 101.683131 94.850753 \nL 103.868231 94.361464 \nL 106.394913 94.376421 \nL 109.212025 94.865214 \nL 112.263983 95.787663 \nL 115.49306 97.09693 \nL 118.841509 98.742534 \nL 122.25348 100.673075 \nL 125.676609 102.838484 \nL 129.063158 105.191625 \nL 132.370854 107.689478 \nL 135.563299 110.293712 \nL 138.610095 112.970904 \nL 141.4867 115.692414 \nL 144.174071 118.434081 \nL 146.658194 121.17572 \nL 148.929491 123.900627 \nL 150.98222 126.594998 \nL 152.813828 129.247425 \nL 154.424366 131.848417 \nL 155.815903 134.389949 \nL 156.992019 136.865118 \nL 157.957344 139.267797 \nL 158.717156 141.592378 \nL 159.27705 143.833519 \nL 159.642645 145.985992 \nL 159.819379 148.044474 \nL 159.812316 150.003405 \nL 159.626031 151.856879 \nL 159.264513 153.598485 \nL 158.731129 155.221232 \nL 158.028601 156.717412 \nL 157.159032 158.078516 \nL 156.123959 159.295128 \nL 154.924432 160.356841 \nL 153.561136 161.252179 \nL 152.034534 161.96856 \nL 150.345062 162.492248 \nL 148.493347 162.80837 \nL 146.48047 162.900978 \nL 144.308279 162.753195 \nL 141.979751 162.347403 \nL 139.499394 161.665602 \nL 136.873704 160.689876 \nL 134.111663 159.402998 \nL 131.225268 157.789284 \nL 128.230079 155.835572 \nL 125.145765 153.532473 \nL 121.996611 150.875753 \nL 118.811937 147.867931 \nL 115.626374 144.519908 \nL 112.479962 140.852606 \nL 109.417946 136.898391 \nL 106.49028 132.702135 \nL 103.75067 128.321704 \nL 101.25526 123.827603 \nL 99.060848 119.30168 \nL 97.222717 114.834708 \nL 95.79219 110.522942 \nL 94.814042 106.463699 \nL 94.323968 102.750426 \nL 94.346372 99.467596 \nL 94.892612 96.685978 \nL 95.959979 94.458898 \nL 97.531474 92.819743 \nL 99.576456 91.781087 \nL 102.052084 91.335411 \nL 104.905452 91.457266 \nL 108.076128 92.106491 \nL 111.498989 93.232031 \nL 115.107011 94.776003 \nL 118.833872 96.677469 \nL 122.616187 98.875702 \nL 126.395291 101.312723 \nL 130.118519 103.935139 \nL 133.740003 106.695265 \nL 137.221046 109.551566 \nL 140.530085 112.468689 \nL 143.642394 115.417101 \nL 146.539557 118.372534 \nL 149.208809 121.315308 \nL 151.642275 124.229598 \nL 153.83623 127.102774 \nL 155.790319 129.924734 \nL 157.506863 132.68734 \nL 158.990187 135.383962 \nL 160.246052 138.009031 \nL 161.281137 140.557718 \nL 162.102601 143.025646 \nL 162.717732 145.408674 \nL 163.13364 147.702682 \nL 163.357034 149.903424 \nL 163.39403 152.006369 \nL 163.250024 154.006595 \nL 162.929612 155.898646 \nL 162.436533 157.676435 \nL 161.773646 159.333113 \nL 160.942962 160.860973 \nL 159.945674 162.251314 \nL 158.782235 163.494359 \nL 157.452472 164.57911 \nL 155.955697 165.493279 \nL 154.29089 166.223177 \nL 152.456899 166.753657 \nL 150.452679 167.068081 \nL 148.277595 167.148364 \nL 145.931765 166.975035 \nL 143.41646 166.527471 \nL 140.734566 165.784179 \nL 137.89113 164.723306 \nL 134.893931 163.323311 \nL 131.754134 161.563865 \nL 128.486981 159.427027 \nL 125.112471 156.898706 \nL 121.656057 153.970365 \nL 118.149212 150.64102 \nL 114.629907 146.919344 \nL 111.142804 142.825865 \nL 107.739174 138.394942 \nL 104.476375 133.676344 \nL 101.416835 128.736119 \nL 98.626464 123.656421 \nL 96.172503 118.534044 \nL 94.12083 113.477478 \nL 92.532862 108.602464 \nL 91.462259 104.026316 \nL 90.951667 99.861396 \nL 91.029865 96.208403 \nL 91.709541 93.150241 \nL 92.986041 90.747181 \nL 94.837198 89.033963 \nL 97.224319 88.018964 \nL 100.094176 87.685738 \nL 103.381863 87.996241 \nL 107.014198 88.895491 \nL 110.913322 90.316806 \nL 115.000203 92.187117 \nL 119.1978 94.431673 \nL 123.433675 96.978014 \nL 127.641993 99.75883 \nL 131.764834 102.713796 \nL 135.752921 105.790511 \nL 139.5658 108.944686 \nL 143.171581 112.139784 \nL 146.546382 115.346291 \nL 149.673537 118.540836 \nL 152.542686 121.705217 \nL 155.14882 124.825432 \nL 157.491317 127.890853 \nL 159.573043 130.89342 \nL 161.399511 133.827027 \nL 162.978145 136.686971 \nL 164.317617 139.469534 \nL 165.427306 142.171603 \nL 166.316821 144.790442 \nL 166.995635 147.323447 \nL 167.472775 149.767975 \nL 167.756592 152.121193 \nL 167.854581 154.379963 \nL 167.773259 156.540716 \nL 167.518082 158.59937 \nL 167.093393 160.551203 \nL 166.502412 162.39074 \nL 165.747244 164.111647 \nL 164.828913 165.706615 \nL 163.747432 167.167233 \nL 162.501863 168.483816 \nL 161.090438 169.64531 \nL 159.510699 170.639123 \nL 157.759635 171.450973 \nL 155.833909 172.064788 \nL 153.730078 172.462576 \nL 151.444906 172.624382 \nL 148.975702 172.528283 \nL 146.320743 172.15046 \nL 143.479779 171.465463 \nL 140.454613 170.446534 \nL 137.249765 169.066276 \nL 133.873248 167.297492 \nL 130.337385 165.114388 \nL 126.659734 162.494175 \nL 122.863979 159.419024 \nL 118.980851 155.87846 \nL 115.048894 151.872075 \nL 111.115028 147.412506 \nL 107.234812 142.528353 \nL 103.472214 137.266893 \nL 99.898773 131.696017 \nL 96.592032 125.905031 \nL 93.633192 120.003838 \nL 91.103961 114.120111 \nL 89.08271 108.394307 \nL 87.640144 102.972625 \nL 86.834922 97.998431 \nL 86.709529 93.602957 \nL 87.28692 89.896486 \nL 88.568372 86.960962 \nL 90.532801 84.845243 \nL 93.137649 83.56345 \nL 96.321311 83.096482 \nL 100.006738 83.396455 \nL 104.105885 84.393005 \nL 108.524525 86.000642 \nL 113.166871 88.126109 \nL 117.939795 90.674968 \nL 122.756224 93.556825 \nL 127.537709 96.689107 \nL 132.216039 99.999258 \nL 136.734051 103.425741 \nL 141.045738 106.917921 \nL 145.11579 110.435323 \nL 148.918746 113.946467 \nL 152.437905 117.427506 \nL 155.664101 120.860819 \nL 158.594454 124.233758 \nL 161.231143 127.53746 \nL 163.580282 130.765936 \nL 165.650892 133.915227 \nL 167.454009 136.982813 \nL 169.001918 139.967122 \nL 170.307512 142.86716 \nL 171.383769 145.682223 \nL 172.243327 148.411708 \nL 172.898166 151.054939 \nL 173.359347 153.611067 \nL 173.636836 156.078967 \nL 173.739374 158.457139 \nL 173.674392 160.743659 \nL 173.447968 162.936082 \nL 173.064802 165.031358 \nL 172.528226 167.025775 \nL 171.840221 168.914811 \nL 171.00146 170.693058 \nL 170.011353 172.354076 \nL 168.868109 173.890245 \nL 167.568818 175.292615 \nL 166.109538 176.550714 \nL 164.485406 177.652349 \nL 162.690773 178.583431 \nL 160.719374 179.327734 \nL 158.564521 179.866684 \nL 156.219379 180.179191 \nL 153.677265 180.241454 \nL 150.932036 180.026906 \nL 147.978596 179.506185 \nL 144.813458 178.647315 \nL 141.435465 177.416032 \nL 137.846622 175.776467 \nL 134.053085 173.692133 \nL 130.066251 171.127372 \nL 125.903995 168.049388 \nL 121.591969 164.430869 \nL 117.164882 160.253234 \nL 112.667711 155.510511 \nL 108.15664 150.213632 \nL 103.699576 144.394877 \nL 99.376004 138.111979 \nL 95.275983 131.451248 \nL 91.498077 124.528999 \nL 88.146035 117.490388 \nL 85.324327 110.505132 \nL 83.132585 103.759788 \nL 81.659403 97.44685 \nL 80.976062 91.751591 \nL 81.1308 86.83821 \nL 82.14446 82.837109 \nL 84.008084 79.835344 \nL 86.682789 77.871472 \nL 90.102074 76.93563 \nL 94.176196 76.974512 \nL 98.798079 77.900033 \nL 103.850018 79.600124 \nL 109.210423 81.95007 \nL 114.759984 84.822674 \nL 120.386781 88.096499 \nL 125.99005 91.661636 \nL 131.482648 95.423072 \nL 136.792209 99.301917 \nL 141.861288 103.235146 \nL 146.646693 107.174175 \nL 151.118256 111.082926 \nL 155.257267 114.935672 \nL 159.054769 118.714899 \nL 162.509812 122.409388 \nL 165.627815 126.012586 \nL 168.419044 129.52126 \nL 170.897285 132.934445 \nL 173.078698 136.252667 \nL 174.980845 139.477318 \nL 176.621914 142.610277 \nL 178.020075 145.653595 \nL 179.193004 148.609324 \nL 180.157497 151.479371 \nL 180.929205 154.265453 \nL 181.522439 156.96902 \nL 181.950055 159.591246 \nL 182.223369 162.132989 \nL 182.352134 164.594783 \nL 182.344533 166.976809 \nL 182.207202 169.278897 \nL 181.945256 171.500453 \nL 181.562332 173.64043 \nL 181.060635 175.697291 \nL 180.440988 177.668909 \nL 179.702868 179.552489 \nL 178.844452 181.344491 \nL 177.862662 183.040476 \nL 176.753196 184.634987 \nL 175.510572 186.121365 \nL 174.128162 187.491569 \nL 172.598238 188.73594 \nL 170.912029 189.842965 \nL 169.059784 190.798968 \nL 167.030875 191.58781 \nL 164.813921 192.190536 \nL 162.396968 192.585009 \nL 159.767714 192.745527 \nL 156.913837 192.642478 \nL 153.82341 192.24201 \nL 150.485455 191.505806 \nL 146.890629 190.391045 \nL 143.032134 188.850564 \nL 138.906801 186.833454 \nL 134.516446 184.286116 \nL 129.869457 181.154058 \nL 124.98262 177.384524 \nL 119.88318 172.930249 \nL 114.610958 167.754347 \nL 109.22048 161.836422 \nL 103.782807 155.179746 \nL 98.386787 147.819023 \nL 93.139299 139.827886 \nL 88.164118 131.325005 \nL 83.598887 122.477213 \nL 79.59001 113.498016 \nL 76.285341 104.64014 \nL 73.824972 96.181502 \nL 72.330924 88.405248 \nL 71.896799 81.575958 \nL 72.578837 75.915499 \nL 74.389717 71.582526 \nL 77.296177 68.659307 \nL 81.220925 67.14815 \nL 86.048543 66.977702 \nL 91.634554 68.01716 \nL 97.816233 70.095351 \nL 104.423736 73.020974 \nL 111.290285 76.60082 \nL 118.260478 80.654044 \nL 125.196252 85.021625 \nL 131.980493 89.571101 \nL 138.518503 94.197502 \nL 144.737751 98.82171 \nL 150.586397 103.387126 \nL 156.031044 107.855681 \nL 161.054082 112.203821 \nL 165.65094 116.418821 \nL 169.82743 120.495693 \nL 173.597308 124.434655 \nL 176.980136 128.239228 \nL 179.999466 131.914829 \nL 182.681328 135.467793 \nL 185.053014 138.904703 \nL 187.142126 142.232006 \nL 188.975846 145.45575 \nL 190.580406 148.581488 \nL 191.980711 151.614237 \nL 193.200092 154.558481 \nL 195.180785 160.197086 \nL 196.674193 165.524587 \nL 197.804665 170.563171 \nL 198.671947 175.331412 \nL 199.647217 182.011435 \nL 202.312276 202.297576 \nL 203.258897 206.829004 \nL 204.032595 209.634571 \nL 204.957274 212.271124 \nL 206.070606 214.738055 \nL 207.417668 217.030346 \nL 209.053024 219.136639 \nL 211.043108 221.036374 \nL 212.195838 221.898818 \nL 213.468924 222.695477 \nL 214.87526 223.418937 \nL 216.429033 224.059982 \nL 218.145813 224.60722 \nL 220.042653 225.046613 \nL 222.138144 225.36094 \nL 224.452462 225.529134 \nL 227.007369 225.525538 \nL 229.82614 225.319012 \nL 232.933414 224.871949 \nL 236.354906 224.13917 \nL 240.116942 223.066768 \nL 244.245766 221.590945 \nL 248.766517 219.63697 \nL 253.701822 217.118465 \nL 259.069844 213.937275 \nL 264.881728 209.984357 \nL 271.138321 205.142244 \nL 277.826045 199.289744 \nL 284.912003 192.309715 \nL 292.338369 184.100687 \nL 300.016467 174.59288 \nL 307.821082 163.768499 \nL 315.586125 151.685181 \nL 323.10289 138.499655 \nL 330.122664 124.486816 \nL 336.365195 110.047599 \nL 341.534144 95.6987 \nL 345.339374 82.038976 \nL 347.524304 69.69245 \nL 347.894527 59.234988 \nL 346.342612 51.118811 \nL 342.863996 45.612582 \nL 337.560139 42.771935 \nL 330.628111 42.447333 \nL 322.338802 44.324759 \nL 313.008357 47.986643 \nL 302.968203 52.976701 \nL 292.538505 58.855401 \nL 282.007986 65.23829 \nL 271.621355 71.81578 \nL 252.010368 84.705245 \nL 234.696037 96.476667 \nL 220.040974 106.832087 \nL 213.704133 111.495281 \nL 207.989349 115.846283 \nL 202.854732 119.912432 \nL 198.252465 123.720744 \nL 194.131612 127.296183 \nL 190.440249 130.660794 \nL 184.142205 136.829298 \nL 178.971404 142.337959 \nL 168.844852 153.567292 \nL 165.235892 157.060712 \nL 163.424018 158.580368 \nL 161.580172 159.939802 \nL 159.686555 161.130562 \nL 157.727207 162.142738 \nL 155.687929 162.964929 \nL 153.556265 163.584267 \nL 151.321519 163.986444 \nL 148.974836 164.155756 \nL 146.509362 164.075273 \nL 143.920446 163.727023 \nL 141.205922 163.092345 \nL 138.366466 162.152354 \nL 135.406016 160.88856 \nL 132.332232 159.283728 \nL 129.157013 157.322918 \nL 125.897021 154.994798 \nL 122.574187 152.293129 \nL 119.216158 149.218493 \nL 115.856608 145.780115 \nL 112.535352 141.997673 \nL 109.298177 137.90303 \nL 106.196362 133.541487 \nL 103.285727 128.972522 \nL 100.62523 124.269625 \nL 98.275084 119.519042 \nL 96.294441 114.817337 \nL 94.738691 110.267708 \nL 93.656631 105.975211 \nL 93.087631 102.041314 \nL 93.059118 98.558158 \nL 93.584549 95.603288 \nL 94.662224 93.235275 \nL 96.274934 91.490902 \nL 98.390622 90.384116 \nL 100.963915 89.906712 \nL 103.938444 90.030819 \nL 107.249667 90.712439 \nL 110.827963 91.895806 \nL 114.601694 93.517905 \nL 118.500098 95.512627 \nL 122.455688 97.814437 \nL 126.406205 100.36116 \nL 130.296009 103.09593 \nL 134.076884 105.968314 \nL 137.708402 108.934774 \nL 141.157866 111.958585 \nL 144.399936 115.009411 \nL 147.416028 118.062603 \nL 150.193564 121.098452 \nL 152.72516 124.101352 \nL 155.007776 127.059037 \nL 157.041896 129.961908 \nL 158.830764 132.802393 \nL 160.379686 135.574433 \nL 161.695399 138.273069 \nL 162.785538 140.894073 \nL 163.658177 143.43366 \nL 164.321452 145.888271 \nL 164.783261 148.254358 \nL 165.050996 150.528247 \nL 165.131392 152.70599 \nL 165.030365 154.783217 \nL 164.752924 156.755064 \nL 164.303135 158.616016 \nL 163.68408 160.359817 \nL 162.89788 161.979359 \nL 161.945723 163.466543 \nL 160.827941 164.812174 \nL 159.54409 166.005834 \nL 158.093077 167.035762 \nL 156.4733 167.888737 \nL 154.68285 168.549962 \nL 152.719719 169.00303 \nL 150.582088 169.229855 \nL 148.268634 169.21071 \nL 145.77892 168.924331 \nL 143.113848 168.348149 \nL 140.276165 167.458629 \nL 137.271068 166.231877 \nL 134.106857 164.644359 \nL 130.795662 162.67399 \nL 127.354199 160.301494 \nL 123.80457 157.512082 \nL 120.174978 154.297438 \nL 116.500393 150.658 \nL 112.823016 146.605406 \nL 109.192469 142.164926 \nL 105.665583 137.377654 \nL 102.305725 132.302162 \nL 99.181491 127.015204 \nL 96.364775 121.61115 \nL 93.928194 116.199876 \nL 91.941903 110.902882 \nL 90.470016 105.847766 \nL 89.56691 101.161334 \nL 89.273671 96.962083 \nL 89.615115 93.352665 \nL 90.597698 90.413439 \nL 92.208571 88.197807 \nL 94.415921 86.729997 \nL 97.170596 86.005316 \nL 100.408831 85.992915 \nL 104.055746 86.640385 \nL 108.02933 87.8795 \nL 112.244444 89.632305 \nL 116.616578 91.816935 \nL 121.065074 94.35244 \nL 125.515657 97.162637 \nL 129.902241 100.178597 \nL 134.168004 103.340136 \nL 138.265791 106.596218 \nL 142.158018 109.904758 \nL 145.816138 113.231879 \nL 149.219861 116.550912 \nL 152.356155 119.841307 \nL 155.218204 123.087517 \nL 157.804333 126.277969 \nL 160.116994 129.404165 \nL 162.161802 132.459923 \nL 163.946694 135.44075 \nL 165.481171 138.343316 \nL 166.775672 141.165065 \nL 167.841035 143.903899 \nL 168.688052 146.557948 \nL 169.32713 149.125371 \nL 169.768009 151.604202 \nL 170.019553 153.992229 \nL 170.089604 156.286895 \nL 169.984873 158.485175 \nL 169.710879 160.583513 \nL 169.271907 162.577691 \nL 168.671019 164.46275 \nL 167.910058 166.23285 \nL 166.989694 167.881191 \nL 165.909485 169.399817 \nL 164.667945 170.779531 \nL 163.26265 172.009699 \nL 161.690358 173.078099 \nL 159.947162 173.970757 \nL 158.028665 174.67177 \nL 155.930207 175.163177 \nL 153.647142 175.42482 \nL 151.175163 175.434302 \nL 148.510714 175.166954 \nL 145.65146 174.59599 \nL 142.596872 173.692763 \nL 139.348903 172.427252 \nL 135.912761 170.768819 \nL 132.297805 168.687308 \nL 128.51852 166.154513 \nL 124.595528 163.146137 \nL 120.556682 159.644237 \nL 116.438036 155.640102 \nL 112.28468 151.137521 \nL 108.151308 146.156306 \nL 104.102317 140.735616 \nL 100.211324 134.936865 \nL 96.559895 128.845506 \nL 93.235387 122.571232 \nL 90.327826 116.246027 \nL 87.925914 110.019677 \nL 86.112324 104.05273 \nL 84.958627 98.507238 \nL 84.520335 93.536182 \nL 84.832579 89.272712 \nL 85.907009 85.820674 \nL 87.730268 83.247776 \nL 90.264296 81.582254 \nL 93.448485 80.813426 \nL 97.203421 80.895884 \nL 101.435695 81.756346 \nL 106.043371 83.302092 \nL 110.92138 85.429716 \nL 115.966507 88.033063 \nL 121.081547 91.009778 \nL 126.178414 94.266052 \nL 131.180242 97.719464 \nL 136.022437 101.300255 \nL 140.652921 104.951388 \nL 145.031698 108.627676 \nL 149.129926 112.294397 \nL 152.928703 115.925669 \nL 156.417679 119.502834 \nL 159.593639 123.01291 \nL 162.459114 126.447225 \nL 165.021101 129.800313 \nL 167.289899 133.068987 \nL 169.278105 136.251618 \nL 170.999746 139.347602 \nL 172.469571 142.356932 \nL 173.702453 145.279922 \nL 174.71294 148.116982 \nL 175.514875 150.868465 \nL 176.12114 153.534553 \nL 176.543448 156.115187 \nL 176.792207 158.609997 \nL 176.876431 161.018228 \nL 176.803692 163.338716 \nL 176.580094 165.569812 \nL 176.210281 167.709293 \nL 175.697454 169.754335 \nL 175.0434 171.701379 \nL 174.248534 173.546048 \nL 173.311946 175.283028 \nL 172.231458 176.905909 \nL 171.003679 178.407059 \nL 169.624086 179.777415 \nL 168.087099 181.006295 \nL 166.386184 182.081148 \nL 164.513975 182.987357 \nL 162.462428 183.70794 \nL 160.223013 184.223319 \nL 157.78697 184.511043 \nL 155.145604 184.54558 \nL 152.290703 184.298131 \nL 149.215018 183.736558 \nL 145.912885 182.825475 \nL 142.380987 181.52651 \nL 138.619267 179.798927 \nL 134.632008 177.600617 \nL 130.429088 174.889638 \nL 126.02739 171.626362 \nL 121.452336 167.776412 \nL 116.739438 163.314363 \nL 111.935809 158.228292 \nL 107.101401 152.524877 \nL 102.309795 146.234881 \nL 97.648258 139.418346 \nL 93.216786 132.168736 \nL 89.125859 124.615119 \nL 85.492723 116.921246 \nL 82.436169 109.280736 \nL 80.06997 101.907907 \nL 78.495482 95.024559 \nL 77.79405 88.843807 \nL 78.020142 83.553071 \nL 79.196129 79.298511 \nL 81.309544 76.17367 \nL 84.313152 74.213766 \nL 88.128017 73.396745 \nL 92.649056 73.650261 \nL 97.752331 74.863182 \nL 103.303187 76.899266 \nL 109.164232 79.610904 \nL 115.202419 82.85117 \nL 121.294742 86.483044 \nL 127.332233 90.38547 \nL 133.222376 94.456399 \nL 138.89 98.613429 \nL 144.277036 102.792724 \nL 149.34141 106.946835 \nL 154.055376 111.042089 \nL 158.403569 115.055839 \nL 162.380928 118.973929 \nL 165.990705 122.788489 \nL 169.242594 126.496114 \nL 172.151073 130.096441 \nL 174.733956 133.591034 \nL 177.011187 136.982642 \nL 179.003841 140.274573 \nL 180.733324 143.470377 \nL 182.220753 146.573564 \nL 183.486478 149.587473 \nL 184.549743 152.515204 \nL 185.42844 155.359552 \nL 186.138951 158.123035 \nL 186.696065 160.807868 \nL 187.112932 163.415985 \nL 187.570387 168.408523 \nL 187.584445 173.110971 \nL 187.204236 177.529559 \nL 186.456874 181.666051 \nL 185.349338 185.516808 \nL 184.657554 187.332048 \nL 183.86995 189.071203 \nL 182.982307 190.731454 \nL 181.989333 192.309195 \nL 180.884656 193.799866 \nL 179.660838 195.197815 \nL 178.309351 196.496088 \nL 176.820587 197.686195 \nL 175.183858 198.757843 \nL 173.387398 199.698622 \nL 171.4184 200.49365 \nL 169.26307 201.125165 \nL 166.90672 201.572061 \nL 164.333912 201.809408 \nL 161.528694 201.807901 \nL 158.47489 201.533346 \nL 155.156563 200.946131 \nL 151.558611 200.000822 \nL 147.667558 198.64589 \nL 143.472602 196.823753 \nL 138.966957 194.471245 \nL 134.149484 191.520754 \nL 129.026733 187.902269 \nL 123.615316 183.546626 \nL 117.944617 178.390251 \nL 112.059713 172.381645 \nL 106.024309 165.489702 \nL 99.923394 157.713695 \nL 93.865077 149.094244 \nL 87.981167 139.724137 \nL 82.425651 129.757071 \nL 77.370589 119.411906 \nL 72.998876 108.969879 \nL 69.493875 98.762604 \nL 67.026476 89.150247 \nL 65.740727 80.491189 \nL 65.739959 73.107304 \nL 67.075523 67.250469 \nL 69.740106 63.077012 \nL 73.666925 60.63505 \nL 78.735078 59.866851 \nL 84.780093 60.625034 \nL 91.60796 62.698093 \nL 99.010401 65.839647 \nL 106.779335 69.795989 \nL 114.718972 74.328066 \nL 122.654627 79.226222 \nL 130.438158 84.317702 \nL 137.950243 89.468153 \nL 145.100203 94.579074 \nL 151.824033 99.582849 \nL 158.081341 104.436734 \nL 163.85178 109.117013 \nL 169.131364 113.613699 \nL 173.928958 117.926162 \nL 178.263121 122.059716 \nL 182.159377 126.023089 \nL 185.647921 129.826613 \nL 188.761764 133.481046 \nL 191.535254 136.996779 \nL 194.002957 140.383445 \nL 196.19881 143.649668 \nL 198.155527 146.803012 \nL 201.474034 152.796193 \nL 204.184114 158.404101 \nL 207.524474 166.153054 \nL 211.423112 175.321844 \nL 213.410919 179.414055 \nL 215.563086 183.165775 \nL 216.730833 184.907248 \nL 217.975443 186.553824 \nL 219.308807 188.100214 \nL 220.743019 189.539873 \nL 222.290476 190.864799 \nL 223.963956 192.065299 \nL 225.776677 193.129712 \nL 227.742329 194.044114 \nL 229.875073 194.791961 \nL 232.189478 195.353711 \nL 234.700423 195.706421 \nL 237.422912 195.823311 \nL 240.371805 195.673358 \nL 243.561426 195.220909 \nL 247.005028 194.4254 \nL 250.714097 193.241226 \nL 254.697427 191.617883 \nL 258.959978 189.50049 \nL 263.501442 186.830888 \nL 268.314534 183.549488 \nL 273.382994 179.598106 \nL 278.679359 174.923979 \nL 284.162551 169.485174 \nL 289.775521 163.257365 \nL 295.443161 156.24185 \nL 301.07084 148.474353 \nL 306.544015 140.033582 \nL 311.729478 131.048204 \nL 316.478648 121.700476 \nL 320.633274 112.224521 \nL 324.033691 102.897704 \nL 326.529134 94.024403 \nL 327.989346 85.912976 \nL 328.316081 78.8486 \nL 327.452928 73.065999 \nL 325.391853 68.72694 \nL 322.175285 65.90667 \nL 317.893324 64.591622 \nL 312.676493 64.688388 \nL 306.685169 66.041288 \nL 300.097286 68.454727 \nL 293.096032 71.715961 \nL 285.858896 75.615011 \nL 278.548999 79.95945 \nL 271.309152 84.583562 \nL 264.25856 89.352251 \nL 257.491792 94.161062 \nL 251.079551 98.933434 \nL 245.070657 103.61647 \nL 239.494744 108.176306 \nL 234.365274 112.593587 \nL 229.682567 116.859517 \nL 225.436661 120.972543 \nL 221.609874 124.93582 \nL 218.179016 128.755303 \nL 215.11726 132.438364 \nL 212.395636 135.992883 \nL 209.98425 139.426645 \nL 207.853201 142.747013 \nL 205.973274 145.960722 \nL 204.316439 149.07382 \nL 202.856178 152.091679 \nL 200.428033 157.860056 \nL 198.512472 163.297221 \nL 196.961807 168.427496 \nL 195.059553 175.588143 \nL 192.267964 186.205521 \nL 191.07693 190.015655 \nL 189.752045 193.580567 \nL 188.234215 196.896599 \nL 186.461168 199.953187 \nL 185.457825 201.378366 \nL 184.36428 202.730193 \nL 183.170464 204.004021 \nL 181.865542 205.194038 \nL 180.437829 206.293025 \nL 178.874708 207.292113 \nL 177.162569 208.180454 \nL 175.28676 208.944856 \nL 173.231551 209.569355 \nL 170.980142 210.034715 \nL 168.514709 210.317865 \nL 165.816514 210.391265 \nL 162.866103 210.222219 \nL 159.643612 209.772156 \nL 156.129214 208.995896 \nL 152.303774 207.841008 \nL 148.149739 206.247327 \nL 143.652317 204.146777 \nL 138.801057 201.463724 \nL 133.591827 198.116126 \nL 128.029288 194.017834 \nL 122.129868 189.08246 \nL 115.925211 183.229244 \nL 109.465958 176.391331 \nL 102.825622 168.526638 \nL 96.104143 159.631111 \nL 89.430441 149.753523 \nL 82.963234 139.010131 \nL 76.889059 127.596327 \nL 71.416677 115.791861 \nL 66.767211 103.955629 \nL 63.160055 92.507236 \nL 60.795362 81.894685 \nL 59.835231 72.551107 \nL 60.38614 64.847141 \nL 62.485906 59.048381 \nL 66.097544 55.28683 \nL 71.111577 53.552607 \nL 77.3563 53.706896 \nL 84.614109 55.511709 \nL 92.641029 58.668755 \nL 101.18631 62.858658 \nL 110.009447 67.77408 \nL 118.89317 73.142791 \nL 127.651702 78.740158 \nL 136.134666 84.392623 \nL 144.227406 89.974804 \nL 151.848775 95.402696 \nL 158.94731 100.625493 \nL 165.496669 105.617354 \nL 171.49091 110.370084 \nL 176.940005 114.887165 \nL 181.865827 119.179128 \nL 186.298712 123.260226 \nL 190.27461 127.146064 \nL 193.832807 130.852143 \nL 197.014137 134.392926 \nL 199.85963 137.781347 \nL 202.409525 141.028634 \nL 206.775609 147.136067 \nL 210.397733 152.771849 \nL 219.115416 167.10062 \nL 221.916656 171.016096 \nL 223.381749 172.799781 \nL 224.911143 174.459979 \nL 226.519947 175.989432 \nL 228.22273 177.379363 \nL 230.033623 178.619308 \nL 231.966376 179.696894 \nL 234.034384 180.597651 \nL 236.250663 181.304765 \nL 238.62776 181.798857 \nL 241.177613 182.057787 \nL 243.911313 182.056461 \nL 246.838769 181.766748 \nL 249.968282 181.157464 \nL 253.305975 180.194559 \nL 256.855087 178.841497 \nL 260.615116 177.059997 \nL 264.5808 174.81111 \nL 268.740932 172.05689 \nL 273.077077 168.76264 \nL 277.562176 164.899821 \nL 282.159164 160.449725 \nL 286.819706 155.407763 \nL 291.483234 149.788246 \nL 296.076467 143.629254 \nL 300.513693 136.997036 \nL 304.698029 129.989219 \nL 308.52393 122.735928 \nL 311.880988 115.397937 \nL 314.659086 108.161176 \nL 316.754636 101.227479 \nL 318.0774 94.801854 \nL 318.557271 89.077691 \nL 318.150202 84.221603 \nL 316.842479 80.360157 \nL 314.652686 77.570641 \nL 311.631044 75.877112 \nL 307.856204 75.252232 \nL 303.429886 75.624283 \nL 298.470054 76.887781 \nL 293.103549 78.915795 \nL 287.458879 81.572143 \nL 281.659932 84.721901 \nL 275.820943 88.239417 \nL 270.042951 92.013559 \nL 264.411745 95.950346 \nL 258.997083 99.973502 \nL 253.85296 104.023482 \nL 249.018626 108.055577 \nL 244.520108 112.037561 \nL 240.372003 115.947323 \nL 236.579355 119.770555 \nL 233.139491 123.498822 \nL 230.043738 127.127901 \nL 227.278956 130.656473 \nL 224.828867 134.085131 \nL 222.67519 137.415649 \nL 220.798573 140.65044 \nL 219.179344 143.792204 \nL 217.798101 146.843669 \nL 216.636161 149.807468 \nL 215.675903 152.686024 \nL 214.900993 155.481512 \nL 214.296552 158.19582 \nL 213.849243 160.830561 \nL 213.547327 163.387052 \nL 213.38066 165.866313 \nL 213.340692 168.269068 \nL 213.420421 170.595709 \nL 213.614353 172.846304 \nL 213.918451 175.020555 \nL 214.330082 177.117758 \nL 214.847967 179.136747 \nL 215.472132 181.075836 \nL 216.203867 182.932744 \nL 217.045688 184.704495 \nL 218.001308 186.387301 \nL 219.075611 187.976432 \nL 220.274629 189.466054 \nL 221.605523 190.849035 \nL 223.076555 192.116749 \nL 224.697068 193.258797 \nL 226.477441 194.262736 \nL 228.42903 195.11374 \nL 230.564082 195.794259 \nL 232.895613 196.283586 \nL 235.437228 196.557464 \nL 238.20287 196.587612 \nL 241.206478 196.341337 \nL 244.461522 195.781123 \nL 247.980406 194.864379 \nL 251.773661 193.543359 \nL 255.848939 191.76537 \nL 260.209758 189.473437 \nL 264.85394 186.607597 \nL 269.771785 183.106998 \nL 274.943938 178.913108 \nL 280.339045 173.974191 \nL 285.91126 168.251201 \nL 291.597841 161.725137 \nL 297.317158 154.405566 \nL 302.967386 146.339737 \nL 308.426532 137.621106 \nL 313.554185 128.395825 \nL 318.195568 118.865105 \nL 322.188134 109.281642 \nL 325.370655 99.938531 \nL 327.594332 91.150311 \nL 328.734849 83.227743 \nL 328.703829 76.449164 \nL 327.45809 71.033444 \nL 325.005068 67.11917 \nL 321.403454 64.754114 \nL 316.758811 63.896704 \nL 311.214897 64.428385 \nL 304.942066 66.173884 \nL 298.124492 68.924823 \nL 290.947811 72.462563 \nL 283.588615 76.577124 \nL 276.206466 81.080469 \nL 268.93873 85.813996 \nL 261.898061 90.650987 \nL 255.172051 95.495456 \nL 248.824521 100.278645 \nL 242.897855 104.954393 \nL 237.415934 109.494349 \nL 232.387256 113.88347 \nL 227.807993 118.116175 \nL 223.664822 122.193228 \nL 219.937411 126.119379 \nL 216.600559 129.90162 \nL 213.625954 133.547964 \nL 210.983598 137.066645 \nL 208.642923 140.465597 \nL 206.573639 143.752196 \nL 204.74636 146.933128 \nL 203.133039 150.014346 \nL 200.444385 155.89794 \nL 198.318161 161.437556 \nL 196.594165 166.6596 \nL 194.477638 173.940307 \nL 192.001149 182.688548 \nL 190.729425 186.670599 \nL 189.343823 190.395228 \nL 187.779672 193.859005 \nL 185.97091 197.051427 \nL 184.952913 198.540042 \nL 183.846604 199.9523 \nL 182.641823 201.283541 \nL 181.327718 202.527931 \nL 179.892654 203.678259 \nL 178.324145 204.725659 \nL 176.60878 205.659316 \nL 174.732182 206.466116 \nL 172.678979 207.130212 \nL 170.432817 207.63257 \nL 167.976413 207.950414 \nL 165.291672 208.056644 \nL 162.359884 207.919173 \nL 159.162046 207.500279 \nL 155.679304 206.755924 \nL 151.893606 205.635187 \nL 147.788581 204.079858 \nL 143.350689 202.024357 \nL 138.570758 199.39615 \nL 133.445891 196.116958 \nL 127.981843 192.105078 \nL 122.195841 187.279153 \nL 116.119853 181.563861 \nL 109.804125 174.897803 \nL 103.320777 167.243766 \nL 96.767062 158.601135 \nL 90.267646 149.019609 \nL 83.975211 138.612648 \nL 78.068453 127.568062 \nL 72.746715 116.152465 \nL 68.220684 104.706257 \nL 64.699138 93.626404 \nL 62.372698 83.336605 \nL 61.39624 74.247364 \nL 61.872519 66.712205 \nL 63.839852 60.987947 \nL 67.266177 57.207756 \nL 72.050784 55.372321 \nL 78.033476 55.36055 \nL 85.009486 56.955957 \nL 92.747562 59.882038 \nL 101.008326 63.838686 \nL 109.560532 68.53356 \nL 118.193623 73.704559 \nL 126.72603 79.132642 \nL 135.009331 84.646139 \nL 142.929011 90.118885 \nL 150.402693 95.464415 \nL 157.376754 100.628603 \nL 163.822147 105.582049 \nL 169.729967 110.313134 \nL 175.107181 114.82225 \nL 179.97276 119.117333 \nL 184.354336 123.210469 \nL 188.285401 127.115586 \nL 191.803039 130.846887 \nL 194.946141 134.41789 \nL 197.754038 137.840882 \nL 200.26549 141.12666 \nL 202.517966 144.284498 \nL 206.386729 150.245951 \nL 209.620388 155.771258 \nL 217.59895 169.930125 \nL 220.236778 173.838628 \nL 221.628553 175.628847 \nL 223.088829 177.302743 \nL 224.631932 178.853507 \nL 226.271866 180.272857 \nL 228.022394 181.550864 \nL 229.897117 182.675713 \nL 231.909511 183.633476 \nL 234.072909 184.407866 \nL 236.400433 184.979947 \nL 238.904885 185.327883 \nL 241.598518 185.426686 \nL 244.492757 185.24802 \nL 247.597788 184.760071 \nL 250.922021 183.927582 \nL 254.471424 182.712058 \nL 258.24865 181.072278 \nL 262.25203 178.965212 \nL 266.474344 176.347393 \nL 270.901452 173.176993 \nL 275.51073 169.416606 \nL 280.269503 165.036881 \nL 285.13345 160.021019 \nL 290.045215 154.369956 \nL 294.93345 148.108044 \nL 299.712532 141.288618 \nL 304.283233 133.998743 \nL 308.534707 126.362077 \nL 312.347946 118.538871 \nL 315.600826 110.722007 \nL 318.174621 103.128507 \nL 319.961576 95.986634 \nL 320.872829 89.519589 \nL 320.845806 83.927621 \nL 319.850099 79.371334 \nL 317.890954 75.95854 \nL 315.009794 73.737164 \nL 311.281647 72.694883 \nL 306.809841 72.765378 \nL 301.718661 73.839674 \nL 296.145013 75.780212 \nL 290.230002 78.435435 \nL 284.111384 81.652692 \nL 277.917407 85.288477 \nL 271.762323 89.21521 \nL 265.743692 93.324829 \nL 259.941217 97.529842 \nL 254.416851 101.76229 \nL 249.215837 105.971595 \nL 244.368383 110.121853 \nL 239.891675 114.188937 \nL 235.79199 118.157805 \nL 232.066804 122.020128 \nL 228.706732 125.772387 \nL 225.697277 129.414305 \nL 223.020341 132.947667 \nL 220.65551 136.375504 \nL 218.581093 139.701462 \nL 216.774975 142.929423 \nL 215.215267 146.063222 \nL 213.88081 149.106521 \nL 212.751539 152.062708 \nL 211.808739 154.934863 \nL 211.035206 157.725772 \nL 210.41535 160.437896 \nL 209.935229 163.073438 \nL 209.346643 168.122249 \nL 209.190228 172.884776 \nL 209.410811 177.369938 \nL 209.975098 181.582911 \nL 210.869589 185.524521 \nL 212.0989 189.190177 \nL 212.845222 190.916192 \nL 213.684647 192.56811 \nL 214.62245 194.142908 \nL 215.664929 195.636717 \nL 216.819426 197.044678 \nL 218.094333 198.360761 \nL 219.499113 199.577544 \nL 221.044316 200.685971 \nL 222.741584 201.675052 \nL 224.603653 202.531527 \nL 226.64432 203.239462 \nL 228.878398 203.779819 \nL 231.321612 204.129944 \nL 233.990447 204.263027 \nL 236.901899 204.147525 \nL 240.073141 203.74657 \nL 243.521024 203.017425 \nL 247.261425 201.911025 \nL 251.308341 200.371728 \nL 255.672748 198.337399 \nL 260.361106 195.740004 \nL 265.373517 192.506982 \nL 270.701469 188.563666 \nL 276.325208 183.837083 \nL 282.210744 178.26148 \nL 288.306667 171.785802 \nL 294.540993 164.383211 \nL 300.818452 156.062273 \nL 307.018724 146.879107 \nL 312.996342 136.948806 \nL 318.582984 126.45396 \nL 323.592794 115.647446 \nL 327.83121 104.846618 \nL 331.1071 94.416887 \nL 333.247465 84.744604 \nL 334.112997 76.201677 \nL 333.612438 69.10731 \nL 331.713246 63.69367 \nL 328.446635 60.082687 \nL 323.905895 58.278446 \nL 318.238264 58.176223 \nL 311.631756 59.585099 \nL 304.299123 62.258503 \nL 296.461505 65.926072 \nL 288.333747 70.32147 \nL 280.112872 75.202933 \nL 271.970259 80.365537 \nL 264.047484 85.645933 \nL 256.455219 90.92154 \nL 249.274525 96.106066 \nL 242.559623 101.143267 \nL 236.341564 106.000375 \nL 230.632167 110.661862 \nL 225.427919 115.124207 \nL 220.713534 119.391692 \nL 216.465098 123.4732 \nL 212.652724 127.379976 \nL 209.242733 131.124041 \nL 206.199388 134.717195 \nL 203.486245 138.170435 \nL 201.067169 141.493656 \nL 198.90706 144.695507 \nL 195.231377 150.763676 \nL 192.214013 156.421026 \nL 188.466638 164.200438 \nL 185.141815 171.174487 \nL 182.925922 175.378374 \nL 180.571405 179.211593 \nL 179.308156 180.981426 \nL 177.97014 182.647334 \nL 176.544463 184.203325 \nL 175.018225 185.64204 \nL 173.378421 186.954569 \nL 171.611869 188.130201 \nL 169.705159 189.156156 \nL 167.644638 190.017305 \nL 165.41645 190.695839 \nL 163.006609 191.17092 \nL 160.401167 191.418321 \nL 157.586433 191.410103 \nL 154.549321 191.114294 \nL 151.277804 190.494665 \nL 147.761533 189.51065 \nL 143.992624 188.117485 \nL 139.966647 186.266691 \nL 135.683853 183.907011 \nL 131.150634 180.985957 \nL 126.381196 177.452195 \nL 121.399503 173.258859 \nL 116.241265 168.36799 \nL 110.955977 162.756143 \nL 105.608745 156.420988 \nL 100.28161 149.388607 \nL 95.074026 141.720796 \nL 90.102106 133.521245 \nL 85.496186 124.939369 \nL 81.396456 116.170094 \nL 77.946466 107.448334 \nL 75.28478 99.037297 \nL 73.535286 91.210924 \nL 72.797234 84.232077 \nL 73.136146 78.329262 \nL 74.577053 73.675827 \nL 77.101049 70.375043 \nL 80.645872 68.453773 \nL 85.110436 67.8656 \nL 90.362649 68.502119 \nL 96.249358 70.20988 \nL 102.607014 72.809583 \nL 109.271865 76.114278 \nL 116.088542 79.944378 \nL 122.916618 84.138249 \nL 129.634837 88.558315 \nL 136.143218 93.093254 \nL 142.363405 97.657173 \nL 148.23763 102.187017 \nL 153.726805 106.638983 \nL 158.80809 110.984653 \nL 163.472277 115.207361 \nL 167.721172 119.299037 \nL 171.565173 123.257555 \nL 175.021087 127.084726 \nL 178.110262 130.784738 \nL 180.857 134.363077 \nL 183.287274 137.825752 \nL 185.427707 141.17885 \nL 187.304778 144.428188 \nL 188.944225 147.579186 \nL 190.370626 150.636794 \nL 191.6071 153.605477 \nL 192.675134 156.489242 \nL 194.383152 162.016028 \nL 195.631842 167.241859 \nL 196.531825 172.187149 \nL 197.170062 176.869335 \nL 197.778305 183.432379 \nL 198.103786 189.483367 \nL 198.264215 196.824568 \nL 198.189299 204.95235 \nL 197.88012 212.051153 \nL 197.445303 217.074594 \nL 196.972956 220.496135 \nL 196.329776 223.642378 \nL 195.455353 226.52744 \nL 194.703307 228.309545 \nL 193.778576 229.978281 \nL 192.640192 231.529732 \nL 191.237189 232.955099 \nL 189.506245 234.238288 \nL 187.368829 235.352188 \nL 184.727841 236.253028 \nL 183.182156 236.603282 \nL 181.463809 236.871784 \nL 179.553712 237.043854 \nL 177.4309 237.1013 \nL 175.072436 237.021649 \nL 172.453381 236.777226 \nL 169.546806 236.334074 \nL 166.323921 235.650689 \nL 162.754335 234.676613 \nL 158.806516 233.350882 \nL 154.448529 231.600408 \nL 149.64916 229.338455 \nL 144.379527 226.463398 \nL 138.615334 222.858156 \nL 132.339947 218.390824 \nL 125.548409 212.917268 \nL 118.252597 206.286624 \nL 110.487482 198.350945 \nL 102.318396 188.980127 \nL 93.848903 178.083076 \nL 85.228394 165.635118 \nL 76.657999 151.710002 \nL 68.392891 136.512288 \nL 60.738515 120.402723 \nL 54.03859 103.906626 \nL 48.653322 87.694914 \nL 44.928355 72.530922 \nL 43.157727 59.185002 \nL 43.546689 48.330439 \nL 46.182039 40.444311 \nL 51.017061 35.739803 \nL 57.874872 34.148287 \nL 66.46979 35.354225 \nL 76.441446 38.869204 \nL 87.394318 44.122088 \nL 98.93505 50.542295 \nL 110.702182 57.621113 \nL 122.385702 64.945854 \nL 144.568348 79.205637 \nL 180.830543 102.847164 \nL 194.474564 112.021392 \nL 205.470276 119.773702 \nL 214.265224 126.390743 \nL 221.327305 132.094196 \nL 229.611175 139.246839 \nL 236.201057 144.927808 \nL 240.126489 147.928152 \nL 242.031757 149.186165 \nL 243.928275 150.2766 \nL 245.834664 151.193307 \nL 247.766875 151.929091 \nL 249.738299 152.475845 \nL 251.759845 152.824687 \nL 253.83995 152.966183 \nL 255.984575 152.890556 \nL 258.197144 152.58797 \nL 260.478445 152.048885 \nL 262.826499 151.264508 \nL 265.236409 150.227282 \nL 267.700184 148.931504 \nL 270.206573 147.374015 \nL 272.740925 145.554978 \nL 275.285059 143.478676 \nL 277.817258 141.154381 \nL 280.31232 138.597128 \nL 282.741749 135.828407 \nL 285.074144 132.876694 \nL 287.275717 129.777657 \nL 289.311055 126.574069 \nL 291.144063 123.315239 \nL 292.739102 120.05597 \nL 294.062288 116.855034 \nL 295.082841 113.773196 \nL 295.774515 110.870906 \nL 296.116873 108.205773 \nL 296.096436 105.830023 \nL 295.707523 103.788244 \nL 294.952771 102.115463 \nL 293.843243 100.835892 \nL 292.398087 99.962284 \nL 290.643868 99.49608 \nL 288.613482 99.42816 \nL 286.344876 99.740209 \nL 283.879564 100.406414 \nL 281.261107 101.395352 \nL 278.53365 102.671966 \nL 275.74056 104.199358 \nL 272.923278 105.940383 \nL 270.120389 107.858915 \nL 267.36692 109.920812 \nL 264.693919 112.094558 \nL 262.128211 114.351629 \nL 259.692374 116.666595 \nL 257.404867 119.017104 \nL 255.280283 121.383667 \nL 253.329677 123.74941 \nL 251.560959 126.099737 \nL 249.979314 128.422029 \nL 248.587624 130.705276 \nL 247.386882 132.939806 \nL 246.37658 135.116967 \nL 245.555063 137.228898 \nL 244.919843 139.268274 \nL 244.467873 141.228111 \nL 244.195784 143.101607 \nL 244.100073 144.881953 \nL 244.177244 146.562231 \nL 244.423932 148.135269 \nL 244.836956 149.59353 \nL 245.413375 150.929059 \nL 246.150476 152.133356 \nL 247.045746 153.197349 \nL 248.096822 154.111317 \nL 249.301378 154.864883 \nL 250.657012 155.447018 \nL 252.161077 155.846065 \nL 253.810503 156.049815 \nL 255.601564 156.045656 \nL 257.529625 155.820729 \nL 259.588843 155.362242 \nL 261.771871 154.657813 \nL 264.069508 153.695919 \nL 266.470339 152.466506 \nL 268.960397 150.961645 \nL 271.522808 149.176368 \nL 274.137494 147.109557 \nL 276.78092 144.764944 \nL 279.425963 142.152086 \nL 282.041887 139.287381 \nL 284.594508 136.194878 \nL 287.046551 132.906915 \nL 289.358257 129.464368 \nL 291.488242 125.916516 \nL 293.394611 122.320282 \nL 295.036286 118.738909 \nL 296.37456 115.240033 \nL 297.374724 111.893155 \nL 298.007691 108.766768 \nL 298.251527 105.925234 \nL 298.092719 103.425789 \nL 297.527084 101.315842 \nL 296.560238 99.630889 \nL 295.207554 98.393224 \nL 293.493611 97.611575 \nL 291.451194 97.281554 \nL 289.119875 97.386982 \nL 286.544373 97.901779 \nL 283.772732 98.792176 \nL 280.854532 100.019157 \nL 277.839184 101.540769 \nL 274.77445 103.31416 \nL 271.705169 105.297349 \nL 268.67237 107.450481 \nL 265.712587 109.736752 \nL 262.857528 112.122956 \nL 260.133955 114.579657 \nL 257.563776 117.081182 \nL 255.164324 119.60541 \nL 252.948705 122.133464 \nL 250.926269 124.649289 \nL 249.103091 127.139262 \nL 247.482488 129.591793 \nL 246.065497 131.996915 \nL 244.851353 134.345945 \nL 243.837916 136.631195 \nL 243.022054 138.845655 \nL 242.399978 140.982789 \nL 241.967523 143.036311 \nL 241.720403 145.000011 \nL 241.654378 146.867603 \nL 241.765417 148.632571 \nL 242.0498 150.288057 \nL 242.504172 151.826754 \nL 243.125594 153.240781 \nL 243.911511 154.521631 \nL 244.859744 155.660068 \nL 245.96839 156.646068 \nL 247.235736 157.468764 \nL 248.660126 158.116453 \nL 250.239772 158.576571 \nL 251.972567 158.835763 \nL 253.855832 158.879987 \nL 255.88604 158.694677 \nL 258.05849 158.264999 \nL 260.36696 157.576215 \nL 262.803311 156.61413 \nL 265.357077 155.365724 \nL 268.015041 153.819873 \nL 270.7608 151.968278 \nL 273.574352 149.806476 \nL 276.431781 147.335018 \nL 279.304971 144.560708 \nL 282.161503 141.497824 \nL 284.964723 138.169291 \nL 287.674024 134.607588 \nL 290.245448 130.855358 \nL 292.63257 126.965437 \nL 294.787685 123.000271 \nL 296.663365 119.030583 \nL 298.21422 115.133221 \nL 299.398848 111.388288 \nL 300.181861 107.875675 \nL 300.535756 104.671257 \nL 300.442582 101.843078 \nL 299.895168 99.447926 \nL 298.897779 97.528583 \nL 297.466224 96.112094 \nL 295.627237 95.209182 \nL 293.417346 94.81479 \nL 290.881206 94.909667 \nL 288.06958 95.462698 \nL 285.037177 96.433759 \nL 281.840464 97.776719 \nL 278.535632 99.442316 \nL 275.176762 101.38069 \nL 271.814412 103.543437 \nL 268.494499 105.88516 \nL 265.257583 108.364478 \nL 262.138486 110.94454 \nL 259.166219 113.593237 \nL 256.364151 116.28303 \nL 253.750355 118.990622 \nL 251.338095 121.696517 \nL 249.136377 124.384516 \nL 247.150563 127.041179 \nL 245.38297 129.655325 \nL 243.833442 132.217587 \nL 242.499913 134.719999 \nL 241.378891 137.155618 \nL 240.465898 139.518251 \nL 239.755857 141.802166 \nL 239.243408 144.001896 \nL 238.923174 146.112025 \nL 238.78997 148.127037 \nL 238.838972 150.041161 \nL 239.065833 151.848265 \nL 239.466761 153.541698 \nL 240.038561 155.114211 \nL 240.778639 156.557839 \nL 241.684969 157.863805 \nL 242.756046 159.022437 \nL 243.990777 160.02307 \nL 245.388374 160.854 \nL 246.948182 161.502442 \nL 248.669491 161.954509 \nL 250.5513 162.195252 \nL 252.592047 162.20874 \nL 254.789275 161.978243 \nL 257.139288 161.486464 \nL 259.636712 160.715928 \nL 262.274057 159.649512 \nL 265.041212 158.271095 \nL 267.924933 156.566443 \nL 270.908305 154.524263 \nL 273.970231 152.137448 \nL 277.085 149.40449 \nL 280.221888 146.331056 \nL 283.34499 142.931531 \nL 286.413236 139.230536 \nL 289.380685 135.264168 \nL 292.197174 131.080828 \nL 294.809368 126.741397 \nL 297.162193 122.318565 \nL 299.200702 117.895207 \nL 300.872281 113.561691 \nL 302.12904 109.412225 \nL 302.930314 105.54042 \nL 303.245017 102.034465 \nL 303.053627 98.972316 \nL 302.349638 96.417466 \nL 301.140308 94.415685 \nL 299.446592 92.99311 \nL 297.302262 92.155943 \nL 294.752287 91.891552 \nL 291.850666 92.170881 \nL 288.657836 92.951748 \nL 285.237985 94.182583 \nL 281.65638 95.806265 \nL 277.976956 97.763593 \nL 274.260298 99.996263 \nL 270.562047 102.4491 \nL 266.931783 105.07164 \nL 263.412389 107.819021 \nL 260.039805 110.652304 \nL 256.843116 113.538415 \nL 253.844906 116.449738 \nL 251.061807 119.36358 \nL 248.505153 122.261472 \nL 246.181711 125.128533 \nL 244.094414 127.952782 \nL 242.243091 130.724574 \nL 240.625131 133.43604 \nL 239.236106 136.080673 \nL 238.070325 138.652932 \nL 237.121296 141.147904 \nL 236.382136 143.561086 \nL 235.845911 145.888119 \nL 235.505908 148.124633 \nL 235.355838 150.266098 \nL 235.390014 152.307648 \nL 235.603456 154.243999 \nL 235.991964 156.069294 \nL 236.55217 157.777007 \nL 237.281528 159.359823 \nL 238.178286 160.809537 \nL 239.241446 162.116925 \nL 240.470659 163.271646 \nL 241.866124 164.262158 \nL 243.428436 165.075601 \nL 245.158391 165.697744 \nL 247.056782 166.112941 \nL 249.124123 166.304137 \nL 251.360333 166.25294 \nL 253.764365 165.939784 \nL 256.333786 165.344161 \nL 259.064282 164.445064 \nL 261.949115 163.221536 \nL 264.97852 161.653487 \nL 268.139066 159.722688 \nL 271.412983 157.414076 \nL 274.777509 154.7173 \nL 278.204294 151.628508 \nL 281.658904 148.152335 \nL 285.100512 144.303958 \nL 288.481884 140.111079 \nL 291.749683 135.615643 \nL 294.845268 130.874913 \nL 297.705958 125.961799 \nL 300.266888 120.963957 \nL 302.463348 115.981645 \nL 304.233595 111.124079 \nL 305.521973 106.504546 \nL 306.28204 102.234475 \nL 306.479514 98.417091 \nL 306.094703 95.141243 \nL 305.124152 92.476157 \nL 303.581299 90.467737 \nL 301.496081 89.136778 \nL 298.913459 88.479368 \nL 295.891073 88.469199 \nL 292.496214 89.061322 \nL 288.802453 90.196936 \nL 284.886209 91.808426 \nL 280.823519 93.824211 \nL 276.687275 96.172917 \nL 272.544972 98.786624 \nL 268.457087 101.603203 \nL 264.47612 104.567622 \nL 260.646112 107.632547 \nL 257.002685 110.758257 \nL 253.573411 113.912155 \nL 250.378467 117.068018 \nL 247.431447 120.205107 \nL 244.740249 123.307235 \nL 242.308009 126.361925 \nL 240.134001 129.359607 \nL 238.214473 132.292938 \nL 236.543428 135.156221 \nL 235.113289 137.944965 \nL 233.915501 140.655458 \nL 232.941021 143.284494 \nL 232.180734 145.829118 \nL 231.625785 148.286419 \nL 231.267846 150.653383 \nL 231.099317 152.926748 \nL 231.113478 155.102869 \nL 231.304589 157.177635 \nL 231.667955 159.146334 \nL 232.199958 161.003556 \nL 232.898054 162.743074 \nL 233.76075 164.357732 \nL 234.787554 165.839316 \nL 235.978893 167.178413 \nL 237.336028 168.364289 \nL 238.860911 169.384745 \nL 240.556042 170.225995 \nL 242.424267 170.87253 \nL 244.468549 171.307044 \nL 246.691684 171.510346 \nL 249.095967 171.461381 \nL 251.682784 171.137341 \nL 254.452139 170.513824 \nL 257.4021 169.565238 \nL 260.528163 168.265367 \nL 263.822517 166.588179 \nL 267.273268 164.508967 \nL 270.863586 162.005811 \nL 274.570819 159.061444 \nL 278.365659 155.665439 \nL 282.211391 151.816785 \nL 286.063337 147.526663 \nL 289.868598 142.8212 \nL 293.566227 137.744058 \nL 297.087967 132.35831 \nL 300.359666 126.74735 \nL 303.303425 121.014296 \nL 305.840479 115.279564 \nL 307.894782 109.676444 \nL 309.397035 104.344718 \nL 310.288878 99.42278 \nL 310.526815 95.038963 \nL 310.085562 91.303035 \nL 308.960264 88.299018 \nL 307.16741 86.080238 \nL 304.744252 84.667126 \nL 301.746769 84.048103 \nL 298.246478 84.183217 \nL 294.326302 85.009739 \nL 290.076097 86.448893 \nL 285.588191 88.412898 \nL 280.953265 90.811304 \nL 276.256929 93.556291 \nL 271.577106 96.566546 \nL 266.982254 99.769743 \nL 262.530413 103.103771 \nL 258.268938 106.516899 \nL 254.234802 109.967249 \nL 250.455294 113.421807 \nL 246.949011 116.855167 \nL 243.726986 120.248263 \nL 240.793887 123.587089 \nL 238.149183 126.861621 \nL 235.788256 130.064837 \nL 233.703406 133.191911 \nL 231.884753 136.239579 \nL 230.320997 139.205639 \nL 229.000075 142.088545 \nL 227.909702 144.887142 \nL 227.037797 147.600411 \nL 226.372834 150.227301 \nL 225.904106 152.766631 \nL 225.621918 155.216949 \nL 225.517728 157.576434 \nL 225.584241 159.842845 \nL 225.815471 162.013404 \nL 226.206756 164.084736 \nL 226.754771 166.052758 \nL 227.457496 167.912575 \nL 228.31419 169.65836 \nL 229.325335 171.283244 \nL 230.492572 172.779147 \nL 231.818616 174.136626 \nL 233.307158 175.34469 \nL 234.962742 176.390625 \nL 236.790621 177.259807 \nL 238.796564 177.935475 \nL 240.986644 178.398569 \nL 243.366949 178.627579 \nL 245.943248 178.598398 \nL 248.720565 178.284326 \nL 251.702671 177.656117 \nL 254.891467 176.682251 \nL 258.286253 175.329408 \nL 261.88287 173.563219 \nL 265.672719 171.349456 \nL 269.641651 168.655628 \nL 273.768809 165.453128 \nL 278.025388 161.719985 \nL 282.373468 157.444172 \nL 286.764996 152.627376 \nL 291.141086 147.289106 \nL 295.431801 141.470695 \nL 299.556645 135.238765 \nL 303.425929 128.687507 \nL 306.943212 121.938987 \nL 310.008844 115.140958 \nL 312.524603 108.461559 \nL 314.399174 102.080931 \nL 315.553988 96.180243 \nL 315.928993 90.929057 \nL 315.487537 86.472798 \nL 314.219831 82.92178 \nL 312.144476 80.343731 \nL 309.307743 78.760629 \nL 305.780777 78.150267 \nL 301.65497 78.452014 \nL 297.036177 79.575589 \nL 292.03835 81.411272 \nL 286.777375 83.840108 \nL 281.365536 86.742932 \nL 275.907111 90.00739 \nL 270.495135 93.532671 \nL 265.209442 97.232197 \nL 260.115799 101.034385 \nL 255.265982 104.882123 \nL 250.698526 108.731435 \nL 246.439964 112.549601 \nL 242.506316 116.313193 \nL 238.904719 120.006127 \nL 235.63503 123.617968 \nL 232.691374 127.142467 \nL 230.063516 130.576343 \nL 227.738098 133.918356 \nL 225.699694 137.16861 \nL 223.931686 140.328022 \nL 222.416987 143.397926 \nL 221.138627 146.379831 \nL 220.080189 149.275233 \nL 219.226158 152.085497 \nL 218.562173 154.811787 \nL 218.075192 157.45499 \nL 217.753615 160.015706 \nL 217.587349 162.494184 \nL 217.567836 164.890329 \nL 217.688055 167.203644 \nL 217.942509 169.433176 \nL 218.327197 171.577483 \nL 218.839571 173.634573 \nL 219.478499 175.601812 \nL 220.244217 177.475843 \nL 221.138286 179.252478 \nL 222.163544 180.926556 \nL 223.324065 182.491805 \nL 224.625104 183.940646 \nL 226.073044 185.264017 \nL 227.675335 186.451129 \nL 229.44041 187.489208 \nL 231.377595 188.363212 \nL 233.496971 189.05553 \nL 235.809203 189.545645 \nL 238.325322 189.809806 \nL 241.056416 189.820715 \nL 244.013246 189.547247 \nL 247.205759 188.954252 \nL 250.642432 188.002508 \nL 254.329477 186.648892 \nL 258.269861 184.846864 \nL 262.462102 182.547405 \nL 266.898853 179.700538 \nL 271.565286 176.25761 \nL 276.437243 172.174499 \nL 281.479351 167.415817 \nL 286.643098 161.960194 \nL 291.865148 155.806487 \nL 297.066105 148.980603 \nL 302.150092 141.542268 \nL 307.005512 133.590815 \nL 311.507334 125.268646 \nL 315.521236 116.761072 \nL 318.909678 108.291197 \nL 321.539745 100.109132 \nL 323.292177 92.475795 \nL 324.07078 85.642651 \nL 323.810989 79.830078 \nL 322.486388 75.207722 \nL 320.112155 71.880094 \nL 316.744781 69.879992 \nL 312.478129 69.170632 \nL 307.436303 69.655437 \nL 301.76448 71.193399 \nL 295.618838 73.61676 \nL 289.156939 76.748278 \nL 282.529331 80.415676 \nL 275.873153 84.462127 \nL 269.307796 88.75265 \nL 262.93262 93.176627 \nL 256.826392 97.647614 \nL 251.048037 102.101116 \nL 245.638334 106.49142 \nL 240.622121 110.788048 \nL 236.010759 114.972313 \nL 231.804622 119.034246 \nL 227.995421 122.970088 \nL 224.568334 126.780222 \nL 221.503846 130.467672 \nL 218.779316 134.036958 \nL 216.370256 137.493337 \nL 214.251366 140.842265 \nL 212.397342 144.089076 \nL 210.783486 147.238815 \nL 209.38615 150.296127 \nL 208.183052 153.26523 \nL 207.153472 156.149929 \nL 205.540423 161.67951 \nL 204.415257 166.908499 \nL 203.672769 171.856431 \nL 203.231895 176.539858 \nL 203.032585 180.973165 \nL 203.032628 185.169015 \nL 203.204786 189.138632 \nL 203.534444 192.891835 \nL 204.017838 196.436949 \nL 204.660883 199.780521 \nL 205.478564 202.926874 \nL 206.494887 205.87738 \nL 207.743338 208.629368 \nL 209.267834 211.174507 \nL 211.124168 213.496379 \nL 212.197909 214.565404 \nL 213.381882 215.566919 \nL 214.6873 216.494729 \nL 216.126534 217.341136 \nL 217.713185 218.096619 \nL 219.462166 218.749454 \nL 221.389753 219.285295 \nL 223.513639 219.686627 \nL 225.852933 219.932173 \nL 228.428132 219.996167 \nL 231.261011 219.847564 \nL 234.374432 219.449132 \nL 237.792011 218.756494 \nL 241.53761 217.717127 \nL 245.634605 216.269416 \nL 250.104832 214.341898 \nL 254.967177 211.85285 \nL 260.235653 208.710514 \nL 265.916934 204.814369 \nL 272.007235 200.057909 \nL 278.488487 194.333546 \nL 285.32387 187.540286 \nL 292.452847 179.594795 \nL 299.78603 170.446143 \nL 307.200526 160.093947 \nL 314.536687 148.608599 \nL 321.597369 136.150844 \nL 328.151205 122.986477 \nL 333.941074 109.4906 \nL 338.698512 96.135885 \nL 342.163762 83.461284 \nL 344.109735 72.021715 \nL 344.366621 62.325221 \nL 342.842863 54.769553 \nL 339.538282 49.592239 \nL 334.546475 46.846336 \nL 328.045659 46.406804 \nL 320.279936 48.004253 \nL 311.534673 51.275732 \nL 302.110512 55.819676 \nL 292.300001 61.243752 \nL 282.369455 67.199186 \nL 272.54714 73.399703 \nL 263.01757 79.627025 \nL 245.355169 91.599879 \nL 230.033169 102.470468 \nL 223.313792 107.440235 \nL 217.211345 112.109353 \nL 211.69898 116.496309 \nL 206.7401 120.623081 \nL 202.291814 124.512343 \nL 198.307657 128.185655 \nL 194.739681 131.662496 \nL 191.540003 134.959769 \nL 186.060685 141.069844 \nL 181.522146 146.59911 \nL 172.394829 158.121919 \nL 169.024951 161.810885 \nL 167.307422 163.443782 \nL 165.542801 164.926617 \nL 163.713964 166.250784 \nL 161.805148 167.406087 \nL 159.801894 168.380668 \nL 157.691 169.160924 \nL 155.460546 169.731441 \nL 153.099983 170.074912 \nL 150.600273 170.172194 \nL 147.954121 170.002347 \nL 145.156273 169.54283 \nL 142.203922 168.769804 \nL 139.09718 167.65863 \nL 135.839656 166.184591 \nL 132.439113 164.323848 \nL 128.908202 162.054767 \nL 125.265211 159.359556 \nL 121.534839 156.226234 \nL 117.748899 152.650967 \nL 113.946857 148.640613 \nL 110.176176 144.215376 \nL 106.49223 139.411306 \nL 102.957795 134.282356 \nL 99.641944 128.901588 \nL 96.618214 123.36119 \nL 93.962119 117.770824 \nL 91.747972 112.254217 \nL 90.045219 106.94382 \nL 88.914452 101.97391 \nL 88.403568 97.472607 \nL 88.544293 93.553734 \nL 89.349629 90.309385 \nL 90.812422 87.804311 \nL 92.905278 86.072625 \nL 95.581916 85.117361 \nL 98.779729 84.912743 \nL 102.423327 85.408653 \nL 106.428676 86.536616 \nL 110.707368 88.216313 \nL 115.170743 90.361908 \nL 119.73345 92.887625 \nL 124.316335 95.712055 \nL 128.848531 98.761135 \nL 133.268725 101.969979 \nL 137.525778 105.28346 \nL 141.578681 108.656103 \nL 145.396083 112.051364 \nL 148.955491 115.440568 \nL 152.242239 118.801726 \nL 155.248399 122.118335 \nL 157.971637 125.378253 \nL 160.414116 128.572721 \nL 162.581481 131.695521 \nL 164.481939 134.742254 \nL 166.125469 137.709831 \nL 167.523117 140.595999 \nL 168.686426 143.399052 \nL 169.626964 146.117519 \nL 170.355942 148.75 \nL 170.883917 151.295015 \nL 171.220567 153.750866 \nL 171.374525 156.115531 \nL 171.35326 158.386577 \nL 171.163007 160.561077 \nL 170.808724 162.635499 \nL 170.294083 164.60562 \nL 169.621477 166.466429 \nL 168.792053 168.212004 \nL 167.805758 169.835371 \nL 166.661412 171.328393 \nL 165.356778 172.681579 \nL 163.888675 173.88393 \nL 162.253092 174.922787 \nL 160.445355 175.783603 \nL 158.460303 176.449807 \nL 156.292521 176.902599 \nL 153.936622 177.120858 \nL 151.387594 177.081012 \nL 148.64122 176.757058 \nL 145.694585 176.120692 \nL 142.54668 175.141551 \nL 139.199137 173.787764 \nL 135.657044 172.026717 \nL 131.929896 169.826242 \nL 128.032653 167.156234 \nL 123.986858 163.990746 \nL 119.821754 160.310632 \nL 115.575385 156.106726 \nL 111.295487 151.383425 \nL 107.040081 146.162459 \nL 102.877574 140.486603 \nL 98.886173 134.422726 \nL 95.152492 128.063676 \nL 91.769106 121.528321 \nL 88.831116 114.959168 \nL 86.43172 108.517154 \nL 84.657071 102.373644 \nL 83.580747 96.700039 \nL 83.258479 91.656141 \nL 83.723625 87.378458 \nL 84.984065 83.970357 \nL 87.020867 81.495142 \nL 89.789029 79.97332 \nL 93.220168 79.384117 \nL 97.226836 79.67081 \nL 101.707978 80.748769 \nL 106.554829 82.514948 \nL 111.656697 84.857244 \nL 116.906151 87.662958 \nL 122.203196 90.825327 \nL 127.458329 94.248061 \nL 132.594458 97.847939 \nL 137.547749 101.555631 \nL 142.267621 105.315397 \nL 146.716109 109.083873 \nL 150.86671 112.828396 \nL 154.703016 116.525204 \nL 158.217191 120.157649 \nL 161.408451 123.714592 \nL 164.281621 127.189019 \nL 166.84579 130.576887 \nL 169.113148 133.876221 \nL 171.097962 137.086439 \nL 172.81572 140.207808 \nL 174.282427 143.241091 \nL 175.514037 146.187242 \nL 176.526006 149.047254 \nL 177.332958 151.822003 \nL 177.94842 154.512177 \nL 178.384655 157.118196 \nL 178.652534 159.640173 \nL 178.761468 162.077861 \nL 178.719369 164.430612 \nL 178.532639 166.697327 \nL 178.206186 168.876425 \nL 177.743441 170.965738 \nL 177.146402 172.962464 \nL 176.415669 174.863061 \nL 175.550489 176.663153 \nL 174.54881 178.357369 \nL 173.407326 179.93924 \nL 172.121543 181.400983 \nL 170.685838 182.733345 \nL 169.093533 183.925355 \nL 167.336992 184.964102 \nL 165.407732 185.834447 \nL 163.296571 186.518758 \nL 160.993821 186.996599 \nL 158.489519 187.244449 \nL 155.773761 187.23542 \nL 152.83709 186.939054 \nL 149.671021 186.321199 \nL 146.268678 185.344037 \nL 142.625607 183.966355 \nL 138.740735 182.144136 \nL 134.617554 179.83158 \nL 130.265465 176.982738 \nL 125.701335 173.553813 \nL 120.951178 169.506352 \nL 116.051906 164.811315 \nL 111.053011 159.454109 \nL 106.01799 153.440343 \nL 101.025276 146.801973 \nL 96.16836 139.603236 \nL 91.554778 131.945383 \nL 87.303619 123.969128 \nL 83.541401 115.853628 \nL 80.396203 107.810894 \nL 77.990335 100.07521 \nL 76.431996 92.887892 \nL 75.806845 86.478903 \nL 76.170458 81.047501 \nL 77.542771 76.745188 \nL 79.905329 73.663502 \nL 83.201891 71.828811 \nL 87.342286 71.204751 \nL 92.209016 71.701252 \nL 97.665678 73.188369 \nL 103.566028 75.512063 \nL 109.76274 78.509479 \nL 116.114958 82.021901 \nL 122.494128 85.904161 \nL 128.787979 90.030456 \nL 134.902649 94.296845 \nL 140.763281 98.621232 \nL 146.313389 102.941517 \nL 151.513387 107.212914 \nL 156.338603 111.404772 \nL 160.777042 115.497555 \nL 164.827125 119.480064 \nL 168.495527 123.3471 \nL 171.795201 127.097604 \nL 174.743653 130.733188 \nL 177.36147 134.257115 \nL 179.671093 137.673496 \nL 181.695827 140.986795 \nL 183.459061 144.201496 \nL 184.983669 147.321911 \nL 186.291566 150.352047 \nL 187.403397 153.295594 \nL 188.33832 156.155872 \nL 189.113887 158.935888 \nL 190.248794 164.26562 \nL 190.915178 169.303231 \nL 191.19459 174.063564 \nL 191.145315 178.558476 \nL 190.804952 182.797038 \nL 190.192815 186.7854 \nL 189.311864 190.526264 \nL 188.150035 194.017929 \nL 186.680916 197.252773 \nL 185.81897 198.769357 \nL 184.863794 200.215021 \nL 183.807977 201.585989 \nL 182.643121 202.877489 \nL 181.3598 204.083564 \nL 179.94753 205.196856 \nL 178.394718 206.208336 \nL 176.688633 207.106979 \nL 174.815388 207.879413 \nL 172.759941 208.509488 \nL 170.506113 208.977767 \nL 168.036668 209.260993 \nL 165.333448 209.331445 \nL 162.377578 209.156285 \nL 159.149809 208.69684 \nL 155.630985 207.907926 \nL 151.802713 206.737237 \nL 147.648273 205.124902 \nL 143.153829 203.003402 \nL 138.310008 200.297999 \nL 133.113881 196.927979 \nL 127.571448 192.809068 \nL 121.700573 187.857386 \nL 115.534372 181.995404 \nL 109.12491 175.160229 \nL 102.546947 167.314367 \nL 95.901288 158.458742 \nL 89.317128 148.647081 \nL 82.952578 137.999844 \nL 76.992477 126.715079 \nL 71.642558 115.072628 \nL 67.119562 103.428116 \nL 63.637216 92.194081 \nL 61.389169 81.807839 \nL 60.530676 72.689197 \nL 61.161863 65.194638 \nL 63.315417 59.5768 \nL 66.951133 55.957938 \nL 71.958548 54.322962 \nL 78.167226 54.532769 \nL 85.362783 56.35338 \nL 93.305858 59.493541 \nL 101.751054 63.642425 \nL 110.463347 68.501336 \nL 119.230568 73.805733 \nL 127.871329 79.337164 \nL 136.238771 84.926575 \nL 144.220852 90.451482 \nL 151.738184 95.829484 \nL 158.740345 101.010365 \nL 165.201434 105.968228 \nL 171.115505 110.694391 \nL 176.492186 115.191611 \nL 181.352792 119.469638 \nL 185.72695 123.54193 \nL 189.649833 127.42339 \nL 193.159911 131.128887 \nL 196.297208 134.67236 \nL 199.101965 138.066352 \nL 201.613671 141.321777 \nL 205.908257 147.45239 \nL 209.461264 153.120004 \nL 219.28439 169.654974 \nL 222.063565 173.427466 \nL 223.536587 175.139262 \nL 225.085385 176.726427 \nL 226.724426 178.180959 \nL 228.467798 179.49325 \nL 230.32929 180.651882 \nL 232.322434 181.64339 \nL 234.460503 182.452055 \nL 236.756465 183.059641 \nL 239.222849 183.445152 \nL 241.871574 183.584621 \nL 244.713658 183.450933 \nL 247.758849 183.013733 \nL 251.015103 182.239458 \nL 254.487954 181.091586 \nL 258.179712 179.531111 \nL 262.088501 177.517444 \nL 266.207118 175.009718 \nL 270.521746 171.968756 \nL 275.010518 168.359643 \nL 279.642046 164.155136 \nL 284.373958 159.3398 \nL 289.151624 153.914827 \nL 293.907298 147.903207 \nL 298.559806 141.354897 \nL 303.015228 134.351153 \nL 307.168664 127.007286 \nL 310.907411 119.472728 \nL 314.11558 111.92764 \nL 316.68007 104.575368 \nL 318.497528 97.630901 \nL 319.481697 91.306107 \nL 319.570373 85.793334 \nL 318.731032 81.249848 \nL 316.964352 77.785218 \nL 314.305093 75.45395 \nL 310.820094 74.254136 \nL 306.603693 74.132358 \nL 301.771163 74.993279 \nL 296.451092 76.712296 \nL 290.777489 79.148954 \nL 284.882568 82.159248 \nL 278.89071 85.605563 \nL 272.913965 89.363698 \nL 267.049126 93.326871 \nL 261.376352 97.407205 \nL 255.958968 101.535284 \nL 250.844243 105.658421 \nL 246.064826 109.738316 \nL 241.640538 113.748384 \nL 237.580345 117.671282 \nL 233.884335 121.496622 \nL 230.545586 125.219061 \nL 227.551872 128.836778 \nL 224.887145 132.350297 \nL 222.532818 135.761584 \nL 220.468809 139.073415 \nL 218.674412 142.288965 \nL 217.128966 145.411479 \nL 215.812385 148.444113 \nL 214.705542 151.389826 \nL 213.790553 154.251306 \nL 213.050962 157.030968 \nL 212.471862 159.73093 \nL 212.039954 162.353032 \nL 211.743564 164.898838 \nL 211.57263 167.369628 \nL 211.574733 172.089953 \nL 211.996403 176.518748 \nL 212.810389 180.655736 \nL 213.361719 182.613088 \nL 214.010259 184.494516 \nL 214.758218 186.297961 \nL 215.608952 188.020699 \nL 216.566944 189.659234 \nL 217.637786 191.209153 \nL 218.828175 192.664977 \nL 220.145907 194.019975 \nL 221.599867 195.26594 \nL 223.200028 196.392935 \nL 224.957421 197.388998 \nL 226.884106 198.239807 \nL 228.993107 198.928296 \nL 231.298318 199.434226 \nL 233.814356 199.733731 \nL 236.556345 199.798822 \nL 239.539612 199.596885 \nL 242.779263 199.090225 \nL 246.289615 198.235662 \nL 250.083444 196.984313 \nL 254.171005 195.281622 \nL 258.558787 193.067792 \nL 263.247966 190.278844 \nL 268.232524 186.848478 \nL 273.497035 182.711046 \nL 279.014152 177.805893 \nL 284.741867 172.083247 \nL 290.620777 165.511842 \nL 296.571582 158.088045 \nL 302.49326 149.845997 \nL 308.262408 140.867697 \nL 313.734418 131.291456 \nL 318.746995 121.316472 \nL 323.12654 111.201271 \nL 326.697416 101.253922 \nL 329.293768 91.813234 \nL 330.772816 83.221791 \nL 331.02802 75.794159 \nL 330.000225 69.78521 \nL 327.68487 65.364552 \nL 324.133897 62.601898 \nL 319.451987 61.466189 \nL 313.787648 61.837802 \nL 307.320717 63.530491 \nL 300.248157 66.317985 \nL 292.770172 69.960351 \nL 285.078165 74.225996 \nL 277.345615 78.907229 \nL 269.72205 83.829233 \nL 262.330078 88.852984 \nL 255.264914 93.873968 \nL 248.595763 98.818199 \nL 242.368403 103.636874 \nL 236.608434 108.300898 \nL 231.324729 112.795762 \nL 226.512817 117.117173 \nL 222.157987 121.267593 \nL 218.238015 125.253612 \nL 214.725481 129.083989 \nL 211.589677 132.768357 \nL 208.798134 136.31637 \nL 206.317818 139.737177 \nL 204.116027 143.039134 \nL 202.161043 146.229692 \nL 200.422591 149.315374 \nL 197.482988 155.193931 \nL 195.091844 160.710882 \nL 192.158747 168.362591 \nL 188.755569 177.476721 \nL 187.025855 181.580059 \nL 185.154164 185.375899 \nL 183.054917 188.849653 \nL 181.893314 190.458058 \nL 180.642482 191.974895 \nL 179.291062 193.394322 \nL 177.827228 194.709141 \nL 176.238613 195.910562 \nL 174.512237 196.987948 \nL 172.634465 197.928478 \nL 170.590992 198.716815 \nL 168.366864 199.334688 \nL 165.946549 199.76046 \nL 163.314071 199.968641 \nL 160.453232 199.929401 \nL 157.347914 199.608065 \nL 153.982558 198.964664 \nL 150.342764 197.953605 \nL 146.416131 196.523513 \nL 142.193318 194.617421 \nL 137.669403 192.173413 \nL 132.845563 189.125988 \nL 127.73109 185.408332 \nL 122.345741 180.955842 \nL 116.722366 175.711085 \nL 110.909673 169.630429 \nL 104.974944 162.692363 \nL 99.006339 154.90718 \nL 93.114322 146.327355 \nL 87.431642 137.057267 \nL 82.111287 127.260421 \nL 77.321801 117.161836 \nL 73.239693 107.043334 \nL 70.038943 97.229984 \nL 67.878374 88.067614 \nL 66.888089 79.893057 \nL 67.156772 73.001533 \nL 68.721931 67.616529 \nL 71.564683 63.868067 \nL 75.610212 61.783523 \nL 80.733804 61.292498 \nL 86.771546 62.243641 \nL 93.533868 64.429473 \nL 100.819954 67.613629 \nL 108.431059 71.555968 \nL 116.18153 76.032183 \nL 123.906669 80.846661 \nL 131.467457 85.838741 \nL 138.752406 90.883745 \nL 145.677181 95.890268 \nL 152.182601 100.795445 \nL 158.231711 105.559393 \nL 163.80637 110.15979 \nL 168.903778 114.587011 \nL 173.533178 118.840112 \nL 177.712884 122.923708 \nL 181.467717 126.845614 \nL 184.826849 130.615216 \nL 187.822055 134.242329 \nL 190.486326 137.736531 \nL 192.852805 141.106723 \nL 194.953991 144.360936 \nL 196.821176 147.506277 \nL 199.970541 153.494173 \nL 202.516092 159.110018 \nL 204.64221 164.382305 \nL 210.817929 180.352768 \nL 212.674338 184.224697 \nL 214.740206 187.775353 \nL 215.878572 189.423184 \nL 217.101803 190.980544 \nL 218.421183 192.441996 \nL 219.848413 193.800815 \nL 221.395687 195.048773 \nL 223.075774 196.175883 \nL 224.902067 197.170105 \nL 226.888606 198.017008 \nL 229.050077 198.699372 \nL 231.401748 199.196793 \nL 233.959365 199.485194 \nL 236.738964 199.536358 \nL 239.756581 199.317418 \nL 243.027856 198.79041 \nL 246.567461 197.911904 \nL 250.388366 196.632791 \nL 254.500838 194.898338 \nL 258.911214 192.648698 \nL 263.620325 189.819999 \nL 268.621624 186.346297 \nL 273.898951 182.162628 \nL 279.424029 177.209449 \nL 285.153758 171.438648 \nL 291.027498 164.821207 \nL 296.964613 157.356411 \nL 302.862779 149.081891 \nL 308.59746 140.083616 \nL 314.023239 130.503969 \nL 318.977529 120.545908 \nL 323.287169 110.4708 \nL 326.777832 100.588042 \nL 329.285912 91.235669 \nL 330.671769 82.753183 \nL 330.832713 75.44981 \nL 329.713832 69.57338 \nL 327.314752 65.285624 \nL 323.691155 62.648641 \nL 318.950627 61.625018 \nL 313.243519 62.090669 \nL 306.750357 63.857078 \nL 299.667708 66.697877 \nL 292.19448 70.37468 \nL 284.52016 74.658545 \nL 276.815929 79.344986 \nL 269.22891 84.262431 \nL 261.879379 89.274849 \nL 254.860434 94.280246 \nL 248.239444 99.20662 \nL 242.060686 104.006655 \nL 236.348571 108.652278 \nL 231.111083 113.129628 \nL 226.34313 117.434794 \nL 222.029601 121.570408 \nL 218.148052 125.543091 \nL 214.670991 129.361553 \nL 211.567745 133.035333 \nL 208.805968 136.57395 \nL 206.352802 139.986429 \nL 204.175762 143.281013 \nL 202.243374 146.465036 \nL 200.525619 149.544928 \nL 197.622753 155.413869 \nL 195.263829 160.923484 \nL 192.37471 168.568191 \nL 189.03072 177.681081 \nL 187.334112 181.788178 \nL 185.499639 185.591658 \nL 183.443004 189.078062 \nL 182.305128 190.695133 \nL 181.079851 192.222511 \nL 179.755966 193.654644 \nL 178.321809 194.984669 \nL 176.765159 196.204186 \nL 175.073177 197.303002 \nL 173.232354 198.268821 \nL 171.228488 199.086896 \nL 169.046699 199.739631 \nL 166.671479 200.20615 \nL 164.086817 200.461812 \nL 161.276387 200.477705 \nL 158.22385 200.220144 \nL 154.913262 199.650186 \nL 151.329663 198.723254 \nL 147.459848 197.388903 \nL 143.293393 195.590914 \nL 138.823934 193.267793 \nL 134.050795 190.353937 \nL 128.980939 186.78167 \nL 123.631279 182.48446 \nL 118.031271 177.401561 \nL 112.22573 171.484323 \nL 106.277619 164.704218 \nL 100.270542 157.062438 \nL 94.31048 148.600348 \nL 88.526218 139.40976 \nL 83.067817 129.64114 \nL 78.102588 119.50748 \nL 73.80807 109.281442 \nL 70.362069 99.28385 \nL 67.930213 89.862774 \nL 66.652215 81.364682 \nL 66.628606 74.101374 \nL 67.909896 68.318106 \nL 70.490115 64.16905 \nL 74.305903 61.704843 \nL 79.241487 60.874391 \nL 85.138609 61.539718 \nL 91.80986 63.500003 \nL 99.053323 66.519225 \nL 106.6665 70.352645 \nL 114.458064 74.768094 \nL 122.256587 79.560593 \nL 129.915931 84.559981 \nL 137.317729 89.63284 \nL 144.371351 94.6804 \nL 151.012176 99.63398 \nL 157.198734 104.449354 \nL 162.909308 109.101168 \nL 168.138387 113.577831 \nL 172.893277 117.877254 \nL 177.191009 122.003472 \nL 181.055653 125.964146 \nL 184.516063 129.768747 \nL 187.604022 133.42734 \nL 190.352778 136.949817 \nL 192.795909 140.345412 \nL 194.966474 143.622481 \nL 196.896401 146.788427 \nL 200.154072 152.811752 \nL 202.78964 158.456519 \nL 204.992782 163.752092 \nL 210.490187 177.707553 \nL 212.342209 181.734104 \nL 214.366467 185.438357 \nL 215.471003 187.163737 \nL 216.651929 188.799897 \nL 217.920528 190.34207 \nL 219.288381 191.784329 \nL 220.767462 193.119376 \nL 222.370222 194.338316 \nL 224.109659 195.430397 \nL 225.999362 196.382699 \nL 228.053517 197.179792 \nL 230.286886 197.803332 \nL 232.714727 198.231651 \nL 235.352658 198.439288 \nL 238.216423 198.396523 \nL 241.321571 198.068911 \nL 244.682994 197.416882 \nL 248.314285 196.395463 \nL 252.226925 194.954177 \nL 256.429198 193.037314 \nL 260.924852 190.584664 \nL 265.71145 187.532931 \nL 270.778373 183.818114 \nL 276.104569 179.379036 \nL 281.655992 174.162286 \nL 287.382986 168.128755 \nL 293.217744 161.261699 \nL 299.072227 153.576049 \nL 304.836957 145.128171 \nL 310.38126 136.024859 \nL 315.555501 126.429739 \nL 320.195832 116.564868 \nL 324.131729 106.705472 \nL 327.196147 97.166395 \nL 329.237699 88.280131 \nL 330.133514 80.368476 \nL 329.80114 73.711694 \nL 328.207574 68.520472 \nL 325.373932 64.915977 \nL 321.37474 62.921732 \nL 316.331992 62.468635 \nL 310.404869 63.411097 \nL 303.776815 65.550396 \nL 296.6419 68.660433 \nL 289.192102 72.511309 \nL 281.606888 76.887819 \nL 274.045687 81.601714 \nL 266.643359 86.497753 \nL 259.508371 91.454786 \nL 252.723099 96.383335 \nL 246.345681 101.221269 \nL 240.412781 105.928583 \nL 234.942822 110.482276 \nL 229.939307 114.871759 \nL 225.393975 119.095011 \nL 221.289662 123.155551 \nL 217.602795 127.0602 \nL 214.30547 130.817458 \nL 211.36717 134.436387 \nL 208.756119 137.925934 \nL 206.440328 141.294504 \nL 204.388386 144.549757 \nL 202.57002 147.698513 \nL 200.956478 150.746754 \nL 198.237791 156.561826 \nL 196.03914 162.028581 \nL 193.366154 169.627853 \nL 189.548905 180.811102 \nL 187.961108 184.784224 \nL 186.215237 188.468025 \nL 184.23385 191.849625 \nL 183.130181 193.420178 \nL 181.937456 194.905188 \nL 180.644812 196.299297 \nL 179.240829 197.595867 \nL 177.713438 198.786757 \nL 176.049855 199.862044 \nL 174.236529 200.809724 \nL 172.259111 201.615346 \nL 170.102456 202.261609 \nL 167.750673 202.727898 \nL 165.187221 202.98978 \nL 162.395083 203.01846 \nL 159.357049 202.780212 \nL 156.056101 202.235852 \nL 152.475977 201.340242 \nL 148.601919 200.041969 \nL 144.421672 198.283278 \nL 139.92678 196.000436 \nL 135.114198 193.124699 \nL 129.988296 189.584179 \nL 124.563229 185.306906 \nL 118.865685 180.225371 \nL 112.937882 174.282853 \nL 106.840632 167.441707 \nL 100.656218 159.693412 \nL 94.490527 151.069935 \nL 88.474 141.655184 \nL 82.760533 131.594805 \nL 77.523822 121.101752 \nL 72.950443 110.454955 \nL 69.229691 99.988689 \nL 66.54048 90.071456 \nL 65.036561 81.075642 \nL 64.83182 73.341456 \nL 65.988001 67.141339 \nL 68.506859 62.65156 \nL 72.328415 59.936755 \nL 77.335604 58.950355 \nL 83.36464 59.549766 \nL 90.219238 61.522261 \nL 97.686479 64.615432 \nL 105.552027 68.566528 \nL 113.613035 73.126135 \nL 121.687684 78.074411 \nL 129.621179 83.229594 \nL 137.288367 88.450025 \nL 144.593762 93.631746 \nL 151.469615 98.703308 \nL 157.872802 103.619627 \nL 163.781134 108.35573 \nL 169.189538 112.901171 \nL 174.106404 117.255398 \nL 178.550291 121.424152 \nL 182.547077 125.416724 \nL 186.127558 129.244106 \nL 189.325519 132.917675 \nL 192.176192 136.448413 \nL 194.715081 139.84645 \nL 196.977084 143.120838 \nL 198.995874 146.279468 \nL 202.430011 152.27552 \nL 205.250208 157.876779 \nL 208.759372 165.597619 \nL 211.884685 172.542659 \nL 213.975201 176.745363 \nL 216.202682 180.594694 \nL 217.400082 182.380172 \nL 218.669915 184.067538 \nL 220.024578 185.651474 \nL 221.47654 187.125404 \nL 223.038447 188.481308 \nL 224.723208 189.709477 \nL 226.544056 190.798277 \nL 228.514579 191.733828 \nL 230.648713 192.499699 \nL 232.96069 193.076545 \nL 235.464923 193.441723 \nL 238.17583 193.568905 \nL 241.107546 193.42771 \nL 244.273538 192.983374 \nL 247.686075 192.196531 \nL 251.355535 191.023146 \nL 255.289494 189.414742 \nL 259.491618 187.318984 \nL 263.960281 184.680852 \nL 268.686917 181.444506 \nL 273.654144 177.556107 \nL 278.833644 172.967729 \nL 284.183959 167.642556 \nL 289.648348 161.56129 \nL 295.152916 154.729663 \nL 300.605395 147.186454 \nL 305.895004 139.011247 \nL 310.893802 130.330497 \nL 315.459971 121.320383 \nL 319.443386 112.20468 \nL 322.693353 103.246279 \nL 325.068298 94.731893 \nL 326.446501 86.950717 \nL 326.736665 80.169524 \nL 325.88687 74.607891 \nL 323.890507 70.41776 \nL 320.788126 67.671094 \nL 316.66486 66.357782 \nL 311.643747 66.393517 \nL 305.876039 67.635608 \nL 299.529872 69.90323 \nL 292.778877 72.99827 \nL 285.791936 76.723648 \nL 278.725016 80.897257 \nL 271.715453 85.360842 \nL 264.878658 89.984019 \nL 258.306978 94.664756 \nL 252.070224 99.327082 \nL 246.2174 103.91751 \nL 240.779113 108.400794 \nL 235.770359 112.755793 \nL 231.193343 116.971804 \nL 227.040183 121.045413 \nL 223.295345 124.97807 \nL 219.937767 128.774219 \nL 216.942667 132.439967 \nL 214.283018 135.982123 \nL 211.930728 139.407624 \nL 209.85757 142.723136 \nL 208.035866 145.934861 \nL 206.439005 149.048446 \nL 205.041782 152.068966 \nL 202.753728 157.84839 \nL 201.004391 163.303641 \nL 199.654615 168.45911 \nL 198.591179 173.334753 \nL 197.33903 180.159664 \nL 194.93554 194.031742 \nL 193.762006 199.177705 \nL 192.836726 202.358246 \nL 191.751258 205.341172 \nL 190.461332 208.124215 \nL 188.915754 210.699527 \nL 187.054017 213.051314 \nL 185.982503 214.135449 \nL 184.803726 215.152351 \nL 183.50633 216.095992 \nL 182.077867 216.958868 \nL 180.504712 217.731688 \nL 178.77198 218.403025 \nL 176.863461 218.958875 \nL 174.76157 219.382138 \nL 172.447325 219.652033 \nL 169.90038 219.743405 \nL 167.099114 219.625919 \nL 164.020815 219.263187 \nL 160.641996 218.611821 \nL 156.938866 217.620436 \nL 152.888042 216.228712 \nL 148.467549 214.366595 \nL 143.658195 211.953857 \nL 138.445409 208.900251 \nL 132.82163 205.106624 \nL 126.789342 200.467493 \nL 120.36479 194.875659 \nL 113.582354 188.2295 \nL 106.499447 180.443563 \nL 99.201605 171.462783 \nL 91.807206 161.280158 \nL 84.470916 149.956691 \nL 77.384772 137.641081 \nL 70.775425 124.585128 \nL 64.896426 111.149425 \nL 60.014574 97.793871 \nL 56.390597 85.048888 \nL 54.255685 73.467622 \nL 53.786963 63.564546 \nL 55.085908 55.751813 \nL 58.164219 50.287348 \nL 62.940015 47.247234 \nL 69.245574 46.52822 \nL 76.844915 47.878277 \nL 85.457754 50.945463 \nL 94.785376 55.332619 \nL 104.534387 60.646249 \nL 114.435491 66.532504 \nL 124.256026 72.697897 \nL 133.806405 78.916367 \nL 151.557863 90.922189 \nL 167.002567 101.858074 \nL 173.787216 106.864062 \nL 179.954232 111.569239 \nL 185.528713 115.991089 \nL 190.545997 120.151096 \nL 195.048119 124.071761 \nL 199.08101 127.774683 \nL 202.692334 131.279522 \nL 205.929881 134.60342 \nL 211.46878 140.763729 \nL 216.046635 146.341073 \nL 225.197492 157.98794 \nL 228.552489 161.733016 \nL 230.258327 163.396324 \nL 232.008709 164.911487 \nL 233.820975 166.270177 \nL 235.711093 167.462493 \nL 237.693755 168.476881 \nL 239.782411 169.300045 \nL 241.98926 169.916856 \nL 244.325174 170.310323 \nL 246.799568 170.461539 \nL 249.420189 170.349787 \nL 252.192817 169.952637 \nL 255.120904 169.246272 \nL 258.205085 168.205899 \nL 261.442625 166.806438 \nL 264.826775 165.023412 \nL 268.346048 162.834231 \nL 271.983431 160.219713 \nL 275.71564 157.166073 \nL 279.512341 153.667149 \nL 283.335572 149.726994 \nL 287.139345 145.362542 \nL 290.869596 140.606216 \nL 294.464591 135.508145 \nL 297.855898 130.13766 \nL 300.970076 124.583601 \nL 303.731037 118.953076 \nL 306.0631 113.368396 \nL 307.894661 107.962092 \nL 309.162156 102.870221 \nL 309.814047 98.224398 \nL 309.814436 94.143529 \nL 309.145934 90.725965 \nL 307.81134 88.043327 \nL 305.834063 86.136634 \nL 303.257016 85.015253 \nL 300.140273 84.658655 \nL 296.557657 85.020576 \nL 292.592625 86.03485 \nL 288.333901 87.621939 \nL 283.871279 89.695589 \nL 279.291856 92.168592 \nL 274.676963 94.957459 \nL 270.099895 97.985706 \nL 265.62444 101.185926 \nL 261.304173 104.50058 \nL 257.182359 107.882 \nL 253.292374 111.29176 \nL 249.65847 114.699632 \nL 246.296763 118.082378 \nL 243.216361 121.42254 \nL 240.4205 124.707278 \nL 237.90767 127.927322 \nL 235.672673 131.076116 \nL 233.707553 134.149073 \nL 232.002433 137.142987 \nL 230.546241 140.055599 \nL 229.327312 142.885209 \nL 228.333869 145.630424 \nL 227.554441 148.289958 \nL 226.978167 150.862456 \nL 226.595036 153.346362 \nL 226.396071 155.739845 \nL 226.373445 158.040664 \nL 226.52057 160.246099 \nL 226.832142 162.352879 \nL 227.304153 164.357045 \nL 227.933889 166.253894 \nL 228.719908 168.037845 \nL 229.661985 169.702308 \nL 230.761061 171.239554 \nL 232.019163 172.64056 \nL 233.439311 173.894852 \nL 235.025398 174.990315 \nL 236.782048 175.913022 \nL 238.714449 176.647022 \nL 240.828131 177.174211 \nL 243.128705 177.474136 \nL 245.621542 177.523893 \nL 248.31138 177.298088 \nL 251.201845 176.768915 \nL 254.294864 175.906354 \nL 257.589999 174.678591 \nL 261.083627 173.052696 \nL 264.768031 170.995692 \nL 268.63037 168.475994 \nL 272.651561 165.465357 \nL 276.805119 161.941364 \nL 281.056027 157.890487 \nL 285.359728 153.311572 \nL 289.661407 148.219673 \nL 293.895656 142.649912 \nL 297.986793 136.660872 \nL 301.849977 130.337088 \nL 305.393279 123.78979 \nL 308.520839 117.155445 \nL 311.137014 110.591491 \nL 313.151421 104.269119 \nL 314.484444 98.36348 \nL 315.072822 93.042009 \nL 314.87453 88.452429 \nL 313.872562 84.711808 \nL 312.076885 81.898348 \nL 309.524442 80.047173 \nL 306.277015 79.150385 \nL 302.417351 79.161317 \nL 298.043922 80.002091 \nL 293.264978 81.572906 \nL 288.192553 83.761829 \nL 282.936966 86.453796 \nL 277.602202 89.537962 \nL 272.28243 92.91298 \nL 267.059717 96.490232 \nL 262.00283 100.195157 \nL 257.166987 103.967267 \nL 252.594361 107.759115 \nL 248.31509 111.534688 \nL 244.348638 115.267573 \nL 240.705303 118.939139 \nL 237.387773 122.536785 \nL 234.392633 126.052489 \nL 231.711745 129.481548 \nL 229.333505 132.821595 \nL 227.243912 136.071859 \nL 225.427492 139.23254 \nL 223.868051 142.304428 \nL 222.549289 145.288594 \nL 221.455291 148.18618 \nL 220.570889 150.998238 \nL 219.881952 153.725653 \nL 219.375581 156.369066 \nL 219.040248 158.928819 \nL 218.865881 161.404922 \nL 218.843906 163.797003 \nL 218.967268 166.10428 \nL 219.230422 168.325502 \nL 219.629311 170.458878 \nL 220.161336 172.50204 \nL 220.825314 174.451928 \nL 221.621431 176.304715 \nL 222.551203 178.05567 \nL 223.617417 179.699031 \nL 224.824089 181.22785 \nL 226.176397 182.633797 \nL 227.68062 183.906972 \nL 229.34406 185.035656 \nL 231.17494 186.006064 \nL 233.182288 186.80205 \nL 235.375766 187.404824 \nL 237.765485 187.792643 \nL 240.361715 187.940507 \nL 243.17456 187.819902 \nL 246.213488 187.398599 \nL 249.486789 186.640574 \nL 253.000863 185.506095 \nL 256.759335 183.952093 \nL 260.76201 181.932903 \nL 265.003606 179.401491 \nL 269.472284 176.311344 \nL 274.148037 172.619126 \nL 279.000899 168.288261 \nL 283.989163 163.293462 \nL 289.057729 157.626182 \nL 294.136764 151.300757 \nL 299.140999 144.360736 \nL 303.969986 136.884654 \nL 308.509633 128.990256 \nL 312.635343 120.835845 \nL 316.216915 112.617607 \nL 319.125147 104.561966 \nL 321.239848 96.912822 \nL 322.458539 89.914344 \nL 322.704891 83.791343 \nL 321.935827 78.729874 \nL 320.146178 74.861312 \nL 317.370208 72.252432 \nL 313.679602 70.903271 \nL 309.178305 70.752493 \nL 303.994849 71.689156 \nL 298.273315 73.568014 \nL 292.164026 76.225926 \nL 285.814987 79.496795 \nL 279.364852 83.223393 \nL 272.937712 87.265513 \nL 266.639888 91.504371 \nL 260.558451 95.843907 \nL 254.761216 100.209867 \nL 249.297802 104.54737 \nL 244.201432 108.81787 \nL 239.491103 112.995877 \nL 235.17391 117.065947 \nL 231.247342 121.02001 \nL 227.701398 124.855185 \nL 224.520509 128.572063 \nL 221.685178 132.173401 \nL 219.173369 135.663215 \nL 216.961644 139.046104 \nL 215.026073 142.326807 \nL 213.342934 145.509972 \nL 211.889249 148.599966 \nL 210.64317 151.600825 \nL 209.584244 154.516231 \nL 208.693583 157.349495 \nL 207.349828 162.781231 \nL 206.494271 167.916553 \nL 206.035312 172.772193 \nL 205.905221 177.361906 \nL 206.057429 181.69692 \nL 206.463878 185.786012 \nL 207.112775 189.635338 \nL 208.006909 193.247861 \nL 209.162614 196.622421 \nL 210.609389 199.752275 \nL 211.454789 201.221292 \nL 212.390125 202.622942 \nL 213.422984 203.953692 \nL 214.561912 205.209052 \nL 215.816469 206.383401 \nL 217.197273 207.469758 \nL 218.716052 208.459531 \nL 220.385685 209.342201 \nL 222.220239 210.104948 \nL 224.234987 210.732237 \nL 226.446397 211.205319 \nL 228.872083 211.501657 \nL 231.530703 211.594293 \nL 234.441769 211.451146 \nL 237.625358 211.034265 \nL 241.101688 210.299072 \nL 244.890493 209.19366 \nL 249.010167 207.658216 \nL 253.47662 205.624751 \nL 258.301751 203.017306 \nL 263.491506 199.752905 \nL 269.043426 195.743634 \nL 274.943704 190.900223 \nL 281.163693 185.137674 \nL 287.65607 178.383249 \nL 294.350776 170.587229 \nL 301.151247 161.736202 \nL 307.93145 151.868288 \nL 314.534632 141.08857 \nL 320.774711 129.58214 \nL 326.441291 117.621048 \nL 331.309065 105.56111 \nL 335.151674 93.82528 \nL 337.759321 82.87229 \nL 338.958311 73.153131 \nL 338.629578 65.061565 \nL 336.723201 58.888369 \nL 333.26588 54.788975 \nL 328.359861 52.77174 \nL 322.173352 52.708666 \nL 314.924257 54.364553 \nL 306.860199 57.436814 \nL 298.23808 61.59682 \nL 289.306022 66.525292 \nL 280.289464 71.937521 \nL 271.382083 77.597466 \nL 262.741335 83.322067 \nL 254.487836 88.978693 \nL 246.707478 94.478263 \nL 239.45526 99.766786 \nL 232.759985 104.816693 \nL 226.629148 109.619094 \nL 221.053584 114.177518 \nL 216.011658 118.502965 \nL 211.472839 122.610362 \nL 207.400677 126.516108 \nL 203.755181 130.236468 \nL 200.494682 133.786609 \nL 197.577243 137.180086 \nL 194.961693 140.428632 \nL 190.479476 146.528663 \nL 186.755653 152.14528 \nL 177.761371 166.345929 \nL 174.862641 170.189651 \nL 173.346015 171.930303 \nL 171.762894 173.541975 \nL 170.097996 175.016787 \nL 168.336656 176.345266 \nL 166.464741 177.516204 \nL 164.468589 178.516408 \nL 162.33502 179.330548 \nL 160.051373 179.940919 \nL 157.605625 180.327269 \nL 154.98657 180.4666 \nL 152.184094 180.333079 \nL 149.189544 179.898011 \nL 145.996209 179.129946 \nL 142.599939 177.994971 \nL 138.999895 176.457296 \nL 135.199447 174.480154 \nL 131.207229 172.027184 \nL 127.038307 169.064282 \nL 122.715438 165.562124 \nL 118.270389 161.499304 \nL 113.745151 156.86612 \nL 109.192971 151.668859 \nL 104.678979 145.934308 \nL 100.280226 139.714102 \nL 96.084911 133.088209 \nL 92.190512 126.166884 \nL 88.700779 119.090203 \nL 85.721437 112.024549 \nL 83.354785 105.155567 \nL 81.693514 98.677819 \nL 80.814268 92.781796 \nL 80.771637 87.639816 \nL 81.59334 83.392677 \nL 83.277274 80.13896 \nL 85.790848 77.928784 \nL 89.072766 76.762606 \nL 93.037063 76.595325 \nL 97.57879 77.34435 \nL 102.580727 78.900322 \nL 107.920289 81.138677 \nL 113.475959 83.930331 \nL 119.132717 87.150507 \nL 124.786157 90.685195 \nL 130.345266 94.435031 \nL 135.733859 98.316929 \nL 140.890899 102.264085 \nL 145.76998 106.22472 \nL 150.338164 110.160162 \nL 154.57444 114.042671 \nL 158.468013 117.853234 \nL 162.016534 121.579594 \nL 165.224415 125.214501 \nL 168.101252 128.754273 \nL 170.660449 132.197726 \nL 172.918013 135.545272 \nL 174.891552 138.798321 \nL 176.599437 141.95881 \nL 178.060141 145.028906 \nL 179.291719 148.010791 \nL 180.311404 150.906527 \nL 181.135327 153.717974 \nL 181.778296 156.446754 \nL 182.253675 159.094192 \nL 182.573295 161.661319 \nL 182.747416 164.148859 \nL 182.784725 166.557195 \nL 182.69235 168.886365 \nL 182.475886 171.136005 \nL 182.139446 173.305344 \nL 181.685698 175.393131 \nL 181.115916 177.397583 \nL 180.430025 179.316305 \nL 179.626642 181.146189 \nL 178.70312 182.883326 \nL 177.655582 184.522848 \nL 176.478955 186.058783 \nL 175.167011 187.48388 \nL 173.712397 188.789399 \nL 172.106688 189.964863 \nL 170.340438 190.997786 \nL 168.403257 191.873383 \nL 166.283921 192.574206 \nL 163.970514 193.079802 \nL 161.450621 193.366324 \nL 158.711606 193.406141 \nL 155.740961 193.167483 \nL 152.526784 192.614142 \nL 149.058395 191.705301 \nL 145.327121 190.395557 \nL 141.327289 188.635248 \nL 137.057445 186.371209 \nL 132.521826 183.548157 \nL 127.732101 180.110833 \nL 122.70933 176.007165 \nL 117.486114 171.192544 \nL 112.108816 165.635414 \nL 106.63963 159.324022 \nL 101.158258 152.274117 \nL 95.762829 144.536936 \nL 90.56959 136.206497 \nL 85.710983 127.424782 \nL 81.331657 118.383075 \nL 77.582214 109.31792 \nL 74.610833 100.50051 \nL 72.553197 92.21936 \nL 71.521737 84.757673 \nL 71.595494 78.368221 \nL 72.812065 73.24965 \nL 75.162931 69.528508 \nL 78.593018 67.250087 \nL 83.00466 66.379646 \nL 88.265295 66.813016 \nL 94.217791 68.394134 \nL 100.691867 70.935667 \nL 107.515186 74.239198 \nL 114.522913 78.112186 \nL 121.565123 82.380254 \nL 128.511675 86.894358 \nL 135.254797 91.533676 \nL 141.709649 96.205007 \nL 147.81336 100.840051 \nL 153.52308 105.39154 \nL 158.813422 109.829073 \nL 163.673651 114.135078 \nL 168.104911 118.301333 \nL 172.117615 122.326063 \nL 175.729101 126.211719 \nL 178.961625 129.963282 \nL 181.84066 133.587056 \nL 184.393534 137.089873 \nL 186.648317 140.478532 \nL 188.632989 143.759513 \nL 190.374802 146.938804 \nL 191.89983 150.021835 \nL 193.232661 153.013469 \nL 195.411622 158.739407 \nL 197.073665 164.145931 \nL 198.352856 169.256594 \nL 199.35783 174.090789 \nL 200.536428 180.859151 \nL 202.780619 194.624127 \nL 203.870839 199.736192 \nL 204.729719 202.899338 \nL 205.737124 205.870158 \nL 206.934417 208.647879 \nL 208.369441 211.226849 \nL 210.098798 213.594481 \nL 211.094539 214.692496 \nL 212.190323 215.728224 \nL 213.396824 216.696552 \nL 214.725766 217.591075 \nL 216.190007 218.403831 \nL 217.803635 219.124977 \nL 219.582042 219.742393 \nL 221.541991 220.241241 \nL 223.701665 220.603405 \nL 226.080678 220.806863 \nL 228.700029 220.824959 \nL 231.582001 220.62555 \nL 234.749951 220.170087 \nL 238.227944 219.412625 \nL 242.040236 218.298794 \nL 246.210482 216.764844 \nL 250.76064 214.736887 \nL 255.709448 212.130534 \nL 261.070431 208.851238 \nL 266.849289 204.795729 \nL 273.04062 199.855109 \nL 279.623923 193.92018 \nL 286.558961 186.889755 \nL 293.780611 178.682477 \nL 301.193659 169.252473 \nL 308.668158 158.608356 \nL 316.036367 146.834091 \nL 323.092542 134.108693 \nL 329.596967 120.720019 \nL 335.28553 107.066973 \nL 339.88543 93.644472 \nL 343.136482 81.007913 \nL 344.816022 69.718874 \nL 344.763771 60.279502 \nL 342.902169 53.068755 \nL 339.24811 48.295125 \nL 333.913217 45.97725 \nL 327.09247 45.956264 \nL 319.043623 47.934616 \nL 310.061386 51.530107 \nL 300.451101 56.33163 \nL 290.505708 61.945977 \nL 280.488475 68.029809 \nL 270.622267 74.305954 \nL 261.084861 80.566721 \nL 243.486371 92.520191 \nL 228.29103 103.308914 \nL 221.645243 108.22778 \nL 215.617949 112.843602 \nL 210.179385 117.176708 \nL 205.290761 121.250165 \nL 200.907596 125.08718 \nL 196.982328 128.709476 \nL 193.466307 132.136446 \nL 187.470322 138.468357 \nL 182.554364 144.183687 \nL 171.250354 158.087044 \nL 167.833789 161.650787 \nL 166.086008 163.215173 \nL 164.287014 164.624841 \nL 162.420076 165.870634 \nL 160.469875 166.941781 \nL 158.422437 167.825854 \nL 156.265137 168.508685 \nL 153.986729 168.974326 \nL 151.577451 169.205015 \nL 149.029215 169.181262 \nL 146.335845 168.881958 \nL 143.493424 168.284627 \nL 140.500707 167.365831 \nL 137.359627 166.101752 \nL 134.075893 164.469046 \nL 130.659646 162.445925 \nL 127.126174 160.013598 \nL 123.496647 157.158022 \nL 119.798792 153.871967 \nL 116.067513 150.157359 \nL 112.345281 146.027783 \nL 108.682257 141.510922 \nL 105.135985 136.65076 \nL 101.770626 131.509123 \nL 98.655502 126.166274 \nL 95.863051 120.720114 \nL 93.466074 115.283789 \nL 91.534454 109.981501 \nL 90.131476 104.94265 \nL 89.310048 100.294709 \nL 89.109167 96.155498 \nL 89.551011 92.625695 \nL 90.638953 89.782435 \nL 92.356837 87.675035 \nL 94.669498 86.323032 \nL 97.524637 85.717001 \nL 100.855691 85.821628 \nL 104.585529 86.580707 \nL 108.630484 87.923037 \nL 112.904426 89.768641 \nL 117.322476 92.034527 \nL 121.804144 94.639458 \nL 126.275804 97.507558 \nL 130.672357 100.570719 \nL 134.938196 103.769823 \nL 139.027525 107.055068 \nL 142.904152 110.385633 \nL 146.540909 113.728829 \nL 149.918797 117.059089 \nL 153.025972 120.35682 \nL 155.856669 123.607275 \nL 158.410119 126.799568 \nL 160.68953 129.925745 \nL 162.701145 132.980072 \nL 164.453391 135.95838 \nL 165.956149 138.857617 \nL 167.220137 141.675436 \nL 168.256379 144.409901 \nL 169.07578 147.059247 \nL 169.688795 149.621728 \nL 170.105162 152.095447 \nL 170.333704 154.478236 \nL 170.382183 156.76757 \nL 170.257207 158.960451 \nL 169.964166 161.053323 \nL 169.507215 163.041968 \nL 168.889259 164.921418 \nL 168.111984 166.685814 \nL 167.175896 168.328307 \nL 166.080381 169.840913 \nL 164.823784 171.214351 \nL 163.403504 172.437898 \nL 161.816127 173.499239 \nL 160.057567 174.384256 \nL 158.123252 175.076904 \nL 156.008353 175.559019 \nL 153.708058 175.810227 \nL 151.217899 175.807851 \nL 148.534174 175.526919 \nL 145.654422 174.940301 \nL 142.578008 174.018959 \nL 139.306823 172.732462 \nL 135.846059 171.049722 \nL 132.20512 168.940138 \nL 128.398605 166.37509 \nL 124.447367 163.329931 \nL 120.379589 159.786458 \nL 116.231791 155.735886 \nL 112.04968 151.182184 \nL 107.888718 146.145632 \nL 103.814232 140.666256 \nL 99.900893 134.80673 \nL 96.231397 128.654215 \nL 92.894291 122.320511 \nL 89.980751 115.939997 \nL 87.580482 109.664988 \nL 85.776924 103.658481 \nL 84.642079 98.084647 \nL 84.231474 93.097985 \nL 84.579827 88.832379 \nL 85.6979 85.391539 \nL 87.571032 82.842165 \nL 90.159568 81.210699 \nL 93.401112 80.484149 \nL 97.2144 80.614513 \nL 101.504266 81.525896 \nL 106.167202 83.123212 \nL 111.096847 85.301031 \nL 116.189023 87.951693 \nL 121.345876 90.971831 \nL 126.478999 94.267025 \nL 131.51148 97.754683 \nL 136.378902 101.36515 \nL 141.029544 105.041687 \nL 145.42388 108.739524 \nL 149.533618 112.424417 \nL 153.340437 116.07099 \nL 156.834575 119.661053 \nL 160.013378 123.182042 \nL 162.879918 126.625676 \nL 165.441675 129.986825 \nL 167.709392 133.262587 \nL 169.696046 136.45158 \nL 171.416009 139.553403 \nL 172.884314 142.568228 \nL 174.116086 145.496521 \nL 175.126075 148.338818 \nL 175.928305 151.095596 \nL 176.535802 153.767159 \nL 176.960398 156.353555 \nL 177.212604 158.854527 \nL 177.301514 161.269435 \nL 177.234775 163.597231 \nL 177.018549 165.836378 \nL 176.657532 167.984807 \nL 176.154966 170.039836 \nL 175.512676 171.99808 \nL 174.731106 173.855341 \nL 173.809369 175.606506 \nL 172.745298 177.245403 \nL 171.535511 178.764649 \nL 170.175468 180.155448 \nL 168.659562 181.407427 \nL 166.981203 182.508375 \nL 165.132941 183.444026 \nL 163.106609 184.197787 \nL 160.893502 184.75047 \nL 158.484616 185.080023 \nL 155.870945 185.161298 \nL 153.043857 184.965848 \nL 149.995579 184.46182 \nL 146.719782 183.613983 \nL 143.212322 182.383949 \nL 139.472136 180.730724 \nL 135.502302 178.611581 \nL 131.311274 175.983517 \nL 126.914297 172.805294 \nL 122.334956 169.040224 \nL 117.60675 164.659831 \nL 112.774689 159.648272 \nL 107.896639 154.007511 \nL 103.044254 147.762884 \nL 98.303232 140.968575 \nL 93.772598 133.712212 \nL 89.562711 126.117595 \nL 85.791763 118.344555 \nL 82.580778 110.584851 \nL 80.047122 103.05369 \nL 78.297045 95.976885 \nL 77.417848 89.574707 \nL 77.470649 84.044325 \nL 78.48464 79.543385 \nL 80.453746 76.177295 \nL 83.336152 73.992302 \nL 87.056936 72.9753 \nL 91.513337 73.060142 \nL 96.581999 74.138749 \nL 102.127248 76.075053 \nL 108.009337 78.719247 \nL 114.091903 81.920556 \nL 120.248023 85.537223 \nL 126.364626 89.44316 \nL 132.345141 93.531546 \nL 138.110649 97.715763 \nL 143.599771 101.928445 \nL 148.76764 106.119397 \nL 153.584268 110.252875 \nL 158.032541 114.304782 \nL 162.106145 118.260018 \nL 165.807487 122.110141 \nL 169.145768 125.851468 \nL 172.135265 129.483561 \nL 174.793824 133.00805 \nL 177.1416 136.427799 \nL 179.200011 139.746316 \nL 180.990908 142.967351 \nL 182.535921 146.094625 \nL 183.855957 149.131695 \nL 184.970838 152.081853 \nL 185.899049 154.948094 \nL 186.657567 157.733117 \nL 187.261771 160.439308 \nL 187.725392 163.068793 \nL 188.277622 168.104773 \nL 188.391856 172.852933 \nL 188.12161 177.321326 \nL 187.498411 181.514033 \nL 186.533816 185.430425 \nL 185.221015 189.063954 \nL 184.427163 190.770503 \nL 183.535901 192.400147 \nL 182.541594 193.949365 \nL 181.437556 195.413703 \nL 180.216047 196.787613 \nL 178.868256 198.064256 \nL 177.384288 199.235275 \nL 175.753168 200.290506 \nL 173.962827 201.217672 \nL 172.000135 202.002021 \nL 169.85094 202.625895 \nL 167.500153 203.068284 \nL 164.931882 203.304286 \nL 162.129641 203.304572 \nL 159.076655 203.03482 \nL 155.756281 202.455151 \nL 152.152604 201.519671 \nL 148.251219 200.176135 \nL 144.040276 198.365917 \nL 139.511797 196.024403 \nL 134.663361 193.082025 \nL 129.500148 189.46623 \nL 124.037361 185.104668 \nL 118.303044 179.929901 \nL 112.341098 173.885971 \nL 106.214413 166.936878 \nL 100.007685 159.076897 \nL 93.829541 150.342116 \nL 87.81333 140.821956 \nL 82.115842 130.668769 \nL 76.913348 120.103046 \nL 72.394332 109.411281 \nL 68.748955 98.934292 \nL 66.155612 89.045048 \nL 64.765944 80.117134 \nL 64.690125 72.488186 \nL 65.984797 66.42429 \nL 68.645715 62.092291 \nL 72.606589 59.54574 \nL 77.744404 58.726869 \nL 83.89037 59.483315 \nL 90.844535 61.594989 \nL 98.391836 64.805073 \nL 106.317289 68.849139 \nL 114.418678 73.478478 \nL 122.515787 78.475519 \nL 130.456063 83.661628 \nL 138.116947 88.89862 \nL 145.405618 94.085874 \nL 152.256892 99.154898 \nL 158.629985 104.06307 \nL 164.504756 108.787345 \nL 169.877859 113.318725 \nL 174.759096 117.657708 \nL 179.168149 121.810722 \nL 183.131753 125.787536 \nL 186.681346 129.599396 \nL 189.851166 133.257817 \nL 192.676747 136.773827 \nL 195.193779 140.157535 \nL 197.437255 143.41794 \nL 199.440873 146.562861 \nL 202.854621 152.531974 \nL 205.667275 158.106275 \nL 209.187927 165.784837 \nL 212.350871 172.682428 \nL 214.480901 176.848521 \nL 216.759839 180.65524 \nL 217.987653 182.416454 \nL 219.291171 184.07711 \nL 220.682912 185.631475 \nL 222.17548 187.072489 \nL 223.781658 188.391567 \nL 225.514491 189.578364 \nL 227.387331 190.620512 \nL 229.413862 191.503302 \nL 231.608074 192.209366 \nL 233.984196 192.718306 \nL 236.556559 193.006335 \nL 239.33937 193.045876 \nL 242.346416 192.805223 \nL 245.590614 192.248263 \nL 249.083434 191.334308 \nL 252.834134 190.01813 \nL 256.848796 188.250324 \nL 261.129127 185.97808 \nL 265.670999 183.146586 \nL 270.462739 179.701216 \nL 275.483188 175.590699 \nL 280.699567 170.771414 \nL 286.065327 165.212976 \nL 291.518089 158.904961 \nL 296.978044 151.86452 \nL 302.347089 144.144299 \nL 307.509202 135.839539 \nL 312.332444 127.093054 \nL 316.672999 118.0964 \nL 320.38142 109.08561 \nL 323.311045 100.330443 \nL 325.327959 92.11708 \nL 326.321643 84.725621 \nL 326.214956 78.405271 \nL 324.972008 73.351109 \nL 322.602654 69.686497 \nL 319.162802 67.454362 \nL 314.750384 66.618625 \nL 309.497661 67.074889 \nL 303.560991 68.667854 \nL 297.109505 71.211638 \nL 290.314188 74.509732 \nL 283.338429 78.371617 \nL 276.33075 82.624822 \nL 269.420017 87.121985 \nL 262.712923 91.743597 \nL 256.293445 96.397434 \nL 250.223797 101.015879 \nL 244.546375 105.552067 \nL 239.28629 109.975797 \nL 234.454144 114.269544 \nL 230.048773 118.425038 \nL 226.059842 122.4404 \nL 222.470148 126.317949 \nL 219.257624 130.06251 \nL 216.397007 133.680246 \nL 213.861205 137.177844 \nL 211.622385 140.561992 \nL 209.652809 143.839061 \nL 207.925464 147.014956 \nL 206.414506 150.095039 \nL 205.095571 153.084108 \nL 202.944745 158.805896 \nL 201.312653 164.209367 \nL 200.0668 169.31796 \nL 199.100098 174.15104 \nL 197.991689 180.919678 \nL 195.409327 198.166817 \nL 194.371732 203.008692 \nL 193.538026 206.004681 \nL 192.550337 208.818289 \nL 191.368492 211.448432 \nL 189.945173 213.889183 \nL 188.223716 216.1277 \nL 187.230326 217.164482 \nL 186.135663 218.141134 \nL 184.928882 219.052479 \nL 183.598053 219.892041 \nL 182.130057 220.651755 \nL 180.510505 221.321634 \nL 178.723653 221.889377 \nL 176.752321 222.339889 \nL 174.577852 222.654718 \nL 172.180091 222.811392 \nL 169.537418 222.782652 \nL 166.626864 222.535575 \nL 163.42431 222.030599 \nL 159.904855 221.220468 \nL 156.04335 220.049148 \nL 151.815214 218.450807 \nL 147.197566 216.348988 \nL 142.170789 213.656195 \nL 136.720633 210.274208 \nL 130.840922 206.095567 \nL 124.537006 201.006782 \nL 117.829937 194.893974 \nL 110.761375 187.651624 \nL 103.399024 179.195147 \nL 95.842095 169.477514 \nL 88.226216 158.509481 \nL 80.726579 146.381748 \nL 73.55807 133.28572 \nL 66.970778 119.527742 \nL 61.239617 105.530575 \nL 56.64737 91.816134 \nL 53.461903 78.966296 \nL 51.909762 67.563796 \nL 52.150191 58.122173 \nL 54.25431 51.019106 \nL 58.193945 46.448872 \nL 63.842676 44.405634 \nL 70.989154 44.700455 \nL 79.359743 47.005566 \nL 88.646077 50.912858 \nL 98.532488 55.992375 \nL 108.719467 61.839881 \nL 118.940752 68.107974 \nL 128.973495 74.520721 \nL 147.817522 87.033422 \nL 164.377243 98.468508 \nL 178.354684 108.57914 \nL 184.390692 113.156176 \nL 189.831332 117.443035 \nL 194.718099 121.464722 \nL 199.097692 125.245771 \nL 203.019457 128.80878 \nL 206.533454 132.173678 \nL 212.533926 138.373899 \nL 217.470213 143.947198 \nL 227.198708 155.446445 \nL 230.69854 159.08657 \nL 232.463687 160.687968 \nL 234.26565 162.134878 \nL 236.122212 163.418932 \nL 238.049511 164.53024 \nL 240.06215 165.457325 \nL 242.173214 166.187109 \nL 244.394262 166.704863 \nL 246.735254 166.994238 \nL 249.204397 167.037289 \nL 251.807942 166.814661 \nL 254.549902 166.305807 \nL 257.43168 165.489349 \nL 260.451623 164.343671 \nL 263.604512 162.847634 \nL 266.880973 160.981607 \nL 270.266859 158.728732 \nL 273.74261 156.076477 \nL 277.282644 153.018477 \nL 280.854831 149.556604 \nL 284.420165 145.703133 \nL 287.932641 141.482953 \nL 291.339507 136.93547 \nL 294.581974 132.116032 \nL 297.596415 127.096516 \nL 300.316186 121.9648 \nL 302.674002 116.822782 \nL 304.604805 111.782957 \nL 306.04903 106.963462 \nL 306.955939 102.481981 \nL 307.286864 98.448991 \nL 307.017923 94.961084 \nL 306.141995 92.095044 \nL 304.669638 89.903545 \nL 302.628895 88.412879 \nL 300.063952 87.62295 \nL 297.032803 87.509375 \nL 293.604141 88.027397 \nL 289.853816 89.11684 \nL 285.861178 90.707536 \nL 281.705637 92.72456 \nL 277.463621 95.092803 \nL 273.206127 97.740584 \nL 268.996952 100.602217 \nL 264.891575 103.619513 \nL 260.936608 106.742475 \nL 257.169798 109.929255 \nL 253.620391 113.145635 \nL 250.309807 116.364199 \nL 247.252484 119.563418 \nL 244.456821 122.726627 \nL 241.926155 125.841118 \nL 239.659721 128.897276 \nL 237.653543 131.887861 \nL 235.901245 134.80737 \nL 234.394769 137.651575 \nL 233.125004 140.41708 \nL 232.082304 143.101025 \nL 231.256934 145.700824 \nL 230.639414 148.213968 \nL 230.220809 150.637844 \nL 229.992935 152.969627 \nL 229.948518 155.206132 \nL 230.081312 157.343723 \nL 230.386163 159.378215 \nL 230.859048 161.304731 \nL 231.497079 163.117634 \nL 232.298493 164.81039 \nL 233.262594 166.375453 \nL 234.389704 167.804104 \nL 235.681068 169.086356 \nL 237.138739 170.210771 \nL 238.76545 171.164337 \nL 240.564429 171.932316 \nL 242.539202 172.498101 \nL 244.69333 172.843156 \nL 247.03011 172.946915 \nL 249.5522 172.786836 \nL 252.26119 172.338489 \nL 255.157059 171.575814 \nL 258.237594 170.471556 \nL 261.497675 168.997917 \nL 264.928494 167.127511 \nL 268.516685 164.834667 \nL 272.243416 162.097102 \nL 276.083428 158.898007 \nL 280.004179 155.228558 \nL 283.96506 151.090759 \nL 287.916872 146.500445 \nL 291.801675 141.490279 \nL 295.553116 136.112344 \nL 299.097438 130.43995 \nL 302.355221 124.568119 \nL 305.243954 118.612352 \nL 307.681417 112.705254 \nL 309.589703 106.991002 \nL 310.899643 101.617741 \nL 311.555273 96.728619 \nL 311.517893 92.452328 \nL 310.769194 88.894346 \nL 309.313148 86.129975 \nL 307.176318 84.200216 \nL 304.406578 83.110868 \nL 301.070346 82.834896 \nL 297.248628 83.317412 \nL 293.032397 84.482503 \nL 288.517726 86.24086 \nL 283.801114 88.497092 \nL 278.975437 91.156111 \nL 274.126677 94.128133 \nL 269.331567 97.332017 \nL 264.656191 100.697248 \nL 260.155335 104.16454 \nL 255.872557 107.685567 \nL 251.840783 111.222047 \nL 248.083225 114.744467 \nL 244.614549 118.230675 \nL 241.442129 121.664475 \nL 238.567321 125.034361 \nL 235.986673 128.332417 \nL 233.693046 131.553338 \nL 231.676612 134.693738 \nL 229.925736 137.751499 \nL 228.427703 140.725342 \nL 227.16934 143.614506 \nL 226.137514 146.418446 \nL 225.319533 149.136656 \nL 224.703446 151.768554 \nL 224.278285 154.31334 \nL 224.03423 156.769916 \nL 223.962718 159.136814 \nL 224.056528 161.412105 \nL 224.309807 163.593339 \nL 224.718094 165.677454 \nL 225.278306 167.6607 \nL 225.988709 169.538528 \nL 226.848884 171.30547 \nL 227.859674 172.955023 \nL 229.023116 174.479477 \nL 230.342371 175.869771 \nL 231.821625 177.115306 \nL 233.465983 178.203729 \nL 235.281329 179.12075 \nL 237.274165 179.849905 \nL 239.451397 180.372343 \nL 241.820075 180.666639 \nL 244.387086 180.708612 \nL 247.158743 180.471255 \nL 250.140295 179.924721 \nL 253.335333 179.03648 \nL 256.745063 177.771685 \nL 260.367458 176.093858 \nL 264.196252 173.965882 \nL 268.219805 171.351555 \nL 272.419862 168.217613 \nL 276.770223 164.536469 \nL 281.235419 160.289541 \nL 285.769508 155.471228 \nL 290.315094 150.093332 \nL 294.802863 144.189582 \nL 299.151712 137.819828 \nL 303.269856 131.073197 \nL 307.056978 124.069386 \nL 310.407668 116.957381 \nL 313.216075 109.910863 \nL 315.381595 103.120112 \nL 316.815229 96.780665 \nL 317.446011 91.079758 \nL 317.226756 86.182174 \nL 316.138393 82.217361 \nL 314.192274 79.269912 \nL 311.430099 77.374819 \nL 307.921385 76.517885 \nL 303.758846 76.641209 \nL 299.052275 77.652335 \nL 293.92166 79.435514 \nL 288.490314 81.863129 \nL 282.878688 84.805999 \nL 277.199284 88.141639 \nL 271.552915 91.759795 \nL 266.026396 95.565703 \nL 260.691425 99.481141 \nL 255.604566 103.443952 \nL 250.808016 107.406523 \nL 246.330887 111.333762 \nL 242.190844 115.200855 \nL 238.395858 118.991099 \nL 234.945957 122.694002 \nL 231.834899 126.303601 \nL 229.051691 129.81715 \nL 226.581917 133.234084 \nL 224.408889 136.555234 \nL 222.514591 139.78227 \nL 220.880471 142.91727 \nL 219.48805 145.962458 \nL 218.319412 148.920038 \nL 217.357558 151.79204 \nL 216.586678 154.580297 \nL 215.992328 157.286373 \nL 215.561549 159.911547 \nL 215.282929 162.456781 \nL 215.146635 164.922734 \nL 215.144407 167.309731 \nL 215.269537 169.617723 \nL 215.516838 171.846281 \nL 215.882591 173.994548 \nL 216.36451 176.061167 \nL 216.961684 178.044261 \nL 217.674543 179.941291 \nL 218.504804 181.749019 \nL 219.455444 183.463358 \nL 220.530655 185.079236 \nL 221.735812 186.590455 \nL 223.077443 187.989487 \nL 224.563184 189.267264 \nL 226.201742 190.412937 \nL 228.002826 191.41358 \nL 229.977071 192.253891 \nL 232.135932 192.915836 \nL 234.491524 193.378291 \nL 237.056411 193.616635 \nL 239.843336 193.602379 \nL 242.864828 193.302802 \nL 246.132708 192.680683 \nL 249.657446 191.69413 \nL 253.447327 190.296663 \nL 257.507415 188.437609 \nL 261.838286 186.062966 \nL 266.434485 183.11691 \nL 271.282751 179.544132 \nL 276.359966 175.293226 \nL 281.631007 170.321245 \nL 287.046486 164.599533 \nL 292.540722 158.120784 \nL 298.030168 150.90688 \nL 303.412677 143.016956 \nL 308.568074 134.554435 \nL 313.360473 125.671691 \nL 317.642725 116.570458 \nL 321.263126 107.496565 \nL 324.074275 98.727862 \nL 325.943442 90.555556 \nL 326.763389 83.260596 \nL 326.462303 77.088277 \nL 325.011338 72.225168 \nL 322.428522 68.782497 \nL 318.778282 66.788996 \nL 314.166658 66.194222 \nL 308.732861 66.880898 \nL 302.638515 68.683632 \nL 296.056127 71.409865 \nL 289.158129 74.859786 \nL 282.107641 78.842571 \nL 275.051547 83.187621 \nL 268.116072 87.750891 \nL 261.404654 92.416899 \nL 254.997757 97.09756 \nL 248.954076 101.729151 \nL 243.312675 106.268229 \nL 238.095646 110.687427 \nL 233.310941 114.971492 \nL 228.955159 119.113899 \nL 225.016106 123.114055 \nL 221.475095 126.975196 \nL 218.308891 130.702786 \nL 215.491348 134.303409 \nL 212.994728 137.784018 \nL 210.790743 141.151443 \nL 208.85136 144.412143 \nL 207.149383 147.572041 \nL 205.658882 150.636489 \nL 204.355467 153.610276 \nL 202.22096 159.302396 \nL 200.585854 164.677145 \nL 199.317939 169.757616 \nL 197.876085 176.867351 \nL 194.291462 196.694791 \nL 193.447482 200.020587 \nL 192.470577 203.147174 \nL 191.319637 206.075105 \nL 189.948213 208.800446 \nL 188.302203 211.313003 \nL 187.356627 212.483946 \nL 186.317393 213.593603 \nL 185.174463 214.63753 \nL 183.91683 215.610127 \nL 182.532424 216.504402 \nL 181.008032 217.311693 \nL 179.329212 218.02132 \nL 177.480218 218.620178 \nL 175.443948 219.092258 \nL 173.20191 219.418072 \nL 170.73424 219.573996 \nL 168.019766 219.531523 \nL 165.036162 219.256395 \nL 161.760207 218.707686 \nL 158.168209 217.836821 \nL 154.236637 216.586607 \nL 149.943005 214.890398 \nL 145.267114 212.671493 \nL 140.192727 209.843085 \nL 134.70977 206.309008 \nL 128.81713 201.965781 \nL 122.526144 196.706472 \nL 115.864731 190.427036 \nL 108.882159 183.035721 \nL 101.654069 174.466046 \nL 94.287389 164.693362 \nL 86.924294 153.754157 \nL 79.744174 141.766079 \nL 72.962297 128.94523 \nL 66.82388 115.615604 \nL 61.592444 102.205151 \nL 57.532352 89.223719 \nL 54.886548 77.221389 \nL 53.852046 66.730788 \nL 54.55699 58.203105 \nL 57.043694 51.950942 \nL 61.261235 48.111799 \nL 67.069382 46.640364 \nL 74.253126 47.330417 \nL 82.544894 49.858652 \nL 91.650186 53.838633 \nL 101.272292 58.872343 \nL 111.132876 64.59084 \nL 120.986632 70.679976 \nL 130.629637 76.891616 \nL 139.902232 83.043749 \nL 156.908384 94.724968 \nL 164.519781 100.140535 \nL 171.504889 105.247487 \nL 177.868156 110.050547 \nL 183.630194 114.564766 \nL 188.8232 118.81054 \nL 193.487174 122.810134 \nL 197.666879 126.585506 \nL 201.40948 130.156958 \nL 204.762762 133.542432 \nL 210.488169 139.814178 \nL 215.197297 145.492601 \nL 226.153589 159.37231 \nL 229.516032 162.948207 \nL 231.244927 164.521636 \nL 233.029891 165.942178 \nL 234.887371 167.200525 \nL 236.832511 168.285733 \nL 238.879229 169.185154 \nL 241.040206 169.884336 \nL 243.326851 170.366948 \nL 245.749192 170.61475 \nL 248.315681 170.607614 \nL 251.032951 170.323649 \nL 253.905454 169.739396 \nL 256.935037 168.830207 \nL 260.120398 167.57084 \nL 263.456485 165.936245 \nL 266.933782 163.902698 \nL 270.53754 161.449241 \nL 274.247005 158.559477 \nL 278.034628 155.223741 \nL 281.865408 151.441576 \nL 285.696374 147.22442 \nL 289.476384 142.598295 \nL 293.14635 137.606244 \nL 296.63995 132.310194 \nL 299.885054 126.791784 \nL 302.805803 121.151795 \nL 305.325469 115.50782 \nL 307.369885 109.989963 \nL 308.871377 104.734741 \nL 309.772832 99.877461 \nL 310.031539 95.543839 \nL 309.622415 91.841852 \nL 308.540225 88.854663 \nL 306.800504 86.635748 \nL 304.439039 85.206725 \nL 301.509973 84.558054 \nL 298.082726 84.652378 \nL 294.238062 85.42983 \nL 290.063751 86.814591 \nL 285.650216 88.721552 \nL 281.086522 91.062569 \nL 276.457009 93.751655 \nL 271.838669 96.708815 \nL 267.299385 99.862617 \nL 262.896943 103.151401 \nL 258.678698 106.523558 \nL 254.68184 109.937124 \nL 250.934048 113.3588 \nL 247.454413 116.762808 \nL 244.254536 120.129661 \nL 241.339686 123.444935 \nL 238.709939 126.698175 \nL 236.361277 129.88195 \nL 234.286569 132.99108 \nL 232.47646 136.021959 \nL 230.920134 138.972088 \nL 229.605966 141.839665 \nL 228.522059 144.623276 \nL 227.656677 147.321683 \nL 226.998594 149.933625 \nL 226.53736 152.45772 \nL 226.263504 154.892308 \nL 226.16867 157.235376 \nL 226.245724 159.484473 \nL 226.488807 161.636622 \nL 226.893366 163.688207 \nL 227.45615 165.634918 \nL 228.175198 167.471603 \nL 229.049798 169.192175 \nL 230.080436 170.789462 \nL 231.268726 172.255068 \nL 232.617325 173.579217 \nL 234.129824 174.750565 \nL 235.810623 175.756034 \nL 237.664773 176.580619 \nL 239.697776 177.207198 \nL 241.915357 177.616357 \nL 244.323159 177.786261 \nL 246.926397 177.692576 \nL 249.729411 177.308467 \nL 252.73513 176.604725 \nL 255.944457 175.55009 \nL 259.355493 174.111795 \nL 262.962689 172.256413 \nL 266.755851 169.951159 \nL 270.719043 167.165554 \nL 274.829436 163.873708 \nL 279.056144 160.057107 \nL 283.359133 155.707946 \nL 287.688304 150.832893 \nL 291.982968 145.457019 \nL 296.171811 139.627514 \nL 300.1736 133.416742 \nL 303.89881 126.92396 \nL 307.25226 120.274973 \nL 310.13685 113.619213 \nL 312.458249 107.123884 \nL 314.130322 100.965168 \nL 315.080784 95.317224 \nL 315.256591 90.33993 \nL 314.628333 86.167102 \nL 313.193161 82.896749 \nL 310.97573 80.584731 \nL 308.027019 79.242821 \nL 304.421215 78.84114 \nL 300.250933 79.314384 \nL 295.621492 80.570632 \nL 290.64479 82.50125 \nL 285.43342 84.990431 \nL 280.095589 87.923571 \nL 274.731034 91.193505 \nL 269.428181 94.704783 \nL 264.262439 98.375748 \nL 259.295544 102.139168 \nL 254.575756 105.941566 \nL 250.138689 109.741779 \nL 246.008533 113.509215 \nL 242.199542 117.221943 \nL 238.717597 120.864882 \nL 235.561751 124.428197 \nL 232.725702 127.905906 \nL 230.19911 131.294804 \nL 227.968757 134.593594 \nL 226.019553 137.80219 \nL 224.335363 140.92127 \nL 222.89969 143.951901 \nL 221.69622 146.895305 \nL 220.709242 149.752665 \nL 219.923972 152.525048 \nL 219.326787 155.213286 \nL 218.905383 157.81794 \nL 218.648891 160.339269 \nL 218.547929 162.777177 \nL 218.594636 165.131158 \nL 218.782672 167.400277 \nL 219.1072 169.583124 \nL 219.564861 171.677732 \nL 220.153735 173.681506 \nL 220.873293 175.591147 \nL 221.724364 177.402524 \nL 222.709074 179.110581 \nL 223.83081 180.709165 \nL 225.094155 182.19086 \nL 226.504835 183.546812 \nL 228.069651 184.766496 \nL 229.796393 185.837471 \nL 231.693745 186.74512 \nL 233.771139 187.472347 \nL 236.038596 187.999279 \nL 238.506497 188.302952 \nL 241.185288 188.357021 \nL 244.085101 188.131484 \nL 247.215282 187.592538 \nL 250.583765 186.702522 \nL 254.196305 185.420094 \nL 258.055545 183.7007 \nL 262.159866 181.497473 \nL 266.502056 178.762664 \nL 271.067752 175.449823 \nL 275.833735 171.516747 \nL 280.766106 166.929485 \nL 285.818506 161.667233 \nL 290.930488 155.72815 \nL 296.026344 149.135769 \nL 301.014681 141.945331 \nL 305.789045 134.249321 \nL 310.230025 126.180869 \nL 314.209006 117.913933 \nL 317.593783 109.658892 \nL 320.255817 101.65297 \nL 322.078696 94.145494 \nL 322.967036 87.379259 \nL 322.85471 81.570216 \nL 321.711297 76.888639 \nL 319.545777 73.444785 \nL 316.406784 71.281523 \nL 312.379363 70.374986 \nL 307.578687 70.642753 \nL 302.141605 71.957401 \nL 296.217217 74.162884 \nL 289.957598 77.090987 \nL 283.509616 80.575459 \nL 277.008427 84.462699 \nL 270.57297 88.618604 \nL 264.303407 92.931715 \nL 258.280221 97.313568 \nL 252.564687 101.697013 \nL 247.200286 106.033477 \nL 242.214696 110.289677 \nL 237.622102 114.444351 \nL 233.425556 118.485298 \nL 229.619243 122.406841 \nL 226.190566 126.207827 \nL 223.121975 129.89003 \nL 220.392534 133.456979 \nL 217.97922 136.913167 \nL 215.857983 140.26345 \nL 214.004577 143.512712 \nL 212.3952 146.665637 \nL 211.006967 149.726575 \nL 209.818253 152.699531 \nL 208.808915 155.588123 \nL 207.960429 158.395611 \nL 206.68036 163.778764 \nL 205.863539 168.869251 \nL 205.421177 173.683748 \nL 205.287769 178.236153 \nL 205.41826 182.538023 \nL 205.785344 186.598716 \nL 206.3772 190.425257 \nL 207.195813 194.021874 \nL 208.255939 197.389213 \nL 209.584711 200.523107 \nL 211.221866 203.412743 \nL 212.172134 204.760124 \nL 213.220533 206.03795 \nL 214.376008 207.241593 \nL 215.648521 208.365259 \nL 217.049111 209.40175 \nL 218.589941 210.342204 \nL 220.28436 211.175761 \nL 222.146931 211.889186 \nL 224.193454 212.466413 \nL 226.440968 212.88803 \nL 228.907687 213.13069 \nL 231.612909 213.16642 \nL 234.576806 212.961902 \nL 237.820139 212.477669 \nL 241.363785 211.667321 \nL 245.228106 210.476775 \nL 249.432034 208.843673 \nL 253.991852 206.69711 \nL 258.919592 203.957865 \nL 264.220961 200.539476 \nL 269.892768 196.350494 \nL 275.919757 191.298398 \nL 282.270964 185.295683 \nL 288.895644 178.268529 \nL 295.719012 170.168368 \nL 302.638362 160.986147 \nL 309.520089 150.768475 \nL 316.198646 139.633771 \nL 322.47837 127.785444 \nL 328.139311 115.518074 \nL 332.947682 103.212252 \nL 336.671047 91.314826 \nL 339.097231 80.303627 \nL 340.05474 70.639987 \nL 339.431855 62.716503 \nL 337.190644 56.81056 \nL 333.373352 53.053798 \nL 328.099488 51.424316 \nL 321.554277 51.762331 \nL 313.970559 53.804101 \nL 305.607486 57.22508 \nL 296.729484 61.682674 \nL 287.588171 66.851479 \nL 278.40897 72.447052 \nL 269.382799 78.238048 \nL 260.662517 84.048618 \nL 252.363078 89.754275 \nL 244.564321 95.273896 \nL 237.315299 100.56055 \nL 230.639289 105.592561 \nL 224.538865 110.365744 \nL 219.000631 114.887155 \nL 213.999405 119.17039 \nL 209.501768 123.232161 \nL 205.468956 127.090039 \nL 201.859175 130.761005 \nL 198.629377 134.260597 \nL 195.736596 137.602504 \nL 193.138908 140.798404 \nL 188.670092 146.789161 \nL 184.928092 152.289094 \nL 177.162466 164.047104 \nL 174.180162 167.945801 \nL 172.635357 169.70992 \nL 171.031944 171.342636 \nL 169.353979 172.836268 \nL 167.586313 174.181594 \nL 165.71449 175.367661 \nL 163.724688 176.38163 \nL 161.603717 177.20861 \nL 159.339047 177.831439 \nL 156.918922 178.230553 \nL 154.332522 178.383831 \nL 151.570234 178.266517 \nL 148.623995 177.851233 \nL 145.487761 177.108142 \nL 142.158091 176.005267 \nL 138.63485 174.509058 \nL 134.922059 172.585347 \nL 131.028882 170.200649 \nL 126.970691 167.323992 \nL 122.770246 163.929275 \nL 118.458875 159.99823 \nL 114.07755 155.523933 \nL 109.677777 150.514701 \nL 105.322125 144.998189 \nL 101.084146 139.02526 \nL 97.047566 132.673012 \nL 93.304499 126.046365 \nL 89.952587 119.277488 \nL 87.090991 112.522395 \nL 84.815442 105.954501 \nL 83.212563 99.755167 \nL 82.353998 94.101957 \nL 82.290945 89.155971 \nL 83.04975 85.049689 \nL 84.62919 81.877324 \nL 86.999774 79.688878 \nL 90.105302 78.488912 \nL 93.866395 78.239727 \nL 98.185631 78.868461 \nL 102.953604 80.276536 \nL 108.055253 82.349995 \nL 113.37581 84.969311 \nL 118.805917 88.017648 \nL 124.245572 91.387038 \nL 129.606858 94.982223 \nL 134.815478 98.722577 \nL 139.811197 102.542337 \nL 144.547514 106.389721 \nL 148.990698 110.225344 \nL 153.118434 114.020292 \nL 156.918279 117.75414 \nL 160.386021 121.413143 \nL 163.524119 124.988582 \nL 166.340204 128.475411 \nL 168.845768 131.871196 \nL 171.055001 135.175243 \nL 172.983804 138.387969 \nL 174.648975 141.510445 \nL 176.067544 144.544062 \nL 177.256248 147.490318 \nL 178.23113 150.350625 \nL 179.007225 153.126262 \nL 179.59835 155.818248 \nL 180.016948 158.427339 \nL 180.274 160.953971 \nL 180.378965 163.398242 \nL 180.339763 165.759854 \nL 180.162785 168.038103 \nL 179.852907 170.231824 \nL 179.413531 172.339319 \nL 178.846614 174.3583 \nL 178.152721 176.285817 \nL 177.331064 178.118133 \nL 176.379549 179.85062 \nL 175.294821 181.477622 \nL 174.072317 182.992284 \nL 172.706313 184.386374 \nL 171.189982 185.650058 \nL 169.515468 186.771668 \nL 167.673972 187.73743 \nL 165.655866 188.53117 \nL 163.45084 189.134001 \nL 161.048095 189.52399 \nL 158.436608 189.675837 \nL 155.605462 189.560564 \nL 152.544288 189.14529 \nL 149.243822 188.393089 \nL 145.696612 187.263036 \nL 141.8979 185.710518 \nL 137.846707 183.687903 \nL 133.547125 181.14574 \nL 129.009823 178.034616 \nL 124.25376 174.307818 \nL 119.308055 169.925002 \nL 114.213905 164.856865 \nL 109.026404 159.090853 \nL 103.816053 152.637688 \nL 98.669637 145.538189 \nL 93.690135 137.8697 \nL 88.99532 129.75088 \nL 84.714606 121.343669 \nL 80.984064 112.850938 \nL 77.939532 104.508832 \nL 75.708152 96.573491 \nL 74.399126 89.30278 \nL 74.094593 82.935249 \nL 74.841909 77.669086 \nL 76.648476 73.644633 \nL 79.480007 70.933492 \nL 83.262468 69.535891 \nL 87.887596 69.386525 \nL 93.221033 70.367164 \nL 99.111998 72.323309 \nL 105.403236 75.08186 \nL 111.940129 78.467219 \nL 118.578159 82.313937 \nL 125.188364 86.475279 \nL 131.6607 90.827731 \nL 137.905484 95.27216 \nL 143.853319 99.732673 \nL 149.453882 104.153827 \nL 154.673958 108.497274 \nL 159.495116 112.73824 \nL 163.911216 116.862284 \nL 167.925995 120.862431 \nL 171.550834 124.736926 \nL 174.802759 128.487411 \nL 177.702744 132.117625 \nL 180.274273 135.632413 \nL 182.54218 139.037099 \nL 184.53172 142.337053 \nL 186.267864 145.537445 \nL 187.774762 148.643103 \nL 189.075359 151.658433 \nL 190.191143 154.587442 \nL 191.141979 157.433736 \nL 192.619747 162.890837 \nL 193.633497 168.052164 \nL 194.281963 172.936335 \nL 194.640381 177.559178 \nL 194.763622 181.934491 \nL 194.689285 186.074356 \nL 194.440402 189.989374 \nL 194.027613 193.688623 \nL 193.450737 197.179468 \nL 192.699747 200.467188 \nL 191.755162 203.55433 \nL 190.587898 206.439802 \nL 189.158583 209.117398 \nL 187.416382 211.573731 \nL 186.40853 212.712021 \nL 185.297345 213.785062 \nL 184.072444 214.787516 \nL 182.722354 215.712718 \nL 181.234428 216.552399 \nL 179.59478 217.296358 \nL 177.788206 217.93208 \nL 175.798143 218.444264 \nL 173.606637 218.814278 \nL 171.194347 219.019535 \nL 168.540608 219.032766 \nL 165.623563 218.821185 \nL 162.420412 218.345594 \nL 158.907782 217.559437 \nL 155.062321 216.407831 \nL 150.861512 214.826699 \nL 146.284832 212.742136 \nL 141.315319 210.070235 \nL 135.941617 206.717619 \nL 130.160632 202.583187 \nL 123.980822 197.561502 \nL 117.426161 191.54848 \nL 110.540704 184.450001 \nL 103.39353 176.193925 \nL 96.083665 166.745701 \nL 88.744236 156.126854 \nL 81.544949 144.434866 \nL 74.69158 131.861066 \nL 68.421193 118.702088 \nL 62.991959 105.359355 \nL 58.667213 92.321621 \nL 55.694343 80.1282 \nL 54.28088 69.315209 \nL 54.571133 60.352916 \nL 56.627774 53.586796 \nL 60.422112 49.195748 \nL 65.835278 47.177559 \nL 72.670272 47.363804 \nL 80.672402 49.458727 \nL 89.554142 53.091077 \nL 99.020069 57.866291 \nL 108.788402 63.409742 \nL 118.606954 69.395721 \nL 128.262928 75.562011 \nL 137.587002 81.712256 \nL 154.774378 93.470876 \nL 162.499197 98.946846 \nL 169.604075 104.119944 \nL 176.08838 108.990799 \nL 181.968804 113.571888 \nL 187.274635 117.882129 \nL 192.043814 121.943108 \nL 196.319733 125.776613 \nL 200.148736 129.403116 \nL 203.57821 132.840951 \nL 206.655171 136.105914 \nL 211.932108 142.167597 \nL 216.317833 147.664935 \nL 225.222066 159.154347 \nL 228.547705 162.842864 \nL 230.250202 164.477669 \nL 232.003964 165.96367 \nL 233.825829 167.292131 \nL 235.731352 168.452709 \nL 237.734889 169.433366 \nL 239.849622 170.220272 \nL 242.087524 170.797704 \nL 244.459285 171.148005 \nL 246.974153 171.251564 \nL 249.639699 171.086859 \nL 252.461504 170.630642 \nL 255.44276 169.858227 \nL 258.583759 168.743953 \nL 261.881301 167.261891 \nL 265.32801 165.386858 \nL 268.911577 163.095703 \nL 272.613938 160.368984 \nL 276.410478 157.193041 \nL 280.269252 153.562379 \nL 284.150382 149.482388 \nL 288.005662 144.972118 \nL 291.778551 140.066998 \nL 295.40468 134.821087 \nL 298.812938 129.308486 \nL 301.927277 123.623482 \nL 304.669322 117.879009 \nL 306.961635 112.203134 \nL 308.731567 106.733565 \nL 309.915443 101.610377 \nL 310.46267 96.967616 \nL 310.339389 92.92458 \nL 309.531279 89.577912 \nL 308.045078 86.995513 \nL 305.908734 85.213021 \nL 303.16999 84.233356 \nL 299.893711 84.029043 \nL 296.158129 84.547103 \nL 292.050494 85.715303 \nL 287.662543 87.44924 \nL 283.086162 89.658996 \nL 278.409673 92.255018 \nL 273.714802 95.152633 \nL 269.074528 98.275223 \nL 264.551749 101.555898 \nL 260.198738 104.938195 \nL 256.057179 108.375829 \nL 252.15871 111.831846 \nL 248.525805 115.277513 \nL 245.172837 118.691003 \nL 242.107265 122.056129 \nL 239.330814 125.361168 \nL 236.840626 128.597819 \nL 234.630311 131.760321 \nL 232.690897 134.844773 \nL 231.011656 137.848532 \nL 229.580811 140.769795 \nL 228.386128 143.607256 \nL 227.415388 146.359846 \nL 226.656782 149.026563 \nL 226.0992 151.606291 \nL 225.732464 154.097705 \nL 225.547492 156.499172 \nL 225.536412 158.808653 \nL 225.692633 161.023627 \nL 226.010884 163.140996 \nL 226.487227 165.157019 \nL 227.119049 167.067185 \nL 227.905027 168.866113 \nL 228.84509 170.547431 \nL 229.940355 172.103632 \nL 231.193052 173.525911 \nL 232.606438 174.804013 \nL 234.184681 175.926053 \nL 235.932727 176.878293 \nL 237.856135 177.644984 \nL 239.960864 178.208146 \nL 242.253031 178.54741 \nL 244.738599 178.639875 \nL 247.422984 178.460021 \nL 250.310604 177.979766 \nL 253.4043 177.168592 \nL 256.704661 175.993934 \nL 260.209224 174.421784 \nL 263.911557 172.417694 \nL 267.800195 169.948144 \nL 271.857512 166.982457 \nL 276.0585 163.495247 \nL 280.369555 159.469487 \nL 284.747385 154.900073 \nL 289.138152 149.797843 \nL 293.476976 144.193636 \nL 297.688101 138.142113 \nL 301.685837 131.724616 \nL 305.376474 125.050521 \nL 308.661338 118.256241 \nL 311.440949 111.501386 \nL 313.62011 104.961786 \nL 315.113689 98.819592 \nL 315.852477 93.251282 \nL 315.788567 88.414806 \nL 314.899531 84.437725 \nL 313.190896 81.407991 \nL 310.696449 79.368644 \nL 307.476385 78.317281 \nL 303.61346 78.209983 \nL 299.207644 78.968891 \nL 294.369944 80.491895 \nL 289.216068 82.663113 \nL 283.860558 85.362502 \nL 278.411834 88.473873 \nL 272.968384 91.890693 \nL 267.616265 95.519667 \nL 262.427736 99.282305 \nL 257.460933 103.115008 \nL 252.760337 106.967983 \nL 248.357814 110.803587 \nL 244.274011 114.594376 \nL 240.519941 118.321108 \nL 237.098613 121.970963 \nL 234.006604 125.535927 \nL 231.235523 129.01149 \nL 228.773308 132.395571 \nL 226.605366 135.687731 \nL 224.715534 138.888562 \nL 223.086863 141.999238 \nL 221.70227 145.021217 \nL 220.545037 147.956026 \nL 219.599207 150.805086 \nL 218.849863 153.569667 \nL 218.283344 156.250788 \nL 217.887382 158.849185 \nL 217.651187 161.365267 \nL 217.565496 163.799102 \nL 217.622587 166.150373 \nL 217.816269 168.418339 \nL 218.141861 170.601786 \nL 218.596155 172.698988 \nL 219.177374 174.707619 \nL 219.885137 176.624653 \nL 220.720403 178.446303 \nL 221.685432 180.167858 \nL 222.783741 181.783575 \nL 224.020048 183.28649 \nL 225.400228 184.668246 \nL 226.931248 185.918865 \nL 228.621106 187.02651 \nL 230.478731 187.977209 \nL 232.513874 188.754561 \nL 234.736957 189.33941 \nL 237.158874 189.70952 \nL 239.790721 189.839249 \nL 242.643461 189.699241 \nL 245.72748 189.256199 \nL 249.051997 188.472752 \nL 252.624366 187.307523 \nL 256.449158 185.715445 \nL 260.527075 183.648486 \nL 264.853617 181.056891 \nL 269.417565 177.891079 \nL 274.199236 174.104431 \nL 279.168591 169.657015 \nL 284.283332 164.520386 \nL 289.487048 158.683402 \nL 294.707763 152.158816 \nL 299.857092 144.990195 \nL 304.83042 137.258251 \nL 309.508446 129.085553 \nL 313.760471 120.638191 \nL 317.449579 112.123014 \nL 320.439723 103.779496 \nL 322.604297 95.865885 \nL 323.835513 88.640544 \nL 324.053498 82.340551 \nL 323.213865 77.160738 \nL 321.312683 73.236524 \nL 318.387929 70.633558 \nL 314.517164 69.345926 \nL 309.811742 69.302636 \nL 304.408447 70.380805 \nL 298.459657 72.422689 \nL 292.123401 75.253415 \nL 285.554306 78.696945 \nL 278.896236 82.58842 \nL 272.277034 86.782444 \nL 265.805312 91.157217 \nL 259.56917 95.615479 \nL 253.636391 100.083128 \nL 248.055752 104.506342 \nL 242.859051 108.848148 \nL 238.063472 113.084889 \nL 233.674089 117.20297 \nL 229.686284 121.196086 \nL 226.087972 125.06296 \nL 222.86157 128.805556 \nL 219.985691 132.427833 \nL 217.436551 135.93478 \nL 215.189117 139.331805 \nL 213.218007 142.624328 \nL 211.498189 145.817547 \nL 210.005499 148.916279 \nL 208.717007 151.924941 \nL 207.611271 154.847531 \nL 206.668482 157.687634 \nL 205.201067 163.133049 \nL 204.190452 168.283549 \nL 203.538332 173.157752 \nL 203.169735 177.771542 \nL 203.029827 182.138785 \nL 203.080796 186.271733 \nL 203.29912 190.181214 \nL 203.67337 193.876633 \nL 204.202604 197.365827 \nL 204.89536 200.654754 \nL 205.769208 203.746947 \nL 206.850839 206.642707 \nL 208.176674 209.337884 \nL 209.793955 211.822029 \nL 210.729988 212.979335 \nL 211.762317 214.07569 \nL 212.900662 215.106596 \nL 214.155785 216.066391 \nL 215.539574 216.948022 \nL 217.065116 217.74274 \nL 218.746781 218.439766 \nL 220.600278 219.025864 \nL 222.642713 219.484876 \nL 224.892615 219.79712 \nL 227.369914 219.938741 \nL 230.09587 219.880933 \nL 233.09292 219.589088 \nL 236.384405 219.021848 \nL 239.994138 218.130125 \nL 243.945772 216.856111 \nL 248.261884 215.132438 \nL 252.962719 212.881586 \nL 258.064486 210.015841 \nL 263.577128 206.43808 \nL 269.501468 202.043855 \nL 275.825692 196.725388 \nL 282.521102 190.378038 \nL 289.537357 182.909917 \nL 296.797342 174.255151 \nL 304.192259 164.39069 \nL 311.577644 153.35593 \nL 318.771494 141.272926 \nL 325.555759 128.363658 \nL 331.682565 114.959148 \nL 336.886168 101.494827 \nL 340.900854 88.487324 \nL 343.483597 76.491538 \nL 344.438792 66.041746 \nL 343.641273 57.586886 \nL 341.053011 51.433569 \nL 336.730062 47.710367 \nL 330.818004 46.361817 \nL 323.536765 47.171912 \nL 315.157857 49.80941 \nL 305.978486 53.882552 \nL 296.296718 58.990744 \nL 286.391018 64.764874 \nL 276.505894 70.892263 \nL 266.843795 77.127312 \nL 257.562522 83.290836 \nL 240.562422 94.969689 \nL 225.99112 105.470621 \nL 219.643893 110.259381 \nL 213.898677 114.758184 \nL 208.722414 118.987961 \nL 204.074449 122.971319 \nL 199.909526 126.73038 \nL 196.180124 130.285528 \nL 192.838216 133.654719 \nL 187.129533 139.893736 \nL 182.42876 145.538609 \nL 171.449922 159.30294 \nL 168.066016 162.831551 \nL 166.324184 164.378909 \nL 164.524959 165.771482 \nL 162.65203 166.999751 \nL 160.690404 168.052564 \nL 158.626352 168.917062 \nL 156.447405 169.578573 \nL 154.142414 170.020576 \nL 151.70167 170.224669 \nL 149.117094 170.170639 \nL 146.382509 169.836544 \nL 143.494003 169.198996 \nL 140.450366 168.233572 \nL 137.253629 166.915415 \nL 133.909698 165.220102 \nL 130.429047 163.124808 \nL 126.827466 160.609803 \nL 123.12686 157.660285 \nL 119.355953 154.268591 \nL 115.550942 150.436651 \nL 111.75594 146.178638 \nL 108.02306 141.523571 \nL 104.412142 136.51764 \nL 100.989879 131.225787 \nL 97.828321 125.732313 \nL 95.002665 120.139973 \nL 92.588317 114.567332 \nL 90.657441 109.14419 \nL 89.275039 104.005301 \nL 88.494988 99.282724 \nL 88.35635 95.09763 \nL 88.880373 91.552392 \nL 90.068553 88.72407 \nL 91.901958 86.660035 \nL 94.34197 85.376372 \nL 97.332373 84.85898 \nL 100.802558 85.067242 \nL 104.67143 85.939438 \nL 108.851729 87.399216 \nL 113.254236 89.362115 \nL 117.791635 91.741499 \nL 122.381689 94.453461 \nL 126.949695 97.420388 \nL 131.430093 100.573256 \nL 135.767343 103.85271 \nL 139.916144 107.209194 \nL 143.841118 110.602471 \nL 147.516141 114.00067 \nL 150.923383 117.379122 \nL 154.052233 120.719179 \nL 156.898161 124.007009 \nL 159.461599 127.232556 \nL 161.746881 130.388639 \nL 163.761279 133.4702 \nL 165.51416 136.473683 \nL 167.016234 139.396558 \nL 168.278942 142.236938 \nL 169.313929 144.993305 \nL 170.132635 147.664286 \nL 170.745957 150.248469 \nL 171.164 152.74428 \nL 171.395879 155.149859 \nL 171.44959 157.462993 \nL 171.331918 159.680992 \nL 171.048381 161.800611 \nL 170.60321 163.817961 \nL 169.99935 165.728413 \nL 169.238478 167.526463 \nL 168.321049 169.205645 \nL 167.246356 170.758354 \nL 166.012593 172.17573 \nL 164.616964 173.447469 \nL 163.055782 174.561687 \nL 161.324617 175.504693 \nL 159.418463 176.260843 \nL 157.331954 176.812338 \nL 155.059614 177.139087 \nL 152.596175 177.218597 \nL 149.936961 177.025923 \nL 147.078354 176.533705 \nL 144.018362 175.712401 \nL 140.757282 174.530655 \nL 137.298493 172.955977 \nL 133.649337 170.955722 \nL 129.822149 168.498497 \nL 125.835336 165.556047 \nL 121.714514 162.105668 \nL 117.493655 158.133147 \nL 113.216063 153.636175 \nL 108.935146 148.628107 \nL 104.714741 143.141768 \nL 100.628912 137.232857 \nL 96.760889 130.982497 \nL 93.201146 124.498177 \nL 90.044394 117.912531 \nL 87.385556 111.379426 \nL 85.314893 105.067176 \nL 83.912596 99.149098 \nL 83.243268 93.792216 \nL 83.35099 89.145363 \nL 84.255472 85.328275 \nL 85.949891 82.423104 \nL 88.400672 80.469764 \nL 91.549341 79.465506 \nL 95.316171 79.368701 \nL 99.605243 80.105821 \nL 104.310221 81.580518 \nL 109.320289 83.683263 \nL 114.525696 86.300309 \nL 119.822409 89.321191 \nL 125.115699 92.64424 \nL 130.322579 96.179938 \nL 135.373082 99.852544 \nL 140.210657 103.600262 \nL 144.791754 107.3743 \nL 149.084876 111.137405 \nL 153.069286 114.862067 \nL 156.733532 118.528683 \nL 160.073898 122.123877 \nL 163.092927 125.638971 \nL 165.798015 129.068764 \nL 168.200163 132.41049 \nL 170.312888 135.663063 \nL 172.151291 138.826462 \nL 173.731287 141.901298 \nL 175.068975 144.888497 \nL 176.180138 147.789088 \nL 177.07986 150.604046 \nL 177.782235 153.334171 \nL 178.300153 155.980044 \nL 178.645165 158.541944 \nL 178.827384 161.019821 \nL 178.85543 163.413247 \nL 178.736416 165.721363 \nL 178.475954 167.942843 \nL 178.078161 170.075837 \nL 177.545706 172.117874 \nL 176.879835 174.065816 \nL 176.080424 175.915722 \nL 175.146023 177.662756 \nL 174.073906 179.301024 \nL 172.860124 180.823436 \nL 171.49957 182.221524 \nL 169.98604 183.485212 \nL 168.312323 184.602606 \nL 166.470299 185.559721 \nL 164.451069 186.340215 \nL 162.245114 186.925098 \nL 159.842519 187.292417 \nL 157.233241 187.416991 \nL 154.407472 187.270143 \nL 151.356088 186.819531 \nL 148.071229 186.029096 \nL 144.547025 184.859179 \nL 140.780466 183.266944 \nL 136.772487 181.207164 \nL 132.529233 178.633512 \nL 128.063504 175.500524 \nL 123.396408 171.766313 \nL 118.559072 167.396214 \nL 113.59441 162.36735 \nL 108.558701 156.674056 \nL 103.522847 150.333941 \nL 98.572926 143.394082 \nL 93.809832 135.936497 \nL 89.347541 128.081982 \nL 85.309853 119.991046 \nL 81.825395 111.860702 \nL 79.020913 103.916452 \nL 77.013359 96.399227 \nL 75.901331 89.548226 \nL 75.756884 83.58167 \nL 76.618783 78.67798 \nL 78.488249 74.96075 \nL 81.327789 72.489731 \nL 85.063469 71.259468 \nL 89.590252 71.205133 \nL 94.779672 72.214389 \nL 100.488769 74.142622 \nL 106.569166 76.828828 \nL 112.875364 80.110018 \nL 119.271516 83.832591 \nL 125.636373 87.859944 \nL 131.866326 92.076614 \nL 137.876729 96.389363 \nL 143.601838 100.726171 \nL 148.993712 105.033845 \nL 154.020424 109.275012 \nL 158.663914 113.424964 \nL 162.91771 117.468687 \nL 166.784677 121.3983 \nL 170.274946 125.210953 \nL 173.404047 128.907159 \nL 176.191302 132.489533 \nL 178.658471 135.9619 \nL 180.828649 139.328657 \nL 182.725377 142.594375 \nL 184.371954 145.763507 \nL 185.790924 148.840261 \nL 187.003695 151.828528 \nL 188.030278 154.731838 \nL 188.889131 157.553387 \nL 189.597055 160.296037 \nL 190.618932 165.554712 \nL 191.19707 170.525538 \nL 191.407613 175.222797 \nL 191.30412 179.657917 \nL 190.920164 183.839616 \nL 190.271675 187.773722 \nL 189.358763 191.462588 \nL 188.166921 194.904081 \nL 186.66757 198.090045 \nL 185.789796 199.582448 \nL 184.817991 201.003949 \nL 183.744498 202.350629 \nL 182.560671 203.617542 \nL 181.256834 204.798529 \nL 179.822235 205.885979 \nL 178.245014 206.870562 \nL 176.512161 207.740893 \nL 174.609497 208.483169 \nL 172.521682 209.08071 \nL 170.23224 209.51346 \nL 167.723636 209.757417 \nL 164.977422 209.783989 \nL 161.974474 209.559301 \nL 158.695323 209.043497 \nL 155.120672 208.190036 \nL 151.232107 206.945083 \nL 147.013029 205.247114 \nL 142.449954 203.026869 \nL 137.53414 200.207876 \nL 132.263686 196.707865 \nL 126.646092 192.44139 \nL 120.701299 187.324112 \nL 114.465201 181.279152 \nL 107.993415 174.24585 \nL 101.365037 166.191097 \nL 94.685955 157.122784 \nL 88.091009 147.104521 \nL 81.744179 136.269494 \nL 75.835819 124.830736 \nL 70.576186 113.083982 \nL 66.184691 101.399664 \nL 62.875126 90.201495 \nL 60.837968 79.931881 \nL 60.221879 71.007784 \nL 61.117298 63.77441 \nL 63.544923 58.465855 \nL 67.451588 55.181288 \nL 72.714303 53.881598 \nL 79.151913 54.406202 \nL 86.542072 56.504787 \nL 94.64071 59.876181 \nL 103.200894 64.205929 \nL 111.988861 69.196903 \nL 120.795792 74.589671 \nL 129.445032 80.172882 \nL 137.795132 85.785111 \nL 145.739598 91.311143 \nL 153.204319 96.674893 \nL 160.143622 101.831316 \nL 166.535714 106.758453 \nL 172.378055 111.450504 \nL 177.683016 115.912228 \nL 182.474042 120.154673 \nL 186.782364 124.192061 \nL 190.644302 128.039685 \nL 194.099111 131.712558 \nL 197.187301 135.224589 \nL 199.949377 138.58817 \nL 202.424918 141.814023 \nL 206.666493 147.887095 \nL 210.191186 153.497636 \nL 218.722935 167.79197 \nL 221.482962 171.708601 \nL 222.929563 173.495414 \nL 224.441529 175.160554 \nL 226.033779 176.696884 \nL 227.720749 178.095754 \nL 229.516481 179.346822 \nL 231.434697 180.437868 \nL 233.488823 181.354546 \nL 235.691966 182.080166 \nL 238.056834 182.595454 \nL 240.595595 182.878323 \nL 243.319646 182.903692 \nL 246.239302 182.643346 \nL 249.363354 182.065914 \nL 252.698523 181.136993 \nL 256.248751 179.819503 \nL 260.014347 178.074367 \nL 263.990969 175.861529 \nL 268.16842 173.141592 \nL 272.529348 169.877983 \nL 277.047798 166.03987 \nL 281.687773 161.60581 \nL 286.4019 156.568132 \nL 291.130349 150.937807 \nL 295.800228 144.749538 \nL 300.325733 138.066476 \nL 304.609263 130.983814 \nL 308.543801 123.630331 \nL 312.016648 116.166994 \nL 314.914572 108.781802 \nL 317.130118 101.680662 \nL 318.568631 95.074621 \nL 319.15535 89.164575 \nL 318.841699 84.125485 \nL 317.609933 80.092218 \nL 315.475474 77.149367 \nL 312.486535 75.326619 \nL 308.721024 74.60005 \nL 304.281186 74.899049 \nL 299.286668 76.117102 \nL 293.86686 78.124568 \nL 288.153434 80.78145 \nL 282.273707 83.948474 \nL 276.345354 87.495658 \nL 270.472667 91.307862 \nL 264.744317 95.287709 \nL 259.232495 99.356215 \nL 253.993139 103.451793 \nL 249.066961 107.528302 \nL 244.481013 111.552622 \nL 240.250522 115.502125 \nL 236.380833 119.36233 \nL 232.869307 123.124825 \nL 229.707094 126.785545 \nL 226.880718 130.343413 \nL 224.37345 133.799325 \nL 222.166481 137.15535 \nL 220.239879 140.414209 \nL 218.573367 143.578886 \nL 217.146921 146.652406 \nL 215.941249 149.63765 \nL 214.938117 152.537287 \nL 214.120602 155.353742 \nL 213.473246 158.089133 \nL 212.982153 160.745309 \nL 212.635034 163.323826 \nL 212.421214 165.825961 \nL 212.331618 168.252708 \nL 212.358723 170.604753 \nL 212.740452 175.086033 \nL 213.08736 177.215058 \nL 213.535429 179.268895 \nL 214.084136 181.246427 \nL 214.734208 183.146014 \nL 215.487583 184.965423 \nL 216.347377 186.701735 \nL 217.317862 188.351226 \nL 218.404449 189.909225 \nL 219.61367 191.369962 \nL 220.953168 192.726372 \nL 222.431684 193.96987 \nL 224.059036 195.090092 \nL 225.846089 196.074609 \nL 227.804704 196.908571 \nL 229.947669 197.574351 \nL 232.288577 198.051111 \nL 234.841665 198.314347 \nL 237.621564 198.335434 \nL 240.642979 198.081159 \nL 243.920221 197.51329 \nL 247.46661 196.588266 \nL 251.293668 195.257054 \nL 255.410114 193.465309 \nL 259.820554 191.153968 \nL 264.523925 188.260498 \nL 269.511574 184.720988 \nL 274.765049 180.473364 \nL 280.253637 175.461957 \nL 285.93173 169.643612 \nL 291.736244 162.99535 \nL 297.584408 155.523389 \nL 303.372295 147.272841 \nL 308.974633 138.33701 \nL 314.246507 128.864566 \nL 319.027433 119.062549 \nL 323.148143 109.193003 \nL 326.440118 99.561596 \nL 328.747293 90.497786 \nL 329.938815 82.327864 \nL 329.921339 75.344458 \nL 328.648892 69.777369 \nL 326.12874 65.771269 \nL 322.422074 63.374428 \nL 317.639327 62.540389 \nL 311.930941 63.141555 \nL 305.474965 64.991089 \nL 298.463476 67.868309 \nL 291.089539 71.543071 \nL 283.536178 75.795761 \nL 275.968084 80.430996 \nL 268.526337 85.285253 \nL 261.32597 90.229045 \nL 254.45576 95.165301 \nL 247.979734 100.025434 \nL 241.939739 104.764246 \nL 236.358579 109.354808 \nL 231.243329 113.78366 \nL 226.588533 118.046815 \nL 222.379156 122.146533 \nL 218.593151 126.088872 \nL 215.203652 129.88195 \nL 212.180774 133.534705 \nL 209.49305 137.056113 \nL 207.108555 140.454703 \nL 204.995758 143.738307 \nL 203.124132 146.913935 \nL 201.464586 149.98776 \nL 198.674054 155.850854 \nL 196.427627 161.362491 \nL 194.558664 166.548486 \nL 189.168434 182.356586 \nL 187.554549 186.231296 \nL 185.75836 189.815616 \nL 183.702928 193.09393 \nL 182.553128 194.610309 \nL 181.307938 196.038708 \nL 179.956216 197.373082 \nL 178.486197 198.605987 \nL 176.88542 199.728327 \nL 175.140661 200.729051 \nL 173.237898 201.594831 \nL 171.162299 202.309667 \nL 168.898237 202.854442 \nL 166.42938 203.206437 \nL 163.738811 203.338799 \nL 160.809272 203.219973 \nL 157.62349 202.813141 \nL 154.164664 202.075702 \nL 150.417119 200.958847 \nL 146.367201 199.407359 \nL 142.004432 197.359746 \nL 137.32298 194.74891 \nL 132.323502 191.503569 \nL 127.015361 187.55076 \nL 121.419244 182.819689 \nL 115.570069 177.247272 \nL 109.520094 170.785608 \nL 103.341951 163.411339 \nL 97.131209 155.136638 \nL 91.007963 146.020953 \nL 85.116755 136.181923 \nL 79.62413 125.803304 \nL 74.713166 115.137085 \nL 70.574698 104.497184 \nL 67.395291 94.242871 \nL 65.34289 84.751911 \nL 64.551665 76.386072 \nL 65.108254 69.454006 \nL 67.041622 64.17859 \nL 70.318451 60.674924 \nL 74.845048 58.943658 \nL 80.475454 58.880184 \nL 87.024378 60.296882 \nL 94.282777 62.952601 \nL 102.033766 66.583539 \nL 110.066836 70.93 \nL 118.188979 75.756192 \nL 126.232292 80.862 \nL 134.057984 86.087678 \nL 141.557451 91.312994 \nL 148.651034 96.45299 \nL 155.285322 101.451987 \nL 161.429601 106.277206 \nL 167.072007 110.912784 \nL 172.215749 115.354647 \nL 176.875614 119.60645 \nL 181.074894 123.676453 \nL 184.842788 127.575312 \nL 188.212264 131.314531 \nL 191.218338 134.905481 \nL 193.896755 138.358798 \nL 196.282983 141.684107 \nL 198.411487 144.889861 \nL 202.025346 150.970755 \nL 204.979196 156.647117 \nL 208.619919 164.467748 \nL 212.861646 173.674943 \nL 215.019049 177.757872 \nL 217.350327 181.476381 \nL 218.613311 183.190543 \nL 219.957941 184.8015 \nL 221.396772 186.302907 \nL 222.942483 187.687001 \nL 224.607979 188.944379 \nL 226.406448 190.063766 \nL 228.3514 191.031708 \nL 230.456671 191.832264 \nL 232.736374 192.446666 \nL 235.204801 192.852934 \nL 237.876245 193.025514 \nL 240.764751 192.934905 \nL 243.883739 192.547324 \nL 247.245498 191.824489 \nL 250.86053 190.723537 \nL 254.736688 189.197194 \nL 258.878098 187.194325 \nL 263.283845 184.660986 \nL 267.94639 181.542179 \nL 272.849748 177.784487 \nL 277.967441 173.339761 \nL 283.260343 168.170041 \nL 288.674552 162.25368 \nL 294.139491 155.592568 \nL 299.566653 148.219978 \nL 304.849256 140.208218 \nL 309.863337 131.674916 \nL 314.470706 122.786352 \nL 318.524042 113.756206 \nL 321.874199 104.838252 \nL 324.379447 96.312419 \nL 325.915909 88.464754 \nL 326.388045 81.563347 \nL 325.737771 75.833842 \nL 323.950873 71.438444 \nL 321.059518 68.462321 \nL 317.140475 66.909706 \nL 312.309215 66.71003 \nL 306.710809 67.732184 \nL 300.509024 69.803811 \nL 293.87504 72.731819 \nL 286.977123 76.320918 \nL 279.972171 80.388241 \nL 272.999656 84.772878 \nL 266.17791 89.340804 \nL 259.602654 93.985864 \nL 253.34721 98.6281 \nL 247.463992 103.210354 \nL 241.986772 107.694267 \nL 236.933368 112.056153 \nL 232.308422 116.283306 \nL 228.106092 120.370814 \nL 224.312508 124.319029 \nL 220.907934 128.131624 \nL 217.868607 131.81417 \nL 215.168264 135.373145 \nL 212.779363 138.815272 \nL 210.674053 142.147116 \nL 208.824898 145.374819 \nL 207.205422 148.504029 \nL 205.790479 151.539821 \nL 204.556509 154.486745 \nL 202.545896 160.129767 \nL 201.020172 165.460626 \nL 199.853348 170.501633 \nL 198.560074 177.559646 \nL 197.308739 186.109455 \nL 195.946599 195.551851 \nL 195.022633 200.613029 \nL 194.298207 203.751106 \nL 193.450095 206.70601 \nL 192.442897 209.479715 \nL 191.235771 212.070599 \nL 189.780411 214.47199 \nL 188.018815 216.66998 \nL 187.001799 217.685609 \nL 185.880813 218.640186 \nL 184.644731 219.528236 \nL 183.281316 220.342911 \nL 181.777117 221.075695 \nL 180.117385 221.716057 \nL 178.285984 222.251037 \nL 176.265332 222.664744 \nL 174.036346 222.937766 \nL 171.578444 223.046478 \nL 168.869592 222.962246 \nL 165.886432 222.650521 \nL 162.604528 222.069834 \nL 158.99876 221.17072 \nL 155.04393 219.89464 \nL 150.715649 218.172976 \nL 145.991569 215.926269 \nL 140.853078 213.063963 \nL 135.287541 209.484947 \nL 129.291225 205.079423 \nL 122.872903 199.732648 \nL 116.05829 193.33131 \nL 108.895113 185.773229 \nL 101.458617 176.981012 \nL 93.857034 166.919755 \nL 86.236179 155.618105 \nL 78.782013 143.190599 \nL 71.719754 129.857453 \nL 65.307986 115.956338 \nL 59.826574 101.939578 \nL 55.558028 88.35137 \nL 52.763368 75.78275 \nL 51.655223 64.808278 \nL 52.372561 55.914801 \nL 54.961858 49.437779 \nL 59.36884 45.520681 \nL 65.442877 44.10692 \nL 72.953122 44.965151 \nL 81.613066 47.738965 \nL 91.108678 52.007033 \nL 101.125256 57.340047 \nL 111.369527 63.344513 \nL 121.58497 69.689531 \nL 131.560272 76.117598 \nL 150.181666 88.544025 \nL 166.443672 99.822056 \nL 180.109433 109.765732 \nL 185.996802 114.264517 \nL 191.297683 118.478439 \nL 196.055408 122.43275 \nL 200.317765 126.151746 \nL 204.134613 129.6575 \nL 207.556098 132.969273 \nL 213.407648 139.072785 \nL 218.239554 144.55755 \nL 227.865981 155.841706 \nL 231.374561 159.388555 \nL 233.152384 160.940063 \nL 234.971892 162.334335 \nL 236.850392 163.562565 \nL 238.803563 164.614415 \nL 240.845535 165.477949 \nL 242.988918 166.139642 \nL 245.244749 166.584316 \nL 247.622408 166.79521 \nL 250.129457 166.754048 \nL 252.771406 166.441198 \nL 255.551405 165.835987 \nL 258.469856 164.917115 \nL 261.523942 163.663262 \nL 264.707107 162.053946 \nL 268.008455 160.070576 \nL 271.412141 157.697831 \nL 274.896728 154.925285 \nL 278.434626 151.749314 \nL 281.991618 148.175172 \nL 285.526611 144.219192 \nL 288.991634 139.91083 \nL 292.332228 135.294484 \nL 295.488308 130.430583 \nL 298.395569 125.395853 \nL 300.987463 120.282328 \nL 303.197718 115.194912 \nL 304.963345 110.247466 \nL 306.227879 105.557533 \nL 306.944717 101.240024 \nL 307.080134 97.400509 \nL 306.615789 94.128801 \nL 305.550324 91.493573 \nL 303.899943 89.538725 \nL 301.697836 88.281848 \nL 298.992499 87.714928 \nL 295.845181 87.80702 \nL 292.326621 88.50852 \nL 288.513495 89.756259 \nL 284.484836 91.478844 \nL 280.318736 93.60164 \nL 276.089528 96.051024 \nL 271.865555 98.757625 \nL 267.707636 101.65856 \nL 263.668122 104.698597 \nL 259.790565 107.83064 \nL 256.10981 111.015512 \nL 252.652465 114.221351 \nL 249.437633 117.422745 \nL 246.477777 120.599795 \nL 243.779674 123.737142 \nL 241.345382 126.823063 \nL 239.173159 129.848696 \nL 237.258331 132.807306 \nL 235.59407 135.69376 \nL 234.172075 138.504043 \nL 232.983158 141.234864 \nL 232.017749 143.88339 \nL 231.266289 146.446987 \nL 230.719567 148.923043 \nL 230.368974 151.308808 \nL 230.206701 153.601271 \nL 230.225876 155.797033 \nL 230.420669 157.892204 \nL 230.786343 159.882299 \nL 231.319286 161.76212 \nL 232.017006 163.525648 \nL 232.878108 165.165938 \nL 233.902236 166.674977 \nL 235.090007 168.04355 \nL 236.44291 169.261106 \nL 237.963186 170.315598 \nL 239.653669 171.193365 \nL 241.517613 171.878972 \nL 243.558461 172.355116 \nL 245.779557 172.602537 \nL 248.183839 172.59999 \nL 250.773424 172.324304 \nL 253.549147 171.750564 \nL 256.510006 170.852421 \nL 259.652522 169.602603 \nL 262.970016 167.973713 \nL 266.451779 165.939298 \nL 270.082208 163.47529 \nL 273.839887 160.561859 \nL 277.696663 157.185629 \nL 281.616823 153.342298 \nL 285.55645 149.039555 \nL 289.463018 144.300047 \nL 293.275448 139.1642 \nL 296.924733 133.692475 \nL 300.335199 127.966642 \nL 303.426593 122.089574 \nL 306.116961 116.183172 \nL 308.326261 110.384116 \nL 309.980566 104.837536 \nL 311.016444 99.688869 \nL 311.385275 95.074735 \nL 311.05689 91.113776 \nL 310.02221 87.898616 \nL 308.294456 85.490176 \nL 305.908831 83.914801 \nL 302.920596 83.164727 \nL 299.40185 83.201548 \nL 295.437319 83.961982 \nL 291.119621 85.364982 \nL 286.544527 87.319219 \nL 281.806563 89.729949 \nL 276.99528 92.504832 \nL 272.192419 95.558186 \nL 267.469949 98.813735 \nL 262.888973 102.206019 \nL 258.499412 105.6806 \nL 254.340267 109.193547 \nL 250.440358 112.710357 \nL 246.819334 116.204655 \nL 243.488871 119.656779 \nL 240.453919 123.05247 \nL 237.713941 126.381661 \nL 235.264083 129.637439 \nL 233.096233 132.815214 \nL 231.19997 135.912038 \nL 229.563361 138.926052 \nL 228.173659 141.856082 \nL 227.017856 144.701365 \nL 226.08315 147.46128 \nL 225.357291 150.1352 \nL 224.828871 152.722349 \nL 224.487514 155.221709 \nL 224.324033 157.631924 \nL 224.330526 159.95123 \nL 224.500433 162.177375 \nL 224.828565 164.307536 \nL 225.31111 166.33825 \nL 225.945611 168.2653 \nL 226.730935 170.083602 \nL 227.667238 171.787109 \nL 228.75589 173.368627 \nL 229.999418 174.819705 \nL 231.401411 176.130422 \nL 232.966422 177.289236 \nL 234.699844 178.282762 \nL 236.607746 179.095538 \nL 238.696694 179.709858 \nL 240.973512 180.105548 \nL 243.444982 180.259779 \nL 246.117493 180.146967 \nL 248.996578 179.738734 \nL 252.086382 179.003999 \nL 255.388984 177.909242 \nL 258.903613 176.419072 \nL 262.62572 174.497049 \nL 266.545908 172.107009 \nL 270.648765 169.214869 \nL 274.91155 165.79099 \nL 279.302933 161.813261 \nL 283.781704 157.270729 \nL 288.295761 152.167793 \nL 292.781377 146.528605 \nL 297.163107 140.401426 \nL 301.35445 133.862131 \nL 305.259537 127.016358 \nL 308.775986 119.999345 \nL 311.798954 112.972831 \nL 314.226377 106.11852 \nL 315.964965 99.628275 \nL 316.936544 93.691615 \nL 317.084073 88.481848 \nL 316.37654 84.142751 \nL 314.812174 80.777692 \nL 312.419356 78.442742 \nL 309.255169 77.14496 \nL 305.401726 76.845636 \nL 300.960723 77.467846 \nL 296.046895 78.906713 \nL 290.781243 81.040709 \nL 285.284572 83.742407 \nL 279.671958 86.88749 \nL 274.048511 90.361412 \nL 268.506433 94.06359 \nL 263.123439 97.909353 \nL 257.962245 101.830133 \nL 253.071003 105.772396 \nL 248.484347 109.695866 \nL 244.224871 113.571383 \nL 240.304796 117.378741 \nL 236.727718 121.1047 \nL 233.490296 124.741209 \nL 230.583818 128.284015 \nL 227.995599 131.731446 \nL 225.710198 135.08357 \nL 223.710444 138.341542 \nL 221.978284 141.507096 \nL 220.49547 144.582267 \nL 219.244096 147.569122 \nL 218.207011 150.469637 \nL 217.368125 153.285616 \nL 216.712624 156.018593 \nL 216.227122 158.669856 \nL 215.899745 161.240369 \nL 215.720177 163.730791 \nL 215.679672 166.141445 \nL 215.771043 168.472283 \nL 215.988636 170.722868 \nL 216.328287 172.89234 \nL 216.787281 174.979336 \nL 217.364308 176.981956 \nL 218.059411 178.897664 \nL 218.873951 180.723198 \nL 219.81056 182.454464 \nL 220.873103 184.086397 \nL 222.066643 185.612797 \nL 223.397401 187.026152 \nL 224.872717 188.317423 \nL 226.500994 189.475803 \nL 228.291641 190.488441 \nL 230.254983 191.340137 \nL 232.402153 192.012995 \nL 234.744927 192.486087 \nL 237.295521 192.735048 \nL 240.066297 192.731728 \nL 243.06939 192.443842 \nL 246.316214 191.834711 \nL 249.816805 190.863139 \nL 253.579018 189.483487 \nL 257.607496 187.646096 \nL 261.902426 185.298163 \nL 266.458029 182.385227 \nL 271.260817 178.853497 \nL 276.28761 174.653168 \nL 281.503438 169.742869 \nL 286.85936 164.095382 \nL 292.290519 157.704423 \nL 297.714631 150.592303 \nL 303.031304 142.817632 \nL 308.122654 134.482118 \nL 312.855569 125.734974 \nL 317.086031 116.773273 \nL 320.66567 107.836831 \nL 323.450329 99.196546 \nL 325.310103 91.136422 \nL 326.139816 83.930827 \nL 325.868674 77.819998 \nL 324.467598 72.98772 \nL 321.953093 69.545106 \nL 318.386918 67.523407 \nL 313.871551 66.876777 \nL 308.542126 67.493969 \nL 302.55611 69.216058 \nL 296.082082 71.856666 \nL 289.289088 75.221267 \nL 282.337569 79.123084 \nL 275.372497 83.39428 \nL 268.518942 87.892359 \nL 261.879852 92.502371 \nL 255.535737 97.13608 \nL 249.54576 101.729122 \nL 243.94974 106.23715 \nL 238.770714 110.631794 \nL 234.017673 114.896781 \nL 229.688283 119.02464 \nL 225.771403 123.01396 \nL 222.249342 126.867249 \nL 219.099791 130.589383 \nL 216.297452 134.186467 \nL 213.815356 137.665063 \nL 211.625901 141.031706 \nL 209.701667 144.292616 \nL 208.016013 147.453535 \nL 206.543503 150.519671 \nL 205.2602 153.495718 \nL 203.173916 159.193811 \nL 201.600239 164.57621 \nL 200.40992 169.665915 \nL 199.498914 174.482072 \nL 198.480632 181.228799 \nL 195.493303 203.287764 \nL 194.480879 207.73424 \nL 193.648347 210.48402 \nL 192.650475 213.064197 \nL 191.446777 215.472566 \nL 189.98858 217.701821 \nL 188.216823 219.737299 \nL 187.191454 220.674968 \nL 186.059555 221.553568 \nL 184.809654 222.367414 \nL 183.429107 223.109397 \nL 181.903994 223.770667 \nL 180.219033 224.340277 \nL 178.357483 224.804735 \nL 176.301077 225.147472 \nL 174.029975 225.348217 \nL 171.52275 225.382263 \nL 168.756451 225.219604 \nL 165.706731 224.823976 \nL 162.348111 224.151776 \nL 158.654403 223.150914 \nL 154.599356 221.759647 \nL 150.157608 219.905515 \nL 145.306024 217.504548 \nL 140.025509 214.461011 \nL 134.303449 210.668062 \nL 128.136848 206.009875 \nL 121.536255 200.365852 \nL 114.530535 193.617737 \nL 107.172302 185.660436 \nL 99.54385 176.417116 \nL 91.76286 165.858681 \nL 83.987129 154.026685 \nL 76.41685 141.057138 \nL 69.292978 127.200819 \nL 62.890014 112.833776 \nL 57.50193 98.450956 \nL 53.421206 84.637382 \nL 50.912317 72.01559 \nL 50.183084 61.174821 \nL 51.358837 52.594939 \nL 54.464543 46.582518 \nL 59.419068 43.234782 \nL 66.042963 42.440254 \nL 74.07829 43.913712 \nL 83.216204 47.254083 \nL 93.126904 52.009437 \nL 103.487077 57.734859 \nL 114.00135 64.034222 \nL 124.416363 70.583419 \nL 144.18039 83.524758 \nL 161.719125 95.417501 \nL 176.617591 105.907768 \nL 183.072338 110.634847 \nL 188.898829 115.045498 \nL 194.137258 119.166689 \nL 198.834398 123.025531 \nL 203.040638 126.647359 \nL 206.807736 130.054754 \nL 213.228929 136.300373 \nL 218.487745 141.878652 \nL 230.520164 155.128911 \nL 232.317128 156.837769 \nL 234.122207 158.395 \nL 235.955575 159.793908 \nL 237.83543 161.026355 \nL 239.778123 162.082726 \nL 241.798242 162.951927 \nL 243.908647 163.621385 \nL 246.120463 164.077048 \nL 248.442999 164.303463 \nL 250.883622 164.283878 \nL 253.447562 164.000428 \nL 256.137635 163.434453 \nL 258.95391 162.566912 \nL 261.8933 161.378985 \nL 264.949097 159.85288 \nL 268.110481 157.972801 \nL 271.361953 155.726233 \nL 274.682861 153.105371 \nL 278.046886 150.108843 \nL 281.421712 146.743487 \nL 284.76885 143.026266 \nL 288.043697 138.985978 \nL 291.195958 134.664729 \nL 294.170495 130.11881 \nL 296.908584 125.418775 \nL 299.34972 120.648484 \nL 301.433862 115.902927 \nL 303.104041 111.284816 \nL 304.309245 106.899987 \nL 305.007279 102.852049 \nL 305.167414 99.236573 \nL 304.772554 96.135599 \nL 303.8207 93.612954 \nL 302.325471 91.71103 \nL 300.315708 90.449193 \nL 297.834101 89.824179 \nL 294.935028 89.812159 \nL 291.681809 90.372134 \nL 288.143611 91.450188 \nL 284.392324 92.984048 \nL 280.4996 94.907473 \nL 276.534285 97.154033 \nL 272.560344 99.660117 \nL 268.635354 102.367148 \nL 264.809541 105.222847 \nL 261.125316 108.181858 \nL 257.617253 111.205773 \nL 254.312418 114.262742 \nL 251.230915 117.326828 \nL 248.386617 120.377253 \nL 245.787992 123.397544 \nL 243.438942 126.374774 \nL 241.339638 129.298832 \nL 239.487312 132.161782 \nL 237.876985 134.957327 \nL 236.502095 137.680335 \nL 235.355081 140.326495 \nL 234.427832 142.89201 \nL 233.712112 145.373341 \nL 233.199869 147.767015 \nL 232.883497 150.069455 \nL 232.756035 152.276836 \nL 232.811314 154.384971 \nL 233.044059 156.389156 \nL 233.449947 158.284106 \nL 234.025646 160.063813 \nL 234.768795 161.721426 \nL 235.677989 163.249162 \nL 236.752711 164.638149 \nL 237.993251 165.878322 \nL 239.400602 166.958294 \nL 240.976304 167.865251 \nL 242.722283 168.584828 \nL 244.640626 169.101027 \nL 246.733328 169.396173 \nL 249.001991 169.450909 \nL 251.447444 169.244288 \nL 254.069327 168.75394 \nL 256.865585 167.956399 \nL 259.831889 166.827596 \nL 262.961002 165.343579 \nL 266.242055 163.481462 \nL 269.659791 161.220718 \nL 273.193781 158.544786 \nL 276.817644 155.442963 \nL 280.49837 151.912655 \nL 284.195772 147.961788 \nL 287.862194 143.61131 \nL 291.442577 138.897529 \nL 294.875002 133.873969 \nL 298.091788 128.612424 \nL 301.021259 123.202828 \nL 303.590158 117.751612 \nL 305.726689 112.378304 \nL 307.364027 107.210415 \nL 308.444073 102.376839 \nL 308.921112 98.000339 \nL 308.765047 94.189814 \nL 307.963813 91.033398 \nL 306.52467 88.593095 \nL 304.474251 86.901799 \nL 301.857291 85.962866 \nL 298.734165 85.752162 \nL 295.177512 86.222335 \nL 291.268348 87.308344 \nL 287.091957 88.933648 \nL 282.733998 91.016131 \nL 278.277096 93.473471 \nL 273.798049 96.227157 \nL 269.365824 99.205532 \nL 265.040266 102.345436 \nL 260.871513 105.592962 \nL 256.899979 108.903362 \nL 253.156775 112.240423 \nL 249.664453 115.57552 \nL 246.437954 118.886492 \nL 243.485667 122.15653 \nL 240.810513 125.373101 \nL 238.410984 128.527009 \nL 236.282132 131.611566 \nL 234.416457 134.621945 \nL 232.804685 137.554617 \nL 231.43645 140.406931 \nL 230.300847 143.176758 \nL 229.386903 145.862277 \nL 228.683958 148.461713 \nL 228.181952 150.973235 \nL 227.87166 153.394793 \nL 227.744852 155.724 \nL 227.794411 157.958063 \nL 228.014412 160.093652 \nL 228.400162 162.126846 \nL 228.948207 164.05299 \nL 229.656324 165.866618 \nL 230.523492 167.561301 \nL 231.54983 169.12955 \nL 232.736538 170.562646 \nL 234.085798 171.850498 \nL 235.600664 172.981485 \nL 237.284926 173.942272 \nL 239.142935 174.717664 \nL 241.179401 175.290421 \nL 243.399143 175.641133 \nL 245.806771 175.748135 \nL 248.406315 175.587465 \nL 251.200781 175.132928 \nL 254.191592 174.356315 \nL 257.377965 173.227789 \nL 260.756153 171.716518 \nL 264.31859 169.791662 \nL 268.052947 167.423677 \nL 271.941108 164.586121 \nL 275.958084 161.257893 \nL 280.070985 157.426009 \nL 284.238079 153.088782 \nL 288.408119 148.259309 \nL 292.520001 142.968963 \nL 296.503011 137.270595 \nL 300.277794 131.24084 \nL 303.758158 124.981056 \nL 306.853848 118.616225 \nL 309.474278 112.291449 \nL 311.533039 106.165768 \nL 312.952959 100.403571 \nL 313.671244 95.164214 \nL 313.644148 90.591023 \nL 312.850658 86.801026 \nL 311.294689 83.876834 \nL 309.005476 81.861851 \nL 306.036077 80.759395 \nL 302.460127 80.53568 \nL 298.367315 81.125876 \nL 293.858017 82.442278 \nL 289.037712 84.38316 \nL 284.011769 86.84132 \nL 278.880871 89.711252 \nL 273.737489 92.894646 \nL 268.663381 96.303891 \nL 263.728169 99.863991 \nL 258.98881 103.512949 \nL 254.489831 107.201152 \nL 250.26411 110.890128 \nL 246.334022 114.550953 \nL 242.712804 118.162574 \nL 239.405982 121.710197 \nL 236.412796 125.183842 \nL 233.727549 128.577119 \nL 231.340816 131.88624 \nL 229.240519 135.109212 \nL 227.412848 138.245233 \nL 225.843042 141.294237 \nL 224.516014 144.256557 \nL 223.416866 147.1327 \nL 222.531287 149.923141 \nL 221.845855 152.628235 \nL 221.348261 155.248114 \nL 221.027467 157.782626 \nL 220.873812 160.231265 \nL 220.879076 162.593135 \nL 221.036502 164.866882 \nL 221.340811 167.050615 \nL 221.788181 169.141894 \nL 222.376221 171.137579 \nL 223.103936 173.033779 \nL 223.971683 174.825725 \nL 224.981115 176.507634 \nL 226.135128 178.072583 \nL 227.437796 179.512319 \nL 228.894297 180.817055 \nL 230.510822 181.975291 \nL 232.294465 182.973539 \nL 234.253097 183.796097 \nL 236.395194 184.424774 \nL 238.729616 184.838627 \nL 241.265339 185.013697 \nL 244.01111 184.922811 \nL 246.975003 184.535435 \nL 250.163876 183.817642 \nL 253.582676 182.732271 \nL 257.233615 181.23934 \nL 261.115182 179.296788 \nL 265.220947 176.861733 \nL 269.538241 173.892239 \nL 274.04665 170.349853 \nL 278.716448 166.202916 \nL 283.506978 161.430697 \nL 288.365261 156.028294 \nL 293.224847 150.012086 \nL 298.005305 143.425247 \nL 302.612576 136.342756 \nL 306.940453 128.874868 \nL 310.873526 121.168089 \nL 314.291606 113.402642 \nL 317.075707 105.785608 \nL 319.115155 98.539652 \nL 320.315334 91.887984 \nL 320.605207 86.037196 \nL 319.943663 81.160217 \nL 318.323792 77.382049 \nL 315.774432 74.770651 \nL 312.35865 73.334244 \nL 308.169403 73.025381 \nL 303.322932 73.750386 \nL 297.950829 75.38252 \nL 292.191705 77.776213 \nL 286.183406 80.780496 \nL 280.056421 84.25003 \nL 273.928903 88.052943 \nL 267.903362 92.075526 \nL 262.065013 96.224048 \nL 256.481445 100.424443 \nL 251.203349 104.620565 \nL 246.265953 108.7717 \nL 241.690888 112.849755 \nL 237.488262 116.836537 \nL 233.658732 120.721326 \nL 230.195497 124.498797 \nL 227.086075 128.167387 \nL 224.313897 131.727993 \nL 221.859646 135.183027 \nL 219.702378 138.535761 \nL 217.82043 141.789841 \nL 216.192133 144.948966 \nL 214.796367 148.016715 \nL 213.61297 150.996445 \nL 212.623033 153.891236 \nL 211.809093 156.703847 \nL 211.155257 159.436757 \nL 210.647264 162.092151 \nL 210.019971 167.177793 \nL 209.845574 171.973077 \nL 210.066886 176.486409 \nL 210.649148 180.722196 \nL 211.57799 184.680189 \nL 212.857763 188.354278 \nL 213.63543 190.080894 \nL 214.510384 191.730575 \nL 215.488012 193.299912 \nL 216.574758 194.784578 \nL 217.778125 196.179188 \nL 219.106686 197.477084 \nL 220.570096 198.670129 \nL 222.179096 199.748426 \nL 223.945511 200.700013 \nL 225.882229 201.510518 \nL 228.00316 202.162734 \nL 230.323159 202.636178 \nL 232.857897 202.906574 \nL 235.623655 202.945323 \nL 238.63704 202.718936 \nL 241.914577 202.188495 \nL 245.472143 201.309158 \nL 249.324215 200.02985 \nL 253.482854 198.293165 \nL 257.956452 196.035707 \nL 262.748095 193.189041 \nL 267.853595 189.681513 \nL 273.259115 185.441238 \nL 278.938454 180.400588 \nL 284.850067 174.50241 \nL 290.933991 167.708196 \nL 297.108963 160.008065 \nL 303.270244 151.432018 \nL 309.288625 142.061434 \nL 315.011412 132.038878 \nL 320.265971 121.573938 \nL 324.866447 110.942212 \nL 328.623778 100.475154 \nL 331.358662 90.539491 \nL 332.916248 81.507295 \nL 333.180821 73.720223 \nL 332.088226 67.453827 \nL 329.63391 62.888802 \nL 325.874961 60.094955 \nL 320.92576 59.030809 \nL 314.947882 59.55816 \nL 308.136044 61.467506 \nL 300.702299 64.508306 \nL 292.860806 68.418364 \nL 284.814823 72.947788 \nL 276.746986 77.875574 \nL 268.813216 83.018375 \nL 261.139904 88.232892 \nL 253.8238 93.413564 \nL 246.933865 98.487567 \nL 240.514298 103.408694 \nL 234.588222 108.151093 \nL 229.161495 112.703661 \nL 224.226354 117.065394 \nL 219.764731 121.241722 \nL 215.751123 125.241755 \nL 212.154998 129.076367 \nL 208.942753 132.75689 \nL 206.079273 136.294306 \nL 203.529114 139.698763 \nL 201.257396 142.979333 \nL 199.230438 146.143953 \nL 195.78447 152.151576 \nL 192.958132 157.764158 \nL 189.449534 165.502284 \nL 186.33558 172.466106 \nL 184.258379 176.682957 \nL 182.048847 180.548438 \nL 180.862214 182.343002 \nL 179.604388 184.040298 \nL 178.263014 185.635153 \nL 176.825671 187.121173 \nL 175.279761 188.490528 \nL 173.612428 189.73375 \nL 171.810487 190.839458 \nL 169.860387 191.794083 \nL 167.748222 192.581527 \nL 165.459771 193.182831 \nL 162.980601 193.575769 \nL 160.29624 193.734483 \nL 157.392446 193.629084 \nL 154.255577 193.225324 \nL 150.873102 192.484346 \nL 147.234274 191.362602 \nL 143.331008 189.812005 \nL 139.15897 187.78049 \nL 134.718921 185.213063 \nL 130.018337 182.053575 \nL 125.073271 178.247419 \nL 119.910446 173.745305 \nL 114.569468 168.508266 \nL 109.105023 162.513978 \nL 103.588796 155.76417 \nL 98.110815 148.292696 \nL 92.779788 140.173409 \nL 87.721967 131.526628 \nL 83.078125 122.522543 \nL 78.998307 113.379862 \nL 75.634291 104.358178 \nL 73.130094 95.743496 \nL 71.61123 87.827434 \nL 71.174006 80.882471 \nL 71.876159 75.136673 \nL 73.730471 70.75236 \nL 76.702305 67.812447 \nL 80.711643 66.316954 \nL 85.639298 66.189757 \nL 91.336389 67.29372 \nL 97.635572 69.450648 \nL 104.362617 72.462468 \nL 111.346872 76.130132 \nL 118.429788 80.268218 \nL 125.470971 84.71446 \nL 132.351788 89.334451 \nL 138.976734 94.022361 \nL 145.273085 98.698977 \nL 151.18929 103.308189 \nL 156.692579 107.812716 \nL 161.766218 112.18996 \nL 166.406642 116.428199 \nL 170.620728 120.523357 \nL 174.423312 124.476513 \nL 177.835006 128.291923 \nL 180.880356 131.975623 \nL 183.586322 135.534464 \nL 185.981047 138.975456 \nL 188.092913 142.305363 \nL 189.949815 145.53051 \nL 191.578633 148.656639 \nL 193.004865 151.68893 \nL 195.343354 157.489913 \nL 197.135106 162.964509 \nL 198.521688 168.137483 \nL 199.618535 173.029019 \nL 200.918762 179.874945 \nL 203.455227 193.781708 \nL 204.708385 198.934172 \nL 205.699043 202.114775 \nL 206.862468 205.09304 \nL 208.245742 207.865019 \nL 209.903383 210.420412 \nL 210.854771 211.611297 \nL 211.899832 212.73988 \nL 213.048607 213.801674 \nL 214.312094 214.791046 \nL 215.702339 215.700956 \nL 217.232519 216.522689 \nL 218.917027 217.245509 \nL 220.771542 217.856257 \nL 222.813075 218.338864 \nL 225.060003 218.673793 \nL 227.532055 218.837378 \nL 230.25023 218.801081 \nL 233.236646 218.530651 \nL 236.514264 217.985209 \nL 240.106476 217.116295 \nL 244.03645 215.86692 \nL 248.326251 214.170763 \nL 252.995584 211.95162 \nL 258.060125 209.123389 \nL 263.529335 205.590877 \nL 269.403665 201.251899 \nL 275.671099 196.00118 \nL 282.303045 189.736702 \nL 289.249693 182.369096 \nL 296.435032 173.834516 \nL 303.752082 164.11096 \nL 311.059083 153.237251 \nL 318.177655 141.332585 \nL 324.894287 128.613215 \nL 330.966343 115.401371 \nL 336.133617 102.120891 \nL 340.135633 89.275135 \nL 342.733571 77.405783 \nL 343.734302 67.036312 \nL 343.012772 58.609287 \nL 340.528495 52.430844 \nL 336.332718 48.63522 \nL 330.564419 47.177464 \nL 323.436033 47.854925 \nL 315.211613 50.350154 \nL 306.181745 54.283469 \nL 296.639262 59.26353 \nL 286.859052 64.927023 \nL 277.083624 70.964037 \nL 267.51483 77.129258 \nL 258.31095 83.242147 \nL 241.423322 94.86779 \nL 233.861615 100.266263 \nL 226.92024 105.362264 \nL 220.595294 110.159657 \nL 214.866788 114.672684 \nL 209.70318 118.920995 \nL 205.065121 122.926246 \nL 200.908463 126.70988 \nL 197.186613 130.291796 \nL 193.852304 133.689642 \nL 188.161312 139.991008 \nL 183.484382 145.704907 \nL 172.631545 159.728326 \nL 169.309637 163.367993 \nL 167.602355 164.977184 \nL 165.839838 166.436399 \nL 164.005543 167.736595 \nL 162.084174 168.867105 \nL 160.0616 169.815539 \nL 157.924855 170.567683 \nL 155.662168 171.107406 \nL 153.263059 171.416632 \nL 150.718517 171.475289 \nL 148.021231 171.261418 \nL 145.165942 170.751324 \nL 142.14985 169.919908 \nL 138.973154 168.741186 \nL 135.639649 167.18903 \nL 132.157449 165.238198 \nL 128.539758 162.86573 \nL 124.805697 160.052709 \nL 120.981114 156.786362 \nL 117.09937 153.062578 \nL 113.201904 148.888653 \nL 109.338591 144.286129 \nL 105.567675 139.293486 \nL 101.955187 133.968323 \nL 98.573735 128.388632 \nL 95.500538 122.652678 \nL 92.814709 116.877146 \nL 90.593806 111.193258 \nL 88.909881 105.740897 \nL 87.825239 100.660979 \nL 87.388315 96.086834 \nL 87.630095 92.135433 \nL 88.561478 88.899631 \nL 90.171971 86.442387 \nL 92.429808 84.79375 \nL 95.283597 83.95084 \nL 98.665284 83.880822 \nL 102.494057 84.526097 \nL 106.680837 85.810925 \nL 111.132828 87.648534 \nL 115.757818 89.947789 \nL 120.467852 92.618922 \nL 125.182077 95.577837 \nL 129.828808 98.748982 \nL 134.346691 102.066937 \nL 138.685143 105.476821 \nL 142.804189 108.933925 \nL 146.673846 112.402791 \nL 150.27319 115.856003 \nL 153.58924 119.27288 \nL 156.615756 122.638198 \nL 159.352053 125.940994 \nL 161.801846 129.173591 \nL 163.972213 132.330723 \nL 165.872665 135.408831 \nL 167.514326 138.40556 \nL 168.909251 141.319306 \nL 170.069856 144.148916 \nL 171.008448 146.893435 \nL 171.736861 149.551929 \nL 172.266172 152.12333 \nL 172.606481 154.606349 \nL 172.766758 156.999365 \nL 172.754739 159.300345 \nL 172.57686 161.506763 \nL 172.238222 163.615518 \nL 171.742582 165.622832 \nL 171.092373 167.524155 \nL 170.288733 169.314068 \nL 169.331543 170.986133 \nL 168.219502 172.532766 \nL 166.950195 173.945086 \nL 165.520181 175.212714 \nL 163.925116 176.323631 \nL 162.159877 177.263938 \nL 160.218741 178.017694 \nL 158.095585 178.566708 \nL 155.784146 178.890348 \nL 153.278331 178.965412 \nL 150.572606 178.76606 \nL 147.662473 178.263826 \nL 144.545038 177.427813 \nL 141.219717 176.225014 \nL 137.689032 174.621021 \nL 133.959558 172.580959 \nL 130.04299 170.070963 \nL 125.957298 167.060106 \nL 121.727977 163.522911 \nL 117.389258 159.442481 \nL 112.985214 154.814153 \nL 108.570651 149.649574 \nL 104.211536 143.980834 \nL 99.984836 137.864339 \nL 95.977537 131.383643 \nL 92.284609 124.650748 \nL 89.005887 117.804946 \nL 86.241786 111.008749 \nL 84.088079 104.440664 \nL 82.630035 98.284934 \nL 81.936451 92.719276 \nL 82.054287 87.901802 \nL 83.004473 83.959139 \nL 84.779567 80.977177 \nL 87.34354 78.996077 \nL 90.633864 78.01004 \nL 94.565506 77.971634 \nL 99.036445 78.799645 \nL 103.933986 80.389176 \nL 109.141149 82.62217 \nL 114.542598 85.377135 \nL 120.029552 88.537119 \nL 125.503537 91.995415 \nL 130.878844 95.658978 \nL 136.083798 99.449872 \nL 141.061002 103.305231 \nL 145.766792 107.176054 \nL 150.170165 111.02549 \nL 154.25131 114.826829 \nL 158.000008 118.561507 \nL 161.413981 122.217257 \nL 164.4973 125.786544 \nL 167.258925 129.265226 \nL 169.711401 132.651558 \nL 171.869726 135.94534 \nL 173.750402 139.147373 \nL 175.370648 142.258993 \nL 176.747763 145.281792 \nL 177.898635 148.217393 \nL 178.839355 151.067331 \nL 179.584937 153.832951 \nL 180.149119 156.515341 \nL 180.544224 159.115322 \nL 180.781083 161.633388 \nL 180.868988 164.069683 \nL 180.81569 166.423979 \nL 180.627396 168.695646 \nL 180.308811 170.883567 \nL 179.863163 172.98614 \nL 179.292243 175.001162 \nL 178.59646 176.92577 \nL 177.774876 178.756349 \nL 176.825254 180.488388 \nL 175.744102 182.116353 \nL 174.526722 183.633543 \nL 173.167249 185.031874 \nL 171.658718 186.301691 \nL 169.99312 187.431505 \nL 168.161491 188.407741 \nL 166.154012 189.214417 \nL 163.960158 189.832849 \nL 161.568869 190.241287 \nL 158.968823 190.414597 \nL 156.148734 190.323931 \nL 153.097795 189.936469 \nL 149.80622 189.215251 \nL 146.265935 188.119187 \nL 142.471451 186.603304 \nL 138.420934 184.619371 \nL 134.117492 182.117016 \nL 129.5707 179.045523 \nL 124.798302 175.356414 \nL 119.828145 171.007062 \nL 114.700128 165.96533 \nL 109.468102 160.215325 \nL 104.201503 153.764001 \nL 98.986379 146.648228 \nL 93.925451 138.941515 \nL 89.136887 130.759307 \nL 84.751346 122.261443 \nL 80.907079 113.650416 \nL 77.743069 105.164162 \nL 75.390528 97.063028 \nL 73.963391 89.611452 \nL 73.548878 83.056398 \nL 74.199346 77.605402 \nL 75.926623 73.408078 \nL 78.699842 70.54406 \nL 82.447108 69.01951 \nL 87.060836 68.772424 \nL 92.40594 69.685143 \nL 98.329706 71.601395 \nL 104.672045 74.344626 \nL 111.274936 77.734736 \nL 117.99025 81.601447 \nL 124.68549 85.793429 \nL 131.247372 90.183085 \nL 137.583401 94.668018 \nL 143.621883 99.169798 \nL 149.310701 103.631217 \nL 154.615351 108.012783 \nL 159.516537 112.289074 \nL 164.007623 116.44535 \nL 168.09217 120.474621 \nL 171.781608 124.375273 \nL 175.09321 128.149196 \nL 178.048318 131.800405 \nL 180.670887 135.334053 \nL 182.986277 138.755756 \nL 185.020309 142.071164 \nL 186.798534 145.285694 \nL 188.345685 148.404372 \nL 189.685287 151.431818 \nL 190.839393 154.372179 \nL 191.828423 157.229214 \nL 193.384336 162.706424 \nL 194.482028 167.886714 \nL 195.224302 172.789421 \nL 195.690499 177.431075 \nL 195.939828 181.826206 \nL 195.995985 187.984803 \nL 195.743108 193.656562 \nL 195.214389 198.874647 \nL 194.705541 202.114932 \nL 194.058473 205.171797 \nL 193.253724 208.049299 \nL 192.264141 210.748778 \nL 191.054051 213.267837 \nL 189.577999 215.598761 \nL 187.779045 217.726203 \nL 186.737031 218.705917 \nL 185.586638 219.623729 \nL 184.316507 220.473756 \nL 182.914094 221.248654 \nL 181.365585 221.939305 \nL 179.655805 222.534454 \nL 177.768145 223.020252 \nL 175.684494 223.37973 \nL 173.385211 223.592178 \nL 170.849134 223.632402 \nL 168.053647 223.469896 \nL 164.974845 223.067874 \nL 161.587814 222.382243 \nL 157.86709 221.360488 \nL 153.787349 219.940582 \nL 149.324391 218.050019 \nL 144.456516 215.605162 \nL 139.166401 212.511152 \nL 133.443561 208.662813 \nL 127.287506 203.947024 \nL 120.711663 198.247243 \nL 113.74808 191.450912 \nL 106.452738 183.460486 \nL 98.911214 174.20858 \nL 91.244055 163.677142 \nL 83.610975 151.919609 \nL 76.212523 139.083316 \nL 69.287784 125.427781 \nL 63.106542 111.332703 \nL 57.954875 97.289261 \nL 54.114224 83.869603 \nL 51.835666 71.674351 \nL 51.312525 61.263994 \nL 52.656325 53.08709 \nL 55.880822 47.421651 \nL 60.897728 44.344067 \nL 67.525393 43.732732 \nL 75.508566 45.303547 \nL 84.545109 48.665783 \nL 94.314639 53.383743 \nL 104.504475 59.030828 \nL 114.829793 65.22835 \nL 125.046749 71.666834 \nL 134.958747 78.112053 \nL 153.318393 90.427977 \nL 169.224218 101.506637 \nL 176.191893 106.534661 \nL 182.515544 111.236127 \nL 188.224363 115.633128 \nL 193.3576 119.751009 \nL 197.96091 123.615373 \nL 202.083487 127.250252 \nL 205.775884 130.677097 \nL 212.069961 136.977424 \nL 217.224501 142.627638 \nL 229.020464 156.180293 \nL 232.557242 159.577252 \nL 234.359808 161.048 \nL 236.210245 162.356819 \nL 238.125165 163.494264 \nL 240.119563 164.449347 \nL 242.20684 165.209514 \nL 244.398813 165.760627 \nL 246.705649 166.086975 \nL 249.135741 166.171331 \nL 251.695531 165.995093 \nL 254.389229 165.538524 \nL 257.218481 164.781095 \nL 260.181958 163.70203 \nL 263.274864 162.28101 \nL 266.488398 160.499129 \nL 269.809157 158.340064 \nL 273.218539 155.791596 \nL 276.692154 152.847305 \nL 280.199355 149.508535 \nL 283.702867 145.786449 \nL 287.15869 141.704111 \nL 290.516315 137.298354 \nL 293.719339 132.621156 \nL 296.706594 127.740294 \nL 299.413832 122.738942 \nL 301.775905 117.71397 \nL 303.7295 112.772839 \nL 305.21617 108.029076 \nL 306.185572 103.596628 \nL 306.598548 99.583479 \nL 306.429804 96.08527 \nL 305.669939 93.179546 \nL 304.326446 90.921406 \nL 302.423751 89.340937 \nL 300.002065 88.44289 \nL 297.115338 88.208281 \nL 293.828388 88.597789 \nL 290.213602 89.556354 \nL 286.347433 91.018192 \nL 282.307042 92.911912 \nL 278.167311 95.164977 \nL 273.998388 97.707311 \nL 269.863827 100.474028 \nL 265.819378 103.407111 \nL 261.912358 106.456172 \nL 258.181512 109.578648 \nL 254.657308 112.739395 \nL 251.362489 115.909977 \nL 248.312857 119.067814 \nL 245.51816 122.19526 \nL 242.983028 125.278672 \nL 240.707884 128.307605 \nL 238.689833 131.274085 \nL 236.923453 134.171986 \nL 235.401519 136.996521 \nL 234.115629 139.743826 \nL 233.056733 142.410639 \nL 232.215579 144.994011 \nL 231.583076 147.491119 \nL 231.150581 149.899074 \nL 230.910127 152.214793 \nL 230.854592 154.434871 \nL 230.977808 156.555445 \nL 231.274651 158.572116 \nL 231.741075 160.479811 \nL 232.374124 162.272701 \nL 233.171919 163.94406 \nL 234.133611 165.486153 \nL 235.259326 166.890107 \nL 236.550062 168.145782 \nL 238.007588 169.241608 \nL 239.634295 170.164476 \nL 241.433015 170.899583 \nL 243.406813 171.430349 \nL 245.558728 171.738316 \nL 247.891455 171.803116 \nL 250.406967 171.602524 \nL 253.106085 171.112615 \nL 255.987941 170.308043 \nL 259.049378 169.162489 \nL 262.284264 167.649415 \nL 265.682711 165.743017 \nL 269.230245 163.419552 \nL 272.906926 160.659045 \nL 276.686466 157.447358 \nL 280.535411 153.778654 \nL 284.412479 149.658092 \nL 288.268138 145.104695 \nL 292.044564 140.154092 \nL 295.676098 134.860828 \nL 299.090358 129.299796 \nL 302.21007 123.566351 \nL 304.955667 117.774764 \nL 307.248602 112.054646 \nL 309.01529 106.545307 \nL 310.191294 101.388388 \nL 310.725503 96.719251 \nL 310.583864 92.658167 \nL 309.752144 89.302284 \nL 308.237504 86.719465 \nL 306.068553 84.944795 \nL 303.293943 83.980183 \nL 299.979564 83.796838 \nL 296.204749 84.340253 \nL 292.057801 85.536689 \nL 287.631433 87.300293 \nL 283.018377 89.539908 \nL 278.307615 92.164986 \nL 273.581351 95.090132 \nL 268.912847 98.238249 \nL 264.365149 101.5422 \nL 259.990511 104.945445 \nL 255.830496 108.401748 \nL 251.916534 111.874305 \nL 248.270829 115.334586 \nL 244.907447 118.760993 \nL 241.833522 122.137576 \nL 239.050452 125.45285 \nL 236.555062 128.698716 \nL 234.340661 131.869622 \nL 232.397999 134.961839 \nL 230.716094 137.972877 \nL 229.282941 140.901075 \nL 228.086104 143.745242 \nL 227.113185 146.504442 \nL 226.352225 149.177761 \nL 225.791981 151.764185 \nL 225.422162 154.262496 \nL 225.233594 156.671137 \nL 225.218322 158.988172 \nL 225.369691 161.211179 \nL 225.682379 163.337171 \nL 226.152412 165.362505 \nL 226.777142 167.282782 \nL 227.555232 169.092757 \nL 228.486601 170.78619 \nL 229.572375 172.355708 \nL 230.814807 173.792677 \nL 232.217189 175.087006 \nL 233.783749 176.226969 \nL 235.519513 177.199032 \nL 237.430145 177.987616 \nL 239.521751 178.574922 \nL 241.800633 178.940744 \nL 244.272984 179.062322 \nL 246.944512 178.914253 \nL 249.819992 178.468482 \nL 252.902696 177.694455 \nL 256.193733 176.559442 \nL 259.691253 175.029112 \nL 263.389529 173.068483 \nL 267.277912 170.643244 \nL 271.339679 167.721627 \nL 275.550804 164.27681 \nL 279.878705 160.289951 \nL 284.281139 155.753744 \nL 288.705217 150.676478 \nL 293.086898 145.086208 \nL 297.35101 139.034704 \nL 301.412065 132.60057 \nL 305.17612 125.890894 \nL 308.543664 119.040561 \nL 311.413739 112.208781 \nL 313.68902 105.572357 \nL 315.281624 99.315959 \nL 316.119104 93.619994 \nL 316.150044 88.647603 \nL 315.348503 84.53224 \nL 313.716731 81.367907 \nL 311.285781 79.203233 \nL 308.113843 78.040394 \nL 304.282537 77.838676 \nL 299.891567 78.521899 \nL 295.052532 79.988182 \nL 289.88241 82.120633 \nL 284.497538 84.797318 \nL 279.008448 87.899628 \nL 273.515903 91.318412 \nL 268.108192 94.957784 \nL 262.859664 98.736944 \nL 257.830331 102.590281 \nL 253.066274 106.466408 \nL 248.60067 110.326442 \nL 244.455183 114.142032 \nL 240.641579 117.893337 \nL 237.163376 121.567136 \nL 234.017458 125.155195 \nL 231.195564 128.652918 \nL 228.685629 132.058233 \nL 226.472943 135.370769 \nL 224.541138 138.591223 \nL 222.873008 141.720891 \nL 221.451161 144.761376 \nL 220.258546 147.714329 \nL 219.27885 150.581352 \nL 218.4968 153.363838 \nL 217.898371 156.062969 \nL 217.470934 158.679643 \nL 217.203345 161.214432 \nL 217.085999 163.667583 \nL 217.110832 166.038964 \nL 217.271323 168.328049 \nL 217.562468 170.533857 \nL 217.980745 172.654917 \nL 218.524073 174.689189 \nL 219.191766 176.634001 \nL 219.984494 178.48593 \nL 220.90423 180.2407 \nL 221.954214 181.893067 \nL 223.138903 183.436638 \nL 224.463927 184.863696 \nL 225.936037 186.165003 \nL 227.563039 187.329549 \nL 229.353724 188.344305 \nL 231.317765 189.193912 \nL 233.465586 189.860374 \nL 235.808192 190.322715 \nL 238.356937 190.556647 \nL 241.123222 190.534225 \nL 244.1181 190.223578 \nL 247.351752 189.588705 \nL 250.832843 188.589422 \nL 254.567689 187.181538 \nL 258.559248 185.31738 \nL 262.805868 182.946762 \nL 267.299838 180.018588 \nL 272.025698 176.483242 \nL 276.958361 172.295915 \nL 282.061151 167.421025 \nL 287.28384 161.8377 \nL 292.560925 155.546255 \nL 297.810395 148.575231 \nL 302.93338 140.98836 \nL 307.815014 132.890374 \nL 312.326926 124.4304 \nL 316.331668 115.801372 \nL 319.689091 107.234301 \nL 322.264552 98.986625 \nL 323.938308 91.324956 \nL 324.615135 84.503966 \nL 324.232986 78.74405 \nL 322.769416 74.211496 \nL 320.244701 71.004464 \nL 316.721148 69.147184 \nL 312.298567 68.593276 \nL 307.106656 69.236701 \nL 301.295362 70.928169 \nL 295.024538 73.493493 \nL 288.454156 76.751121 \nL 281.735986 80.526522 \nL 275.007274 84.662414 \nL 268.386648 89.024615 \nL 261.972044 93.504206 \nL 255.840379 98.016899 \nL 250.04852 102.500478 \nL 244.635108 106.911444 \nL 239.622907 111.221294 \nL 235.021356 115.413047 \nL 230.829069 119.478156 \nL 227.036225 123.41398 \nL 223.626683 127.221796 \nL 220.579812 130.905296 \nL 217.872046 134.469507 \nL 215.478141 137.920058 \nL 213.372187 141.262671 \nL 211.528392 144.502881 \nL 209.92167 147.645875 \nL 208.528064 150.696396 \nL 207.325042 153.658745 \nL 206.29168 156.536786 \nL 204.658802 162.053536 \nL 203.496398 167.2706 \nL 202.697907 172.207849 \nL 202.180575 176.882223 \nL 201.882129 181.308581 \nL 201.750028 187.511888 \nL 201.916462 193.226812 \nL 202.339398 198.48802 \nL 203.018452 203.324709 \nL 203.629396 206.324753 \nL 204.387964 209.150762 \nL 205.320217 211.804749 \nL 206.460237 214.285368 \nL 207.851373 216.586502 \nL 209.547905 218.695185 \nL 210.531156 219.670701 \nL 211.617149 220.5885 \nL 212.816747 221.443401 \nL 214.141959 222.228904 \nL 215.606036 222.936907 \nL 217.223562 223.557369 \nL 219.010542 224.077899 \nL 220.98448 224.483268 \nL 223.16443 224.754828 \nL 225.571022 224.869822 \nL 228.22643 224.800586 \nL 231.154272 224.513642 \nL 234.3794 223.968665 \nL 237.927553 223.117379 \nL 241.824804 221.902405 \nL 246.096736 220.256156 \nL 250.767291 218.099933 \nL 255.857164 215.343437 \nL 261.381639 211.885012 \nL 267.347777 207.613119 \nL 273.750847 202.409606 \nL 280.569943 196.155502 \nL 287.76283 188.740166 \nL 295.260274 180.074459 \nL 302.960209 170.108261 \nL 310.722574 158.851904 \nL 318.365922 146.399672 \nL 325.667251 132.951873 \nL 332.36678 118.829876 \nL 338.178963 104.477438 \nL 342.810467 90.441809 \nL 345.984428 77.331339 \nL 347.468331 65.751923 \nL 347.101295 56.232441 \nL 344.815569 49.154538 \nL 340.647593 44.704118 \nL 334.735867 42.856339 \nL 327.30603 43.396587 \nL 318.646296 45.969695 \nL 309.078229 50.142885 \nL 298.928063 55.467142 \nL 288.50271 61.525886 \nL 278.072647 67.965782 \nL 267.862147 74.509999 \nL 248.751104 87.176893 \nL 232.023075 98.654238 \nL 217.947376 108.734421 \nL 211.879949 113.27845 \nL 206.415798 117.524053 \nL 201.511004 121.498091 \nL 197.116828 125.226454 \nL 193.182245 128.732685 \nL 186.487147 135.157604 \nL 181.03133 140.898748 \nL 174.405874 148.38992 \nL 170.596654 152.683172 \nL 166.990485 156.413519 \nL 165.200846 158.059055 \nL 163.391303 159.550666 \nL 161.54276 160.88091 \nL 159.637977 162.040877 \nL 157.661476 163.020171 \nL 155.599479 163.806886 \nL 153.43989 164.387609 \nL 151.172335 164.747421 \nL 148.788268 164.87001 \nL 146.281138 164.737777 \nL 143.646621 164.332071 \nL 140.882933 163.633557 \nL 137.991199 162.622688 \nL 134.975908 161.280406 \nL 131.845403 159.589014 \nL 128.612431 157.533317 \nL 125.294694 155.101972 \nL 121.915362 152.289113 \nL 118.503553 149.096123 \nL 115.094616 145.533572 \nL 111.730243 141.623123 \nL 108.458277 137.399241 \nL 105.332125 132.910521 \nL 102.409734 128.220292 \nL 99.752053 123.406329 \nL 97.421017 118.55937 \nL 95.477066 113.78035 \nL 93.976294 109.176338 \nL 92.967497 104.855423 \nL 92.489244 100.920906 \nL 92.567321 97.465357 \nL 93.212813 94.565204 \nL 94.420937 92.276443 \nL 96.170958 90.632061 \nL 98.427007 89.641272 \nL 101.1399 89.290742 \nL 104.24966 89.547406 \nL 107.68855 90.362461 \nL 111.384293 91.675983 \nL 115.263262 93.421653 \nL 119.25336 95.530999 \nL 123.286445 97.936998 \nL 127.300177 100.576767 \nL 131.239314 103.393393 \nL 135.056453 106.336883 \nL 138.712259 109.364472 \nL 142.175316 112.440405 \nL 145.421663 115.535398 \nL 148.434109 118.625888 \nL 151.201451 121.693179 \nL 153.71759 124.722598 \nL 155.980674 127.702738 \nL 157.992252 130.624717 \nL 159.7565 133.48159 \nL 161.279514 136.267844 \nL 162.568706 138.978966 \nL 163.632254 141.611113 \nL 164.478671 144.160811 \nL 165.116423 146.62478 \nL 165.553643 148.9997 \nL 165.797893 151.282079 \nL 165.85599 153.468131 \nL 165.733876 155.553638 \nL 165.43654 157.533851 \nL 164.967968 159.40336 \nL 164.331125 161.155985 \nL 163.527978 162.784684 \nL 162.559531 164.281398 \nL 161.425887 165.63694 \nL 160.126351 166.840884 \nL 158.659549 167.88142 \nL 157.023566 168.745221 \nL 155.216145 169.41735 \nL 153.234903 169.881188 \nL 151.077615 170.118354 \nL 148.74253 170.108738 \nL 146.22875 169.830601 \nL 143.53669 169.260763 \nL 140.668609 168.374964 \nL 137.629212 167.148393 \nL 134.426322 165.556496 \nL 131.071626 163.576016 \nL 127.581481 161.186358 \nL 123.977723 158.371324 \nL 120.288445 155.121165 \nL 116.548711 151.434937 \nL 112.801065 147.323066 \nL 109.095775 142.809924 \nL 105.490674 137.936179 \nL 102.050514 132.760611 \nL 98.845678 127.361003 \nL 95.950206 121.833664 \nL 93.439148 116.291348 \nL 91.38529 110.859316 \nL 89.855439 105.669639 \nL 88.906507 100.853997 \nL 88.581795 96.535772 \nL 88.907817 92.822052 \nL 89.892067 89.796858 \nL 91.521945 87.516072 \nL 93.76513 86.005049 \nL 96.571206 85.258886 \nL 99.8745 85.245321 \nL 103.597785 85.909561 \nL 107.656388 87.180365 \nL 111.962444 88.976479 \nL 116.428796 91.212736 \nL 120.972352 93.80519 \nL 125.516725 96.675027 \nL 129.994113 99.751256 \nL 134.346343 102.972053 \nL 138.525323 106.285295 \nL 142.492884 109.648189 \nL 146.22021 113.026508 \nL 149.686993 116.393495 \nL 152.880408 119.728687 \nL 155.793997 123.016764 \nL 158.426555 126.246471 \nL 160.781083 129.40965 \nL 162.863789 132.500503 \nL 164.683213 135.514898 \nL 166.249468 138.449879 \nL 167.573582 141.303242 \nL 168.666951 144.073241 \nL 169.540899 146.75833 \nL 170.206323 149.356994 \nL 170.673408 151.867582 \nL 170.951428 154.288214 \nL 171.048585 156.616649 \nL 170.971916 158.850215 \nL 170.727217 160.985699 \nL 170.319021 163.019274 \nL 169.750583 164.946372 \nL 169.023903 166.761594 \nL 168.139763 168.458594 \nL 167.097773 170.029925 \nL 165.896457 171.466904 \nL 164.533329 172.759458 \nL 163.005011 173.895949 \nL 161.307367 174.863004 \nL 159.43568 175.645331 \nL 157.384836 176.225558 \nL 155.149593 176.584063 \nL 152.724881 176.698878 \nL 150.106174 176.545648 \nL 147.289952 176.097655 \nL 144.274232 175.326032 \nL 141.059238 174.200119 \nL 137.648133 172.688085 \nL 134.047915 170.757887 \nL 130.270377 168.378598 \nL 126.333185 165.522202 \nL 122.260981 162.165918 \nL 118.086491 158.294991 \nL 113.851498 153.906032 \nL 109.607645 149.010604 \nL 105.416772 143.638965 \nL 101.350773 137.843438 \nL 97.490672 131.700996 \nL 93.924812 125.314368 \nL 90.746053 118.811122 \nL 88.047941 112.340147 \nL 85.920044 106.065376 \nL 84.442687 100.156885 \nL 83.681568 94.780067 \nL 83.682846 90.084048 \nL 84.469209 86.190836 \nL 86.037507 83.186667 \nL 88.3583 81.116966 \nL 91.377377 79.985263 \nL 95.019089 79.756301 \nL 99.191103 80.362466 \nL 103.789992 81.712351 \nL 108.707048 83.700128 \nL 113.833779 86.214474 \nL 119.066614 89.146145 \nL 124.310599 92.393604 \nL 129.481951 95.866744 \nL 134.509516 99.488697 \nL 139.335278 103.196235 \nL 143.914082 106.939051 \nL 148.212795 110.678375 \nL 152.209087 114.385294 \nL 155.890015 118.038993 \nL 159.25052 121.62502 \nL 162.291944 125.133837 \nL 165.020652 128.559509 \nL 167.446775 131.898708 \nL 169.58311 135.149887 \nL 171.444173 138.312657 \nL 173.045416 141.38734 \nL 174.402581 144.374635 \nL 175.531184 147.275379 \nL 176.446115 150.090384 \nL 177.161334 152.820318 \nL 177.689651 155.465619 \nL 178.04257 158.02646 \nL 178.230181 160.502658 \nL 178.261111 162.893661 \nL 178.14249 165.198477 \nL 177.879955 167.415645 \nL 177.477659 169.543145 \nL 176.938308 171.578342 \nL 176.263187 173.517908 \nL 175.452217 175.357692 \nL 174.50399 177.092612 \nL 173.415829 178.716523 \nL 172.183847 180.222051 \nL 170.803 181.600392 \nL 169.267174 182.841129 \nL 167.569269 183.93198 \nL 165.701308 184.85855 \nL 163.654577 185.604059 \nL 161.419803 186.149062 \nL 158.987388 186.471152 \nL 156.347697 186.5447 \nL 153.491437 186.34063 \nL 150.410137 185.826291 \nL 147.096749 184.965447 \nL 143.546399 183.718476 \nL 139.757295 182.042881 \nL 135.731824 179.894176 \nL 131.477829 177.227307 \nL 127.010077 173.998764 \nL 122.351874 170.169427 \nL 117.536747 165.708332 \nL 112.610136 160.597326 \nL 107.630821 154.836484 \nL 102.672016 148.450027 \nL 97.821662 141.492167 \nL 93.181792 134.052116 \nL 88.866497 126.257145 \nL 84.998345 118.272591 \nL 81.703142 110.297729 \nL 79.103125 102.556865 \nL 77.309106 95.285782 \nL 76.412182 88.71455 \nL 76.476075 83.048862 \nL 77.531039 78.452491 \nL 79.570325 75.033897 \nL 82.549781 72.838907 \nL 86.390651 71.850847 \nL 90.985252 71.997428 \nL 96.204729 73.162938 \nL 101.907759 75.203105 \nL 107.949279 77.960321 \nL 114.188273 81.277054 \nL 120.494059 85.006209 \nL 126.750732 89.017861 \nL 132.859864 93.202784 \nL 138.741532 97.473179 \nL 144.334093 101.761422 \nL 149.592997 106.017708 \nL 154.489008 110.207124 \nL 159.006078 114.306604 \nL 163.139138 118.302163 \nL 166.891938 122.186465 \nL 170.275059 125.956868 \nL 173.304129 129.613848 \nL 175.998288 133.159849 \nL 178.37891 136.598428 \nL 180.468548 139.933696 \nL 182.290095 143.169899 \nL 183.866131 146.311195 \nL 185.218439 149.361506 \nL 186.367645 152.324456 \nL 187.332973 155.203327 \nL 188.132092 158.001095 \nL 188.781036 160.720411 \nL 189.684183 165.932935 \nL 190.137652 170.856962 \nL 190.211793 175.505074 \nL 189.954337 179.886669 \nL 189.392792 184.007917 \nL 188.536546 187.871247 \nL 187.378444 191.474402 \nL 185.895744 194.808889 \nL 185.021396 196.370474 \nL 184.050448 197.857673 \nL 182.975725 199.266473 \nL 181.789041 200.591823 \nL 180.481166 201.827466 \nL 179.041801 202.965679 \nL 177.459552 203.997029 \nL 175.721901 204.910043 \nL 173.815204 205.690853 \nL 171.724711 206.32275 \nL 169.434607 206.78572 \nL 166.928106 207.055892 \nL 164.187613 207.104933 \nL 161.194973 206.899419 \nL 157.93183 206.40018 \nL 154.380153 205.561686 \nL 150.522936 204.331538 \nL 146.345166 202.650177 \nL 141.835078 200.450952 \nL 136.985771 197.660782 \nL 131.79723 194.20167 \nL 126.278782 189.993395 \nL 120.452018 184.957787 \nL 114.354056 179.024918 \nL 108.041038 172.141532 \nL 101.591574 164.281723 \nL 95.109659 155.459466 \nL 88.726419 145.742063 \nL 82.600001 135.262518 \nL 76.912652 124.228311 \nL 71.864338 112.923188 \nL 67.662485 101.698854 \nL 64.50812 90.954565 \nL 62.579453 81.104985 \nL 62.014886 72.539679 \nL 62.897975 65.581037 \nL 65.247037 60.448652 \nL 69.011431 57.237672 \nL 74.075288 55.915546 \nL 80.268173 56.336953 \nL 87.380645 58.272303 \nL 95.182177 61.442875 \nL 103.438637 65.5553 \nL 111.927321 70.329884 \nL 120.44811 75.520076 \nL 128.830545 80.922765 \nL 136.936999 86.380782 \nL 144.662741 91.780037 \nL 151.933782 97.043491 \nL 158.703369 102.123829 \nL 164.947805 106.996201 \nL 170.66214 111.651782 \nL 175.85609 116.092444 \nL 180.550373 120.326638 \nL 184.773553 124.366392 \nL 188.559423 128.225186 \nL 191.944892 131.916613 \nL 194.968329 135.453494 \nL 197.668303 138.847439 \nL 200.082657 142.108634 \nL 204.198541 148.266253 \nL 207.584541 153.979809 \nL 211.79843 161.788516 \nL 215.542422 168.724588 \nL 218.037329 172.85962 \nL 220.685044 176.581039 \nL 222.103394 178.275798 \nL 223.603598 179.851803 \nL 225.199428 181.30125 \nL 226.904497 182.614724 \nL 228.732331 183.780987 \nL 230.696415 184.786738 \nL 232.810191 185.616351 \nL 235.087018 186.251581 \nL 237.540052 186.671291 \nL 240.182089 186.851163 \nL 243.025279 186.763455 \nL 246.080761 186.376818 \nL 249.358168 185.656234 \nL 252.864997 184.563118 \nL 256.605774 183.055687 \nL 260.58109 181.089697 \nL 264.786385 178.619632 \nL 269.210584 175.600563 \nL 273.834531 171.990696 \nL 278.629309 167.754834 \nL 283.554544 162.868725 \nL 288.556813 157.324292 \nL 293.568395 151.135499 \nL 298.5066 144.344424 \nL 303.274031 137.026789 \nL 307.76002 129.296028 \nL 311.843657 121.304634 \nL 315.39844 113.241714 \nL 318.298597 105.3259 \nL 320.426754 97.793241 \nL 321.682267 90.881017 \nL 321.989373 84.808956 \nL 321.304122 79.760632 \nL 319.619048 75.867917 \nL 316.964789 73.201037 \nL 313.408476 71.765833 \nL 309.04894 71.508425 \nL 304.009542 72.325827 \nL 298.429534 74.080483 \nL 292.455104 76.615873 \nL 286.231013 79.770992 \nL 279.893657 83.392124 \nL 273.565832 87.341045 \nL 267.353432 91.499678 \nL 261.343786 95.771714 \nL 255.605509 100.081945 \nL 250.189411 104.374242 \nL 245.130121 108.608588 \nL 240.448154 112.758063 \nL 236.152144 116.805859 \nL 232.241068 120.742694 \nL 228.706329 124.564656 \nL 225.533638 128.271461 \nL 222.704651 131.865158 \nL 220.198354 135.349182 \nL 217.99221 138.727654 \nL 216.063067 142.004952 \nL 214.387887 145.185417 \nL 212.944283 148.273169 \nL 211.710927 151.272044 \nL 210.667826 154.185542 \nL 209.79651 157.016822 \nL 209.080131 159.768724 \nL 208.053153 165.044312 \nL 207.485338 170.029639 \nL 207.300345 174.738545 \nL 207.444792 179.181782 \nL 207.885754 183.367178 \nL 208.608494 187.299271 \nL 209.614701 190.978641 \nL 210.921332 194.400679 \nL 212.560111 197.553747 \nL 213.518021 199.023212 \nL 214.577631 200.416453 \nL 215.747195 201.72863 \nL 217.035993 202.953703 \nL 218.454376 204.084227 \nL 220.013793 205.111074 \nL 221.726819 206.023121 \nL 223.607174 206.806888 \nL 225.669711 207.446115 \nL 227.93039 207.921272 \nL 230.406192 208.20901 \nL 233.114975 208.281561 \nL 236.07526 208.106076 \nL 239.305878 207.64395 \nL 242.82549 206.850158 \nL 246.651905 205.672695 \nL 250.801171 204.052195 \nL 255.286343 201.921881 \nL 260.11592 199.208083 \nL 265.291852 195.831552 \nL 270.807096 191.709946 \nL 276.642719 186.761847 \nL 282.764566 180.912724 \nL 289.119673 174.103171 \nL 295.632649 166.299539 \nL 302.202497 157.506635 \nL 308.700465 147.781657 \nL 314.96972 137.247509 \nL 320.82773 126.102895 \nL 326.072168 114.625808 \nL 330.490776 103.167007 \nL 333.875165 92.130988 \nL 336.037465 81.944423 \nL 336.828059 73.014983 \nL 336.151644 65.687209 \nL 333.978923 60.203817 \nL 330.351613 56.680692 \nL 325.379636 55.1007 \nL 319.230992 55.326933 \nL 312.116134 57.131041 \nL 304.269559 60.229421 \nL 295.931495 64.319619 \nL 287.331981 69.110782 \nL 278.678809 74.34495 \nL 270.149783 79.808615 \nL 261.889088 85.336078 \nL 254.006938 90.806744 \nL 246.581652 96.139014 \nL 239.663212 101.282702 \nL 233.277554 106.211394 \nL 227.431016 110.915655 \nL 222.114588 115.397364 \nL 217.307724 119.665393 \nL 212.981631 123.732392 \nL 209.102005 127.612544 \nL 205.631228 131.32014 \nL 202.530101 134.86864 \nL 199.759155 138.270207 \nL 197.279622 141.535485 \nL 193.047084 147.692017 \nL 189.556877 153.393476 \nL 185.196288 161.164141 \nL 181.301224 168.035165 \nL 178.695875 172.107953 \nL 177.339206 173.98414 \nL 175.925809 175.747687 \nL 174.44092 177.392756 \nL 172.870222 178.912164 \nL 171.199725 180.297211 \nL 169.415674 181.53749 \nL 167.504484 182.620671 \nL 165.452719 183.532241 \nL 163.247119 184.255266 \nL 160.874678 184.770116 \nL 158.322786 185.05421 \nL 155.579462 185.081779 \nL 152.633677 184.823698 \nL 149.475788 184.247396 \nL 146.098106 183.316949 \nL 142.495627 181.993358 \nL 138.666906 180.235158 \nL 134.615143 177.999464 \nL 130.349425 175.243517 \nL 125.886163 171.926936 \nL 121.250598 168.014703 \nL 116.478426 163.481014 \nL 111.617294 158.313907 \nL 106.728063 152.520594 \nL 101.885614 146.133059 \nL 97.178857 139.213413 \nL 92.709721 131.858118 \nL 88.5908 124.200141 \nL 84.94149 116.407889 \nL 81.882549 108.680085 \nL 79.529353 101.236132 \nL 77.98421 94.30232 \nL 77.328629 88.095088 \nL 77.616309 82.803512 \nL 78.86793 78.573449 \nL 81.06846 75.49619 \nL 84.167475 73.60308 \nL 88.082481 72.867048 \nL 92.704778 73.210271 \nL 97.907045 74.516238 \nL 103.551707 76.644033 \nL 109.499074 79.442344 \nL 115.614496 82.761673 \nL 121.774046 86.463507 \nL 127.868457 90.426222 \nL 133.80541 94.547919 \nL 139.510349 98.746845 \nL 144.926079 102.9601 \nL 150.011583 107.141322 \nL 154.740254 111.257934 \nL 159.097865 115.288311 \nL 163.080467 119.219231 \nL 166.692344 123.043608 \nL 169.944133 126.758711 \nL 172.851152 130.364724 \nL 175.431951 133.863667 \nL 177.707117 137.258642 \nL 179.698272 140.553244 \nL 181.427289 143.751261 \nL 182.915682 146.856385 \nL 184.18414 149.872125 \nL 185.252195 152.801716 \nL 186.13799 155.648077 \nL 186.858131 158.413841 \nL 187.427608 161.101334 \nL 187.859761 163.712618 \nL 188.357293 168.713494 \nL 188.425375 173.427923 \nL 188.114826 177.863587 \nL 187.454755 182.024113 \nL 186.45454 185.908386 \nL 185.105389 189.509204 \nL 184.292502 191.198908 \nL 183.381329 192.811205 \nL 182.366009 194.342403 \nL 181.239634 195.787853 \nL 179.994233 197.141783 \nL 178.620769 198.397077 \nL 177.109121 199.545054 \nL 175.448076 200.575172 \nL 173.625341 201.474708 \nL 171.627559 202.228374 \nL 169.440366 202.817906 \nL 167.048477 203.221571 \nL 164.435838 203.413644 \nL 161.585848 203.363863 \nL 158.481679 203.036842 \nL 155.10674 202.391543 \nL 151.445294 201.380808 \nL 147.483288 199.951088 \nL 143.209454 198.042468 \nL 138.61669 195.589159 \nL 133.703817 192.5207 \nL 128.477693 188.764124 \nL 122.955738 184.24742 \nL 117.168781 178.90459 \nL 111.164139 172.682581 \nL 105.008732 165.55019 \nL 98.791809 157.508677 \nL 92.626886 148.603448 \nL 86.652205 138.935448 \nL 81.028968 128.670136 \nL 75.936793 118.04154 \nL 71.565776 107.348429 \nL 68.105324 96.94062 \nL 65.730234 87.194712 \nL 64.585558 78.481128 \nL 64.772199 71.127063 \nL 66.33553 65.381742 \nL 69.259167 61.390981 \nL 73.465049 59.186052 \nL 78.820008 58.688826 \nL 85.147614 59.730917 \nL 92.243313 62.082026 \nL 99.890504 65.481027 \nL 107.875385 69.664347 \nL 115.999073 74.387839 \nL 124.086133 79.440742 \nL 131.989554 84.652111 \nL 139.592537 89.89124 \nL 146.807783 95.064185 \nL 153.575121 100.108025 \nL 159.85811 104.984461 \nL 165.640228 109.673668 \nL 170.921036 114.168904 \nL 175.712582 118.472143 \nL 180.036207 122.59073 \nL 183.919816 126.534901 \nL 187.39561 130.316083 \nL 190.498261 133.9458 \nL 193.263483 137.434956 \nL 195.726954 140.793482 \nL 197.923515 144.030161 \nL 199.886616 147.152608 \nL 203.237239 153.079672 \nL 206.008289 158.614623 \nL 210.570018 168.602638 \nL 212.670398 173.076735 \nL 214.821491 177.202314 \nL 217.133932 180.964942 \nL 218.383087 182.70218 \nL 219.711021 184.337194 \nL 221.130302 185.863909 \nL 222.653597 187.27487 \nL 224.293767 188.561042 \nL 226.063944 189.711557 \nL 227.977566 190.713444 \nL 230.048394 191.551318 \nL 232.290475 192.207034 \nL 234.718053 192.659334 \nL 237.345409 192.883465 \nL 240.186628 192.850802 \nL 243.25525 192.528532 \nL 246.563803 191.879383 \nL 250.123162 190.861522 \nL 253.941745 189.428669 \nL 258.024492 187.530566 \nL 262.371585 185.113893 \nL 266.976939 182.123889 \nL 271.826419 178.506773 \nL 276.895867 174.213188 \nL 282.148937 169.202869 \nL 287.534982 163.450479 \nL 292.987088 156.952622 \nL 298.420667 149.73557 \nL 303.732882 141.862998 \nL 308.803438 133.442622 \nL 313.49712 124.630258 \nL 317.668406 115.629598 \nL 321.168301 106.686269 \nL 323.853199 98.075318 \nL 325.595113 90.08235 \nL 326.292184 82.980256 \nL 325.878189 77.004523 \nL 324.329575 72.331322 \nL 321.668803 69.062227 \nL 317.963505 67.218188 \nL 313.32137 66.743666 \nL 307.881707 67.519305 \nL 301.804797 69.380439 \nL 295.26063 72.137426 \nL 288.418354 75.594883 \nL 281.437392 79.566985 \nL 274.460871 83.888186 \nL 267.611475 88.418984 \nL 260.989514 93.047694 \nL 254.672798 97.689206 \nL 248.717915 102.281933 \nL 243.162346 106.783875 \nL 238.027071 111.168541 \nL 233.319351 115.421107 \nL 229.035424 119.535173 \nL 225.163025 123.51006 \nL 221.683594 127.348802 \nL 218.57419 131.056599 \nL 215.80907 134.639726 \nL 213.360977 138.104853 \nL 211.202154 141.458561 \nL 209.305119 144.70705 \nL 207.643242 147.856045 \nL 206.191154 150.910734 \nL 204.925018 153.875745 \nL 202.863815 159.55285 \nL 201.303779 164.915484 \nL 200.116657 169.986397 \nL 199.19917 174.784515 \nL 198.153893 181.505247 \nL 195.468285 200.291402 \nL 194.450303 204.97016 \nL 193.623862 207.86489 \nL 192.639675 210.582861 \nL 191.457808 213.122668 \nL 190.030789 215.478027 \nL 188.301421 217.635642 \nL 187.302224 218.63348 \nL 186.200328 219.57206 \nL 184.984707 220.446092 \nL 183.643217 221.248947 \nL 182.162503 221.972371 \nL 180.527903 222.606142 \nL 178.723358 223.137664 \nL 176.731343 223.551471 \nL 174.532816 223.828644 \nL 172.1072 223.946128 \nL 169.432415 223.875933 \nL 166.484998 223.584229 \nL 163.240323 223.030337 \nL 159.672966 222.165632 \nL 155.757276 220.932429 \nL 151.468224 219.262925 \nL 146.782572 217.078362 \nL 141.68053 214.288621 \nL 136.147919 210.792597 \nL 130.17903 206.479819 \nL 123.780208 201.233898 \nL 116.974195 194.938518 \nL 109.805257 187.486766 \nL 102.344772 178.79443 \nL 94.696877 168.817491 \nL 87.003382 157.573315 \nL 79.44685 145.163572 \nL 72.250322 131.79533 \nL 65.672181 117.794749 \nL 59.994768 103.606854 \nL 55.506214 89.775299 \nL 52.476432 76.899247 \nL 51.129735 65.570333 \nL 51.618393 56.29975 \nL 54.002311 49.450962 \nL 58.238962 45.194265 \nL 64.186353 43.494384 \nL 71.618229 44.132695 \nL 80.24848 46.756247 \nL 89.759748 50.939129 \nL 99.831319 56.241846 \nL 110.162301 62.258026 \nL 120.488039 68.643624 \nL 130.589417 75.129442 \nL 149.48381 87.687588 \nL 166.014452 99.083792 \nL 179.921658 109.114847 \nL 185.916295 113.645131 \nL 191.314966 117.883121 \nL 196.16111 121.854869 \nL 200.502893 125.585503 \nL 204.390715 129.097887 \nL 207.875366 132.411988 \nL 213.832616 138.509633 \nL 218.747333 143.977419 \nL 228.511753 155.182713 \nL 232.056965 158.685119 \nL 233.850191 160.211643 \nL 235.683309 161.579062 \nL 237.573645 162.778541 \nL 239.536836 163.79975 \nL 241.586895 164.630803 \nL 243.736226 165.25825 \nL 245.995588 165.667065 \nL 248.374008 165.840738 \nL 250.878605 165.761323 \nL 253.514368 165.409696 \nL 256.283841 164.765822 \nL 259.186749 163.809261 \nL 262.219537 162.519759 \nL 265.374856 160.878153 \nL 268.641001 158.867443 \nL 272.00132 156.47416 \nL 275.43364 153.689976 \nL 278.909731 150.513556 \nL 282.394949 146.952569 \nL 285.848006 143.025741 \nL 289.2211 138.764752 \nL 292.460363 134.2158 \nL 295.506828 129.440491 \nL 298.297863 124.515834 \nL 300.769163 119.533045 \nL 302.857261 114.594938 \nL 304.502439 109.811988 \nL 305.65184 105.29712 \nL 306.262606 101.159674 \nL 306.304662 97.49903 \nL 305.762968 94.398724 \nL 304.638884 91.921562 \nL 302.950565 90.106484 \nL 300.732244 88.96736 \nL 298.032514 88.493944 \nL 294.911807 88.654624 \nL 291.439235 89.400482 \nL 287.689227 90.670161 \nL 283.738111 92.394902 \nL 279.66106 94.503198 \nL 275.52942 96.92467 \nL 271.408686 99.593094 \nL 267.357057 102.448432 \nL 263.424599 105.43793 \nL 259.652939 108.516486 \nL 256.075387 111.646488 \nL 252.717403 114.797219 \nL 249.597278 117.944058 \nL 246.726989 121.067602 \nL 244.113087 124.15274 \nL 241.757625 127.187836 \nL 239.659029 130.16396 \nL 237.812938 133.074224 \nL 236.212927 135.913278 \nL 234.851168 138.676828 \nL 233.719001 141.361288 \nL 232.80739 143.96351 \nL 232.107321 146.480527 \nL 231.610117 148.909382 \nL 231.307682 151.246965 \nL 231.192688 153.48988 \nL 231.258714 155.634341 \nL 231.500332 157.676034 \nL 231.91317 159.610038 \nL 232.493924 161.430688 \nL 233.24036 163.131466 \nL 234.151265 164.704895 \nL 235.226412 166.142408 \nL 236.466463 167.43419 \nL 237.872863 168.569078 \nL 239.447707 169.534416 \nL 241.193569 170.315903 \nL 243.113308 170.897513 \nL 245.209808 171.261399 \nL 247.485688 171.387842 \nL 249.942942 171.255294 \nL 252.582511 170.840497 \nL 255.40379 170.118736 \nL 258.404048 169.064282 \nL 261.577763 167.651018 \nL 264.915884 165.853349 \nL 268.405022 163.647436 \nL 272.026588 161.0128 \nL 275.755924 157.934243 \nL 279.561509 154.404202 \nL 283.404248 150.425327 \nL 287.236994 146.013293 \nL 291.004439 141.199512 \nL 294.643457 136.033492 \nL 298.084029 130.584471 \nL 301.250878 124.941868 \nL 304.065838 119.214118 \nL 306.450978 113.52567 \nL 308.332305 108.011934 \nL 309.643864 102.812432 \nL 310.331857 98.062611 \nL 310.358411 93.885186 \nL 309.704578 90.382036 \nL 308.372161 87.627624 \nL 306.384179 85.664916 \nL 303.78379 84.504176 \nL 300.631917 84.124741 \nL 297.003708 84.479259 \nL 292.984321 85.499734 \nL 288.66443 87.104414 \nL 284.135835 89.204583 \nL 279.487583 91.710591 \nL 274.802801 94.5367 \nL 270.156353 97.604573 \nL 265.613315 100.845221 \nL 261.228268 104.19994 \nL 257.045199 107.62027 \nL 253.097942 111.067253 \nL 249.410977 114.510373 \nL 246.000471 117.926315 \nL 242.875411 121.29767 \nL 240.038804 124.611733 \nL 237.488829 127.85944 \nL 235.219907 131.034458 \nL 233.223672 134.132456 \nL 231.489826 137.150476 \nL 230.00686 140.086506 \nL 228.76268 142.939096 \nL 227.745109 145.707101 \nL 226.942281 148.389463 \nL 226.342973 150.985064 \nL 225.936836 153.49259 \nL 225.714581 155.910427 \nL 225.668097 158.236601 \nL 225.790538 160.468651 \nL 226.07637 162.603571 \nL 226.521379 164.637719 \nL 227.12268 166.566706 \nL 227.878679 168.385295 \nL 228.789043 170.087285 \nL 229.854628 171.66535 \nL 231.077425 173.110923 \nL 232.460458 174.414009 \nL 234.007684 175.563007 \nL 235.723852 176.544523 \nL 237.614359 177.343171 \nL 239.685033 177.941399 \nL 241.941904 178.319297 \nL 244.390892 178.45445 \nL 247.037444 178.321863 \nL 249.886079 177.893988 \nL 252.939846 177.140814 \nL 256.19966 176.03025 \nL 259.663522 174.528681 \nL 263.325635 172.601869 \nL 267.175368 170.216294 \nL 271.19613 167.340934 \nL 275.364188 163.949651 \nL 279.647443 160.024101 \nL 284.004333 155.557235 \nL 288.382932 150.557189 \nL 292.720388 145.051351 \nL 296.942986 139.090204 \nL 300.966944 132.750356 \nL 304.700165 126.136149 \nL 308.045078 119.379062 \nL 310.902588 112.634405 \nL 313.177012 106.074868 \nL 314.781736 99.881181 \nL 315.645018 94.230432 \nL 315.715466 89.283435 \nL 314.966427 85.172651 \nL 313.398735 81.992539 \nL 311.04138 79.793562 \nL 307.950035 78.580909 \nL 304.203529 78.317605 \nL 299.898768 78.931516 \nL 295.144696 80.324767 \nL 290.056 82.383936 \nL 284.747151 84.989935 \nL 279.327335 88.026233 \nL 273.896459 91.384977 \nL 268.54243 94.970948 \nL 263.339604 98.703461 \nL 258.348318 102.516638 \nL 253.615217 106.358576 \nL 249.174189 110.189715 \nL 245.047715 113.981 \nL 241.248409 117.711862 \nL 237.780631 121.368423 \nL 234.642079 124.941859 \nL 231.82525 128.427028 \nL 229.318772 131.821411 \nL 227.108559 135.124246 \nL 225.178802 138.335904 \nL 223.512775 141.457406 \nL 222.093513 144.490108 \nL 220.904327 147.435458 \nL 219.929225 150.294859 \nL 219.153205 153.069551 \nL 218.56248 155.760536 \nL 218.144632 158.368548 \nL 217.888703 160.893988 \nL 217.785253 163.336933 \nL 217.826377 165.697057 \nL 218.005699 167.973627 \nL 218.31836 170.16543 \nL 218.760972 172.270741 \nL 219.331593 174.287232 \nL 220.029671 176.211897 \nL 220.85601 178.040951 \nL 221.812718 179.769698 \nL 222.903161 181.392412 \nL 224.131915 182.902161 \nL 225.504715 184.290619 \nL 227.028393 185.547854 \nL 228.710806 186.662085 \nL 230.560746 187.619415 \nL 232.587829 188.40353 \nL 234.802336 188.995395 \nL 237.215016 189.372917 \nL 239.836827 189.510631 \nL 242.678584 189.379399 \nL 245.750535 188.946182 \nL 249.06177 188.173919 \nL 252.619515 187.021583 \nL 256.428239 185.444524 \nL 260.48857 183.395161 \nL 264.795989 180.824228 \nL 269.339302 177.682655 \nL 274.098941 173.92431 \nL 279.045092 169.509671 \nL 284.135802 164.410598 \nL 289.315165 158.616016 \nL 294.511874 152.138459 \nL 299.638387 145.020854 \nL 304.591107 137.342807 \nL 309.2519 129.225237 \nL 313.491295 120.832077 \nL 317.173607 112.367601 \nL 320.163897 104.068498 \nL 322.336415 96.190317 \nL 323.58387 88.989109 \nL 323.826394 82.700411 \nL 323.019117 77.51848 \nL 321.157111 73.579251 \nL 318.276906 70.949976 \nL 314.45433 69.627106 \nL 309.798885 69.542473 \nL 304.445512 70.576131 \nL 298.544951 72.573009 \nL 292.253859 75.360465 \nL 285.72585 78.764082 \nL 279.104147 82.620033 \nL 272.516289 86.783378 \nL 266.07088 91.132377 \nL 259.856239 95.569519 \nL 253.940536 100.020226 \nL 248.373045 104.430123 \nL 243.186113 108.761684 \nL 238.397501 112.990707 \nL 234.012842 117.103113 \nL 230.028044 121.092175 \nL 226.431505 124.956244 \nL 223.206082 128.697008 \nL 220.330772 132.318188 \nL 217.782128 135.824601 \nL 215.535404 139.221512 \nL 213.56547 142.514226 \nL 211.847508 145.707845 \nL 210.357537 148.80714 \nL 209.072788 151.816461 \nL 207.97196 154.739756 \nL 207.03537 157.580584 \nL 205.584697 163.027364 \nL 204.59736 168.178922 \nL 203.97599 173.053659 \nL 203.646675 177.667192 \nL 203.555859 182.033051 \nL 203.667304 186.163047 \nL 203.959441 190.067424 \nL 204.423264 193.754774 \nL 205.06083 197.231805 \nL 205.884369 200.50286 \nL 206.915974 203.569182 \nL 208.187864 206.427792 \nL 209.743159 209.069797 \nL 211.637178 211.477914 \nL 212.732251 212.585692 \nL 213.939176 213.622784 \nL 215.269136 214.582756 \nL 216.734464 215.457627 \nL 218.348709 216.237545 \nL 220.126705 216.910423 \nL 222.084625 217.461483 \nL 224.240007 217.872746 \nL 226.611752 218.122413 \nL 229.220071 218.184165 \nL 232.086356 218.026376 \nL 235.232961 217.611241 \nL 238.682842 216.893839 \nL 242.459013 215.821213 \nL 246.58376 214.331505 \nL 251.077564 212.353296 \nL 255.957624 209.805376 \nL 261.235898 206.597176 \nL 266.916605 202.630283 \nL 272.993086 197.80151 \nL 279.444013 192.008125 \nL 286.229006 185.155808 \nL 293.283838 177.169899 \nL 300.515586 168.010067 \nL 307.798419 157.688063 \nL 314.970869 146.286937 \nL 321.835807 133.979073 \nL 328.164385 121.03866 \nL 333.70507 107.843413 \nL 338.198349 94.860578 \nL 341.396567 82.614233 \nL 343.087046 71.635488 \nL 343.115283 62.402203 \nL 341.404091 55.279905 \nL 337.964878 50.477256 \nL 332.898513 48.026365 \nL 326.385447 47.792061 \nL 318.667081 49.505889 \nL 310.022008 52.814896 \nL 300.741306 57.333312 \nL 291.106643 62.686951 \nL 281.373433 68.544511 \nL 271.759985 74.63462 \nL 262.442404 80.750467 \nL 253.554094 86.745813 \nL 237.404137 98.036817 \nL 230.229778 103.254311 \nL 223.67074 108.174932 \nL 217.714079 112.808316 \nL 212.333438 117.171528 \nL 207.493096 121.285069 \nL 203.151271 125.170182 \nL 199.262739 128.847157 \nL 195.780837 132.334386 \nL 192.65896 135.647886 \nL 187.31529 141.805333 \nL 182.893089 147.399189 \nL 174.017062 159.154719 \nL 170.744088 162.96906 \nL 169.07556 164.672976 \nL 167.360425 166.233003 \nL 165.581506 167.64102 \nL 163.722864 168.887357 \nL 161.769701 169.96066 \nL 159.708335 170.847795 \nL 157.52618 171.533726 \nL 155.211816 172.001438 \nL 152.755117 172.231888 \nL 150.147433 172.203985 \nL 147.381897 171.894712 \nL 147.381897 171.894712 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p5fa4cf41e2\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.87725pt\" version=\"1.1\" viewBox=\"0 0 292.704431 286.87725\" width=\"292.704431pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:38:12.685850</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.87725 \nL 292.704431 286.87725 \nL 292.704431 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 31.058382 208.926988 \nL 118.739291 135.072318 \nL 117.668233 28.744312 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 63.871511 219.643756 \nL 149.793526 144.098558 \nL 150.049805 36.952096 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.473063 230.618022 \nL 181.531533 153.323543 \nL 183.175483 45.34849 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 131.891799 241.859182 \nL 213.976147 162.753912 \nL 217.071216 53.94007 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.157897 253.377089 \nL 247.151233 172.3966 \nL 251.764169 62.733723 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 31.821784 208.283965 \nL 29.528308 210.215787 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(12.971799 232.199617)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 64.620319 218.985381 \nL 62.370649 220.963358 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(45.818343 243.143389)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 98.206352 229.943739 \nL 96.003269 231.969545 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(86.828206 254.351114)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 132.608588 241.168407 \nL 130.455039 243.243798 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(118.106961 265.832458)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 167.857148 252.66921 \nL 165.756254 254.796029 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(153.418647 277.597563)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 36.104265 84.610674 \nL 40.837517 196.34427 \nL 189.060192 243.910769 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 52.15454 72.897914 \nL 56.124734 183.530222 \nL 202.905948 229.701617 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 67.728973 61.532403 \nL 70.978075 171.079857 \nL 216.338369 215.91665 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 82.848416 50.498922 \nL 85.415755 158.977908 \nL 229.375691 202.53715 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.532519 39.783132 \nL 99.454979 147.209952 \nL 242.035093 189.545489 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 111.799819 29.371506 \nL 113.112018 135.76235 \nL 254.332773 176.925044 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 187.811582 243.510075 \nL 191.560618 244.713187 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(191.297449 264.829283)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 201.670423 229.312971 \nL 205.380122 230.479892 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(204.957401 250.409862)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 215.11571 215.539517 \nL 218.786732 216.671854 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(225.580422 236.42115)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 228.16568 202.171027 \nL 231.79868 203.270296 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(235.261088 222.844134)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 240.837517 189.1899 \nL 244.43314 190.257528 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(247.749961 209.660902)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 253.147421 176.57954 \nL 256.706304 177.616875 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(259.881787 196.854566)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.248597 151.827113 \nL 114.913885 111.574818 \nL 26.149294 183.941474 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.231116 130.371409 \nL 114.675184 90.816784 \nL 25.090386 161.952558 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.23081 108.540651 \nL 114.432512 69.71345 \nL 24.012252 139.564405 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.248132 86.324919 \nL 114.18577 48.25613 \nL 22.914364 116.766043 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.053488 151.489136 \nL 259.641684 152.503878 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.303552 156.866197)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.02526 130.039154 \nL 260.645747 131.036723 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.442162 135.453881)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.014012 108.214371 \nL 261.667376 109.194009 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.600614 113.668423)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.020194 86.004877 \nL 262.707037 86.965793 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.779431 91.499983)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#pc4f50c0e8e)\" d=\"M 142.612252 191.042413 \nL 142.888837 190.237261 \nL 143.463443 189.597415 \nL 144.332709 189.025964 \nL 146.25285 188.134985 \nL 158.967256 182.892401 \nL 164.062408 180.482514 \nL 170.379682 177.188073 \nL 174.058704 175.107685 \nL 178.112903 172.672846 \nL 182.556372 169.827455 \nL 187.393341 166.511379 \nL 192.613385 162.663127 \nL 198.185387 158.224409 \nL 204.050254 153.147236 \nL 210.112722 147.404112 \nL 216.23302 141.001661 \nL 222.219883 133.997245 \nL 227.827191 126.516985 \nL 232.757386 118.771608 \nL 236.675183 111.064471 \nL 239.234388 103.784365 \nL 240.11827 97.376159 \nL 239.089329 92.286412 \nL 236.038801 88.889701 \nL 231.021673 87.412207 \nL 224.263658 87.876803 \nL 216.13347 90.091269 \nL 207.086087 93.687216 \nL 197.593233 98.197311 \nL 188.080968 103.144241 \nL 162.317495 117.007467 \nL 155.141646 120.648717 \nL 148.731371 123.710323 \nL 143.054451 126.229772 \nL 138.057275 128.271898 \nL 133.676103 129.912016 \nL 126.497213 132.278997 \nL 118.779224 134.423661 \nL 109.827074 136.815 \nL 103.148985 138.723146 \nL 101.054679 138.980176 \nL 99.696536 138.953507 \nL 98.371756 138.748764 \nL 97.097867 138.356199 \nL 95.90289 137.774417 \nL 94.822452 137.012078 \nL 93.896397 136.089251 \nL 93.164827 135.038033 \nL 92.663768 133.902087 \nL 92.420785 132.734743 \nL 92.451104 131.595576 \nL 92.75487 130.545729 \nL 93.316049 129.64257 \nL 94.103213 128.93446 \nL 95.0721 128.456616 \nL 96.169501 128.228634 \nL 97.337789 128.254006 \nL 98.519343 128.521436 \nL 99.660291 129.007542 \nL 100.713235 129.680192 \nL 101.638827 130.501912 \nL 102.406344 131.432889 \nL 102.99346 132.433283 \nL 103.385557 133.464781 \nL 103.574797 134.491494 \nL 103.559201 135.480269 \nL 103.341886 136.400683 \nL 102.930555 137.224803 \nL 102.337286 137.926957 \nL 101.5786 138.483583 \nL 100.675768 138.873326 \nL 99.655245 139.077462 \nL 98.549117 139.080711 \nL 97.395333 138.872528 \nL 96.237535 138.448736 \nL 95.124252 137.813449 \nL 94.10723 136.981039 \nL 93.238792 135.97767 \nL 92.568289 134.842024 \nL 92.137917 133.624672 \nL 91.978421 132.38581 \nL 92.105348 131.191246 \nL 92.516645 130.107042 \nL 93.192108 129.193561 \nL 94.094917 128.499928 \nL 95.175038 128.059851 \nL 96.373905 127.889532 \nL 97.629519 127.987758 \nL 98.881227 128.337979 \nL 100.073545 128.911614 \nL 101.158735 129.67191 \nL 102.098112 130.577625 \nL 102.862306 131.586119 \nL 103.430735 132.655592 \nL 103.790662 133.746486 \nL 103.936104 134.822178 \nL 103.866809 135.849112 \nL 103.587478 136.796606 \nL 103.107284 137.63649 \nL 102.43975 138.342795 \nL 101.602922 138.891563 \nL 100.619801 139.260966 \nL 99.518922 139.431822 \nL 98.33489 139.388541 \nL 97.108671 139.120608 \nL 95.887407 138.624491 \nL 94.723463 137.905828 \nL 93.672467 136.981613 \nL 92.790288 135.881885 \nL 92.128954 134.650393 \nL 91.731956 133.343672 \nL 91.629492 132.028203 \nL 91.834553 130.775627 \nL 92.340583 129.656575 \nL 93.121384 128.734029 \nL 94.133347 128.057383 \nL 95.319653 127.65832 \nL 96.6157 127.549122 \nL 97.95475 127.723467 \nL 99.272965 128.159234 \nL 100.513235 128.822516 \nL 101.627537 129.671935 \nL 102.577922 130.662577 \nL 103.336418 131.749122 \nL 103.884192 132.887981 \nL 104.210348 134.0385 \nL 104.310676 135.163447 \nL 104.186543 136.228938 \nL 103.844106 137.204053 \nL 103.293878 138.060374 \nL 102.550695 138.771567 \nL 101.634027 139.313173 \nL 100.568547 139.662756 \nL 99.384853 139.800503 \nL 98.120118 139.710336 \nL 96.81846 139.38162 \nL 95.530729 138.811342 \nL 94.31339 138.006621 \nL 93.226288 136.987169 \nL 92.329132 135.787117 \nL 91.676863 134.455628 \nL 91.31437 133.055649 \nL 91.27125 131.660386 \nL 91.557684 130.347703 \nL 92.162242 129.193005 \nL 93.052297 128.261882 \nL 94.177038 127.603785 \nL 95.472565 127.24802 \nL 96.868095 127.202547 \nL 98.292145 127.45556 \nL 99.677807 127.979126 \nL 100.966519 128.733891 \nL 102.11016 129.673842 \nL 103.071687 130.75048 \nL 103.824646 131.915941 \nL 104.352004 133.124976 \nL 104.644709 134.335984 \nL 104.700274 135.511214 \nL 104.521599 136.616508 \nL 104.116176 137.620741 \nL 103.495733 138.495207 \nL 102.676294 139.213139 \nL 101.678633 139.749455 \nL 100.529004 140.080963 \nL 99.260027 140.187004 \nL 97.911478 140.050803 \nL 96.530743 139.661362 \nL 95.172591 139.016013 \nL 93.89789 138.123251 \nL 92.771058 137.005494 \nL 91.856032 135.701137 \nL 91.21101 134.265089 \nL 90.882482 132.767143 \nL 90.899491 131.287751 \nL 91.269264 129.911442 \nL 91.975192 128.718709 \nL 92.977823 127.777835 \nL 94.218764 127.138226 \nL 95.626717 126.826532 \nL 97.124532 126.846049 \nL 98.635937 127.179195 \nL 100.091014 127.791992 \nL 101.429859 128.639522 \nL 102.604393 129.671139 \nL 103.578582 130.834821 \nL 104.327559 132.080263 \nL 104.836122 133.360694 \nL 105.097029 134.633645 \nL 105.109443 135.860943 \nL 104.877685 137.008205 \nL 104.410454 138.044097 \nL 103.720529 138.939603 \nL 102.82496 139.667427 \nL 101.745666 140.201754 \nL 100.510355 140.518422 \nL 99.153578 140.595716 \nL 97.7177 140.41586 \nL 96.253446 139.967219 \nL 94.819688 139.247168 \nL 93.482025 138.265337 \nL 92.309869 137.046773 \nL 91.371865 135.634189 \nL 90.729929 134.088506 \nL 90.432542 132.486821 \nL 90.508397 130.917383 \nL 90.961763 129.471959 \nL 91.770658 128.236585 \nL 92.888479 127.282504 \nL 94.248861 126.659105 \nL 95.772778 126.390242 \nL 97.376468 126.474327 \nL 98.978736 126.887721 \nL 100.506614 127.590217 \nL 101.898897 128.531208 \nL 103.10759 129.655383 \nL 104.097721 130.907232 \nL 104.846031 132.234076 \nL 105.339125 133.587694 \nL 105.571526 134.924838 \nL 105.543949 136.206959 \nL 105.26201 137.399472 \nL 104.735455 138.470855 \nL 103.977936 139.391728 \nL 103.007321 140.134209 \nL 101.846473 140.671586 \nL 100.524352 140.978534 \nL 99.077282 141.032009 \nL 97.550117 140.812896 \nL 95.996943 140.308498 \nL 94.480896 139.515824 \nL 93.072614 138.445265 \nL 91.846981 137.124209 \nL 90.877963 135.599625 \nL 90.231854 133.938621 \nL 89.959725 132.226023 \nL 90.090368 130.558534 \nL 90.625307 129.035878 \nL 91.036917 128.358269 \nL 91.53714 127.750296 \nL 92.118413 127.220671 \nL 93.487552 126.423132 \nL 95.062295 126.001183 \nL 96.752623 125.961709 \nL 98.469106 126.285759 \nL 100.129893 126.934196 \nL 101.665313 127.854637 \nL 103.020079 128.988141 \nL 104.153409 130.274688 \nL 105.037751 131.656966 \nL 105.656728 133.08254 \nL 106.002887 134.50462 \nL 106.075622 135.881869 \nL 105.879538 137.177603 \nL 105.423381 138.358721 \nL 104.719594 139.394596 \nL 103.784468 140.256152 \nL 102.638846 140.915259 \nL 101.309275 141.344639 \nL 99.82945 141.51842 \nL 98.241709 141.41352 \nL 96.598244 141.011967 \nL 94.961568 140.304143 \nL 93.403727 139.292803 \nL 92.00374 137.997375 \nL 90.842926 136.457675 \nL 89.998131 134.735924 \nL 89.533488 132.915839 \nL 89.491997 131.097899 \nL 89.635832 130.223674 \nL 89.888613 129.390775 \nL 90.247227 128.612209 \nL 90.706581 127.900011 \nL 91.25975 127.264927 \nL 91.898163 126.716095 \nL 92.611865 126.260843 \nL 93.389806 125.904522 \nL 95.090657 125.499952 \nL 96.902548 125.505444 \nL 98.729444 125.896229 \nL 100.484893 126.626557 \nL 102.096657 127.637612 \nL 103.508604 128.864933 \nL 104.680404 130.2442 \nL 105.585751 131.715081 \nL 106.209893 133.223216 \nL 106.547037 134.720746 \nL 106.598065 136.165821 \nL 106.368756 137.521546 \nL 105.868704 138.75467 \nL 105.110889 139.834302 \nL 104.11193 140.730825 \nL 102.892945 141.415192 \nL 101.480909 141.858768 \nL 99.910334 142.033888 \nL 98.225057 141.915325 \nL 96.47972 141.482821 \nL 94.740484 140.724699 \nL 93.084345 139.642404 \nL 91.596459 138.25542 \nL 90.365018 136.605689 \nL 89.473732 134.760065 \nL 88.992535 132.809485 \nL 88.921425 131.828646 \nL 88.968016 130.863728 \nL 89.133196 129.929797 \nL 89.415614 129.041689 \nL 89.811661 128.213558 \nL 90.315555 127.45846 \nL 90.919501 126.787959 \nL 91.613909 126.211804 \nL 92.387715 125.737679 \nL 93.228696 125.371052 \nL 94.123847 125.115128 \nL 95.059742 124.970878 \nL 97.000027 125.010972 \nL 98.946194 125.460873 \nL 100.806522 126.268051 \nL 102.505654 127.367007 \nL 103.986208 128.687433 \nL 105.208008 130.160427 \nL 106.145801 131.722401 \nL 106.786325 133.316905 \nL 107.125352 134.894894 \nL 107.165146 136.413967 \nL 106.912557 137.837004 \nL 106.377857 139.13064 \nL 105.574342 140.263742 \nL 104.518664 141.206181 \nL 103.231828 141.927968 \nL 101.740754 142.399002 \nL 100.08023 142.589566 \nL 98.295017 142.47186 \nL 96.44169 142.022668 \nL 94.589675 141.227333 \nL 92.820814 140.084828 \nL 91.226692 138.613452 \nL 89.903192 136.856018 \nL 88.9422 134.883104 \nL 88.622721 133.845456 \nL 88.421178 132.792517 \nL 88.343198 131.739845 \nL 88.392224 130.703716 \nL 88.569318 129.700661 \nL 88.873049 128.746975 \nL 89.299475 127.858217 \nL 89.842234 127.048706 \nL 90.492719 126.331094 \nL 91.240357 125.715982 \nL 92.072948 125.211651 \nL 92.977043 124.823891 \nL 93.938375 124.555957 \nL 94.942258 124.408621 \nL 95.973992 124.380323 \nL 98.064213 124.664433 \nL 100.103289 125.359402 \nL 102.002146 126.397985 \nL 103.69146 127.704584 \nL 105.121603 129.203222 \nL 106.260476 130.822932 \nL 107.090274 132.500567 \nL 107.604016 134.181554 \nL 107.802411 135.819319 \nL 107.691364 137.373865 \nL 107.280303 138.810004 \nL 106.581337 140.095564 \nL 105.609254 141.199786 \nL 104.382273 142.092037 \nL 102.923501 142.741087 \nL 101.262941 143.115058 \nL 99.439896 143.182327 \nL 97.505382 142.913602 \nL 95.524114 142.285435 \nL 93.575351 141.285195 \nL 91.751761 139.91721 \nL 90.155466 138.20935 \nL 89.475326 137.244521 \nL 88.890751 136.21854 \nL 88.41339 135.143482 \nL 88.053602 134.033278 \nL 87.820045 132.90352 \nL 87.719313 131.771109 \nL 87.755602 130.653841 \nL 87.930484 129.569899 \nL 88.242754 128.537302 \nL 88.688396 127.573312 \nL 89.260674 126.693874 \nL 89.950326 125.913095 \nL 90.745867 125.242809 \nL 91.633978 124.692246 \nL 92.599948 124.267851 \nL 93.628143 123.973209 \nL 94.702484 123.809119 \nL 95.806897 123.773773 \nL 96.925717 123.863028 \nL 98.044032 124.070742 \nL 100.224811 124.809294 \nL 102.253546 125.914819 \nL 104.056772 127.304297 \nL 105.582878 128.895268 \nL 106.799419 130.611656 \nL 107.689293 132.386677 \nL 108.246741 134.163444 \nL 108.473793 135.894092 \nL 108.377475 137.538053 \nL 107.967927 139.059991 \nL 107.257466 140.427726 \nL 106.260533 141.610378 \nL 104.994509 142.576866 \nL 103.481276 143.294932 \nL 101.74945 143.730893 \nL 99.837091 143.850342 \nL 97.794577 143.620132 \nL 95.687165 143.011932 \nL 93.596463 142.007466 \nL 91.619908 140.605368 \nL 90.708407 139.761284 \nL 89.867181 138.828798 \nL 89.110638 137.815788 \nL 88.452809 136.732381 \nL 87.906916 135.590982 \nL 87.484908 134.406171 \nL 87.196999 133.19451 \nL 87.051223 131.974198 \nL 87.053043 130.764623 \nL 87.205036 129.585804 \nL 87.506701 128.457767 \nL 87.954381 127.399876 \nL 88.541321 126.430157 \nL 89.257881 125.564694 \nL 90.091849 124.817091 \nL 91.028874 124.19807 \nL 92.05297 123.715228 \nL 93.147054 123.37294 \nL 94.293486 123.17241 \nL 95.474608 123.111881 \nL 96.673193 123.186934 \nL 97.872852 123.390884 \nL 99.058349 123.715206 \nL 101.332975 124.68441 \nL 103.404936 126.006318 \nL 105.207273 127.589206 \nL 106.696125 129.346285 \nL 107.846722 131.200503 \nL 108.648735 133.086263 \nL 109.101861 134.948978 \nL 109.212156 136.743411 \nL 108.989354 138.431385 \nL 108.445227 139.979375 \nL 107.592955 141.35621 \nL 106.447451 142.531094 \nL 105.026572 143.472072 \nL 103.353152 144.145078 \nL 101.457712 144.51382 \nL 99.381691 144.540798 \nL 97.180796 144.189779 \nL 94.927899 143.430157 \nL 92.714563 142.243354 \nL 91.656272 141.489223 \nL 90.650005 140.630966 \nL 89.711397 139.673405 \nL 88.856333 138.623703 \nL 88.100553 137.491519 \nL 87.459182 136.289107 \nL 86.946206 135.031271 \nL 86.573936 133.735218 \nL 86.352483 132.420229 \nL 86.289262 131.107229 \nL 86.388589 129.818178 \nL 86.651383 128.575379 \nL 87.075022 127.40073 \nL 87.653344 126.31491 \nL 88.376826 125.336668 \nL 89.232903 124.482127 \nL 90.206428 123.764291 \nL 91.28023 123.192678 \nL 92.435733 122.77316 \nL 93.653587 122.507973 \nL 94.914278 122.395924 \nL 96.198688 122.432715 \nL 97.488573 122.611379 \nL 98.766948 122.922782 \nL 100.018357 123.356155 \nL 102.387132 124.540562 \nL 104.50663 126.064042 \nL 106.316293 127.827328 \nL 107.77957 129.740212 \nL 108.878737 131.725204 \nL 109.609519 133.718118 \nL 109.976351 135.666702 \nL 109.988641 137.528232 \nL 109.658208 139.266767 \nL 108.997866 140.85042 \nL 108.021069 142.248857 \nL 106.742583 143.4312 \nL 105.180069 144.364416 \nL 103.356549 145.012337 \nL 101.303637 145.335616 \nL 99.06532 145.292953 \nL 96.701881 144.844027 \nL 94.293273 143.954661 \nL 93.102876 143.337614 \nL 91.940844 142.604342 \nL 90.822972 141.756012 \nL 89.765986 140.795909 \nL 88.787233 139.729763 \nL 87.904278 138.566014 \nL 87.134415 137.315997 \nL 86.49411 135.994 \nL 85.998387 134.61722 \nL 85.660198 133.205503 \nL 85.489815 131.780965 \nL 85.494291 130.36738 \nL 85.677023 128.989467 \nL 86.037472 127.67202 \nL 86.571056 126.439015 \nL 87.269239 125.31268 \nL 88.119816 124.312679 \nL 89.107371 123.455388 \nL 90.213867 122.753389 \nL 91.419345 122.215148 \nL 92.70265 121.844957 \nL 94.042163 121.643063 \nL 95.416482 121.605993 \nL 96.805018 121.727032 \nL 98.188471 121.996785 \nL 99.549206 122.40379 \nL 100.871484 122.935127 \nL 102.141613 123.576999 \nL 104.480908 125.135747 \nL 106.497558 126.969448 \nL 108.149786 128.977507 \nL 109.417614 131.07403 \nL 110.296569 133.188712 \nL 110.792054 135.265308 \nL 110.914902 137.258916 \nL 110.678216 139.132794 \nL 110.09551 140.855217 \nL 109.180035 142.396614 \nL 107.945192 143.727066 \nL 106.405954 144.814289 \nL 104.581266 145.622183 \nL 102.497339 146.110198 \nL 100.191754 146.233845 \nL 97.718036 145.946871 \nL 96.440333 145.635505 \nL 95.150132 145.205709 \nL 93.860426 144.653636 \nL 92.585771 143.97667 \nL 91.34222 143.173794 \nL 90.147179 142.246003 \nL 89.019152 141.196694 \nL 87.977387 140.032048 \nL 87.041405 138.761353 \nL 86.23043 137.397225 \nL 85.562734 135.955687 \nL 85.054912 134.456109 \nL 84.721154 132.920909 \nL 84.572522 131.375058 \nL 84.616332 129.845378 \nL 84.855669 128.359652 \nL 85.289085 126.945604 \nL 85.910512 125.629811 \nL 86.709418 124.436653 \nL 87.671198 123.387332 \nL 88.777751 122.499096 \nL 90.008221 121.784693 \nL 91.339818 121.252095 \nL 92.748709 120.904482 \nL 94.210831 120.740496 \nL 95.702668 120.754704 \nL 97.201896 120.938206 \nL 98.687885 121.27933 \nL 100.142057 121.764365 \nL 101.548113 122.378284 \nL 102.892122 123.105377 \nL 104.162493 123.929805 \nL 106.447029 125.80933 \nL 108.350672 127.902374 \nL 109.848564 130.1111 \nL 110.934625 132.356034 \nL 111.614766 134.574637 \nL 111.901407 136.718243 \nL 111.809491 138.748405 \nL 111.35397 140.63326 \nL 110.548601 142.344202 \nL 109.405954 143.852942 \nL 107.938501 145.129027 \nL 106.160747 146.137875 \nL 104.092398 146.83944 \nL 101.762507 147.18786 \nL 99.214492 147.1325 \nL 97.877522 146.937008 \nL 96.511572 146.621161 \nL 95.128477 146.17918 \nL 93.741871 145.606133 \nL 92.367205 144.898313 \nL 91.021722 144.053679 \nL 89.724309 143.07232 \nL 88.495249 141.95694 \nL 87.355843 140.713323 \nL 86.327899 139.350749 \nL 85.433085 137.882295 \nL 84.692186 136.325007 \nL 84.124248 134.699851 \nL 83.745719 133.031427 \nL 83.569593 131.34745 \nL 83.604639 129.677926 \nL 83.854819 128.054142 \nL 84.318883 126.507451 \nL 84.990273 125.067982 \nL 85.857274 123.763381 \nL 86.903477 122.617626 \nL 88.108461 121.650116 \nL 89.44868 120.87501 \nL 90.898449 120.300903 \nL 92.430976 119.930853 \nL 94.019342 119.762694 \nL 95.637399 119.789635 \nL 97.260486 120.000983 \nL 98.866014 120.383013 \nL 100.433839 120.919838 \nL 101.946493 121.594244 \nL 103.389242 122.388436 \nL 104.750034 123.28467 \nL 106.019352 124.265754 \nL 108.256819 126.41861 \nL 110.067067 128.731849 \nL 111.439556 131.111913 \nL 112.379448 133.485993 \nL 112.900661 135.798763 \nL 113.020663 138.008207 \nL 112.756955 140.081351 \nL 112.125109 141.990353 \nL 111.138132 143.709039 \nL 109.807005 145.209938 \nL 108.142337 146.461744 \nL 106.157094 147.427294 \nL 103.870467 148.062259 \nL 101.312876 148.314854 \nL 99.946497 148.279859 \nL 98.531932 148.127316 \nL 97.078885 147.84973 \nL 95.59893 147.43991 \nL 94.105665 146.891323 \nL 92.6148 146.1985 \nL 91.14418 145.357497 \nL 89.713712 144.366446 \nL 88.345164 143.226119 \nL 87.061814 141.940527 \nL 85.887946 140.517457 \nL 84.848184 138.968941 \nL 83.966665 137.311567 \nL 83.266083 135.566594 \nL 82.766668 133.759776 \nL 82.485129 131.920886 \nL 82.433684 130.082917 \nL 82.619241 128.280958 \nL 83.042812 126.550825 \nL 83.699242 124.92755 \nL 84.577282 123.443794 \nL 85.660007 122.128398 \nL 86.925561 121.005155 \nL 88.348158 120.091885 \nL 89.899245 119.399949 \nL 91.548722 118.934185 \nL 93.266152 118.693214 \nL 95.02184 118.670058 \nL 96.787743 118.853074 \nL 98.538174 119.226935 \nL 100.250281 119.773699 \nL 101.904315 120.473832 \nL 103.483726 121.307115 \nL 104.975086 122.253411 \nL 106.367908 123.293277 \nL 107.654388 124.408397 \nL 108.829093 125.581887 \nL 110.831292 128.044468 \nL 112.365805 130.57836 \nL 113.441402 133.105394 \nL 114.076202 135.567827 \nL 114.291652 137.923362 \nL 114.108456 140.140182 \nL 113.544245 142.192532 \nL 112.612678 144.056848 \nL 111.323772 145.708459 \nL 109.68536 147.118718 \nL 107.705672 148.252555 \nL 105.397095 149.066578 \nL 104.125705 149.33752 \nL 102.781255 149.507951 \nL 101.368938 149.569852 \nL 99.895386 149.51477 \nL 98.36892 149.333985 \nL 96.799794 149.018728 \nL 95.200429 148.560487 \nL 93.585597 147.951397 \nL 91.972563 147.184704 \nL 90.381128 146.255344 \nL 88.83355 145.160581 \nL 87.354338 143.900717 \nL 85.969838 142.479796 \nL 84.707639 140.906299 \nL 83.59578 139.193723 \nL 82.661742 137.360971 \nL 81.931294 135.432501 \nL 81.427235 133.438102 \nL 81.168138 131.412295 \nL 81.167166 129.393322 \nL 81.431112 127.421725 \nL 81.959752 125.538646 \nL 82.745591 123.783932 \nL 83.774037 122.194228 \nL 85.024048 120.801235 \nL 86.469105 119.630302 \nL 88.078522 118.699452 \nL 89.818895 118.018967 \nL 91.655594 117.591442 \nL 93.554176 117.41238 \nL 95.481612 117.471107 \nL 97.407278 117.751954 \nL 99.303656 118.235545 \nL 101.146786 118.900077 \nL 102.916456 119.722521 \nL 104.596186 120.679631 \nL 106.173059 121.748761 \nL 107.637425 122.908488 \nL 108.982539 124.139031 \nL 110.204163 125.422485 \nL 111.300159 126.742939 \nL 113.114869 129.441004 \nL 114.437285 132.143607 \nL 115.289706 134.786251 \nL 115.698639 137.323586 \nL 115.689694 139.723509 \nL 115.284513 141.961982 \nL 114.499306 144.018592 \nL 113.344727 145.872859 \nL 111.82687 147.500963 \nL 109.94938 148.872909 \nL 108.877018 149.451126 \nL 107.716713 149.949978 \nL 106.469906 150.362926 \nL 105.138746 150.682677 \nL 103.726327 150.901163 \nL 102.236942 151.009589 \nL 100.676359 150.998505 \nL 99.052124 150.857931 \nL 97.373864 150.577565 \nL 95.653584 150.147074 \nL 93.905939 149.556489 \nL 92.148464 148.796697 \nL 90.401712 147.86007 \nL 88.689268 146.741205 \nL 87.037613 145.437732 \nL 85.47578 143.951224 \nL 84.034776 142.288074 \nL 82.746739 140.460318 \nL 81.643843 138.486289 \nL 80.756961 136.390972 \nL 80.114172 134.205984 \nL 79.739178 131.969065 \nL 79.649792 129.723046 \nL 79.856624 127.514285 \nL 80.362129 125.390668 \nL 81.160117 123.399301 \nL 82.235821 121.58411 \nL 83.566531 119.9836 \nL 85.122734 118.628943 \nL 86.869654 117.542678 \nL 88.769038 116.738029 \nL 90.781 116.218928 \nL 92.865775 115.980647 \nL 94.985258 116.010947 \nL 97.10423 116.291549 \nL 99.191222 116.799723 \nL 101.219045 117.509918 \nL 103.165017 118.395234 \nL 105.010893 119.428652 \nL 106.742643 120.584053 \nL 108.350064 121.83693 \nL 109.826321 123.164866 \nL 111.167454 124.547793 \nL 112.371878 125.968092 \nL 113.439912 127.410534 \nL 115.174995 130.312074 \nL 116.397838 133.172171 \nL 117.141071 135.936283 \nL 117.437756 138.568269 \nL 117.316887 141.043914 \nL 116.800907 143.345599 \nL 115.904769 145.457897 \nL 114.636203 147.363908 \nL 112.997029 149.042045 \nL 112.037971 149.78689 \nL 110.985501 150.463029 \nL 109.839423 151.065144 \nL 108.599835 151.587094 \nL 107.267333 152.021852 \nL 105.843229 152.361455 \nL 104.329817 152.596981 \nL 102.730669 152.718544 \nL 101.05096 152.715354 \nL 99.297824 152.575843 \nL 97.480729 152.287845 \nL 95.611858 151.838914 \nL 93.706466 151.21673 \nL 91.783206 150.409679 \nL 89.864358 149.407539 \nL 87.975922 148.202381 \nL 86.147539 146.789551 \nL 84.41216 145.168804 \nL 82.805417 143.345441 \nL 81.36468 141.331405 \nL 80.12774 139.146199 \nL 79.131206 136.817446 \nL 78.408637 134.380999 \nL 77.988556 131.880417 \nL 77.892511 129.365744 \nL 78.133388 126.891587 \nL 78.714169 124.51459 \nL 79.627315 122.290501 \nL 80.854869 120.271093 \nL 82.369297 118.501316 \nL 84.134999 117.016917 \nL 86.110316 115.842837 \nL 88.249807 114.992495 \nL 90.506599 114.467981 \nL 92.834534 114.261041 \nL 95.190005 114.35466 \nL 97.533362 114.725038 \nL 99.829843 115.343676 \nL 102.05007 116.179378 \nL 104.170156 117.200025 \nL 106.171516 118.374036 \nL 108.04046 119.671477 \nL 109.767653 121.064801 \nL 111.3475 122.529298 \nL 112.777521 124.043283 \nL 114.057744 125.588091 \nL 115.190143 127.147939 \nL 116.178133 128.709683 \nL 117.739203 131.797852 \nL 118.78208 134.789409 \nL 119.349357 137.644993 \nL 119.479226 140.341008 \nL 119.202109 142.863182 \nL 118.539103 145.201476 \nL 117.501728 147.346061 \nL 116.092664 149.283895 \nL 114.307375 150.995608 \nL 113.270864 151.758132 \nL 112.13667 152.452433 \nL 110.903535 153.072933 \nL 109.570462 153.613068 \nL 108.136932 154.065199 \nL 106.60316 154.420539 \nL 104.970389 154.66908 \nL 103.241227 154.799584 \nL 101.420035 154.799584 \nL 99.513364 154.655494 \nL 97.530406 154.352787 \nL 95.483493 153.876294 \nL 93.388579 153.210658 \nL 91.265677 152.34097 \nL 89.139234 151.253595 \nL 87.038336 149.937225 \nL 84.996714 148.384124 \nL 83.052434 146.591561 \nL 81.247232 144.563323 \nL 79.625397 142.311194 \nL 78.232193 139.856261 \nL 77.111833 137.229795 \nL 76.305099 134.473527 \nL 75.846748 131.639102 \nL 75.76298 128.786562 \nL 76.069212 125.981885 \nL 76.768452 123.293659 \nL 77.850538 120.789192 \nL 79.292352 118.530466 \nL 81.059049 116.570388 \nL 83.106159 114.949824 \nL 85.382324 113.695636 \nL 87.83232 112.820077 \nL 90.40007 112.321314 \nL 93.031342 112.185051 \nL 95.675924 112.386842 \nL 98.289182 112.894805 \nL 100.832989 113.672348 \nL 103.276088 114.680727 \nL 105.594 115.881175 \nL 107.768579 117.236548 \nL 109.787358 118.712494 \nL 111.642776 120.278171 \nL 113.331362 121.906581 \nL 114.852945 123.574609 \nL 116.209916 125.262872 \nL 117.406575 126.955423 \nL 118.448557 128.63937 \nL 119.342351 130.304501 \nL 120.713272 133.548411 \nL 121.574946 136.644323 \nL 121.978134 139.569704 \nL 121.964458 142.314354 \nL 121.56431 144.874441 \nL 120.796222 147.248071 \nL 119.667216 149.431837 \nL 118.173833 151.417795 \nL 116.303806 153.190609 \nL 115.221884 153.989506 \nL 114.038484 154.724415 \nL 112.750856 155.389883 \nL 111.356382 155.979343 \nL 109.852787 156.484978 \nL 108.2384 156.897597 \nL 106.512459 157.206524 \nL 104.675482 157.399489 \nL 102.729701 157.462599 \nL 100.67956 157.380317 \nL 98.532272 157.135583 \nL 96.298446 156.710027 \nL 93.99273 156.084347 \nL 91.634473 155.238929 \nL 89.248327 154.154687 \nL 86.864729 152.814224 \nL 84.520183 151.203279 \nL 82.257201 149.312508 \nL 80.123827 147.139459 \nL 78.172588 144.69071 \nL 76.458804 141.983884 \nL 75.038238 139.049309 \nL 73.964125 135.931016 \nL 73.283774 132.686695 \nL 73.035016 129.386375 \nL 73.242894 126.109669 \nL 73.917062 122.941672 \nL 75.050255 119.967817 \nL 76.618131 117.268291 \nL 78.580595 114.912609 \nL 80.884439 112.955161 \nL 83.466964 111.432226 \nL 86.260113 110.36077 \nL 89.194613 109.739092 \nL 92.203656 109.548969 \nL 95.225869 109.758897 \nL 98.20734 110.327859 \nL 101.102779 111.209155 \nL 103.875855 112.353828 \nL 106.498941 113.713528 \nL 108.95239 115.242615 \nL 111.223574 116.8996 \nL 113.305794 118.647903 \nL 115.197187 120.456147 \nL 116.899685 122.298068 \nL 118.418088 124.152176 \nL 119.75925 126.001265 \nL 120.931396 127.831879 \nL 121.943553 129.633733 \nL 123.525398 133.122841 \nL 124.578054 136.431103 \nL 125.167257 139.543508 \nL 125.346907 142.458285 \nL 125.157193 145.180503 \nL 124.624179 147.717669 \nL 123.760243 150.076567 \nL 122.564955 152.260796 \nL 121.026222 154.268513 \nL 119.121707 156.090003 \nL 116.820718 157.704743 \nL 115.510319 158.424316 \nL 114.086964 159.077682 \nL 112.545944 159.657418 \nL 110.882871 160.154561 \nL 109.093961 160.558403 \nL 107.176395 160.856314 \nL 105.12877 161.033557 \nL 102.951621 161.073159 \nL 100.648071 160.95582 \nL 98.224567 160.659959 \nL 95.69172 160.161894 \nL 93.065224 159.436232 \nL 90.366815 158.456574 \nL 87.625204 157.196572 \nL 84.876875 155.631423 \nL 82.166632 153.739869 \nL 79.547697 151.506677 \nL 77.081189 148.925559 \nL 74.834755 146.002331 \nL 72.880244 142.758006 \nL 71.290307 139.231419 \nL 70.134023 135.480758 \nL 69.471873 131.5835 \nL 69.350496 127.634268 \nL 69.797942 123.740393 \nL 70.820148 120.015378 \nL 72.399265 116.570893 \nL 74.494241 113.50831 \nL 77.04368 110.911042 \nL 79.970549 108.838716 \nL 83.188078 107.324082 \nL 86.605974 106.372863 \nL 90.136154 105.966264 \nL 93.69739 106.065457 \nL 97.218563 106.617204 \nL 100.640477 107.559617 \nL 103.916404 108.827452 \nL 107.01163 110.356422 \nL 109.902366 112.086377 \nL 112.574253 113.963307 \nL 115.020753 115.940413 \nL 117.241563 117.978343 \nL 119.241156 120.044925 \nL 121.0275 122.114548 \nL 122.610987 124.167354 \nL 124.003538 126.188387 \nL 125.217899 128.16676 \nL 127.163955 131.967807 \nL 128.549603 135.538045 \nL 129.46469 138.871026 \nL 129.984121 141.974894 \nL 130.166394 144.865101 \nL 130.053768 147.559902 \nL 129.673226 150.077588 \nL 129.037701 152.434799 \nL 128.147253 154.64535 \nL 126.990037 156.71925 \nL 125.543016 158.661574 \nL 123.772504 160.470953 \nL 121.634725 162.13735 \nL 119.076708 163.638792 \nL 116.038106 164.936651 \nL 114.318559 165.491048 \nL 112.454874 165.96911 \nL 110.439591 166.358077 \nL 108.266151 166.642551 \nL 105.92944 166.804154 \nL 103.426477 166.821197 \nL 100.757284 166.668387 \nL 97.925928 166.316668 \nL 94.941783 165.733226 \nL 91.820955 164.881802 \nL 88.587875 163.723413 \nL 85.27694 162.217686 \nL 81.934063 160.3249 \nL 78.617918 158.008933 \nL 75.40056 155.241196 \nL 72.367031 152.005483 \nL 69.61355 148.303475 \nL 67.243927 144.160395 \nL 65.363968 139.629917 \nL 64.074043 134.797222 \nL 63.46031 129.778993 \nL 63.585638 124.719358 \nL 64.481698 119.781375 \nL 66.143649 115.134606 \nL 68.528718 110.940362 \nL 71.559164 107.336941 \nL 75.129254 104.427436 \nL 79.115055 102.272211 \nL 83.385295 100.887069 \nL 87.811578 100.246828 \nL 92.276604 100.29305 \nL 96.679685 100.944015 \nL 100.939517 102.105048 \nL 104.994611 103.67775 \nL 108.801997 105.567266 \nL 112.334919 107.687221 \nL 115.580073 109.962515 \nL 118.534796 112.330408 \nL 121.204482 114.740301 \nL 123.600352 117.152715 \nL 125.737598 119.537873 \nL 127.633912 121.874114 \nL 129.308341 124.146377 \nL 132.069528 128.463521 \nL 134.173033 132.45276 \nL 135.756915 136.114442 \nL 136.939937 139.467573 \nL 137.820431 142.539076 \nL 138.742421 146.681223 \nL 139.519018 151.474575 \nL 141.053214 162.256035 \nL 141.560915 164.301848 \nL 142.213869 166.120494 \nL 143.071536 167.710807 \nL 143.794157 168.638233 \nL 144.670307 169.450922 \nL 145.735088 170.137113 \nL 147.031333 170.679707 \nL 148.611225 171.054474 \nL 150.53805 171.22755 \nL 152.887905 171.152001 \nL 155.751041 170.763201 \nL 159.232114 169.972808 \nL 163.448039 168.661414 \nL 168.521115 166.670591 \nL 171.415234 165.358582 \nL 174.563546 163.796701 \nL 177.973597 161.952573 \nL 181.647375 159.792006 \nL 185.579022 157.280282 \nL 189.75201 154.384225 \nL 194.135817 151.075213 \nL 198.682198 147.333402 \nL 203.321317 143.153241 \nL 207.95818 138.550254 \nL 212.47009 133.568667 \nL 216.706122 128.289086 \nL 220.4898 122.83467 \nL 223.626257 117.373712 \nL 225.914707 112.116109 \nL 227.166328 107.301445 \nL 227.226124 103.177668 \nL 225.9957 99.971794 \nL 223.452262 97.857201 \nL 219.658834 96.924781 \nL 214.761972 97.165988 \nL 208.976189 98.47331 \nL 202.558142 100.658953 \nL 195.776437 103.486606 \nL 188.88368 106.707805 \nL 175.581185 113.458063 \nL 153.980857 124.706053 \nL 137.369092 133.216036 \nL 133.122581 135.625888 \nL 129.781493 137.782588 \nL 127.085236 139.800423 \nL 123.788157 142.684536 \nL 118.990971 147.163882 \nL 116.987227 148.785206 \nL 114.812321 150.258627 \nL 112.405935 151.539644 \nL 109.721765 152.574423 \nL 106.729074 153.297559 \nL 105.112661 153.51811 \nL 103.416897 153.629931 \nL 101.644667 153.620841 \nL 99.801133 153.477841 \nL 97.894105 153.187283 \nL 95.934423 152.735148 \nL 93.936339 152.107454 \nL 91.917859 151.290822 \nL 89.901016 150.273198 \nL 87.912014 149.044771 \nL 85.981174 147.599046 \nL 84.142642 145.934043 \nL 82.433759 144.053598 \nL 80.894097 141.968592 \nL 79.564082 139.698029 \nL 78.483257 137.269781 \nL 77.688244 134.720802 \nL 77.210555 132.096685 \nL 77.074395 129.450435 \nL 77.294738 126.84042 \nL 77.875872 124.327643 \nL 78.810627 121.972475 \nL 80.080409 119.831246 \nL 81.656096 117.952988 \nL 83.499667 116.376759 \nL 85.566425 115.12981 \nL 87.807527 114.226719 \nL 90.17259 113.669631 \nL 92.612088 113.449338 \nL 95.079373 113.547086 \nL 97.532201 113.936784 \nL 99.933747 114.587318 \nL 102.2531 115.464802 \nL 104.465348 116.534535 \nL 106.551341 117.762595 \nL 108.497199 119.117004 \nL 110.293699 120.568526 \nL 111.935593 122.091107 \nL 113.420911 123.662056 \nL 114.750298 125.261985 \nL 115.926407 126.874647 \nL 116.95336 128.486638 \nL 117.836279 130.087085 \nL 119.193215 133.220509 \nL 120.044934 136.225984 \nL 120.436506 139.075041 \nL 120.405745 141.751994 \nL 119.980804 144.248015 \nL 119.179335 146.556563 \nL 118.008711 148.66972 \nL 116.467115 150.575014 \nL 114.545406 152.252381 \nL 113.437814 152.996482 \nL 112.229916 153.671038 \nL 110.919966 154.269967 \nL 109.506541 154.786102 \nL 107.988776 155.211069 \nL 106.366644 155.535205 \nL 104.641287 155.747488 \nL 102.815395 155.835513 \nL 100.893641 155.785506 \nL 98.883165 155.582454 \nL 96.794101 155.210287 \nL 94.640122 154.652255 \nL 92.438977 153.891452 \nL 90.213003 152.911564 \nL 87.98949 151.697828 \nL 85.80091 150.238272 \nL 83.684853 148.525176 \nL 81.683613 146.556716 \nL 79.84332 144.338695 \nL 78.212571 141.886216 \nL 76.840499 139.225057 \nL 75.774361 136.392525 \nL 75.056761 133.437533 \nL 74.722699 130.419659 \nL 74.796776 127.40707 \nL 75.290893 124.473348 \nL 76.202733 121.693458 \nL 77.515326 119.139161 \nL 79.197779 116.874497 \nL 81.207119 114.951815 \nL 83.491034 113.408896 \nL 85.99118 112.267385 \nL 88.64665 111.532744 \nL 91.397226 111.195521 \nL 94.186147 111.233649 \nL 96.962185 111.615368 \nL 99.680997 112.302408 \nL 102.305779 113.252963 \nL 104.807336 114.42437 \nL 107.163711 115.775166 \nL 109.359518 117.266657 \nL 111.385087 118.863862 \nL 113.235558 120.536036 \nL 114.909973 122.256813 \nL 116.410432 124.004063 \nL 117.741332 125.759604 \nL 118.9087 127.508786 \nL 119.919633 129.24004 \nL 121.503247 132.615198 \nL 122.554824 135.837617 \nL 123.132612 138.883438 \nL 123.285443 141.743314 \nL 123.050233 144.415788 \nL 122.451125 146.9025 \nL 121.499651 149.204618 \nL 120.195551 151.319929 \nL 118.528081 153.240165 \nL 116.477861 154.948155 \nL 115.301423 155.713968 \nL 114.019497 156.414567 \nL 112.628603 157.043743 \nL 111.125474 157.594011 \nL 109.507298 158.056457 \nL 107.77201 158.420594 \nL 105.918655 158.674219 \nL 103.947816 158.803315 \nL 101.862121 158.791991 \nL 99.666823 158.622499 \nL 97.370466 158.275368 \nL 94.985607 157.729698 \nL 92.529574 156.963649 \nL 90.025208 155.955208 \nL 87.501548 154.683282 \nL 84.994325 153.129133 \nL 82.546179 151.278182 \nL 80.20645 149.122205 \nL 78.03039 146.661705 \nL 76.077682 143.908411 \nL 74.410157 140.887516 \nL 73.088743 137.639339 \nL 72.169743 134.22002 \nL 71.700757 130.700789 \nL 71.716636 127.165622 \nL 72.235997 123.707165 \nL 73.258834 120.421234 \nL 74.765625 117.400382 \nL 76.718206 114.727374 \nL 79.062291 112.469452 \nL 81.731346 110.674127 \nL 84.651274 109.367046 \nL 87.745301 108.552092 \nL 90.938438 108.213416 \nL 94.16118 108.318964 \nL 97.3521 108.824813 \nL 100.459394 109.679653 \nL 103.441437 110.82896 \nL 106.266544 112.218472 \nL 108.912205 113.796794 \nL 111.36397 115.517143 \nL 113.614199 117.338352 \nL 115.660788 119.225228 \nL 117.505969 121.148455 \nL 119.155233 123.084194 \nL 120.616397 125.013527 \nL 121.89883 126.9218 \nL 123.012804 128.79796 \nL 124.778043 132.424126 \nL 125.995631 135.853796 \nL 126.74093 139.07361 \nL 127.076533 142.084761 \nL 127.050319 144.896026 \nL 126.695123 147.519184 \nL 126.029251 149.965929 \nL 125.057381 152.245651 \nL 123.771607 154.363591 \nL 122.152509 156.318948 \nL 120.170362 158.102641 \nL 117.786734 159.694356 \nL 114.956913 161.058557 \nL 113.359939 161.638816 \nL 111.63396 162.139266 \nL 109.773861 162.548644 \nL 107.775453 162.853535 \nL 105.635931 163.038145 \nL 103.354464 163.084098 \nL 100.932892 162.970283 \nL 98.37656 162.672819 \nL 95.695284 162.165174 \nL 92.904421 161.41852 \nL 90.026033 160.40241 \nL 87.090039 159.085893 \nL 84.13526 157.439145 \nL 81.210209 155.435733 \nL 78.373395 153.055471 \nL 75.692898 150.287909 \nL 73.244972 147.13618 \nL 71.111425 143.620889 \nL 69.375684 139.783495 \nL 68.117604 135.688459 \nL 67.407358 131.423431 \nL 67.29903 127.096828 \nL 67.824773 122.832515 \nL 68.990489 118.76176 \nL 70.77387 115.013359 \nL 73.125293 111.703171 \nL 75.971585 108.924808 \nL 79.222033 106.742761 \nL 82.77576 105.189111 \nL 86.529292 104.26395 \nL 90.383322 103.939097 \nL 94.247981 104.164087 \nL 98.046266 104.873242 \nL 101.715697 105.992724 \nL 105.208489 107.446715 \nL 108.490607 109.162252 \nL 111.540179 111.072549 \nL 114.345564 113.118937 \nL 116.903377 115.251666 \nL 119.216632 117.429841 \nL 121.293085 119.620822 \nL 123.143845 121.799294 \nL 124.782211 123.946207 \nL 126.22276 126.047724 \nL 128.570944 130.079441 \nL 130.307277 133.853362 \nL 131.540398 137.361176 \nL 132.363159 140.612715 \nL 132.850765 143.626832 \nL 133.061017 146.425969 \nL 133.035607 149.033061 \nL 132.8018 151.469855 \nL 132.374084 153.75603 \nL 131.755562 155.908757 \nL 130.938964 157.94244 \nL 129.907246 159.868402 \nL 128.633791 161.694386 \nL 127.082293 163.423657 \nL 125.206418 165.05347 \nL 122.949484 166.572626 \nL 120.244524 167.957664 \nL 117.015343 169.167211 \nL 115.178544 169.686403 \nL 113.179673 170.133833 \nL 111.008633 170.495169 \nL 108.656144 170.752881 \nL 106.114379 170.885745 \nL 103.377777 170.868326 \nL 100.444108 170.670512 \nL 97.31579 170.257154 \nL 94.001502 169.587907 \nL 90.51809 168.617454 \nL 86.892727 167.29625 \nL 83.165225 165.572073 \nL 79.390288 163.392608 \nL 75.639403 160.709351 \nL 72.001922 157.48297 \nL 68.584698 153.690106 \nL 65.509702 149.331282 \nL 62.908948 144.439052 \nL 60.916454 139.085059 \nL 59.657432 133.384182 \nL 59.235647 127.493806 \nL 59.720729 121.606772 \nL 61.137709 115.937546 \nL 63.461179 110.703005 \nL 66.615705 106.100667 \nL 70.482785 102.288546 \nL 74.913122 99.370479 \nL 79.741786 97.389548 \nL 84.803388 96.330224 \nL 89.94484 96.127679 \nL 95.03422 96.68153 \nL 99.965397 97.870895 \nL 104.658973 99.568159 \nL 109.060524 101.649867 \nL 113.137261 104.004134 \nL 116.874037 106.534711 \nL 120.269363 109.162427 \nL 123.331815 111.824726 \nL 126.077007 114.474009 \nL 128.525172 117.07548 \nL 130.699287 119.604812 \nL 132.623662 122.045951 \nL 135.821282 126.629518 \nL 138.307254 130.797624 \nL 140.252086 134.56199 \nL 142.469049 139.517608 \nL 146.215289 148.428614 \nL 147.261655 150.405442 \nL 148.403644 152.154727 \nL 149.691532 153.678589 \nL 151.175271 154.971099 \nL 152.906775 156.017349 \nL 154.941673 156.792063 \nL 157.340345 157.257685 \nL 160.167915 157.361966 \nL 163.492578 157.035245 \nL 165.362475 156.68309 \nL 167.381239 156.187943 \nL 169.555631 155.535308 \nL 171.89093 154.709488 \nL 174.390277 153.693801 \nL 177.053865 152.470964 \nL 179.877953 151.023672 \nL 182.853689 149.335458 \nL 185.965778 147.391868 \nL 189.191001 145.182035 \nL 192.496683 142.700649 \nL 195.839217 139.950362 \nL 199.162851 136.944508 \nL 202.398989 133.709975 \nL 205.466329 130.289947 \nL 208.272202 126.745975 \nL 210.715487 123.158816 \nL 212.691302 119.627366 \nL 214.097533 116.265003 \nL 214.842885 113.193053 \nL 214.85568 110.531488 \nL 214.092287 108.387714 \nL 212.543743 106.845017 \nL 210.239207 105.952705 \nL 207.245275 105.720028 \nL 203.660948 106.115326 \nL 199.608962 107.070737 \nL 195.224919 108.491558 \nL 190.646046 110.268241 \nL 186.001255 112.28871 \nL 176.946482 116.660002 \nL 168.716859 120.977709 \nL 161.643953 124.915884 \nL 155.808133 128.390225 \nL 151.135087 131.452481 \nL 147.474561 134.203258 \nL 144.651756 136.741124 \nL 142.496128 139.1416 \nL 140.855183 141.453684 \nL 139.599384 143.704319 \nL 138.62221 145.90498 \nL 137.495869 149.115529 \nL 134.476485 158.896497 \nL 133.303786 161.528951 \nL 132.352645 163.20876 \nL 131.223737 164.830605 \nL 129.874853 166.395329 \nL 128.256591 167.901394 \nL 126.310693 169.342876 \nL 123.968575 170.706434 \nL 121.150347 171.966796 \nL 117.764997 173.080018 \nL 113.71288 173.973661 \nL 111.404843 174.304408 \nL 108.892611 174.532986 \nL 106.165623 174.635443 \nL 103.215685 174.582706 \nL 100.038222 174.339888 \nL 96.633886 173.865706 \nL 93.010558 173.112135 \nL 89.185769 172.024467 \nL 85.189502 170.542077 \nL 81.067256 168.600187 \nL 76.883128 166.133047 \nL 72.722455 163.078918 \nL 68.69342 159.387135 \nL 64.92672 155.027249 \nL 61.572386 149.999811 \nL 58.792817 144.347484 \nL 56.751611 138.164555 \nL 55.598563 131.601966 \nL 55.452417 124.865064 \nL 56.384101 118.201998 \nL 58.404105 111.882691 \nL 61.457171 106.170945 \nL 65.426306 101.294883 \nL 70.145583 97.421797 \nL 75.419135 94.642792 \nL 81.042181 92.969845 \nL 86.820001 92.344461 \nL 92.58201 92.654579 \nL 98.189794 93.754945 \nL 103.539516 95.486861 \nL 108.560121 97.694251 \nL 113.208991 100.234835 \nL 117.466519 102.986436 \nL 121.33066 105.849317 \nL 124.812072 108.745621 \nL 127.930077 111.617163 \nL 130.709507 114.422377 \nL 133.178328 117.133098 \nL 135.365906 119.731559 \nL 139.014854 124.557384 \nL 141.881673 128.877797 \nL 144.168 132.715594 \nL 150.569365 144.034287 \nL 152.043466 146.019181 \nL 153.632972 147.701028 \nL 155.403733 149.079135 \nL 157.417145 150.141385 \nL 158.533297 150.546941 \nL 159.732009 150.863365 \nL 161.020314 151.085514 \nL 162.405046 151.207358 \nL 163.892756 151.22195 \nL 165.489566 151.121422 \nL 167.200984 150.897009 \nL 169.03164 150.539099 \nL 170.984965 150.037338 \nL 173.062776 149.380803 \nL 175.264774 148.558274 \nL 177.587951 147.558608 \nL 180.025889 146.371279 \nL 182.567976 144.987064 \nL 185.198548 143.398954 \nL 187.896011 141.603276 \nL 190.631985 139.600994 \nL 193.370575 137.399224 \nL 196.067881 135.012828 \nL 198.67192 132.465972 \nL 201.123099 129.793462 \nL 203.355442 127.041579 \nL 205.298711 124.268112 \nL 206.881501 121.541283 \nL 208.035239 118.937303 \nL 208.698921 116.536443 \nL 208.824144 114.417823 \nL 208.379878 112.653236 \nL 207.356282 111.300886 \nL 205.766949 110.399848 \nL 203.649047 109.966264 \nL 201.061204 109.992025 \nL 198.079339 110.446177 \nL 194.791029 111.278859 \nL 191.289175 112.427098 \nL 187.66584 113.821379 \nL 184.006996 115.391998 \nL 176.874258 118.812629 \nL 170.345666 122.288233 \nL 164.673274 125.589293 \nL 159.944027 128.629819 \nL 156.134364 131.412716 \nL 153.159366 133.980331 \nL 150.908458 136.382133 \nL 149.267976 138.658634 \nL 148.133826 140.836326 \nL 147.417544 142.928353 \nL 147.048354 144.937464 \nL 146.973016 146.859171 \nL 147.154592 148.684319 \nL 147.570853 150.400732 \nL 148.212733 151.993975 \nL 149.083031 153.447403 \nL 150.195458 154.741535 \nL 151.574003 155.852946 \nL 153.252536 156.752619 \nL 155.274475 157.403821 \nL 157.692208 157.759496 \nL 160.565795 157.759197 \nL 163.960189 157.325844 \nL 167.939792 156.362855 \nL 170.166728 155.646885 \nL 172.558632 154.75302 \nL 175.117936 153.663883 \nL 177.843872 152.361619 \nL 180.731413 150.828549 \nL 183.770018 149.048124 \nL 186.942217 147.006218 \nL 190.222067 144.692841 \nL 193.573581 142.104285 \nL 196.949247 139.24568 \nL 200.288881 136.133852 \nL 203.51911 132.800299 \nL 206.553777 129.29387 \nL 209.295727 125.682635 \nL 211.640265 122.054302 \nL 213.480508 118.51442 \nL 214.71459 115.181833 \nL 215.25423 112.181097 \nL 215.033832 109.632186 \nL 214.018767 107.63868 \nL 212.211352 106.276087 \nL 209.653211 105.582669 \nL 206.423191 105.554673 \nL 202.630922 106.147237 \nL 198.406993 107.280929 \nL 193.891437 108.852479 \nL 189.222418 110.747563 \nL 184.526762 112.853094 \nL 175.469345 117.30534 \nL 167.32924 121.618948 \nL 160.392275 125.511019 \nL 154.704689 128.928886 \nL 150.171081 131.941213 \nL 146.630244 134.654464 \nL 143.90298 137.166919 \nL 141.818078 139.551363 \nL 140.224214 141.853699 \nL 138.993698 144.098317 \nL 138.021858 146.294945 \nL 136.869168 149.501081 \nL 134.242168 157.442534 \nL 133.032854 160.167515 \nL 132.063724 161.906713 \nL 130.920508 163.584855 \nL 129.560504 165.201814 \nL 127.934424 166.755142 \nL 125.984722 168.238019 \nL 123.644171 169.636231 \nL 120.835001 170.923686 \nL 117.469227 172.055811 \nL 113.451333 172.960036 \nL 111.167524 173.293178 \nL 108.685287 173.522552 \nL 105.994912 173.624655 \nL 103.089106 173.571082 \nL 99.964195 173.327905 \nL 96.621685 172.855167 \nL 93.07017 172.1066 \nL 89.327623 171.02978 \nL 85.424036 169.566924 \nL 81.404274 167.656668 \nL 77.330892 165.237173 \nL 73.286533 162.250888 \nL 69.375278 158.651242 \nL 65.722199 154.411194 \nL 62.470212 149.533225 \nL 59.77347 144.059562 \nL 57.786906 138.08079 \nL 56.652304 131.740366 \nL 56.482334 125.232416 \nL 57.345091 118.791034 \nL 59.252317 112.670955 \nL 62.154286 107.122043 \nL 65.943131 102.361941 \nL 70.464295 98.55265 \nL 75.533779 95.785742 \nL 80.957537 94.078816 \nL 86.54931 93.38267 \nL 92.144168 93.596309 \nL 97.606598 94.585571 \nL 102.83337 96.201538 \nL 107.752354 98.29587 \nL 112.31881 100.731769 \nL 116.510485 103.390447 \nL 120.322551 106.17383 \nL 123.762981 109.00444 \nL 126.848647 111.823596 \nL 129.602225 114.588729 \nL 132.049826 117.270416 \nL 134.219244 119.849552 \nL 137.83598 124.660859 \nL 140.669575 128.991887 \nL 142.915913 132.859165 \nL 145.546264 137.870302 \nL 148.355736 143.279281 \nL 149.688272 145.50788 \nL 151.078803 147.445319 \nL 152.594634 149.099463 \nL 154.297626 150.468059 \nL 156.246999 151.53797 \nL 158.501186 152.284131 \nL 159.76082 152.524392 \nL 161.118483 152.668234 \nL 162.581279 152.708573 \nL 164.156061 152.637329 \nL 165.849257 152.445429 \nL 167.66663 152.122814 \nL 169.612977 151.658508 \nL 171.69173 151.040732 \nL 173.904469 150.257121 \nL 176.250329 149.29504 \nL 178.725278 148.142043 \nL 181.321307 146.78653 \nL 184.025492 145.218585 \nL 186.819004 143.431087 \nL 189.676077 141.421056 \nL 192.56306 139.19125 \nL 195.437636 136.751956 \nL 198.248367 134.122848 \nL 200.934788 131.334758 \nL 203.428244 128.431059 \nL 205.653652 125.468352 \nL 207.532395 122.516022 \nL 208.986337 119.654371 \nL 209.942871 116.971002 \nL 210.340612 114.555489 \nL 210.135177 112.492665 \nL 209.304256 110.855213 \nL 207.851169 109.696604 \nL 205.806158 109.045631 \nL 203.225069 108.903477 \nL 200.18541 109.244111 \nL 196.780357 110.017838 \nL 193.111577 111.157455 \nL 189.2819 112.585841 \nL 185.388821 114.223642 \nL 177.747445 117.837255 \nL 170.714554 121.526493 \nL 164.58608 125.017626 \nL 159.466755 128.208031 \nL 155.333073 131.102286 \nL 152.09059 133.752761 \nL 149.615269 136.220549 \nL 147.779254 138.556203 \nL 146.465032 140.793761 \nL 145.572001 142.951722 \nL 145.018508 145.036686 \nL 144.741408 147.047289 \nL 144.694447 148.977398 \nL 144.84625 150.818326 \nL 145.17837 152.560072 \nL 145.683632 154.191806 \nL 146.364891 155.701747 \nL 147.234224 157.076593 \nL 148.312539 158.300576 \nL 149.629551 159.354147 \nL 151.224033 160.212255 \nL 153.144187 160.84216 \nL 155.447919 161.200675 \nL 158.202588 161.230797 \nL 161.483602 160.857747 \nL 165.370736 159.98478 \nL 167.565959 159.323694 \nL 169.940479 158.489731 \nL 172.50103 157.463532 \nL 175.251855 156.22441 \nL 178.193665 154.750798 \nL 181.322357 153.020985 \nL 184.627474 151.014224 \nL 188.090431 148.712288 \nL 191.682541 146.101583 \nL 195.362959 143.175847 \nL 199.076705 139.939451 \nL 202.753093 136.411153 \nL 206.3049 132.628051 \nL 209.628818 128.649212 \nL 212.607694 124.558224 \nL 215.115078 120.463731 \nL 217.022353 116.496894 \nL 218.208367 112.804951 \nL 218.570878 109.54052 \nL 218.038446 106.847339 \nL 216.580847 104.844137 \nL 214.21587 103.609566 \nL 211.010696 103.171299 \nL 207.077058 103.502169 \nL 202.560731 104.524438 \nL 197.627234 106.121448 \nL 192.44641 108.153936 \nL 187.178488 110.477469 \nL 176.915778 115.480654 \nL 167.636398 120.332595 \nL 156.303173 126.561347 \nL 150.498093 129.973851 \nL 145.917934 132.93278 \nL 142.351049 135.581644 \nL 139.583786 138.036754 \nL 137.421835 140.377097 \nL 135.698008 142.648662 \nL 134.272827 144.873324 \nL 131.880274 149.198892 \nL 129.544442 153.324923 \nL 128.232577 155.291937 \nL 126.748044 157.181724 \nL 125.034723 158.982075 \nL 123.034689 160.676753 \nL 120.686653 162.242525 \nL 117.925489 163.644996 \nL 114.6834 164.832951 \nL 112.860944 165.324076 \nL 110.893688 165.730866 \nL 108.77475 166.038557 \nL 106.498615 166.229624 \nL 104.061772 166.283456 \nL 101.463491 166.176075 \nL 98.706792 165.879946 \nL 95.799592 165.363959 \nL 92.756043 164.593656 \nL 89.598007 163.531845 \nL 86.356625 162.139729 \nL 83.073811 160.378712 \nL 79.803515 158.21302 \nL 76.612465 155.61322 \nL 73.580028 152.56065 \nL 70.796831 149.052536 \nL 68.361766 145.107369 \nL 66.377136 140.769825 \nL 64.942006 136.114192 \nL 64.144097 131.245208 \nL 64.051135 126.295289 \nL 64.70287 121.417571 \nL 66.105216 116.775083 \nL 68.227708 112.527149 \nL 71.005101 108.815168 \nL 74.342894 105.75007 \nL 78.125958 103.403646 \nL 82.228706 101.805073 \nL 86.525167 100.942715 \nL 90.89754 100.770315 \nL 95.242362 101.215938 \nL 99.474067 102.191821 \nL 103.526124 103.603628 \nL 107.35037 105.358053 \nL 110.915111 107.368341 \nL 114.202614 109.557704 \nL 117.206429 111.860892 \nL 119.928818 114.224438 \nL 122.378485 116.605965 \nL 124.568658 118.972951 \nL 126.515537 121.301275 \nL 128.23706 123.573746 \nL 129.751967 125.778704 \nL 132.236872 129.96009 \nL 134.113932 133.821625 \nL 135.511312 137.369476 \nL 136.53771 140.624609 \nL 137.281981 143.613982 \nL 138.019348 147.660818 \nL 138.451054 151.260221 \nL 138.74146 155.489286 \nL 138.85202 160.872586 \nL 138.718744 166.05034 \nL 138.40654 169.772951 \nL 137.939175 172.487925 \nL 137.347575 174.46549 \nL 136.713214 175.86403 \nL 135.847012 177.212351 \nL 134.661163 178.531929 \nL 133.634531 179.406331 \nL 132.365418 180.28312 \nL 130.79531 181.166047 \nL 128.851848 182.055118 \nL 126.446094 182.943329 \nL 123.469862 183.811253 \nL 119.793799 184.618207 \nL 115.267745 185.288179 \nL 112.634551 185.533233 \nL 109.726344 185.688089 \nL 106.522741 185.721952 \nL 103.005476 185.595831 \nL 99.160236 185.260962 \nL 94.979178 184.657208 \nL 90.464285 183.711666 \nL 85.631689 182.337801 \nL 80.517018 180.435671 \nL 75.181637 177.894026 \nL 69.71937 174.595264 \nL 64.262856 170.424415 \nL 58.98801 165.283197 \nL 54.114423 159.109526 \nL 49.899027 151.901546 \nL 46.620512 143.742907 \nL 44.55328 134.823374 \nL 43.932546 125.446636 \nL 44.916078 116.017297 \nL 47.551613 107.003146 \nL 51.759977 98.876374 \nL 57.340718 92.046232 \nL 64.000269 86.800788 \nL 71.395091 83.273354 \nL 79.17806 81.440762 \nL 87.036876 81.149748 \nL 94.718114 82.160057 \nL 102.036066 84.190952 \nL 108.869709 86.960814 \nL 115.152657 90.21464 \nL 120.860567 93.738938 \nL 125.998932 97.366353 \nL 130.592877 100.973348 \nL 134.679338 104.474197 \nL 138.301495 107.813554 \nL 141.504996 110.959134 \nL 146.837299 116.618019 \nL 151.019268 121.440848 \nL 160.502118 132.859994 \nL 162.553337 134.884417 \nL 164.561455 136.457024 \nL 166.614258 137.605347 \nL 168.776179 138.343755 \nL 171.090532 138.676232 \nL 173.580059 138.599694 \nL 176.245796 138.108172 \nL 179.064475 137.198197 \nL 181.984957 135.875742 \nL 184.924727 134.164543 \nL 187.76802 132.115221 \nL 190.3678 129.81344 \nL 192.554003 127.384224 \nL 193.436416 126.171108 \nL 194.149852 124.988876 \nL 194.675146 123.861134 \nL 194.996031 122.811449 \nL 195.100036 121.862369 \nL 194.979297 121.034412 \nL 194.631167 120.345071 \nL 194.058598 119.807935 \nL 193.270218 119.432055 \nL 192.280112 119.221555 \nL 191.107284 119.175591 \nL 189.77486 119.288605 \nL 188.309099 119.550906 \nL 185.091537 120.468762 \nL 181.685021 121.801611 \nL 178.302909 123.412882 \nL 175.120056 125.18006 \nL 172.26364 127.00688 \nL 169.814267 128.825344 \nL 167.813461 130.591074 \nL 166.273748 132.27604 \nL 165.18865 133.86143 \nL 164.54112 135.332073 \nL 164.309909 136.672738 \nL 164.473859 137.865948 \nL 165.014407 138.890906 \nL 165.916561 139.723091 \nL 167.168621 140.334262 \nL 168.760781 140.692817 \nL 170.682668 140.764528 \nL 172.919773 140.513965 \nL 175.448759 139.906908 \nL 178.231647 138.914236 \nL 181.209198 137.517752 \nL 184.294168 135.718137 \nL 187.36589 133.544692 \nL 190.268376 131.065467 \nL 192.81488 128.394954 \nL 193.89105 127.036872 \nL 194.801708 125.694968 \nL 195.522743 124.395158 \nL 196.03251 123.164244 \nL 196.312965 122.028844 \nL 196.350731 121.014169 \nL 196.138012 120.142772 \nL 195.673292 119.433348 \nL 194.961691 118.899742 \nL 194.014961 118.550224 \nL 192.85109 118.387153 \nL 191.493537 118.407046 \nL 189.970164 118.601076 \nL 188.311969 118.955869 \nL 184.722532 120.078122 \nL 180.984827 121.618875 \nL 177.330157 123.421965 \nL 173.939834 125.354923 \nL 170.93844 127.319731 \nL 168.398376 129.251808 \nL 166.350545 131.11238 \nL 164.796763 132.879099 \nL 163.721155 134.537803 \nL 163.099249 136.076579 \nL 162.904523 137.482142 \nL 163.112611 138.737888 \nL 163.703613 139.82305 \nL 164.662858 140.712421 \nL 165.980424 141.3764 \nL 167.649572 141.781263 \nL 169.664088 141.889724 \nL 172.014501 141.662137 \nL 174.682988 141.058715 \nL 177.636936 140.043359 \nL 180.821292 138.58972 \nL 184.150349 136.689934 \nL 187.500357 134.365952 \nL 190.705519 131.682179 \nL 193.560844 128.75633 \nL 194.785609 127.255215 \nL 195.835712 125.763417 \nL 196.682704 124.310273 \nL 197.300551 122.92662 \nL 197.667002 121.643521 \nL 197.764928 120.490817 \nL 197.583539 119.495563 \nL 197.119299 118.680509 \nL 196.376494 118.062769 \nL 195.367321 117.652862 \nL 194.111479 117.454182 \nL 192.63531 117.463035 \nL 190.970511 117.66918 \nL 189.152598 118.056843 \nL 187.219218 118.606043 \nL 183.157389 120.097075 \nL 179.069757 121.954293 \nL 175.190783 124.008021 \nL 171.688733 126.128198 \nL 168.666406 128.228341 \nL 166.17217 130.258159 \nL 164.21491 132.191714 \nL 162.77858 134.016225 \nL 161.834187 135.723605 \nL 161.348614 137.305171 \nL 161.290489 138.748812 \nL 161.633649 140.037758 \nL 162.358744 141.150189 \nL 163.453441 142.059195 \nL 164.911503 142.732847 \nL 166.730846 143.134351 \nL 168.910538 143.222439 \nL 171.446567 142.952396 \nL 174.326124 142.278199 \nL 177.520231 141.156551 \nL 180.974713 139.553602 \nL 184.600172 137.455071 \nL 188.262494 134.879888 \nL 191.776927 131.896052 \nL 193.407371 130.289218 \nL 194.910188 128.634986 \nL 196.251141 126.960759 \nL 197.395791 125.297852 \nL 198.310904 123.680669 \nL 198.966062 122.145486 \nL 199.335383 120.728861 \nL 199.3992 119.465782 \nL 199.145563 118.387669 \nL 198.571378 117.520464 \nL 197.683037 116.88297 \nL 196.496451 116.485704 \nL 195.036442 116.330356 \nL 193.335523 116.409966 \nL 191.432199 116.709808 \nL 189.368947 117.208821 \nL 187.190097 117.881418 \nL 182.660106 119.634113 \nL 178.163077 121.744176 \nL 173.951937 124.02055 \nL 170.197833 126.32609 \nL 166.995827 128.577317 \nL 164.381095 130.731877 \nL 162.347861 132.772833 \nL 160.86643 134.695227 \nL 159.896414 136.496874 \nL 159.395973 138.173138 \nL 159.327644 139.714491 \nL 159.661604 141.105734 \nL 160.377047 142.325953 \nL 161.462219 143.348633 \nL 162.913469 144.141681 \nL 164.733368 144.667348 \nL 166.927902 144.882199 \nL 169.502468 144.737464 \nL 172.456329 144.180334 \nL 175.775111 143.157016 \nL 179.421091 141.618521 \nL 183.321414 139.530427 \nL 187.355349 136.887384 \nL 189.368796 135.368647 \nL 191.343318 133.732094 \nL 193.246527 131.993972 \nL 195.042482 130.175922 \nL 196.69239 128.305194 \nL 198.1557 126.414509 \nL 199.39154 124.541516 \nL 200.36054 122.727699 \nL 201.026897 121.016781 \nL 201.360589 119.452605 \nL 201.339539 118.076687 \nL 200.951483 116.925581 \nL 200.195336 116.028412 \nL 199.081838 115.404829 \nL 197.633385 115.063685 \nL 195.882977 115.00263 \nL 193.872416 115.208669 \nL 191.649913 115.659652 \nL 189.26739 116.326446 \nL 186.777748 117.175448 \nL 181.678992 119.278808 \nL 176.712746 121.703221 \nL 172.144763 124.237963 \nL 168.139593 126.745427 \nL 164.774586 129.152769 \nL 162.063209 131.431937 \nL 159.978663 133.579256 \nL 158.473293 135.60003 \nL 157.492627 137.49913 \nL 156.984544 139.276437 \nL 156.904683 140.925266 \nL 157.219172 142.43232 \nL 157.905589 143.778118 \nL 158.952745 144.93736 \nL 160.359664 145.87894 \nL 162.133898 146.565631 \nL 164.289091 146.953523 \nL 166.841547 146.991597 \nL 169.805333 146.621851 \nL 173.18536 145.780754 \nL 176.967781 144.403212 \nL 181.107282 142.43049 \nL 183.284374 141.207522 \nL 185.511501 139.823787 \nL 187.767012 138.280904 \nL 190.024348 136.584642 \nL 192.251786 134.745848 \nL 194.41243 132.781338 \nL 196.464521 130.714625 \nL 198.362164 128.576418 \nL 200.056548 126.404662 \nL 201.497686 124.244036 \nL 202.636686 122.144741 \nL 203.428417 120.160519 \nL 203.834468 118.345943 \nL 203.826081 116.753118 \nL 203.386753 115.428111 \nL 202.514169 114.407489 \nL 201.221175 113.715436 \nL 199.535559 113.361907 \nL 197.498638 113.342107 \nL 195.162751 113.63735 \nL 192.587974 114.217238 \nL 189.838452 115.042811 \nL 186.978734 116.070124 \nL 181.170144 118.550315 \nL 175.580929 121.329613 \nL 170.50434 124.164632 \nL 166.106183 126.911179 \nL 162.448792 129.505974 \nL 159.523364 131.936876 \nL 157.279708 134.216018 \nL 155.648956 136.361547 \nL 154.558935 138.387703 \nL 153.943531 140.300902 \nL 153.747768 142.09919 \nL 153.930064 143.773139 \nL 154.462761 145.306983 \nL 155.331676 146.679424 \nL 156.535102 147.863865 \nL 158.082476 148.827996 \nL 159.992689 149.53293 \nL 162.29187 149.931921 \nL 165.010244 149.969093 \nL 168.177445 149.578555 \nL 171.815475 148.684809 \nL 173.813364 148.023653 \nL 175.928289 147.205693 \nL 178.155504 146.220846 \nL 180.487025 145.059914 \nL 182.910911 143.715265 \nL 185.410514 142.181663 \nL 187.963717 140.45728 \nL 190.54224 138.544887 \nL 193.111079 136.453151 \nL 195.628211 134.197969 \nL 198.044669 131.803739 \nL 200.305156 129.304356 \nL 202.349307 126.743724 \nL 204.113738 124.175541 \nL 205.534874 121.66208 \nL 206.552528 119.271863 \nL 207.113999 117.076097 \nL 207.17834 115.144102 \nL 206.720291 113.538121 \nL 205.733371 112.308074 \nL 204.231553 111.487117 \nL 202.249223 111.088597 \nL 199.839262 111.105128 \nL 197.069466 111.509847 \nL 194.017768 112.259736 \nL 190.766893 113.300406 \nL 187.399156 114.571559 \nL 183.991937 116.012274 \nL 177.324705 119.181171 \nL 171.186544 122.445297 \nL 165.821672 125.587199 \nL 161.325672 128.514913 \nL 157.691243 131.217819 \nL 154.851389 133.724271 \nL 152.712072 136.072489 \nL 151.173704 138.295061 \nL 150.143749 140.413259 \nL 149.543207 142.436719 \nL 149.309221 144.365481 \nL 149.395472 146.192443 \nL 149.77143 147.905373 \nL 150.421137 149.488168 \nL 151.341923 150.921235 \nL 152.543246 152.181194 \nL 154.045675 153.239907 \nL 155.879965 154.062936 \nL 158.085966 154.607513 \nL 160.711009 154.820157 \nL 163.807154 154.634134 \nL 167.42639 153.967303 \nL 169.446481 153.423462 \nL 171.612482 152.721362 \nL 173.926417 151.846591 \nL 176.387783 150.784357 \nL 178.992726 149.519977 \nL 181.733088 148.039582 \nL 184.595316 146.331069 \nL 187.559285 144.385345 \nL 190.597059 142.197905 \nL 193.671732 139.770697 \nL 196.736441 137.114256 \nL 199.73379 134.249942 \nL 202.595869 131.212102 \nL 205.245188 128.049781 \nL 207.596763 124.82758 \nL 209.561545 121.625139 \nL 211.051269 118.534804 \nL 211.984538 115.657151 \nL 212.293698 113.094351 \nL 211.931698 110.941872 \nL 210.878007 109.279431 \nL 209.142465 108.162631 \nL 206.766269 107.616792 \nL 203.819647 107.63424 \nL 200.396414 108.17575 \nL 196.606236 109.175946 \nL 192.56579 110.551498 \nL 188.390177 112.21067 \nL 184.185677 114.062423 \nL 176.042297 118.025217 \nL 168.667723 121.945993 \nL 162.330921 125.568493 \nL 157.09804 128.822834 \nL 152.908422 131.744681 \nL 149.637318 134.408877 \nL 147.138 136.890089 \nL 145.266319 139.245878 \nL 143.893102 141.513374 \nL 142.909094 143.712335 \nL 142.225643 145.850124 \nL 141.77321 147.926439 \nL 141.41597 150.915735 \nL 141.340842 153.737039 \nL 141.478711 156.371765 \nL 141.799413 158.805165 \nL 142.302573 161.025353 \nL 143.01285 163.020445 \nL 143.62445 164.217953 \nL 144.369984 165.301934 \nL 145.276021 166.263159 \nL 146.375839 167.088753 \nL 147.710557 167.760778 \nL 149.330474 168.254382 \nL 151.296511 168.53527 \nL 153.681567 168.556369 \nL 156.571406 168.253409 \nL 160.064333 167.539357 \nL 164.268338 166.297842 \nL 169.293445 164.376515 \nL 172.145136 163.102304 \nL 175.23558 161.582805 \nL 178.569668 159.788242 \nL 182.14659 157.687668 \nL 185.957672 155.250335 \nL 189.983766 152.447746 \nL 194.192252 149.256601 \nL 198.53375 145.662772 \nL 202.938834 141.666363 \nL 207.315163 137.287749 \nL 211.545692 132.574177 \nL 215.488869 127.606074 \nL 218.981747 122.501726 \nL 221.847086 117.418514 \nL 223.90499 112.548651 \nL 224.988928 108.107706 \nL 224.964766 104.315421 \nL 223.750045 101.370318 \nL 221.329643 99.422104 \nL 217.763745 98.547957 \nL 213.18524 98.738939 \nL 207.786181 99.900989 \nL 201.79578 101.870691 \nL 195.454744 104.441884 \nL 188.991303 107.396145 \nL 182.603119 110.530069 \nL 170.636072 116.70345 \nL 142.242641 131.666128 \nL 137.569669 134.365104 \nL 133.921189 136.745727 \nL 131.031249 138.945994 \nL 128.672667 141.046831 \nL 125.728719 144.087571 \nL 121.265972 148.858419 \nL 119.338699 150.608255 \nL 117.213344 152.222748 \nL 114.827452 153.662233 \nL 112.128153 154.87723 \nL 109.073579 155.805127 \nL 107.403953 156.137313 \nL 105.637055 156.36638 \nL 103.773167 156.479207 \nL 101.814679 156.461312 \nL 99.766541 156.296903 \nL 97.636772 155.96904 \nL 95.437006 155.459909 \nL 93.183058 154.751299 \nL 90.895462 153.82527 \nL 88.599929 152.665067 \nL 86.327659 151.256311 \nL 84.115401 149.588449 \nL 82.005189 147.656445 \nL 80.043606 145.462609 \nL 78.280546 143.018443 \nL 76.767385 140.346273 \nL 75.554581 137.480431 \nL 74.688816 134.467678 \nL 74.209873 131.366625 \nL 74.14755 128.24596 \nL 74.518949 125.181437 \nL 75.326548 122.25181 \nL 76.557319 119.534056 \nL 78.183128 117.09842 \nL 80.162357 115.003937 \nL 82.442591 113.294901 \nL 84.964041 111.998773 \nL 87.663244 111.125687 \nL 90.476649 110.669448 \nL 93.343736 110.609782 \nL 96.209403 110.915343 \nL 99.025612 111.547085 \nL 101.752221 112.461581 \nL 104.357184 113.613953 \nL 106.816225 114.960232 \nL 109.112158 116.459154 \nL 111.234017 118.073271 \nL 113.176076 119.769597 \nL 114.936878 121.519805 \nL 116.518329 123.300122 \nL 117.924856 125.091016 \nL 119.162707 126.876775 \nL 120.239327 128.645019 \nL 121.16286 130.386216 \nL 122.584359 133.760793 \nL 123.49278 136.964432 \nL 123.946461 139.981359 \nL 123.992548 142.807731 \nL 123.66526 145.445721 \nL 122.98552 147.899256 \nL 121.961401 150.170844 \nL 120.589099 152.258919 \nL 118.854289 154.155283 \nL 116.733987 155.842287 \nL 115.520349 156.598367 \nL 114.19918 157.289464 \nL 112.766558 157.9091 \nL 111.218783 158.449432 \nL 109.552634 158.901111 \nL 107.765676 159.253103 \nL 105.856644 159.492546 \nL 103.825896 159.604635 \nL 101.675949 159.572538 \nL 99.412119 159.377423 \nL 97.043218 158.998578 \nL 94.582344 158.41372 \nL 92.047701 157.599538 \nL 89.463419 156.532507 \nL 86.860274 155.190063 \nL 84.276247 153.552187 \nL 81.756745 151.603401 \nL 79.35435 149.335125 \nL 77.127942 146.748342 \nL 75.141022 143.856273 \nL 73.459179 140.686831 \nL 72.146677 137.284371 \nL 71.262376 133.710303 \nL 70.855237 130.042148 \nL 70.959975 126.370725 \nL 71.593392 122.795463 \nL 72.751997 119.418204 \nL 74.411357 116.33606 \nL 76.527386 113.634404 \nL 79.039413 111.380786 \nL 81.874657 109.620802 \nL 84.953441 108.376277 \nL 88.194453 107.645885 \nL 91.519457 107.407839 \nL 94.856992 107.624054 \nL 98.144892 108.244966 \nL 101.331622 109.214456 \nL 104.376587 110.474175 \nL 107.249655 111.967065 \nL 109.93017 113.639928 \nL 112.405661 115.445011 \nL 114.670456 117.340852 \nL 116.724327 119.292467 \nL 118.571223 121.271088 \nL 120.218174 123.253649 \nL 121.674349 125.222102 \nL 122.950275 127.162701 \nL 124.057218 129.065301 \nL 125.810004 132.730004 \nL 127.021319 136.183936 \nL 127.769981 139.418545 \nL 128.120905 142.438798 \nL 128.123581 145.256505 \nL 127.812036 147.885999 \nL 127.205551 150.341316 \nL 126.309673 152.634259 \nL 125.117252 154.772805 \nL 123.609417 156.759542 \nL 121.756537 158.589732 \nL 119.51938 160.248736 \nL 116.850846 161.708449 \nL 115.338635 162.349929 \nL 113.698943 162.922393 \nL 111.925352 163.416103 \nL 110.011975 163.819291 \nL 107.953843 164.117877 \nL 105.747403 164.295214 \nL 103.391129 164.33183 \nL 100.886283 164.205248 \nL 98.237813 163.889904 \nL 95.455408 163.357233 \nL 92.554686 162.576022 \nL 89.558487 161.513099 \nL 86.49818 160.134519 \nL 83.414859 158.40733 \nL 80.360277 156.302038 \nL 77.397231 153.795819 \nL 74.599156 150.876396 \nL 72.048604 147.546413 \nL 69.834325 143.827848 \nL 68.046842 139.765851 \nL 66.772577 135.431198 \nL 66.086942 130.920435 \nL 66.047126 126.353007 \nL 66.685577 121.865002 \nL 68.005335 117.599859 \nL 69.978164 113.69696 \nL 72.54601 110.27989 \nL 75.625659 107.446103 \nL 79.115903 105.259752 \nL 82.905983 103.748704 \nL 86.884048 102.90578 \nL 90.944462 102.693668 \nL 94.993238 103.052124 \nL 98.951357 103.906107 \nL 102.756097 105.173612 \nL 106.360767 106.772247 \nL 109.733354 108.624204 \nL 112.854536 110.659491 \nL 115.715465 112.81766 \nL 118.315564 115.048272 \nL 120.660529 117.310584 \nL 122.760593 119.572642 \nL 124.629081 121.810157 \nL 126.281256 124.005275 \nL 127.733401 126.145398 \nL 130.103842 130.2303 \nL 131.868767 134.032377 \nL 133.143867 137.55014 \nL 134.027421 140.798534 \nL 134.599138 143.800115 \nL 134.920963 146.579962 \nL 135.038839 149.162927 \nL 134.984773 151.572243 \nL 134.778816 153.828904 \nL 134.43074 155.951525 \nL 133.941322 157.956388 \nL 133.303184 159.857569 \nL 132.501204 161.667006 \nL 131.51252 163.394427 \nL 130.306156 165.047016 \nL 128.842335 166.628694 \nL 127.071551 168.138796 \nL 124.93356 169.569863 \nL 122.356565 170.904138 \nL 119.257099 172.108184 \nL 115.541537 173.124836 \nL 113.421748 173.535776 \nL 111.110844 173.861634 \nL 108.597337 174.082746 \nL 105.871234 174.175047 \nL 102.92501 174.109384 \nL 99.754865 173.85088 \nL 96.362333 173.358384 \nL 92.756273 172.584191 \nL 88.955265 171.474185 \nL 84.990362 169.968677 \nL 80.908061 168.004274 \nL 76.773254 165.517151 \nL 72.671702 162.448064 \nL 68.711411 158.749405 \nL 65.022073 154.394224 \nL 61.751636 149.386699 \nL 59.059225 143.77282 \nL 57.103981 137.649237 \nL 56.030338 131.167614 \nL 55.951287 124.531781 \nL 56.932406 117.985841 \nL 58.980026 111.793301 \nL 62.036681 106.20997 \nL 65.985452 101.45553 \nL 70.662725 97.689717 \nL 75.876662 94.998065 \nL 81.427474 93.389592 \nL 87.125605 92.805495 \nL 92.80515 93.135608 \nL 98.331489 94.238066 \nL 103.603532 95.958275 \nL 108.551983 98.144313 \nL 113.135136 100.657656 \nL 117.333665 103.379235 \nL 121.145369 106.211689 \nL 124.580466 109.078851 \nL 127.65769 111.923627 \nL 130.401216 114.705094 \nL 132.838337 117.395386 \nL 134.99777 119.976789 \nL 138.598692 124.778172 \nL 141.42497 129.085682 \nL 143.674662 132.920346 \nL 150.619388 145.348602 \nL 152.087116 147.21856 \nL 153.695919 148.795066 \nL 155.508436 150.073214 \nL 157.5844 151.036628 \nL 158.739438 151.391808 \nL 159.98212 151.65644 \nL 161.319526 151.824764 \nL 162.758555 151.890099 \nL 164.305815 151.844816 \nL 165.967451 151.68033 \nL 167.748928 151.387131 \nL 169.654737 150.954845 \nL 171.688024 150.372365 \nL 173.850124 149.628047 \nL 176.14 148.710034 \nL 178.553576 147.606684 \nL 181.082971 146.307198 \nL 183.715629 144.802412 \nL 186.433397 143.085842 \nL 189.211579 141.154921 \nL 192.018061 139.012493 \nL 194.81259 136.668462 \nL 197.546376 134.14151 \nL 200.162191 131.460706 \nL 202.595113 128.6668 \nL 204.774178 125.812836 \nL 206.625007 122.963813 \nL 208.073484 120.194982 \nL 209.050385 117.588634 \nL 209.4966 115.229291 \nL 209.368498 113.197611 \nL 208.642686 111.563626 \nL 207.31946 110.380178 \nL 205.424255 109.677702 \nL 203.006725 109.461216 \nL 200.137429 109.710267 \nL 196.902534 110.381754 \nL 193.397315 111.415283 \nL 189.719349 112.739918 \nL 185.962352 114.281304 \nL 178.538711 117.73642 \nL 171.651225 121.318901 \nL 165.607689 124.747901 \nL 160.530062 127.906612 \nL 156.41161 130.785854 \nL 153.171635 133.427853 \nL 150.696362 135.887494 \nL 148.865213 138.21208 \nL 147.56575 140.434177 \nL 146.700983 142.571667 \nL 146.192018 144.630749 \nL 145.97809 146.609496 \nL 146.015299 148.500856 \nL 146.274874 150.29472 \nL 146.741418 151.979061 \nL 147.411419 153.540299 \nL 148.292125 154.963016 \nL 149.400804 156.229158 \nL 150.76438 157.316793 \nL 152.419313 158.198396 \nL 154.411565 158.83866 \nL 156.796392 159.191783 \nL 159.63748 159.198236 \nL 163.004694 158.781165 \nL 166.969306 157.842947 \nL 169.196181 157.141641 \nL 171.594903 156.263081 \nL 174.169629 155.18889 \nL 176.921553 153.899868 \nL 179.847822 152.376574 \nL 182.940258 150.600216 \nL 186.183861 148.553902 \nL 189.555141 146.224334 \nL 193.020358 143.603991 \nL 196.533782 140.693802 \nL 200.036226 137.506259 \nL 203.454098 134.068753 \nL 206.699386 130.42681 \nL 209.670998 126.646641 \nL 212.257899 122.816338 \nL 214.344337 119.044833 \nL 215.817265 115.457871 \nL 216.575555 112.19051 \nL 216.54018 109.376333 \nL 215.663959 107.134319 \nL 213.939156 105.555335 \nL 211.401266 104.690743 \nL 208.127867 104.545654 \nL 204.232333 105.078501 \nL 199.853379 106.207307 \nL 195.14224 107.821255 \nL 190.249751 109.795075 \nL 185.315285 112.003279 \nL 175.776879 116.686468 \nL 167.199734 121.209281 \nL 159.896944 125.256527 \nL 153.916744 128.773371 \nL 149.152772 131.8409 \nL 145.42842 134.581075 \nL 142.549058 137.105264 \nL 140.329706 139.495349 \nL 138.607281 141.802781 \nL 137.244108 144.054875 \nL 135.630882 147.350446 \nL 131.51214 156.568556 \nL 130.390838 158.45085 \nL 129.093457 160.263696 \nL 127.571545 162.001869 \nL 125.771895 163.65717 \nL 123.634898 165.215881 \nL 121.093491 166.655168 \nL 118.073138 167.937923 \nL 114.493631 169.005551 \nL 112.468713 169.432151 \nL 110.274086 169.768154 \nL 107.901227 169.995349 \nL 105.343294 170.091864 \nL 102.595989 170.031691 \nL 99.658629 169.784282 \nL 96.535492 169.314274 \nL 93.237425 168.58146 \nL 89.783724 167.541142 \nL 86.204209 166.145087 \nL 82.541404 164.343273 \nL 78.85256 162.086686 \nL 75.211232 159.331407 \nL 71.707932 156.044032 \nL 68.449279 152.208404 \nL 65.55507 147.833131 \nL 63.152775 142.959045 \nL 61.36926 137.665198 \nL 60.320136 132.071692 \nL 60.097739 126.337581 \nL 60.75956 120.652756 \nL 62.319298 115.223671 \nL 64.742569 110.254641 \nL 67.948598 105.927567 \nL 71.817807 102.38391 \nL 76.203999 99.712323 \nL 80.948675 97.944066 \nL 85.894989 97.056226 \nL 90.899158 96.981299 \nL 95.838186 97.620324 \nL 100.613695 98.85687 \nL 105.15247 100.569578 \nL 109.404616 102.641923 \nL 113.340364 104.968749 \nL 116.946321 107.459833 \nL 120.22178 110.041013 \nL 123.175384 112.65365 \nL 125.822332 115.253065 \nL 128.182126 117.806509 \nL 130.276827 120.291001 \nL 132.129735 122.691302 \nL 135.204093 127.206635 \nL 137.586275 131.324617 \nL 139.439317 135.055749 \nL 141.526857 139.98957 \nL 145.827774 150.989129 \nL 146.810614 152.80292 \nL 147.911586 154.410532 \nL 149.175854 155.81026 \nL 150.650368 156.992845 \nL 152.385846 157.940382 \nL 154.438325 158.624683 \nL 156.870089 159.005085 \nL 159.749623 159.025656 \nL 163.149908 158.611961 \nL 165.068351 158.213165 \nL 167.143946 157.66797 \nL 169.384359 156.960704 \nL 171.795775 156.074301 \nL 174.382204 154.990523 \nL 177.144586 153.690335 \nL 180.07972 152.154525 \nL 183.178967 150.364608 \nL 186.426749 148.304118 \nL 189.798892 145.960318 \nL 193.260869 143.326424 \nL 196.766098 140.4043 \nL 200.254522 137.207562 \nL 203.651716 133.764912 \nL 206.869001 130.123289 \nL 209.804894 126.350337 \nL 212.348389 122.535416 \nL 214.384322 118.788354 \nL 215.800903 115.235188 \nL 216.498965 112.010461 \nL 216.402087 109.246269 \nL 215.466148 107.059176 \nL 213.686626 105.536884 \nL 211.102019 104.727211 \nL 207.792305 104.631823 \nL 203.872377 105.206324 \nL 199.481429 106.366909 \nL 194.770183 108.002084 \nL 189.888135 109.987 \nL 184.972777 112.19751 \nL 175.490108 116.866538 \nL 166.979169 121.363072 \nL 159.741817 125.383505 \nL 153.820224 128.878763 \nL 149.10581 131.931287 \nL 145.422001 134.662093 \nL 142.575293 137.180863 \nL 140.382231 139.567894 \nL 138.681309 141.873429 \nL 137.336307 144.123997 \nL 135.746859 147.417081 \nL 131.704891 156.624986 \nL 130.606809 158.505423 \nL 129.336461 160.317222 \nL 127.846135 162.055694 \nL 126.083378 163.713386 \nL 123.989309 165.277663 \nL 121.497477 166.727225 \nL 118.533674 168.027161 \nL 115.017444 169.121955 \nL 113.026332 169.567142 \nL 110.866579 169.925902 \nL 108.529198 170.180749 \nL 106.006708 170.310616 \nL 103.293938 170.290355 \nL 100.389064 170.090312 \nL 97.29489 169.675988 \nL 94.020422 169.007932 \nL 90.582701 168.041975 \nL 87.008884 166.730017 \nL 83.338446 165.02156 \nL 79.625315 162.866266 \nL 75.93964 160.217754 \nL 72.368748 157.038783 \nL 69.016729 153.307791 \nL 66.002039 149.026445 \nL 63.452579 144.227371 \nL 61.497948 138.980806 \nL 60.259097 133.398422 \nL 59.836275 127.632585 \nL 60.296937 121.869546 \nL 61.665782 116.316309 \nL 63.919137 111.182371 \nL 66.985236 106.659057 \nL 70.750691 102.900292 \nL 75.07204 100.008441 \nL 79.790133 98.027789 \nL 84.744623 96.946195 \nL 89.786297 96.703685 \nL 94.785779 97.205313 \nL 99.638231 98.335493 \nL 104.264503 99.971218 \nL 108.609659 101.992693 \nL 112.639904 104.290643 \nL 116.33883 106.770482 \nL 119.70359 109.353915 \nL 122.741422 111.978652 \nL 125.466698 114.596951 \nL 127.898524 117.173603 \nL 130.058883 119.683732 \nL 131.971225 122.110687 \nL 135.147076 126.67859 \nL 137.610518 130.84456 \nL 139.528499 134.617163 \nL 141.691215 139.600206 \nL 146.153663 150.665968 \nL 147.173892 152.479838 \nL 148.316475 154.082063 \nL 149.627969 155.470384 \nL 151.156628 156.634653 \nL 152.954371 157.55569 \nL 155.078266 158.20361 \nL 157.591298 158.535567 \nL 160.562043 158.492976 \nL 164.062469 157.998392 \nL 166.033528 157.551543 \nL 168.162689 156.952762 \nL 170.456773 156.186122 \nL 172.920843 155.234439 \nL 175.557439 154.07955 \nL 178.365635 152.702794 \nL 181.339893 151.085728 \nL 184.468729 149.211174 \nL 187.733175 147.064642 \nL 191.105136 144.636223 \nL 194.545699 141.922916 \nL 198.003592 138.931435 \nL 201.414008 135.681316 \nL 204.698159 132.208091 \nL 207.763886 128.566092 \nL 210.507815 124.830279 \nL 212.819372 121.096372 \nL 214.586855 117.478462 \nL 215.705468 114.103521 \nL 216.086689 111.102659 \nL 215.667975 108.59958 \nL 214.421253 106.697679 \nL 212.358592 105.467875 \nL 209.533656 104.939614 \nL 206.038308 105.097158 \nL 201.994617 105.88213 \nL 197.543652 107.201993 \nL 192.832967 108.942516 \nL 188.004868 110.981669 \nL 183.187081 113.202379 \nL 173.987266 117.798759 \nL 165.811293 122.163358 \nL 158.904873 126.049826 \nL 153.279885 129.437238 \nL 148.816541 132.414453 \nL 145.338282 135.097727 \nL 142.657077 137.58842 \nL 140.597007 139.958953 \nL 139.00438 142.253604 \nL 137.750246 144.495019 \nL 136.278248 147.773163 \nL 132.604778 156.919774 \nL 131.616912 158.787456 \nL 130.474857 160.589704 \nL 129.134628 162.324122 \nL 127.547637 163.986503 \nL 125.65888 165.568884 \nL 123.405474 167.056718 \nL 120.715795 168.424811 \nL 117.509775 169.631455 \nL 113.701312 170.610133 \nL 111.544018 170.983686 \nL 109.204477 171.258161 \nL 106.674034 171.412681 \nL 103.946152 171.422156 \nL 101.017431 171.256772 \nL 97.888916 170.881572 \nL 94.56769 170.256221 \nL 91.068787 169.335107 \nL 87.417388 168.067968 \nL 83.651206 166.40127 \nL 79.822881 164.280638 \nL 76.002076 161.654598 \nL 72.276846 158.479825 \nL 68.753636 154.727969 \nL 65.555296 150.393728 \nL 62.816374 145.503438 \nL 60.675338 140.122828 \nL 59.263763 134.36209 \nL 58.693368 128.376231 \nL 59.042587 122.358887 \nL 60.345072 116.529067 \nL 62.582679 111.111712 \nL 65.684839 106.315121 \nL 69.534872 102.309293 \nL 73.982199 99.20953 \nL 78.857957 97.068347 \nL 83.991033 95.876556 \nL 89.221792 95.572268 \nL 94.411826 96.054908 \nL 99.449227 97.20101 \nL 104.249883 98.878828 \nL 108.755828 100.960092 \nL 112.931842 103.328083 \nL 116.761282 105.88216 \nL 120.241902 108.539444 \nL 123.382068 111.234394 \nL 126.197569 113.917186 \nL 128.709057 116.55142 \nL 130.940081 119.111687 \nL 132.915614 121.581253 \nL 136.201082 126.212878 \nL 138.760194 130.416845 \nL 140.768578 134.205511 \nL 143.072674 139.178228 \nL 146.504731 146.986162 \nL 147.601833 149.053161 \nL 148.780797 150.878562 \nL 150.095687 152.466647 \nL 151.598918 153.813294 \nL 153.343729 154.905115 \nL 155.386052 155.718171 \nL 157.785605 156.216222 \nL 160.605858 156.348525 \nL 163.912293 156.047408 \nL 165.767824 155.707999 \nL 167.767955 155.226164 \nL 169.918778 154.587994 \nL 172.224842 153.778497 \nL 174.688506 152.781844 \nL 177.309154 151.581764 \nL 180.082243 150.162133 \nL 182.998188 148.507831 \nL 186.041097 146.605895 \nL 189.187395 144.447042 \nL 192.404407 142.027547 \nL 195.649043 139.351511 \nL 198.866741 136.433397 \nL 201.990933 133.300662 \nL 204.943318 129.99617 \nL 207.635286 126.579997 \nL 209.970794 123.129992 \nL 211.850878 119.740544 \nL 213.179823 116.519007 \nL 213.872637 113.579463 \nL 213.863147 111.034088 \nL 213.111677 108.982846 \nL 211.610991 107.502995 \nL 209.389332 106.640227 \nL 206.509689 106.40323 \nL 203.065158 106.762963 \nL 199.171002 107.656968 \nL 194.95472 108.99779 \nL 190.545734 110.683844 \nL 186.066215 112.610633 \nL 177.308983 116.809172 \nL 169.317198 120.995731 \nL 162.421399 124.849688 \nL 156.712493 128.277655 \nL 152.130386 131.318182 \nL 148.538391 134.060303 \nL 145.773056 136.594505 \nL 143.672816 138.991462 \nL 142.092217 141.297636 \nL 140.907382 143.538809 \nL 140.016608 145.726035 \nL 139.058502 148.908663 \nL 138.186307 152.950515 \nL 136.56373 161.080216 \nL 135.853168 163.494066 \nL 134.943988 165.777365 \nL 134.187559 167.235067 \nL 133.276861 168.647084 \nL 132.176244 170.018035 \nL 130.842613 171.351283 \nL 129.223732 172.647671 \nL 127.256407 173.903543 \nL 124.864672 175.107591 \nL 121.958355 176.235937 \nL 118.432681 177.244523 \nL 114.170298 178.057644 \nL 111.724257 178.354602 \nL 109.04814 178.551214 \nL 106.128259 178.620633 \nL 102.95335 178.529786 \nL 99.516049 178.238414 \nL 95.814848 177.698195 \nL 91.856571 176.852109 \nL 87.659449 175.634301 \nL 83.256748 173.970796 \nL 78.700813 171.781528 \nL 74.067241 168.984265 \nL 69.458538 165.501017 \nL 65.006415 161.267384 \nL 60.871444 156.244927 \nL 57.238683 150.435852 \nL 54.307929 143.898192 \nL 52.278051 136.758332 \nL 51.326077 129.216716 \nL 51.583727 121.542435 \nL 53.115819 114.054193 \nL 55.905891 107.088385 \nL 59.853425 100.95937 \nL 64.784435 95.920423 \nL 70.473235 92.134557 \nL 76.670283 89.661518 \nL 83.12971 88.46257 \nL 89.63126 88.419504 \nL 95.993913 89.361473 \nL 102.081115 91.092786 \nL 107.799366 93.416561 \nL 113.09269 96.151632 \nL 117.935294 99.142346 \nL 122.324095 102.262407 \nL 126.272072 105.414392 \nL 129.802872 108.526769 \nL 132.946669 111.54967 \nL 135.737141 114.450454 \nL 140.398272 119.817122 \nL 144.060492 124.569084 \nL 146.974007 128.725592 \nL 154.10007 139.311403 \nL 155.85826 141.388155 \nL 157.687318 143.093195 \nL 159.665371 144.432946 \nL 160.731427 144.964333 \nL 161.85885 145.401004 \nL 163.054408 145.740177 \nL 164.324267 145.978314 \nL 165.673936 146.111134 \nL 167.108184 146.133663 \nL 168.630901 146.040304 \nL 170.244929 145.824915 \nL 171.951828 145.480966 \nL 173.75159 145.001703 \nL 175.64231 144.380416 \nL 177.619782 143.610748 \nL 179.677063 142.687121 \nL 181.803996 141.605238 \nL 183.986711 140.362725 \nL 186.207133 138.959833 \nL 188.442574 137.400283 \nL 190.665389 135.692118 \nL 192.842855 133.848611 \nL 194.937291 131.889058 \nL 196.906528 129.839416 \nL 198.704806 127.732596 \nL 200.284148 125.608331 \nL 201.59626 123.512421 \nL 202.594872 121.495284 \nL 203.23844 119.609778 \nL 203.493002 117.908374 \nL 203.334911 116.439875 \nL 202.753126 115.245967 \nL 201.750747 114.358112 \nL 200.345556 113.795082 \nL 198.56938 113.56164 \nL 196.466364 113.648498 \nL 194.090261 114.033618 \nL 191.501124 114.684634 \nL 188.761753 115.562036 \nL 185.934288 116.622658 \nL 180.243414 119.121854 \nL 174.818718 121.874885 \nL 169.926862 124.660244 \nL 165.713777 127.350233 \nL 162.229607 129.890914 \nL 159.459845 132.273578 \nL 157.353155 134.510095 \nL 155.84233 136.616564 \nL 154.858336 138.60468 \nL 154.33882 140.478442 \nL 154.232652 142.233812 \nL 154.501901 143.859563 \nL 155.122211 145.338298 \nL 156.082275 146.64708 \nL 157.382763 147.757506 \nL 159.034881 148.635223 \nL 161.05849 149.23897 \nL 163.479561 149.519406 \nL 166.326507 149.418023 \nL 169.624749 148.866786 \nL 173.388632 147.789389 \nL 175.443858 147.028283 \nL 177.609748 146.105744 \nL 179.879061 145.012751 \nL 182.240886 143.741674 \nL 184.679923 142.287038 \nL 187.175768 140.646455 \nL 189.702226 138.821709 \nL 192.226758 136.819993 \nL 194.71014 134.655153 \nL 197.106465 132.34892 \nL 199.363601 129.931922 \nL 201.424257 127.444267 \nL 203.227757 124.935528 \nL 204.712559 122.463807 \nL 205.819499 120.093796 \nL 206.495586 117.89368 \nL 206.698036 115.931039 \nL 206.398133 114.268048 \nL 205.58443 112.956461 \nL 204.264729 112.033157 \nL 202.466543 111.516833 \nL 200.235765 111.406499 \nL 197.633738 111.682085 \nL 194.732995 112.306984 \nL 191.612315 113.232201 \nL 188.351682 114.401397 \nL 185.027732 115.755984 \nL 178.459151 118.801849 \nL 172.343947 122.000363 \nL 166.949254 125.11666 \nL 162.392803 128.040948 \nL 158.684903 130.749239 \nL 155.770861 133.261877 \nL 153.564363 135.613288 \nL 151.970142 137.834901 \nL 150.897708 139.948091 \nL 150.268704 141.963008 \nL 150.020155 143.880106 \nL 150.105278 145.692383 \nL 150.493 147.387331 \nL 151.166879 148.948173 \nL 152.123881 150.35429 \nL 153.373198 151.580925 \nL 154.935151 152.598217 \nL 156.840092 153.369667 \nL 159.127059 153.850165 \nL 161.841756 153.983702 \nL 165.033209 153.701086 \nL 168.74814 152.918323 \nL 170.813699 152.309073 \nL 173.021694 151.536821 \nL 175.372331 150.587631 \nL 177.862902 149.447529 \nL 180.486938 148.1031 \nL 183.23323 146.542291 \nL 186.084751 144.755484 \nL 189.017534 142.73684 \nL 191.999551 140.485944 \nL 194.989725 138.009693 \nL 197.937247 135.324352 \nL 200.781367 132.457598 \nL 203.451924 129.450281 \nL 205.870832 126.357566 \nL 207.954763 123.249019 \nL 209.619107 120.207166 \nL 210.783166 117.324222 \nL 211.376248 114.696807 \nL 211.34414 112.418922 \nL 210.655086 110.57379 \nL 209.304339 109.225733 \nL 207.316418 108.413356 \nL 204.744452 108.145418 \nL 201.666555 108.400211 \nL 198.179633 109.128753 \nL 194.391617 110.26107 \nL 190.413266 111.714526 \nL 186.350698 113.402514 \nL 178.340752 117.160703 \nL 170.943559 121.00899 \nL 164.487853 124.639497 \nL 159.091118 127.937065 \nL 154.729225 130.908017 \nL 151.300118 133.612736 \nL 148.669465 136.12136 \nL 146.698808 138.492051 \nL 145.260762 140.764424 \nL 144.245892 142.960771 \nL 143.564676 145.090267 \nL 143.146805 147.153471 \nL 142.939249 149.146002 \nL 142.903893 151.061141 \nL 143.120904 153.772232 \nL 143.627557 156.26687 \nL 144.124775 157.797275 \nL 144.759363 159.212213 \nL 145.547575 160.502335 \nL 146.512714 161.656039 \nL 147.685561 162.658297 \nL 149.105081 163.489125 \nL 150.819317 164.121615 \nL 152.886333 164.519396 \nL 155.374938 164.633372 \nL 158.364717 164.397596 \nL 161.94456 163.724371 \nL 166.208252 162.498958 \nL 168.624984 161.634799 \nL 171.244878 160.575218 \nL 174.075359 159.296935 \nL 177.120603 157.775102 \nL 180.380156 155.983947 \nL 183.847256 153.897805 \nL 187.506796 151.492684 \nL 191.333015 148.748461 \nL 195.286933 145.651844 \nL 199.31378 142.200121 \nL 203.340637 138.405681 \nL 207.274809 134.301005 \nL 211.003464 129.943655 \nL 214.3953 125.420366 \nL 217.304925 120.849072 \nL 219.580551 116.377413 \nL 221.075098 112.176378 \nL 221.660102 108.428323 \nL 221.240906 105.309688 \nL 219.770697 102.970447 \nL 217.260395 101.513801 \nL 213.781817 100.980738 \nL 209.462628 101.343422 \nL 204.473562 102.509626 \nL 199.010326 104.33736 \nL 193.273816 106.656075 \nL 187.452333 109.289501 \nL 176.171847 114.878846 \nL 161.59271 122.553805 \nL 150.592549 128.545763 \nL 145.097656 131.731158 \nL 140.803315 134.483003 \nL 137.456857 136.962919 \nL 134.824866 139.285013 \nL 132.705032 141.518224 \nL 130.927866 143.697078 \nL 127.126808 148.948686 \nL 124.790576 151.92111 \nL 123.046633 153.79391 \nL 121.075933 155.553475 \nL 118.816241 157.170837 \nL 116.207763 158.607861 \nL 113.193814 159.812847 \nL 111.518635 160.307129 \nL 109.723975 160.715029 \nL 107.805592 161.023675 \nL 105.760716 161.218202 \nL 103.588532 161.281585 \nL 101.29078 161.194528 \nL 98.872458 160.935453 \nL 96.342634 160.480626 \nL 93.715342 159.804501 \nL 91.010552 158.880314 \nL 88.255105 157.681059 \nL 85.483584 156.180874 \nL 82.738927 154.356942 \nL 80.072677 152.191877 \nL 77.544609 149.676595 \nL 75.221584 146.813494 \nL 73.175437 143.61965 \nL 71.479768 140.129655 \nL 70.205742 136.3975 \nL 69.417076 132.49697 \nL 69.164713 128.519986 \nL 69.4818 124.572668 \nL 70.379746 120.769126 \nL 71.846032 117.223582 \nL 73.844262 114.041779 \nL 76.316563 111.312837 \nL 79.188012 109.102865 \nL 82.372433 107.451109 \nL 85.778733 106.369173 \nL 89.316884 105.843006 \nL 92.902937 105.837128 \nL 96.462633 106.300188 \nL 99.93355 107.170861 \nL 103.26589 108.38337 \nL 106.422201 109.872125 \nL 109.376365 111.575197 \nL 112.112146 113.436572 \nL 114.621553 115.407418 \nL 116.90322 117.446479 \nL 118.960885 119.519869 \nL 120.80206 121.600501 \nL 122.436895 123.667285 \nL 123.877244 125.704274 \nL 125.13592 127.699798 \nL 127.160866 131.536446 \nL 128.614173 135.141555 \nL 129.588192 138.50705 \nL 130.160476 141.64044 \nL 130.392109 144.557115 \nL 130.327795 147.275608 \nL 129.9968 149.814723 \nL 129.414211 152.19178 \nL 128.582147 154.421448 \nL 127.490767 156.514825 \nL 126.119005 158.478411 \nL 124.435087 160.312771 \nL 122.396997 162.010523 \nL 119.953162 163.5534 \nL 117.043884 164.907916 \nL 115.394505 165.498459 \nL 113.604304 166.01929 \nL 111.665313 166.458892 \nL 109.570204 166.803276 \nL 107.312762 167.035632 \nL 104.888501 167.135962 \nL 102.295435 167.080758 \nL 99.535038 166.842741 \nL 96.613399 166.390743 \nL 93.542583 165.689836 \nL 90.342178 164.701786 \nL 87.040957 163.386033 \nL 83.67855 161.701321 \nL 80.306947 159.608178 \nL 76.991552 157.072351 \nL 73.811436 154.069254 \nL 70.85838 150.58929 \nL 68.234277 146.643668 \nL 66.046574 142.270027 \nL 64.401676 137.536807 \nL 63.396594 132.54518 \nL 63.10964 127.427327 \nL 63.591446 122.340209 \nL 64.857827 117.454893 \nL 66.886037 112.942417 \nL 69.615351 108.95826 \nL 72.952128 105.628075 \nL 76.778534 103.037152 \nL 80.963366 101.225391 \nL 85.373101 100.188131 \nL 89.881543 99.88211 \nL 94.376974 100.234776 \nL 98.766423 101.154954 \nL 102.977226 102.54308 \nL 106.956515 104.299783 \nL 110.669259 106.332137 \nL 114.0956 108.55764 \nL 117.227942 110.906115 \nL 120.068159 113.32006 \nL 122.625117 115.753957 \nL 124.912592 118.172967 \nL 126.947574 120.551338 \nL 128.748948 122.870796 \nL 130.336478 125.119024 \nL 132.949139 129.374636 \nL 134.937475 133.293832 \nL 136.437311 136.88385 \nL 137.564277 140.167205 \nL 138.758487 144.579687 \nL 139.568087 148.462659 \nL 141.908771 160.889678 \nL 142.627765 162.97392 \nL 143.552547 164.796824 \nL 144.323071 165.862659 \nL 145.250899 166.801046 \nL 146.371862 167.60035 \nL 147.729223 168.243259 \nL 149.375235 168.705 \nL 151.372743 168.950836 \nL 153.796655 168.932686 \nL 156.734874 168.584611 \nL 160.287936 167.817107 \nL 164.56596 166.51036 \nL 169.680523 164.50749 \nL 172.582846 163.184708 \nL 175.727612 161.610466 \nL 179.119215 159.754281 \nL 182.756003 157.584609 \nL 186.628004 155.07031 \nL 190.71421 152.182866 \nL 194.979451 148.899512 \nL 199.371023 145.207467 \nL 203.815337 141.109261 \nL 208.215099 136.629041 \nL 212.447694 131.81936 \nL 216.365736 126.767507 \nL 219.800825 121.59993 \nL 222.571453 116.482781 \nL 224.495667 111.616513 \nL 225.408095 107.222863 \nL 225.179705 103.523947 \nL 223.737255 100.715503 \nL 221.078295 98.938749 \nL 217.27761 98.257353 \nL 212.482561 98.645898 \nL 206.897358 99.993699 \nL 200.759381 102.123514 \nL 194.312804 104.82017 \nL 187.784891 107.861794 \nL 175.215311 114.21022 \nL 141.408599 131.961974 \nL 136.820417 134.610631 \nL 133.23481 136.953737 \nL 130.386591 139.125074 \nL 128.050502 141.201502 \nL 125.109085 144.207136 \nL 121.513638 148.006925 \nL 119.62001 149.776236 \nL 117.554319 151.419556 \nL 115.250937 152.898947 \nL 112.654556 154.167568 \nL 109.720865 155.166707 \nL 108.117431 155.542756 \nL 106.419824 155.822253 \nL 104.627571 155.992997 \nL 102.742096 156.041496 \nL 100.76712 155.952998 \nL 98.709123 155.711579 \nL 96.57785 155.30039 \nL 94.386841 154.702001 \nL 92.153958 153.898971 \nL 89.901857 152.874613 \nL 87.658345 151.614009 \nL 85.456554 150.105284 \nL 83.334835 148.341112 \nL 81.33626 146.320403 \nL 79.507675 144.050061 \nL 77.898227 141.546645 \nL 76.557318 138.837723 \nL 75.532099 135.962628 \nL 74.864588 132.972401 \nL 74.588685 129.928675 \nL 74.727388 126.90139 \nL 75.290534 123.965418 \nL 76.27343 121.19634 \nL 77.65658 118.665784 \nL 79.406612 116.436841 \nL 81.478321 114.560228 \nL 83.817571 113.071502 \nL 86.364706 111.989784 \nL 89.05806 111.317896 \nL 91.837199 111.043892 \nL 94.645605 111.143503 \nL 97.432677 111.583202 \nL 100.154957 112.323417 \nL 102.776676 113.321529 \nL 105.26974 114.53446 \nL 107.613279 115.920709 \nL 109.792925 117.441792 \nL 111.799928 119.063131 \nL 113.630229 120.754508 \nL 115.28355 122.490123 \nL 116.762552 124.24844 \nL 118.072079 126.011842 \nL 119.218506 127.766202 \nL 120.20919 129.50043 \nL 121.755054 132.876543 \nL 122.773097 136.095415 \nL 123.321665 139.135129 \nL 123.449248 141.98766 \nL 123.192168 144.652434 \nL 122.57384 147.131646 \nL 121.605004 149.42679 \nL 120.284584 151.535816 \nL 118.601011 153.450473 \nL 116.534074 155.153472 \nL 115.348791 155.916933 \nL 114.057554 156.615207 \nL 112.656788 157.242028 \nL 111.143126 157.789823 \nL 109.513668 158.249577 \nL 107.766264 158.610674 \nL 105.899895 158.860757 \nL 103.9151 158.985628 \nL 101.814485 158.969179 \nL 99.603327 158.793417 \nL 97.290243 158.438584 \nL 94.88792 157.883471 \nL 92.413897 157.105905 \nL 89.89132 156.083542 \nL 87.349632 154.794957 \nL 84.825087 153.221134 \nL 82.360958 151.347312 \nL 80.007329 149.1652 \nL 77.820277 146.675441 \nL 75.860351 143.89012 \nL 74.190218 140.835064 \nL 72.871556 137.551531 \nL 71.961235 134.096868 \nL 71.507141 130.543741 \nL 71.544075 126.977683 \nL 72.090222 123.492883 \nL 73.144763 120.186512 \nL 74.687053 117.152149 \nL 76.677563 114.47314 \nL 79.060541 112.216793 \nL 81.768023 110.430165 \nL 84.724634 109.13803 \nL 87.852554 108.343073 \nL 91.076051 108.028078 \nL 94.325168 108.159608 \nL 97.538308 108.69243 \nL 100.663733 109.574128 \nL 103.660053 110.749296 \nL 106.495944 112.163009 \nL 109.149331 113.763461 \nL 111.606224 115.503645 \nL 113.859444 117.342325 \nL 115.907321 119.244354 \nL 117.75249 121.180543 \nL 119.400799 123.12724 \nL 120.860383 125.06573 \nL 122.140876 126.981566 \nL 123.252784 128.86391 \nL 125.014246 132.499087 \nL 126.229454 135.934439 \nL 126.974555 139.157737 \nL 127.312651 142.171053 \nL 127.291966 144.983884 \nL 126.945569 147.608608 \nL 126.291943 150.057458 \nL 125.335914 152.34038 \nL 124.069684 154.463244 \nL 122.47388 156.426011 \nL 120.518708 158.220577 \nL 118.16544 159.827878 \nL 115.368692 161.214002 \nL 113.7889 161.80822 \nL 112.080227 162.325012 \nL 110.237246 162.753429 \nL 108.25536 163.080396 \nL 106.131261 163.290463 \nL 103.863486 163.365586 \nL 101.453113 163.284949 \nL 98.904568 163.024907 \nL 96.226593 162.559034 \nL 93.433313 161.858435 \nL 90.545414 160.892351 \nL 87.591339 159.629171 \nL 84.608402 158.037994 \nL 81.643674 156.090767 \nL 78.75444 153.765109 \nL 76.00795 151.047744 \nL 73.480227 147.93841 \nL 71.25368 144.453895 \nL 69.413339 140.631679 \nL 68.041778 136.532487 \nL 67.212998 132.240954 \nL 66.985832 127.863736 \nL 67.397753 123.524626 \nL 68.460052 119.356787 \nL 70.155317 115.49284 \nL 72.437805 112.054121 \nL 75.236794 109.140723 \nL 78.462425 106.823921 \nL 82.013122 105.142085 \nL 85.783412 104.100501 \nL 89.671074 103.67466 \nL 93.582827 103.816148 \nL 97.438154 104.459824 \nL 101.171256 105.531151 \nL 104.731416 106.952731 \nL 108.082179 108.649478 \nL 111.199763 110.55227 \nL 114.071117 112.600123 \nL 116.691876 114.741134 \nL 119.06444 116.932537 \nL 121.196246 119.140116 \nL 123.0983 121.337283 \nL 124.783973 123.503997 \nL 126.268034 125.625663 \nL 127.565891 127.69211 \nL 129.66454 131.635454 \nL 131.197659 135.309793 \nL 132.269514 138.716749 \nL 132.967207 141.871598 \nL 133.359938 144.795867 \nL 133.499881 147.513037 \nL 133.423788 150.046161 \nL 133.154773 152.416632 \nL 132.703951 154.643576 \nL 132.071734 156.743594 \nL 131.248735 158.730567 \nL 130.216236 160.615445 \nL 128.946261 162.40577 \nL 127.401324 164.104812 \nL 125.533966 165.710053 \nL 123.286284 167.210761 \nL 120.589819 168.584188 \nL 117.366414 169.789887 \nL 115.530678 170.310392 \nL 113.531107 170.761462 \nL 111.357103 171.128879 \nL 108.998807 171.395185 \nL 106.447717 171.539171 \nL 103.697505 171.535323 \nL 100.745085 171.353318 \nL 97.591933 170.957608 \nL 94.245736 170.307199 \nL 90.722348 169.355795 \nL 87.048019 168.05247 \nL 83.26182 166.343138 \nL 79.41805 164.173099 \nL 75.588323 161.490926 \nL 71.862847 158.253908 \nL 68.350303 154.435069 \nL 65.175625 150.031405 \nL 62.475004 145.07254 \nL 60.387744 139.628444 \nL 59.0451 133.814204 \nL 58.55707 127.789841 \nL 58.998878 121.753466 \nL 60.399697 115.927162 \nL 62.736087 110.536945 \nL 65.932048 105.789822 \nL 69.866051 101.852229 \nL 74.38385 98.834196 \nL 79.314444 96.782082 \nL 84.486144 95.680598 \nL 89.740085 95.462546 \nL 94.939602 96.023371 \nL 99.975089 97.237067 \nL 104.764919 98.970774 \nL 109.253513 101.096211 \nL 113.407778 103.49743 \nL 117.212861 106.075052 \nL 120.667947 108.747668 \nL 123.782504 111.451228 \nL 126.57314 114.137293 \nL 129.061092 116.77068 \nL 131.270309 119.327002 \nL 133.226019 121.790358 \nL 136.478302 126.405222 \nL 139.013022 130.589415 \nL 141.005488 134.35723 \nL 143.30029 139.298447 \nL 146.759645 147.042982 \nL 147.878477 149.087307 \nL 149.085611 150.888157 \nL 150.435489 152.448894 \nL 151.981064 153.76428 \nL 153.776221 154.819553 \nL 155.877552 155.589096 \nL 158.345296 156.034635 \nL 161.243054 156.103034 \nL 162.873509 155.974548 \nL 164.635647 155.723933 \nL 166.536934 155.339392 \nL 168.584052 154.807909 \nL 170.782468 154.115321 \nL 173.13588 153.246488 \nL 175.645536 152.185575 \nL 178.309391 150.916527 \nL 181.121115 149.423735 \nL 184.068931 147.692994 \nL 187.134323 145.712768 \nL 190.29067 143.475827 \nL 193.501864 140.981234 \nL 196.721106 138.23669 \nL 199.890023 135.261078 \nL 202.938425 132.086997 \nL 205.784958 128.762982 \nL 208.339015 125.354844 \nL 210.504143 121.945649 \nL 212.183098 118.633705 \nL 213.284403 115.528096 \nL 213.730031 112.741672 \nL 213.463313 110.381865 \nL 212.455999 108.540353 \nL 210.713195 107.28314 \nL 208.275093 106.642883 \nL 205.214879 106.615097 \nL 201.632951 107.159196 \nL 197.648289 108.204248 \nL 193.388414 109.658253 \nL 188.979516 111.419138 \nL 184.538096 113.385364 \nL 175.942144 117.579568 \nL 168.176332 121.695906 \nL 161.523744 125.459767 \nL 156.045282 128.805454 \nL 151.666027 131.782386 \nL 148.244705 134.480013 \nL 145.619084 136.984613 \nL 143.631644 139.361638 \nL 142.142003 141.653048 \nL 141.031441 143.881383 \nL 140.203033 146.055627 \nL 139.325282 149.216145 \nL 138.553803 153.221658 \nL 137.071847 162.045763 \nL 136.481785 164.36676 \nL 135.723529 166.557531 \nL 134.72737 168.635685 \nL 133.887824 169.96792 \nL 132.869694 171.26391 \nL 131.632163 172.5281 \nL 130.125432 173.76297 \nL 128.288849 174.967363 \nL 126.048944 176.133791 \nL 123.317623 177.244134 \nL 119.991073 178.262901 \nL 115.950482 179.126851 \nL 113.622198 179.469733 \nL 111.066672 179.729486 \nL 108.268121 179.882413 \nL 105.212327 179.898956 \nL 101.887896 179.742651 \nL 98.287952 179.369077 \nL 94.412368 178.72491 \nL 90.270595 177.747303 \nL 85.885149 176.363875 \nL 81.295697 174.493748 \nL 76.563562 172.050175 \nL 71.776225 168.945451 \nL 67.051065 165.098726 \nL 62.537245 160.447199 \nL 58.414239 154.960569 \nL 54.885408 148.657642 \nL 52.16531 141.622581 \nL 50.460438 134.016815 \nL 49.944903 126.081677 \nL 50.734779 118.127383 \nL 52.866661 110.506492 \nL 56.286385 103.574585 \nL 60.851896 97.645607 \nL 66.350496 92.952197 \nL 72.526479 89.620528 \nL 79.112413 87.664742 \nL 85.857097 87.000052 \nL 92.545491 87.468692 \nL 99.008938 88.870835 \nL 105.126854 90.993501 \nL 110.822404 93.632985 \nL 116.055038 96.609295 \nL 120.812124 99.77319 \nL 125.101166 103.007535 \nL 128.943283 106.224978 \nL 132.368135 109.363684 \nL 135.410194 112.382443 \nL 138.106094 115.255936 \nL 142.606604 120.521024 \nL 146.15163 125.134414 \nL 150.217511 130.921222 \nL 154.335611 136.823722 \nL 156.176825 139.108963 \nL 158.025465 140.993917 \nL 159.970565 142.494583 \nL 162.085674 143.613684 \nL 163.226398 144.027488 \nL 164.431423 144.341172 \nL 165.706453 144.551608 \nL 167.056376 144.655007 \nL 168.485184 144.646973 \nL 169.995829 144.522607 \nL 171.590051 144.276611 \nL 173.268149 143.903473 \nL 176.868321 142.753955 \nL 180.75859 141.035255 \nL 182.78889 139.954635 \nL 184.856693 138.725928 \nL 186.942711 137.35206 \nL 189.02344 135.839495 \nL 191.071023 134.198969 \nL 193.053312 132.446172 \nL 194.934188 130.602308 \nL 196.674211 128.694425 \nL 198.231663 126.755409 \nL 199.563979 124.823531 \nL 200.629583 122.94147 \nL 201.390043 121.15473 \nL 201.812399 119.509541 \nL 201.871514 118.05029 \nL 201.55215 116.816743 \nL 200.850587 115.841325 \nL 199.775489 115.146821 \nL 198.347921 114.74475 \nL 196.60041 114.63474 \nL 194.575158 114.80495 \nL 192.3216 115.233487 \nL 189.893555 115.89061 \nL 187.346304 116.741442 \nL 182.106688 118.875593 \nL 176.982601 121.353368 \nL 172.256756 123.949695 \nL 168.104824 126.517439 \nL 164.609629 128.979355 \nL 161.785842 131.306754 \nL 159.605154 133.497432 \nL 158.016971 135.558965 \nL 156.963359 137.498548 \nL 156.388741 139.318096 \nL 156.245608 141.012623 \nL 156.4974 142.570275 \nL 157.119539 143.972892 \nL 158.099268 145.196478 \nL 159.434718 146.211269 \nL 161.133359 146.981436 \nL 163.209806 147.464427 \nL 165.682733 147.61032 \nL 168.570482 147.361509 \nL 171.884743 146.653512 \nL 175.621632 145.417888 \nL 179.74951 143.588768 \nL 181.938825 142.434573 \nL 184.193438 141.114832 \nL 186.494284 139.628536 \nL 188.817378 137.97838 \nL 191.13342 136.171747 \nL 193.407574 134.221706 \nL 195.599539 132.147929 \nL 197.664009 129.977444 \nL 199.55159 127.745032 \nL 201.210289 125.49313 \nL 202.587567 123.271046 \nL 203.632941 121.133386 \nL 204.301001 119.137627 \nL 204.554619 117.340939 \nL 204.368018 115.796445 \nL 203.729369 114.549335 \nL 202.642516 113.633297 \nL 201.127522 113.067786 \nL 199.21992 112.856544 \nL 196.968648 112.987687 \nL 194.432951 113.435292 \nL 191.678585 114.162299 \nL 188.773791 115.124184 \nL 185.785524 116.272947 \nL 179.801601 118.943506 \nL 174.136211 121.843945 \nL 169.060507 124.744674 \nL 164.714827 127.520549 \nL 161.13872 130.125276 \nL 158.305861 132.558646 \nL 156.154 134.839677 \nL 154.606805 136.989666 \nL 153.588047 139.023781 \nL 153.029899 140.948324 \nL 152.877168 142.760919 \nL 153.088951 144.451834 \nL 153.638777 146.005272 \nL 154.513938 147.400189 \nL 155.714403 148.610489 \nL 157.251505 149.604544 \nL 159.146372 150.344165 \nL 161.427913 150.783187 \nL 164.129962 150.865906 \nL 167.286959 150.525846 \nL 170.927313 149.685583 \nL 172.933595 149.051152 \nL 175.063356 148.258948 \nL 177.313227 147.297892 \nL 179.676719 146.157548 \nL 182.143472 144.828744 \nL 184.698443 143.304422 \nL 187.321069 141.58064 \nL 189.984464 139.657808 \nL 192.654708 137.542055 \nL 195.29038 135.246717 \nL 197.842417 132.793797 \nL 200.254527 130.215219 \nL 202.464236 127.553675 \nL 204.40479 124.86275 \nL 206.007904 122.206049 \nL 207.207436 119.655099 \nL 207.943701 117.285906 \nL 208.168175 115.174236 \nL 207.848019 113.390015 \nL 206.969865 111.991443 \nL 205.542202 111.019674 \nL 203.595914 110.494898 \nL 201.18273 110.414601 \nL 198.371725 110.754355 \nL 195.2443 111.470959 \nL 191.888358 112.507483 \nL 188.39246 113.799264 \nL 184.840638 115.279956 \nL 177.860014 118.564032 \nL 171.410059 121.957705 \nL 165.761234 125.217839 \nL 161.020378 128.242135 \nL 157.180915 131.020181 \nL 154.170619 133.585666 \nL 151.887593 135.983415 \nL 150.223745 138.25195 \nL 149.078388 140.417185 \nL 148.365107 142.492209 \nL 148.014421 144.479704 \nL 147.974059 146.374851 \nL 148.208023 148.167722 \nL 148.695193 149.844889 \nL 149.427884 151.390124 \nL 150.41061 152.784362 \nL 151.6591 154.005004 \nL 153.199582 155.024657 \nL 155.068164 155.809329 \nL 157.31011 156.316172 \nL 159.978589 156.490778 \nL 163.132282 156.264247 \nL 166.83085 155.550501 \nL 168.901501 154.978914 \nL 171.126899 154.244832 \nL 173.510306 153.332534 \nL 176.052448 152.225678 \nL 178.750631 150.907794 \nL 181.597707 149.362991 \nL 184.58086 147.576963 \nL 187.680283 145.538325 \nL 190.867749 143.240326 \nL 194.105243 140.682929 \nL 197.343731 137.875231 \nL 200.522344 134.838082 \nL 203.568224 131.606656 \nL 206.397359 128.232611 \nL 208.916713 124.785318 \nL 211.027957 121.351577 \nL 212.632863 118.033195 \nL 213.640211 114.942047 \nL 213.973726 112.192516 \nL 213.580107 109.891832 \nL 212.435969 108.129452 \nL 210.552416 106.967155 \nL 207.976188 106.431749 \nL 204.78685 106.511989 \nL 201.090297 107.160505 \nL 197.009582 108.300466 \nL 192.67456 109.835505 \nL 188.211988 111.661082 \nL 183.737409 113.675074 \nL 175.127582 117.919042 \nL 167.397946 122.040527 \nL 160.808307 125.786272 \nL 155.401663 129.106743 \nL 151.091552 132.060415 \nL 147.7303 134.74027 \nL 145.15274 137.232897 \nL 143.200463 139.602682 \nL 141.733278 141.890211 \nL 140.633093 144.116853 \nL 139.803675 146.290796 \nL 138.904112 149.452632 \nL 138.06582 153.463068 \nL 136.622332 160.689077 \nL 135.927052 163.12661 \nL 135.041689 165.431522 \nL 133.885331 167.619816 \nL 132.914362 169.022204 \nL 131.740003 170.384511 \nL 130.31632 171.709388 \nL 128.587659 172.996399 \nL 126.486817 174.239698 \nL 123.933316 175.424371 \nL 120.832218 176.520735 \nL 117.074367 177.475585 \nL 112.53971 178.199152 \nL 109.942682 178.431678 \nL 107.106627 178.546382 \nL 104.019403 178.51239 \nL 100.672239 178.291969 \nL 97.061517 177.83962 \nL 93.191068 177.10135 \nL 89.07504 176.014337 \nL 84.741333 174.507328 \nL 80.235519 172.50218 \nL 75.625003 169.917091 \nL 71.002911 166.672105 \nL 66.490938 162.697451 \nL 62.240008 157.944897 \nL 58.427376 152.40174 \nL 55.2488 146.106039 \nL 52.90487 139.160365 \nL 51.581728 131.740173 \nL 51.428127 124.092486 \nL 52.532769 116.521528 \nL 54.907033 109.360811 \nL 58.47805 102.935418 \nL 63.094852 97.521854 \nL 68.546792 93.314866 \nL 74.589924 90.408688 \nL 80.975175 88.796073 \nL 87.47248 88.383071 \nL 93.887269 89.013938 \nL 100.068335 90.499116 \nL 105.908408 92.640589 \nL 111.339772 95.251115 \nL 116.327334 98.166264 \nL 120.861094 101.250116 \nL 124.949192 104.396031 \nL 128.612087 107.524333 \nL 131.878023 110.578431 \nL 134.779659 113.520385 \nL 137.351676 116.326649 \nL 141.64629 121.48826 \nL 145.029381 126.037828 \nL 148.90859 131.791893 \nL 152.836202 137.741337 \nL 154.593516 140.080866 \nL 156.361048 142.038028 \nL 158.226442 143.627894 \nL 160.263706 144.852676 \nL 161.366906 145.325353 \nL 162.53601 145.701806 \nL 163.777426 145.978748 \nL 165.096941 146.152146 \nL 166.499641 146.217252 \nL 167.989803 146.168653 \nL 169.570732 146.000355 \nL 171.244546 145.705903 \nL 173.011925 145.278547 \nL 174.871778 144.711458 \nL 176.820878 143.998022 \nL 178.85343 143.132224 \nL 180.960607 142.10912 \nL 183.130046 140.925424 \nL 185.34535 139.580194 \nL 187.585631 138.075629 \nL 189.825128 136.417926 \nL 192.03299 134.618192 \nL 194.173277 132.6933 \nL 196.205284 130.666611 \nL 198.084267 128.568424 \nL 199.762624 126.436049 \nL 201.191609 124.313292 \nL 202.323515 122.249291 \nL 203.11429 120.296622 \nL 203.526375 118.508656 \nL 203.531556 116.936411 \nL 203.113493 115.625089 \nL 202.269606 114.610735 \nL 201.012036 113.917464 \nL 199.367482 113.555613 \nL 197.375861 113.52119 \nL 195.087929 113.796683 \nL 192.562128 114.353105 \nL 189.861049 115.152965 \nL 187.047876 116.153715 \nL 181.322602 118.582934 \nL 175.799869 121.319112 \nL 170.772084 124.121059 \nL 166.407139 126.843649 \nL 162.770824 129.421179 \nL 159.858045 131.838872 \nL 157.621931 134.106726 \nL 155.996319 136.241351 \nL 154.911099 138.25601 \nL 154.301671 140.156516 \nL 154.114128 141.940507 \nL 154.307623 143.598213 \nL 154.854972 145.113501 \nL 155.742264 146.464645 \nL 156.967869 147.624506 \nL 158.541077 148.560165 \nL 160.480343 149.232026 \nL 162.810938 149.592644 \nL 165.561615 149.585563 \nL 168.759656 149.144651 \nL 172.423501 148.194854 \nL 174.430872 147.504007 \nL 176.551951 146.65571 \nL 178.78105 145.640406 \nL 181.109116 144.449605 \nL 183.523032 143.076598 \nL 186.004881 141.517291 \nL 188.531226 139.771258 \nL 191.072481 137.842896 \nL 193.592443 135.742711 \nL 196.048099 133.488584 \nL 198.389856 131.106931 \nL 200.5623 128.633524 \nL 202.505631 126.113806 \nL 204.157849 123.602431 \nL 205.457693 121.161797 \nL 206.348242 118.859476 \nL 206.780925 116.764526 \nL 206.719589 114.9429 \nL 206.144107 113.452414 \nL 205.053041 112.337846 \nL 203.464856 111.626955 \nL 201.417448 111.328067 \nL 198.965892 111.429638 \nL 196.178696 111.901973 \nL 193.133053 112.70075 \nL 189.909675 113.771794 \nL 186.587913 115.056331 \nL 179.936085 118.036514 \nL 173.655787 121.24202 \nL 168.054357 124.404262 \nL 163.280633 127.387324 \nL 159.364919 130.151983 \nL 156.263015 132.712453 \nL 153.892348 135.102727 \nL 152.157164 137.356492 \nL 150.964134 139.498158 \nL 150.230961 141.540705 \nL 149.890378 143.486858 \nL 149.891369 145.331349 \nL 150.198873 147.063028 \nL 150.792779 148.666298 \nL 151.666692 150.121776 \nL 152.826728 151.406163 \nL 154.290417 152.491436 \nL 156.085653 153.343483 \nL 158.249502 153.920196 \nL 160.826495 154.169235 \nL 163.865846 154.025647 \nL 167.416714 153.409877 \nL 169.397456 152.895855 \nL 171.520285 152.227116 \nL 173.787032 151.389828 \nL 176.197093 150.369814 \nL 178.746663 149.153024 \nL 181.427818 147.726203 \nL 184.227499 146.07778 \nL 187.126387 144.199061 \nL 190.097749 142.085679 \nL 193.106327 139.739373 \nL 196.107428 137.169966 \nL 199.046336 134.397478 \nL 201.858334 131.45416 \nL 204.469531 128.386115 \nL 206.798755 125.254173 \nL 208.760714 122.133476 \nL 210.270461 119.111455 \nL 211.249048 116.283767 \nL 211.629935 113.748283 \nL 211.365513 111.597404 \nL 210.432794 109.909638 \nL 208.837323 108.741597 \nL 206.614469 108.121901 \nL 203.827677 108.048147 \nL 200.563747 108.487691 \nL 196.925821 109.382133 \nL 193.02518 110.6547 \nL 188.973028 112.219011 \nL 184.873404 113.98777 \nL 176.882502 117.826691 \nL 169.592336 121.676997 \nL 163.28943 125.268599 \nL 158.058802 128.515182 \nL 153.855616 131.439364 \nL 150.566758 134.107803 \nL 148.053412 136.590985 \nL 146.176576 138.944837 \nL 144.810403 141.206165 \nL 143.847884 143.394871 \nL 143.202106 145.518458 \nL 142.805168 147.576528 \nL 142.606035 149.564334 \nL 142.601515 152.39952 \nL 142.88799 155.037495 \nL 143.438441 157.455275 \nL 143.9562 158.933608 \nL 144.607325 160.296509 \nL 145.410073 161.535017 \nL 146.38949 162.637729 \nL 147.577986 163.589588 \nL 149.016162 164.370332 \nL 150.753825 164.952479 \nL 152.851028 165.298705 \nL 155.37888 165.358451 \nL 158.41962 165.063632 \nL 162.065108 164.323492 \nL 166.412231 163.019055 \nL 168.878239 162.109139 \nL 171.552805 160.998549 \nL 174.443476 159.663091 \nL 177.55435 158.076956 \nL 180.884629 156.213408 \nL 184.426826 154.045905 \nL 188.164623 151.549776 \nL 192.070407 148.704583 \nL 196.102593 145.497305 \nL 200.202911 141.926361 \nL 204.293992 138.006411 \nL 208.277755 133.773655 \nL 212.03521 129.291037 \nL 215.428493 124.652382 \nL 218.305854 119.984166 \nL 220.5102 115.443375 \nL 221.8912 111.210022 \nL 222.320224 107.473684 \nL 221.70631 104.414582 \nL 220.010409 102.181627 \nL 217.254841 100.871519 \nL 213.525148 100.513764 \nL 208.96324 101.065723 \nL 203.752631 102.419453 \nL 198.098733 104.41888 \nL 192.208161 106.883041 \nL 186.27088 109.629893 \nL 174.864156 115.348639 \nL 160.281921 123.037262 \nL 149.376921 128.951667 \nL 143.953087 132.08004 \nL 139.719135 134.782649 \nL 136.415959 137.22254 \nL 133.807529 139.511926 \nL 131.690892 141.716879 \nL 129.07611 144.928881 \nL 125.174899 150.036249 \nL 123.49788 151.955807 \nL 121.64089 153.774336 \nL 119.538427 155.464913 \nL 117.129265 156.993336 \nL 114.356019 158.314593 \nL 111.166838 159.36822 \nL 109.402629 159.770192 \nL 107.519968 160.07273 \nL 105.516605 160.261399 \nL 103.392255 160.319771 \nL 101.14916 160.229347 \nL 98.792752 159.969558 \nL 96.332402 159.51794 \nL 93.782258 158.850476 \nL 91.162108 157.942213 \nL 88.498233 156.768198 \nL 85.824158 155.304821 \nL 83.181168 153.531596 \nL 80.618446 151.433384 \nL 78.192672 149.003023 \nL 75.96688 146.244215 \nL 74.008438 143.174392 \nL 72.386079 139.82719 \nL 71.166024 136.254084 \nL 70.407424 132.524612 \nL 70.157541 128.724809 \nL 70.447217 124.953581 \nL 71.287315 121.317082 \nL 72.666729 117.921648 \nL 74.552366 114.866017 \nL 76.89124 112.23401 \nL 79.614373 110.088644 \nL 82.641976 108.468557 \nL 85.88915 107.387024 \nL 89.271379 106.833569 \nL 92.709178 106.777583 \nL 96.131555 107.173196 \nL 99.478149 107.964592 \nL 102.700153 109.091083 \nL 105.760217 110.491445 \nL 108.631654 112.107215 \nL 111.297196 113.884976 \nL 113.747532 115.77766 \nL 115.979827 117.745073 \nL 117.996312 119.75384 \nL 119.803023 121.77696 \nL 121.408712 123.793135 \nL 122.823938 125.786008 \nL 124.060335 127.743386 \nL 126.045129 131.519321 \nL 127.458369 135.080607 \nL 128.386744 138.414892 \nL 128.903278 141.526028 \nL 129.065301 144.426316 \nL 128.914213 147.131591 \nL 128.476168 149.658152 \nL 127.76314 152.020735 \nL 126.77402 154.231077 \nL 125.49559 156.296617 \nL 123.903354 158.219036 \nL 121.962325 159.992338 \nL 119.628021 161.600107 \nL 116.848118 163.011622 \nL 115.273271 163.628987 \nL 113.565471 164.176486 \nL 111.717722 164.643575 \nL 109.723622 165.017489 \nL 107.577794 165.282949 \nL 105.276437 165.421849 \nL 102.817995 165.412998 \nL 100.204013 165.231896 \nL 97.440131 164.850665 \nL 94.537273 164.23815 \nL 91.512964 163.36034 \nL 88.392769 162.181183 \nL 85.211731 160.66398 \nL 82.015671 158.773441 \nL 78.86214 156.478556 \nL 75.820728 153.756301 \nL 72.972394 150.596083 \nL 70.407484 147.004665 \nL 68.222141 143.011015 \nL 66.512983 138.670319 \nL 65.370263 134.066156 \nL 64.870003 129.309857 \nL 65.066092 124.536262 \nL 65.983571 119.89566 \nL 67.61435 115.542558 \nL 69.916345 111.622631 \nL 72.816419 108.259917 \nL 76.216726 105.546435 \nL 80.003371 103.535843 \nL 84.055987 102.242037 \nL 88.256692 101.642366 \nL 92.497357 101.684374 \nL 96.684564 102.294481 \nL 100.742192 103.387063 \nL 104.611937 104.872597 \nL 108.252328 106.664163 \nL 111.636789 108.681969 \nL 114.751233 110.856012 \nL 117.591597 113.127234 \nL 120.161509 115.447456 \nL 122.470246 117.778621 \nL 124.531024 120.091599 \nL 126.359606 122.364843 \nL 127.973204 124.583012 \nL 130.626745 128.816593 \nL 132.631474 132.750824 \nL 134.115374 136.380995 \nL 135.188705 139.721858 \nL 135.94237 142.797139 \nL 136.448672 145.63358 \nL 136.862057 149.497968 \nL 136.970742 152.96542 \nL 136.84969 156.104476 \nL 136.532718 158.971444 \nL 136.021928 161.612588 \nL 135.29274 164.066599 \nL 134.294972 166.366505 \nL 133.443239 167.828267 \nL 132.406817 169.241096 \nL 131.146724 170.610285 \nL 129.614837 171.938523 \nL 127.752296 173.224275 \nL 125.487828 174.459103 \nL 122.736282 175.623398 \nL 119.397968 176.679699 \nL 115.359926 177.562544 \nL 113.040747 177.907241 \nL 110.501217 178.163496 \nL 107.727071 178.307608 \nL 104.705831 178.310231 \nL 101.428057 178.13544 \nL 97.889022 177.739821 \nL 94.090866 177.071693 \nL 90.045298 176.0707 \nL 85.776887 174.668024 \nL 81.326824 172.787634 \nL 76.757005 170.349091 \nL 72.153963 167.272448 \nL 67.631966 163.485855 \nL 63.334219 158.936078 \nL 59.430896 153.601818 \nL 56.112557 147.508589 \nL 53.578 140.742829 \nL 52.016391 133.461681 \nL 51.585253 125.894154 \nL 52.387665 118.330038 \nL 54.453613 111.095345 \nL 57.730463 104.516877 \nL 62.085948 98.882546 \nL 67.323711 94.406311 \nL 73.207883 91.205941 \nL 79.490955 89.297819 \nL 85.938913 88.608144 \nL 92.349498 88.995623 \nL 98.56202 90.278804 \nL 104.459537 92.262108 \nL 109.965549 94.756383 \nL 115.037638 97.592602 \nL 119.660074 100.628864 \nL 123.836755 103.752298 \nL 127.585155 106.877411 \nL 130.931532 109.942545 \nL 133.907314 112.905614 \nL 136.546497 115.739803 \nL 140.953607 120.968461 \nL 144.420786 125.590441 \nL 148.378422 131.451244 \nL 153.218971 138.784026 \nL 154.953852 140.992981 \nL 156.73232 142.829554 \nL 158.636493 144.304139 \nL 160.736323 145.414333 \nL 161.87875 145.828552 \nL 163.091931 146.145017 \nL 164.381958 146.359886 \nL 165.754284 146.468575 \nL 167.213621 146.465799 \nL 168.763806 146.345644 \nL 170.407599 146.101659 \nL 172.146446 145.726998 \nL 173.980174 145.214618 \nL 175.906635 144.55754 \nL 177.92129 143.749182 \nL 180.016745 142.783804 \nL 182.182246 141.657059 \nL 184.403162 140.366638 \nL 186.660483 138.913039 \nL 188.930378 137.300438 \nL 191.183874 135.537595 \nL 193.38674 133.638789 \nL 195.499643 131.624635 \nL 197.478681 129.522717 \nL 199.276389 127.36786 \nL 200.843227 125.201908 \nL 202.129615 123.072843 \nL 203.088453 121.033177 \nL 203.677967 119.13756 \nL 203.864685 117.439733 \nL 203.626241 115.989037 \nL 202.953662 114.826859 \nL 201.852806 113.98342 \nL 200.344719 113.475411 \nL 198.464749 113.304836 \nL 196.260542 113.459232 \nL 193.78905 113.913306 \nL 191.113 114.631635 \nL 188.297179 115.572153 \nL 185.404961 116.68976 \nL 179.621044 119.280536 \nL 174.148452 122.094792 \nL 169.244787 124.916384 \nL 165.044968 127.625631 \nL 161.588955 130.176064 \nL 158.854153 132.564417 \nL 156.78346 134.805857 \nL 155.305928 136.918132 \nL 154.350334 138.913578 \nL 153.853243 140.796313 \nL 153.763176 142.562256 \nL 154.042325 144.200157 \nL 154.666752 145.692705 \nL 155.625762 147.017171 \nL 156.920808 148.145477 \nL 158.56406 149.043651 \nL 160.576612 149.670801 \nL 162.986054 149.977845 \nL 165.822984 149.906251 \nL 169.115777 149.387425 \nL 172.882733 148.343626 \nL 174.944247 147.598956 \nL 177.120574 146.691962 \nL 179.405298 145.612967 \nL 181.788386 144.353534 \nL 184.255444 142.907211 \nL 186.786957 141.270474 \nL 189.357554 139.443831 \nL 191.935373 137.433078 \nL 194.481629 135.250626 \nL 196.950514 132.916833 \nL 199.28952 130.461137 \nL 201.440417 127.922822 \nL 203.340908 125.351167 \nL 204.927116 122.804723 \nL 206.136828 120.349501 \nL 206.913394 118.055976 \nL 207.209959 115.994938 \nL 206.993627 114.232526 \nL 206.248998 112.824931 \nL 204.980556 111.813464 \nL 203.213442 111.220802 \nL 200.992394 111.049063 \nL 198.378882 111.280023 \nL 195.446818 111.877568 \nL 192.277386 112.791883 \nL 188.953687 113.964716 \nL 185.55585 115.334811 \nL 178.820892 118.435346 \nL 172.534176 121.701741 \nL 166.979215 124.883456 \nL 162.281884 127.863259 \nL 158.4544 130.615943 \nL 155.440176 133.164011 \nL 153.149133 135.545216 \nL 151.481588 137.794214 \nL 150.342655 139.935017 \nL 149.649898 141.979796 \nL 149.336676 143.930564 \nL 149.352924 145.781658 \nL 149.664596 147.521878 \nL 150.252513 149.135931 \nL 151.111075 150.605018 \nL 152.247056 151.906694 \nL 153.67857 153.014013 \nL 155.434127 153.894125 \nL 157.551607 154.506358 \nL 160.076817 154.799888 \nL 163.061052 154.711215 \nL 166.556871 154.161851 \nL 168.511693 153.685442 \nL 170.610834 153.057119 \nL 172.857232 152.262758 \nL 175.251623 151.287698 \nL 177.791788 150.117135 \nL 180.471649 148.736733 \nL 183.280244 147.133455 \nL 186.200586 145.296671 \nL 189.20844 143.219583 \nL 192.271117 140.900959 \nL 195.346391 138.347158 \nL 198.381701 135.57434 \nL 201.313871 132.610699 \nL 204.069597 129.49843 \nL 206.566983 126.295015 \nL 208.718326 123.073415 \nL 210.434348 119.920601 \nL 211.629735 116.934074 \nL 212.229735 114.216198 \nL 212.177133 111.866561 \nL 211.438728 109.97313 \nL 210.010245 108.603384 \nL 207.918702 107.796969 \nL 205.221609 107.561288 \nL 202.002879 107.871026 \nL 198.365998 108.671843 \nL 194.425531 109.887457 \nL 190.298265 111.42879 \nL 186.095238 113.20348 \nL 177.842582 117.114721 \nL 170.261842 121.075159 \nL 163.678001 124.776638 \nL 158.196598 128.113871 \nL 153.779649 131.105203 \nL 150.312599 133.820935 \nL 147.65107 136.337908 \nL 145.648923 138.718188 \nL 144.172971 141.003405 \nL 143.109282 143.216848 \nL 142.364619 145.368251 \nL 141.86531 147.45869 \nL 141.457069 150.471419 \nL 141.345934 153.31912 \nL 141.45588 155.982706 \nL 141.751661 158.446811 \nL 142.228956 160.699199 \nL 142.908995 162.728119 \nL 143.496327 163.949418 \nL 144.213023 165.058628 \nL 145.084396 166.047115 \nL 146.142264 166.902834 \nL 147.426043 167.609003 \nL 148.984038 168.142345 \nL 150.874881 168.470713 \nL 153.16892 168.549942 \nL 155.949245 168.319657 \nL 159.311684 167.697954 \nL 163.3626 166.574987 \nL 168.21245 164.806225 \nL 170.969387 163.623682 \nL 173.961738 162.207423 \nL 177.196161 160.528415 \nL 180.674361 158.556094 \nL 184.391112 156.259463 \nL 188.331823 153.608853 \nL 192.469695 150.578493 \nL 196.76252 147.150049 \nL 201.149377 143.31723 \nL 205.547515 139.091481 \nL 209.850058 134.508399 \nL 213.925266 129.63429 \nL 217.618361 124.571684 \nL 220.756917 119.462203 \nL 223.160611 114.484745 \nL 224.655537 109.847097 \nL 225.092263 105.769817 \nL 224.365395 102.46307 \nL 222.431163 100.099302 \nL 219.318941 98.787236 \nL 215.13312 98.553526 \nL 210.043876 99.337529 \nL 204.268121 101.001392 \nL 198.044737 103.352915 \nL 191.60933 106.175323 \nL 185.173439 109.256558 \nL 172.952698 115.498076 \nL 143.36243 131.061698 \nL 138.448231 133.848475 \nL 134.616111 136.281372 \nL 131.593268 138.51106 \nL 129.144558 140.628908 \nL 126.129469 143.687302 \nL 121.671516 148.497642 \nL 119.777705 150.272476 \nL 117.699828 151.919369 \nL 115.373389 153.400403 \nL 112.74344 154.668459 \nL 109.76548 155.664013 \nL 108.135759 156.036679 \nL 106.409019 156.311374 \nL 104.584754 156.475535 \nL 102.664397 156.515237 \nL 100.65174 156.415211 \nL 98.553424 156.158943 \nL 96.379477 155.728911 \nL 94.143874 155.106959 \nL 91.865087 154.274887 \nL 89.566608 153.21525 \nL 87.277312 151.912444 \nL 85.031654 150.354036 \nL 82.869551 148.532379 \nL 80.835857 146.446387 \nL 78.979356 144.103421 \nL 77.351164 141.52103 \nL 76.002581 138.728371 \nL 74.982392 135.767002 \nL 74.333809 132.690755 \nL 74.09133 129.564476 \nL 74.277802 126.461534 \nL 74.902113 123.460151 \nL 75.957829 120.638869 \nL 77.423035 118.071564 \nL 79.261462 115.822678 \nL 81.424762 113.943198 \nL 83.855681 112.467945 \nL 86.491702 111.414367 \nL 89.268754 110.782945 \nL 92.124554 110.558952 \nL 95.00135 110.715219 \nL 97.847877 111.215432 \nL 100.620529 112.017505 \nL 103.283805 113.076726 \nL 105.810187 114.348383 \nL 108.179585 115.789803 \nL 110.37853 117.361751 \nL 112.39922 119.029247 \nL 114.238532 120.761949 \nL 115.897089 122.534159 \nL 117.378378 124.324579 \nL 118.687991 126.115939 \nL 119.832963 127.894508 \nL 120.821231 129.649614 \nL 122.361272 133.059156 \nL 123.374628 136.302956 \nL 123.921746 139.361831 \nL 124.052477 142.2301 \nL 123.803941 144.90916 \nL 123.199929 147.402964 \nL 122.251218 149.714658 \nL 120.956447 151.843875 \nL 119.303379 153.784187 \nL 117.270641 155.520362 \nL 114.830127 157.025166 \nL 113.447181 157.678057 \nL 111.950598 158.255419 \nL 110.336879 158.748594 \nL 108.603167 159.147318 \nL 106.747589 159.439557 \nL 104.76968 159.611371 \nL 102.670884 159.646821 \nL 100.455143 159.52793 \nL 98.129578 159.234767 \nL 95.705236 158.745654 \nL 93.197911 158.03759 \nL 90.628965 157.086944 \nL 88.026114 155.870461 \nL 85.424086 154.366663 \nL 82.865 152.55765 \nL 80.398369 150.431321 \nL 78.080511 147.98393 \nL 75.973267 145.222794 \nL 74.141829 142.168919 \nL 72.651739 138.859123 \nL 71.565033 135.347245 \nL 70.935881 131.703939 \nL 70.806086 128.014729 \nL 71.201011 124.376142 \nL 72.126537 120.890092 \nL 73.567589 117.657035 \nL 75.48854 114.76876 \nL 77.835535 112.30171 \nL 80.540407 110.311892 \nL 83.525679 108.831953 \nL 86.7099 107.870744 \nL 90.012706 107.415134 \nL 93.359006 107.433636 \nL 96.682069 107.881049 \nL 99.925377 108.703416 \nL 103.043367 109.842696 \nL 106.001268 111.24071 \nL 108.774309 112.842114 \nL 111.346524 114.596437 \nL 113.709393 116.459254 \nL 115.86045 118.392611 \nL 117.80196 120.36496 \nL 119.539747 122.350732 \nL 121.082177 124.329701 \nL 122.4393 126.286289 \nL 123.622167 128.208819 \nL 125.511101 131.920558 \nL 126.839139 135.425615 \nL 127.688026 138.711287 \nL 128.126213 141.780338 \nL 128.206868 144.643614 \nL 127.967594 147.315285 \nL 127.431038 149.809776 \nL 126.605867 152.139661 \nL 125.487814 154.314063 \nL 124.060668 156.337123 \nL 122.297219 158.206189 \nL 120.160317 159.909458 \nL 117.604407 161.422665 \nL 114.578091 162.704548 \nL 112.871915 163.239743 \nL 111.028615 163.690795 \nL 109.042653 164.044816 \nL 106.909638 164.286477 \nL 104.626874 164.397736 \nL 102.194052 164.357618 \nL 99.614071 164.142067 \nL 96.894021 163.723942 \nL 94.046316 163.073212 \nL 91.089939 162.157461 \nL 88.051763 160.942807 \nL 84.967834 159.395356 \nL 81.884474 157.483319 \nL 78.858981 155.179829 \nL 75.959695 152.466526 \nL 73.265054 149.337753 \nL 70.861437 145.805011 \nL 68.839483 141.901234 \nL 67.288907 137.6841 \nL 66.292028 133.237451 \nL 65.916521 128.670057 \nL 66.208385 124.111068 \nL 67.186157 119.702119 \nL 68.837493 115.586808 \nL 71.11889 111.898768 \nL 73.958819 108.750333 \nL 77.263763 106.223527 \nL 80.92624 104.364865 \nL 84.833465 103.184463 \nL 88.875404 102.659271 \nL 92.951259 102.739341 \nL 96.973871 103.355705 \nL 100.872025 104.428551 \nL 104.590928 105.874569 \nL 108.091324 107.612785 \nL 111.347759 109.568685 \nL 114.346421 111.676652 \nL 117.082891 113.881039 \nL 119.560019 116.136189 \nL 121.786036 118.405783 \nL 123.772961 120.661795 \nL 125.535299 122.883272 \nL 127.089 125.055114 \nL 128.450665 127.166949 \nL 130.66404 131.186867 \nL 132.301872 134.920213 \nL 133.476235 138.370901 \nL 134.281181 141.556595 \nL 134.792214 144.500989 \nL 135.067439 147.229406 \nL 135.149465 149.766473 \nL 135.0675 152.134958 \nL 134.839286 154.355325 \nL 134.472712 156.44565 \nL 133.966999 158.421721 \nL 133.313461 160.297174 \nL 132.495827 162.083569 \nL 131.490172 163.790293 \nL 130.264471 165.42421 \nL 128.777858 166.988886 \nL 126.979646 168.483211 \nL 124.808282 169.899095 \nL 122.190531 171.217817 \nL 119.0414 172.404436 \nL 115.265801 173.399441 \nL 113.111735 173.796909 \nL 110.763611 174.10676 \nL 108.209964 174.308598 \nL 105.440956 174.377476 \nL 102.449388 174.283211 \nL 99.232024 173.98973 \nL 95.791271 173.454548 \nL 92.137259 172.628521 \nL 88.290324 171.456067 \nL 84.283833 169.876142 \nL 80.167238 167.824311 \nL 76.009021 165.236296 \nL 71.899095 162.053371 \nL 67.949972 158.229809 \nL 64.295824 153.742342 \nL 61.088486 148.600925 \nL 58.489626 142.859475 \nL 56.658811 136.624331 \nL 55.738065 130.057715 \nL 55.834795 123.37345 \nL 57.006 116.823318 \nL 59.247288 110.674554 \nL 62.489724 105.181661 \nL 66.605783 100.557877 \nL 71.42359 96.952344 \nL 76.746306 94.437665 \nL 82.372615 93.009678 \nL 88.114476 92.598005 \nL 93.80971 93.083729 \nL 99.328644 94.319528 \nL 104.575531 96.148449 \nL 109.486152 98.418702 \nL 114.023259 100.993647 \nL 118.171192 103.75708 \nL 121.93062 106.614912 \nL 125.313911 109.494218 \nL 128.341343 112.340873 \nL 131.038151 115.116498 \nL 133.432315 117.795315 \nL 137.429207 122.805602 \nL 140.560752 127.318663 \nL 143.036976 131.342602 \nL 145.91491 136.538905 \nL 148.934697 142.11275 \nL 150.341549 144.394599 \nL 151.794544 146.368855 \nL 153.365443 148.045022 \nL 155.119112 149.42203 \nL 157.116424 150.48749 \nL 158.224862 150.896216 \nL 159.416126 151.216822 \nL 160.697318 151.444152 \nL 162.075383 151.572141 \nL 163.557018 151.593804 \nL 165.148542 151.501212 \nL 166.855703 151.28551 \nL 168.683429 150.936965 \nL 170.635506 150.445051 \nL 172.714169 149.798616 \nL 174.919605 148.986131 \nL 177.249354 147.996055 \nL 179.697604 146.81736 \nL 182.2544 145.440196 \nL 184.904761 143.856807 \nL 187.627779 142.062628 \nL 190.395702 140.057627 \nL 193.173159 137.84782 \nL 195.916594 135.446939 \nL 198.574089 132.878061 \nL 201.085747 130.175052 \nL 203.384825 127.383552 \nL 205.399773 124.56116 \nL 207.057288 121.776516 \nL 208.286331 119.106985 \nL 209.022958 116.634791 \nL 209.215529 114.441738 \nL 208.829725 112.602915 \nL 207.8527 111.180097 \nL 206.29562 110.21586 \nL 204.19408 109.729359 \nL 201.606163 109.714622 \nL 198.608311 110.141765 \nL 195.289574 110.960834 \nL 191.74507 112.107727 \nL 188.069542 113.511012 \nL 184.351793 115.098607 \nL 177.09174 118.567234 \nL 170.437196 122.0957 \nL 164.650852 125.44391 \nL 159.823957 128.521927 \nL 155.932956 131.333072 \nL 152.890593 133.922124 \nL 150.582979 136.341375 \nL 148.892945 138.633794 \nL 147.71307 140.827724 \nL 146.951873 142.937658 \nL 146.535873 144.967322 \nL 146.409367 146.913059 \nL 146.533111 148.766533 \nL 146.882626 150.516521 \nL 147.446564 152.149803 \nL 148.225336 153.651317 \nL 149.230107 155.003673 \nL 150.48216 156.186166 \nL 152.012554 157.173309 \nL 153.861952 157.932883 \nL 156.08039 158.423497 \nL 158.726583 158.591622 \nL 161.866196 158.368243 \nL 165.568088 157.665446 \nL 167.650602 157.100953 \nL 169.89707 156.373862 \nL 172.312868 155.467157 \nL 174.901076 154.362799 \nL 177.661595 153.042136 \nL 180.590038 151.486551 \nL 183.676451 149.678421 \nL 186.903822 147.602436 \nL 190.246459 145.247346 \nL 193.668307 142.608198 \nL 197.121351 139.689004 \nL 200.544339 136.505771 \nL 203.862112 133.089689 \nL 206.985927 129.490054 \nL 209.815177 125.776394 \nL 212.240903 122.03908 \nL 214.15134 118.387644 \nL 215.439448 114.946122 \nL 216.012009 111.845128 \nL 215.799311 109.21099 \nL 214.764062 107.153042 \nL 212.907889 105.751134 \nL 210.273943 105.04564 \nL 206.944742 105.032303 \nL 203.035291 105.663182 \nL 198.682555 106.853685 \nL 194.033154 108.49421 \nL 189.231291 110.46389 \nL 184.408748 112.643754 \nL 175.128403 117.22686 \nL 166.815181 121.6339 \nL 159.752319 125.581685 \nL 153.975985 129.026821 \nL 149.379081 132.048939 \nL 145.789913 134.763291 \nL 143.020824 137.273933 \nL 140.894049 139.656885 \nL 139.253178 141.959583 \nL 137.966434 144.20696 \nL 136.46937 147.493105 \nL 132.381842 157.614967 \nL 131.358418 159.458233 \nL 130.168106 161.235717 \nL 128.765998 162.944843 \nL 127.101943 164.580743 \nL 125.118825 166.134094 \nL 122.751226 167.587999 \nL 119.924815 168.913469 \nL 116.557086 170.062933 \nL 114.64293 170.549531 \nL 112.56061 170.961099 \nL 110.299674 171.281869 \nL 107.850699 171.492619 \nL 105.205985 171.570131 \nL 102.360483 171.486654 \nL 99.312978 171.209423 \nL 96.067552 170.700322 \nL 92.635373 169.915806 \nL 89.03679 168.807257 \nL 85.30367 167.322 \nL 81.481843 165.405223 \nL 77.633408 163.003128 \nL 73.83852 160.067515 \nL 70.1961 156.561969 \nL 66.822829 152.469522 \nL 63.849717 147.801222 \nL 61.415656 142.604581 \nL 59.65782 136.970167 \nL 58.699373 131.034355 \nL 58.635835 124.9762 \nL 59.522264 119.007185 \nL 61.363869 113.354098 \nL 64.11236 108.2371 \nL 67.669292 103.846893 \nL 71.896026 100.325291 \nL 76.628402 97.753127 \nL 81.693125 96.147349 \nL 86.922942 95.466968 \nL 92.16835 95.625414 \nL 97.304859 96.506165 \nL 102.235916 97.978314 \nL 106.892338 99.90986 \nL 111.229493 102.177457 \nL 115.223296 104.672488 \nL 118.865928 107.303851 \nL 122.161792 109.99834 \nL 125.124037 112.699408 \nL 127.771706 115.365076 \nL 130.127516 117.965479 \nL 132.216174 120.480444 \nL 135.693735 125.20906 \nL 138.402993 129.508509 \nL 140.52537 133.385188 \nL 142.946125 138.471946 \nL 147.027726 147.536 \nL 148.163293 149.522385 \nL 149.400322 151.266653 \nL 150.792694 152.770193 \nL 152.393423 154.025613 \nL 154.256922 155.0157 \nL 156.440612 155.712004 \nL 159.005606 156.072921 \nL 162.016055 156.041416 \nL 163.70859 155.855883 \nL 165.536411 155.542713 \nL 167.506649 155.089529 \nL 169.625454 154.482757 \nL 171.897509 153.707748 \nL 174.325422 152.748993 \nL 176.908962 151.590498 \nL 179.64415 150.216339 \nL 182.522185 148.611462 \nL 185.528213 146.762784 \nL 188.639999 144.660633 \nL 191.826533 142.300549 \nL 195.046718 139.685453 \nL 198.248295 136.828105 \nL 201.367226 133.753673 \nL 204.327856 130.50217 \nL 207.044123 127.130302 \nL 209.422156 123.712242 \nL 211.364473 120.338699 \nL 212.775786 117.113789 \nL 213.570172 114.149321 \nL 213.678967 111.556689 \nL 213.058423 109.436971 \nL 211.695896 107.870567 \nL 209.613332 106.908171 \nL 206.867217 106.56478 \nL 203.544644 106.818178 \nL 199.756026 107.612308 \nL 195.625613 108.864917 \nL 191.281341 110.477881 \nL 186.845554 112.348259 \nL 182.427745 114.378126 \nL 173.994231 118.590604 \nL 166.482704 122.636369 \nL 160.115103 126.298988 \nL 154.912374 129.548601 \nL 150.778458 132.449702 \nL 147.563944 135.093641 \nL 145.10615 137.562477 \nL 143.251021 139.915839 \nL 141.863271 142.19051 \nL 140.829585 144.405217 \nL 140.058083 146.566524 \nL 139.237605 149.706319 \nL 138.507109 153.680175 \nL 137.04016 162.417091 \nL 136.440826 164.713855 \nL 135.667575 166.882494 \nL 134.649561 168.940954 \nL 133.790671 170.26148 \nL 132.748423 171.546859 \nL 131.48093 172.80139 \nL 129.93707 174.02725 \nL 128.054584 175.222709 \nL 125.758107 176.379279 \nL 122.957396 177.477151 \nL 119.546365 178.478063 \nL 115.404146 179.314329 \nL 113.018189 179.637645 \nL 110.400398 179.872531 \nL 107.535202 179.993876 \nL 104.408871 179.970426 \nL 101.010877 179.763727 \nL 97.335724 179.327072 \nL 93.385318 178.604617 \nL 89.171995 177.530867 \nL 84.722165 176.030863 \nL 80.080561 174.021579 \nL 75.314827 171.415048 \nL 70.519931 168.123976 \nL 65.821601 164.07041 \nL 61.377535 159.197863 \nL 57.374827 153.486559 \nL 54.022029 146.97035 \nL 51.534684 139.752436 \nL 50.114439 132.015467 \nL 49.923777 124.021109 \nL 51.060701 116.094973 \nL 53.539212 108.59622 \nL 57.281338 101.875685 \nL 62.123895 96.231149 \nL 67.839087 91.870408 \nL 74.163988 88.890736 \nL 80.831768 87.278516 \nL 87.59808 86.926513 \nL 94.25858 87.662044 \nL 100.656764 89.278215 \nL 106.683791 91.561601 \nL 112.273017 94.312742 \nL 117.392042 97.358587 \nL 122.034342 100.557864 \nL 126.211725 103.801263 \nL 129.94816 107.008398 \nL 133.275055 110.123255 \nL 136.227827 113.109237 \nL 141.159076 118.618047 \nL 145.031968 123.47088 \nL 148.11115 127.68952 \nL 154.693797 137.097931 \nL 156.535326 139.322883 \nL 158.397223 141.149394 \nL 160.366244 142.591702 \nL 162.513971 143.650811 \nL 163.673678 144.033492 \nL 164.899143 144.315052 \nL 166.195795 144.492192 \nL 167.568223 144.560982 \nL 169.020063 144.51691 \nL 170.553859 144.355001 \nL 172.170867 144.06995 \nL 175.651653 143.108654 \nL 179.436622 141.592186 \nL 181.424454 140.616064 \nL 183.459765 139.492356 \nL 185.525992 138.222109 \nL 187.602566 136.809398 \nL 189.664685 135.262058 \nL 191.683234 133.592382 \nL 193.624932 131.817781 \nL 195.452762 129.961244 \nL 197.126734 128.051586 \nL 198.605049 126.12328 \nL 199.845656 124.215851 \nL 200.80818 122.372712 \nL 201.456117 120.63942 \nL 201.759179 119.061426 \nL 201.695526 117.681461 \nL 201.253716 116.536773 \nL 200.43405 115.656552 \nL 199.249187 115.059853 \nL 197.72383 114.754295 \nL 195.893531 114.735781 \nL 193.802685 114.989238 \nL 191.501961 115.490299 \nL 189.04544 116.207657 \nL 186.487758 117.105812 \nL 181.275326 119.297563 \nL 176.228086 121.792104 \nL 171.60989 124.378055 \nL 167.579729 126.921135 \nL 164.208133 129.353252 \nL 161.502067 131.650784 \nL 159.42934 133.813405 \nL 157.93823 135.848597 \nL 156.971428 137.762501 \nL 156.474996 139.555661 \nL 156.40354 141.221729 \nL 156.722757 142.747605 \nL 157.41024 144.114 \nL 158.455188 145.295816 \nL 159.857355 146.262153 \nL 161.625392 146.975956 \nL 163.774486 147.39336 \nL 166.323043 147.463094 \nL 169.287949 147.126389 \nL 172.677791 146.318151 \nL 176.483342 144.97053 \nL 180.66477 143.020426 \nL 182.871738 141.804141 \nL 185.135659 140.422746 \nL 187.435537 138.876781 \nL 189.745332 137.170865 \nL 192.033631 135.314671 \nL 194.263561 133.323901 \nL 196.393 131.221121 \nL 198.375226 129.036372 \nL 200.160065 126.807364 \nL 201.695586 124.579103 \nL 202.930372 122.402794 \nL 203.816272 120.333947 \nL 204.311481 118.429632 \nL 204.383691 116.745115 \nL 204.012943 115.330046 \nL 203.193876 114.22473 \nL 201.936955 113.456897 \nL 200.268501 113.039474 \nL 198.229388 112.969788 \nL 195.872575 113.230239 \nL 193.259711 113.790421 \nL 190.457266 114.610359 \nL 187.532626 115.644311 \nL 184.550563 116.844632 \nL 178.644041 119.564154 \nL 173.117052 122.460116 \nL 168.211327 125.326637 \nL 164.044179 128.057164 \nL 160.640087 130.616551 \nL 157.964625 133.009333 \nL 155.952551 135.255131 \nL 154.527836 137.373726 \nL 153.61646 139.378072 \nL 153.153739 141.27227 \nL 153.087962 143.052058 \nL 153.381695 144.706108 \nL 154.011736 146.217222 \nL 154.968358 147.563004 \nL 156.254158 148.715897 \nL 157.882685 149.642558 \nL 159.876745 150.30274 \nL 162.266172 150.647869 \nL 165.084595 150.619561 \nL 168.364539 150.148675 \nL 172.129932 149.155701 \nL 174.19714 148.436469 \nL 176.384919 147.554046 \nL 178.688079 146.497855 \nL 181.097913 145.258311 \nL 183.601416 143.82757 \nL 186.180481 142.200462 \nL 188.811072 140.375591 \nL 191.462504 138.356652 \nL 194.096859 136.153837 \nL 196.668726 133.785303 \nL 199.125358 131.278479 \nL 201.407439 128.671111 \nL 203.450594 126.011671 \nL 205.187756 123.358949 \nL 206.552405 120.780497 \nL 207.482552 118.349805 \nL 207.925253 116.142174 \nL 207.841174 114.229551 \nL 207.20867 112.674797 \nL 206.02677 111.526139 \nL 204.316504 110.812674 \nL 202.120285 110.541714 \nL 199.499258 110.69843 \nL 196.528961 111.248003 \nL 193.29389 112.13981 \nL 189.881698 113.312989 \nL 186.377741 114.702416 \nL 179.398968 117.880261 \nL 172.857123 121.246781 \nL 167.061859 124.526294 \nL 162.152445 127.589168 \nL 158.144692 130.407726 \nL 154.979564 133.007522 \nL 152.561496 135.431303 \nL 150.784242 137.718658 \nL 149.546322 139.897642 \nL 148.75916 141.983491 \nL 148.350563 143.980549 \nL 148.265467 145.88507 \nL 148.465269 147.687711 \nL 148.926526 149.375252 \nL 149.639547 150.931446 \nL 150.607119 152.337093 \nL 151.843475 153.569419 \nL 153.373492 154.600883 \nL 155.232005 155.397452 \nL 157.462996 155.916373 \nL 160.118264 156.103559 \nL 163.254959 155.890736 \nL 166.93102 155.192876 \nL 168.987755 154.630531 \nL 171.197132 153.906893 \nL 173.562163 153.006559 \nL 176.083337 151.913552 \nL 178.757756 150.611809 \nL 181.57812 149.085892 \nL 184.531542 147.321974 \nL 187.598262 145.309142 \nL 190.750268 143.04108 \nL 193.949969 140.518087 \nL 197.14902 137.749436 \nL 200.287554 134.755882 \nL 203.294058 131.572164 \nL 206.086206 128.249049 \nL 208.572975 124.8545 \nL 210.65826 121.473366 \nL 212.246112 118.20501 \nL 213.247445 115.158528 \nL 213.587694 112.445449 \nL 213.214572 110.170433 \nL 212.104802 108.421023 \nL 210.268568 107.258093 \nL 207.750677 106.708763 \nL 204.627942 106.763325 \nL 201.003005 107.376973 \nL 196.995535 108.476044 \nL 192.732249 109.967537 \nL 188.337309 111.749986 \nL 183.924364 113.723755 \nL 175.415888 117.902084 \nL 167.757927 121.980645 \nL 161.215042 125.702925 \nL 155.837321 129.01304 \nL 151.545176 131.963481 \nL 148.196566 134.642921 \nL 145.630585 137.135378 \nL 143.691951 139.503931 \nL 142.24279 141.788622 \nL 141.166819 144.010641 \nL 140.369345 146.178142 \nL 139.535435 149.326799 \nL 138.82658 153.312308 \nL 137.14297 164.35086 \nL 136.558681 166.504583 \nL 135.793419 168.539599 \nL 134.777095 170.475207 \nL 133.915355 171.720305 \nL 132.866221 172.935714 \nL 131.586635 174.125955 \nL 130.023839 175.29337 \nL 128.113391 176.436303 \nL 125.777079 177.546108 \nL 122.921033 178.602366 \nL 119.434674 179.56532 \nL 115.191809 180.364213 \nL 112.744215 180.667402 \nL 110.056275 180.879843 \nL 107.111771 180.974997 \nL 103.896475 180.919769 \nL 100.399628 180.673365 \nL 96.615912 180.186172 \nL 92.548039 179.398815 \nL 88.210018 178.241642 \nL 83.631118 176.635007 \nL 78.860461 174.490896 \nL 73.971931 171.71651 \nL 69.068838 168.220623 \nL 64.28738 163.923311 \nL 59.797492 158.769463 \nL 55.799369 152.745511 \nL 52.513934 145.89766 \nL 50.16616 138.348137 \nL 48.961636 130.304468 \nL 49.059086 122.056361 \nL 50.54396 113.956272 \nL 53.409671 106.383665 \nL 57.552398 99.698482 \nL 62.782045 94.194055 \nL 68.847267 90.0609 \nL 75.4683 87.369999 \nL 82.369658 86.077771 \nL 89.306072 86.04862 \nL 96.078202 87.086966 \nL 102.538186 88.970273 \nL 108.587284 91.476706 \nL 114.168847 94.40446 \nL 119.259389 97.582464 \nL 123.859807 100.874062 \nL 127.987765 104.175751 \nL 131.67168 107.413209 \nL 134.946219 110.536082 \nL 137.849113 113.51271 \nL 142.693849 118.966355 \nL 146.502943 123.733899 \nL 150.847766 129.684496 \nL 155.185575 135.701625 \nL 157.092794 138.01072 \nL 158.98664 139.902738 \nL 160.95975 141.397091 \nL 163.087247 142.499607 \nL 164.228262 142.902239 \nL 165.429385 143.203386 \nL 166.69598 143.40039 \nL 168.032483 143.489983 \nL 169.442323 143.468366 \nL 170.927786 143.331322 \nL 174.127973 142.692865 \nL 177.621108 141.538864 \nL 181.362092 139.840687 \nL 185.262398 137.589125 \nL 187.230226 136.262232 \nL 189.180021 134.810826 \nL 191.084649 133.246977 \nL 192.913332 131.587344 \nL 194.632065 129.853535 \nL 196.204348 128.072268 \nL 197.592242 126.275188 \nL 198.75776 124.498277 \nL 199.664561 122.78081 \nL 200.279877 121.163832 \nL 200.576522 119.688211 \nL 200.534843 118.392384 \nL 200.144376 117.310015 \nL 199.405028 116.467774 \nL 198.327615 115.883544 \nL 196.933654 115.56529 \nL 195.254365 115.510746 \nL 193.329026 115.707935 \nL 191.202785 116.136529 \nL 188.924222 116.769789 \nL 186.542869 117.576843 \nL 181.661386 119.581966 \nL 176.897231 121.904489 \nL 172.504183 124.345994 \nL 168.642604 126.773935 \nL 165.391249 129.115187 \nL 162.768182 131.338607 \nL 160.75245 133.4366 \nL 159.302271 135.410839 \nL 158.368412 137.263312 \nL 157.9031 138.991719 \nL 157.865351 140.587763 \nL 158.223759 142.036858 \nL 158.957488 143.318401 \nL 160.056079 144.406 \nL 161.51838 145.267482 \nL 163.350713 145.864632 \nL 165.564189 146.152833 \nL 168.170905 146.080993 \nL 171.178568 145.592202 \nL 174.583054 144.62606 \nL 178.358379 143.123732 \nL 182.443916 141.037205 \nL 184.570969 139.766318 \nL 186.729614 138.344027 \nL 188.895988 136.77493 \nL 191.041558 135.068086 \nL 193.133074 133.237801 \nL 195.132776 131.304323 \nL 196.99896 129.294338 \nL 198.686958 127.241115 \nL 200.15058 125.184183 \nL 201.344014 123.168444 \nL 202.224134 121.24261 \nL 202.753077 119.456978 \nL 202.900897 117.860665 \nL 202.648024 116.498478 \nL 201.987237 115.407783 \nL 200.924876 114.615711 \nL 199.481073 114.137139 \nL 197.688914 113.9737 \nL 195.592596 114.114055 \nL 193.244777 114.535336 \nL 190.703407 115.205524 \nL 188.028408 116.086519 \nL 185.278583 117.137328 \nL 179.768862 119.587479 \nL 174.53871 122.270076 \nL 169.83549 124.980634 \nL 165.793764 127.601302 \nL 162.459132 130.081616 \nL 159.817256 132.412204 \nL 157.819715 134.602311 \nL 156.403479 136.664908 \nL 155.504038 138.60881 \nL 155.063374 140.4356 \nL 155.034266 142.139251 \nL 155.382148 143.706823 \nL 156.085466 145.119253 \nL 157.135111 146.351856 \nL 158.533284 147.374282 \nL 160.291899 148.149972 \nL 162.430426 148.635261 \nL 164.972896 148.778399 \nL 167.943561 148.51889 \nL 171.360547 147.78788 \nL 175.226633 146.510726 \nL 177.321672 145.643891 \nL 179.51636 144.613357 \nL 181.800319 143.411969 \nL 184.159101 142.034572 \nL 186.573519 140.478872 \nL 189.019025 138.74642 \nL 191.465193 136.843723 \nL 193.875395 134.783402 \nL 196.206786 132.585311 \nL 198.410689 130.277463 \nL 200.433526 127.896628 \nL 202.218388 125.488342 \nL 203.707268 123.106184 \nL 204.843956 120.810102 \nL 205.577468 118.663739 \nL 205.86572 116.730823 \nL 205.679135 115.070869 \nL 205.003694 113.734624 \nL 203.842999 112.759864 \nL 202.218979 112.168142 \nL 200.17103 111.963043 \nL 197.753646 112.130265 \nL 195.032784 112.63956 \nL 192.081435 113.448182 \nL 188.974994 114.505275 \nL 185.786927 115.756562 \nL 179.429567 118.632442 \nL 173.447231 121.713883 \nL 168.120496 124.75827 \nL 163.585454 127.641812 \nL 159.870188 130.326869 \nL 156.934601 132.823571 \nL 154.703221 135.159936 \nL 153.088305 137.363956 \nL 152.004318 139.455401 \nL 151.376059 141.443711 \nL 151.142538 143.328875 \nL 151.258262 145.103287 \nL 151.693068 146.753485 \nL 152.431258 148.261272 \nL 153.47045 149.604082 \nL 154.820369 150.754629 \nL 156.501607 151.679923 \nL 158.544224 152.339771 \nL 160.985903 152.684857 \nL 163.869147 152.654736 \nL 167.236798 152.176158 \nL 169.114051 151.742136 \nL 171.124795 151.162574 \nL 173.270591 150.424938 \nL 175.550852 149.516404 \nL 177.962174 148.424258 \nL 180.49754 147.136461 \nL 183.145426 145.642432 \nL 185.888837 143.934022 \nL 188.704296 142.006779 \nL 191.560873 139.861427 \nL 194.419337 137.50557 \nL 197.231627 134.955495 \nL 199.940729 132.237962 \nL 202.481261 129.39168 \nL 204.780906 126.468238 \nL 206.762872 123.532047 \nL 208.349501 120.658976 \nL 209.466894 117.933384 \nL 210.050354 115.443422 \nL 210.050068 113.274855 \nL 209.436397 111.503928 \nL 208.203917 110.190265 \nL 206.373492 109.370857 \nL 203.991852 109.056289 \nL 201.12858 109.229989 \nL 197.870852 109.850662 \nL 194.316704 110.85757 \nL 190.567799 112.177536 \nL 186.722702 113.732602 \nL 182.871395 115.446973 \nL 175.446181 119.092141 \nL 168.738652 122.709216 \nL 162.97573 126.087063 \nL 158.215104 129.163892 \nL 154.407165 131.963249 \nL 151.446746 134.541479 \nL 149.208724 136.956005 \nL 147.569442 139.25116 \nL 146.418037 141.454987 \nL 145.661325 143.581243 \nL 145.224945 145.633229 \nL 145.05251 147.607422 \nL 145.10387 149.496314 \nL 145.353153 151.290228 \nL 145.786952 152.97823 \nL 146.40285 154.548373 \nL 147.208364 155.987347 \nL 148.220309 157.279699 \nL 149.464559 158.406665 \nL 150.97611 159.344594 \nL 152.799325 160.06293 \nL 154.988145 160.521654 \nL 157.605929 160.668144 \nL 160.724316 160.433471 \nL 164.420208 159.728377 \nL 166.508706 159.165058 \nL 168.769325 158.439704 \nL 171.209372 157.534195 \nL 173.834129 156.429012 \nL 176.64593 155.103573 \nL 179.643051 153.536809 \nL 182.818337 151.708053 \nL 186.157601 149.598326 \nL 189.637813 147.192102 \nL 193.225147 144.479622 \nL 196.873037 141.459779 \nL 200.52044 138.143525 \nL 204.090636 134.557593 \nL 207.491016 130.748185 \nL 210.614299 126.78402 \nL 213.341733 122.757935 \nL 215.548638 118.786071 \nL 217.11243 115.003727 \nL 217.922779 111.557276 \nL 217.892957 108.592229 \nL 216.970807 106.238544 \nL 215.147365 104.595347 \nL 212.46118 103.717982 \nL 208.997038 103.61037 \nL 204.87882 104.224689 \nL 200.257643 105.468658 \nL 195.297426 107.218868 \nL 190.160471 109.337191 \nL 184.995342 111.686785 \nL 175.05987 116.611663 \nL 166.183976 121.298226 \nL 155.442368 127.279386 \nL 149.972231 130.574426 \nL 145.668661 133.45769 \nL 142.323823 136.063312 \nL 139.732419 138.496463 \nL 137.709722 140.826843 \nL 136.097756 143.093967 \nL 134.765243 145.315816 \nL 132.527295 149.634341 \nL 130.339332 153.752012 \nL 129.10866 155.717036 \nL 127.714182 157.608677 \nL 126.102206 159.417216 \nL 124.216729 161.129662 \nL 121.997695 162.727092 \nL 119.380134 164.180871 \nL 116.294627 165.447411 \nL 114.554071 165.99106 \nL 112.669954 166.461104 \nL 110.634098 166.844393 \nL 108.439268 167.125149 \nL 106.079709 167.284583 \nL 103.551835 167.30055 \nL 100.855099 167.147223 \nL 97.993057 166.794905 \nL 94.974645 166.210006 \nL 91.815652 165.355326 \nL 88.540356 164.190771 \nL 85.183235 162.674664 \nL 81.790594 160.76581 \nL 78.421893 158.426521 \nL 75.150433 155.626632 \nL 72.063025 152.348526 \nL 69.258195 148.592849 \nL 66.842505 144.384436 \nL 64.924836 139.777476 \nL 63.608662 134.858812 \nL 62.982924 129.748017 \nL 63.112587 124.593266 \nL 64.030334 119.562488 \nL 65.731049 114.830438 \nL 68.170318 110.563253 \nL 71.267582 106.903055 \nL 74.913476 103.95526 \nL 78.980086 101.780838 \nL 83.332283 100.394542 \nL 87.838332 99.768831 \nL 92.37833 99.842041 \nL 96.849833 100.528888 \nL 101.170571 101.731242 \nL 105.278751 103.347654 \nL 109.131615 105.280784 \nL 112.702966 107.442413 \nL 115.98026 109.756201 \nL 118.961695 112.158662 \nL 121.653551 114.598869 \nL 124.067902 117.037298 \nL 126.22074 119.444329 \nL 128.130484 121.798585 \nL 129.816829 124.085334 \nL 132.599546 128.422303 \nL 134.724609 132.421393 \nL 136.333081 136.085176 \nL 137.546144 139.434283 \nL 138.838625 143.929706 \nL 139.722869 147.878124 \nL 142.130966 159.677305 \nL 142.898641 161.849214 \nL 143.52304 163.143546 \nL 144.265861 164.313139 \nL 145.15577 165.352488 \nL 146.226759 166.251844 \nL 147.519554 166.996117 \nL 149.083118 167.563301 \nL 150.976213 167.922267 \nL 153.268858 168.029736 \nL 156.043366 167.826252 \nL 159.394332 167.23101 \nL 163.426418 166.135651 \nL 168.247904 164.397772 \nL 170.986305 163.232812 \nL 173.956781 161.836193 \nL 177.165683 160.179458 \nL 180.614456 158.232691 \nL 184.297707 155.965613 \nL 188.200826 153.34932 \nL 192.297217 150.358777 \nL 196.545188 146.976289 \nL 200.884743 143.195993 \nL 205.234582 139.029355 \nL 209.489874 134.511407 \nL 213.521581 129.707083 \nL 217.178232 124.716532 \nL 220.291162 119.677891 \nL 222.683936 114.765558 \nL 224.186187 110.182124 \nL 224.651076 106.142908 \nL 223.974231 102.853649 \nL 222.110885 100.4842 \nL 219.087224 99.143229 \nL 215.002555 98.860193 \nL 210.020769 99.579807 \nL 204.352254 101.171095 \nL 198.230077 103.449041 \nL 191.885459 106.203137 \nL 185.527298 109.225805 \nL 173.420415 115.387416 \nL 143.941899 130.947056 \nL 139.029491 133.759428 \nL 135.199397 136.217933 \nL 132.181873 138.472185 \nL 129.743475 140.613794 \nL 127.689277 142.689362 \nL 120.521067 150.400141 \nL 118.48977 152.09018 \nL 116.213842 153.623694 \nL 113.636178 154.956243 \nL 110.708886 156.031356 \nL 109.10238 156.450473 \nL 107.396374 156.776588 \nL 105.589366 156.997496 \nL 103.681619 157.099544 \nL 101.675572 157.067618 \nL 99.576333 156.885186 \nL 97.392212 156.534463 \nL 95.135324 155.996701 \nL 92.822186 155.252691 \nL 90.474304 154.283478 \nL 88.118665 153.071336 \nL 85.788084 151.601052 \nL 83.521261 149.861492 \nL 81.362488 147.847419 \nL 79.360859 145.561478 \nL 77.568903 143.016171 \nL 76.040599 140.23562 \nL 74.828757 137.25679 \nL 73.981931 134.129895 \nL 73.54104 130.917674 \nL 73.536074 127.693368 \nL 73.983261 124.537337 \nL 74.883106 121.532577 \nL 76.219621 118.759504 \nL 77.960933 116.290656 \nL 80.061242 114.185949 \nL 82.463858 112.48912 \nL 85.104968 111.225735 \nL 87.917634 110.402977 \nL 90.835567 110.011012 \nL 93.796324 110.025604 \nL 96.743709 110.411514 \nL 99.629321 111.126142 \nL 102.413271 112.123043 \nL 105.064215 113.354938 \nL 107.558901 114.776114 \nL 109.881363 116.344147 \nL 112.021925 118.020954 \nL 113.976158 119.773327 \nL 115.74385 121.573029 \nL 117.328055 123.396601 \nL 118.734249 125.224974 \nL 119.969598 127.042981 \nL 121.042353 128.838816 \nL 122.735595 132.330537 \nL 123.885023 135.654235 \nL 124.556211 138.788988 \nL 124.804157 141.729031 \nL 124.670833 144.476786 \nL 124.184422 147.038049 \nL 123.35955 149.41852 \nL 122.198057 151.621118 \nL 120.690136 153.643596 \nL 118.81577 155.476047 \nL 116.54669 157.097975 \nL 115.253708 157.819813 \nL 113.849196 158.47465 \nL 112.328801 159.055185 \nL 110.688503 159.552608 \nL 108.924895 159.95643 \nL 107.035539 160.254306 \nL 105.019394 160.431872 \nL 102.877345 160.472635 \nL 100.612809 160.357891 \nL 98.232456 160.066799 \nL 95.747002 159.576553 \nL 93.172088 158.862805 \nL 90.529178 157.900342 \nL 87.846435 156.664118 \nL 85.159459 155.130709 \nL 82.511758 153.280206 \nL 79.954835 151.098594 \nL 77.547624 148.580485 \nL 75.355193 145.732106 \nL 73.446499 142.574176 \nL 71.891159 139.144333 \nL 70.755353 135.498542 \nL 70.097052 131.71101 \nL 69.961132 127.872167 \nL 70.374882 124.084507 \nL 71.344665 120.456508 \nL 72.854304 117.095123 \nL 74.865525 114.097896 \nL 77.320543 111.54567 \nL 80.146397 109.497047 \nL 83.260445 107.985321 \nL 86.576192 107.018123 \nL 90.008749 106.579568 \nL 93.479318 106.634369 \nL 96.918398 107.132982 \nL 100.267658 108.017043 \nL 103.480576 109.224407 \nL 106.52215 110.69333 \nL 109.367934 112.365581 \nL 112.002689 114.188495 \nL 114.418877 116.116106 \nL 116.615149 118.109476 \nL 118.594952 120.136536 \nL 120.365282 122.171541 \nL 121.935628 124.194356 \nL 123.317098 126.189654 \nL 124.521708 128.14613 \nL 126.449756 131.913192 \nL 127.815956 135.459825 \nL 128.706871 138.776754 \nL 129.194832 141.869781 \nL 129.336223 144.752419 \nL 129.171444 147.441248 \nL 128.725705 149.953017 \nL 128.010143 152.302786 \nL 127.022933 154.502547 \nL 125.750238 156.560018 \nL 124.167 158.477252 \nL 122.237664 160.248748 \nL 119.917081 161.858764 \nL 117.152031 163.277481 \nL 115.584652 163.900649 \nL 113.884078 164.455626 \nL 112.043054 164.932039 \nL 110.054861 165.317298 \nL 107.913741 165.596294 \nL 105.615436 165.751075 \nL 103.157851 165.760566 \nL 100.541896 165.60033 \nL 97.77249 165.242452 \nL 94.85974 164.65561 \nL 91.820293 163.805446 \nL 88.678784 162.655315 \nL 85.469346 161.167624 \nL 82.236978 159.305827 \nL 79.038601 157.037254 \nL 75.943494 154.336808 \nL 73.032787 151.191461 \nL 70.397619 147.605286 \nL 68.135679 143.604537 \nL 66.345964 139.241951 \nL 65.12187 134.599323 \nL 64.543186 129.78724 \nL 64.667873 124.941184 \nL 65.524937 120.213639 \nL 67.109671 115.762803 \nL 69.382392 111.739176 \nL 72.271084 108.272241 \nL 75.677657 105.459389 \nL 79.486745 103.358956 \nL 83.57556 101.988327 \nL 87.823241 101.326887 \nL 92.118502 101.322784 \nL 96.364925 101.90184 \nL 100.483752 102.976904 \nL 104.414542 104.456385 \nL 108.114209 106.25108 \nL 111.555051 108.278928 \nL 114.72228 110.46789 \nL 117.611474 112.757145 \nL 120.226165 115.097098 \nL 122.575726 117.448596 \nL 124.673599 119.781703 \nL 126.535857 122.074295 \nL 128.180082 124.310658 \nL 130.887297 128.576363 \nL 132.938256 132.536594 \nL 134.463998 136.186835 \nL 135.577582 139.542374 \nL 136.372459 142.62754 \nL 136.923272 145.469597 \nL 137.414481 149.335261 \nL 137.621028 152.796065 \nL 137.591851 156.897461 \nL 137.294178 160.528068 \nL 136.90279 163.001983 \nL 136.346427 165.300622 \nL 135.585068 167.453882 \nL 134.556874 169.488928 \nL 133.680695 170.792196 \nL 132.612767 172.060183 \nL 131.310452 173.297717 \nL 129.721279 174.507088 \nL 127.781075 175.68619 \nL 125.412023 176.825484 \nL 122.520959 177.903124 \nL 118.998603 178.877286 \nL 114.72106 179.674402 \nL 112.25776 179.970746 \nL 109.55608 180.171712 \nL 106.600686 180.250245 \nL 103.378456 180.172756 \nL 99.879988 179.898036 \nL 96.101616 179.37621 \nL 92.048 178.547927 \nL 87.735388 177.343988 \nL 83.195521 175.685854 \nL 78.480091 173.487506 \nL 73.665417 170.659314 \nL 68.856755 167.114616 \nL 64.191246 162.779601 \nL 59.838149 157.606708 \nL 55.994708 151.590876 \nL 52.876076 144.786805 \nL 50.698473 137.323683 \nL 49.656156 129.412661 \nL 49.895122 121.341949 \nL 51.488569 113.456374 \nL 54.420273 106.121903 \nL 58.581237 99.680934 \nL 63.781564 94.408204 \nL 69.775148 90.477916 \nL 76.291135 87.949628 \nL 83.064688 86.774508 \nL 89.86104 86.817579 \nL 96.489865 87.888408 \nL 102.810135 89.772223 \nL 108.727689 92.255847 \nL 114.188486 95.145693 \nL 119.17014 98.277668 \nL 123.673598 101.520544 \nL 127.715936 104.774709 \nL 131.324624 107.968383 \nL 134.533237 111.05271 \nL 137.378384 113.996737 \nL 142.127941 119.40338 \nL 145.862757 124.14617 \nL 150.122372 130.093335 \nL 154.373756 136.151928 \nL 156.243455 138.49667 \nL 158.101778 140.432667 \nL 160.041148 141.97863 \nL 162.137436 143.139848 \nL 163.264326 143.574294 \nL 164.45274 143.908754 \nL 165.70847 144.140413 \nL 167.036478 144.265793 \nL 168.440811 144.280818 \nL 169.924481 144.180907 \nL 171.489302 143.961084 \nL 174.862359 143.140891 \nL 178.541442 141.780034 \nL 182.471 139.848091 \nL 184.499336 138.664538 \nL 186.546723 137.338687 \nL 188.590685 135.876614 \nL 190.604579 134.288442 \nL 192.557623 132.588986 \nL 194.415195 130.798295 \nL 196.139429 128.941996 \nL 197.690169 127.051307 \nL 199.026298 125.162657 \nL 200.107461 123.316807 \nL 200.89607 121.557412 \nL 201.359529 119.929084 \nL 201.472457 118.474998 \nL 201.218729 117.234284 \nL 200.593073 116.239412 \nL 199.602012 115.513939 \nL 198.264011 115.070866 \nL 196.608716 114.911891 \nL 194.675403 115.027614 \nL 192.510729 115.398753 \nL 190.166084 115.998093 \nL 187.694801 116.792973 \nL 182.579884 118.827354 \nL 177.541428 121.227334 \nL 172.86496 123.768385 \nL 168.733126 126.29928 \nL 165.237057 128.737025 \nL 162.399179 131.047656 \nL 160.197487 133.225049 \nL 158.586054 135.274285 \nL 157.510101 137.201199 \nL 156.916005 139.007055 \nL 156.757292 140.686604 \nL 156.997769 142.227873 \nL 157.612734 143.612623 \nL 158.58893 144.816737 \nL 159.923662 145.810319 \nL 161.623239 146.557425 \nL 163.700724 147.015529 \nL 166.172753 147.134973 \nL 169.055006 146.858888 \nL 172.355775 146.124245 \nL 176.066961 144.865118 \nL 180.151969 143.019588 \nL 182.311744 141.861553 \nL 184.530539 140.542007 \nL 186.788703 139.06091 \nL 189.061794 137.421998 \nL 191.32023 135.633718 \nL 193.529163 133.710144 \nL 195.648622 131.671822 \nL 197.634048 129.546398 \nL 199.437285 127.368904 \nL 201.008114 125.181517 \nL 202.296305 123.032658 \nL 203.254168 120.975355 \nL 203.839445 119.064808 \nL 204.018344 117.355272 \nL 203.768362 115.896512 \nL 203.080605 114.730164 \nL 201.961245 113.886504 \nL 200.431839 113.38205 \nL 198.528427 113.218397 \nL 196.29944 113.382487 \nL 193.802665 113.848304 \nL 191.101633 114.579654 \nL 188.261843 115.533716 \nL 185.347245 116.664732 \nL 179.524869 119.279936 \nL 174.02326 122.113665 \nL 169.09957 124.949458 \nL 164.887138 127.668603 \nL 161.423938 130.226032 \nL 158.685468 132.619787 \nL 156.613017 134.866021 \nL 155.134388 136.983132 \nL 154.177447 138.983844 \nL 153.678105 140.872509 \nL 153.584444 142.645206 \nL 153.858364 144.29084 \nL 154.475746 145.792263 \nL 155.425811 147.12697 \nL 156.710009 148.267138 \nL 158.340617 149.17911 \nL 160.338977 149.822346 \nL 162.733145 150.148101 \nL 165.554493 150.098119 \nL 168.832628 149.60388 \nL 172.587693 148.587363 \nL 174.64509 147.857082 \nL 176.819058 146.964725 \nL 179.103657 145.900332 \nL 181.489393 144.655086 \nL 183.962464 143.222052 \nL 186.503988 141.597106 \nL 189.08924 139.780037 \nL 191.686982 137.775805 \nL 194.258998 135.595892 \nL 196.759903 133.259669 \nL 199.13743 130.795601 \nL 201.333297 128.242097 \nL 203.2848 125.647756 \nL 204.927231 123.070795 \nL 206.197081 120.577335 \nL 207.035943 118.238515 \nL 207.394804 116.126402 \nL 207.238335 114.308999 \nL 206.548605 112.844814 \nL 205.327698 111.777772 \nL 203.598713 111.133165 \nL 201.40489 110.915453 \nL 198.806904 111.10823 \nL 195.878597 111.676493 \nL 192.701789 112.570767 \nL 189.360772 113.732408 \nL 185.937273 115.099195 \nL 179.133188 118.21113 \nL 172.765171 121.502876 \nL 167.127765 124.713858 \nL 162.353695 127.720798 \nL 158.458364 130.496141 \nL 155.385795 133.062434 \nL 153.044998 135.458586 \nL 151.334635 137.720728 \nL 150.157884 139.874213 \nL 149.430366 141.932279 \nL 149.083598 143.897773 \nL 149.065821 145.765694 \nL 149.341436 147.525453 \nL 149.889826 149.162396 \nL 150.704033 150.658486 \nL 151.78955 151.99223 \nL 153.163277 153.137902 \nL 154.852626 154.064201 \nL 156.894612 154.732386 \nL 159.334595 155.093964 \nL 162.224199 155.088118 \nL 165.617626 154.639193 \nL 167.519412 154.220427 \nL 169.565219 153.655024 \nL 171.758985 152.928976 \nL 174.102734 152.027556 \nL 176.595882 150.935652 \nL 179.234379 149.638283 \nL 182.009727 148.121328 \nL 184.907858 146.372517 \nL 187.907908 144.382739 \nL 190.980955 142.147662 \nL 194.088828 139.669688 \nL 197.183108 136.960153 \nL 200.204555 134.041654 \nL 203.083188 130.950244 \nL 205.739317 127.737163 \nL 208.085771 124.469634 \nL 210.03155 121.230217 \nL 211.486934 118.114218 \nL 212.369819 115.224892 \nL 212.612844 112.666418 \nL 212.170425 110.535183 \nL 211.024665 108.910485 \nL 209.189077 107.846015 \nL 206.709235 107.36383 \nL 203.659994 107.452017 \nL 200.13956 108.066668 \nL 196.261296 109.137896 \nL 192.144576 110.578574 \nL 187.906054 112.294244 \nL 183.652454 114.192368 \nL 175.449615 118.216999 \nL 168.057371 122.165096 \nL 161.730333 125.792683 \nL 156.521677 129.041314 \nL 152.361046 131.954439 \nL 149.117264 134.611071 \nL 146.639719 137.087508 \nL 144.782078 139.441542 \nL 143.414022 141.709961 \nL 142.425688 143.912082 \nL 141.728022 146.054953 \nL 141.251059 148.138178 \nL 140.836284 151.141585 \nL 140.675626 153.982735 \nL 140.733192 157.491163 \nL 141.032532 160.657832 \nL 141.410689 162.800192 \nL 141.941352 164.737844 \nL 142.662712 166.463405 \nL 143.2774 167.489646 \nL 144.025373 168.409374 \nL 144.935493 169.213224 \nL 146.043477 169.887844 \nL 147.393259 170.414449 \nL 149.038543 170.766841 \nL 151.04449 170.908721 \nL 153.489321 170.79002 \nL 156.465442 170.342041 \nL 160.079276 169.471209 \nL 164.448332 168.051605 \nL 169.692939 165.917263 \nL 172.677852 164.517854 \nL 175.918415 162.857066 \nL 179.419948 160.902054 \nL 183.181377 158.618658 \nL 187.192767 155.972974 \nL 191.432327 152.933759 \nL 195.862958 149.475872 \nL 200.428487 145.584941 \nL 205.049933 141.263327 \nL 209.622317 136.537189 \nL 214.012861 131.464124 \nL 218.061629 126.140288 \nL 221.585815 120.705299 \nL 224.388845 115.342605 \nL 226.274844 110.272917 \nL 227.068005 105.738806 \nL 226.634888 101.980363 \nL 224.905889 99.204412 \nL 221.891043 97.553055 \nL 217.68555 97.079044 \nL 212.462346 97.735422 \nL 206.452415 99.38312 \nL 199.917047 101.814981 \nL 193.118336 104.789687 \nL 186.294027 108.066667 \nL 173.306096 114.726226 \nL 152.561043 125.518568 \nL 139.193094 132.375145 \nL 134.623466 134.910673 \nL 131.045545 137.145869 \nL 128.186813 139.214568 \nL 125.818759 141.190469 \nL 122.787498 144.039843 \nL 118.998895 147.596201 \nL 116.982475 149.216958 \nL 114.782077 150.68562 \nL 112.338899 151.956985 \nL 109.607707 152.97612 \nL 106.55874 153.67592 \nL 104.911098 153.881198 \nL 103.182336 153.974859 \nL 101.375635 153.944315 \nL 99.496553 153.776115 \nL 97.553404 153.456146 \nL 95.557662 152.969927 \nL 93.524366 152.30305 \nL 91.472468 151.441779 \nL 89.425111 150.373837 \nL 87.409765 149.089367 \nL 85.458142 147.58208 \nL 83.605858 145.85054 \nL 81.891748 143.899492 \nL 80.356787 141.741168 \nL 79.04261 139.396369 \nL 77.989645 136.895175 \nL 77.234959 134.277092 \nL 76.809945 131.590468 \nL 76.738063 128.891059 \nL 77.0329 126.239776 \nL 77.696754 123.6997 \nL 78.719971 121.332622 \nL 80.081178 119.195465 \nL 81.748337 117.336962 \nL 83.68064 115.79502 \nL 85.830882 114.59498 \nL 88.148179 113.748995 \nL 90.580641 113.256458 \nL 93.077805 113.105351 \nL 95.592632 113.27424 \nL 98.082968 113.734668 \nL 100.512458 114.453567 \nL 102.850957 115.395552 \nL 105.074499 116.524873 \nL 107.164968 117.806972 \nL 109.109556 119.209594 \nL 110.900078 120.703508 \nL 112.532258 122.262875 \nL 114.00501 123.865356 \nL 115.319757 125.492024 \nL 116.479827 127.127123 \nL 117.489909 128.75776 \nL 119.082998 131.966344 \nL 120.148132 135.058794 \nL 120.734021 138.000525 \nL 120.883228 140.772711 \nL 120.628994 143.365611 \nL 119.993864 145.773474 \nL 118.989537 147.990603 \nL 117.617609 150.008034 \nL 115.871066 151.810535 \nL 114.85331 152.623959 \nL 113.736573 153.373533 \nL 112.518752 154.054184 \nL 111.197848 154.659828 \nL 109.772165 155.183264 \nL 108.240551 155.616051 \nL 106.602675 155.948418 \nL 104.85936 156.169188 \nL 103.012976 156.26573 \nL 101.06788 156.223979 \nL 99.030916 156.028523 \nL 96.911962 155.662815 \nL 94.724495 155.109511 \nL 92.486172 154.350995 \nL 90.219357 153.370124 \nL 87.95155 152.151219 \nL 85.715639 150.68132 \nL 83.549883 148.951698 \nL 81.497528 146.959575 \nL 79.605953 144.709936 \nL 77.925287 142.217316 \nL 76.506439 139.507306 \nL 75.398601 136.617509 \nL 74.646338 133.597704 \nL 74.286501 130.50894 \nL 74.345265 127.421455 \nL 74.835651 124.411376 \nL 75.755895 121.556512 \nL 77.088933 118.931521 \nL 78.803123 116.603165 \nL 80.854158 114.626056 \nL 83.187953 113.039597 \nL 85.74411 111.866322 \nL 88.459566 111.111835 \nL 91.272035 110.766142 \nL 94.12288 110.806087 \nL 96.959308 111.198451 \nL 99.735752 111.903301 \nL 102.414535 112.877148 \nL 104.965907 114.075704 \nL 107.367651 115.456089 \nL 109.604335 116.978366 \nL 111.66643 118.60658 \nL 113.549347 120.309231 \nL 115.252484 122.059409 \nL 116.778348 123.834626 \nL 118.13177 125.616479 \nL 119.319217 127.390224 \nL 120.348214 129.144285 \nL 121.963531 132.560066 \nL 123.043333 135.817297 \nL 123.648358 138.893412 \nL 123.829459 141.7805 \nL 123.625148 144.478577 \nL 123.060776 146.99081 \nL 122.148733 149.319994 \nL 120.889243 151.465724 \nL 119.271608 153.421823 \nL 117.27591 155.173594 \nL 114.875389 156.694654 \nL 113.513923 157.3563 \nL 112.039974 157.943105 \nL 110.450139 158.446656 \nL 108.741618 158.856974 \nL 106.912555 159.162363 \nL 104.962441 159.349266 \nL 102.892599 159.402179 \nL 100.706761 159.303614 \nL 98.411715 159.03415 \nL 96.018041 158.572654 \nL 93.540898 157.896664 \nL 91.000834 156.983045 \nL 88.424556 155.808946 \nL 85.845577 154.353123 \nL 83.304621 152.597671 \nL 80.849669 150.530144 \nL 78.535433 148.146017 \nL 76.422186 145.451313 \nL 74.573741 142.465186 \nL 73.054597 139.222047 \nL 71.926285 135.772863 \nL 71.243146 132.185126 \nL 71.047946 128.541168 \nL 71.367821 124.934625 \nL 72.211161 121.465157 \nL 73.565954 118.231923 \nL 75.399924 115.326532 \nL 77.662533 112.826432 \nL 80.288625 110.789725 \nL 83.20316 109.251956 \nL 86.326411 108.225335 \nL 89.578966 107.700207 \nL 92.885975 107.648328 \nL 96.180337 108.027275 \nL 99.404711 108.785272 \nL 102.512404 109.865815 \nL 105.467364 111.211622 \nL 108.243494 112.767735 \nL 110.823551 114.483645 \nL 113.197837 116.314586 \nL 115.362836 118.222071 \nL 117.319913 120.173904 \nL 119.074133 122.143825 \nL 120.633239 124.110945 \nL 122.006787 126.05904 \nL 123.205433 127.975863 \nL 125.12287 131.682545 \nL 126.474164 135.188372 \nL 127.340336 138.478225 \nL 127.78963 141.553172 \nL 127.875288 144.422861 \nL 127.635121 147.100595 \nL 127.092009 149.600107 \nL 126.254842 151.933364 \nL 125.119548 154.108852 \nL 123.670104 156.129967 \nL 121.879537 157.993115 \nL 119.711098 159.685252 \nL 117.119944 161.180496 \nL 115.650274 161.841574 \nL 114.055938 162.435498 \nL 112.330632 162.95312 \nL 110.468501 163.383362 \nL 108.464495 163.712949 \nL 106.314834 163.926153 \nL 104.017579 164.004549 \nL 101.573336 163.926816 \nL 98.986101 163.668639 \nL 96.264248 163.202753 \nL 93.421665 162.499208 \nL 90.478977 161.525974 \nL 87.464824 160.249958 \nL 84.417062 158.638576 \nL 81.383747 156.66198 \nL 78.423655 154.295977 \nL 75.606126 151.525647 \nL 73.009858 148.349469 \nL 70.720477 144.783648 \nL 68.826622 140.866032 \nL 67.414615 136.658922 \nL 66.561978 132.249908 \nL 66.330429 127.749937 \nL 66.75928 123.2882 \nL 67.860286 119.003878 \nL 69.61497 115.0356 \nL 71.975039 111.509952 \nL 74.866016 108.530925 \nL 78.193531 106.171867 \nL 81.851254 104.471299 \nL 85.729204 103.43286 \nL 89.7213 103.029049 \nL 93.731259 103.207585 \nL 97.676507 103.899151 \nL 101.490084 105.025168 \nL 105.12088 106.504662 \nL 108.532631 108.259595 \nL 111.702176 110.218606 \nL 114.617344 112.319147 \nL 117.274802 114.508337 \nL 119.678025 116.742902 \nL 121.835516 118.988483 \nL 123.759296 121.218595 \nL 125.463674 123.413469 \nL 126.964269 125.558876 \nL 129.418807 129.665796 \nL 131.249733 133.498895 \nL 132.572875 137.051697 \nL 133.487484 140.336191 \nL 134.074502 143.373297 \nL 134.397028 146.187282 \nL 134.501868 148.802659 \nL 134.421478 151.242593 \nL 134.175879 153.528147 \nL 133.774302 155.678005 \nL 133.216437 157.708451 \nL 132.493257 159.633383 \nL 131.587401 161.464287 \nL 130.47315 163.210009 \nL 129.116047 164.876204 \nL 127.472223 166.464301 \nL 125.487579 167.969696 \nL 123.097039 169.378871 \nL 120.224276 170.664922 \nL 116.782677 171.780829 \nL 114.819449 172.252463 \nL 112.678786 172.649716 \nL 110.349253 172.956104 \nL 107.820405 173.15137 \nL 105.083538 173.210878 \nL 102.132695 173.104991 \nL 98.965961 172.798499 \nL 95.587081 172.250198 \nL 92.00746 171.412747 \nL 88.2485 170.233011 \nL 84.344256 168.653136 \nL 80.344214 166.612667 \nL 76.315938 164.052075 \nL 72.347131 160.917976 \nL 68.546454 157.170203 \nL 65.042321 152.790632 \nL 61.97886 147.793041 \nL 59.508356 142.232745 \nL 57.779993 136.213948 \nL 56.925572 129.892355 \nL 57.043915 123.470681 \nL 58.186605 117.18576 \nL 60.348213 111.287744 \nL 63.463567 106.014422 \nL 67.413287 101.565339 \nL 72.036706 98.081036 \nL 77.149468 95.63161 \nL 82.56224 94.216216 \nL 88.097068 93.772312 \nL 93.599215 94.19146 \nL 98.943645 95.337609 \nL 104.036763 97.064325 \nL 108.814544 99.228662 \nL 113.238592 101.700729 \nL 117.291298 104.368988 \nL 120.970989 107.142164 \nL 124.287599 109.948721 \nL 127.259053 112.734855 \nL 129.908421 115.461799 \nL 132.261739 118.102988 \nL 134.34642 120.641373 \nL 137.819886 125.375555 \nL 140.540234 129.639719 \nL 142.697179 133.452219 \nL 145.946684 139.868346 \nL 147.934179 143.768141 \nL 149.222933 145.988138 \nL 150.570468 147.925218 \nL 152.042105 149.587112 \nL 153.698262 150.971777 \nL 155.597251 152.066598 \nL 157.797211 152.847317 \nL 159.028403 153.108781 \nL 160.356917 153.27662 \nL 161.790086 153.343872 \nL 163.335083 153.302567 \nL 164.998762 153.143704 \nL 166.787452 152.857245 \nL 168.706658 152.432154 \nL 170.760706 151.856484 \nL 172.952266 151.117544 \nL 175.281789 150.202178 \nL 177.746808 149.097161 \nL 180.341124 147.789799 \nL 183.053878 146.268694 \nL 185.868519 144.524812 \nL 188.761726 142.552771 \nL 191.702345 140.352425 \nL 194.650454 137.930686 \nL 197.556704 135.303487 \nL 200.362136 132.497741 \nL 202.998679 129.553042 \nL 205.390598 126.522747 \nL 207.457022 123.474082 \nL 209.115745 120.486799 \nL 210.288166 117.65008 \nL 210.905128 115.057573 \nL 210.91312 112.800699 \nL 210.28004 110.960928 \nL 208.999654 109.601943 \nL 207.093908 108.76305 \nL 204.612494 108.455035 \nL 201.629546 108.659333 \nL 198.237899 109.330767 \nL 194.541718 110.403393 \nL 190.648647 111.798264 \nL 186.662533 113.431808 \nL 182.677598 115.223374 \nL 175.018196 119.005366 \nL 168.127643 122.725075 \nL 162.230091 126.171489 \nL 157.373551 129.290945 \nL 153.496847 132.11681 \nL 150.484027 134.713667 \nL 148.200943 137.144693 \nL 146.516733 139.457804 \nL 145.314831 141.683097 \nL 144.497432 143.835585 \nL 143.986214 145.919489 \nL 143.721129 147.932248 \nL 143.658354 149.867569 \nL 143.768059 151.717449 \nL 144.032366 153.473235 \nL 144.443658 155.126021 \nL 145.003338 156.666533 \nL 145.721028 158.084618 \nL 146.614202 159.368474 \nL 147.708206 160.503563 \nL 149.03661 161.471229 \nL 150.641795 162.24692 \nL 152.575669 162.797914 \nL 154.900255 163.080431 \nL 157.687777 163.036 \nL 161.019566 162.587125 \nL 164.982637 161.632524 \nL 167.227912 160.926339 \nL 169.662106 160.042893 \nL 172.293186 158.961383 \nL 175.126627 157.659402 \nL 178.16429 156.113388 \nL 181.403049 154.299368 \nL 184.833099 152.194116 \nL 188.436002 149.776819 \nL 192.182475 147.031362 \nL 196.030045 143.949309 \nL 199.920779 140.533578 \nL 203.779385 136.802718 \nL 207.51214 132.795435 \nL 211.007221 128.574858 \nL 214.137068 124.231623 \nL 216.763382 119.884671 \nL 218.745154 115.678512 \nL 219.949599 111.775893 \nL 220.265246 108.34548 \nL 219.615512 105.545316 \nL 217.970546 103.504149 \nL 215.354659 102.304146 \nL 211.847347 101.968854 \nL 207.577012 102.459622 \nL 202.708205 103.681697 \nL 197.424818 105.498765 \nL 191.912455 107.752431 \nL 186.34307 110.282256 \nL 175.591971 115.613269 \nL 161.725013 122.946152 \nL 151.25417 128.753767 \nL 146.018129 131.892725 \nL 141.926164 134.63709 \nL 138.742212 137.132101 \nL 136.24734 139.480682 \nL 134.251211 141.745306 \nL 132.594059 143.957585 \nL 129.792702 148.256727 \nL 127.756905 151.350091 \nL 126.284887 153.328392 \nL 124.643811 155.222112 \nL 122.771751 157.012879 \nL 120.607791 158.677122 \nL 118.090713 160.182874 \nL 115.15919 161.485343 \nL 113.51934 162.041442 \nL 111.75415 162.521108 \nL 109.857495 162.912328 \nL 107.82433 163.200977 \nL 105.651138 163.37057 \nL 103.336512 163.40204 \nL 100.881852 163.273578 \nL 98.292206 162.960567 \nL 95.577248 162.435716 \nL 92.752374 161.669398 \nL 89.839884 160.630361 \nL 86.870155 159.286848 \nL 83.882723 157.608297 \nL 80.927081 155.567639 \nL 78.062967 153.144289 \nL 75.359932 150.327717 \nL 72.895858 147.121425 \nL 70.754228 143.546948 \nL 69.02003 139.647306 \nL 67.774384 135.489166 \nL 67.088206 131.162943 \nL 67.015647 126.78018 \nL 67.588111 122.467917 \nL 68.809932 118.360291 \nL 70.656516 114.588279 \nL 73.075467 111.268928 \nL 75.99062 108.495895 \nL 79.308389 106.332603 \nL 82.925401 104.80913 \nL 86.736264 103.922938 \nL 90.640411 103.642922 \nL 94.547362 103.915769 \nL 98.380067 104.673259 \nL 102.076441 105.839496 \nL 105.589394 107.337147 \nL 108.885761 109.092253 \nL 111.944612 111.037497 \nL 114.755246 113.114051 \nL 117.315163 115.27227 \nL 119.62818 117.471557 \nL 121.702767 119.679675 \nL 123.550637 121.871753 \nL 125.185608 124.029205 \nL 126.62269 126.138622 \nL 128.965091 130.179808 \nL 130.698874 133.956936 \nL 131.934128 137.463705 \nL 132.764709 140.711389 \nL 133.266588 143.719847 \nL 133.498253 146.512213 \nL 133.502118 149.111925 \nL 133.306301 151.541125 \nL 132.92634 153.819853 \nL 132.366643 155.965707 \nL 131.621542 157.993644 \nL 130.675932 159.91581 \nL 129.505484 161.741173 \nL 128.07651 163.474854 \nL 126.345555 165.1169 \nL 124.258887 166.660268 \nL 121.75218 168.087645 \nL 118.750867 169.366572 \nL 115.17204 170.442323 \nL 113.138973 170.878404 \nL 110.929322 171.227818 \nL 108.533404 171.472422 \nL 105.943031 171.590201 \nL 103.152372 171.554731 \nL 100.159071 171.334677 \nL 96.965627 170.893401 \nL 93.58111 170.188806 \nL 90.02317 169.173547 \nL 86.320328 167.795847 \nL 82.514419 166.001142 \nL 78.662972 163.734869 \nL 74.841202 160.946656 \nL 71.143073 157.596076 \nL 67.680831 153.659959 \nL 64.582304 149.140831 \nL 61.985297 144.075526 \nL 60.028829 138.542539 \nL 58.841434 132.66602 \nL 58.527688 126.614432 \nL 59.154869 120.592266 \nL 60.74237 114.824587 \nL 63.256299 109.53608 \nL 66.610877 104.927921 \nL 70.676795 101.156976 \nL 75.294884 98.321381 \nL 80.292414 96.455113 \nL 85.498885 95.531687 \nL 90.758862 95.475169 \nL 95.940477 96.175267 \nL 100.939457 97.503251 \nL 105.679393 99.326045 \nL 110.109383 101.517016 \nL 114.200248 103.963014 \nL 117.94024 106.567965 \nL 121.330888 109.253841 \nL 124.383348 111.959752 \nL 127.115372 114.640005 \nL 129.548927 117.261716 \nL 131.708371 119.802337 \nL 133.619105 122.247398 \nL 136.795715 126.821935 \nL 139.272669 130.965 \nL 141.223242 134.693542 \nL 143.480103 139.581233 \nL 146.382382 146.1328 \nL 147.4875 148.274926 \nL 148.659 150.169258 \nL 149.952896 151.822305 \nL 151.422585 153.232185 \nL 153.121495 154.387854 \nL 155.10512 155.267938 \nL 157.4323 155.839113 \nL 160.165444 156.054039 \nL 163.36916 155.849029 \nL 165.167396 155.564138 \nL 167.106397 155.141937 \nL 169.192518 154.569128 \nL 171.430756 153.83131 \nL 173.824164 152.913172 \nL 176.37313 151.798836 \nL 179.074497 150.472371 \nL 181.92052 148.918532 \nL 184.897685 147.123799 \nL 187.98538 145.07774 \nL 191.154534 142.774726 \nL 194.366271 140.216031 \nL 197.57078 137.412219 \nL 200.7066 134.385701 \nL 203.700584 131.173217 \nL 206.468877 127.827824 \nL 208.919209 124.419928 \nL 210.954737 121.036758 \nL 212.479508 117.779714 \nL 213.405357 114.759223 \nL 213.659687 112.087117 \nL 213.193236 109.867057 \nL 211.986616 108.18422 \nL 210.054451 107.095855 \nL 207.446087 106.624587 \nL 204.242457 106.755919 \nL 200.549471 107.440574 \nL 196.488892 108.601329 \nL 192.188267 110.14287 \nL 187.771389 111.96282 \nL 183.350576 113.961865 \nL 174.860358 118.159905 \nL 167.250532 122.230552 \nL 160.769181 125.93272 \nL 155.454705 129.221016 \nL 151.220627 132.153105 \nL 147.921578 134.81913 \nL 145.395576 137.302639 \nL 143.487511 139.66553 \nL 142.060279 141.946672 \nL 140.998561 144.16633 \nL 140.208599 146.332053 \nL 139.374977 149.478506 \nL 138.648405 153.461736 \nL 137.116643 162.997406 \nL 136.533935 165.248992 \nL 135.778713 167.374667 \nL 134.781771 169.392827 \nL 133.939354 170.688174 \nL 132.916035 171.949913 \nL 131.670384 173.182584 \nL 130.151751 174.388731 \nL 128.298353 175.567193 \nL 126.035258 176.710335 \nL 123.272526 177.799632 \nL 119.904082 178.798707 \nL 115.808479 179.642596 \nL 113.446885 179.974407 \nL 110.853717 180.221668 \nL 108.012897 180.35993 \nL 104.909997 180.358677 \nL 101.53355 180.180232 \nL 97.876831 179.778684 \nL 93.940181 179.098904 \nL 89.73397 178.075942 \nL 85.282238 176.635053 \nL 80.626946 174.692849 \nL 75.832653 172.160167 \nL 70.991135 168.947337 \nL 66.225149 164.972524 \nL 61.690146 160.173617 \nL 57.572369 154.523433 \nL 54.081639 148.04702 \nL 51.437551 140.838234 \nL 49.848912 133.071318 \nL 49.488204 125.002299 \nL 50.465277 116.955754 \nL 52.806138 109.295552 \nL 56.442958 102.382932 \nL 61.219115 96.53035 \nL 66.908804 91.961905 \nL 73.246652 88.789981 \nL 79.959955 87.012459 \nL 86.796573 86.528797 \nL 93.543952 87.168192 \nL 100.038119 88.721689 \nL 106.164141 90.97124 \nL 111.850856 93.711536 \nL 117.062828 96.763539 \nL 121.791706 99.980532 \nL 126.048381 103.248662 \nL 129.856543 106.484034 \nL 133.247725 109.628073 \nL 136.25772 112.642424 \nL 138.924062 115.504142 \nL 143.375062 120.730781 \nL 146.884904 125.293999 \nL 150.924987 130.995329 \nL 155.053773 136.774803 \nL 156.916603 138.994992 \nL 158.795745 140.811617 \nL 160.778601 142.239657 \nL 162.936783 143.28079 \nL 164.100282 143.653308 \nL 165.328412 143.92406 \nL 166.626422 144.089878 \nL 167.998669 144.146978 \nL 169.448516 144.091032 \nL 170.978183 143.917297 \nL 172.588559 143.620735 \nL 176.046881 142.638789 \nL 179.793962 141.107884 \nL 183.759843 139.004578 \nL 185.78904 137.73851 \nL 187.822538 136.334989 \nL 189.835368 134.802651 \nL 191.79846 133.154555 \nL 193.678832 131.408751 \nL 195.440086 129.588683 \nL 197.043207 127.72333 \nL 198.447768 125.846966 \nL 199.613475 123.998475 \nL 200.502056 122.22013 \nL 201.079391 120.555847 \nL 201.317711 119.048987 \nL 201.197692 117.73984 \nL 200.710205 116.663046 \nL 199.857476 115.845207 \nL 198.65353 115.303062 \nL 197.123762 115.042387 \nL 195.303685 115.057887 \nL 193.236949 115.333999 \nL 190.972852 115.846589 \nL 188.563634 116.565242 \nL 186.061786 117.455815 \nL 180.977617 119.612521 \nL 176.066969 122.056995 \nL 171.580857 124.58907 \nL 167.670534 127.081272 \nL 164.403305 129.468157 \nL 161.786146 131.725936 \nL 159.788801 133.852682 \nL 158.36238 135.853836 \nL 157.452653 137.733597 \nL 157.008611 139.490849 \nL 156.98745 141.11789 \nL 157.35701 142.600467 \nL 158.096554 143.918216 \nL 159.196422 145.04498 \nL 160.65692 145.948763 \nL 162.486521 146.591382 \nL 164.699308 146.927925 \nL 167.311328 146.906368 \nL 170.335446 146.467884 \nL 173.774041 145.548617 \nL 177.60896 144.084158 \nL 181.788374 142.018264 \nL 183.977995 140.747866 \nL 186.210948 139.317384 \nL 188.464115 137.729681 \nL 190.709397 135.992061 \nL 192.913533 134.117159 \nL 195.038172 132.123799 \nL 197.040319 130.037663 \nL 198.873212 127.89164 \nL 200.487689 125.725723 \nL 201.834091 123.586293 \nL 202.864654 121.524657 \nL 203.536288 119.594861 \nL 203.81352 117.850781 \nL 203.671344 116.342736 \nL 203.097634 115.113918 \nL 202.094781 114.197094 \nL 200.680311 113.612041 \nL 198.886282 113.364083 \nL 196.75753 113.444005 \nL 194.348892 113.829356 \nL 191.721794 114.486946 \nL 188.940555 115.37613 \nL 186.068852 116.45243 \nL 180.288038 118.989579 \nL 174.778733 121.782155 \nL 169.812925 124.603162 \nL 165.538361 127.322821 \nL 162.00456 129.88753 \nL 159.195063 132.290067 \nL 157.056067 134.544066 \nL 155.517896 136.6672 \nL 154.509288 138.672396 \nL 153.965978 140.564586 \nL 153.835265 142.340458 \nL 154.077951 143.989409 \nL 154.668687 145.494665 \nL 155.595423 146.833972 \nL 156.858353 147.97973 \nL 158.468515 148.898506 \nL 160.446026 149.550068 \nL 162.81771 149.886132 \nL 165.613713 149.849113 \nL 168.862437 149.371464 \nL 172.582952 148.376432 \nL 174.620882 147.659213 \nL 176.773843 146.781754 \nL 179.0359 145.734319 \nL 181.397629 144.508305 \nL 183.845387 143.096968 \nL 186.360554 141.496318 \nL 188.918802 139.706205 \nL 191.48944 137.73153 \nL 194.034958 135.583566 \nL 196.51086 133.281275 \nL 198.865921 130.852473 \nL 201.04304 128.334671 \nL 202.980784 125.775316 \nL 204.615717 123.231234 \nL 205.885509 120.767005 \nL 206.732703 118.452184 \nL 207.108895 116.357354 \nL 206.978906 114.549326 \nL 206.324408 113.085866 \nL 205.146521 112.010743 \nL 203.466867 111.349745 \nL 201.326814 111.108451 \nL 198.784922 111.272066 \nL 195.912897 111.807527 \nL 192.790562 112.667365 \nL 189.500541 113.79481 \nL 186.123289 115.129229 \nL 179.394648 118.186046 \nL 173.07859 121.438196 \nL 167.472642 124.623812 \nL 162.714637 127.615723 \nL 158.825318 130.382165 \nL 155.753309 132.94235 \nL 153.411176 135.332998 \nL 151.700157 137.588967 \nL 150.525235 139.734964 \nL 149.803276 141.783897 \nL 149.466676 143.738388 \nL 149.464347 145.593187 \nL 149.761249 147.337335 \nL 150.337299 148.955653 \nL 151.186086 150.42938 \nL 152.313665 151.736068 \nL 153.737495 152.84878 \nL 155.485477 153.734705 \nL 157.594903 154.353277 \nL 160.110978 154.653877 \nL 163.084385 154.573327 \nL 166.567045 154.033636 \nL 168.514217 153.562854 \nL 170.6049 152.940824 \nL 172.841968 152.153547 \nL 175.226115 151.186488 \nL 177.755097 150.02499 \nL 180.422848 148.654859 \nL 183.218466 147.063198 \nL 186.125076 145.239495 \nL 189.118637 143.177035 \nL 192.166738 140.874603 \nL 195.227538 138.338503 \nL 198.248976 135.584707 \nL 201.168495 132.641077 \nL 203.913512 129.549301 \nL 206.402933 126.366171 \nL 208.549902 123.163772 \nL 210.265931 120.028066 \nL 211.466385 117.055473 \nL 212.076963 114.347324 \nL 212.040585 112.002362 \nL 211.323801 110.108019 \nL 209.921678 108.731681 \nL 207.860205 107.913384 \nL 205.19558 107.661389 \nL 202.01025 107.951629 \nL 198.406254 108.731196 \nL 194.496873 109.925251 \nL 190.397877 111.446001 \nL 186.219622 113.202065 \nL 178.004921 117.084137 \nL 170.447491 121.026684 \nL 163.875421 124.719333 \nL 158.398089 128.053457 \nL 153.980943 131.044492 \nL 150.512073 133.760791 \nL 147.848954 136.278095 \nL 145.846703 138.657991 \nL 144.372967 140.94197 \nL 143.314394 143.153304 \nL 142.578193 145.301747 \nL 142.0911 147.388358 \nL 141.797149 149.40939 \nL 141.631456 152.305065 \nL 141.719992 155.019292 \nL 142.018538 157.534017 \nL 142.51786 159.834186 \nL 143.237329 161.905319 \nL 143.86078 163.150313 \nL 144.622155 164.278612 \nL 145.547759 165.280518 \nL 146.670742 166.142675 \nL 148.032159 166.846628 \nL 149.682236 167.366916 \nL 151.681721 167.668536 \nL 154.103111 167.703576 \nL 157.031337 167.406833 \nL 160.563162 166.690336 \nL 164.80389 165.437014 \nL 169.859113 163.494544 \nL 172.72133 162.206686 \nL 175.817788 160.672037 \nL 179.151967 158.861539 \nL 182.721394 156.745297 \nL 186.515469 154.294035 \nL 190.512898 151.481228 \nL 194.67876 148.286118 \nL 198.96135 144.697719 \nL 203.289113 140.719838 \nL 207.568071 136.37694 \nL 211.680463 131.720429 \nL 215.485388 126.834409 \nL 218.822459 121.839638 \nL 221.519313 116.89385 \nL 223.403425 112.18661 \nL 224.317945 107.927213 \nL 224.139997 104.325408 \nL 222.798676 101.566823 \nL 220.289064 99.787054 \nL 216.678507 99.050245 \nL 212.102767 99.33796 \nL 206.752024 100.55185 \nL 200.849395 102.530028 \nL 194.626586 105.072849 \nL 188.301594 107.971594 \nL 176.056616 114.099801 \nL 152.047674 126.709335 \nL 142.708739 131.762142 \nL 138.147792 134.465572 \nL 134.586763 136.865676 \nL 131.767484 139.093552 \nL 129.468953 141.226197 \nL 126.605269 144.319131 \nL 122.274489 149.192051 \nL 120.403712 150.992546 \nL 118.337064 152.666978 \nL 116.010585 154.178815 \nL 113.368383 155.482195 \nL 110.363596 156.518373 \nL 108.713884 156.913358 \nL 106.962015 157.211543 \nL 105.106839 157.400116 \nL 105.106839 157.400116 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pc4f50c0e8e\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(results_test_np[:,0], results_test_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(results_test_np[:,0], results_test_np[:,1], results_test_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.io\n",
+    "\n",
+    "scipy.io.savemat(\"Lorenz63_fitRandomSample_RK4.mat\", {\"x\": results_test_np})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/examples/ode/lorenz63/Lorenz63_fitRandomSample_RK4.mat b/examples/ode/lorenz63/Lorenz63_fitRandomSample_RK4.mat
new file mode 100644
index 0000000000000000000000000000000000000000..240a71a663917d0b6c90fec668616cc1a0a3d244
GIT binary patch
literal 120184
zcmbSS`CE<O*KVHYd7d<D9yG{#_D%yyN+DA!86$Iwk4PCxnL<g4N+Kdcr1PwmB%xGP
zN<xF75s6Z~=ZEiK@Sbz+>v_&~hU@IL*S^=i?zQ$@8stme^&G8i^ybna%hl^PtkUz}
z5Vn2wrmY)Y^)_$Xwl2m(Z|2rjVcS<l=xvH})tkF1N{{YXqi1KYXY1r@@9b)8uV-gt
zXUq5hc<|4jE5rNR@GE{k5#CjdH$?yUGs6FSEoZ{VC&;_!=RITo_df7G&&RiqIn}kE
ziINIo{(1*98*c?Ov4tVb&WG!m#_O@nY}-SO$G0@5$1IPTGEvH?oq5Wfu=~JtsZB63
ze$piGm=4Jku_LF4y-CmUP%>=uAIUwIN{n016FK!;<V4&Pvd6NM-1QhE=lUe*-K`ol
z%zP@%{_aNWPR^tGx5H`Yn;o>$Hj&m=rBEw}Q*=l)lMcPereUTzw7NZ;>b*HjSJ5=;
z5SC0U=j^3dwb#(iGv?CJ^LBKZyc)e3J3+QPJtKGdvx&|22=Y=@g(UQ3GcUhv;565o
zvm>$(S)V(S@M@+5NV)|>nSKo1cTR>A^=II$L@t<XT!W`(cfdEa0#x5u!LldMV2w>9
ze6Vc=jm{46o7Dv$cYTKQ@dMBs@g2UH|AK~=KQKCt5BsA9aDI^x{%aILvwkuBZ$tv8
zevv})Co*^;Sq{Bz6p&M@h&2kz=rv0P0|Qj?gSi^cYgEHTPjwVXP{&_M>gcmX9WRck
z;i@HSSdprV2T!P==Q?FnQCGrKmlUu{Q69(E%3}FdX}tDM61PZ5V7k2+Cae&_kTf9_
zekFkajQH`3#y<$unt&e*$KdA6QOG$u0#c{H!`@HBP<?m^CUy<N8Fm077Y#tU`v6Sm
z%}G^Z5XOHDf{f8H@aKI4!N?y_75fvmKl=sTrQ=X(Gzk(4e7K~LACu+_qM)=eer*y#
zwLCF2h?c;RSyI@qB!iXBvUvBfJf1RAM2kWt+$gDnJAG8~eyAFX`lw@>fCk<_q=A>4
zHL!C)15=)BVChy3bo!u<FV)piN>>eMjHuwMY-Kdi<;^>eXFHU`ul+KZDk_bps*-q9
zUmQm)L@|jYjQ5ucVssKerf2+vGXDv<<30uoJ4Rv0zz?``^BWXY4ndajApCvT4=DqE
z5E|GAKjr$s(YO!dPWHi-pni~w9Dw+yK?pxG3`dTAhlOuP;LOHfkj5DYVV_A5@#I6b
z34Sc97R0U#!g%taD9+d>j(Xve=-?-fE_Sk5B_@w^o-5#tol2-8q=L~KRgo!H!yBlM
zd-62!=R8f6uhPVmlbWdTM-$~9YT`K2M5`kj_&rM<H^!>r2}4yB&QnIoaYYQXRzSVk
za(Hg847$&h!gw1A%-0mdN(m9n7Zk!WNdXiz<wKhX6JQuJ2F5c-;n1cZaQ*WzsNNog
zjg9?qcy=EoYJ7#KUSB}H{xf9V{tTagd<LmwUmz{vD;%!xgP6?&uw~^C@Ll=_7Pcd>
zMerAtsf<Iws!536&WE$-3gA2!Aq;a6!M`qI800B|On?+F43@!fL2@{QD&TBYCDd<F
z#_qMM_`X#QZ)$4b3JXn45YfVr0xkS4rj64rw2@y{8;we|@PMKg3Oj4!etivm+@yx<
z16A?yC1tF9sfdr-<Z*YcEY=oC<GE-_tRmw0SyB|k-U;DUt^hXO<ioeolVI?83^Id8
zVTHvHNS;3o)1MDOes&+I)qVlZpwF;n#wV~i)C&)6d*O#$FX$Hbg22{K(3$ZWcJXYY
zInoEo27@4(I}E{5Kj7T{Q3!uC1{oVBft$&PerE)*J6{OJD@E|jXWqP(c>jeXjS=Cp
zs2?kjcm7kv%GJu)Yom&7uXt<ctAR^SYNGH(Efm<UjR!?_upn3mcdXJuc}pEEy`hbF
z2DLD;UlX&hY2Y?{bzFE*75$2oalB9wS09weE+1KZKPiRP1rqq$R}4je3FCN?AhvGd
z$Fo^~VI*Z7zE+GvqSFt!$u|r>x&tsZ<109A`V1Q{_ripG56qw04c1q>;MVpoSaqoj
zd|bPE7}f(*lY60<e1`4wzk=w)epnwn1PTYg!`rt%K`>?v6ayw<GtagU>jh9jKp3yP
z^K70Xj_2P<;toR@%w5g%#j^^SdshiN@2X&Ini`gQYM|*8O+<NZl-AS1c>_9ld513A
z-_=F)>$*6!SQoV`bnrl{Hcq{vh1Q;$SeB!X^;N3qTCR)%$%@$EB9Av4c)qk)3iq~&
zqsUTGZ2KsL?J)uvF@+EJy!-?9XMcg*)gK@zISel<`$4AV3oP>e1T&0#VAGl|cq;!9
z)*62R?xpvTbL>6%cfE&`IUk^~@*^zs>4tyyy|DVf&+tjN5BxL+p?UQ;(BS(C67PRQ
z`@aeJTf~RL!vYxQEsXrvMKM%U0#j0?&}>`=_bivk_#2A&^RqJU5>Uh2BkH)WOcQT=
zX`}vG9sF`d7ZtYa;kh4rm}8`m+r;#-?3^C1ey@wqT6Hk)ur~UPXrhdP2A)>q`Ff`^
zUXJ7W`CmB<T`PmyRg$<tLmZ>FiQubdL9Cj?k69&?P%1hG^YTX^?KsarU-g4y^cOg`
zyBA77cflZhfb$~nA)x#nwDMxpvh5uZ71IGKeI3wV`wr@q-$U}#58&9<1$$QX!g1Fx
zAitT1bAN{5>+2t|eEb*851W9^@qDP&Cx9>33ZuzSQJj}7fy4UJ$lQ@du^9@;Em6WW
zNmWdDSH~7VO-wP>#+fxde>Ty>N{&8CNEl#gq5)PH8DQ=n1JoSX$2|u6cw|f$Hznxc
z`NvvVTCIVeN7e9(p$a}ZsfcYK<Z!yC4BF0;MBE~Vhk1CK{Z;^DEcvj~{tvvIHwt+F
z8$8)H09P}=K!<KGq{((c`^NY1V8%O`75^4$UE1OKnl^BdY=ebU+Cb<=8=Se;4kPLv
zkUsJb4!L}Q;GQnf8R><HFy3A_9fV}}@8EKE6gn6EfdYL#EG`ki;f2EZLQ)LXYb8+U
zh&1MT%i+&o3OJFbjDd=3xOSrk=AG5TQ^$1B*jo=@m+50~hXH2aoPwJz4AI`t5Z#mv
zacA5V+;Y?a7kKOAYo6cB)M(?9Y)#ahrjGIFRB(2SBF6uaL!WVJy!cZBt%pQWXIKcw
z`2^4|@GmHT{0(~LKfw9RAY9$?6_~ZXF#pL%7)<YkfsVJJmemGcuUcW(p%&n~+YAXS
znqf*pGbHM^K&xFVe0lH&)bF%In9e)!`SBh;T6e>Z`cIJkq7S}I83w86BXEH`27W*O
z!eSc%H2y1uP937C@k9c#R2q}c%b`0D&%8WU@Yt{#wr|(OH@rD4>e9tM<-B#CJq6Pe
z4H4ED;h_N|3{fz~m9LC2+TIAgZ4J@4!2pZZ^wC&G7pw1UVWlAt7Z$5xR+tjX&z8qT
z4H?AuJWf;~iYK=Vq3i;Fe4R4^dT&NSV&yk@J*yu?PJMzn-!3>4(+O1jE!c710N=Z2
znDh4)bmTO_)5=CTxVjNUk{jX4)Fya0`xWqid<{w8T43XjHsGx90JZ1u;nbOKD6RSo
zPyGjAnZtKbSo;f(bxlCAA3v`46yn8UQ7l~}f%6VXW7P#Y+*G27I>jnzoT`o~9$IKs
ztAmq@`skuI1@FEv#3>fWIN!nqch{KUjtLX|`q%`w8Jb{`x-ptvF~s$)23T0Ehq(?q
zxR__R${01=Iae81{pHO&oyS=Wd47IV6z_Toq2n+gI&b&`7syZ85IF=Je}91^-@2hI
z<UM@#dJCtDTOt1JYcQ5*f?xa%a5TOiUL3B2zbbX`)w~V{E9*eAqaOOB8=x<>38ZwJ
zVa)gqe82b>xJP)H*VzqY>0jVp@gNjx@z$Id&t|>-2mI24xO%1to=z4=sdgzmXd#Dx
zcknRix(cQ|RmbyOEgX;6#WP~Oee7+BjSj|GTy26qBc_;DW`?Cw<|sU9hDVl~VeCRv
z<a{*7C?O+EuQEUp3q9QJsf`U<8d$(p!M{$5*ne6U-Fqa_&rS?492UY4-}!Lu&vBR?
zFajQ8gCJn?8RW`7!sMe4I2`Z>o~?Qfn}r&o)4CqEet8brw$DIAtQN#KJO$ZhPhmsz
zQ;>O63+KX~!;X!0@L=pExCy?3?FU<6)82M?@P+3y&<%EzU!e8u5bQkq6Q(r&0bfgg
zlsPJd*M!6{FG&(lD#_yXECoEOqJj@%)G^?m7H+TBMd?ffR53Qfz7P}4b1}n>*UWLS
zcq(SNTHuI}1$J~y#oQm}sC>)}ci%C=h$ti6_{abUSY6E6tc5CFYM5!HjQ@Gb<GVm<
zT)b2qAFdO|=45`ndh!n}Up@kM2M0h~^Ap@K`2d8sS9P8>Lse8G$mQ2T{KjXn;du?%
zVl}Lt^BAPpSHT6%Dwr8k1@+dCp)0i-`gYWSeorkVwZ4EZ-v-FyyoNhh-avlRJDB#S
z3nET_fvLqqu)=T@_Vi5vhsRd~b9nrCkvKYNOJho}9Hw4TLZzi@Xf~vY#=O`(bi@Fi
zb{XMo6;m`?V2)eNEHEU=5`#8a;fH5dD3))9yMI_>dAS9u@=wL%wWgS@Z;Wr`r{K9l
zUEI%$YZF3h`0|S)UcV)aPopF;na9iLj0vD$<s?AIPq?sX5MDE%;8@;!*qYh~&xBvY
z3x$`^QuYjPk3WGoZ>r$h!b-Tc8KByj1^1m?&=2K;PA3;0e`8_aX@s07k6`|RYPj_5
zDQrxC0S-M4pjFZg4@cW!?B)k(ee((Ct{()EB|l*r4_B;J1yE*E7~{so@w%W47RoE&
z5;Yafl+-}4ciOmhzdjaxF+^)&Q`}!|jzzkb_)O3mPpz@RDr$=-kJzFl@9H0BgC&Dj
zcxBK6Z>=-OKkH3!;@=dUbkf5kQ?z*bk18HpqKE}GJbq*)fnUxEW10>>?m9RIoo3&_
zffskDJ>l_?jy6a=^a>)M*TLD6r*PEuF_^DI5aMv*T3I=KZn+O%&Xz&U#68fSya&#_
zd-b~eAbPeOX8)=Hy<Pw|yb7kRuYo0F&!JGN5i~Bez+`a;aP7OH*rX3?_kV|7)5pPN
z3O|oW3Zq1-IPQAS!#Gz3G(WC_mzy+D{Fe^u_8H)04iD3W&9Pm=65n62#>z6@oIUOF
zyqg1#pLW2{z7A*>YLEJjw%Ax`jaLUOaO!n4+%#&0XWI19V1qUWbJZ}ro441$$>8GO
z;&@w37~Smna8&3Q%#|1fkHbBneyjuTO>G8&we?^;=P8W7c?4dnEX))tho=|r!S%jU
z5bC-G%M(jr<oQi#y?+yAW|cth_FGWyRtlNfcOmQ4eX!K6fV-{;2fH7`b@gY^-24)h
z)mosWwF7z-dLW1G2fOAGkoBDeHwi)1JT8jYt)%ckyBwAzD`T0J23{-EK|da*&vi4w
z^9ob(`(Z2Oq}pPri~~NMa72qaPG~&jgwH-Wp`xA>Y85%6<6(Qe2R2w3W{J+b%}_<p
z2=7Md;js`+Ts}nwV`}7(;pKq2f+F~$f)771zrZJI02;KqA#`~=$a9(?;psErh&~3L
z2`<3Z`_QL&2fj@!0a1lwIGbApDLq$US4$yuZZ8D)2Zb;<{|YaD7lFZ&>#$kxCam3e
z8ya@rg9M?6Fozd{D_>QEuHp-rXm0|IsqLWp=OgHN_CXro2$UI2g4sMlykaYc?$*+H
z*^Q?e_^RSve=Y2E(nq;rBdl9xj@(2mv~sq?ibzM)l5)m(qOR!cKOK$RrsJIR({Wm+
zE4sXN#zgOF_+HW;9W1S}nQM;snvF0nMGr6j=H>17%Gensi!Zl|W64E9bpG@QjtmdO
z+t^-slkpZVhBSdeYb_j=c?7RTAA;GFJMiD!n=o>=2$o&F3<q}SL#B8xMEYNV!Z|sh
z@asI}`sMJ(1%MwHL3w&U7#m!M_JXUh;Yl&f-G3XzntA&Ixll$QL(YQd@OZ2VWX<2g
z*!ym9P#uIBkA6W+KOY`56v3nWB+>Dw96Ih$LCtTPIDe5oGN+93z{#n&e!2~=+v$M)
zR?cWPXF6)!n}Knm4Awgn)SpK1X&{5uCud;Gm@Cda?Sy{O_PFVm6$Xc!VdsS@*p;M>
zo-V35@l+1|7f9gT?}Avi{txJe4uRRnE=Ur41GznQFmdoPwETPsT&Fu=I<FYS-3lRW
zA{WY2&O^@UOc;^KfWX1iFfa8K6n;#DU0>2*N%kp-8b1xulj+cqmkB%jvZ256B3Ldi
zfa80LAde}5@$>g!Jd+C<cGVymQ3u;BS|Iw+d#H>03iWSBpzGm3*q<njnF}P5j~A0t
zym?yEY;8R2JOu~-nqmZR{pD`hWAjR9^f}~)<$oCrFLB3<Ngn7H?TL|*o_K4e2Zn~a
z<JENxE<HLO4Z5aba=a~X6HY}(1tawI(7~T>s@SO^hYQEW@W}{27L!p}ulohu^525c
zr<agC_81I4m&57@w_s@7RZv#WgUoYT5FnTiSG`Vx-HM~|&+`a~jU0we;fLTs@<HHV
za}Z>{AA~I?hvBGTGUO(tz{5+&;Lh4K(0-l{x-YX})s9@~dsql{mv4Za(>?HuWFgX{
z1}w1wYTvcP%8Xvv(fbXYxs$MqhfCL2Nn+$zdE9@9hgs&jXu&nYC|<0)<!^_tl$}vv
z@eF)CMsZ%NCyq7G!uEC_3~8Lh%hTszOoR_wO?czBI1l_e$>5q(uBaR4fLjk);x8UI
zY~HDZG*ty{kIUeu3nJKco2M6D8H7dN@8RP0M)>jlF|0Cq0KbE7!2W%gAp2?-B)&Wa
zJ^iV0>h~eA>)Q`uJNLkGjD~{TE#M#?1sXk(@XjO>zE(xTosy04wr4Y#EZqSIq<2Hy
z<UV*Le*j{ul3;=AF}Npn8V+4P2Y<ij!lt&XFdlOooS!~~rsvflp2&-n18?Dm;1>{v
zpP+Sw$47RF;fy?4{P$A@gF<!i^fMzI(z3*Tjt<EE&fE9a6e}KiVawq;SQ0!BP37m~
z*VBQxy)h6=%IBkCfIntr`QpSaZyYG0Jnra<Cj{-$qu3lr`}HxqUkzur$YKpo3w7k1
zfXhF>Lg1}72nc=#PJ9($^xy{kJemia;xi!T*ikUMeE>3^?1rtDQDD3;9O?^#VcB7S
zSS95HHJYAadXa)x5(D%R2Ux;@;3$FdH#5PZ*Bjoc%!Q)$fxv!T0>}2Rga`9BLPtOh
zSk2xKaxzJ9anEsBcs>K3Mqh*|=_0USdk2J40GR)tgMjNBSpKLNRw(fF4;cYG{7D>_
zi7Q}5xCV~!a=Z^KregUMdo&oDj_0n<<Z&M#{HhgzE}ItO$`ea4H+VUw<c46&q7d8`
zwG3~64aVi2fta#kE}p9JL=%x2sJ_=8byk|;%RU`+o~MKp72>$O>M!iA_zKPETR`>X
zV^~>Q3eQw8!OyBQ@cdyCn2qd)r#-9TjeQUpvNM5Q<p@WF%wThj4*2FM!;N4W2t6nU
z<x)a0(8vc)2PfGNr~a^RxBjq&Rg<jUTRtdZ1>x9XQJCf^1%=h}u%4(vRG}^iikbqu
z+7>pwnhyU$ydhLI2v*C5Lq^CJ_$?U^m1fCsMClZ`w4Mk5eOF<<>ODv)r~+??Cb;_O
zBaF=d0U{d(FeG0Rm%1zCBYRz(8DfShIrez}`3$t-`GmDn0J`5?j1QPFblklL<#ab-
z_;3`C<0dSLiNduqk!Y2+3WF>{Fim~|UOViA*6%r}wcZYYM;l>nfEv2aki-IB&X&p3
zt`<Lj4&U$Gg?x)#*z9@?_VIjW$a5KFy=DOXjiED17S?5tvZ}8eSxf)h?Db3O?9ume
z?5Ug}*7}t-8`>hv-q-!i)#$#*UGXoKJD?TFU6!KAO?!N=!aR0r1z)y~Yxqo^8A2te
zXAH+Q&){wp=M+d7bKoN794lSMk$kX|v-5Zor>`)bb1}GpbLZt9&R<&1>F#LZShjrS
zJP!ZInfX?N;ge8h@|PGgy~B1)`geCmH7ST``mlz1Vzq}k6qw9BoSDv?NxH;L^|`}D
z6<0GyyWTL1G=~@;FF|t0MUJ!`)*%-cSrNV$4Ed`NNRBRCOFW<KC99vMkjX!pggttd
zd_PxCHo4Rhi1|ngBYu;KzoNAEoDzNeTc3K5Thr+~IMl;(F12f1O5OjhqoHm)scw8c
z?Fl_dV}2#k&mt+*J2ZtBd`YH#7Z1@>7x&XOHZgSB(Y5r-&xJHV#DjiXVnbiXX;ItH
zVl?t=AF*nELWajKk*uVH<ePgS$vU7zgg19EQBH@Lg1^0-oBtkEY%Nn{&!@(-$;r3b
z-zVR*EyY5>%u$8nC{qw$=?oSdykSbs0*Jk_5>71G0^(odK+5MJY~!TDm+({2Qhg47
z?92m?{Y9WNd>dqHAHpq_YB=0h50_QjVC{=;`1@-J1dsoL$tpqY{VI;e)^fZ!rh*}D
zTG*~V1;N=2=O|cX(lG}VJmrFy1vuEtr6^GBfg8%a(BPRj_O^PXOS=~iG<sk_4aLsd
z8Mt@Y8P^8c<0EBDv|MP6ZqB->@lF+&t(8OhpJJ$z!;cYvM&Q+~Paxyf2Fa3j;967(
zGi}SDI=>ihixt4hW#@rrr^Cg^C%~pY1&-Z14ByurfVfZlA<Zlvq)qlg>#e;o=DH8w
zdBua(*nSxDI{?aFhhbO85qPe29Af)V!Le1DkQsjgwz^*i(W}Lv`QR@6+{OZbYYl|<
zG(zOr4$vO@4BOs~K>Kw*44W#7dL7cZ>y8qp=4s;CNdtTuX@;o^Hh6vQG?bj{hTpO%
z`a62z?2*~{`GGI?NBQC22|p}Y<cBl&_+s+5+1N7M6MIw%?wN4GYE63#&Yp^XSEt~P
zNKNF5D)MR)5@@$v0N3V?z<H}42-w#Q@})Hp-BAw8;x{2-#w7^(?;Ol}bP`@m9f73*
ziLg|54{V;Z4Mg1|Vb;3{(3A>=n`O)3OXCu_IA;lbR9*@~Cd&b$L&5T21e8Bq54y#?
z`1dLn`ZMC8qld=>UZsHNnlwNj4-z<<3yJ1Muz61@I3{yJDex&AZ+!*TY9HW+%plN`
zKS0KWkgkwI+et+%L{0o~W(sZ(pNc-h_Sm}A6)QLtpC@?Z(SN>Zb0`37z6W8A?jl_I
zV-e;pTZEq%EWk@W0qCkTmxuM<C?!VlK93)pF0)2OGh>{0NegTLDWK#^9*%$h2Q~Qv
zaKZ8|Bwl$2a~&Rn+xzP<@7@Kt`0y0KKoa!L+y^VxZ-Scjp)kHN5Oyt^1xF<q(2aD0
z%^|jM@tFlEW|_hDauX0yH-WvEOu%n}8SK`zfYwQC_}1?LV|}i0Yl1?+6dwp*9S9fe
zmc#4S>mX}-G-O!rht#i0@MYOaFi1TI*$J0m)~uT_<zqP%EUW?HE3d(irwxR3eTU`{
ze*9S^j@7;jXlSE}{){08FSo?ItEb^CTLzz`c;nld^RQogA!dJAiu}Q$Xy(5X>vJRU
zvSS2xPln+U{t#ThC>XPi0`UF$St$OGgPMmNFf!H*9aVJjZ3a&}bri+D4!@zR=_5?r
zUk7Sy%OU8(6#$pBz_=vC5~o;Lb|Vyya(y7l-3gv58N)d#RVd_>fceKK*$X?rvY$7!
zv9eQNuytE2Sy9Oc>=4{$CDz_x72B?{FGh>lCwbRcz30X3tk7F5yWk%CuAqV~nE#kP
zwXBZa_q>%&EbeCe6uz^HhxlOaTQO)-Re)!+wcuT%36yl$!^C<DyFLA(;ZP_n^V<s1
z?fb!Wb1Hls$pEp~OJFT|8<vzI{7P<sQ%N7e=MIlk^J;E;on>(LS2c_iG{j}Atg*e<
zm6t1cVZw$0Ea_c}bki#Ay}l9EeYWG`Z!xG5vKwQ0qv%ZxIyY^@kjM@A-`j8;-?0c2
zPW#}c95-zKZHd|cbkJW+4tFf!$9X)xK4i@^=#jVu-J3Ik|9T>r9}EM71v5Y)PYXi#
z{ACxlKV_5OXR=vx;jBldDqC~oD%WjwW5vV!O*1lz(m1Ewzi_r>X);fCG0d_Lq0CqN
zeN2<@F{bQKHe>(aHRgkGIivLADRV&Z4fD74Gc&$>jL}UMCMCl%<jOxava(?cso!Hw
z&S|@mxwW&&!t=pI=FVD@VZMvBrXD1PjmL@d_j6=q>@t!6RZ0>@DoM?F1Gy^mk#t!9
zAlHfnXsN3dt#VSKqQ~^;cf+aF{k0?Y-b!d`l@E1E38EVD%jxjKRrC@>(oH)y)5vMt
zsQIgHbhG_dy39X{u4mR#4U15^dBH;3CN_tXEDlv%YfFVHr_fiwm1%T<7#)-tCI1rN
zl86OWgce;V_IVk^)#m{5p=(Hyi#OS_)SSGEl_O%6-x<AIPnj71OUx;=1B~n0046(A
zmzhxd#3`PCmeZwT#_4`CeMZ*Kn2PgGdfaO7SnlG3m$(~KpK)((9^#hviLnva)mZ}%
zbN2N&SN6il9QN&@<*Y={CN?BDp1nJCgq`~946EOq%NiElU}vAHV2|H_&bqmDur_W(
z?38GJ@SiRP6T)h+dDswstJuRxx;r$d1%ia-YG4oTf~tta5Snrd-n_U7SEk>DN4+d;
z>Uar{&AOnneiXL#2;)^@d1QF{I{V2KuWfY1Y7KX+zv+j@T}$xcqSg51%4R$e6^p_;
z`>-u|KVBdSm{-0ZD`6kLF4=`jGq#{f^eWV@UWAZ43-t~-<B|_17^J6)>^Tu!?>qno
zx9WiZM+uZ!q{GH<|G~EV^MIT;hBG_(0mOj~l}=<YKGb5HN4Iis{;HV~rT3h(nNDRS
z>(?>U!cQ=9sYQ%L$0G*I+ZgwhVW#qx0C{FFO>B}?iR*+u=_#@x?)RO@bN88~WYs*P
z#92l-pVkrX?ig}kB9U-crx2--)5Lt@Jb5wa3OTf}lq@p@;#mHi*z2^BHs8-g+5Hzu
ziWQ^+mnG>cEhYNmi5BfXVMI49x1vI#PSj@=Lt|!p)3f{h=!(}t^n$_?x>zKHjwOcD
z%NxR|Zeb{`v<aa}vP<agWkJ-1GnYE`c+iW<(`jj>E!|yhOsktU>BA;DYBVTJThEV@
zIJ=Kz#j`pRcI+W3NG~E@Jpb3rPbE25_mL;#>&PzM1>|#{J9!jgN3OXUl1svBWLl;)
znbRyp?pgm~%HxI@)6iaK&xKAVRH2<IINHj1kF+q(rf(Rk{FZrE^q#r;p_dsb8DxsJ
zely$C_=)*|D9JaFB>^*3Ny{ufA`xg#IwKuP*d<ENDb6FipD!ncpEeTDxV^-8K@xfL
zD2<4#<q)M6MdV|C89D!>np~UTOtw7kB~7z`6W2&#I^RN;$}Co=zU@;ep5oan#D(??
zd(gB1KWaU>h>CDS>3Pq!RL?7l-r2d82A|(fLym2ygN|Ei&gqTxN$qO7Tr7k>O$($x
ztT%nu<x2aPSkj?bUD}Z<PsQE{(#ul@h~ncWGSXB|oMJDLzGufta^Y@bq`jE*x4V$6
z3T={nLWsz@zhwd<N||cK6U@iEE1CQ>3nsYs7v~B0BF9{ADo4vfW=8dtqKckOcWzbF
zNv?%IaL--%%H88F&epEeVjoIcvr)S#dy7Aawdz{UZV21O4lO^#u2(zBI_=G7D@v}g
zW-sruEq|)mdy8JNH^q9`zmC7y>O^5M3YG&GOD*`UZ3d&BPN49}3mQuo!5O#p;J+sh
zPRvb)70b_n_r5&1_oM{kW+L3+YXl>)Zn(DW7c89+#+N;E=(SV}cYE-3@i+%8Ya^JY
zH5X5g2V;;<1m>GWVeQRm91q%qDsT7Uizo5;DkvVCf5c(Vo*2yCxe1-DBhXcJ5e96U
zg);5VsPe!R<+rL~;Syf`f9E%7OK*apHTS?xJsZwHO#~Bx<?wim18l93h5QvAY?NFs
zD>bp0ZJjmBEiP2&?ut?7)D|^z29Fyv(uyI>zBPv#jiwwXwe$`nvZ0o7ng5Pax&Mvv
zh!!B(>QbcSlQQA{(<O;}%}H8<BS|-*B=g{0Vq3n1T<Ba&2Bc$1zjY#6_A7<ttvf@`
zoV-A0>?tBq_V>uFibv$AUITf#qLXZi9VD@<|B?$SqV(4cIl9|PomQ_jpeC26Qj1Op
z8uxJqb&U6-FAn(8hPw;soHtA9m)oKAl0pQ{s9i-<Dpt{^w=3yS^HBP|d<hjS4WyEu
zbEsqyrCO#=G=$HB21e`A-X}_wScucn{6EC7vWL9wdr9i%RuCiMA`)wmN!p5%$;}zD
zq`G?r`DHVk`2TYt5vEg!|9(Xh@==(abQ@vTX}o7puAcF40p`-wJ4{kT5o3^+&y12B
z=6T6EW_RUT=IVm8%+bJ1ChtlXv)1PVqicDINuOK9j1}Eta(&AgVduw8`mUEurC|rt
z<I~415dOnVa~2^!&9cODlLlc_jme*GJ2E~@$cF{~WR6W3Idgs+@qM2_PPQK<w;D3Z
zx5mpPfA9{OXZM&KDSS;%FZx6dGUG(iLX_G*k*B5awP@`MQ+i9^fo}ZG(C#a9=-Z)%
zR6aJ0*7U8X3SYO<Le*F*q`!xDSH@A7hCOty+b(LSxSf9AA4&5XL#gEQAo}637ySZG
zv}1!QecPu-^N)*D9p)!d&1xmF2P;U9T|P<VrVzu(DDu?Qn{3UPLWYkB61B7!OtfAm
z(;XSiWTc8PiPNJw`&!pLEaZ>jYAEz@*XkIsVW;P^Ew^^CMrTsljX^oASJ+MVwIH%u
zaSiN4>5uH~{_m`WnE)(tk%T@_g3eYQ(9Sf2W7>`||33=t^?o2{w;cQ`Hb8L79#HEz
z1YI{zz+=BG2zzuHf;37YYdJ#msd|`Q^$za!4Z<z~J~ZSP$62ctuuxA6SEw1|UrQVO
z;^NBFvpw)IPlF*^3-NTza&%c7fnFi&u>a}?B(hO>A#x**-d>L@zpcVix&rq!FGTL3
zFJ65`(W%7|w|kml#Ck1kN|Ht2cLHc?GXVeYzlNR@EM#<C1>@W4uubzI#G7pZar1c~
zrsfEqwc5}iFAgHH18kS&3wEUaCR?wY!5+%o&*t>3V1tVoHfvxCyIfz2?L0BWHTd+L
zyD#<z_x+hO+-14(+^>eA+%xaoxp2{(+xb9+`{<YmH`3)t#r>{#6?enxE7mAiRn+c&
zSdnU0R$*Fmw<1EZtir9Oyh3geE2c8F6{!`kDt@f~P@y$*xFWZNkNat}1Xq5GGIvpp
zKKIB8YwqlR4%dEi9@l#?oI7i1Cs+I2A?}~Or??wya=DK)Z*f2AS8<=Ews0ks2Dl_f
zfaSX_%cic-VfSCQVm<B?_C!q(t0Ei8ru4?M%9oC@lV8uXC%SL25|4QNyrP8_l^tS#
z?h%60UIpNMHGp@e4#16`1)VEHpzU@vuLtok6qTk!sbL`uaUKApTL&5)U2y#HA8<^Q
zz>EcIcx>DlkA+XejHO<foV^fzo~*`#<<Xe7dO!BxJB(kSrK0w{6PP@H5-(+)#9eyF
z(f`B|Y*Rmg+J9rQ#d;049GZ_JRc`p{q%j)v`Ys1~J#qbOU%<Y91u#D_0o>(0;fsej
z@No**=_|z9SuHA@+mY@}r~75b^ivOGDj-Y1#gwS>GeoN_kVM{FP0ajbh}h~x(mE}L
zgp{QbN8xj%&mossExSU-Qf`vl&G(3p7fZZ*t4Te#j^w{?CQ4SF<YUbzVw68j49drd
zd;&i;oFPK*2}x4H23eYtu0&0I)v3Y<ZEEOkK&7LMX{m=fy>{P{Lb(k+<!VoTO&qD)
zj%oCuh7&E6bE4fr)9Aj>4z%f|9o15`p;k2(wC{&0y>!ixt`X6rE-IQd@|!XpxF$z&
znIt`|C_<-x<fHR${30Lu2g%!pZX##<mYlYHMbsLf6F1{(B52LyRYMO*&6>M}lW~ju
zjk`fEs$VD5Ruz%|Laq{dfve=S?^ROcT0}CQUL#hc#iXyIgoNwdA#;@PlQkDANJK>?
zDP31XLUZd#{mR$m(3Q8Odt*1LyV6g>gMN~8;eSb7mmtk96Qg4V($q0efx28!rB=tZ
zXxa*Wy6&G5jazC?TUJ<6*Wb3ZQO=PLopGY|u`YB?kt@~HpH8>Ga-|`UT<ED`C%S*7
zBNZ{Vqa$;z=$g-FbX3ZSHZ|(f!2k_vkgG)F+GKe45~rJj1?j-SKSZ-~m@xnKlK9%U
zB)g)COb>rX!toIqe*ciDSKTEYktJkr%QZ46bcGmxyF_9#@<`9<MdB@XksPeKK)Ci7
z$s(^@qBNODbQTnlzdTNQw(}ZMmnk95ukR2i$8xgY97*x*C&Z|(j_i$YCU%AIh}-f{
z1XG7ef%Q01(iEU&vqY(Cx)i-ME>G)MsnWq3E$XjeK$lpV&?Zp}8gST#KF@HVAqLJ=
zTXs5?nlpncKjzSHn;81jouNgp9BQ!GjZR#0q54+SsDq##t#Y-bfdeLVj-vq`vecrX
z-<9cuELpnRQ=A?X5TvK-$4H&zAgO=-k(he465q9TL}K1!qQqZ8G7|2P#@1qz#dn4L
z`klwa{~R*xn?-_h&XR<i>BM*U8FGF6H2G_GhDZsg6RX1+#P4P%>D!e}<a#fV*~9td
zaK;rP@vfLyLMd_Ql#_r(m84a?mc#@$k{p|MqMg-E?j9W^m;e4IX+!*U=$I&VUMNk4
zrYX`mJ$33Yq)Q847}EKx&8gO1YwD5bK<yP>Xn3C+U9Ui>#TIueGBT5n9`T^ZtUc)U
zc6Zv4MyPuD4BE8Nh2A;jKpSMN=>l;x$~j{|WnXL3f^H=`^P@C<^jU<e$nnwlZ@!a-
z`n@Dyp^aobsw3_mRU|Fv0a1EeLNX_=kUxBRq@*{CL|;iK&t|5P$Q#E<Nlyyt>r5uu
z=}F{{2yd7qk-DEr<okvr<b6^qnc{PtNL))J=Zn)xQa~1&ICYUE$6hAC|6L~%W_Jkl
z^C3xycubmh)RAW6RuZ=DBl!_DKy)g9lb;I(XnKMe{oO7@*Und_-n=}cGthvBmzq+!
zcUJUlsRMnW?n(^?IW$dSCgrU2q8=@?sEd~mJ$}iDKIxlH?Nw*d04q;=nxV8b)Q#@H
zK8^n8WkXHonbEcV`aFNpp#OF#P^|(9x_4NB@^_4qn)RPa*|j#ZrQ!vNx{2iF$-Bg9
z!!>f1$s^HH=g6PBG_ol^mBecuCWGk-Wc2l3az}j^;rqIS;IwUI&bKWjUurA4yJs8O
zJUyDc=IkO9`}dM~fdn%C;UEbNJwhJE9VeE|8S*DDi}c^fBON>(iLbd$WZNE+cjv0f
zkaPoyu;Ssv?@y$A)d(3W<)gv7M5$Gb4E4XDOocvZ(K16r`Y~WCRi0x<mk&A90S$(l
z6?#yKEwkwx|G8A(*q`2c6+lmW&!;I{1E_o8JbL}x9Qt&HHxFYdy{R*uN<Ofsa(AcF
z`OFl0HeQ3e7Rb|Ajbe1WDIaAH4v{t6I*Fp&OOic~WSr-_4QC5Ueo{6WK9)w9!enCb
zY(LR{x05(2Y#?5m;pF&-#RTUDlJwbrBm#WMrkq*CrP-TYTR4k2EBlZRvAM)*Y5?(!
zSx8C;myvbHBFM4j8%adSPIACEo=iD%i0E!UN+kKukgA#I$yCl|()jZxN!wIT6mC=#
zqq~hnH?fmUC=HOP&_86gg)ki(k)mP~O4P$zo9^0aMBU0PX?49Lot{2}`gM8GO$X-C
z{c{7Trqn`eczQ7{u3SpXcP^u6bC=SioW=BX&;ly_XC8G5noZ}VP`a$ynMSR%rrY-z
z(fnDObm62N-BBY#)h>>ad+U2iweBmjtEZA|eSM1<|H~u0cwB#uQZjk-V-FeATTjf-
z1e09H*<^O-bfUM_hJ?K^CW{($h;*nLsa~!~0!w7cTn}k7O;Cy)>X0NQkEMuei46Ih
zE>CvvP$nVX8bnJ*kCZ((CdG%X$lKXYWQ_(T`69mLr&ch@-?)n0me@{S2<|7b50i<I
z>nSqj(0Sroe1&wE-68%rDoI@WOEPDBCz<UrL~Qu@sO}3fI%`s%rtj6H7u<|!y|Oi}
z?{=mOce~Ssyg77CFNnUowUj<n38$x|*3e5!*3;C+NUFCWl4ieNOM{n2&~*L~TJ&=P
z-Mh_~nj@u(=F_O}xEW2{rA@!}%TcEzLNr_A8;KKWBcs!*$m;qV<Y`wHQQLcjgv{JY
zG!88xkFODO<ER<Y;a4U#JiQ~gq=&gz_LNz-qJ&xLlf|5#lFSS{?qK-pmN3VYJQ$T>
zTju9!17<)|h1p^y#dIeMF<CgtG1VC5ggyAi84n)jNR)r$wBGv3snwa_xNa9<zVeGP
z3-8G=0vRgI=OSHZ$v-n@EZ31KD{^PP+XXNw3&R*omu(CapTJaXI?Akz&t$GQUS>$b
zT_);oH4~E7%B=A0XSDwE5tmUZ(qy7R7T+=@qxYQ2iRC_otzAxznr$Nrfd`0;(@9dj
z=mL5E>;{=u2!#A=BwOG05{~Z#iOUtI+3m{o4r@SDY;EYcFo#~{_oath7Sq+HYv}RB
zZM17s91SZ?pdWu9q<M9RX@OJ{ZOA%A)%PY+i&J~)xqxkS@wEtQVHHGO*Sb^uWX(G+
zrA<vQOVIpf-^e?udNN*7O#Ul6PC|Ou5#ec0M9ET|gj=%=JY37X6MoF;zIMIBYXv_$
z*cZl{hi9>B7ay_H7k*-WrG>zpqX@x!^}$}+8nkrXpyAUjcyW3G6a|LE;aQttVa9);
zWOo3ZR;57lk2HAk<s9q}%!fCw*CD0wE)?Vexbk`s{{}Wgv*btcS}+Lprhh<th7b;E
zO5!&|1$;6~9ar-DzT1!U`au({@U5jIRzyw5(*_iW488DcfDisVG#3Z1%)?U`{CV{S
ze{5>;!wh9#w3sprKdH<_LD?DDYdsAOa;<Rnabw(Pq=T1|l~Jmfca~<c5U=*~8>WtZ
zg0dT}P&B(19=?4DN;_}DQoT#i*p><5`6nP_XA&Ip-4E*aF)(p?BW(B(0SZr-!>rlC
zaCL4F9DWo4(=z?R`;kAC*v*Ic?}C5}!BEt+95yRQfXTr~P&3^Qr~mDNu%tw|QJM_S
z2T#CnfwN#{a}oY2T!ny}x4~A53!BZJf~fdwSb60GWC{;KywW5zbqS*mua{OZR2dD!
zwQ<LGBmA+;64QemF{j-PU3+KZU2h*WYvkD>I0#piEJC6Ci}7605)|LQ822eILPNJe
zydmg^Mn}AnJHenwk`ubFvO@W4L%iInfipkKq2`zf)}I`Qk*-hhpGq^x&3g>qm+!!s
z)n&Lha295Er^1MI0*F>^h2Se;;CFLA@RfVQfvc_{6KV^U6=tyV@)T$g(1nmPO_02;
z4%gnR!I-T&oX*q$5qWJWI;sa(WR0NZq&Zwsw*{3#XV~XK;q)&buzkJ&T<XJMqwFTI
z%H9K7j}O9y?Z=?9Hv<%m^5B+pF*KPy0QG;>(D3jT2t{;3;J5Ga`Z_;`&X&M(jv^}k
zr-cW<7~#6L*4WwTjF10Nw7KDf7jN_WDxULf@n8i?dPLwFhc)ODz80_DT7!C8t1#|z
zC=P5|f}<DaV<4|y*J;Y2qnHCm2b*HvaxHwZKn_iJ3ZcZiZy@)m9R`}Jp>5i2xGH!N
zzIz@A=YRV^dH!ms-#C}oPwE7Lo2P)VkOFj72*804U)h28P3&SLV5L{wV8uNyvI)me
zvqqvRtjd-|_R;h`?BVL|><gDota0!LwsJ6%t$nqTee`t;%cl{;%9`(EeP<tF?IMq`
zZD}Xjx3!t<OwD}uKw2@I<oSTT>Ggyixbd3(kln-nvH8U|cnQPQL0K5e*MwUMrr>pH
z8k8A(ftSf5aH&}bc@}Z7+btPv)}4W&;yhk0>=umGB0T0cLcd@SxM%-{INq6@fmibQ
zZHG3lNijpG5l6iHpF1Xg^20fwmtdXIYP|2Z8P`_DV9|oTxc_N9vKjj^jBh`RecOxo
zm1EI7e-q{puEfG+3$Z%P8)LRR;WQBw+_Xmp@7juBcT+z^m(@Y-@>_6xBppso-3uF!
z&Ig5mX0Rkk7&NZduyMOm*^?5sY&x6Ig%mlrezh#lu%QAokvosMT%EwgZ^&l24tJPs
zho3R0Yu+=b{eCj3cZEnqnGD(gQjLV_O(B_2EQxowGx16DAg6}?$zs(IGTmSUSvqw$
zu_`z~4CfssSF+LxlgZ<l^RJN~b@zywY86SeX&{VtCrNG}AX_3PiQj7xy3?1JTZ*Ys
zwV!&l{FfPpAv-#HXF3(u_Mo%A&!G$c&8IF>i|OKz%W3_*Fgj|!l2$KRNsmAnJsTN9
z%hoKWmapg2#1B3+qKeXw<xaFj%#s#-)u(mYD%3q#l2**(qdimm$k&I>#A@p!;>63J
z%*rp2YwJ&t=GX)>{AeRNWVMKFSDHy00&Gb$t4|J1QzDb8V&pAnl6iHcpQ)>O$GDwt
zVv<{HnI%D0%;|QP3H7dEenmfI_Rgzdo|UtV;k8GMw8~RPdZeC-^K4}zWIi&p77Z}^
zmg7v0zYxiekRq`wlnM3MB|5Xr$^0eL$keQv<cHyW(jXm9GPi6a9@7%Y=hRekur7m?
zid-U|9=FJ`G$65m>xuV~_e5*@ccPRiKp$<9qHEr$(6R!3Dpp}ZWk#KNn%YddP{5Dc
z2L)476GpE~tf$4*o2kvU9n>Q_hVJ?nLuc~uq>*`BsmQlTdR}WK?cEqmOQ!o$)gBIo
zS{tf7+km#*R-{gW!nCexkZ^Tg@#<v{$e-9e;sB}ST>duFzi1x$vB!#3^~sTz)_%q*
zse+-AY0SgFOPM`K)tN*36`b-YQ%-2%>4$AAT)ENJh1{2W2DqDiRoI6)_N*_N$F9G+
zjwOZhth3)yHs*IG8}<4!OXcsdo0}`yb$$)3M(%qyc6^wPC;Xs#QvwD*D8bu)U8wpz
z748i>gSfgkEKOJlM}5}7g_KyBR(cS!<4%CGV>aaXUIDv{_n>TZHB1j_hX0~ILGXn!
zh}<E9Te9UaoOh1zft4{%uCT>(7u}HIdSl~``MfhR%dr07D$I4+h~M0|q0GXaXyy=$
zTW-Z*Eq4db58sTYxEA-TuE2y+UT@hCFXWr%f)VZJxOavYzAlnRv8KPk26q9+^(kDv
zc@u7Ro`ts7M7Ta<CF}?wQ2bO6)<p|J4yT!wkh#JZwC`g-`nj?v>wj{O>mA_ws3ufY
zR&>qK<@N8h9Bt&xy&%D8Z8Bp_XL>P>IbqDJ$=!@!Z!+`hemXOBC7;>SUBXzLW|_3!
z7mSZU2Xj|`fZ50S%N$-TM)uBCAQkf3q`tzGEMM<PJZ)!^e9QTyd3QJocG*s5S0)e+
z=O_`qaF%dKFOj4Ex5?yvBtP96$f?c`q%ijf8Da!!oxL>m$x)@JHX6`X@s_mywlj@v
znn~63{b+t?Fimv|r>?>4Y5c%ux~gyo-R&7et<z%Y-{@%iV0a7l)QqIZ&BLkPnng6w
zbPjEMK7-bmTGQg``c$h_f$Fc~@m2W&VwKTI1aj_^Hve2Q>v0MZ65C2#<@|`?K}#aW
zkt1Ou{mg!c3ML^bjTx6(&h#(UWa88-IX3ScIDD3I<?iuj-0h2UxU5zexA(FfyD!<2
zm3TOd^|%+#>J02=#aAY?4;#*~n>XjNh3jv!Grv}_a%#`nP_1@0S+|dk@|j?_trP|A
zP<eQ0s|8<%OkneE2Uv5)9o$L-pvWv7E-P*4_4*`0&B~)N`_ow%U0DG1^KJOLuMz~D
z8=+XS3r;Kjgn#NnSZgDL+dvH$-JXJSeO5>rS7iV5#O15}vGC>+d?Ou!E+!jrxL_-a
z&e(|(1+lofBo>>!cB0O@t=Ks&690Y*!>*czDDL2c{mE|VZ*7IA_UPh&ygu$T3k6WN
z@-rBk)Io#B9ngQA4N}t&!&AX^;9}$niT4e`>ZB<A9c*LGgRimCo%`7c5jVC><|jA&
z%sy`SR<DYu!eX4iG3gvZ`7RE>vJzt>=)k=14Pb71M=|CNiOiV8Nd^*gnA6{{F|V#a
zU><kXFmBMo*hPI}0@Qvp+z}y?e^7=vwW^VHK11Fab{jG=Z3bB!Gl%&8T0$1Rj3nRn
z;z*ug66tuEMy4LhA%hOrh}Wn4WcHOB@@s!98Ql4WygKlQI0T5&qGj^5^OYuTxoAwA
zb8YF;>u&T&iZ`9dKcB99w3KoaBIx)~B;9#$3)MNXgJ#p6)aYU~eUh_{-tms2Umvcf
zzOKvZ9jW>BZi*-6S97LblIGOBf~T|WlBU<h{}CI#ZnE-lEm^zk7Aa8ABA<31A{w^q
zh}$PGBJ<6JNa#zE%>BL0OUnn$c+E*htz-ogQLWGXt$)q&=v>QrxgcuBzGQC2vOVj$
z8S_iIHzWtS7rFB6ng(;$p~Ridf3ldhi{8xQkp$MC?-;9(ne4BT0`?f*X3cz&m3mOm
z^4WH>)h$D;`~OjN-tkzzUmUl}mOUG0L`E4&Joh=s4jI{$$|$2DEftciN?MeLG`^)0
zsU)8JT+!a8l=d#|C7Qqc_lFlRe?7)?-Pbwi{du3a611sKfj+rwQS~`P@(;Hr3+Zvx
z^WK-Pj*h0HPcuo@dztVoFCopE4Kzn{CnavEC)3elTGe}*&h<Q`(`rIy++K>^%}`=h
z);g>p#+ZrjSu^DoW7!R}@oe4FU?x32hIyGyXFjLX+3xdM?DxHeOuaFOz13X8nqMwr
zJBDYo%Fh|hEO$DKHi~Ay>?g3!p`36Jv}3Eagq++xHTL|u6ia>hni7LA)6gkL2wk?2
z^XCG(p*4lF{*I%i3-swzZ6AMi+bMoXLIq!PB9IRpBE`36&KE<-?34SFCy74BUKYig
zX>cdcj^pftrf`1t`CRF(3a<6`POfcXBe(lE<Caui=YAJH;hg(FbCzo*p}a}~?pSNW
zm+3>{Yt#tvHg<&jT?nu~2pVR`gKlXCeEGEu6lN7e-M)2@-@FaV_w5&I_T%s*;WR9A
z>I7-k=g`yh4dx{Xecd)C#C&axt1`s0SC(kx>xkuRIgBgy#rD1s^xF`F^L3|U@z_)x
z-jt3d6J}w}-B}pTWn#hNnRujTI!fM)!&`}A=$P+|fhBJE?TQ^9t}(%@6SQ%=mOM60
z=>y}+NAOea9F+WRfXR!u!jFw5@OaN0hzkjY>FQ%3Ks*GThRecJtC!s3L#H^~<XTSe
z?Mm+9o&@g55=U;^E>+I%<zvyW>i<Nodox5SI=Z4Ui#EB@l7Hj&%@1h{ICi_OZ0Zp4
zZ{A-#Gk(7KMoGDNcIPf})r)3vfZAno;qE8m9q)R@!J7v1W24mhRgZ@9GXh8Qx))ve
z@*F>2p)7_kGRqKnk39ZWOc{S>RVDBAX*Zv<tBF^=+QEO=besQb*~5=+{>Kk*QKW=R
zx}-kZoE((}7A)U~R8GXuweDGTUcP`L&y|x3ZKGwfhv?Z6F`eqVMmBlRDeHJY>A1?V
z+fkY<-qeWwSZ2e*JzUvDM?c0XMzWNY=`7*VY}WEUhlOh`XXd$utYCQ&+yAYI>7QK5
zBs&Y3NocOX;$|_W^dxr0W)fSl$&(#+7|j+H37KtaWmYcHOZQ7}(rbZ%nnvr%W5aBE
zkR&3PCxfVC??pbQXBj`q=#yB&^4hriQ4d4|{ern1mGzwGv6I|xdc<9wDgkx}2SM%M
zA)va!3gZ8Bh6^*tgO5rGylRODyQ-P6?D7Km&viMp#gzzr>00P(u7anEJ0b1femH2?
z1cn-7h%Pz@hu7T%-tiGUoB0+hZTsL^ixf(1lE)W2RPp_J9qjlw6rDy6#}SUgbM&`8
z4o!5y8U(D)9*-;T`{D(mUwE=92(v#1;~wGT<$)k9x0ryR(|wVx^+d@A5r%&pgL3oi
z@RKkbO_nmmMF~2XUZ;Y!@&obOs9#|JvIm@^?}5glOW@cqhLQe_(0*VK=o?i->z)eO
z<y-<LSMy;qTL2EH)4^rkG&rgm2TSZDpsG6rntFp^es&<7_6vj;NkLFW6Tu`n9K2Mc
z!TE0jl<FnJplO*<|6~CeUdn^ovn%0F@@ilW8{p{vtuQQd57_ecu;BR#Sah)i)U&U_
z&1d&Pq}BtEdVdIgeQB(?tANiBsiV^oeH?Jz7`xvK@57$a7+m9mvwIMYt9;O4nZS2s
zgyKn;2n-TO;pFaU+_fkgUu=xTulC`%YiclF^6<m>-|qOL)dhE*7=?`%7D5koC^p+_
zVvM;0c2AJN>qYM&-v1tGDqR5O*C#;p%YHC$*a|I&%VGDl6(Cuj4R+h7!R32l&};4u
z)2EGt9kWM4kKG99FEEDukRh-&R}TjEYlGi^TF|{j3$)X;!8b)0w$3mB<&0qvJj)c?
zXA5`wd81%*?pQdq*&ST31c0S^Bvc%k29uW0fiE|6;j3OT%pOt!5wEvEQo$Z*|JeYU
zp<<|9e-Xs&E;Mw%hKTMysOgqL)dR{Xc~cuFjx)rh3nQ>N-X7OnamD^O<FRpJAXeZc
zY?F$^8%q=M!r~;fI+ub5Tq<6<n2e`qPQy~$1Z*7}i7Q)!@aOmOxZ7$R8tk#f>jzA*
zIbR1)OjX2?f&ain`!!5<z5!pW+u+mG{ZPNX5)>kez+%u`@C%BB)L?*z?<~RKrw-ir
zlZD$;K69UbcX3`Sr?_ma=W@NbbF;hFa;=97xmM%FT<y9v?)=0l+*gGtE^9$3mmeR@
z6_*Bad0oL=fJqoPEHa9dN}kNc_@r{>zvglY9=RMYUdg>Zw1$&@Tgk<6wcKy<A#Pmm
zNv^B<JU4XoT~1?454SV$5BEw<9zGXpLeMZHu<Eq|nGqt`+Z70Urc+?b=y{;Ceg&9p
zTnpWe+raP70dQK`3cnIAgZ8>dFn;(~Sg$C9jsj0K>Xkm$o0;SN)Ap!W1-L440+!s4
z!m(SX<3RseXt{79+QjDKzU%p@`*k_C)h@@<t~`7_Lf{qN%*Dl`6x>r0jWKclxKn=|
zdbwNTP}IW%S#tPh;wMNJYF*ZK1T>aZ3U{HUu--Ws%tj0c4?_v~a{44!RF}gk)v0jq
z#-l`8|7^q?BEO5h>XA3-&E+dxw(*ZmPw?BUZtzL1Z+P>e667PJNIOnykz$%5ZFR8{
z94}7vss+jZzywMg7fsI#lId0LJenCL@Y~Z%Xt&fla&xUF>mhq+Z2e(s{dtl`4LnDi
zZwdTy>Ql<%KT+V7fAqXvmVN6P#3U!^veUPOjHtk3Klw0<t#@%@gG}9-dyX&DRtsji
z_2F#r@Mvb~6UX*_if5t$32fzpI9B8z&Hk(kXG`OPSlKh7jtb$}>t~Ma&vh$-?=xZt
z4`?%IX(bl8Qj%qy6g(E*_o(*qIjY@#oDA#sQsJ*k(yuBd`+rL**I&4|{t2h7@1A6*
z?nGa0N06%3P}=ucld^4<X=2|%+A&m$MyUPa4~Y7B^KIXGWtH!I*PLGd)v<m)=E7fo
z?sX};JVcff{gmiIlsZLE)T0PzBigQONiKiwDf)+q#%uc1*yKp^l1U~#$@vuHQb46A
zS5dHPC5b(2DRf#rB`j<u_p%F=z4I<jZF@tX@BE|>Sp(Ut_k-A;vwH0OTNCE%YQyR(
zoY@-Qo!u%4U}a6=>|t*l(~_Ug_SVi|>MJss%KTYuPUtMABbUMSt5TV|(Ns44YBZbl
zESN3ZH=cFP9m^^<jAY~Ehp`ZCA?N*DhDnutB6q>zwAPAI(9SxNIJAi*qgGI+XDV6!
z^P?8BCF6J<vfCp`qI388Iqfa{+w0YQQb|4^ry9Xm-Lc`9wkq;zqq@Zv^}EDN&(0LT
zKddKiZr|CKmQ~WKUpLIHPw}{$=2iuf?MNrl46Ou_r}}cy82ODNyN>@vg=<fW8e6W2
zcCL6T>UaDh8oF{Ix6neJyR%~`r>ilN+gt0x$u9Kc!dqjwOH~=%-W_>d&et;T?vyI-
zg~DF$n(8smsOpTs>)zo$-F?R$ULXlCcPT^IAOncHGXgYBTp&>^06M!8V9thlP}f!n
zf9|aV1Gk-U|3?F48MVW&i?<+GrUweH{ezSZig@Xt4oYg8;l{?%xb7g}xHH1}R~L&O
zKU1+nl#NSsa`EMj0&IM?5{(xY<BGImG_G5T%3}*~R^n1jT`?Q8BNFj((nM7E=5W!9
zk!W9|hqnjFVy1cz^xi%TiyQVrWLGi#WU;_+w}i(*KRI*v|G0k=ZrtO(L{Zb_Y_a&F
zIe&B6a=twFkbtz_;xDZ1;~R^Vg#NMtNxT|C9!tj1tDT-CRWgy1Cdbo&;F%P-Yyt6d
z%V~~=kX6c9OGV~YwArtQwm#iQfBPD#Y(p!F#AoQf;7Hg^_i1z0Yl`~)jS4?Xumx4J
z?80mnrZ-cIm1YfQ+ZUR!A&HjEO??y_Fmnw1<LAaku5o8+n%+#}gddBJpTIu$1hTjO
zL98k}kVU2ju<usBY{pej_9KmByy;l>&tNngyjaMP&opLxwe{J%ooZ~LgFKu1MuHtb
z`I&Tsp3=Sgo8;Pen%23Tpy2$2By(#grQ280oXzE=BvULf^7*8_Xd&r-&ZKw4QYioP
z6xu&Ajy70FlS@`4ZPAXT@3K+!$SsD#4#(5+sHt?uDV2)6X3@x!1vE!0kM6|@J)7t<
z+W)(P(tI}4D)*h#_;Ejt3~Qp*bH(Hwe4ftsbW#dFA)TNPL<+yj%zgknzekBRglMvH
zW`o%zIa4<7i4~h%ZqJ%OyRb<QkS((CVZ-)LV7=BM?AZEn!3Pn+?k<gF`)^0E2QA^O
zaC8V0?pf@-y*J~ffNgs_h9wx<vRJ_n@?`8_HZoV8y}K^Q3jg~{8v@=@FYBgGn+ueC
zsD<i64$vvn?G$dlj?yEFs3v9!A*9hhk2uov3#KBc@x<PaBcBNlBnvjwwSNRX%pOkH
z)|k@Z=O*-TnklUvIGj%L78F=AlIjyjk%G?{(sC8iKX)&hI5mi_?vA1fTGMHTcs6y{
zFQej|m9+HM8e00clE$6gNs6-%Qs$>-DiFL2euX#aT+L$|u;n9lrT(M#f3j@PPF0p7
zxIqH<8?%%LR&1z@BUAnE#xirg*w<NstV}qsFKvlo@>3_XAN5n&tjOu?i)cEV9zK;d
zZ%beXw$ZG`GL(&O_hV`f$nJ=p*uOniEY`-5IaO#fQ+at-w)_{Rb-bXFs@G{)MH{&!
z*OBy&&9u(Flx(UNQPhknr1ij$-d=H{kGf{mu~v)543eXPSNr(#=g;{Z^-g}e+8Mri
zdke3c-@s2@zMq$zx0_#Rvy)F<wS)JVw}Y3zTEi<B@8S<^{Et`vbdZ;+XyO}|wDPN(
zPxFoe*Z3H(`+RHj8-B=%KK{SMGPL!TGR;xfC3jB~f(lz|(QqThr~Xu=8%yDx>7=$f
zm!4Ub(#`sf^wqJJYAzq9GX*@|Ou9-riyxEj=`R#IOq#W(DKj@WUAAkn30p63%SH%!
z(a+PoSZUit=9v@Aqym!I>FXJSYiJ(3v|$lD;jn~-MJ-{TuNSe6&*m}znHlVC%QRMG
z62)`|1~6YCv-PIShE<jiW0C%<?Ak<079oB?*>HhAq#P#0gi2cGluu>PW9YZq7z((m
zMNQW~@{c`Q_(!u!_@~=AzHibi@u%mU`2Hzxx88^qqW8aFiUwaA#?6oO;Y!}7b7AF0
z+}VICE@JLJ?vmFD&Sk)PuJ!dD&c@;m_vA-EXL5P~jF%e(n;+;xP@D;z+-?J_+gzak
zsyCee6b=b4)8W$DdEn8#9EPl31tXO!fu_|$NKHL_zuXF&zg_@C-EOdU>w(kpzu<cF
zK&-P<#UZl#c*x8YA;Sj!TbyxDw>vg$48ZXEaQyf%4kI5-LpF5=E+3VF?rO7;9%SOa
z73s(;r=rB#L~Ig8<FQG>xZHF+w)Z=u^oWsYCOHfro>#-^Oa>P@eS)X|x<Jc-fpkM1
zyuG^#6n3l-o((g=?7cr+xMK&`t94<voHQK1@`x*w6?37%JGgp*O5Oe@o^u#7hC838
z$@!<h6LnlZE{gt8EHXafA&UF?(=DuQsoS^DO0Is_4ckh-|JSDewZARD)L7i|ZM?YS
zMY4F-vI6n^H|xb(^LC445|4=&emE<B7}hO@YwyKZCP?xd7Ao<3N_6?w8Z&;~6MH^B
z(}Rb(Vf+={WPa_M#r(Me#r)UA4g8_MJNbfN4Se3RQ+!cVCtrW=HNXACU%vN{A{`l_
zM@@1TBr(gG3JU#5B0HY0&B&q--$EKzzK%{A?xa+WMjE-aoqo@~P1RCwNwQLc<u6uZ
zdyVv1Xtt2&j&xvtRqo88H<<m?Phju1r!hCBg{=C09<y>UWX2xF?D~lkc6M0_yDQYz
zotFyO!Y@mi?Sk3t<)JBTnN={GQs~Bp2V1fjdBL4EM20!HKcg~pMw+cVXnR9G#W)8N
z_r-vmZ{Ft@wUzLH21xO_0dlTuK7JBq=O%J~_jhn`?jq-N<O?TZqzHEk4M5?BC7kjY
z3nz5EA+I0|UY(o*A#XFl)HMg>dJ5oJPboCot^=*Jn<2k#Cm0W{gLPkyz$y1OXx2On
z;c3_5o8Nu-edrZTUH26RfBXkr^gs-Kt%S2SXrM-jJ|-&~p;MhX%IVtRVn+w;dOj9E
z4&cyxfd^&}_QsZ5zPP^BAET@SFi&8StEK#~eVjMuCVHSnnFvpII^)#1(a8H*;m~#y
z?0RQ_*WPJh@C!vW{Vt7`8GYch{0(RY-h(SWm%%uLfz->RP!e4y%(ZGD*S!j&8`eUU
zRw*1!S^+z&b76bTLO5hJ7fcprKx^<!sH;qc=kBQx;V}bL%hSNmXco-*oCU-FEP^FQ
zd2oHo3gDpxJZKF_Jlg=82ZWyF&|UCGbO3w@9fisYF(h0#2UW*zf=T!zP^@_i*VgvI
zcx7o^p{an`A!?X-To(`78e&zgIa>a(!AJ!sTzSG36CS#w!bBgu{U!j1FAv5Izd~@R
za~P@*55vu^Az1V0|Fxk%o@(_%g*kv9T*qRx?<hQc+5%TT9)`!xXd~4q3-4(ed{XiQ
zo|nHAIGfv$;cyl#<xW7?mpWMgYdah^*#NhbOTmccgGE3#ywFaCx98*Ff`1s8Ef0W&
z5nj;PfUq-11QU0=!WaWrm~zb(@=u81_hp28vR-gzsy}>qJQ2R;M!{+CL|8g54IHM;
zhbJ%cpj})9vL59Sxv&yeq||_eP8}>QJqlSD2v&Dpg5D!{;kdvrc3k-mpO#4B(NqOg
z+@_8<<PGrtMiZPXoGXSq9Ps2#SNyig6JuNbaga&~eu;{}xtTGz*(4rK!xGT9CmuWR
z$0Cf1!unsK*bp}X<qO8+iCR~z?;VX<%@$~DG89LpYvAy+a`@@!Zz$gQTKL=F0{ftL
z7?#!uMOSu$;nMZ+VbMysy<|RoTbc;*4}ze30SDV`M!~Iap-&#A58sQ_V79jcoXnPi
zhu{Bk3fcYKYy8eFvH!|FwfxH2s(k07&i8Qx0{?RL=cVA2P<vO^DZ%d#>TpM2AH2pG
z!`?tE*qH7JH+KTq{0o5O4bdRCC>8A57lLue3h0=%1}=TAg3zelLJz0`ocqMk=y4ge
z*58MZZ{ERg?k^no6gbx|f$=<NfKvpvwLiuV@t6y~zVC@|HU#3n?GZTSNCL{POhUKL
znYceX6N_F7399f}xTi8551vTDn64@K)HDhgya+_IWDgwu#|a+^Ow#*9gVAg9AiU=<
zg=4+n!r8$$L3v^;w9D@WQS3Sx8Jq`29aA7z*%L-YjDTHPYVb0tkCSh`!OdRWz}<3Q
z&qZm^<7x)`aQf#AIm4U3MGicPCR>+@l1yAhdtcvjYf4daODTQT+Ng7|t>V3c*w<#9
zxW^|&%&#dHXK>rZ>T4UtQuoe?U!~s@TW$O#-XAE<?|z}epSCyPE#oZs=Y>xE(ysA*
z+5AboeMJg?B0Psz_*umB*Vpq!!X2bR<1k;zcwS24IzPAn8DDh2k2m`uOIWE%5~aqJ
z`f3!7zV1%V8R7Kcbt+AE%%$q`GLjy$nF2rmNA@Ns$o|X)`u*ks`BZ)(tyCEn>7~l%
z+#bv}OIkAj+A-|K%JHmYMkovTK3S+I)7gknVHQ-G$BNTdFqgM0*|+CK?3_yxTlRDX
zoAx@7?YzH$MF-Dh!w$wU!#qE>HO86!IAzART5B-rzY;7*>JfQ8YNI6&w$UH+e9GDu
zL^rk$qtbxaJbbO<S6Q0#SFBCN-e=Z`BGs)qi66_k3q1!org($1{PC5$zFi*XJL!V%
zUo)_^vxhm70CqbA;Fu^14*i=BOBLqAMaYF%_mxmlxf&h>Z-kur+hDHFUYPB27`6+2
zw&@lfFzD|UNSfIV7MU+0OXe#mt4ZL8`vdXLJ!M=fp@l!k4#rh;O|WpiCC2BDLRB4S
zJntyNH^)72`T`%!2o1nU3!w*kFBs=XPQ=d@!sntuECzqfxa5U?UWheUg`VLWd(=N{
zg`ROH_>t-3&4B_-I#C|WnFLzC{sgN39>dAE*WtyvcKGw3z>#j+5Bn;&L(;(wu<Cjl
zjQd*vSHp6^ebX$6J(vV0x$*G6F9MXLLLp>j5M*UffM8*AJv3~Bz?=oaEvFDTFmDq0
zK8+E$<3!klGa$=(F5H>61fKk#y>Bal(XDHNORj>#jv82WcR!fcHNjCg9wgUafLDiZ
zLq*v$*kk?~{ImbT8V6Za_^yHn-)p0(;xObK&9NcS7L^>wpe_?(_1W>bOFsaEN`?CM
zT{uQ)M4|J;Xw<Wh!L!oQ_%tvACmIUpRrv(G+3tlIFGUz*<%Bx~=DzBiF%~@2#iG+H
zIO((u9#rXt`jBT3u;MzrI!AEdp#eVJ-U%0*HbC*^VlZ`D3Z27eLUpJxzuWE)_j^PT
ztnC1!q^!WA+ywrs9Ri8Qda&-B7KjFDf~UI%%&*pfDp@TES)>EQKj=e3!Z7H&WD2Fu
zR$#wpG%OlC4qSG5LcWjiyVQ<>!9!9&l%5U6O3R_YsuaGzUJvV}w?p;UeV~2nDD2NZ
z1+TQPLG<p2FxT({jLZ8AJ@;kt&0SS=GuOw0LngQ;#2T-Ea6-!nK*vad8Eu}3VPm5(
zXG;P$?U;t=R8z37Efr_2OvU7cWPIs66;tBl@b~F(bZZVkxB2ea=QjqsbFA=U=rB}L
z(?IzT1JTu~7Xp?(g7lB)Vat)DQ2t^k{H<6Ecf@%haW)C6-UPtLc1I{4X#~H2sKCz;
zf4Dh)Pq^8K&vWa=O<dU3o!pD{>x3CsA-8$L0&e`rBra1aid*Fy$Vo(aacKhHFMHpO
zd-}$ebNlMXJ--Xw#+Bo_g7^O11L-hs_W3w2$s?7MT9VD3ZqMiR+)6o(6YIG^-|bwk
zR2^6O`#AR`<P2wHdYe;P_lo;|`X_hht1Kj~(}0~ZhESDa16S|3fz{<exR){ojIYmw
z#oC21CZqyB)Nco0k3&#CR17&2uR`6cC$Qt?cc|Sx0B1|9;n_cf(JW^K&Wd(Ib>SQ@
znG%d|`(sgjJw@m<&qbf|9Q<}64{J0F@bs?&OqpJQi9Y#wF>VP~&YX*t8p-H*MqmOY
ze9_O{8DGhm<JhBGm|ib~+ZVkCHu5|~oT>wUMmfA#kOBAS0u&t37G?!cxG!?sxV$Ou
zT<4qpqVj>z#;-pkzII>~A0NMfuXeBIt2dwEHy-cgvs6FuOXQ_#M1=}HxTZ(7LOwZM
z&yJ*LjiX>4Z@Od~N_Z!MK3k{LnSjM~!h8iCH(y2BjT<QV<~C|x{~z`KYowcl#boyR
zJaK{>!u`TC3b^>0+}$Kt@pD<W^qSBU{i4JC90gZoo&`&2wqtXTIWzxIU>S+tths3d
z^VJV!Z>B}CGc%%@uY4?PF^^?aPDHa?;s_S%70Uk1n81dI3SJ^>5qoOu$U4idn0Ap7
z%ktA<PIAiZ%3CSsH2MoojebN5OD<DeODoBZI7lCb*SMTtOVi%0pp^C5)O2tvjh7Ck
zq-;;x^KuLs+gsDhai-M$crd9C)S=vRbsC&9h#KcB)1L!M)Yzv)3j<Z?)h<<<`CUWk
z1M8C4f+3_>XF`>CEGb#mo_xTSd{=u>)!&IUZAU!)SCB@3+7{DryFzk?HFQ_6iq@a4
zrL@p`3O#d@7Mq_JYUD1#m+_L`{p=-WB^l-}qs#_IYO{G?hq2z1BiOPv_RP}LjdA~Z
zv8VY#ta3vHtKSySDq^RxM{85q1NoWkdG$=D<1m9gyO_joXH8*;LZaE>s)?+n#G6%S
zxH6};c7jVsaFjOdFnLsDvvmK`%9589WpIs_{%RpP|Gm_1uz|MDEue2(XHd)dAll#N
zL>><e$x8V7yN~tpD;m4`7rDeYb?oCq%r^3ZIF(=hA)TLB7tW84K>oopJ08fGcjk5Y
z0k(q#|AHJJ5ii4!Z<6FE?UCS}G$r|p=Tdy3%s}2SS%L4BQRT1R)8=D84CM!STJV=%
zkLI1<i};wN0RBmO4DV>1#@Fvz%D-P*%s+Xyp0}J@!@nF^&u^L{=BJxo<x_V&;lKU;
z&VO_sNYgi|le4oSO&@1VmF*l^^-iRLzot{d@5O>6uY{h3Y$CbN-4t-(DCK@ULjw-o
zr5j(~)11eWOs+_oRX*2a4;~L^OJW=ZKe0PA_#MQauZd%IIWySrplnv<mCH6n7cdu#
zl>!%7#Nx*kv6o(j>|0|#%d%U{$^tT&xnly;o)^e|Zgyo4Z7kXH{W@$<)&Qm~enrL;
z&X8Kq9#T46OkUsP1gC>FH6N0o$-xc$u;vhc<J4O5yUDVmzoGJ6<H#f~=Sekp^~fpC
zZsZHDG*b$OTB$*z+%UL=BSA)aEO1-KL#<v2>~DyNWyLcgykh}G;&PZUy98eTTMG~S
ztDs}XPIwzz2Y9y$v|fqfV(EEUaG?{X)joy=8t-9)#!q;6Q5sXuDq!p<HH;mjhvvnG
zIRA<{O1!fXas-Yz(#{pz2f1UlP}_yA_QyNV1967oMBHi-g1Ya8dqYw%rdCbBziWN5
zE!h))j1}Q*n=$C0De(6e<`}(lD3%N7)XQ!qtkjo5x#2(Ha?4BL4Z2`v@;N9t(gJUl
z4?*XWo$yAc5>j@o1~b1xc>iSyNczl%b2&*+voH?64W9&G(u2W#YyiB?@`a{BJ`niR
z8~&O5Le*-2$QvF6bv>a_d?yO}K28Qh`&0-Pn1CBWOW^L70^sdSp+Bnve5P-P^$NAH
zeZ~RURdNho33cai{mbyR>@K|TcnJ?reuL;ElIR#MkLg}&cs^MV6ZaXR%jXgJci3n&
zP;<f2TM!4V^}$c40`Z+h7)lR`M1v2}cp)SfKibFQu|nbN2@$xsDg^Hq2H+jH@!0yo
z6^C54$2;1V=<;V6ZaJofMROE!RkS4Pn|uWO<oghL-~t4ywZMS=`(apKH562>ftMeb
zLwMgDh@3td_9_H}!g++V%N*gcvK1(W8p9$x1BfZsf<O;7sPR&PrAw7S>aHSqcq>6b
zn=)vOR)wVP8qg)F3;QC6z_HyX5c}Q|raRfghhkR<`sxLLmW99!E&)2-(?NA>4h(B3
zgr=Ko;4f7PIq+Su$m}p|u5Sh95f{L1;~nVw@d}m;4gn{U!E+tT_`^g8BhDM*fhtRM
zn&W`J79yNl?2T_@g7NI+NPG~UfJ^(QVTnpA{+K)y9WTtp+YU4E+qNWpp+5x;t_U3J
zhhW^-=7rTO#^KTmTkN$l!G$}78rf8+!yo^G7tzlFe_n>#_szhE?iTuG>)__0d|2R<
z3=2#Gpz)GD+|?fne;+A8Mb}p@P5(A`&%Bi@*}0qR8CAhqEYIUstV`l{EDPj}16;V>
zD@SlimkqeR9je^dVRBq_wIt^$`BNk__M51E&1X??$7hjK?Ke^7fS)4$*Am?L{sEk(
zy%MLgNrM}2HJBUy(~PT8AH^MB>Bc>r<<AZ8iRNrH)3^f7Wx{;6gqyf)1GjkgPVQX!
zVNS-BxaQ#N+<bV>SsL|o_3Cm0Bd7^2ZN{KDd^E@m^8n+k;gFRu1NJV-g{QB|Aa%uN
z&`9402b)end*(&>eefZCS@0E_U(2BEZB;DI9)i6MmZ&_{8GXaO@U43oYIaV+rQ0)b
ziS;6U`Zo^;oLhlQ#uTCY&|+K_SA_I#1=`=uL#?s}c=Fl|%#e=3x+A_AJ$nqkJ7tRL
zLj`W&;y>^|e;@AeJ_)A#t6}xuWss5L4`+nF)69g&LJzcp3!0$InM&VsTX3yTyq<UA
z!}gW%*K&{Wn^xW7-=_WKci&MWv)KleEE+-W3!Ug(ga>Vr3l>=WSSnkSN|8sh>5p+f
zEwnEdW-{fpGqIAkY~De>0sBZPuaO#{m2B6Zp$Wp=#_98Y`u6WN-K_pj_u?g4{RlZ0
zVmgSu1a0;?eF!t(Xvz|HSh1s-qgn4WXBO2hV&yiT%)Zr!&72&-ZvP5ov$KNP<l{mw
zt|f?_%n_UnvVN>IeLTBxo?}U(v8?dRDCVzf$<CcJVrC9{OuI~#9rz&22LJd=dRsn_
z^7n^iWPXj-_?@EFvyM_+?LLZqwT%p2H_)Q3Wi(A@1?{<-Lk}0trl@bpRAn}qR`x}a
zPGmTpu?wO8S;54~2h-Ab!K9)ZO6@Zz(fj^r!4EZ=<Z6>CTbxN+$_r`ug*@7NaHZht
zTTN%DZ=j`~TWR<0-4tR}Px2#9kk4nKSGo8q-8*-Wc6Podm&#sxuw05Ak`tU<SJaqP
zhaPjfWyA)&9>KOg7{y#G#<C+1fQ7C1X48u%F!iz!c6RP0c3C%yeT|7`pUtD0$J|Kf
zfZ^<CO)$IG;Kv*`d9Zo8<5<s*(M-c;1bZJlj5Q``v7yrxnR|sKyQuSt4hXJYhqagJ
zazZODi9AT5h1&&(Wd-rYD`{cfBFZUCq4erVG8Vi}k8X%))kz0xh#E<j<z_@4hO|0n
zFnKXOnmk39##rf+vYH+#%NdY|+)ye~GN!re=H#w#O{a!CkdvD$anr|B%YQ*sqY*<-
zk0g^-)jXOsBcG<WmQe7eb#%3MD@6tTM{QS*P{nAX<-(nBLE}9txz<A$t_$<!&H>DJ
zrwXfKI;?D{5$o7$$yA0ouzPdd*t`rccI!?cbIP8?mdeGkoRCCz!XSxlaY$j2i&EIw
z?j*K1bSi7@i({7WC$YU#1KHTkp6tb~u`Dp&h8<aGEO=41SzC$%dnWA7@Za;2tW~a4
z=W!vQb7~*Oi7Ey3zKE1u=F*WDk#x%s$=Guwt>3FhYklO&`|EeU(%=CvedH{EH|Z#U
z<;`w>^S4Sq!fQ3Zb=M01+p#75rbTo4zn*FQnj6Xd=AP;Nk@zHDRUwsse=VJt*^$Mo
zr!C=+=@#&}7MAeG9<JpzgE#Yv-L<@S*&$wQVGAFB{49Ta@@;<5x|e)LW*@&_c_5iQ
zRwacqgK62F5%g@dGj)COrjgE3#G9s(ZbmL0XQd=>SV@Ps?4~TQCW^J|p!B3$!d&td
z+20WSYI$-j;kX7fUNnr=3x4$5HqLCpSx>fj%tY2?8^>J3Qdl`Rhn-rvh+R(1WorZT
zncuT~W}=wST=JJO1Jeb}Z%hVr(@10!Ou|_315dWJ*?}D~Gi6k)!9I?aW?J80QvaWG
zq<{MWRqU&vF8z7rB<D-9(nd5;+|M6vYvzA`$>H;lX!4$_@!~r*58Y7ZvM8WM;JOQv
zxPjkSb0;(Z;}lJZbDV#hn|$dlSL-GLeKQomb-gCMzdsbBlSY7Kume0h&cU@7f7q85
z31t#V(7zxHKK{ys@%|;y;Ux6aE>y!()xB_7qY=3KZSdc$3((Tp1x)TGl*xSuqv=w(
zcAEmKm<o*la|5(KXNt;4guFza6P7A)xOJ#Ejw%VnhuY!TzbYDQPR66joGF;RDiQm?
zPeGsB1Uyq6gDw5x$Q}ivbFLRY({w|Z`=f;{qXp{!8;ozSsbO{7K<t0?1FmR2gO-r1
zpe$~Mm$U1jKW7VMJ}-j>{>y~dmJBIFg=e}02hpo-;N$>9m^N1f_8*pm^>+Wbp(>xa
zb<NK>_;#0DP<n&w2)xX_)x5wxXgSBNHaX9o9dnWU@Zt)0-KdjGd*02Rw0g#s{d~v8
zMD}r2|49jcFL|)BR)>@T0~niZ2KlS)VC*edhzj<Di`r2Dm<s)G7J-ZQN?0h=_wRpH
zLvq+Y=x90yrlzOi%l=NNneYNE6@Nh0dl~$8O9gM(>Y>dG6I|D2gNl#FV(NKM9335m
znf_6@J17wiv}WKuKY<n9m4#cMWux`IY`l||g@#R;Sbi)87d9l|lJ{X)K|YwZavVl&
zx5jOghv6B0HT<9^johyu$WXfuu7V3m?S2h>xl#rxvU9<#CkWI=*g;j51{@pojf1Q+
zoY$+Z+>h?L+(>-~t_6OGYW3EM{wBP3JCJ4B)}uUDeCTnt*l<mkc>S$`{8oKK{*j_H
ze_k_)52~EbkN&clH*qcIZ?&!G|Lxkrb2<n4^06)adAoDGp>Y?#&Hfd?wyclu-#>t+
zKNv*gzv<I{S#ugP%7Ge7-D!|R2u=2xN~2!SBW?W^baQw){jsd3%TD_!De5@=*nWn#
zX$rpgR$;GE<uB^HBFiXNogJMvgjHV_e9l=8?2RQbyW{?B*3C%_ZKp79&J5-QbC@r;
zfLRaCVb;}4*t|74OulCU`*(5<TQ_<Jb6cOl=D38iVI||)&$mu&x3JqHC`*^g`O33h
z%HPSk;|?8{5>wOfUDS1T6^$4)oA#m~ZPpijh3T?1Nb)xS#<G@g+A)*gb48zz*|J+a
zt9pG~%t8Z^=I17n(O`Mbb+bJ;vMHKV8@!Br*HX?oj;!Gd%^SFs_r%GzT;txIe#{;9
z`pi8aBMFPfDnJowfcuLf@QSy9Zz&EC-Vcyh5(wo^ap0nx4&=8K9%dE6w4w^gPu~jG
zqxONvqoeRTuN@i;Z@^~$39z^?@UdSKajYV$Jl4cH_l9D!+6e4U5OU$wZn(I@8{K6m
z;=$ulSRFeBl@BH3y5uxWn2?DRN6o_c9~ro>awfKzCSeW5<Ir8<I8MtS<)?CJ{dhD!
ze_)0m_Ud9yo+7&W`~jE6&tc%ROW@Xc3>M4pgzx>UAwYF8bjHTO39$$s4l;uTV-=8H
z`IU3dxyp%~>$#d6>p0i5*_^Fb0H<?zI5%#_KrSGrQ{*wSRur*jmT2c{GtvCHXWho;
z4tKkhX4pD7XG)vl-Hx_*+VbKjBdx`slY_+7nX|-B8Aal0TPwxq2ksLGzCIz&UUE^K
zDe+LOQ}<ciA0y3|HmLAr-}U*QJ{J7XD^7gyK`;KUQY0_0Ka)QpmCKvwm-4GDDtRsK
zJ-k)MQNA<c3@`il4liH+o_}R1MZ@=~(A(_6WOdYv_!X{{q8dbv%cjx^iA5AKrI-|c
zZKMk?c9ZGYV{|~_9L1#FqiHif(WnAx_F<dgnO-oMMg1DV{*!cObrD|d_pvZ`^K>H1
z(wW6%ZFAUh_vOskcO^UZwwQVRC=uL=B~0n=O6JtCT;RhNvp?<WOfoZ$l^6Q6%{!e1
zm%SNlQ&MNC3;&W!LN}3XGmVX{q)nIRQO7lo@{X#|?M)s0xpAqyXT%Y4^H~Ft>QH@d
z(4kzeTce(P)_aH3lKIEAeNcsKN=6_yvV+KU5y)BwfYGWb@E3ZLT{2mqemocY*9kMH
zeXHTJ>_%9Aax0i!-wiRLhrq%AIQ-!W<c?o}$@aG(#qlwuw7dny)*tXvM+$8Pzr#wc
zL0HYS@J;q$++<{eOZJbz;2*ZA^41aSlE&dcKS0BIo>+d~8#PAy;fO+iEII3sF|Yja
z+jAeZI5!^u>_B`_=!(&soN&uGTio4lfjcaX5Q6kDC0q@4;^lFFp(I|tCO8-EUclPG
zF0l2y0DUH6;eW6Z8ZP|@BerdaLus3!&AuGO?~38zngXcP$c1kY7YOz7TzIdM2@f;U
zV2R^QSP?xFj@(Ftr|UC8ck^6W@n8YWk6i}CN|(dHfki@IaTP?|uMpVnDwyxN19X1u
zh4zTUFfsK6T(WKl={=X>@3lKHrS3VLu=x!2!GA$dav=KYC}U`xCiXG|{AX)|>Z>iW
zQ9KG)@A$v#gu@+z&!Di^7cGqf@g6r3`|Sny*UM1M^$x|}(200eEf5tdd<9n91D6H3
z;j9~u_~@WD$}5}U+98ASh=K;b{3VZXG$e7s<4^Eq;$wJIa}7qlW6<u=1TT*4g#@gI
z18>*D;6p{wotp~>j?4kAm?Q{(6a$=jC|KwRz_cA+&{OLU4XOaYIz_PJi3oO$00<Sn
z=jiPPrK<ig{7*21C`ZCkkI7)SI~5w7vmjqO7kpP0LJ7YLs&{Mv?J?V+pm;B+Z)*UZ
zMXj*j=p2-8>;$(vPr&QxM_5<)7i!dHv3~F%yg5w=ExLwbVYCH~xMqjD1pkS{FTnCh
zAN2bfh#d#R@Hj@HUU4jrjE~2p-SK!OC=QEbqXmarIMzN1LZ_`hIK&OGt<MSb6s)oJ
zfHD5j)<x+YWeky%#)qdqgNOe^2)T0+a!OmEV$pt>(y#>*?N>w0pFB9NoB?wLkHK4C
zUyyZhfj7q15c<^!8uE4FdA%y!jZuK_sRJO6B*DA<FW21ti}Mow;%vA7=C-{0$DLd*
z1;#%Iz@jh(xLYv@9v|0&+H-?pvoNzLyKD_PU1MNVpF8Ma5LmRw!pVx65OjL6z`Yd0
zo``bLzPK6g4&4La;u=9v_rbkWm!bLFeRyd89-1fp1w$7(R5+@J&ZPz@zuOG0pV?y1
z5EndW>WL4;6YxddB#hh>kL#1Bqr~1B_}n4`7oNz(wN9C6T#<&RoynLY^c+$I);+N}
z5MwzHY>^*>dM=juamWyK`85b*Risf}{XKA|w_tLa7+%lX2U@Q;z{a1;AuJ#nhLSHN
z*w}(}nhx0dNWtbIk2pguF(;>7!_C~blGC}8$n|Kta-q}px%>E2G&<v~D9Lw=DBwz}
z$l=v+(dILE+%nHib!%PY<mxc6r#0*C^0udnXWJI;ml9XX8Hzg{T*a+NBgA<F=ZX&m
ztQ2>qZ4j&I>=Jt}IU>GutzEp#<Ca)c?zMPw=x^~{8+rbYtrlN0!I(e4&yMd*1%C3e
ziM)F2G+yGsLf$C8hzHFL`~<yPe(%~wK6`gNFQ0dt9~1tTe_|y`cb_Pez-ExiEGts3
zaHZbGK{P6Q8l8#}-0G1fROVetYU}pWuh3?y*>Qp9mOiBIhTmvK!vN+kxDPf(3w!;>
zSu;IhS4fMWAG`i7k{utH%yjCqm}5dNdop(g`yNots`i(%ozZ3Ns;HFdO)O&CyO%TD
zON&_hu9-|GHJXiV_GY0r4ooxJkg=mm%*N*{6+OB_pQ;X!cXJu39F3>vN+Zbb_$S`%
zY9-%Urood|OY23aFCyo&Gq_Qc|KqlJ-sS?%3-kUf>QH2B3Wi}0a4y#awtbrjc5f2k
zPDMHlHd+jY3BpX$w-kO&u7J*_Dwq{o11`S%;M0x<STnT+94g!4oiNMKOznaza!)~J
z*n2p-yALdUrSRJfIrKWDf~f<wuzjil@<)uY^RYR$+_1(Q8TNRp(iy|--LTXM@ujyX
zcC7NkGY`E{d!!G}P4~u^HRDn0nmaZLEKOyE3w{)Qi2iLhsHSFty?+d`Vvimgk5tE^
zg9=#gC5_*P_QA5TJz)CxJ`7lS4a#11z)<TJc%5(<>X+|@t-`EzV09%J6jwlD)GGKn
zpcr-*u7Hx8`S9*}E<8$F2F<gU!oqvPM_?{YznurZQU&nfY9X9)D}e(4)sWC%0RcXh
zaBl22sK2@k1}GhX<DZVe#AU6pqxm%WS6_um7TvHe@&ybS{u!(b|A2+#0E~X5h@XU<
z>CfGIsJ7h@?TgLvqOT2pJLQ0qf~PAY8nANoc+_|C#m&J1s2ClHF%X1O-viNl&IF7*
z>4zB)ys-a0qN#!_N`^b)!SB`>t~DIP9t^?N^R!S$S{cXfmBF?@eUR??2FiT9!PM%K
z;JX(?-pxk1e0VQ3R&9loW$VFcMH%c_yaEnfSqiZ^Suo+PaJCGb4i}pfAnaod=v796
zV{Ih#NJYWfx@b7LJ`N0yPl0NcWEfwSE;y^^ftvqPh<7c3!C#AE=7e%s7PJYT|Jeo@
zw-*%V90n6;fw>ntAX@zzXzSbu`CG5yg=a5Ju@>sTe0lt$rG~X#y14X+A)YR`z`lug
z__cEkCVdrQ)AI4?7wwN}{=t}N9fm#KlkkXRByO{a#KL`(FsLOIwNry|;Z<K8pyq+H
zQRDD?*Ju<r=HNIlLsY5K#_ktNs2e7Y7Zkohp5;>r8+{$5+=U)?rohLX*#%1{R6>CC
zDwy*$9}cw7g{^O=f|BthnD6HYC%pkQ{)~b9fuq3EWF$BzTENj>Gw8o;3MO|<!9s30
z+zPdT^GB>8$;1w5ha;>U=?d@9dqDBh0B{MJ1pfl3z~$U@i2S|?-aIIP317+}i8jEa
z;O$^}U>|67H^Eq8t=ZHwm!YZj9vrjn0fz(qu<)l04p}VZM18e!MaVGJ%&|bvJ);oz
zyWsX{57aLZ96cXG&~Zu>#@58+zlDi7t8E%i^_`CY<fq|>Uz2gLbu9iq8IGB^CgA!8
zPyD*Z1s5E##l!KYxaFEIdb%s)h!>K0zvDg3I4a~{FLgkgbt9a8y8}+Ct%ZNv^Pzj#
zO!%`u6jGQ7F1d|_<{t(Sep(qW=19Vhp7&hOp!?hm!^_;EJH&<kI>vcTtmiK5+sDo7
z-p#!g*K*y?wOpa?E^gPFJ=`Gw{ajgOJ-7DAQBE_qjhi~@3@2N6joY7epHtcVhLeu&
z<BlcBz|Oe>qrXrGW-m8}<9lr2cmFsr-RK8O8>3;Gb{b?lE`uQX5|B#X0H@n);Jr;f
zWF2b*iKNR=H~t~aiWJ;|mnHGVUq!svq>bOZg?nF^HRcLjr)i}pUich@Ev?bGW%o2}
z3`xi4lq?*)b|D(%<zSb@5{&q~2vdTyar4+r9R7Sds%(qKu+tMTia5;gwZqTnjqqlL
zI%ZZ&3ofl57*l@*q8ppwz~XAiGb#kh(5VoqD+1$LgFzJXn`=-#!*y0|;1n)}apF6&
z+}_GU(Y4SH*T0$W;=v8=;_NgP-rZ;n-+MTgzi?(5KP<PLx1PU)FIGIvM=$3228pY@
z$Bl=)f$2xyR8xX@S$XOzP$zG}X|BB3oN`R<DYcm+zu*bvH!zkwzt5z4=OyIWyOJEV
zD@aRWE6F_ij|^&#QcH9@9oD!(Bd<N7Il{hXGczf+d4VDu<*3CjdJkig8wDrGAA8n2
zQN&Iq_^`ciCbC0y(JU!0krf?HVPzTV?5_VT_G##B_W5EaI~<V4UN$5#N8<!$(G|{i
z==!siF&x{rax~i$W5$#ubXjGy0yA3ji%fE#QYKxXOPNjd@Zfg3Qc_0xn%VThcap&K
zkEN~$!|2#^Ir{tkHGjCXgMap87vKH0h%aQ5dG}^VK0`y5Hw=C#wrSiYR*0J>zLT#g
zUM-W==6p-ZwV-3Q+v`CRB8LGEqGuDQiQK;zi7ak!6V0$|5;aafFS2TTC{oz;P4s8$
z0Ip@R8YiPLlncnP;`l3Lx%(l$oRn!aCzX-Lb=l@}$F)kix6+$9W8Ga`+nh#j_?T0i
zN!d-#uKFc+W5X}5FI*l}6$Ms6&J+|g?ZGS26Wrw@V3jae%#_Omuj#Ac>F3R`vtu80
zemMcl)?9=$`yRq2zps#cLI$Ums-maz5Y#jmvW87#@O18YT;mgplaEeDlga6L<mLi&
z_RYh9K`Ssbe<ey~72&PZLY^dJ1^O(^!@X(?P;bW!OdJw}m$m%xq_#6Y+hvB)jvBar
zge3NDc?9}L#W3^Dc6d2;Ih>pk0{TtHu<hpu?y-6e_j{BRcR*vRsK6{<JaG76-g99#
zfAnK5uYBVie_~k=Z+=>aB3w0S$1_8+{bo%|cDm5Pq2BayeJDM%o=m+e>C_axNZ{EE
z=t4v(o$jlkzp`8CW_c|oZaqK=PRHnOBGGg6i{wyrn<|$-r6lc-bk6xV{re!p&i5+{
zd)+lye7-(Yx^KkX%to*qXvccg#<2N9k9m~HgS`y&VW!IhnDK!icJcT`)>ab2q_jg=
zL|8Dp>^Fh6$oaAldpww@mm4ExCpOK(hW!z^GgXBlOw&S>se1~0aB`)D9Mo58ta?UM
zR6FU>{L?h~`Eg25tRtnq?euE*21-sTqvOs66lAc7dYjY9z<w%q%#Nm!aiO&E;RN!2
z>`R(K-n3fJi#qJQ$fwAgP}`5vZ%!b+lOd#WF_Jb&PbQP(6iWU%n+9~`(5R#WYETjS
z!BZ;8Wa?&8G^nN8)d$F<{TO+)G0IqWnZgyisVL?Z9ZLI7B0VW~>9Ra)Jgdf1d-d3U
zPh<9PlO<boZ8RHo-i5u4aA%!?zU<tRAm-f^#xy%3nM^?pdwe67{jQ2-ZbFW0Ty_MD
z5gbRCX9lqClH-~BI#;%4l07Rg7{NNihOxuHgx%BsDX_*B609ioJ#DP*rsL1f(LL{G
zGI{nNrSqHV-NRMX=$0?!xiU#=cpN=@5J2A#is(nyXv$Nwpx(q`<nE_S$@|smL5d39
zNmr!wUGlX5ryNyIk*Bej6=;EjGU=^Vr9F={DSVhd^-eUTd%_uYs@9goH=M~>(}NP{
z1=9BcF=W-1LO*{Axi`-Oit}AXUvxGJ-l-bubv-EfsZJ0td6w!X-lA)j&&j6q8+rVZ
zVljUdg&B($J0>@b9eZiPl5dS>qB>Vr>*OWuv=3tUmPfGe_IQ?davF2CN@cG1XR_E`
zX>8(*nQXd63S0I*k%ixnVRtM-8EE=4pVw~8MVMzzS!%{m*hPNBUWt|N{YNX=E4uOX
zn$Wj7N!yq2B~954RH$7*3UR44sAvLFnFGDRq2#(yfi_Bi;Zs9z^0=&--(+6Hul`)d
ze;qWR?;R7x|964ozX`h!`t5Z23Nv|rW@*28#<CaUdzH7uZ(`4jOA<-^F1SV9|KOOo
z|I$%$$opgB*?KMFYmU6w*zSyY=ie*h!tHm(t94(Bo3g)&|0YTChpUB5-Fq#bPdDOU
zINI=iQ(Soq^#ERKW*mQJ!z_N<<9z<}n$`UL>@EC=rhWY7v=h9-xeGjfe!wT{f8}?N
z8$hK->eL%=NRPDb$T1V?c6k_O?oFi)vvNuOe;l26I9Kl*$L)-ek(Ir&S4PO^JdZs>
zk;qC@TSMAqlO*3FGEzx}mWE1k?mLnwQAA1_ib^FK8uUBY&vm){<+?uSe9rSc_qp%)
z`}MZl4|kYC&@Qcjw5?pmX2%2g*Ypa8B7Z`T&m@ezB!^)gnwWgp4AURZLTfi4TvM?C
zBaTMnk#n&)Y!r_fA}Lr=mX23iGH~2$A083TK-)j5s7n%Y8{bxR99e;D2ZFJ7yBlh`
za6T|DJ9tHk1ooZ&3cbG{z_;kLFvoO1Jbe@e6V4`3qxOq6`+I`jE@#YUU*xL`+;p9{
z{-h7H<bEEf_itcAw|`=Gx{Hy0{wm~;mJuo7w<iZoJV+Vmr9S1nnB2;aA#KAu$*5}z
zxyED?cIzRMGEqQ&_nshW+LdIy^D^1OS4&LKG!l#UHln!e897q%j!X?2Ari3@#BG-_
z_4_D6L$}J(;;G71sY-+Hx6!9ZGE69ct`&8%n@K$boH))Ar7t$S(PJ*2^pv7E7475L
zqx-$-6?HEvd)S?B{^v|R*70c0-<kCEJuA9t%$UA9r%SD*)#!dQm9{OBq!oF>RO0g=
zvf1(z`K!+9>^s^?{_;EI?b{n9JnRD5+)_r4*cOw&M{>#H;VjZ_wU?MI;Cu|B@q{m8
zJ4wmgOnl~TBwv!&lM71gNvX&N^44V&DQk)&W(RhVFZbff-c`vYxjdb8rR^tnlMazl
z!z1MGNC_!ldYYssULX^G*U4xL606@Wq`&(K8DILE{Fnck$glcC8kY&t=kp|JA;(F5
zeodKHP12$kz6NyN8gqKx&6eZQ&Z0i~&h*(G5BgGRHhsL-pXQg%rHQ8lsOFLYdZ>L4
zo%6$&PVe)gxuvdj)e;^Zb+x09Hk#9B<>~a;a&_vRJe6)Om`wNH7o<HKevsO)Z%HqC
zLJsY^OXk$xAmx(hNW$jh#OlXkQkl7*#95^fui71CreqAsa9T<nY{N)MUm$7L;<SeY
zUZhgZgCthD5uqG6GXJ_ev6A;9A4+DE#q;M9A)8=Q?ifjStyxZbT4IQ5)OJ#>ltj3I
zU~=+lHu0#<Cv4DhGKph(oVay`aGWF3YSTgrO1jA1wtn)UeuP+E<D)a8MCqKlQ)ugU
zCF<FvNo_O@X~hyt8oth+3M*3TZQ)5ZxtZ3z(Ln0S3!&yr7)^d0PGet((`^gGXt_@a
z6{rrRMK!*(kDF(Gp2_hcm2Bw#5MwTLLyMkzqCoq$Po|Qd0@S!+n7nD>hSiT-Nb8>(
z@;!v}to$e<lHCW$BChXZRJoA|-&#mMiu)6?m5_U{XOLk7L(*iZNgm!&B58fHq$f;@
zEY+4E$JNA$pra@^=MyD^$Ha)?V+r#4w-k4eI31^&64|SyPOgdSk+t7UINq8K(d9;A
zQWM@p$u*eFYFtVT@-~q@oHt_6%?z?HB!`sUJxaF8RgmXy)x;#ao+R#SCpS1|n0@vz
zY2tLyD=Nk4%Q0EHBVU#N+MrKsmRV5!*$y<}JI4((@}-q$gQzaY&QUzDgeI+8LGur;
zrV&rq&|b|o)H!k`onN?=n*E5NzmEpdkPaWpNj<2(gbn?7%7E_vGmXCUmZrN}1*qcc
zPh^Gn6Y^vOkSdY0<eT~ta;rX#EE|X+*S!OY+d+F`eOQ|a8cLBjGsc*qwcSio(JiJv
z@+6}da)5DNvYmNs9mXVP6UOt4A+w@Off0Ew!pPf?@|x0mc{`-<^W6RGc#++gd9kz4
z^320e^VmBlc?SYd@-&~7@g^M0d3}-RdA-(GdC#kBc|vdR@|HF}=AB*fiYM}Nn3tl%
z&n)W`XZBp1%4pSVF?MR^OnSc)Gv?^Wyz-7>);h&9$=WH*n%Vy`dN+?UkFw7(fuprd
z(d0H}ibOxttM!{X>ncXhunMHARF52*YD@H-IKHl1I9U_6k-P{_AzyABBnoS}XE&pY
zyqsQ7ibJ0eKFg2fQ#T*=9hywjo0O@;g6Z_fP8+&ez?CYU3ZQON7SVvtb@cI;9rTB7
z68)Ex#&NVV=(1n?Xv?vERD|<2zs^XZMPK&N<e?4pMBXB5o9Rz6dKO(@XF#9IPNgpG
z9Jjsb1(~w{CQ)xJAWrYM5`h3pcGXCc&=1HIjz%(#?{azf|65)+InsjlU$US5YFW!J
zo<GP=$4Q`cUKs)yBha{I5AT+F!kVq~LEmU8<e%LD*G%?6>B>|%w0J+X|Ca;)B1I7P
zfUB`aD#1AZ3Rv&11)0%C`0~09()^!6z1=(T&HD<9%g5n;ix6Ixlt72IG8pq*5vjL2
z9yp<kq}2%bUADkDTU*Srcf^UK443=rf{N-~{++NViVk_={6<f_l;we|J=`$)H$}f2
zPMBUe6Q|c%VIMWYTrWNB98<$}8x_#KOA6!MCSl+Ou9oon3Q2q3Kyl0y7_(>w(~dfj
zT6zU`zpDU`h!gOku>clo<UoB?7JN?H3%}!2;DUc5z{5STJZUFf<uoEmj@x1W^c|47
zY!}#XiHGSg5~1R43N&Z#<!aIWz|<Us9Ory+TXz)VIhxGD>u2Hkvnvo;Q46Q_?!r{x
zcG#}|9DH&I;CJ~blo;^gsag?C+bfBecFUuE<}^H5tc_a>4DsJ`3+(4IYfZk)LZxM#
zr(4Sdh4_82<c%+vd+(3w-g8ik`#aq3i{h*|iYL3Hhdsr(2?u;RHUpQ>HNjXbT~u$J
zhKbg4m~cWIyDS9I`sXMJS@*-QS)K6C^e#lJ)W8d=^N=o63RyZwK*Bj2_@dLnEF%F<
zxNLzm_q8B8X&HFLM1uXQ1z^=51l}!y9A`8TZj=Us=guI=%?^R!o^YrNS`1qJD<Qgf
zJw$xk27@YzQ2HVbUbtn!^q^c=CsPddd&)qf>^zjET!){!_3$yd6}-!OKqP4ZA{4(v
zTqQpSC~^68jZ?6>ObOSX(8S<U13Z^ufj4YsV#F>6N4Pq()Mhri&z_6L{z3RsDFlPl
z7vPPw1t>c?gk#eNVNCTLd?Mt7C-hx0+H)4l7tKJu`CJBig(l|RSHSkc$*5`|h-C{#
z;j`W=IQQ})yewxyG4CR@UpWC^Cmjak0~rwN8V{=+*Fn8nBwUr71FQbIz>eGY@Rer?
z5+O$LctjU6e`vzL+3IlNwJLl&r3#{%Y9N-T0bdVjL)vkD@V{XU8@epv<it#nx2E8-
z#~VJsp9lSWqTrd|T5w#x1J<lg0pF+lL0BXYUjIG@y-*3dQP&`)uO6<tv_ni*A1tf=
z3_|xNAf<g0?kJdo))$l!eraP}gb8+Dv%&0M9-b}sKza1X!pXsy>=J=3MvHMca~X~~
zMWcpBG&XB3Lr1SgSYHu_E7r`z>9>8*_5;N>13R3kH^$C?8n||vJl^yZ#k~iA0kh-{
zsQa{n(dHUBI(`~{jUEQgh%^{nwGno3+MpH*XLxnp6yoZq!T3K3*pvL1b*=4Z4d%D8
z3IFO?shEpwcGO9B+TjA$w)-Ia=zAus*^thLsi(4g-X^pE{w1?p7NoLEUZ=C&2QpcY
zu>V+3=R9_m`%!l4+EeU0_5$neUBeovH?p?=kJ-rYuh?Ld5%#5+0F(?!!0dVjcz;P7
zPPCdsn*|SszxzVwtc4)0w-IVqB*C&vS>ViH2sO*kfc<DS@UAw3-t{iX7x(~$Ipc8H
zN(^t9%VWz04XnyD#w}=vgTGzys?Z!vJ{X1}oWJ{2dklKjZNV8;yU?^E9^<SM&?_Py
zV`uL~;TfCJ_S9;eGqw;nWCh^cE{+%MW{oRdbg{@%9t#%>;YG_2a98pH3>~WiSEYQY
z%7};Wzk*;_iy4e9l7Ov~yI85u#jNX<AXakZTitzr-MZPW6HXT+Z}Z+rs4{A+=Q1Cr
zB`||!d5qEZv&^0gz$CtU%y<>QV~k9GG0b~mV!c9|cv>oxwTpB}io6-QxXhlU#kg^^
zp8#U35Jl_;))Bv_yNQlqI>&JTkGyp#B=lPuDcD{`oVsdBv`h=xV)~T)Gae-QqMXk)
zT!>zgm!t(63Uud64SJy4fNIUQqV7eGbnJ*Ly(i7};_Bzo+$~|W;Y$>C9Oe3+bED~*
zx6$-b!E)-pb_spRF<GBf2UFSI{#16{jmm6sq@`9C^z3F`Dw3!~e;=Go&phL!n<jrG
zN25E*t6xCQ_MaoIjzy$+QYNv_+D`txSx82|d5|;3RwU!929cGKCi{~3$R`+JX8dYr
zxEMR8>evNl!HyHmy0dvqz^^Rkg=sn$fRe-{+3#T_r|n>No!rKpJ-war=iAL(yqCcE
zpH5*W<zz7Tv$C0pf;>j2wuDjTFJ~Tay39oAv&<6H`;5i$9;UhY10(D5m)X$6c`f(L
z67{+2#LLN;<gc+OH~)B&WU)|ESG|Ue9*ieZwfjitP#y`MQAU(bTqb#*^(1CS2kGS4
z^p(TEi0r~ibZ3+-RTxsEeq8QHorNte&2gq3oqqJlnNa%Z$}-xPA48QtZ=o`Cc2fbX
z1o~_^fgbctpoWRN>HCT;G|qb+9jaPP-?<0T!tL%<1Z}C^UVR$R<rLn~5~1TNpNM4C
zL*g8Hne@3GAz#cBh_>5&qGM!6tOvwM?A}Mr2flnpz{7)aiGIvWufFJX@?${Vr3Nn3
zXQMTHYRzgk^;H(T&*&8UVC*J)t+I{vE$nCCD2=hh*Mz}&lQe`Z<Z6OK9eC<$1{=28
z13T9Znm*12)kO<otYt0uy6=ML-%_D+-~eFS5xDTO6jaC0L-4yAcu;y50v)(a&&oG&
zdUOP4r|_fhuo#-0mqml~(@^oLF6POYVZsb<4ayNboZyM(?sHJeAQ;~bg`;4^BINT}
zib+Y!uw-m0h7@so+vZ4Qi$m~;<6Qie<cYyoc&H(5jkmiD(Ai%NW2<CPd4>q4^8bL>
zJ6}S)^nLjA@;V4foQ9CX!*Dk@4Z?>u!GWb=a460VawaUHy+aeyAIiYa1|cBwqb%Ro
zKDO!cLpC|?HY;=F8k@m?fnBll47=@lDT}|4v2N8R?ETRa_Gs~OmXw}kEq|S1FXo?T
z)Aw9uUtg$YwJh$k_r)KvTl`+IAUVW(E&Rj2G82K{hooW2urizp)`RtZmawgafvhS&
zSZlcu3TABpiEW86HgiAB`<xHD<z-N?^)h&_x((8MA3@8rH&C+V2mF{UjKgu#_$*2V
z`!4I@Ie$wu6LZ3xa!=Iy9EkjTBXOtB3T#=l9(NALq4AO(*tTyMUa{PTUwGSb)y-J!
zyuSu_TwaVB4fC;Ku@~O@;eeF`#&|ea6)l1!@m<efNHu*4`+hWl^!iG0t~~@6&v(Ed
z;dyZUr8#_bmgX3hZ&=M;7uc+G@oeG;Q?}ahZk@Qba9#M0hfceVj`B?9CwQkyjhL&a
z1DMkLTNwR_{Y-)IQRbumc}7C8jtT2}z^v-+Wh#6=Gy3!YF*$jn<ddK*St+VYd~5Z|
z6h|wPUce(V-+f5QQZBPVa22Pk-%ef}O(l=gxc5V*kj!~>iir4LChu<m$G3Y(BGX=w
z*F&Gl8$CX1<s(L~^vKfQ+p5(5qdwg}!;;?H=t$$YxY2!+{OO5T!8D0oNSOu8X~N3Y
zboZroR7`L^HFS)jd;HhXH{Q|ouWuA>$_%D^y?yEN4vtH=%Z66x8qlEC)2OnG6m<&W
zr;*j~Ip2Oe5n6kb6mC65CaD}EJ|PJtW8q@rVCY63azeL1v2sMpYMeRd+|9&YyvD4S
zDP&GgBrskkAxzCrOXkp(Da=^L01s@g@|>6L<;g_4^QsdBc`tYT=X72B)T~n{?%%RL
zlUi%t@~9S%Os=DqrgdG^w{F4r)pc$LDRs|R=F}bjQ(AXb;Y!`9k%l_H#wT^Lci-1l
znN8H4R1s$zBox@Q;yP@my(P=x71;LLxoq$9rL5`TR+i%|vh(zE*sMp#+4i>=*}4>D
zKR$oVa)tudcf$l5v0nn*jFiF7(g1!n&IC_6A7~;Ap=sx4So0?pMAzrQxOFMSExrtI
zq_|$MZ#Nt@{sh@w{P<>25+Bs5;1?GId>mwpR<~U-*EJBklNaG^#Tc~Ovjf#slJI0u
z8j4tEpjzBMoX)oox#|>uU^3@d+KpR1*W)ApD10R2hyHSon3XpjgVg15oeV$6t>}gP
z7d4=?y#RKLZG%WvXVBK10!^)VSkLMetizA9bz>S<yhYtwjK!W5W_#@w#x<&sIV2%S
zLhI$pXB|DxgJ?~LMx9AS-yAY)O(cPq)#RelHu54QiM)5t;1~p)_p>FRM5G-fwI|My
zaDyuHRkMbKAF3zok{^(wA6?|c``1J!^fPHEzlpb(AT2EsqpZ>tI(|xlmfEXvd<7lq
zu53h2Z7k@&Q5(9)&XFE}$#6xO3l;z9PJd4IqFuARsoq>~dep~@elYQ%55`?+Yb!&S
zTyvl|I;^Rgrx~r{e8H->HE4~D5*>G+LX#6j>55)HTJd&-G;tcHd8S?DO=2_AsN<M|
zA1;#<QWa#T$#K$2k8paLgT&7{lSFHz5zC%L^7ip=@@3yPQrEJXo6&C~MP(a_y51&I
z^D~xA$ZsWk<92d0_5_l<BbnUVn@-g2_7lyNgQRJ5J~=2+La5g%a@6uXvAA1J`Xzvr
z@->sLlO3e@dmoAV{E?KVjFIpz0s4gNJA_=BLMvV=(jiR^8WyHcUE)lsQJ^(-ZgZeB
z?h#6q-08hMZ#q@ikIpWhLpQ&lOFe$f<$5x6XrLYE_uk@7<+I&r<WYuRXyoRJR+cn*
zvLV$<)TF;^xooaMDf(7dgvw6;Lk5dDMoniA2^wi3j^cGh&a{f`TT(_cE*20!+5bpv
zQaTy@6HnH^i6sXvuOyG=M3F1pynS|V02z|@BS-#ulf?mEq<GAe$iDR=QzU1T%`5!L
z`LBWGblC!OGbxH3+`obd-Q7S2ZFZ8c!%0MX6{k_y_aFHhdW0CfI8I)vRFX)AtK@G7
zOU^B5A%SIGgs-}vOiLXh7gIPMy^1Kc`zcMQOK{nS&YH9+*??ZVWI-d#XHs=enH=x!
z@qfP>|9AjZ@Cc?|zMK~Oa~M52C7jEU4W-(bf~g=0q^YZYX-%j*T``MC4c%;L_*rA>
zR<1=0*DKNjD@l4;S&-%*8X=O<M;^X?K=SlziAwG{l1fU5j0vYl4N4`}tGAF_iA%}K
zCxPUWha2&!o=Mj8n~?#o_w?YL8ZmmTNFpQU$XdH8#LP>IEKiUm?QN1o!&sVpN|hm1
zz4D~OSeZ1%sFVCkU1IXam<Xv^lb?&6h*GTw$#)DSCx;diyH{&D*6l7rhEvH0v22p`
z=?K|Xc9PUOUL@i-ZjngcW+Kk<pvxZ(kQXwXj-o(_hUZAq;6Vkd#(mEh-Hm9eoHeJz
zbD~eDdQj<?{`Ap{V0x@Ak_N^ur8fIHef7X9njOBHwmn%%y91X~pSMx;&V>b3cW@5P
zdgxA@&pXoX?dG&8L5KDTDN>hwjzjwLFHu<kmVD88NCdfcops<8sos-AhQ23}t<P7I
zw>2Dte7P-gxvEJbc1RLwnO{t7$TLQ2Eiz6c6^v|l9^>{cl{rzifl0Z)fH~Ob#_-nJ
zFlXcqm_OUqn7VmW8R;l#rf;bPV__}Egq#*-f=k302cgMKR)aJ%*dfpCGM~n@J=SJ6
zH5xNrQ*0S4jusyK!H=19GJ=^Wv5wiR8P6EoW-vFxa~bb*#~B6J3moI9j-idMOxK^6
z%!$e08SNZlvKM8DiLnN8A2ub`RvcSJVGhx3SVA@~*+!(Z)5)wuxnx^=De;NAOtu9!
zkfS%B5ciWG$Zb(Rx_LLJlR2YEuf*z7_O>OpUe3@!ZLVKj9!ir7qv@xNO>|^@7d`2i
z#8E#}X?<53&3TbV<7q1O6y*4rTX)ha7VBx{@kO+k(?FU%W@zDQQyM#a8r3isqpp@;
zNOQ#lqNsMBq(L^3TD+Qs4%m~?pOeX3Y+^QS-ops>kMY(gznMke*VlO(5Oz{b1{-?$
zA{!I`m`z$e%AVOH3KEeD@N=IIoMS9tykZud{No9i!-C)o$DlKLy$<qxcfwA?6xfiK
z39o!}U^Kl5&bySs)3o!@8gU)W@81SK?&nv2I?vfgkeTtG$87P~#(e*Egc+G}osr_}
zW;BF;GiDp4N&QhBLSNXE%c%im^0&2QnrkW<2+AWK(G?{7GD|eJb&*A5Uy0O>Ni;-O
ziGJ5HqMHPHwEAWs757-p%_9=&!{P%pXnQd=Nvfo>PB-W{e<St%*GBstp3<8qdTFs?
zFMT-tg!*o4rWWnj=)H3#v}S1%4cp^IC09t$%Gt-rL}>@3{kxF$owp1gE1w6y+dbfc
zzd^-T6wmTYqeZ<e+Rv58&=7eXiIl_l%`$j*KpF#wBr)Qj1Ri(fdO?>&QFQ$z4BjS!
zbK8Y+V2d#7uNKBzr-d=ZPy|1J;P{sBCZV&U7*=i;$Gv|faMB4$R9!5Mnbur(iHsc9
zjmV?NLj`OuQNqM<6}&t?4I6f-;ev<ixaq3~9(bmS57M+y@v9cP$Z4bFM=ey@qJ{3&
z+}x^M1IGi@kyfjsO}7e8)G6Wf4GK6hCWn3zGH7>33Rk_6z!O|AXw_U1{BT&1WBT#o
z>c@ZKjl>w39~p&vDPO>+=OgSc9)xurZy_V`4YZWMf*0N|Va~EXxcc)2JpT6rZg1}c
z>18kBQOzs3v*is0<h_L=`9Vnh@BvQ9eTIOHuaNKg9W*_EfqCLMH2>to*{*`P?SwG)
zN^<u!K^$>xG8V6u#$`P+_;IE@UP)9ykt!wpb4vyDN>p)ht~%;I(7;FHS~w!4jmFj5
z_)}R2ADZZ3(2zF91#5HJ=33}KLlZU1)v=~S6}`FtWulc(`^8jTWF&{O^QYj2)soo7
z-EWCKlW@a-LReDGk1sxt!?kN;(B3%;hCyGTg82w`#RGtw`eD`GS8%?d4{|^E!mHcQ
zfhatOZSS5zp2c&J<a~&oIxirjp%1pTay_nD{V*mr0ADRWz}L!8Ai4P~OiKL@F5SQ2
z%F+pV_a8rA6%oRvnIdSTE`}1<Byj0mDGVN%f=4#W;hv$XDB-7se-Ef&e}yWNJas(k
ztBLiETG;VN8~47`!G#IB*mPGHBdc{$(nl8^QgpC)nKovB(ZqxL8hCw*8U|fe;k;~0
zcw+8UJR2d45woSy%#h>N{}aWBJ;J!_jsR*M`Ue^>f5Df8ZxEFF1zN^FK>F)<aM=3|
ze6xAUvAlaB;rKJK(dmIp#!unS^=?>ww;O&3J_V1^9%$&~?g93~Ii;6S*ZCUekG_T0
z)$hUG{u2}geTBI--yt*VH;j;f@W4<2|K1hCC2^DRm$^9le3^`~=cQ3KS{8T8PQ_*A
z9Q#361?TTj#pF}!SXZox!V9$VXqyhYjO$`}w;tMr>!V$=KC1ibqrp`@bh@RBla}fr
z|3xj_P^N+NebkUtsG$0NMf`nJ9?zx7;C>q^ROuGSifxlnQ(p*A4f5gl!+#*<!gqLW
zGz>8cA3<W*JJ5)J4UIi7;Lo#X(6Qzz!2T|1bb11Jws*pL+6mXQI$>YL6IfB+1uko!
zLT~9aXz_T#WrDqeK<tO*`v&1$<q&jD`wI4*-{EH4Z&)bEhY8mN&?{aTJ3~bAk)s4|
z(2>IBVjSE5og5y!qJTZClyMEeD)z;wW7;`QJX@uWRhx9t=c69poH8B7dZ(kOw*j^X
z8sMHE)A6mvbc_|$$K3V0cxk6LnsSUt=lyEfRjPsxyA-iQPaYpsOu>uFk~leD45xh*
z#+YaUT*yBG4T(P?ec4xtzVQ+K_q~JFZ(o7i!(RB|+XKs&cEKUJPIwyn7#z7=jj}WC
zV9x#eSv>*~=f^PlQ3v!te*z=nPa$RYbLcMX0~xMwX}x;@<i36c$E(Bey#6~}ocagW
z&gH`umV&6JFM?}~#PI6O$=K#CjUu74D8+e3<pPxOrqMLCf2oGcR%&AJEp4=D*TpHt
zT)wZO0Y=O;MA<PzjGbeI>?|XEd&3Z$8Vzvq(&_jrR}U+rba3{4O$>OghEnHM&}|lX
z-34;!*)5G5Iri~CBT<|hA%x?n_^`(CHwY~m<@$f0px9;rUVL~3CvAEmUG*ua4e5k}
z`;TBlUK>OSJcLE!t+2lG0X%s50IbSdL1gqH>}qI-%W@rXtLF)vmFt0=>%Fj}{uRtI
zdk38(A0S117`CnZ4nB&1VB2m!oV!mDgU*SdX`dK=Rgpx^&?%UgD~H*46tMJ_GIqRF
z#S=F)xEwTXG;h<z<X`$I-eG`pT;IGb&KU2RnqXh72@biN;9JhWJd|LByFMCV+ADqB
zuu2yvvb0bwR2`3T`}s2^MYQMkv<6jaJj*A+WzCCV&@%x%_+lI`h5rD?;|qvX4RTp$
zuR(cMFTCHtt=~Bvkkiu!5;Co@cccYub~eMm@_R56cMrDo-h)G3%^<h%K2)u31>^BH
zm@|pXDNF5wS(~20a8n<MaTx<%x$nW`-)CsL_6;ho{f6KjeE9jQARZH$g#FRt_}^nm
zeB>;Hs^{g=SW*dvf~O&WqB_1#(!x)3by11CmRb6S7_4B7PfwZP_XnoP$K~U-)S2PG
z9cH-xnkg<?Z-O;vj8J`<0S=wjL+uQ0R29=e!et5Vo34mc2W2sJpA=^4h+`xQqupkH
zoK*B1G%k%mnafA0T+$B_TAV*Sy&F189)s4}hw$!e3miAS2YqUH;Z)rn=oY^N`~Eh-
z-2Hc8OLZgIY-obk>Sj0{{{RA-+8{fv16;X1Z~44l7z%m~71f-_b^Rx(+A#`s?Y}_P
zh7To<3SzPPB%EHw?P>l}`01+*>ijnqt#p+!>$ocRPiUZ-r4Bwe(Z`Or1}Hqo7=ss@
zqOqtsUS=$C{$C4Jx3xso0Smk@VS!PlW;k)d1fSU&p(B}&K3zKaR7?{;4@^U!Bt?As
zSr$ckQfQMbhH@Q3Xu|N}K*diO_WA<hn+D*T!%MKZ@D%PpdkocgTj5+>GwgWZ2(ju7
z@I&S{^wk0UQ3qIT4AAr(pw9R<yqwYizmgk4Dd8UEPTU8%pKTDcv=c6p9vDpNgQ;e3
z;kVUC7}@_7?%0jNW`lo_Zp?98pNpUxH}f*z%z3E&WYI}q0bh<N<JJl_lyKI<`{#7g
z{uOr(4~_83DpNE&WsXl{EwQxO3W1vyX}z9-pAXHzZ|AH~$lMa`l+96bqX`x|8zO(6
z9`4?)g^irfZJWOmZd)XW*7K!s)L9J8X9?j%`2@!f`VQ`Mh9K<k8|Vvq4*qL8A<g?C
z82-Emnw#%{Sp!1it2%IPx&>MrZvu4HfZ5j?u&BNXnd-G*tIfie8wmfNH^9e~Ccty|
zVWD3;^e=h>2VXyfQ_ZiyjH_XKu78HRRo}t;=U)gX0;s4hf+o|%QBzL}GiS=;WM2ie
zTA+fvxms(9sW!(%*2B;93~@@T3C>t-ju(3@(dg9-6j)({&$;~a>341MT&69`oVP&_
zLu(xPXNgPg%u(j4F;0A)jz<sbpl7Q(?yFJ8n04}alB+i_?h`{x9U+XW83zllE~^y$
z0Jc+K!QnUEFlA3WTpMYIA=f+bV+%lK#w}3Yb_494u0hPht6(zyD$IAh3grUTAP{>E
za#C-Al+`V`u#N>Un|k2wxeKe^?}JoIJGVD>L0v#EbUb+j(ziZ<%-^q2bKn=3E5e6r
zO+vW*n<!4$Na7LhZ0+db@*GW6uyLI_;$dz4bXXrH78&8Ux2D)R)e=)*&cIO{TPzlt
ziN>z>DDv7KCpdq6zmh$woVG)u1RI=JX@xrG=GdidjQ4lyW6K&XoWq@m=K~c`eK*JM
zEf7bcdLc|woq%YaQHW*-K~TC6f{mVltxhXs3g3m%E`TLPH{ti3YfwLY8Mek&fz{&+
zFiG$N9Qbt}{LfzCSOQfbseTz8o38>-@&?5B-2y!agx?B{Fn@gud?)SDoYV#FGhRTu
z&s)%G9D?;l-(bz%zu;LSfP;TTuyT_G7X6dPqj~b^XQhl^8q{#1i#948(?^^8MtJrb
zw|C98;_7i5Z1bFn4-y^lukI|=*L1?DXeVqQo`p`;j`;ejJ(i8w;=0%wsOf2rfqRUw
z*<24VZ{+lgOO)}hh8%h{OvWo~MX<w`4{yhOgAWq#A#m9X=*#N>o9itwy`vt2M{mI-
zrE8qy>Jr2+I}cOiD<LkW92{1ifsNW{!0^NwXzVSA`OTG36LB86#y405T?Ht=0V1h&
z5Y%4}1?)XAk!yoo?tEJy^8&73dJADUKEZU2AJG1M0@}U_Vn(qj`Ye{j97m3quc?S1
zL{zcqwI)`c(!(7tMtJxPw`bK`VR0ho4{ozZ1&(tR+QLJ@0D?to6q7V5HqIgV@eB|1
z3})eY$4r#IVU3Y*&9OYj2sJnA;u3LnoExHubvwD7%6u_Qy(fUXL&xCeb*?_^?t{pl
z4w(708K%5L7#FXB6F!&0?$kLbkuQgB`^!K@xD?i}I}UX>kHO5oW3Z>?IE-y71+fQZ
zz`K72f>)dcw<8xpIpiw5J6Z#UD*)OrHp1ae55V#qr<q;w9QJMQhr~Zap!M!M>^A!c
zla>pieyA84u9ZTUJUP^OsDw3Q>gevEg9-r#SVBxOebf@4&$q>(AO~#ecEbD31m{n6
z!ONwtxPFNnE_8FlVxB8*_j1Nr%NZ;#bi^M&Y*8xH5|d)N^RJbw-)q%SaH#@13`(KY
zx=FZMky~pbBanBvAG##CT!OUw(5-bFYTsW6k9Qa0m|_J)Y&{8gCrUu(Xc27mC;&x{
zRsL~nKG?m=2ZgBx@PN~bjF%sUy3ylsvZoBL%;z*1i!Q+6w=1A2c@x}DA<V380t5dx
za9hv~aorr#{N8(T)gJ}R4}T#&RS=VIi(;p?6y7h9LlFyQBu(mQ7N(04PYuz~(i|K8
ztZ}WXJ(eaq;l&jc$yHah_V>U-buVm}^u|l#-q<$D3lERG<IImP7}mw${5A&^8L~zl
z4>L3nnvR`b8W=|vaq?7Y-2F)ef4&-rfTYi`;8!2mZ+Zl0<Qu{22iI@buY$DlGa$G7
zIMBjEko<NSg0>!lX$t?rp_&8mFW>;DjX3~Ml>P%F{X@_^kPBmTkHDSKVi^B*9E1%|
z!}-@|K~U#1NDSP7bQ6S2Uz^~gbvvy4_7uLGzJaJ0Lol2FCj>R|p}w;SULBM`xvMgm
zepC^I3e<3Cp$;B8Xox4*nxl@A4GQmYz+XEVd??_Ga>E|@db$t(*zb$|ll(Dpw?9Vo
z`Ju78FG|~b<6$FrbQ7gm-0y(@_0GV>N+vkY>fmpIX}DBI7L!%Pu-lst@8o=e_P9P+
zxTy`+T)7RG=2t`6s!I6${WzF?KLW2J4uPF!7Thz)fN6`<;N{g6_$QeH!9ghyur(FP
zvUJFvyblJVvOqbQ^F+Km40YVIP;>b>*u6gu7fzms(*COuaHba4e7OU+Z?wWEk#6|X
z`3fHD4uRqD4+vN0#}y+YI5a*PpL4nv%`9b{&DAksTl8_`pb1tx%|OQ}dz7_hF#Uup
z7N&aPS@gwSR&#N~^+1%e3BoFlc^`gm9&Szzz`64N7#Z%(Wgoku)p94C7tP(f5)+(5
zbntnCGMW`i<6o|ZJLx|LVZ(1>_4y9axZMDGfz@zyM>*KL9fj%(Iq>6RCS12mg%;BU
z7#rOVv4U~XJ#Q0yy0Q^QM>oOocX5E6&f|J{JRI^&=2-LTkQ1~Yc3wFMe~R+KcXA2n
z@SlRn9p|8K$5qG^tb?8MccK468?-#>0iV5ZLBDYr+%x`y$_gQ5?~0>nqzu+;E8#2&
z4SXY}kG~{M(M!-8f44hed?dwNdp$7B(ieAI1mM-E`M98P0nWM^h80J{G2bv8UwVXM
z$d~!JQ!4<IhJ3JSwJY)(9WmX^3L9Qb$9W2B=%pZw{9Fx5+QxvH(+^ap9i|1b@YCx8
zL`xipMJIEhPbLHE+!DYcFcvgiR>F|#BKTYq2GcS_VD-shNVpgRw|0d=Yu`fnesLMR
zZ(jq2hMS@J<Zh@hNQQuw8IXH38=ht7!N~ig(A#th5-l!3nC^AZK7+8CZGlZ|pFqHs
zSMWOL6NpIt28k>|R1Fu$w$(Bic~uF`xOdH!P17-BqdERou){lrJdAnmhU0f<qmN!7
zUV0dUIt3AUasDFA>0W{-ek?`dtfi=uvKS3oBe7uR0*s9gz?uPWPf#Z4VsC?8TsE&;
zlp6lwlfj}JLb$ewt2ah^Ai3iXG^bsHO%BJwK<FU2zfXp?TbsZwe-YT}1ww|hCz$IK
z$o%5~k7mz=h(~td?PCvNyJtbD0|n*z9$;|M52DP1VNPun9QI!g4!v=ZP?Z4h)~Ca-
z^9LX(CJ$~@m%z=8GqC+@6~_*~32U+&A-$s=mfY?IpNJ2z_tZ}aYZbtqYT_t!O9o$^
zP{!1|TKHm`5$@b?g(||1sI%M!mt^_ir=UO#JrIhUL>J+TearFq%T;L8&anxMV$h6T
zhu>q?ATe5j=RPgM{~j#B#IOEnljDjdd^53NzY!+pt76n1DO^~{hw5A3!Ap+^@Mdx~
zG)Wx?zb#pyRJjvQyDkEY3~wm0oXPPh4Pl*)2Ha^@gnphJJg||0n_)7rdbu2&o2m%Q
zW~hSgA#HdkV+5r+Rxm?!7N>V|hw<FGkZ>jfeiW>Nl-RBCup|kpllQ^t;X`0NR0NCT
zPr<F~i*PpoCit7*1<|C(AW--cN_KvR7Nc><4G_VcO;WgeQ~|s0X<+UL13czxg{#pK
zwOrkhzuXT$Gz6pbvMBVQvjQF5W3WeHGcF_BaO%w+SYWdg4R>$HQ=8&2LVP`D`A4Jf
z>Tpyq@yC^}6xZFc#FvM)@VdDSM)7kq%~!9X;3W61)?5Ld9Pek<>+O)eU_M;Rw}be3
z>Y%PG4(cl3S)%fS^>%G#ol6>66E|Qvgcdt3pn(lr)xzF0?_>w;U$J4fU)Y9s6D&_!
z6dbtR(SpcnkSMAThKnpgZ@m-TC*E-JRWO(=T@JsWZH5^0B+wV&GT=AnLj3*`u#KvK
zH$Sh!=0&%`to$M9_VmJu@gZ2OG7c@uldxB33g(~Y_RC@&j2$z@)2C+Qwk#J6%JRdQ
z9SiWY=2A>%*5R4`TadlJ2d~XY!m~$HP;WRDSNu!Gp2`$__A(K-TkXQ6`VFXbWeF~b
z4#W^{uW2wd!-ZQ^@a<y}R5&>R|Jv&zZ14m;UYr6uMT4QE#t5X&34_ABR(8YiQTCK;
zEPG};k9Db6Vm-F<v-280*7e*TsO#a4*5&ONW{Vdouszbo?DGa^w&F!N>+o(XTkg7#
zP2lpmmyA`gh7WGC0&^d*V~6_Ky0ar}Uzi}6eUt=iMP+#TO&9nJEx}rwfzFe@@Piit
zp;GH$hH^Yidbbyz?#_V?-%CI!{49KJxB-iuo8ZA)u6M@O@9EFEjCP$#xFAUe&+b#j
z19k>@dWSVmaNoW07C#LA5QhFMS7OP9IJCWzfRpml@W`D^9G}R>hZBczeL^ngc;(^)
z{X-c1Hw(4yrepK*cvRT87AvHJapMUdPFU*UlL`qGZ+i>7U9Q2r#!OI~<_8V0CxiW9
zB^#Qd!{*x-*M=ou<2C&;V`hi1V%`ewWg7c)nEQJQm}_2z%-dc0%s;I|jGaU#W740*
zv@VNdjB1xMsVf5+wdc;v=A|>3C3boY-)1GI&{UG?S|-SdSpVP^Ck*o57WDF(7kBbP
zZ$9KbOuNrhI^V(*P<p_Vz0$_hi+jQw41U2gT`<VAjsM2`xrU#SuN7m4o#YtcQ)iB<
z7%?>`?U*CC+?j>R!Hk~HDkk*KZl<_3gDKmP$829+#{AcJh1v7{4io;go3Xg{iLqHF
zK&;HANsONwxi@4&y17}DweMU~&T0LZH0~n*?(HKrVg+PnJ?GU^zDf8kTggh(H>Anx
zH?gb|qkd}?Y4<#RTD;DdI$iOgyX8V@(~7lp@K!wS_?bcH8syR)<40-DlrvQK-32N*
ze3f1~e1jfytDzFRu2GSJi?nO?Df*h^(+@+bbZF;t8n<#5)nH}l$d5MiEjgLEed8nD
z2ClrQvNP<93@vz|7Xkm>NQSFBa-ex?3GA&XgT|TVV3%J3`P(aCW=uI`4V(tyS*Kw4
z#gh=cwG^J-IKla@PC$@sDRldsgjA1HAU3%i8aO{*^1q8PX+|{!*x!Od*?M@%HbW2d
z7@q(49OSONgDs_BAvA0pR(%jc=_Cp4UoVTp70MW|r-kM126(^70;jE?i4GP7|K9Sz
zkgtARu2>K{p9;h5rYNrGwiI2<qOpo^CGM_Yft?SRW4!zl+<PE`W5LeH_&8t8vF6r#
zvmFX18RMag>ezBh2DelTVPL>8{M^wEZ~blqnR*^BO%y_|b|#dG?1C2E<si8-5d8MJ
z!thLcxT9hT>{DZi)i#9O(+03d#|RV`n1Zsr6-*e+gpybW%AR?^8?U)=yebUdh)2V<
z0Pbvbiw6ixgU`cRU?-jj6X!}`0q1$UQ*{ZRXx74WyC&E@{uo@gyae&`Pp~rQ5B!=Y
zjHY)dBiksC<+9w|phOSH!_838&JII4eHh;(PdvkEfX~fefXi#6P}nOP73$Vtbsx8H
zZ`_1&Bo=d3H{t1l7#umY3YQx!!SLG)FeBFwzrUyWO_Af~ChB4Ke+oEQJ_(cNjzIdY
zCty0Ymh&N&!SC1EusdQG<k&}oiiIo4{4@hwb9HcDD+3u+l*_XcfTN@1tg!K4wl8ji
z)zK1w<!K`D&VDlFNXfyYeib-yQU^kuOd+<+4y2ws!@8$_;C40)B*Rw1_K_{{8<HSf
zG83u?bD%Z+D3rx=83B%$!RKZj@cuQ!x+&dI|Klx)UjN2rzzJaXN^z8ulf$1{9G57Q
z`|K{}xO9d+YEc)g<2;#$`oY+JEDG=MS&1{^H(+1LR;;<T3ym+tqtEsPRMAY}v@?6K
z(|;SsHCm5BGnV5Fn+3Qr)Ek539MGiC01aIfaRP*Ku;@Ju6yF08jk9nm<3G6K5DULM
ze4yyAA;jI51kcjX?8>edmXFJ`X?j<}j_%1}4KRy+!R}|@pU-B0yg1Aj)t0bnk1JU9
z+t=7{q>(k5_Jo}<8DLi~`o&6zh`_V`Q($t)G&l_U@S?*C+{zeecJ+norZ5QeTn$e-
zo!N%ARG=Z*+%r)C9f!)eOv5V3QK|#yn=K#~)&rNhep7MXZ|L$AK?znGm$1s{<)Vv1
zj5+Q(=767l-7#7>08_a<KF@tCF|armfA;LgqR}MOJ)edh(HS^xXdnI&&&0#U890)W
zhCcTbaqY{kc+PGmdddakQVAE#eQ1i?m6Y&Bz5p7$dIl@qu7a!PK?r%e3_doRgMzpK
zv>v|BYChh=-quxSjqjA!4gUIGJKPdJOUAU;DSC*Xw_k{#cYo_$r}koJC->`zZ)I~#
zta;ZQ>hk`}tlRglwvO-eaNU3IvaDE%2^${n!OHJl%${}H%}(;)&))x7$hJvWvSv?f
zSoxJLY{r}CY)H%(R=AKK1g$1RSdJouJ=1~7+LkaUg#mtDf0(Qh1<6M?!u;?g&Ig(W
zfzAc+$N4m<thx&7tqow7(g`u#dCkZC0beUo95^6{&$t;t##s|w6ybn1*F7<+gnOpm
zEXQPzI2^ypc?U%@u%<p6<I4|Y+tNbpE<TDM#!GOIT?v*+7h!qyVRU!P!j)Y~*z$25
zUb79vyO(Y7O1>h>s&XDu!&~tAT{^t0wFR5yZS3K7%Iu08vAkKr(ae>?D@^(2erCGA
zAdyOzB4uV%Nq?jgu^U$+!uJ))hgDNaOQ<Z-7LX=3RT5;ROq8sa79o98gh)Vx0J$?u
zfJ{yoAfXopNm8va5v>*_LnV{R(gYb2y-1O$d8(6Hj6U%XFel%#?1`wb8@bmwmwXvq
zNNyy?kg@sk+&RSM{!Psx{0mD+)rCs(SosE7eBmw;NbDk>Cpd1s`X3USFo`-F$<mI!
zYIJI$A#Dw?<zAp&=+Vfz^ug+dRDb_k`g+?An!Y-j?k&uqVUpR@V|xxQ$jhUV(~i)x
z+xhfI$YCl1|IzI~GN`+1B5ioLjv8H`Po)ZG(Jk3p^h~h`?V10SY#%+taTB)_3r|xr
zx#9_PXxm&S-Q|~)`>me3@*^Sa`!k2w*XkG84gJ6hjWx4XN)Or74Xx}4#}+m<<qj(t
zSI62^SF<1Qoo5XcPP5mzwW_-52>a;uA@;+Z1FZ7HeJpRqUUr*yI@`~e&W;N0WpmB<
zvC4^A?BK*fR=FadeZRMaRX=^2jg+inH?`bk4~^bs3ky5hxxM}Du_xcz;dw$J&PqWM
zqXKSU^kL<DYY3k03eomKpwJl&avnQDJz_7A^Bi~IycC}Ossf(DZBXib47*eY;OUgV
zaCx~HN?)9c$%EP$DaB<PDiQSK-a`VnM&Yw<8?a%10?Iz!i+;ifady@be6Dm1SMbWv
z?BE%UDKE#Z`e!inPAPV*EW+yP2l0wm3Pu#J!J*3>4<XnPRfHzt6@&ZmfjI!JXD#89
z#%VTQGq-lJz&d7~@pI<e8F>=)*Mc1DbR{;g<`RwL3&^r%5#+LWB>6Ebf@uB?B|Tap
zWYP2>GG%oDSz<GX(|!Aq5EDP5c-)U<Sj{0{z6Ow^L-WaY({M7aZZWxbdKKv$-9)<1
z?j|NNDdehmCJ7xrL~K_Sk!d%}NX*Cu@<Z_^NwK+0^5%7r=3TFe@%697T!^3Exh6(M
zzsu6U)m$#hH+`C1Vo8HbXVLd>JgDcaK$^HKlGd+XNk81(L|;1YqI}mA=@5S^o#mZQ
zZ5QpOhgJ8|TVZLmUm}@i1n;Il3O7*w8H?$&>^Zc@-HA5;;uxLt<Y~><f24c3n=H@1
zLNa$ABDKzIh|WTL?z2jf*ULJYB$Xn@^<pHm+j$yu<!&d>drmHIX!%0kLOsIU5ah}m
zt6a)EmAapI&asN8zUdk7g0C>+bX%QKEw^XRUkl<UNgJ8|kaWiQP9C%E{Aos5?>ZyF
z++*G;K4YRDeqst6_{d^g2@)NkK(3o}eCYu*a_8VIBINHw&e?~NjT_gHPL(}Gx^gc$
zb~1<f?mtEzZ9PZKcibc{XPSwF+%xjv!4Pp6_($Sw#OY%5sT_Y>ljb;^(tDl`bak%>
z{o2Q|#<Z7G-xV9_G|PAz)s;$*4Q0|trUz-@+{1LQ_z`L^T|k$pAE7Fuhv~el*)+&(
zFI_on4?S>l1?}e;H)qqW>D9@~G;a70=?-fmIk)pkhhsRGAuU6mkCZWE+GD&cuZ`*g
zOHJ5#yEL{xzJe{=cbjcXZD*^NK4lklK4X8n_pqJsJK5mshwQUWO>8|2>~#4XEMIFC
zTWVFw?u{*DS6(~DUXm+jV~-TD%>hT)CvHdBMR5hJ@jwy#yWkkRCAW<2eOAe4Y`)BH
zUUQ4hdeF!!ls{rW%D!apYky&ne*4ERm?sAOm$<wK0}Uu@HHOu!Jv>zOg8rWipfzy~
zEQ*PTT?PA~sXGsfXc_0%x(uq{>p@^+C#3EigxSX9(B345b(}V3Wsf#$->|^g^$Zq%
z^ur|4g&30)gSNWyIJP*QV;*K>;(<KWdR~lMT2El!zcTC;KaG>~%P>3oI8KW!!1-C(
z810md)44bChx)TITG|+)Ukum0c?@<L`LHU<9cEs9%r?dK)~%l*!+di%&-_^Om-%Hn
zjR>*kWXT>Uva+Ast8KiA)jl7>-|9`AYduNxh#QwL<V<EvFvMb)6R9b7Bx)HB<kKPt
zj`Qb8-Wod*4JSfOces*`U%be}6LZMoqaj3NXc2MDTSF4gZY9oYN#w<u3_=7Bk!>@I
z$YPIEWSv(PS>eX%BR!f)`+{zAJ8ghCJ^jh?6oshqUrD-()2|*4)TUz|rZnf=Oe(*|
zl^QOdLp7F$)BhY+&^^aDQ3=o8v~ZB~ZhlDP_=g#^v^A3syX~h%=9!dl-CnxndopE8
zcF_*Ub=2J=oQ}$R(kRZyp1xU?I;|6-_vgMQYRhWKr4PA8x@Q$xw8)B7?hqjQ9J}XR
z;c8|udlHj*J%-2k=gh1#nd7zdT|?^r&Pb?hT9;Jk`*CgEzCFA;lf!>&lT$rv6|yEf
znTY&#T7Nm5m-+fA&sVpN_w5rOb7D-HIcztB38<URG*&KWlyl;lddn<E#k+_x{Zqjd
zFRNkpoNZ=8zCUA(SA1sL75O>;wFG(Uph&iz)gck4mL%#KLlU0&6G6I&BrvgL*Un_J
zxa9z`(&l_TdF6!9<vN*gY$Ah4xV(amLuBV#K00-S1dZ`hq**_8==nHH>R!Xp@=8DI
zIz5sW|5{7!p6{YjH&SW5ZWgt8pF{hv7SMQ$5<30Qak}K@2^ynwoU(t5sK3==dZas(
zYFj4I@BUoYd9D{-6=y_49VF-(^&Yak_c)hl9!c8P2$KTo6->y+)LI$)5LPbt20QuI
zC_BAX3LNCs;Gu**guFL`nraj13p9bUZAKtpHytF8=)%_(TEMqO9en>x14~U6a1rKu
z45$P?(aNw&U>Y#RY9LFrVC{$=ytrx1^@FV7&s7J`$L9jV@qRFUUMSG?XvjB@gI8S7
z#$PED6kp_m`GI3F&*3aIeZCGOHyh#Y#ZI{N>@8$_{)9+AVayPcM#GEBxM4yU_1;?G
zlt3r+GxNr^0l}EU^)9!SZopFK-FTAYJd|_X(GM50@ZGonu%YV^229IA(ftQ8RpJ2V
zXYR$5T8a2%WCOyjaJ;$L4IkV#!O(g+G}-+FMhEVK_?II1)364t*BC;p#Y^_DTml=*
z-(DwlEZ)h}zKfUVX~vkCgmcWAZOkd_WTrMJl_?xfW|9}gGu;a}F&F3lkD>Dn#Ig(H
zxMUYCl@+0FR#Mh;u1nc8M4Cn-6_SWTHrabiQi+C&Qi<oBqp6+tl7^P1>TTz}KltG5
z<M!O=T-X2q`}q>By$gu1h>%XIPjIgqad(y{UN=9B#@OBzJykv~I%L0HlyfIp<n8Dq
z>eR6iB|KLVRjm4ICAF%}s#PJ=s%s9hn)UIqWmUpx%hD@vP96Q#-1_Oy$TroJE^XR3
z;@kXOD%+Y{o7;MlZ?t6%e&06hzLYrV-3YPdXI(L<&JcT)*@@NbmWj{CZV>w%N)pdG
zlP9*)triD=JtThT%f<6+Zi(mjyb;ehDnUD&73mZ$4JtEApLSfZq7rKt(4SLR(=e}C
zYNU}x7fM&s{Ne-DQG(JXkvHif^SAWZnE_1g-Vk;nR*S{FF=m_W<}mpiOW4=;4eXpz
z3S0NRkQsUHVcxmNnNRa2*7f%(%PRQACf`utbLv#NO4nq5e~SfQA3c{pyRnk*aF68R
zo66rk$>*7is|2reJzrSXB-~?LdFzFCesbwKKF#hN5BtV>kK9SF6uqDK9VruXYDxUz
z%_ZFW#3Vi^>=PSmS0tQgWLR8!r&X5icM>kQ1g`t!LjCQ15FXYBkykq4o68MQ7Fe$@
zlJ7wBm^+XrWb^ZObi#idufyY@s}OzmGHls(3AT*81Yeh3f}lm0VY>QNIB@VfEK#}z
zSr+%;{nW>B{@pW}<^M+b?)(IW5kKJORtZ!aB8@UH<?+^UCG@sa#`kTi*emeTPJbVV
z^%YYvPR|&x=gq(ef=BR196@qxHdYqe;g~&+c<hZcI@{01k^AQ2k3TNhXX1=bE)JOF
zV1o~506I@JM;VLhIJZa--+Afc%nNGx?aweY)t5)lcnOrU`vfZjx?$n=8?bQ58R&g*
z98L{A2oIZgLB_=jkg_fUYo%N`sF4Xdi_>7?fmDc>Ooe3IR1o=XgJmx1Q1DS;k%)5P
zwoxJ6K3NL8Zf}SCF}onUp&nHI4#Sll$Dwfrg;`bS;idO=klb@0Ox8RH?fviJm;Vn)
zzBB+!%Vg20R1qcF2;_nX_p0w${C#!;E*xWkeeToo?_x7-9!yZ|HU|raJK*dIE*P|a
zK5o70iiU!JbMgu|yy&$MJG2+zfgLXR;E6qIe6hypuNJsQ&IG3|)5Eu#I{0Cm3W}~N
zVc&RZ{Ji-)Y>)1N;<8&HD|;5U^ftpGPr)s>PRR2QErzn$*&y{T749h|!kW)p;mXu4
z;JZHp%Jm~)MrtJ3<VC@g;c?(OJQ3PYrhw7EbkMn*10X5_HKPjXt=$RkyX#=&#KX{H
zbOII%%wUbX9WXxfCVZ@U3<Eu0Lv;QZ$Xw75-_A*+rq*C=-8URneN^$M=~$ejIT24t
z3r?PUCirQq1-3jweAQ`(Uc?12{at|7uiY{B!D4)KXenAaEW^v0OHpafV%&Pi4R!9%
z!+>}Pobe8EkhK{)9W%n_*zxG~L=F8%3`MqB8ZQZcPs8q~z-L^8_Q7Jv$Y}t2ry87k
z3*qa9bkOig5SSVfP;^${1CRFuOAT)@4O{__9xMmTX`b*~cwcot@q+=c1#YnAM!<7X
zFy~|fh}5>h<pJ5SKd2DwR#ZUPjT+Fpybu1)YXVE}Rxpq_2hXQnha0~hz>*~|VeZ^M
z2)O$XI=@S!%lX0Bb#nx^E32dHRvj!FFa;lHOvOMMGqhL)_+ptIp8Mj0oBmsf8G@hg
zPVNd+xbBU2F0aJpKEBu;yb@!(y>QpTW!U@B9nIqA;y$qruI#YD$z8@ca`t%4vKH7k
z6BW^G<^Zhr>xHRRx4|Wd3(W3A&~~s2Vgx4bam6G!k+cz3oLmXko86%z$_d_YoC6Z0
z0J;S(Uf(PcxSIiNe=!@h6&>JJ<~&$z;{j(iz2TnhTKM!e4EXvuXnrO<7q_yY+_ne~
zS#5`L;yvJfr2!^yI05qxwF_tQE6_dUJ`|Yuz|<jqpqJGT8}G?rn3)o8eLfOPu8hHz
zz2h-o-w=JHO;Jbi7hZd4i+y|N;?dvkxTtP9PKXkG0;1JuFJ6n!&jzB-q#z7r>yT~=
zz{l3UxZiL&uJl-lGvC{z?^G+S2{pzTIbD3=G7^tg$YOr#R~V!A5U9^-C~Z0j4tC`*
z!7L5x)x#k^XgQP_*h7utEHD=sk#%Anm~>qOdNNd@tx^U49aDwHg&M-MKNg}-Pk<F|
z2C(VM3^08xf+3IXq2csGu*mX)o#uh?;`(N=)=z@44;k=gMj-?$Y=_{mT4;?v4Ab>b
z!Rm~2Kx#T6D&h%D8TuXutp5#{9Hg<uQW4WLMxvXcCazMQh{=}5I6J`%&97PGrUA~V
z@W~C|tzCik7Jj&DTp-Tr*??LWo3QCcB(ARAjDP1wVn}NkMs)|{m^1zuC$N-HubYoS
zt=71+YdY?Nap)!7<G!X!q3PDQU{-krLf$vRpsVGe7nTh5ulztG%@z`J^ue@hG|)M+
z5H##R;`#6evHb5o`5JeN95{57<XpW&u30}OZs{*cu6ZBn_}5PcUy_CW0Yf4Af-0PP
zstf){457o!9LnQu1rPH=_!jL0pXY{vzET{FirEIqv3cOHT>(SZ?*WPM!?2yS!p#R4
zpl-n(Xgc@;g8%yh(^MpJWP<{hw2VNVS!3{z#zb7URABTxw7~xog=fQP0m?NlLx-Dw
zIAGy=T=XgeZ;4{DBt8LagOhNnRWc5|n1qVI67bvBSj?Zf2{+GPi!*zd;mi^z)aWon
zyWtb@v79nqupEHPmv_Ot%vPXv+rfTR0_+{?2BQ`9;J?Rm5N$5>yn`A@zfu;NU$Ta%
z9kC}H|C$gdJAEQkp-;RVOo+=%Bz87#L^5nGv3L+qJWl11mGxC*Z+rupXiSOE!RsX8
z&og2@`9IR3D-G<#5D0#*1~Z!{K#R?EsICJD|2`M8oju{h>0l_cii2Yp(ja<7A=Db~
z09(ENkfnA4LKM#lyr0`})~W}76#oZD3#D*Gj1tO9sp5li<8bqBBOEAgi3a8Nn6SYe
ztCy|BO7-=4)h`N<tWU)3oNd^3Hxq3Xa#8nnp1{M(#}(&u1zuJbwvcVutsjpyw?nWb
zW;yD}+9IEAh;d4za9QXdF#T~AG;i+)aZ?QJ8(;zby#t^#e>a&aG9=m4=80aPm?+M>
z_E?-Nt3?O=w4#Ya=Fyf}?zHcREA<U_q&pT{(V031)TURBzAKQW1(~nJBl@ZMtx=iy
z?!?t%pKeX@&D^H8N4m6i%2jo%W5dr`t)&{GG3jn1r|@J^*o<n?$tx|QvTe6TYa2g_
zwmZv^uye|!{i81F>6=d8{+>fV%<>>b57rVJg*YOUlR@UFmJ+RwJ%S-Z@N7;xODree
zB?o)olCujX;Jp1{conJ&s$V9;miIFuEluEG_brDziv+*g*Cg2YDGwAatKsCgL(pi&
zq0!_P*#8#T2Z#H?an@iwTc?Vl#*=XEwVAj!+8$SHFGc^7Ks>oK7T1NPVa>066pyUL
zKdW|QR``AlKX(}Qt~X)Q(4!cpb_9Ry-G`F<t8w;{0=#ILh~qE%;3%;<wyTdoP1pM{
zn&m;TtuAO>T0k7L#!`)sJ+wK@fbA$)!WN`&W=<DUS>vN@cI87pYwRdw3Zn&niccXM
zs8Yb<^7EMb$Xqu0RyMQwE-*tXvzYn4EOz-+HnVgUaumDr8EY<L={aTW!_+D^Y3D8`
z>aJ%-eTUhA2PfFca?VU=USj_pxy|TcAxCQeo=x!m#fBINnX-aGe2LH*ib+xD+7jb<
z*C~CzXU_~ibhn6~F0tdEmd@uod@)~9;?2+PUd`X{58`(ML;20U;e3L21Q+eu#9b7_
z_|e(x`5C(aZeZ-i>-F4tRIDApm}thwS54tp%+-1E*+G1>?N4^c;}N?%m$MDUb*wxr
zpVg^uWpN$L*}<E@K7N?Y)}I{Bez(grdA)ub6!DqnX1o#RA}?v>>sPez?mKGO^_7~W
z^-~{_3|o3ak)@9w#YQ=32}YI4tl`&mW*tsg(=jJ@^2}nE*x=8mCWN!YbqTC%bOv))
zEfgeY+nJX{9gFze$R-Ipm$W&T1g_0Jw&3YYc4FXvY@+NyZWcF)k6)|IkBG<c^o<kw
zip^8`ixvz1THRKdP0r_myO#20t5<QO<RG4ZES#_17tJrp#q;&T4k2%IBDeUMz?YAV
z=ig}*uih2POMm<G4N6P6132)=!LxYlAA!*-<k&Vw4d5xGx|zt2vg*w{*|p{r_NK~{
z%_=ozFD8s+Yc7AGq16}Y*V4W8QA7?^lG{rE(_2f2gAdL1^PyFL1885}Cc2_V;HvcH
z(9v%zX*2GpQRiFe$0e8OxR;M;zTZcx6Fh+J+&_rz4j;wt-xqeBuMJqSa9_=Ew`W7T
z7csA3e-^AB!5+mYu}qz8W*=M1e(l}GE(lrGj_s|iF8v}KpKzar<h@}FPX7}8Xfk}~
z!lAr(zZ##GKc3(GWz79<T5^j44*ZIjJ2#*{{J^sy{x^0r&(uobb&pf{zxH&#ttgB4
zsps&&+Bv*FCW{v<r}M7vBrfwNiko~}%W<6t@A`(k)I*QkE>-3&(Z8AflIv{7Vj(+f
zmc)KMv1eXR!&&2$4k{WNL)#N&=!<a%;ve6*)ykzgBDc=VqQ$BoMJfk>i)x&{i>7?<
z5q%nPNpxAWUUX<<f=F`7RMB~pqgJpu!Mu<hX)7EsP2A~`EH<BgL~L;Vk$B2*DY~px
zmEKP`qF?sf(4W@JX?V^?y69OlJ(8VIU-#~yFVz}ovZ#%ojk-by|LUR}pMR#A(*`oJ
zhY|~kQe$^cPGkX7P1(?aw#?1dgKe={%POT~nfsG;ws&3$Tl8+X;KONRr-z+k1Fqd>
zqOot-xH13O_do?+-ze-QpXqXy-&478-Qpt}=JVj8K3w#C1J4MK=aN^``05*Z{FPoA
zpPjga7l!WUJ974N$&Gb<$mv?X2x_=&XF0FP$>l@OCi18!Yxq%r2OgI<ktf`g=9WJ$
zvU}5VnC;H#>}+lWT|9G)SogLYIsWnrIq+dH%z8WtK1W(YysraXAGrY5-E$Ls%<f>)
z;s*0#Tp_1s9(eC`hFf<WAU53&&I+@*lvy?)+F}FMS8buy)&Wj`bcW5h7J$b;57@lP
z3l`W0z>LUHI6ZnRj3`TnF}<1KtWX53e>=F|-V1Ar8llBe44?Zif*HLBd-7hvx~<>g
z`y45>U#f^ze@5Z0@!B}?k{%9vWQs4q8td=7U~cpheDZY_YDk9Q4Ua9Tb1fccv?SxP
zliRSbEFGh!WT3lsI_8{7#q!;WxcO!jp7jaBO^cV~9dJM;YJz`~wD9(91>9oQ3)A2X
zr1(|Cc~KlpG_?m!O%=G>|Ad6nDl*Mw5lLApOYZfQi>~pJqJVogR_sG>%axF&t+n!}
zEPB7%T79kQwo3VCDXNx87s<Gu6ixB%6}g@oLVUMPA&&pq5Urm+B)?=Ux%wrGyp`Tg
z>Pim~sq?Mm#-S@@Zuk@O%(9Qfj23oSrxbx{tAecWc(_+K4I-Wa3|uxJa&&#b&~qci
zlq7<rXEv0LDu<u9YlZXKQCK8C4IhTx0yowJO%H!S^hp_1zAy|mD#oCZ(G>LEG85;m
zwZZnM3(=x^CC)jx0e@S@Vf>0zeDfy@Pu?y-sq#|1{a*zpmTkwUrrWWrpd3@Oi}2m}
zY_y0?Lh<Ddcp={dkFBu4wF@-ybH)I)9(@_?XO)4}G!K||LKYt0+(xR)=ZPjb{uW1_
zO{6R1kJEtWNA&yeZ`9y{q>vGoVcqU>Ol^-WQ_GcR3YC&<`09Vu+Wk8nlKhFvFMUhj
zX!g(!g{QRKri(uBeMDamdrSp60sTAT8TFBRMLnwD)7;PB=&1n`?8j$m_V>nMrgA`;
zl?n{5{`iS(!uDy*^RtMh7do@)LME|5KaiCy-O65$OJg-kg>1s#9ZXj0Ad8uKiuLWk
z$kv8GWKFg2*|<6hVQVpnU#%R)Pg5Q4Q)9$8%(UW*1DyE&;Y)d*^ct?+AHgNv6Zt!r
zbfH(0%ayf@`F-zl-ZFB#;9}g)^Y&Eo8FFP@cR&Ges7mKPqvE(y>T2Ey&fFy2h>vs{
z&NUA8vd@am?6Ba?YL1)ED$m}aYfew5^M}ZYzRs{FMLVm=J*ms2wXc_q-7Eo7wK6a%
zK_1Eko=<qT98@aG2re8+cyR6?xqsz5>9YGwO0#;2*3*}yEA%;`eosk#XEzDF^i*K3
zyda|d*W~ZU59INn|48Yoev)7#4Zi0GK?sh3QB)nCx{QZie~qBL+XB)DIl!$V55eiW
z8Wv683~rbLM{eapmtQ4(k*$aJtIZI4^(=f>y8~|LUqShcU*N=KQK@q{2G(h!J<-FS
zj9K`0i!F}&;D$#}`l3`#D6TvZCwNm+@uz(@hR7A7bVDf)eN};{e72**tx9Z?F30RU
zh1hDJh2xVF@!LUx!Q$hNUB+fuCejetlKrq$d;yA96@$etSNJTF65Ke6WY*}JBAFZs
z8r+pgzehFG`IjEhaVx&i@wNllzM0ajZH)|jQ6<fWMh;|SBPCe=kY7~hOCQ~=_KpU=
z>Y-n1y6OFdM^v)mJ{=49=mqC{RPxz<x>DgW<yW85nwhVu``k~od(1D|eP5Ez&Xs3V
zEQhh$H>&JQtuEV@WXM{I%-NNXc5L+iMJ(l+KVwaiEL$su(VMw!R9YpQv9O*+*&b&*
zBF-_L-*;Hni`Oi`<`4T+Bqw;rM{whtTKr_0KJQa8=NByP`MsV+{KiW^-Z~(hxAw*J
zw<FW|`U5$9NN^E%RVe2!`rG;HxGFB&Dm-ts<-AO%h}X`@;wJ|ua`hiUyrs{TFVivQ
z=Y_8F*0}F%a4uuks@crM(VEHhzoua6OuIETt;!TlNMl|Fv9P&JCO!T@#6Kk=;)^^e
ztyY8=W=fE)uL#E;D?ry3S%~$Of<Yf8z<b4S61D3aG5h|Bh%?`luC!iqUcQ$M8T*dR
zdia5~+kPRB0)LXH`z0VaO&V^v4+1^a;V|#9D)b-J0j)B9c-k-%o)4G<E_)Zi(`Ijw
zcG>{mEFL;fWx%bvVpv~R11Z&qApS-hbdf8N_wO<2YkdNrdjrtiYcQUx9gPJCb+J0o
z7%OjE;qB{A_}qLc8axZYpri=2f0=;$>(X%F#T-nND#Bl~WjH@c_+Hbm#H-?RG*>La
zyV7|$UU*MPwnXEtqE(pF=YW5@4bVAi7%CL?!dvg-klC0D-|v{irMJ(?XP<>6u7Ft0
zR2eShT9PR})=0Y|J1J~=MZ-RRq5pOKq^?JQ(J18~)PC3(8eaB}nyu@hN7aSzurYUO
z&xPwWX2m7isc@dg^_`~udhNm)jZ?kr?G)#prP1~sH2CaQntb^-edgaq<*Q%Qpp>ul
zzmWsj=$mpZA$1sAVy!OR0Vc3BBc`!8ZiL<Z?80(oJX!yd_3U+eyx=I!WWiTTm`TcR
zHhNtnGs)-d*sxAEs{c9D5B|>H&XnP5+lFxz`fwvEr||7=v-sF{TV8zLoj*78<BuPO
zaZ}?2u6ihqPdJdvB_0>^n)el4B54P|WwVo4bystT5mkKoiBkUMYA%n7OW{YY!}!ZZ
zi@AZnIe&6Uorm50#R_dXv-izp(Z%NMrFSQl@)<!xJWE8M*G7{UvhBph^efT3I|x=*
zj0Un#6HaOB2>UJ_SbI+!K4fXZygUsU=b{Q9lt;nj$s^!Z%TW0DK?z#B6=CXbMbNNU
zg7~{b;E#|Axqg2noL{O2Z(eADT-*ehHNy}l519$;)eu_!oIzT02~<n2hWRm@K<8{C
zNa<w3KHm}u5T3C`HyecCTVZ(dMW`hYpuwOQUI+e#1%eB$pno`aP1Z!sKa+9TT2n0a
znvEyL^YO$APkbsBh#i5OF-bEKe@ds}SEFq7Tau3hEsL--zZj**7US)v0!*KtgDE?<
zp~mPqVYaaj8)MzDFx&!1rD_ZACs};p`53AX3r_L5Nzi%P3Q}+UBI?pPL}%S2Q8j<l
zcFs$VS~q#ni0i2|Lcg5$+}cf-MbuN<<a)YmMlGG2R!tAiFQZSV=Ftxg+i1349R2oU
zJv9##ybTLn>9YnK>T<xG{$4UwaF9->&u{BelS(bxE<1*vR??u4_i9jsOPW-5qYiyj
zIgvU#7}5jLrnH0r{aocl$$`c6ZOm#KXB0^#HzZTdt{j>jUO`7JsG~o#n(1Pfb9B|w
zyY$Svw=`n71hc&`h=m_jVU7PyU~i9@viQOFLZ*KiJLeR_WG*DK&4NSub#oQlCu(48
z=TlZOxRdQJc**Le{<3#%3S3rBh2L8}fkW2}KGD}!=wo{DwWe#i$%Gi*VYrPq9?j$F
z_sh8v*~LA=_i^dJhj{(GCLa2>iRZ33!XK~L&wt$B$uIX6@{oziJiy7H%ajl<F-(Qq
z%RFa;o|UtJr_))JK??m;@JKY~@pUpz@O?QIxI%p2Mp%`b4Bl#4(3p}33cCy7q*fuE
zOD%vkbMxWPm0bAXoCB+c8F9377JS;B39%iSa4tVfaPsBABFKZ5>4k8kw*)o^R>Gi@
zJE8v8UI=V&fGx?*&_9;KkkShf`o0rfbi3e``CAZ8{|<waC50KeJf5x?hKE~J@wuT6
zzIrnS#rLM8-g8TV4P}EJm*%3zQV*0_<%OO{{PC+)5N^;6Ma8yo9J(t42bM?R+=y_z
zGIj&r&RvVL_kA!(*8@Y3IAYB`OWg3+0LwEq@x>P<3@{bmqis*&jq*7-a`*rgbrnJ9
zg?Kpd)f=u}m<^>JdXQJ50-xIDVQl?h^1J>6aoyD;&?laf&e_jMY0^v5_vJmYQ2Rkf
zJ4r%CmOO}$4}-p=YM>N3PGDdg3VUL604rO_lV1p)`@O+&>Uzi*vM}>XQ(@kkT*$sv
z1{ZsF!LPaokekv1(P8IcXu(Z^k^U6shkSy{F%p;%DTk7F!p<j24Sgn#!=bu{IBwM}
zymj3g8|+-LwaNo~YJBkI=ymw)_(oh~8incAarm1jpzhs7oY<O(GVTfZMmrW$A8f+Q
zAJ(CMg(vQ{n1_D0BHS=rU&v#rqV@t=41e+#hK}w4-@bZS{4xtn)~*G|R|Mj8HQ;H+
zU(&w)Dj7U)ADQZzLz;wL=rxfKk(YNT%Qw3cx4RxBeZMam*A_;O%On%aHF>0V)($ev
zvVm-L787;XYb3<_Dfu_%EAjt65VrU#0rgUa6Tinnn!{Asw?YI*<~oDcjAdY@w+_BL
zN5jKqsi0z$2daG)FmB^ssJ+(&FQ;)R&lC7|1E0W;!jCYsP6B(!DBwpuW$eGIiR1ex
zV|c?1EIW^Ar9T(fH7&&flUCz;yNxKzx1x4M5*lfyVb38U|Dv3Ots`=A>y{jh)y+cP
z-`jAxR3ct)-h|!jR-qG{htdK&{Wa*INO}<FeRvI`Krys#DuKD)Ye40`KG=WkBMM#H
zNm2GRGFp@^QW>P%Hh)^Wc<#Cf;-V+gbeigLs*t2ik9!TFD%n!BbVjeZW!ri2+d<Xh
zvx$M?kdjeixsKSjA9;<I(j)F#?e-)hr>EOQ&A~@RGvn`zYU?G4bFnhXJT!^q=va~O
zTCQZ{!__1=V=H-Rl0l~2FCj&)d&u4PCUU{$G})_qiv-PkNhYiRBF1-Q!J=XWq(_bg
zhfG5-`fddckLH59ui%7g3WvhK$zX4i4_YNVAP^d0t&<p<Z(f6vug~Da`S0L8O%`_q
zkH8UCW3h=DV$W48VUOv8zDqpOIb}W0h>pX1lhUv^BM(iMlwsqHYJ7BZ4{qI5kGuZt
z!@Sq^_~*kOY<OFReXk1f?38U-vosVl^%kJm!4QwbAi>w#2@CBDq19{_?A&{h%vY|q
z+FiMcF3){I%eSa8nZdJI+jVE=nk3{1j;~~4=logO{nhMPk3UmxT*ZvLeAv}jp6smg
zayCn9DVtQWn0b#~%y`pc_AhWL>t3;fX%zaf8)~cB(ceL=pKM|iKgY7h%w#6>EQ7uH
zm(M)jmJ9c$T`b)BAe(UOI2+`An%!)@#*z&mv!1=Z?3lrC*4-`5A01ZWuOwA?`Zb|L
zub|I$cA0XgIOMts&OAQWgFD--<gbeYx%K2t{K&zrT(T#Dhvg>oS5s1XZCWa~NlW2H
z!;<(s)i{2AK{$VUd^MlKJ@~k{HoWTGG`{>lP2R2|%mx!avbPT}vP}c)*|UUnR^#f$
zI)q&74L1d5JLop`cC4W-x|?X)I}18hZ3I2>?X$Rk${q38wO7S<U3bLu=e!f2?~|sE
z=TxbBt1<mF!I2J2@uSHkp8i;uODCFDQ_o$8X~|(uUkBf$v%mDvu*E;A{u3FtXZJ86
zk2r>Pn@wgrW}31V-8q7LW+5{)^<~RT!x%Z7C@^!f*z?<^Y{{wJY-Ys~Hf9@TE`?Xw
zs2g2u@Z3*qK;{7cpkfeLT0DyDiM9E*a|WEQH0QlhcKqlkHx30W`OJwST+KU1=+`9i
zs>*bJbW;wWZC=3bb{6sL0ma<RqljzF&gWWcS={qwGT&OWnY-Am;_D)vxtz{)Ze*&;
z!?B-r`(9;(wRf_^9U-hWWHS4sf1fTM6F@VS)5NQ!LPQta$B<+Ce#FK(gES~qkV$)X
zkpo9-NlEb@;;?=v`C?c>f=dcWfOQ55-kU(i%nl>>U;C1foo+<sur1jL=0r8nh)g9D
zh<U4!>wBU?YIi7;q%XtBm1{$Z#gt)0^Ve`P+-wxdd#*-&evT!*F_TDg<W$n|)q*%n
z+LIT@+{wL3e&o>RO~m+R5?Q<_hdAU{kOdd&$U^_)WO&YblDOtRnWFukh&B#@-4TjV
za!L(ky(fbx%?wn%oWMfS3ye>Pf%Vc9Se{t`X(MYud1NEx?mrEdzwW>Yop)fha{xA2
zD4|QQI@&i+!HX5<I6Th@@5ijbe=|eSfyU$PEg5)Lu?Qt6RpA-mTH*ijAWFM8V*2l+
z__gIII!``=n`HN)gzFCc=#+=4v2iHrzYOW_>6o`?5DxUX2oVm6@E+yBnLH77orn--
zf6}b~rWJF~U(FV`C9wZqWU>(Z0`~QKF%#L8GLd5``|MZ3a9}Z;ys3~i^yjn48+q*W
z&^-3~el9x=dCbWzpJ{6qvX^zmY~uGarmR%Oq(9fN$3j=$dBP#~F{YU<IUr{Ln$9!%
zk{fKeFgxd8UojV<ga7%d1mEzVEKdp<!lyZm=9QbYxL5B){<g@N-|{l!A_Hqa_mLxi
zB=9x^XD#FT2`l-tH-hheYA`>m9?EH87%%=1#v{Tv^6$^rb4jDM{GRtpURb`EcaCu3
zwn7%yf8aD;A@s|uCMff}`T}>>^*wuc`vzO#d4lE4*~vhh$u67@XObQstXN9K4n$98
zEz4Bdp6QBgLV*-}FzO$53;03(mVc-6j=yNgJPB6$QHpKvRA5}-?VdQV%4&D%FcUX@
zw(q(rQypc^iYLrv>2k~1h;sofGBASON={@?A7rqFw2(2YDxn)!$Bvscv2~}#?DXhM
z%*o;&8*ciNNhy6}LwzNAdxHWWw|WF0oua{W2Tb7Xq7gT^V#Yh(&*noE=JNU9Jvd45
z;opMS^7750{F%pQUUX_JSJR8<Pd>zR!?bvTiyO;T9&YC27jNLW+@F7%u!N6McI1V{
zW?b5M60cc3isv#ZetG397Hn~z+3v1q$}%}@u<3d>;kDqbk{Hi^O_3M4_&ro=>uLJm
zpndelGQkHbWcp8Zr_#GRsWizxoqE>fQm87UE@yYs*po-7+;m3w{k=w~{nt$=$bF%A
zM-F7qrYbVmuF=eVyspr>F=DGuS+I$Q4(w#S2aCGm&#I?Hu-{9P*xmLlmfKarEL&^X
zgmn!p^H&SA*?fUHe7nQcqh7Lq%HLW4Dk;A7sv_?>BjoZ0R)n|6fa?mKz;P>uuKa@e
zoY^hsc}fBNozF(@^Erk)9!})PcBk^b9YRN9T_#_5CzA&p%iu=uw(-a7lla}DXx?TO
z#1-t8@#%JUe9VWbe9w1vPBdirKj~-ed{7H}3&m{9kU$nR$b=OqOEDX-7JA`vI8Bco
zP8$zpiw_%aYuo)~yVZrq6Gd;U7l?LWau>bLwiHQR7%UoLQfd`9CbT7^<X~IniD_c*
zrD@_D`&z`B_uh%?t`DIzBPUbKHM42pi4{~nC6d1Un@0DHFQtBWYN>@$Gkw3{9KE^n
zF1@ww4c+qo56$S3V^JfN*-gW-tjx)PwWL@uy?#fgaAz57HVkILqvP4E{tVXfyo8N=
zxSJ{bX=GI^+S$udH`!284-0$sgJ}&H{1S1)`7Nf&6>sSAZF|l5nW;iAX@Ljd|G=N$
z%-+O%6%z%fS~}mFkjF!Jm+)_um0WRHHP^1)$;}mZ^2dL-a~IE2zRpmXAyy{yEfS$z
ze8incZ<)#8SE}&t%CD@}^b|W;o5FOYjM?Hvl+N1nT)h0r4bj+h>EuG|WzypOm#k_U
z0+z4Uz&TkPPSuP9FcLhOpLOA9mNx84(FC(O>HsP#kc%VX&Bx&|+HM%^@EHmc3x`6*
z<Y5Afb2w~1G!n{!RiVH{6AlV)J;g6mV9MWVpfgR#WACs9$%U>^<mCk=_kzIjRt(f1
zO9hwZd64_A0&a%y1x>l5aIuMlV%l}^D(QyWcb{RDqa;>44o3E46nZVt!RgM1X#T()
ze+W7DBs(DkbY~^%xP@Tl#uzN_O~R?$(ouOq4kk$!pq57wULIVGy>AQAq$3Yk7iVJr
zie!w;i^M;~7gwb@p|9&SyppMcO|$>O4Dl7%d!rh@T?zrUfm7hM!$WfaOAwi|q(qdv
zVV+pyp)y_Hyo{!MrqHiHi)egw6?KZ*NkisW(*t8F>EIhhv}sB<?GxrYTgPsp+4lqJ
zQ`5z?u+*Nmf;oM)#DG@*(WWn_tI**ChSC;Kc{+2p6wR%Xpo6>rh+{>+#p@jZh%bNc
z7e5#=kY<L;(iUY!y5sK%s&Aq}r=1>83r-r-4O6V>Dg!5aylW|K@Cu|4?!;2d6X|sQ
zp<){IeiseNZ=@#e?ex>`TXgm6*L0=DKRQf*5L*|c!m_4MWGx$KvL1g2_S$R(J2GY?
zJFqL6DgDT275jFwV-Jt8u?J7H0KCh3Ti!7;Mv}LEP~sVnHMs95J$`0_C4U+2!atqy
z;sLKi`Ifnf{1IgF4e}-Ym}@mZ(OAbz4;<o4jveJnR>yf$Ycn5op^;l^@8_NucW|qr
zd3=&`EZ-}5Hw?xa@ja7dxKw`|J2N+s{rCETAizG_I#l8iDYw*w?qWCCemNS>?8pRD
ztzzMMtN{IiJ7BYFHN@WA0pv^-c-w4;f`b*%WKj+wT4fL!T?#5erLaz_3^eDL!{a5D
zuzu1GsAM&8Yy4g~yz~Ir`ZR*K#Yrf5%fLLO16;3k!W_xRkgfC@=70JE&lX6a?J!x4
zn5u+f`$uAN_!yK-9FNMU4e-KPQ#4Ev;ji<yXntibE?B(?-TYVJy&_*+CJsQyy@7a4
zbv+h7Uyl(FgK_bTb*S~(AJ@xzqZNAKgUiln+6x%^ZaOOIO~4s4D){K3Jl4wmfY!Xn
zu<Z63XfSMmO%KaJ>rX1k7;S*r!~^EMM_ByI7`9y1g>ox3@Vqtx*6R#~O^=jdz=0u<
z>@XZoM2v#qff}HFS_kZkr$G9u>F`ZM$gm%?gO!sOf_j7({Mi!-YumO!_=_ZP6!vG1
zQAI-ju?j9Ot%HSajgWA)4dP2WpmyvX_!ROS!m>WYd`k&DrXq*qmJCJNA1XNSoi?^i
z(nG}x6LioM;rkXlbRV|>-G$ky@r9MBoWB<B7i~a;Yn#xxc?%vmAB|PQ&x4dLIQw-t
zuI>rOwmd(4qrMbVgwJE8qzJ=>jMtp@F?hg25yuVx1us+|!f`_}Sf1YnI>y4^UvoW#
zU3UUg2ScITI|?3Z3<Ue3Z^(%!H_5P?v&7G<jqEfL^5!0=h=mFxjZe>$rL#Io;fXGi
zul$~<4*yHW3fZOI4MSl;yBg$e9S_aI=jkM41zTSVjOG%-A*SaKea+$UY+@qF%Vt7u
zvfw~JyaVEk_Q5G^hE?tD0_XcWlx^sO&ZB~x>g!+V5VD(|Cx)Ves~Udt9EaAOhG<k~
zhNsHrVBV2=`1$BkydUHzpk3DE*e{VdG&c?}K2O98HYvDhTPk`dq~gL6DX1_p5%-41
zV8`JN80_SWH|kw+!UDkS5A-qewF({@EsYKDpM&2|3ddx2KtNVJl$Oi`xk_CKee#za
zvuY;_V+u&InJ0N$F_}Eel_qmub&0x9c8K;aIWLM(za_GH`A+0kBukRkX^>IlO-Q@W
zT=M4Q8e&qFNK$+A$&y<&L~3ypk&8V;N|xLqtNy(vN7Me0g~G1LBX|Uq{?vq>wt8?T
zXci0+GGX>d-Jy4|Kj=0_fY(aF!QGStfnDVg@U0e%1|5Zs)7oKu%ng|P_bDvoU*N^s
zf#|$b5l<(n;DF)d&<c#Pq+f8&&2+@Wr#(<N%nygjZ^Wspap-QBBKR#b&^aj=;}i=~
zN3R%FD~j>w_#zxpn}-vXGBH%hbBW)F<LkFx7_-w($b}kU_O}t(`}`~X*n9>Y-jqPD
zvNuT9s)1S>B`Z@biGG%Z=+m7h@$P>!sC8~6UHL1Y?jE(14qRPF-)`PVWoqhZ*3Vtk
zZ}oPnx2K4P*kn<5GKqQ~j->lp0QK%)LfiK_(~EC`ZoOkleIpI&*v^SG@`(<uE!CoP
zzK)@nUXP(IL0U91T8CN<n@ElI45-}|6YBrZinesv(_bQY+7RkX*KgfO%UA-vdM%S0
zNS0EYklj?xw2}I6<g~}Blh(a@L4!B`q{&0&*oy*X7Q9l2^=_ZalGa(XUtiqVW#2W-
zqc@fXd1W&FLFKG&lyG+3d6HFLyu=PPJz<ZdzA@8k89pp)1UJpn=2vzZ^RJhH@B6lZ
z50G5N>%^P*X5s$0EH0Zr>?q+5;njS#N*%v9tAY0|XyjF0O+q%Mk<TeO$d8!q;d?^L
z`0Ijn{y8C(_ZK?zai-&WWW*mv1)j-NktefCzDB!eJGE)usUm|EhCz1VY_K>K09{G(
zP%<wa*x?-D@%d1;r2wW+FMxyz`QX|t_!o?Fp!jkY_?*gw?PD?_ez1_YF3$w>+gU))
z<v>eVKK$+}0wYb~`+V#UfX}-jHh(`{m2H9$w^Oh)>I|%jy9yqD_d#91M{tyXhA7W|
zkbNeD-CLD#L+mJwc%X@@i4$>FfH5B1Xoli6Yc${Hgv)H*FsX1k7Fw>ti<0Yb>E00R
zd>w}KQzJ0JJ`xT7Y{IU%jp%$K2-_a`;fs6A@c3_Gu9a_%Z+=e~`d#Bt`nNI;Tqljc
z54;0U?d$O4*fEGXza6r&w!uEjKsf!%8KPfI1BZuWz{6V+9REsyUg#&%VbMb}wmcz6
z{JKb)(^K*?{}u6U`9vOi{2|K+NyE1XgW+GoNZ9s86E^Ekh66)PU|b6UkIBxEy?O~O
zN>~kY>6>7meIkV1$$+4rh2Yp$1qz1saNgr6th8k?QThtFS3Q7CwKt#^_XCEk5!~{!
zig;ON6mBWf!egP6aa#3s43HIJPP#od3|xpeXRp9L!&hUJVF;SIMB)(5SX?+E0k^j&
zqMB6_I)^7>uv<KO?To@LPd1==t{?sw;DMW~ZSlr?6MPb>gLR!laG2b07^!d%wg(-D
z+pG-YTDHQ5yYqqEoeZuK^6(|2i*)!OBlDq{*zSrYFHicAU7_>I>m~>CY?l*h+2=-#
zHu#cTk2aBL=~NOpzK}f0s3EoTjbvn8JE`uvN!rK0Bzn$2$@b$i@MzvJcoVGw)$=C7
z!iOf1I>Q=HhtG#K$GjkKNC<4Y9tW3ar$fw!LO8Kz2S{4&htI!{!~N#7uq5Udw5@mn
zrmMceyUPP{Z@ePzyfzwVHtOI`Ekmr3HOGewY%%naE9z|V68t*ru>3~^#%_<t@AWD8
z=1n?2)Xv6RBXjX!Rxa8s%|ZQTnfN0y75%&8Fh_p_8g{I}Zjn9ib)AY{w^i|Po+M^Q
z-2;>R4e(Vt4gLvkfW6N~!v5ixNN8gOk!|Y}$(6QQnVQWJdpdQ9ukV(jqvos8S=l;t
z@iT4e8l*;RzbMjImwt=AZr>5BTyGG|s3(g{LuZI*ZsTo}Iu^8kd6#B&dge$`Ouet@
zG$|F0QxJ>(TmM|NYPl52P#aCmHK!20Vk^?nw16b+^CyoEN0ZC_X~cR>G4VaRiyW40
zBwZ1l=$m(vme3dEt;-Mc{I3j{-Wv{<omy~G!4R}|3Eeq57rIk@Kykt*_~DxZQ?KPi
zNpLkRU2zC1j#KC<y8!`Xd*G4ZFZjjeaPRDqxRB}KF4L)KRwZQHpU+2|mp=G$!$z#G
zN<i(<46N!az~E~Yg5#(LBZt+YQSp9Uf93!N%-oMXdulQLQx%#S6k_Os6!d);gh5eG
z__bmpuIw3zo6=9ixV9w7ey$2NuT~Qk%|qe~jR)v|t#WLF;Lf_RM!2g*tzhA74SRht
zgsFes$Pzun*npp*EH5d9?Jo~vJDb+BRQ&*9uIVr20{vKuqaVu<@@;S_fZ1*cWXVAr
zSn<UO_AD=!iTsn;Q=Z0pyK~s*3&l(`u8J8e?q%K)hneNM7UnnL9Ghv}$=sGaVS^Li
zvz-V3Fr#1@ZY3=+2S%&#+)8b}WSbuUbzuf~wgrB)+mVkCap!KQy}0v^H9Uuga)rBF
zxO_((zvi6CKVC}W(pt&9Y<v>m*AdUZNJn$+rVaeVl~p`$zdO$o&k=f+)A-^>ExzT{
zU>?5qD+@Nf!A8X&W>#+n?m)x_W~e`hDLos*&gA}~v8Owz$&?!E7nwv4obsfShO;U8
zG@Y)0Wk@$#Oruj5TT;(nC#v4<MOQ6}pnq;}qZ;}pR4<{HZaLLVCv}{sN_F??2hVr(
z%b$K~;jF;^3c150JI1mD9r|odiy2#<X2)*LTf`nt@@HeGMzEmMN$lqCY&OZIjM-k<
z&1_ANFw-(IYnHjf)@BQ?L(zM7OuL_Hj+N)5=Z@gZRW$kih{=45*9>0Yg1ma&Twd?6
zjQeW^aNqhcUf~$W&#`2FGd7)jIA!y_FLHU8Qa=A(kjGCs=I~UF3?8eH%&mR4aQjSw
z_c6njYin8XL~UKJqdbV8ih9M4W}ae`mKLxY6)%?ZX)KH0e~%_UiKl~WK8a7PGiw`B
zk|}bv9YEHOpG*qZBFUZQLOdPk5#=uq#8{UQoejpsPgje`S_~!~zdwl<OLT}{EZHgg
zVHz&7o-;+{7kkDkaNb)><@VuiiMP+Um9&i&A1zrX?u<$o?{BIVhqbng=RE5Ymu~zm
zPWB#58?x2u!(cr++`y8K{_a9={qd$9A>q{SOfqd0=h4;Ys_6DV2k5foR(db>3VmVN
zO&8P)xz-|SHuc*uw!T1%9m+Fg-O7Zy+bm!|=lZcgpD3nqFO5l?m9Tf8_OKYuW|sK$
zJe#ugA(O28#GC~-CM_Szug%xwchwAd$2UuEeanTvFZbfJHA4Brv;@9zXePhwUBoLU
z3446WT5c41fNzjH!gm-paqEyqZW7eMH9pt!M#)Ov^e&5k-@HYbFS_%8sfPS(ku1NP
zc819uh-HRXq}dOTUh%mZtH?3&A7ZXy0{`rn3wy=Q(CC^1wOcab_0t>>+2w(iLmvDW
zkPGFCIpDu73;a|v;qm))uro-92cHGkuW-h2bk7j7@LBL6HV51r^C6(V7#;^yfbQ37
zD4e?&N~0Q}X=^iVSw<mnWCt8SbQ7NFKLN+=UTC=a1B_w@;;erP*!^la`b|^EBb~Zf
zdr}`)-V|IrG6dI6x5r1*7huYRC20J`2j|aTgYz=hW9haqOcmY-29=xfyya#rJ-i9`
z3h%}%=htFTtPi5;B78Po$cEfB$M`rs%-W}p*V_l-hgCn|=)MQ=u~#hIclW@hzHG>}
z*#tiBZm|FDOgM9FEJ)8)f(%Ou7_RV+7%%A}5OasjtiDNP2Hqws`tOsMvd_qdz3)h5
z>`$VhD+R7A2g3w`b#c&83zqMj3<i%);K?Nb$5<D*Ja8Fw1grs5771!ON#Nm}1<|{T
z;b?U=gwNj(v#8+w{n-xJ<*!5d@5iv`j&P>g`3FWGlEK*IA=r0K1&^ob;HK^RXeK!m
zy(<xmoSd=q<s#f=;e(eH*J0x5Ff3GvMsSG7fBO^hzGN~^nV5|9XCemq$79jeEvTv#
zg7Rlp;$_E$7_MrKp{I;+)Hw|dx+0IQO&{Poy#yuU`=QD$8v<R{z;6XB@H{&j+->_v
zJ91JryMnm>h#{Y5EF#)%mSnk=5%JrtM@n^#$wp%f@-p6u)D7|`aX%u+VAnLV;bIAy
zV6m5+NIOmp>MxLQB@c+6=X;`*A_3bTDS$p72{ty`urb;I!lTWhf4M!B%=Cb`iL0T?
zAyUXoCc~L|IiRFa4u7}rfm0fd;8!AyTs5zPT>E24$@u^i93=40Yk533Q5kIqYT?6;
zQ}Dw&Q?$HejS~y!;istO!u)>?rgw*<^RqadGCu{+4amT;E!k*po`*AS^09JH9-0Yx
z57qnW7+s!(<$9YjO5Ptwgw7ZCv1a&Zs5Zv@ki+Kr&mk(~IEc$~V5Zq($Umb7G3Tz3
zzn4OY(unIK@25jsFG=nemya7nH6o|d%FXulmd!$XDc6m<*UqKS*UzS&F(!275MA1(
zJ(O0y`yq}rzadWlTQ4>~lPKPE%}Tu1>qFbsQS;jDt?Vrq-6*iq=29Z>Emoqq+%S={
zO_8Ya*CA0y<3-VslRcuX2PMd>FG|Gs-WYN%$$;dH6Oj)u=8?>AE6Lq$5ya_j3L)|Z
z#2>23)*}tXDqc*E-MvQIx}TAim%o#Pt7U-=Q-%prI<U`YD)`Q~hIc>RAU8vJR@LL6
ztt1mpdXxihu7^kJEg<iG8MgX&!{~YcL5;dB_NgnQ@l+jL<vA6Ds}LV_yW(IOKRosz
z0{zmGQBNlaLpGG+G|inTZmmPS(STQPH)6`1qxf=9BdXLK#HQhUaP+V;)c>1?>-$2`
z^r$0#)X>FevOi$M;07p4a)&pAD9P2yYP*+lfJ#jm%^EuG+3AoVCfuQ!kwGTY_RM34
z<OLV-%R)9fvyiRZSinO6=CRK3T=r^I4%1M~W|uc-v8M1W_F;H7+u@nRY*yy63*!m}
zw_yo;^0R_H8?lpZ_*2Vrn-4O3ffKZEe;Ygc?i|w^B)q@nAF*q%UNPCdUzw540PeU#
zj?a@A%3Y*X_*}2Cym6rLeta^Omp(M-vmegpfv23gpQ}5+yM6^Xe7uU6d9LH)qaj?h
zBaF*+Z{o{H1b4^{=k~`o@P)hA@%}Zw{L7Rje3`Bb*WFF{RDq>3^0GGn;y9dVe39ff
z_ODs5$7S{*w~;-vuV4#~q_Dc<g12|86B`{hjin3R!qGdFSa**k+q~)<P1EV60Y)$B
znF~GCc=j8rI_MMKw)-cQxh=_ZdgR%-o?)z@O^um*k7Md*4O#yiGuCj!hGC*BOOp3y
zfuX@{`_&j0t&+-A@8&R5!!qVQc^C7)b&w6UILR&toMkovo$Q5mH=8E$k*V(a$D+yv
z=BUsq5Jjm9Y<*q+_M<+ZHfARO6M_8J6DR&bZxK(L;>}B|*Kjw-P(I_)X1+@@j$4~0
z@Uv?Yxo$`zZ#PQdTMc4)J4SGyra+$B;>Ej!41J{}@V(}S{Q3)Z9+D+5oIyS^rLrqb
zc0mJst|;(W4MSP<P&>B1UWeVSlVanh+@~v!H&MT~68i3MB0ZWNOfUcSrW0IN(2>lC
z&Up|>>sG{2Q{6P$y|Rd^Xzrr_sW#FB2JKV=Zc;^?9%^s-gRUJdBkb*lGV^+MX0u`<
z8+&#-8}khWe$_l?FYn3Z#|E=AzOk(9$2Mm9HJ_bn+RpOq>e)kjjMeC$X4czpuoqfS
znV5ZM`DX_3NkTsP+q{un<%<@7p{2*m1$O(-o7Vi$_<5WP?pnE?)q+!Vqrkb2<!|eg
zc)eU2zqTQhzuTA1?W1#e+p%mu(j=3+zD(smZV3I9DPer#bsuhO;KEn^Hs!Aejup;c
z@&YHWht0opin$dPvASRW?8I?BHmR?VUVX5G#&(<0vVa=#SXsH&LyF5qwK1nekw@N&
znz@kK$dDw;SAU8k+@FiG51kRY*;k7m4G9s|UQ`nqKS{RA%|FySZ^z>{V>zL>KRHKS
z=GG$ST0P?9k7Vfu<1zGV<22frZBOrh^Q2$ZH_`1HLiX)U0ev`bC++b(MC*&hG~mNk
z`Y^Yf#_at<zZgleqVOS1gQ_#_$&*>Oz+Jum$d2`|Tf+X;2C|C}<JdI6Otwb0jCnn*
zWdnX6W1Vs5n0x9yW;p2`i)@qNZ4QI^3#!7ibtZ7VU=x0#csBo)w2<44SjFGUhw~%C
zE+;r7gI`%!z!eUcb44KsSx~r#ORuaGd;)d6v!#}69o@-;PnGd;pR;-IzIblgwTgFK
zpUpdJwRuflKSLYJY9=SKmjPPLJT#qp9}rt@PD&;N@4g_P(nmqy6Jt;uKO2;O&jq#H
z?l9)tVz{t&2~><)3>^*b(0#@gVlK^tI&~M=_tO!e%mHR;JHVC(2gqII1mekap~*z>
z*Ts9lbu~}Ol=BDfwjN{@wt$XWB1C*jgZ!L4xYJ(-0gk(1$mW9}QG5al_Md?#r*DAC
z>nE^r>_;#O?T5$f<<PBZ7@Ehbqur(PI5yoFC)8QsBn3MhmFbG7`&ZyIy)~F{X(O6v
z$KcVyiRho4f}a1jp`vX%_8O(*+0tz|X<ahf?}|g;U18`r%MTYvF2uI~2&M|XcGX3r
zaBa>2eEUB`=N-<~7sv6o6qS;8DVo~RP`>x`)}TQ<8l=)5zcjSVh$va5G$f@-r4WVh
zJ;&ZFqZEql5h6`~*YkM%=Xvfu=YGyPpYwjd-g7@v#II25*Xt@dz28gQugs!oqn>nV
zZ<^qI+Edt=Ybeav&{?>feoq$jS&)6`RHAo4x+|=B<ELj}Q>5paq#-L@x?2{K;Ui1p
zDYCxwPd4DyKw)I!4B^(x<-&ZEeZtm{=Y@;kt_V@q_XQ7!V8LG}Rw(t)6}q=n2=kZz
z5js^W(4qXkwC2)qdOTE%hCZB4!xtD(qpAtLoxO{kvrbZg?FDK%;Yp_3@6aUE0Ghh<
z4Gn*kNSYHrkcMInJuq&g*z=0Gb5|8fC#6h6<w@vjtc&W=hPZfi9dvtd$D+`~c;C|&
zMpYN^eWoimzL0!^UA@s<brVj?x3O327W((`#xFlloU6Qurrx&bn7s#=<5wWKn-0DP
z3`DW>FH%1vjoE`M)Y5GQg`*2CcXSdAvrfuXpJvO)Ufe6ToqQ;IZ%z^oYd(w0Tfd1a
z@jt|0*+0dh?LWjNHcg`4s#<Y}P$q_#6^i>=o;YMuruft<S=8roq60;X!xWhqGEo!{
zgo$F!OD;BziW3w2B#Q=inIb#)UVJI}Fg7o(6IaaoEfyT@!Yr5)vsF}MSzFYZ$tNxL
z*mXAR<gtitYg@~1Ht%3duAX3rI$U52rh2l9{dZVUdH@UA^_H2eN@g$oKC;Jq>m{FK
zN8V+l67Mor%7}{7<nyLY=VqITTTWTda~#b1CanX!==~Xq!{^95e7VfKoV&_RM&0Dw
z4&C8<`uXwu&;0nBAHH1W?Ja(@{3_q<d5O<yKgZ|K*v`M^8}P2<$Mc^%dhinmKCsLI
z_t=It7HnX1cV_wSq-ZlTII{N;K{(SVQ1HE4Ce%48P)JCBdgV8q)X!>ArSWL$)1XOq
z12jlwy*mAwFpLgX52DOsHFDHfr9JcdQebT#TDGST>BRS;CZ)clVW>(E&J7^vw?inu
zU7e<zjHOjclWD)jEOHnJdN^en^>H+%4YD1QU;QW@?r%?{3|%N@(>0pE)sNQidPZ~4
zy(PV{L|UpY^_r3@DN_EMW_DG8lc@?UO^3p~eJnKewUMt3%w1%Rz?h8~wsJQXJhg^K
zlr0`UyMUw`7tEUJf$s)a;qu7~!J(2y+3yNk?cC71#u>LIhR%lj2Vkgbin*5rylxqd
zjQL7<`>>o`<YDxq%7yZxjp%w?Pg*kLiICtkRAA?4>)BpQl8+6ZEiUsoBL26;RlK?Q
zrg-U>uNannSG?Hoj;IyuEv7_xh<*>9#eY3*#nF!siY_-di+Nj?i%G^LT3(+n7H=9O
z1_ccfUwQWxFZAsxny7UZ+r2x8w}<?Zvy4{xs+p~FN8MlYeyRWDy$^O0TW2eX5l|Mt
zxT=bQ<A#Y#hKv>4t*47?R|ujBGZIt3nu+H>|0m|x*^0wET^1)8+z|H^JQTlw3Kg>s
zOIqc`_hL-<I#D&GBMa``iv_(N!s1gVu$f2avQC9YY|ON+EaLugb|KV>C0bl#nTH-Q
zd!^S*X+<KNVDX7f*xbZk&FsoOR`=ya?&`eYyOa}hf_SUyDn9kGCAaHzoF~*e@a8XW
z{OgSy-1p5r&a<BKmliL%!~0Nf`6P_{ta!~$_P*r0$&Y!a?QLGt<ibB)KFVi{M*Q|M
zO}^ivl^Gj6Wy`M^vLjn>i?QB`GB=L`q2Tcp(i^vxeq6Gr*8T3JQRq!;i+!kU-Cerg
z(T~KFcd4`BOY$HevK)GwoFZ@1{-_%yxrWGf(+xVNd6Q=Q-=eEuedtNeU5bnHr_Sb2
zC@TFqy;ljPmT{4EqJJ#ezfYyuLwPjs>u36?RZEHnKgr3v6LhQ;(ekJdDzpb;ld{D5
z&=?0F%c&@OI~yl@09Ml%W0KNJxa~EC^@z=Q(`1R*XS<O(a6h8k4#0ite`s~ukEsp2
zF>kXa7L{xQyRjNMZwxWYX&#D9B-Y3Ik?6O-AGYq3dh!9^=yXXg)z(E(qWWWMetwm<
z2HBI|l0Br`ypmQ9l~J$#lS$oi6!q;qm@e6<(&)P?)T5^gT|C^E%DwuN-R!~iP)nVD
z8;+&SLsQ87%518-rBA=?jmXV#JsqmqPUj9CCg<-q6#mqSMwPo$&*wL2N6-7@uJDYy
z1%^@YPBCQGH-m0`{YV98tEgjHEB(3D85S3NBBH7vy5AoPyMWQC{5~14cg~jjnZR?4
zr5JE~4g3z6q5bZ5tZCVY*W(W3a?3Fkshxt&veWpp`4rxaKaMu9L#TVa2W>VMm}jyE
z3TGB!yU8r9H64pzKh)s<s2ff`uA}tl8D!WHOgFP`Qj6<(`gd+CZHoXId5)nZ|32jQ
zyG?MISti)GW(x;}1mUYX7ouZDL3@9+5MiAt<d|d$FMU4=JDRJ6#6G`-fnU1NnD5Hu
z6f%JJj2uPAb0^W7?sLe^b0M9sSVb2GY$0ErgLFX4hE$TAsH)wAUVpkpSN1(5dE`r4
zQV>P4S;@qnzbE}u6{IM%(%SaUm|LiXYctg_t*biBWfSl%OB(~92r!bkKbpR4v3t7(
zE=2Buo%s=ne@?@CxE%(To=2UJBV?Kvpti~p>b=fmwUG@%wXCtY<8I*4di-uNz`&t8
z5)Wb|p2sTVWK%O;k!4b!IZ|KfkQ>$5@1iPq32xG=LWvP2LhAA7!nltPg7RNu!Kqn8
z@cgDAG?q5Vt~iv-tV?QT#%ntWwJyDd^dF-HA#jec`}Zp0#l{0daJYlez5S{%s=;3v
zej!xomJ~1O#k?1^FV+ZKX15D(ekf9YxhlolsFQ!eMCp8~OJ!3G$=bq%mPPEOnVV0L
z@k~bwvU8{P4{woK@FP--4594oXxgNhO<NC^ke^yJRoi#QlLyKeZ#58~OEi$xI0c<t
z=OOIQV%T;t0qiY-N-KnYK8y2?4tUgd5qUS<a8~sS22b#U(M>OmoN^VPV%%|X=_Q!u
z+9PDdQG~c`hF!P;f}EtR=vwJ)?a@lbaS1dp=oY<Qxr^4U)F8)YS%R6ih48+@QTBV0
znY`x;RdG#;iRdxPUi=#DA-3$gA^uIdB`Qt2DOUM=iP?kPME!*q#G=Dz#O3eyiZ*LE
zh|MP!i+69$5zT*25M^P*q?)TDKKEA;{X_rBud95MS1l}+2h1#xYsbHnZ_dw<FIb)~
zw^7TGPaK>rcVCt-fBc|G?x;~I_e=gRS9;e${88Fnyr<b$G<h&o)H^v&yd0q;raCMT
z`~6-cTF7>aKhK;JtDBuf&rM!pt?GTzpI(UvyTyn{J#xiYD%Ij#^A7Alxe^;2J(xN6
zpTIVDpUbw#8!?x2Tbc5%6KwG&XGuGGo&Ah`$Se}WSa*kHwsb@>>lV?%+UF_o)JRoc
zyi<dl&Y!{KmM-AFR_pkWtGoGp8%YD#=)@y6ukcsOKK$R}hrE2tbFP#U!dHC@=NYr#
z^6*jNJm2UQU*+|fw+z3<Q@32?{;~ty*JlAY{WplOPyWoh47$SpWDjP6Tv6PTW-m+#
z>Pz)DE2;Zp8w#2#^+!W*Q(*^x>OJ5woyvbgF~6VCZnY;g&+ieb|9n7xTm2=E!hKSb
z-J`QDex$tm9u3@apO(*gKtJC-qOZCEq;2(rN{@%o*wt_8MF&ozZ6ayqWzyV#AIPeu
zlyoBN$<pXIS+4Aih!2W5|E3QtD+gff#u3=nWh{8sWcWRsiSRQrRE=7M2`7y3QmRST
z9vd*`$7cAfwnXW%op?QCH_n*t#)+JrsF&tx?e@(uaWF-8+j1=Lum}?qbn*T6Wb}PE
zQp)C5#l#>5+^=boIJ$*2s3D#jM!%w`Cw%Fzf*bkg+t91GyQz1Fb(A(|5gDuL(pcFv
z8ogeN2KF6CPJ_mh_1JM__ICo^-ZF&_jMt%Cljl+G>IHN`s^hxPO(-^btHd!mK*?#R
z$otcIvRUpzX$!6ri@r_UG9S>~qc5l}{0+^%A4_$*nKat*6YX`bq8SFQbfvfx9$WW-
zw`E_fxi=VlMr%mCDJ>{PY2(iWDQEiBBJ>=*92eJ`K;@q~-hJ4PgrL0$TyPK>rczB0
zIf6}Nk6_egD{RW%hwH7|@vNU2maJKYLw^^d%a+-2ER|TnHG{F@OHVvl{F~0H6;Yp%
z7&?0~fVkwpDa)}V_ex9pw0<!ieLI~#K36Bzw7yc7dUtA$>qsLn{t=?j{1jG({1Q%k
zv<bNeor(K)r!5-2Y3&O&8Z>?cshu51;rFJKn};4bELlvN*=wn8>NZL^WJPmV+mPo0
zC;Fl4LBW!?>c&JVb36DsO=)~X{@>!L&zo!-v+gsAY4tQxvyFO9Qo!HP-cWx$5aa%g
z#KwDCh`6MK!M*}!MlD9Id^MgNF~h8fJ21H4e+W8kjrpfe<Hmj)+`Vs$gVNsfrmqdA
zS)Il}g`==m-HWsobF4qJ0<oTi;Z9S~Rx%7<$0=b;U<)}t%b}kgUz6{cn<U?5OSSJz
zD93099cxo1@yAc0?QFI%_F$+`;d58`@2jWKZN??xzNeF5G5(_9HP=m8u611qvGx<9
zL!SxJ*CT{GpOb|ZJ3b00dPzA1sqKPVh9Vtaq)I_+M$oseT4cR@78!ahplpv-<Zru$
zbWT{&y2ZAXd*mWH7)h+zk~?Ik|CE|ezot%pG4w7ni}n|OrgG&*l4*6sTeBYcI7}5T
zJBMTP^zr!bKW+S0Bq)Df3gtW#On<fw_7ncY#!e@(r`{GXwH(p?yfYT?OK_0<Hx46R
zu%pEp#|JrLili%2FFS;g&s(5(%NTDX=D_K<1}69Ih5xoR($V}x3ORV6JTq+Rp06QI
zAF4))Y5Br*sV6&k@Ek!^Aw|}nIzndQKPPgcVPn+N!0GausQL1Idu{oI6-x5A+wMi}
z8rL!M*otd<RVPQw#FcikH@3kt^XM{}r-hQxFma49%z%Uy;s#;CtE0m4`%Z#o-Zeq{
z@&jQ_d5F-VbDS_lAx{`Ns8Z0``bQX{&|SJK?ngCaM$ie(iL_>}E)Bl8m>i~UAm=sv
zXo`{z3E3BEfyXuKy!k$LSoM-7*fQGEIg6s}ODN3b2jxEMiYJYIASeyPqn7bl_h1%O
zdMtvK!deVDY>70LBcNnkbYAL=&&%8~#PJ$*@85#Q5??fo^uvX`yEr=L4w|dIv1OzO
zG#VW-bp27-Twjk%F>_%(WEdn7HFfM7E3xogsbPUYM?(sPp<hM{>KbR{cYj)mC!a@&
zc6S;?*G)ZG?`>*q{lj7Glm1B7ec~t<G-)JT@l9g>{~W^RN`A)Y$NIA(`@ZaKk3Ot)
zYA^P-uQJ;ZtHfTdQD$Eymgx1lDy-K%Rn|>$5IZO_Lp!u+GXIMcS&6<5Q=cHPPsU4F
zK3~VCU9)7Tz8q!+W_HZSSJJb`da*?x?=qL>Ko+C^mIWM4WOthLC7x&{^Ot<IEu$28
z!zC5oet#&>-ad{GkJskkUV=v}E$7FdZ{oCN4-YOr#^3I?;}(0IxIFYSpP=Z;=MMMc
zBVSzOTTfr(Pgh^%Woqu+HQJe1SlRN=QtnSiq6ts_AmcyEG`V6)5B|%nlo|I8VGsW}
zu|d8I*~x^?Ec~0d*f-{v+^NP}@5l5`f_3&9q1)RF!XB+#!tQ4eg~vYvgcY`d!fux*
z!ru}8LO@?1p|ZD^Fy)SmP^WobNGLrfl%CopoZh-Y@JcfhYK!!R&Jr7X$&Bg3`7;xR
zi+1CL)4F4X^S4J!cVc6N$FlK){^3c&zIii*KDTv+F5dHnZMw$72agRx?aN)lg5cxA
zpY;wx^<Fn&hyP9C;gCndrn(T}$Lv_4Vq~uHE2Bbq_}^b)-VH?xAFD=T9W^Q2a0a!F
zTtJbb>qvj<UP}3FL-EF!DevD+`mg6x+I8(M*~wGs@%_(KVEKbq^;W>y=6;w_EuBNY
zPsIyG;NY-T$nRwdwE$~ee|H|%MiL9->~%!+x(h$ANBDl@87jSB;!W>hSUJCh|BFD0
z(dCcb{@yrV=8O^6R){QLiX(NJkiYm#w@(Jsf}L9^=4-x?xv-PWEB%W2RMPk^HP>Ud
zu3MRR&1tsV@B(WIabXUgZtUQ7cXob*JNvWNjm@gL%=~w_u<e~MF~53ewt0y&Yn<ZD
ze!X;Ny^1cfzLFQiV7(g~6Y44H*{`uc@fNc^>c@Wke#G2XzhF&vVJzE4%2_><%v5B#
zY+B7{cKl2o+t>V?IX>*dPmmISps&hv{D<-l8%Og^>n8JlwzGIoPW)8MVlMtz#Rp&8
z$UpgP<7(M^c!#EgeEM67QBZN551Mz9r`Vq01|HTtbgdOH%G}NUhgtAL2iNco{SA1*
z-r15iVjOobAIMkNcjt3i6SL6DWrv@=VauQ2WkClnGSvYG*xPPKY~YD$EPlWcw&AEE
zE1B|BJkYsJ%sB8~%yrHZpV(xGGp}cf?i2FG#-L&`IJ{a6E^ielp6tvb@_MqNt*Y#D
z=5Xe0KAwH^(`E*Di4EFj#LQbauul7Tv!i*(nTG#)wq@UCmY#8q@q)W7??wQ7J}8Xc
z*b&3DT{2na)grdsS$Z%3{bR+N3S7BoA3lD^Ac@1P!N07V#NE?oah%ZS9p)JEE~O^C
zVg6Qra`-+TtaX%Y4L!q$q}lSQG3R;1e-6CF)`6ds7})*YZ28dAlicgee_VC#RzC99
zD*km6xZ|zK{J^Opyn1VQZW~&|{yj@%uG=0npH-Jwl-)Mwa%mRRz1^23KCKju&BDcD
zy|0K`c?U#ST|;qC>=e;uq=uLxsEY|JM~j^^riw)eA>Bc&6BDN&5Xb#@UOf59Q&gIL
zPn^H&m6&f4BgU)eirzsLVww6M@oKCB+ac98?V@4qM&)>B5I&QAv0T7DDXeCDBe$|0
zzK7ZE3W=K)>cSM3UT34j?=i1lFIeQ}NcJ!?nc3+Su*Ub*Y*g@HwyIo#pH%HDWnd5G
zR~C=ssxoa(fl~kOm=XVSYy;nNVkbAAbA*4LZo^~K9k^HcMLs&%l^;Lr!DBvpat}`l
zR$%SUA0BYwhmSk*{Tt8lnNEASb^o<|MWP<hJ2jd=R95D0*Q%Lrd=xtzdX=4<Xu%dZ
ztFxhtaz!(b<Knem@8k#Tqvwq{5h6=$R1+Q#CE-7l^@7^R?ZQCoUBV=nZ9?>r^+H<w
z5@B}X93gJ!SixtysxT_QgW%@;Q5NCxTIMq0iY#p4Hkt7)4cXU#482c#WO@fj1V+?0
zm_@l8rboqRsLJ*JkUU__KKbw6m*gE{?#ky{yp}iFr^+>~O6A}7{*kMg^$_c_28bhc
z$B5&jbi|tTi^LIfQ?bx{pLkW%R*da@S$yC9rg&}bV^O7dxY)})Nj&u5Co$|uqc~$#
z7iKg}g-K7re&tMNwGs-*vfpYpwf`<=XmE}-9CTq1-EXp@QBRri;s};DM#{}DDq){I
zf3b{dio85jjZfS>ntz|F!~I4t;*+#YdCu^?yi4L)ZnoQ*f402BQ@i`{pr!{rD&QIK
z6Bx`pZw=#1WZ~R5Hk6<CeZemWKj4cdd-D`26Q#P}Zr*z?@vm3a_!Ny#%>SM{(^DAC
z_UQB%i;Djf-W&Iz@AD0)`QH)BYP?8uCS4<QV;_nA=tmcN-KUgU_sPp#;(7eIOY=AQ
zQf7t^opZTOrs21!_24b4OSwfs?{CxCdv~aMiXY9o;7`E;kEzA?8P#qNrlIX`NR(pg
z5?>@yVq!K$gngnnQorGH-|sZ#csr@A?uHGEmC@T<>bvU<g{qn+O2$pZ-}Tx!>pl-V
zo-e>k_hmSwyapw$8(=nU3tSC%pk99u4D$DZ<?M%P-~F&Vv<DZ<w_}6VW@wBzf!{16
zguDmLO?0qHaU6;k4@UiAC9Hq@j|%RU(y$RJ5?eEb=FhxK-R8K`bi*@bU$~Vj+m}(N
z9dqen*d!X`r9tC;B$kEMKynOMqqI>2D16r-N?A6HjBbshhVkQRPX1I%m%NSvQ|6Ot
zlo5@Zw4Sz}-A<_?hp23?4YmBdKx4bRlZu}=DW&>Roksx4|Af-czMR$+rBbJzAL!hx
za!QMBCa;W+(!N^}KhssP++;8!Cu=~{U?PrP*1?ZT8SHfpF=*3D*r{*8f2$?E|J&U-
zqIwV~rM|)U>&LN6b`p<2o<QirV^VMLkkrT7i^%LPDB8Ua-xo++UapJjOSIs;Y6!HK
z^~5XvR(iMT1JUUyQt0hZK^rgA-tLEKiP}oZ52Q`*uEXfm+@93I{<omKuv|D0`(9xE
zvxH4s(uIB%8A5S;j?j5{p)fkNLWmA%7H+@kNO>)abiB1MMZ6kHvqp`j9*d@vnuf%!
zjb1{AQ%&i}=^fM@ew4cZv!kY`m#D4rDxEC4LtW22q2&dV52+I;gHGvWQ~Ht4yr`xR
z`+n0tx2_nwwHL+)41n>rk@$XA3njHWSnfp-O_!p3?{zrqDD|c6_aK5D#+PrW@W;#+
zRBjK=?GAYQ$^nhf&f_E5AvgXs9?Uz04Fk8M_T^d_pId;1O4CvGZMgJ)dg8{wCc1DX
zonF0sM)AMgD9m~<`Hhp2X43#_``I99JIjTirq>1Yu}6esaZ7~zf2Ihodq)aMEklKK
zqPif=&=SnsbcKaV%Z0l(JA{j-Ho|E)SK)QIkMJ$*nQ-&0Tu4;R6gF6t2sR!qLevN8
z{>Q2}ExbFJ5>AYvVf|*1gFTVzS7S*}Yfb?r2k5bxbpHG6Oit!k$@!`;eV6iW5FJjz
zpW-REcOJdpQ%(`TTj`c%S3KU|8+ii;V~Y7`=tvsREv|YvwQLEJmzrSyM(O-N*9vE(
z{DN^;&!aiS8HFvE@lVYI$KQLxvfUF8H+o=v`ek?<JHh6gbRHBX|3vl%ES31*-gmUn
z)TbYs+giwBK_VHb-XY}!2Psc?G97wQBm8W-Ec9O0MHpAIN^eg7O?lhJ-r}RNdSdsM
z^`e*IZn04LfOsx;k9ht37O{)M8Zq$2d~vt;G%@woa8Y}6Pw`7wgZyQBiu~H)$MV%x
zj&f@sV|f?je)0u&VNrkI4UbCv(s$mFd1iV&^y2kS^i!6Nd8{L|Fg26STVW@&X!DXq
zH$RbuS;=JsLf*+j{#40YVmk<<Rw@g(;sy&=2IGacf3t=4{gw#XA)5r7epbTHSN4Ki
zqnj{mr;l)PW}rZhkwSOdbm8yX5@Fz+pF+{J?&N*3KY1_KBt0)}dUSme{W!aU&Yd|(
z&6elsdWHuHcka@TrXY!}6isU3d1Pr-OQFL%;nuL;_=sWXdSxP(spw(rD`T89+XA2R
zBRF>cJPrl9VtTMQ)U@xRJ@zTymA=Ha_SaCidxN5)aJ+vIf(zb(SRHv6H?~V2y8UNi
zIBFekwrHWlZ>di73!$zS>u7a+pm09pg?#VCLNVsLHY@(In~l6AW%kaw#!k%gWuLG6
zvlPQeEKlVzTYBvgQ(ga%t>^x1?1=kP2Cg5Q=y#W;^}oyf$J}LsWp|nT=6kHKk3UoQ
zm$H422e3`Uf>`mDP-a#b!CZewvy_@-))w@RSuZYRcY-U}o!TZ={H=}6{@9gk-BRL(
zLH&4#ena@4&{6!7(*$0Bd^(pO(B)=E`dsV#Vt#7QN?zP7WmC17@h&~K@!Wqqc;TJh
z{HA;lzpt~0x0UbYOJlZi^As~)tFn$aNIDv?c5uIuGr70bc;2{RC~s}-#j}$;@|)AE
znfa`2_M~eh8(#W|&HL@eI+{7M4JwD&fSir&ddy-r!ecJ0{W_I(w;a!MLo}I%-6-aN
zb`-1Irpa7d#<C6_CNX9zu@nn+S^bgu%&?~sTXofh35wg;f?fZyvf$H9>x2WdQoGCo
zXL+%xQXe*F)FU?HPY`pmj$lT&<JrT**(|tIG5c;*%lu7#Gds5~JaV}bkK3urD>8=i
ztka`;llf#GzhxGmv6uLt4U74j9;<l9(hdAx%@%$tXcuqWbbxn#b%+OA9p!4<thu=E
zDE~L%5TBK~k1txbo$rj?$d{~L!8>i4&%f&G@QB4@c*kFAy!xdA*Lm8=Htx-3rCJf}
z`_lXDnSv{GY_?{v7Md`}oO$f~%CT(edNo#mLXk}pI<TO9&7xL$ooKIFE6zMtFLqtn
zEDlimCwfio!UneXVEW;G*@cZmm}aIX(@~nj-u2XF%Q6?Ty_;9D-002hw88;4Oz#XU
zf9uGix4N;SyWZ@S%{`{6{ETg170!-rjAez>vsn3;BBpw<j%_XZ%clBt<L<h>`JV*?
zxoyZu9&=iY_i)kSYmx<SK5z+7GhV|l=$Z3F0Xuo*x`Vu_<rwd&dzPo~vgLPQ+wqGf
zcHAbzmXFRo%inA~#y2e7&zoW`_|=K4xM~%6#L21r``+Pvih&Z(7~I1AHoaprx`nXv
z>(|*ccAD+&xRSlD&|=#rNxt@&O0l_ti{3B&#jsR2v8<n+$O?{#i$ebsty>R?ht<!B
z$E+R2geUG|4|ZGpzT>GV+ww;2cs@y-7*Ze_e61DdDRy8xG<vX-L{)aBtE5-1)MDoL
zvzcY}LRLCs4bwQjjZMos%+^1%V+B%nh_3E6)>Gm=j4TXftIxh+>Z%EB-m_fRvaXCB
z82W={bn3!;UQ*`a4+iiEqfxx&_$2;EZ4Q6hdm;D5N*-)u#(kxJcH69@yuGIlcdb6p
zA9Ql&Ekj&***}THdf1hRuei)(tS|DC57L=M@f?4l{U5h@x{04uFywAsrgMuOL-@(M
zF1*mShzSa>+3`UhY}9QFmY+P9IXQh3BiG**l{_IH>mp^^&Al5n%fG8^+J1?JsT3-^
zVVo%IKQu|EbuU8JVs>9<Kfzvh!e3W*>wLN%y+1JThrf5!-QMHn!X$h7_1u^8{2ia=
zn~x}n3gU3lZOTkBsoF@qG<1h({o}0YX5u1>?1s1@?~&O0=C!!cEnb{@I$u<MQYHSS
zf8x*CitOHNRrY7bNM@HdnU(qJu?g8mEZcT7`<Zu$P5fui{4cq&q)E4#+n*=wwelOb
z=}Z!{*!Gc~&97&!tsQx`nKGa3KZvKLjN!f++I;N2`MhYtYCd}YHs1W|Fb`F;;{{_b
za;szy&O*F-r^|Qv?MCUo_sjzxp7nqq@VU?D2HxSnzg^>M&MsW$d5&jo+RAlb>T}J8
zk-U#}M_$wz%f!M<>_M05tbId>sBU{+esaYmq0@{|L1*7T;hy0jn$)C44)bQy#7hG0
zR-I3c#q+6Ol0JR5Bbwo(N7c@{RPHxR@^b5t+S(a(a_Mwx8b6)1y3L@S4cesDGK>6&
z&!f1bkUY4C^f6;O#g>_p&Wdd`Zs>n>-1IcHU38$N;LFtM<u&?t`7U{`3!r@i!e~li
z3>k-H(ZR=`=~YYv6?W^0`3rmC+)!0qaT<;ew&QWJRT~+3gxC&77;dy4A1-W1w}V#D
z3_FciHukvv{Q?Y5UxM<N%P^^Sg|O2V$<tjhVvZ9UPuXGL1Z#XeU<uWAE1=`4i@XXA
zY#XMGt$B6Q9d`^R==;#A4M)kMZZ<uZ@_f{ELWR7Cn}r?;Uu8k-f9Zwf)JAEQy2@WI
zjFFoyE0Q0ZTqalC@ky@xIzjF``>A}v0Y|x^|2+BD=V?*w*T%?Mzi#Ng6~@V;p4rO&
z{d+EJ>+wmZYTZTnSut4fI5kbUZE7gQ2W}Q#K0PKpSl}eQgqILsb5H1N`BI2ZW5N{U
zEMb6hsqj_%hj8{pS5l7bLu>vHl{8orNT+Hx4aqg6hk6^R+;BhT^tPop)-I&o;7zty
zA5zlkP?AT-Q8$}>+MQNS4|zK^&FYENLjzECMH64HPsjAbz=Pf^rEH8Xh^w~3__emE
z^ptwX2R$&z&l}rQ??BV-KAzY<M7Zz>qYpp8pW?ePId}u-^xP0|#SVIfJ8@geKbzq(
z27z0;B4>OGo!;tB-@|87{gpSu`D6An|M9cLz2Bq6Z#TQJauaoCSUiJuOCqM^Xvq9b
zm$8^tMr?)jcd5n_Hh8fC`ynh~nwDUpe`V~opvN-T&SNHK^H||NJ+|6Qka!9DtYE7F
z%N=6G9u8Q;+%|7wVgI(XYyS>1*}gMuQJ@3!*?pPqZ}nmYn|)dIvnT9QZ3ufmma_?a
z)0xy&V$CyZnQ8K0X1YLu8-?}Z$!`Zs`I8bSd*xJaA3K-NxnRI&9bL`eZ{EzkmG*KI
zZEGF~8$LPhJiqSb#82p5;ySNgc$a7w{&dbIZr;U-&lqaYPmVglE&K203YXULNOgVQ
zdT}B*bySnG<2&#xU-Mam@=G=<^)idoGGk$SW7%k@?_%G#kHsAi){8wge#yt#Z<HT*
zei(W7ze2sBU%Ik(_YJbDH|u0<#VnaoX(w6wv{QPsO&ubStjUaW9J5e9p~O>eViqgc
z@cAKc4OJD7n@<*(t}+zWpKKNHIGho~oL$7v(Kp3Gm!62qo!*E&mL!SQ7Yf7yrL|(F
zeg`%qy$5@urN&Z^jAHGvQ<&!*8LMbCVs5=RGmF<&4BhP6v|+AnvCd5<w|vBoMoU`J
z?Qu-lp2rsES2Ev>zs!7!BLA46%A2Q;<W2h~^ACIG@o@u}@_B1E@IBvl^S_Ty@E2Fk
z^S|wv_@q2fZk*`N51sSj-+k}$9~pkUH@nMCbbR>De%E=#c2_=qt3ChyPRiNsw1Vq8
zPUH4|eYv4x6-(b1#OAy_!7j%PXBX1^#MEXRxm8;qVb$ZCf@$XuLe%`u6xXL8=`R{a
zUc)qK`lHb_DS0&6Ez+bf;Uj5;?{G@oG=xqH1L>3Gnbcg<k4EIGQ2KBcx-wsdx~}X?
zM^>tmhS2~rUOI$+uTrNwd&kgIpGnlxq(i-q33P7O5^A5njy#`lBi~Dh=+|*u$rpH$
z?pR!<6VrTYPy17{mokF7zl)>hpE<N-V;Rj+Xr(iqyJFJR-mq32jLM6nar)^rbTpA+
zne|ej)D)?Ecc5d&VdR?GAbY1HmZe_8qNVOQa`y^GUGTzb(F?7r5~E_fJIo(mL}ra0
z9%o2r!*`M|^~C}_G}1zsJ1Q92tx?jBa9Wh(CHeTxXiMfGlC~DY=!p43(9KCQ?Wk+=
z1s^oUBYU=sLmoPbzo%alM-286&lKMgS?X=^QuB53%q$PF*Ai#Z_pOcisQy2(=ApTG
zXP~i|c~d5C-ZfR6^iV@wy=$O&=yfk~j$1eJLSDN(`fQ6l^KYG8DopZl<qG-T0~PY!
z3##R|Hs9pk2e-;6U+5r42Xzw{_3kBB1gMGkuBeOu<!g!iU1p0zQWuF=Le_~NckL2q
zs+<<%>zu@fe^<qw>+Xqt2fh^Jc5?BS#L(Kbp+c-R`zL;W--AtFGLY>WJ(l^p&td_g
zi<xD#8B47^%&t#yWIcnfFcq(REV2ESbbk`ZW;MQN8|C#Z)2K7wCuzQePYvg?v`Jjm
zK*ntgm-8XkTY1+~skdBzp0~EUa)Zy_{OHVkeEHR<{J`;-{QBzG{Gn$!-|#GqkC+q8
zSO0s;i@NyoiI3g5tJ*2vK6Ewr+&P|)`Q6TLuX)J=*RE#W^aDiq_YY)w>+*$@rc>!z
zh$Z!QaiBN9Jf*wiTjbT>kCwf?PxsIHQ(jkpvPru~1LpbB!MnaxJ@XC?p5#L{{<mpn
z*lj91>O%o_cWB#KKN>gQpT@O5qQzGO>2{}A6gWSe0!&3Zqn|*}J7&^?Yahs_UGja*
z{YK9g{h>hRF4+CP2R8mw!N0?U&@y!-oJWsGe_<NzcFaM}IpE#y#c2Gu0>}H9VuY1B
zM$~RY!O~qAxN$FvDkMEo{65Ud+k>;6cA~H07Ic5T9^!!&=>JH%bM~Ku*w+(LIBNvL
zY*j!toh1!P9r;O_QA18fk@u0u^fBCv%r-gD*2n`i*u;bi3>Q$bphL?(kEfH#Bk8N}
zP!hWhrXzuaXr#dq+Hh?+ZQQ0onKt9eG<hn0)|f+Ij_cE{h-I|=s|ndQY@>xG2kC}*
zmcAxB(tod9>7vGU8n1bm(juRb@FSS!evp&efn-`8nMY%iOR4x)Bl!%Hm>mfUsD9TQ
zS#t*B+c$O0tQwEvelzgWbRO2+l$hlq#%MZif;=YqcMW!;lhm_|)i{ilW@|VooWNm?
z6Q~<<4D~sOU}UflsrC}nBg7QrhAe}5ZyAzWC!^zn5va24joORtG{pG}P2LhmJ*E5i
zo2#!<Ue-CXezJ*P_7Z5&+cD&A*pHkRb)g!oCLw5XsgOLbK-i>{Cp-zr6AV5V2rsBa
zc(|%oD1G%)xa-`RHs0<@4^FF6mtn)n)q0$iMLdIMtQF`-*;1-qxSmq%chdJDYqC9P
zPj6LS=*|i+nlV-Cg^H3Vre`SGsdHMYm`+bJKa$0{YDymRn@+9iibUxSc-g`MsQ;>t
z;pG$XWtI-2qXneyTmskjHCVBJGXiyYBWUv>WS%;SMjsnI)wGA%qw`2_lRQX0&Vz^8
z;!D*jC_c2p#Y{`oM6JcF&kLX}PREM+5pe0Kj4s_;$T=sAMofB11HG?MUdACBbb29q
zjvhhklCF#?r3&S%`~^Q-N8#y}t%6<FB4P55S;CxI(}l<Tbc7{`1mQ}Hv9R>ZR-uRK
zNkP@*qLA~_TbSPav0$<)Tv)g-Nr+hgQP?}OUYJ|efv%$`DUDMj_h%#NRM{jlF4HB4
zSV=>5+k~b$?W8^a$LZMx2Qoh5MkmJIr1p>pR6XGp&A27fdbM=Q3n-)=yX#45QU|z2
zD?;N(KlF(kj*_txprSGp=l1F&W#Dpne%lE4W)~*RI101#HZZPrK=}<xo4&#om$Ti`
zP~w5SWs-lZ(iIZl3X#_5F+=qPR7USWGFyRz0dsIEVk9gR6j3&&Ok!ueq2tdzXu^?A
zv`}JdOl{8<YS-8Z&-d2LGVkl_?Y-|LFJJLj-Y{&mxH@2-7*lN^YPu~JCw!eRroWpl
z7T1p#dmS4nTI}vBKI&5{_fCE*ADHbaf4<K|KJH#m`KUz>Q5Lh!=F+LldN$SyvLk;N
z$|i5Im3fW!l|_3-%GNZ0kj=c&DzmTZA$&VISeO<#K~Q`;SE#sWB<Lqt2%VN370w1Z
z2od)@1k0Ougj3;xLWsJQFYqf>=y9M}I2Q0-pr$S~Zk!4|@fuF=Hcq0{J9?z(xSUSS
z+eX0+$LYi#C%WwBMYFs3)3x$o%2^vn9#-$E(X@{4t9HULiOX=WX$Zz0n}Fwvy0E^p
z1UH9nLeu&K(7j}XM}M3#5LZyDbQ?n3eLTPa6b9#BAf(qTOv!(Vsw2<QFYpn}kNcqe
z0C#*+u)&FLn_!TtBXN{_<FWXT>QB3pvc^c#ZZ;K4x+#fSLY{cmPJ>0N7_--P``ED|
zwro<%1(r~LiLD8~%=)xlW;d5zW@~!5uqiGV*)~;YR+M{zEpByWK3<M&WxONPym5hf
z4RU6ER$P+q<y~3p4-dBc;5F9p>K2<2E#<EGJ!Ua$gIK?kaQ115lu>;(m96CYOfR>T
z&CF_G*F)Oauc&UkmwPYnnykh<NIyQG9_Xe#_ny0fM$S7j&Uv1DY395m)B5WTOJAmE
z*}+-w;N%d!ezI!4gkA$=eWD>-=Xp%FE5b)M^ID=TFt|<DW<OFexW7zzVs9&SNxUy~
zDNh$3I!avs!<uB6EBQc@Z0XLyd-T#TnTEglLl0bspt6^MqR+eV_^yk@O?iY4!{gDQ
zU5;6fo%Q{k`sruS8>Rn(Pu726K3l)yzD&Q<Y3Q4ehra(bnZBAZM?bvd41NCr6ZP-6
zYwFMLKU{zQl>z$wZmQ^SpQ)suy;DK|-{{Wz5s7UG9RCyktD3NDd>yV|tHeKtuW&B^
z43(#a=onXkPLto`ZecF|roDsR?<_psoQe3~>Bve-lRP7-=+>5kX<JgzuQ?e#Unk@E
z!({l!CL_3a3a&Y(pml62rZ%NwUTGSh|4hfzDVZofp9RO}Y-~T7gLf)<hz-rh2a6A|
zQvQhO&`)SyT?D<7VszN}1$E&i7}{Ej2`Xh+*|{7ilgqKhvI65XDx@r|O1Si|gnwfN
zKKfQ*(5MQ@lTnViz%o$8SG;;sir7;n(9`*XmJh{<-Cu;0&7Y8C^%2LbKH!`Adnq$3
z5ARpxBJABe%-@m?i@%x3dXxd(9qAaQn<iy3rlMIZ1#69yq2ZPUgN8(0IGl*HgA;MR
zJOPRy5|GxEfa}_cNV$`UBh!*FuQmy0>B;cPO948kL19%oMzRddSdxV`wb|%@F9#QP
z<iS|`JzjM!KzPnaNfT6v0jrBK^T%f-o-M(Kic<WVPzK|L<p`Tz0h5LbXr8V_bxtJ~
z|E|Qd+Dg!~N_^0(METtcto~4rqt#_-%>Rmq4@z;}qy!%uKf~pCF(SSdV*AEVI3O0l
zd&CFWpUcP7l3Z+CmV+WO8{;So6Eia;)<`<`Pe?=QuM}J;O-5i<5-#*g!lX5c@Qh4=
z?cxOZ{Ef%j{CE@>#A90b1T=3>z?qT+$lVel+nIzOyOQz3Jp~hrQ&F)Z9j{9=kmjC+
zq;>D`dP*(^tK~zn%LnLwFTm)+Ptc4glIF>0be~fK)6`NF>6XFeTsf4kRiNNxC01%x
z;q`+m%&DqET}zdeO;UwT|5ai1=SnDzs>He36<9j99Cl4#VR@$%OQ)3J+LO<?qf(3q
zdkc{r@e$*?6~NB;J+6A^p`s!OpM-Y^yq|@AYMBxvD;-<3(=eng1z9hW@%LI1e%($)
z_t*q1>6L(}Gx3<C8js!Y;t&%V2fM5|-0B;Tmp1X}F*E^oUlVZlLn4ZQCE>^X6r2c6
z#i^y~*xo4<zjCvrj@&y*N0*DYiTTie{{hzJA0_R0A(Eu|?Hv6D3Fk{C=5-k^TrWqr
z!V1W~RU#v~3TyXQ<3MgTUU#YiYpKS+7u5)yQH^l>D)`=)-pln0sBSCA&YoqcxmpUN
zE+v>@{uxsq6(P9v6M78%h&6^EaQ=8c%mQ<9q~aa4CuO79CKK*u=^*noB-N#$>{>Fk
zHzi>%CBkxH0{-rg#|-H?2TYHHYgQ~)+>XVUE3t5R6ASHLad7jD!@EWCNScs<aJ@vV
zJ)4BE>SQdjNkzikbW9$UiP(PG7(6Bi1D51L>BM`a1{5Hz;1gD~6~U#~7Zi0a#m~I2
z=xbY!0e>rytY3xl71hwzsKNEH8uU`GMSw;v9RAk8_eKqp{#C<nVm0!{S7Gk&3LLyw
zj;&+MpyFDJQy;(JqUvWT$co^;=@YITDZrA8?-Ajbhj4igO1@?za6lF|Z^*##pfrhT
zmI}YS$xuQP^4b&NUL22*k~rM!DUIu<Sn&K9^g0)V<!fRvXnhPs*BH$I5rbv!u~0RO
z!`e;pkX=rIS-td4oJmHf*{M((oDPi0#4i18*q+HjPEsBe)IVVE@sF61TnJm`&v+xv
zZ~sMKadKig`hTs!sGU_<98?YCh#HJ`sKwu&b(p=p4m+h^tzLB)>RO8j*)=FEuEv(P
zRhY7~5_UD^2whf&G47?(ck=}W*~KvUR0!=)A2B)q1Dvz+u_+@Ljydn7e90`Bcg{rq
zjC2^DNX6T{WDH!Mgz04oh`tq%y+`8^ek2ydZ^xjuE*fX{MI&xdG+wuIv?)ZR+p=hs
z$3|nt;TW7ZiG{9}H1=XVnxuK6`aKEx*(uQfl!ntiGLdAGjjK^PIH#SD6Coc^ru_-A
zfkmk7`$f86ECq8YgQ0B&v=>*QGOrp{n$q)5u7j+p4rBJ$!^XEB8!pzPVoE*MU#Y{J
z@LELp*Wk*gY9yCcV(_90EVD0z`u$R92YkVgyT!QaT!_AVKBA|=2Q+Brqgo*sW#6-L
ztu_-jE$R5Jl7^WJQ?ST02_ya{z}F!j?$hG%s8cK)|3o8lcr@e(ILhi6cHUtyvSZkF
zi$TAJLFF)q-;8K1m=uGE&9P8Vjzh+t1gsO1V7?#)zDLvWAuR*hi?U(<AqR)f<U^QH
zfQ@;d@cmdZx^*qVqr+c;x8?YpQHlM5)%a#uixA&B91pC=;eFq*rRW<Db!x!$f^XQd
z>l=!K>R}jOhu`+Kh#pjfh;vmK6<GnD+%ojfDn)3hR4bf{5xTq(w|aksVcL6X9_Arz
zbq=0sW=r2xCUTq8(D*wA`vxV$Vs#=i0^;#-bR5K(7?e3hBj*^$tSbx;rI@8V>qVSZ
z6mjyK9B#@YthbAB`zazTfg$J}NB5yI=yW$0f6d}yCH=3jr<0M9n~LkE8MxGzg?cdu
zU9aY2o>c*s8x_J~*k?54l_26knZ)v{z@9$U_^42eRd4E$GW?sw<Y+)bO9M`AYm~l`
zMieh>M77v}ehuI7;$uCcoazwtuLhEn5*iySp|QLi31hxuV}&%&uN9+8SE}Xj3*dNE
zTC@A-;YidwbhgUEK<x}H>XC-;Ka#QaUn0WP6VSdb4m!y(65}u$gL-n<)QB+rEyomH
zIf|b}q0A%-0lHDxX&MEk;3&*qCWo|@$8H(J1aFSuX)!pX7>C}&5>UJ=38+kgsaHBw
zc4uMi#vIJvnvaUZ1yFV<M6>f}NmpJ91ECyd?<*mjRfCPI>fk!^8&=(Ez_*x2xVSZ8
zN{8=wsP-LOa+^TZgf*KQ;WMQ{I)BvTk6Im^=F}i_N)`HctiZ~Uuh3gj0?m)bsNYbC
z!MO$C()#6_nu~#}rF}|yCR&`+kql{XrIL(8f24J)b3DdRlIqvVXgGXhIN&Pc;08HP
zt&74@he*t>j=;qW5$J0Xfu+_FIGh@R<Cc*q7NYQEvm7&HMQHBlm?YIaMaMWSYe<06
zm1OCe(=dNeCbV7Op)NTOEBhB<<(5KBy!RRL$)!+8F9-Qn;p+5SY&=ts6V?s5uhs+)
z)9)BCry1&D&A9ol8H+rcai;k@sycm#uJlgw=QZH=v3guPRf}|~_K#?n)-%^KWOXS;
z_dTD{6jKNzX${-4?>&ac<)UTGJE&dD#CElGI0dBOhiMYpM<(EdG)|BD#o(Miht&-c
zmxstvni7fg&mv$K^A^>8-a_vE2DN5yAZ&Ysl>u*XX!cuNRf@ob@sUt;i^3wA2<4d^
zr;fzn)Q>p$g(afTs}$@mN=NLBY{(zw;@ad7u!#7C#q=31&r4D9vm7nGtHH}_G12N9
zxPK!QPkcvmMKi|Lwcyc(ALtwY1IuiGpnGKtPBb;+_oMH4-A5XGod&!ZUJtL_8r;}g
zh3d3&$VPlcjM*0qa4&*!<VUnryvK-vc{sH49dx`iVcw7iKeH5^E=`1?RLf+GV&ODC
z8Vjd0cx;p7GK+-8vIyw*c#Adv!cjji9ER>;xG^&f3M0bcu`CR2JPdKR;i$R%2IUoR
zVdWkP%L{TirAW1JLkz}GjmH*)B(!;_V#d%+oQi*kXP5G!W&RNwQ;N}8UjmoQ(%$S(
z6=sa9Lrb>?{JYo$wWrOn+w=qDd|L5f_fO1>{)vlEe&V3!Pn?_6iWdznXk68d)ZI<!
zCNyBfr#k2^t-<4~mFUOIu=ITij(;h}2x;FkzVrhc%k!}6`#Zc<%7X5!ba-2*z&t$>
zm59gDoES`Y=Fr(DB4B$I-du@*SHl}PoD0X7`C;gX*SK;r6kooF;ABt;Qi4M;ykjVA
zZ-wHi!)xS9@8HJDH;B-QK>PkEG)Oh?**j_7`xS>+%OpHfN`p>CCRSGFK&jIQeAJY_
zap4Q(D1*hoDr|gJi)roO(Dtnf%Ew!<@Nz58jQa)Og}?E*^f!)o`GX6AzhP7I3rWv^
zqUVrSL`-YJvwuwpcW%Jm&vnS_S%a<8xh1NrG~d5|LEM`nC|vr8jna9fes(VQj>twY
zwG4!-r=s)xB&?D4nw1}8P;SbxN2+6PF_AbK_7)Z&!X<8981{#R;@puC>^K;Vf`C_e
zIN=p;H@w7!j<3*f%PWNS4Ti^{5a4(y!ls6y(}FipeH8(R6LPG(&he^S9HLmFlsTP>
zqxG3sx;PicQ6Ho|c@b_sDZ$b|<rqD<M)G>r<I|xg$rIUv5Uroswd^-emHok~?|*U7
z`X6pv{X^fHztFDvgVCpdV~#Wj_MQEKN`+?luWZD?o%QItx&~`TRH9q%SLmGnB6<Ca
zFgT(B)#mxQrj!G}#7vC1o`!@|(s}Y^0w#LJ!Z4HLz+@4RUPYpd#ald@6OMHK*T_2?
zg87ZF5bg64W1WI<Amjyt$Gni{&~qr(KZniI7w~L<fmY?0Xgnb?WEO=${m5%v>+%LS
ze?-93KtxGXG@drb!&5f}Pk08l9nV3y(Fg3CT!af<OHnVa!4qV)5DqusszEcd9=F2x
z!fz~k{}(;3v|&X^JM@Ql&@UO#L4T_xK*6y#O#bp0Q$PPkrR`5B<g}ouv<W@s-#`ay
zF{)i!BTkl~cjXuKTv3F`@B$Q!&Bxw*?@%-`6XT^b^%omy%vZ+ajv(znjG5$xjDq^d
zw^(T&j=8;FqhEb6W=dnLy)+0J8PC!A$}@Dj5s2yK0nj)XfD5|<F!WIXJcU5)oB0em
zZqKoOc@P?oNxhk#p*X4-j`da%STBfh+#ds-?+HkbO~tKuS@^4*59`gJFz2N-=c~(c
ztEmQdFB-61u?2&xe?nXMi>6;~80yqP-$K?=-@&(|zTLBq`g;31>QDR9LBB)44*Em;
zwqfqIKWOGZvBSRwIZK;h9#@agLu*j7sRH+;ef!wA#judhLI#80qqAuadOym<dTAZs
z;*f-OL*g+pL;5D~i&6%BB+A~r!N87T(2?f&Qngq3pQ7^)2fF>jxV`tRB&4DJHqg#}
z5^3+DAx)K{MWT|uH<{Ucuc(w!G$f*|M4=(0jBNTnzdyRJ_m8gklI#0C&pG$~xz7pu
zm5zXcRE%n-pg2DX|5+yDgKYxt*2S}YQanywkB8Q)c&xQbz<vKjte=_;PvKOEo2ElX
zFAL}H=c4ZLBfN8aiZ*tK-ktjrzBk|Enn*R<0aJ&Q37-*jrwu0R9SBPA!KSKy{AV?c
z$>4D;72zPetDNL#$wkMQh7xJYO$jHsscw{uR_buk&=yW=ljNWY-3hFf8O5fcL3n-d
zgSgOd$V+tM4EGN#?`~x|&Stoju$u94E&PkCvAyXXM8wL`d-x@)OP*ub)*|%%Er5FI
zBZNPBh<Bf|VWXCbl$bP_?@ht}l}T(?RRVmo<8XCPEY7ctLBxe<-0z9Pj5krx<&MVI
zh-jRRk3sT`IFt$}An95X*6F9By*LAc$vN<seuRsI?02x`IShDSgF~tkp2t5TrRo#5
zZEb~j+E4th??HIN05m2>p!aAJBZi#B&C5*|8+gcGjF+;n@=~-3FL?^{QsxdGiXd*v
z>gA+MXE{jqzy#cUMv(3M7hBHvf>Wg%K4m}AdWxNW&M!C_`w0>U>d+})gW8^VnAZFT
zu0P9=Eb$y=hYBI`{0Sm==d+m@xo~dJghzK8PR>d}t7{@O=EkFOBnFB6(fGbE658Lx
z@vG<oZvF}b@A)uH-57?jyJ2`W`vFGQhO;@=5xD&+3R_HL87G{83+!y{zMFx`9l01~
z!wPd8i_pn5jSb!vnDqGoz2~10%F%}M*}q^c+>2P}AuPK!f%V5Y=|uoH6&>fLqiKA^
zYs*iYn)zu@DL<Xj;-|jDd{m>zOE!Vrbh(z3y2}1R(tixq^M|lBs1FG}-Pozw0lC}l
z5P8*tlo_8e)1emLT-DgY?mY?i{wm3o;s!@CK8rqu;QB{M^vT67(JUOyNQ3t6WZX7O
zfc1k|C=5rz%pn3Q+aEx2S13AtgW;<fgp9uXFq?WGxq)myop}H%p9MhH>^`o?1)}9p
zFw_D<5p^~kaqpur(iDejZpkohVfSavL!=ly#T2s_*v<78TRUoSQjqmDtJ~qdy9;%S
z19)OGhA<IMavSER%nN*!dq99Ja|LOey%0IP7NUM<A^P}UkZRHdsBH;9?LEy)Bl_GF
zrou_foF}j|Y#2G-{Wy4|2Rrt4V8P0EoK$N;I_sZ|H-5zT8&wE<QI0!HUqbv@2?8!Y
z!?HDxF|g<%dbP8#=Uy64w6onyCh_o|6@#6;kr0%5fP;HOpjj3O1=9eG?(@SD3m=?q
z^}>L^CxU}LSYPXo>$&cD*W?a+a}V%(d1B*IZ<wF;#f#Mec$^=Ew2m-ze~3cyodoRv
zkp?Tlhp=vV3SMniZ!M}skZC<+zkbDqEuE0LHUM>{35d9G5r-Hbwekp3=P_ZLCN4^@
zvSKv%h8PuSic!`@QF56nLPt%6=*}4dx+>2{%Iy0&^@oEJ&x|9sauC~>^upe|6OtU?
zp=R?1!_(O}@quY&NmaNTQI5m;W!T<VjORPp&+;xGdrWiCtDb>1N-2n2n1IUTF|d9Z
zfk!LC@VGGu0!ab59pj5#Z@n;UmItP!yQ0?AnK8ePa7(g>?jk$f8Mnb(B^!JQzlZ$}
z_wZlyJ+@2C1~a7Xuv^#xIY~}f$>9d`X<lgI^GA49F!tV!#3k88T=U4pqR)>p)bRoq
z-j$GwVLie3Z>-K>eO=QS#@Jmb?#xf3=E6itV)RKulKP{h$n&H$1?fxEv@j{+fh2t~
z5T{4dqGWtSh;D`O)4?Dfntzv*a<j+r@a!NI=lsF7@eZ{AVLgFBGd#5G@jAX5GnQ50
zKpX4L9+zMs?<t<KI_RuY4rV!}Lt8o-i;LoL&Lax`w;#aTJs7g=`#&r0i_CkTI4$c2
z<#H#yh_=U#2pep(zl+^dZsE%0bttbh#X#dl)V7?%iv6bn9Yd%W9Y;X*QP_JPfw;&K
zTt9IHmlKXMZN&fw{7z!<-Z}jFdkOQVn;}xd8Y`zbV8u#zWZd-!-_QfJgeHRbR4&so
zOR%7{62!DWHN7sJxIPN8Np4ct5F(2dak{izhWwM{X)5P5ver<bvxgPP*KQg~f0{y)
zc5*a5UYgdNm!OGXB6LqzkT&`8lGRsEvbZshn4Nzy<46w_!+tQW>nn2JG~z|h2gKC8
zL&2=q(2sqN#y!taGXD|Y&d<TGUFpyXNx~X|IP4CH#7gZj6iWo5e$)@voZfh^>W=;s
z&QQp=hl`pGWKZ2jTZ|dhWld3&bspYUr?C6VF>rewL`>aotkd0wAD?ybIv7y6y%uxq
zG@+Zm4E+;}kY_Rv>v?A5z!PN*_)TZ`>lFBB$RMy^0_%>5qT#0?n=j1AvgrSxwZVa@
zUSnFz%?GuX*Y;{HE$G&&UGqyz+4zUnrt{yl%J#QwB^_zk>P!8mwbJFMmeuNREg|^<
zt&>g@T4p@FkdhXKk(NBlzNzBGspT-Au7fetqu|RigMlZT|J)LS&&$)Hx%CAO<u*d<
zT`zu~;GvZ5;^e((Dy6%qkcogARhlfMi@A&G>(FAdGG9bboad8}+Z;MquR_jGr&G->
zc{1A|MK2bJQu<y23NPlSLw%Dd?;8Z&{tYk3pRna?h4AlB_^nY3wU1TcFDZw{P#NM)
z*u=WI&rqZA81-8o!ZJGx*Y>AFZD|S;brTU49EZaTW03MM5|UFQaNptqI@H3jZ9ynP
z9YUas5Uf2Jg1SE;C>RJu{EY{gZyAAoBGK5mBn}~LC*7~rY3QGwjo-2PsLXl>#|@=$
zS@jmToocXI>=T0HTk(_Wsei8ZB6asLd_pI2Ri2BkT<4+9?ENx%#!teL0`!JUkPJHn
zsQQ=yIbGzZ3rc*%>BvL*>0GoWj)U^L#$mm07|;Ft;ZoQGG<Sewyd4e7U+~{vrp*P`
z;!yv4EH$ct<j5;<B)q^Qvm(4cTYy-Ld=#_(>;bFI8@*GpVM7wi<>OJL7=yIEk+@Uv
z0QZiB!g570GPVYyH#PtXoBh$g$`8k^ePOBUi#-c`ai1|dPHuj9HS7=N-}kZHA{ZhO
zVeq;biHfhWSiqMItNIL#@6E%W%g>M`R|Wy~cbH6MUcinPln(wtoyi}3wjag~E)H6I
zoSQa)kAy-5DD8w0sk;l4zlsPc%@QGxaA9hU6rz#Uf|O>-Pj1(FX`wndC6}|`h0{0;
z_YT2Jpbx4KyTEtu2clJ(r_tAh*19?r)K%j$)8{IeFn`FE=`{RBSRMBS7tiHEc3U>v
zVVRCOw#m51YS?{yV<0me0n3+R@O~bQ$36E^xYZx6pMCHn!3*;;J&-uY?lBKnNSe5y
zF4h^@tDW&)!x>v+oH5nI1%v-wv53zDTT;Cc$LWW6Vu8qQ4n@w*C>;Hg0A-mBv<c@U
zG_MG=Ctt(5pavzSpV89x1NR!3Hg|dqEh=1;qQFN%c7k+DSA-TF5Thl@;uN%5g7P#a
z$i-2d#I}l&$$b$zZzDv#$^x|3ftTh#=OX^M|Ijrs0z2se@N4uyjOo|w(pvFN;xl}G
z>R_i{4Zg9rc){-RiQgs2QeyYh)kom!$YEM+2E5j%;Jso3G?il@sS|+)&rqzL41}tW
zKOS!L!G$HB5L)Yo=hvN~-sAx58+OpwW;;Q*TVrD0ZB%c(h19?1xWCg3{ikjqN%sc!
zNSR?>vpLSbx`ow$?!a}84W1O*qfyocGk16*-i*!63JQgNK@51BQt_}e54=npNWS<E
z@2nefqVhYY2=rrl%_M&R;-L#of|M*TMx}Qo$$L_o8a!o5MN^Jeam!JwkSuXtkfzG@
zl4Kaq{!XDVy@(K?jRw4=BEm&qj3)5z`5<aF{$PE12dW)dt!exj9(U@1g7?s3zT-vq
z?w`9}jG}`D;4{p_Cyy+QwxnYH-b94|h=F=&1k_DK@%v;TDzCAcC&~-Ud)y#>&>0_^
z?Acsn8}!}2gX@|%v0>p=1RXQR#)`9WyKM-gD@Wm*au8|D_u`_+PCQ$;6|z;j2(Hk^
zZ6a)0r-dz*>+w@$J!Xlm$G@KS_*JO|h1!iMU9g$eDr|;<!+t0a9Y>JM1-!AiiIY}#
zXq@5!A*CR!_l(7dL)oa<UxHP-)v%~(#VN;r1axy!N|+$|x=7IJt8(P7qCg@yXAr-!
zGVKynA(_j{6j?fh&eL={K4mIhy(vpR?vkWvDN6oF1!=YpFU4-+q~w>QP~F;(*HgRD
zviuuX-fsr9>QOkq8e8@-k0+}P)w;#lFIE6a?mXzLX5p7{Dr!F`!0|e}W0pi<gIFle
zi3h@UnIE*xy<qU!4b7*W*-SqN%x<t@n&(|)XIj8q={ouwFT?8Rd0gIp1_vb!F?ZE5
zTzr2RF6{>(X}u4eIeRe6cQ?+n+0!f2cH@QeUg)IkhrHQg_{ASb`lT}v8oq?9<~Q-u
z-3D*?UC{H`hn?k6^moJ~`9Kcj>WX2fQH8zpTbL)`gSK@Oc$mjaw^xWzTcad3+>#@$
z{;8C)VmkeSA}KFsf2K~S@%hteqo+Leo66ADAqh&;7NuR+1?fo$FNMD0Bv1Kq9DX|h
z+b7+K|M?w8`@X<(q5-B~Yd{kf$lLx3;guyAy!#ZRNAj7UpA94TG^8~rV&~piRCGk3
zE+P~g%>yB1><1ROgnTO7FFWLfivREHVzpyZpB09Wm|?}R3BHw`N7>6$csqIwi%uNE
zrQtm=dcpRpmTtz3iH+#Gv;h^<*1(fr6Mt7O$IqN4NU>Q6)#Q0lST&dFJG0?bpo-`Z
zGvN?86T>rA;pICEJH*)>yyE%T-?#*^J{sUr+koiLdXN}B0O1#BSq))<t~5us^VbhD
zccRd=B@2shJqLfmM>K>n&)jVchkE!(^P)IyYL}yMQAKLcP$ALmS)?pChnxpz6PNug
zdN8R%#W6GJ(8Fn@d{K_%dnKui)$t7j0%RM;LkmnfNV9zyJX?CPi}@Vo%i0j0+ytZR
zwWx5YLTl3-9ASQ0_=Y09-S`CQw;tl**G#mUrQ-3*M68(;i}&jzvBxG1!+(Ns(lr19
zdwe0V*$a`E+)-ZYg1dX2uz#8Z0%ouoS!ZluF<_04v3Idp@(z^N-G=)5+qkvh4%UiW
z!#Rk}VR>$g>0u7w(qQwW!aPvX%HBqaV0>O23F{4sh*_J3Ot}I$uyZl*C-bFkSRJ~d
z1FqEr_|WkWPE&ZvF-4Hxc!<)uSP63dB1L*@WN7sh84@*-p(Do9q*5VCNEN3eYN9mn
zkPsQ~<)@R2cqs8N2eq4yF`sq-%bAz=-|?Ra)oMkjUK8pqYtda>g)aSaDDaozc4HBS
zYS_Ei_YkEkvcMmlitQ?ij3<e~FP{jAS%sq7E)c&`{IF=i3x4|USpUVDc^D4J-eQZy
z|E%F=dJA@?*Rk)E37WQFK%4U!Xek<kNBkJF&mCsH;{iCc8Kf(=?#A`UJ2AI$2h56h
zK+Sb02KVnqiS|Ck-8qCei;ttumhHJpyNuee7SN5eMZTLW*5vpha8@|l8<J2~l!uY5
zQp8;UfRov6c*Nh2>TwQQz#~Aq`eHP%Oqw_qrjW^61xi*{q?J{Qbo7)WjZP>~!JDac
zc2JH6lclLkQi6&%i_p0X0%Y&PLrd~FD6^mG#u<IgljwxR_jb6QXhzMHdI&Hbs!ii9
zcmv9?cup}6w?Dz_iiZ&Uk_qmqsd&ly|D2&{90?AG<*^WqZn%#xTE5t4;EBLsSMc{a
zLi&sybo;I0veFXXg=}Ar<z-}FG(v~hNnGhX%2<+v(AD09kWJfh!)7z;*}3$8vH{nM
z)<9osCEW8@;K!4tm@{_?wD}jI{vyi*pPLV7iTO~vHy{7iFF?hr#Yn1LifgYm(0p_q
z_LOcyC+&jolw;_0GDh_KJFt;*!HZo1s8@}_Y4dFKO@D#lmmjf&u{+xjk7BtXA5Cl&
zqhTjmD)CgHGF4?Nnx{%`k+bM;^eozOj7`4eQ=zF%ic~*s8Yv9R(vt{DYSt8`!*v4m
z#fyiWOgJc|Zx{y*d+}}lFHGImhJS@kXtS=xfKwF`tKVSsP$?|si*Q2d32rZb2+ez$
zu;55Vd{P3u@5I2E)zGil9p~8-2(B~!c+BI2^ml9q$O~7@{o#b%RSrmhW(y08d)VA`
z2cjD-k+|$8uI1lAciT0LlwF0G*;N<{Tmwhob(F&#db2HAuWF56FI%QfIbwc|8@TFx
zU|t`D3(b+R_?d*{t{lw!Scq+R%5jBpP$Nta`T6J%PPB|;U^Wkl?h&N1H=@*JB1vKM
zW$1FREPX7KqqF&Pbfrm_ly}OI<q|1+9x6`yIU;1>B}jcb?04G1MIXfeL2d6alG1yz
zW^pHYnC5<&@gcwB>fv8gjhuxQ5X^iDIRoZ(t3L(jvV2tR&1RZq8s=~&VVg@Va+gQq
z)_5r1w*^A5!w)XP-l*B)4$C-aES=$ir<pboEV%=@LpRYg`zn?!G)4{M>9xL}z|pWH
zi1cMMao_I7%&ps@C##3&|82rp4A6UPJ?=eSgM5osSX8Kq%MltdU9JHEcCQ;XYQk&D
zYNS768~Nf07uEC-ZN3}El}FHR%)Vh)b0}uop<cujs_ntBTAqNPZ4aSSR)+VUbr@$p
zY>m<=^w059uBs?~9F``7*s1hpM3Iy}E0fcXnPhfqCUI<3p(rIK%KL9Ry-b<HG&~vF
z9wR~XFNzS?asjdy<smgb4l>XkhI92FY)J1w(Wh3N-`9k2nOd01S7GX*H{h>+f#vrK
zA$9UGg0AF3BQ*oBrBdJ*5fAnK(Fk4=j<Lld_^{_b+Jk+uklzcx@4GRd!5PQrIY4xw
zE%qF=##Vhx3>laqz4QtSeJ-K9k}<!IXJK4+3VFeX%=bP4o~;Hb+-<--oD;Cva1zJP
zuzIBNJQT`ISj}J#^ZnMa8MjAFrW=gx{9tq^41w(D*zzR{|II4I2j&^`k2he5>nE-b
z{$+hICzTBGQ>>dPt=uF<6BDvj899X(FPKIl(bH(N$~202K7|ga%h6*Y8FCtxpikkV
z)GQ}NN6q-CvyzK`o|r^4hHzvD;~CsLkjdGGyp$$5Fh1d2R239D-e93YDW-E3!MXA=
z)|BRA!Pg8nA1ej1cJYuBjK;0h2S_pvhTHA{%-qT5A{%+&Rj3P=bUL7Kk1f*T?&3(@
zO$2IOh0^nj$hAC!c?Jg9Z+sXEQG0Rr-*%|kZpN{N8^Jfa4vRZi;@jkMXs=j;^Dgso
zi(?LA{8gZ!r-*6OrlO5s7KM_M;LsEWhq)kTzUM`?HW$RBC$wC;2emYe{%Gx$`lY4a
z*`^iH_gRZyt)A^VsMa!7tk7E9{8H=ByAmy)-ltlwI*+t=SLbL624-kkho)$?d`r+8
zv5eKqFpAQ;oFA_B_*R%!Pf3WDTw<`+<d$Hq8x_G?RmVcL(w2v73He5Axx7o%655ib
zrFHu$W9M0Z>qxWKQ{%r{0-S75h3z!VdAtOB74^_4e+~;qnQq6<VfMUq@L4eCZXNSz
zBE}H=Qi#s|l%q~R6*{<aK23Q4N1FRrkW`2|&5Kz<Rv(tqSi~Z-xT8ihKF*}`BhzW-
ze0h59ElGWPBDCIspB8-NBL6)TxR(4E)v-+TU-}b!HncK6p$R#Obx8SLjioN{V0-lq
z%%aPnHT5~Rzb}OJn*#K4J%)@`9`<YG;=kqDNV=Yh%@gSuXWrD5KdiSmOvR45snF3$
z#p04w^gKv|@|ScpIc4HzNH#W1WqEe4N6_C_02L9&;;6oWr1vYl(5pcC`f5ZmZ*Yo#
z6AH?|;x_Z7Eb2S)+v*QC7Y#tgeHbg>k3s#;B;+@7(BB~rI)9LpcAsG$#B5ID3*#WU
z*nij?Jb@OqG5j$Y#_k<|F~Qk~CdVFxcK$-VCSxmav_UMT1v}b4p;@^e9p^uww}jO#
zODb?C=QaHHmcfGg5`Vf2QPNX@N3xHRbS4k>UvqH6Eep5LXW*b!8e(6i;N+fUyi-iV
zr6o-Jb4x(L$^>j#oq#g|37EAf5kXgzU^SkM&i+))KAM5$n%Qt+-gNXP#wA>PhB$%e
z;9yM0>2(#5Wqjthi}kQy*bH&TguZ87(Ei3AcsBN9)>+2x{$E2b{fEjmoTRymi`X(3
zs+rDB>-f2;HjIm$esI#RE)H@z{}1}U<G{HQc>n#2qucwi#;ONvJ$|8;dHQSZTET14
zjH;`RSZdC+5tnN4XT5{cpEuaQ`6Zm5KF66oMYt>Y6o%g(;la;`_$r%&5tB@`kEEgL
zVG52VC1FW@0xoIC!=<13EWcv#V^IuVJdZ{~W;9$TqH#Ml1}-mSac_4#@^&TS@#|##
zDNMs6^(<)4d&u6N$GCI15O>*~I%f9<R`yjecvcH3xz7kUX@f^HV`LJ4<GSu&M4cN&
zVfQ39F;8m4FD}v+;h~wOJk%=7OE<W9X|*>G8NK1AD|uXW@gyh7C;x-F`Z(OphOzbT
z0A3ycgZVSN7=QZ%<9FN8x1a@UTbL&oUW+!<Y9t+ehyDX^5OAdo)00Zj%vFe~cb<TE
zMn2lxb0GaO6SBQ&Y_CoVa`O`5VHA(D-Lcqf9u42mk=X4Vf!BA#kzDowa;G1_>-Yoo
zGhJ(+LpVMaN5IuA3X@4O5I7SLy~HFW-AcpjhAixRk%x0Do}ydnIcD5^4YheyP@GoB
zcBwIbQj76mOS+&{&3FRt5u6C0L|h3cJ*(iRAokvUcHyH<8vJz5n4dJ3^V5D`KH7Vq
zms+>*kji7`RrGRDz~2d^Js&~*@xQoM`v+kwyKvp>2R8m_MX+`=^ZgniG5;fko>U?K
zG}CD2y<*<z3%n95LddcL<TCB<%eNd1-OR-BiZqB$Pe$l}3D|vu>22Lna0rROJi7<j
zl^lv(*${-j3PQu{KzvXNWQ^i{Sbx8dg0q2$)(>K=YcM_*G7SUa@H-TR--2<>qfCMn
z^X{D*b6~{v1p0Z!So-r7Zr!ee{^5Fb9sGisyMAJ$>>qUA9D>F6N$gv}MZz^alsmvj
zU7iATIYN*G<_eMGJR$m;E=b2;3Xt(_e#-vBOI81vX7`hmMt1&#l+P%**_|hm{0Bba
zozU_9jwFw-FbHhIJyws6byTBr<vZ+&d5t5BOJP!9gy!f1G<)Z>8JO(sH)b$>B^CMw
zi737hhx^*mklq%765BBN^aSIJXCNFe2B6E{4`S^;@NxA<wT&0rt2_~N+Y_1Io;WGz
z#ePrTm>ukc%V~aCb?iQ3GJ=tq`GD0h(HQ@jfRTwbw%;-r{)SHxVO<KL8SjuPUx%F=
zzaWzF&|+u%aJYLE7teCi_zxcX-p)^dw+hjEDG~Bn&h&sRQHl#-UQ4$KJuefcm=!|g
zrzb!j%#T``&P|3&oOG{a98K4TFw)bDV@6#tVR!8$V>HTUGY#`+Etb80kBnDuk@fQ>
zl;%H2koz+PNk4{5K`t8EUCwKfifDJ{53%!oVr~@N(;ndH@eo+748*tf{@}jugXl(2
z$e6if#THlC9&v_7x+Au1bwH?wJw|V`T#kYr>pARD5^o32M0=ELI-=Cj8C>daa47Ud
zxR@V!76&0`PB=m*Vj-NB3ZAtO5$sY3dz;r-K2d{&SIsz;&;gf&132u)7!BsL+*~R^
z&Bemh6(~k85+vw*7waL;OOf0{DH76=q^0k~>3fqXdAbPGq8<S{J)Mtw=5W)s=^Ugd
zIST%cemGQg<M^u|j6MGfm8nhmdZQLkhpM0%UJh;JGT0q2W?XFnj%4H^Pb?dM7<b{e
zJPC_OVsZaVBvP5bcuOW2%M1gss>%m*PI}^vyc<^aIiaS{9y=9m@#c~>k{c{BMbjL*
zW2~oGVuH4&i<lyL9#b37B4_g%95p?SOXp7GwC))QFFJ>ND=$Fa{W3atvH7$qmiTze
z25H|Mk$TAkyMzL8@WlhH4o$!@$82o9REUF2TU>gB)qoN|usv*m^|>7Mik+KUR`>pv
zl%#_%WGLa1JT2g#N=AWGX}0=Q!l*pS3b7i4WlscynLcn#lw^Jj(v~xP^yNJl$=Xd~
z>zyHdX3XQ&?hYtjZo}o7pP?yKhjp{wBkpoJw*Dx^AJ-zB)qjG}T@R6LoQZ~%6x<h2
zz-`}X=xT<eY9tt9jR6p4eNxwN4>YN|V%k+l{Aplwul1SM@xubLde_iXZw#S;voO8O
z=BfMXBdlg08rSZ`zDhkfx@be{@&-JzSPkP;b?g#c$~3oyuv(*rE7G$dA+HRr&C_uw
zaSF!P$)ZG13g0Egk$Y4GW4(gd^NAm~X7Qo?6A!Yac%awJjfsOi*!F-I9v}JfQcW0_
z-iU+$uPkgk6~R9;7vI@zSpE2oupZhEvFwYO>B(juEcIqwUL@1Db08r43i%35bIIz%
z8Garzn=eL*yX0v^Qi%qq&!$POd9>o%0$NtFfRr8P(~h5WX<*YVI{RCRL>DTMgN7X0
ztdS%?eda|Z@Kf#*_P%#b;Q7d3RNU*q$=g3*)Aj}JNsY|^`+(uqm3T4m8ajP1P`J1V
z*O=Gfbs!J&>$36kP&$MYlks~|0%U&1AhkXcmYm_JIUR}zyump6<36^D1wiwzA96SN
zLhgVMOkaB=IFjvk{^5;1(LQKy@kMK#KW=jcviZls2n%}vU3T{$`V-IinN$Qw<sfa&
z6a4sCf_XyaaE`5ku1ymxuYH51P7j1i2eB}J61ji5NM;Hj9m)`(4VgkzAuU3u>O^QW
zrzjPMh)_k2Ftr~QqWiG|WER0k3y<?q8`F?qF&3rQcm!Yg2jCXegX~2eI8f2Xe&%NE
zWVweG3mKQqJp0=1ERW<-idTP%@b`KFN)_@^{w*6(HLO1UmW)*9G2~drK$|lXmFZ!S
za1Mry=Y4E`;RnYB?2NwhgunxLq-DB7SHK0Y;+-%W;0UkJ4*1W`0r&hIFmI|O3KgA@
zmF5ib23IUi@__adwkz&>02=H<Sf)G@n^h8UIXxZ68GGfYSd6r)H;5nqfNIkgeCX>y
znbrWTWG2z(%T2+d{A4O1OlwL+iT9~Eg$zj0`b(1Jx=fO4_e;>qE-{J~5vBj$2~n<&
z0ChU^Qd0sKT|e~?pAANk%h=naN4nvDg=M0mzQU{b6W*V!g&n)AZf2C@mwOq@>l7m<
zmvO=W@*riLjoPs^tW8V86x%o)zZJ#iem%hBs$e+&cOU9GzKB2S1?~mzC{T7m*ak;5
zINL#v%LW1m@1jxK5)U?-<Hw(CP*A&q<e|&hYkCO>V~tUeVvOtImtY=bf@hDeLTIKr
z&J9{&;bI#U7C4}3r5h;A2OpWw=UEoT=CGyU4%6#*I+j4?<vZ+m{sa%ZpBOXzi`p+7
zWW>IK2Svh^GDU*iou$c^LypvL%2UsfJn8tzQ@NoW@jJ-S9%U(7uv?tAvb@`M=3(~S
z<s~N}F6vt_frbNv*c0^|$K*QTmDdUprzU7Q)xtK9@fI@Wun#Lm@vb7)OER{UX+@>`
zGjSmz1!|%Rco7_pS)0SLMJ5D$CIeu?>x*A%o=`G!g=L8&?rPehpv)Q>Ew><l<~p`2
zUd9XoBLvPq30||K7#}%+%UQdT8?g=XWxDK)Y((qx^;i(K8W+km5U0U<*3l){I&Bfs
zBj+P2Obv5q%*8T|Ik-DM8~v_xu$o5=`&mz`ptl%)SC&I$&1yVqCFCY;2XDPT+c$Ip
z8m6})67P&p%L6c%@gaZ2bI>YZiguQjIR2so8K=i#wwRy(S&7rXmvUrLHl4DyRVa2I
zyK`>NrYqZLQ(C<$74BD|%{(*c3ey2jx5?5cGfBEODMDJl0;HnDL&sG($eDS-nx%gb
z>)U~kPg<e9lIgx&wYVi)g&P;%Aa48x{9hKr{N-cJ9m&Ns{Y=K!reI4{0tOvoknSIW
zW$!`}{2$Z8pZeqM4IlhG?1>;_H$<g7BWJcF<f`qEmu~~@W^3H@x`S1tmIxQPg>P?f
zB1Qiu=DoU!m5XoTK!O!C=37G}k$Eg%?UB~*jP7C&)HwRViFxP8|3;xcDw);Mx!`?V
zh>7kuSewfDtH-U-c-w>T9;4XCdf`p1ej4A#dgI^X6q+MN-QJAPaFivx2wB?jM~3vg
zr0H~+B#Eet)8%U-G<-#n9GUJmm7AMhU;Kx&HN(i?)`zIpPOK08hKk!Qxa-^i>7p9!
zQF({UDX*Y?;yE1GFkXG_BZ!{LL1juh#2Kqt6&J_&lPKI$eSk@cV60XQz;j(6mO=7B
z?4Sz@Z#g1;x*al_tZ~rH5>{7k;BJZuLgrmSYUgR}88iU@jw9GPd;o1@d+`0lPRv@m
zjqT;qgO#=}RO2?GAwwH3mfGl2-o!G1I(TZS2Oq2Lj9J(N6&`)&kDf$S$0f$#SR&=3
zJ%oKdFd`d-{=YGpoW=Gs-Yde->Pq;$Y+<v#e}kjtA55+I>FyCR+O$oEe5Wy<B6>RQ
zZJ0ryij}DJh7v7Tm_Zg_6ew?S3LSEnrPg<nq}(D(&W(a(Tgyu;S~+Qj_&D|j4d9Vc
zH)gXOU;xWN9JXvgy?zZ;%qpPu`X$VEmEfSjQ`C0nL3c6>hc(k6aX%4H6k^f!JOZX3
zq0qS%hzAaSc%S8kQ<H9(G;)SHtFhh%+rZ$(9gKP3L|ph)DE>A^uFW}IKXwvJZI2;$
z_z=E5--m(DT?n+;j@{;4klw3{grQCN8>|hpKN}Gwp^X>vn;2`Xi>D{I;P2lZ;1=JH
z&@V@ECgLpQ?62ajp*3!mI^o(~ALe0&!Ac|v^`&`e3Mzx&rdoV5W;xc-L6&3VrURBj
zB*e?UB_}xwuAN4*wTjegtwa~UDN*W7B~oR6!m_$)#G4^c&I&SA4hhQGC_;s+1t@(L
z4;gIdp#HI8s6_N)mFq7&c-jVI_0KT<U5jeQvb#?!N3LxtVwH*@-T4@DZMm4sn~AAA
zQ@|!K!fbCe#)QIImN6KrEdfv+^+DeXPt5mpg@=F>L?Z1_bm$(_PS_ro9cBo>V+xnP
z3;36E25y-r5X*CvW&94}St{EXAhiqU+qa==@fHmK)5U!ww&%ub6YlKUgbH3AoX^!o
zyWJL;g|b->YWvtbbp+f-r_o_&0{UTv4g&{pgm~iBe@qKhi9_45Yy_1Q<Am&cOy_33
zh;lD#&6#)7$4^(Dh*6o34E1fAO7+>(skm|m9f(w-e^8?R^@^0~qd=`p%Y3y$mT*Io
zE;}&aim?p)Y<Vfwht&|~W4IzX0In}xke&F30D~4(vTW)S*7Lm+s6ZLZwx0P_jIFT+
zY_=-<)*`ZS<x?s+)+J)|^B8<Kj)42hP#l^ah)c{vRyFX#NRk@@WS#Nqfjt~`Y|uUR
z4jS9d(bsbYRjZ7dR(BR#Lkw{?|0rx!4`F@lURaK?83yLt;D167fh9WNNzq2%qKz!i
zNO0Rpu$s9MoBnF!e3vd(vUB{jcQ^K*IE=?xCvjN$GSXWtv0jqRt#R^1#))8b2gN~J
zH3!bMjH@uK#(|VpyyNf3XB$p>EzEr3I&o@>lcm2p)96N^B29WJ5#JhRs>o7e_xudn
zl&3&v;---P3|X44CrLJXqV$<DFK3tX(julaS(l6=Vs}3*)VlCpmu0Qfn%SPRdR(Du
zY&Lp}rqVK;IamzysRa-c%)@QfEV!Ocg>F>>Bn+7TBN+kT?;+6od>^#~zIeUR3y<vF
z80*Joh56d!_*NTe=rBG*^Cs>ZU&WOl#<-Du4p$3KVx!V=v^E@O{Mddhzp)3K&+o*o
zrfsPFyajxB^)T{bGyV;2#txn>*fDJzJ{;c(&9S|ZSJcOgzlM-`bP-oW%whGz23Z?i
zVes7#$6LeUvnU1MGZ<^l@{I*StgklwftWc%Oo!p7nw>(F9W6nzgR<nHIE@_tO{cp1
zGbnUm2E{I)K~cA-Q!~djy4WR0hnY{hJYJki3WVtcV}hT2;3k8ve<(dY4C(2;2$%bX
zb^F_3Roevb`?cWouYz3p8_dxtMNxGjio+h`xL+=2<uG1<G#OoI<6$!x#oo0C*kBoq
z4VMGherg}=XAIDM4p;aZJF<MLEhNLN@w@mIR@z-h^u5c#6C<Y8oWkplV{mFagafMk
z5RkeP`How0E?<|uC)$YI0MsR~hga}gq)lIg6*{Ytx0ual>s^h6^tG7nz5zx#8}V$P
z9u7zCg2Ttdm_6?d=GI?Dr`tX36?4VIfBx`39fgV|84zQ6f{X)|xU2L98|U`Iy^n*$
zzY0)?lmuNPIr^rlKx*uaa*Qd{;0qO6yG4agJX9iyb&51aW*RwPX1<n%6n#G|Mna2(
zNI`&)9*=O6w%j<r*bKmPT{m2H*bIP>7I>^|VA+8hjIXS~V&9j@Q!PR3_X1pR$V1$4
z7L+LsJ=uvc+ZGFBp-8;z3PnR7^RTA-L&nG(owcl%HF80}q9e42Y?1!g8dKC+U0P{|
zzfZ5AmhTcyWEjD*<TT598X|o2ah&>i1cT#;(f0lj9-lviW1kN}TTdUU6-SZaaRMFL
zXRyu47+>qJ<J9uI`1{@-pVZu8p6ZW`bKzLDKMA5|AF{smInEz_kKs}_lR&=*bJEB0
zX$~*(oDe3Hw-PjWgDgn|O`*%>(`awK0&%@ppsea?be?M}<II?!>@H0vjK6Y@6`{dC
z0SaEhOWe0ONiTE^#-;<1x9CR7<L~g+_=3e<4ajV$LGXA5l=i&B`MMH3b$$x(v-$A9
zn2p?kG{}EXWd2<&)^tWd<3T7snFL~rfgc7hc)`nu@kAe;P_Wb<HSzaw_>vWNJ-LD7
zD@|~|%?QR%PQtA4C{lV3VC&}HNG#uqRX26uy&br?m3>!NG;yP78RS+j#<GTaD2SO2
ziBJ`A7b{{?b{Z5O$YJv_Y1}v@ftUWGXq+w#p&<dr$?;?UM_woo^I&T#4{Sww;jh65
zp=|;fG8e}4PH|Lxk;R)pMMNK)3peZK=r~BQU$YOvch19S`8~{F+FE5}IFg1kQJz!^
zIrm1i3jJZ<1s5586QKuca<p1z1~u%RMJZWoq@=Qd4&*GL&hYuvy+Dmp6K7Gud1Z3X
zQ6Np`xpFi9fs66CUzQ2bvK(#-`7w#?Z-W>){u|oce&SWkSL`tOgvqNPQC?Sx42L&(
zW>Jc%DMk3f?!wiKB^VB6{dZbA#s-q%V3L5|8L>FP6NTd{;h>wLs1gpwl@`V^4*BE#
zK|eg@^JV?B4}{KpW5xn+d_Ck1n=x;cO!vjBGCwqM-^bYJAY48k22uA&+%}1Wwm=FV
z?axB@u15&!DuRa0Yn(`akB98vf7G)LYwvVHa@JqW(wo4mBV4p6oR>t82+&SzA<E(t
zp{-pav_oB#R&<K6dP9T)YK4erF=HN?o}4nwL-B50R6qI;4ymK~to;{3RllKd>=%CY
zw?j3w1(HV^aeKu_$StVCQ>}88n3XZswipJwPqC&gAB&=L@Z2r~5w0n)%S(X1U@SJ+
zM8bvDyNygUozC>(AYp&-ob-WXmnS}?xkEkG6%k#|czu;|={k-$c-a9C{q~sCVvn#j
z4%i{%2)i3j&@py_1fM%j?efCnLw?|z7X;C_573|!ix!rV`ui*gkK&(V@!FSoc=$a^
zt3ScQ<U90#|G^HCG3?mDMUB>c<hGFUE%Qam{DL@HeUqT6tk!R0^HcJA*ncwyrn^g&
zN=k)k%MQk3hwxGTGj7s-#X%j8V_0JT7fP3Y!{vGh%YL-sa}CqM*sKqc{A%nwQGpYS
zUO|Cr`^(gyLEYpLQr<EKV0#93{z=BC+;}90MI%2x97{fg;Dl-*-ue4MeIe75ez-&a
zwF^#HJK{92J+7U$K~4Kz7@lD@I`e+FKfDHy5K|<GU&cQbV;Htyz~+k=AolJ8rpz_Q
z58un+Rlkb-MT~)rzKt!-Hb|{>L`a@H#A5wm7!?Yc>{x7m&v;~3C%S$q!|Ho11LF1t
zshQn4<u{5wM%=WTQ;=G}i_)@wNzxXUC1VwNN>HCdj{Bxik)J$C$jDK1zcej8AV~{Y
zKj5V#OsP-!Y0*X=(k|toW5J_{D(%Nhxo#-=eaA4%)LPGIgay-VO3t&HAs?9EaPc_=
z7CwWA%p<H}wT#h$bjB+t!Eja_f(jxr^LiL2^n#$h&L3*qz0rNs9X|@4VX5MP8DTa^
zI(-Khip^2B^9q)TU&Mxgr}0e5012jtnclh=12H?0;jD+mNNsraFpli%8oc~Z6Nw9#
zqy54XEa_bUzcMvs^v?#jttxcbKEe+ZN|-6E1nt5ZuwJ2rPG@ECx6j1EOLI_nU;#Ah
zmm-mI3$xk(GwJ$n?CU>)qLbI4b=MAYLtc<j4re-g8f4}cF_yC$RT<x~fz|Dn%##p{
z79+0na+LpdI>o<Nq46oRiSywc>MWT<ttPXnadalj04NdvLk0S7C{LoFq-aP-jNTRr
z(rbNQ8fW^w%)(K)-0s8AWt~XXZAU@wXB;<Uvk`3Gv%9n$-sj4&Tb-T5)de_zEf23h
zXW@o<8h)=&!s_L5sNBmk6A>)4Ff|0mMfYLEzPsze-bi`xf!uX&c>R@~zhXyhYqiIt
z&2~6AW`nbwHduP<9#rSwL)D3U7?!eu)plEKm|@RmojNk#&;=Y!58Hgs7biJ`Aa##T
zDgG4)x7Fz=XKzr);S$X4e+vWNdZ-_4gJVn&c14b$Z<3Q#9`aFlwGi2?6r;>)3DUeT
zMdS9;v^GJSzKBWFwkk>D<ddLFjE|YFDNJWi2~hMYUaH;9MTaqod!0iV4ey2Wg-#Ug
z{)U<(EjZ@dfF{O0zBPCUF5cJpRrMT?N}j>3;St-p$nvpQnV-|24B>!ymc@(4<MrW~
zrX9lk;QLU`@I?>vYC;~kvEQ#VTBIDXkkgjwU)JCax`oa9H(+RL3azgfA(nFv2EC_n
zDf$HV)gHs~z$4f?dKl5-hr$2*5UjEeBhmZ_#tn`m#_J@uFEfITsR`rOZnBv*_po-G
z6JGxFgaPyWKa52oo7FR%(T}ly@FjGZwo-bt9nHgiC~;=~#5{fyP!Xl|>!fJIemR=C
zb1FqLuC}2@fo51L&}q$S#J6M$#kj~)(iJIs%P&qI7ulK2<)`%{%q!OBpmePfc+BmC
zo;K4fg4;27elxiH>+q`YJ-*I)3mdmGv?>=v|LYT&l|RHp6U)>}r^4-W0#<cK!^<fg
z+c$+^yYhX;68b`9ktaruy23i%5nqJuaN5}#FV^3})!=K0nRN*pn$BWX(FufB>cd`e
zKbr%x6K_WJ@R9BDc*XV;>v*lkv;uXuPkSjoI4{KBg=)Aoq>5!-N|-J(9diy(!MBex
zh_{zSsIeH!q6ouqPyl7|d{9c`fv+q#hPya%P=^!tnw<F9$ccuX+*nq?i*wrqk+wn%
zE}1fn=T^i^`?;8ZcLlC&*M`uRgZS|B67qTMuyPukZ^roZgM*AM+Fg#SCtnciGYD&5
zK6<GvL27DKsU}C6mRigqpDpug_UwgpW!^$M={KKN<;<m-pH(T`K#9ihO`{Pj)=ODR
zP<@avWp?sW<}EI=_8-TlyaCMI-;Eb%zcUT51=fX3yB?@P`^|TFqVpO8hZtLwP>6)(
zPf$3-7=gYltXECPT<2s2%u2w~!5B2LtccLYaF~{aV(GnLh}yD#^lbo)PWq#KiyvmV
zG5vOtFAOz((VOWD*Ep7!m=S>UvjQ<u6b#deFkJr{$==pD#yTY9PHZOZwDO^Hs}Os%
zUZTvR65;H8ma%{T_e&j6?dXN|@Cd$TbC4l756Rc^(c0;Plvgf9PG5v6?5GGWWqE<J
zWMTRfC`95)f~2yOpI)uvCHEdKI%&y4&+Ervb$<|X8+#G+s}nr|-{G?BD{K^-u$8M0
zb6FnJM5zMxM_wT+|2dv(6oRkrF=hon#0Tpve0EL4%z`AONW~-9D;imv5jZ9ohC=>e
ztXIF!W()X%=J}vu&=c=DJ)pkR4HfM!Sn%2zh1|~g8tR0`FekK2u$&X83r^i~#WH7i
zY+UVy8H~}g%(;)NzM(K*9|hG%38>}F07>M7`$G{-mcPMAp%1vUuo?du{zT!0J{;j2
z$C;a4bovG#6*mi#R=5bQN)#g+5+@!v3EF!_f*w5-r!*5WdX*_cQocg;P)&dYSzcn`
z3DfQ~|DmsP1bN>W)6UTYw*^0O?NTeE%bQ@WSBF_0?@^fi7Omc_*9j@X!q-nBG3^l+
zc(6?L><sK`NrrksJY)-^vAiW56SLV{?j4BTD*mXbWBpF92Tnb8#r8i=_;0rZq}puZ
zo_G(%yYFJ^TT8sJxC!giX80U_9YfyN*c_s3u=srq8{KXof^LFi8QW$2)EY%9cIe#i
z1cQt2n0dt)pRcm-%{+?Dhe-w(o4cTSs0fk$<?vv+ZdWHZ<EiftxF^TaKbMDI=m?Tr
zwkSnylcbsnX<GVJmM*%>k%*NXsfRQEQ%Z&m{z_8k8F4bcCqmhVf)vht*e;eQdGlrx
zQF6oJzSWEJ$zPb4+zua`W;i+2V^v-?Mx`qd9>Qi)vAIPBv!7!2?0nqO%f@BzG&~tg
z#1_X`s4$k%a55BnKLfG!4`Ugb=l=O1%Y;5;nVDq{@PBQCtD|?YI+*QizIqkD_Qovh
zaTeak4AD8~C{&jnM2pQHBq{D-n*J6@>*=8BC&96I1Lm2m!%EXN=-^$ANbOZP!~X16
zSq-uAHCQ&fo@qfFAt9-Ue2-nQ7(R?=j9Gql`x^WEHmJ{Vg~_`B@EJy<_HZWPSA_QW
zOgqp2ifG1pm@tN4BU_N>)v?~NSB`SuC{Pm9xWu=rP=22Z)g4qJD^?q<l~bfOjZ^8&
z968dND@9j0#b_zZ;wmTel6Dv;%QKB(W_3Ty-*llO@*5UUG~;1JJ>EE0BRlmix<y}N
zUraGpT`GVPW1Cc6vM{|N6&Dz%W7QJ_sVtT^2@b`QIL2{&^n;+9H`2r0@su&=x&02T
zKek0X)1(dMt+4;484kR=f`!X2vDs)w__^o|jOq<>k=Fq8pC5((%p)+<&}Vy`^s(TR
zK6XYQMYShm8%s~Y?GoELn`O%CHw$<$FS~5e39D1QaKwxCIq}iB^owyajH|bCdj&<8
zTFmQd$G?O9@Jr#K)$92waIPq;N2SO@OO9SIo=WeArcq~<0$FcTpu_*BlKr4OY3-FI
zx3yCA=%X0*uN9^&7k;XL&)!01rln2}!=jUEsiK_-IM<H-W1nIBvJP|JyhlFATUZ&D
zA$PI}FN>Z)H{~I?3p2qplme$c3HVnT4era~*t;MEZ~5-y9NU$%OvV%2wO#SU!x8KI
zZ4qK>jc}1$FgbS(m;V^UEbc5!oK9f3zdmNa-3PvfJE4@LhpbcDkX^k2c^a$Pd#4Vu
z$p1iM3-LT+E?yi`#Ul+R7_3o1`8j#qeJYLH>m_iqTZC~6f|%3B2e0KkFev53J^a)1
z3Ln#oc{;2$_-Ih;z@xuf=YRgyQoKE+wIP30OXJ5st#4V}_*p3cau!F(oGCaxJQLvu
z{=@nQT8us0hn9mE@p>84nV$LJgkB7M((|Ab^%g=gttjFjVVpldy(y8TvtOA$c6lZ>
zOjjfS7YnHS>>~1-zlehOETG_JY7{tg79C<<z}S^(#IakJ#@0xX>`r02!g{ERc`O$-
zGKSN02cY_~3%MiT@Y$sWo_8AHQeMMm%e+JH?$>yD=LODmGDghr2`tR>SQaE3Q@^Dn
z;xfxnE=gqfejFr@MPo-r1S+i_fWssdJ@LWVwlD}cI0JEI(S7ti48U%dDYWFckH)I|
zSi&+(`v!v1dx&|!`y&weI~vK%A8(gT#oZ8ACzmq4#J-R*h>U%__YPUiFO+-MjI1Fx
zcai@${uK;D>E{IAF5+TdBo93$=HYS+QY_<a3|api)h$FmwnAhZ!?N+m1*oBzj|Q7~
zsO}jT{l3mYyO_pxTYd;mlf6vC>SDRjAGqw_3T21SD0QjF_V^m4H^0L|_V(P3D}~7F
zVwTA&z`3$~Y%R{g(=QqLHaiuPK8biXCl1lyqEJ{B4#Que&`=M?e)gX2y6BJf$9?h6
z+Z+3Yz0gp_G{g>fG#_z?;Zk?>Ty=-Td=GqNTnf)zZ<Y)2g@JVdHZ2H-t{e0BlcLe;
zln9-<85p{g2Y;JFyq(VGU@mzNQ9q`wOl!w$_ip584uW^fKL~noQ@{uxNmdJzxPS;P
z@D(NXt77z!Wx_jk#mL~WC>`k)rgN%7G{z-B7E!!(M~a(n8FH{3-59p}|HbU?-zePj
z3ybpFA-SprDjypV;_(5==PHq7_y&HrOY#0m5uQvhfNMk^%yhHyNHQG>|B~=fG9I@#
zN8@EoIQ-{^LamzVe~ej>jrCz1nkU2;yQ7lzCwJ|f*c=51Jbz^et=+aro@0Z8UH7o6
z-Wq~0t+7V!9?PHGpyV3kkS**{pymW6FIOZz^Tc>D>ziYPal<qcwzCuQklh9Amp(y|
zVJSAVc`mvqKC$ckJJTfkP}MpPLt8crK}vuOCWL9uJaLM!lcZ<?X_C*Ern(2x^uAJx
z@=r=q>J@QPl^3PO#_aoX<R?`t9=fT|{ITQX@a7-H*+Mo`&9eh<7`JHU`x&Py>JYxT
z8W;2a*U@>$bG^TB+}?Xjl0>1XqrHynZg1^9wUv-cL)kNXWUmlXR>?>ybdsVnN>d@B
zAtFin-QV9I=bz4_$3q{V_v`(-@9Vmr*CW{MX9n7A2GKI(Y~Gdv7$xLEOCk#!f_cuH
zlZrXg>^tm_#bmxK-JKkc%WlC?`QeY<Zobf&;spgMcl^t9-O%)N7%Xw%JMS^}En35P
z?jhui+lK=#yYX?w4&=o#|K4dc8bo=np^dOuu@UKWH^B&7FzVoTB)#7aqq+n5ao7e0
zji>Pbk_*C_LlCql2>!lN%=+MSgy*fpiY2%c#XImPFCe<34Y?nBk@rK8zB@{g-x@hu
zF;|%c$EZ_Nn<hy*Y0;BkS~Tql&o+aa^zE@ah4KzU=d~i8+s*mZTT=8~fOSabkn9^i
zgzUzjP<+sZ2VdIZyu2Bw+g@WQGgtb`p1?=23Uh6k=_p&uxyB-leQ*Oy*_ZCmT!l%_
zmysoMiP<M{xNj8&@#W#HOR(={uRpFv`(UWk0~+gH5s-TxPud+&Vqu3#AFVJpeJ>Is
zcAy}SKa*c;kachc<_RxGXT@Bs%9(@Z71PlsI2pV4^I6_!jGb9y&>g~Aw-g<uebmBR
zo@?5LR9Tl$<gRIXJhPWUs;LzInJ<Chdt$hCQxuZZ*sH!-6#BEo;Q2=!rT3-SOCX1*
zW-5?hu7y*ZMl-|K6wfcr#)zFO@cP7VOc{O}E6X_Nx;F}!TCN~P@eVRVY9aRV6V7b<
zi$s4(k{zo|KYX>QciSkE-#&)4Y>a4UtTCx87?YipAqBqDr*Czf#UX9lX{kZMR?5_K
zUXF?iC27G}Q94n}Ih-@U@aEBXtPAa6Z!hzcEZ?AK6LTRiF*}bl=+{;L!`BJ-kj^{k
zD_VsJYq^f<57{`XdKHt-rgIKG6>^`F;P@>b_e^;%xx(Mky%9LII~?jfw^U9J!D;ni
zyj&H8U7rK7{97QxEQ2^(5sXp)g`oan7)%dDa85cJ!C~=eo0N=KKIw?Nm<8wc`FMS+
z1oDLyxIM8NXGEVvP`U|*O6|yO{f<k^2e3v`kYb%gDD;FlO=Ml#IYFA#D`cpRHL#0Q
zWa%Jhotw`{lU=VQjZ$O(<Tp`L4;H3v%tR4r800(gPptg?9Y!vn0fjaMTz$_o{%brj
zehxL2XZSLVGvIi@b9)(Fd)VuJz6e*@V=`PYm;E_c5u%iV;cHScvM3497scb2Kny~7
z2jI{XhW39#(2yL6tY!W<Zo>1-3LhxtdEwwLPt@=9U_OsK@{hSgIm#W|rh2gd(G&Z{
zy|H7hFGlg-(H;y!74uQ<UysJ6nnZ+_r{Qg2HfA#yV!Pu##2<cyEj100vwIIu_0L#w
zrVsH(0wkQpGhT)S9T$)xnK(H*d{TkN`6zP!S&`h&DALN)3MBSTj&^>Rp*o)T*8CQy
z1LH)gY8KD9_J3i|p8MrXyAeF^Gv=)Qh;vR&*!1`%Xm&lH!!^kFd5C8RDwy?Bis0a4
zEO?WTDNA$F&04Eo0Q;)<q(Eb9BC3wZ;&o0Wt}2A%S#U5krw1Td<N_}8{jgEN1BceR
zqK3UUdQZ;c66cXig6)y0Z;M59tdZMc1%sJ~U`GdGq;?QZ)dw-x%L>N3tYLq~4$;3)
zLP+8~KJZ+0VuCkB&jjGa({QX{cF>AjX{hD*%A5zck*!{Zl%eN%KdlvWj&vhp<`6pL
zL}>y0wNiO6Y{L5A((!6E<&!!+W9@n9kOtLlQ>S@Rs#HqKwE7h9tJpi~AtlARdG>0n
z2~&XK5O*T<<NG0=g)5kkx}pWjlFVNF@f`mtJmZYOBfPD<k6s7nzb&|h)iZCRmG}GS
zL$4yGHw}Ug$=E(D0heDzqp9d3^l$RKU&DEJ;R|qB?S-?&ZWuMk8Bg=hpkVlMnC4r<
z|NH^0a@dXG30rZuZ#@>BU4@?$mSLOfLToc4knL<#bB1P34EH{{Pk>D3I8-VdqVt|U
zu9uF2q}oW_eXI?UUM&<v55r)cCJJwAV%m;jc+{zd<E|rE^B;v@zGKjT&;(n@bJlk_
zA<cCqW?tQajqmL+<C+_cF9l)J8qQ*0$wu{Q=KWaLqffRSswIOs`$3!rvK1)MN`qeC
z9YM-x^jHk%eQ4zvy6QHDl0N9uBm+J23e%xE$C#J$i#5g#N;H|h&H|%&M}1R-PC5$E
z_OJb@TKXNUIIFv3N;9-?zQ!is2IyoyVP;4bE*4ebV{9oz3yV=AaT6DK?g^T84d*z+
z;X5uBhYu!kuVox6jzr`0ln5-D7>1AAgR$x!>+Re9@NlXxv{rkgHP;j1=Wxm{cl=l4
z24UX&%4WGiYm+<ndV4^4IeP?id|*?-e3h^ubeM)iG%gx<+7j_qJ{?BNIT-n|5QE3c
zFfR5n-|t_*O{y6gFTP;x=6-A&B}ny`Mad~flIE~}RbeepFH984YqS#i@xS|7gCcq4
zE6`tAdCKdRp&({5<<*K)RF4Qf=oO>`HGj}``6m{;f5(zzov=9Fioy7IXliSO?AkiG
zv@%;WrV>34<ygbJAGL%c#JAtT=Ji}g-<pYo7t<hYm5g0G6Zqa8gG1R7ILA7Tsdo@e
z`QB*#%?G+KJ-Hvp4LkV`HBaL_D*rtV*@wq5;tuyxjI~Cjq7`#U51>Ahy}O(DLgnoq
zoSn57;eq>*(0>3U!Ve?L&lYN84$O6Og0P%BhKcy1RxB7MqoS~K%OyO!${q~KLX2Nt
zfqRR2Pjrj#g{#>wlrexuS2^!-PLhnm<;e1p673XGBM07n#xK{TNryG*@Ffk_qt$8n
zTNU~>mjA!1JZ)uP_*C{$&Mpw4egi>roB10Zi+*6C(-*k6eZ+a^CVW}(l9{x1h;*vP
zn)eT&ceD%*V{T&w{~SSz*E!Ffg+l=u_#l{y*3d+lFXXdIJrcJ>xjRTc2>Fx!V0MBz
z9Z%R7GS7v5nT}Z7c>)QRHt3Q(gk^6m@#OV3Tod1jiQ87=HhUTx-50`eBXJgdHX2V(
z!;uOz<jpdL-CHB}+ZbSV>L_SE8G*OPT2L%ehq9LnHU}%>$_F{@a+bj@2Pw>}m%z+a
zap?XP!_poxgd~VV*+3GX)1{%fNgjjyRWM0e3%2ok7`KTv+K`!eb7?7aD!1c%*m2w&
z^5iq)BBV6a@c2;?(%P$`*T<UH@?Y4bB2KM!3RHbsld4ii(nxs&8W(IxmZru8Nn={O
z)sW)tS;I&gMW5LxvHFlEJwBsCL4opgvRsO!4aMlqe}c4UG4s*R_284yXSB_4MgRS`
zFim*@qZiMZ(fb(IIuB4krVKNV+-5zy5F?Uqz}znfj+s|sIg}1{k5sG#&wKwQpmlRB
zj+aE?$JPk+%?iiOU7^rtuYHGK5KbfpLPRMLF>L{mGiI(;YaonA1;f501REE#Pm=Yd
ztvxaLvN92Nds1O+mWk%VTs-b7#Qw^=@E`vW9e<gjuJ#%x?0ebA%q2bMdrB@J!mw?^
z)EXg1!+FQ`V!bpyE|a0%oT;3eFH8E%WT}sLqTRn(%a|-lgSz6B|3rj#t`ee+?Acv2
z@CzxYf54{aD;#Xvadn^>*%8cvUD=2)x^-w*s=+J0hj_8B0<r0($kVw6pMsn4wa<g`
z+AQ>LxWf1F%XnLT39sfR;7L;q=3kD4a%4EH3qsH>9)w&Uf8On1K*uy6-Ya^+t<3|0
zSKaaBz8l16x$!&E4NrEs;nZl(j@o$O@+vPJt@nYtls`882|`72I7(MC1EMqud*yky
znwE<&(_-$1U=FQr4P2`maU-(@_fCI9M%OQNGMh?py%?GE{Ohxu{X?9uIB26tnG2OD
zd7Bau?+UD$0rKIo9Q~6b!@G3Oqi|*^&|QQ~Tm`AEWf1zsylao>!ep-w=m)nTu=p)*
zi#Ni{p_a2q)yRDK0DV`=V9bo8+}DNZG`a!AWW#g<drLoF#{Aot(0h}2F}2ZfQi#CA
zqoK(D9*DMZ)`xfcVAo1dSaVL^A=w$Z+UL-);uIz|+oS)34eB-=!E|N|gg@Dj=<j=R
zj(s5iZe*X@!#zAR?ZfVy2asiZ7(w2)*lyqet7%SnxX2xr8+;MSIhUV&ZyhVdOat3%
z*w<c&fQ9!li9L*~-!w7z^eZ0M{l?WfA|xRuMPKCQ$zhT*ecPZ$?+<H`o4qFOa%2rB
zL4yMSs?lJP3U&Qbr15X$$iYRL?((eMZ7V`k-wBY>l>y8u?7`aZ&k)}Fku{-ru&QK@
z>rpL&1*_q*_W_Rg-Gf<f38KRba6K^(Sx>JqgFOQsktx__%ABc|7<A=FV36<E%ku&u
z{ptdaYI~!EXWa$goKZP&76S`TVBqdi<R3Z+Q*%q4#5P<%vH|+#t1x2TGAMjmfD5;Q
z`318$r!p1lqs`zEZi4QKMwtFn9}#W3xGORO-z|ngrbZ2SU6he$qk!}{Sv*#jM$Zcg
zboYxv%vlu6okg%pRs`v@L~zwu6tf1!;L{+9Z|$<UctjaP3B&NGN)N;5nBwEI*+{Th
zfj@D(F~{{Zu4wu~`F#{_cxJM9^bVdl*P(&^^_$NQVZXi<oh?x&31+5@d_9W({5OV{
z-7}&C4aVd<!I(T%3@P}TKIPofrIRDHseP&jS<F<Xt;<<|^pGUuJ`wu&k^n6q$!Fim
z@6es!0cGcAen#IQVZ?LPT62$v^ds#5avz%&?xFc;3F;&Y@#@8OSiQ|grp8qq@Jxq@
zaVk#mY&l;w0iHWz@v$`um#;)1`+7Kn`F#;|DFj)e!R#Rqg7$?V%uWh|jBzkVObEfT
zV$O#>4~LCkB>UoGVDTjZ+9@gct#}0^&2n&Cr~p0ocTj)gKRo(UgEco_V14>~EDGs>
zka-W*JN#ykKWE=wiO`E2ar*j0lDwj&X-kp}E#XW->U-8EOl4?-h%_y=<K3~ZIK5$J
z(LMoTdUINUp5_0>j*WeI)zO7DXFBm-nVE&Rn(*w@EBvu&;QZiI6t91TdawWR{nb6x
zTinLTPledcXSS(R4#v4$#qjiWwDqRoGT*DRMdJ}w6^$h&5fFS6hP|v)h2#Wc9A}pf
z?70B_7$5xA^v0GJPk0D<qVTK-jJA4kUe5#Z_M8hUXB{Wahj(>;xVtkDKUaj}op2;7
zyy9@CIT<}FoXu3f4vV+9(7WnB4zGHGoa~pdpWceR%x`e1_yzkoK{9U>rOY@<nv^L+
zVncG&=dVDaTX~<!XV&RPW?eD&O8Ac~nYMEF;It$yeI`abIahW>j=7d222rNchidsQ
zTpY${)$A7TG2^V}n-@^o#a$y3)wo~B{TdZzSn%>Tq?L=X@aPSMe$7T)Am<9!r9pL8
zG7imWj+<=^#+OFG>7OvjSF%3g<`1*|zU-s&!s1kSSc|(tB*F<|H_t*X(*b=N$1zOO
z4lUkC@gd^~<jx(2gvMd^iXX-XL2KlA*`R)bJzi`-#s0_hsL*gjo|ZRic_+O=DIBrd
zarimyGEBGS;O~iBsNVAcV|(kc`r~_MOnpTGd&*ApUVOqbNqV9vN6-E!(x*NZYUpAf
zz-M)O$+?RuhU#=EPL+;0C{x@E1+sZ7ORrLR*SUcAFtx(uzeRw?*8YNxR1cK)f5xP5
ztx!mPho=`BflIYm@#!)4Z+^h~CbRKwmvCmJ0QIGLFydVC;<XuQev*PmM-tI%7z-<r
zNURwQMY}=}&cY8z{Jb&YhdUM@cR}1pKEu6Fa$dj|O+ANLN8N)mgB@t~-Gn)#*YbOO
z1%|p8<IcGG2uv_X+NxPlnKupZ&Q8L7p^4~tH6FUk#+a5j7B4CdV7*@-N%5oc&U-YP
zp^w#{46x*qAwI;7hoh_+>c-4~7xM-Nwy(fw(XG(ja~L&6=W$w_@2f)>G1WO0QJ(p*
zd;K3=$G$`!pV6x?4dLj02~z)~Kr~W=s9l>3$Bv@(2cxN+&z>#&Id@U0NBhNf=~JLK
ziHB&?2U4XwRSI-vg$&JZ7AMI_VG3m4V7J0gL<D?8z+vu#xx_qalUFz`Ru2aQe(t?0
z(Qi=B+S_fEN)|zX;SJo)%f_|kneb3%zNrZB-gFY6wl@YN>LakoCJf<IgK>OZ0Pb7x
zJt5T_k0*L!;D;No{%}FtWM?Qio=26DBObUh*Ch5dHh7&zz_v3uImHoi>P{G8#(UF0
zZg}VEh4l9qpfW5NrL!Y&d|f;??756jd$ZBKlo=VE2l-&}1d1xJF-znV_Sf|Q6NZr0
z#C!87NpeV%rMa&a=+P8q8oHuF_smtvM_82%m_MO=REhLgDp3A?S+ebtqIUi~<Zg(N
zjJ+WJ-8_iA`d<9E_ZxdTI8)X30gB9&my~!8oefXXTT_KxTki9jd6#*dx7eG;Iiu6L
z_||Y0@$1sz%-M$88wuzRV^4Qj1Y+|-ajGj2cbEFXy22Z=+nC3s!d=JpyeD97>KW^!
zPk4XOKI|a6M(jbn9qU(GTd+}g1KNDoAZo7#qKcMdL*!C?P+EdzGZ#bLXfYNHu%EVS
zDZZ4hfRXST1mE5WH@%&hy7wT23hc3cj5E#|dqeg#-%W?dVvIsMu2Mdp`jsR1dM&(m
zH$!w>4~7;CQiZn!c__)##xxZ&8LmkOEr!#WnIovPbp+KP8bJnK!%3Do9_hL2^nIxc
zeGFG1;TtkkRVqOvszpe=Q-J(2fU@>(OsMO`NugF;IrbK-^k4k{zG~I1M_3niAIU~{
zA=y!klzQgycI4nD^Bm-T(y&G$85)K0%-)E`=_400{$vQ;;{*7e=8NZxz3}&;8%7^=
z#=%8r;og578qG%`!t+j))gI)?>_FkyO=wVA2SHa0jGwa%$CfR^f*bRY=L{s@nuAHl
zW<mPK43vjX$F{N4am{-=-Zsp@(|=~eslptiZ_S71;$>KKX)VlHTRfd%1--|oaoB?Q
zL8*ZlZWjZOYw56<TYwb;4}ho__?6C`3)cql+eeh9jN%+?tuk3|*Cgj~ZF*xllGfeV
zrM0!XG%sf)xd)A)VHsLvIzfY^*Q(IvISN#uAVaTtH{o!f@BDs45N`O1N~<pZPPe1R
z^#e=<Un8l!9>*(dFeLR5t#0L*Vs-~-m5NZTa|4GqX2YuJ3WnxhMoCW+JRiit{caRS
zz75A8?GXHR3IK^;z}OrwtUvFL5<3?x(mantv8SMP!X9>MNAYon6?7-F$0)%PDV{qa
z*uM?W1hzus`exiU*o;1#&Decy3wHe71_?Lzz3<zHJ=KR{&~A^t&F5fa?+({M=KHda
zYq%^9wLNL5XK!Q(=K?=WuECWfZ(#kd6XtpYFmDznF(WCG%aSMkc`Bs(K%J}&htcZ&
zS~Mw8i$32TM&)XnH2;noSv4us<#+|^)MgF#gd|1X5v7rmLiC#VIVC~82*3Ch(RFR8
zS@IsT120k6#C=?Y)i}45d$%gf5PSSKJ}xbU+mh?BJeq}6=DR14PQ{0uM9A=6soN-$
zpY1T@4GTirEY_<|dBcTg>UZWYXb5q{&-xR1zrY52S`T7-wk2+-Ze#6s1Bw+_!_#dU
zG<6oDpb4z?%tB7XRA@+<;o5E!tZp)dqN_ekmg>S}x;C1ZYvQbrDk8fSvBO0U7fBj5
zlO*7}O%yBd31QqJ0oWH0nvY-k%iJfu&wNA25Ay}newfd>_rtuQw9owa$pQ0C!v%13
zq6qBrByqf1fjg##akra3YQxQND`y@o#_@Y;vn_Yoc)+fn^@Vn3C@@cD#E54&&mA~3
z@BhVYNKy0(6$(|=rqlm0n{KBeCAf?uwdC=%{RjJvZW&R?>M@L2)}w_OK}M{1%kVkb
zHXuh;no@M&xF}sw5hSzjUpR+uERyd;!KxOnDR_fm=@%F}`iy7G$8Z_>03Mu2OL%vi
z^8iKMi;|Dv;#}D4WFeiutJQvK(2h#M{`W~x-j{$;#&Iy66oV7)QFy5riB=W%scvV_
zjKoDO*Sv^>kry$W{U<JxQRtCk#v$i}bsi?7BrF9=q8W(N%!0{N?&i>EzJugFT(_#k
z5woWlhDJyqeUGKV?U-@)JMstnk<&87y&9a8Vtuf=M4U#k=k^q5GA@)!QBJlLDd<X3
zgsvpDl`@N+S=<#GA{6~qkXB6ROxo4~v~KD}0lLsTk{MV+A0hpv32Q&SLS}yhuIoO7
z$-c*!^xy%k7MEij>&gk&it#G+CceexaqnRk`>isenUDtk1u2-Oo`hqn>~)*VS?Np6
z44-}xb0x!&r51ws`+{K0p1qup{+vhf$G+Qsu)X7lbrbxtK#O+{zJYk*6O7mTVfe=U
zi_aTk&@I5(>;0)%;+Ki(NAn;gQVjK(Wyt?s1<TR(`0MkQIS1TzIPW`r`C05T6{K{2
zPo_#sP**HJlfE(({g`#a{c@DNLyo%3WGOqDcYi9<^xHs^8kl!@)lq~-Gz-#5)_GPv
z?8hVH9_0Fd!IK}{MR4>3as}RSPX0NjI6TAm-H-9i`T=5M%JA^>ZRWuj!L|1WGeNjx
z!}lt(eVN&kor1pui8x>thmpe3%&5JH<JUs*z9I-KW%%Fkb^(t6_@GSF3$y?Az`is$
zglyq^>rNNe6P;0a&KY7?oiTB(3*?<$!45zKUh+h2z7H(C{Sjvvf{aW2-4TdK(mdvY
zSYN|Y_NyK@zl+)VoX<^fz~>L|nGO2|f7uhXah4!8{uU(<11b6zCrcfCKNuXZM0rz{
zY0zGoF7`6linE3a!xX5ki+3@H*@MS<^6V^8&P)iAOwV5wCHG_4_HJk!f9Aa-XY)oh
zVchbUIKo|xw?;7I{2urF`SSbs%pLB{DZ=K;8;H}-fm3oOcFgAtxp*>$b;e`aw`h#z
zXCZG>D6~ogQMAwxI^Vr{Kj(p{Ojjt}b%J^S85G?)fuuLK(Aju|nN|nU=De5nk=>B-
z-GM)r+u+@_1<5K~uvMM4RN<`<=wr5_;x5FT*^7N!t=R8nhaVHpBAc0XStopOU{x>#
zHb-+ONeV1`vLS6*f~^IdZOwmye(5%B-O!7YQ0{IJm!LK5mvy|VL`^<wbZe<5U1=Xi
z3f7!4`Nn*`08O&DQ>UQ2DwLh1NG9yPofa=e8@`EA%nV^V$eQY*k3Z4)mKk+29jp~K
z<0LbELq9fPU-uInnOKEi2^H8jrxdc{%)acu0bRu$oLrHK-`6g~U?TI-YU7|476m`f
z$9LKUV*&rp@7(f%my{>o*t$Zd<vh|<P676Ih!Q*um*Ty6k+1`v*_+_mz6S4>tl+U>
z5&B%_LT2L}7_Od<RGUfY&NW4-hA}248X#cVC`1n%0b4$E_vol`PF)GelY_-%X|%r;
z$I@I8Y|Rx!bj2TY|G<9psZV>%Rl>iSt9<V?x9I<5{`vk#^Wo=O%{MM!?zqKA^G7c}
znK$TvF`wesV=iYuXzn>y1WgUnI31#j`Ww1<95Vr9t`KfvBjWOHu`SsX-JZ-#J$?l}
zW~JPt#vJfXUwFP1qV(zf9bKhPu77lB(n|xHmTpX!*PGDVU)<+fHJ%D|j7gQx^tzH!
zq;OrE^iOKg!s*I%Qd^E*OqZlHQ6i)_Pk@#l=||+7E}X7uNAuKX6iG89$^1FiJbsGy
z^hbDH!x@L^Ww_9M8;c(n;Z0{gR9MGydX<H}>6ysRN#{<@RPF`h*>h$RN+<zF!Eu;n
z!u=V;W8ktY8dW0Ecp?*x4^GiYIS_-^s#t8ujmJDa&g$!@K)oalE5Bx9Yhey-wQeGY
zJ1dmj$`E#h`v&u#;^x#wXf-xryUi!q)_%jEhCYN@{DJQUL9%BK#t&&R+7={E1)L|(
zR+c0KHAy;uNrEcw^PgQ1qfbJj^lb`f@FokAzWQI3x&LD3*bmh7e1nieCzcw1#JEN8
zvFF%p%*lSvjHX(+S#xh!ZzT$%DlmG-U4+jof%7u%{^I^4$I2Xp;~Lg{$Ux%N%g9Jc
zM$4l_&N;`!{dx>;bH=Xid;~Ho!m(g=7-Ee>F>7N8^B9BC_kj65d_UXvF$6v1SoioH
zj;76#*t;$U20iiUoRJK*iRrl6a18-tZ!n|h7M7%yVNXsKy0z*svW#`7Gkm{R{>px;
zK8#oXi!^V}(u9eU)^G{BBQHe~hootNkqjMLCqo9k(p04;O`;DaDOrcvvtzk$<A*SP
z3>GBGk$*9Xb*+S?9_TLn3Y)%9NXTeL$kDg3TGEKmbGTb~WetX%e+aYc3QU@Fmw9ab
z^SBkTr<S{-He{pfWF`b}r(wKt3NlL*q3OiD9;;~Nx<#O*It>2HLU2<s2%Ee8F<p;!
zu1H@j*vkFcw%*YB;Dr_WUeN4kZ(go9=5+aB+wBX?@Cv|@*}>2d4~I+;XHlEuAtTBi
zBfXg@y2i{b_GUWMeI&KjptqwD%QRasYwA~|2=^nJS#2A5Cb@P(f-=rY)2@11>S7;E
z`Wgi~>8wBr5}dvH&HkYyvUKQ#G}RbMl32VL4Ydf9D(mk(7(~XFJ}4aLUb4szDAcxK
zqrp3LUTnmEqdIJQSB>DCmDrb8j@O*Ee5zUug|qqCFUoA(oU3SZ;@#Y_6s-12#MryB
zP#F=0*YV+SS{Q=G?E9~g^@G?1A1piX$@eEWe9Cq~Vw4lIoE%vjI?W8jlZeV-*7yc{
zEPikd1xoh#wemRXId595at4Q9orjU6E0%rrz`|?3c)2kMg98^~6dR9yNW<@@9Lzj)
z3wF2v<L<Irp3$3_<M0`);`=d6ONd4t;aQjSSP_EkJr`G|I&D?@GFOd^T-B)Xt19^=
zsE~cW5^do3U%!_uZ8#@Iw|ED$u~(SZMGDX!?&R`$(Suml$`rakVqtL;Y<L%D`m7EH
zBWtiRvJ%#_%DGGPe|?FCP*l2sR?a0kXI?@1IDS?hCt-zu9NLaV;Q=$Pwt5C*Y^gu0
zRDJQs(-T3gA)Mm(TY%yj9ByRh>?>;=)HsNZ!IoIObUVZsY=X82XY1uHAke;)dw&+;
zN%B0Li3D;4|AkNIEbhFYiA_E;5PN6_L`TnrZNn@?rT&X`x91{d*<!wLTA(gr6RaEe
zK<|(pjOTN2$#oxu2Zy1cIT2pb+yNGGo8K4J7`^=+ZtdtokG}xTbmk6&B4#}OP^Av`
zgNDU%e)r`_a=flfZi{p&{4VFlS8J2?Kf_2ig!?wQuSDNnj?QnAqW>m|(MNqDN<KV@
z%m&tJ{J&sR=tr1*e1}O+%u(7_i`vtVvH014n7EUBHb<85Zl(aG<MZ&|{u;Kmq$Bin
z3Z_m;#2mF)G;2m8+B^&zK0%n*=ZE?3K5(AuiA%C>NRV)b_nNcZt9Alws%)`b>IiDn
z4j}c~9%$(A!UFZ}*b%%19VyJc+_RCN!ws;Vwh`K{o6z@u3sN0+Ai#PL)_pw$A^l?r
zHh09kd^gy2_~IvL0fOJh!vAU-<Pxu=F7_^>?P`$Q_y#_wKBJ*+0Jk=XkZYzCotU9O
z&CgWGpEF&K*M?CRa~p~V_>Q2VManxg$%?tgXT+HgU7$ek4P~kKBzyb|L@9PakREZa
zVHWdRs&;<Gg2*;(lwk%<;Y&=2ufv_9Y8;iU#4fKgJehPG`Z9$Olevzy|72mDV+P)L
zq@eFqB2;<TC-*Y~k3NKAU1uQf$@{^4r8lIQ33h0>3*UDf5gc^_hRQb3C_0Fp{+7@T
z*ao}e4Y;nf8uLS!A@kpb2vH$CRhkX!8PkyIYX&88Q=GcW>=Y*hTz2B@R?Y~>s%qgx
zmO4z`RWKOMOwiwQ5W6CS`g|#b8%tubrUWcP#37X<4mW=Z)`g_ds3Hpm6-Agjt06v0
z8!f2@_|Y>F=j;DPNumX2X71tMxU=Y}@J0NZXsjsUJ#X0^#PfTgbap!i&-}$OW)UnC
zQl@>&wWvyJ6g~cJKwToNN3edHmuy5&QpVC*Cw+SE#=D3=!)dCa26fC(rnMX7DCi>d
z?YMKRppZRR%YMN$;X6hj=)n1yX6&By2BKr0gAPB%yTK}CKD!V1Pj|79{eZ>g1#oe{
zj=|H}n9g_Cc7b%P3QEEJ_540x6_3}hF=+3K#Lno8==I<Z8`cj~&4O`xC=kh`SU*h;
zz>seMdy)cRe?1WG62S=X41vl1aEN<E!fRD5Y@Q}!K<YB;hcY2@l{3bY#V`;n!(AWl
zgg;q_1Icf2^!-PC>;Hy?oPM+&5Fi^x_BYO8=E@UE(s&?EDVnl0gLiy^b+Tk<AxpcN
zQ#$%7dm#rT==5_jx_pZD(=N`u1@oOi`xl0X_aIr4J2hQ-pD5Fe^%>k{vFioKOsU0s
z!)m;rRf#*c<%oE22dyZE)Z2U<jLn6e(=}vzX7Fw_6&|9OAaX9AvxvMi;*3BK>k&f&
zAy~dP5dAOxa4CX$7(w1hdFYAA#UA*s;*OD%+_)po6|b4`eC~rQ#$+?2Rm=n8J<LdQ
z^}($FI9pj2gkRC&I6N-~tE-Z@E0x)x$8%BWQH&icD=_wI4W`<0NBQ1XIL_;W{QUt~
zu4EtaJuzC$GoEL;EGdmqU|ov&Umoo1_gA9!7DYP2dzN_(a%9HZ&15Yp(%T?TQU^uo
z-A+Lgx;TjMd;5?yy9=U*9k_1Vf*b4KVnpH#Br4RRH{~%*cRj#wl;QEh+xTl+h?YCo
z@peKs^HHv#_Y^aOS6zb967Ejh6O9uI7rB3fKMQ96uhR8{=_hX}*LlF<qbsKBIx`!|
zk$D3S*jIQAw&_RtxjxK!-2?cwVILf~?ZKd&C1jjA=T^0w&$vBU!hhcV;vkOXT4Sd4
zaqbjzgq)2l^4EK#cxfQtGa}IFpNQzDD>z2X-Uu(lQ}*k`&U=eesn4j2Wsd1$VVd)=
zByDw+qa%$<R5MA9CY@(i@l8$YYS$zMQ%x#JRVTUQs?>d3iNIWjpUm``^iYDnnTgWW
zDDE#*9K=fbUQC|$73RThoL_qn(dL&(;$G+TLN##OQi+Wp%5XFEHul;SV$HGZh~;-o
zU|R-~)}`WDOCrjH*{8T85@#2Op<`tb-r4%W=bAUhiZaWDb%_T9j@UBuBpfqrAh_@l
zD&_Z}TzEUWbT?x2!PU@dT*kTmg>W(<Wb;{dVE8nQTWW^HI1~7(8KEgxA4SJ>acq+|
z=UO$fJX{smz9}NiPL6lY(ir$F&fN&2FxVgj>B1rN2g`q(_niA_KGX7txs_VCxlK`*
zxt~Lqd9llP^BJl?%;!1uo4*kpGOv*qfxd<mY&sON^NAKTMvleoDN_Nv#aJ_e`>jgZ
zLpRPB^F(9tw)PsPY~?P6NsY|w{DyzEgz0sIEIqiWPUzGjo8ty_@Q)FB9UD)1UE@hL
zYaCtsYe;$14CpMsV}tJur`3__l*9Q$(?hbP5FtS#eE)YlIfU@TKe4Or8_$%V5WDCD
zCJuXz+lw1;ruqpQ6F5s$bRXVo_c$k0f&h;~Tn)Pcp*K0u+IkIU-1jwBIE`6vDHs)+
zgr?~UtjES-j71FODx+{eC=#0NQ#xT3fll!Vs98inMmiFc5e4Pn(VRVwL(;HBl=>%Q
zO;Q>LH!!0(i@WwN6+qPZ4)mtp$AR3(tn=1G)%gv|d|G*@`~{aJdXc3w2)Fsn&*rl$
zXO9?3nn_S1?>wDMq{w@_6jjP`C*BfCn#Ol`N6t5x^4<1wg%Ftp2+)!vgDAT26T|$w
zQGNak&K&uKojaMEz2hy^Y#UJ?!Ts7VYp`W%6>jC;N6B*DkxAa>cXT25^4$Q*=i=|?
zYiN0#0q=vCQDmA7-%*L!F^~1Ui_thYG7{nMx%cc{DEB{xpe#8Ew@(IQUt9o|j10hC
z(E#qj4&c2XGiwe8LGj-Zq-BI*<;@7(vF3TEF##(EQxN@<`MkEda4jlCNy=R;(te0j
zJY&r>d5yQWt(X+?6*CU}WMA13egv@hsz!`_*?+YyK$;2$WN2C`=j2;u>HG;<^5RUF
ztp@Y_mP?Y=Byn<iBSPI9h3LnDA#C~i3lhw(kp1u#nw#1o@|Mr=lW$RG*oc_^T8#Nv
z&AjAFd>K`NSI0{6Pg^n8I^IO$lsvd9XE9gv3Jhml#uoQWd~e`hguob#ToZ|h=HZCn
z5`yup1)SoYoXm4yNK|-ZMz<%%@9_ZXx-*mB4Si9r7=MucqbaV~wABqOBHf{S$P*>6
zy%9Nd0r^dV%#R4e4SCk8+3R1MlZMVG*-*X5ek2?Af)zc6<%t*YwrYmjrmslu>&KF_
zg5)YCM&Tk-G+`y5;mqAx7_3O!oRladU5WnFR-(Y~3iM-^JauTuQZb+PrSHWlni&hv
zy9Mcf@gI15{Y3MY@2~;;_4v*8W#>DjUTVZP={j^qRO93_o^$ofVZdy6&4op1@w<U{
zKeOTBmI*VnG~@~=qp&v~CXzAGnG=CB&P6)Q2B9a-58w9tz;CH1v&P(z?7=&^az}p7
z9WZJx^Gh^skh0@2LPs7%`2jww7wo~ZN4t?Pvm44fyWyy92^;;rsNZk^Z<xgyQey|j
zy{8fJ-WiL%J<&VUA0`q!JN3okp;$WmKd*B~CHJe(dknirFYzPt6VzAqq2P`n9c*Hs
z=UQ1>+NDSqfvVKSy6EIsO^TBnM(=$zDS)+?)p}~Qp4p=tT$y_^NtX8B<mYOX7|rt#
zq6<xbu<ThM>^UpaKdl`b3qBzI@N1sS8z5=>1Rf<1nHN)m%6E6rlU>B#w;R0w&&Cbu
zOpLc>4dy3zrpCp=z%mN|%@2pf{9uUg^v9<#AAD-{z><}&xRG?8_dO2GaI%BNLn}=4
z+zacYtSvilLQKgTB<ik!!qr7k-7yzmrp!T`*>oIOHwmAkOd%y=j8lOIP%|HePf8<T
zC^-yk^weOmTL~ri<q*AE8s*{=X!s<8@xKHiclxin^|4>(cRGKV+xK*tzli%{{zk0R
zTz*Nr`E|cf=EH|RnQPZ~n3u2mYCgKW$9%faZ}Y8^!kG6>5|yP&823~g_s<w(i|#D$
zJ+i>g*ZXnvp)(#72Vrc<CCp5_iQh)-L%-V$ftv%E874tKipsQO?QpXFu17IZhV;a6
zJn1EykjG>b$}t#6=1<1bDF4xvbVG+U0*28)oS*w+q(C<&O4Ff}Vsu|vh$iIxMs-^c
z6fb>-*Naw|IlhB~M<en&YT=kzjk}jBakH}=HTI<ln|TXivkNfi)OGf$WaFRct59&s
zz~xJq@k}rUqVY-GiIITim*TKQDV9Cm(OCZ>3PUTRICB)modC?~WLB)UI-m15VsYao
za|HsDc-NGIf?MebVE?W>_fNG*6~c7c9n{L+N5{;^-0f9|s-v$FI-v!=^__U}PY<RI
zA3&Cw08RWUM1zY&DN<XU7FtV?9`D*dIZ4tM_CB2EeX&o3IO&*)(HvLqxeXU0efGnA
zvKvH5$xl?bc4PLy7rYf~#|G6FSd4#%s<rGh39QH0X4bm7lS=0edtyAwFl-fPnP(S6
zb{Tv4&gU`9HVb8&GWkxBj^-CB*zhU|X|f3@u!}{VEc=5$MBsKW=X92`ZqOcr>kYvu
z*9b=H%^-yH@AS<0VAQhy;O88QXD7pvEzBNylNd}BOhAt_=fkh3V|`Q>hI7uqY+ng}
zOsv52Q;)G{cmpbX-ooN(8?HHbp}M*syCFdCH-xGAsu(TOl%%<zrRWm(-yJMsPf!W}
zH(7>;CP<U{UG9YA-iU}6Q4(T5f{~se+3Ng3-m{-bu<gbysV_KtxsCJ1AFxXP4IZ>S
zhhsf6FPi!JSFA+j4%S*~?%>1DV)mTh#H=s57}tIc-I7;u%HlE_`Fm=~zVI~u-FyCt
z#1yrQ%+?9T>sLXr4hX>LbAGs&>5F^JBi-NRg=#*}1$KI3aDpdy)Ox~Xj2FgOdSlWA
zUu=)|Lpghj6r4g?2ju&JO&lgCCc`fE3RKSIac}7@eBHo1GUFOJ>~7>8VKbKMeZ}2z
z{m_0QK!1me(wVms6!}}4vN>aPOiF<ayA?=ESCPJQU&saavj+U)_gtSexw3~SMpT@f
z*xUDcqaY=h4dU<pKHRVBLhYLlToG->^u_P6H?tA36YDVNWi@*(D)I1QIs0Cik=a_r
zPS$*MmgYdx@+xY^q{CP~1rszAxxYLXOT#0vTPhqAnZf&LR{#PRUcdytGv5vHz<+(N
zSm^J}*`sp^Ek2Ejb53H@LVG-Hv4yPxb74jt#o-Uu@MEt~rHL&bvwuP6%So(V><Awf
z7esFKK$?p$Zn59YwITwCyAyEKkoTlJnN8`;y2pVk9Bg_H;nWtS?ElXCHupua_u_pY
zYj5Y|=#Q}yeQi^rjp=HXa!j3))~S=gel=Rmy(;$tl_;~F_2aKH^k0D_ecK_%x{MH+
z$`4_Ic|Y!4_zoG)b+<*fV3p-t?AY=G@0_3EY5gOVuH%ltp}VMhb_*vS-GpUlF4Rn}
zVQL6xLp1rUC{4g6_ZavbjKGgWp`7CnL`K;KG_Y@MfiLrc)LmfY=m-IUlL)`bcktvx
zh^^QIHSHZZab*)G*{#LWV=J*DX9+w^7eK8W81Z*D^FL-_vFud%>P~`k(nJKtm|~x<
z2}aEukAAK3%m^M2gKegGE&UJH{+^6=TW8|<UV{JXrEs=f55bp~Q0_a1a}IpBIOC68
zewNo7rNiw8Gl-e%Z>IAKzLUP7dh8JQ^GQ&fi~_}cRHLmYhttI1k(8jPM{8K~m42;9
z4_A(&#QQpwcy>6+UC|&*Hx-)l51+qv(lpCeoPw4M(}UB0aWRXz%Co<rY}6-w-1?p~
zWiR1Y#2(^j)wpO>iO09N>)ZV{ik%Aa;R^HXMY1u=>k7V3zKk_8myj$K54#D`NN~J}
z-Q6LefIy5~=Z9JIeK4DIM&?)C(4y~x{Iv5t+nmA6!jmv`u}9%cTby}zl-Z=#INElE
z`N!7iusRC)BHm$5KhB@gX$&%#)qaE<Zgn%~ufQLU=fkkVA{KcjsraFi&D^;n?)$k9
z5s_M0J$i@Xxt|fZ<rn0y3(<<1yuVYEr7<I!DKuM!%yy`eth+khEmWty?C00JqDtb)
z?Cl((Nb#&$X(~w5rCZFvUnN4v*(Xcy2e3}-2Mis)AmQ&vc;+_2A?ziBF4y6ATQyd!
ztHjGMWvI)#jpLEbV@<yfsW(~pV|E46nW-q6pM;fvV{y1X5;HhsHo)hQAbX<=*Z3g5
zfbWshT;Y>^9(QF<;XxWR3mp#Q!I^!~%G(JEoh@)LU5DNX3rx*eiqgIX$af|vtek^V
z%NclAF$HaB&F~{=0u&TXa6x1o_MbOGX^0`#Z8U`JCqsDbHs*PHJi4<dLaS*Cs<LNe
z<BkQ)D_RAUt=kbcfpbj9oY2PpW2@SWkZ9pOw%rZ%F1?Qs9rl2p>0s6h=TB!cD`ppS
zk=?ofZWqsF<s&I0Opgp3N7M6+(R6&e9;w_JNr|VlDLq+}{@AP1S~W$A&X6J3B@%R3
zjD5$oL+I=JiI_uO*z+%E=d3<pLB}gt-l&J+e>G4Y#(h8O<xsM@139ZAh+n*c<KMHf
z&LI=pMrp_rO~xvz1f))lL55!ha%I9`eS;ZJUd*@k@`WSo3XLir$VhdC(@|#Ow4H;l
z%^3u{JK)IV6SyB>53S3`;2C%fEtd9pH}eEqCZ9sHts~mKoOynB$9FgOPu2QESv3ry
ztk0Z?Oh&~U_TQ?q6TqMhZ#uXe+2|E6Cbn@8a}O4O<PMc{qLj~F)OtB`G+kMV7J94D
z2N^XAyQD@dw=w&k^XhXsqq};SB3&<(qlz+VI?Qvd$1?7e;9b=E(SKlM--lywzd`13
zJ9dm}#u||~5L14Ry(^v~=0+9vExeB<LU&QzQj95I@|p9Ti_3?uLgP&ud~A{-IXVF)
zebMM>yNEA+A(*Wfh=YeOK;s#6Sl7BkuiF`U8yyiNdJ=w}HaH?}g$w)kBLD9W%x~C?
zf4kP<n8hm2vn_+~&qdg=bUq4)08yQP@!-ZR{CqY8JG`btk+WS5%F~gq!)$>Gv+&vK
zUo`xki$2XI7~iuB6Uw*X?t}e!$)9a`x+~(D^Dtj568|)(pjwytZ4qU#5UE3gNGrDJ
z^dWJ#Fv*)p(?|m)Y7o~TqXZ6nJ=LM>p}OQUpv!C=T`HfeLk+(Coio#<$%j=bl|RRn
zDZD!tm854M*rV`LfOfV0!o>Z|yqMC7Wouh-zvK-vt)IhU_frgnRKaYh0v++C@USaJ
z`>}i+PRv1le<qeWq+#`lWE8Y>k4Pi4MZa9c>d~Rhstv@n!3#JN>&>}#4_GXBh0=B>
zX0V-M&-`%=$lKz`g~L!jdH}VhJmXy01&z1cp<J;QsjIg@J$f^q-`LDQ#}*uVx{ZIA
zyWpI*7b3-0m~rA52E`n4Wf}LL8u`M@Bm}CvStGrliYcpe(c69-V!Iz9`t(aIZTbXf
zlb=|@+@CtWOY~fjBm1?=G+$AjqONJO2ULqzd25kN$1pl}M3efbsgu%i6?(i-k>qN5
z-Z7J+?DJx@wNi+rX8eV>*iXm_cj3z9cJ{;b9c%t;Sn4)F#q0^+0UzSS=W+xG+`-0e
zMR>jD2L9S)qcQgiiq$V;WLy%i@t$D3R1{pluy^H45XvR}@zLA|3xho{_Kypa1<&K3
z=?=(?x5YOzE8PCE2V(EH<JQlOXqn2M#f0T(pRkC%-JDOVn2r4prZK<H43B292G9F-
zXEH#{Z(WRP)Q0~nP0k{!Az-x<YAfa7Y9)>3Gb9i{T@=+vgb-LTWFD{n+uT#~r+G(G
zkGb}rE_3av-^{O__-dZk{?+{We_iJJtACg)zWQbE{7wLmrih`#Ocv=Q)$n|!F1~1)
zVs^{Fkdj!7=C@Wnr@3OoqYxB5V82pQAwooIIEUSe^IC(P^N=JV?&bA6HJs9$^{8{3
zAsw$6M^3sXR1-IzQr(Sd`uMTr_Dzq9xf^b!$S~Sor$SF}^4+CUiU!risP>8=eU|wR
zv1L8zkok=B^IO^b@fNl{yl-At3wic?&lRnN?!t0RuDk;suVOej-^7i)Jk}Jm;aQrA
zwCHs9p{K%LFqyd~i8#139<w;#D$iM!(sNOG>KKWG4G~xx5P>II5qSJ>B(n{oU{n*0
zN$+C0+cyDK`J9FGxs1-gSCGWn!P<&^o^wi&{<aK<^sDgt!84ple~Gt=A28tA0Y4M&
zh}r)OkAwthS(gwgS&0(u6Q|}z_JWp4lFVo+G7y#`n?pSB?3194e2=}hPLx{r3e$zT
zg7mug53<Mqf((9O!@u94Ke>bRk=*Anz6ttsUSYXq1ELe2;(h-kSg?mEL#Q14Z?ewn
zR}3A`o6L60!^*ZSyt2qd!G|<t#Bsl%M-q%#|Gdc=l!H5?P^Qc|9ieb2Fi*KWH5hl<
zQ+3gSGv2H>RA&W1^<x0{ss!R3&p!WS$_en!O4la>)`~G$vM2#xC#B%n%M6rF&B3t+
z1xWqHImX${J^k?ng1;Maa&$B5XMbi!VlS$9{=uiSLNv8blpMJ4{BXS#E!@u?D7=e^
zXAiREW?9nomZ1yg(sUtMlI+>1@N9)BWxwPd-dq7n8v7ek*}d!m??QA&2Wre(F~8;=
zCc3=DVvBmt=Rbk(!Ybq(yN^S6?_$No64aL!z?x@X|JB*J!~E?G+cb<QOosNDM0~gv
zi%#|*i0tFD%Q2Mq@If%16M$)7FCgxP54452bJ4~VV+=jmd*=?DNH=Kgc7tUEYY+?F
zA;Q^+2gKg%bRT50_slmS2m@ood0!fhF>ex?tCfy&!5nOPQiwg9%HZVq7`=+zr_}TT
zk1}|69ox_S<$~ntCrbNWBuVj+44G`;+?J*y<ti#sG-tQkD-|g<Q-P$JA$OYd-ZidL
zq*EtO?Y$zD%dFn7jen4H{U@42zBB8hlNq0_SeE+^Lj2jk*<Xj&U)4C2Q;GTh<&X}%
z1CxB_kqhKw!jT*d3}!+)D-CL{$@uP&fKcAy=|1G{Aok1c;Qi&i1^)1o@x{J=PgqH_
ze|4b?WVfG3g!gHj(l~)<N_JT6VhwXUD=2pzz$WSaFlyM#e9XOg^<*zDo9*Y!??JrT
zas+n!?a<KcfSik*7iU(texfh)pSg49Mb!Uy(3_vWh8LVE`!@PM1a)ii#jgpn8eegI
z`)`;J3RA{yN&5Fb-xE5yds9)3G{$LA_Y6&1uuPLKIcQMjJ2g^FQK5<4GjyFbnuVO(
zdd}XfEoVeX<Ff$md^mvQ*F9*}_<}aKkFe5f!ie5Rto&6A2a{?f1al{|UKtj@D}g6}
zXZBVz!{hHYNUzF3X+;X!Hz#7Fd@KguGavA2C<NXH@@(k`g+<<M=W%CtoeOrcMj8=!
z0)K|tAfSRZ(pXDGCvJoD(+xN}ZZ+QLEW`0#3(-A;ux!q3WLZsvN0}MC7ntH<uMr+R
zGl0vxQ3xHOgS8=A=!XU>OjR+@QVE_d^6Xoch5mpv)}~A0)oV#C%8-PMu@ugqmxg4O
zEY43?<jyx$&RGn{7KhQy&oe>7;h9+eZV3kVZ^Oqm+!tcwfnRE2D2YtL-UjaJ_Nc<T
z=}pL3+Y1*NQEGWEM<wx`F%i-shwG#1q3>9VbT*>k93#qHZAivf4M<u+kJ|qmK~WmR
z=-PBua^#Mbes7+|JH%*$3ww{R45FR;ufr_Ap!vW@Sl7LSYiuKGi)%T<Ta7<2AK-RP
z8G;4x;QiqubjjtTvNZ=rT~~2zd<OecQZbgNazo7oOdAu+yZR_(e7y*bYhftP3c>V#
b-ltv&gra=_e6Ras{Ca;x?efRJP5$^l8RQ&?

literal 0
HcmV?d00001

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index fdcab6b9..117c30a8 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -15,9 +15,9 @@ def __init__(
             raise ValueError("Inconsistent keys in ode and init_vars")
 
         if solver == "euler":
-            self.solver = self.euler
+            self.step_solver = self.euler_step
         elif solver == "rk4":
-            self.solver = self.runge_kutta_4
+            self.step_solver = self.runge_kutta_4_step
         else:
             raise ValueError(f"Unrecognized solver {solver}")
 
@@ -34,57 +34,56 @@ def __init__(
         self.outvar = self.var_names if outvar is None else outvar
         self.dt = dt
 
-    def euler(self, nt):
+    def euler_step(self, prev_val):
         pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
+        for var in self.var_names:
+            pred[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs) * self.dt
+        return pred
 
-        for n in range(nt - 1):
-            # create dictionary containing values from previous time step
-            prev_val = {var: pred[var][[n]] for var in self.var_names}
-
-            for var in self.var_names:
-                new_val = prev_val[var] + self.ode[var](prev_val, self.coeffs) * self.dt
-                pred[var] = torch.cat([pred[var], new_val])
+    def runge_kutta_4_step(self, prev_val):
+        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
 
-        # reformat output to contain desired (observed) variables
-        return torch.stack([pred[var] for var in self.outvar], dim=1)
+        k_1 = prev_val
+        k_2 = {}
+        k_3 = {}
+        k_4 = {}
+
+        for var in self.var_names:
+            k_2[var] = (
+                prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
+            )
+
+        for var in self.var_names:
+            k_3[var] = (
+                prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt
+            )
+
+        for var in self.var_names:
+            k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs) * self.dt
+
+        for var in self.var_names:
+            pred[var] = (
+                prev_val[var]
+                + (
+                    self.ode[var](k_1, self.coeffs) / 6
+                    + self.ode[var](k_2, self.coeffs) / 3
+                    + self.ode[var](k_3, self.coeffs) / 3
+                    + self.ode[var](k_4, self.coeffs) / 6
+                )
+                * self.dt
+            )
+        
+        return pred
 
-    def runge_kutta_4(self, nt):
+    def solver(self, nt):
         pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
 
         for n in range(nt - 1):
             # create dictionary containing values from previous time step
             prev_val = {var: pred[var][[n]] for var in self.var_names}
-
-            k_1 = prev_val
-            k_2 = {}
-            k_3 = {}
-            k_4 = {}
-
-            for var in self.var_names:
-                k_2[var] = (
-                    prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
-                )
-
-            for var in self.var_names:
-                k_3[var] = (
-                    prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt
-                )
-
+            new_val = self.step_solver(prev_val)
             for var in self.var_names:
-                k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs) * self.dt
-
-            for var in self.var_names:
-                new_val = (
-                    prev_val[var]
-                    + (
-                        self.ode[var](k_1, self.coeffs) / 6
-                        + self.ode[var](k_2, self.coeffs) / 3
-                        + self.ode[var](k_3, self.coeffs) / 3
-                        + self.ode[var](k_4, self.coeffs) / 6
-                    )
-                    * self.dt
-                )
-                pred[var] = torch.cat([pred[var], new_val])
+                pred[var] = torch.cat([pred[var], new_val[var]])
 
         # reformat output to contain desired (observed) variables
         return torch.stack([pred[var] for var in self.outvar], dim=1)
@@ -176,11 +175,7 @@ def fit_random_sample(self, x, optim, optim_params=None, max_epochs=10, batch_si
 
                 pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
 
-                for var in self.var_names:
-                    # Increment using Euler's method
-                    # TODO: Write a separate function to do this
-                    new_val = init_point[var] + self.ode[var](init_point, self.coeffs) * self.dt
-                    pred[var] = new_val
+                pred = self.step_solver(init_point)
                 
                 predictions = torch.stack([pred[var] for var in self.outvar], dim=0)
 

From 69127b02b1b4dc77640b9f67eb9bc4bda81473ff Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Mon, 23 Aug 2021 17:56:59 -0400
Subject: [PATCH 31/73] Used RK4 to train the SEIR model

---
 .../SEIR/SEIRTest_fitRandomSample_RK4.ipynb   | 441 ++++++++++++++++++
 .../ode/SEIR/SEIR_fitRandomSample_RK4.mat     | Bin 0 -> 160184 bytes
 .../Lorenz63Train_fitRandomSample_RK4.ipynb   |   8 +-
 3 files changed, 444 insertions(+), 5 deletions(-)
 create mode 100644 examples/ode/SEIR/SEIRTest_fitRandomSample_RK4.ipynb
 create mode 100644 examples/ode/SEIR/SEIR_fitRandomSample_RK4.mat

diff --git a/examples/ode/SEIR/SEIRTest_fitRandomSample_RK4.ipynb b/examples/ode/SEIR/SEIRTest_fitRandomSample_RK4.ipynb
new file mode 100644
index 00000000..b1ea380c
--- /dev/null
+++ b/examples/ode/SEIR/SEIRTest_fitRandomSample_RK4.ipynb
@@ -0,0 +1,441 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Rossler Attractor equations\n",
+    "dt = 0.01\n",
+    "\n",
+    "def s_prime(prev_val, coeffs):\n",
+    "    return - coeffs[\"g1\"]*prev_val[\"s\"]*prev_val[\"i\"]\n",
+    "\n",
+    "def e_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"g1\"]*prev_val[\"s\"]*prev_val[\"i\"] - coeffs[\"g2\"]*prev_val[\"e\"]\n",
+    "\n",
+    "def i_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"g2\"]*prev_val[\"e\"] - coeffs[\"a\"]*prev_val[\"i\"]\n",
+    "\n",
+    "def r_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"a\"]*prev_val[\"i\"]\n",
+    "\n",
+    "ode = {\"s\": s_prime, \"e\": e_prime, \"i\": i_prime, \"r\": r_prime}\n",
+    "\n",
+    "# Initial conditions [0,0,0]\n",
+    "ode_init = {\"s\": 0.1, \"e\": 0.9, \"i\": 0, \"r\": 0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"a\": 0.1, \"g1\": 0.3, \"g2\": 0.2}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=torch.optim.SGD,\n",
+    "    optimizer_args={\"lr\": 0.01}\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
+       "        [1.0000e-01, 8.9820e-01, 1.7973e-03, 8.9910e-07],\n",
+       "        [9.9999e-02, 8.9641e-01, 3.5892e-03, 3.5928e-06],\n",
+       "        ...,\n",
+       "        [3.3031e-02, 1.5079e-01, 4.4694e-01, 3.6924e-01],\n",
+       "        [3.2987e-02, 1.5053e-01, 4.4679e-01, 3.6969e-01],\n",
+       "        [3.2943e-02, 1.5028e-01, 4.4664e-01, 3.7014e-01]],\n",
+       "       grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 5
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:44:00.140406</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m6ee51dd236\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m504a38f8f0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m504a38f8f0\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m504a38f8f0\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m504a38f8f0\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m504a38f8f0\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m504a38f8f0\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pda8fc0d375)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pda8fc0d375)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pda8fc0d375)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pda8fc0d375)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pda8fc0d375\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAGdCAYAAADAAnMpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAABqfklEQVR4nO3dd5wU9f3H8df263t0jiqg9KKAIlUBpYhKUzFWjJqgsRCiseWXqEnEaKLGGOw1GjVKERGRojTpRamC0o5ycBxwe33r/P6Yuz1OQLnj7ubK+/l47GNnvzN789kRb983853v12YYhoGIiIiIRexWFyAiIiK1m8KIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiKafVBZyOSCTCgQMHSExMxGazWV2OiIiInAbDMMjOzqZJkybY7ac+/1EtwsiBAwdo3ry51WWIiIhIGezdu5dmzZqdcn21CCOJiYmA+WGSkpIsrkZEREROR1ZWFs2bN49+j59KtQgjRZdmkpKSFEZERESqmZ/rYqEOrCIiImIphRERERGxlMKIiIiIWKpa9BkRERGpbgzDIBQKEQ6HrS6lwjgcDpxO5xkPu6EwIiIiUs4CgQBpaWnk5eVZXUqFi4uLIyUlBbfbXeafoTAiIiJSjiKRCLt27cLhcNCkSRPcbneNHLDTMAwCgQCHDx9m165dnHPOOT85sNlPURgREREpR4FAgEgkQvPmzYmLi7O6nAoVGxuLy+Viz549BAIBYmJiyvRz1IFVRESkApT1LEF1Ux6fs3YcKREREamyFEZERETEUgojIiIiYimFEREREQEgPT2dX//617Ro0QKPx0Pjxo0ZOnQoy5cvr9D91u67aQ58A/P+D656C+LrWV2NiIiIpcaOHUswGOTtt9+mdevWHDp0iAULFnD06NEK3W/tDSOGATPvgoMb4bPfwtVvQw28D1xERKxnGAb5wcofiTXW5TjtMU4yMzNZunQpCxcu5KKLLgKgZcuWXHDBBRVZIlCbw4jNBle+AK8Nhi2fwMaPoevVVlclIiI1UH4wTMc/flHp+93y+FDi3Kf3VZ+QkEBCQgIzZszgwgsvxOPxVHB1xWp3n5Em58JFD5jLs38HWQcsLUdERMQqTqeTt956i7fffpvk5GT69u3Lww8/zIYNGyp83zbDMIwK38sZysrKwuv14vP5SEpKKt8fHg7B65fCgXXQZjDcMFWXa0REpMwKCgrYtWsXrVq1io5IWh0u0xQpKChgyZIlLF++nDlz5rBq1Spee+01xo8ff8rtf/x5i5zu97fCCMDh7fByfwgVwIhn4Pxby38fIiJSK/zUl3N1dNtttzFv3jz27Nlz0vXlEUZq92WaIg3awuA/mctz/w+O7rS2HhERkSqiY8eO5ObmVug+FEaK9JoAZ/WHYC5MvwMilX86TURExCpHjhxh0KBBvPvuu2zYsIFdu3bx0Ucf8dRTTzFy5MgK3XftvZvmx+x2GDUFpvSBvStg+QvQ916rqxIREakUCQkJ9OrVi2effZYdO3YQDAZp3rw5t99+Ow8//HCF7lt9Rn5s3X/M8UccbvjVQmjUqWL3JyIiNUpN6zPyc9RnpCKcdwO0HQbhAEz/NYQCVlckIiJSoymM/JjNBlc8D7F1zdFZF/3N6opERERqNIWRk0lsBJc/ay4vfQb2VOwEQSIiIrWZwsipdBoF514PRgSm/QoKfFZXJCIiUiMpjPyU4X+DOmeBLxU+u8/qakRERGokhZGf4kmEMa+CzQEb/wcbPrK6IhERkRpHYeTnNL8ALvq9ufzZJDh28uFwRUREpGwURk5H//ug2QXgz4LpEzQ6q4iISDlSGDkdDieMeQXciZC6DJY+a3VFIiIiNYbCyOmq2woue9pcXjgZ9q21th4REZFyNn78eGw22wmPYcOGVeh+FUZKo9u10GkMREIw7Tbw51hdkYiISLkaNmwYaWlpJR7vv/9+he5TE+WVhs0Glz8De1fB0Z0w50EY+YLVVYmIiJQbj8dD48aNK3WfCiOlFVsHxrwMb10O6/8DrS+GLldZXZWIiFRlhgHBvMrfryvO/EO6ilMYKYuz+sGA+2Dx0/DpRGjaHeq2troqERGpqoJ58ESTyt/vwwfAHV+qt8yaNYuEhIQSbQ888AD/93//V56VlaAwUlYXPQi7l0Lqcvj4l/DLueB0W12ViIjIGRk4cCAvvvhiiba6detW6D4VRsrK4YSxr8FL/eDAeljwGAz9q9VViYhIVeSKM89SWLHfUoqPj+fss8+ugGJOTWHkTHibwcgp8MEvYPkL0GoAtB1qdVUiIlLV2GylvlxSm+jW3jPV/jLoNcFcnj4BsixIviIiIuXE7/dz8ODBEo+MjIwK3afCSHm49HFo3BXyj8LU2zVcvIiIVFtz5swhJSWlxKNfv34Vuk+FkfLg9MDVb4E7AfYsNe+yERERqWbeeustDMM44fHdd99V6H4VRspLvTZweeGcNYv+Zt5pIyIiIj9LYaQ8db0Gzr0ejAhMvQ1yK/Yam4iISE2gMFLeLnsa6reF7DQzkKj/iIiIyE9SGClv7ni45h3z3u6dX8Gip6yuSEREpEpTGKkIDTvA5c+Zy4v+Bj8ssLQcERGRqqxMYWTKlCm0atWKmJgYevTowZIlS35y+/fee49u3boRFxdHSkoKt9xyC0eOHClTwdVGt3HQ4xbAMC/X+PZZXZGIiEiVVOow8uGHHzJx4kQeeeQR1q9fT//+/Rk+fDipqakn3X7p0qXcdNNN3HrrrWzevJmPPvqI1atXc9ttt51x8VXesCchpZs5/shHt0A4aHVFIiIiVU6pw8gzzzzDrbfeym233UaHDh147rnnaN68+QmT6hRZsWIFZ511Fvfccw+tWrWiX79+/PrXv2bNmjVnXHyV54qBq98Gjxf2rYJ5f7K6IhERkSqnVGEkEAiwdu1ahgwZUqJ9yJAhLFu27KTv6dOnD/v27WP27NkYhsGhQ4f4+OOPGTFixCn34/f7ycrKKvGotuq2gtEvmcsr/g1bPrG2HhERkSqmVGEkIyODcDhMo0aNSrQ3atSIgwcPnvQ9ffr04b333mPcuHG43W4aN25McnIy//rXv065n8mTJ+P1eqOP5s2bl6bMqqf9ZdDnHnP5k7vgyA5r6xEREalCytSB1WazlXhtGMYJbUW2bNnCPffcwx//+EfWrl3LnDlz2LVrFxMmTDjlz3/ooYfw+XzRx969e8tSZtUy+I/Qog/4s+B/N0Ew3+qKREREShg/fjyjRo2q9P06S7Nx/fr1cTgcJ5wFSU9PP+FsSZHJkyfTt29f7r//fgC6du1KfHw8/fv35y9/+QspKSknvMfj8eDxeEpTWtXncMFVb8DL/eHQJvjsdzDy3+a00iIiIrVYqc6MuN1uevTowbx580q0z5s3jz59+pz0PXl5edjtJXfjcDgA84xKrZKUAmNfB5sdvnkP1rxudUUiIiKWK9WZEYBJkyZx44030rNnT3r37s0rr7xCampq9LLLQw89xP79+3nnnXcAuOKKK7j99tt58cUXGTp0KGlpaUycOJELLriAJk2alO+nqQ5aXwSXPArz/gifPwiNOkOLC62uSkREKpBhGOSHKv/yfKwz9pTdKKqSUoeRcePGceTIER5//HHS0tLo3Lkzs2fPpmXLlgCkpaWVGHNk/PjxZGdn88ILL/C73/2O5ORkBg0axN/+9rfy+xTVTZ974MB62Dzd7D/yq0XmWRMREamR8kP59Ppvr0rf78rrVhLniqv0/ZZWqcMIwJ133smdd9550nVvvfXWCW133303d999d1l2VTPZbHDlC3B4G6RvMQPJ+M/A6ba6MhERkUpXpjAi5cCTAOPehVcHmgOizXkALn/W6qpERKQCxDpjWXndSkv2Wx0ojFipXhsY8xr89xpY8wY0OQ+632R1VSIiUs5sNlu1uFxiFc3aa7W2Q2DgI+byZ7+DfWutrUdERKSSKYxUBf1/B+1GQDgAH94AOelWVyQiIlJpFEaqArvdnL+m3jmQfQA+Gq8ZfkVEpNK99dZbzJgxo9L3qzBSVcQkwbX/BXci7Pka5jxkdUUiIiKVQmGkKmnQFsa8DNhg9auwWiO0iohIzacwUtW0HwGD/mAuf/572LXE2npEREQqmMJIVdT/d9D5KoiE4H83wtFdVlckIiJSYRRGqiKbDUa+AE26Q/4xeP9aKMiyuioREZEKoTBSVblizQ6tiSlw+DuYdjtEwlZXJSIiUu4URqqypBS49j1wxsD2ObDgcasrEhERKXcKI1Vd0x4w8t/m8tfPwbcfWFqOiIhIeVMYqQ66XGV2agWYeQ/sW2NtPSIiIuVIYaS6GPiHwiHj/fDBdZC51+qKREREyoXCSHVht8OYV6BRZ8g5BP8dpztsRESkXI0fPx6bzYbNZsPpdNKiRQvuuOMOjh07VqH7VRipTjwJ8IsPIKERpG8unMMmZHVVIiJSgwwbNoy0tDR2797Na6+9xqeffsqdd95ZoftUGKlukpvDdR+CKw52LIDP7wfDsLoqERGpITweD40bN6ZZs2YMGTKEcePGMXfu3Ardp7NCf7pUjCbnwdjX4IPrYc0bULcN9LnL6qpEROQUDMPAyM+v9P3aYmOx2Wxlfv/OnTuZM2cOLperHKs6kcJIddV+BAz9K3zxMMz9A9RpCR2usLoqERE5CSM/n23de1T6ftutW4stLq5U75k1axYJCQmEw2EKCgoAeOaZZyqivChdpqnOLrwTzr8NMGDq7bB/rdUViYhINTdw4EC++eYbVq5cyd13383QoUO5++67K3SfOjNSndlsMOxvcGwP/DAP/nst3L4AkltYXZmIiBzHFhtLu3WV/wejLTa21O+Jj4/n7LPPBuD5559n4MCBPPbYY/z5z38u7/KiFEaqO4cTrnoD3hwOhzaZt/z+cg7EeK2uTERECtlstlJfLqkq/vSnPzF8+HDuuOMOmjRpUiH70GWamiAmybzDJqExpG+B/90EoYDVVYmISA1w8cUX06lTJ5544okK24fCSE3hbVZ4y2887FwIM+/SLb8iIlIuJk2axKuvvsrevRUz+rfCSE3S5Fy45m2wOWDDh7DgMasrEhGRauStt95ixowZJ7Rfd911+P1+mjdvXiH7VRipac65FK78l7m89FlY+Yq19YiIiPwMhZGa6LzrYdAfzOXPfw9bPrG2HhERkZ+gMFJT9b8Pev6S6Bgke5ZZXZGIiMhJKYzUVDYbXPZ3aDcCwn54/1pI/87qqkRERE6gMFKT2R1w1evQvBcU+ODdsZB1wOqqRERESlAYqelcsfCLD6DeOZC1D969CvIzra5KRKTGM2rJ8Arl8TkVRmqDuLpww1RIaATpm+H9X0Agz+qqRERqpKIZbvPyasfv2aLPeSYz+2o4+NqiTkszkLw5AlKXwUfj4dr3wFGx00KLiNQ2DoeD5ORk0tPTAYiLi8Nms1lcVfkzDIO8vDzS09NJTk7G4XCU+WcpjNQmjbvAdR/Af0bD91/AjDth9Mtg1wkyEZHy1LhxY4BoIKnJkpOTo5+3rBRGapuWfeCad+CD62Dj/yC2Dgz/m3n3jYiIlAubzUZKSgoNGzYkGAxaXU6FcblcZ3RGpIjCSG3UdiiMegmm3Q6rXjb7lFz8oNVViYjUOA6Ho1y+rGs6nZ+vrbpeDZc9bS4vnAwrX7a2HhERqbUURmqzC26Hix82lz//PXz7obX1iIhIraQwUttd9HvoNcFcnnEHbJtjbT0iIlLrKIzUdjYbDJ0MXceBEYaPboZdi62uSkREahGFETFv7R35b2g7HEIF8N9rIXWl1VWJiEgtoTAiJocLrn4LWg+EYC68dxXsX2d1VSIiUgsojEgxVwxc+19o2Rf8WebgaAc3WV2ViIjUcAojUpI7Dq77EJr2hIJMeGckHN5udVUiIlKDKYzIiTyJ5jw2jbtCXga8cyUc3Wl1VSIiUkMpjMjJxSbDjTOgQQfIToO3R0LmXqurEhGRGkhhRE4tvh7c9AnUbQO+VPMMSVaa1VWJiEgNozAiPy2xEdw8E5JbmJdq3hkJOYetrkpERGoQhRH5ed5mcPOnkNgEMrbB25crkIiISLlRGJHTU+csGD8LElPg8HcKJCIiUm4URuT01WsD4z/7USBJt7oqERGp5hRGpHSigaRJYSC5QoFERETOiMKIlF69NoWXbBRIRETkzCmMSNn8OJC8pUs2IiJSNgojUnbHB5KMbQokIiJSJgojcmaKAklS0+JAkn3I6qpERKQaURiRM1evjTkOSVEgeXM4+PZZXZWIiFQTCiNSPorusvG2gKM74I3hcHSX1VWJiEg1oDAi5aduK/jl58Vz2bw5HA5vt7oqERGp4hRGpHx5m8EtnxfP9vvWZXBwk9VViYhIFaYwIuUvsZF5yaZxV8g9DG+NgP3rrK5KRESqKIURqRjx9cxOrc3Oh4JMc7bf1BVWVyUiIlVQmcLIlClTaNWqFTExMfTo0YMlS5b85PZ+v59HHnmEli1b4vF4aNOmDW+88UaZCpZqJDYZbpwOZ/UHfxb8ZzTsXGR1VSIiUsWUOox8+OGHTJw4kUceeYT169fTv39/hg8fTmpq6infc80117BgwQJef/11tm3bxvvvv0/79u3PqHCpJjyJcN3/oM1gCObBe1fDtjlWVyUiIlWIzTAMozRv6NWrF927d+fFF1+MtnXo0IFRo0YxefLkE7afM2cO1157LTt37qRu3bplKjIrKwuv14vP5yMpKalMP0MsFvLDR7fAts/A5oBRL0K3cVZXJSIiFeh0v79LdWYkEAiwdu1ahgwZUqJ9yJAhLFu27KTvmTlzJj179uSpp56iadOmtG3blvvuu4/8/PxT7sfv95OVlVXiIdWc0wPXvA1drwUjDNN/BStesroqERGpApyl2TgjI4NwOEyjRo1KtDdq1IiDBw+e9D07d+5k6dKlxMTEMH36dDIyMrjzzjs5evToKfuNTJ48mccee6w0pUl14HCZZ0Ti6sKKKTDnAcg7AgMfBpvN6upERMQiZerAavvRF4dhGCe0FYlEIthsNt577z0uuOACLrvsMp555hneeuutU54deeihh/D5fNHH3r17y1KmVEV2Owx9Agb+wXy9+CmYfR9EItbWJSIililVGKlfvz4Oh+OEsyDp6eknnC0pkpKSQtOmTfF6vdG2Dh06YBgG+/adfP4Sj8dDUlJSiYfUIDYbXHQ/jPgHYIPVr8G02yAUsLoyERGxQKnCiNvtpkePHsybN69E+7x58+jTp89J39O3b18OHDhATk5OtG379u3Y7XaaNWtWhpKlxjj/NrjqdbC7YNNU+OAXEMi1uioREalkpb5MM2nSJF577TXeeOMNtm7dym9/+1tSU1OZMGECYF5iuemmm6LbX3fdddSrV49bbrmFLVu2sHjxYu6//35++ctfEhsbW36fRKqnzmPhug/AFQc/zId3RkHeUaurEhGRSlTqMDJu3Diee+45Hn/8cc4991wWL17M7NmzadmyJQBpaWklxhxJSEhg3rx5ZGZm0rNnT66//nquuOIKnn/++fL7FFK9nX0J3PQJxCTDvlXwxjDIVD8hEZHaotTjjFhB44zUEoe2wLtjIfsAJDSGGz6Gxl2srkpERMqoQsYZEalQjTrCbfPMGX9zDsIbw2HHV1ZXJSIiFUxhRKoWbzP45Rxo2Q8C2fDeVfDth1ZXJSIiFUhhRKqe2GS4cRp0GgORkDla65JnoOpfURQRkTJQGJGqyemBsa9D77vM1wseKxwcLWxtXSIiUu4URqTqstth6F9h2JNEB0f7300QPPW8RiIiUv0ojEjVd+EdcPWb4PDAd7Pg7SshN8PqqkREpJwojEj10Gk03DQDYrzmWCSvDYbD262uSkREyoHCiFQfLfvArfMguSUc2w2vXQI7F1pdlYiInCGFEaleGrSD27+E5r3A7zMHSVv7ttVViYjIGVAYkeonvj7cNBO6XG3e+vvpPTDvjxCJWF2ZiIiUgcKIVE+uGBjzKlz0oPn663/CRzdBIM/aukREpNQURqT6stlg4ENmKHG4Yeun8NZlkH3Q6spERKQUFEak+ut6jXnZJrYuHFgPrw6GgxutrkpERE6TwojUDC17w+0LoN45kLUPXh8KW2ZaXZWIiJwGhRGpOeq2Nmf9bX0xBHPhfzfCwifVsVVEpIpTGJGaJbYOXD8Vet1hvl44GT66Gfw51tYlIiKnpDAiNY/DCcOfhCtfALsLts6EN4bCsT1WVyYiIiehMCI1V/cbYfxnEN8QDm2CVwfC7qVWVyUiIj+iMCI1W4te8KuvIOVcyDsC74yE1a9bXZWIiBxHYURqPm8zuOVz6DzWHLH1s0kw67cQClhdmYiIoDAitYU7Dsa+DoP/BNhgzRvw9hWQlWZ1ZSIitZ7CiNQeNhv0nwS/+AA8Xti7Al65CPYss7oyEZFaTWFEap92w8x+JA07Qs4h8wzJihfBMKyuTESkVlIYkdqpXhu4bT50vsrsRzLnQZh2OwRyra5MRKTWURiR2ssdD2Nfg2FPgt0JGz+C1y6FIzusrkxEpFZRGJHazWaDC++Amz81xyNJ3wyvDIRtc6yuTESk1lAYEQFo2Qd+vRia9wK/D94fB1/+FSJhqysTEanxFEZEiiSlwM2z4IJfma8XPwXvjoGcw9bWJSJSwymMiBzP6YbLnobRr4ArDnYuhJf6aRh5EZEKpDAicjLdxsHtX0GD9pBz0Lz9d/HfIRKxujIRkRpHYUTkVBq2h9u/hG6/ACMCX/4Z3rsKcjOsrkxEpEZRGBH5Ke54GP0SjPw3OGNhxwJ4qT/sWW51ZSIiNYbCiMjpOO8G8yxJvXMg+wC8NQKWPqvLNiIi5UBhROR0NeoIv1oIXa4BIwzzHzVvAc49YnVlIiLVmsKISGl4EmDMK3DFP8Hhge/nwkt9YeciqysTEam2FEZESstmgx7j4fYFUL8tZKfBOyPNMyXhoNXViYhUOwojImXVuIt52abHeMAw+5C8MRSO7rS4MBGR6kVhRORMuOPNSzbXvAMxXti/Fl4aAN9+aHVlIiLVhsKISHnoOBImfA0t+kAgG6b/Cqb9CgqyrK5MRKTKUxgRKS/JzWH8LLj4YbDZYcOH8HJ/2LfW6spERKo0hRGR8mR3wMUPwC2fg7cFHNsNbwyBRU9DOGR1dSIiVZLNMAzD6iJ+TlZWFl6vF5/PR1JSktXliJye/EyY9VvYPM183ex8GP0y1GtjaVlSOxmGQSASIBgOEoqECBkh8/n4hxEiHAkTjJjbRIzSDepns9lw2Bw47A6cdidOmxOHzVx22B247K4Sr502Jy6HC5fdVUGfWqx2ut/fCiMiFckwYMP/YPZ94M8yZwIe+lfocYt5i7DISYQjYXJDueQEcsgJ5pz4fNxyXjCPgnABBaGC4udQAf6wn/xQPgXhAvwhPwXhAqs/1ik5bA48Do/5cHqIccTgdriJccTgcXqKlwu3iXXGEu+KJ84VR7wr3nw4zddxrjjinfEl1jvtTqs/Yq2lMCJSlWTuhRl3wO4l5utzhsCV/4LExtbWJRXOMAyyAlkcyT/CMf8xMgsyzWd/5smXCzLJDmZXSm1Ou7PE2Yrow2Y+2212bJw8NNtOEqYjRoSIESEYCRI2woQi5pmWorMwRculPeNypjwOD/GueBJcCSS5k0jyJJHkTiLRnVji9cmWE1wJ2G3q0VBWCiMiVU0kAitfhPmPQdgPsXXh8meh0yirK5MyKAoZB3MPkpGfQXpeOhn5GRzOP1zydd5hApFAmfbhsrtIdCeS4Eog3hVPojsx+lzUFueKI9YZS4wjhhhn4eO45VhHbPRsg8fhiQYOh81x0kBRGSJGJHo5KBgJ4g/78Yf85nPYHz2bc/zrQDhQ4oxPbjCX3GAueaE88zmYR26o8LlwXTBy5oMQ2m12Et2J1PHUIdmTTJ2YOtSNqUudGPN10XIdTx3zOaYOsc7YcjhKNYPCiEhVlb7VvO334Abzdddr4bKnzHFKpMoIR8Iczj9MWm4aB3IOlHhOy0njQO4B8kP5p/3zEl2J5hdYTHKJLzavx2u+LmqPScbr9pLoTsTtcFfgJ6z5guGgGUxCZjjJCeSQFcgyH/6sn132h/1l2m+MIyYaTOrE1KFeTD3qx9anQWwD6sfWp15svehyvCveslBYGRRGRKqyUAAWPWmO2mpEIKkZjJoCrS+yurJaJRgOsj9nP6nZqaRmpZZ4TstJI2T8/B1QdTx1aBDXIPrl0iDOfG4Y1zDaVj+2PjHOmEr4RFKe/GE/2YFsfH4fRwuOkunP5FjBMY4WHOVYwTGO+Y+Zz4WPo/6jhCKlu2su1hlbHFbiGlAvpl7031DRo2FcQ+rG1K2Wl4sURkSqg9SV5gBpx3abr3veCpc+Bp5ES8uqSQzD4EjBEXZk7uCHzB/Y7dsdDR1puWmEjfAp3+u0OWkU34iU+BSaJDQhJT7FfCSk0CS+CY3jGytkSJRhGOQGc6PBJLMgk6MFRzlScISM/IzoZbui17nB3NP+2U67k0ZxjWgY15BGcY3MR3zx68bxjakfW7/KddZVGBGpLvw5MO//YM0b5mtvCxj5L2h9saVlVTeGYXA4/zA7Mnew07eTHzJ/YGfmTnb4duDz+075vlhnLM0Tm9MyqWWJ5+aJzWkQ2wCH3VGJn0Jqk7xgHkfyj5BRUBxUMvIzOFJwJLpc9DD4+a9qGzbqx9Y/Iag0im9E47jGpCSk0DCuYaXeSq0wIlLd7FwIn9wNvlTzdY9bYMifdZbkJIKRILt8u/ju6HfRx7aj28gKnHz4fbvNTrOEZrRJbkMrbyvOSjqL5onNaZHUggaxDWr0NXup/oKRIEfyj3Aw9yCH8g6RnpfOodxDHMorfOQeIj0//bQuEdltdhrENoie5Wuc0Ng88xffhI71OtIgrkG51q4wIlId+bNh/qOw+jXztbe5eQtwm4GWlmWlvGAe249tZ+vRrdHg8cOxH056h4rdZqdFYgtae1vTJrkNbZLbcHby2bRMaqnLKVKjRYwIRwuOFoeTvPTo8qG8Q6TlpnEw9+BP3mH0575/ZtTZo8q1rtP9/q5aF5dEajtPIoz4hznx3id3QeYe+M8o6H4zDPkLxNTsMB6OhNnp28nGjI1sOLyBTRmb+CHzh5P264h3xdOuTjs61OtAuzrtaF+3Pa2TW+NxeCyoXMRadps92uG1U71OJ92mKLCk5aSZd4UVPQpft0hsUclVF9OZEZGqyp8DCx6DVa+Yr5OawZXPw9mDra2rHGXkZ/Bt+rdszNjIxoyNbMrYRF4o74TtGsQ2iIaODvU60L5Oe5omNq2WdxeI1Ca6TCNSU+xaAjPvKr7jptt15pDycXUtLau0DMNgX84+1h5ay7pD61iXvo49WXtO2C7WGUunep3o0qALXet3pUv9LjSKb2RBxSJyphRGRGqSQC4seBxWvgwYEFcfhj0JXa6qsnPcRIwIP2T+UBw+Dq0jPT+9xDY2bJxd5+xo6OjSoAttvG10B4tIDaEwIlIT7V0FM++Bw1vN12dfCpc/A8nWXes93t7svaxIW8GKAytYdXAVmf7MEuuddied63Wme6Pu9GjUg3MbnkuSW/9Pi9RUCiMiNVUoAF8/B4ufhnAAXPEw6A/Q69dQyWcUjhUcY+XBlaw4sIIVaSvYn7O/xPpYZyznNjg3Gj461++seTtEahGFEZGa7vB2+PReSF1mvm7S3ezg2rhLhe0yHAmzMWMji/ctZun+pWw9urXEeqfNSdcGXbmwyYX0TulNp/qdKnWAJRGpWhRGRGqDSATWvQ3z/gR+H9id0OduuOgBcJXPGYjMgkyWHljKkn1L+PrA1yeMZnpOnXO4MOVCLky5kJ6NehLniiuX/YpI9acwIlKbZB+E2ffD1pnm6zqt4LK/wzmXlPpHGYbB9mPbWbRvEUv2LWFDxgYiRiS6PtGdSL8m/ejfrD+9m/Smfmz98voUIlLDKIyI1EbffQaf3QfZB8zXHa6EYZPB2+wn3xYxImw4vIEFqQuYv2c++3L2lVh/Tp1zGNB0AAOaDaBrg65VbjIuEamaFEZEait/Nix8Ela8CEbY7OB68YNw4R3gKO6/EYwEWXNwDQtSF/Bl6pcczj8cXedxeOid0pv+zfozoNkAGsc3tuKTiEg1pzAiUtsd2gyzJsHeFebrhh0JDn+K5S6DL3Z/wcK9C0tMLJfgSmBAswFc0vIS+jbpq74fInLGFEZEBCIRwt+8y7pFjzPbGWJefBw+R/Htv3Vj6jKw+UAGtxhMr5ReuB1uC4sVkZrmdL+/yzSxw5QpU2jVqhUxMTH06NGDJUuWnNb7vv76a5xOJ+eee25Zdisip8kwDDZlbOKptX9nyA9v88u6sXyclIjP4aBeKMx1uX7ePOtqvhw7n0f7PEr/Zv0VRETEMqXuhfbhhx8yceJEpkyZQt++fXn55ZcZPnw4W7ZsoUWLU48C6fP5uOmmmxg8eDCHDh06o6JF5OT2Ze/j0x2fMmvnLFKzU6Ptia5ELml5CcMTWnP+8ldxpm+C9H/Ati9h+NPQ/HwLqxaR2q7Ul2l69epF9+7defHFF6NtHTp0YNSoUUyePPmU77v22ms555xzcDgczJgxg2+++ea096nLNCKnlhfMY37qfGb8MIPVB1dH22McMVzc/GKGtxpOv6b9is98hEOw+jX48i8QyDbbuv0CLnkUEtVRVUTKz+l+f5fqzEggEGDt2rU8+OCDJdqHDBnCsmXLTvm+N998kx07dvDuu+/yl7/85Wf34/f78fv90ddZWVk/sbVI7WMYBuvS1zHjhxnM3T2XvFAeYE481yulF1e2uZLBLQafvBOqwwkXToBOo83J9755F759H7Z+CgPuN++6cXoq+ROJSG1WqjCSkZFBOBymUaOS03k3atSIgwcPnvQ933//PQ8++CBLlizB6Ty93U2ePJnHHnusNKWJ1AoZ+RlM/34603+Yzt7svdH25onNGdlmJFe2uZKUhJTT+2GJjWDUv6HnL+Hz38P+NTD/T7DuHXNG4LZDKuhTiIiUVKaRi2w/mrLcMIwT2gDC4TDXXXcdjz32GG3btj3tn//QQw8xadKk6OusrCyaN29ellJFqj3DMFh1cBX/2/Y/vkz9kpARAiDOGcfQs4Yy8uyRdG/Y/aT/D56WZj3g1nmw4QNzWPmjO+C/V8M5Q2DoZKh/djl+GhGRE5UqjNSvXx+Hw3HCWZD09PQTzpYAZGdns2bNGtavX89dd90FQCQSwTAMnE4nc+fOZdCgQSe8z+Px4PHoNLHUbj6/j09++ISPtn/E7qzd0fauDbpyddurGdJySPmNBWK3w7nXQfvLzdmAV7wI38+FHV+Zl20G3A8x6q8lIhWjVGHE7XbTo0cP5s2bx+jRo6Pt8+bNY+TIkSdsn5SUxMaNG0u0TZkyhS+//JKPP/6YVq1albFskZprw+ENfLjtQ77Y/QX+sNl3Ks4Zx+WtL+fqdlfTvm77itt5TBIM+TN0vxm+eMgMJMueN/uUDHwYzrvJ7HMiIlKOSv1bZdKkSdx444307NmT3r1788orr5CamsqECRMA8xLL/v37eeedd7Db7XTu3LnE+xs2bEhMTMwJ7SK1WTASZMGeBfxn63/YcHhDtL1dnXZc0+4aRrQeQbwrvvIKqn82XP8RbP8C5jxkXrqZ9VtY+QoM+UuZJuATETmVUoeRcePGceTIER5//HHS0tLo3Lkzs2fPpmXLlgCkpaWRmpr6Mz9FRMC8FPPx9o95/7v3OZRnjr/jsrsY3mo417S7hq71u5a9L0h5aDsUWg+ENW/Aoifh8FZ4byy0GWSGkkadrKtNRGoMDQcvYoGdvp28t+U9Zu6YSUG4ADCHZr+23bVc3e5q6sfWt7jCk8g/Bov/DitfhkgQbHY470YY+Ih5Z46IyI9obhqRKmh9+npe3/g6i/Ytira1q9OOGzrewGWtLqseQ7If3QnzH4Utn5iv3QnQdyL0/g24NbmeiBRTGBGpIgzDYMn+Jby+8XXWpa8DzMHJLm5+MTd2vJGejXpaeymmrFJXwBcPw/615uukpjDo/6DrNWB3/PR7RaRWUBgRsVgoEmLO7jm8sekNvj/2PWD2B7myzZWM7zSes7xnWVtgeYhEYPM080yJr3AQtoad4JI/meOUVMeQJVILnWq8sDOlMCJiEX/Yz7Tvp/H25rfZn7MfMG/NHdduHDd0vIGGcQ0trrACBAtg5Yuw5Fnw+8y2Fn3g0seg+QXW1iYip+TfuQvfjBn4Pv2Ulv/5D+5mTcv15yuMiFQyf9jP1O1TeX3j66TnpwNmp9QbOtzANe2uwevxWlxhJcg7CkufhVWvQMjsmEu7ETD4j9CwAsdHEZHTFvb5yJo9m8wZMyj4tngogQYTJ1J/wq/LdV8KIyKV5GQhpHF8Y27pdAujzxlNrDPW4got4NsPCyfDN++BETHvvOl2HQx8CLzNrK5OpNYxQiFyli7FN+MTchYswAgGzRUOBwn9+uEdPZqEQQOxu8u3E73CiEgFK7oc89rG10jPM0NIo7hG3N7ldkafM7p63BlT0Q5vM2cG/m6W+drhgQtuh/6/g7i61tYmUgsUbNsevQwTzsiItnvatsU7ejTey0fgbNCgwvavMCJSQYKRINO2T+OVja8ohJyuvavNTq57lpqvPUnQ+y5z3hvNeSNSrkJHj5I1axaZM2bg37I12u6oW5eky0eQPGoUng4dKuUuPoURkXIWMSJ8sfsL/rX+X+zNNu8caRjXkNu73M6Yc8YohPwcw4Af5sP8x+BQ4ZxVsXWgzz1wwa/Ak2BtfSLVmBEIkL1okXkZZtEiCJmze+NykXjxxXhHjyKhf39sLlel1qUwIlKOlh1YxnNrn2PrUfOvjLoxdflV119xVdur8Dg0w3SpRCKwZTosfBIytpttcfWh32/h/FvBVQv72IiUgWEYFGzegm/GDLJmzSKcmRldF9O5M95Ro0gacRnOOnUsq1FhRKQcbM7YzLPrnmVl2koA4l3xjO80nps63kScS6ONnpFIGDZ+ZIaSY7vMtoTGZn+SHjeDUyFP5GRChw/jm/kpvhnT8X//Q7Td2aABSVdeYV6GOeccCysspjAicgZSs1L557p/MnfPXMAcrGxcu3Hc3vV26sao42W5Cgfh2/dh0VPFA6clNYMB98F5N4Cjck8ri1RFRiBA9sKF+KZNJ2fJEgiHAbC53SRecgne0aOI790bm7PU899WKIURkTLICmTxyrev8N537xGKhLBh4/LWl/Ob835D04TyHQxIfiQUgPXvwOJ/QPYBsy25JVz0AHQdB46q9UtWpDIUbN1K5rTpZH36aYnLMLHnnot39GiShg/DUYW/FxVGREohFAkx7ftpvLD+BY75jwHQt0lfftvjt7Sr287i6mqZYAGsfROWPAO55t1K1DkL+k2Cbr8ApzoKS80WOnaMrE9nkTl9Ov6txXfDOBs0wDtqJN7Ro/G0bm1hhadPYUTkNC0/sJynVj/FD5nmtddW3lbc3/N++jfrb3FltVwgF1a/Bl8/D3mF4yN4m0Pfe+G8G8EVY219IuXICIXIWbIE37TpZC9cCIWDktlcLhIGDyZ5zGji+/Spcpdhfo7CiMjP2JO1h7+v/jsL9y0EwOvxcme3O7m63dW47OqnUGUEcmHtW/D1PyHnkNmWmGKGku43g1sdiaX68u/YQea0afhmziR8uHhQsphOnczLMBbfDXOmFEZETiE/lM+rG17lzc1vEoqEcNqcXNv+WiZ0m1A75o+proL5sO4/8PVzkGVOQEh8A+hzN/S8VeOUSLURzsoy54aZNp2CDcVzwzjq1sV7xRV4x4wmpl3NuDysMCLyI4Zh8NXer/jbqr9xINfsINm3aV9+f/7vae2tHtdfBQj54Zv/wtJnIDPVbIutC73vNAdPi1GglKrHCIfJXbHCvAwzfz6G32+ucDpJuOgikkePImHAAGzlPDeM1RRGRI6zN3svT656ksX7FgOQEp/CA+c/wKAWgyplSGSpAOEgbPgfLPkHHN1htnm8cMFt0GsCJDS0tj4RILBnD5nTp+P7ZCahtLRou+ecc/COGYP3istx1q9vYYUVS2FEBHMyuzc2vcHrG1/HH/bjtDsZ32k8t3e5XYOW1RThEGyeDoufhoxtZpvDY45R0uduqNvK2vqk1gnn5JL9xRdkTp9G/pq10Xa714t3xAi8o0cT07lTrfhDSGFEar1Vaat4bPljpGabp/J7pfTi4V4P65JMTRWJwLbZsPRZ2L/GbLPZodNo6DsRUrpaWp7UbEYkQt6aNfimTSdr7lyMvDxzhd1OfN++JI8ZTcKgQdg9tWtkYYURqbV8fh/PrH2Gad9PA6BhbEPuP/9+hp41tFb8JVLrGQbs+doMJT/ML25vM9ic/+asfqB/B1JOgvv3kzljBr4ZnxDcuzfa7j7rLPMyzMgrcTVqZGGF1lIYkVrHMAzm7ZnHEyuf4EjBEQDGtRvHxO4TSXDrTotaKW2DeUvw5mlgRMy2pj3MUNJuBNjt1tYn1VIkP5/s+fPJnDaNvBUrzQAM2OPjSbpsON7RY4g971z98YPCiNQyh3IP8deVf+WrvV8B5sBlj/Z+lO6NultcmVQJR3fB8hdg/bsQKjDb6p0DvX8D3a7VTMHyswzDoODbb8mcOo2szz8nkpMTXRd34YUkjxlN4qWXYo/Vv6XjKYxIrRAxIny8/WOeXfssOcEcnDYnt3a5ldu73o7HUbuuzcppyDkMK1+C1a9Cgc9si6tnjlNy/m2QWHtPp8vJhTIy8H0yk8xp0wjs2BFtdzVtinf0aLyjRuFupnmrTkVhRGq8tJw0/m/Z/7EybSUAXet35U99/kTbOm0trkyqPH+2OYDaihfBVzhWicMNXa4xz5Y06mhtfWKpoqHZM6dOJWfhIgiFALDFxpI0ZAjeMWOIO78nNl3m+1kKI1JjGYbBjB9m8NTqp8gJ5hDjiOGe7vdwXfvrcNgdVpcn1Uk4BN/NguX/hn2ritvbDDJDSZvB6uxai/h37cI3bTq+GTMIHT4cbY/p1pXksWNJuuwyHAnqf1YaCiNSIx3OO8xjyx9j0b5FAHRr0I2/9vsrLZNaWlyZVHt7V5mhZOvM4s6uDdqboaTLNZqYr4aK5OWR9cVcMqd+XGJMEEedOnhHjiR57Bg855xjYYXVm8KI1Dhzds3hLyv/gs/vw2V3cdd5d3Fzx5t1NkTK17E9sPJlWPcOBLLNtrj6Zp+SnrdAYmNr65MzVqIz6uzZRHJzzRV2O/H9+5E8diyJF19c44Zmt4LCiNQYmQWZ/HnFn5m7Zy4AHep24K/9/so5dfTXilSgAp/Zr2TlS+ArHD/C7oKOI6HXr6HZ+bqEU82Ejhwp7Iw6lcAPx3VGbdGC5DFj8I4eVavHBKkICiNSI6xIW8HDSx7mcP5hnDYnv+r6K27rehsuu8vq0qS2CIdg6yfm2ZK9K4vbU7rBBb+GzmN1CacKM0IhcpYuxTd1GtlffVXcGTUmhqShQ/GOHUPc+edrTJAKojAi1VowHORf3/yLtza9hYFBK28rJvefTKd6nawuTWqzA9/Aqldh40cQLpx1NbYu9LjZvD04ubml5UmxwJ49ZE6dZnZGTU+Ptsd07UrymDEkjbgMR2KihRXWDgojUm3t9u3mgSUPsOXIFgCubns1959/P7FODSYkVUTuEVj3Nqx+HbL2mW02O7QfYZ4t0ZDzlojk55P1xRf4pk4jb/XqaLujTh28V16Jd+wYYtrq1v/KpDAi1U7RLbuTV00mP5SP1+Plsd6PMbjlYKtLEzm5cAi2f25ewtm9pLi9YUezw2vXa8Cjv74rkmEYFGzcSObHU8n67LOSnVH79SV57FUkDlRnVKsojEi14vP7+POKP/PF7i8AuKDxBTzR7wkaxaszmVQTh7aYI7t++wEEC2dsdSdAl6ug5y/NPiZSbkJHj+KbORPf1Kn4v/8h2u5q3pzksWPwjhqFq7HufLKawohUG5syNvG7hb/jQO4BnDYnvznvN9zS6RbdsivVU34mfPNfWPMGHPm+uL1JdzOUdB4D7njLyqvOjHCY3KVLySzqjBoMAmDzeEgcOoTksVdpZNQqRmFEqjzDMHj/u/d5es3ThCIhmiU046kBT9GlQRerSxM5c4YBu5fC2jdhy0yImF+ceJLMyfl63KJh509TIDWVzGnT8E2fQejQoWh7TJcuJI8dQ9KIEeqMWkUpjEiVlhPI4U/L/hQdO+SSFpfweN/HSXTrF4rUQDmH4Zv3YO1bcGxXcXvzC82B1DqO0u3BPxLJzyd77lwyp04jb1XxUP2O5GSSrryC5LFXEdNOnVGrOoURqbK2Hd3G7xb9jj1Ze3DanPyu5++4vsP1us9far5IBHYthDVvwnefgRE222PrQLfroPuN0LCDpSVayTAMCjZtKu6MmpNjrrDZiO/Xj+SxY0gYNAi7OqNWGwojUuUYhsG076cxedVk/GE/jeMb8/eL/k63BurYJ7VQ9kFY/x9Y+3bxCK8ATXvAeTeag6nF1I7fd6Fjx8iaOZPMqdPwb98ebXc1a4Z3zGiSR4/GlZJiYYVSVgojUqX4w37+suIvzPhhBgD9m/bniX5PkByTbGldIpaLhOGHBea4JdvnQMQcIRRXnHn55rwboGWfGjduiREOk7tsGZkfTyX7yy9LdkYdMoTksWOIu+ACdUat5hRGpMo4mHuQiV9NZPORzdhtdu4+725+2fmX2G36JSNSQk66eWvw+v9ARvEZAuq2MUNJt19AUvU+QxDYu7e4M+rBg9H2mE6dSL5qrNkZVb/nawyFEakSVh9czX2L7uNowVG8Hi9PD3ia3k16W12WSNVmGLBvtTlz8ObpECjqO+GAcy41L+O0HQqO6jFHU6SggOx588j8eCp5K4vn93F4vSRdeSXJY8cQ0769hRVKRVEYEUsZhsF/v/svT69+mrARpn3d9jx78bM0S2xmdWki1Ys/B7bMgPXvQury4vb4BtDlavM24cZdq9xlHLMz6mYyp00la9ZnRLKzzRU2G/F9+pB81VgSBg9WZ9QaTmFELFMQKuDPK/7MzB0zAbis1WU82udRzS0jcqYyvjcv4XzzPuQWT/5Ggw5mKOl6DSQ1sa4+CjujfjqLzKlT8W/bFm13NW1a3Bm1ibU1SuVRGBFLHMw9yL1f3cuWI1tw2BxM6jGJGzveqNt2RcpTOAg7voRv34fvZhfPIIwNWl9s9i3pcHmljfRqdkZdTua0qeTMX4BR1BnV7S7ujNqrlzqj1kIKI1LpNh7eyD1f3UNGfgZ1PHV4+qKn6ZXSy+qyRGq2/EzzMs63H5S8jOOKh45XmmdMzuoPFTC9QmDfPnzTppM5fTqhtLRoe0zHjnivGot3xAgcXm+571eqD4URqVRzds3hD1//AX/Yz9nJZ/PC4BdomtDU6rJEapeju2DD/8wzJseP9JrUtLh/yRkOqhbx+8meN5/MqR+Tt3xFtN3u9eK94gqzM2qH2jtwm5SkMCKVwjAMXvr2JaZ8OwWAAc0G8NSAp4h3aSIwEcsYBuxdZYaSzdOgwFe8rmEncybhzmOhTsvT/pEFW7eS+fFUfLNmEfEV/jybjfjevfGOHUPiJZdg93jK+YNIdacwIhWuIFTAH7/+I5/v/hyAmzrexKQekzTbrkhVEiwwB1P79gP4YX7xhH0AzS4wg0mn0ZDQ8IS3hn0+fLMKO6Nu2RptdzZJIXn0GLyjR+NupjOgcmoKI1KhMvIzuPfLe9mQsQGnzckfLvwDY9uOtbosEfkpeUdh60zY+LE5ozCFv/5tdmh1EXS5CqPdCPK+/Y7MqdPInjsXIxAwN3G5SLhkMMljryK+94XYHPqjQ36ewohUmB+O/cAdC+7gYO5BktxJPHvxs1yQcoHVZYlIaWSlmQOqbfoY9q8lmGsnc1ccvt3xBHOKg4anXTuSx44l6YrLcdapY2HBUh2d7ve3sxJrkhpg9cHV3PvlvWQHszkr6SxeGPwCLZNO/7qziFQRSSkYPW4j29eGzK//Q+7KtdETJXZXhKSW+SS3NYjpUx9b57qQoHGCpOIojMhp+3zX5zyy9BGCkSDnNTyP5wc+r4nuRKqhgu3b8U2dim/mp4SPHYu2x11wAcmXXEBi/TTs2z4BXyps+sh8uBOh3TDoOBLOvgRcCidSfnSZRn6WYRi8tfktnln7DACXtryUJ/o9QYwzxuLKROR0hXNyyPpsNplTp1KwYUO03dmwId7Ro0keMxp3y+POchbdkbNlBmz5BLL2F69zJ5hz43QcCWdfCu64yvsgUq2oz4iUi3AkzN9W/433v3sfgBs63MB9Pe/THTMi1YBhGOSvWUPmx1PJ+uILjIICc4XTSeLAgXjHjiGhXz9szp85SR6JwP61xcHEt7d4nSse2g4xg8k5Qypt1FepHhRG5IwVhAp4YPEDfLn3SwDu73k/N3W6yeKqROTnBNPT8c34BN/UqQT27Im2u9u0IXnsWLwjr8RZr17ZfrhhwP51sGW6GUwyU4vXOWPNWYU7jTKDiSfxzD6IVHsKI3JGfH4fdy24i28Of4PL7uKJ/k8w7KxhVpclIqdgBIPkLFpE5sdTyVmyBMJhAOxxcSReNpzksWOJPffc8p0nyjDgwPriMybHdhevc7jNeXLaXw7thp90HBOp+RRGpMwO5x3m1/N/zffHvifRncjzA5+nZ+OeVpclIifh37mTzKlT8X0yk3BGRrQ9tnt385bcYUOxx1fCpRPDgLRvzVCy5RM4uuO4lTZo3gvajzAf9dpUfD1SJSiMSJnszd7Lr+b+in05+6gfW5+XLnmJdnXbWV2WiBwnkptL1pw5ZE6dRv66ddF2R716eEeNJHnsWDytW1tXoGHA4W3w3Sz47jM4sK7k+oYdi4NJyrmgWb1rLIURKbXvj33Pr+f9msP5h2mW0IxXLn2F5knNrS5LRCjsjPrNN2ROnUr27M+J5OWZKxwOEgYMIPmqsSQMGIDN5bK20JPx7YNtn5vhZPdSiISK1yU1g/aXmZdzWvYBRxWsX8pMYURK5dvD33Ln/DvJCmRxdvLZvHLpKzSIa2B1WSK1XujIEXwzPiFz2jQCO4ovfbhbtsQ7dizekSNxNapG/THyj8H382Drp/DDAgjmFq+LSTY7wLYdBmcPhliN+FrdKYzIaVt2YBkTv5pIfiifbg268e/B/8br8VpdlkitZYRC5Cxdim/qVLK/Wggh80yCLSaGpKFDSb5qLLE9e5ZvZ1QrBPNh5yL47lPzzEnekeJ1Nge0uNAcz6TtMKjfVpdzqiGFETkt8/bM4/eLf08oEqJPkz48e/GzxLk0gJGIFQJ79pA5bTq+6dMJpadH22O6djU7o464DEdCgoUVVqBI2Bxkbfsc2P4FHN5acn2ds8xQ0nYotOwLTo8lZUrpVGgYmTJlCk8//TRpaWl06tSJ5557jv79+59022nTpvHiiy/yzTff4Pf76dSpE48++ihDhw4t9w8jpfPZzs94ZOkjhI0wQ88ayuR+k3Hpeq1IpYrk55M9dy6ZH08lb/XqaLsjORnvyCvxjh1LTNu2FlZokWO7YftcM5zsXgLhQPE6dwK0GWiGk3OG6LbhKqzCwsiHH37IjTfeyJQpU+jbty8vv/wyr732Glu2bKFFixYnbD9x4kSaNGnCwIEDSU5O5s033+Tvf/87K1eu5LzzzivXDyOn75MfPuH/vv4/DAxGthnJY30e06iqIpXEMAwKvv2WzGnTyZo9m0hOjrnCZiO+Xz+Sx44lcdBAbG63tYVWFf4c2LnQDCbfz4WcQyXXN+1hDkt/9iXQtDvod1mVUWFhpFevXnTv3p0XX3wx2tahQwdGjRrF5MmTT+tndOrUiXHjxvHHP/7xtLZXGClfH2//mMeXP46BwdVtr+YPF/4Bu81udVkiNV7o8GF8M2eSOW16ic6orqZN8Y4dQ/Lo0bhSUiyssBqIRCDtG/NSzvY55vLxYpKhzSAzmJw9GBIbW1CkFDnd7+9SzdobCARYu3YtDz74YIn2IUOGsGzZstP6GZFIhOzsbOrWrXvKbfx+P36/P/o6KyurNGXKT3j/u/d5YuUTAFzX/joevODB6t8JTqQKMwIBshctwjdtOjmLF0dHRjU7ow7BO3oMcRecj82uPwhOi91unv1o2h0GPgRZaebZkh0LYMdCKMiEzdPMB0CjLmYoOfsSc+A1p842VUWlCiMZGRmEw2EaNWpUor1Ro0YcPHjwtH7GP/7xD3Jzc7nmmmtOuc3kyZN57LHHSlOanIa3N7/N39f8HYDxncYzqcckBRGRClKwbTu+adPwffop4aNHo+2x556Ld8xokoYPx5GouVvOWFIK9LjZfIRDsH8N/DDffBxYD4c2mo+vnzP7mrS6CM4uPHNS5yyrq5dCpQojRX78BWYYxml9qb3//vs8+uijfPLJJzRseOoORw899BCTJk2Kvs7KyqJ5cw2+dSZe2/ga/1z3TwBu73I7d593t4KISDkL+3xkzZ5N5tRpFGzaFG13NKhP8siReEePxtNGQ6FXGIfTvB24xYUw6A+Qcxh2flUYThZAXgZs+8x8ANQ7G9oMNufQOasvxGhIA6uUKozUr18fh8NxwlmQ9PT0E86W/NiHH37IrbfeykcffcQll1zyk9t6PB48Ht22VV5e3fAqz69/HoA7z72TCV0nKIiIlBMjHCZ3xQp8U6eRPX8+RqDwrg+nk8SBA/GOGU1C//7YnGX620/OREID6HqN+YhE4OCG4mCydyUc+cF8rHrZHNekaQ8zmLS+GJqdr0s6lahMHVh79OjBlClTom0dO3Zk5MiRp+zA+v777/PLX/6S999/n1GjRpW6SHVgLbs3N73JM2ufAeDe7vdyW5fbLK5IpGYIpKaSOX06vhmfEEpLi7Z72rYleewYkq64AudP9I0TixX4zDt0ih5Hd5Zc74o3h6cvCieNOmnQtTKokA6sAJMmTeLGG2+kZ8+e9O7dm1deeYXU1FQmTJgAmJdY9u/fzzvvvAOYQeSmm27in//8JxdeeGH0rEpsbCxer06JVaT/bPlPNIjcde5dCiIiZyiSl0fW3Ln4pk4rMSaIPSkJ7+Uj8I4ZS0ynjjrzWB3EeKHjSPMBkJlqjgZbFE7yMuCHeeYDIL6B2d+kKJwkq+tAeSrzoGdPPfUUaWlpdO7cmWeffZYBAwYAMH78eHbv3s3ChQsBuPjii1m0aNEJP+Pmm2/mrbfeOq396cxI6R1/18yEbhP4zbm/sbgikerJMAzy139D5rSpZH8+h0hu4VwqNhvxffqQPHYMCYMHY9el5ZojEoH0LcXBZM/XEMwruU3dNtD6IjirH7TsB4k/3VWhttJw8LXYR9s/4vHljwNwa+dbubf7vfpLTaSUgofS8c38BN+06QR27Yq2u1q0IHnMaHOCOo0JUjuEArBvdXE42b8WjHDJbeq3NYPJWf3NZ40KCyiM1FrTv5/OH5eZg8nd3PFmftfzdwoiIqfJCATI/mohvmnTyFmyxPwLGbDFxpoT1I0dUzMmqJMzU+CD3V/D7qXmUPUHNwI/+iqt364wnPSr1eFEYaQW+nTHpzyy9BEMDK7vcD0PnP+AfmmK/AzDMPBv3UrmjBlkzfyUcGZmdF1s9+4kjx1D4tBhOBLirStSqra8o5C6/LhwsgmFE5PCSC0zf898frfod0SMCOPajeORXo8oiIj8hNDhw/g+nYVvxgz827dH250NG+IdORLvmNF4WrWysEKptk43nLTsDS16m+OiJLeskXfrKIzUIssPLOc3C35DMBJk9NmjebTPo5prRuQkIn4/OV99hW/6DHKWLi0emt3tJmHwIJJHjSK+b1+NCSLlK+8o7FlWGE6WmiPC/lhiEzOUtOxjPjfsWCMm/FMYqSW+Pfwtt8+9nfxQPpe2vJSnBzyt2XdFjmMYBgUbNpiXYWZ/TsTni66L7dYN7+hR5tDsGmpAKkveUUhdAanLzOcD6yESKrmNxwvNLyg+e9KkO7hirKn3DCiM1ALbj21n/JzxZAey6dOkD/8a9C/cDo0YKAIQPHgQ38xP8c2YQWBn8YBWzsaNzcswI0fiaa3LMFIFBPLMO3RSl5uPvasgkFNyG4fbDCRFZ0+aXwCxdayptxQURmq4vVl7uWnOTWTkZ9CtQTdeufQV4lxxVpclYqlIfj7Z8xfgmz6d3OXLofDXmy0mhsQhl5I8ahRxvXphc+jsoVRh4RAc2lR89mTPcshNP3G7+m2h2QXQ/HzzuUG7KndpR2GkBkvPS+emz29if85+2tZpyxtD38Dr0SlmqZ0MwyB/3Toyp08vOSgZENezJ97Ro0gcOhRHQoKFVYqcAcMwh6s/Ppwc3XHidp4kaNq9MKBcAM16Wn72RGGkhsosyGT8nPHs8O2gRWIL3h7+NvVj61tdlkilC+zbj++TGfg+mUkwNTXa7mrWzLwMM2okbs32LTVV7hFzILZ9q8zLOvvXQTD3xO1OOHvSHuyVd4ODwkgNlBfM47a5t7ExYyMN4xryzvB3aJrQ1OqyRCpNJDeXrC/m4psxg7xVq6Lt9rg4EocNI3n0KGJ79MBWib9sRaqEcMgcwn7fKti72gwqP3f2pFlPc6bi+Ir7g1ZhpIYJRULc+9W9LN63GK/Hy9vD3qZNchuryxKpcEY4TN7Klfg+mUnW3LkY+fnmCpuN+N4X4h01isRLLsEepz5TIiWc7tmTOmeZoaTnrXBW33ItocJm7ZXKZxgGf1nxFxbvW4zH4eGFQS8oiEiNV7BtG76ZM8n6dBah9OLOe+6zzsI7ahTekVdqbhiRnxJfD9oNMx9w3NmT1bBvDexfAxnb4dhu89F+hGWlKoxUAy99+xJTv5+K3WbnqQFPcW7Dc60uSaRCBA+lkzVrFr6ZM/Fv2xZtt3u9JA0fRvKoUcR066bRhUXKwuGElK7m4/xbzbb8THOck/1roEUfy0pTGKnipm6fypRvpwDwSK9HGNRikMUViZSvSG4uWfPmkTVzJrnLVxTfjutykXDxxXhHXkn8gAHY3RpDR6TcxSZDm4Hmw0IKI1XY4n2L+fOKPwNwe5fbuabdNRZXJFI+jFCI3OUr8M2cSfb8+cX9QIDYHj3wXnEFScOG4khOtq5IEak0CiNV1MbDG7lv0X2EjTBXtrmSu8+72+qSRM5I0ey4vk9m4pv9GeHDGdF17pYtSRp5Jd4rrtDtuCK1kMJIFZSalcpvFvyG/FA+fZv05dE+j+oauVRbwbQ0fJ/OIuvTmfi//yHa7qhTh6TLLsN75RXEdO2qf+MitZjCSBWTWZDJHfPv4Jj/GB3qduCZi5/BZXdZXZZIqYRzcsj+Yi6+mTPN8UCK+oG43SQMGoT3yitJ6N8Pm0v/tkVEYaRKCYaDTFw4kdTsVJrEN2HKJVM034xUG5FAgNwlS/DNmkXOl19h+P3RdXHnn4935JXmsOyJiRZWKSJVkcJIFWEYBo8uf5S1h9YS74rnhcEvaJh3qfKMcJi81avJ+uwzsr6YSyQrK7rO3bo13iuvxHvF5biaaqRgETk1hZEq4rWNrzFzx0wcNgf/uOgfnFPnHKtLEjkpwzAo2LSZrFmzyJo9m9Dhw9F1zoYNSRoxgqQRI4jp1FH9QETktCiMVAFf7P6C59c/D8BDFzxE36blOxyvSHnw79xlBpDPPiOwZ0+03e71kjRkCEmXX05czx7YHFVrCnMRqfoURiy24fAGHln6CAA3dLiBce3HWVyRSLHgwYNkzf6crFmzKNiyJdpui4khcdAgki6/nIR+fbFpQDIROQMKIxY6kHOAe768B3/Yz4BmA7iv531WlyRCODOTrC/mkvXZZ+StXh29Ewank/i+ffBefjmJgwZhj4+3tlARqTEURiySG8zlri/v4kjBEdrVacdTA57CYdfpbbFGJC+P7K++ImvWZ+QsXQrBYHRdbM8eZgAZOhRnnToWVikiNZXCiAUiRoRHlj7C98e+p35sfV4Y/ALxLv2VKZUrUlBAzqLFZH3+OTkLF2IUFETXedq3x3v5CJIuuwxXkyYWVikitYHCiAVe+vYlFqQuwGV38dzA52gc39jqkqSWiPj95C5dStbsz8n+6iuMvLzoOlfz5iRdPgLviBF4zj7bwipFpLZRGKlk8/fM58VvXwTgj73/SLcG3SyuSGo6IxAg5+uvyZ4zh+wFXxLJyYmuczVpQuLwYSQNv0y34oqIZRRGKtH2Y9t5eOnDgHnnzKizR1lbkNRYRjBI7ooVZH0+h+z580sMRuZs1IikYcNIumy45oQRkSqhVoeRP8zYyNzNh7DZwG6zYbfZjlvmR6/NZdtx6+w2cNhtuBz2wocNp8OO22HH6bBF21wOO2FyWZD1MPmRfJp4uhCXM4pXFu/A7bAT43IUPux4nA48rsK2Esvms8dpx+mwW33opAoyQiHyVq0i6/PPyZ47j7DPF13naFCfpKFmAIk991xsdv0bEpGqo1aHEV9+iPRs/89veMbCxLZ4A2d8OpFAXbZtH8W28A8//7ZTcNpt0WAS4zIDS7zbSazbQbzbQZzHaT67ncS5HcR7Cp/dTuI8DuIK15342qGgU80YoRB5a9aQNWeOGUCOHo2uc9StS+LQISQNH05cDw1GJiJVl80wigYRqLqysrLwer34fD6SkpLK7efuO5aHLz+IYZhDKUQMo/BhDnl9sueibQwgEjEIRQyC4QihsPkcDBuEIhECoYi5LhRhybHX2Jo7G6cthosT/0wcTaPbBkIR/KEwBcEIBcEwBaEw/mCEguPa/CHz51UGt9NOgsdJgsdJYkzRs4vEmOLXCTGFbT+xjUJNxTECAXJXriR77lyy5y8gfOxYdJ0jOZnESy8l6bLhxJ1/PjZnrf57Q0Qsdrrf37X6N1WzOnE0q+BhEz754RO27psNwN8vfpLBLQaX6edEIgb+UHE4KQouRYElPxAmNxAiLxAmzx8iNxAmL/r6uHWFz7n+otfmcihiZtJAKMLRUICjuYEz+tyxLkdhaHGSWBhgkmJcJMW48Ma58Ma6SIpxkhRbuFz4bLa7cDsVZo4XKSgg9+uvzQDy5VdEsrOj6xxeLwmXDCZp2HDiL+yFzeWysFIRkdKr1WGkon139Dv+vOLPANzR7Y4yBxEAu91GrNtBrLtiTrUHQhHyAmaIyfWHyC4IkV0QJKdwOafwdfbxr/3BwufitvxgGID8YJj8YJjDZbwMFutyFIeTWGeJwJIUc1xwOT7EFG4X63LUiE6ZkdxcchYvJmvuXHIWLS5xG66jfn0SLxlM0tChOgMiItWefoNVEJ/fx8SvJuIP++nftD8Tuk2wuqSf5HbacTvdJMed2c8JhiPHhZmSgSarIEhWfhBffpCs/BC+wmVffpCsAvM5uyAEFIeZg1kFP7PHE7kcNryxbpLjXNSJc5VYTo4zl5ML25IL2+rEVY0QE87OJuerr8iaO5fcJUsx/MVhzpmSQuKll5A0ZAix552nPiAiUmMojFSAiBHh4aUPsz9nP00TmjK5/2Tsttpx2cHlsBd+4Zdt4rRwxCCn4ORBJfq6xLpQidfhiEEwbJCR4ycjp3RnZdwOO96i0PKjsFIUYOrEmZeZkmPd1Ik3n8/0bFXo6FFyvvzSDCDLV5QYit3VvDlJQ4eQOGQIMV26WB6WREQqgsJIBXhlwyss3rcYj8PDsxc/i9fjtbqkasNht5l9SuJK3+/BMAzyAmF8+UEy84Jk5gfM5xLLAY7lBfEVth0rbAuGDQLhCIez/aW+tORx2k8421Inzl0cWn4UaurEuYnPSMP/1Vdkf/kl+evXQ6S4g7K7TRsSh1xK0pAheNq3VwARkRpPYaScfb3/a6Z8MwWAP1z4BzrU62BxRbWHzWYj3uMk3uOkSXLsab+vKMRk5gc5lhuIhpljeebysdwAmUUBJ69o2Qw3ocKOxYey/BzKOnWIsRkRzsncR++0TfRO20zL7EMl1h9s0ILdnS4g/bw+2M9qZYaZXBd1tqZTJ9681FSnsOOv7lQSkZpGYaQc7c/ZzwNLHsDA4Kq2V2mE1Wri+BDTtJQhJjcQjgaYY4UBJTM/SGZugKzsPGI3rydl4ypaf7+OpNziQchCNjsb67dhReNOrEjpSHpcXXPFrgjs2vGT+02McVInruiSkflcJ86NN9a8xFQnvmjZHT1DkxTj1BkWEamyFEbKiT/sZ9LCSfj8PjrX68xDFzxkdUlSwWw2W3RMluaFbWGfj5zFi8le8CW5S5YQyc2Nbm+PiyN+wAASBg7EuLAvSc4YOuUFGZNX8hJS0dmX6HLhWZqizr1FnYNTj56kqFNw2G14Y4svISXHFnfcLe7EW/IyU3IV6dQrIjWfwkg5eXLVk2w5soVkTzLPXPwMbkfZOnBK9RPYs4echQvJXriQvNVrIBSKrnM2aEDCoEEkXjKYuF69sLuL/13UAVrWO/39hMKRwjMwQXz5AY7lHncp6bi+MMXL5nN+MEw4YnA0t2j8mNyf3VcRt9NeokNvcWD5UV+YWPOMTFHfGY0TIyKloTBSDmbvnM3H2z/Gho2/9f8bKQkpVpckFcgIBMhbu5achYvIWbSIwO7dJda7z25D4qDBJF4ymJjOncttHhinw069BA/1Ejylel9BMFwcWHILg0xRn5i84y4vFS3nH9ep9zT6w5xMvNtRosNuyTMuReHluCAT5yYp1oXDrrMwIrWRwsgZ2u3bzWPLHwPgV11/RZ+mfSyuSCpCKCODnEWLyVm0iNyvvy5x+QWnk7iePUm46CISBw3E3bKldYWeRNFEjI2SYk77PUX9YY6/TFTyUlLRcnHn3qKzNIaBOXheIJ/9mfmnvU+bDZJiXKfoC+Mu7Mhb3BemKOAkeNQfRqS6Uxg5A/6wn/sW3UdeKI+ejXpyR7c7rC5JyokRiVCweQs5i8yzHwUbN5ZY76hXj4QBA0i46CLi+/bBkZhoUaUV4/j+MKWZMiESMcgqCJYMMIWXlE7VFyYzzxwYzzCIjhfDkbyf31khp91W4tJR0Z1HRR15T/ZIKpyOQHcmiVQNCiNn4OnVT7Pt2DbqxtTlbwP+hsOuETGrs7DPR+7y5eQsWULO4sWED2eUWB/TqRMJF11EwsCLienUqdwuv9QkdrstOujdWcSf9vuC4UiJW6eP5R4XZH58Jua4S0r+wgkpM3ICZOSUfj6lBI+zRDg5WWj58XLRtAMep/5/FykvCiNlNGf3HD7c9iE2bEzuN5mGcQ2tLklKyQiFyN+wkdylS8n5eikFGzeVGHzMHhdHfN8+JFx8MfH9++NqqP/GFcXlsNMg0UODxNL3hynqC1M0sN2PLykdP2pv0XNuwJxDKccfIscfKtXlpCIxLnuJyR1PDC0nOyNTs+ZPEikvCiNlkJqVyqPLHgXgti63qZ9INRI8cICcpUvJXfo1uStWEMnKKrHefXYbEvr2I+GiAcT27Fni7hepemJcDlK8saR4T398GDDPxGT/eNqBkyz/eCoCX545WaRhUDhjduk790LR/EkuEmNcJBbOaJ1YNMt14ezWJV7HFm9T9KxLTFKTKIyUUiAc4L5F95EbzKV7w+7cee6dVpckPyGSn0/e6tXRABLYubPEervXS3zv3iT060t83764UnQnVG3gctipG++mbnzpw2YkYpDtD500vJScUyl0YrjJN0ftNedPKtulpSKxLocZTmJd0dBSFFaSfhRkEj2ukq9jXCR6nNh195JUEQojpfSPNf9g69GtJHuS+duAv+G06xBWJUYwSP7GTeStXEHuipXkr1+PETjuF77dTmy3bsT360tCv37mrbea/VZKwV44gJw31hUd7O50HT9/UtEs1dkFweis1iWeT7E+r/ASU9HM1umlnEvpeIkeZ4kgkxjjJCHGRYLHUdiB2UW8xww9J10ufNZZGjlT+iYthYV7F/Lf7/4LwBP9nqBxfGNrCxKMSAT/tm3kLl9B7soV5K9eQySv5J0YziYpJPTtR3y/fsT3vhBHUpJF1UptV9b5k44XCkfI8YfIyi8OKNkF5pmY7ONf54fI9pcMNkXb+ENm36hsf4hsfwh8BWf0uWJcdhIKz77EHxdkEjwOEmKOW/YcH3Zchesc0XAT79bZmtpKYeQ0Hc47zB+//iMAN3e8mf7N+ltcUe1kGAaBXbujZz7yVq4knJlZYhtHcjJxvXoRf2Ev4npdiLvVWeosKDWG02GP3rFUVv5QODqtQDS4FJj9YXIKQuQWduzN9hcuFxy3fNzrQGGoKeo/k5FT9rM0RRI8xwcaJ3FuZ2GAc5jLbgdxnuLnhGi7k7jCQBPndhDvMZ89Trv+/68GFEZOQ8SI8MjSRzjmP0b7uu25p/s9VpdUa0TDx9o15K9ZQ+6KlYQOlZzx1h4XR+z5PYm/sDfxF/bC066dbrsV+QkepwNPgoP6pRzN98cCoUhxQDkuqJxyOVDclus3w1DR+nDEAIrvcDrEmQcbMMehOT6cRJ9/KuS4zfb4aBgqDjlxbicxLgWc8qYwchr+s+U/LE9bTowjhr8N+JvmnalARjiMf/t28lavIW/tWvLWrCF85EiJbWwuF7Hdu0fPfMR26YzN5bKoYpHay+2043a6qVOGjsDHMwwDf8i8wyl6VqYwqOQFzH4yuf7C54C5TZ7fXP7xujx/mBx/KHopKhQxyCq8RFVebDazA3Gsy0Gs20Gcu3g51mUGluJlR4nlmML1xcuOE7aNcTpq3eUqhZGf8d3R7/jnun8CcP/599Pa29riimoWIxAgf9Nm8tauIW/NGvLXrSeSnV1iG5vbTWy3bsT27EH8+ecT27079pjTH9pcRKo2m80WnbagtGPNnEooHCEvGC4OLdHwEiLHHybPHyI3cNxzIESuP1y4vmTIKVqXHzQ7DxsGhe3h0sw7WSoxLrsZao4LPEXhpUSQcTmILQo3TrsZZgqPZdF7Y5wOYt12PM7i4BPjclSpuaAURn5Cfiif3y/+PcFIkIHNB3J126utLqnaCx05Qv433xQ+viV/40aMgpKd5+zx8cR2705cz57E9exBTJcuGu9DRErF6bCT5LCTFFN+Z03DEYP8oBlOCgIR8oJmWCkoDCb5wTD5heElPxghPxAq3N5sjy4ft11BMFK4fZiCYPGgi2Y/nLLf+n063A47MS67GVzcDh65rANDOllzY4bCyE94evXT7PLtokFsAx7r85iuEZaSEQxS8N028r/9NhpAgvv2nbCdo06daPCI7dmTmHbtsDn1T1NEqhaHvXjOpooQKQw7xWElXBx+CoNMXiAcXc4/bn1eIIw/GKGg6P2F4aYgGC5uC4Sjl68AAuEIgXAkegkrGDYq5HOdDv3GP4UFqQv4aPtHAPy131+pE1OK2cJqIcMwCKWlkb9pU2H4+JaCTZsw/D/qhGaz4Tn7bGLP7UbsuecSe955uFu1UtATkVrPbi++9buiRCJm/5ySocV8tKqfUGH7/TkKIyeRnpceHe59fKfx9G7S29qCqhjDMAgdPEjB5s3kb9pEweYtFGzaRPjYsRO2tXu9xHbravb5OPdcYrt2rXEz3IqIVBd2u83sN+J2UJX+xFYY+RHDMPjjsj+S6c+kQ90O3HNe7b6N1zAMQocOUbDFDBz5mzdTsGnzCXe4AOB04jnnHGK7dDGDx7ndcJ91lm6zFRGRn6Qw8iMff/8xX+//GrfdzeT+k3E5as8to5H8fPzff0/Btm34t23Hv20bBdu3E/H5TtzY4cBz9tnEdO5ETKdOxHbujKddO+ye8ukJLyIitYfCyHH2Zu3l6dVPA3Bv93tpk9zG4ooqhhEKEdi7l8DOnSWCR2DPHvOetR9zOPC0bk1M587EdO5EbKdOeNq31+21IiJSLhRGCoUjYR75+hHyQ/n0bNSTGzreYHVJZyySl4d/5y4Cu3bi37GDwM5d+HfuILAnFYLBk77HUbcuMe3b4WnXHk+7tsS0a4e7TRvdWisiIhVGYaTQO1veYX36euKccfyl31+w26pHP4dIXh6BvfsI7k0lkLqXwN5Ugql78e/aSehA2infZ4uJwd26FTHntMXTrl00eDjr16/E6kVERMoYRqZMmcLTTz9NWloanTp14rnnnqN//1NPHLdo0SImTZrE5s2badKkCb///e+ZMGFCmYsub9uPbedf6/8FwIMXPEjThKYWV1QsUlBA6OBBggcPEkw7SHD//uOCx17CGRk/+X5H3bq4W7fC07qN+dymDZ7WrXGmpKhjqYiIVAmlDiMffvghEydOZMqUKfTt25eXX36Z4cOHs2XLFlq0aHHC9rt27eKyyy7j9ttv59133+Xrr7/mzjvvpEGDBowdO7ZcPsSZCIaDPLzkYYKRIBc1u4hRZ4+qlP0a4TDhY8cIHTlK+EgGoSNHCB48SCitMHgcTCOUdvCkt8v+mN3rxd28Oe4WzXE1M5/drVrhbt0aZ52qdPOWiIjIiWyGcbIei6fWq1cvunfvzosvvhht69ChA6NGjWLy5MknbP/AAw8wc+ZMtm7dGm2bMGEC3377LcuXLz+tfWZlZeH1evH5fCQlJZWm3J/1/LrneXXjqyR7kpk+cjr1Y0t3mcIwDIyCAsJZWUSysggXPszlbMJZPiJZWWboOHqEUMYRQkeOmCEjEvn5HQC22FhcjRvjSmmMMyUFd/MWZvAofHZ4vWX56CIiIhXqdL+/S3VmJBAIsHbtWh588MES7UOGDGHZsmUnfc/y5csZMmRIibahQ4fy+uuvEwwGcZ1ktlW/34//uJE7s7KySlPmadv4zvOE5r7MrRGDvo3aEtj0HAfCEYxwCMIRjEgYQiEiBX6M/HwiBQVECvIx8guIFBRE2043VJzAZsORnIyzfj0cdevhbNQQV+MUM3Q0bowrJQVX48bYvV6NUCoiIjVWqcJIRkYG4XCYRo0alWhv1KgRBw8ePOl7Dh48eNLtQ6EQGRkZpKSknPCeyZMn89hjj5WmtFIzDIMtn73H8G+LgsQyTjKaxulzOHAkJmL3JuFITMKRlIQ9yXx2JCXiqFPXDB316heGj7o469bVHCwiIlLrlemb8Md/pRuG8ZN/uZ9s+5O1F3nooYeYNGlS9HVWVhbNmzcvS6k/WdN5V01gZcr/uLjlYGLcsdgcTnDYsdkd5nPha3tMLPbYGGwxMdhjY7HHxmI7vi0uHnt8nM5eiIiIlEGpwkj9+vVxOBwnnAVJT08/4exHkcaNG590e6fTSb169U76Ho/Hg6cSRvJse/UttL36lgrfj4iIiJxaqe7tdLvd9OjRg3nz5pVonzdvHn369Dnpe3r37n3C9nPnzqVnz54n7S8iIiIitUupB5qYNGkSr732Gm+88QZbt27lt7/9LampqdFxQx566CFuuumm6PYTJkxgz549TJo0ia1bt/LGG2/w+uuvc99995XfpxAREZFqq9R9RsaNG8eRI0d4/PHHSUtLo3PnzsyePZuWLVsCkJaWRmpqanT7Vq1aMXv2bH7729/y73//myZNmvD8889XiTFGRERExHqlHmfEChU5zoiIiIhUjNP9/tZ44CIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiqVIPB2+FokFis7KyLK5ERERETlfR9/bPDfZeLcJIdnY2AM2bN7e4EhERESmt7OxsvF7vKddXi7lpIpEIBw4cIDExEZvNVm4/Nysri+bNm7N3717NeVPBdKwrh45z5dBxrhw6zpWnoo61YRhkZ2fTpEkT7PZT9wypFmdG7HY7zZo1q7Cfn5SUpH/olUTHunLoOFcOHefKoeNceSriWP/UGZEi6sAqIiIillIYEREREUvV6jDi8Xj405/+hMfjsbqUGk/HunLoOFcOHefKoeNceaw+1tWiA6uIiIjUXLX6zIiIiIhYT2FERERELKUwIiIiIpZSGBERERFL1eowMmXKFFq1akVMTAw9evRgyZIlVpdUbUyePJnzzz+fxMREGjZsyKhRo9i2bVuJbQzD4NFHH6VJkybExsZy8cUXs3nz5hLb+P1+7r77burXr098fDxXXnkl+/btq8yPUq1MnjwZm83GxIkTo206zuVn//793HDDDdSrV4+4uDjOPfdc1q5dG12vY33mQqEQf/jDH2jVqhWxsbG0bt2axx9/nEgkEt1Gx7lsFi9ezBVXXEGTJk2w2WzMmDGjxPryOq7Hjh3jxhtvxOv14vV6ufHGG8nMzDyz4o1a6oMPPjBcLpfx6quvGlu2bDHuvfdeIz4+3tizZ4/VpVULQ4cONd58801j06ZNxjfffGOMGDHCaNGihZGTkxPd5sknnzQSExONqVOnGhs3bjTGjRtnpKSkGFlZWdFtJkyYYDRt2tSYN2+esW7dOmPgwIFGt27djFAoZMXHqtJWrVplnHXWWUbXrl2Ne++9N9qu41w+jh49arRs2dIYP368sXLlSmPXrl3G/PnzjR9++CG6jY71mfvLX/5i1KtXz5g1a5axa9cu46OPPjISEhKM5557LrqNjnPZzJ4923jkkUeMqVOnGoAxffr0EuvL67gOGzbM6Ny5s7Fs2TJj2bJlRufOnY3LL7/8jGqvtWHkggsuMCZMmFCirX379saDDz5oUUXVW3p6ugEYixYtMgzDMCKRiNG4cWPjySefjG5TUFBgeL1e46WXXjIMwzAyMzMNl8tlfPDBB9Ft9u/fb9jtdmPOnDmV+wGquOzsbOOcc84x5s2bZ1x00UXRMKLjXH4eeOABo1+/fqdcr2NdPkaMGGH88pe/LNE2ZswY44YbbjAMQ8e5vPw4jJTXcd2yZYsBGCtWrIhus3z5cgMwvvvuuzLXWysv0wQCAdauXcuQIUNKtA8ZMoRly5ZZVFX15vP5AKhbty4Au3bt4uDBgyWOscfj4aKLLooe47Vr1xIMBkts06RJEzp37qz/Dj/ym9/8hhEjRnDJJZeUaNdxLj8zZ86kZ8+eXH311TRs2JDzzjuPV199Nbpex7p89OvXjwULFrB9+3YAvv32W5YuXcpll10G6DhXlPI6rsuXL8fr9dKrV6/oNhdeeCFer/eMjn21mCivvGVkZBAOh2nUqFGJ9kaNGnHw4EGLqqq+DMNg0qRJ9OvXj86dOwNEj+PJjvGePXui27jdburUqXPCNvrvUOyDDz5g3bp1rF69+oR1Os7lZ+fOnbz44otMmjSJhx9+mFWrVnHPPffg8Xi46aabdKzLyQMPPIDP56N9+/Y4HA7C4TB//etf+cUvfgHo33RFKa/jevDgQRo2bHjCz2/YsOEZHftaGUaK2Gy2Eq8NwzihTX7eXXfdxYYNG1i6dOkJ68pyjPXfodjevXu59957mTt3LjExMafcTsf5zEUiEXr27MkTTzwBwHnnncfmzZt58cUXuemmm6Lb6VifmQ8//JB3332X//73v3Tq1IlvvvmGiRMn0qRJE26++ebodjrOFaM8juvJtj/TY18rL9PUr18fh8NxQopLT08/ITXKT7v77ruZOXMmX331Fc2aNYu2N27cGOAnj3Hjxo0JBAIcO3bslNvUdmvXriU9PZ0ePXrgdDpxOp0sWrSI559/HqfTGT1OOs5nLiUlhY4dO5Zo69ChA6mpqYD+TZeX+++/nwcffJBrr72WLl26cOONN/Lb3/6WyZMnAzrOFaW8jmvjxo05dOjQCT//8OHDZ3Tsa2UYcbvd9OjRg3nz5pVonzdvHn369LGoqurFMAzuuusupk2bxpdffkmrVq1KrG/VqhWNGzcucYwDgQCLFi2KHuMePXrgcrlKbJOWlsamTZv036HQ4MGD2bhxI99880300bNnT66//nq++eYbWrdureNcTvr27XvC7enbt2+nZcuWgP5Nl5e8vDzs9pJfPQ6HI3prr45zxSiv49q7d298Ph+rVq2KbrNy5Up8Pt+ZHfsyd32t5opu7X399deNLVu2GBMnTjTi4+ON3bt3W11atXDHHXcYXq/XWLhwoZGWlhZ95OXlRbd58sknDa/Xa0ybNs3YuHGj8Ytf/OKkt5E1a9bMmD9/vrFu3Tpj0KBBtf72vJ9z/N00hqHjXF5WrVplOJ1O469//avx/fffG++9954RFxdnvPvuu9FtdKzP3M0332w0bdo0emvvtGnTjPr16xu///3vo9voOJdNdna2sX79emP9+vUGYDzzzDPG+vXro0NWlNdxHTZsmNG1a1dj+fLlxvLly40uXbro1t4z8e9//9to2bKl4Xa7je7du0dvS5WfB5z08eabb0a3iUQixp/+9CejcePGhsfjMQYMGGBs3LixxM/Jz8837rrrLqNu3bpGbGyscfnllxupqamV/Gmqlx+HER3n8vPpp58anTt3Njwej9G+fXvjlVdeKbFex/rMZWVlGffee6/RokULIyYmxmjdurXxyCOPGH6/P7qNjnPZfPXVVyf9vXzzzTcbhlF+x/XIkSPG9ddfbyQmJhqJiYnG9ddfbxw7duyMarcZhmGU/byKiIiIyJmplX1GREREpOpQGBERERFLKYyIiIiIpRRGRERExFIKIyIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRS/w+MYRa6yvoKgwAAAABJRU5ErkJggg==\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plots\n",
+    "plt.plot(result_np[:,0])\n",
+    "plt.plot(result_np[:,1])\n",
+    "plt.plot(result_np[:,2])\n",
+    "plt.plot(result_np[:,3])\n",
+    "\n",
+    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Runge-Kutta method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"a\": 0., \"g1\": 0., \"g2\": 0.}\n",
+    "\n",
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:44:02.789261</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m51db159c7b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m9e3223636c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m9e3223636c\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m9e3223636c\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m9e3223636c\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m9e3223636c\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m9e3223636c\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pb0046de939)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pb0046de939)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pb0046de939)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pb0046de939)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb0046de939\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test = ode_solver(1000)\n",
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plots\n",
+    "plt.plot(results_test_np[:,0])\n",
+    "plt.plot(results_test_np[:,1])\n",
+    "plt.plot(results_test_np[:,2])\n",
+    "plt.plot(results_test_np[:,3])\n",
+    "\n",
+    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(4.6512e-08, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0285, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1122, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.0951, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(1.9836e-09, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0915, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1701, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1532, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(2.2087e-09, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0937, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1618, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1882, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(1.7804e-09, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0976, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.1032, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1950, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(1.0666e-09, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0988, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(-0.0341, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1928, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(7.4269e-10, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0968, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0266, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1919, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(4.8762e-10, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0978, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.0765, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1933, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(3.1817e-10, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0982, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1189, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1947, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(1.9109e-10, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0986, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1549, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1956, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(1.3207e-10, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0989, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.1845, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1967, requires_grad=True)}\n",
+      "Epoch: 10\t Loss: tensor(8.2491e-11, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0992, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2096, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1975, requires_grad=True)}\n",
+      "Epoch: 11\t Loss: tensor(4.7386e-11, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0994, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2294, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1981, requires_grad=True)}\n",
+      "Epoch: 12\t Loss: tensor(2.6972e-11, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2457, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1986, requires_grad=True)}\n",
+      "Epoch: 13\t Loss: tensor(1.5624e-11, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2587, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1988, requires_grad=True)}\n",
+      "Epoch: 14\t Loss: tensor(9.4921e-12, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2688, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1991, requires_grad=True)}\n",
+      "Epoch: 15\t Loss: tensor(5.2422e-12, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2767, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1993, requires_grad=True)}\n",
+      "Epoch: 16\t Loss: tensor(3.0185e-12, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2827, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1995, requires_grad=True)}\n",
+      "Epoch: 17\t Loss: tensor(1.5602e-12, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2874, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1996, requires_grad=True)}\n",
+      "Epoch: 18\t Loss: tensor(8.0120e-13, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2909, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1997, requires_grad=True)}\n",
+      "Epoch: 19\t Loss: tensor(4.3072e-13, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
+      "tensor(0.2934, requires_grad=True), 'g2': Parameter containing:\n",
+      "tensor(0.1998, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver.fit_random_sample(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.01},\n",
+    "    max_epochs=20\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'a': 0.09994731843471527, 'g1': 0.2934265434741974, 'g2': 0.1998223513364792}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 10
+    }
+   ],
+   "source": [
+    "ode_solver.get_coeffs()\n",
+    "\n",
+    "# Coefficients differ by at most 0.01"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt = 10000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
+       "        [1.0000e-01, 8.9820e-01, 1.7957e-03, 8.9783e-07],\n",
+       "        [9.9999e-02, 8.9641e-01, 3.5860e-03, 3.5877e-06],\n",
+       "        ...,\n",
+       "        [5.3956e-03, 1.9795e-06, 1.2833e-04, 9.9447e-01],\n",
+       "        [5.3956e-03, 1.9776e-06, 1.2821e-04, 9.9447e-01],\n",
+       "        [5.3956e-03, 1.9757e-06, 1.2808e-04, 9.9447e-01]],\n",
+       "       grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 11
+    }
+   ],
+   "source": [
+    "results_test = ode_solver(10000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:56:22.458814</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m650a115eec\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.273255\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2000 -->\n      <g transform=\"translate(98.548255 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.210658\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4000 -->\n      <g transform=\"translate(163.485658 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.148061\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6000 -->\n      <g transform=\"translate(228.423061 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.085464\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8000 -->\n      <g transform=\"translate(293.360464 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.022866\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10000 -->\n      <g transform=\"translate(355.116616 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"254.492188\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m1d2143570a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"212.56315\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 216.362369)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"163.9103\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 167.709518)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"115.25745\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 119.056668)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"66.604599\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 70.403818)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"17.951749\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 21.750968)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p5a52821395)\" d=\"M 46.335852 236.889575 \nL 47.732006 237.003025 \nL 49.225567 237.350773 \nL 50.913939 237.975813 \nL 52.926999 238.966432 \nL 55.556963 240.525482 \nL 60.687018 243.893668 \nL 65.39498 246.857484 \nL 69.031475 248.883881 \nL 72.505626 250.566339 \nL 76.012245 252.017234 \nL 79.681209 253.292518 \nL 83.609921 254.419064 \nL 87.89579 255.413086 \nL 92.701158 256.293914 \nL 98.188368 257.067111 \nL 104.584703 257.737787 \nL 112.312254 258.31631 \nL 121.922989 258.803076 \nL 134.390971 259.200593 \nL 151.534445 259.510179 \nL 177.087313 259.730109 \nL 221.212278 259.858967 \nL 335.112483 259.90247 \nL 370.990398 259.903447 \nL 370.990398 259.903447 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p5a52821395)\" d=\"M 46.335852 42.27818 \nL 48.1541 65.273772 \nL 49.972347 85.522183 \nL 51.823063 103.682437 \nL 53.673779 119.704191 \nL 55.556963 134.112421 \nL 57.472617 147.078389 \nL 59.420739 158.756974 \nL 61.40133 169.286033 \nL 63.414389 178.7871 \nL 65.427449 187.238281 \nL 67.472977 194.889225 \nL 69.550974 201.81652 \nL 71.661439 208.087446 \nL 73.804374 213.761508 \nL 75.947308 218.819329 \nL 78.122711 223.396461 \nL 80.330583 227.533318 \nL 82.570923 231.266757 \nL 84.843732 234.630657 \nL 87.181479 237.696349 \nL 89.551694 240.443426 \nL 91.986846 242.931379 \nL 94.519405 245.202402 \nL 97.14937 247.26147 \nL 99.876741 249.11594 \nL 102.766455 250.810482 \nL 105.818513 252.340555 \nL 109.065383 253.718885 \nL 112.572003 254.964274 \nL 116.40331 256.085256 \nL 120.624241 257.083834 \nL 125.332203 257.964233 \nL 130.65707 258.729474 \nL 136.826123 259.386304 \nL 144.16405 259.937259 \nL 153.222817 260.385071 \nL 164.976487 260.731127 \nL 181.503056 260.978698 \nL 208.387141 261.133516 \nL 268.097083 261.205027 \nL 370.990398 261.215519 \nL 370.990398 261.215519 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p5a52821395)\" d=\"M 46.335852 261.216 \nL 47.926819 241.290474 \nL 49.485316 224.47411 \nL 51.043814 210.023759 \nL 52.569843 197.905818 \nL 54.063403 187.773174 \nL 55.524495 179.332411 \nL 56.953118 172.334873 \nL 58.349272 166.569481 \nL 59.712957 161.856549 \nL 61.044174 158.042749 \nL 62.310453 155.065458 \nL 63.544264 152.716183 \nL 64.713137 150.946432 \nL 65.849542 149.61289 \nL 66.953478 148.650879 \nL 68.024945 148.004455 \nL 69.096412 147.616936 \nL 70.167879 147.466212 \nL 71.271815 147.536963 \nL 72.440688 147.8391 \nL 73.706968 148.404269 \nL 75.103122 149.28316 \nL 76.629151 150.513515 \nL 78.349992 152.192339 \nL 80.330583 154.445647 \nL 82.63586 157.417719 \nL 85.428169 161.399606 \nL 88.999726 166.905787 \nL 94.714217 176.185306 \nL 103.188548 189.887655 \nL 108.058854 197.323758 \nL 112.377191 203.519862 \nL 116.435779 208.961153 \nL 120.364492 213.859236 \nL 124.195798 218.283265 \nL 127.994636 222.331224 \nL 131.761006 226.022223 \nL 135.527375 229.406201 \nL 139.358682 232.55035 \nL 143.222457 235.435349 \nL 147.183639 238.115782 \nL 151.242227 240.593126 \nL 155.430689 242.887989 \nL 159.749026 245.000612 \nL 164.262176 246.960201 \nL 169.002606 248.773619 \nL 173.970318 250.434915 \nL 179.262716 251.968125 \nL 184.91227 253.370483 \nL 190.983917 254.645952 \nL 197.575063 255.800589 \nL 204.815584 256.839417 \nL 212.835353 257.761407 \nL 221.861652 258.570682 \nL 232.186699 259.267984 \nL 244.297525 259.856328 \nL 258.90844 260.335468 \nL 277.350663 260.707517 \nL 302.286626 260.97416 \nL 340.534756 261.138706 \nL 370.990398 261.184842 \nL 370.990398 261.184842 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p5a52821395)\" d=\"M 46.335852 261.216 \nL 47.082632 261.102966 \nL 47.861881 260.755073 \nL 48.738536 260.103325 \nL 49.712597 259.081702 \nL 50.816533 257.579742 \nL 52.082812 255.453581 \nL 53.511435 252.599773 \nL 55.167339 248.773351 \nL 57.115461 243.678565 \nL 59.420739 236.991772 \nL 62.245516 228.080383 \nL 66.044354 215.301805 \nL 82.376111 159.48409 \nL 86.532105 146.535499 \nL 90.363411 135.311428 \nL 93.999906 125.329022 \nL 97.538994 116.25421 \nL 100.980677 108.032442 \nL 104.357422 100.532555 \nL 107.701698 93.640727 \nL 111.013505 87.320462 \nL 114.292844 81.533814 \nL 117.572183 76.191842 \nL 120.851522 71.268998 \nL 124.16333 66.696626 \nL 127.475137 62.499201 \nL 130.819413 58.614824 \nL 134.228627 54.994761 \nL 137.670309 51.66188 \nL 141.176929 48.572027 \nL 144.780955 45.69155 \nL 148.482387 43.017649 \nL 152.313694 40.526024 \nL 156.242407 38.235061 \nL 160.365932 36.08934 \nL 164.6518 34.110569 \nL 169.16495 32.273503 \nL 173.937849 30.573633 \nL 179.002966 29.008697 \nL 184.392771 27.577811 \nL 190.204668 26.26717 \nL 196.536065 25.071425 \nL 203.41943 24.000406 \nL 211.082043 23.037555 \nL 219.588843 22.195167 \nL 229.329453 21.458163 \nL 240.693499 20.828544 \nL 254.330354 20.306236 \nL 270.856923 19.900753 \nL 292.318734 19.599594 \nL 324.884842 19.390683 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_17\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_18\"/>\n    <g id=\"text_13\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_19\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_20\"/>\n    <g id=\"text_14\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_21\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_22\"/>\n    <g id=\"text_15\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_23\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_24\"/>\n    <g id=\"text_16\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p5a52821395\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plots\n",
+    "plt.plot(results_test_np[:,0])\n",
+    "plt.plot(results_test_np[:,1])\n",
+    "plt.plot(results_test_np[:,2])\n",
+    "plt.plot(results_test_np[:,3])\n",
+    "\n",
+    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.io\n",
+    "\n",
+    "scipy.io.savemat(\"SEIR_fitRandomSample_RK4.mat\", {\"x\": results_test_np})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/examples/ode/SEIR/SEIR_fitRandomSample_RK4.mat b/examples/ode/SEIR/SEIR_fitRandomSample_RK4.mat
new file mode 100644
index 0000000000000000000000000000000000000000..d7ce975326779b55eb046c6dba12abbf0ca29f00
GIT binary patch
literal 160184
zcmbSQ_g~F_^lxwNs8G=$A{nL5^N_Mi_R9F!g+jKBs3c`nw(JlxvMEGH<JN8Oz0)2j
z8uGnAe82y|_uj{Oobf#G*SYt;&+EL-dEePn7CB9^Gng=XjKS<Fi$=L_-r`~~Z_C=<
zt{ywL+8Av2*tOZy%)ox9%i7&88w@<Q*%-|B*k&+g&qjl>;|wgUY$jORh=j3Y##)H|
zKVISvvz0}cjoBd~CL`i<B9i^zWu*UCR~;rMCMA-^MQ_jl!$tlnLLomCk*$bAl7$?a
zB;=I>Ar~eHSv_9J(%*#q^0SZ!eG>V65VAqEkl()+VK0Pi5-H@)2q7O07jnuiA!lC|
z^5u&{);S|&=aWKSd`!ryM}&OBQ^;R-2szqK$R6v3T(d&Rx{HLY;w0p6_CmHMk$tR?
zT}(xB41|2XzmQXvge;H{vj3lCmTpPr=~c<>n4ipQDam~0b25K_oy@-@k~#T$GOs_A
z%%A*{xolrDe{)Obt^Xx+(cENKu}fyT@yVQEoXk!GlKGNcGC$}_V(*3|)-OupW64SU
z;(Zd|f0V=<t|oE)i6pi>ki@e#C$Xt>5~oj3V%rHxe84b?z0{J}@t=SzngncLC}58S
z0lU5u@bEAJzdkKs<pTm9>nh-(3j|!o0^VdQ;E$Rj|9^>`(U8bNIf<+jo5(vJCi128
ziG1pCBG28F$QAPw*^Ux<r;!Njm&mrA30zj1z;hB3`1I2RzJ4iz4<AY3F&h*3<(veT
zwM^hqgA>?TDuG)Y;`vlYJomhfXTA~73;g2Q#x0&Z=f<=Dgm`Yyjpw0a@jSXFj#ZN4
zI4&}d=bek=XZzx~c10YwPmbeE!#F-68^_v>-`Fel8%I6=#>wZu@#}rxc<=IWtis>e
zTmKsi#J_Q4)mN^G`^r)Gzw(B_uiW7Fl^vYEvhS#`d_h^nTfeYF`WJ3|_Juc{`NFX~
zzVOfaUs!ys$fov%pSOSJg&ChY<Jo663;E3JJwEfkIiGpcsLyPr^qH#~VtK0|mUHgM
z@<9Jsw%riR_I9ysY!J(}e?PH*(I=LP{=_a9Kk?mNpZM!M5smu9cN9MHhVLI)=G#XO
zy!DZr4}IjZ%Rch52_Jc#+DD$<9K*VT7*4ty!z;aGIAcW&n_9)Ni+T+EHGkmai63~|
zoeyk%_ygBDf8c}TKJd?eA9!Bfdp`T+Jx5=A&vAR-^V@mvIe5f-o-OsB+e_Z@!ME?Y
zDdZhbb$iFY_V4(?pm+SbBbp;pqxsnVXm;?9<__m*4z!478HH$euZ-g8cTwDSHi}i<
zqgcm2ij@XNas7|C{50t;ufF}3yZ684BlF*K>+rYiAoiAn^4{>r$TwVg><w3}e8bt}
z-tbF>H+;C_HBX3o&G|vEd6Ua)uBO*KTm3cPse8q>A7Al+3$J*B`zxL@<rUL_S8Uk)
zlDodV<e1AZdHc4PtTy!}hv~dzgVq-u^z8*Vg}z{Gj~Bdm>I=T3^MYero^#6A=bUu;
zIY(`M&KK>Tv&(?zY~1vWb7P;e=Y?mi<o1luOnSz08qavg_opm;|CDt?p0e|Xr+i}K
zQ;t-6%5mk9oc1b`g#nTLVPz!W923cVr6PGs{uBQ9=m|eR@`RTze8N9Wp0H2%W0p>R
z%wA!SxncKXcAEK^?+kp*tu2q(;>#o6bm0+S*z|~_=n-cqKjQL=hg|dOA(tP2$eGI@
z^1D$FIaKT+dt^m0?nSWJ{s?|QD}uM_MX+}J1Ah1Q0WZ4vfNM8B;O+E)fAo96TgvZq
z*^B$^c<eq$F1^o+BkuFs-h2Ek^&bDZb&sug-Q(TU?(u^G_c*scocrE~vq4ZeV@)_O
z7#q&(q{4Y??p@ybKtu=b@>Zw2yk74vFKWBPwqNe>u=96V-t`WDx4Ofz@^|<`(QS5p
za+}8;xy`-vZu94%x7qhs7~95&ardP#e!e-3H&7UB_6y_BrMKAq*)3N0y~S@9-ePCt
zTl~B8CZA8d$)m5_<aqa+ypnHnoAOQeEx#eE$u~Ic=nWpd_y$Lt++h1Z*I6jI&I_+z
z=YlQQdDW!rT&Z%MT`I0|-HU7N=68*o7GLA7!>)15pR2qr=_<Ee74fYiK1sw?uX1a}
z72f{x3b*@R;ay9vaL2GK?AaB{y-A_$eJzxww}tY_$)T*S7RpyEFSGHh%lz!vW#*-q
zIeGYHUeSGto0BiG_w`Gx<#CB0+g{>n>X*2@>LPo+zQ}`*U*u2D7kT}Ni>%OlfnTLu
z;59cdu*!}L{MqgT@727(qifG|{oC_=Kkz(nT5+DuMxEzhedqX7`Z*4|eU8`cKF5~R
z&#|iZIc}~$%c<|r^2^g_`P%BUqP=&P4@jQn?Kx-I?fx0wwEqmd&pN|92cO}?tsxxr
zIfU<=3*i`-5H7X~VKIdeHZ2b3rIEpW!aJD1EC}X*M!`JgcMt~(f;jhT5SwlbVjtTe
zE>jO;yPDJd=<R9NJ#m_YSDt1C^V57n{4}d&pW++$PO-)QQ=ByG6mQl$#mem`MLBqq
zw_H5Q#+y%y_UuW1sC<(5R-9mmS0~u;_z9L;euA6KPH^GBKu*gH<m7M>_YCC1S%KW7
z7s%2-0@ye%fM;J0;6v^K{9;l7x2Xm2gqq{*8+DxXP9EoRtB>=gvBz0b<~Z*w@aG?o
z{dteKKZ`B$=X1mSd34V)&PYARhi)I^F?)}3lfyB7Hdv&$`|<oZKOP<G$C_LHSYnDF
zcWL_ZpSq(g7ITzU&m3h_m!mw(`Y7+|ca$Gg_;U4YUp77A%llUOa_U%L9xdz3mx_E?
z{+SQ^`T4NiG9SJ$%7@J)d{~(4&3hhs^Du93u3F^H4@|wex%UWPzjuV!%saxC-G^EK
z?qMD@=P;Z7@#49+z1ZK$i_<#~@#wHad~?<zHtIacA8sAwO|uU2@XiC=d+PvK&pN>6
zo%^{hY(Hzx-p@{dJUR4^CwI^BWRLEB+!el$FU{Y_j(_*ETEt#%UbL4>#P)LK<2~H#
zyoX0h?_rPUyE*Z{-E66_o1@?C;`!@$ai7XAj{UHcFKyn*e*Jf{|JNOSefthh8oYy*
zlDG2)&+VLHyqy<id2qA02VWiS!K;h6vGs{<Y&vlpo7ZmTS?9O%A-k>owQUO<+}y(F
zXK!J>UU&ZZ(4BWLb7xyQcOLrIjR(5A@dzz9p7(7tpW3yVONVae8JU|n-e(i9wAjRQ
z6&pD@WFv>$ZsZGXu6*s5E5DoP%B^CqZ1dcOudQ`qEp-<T|FVIdc5Pq<qYYe^y`Gbg
zt>;wB^<4LT9qWXy<F$_KIJRdkTRmCJajVv{o9bFN`Lc$)cdg+X<2C#}Z#9dbSj}Ux
znh&(B;=)_2c>cmwTrRze{iFWlsqX)=j^2MPld+N&{8qAw)k<F0u!8SiU%|5TSFn%N
z3f72P&N1%G`LO<SUYfOxXC7b1^Jy9HXm#d@JI>s-)S1^RIdetqQr^F3DGwj9lv_)e
zaO$}w95-_bXa8NyJueos&8EeCX7FMb%UZ<80~WE#q(xlvb0I&DSjgvAFXXdY3ppZr
z0q6THVEu^;_;Aa7?zlUj{Z`CpGxho0lsJ#S9ht|kEa&lu=DA#acP?wLoXaj6b2&9>
z4$t+S!*$kkIJA8>uZx(?Q`gSsNjkH6UWOAN2z25PQ=E7}_bfi~Vis$;&*CV<S-h**
zk!M_R<Z*Kx*-F-t7sfhpz<vkL8SB6{O*8pz_)MO?dM5X1&*aaUGx+AI8GLd23=S8Y
z!NPabS#i&FUS~d?GwY}E^1IWxd(||4p)-w-W>4iU!Bcsw<5c#Sp2}}y?OFVgJ+HU2
z=aL_G>=9|lx^8w{Vr<7z6;t@p^(p*j*%U6&n!;L{w!AsWmUA3!d6}#&cYK}95#Ez|
z4^QUh-II9f+ey4-_aqLrn8c+m%=DP~*=A-Q##~tqzIhwGdkuJ<9(YqRvHum~56;92
z14vXiZMfx}4f`#y;jwBq{5#E>vxBTzFx#4Qm8`iZc_L3dIgw90PULR+iF`z0#e)K^
zIAf+2Uzf9DpF~Uc3b5oeGc7qr&XUCh6L>}71Wt9Bz{?aSa8J^BetmL0A9oth+xv~@
z9jW8^MDRFKZjWOL^>Mr|Yb+O>AIqDTjAdo*u`DdG;M-R%IQTycKCf@V&nm`n^_?+n
z?mC9g4j;oxjpls)i8)W-Zq72}%(=8<G^a$3=B$IGxqZ@THjx<3JL5)iZonv>?=*_5
zR7UZsEHj>c$&8Ixn6ak58S7S!WUKol+1-64zcC-lI=@Enxu_9r<TZkYQ%3MfnGw7;
z*_7vmnDT<fro2_xly8;|=eoPYd4}6?jxit3jvd3e<=rsReHg|Erw`-xO2c?vrU`pq
zHsSD9CR}G^!gh_u{PMXm+jtst{v=~QC2h=0g+^?B&WJ6R8?o&WBX+4X<gllP{By4%
zub5=Wh0=!XkusDAUKq+HD~IxHqoI7aX$VKW8p7WW4dITdLzw#w;j1|Yta8JELtPEn
z+T4I!f9vyySbe@3sLz)d==1%7`Yf#0W7$YOcHXDQpKSG*6!bVHYcTJ*KA6XC9L%y7
zgSowX5Vw6B#L~foc+9dvyu)x1Co~V_aZv;LweLW7nmv%a1`Oo)mAZWHi7tD4>he*0
zUB0TU%Yp(ORtnc)m+d;7MLN7hR)<?NwfXuDZC>N1&DNIMJWN8HN2Cs5yDJ0O!*u|^
z7(0L!{`Kd5$^E(OQhyHF(4S$^pa1^V;;bYs{&-158$_~&7XR(jWD;s}P^cz%x@z*S
z@tQ0xp~;WZG}!gJ23xvou&%WRYshNwkQ{ZkzoX6vcBpgQWOX)HR_D-SH6Hp%jX&*I
z;~g{A*lK_ptJSKq*lSgm^iyTsg{nMls45?8SK)$K6`m5J!ZE8=c(%C;xA!TF`g~>H
zdqbI*Zc}EbNy@xfS($f~_T#X~eq3|7AM@OP9HHNjP1}?>CRT|zoKa%^bxPbaR*5qt
zl{g_=ku$;-xn-{+>(5l=4LXYap+SL%e^B82rxn;{wE~xqQQ%Ms1$NDr=jr$4+1gW{
zZ5`!#`5<{d-Xh0|v2r}<oE#r@k>kHsa(qHTjz^Tpa>-L!zT+#)hZf87rs1-@u}6mY
zr^@h+Fd5F>EyF`*%J7kaGThc8&AYxxv;0MAez94ax3M%sO_~SSNU>V96c0Ep#bee=
z@rnsj94arx^(B(*^g@z9`%ALJ3Q4Xqm*ik6NuE<6!TOOBEOAtV|16bYu~8DND<Q$t
z^TgTju{dY@h_lsFaeizj&f_G+S(qor`<{sL_@iPhxlD|!M~iW;lo-E${SOsu|G`4}
zAHv`D0UP`9TcZy-v44@f^)GsK|H3}87m<5<0mEK2r}yCV;T}Yp^&qpb8!Ca_@UZH}
zkD4xAKHr5k_Fb6u;}4dF{XyWoKPdk98}pz3M*XVaxTE|VM?QAKYg;F7=yjqZwFA?S
zbRfmN1AEJVVal0b7;X0p`1uoC?*7Eb#Xn&o`xEg|Kj7u|1B(a!z}(b!xOunZ-q?0X
z)wJR0r8XEkwxPPW74c77Az0UnX029?6|~^;p%&<mX+c6&GeRykWB;sX9R1gX$d^s%
z+Smk_K}~2+Z^ZRujc~JR#M0IVY`EKiGs_xKrrdzp-|A7czaD|+^;lX{hiO;quwZ^2
zj>y(Q81o(0yT2oD#CPnds0A+9V%XeTSjg03MNAFu?yiB7Sq;urRm0|LHN+NHqeh_`
z^<S!>bg&9@##P~IV<kr4t%Pu8B?7f7;gVW`)yFH~X<LD(UFDE|S&sc%%AsUZj+nAC
zoC+<&frVx8?^lLr38nbsQ;Jn6MP+9R{GOL!>Xs4=9aaLp%3@euFUB_KVtmyo#)PyY
z#GNR@&gn&9i6R((EX2qIg_vVmh@c+@XpAg?t9t?Zh85stbv}-T<zx4%e0UGcM?`)e
zS}x>a-oiYjspi2wH5Z1ba`DF@7Y(u^9+v|{zZ|&P<sd~Y2eUtAquwhUVaUdwo-DY$
z%fgQRS-3JW3uV7EG5KvK-tW!CLd#6Zc4i>&bq2od$$(%&2AVq3G2%@+{Pw1!%Q77&
zey71QDh+*}X{fMHLs@q!{=83xnO7<fO-jZ0e<|4dIR(l`Q;;+@1-E2Ua3)cR>nDWx
z<|KrSiV*8El2LFj8E#9G(O)MS#YIVoxsimZwMj@dN<!av0cJiD;PEyAMvN8UYeypX
zMkm7FD-k26Bx0m=BBl!xaNu+T66YsiO#cMDD2&JKoAHp?5RZ)E@rZ7Y!}}L;$lVtQ
z1&)KWL>xXPe8c3^-%zmN8%}9|gLCOu@ZGN<x35?*<|}+VzaaU;7mPak1rHp)0IFY5
zpZgh+*FWRbhR--U@-xo<h{e0;Saf^GV&TkKd{c?VoV-tHyYUGRT|eQ_=ug<#`4Mg(
zKjN7GM?}r}2+08-;aV1hiu*Cxy*&o{)-k9Qk3me*2RuFZ0nsZzpvd?GG+W=pCF(s=
zeBNXBtoNwae2;Ub@38E_J6P>}2Q$3GM45M3ksghUSE5n3AsX||qmj`Sg-ze0&_6f|
zMa!b_)+h=OTi@d4ySK<X_7)2B-@<v&TYUKb239ZMKydgCb~wHf{cdj{UHKaAPhR8a
z{?|~P{u(ywuW_XG6$&4|!mNF-kZJ!4+f`q|sN^MDB3>eO?@N5Me~EO}muN3}f#Hu{
zV2|eu<WGBn`5G@!R{k7EBcB6@o<q^`Iobw1M?=jsbiaHCecxwTHt!iC^qxVv`6&Y4
zKZW**r-*TWihaYLVtQvJM#M$J@O&gJ)<<H|*hribk3>QG6VR<Ec;WE`JoyPql%L>i
z>0_*nd<>hzk1=Y_V~p2(jCn1O;QjFt;({JQZ}lUbGJgbRu}8R@{t$D+9zuENLsZy3
zM54w+e65Z^=IaP__(#CZIRg7kBaqwu01m<jNWcC7?j8@IJLLgN)E|iU-+f$vb01d&
z?&I<D`^Yf64~2jCuq5Li-rTtd)4libbml!c47`WV=5V}?4adoI;n?XKjxE;VIG_}c
zt7UhQ_Tn!3``^X(Wp`0xb{GGN-9=m09bCMB2XhbJf$rQp_%rkl>N{_vIq5c}L`~_a
zUAM7$#%;VEcpKVnVL0_I4C<j_c(gSPOYFj+F(3?8jkgdNdkfJQZXwp~778Zcf|S-R
zOli1@kWV-9<NQsyy4^(6<eTu*x{1+^H_#A!15p=m;PRFm2(-H)+7CAn)^Z(*->yUK
z>UB8oxQ=@>u0uobI?n#O2E*iQhzq-h{hrq_Y3?;>nOwu)-mB=$x(e|}S25W4Djb(x
zMc|mLD3HAho3bl-{N@VGgRbDK%N1<mE6~@vg6~bCi2W9dh-;y^vpW=#PN7IL3dQf<
z%b1XJ8GcVLqw3gYEL?RN*_M~#qH-Csb(atwdkKd^FJa!!OBg@v5=@OQVf5dNu+P1S
z%}+1lX23<%ti1@(McmQ62;G(o2urvC>#z%`IB)@>i!Na8Xpt^=0YfU!L+8VJ47qq7
z*4xixt>bxw8l6W)-#JVyIER}r&!K<NIb7d#4&&_4p<wVi1phgUMOkNI8hIAVfoDZ^
z<}73;pM{R@S)k(#wxyrJ(?@3@cKi(1tUH4=K7%<rXHfhr1pCuNVEi})6~{yHczp=`
zCx^geU<fw;4#u{uVE8=^M#RZrlxz%!!PH>vGzdmkZxHMYg7D>a5ayl@LgTg|T$~kz
zdBcOCEggi`iqpvXcp8GMry=w_jgrNu@ptTLj8r|1P0gq9GU*ihJvfCu$4;SX-6`y_
zJq0PfQ@Gc25=#nBLi6oOl%GF|_d8GG?!1$@I{GATDV@a2h7-t6JORo3Ct!Q*1Wv9$
zf$AwIFw5WsV*3JNUlNGy_kq}TB@hPt15vm%5VtJ@;i(mfmA?WoJ1YQAF9NXaOaOLm
z55U#A0Z1Pm01f2;tZzP!&%)y{dwd+>Cy!&K`*D17JdQOZjzd}DIFjo9aZccm%@O{X
z9q5lqoBaU?f6OrT$7*?h9IHQuD8VuOi8zL7CywE!+cC(@I)(!ykD*8L7y_I8V3gtq
z;S)dj1o^?v!w;(S{LnbY4_Rt{Nc?dWf~=#+dvz2)E*ypKzN47qd=$afM^UVM6qdcd
zxL)E5)la?%x#f#NzP@<9-WSWK`9g7+F9dSFIM?6<H=z$^NBRIEKA5=E2eylRu*lK}
zyS04~*6oeLVsGew^2YWsZ=@XchNY`F9?kTI*+_3h_wz=0`4O~*AHhQRBS;-{1Zz4E
zL*c_=2z?HV_S|7y>US8ovb^v))C*m!z2IQtg=bBNVE*zD;`SfHPTNDUl05{C)Ps<@
za1g3155mImAlw=b;N9~B7_$EWZrUEeIJpBTP1}!Km-b`->iyU}Y(G3&J#p%-Ct{Cy
zLSd#S+*LhMnZHl;S@%KHZ6DIc?!&E~y*U1DFOHqwi_j%|@l}5>B<uHJ*^51hKez`D
z)ApcJc@NIy@5bWWyJ5a%H}oxc!&q!LrX=mc&hxtvy=oWwo9;ru&z(^HxD$~9JF#}*
zPMGTLglzo|(Rr`~l1Fx6h~o|{(%OM*<=fHyXgjv<+l~&q?KrEv9a9TEpm@&%-*<Q*
zpFL12?}4tIZ5V!g8@6oQhB%vT7$>_8ud}wo>DE^K*|HT;)?0B}W-In)ZNctaTj0NS
z3m)5S!FSm$u*`8s=xukXZg<Bub_W#Q(U$LqsC#ZWzuOIdc5Vnzb;GUF%@97`Eb0k2
zV~xXRBn;RLyV_02c(n<;k8Z+<1)K28K%}>B#Fvj7k#Kq=%2sZKqS;0`_PF9&k}D*x
zxZ>buSIAns;=Y_Kmgl>`;DHOe_PL;Dh6}0(xS;d<1`LeafQ11YaKm{6dWUbo)~@wv
z7pzCXmG!W2Uyo*5j}J=gaie4%&PJ|7=#h1JF>f78hpfY(pKG!8+ghYwSc~Z!*CKV|
zT5M8S3$5Zc$bPa0;YZdWaQ+$`F<gV=9jit4a5YjwS3_~jYOI*F8ZoM?VNtaTZ(py%
z+<;Z+TD}UeN3Ft9u~k@?^&b}A`wvU@{|7gx{}7`8pJ@NAgj)PcYzbY7{4Fc7#C9cW
zG*-g@`wC2azXH8ME0D2n1>Rb&K%|0*mo7)fi{<F`Uyg|@mgAWDa#Tw$$D;gY$a%aB
z8-12RVaYOl9I*_(|D3Tj+Zi0;jPZw^frZXkJlq+F|1L#T=2A#LSc+9%OOdo-DP{~`
zitN8jurq533?i1G?C=sqE?R=15le7bOhmbh5&U>Dp7}0Dh4W$<nlHv4>BYz^S_Fp|
zi;x_!2>-2Kgnttj;f2y7?5SFaneP^2<e7ySylElyCodF@+Y7O<c>#`nTY!YC3!t-W
z0S-7WK;w`F*wQs0z3KCD?ZJFFdC!NU^L!MV&qtK(eB3LWhdXcQ;aTuJ2sh5dpULwu
zPJ14_+U6oJaV~7b<|1nUTufdt7r7(m;*jKASQO7e$E!I=JUvI$L(aj~$s*Dg$?da|
zm^2$5cV@%FYc>uonT=fY*_bRp8*eL}z#p8DdBF*LJ)B_b;Dm;uPI%Wl3!%BQ;QwqE
zd{4|0^{ulIK4}(&+Or_>(-G5C91(io5#2tHa9in!I!j0FR&#_(lLMmS9pDk>fboYM
zAh*;34Hgb4RB}N6_nD~vG828*XToIvOsrfq6SvG~;)lXaEU2A<*v~V7>oXAVIRmQ}
z&4ARH8HiGxfdk*C!{O_6nB1HWwS&{4uyi_9$4!Tk%5+R`oQ6FK)9~WXH1r;shD9r<
zA$sC8m}yPJ<MyerNu7$Ehf{I*_*9JFFcrUTry_CiRNU*f$C*5PoOorAkTdqUv&|k~
zXW64|xIIS7*kf0f9TH>hFye+CLJ!(OYndHxSlVH{rXBLyr{H+n6ij_G1<EI<pk~t)
z2&PX#w9yp2k(h$ma$Dqmv_;P~TZ}wti%rXH@xsa$a{X=L{%bOdGACo{^T{X=o{YWQ
zCPRDnWF(B73}1!GaIBvMy~IiAyEh4q$0nhA!z47=PeSj|Nzj#;glQFwL$QocHyO%D
z7;dW=nar3zm=P};;};YI4ex>AtAOo6;O}xE-Uhg;D{7^?37ZQE>)sJIULklMAY52Z
zh_NBG>k=$_Y~WR7gPiv^n0U<w_Yc`%=zlhdU>lI04GQ|KakR`D6JxE>b;}y@KGwLg
z&Kkb<*4SZWjV;pF*jYOfehCv1_Fy8C0w<!+Z6YQ)O+?_RiK4lCBBr!iAu_`XCNHh<
z@VphQ_gW!qsTDk}tzbIP3N^i!cwB0U!?BiFaoZC1ewMIuwS?tNOW2OE#9}2&>}i>R
zTj>*!`(gqHT$q6M`zGMsvI!W32?)@efPZ2W;8Qgo%JJiI@4<LDoE(qeTgT(+yz$sM
zZai%JkB3gzIP?~cL&L{$s0tg0TEB7lwQ(GjW{rdS=yCW@Z5%HA8jJkAu`qr=7G5{T
zqReM3oLt7@>&&s3W;PZXDr2$nrv>ElEJQPs1vcNXfT^zqe!5s7(ZK@uM_C|5%>qX|
z#=xgw3<6`u;A+?yygfDsC7Z{f-<&a+Id%+A_aB4eZgWg1Gsoqx=8%41jzg!+@prp9
z0v4NNu#GuB=$XSs(j3}#qmd&Vjcd<GW9!Aym~n74My?qRooS<?Hexh1R7OMp*C>oH
z7=?u&N8!+&QFt0K3XNMw!D8Vk_)Hvy!oj1!lB4jj&I|^rX1Mjz45p!G_;A<^&Ku0o
z=U|2>=4No!GQ;qmk@!_U5`y@Vc<^{6Le7qaujfd3tr`iRsUs0QVkGXVjzoOt2(%TC
zfZ^8>SRF9};lU&DYtINctsH?Tb|au|Is&IuMnJyP6v4%&(EDnNHxZ_A4l#w~K2yB?
z&lJ0-n!;wJDdg2nQSoOuzLX8e<M`pY`D8e*o*#}|2Ztka-EhP?3`fnF;ZW8dj>-Rq
zVSnu~d`KAvx!1$+-?d?Qe{>jzxDP|f0+G#T7y^e3gSz}M+-)<#<a`rUeKJAteG^O#
zHi5)G6C|!O!KLXY*f!b(bNZXWs?Qk1YmG59)fh%^jA4Gm7<T@~ShdX<zDtbpbdoWu
zO+>hgF*f}+!rL+<C?^_W>oX(dTsFcqA0xzUHo~L@Mo6$Rg0rC!ekdB@{4YaHDltTR
zoFN`Z8p7j}A#A)2(QmUM>gO9G#l{fPhK6{eWQd54p?Fd{6z>v-BJJ5wG=&a@+R>qy
zv}GuEEgp(zlZK*W*ihK14aKGIA^24_1j|x}ApXq|(TqC;QGr9iyM`cX<q)i%J_J4H
zLvT}P2xdtR!M`R0yw5ejkyrybJ~Y7K^9K0iWq_iM28f?;fG9G+3u6PkQZYbGmp)Rf
z^zl7KAF@&UFu$#j)u;4vaj!md*63r<EPc35&_}GkJ_al3!}pgST1)k?UZ97vmwH%t
zLl4aXdN{I64?3&#@NTBaHck)fdU~QhSWnc~4aS_(!5AbMjP{p<k#b`&o(B%bwcUde
zw0bZC90wzC!eE>+7>qE*!HDV{gxrcj=n)RW@Tfspd1nwV1r0*M{y{Kw8HC;Q20=)J
zFml)+oKYWyzP|&pvwk32vIk;E>_GH98i-Su2Eyp*Kz!Xc5Sy0|ME~gnkz_Ft#|96?
z4Ecdj?a)Pexh~!cb#Wm|7YFX@!Zkz}%MR&c;U--yTBM7Wwz_aP(}lOTF0M)G;!~Rr
z>Wg)tE6~A$*E$FZ(?QN@9Sk|3gWaw=NL`?V(UWy>VWbWuwRPYrrGuYs+SpT~jXr@k
zPQTHH;T>(n25V#eA#G7kXp5eaif}t^j5F89pMl!=DyNML9RsknasZst2EgLO01S>8
z0F{daAa`^CWVa7MzyAh6$8iA6tOj73(Ezxp4Zz91{)lSqkH-A|FplpJmzVwV=vIIH
zIo%(#4)#a*rv8v#(jV^j{gFRLWYg=9Z;JgfwMz?0wOUw`t%bVJTJU+Q1%vBaqUViT
z*zT!?p{`meT&RW1Q?#(sTnobnYvGTA7SjG`;&H7eg0nT@`9%|(o@rv$4NWXRrHPdX
zG_hfmCU!2-g#T1c+#0KiSOZPeDr-XhuLh<zYT!_ThA8hf(DzycGw*8P@>vbEcx%AX
zLj#Zh(}1Rv27GNa&^cTK+XrZ%O<Dtcf2l*FN*(7j)L|B@4nd?kwp>?-)+u#-JD`sJ
zo7FMiSsfkI)$x9UI*uEuW0{6JEF{#S+^&Z9GBp&YszDH=hM31{czabuCq(joH6(6Q
zL%~utv`trolBF6(8>?Z7rW%e)s^QHKRnZKsicuM=qWn_DyQiv<zp08<L8^%IQib+b
zRd}sbMcph_EF)E<jZnobT~!F>Rk5&31!Z+A*paUSxkMF&zg5AE`zmO?sDf+$DwwlZ
z1v0KG__|mH{?kPI1QiT27U7yINRSfw|58RkwKBG6D`V9+Wz2u249C05n0a0qv;35?
zaJMqnZcxVVManoeRT&S*D<j2786BF+7%Hud#U1@{x~3nJa{56jz8@C7>4&g;{qXZ*
zKR6!mhkN__L2gq&csTb%(ae5uvhIg3rv1RW{qRwtAEx#wA+1pftBaNJOQ?jP7$uB~
zR6@oLB^(G=!f<aT6mM6;g|$jpxIhX0?UhhEP6>~Ul;EYMghet+81q{ZYITbEov(;W
zfg&>BDI(#KB0gVJMC@rrd_Am)WDiB;uTez9d_{=cD`N0?MNBeQ#D@Ng2$ogEr#}k#
zS+4-IA_dV*t$-&n3h0PbfZZ(xoIj(0244kC+pU0b7X?x8sDRxw6;NrdfW;#fkTOUC
zj>-y1{wI(5?eZwDl*g8Ad5Fc!BlN92tRm!5a77;8r{rOFSRN%F@;JLz9!?A8p*T$*
zsh0A%I9wj<bmcKlNgncja;R#R!<Py<+{=<fP@EhNzLmq42sx~~Du@40%VFgaIjq?s
zhfV9{uxGIx{AbAFnzbC>jFdypU^)Czk%NJR9Grg1!mCymFY;y4lq8E0F|yeDR2Hwo
zWFdB57W4dN5$-7~>ak?8;y+o$%$0?qoh*XJ%i^zzEOzL~qFzxJE`2hnZIgj}l?;C6
z$iO#I2Ac0>@bHNYrrnZ3^;sDlKPCfnPZ<=s$>8LFGO(Q|gDyK6yqO>a&*3tdG*AX|
z$}-3mlR?B!X?WL4V?}{9Y=qL#`y>sS7t;7~R~nU<q>+0<8fjkA5N?-7%6e&JE|Er&
zgEZ<PEjov!p=KzJk^QCNATJH~UMZYumBNQgDKzFtK~Ers#UG>)@>B|Gx22$dQ3}ff
zrEvF<6n=V0Va9qX+*~4s9tSC`U@3eWBZXl`QaCq23X+Oa*w-hC)^<s_*GP)$og_Sj
zlKA~e5=UQ3LgT(9?q89_<RD2D`AFj69!cnLmPEozN$i>@3B#$9$hDHh>5-C{sV@mx
z4M`-)Na9Sl1Xi|4U}U8P`f?<YBapz;7zvzyE&-2l2`mnk5d9w@fl)pZ(BC5g&CL>`
zIxHc2UM?ZZ5ecYTOF(Co1dNABV1kx}=zB|G?O$<twTt6gjW|9Ph@&<|9BN<0G5L)+
zc03fv{Tt$_I4cgl<KkF-P#kwX#L=`~921?z5#S__Vq0;Hn;?!LQ*ks87ROw5alDoh
zhklP3PPK~RZ<QE!=8K_0C<fQhVyJyBhRqMfME@^{;lMdD$OVYu${{hB?+`<xix^y%
zi$Qv>7$WS&FmIw5ddx)f5HYOiF9tP5F`WPRkNVaBqtluHNbAEtx*PtFY=Zw$p65S0
zxb7dBIQ^si3IFJf{y&;8|BtkP_EBwdAH9$7qf5{F=)jde+Thnmi?{XBZ0A0jW!FdZ
z%=&0$|32~%>!ZMizw|KsFJ*rGOX3lK$@1J^+UfO|UT^$M|K|UtdH72YO#YIL+Fx?-
z>7~4yUUE$DrLXUL$v(W7l7f55`9Lo<ZRn-rb9>3urk65|ddXX*mn^$`=tp%Ay-w?)
zBky`>Zg>xwg!GW)!5;eV(nFc^dgv?l(0h{}idO5PkG<U__})!Lnceg=rkm6wy2<K%
zH?2R?O&8p{DRpr-^_$X73(dOe=74VcA<<2<TDs^_K^LjTb&=PzE^52lMVpUzQQgii
z+P12Tx*fXc^n@-l8PY{@N?qjs=MN32{zHPaKjicN582-TL(=E|Q2OCNbldF@9a!>*
zobCP)M*pE<x_?Mp<`1d-_)SWszey$OH|f0jO{TYh)8wGvwBo>T@^bx6;R}9K)}-Gg
zH}W^x5BN=flD{drwUe}qJIOt<lfJ#`B*U;y3OL<KKlgXi2G>q1TF^<(lSO=FC%I^M
zQioJ0ooMeM<I)a_PwJqpZ#zi$ZU?1=bdbMS2TgP9AcdtJlw;pP_r`RP*WeCXuFygJ
z`xlv1|02zdUnKYO7fC!4(Pfc*Ok~^ni;P$QB2hu3W!AswkjXC!*Z4(QV!ueX<tI%k
z`bj>CKPmq8Pg1+{lh%d&q-d|7q~-pT_BsEgvS~kQ_PC!EYw(k-m48xH&ksWV4~ozI
zK}){<pvLDv$p7XKGCBQ&ga>|*=cXTIy5t9y+y9_z7C&f}z6k60gMN0mQ+!=J-N<dH
zL*LqI^^10zd8?f)gW74tp>{HKYp0>k?PM~&oyLrBr^!RxX_0C>ZR=~Jpr$r@S=dIU
ziEX6(woR0CZFKlt8-4U?BdP6eG<Q`S-EwN9PMbEGZ`wvL2DFLpSsNYw)k?oATgfe>
zm1;h<l51ouHC=0^eJ5K<?m#Qu*wjkaOIxX6S}PqH-%2A4Td7d3m4d}u$+5MC6iQnt
zP1r)A?^|f|!xowp+Ctg^E%bYD3l+JvP~4&xdS%~255~4o*pL>wsoFxf|25O2mS&1B
zX(pktnX2D6llY@%GQ84Ej)Bdz*Rz@KZ)~QLCC#KWy_uFzXr^06&D5yTOeEP%AwQa^
zp`wW#GMeZ~Y!mf=)<k|co9K5?6L}nNqNc4)wC%qp>TqfzA2gA=Sra`N*hKb<O;pw0
zNXHu*X-r`wl?oc^OmrhTL^P62Xd@*CG*Yl<BdyrfNM_EBBtEl|imV#x-LOWwF+g;k
zY$NUY-9Q_^H_)oQ23nrbKr7xh(AxVAwB=F*9X#GZ!TTEM!NvxPU)n%*Ga5)`Vgu1|
z5w6`pVR8*r^rxP5>+5M%K|S3Q)YH%CdYbmIo~~Z0r_K}gwB%qty>qW8!<F@P#;Kkp
zxt<P;5@CbuX|HlU_4L)zvDP}$D6gY?>2<`P>!{#)9UZt`NBZaLNN}`{_U*2t5iWI9
zxwwvQOs}KWR&``FypCG5>*#}g9R+uPC)dXBWLNy1hNgTc*^l3;E%G~+-uzDKA>S#%
z=R1AbDWdh?DSpv+N}KkbiY>oW%dqbxrSqNi6uuMp)Y6)!S_&wsrB|u7qTHz^-RHHm
z@OCYoIaf<rezl~tx0W_+tfiOEwIu6UORK4t-ka6ZAiY}hQK_W{v08HeQA0^pHDsGp
zBdWzUWD`|GF%dO1^=b{JpQ@oXhimAUM-81`TSFrj)==`)8rp7IL%PFjC{d?|4k*^p
zn7`H3*iuao%d2T?W;KofR!#q2S5w;kYPu6zO$Sd_(^9W$vht{=forQtYGF0CPpzg(
z%WBFSUQOw`)s&(n^6#snoVF?|tE{5t>?-;fUqxEcRb>9Cie_K0B9GuIy5LhqvAe3M
z)ul?b7prKQV-=l86=jXCqW(jw=s%4rdLUgzzkgSfV?!l{6<1PkY9+1sTuC2aR+90(
zN(#ALN&ik%iq4Nps`sd*4eKhYYEdP*&Zwkj>q_!8t0Y<dO1h#}NfuI-B<!pp_xcJ_
zF0K&$))lnsa|J2As-TbeDrk3T1&uycK~0A%C~}8L-%vr5mR69WV+9qXf}WdK(21cH
zv{9>qX3AC2sGf4tYAGl2igIetDyN$Gaw>@~r~Jp|ly|e73eT2P#j$c~@+_xr_i|EN
zT~0$6loO_v)AEVsbZ}%j-O?*3fm%6rN|lqzpE6qBSVm_{%P1wIjFjTaXl_&)U3^qV
z<u}S`^w~1<K2}CKo+5cm8J%2RMokOKXx{WPin1;vqfupa&Y+BBG|R|Kwv2vvm(re=
zQtGTIrGq)8Bqb=NkPoF~@T`<x-6^G6mrAMjL@D_lE+vzlr6hC_`7bM_p|eXV)3%iS
z$CnZhFQq>NOX;mjDeadmrOCfbNUpJja!N}mJhO!M$CuE&cO^73vV`Psmr&z{63PfH
zp?6*-bbm()U2-X*lgmoTcXkOKno>dsCX~=Y(-QI?TtWeAC3If8gzj_|)0^gE5>^yb
zZB8*sCKZ#>$6}iKqL@7H71Na~#grISOx?c4WWKMMHo6znoz=xuxv-dwXBLw?is{vu
zViGqlrujO>6yC3xdc})rNoNtgYA7PDvLf1_RYVmDMdb9Mh~7ObBD3%!3JWbFouDGR
z;9EqR`-<qIdl3y<Q$*p5ipavDh(2=>EgD-y4JJi&bYKw~s1{MIR1vN3DkO!LLV8tM
zNNe*7NljQtaj}JT=yf4kJ}ji4H$>RELh=kKq{&`|B)_wea$O7Q{)$36IIoZvOe-Wa
z8_^o(h16(RNNL)I^rl}S-I6Gz)4vPoa8m*8tSF$(xdpU7xq#Nhis*F#ZFpEf?l%i)
z&-nuK4J@FuhYKitR{_1>R6sfZ70{0b1*AT+fF^JOtr%NCe!~jr*`NX{Q!5}f*#er;
zn@`^D`ShVSpL&Y&i8J!aH$I<|-sh9n^L$!=FP~mr%_q4t`Lx<UpP~=uQ~w?LwAVGC
z3RdKk?fiUtI6a>RAfJv~<WsjvK5ZYAPxWf~<RY6-)xCM-`Xi4Tzvt1el053m%%f9@
zc{KQA9zB1VM>8VwM0uP?htB8Gz!P~Cb0m+}?a3nr_dI&NCXd!H$s<jtJW8CBM@Ovk
z$a+*Bbq>v=H`;l$UpbE^OXZPlcP?eN=F+X2T-s5TOVcuPX;4Bgb$-aDtQWcT@<A?L
zxRFZ-&gas)6S*|oJC|s0E}3n~C4+UjG{8BRROjT9($rj1w8^D@V{%E|B$spt<&u$l
zE?LOs(v-d&TJ$T2+!}Jow>*cg=jPCRVGb34$sw`m95Q*DBkC)2=-|~HdU!@;Kb}LX
zhjVDg?i})Q%b|~Ja_H}p9GW~khy3hwNNAly1IFag29q3mH7JK<HF9XByh#3+O)8z)
zw6!UlQYy1)OhGnXOv|Q!aoObdA)E4FWQ)$zZ2E9Bo5o(urbnl;$>eA@-QAx}#@n;$
zfonF6{x6%}F3cu-$85^5&8Br$+0;2In@$;td<JGytXej$k`t}jmqoWbvS?;g7PVJq
z(Y1msQBR#kJ@Hu-8IwgDUS-jsM_H5?mPHpXXVK!|EYkMRqLM>dq8!Vj?QU7bYqO}I
za~74&$)Z=&vgj1D$aP#6*^kJgp+mArN;`|{l(Q&JI*X!vGb#LMCY^7{q+=DCv_C(S
zJkm00Q+y_^kIAI9uSE1HlQ!JWq|Kq3v?C-_bmnJLz~M}~yeE?$Zpoxi>oX~Lc_y{Z
z&m<*>Od4sMNlsRow0(3YT{O<5kApI)UL%wGD`wJkiA?hB%AhB08C3l}gY?QWXnAf1
zg{EXs;Wv@~A%ix&%%H~)Gw63%22Bmkpz|RaRC_#w=tu^g-J3y;TQg{eO9q9n%pjRX
z8MJv;2Bq0$kd;jag;`{fvS|i+8DvoFfDBr%l0gMB8ML4;ol-i|$+0<|lB(0msW_c7
zveL;pIh`uLq|?@S>D2Q)olZuilU`Uly}T^)4N0f!<LTsmL}c5SPM@}=(>m95l3kTf
zPZy`tvf1e*JuRJHA)Q>tr<1l>I;9$>lmEbUveihZzY6K}K_Z>Jy3=UNk2I2PNTalh
zGzu+9BiD>HnjlCcna^od7?noPo~2R1gEU%qD~%>!P9wdLH2QZujVh0%QQ|%k?vX}U
zHl~sP>NMK3RCN8^G+H(zjpj^Fqv=*@WNV&A7?wsh`XU;TMy!%XcCu;Y@Gq4X{7$7+
zt*Nx-dnz3&OQoQ^RJxs(O3?|al=&%@n%}09!n0H|eUM7CZl#jP<y5*5l1ecFsr21D
zl{EIJlHHC}+O;{A?yXIwqGhS1zCh&bm`ca(QYp?Rm88d|(u|R*bkZ=DG6trSj%F%t
zP)eoeQmG{NH-+YRq|n{w6zZx;p?Re#6p@=k(rGEQJ|Ts^eo7(Zs1yo(mO`x$QfO&d
z3VjYup;2d3=<10SQaYMKM-HaYuU#qRz9ogKH>A+&|5B)UaSE-NBjVFV`ec#aN`#LQ
z`3)EO4@seZx+!#BJ%!8_MKL5(Xj!k2+J6b@WV4Wl)e0%DR7fs)LXu4v(xXHn&HpT<
zu4p0Mc_E~^kA(F1j*y;Q6VmDnLedBllE7a`K1YN^o<jP)T}ZDt3u(_fAz7^uQqMvm
zeRdL3;4~pEoFpWDD<L(T3n^x}kb;K@X}zwHtTlwBrX-|BDIq2NO{Vb9WKmz6OdIQx
zX;wutSrjIdPF6BW3X`ezTQU{LBvbO6Wcu(lnVvpKrn_OuqMkXK&Yw%B;8V$T>R2+J
zJS^h-MEZ7-eX|H(mrQq7B-4{c$rL?1nG&WaQ{Locs-Kule=U+pV`MUoG)ksvgOh1Z
z|77w~Nv3OZ$rK}=Oy%84B>gLi%$k#EacvTLmnG5T{3I&ONFs&gB*M2O+8&cc_ueE?
z>C+?{5RpU+ZYNRj)g($ipF}D_BK>$0UGh$%lKn|!yeo-3wj|Memn4#3okYu=lj!06
zB>L+p@|&7O5u8L4R!OvSOcF(zCQ*OGB-%SDiSo5Xu~d>ovqKWeNhHyZ9sw2q5|BfS
zfZl!=(69;tg%%2^U$%gJQv}o%FQA>V0&0#HklRZE)jbx_rh5WvxGA7*p#u7ORzL?%
z2}sgkKtV?YG;qIwB6bSMdW(RPT?DjxwSay(3+Utm0U0?7=+iU-t(YuYccLiHSOM9X
z38=(a6iZ(~raA)3P#4faCDG@Q5m3&*MDpuOqzOM0sjexJuGJ>eg7QRCC`_bpS&4Kc
zC6SPjNIkKM^!{BUdA&-cDUpdJ^B|E@!V>A?)kIo*A(2J}i+lnSDcM)F#-T*=*qcaG
zw<nUWTO$2fpGd<066yX@QLOoiw0>41*-uL(<H?C6Z=FajV-qRIERjB%B+>(eL^`jV
zNWPkhv_m<O*2yK(Vu?g@=uM!>oe5;wmO$nW2{fWQflNvh$S7Y#nF(YpOrYWM31k+V
zKx5w}kj<+EvX4xlIS&$O#q9*zd@X_YUreAAAqjN-L;}6=OQ6KV2~_TxKwUc%NONlf
zS!_(8xoZ>1V?_dmEKZ=8a}y}vA%XhrMX@G{u!#wDU~B^2GfSXslLV3)l0Xv%CeS9W
z1iGe@K$-FhBrlafc75^W^(UU9f5g-8rg*aa9#8u!M0!y?{mqFdyYzSpOp2$>Z}Bwf
zQ#@^oj;Gfz<4Gzqo)$fbr+c^Ksq0!i&AAj$chAIA@5y*t>>p3hyyHpfU_80)i6?<a
zJdJRRr_&qaseM&EEnOB*9~Z{cusQK`W~L~Poyd>lslY0p9LC0rX1I77JuIH?42dV5
zK_Z|2@uZ*@PsbGFNn9qLj)=umUw0fG?ua9?wm3T45Jz$~aTHV*NBs-q=w@~tjYx~5
zH-b2t`Yn#KKE~08=s4<p8Am4~<48Y3gx!gwIXB|y`{g+DJr_rML2>jUAdXfXjiX+#
zIJ)5(M|QhJ_|`c39|rC*OpYcB!*Fcd*x20YO}1m(#>Td7+qSiX9?#A)wr%T+jqmw!
zU%NBYU3Kczsp{F8P8RozRdCN(-Rlyo`R)0=RjeL2iPehw98)V+pR2`cZ>3muE*GnG
zC1Z7}FfrweRkd8P`jLgc(#L9aD$Ywv4Dn;-{u`soKVnqtbBvPx7o$rrW3=f>jQZY>
zQTbajigz_e7thCN$Eg^Nij7hIh#2Mc#^{q7qtjtA+I28SQ}@KE)Akru+7zSAYh(0n
zd5mr>ijjA2jJD2*(d@}F8Z<6Otw+WvWJrvP^p8=-UNMT_Ek++Z#OP7$7+q-=qvH)@
z<f{`SYxNlI7kySBmNGF~TRcXq3dLweP>h!6<YyKhr|0=pyq=Wf5^(&#Xjy+o%l9Q(
z$KOZm%Ij!7dKRq@52F?DZnQGoh*qJ?(W-hbS}jjTtA9+irU#<6(Gx9)8LdlU(RzO{
zTB-L&tJIEYwb&f3QR||$Ze_ImOQQ8;eza1|j#lurXmy_$twm#^<sKfb7lWderC+of
z^o-WTuF*Q$fn!@oD_e8gXcVmlb)ywiBU=Be(s!k3O(@5CC8PDDNVHTST2t~wD=K@m
z5@(K9({#~VlQLTOlSHdXf@qEY7p175QA+bQO5Hw0DeO&@;=PDco5xYwe=kb^Zbqr?
z)hHdg5T(Rtq7-^OO5ssa${rr2@$M+yv`48*Sd=y$<k&q?yqAm8sm)O;vp!1eSJBq8
zC=Fi7adV<ncSe-#lcSV>e3Vv?qP<~JnlLa*@A`0FXq0YuiBhW$Q99F_W1ACKqbM2m
zqU5g`rK%xO@>PyfNN|)QOGl|rar!9~rRMpfbR$=kdSr{z>x@wvla@YHMrmo1DCJ5(
z-2WnF{EF1YuaWBYF;YL?Mr!HHNELh<sqhDpYIi46AFfAg@#RR?P^3<rid5fYkxCpD
zseS%PHF8JlKYOHBg+;2$p-4U48>#s_BUN^5r0#Cu_cf8Kup&}V7DsC3{7BWB9jVXL
zBDHr?q&kg@RGLwdIyN*?lLtmBxNoH1g+^+B*GTp57^$GPk$TV~Qd^rus#}9d<*5^?
zN7W;>r)s1IR*F=a@{#&pDpC=}=%-MmTIGvWuH2D&oh?%COp%(GE>i7NMXE@$Nc~C}
zsdI57wc}5O#{P&<lP?h}@F7Bf-$dxfiwN1CL}=-Q2o1Uup@ugiROCv8l3s|=tJ4uW
zdptsx=m@O|L}-#XLOq=kYGjL0`J)lab&%usM(E3q2tC>op$i)#6j&3XuoV&7u_QvP
z7er|OoCr;s5us62A~bLU=Z}d{=MfQVJ0wCa1`tah`V5Uw{jL$J*O8xXdEAocoAP=?
zj;qV@H90SY^Q+KK1==f1yCrGADE$<qzaaX}6`}LlBJ?0rgg&N=P{Py^%9=bvB@;)e
zcKir+`WMisUjZ%o7SR4r0mc3o(4*G@#d#4>?k52m4+83bC!iTO0@{5gppzE@dUqzE
z3?~CpY(PCD16t${$l(s?p&3w0Yd}?w1k~?9Kx_8|bbLoZ-?s!*bYnnW)&}@oE}&ye
z16%_FDmO2nfwKbIH7%fflLE>*KA<+E16naWpbLWoN<AQ;W_<!$78=l{t^sB26i|nD
z0c~j&(355X6>A*O$oc{KY6q04MnEm91+=+xK(B%Ws#G?hIVA(SS~Q>ng#sFrFQ5~-
z1InHwprKg;ipdaAwzL5aPsx~)1{9Piph@upy8bs@<$i^0*|%`L`xLGw@56QYO}J9M
z4A-!y;kx`VTovzyYtyZ8#l0S`zL&#w?tHi^oC(*~6X8l48?I52;d<cbTu->Xj&K#V
zg=@pna3wz!uF3nt^?p~ldTkHajm;dhAzaaG!c}EuxU5UVRcukXcFzk}p4s#<JzQC*
zglp}DaAg`Bt~DdWm3dgW)(r|*w*KMT+&f%(L&LSFYq*Mc3YV>2xYRmaG0nr(v`M&b
zHlUxn^jDL94f?N29F>SCn7GQ&cS+(bO1y=_l_Wpy<zehO!*wcaxI#09>sPvPtxg@T
z(ka4qCP}#ZB@9=>c;VXl*RPtt{Cf1w&u903){I{#-ugA@m0xL|`(-}%tJ4EN`@3HU
zZu-^gnqPk|`L*vnzn}5z-wD4C#roAT%CDpWzuaEG2DtpnZu)iB;@7kzew9Dy*UP<r
zZQbQp+wFd(+Tz!-4Sr2s>sRGfetll%SJ+~|1~2fd=v=>E%=ByTG{5>z_N(v&zg~^;
z>+ndwh7F^w!G8Vd?^mFYUvql;)wH``nY#FOzk^@<+xj)Cm0#7H`<1eZU$+_%XI;O>
z*7B=fb-%Jyqpiw*`6~Few47f(OZ!!+1o0I0>uEur&*#^wJj9Wc<Fok{l-aMp>1ij8
zU(S?%txiV!iT!GwfH>m%mGQ5S&li2V_06a7&pz$^;M2T!J`H*8Q=1n)ReS1F!ACx&
zzVFkI+de(H;nRhyKKU>Cbl|*C>(2Nz_oPo_kNMOu+NTZ?J~i_D6youztkb7LcAs)s
zd`fr3r=$mcio1_?cKP&iyH9Vn`1E|EPmkC6bbqx^cUBO`QlD-v!hFo(@l2kd#_N-P
zdNjeOXJdVOJ<6vK!+rWb#HW7)eM;Qlr!;+h%GT4T{M~&j)x{@u^r?P3#?acQo-KSD
z(bT6IjeJ^J-=|%5d~($E>7?P)-Kw-z*{4JmiL<;<<;wWfu%u6+#eAAr*r(M6d^#HB
z)2ZC_ox`X2*?h{Anek=tsY_a)Ca3agb8>Q*#HR-dc|AV)ibETJyc+t`tJUAU@_zQ}
z(FZT@o4hLb#;eXRy_)mPE6ZcA?mqA;={>J1-1e&14X;*Q^(yj`S0B!M`5wZnR;Rq0
zecUToj8|_Wy~-2ts*TU9g>H^>c=g@pRcVV?{f~IH<Dge}_IZ_gk5?^sdbMPmSEo1A
z{zk9rt)tJ?UL9NERib4)UhLKU1zw$*>s9L6^fSY&byJCFl2`dAcr{?GSJqKp{T%L9
zt)X5m9^}>a{>0SRt0BF-^7Qa3aW`V=?A5LgUVUoIajm^t)xxW%O}(nv*sBE%Xs@nU
zWopxR4Pp!Ns%%yIt?bpq3SLz%&v?r)u99BWE$-F!B3}I|=v9aOUODo5l_9rRBXW3k
zF)M9k_G)<suRf;rs&#6woGHA@mdvXuiM@K9z^nT4yu45FDB~ZGCjIp2$u|$zPmdfQ
zJ<9Xm!{78CeSPIo=nId|KlP~UV-Merc$D>?NAqrb^!<j1&uKlnb=jlF7d;A`^Qi0@
z58p?5l>N9z%VIoA6h+$sk3RW48tC!pvD2f@rbpMT9yJg1==5Qa>K*hbdY?zt_jnY(
zlYX{)<lW+tHt};kkJs}2Dqdf~aZ5d_yV#>s3p{Ez&!a1|J?c2qqleQx>Nmxs_Y*xD
zKi;EwV?A0l%A-spJla0gqY{HXau49#ew@>rG4=H5LwAp+cl9W3XODJt@Tgon58pF-
z)V`%hubX)^wTVX=8hNz8zDGt~58nlQG^mD02@H=mRrM&i3VEqW4uW~EoJU(r6LU$A
zZWQxqbP<oz7xKuGpK%5eS8no=)1xxkJ-VEQ*E4yPB?IG2>ruDVoS%|@k};+v9(_qj
z`|&-h9oM5bf8ARB+pUnFZoT;C*2*vZ{>iOZ@7-GS&aGN+-1_j+t*y`9YWmczKabox
z{J^cQ_uNW-$F0blZjHR|R>7-o-MZw~k_()3&aLmK-8yp8t=`Ao$`R|<l_<9sMYvTb
z+^xS}w_I+{bGlX1q%W&md&1o6dBm-}hupfq->ofs-RiR2t(-gEy1R|XTioit$*rIb
zZarP=*1pwl4O;0|>E&*HS>l#=kz3OjxK)21am{h-`b=V;?pD94Zk3(v*6#^!9UtfB
zvq)ke<yO%VZhaf-R_tKLJkYJs{%-yjb}Mdgw=RadwWGURqq@3Px3gPWJG%9zom&xY
z+*;Mjt^O^@Q8TwPG;!;7L${*pyS1UNTO(?_xgW!={M8v_HMjVbU$)9_Ev@L*z+hr4
z=T?C-ZpAO<*2ChoSCkkFyEV0-Tix=zRXvFD<#8)PF1Ma%cXN#;hna~vqg!LsyVW_Z
zTQyU=RX8PMOzzg#ByQbH#JCc;6&8;e;<z>IuS-LJyVUWgOLf1yRQ9V&xj(y<;-gDH
z|8wcZTbHiCcIntlmmJSs+WXX{b&p+I@X*EQjGTMdrO?|hwY}+5!|N^?S6wQ9*`=Zv
zxtsO8OPSBQl<KrgiB7uo_n1rHVqAJ3<<hGNm!5>Xbl>OFZ4Z68T)N_L>7w1G^H!J6
zhPia+h)bsr;Q;pWcn{C-;`JRIw~gbsaNZ`)-#|O-Xm5>6FITzr-wKz$EOY7i5|`pH
zb}9Knm(tI7DaTxw3e0w?)J&HuPj{*IRF|4fcB#`um->!(Y1CMkrjK@M=}4D04|nO%
zP?x-e>3bl3^mpk^Uzh&$b}4l)7w?f6XLpzCb>;ld<e{TWv)a3~zO73~Te}q7(xp4i
zUHa6N{+qazuaQet8@SY_9>>;kX?`u2cGYkxV9<6o@*<ZqRB@?HC6}63aA{C^a$MG>
z{iR(xQIdHm?&AIumx>f2&xLrsfJ;mAxn#*p9&)?%JtyPK;ZlukF7?Uc(xOZ*Su?nF
zGo4Fu(z;YQwM)%Yx->4iOWTvWbSkk+pA)+H+svf~@fdp?m$v<N>dbGae*AQ*;18!-
ze{*Wa7pE+roO<xVsnqYCGTu2g^o>*7UO9E~g;VjLI~DxYseX^0+W63^^Y?k~o>P_X
zI5qf|Q#)=rb>o^-sjfOz=dx3iE;?mD@6?;KPCk!vs_QAI)}3(b(lICBu{u>Rnm!|)
z3J*B-)9+M8pHrhePFY<}y>~cO%5-Xo&8fo{r`{fQs>Bf<A9CvG0jECfbE@24r^f7d
z%DvO6-`kz4zRjswTbw$%i5NCAru9y3SnJfo)lL;&#aLE2<y_{}za>u9U+mQKg-+d`
zPi*seZH`l(SxzOK=~Rp9PHmp*)T_zFG>JAR5c4>v@{HxU(ZoBF_D3+DVZ<`TsW^i<
zXP{F%`#bfeFKzcBKfRp#FVv}8J)BzGjU04wszzsi@5or%^L#sEYr{BNIn|)0Q`?)9
zgQiZkYU0$PMouMa=v4RmPI>D(m8p(XBWgKyu7*=Zt2;F}#HlA$ovJD3rm|CiD>~Js
zf>XZoPUR>^-pe?3x0F*MC7s$@+^M+5oa$M`sbhtlDpJtNcU0szi2URwce$O)mCLD_
zIh=Z#&8cQtopNM$DrY9foq@R1aa>xb{HdvvR8B2RL7d5)>XnrFPwZ5cL{9BV;8eQ!
zPECpH)a!o^wg2nTvEL4r|K-q*9}cDc?$ETa4!!^EQ1?#`UHITojrR^&-#L{3twU>G
zJCx*=Lla*(^zNBMp-&yU_Sm6@j~og-pq={;?Z4|#?mG^xzU5Ggn-0yq?$FPx4vo0t
z(5p)h^}OiNo%0U0Ip^SB9)}v7b|~hgL&gb*JjWcW5KDj24wZ~@=wO6Hg#!-l@zcML
z7(EW<bvv}p=};aAKkfXqIkes4P*9jdJC8V2;IKn`4?0xzfJ2A(IaGSDL-yScRodl{
zZwKSq&X~74)Od?Smo|}ujSk&k?@*t04!vFD(CF0;{aNYIoD~kGUhdGkrL?`op+k#^
zZJ|Sv^Er2(LpSC))N3}mn(5Hw84e|z?$Fw)^gqQR+a&s#NdCq<)NPzY|BZ2I>S)><
zMa&}{Dl^=nsG$zE9^%lmK@N={NUjDrw6&i@<@!2wythN0deL^ML$iB0l&!l%VO<@n
z+lAb9a%f~n`s+YG+BsCEE#qkI(7;v>C1~l;=H?DnZ069#COp^Jp+t?yPXmXl)+gq=
z4vnhAJlA&UNKJ<t)o|#g;h;{5yBhN#=BJ87@ha1HMTcruaOhEa=CB<3FY8cjX@~lj
zawus@=BBtqO^Z47p@>7P3X|VL#8$we>G>Thn9rfpc^w*_$Dz!*9rEWSS2-L?o}IbP
z>QKil^pV-20~sA^mBFFk=^Waf)}dx;9Qu)pc}z*$Dfm5^L%WhX)I15tByw=C3w4u#
zbK^U7G_FHk;?U+lQ|>>e`u#SQ`Io6<KTM7JZmQrnQ`f$jn)}&QrB9|_elWH1y{RVu
znfmwEl=Y3N-mgt%d1dO%3scjcn=1c|<DQt>^4L_XN2ZcKG!?jSYV<u*#qXMWeB0E9
zTc%pxG?nazsi<ov_l<Dg6;p37nc92NRF4a$vY)5#v!<4xG1d6Asl=yDMV~M=^|&c+
z?9=xcQ)aZO5mBZ}N1A#UFm)*0)Ih(fqCR5qnA-0))!${Rh||<7)6_w`sX;bVC9S63
zhY|l#Q=^WUs(9Gc&x5A?2TV=hZ>r8d;@)fO+-_4VcbRIx(^Re<rk-pwbzrNh;akYZ
zW^%BRTx~G5WWA}j>o{huspqRrg{?9*ex<2eD@>(aZtD6{lh3kD4PMN7i%i8|XzKiY
zayidb-?@x^j;Xk_>2Ic~O*2dln9gz2OeLCX>gr@uyC#_$Ig$1zn0%i}4#%3Zk1;iS
zH2sb;RcNHCAHz+Z9%gFuP*cN(aO_}HnFcZL0j9$Hn_AJ&RG+@&u8*lSy-hvsY04W)
zetQr@cT*wVOl9n9>P=_z+=<va(q{)#joO>a-_F#ZHq1wBQ%75wn%~mo?^aXQnlty!
zOnquX?2XBHBVuaE{59aU`lhngGxe>GsVlWjS!$VDT9X{qpv~&ckwK0_OueXT>bRKq
zD%4qJVyR@RensZ20`(DW>UB9&XUo!W8DcHXe3dfQuB53dB~0ZkPTq<!mLjH37B+RH
z5c5^g)VKnsy5uJZ`DiD|RO-B@zUDS{H<ziHoYX-Mj>}HnWn&y!i6;wlkeT)}k@Jky
zMtW1X(s68B+Dv0=eQHy)Qkfc>(p1M3rs^g)RW=#(ozztFB-COeVn}G}QUX&E@i`|R
z^BC9Ef;iN{KfC(<wX5A9JNL%eRq>Zyg?`$V`G;LezT5TVt6i_Y*me7}U1vYp75HeE
z<%3;2-`ln3KfC6?vun~@yN127tJiD0+P|`^@k_gEys-1#l3m4~*_G$1U74QPmEy5o
z@gCXr{efNo-M8!6J-hDSwd=|qyUyIUE9RD6zMFQLH|#oc-LAdY?AmtKt_@f0T6Nj3
zC70})chRny7wnpH-mdZI>>72JzR%b-=rrRvMGPnH>T$xZuE*`_bc}dn?c6hKSL<lI
zT1MH`JkqXa5q32V*wrMQSpD$93lH2p@8WeQ$2mCO<UBj)+i1s1dluRaqy3}wbA<j5
z)9)erKS&%0h-W`>?IXUu#JPufcN6z6;@`<Qb}*jpjB6X?+sZh%Fy76KdlTc|NFFxW
zb!WX@PuJP?ZmnJ4*4PyX$yVEyVU=CER@zl~g<a*A+ZD3Rt_DkqYl&Um7t{YDyT&cF
zYt{n0md&?o^E|r_%(crohxTXNb!nDe4`$Nt47+|$w<|faO|z@WRJ$rov8(=M#x{wu
zOr)I&%<FjK9cS0UvBWrrxgTxU{ZV#(7-?60WE?>(!|l>Aay67(46$qUV9pyv-vg<U
z0d~dqx9e6v=DM$436QmqU8Q>4Ri_s@>}l8VQ1a8muC3kea&)7Qu68}?LVTSWFN$}v
zt9D1bx^%E>OnbYQwzF$rTf3s#kf+vmeQjk|8We3wn=QygbGs%sqb{4;Wo=?-%~QLL
z>|7u13TkMV(ZH_G^_ib~98=fM{X68Pwq5UQ*_8^#YudS9+BKj$<1pwe#LoY&ZD$W)
zEugT-Qx&`VSGH?GC2~`dd8<H9gNXxW%QGM4h_$R;>&uY0(&VfZHIITN?P^%Ut|7(k
zT2YMg7G+HpVSZ7dFs~J|YiL0`pPAX^&2QJke0C*9$soJh<YkTJVa?^X>r^hgKIUZZ
zP%{UyW~aSuoRgK@Ww9$IDrB~+TPDVk(JosC)>wMlLfLfWGA%hz!}F=_x|fRDLWPue
zg{GiRliTG<X4mti<R3MX5N~3;HYT#`WJ2mO0kNW0e7mN{vnwnv<BLP?Q0<>hga6vJ
z`HxL!f7|rumyLTvZR+~drlmh@iui8Rhi^6oq4igr=6tcq_1UIZpKQv3W*=>u@xdnZ
zy-hFvvne~8y|ZcNTbrD3Y<m6Lrrc=#%BJ}*Z3=&3)2HV)6-L)*Hm!PU<K82i;-JD~
zVtHiKu7@_=eqd8NG`Mfm^m{h$5hsp2HWfjS+cvKCHeJ4H<9)16b#B-+<vMX)v+3hi
zn~I~)6`QtQw(*&XO&QVrqD>1g*mUf?O>t4}oK54;689O}J<XUg;FL{!Pule4giU$T
z^|(!&j?qS}O<B-3hIpgtH;UNMBGRU15jLF<*pv!Q!);pPx9OaZ$7t#$haQ_QxNS;{
zmM)uCI&He@uqiV-m^N*++jQ4Pju2|KX}5(uhS^jMLyp>HJz~?>!!}jHltVT}9keMC
z8XchT{j{~urflf8mvi@!@7*?)!Ps3k`FGkB9}Rcdw0yfwH@49a`fRo7$QIh&Y*Ps4
zY$E23Hf2J$4L0ptPfpg+CuXjtF4hn)daSnT;3}KGthC9%f)(_?+@?GjxXdQUQk&wT
z=@RB=u}#kw*;E!&7TR=r0XanP`HX3vjr+K4YK#qY81HQ69<yfIbZI8J$FLbT1*Vfn
zbeU$;p{X|gp29iUG})#%lWeMrMH9*21e;1?>UeTJj`J~MtW7av7!&%9w#hS!T0z&5
zHd#j4lmP99+jL+UH9wU4z^)-SeIHC8*fz+f&jW3$kIe(9tNu3C!=`@ZrmszPv8fNw
z_vRRE>BaFq$u+iz(oPT70rqsK{chAh4t1qpbnar4y)*HkS10DFBXMGA2b)f`Cw@$5
zXVaCoj0^MH*tidX@nTIY`fo{$*xQ19qf2vYznM)LFs!LfXPU6SFsrdm4;oSH*wE0X
zZw-h8mipus1MAszvaU^qFuRUTk89gh16ym^^tUGM!dHVejS1Clx@p){8S6uA`caMg
zg}bUvSutL$lPWd|n<_KrO5_@Wii`&{E7<fjm>gn%d7F}Ba5?6ytWD*xrVMSCCN~I_
zvMC?tmZY9bkVn{xQ-hdTj4>5u&Er53n^I#`VPY#pO=5RJ+Q#q#HeJup*s(L8P027k
zh&7Ox<FF@>O(`)tH}#W?_HZ~Sdj%%vAlB^EF`U_`Z_LliTxYSV6JjzmFIbm}{9{l?
zo33TBsX7j%rwvR?N9<|YGZ2}EJqc@5vmP-t75iICasgWk)+81tr)H9|K5!{1G2&1X
za*H{MsjWop54ez!HH$+DSofG0pLvbPn#R?*Ha>Hv%{c7WSpLtdxETJ|s)v89YJte#
zR+Yi_Usk2V%%4_${$W*bT>EZSJ-EJERTP`PT9pdZzF76~vsJxt?UPjv;QMG*DeU-Q
zRYuHvZ`H5=tQv~P@2qNv({HUZV0&X#A#8kYRT|8GW!2A@9E&F}tm=Ss&#kHr&oiq^
zW6x8oa$v<1tCC>qW2?SCvT}XkoQGC*!lehqf{6Q8RYKT3s|sV=U8}NS*&WWs^xO1z
z%c_xhbCa>+-VI{Jh3i&6hqWr^npGiiUA3w#4qdUTAhun$Dm&I(vMMbWU9>7OW?Zo9
z&v~oH<I6d6jJId4>W`;qtm=Wgr>*LU>!+-0jf*F(YKqe*tg4UL<5tx|<T3IDf2@`7
z^R05nSXB{bv{mI{iy|giBFPPoMp#u6hXYoXz~OLy;;^5eIPBvm4tqHcM?IVei<@>}
zbI~qLC;h<fpkMe+;y|RGxDab2PMo$9H!fNj2d;-PF5ErJIPvrd<Hp;=<N;p}kr(_q
zNS=@wiw=-Ktl3XKv2CAK1#n<5vB9y&s;Y?EO`kZoi@tDcCw<_>4(bJ8w_7zC39xV*
zHH-~gtqQ_{EsPJI%~sXKsZCb3#I221^~9SER*lBr^;XSA8mwQ(xj4Ais$c}xP*b?P
z+Nv&izKSv7*GjAAAT2hnpq^n}ZdEm$SY}l#+*@kZ0DN7-xRDAQ7E?#CE~370Y9V!p
zCktp7f9Ep}WWnxv#E-yStD4~U9P)~9vsp7pkL|Nqcks`&sxfZQpilgm&Kg8!?3u<`
z5Hpn=;>i>%_qdQVteR|9e%L3m-f(3i>j7UUkP~FV{_$2-!Rc{Ub;jGVtUsj1&M~x&
z<D*%(cs+{wKx*t5$!j<<g7t}a!&!UCfW5<L6K97qpZGGws`<zX%V4YO;N~FKH{xQ=
zK&y%&Vt`d`@TxyCAOrUIBbT_`m;B&gAFEcQ7$SR<U%c(b-iE9=+S97KxEo3ykQ_UD
zSXCJpx?B02f_dmhpD2lAU9IYhuU)KKf`SO|Y*kyl>qMTA2kws47hZR;Y8G<B(cY?N
zc+rj;Kn^(CTGbq{+Hf3l!PS~`@un5+Aqf7KR=&Hm>Qf8)MG?d_x2hX{HX}Zi#kr=;
zITB$<6LNuDjjbAkbU4z;sz!Lxkh(z-0u7i;{HRYmD2EI6tQvw8I8c{$hi7$&5kZKk
zO&;*O7JE0U;ATy$#vwBtHJBTGu5Q&zl*L7Zx<*=9Lb&GOLp7_GqYN%q<#nWmMdSdV
zs!*2*#<j{;jYSr?E3wbuS4GwwLhzshc}0F43%05slHpK!_9(nBM=Yp-n`Nz<gxrWK
zL!BcD4wmLvd?-cTpfc{3q*hS?CreO=NDH$#b&fy9SbM08*G0LuAQ-obP?yM$lZDAA
z(!*7V+#vxD6lDJKwE*KlO}xm@9HTsL<)d#D#`z%T5jhc)*Q$X?2X`K;x+5`;<faz!
zHy3LiP4P9SRa;OO?{YB52*I=L^n;3ckc~Bmvbdd<c}59b%fc8?7#A~JH4z1HJ`?*m
z^5JYo<^_3iIs^MCa^qxr))aE%R63qV9-L0gIFJ`-(r_+<a5gn<q5v+YV(&l^Tun(1
zPy#noP`4<9yUB?e74SG2c}F$8N@~?w)W(M-j2(^eJu&+zS|KiuCSo5)a<~(+){zm>
z38+Kl#@YDP35wxXJo-Z=JdaBrQ3s#nu=k-Q;v(#yMct7G5q~WjhCI0N$D(N{jR(Ii
zT88R)|I4CnXn}aJ{j{hTGUC_|3->-+R2VnETeJYen{O6vMl-~P?W;w-kr^kySTqqO
zaR0MK%TWtoK3TLE9gz|dA1xY*g1Gs?qD3(9@x4X6(H_YW{+~r7P!PA?S+oQ-@%61m
z2hbJiaO{mm6HpS5UR(Iy$)ZMx1M`)Ie|Kh4Zd`e3;qQHmLh$K@Mf=bN>2UnHMUzk#
zFP>Sn1+9?`5l<}|gW`Df#G-X*iUjaHCeJ8@dygzyjmC%%&qIrbqcHeCnY9K@kO1EM
zj15Kc=$=Iz&=ScIb(is=EMDEQXa_nX9Zuc0Xa<DOw=6o0KFEz5H_15~B0hXKEE<iH
zcz&I^Mn`18xoZ~9Lrwg?YLNrOP!vzDFn+X0I-I#|(Hzvk?@JarF#;v<;-W=6(G^*7
z<$^^^(GUp{ah{q$MSMDE(NPRUAv`{7(N=UqW?VkQxoCvMh(2x6R8+-}Q^bgoD2=x#
zsR8swemp!u%;<zHxO&{86=;rBICG2|MtvkgOe}dsb^MJXSD1iG_!@1I9V1W%@1uwt
zLr?;5A}u<I0VskO5!5&Opa7l($O%Fbgh%1bAwm&^M}8h76hV08<1s=JghyT;BNX}Y
z#KXEk9~8n1w}tO}=pV)K#zh@q2uk6-(;^E-pgg`hEOKE2s^YK7ykG`uBN0y6$qyPM
z6)xDwA6g?bZdqCP=#G4NW+4U)LMeO<W36Evguh2Eio`6`LvoxyV$n*pLw4LhOrFpe
z#qi%D_7jYS@b4fsfVpUdG`M<zwSsQQkC*!`I)ag?gg^UOKbVWgNQ-NGE!v3gD2O+E
zxXNQ3LXZHbcC#;{Epp(|F7^iuL3#Y#NzO0_jgcO=c389>{ZI;Dw_D`LEHpwo+}y^x
zLtm7{m#x$qW}+d|;no)B8v{@lKQ}W5EI><S!=p{qJ4T=i;^EXr<_H~;4{tUw2bh9-
zNQ0Z}X&VDk9)H%cUt%fRBQIX9CGVJoI!KM1YnU4hMn%NM>DBCS=!PQrw2JX!E?OWv
zo~~rAU_5Fe6>hGuXcvZ}3KHVNa^?hmPzJx3u?J%Xx}Y#VE#(@3`Dl$ic(a6B#w;{P
z4!l^*dc`y}Mix9-WKkF<p*}L;!9t4;VH|2BE$%H~En^(&ARX?{=QxZ<U8Ki@d8{!^
zKs{u@!@1NRCZawv;mI6o3)9dPIq+&WF=Gx|BM9$jF*YnhM-;}_ne0ngf$k`YKQq|7
zun_}L8A)(`x<z|18nuxgkEXHiF%8X-3vZ`VZ&-+qD1skTxK?95`lB+E;^t)5G{&O=
zvf||=i`<xx4k&^j6FDF2(I1tO47VqcH%vxT<i`8)>;qVVo+yumxHgVG6XVbT+3<QS
zv0^d0q7>rd@)-6%j70-v$J@~s1+W}F5sbvRIg0tjWHduwd>Uy{EY_kwgp_zNg1W~X
zbU<<Z8*b4h?8Z1WLN0t5#@t{n2A~?!;PFtdOPG(&D1~^qHiY$xDQJm;_&J#CE_PrH
z8X^}y4q{DW1BRd`GU3%gY6L6L2UU;?j|WgsSd36qL<&6YPb^r7?g&OQ-0#Qwz<hK?
zIV8c|zSJt_qBF`M5$^QidCWsslt(f==uP`rgiusMDm>}MdmSu8A5=v;yy!{%ScL(o
zj!bwPN-nVxBhUbO@T~{=!EQ`KD-=as-004}f;s4d@<@(H-KbA2Ltlg-Bi?pp&aoMz
z(F6tXrwi8*9L8*PK`>I{X=nB`tj1u}K~8+>WYJmd#$>cX2_(e5j=UejGW17HWXI<Y
zoP#}>iuNdjWO&@3I>%}ZK|SQbk9O1^4q_I%paN3kMO&^3*n}}?j-p6_du^x(tiT}D
zMIQWY&HFJN!90YbDl*}HE3O~dg(+x{vPgkvEm^bJgt2Ie5=er_EtpfR$0#&IQ6$8J
z=De@P8VpBc6hb`QZAOe(i6Ll!{P@?D>mM9gfgxy!f{2HEO{gub!3Z=(Q6$2n#>9dR
z7=xB5iDY=zh<srSCZH|KA{AaW<XVGWn2xRxvfxVt<^V^r2>nqP`49(p>k|*wVia1S
zB$DGrJ!%d+FcqCq8JX~@F4sI9!6FPmeH26jJgUR{3v9t8bVMa&!spt=gfJ|@AT&f_
zB*K$gj1}831)Wg^S@5+cH2@n{U^tqi6jI@B4X!UZhz016`Y41%cv_vcik+B&9;lAo
z_-l|4_^=TZ&;gZ@8DB$KYcR1IqtOPz$cQi1cpWBIV>H?z7#Z=UDzC%DYK%r31S2E9
zh}Xd#H(HI+XoFy6#Fr|(4hPm^96F#1vg3DU;zu~PVj6m&Ch{Qxo>pRS#$L=re>6lf
zq`=#X>{&R9Wf+c@D2ELAQh{p$oLG;E=mG<I5g$*3sYmR`LJUSTltFrYDbMvDZfwM4
zbVCi~Lqa?+$2A!Tu^2<q0_Bhq-^y}rgcn;d9lcNwMUfKk%W$oQ1M4vf-B1$+kOZ$w
zGhSG*3S-d`)sP4A@vIcF;1HH#1lphyvg2<_u2qP^J}km8v_>W5KpZ?N!QUk~gk>0o
z_Na<HNPri`sb7R)6~>`6sv|#=;7u{s9_(0$N$8H+D2x<%UzBwM7dB%C`l2z)AQOHS
zVUI&B4qz!pp#wsY4@vO0FzXdgY{GQ(K_iq#M*J+qbr~_(k0lt1_Nay+B*vS97F~n`
zn=k|Y&=lp74RP?S0C|8F>o5hq&=94O3BU8R&)@`(U==2yJL;l1(&2kP_Fcr_0G444
zI-@2EBNaXev3DZ^d$1Uz&<QnB1ZnUsFYO@~hp-Y8&;#{R3YqXH4|9&wuwp%?p)Z;u
z7&#ChuX2+YxUdy-Fc_^N1R*Kj=VI+39J{d?qtOL*Py!k8CnxI=XJKM9W@9kgpc)Dw
zCBEcf-#{!5V>KqDH<}<AIgt==v$F@mkKI^|(ddFYD1nUlla2my7A7`h4u+yVYM?06
z<9Ak$#W^^!4f8PqolqMkkO}{?utsnZ9_+*-j7C?~Luq71JiN}#I)ER0uoUCa0}W9Q
zIgk+VGLc(EU_Vx168fMysvtj7;d@4E4`<-OHY~s>bVYrXMGhpw`wY|;VsHfOFav|o
z7S&M{8SpnfW5gx+um{U90lm-^l@Np!_?nJ&j8m{<3+7=Yx}pKfBR7)aOInV{X*jSQ
zi!c_UXo5<}hgA5HhC0T1c(5DGFcE#w0##86>F_5t@#8YWu^+226$8)))lm$Y5EpM!
zk$XhpFxFuvhN2Vdp&W7}IliUjy&KNMi@jKhsThcMsD)C<j>Pzsf;|eS;lxfX#YFT)
zD;Ow-%!rTwlJj>Uj>CqnSctLciDnQAAwB*jqvmiO(Kw2Yn2V9<jwYyrLdbx)c$buZ
zZ~`WFU@0b{KiZ-eN+Tzd;ad{s1s4&HgII^z7=dnRjLIm8^oWDEiK#^#haKCo1QXE@
zZBP@XkON8aH4*v71^96QYcUJM(G5)?6hUSr#HWN@8*v_f9K?Fe#c1?I3m7PY>`01l
z3D^^G8Id@O%~*)>=!-U}g)+#El=u~&zwvP$v9Mt~mSQpnq66w782OME|KgDs+{Q^b
zu^THf9YfI-O;8oZkPS)kJudH8a1F7rV<%Q%I)<SenxYztBRi7eM;z7)uHzU??7~XS
zz;JX&GlZZ7av(W={tMGf+`w@-up6r|6C=<A&0(M<av}wO{SDJA+{6huu?MR$3nLMV
zmZ*uc2tqo<!^b~idW1`ef)zWk0y8iIp=gPkD2pJZLp*%^&H1>5C|I!rD=-5i5Q>(l
ziLwYnI>f`rU!0Fih=LV6umUqM0-<P$nkb7Pq(eM>{K@&ageX|C11m5CBM^#KsEuG0
zL}nzxk00a@w{Zr39KlvB!*q;5PqaoIR6rqQK~ntu9;Vm0gR=<7QEbC<%)m(WLL1aY
zMHEI>B*U+7VSI-brn@+Y0K%{xD=-tI&>L-050y{^*^nH+zlP~8?%_NlV8ITo#4L<P
zAGAXQ2qlmkX%Qb^zJ%#HZsIijIEw99iP;#7{^*1zFi-~hkP(UT<1=}|U7SZGY}k#p
zn2(7VjBaRwS_noVWJPlP`4p!A@DP^~3n%ttBNk&ShNCCipdKot7;+*t;^NcCFg?X}
zoP-yLu@%cP6Qj`=9nc6ND1-dSjAZ!pAx!V_7}szTJ{-jktj0V{#1QmAYt%y(lt3P&
zM<V=q&-~*)E+G~!9K;qZ$1IG+0CYif)ItRmK@OxwJbd{tjC+i!Yn($Q?AVJ9Sd3{H
zi9YCn#xPJ81&{^F@%LSrKHv$i;}rY|!%nQhd`!YngrW`Vqbf=xKe8YN;^6aJ;=>(W
zKnz?sgl$-bd6<M@=!N!ZjOr+l!pMO%NPzEe$RQr!3QoX>FzmuQEW$L5LO*mybJRv9
z6h|IpKob0Z%{=1?Zr}_eV8=de!ZOUlI1EB}v_^eYMQP+m7NkHNe166FaR(O=0~Zcq
z8&+W+CSe$Qp*<R-I)YIYxsd@$@%JV5jTg9!OE?Z6EZBpMScch{fT8Gx4rq#6sDu&-
zLT02uTzq}Odd34>#VG_}$9`<VO3cG#j6h#>MhnyhH*Bjk3LqO&BLRLq57Rq5#tocB
z6r4DO?O20_n1<09fNp4w1_(hp6h=;@Lt^}XM*ZR$ZsP)C;lWYt!g?&hOpL=|grXf9
zqXsIVID(J`sgM9apHd@uhC8@~69|VL2e1umun03S4nxoj9nl<hQ59uT7`c!E$q)x$
zpHSa;gc~@A7<dqdJ=la5n1?ACg#qY}wrGr+sDzTpk8DVTMEL!fYbsvg9<JaNBH+Lw
z?7%uK!7NO`F!VuZv_yS`pgf8q4>BPI;^F%v<{M9N3m0$<K3K62Td)cXFb!ic2%%_?
zrl^f7D2+nMg^Wmn`1tvdxyK9K$2FWq47{*nKek~lmS8p}VI&5i2il_<>Y^ITqZopa
z6={$de;=^-;td|-7B1oh0&w6kc3~q{U_Pc{EQX*rI-?aDq6R9V6bd3IG9WqP;m3XI
z56^KAS8)c>@W6t7*ork+j9Hk75$KQZXose#gQ_TpqR5LZNR34JbC3NCuki>saRJ8>
z4iks46C1D`^Dq@-Fc`hi2`$k8)lm^8Q2;rS5h;-nf9{f3yv0-8#Z{a|Ec`HW7`w3<
ztFaifF&U#V7`@R2ZO{aDPz}K-fda^hj7W)u_;ZK;@fJ^U7guo>vGBvhVeH0ctj1!@
z#$=4fVDv^8v_TWpK{W)U1PUN0G9o1s;?HgR$6GwbU0lUk#KI2~hp`)*u^Njp8<Q~_
zgV7sZ&<0IV2h|Xa5-5P2$cU6kh(EXJA8+v#cX1VG5eq*|9L8>J#%e6aY)r;z3`TEs
zK^rtd9aKXwN}vF8A`?<03F6}CO|EZvgQvKM>$rfEh=Lb(9L64O#X2m<0?foDjK&c3
zMR#;SOEf}lR6_-nLSf`ZHl#-iB*fnvVfu#mc!@{2jVm~dV+g<n3l3l>HeofEU@oR%
zJVsz3dZ7#2q8aL=2CASOilYE>Av4k-DdOSRb=D@{;u-Ga1}@?hqTz#yBiM^=SdSH0
zh*_A7F&K(|=z)%Cg~q6Z5L85I6hRQOBLh+*5&m6cug3?x!eiXQRh+|dM8FLz4q_KJ
zV-1#K9;RagMq&_pqbu5>IU1lQgz_kXg2;_5NQ>l1h<{hvGw}&;@f;6v8&`22ClL)l
zoUq^^c4I5nV<i@2E~aB5Mq?=YqbItc9a^9f>cBu{ltT#=LSAG?Mx;hk#K)g2)EGYC
zHJ;)=ZsIb|;y5DVg^8oskDb_zwOEdYn2o6zkC7ORzUYBYXoF^GfLf@AiYS9(D1h9^
ziu6c{#E6Sum)RrmA70`y?&3Nw;xu9rfEzX(#$Ig4My$qC%*RYj##ju;K=ej8bU-UK
zK|R!f5R6hNf_%t{%t(vmNQi%zn16i2TRg`@+{RU$$4NxP4<{@*h~3zV^;n6;n2YI{
zh|w5|{^*G=XonVPggP)#8Rbv{g^(B7krAnp6bbO}BKsb`;5}aB86M&euHzEU;sl}*
z4ma#LiUZh<ZP<u4SdK-Qiy4@VaTtjq=#O6LhK^{1=4gbvsDY}eh_Wbw!pMhQ$chX|
zjbuoOIQVse_p$hZH+YUmxQiROjB_}N7zE&fi7*_*9&E=Zti=i}#yrf#6pY6x48;KS
zMt5{VTeLu9)I&{FLnV|$NfbeT<VH4RL>eSVBE-e-^Q=vL#9O?;W8A|{T)}yqLM$TS
zg##8G!d~paW~{?XEWv!t!c<JaXbi(Z^g$1FMmw}b6Vyj7grG9YqZEpw0P-L^G9fKe
zATi?M&pGyKe8M}t#1q`dEnLL~oW?Ok!Urd;IE;PRi7i-<RalAzn2l+eh%p$BLFkK6
zbU}NxLQ^zAZ5XJ6V3bBN6hvO+KxU*vN+dyi{5{K>!B>35JG{a(Ji<NP!ZlpNIh?{V
zL?Ij=IAFyQ9Kaszz!q%48mzz)EWjMhz!Xft81(7W$2j!9w^4CoZzFM{-bRk)y^PU0
zdKu~W^)$Ye>uF?<2sLIm4mHZ&>|x~V)5B=@sk?D*T6be!s_w?@P2G&xqTP&o?yg3P
z`dy9m*Si><`*bm$f9Y)4XLmNDGIlo7?dfFftkB6AeY~SFuYE`3&dUzQ@QEFax+yyt
zowl|&EM?jo^<vr?Ioh=|%Dif8%$eNQ$d<OP@pe}m<6osVM)R|+jR!qi8%MvkGJFeL
z8Hw|@GL}198XX$9G`c=&VQe4Q!U#&;!g#Q|xpBK{b0htgX2!gM&5SDXn;AtmHZ@w8
zYijsTH!-^RYGPFX)7a>|rm<lw)!3+evXPOYXCoumpN2-ywGEBOWf~e=&NMJq^=)9p
z#A{%b+*04TT)Dnsy;{#WJ-nWgD^)$?z=68PuzGckp-<`<`=-}1vgNL0#QJI*`#aV)
zV!ziivaPLU><zAE48Bs+7&x+~u{~W)BbBv=VQW#tSoWd1v1@sC<G(W1jS-g&qxeX}
z$dSP?YMCL%_O>BL@b_v)oDJ2CxK*nemF`tFc2BEn)X!Jd$a73a$^J5ir;zdTXcc2k
zt18C0Z<URu8!H>Pjmk!+CzXse^D7xYN>nm3U9M>K9aqtKle40+JGz3gqJIU$n!19K
z&=G7b>Kts;jUQ~3J5b(e)uOzy`+GT~=(cjk!+Pb6)Blw<p06!y1XnL>m@mp0eV3Op
z8dWJ{bbnmh*t@8-k-I`^<HY?^#*X==jKk$h887daG}_K9X?!YM(ullU!U)VOVZ1F@
z!f15AxN&nqabs<T;>PSp#f%+GiW&b^DP|0OUew66s;Ke4dQs!Y+agApjYW)g^@|uK
zzZNz=?ksFPX;Iin7^kq&`bZ(;V&_7}q~wK+HlBh;r~U<vrCACZ?~fNSri?9MR4G)z
z$ag)zQF(5DV^YQZ#_Q+#jJfOb8O<8xGiv_~GI}2jGOV40jAE&Rj0=Ih#`fWPjV<}|
z8pp2YF|y6eW2~=|$Ef`_w~=jIZX<iE+(x}bxs5IETt@D}xs20!av9sN<TQ57%W0gg
zn$rmSki*!%JBQJ*V-6!{>KsP4nCwRN@!5@KC9@kzpJX!*t<PqRYnIIzoG_cQ(3{n`
zG(4+Ovv5}9*1aso#?@JjS&g$8YvN}yE_gB<Wk+N-d_^)FLmp-_>aWjaG;EQ{7@0Ja
z5fhows5&8|ai?rXW9RD(#`0Ymj6Gd47>_b#FzQ@LZ=9c>-k4e|z0vkhI-`{{oiTQJ
zIwP`JI-|_9w8rsmX^okk(i*)pr8Nd$Ok-?Vl*V{lFOAVVei|cwAhmI9LTckkh17=k
zV=CkAkyJ+QfvJp$LaB@%Pf{8Mx2H7HbWLgG%AV3_aU+GXZ*>YIU#k>GRGJjV>~qPD
zL5q?bV;d$nb|*=0d^?uR7&JSXk+60$BQjnxV_RfWW9PJ_#z`Zok?vm-V{&*BBl(mh
zhOb%@W7(g?#vFfQW9#I^#;t0Jjf#I08IJHoM!TtrjBM2t8UNxWG7?24G)m1(XiTV`
z(0G<Gp)u-s0wdr21jeU^35=&H5*Xjl#W#vCk8ezG72o)lF}|_*Mm(eT#&|}KuJMcv
zdE*%+p2Ri!?2T(g42Ww~DH+$e@*$3~#EfI~8z09Atro|a6gQ4BaN)m@oEiRwq~82D
zq<X=>AxDq?3F%V#Pe{Y)-yx%${0_Ny{a48B&|e_~-u?_(Jnm=6yZApt7A^e|(l`5$
zkZF6rhg>W7J)~d6w~&fWzJ=7f^)+N+->)I5zkCTfKjTZt=`>$L;&1)@KSSpkmeU)@
z@lt3gBT};dGAg1{)Ne(pC<#T`*)x)?gobu0NhPB}krE;$BCCifGlXne*?at-7vJmL
zFP`gpan8BNi}U?_WTok6>3!mpv~l?)gYJHml=&ZJ;ExZY9`!*w>3@*fx$ot*&3nnK
zYLe_pO>*bWJ8@k1PTsbDC)Js6<;B3a0u^th!t0I1ynZc_>t4&rwy&jM_A9w={YnZi
zH_AotM$!B7QqrSd%9O4z#r^OL2^#)Fp5A{h>z6&3G3w7{V)`>lvw9|NE<csB8BZnS
z#}hf0@I=&%o=DuO$1>dWu~;`flBp4o<XE>yGNPnGw8u1v+N*~$IP{@x>-<m#9(^E6
zqaTR!tNSu&!+lBbdSB>Ry=ZyVOWUS<G9vn(9O-pW+)v+?UQ_Oh$&WiSW6K?>Hoqea
zuG9%EtP@hJ6W{FHa@+2<_%_@UTz5+bcfKXFOK-|~ubVRd+YQl6z9FrwZixAf>k_f-
zx@hZMm-B_!WdGP}a{gnjXm75Sh=H|YcB4krm)A%;-5PNzzA8t&uFA-tSET*+E21e^
z#Jr(e!b7S>qgS<*RbH0#1()TZ)@5lrcuA&sT#_H(s^sjpDmh_WB~PAQl);e~<ygOq
zGQakMIIXxKV+}4yba|z`pIs@Tnw4UIs6xy<E5!NFc}duHUR0dVOV;~yvN+|O%#m{v
z{p_sVjXf*lEzio|duQZYs3LvO$e-({#Ut>v-0FE+LaWPV@``ft?p7}G7f#8`rKe<(
z!6`8~e^Nd#J}KYzPD<~yWwPF<Oq%JH$$>K`B;4nOMChH6LuZdm^Cib6w9|1hsVJ3S
zOH1WTmr~KIIwrGL9Fsdej>*caB_e?((%-m59B&m%L};<RH!GHq2S<fsk4jfKDn>7h
zWMXoW92r(5gFYRRhnYv@;OHZg`|q$^EI2G}rXH5{T8E`WS)p88R47L~7s~0&hvZY>
zA#pK1Bvtnh%94!-1#J(C>H7oXn0Y|L#vYJYDhFhFQGxWHTOfb*3gk!Celb|PUuF*2
zFEx+yWoA;o7&zt2_aAxkGe1vyc<0Fyojhr%*e5Fj_KA7_ebV-Eu5?Jw6>-j$n7@1F
zPvKtKJa@0ScHS#}Yxjt0_#Sb`J+k9{j%eoO$c{-lGPZ4w^sUU6K5MhZX<)WQH}01A
z>APk1_}$V=YqxwpyGx!2?2=#RyJTQvmc(UbiH28}>}#DRiz+i^^!iNk9GodZO&M}&
zPli}~XGo=9hODYh7nkUC8DgI<p1*fWe9=y6T)b0e8SND1$2;WIwjHu_oFc7vNcqL>
zqOxJT%$4o(=KD6;ba<P1F5V_$yiFXQrio8_niNe;ldigHvZr>djEUPS1|zmg^X6Nn
z_32cxS(_@MHmUOVONy*0Op$I&Qsiad6sdWcEOpt*@^416ICf8#{QFzPeA^be<+Vl9
zbhpUb8%eT0F-bB;C&@$YB;o4KQW~>a#yfA8HtL(Du`*E_!V~4IL!y{8Pn5uOo8(RC
zCJC_LBz;si$;UGZayKMF8tf88RV6_j&&EqmXuKE>i<gtC@v`FlMj08tQEZ(yiksR-
zS$i=~E=0$P*~mC4(uxz$tFfZHDONs?jg{B!V@3IPj11fwBO#Mw<ZYK2S>6yW`n#g#
z?(AqOHj0)*ucM^0AWD8LjS?rTC^_^!QU;%hlsoGqCB;5cmbQ$PxtAhjReXeGyGO{o
zjuA4pK3uM4gp1GYa4|FqmoM+a<niG!d9^A`v?NSiRKjHUg$<&&af9q}-ymc3H;C@T
zQ2Dw$RNgNLmFDK5V)ZRV)|Z9I)6fu^=^P@z+l0u$+rhGKXRyqf9W3+u1xwhcAURPQ
zBw8UsvT8(-;x|EJb!fe04_PlGYSu}2?{#AGeyz+4S}S+jtd+Hyf#PlvD3i~wkyMX0
z(&Bl5>{%Hg0qOw~v~9JNn68!{<*Vf6*i{nyY^B7kS}7+qS4!9P6;f!iLRMBRm&Fs8
zOY%E^X$tX|)gArCGJlzL8@f#JmY+l}^pobweo~mcR1*3vm7QmNrQXX|oST-&%djPi
zdAURmA6_gC&WnW~`^d%BKC+>$k1WYuBvC^b$+bHR#o2G6e9%}Z6}uKl6)liIH|NXL
zCG+K-+I-2+nkT6=PYQ3%m7l(I#aDB#w9lC%&xa^-Z?@>HoGpvn&6cnGXGz|OS+eoj
zOxYPcQ|@({DGsGGq<;Ji$@nx~5)!7%e$(mlwaQx-&GQ!R7T$7y*EFdcI!*pPoGN42
zO_kctQzh{D6mg$8MaKP@ETO5BrGD^anSOhcv|Tw#-snz}Pe&(8FVBe*@@;}>q)w0%
z))Qpw9WTiY@RAz_USeM6DJ4@qWr32XIA)EPk;BGI;PY{ED{`Dn>^n}>u6Rg;uZKL=
z@er+IcbPHKT^{`zD^ZzaWun7a@n{?)tK!DUdGj%f`#W0h28@=hZlfjfoSWp$cayi;
zZsK`ll)RcSO0xgCN@TXHB)PcCg%2a8XX;4VD<j3@nTr_3x`^RG7jeAnESrLzMa9@z
zcGQfJsjEgP=I96+e_^=9`3{%Ydc(!{w3BpR;3Q4$oTTx%qiD=_lrh?la;n%t+^0K;
zwx)wL9T_HHrw)^z>ceE!VSD*F#a<HC?8WP_oeZ05C*#%aB<{#ic{OdQ_-GE54#h*{
z$&4X#OM8gCE47t=b8RJF$5uL)i=0~|lB_QhSHY6IjHR(V%cv_Pb!$k%jY%flMj0K3
zvS=Vm{v(h!2_UHg;_%i+bhq1xri+aj{<M~9xz=*Z%UbN!tmRelU@4kASax+(Tq_63
ztCfSq-e{1Vs<V=*QC89&tfcvCOVQeHDb}u*68?9fd^<2uqNfj(Avyy^|Gb5?Uuhv0
z#unmt&s=WAnahMB=A!h;OfF`dDfVqMIjw0X?@tbpp?(7tXNUnZ;!b~2it8_RL;B0L
z&!+Nruc??!F_p-+rlMBSPjUnL$-)8sWYp8X;=Z-7tRB@@%2oP`(J>P_xY$G{^fVE}
zyT+oOU@ZEM#^UhXNH!H3$=`WK64T8{Y;N_DmT`ULi+vwa`PEx23VTcN{ND1udv94^
z*Go(jddV-RUefrlr+h2!DLs9A%2K1A@}R*`7Hl<?4r2|aLBmk0&i0V&fj#86RSy}~
z^q=JI{ZGti{3o{z{*$zu-DPcjcUd>0yX;iyF89m239jlU#TMOU?AxxQxwot0Id+vh
zUAoHKx-QZ^sf#Ri>!SGIF5*+sS@c3W%OmbA7k(H>b&-L*UuvM(BMl_}RVUHh(@C;t
zc9O~6JBj&yeKAbamw}%8;@w_f_SNc1yLdfG8L1~W8hY}*vZLGx>nPRs9p#B~N6{_U
zl{xEl<vQug<X;`6S!oA3zp8`m9^64PzP6W=qW1FEzrBcMd&&Q#BZCg>NWGtq?6lC4
zwIAEbs={^>@7GSwShSP2pW4cr!)-;`zpd=DY%9~hv=KboM$A^Wk)hUY#OFtADJpF(
zdV#Gag<FgHKW%wlt}VqO+Olhyw(M)6EtfB7iF%BdOn23i8?Ciu#<f<Wxuum{^=u^t
zom$D>`<ikhLsMSQ)D+7;nv(iTLpl~{$ibx=GSf;!%zvnhewn%$1gnd+gSsqHSC{f?
zHR+qECI`o>iJO6%s5P{dd%Ii8h50SzYX6qf^r?jyA8R3N*R_z>_ASIuy@lvpZ7$VG
z%_VbUbJ^Ivxg<STl_UA8^43pPY;9B}@1Kg8RjA07SQQC#SCMg@R74&%lOcPX$)qLC
zBz{mcx%Wp|hMZTHld;M&&O=#LJ1fiOCrXl^rzF|SloVuNC23Gml3}U;_=nLyesJtB
ze|G-MQ2&Py`TSw8f4_Oarr$is@HhJu{o)%=zj)!@pKRgtlZ}*q@~F)}cz5p~Y+U-C
z@4J5I(~rLKjpg51SK}K;?EK1o27cwQm0$St<S*R)<7ZwI@tIY-eC88{pEzsyCoX>Q
zk$?Js<b|3aStIKM-?sk1*RH<jUvu8`n7>VYb4wFPm^Sg8^Y3`sly|)U%Uf>0@h$J|
z{g&sSdc$5`Z+O{<*L*zsHJkN(&DY9aai-@h-u|JH&&4#dUhhUuEq}=llU{PyuP@ke
z(+l?K_ks^qK4+NuoSXhW<Ev@U_}-vrtaJS-uUPVwo40z(r}jSK-40Lq$m7TSe*I(i
z?DCi!OCNEL*CUSm+Q8{a4P0;0z{6@E@~tHgd9(II4%q*IV@5vU%GdYVH0C~+ncU}<
zRrNe+K|RmcsOQXm_qdtMJ&t>Qm+fNja(C0aY;@%gPgrt?54X9)gA42Use2ule!0!Z
zQf~7jo7-$re~a_i-QrRI-D3T7H(6`$O*YoJ$&2^j;CrKQ@Y2uMc|huQ?m*Ysu;Cg{
z*l>-Djjl0Q*YfM7wR~E)mQNk8;iuj;Y~G@VbMmgT-I%M~{M!|Nzx@g~v%kXFSk2qw
ztGUOZYOblj%-NxrIn(4apR2vZ+N&?|y6%^_!-XoozNCtaJ67@OQy2N;+>1P-%|)&#
zxxn+MUtkN33;f^VN**-1l9x8G<ZA^LJi)7iTQsZSy1esTGwwXU{dbPd_MPKYk8|AX
z-&wB9J<A6@&hq|$XZY&AGpsxQ42LM6VV(V_`GVJJ&Qd+inFq`H{N!@hQZMI#qEoCn
z;}n-`pW?LRCpmTANiOYhl9kSu@dDp6{@$gG_gy-{L90)2K%Wzwdh<Bn2|dnYahxj~
zN_km)DceaYTfIHTF58ds2A5;}=w}H}-&ew_6HB;Cy@U@RE9O)4i}{^?G22!h<--9-
z*}3mgR;e%Ihp|QcfQ$IwyCZCuafJ7dIl^WtNBHiM!<;kcFem99=G|3=d@Hb!O$HQl
z#-l@QopgvlIv(Qc9|yTA{~$L`JIKa52RWwV0BZ*v;6l>_yy{T_Puo(!b4L_#!k_(o
z_t1WJn6sa2JMHInSMzz~hI~ewe0F)4$7^=w@nx?(X6-z_dUhWNuinQV1NO1gvs|9I
zEtfZr$>ql_b9wy9z5L35FYoNTm;D~^;W=CPaKPw2T+nh4E1$|?{}nmhvVRUAdzQ^H
zJF+=&TsFsPWpmm2-P~&3ZeBBJH>)@8;-h<ZaftUW_R-(PE3aj7MobpJ9G1mye>3@J
zaVD=`n#t5Rle<34;I8Qz%o8#=KqrH5Rj2dl$aH>bm(J;bcCvrTPM*7LC$H+illL_4
z;Lp2v@HFoo{L)|t$KT%09-FuGU^hiHxAVBlZM-RT8^5yM#?ybN@t2Y`-m^T7S6HO+
zjHa!;D1R$&p1+lE_uk6ZPgD75W-5=Fmdff~Qu)E%6s}24;fLc>ShGV4yI)V{l1<4B
zqm#K#JDE3EZ{Y>8TX?F=7GA8eh0`u3@sr3T9zHyYFSbnLIhC8aTf}Dm?6{eqwb;xb
zD-zitB9XnF68Ut?M3xJi_;%zbjv29uCuwYA$4d$98k@jNToZV|b^^DkiRU$&;#t!@
zo{zSV=fGPVd1~rLo-}bIFYCOKa~{O;=ZrX>GBb`J^@`*5FJsv{FP2*^j^$rwv8?(z
zhK-72cy2%pmvanTD#!4dbJ4sYGMY_CMzcnnXjZ-v#X6}`Y&$uM!@5WDv!{_fEjN-s
z`9yN2MI_Jv7QrqjBG@T7f+sshaExXI->3=aLCN7<I4PWm{};~Ro`-RHei&!@h4BvS
zFfRPNfg8?k;65=MIC9JeZl<?^w>${tq1mC_Vo@kRwFu>VKSKC*c?h?U4B_!^A$(9b
zgbg1A^MUMO_V5YjwpPLX;&%|=JQu|Eu|fRHBZvof3E~!)*7NO2>$&dDI@VaXju*9F
z$Nw_c@)?V@Ty!pw>&6Fi-^Mjuux1TU*IvWJG6UGtGJv;Mu4c_it2zJODqb6+i0&%R
z-?x%AY*%v1^%d+sZw1Sr<?NNXoHP3@XT36iJ~`H(6JIXlE$fzXMf+vkE6<M)5B1|E
zbxRfN>{4FZVksBz@MRM#U%qsC38&3k!pXlEb9vHY?r6H0x1aanQB!@`^xGn~Nm#^w
z#*4V_%tBr`c_H`xx`6c(7O=U=0$zD;J~vLC&yhdov3t@yb{;T~eX8bi+3dM&qdb=%
zZJ)zM)^qsCjoJLrcQy~wn$0D-vv`i<EVg|zlZOS(WdANR`D*D59_KZKTYjC+Pd88J
zH|Ep1YmGOrS?tX!THbs#ZyIlQp2pi6r*d`VR5mu6$_Fc_@btM;m|9NZp?fB?uhV3{
z_+k=|jGUy{!zc08ixc_kf{FY?b0Ux2KY=ffn!romd$A;X@nB0Yo^Z>PcdznfJp)fJ
zDjUyhyvOr=mGK;uGmgtgjAP@s9$cE>!Ty#WJigAIy#w8Ob9Z-scWx{%oj;a4Ymeoo
z!ZG~Ha|~<!8O@$qqxquKXrB4jjeBl(V=Wsu?(%RHj|&^cNBWLpxaP_)SGjUoH&;GZ
zF_P<jMsn{CBRTnm3!Bbz;n$ijTyxl&?@e-MEmdcpoj-z~dW_(xKf~E0XE-~!4d=<<
zoj5JiiT^q~apY%59=y|$TMc*QmLDD1XuAV1c68vo?}zciZNs>S<1qgF-k$$$v*+GU
z_U!l3j-TwX<JBYV*z(IzZl5`n^<9Uu{f{BMDSHU3jvd0=|Jt%wo-NyW*|IdZ<++8z
zMbm`)XbG2<GOwJ+JWiL{^BnP7KjO;n#8wKOcja2-z<$W%?g5XD2KKW7E_!Lhol|W%
z$H|7>zgct7J=Uz}Y0U##TJ!wk!CWzSFgxlE=Ee(yxM1}lPBt0DnfI*tN~{%k6)WD<
zWXZiVE&2XfOD<Nm<ike?a_zi<+}2<qFRQlTZ|g01hlK^terC>YspdS%#hj!5nsMDB
zGafP9jO+ExIN|aDo)a{Hr&tc)<uCj5f$jZSV@!VzZ{D8`OHKLFVpA?RRHUvSKZ@(e
zhW7n9{Ci(kFX+qrXZB@3{l4sZ)r6;nnQ$nYaMcH6Hs5Q^B~y)gS_fn9bJ>VnhZ=E5
zFk;&eeK=xoA8wk~hgWp$!(FcS=BMGk`I7YJ+ONI%TR|_TxxF~ETQBZa*OM<M^yJtP
zJ$Z4np1kC^A;<e0@>Nqq?*F0(=V$cb5fgi`YWp7ip!z?)9q}JG4gHUM{qD{IN4xVo
z-|igLw>z6Z@5V}*-T3XKZu~>H8yjBh$_wMVa_#W0JWjPMe>>HMi`R7FErYx8rca$Y
z??7jMvamDT7<K0Srv}WK2K;7<0he?#;H=x7I5(*iSC8q$ty_2E#h3N@Rg^w&aMEXN
zuFtK{>akL=9&6j`vCW^39DKYZKVRLE=UR7EoTGHPyhxW*{B=2Ipe}F!*nuw|>cBcn
zJMe0=4*aXBJ*ORL&*PS~=Y9j)bGIfP?tef>u@>oY#sD2wdEbsh4z}YiOWW}c^LD)F
zV_Qx>+?F%^+j50fTW<NS4bLiR!}nLW;icGyyZ>p;uTQq-+Mw2a&8{^!skY`mmD(H-
zrOhv0w0WtvHg~Ai;v1W_xL~{%@6y-e!unQRpWcf9o7swkd$;0WjhdXWUz2T@YO=bO
zCcpiz!Ea7zaPwddwsz3qaCHrSSFO&ziR#?SQ=QKksB>b28V6>panJ%a-Z?;xZ+&jb
zMx`xz^ZJ&o=g^XiHCpnLnif1Xxdod}Zow8kTJV^c%{i)|Ip6hf&JNg|FDf_ZITuv9
zbG$0Q8K=rOJFD{TCo24Lp9=T(Q{iPcDtt#tg}p8`<EHp#obK6-=XGnw&M%aC*a2ns
zT&c_<w#r=5Qki?yC~-=v68D_0#8t*h+~(OoI<ev(ZB_e6Icb0CNx#1|=F}f*8uN$B
zp8lreD}Pg?#&2@m`HQZb|DuHRKPhm+PfC6JgPsKcpsBh)NG<O>J+l2yjW@ng_XXc5
z{NGnH*z%Pgn0%$0@-OsZ{1+PX_A{Lf{Y(oweWqcDKGDeGpD6U<M|!#9BdyW?NSO11
zjO7D4+<H&(i{Dd=mhUMqy@}RZH&I~iJIY<~j#O0NQS^?tB!k~lx7s&ky6_FnZT^O?
zq`#&a@S1wud_}E&Uy+gKD_We>NDV_9Y2E#oG<@|-k`6D)`_Kz2aD72WubxwN_;cE6
z_?)(tKcll#o>9kNPboR|DGeF)lsepaLb`rW$ga&3+FJ0KI=Mckir0^5NAx2~H-1Ey
zE;LY&c@4CyWdphGc}TsS6nXK0+#(*(?miF5@WOq%Jnug3RKHJY`|7FOrJmZny+=_S
z?@>Rqd-T2bF1=fJm$Y>6(zud4R59@mdH<=So*8x2#=eevJ-<yeqi$1GzuPpi<`%W{
zzeS%q-lE^fZ&H8nn-r;flQeQ~&=J=g6!Gyog``}kY`RYGA6=sv5!dK<ziV{zS}pBe
zRZGXZ*3!pwH8gf%4c%#5Ly;v{Y3j7AG^xc^TEG7aRe4+?`dv*ocU99Cmud?9beW>I
zU8XYo%cS?_5^YVoL__%!wSHbjD)Cj+)w+tNJ-SF0(HF_x@*=f(aDg61T%ZT$7pPf%
zC5;TPq!VV9H0E9fwF<AGH)a*|@!omr5^<h<EY8#8`{!tFlwvcmI!8Soouz(pXK9kn
zSt@vThI%KSp|f&^HoQJf3sO&$zr$(T^|743rkB%V*K*SMb&9I?o}z;Br|78aDSBLZ
zk}Rg5q@30#Nlup0&qZZ)$DoYrt4@$gzzK3SK0(Lpj?>7<<D_JLoa$bb()E;5`ruSb
z7T=Fi^4??AWx_G4R6j;Zr6m-)u!OdBE}^RGV)}1=F>Ny|ChNyX>D%U`ROfJ%>c16H
zvwcP6Jh_ODXcy6t(?=A~@d%yleS{9)IZWqb57STE!!+hoAywrR((H+a^q+Pi{X2b#
z{w_a6-AoSA^als&T;f3*?sSme{W?HJ2M^GW*#{`6(*dfvT0ot`3MdQ;sO|gxbTWHC
z#Z1~ytK06Uh{}9Ax;CGhTjta9S9#PtGmnZq^C(O^kCva`N8y3{sCeK$QhS|CtFm%Q
zZDKB!w9Tc+i+gER@Lr0r*-J-1>><^Cd&qCb9{Sg559MFap;fUtG}9r6eEw!rN^v$d
z_-4~^lWe;BWH&9}v72l>cT?xKyQ%A?U1S@!i`LohqWT|MG~q}VeO{bJ1;$wv{xp*U
z(=%z)#7sKZA(J}PX3&P%3~D<(gHEVqP}r$-TC^semJUv*q)$8P=7F7Lxo9UHG}=kd
z&vuY<)(*Ngbq8HA*g<u5+o^f-b{g%zol4qlC%&?c9>#2=og=nUK+A39e?E<(L(`~i
zXc}oLrBT4it)#kkE9K!<TKqGWMjcBf=T)gRb8sr9eodiQMJeR9JcXWErcm_fWO6-{
zO#S?msgGqc*?!(a%Z_ZJv;JGCztt8h`jSLmN0X@I$|U+YIEh|<-%LM`Z6>2Nn`tR+
zrdxj!Y5b`~`WTc*xps-PMm3S<S8O7`$W4^&yoqkM+C&4cCeZFp31sP!Ko4~jDEm%4
zg>R3ikZJL>wMRTvJ=;jSxf^NiqK))-z(z{@6i1_r<LJLNan#B-j@qikk$Gh-EsTk!
zQ*N<j+CG+w>SD-qM-1uAh@r;bF?8p3G(9;OO)XbMlLJQ64y9<)u85+oF;OIAqUg77
z6y2zgr1M#kR5LG<KKG9#i!Turbv%N81V>QF@CfSFI)WbE45y>p!)f=-aLO|Yr%NBg
zNcC74jSmW=a;Gq|ZyiPtZ*8EYof~NSoDJmEe*-yw4W%h3Ln$silx~g+r9mA->A=Gf
z8nQQp8ht}3&nASznuXBHOTiSJ6imCO1k?TA!8G7~5N$mcL<XTjR5UV(=IRE~^z!x8
z(_=m9zFbGvf$J!$%{o%gUP~o5Ybp6kAnlqNNDsfSA?J;2=!xMP$~zW7nQj48@oY8e
z2d<`V?N*aZ?kX}KvWl#3ucRf5SJLg~E6Hca3No`=LH|`RC)?S}DdvwqsV4hVUVndD
zU%8Beyq8hI4?j}h>_?mW`H^GAQZn*hN`rs;l3$W9-R<v7i!Uyr0kf7+=YNaIDs3?Z
zSS_a4H9i!%$cM(L`H<u8MKpKFB05sPkov7&NHrZ6QhMP6N^@I4<!|Ow+vxeUvCn)O
zbbcPG&zwgsmFLlb^tlwmb4jUw4&?^Sp+NmP6i_movOH(gm#?$PFL@T}51K`<ZqB4<
z%V&~??o66+bOv1;KZBNkn@)DA)5+RqI(gmorpz_o)V_;19XvUWmU~a5S<R+V;O?nZ
z<~Wu5G)|$?m?^ZP{}h^7JDKMCPo^CmC)2OeNfa`55}7xfMCv&cN!@uOnZKJr!HE;-
z$Dj$c^_~|^5Avchy}W3Cl_%vc@uW5#JSn|&JdN`nPXk+wC+qxiG<)ngI`-XzEYm&c
zmV*bSzj3Gd&F+)~?)3E0SQ-&EmTs7hrSQ5jG%aWhO*I-r8)`;V&8pF4_upu`chQZ~
z{M=~0fg44i8%4)`Mp3(tqbR=Il`Iyx(oY>%dRaD-e$5?8mhDDT;t3bho$ErU+PYBO
z31<qP>r83woT;vC1S!BnbhiBn@+}`uc8i9Swcc=YKj%c7eVyoAXD14}=t!n39O-Wl
zNBVr#fwb2;&`1*pD!4t2EW?J;1B+pl-(XKWH`>z?vZr^i?8s%S9bI;^qorSml1=td
z>g6$%ELDcmoWdb=V)_uWYCD8#%WWya*OvUc+tSJ!q4Xf3S7t(<kC<L;VoI}PTJni#
z?rx&saYQFu5Gk~kv~xa^odJ?sHPHKYKtIiZdOxut|1CE3)X9cc{In+H{nqq%nl*iC
zXH8lagUM<2V9M$@n7TC#qO#3{D9~vTP5EU-(+*fs$V@A$=x9ZKFI&=~AWQPHvZU^>
z29jF(Kx*qTkWhUfg`KpZ_scA3jj;vwd1y|blFX^W*__@gnNz1?Gn(sTMmG%2X!_j&
zq`heX-E$g17ykCAn??PpnNNQj)w4g9-ZLe~&8GCh*_2K+Go_r;ess{UAKfwONB=$P
zOOf09QfrUCRMe_31)Mjbsq0K=`d||ZeQ!)>bB(FTOk>LEY)pL1h`z@g(X|mqRHb4>
zkIMRx?y5etz@iV;zv)ej_Vgx$8NKOc=iYSvb}y<=>_sZ0deLz8UX*vPC-n>JNmbaB
z!oL}k_hCcwTw+Lz`WjODiyqXps|QW??m;g)_n`PY|B*-Xe>B)#kv58Pb$8kr-JPB}
zb*Bl<yVI*P-6%Dv8_kq%<np^Kxs`S$-&I|yU{F_5`_hHhAMQf!{JPK?vo5r;sWYu8
z=uB&TI@9)kofYe^0a@f3(4GYbWNl(V&l)>XL2f77Jiikq8F!*Xjr!D>t53W@pZ1&R
zll5yodYGq2S&Q^2$W)J3zw1aF4|JrHz8y*3q9gf!(xs0_bSZv?E;(82Qm3CCNbN)i
zYP+rjSq<qx{>?g2^||&mG@?D#jA%~*t=f}Z)uAqlI;1;JhfMTz$m?D^%G}wGRA;oK
z;9l)Wzp*V{%5O_4zHMo(r6S+kP|ArmbSbC}={vNcVD&bna-}t;C$=UJ&(>tvxiz(V
zq)pm6+GMg&o2Hp*Q^6N4(mk%FxKCO%&{2zCXlhYWZ7bTIqR5n1RAktSUNmZw#X(I<
zUZF`ktVy{ln&efbLESfLkg}Hs{pzYgTF=$VdcQga`m0kNs*|gVI^C^Oqo71Jl8I{6
zzK0sAylP1rg)PZApe1?RwWNa@ElKZs3rgMAg3M;MpoV@eXz!Qi6nU~at&eC<8%H;%
zBK_v{`LQZF=c`i5a#a#rRl299N(t9gX!3Ry8Zt+P&`gC!{cJ|7&NZWB8=Fzv3C$?j
zuo<bnQ>L5}WttSKOnpWvlZL)BsXkSr4hNKo1C%JxL5Z%lQKGda|1i|;9~M9Vi+bz+
zVory@IDP*g9O3W>r{4dK8OwiTYwh2dm-7pk+5W<Lbw4qB=})ZF_=#h8|4_JAe&FTX
z-|^DY@Ay^oJG$n4!<r%AaQ(fnIB~^S^ltkV6Z5}dlhYSm_2e`5TmKnb8GOc$#h=jC
z{Sy{6eME@;h#!nT;`Q?%uwljr?5OksSMPX_E$}^-)iq)IiYCl!--M3}-{H_P@9<L7
zTMXLx7N?oM#krT?;MRq2@QcP9T(j>rnmE5kl~=E@dGsp<ujv(rS2d#Q!bZ&3Y{a$s
zFL9;oOH6zB0-wjfz=`HB@Y}WLSmys6^K_r%nUZIyJn0$E|ML`oq(8+&c26<!*%O7c
z@Cjb-`$X|g_hZcQdyH<nkFi_nBkVZ!5e{zl2-oE_;9KVg3~hRdLz5n2Z<~i`@!$c@
z4t;>9j2__7EBCQ+*?lb0zmEl{>haR-dTiaQ9#<FMQ*Z$9;pu;OF+Jxl?sC10)t~QR
z*X?(3i~Sw6cwL8I66^2*)ZyF5x3NdeZ44ZE8-L%sg;^VJDLC-A6rG%#=)e9Z9yGeC
zaDd#vlr=XL4EGzTbM-o^ufC2w4X@*@>T7sm<ux4B;~M_ET#MIM*5bt;wfL;M279fp
z!RVefs8e$l%hz1R#6DLs^7<9bT7Lx_`d&f1x@x?zp&I?ntI_tsWi*Sqj1Jb9aqY89
z3ZCmF^cr#rf4!~3)7z>rZ$y>C&vFr8W?w|~xQK_ET~y%oE?^7q3;0a?0=_7##8y6)
z=-#;!%Pv*mh&2`X-J}99-aU_H(dY3xoJY;q=Wx!pbNIyNoPuX@7VY<+#oklTDwsEC
zacub+Oj~*eRSnNz!j01?;ipl{`m~~lU5;(Gm*cQe<+xR;99thgg*mfN;WWKdXmjZ#
zTCO{Zqs>oZ+|x3Aol=JLUCL1H-wC`>cmns%If1#IPAI;!KaN_V$I*B2as2eU6q7R)
z?)Pz}C<<@7-Kk?Z$N!ju^>qxjAC_QZQV9-nRyei)DLlLihjD|#4XmQ@?K;#c9I_h~
z?pcK^_2MsuGqO<O;+(H=jCL==@Y_f5?8YP5P2q@3`*RpAiw@)4MThac!U1%mUg3*L
zQt<O#6;1&K|NU~Af(x}m!6+J_;LRxd)D;<uF2Dpuho+sPw|V&hW``X>BijRb@p}PA
z78c;_MFr^Hy8u@=?8k#?`?2}B{kW?2epIW<$D<qaF~l|>7yisczoI-$_RUi`<nwUw
zi+y-FYafoBx(`)4?ZewQbMeBaT)gF)tKjP7;)sg9SP-%o2iWe#>R)>>vSbf>FW-Y6
z7JG1ZQ;uRz=V1N(9JK3`gXf=S<E*S~?B<<~-@0Vu>wCNL*Vf(G$7?q((cP`+P3=PW
z&AYH^%r4y1W|x8ko`nlGX5n(zEZp8I3m;s{M2gA8qt2P=qLGQeE@oh5R0bA|$iRc@
z8F=MlI<|~X$4SoVSf!DU9+!6FkC>f!Y~)T%(%Px$JM6%1@jI|$^bTy*ZU_2Y-;Rw*
z+j0H)?Fy#VcKmf`8$Q~m$dqmPtJ^k3cR3B$?@q&)bJB33ahifVuocS-wqoMat+>u|
zD{lCfin~fvv3_kT4j7t>+f`H1@InfnjY+|^ZYelMCq>c4OGbxn$vAsjGNv0Q<Hr|U
zaBBV*eCoReL#?(T{!GGFr;-#b-z0_CA_+TaC!zE8&6t|H8UIb$jOz_Iqh4boRuv>-
zl7AwughX7Xl!y@(oA5~NCj2pW6ME`z!s>?!I5{T)ReTcg%)kUp`x%eXr{gg(G9C-v
z;_;PkJi>#Gn3cT|d-!a`Qp=6F;CCEaoQuPDv2m#35r_Jn<8a8+SX`eUi#Ppa(Vk=R
zLi1RheI*9<Q)2Mhv>3c#6oY3zMB|OpX#5izjqDnYNxIRBzH<~t=0;(!Wl?yCqHuSM
zC=9EK#I<RW7&|Kx3;Rc6)AtCpI~#%daS>?h6@lk^M4;c>a2#9`j_pFjQFT-}w$cwr
zlc!-g?LZjr3kX9^$1n_O8-{J}Z@?paH{fFb4Jbo4V9!<?uzOu7TI>$RiN2wjN}>2h
zEfmMy48a?jAvk|=2)0MXxMc|LyAh1ZnZcN{I2a2s81JeDqrt5p^xGAL4}62rTY~VL
zW)M0aUXK??t;ZFw)}d?oI&|x?4%eJqi?tKi;+SuN3V%)@UNsBE%hhY}(}FcPOl=LG
z%nraA_5nEH(Q53yezn3~u^Qu#uR`UCt8n}GmFS(a5?u$aRCEqkV3z+1)M&o~(+)33
zclYIJ`N<z;vp@O{^v9~}%h1(-8GdiS3@;V=Va0eqZ2Y!V!Qfu1@V_p_q4mC~vd$OZ
zcJsx*r<dU1SxXdrs3q7ncQIDGELQM7d@y5^51zC1!Pa$)FnG-(?9^=$-aWGrPtRG1
zS2Px4vjYoovikxB%Vs`q*ghY}4xNvV&*!0c%sk96n};oK&Bequb8*;zbFp*f9PH#X
z2SsNNMjo4u-=@vR*cP+VasMpr?J*1c{+fy7vSwoTh?&^w!wfu<Is=ytnSq`!r=xem
zblhk?9UnD#qgRwSem3`3bdaZETIe*~-ESIRyEzqmuAhqAjHcqCYg6#cnkiV<YYINR
zIvF(rCgX&jlkxJENece+B<$LA68^q25&y29h=#o;;-Z=fShr>Z&g(Nl;k5F?59_=X
zE)y?QyX}d?Lp?EXfG3*QkH@=_<1xo-yn<6O4zuIODc;F(IN+5B?oIJPdj}5%bH*JX
zWw_&$QSPYrXDqtqjm44)W6@r1tim}z22af%g9qD>!Lw&a<2S$2=-Oj6p09Posljfj
zZ|;U)8%E*hgi)w7bQF4gaK)pUu4psX74J85#jL|4F>=;OjPEcKiz{4EX_X5uFm_S&
zw4E^{))^OxGfsFv0_S9nz$A|m__)Og9CK{AVt*Kp@m+^2+z3wSy1@yj40gh}SB`jp
zha-+0<B0cE9WlDZ0VgbSz~S8;aQuy7xFK?w!bdX<<%7L~NpFuUCfeiB*7n%<oE=)N
zw!^9Y?J(!bP}JHw6gQ6=iq@(_@%OPI_;AS(eAH_QD%acMkVIQl)PAtjKf$6RQ81+i
z9SsHPF5~D;jG@CBZ~P;)FD9&6Ot_{u;jjmYeUlN*Mj^VlKukIb_-O^;k^z9~FKzI2
zh7Bf9u)(NyHn{bYHCAr0#&%+j0pA9r(xJh)Yr$Zg*>kXhFEB{qXdHxN#tu^WQU>9z
z3M&Pl+zPKMsH`i$S|T2@#LkN>u~Q#Qw0t}e7w#B{C%pz@|Mmm1^r{8Uh_S#vP8O)9
zVu8(1nPb;A=IB1y9Cv>*!?p*_6pU;$v^6$ErRM|ie%1iIHEjUC>O25D-R+NaQu<@H
zM}HjMu0OuJYKnW~OmVG?Df+0J;_AwNm=V?wAKUjs+h+Z+xV$equkVZBxv#=MXM)+s
zO>lRBiGl@df}g${qg{zH=C3qH^TEbg^VJBWj~e0B6-J7=Z-nE&_EESL`e4b5KG<e(
z9|be2H?}G1jm4{a<0_lp3I<j$9DckPdIt8wAnt`{|MtZ0<vlSaxF`0p?}@dlJ#kBg
zA^Jrc;(TXA3}|JDyRY=X7YRLZn0pT_?a%|A>;A(}Y5!r-l>acH`+o}lM|Vuj>5j+d
zcgG+7y5rdQ-SFJuZs@kM8-9dtSn#(ihMwt)OT)Y3O6RVatlbr_T<fCnbazp>p}L@2
z_b!<Av@?3-cE+xYJEQWz&iMPA0k$qPKnO9wbxsC&x0L~oy4DHrrgXw}Q#v6Sc0%n&
zef&|NkH7u(u_NlEv$8%WRqEl_I6d_B&_iVdJ>2)GBQDt65$%?AMDsx%(fW_B!b_@)
zF)_MWH&z#^lP(rN>VPA1JK#s(4p?a20i%>U;K~c_F)*P$rh2tkFhAR4hejP-aYzT>
zt=7RnJ01K_Q%BKjZiff9x5L!g?J%W(JKX=RE#4__i=Cs};&S)4__T9dT=2XNwm8@Z
zOIEkRAp15rRjZAnKi?XsX12!l3tQt+tJbKZ)EehhY2$+=ZCo@>8{3#@W7TIZOgp88
z>!Y<WV4N1lbl1W|uUp~UqpeUvT4A<pEBsHt6&`-7sc_3_qHdt3g7K`0S9LV;(nAfb
z&(lDaRT^kJOhdtU)WEOx>bNvl9hFz8V~(9Vdbd``0rhIwE>{gTR;Xb|do{FaqlUis
zTjKG3Ezw|AON@7DiF!IM6}*xbIIo}u_77}<>dr0jd&d^|`&n~rf227M32BbOqnqQc
zuFVzhLRCC*ToqlTRq>;jD(3Z3#Z_NbaKd>N9F?Sko-<X@-$Dhml~wRnO*6F5Xod%t
zG*g`Cn&DaPX1L&iGWIG^#?Nb&6=yzWyxc_@Z@yK+k7Y{OW1|wzo~nc=`YYkczyH7~
z{U6L5@(&I^`U_n{|3YEUzp$v{54g_z10EWGAUOXw+!*y6TtEDRH=BRK!9l+u?aoiw
z7x)tzy8Q$^`vXqQ`2jODet>Dgcj!9yJ6L}G220Yu!BzPN9#6i)--xeJ-R~=$uKfac
zS9}4z&R-zl^k-0>`x)|EeTKloPvGnI38Mafgo@oCp^wW)$p7#G#;1OOp0*!A_xXG1
z7xx}!TfT=g_nN>yv<Y6CG{M1Z?_hhtJIL?x4jxv$1*>Im;ef$g7<ujuwDNfaO&#9A
z*ORZI`@GlS)AlvoFMS0|X1#)*+OObuaU*=2-U#hmHG;>{mvGekC7|X@cwF=X^1WX`
zs^$yGIr<!KO@9u?TF+r;$uqE;^$gy%eg+qgKZSF1pTc9Er_iJP32a#O1X}7pf&BB2
z!O!n8Ozid;W?p^-ajPG}o!*bY@kRsO2yTGT0S(}O{~-*Ec?jce9zxWM2XKGO0~kB(
z0lfHlA9iHk2mjIcVd1}e2ra0G<5TLPy;eQMowx_R7u|!02KV6DC57#D&0VPOdly>P
z-+}3|ci<k~f#q-Op#RP~Xz5l5N=kL0f9N)hnQ<F(b#6oV^S7XQ#VznLx&?N3Z^Gc%
zo8TfhVcq*1P?L27hK{=dwJmQzQ0a9T<#Qdd`*m=-ehvJ>ufcJfYhd`c7WQS-f}2Mz
z=&04gm*X|?Wl0UR?^y$5>aIe5>{aMJ^eUYEas~YNU4h}#t^l;Z0?rq!Vb!{7I5)5w
zOdBu5k)4-eg2!br(6|i0PF;c@%P&FuewV=YaTV-JtpZ)QD%jJ!3dWtd2;G-m1T~Y3
zp!Mhin5A9-U$+Zzxy1!=I9UnzmRG_?(@L27tO8tiRDj303JB1ufU@)Fq4T=)immB9
zm^Gb)r+dypk@q>s(mw}z*Umz1%vsQJI15Yvo`KiJXCQd#85r323@AT44X<~eh7Vq+
zp`FfYaH}qdy%FWm*{&S&f1d)c;#1Jg?-VpMJq1cHPlEoglQ3%PN!Y1>64Y;&L3~0P
zn2#)jcP-1H;_L}Hw*CZE;t6>F?KoH-ISz@w$3fHdIHWh0!l;~5=s2?!eswE_AN9we
zUD`2l@H_^a+aH5pwI#4Fz61<hOW>MD3GBL14DsQ`uw_^=6g4Y`rt+g;zg|H)=c8cr
zy9n-;7D4jrB3Ni$1QWj<ftg2-K-lslaN6<+bo_i6!Ve#Y*2@mVA&bMX=wl%aEi8lq
zeuXf|q7Xbk9)eAUhv2E-As9XI5ZwH95SAS|2qw!9!cVJ%@Z{?OcvgG>lvW=AOE>^Q
zzY5^li2|6pt^j`67QkNR0$6f(Ke&bM2Pdcf;HADFf-mL6*|>b@GCCjP+vS7)%{(}s
zk_Rg$=D~<Ad0^SF4+ihr2V>{#gD~TLQ1d1iEDq*E{<2(<!MX7A=U&J?xfeo0_QEp9
zy|6}OFKoNA2d*XVf&V=BK!m{_Xx@+mX}fd4aefYH^v{83AG6_haW*srW`mMlHVkf=
z4dIt}!<$XJVV>u1_|<tgWIx^obN226S-cBOEqB4dpIP8mo&_P{S#Wt|7WC7}f?anq
z!7L*aZp_J4yjz(t?Q;e=9?t;#kPPq~kpaPNGT`*>bm*9#4xw|>p+*06NdK}EMwRUZ
zov@woZsbmQ*nTHGtKR|2**jpM&kk5)wFB<_*$yKsw!_Vh+ri&+I~aA}4j*4`gW5ye
zpdw%!)Yxx>_pP=;uUl#0o1O+W^U}b<LUH}I6@1Tcg<kPnp~-72T<NhD&b&#5OGi_o
zF(?%}yQIRb4ykbZVG0b~mjb2!DKOqP1zKvPz~vjskdvMaTNWfks#P)^R7!^Xm$pFH
zlr7*tV+%Ym-2zj7B*FW0Nsy9|1n!fQz|bfOT7KRP|4wa&R<WDG)N3=$=(!p4-Y0@u
zSt6{CN`$}T5+S8WA`ENV1kF!ug1eEM;Ow|fP~Kw`)HEf)=MxFgFFFBMc_zT^o(bUm
zF&=78#lwQQc<4AO9_ozZA^+<}NIJI>;uAN*PVbFS-hU%}`5gyxDGt)M#)100IEWb(
z2i=>;!G-Iw5SkSWW0%H)<&an~ZXF9|4`RT1e+;Y)jDcd87|<|?0pC~A(0D8w{G+0w
z-Gpd3YZMLP-=kpig(z@Hje;TbqF|JD6f9PYg3P)|c)m9hcy%P~84;;C{zO9Is|avE
z9sw<4BjD2H2-syB0darBA?j*4q-2Cc@zQW;v<nB*_TdovEDT;B4TIT{Venx>7{vDt
z1KU3vK<VlRxSp{AO8hp!fngh<Sa$=|z6^ywrJ(?Ep%67K6keH!!erG@Xt)&u%X34(
zATR{3j|ze9|AoNH&%rRWG8nwmf?<hIFvJfDhH{-?X!arq#+3#^X<QJPO%H-%%OG%5
z3xfB>>tWWk_3*RBdN@?D4x-1egRsAAAuDGsG>lpcL%s#Vne;%IJv<OhKCFQ@X=|XP
z{TdkZCIF(h1i%*wfZ&&_p?~6P_>HUK^|Mv*D}EL9gH^EZ=}LINaV3P>tc1Z&SAb^x
z3Q&R-(Bau~a7kDWnYbMEUiia-M1Png{=l!6fo1YCaIsqkA@BU)PMRN#cJhN4pO(VT
zjHR&Lbtx?T=?lSoe4*IG7g{w_j1Me<4pWxEMU5q}y<{<LoU<4*+AoIMGd}R&QXfd@
z<^x@?EP_jciy)=%A_%#=5MrYi!V&9*@ax3_n4Yo#o;xmpsIT+EC1*bL9X}sTTFeKh
zqw^qS&OE5sod+J3bK%v>xv<k{F8JP=1Jk4DfG^I09dBmCiygDU&22W^RGO_&&dvgy
zH48fF&Vr5?W`cRZOqkzqCY*XO11vVpfHU?p!1wEPz})FzIC(l4wVn<xXS^Y1xi`Et
z@`f4p)8I$^G}v!H4c2{|3Jde5!t!ZTVY|*$XsDb5LjtEjnb{N=|7<d}N}CK1Moorl
zmB~<7G70|qOagnuNwBMKB6Qn05sK|6!onXD01r%nKC>sl0D}qOUh4&$BfOxAy<qNV
zPx!gd6LP0}g1??8OuRZCCWnuQ03HvAKaYc!`Qu>a%yH1nU>xkd<^c<$J;2G%18je~
z!`MQ12wLC{7kjva>AkU#zj-V;jvNcWRL8=lvN3RU#TYm~U<}-QIU01cM#I8Mqv2lr
z(J=dp8)!tj!Ns9&u<O?-NGTcx*-J*j72{FR_Ngl@-suX@yj)?0jw}3kWh6Y090}*`
zN5aX!E>L^S1^)WGfP<L}WWRQXZhM^J@C;{|-qjh5?v4QU<Po4Ub_8_P9s$FuhC@vF
zaCmJu9A^D<g0IJ&AZwKq%(Zd?hmVdx2OMGKB1c$m><Gor9iZKA2MC|;06N_q;8^`I
zSd}&m+`NW?t?n=we#0K-C)&fV(f06F+a9J@+rhIKI|z2R11ohqXm(*Jya*o(PaTHB
zPt~DdbZ!VN4jlrQ?S_C|vmsD(+7?y>+k)j#ThLI{_rI45{0$Q5JXBz;vOvaZhUOs*
zA$ANMRT$2mC5YHSFvEdhTnmC}l?cI+2&E$wSaVGTzsmq0;s7Gt04&=Ae7|M`H<E0i
za=Z=H>e;}@yVhW`!x~mkvxbNNS;M5KgW+AyU`U-m7$)=^4CYOPpj+V}=(&6l*jf*Q
zrN6A8^rRK&hgd<pgB2L4TS3`nOIVR$2@W2XV4`OUz3T^pb;dyOo;6T02L{5&Hx@AY
zkOkB)w*Wt|fUf_{q2a7Klth|Cj;lHBYiADUZkxg9?Pg#z!wi!8m_hTm10bew0Q6Zk
z0P1)Eq^k^oH5dDXPkevyAJ-o?8T5y<k4!;huPMx3YzlWQO~LzDKlpvR9~4CPgXM1h
zV2o}*u)E(EhVSkRGZ*%S%@%#3?uQ9joHl{XNE7He+5}E?G=cdKjiK)zV^CgV3~vT0
z^4AEIDviK6-U#M+8bL`nBk20F4{SZy2aHztfy+btzy^&zF#39LFx%c6dd=<){rmR@
zmv6lwu)G(Xj_L)S+<QS}=U$-kyeDKF=m{fM_k<SqJ>hn%o^axpArxg8!kGnz@Wj#(
zI{xbc(=Ptc&~?Uh`9*Pi@4Z*HWQ23hqckXOBqC{uq!QXuLN=LMA<2l0L}p7O(U2mQ
z5@}Exe;TCt|6Y7Q=X=hJ`{H@-bMCq4x%V6m=31%-qrXLisnFG6Y$nv1uQ$}0@@RGD
zgrhp+p`y-g8dYPwuBtKNC)Jp`Rcg#%X*I@aNR_!=uF5Pvs>(dER%MQgsxl`1D$KuP
z73S4`73LA^*85Wd73T9ZWk#kznc3i{%oJHFGyHtY%*h@lhA&@<DfCrh92q4>idTsl
zd8){ComXV;`6@C!j3P6^tH@~fDloe)C@?qu6d0X_3d{uo1;*&PJkwPq&x9V3XO=CI
zXOu+c8Sd9|3|pBTBYaGbF|?Iqwo1z}1;et;)D>A~dx$L4zfP9%R+eSB$7Gn=CK={P
zj105dMTRlakzsUyNi!yG(#)DO(#)|P(oDUnG{egw&G>XnF|W=`G28v6n8`&_%z05M
zX44x<M(eU9!*NoQ`M!<?6-kEun*=lGmISjgQG&_YD#45!Nidt(B$%g<#ToZ}ab_|=
zoGDx?&TN+yXN=#8F=Dl1411&)!?{t6k<k@nm?=@luTzw{nk~u*_=++CR-(+Ps3^04
zNQ4op5n<}WMVJ6*5oV#T2&3>vnBjdO%y6F*W+eTE8Plc0jE9skbK!#!GtnT#Y={$L
z+T4X0TVo;S1&0uGyjPGhDiLJH0|lA8YXzB0YJ$wU2?6H9T>+*(OMrQ`SAY>;EWkKR
z3NU3K_!+S#ekS5HKO?Z6pUE@hXKeWRnW=t0=H_KSCiN5_E6(9#d=2=RfLUH9;wdjv
zdXblT9mLD1+4C|7G<lh4lRV7Ihdj*vd>+RAFb^}ciif$Z%ES2m;AR$ea5F0BxEbLC
z+>GD~Zbn|2o3R+@Vm#Wpm~%N?%xC}?V{OaDR48#V+T)x|WjiOcESHlR+t0~dSi#A7
zt8g-wKR6hbP7X%wJO?9wn1fMY!@(@p;9&MmvNL6m*qPsj?9BQgcILVRJ7ccPk~3_~
z`d&8XcNrT~7RJW-y0S4=#%zoVFB>C&eU>D5&ys=MEN#0xL)8aoNPW%>RdoL&=a7G-
zWb}__U;m}q_`jsI;4e9Uo~H7%)1<m;nl4ZMA-B>$r0M#H1o;1uP~#LC_)O7G`6;^5
zF-azYlXP2ul6?DrlX?7al3)0n6u$l<$oob9_P?l&{TEr({G=AopR`-%C(XO}gG2&<
zkigs@q&_e~8<HldVCe)2{~V{(i{oUrX`H?bjnlnb|IxMm|52ybfAr(|ccS?3l(pzP
zNlkpCOU2*FZPPc>5&1?UEni9O@K-X_|4Lp1U#KDF3u)Vap~~qoa;O?3QLi!jC_hFo
zAAP2er#_P?eI|#mpQy6n6KT1AqB@aJ<k31xx`Cs_XFN(AA4W(fXM}9lk5D|{2z|Zz
zk#-;YNNjUIQq|iJ6qxmaw%C85&AcDzz|Hqmc<4QSoBN&|-@T*m?02-w@g2zvzN6um
zVQLQ?rdHEodim)s2^72~N4K|BEBTg;9}H1j_z)dn-3VlU4U)p;L6Y1xNLuQHWdHIF
zrKY~2Z)@I=C(j!izcoNv#|Fq{{s0+&c}?mUUz7g!*R)3QHAVKmq8Ev;$Y#|mYUg@I
zJ8t!pY+yePoAuMZZ!f9s(o1^j^^$niU(%XaFQ_!*1*tf`pfZscWZ(Imgd?BR+a=Gb
z>t7%BH1^T=Lw%%a+DHChpHa`HXJqI7jNZ<9M)8Bav@W-obT;*poNO<t_4Lr<<Q_V*
zu7}zLd&r>UDV0P%r3E%m=_C77D!uiD!cIJ){gzMY*i<)V)OXW^L)|22)=fd<kLhRC
zV~X^9O!MYFrm?Xux?R>q6}!8rO0SDLMjp}B#YeQr`w``6KO)f&4=JnYA(7WZ`mXtq
zZoGRy=L;WDmgfU1)qFr*@9vXe(S36Fx=(Fd_sRN0C-oI~QmA()Ez#{H+0hQ-ywpM5
zdpbyYZU?RYa*q-#@6m|gJ=$n;k6w+p)8VV_q<y%Z#-N?rr|we2wYzll#9ey1=q?Fz
z+$D$BHmZnhBbAkHR4CX+iyyVpe@U%W@7PKyGOZN$;toaU+@XT4cj&3c9g_RdLi<Zw
zXlQQ>c^S9Rzlqy)ss1+Y4Z2O%i*Az<CkyS(WE0m+`|O&jT(X&F`)-kU&Mg|=c8d;b
z-6Hu<H|c5RP0BxTlTP7H3jBA2B3f=xVbl$JzUBt0N!+00eb;F$=Q{a&Tql0r>s0sU
z8Xc**Mr)2;BlAVq$dvmUS>JD>UCB*!eq$4jDL2uYca7A1sgYI$G}16MQp!vNIkh#A
zL3{&AJ2sG{LIY_I)ziw7dJ6Tcr-v5xG<T+s^4jW1>vSF6+)zh*l<LUfT`kR&)zbR|
zwX9PUwKT?AOF|E>(xNk0DPr?g8qmB-tG?7wM{Nzc1=kRpZ4EVu*3hZv)wDgon%3{G
zCg=Ip<oovurMF$7Cka<b-Q@~}sb8UApQ`A@)hdz+uA&y(Dhd&=B8UFVWL9*U^!+ZA
zDP5+uoR=x^VI?(YRFa@aCHc**r1!rnXy5G$;*YPOI_C;Hq+UVG$I3~szMNFT%1L`|
zIW3ker@g~vbg8n8rjC`-re$UHP^^sBzq&-D7cWuDflIV@(IwV5e2IQPE2WPYN@;Xo
zDg9+iNu9TpHa;z(yu1>c+EYTFSVBWwCFIwAkwnj3q~_fhDGV->GuK73>@FsgbHzk^
zifKI-({b)%s((^MT<43(!?%dKnIdxFE26i(g%n;;NDxp+(^iG_Sg4TdUKUVANdeU!
zE}%y?1vDv9K=X$#(8<desQ<(TTCwH=-Bq|iPNVtsqduPsBlF42DW5Df^GR;vJPEX%
zC*kDtq`vJuEi*b#firn@>tP;A<>pb~-aPtlnMX$i^GKxs9MxVrN4|mQ$b8i~5>_}z
zKSy)vOJgqmipeF>O}T{nxfJjxhnhNbNHRNzj_=8#pO!fkER;jCud}JSBAbo{XVX%<
zY*JLqCa(X^(%;)>i7WLiDS4hH8}qXi#B-Kf`m#vAG>c9KX3@{pSrnw4MPlDFskS+j
zd{Q#W&@+?REHY`BH<Nl_WKdsO292D^Ab$G{B8?0>`Xim%@1~PhRyw8ZNhcAjbUG`R
zPUgdD^rkkAGNaRIn_C*;yfji}Pa|no0IqQH49yEXLk?@t&?&Vu)H;z$Qthd9;A|=l
z`KFTll2jUzN~N%o6f(G;Lc@tERJtRDf+2-G1XIZAO)@#xB-75QWQuT0rfQ>P`pTJ1
z_&kY{%adp-B#Hc-lIVwC5=G4<lHSuqdT}w4GL9#br$Ztw(q`GF6G;7W0_hYbkY!*3
zZLv$BM9l<xG<BL3yH3-Q!qYT#>@>OBou)UMr|H0-c#?h`Pi;l<bSfyG>>T1rPbZ$l
z|HTpS(>M|=jU(lgakS7Wj`kSD(M9$+`mZmRR#wJRWq2&9yT#H4lUOq0i=~GHF?6Ih
zhK%B4=!ZuPwNnh0h{aI)$7o8q8BN(~(Nw)Rn)<AxiC;0AR*pwedPfv}KOaRdN2BPW
zT@=~tMA6_(B%OE`NxGGhG#C*{MedPw)I5@0gd=I$`v_WeBZ6$xB51R31O+dPpbF&(
z8vPkgrjNoYx;UIZ2Zxi}#&CLJ6i%Le;q-U#6y-ObqV*}KNNmq3>bE{cHA<}NL_fnQ
z_E8wcTnwYMkT9xn4WlQfVZ<dAM%M2`De-0~ear}@H36Y?b5$rU&<v&ae<8HBFN8R+
zgwWO45DM@NAxo<e5|<01k>Qino^g_Htv*SQXM^caO)xFo6-=2*!6ejug0dn`&?4pp
z{rh^HdJ2wHtIKhEAbgy@v;>j%(I7f%7({R129j51AhE3rq#DjZI@x%PcK98mty;(E
zK>txXpL~?w+a9H*Ge@ZY>JhTpbA(3Kk5KXR!xWTwn075cOuqjPQOwmtbYssU;-7Pf
zd|w`<k>rCEwDKTnv$J@^0c!C-KsCAt==$J(dX>4Kq#X9s4*vbraXWx)0|V%lX#hok
z_NO(4{-opXPx3PUq|xO^OQZeh*b+Z#|Fe(gUfo9}zWc~hXCJ*E^rhmnz7)K{mwZKh
zY5%>wln}O;ZZFtN0>Agr?kjs}XwM$nr@e<HhIZ3~?A?^>yqm(scT?B{A4-q%q2{GN
z#6Gi&TpD*#+reG5(s&mQfA(g@Y2M_z!<)=iy-BBkCmChzq_vJaDO7YP-M{Ze2GL%W
zZ{tOV>|WG$!;>NdJ;@O~$>PTjGP<&Z7Vg_Y+YNS5_J{|4D)Jz^9Uj!7=0UCl+i50y
zJ2kp)rx@Aow6Av?`J`^6V-DNsoai=s@o+2Y#c!pARa=RVe=B9QZz0RbE%d`?3*F(|
zLKj=y>3pa=RV;R=uG!7Rb89oL58g~Q3pbPAKR3F1-HjZNyAkgKH+nq1i7KvbqP(C@
zRBXA4Zcn??f7e{e{J1M6EO4dizb<s*h6_msyU<N57N6Zn_RSj!LO0U<r5nkbb0c}T
zI#XVRGmR~GrnP*|)Y9QZtK*z#WQ`MLi8#@g#~TPzHjw6q4WuQrf#|s-Z9nTsxtks7
zi;5#T46Ubo1?$Oi=Xx5~T~CFd9cXu@1K9*PkcpWCnf|t?<xTdq?}R;-F1DvhPJ7za
zZbx0QcI2|oj(&*SQ9<uI+L^VE7Pzlt#gFSq{ry@pDP2n&eAiN}$y$2)a}60at)X+l
zYe>y{4b}3lA@>KXNiKOceQ;V$?Fy@@>CGx?E?h+~d{z;+(JHd}v69jnSJG7QO7gd1
zNq&~zwSsKYRuH$_3VNZof^L1VrG|1_y0hPwhR~M8XP1*>+j1(2TTY_ums7Oda*}$p
zjH-*4k;mR;q&a^XO-|X+n`Rq&9%Vzr>uiWk#)gbuTa$mGHQm``O}g`~Deuox(rsBv
zcVd>3zr#{8l3z-*gG*?rWC`{9FQI;1LKAFDNU38nZA@NFg|3T<Lt`=R|FnoEsuxjY
z&>}LhSwurZi>S2Mio(uWk*~KE`50T#;i-j`*0PY=;uaE*(?W7pSx7fNE+Eq@3#cJ*
z0omIupef-6RMW?5sh)31oA$8U|C(FUvRQ^UbTD)<m0|flhCb>rtfUUnx$8udQAAk|
zM8-<2*ZTn}`3lme<49(<NU9P@im!omN`Pz*0PVK|s^SNl?XjRO=Pl^b9t*Mq3mW9G
zps+{gWOmk^etVfyr-?aL{4=Bc4l^oBGo!}sW;9@EMv{N#lgr)tRGBiLq_)ndScCZ_
zHfc)5t){dl*_1f9m{O;{Ddqn*q3Bi<I+<)jky}hC*T95YCyi;k&6t*^8dKIbW12NI
zrbE+4G=0yAlGBX{JdJ3~#E7oU&ZEeO^Jq`@Jlg6rk9NR3I>J4V&OSAyhxvvi>TgKf
ztqiF}$dKmu&!w8uxnzBGF1=komy)IDlHEH4Qm!$eKcNQn!QO!0sv6LjulmG$Q=d#u
z>(lPd`c!S8PyEw*<kzW3@3Zu1w~rpppdRJ(>5=1eU6Lx%rFTbk>5i=~U6IwL%8xqK
zRIfw5Q93lcQHM}hhe9T`>DfJP)?pTHy6mG(ri?bV3TTsOzZOZBYf<-cEjqVWi;k&i
z(T;DLw7FT6b|h=kF%M13ov%rcxim@q*&Nz_aSq)&I)~=2nnM>A=a9)44eGe5LH<b^
zq~)POBl9(=iCcrt_Nh~JsX9djsZ-Kgbt+X=r^o-P5l^cctx8v;oLy?H7*UOO3#-wG
zH>%`ctxEh6s#LX6mAv#-N%x-$O?9cz^9w4}c1VSqSE$fEMHL$Os!SX$%4C+NOb2%<
zQ;VfCsfa35)LSK*sa2v=F-j!ku0(aL3FgVAL~73!X|zm{nolZHk)tAI=&&%YKt){&
z)LfuIqem1-b&Ue;P*b3*KjcZWL!M6N%F|>3OD<>Wit<$ZO^!TU<wz|{jz0Oy(e0&j
zR3s}$8Dp}Pep{9<q|4H^J+d^kSeB$^WLfzD87gd+q1iMU^4=puuNKSD78x1(@>!Z<
zZcCGChBS@rm8P<#(i9{oO)g)hXlbhy(OD^4=r2X<mP^rIB`L}nm!z(Hk|dcYNuGx!
zsb#e!8EQyU(WC_FbxBZDkp#IMmmm&D32M}npc8Bow6;&2^ee?lDngtDHj9(+d~s3|
z5GNcGqiqdhl$Iz)&vuHDrj-~4ON-I_F;Q}96{WsxQQC1pl%`jSQl5q=+5ZtC;U^;W
ztW<=`Lq#aTRfLY4h|pnv5jrs>Oi7KxbU9g=Uit`=_)=kVQV^!1aUo*AFGM~CLi9RF
zh}<^_(db+u3gs3etpP#mtrMi=L_u=hB}j%#1X=O3AWe-6(0}&@=x3n-aR&>K+C~Ag
zH5Q;iegSHH%THX_`Ds%cKV9F)Px>qPsZgDt6(jOdQx6|)tmLEFC_bv$&PN9<`N&F|
zkEFlx(&Rl}`f!1l29NX7duLwyWz0(wg1p4M=ON!)JXD^=L%$C2(3*8TRH4g5@|--B
z{F<Aj8n~$-g_{=oa?@K|Zc5eQCcA%JB=ek$Myt7~{WKR<?c$<BYc48K;iAeZPHOGp
zr1zIONj#2|R_x@Y*d?6wT#1uRCOIhWDF<;~=AhtM4&vO&L8(hPXr3|$^-Qu;L=QVH
zsbVL-cy@Z}%}({!?3Aa<PASuDl-S2c88vKlDUprt?O~(;Y}rUllZ`yt*vPGM7CHCN
z;%)s|JTp9lCvs*m$Y}->L}swQ{U81e`G+f+e^@>77mX|a;+>s;aj)86)PFgR|5B&%
z{n}}K%R7xfZvR2W<9~3Y#UCvBK7}G>QyAklh4N}sc=P2X9!;A>Tl-1W7o0?myT8#W
z^fx*z_>ED&f8mqrUue4T7Z&UNLZkOT@xl3@7`*u>+Q|Jx)t(<HlJo;5*8D(yz8|=;
zbpkU(Ch*IG3EVg}j=i<x=)Hd&g^k9s{qujAUh*Fv^ZF0{HU7h(H{bDW&Ubw1`W>ZY
zzoTEzHylX*hTHAF;iS+vEa?1-9?@UXZ24DI;QESEEniS0<O^C`eZixD$MAO37^)l_
z!vq*ZiC>?w^y+8aaNsjan1050-#=l;<xkkM?-M>U{Dfb}Mp3<d6utM1vYzEA&igci
zm8B!N)Mo@obw{vZ<Rki*d_?<QAJJO(Bd#3zfICV)VA8G+_*nM?&KZ4=F{SU3WA}SZ
z(0`9}KflA*W$!S5?>jtd_zpe34&&C#!?@3X7?Vtfv2FY<3SE7RI}g3ZrxtH<{p1k7
zYaGIupdnnma0mrv2k}GmAohk0;xn5;9OW5A(T+E08}|lN*1o}SqHl1^lK~t&Gk^y-
z4xoa<06uy38gueq<1vrdxJ&Cb`i#87<7KZff8Q&7Zt@D%fA-_?hJG9k>c?G+`f-Y*
zA9L=$M2FayD7Wq<{wMwt`+HwtU)BqJ@BRY0HC~{_hv#_g(sO*Y?>U;!e~uNu`w*`8
z;ggU)Jh`k7tpxf|r0W@ePkn~NF3)g8`5Df<?M1DUUfkl_izTML$T``A{x^E?YgiAS
zSkZ$jB0c!{=~GP2dWzm#pW<4rr)cx}39h;F1ig+t!Ni46u#@u%%5-+)fuwF6a_+`$
z%H8;V_%SA5dW_ZqkC6u-<I9;Yyw%o)SL3^|$*~K&6}oV0=n<NhKEfdXN7xIGaPjOz
zymt2?+9o{2cTNv6S@|K_y?=np6%X+5!3X$x0SjCYaQeZ0R7$&#Yu)c-qSk#J`qGKk
zb)8rj+=*n{i4R0O(f@e|YUX#~h))MzH|@au>3f*odJnTt-@_{Bd)TXb4+Tcs(XP53
z3xnEGU|Bnch_oZm^ShXne;1eRxr@Kd?&7tXHcYzLhKEwxaQEgm^wVy`@b9fy($tEt
z!dp?zt`!f;w_@M$9b8p;2Ol22gWIg{Acx2uy!yNa4;8fF@_j9+LoF!F#X{F@)INI~
zmwDaB1ID-U%5*c%+-=59Db0A-y&0G2HRJssx6rHk7K+5*!n+%9VZt1i{_Q5NzIGEA
zN8Q9_jyKU&^(G$wd;=@%Z{W96H*k^t4LqlG1BFJfV@&OJlnJ|z)$6XKyCRE^T*HB@
z*RVG98fLG%hDnOo@XSaPUaW1xj<6>DW7mYF+=Nk|8u49yBictaV(0osbX04^&tDoa
z<yr&U#x$Vd#s++?*?>34>#?%A9?KKzv2k-f_UPB+%w!!}wAbN@v^spUgT+nju!OA+
zb-QY@KDQP(?5#yM%UW#Wuf?$ESJCC-Ra|)ZDjF}liY8K5amjEEZmq7txX>DGv#&v6
zwHn;<ts2{JRwI*8jn~|(ag|{;e*Aj{QyyHw)j3yCV(%6FXn6%Y1+U<>{wi!LtHSo6
zDjZr}h5SlYxM=J$p1OV+d*d&ox%*|jV0amoXDYGyQ6(<StHdF{N=#i`iH_oxsP?u3
zr>iUQ-Kh$ExuF6Fv?}oXuW}T<SB?v^%JJ~-a=d9-j*`MGK2U}qE|;NaXc>N6Uxv||
zWjOEGB^+wMgcq_dq5qysxO(9wG!wmq`a`8?Si>p+8c~XyH<n_QUMb$1E<vtGCAjf?
z3D)l~LCs|)cuuwiwLV?M#_JbxQ{qMB_qd2{W*0Gm_ab_}EJoXkVuX-lG;=IQEA3)*
znkvF$4~nofuLwWvFGAzxMHnStgrCO>adUGazDzAdPwzsUW(qM+q!8`j7NBrl0rtfd
zV5NHjrkE697<U1ld~pF|DlTAN=ml(Xx`6-bT|mQ`d_4RlAMY3EqhU}!X4~bXjAlOO
zPM$}Thv%_7|2zgCK98{aJpNTZkB@%jVR=U$W}M5zgadh)ydn?tmGkh%_&I#vehw9K
z&!OA?b68?~4%wB@q4#($zG%<Ijk&ovv_BV*tjI-qm0Y|xk%Ol?a&T2%4k{nY!N03=
z@S|D|4*bf-p$FOc{X#Yh9?M2kyKMB*%ErR!v-qw1EG{oOi>1M5QO@ZsrW%|@d5*JK
z_B;z$Ue3aah%7AKoP~SlXCVq?q4-cH{;JQ!j|rJL?3Ky#DVaDcnTaZ&GjL@~28Lv1
zV2ghSimk}N-KrVb^(!40KT5~zMd@gBA|3lSq~qba>8Qq)j?enjFry|7J>$}F!HzUk
zvrI!#$ut!Bd<MntoI&;MGiY_-4DMWg2G7npgD<92aZXPv9xG49m*J_n+&vX<n5W`m
zkyL#2AqBl}rJ!JD3O4zt;GvZ%XsMBcLet4O@-!K{%9HVSL^9sol8o(;jQwKC_-8Z;
zHSZ*$Yfcho9ZJG?>ynVsO~P#UB;@T+#Nexm$d-_Zr@a$VYe^!uD<tB<9|<`3Q38Iu
zn1DAz6ENK^0RznwaF;0S*2L&(^ty8z59Xf6(??F@6^GL}XmA=8cuwP%!Fa4_ibvkG
zc--R`k1too;|9%md_EJ0-Y?>i{c0Q*CB)$dpEwk@iNkJ{ILw=h#iKp3=yo|4SH{NT
z60caaSsaTFim~YPD+c4bW3Zt-2ERqcpvjIHJYf}sPvv9K>}NFQJ&s1H@@PC06^$x8
zqOsa48XXj(@z2jFtmuxy-4#)28WV+FUQsx>I12A7MPc1!Bwp!>#JZ|TY>SV?fnAZv
zzAO^wsYjyMzX-heA_6CBBXDI(1eWfLK*`k+7^M?|+*}cOdN3SSZ-nEutZ>|ZI2^?t
z!|}dRI3@~(qx<M7G{1WaWeQFqd&nvLwfPkOWc{g_kvWCpKf-WccNlJ{48!oaFub`d
z3^|sEq5YgNyvP=Yd;_6);94k-WQO9-!=d=qF%&~gLQzpP6r0CF(62KDbxJ~TG$I6R
zcZ6W<k`VM!4Z(sxCo!t-BnIz4iP7^;V$r8y>@5yPxgEi{Pc<0(`cI%^<_Ube;RJ?@
zpFnza9NFWJ<15?a*vWMq@81r>f#4wIS`dT_rvfpiE)YK+2t*f?Kz#M}8164WhKjq7
zVV}-1EP8(wBMXk=vF%6kr0P-3czpz0vX9`b>k+h*JAzl99Y(FR!&vTk7?(*L#_x|0
zVP)bW3|@B#w+SD@4G#{YTiiiBxauJ0@gKxj_YR;z^Z|^wJ%F=32Qd8ZepHOykFCr0
z<4NxQxTY-t4I%<iX;}cOatEMUn?Jfm_~V&n{`iL5A1&|tVQHiv>e>3?HC{j5a&I3>
z#_VIwxqVnIun%+Y`(kFiFBYx!#a0nt{L!@+Et2<Q%=*3fRdO$S_U^&4^gS5ivImV7
zSiFBXHs<ce%&ogIT75Uh4EtbCkq<U|``}MKAG93Xg(;Q0aN2(t9-6-k*?xIrPJ=hD
z4Dv=^D{p+p=8biCcH+gzomjeZCterYiGy8UD4ptsZq8m<E$@X2uRSsKyeBGqdSbnf
zCwhF|fhw1G;OG52u)|^p*8lOqx|<$&H_QV+EcZZJK@W88+Ky$Z+fl@2JBBK4NA96*
zm{qh5t#)t2iFw<wabhbbHf+ViC$^&R(ye%icPpNLumx+Ax8PUjEeJ|mFlopgr;6S2
zz+QL!XX1_-zc=HO8=LWO*k){Bu^BIjY{t_)ZWw*m4O6$dVWqYkz8KqtQZ<`!>#<GP
zv}hA*@od8L4_wh8)fMl$x?+HuE6)Asg1;+V@X0|Jyl&}&bsR3(+_4c~CT&D67gj+y
z)r}bW!5QCFIHT<$XS}t5CApk&;Jy<^q&ndOHz(wn<Al#YZNMAV8?ZWX1J*6wfSm#x
z@XHfNRLgcmj~$L!W8jEVKh|UT_4UXVu^v;`u16D@_4sDM0dp=o;4Xg$v?d3f$Kimw
z_wCW-j6JS&w?}_%do2EDhhq(PxFpODi&opAoU|RD9ax73CF}5hz&Z@HT!+ZL4!OJ5
z;!x&VeBiMb@6KJz^66_>@%kDRid%zAoYr83>Kc4Lx*D0QtMO9sYSde~8tWxj<A#A%
zI9sv`8xO3)FsoJQ%D)O1^{hm*yp;&MSK><ZmFUB^5;O0wz~1x~sP3@>gA7;TyGdJg
zYqiCpL|Z)MW{Yw<w%9Sg9Aj=S$BnVealZ3%RMA+DvR{{>O4Bkli(G~->z84y$};Ty
zWP|ecHhB1y4G!7a;3g%O9I?j3wbrN*W{nTlS!2ASHEtSNiWap?Q7vpK%GoVN6{V$U
zI=Tcm)GfjAQ%kVLehG@GEWur$7vtlG#keeTG2U}rjIQd7aq{aTEV{l3x5X|(U6(~T
zqqPX%PFP{jZ7Y15XoZ9BRyb{7g_?gB;--5G@m%^s{N}k3*Uevu*Vq@L`Qrt6<J<yV
z@4EnhS}wpMfd#nZg(c1_u|(b@miT3vB@Rhh;@e>c|Ep$DIE+CH2L^rB7`*b0kmDBN
z_5{L*?u5$?S@JL9_6LX@Ifzwz5cgUlnhPQd_5*&s1UL`~*uM(!g96~pCkvc&%>td`
zEbxq*1#5k>K>BNrc@NA{BG(*Ke9ckS${ZU-%yHWrGnA?_!`=`xEO0QxU=1_$nwXES
zt@CkH+I-x#b3UGe`B=s`AK$z%MYS?h+;`j*JJy<_v8pK+em6m_789&aHNiDrCOBbX
zg2j9$xbvkk&M!Acp<rViw=>3f>c%)cVT51XjF2bO2=#Xxq1yr@%oH)gw}bN#Yvy5g
z#5@#mnTL`3^HAiUAztV*MC%KN`2C<Emf9MkpMoJS`7#$(o9CiH>Re>sITyKTE=mf`
zMWZ(cxUt#*<01_3zKa3M&NV>)S$*t%qL0gq_3_RzeO$9vABWWRG3<vP8r{>wk!(Gz
z@YBO!Ydv(6)no11bdhf9B9p3%w%)q9%~BU5M0K%lSO+KSb#Otv4kmBY!ErMk+{&+m
zeXq6Aty&vDM`~k~n>HF5YvWrkZOnh6g?lTt(E5}XYPo2kq@flHb7-MNpC-;J*Tlu4
znz+kZ6LSnSv7b#7wV%zw6J>MoO~@Qv>pTbV8qC4f>~paHnFbyy*Fcpp4eZ{ifr*A1
z=*p>q^IoW<=w)@B4p+zVP3rj5SRFZe)lvDi8ZNC-!~HR8Sh-aVf10bIt&kcPzEwrx
zMpX<=R7JL(su;UK71bnF@%E?+`ZlYeW`+uW@KwR9HY#{pQ3V6Wm2q2#GHyDrj9ZT=
zqu)AZjMY-cs=rD&^i&Cz%aqVFObP2;l~B?|34{2Q@ar2z+*_}RKNA!&W~U<RS}Eca
zX+@0sqJXw-3aojjfFlPL@ZK5)tkG1!(!cU}sYf2`%H{DvxIBK@ERXW$@@OwCkIC=l
z@bwKjG)tGm^nG&3VJnBnRON8`w=70ImPM6PS!@oK#l4$kan5{Md?zT2Rqtdl>V^#N
zN|(V6eloafg$%A%mqF)0(zy4jG{%=pV||1)j%|^~xhRc?#idz(L<;p<r7$H|3VDu5
zVYs~%3h7H>9;Xy8crA&;b&{BtB#92YB~jK!l9daP#5=zwu%uf8Gs`3}B|-wzw@P3k
zN#J!!34HTK9EI+Qv*xTgh94KlE@yGnG+}W;as2vT3_Y5~aPX`c?m8sK+E0pMy1p1L
z;1<KNH=<bFB#OJ!L=pW(QEas+j%$hH0GlZG^ow9mod_#WB!c66MOZPn2;v+O+&v?V
z#V>?$?5Z$YCJE!2J;L~VxiETa2xI?0A>8~z2tQmE!oVaUl-nzW&9*`qFh>aI&I;mx
zF9or=P7pIw1Tk=*Ansfxh;G_~xQRm$cMJ&Np(X)LP8VS9y9DsVIssHQ5Wwxc0$4H3
zkDSf?=#j&Z_mA@9LMMJ~G~q`p5q^C5i4VQn`H;7e5357?(A%94wHQA9BEyF_CwMXQ
zF)tpk;6<NUUfkx*f(?tSvurawnAy*RHyU_wER6>>5AdLuJr7nH@*tNW4{jgf#(Qnt
zhy~nuC4?L2Z{fyUmfW~Oo*T!1abZ>u7p|=4LXIRZZ1d&9<keibQ;!R6c)8HvJtr#O
z;Y6u?PLw^#iF4dJ5iL2<S)LP5{N})lUJm?F!-2Xf9C*N=1KZbepr#=Q#tL%a)F?X!
z++)Y_Vs<<p!H%My>{zyx9qrZG@!u>P)(o)W{u^w_<glS&5F5UCWy5>OhF4|T(BaE0
ztS*~{jXtw*NM{xb-_OANf*Amh8OT<f0kJp#AS3r57;XLsFBJa4nHPUyTjpP2HT?lY
znZGcvcN!L-nT8#X(~u!C4X?ZZfLZb%$g%$e(qez$eAg5#NSuPvbyILrWC{*Hngr*B
zNw8fv2`fb=Ve_Nk5Ss8C>eu~-8Ij-M)b$H)B>n;m`(My3_6yv)e*$mHPiS5L6H+99
zLO{<C*p|kE^A8A+{Q;@ZC!j5B0{Gk}V6)N$G`}7P^Sp7mwrw07G{#|a_&=yB`VWqJ
z{|63w{{i#)JD62`2P?nt;A-+6!Y95#bL}?}I{FQEG2fu~?^jrV>npqo{R$^+zJdYo
zR~YU10uAwBAj9qpL`r;th~6<s%N&DRw=sCHG6q_2Kf|G-&(OQ;Gc23?8SZ}j1RHBU
z!Q|mjtlLAMVE4=@ShkFUQsgKIuNnmrkx@{6G6IXzN5F5>2wYYff!VhoVe7?@(6#3y
ztTX-yuYY`i<BcD{Aov4(TKWMRct1e;gZB`g{2oG`-$R1pdng-x2Yp5FKyuGJ*kb$+
z8h;MMoNL378!`;q%ZK5X;4pZ1zXjEdxA0-}TezX|779j&Aggi+&K(?rYGw$Yu?+!#
z`yi}7JqWpugD@jM2>S-#z?b4TaNPF|D44y0_CEt~>h=Jviyi<yy8)1t833WzuR*Ht
zH5lx94GyNSA#&;!bT+>N<>*&%((V;}mw5&L1N|^t)DOA7{jkcsA9((~gznata4G&J
z>(}y2h*5e8iSJ%OVfhQVckl)LS?~f_O}8QL;dA(u_8c~Dc@9stpTm}Keek=!5As6#
zz<FgKC`$Cfx0lbLyWknL?0p8e&7VQnOfP(H?**CUUa;HL3mJ2I;mcSLtgq{Vwv#<z
zyRrxRBzoY`tEZq*{1jgMJ%wU=3c;LDfmN#pTr!@3+x920*Wd}n{p^N@Tiq}b(+vwZ
zbVHg-H%yN_2EUre@ZX8Y5W3<qs7gMD2d}#zs-z3-4|IW!RTl{Hcfst_N5Gc%2t;>3
zg1P38U?bZjNV@+Jo~1toeUFC_Z}<@YPCkIZ)(60o^Z?GgJpfys2k>|NKHR!_AChA4
zgP-$#aMQRCPG390y{QxSM|MKm`cAm3(g|FjJHWoa11_EF0CD>ch*atTzR`P-S$hx6
z!|uW0Iu=*F2U|wk!KAhwB*NN(&8{8(Dz*dn=v`2%y9<j?-Gu=AyHKTk7yf=~1LuY|
zxDn9?CXQ`Tt=0xhzP7^aYpoC&(+aF2)4;CP3QxxGKvnY{$WFKeXExt~v-)?SVzLDu
z-fe+DXIj8)M+*d*v_RMFZ7_ax8_wn22Kha=A)ju81>bFW{;V0IikiXtU^56=H^W=;
zW@sC{1+|xNL3QvgxW4ulJXN{{zdzpuoohG2GxjD_y50nCy_?`Oc>`Xw-vH-~8!))@
z1{|@t0SY`fptJWnYs~9lf9N`BFS`!>($`_~-8J}e^&0#QzXsw?*I>TZHQ4^M33A$+
zU^uM_U}qC#STq3_Zxfv8YXr`cMo2r_2xcoA;f;JFq<?CFP1hPgKfVEY-5cP$VFSFM
zsfUkU_3-n2J&5kF2Mg<Z@R6#AlJ|8mQCA16qwC<ZYaOT>)Is*&TA1^w78>$u!8M>3
zc&uyTmQ*c-f4B-x4OhW5_9`fDz6#>=u7V`nRZxFY1D1s~u>Eiiq^_ueZiO09{89}8
zx2oZ3ay2aRtcE6wYFNZy4UhY;fN$j$kO{p4_Z_c5y!I7vovH$p2UQ@QR|VYrtAKr3
z74XYdfzs#8V0rU0>`cB4xt^Ed4O|98!OIXePzhsKD#1OX5?;Dgg2&uS_%&Mr=}#+Q
z$;Aqo46J~rbrle;Q2`#m%E7j?9PnH@nC&lz1<T99PN5w3eJz8`mNIyhUIwCj%D`<=
z8PrIYfy~Gyh`4?UW|J;KxYs3+W-h@MkxSq*Tnd5>rO**y3Mt!5!P}w~Yz0ffbg%?;
zYfC^swgg~n3D}vHz<&M`I6rU^Ue;U$)tHOmx8)*q&c6u8{1+jApcquH7DI7NG0@gx
z=rb#Z5P@Pa8!Uo}+9J3SSHv2>2=+q}xC<A7<8UEtXe@+niG^^)s}Qm*3*oMKA<TR%
zfW<cp;PjaSc)z;<RxBxiI@tm+`g#FsS}(wo><jQR-~t4%xB!N#7vSU1d?<U64}k^w
zupuxX&><gmbn`)d_B?1mI}hd+=fN)gJREd84+W;@;Whtx&=|^tfQCG{pO^<m-g$7&
zDi363@*w-mInZxA2X}JLf%n04Aid@sJeqS3lBaWF>(g9-vRqI&l?%LXxiDjz3v7b9
zAT*rA^6NQZlbQp5dvc)2ItSh>=77<UYzTjl4a0@mu;xTIG&^O3)x2!D%aaYRZ_dK6
z`m>OmbQae6oCSfUXW_BJSvWtD1%VH;U`tUJtPReB<r}kLrEwNG^JjtY+e}EfmI;k#
zGU2OlCK%dg!V$GhxIdKvdQUSTxjX|nBQxOS)(qgL3`mp60Hd*Vc-oc@p?T>*$I@YX
zeLA$yO@~~bbT~ek23}2R;BqDnoc5)`<`rq+tC0rLf6qY0vop|Nbp|Bk&VZBG8OUFB
z27b$*0p}m7aO+Vjn3kr(<x{C(z9kjfFcr2+rUK{J6sWqF0^S8Fpc|Y5<1Q(1cYX>K
zilji?Xfm++_ra08WC#jOh8U-0IB%Q`w*`~o^M@o*ZAk+6+$1PGngl-`lfcd>32FqA
zK<z^!WZX^!+1y0PKbi<;8xrBMQ6d}`Oa!fu2{6!-0O!voz}~<FSmK-js-_9RE0O?{
zqo-lK?KJ$#KMkD0r$K(xX&{T!;307u&U}rB$DQ#YeK8((oQj90t?{6^ARZ#*;$iYf
z931S9gQ<!*h>nc|HSajMZ5;=D)Z#$pUo5<Q5ew(*V!<yp7Hs`vL3eE|Na)7`H*YMk
zzl#B$+c6+@E(Q#OVqmpP3>-9%fntdm82T0s+7F}Qz@=#Dh>8YXuV_eG8V&4f(Gc`6
z3T9qLL2N@5sHR83jRR5O=@11{Mp5ukC<+okMS|<SNSIq334Gy^@MU`>^e>8pC(4n~
zJsklrUPQpB`Uv1kj{xn15#X>s0wRnfphYACc)x^$)BSKLFAWEw=x{i=GaTOAgu~W3
z;V{G=4tobr0o$!pkdu1~mK;9?-!`3sB02@0a;L!HcNk3fhC$EOFsMxpgS`D=kn9i!
z@y210C>jRYUqj*Y!%%oo9t!`(g@WpyP;gom3TN~}p`R}l3`RoWRC@@#D-MCRks)x?
zD+F*^2sCMiz%s57sA@k6A0tn~yyYh$lKUilYYhgU@L-s*4u%BIV4yoE;AhwgXjys!
z@;FYw>6YUV7j_)ZE<Fy79LHg_B?$CR1wo*75cG2f!P?e9=n4;n?aKmzizg83?;eA|
zsAI5h#W67DKL*;JN5LTOC@fxc6ug9w!r4bhU@-9rSU4Pk9El?!(Q_Cw(+<PDjfbH}
z?l8o@JOmCohd_7BArMtN1UzpKf^gwM(A;?tR_h*w&`$@Tz5D<u`yGH&CI?_@Vn3X$
z+Yi#m_OmL+?Favv05HED00Q9w@NIbjyyFjmkq7?pH_;!|9R0yj#vjsO_`zt7AFSTy
z2RG*U!J?1*;PIt>5U_6_sGIJCp`X4`)#wX}Cw$?=5?=`7_GPtt-3vvh_d>VBUJ#bq
z3obABK=rvjptNHTr0MJd<+0sRTeTZDAKDEP%x>tL@qzL?K9Cgc1E<#dK!k)3Wc2NV
zhMZk6vV9lm=<I?+W8U!O3ae4x5pQT*;0@Ls-tfA8Cq$m!3096ffm?nj^bdGJbD<a1
z?Dm3MV=uV-%M(6a_XO!vp5VCB6V8iz!r$H<;GMGr20eDbF1;Nv`^^K2>O8>pga;_u
zc)(Wy59sRN4mUHm!}YD(p+kE+y!)~ZL~6Ie^5fg!wDmR^7T5;1Pqso+)>g3Gz7_84
zZUvw3TR^5^3v{2{0@=1(;DG2B*wp6^c6sjL=<N<(M(z;tdox_UwHf}4+6)WqH$%GI
zW|$dtgM+1RFd5(maf}<x<#dDo`<o#1%qH-3-vn0Ln?U=UD=0O%f?B96n67e#^^&d-
z`pN}v7P$bwp9^@P3v{r%fYtqtaQn<gSifZ>{HL=K&i&^MuGgGFBf=S`);Ys#IcMm4
z>jYipPVoA$6HG03f;oat;MThV&gX4_37-wH!E6KEnQ??g9gfhE>ImDnI0CPpBQ#B{
zhoGD5VO7j}(B7~f#8lS<-zNtUu5|#l5C>Si+5z^-I6&!;J&c#z!-}K!P;PAx%A)p=
z^U@A<i|wE#zz%#C+JOqc9SruYgR1lE;Pl>ga0J(ZAJ;lK_;@Wu=B$O{U2EZ~*;){0
zUke)^u7T35H6XZi4FsC5fnPJLA>{sQkj-2T*F0ClUX#_JKeGyccCLa)8LQx`=PI~p
z!oti-xO#sjJjz@NKfP9h-u#uYn{6dDJX`^i*()Gu*9!P<z5@1ht^oFKTgW|U3(NP~
z!e6q5TfDZA(7POV7c2+IfaS1q(Q;TLyc{<7FN33{%OL;AGU!{j3>2i6fzMkTXsfb;
zc_(e4aIFn!E7?HpCu?wMw1%lDYp8U#20txpSomWp$lX~Av&l<gVjBxaOMz{63CKTM
z0*i8&K)~K5P-VFUrUjOO<IBZRU%D7{k1d9x6^p@0ZZWidTm;_ri$Er75p+8*f=um2
zu=kf0ths9im~I6oJFURN!U}A8tibEpLP#uL2yKTK0<Y~taFSgJRUa3CY{LSGja~r!
zt_xT`Z~++nv4pNpOE{Tr36^^;fpeiH^a)!+{Q#?+#bpMvLm0?&VBoR_1NSEgCRzz}
z(h0o132Kl)P=LU%AK^_of?F`cupPo-bp+`NfaX?!Bk2IlE&zT8;GG~q=W7eNe%S(=
zLM@=x(E?s*S-_v)=AhGQ4%>3fp>Ur${8(%b_LAmM|K1Gr8_b|2)(lMD&ETGq8TfFR
zflTjw=(;!`QUmA1j<xf_N^L%9O_+l0T~m<GG6j{rrZ9hzDL6`)!pZk0P}g7rQ*kC>
zyVV5Fo0<SOj|m)lVGRG38^h5MV-VP23?(|o;4p0j++9Y{cEJde4jaMFRYqW|VgzR6
z^I-1Xd0=#Q9xU894>m5H2ghaRLHQ>`_;}M03{wpu*xL~LEe*k1%n<6{%>}c@xp3q3
zTyXH13*Rl~!dbz&U^i$0qO}I_GR6R^wirP2d;>VaX8;FZ>%-w{eK-}R580db;iic`
zjPdA$)+;^mxuVA^N2mu9oAuy`i5`69(Sz-;bm7AlT{s-23*zp&P;aUWyZCfr&VUY#
z*62V}j1Hu4)q&&YI^Zj)13p9A;9su|p{KPWcZW8#k~aJl)drIfT5$Bb7IdU&ftHUJ
z#4XZ-ztSw*m?q4$XhLF^Cg}TX!sF$d5TeW~j`m{?u-~5p-T8B%{OBA=wwnVX+H)ZA
zp9Tc?Xu#<*4JZ!NfKFEpm^9V^V?GTy@J1b)>(oImK^+3U)ZxPdb#Rwbhk?&(;B!X}
zX3wgz)@(Icxk?TGsjI>DDOHH*Rt1+*RWJ`#1!Y%N5H(Q+L4H*bA5sDJMip3)tODD8
zR3K@I3UtV;fY7)yxOOT-)dgh`4^oB`j><4$pbQ7Nl;PhiB}lGS0;2>a=-a6TF^iO7
znVb>`{-+529g0wUK@qZo6d`JZBAhf-giszuIQ>QeE;J~>?PLY`v|9m`Z4_XWvI6A)
zl85mwd01O24_CtEL3Oh{WSGl?yr?`BjmQDhA_p(B<sj^k9GKh5!GF4PP|qO;QLkiS
zdz~!UB*}uwZduT^VL?R}OebYv`4bt~Q7!|qkut1&lMMW1WPo+(6e7P#!|M)duqu>>
zl3;02a+QXx`O=^!A`Mj|Qn2cd6nx2*g0n}Zz}`^`#O6uC3qC0*AC`pZo070EOA_1<
zN`jM}By7}|1P^XWI5H>!Y1bs+db$LB36KDtwGyyfR|4ueB|!L%IP7f_hu$=CuniE0
zmNhJ?%hEYn_BUc6bWIHE(#61MzZht(6N68BV$i@X21!Gr5O6~j+_FSr-62s}<sb_7
zhN7^QUlfkK7lF*%BG8g60zZ$5fQhpR95xk!RuK_U{45MX?ZT`)p)k0F2t&_iVQ?j3
z_$Vz5!Q(=p(j^4#WkPT)S_sU%gy8oQA-JO=1ew!<aQL|(xYr88+7v-p?k5N<)(C>5
zo*;Ph2txR<0F*WhKwqu^hy)41Iu`-fI}(6V2?4PF&JV>8`9Y$LAEKi9fomr}#9H%%
zygENznc)M6SA6iNkq^o<_`v%RALu*s!7pPzxG%y7C1bph(8&uYN_gR5BnzG_zLaHC
z<AstL9_W0<13#O1Krf32ypHg|B_|&EJ)Z~GO7KA0cW#jA;)c))Zk8Y7hGV<Afny~%
zr0Q^kArCinz2kzwJ6vFRfeS`MxS(PyOSj?zJ7q4I`<D|W`Z<BEi4%Tja>B18obb<?
z6ND`|K}(twmi^#>eNQ<cubKm%Cv$*800(&5b3mOD2Z)Jsz=5yqFz}Ea94gr1VLVIj
zWrx?R*&)Dy9fSqhq52aWZ0%$NsY`6o9m59cK5XE*k_{L=Hjv|IgTLLg7SEGsE!rGr
zEn389ExNjAEXI;&EacbESZtJ-u_$`-&w?}cpGAP<KZ|dY|13`Q{IyU_`)kqR^w%Ov
z=C6fQ-?YX2%xMdC*J%q?g=q`J{y!G0bN*NybN^#euky!&dvMBPNB)#Wx5t!)o#vFq
ztM`)@$1YA<X!}fB4C_x?RE_<%h_C!@an%2}#X-~G79l@=S!CD!`k$gJfvf5H;*?ah
zB2*$vtB7za^}Z#_QkF{D5(&wYt&+8!w2~GHDebgsQ)tzqJ!zwT-`?{Rp~C<Ed!O%T
zX3pGq?``g!Gv|C~-drkn7^mqP<D~!R2Sw%nAR(6@bZ5&C65;(pv1Q+BkN0=t-Tj@a
zM88vH{TO)$kCEfSF>;d{qlX>eDChY%VxRm*YZSkc%jkd9o%|me+x|x%RsW-7lV53C
z?pI25`ATQ>zLM&!uQaEMLx1jb=%)#Xrb%#UVH=yYBG_bil1({^Y!cy&lI^Qe>c28d
z)|#U<F>RC{y&s|No+HeCj8OgD5lU_vrqCzD6nJcyp2`hV#>f!0rVP>CD?_wTbBN-n
z50OC0Al>vHq(6p(<h@{!6j}%9Q^Ww>J2gNDR}YZN_kI%3?k8cVewwS-PqG62w5_g>
z93J*jrg<On$n=rLa4%J)^pdVaFIA$KEO~l~ucC)?{Cnu;fgai^-9t+K-6WpaO=5Q4
zv_!L;)VRCp$cHWpxZg!h`@2X{x{EyfJLz{~C)wL~(sXpvBc4vusqCO%0Uh+ltb=@4
zbkO;cb}~<Er$aZ|>ExDnaujH%==wJL{J4#loM@wqtJ<jcM=NQ)Yo(mqt)#oVm0B0H
zl558oQjPmUzb}5FvW;IThWiUWsQ64ifuAYB{4>SLeWr@9E%fJg3u(Hx&|QNT>Je)p
zgZ5@Bh;1glOU=}z(M%3J%_LLZL>&*CDDGGjIVv@g<#;2R<TcV>&qlJ?+ekMSH&Wz4
z1GS_!kkrivvf0`|m7)!#{^b+BivGlGIP!_AH9pbBnV)EBZ9TPx)>GWcdU9S{Pba57
z(t#2N{vXNe@JDiy|48v;b=2{$j+T4Y(Pfi5s+F!I&5>G4%d91J*IKIBRZC|jYDv7W
zhCZg$Q0UDXy0E>5jKpeaQ)e}?5~@k>YBibZR+E!xHKnvx5ht#SHriK_zfKkX6sjWY
z&y_R~Q%SbAl_a>Sl3oc`(#e(zl8vdLvC9=ysa-*7f)y0gQcf{3<&<VyPF0)A>4#7`
zDSY`rr{g|Qru_#J-SUAPL_g3-TN#~wSw_FFmeGT)WwcSOj7GakDIvL(uH7mnV}nvs
zmnbErff8DoQ9`P2CA8b9glwftD4JbNJ#UIh*{hgtA1J0Fxnepv{+=3(-qX<s?`hoP
zJw06Wp0@rgBCe_;`tZ1jo}MY9TN{h$41W<FZz?3~m_oX4Uq~Ukg;X@JkS4ne2(Jpr
z$EAP<4GYL{X#u_enoqiU`BdkZPiKzglZbLY<^Rp2TUB|q?P(q@w#lPu$RoC39u2hS
z5<4N6rrpY=#k+E8`{G=3V!xxpckgJ9-#a>Y<Q>&3zoV_w-cfPQTQUrPO9L0*l9$d~
z+Bo+ueeZrl*=cXc+x-olHhn{T<=)VaUpZt@mO}?0<<R9bIrLC7hsp$VXl8ph?M}|7
z=g!&0ZJbT#S7cNFkJog%<Td?%_?iMvzow0vuW3Z^HO04Q(dCpZ+UA-?3MN@3CYMEm
zzcWd+Jd>oKWRk}DOtRRNNe|{`QcZ6LiDzZdInNBLG|M10<qS%io<VEt(<wJPo%UZ%
zr$74Xl(0CRtp7`+HAQK}6`V#L)@f9xnMQAg8Fam(()3r<=JATAnZ2S_%CG1I*DH$q
zluEy1Q_1K?DrN3YCHdv46gi$kD?g;r+b1b>@L~#a>!wiV!W6O}Nha;QWD*NVrXN<x
z)S;0~jl#*)+?_;ynMw55D~XmKO`_fFlgNWFi7LJ%l4MFE*|{fD%Yj7Nu{x37b0v~~
zV*-77kw6Yk3ADr{foc^J$mj1%+WYY($;Q4U?wc=Z*zhH_$-bm7lP{>J<^}zXdO>2>
zUl8`Zpi43@D0w2DepkoS&Zu~Lc`csA_Qca&nRw!xjHCNCaU>HRM@84;$i^^^mdV9Y
z=Tt1k*TvGU*jPGzE0*;3#?nT`SW=r7OPd;E$mC@VU3Q6~$NOWbdUXs5@-VW`(G;5!
zO*|gabk01Q+Sf;u+3aZQ?u;VatSA!ki=vDZQDmhVMa$+!QU72hW#&cF{oqKlw~3?^
zx{+kQD3XqiJ*NvFo|8xTbBcF(PK~>tlaSnV+Wj|z9({_SuP-BLk6Q#~ABv#W>mn#&
zRs>O3IF-E)r<3=?Nzgi+-f4%^wT0oN{q-4%ls==OuxC_t<r%%%{fyG&o>9iXFe+#a
zqo$-V`gJFamK_ZvQ?)P(5DB9%15asn{!{V{c}ia|KBc2Oo>I%Qr({0)ghoC-A-9)L
zNY?!cv!(SD@}MWQP523k4m_rwyvLLu@|a>TJ*E)-#}u&QF+KbfO3@9W^e!osIy^#2
z;8-Ya(g-D|d7)G``iK^lJR*l@kEreHBid#Bh)R?m(T<sqsIfhS&b<yH!3QCfc{YSj
z>xGb<bO^D3KcsgbAJW5whjjhULpo*gkjyn0h%tFiFkLSTriagi>D|p>V($wkIh9~K
zEf7o@eL*CUA4F$DgQ(svi1hXZQNALR@-XH0KsuWpNP>ZZlzBdo&g=*zd6_`s{0pGm
zmH>K~9zfUc1(4O505a1HphHUo$a3ld*)~2P-_!?`>hplwPdy;9Ee~k#k_Yr;!k;*w
z{AovuKP7tmljJFX^55)FbC&p1=)`?m)o`CmQ|{AQpZg?XeV=N#+^74}_vzr&JyL4A
zN4#nGXxQ%_HJ!OfRa@^-<??&<>7O6<efFbiS$?!Uz>juc@FO<^KPr&-BYqw~I?(A$
zsc(I0-XmXfwD+YkBVW3p>`UXbeaU^mhos*7(7SLSI(5s3Bo6t|CsiK`ndd_%|MMoz
zDsPf};Z0l~-t_IbHw|y{rqRXT^lQ?KW;c70T!t4JJn*7x7rZEWrx$S)y-1bMi#&Qg
zsk6Y7Hb3*E#G9VP{6?OhsCm+|`JR+Cc9(Q(?@~|VUGnn2OB$!|()X=*DP86+Idb16
z!%h!U%Jm@OCmu9;&4a$~_n=XxH;v8npy^|GXkqOgQcb!;M||#(-<dm9y8RCE%ikg6
znRh6v=Qd3%yv_J`x2ekUHtCq(rgxgRX|v>Qs`>3sCz{-eJJX%w0^Mo9tvd-DyHnL#
zcM1}5r;{8vLX{gWNpK@RZ#VjV+KtAxyU`DMH~PoxMxy<$q*UxmyQ5s`nwu*nSh~`n
zjw`KN=1NzmyHaI`3n}EekZ+g^P2O^$3+65~%5tGgQZDpw%9#ScIMcc}&eR<0On0t3
z6YG#Ov-__z<x4n|--HvLXmO&=*-oVJ$cYwSb0Xn`P9(I^iNqwFXzO=JvQ2ZO6kA97
zyWWuw{kX;0;9I0?e~aqq7M=fjlNM#&q-KYk6s>-fTqbUiP0kHEed7k%vu=?8-|O@?
z_d5M@x=x#QuG3TQ>%{l|8oAuQMgrTeQ563*+Esp)czv!?^{%TFBXX5|>m0~Ez=6C?
z9VlX<1C_R1p+AqWkj{}S6twgTO?2DSxoCUhoU$k9mG-oZZATxI?dZW}J32;owCT4k
zDZjBLB}ZFQ*RdrN9$RuMy-e9&mubfC%XE0oWqSYV5^089q5`u^v|suX{pr3)DKQtx
z_RK}nQ@%)YV;5*a<^`I6{Q|Afx<H$_FVMM?^AziKp1$oqPx|xD)2k*MQhZ`V$rd)G
zD{Di8L+9vm(m67>Jx8n6&ynEYvou+7ma%1LX~xd8w0O>0+S+)A93P*dVv92*DaYhT
zPSdxP({%aDY2s#`rU<Unw7b-rX8T%GgRwOwiCa@}`zi8?Iz|3xPEpj_Q&jTPihjPe
zB671L*Bw^WE@DO78&6WflasXl_(^J0JV`G9ouKtuC+PdF6I7^sf}RPSAg_<d$^FrB
z^07Eh&*hI(DaVo~Gb~B-mL+-VTGD`kCGD+0MpdE5$kg%}jVK<Yd*3WbC)<L!Tr8+&
zy9FhPTF}GhqjW#~C_S`3N(pO^GX47qO)oe?+MY+q$LI(RNE{)<ZgVPmVNUwC=G3Zb
zPB(eXX=T-6>JK_hDMt>|UHQXg^Pd@6WSh}3S2Mb3U`9S-W|Y}>h&VBaXv4)r<gxJ(
z4RRl%{gnr)KIkBsA3aFp3I{24>;Ub0dw_)Q9H1|I4p5fF0SfQgPY)CK(_@GIl&G_x
zDh2k_M8iH>AHI)noY_aU8<_mGeH8h@l$HjX(#s>Jv_;XBhQ6E7lUx%z>}f(PO-yK}
zv<b0?_ELBHUg~q&OXK=`Y3_o(#Og98y98s(b}%M^Eyi?4*q9nyjL0zBh?*`M(OH%e
z3Gy3JPQ4-7KQknpH6&(r8U5fkq@L<M)DgOehOG9`^!0m4X4)Pysn|{a4|mg-<GX3y
z+T9fVXBY8(*hRO4c9E#%E{ap$MZ2bU(zLRj^e%8G-95IGER=VW-jo5Ul^GBP8PFz6
z13IwAfNuTKr=$=1G#ac=YA5u`Peq@`{_UXSl{={O(GEIuY6o%A4vOO5K_<1^X-?R7
z`h0dfrEJ_z5BRo|OT#w08M%$zFKwd`?QN7Tw2k_|Y^9|ywvyG=t(3iWD~ZqFN^U)R
zG?l7HPR@EHx<`)^7wgf!QC$*zqf6DEy7c6LE;-2S(vhEA$f$S=83t~l!^gLf-MTFl
z!nK9UYB$r&@XgFPv6&*ZHWQEVX1dg-L&FI=bn&JRaqrZj@I^YLKeCCYzu82EUYqFt
zp-psV<t8$m)TYhl+O#QDoAl3UlZA#hxz5(6l+Ri;{6dS?-q0df11;)Yq(%Cpp!~O>
z&Ay;obI@sJknl86UJZ+GhO?M>ibax}Su{D9Mg2XR)Sj+M-M2OA+dfSaRM4dL6B=Yy
zu0c_cHHdRggLJhtC|X2==5}o)?^hd1#C;<@Gu=p<@*Ao9w>kxttJB^m>a_U0I*n<o
zQ~exu%I{I5*BNT`)<cad4ysYVk{SvAQzg`@()H)6RA{G43%03}y@V=tju7q3C5C$-
zI&qxn4-q}%C))jG1Mw$qpepAL6t;H*U6<QH$0pX3N#%Mnezu;>F0ZExdh6+)_<G72
zSx5int|OHP>*&_Wb=07~j+h@%Q%r{nNvEk$<Q)}ScSwaQSF6w^E)`ndu$J26)>8D%
zwd7#9mP};U66^OGT2r}(R)?=4Rl7B$zkLmzmRdsr|0z@1du8H(q)dBllqp_EnPx3e
zCcEL)G@QGd&IYWeU#C`+A8R$OowJ%+`&Lmv&MGp!w~CgZSVfcStEf$A6_s}@QDK%6
z75gYr{V^pPQB@*gK_y1FR+3%jO3LzHNi&bFBy-i3lrON7l)DruCR33VeH1C{m?G^_
zQ=~CLMS9k)K>J@Skffgi4IEdXyp0MJA)-Kjee!hsjXZhy%TvH9d3phPs+cEFzlP)(
z-%*Zig5~J-IXM#A!sI37sOhUL?JSX{iYKyUVk=97J7nq3Qdv^|B|}|RG87giLnm*@
zkeaa!%~O<Ncn%pFYFt6Ri7RNxeFgnCTS0TyuOOPef{u4Br^m0CQ`^1eq<CsMIcqJa
zuKCMpCwmzcykAC}o-Csew#(?S!7`dyzKp^rmy+?vr6l}fDSdKTN>K-wlB3E}vYfS)
z47;Rhd$u&``%BZl)6#TKN1A*jq$%^;5*q%ngcP1Hp^Mj-P=WChl2TeiE;E+Ue_s~U
z>GZ`k>a&=xom@<!T8k-V!D2e}Rf>emq^L4niUO}m(Me+|+N2~!vOH2G*0zX*G8d7^
zy+yRhdJ(DUEFwe6MRe`EBqdZz(onP{t#OhhrvsAIq9REw0ZEGQm7t}$5)}SWf>vIV
zpm+KbbVx>mxc-S#YLhsfO%*3)Z*iJBAx?E#j7(gdvDXX9w{jtQ#w?_J&I>8*&_c@E
zu#j4W7t+k31*B25fUZ4VKm`s9Xs+=BvRSo&>UbBBcGrB$d^4X^gXdHJ#rd??U_O17
zolim2=acRiG5V7sM!EOJ$n&finQs*%&1GV={Leg^+cb{^Ud<z6-+3fyJ&)FGnMb>p
z%p<#rxfK0rE_Ec&rRCmp>AclkD$-%{i|3Np?>RJ8KZop-=g@DjIpl6Nha@)7p{&Jo
z=*Wa92{(vRS&Arm`-swhYf)OID@wDMiqf|!5$b9Zq0ea|)Ot^Z2F{Am)HV?kmk}YY
z=^|v)DojzYg{e1Cm{wmBCZ}D(^jT4uw0MQ-Ww#J5%M+sT$3i53Rfw`ogvd}uh{lA3
z=;^Q^8I=l>P?R8jbQYv=b3t;@5TyMJ1xfpd0IjVPpp{7iwAx#M)U5?*r=9?vUM@g>
z(*)>k>uma-J)71)oJ}|EW>clnY?50uo9+rS@}XH|RXU5hqh`@5*ID%A=q&QWEK*oB
ziy6oH$*GZ_)YAFsw?97>T;QjGUHoLD#7~B^_(^kskJc3Pky0cdt##oe9Oa|E;G;{6
z_$Xw8mr9#>X<8;PX$SI>$7Nn>HsmFhHM|rc#7loiX3~Z7nKT?XlWaU@((jWq$wzl4
zDXf@Dm0UCFS|<-F=kd_UQyxma$wN+NJY=fDLmMP`XwmN(G`ndAab+?HnnBZ;zaNK(
zH@@LMqoMsTNh5Ff5c4jWIhxxxC~JC47-)tJp3>B+b<vDmc3+d*I!x0tGC{MvK1Xx&
zM44voye7>XEBZ7I6uxUlicV)~@bj_GPYSU%4~VgHsu!_ZQkJux`zo>|POfEbR#Rgw
z<<VkgR_L<${R~(V2F5Hl_d%9N#!=R=r4>t3z=kE6WXs|hTxV5&b7J{vy0P+H@34-Q
zda~?i`Lh0Ozt5Vu9l)~54`v<u{fJet`Y9{QBAmtJAIa*?jbZ5x$FmgXC9>`@Zvwb!
zp2qsmF_Xo9n$5DydCT(nl*dvSEo2?wDq%^8ePG$hRI*Ih)v!L|BddRF11n%xGwZX_
z7uLJI?JVr=VjVW@Wl0$fupGAxv)neaS*ut7$8ucqo#i0(lO;L%n`PZQ#j>pY$GUxB
zI#kNJkf|{PVlQ~GQ=At^Z}VZ-H-3m8o{jus0c=$k!iykbu%|>IdTb8FisxcNUJM1E
z^Kou?0Va2d!zNAw#WNRy+foX0?-oO4p)_PJF2(e+Whh><0(N#X5dI*G04aI!Tu^{z
zz9N!Dl`wd873L(ZhT@bm)@@shRS#6Kuyq~AWj3JX9KkzH6}l5@7{f*cyJ%qTdrcI~
z1oXFRq4Ksiw!Pnkw_KZ{q_qV>*K{$JrU!HOR=ktl4oUMJxDud`x-tW-`nwYzYj>l^
zau0L@4H5C)2s}TGab~#*8upk%@8&+_#O?=uJb<jJgV-cvhB|}8ID6R~!XZcS=Iv3~
zc3MDnh9zdo9!IC%36z~YiClLp6h1$NhCFNh`f?hIzs}&?oO8%uX#=?}=ke^&1t?v*
zh>AOx;Pm)1wkO*{uFwvWpX?#qcLm$V9pJ)q4WH&-$EKw>P`v6UPO9I6^cF`<$~wXJ
zg%hqTJ45u9Gd7S52D4nCq~VHxZ(MN<ZZOGpLz9*}MsnS8U+XqX-`&PN)*TGx+(Dzd
z2TU_PaBBTs2&UYH?kZ1+#(Co63NM@p^TMdOH)aKR<BgyXxbOI&<DU<V9eiQ-)fbai
zepuV?hd(CwU{P@oW;*x5$-EDVRsLuV_lMg22T<~SfY*N>p#4Gs!ny<S%OnuPC4soA
z9)$4tARLzrMuAr_awdbZ=gdPmwLHYm?IFm>3_*^}BOHG42#=?Q;_A6jj5UX1w%%jp
zr#yz3)D!S|Ji()HPf%|56rsgWF>6g2#6!YRI{g_Io_+?tx@QPc4@dd4a6ILWz#N+h
z$k#`pL;X26hCOGVQzRNrMPgxPB>t?4!tH=4r2dS8%fV=jzlnzMk{DDt#b9+;3^r_z
zMd$NasLY6i!tpp17si2qc|69P<Kfy7k8Hfa!^bZmHSq#F_Pxa7w3m1!l7QT^3GgmW
z!1NV~SmKz7zUD;iTc3oBzDd|Hkc8)(l9BT$88^q0F{GaYuE-R;pG?6z<5U>Lr$Ti4
zE4b`?g|LKIIK`cYw*6_CmY9ZWu5{?{ONZTybQt_gN3Br?W<+P8_g4mN^)r$BBokqr
zOlWM%!fpR7ICW=1as6w!xxI#O{cCJnk&V>L*{CeYMu=z*<{!<$mc$$^pUOen_BZ$$
z^adl{Z}4EvTa4Uzi(jR0kvZ=j6pp^bt{3khJN^!-+PV1VnTx*qT=*`|!;n=TCX@4!
z_nX-;T_+#bp842SmyZGQ0;pLO0I>y_U>D%*hC&2fFT~~iLh$nz!PKA#2k#d_tf2@V
z67TWK{5=9A-eXPQd$=kT!}n}4jFO5`{a-P7)|cSBT?rm%mf-KN5{Pds1^ZelZswGt
zc(N29G|J#{y$sWH%CKRg3@g+>p!&)OY{>Y4ecwM|y-GPM&zEC)LOC`Jm4jQZ0=||N
zXb7vo=g$>*vY--+j4N@#w-S5HDj_hV3NENZrb89tQ>$P$QiTecYD}6}V=%ZHK{eIj
z=C6VBrW#0ItwBk04b~0R;K-6%=$qE!mv=2r6xQOw?^?Jh*Foh(9iBg`Lql~PKFs*Y
z>_qqxzs`MxO2kL3Zup2%{(9K3>XCY(9<QI*!?mFvBK)6lRO1tD&wYYH*eCSYe1aZV
z1FY9I!0>nj{sc7O-1`PZ{Aj>qnMNEkX+*nQBjnQ>q1xRDfjLcx)^5Vg^G#5C(u9TO
zO(_4>ge|hoa5HX(ms2wiBs7EF+>9MFTX0UL1^dlgFw3(AZs{#3?r1^H?9Ygx&tO@6
z#xt+as7U{e{Pxdq<o|-1>%PF$><iAje}Pfr7yNDb0^5IIkS5oPce`8Rf29>`!dekh
z+=`0PR(zP(h6fsLkUQ3f+a7I5PHY1+CkCsDHhf>wj-9&gxOBQ5mVWJ!PHRV8Q#<}m
zwPWeh4v6S>pyE^qOuRerBB=vabsfn4(Se%_JHfBf3CqKs@N(>gb9g6o3p>%+(+Rbi
zU9ght!ijBNP_gbp)!i<r$9LiKhc4V0>cZYx-I!A7hVAxlygAj4k9WF}9o>yf@4GS4
z-3=qI9$c61fgO6FW!8h1t3A*Q?tyDs5BzI;aEaZ66|;L0BiD<m&AnKDv=@tR^rAnw
z7jCb5@x7`SG}H@yo<68Z_hDpXAFi78q4|6t1U&mNCz6r9?L$aoA0+<k!}(eLc(}YD
zftvj|Y0{6`HvMqB-H*Db{rH~IkKw9*WcKxA-`{>zhz(%DssX5O8GzEE0gPW9K#<1(
z1i}WeFMR+G<pVh1IRMR{1LzPK#KC2Qh*up%t-&CwECvx_KZu=PgQyN0Wcte>_LmOg
z=$AogeI3LP?jg7?7{Z|95acifO~WC^_6>n!KLnq<L*RZq#60gIT+L%pHw43;A#jZk
z!JBs&oQ1<sQXGbk#xT|z3}eD<7>~~lW8tk~*!T|P$<tv(Cl2H8yJ2jt8b*8TFbqeB
z@pNh!?`MyoL}CPy3L`L68v#de1cyyV5N$bv4;M#J=E&6fjNoAC2u5O=G-CwM3rA2|
z!_>8oAZBO;7C%SulY11_BBRJ!G>RViQH-n~MXmNI9vF;5W&bD=El0t7eiW>0qcC(I
zh0eWEh=h*fP1Gp#l9~GKQH&LhVt(}~7B-LKSJx;qMn+*YK8nhJqmboi!+Z`KwvudE
zuV90<ijA)u*o?hkV@!{YExVbzeQdZMVdIh&8`|gDVB52C;}#o3?rf;~uyH(qsS9P}
zXapOp<JkC;#KxHnHd@}Wp;*Yqp)xkkRx{W6#KzjsZ1i@pajlPy|AyJv{vUI#aW<Yz
zvJo<kgDX57&@2ubg*Z4kmxJ5|9L!wAfwD9Q8&_~3FVDfRl^nz?bD*`3gG}N;bR!45
zSRB}Bb8vAp2mACmklxNgg+2#|c5zU-hlAzD9GIDKaCIMp0~{Pa#DUCV4r<LgusF)W
zCkqZ%S#n@~oP)b3IPf{ifxQ(6n@@4@gMpVdb04QUILY7zgHH^47&I|RVQ`+o90sAx
zar_JpGv5hfzMsyVC!0B66mwoX=KL#<aZtisZ^sc1UNP6_GUGt?AP2_#IWRHh0DCzQ
zG~%FeHwQ;|a?rhlgPq$rc&f`mgAQ{qS{zJiaxkRMv<>sWUuW82$r`3TlsJ%5;J`tK
zx!zLd-lRAf7w6!s7zcHt96T0e+K8Wnff*c}nZ}%pX>Wy}Y@GPU#@$gif(F>|?q=h3
z8}p2s+35VpJfkW$rb^kcVxD2nTQ+`WvauwU4ds_?$Vam=`xzUJA#C_OU_*)N2kEyN
zxf2`iSJ|kz#Kxa9Y%Dy%hLkxQ0!$z3W%^R=Ha1K*F?~p#jf*O5v?;Pd%h_;{WFu-W
z8*gW`k;lzO;^ZjqjEzEncoY*%pABdkg?Qa4?v{<BH*XY5S)(|TG>V(i%yCafaU)<9
zhrLFj=rW3K2S&!|#DbHIo|uhd(r6TWwvRG?<0#&37)9gCQM4`{MfHMFBnXbefzh!w
zzeiBd9>Iy85p*|?U}rU>pG6}Wcs&B~q!Fk_jzA}51RH%vAniJWu`45Zb(YalixEsQ
zdhNDj1QQs6`MMD#$&G+5IRZ(M5zveg;MXwLk1%$lV;DmphY?>gi~~8t7-wvUa|B~o
z0*7(z?l7`$4CBxFVXUznhLI^F+dd2n&0*|T9>&UL%<=Pvk<8eo0~15|Z)6A#?L%PK
z4#Bu+2(cMMj2#)mlF%XO_zYpM;}A?P4nfb7v3n*%_^CI9Otm3cF?Mj~q9Ftd4q@KE
zLAWwDva53tYd;R+LeU_?(g*P_dJvVt3_J$$_Ua&>oF0VDp+P7!_O?@#`Od0A%wIf+
zM?!-T`Zs{foB@=z4?v`50Ne5ga4~rRUe6dCes2K&P6KefFo45H8QZ>R0Haz12vZ(_
z&XNH}#~C?e|38iP1FiiCspv;vPCr(>=*Qki{jk5=4^M}F+_UP(9n*eX(Cvr*`hJKr
z<4Ut=KfI>(Lz&Zu_pN={RndpC>^@LjAA*AWFyP*YRknRNeyk6^d;0JKeaKeo!yAb{
zr0_B0)Oas0_w+)$t{2ntdhsfu7Y9On@y(+bj`qFyXW5HOhP`M)FI1EmnRqX9XZB)j
ztOpXEJ=jpygUvZT(2ebZMj$hGy7XZB`5x3A>Os)99_-rCgNda*OdIuJ^<+0P`n#c0
z-;Id8Zp=*R#*vV2ymarz=*4a<Gw+7Mj&7W$Zrohf4L6}~I8AinLSGk5>bkJ{T^FX}
zx{w>#1$*Z%EIZeQ!u?%1u%!z<%3VzS(S>HlKiK@O6A`VQ7%%OFR$3=+hIJy@vlGpB
zo%ngQ6SE9DF-Nr%BFj3#E!c^XpB?zn)q$s#9k9ykfb8=QeD>*pyF&+LEIW|1vjbbz
zI#9N(1KNTeNch<fk*;=FSF|H5qaA;qwL{IT9jEQu;eVtZ$=lmew5}c1QthbWZAZy}
zZAkyzhLHDduuW=%Zb%yhUE5H8whd0EZCI(@hDwDtoSfT+A5*Qk-q(s>)vY-Dx)qHP
ztx)%7{4TpzbeXq8VOuM#*0$oYL@P?UTQNNH1w4$8Hb3_Zmc%l+&*ZN$GRrR**8hUC
z^<VH*>I+WK{DRe-&lqa_j3;@Yu`Q0t-~SA^Yo9USlJNueKV#|o&v>-xGiLLAhV5tz
zK7DFo+Pnph(Jd(TZ2|w47U&#l!R4(jc&yxlw+mX(_^%m*{mmGwZpM$yW_%56M)#d&
zRGn`|>b_?9YBj@Bt{H2Dn=wA#gtWFMoGEUCWMUHv1DkOCW)uD%Z^AtTMz+2QVUkT)
z#N7n{p+-!vYlQXdMtpeIh!q}<xN^P`g{F<*LnHJU-}t6LBNE0M(9qI=-}wy?i)(=5
zy#}aXX}~7)2I%NEfTh%cwR0P=Wa1NMb~65U$tUC|enMd2Cmg%+2?~~<Ftq&>BG-Jv
z{sqi2f9sLhQ;*%{^%zR2hvUO~2szdx_(VM<4471fDT_1me;+Z_`w_b<J|Z#oBX~nT
z;-KS4#Gd$wulh_3pz;wm3qK<2FB2d1)M0vg9pqB#ur;_27B}l)Z&?TT?RD^D;)n-g
zb?~38g?DEyoJwkOKA{%-AJjtgYAqy>)Z)jMT9hf);-N?_j*Ztq?n@2&^J@?hQ-ggz
zHQ>EmgVg;s*pC|gUS5MhCWcYsR3o>(8auPAnRuug2i>dDe7YLOd#X{kp&A<{s}Vh|
z8iIXQxKLh&s^luj2UX$b^(s^zt%A5-6^^c~!gG--bpEJ><mXE4$*Y8OR3#EUE75Si
z5)*qXA+fO%8<teUU`8d53|7FVssdMERWR*V0q2`cdW<P=t-yJu3Rs9%VE1@A)IXPF
zNnSaoN0p=fZaH4tl*7-s92RQjP?jpk#Po9H_kDm{`3G!H{(!#$ACPhN15TTNfW+nx
zD3SYs3j!Y?_Fow?Kb65Gy9{5Smf?<T86;1Y;e|mN)Yg_EU#tvUCzv?0trXh}OYuIY
z6ifh*R~JelV^WF$^-}zkDuoqSDJuF(u)4eiK1n4Qcu)duhY|#um7rg{1SC@e7yc5I
zj}}9;t{8hWiV^Ur7`3;GG25~jI$Mijzp@yy!o_GDdk^lW_fUHC9!AgJ!`|&Zf=|6i
zy1{$Yta*>YdGGP>R}tp47GZgQ5!OZ(fpxbCdgqE@U|57b8;W2k&ZK_|VbEC!z4wJc
zTp`x^6hii5A?BMDVupGlzAh?6^Rz<b^%Nkgv;cQr7QpIW0d#E(uylU`CN&CBx1<0u
z+y%JSpAY@=d`Kkaqu)OtsrLD}elQ<8$OrGTe0<=^hu2^pc2wqpHzf}R0eQIYkOvjB
zJoIbj;nDIu=<_msz)&vYs&ZkHnu~vdxrn)%i(Q9vF~)EQK`U~h#+Qqx;dijFeuufQ
z-XSsQ9kyP3hxWtoV7KWVX34z66TWv)9(jx0>bKbS>McG8y@l1axA^byTU^`p7Sm<k
z;tt<i2#maeU-cV?2YUm5hQAQK#*`1gfxxCW@L2H%TzqeEeK-eWRXI4FnuGSh92j5C
zL9tm5)U<ODw>$^pygBd~%EowQHY`)JQ5}$tjSks}Jd_PVt!&sW%f=U;Z0HQWMoh(P
z%uap{n+LB^WB(d!55C5I)@yu~evRETUL&DD3$x0za56Cq`S-K1$Sw=^`?FB3kp;OW
zS#adaLPKvRl*%&U@-h>RewkQ#ITMbinW$6Ggp5=su1w2BX?F(1OEO>`pMlpt8Q{B^
zfqi>35T%-dF^LRp`kM~l&UAb(N{3u*Ixc&q<DE@9_>I!BcSAa!E=<S3WExc3({Q68
z4ez7UAapkk`_85zY<C*^Rnnk5KMhxYze4VpSD2ai3Ok>_Lcr};_-y?O%XYqk^_o{m
zp8E<v$5X*-Nrmg%RFpkSg|J&HOsrB7x+4{xt5P8+nu>GZQ}C)W1;4XXp!GBbx1Cc^
zc{~O4wx!_E$`nKhrC{*CWUTp=j4N5m$PG;fuVXTHA4^8CZZg{ClOZpVjEkHkWY;Bu
zJ0l4@Ly{1DBMF^HlAyFX30Gv3P{5xAq0vMftVu-lt3-?iB|`gJB76=f;<I)l6jmg{
zfj1E)LkU<=l>n=h1Y`vyfZrhjhYls+|DS2g5@5`efS7@om@I#ZJxMPS?f()}b}wOk
z;3eWUUxG{eB@S`FL|Weq2z__~>x365y7vOowl8pV-wU*Cd;zt^FAzNa1%CF#V_#`J
zvR=eP!Y>{-FU6zNBp$lz@rYj(50Po{xY8Ym_To5fi;qK!PaGsK#^LtfIDAu$!x70i
zRQ`>HW>+j;zK?}eTrB*&W5IPH7WT%m7^YZQNW`M)PYm{S#-OYy2AgAJ@Xjj+8_&le
z(}>|JDF$icF<Ad68tEO;P%Vl^PE0hky`oWU6OEll(fG6>8s_5B7?_HJZATQQ7e&D@
zCJKwaqL5@0g-u3LsNWEUQ{qwhI~9q*j!3L3ibQctBrLobzSJfXkBlOrPLXI9kHob<
z&mq<M9Qj4h!Mtx5g5J-Oe*QU*7(d4>)#u2Nc#h+LBQUos0!8m5U>_F&MV|<U7mh&C
z-U#ecivaJU2o(Ga$F1&gXqJRyDn1-<eZ%2&DI8l&!!c`PIBKQB@o0KDj`u#pnzCp3
z`|=qo?>)m)+h@42{~5MuK7)kxGyKQ>3?KT#5LF%q=cF(kc@PGzD`Aj66b5dsFbpgU
zL)FYMWDGsUv#O`?PJN22K~Hh&+EW}be+mPgr_h#t%EZ%8v6}q^@^w$JBI5~`K6(P_
zTTFV4DeFCfg5ndb5qbi(Z;zqV@EE(YAH(eFW1Mw)j9Vuk!+*zP#IAmfyg852JRXYg
zEuj$24aJ)0p)kA?3fnWG2-zKqymg@%To8(RQ;)Ez;}H{2JVJQvBh-680{_KF&^CF*
zaORJYCiMvaO@G92qanEXAp~iOA^7bdf=yRK;B_bjjang)SrGy|z7Uj*JcMNJLtIRM
zh_aA}SbmG)*N;6!yWT@+uY8E-!VkgsJs9Vkg3<gY7`oxXc;z09<)?!YxGNa5)&;|P
zK`<sJgJ9PYgl|PbxD*$J?><3rxD<rHra`!)5rjF?K?s`>1m(d%<W~kVww~emg971p
zJrGNd2I9?@K$s~6;;&#JBEAJ+dt(5;<pki#vjFJ32Vl}V013MSaBN)w#1{tO<J1HA
zbw0q(;s+3V@c^}c4-jno07niyfC3(1eAxrM=VfFg{y0<X51kBuNQU}j+|eKP$Nd@p
z+8@EI{c&TiKaT&pk6o?zp;2%jiZS=G$ooD-F5U;P>3vMoxR0qN_c1Z!J|+k6;cwMF
z%t*Tj!H|0lPjwHnmiIv0?qU0?dkoKW5B5L(aQ}-R67&5~743(wUVad}=m(amAFMR|
z5FqV`LLNW-81jW;jV~<HeG&S|7fp`7Sa8A@2X^@4iLx(x=J{gvgb%K@`!M?J1Ic(F
zT=4TjiLDQo9`wO2Eg!V5@PXDWA4GDzG5eD@?6SSl73K{icW)G(_J;Z%Z=`JShLWT=
z;-+~+q0b91%e|nI;)U!WFX-Oz!bb})9N+4NpGscvnd1f7U!Evv^@K&CC%ED~5$)@V
zowlC%dB78qTAnbL@dVFoPh@|+i%Si6vFgoT42R#vi#vB=bM7wI8{fqrwYw-=d>0RA
z+{Ni351_^aVi_LbgnFRD*#j@FJm9y}19s~?82jRZ9slk?t@jQT%I`ob<qqZr-+|E0
zJB$y+U^|mnW@KVa-Q;a3bl!$q$!+XNxXtM6ZP;IB=BbX{MuP5bRIa>@ucEgx|Cc+o
z+T3xb$Q_U3-BEGR9n-J4L;bKjY&W|jRlyx&!tPKVcf+kOZYV8qV|;u!obYo)mYo}f
z%-mq5<Ay?cH!Kr&gWC^R41RWnVSy{&#JXaopDUi&xnho)D?D{v!K2^`S7BGo7<Ylk
z7Z(T@x*#OZ1+w>CkYVqF?T1~^zS#v1iY^cnbwT=1XY6lt#@`}m#Jq5ZvA;98t~w*_
zh%>D9oUwG3Gg{|5<MD(O%sZX1ywnN9iB8A}bb{LrCzx0|L2-u@xYjzMb%7J?|2RUe
z+!51498rDJ5s~X18Nb017B#o9{pl^Jp1lR7jkh4jcMI|jH?b!2CUEH{jI?j!oX}19
zez}44_!|tba{~*u-hh$V4Ls<+j+T_`4BvDeH+Ee|<D%<O8@`6H*ViEEaShI<*D$r>
z8Z#$#6*CI1!vEe?$R4?h{8d+RY|4T0X&jIh;(&9f93ZdifFT|Sq}E@7^Ybe(y>ta@
zH(kM8kt>*Nv&T?^J=$;B<Fmd!S|#k!H)x0PEISBz*g;{R9SmgcVE@Aw(M7gseP9a-
zOIw($*dlhiEq>Qr#-3-Fk$C<x=4xHWEuqW!+Ik765-y?t#wDCJxP)Jlm*6#g5i4>o
zqR8_iP9MC81&S9@{`&&l%Pv4K<N^e(FW|G<1tjxbfLGIboQpjVQ-|}=-F6-t3(rG!
zzy=$$Y_P?{27CA0;EcQt?*2N5gwk_pdUy`Atj|G5{T!V6&!MFGEat|a#mQ@Dk+<V4
zq$SVd&hQ!h$T@@4-e=Hjb_Q0f&fx2x({QXh4Y9D(NIicVCfcX*PvkU`JFRgl)f%#{
z))+RnM&=4@-2HJ1$BIuuC-@W;PMyMh^;4KN>lAoCTY>kb6@+hEVeu|2tY2aU!>`O+
zxARZpssBk-Tb=~(hLg~pc@mzDC(sak0t(koz*YYQx)+_m4)$?m<sQeX`^OP`>^L+3
zcO0*Hj$?D9C0b%FapjsNBn>Q4EM*A?&M~abKZdXV$B=RS7+mQX_VFEqN{a>NzO=yP
zO$!X|wm`>H3$%_MMd$mY7!E#)DeI${r+F0XgpT4s#}V94J%ZP6M=)l31nU)!;Krmm
z$}7#W^qD#13z?&1i#c{IFh|bdVXS*|7^%L8p=xm$h3gK(bmn1vZ8F3C7iLhuWrl%0
zW_YsP3<t&!VNuy3^o1Tmrp+PvZ8`*-d52)!e-K*P2chC~5K2c6V%55X*f8@Twlp8W
z!IuYM?|1+qMh8$Ra{%9e?T1puew+#0kCaRM@mF_0jKufj<;Xq==Iw*sgMH{Zxeo_7
z?n9&CJ{;;aMPHgJ96U@RVrGgYWmA}Nn}Vy+1R3!rxOmG1>x@h=C1Zk$-+K{JxfhP%
zdtqs}7rVCag|^gQsQ+gS_4mfm4l%~AbH=dTWDG|!V}uVH;lo=aOx!oZ+LJ~&ztIS3
zLPnU@Z3yE`LnL?^Lg=U=?AIHjhtCiPTKC{n${y^$y$4+f_u#Vf9?YJx2k}k2u_s|S
z{y6VOis^2gS-BfZ({|%~{Vo*7?Lx?{U5wAT3kT(QLHEy2sMhVonivK*n7rXmX8vy{
z_D>q%a*Y83qYUuwngQ6m4Im?90Luw|#8&I$d!#-SkLe?Pw>}eR>EqPI4rcCh2lS(M
zpyb*P?AWsd^)fqfVsbnF)NIG&=<U$Cu^k-4?TC=u4zoYoAoXz@dSkaC?bbGU?%l@l
zsN0}FZ5yazE975p#Zs58klw!)va7dZ-Hff++M<VJ$$HG3mmU(#^w6rJhk5*ZFlyID
zaJnwKymYbtm@a(ObTKNVi@m*DP>{0)s{UK>>eLnxv(6(=YzquWHe;Y*Gj4}$#>xwu
z(Wti>o>H5!<+~1e%5_i~u7k%8I=Hl32fJi-u=dX;NY-zHz>7_o;j#(b2R4C!%_hv}
z-2}xpZEQ)`#tCn2_*iP=%|>l}6V+yX9xYtX)55!8Er^`g!YMs1lt^h|)eqoN1t1g&
z+`SIWHU<I|f#qDl>t+^AQ&^brU?J)#3(U^I5D{Uare705xtg#H)`aSLP0ZP<iSLUw
z(K@by$|?;MMr$DNmIjJUHBh};1D!K9FwwRV5}6yJ?Y9x<tTrNCYa_la*oehn)nQet
zj?8E35WK36(}wD(Qc#CFmpWdwsA0t`H9YrHW9IYJkfEuD9b#(e9aY7hVpS-IsiN(Q
zDgySX!cajKVqB`|Xd$G$BHZ;RoH{|+1%k!`!s@RZAYZlt3K1Ky_WA~B@7(~?RU2?=
z<^}||uSagydVIaV9`a|_<K&k0cp<f(i6PfvN6k7!#;wB)*L65!whql3)?t_MI+P8l
zK)*l*^`R;_Zl{9DT`G7euL4aj74&~zi;(oSF!Wms5$m<goX%Q2U$hoi#@E2GW(`#0
z*FeH;4fxI1;IHZ$Oo*<*pJ8S27As@HGi9v4rVN9<%DA{%8ISptQPs5?yl+=C{Mu^x
zTwIM7{nc14yBc?=t;SHxDj21&LcZTBW-;(8q;6Toa8|33`&$XS>y^-#s06pWN{~OU
zgpW{yySNhYeI@=>tz>j>CGNScgyoTyU~OE9#bPVL^HmXJ9~3bVrHCFUMf4p~1cwyy
zPgD_NqY6+dRe<Sp1vuSOK*|9H46avzoQML>4$C8}SRS(?<Y9SJp5d<Lp|D;aLBfn|
zSPpK*a^Q)OgU?MlNFI<w@_ISwi^ySgSQbGgve11li^*HE$T}#C>%^4j$U=-QgOM^B
ze29`kqO%M_4$HtxT?VdVGI05C1@2U?z=OCIh<0CrT#FTGXRQE_#0sd4FUQHc<#?93
z9G#xaA#b%D_M4aE!;<BYnOcTBP0PSZTL$y{%kc5sGVI>547IY$aFBZ$hT50H>CI9|
zg)Bv$-BO%3S_%o}rKp{~6utw}FnTWysR(JXZ%L#0kTfFIq;XeF8n)k-;AHg@n7>?t
z!*`e9*vTcZ*}Mc!(n}EXXECx`7Nae5F=hoW2J6yd*zaD945h`G;$MvI{Ze>bB!%&C
zDVRD+;jNhz6gNuY=>jP%{ILijb&DXKya<Uti=cC65n8t`!Y$cFkeRUvA3G&+Csz_W
zPb9&8T@vN{B@sfB%(x?o?cXFA|6T%f5+yLrTLM3<CGd5t1ir~gV1io$d|l#@$`gm$
zQ*j);A<nEP5=XL{IC|%cL;A-;9Q(Ks@hJ=O%Wole+AKt@!9vVhxe%B57owwo0ZfV)
zpeAww3|$wX*<t~#v=?A%@d5<@nGdxu^U;w#AHE^;q2n+ge@y2y^K$dyK5ssZ$HX94
zCx+=MV(9V{Lz#^jGIokF^P6IboXucp9$u8qLsslOl;4?$-jnmdqc;yLW#(bujCt_v
zo{PeQx!{VJi*3$x5pZ-a`n2W(OXlLq-#OrFn}c(2=b-)Z9PGO>2cHhj!2yjq=#iKM
zy9rSUw1^_^wJ5{Yh~lS%C}Q@D;;@=1Bo>OI^`{7;8%1E3DS{orB9Ofz0=|7B_(~#Z
zn=gWo<HD$F5Jq)|FdBk{(QPk`pQgePRTakC1;W_(QwXk&LP*aP0y|g;s~m)IX}=KO
zstGaNx)4tO7DQ3AAmp<J;r~bwT-OERa7Yl}H3V^Gkszl15rAK-09L#cK<-lk9CZ``
z?@<AyX$#=gQUNUE5<pkiY{VAMhHd0*=(*3v;*+y6r8gTLa<fs+HydvTXW`X{SxA1t
zq~5de=G-il@0x`U<yn{%nT18)__6sTKQ5&4<9Q%ITJ8BEwVxlB>ikHO;K%eSK4vWE
zL*_d^NIv6(yE7kt9OJ{8Eqv&g;e$0VAO0KQh2sZa#^>Tif)6itp6A8b9$tj0@WOB&
zFZjo2qNH&qyk5_QN$5<-+?>g*MVg65?U{JJY$n2I%!FSb4_r%ma5J8PH<P#Ff!`h;
zgsbo%YaS0ijnBZZrWsh8GXr~`%z(S&4CGnN!1OIMuuXOb0{LcOV2B%=D!K72i5oNg
zxnX0=jW$zm>{aJRjU+dW{&JzEgA1n$xiA&Qg+LE3tUtqr=AB${Tf>D7bGb0`V>+{T
zXFAU2Ovn1C)4}CD9SxS#k*qfz_Y|hXUSK*bIMZNMHx1j<r$O%_lU`@a=F@O=(=^zw
zm<C_oX)ycrj};U8kM-B$AM2?6KUNj{FKb)+UsmPyzbtc|zpM$qzpRMrKP;1=KdgC&
z|FGJY|6!#KO|b$~rdTcxQ><%RQ><Gvr&vCfldRZ)NmkXNN!GOGlPuQI1nYLn1gphi
zg0)e5f)&L(!CF-PoAos4H%rO<H|xC&vj%qb7fU?-7pwlpFIMQ5U#xQizgRo!f3ns+
z{>hR%{*xuE^pmyr`#5Xsn{k%4+c+!8V4PJoZ=5x!^#{u$>IW<5+z*yC{b1ey`<*3N
z@|_jn_njrT|2ylw^mmrc;23LJ>KLo*+88Tg^BBujV2pMA(>Ipk({HTpR^M0#Yre4#
z{{D|;Tksz%#Ops++1~&D$Ix|$WBo;O6eX2Vwz5aE$vEdUtV&VZA|zClt&)bl_sS;O
zdlu0!qf!!yD2YT%>sP4!-akIi=bZaI@B6&p`@QEr=bZbVduZ|6uVgeiLur*W^xJEO
zto3H-+431Oeg1`pvc8bhsV}rr?F%*h`Ap6opGi69GyO69OwS}fQ{AUelymbFrTTuN
zjGdpTWX&gPd;O87iawHn$4A<~=_92s{YW2rKhU;}4^)2Q1Bt4Bpo~A$Bz1q9>SL$r
zpv5#TNKaGE*C}#qnj#FIqE&mR=!@_a4NktN$JGp6dQXGf-_sYK_q6KuBw_I+xqD7h
z-IhsWUOq{O2j0=GoOdMS^p3K$-;p@$JF4uNpzY}s^x?z=rKnBN-i2}EeK=0zN#k_e
zW}L1mj#JFsTMFxVOHpxeDZ}zD-CX~chW{HQj@B_Uh#sRb^D!Ed86)){Zz$#78)A=q
zL;hxOXsPrYO8z!Vs&_|eAbga950BDTsZnD4_L`pGc}<n!uPO2HYYLQlO;^6XqJX=v
zC_ds9m6^SwUg=lF{9}Zmd4#S+jWE{E2+7EeQ22ktG}k&z?y<x4%W{|kHw@F-xtG*@
z|0Ovmz9gCBFKJr&CEfftMA46i$Tf9{EKd&6fsI3SaPbh?^bXSb>_JL#8l*NHq`75-
zq%-(}0t#NxpyvzH(tklY+%Jgt%>X4-43Nm>0jk_JKqf*1^xxETDy)A_cEQhS!@=kD
zSMoW%_}))<TKcIxwx0^E`>9N+pPK&lQGa(I&8GK}%;`R|f<C&otdBkqJ|lyoXOw^b
z8F6iYMnQbfh;6c$Vs7-3WKb`)9Oxwnsa_KK`ILs*p3=31r{re)l#JD%lIr58B;MCU
z!nr*p>d`}r`aNX0x`$4VKcR%$C-flT2`xMDgbqkOq2iy9iM``7xg|ZO3H!%nqxqPo
zmOQ2lFS=<>Q8(T4>ZVgh-6Ss5O%op;QFYTJ3XOb34wjGTfYKu}VtPb7o<5|#IS<Ls
z{UQ13Kcu2H4{7M#16ou6fXqT4P{EN0v>^Y0j{WVT?#ErEm)%9Ju3coT*F|quchTi{
zog`J?NzX$&Db~D`4k|G8h5Pik=RUp8xla#0?o+cN1N`^t!E^_WG<DEiR0oM2>!7`A
z9TdUZK|KTQw6?gNJTJD>bCY)3D%MUnzPFKjM;kRIw~>is8%<FgMXhQhdfQ4r>ssk%
zNGti9x6)z7R?=i{CDFbX;x1^Rl^0rQwQ&nch_(=ZZzju*W(rGbrhBKGX<>6SZRcsG
z)OYvjzlM8c9(j)*Sl=T(^?TI5<Q|#6yi4!O?^2-OT~auBmtM==rPRN7$m;1GQpmeQ
ztX_BM-L5<IRP+wD|F}&powung{WcA{+@|mPw~1HaHtBt8BCqBqs!wbpW``!)x2cIL
zxSMG8WFz@CHqu;lBYE34603G2rL1VAjbpcH_{J@Y2){)J*0*Sh#w~irev1lUHBeAZ
z1385>kk!!!GE;3JizN+oYPg=RRMk^vP(9r@uV<8p)ss3~J)M7fliDk9l5o&Xx@dlr
zCX{c|A-0>;`|<`Is=7fFK{x24#SIcxy}@|a8+2}@j?`-E=yymRby(I>hI$=cT2@E)
zqqTJSMlJ1&V6aUs*=yC(rIodmF<wI*w`%BjObw}>sG)OILv1`YBsg77UiYf$O;R=O
zJyT7O^r~sMU^Ts*sUnyARkSj*it0S7$Zls9trf4L(chI+@}!ck<X4i#rApG>Ur8$R
zl_bYfN$UqINUgGh41z1j+OmQIG%BcSc?C_rEhp*5a&n3*r#q+0iEnE;dGVLi_?I#|
ze7}tPGt0>QY#B`%mywTD8HxTarLMkG@-8hUjet`6ZC*-kYNeFIQA%gumXJkb3GIw8
zAw5S1^h#)#PzhOnFD9>t#gu-%m^!_S>F>T`(%Dc<K8uU#$#4-#*A-DvWD$L_D<bPn
zMKr`)L`T0A();^`bTPY-_`M40wrL?bt}i69MTIo_vVaO|3+P;A0qwCbAeGGpB*b4p
zE57E_(g*p(aXp{-F6PsQ1NpQ=F`t~5<Wt6I9`!Zk5l?&`nV-(15`#Qiye^OIe&^DY
zr@6GXB$pZka%q!gE_G?<(owElnw`E*nQhl;XXbTcK7XC=nqH?s`RlZw^*YJF&Y@)u
zIrJ?qhsI9l&`ZM{8Wzo=iMea^tM3|dRa_&r&}(FQ{2Im5HG0H%jaGfjCW}YeRGFVm
zD}1xb%{-f4Yh=^@RoT=#okfS+v*=w`7G1oMMM4L%s6{D@T$g2$>_jHLzne*wshQ;C
znMsHDWRjMACW*0S68D=7;%LgC<ySLkjavpu8)wiK*$lE-ltB@%(&<h^I{i*aCmok`
z3fP%W1JdcF%92irBWc9ckVftaY4q7Sja+x8(I4qFie^cp^{-N?yCId%C#I6TYbwJo
zQ>j=smCi0sC8N<4l5R?&WyvY@pL+^T?@pn2@(f<W(BCE#`@Lk6Oi!k5=ab28e=_AM
zC)4QiWRjS=N>1%psrlMf625$ut{k~a(;KhSQJ$;x;!6@8d6Y!sg-LWaFo{;#BvJLI
zB(e}nqLsfB>3&}#g;XVyX;dPKJ0{ZnwnQ41Or$pEM5=w2K&6cgBqva<X9BhEO`svA
z1e#r*K%&#}WO6^A0&?T2#W$XoTE)`=jHhCOcv|u+j!yT*(Tl1$+7%r~ou}hyr%@a|
zmx-fOtZ}sHZ7k*8i>2L}vBY$daWZZeOBXa_Nq0>waet4Y>7E$sDvzPch#1Orh@ph-
zF%%~qLsu8aQ0`bX)!&PzzRYO)bupU6&7<jnb~HuvMbp!tQ6$(GMUK@`)EW~-63$T+
zW*kMc@=@f>sG<7wK9bz-N76!GB*h0rlG5==>fIVimqZ!zLIh2XL{M>41i7b0kluv|
z5;TjTS<MJ~%^N}8Kf|e|FP!ewFgPxpx?RI*bWb?VDTR{|XE^D94kM55Fe)hxqv`N4
zQg#fZ%SK`JOfHO+*uyCPeJK6AA4)C-p)?f~N)Gm+^vxiYe5FE(pEZ<jjE9hUTL>-5
z4WUN=5ITE2gtYWRh*=_pdRaoKcr2JgTY||sCzy`<1=C)eU^3ASCR6cXGG_^<Gh;y%
z)DlGbIYHFz7ew<mL8Pn~L}w&|sA^FV{dpTmCT)RKkQ+!#0t3m(E|5kH0%@OgAoZ{X
z(*DT+dVN2DTnhteS!e(ip9&yTqX1f1A3(Jn0p#-0pVYej>2H}oJ&E$CLT7&p+2c>n
zD*kko+n@G+_al=&KQgWJBl9FbI(^QM0uKApb!|WD67-}0=6y+S#FviW@ul1>U;60d
zOJL(mv3kDrS<;vGviZ{ONgq<`@}a_FACismp^7s;gu8vHN7;uQxqV3R{S`W0a)ll_
zT_J7ND^&aQGEu{2dUo+Lo!fGm<Q89M>}!{(F8mV3?7l?jc`lLDz(sOPyGZ_47b!>L
zB0Zk;rlqCcwA;m-a@D<wZT144y?uec`(B{Sh8KvJ;{r83@gnC0FH$!1qJJV@G&FXe
zS_{ro!|C&MTje}G{_h-pYCJ~*zUOGK;W@_s%+Pzzl1b88x@~@zw8hR+%R5gxT<S@G
zTs^5w(~}(kdeFvJ58@2<pr0ll^nNu1L+<o5+nrXOa3?JVcRKUkjVc=4=-(ALI>IO{
zZ(Z(2+Rt3+c8V*RSi90kX;-@X$%S^;y3lHG7kanVh1!?8P}LJ>Do%2y%A?NID(Osb
zKRD5<8YeQk;6$-oooIZi6Y2Myp{lEANZ#rURZE{C!_TK_vhFk`UOG*?4Nep9iqkaR
z=SUCJ9jU?Ak!m(L(ybp3^tj1^z63asu(1OjT;o6)Bd6$V-YGJ5Iz@Ljo+7P<lXU0)
zNivN&Nna12qzti>ba46v3D=yU&)z4fTmJ;ruQ)-K&+Vx$%bq$;+S9m-J*}L#BZD?O
z3W>C%7YFS~UDS>;rfiA3#+DK;+LE}TE#2m{CELN{#CQET4V*qs*Eb%gi%iGq*aI8d
zn_xqGEN$qBtPQz*J4W$M$EYRf82#OIj0}X1QOblh%~n{G{RL}!t#3`XoYwSn(2C-7
zt%#hh=)1NR)h)In|0kAYnQBP}c9x{2Y)P8)M@hHiD4E3`rArn^sZ8c5O?|T<l{*#`
z7-~Ti`z^>+)PlM`n3M5Ma~kn8CodCo5)(A1{)r=u*zyP+yL5!KcN`&+HAiU08#7`r
zGb1i9Gm<heBLgloaveELMMa0{ljmU~-NTf;@-Qt79U`}aL-f`C5MA7Ih<H{UqPoF@
zbUgnciMSu6x0?@A-SUGJH+X=&^AC`V`vG#@a)2(aI6#R*`>CN|KfU+ZPZGNO$$@h}
zH4X10!Qy=saBd&X>hGfq-1}(B=w8Yy+e>=hd+FQuy;R1#mpsNz$*|g#Bz;V2g^4M#
z2s1FfhgR0_A*rA}w0-{`IxD`1Dra`n&pW%xFmgBLnD3@#>vz+o-zGHQVM2k4CM0NU
zLXD~>bb{H0*7g|Fn@nSd{Tfp!8j}-;F<B1nBD11hWPN@Yxoz7;(Y(8;eqtwmtldfS
z0XxZa-%ffczLPe5Gos{XBjSuTqBv_K5>+;$hJ_t;^vModp0$HIoOV#eCWgLp2Wh|B
zPNL=8iTm<);xyS#d~3JU`p?^F`<-p%7PXBEEVt35;x<xUFr<(thBTFBNC#XD>CqNL
zGT}0$mv0Qnz1o0y{SByXp8;KxG@va%^=V~?K20X+)58<`bW2O0YT5OvVMvd<O7v*_
zq8_oE=#ln1J@S~*rCZIq#1XGcCv0`8TSJ#NEn$qk*h*WAx6(83t>kRHm3Y@}rOufx
z6wtDTb|!2g5&JDPr^)Dc&Ax@6z1&PaWt(Z>%4V7}-Artfn@QonO=Q)%iPBRy(c9CT
zNMrLRisjlwzuyv_x<ND%LUh`k=&u4%3KP-hXGk-7NG0cy;cFmmU5h0A6^OYF=xY+t
zhf_c^2(-WnB=A;;=!OnChU!qRg$_+B>5#@E9g2LeO<#(%8NRJHJ=>#A`z5t$^cSP8
z@Ix))&C;S~H->DeMH+%ywD3ujo;7PyRiY-PoYJHS(xgx>O^TV=NY@%R((TBN^!C_B
z;@P;7jF)Ys*jE}fTCG9a!5Wlqu0ia|8VvtbgO~@^DWXiB#QfB$`Jg&E%B#~lCUqL=
zQ=_~hH9B`$jrQ$RBW+nVlKZPl61}P<Q=m#37gfpFRF#~iRVi&=g`W1P5LdnmnR}~H
z#U2$}A+185^U5^Yqs*`$Wt#F<CNEQE;+9dSx<5*c7+Z-13YBQ+k`m?ZQ=$uUN_2QZ
zk+$?Jl4^+}Df%js`XNQqS5Ty*ixkOcP=U%S6lgq9fg~*y$VpX!T9zu1=<5v>T(^OK
zhi@Qvn+^0!YXb#xZXl6&@^q(3o=(Nf(^?048r~vLxqR|;_Vao&ZC_6t)7O)v`+5>K
zT2E`m)|1?CIok9@jx6%!DBzMD)$Ny~8F@KUUnEC<L$ZuIa#?~<S<1JTB|$A&y2>d_
zYbRx>{EiH5Pm-YzXJjbZK!!|2WN772X&QJWO+~rV6nIgZ9QI3-*#>DcT`Wy|ho$If
ztrWRNNKurn6xE>=O{|upwVx#ESi2;ZWk?dsS%z#PNnO&Cq_ZGFwF45QRVhL3ArfSM
zOoHaL88z+P5_I5$IIU_Er@nM?y5=cP=S{@vu#7luWfCW~K`~OS79-VgG1_7)Mu$j@
z&hd&-_7_p=?G&XIIih6hElQdDMd^ovDD7J!N{yrINa5BxDvV!88_ukw2E%o<TXY?L
zo?S~x&(_kmvbDq<yq4Om*D`9{*OJ}pwWRx5gk(EKh%ZNkI4_FOs)HgVs4PMX%S33$
zxG*{05vKHHVS45!OgzTIWG*92rOd*_HY~)jBO&UK5h5c;A-ZoMM8={*G(0Cr9{qx}
zrc#jZgb9+1ogm3?5u`7Ig4Fm^fMR+C$f-nt4g?91{xJbU6d>XgAj5C`bhw+J+za{X
zsy{!qTJqCxZGO^N!%yBbeDvTUABh$4k*^;gO&{eWb8SBAU(H8{W_W4rAupXR;3aN<
zUb<<?OSU?^B*@E4FTSp!tnM}BRJ4W+1J{uBu{Fd=Ylul;4bA;nO@De;(~`2)BpAAy
zHrlPGBU@Kfu*hm^n&qLnejeIV%|lU9JT&3JL;Blzs8oW7gqe6KVVIlNG;mX9A~z|y
zaZ{HGH^c6@iFYYO9_ONfW-i*6$wfTgTr_!zi(1vWsE~_`5<jn^u!pNCxNsFk2Ckws
zn^jb`c@;eoUPb@Sa+1^lCt1{TQd%r0jX80W>Ml+SljEdmHcr|*zLHv+R}y5cq^652
z$>7LJdak*WoY$<RRo_=oL(d9wC|^O65i983sTEYYZ3X#Btssj<D`?Z3<s^G|ISFPg
zXZSqJiPvm7iE1t<)iuj$*LMzbddfk`6&&;+l7kkX<{(2O4vLZGpfNTM!ii;+*}9CD
z<}9NNKFjEb<uW=;%ZN#M8O6@AGvao3dU%taJd)T+%9EX5?PI4bRdzbb#ZFo?OKH`U
zr8HBvlwL$ErB27CbkArh-IZHP9ZQ!||Kt+-*s+8-@|TcG;1aU3T|$X^OX!*S65?lB
zLUwQ1=+-?p;>%_u?<;IHX~{<Bo7iYTgpH2;Wu=K>RyyCrO5EwJRO`)3mgcO)39Qs9
z$V#Dei^+6oF^Sz;OuthW(}34vx?{GOO0^eLj=*Bdnq5S>gNvxDVG*^bETT7Fi)itY
zMWm#&h>i&^qO>^{8XjUHsYVv^Ok-i>!&zv91q;O^3o(nZ(7C_N^kamXyzVd)YZf!5
zTwx}4Yi1hQ!c4wm%%sM`OdrRXsI--dJaU;xFOZ3GhXoV;He{j^876wLl!-1rTR`{3
z1@t<!fRO?VSo!iFj%EBqaqEBRD*g|jjQ>R__=`7A{lzUC{^E<zfAC7xA5{1FgTFWa
z!3VSRSkg3)saNJPS$7_DS?BR?=N!HdpF`2zb7;>!hmHNSxHe@Lqb+8UQ*;(H-u_1I
zg5Nmq@EbD}f1~ZUU#N5A7p}eV3s-IWg<LGZP_*Meq_F?+q{)An!~GvlKmUna(tcvD
z)lcM={E12Lf1p&^4{UM$foC@UK<WAK`04I<Yzg>|c{{#i(#r3c`0N|zB!9!(N5A1a
z@oy;d{wvy)eZ@MrugI(Q6$AgyAWQ2EMuyCww8;#1^UR>%;1|@-`hu(NzTmg@U+~q;
zXMAzvGmc*Tj6ZchBR~6R-0|cSh9rK%KJ!ngDE^7@TR!6QijNrW`4L6&Bi?2Ch>l$!
zP%7pFemeL8TSPu!-uN^omP}*3+cairPh&mPG`_w+g*?$yc;Mg^=88-q^Tc~}EPan}
z-QVL$c#rce?=kJcB<_ft#KlJ@@sZdh=1jfAz^ZrX>GclXx4y&6?C<dE(+RwtGJ!M4
zCQy0(1YZ6&j)S+xajXA0-rPBkI;+R=!SGu=k@pt4oZe#B#<v)?FoxEhW4JkX4CRlE
zp`^qZuK)N3H`TpCtIKaNa@!m1T=fQ54UMAR^-;WkdK5Qq9L4H|*9cv&@oC&^^sso1
zlG3m7&6ihL((nrX{9mEH@hd#U_X-cZ89}R(5j^WTf~lKF@FDvMviA++{>))4IXR4+
zYQyOB_a*+j{}MyvUZUvHm)Iur5<R~Sq1x>s{2M%keS3$nUStRh-w$G5%^+4>9>n$?
zgZO^+Ao7pC!2KmJFyrhC{I-=LuXus2F9vW^?f`Z;58x3Pz<IU-EbM)bHkr>+*5NtM
zYdpsx=I7Ya-H&%t`mxonANy4L@$26{6nfByrb&I6VAF?h75i}0{4>nI{|p5ao?)u>
zGn7$yhWBQB(XOKxdE<Mr&#D(QH}s;%>{C40@e~c>pW+tlr?^ewDIS^YL9hEgn3vFl
zBgcABOsNN5|2)C&t|zE*^$8Z)K0!IvCs?=e7)`n#<M-6Zn0xXu9^3dB*DrpI3s1Xo
zG^-oC&vau4bTj6z8;1uT;cVU`6!&<92X!A|(yB)|_Ua+(ls&{u?}xb3=plyjKSb`y
z2bf>?01W~j;LP3!SRnQQ9cH>v`)(KVM0Me;MHhaM@4~6MPW;x@iAz#CQTAjf?$_+Z
z2)0h_>A#PndH2!V<35h*-N*er_px`Z11+jM@T+eJ#+i2DX0Z<ZHPeob_u4TmrXB69
z+i|CII}%en>h!dsUUnNEa%sbJTiP&Z731_{v=xP_TJe-`E4G-nqKtSeUj5dB+^sE`
z65oRIwk_DH-h!^IEhzQ887K0avGQCq25oP~lLF0nVEP^!H{QcN5%<vQ=somOyoZ?!
zckyx0U0jxP7fs#o;&uJI$i#aWPfp&!;rcsh9(D&O%<td@g*zy?a2wluZlib3Z6uG|
zxXkc2j`1<Zrkb#(u?b5fo3PTV3Gb>j;ozbs{MX-ziiM4M>Ovz{>}o`&b&Y88^%l0a
z-a?I}TUdSa7V5w)>|SvT9Y-6Gr=|fr0vj;ka0434H=x+RdSrT9kJH!d@zvRS9NAHi
zlfw1*=gUnLZoP?yNjK5^)J<%}o5;56CYry!fsHqApmf*`Oh0-9g;j1~!QvZ8FY0il
zqz*%_)ZwOmb@)%Z4!h=RG3#+HUdgFNhqJY4WyHW*hWxDtuXNO4R%#7)Io04l-5Mmm
z8VvqWjW6$3qfSCKUO!old{m8zT-CVtT@_Z{s>0pTRru?86&7h#q5X;~R2Zwog&URl
zGQ1L-tt+uwqY}%OG5B=_w$xVOaA*ZGSyiBtdIg?jufUR5<v3eYj;5jISYug^>(t9J
ziM<^8UYB7`Z5gB4N*NAVm7%Xj8ESBp;rG!}#<P}UWJD=C*p#BFRw?SPEJYeGLET#=
zXc|+34)!G&i6wZ8y9B?!FGjVy#dsyL82cTIQA4*Fv-pdV=SvaBwils5dJ&em72&oW
zMfho55oY{Xh=;lhQ82d<CodG@9n(V0k}brrg#x_tyZ|qk6<}~c0j8Q4;7!#69APiO
z6>su!TYWx;N9W_9eLgC0%E#C>`S|B!9=f*W;Y?Z{o_Ei~WjpgQUpx<Y&E?|!(_E}A
z%EfcOxu|EBivlXSIJ-0#$40MXfBkjrjk%65PF~0NTdpIEz;%@RnuB}0axmmt4t9Fw
zAot!Jv|FEpEi5@G`|=tl*IYxch-;W&dksbD8s1oQ4G(<I#(y2zSeccLr_X1jifJ}7
zt<T06EZKPLWftbuW?^b%7AD(gVb<m>tmMza2VXPs^Mgzj%FRU6OPLsZFcXKAGI0ZY
zCWee<;HSn6G*8UHXHFToe|rYL63alh`E=y$Psh6QbhHggM-iKJd=2SXye1tle@R30
zt~AuWo`$NI(op_T8Y-xyp%zCP8c(F6<K0w@OG(8R_f(uWPDPSU#SoTM93D<Votr6m
zEj9(YPN!g)VG1r6OTnx2$teFk89OVJ(J4F`MeLKYe@ikZ2_>WTe^*iM=~d(`y^24A
zuHx9St2l@Z@G<0XN%*5X2|0_BP%R({t*nwTK_>}&*Ce69*F-$^C=pu<5>e7W5u+^=
zkwqsFFRw|&MPCyz_E7@L7AD|*{{(clN<dLaz#-lQ%=i|MCm+Wn7RRGNP&_Uii^oq4
z?`m9tfuC`VEA8X(Z&@7jg~g$^eH_~A#$oc>IP9B?MS+1>JW&&ix1(cG_;f4=Y>&ks
zlCgM(ITk;U#Nhc`G01T>2J_ux&}dH#{<k3pOW0%Z<hy88Y>mc0S<(3HVl-BpMPus5
zXbj_tM*o>84Cs!+sNyKh4vxY`+bDdsH453+MIrr(M6ba}ymKQGIT9lAm}?~7HHk#2
z4Uw3@&KR4Fz_7Lm<j#q}oGTHib2I{9>O^1we*|j$7mi<^g=1A!IC@8iqsf_Yl-n7O
z%jLrH7h5=f7!SkAmN5K~9frRyhatz&FqDNbG!_WM3%^3KqCXTr)`X&JTqydugyM6P
zP*hh4#Z-<^Tsj?sS2{!RUw#M%28Q5j+Yl_#4M8KZ5d69jjM=Y(@zCvH<V_F8kqg0C
zY8H(CTES?;7mP;#1))xV5USQP5YLd^g3!n`2#+ZTp$}&e7JLrG=iPz0qAU=1MFe8J
zV<3(h1)}!)Kul&2#D(_(=+qg269oZi8ytYs_5pa_FaTFd2Vf~{0PdaeN2YdvypijV
z?g9R&W$TZu`u;d1;g2^L`D5B!KMZd5L+|T;c+TGsFC6#7Ks`T9mhi)xMSj@-))yCA
zeNiRX7aaq9vDDTVf9m_9p_DIXvijn`2_LlY@WK9kAKVq}gAY&mpy_rWd@bvPp6os-
z*>?rcBwoRegI7?I{|e>}UPk$}%XrV?GTN=Zi~^&VaQNCKEI)n;qopq4mC1{Ex#%KB
zI9|jeg^Sq##T!>ud*cxgZ>-tqjY6{*Fs|_e@?XAyWm_(w>7om`xWfzEL%c9?rx$vx
z^g^4b=g}(RJUSjakAZ^cv3%qlzRNy`3byCaPlh2+pGC9sv-r~WEIMkO#bvXeSl{G{
z9zLG9S>F@+mwF=8BM<x)?SX&xdEhF34^$m?$K%=Vm}BdXGqUcu>ysPata3x;vu;?g
z<Ax>+uK2yx74t(}@r1D}YI3{cngJJNPItjS)-K2@?SjG|oKd&Znc)vQGd|;t>`cyh
zvfT;$!<=x>9w!`H<AiQ6&mjM`Gx*5<3`T7@gO=Y;Bh{bA^_Nehl>TW{Ty`1_dK}Rq
z$q_Rw9PyR7BPvWeU|59%{`7P}CuA@SL+?6;3Nfef)xlGkA#w^G#!sR_$w^dnJBgCo
zCsCH^B<kEhfk&cFV90?J*d}}eSB%@EZHYa0x!EJ?*kcp3JsNe{;ky_+j5%zF+eGbf
z`FmS@U15uN&)H(xW?L*;VvE&Jj$_x=<M_$yIIfdDj+QevSW<6;Y`!+=w8I9+xoq&n
z&@ud-a}1LlkD;#mF`WNnjm_=Wm>6Y^XAfDUov1Y)o3cWOYAf{hw!%DpD}27fiZO?l
zcr4ozZ=JG4F*Qp}{Bsm}JC0&*^ikYmb`+<?k7CwG3$(dmfoeV$$Yo@Ke|RkL$A~%3
z7MLT4n>nsWb3DXmj<G#Q@I~qo++cSEBbAQe{Hz(CZ8O7vQDzu#W`-J)W;p)&FlIL#
z#!~@@ar5rOC@y#yxhD=GXXPQ}_dbM*hKJCU>k#@5AH+Ka2XU$ULA2U*5L?&}qH6yE
ztjIoq+NTd-kLCe%UvvN^p6tib)csg&zaM>6_v7(@`*7cbeYiVmA0D>Zhfa$7FlKHq
z-tE|nb8&l7*J>|bmEViMf0?3vn<<XQnBs|}rZ^{OimCtYLBrNPxDdSu+bs5AlH4Bj
z_-{8_weH4)F}v}|(cS2<em4gFGQo;A6C95<L1`-!^w?m6k7tch<GwK#CK#iPjWO0J
z8RO2syYS0{U6_@;3oYz-p_KYAoMYaFFQ4qhu8f`7>d0X2o%nLePMqyGLWx`>JmO}A
z8C#6-<4PmkHnIcDOLm~xg&ml^eFw_(?ZB3a?PyoK9asBr$0w%SF-degp8B#48F_3}
zi`<6mEw-V8{5HfnLp;=Fh?kQMvFd~&&TKS9U^B$negpiTYk<c*4Dh8MgLxSGm_Ei-
z>!Y@xK7KaU#|klhy!cfQ_c!aIR;(V%9@9e!6+K+ftcUbe7cH*oVvwsYHf`0#e_Xn_
zb8IW-R&T|n{#)_<zODE}Vk>(8*n%tDw_s`F7CdOb1vxag;G-p5F!{x1bSc`5`z~xo
z-JP2eg&F*56YjgS30<N$VY2lme5A4oITmfg1AT-gd4$W)5qfPW{K`n9d3-=zbQ>`v
z3Q^Y@@w*CQ#UjMB{easG0HwVEId=js5&>lSqJt}%bx<N+2lefA&_z=R3)ppV`lU8%
zm1|?Hk2e0?tBtl&+W6|179M|~h2PV)FxpuQH|lCJVn8j-o7BWJw={7}q$aMl*2E=h
znmEs@iE}SD;^NYcC~##XYVY01_>PU3`db5EKGZ<zEDgNqrhy{{8n{D11MhuQN8Nks
z_#|E(Pn=Lkc2LI~E7j3yObu0TsNq7W8V(#)!&@q9Sjeh|*9KKFuS^wdd{yz$0acul
zQ^mFaRPa!*3Z~_&;M4^b)ZMLu`4TF)`nNJhK2k=mYs#4Asf=1i$~e4M8N<FSp<bsF
zvSlb?pQ{p<8Y*G5kP=>;QACe+MLe6Ti2lxsn5wUcO#+Je{<8wEYg0h$6a_4GQa~1c
z1w1aGfR8_KK)tpN*qX8djh#2(8~qLFBe((OX5?|CT^`fY<ng$xJZfx{M{W^$oc*>Q
zr#si<yUg|Y(PKUSF<OtjV(Srp$)Q8H9A3XJhwr@PP;HMKhD*!gr$4f2_DmL^6v;A<
zZ)I`tpe#Bm$l{8{vUp=i22WMVpmc}~ezKIoI~p>WvRno)zm;aZ6KS-MmBv#irSa@$
zX^iBR#_~^6IM^nIE7PUW*j);fjHGZ%ObQKWC9$kW64w?=V#*Z;A7bc=l4!^#iSI`w
zFriKYjUpv*nVkgop#&DLmcYP|;&{4E9FL}p<6#d5?-EBxNpbZ5BZhf>V)(RF4A}z3
z(BP;TMrnxQn-yY6??mzX9Z}@DDvA-#qR6>j6w^gTQFV45_C8&Q7mL@SlK(pVXub}s
z)z_iligjr5ZY^%UyB0SjuSIcJ28`CCyac0Q<Btd)=@&ttauKWu7Qy${BFOmPIiBSa
z!G|A(aeap{#$^fPVlQF5vR4=vZ4ky-R$-KVEreb5Lg*eRgwm&l@U4Lm7OfM)^Rt3z
z`b-ej$^>z3upsgr6GSc$ME*5`DECDG^|}Pm{<;9hT@t{~Ljt%&RRDJ{7r^Xy{5XG)
zAFa~(@sTG#>h9sk=Jot&#LADuulexYEj|=V<ik#9KD=ziha|;^Y)pLkVu%-O>Ui;L
z3@-*a^5O+UUi1><Mc+SbFm7NCmR7I9Cy{G#{^S}|)?b58>(*f1+-hWfz8Wp7R^z>h
z)hK^*HD>9pM&Wg<F=vhkRi5);R}~LBMDpP3Q#^QIp9lR!dC>3=H}bsT#;F=^?2P8d
zN=I(Iwv8K8CAcwtfeQ;>a$)05E_@Nsg@2v7P<|H|+Q@QY&SEZ{9$kfSdle?8tis=(
ztMK^VRXCuy3iorY!of*SJkiF9|FStT;}Rzt9O1<OHgaMG4=1|LtVHZyiJZkN@k7u`
z>^Z&?Z*N(NH6kmqYHkJA53IoZwJY#-><VOZUV(DER-n1u3QS~MfiK=JM~UX;crJ4}
zKJ#9VT4u``U2vA8(CX!w@|6SEJ>kIeQVui-<G_g%92jZ9ftw^a@D~#Y*1uYYeof18
zf9f(+JiiRN4lct#YRhnjYZ-q0!j3cD?D)5Y9l68UQRyT*?l)vdKS_41XJN<xMwcSp
zU5XJIOYyDuQq(=N6pOW%q9ET=jQhC+x%-x2YV{J7k6nUo&P&kFWC^ZRSb}#smY~-(
z8zU#jhOC8bI1t2!Rd#F`ug`{;B-qfIg$*6vu;Q6}tav_)6~iyHV*XK9>_S%jA;gL@
z^NZ1DXfftBEXJAS#i)0FF=ifGjLe#g@igyZeEo9~W34a3k=jLgGGP(UyD!3|eTz_A
zZ4r)hFJk0zSa5GI3$CeVVaz8BR=KiZxG4*sQDMPDTr9ZbD>LdnWk&rfW;BjvMoU*_
zJZH*`$tuj)%*BjfzcQg*FB6`sX2PmCCS-PJ!o&NR@TM9Qu3gQ90#ggXR=fZ#jtj7I
z!ve^C`Um^U|3RelKX|VE50t+Bg{w7xVWsC^NZj}r<bVHxo`ydV==}$F&>s+9n1_G&
z=3&Nf9=__&1M`x35bc@+lkhnRH=ctRoO7VwI}2F}vmkJ27IFk;L1*|kyvh6xSC9P$
z3(4Q0JoyWFihlv?nP0%B{0n%${|6d3{)6LQ|3NnX2Ok%H!nW3*P!;qO<cxko<%*wR
z`1A*SNcaI+hkt;L@DETM{SG|2-+|@icVOD^9hT301DV=yV0!)=gyJ{oVfqHr?O!1*
z^eg-|{tB15zrxCa87NDefg{#4z$-Naqf=j?q5KPEyMKWstuK)J_cN5We1^xtpW)xG
z&w$*YA#~sqjHiDBW1COVF7pX?e)<Tnt3QI@`H!Hs=_7nw^bziLeSq}n4-j<V16&sR
z0D*6&A+=x{Zl9Tk&uY`4FgFF>_oiSVXbQF(PeB9E6l@-P56`mSgXf9&Af@;o#(zvg
zRpTT?_)UW6j!8JZY7$%r-a$a-JIJ$p2Ynmf!Kxn<aHMeps{JN_-)I6NxF%rb;5cMv
zj{}|@hxbb3aP8MyIC=LiQ1Dw2-TfB0_}&8N>oE{27y}LGF|g1agV=>P(0Bh0NX5JX
z|HE(Ki|89TH8lz|RihAiVH9NaMqz+s6cYPhgLTGh(6)aK>y%yt&+k{Ty7?7IguQ~z
z`(D8*;a8A7F#;3iBcOSH1d_Inz#@(jxYRccteL}*dSVz*Wf(rry@aB+m*5`t5_TSb
z3CiLxLHy$oh~F3jC7&VKVKf9TtA`->)gZhp90U#bL5QV6m|HRkF1;_{NBRp0Jn;e~
zRA0d3KLZeSe*kvI4S>ke0r(>`0Pnv&hc~yM!(_;FnA`Up1lK)>ZPWeWTh|YrKK&rP
zs~;}$^}~m;KCmzEgU?=l;BU|eQe1uTZ1@>O6+VN59?w92%QIN9{2BZi=!IX`dtt%3
z7gl30Y+Tw4wtY__EBh%-o_-3b{S-1-p8`j34+LfQzzWA6xTe_yx{G_@OV1N1%6J0K
z4o^T=^9hJ8egZ3=J_feT$H3wE7(}!l1F${@``&KI$m)hSr@KK#ryHV{bi=Q{M{qjl
z5qx%j1Q+QM@NqnXJ1-uBYyLw}@puS-w?2e^&WCVo<N=hFJb*&42T;B30d%f;0Ml=~
zfWNv6_W5){s!11o67GUsA3EV?LnkPObVAL+PSBI;gxBBiLvYJ|fY|%+$Lc<GDc*;i
zza0?#r~}TYb%3Ws2VB<ffcT{yP&?2LZ}Qtg@N7F+8MH&?>ULN$-UerD+Tep<8=T(T
z2D4&q5cjneHa54yyO>tUv2Fzi<yP3l)Cy~RT3}gr3oyI1z~U_}z_Y3a6i1ukKxH!o
z`!qxQo@U?_YX-Zo_n@Qs9;n6LgHoG&psaQe?k&0p7JYYNQQlp+;dvK44e!EczPqsI
z{T=wP{tmniy#vEX?!c)09hmuZ8#o@{2Gy+FVC!-la<<-v58St5%XkxH*EPZN;3md8
zZvwXUO^`6(2nyYe(3{x^elCr$Nw*PLS2x1I#4V`1c?&W_Z$X?n0}8hwW1#_Ro;E=L
z^#))$+W<P-8{m>)13daz57Kw*Aw0Go=8xCI*^Tw^cWFIDzq|<>%5OrS&rJy4cM}Yx
zZvyA+4H$oT1KKigK!xiK$kV?8`FuB^db$p}Zr8zwm^$FMt%E(9br8R-4&IE^f=*Q}
zWCqm2io>-KEME)D7iu8Aw+1xxYhc8y2BM5>z(}kHxPDf{SZ6idNw0=Hmuk4GUkwTT
z)sX(N3M%eZ!J~vK_;IodWT*=4xT>IRq7s;HRf1(yCET~E1RX|q@OlnLhw#w~=&P*&
zx6ld@vaEo|sud8iqyi2MmxF9oIj{wl!<QrFFs4)vql?So{a_i)mzRM+KpAW`D+3S3
zGN@Wq2D2|pVP|<M6#AC}r&%fZDwe|EMWqlhSORM*N}w{J1P&f4VeI)O(9Bu_K`)Ep
zKvgj)1s4O)(PCgxD~9={#qjS{5iGAO0?F_qFg#WS?wUnVyrKv`ye)){w+bO5rVu{b
z7s5d*ga<r@uw%LadhZp0-PHnMaVmf!{Q@u-DgeH3`7qL%4`o^T5PUWt9F6nAOfnz#
z&ga2_-aN1=$^$Q-JV-s12knY^Fvpq)+9SE(SDOp{;klrCJQq@Qa$y;FE(A_phh@#z
zAtm`bsJdK-{%zO6Z{2m!{*?oBk8_|cKL?U8=fK&6Ibf-n1AEwVVArc_u=mC_u!*_`
z-uBlZbJI0=$a@V~zGQ>m{cMQL%7!=RvSIU{Y$%Y;27cyjh#$;i*l`vVgk{0z<5}<q
zvLJGG7U+J;1m=!Rc#xS1>E|-x{GLp(l*<HTmP{~wnE^X$GvGjE1~}ShK-lICsNv6m
ziLdD(_AnjnbJL;jQaY?WlnyS+=`hTm4yJF@pr<Jf4kx9-v~wB+?nnbUi8L7alL}GK
zQ(<>yDhPz7!l&b@@PJaGk}nmqzotOS!xTu%OM!wbDbQq=0z+ykz_Kz0)ZQn<nU-Xz
zN>7G=XOm&SX)@HxCxZxEGDMGFg=LLbAv*CYh`3yZTBED5U+OCST}Xn;p(Hq6mjo&?
zNwDCM1kVkU;D%@tWX~r;{PRSJu1bW2h(yRakq8aCi7+UV2rRP+px&1N&J_tz8<qep
z_6cCNH31rg6F~fTJS04e2hNIkh!2YgQTuqfu{9nJh{VI+-*Hgh7Y8RQ<3KJV4t|`7
zgHF9T$Xgc&;q$R@VIUUVYGT1XIu<TD#zOSASSXf=g~tmqF#j?JRO(~EB_RfGy2QW|
z;~21(i-8u_7*H6ChU`1hAe<Hr*Um+Q(*9^@SB?hT716MKItrRPqQLWd6lnTH0rSx)
z=+lmZO5P|)_#O$qJ&|y(ED}7!BH`kRNQlsngj}&mX#W=hpI=6RXhQ^;Cq+P}djw4H
ziGWRt5s=0a0Zdcj;M5Tg<JZICxNkU2TZY303<qw(aH#ne1{VEcu(Bo$I%C2h+$jtW
z?g|6B^<lueGz_LDLg9I9C_KCt3Y}L%;qlQ>7=}>zE)WXbze7O#c?g`U4S{QMA@If}
z1lI2k0dIv6=;H{1jnl!9-5Ctr1;G#z7z~`Y!H}vO3<_ew(76x<r(XpD|Lq`nlokXb
z7lL4ySr7<l1;J<DAb9vQ5GwluA)_V`;^G1!#x)R<_5?z%QXt$~83->v1;D>Y0kEMo
z0BphoAlo4T-t7ng4Y>e_SQ-EyCjDXWeSc`q_Xn*Yf4FJq51S19p<B`)Y!~~(qH#Yc
zZuJAR>wd7x-w&SH_(77cAJ~fffewow@Q?Yzzh+<fc+D5ae0^c`m@mBB>I*-_d|?@j
zFUXAfz^)b_@XGOlaz7vVVB-VIdOmPT!Uvu%@_{3rS3o@U3e4`f0;9{Wz`(=HFcNVY
zz8hZ#e$LBa+;a(HV=uwP-b=83^(DB~e-ZHNMd&_!5u5}s!rEbP7|HO4QY&u=6Z3|1
zZ!dsH-UaYEaRJigE<nczFJLP7f*meia81<<mi{~sS8kpM)(ht$70<(_g>&$=`5e>)
zoP&UE=fHN^IoRKQ7WT!Qg=729!e!pGP(0`f6X~9yWbFwd5}q*g&I9a=J>bI`54fV@
z0pdU1p|9Q@5-+-g-4=JyU+fMloo=8I;RafJ++go&H}HPp3f1YZ@Y~uIjHO(mYRUy9
z%3UDW%>~poU7&Z~8Lr%O1_*QpRwHM4wbB{dpE*HevJ>1r>IA*wPVi&$3`mxpf#Ysx
zpi=V;aQr<Do-L>0Q}Ai<Fg^|JJg1@Tg(FyHI>I_zNBAt~2oJwFz>PWwsPuM#`mGM|
zc!>ji?>+_638&!1kyDI);S{W%JPAH!Ct=S0B>3r^WbBzI;r9I#;1YELR1TZ~CgBq>
zGG-5*MfT9_!eC8%82M)hOdWQh5@`o6`|aSikR9;9wFTc|Tlnp23zxKQVHLA2RCOK)
z>zLypa`-sBUw0guCvBjh!UodL*+9l-8z@_10}r1ZgI`yVfwJ{6I464y9?e*TQiC;Q
z`C5aBku?-?TZ8UPE10@&1(~O<z*@r!l>b@6%KMfu8*K^S4qL)+F-utf;V3B79tDd_
zM<LnpD2#C)1?@o#$jq^TRi`Z=M#BO`7R;f((;Teh%z@X!90sM#q3FvI2yQq6ZvIEW
z!T1Qc@ErmFH)e3X#0;K#n!)ldX0U&m85H#$hUHm@;o_;oFspVL{Qn&S!LCDaH~tW~
zS{?#rxkK>h`$6cxa}XLs4?_8V2G$*frs)GPP<H?pd=7y6t^;tE?*O!q?FX^){SfB0
zAD9gGga4}iz%#rLDhu|3nfpHA+`JEZm+ga`=X>Ew&R#g>v=^*(_JS?jUhwEOh1g6}
zXml`zZyQZv<04ZCda?)JrtJaalY5{|eGhD7-U9>OyTK!MH;A0r4bRkeLlV<&u<JH~
zt*Iuk{)7pvQ#S!IW)o0)Yz#(e#^8F=81giX;T?-HsP*iE$c$a^-C-BlYwdyw)?MKG
zY$vc^+X-b(JHZlng3z*^Ffm{Rjd@0p;cf&GTa6%?(+HwQc0f+a4ruY(0iU<+02$sL
zaC&?@+^*gZLcZG}aQAkY7ugP%K5he!#%+)vx($pEZv!ToZE*LeA%wLV!m)TmFt9NM
z4HZLBVKM~mCk9}gX#i)=7(fadz*7zbSo2aJ?27fF*-IbfcIZO}zdne(*Mp*)dayNE
z4<-)kL87!CnEs~=0v)>WDNz@??R23*Ll-Jpb)lwzE41Wog%QuKu-I@bX!33a&v#qk
z?u{+5CU^^+JG2GHWwyZ4-<uge;bw48*$kWxo8hL;W^m-#4C{wC!Ozl7@aWPeC^y*z
z>FYK@(hNabGeKz_LFaLT8Fd0lHiF{=2<3$ci!UJ9??iYejKBzoq314ubu7TV4M2`M
zz<xFWt`|BmRHOst-Z~7wR0q7)>45WBZE$VXhRccCkaR*DZfR@76o)oQywZYGm0EDi
zPYZYtXu)L}E%-XC3C@o+;diDcM7nB%g1#oa;MIhvsg1C^X(I?lZ-np1Ho|jtMhmkg
z8{zhl1~ivxK#z|GOz+bGP8ki@GN%p~yVapJTOHPTsDs-!br=#<2jkCb@UU48_9v>r
z`;%%AjB22=N)6t<RfW8ps^A>13i?*6AgQJboJ&-J^`#21Rj2^BzY545QUN1*6*#+~
z3}w%h;Y)!s;6-JK-=hpaC6&QuRtbi>mEdTO5=@^}0>7O~ASJ2<y+0HotV@yc{uM#c
zT@k)*Q-pqDMQHh|0Jl06;C7k<JaAEfF#`o)6;c4znGN93z5z;8H^8j(2H0b;0jdQz
zz}gvkNNkq}-ZXj0aghftLwOh!l81n=>p|!KdYDUJ5AAO2A$9wD@LIbbj{lH@Ll5NO
zV744sos|Q(U2+g3E(i6$WnucUEXd@^f|Iu_+%=U2Az4}Q{U-xo`((heL<VMjW#GzT
z8Q@ovfksvtI5jK{Vl~o?7)u%|tfe7PQyT17N`vWy6c{#1fkC_!m^etmv8_^YnO_R>
zzDUAAha~W1N`jfEBoytEghi5)aAIBp`g<k7xL5+7_)37enFM@QmVnr$5&)y(@a3jB
zltqg(av<WcZL>H?@QK6HFJkbkLkwmz#o+r{F<{y)27EGNptT^%SeK%3wL%p7gGE8a
zS`?hMMB(8oQBa;*2U*SQfIoE|q`9pF*`4d)j>I~!{IeF8_OFG;vbAtNXf15ES_`YR
z*246vweWaK1e#hzpe9WOYCS~Yj<E>zN{hhEf-vw63d8nlVektVh7Ma{SiMOY9QlM9
zd%X~Bd>{nH*M&glk`R<16oO64LhyoJ2)y44g6wTUc$FjwnJ$8G!blKwBn5%@p8(7c
z2*7le0E~qTz_^_NeAz4jiv$Hg><2$=f6NbFh5S(C#}EHm@H27-{E*DW55GR}fmH_|
zJk92VUEX}qbAS&lmHFW3GCoM0;ALEF#0&p(bl%}yes3JN_a2c|W(dhB_x*gH6NQqM
zG`<-XDlIfsT4ayxJ(J8tNQBIctgIFh(V``3sr)|I?{i)6>ptiC{PSGrJkNQ~eXeuf
zuP>=fsN&O0sN-9fQ0rDMp_Xthp}vnxQscFf)L^0{_2{@HHDo18y;>nj{bG}(mX1kK
z8}3O^-tiJtxt9d>W3vP^N0p$`StY1HFT|<+)#B9CIB{yLmpJugvpD6ZCQkig6{nI%
z#VF%@V$^KB7<KcQ80BdtMxnYGCCnj4eS9fO4b_TL50XTw`zJ-I23t|;;Yv~J1-B^m
zb5ewoZxo>{(?yu;Wg=AbHW7+%wFu=XC_+`f7pA1!gsFh*!ql%z!j!k8F!g7xFcmH#
zOexO_Q7t_})X^d#N+DQ?dhRAfr5g)T2jzt*`nMn@^Hh*xxg$t@juxcecrdk@Szf`s
z#>xEel>kLI2v7&p1*r6M0@Sk|0+hUg0ChxEfNJ{0Pc84}r-BRlsUJc7l-E9f>Wc|K
zbIjsr&QJKL++jXyQ#Btom%vBmpX8(5?D#14ReaRE03X#g%}W(_@KVuvywv3YUdr2*
zDPvyhk^(Ok^@oQl80MiKR`XDEi9D3*X&!2iJr8w#H4pVsn1?d?#7$*%b5pE0xhaoO
zZt9ggH?_x{o0?MLrcSVPQ#`M@sJuol$|{SCTDZtXl{;}!$0;t#NQR5z{>4eXe9Flj
z=Q*kT1WqdH6eksB&q+n=aZ)LwoK(>l4yxr52Q^i~K?z23P{f0SI%CB_-CN1QT#MtN
zwokKDr4QLD(L#3Wd<Z-B(Vd-g-^fnAS7WD6a<NmKZ`i1;RyN8cmyMbUV52hju~9os
z*{G!|Y}6z>8&x^UN=3D>Qpa;xDMx=+%G!;U+PHz0vQTEF?AckVeUmKI#TFJSGlzw0
z_h+Ggy0K8JO<AZDDlAkj2MZ<Dxrpsyix_OVh&u%qaZS%ZRE_+HDz^VnPvjqN>Hmut
zWB+1}{a@sg{EMzn{$NkiAKbL-4-Uxu!J{u0P%?7?d-g0~g5m-mo&1gVxxdlE{WscZ
z{6@E#Ul@Gr7uI<F!au8jq0P6SSbFy-E<5)VGpV1b{qF~MHU7Y}{y)&b{0A=b{J`g3
z-?1g~JJ#8K#|IMMapdVdvZl@Bn%(p0qd1Q}Q{Qk^!8g2i<Qpzu^$knE&Y|_)IsAQY
z4)4-)=*v2XyIQ}ZN$6KJvi^!h^efswp2agMvsmani_?m;h;P1NO3@eO^7?{T^uM6s
z&(D}&_Ze;dJ|ma;XYA(tjMpB0LjU+rcxo3@3e584N4!?>5xYG;BA5P0wEg)3^X`8@
z0sjx^yXgb63w^-&!5K72nZZ}PXD~};1`kh9<A&SQxYBzX6&cg0$~KKg9q(~h<a-R+
z_8!}0-lN#WJ3N~I4u?G6p{2n)?EC!|-J0GaN61^eWAheINWMk#;tfjYyg`=3Z}7YB
z8~pv_H3~GmMy;UN=xF^KlO<l`<j52<a;7ln@DxhxO<~%vNz`hZ#IBG@JhNpIS4&Ug
zua~dzQT{8e@Op*0YnfV{z>4+>d=xc-KX*>xs^t@S>fJcD-yX*m=f*L?WE@5L#xZT+
zCF-TU#HVgAF-+?vZk``Q>H0DJ7Bq&VwqrOXJ%-OGMscQS6!}k$q7glcC%Hzk_R$Lz
zO?iQ*U0>jvl`nAr{0Pq0k6>8H2(I2bg0E#qF#q*1dY2BP{kdVJHw>eJ;4s3|=V+Pz
z91kCPj!A~kv48OyN_Rd(kN9W!X!kQD8qct1?kSqqKgE%dr+C@^De5Xb#ZT{^U`@pn
zjJxy%&sjXdqY_NLe2nLc9%J0;$5><h7(ekpM%|}Fc=`Gej(7~ADGXr^#}LwegV>Wc
zh=<(=QCxozAO0J_h|U3YN*q9N9YAHB0hIaOj|y%5xGJ_Et#|k18O?qy`QC?LoBMD>
zR3BzL_94G|A71(P2)UXbVbaw{XyEV&$J8ES!dx%@*Vv2dS9_7up%*`?_2SfA558^e
z!S7dlP|UFhQN0Jf=DV@1xf>Uwy3xV88=Ew{(eP&%R<?HG`nWC}+1rJFI$fy$rxRx%
zc4A#pC&umX#54Mx=+4@SZjT<~(Ts=acjO`Fz(efkeu(@}I&kZa4$M8#fgC0s=q22N
zZ%5nlNO3zZ__Sk^MLQZxx8wYqHoRNehW-I<=w#o9CQ5CnKii6{8(WczYDK%<t$0$q
z6|?_5z>%&8sF?NuPab}N{qO)O-UnFrtOfN8TCnL%3p#FWK~||2ta#Im$L}^H71WHP
zJDPD$wHYVon{cGH2`3VoaBhDSimYiu;A%q8CyiK|*NA_-8*%%_M!YA*BpbhLz})Hv
z)DCUH#$64#N3#L>7V5FFs~)eU*W(tCdekKKC@fr$EaUg_&+YrjapgWr+uz5vD)-TK
zz7A8`>To2f4mA$d;T5dIxBPXubF>x*OKQ=<w-!Iz)nd4EEgH_(;B;FJ-b}8+Gly%?
zmQjOxLN&O2{2t1b-@|1A_i)vYduXYC4^RBA#@y~|oXo67t>e|`x1ky*B&*TtT@^Oh
zRH5nBD(v4=g@^R2P=K=vYoFf5(?xd?FWyDIEqC#?(p~JHuf+O}N~}$*#1_v=d}30G
z-y|wg{@oq4tG$EKk#}&!<qobkyo0ekcktgx1)eUgz#msCFknXo%4t?$!{2iB=r2dL
z+;W^gTaNdv$}x6%IeLF9!~Gp)xF@{~_Z=(4Q>JAYC0&M<A8zBD#@ncva2wqZ-NtJA
zHcE)y#`AAV@k3219*io*&u*pYXH<&vf~ELiq6EF~mY{xk3I5(wg53rsSjby~(POvp
zO2sX_9C8bToNr;W-Yu-;zJ)Jd6r)giF>Ven#u%q!oLpUu>$r<C@5N1&D!++w!8dWK
z^Gz($yNPBzH*sdP2-7Nxa7Snn%I+z`8G|Bh<txI%@j^_#TZl0cg_z)4h&e`uSSwVB
zV^amlUt56dV+t_9y#V{@0#uVIz~Je8{Mwk0?n(Lh)*~N}o8}{@Y(D19=Al(b9xi6)
zVcqFG^tZ~xZOVD5`#Tqx^yea1K`ydf&P9$LxhSTciz_*D(PrcZo-e<F<)JrlZto2w
zMmI1{_y&G`lY@@+IoO+!gO(mSIAEHCZgM&JZ|*wgbX~`-IoFZ@{B`WzdL7d=uj2`}
z>u5imjifvq^~17J&ovt<%tjlrY&<f34P%<GVN>cgTsUzJ*I8b}tIF5#^+Fb!4`pFl
zaTcltW?`;#7V50Y!bYJibb6bKY>k;%o}7tCj%T9I=1g2r%EbPK3@jVUz_eQ#7#Wm-
z;d?SL)+ht7i)LWmbUKc=q@!R)I+}W?W1ww1K2lFdWwvzm9ZAEtchYcYWE%Fnr{Ok}
zG@Ou0!!zGfQK~l;8}n1~q+cqoa!kc}gH(JVl!_VeQt)zf3LZ&M!M)xoxMxcWx@)H3
zS&kHp8%xHj>SUaXO-5OdWab!<jJb-*_;Vo%w>?S1d$*HNJv<4o?N35Q<0LGWNkZfK
zL>zsTi2g;1s2`Y!ANC|-2`1t>$wajIl7L!W2`HYIfb4z=_{T8;|E)<tKCuK`_Awsm
zj(FUc6OZwi;<0B}JPI4eqk~91md?bXV0#>%x*ms97vs=*R~)`Hh{MAoarkd07Sq~e
z(Ih7pzg&vN0*6>Uv?dny#bS}`Qw+X(7=!J(F<9vrgT>A<coSl<LNW#)%tqr_Pc*U?
zMWc35G`hM*<24eEZ)Bp;@JAG09gM<HrBV1_L=<)%j6!p>DC|^>!kzyj@#AnLhF3+R
zUVJ3JIu?m(){*F>8HsA#k@#!!Dn4$!iuW?EVxG@cOy7AGQw^?Sw&+zX`xJo>yCQJ9
zAOa<VBGB9|0{x65@PT{;iY$cV{%7IXTp5n)ap9PFEF1-G!ZBiHI7;w_<Bd0ANIwX}
zm)T($dN~Xk&SCfi!>~p=41>OhqQg)qt}PEmx#&>j^9)56t596j2t_WQP?UTVg4z#4
z(E54^di#c8{_YSQXM~`VYzQ9x6^!*ygK_EIV7w3?jBif_qoZ9gK3&C(Lc#d%Ll9o<
z3PPEpAZ!Q;LJ#*KR5lO736&tsXAeT}SAl5V6o^{a0#W>OAhPWa#NQ02WSQlK02CVz
zK+SsrxH&lhPo4?D8#@AU)Gz=QBm>a>n?F_$`lD!tKc0y7$C2ayXl3V*t-AhbF5-`U
zpRb_nqbvBQ<O*g+UcpVCSMay>6}+Q;1-%8Ypz%jP6zlQB55<1i6XAz<kNRQ0l^<Ty
z^22NaKP>v-i?!XpI8^M5^AWzN;Ngq5*1i~`?Ta0PzPS9wWo%5pjK`cWGv^zZadGSt
zj%8iK?!A|oeSHa^y}F3=ITulB|3%!bb`gu-UO>*m3wZ4C1)N@a0Z)BAkAkJ=@$Rwn
z=&5%e*L?Fq!Mi><cg6?bgAaaMIEQTY=TOb}9PV0w4%0Z!;m5YKXcKxC>n+bBEp!&U
z`_ACuxHBlV;|vZ;pTW!#Z#<XjjczX9=%nI}``(_$^F^mI+v7Ao(LIea-%g=N)hT@B
zbBgKmdkPy_PoZt=N&Fac5>u^C;tr9Ms5o>27m`lkl;a6}vFrp+P9Ddf`NvW2=y9~w
zJ&rNoj^V57V`y^m7?zqGLoKdjSl!8VdXDnK1$!^7koLlJqn>DU-4pfPJyAu=6IEwD
z(D1GY+MoA8Ut<rf<@7+#uA}H2eH0&TKZ+oG6z`88LEF3|_~pnE%vyZ}oqrrgjr)g@
z!~ZaT+;kYHgbw5M&>{SndI*=h974MlhcNo%K^(0(h~RS&bBqt7EcZdo?s3O8@$UHC
z!5zaC-O=LR0bEjg0B27hz!Am)9ArO$&pY?y$C&*nylX$MTfQGJzTJlpOZK6%_dX0~
zo?vF>+=qePZYUM+hE<MkxL?@~6=z&=rrZ@<d|a_`y(?z$xnkCU3znw3V7IFa{?K$m
z-MPJZrgkrO`|m{^tG$>hu@~h=_h3Qp9yIaXgYVYt!HmV-xVK|B>c;FwA&1@gTWL4W
z%{b%lJI*L{$r*JwI^$juXUur+gzv69q47~C%rkVtrHhW3+Tn=mv5xq_(GfjV9Z}`8
z1HP+vz?v%#m}2FCflD0l^7t+cD%ypqr*>f-*@ZJayKu$ee|S9OKkRV-54H6E!^}TB
zQNDdA7RKzv^-eqSz1mL9nB9T9>vo`4@DAkOx&yz+?Z7v0x8wWr?fC2Bc3fhy9gQWn
z<C&M+u(oI$3V3hB!zSDCvA{O8erAsYIrg~E%O2S&do1O$$Abe~Q73aNvL4=w6NX!{
zmvt+4^w{B}6g!;UZ-?x9cBuPr3m)#=f@O(Ykkf4o9$2*n2N!J7y2BQS;%)Jui!Ji#
z*ka{x8}w?oLBn_(<Z-dVciJ{M^xGPH+O2Ug-Wp%KSR=<OYt;Q?g$Ey6;jKg~{O4wc
zPOGi3?Vlym-ImyxVu@SaE%AeaB_^<0;^w~1D3G}shmUN=O4y9)+?z4#u?0ruSYX<5
z3%s+=0-p<7Am58kxT$Cp#-81T@60!$rQ{~8ncRqm<r}ficO!1G-H2c0H)8q+bKF*I
zj!VPLar!@VY+qrHx4)ZVZmSvQ#hYP;n;G`#nc*C(8LIZ1qT4l7yyazz?CVT%zmO>o
zj&4BfTN`lj!Uo)LwE@}XHsGz9_2^c+9#zBF<DA2K?9p706~9d|x6=f3QcdvIVH0dd
z6P)BTL6H$-w76-Ek>`!^rKK@aa>khRVI4}{U&qWn)}iw5by%ab4xJYX3iJ_dyGAhL
zIKkcP2{Ob9s!q`;Q%R$25REH#(zs5YM%P~qjOk=xcNzo5JQ%o-FtACOftnK(W|mW^
z5I|w!b_$JGQ26R6Vss~>MLMF8C*s&T#2Qh=>`B1*O2F7)z_eX}w^su8{WZdcM@Fc3
z-3U*eGQuWvBa~TcgqLR4;>Y`I@nG~?{N%b8FB`5!S)R4nGQ0-8Z>>QC-!=Gm>lz$T
zU4!L64Kbt35aTipG5)wAUNbesDk(!8o;E<9dIL0xF~Gom1~|0V0Co5cnDY^RWG~mp
zOM&{xu}dElwDfT`i#|RZ)WfiRJ=}O+4~1>@@RgDtHhy1?g`KN0BXc#TpID7~=Bu$*
zW;G6f(nXFIU4$fEJa<GFAFR_w83|qVdAAB**R4Xwm{s^<|0+C)tMH%DD$JVHLCb0#
zWV@<^EiO73wMGXI@ay2lac$JE)JDxPZCtrW8`m0WqYbY%dW~r@=f7Gw5Tb?RyR~qS
zz7|&UXyKBvmFQQo5`ToO#522BBAdZVOy*sQMlUsS@{T4ZhiT%@y_%@FMib}xHF0P{
z1MgR9VA)j-EOpbsD$u}AVGVryS{;S!)X^kX9WNeK#|K0mB_-AI*vtxi(zF82lUHD)
z=L$44TY*EeE70Ss8j3tr!}=^W^!8R`uA!(Qhl&~w|5nA?epSpXP{p*%s+hV%6?3#z
z@h*od4vnbbpK=w{2~)wtE-HB2NCjC$RM6qAGS=5CqgJ9a-tbUHH8W)_ms7?~-<0rO
zmlDS2D53dzCFHPI!fs6^%w$tSpJ7GZTds&(!W40{t0LN<B07mF;;HH7nAp4=n^TwL
zj}yyrjpcH@th^it7M9_vp=Fp@ybQSlm!YroGUQmZ3}c0sq2^l!>}pUz?_>pBd0YYC
zTPR?ek^=fK$m5<Nc{IHxkNQFKsI^BPb&TW@MdfkJv>bZ1$YFB29Cn?SLvC9+v{skH
zbXGZ>AC|?PcVw~Usw{%LELI!KqKS+w4$jG-SC0%z<jY`-uMD1dkU`o&26=>JaP;j`
ztZiC~IcZBV{`69ev|Wm^8cQ*YeJS1@mBuGk(zqBSje19=(bHTSE0#+$=Rs2F@K_3K
zOQldPObS!?Nuks_Da>3dg*xAsV0-TpJY2X0mjo=quH8#86qeu?i6yA`SrQi>O5)fJ
zN$k8Vi46{tSZ^qaZ6cERbVdSa+ayrpx&#_ul)%&fN#GrQ3H&1@f!5RFnBOXneA(jY
zeL);&c8cR6eR2FEB#yq*Vz{(T3~RH+@W4eel-VVQPYuK{LqrUZeh@{|4pCISA&SDj
zqR8eXivQM%BD;hrihdD6^==W|R3L)K0z@!-uL$#7EP@J4Mey*vFgElHqkM@l`iBYQ
z*8{?Mc!My`EEC4le}s_xxe#8j6hiY@A)NCR!U9VnJfJRw+MGi8cR~;!*9+p^G(o&}
zRuE&i3*uEhL5vX=#EcIDSpHA|`|<?vyT1Ucx(J{%5x@*t0eth5AJ;zN$CwI!{1(lR
zdp!AZ(2^f*HTZFeiyvL4`0z&)A0}q;A=8`_KRWPXt`Q#|Si*;^zVRZ<051-g@?zap
zUd%tji>Vg8n7D!&IhplI9;|EP!RJ{#xOkBVwVilyAM#+1G!IUH=SF<Yjj<Kn_%((b
z9glHiw+%O%X>(&cKR4P<bKztM7hcTg!sS6+*tL%fFKysLP~yVBEL`~TB`0RobK<!S
zPTYNg6D=J%(HJ?AUdoB<e{!JhQx4pJmjnG1II!>(2R^muKtX*Dv=rmOm|1ol?_+0f
zC1c0LD0cko$&N>D*l|*u9bE<4@%;xjJloBN!o_S@63&L(kFX(!B^%aivY`(j8=6eB
zqDUtzzAa?Mwoq2Qb%+(yEm$#5gB4?WSuy233l=<N!G=N>91CSZj>9adx0wYGYO-J+
z9}7Nvya=Zf7h&1XMHrS^gxqKU;Bv}8IOOmT++_d3(HDOqFyk-W+Wi+^FZ&DH6MrD!
z`X88a`vWejf8gz#1-MYK0E&kf;PJ`@NdEX6j+Fie>*K#+o&Ikyp8o|~s(!(-bH5;q
z`URtZf5OVfpAd58Cww#g30~Yk;rGKI5FhaaXxkq!FZu)OhQ32w(swxL@Ettmzr%^~
zc?iszhx`Nc@JwSKq(6QG_uJo~_2f6uTl)=4e$N5a&%vPI99%G)0|VYUSm^!={n20H
z?zXQ`B>fd`y_kiDYqK!EZx)0#X2JU77f3Dp0^d)60T=uN!~Z^mYs+W&75o{ptUiOi
z=x12+<P*G0{RAC*K0%erC#Zb?5t>Rq!i$q1ffGIg{qF<#w|szSAs>KY^8rf4KftQz
zGf<y715W#9fJbu%nm<oNc;z&>o}Y$ICey&+o(9tM9&F>@gXgaIkiP6aJbV2Pl#1Vh
z&xv<1Ve}4mEWU;3t#9FQ#9QFAe+$)1-@>W!H$d{=z!J|l@YmoCd|h}A^Ube;E9^C>
z+P#LY(y!s_%PDx0HwD_BQxI!71)P5;A?U#*NJdOTx&0(K%TB_Q$yYF1^a{#Pyn+OL
z1wm}DAh2@+Vq+)Zmcs-*QJMgOnQ_=sF%H+yj{}?OI2;oghnb<5a4O>^@E>>yw{>2E
z>yI%|Y8-<vA!E>GHwJfP#^C1UD3lhDLeuF{7$>73$TJF?`d>hF>I-<|_5v)lUqH?G
z5in{Tfd`=@;A}qv9P%Sj{bm?^ZV!Wn&oHQ&4ugo$FmOM64g%MogTm40K-N5mBP`D$
zxAPf%jDH5}_dJ6e8qYxd+f#_He+n|8Pod2IDQs7G3f%9XKwHHVh`sa#j#xYaJBcS?
z_VO{97d?h;ryqlt@ncBhe+=DEhCt~05IB1b!9AlPP~sSZ<VS-bn>GkH4-CR4y+Qc;
zcK`|>4uD6(01%e}kkcLj?qB_|_@Ey+V)|i;b3Yhr^uylyK1gorgVC#fu*#tiBGvlf
z_t!^oqTvzz2!8~j|2+bA)kiQm+Y90Ky|5*`7Zm^Ng+-NKn4ax{iTWOR9o_@q|LXy9
zwH~17y5VGFH{8A24P1`h;HusYUGrUF+|mWj(Os}*cNfg8?1I=|onYSH30w)CFzDI|
z#k!pk`|lwHbU%bEsSn}m!G~~T%|mGCcnCiRIzT_W1I~MOKp))!s|7kBbGRL(3)>;{
zOgreBw?nT)JDi(r1KsjAnDcFeX4^K%P-ug|kF9X7j;Zig2y|$L42@Q3`uPB6+aG{V
z(gQei-~n_SJ^*db2ar0{0^&DXAo*kqXl!VKHnA4)desan<<0QguNlhinju`V8IH|1
zflE^pIL9=>ewQXVx4H>ZSeu}=zY+dsH-gEDMu=YD2s2`huywKlS}PjBG@t=`w>7{%
z)dt}DUJrNL>cJza9`p{@13T2iOWt~DAHEN@H}6Buh5OKIeIH&Z+=qXk>p-iij(KFh
z4sN>D!5@P<_>Zd&8lTpJeqk+?`_ux%sul+1YvJVQ8d%;`1J7b>AbnpA99dHX<~%i^
zHGB^gitmB!rF)>f<sPh6x(7SHRfAt!HB=>6!_ULjU`AI%hHy2oys84PJ5}&LsEYZH
zSHZuPRgn7cE|~P+g}I!&aNGMXoU^zK)^c}2>vJV6X|4qR1f~vFf)rH=IzpAOW#SH8
zymJRCgYUpkhdW@da|g0m?*RMb3OG?v0Uys-z)9N*;83oBYv0RZV`n-1$|#4s$IIcO
zSvlA)EeEZSWgyX12HXi{z<H<)gy=F*5-kIh*SF!wz1wi@>TP)GavL<(+=fehw_$9o
z6f7!Ap&_^w);X0zr*0|i<tzo(;Swk=DFIji5>WoH1U_q(Kr3qr<UP3su{Uo)i0>^3
z-F^!aG;hJp#bW3lDuy40#h`t;7(BNX!##~+5MI0qUPCuwxbP-yxqK7)w%r6r&71IL
zu?V6c7XjWZg3rE1P_m;4&T18b6<ZN#J}U(Al0x7LC<G3NLJ-g`gk@ZXz<5yrZsi4#
z5K;jBy9+?dumBG77eLEIKB!mcLvmz3i0#jZL@FOt#qy#4T^_hJ<bhCP9<&|JgOCk*
zuuUcpG-q>xuOk=cGjn13bS}KN%7w4Wxxl$_1C$1Cz~;gmaKZNmRPVe2|8#DE4c84Q
z7|j8J${g^C$bqkJIdF=~0T%HbNSwY7Ynrdac*=E%KYksyT3iPi#q03lXEt>7WkX3p
zHe~u{L-K#wkgl5zMLgNiJbn$Ps;_}a%r!7ObPWPbu0hYzYq0!l7F_Jif~o6Su<d*n
z^x9{^R;?@;=g5MyqnWVuZYDg4%!G69nP6m`2`o!9VPG}`N;)$jE++%7T*!d)+cV&z
zP6mW>XF%3?Ixsz@;caX>$Q(_F9cJl}u8<BhKhnUoKMnGW(m*^Q4MLsMfM;zQ#E7JU
z@^mURw4}nmj8qUmlL}p1QsJs*D*VTh3ff~Sz+asLb1^9}btDB|nx(+xvK098D;c<l
zl3_(jGT4PALx5{CG%}KbODY+*&nCgGt|So7O9CI?B>3cz1V;^%U`{v*{HGH^t~C)F
zvJ&BlPa-Veo(N;B5+RQ-5zf3$0K3KnFi1;a+TSLClwATW(MkXX?gUu%DjqEE$Ad?5
zJfxnChd!Hl5Y~)`ot*JdFdheNb#bsiDGvHi#DTd@96Zp711rur7#)v=Gj*{blN<|e
zCu8BfZ7jgbSYY9fg}zrYP*@)WVW}~2$~y+!x5j{*P7EC6ivjO9(Qvgn8g6Aq!xNuq
z;Mo}s8}y?gNH`h>W};w4M-&9!h=LEkQQ+hp1w#-8+m}Sa%de4e;!z|B6-PpONF?mp
z9|@A{BVkA(64Dl~!jWfJ!L;%!sKs6d5wEMjZgmwF)tQltS)YsmwZ;fA&4^&OO$4Ov
zjDSId2#^qq0O!x)P}&_1d`02l5gZQB_l1M?`f%u677n(5!(enc3{F*tfp}sV)Se83
zBX(h+vMLN-3xq-GbSU_Bgo0yUC@{fNpy3({^2VXCR3Q`;{)E8F;SeyX4uL(1ArN>f
z1nz7Nff?Np&=d}V6CZ=2xhoiCi-O@oNHDxU5DYubf}vkI80^`Cne7_{#~OlwKQjnQ
zE(C#tV-N^o5OhihLFA7>aC{O7x|M+-7#|2<PXxkCyFhrX8wi8Kf$;oO0KDx9fWO57
zAR7??>yHG$@y!8HpuxP(6978z{NZA|KMdvhgMN@dr0w?yelvgYSMdjS4u1%ryaKW<
zSD@nh6|lc@1r}Vcz)h1Y;HG#5lv%I9%(x%aHu^!_H9t7%>j#c|{lL=L4>l}kiiKGo
z_XUSWUpRiv7ovTAp=z%$yfO9#c|~7vV)X^Hmdo(U|1w0GUS>W^mqEJi5_}7~1mhbo
z!3fVKc=PZgu!LU(O)KWESiy^MtM>wMMPC3<y9@9}>;iZUod=G@^H8+&JnUV19#lts
z;8(g2jPCY<zU4kJ`05<IzHtt?+|R*UjdO5j<}9?`It!}D&O)5tSrC~&1L;*~z{uwe
zOft?u#-cYIX!ZsY=nblyyg`oN8<cua!`hhB;JEEHL`t28zTs1#n0X5PTu#9kl~dsP
z?j$VSJPAo&Ct<z*N%-^q1hm$ifQ(BgAYlCo@ZmZEmphL`Y~*ofzaNL!OO7+|^BA1U
zItBx7$AG9GgL@ymU_+S~yg2Oz{^$j;=n4N?JfT0t6Dq7d;f9ze<UI9&vUCsVb@6~-
zY965f;V7IhI|>8dM`11FDBNT{3fk>Qpg!UVIBz`y{L)9Dee^KI<{XA2hYo}Ns>5J0
ze+aB=55Zo)L*TdZ5Zo3#1fK>E0;V2>_`L_=ui8O4_0b)ERk%Zhk2~m?xWgE?JEZp>
zfP)DKV7=1;SgCvfl&1H?in9HHXZM5Sy8RHwwIAAh_JLT!J~-mE4+fO?!NwUk=qz^w
zM;|x%ZQ=&`yl&vy?+PnZT!GES72c}5!tfUt7^!xFX<rxMws3*fqAqag`Ccf^-V5x9
z_riX?z3}+=9@yHl2S&s9fcLgNATPfM`d{ycxRTxAc4jvi8}Ejdyt_eVz!@~toPq3f
zhCSNO5c%B+x*D87GSmq?wmQLptP_~Mc7)avN3cKZ2%k(GnR8c1uzu_SqFD~`>YxKO
z={dlyKf55WZ5P~%-UUq#yI@jf7l?iS4{YxJ2g&~b!Ds9Lz+U=4c<^c`Y`C=(9-Y|<
z2iNZeA;F!{{B#HSU*7?C9y>tGXa`8J?*P8u?I4)49pv|I2VAus_Wj-lX|3DfW%M@C
zb=n4zE4IO}ul8`f-X6Y(+C#{8dsv}p4}%}JLPYge*cz}ERJUvePPwh{^{pLzsIY^%
z%XYwRWe4igcCce=3q;@E0#7e&ft40pAVP8r{GPCdQzf>r;A0C>8*M>X!j?IX*g(=P
z8`$k*19}^6Kup307RRmO*DY&U^sxr9P1dkl(i)s!SwUi{6^vZ40`1LK5H4i}-={3W
zqudf^FI$42wIwLXT0;A~&2aJVW>^=n8HBcOhWE=hL;pt$Xsxw?wonTg+-U(HR4qX4
z+a@q=-UL^oH$l(tO`xK^34#|k!jFd=;bihgSU9i|q6{~JF2_a~9WaN)Y;$ltW)9lx
z%z<CX9Ohq`!OTrF_~>H>3l?S|xzr38?@Ym~$`ne1OySpdQ`n+v3KicrfYO5vkP){5
zRNOW|mEH!}!L|Wd2i8M%_Ifyfd_8P7Sr4kB>p@_`1Qu_bz&~FT;I%V>Wr`+XGHVQ8
zO~z0dV+@~NjKM_D7_!)mfoE_XT+CSq|4y!haMN|5EV&NaUlTZUmw<jSf!{j`^r#ak
z{zXG#Ck+v4G(;YyA&sWtjt~vcUowEVi~(j>7!YC4fR`!^Am1q{Xs19Sg@UZZ6lgIh
zcpyl@!Iub9We5XT5R$hc99Bcv_!EGcihxQwfU+lmjxm6#7{GxkBZ#|e1YIFUAna%a
zyS0s=dT}i%46KEy8*738%vy-GSPQChYoX=S8aUdt2A0RKf$;-t;3ljAKY=yi`qB_=
z$_>Fh&=4&CGlZQh4dK{71BmZ8fR-Bu@b`=XY_Me36%63ZtUl~))rW`4`e1%kA9~m6
zgNwL6EWXi$f*L(=iqr#HS3P)bs0TH?dXPH08Uo8!!}-9~aADVK2-aQ=8LX?J{;@7h
z7wUrIC0%gastdQ(bb)(e6&!lB3ZCSw0-Lj|px<g0>{eU_-{*B8rBeqsX6eA<NgZh3
zqyy3NI&kQ#HdwW51Ey<({&8(sW3CORvfAMMMGJgewV)(b3*LBXfrgnDoRQIjN1s=M
zUh7K8N?i$3$5uj$*-B88T?zNUXu_U0O%O=egqGu)5U^1bw#aLO+MEV(Kh%J)nHuo!
z6jPfuU~ahv@cdAR6+P-;m!l4W=hUIaRviS?)M3w`6;L;@0#piDK;q>UAhu%#q-d=G
zP4*Sg`dkeT-&O;eU^N(WR)b^%H8{Yp2J2p_g3>)z5RO)5exFo<o2Y`Aq$;R?P=QS?
zDsUoI1@exoz|<xc&|0nnmwqV2aIZ2L=P5(kMP<<1&Wu{jI)^emA5nq}6-uBHt_0(*
zN|238a8yhQOr{lKd9xz$rYge1aYguHp$LB!6+!U#a#%6294w2L!?`QVq0C`9%;_x$
z!oM8iCYQn2+GXGvzYKbhE(1%mWza9b3|zh|z(TJAWaTS>m9GM@?^1vVs}&%MPXXK}
z<-w#*9yAi<LB>-aBsVhSa(PhyB?ra>a^QMX4z32sL9??Qu&$K@3lTX;doK&$n`OZ<
zT^2e|%ffnFS$Lo>3$|>sFf}3rS1M&dGfD<V4$45{dKqw#lL7VbOJVWRQW!5>3Z4E-
zq275Z)UI6$O`=Poe?}UnTcttpnlylqG&5I{hFdz)FwY|m=95y8eP0SVlcnIq2`Of7
zA_a$5NWoWDDF}SA1Qe^5KwHcbICXRhXl+~q9~GBC)gMU+dnyU;<&t21RT3BnCBa~W
zBp514!n$7)U_T@Q$4Vt2F-!tl_e;QEV+kN~5)kr397YDj!Kg$WGDF2daKAVN8jAy$
zoH#`P5Ci2wF=!|egMDFQAa+0u9-4?jsJs|#{Ur)2k42f|k|<0@h(g~%QD`$2h1TVw
z(DO$G#-545k2@l;G)4qWJw)KFg$PutiogP^2y7k`hU+!Lz?LKoM@|aEsI4&krzH$8
zc!c5LYa#gCBm`-hLa_e45X|lrf<gl!I4mjz2A>3ht4k0j@&%zaKoH7Z1R<XYLawYJ
z6#o=}+Q$MgSS|qHq69$RLjY_y3qaTk0qEfnfTgea!J~m6I@9?<*M}c6ck+XzAwR^6
z@q^qKJ}B<t1GAfa@Fs*0q7U%FdQ(2;v&RRGi@Xpq$_smId4W#h1*J2*AhMkoxb%5}
zQ<N73KJ$QV4-e?y<N^Co9=PDn1Gmh0;Egg5sI&1f*DtxDwVoT6XK;i6d2aZ;iyPdG
zxZ&jzW}N4OFN0hVSk47XF<j8$#Rc9rT)@KoIkO!%Y<+NSjf55V+FpxeYpX+R*9J{-
z8Qnj!)~Iirml3aZlF^6M8l!bF6Gq8PxZtOuJnT|k1KTIJK(MC=w7v?2OLGbT&wmG-
zszK;d7u3tW1jCFuaJ|fd&ew!-&1zXpT)hI-vh^|QvN2xhw#KAjM-01t2p7%IqFt^(
zMmjV1tyslj&apIH(UpUqj>TxBScw^O^|;!)9Vg2B(BFC(KgmtuujQZ6XV*_uVeWIz
zsNkZ+6$Gdg*F~v3V<{@_ryRxTWS&>3RHyW6bg13W45&B46jiy`gsSe`NR3$AP<+$d
zsMT4H6vM-nlHPWRDziUE%^f*Ib){dT#OJP1KXZa8K9?}cSTmC8!w^HwjVDk}y(v_4
zdj=)flTEpd<x;^5g;an_31z#hoO+pZm(qMwL#-eURCjg@B_i5EO^0_=c4GY$b>lIW
zWim{injWKWXHHU^cfX@h<0JFT$}BZM{+%l6S)jUISs2@=nEoM0I2j^8xfu|~$Cy$S
zWC%7ey<J?y7_GdL49hB}m(5`rMv{^|!+v}j!!t*TF?mFlQ3C3WPJxvSgV)-OH_f_?
z(Oi9oMC2Mq@Ofb9c`_Ix2i7s<-PSX<?>A#q9Nok)IA_Ti46|WGWZN+u?r&q@*iOa@
z4o8Oks@)9fJuVE1_<an)UU$Z#z!Ao4rbk^}%5kPg-zlco&soO3nDY$vPnQ@qEBqMU
z!&exaq5~LOn}QhLY#|Jl2BtsarEtcLbypcD*rOQf52G2&V`CYAoZ=Zenu&}%zmgac
zT`7z^Sxi4o?+nH#n=HnHMmEEaJBRV{%?(CxM;_yAG1JF1u86U4zL@diKndfg{cVQz
zhH}PpgFB2g^}CE{g=$9Ck{X7PXdNR?u%2Nm(8yRO*vwF3`t4dtwlUJ=Iv9d#os4U%
zyBS;8^)eJ~`xpW)0}RpALkykpCk&UIXN-dT!wk0J7YvV|V~n@b6AVvklEJd~H6uOf
zEyK9<J!AU$3?rF~>341Tg|V>zE2B918^fXJJA;Gc7o&i&z%V`Ym+`b>k+JF*3w?Ac
z8-1PWTi)lyLC;_2q(yFU(aRrl)2g3&X!#{f?{>n^WCRM(714t9@me8z*;`?{R$P=e
zGZCZfyu|5cSrW9zBS|`sMT+jwlcopvFQwa3Waw+Xva}0_Jk3KX&~Yc0(QG%D)7z&M
z=`aOlI(wH2ot&Ubdkv`3Y9i`%t&Ik)6RAmG>Rm|}32W13b~<!y{3_b|nJzsc$7D^o
z>eDd=2K3F(hIHE6we((JBl`D4pxq@XI)4v?zIT(RGky}<&fJ)O9B)FaPpzjn8<^4%
zXhzRJF{dwTY@+)wSkRyQHq%d4t>}>R)->CI4ZT5Q3vKCVN6QRvrAzd;(cF>SX_fao
zXb!Xg==|(mw7{YRt>^4SFRgQ?8)Wy;Di`+Bn?_w|jdgBxdp47i!+C%<I^<6C_8z3;
z^$*j}Q;yJ2SUl*6gP!!SJ}+7xkJCSLPS8O@r|8aer|IU`-n7TovvgO(IeJ9<Je{6?
zfff|FMC)9*Okei)rPr<Uqj$XXqg%4C(7}%W^fk!<TDUKO9t;blKbQs44y?hn-2Gr$
z?_3C-ZWv1M`pV>3m4?whN5g4<%?LXDT?9Rqca@IXA4!L+MA6SCqv+E)(X^{u44tJM
zOKVNV(mc6wwEls3CRZncKK(v{4!@a5fA&bCuQ6F>nRChX`@1Q$uTLuNM$+h5CQD7Q
zJ)Is5&!DH6TsGq+OorP?7X2jq8ZB}#n~u}DPVbq&PM@mFp$GhL&}S`k=>y_<blONB
zEqx=OesQ#bers4r8!Z;nk2;Fz;@F$?Bd20|?TTCU)a)(#NnHso5K>A9+ux?mmzB|*
zX3FTus&ZN?pn`t2<qrKtzLGYcsiX(0@6vfpK4I;)YFbqJ9$hedkG|YkLnkqrh@W@Y
z(Lp-*Y3G0U>65+nbVp_b?c~)+>lioDM6{WXc-2fx-)W&I0v|AW3azxJW*c4jr;XnC
zsGWAa-a$v6en|h>)Jf;bb<yEpy6B<@-84r^51s7MOCMPOi1v``qf0*Y(dy0p^hnYG
z-R3b!zuz!Ko5?(;pM7~u=d?eeb2FdPV@x)vjrDVSUS*gb_%lqu9vY!_ZoQyy1&-1#
zyT|CwYhTg_MaJox_e{oV%LM%={S`gqJxL4NP0?;EU(+9$tkr_?H*{j{Te>Ro9nE**
zJso8|O`B`X&^nwS=#3K}=$QK-X@S&Fbd~pKI?nzJouxZVj|hIH&1b&S6CHE(&Ae~)
zjevQ&%k?|0X!3*3UG|gS`R^yacJvo*TKAj2l(s;>_W47fbNEXm{-amOEYilm7wHWi
zEabu{3+c3GB|7!2BwvS(tjS^{!@}$&&X=9I%(4?xR}R7$<RBKNoa9I)lUc0BMLr~P
z5ldcfQt!h}%sz0Fac3S9^@xXTHQ^;16}&`Tm5+!f@ew6nCb#)KKe_agpFG?nz+_<y
zkR($<B2y(uZfgjU|I&qsxUeu8_Y)=!--Jn-y9lWq7Gd6xD4A^(C7K3Ij&;5m>6Z~F
z>mtQTJ*xz<IW0jxzmp)@PLgC_pCmCdT|(rmmk=>6DI$GMis(p4lkFkWB;t=W89cU>
zXue)bVs<eZ;Jq>=YP~E`tCA(%E9J<QYjR|xq&$%glPCZF$&=ZW3S{n`0%701j3^B*
zBU?5tCs*$;C(ra0iC%#sNtIV3B5_J2o=2IixTH)v=9sMYLrezyOBM2Gn<^RVR3-O}
z)kyJOrnFX&drSuWptL$!h*T%KoEqf#c@5Gqt3hNAYLY8sn&kVomE=s<O2V;Ti)2)5
zkqxV~$$YLhsgTnl7vpq@J>M!~;J1n>{#-?5ymX1e8(pH~yqZ`HttMWUdL+A9kBosn
zQ7h9Y=hO|z(<}qBPRfv!M;a1ct~I3k;u>N(zlOX!x|T#uttBQ-M&$3H5oxgm64wI6
zgF>>U0tvm6A_h53$ubCuV-P!jnt1xtgo$M)Ehh<Cm?4C*ZygDGv5q|7W=srwj7f@_
z3E`?YAs5!HC%;S96W<jZi14)yBv0Cun8lcq54>h1?TQ)Mx?n~`PnnZvAIwSq{*C0~
z*hb>Ga}zP{+eEZ2EQn&W1@q+NX0q(gW}=~ONiffnY+YtWjwf4@L{V$f9A-`C*=>l<
zMH}Mz-G)?p*%G$*wq(2O7E(I0g$QrABd2@q$i&92#J*`O=|X#AamSu?Yi}dl^S6<y
z<=e^G)a^t}Vh1U^x`XWC-bq;ec9K$Ng70?fKO*<(KQipTi)2jfBKsX3h~8rd!eQ%3
zhC3Wd<$5QQQ0GL>t#Kx<x1EWt=5AtqV>dBW*h5w&?;+Y^d&#PZy~L2qg%DpCV)@&J
zIGu7O$3MA}(1UIy_mvxIb=pVXJ=sTu?Di9*uKi@c*#VN!aDa4xJNZ}PPS)xiBqs|F
zl5(X(<Xie70#b*GU(8|B#ealI2OS~qEJw*bpQA)@{wQ(t@*s8ZJ&4pkPjYI^lMMdn
zMGOYLNRst2@~8b6aa(_!bk`jxYuBD2Ib|n^sMbm1n|G4TE<Z)w(oT`5lBbDP^l8$}
z=S?usn^Y`%6K$U}q~O~bqT+RyWWPU4mhC%7GRMvl`CUFFW6*~v*qkR>9p{PSh6^O;
z{sp3DbdeO6UnJVvmq=OuC1R*_ncPdiOtScW$;2jKq8#K)_P6+wd=@|Qp7tXv&-)RN
zYClps??=AqT_LNFT_GoKT_F|ISIFE7f1<zNpPanzPs(5VlUca{qU#VqJd*-Q@lXJH
zFB(YHYy*jFL?Fq07)YLT1rc%6AY$zoM1tyrNc}<(`EC?Uw7r9gTSYKQ{u0dW_YlHz
zB!uV}gpmEOLr9`hC~4ahO6Jo;iSlqL*&-E2E^G@U`7vRnzc-Bh<_{-I7U5)5P&n~u
z2`4cu5#$aXK_2@=kol?zA~7F9^z^P08?US6Q1MlA<^5HXsuoGg+#*TawMa5N8c9CL
zM3KKcqliF46p<N-B5K0XMAs^sKxi~EZi^;n>@mc`IEGkWWU7W){t-jW4PuGO@mPW-
zv1Ij3EKyUBBTM(k5x(nj<kwgnc_SN7`u~e3H3{(~dmx?!2`7+4RtaQtXadn_OCVhA
ziDY73BB{BMNTTm0l6~J3$r}A6!gVZ(3>GJm%=byeT`ietyCsv^tYlL0BAJ|6nnG6X
zNFncIQ%Lrs6tY7gmGD}ml6!%v#JxF{h%Kg)S}KjWoJ}Jfm1!h*HjQl1Nhf26)5)3q
zbRsyFPOdG_Agi4-NJB~n+59Af42Wftowk|ed3Yw-)sab_aAc7!CRwEYViuulvPkjw
zEFz<SjRbmKBOh;GBU|5HBX?A?iMUHP@yf_19nZ6g!jkLc*w*W$A@Vxm@48O5ap#cK
z4LRh+<s2egmqT{`%puVRH%RNT8{|jv4Wjn`2C-AkCFfjnNoGbaX?UJXMkVve54$`f
z6q!d9JM+kDu6#nT&nM=W@|kU(PprQ)qh0|q_becEQ326?Q$Ut06%v8nh2&dGA$k6|
zkkp74G2f*kay+z%Y-}weOIdG{w~U*l?Cec)_RdX0eYr_~uPi2&?#1M2PBB^bvY7PB
z+#=_8+#-sxw@7QxEwZ1tgs_^GkQCn%qFq-)?*Awu7W$>6&$E=+7nPEM*QLZ-@iuwj
zbepVAzD@E5Zxd1BGIC~f8F?O9M%Ff!k(fVa<n7vWVsx^c1eTPO-uLB1Otpe+-CIE-
z(<(^YlM3=n^bS$CzC*T#+#zRM?vT`fcSsdflD<=wWU921e4DN$i>h}Cm&;wklg^A!
z?~+B)D)P;$icAGpk-p|CQuVirq!?9`GbgLbmXd0s`o5aXE8ioHyYG?UlzYtY%ss*-
zTtgZxYRJie8lu!tL%M&}kP`;AMBJ;Elor+!^Ql_$Oree(*i}b9$JLROy>;X(&wX-q
z!+kPw@jkJuzEA4D-X}`h^(4T(o=jxd6L?WiB9=6e;VlhBIlO_mw>FTx#Rf7CjYRTP
zBQY&$B%bdYNt{v>sc>o{y@^d^s;`O6^EETuwwdr;ZYI3<nhEDzGx?*{LOva6AtTpX
zNb_(Dxgqg@_}M%lyFwn2mCX;x&xHr1(Xf^Hd$khd!dCM0RV%qE*GB%^(MDLJ+epsC
zHe$@)PM$H^$zkty@}sn!Tz=n9Sd}}-C8rKDpU^?vA9avHo`(e2KO|}AACez;9un(M
z4@u^VPV#<lCs~!+NxTL-Ns&Mod1=-~gfDjysO}=pvt8tZW;aQ2>n4Ti-K6SqH)#;+
zA<Y|mNP}+=xqGjN6nyO=@hf|Y&%R#bn9)ntJn1F;!jH)C#z*9a?;~>X-Xo&+^${7<
z>?1L5eT1a<k=H|gBuKEID4O?^s!RQ3V^u%t|J+Zus}GRDy#vHDWq{o8A0V21gCu7C
zAo=PuNUSRc$@Q5*GOIj9&}oQVj2|L3-9u!S<1ta99~0}-kD250V-oZFF)5ONLhf&W
zLOQQLA^ojS$iUwxq{r|nY4&(Z%5tBQ)X}HpqU1B;VEv4&4tz#f?>{45-=2{ut>?sg
z-*dv5{+v_|J|}Mc!-RLkFe&gECMM;>Wa#}caZwy0@BSMh2ct*GtM(DHV{wE$So4Bt
zdA=Z5b6=2mFJ2H@Vw6N!j*_7(qhv|VDA_tYN`lqL$lX0-<YnR*VeK6w@|-V;KI0|X
zaPlRwDtbw5Cteau>2YFWJ5E*yjT4#s<K*w$I2qQQAh%s6h;Q-)v3N8=1h`(2hm2R`
z^2t|ZRnaT*Z2T2DFEvS|Y$nOAfJwrrog}TZlVp?n6nU_F>VFKKWmpt#7l7?TENl@2
zL{tz11Hru&5Jf^7>24O-PP<!QySuyn?C$RF?(X=`kNeu$c}_oPhRH?IW$I(a%2SUO
zHA+2EXgfcV?f8kJ*-}})^+d6|`cuW9o=+8>`#)6_Y<a4f_429WK;vhMhtbazzsEjP
zR6F!c(eTGJg`@j(g=6M(h5hX3imDf$D}I%Gp}6n;La|T%LNR^C3q{V|7mD^ZUn;%@
zyi{x*@KRB*^`*l8)l0?E#;+8)(XSL`$G%d`I`B%-;@d05M%UMhc4@B_Yp1_fG&%EH
zF}~Cr#g|TR6j91Iigk<LC`w#^qX@EnEA#$VanA5oQEu&9MW=^v6{&UJDTW5UQ!E(t
zPO)v<JH?S#?-XYmzgL`%dapP>`n_WJzW0iipWiDcwD_PXO!}bkpZq~l=lBQ3!`~ki
z%i4Zaq-T9p)SLZLas1pzMRA!=iW;7u6l;~A6x|nnQk=c|NfBxDS#gQaia_mW#qJfK
z70vH_R*b3sMe)4H7lp$7MKNyO7sZu_Ulg_Ld{u-7epL(^@Kv#X^H;^?XI~W`8+=n#
z3jL;NF!Y<E*^X}tm)GAEPL01S>P3E6lppzB@pjjD#o2e?70VreC`>Uw6n<lVC@Spx
zp*ZsKhr;6gQ_(W+r{dzcp9;-^pK_e^Q?bD1m%=sSmty0DUkdj_zZA>9{!-L#`CBm{
z@wei^#NP_<!@m_1zx`I+Y57OtnDj@HHtCOI=HWkz6W{(QKDPX;sG0Ov;XdiF!uRlB
zMd-J`is+XA6j6!)6u}e!DHMnPDO|q(Qw*zFf=_NGNbFgH!zm?bZZ5%y$t8HSrUYI`
zOEB?X2_AeefqRXTm|B%&zh6m8CzZs<P?G)=OR{ZcNnRZ+iT&-8^!`#3ZIx2YYF>&x
z-AZvgwiMshrKmQx6wQ{FqT}9D_+BeT@cU9kR4h$&)6ztFl_oT@G`*Ci@g80pxA~>1
zzoRr|E|liwi_)AfRfg3K$}rrc3`xOdXqQ!nQUl6xZh9GJY$!wGi83^LScW@4<-1*3
z`nZ;*RFAT3N-Rr~zAWV@lx5BGvIOrh%d6{U8TO$p_La)9zG*oWUgbC$QI7C}a$Fr+
zj+nXSxV*I-A!o~R_-Q#h{wv4QI_0U>raXpT<++to9xqdQrcWx*`<3PCaZr|TmgmXG
z^0?bnK<`+A|9Ms5dqf313Mx=Av;qs}RN%sv3j94?0hcEg2>DZi;#w7%;8u}UJt}e_
zu_9M=6?rnQA|IAk<maA>{JT<-5^pQ=w`?W8H>||l4wZNiT#56UmDts<5{su+V#L}?
z<Q%C)k2{rc_)>|_m2EicWWyA18<Hb!a4xXn#Sj}-&bA?QvkeVT*>Lfp4MTp~(56OZ
zZnmh*!0wf48e5qI#g$1IS(#7sD>GtyW$K)(%;Kk&as6AFjkRoP=Vr?WKU-QR*s?%l
zi`^Jo1~0PZ&HrqPx?s!yp4(EdL>2UPs&KA#6`cHKIk5_dwN<DxwhB>;t1x3{6|P;V
zg58TM1eU1EfI3y#(7GyjdQ_!cVpUwVRS6kWm4Zc88S%fW%sXF|jnAsG|8G@J*Q&;4
z*J@n%t;UVGYFt%S<J`z<9GPE@?c1uc^h`A-KCXu0S2f~lRHsXe>eTL5oww1|Ii#%4
zl%ds0on4()o2v8Scy%`4tB(3>b=+)g@Yt~iGrH8ES6B@`XV+kE{~GvAt-+(!H5hcT
z1`Tf1VB@<Q_?5HclD!>C?d^CPU`Jkx9WV8EWRJ7s{$e|#cG_|Dyd56T?3nk*jxsfC
zlHIZ<N4wReNlZ;l%9@-RQj><WYLd61CYz7e<ooTKboo>hW5rr*YE+9C9cp18RExm0
zS{RJAm_NQ2hnCdh@y=S5yikk!&uY=;Pc3}xY7^R`Hu2OZEvhz|`NE*uq)x9*?AqFd
z9I6dBYUBE@Hnq#v;dlKy+-*~bJ^po=kx+*sbsc<1*1>LG9qw(e!-^AiP~NLU>o0Y9
zU8ye18rLPEV_m8S)n#vLUGfZdsWGlD+ZNR&W=CB<pQ+2ZM|E-hQJ1Y%>f!5DkF%cj
zi0V_1>lyXvYp%!T3H1nCT8{%e>(TCfJ?1~DN5x<DD5_SU3(e}&#;ZPKLhJJ=vp$_H
z^%*g-K9`r)r{S*pq@AzNk|*_f__IFt)fy1dtO3KjG+=9=20X}UKt*!{T2E*|pCt__
z_@9iOZNQvI4OsWR0efuiIo{Ns^PTLu93-ULb3t#<$uaiqTVT(|t@g}6Y0s#8_7s1%
zm;F#f+B-C)YWs#f>)DXq2@M&iYDnDhhB(b`$jkK&S$nu41veVf{B1+-m2zNm9S8he
z9r)1Afmu-wbjx$#VSfh(PIjQd3I{grcEJCF16Q9okoMDoS5+EO?AVBpo#Zp95ie63
zk*aIN<x!3Bo7ad9n;KE~SR?w~YQ)`ljqonhm}zwz^V+pBbZ^Y~sK(sPZA{btjmi42
zG0T@VmY!&g!@0&pK5EQ}Z;jbz(}V|&no!ZB32wcb5R%Y@{Ng4I9omFhGn%kwO%rzQ
zZ^F^bO*s3!2^W70)tYk7sVT=hH)U^7Q#PbDWxlp4qenJHHK!?28=BJLa8qhrZ_2Az
zO*!zdDU<CSNo($io0lV>Lmb(W=7>@6NQcpmyq)XFl8uf;A91AY4M#S-b|j{R6Tj@7
znBClo&R$Mj2yr4i&50j6Cq|BP!fvjNZE&K|VJGHabHe_W6I1^>VN;_S{hBr7b?0Wp
z1T|w{ax)w?%@{ho84qSQ!)t9bChc#=<4etG|Ew7Uem3KntuvLII1}vQ%;=uZ9FBA5
zr_vd>LCz#hac1OlXEy9~=E@mozTS7H=4WSGmv2sw`pxO<)|{Mf&Cy0Qr(afc2Ai5Q
zbgX>Nm+zZo{Sg_zE^@C#{%><yS9hVNlM7!vx^N}Hg^dX=j4E;=X|N0KQ(gG8+=XL1
zT^N7Hg|PcBRR83{nX)YyUbh8aty=I#uE5U@ZGnHfEbCe@X=Dr9&2GWDwJpfq--3S^
zTkzkL7Bu<Zg0+=e(xG8XcDlF3%cmv(i)@KUc1u>9TGD82OD4=~$?pv<$vo7OQ&(Ez
z_Pixyf41a#<yLfS)QYKXTk+Jl6&}&8=%3SyBj#3A9M_6~`K=hfu@(Ccwc^W_Ry2R!
zis+xM7+l$vRSvG4Yvam$A6KeGx#E)T3MN+~#<-F`*OlV+u9yzEGT@RcgP*uE=$kA3
zD!QR-;6|RC8wt44JIsv^>2BET+$b@^jR!N_*t^P&8N1ymI_rkdeK%@+bmMO6)-12p
z8fEj=xO=wdZSU5sN@z`5VQcCPY|ZgWt<f)TO_Qy%e6%$M*IQ%zQe=L$#?RKBTMq6N
zwsGfgcXvidxMP>;&P=^K4Mw^%Yo<H3SGzNQw>zcJx}&@2&ZGD4gp_K-HoG>|Z`KA&
z$2Q#P*@pJ9Z5W-`hP#$Fv>qqx=e6O;`Zm}cXhX=wHjIDNhLfM$P`X@OJnOV2-=!_H
zJlk@#cU#`Yx22}CEgk!}C2B%jiWjtH<i@tlJ=m6Ym)f%Xaa)dkY0J5C?YLB@9hY6&
zanZ9Kr+c^KP<%VK7qnwVzjjO=-;M$E+mW@Q9RUa0(c)q|$~|hw{ZH-KR;E3pYPBcU
zxjoG~wdZZm_H60f9z$+>I-1+_addlD&u&lZn)cZ3Y0tqk?J2z5o;vT^v-@9rlB#*|
zr?Ce!+j`K}$AhEc9`sH3;F-n)^-vFfPVr#CQV&XQ^I+gn4}M+sK=aIl=ifYttI&bt
zbvw|$MF(bkcA!M>4y46(V1Hf*8dy4@86)GfJ5X;;2eNl}VAJUi{Jh-(-gIE#pAPJ`
z?Z}UY9ckOTBUy@$Ob_YEk))2iFYHL&0UhZ&p(DxjJJN4`M`rBn$cA$=ey=0f-gV^3
zKas22iSLa%@yERr|LDZuKArfH+=&lGop?H+6W1qn;@JF7Y+m1qIr};>=v*h#?{&iG
zT_+s=b>dr<&YW@R%>34!DO7Z(OGsxqj_u3|WoO3r>rBwN&QzG&nFDJ&W7yr9mZv*&
z^Hyg@yy{HbU!A#L$rDR`Pa3rJWQV6G;Q^k!=<7+p98ankJ()AYljhSsS+~rScH2DJ
ze8iKsS3Fts*b}GEp3E%W1sl6An45OtY1=OJ>E4Acp<Sq*(gj^n7cTVgg8T#p1Lt<(
zlKe!A<L)jLpX$QSn_VdRvI{+abYXY}FAml5;*YZz@)M8b^zdS4q!-81z4)m1qW)kn
znB+yO{7m-1^<K=`>&4bHUYxq^#obq4y#49LuZrH3t>;Z;7jLR{68ycfjq*nRofv=B
z-h3S7&7+ClT$u08?seWQ+2hTq)86FY@}~DoZ=8R4^RIkYuGH?zie_CgdUU0SZ&#{@
zcjanIS7sG;CBA=G>W%Bl<=I^syQ(YQ|JRjI$GWoUYF9#@bmiNpuFNf^pj&kX_Zunb
z*IF+3cU7=1P=QaJf=f9H(hLgT4pU&5qTtUW1p_xKD6wB;&nozKTS4I~1rL8HkV9<_
z$l;D_GnmpIesqWUP}rFSwUtn0fg_`!-VDfF20OMu=|d2B0XesUi*KO%ZwRi`P4>;*
z*zMencOKnn<lBwlux=QWyRksojU$$BJR8-Gax=QobXhmNwsa%xU^g<(cSCo#8$(`q
zWBku<OsmkH*|obf*Qq;m+I43}x9&^|>CVW6?pX7>qcnCWet38Mr*x<FqVCvj=+2it
z-MMnAJDYBFXY8}?q<`s7r_w%DsP4m62Ok!>`jFqnhqk?Z_#EZKmUJIfDj!-6@Zr%|
zA7;$*q4x?Oer)w&=^-CNF8J`}t`9R``_Sd557*24qN(MJjiWCM+xX(4@a1rzFJZC1
z+{*GLUF*y9LB8Zo@a4rEUouzua&Nn@{2lk@<V9b+?)$RxjW4x+`O?3FACGJK(bLh7
z<!$^ZtMDTw(2pH`{jklFWsM&j2Kw=5oXE`fWBdv~E^YOr)*(M4&-*d)jvpsq`cd+`
zA05i}Age|XrZ(!q0oNY9^z1>ko;~o0>_Jp&4>W~67;ovp@{v8*Gqnfj7xm!&`X0R9
z-Gd(|dQkFO56V66LB$WkUs<;Cr$k+UzB~Ezrma8s6#kqG^k;Wpf0kwXGfwS~dVoKX
zWBqAA)1PX~{CT;_p9A~+nReQroE!dhdg@Q<PyU?w=g*YNJ?UGoC-t3sa-&^OrqYu>
zK|LuK+moG{Jt<K4q``om92?UU)r_9hUD}h~8+($pw<mv2_GIR@p0t15laudd-JhPk
zuh@$LwR_1t^kS-eFYLX0v7lEknnv|vVQMcL7WQJgxffMN^kVSjUVNV4i}W?UIKQJ8
zU5<#%g<h1q+l!o+y*T!@7fz)E=wCH}s|^BZ<q|+Yj{wee3!r{*0GY7?tj!GIqbh(7
z{R7aA4q(%?0NyMLpxOEW;&%lw{#XF}F3Gxk0n~jRK=<zfWS8m9m}<RQW8a&TF1>l`
z(VKtWdQ&^NH!Wj(<DJ=?Kvi#I`t>GtRBv*o_C~p|H$`iO|MjNeNN=((^d{*}Zz5jw
z#{WxiI+hH?$u^Lx^#WyX0_9vJkb~ZVEbbM^pvXWHQv&H&5QwcYkOxBo**qbT!LtMD
zvpkS`n`PbJK$e{hB=>3{EglB)>`fqxegqO<Hi+uggE(Rzgx)0x`9FGGAP7rf5KUu(
zIF=SfZefs|F9fk{SP<PO1#x3e5JfA3D77Vs$@_w6aw>?mSA*#IFo->GMCL~jhsp%w
zQ!SW%4TAA(9?Zse!8j{|nHdmF#i(EmDZxC-4<^VE%;v$t)EOU)X=X6jmju&cLogF|
z1@r7^Fy0qs`A#tRp9j<Wb1>$A!5pd-LZ#Xvgft0ZqHBnpr-WeZ8$z#;5C+DEuq`8m
z7eyh|w}cQdJOtgO5a!Pb;pp-ZUTq4Y%H9xKp9mr7atPV?MCWA))4znUx<nuL*!1Ca
z?LORS(uc>ceR$oe4<CK{@FlnpU;D~udLKR%_TiPO4-bd-;o5{goSfB%olE<$VnZLM
z?CL|mqkYJ@(1(EAeQ5Qp4>lkB@cefl4wVmOPK{914MXvF38ilPP@Z)SWlOJ621JC?
zGbt3?+)yrPLiw+MC}E>QsWK&$<MTopxH6QETS9rUH<Vc?LJ7DWD*LBU=D!fV&!N2j
z8_I-=VYI0k##x6j@>+yZ#v_c`3RxEr#-WHXB9g**kQ0Vd6UMiGVe}svM(N3644)fD
zxfNjy-4sTNJz<!Rh4KDE7@4=jxc)SZULV5P_A890<-!?TEu2sF!|B^BoL%nWH0TnJ
z$uFEMA>p{khBG`poLkCpS{uU|FgTnuW5cO8J)HD~;jCUA&ik$5wBH|&_GCDlFNgE)
zZa6Jogp>LyoaukUIaxk}U)3XMX&*t1a|DChM6j|;1n2xB_!JUBt=I@W(jy2{Mo?gg
zVA!AtW{-(r{nQ8!%#Yy0$_P0hkKpAVkv|r}&kGU!yA?sHr^5RPO8kuAcj-vJ+D7uW
zP9%?-L~^xNB*!{LvW-X<2ShS1A`)F<B=Omipo*l4C6W@uBDpg@k{vT5nY1X9oHdbj
z-4;pJ{gK=|5y{$1k(lm8;`=NTn-7tk{~5{TGEqcUiNdaK6z7{nF{V`%ejTFtsfc1-
zuP9Q&qo|e;#oo*)@`|FUX^LXkU|Byliqg}fSTa8f-<46^-xP&qw~QZ+V%51Qx$!Rc
z9*W%SDBgaFl5HZ2G8Lm4TO*np_R&mj7ENt;`Rpv;eWDo`7)`mTX!<2Z^D#S`OjR^j
z%+dG`jb{D0XqlgA1}%u@*~(}FH%GH}cQm#~qsc!P&9UpzG<g_}@l`ZuK1b8|Z#1g%
zG3>7vgKhm7`Z~t2&^3nV9b)8cC5GZ&F>DNr;eDKZ&xj#MDdYMWt__I6W>gGa|BFF6
zJBHayVmP)oh7a3fsJA}`PQ;LYF@|BcVp#e(hC^>+xc4=NAOB*gUa>FDYxKpdL0^KM
z`jY6@m;8=>G0>Mmz4|gLtS=Md`Z77aFH;Kyoh<j4bt7bKqR7k?*+rtWT6DLFjXh%P
zsMtK$m+II1^5cGA?!D;Cp^tr8`l~O)%EXdx8!HDtvD9l6%ZKK%9BUIR$Lz5vePZbv
z7>iA0EY}iZS(q6s`^Q+^4Y7P05X;t)v9iC3rTwf}-Ytq{<?2{cx5QFsPb{a7#M1w)
z$X<)(?!8#XJddU0hgk0Yh-G-GI9l1nan>%5BKtV1G>c=kTO9r!<K%B}9QvMd*o4M0
zzi%9EQ{y<08%G~?9JkDIWDber&6qeeQ{wnGCl1rnIDV{+!>}!m&wIt*u{fTeizE4Z
z9GCCM(ep(dJ3hqG{AV0fO2zZ9QarhK@my#SPba5%X1m7o$0MG^uJP>Z5l@|vcvR8x
zoJ@+RNp?K?qIgai;;BDS^hU<BZDKqnXT}q_FrLXP<GHaho`yT)Nj?}a*NNh}b5Ue(
z#S`@?p7F2ZIr1r<pTFX9E0aJ{<pjppOklTt0?(ZisNt4CmktS}bWLDbj|5f(CvYN4
z#u5`Ko0UN0LK)X55Z*t5oZ$&r$BX{71m?|4VC}L5cCJg{$hHK|?oHsz(FAUtP2k?u
z1RmTKp33rDS@$)8tA7*ZJTj4^RT9}%JCSt`i7aqVWMb<?`gcquPmxHZe<EE&5^;)7
zq+(JcuQL-ls}xyXqMYv}k~1t3pK*yan3~APIf)!wlE|zzi4<%}#Cvxll@2Fz^_1AX
zlt}KaMA|$`<jc!Mc6?04{4){xp*X%*Okzv*B#P=K;nF0DdoD>#X_G{+&Pn_viB&z5
z=-VfWvN1_)NJ=6$D~S??Ni5SP(Ys#~uZJcvc5D)@rX<O^V-o3$llZ+#Y-~!Rr5wQT
zJ&;7$i6kDLPeOG)iNE)f82v1Xn(vaB^EC;_ze%hpn@lU)WY*M7#??NVRgTFxw@PMV
zyJYHjNoG>_WXcC5V+l>>O-wS0$;q6~O2)G=nI*bps`N`nKQx)!W0L7US=P-;rtG3*
zGFK*ZXhSlMb|hokm(0bZ$+S3|O#dsgd^;JZ$H{14iOk1js{KqRzGMnZE2QwIY6|V^
zq+oPNVOO&he!HgN?U91nD~0VoDSQk_p;cH4>3vg}nViCztQ4t93T<^Mq*zlJKO}{n
zqf>Z1DFxe^DR?YMA#QmJ{nw?iU~38ocBgRvP>LL1rcm#q__~oo;QbWRo~2-To5Gkc
zDa`$y!rIcQ?5>o`iR!6bshi5ZMyWh=PUWpzDxW-3`RbL*cOM}jm2aV`e2z)wT~aD9
zGE;d_kjiyUDrd~8>>rfMrje;Envlw*X{q#|n@Zl2R3cZW;=L&q$N!~LVSg&GkEU|=
zOe*Uxr!wxA$UIEN|3xZ|->359Ybxjeq_VV38YY`G0&ApUUoVYUjnep^a~i|k(&*!n
zMqRHo?sZRNX|FVL`=sF-oyMDlG}fl4k)M}Fb5$A-4Qb5opGL&6G%AiwWAA@ysAi_&
zxFC&7%hDLUHVyYJY24Z=b`PZCc07&CXT|T8G#cJcW8cFxQeLF-?_C;mzoy~&N5)I1
zqpXxp+3M-cu9Hq1hjb1(r4!XEohNP6(RNO!B<YOnkxreUbQXlC(>ykvwaMwU%}QrW
zK{_2Y>1;Kn(|%w&8-}OTYFs)?C#TEx{&c1+NT=fRbo#AL=iTOXQg)_uZhtymkEOHn
zOgc3$%h*lvbw8cJXQKZm9lOuz=zgYir9=iE<ujOMo535q40_hjU_s*yzB^|S;+DbU
z_8ENj%%E4d3}*Oe@GMB=BQoSzGJ})J8Q5iI5LX~N>I|M3GjJJ@LEf+oR*lKv#iR_J
zXJn8zFM~NtGPtrT1KW)m_-@a@xF>_vhcdWxLe`zn!27D`-Ogaz!we2Q&*0_T3~GGI
zp!2T`5=&+>sC*`iZ8JG+m&v1gnUrjtNkivMI=f~P-Y%28&LX48WSU<lt9oa$Cp43@
z(V5&$$mDfeCO>jADO;3DRb3`^EtxbLlu5G@nY0|2iQD8%+-C~&Gikjv6W7(5xNOYC
zaeF5AdorncC=;6#nUpw}$>+<NJiD36_4}C|f11g**AmyqOeTEK#Pm0lv@%)ru9QU^
zc_6=5?JT}G$l_*`EOs@|VwPJL#`al6dCE9hRO*q%quyEU49#L<bQT#2S#(OvqGC=K
zH<Ved&}5-EW#Ka*3)^8?TpOLm{E1m)P0PY{P8RPMX0dsB7P_@rbl9B5=N(yW+M7k;
z;VfF56x-*rn0+OS@LO3_c#y^Jr&$!e&Z5c3EG~S@lIvz!v@V^^%?jBJtCEd-&1|mK
z%cg&$Y@C{9bG&6X`E9bX?U>D4uWW+4XY<lOn-M|TG!4&YcT6@>iP=)$YzF6KQ>QSS
zRhn$PP1&63pH0G0ksp<fVL~>gr)D#5RyMU4WHWE6*k7H^$_?4LZOdlEu58*K$Y$fw
zY}%X_Ul+1zaV?uAx3h70n9a0j62qHphJ4KC`!|W{Pd0Z-<q%RKNAAbu(8?}{8Fh0g
z<B&t4V-D9`a-ek%%i8B)<C#N|B8Q8<Id}x*FeN01PZ2qCZ6b%YNjX%=$RRB^hh2p^
z)X?UTV-lPFbErNvhm27<Y#pCN*(o_h&dg!ayd2&x&cSnK4nx-EaC&nNcK^#Ec5e>z
z4(0Ihcn(fybI81u!_w<HJie1dlSeruK9~63NDLn(p6@yM{K>&sDwnn8b9qoX7rPp{
z_|?fpYoE*FCb?X2&gD<5TwL1b65cTvi<hkLmdlAAxpM6~ml~nDbco6&CN394axT*{
za@mqAdWE^X(d1IzluP6OxpW?qOP`UsWRA<l^j|Jxr{^+nPA=;g=CW^DE@xKfa&tp2
zPq*gsVP`JC_T^IMNG>)fbE$qVm)e(esedDvhIeyucqBZR<u|!B_?S!GZ@JX`olBLH
zd6X}gC&x*7e3gH4^SWjp59;M{*&&akj(Kc%$z!=&9@E<8F|<=2#ol?uch94Te;%y^
z^Qaw~$DhbN9>wNyEGdsw>3NLJ$wR5kBUqh>t09j{);yjL%;UhYJZ6v1LpvdlpecDc
z&dlS-+&s=K%45OuJk)FQ@ZFe)-L^a)?#yGuzC5gl^XPdZkLqXhxOp*;Mc4Aky`6{q
zgFHSzk@#NbVS1NGm(O|p{GP}E{^VgOl`s3meBRsSv$|S78MX4Uub<B)hkQmk=A&@Q
z=c8*rOWWoX(=ne4UioY%pG?1eY6Rr7H#nc%@O<oI^4T3P`YHL?WahImH=n4&e0gRe
zpIL@{ysY`$8kmoHSUz<}=S#2U6E-=Y*VFSEJ|`cCg|cpGK7p(9xxX$S?dE*S@5pE7
z?tEGv$Y<w~d;(79bM377xFqpj6I-|QDg7XyF;66xm-)<in@__}`7HdFkJImbmX#==
zdD#M%S1iD}N&!o16wstj0dpG^P^WPL6P*gE(4v3=ZUua4TR>jN0`7JxAdCVI`4-^O
zOLT$?unQ|-P*eeLV+)8&D&R<30q)ra%*ZdGL~#Mx+5*lP3uxP~fGL9t_&ThBn9&7n
zA74Q2$pvVq7jR*A0d5Nl7`dc?hbs!?o?8KvHx}@6YXRMM7BF>h0WS^~;C-xs@uv#7
zcTRj<E};MQ0#4s9px%Q5GM^N%;Y9&I-xT2cv4AmO3%K~RfV%$*NGz>nVR<EwZIn1y
zQ<7a%$@02Np4uyMYN8~ynUc9Jlw5aHQlp)cz>Z3WbWyTXp_KblN}Bal5*w&wY#$|i
zBb2<0QPL<uNl1zkYlf1QIZCb+C@G;*(o&}+!lcB~PsyS|N{$ax@@ABh>f@Do{HG*(
zni9h-CDZ3A<vzEP%gdB}Sf#{vy%LwrN_@5}<(ioi%|0cg4=Gu2Ov%<$N=}?pa{H2!
zx7U<%uCAo&eI*W$mAF1v;`v&M|9d6jpOqwjm;8P!DK1fnu}mQYDikuTav`Iu70Nk8
zA(QGBGTFY6DUAguS$2_it}@m}WIRN+v*>t>Znr{Ieud=rDkLSSkm%4t0wW8dZz1gx
z3UNv)q*g{DWpfJooL|VpqC(DT3fW~SWSOOqi318T4=E&lgy@YCoe721om|MDX@xwP
zRmkCaBDbiJ5z7k6UR8+yI<dK_kW$+Ux%WS@v!{@02MQ@ZQb@pwLYkZ@<oo$T&R#BL
z@%2Isw+rcgzmSHH3wigfko~X3=et6ZKNaHkt&pET3px5%aw}Cte7Pc;RVw1GZ4uk5
z7tya)5x(_`sL-&8(~XOm;8aAIOA$3(i@4-o#N_rxgm)^UnpY8L6h(~kDZ<ach`#|v
zY!5D?IIIYls3Pw5En;dy5xrAnEWL=0*+r!17g4jQh$HGEbowHk%tc)6SHyrpMYI}L
z#MO~S3>;fT%ZcJ^auJs4MKqmVB-gKsP%bK>`m!RntSlmCZ4o~<6ftW{5nXl^abs5z
zhJ9lDkoY-TMDWQXo}VdV@P#58Tq$Dnb&2D45fAQ(+@m5YKPzIv%Ocvpl~_I$5&flz
zXWwP)cM;`E6f>oCF-^)B%RS#>I#(&?Q1xPhYZY^~ZZS#r#XM<LOul0=ADoNPw=CwT
zTQU9G7W2=en1P*(Dd}CzAc`sBTTFldVtxe_V+bzhQ)n@Tk;OcZDJC_(m>WsOgr*g9
zEVG!dxy5WMD8{+Cn3<YlYz$)4T+G{k;&V_jXNDHzHL{qMV~VLgp_sw{74v3lF)=fX
z**~Y477L1*w78h>%S3*a#Jsjxj?ao2yQP?S+lvX?CHD6gQ{!MU>LbNmI9`nVX&FB!
z@mws%?`kpgZxr+6b}`}ii&^!km{QM*iG5kj`ZvXt`A|&X&&90yCVBo8dw+{rR8qyq
zGAev3sF-A<;$9UMt~FGcYN<F<S4A~@6>*JJEN-gebu$$nEmT-sRUB|vQLep8_9ZGN
zc&fPQt)gZ(716#bru(b77NC-A-6|qORs0vB;#{-}n>ZEzi7E!AsMwXR;&Ybx%2Sc9
zR57bq#d(d2vIZ5NW);eQDi#bByF*lz9wB~5tH>CqV)8`sJz2%OX)5ezspvIVg=T?@
zxr<dCTc(od$yC%`tAY(GvNo$2yG_N$|EajLTg8ukqH{=v;;4$`6DkIt79ZzS?7OJq
z&J`8Eu8Zz%@pVr{pNA^)o~Ri5Tx`EmvGuKrGapnu{;cBXHx*TXsc`zMqH{?#fo0Sr
zl~+?-NzEWzHIu5TS!kzbLv1yC>!~?qujYCqHIJLBdDl$M4;MA1UDZ@}S5vc{8v71v
z96PI#|DZ-|g_`!=)pYVx)1{{x@7`(@!D<K<B7|u99xLk;)OaSV>6oUbU8Wkh95pWa
zYMK_RX`oVLr&UY;sVQYv^WCcE?Ep282CKO?OwGxWYW9p#vwpmq1(PJ+DH8W|iGP-w
z<hg2s7l`l0YMhs;sj*VcpVexfty6Phqne#t)GXSrX4FoR-=ijazZ$PYY8oF^Q|5%o
zof7+J)vURoX53{ph1b-C+?4q4NIdt|ym+YQ=o7K=TuuL1YGU6?z8}=sepd7JtJLd<
znrXk)DF3PPEv2DeSq*Q?YdBa*!!%nBxz#jy*=eX;Tf?2Y8rC+@V0F+C*hFNVG(2_I
zu(^eX0j?T)yKAV`PQyJ94J$fnP<4?X_vosjL^ln`d^B<%sv*3WhB|>7ZUt+Y7pfsO
zLW5(phR1z1ERENYnWVufRl}on4GXh0B;{&oP@v&jp@#od8iKVN${RH7H)$|gHMAX|
z;l&^g3x;Zl9wBj#)^K2~2HgY=E&kJRdy0nf(=~LPrQyRIu{mEu*dmE(sfKmSH6*Ok
zP;sq>t?MP0O`^Y5!}jg6yi-G^J(Al#4e<vxlscke<uMI?PHOmkTEon98oFN8aR0J~
zA=flCyD2%|){t{gLxqQu|6>h3pJ{mVLdIWfX#7sYo(~#gKa2iX4HJGye7~j6f5m=D
zEuTtj8B<P6(~4Sl*k}o<qUBLFEe1O+Hnp|PtE;7L11*OdYKd&D<w;X5x@KC+xM-Q&
zQcDvzE$iL2c(>DX+(TqKX^~&UB+pwbPX%k~*Ii3FKP}_^wbTmGGAB@cg=kq3s>Llr
z%f=`z9r}vzI4xd@TJ|JsQKV_vm!U-ty4aU1-wU+tF4WRRrDeNDi-%sz2BVf%7A?#A
zX=yxA%dEj#?1o7$Beawrt;IZ6%ZKq=vL|V|Jy}cGG%ZJFXz`q_WzAeI4hytQT%@Js
zQZ4G`S{|+xnKfGWuhY_cqr|ycOT}$k^gCp1r&g{bON{#@_Jdl+9@g^Zs8*h(6`QBD
zxSo|-oY(T>qL$<<S`J^+;&M~uZfoV9hnDaMTDCmWQv0dY^|_X7FST@fqh;DVvGYMo
z#Am6)S1nb3NZo#EIr>NHT0)1ll#Z)qbhIh2V^l>Q4{UUJR?#uBnvQ2RbabtylV|I6
zJg=w2+g{c?=y=pvM@L5;Bb({C*<44fmO9yw>p0a~NBy=sa@*_J-a$v%&N{-o=$P-V
z<CQ{my6YI^D{?(_)as=pske^hK|0=r=;#!tqkn{s!%;da_0`cQPREo49oLg|*r)19
zPS>$0Q^(_M9nN_=vI|7FP+}~W?;0JMIvtA*62D1@gH<QbJLs4`P{*agI;srQ5iml>
zkWo5zkJ0gEoDR2%qVu1QIa5StnvRMybue3pcCL<<^L5-=sH6H49e&Gn=vU}iu}a5{
zH4@u;9bGo+$lI)A=2jiYx9j-&KOIiHb%gDe9QNy2bx>-0SVzfYI$Tfah(4ubz!|Y|
zPRIERI=)}h(deoU|LZymZtD2&w$$scj@$Qjlz1ezp6F!z5+5&gjD4kJ-5VX}-syP%
zK}WUEGFM-vKHqf|{*>|G;_t7HV<q%FE~TeLSv~gU^>nJJC(K4qzOA02RrSoRu4k*A
zo-?&Xu8y8x_4HJ?*VEiVk9T8{ZK@~JNsq}{&sY~d^IPiK=&I*XYdx3S=y}pk&le9p
zWjpDq>8Z!jOHbRbdO$DNIP}E&ihd70s-AkR0eVIR>X{U*XLcVwOTzT5jS&A)diKQV
zIUK9!RJ@)GiF&Rj>$#n(=Rvxjr<r<QX6t#ItLH<$p3h1>UyJm7SLyko(eqO$7zC4i
zx5)Z_GCn}$28sL-(HkcEBgD=qu{TESj?;5>f}Zn}^qiQi=ipR5JE!Z}G*d6nVCz{h
zSI@NhlJ7!2gBR;DEY(x6Tu;hMy<AJx({rt!F6;HUZq(zjSx?oiQs3=*-tW+Jf2W>v
zyY=kdt7pxAJ+lt#8F^Tb?x>!$<9b3)itcGW&Ccqnc3xt>Aa%ba^}nKL+ciD&Zs-|)
zOONu7_`0XZ>w#Xbd*~_uM9=G|Qk&;eua|mxUPS8oR!{PKJ>5S_-9PIo^Ht{Ko1UXT
z^ep=&cK%51|LO57X`pFogY<xbJLL@QtYBbTB?Icp2HEEtXi?2TnHmP}+8NkU%fO^M
z2J-3|@M&P6enSHv9SodkY+ylC19~R|LCyx6xET1_!obN^2IjemEq4Pw+8X3uvw@c$
z26lHeFs`$Kq%H<pdmH%M)xcS~lQy@zfdXFxU3wU((9^(`UIrHRHc%KO>p~2a3pH>d
z%)p!o16ff9+Qb<6(bvGiI0Iu6403PTK!X$m4^s`SOgB)JX`n;4fnPZWdA`lSumS@C
zg$8Vk4V+gQn5;1nt&_M625uS+%r+ZHuo|%MZ{YR-@iWLk{1C}=n1SoVr7k1I$7qAR
z2VvmMI0K_5NM4hqc9RY4nqojV&4Bw1121Mu+_Ob@t^vFG22L$7Fl3SBu*4wm1{her
z+(6<=12t9~IJU-sb)Dq0!NB8<2BvQ|(0i+aKidqf-(iryyCS#Sz@a?`IcGKCc)-A=
zg9Zj4HqiE{fqTcKmM08&oigzJw1KH-4Rk+m;LQaCGcOtNyJFzoRaw4n!1t!Cza@Fx
zF~B_o&+Z$T@X$b~$1=Z9q(09Kw0a>mekpVLT59=L>h{h+#s`^?PX<<hmY(=3Iee4a
z{gB%JGH~s;0pnkTyf<Lve<h8?mNxREjFB1TjC87C<Vr;&8XF_kZH=s}VkEGdk!RJ7
z46!rPsFsnPwT(p8HS(^Wkx>ndI5sr0+d<YfHu9#4kztNT8a6Ys#aVP+j67^%#MsJ6
z6*nV`TN~-z#>knrMpD}wWnW`tWJe<nI*Tt)Bi+1=a$aC0Lm^`r8Q$GUZC@kH{ET$;
zH*%z>k;nkC+1n`3a~t^^Y-CIyBXz@!EDbl(HqywRC?maMj9lt#Bq`3w^LQibL?geG
zB(@ZZBhARPbR!O#VmHeu$H5Y7u2KF0wUGk_MtT++IbCEVOl9P%+DM$%$X%ULo{KZe
zb$lZ^W+SgGMmgV*8uXVq1{(P=NPG-2@^Pqq4wugnMpUDWydQ0(aIBHn<Bal*m(+2h
z<o2JD2a}B?PBn64n$&HEk@GX9R<k9)IYyW#^D^H^yM;zpFEZk^#K@ebMrtlMGIoWL
z(yNS^SBuXzMzYr#xwGC#_(mhgHW~5WVr0Ws(b+EZxx<LfP9yzyiR^A8>3d~v_ep*S
zjO;jQq{U$)vyK?4bWH3WH}c|yk-n$I&S@hZ&dOY!lODJr`WGeNOEPxF$l<F-+FX}-
zZWt+lOLDy}{_lv*dqy_imw9|>WauO5gU3dqpBmZw%!u;~Bja8g`TWXA{2Qt9TO-Zi
z%eoIzr;kQrK1=_6G1B;(=zf>^`XROWCH?SQ{Qs3+{3mgjFwv=$i5aC$(yJ!o%9+?%
z-bDS1Cd`#g+^{jx+1AALDki>EH4#zW#KsyXs?;=*U(3Yt+9sUpniyEm#O?ZG%ihF)
z4NbgpFwwKIiG@u}{Ay|<(#gcyW+uutH<9FGVp|Kb(aJ=otBKuiChXiz<hC)fudRt%
z?M>u)$Z`i0H9MKe=`1pyCb>ppBHdebyPBwoiG*$@)^#_@bpaFMekK<8F!9;nM2}u3
zrUsaJ(%VFbAQMA_O<W2w(KOT~*HcXF4L4Ca(nM^OiDl6yKE;?I*2I`N6W8KJF42TC
z$;6Ii6Qxs41gA;<=_Ywk!$iw06Pj#^C&xsYJQG3rCZ-gaxTO@mBFUlH#Cny~N^QbR
zYhsYj#8JHo8>5L(lgOG)T(_98?`I;pzllWyB+h{*nhzG;AtqK2HSv0w3AYg@3P*~q
zQ6}DvHsL<jMA10Ocf8bgf(h42QltM&te9-#=@glRX(oAB#>BiC63a{zb!N+4%`q`y
zu8EWLOq5+<qT525(?uq>EH?3Wi3yiwqO;t@tQAt9l@jA>6TWLqSk{`@yv`)=iI`}z
z(L~=(CdO|zad?Y~pIarC?ItpIn3(xL6K8jtD7D)}$2}6yUK4ZonK-{+>UL0Sf5=4k
zVUasx;?z+SzmG{?CuIIlioH`Z52q!LGbVZGLu!29g!O{te^Gkwl8N$HME|PH_cap}
zubbF&L*lt<qV{bQK6j)xcO~w7CXU=U@&18{29IRkA4`p%h`*;M4n31PK9^p4X+rVJ
zMAmEZ`9^x@tx4WTk$QZP8h(@-eKKMCY-0WwvGvu&t8db0Kg9P>*%p48=>J>h=#R|d
zU-AFXgl$PPZAzJmC~Zbp#?17xX8u>s%&qcfepfKlu#y>tjhW=iW(L@rnP0`szN%*K
zRx|Ubx*2;rGhQ{##MUxnsBLCy9W$HjnmJ$3%$xdVD%qQHZfM5G!Aw#kGv>x3)5Oe%
zre;n#ntAGEri8PZ`pwOFxR?oUVJ54k_-bWlhO5ZAnK|Ct%zbw=-`kj}+D`1XH`CR_
zOk@YMTw6CYu#=f-oz1NFG_${pnJZpqUV5A5*uzW>M82DuF5ShpkC_x-Ga5fL!+VH*
zf3rOQU}kqOGiL%Mr`~4X1xh@@W~zmlY1~I@6KbYgn3+D|5`TmlWuzHvl$p`dq90>s
zSzj|-V$B?gGjldx>Xu-ZXGzR_P7*sQW-6zesheiTG2Kk-3^SgYX8f|ugk+oPn`4&y
zW@fo>ZbqALreA@?r8G0XQ1U4<Gp|_etIVubiw}*NU0O2-by5$#_%fKeY&3JzWaggP
z%wvn07gn=e4>a?!zgdoh&HNlFH5g>3<PbAuhMFlqOy*;_#5BT8m64L;D5=kAv%D*4
zrsh~PwZ@sLJzkg~OcW*w{|S?2Y>LQC71?Q`GhK9Nh>e+IYnIrYEw<-~kGbM&p7<1g
z&X*V#NGuB_rbQClVu^8y#JW^sUM8_GmmF3|E-NLcRg&9k$#IS3x>j;tXJ-C->BS9Z
zCTuh_Vw3d4W;6ONQva=HGPaqC-)<&shnb%LlU~?qru{B6F1w{)_egwuC7yj|xfdt%
zx!=sA17@xrlzuy8X76D$8;_V-a#ZXeGc)SA8OsT=ds2G*l$p@eX1bp-)9$Ry**VGi
zyySI3=2LilQR2R2=Fnv`o35Byc-73rYi7BZVwQK$%*5R^)9aR*j<-ekj@0O`Y$L+U
zduFcQmpmVsS@+P)tVc4>kIkr_m`QjlIXn}8&t+SBVW!+mGw+3)uf)%5Gi%<+_VQMI
zyfc&iUi$EZnNA<gH2NetewNw_SH4IOe>JoCoAl*(GsQp5@{W)h?_Xw`{ua4EW?l;y
z{+ikL&&=!+76z2GkY36{&(aoJm9bE@tc8!lm2wt#l(#Uuf<@jHvXETKLU$Vrj+HHx
zwYBh6I9A2NimDbyRkM&=-9kVO3oYy{RIF*?g>bx<h2^y^46kD$v#tfddKQ}2w@{*i
zg}cITdkZrgTF^UKh-hS?O=AnTO+;5X($vC2NAc}sA-0(X4`+$3xrLX)5f=*!T39f*
zv=G_KLTgtG72GU55O%h<FxlNgK^u#lk638f&cYYrOnVDUJ;YuI(dj6;cCt{avxOVN
z22Y8xi-iO)3+=qcR#%Bn*sQQH5(|mlWPNuF<$WyN64v`#7~*Fkria+^xA0fE(9^<_
zUKR`i7JB!#U>|7Vt*}4H!hgY1;}FTAkJK*I!c}2;n8=1p-6Jg2iL~%c*d8TuL|cf8
zvEbC#!YAQitc6K&QvY}hZV48C2`3UQOi!|qk!+!Diue~!rCOMgChO9rju{qy3&%4p
zOvw`6Yzr-Oqz=OVTnl6J#7Dk`Mg>x9VY5=|QfR@yNNQYc;kvL;Wg$;3d21~E6b@=F
zjMiBQ*ITG(uy9{kZnRKnve3aS{)B@Tsh8D4NIwfT`&+mv%pV{z4V1nZB=rzB50<=#
zSnwKZ;h%75n1vC;rDh{!?nhcUFH9a~A$qj<86));=8lyd##v}G-ohhc$pq=Ai58qE
zN!^4M|4IK%79Ue2A7SNG`94j)Pq*+~SU$r-)=Ue{W?6VFESha0WsU`hxfX5<v*uao
zJKsXB1r{y}6Bb$sS|okESb9wuw8TQ!r51h&TbEf-Ew|vhLVOF0R!V=YvQT%mg-gP?
zH8Q7bEtFhmVV9s=Fa5beWQ7GArI$BZsIgh*OBk|6>abPjSy;VIdStsr-lvyd5=Q<{
zUWVCe;j6HAmyGR}dhD@qP8haV^!8c!AS~N&A^w1cY6m4&!F<Sq`(de*F#U*yz@t)U
zVe>Jm!Ev#1!oq1`z)6|gQx={G(@)E`dq#RoSbJ7#ea=Gl^D>`;=7RL%McE$+!!KFr
zbXjr{reBdfuUhyfEWak(!gUMfZb*HEjGGqhZi&92x-ETnN47t~a#!Z$o`q||u>0cw
zfrWd**oPK8AIUyNnEY7seq!O3F#V}To^!Uyy-C>*J(vD`Avp_kUW)HmvY!&>zLw=T
zvR;_|R<`+fA}`E*Z^7q-*b%0Dl==H4_Js+bC5JEKR~YeCYV}Rx5e9she)=JC3fi9*
z8vK&@h1}m#+dmez2?>8?pYc!nO$aGr<+Cueq!mReE02VcrLFR;sg;X@zO0q{<*e)#
z(#l&YSHa3EA-JMd-Yu~*xssKRHdZ+gv0|-krID?b144QgD`l%%SuO-rv+_z9TV3qd
zuyR%?va?dHrj?CCcr7a*h5u?>X;(-53hKI6YSfc)A+)}gcf$AvqHk~Iw2<G>N<{~;
zFZ5_6aSMYQi~lB8b_=mht$Y<GJ6dVuWaW&I*G%Gfwz5c2G`GsNUCGZy{IsyLP6%je
z<*_iJmE`PdWvdYCX62<Yw6zrncPl%D@HSRn3&Y!rzjm@t2x~8L!VnLu+@lg*A-JQJ
zCqlnYR%&&&vR3HfY2}Wf?PA5oOJWf`y{()Vvb$R47|+TSg_V|A*)K$Q6JNsM?pEsf
zSXm=<_qB3W$oI2SqKB2KLJNPZylXFU^c0_hsh1Vo04oaxkKR^}32}i|-UtJOtk?xx
zStfXfSUDvm_K_M3gF<C2%*s-sQ@EAmLTrTOCRie^RF1MTS7;qAJt2g|Sh*_{_LbO$
z@v%~;ILTG;ju+cPT!NJsf-%ub`6P)~a7>oD732X_&Is|TA|n{mtdvQ&GD&dAu(Dd{
zoN48V5S}HzguHB-TVZgHl`6SbW(m%DVo&hSmt2ML0;#i*qqOo#=wE21LXq^CU|%e`
z3vE<Zb_#xKi9v|gSh*+UXsvt@%sMNj_0qROO@oy=f|F6^K=3e0p9y|u=|>^LBK;(!
zTCF@6iuy^6LcjiEV}O-WLe+tiyU<{e%!|-`u+&LtH^j<z!F#A|JA(f(shbcw+{zUp
zc7)_2q>hxi6>>+(JPNAOR=x<vF;;#F{l{7<IZk?2C_moHXu)=Zl?g)iiLxySwI*5R
zw?wSe`_Ia3q2XjJ|8L+fqqM5J001+Dk^%zKCH>LT5*Lt?Mo?P1kxrR+1VKW&TR^(I
zq+v)w7`mi8B&Ct>`SGk-!+Y<!=j^lhK6e%jzma}Icrcrc6XhhCCWQy{$TC?jkY$Rm
zWSQzKS*H0)mg%k|(+u~Kai(!d|C@11JIixOIooqdHpe_j{JVLPV6J)c@jUY;Y`%5y
zmOcxtkFE=?mv)P+pJt22gZfLvhgwVR0Tq{p2fHb`TuoA7g}Nrk%J5(=X;+y8iC2dQ
z!-=&<t@E1hYt<R8*2yvIu2++My}_6i-xwaOCFdq%k$SUr5bqB)&s(~0Q71Ip8Xlab
z#<uWaA0@Yk2kXeWLySnVQ=JfVmmK3Ut#^k97x`w7nxkZ7c(8_Sd*vO8_vtshrOSSO
zih2jEo6-l3PxeEuCDET^$xGTF7AtBV2@m#A_^<F_F=>v9KViqro14^)3J(ra{J6X%
z{RwqQ^pmdP2H&2tCW@R64;GQ~jQ!&+9nOXa7pQVBJlI0c^Y)&27xWJ9)8L|KQ1oxT
zo6jzV2fy%~7MJyYN?);Wq`7KrUeWqmcyN-k*TaKVq`P4cc}1(6?jyLRHc5F~tawI~
zJ8Fp{ckLSq@0km?seL~@*g?(*;lU)r9)<@UIYZfh#DEl!>@WXN@3CAU*Av$h?Wy>3
zl2XsagHN9upBq&BH$2!t`WMbrp3vZ>eIVB>eV%u;d~F{o_{RPb^R0Psk`nLCo4D`Q
z0cQ#R)4xdY!8yVO%0>$Xi})lg6!hRcrK5*}1;mdL3c7KYQZYlpTw=!x1wU|{A|Hi<
z8H9Zt3R?3g`C^BHiM*z9oKUcfEOA4@FdkAXUMN^k%J`um#1+0u;CaOPBouVyC|@Kr
z4zFmKC=_fXed16sfa{e1G!!f(PLfd2fg|Ki8Vbhpl-kKc!8($C77BWChN8(s!BpPR
zFhwZXN}80RAe@VoNM${|qfu&~lO~PNxk&M}p<o)Xsh2JkY~-`_p`a%xDUcx)jN>uY
zGlqg?#Qi)Jv}GTeGlhbmxk9PTp2cgv%MuFKk|?X#a)@l%Lct)eQYw2Wn9eKe<Ol_;
zi2pz15=n-f=EzwJ<_h^;&5-|(B@|T59SVNuJ@xW<2A|{&1?`9=eZEleBd5rl-yU(D
zl3#>^$vmM-flx4?57aMc3=$Nw-|Qeo;ZV?(Lu4vq9-Jai(NHjiD-<nePTZmNmm&X$
zkr+{_cqo|7D{7XIheRtG3hJ_gSf%U(Yl$0#f@W+YVQJ528%fKAg7)m>v$FDs-K6*`
z6m%kzROLcJ7xs~+y!o<^)D`?Wdr4I>6m%w%l$G4e9#VX5Om>pAvY4}#L{&mTOEwX|
zYRJEDlyAhYX3nf6di7B7EsJ<d^%|jI4$rArQ!eq4(zWCbHz@o~C>Y9la@7v`yZ=yd
zjL+++Pxg`GTWe+u@xN1Ntl$GR>v{%H`Kn$hn7~a6*S8;>AzOn`(3|}vZx{;Nu#t}&
zi9HK>NyWzUfLj#$UOsYy&zp!LJ4x6y6nxKe-chBQb#aHn&E3OsGPDp=wi36cd}IO7
zDceeZ@HhW!ZEi%8xQ(${$}7sZ6(=r}t6eDQ%U%+<7XudaFJ(G}f{~mfOGk5M8*zTH
zAI#waMLMZRj*y~rC}_b7UQ@11C>YIovUHUvY#~;+klzQ?N4QSz?&ixb;`J~-v$#uv
zo_ZYnNz_aI@H_V@*xP69BVix$U=H^v&{rL?mjpi=lbPHkcR&4xZNv%>1=X0y-((5t
zAFSscUqyt1Ux^~cPoba*3wTJu{-K~ByNNSE-Y}U<Wd2!xv5FUz7${C0;FCdm5YxCq
z)?d^IYj{P;!LDUL@rUU5OyU9=hK7PxEa4FahuK566XRF;#&C|3WVl>pI+w{bLY}ge
zM-&(-?rh-$Wk-dAUpPR#(Q1vcoFw^}P|$#xTp`m~{e#6kAkR4a%Nm|jczh`6!ymk(
z)PzvbpWVcq7z!#dltaXyWDgj{Q4&qIX2x-Xq*Lr4lQ=_)sq%nnTp-Of{el@>B+Yc+
zGlPqync;h8aFH}Kea{RolIAyO8PhmNido{uBu<fZwzH6NM3HEY{ACnJi2u8qWf=R3
zHCNs+fE~Q2_&oc>M*gM1d^N>N9+Go`zQ}y8k$#~$GL_RLStP$0$ss;otiBk)cHUBS
ziT=ha9*}*h{>p4Fl46;>V+@Chz1$e|XDhELxWYcNlv`w6X&y}GI0;rca~Q~WUQ=+j
zzRwbFl3|T_GLfUiSt}ld*vJ!du9L^i;v7lV%K?V4i?<ZoU|be)l~fz;10&eWe-znd
zzAWY%sW)3ABiY9XivA(iEaoaHx5zJsv5VK_-|9?f4(CX`Efjps05<c49NV3rOyw9K
z?~vE@WEs~<wbR%PWd|?Fy~{o@o#VvW?YyEl%ehX<J#va)*uoRCMe50n=O7;_wAZ^D
zb2vkSePT;rR&s-s`_(Q3*~CLWKOm<W!7g5q^Pn@Ai5%hs1rLb>zj2(8{tN|Q(uv<W
zP29uQO*a;Bo==YGAM|1gm-zHAb<U5h;3`Rv>QVg2a;}i%nCs}vGA{FJl(ULHEaei3
zkIPqjvxJL$azZTW#yn0F`=mM3k>5B*^i$SGYo>6BcjP%O28<(;f601AtQg8>?veUz
zD5y$^6<j9KIp-wZn9E6Go!9$l!xRqknj9DOEQYa}yQI7*$LPyq&JpMDP*99^OywZ2
z$#Kd33}Z8QNpV>$>BW3b661>Zews0c9sEPutL9HXmT->P*VGTKnMfqh$aq~Y5@IRm
z`1pq0qXlEx!9!Btv<7-JpA&@L@-9qchO?R5B)u(ObYeOO_?OS`cpl*_<}@+x`Z<Wk
z{K`gdkocb5qXSde%Tv<b4+WL!#qa#Z8?rtK1>X?C5>6BSp?#+TgIU8R;{IdrXwE49
z;1-`gawgN3@oeWVNgs!Tfc8veC-?d6iFMME$?WDKDW0lTIx&?<9+B#qyrvUV*v$hz
zdoH(W&jhw}hfn|YK0#~7@CP^e<b_^Gb4IX%E5v>2yrB`lu!1v0dnK><hJMWB2ro$g
zTA!yY)7ZlUlD!ds+AxOATqE9F^+h8Fv5b?vBlA1CM-OHY$pezUw+>n|f^}RZ=6~Kz
zsY5vPILvd>d=Nw0GnP$U=A&p4L2l~MkKZ}SW0HqO1f^)j2-b3*u;>v%c52XznM87*
zPh&&`#c0AWEG3GUq>UL7d__A(vz`lt#ftE|d=Wu4x-*p>+$7#d5kY?H5@Id~c|@|0
zBZA^I<rkK4l;@<3ZSJ&SD9bs{OVY%N2+Gi!;jH2mZ%7|EA}B{YMzNN&yyx?H5kW;d
zFq*ZT;VtRoTN`Z{&Pq=3lGF(zf`AqbVJSy>M)FUrfhG)OA%F6SBncyeA~Ym|IYe@s
zxQXl=HR;YIHgk~=e4aQWC{J64vw|p|ll;?&;7c0QpSkSgF7cB@1bO*}9!z2r=XpoE
zq!B@Bnlp$69N-@DlSKr1s7W^_uz|C@A<bv@gr@w=Joa&ixXB}eTvVqEV_Cxqo|7y^
zL{ONz^kFK0aDjKEO=)bJ(4RT%<~lJ`MFd%>KpTd#m_ytrermC#I-MEKN{;e~glWWt
z8gynfD>=#|5~lSzHR#M}R&ta_BuwXXYS5X{tmG(<NSNN|)Sxq?Sk7VY6E{Odkb_FJ
zVKDQF<T}waMg$otO%o!R$yP4#hLoR21VyP!FD9~%6FenxridUPHR!}hmU58W#L65I
zWTFgB2r-?_oZ(-RWKpZs;0K1YnEl)&MppAApfUZJ%0^D{jKtZ*f@*YN7z^0L72cC7
zySktbT^Yqv4ses`IU<7el%PJn7|$w>aF37w7ZGHp4Byj_DXix>kBFaB+^Ikd`ZJTw
zoZ<-ya=C``G$X`R))U1;;^dZpl%X+wnaFC6aF<wl#D<d8rzc}s&OvSxmRFurjBn}6
zNEQ>xW!{i1pS`3Ctr@@!HgcSY#LjO&DMfvHFq$Ro<qB{4><fEJRod_~Gugxm{vl2Q
zu_T}YJsHDN_HvomBq^xQs7N#VF_D!V<T~$3UdS`4LMwh^Dr-5yZNducs}!OJ?HI^R
zHWI~sVil1K6r(mjFoZd5;Uo|FsHp2GN-f$mkQuD!FK!d9m|Efss?d@UlUT_CuJVQ?
zU+QU;=X-iHhQ;jW0?$cMJR-<SKs~zhD|6Y(NgfchgdR#ks?w5hCa{c1F7llCCG80%
zs6$5vF@tp+<_7ObTFN{rM<aSLf_ZG^BoBxgcs>QGN=y9BS1^HPL~?<r#3>ySWS|Ju
zX+=2WS;8*P@`#Vh$ZHBxh352S3=7%LDIO4`tokQEm1sgQMlz2r9Oo|4zLHDip*)S~
z&acd26GyqpTN0P^9zscK(~h5*$WnH3hKIx`FAvB|c^cA{A<Seg2f56@#H*mbDMB?`
z(3jE7XA4o><~>O&>MI0%O9uupndR)^9RCobQbdq~+?1s*9T~tRma>ym+~WgDzcxOl
zs7+f!jAJ2NiQ*P-NmN-6<4bDLlD>>$E}J;QHC__GiuF>MDm0}hzcPz;9OM#D`KYRW
zB@bo!j`l<_js^U|UtHq_ajSVB;R`CzfKL3(B$lw9<J{s6pH%m5L}4oPJ>3}0G*+;i
z)7;}fKCPiX`I721rx(BS8*A9ddHx}+rudSLFR4aTx-*!mEMo`9xydWy)v_M)Q;xc{
zC&U=$vVntK<Pp)o(eKGlajMgd9t>d`%h|~ZZt<G<wIhP`d_j5Y(SZoYGLMZM;%^=k
zy^eK}m7-Lp5uNDIIOef|1Dxjp|B>ihai<^^s7HIk8O3bY5Xouo@P_!`i3#~AOC4I%
zhhLe&3U+dw8@wQPUHL>VN>P*M^k6VkSi)BR;tEfRSx-F4N)akipZ4@)1T$H|4vuk^
zr^Ki)K4hUV6{$x%eq=Z^Sk88ia)l>EZ=mMMOd%>zm$vlfSEjR!ZT!V$9uwA3j*^Lj
zl;=Cz(1&46V<}rX!X+LNt&zS*M)FgJS~R080~pI3R<nyJuJVMi#_lI0`6)v!n$eX3
zjAah1*+mprc|zFt?k6MpDMKxq(Uk#=We%&^MHE+gLRb^`lac(Cp%%^P$^gbPht=#N
zimN;!tf~9SKwe5wjYf3fM}{$lg=}CiC%Mj3!kWo%(vydhRHY&9>B~?ivw-zPa)N6-
zAzE`k2at~3l%NU?Xh$E0Fp2rBV-Lr<%40t8NegEwxhPI$>eH6q3}zzpSj%prxWXg;
zBSA~&JpZF86{tgVx)8w#rm=_(L~@)f{KGrqwsJ0!m4cL|Cg0PM9~sId=COvI{KZA?
z@rsXHt1CVyAEl^D1KQGyL5yQIE7-~*&T@<AL~moCNJlQdq!QoJl5X^86f;=DCiZcX
zYdq#Z;<wdb$W9^3QiDdcqZb1i!%UX2kw~Jr#C={7tDX8KJ-H}G1!~ijANY|WOkfTx
z*unu$ag9g3BTjqo?PMY!C8<nZTGEvWhBJlvtYHU-Ima!Y5v_xKAQjmtNExcrkhb*X
zXGSxF#cW^?$M~Cjyd-8v^+q~!QiQLlK||Wmou3%aWahGxE$rt6m$}bNV*H?XNKG~h
z5Kx7>w4gKn7{YjFv6PMM;V2il%`-j_uaoyjGLe_!RHQad=s<4<GMecuWGy@RlQUfB
z5pVgpvp!FHa#Dn^s6j*8(4C(c&Sd7Yk}d4#1edwbOJa1feo~W-0t8g%Tbj~=UJPIa
zllh(HY+?_8agG~2;tjF7su@y~mHd>TBHz%Mwsa?gVN75aOIXiN{^T@QdB97ecavMB
zAQO2gMmcKGfL3&&AA=do3>LD6Z5-ePm$=JwJ`lINvz!d%q%dWuN?n@s1AQ3CD5f%x
zmHfe8j&XroJmDQ5_fWH>B|8NuMJ2wW5v}RMj|^fIQ}~@_Y+xscILRgM@RWCa)Klz9
zMP~9)l(JOiJDSp-9z-ydam-)=tN4RR{^Bgxc)$yy^%5tNl8)?rK?y2QlLoY;6MguZ
z5lmt>OIXKt4se`{+~P5Bh}qlOL<&A97lkQJW$N%fZRtihgBim#=COiJ?B+11xxzi3
z^B=MM*cZ}}m3(|jIjU2arnI9Q{TReZCNYaetmY5)aF|nE;x><YP4vEc1W8FtR`ODm
zGE}BEjc7$Ddefg_jAJ_USk4A^aDXVzbDanL%YS_QqnscmpOce<l%xVRs7Eu})17dB
zVHA^@&0^NDg-DKYn#<hb32%te&sj$@(vgjP6r(Ivs6%5~)0sXD;8(^ogZZprBRe_B
zaV~I!hrHkevBRAaq#_f!C`2hLQj_{Lqa9u8%K(NkmZ{8PF{|0kE)EjKIj(Y-C%h&s
z<m@CdDal9<@>7g5d`&It(~Nd>r7r^*##p8@hsCUBGrKrQ6z90gU7qloun5m5F)7JN
z4)RlsGJH)f>eGyNbfqr?7{*wpGKa;iW;44uNEGL|%3YrDny{ZdpTwjjBRR-VG0N~Y
zwWv=s+R>H13}6^znaUg%vzpE9;vi9+<0^M~!fV3%dp?OtNk(#zpJJ5ZYid!SX0)X<
zy$CUg;f!M{vsuUr*0Ys893qOdT;>)JdCps+4=@)Jk(_j7Ar}Ssk}_1H2H(+`mUN&S
zed*5-Mlq2Y%w-9y*~AX^afFjx;2L*%%uD_w*3W8@B%~rE*~v>`N>Yw0d_#Sj(uPj-
zB%Fc#%2=i_iv=ua9b4GVL5^{TOWfoE&v--FK($IjJ|iue$;lTKqcjz%&bKt81?}ld
zAAVvmBbmT-erGYO*vNMFa+njG=PGx2#0%aNbC90Qr=%nU*~mj7O7InxsYN}S(3&6U
zPG5fF7lt#I$;@Ofi&@Efwy=x+9N`4#xXexN^MseYC&n-Gii9L1H5ti9ZVFJ0fbvwK
z7IkS%3)<0{p7dh?Lm0_;rZS89EM+wt*~T6Ya+FhC;3~Iy$TME^fmnmZlEfq@Et$wc
zUJ6m1GE}4*wW&`NTG4^7^d`hWhB2CnOlJ-YS<YHEvxB|-Nfc-Jo9o==5&!a*up!Px
z5|D(Hq$dkG$xjhV@)ciGgKud_GurS2-Ra9u{K9a?GMSmoWicyR&lYyEpCg>$9GAJt
zeV*`=_rw@#|4B$PQj?Kv<fZ_{2q;e#YEhTQw4fcG>B*1$#2|(-it$WgCcm?gWvpfc
zTiD574sn!|oZ}MLxx+)A@{)Ii4f9S)JQ9(NRHP>}Imkl+ic*rYRHQ1k_>P7&r4{Yz
zOb_}J!9a#Gl5tFC26I@zQdY5^KiEMe2l<N=oaJw>ahnG`;RSDr_N)9RE(u9WO45;u
z?BwPPico?wRG<nq`IZJWp(X9;M0ffS;%A01g0W0uI<uM25>~Q~&1`262ROoU&Tx^d
z+~Piu`Ik3*Am(s+#U~^o1!?)5Y~&(8g(*&H%2Syd)S*7#(}K4AKsS05&Hx58oH0yf
z8nc+kVpg!0O>AQ~`#DS$r@6otZgP)DJm)q45o3gNg#>&`a?+5ItmGsgh4_+ya(qp7
zYEzHKG^Y(6=}Is9(VsyKWdviGz!YXMn|Ul^8LL>wCbqJZNDgqAW1QqH7rDX>?(l%e
zJm(efh&Ixm5u5lVA}J|ILk2RFom}LjAVn!bY06QFs??+o^=L#>TGEz|bfE`*2&X@T
z7|IC7Fo7w|U^equ#4=W~j!kT3Cy^ZBFvmE_SuS#g8{FXmk9p23-Vtq-^%I-;BqAv(
zNJ9oPlbu}TqaZ~oL21fSiK^734)th6Q(DrNj&z|1eF&#NgBZ#P#xQ{?%wRV2Si~|`
zv5rk_Whapw;4sHH$yqLPg&W-A0grjkE8Y=pwDl94_#`4JDM&*GGLxNL<f9-(DM4w<
zQHiS5qz?6HL{nPQmX36x2Ym>qKZ6*`2*xmhDa>Ft^H{_(R<VvvY-J~r9N;j=ILTQq
za)le*;Q^0%&MV##ZH)C3oA@LmDJe)p1~QYKT;!u5MJYjP%2A1`)T9peXhc(5(w2^N
zp$B~kr$2)j$_U0Vo=Hq)2DA8``7B~7D_G4sHu4AC*vTIDagf6t<v6D}%LOiRl^fjV
z9uIlUGhXnTcYGlFSmzY6iN_}-CMn5DMOreDiLB%x7kT-DLKLMqr6@x=DpHwh)TB1w
zQJ+RMp*gK+O9wj9l^*owM?&;xAcGmk2u3rGiA-TSzcGh-EMy7GS;bm5u$iswU^ja?
zz@Pj@6el^udH&`K*SW=A9`J~#{L3re@*iR2<Q^Xrmjomt37?UYG^FQqvXGse<RL!=
zDZ-bOq%>bqfv>4b4Zh)9>d}zzX+}%h(4HUYLU(%6mvDaKXMSNQ!x_a`CNP<4%w#rm
zS-@hJv63~cXA@i4&MqR^&moR*j1!#Z92dFFHEwc;`~1Tbp7WA7yeHat=QbY^hxjDq
zQ<9N_)TARLnaRfg$W1;9P?%zrAfPPesYDg3Q;Ry(r2&m;N()-kj*fJu8$IbmKOz{w
zAcpWOBN@YZCNY&6%;I<EvxudvU^VO5$RBKDCwth(K@M}2<DB9w7r4Y#Zg87>JmfLY
zc)@Gl@qy?Q)IYI_$0sBvDalDiS~8G{tmGgUdHI4u6s0(&C__0aQkiPhq&DACpGGvH
zIjv|*2RhM}9`xo%LiA@KgBivMMl+6yOkp~|F^9R#XCaGO%5qk+nzgKFBb(X6Hg>R!
zJ?v#a2l<mD93_eqoZ<}UxWM0B<|@~@$!+d(pNBl+3D5YKm%QdJ@A*L3M7d5ZJ|+(F
zNI*golZ0d>Cnc##OL{Vri7aFz2RX@2Uh-3bLKLAG#VJWZ8NQ-C75SPfRHFv9sLi+3
zr9KU5OcR>Xf>yMl9Ub_A&UB?aJ?Twf`VrzM1~8Cc7{V}yGm_DaWjqs^%v7c`lUdAR
sF7sK)VwSR;m8@nh>)FU=wy=#I>|zgl+0Q}#<OoNJ;smES!#OVSf7T#zXaE2J

literal 0
HcmV?d00001

diff --git a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb
index c1196860..68ed38c7 100644
--- a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb
@@ -148,7 +148,7 @@
   },
   {
    "source": [
-    "# Euler's method for training"
+    "# Euler's method for training - benchmark time"
    ],
    "cell_type": "markdown",
    "metadata": {}
@@ -274,9 +274,7 @@
     }
    ],
    "source": [
-    "ode_solver_train.coeffs\n",
-    "\n",
-    "# The parameters are much closer"
+    "ode_solver_train.coeffs"
    ]
   },
   {
@@ -407,7 +405,7 @@
    "source": [
     "ode_solver_train.coeffs\n",
     "\n",
-    "# The parameters are much closer"
+    "# The parameters are significantly closer, differing by  0.06 at most"
    ]
   },
   {

From 4df4fbf7347e77b6aa3d9ec14fbc36a831c8d503 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Mon, 23 Aug 2021 18:38:13 -0400
Subject: [PATCH 32/73] Duffing equation - Attempt to fix "w"

---
 .../DuffingTest_class_fit.ipynb               | 388 ++++++++++++++++++
 torchts/nn/models/ode_duffing_equation.py     | 197 +++++++++
 2 files changed, 585 insertions(+)
 create mode 100644 examples/ode/DuffingEquation/DuffingTest_class_fit.ipynb
 create mode 100644 torchts/nn/models/ode_duffing_equation.py

diff --git a/examples/ode/DuffingEquation/DuffingTest_class_fit.ipynb b/examples/ode/DuffingEquation/DuffingTest_class_fit.ipynb
new file mode 100644
index 00000000..fded421d
--- /dev/null
+++ b/examples/ode/DuffingEquation/DuffingTest_class_fit.ipynb
@@ -0,0 +1,388 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode_duffing_equation import ODEDuffingSolver\n",
+    "import numpy as np\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Duffing equation: Second order ODE system\n",
+    "dt = 0.01\n",
+    "\n",
+    "# Initial conditions [0,0,0]\n",
+    "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2, \"g\": 0.8, \"w\": 5.}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODEDuffingSolver(\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 0.0000e+00,  8.0000e-03,  1.0000e-02],\n",
+       "        [ 8.0000e-05,  1.5974e-02,  2.0000e-02],\n",
+       "        ...,\n",
+       "        [-4.0961e-02, -6.2155e-02,  9.9701e+00],\n",
+       "        [-4.1583e-02, -5.4668e-02,  9.9801e+00],\n",
+       "        [-4.2129e-02, -4.7044e-02,  9.9901e+00]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 17
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:32:39.269078</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"me1c2dbe56f\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#me1c2dbe56f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#me1c2dbe56f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#me1c2dbe56f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#me1c2dbe56f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#me1c2dbe56f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#me1c2dbe56f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mffedebda39\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mffedebda39\" y=\"253.295202\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 257.09442)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mffedebda39\" y=\"207.530447\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 211.329666)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mffedebda39\" y=\"161.765692\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 165.564911)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mffedebda39\" y=\"116.000938\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 119.800156)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mffedebda39\" y=\"70.236183\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 74.035402)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mffedebda39\" y=\"24.471428\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.06 -->\n      <g transform=\"translate(15.579688 28.270647)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p0e25b89acd)\" d=\"M 61.07804 161.765692 \nL 61.403015 161.765692 \nL 61.72799 161.582633 \nL 62.052965 161.21711 \nL 62.702916 159.943337 \nL 63.352866 157.958228 \nL 64.002816 155.282772 \nL 64.977741 150.038067 \nL 65.952667 143.426297 \nL 67.252569 132.751981 \nL 68.877446 117.048372 \nL 71.477245 88.874096 \nL 74.077044 60.959033 \nL 75.701918 45.667994 \nL 77.001818 35.446293 \nL 77.976743 29.23575 \nL 78.951668 24.436899 \nL 79.601618 22.079388 \nL 80.251567 20.425749 \nL 80.901517 19.494259 \nL 81.226492 19.303067 \nL 81.551467 19.296 \nL 81.876442 19.473306 \nL 82.201417 19.834756 \nL 82.851366 21.106956 \nL 83.501316 23.101713 \nL 84.151266 25.800957 \nL 85.126191 31.11398 \nL 86.101115 37.841124 \nL 87.401015 48.756315 \nL 89.025889 64.923239 \nL 91.300713 90.484461 \nL 94.875439 130.803651 \nL 96.500313 146.472217 \nL 97.800213 156.864073 \nL 98.775137 163.140862 \nL 99.750062 167.966426 \nL 100.400012 170.326145 \nL 101.049962 171.974203 \nL 101.699911 172.896481 \nL 102.024886 173.083025 \nL 102.349861 173.086126 \nL 102.674836 172.906075 \nL 102.999811 172.543619 \nL 103.649761 171.276774 \nL 104.29971 169.300656 \nL 104.94966 166.637432 \nL 105.924585 161.419626 \nL 106.899509 154.848195 \nL 108.199409 144.25412 \nL 109.824283 128.702213 \nL 112.424082 100.90891 \nL 115.023881 73.554049 \nL 116.648756 58.69754 \nL 117.948655 48.862665 \nL 118.92358 42.960686 \nL 119.898505 38.48247 \nL 120.548454 36.343592 \nL 121.198404 34.911143 \nL 121.848354 34.202198 \nL 122.173329 34.122402 \nL 122.498304 34.226612 \nL 122.823278 34.514905 \nL 123.473228 35.641833 \nL 124.123178 37.49472 \nL 124.773128 40.057855 \nL 125.748052 45.182558 \nL 126.722981 51.746913 \nL 128.02288 62.496348 \nL 129.32278 75.151061 \nL 131.272629 96.636207 \nL 136.147252 151.971437 \nL 137.772127 167.105424 \nL 139.072026 176.903252 \nL 140.046951 182.656523 \nL 141.021876 186.907395 \nL 141.671825 188.863087 \nL 142.321775 190.095915 \nL 142.64675 190.438072 \nL 142.971725 190.596603 \nL 143.2967 190.571497 \nL 143.621675 190.363196 \nL 143.946649 189.972604 \nL 144.596599 188.650437 \nL 145.246549 186.621264 \nL 145.896499 183.908433 \nL 146.871423 178.625132 \nL 147.846348 172.002062 \nL 149.146248 161.366183 \nL 150.771122 145.81421 \nL 153.370921 118.160289 \nL 155.97072 91.124563 \nL 157.595594 76.55168 \nL 158.895494 66.982577 \nL 159.870419 61.298114 \nL 160.845343 57.049212 \nL 161.495293 55.067931 \nL 162.145243 53.795493 \nL 162.470218 53.430335 \nL 162.795192 53.247778 \nL 163.120167 53.248673 \nL 163.445142 53.433413 \nL 163.770117 53.801937 \nL 164.420067 55.087776 \nL 165.070017 57.096488 \nL 165.719966 59.811186 \nL 166.694891 65.152663 \nL 167.669816 71.9178 \nL 168.969715 82.904238 \nL 170.59459 99.202608 \nL 172.869414 125.043727 \nL 176.444137 166.049616 \nL 178.069012 182.122639 \nL 179.368911 192.871011 \nL 180.343836 199.42994 \nL 181.318761 204.546557 \nL 181.96871 207.103453 \nL 182.61866 208.949874 \nL 183.26861 210.070523 \nL 183.593585 210.35588 \nL 183.91856 210.45735 \nL 184.243535 210.375068 \nL 184.568509 210.109637 \nL 185.218459 209.034009 \nL 185.868409 207.244356 \nL 186.518359 204.761699 \nL 187.493283 199.801282 \nL 188.468208 193.467992 \nL 189.768107 183.15612 \nL 191.39299 167.891601 \nL 193.667868 143.909813 \nL 196.592712 113.105498 \nL 198.217625 98.18997 \nL 199.517555 88.257581 \nL 200.492503 82.257436 \nL 201.467451 77.663229 \nL 202.117416 75.438919 \nL 202.767382 73.915848 \nL 203.417347 73.112275 \nL 203.742329 72.984035 \nL 204.067312 73.039247 \nL 204.392295 73.27815 \nL 204.717277 73.700515 \nL 205.367243 75.092481 \nL 206.017208 77.204236 \nL 206.667173 80.01768 \nL 207.642121 85.496706 \nL 208.617069 92.383426 \nL 209.916999 103.501305 \nL 211.541912 119.905223 \nL 213.816791 145.76749 \nL 217.3916 186.487715 \nL 219.016513 202.310023 \nL 220.316443 212.812397 \nL 221.291391 219.164977 \nL 222.266339 224.060379 \nL 222.916304 226.463423 \nL 223.56627 228.152276 \nL 224.216235 229.112855 \nL 224.541218 229.317631 \nL 224.8662 229.338358 \nL 225.191183 229.175334 \nL 225.516165 228.829314 \nL 226.166131 227.593582 \nL 226.816096 225.646283 \nL 227.466061 223.00963 \nL 228.441009 217.827567 \nL 229.415957 211.287072 \nL 230.715888 200.727035 \nL 232.340801 185.206484 \nL 234.940662 157.438555 \nL 237.540523 130.079343 \nL 239.165436 115.204977 \nL 240.465366 105.34724 \nL 241.440314 99.422983 \nL 242.415262 94.917975 \nL 243.065227 92.758676 \nL 243.715193 91.303711 \nL 244.365158 90.570118 \nL 244.69014 90.477194 \nL 245.015123 90.567727 \nL 245.340106 90.841797 \nL 245.990071 91.938604 \nL 246.640036 93.75912 \nL 247.290001 96.287604 \nL 248.264949 101.355969 \nL 249.239897 107.85868 \nL 250.539828 118.517523 \nL 251.839758 131.071908 \nL 253.789654 152.388089 \nL 258.664393 207.204356 \nL 259.964324 219.38517 \nL 261.264254 229.573149 \nL 262.239202 235.66912 \nL 263.21415 240.294023 \nL 263.864115 242.510908 \nL 264.514081 244.010324 \nL 265.164046 244.779442 \nL 265.489029 244.888111 \nL 265.814011 244.812687 \nL 266.138994 244.553624 \nL 266.788959 243.488685 \nL 267.438924 241.706039 \nL 268.08889 239.225564 \nL 269.063838 234.257036 \nL 270.038785 227.898924 \nL 271.338716 217.522616 \nL 272.963629 202.118643 \nL 275.238507 177.816922 \nL 278.488334 143.125028 \nL 280.113247 128.232771 \nL 281.413177 118.403049 \nL 282.388125 112.519973 \nL 283.363073 108.069632 \nL 284.013038 105.952418 \nL 284.663004 104.542691 \nL 285.312969 103.856272 \nL 285.637952 103.787276 \nL 285.962934 103.901758 \nL 286.287917 104.199645 \nL 286.937882 105.343063 \nL 287.587847 107.207803 \nL 288.237813 109.776914 \nL 289.21276 114.896916 \nL 290.187708 121.436759 \nL 291.487639 132.116648 \nL 293.112552 148.021652 \nL 295.38743 173.292632 \nL 298.962239 213.35692 \nL 300.587152 228.984231 \nL 301.887083 239.36862 \nL 302.862031 245.650495 \nL 303.836979 250.486801 \nL 304.486944 252.855122 \nL 305.136909 254.511684 \nL 305.786874 255.441247 \nL 306.111857 255.630633 \nL 306.43684 255.635858 \nL 306.761822 255.45706 \nL 307.086805 255.09486 \nL 307.73677 253.824954 \nL 308.386735 251.840102 \nL 309.036701 249.161401 \nL 310.011649 243.905483 \nL 310.986596 237.275193 \nL 312.286527 226.565358 \nL 313.91144 210.800868 \nL 316.186318 186.115643 \nL 319.111162 154.40236 \nL 320.736075 138.979658 \nL 322.03599 128.640135 \nL 323.010938 122.333644 \nL 323.985886 117.432083 \nL 324.635851 115.002221 \nL 325.285817 113.273036 \nL 325.935782 112.262726 \nL 326.260764 112.030868 \nL 326.585747 111.982283 \nL 326.91073 112.117206 \nL 327.235712 112.435412 \nL 327.885678 113.618455 \nL 328.535643 115.520464 \nL 329.185608 118.12328 \nL 330.160556 123.284599 \nL 331.135504 129.851383 \nL 332.435434 140.538974 \nL 334.060347 156.398748 \nL 336.335226 181.48698 \nL 339.585052 217.6264 \nL 341.209965 233.375201 \nL 342.509896 243.941865 \nL 343.484844 250.40126 \nL 344.459792 255.442637 \nL 345.109757 257.959374 \nL 345.759722 259.771037 \nL 346.409687 260.86004 \nL 346.73467 261.130015 \nL 347.059653 261.216 \nL 347.384635 261.117851 \nL 347.709618 260.835865 \nL 348.359583 259.723889 \nL 349.009548 257.891657 \nL 349.659514 255.357939 \nL 350.634461 250.300263 \nL 351.609409 243.838797 \nL 352.90934 233.297186 \nL 354.534253 217.633629 \nL 356.809131 192.854341 \nL 360.058958 157.234661 \nL 361.683871 141.777181 \nL 362.983801 131.454641 \nL 363.958749 125.182575 \nL 364.933697 120.330281 \nL 365.583662 117.939666 \nL 366.233628 116.253489 \nL 366.883593 115.288746 \nL 367.208575 115.080249 \nL 367.533558 115.0552 \nL 367.858541 115.213681 \nL 368.183523 115.555307 \nL 368.833489 116.784169 \nL 369.483454 118.729609 \nL 370.133419 121.372264 \nL 371.108367 126.584087 \nL 372.083315 133.186983 \nL 373.383245 143.89457 \nL 375.008159 159.724714 \nL 377.283037 184.652962 \nL 380.532863 220.307509 \nL 382.157776 235.707667 \nL 383.457707 245.952691 \nL 384.432655 252.150448 \nL 385.407603 256.91648 \nL 385.732585 258.16742 \nL 385.732585 258.16742 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p0e25b89acd\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,2], result_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0., \"g\": 0., \"w\": 0.}\n",
+    "\n",
+    "ode_solver_train = ODEDuffingSolver(\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:32:40.277146</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mea78edc557\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#mea78edc557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#mea78edc557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#mea78edc557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#mea78edc557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#mea78edc557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#mea78edc557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m92e54d8bab\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m92e54d8bab\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m92e54d8bab\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m92e54d8bab\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m92e54d8bab\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m92e54d8bab\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p8064d5f004)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p8064d5f004\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(0.0046, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0., requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0., requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0., requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(-0.1000, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(1.7642, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0744, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.0744, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.0744, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(-0.0258, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(0.0354, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1329, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.1320, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1327, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.0356, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(0.0308, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1814, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.1791, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1808, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.0837, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(0.0675, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2234, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.2190, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2220, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.1226, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(0.0804, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2605, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.2535, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2579, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.1549, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(0.0854, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2937, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.2837, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2893, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.1822, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(0.0879, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3236, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.3104, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3173, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.2054, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(0.0894, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3507, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.3341, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3422, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.2252, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(0.0902, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3755, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.3554, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3645, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.2422, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0., requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.1},\n",
+    "    max_epochs=10\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'a': Parameter containing:\n",
+       " tensor(0.3755, requires_grad=True),\n",
+       " 'b': Parameter containing:\n",
+       " tensor(0.3554, requires_grad=True),\n",
+       " 'd': Parameter containing:\n",
+       " tensor(0.3645, requires_grad=True),\n",
+       " 'g': Parameter containing:\n",
+       " tensor(0.2422, requires_grad=True),\n",
+       " 'w': Parameter containing:\n",
+       " tensor(0., requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 22
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs\n",
+    "\n",
+    "# The coefficients differ by at most 0.1 from the original with the exception of \"w\". THe graphs look similar.\n",
+    "# TODO: Investigate why \"w\" isn't learning"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt = 10000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 0.0000e+00,  2.4221e-03,  1.0000e-02],\n",
+       "        [ 2.4221e-05,  4.8354e-03,  2.0000e-02],\n",
+       "        ...,\n",
+       "        [ 5.1547e-01, -2.1869e-06,  9.9973e+01],\n",
+       "        [ 5.1547e-01, -2.1870e-06,  9.9983e+01],\n",
+       "        [ 5.1547e-01, -2.1869e-06,  9.9993e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 23
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(10000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:32:56.060139</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m3bbb46c08b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m3bbb46c08b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.271339\" xlink:href=\"#m3bbb46c08b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 20 -->\n      <g transform=\"translate(104.908839 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.206826\" xlink:href=\"#m3bbb46c08b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 40 -->\n      <g transform=\"translate(169.844326 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.142313\" xlink:href=\"#m3bbb46c08b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 60 -->\n      <g transform=\"translate(234.779813 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.077799\" xlink:href=\"#m3bbb46c08b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 80 -->\n      <g transform=\"translate(299.715299 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.013286\" xlink:href=\"#m3bbb46c08b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 100 -->\n      <g transform=\"translate(361.469536 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m1b7adcc631\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"227.568414\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.1 -->\n      <g transform=\"translate(7.2 231.367633)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"193.920828\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 197.720047)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"160.273242\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.3 -->\n      <g transform=\"translate(7.2 164.072461)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"126.625656\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 130.424875)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"92.97807\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.5 -->\n      <g transform=\"translate(7.2 96.777289)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"59.330484\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 63.129703)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"25.682898\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.7 -->\n      <g transform=\"translate(7.2 29.482117)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p27c0be7921)\" d=\"M 46.335852 261.216 \nL 46.498191 261.134799 \nL 46.725465 260.68474 \nL 47.017675 259.545184 \nL 47.439755 256.830355 \nL 47.959239 251.856344 \nL 48.608593 243.319508 \nL 49.420286 229.463708 \nL 50.459253 207.506234 \nL 51.855365 172.784125 \nL 55.978764 67.018801 \nL 57.050199 46.450859 \nL 57.926827 33.590475 \nL 58.641117 26.074346 \nL 59.225536 21.99068 \nL 59.680092 20.103897 \nL 60.037245 19.398945 \nL 60.296993 19.305005 \nL 60.524273 19.503976 \nL 60.816489 20.133057 \nL 61.206111 21.595486 \nL 61.693138 24.355908 \nL 62.342508 29.46766 \nL 63.186689 38.111952 \nL 64.388023 53.048625 \nL 67.959556 99.005397 \nL 69.063485 109.709953 \nL 69.972602 116.499811 \nL 70.751846 120.758681 \nL 71.401216 123.192941 \nL 71.95318 124.477918 \nL 72.375269 124.988702 \nL 72.732422 125.112675 \nL 73.057107 124.989174 \nL 73.41426 124.604087 \nL 73.868819 123.755929 \nL 74.420783 122.225964 \nL 75.13509 119.520042 \nL 76.011739 115.264039 \nL 77.213073 108.218614 \nL 81.758661 80.337354 \nL 82.765184 76.034562 \nL 83.609365 73.326906 \nL 84.323672 71.719536 \nL 84.940573 70.841645 \nL 85.460069 70.462716 \nL 85.914628 70.392161 \nL 86.369186 70.553808 \nL 86.888682 71.005418 \nL 87.505584 71.879198 \nL 88.252359 73.363908 \nL 89.193945 75.768124 \nL 90.557621 79.928121 \nL 93.739533 89.811544 \nL 94.908398 92.634439 \nL 95.882453 94.437511 \nL 96.726634 95.555025 \nL 97.473409 96.190454 \nL 98.155247 96.485761 \nL 98.804617 96.52512 \nL 99.453987 96.344059 \nL 100.200762 95.889069 \nL 101.044942 95.100155 \nL 102.116402 93.768378 \nL 103.642421 91.473705 \nL 106.694459 86.832937 \nL 107.96073 85.341488 \nL 109.03219 84.4066 \nL 110.006245 83.845486 \nL 110.915362 83.574075 \nL 111.82448 83.536611 \nL 112.766066 83.722426 \nL 113.837526 84.170586 \nL 115.136266 84.968957 \nL 117.246717 86.573559 \nL 119.681854 88.348333 \nL 121.175404 89.162527 \nL 122.506612 89.636419 \nL 123.772883 89.851073 \nL 125.071622 89.84289 \nL 126.500236 89.605072 \nL 128.286003 89.065518 \nL 134.35761 87.033994 \nL 136.143376 86.786489 \nL 137.961612 86.761038 \nL 140.039595 86.963098 \nL 143.35138 87.54894 \nL 146.922914 88.107065 \nL 149.487924 88.273526 \nL 152.182437 88.218954 \nL 156.337611 87.874561 \nL 160.947256 87.56005 \nL 164.647958 87.54533 \nL 171.075492 87.803063 \nL 176.431771 87.894777 \nL 184.579806 87.748733 \nL 192.175983 87.732448 \nL 208.731753 87.774865 \nL 230.254254 87.779538 \nL 325.006252 87.773541 \nL 370.990398 87.773541 \nL 370.990398 87.773541 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p27c0be7921\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.io\n",
+    "\n",
+    "scipy.io.savemat(\"Duffing_fitRandomSample.mat\", {\"x\": results_test_np})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/torchts/nn/models/ode_duffing_equation.py b/torchts/nn/models/ode_duffing_equation.py
new file mode 100644
index 00000000..8b8bc05e
--- /dev/null
+++ b/torchts/nn/models/ode_duffing_equation.py
@@ -0,0 +1,197 @@
+import torch
+from torch import nn
+from torch.utils.data import DataLoader, TensorDataset
+
+from torchts.nn.model import TimeSeriesModel
+
+
+class ODEDuffingSolver(TimeSeriesModel):
+    def __init__(
+        self, init_vars, init_coeffs, dt, solver="euler", outvar=None, **kwargs
+    ):
+        super().__init__(**kwargs)
+
+        if solver == "euler":
+            self.step_solver = self.euler_step
+        elif solver == "rk4":
+            self.step_solver = self.runge_kutta_4_step
+        else:
+            raise ValueError(f"Unrecognized solver {solver}")
+
+        for name, value in init_coeffs.items():
+            self.register_parameter(name, nn.Parameter(torch.tensor(value)))
+        
+        self.var_names = init_vars.keys()
+        self.init_vars = {
+            name: torch.tensor(value, device=self.device)
+            for name, value in init_vars.items()
+        }
+        self.coeffs = {name: param for name, param in self.named_parameters()}
+        self.outvar = self.var_names if outvar is None else outvar
+        self.dt = dt
+
+    def euler_step(self, prev_val):
+        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
+        pred["x"] = prev_val["x"] + prev_val["x_"] * self.dt
+        pred["x_"] = prev_val["x_"] + (self.coeffs["g"]*torch.cos(self.coeffs["w"]*prev_val["t"]) - self.coeffs["d"]*prev_val["x_"] - self.coeffs["a"]*prev_val["x"] - self.coeffs["b"]*prev_val["x"]*prev_val["x"]*prev_val["x"]) * self.dt
+        pred["t"] = prev_val["t"] + self.dt
+        return pred
+
+    # TODO: Implement
+    def runge_kutta_4_step(self, prev_val):
+        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
+
+        k_1 = prev_val
+        k_2 = {}
+        k_3 = {}
+        k_4 = {}
+
+        for var in self.var_names:
+            k_2[var] = (
+                prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
+            )
+
+        for var in self.var_names:
+            k_3[var] = (
+                prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt
+            )
+
+        for var in self.var_names:
+            k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs) * self.dt
+
+        for var in self.var_names:
+            pred[var] = (
+                prev_val[var]
+                + (
+                    self.ode[var](k_1, self.coeffs) / 6
+                    + self.ode[var](k_2, self.coeffs) / 3
+                    + self.ode[var](k_3, self.coeffs) / 3
+                    + self.ode[var](k_4, self.coeffs) / 6
+                )
+                * self.dt
+            )
+        
+        return pred
+
+    def solver(self, nt):
+        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
+
+        for n in range(nt - 1):
+            # create dictionary containing values from previous time step
+            prev_val = {var: pred[var][[n]] for var in self.var_names}
+            new_val = self.step_solver(prev_val)
+            for var in self.var_names:
+                pred[var] = torch.cat([pred[var], new_val[var]])
+
+        # reformat output to contain desired (observed) variables
+        return torch.stack([pred[var] for var in self.outvar], dim=1)
+
+    def forward(self, nt):
+        return self.solver(nt)
+
+    def get_coeffs(self):
+        return {name: param.item() for name, param in self.named_parameters()}
+    
+
+    def fit(self, x, optim, optim_params=None, max_epochs=10, scheduler=None, scheduler_params=None):
+        """Fits model to the given data by comparing the whole dataset
+
+        Args:
+            x (torch.Tensor): Original time series data
+            optim (torch.optim): Optimizer
+            optim_params: Optimizer parameters
+            max_epochs (int): Number of training epochs
+            scheduler (torch.optim.lr_scheduler): Learning rate scheduler
+            scheduler_params: Learning rate scheduler parameters
+        """
+        dataset = TensorDataset(x)
+        n = dataset.__len__()
+        loader = DataLoader(dataset, batch_size=n)
+
+        if optim_params is not None:
+            optimizer = optim(self.parameters(), **optim_params)
+        else:
+            optimizer = optim(self.parameters())
+
+        if scheduler is not None:
+            if scheduler_params is not None:
+                lr_scheduler = scheduler(optimizer, **scheduler_params)
+            else:
+                lr_scheduler = scheduler(optimizer)
+
+        for epoch in range(max_epochs):
+            for i, data in enumerate(loader, 0):
+                self.zero_grad()
+                loss = self._step(data, i, n)
+                loss.backward(retain_graph=True)
+                optimizer.step()
+            if scheduler is not None:
+                lr_scheduler.step()
+            
+            print("Epoch: " + str(epoch) + "\t Loss: " + str(loss))
+            print(self.coeffs)
+
+    def fit_random_sample(self, x, optim, optim_params=None, max_epochs=10, batch_size=64, scheduler=None, scheduler_params=None):
+        """Fits model to the given data by using random samples for each batch
+
+        Args:
+            x (torch.Tensor): Original time series data
+            optim (torch.optim): Optimizer
+            optim_params: Optimizer parameters
+            max_epochs (int): Number of training epochs
+            batch_size (int): Batch size for torch.utils.data.DataLoader
+            scheduler (torch.optim.lr_scheduler): Learning rate scheduler
+            scheduler_params: Learning rate scheduler parameters
+        """
+        dataset = TensorDataset(x)
+        loader = DataLoader(dataset, batch_size=batch_size)
+
+        if optim_params is not None:
+            optimizer = optim(self.parameters(), **optim_params)
+        else:
+            optimizer = optim(self.parameters())
+
+        if scheduler is not None:
+            if scheduler_params is not None:
+                lr_scheduler = scheduler(optimizer, **scheduler_params)
+            else:
+                lr_scheduler = scheduler(optimizer)
+
+        for epoch in range(max_epochs):
+            for i, data in enumerate(loader, 0):
+                self.zero_grad()
+
+                n = data[0].shape[0]
+
+                if n<3:
+                    continue
+
+                # Takes a random data point from "data"
+                ri = torch.randint(low=0,high=n-2,size=()).item()
+                single_point = data[0][ri:ri+1,:]
+                init_point = {var: single_point[0,i] for i,var in enumerate(self.var_names)}
+
+                pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
+
+                pred = self.step_solver(init_point)
+                
+                predictions = torch.stack([pred[var] for var in self.outvar], dim=0)
+
+                # Compare numerical integration data with next data point
+                loss = self.criterion(predictions, data[0][ri+1,:])
+
+                loss.backward(retain_graph=True)
+                optimizer.step()
+            
+            if scheduler is not None:
+                lr_scheduler.step()
+            
+            print("Epoch: " + str(epoch) + "\t Loss: " + str(loss))
+            print(self.coeffs)
+
+
+    def _step(self, batch, batch_idx, num_batches):
+        (x,) = batch
+        nt = x.shape[0]
+        pred = self(nt)
+        return self.criterion(pred, x)

From 28105a8cd311b07509bf6f5a0550d459c8cf3935 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Mon, 23 Aug 2021 19:01:35 -0400
Subject: [PATCH 33/73] Fixed error with "w" in Duffing Equation

---
 .../DuffingTest_class_fit.ipynb               | 388 ----------
 .../DuffingTest_fitRandomSample_with_w.ipynb  | 401 ++++++++++
 ...ffingTest_fitRandomSample_with_w_RK4.ipynb | 401 ++++++++++
 .../DuffingTest_fit_with_w.ipynb              | 715 ++++++++++++++++++
 torchts/nn/models/ode_duffing_equation.py     | 197 -----
 5 files changed, 1517 insertions(+), 585 deletions(-)
 delete mode 100644 examples/ode/DuffingEquation/DuffingTest_class_fit.ipynb
 create mode 100644 examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb
 create mode 100644 examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
 create mode 100644 examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb
 delete mode 100644 torchts/nn/models/ode_duffing_equation.py

diff --git a/examples/ode/DuffingEquation/DuffingTest_class_fit.ipynb b/examples/ode/DuffingEquation/DuffingTest_class_fit.ipynb
deleted file mode 100644
index fded421d..00000000
--- a/examples/ode/DuffingEquation/DuffingTest_class_fit.ipynb
+++ /dev/null
@@ -1,388 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode_duffing_equation import ODEDuffingSolver\n",
-    "import numpy as np\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Duffing equation: Second order ODE system\n",
-    "dt = 0.01\n",
-    "\n",
-    "# Initial conditions [0,0,0]\n",
-    "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2, \"g\": 0.8, \"w\": 5.}\n"
-   ]
-  },
-  {
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODEDuffingSolver(\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 0.0000e+00,  8.0000e-03,  1.0000e-02],\n",
-       "        [ 8.0000e-05,  1.5974e-02,  2.0000e-02],\n",
-       "        ...,\n",
-       "        [-4.0961e-02, -6.2155e-02,  9.9701e+00],\n",
-       "        [-4.1583e-02, -5.4668e-02,  9.9801e+00],\n",
-       "        [-4.2129e-02, -4.7044e-02,  9.9901e+00]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 17
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:32:39.269078</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"me1c2dbe56f\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#me1c2dbe56f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#me1c2dbe56f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#me1c2dbe56f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#me1c2dbe56f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#me1c2dbe56f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#me1c2dbe56f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mffedebda39\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mffedebda39\" y=\"253.295202\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 257.09442)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mffedebda39\" y=\"207.530447\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 211.329666)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mffedebda39\" y=\"161.765692\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 165.564911)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mffedebda39\" y=\"116.000938\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 119.800156)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mffedebda39\" y=\"70.236183\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 74.035402)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mffedebda39\" y=\"24.471428\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.06 -->\n      <g transform=\"translate(15.579688 28.270647)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p0e25b89acd)\" d=\"M 61.07804 161.765692 \nL 61.403015 161.765692 \nL 61.72799 161.582633 \nL 62.052965 161.21711 \nL 62.702916 159.943337 \nL 63.352866 157.958228 \nL 64.002816 155.282772 \nL 64.977741 150.038067 \nL 65.952667 143.426297 \nL 67.252569 132.751981 \nL 68.877446 117.048372 \nL 71.477245 88.874096 \nL 74.077044 60.959033 \nL 75.701918 45.667994 \nL 77.001818 35.446293 \nL 77.976743 29.23575 \nL 78.951668 24.436899 \nL 79.601618 22.079388 \nL 80.251567 20.425749 \nL 80.901517 19.494259 \nL 81.226492 19.303067 \nL 81.551467 19.296 \nL 81.876442 19.473306 \nL 82.201417 19.834756 \nL 82.851366 21.106956 \nL 83.501316 23.101713 \nL 84.151266 25.800957 \nL 85.126191 31.11398 \nL 86.101115 37.841124 \nL 87.401015 48.756315 \nL 89.025889 64.923239 \nL 91.300713 90.484461 \nL 94.875439 130.803651 \nL 96.500313 146.472217 \nL 97.800213 156.864073 \nL 98.775137 163.140862 \nL 99.750062 167.966426 \nL 100.400012 170.326145 \nL 101.049962 171.974203 \nL 101.699911 172.896481 \nL 102.024886 173.083025 \nL 102.349861 173.086126 \nL 102.674836 172.906075 \nL 102.999811 172.543619 \nL 103.649761 171.276774 \nL 104.29971 169.300656 \nL 104.94966 166.637432 \nL 105.924585 161.419626 \nL 106.899509 154.848195 \nL 108.199409 144.25412 \nL 109.824283 128.702213 \nL 112.424082 100.90891 \nL 115.023881 73.554049 \nL 116.648756 58.69754 \nL 117.948655 48.862665 \nL 118.92358 42.960686 \nL 119.898505 38.48247 \nL 120.548454 36.343592 \nL 121.198404 34.911143 \nL 121.848354 34.202198 \nL 122.173329 34.122402 \nL 122.498304 34.226612 \nL 122.823278 34.514905 \nL 123.473228 35.641833 \nL 124.123178 37.49472 \nL 124.773128 40.057855 \nL 125.748052 45.182558 \nL 126.722981 51.746913 \nL 128.02288 62.496348 \nL 129.32278 75.151061 \nL 131.272629 96.636207 \nL 136.147252 151.971437 \nL 137.772127 167.105424 \nL 139.072026 176.903252 \nL 140.046951 182.656523 \nL 141.021876 186.907395 \nL 141.671825 188.863087 \nL 142.321775 190.095915 \nL 142.64675 190.438072 \nL 142.971725 190.596603 \nL 143.2967 190.571497 \nL 143.621675 190.363196 \nL 143.946649 189.972604 \nL 144.596599 188.650437 \nL 145.246549 186.621264 \nL 145.896499 183.908433 \nL 146.871423 178.625132 \nL 147.846348 172.002062 \nL 149.146248 161.366183 \nL 150.771122 145.81421 \nL 153.370921 118.160289 \nL 155.97072 91.124563 \nL 157.595594 76.55168 \nL 158.895494 66.982577 \nL 159.870419 61.298114 \nL 160.845343 57.049212 \nL 161.495293 55.067931 \nL 162.145243 53.795493 \nL 162.470218 53.430335 \nL 162.795192 53.247778 \nL 163.120167 53.248673 \nL 163.445142 53.433413 \nL 163.770117 53.801937 \nL 164.420067 55.087776 \nL 165.070017 57.096488 \nL 165.719966 59.811186 \nL 166.694891 65.152663 \nL 167.669816 71.9178 \nL 168.969715 82.904238 \nL 170.59459 99.202608 \nL 172.869414 125.043727 \nL 176.444137 166.049616 \nL 178.069012 182.122639 \nL 179.368911 192.871011 \nL 180.343836 199.42994 \nL 181.318761 204.546557 \nL 181.96871 207.103453 \nL 182.61866 208.949874 \nL 183.26861 210.070523 \nL 183.593585 210.35588 \nL 183.91856 210.45735 \nL 184.243535 210.375068 \nL 184.568509 210.109637 \nL 185.218459 209.034009 \nL 185.868409 207.244356 \nL 186.518359 204.761699 \nL 187.493283 199.801282 \nL 188.468208 193.467992 \nL 189.768107 183.15612 \nL 191.39299 167.891601 \nL 193.667868 143.909813 \nL 196.592712 113.105498 \nL 198.217625 98.18997 \nL 199.517555 88.257581 \nL 200.492503 82.257436 \nL 201.467451 77.663229 \nL 202.117416 75.438919 \nL 202.767382 73.915848 \nL 203.417347 73.112275 \nL 203.742329 72.984035 \nL 204.067312 73.039247 \nL 204.392295 73.27815 \nL 204.717277 73.700515 \nL 205.367243 75.092481 \nL 206.017208 77.204236 \nL 206.667173 80.01768 \nL 207.642121 85.496706 \nL 208.617069 92.383426 \nL 209.916999 103.501305 \nL 211.541912 119.905223 \nL 213.816791 145.76749 \nL 217.3916 186.487715 \nL 219.016513 202.310023 \nL 220.316443 212.812397 \nL 221.291391 219.164977 \nL 222.266339 224.060379 \nL 222.916304 226.463423 \nL 223.56627 228.152276 \nL 224.216235 229.112855 \nL 224.541218 229.317631 \nL 224.8662 229.338358 \nL 225.191183 229.175334 \nL 225.516165 228.829314 \nL 226.166131 227.593582 \nL 226.816096 225.646283 \nL 227.466061 223.00963 \nL 228.441009 217.827567 \nL 229.415957 211.287072 \nL 230.715888 200.727035 \nL 232.340801 185.206484 \nL 234.940662 157.438555 \nL 237.540523 130.079343 \nL 239.165436 115.204977 \nL 240.465366 105.34724 \nL 241.440314 99.422983 \nL 242.415262 94.917975 \nL 243.065227 92.758676 \nL 243.715193 91.303711 \nL 244.365158 90.570118 \nL 244.69014 90.477194 \nL 245.015123 90.567727 \nL 245.340106 90.841797 \nL 245.990071 91.938604 \nL 246.640036 93.75912 \nL 247.290001 96.287604 \nL 248.264949 101.355969 \nL 249.239897 107.85868 \nL 250.539828 118.517523 \nL 251.839758 131.071908 \nL 253.789654 152.388089 \nL 258.664393 207.204356 \nL 259.964324 219.38517 \nL 261.264254 229.573149 \nL 262.239202 235.66912 \nL 263.21415 240.294023 \nL 263.864115 242.510908 \nL 264.514081 244.010324 \nL 265.164046 244.779442 \nL 265.489029 244.888111 \nL 265.814011 244.812687 \nL 266.138994 244.553624 \nL 266.788959 243.488685 \nL 267.438924 241.706039 \nL 268.08889 239.225564 \nL 269.063838 234.257036 \nL 270.038785 227.898924 \nL 271.338716 217.522616 \nL 272.963629 202.118643 \nL 275.238507 177.816922 \nL 278.488334 143.125028 \nL 280.113247 128.232771 \nL 281.413177 118.403049 \nL 282.388125 112.519973 \nL 283.363073 108.069632 \nL 284.013038 105.952418 \nL 284.663004 104.542691 \nL 285.312969 103.856272 \nL 285.637952 103.787276 \nL 285.962934 103.901758 \nL 286.287917 104.199645 \nL 286.937882 105.343063 \nL 287.587847 107.207803 \nL 288.237813 109.776914 \nL 289.21276 114.896916 \nL 290.187708 121.436759 \nL 291.487639 132.116648 \nL 293.112552 148.021652 \nL 295.38743 173.292632 \nL 298.962239 213.35692 \nL 300.587152 228.984231 \nL 301.887083 239.36862 \nL 302.862031 245.650495 \nL 303.836979 250.486801 \nL 304.486944 252.855122 \nL 305.136909 254.511684 \nL 305.786874 255.441247 \nL 306.111857 255.630633 \nL 306.43684 255.635858 \nL 306.761822 255.45706 \nL 307.086805 255.09486 \nL 307.73677 253.824954 \nL 308.386735 251.840102 \nL 309.036701 249.161401 \nL 310.011649 243.905483 \nL 310.986596 237.275193 \nL 312.286527 226.565358 \nL 313.91144 210.800868 \nL 316.186318 186.115643 \nL 319.111162 154.40236 \nL 320.736075 138.979658 \nL 322.03599 128.640135 \nL 323.010938 122.333644 \nL 323.985886 117.432083 \nL 324.635851 115.002221 \nL 325.285817 113.273036 \nL 325.935782 112.262726 \nL 326.260764 112.030868 \nL 326.585747 111.982283 \nL 326.91073 112.117206 \nL 327.235712 112.435412 \nL 327.885678 113.618455 \nL 328.535643 115.520464 \nL 329.185608 118.12328 \nL 330.160556 123.284599 \nL 331.135504 129.851383 \nL 332.435434 140.538974 \nL 334.060347 156.398748 \nL 336.335226 181.48698 \nL 339.585052 217.6264 \nL 341.209965 233.375201 \nL 342.509896 243.941865 \nL 343.484844 250.40126 \nL 344.459792 255.442637 \nL 345.109757 257.959374 \nL 345.759722 259.771037 \nL 346.409687 260.86004 \nL 346.73467 261.130015 \nL 347.059653 261.216 \nL 347.384635 261.117851 \nL 347.709618 260.835865 \nL 348.359583 259.723889 \nL 349.009548 257.891657 \nL 349.659514 255.357939 \nL 350.634461 250.300263 \nL 351.609409 243.838797 \nL 352.90934 233.297186 \nL 354.534253 217.633629 \nL 356.809131 192.854341 \nL 360.058958 157.234661 \nL 361.683871 141.777181 \nL 362.983801 131.454641 \nL 363.958749 125.182575 \nL 364.933697 120.330281 \nL 365.583662 117.939666 \nL 366.233628 116.253489 \nL 366.883593 115.288746 \nL 367.208575 115.080249 \nL 367.533558 115.0552 \nL 367.858541 115.213681 \nL 368.183523 115.555307 \nL 368.833489 116.784169 \nL 369.483454 118.729609 \nL 370.133419 121.372264 \nL 371.108367 126.584087 \nL 372.083315 133.186983 \nL 373.383245 143.89457 \nL 375.008159 159.724714 \nL 377.283037 184.652962 \nL 380.532863 220.307509 \nL 382.157776 235.707667 \nL 383.457707 245.952691 \nL 384.432655 252.150448 \nL 385.407603 256.91648 \nL 385.732585 258.16742 \nL 385.732585 258.16742 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p0e25b89acd\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,2], result_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0., \"g\": 0., \"w\": 0.}\n",
-    "\n",
-    "ode_solver_train = ODEDuffingSolver(\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:32:40.277146</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mea78edc557\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#mea78edc557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#mea78edc557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#mea78edc557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#mea78edc557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#mea78edc557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#mea78edc557\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m92e54d8bab\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m92e54d8bab\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m92e54d8bab\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m92e54d8bab\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m92e54d8bab\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m92e54d8bab\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p8064d5f004)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p8064d5f004\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(1000)\n",
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(0.0046, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0., requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0., requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0., requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(-0.1000, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(1.7642, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0744, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.0744, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.0744, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(-0.0258, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(0.0354, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1329, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.1320, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1327, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.0356, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(0.0308, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1814, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.1791, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1808, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.0837, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(0.0675, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2234, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.2190, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2220, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.1226, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(0.0804, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2605, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.2535, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2579, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.1549, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(0.0854, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2937, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.2837, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2893, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.1822, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(0.0879, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3236, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.3104, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3173, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.2054, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(0.0894, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3507, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.3341, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3422, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.2252, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(0.0902, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3755, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.3554, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3645, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.2422, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.1},\n",
-    "    max_epochs=10\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'a': Parameter containing:\n",
-       " tensor(0.3755, requires_grad=True),\n",
-       " 'b': Parameter containing:\n",
-       " tensor(0.3554, requires_grad=True),\n",
-       " 'd': Parameter containing:\n",
-       " tensor(0.3645, requires_grad=True),\n",
-       " 'g': Parameter containing:\n",
-       " tensor(0.2422, requires_grad=True),\n",
-       " 'w': Parameter containing:\n",
-       " tensor(0., requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 22
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs\n",
-    "\n",
-    "# The coefficients differ by at most 0.1 from the original with the exception of \"w\". THe graphs look similar.\n",
-    "# TODO: Investigate why \"w\" isn't learning"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt = 10000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 0.0000e+00,  2.4221e-03,  1.0000e-02],\n",
-       "        [ 2.4221e-05,  4.8354e-03,  2.0000e-02],\n",
-       "        ...,\n",
-       "        [ 5.1547e-01, -2.1869e-06,  9.9973e+01],\n",
-       "        [ 5.1547e-01, -2.1870e-06,  9.9983e+01],\n",
-       "        [ 5.1547e-01, -2.1869e-06,  9.9993e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 23
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(10000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:32:56.060139</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m3bbb46c08b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m3bbb46c08b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.271339\" xlink:href=\"#m3bbb46c08b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 20 -->\n      <g transform=\"translate(104.908839 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.206826\" xlink:href=\"#m3bbb46c08b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 40 -->\n      <g transform=\"translate(169.844326 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.142313\" xlink:href=\"#m3bbb46c08b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 60 -->\n      <g transform=\"translate(234.779813 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.077799\" xlink:href=\"#m3bbb46c08b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 80 -->\n      <g transform=\"translate(299.715299 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.013286\" xlink:href=\"#m3bbb46c08b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 100 -->\n      <g transform=\"translate(361.469536 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m1b7adcc631\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"227.568414\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.1 -->\n      <g transform=\"translate(7.2 231.367633)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"193.920828\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 197.720047)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"160.273242\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.3 -->\n      <g transform=\"translate(7.2 164.072461)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"126.625656\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 130.424875)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"92.97807\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.5 -->\n      <g transform=\"translate(7.2 96.777289)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"59.330484\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 63.129703)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1b7adcc631\" y=\"25.682898\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.7 -->\n      <g transform=\"translate(7.2 29.482117)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p27c0be7921)\" d=\"M 46.335852 261.216 \nL 46.498191 261.134799 \nL 46.725465 260.68474 \nL 47.017675 259.545184 \nL 47.439755 256.830355 \nL 47.959239 251.856344 \nL 48.608593 243.319508 \nL 49.420286 229.463708 \nL 50.459253 207.506234 \nL 51.855365 172.784125 \nL 55.978764 67.018801 \nL 57.050199 46.450859 \nL 57.926827 33.590475 \nL 58.641117 26.074346 \nL 59.225536 21.99068 \nL 59.680092 20.103897 \nL 60.037245 19.398945 \nL 60.296993 19.305005 \nL 60.524273 19.503976 \nL 60.816489 20.133057 \nL 61.206111 21.595486 \nL 61.693138 24.355908 \nL 62.342508 29.46766 \nL 63.186689 38.111952 \nL 64.388023 53.048625 \nL 67.959556 99.005397 \nL 69.063485 109.709953 \nL 69.972602 116.499811 \nL 70.751846 120.758681 \nL 71.401216 123.192941 \nL 71.95318 124.477918 \nL 72.375269 124.988702 \nL 72.732422 125.112675 \nL 73.057107 124.989174 \nL 73.41426 124.604087 \nL 73.868819 123.755929 \nL 74.420783 122.225964 \nL 75.13509 119.520042 \nL 76.011739 115.264039 \nL 77.213073 108.218614 \nL 81.758661 80.337354 \nL 82.765184 76.034562 \nL 83.609365 73.326906 \nL 84.323672 71.719536 \nL 84.940573 70.841645 \nL 85.460069 70.462716 \nL 85.914628 70.392161 \nL 86.369186 70.553808 \nL 86.888682 71.005418 \nL 87.505584 71.879198 \nL 88.252359 73.363908 \nL 89.193945 75.768124 \nL 90.557621 79.928121 \nL 93.739533 89.811544 \nL 94.908398 92.634439 \nL 95.882453 94.437511 \nL 96.726634 95.555025 \nL 97.473409 96.190454 \nL 98.155247 96.485761 \nL 98.804617 96.52512 \nL 99.453987 96.344059 \nL 100.200762 95.889069 \nL 101.044942 95.100155 \nL 102.116402 93.768378 \nL 103.642421 91.473705 \nL 106.694459 86.832937 \nL 107.96073 85.341488 \nL 109.03219 84.4066 \nL 110.006245 83.845486 \nL 110.915362 83.574075 \nL 111.82448 83.536611 \nL 112.766066 83.722426 \nL 113.837526 84.170586 \nL 115.136266 84.968957 \nL 117.246717 86.573559 \nL 119.681854 88.348333 \nL 121.175404 89.162527 \nL 122.506612 89.636419 \nL 123.772883 89.851073 \nL 125.071622 89.84289 \nL 126.500236 89.605072 \nL 128.286003 89.065518 \nL 134.35761 87.033994 \nL 136.143376 86.786489 \nL 137.961612 86.761038 \nL 140.039595 86.963098 \nL 143.35138 87.54894 \nL 146.922914 88.107065 \nL 149.487924 88.273526 \nL 152.182437 88.218954 \nL 156.337611 87.874561 \nL 160.947256 87.56005 \nL 164.647958 87.54533 \nL 171.075492 87.803063 \nL 176.431771 87.894777 \nL 184.579806 87.748733 \nL 192.175983 87.732448 \nL 208.731753 87.774865 \nL 230.254254 87.779538 \nL 325.006252 87.773541 \nL 370.990398 87.773541 \nL 370.990398 87.773541 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p27c0be7921\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot\n",
-    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import scipy.io\n",
-    "\n",
-    "scipy.io.savemat(\"Duffing_fitRandomSample.mat\", {\"x\": results_test_np})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
\ No newline at end of file
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb
new file mode 100644
index 00000000..494b2183
--- /dev/null
+++ b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb
@@ -0,0 +1,401 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "import numpy as np\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Duffing equation: Second order ODE system\n",
+    "dt = 0.01\n",
+    "\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x_\"]\n",
+    "\n",
+    "def x_prime_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"g\"]*torch.cos(coeffs[\"w\"]*prev_val[\"t\"]) - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n",
+    "\n",
+    "def t_prime(prev_val, coeffs):\n",
+    "    return 1\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"t\": t_prime}\n",
+    "\n",
+    "# Initial conditions [0,0,0]\n",
+    "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2, \"g\": 0.8, \"w\": 0.5}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
+       "        [3.9973e-05, 7.9920e-03, 1.0000e-02],\n",
+       "        [1.5979e-04, 1.5968e-02, 2.0000e-02],\n",
+       "        ...,\n",
+       "        [1.3451e-01, 1.5991e-01, 9.9701e+00],\n",
+       "        [1.3612e-01, 1.6162e-01, 9.9801e+00],\n",
+       "        [1.3774e-01, 1.6335e-01, 9.9901e+00]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 5
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:46:23.047156</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mfdcfe6edd8\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.71554\" xlink:href=\"#mfdcfe6edd8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(51.53429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"119.710578\" xlink:href=\"#mfdcfe6edd8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(116.529328 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"184.705615\" xlink:href=\"#mfdcfe6edd8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(181.524365 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.700653\" xlink:href=\"#mfdcfe6edd8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(246.519403 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"314.695691\" xlink:href=\"#mfdcfe6edd8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(311.514441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"379.690729\" xlink:href=\"#mfdcfe6edd8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(373.328229 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"maf8f8576aa\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#maf8f8576aa\" y=\"238.995879\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −1.5 -->\n      <g transform=\"translate(7.2 242.795098)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#maf8f8576aa\" y=\"201.621172\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −1.0 -->\n      <g transform=\"translate(7.2 205.420391)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#maf8f8576aa\" y=\"164.246466\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.5 -->\n      <g transform=\"translate(7.2 168.045684)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#maf8f8576aa\" y=\"126.871759\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 130.670978)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#maf8f8576aa\" y=\"89.497052\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.5 -->\n      <g transform=\"translate(15.579688 93.296271)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#maf8f8576aa\" y=\"52.122346\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(15.579688 55.921564)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#maf8f8576aa\" y=\"14.747639\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.5 -->\n      <g transform=\"translate(15.579688 18.546858)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p0fdffd93ca)\" d=\"M 54.71554 126.871759 \nL 56.665391 126.76456 \nL 58.615241 126.444806 \nL 60.565093 125.915435 \nL 62.514946 125.179617 \nL 64.78977 124.064788 \nL 67.064594 122.67939 \nL 69.339418 121.02963 \nL 71.614243 119.122141 \nL 74.214042 116.635668 \nL 76.813841 113.833155 \nL 79.738615 110.31784 \nL 82.663389 106.4371 \nL 85.913138 101.722343 \nL 89.162889 96.615297 \nL 92.737612 90.589649 \nL 96.962286 82.996967 \nL 101.836909 73.751639 \nL 117.760678 43.109617 \nL 121.010431 37.538017 \nL 123.935205 32.965223 \nL 126.535004 29.333438 \nL 128.809828 26.543984 \nL 130.759677 24.474365 \nL 132.709526 22.726213 \nL 134.334401 21.529953 \nL 135.959275 20.581458 \nL 137.584149 19.889078 \nL 139.209024 19.459255 \nL 140.833898 19.296321 \nL 142.458773 19.40252 \nL 144.083647 19.777942 \nL 145.708521 20.420564 \nL 147.333396 21.32634 \nL 148.95827 22.489319 \nL 150.583145 23.901791 \nL 152.532994 25.912955 \nL 154.482843 28.251494 \nL 156.757667 31.365917 \nL 159.032492 34.862382 \nL 161.632291 39.278845 \nL 164.557064 44.717415 \nL 167.806813 51.25518 \nL 171.381537 58.938881 \nL 175.60621 68.541685 \nL 180.805808 80.946657 \nL 186.655403 95.488261 \nL 193.155055 112.261767 \nL 199.329725 128.80749 \nL 205.179412 145.09336 \nL 211.354082 162.966477 \nL 218.5037 184.407643 \nL 229.228127 216.648921 \nL 233.127918 227.623056 \nL 236.052762 235.267474 \nL 238.652623 241.489867 \nL 240.927501 246.392469 \nL 242.877397 250.128359 \nL 244.827293 253.383751 \nL 246.452206 255.698631 \nL 248.077119 257.628814 \nL 249.37705 258.883966 \nL 250.67698 259.874413 \nL 251.976911 260.594951 \nL 253.276841 261.042364 \nL 254.576772 261.215501 \nL 255.876702 261.115352 \nL 257.176633 260.744965 \nL 258.476563 260.109481 \nL 259.776494 259.215983 \nL 261.076424 258.073393 \nL 262.701338 256.311153 \nL 264.326251 254.200276 \nL 266.276146 251.245108 \nL 268.226042 247.877574 \nL 270.500921 243.499579 \nL 273.100782 238.011286 \nL 276.350608 230.612994 \nL 281.225347 218.878026 \nL 289.999878 197.693401 \nL 294.224652 188.11144 \nL 297.799461 180.506791 \nL 301.37427 173.427431 \nL 304.624096 167.474483 \nL 307.873923 161.990537 \nL 311.123749 156.973161 \nL 314.048593 152.847739 \nL 316.973421 149.07957 \nL 319.898264 145.653558 \nL 322.823108 142.552366 \nL 325.747952 139.757007 \nL 328.672795 137.247279 \nL 331.922622 134.768035 \nL 335.172448 132.585593 \nL 338.422274 130.669524 \nL 341.997083 128.832719 \nL 345.571892 127.239633 \nL 349.796666 125.614561 \nL 354.671406 124.001907 \nL 361.171058 122.118096 \nL 373.520398 118.585508 \nL 378.395137 116.936205 \nL 379.370085 116.57568 \nL 379.370085 116.57568 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482813 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p0fdffd93ca\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,2], result_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0., \"g\": 0., \"w\": 1.}\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:46:24.188460</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"me598cfae47\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#me598cfae47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#me598cfae47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#me598cfae47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#me598cfae47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#me598cfae47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#me598cfae47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m39af6d7b4a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m39af6d7b4a\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m39af6d7b4a\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m39af6d7b4a\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m39af6d7b4a\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m39af6d7b4a\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pe0ef391ca4)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe0ef391ca4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(1.5345e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1958, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.4740, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.0340, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8324, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.2078, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(1.6405e-09, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.3523, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.1234, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2738, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.1512, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.7224, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(6.2219e-07, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0425, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.6194, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2392, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.0152, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.6459, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(7.5991e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.4149, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.3046, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.1818, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.5973, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.3731, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(6.2194e-07, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0007, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.7119, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3436, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.0089, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.8776, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(4.3112e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.4914, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.3646, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1118, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(-0.5849, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.8166, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(8.0236e-08, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.2452, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.6347, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.0824, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(-0.2328, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.1488, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(6.6415e-07, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.4988, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.4766, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.0458, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(-0.1356, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.0817, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(3.4479e-07, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.3148, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.6386, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1946, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(-0.2991, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.2047, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(2.0038e-07, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.5308, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5294, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.0315, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(-0.0015, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.1920, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.1},\n",
+    "    max_epochs=10\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'a': Parameter containing:\n",
+       " tensor(-0.5308, requires_grad=True),\n",
+       " 'b': Parameter containing:\n",
+       " tensor(0.5294, requires_grad=True),\n",
+       " 'd': Parameter containing:\n",
+       " tensor(-0.0315, requires_grad=True),\n",
+       " 'g': Parameter containing:\n",
+       " tensor(-0.0015, requires_grad=True),\n",
+       " 'w': Parameter containing:\n",
+       " tensor(0.1920, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 10
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs\n",
+    "\n",
+    "# The coefficients differ by at most 0.1 from the original with the exception of \"w\". THe graphs look similar.\n",
+    "# TODO: Investigate why \"w\" isn't learning"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt = 10000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 0.0000e+00, -1.4574e-05,  1.0000e-02],\n",
+       "        [-1.4574e-07, -2.9153e-05,  2.0000e-02],\n",
+       "        ...,\n",
+       "        [-6.5856e+00,  2.5939e+01,  9.9973e+01],\n",
+       "        [-6.3262e+00,  2.7424e+01,  9.9983e+01],\n",
+       "        [-6.0520e+00,  2.8740e+01,  9.9993e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 11
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(10000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 393.262187 297.190125\" width=\"393.262187pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:51:52.676469</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 393.262187 297.190125 \nL 393.262187 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 28.942188 273.312 \nL 386.062188 273.312 \nL 386.062188 7.2 \nL 28.942188 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"maa761323e7\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"45.174915\" xlink:href=\"#maa761323e7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(41.993665 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"110.110402\" xlink:href=\"#maa761323e7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 20 -->\n      <g transform=\"translate(103.747902 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"175.045888\" xlink:href=\"#maa761323e7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 40 -->\n      <g transform=\"translate(168.683388 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"239.981375\" xlink:href=\"#maa761323e7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 60 -->\n      <g transform=\"translate(233.618875 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"304.916862\" xlink:href=\"#maa761323e7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 80 -->\n      <g transform=\"translate(298.554362 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.852349\" xlink:href=\"#maa761323e7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 100 -->\n      <g transform=\"translate(360.308599 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"me094d06755\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"260.799398\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −8 -->\n      <g transform=\"translate(7.2 264.598617)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"229.705457\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −6 -->\n      <g transform=\"translate(7.2 233.504676)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"198.611516\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −4 -->\n      <g transform=\"translate(7.2 202.410735)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"167.517575\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −2 -->\n      <g transform=\"translate(7.2 171.316794)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"136.423634\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0 -->\n      <g transform=\"translate(15.579688 140.222853)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"105.329694\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 2 -->\n      <g transform=\"translate(15.579688 109.128912)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"74.235753\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 4 -->\n      <g transform=\"translate(15.579688 78.034971)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"43.141812\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 6 -->\n      <g transform=\"translate(15.579688 46.941031)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"12.047871\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 8 -->\n      <g transform=\"translate(15.579688 15.84709)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p154877efcd)\" d=\"M 45.174915 136.423634 \nL 53.876263 136.534569 \nL 58.356812 136.79377 \nL 61.246508 137.17015 \nL 63.421896 137.669034 \nL 65.175194 138.293742 \nL 66.668745 139.059256 \nL 67.999953 139.993129 \nL 69.201287 141.104542 \nL 70.370152 142.495433 \nL 71.506548 144.20151 \nL 72.675413 146.370093 \nL 73.974153 149.274326 \nL 77.578155 157.69655 \nL 78.227524 158.496618 \nL 78.74702 158.805813 \nL 79.169111 158.820777 \nL 79.591201 158.620788 \nL 80.078228 158.133272 \nL 80.695129 157.162427 \nL 81.506842 155.414476 \nL 82.838049 151.920569 \nL 85.110844 146.010668 \nL 86.539457 142.935305 \nL 88.000539 140.309706 \nL 89.851243 137.467275 \nL 93.000686 132.681069 \nL 94.396831 130.083596 \nL 95.69557 127.175668 \nL 97.059247 123.547147 \nL 100.306095 114.594219 \nL 100.955465 113.564279 \nL 101.442492 113.14573 \nL 101.864583 113.056497 \nL 102.254204 113.206241 \nL 102.708763 113.65567 \nL 103.260727 114.565276 \nL 103.975034 116.226652 \nL 105.046494 119.364814 \nL 108.163469 128.781966 \nL 109.786893 132.806009 \nL 114.78704 144.64736 \nL 116.248122 149.146678 \nL 119.30016 158.848023 \nL 119.94953 160.0779 \nL 120.436557 160.586201 \nL 120.826179 160.704952 \nL 121.183332 160.580997 \nL 121.572954 160.195878 \nL 122.059981 159.372777 \nL 122.709351 157.774603 \nL 123.618469 154.871614 \nL 128.001714 140.029211 \nL 132.125212 127.548063 \nL 133.748636 121.522479 \nL 135.761682 114.105122 \nL 136.475989 112.26665 \nL 136.995485 111.448178 \nL 137.385107 111.175996 \nL 137.709792 111.187628 \nL 138.066945 111.45238 \nL 138.489035 112.091909 \nL 139.041 113.404753 \nL 139.787775 115.846976 \nL 141.054046 120.90766 \nL 143.521651 130.734977 \nL 148.456861 149.384604 \nL 151.0215 160.10628 \nL 151.670745 161.845022 \nL 152.15768 162.587137 \nL 152.514765 162.777287 \nL 152.806926 162.699422 \nL 153.131549 162.367766 \nL 153.553558 161.57025 \nL 154.105417 159.979068 \nL 154.884513 156.947605 \nL 156.41024 149.861091 \nL 158.617676 139.938291 \nL 161.993755 125.08167 \nL 164.915361 111.444431 \nL 165.532145 109.763749 \nL 165.954155 109.156962 \nL 166.278778 109.028769 \nL 166.570938 109.173374 \nL 166.895561 109.618588 \nL 167.317571 110.616622 \nL 167.901892 112.665284 \nL 168.745912 116.569133 \nL 175.140984 149.527924 \nL 177.413344 161.579534 \nL 178.06259 163.826103 \nL 178.517062 164.712192 \nL 178.841685 164.939984 \nL 179.101384 164.866987 \nL 179.393544 164.514446 \nL 179.783092 163.619952 \nL 180.302489 161.76351 \nL 181.049121 158.112412 \nL 182.509925 149.539239 \nL 185.301682 133.479486 \nL 187.379269 121.001249 \nL 189.132232 110.665497 \nL 189.781478 108.063707 \nL 190.23595 107.023812 \nL 190.560573 106.749295 \nL 190.787809 106.802164 \nL 191.047508 107.109969 \nL 191.404593 107.947348 \nL 191.891527 109.779797 \nL 192.573236 113.367239 \nL 193.806803 121.339222 \nL 200.072025 162.697645 \nL 200.721271 165.694442 \nL 201.175743 166.913728 \nL 201.500366 167.248881 \nL 201.727602 167.201256 \nL 201.987301 166.861383 \nL 202.311924 166.024546 \nL 202.766396 164.162972 \nL 203.415642 160.42501 \nL 204.584284 152.085205 \nL 210.589809 108.12159 \nL 211.17413 105.481616 \nL 211.563677 104.545084 \nL 211.823376 104.343348 \nL 212.01815 104.423116 \nL 212.277848 104.836304 \nL 212.634933 105.950584 \nL 213.121868 108.361107 \nL 213.836038 113.2349 \nL 215.42669 126.171999 \nL 220.458346 166.60937 \nL 220.977743 168.894268 \nL 221.334828 169.646111 \nL 221.562064 169.736328 \nL 221.756838 169.567121 \nL 222.016536 168.992892 \nL 222.373621 167.592491 \nL 222.893018 164.488438 \nL 223.672113 158.264559 \nL 226.983267 128.370643 \nL 229.612713 105.245404 \nL 230.13211 102.701742 \nL 230.489195 101.888276 \nL 230.716431 101.815736 \nL 230.911205 102.035784 \nL 231.170903 102.726432 \nL 231.527988 104.36567 \nL 232.047385 107.9311 \nL 232.891404 115.574823 \nL 236.981654 156.796852 \nL 238.150296 167.688528 \nL 238.702155 171.049225 \nL 239.05924 172.174738 \nL 239.286476 172.391898 \nL 239.448788 172.299601 \nL 239.676024 171.825464 \nL 240.000647 170.482091 \nL 240.455119 167.456124 \nL 241.136827 161.159563 \nL 242.922253 141.660385 \nL 246.622955 102.293776 \nL 247.077427 99.853613 \nL 247.40205 99.120771 \nL 247.564361 99.101166 \nL 247.726673 99.316803 \nL 247.986371 100.141215 \nL 248.343456 102.166919 \nL 248.862853 106.606831 \nL 249.739335 116.401111 \nL 254.511874 172.297188 \nL 254.934045 174.582227 \nL 255.226317 175.197875 \nL 255.388691 175.169496 \nL 255.583539 174.782833 \nL 255.843336 173.687815 \nL 256.233032 170.928461 \nL 256.817576 164.893052 \nL 257.986665 149.850923 \nL 261.786202 100.691405 \nL 262.273323 97.221317 \nL 262.598069 96.22401 \nL 262.760443 96.17046 \nL 262.922816 96.420543 \nL 263.150139 97.271216 \nL 263.50736 99.697962 \nL 264.026955 105.125129 \nL 264.936246 117.495436 \nL 268.963107 174.218427 \nL 269.417752 177.432054 \nL 269.710024 178.22484 \nL 269.839923 178.224228 \nL 270.002296 177.913456 \nL 270.229619 176.912925 \nL 270.58684 174.121645 \nL 271.106435 167.988806 \nL 272.11315 152.752723 \nL 275.685365 97.711137 \nL 276.140011 94.006493 \nL 276.432283 93.042472 \nL 276.562181 93.01204 \nL 276.69208 93.231487 \nL 276.919403 94.206231 \nL 277.24415 96.807402 \nL 277.73127 102.835197 \nL 278.608086 117.061992 \nL 282.212776 177.320016 \nL 282.634946 180.741462 \nL 282.894744 181.511759 \nL 283.024643 181.477925 \nL 283.187016 181.038515 \nL 283.446813 179.448562 \nL 283.83651 175.259754 \nL 284.421054 166.141147 \nL 286.077262 135.182648 \nL 288.318015 94.75885 \nL 288.772661 90.479962 \nL 289.032458 89.591862 \nL 289.162357 89.621308 \nL 289.32473 90.107611 \nL 289.584528 91.887498 \nL 289.974224 96.576298 \nL 290.591243 107.327006 \nL 292.637148 149.310979 \nL 294.163458 178.942013 \nL 294.618103 183.92135 \nL 294.877901 185.044387 \nL 294.975325 185.099969 \nL 295.007799 185.073181 \nL 295.137698 184.739642 \nL 295.365021 183.30485 \nL 295.689768 179.552353 \nL 296.209362 170.464013 \nL 297.410926 144.100258 \nL 299.879001 91.105187 \nL 300.301172 86.634864 \nL 300.528495 85.835117 \nL 300.625919 85.872651 \nL 300.755817 86.281532 \nL 300.98314 87.955964 \nL 301.340362 92.778293 \nL 301.892431 103.89707 \nL 303.54864 144.086394 \nL 305.237323 183.024858 \nL 305.659494 188.08364 \nL 305.886817 189.006876 \nL 305.984241 188.972686 \nL 306.11414 188.520844 \nL 306.341462 186.64638 \nL 306.698684 181.245712 \nL 307.283228 168.086433 \nL 309.361607 112.706999 \nL 310.368323 88.377945 \nL 310.790493 82.732435 \nL 311.017816 81.720569 \nL 311.11524 81.774167 \nL 311.245139 82.30594 \nL 311.472462 84.459558 \nL 311.829683 90.579231 \nL 312.414227 105.237364 \nL 315.596746 191.207562 \nL 315.889018 193.290293 \nL 315.953967 193.355809 \nL 315.986442 193.332579 \nL 316.116341 192.866337 \nL 316.311189 191.07398 \nL 316.635936 185.489823 \nL 317.155531 171.893108 \nL 318.876689 117.550106 \nL 320.013302 84.325987 \nL 320.402998 78.211952 \nL 320.630321 77.141424 \nL 320.695271 77.212782 \nL 320.825169 77.863568 \nL 321.052492 80.571214 \nL 321.409713 88.260198 \nL 322.059207 108.479482 \nL 324.657181 193.649979 \nL 324.981928 197.786286 \nL 325.111827 198.181437 \nL 325.144302 198.160261 \nL 325.241726 197.807054 \nL 325.436574 195.823958 \nL 325.728846 189.978273 \nL 326.215966 174.921548 \nL 327.872175 112.552884 \nL 328.846415 79.248097 \nL 329.203637 72.953728 \nL 329.398485 72.034314 \nL 329.495909 72.311078 \nL 329.658282 73.859168 \nL 329.918079 78.940101 \nL 330.34025 92.303978 \nL 331.476864 138.450749 \nL 333.003174 197.283748 \nL 333.327921 202.931415 \nL 333.490294 203.603178 \nL 333.587718 203.256862 \nL 333.750092 201.442128 \nL 334.009889 195.602717 \nL 334.464535 179.180049 \nL 335.925895 113.415971 \nL 336.900135 73.563263 \nL 337.224882 67.071832 \nL 337.387256 66.263137 \nL 337.452205 66.438893 \nL 337.582104 67.647451 \nL 337.809426 72.352852 \nL 338.199123 86.394415 \nL 339.140888 131.889305 \nL 340.667198 202.890893 \nL 340.991945 209.310652 \nL 341.089369 209.764996 \nL 341.121844 209.752771 \nL 341.219268 209.221314 \nL 341.381641 206.721198 \nL 341.673913 197.741268 \nL 342.193508 172.970823 \nL 344.369312 63.015924 \nL 344.629109 59.679505 \nL 344.694058 59.764633 \nL 344.823957 61.069624 \nL 345.05128 66.785135 \nL 345.440976 84.291608 \nL 346.545115 149.638677 \nL 347.649254 210.006419 \nL 347.941526 216.506532 \nL 348.03895 216.843403 \nL 348.071425 216.737243 \nL 348.201324 215.22212 \nL 348.428647 208.634345 \nL 348.818343 188.735024 \nL 350.084855 105.430749 \nL 350.896722 58.557877 \nL 351.188994 52.161011 \nL 351.253944 52.05133 \nL 351.286418 52.186883 \nL 351.416317 53.991587 \nL 351.64364 61.668929 \nL 352.033336 84.38962 \nL 354.176665 224.273619 \nL 354.274089 225.101345 \nL 354.306564 225.084776 \nL 354.403988 224.147725 \nL 354.566361 219.719102 \nL 354.858633 204.237281 \nL 355.540601 151.434155 \nL 356.904538 49.029127 \nL 357.164335 43.088421 \nL 357.19681 43.085908 \nL 357.294234 44.116522 \nL 357.456607 49.183896 \nL 357.74888 66.943373 \nL 358.495797 132.224754 \nL 359.664886 228.807498 \nL 359.892208 234.802144 \nL 359.924683 234.888413 \nL 359.957158 234.771378 \nL 360.054582 233.200774 \nL 360.24943 224.879255 \nL 360.606651 196.581494 \nL 362.425233 33.235936 \nL 362.522657 32.363612 \nL 362.555132 32.55126 \nL 362.685031 35.694559 \nL 362.912354 49.505422 \nL 363.366999 95.566481 \nL 364.76341 241.72106 \nL 364.958258 246.683891 \nL 365.023208 246.108235 \nL 365.153106 241.557773 \nL 365.380429 224.124559 \nL 365.932499 157.798715 \nL 367.069112 24.931572 \nL 367.263961 19.296 \nL 367.32891 20.094806 \nL 367.458809 25.758771 \nL 367.718606 50.589605 \nL 368.465524 156.49687 \nL 369.244916 255.533968 \nL 369.407289 261.216 \nL 369.439764 261.148005 \nL 369.537188 258.436044 \nL 369.732036 242.584599 \nL 369.82946 230.513248 \nL 369.82946 230.513248 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 28.942188 273.312 \nL 28.942188 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 386.062188 273.312 \nL 386.062188 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 28.942188 273.312 \nL 386.062188 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 28.942188 7.2 \nL 386.062188 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p154877efcd\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"28.942188\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.io\n",
+    "\n",
+    "scipy.io.savemat(\"Duffing_fitRandomSample.mat\", {\"x\": results_test_np})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
new file mode 100644
index 00000000..d4d98bad
--- /dev/null
+++ b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
@@ -0,0 +1,401 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "import numpy as np\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Duffing equation: Second order ODE system\n",
+    "dt = 0.01\n",
+    "\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x_\"]\n",
+    "\n",
+    "def x_prime_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"g\"]*torch.cos(coeffs[\"w\"]*prev_val[\"t\"]) - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n",
+    "\n",
+    "def t_prime(prev_val, coeffs):\n",
+    "    return 1\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"t\": t_prime}\n",
+    "\n",
+    "# Initial conditions [0,0,0]\n",
+    "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2, \"g\": 0.8, \"w\": 0.5}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
+       "        [3.9973e-05, 7.9920e-03, 1.0000e-02],\n",
+       "        [1.5979e-04, 1.5968e-02, 2.0000e-02],\n",
+       "        ...,\n",
+       "        [1.3451e-01, 1.5991e-01, 9.9701e+00],\n",
+       "        [1.3612e-01, 1.6162e-01, 9.9801e+00],\n",
+       "        [1.3774e-01, 1.6335e-01, 9.9901e+00]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 5
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:55:08.268586</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m1eb5974cbe\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.71554\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(51.53429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"119.710578\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(116.529328 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"184.705615\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(181.524365 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.700653\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(246.519403 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"314.695691\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(311.514441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"379.690729\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(373.328229 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m779729fcc1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"238.995879\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −1.5 -->\n      <g transform=\"translate(7.2 242.795098)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"201.621172\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −1.0 -->\n      <g transform=\"translate(7.2 205.420391)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"164.246466\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.5 -->\n      <g transform=\"translate(7.2 168.045684)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"126.871759\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 130.670978)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"89.497052\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.5 -->\n      <g transform=\"translate(15.579688 93.296271)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"52.122346\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(15.579688 55.921564)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"14.747639\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.5 -->\n      <g transform=\"translate(15.579688 18.546858)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p62fbd3b702)\" d=\"M 54.71554 126.871759 \nL 56.665391 126.76456 \nL 58.615241 126.444806 \nL 60.565093 125.915435 \nL 62.514946 125.179617 \nL 64.78977 124.064788 \nL 67.064594 122.67939 \nL 69.339418 121.02963 \nL 71.614243 119.122141 \nL 74.214042 116.635668 \nL 76.813841 113.833155 \nL 79.738615 110.31784 \nL 82.663389 106.4371 \nL 85.913138 101.722343 \nL 89.162889 96.615297 \nL 92.737612 90.589649 \nL 96.962286 82.996967 \nL 101.836909 73.751639 \nL 117.760678 43.109617 \nL 121.010431 37.538017 \nL 123.935205 32.965223 \nL 126.535004 29.333438 \nL 128.809828 26.543984 \nL 130.759677 24.474365 \nL 132.709526 22.726213 \nL 134.334401 21.529953 \nL 135.959275 20.581458 \nL 137.584149 19.889078 \nL 139.209024 19.459255 \nL 140.833898 19.296321 \nL 142.458773 19.40252 \nL 144.083647 19.777942 \nL 145.708521 20.420564 \nL 147.333396 21.32634 \nL 148.95827 22.489319 \nL 150.583145 23.901791 \nL 152.532994 25.912955 \nL 154.482843 28.251494 \nL 156.757667 31.365917 \nL 159.032492 34.862382 \nL 161.632291 39.278845 \nL 164.557064 44.717415 \nL 167.806813 51.25518 \nL 171.381537 58.938881 \nL 175.60621 68.541685 \nL 180.805808 80.946657 \nL 186.655403 95.488261 \nL 193.155055 112.261767 \nL 199.329725 128.80749 \nL 205.179412 145.09336 \nL 211.354082 162.966477 \nL 218.5037 184.407643 \nL 229.228127 216.648921 \nL 233.127918 227.623056 \nL 236.052762 235.267474 \nL 238.652623 241.489867 \nL 240.927501 246.392469 \nL 242.877397 250.128359 \nL 244.827293 253.383751 \nL 246.452206 255.698631 \nL 248.077119 257.628814 \nL 249.37705 258.883966 \nL 250.67698 259.874413 \nL 251.976911 260.594951 \nL 253.276841 261.042364 \nL 254.576772 261.215501 \nL 255.876702 261.115352 \nL 257.176633 260.744965 \nL 258.476563 260.109481 \nL 259.776494 259.215983 \nL 261.076424 258.073393 \nL 262.701338 256.311153 \nL 264.326251 254.200276 \nL 266.276146 251.245108 \nL 268.226042 247.877574 \nL 270.500921 243.499579 \nL 273.100782 238.011286 \nL 276.350608 230.612994 \nL 281.225347 218.878026 \nL 289.999878 197.693401 \nL 294.224652 188.11144 \nL 297.799461 180.506791 \nL 301.37427 173.427431 \nL 304.624096 167.474483 \nL 307.873923 161.990537 \nL 311.123749 156.973161 \nL 314.048593 152.847739 \nL 316.973421 149.07957 \nL 319.898264 145.653558 \nL 322.823108 142.552366 \nL 325.747952 139.757007 \nL 328.672795 137.247279 \nL 331.922622 134.768035 \nL 335.172448 132.585593 \nL 338.422274 130.669524 \nL 341.997083 128.832719 \nL 345.571892 127.239633 \nL 349.796666 125.614561 \nL 354.671406 124.001907 \nL 361.171058 122.118096 \nL 373.520398 118.585508 \nL 378.395137 116.936205 \nL 379.370085 116.57568 \nL 379.370085 116.57568 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482813 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p62fbd3b702\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,2], result_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0., \"g\": 0., \"w\": 1.}\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:55:09.891956</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m3f82b5a707\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf64d9a577a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p9d75420db5)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9d75420db5\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(8.9032e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0939, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.2094, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.2346, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.6090, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.2538, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(4.9188e-08, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0489, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.3273, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.1743, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.5939, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.1477, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(4.3954e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.2185, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.3450, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.3001, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.4604, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.2030, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(3.3049e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.3561, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.3772, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.0100, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.5225, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.2189, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(7.9197e-07, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.3269, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.4776, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.2438, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.5106, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.1436, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(3.3845e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.5730, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.2565, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.1418, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.3832, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.2320, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(1.0648e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.1834, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5642, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.1710, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8034, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.1777, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(3.9116e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.6395, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.3052, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.4333, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.3324, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.2096, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(8.1171e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.3244, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5010, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.0407, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.6752, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.2112, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(8.6279e-08, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.5913, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.2579, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.1300, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.4061, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.1630, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.1},\n",
+    "    max_epochs=10\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'a': Parameter containing:\n",
+       " tensor(-0.5913, requires_grad=True),\n",
+       " 'b': Parameter containing:\n",
+       " tensor(0.2579, requires_grad=True),\n",
+       " 'd': Parameter containing:\n",
+       " tensor(-0.1300, requires_grad=True),\n",
+       " 'g': Parameter containing:\n",
+       " tensor(0.4061, requires_grad=True),\n",
+       " 'w': Parameter containing:\n",
+       " tensor(1.1630, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 10
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs\n",
+    "\n",
+    "# The coefficients differ by at most 0.1 from the original with the exception of \"w\". THe graphs look similar.\n",
+    "# TODO: Investigate why \"w\" isn't learning"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt = 10000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 2.0315e-05,  4.0638e-03,  1.0000e-02],\n",
+       "        [ 8.1293e-05,  8.1327e-03,  2.0000e-02],\n",
+       "        ...,\n",
+       "        [-2.5672e+00, -2.0745e+03,  9.9973e+01],\n",
+       "        [-2.3307e+01, -2.0681e+03,  9.9983e+01],\n",
+       "        [-4.3622e+01, -1.9648e+03,  9.9993e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 11
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(10000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 399.624687 297.190125\" width=\"399.624687pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T19:00:20.434921</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 399.624687 297.190125 \nL 399.624687 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 35.304688 273.312 \nL 392.424688 273.312 \nL 392.424688 7.2 \nL 35.304688 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"macdbf88d51\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.537415\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(48.356165 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"116.472902\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 20 -->\n      <g transform=\"translate(110.110402 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"181.408388\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 40 -->\n      <g transform=\"translate(175.045888 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"246.343875\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 60 -->\n      <g transform=\"translate(239.981375 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"311.279362\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 80 -->\n      <g transform=\"translate(304.916862 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"376.214849\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 100 -->\n      <g transform=\"translate(366.671099 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m7d1ed529b0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"269.185453\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −80 -->\n      <g transform=\"translate(7.2 272.984672)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"237.11892\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −60 -->\n      <g transform=\"translate(7.2 240.918139)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"205.052387\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −40 -->\n      <g transform=\"translate(7.2 208.851606)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"172.985854\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −20 -->\n      <g transform=\"translate(7.2 176.785073)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"140.919321\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0 -->\n      <g transform=\"translate(21.942187 144.71854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"108.852788\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(15.579687 112.652007)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"76.786255\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 40 -->\n      <g transform=\"translate(15.579687 80.585474)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"44.719722\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 60 -->\n      <g transform=\"translate(15.579687 48.518941)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"12.653189\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 80 -->\n      <g transform=\"translate(15.579687 16.452408)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pe2998799f4)\" d=\"M 51.537415 140.919321 \nL 53.420543 140.80929 \nL 55.433541 140.464812 \nL 57.933555 139.797424 \nL 64.199824 138.009609 \nL 65.888178 137.850188 \nL 67.738881 137.912265 \nL 75.49885 138.670245 \nL 78.193733 139.101129 \nL 84.46015 140.2447 \nL 86.083575 140.222039 \nL 87.544657 139.979079 \nL 88.97327 139.510792 \nL 90.531757 138.754366 \nL 93.324047 137.343324 \nL 94.200696 137.191381 \nL 95.012409 137.277541 \nL 95.889058 137.606621 \nL 97.025455 138.294444 \nL 99.557997 140.177094 \nL 103.551621 143.326046 \nL 105.239982 144.583784 \nL 106.084162 144.952018 \nL 106.798469 145.028754 \nL 107.512776 144.870858 \nL 108.324488 144.448816 \nL 109.590759 143.498413 \nL 112.318112 141.430552 \nL 115.987051 139.106863 \nL 119.42871 136.934977 \nL 120.240423 136.747572 \nL 120.987198 136.802814 \nL 121.79891 137.098716 \nL 122.87037 137.749067 \nL 129.656284 142.565476 \nL 131.279708 144.19379 \nL 132.545979 145.367191 \nL 133.227817 145.710943 \nL 133.779781 145.747056 \nL 134.331746 145.548326 \nL 134.981115 145.050217 \nL 135.890233 144.034623 \nL 137.870811 141.393181 \nL 139.559172 138.846892 \nL 141.669624 135.567496 \nL 142.189119 135.204653 \nL 142.578741 135.175761 \nL 142.968363 135.367041 \nL 143.45539 135.883828 \nL 144.137229 136.976214 \nL 145.565842 139.798368 \nL 147.481483 143.979707 \nL 148.780222 146.745715 \nL 149.26725 147.327608 \nL 149.624403 147.45438 \nL 149.949088 147.324644 \nL 150.33871 146.878817 \nL 150.858205 145.900345 \nL 151.83226 143.485906 \nL 154.429739 136.351443 \nL 155.241451 134.435252 \nL 155.663498 133.912993 \nL 155.955659 133.8345 \nL 156.247819 134.004083 \nL 156.604905 134.522599 \nL 157.124301 135.737317 \nL 158.228019 139.067785 \nL 161.149626 147.86265 \nL 161.539173 148.302252 \nL 161.798872 148.31674 \nL 162.05857 148.101155 \nL 162.415655 147.466757 \nL 162.967514 145.936227 \nL 164.33093 141.229907 \nL 166.538366 133.820245 \nL 166.927914 133.258556 \nL 167.187612 133.201242 \nL 167.447311 133.411683 \nL 167.771934 134.01906 \nL 168.29133 135.575638 \nL 169.427511 139.936852 \nL 171.732333 148.691181 \nL 172.056956 149.142505 \nL 172.284192 149.160979 \nL 172.511428 148.926842 \nL 172.836051 148.196354 \nL 173.355448 146.336161 \nL 174.589015 140.76809 \nL 176.439366 132.555968 \nL 176.763989 132.008772 \nL 176.958763 131.983939 \nL 177.153536 132.19541 \nL 177.445697 132.91814 \nL 177.900169 134.755739 \nL 179.003887 140.493962 \nL 180.821776 149.742683 \nL 181.146399 150.365791 \nL 181.341172 150.375171 \nL 181.535946 150.102431 \nL 181.828107 149.219186 \nL 182.315041 146.874507 \nL 183.775844 138.184347 \nL 184.879562 132.060124 \nL 185.236648 131.142024 \nL 185.431421 131.071223 \nL 185.593733 131.259893 \nL 185.853431 131.996066 \nL 186.275441 134.049242 \nL 187.281772 140.491664 \nL 188.904887 150.578525 \nL 189.197047 151.2553 \nL 189.359359 151.275634 \nL 189.52167 151.032716 \nL 189.781369 150.144463 \nL 190.203379 147.753779 \nL 191.339559 139.516245 \nL 192.605588 130.765316 \nL 192.897749 129.968277 \nL 193.06006 129.946296 \nL 193.222372 130.236521 \nL 193.48207 131.285618 \nL 193.936542 134.299243 \nL 195.46227 146.811739 \nL 196.143978 151.537405 \nL 196.436139 152.349843 \nL 196.565988 152.352522 \nL 196.7283 152.035944 \nL 196.987998 150.86678 \nL 197.44247 147.520679 \nL 199.714831 129.168723 \nL 199.877142 129.010634 \nL 199.909604 129.027653 \nL 200.039454 129.256767 \nL 200.26669 130.231472 \nL 200.656237 133.13547 \nL 201.792417 144.116517 \nL 202.733824 152.482203 \nL 202.993522 153.378313 \nL 203.123372 153.395272 \nL 203.285683 152.999049 \nL 203.545381 151.514897 \nL 204.032316 147.022612 \nL 205.947591 128.25149 \nL 206.142365 127.916434 \nL 206.272214 128.113595 \nL 206.466988 129.006741 \nL 206.824073 132.038347 \nL 207.830404 143.494197 \nL 208.771811 153.372206 \nL 209.031509 154.351367 \nL 209.128896 154.343793 \nL 209.258745 154.006148 \nL 209.485981 152.605263 \nL 209.907991 148.225915 \nL 211.790804 127.061333 \nL 211.920653 126.892647 \nL 211.953115 126.917193 \nL 212.082965 127.279058 \nL 212.310201 128.825362 \nL 212.73221 133.646171 \nL 214.485174 155.155337 \nL 214.647486 155.441661 \nL 214.744873 155.258082 \nL 214.939646 154.138053 \nL 215.296732 150.193324 \nL 217.212007 125.954075 \nL 217.276932 125.931095 \nL 217.309394 125.969039 \nL 217.439243 126.44302 \nL 217.666479 128.364491 \nL 218.153414 135.094031 \nL 219.614217 155.945979 \nL 219.808991 156.473688 \nL 219.906377 156.247325 \nL 220.101151 154.876695 \nL 220.458236 150.158414 \nL 222.178738 124.948582 \nL 222.243663 124.877389 \nL 222.276125 124.90238 \nL 222.405974 125.399513 \nL 222.63321 127.611222 \nL 223.120144 135.415246 \nL 224.418636 156.694578 \nL 224.61341 157.455887 \nL 224.710797 157.24793 \nL 224.873108 156.06601 \nL 225.197731 151.429372 \nL 226.885771 123.84253 \nL 226.950695 123.874665 \nL 227.080544 124.514247 \nL 227.30778 127.207569 \nL 227.859639 137.584105 \nL 228.963357 157.753994 \nL 229.125669 158.474176 \nL 229.158131 158.461737 \nL 229.255518 158.108009 \nL 229.450292 156.110883 \nL 229.839839 148.9771 \nL 231.170793 123.267141 \nL 231.300643 122.838075 \nL 231.333105 122.874872 \nL 231.462954 123.590087 \nL 231.69019 126.693759 \nL 232.274511 139.214649 \nL 233.24838 158.880432 \nL 233.410692 159.517224 \nL 233.508078 159.148845 \nL 233.702852 156.878624 \nL 234.0924 148.743206 \nL 235.325967 122.242133 \nL 235.455816 121.849173 \nL 235.488278 121.921107 \nL 235.618128 122.869483 \nL 235.877826 127.294549 \nL 236.689383 147.43376 \nL 237.273705 159.750995 \nL 237.436016 160.537887 \nL 237.533403 160.129739 \nL 237.728177 157.524173 \nL 238.150186 147.446972 \nL 239.221442 121.520335 \nL 239.351291 120.809293 \nL 239.383754 120.829039 \nL 239.481141 121.363952 \nL 239.675914 124.312477 \nL 240.130386 136.012239 \nL 241.104255 160.737803 \nL 241.234104 161.53326 \nL 241.266567 161.519662 \nL 241.363954 160.965624 \nL 241.558727 157.836512 \nL 242.045662 144.508904 \nL 242.954606 120.497746 \nL 243.084455 119.771672 \nL 243.116917 119.820506 \nL 243.214304 120.516412 \nL 243.409078 124.024175 \nL 243.928475 139.220535 \nL 244.772494 162.027243 \nL 244.869881 162.544576 \nL 244.902344 162.518865 \nL 244.99973 161.850394 \nL 245.194504 158.225463 \nL 245.713901 142.288333 \nL 246.525458 119.304062 \nL 246.622845 118.760498 \nL 246.655307 118.792378 \nL 246.752694 119.52276 \nL 246.947468 123.417044 \nL 247.499327 141.337979 \nL 248.213498 162.712018 \nL 248.343347 163.575983 \nL 248.375809 163.508296 \nL 248.473196 162.631396 \nL 248.700432 157.397555 \nL 249.479527 130.13527 \nL 249.901537 118.473225 \nL 249.998924 117.768398 \nL 250.063848 117.906402 \nL 250.193697 119.592371 \nL 250.453396 126.994058 \nL 251.622038 164.561089 \nL 251.654501 164.603632 \nL 251.686963 164.51452 \nL 251.816812 162.898724 \nL 252.076511 155.26156 \nL 253.212691 116.834754 \nL 253.245153 116.747496 \nL 253.277615 116.800308 \nL 253.375002 117.77999 \nL 253.569776 122.783352 \nL 254.251484 149.808335 \nL 254.738419 165.200314 \nL 254.803343 165.610382 \nL 254.868268 165.426461 \nL 254.998117 163.362533 \nL 255.290278 153.293311 \nL 256.296609 115.936836 \nL 256.361533 115.733226 \nL 256.393996 115.869027 \nL 256.523845 117.910343 \nL 256.816005 128.344125 \nL 257.789874 166.308208 \nL 257.854799 166.627352 \nL 257.887261 166.534818 \nL 257.984648 165.277184 \nL 258.211884 157.949878 \nL 259.315602 114.706767 \nL 259.348064 114.73593 \nL 259.445488 115.874024 \nL 259.640336 121.969886 \nL 260.77695 167.63377 \nL 260.8419 167.198088 \nL 261.004273 163.163347 \nL 261.426444 143.690887 \nL 262.108412 114.297841 \nL 262.205836 113.702071 \nL 262.238311 113.902312 \nL 262.36821 116.565273 \nL 262.660482 129.314346 \nL 263.537298 168.463204 \nL 263.569773 168.640978 \nL 263.602247 168.607146 \nL 263.699671 167.264575 \nL 263.926994 158.629041 \nL 264.933709 112.683392 \nL 264.966184 112.706695 \nL 265.063608 114.089343 \nL 265.258456 121.495536 \nL 266.297646 169.665084 \nL 266.33012 169.474305 \nL 266.460019 166.514376 \nL 266.752291 152.107704 \nL 267.564158 111.854408 \nL 267.596633 111.665658 \nL 267.629108 111.725701 \nL 267.726532 113.356003 \nL 267.953854 123.368972 \nL 268.89562 170.696524 \nL 268.960569 170.236613 \nL 269.090468 166.45903 \nL 269.44769 146.416255 \nL 270.129658 110.878108 \nL 270.162133 110.657757 \nL 270.194607 110.71291 \nL 270.292031 112.483777 \nL 270.519354 123.379693 \nL 271.428645 171.710631 \nL 271.493594 171.032466 \nL 271.655968 164.997144 \nL 272.240512 127.607572 \nL 272.597733 110.070537 \nL 272.662683 109.640687 \nL 272.695157 109.881421 \nL 272.825056 113.642205 \nL 273.149803 133.45435 \nL 273.831771 172.573071 \nL 273.864246 172.726989 \nL 273.896721 172.56083 \nL 273.994145 170.232329 \nL 274.253942 155.334895 \nL 275.033334 108.679381 \nL 275.065809 108.626895 \nL 275.163233 110.437613 \nL 275.390556 122.909228 \nL 276.202423 173.636851 \nL 276.234898 173.726961 \nL 276.299847 172.860695 \nL 276.46222 165.578742 \nL 277.371511 107.603106 \nL 277.436461 108.119256 \nL 277.566359 113.119695 \nL 277.98853 143.876022 \nL 278.47565 174.427376 \nL 278.508125 174.733028 \nL 278.5406 174.654073 \nL 278.638024 172.193686 \nL 278.865347 157.732824 \nL 279.612264 106.689361 \nL 279.644739 106.580767 \nL 279.709688 107.562761 \nL 279.872062 115.794258 \nL 280.748878 175.750758 \nL 280.781353 175.428266 \nL 280.911251 170.343203 \nL 281.300947 139.528243 \nL 281.788068 105.87419 \nL 281.820542 105.565566 \nL 281.853017 105.696544 \nL 281.950441 108.607687 \nL 282.210239 127.63378 \nL 282.892207 176.775883 \nL 282.957156 176.038195 \nL 283.11953 167.431403 \nL 283.963871 104.564404 \nL 284.028821 105.78048 \nL 284.191194 115.484143 \nL 285.003061 177.79147 \nL 285.035536 177.433384 \nL 285.165434 171.536906 \nL 285.587605 133.586411 \nL 286.009776 103.576328 \nL 286.042251 103.623463 \nL 286.139675 106.758101 \nL 286.399472 128.229358 \nL 287.016491 178.720788 \nL 287.048966 178.779161 \nL 287.14639 175.810761 \nL 287.373713 157.111947 \nL 288.023206 102.561145 \nL 288.055681 102.624316 \nL 288.153105 106.046303 \nL 288.412902 128.968478 \nL 288.997446 179.66576 \nL 289.029921 179.819747 \nL 289.094871 178.388048 \nL 289.257244 166.84511 \nL 290.004162 101.523026 \nL 290.036636 101.985286 \nL 290.166535 109.178326 \nL 290.68613 163.409909 \nL 290.945927 180.814591 \nL 290.978402 180.708441 \nL 291.075826 176.781409 \nL 291.368098 147.973169 \nL 291.887693 100.584384 \nL 291.920168 100.551925 \nL 292.017592 104.242933 \nL 292.277389 129.886742 \nL 292.829459 181.807588 \nL 292.861933 181.738903 \nL 292.959357 177.636935 \nL 293.251629 147.217472 \nL 293.771224 99.471293 \nL 293.836174 101.020069 \nL 293.998547 114.397945 \nL 294.680515 182.874673 \nL 294.71299 182.534193 \nL 294.810414 177.439045 \nL 295.135161 140.74846 \nL 295.589806 98.460018 \nL 295.654756 100.199149 \nL 295.817129 114.569266 \nL 296.466623 183.850027 \nL 296.499097 183.702914 \nL 296.596521 178.807133 \nL 296.921268 140.524197 \nL 297.343439 97.522963 \nL 297.375914 97.553602 \nL 297.473338 102.301059 \nL 297.76561 137.098958 \nL 298.220255 184.867507 \nL 298.25273 184.693263 \nL 298.350154 179.413965 \nL 298.674901 139.049943 \nL 299.097072 96.435713 \nL 299.162021 98.472706 \nL 299.356869 119.009498 \nL 299.941413 185.920091 \nL 300.006363 184.19952 \nL 300.168736 167.968311 \nL 300.785755 95.408533 \nL 300.81823 95.910958 \nL 300.948128 106.026682 \nL 301.630097 186.860029 \nL 301.695046 184.213036 \nL 301.889894 161.315642 \nL 302.441964 94.395909 \nL 302.506913 96.454315 \nL 302.669286 114.37192 \nL 303.253831 187.953209 \nL 303.286305 187.471255 \nL 303.416204 176.605027 \nL 304.065698 93.394686 \nL 304.130647 95.819331 \nL 304.325495 119.983807 \nL 304.84509 188.886188 \nL 304.877565 188.761686 \nL 304.974989 182.218692 \nL 305.33221 128.10421 \nL 305.656957 92.428488 \nL 305.754381 98.329357 \nL 306.079128 147.83113 \nL 306.436349 189.932738 \nL 306.501299 186.964632 \nL 306.696147 160.441615 \nL 307.183267 91.497877 \nL 307.215742 91.511091 \nL 307.313166 98.350663 \nL 307.670387 156.061233 \nL 307.962659 190.997297 \nL 308.027609 188.615842 \nL 308.222457 161.717725 \nL 308.709577 90.408641 \nL 308.742051 90.623947 \nL 308.839475 98.375929 \nL 309.261646 170.250219 \nL 309.456494 191.902862 \nL 309.488969 191.773792 \nL 309.586393 184.028116 \nL 310.008564 110.762692 \nL 310.203412 89.362012 \nL 310.235887 89.712519 \nL 310.333311 98.212663 \nL 310.95033 193.010538 \nL 311.047754 186.473519 \nL 311.3725 129.090602 \nL 311.664773 88.354177 \nL 311.697247 88.70515 \nL 311.794671 97.637125 \nL 312.379216 193.892421 \nL 312.47664 189.332643 \nL 312.736437 143.695676 \nL 313.093658 87.42038 \nL 313.126133 87.558337 \nL 313.223557 96.419707 \nL 313.808101 195.027198 \nL 313.905525 189.048411 \nL 314.197798 134.06394 \nL 314.522544 86.334484 \nL 314.587494 90.322874 \nL 314.814816 131.343497 \nL 315.204513 196.057901 \nL 315.269462 193.091027 \nL 315.46431 159.284554 \nL 315.886481 85.319279 \nL 315.918956 85.737646 \nL 316.01638 96.209435 \nL 316.568449 197.033515 \nL 316.633399 194.360268 \nL 316.828247 159.569076 \nL 317.250417 84.249482 \nL 317.315367 87.747835 \nL 317.510215 124.163651 \nL 317.932386 197.949973 \nL 318.02981 188.222604 \nL 318.581879 83.237035 \nL 318.679303 91.188647 \nL 319.036525 169.712011 \nL 319.231373 199.0433 \nL 319.263848 198.567386 \nL 319.361272 186.71095 \nL 319.880866 82.325739 \nL 319.945816 85.024001 \nL 320.140664 123.324532 \nL 320.53036 200.079691 \nL 320.562835 199.468542 \nL 320.660259 186.777519 \nL 321.179854 81.217807 \nL 321.244803 85.650221 \nL 321.472126 135.254646 \nL 321.796873 200.894627 \nL 321.829347 200.831966 \nL 321.926771 188.861925 \nL 322.446366 80.221232 \nL 322.511315 85.141977 \nL 322.738638 136.948234 \nL 323.063385 202.142571 \nL 323.09586 201.188089 \nL 323.225758 179.256723 \nL 323.680404 79.210927 \nL 323.712879 80.03615 \nL 323.842777 102.066692 \nL 324.297423 203.159115 \nL 324.329897 202.098168 \nL 324.459796 179.050775 \nL 324.914442 78.215453 \nL 324.946916 79.891868 \nL 325.076815 104.824432 \nL 325.498986 203.954222 \nL 325.531461 203.747647 \nL 325.628885 189.705267 \nL 326.116005 77.179545 \nL 326.180954 82.771806 \nL 326.440752 149.746361 \nL 326.700549 205.14194 \nL 326.733024 204.309555 \nL 326.862922 180.049769 \nL 327.285093 76.313454 \nL 327.317568 76.716989 \nL 327.414992 92.120042 \nL 327.869638 206.00276 \nL 327.934587 202.620834 \nL 328.129435 153.636436 \nL 328.454182 75.230115 \nL 328.486656 75.908274 \nL 328.58408 92.539693 \nL 329.038726 207.210184 \nL 329.103675 201.660272 \nL 329.363473 129.244616 \nL 329.62327 74.334818 \nL 329.720694 89.296758 \nL 330.17534 208.206074 \nL 330.240289 202.925519 \nL 330.467612 138.692549 \nL 330.727409 73.423265 \nL 330.759884 73.581173 \nL 330.857308 90.387761 \nL 331.311954 209.057548 \nL 331.344428 206.458288 \nL 331.506802 164.213855 \nL 331.864023 72.191039 \nL 331.961447 87.391988 \nL 332.416093 210.120073 \nL 332.481042 202.118798 \nL 332.805789 99.714757 \nL 332.968162 71.399994 \nL 333.000637 74.486849 \nL 333.195485 130.617338 \nL 333.487757 211.105565 \nL 333.520232 210.388244 \nL 333.65013 180.540732 \nL 334.039827 70.096227 \nL 334.072301 72.219987 \nL 334.234675 116.758403 \nL 334.559421 212.005559 \nL 334.591896 211.56595 \nL 334.68932 191.699211 \nL 335.111491 69.186729 \nL 335.143966 71.932832 \nL 335.306339 119.122393 \nL 335.631086 213.275846 \nL 335.663561 211.395736 \nL 335.793459 176.877935 \nL 336.150681 68.093977 \nL 336.183155 69.484735 \nL 336.313054 103.503423 \nL 336.670276 214.231876 \nL 336.70275 212.920219 \nL 336.832649 178.528106 \nL 337.18987 67.062375 \nL 337.222345 68.727328 \nL 337.352244 104.417551 \nL 337.709465 215.271484 \nL 337.74194 212.808023 \nL 337.904313 162.6712 \nL 338.22906 66.384944 \nL 338.326484 87.135444 \nL 338.71618 216.225961 \nL 338.78113 209.589639 \nL 339.040927 114.597147 \nL 339.235775 65.250345 \nL 339.26825 68.733255 \nL 339.463098 135.936133 \nL 339.722895 217.300529 \nL 339.75537 215.420273 \nL 339.885269 176.482403 \nL 340.210016 64.322651 \nL 340.24249 64.944498 \nL 340.339914 89.418544 \nL 340.729611 217.853728 \nL 340.762085 213.590494 \nL 340.956933 142.28779 \nL 341.216731 63.321202 \nL 341.314155 85.966001 \nL 341.703851 219.00437 \nL 341.736326 214.945001 \nL 341.931174 142.13001 \nL 342.190971 62.550443 \nL 342.288395 87.132624 \nL 342.645617 220.056498 \nL 342.710566 213.646206 \nL 342.970363 108.18814 \nL 343.132737 61.008175 \nL 343.165211 63.32177 \nL 343.327585 121.473965 \nL 343.619857 221.032907 \nL 343.652332 216.770903 \nL 343.84718 139.817719 \nL 344.074502 60.085943 \nL 344.106977 61.755948 \nL 344.236876 105.657838 \nL 344.561623 221.947237 \nL 344.594097 217.325869 \nL 344.788945 137.852285 \nL 345.016268 58.997142 \nL 345.048743 61.905049 \nL 345.211116 124.363761 \nL 345.470914 223.210576 \nL 345.503388 221.662228 \nL 345.633287 176.105779 \nL 345.925559 58.428225 \nL 345.958034 59.036402 \nL 346.087933 103.356496 \nL 346.380205 223.686833 \nL 346.412679 223.563891 \nL 346.510103 194.424036 \nL 346.83485 57.66609 \nL 346.8998 63.562804 \nL 347.159597 181.302768 \nL 347.289496 224.875725 \nL 347.32197 224.269047 \nL 347.451869 177.969387 \nL 347.744141 56.151583 \nL 347.776616 57.7645 \nL 347.906515 106.699162 \nL 348.198787 226.354116 \nL 348.231261 223.216913 \nL 348.393635 154.546428 \nL 348.653432 55.343388 \nL 348.685907 60.489894 \nL 348.91323 166.454749 \nL 349.075603 227.142024 \nL 349.108078 225.587395 \nL 349.237976 174.750939 \nL 349.530249 54.151186 \nL 349.562723 58.802053 \nL 349.757571 149.487498 \nL 349.952419 228.205657 \nL 349.984894 226.29693 \nL 350.114793 173.448453 \nL 350.407065 53.600697 \nL 350.43954 59.657802 \nL 350.699337 188.943286 \nL 350.829236 229.28532 \nL 350.86171 224.956606 \nL 351.056558 131.572387 \nL 351.251407 52.001854 \nL 351.283881 54.977204 \nL 351.446255 129.473077 \nL 351.673577 230.196983 \nL 351.706052 228.131602 \nL 351.835951 172.22953 \nL 352.095748 51.256851 \nL 352.128223 52.896661 \nL 352.258122 108.753895 \nL 352.517919 231.090145 \nL 352.550394 229.365436 \nL 352.680292 172.644722 \nL 352.94009 50.120429 \nL 352.972565 52.459199 \nL 353.134938 129.50105 \nL 353.362261 232.339136 \nL 353.394735 228.847975 \nL 353.557109 148.990297 \nL 353.784432 49.12961 \nL 353.816906 54.299884 \nL 354.011754 156.607802 \nL 354.206602 232.457747 \nL 354.239077 225.133958 \nL 354.596299 48.120644 \nL 354.693723 75.595136 \nL 355.018469 234.068383 \nL 355.050944 228.123957 \nL 355.278267 101.817145 \nL 355.408166 47.282877 \nL 355.44064 49.283482 \nL 355.570539 111.591466 \nL 355.830336 234.941294 \nL 355.862811 228.446275 \nL 356.122608 79.634395 \nL 356.220032 46.047838 \nL 356.252507 49.597959 \nL 356.414881 136.098344 \nL 356.609729 235.649251 \nL 356.642203 234.714566 \nL 356.772102 171.970964 \nL 357.031899 45.599183 \nL 357.064374 52.854477 \nL 357.421596 237.168932 \nL 357.486545 218.197263 \nL 357.811292 44.055973 \nL 357.876241 61.442731 \nL 358.200988 238.285396 \nL 358.265937 221.62758 \nL 358.590684 43.062475 \nL 358.655633 59.920047 \nL 358.98038 239.26457 \nL 359.04533 221.247237 \nL 359.370076 42.193454 \nL 359.435026 62.310443 \nL 359.759773 239.715989 \nL 359.792247 231.910677 \nL 360.116994 42.027234 \nL 360.214418 69.425854 \nL 360.50669 241.134019 \nL 360.539165 237.577531 \nL 360.701538 140.24781 \nL 360.896386 40.335681 \nL 360.928861 47.331862 \nL 361.253608 241.439909 \nL 361.351032 211.786195 \nL 361.643304 39.166183 \nL 361.675779 45.062541 \nL 361.903101 194.856286 \nL 362.000525 242.3029 \nL 362.065475 230.447876 \nL 362.390222 38.305204 \nL 362.455171 60.864267 \nL 362.747443 243.920141 \nL 362.812392 227.889945 \nL 363.137139 38.402648 \nL 363.169614 48.578185 \nL 363.494361 244.911749 \nL 363.55931 220.809152 \nL 363.851582 36.21663 \nL 363.884057 41.638451 \nL 364.078905 175.398104 \nL 364.208804 245.919932 \nL 364.241278 242.258074 \nL 364.403652 134.428606 \nL 364.566025 35.749107 \nL 364.5985 38.164813 \nL 364.760873 145.281035 \nL 364.923247 246.327822 \nL 364.955721 244.605192 \nL 365.08562 162.769127 \nL 365.280468 35.087468 \nL 365.312943 36.69548 \nL 365.442841 119.210252 \nL 365.637689 247.382941 \nL 365.670164 245.292556 \nL 365.832538 135.42113 \nL 365.994911 33.674613 \nL 366.027386 36.857975 \nL 366.189759 149.375018 \nL 366.352132 248.934169 \nL 366.384607 244.045401 \nL 366.579455 101.947864 \nL 366.709354 32.395873 \nL 366.741829 39.580323 \nL 367.066575 249.332665 \nL 367.131525 219.878247 \nL 367.391322 32.490833 \nL 367.456272 46.887941 \nL 367.748544 250.872701 \nL 367.813493 228.832831 \nL 368.105765 31.002393 \nL 368.13824 41.115589 \nL 368.430512 251.285117 \nL 368.495461 233.570126 \nL 368.787733 29.687972 \nL 368.852683 58.048586 \nL 369.11248 252.095306 \nL 369.17743 234.65886 \nL 369.469702 28.913819 \nL 369.502176 38.792843 \nL 369.794448 253.552015 \nL 369.859398 232.046371 \nL 370.15167 29.159715 \nL 370.184145 42.237564 \nL 370.476417 254.553678 \nL 370.541366 224.984441 \nL 370.801163 26.773355 \nL 370.866113 50.219237 \nL 371.12591 254.682302 \nL 371.19086 236.938993 \nL 371.483132 27.249918 \nL 371.515606 40.758977 \nL 371.807879 255.897384 \nL 371.872828 221.573188 \nL 372.132625 25.066298 \nL 372.1651 35.40145 \nL 372.457372 257.404809 \nL 372.522321 226.370031 \nL 372.782119 23.921417 \nL 372.814594 33.099518 \nL 373.106866 258.361799 \nL 373.171815 227.043584 \nL 373.431612 23.12587 \nL 373.464087 33.451212 \nL 373.756359 258.871401 \nL 373.821309 223.478325 \nL 374.081106 23.180708 \nL 374.113581 36.939688 \nL 374.373378 258.531059 \nL 374.438328 241.608735 \nL 374.698125 21.632097 \nL 374.763074 44.807086 \nL 375.022872 261.216 \nL 375.087821 230.982726 \nL 375.347619 20.789039 \nL 375.380093 33.520925 \nL 375.639891 260.58082 \nL 375.70484 241.686099 \nL 375.964637 19.296 \nL 376.029587 48.938571 \nL 376.19196 210.859168 \nL 376.19196 210.859168 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 35.304688 273.312 \nL 35.304688 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 392.424688 273.312 \nL 392.424688 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 35.304688 273.312 \nL 392.424688 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 35.304688 7.2 \nL 392.424688 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe2998799f4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"35.304688\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.io\n",
+    "\n",
+    "scipy.io.savemat(\"Duffing_fitRandomSample.mat\", {\"x\": results_test_np})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb b/examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb
new file mode 100644
index 00000000..b8ce686f
--- /dev/null
+++ b/examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb
@@ -0,0 +1,715 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "import numpy as np\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Duffing equation: Second order ODE system\n",
+    "dt = 0.01\n",
+    "\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x_\"]\n",
+    "\n",
+    "def x_prime_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"g\"]*torch.cos(coeffs[\"w\"]*prev_val[\"t\"]) - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n",
+    "\n",
+    "def t_prime(prev_val, coeffs):\n",
+    "    return 1\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"t\": t_prime}\n",
+    "\n",
+    "# Initial conditions [0,0,0]\n",
+    "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2, \"g\": 0.8, \"w\": 0.5}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
+       "        [3.9973e-05, 7.9920e-03, 1.0000e-02],\n",
+       "        [1.5979e-04, 1.5968e-02, 2.0000e-02],\n",
+       "        ...,\n",
+       "        [1.3451e-01, 1.5991e-01, 9.9701e+00],\n",
+       "        [1.3612e-01, 1.6162e-01, 9.9801e+00],\n",
+       "        [1.3774e-01, 1.6335e-01, 9.9901e+00]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 12
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:43:55.258269</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m4a731bc3da\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.71554\" xlink:href=\"#m4a731bc3da\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(51.53429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"119.710578\" xlink:href=\"#m4a731bc3da\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(116.529328 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"184.705615\" xlink:href=\"#m4a731bc3da\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(181.524365 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.700653\" xlink:href=\"#m4a731bc3da\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(246.519403 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"314.695691\" xlink:href=\"#m4a731bc3da\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(311.514441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"379.690729\" xlink:href=\"#m4a731bc3da\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(373.328229 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mfe9c224df6\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe9c224df6\" y=\"238.995879\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −1.5 -->\n      <g transform=\"translate(7.2 242.795098)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe9c224df6\" y=\"201.621172\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −1.0 -->\n      <g transform=\"translate(7.2 205.420391)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe9c224df6\" y=\"164.246466\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.5 -->\n      <g transform=\"translate(7.2 168.045684)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe9c224df6\" y=\"126.871759\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 130.670978)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe9c224df6\" y=\"89.497052\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.5 -->\n      <g transform=\"translate(15.579688 93.296271)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe9c224df6\" y=\"52.122346\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(15.579688 55.921564)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe9c224df6\" y=\"14.747639\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.5 -->\n      <g transform=\"translate(15.579688 18.546858)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pfd9a2e9473)\" d=\"M 54.71554 126.871759 \nL 56.665391 126.76456 \nL 58.615241 126.444806 \nL 60.565093 125.915435 \nL 62.514946 125.179617 \nL 64.78977 124.064788 \nL 67.064594 122.67939 \nL 69.339418 121.02963 \nL 71.614243 119.122141 \nL 74.214042 116.635668 \nL 76.813841 113.833155 \nL 79.738615 110.31784 \nL 82.663389 106.4371 \nL 85.913138 101.722343 \nL 89.162889 96.615297 \nL 92.737612 90.589649 \nL 96.962286 82.996967 \nL 101.836909 73.751639 \nL 117.760678 43.109617 \nL 121.010431 37.538017 \nL 123.935205 32.965223 \nL 126.535004 29.333438 \nL 128.809828 26.543984 \nL 130.759677 24.474365 \nL 132.709526 22.726213 \nL 134.334401 21.529953 \nL 135.959275 20.581458 \nL 137.584149 19.889078 \nL 139.209024 19.459255 \nL 140.833898 19.296321 \nL 142.458773 19.40252 \nL 144.083647 19.777942 \nL 145.708521 20.420564 \nL 147.333396 21.32634 \nL 148.95827 22.489319 \nL 150.583145 23.901791 \nL 152.532994 25.912955 \nL 154.482843 28.251494 \nL 156.757667 31.365917 \nL 159.032492 34.862382 \nL 161.632291 39.278845 \nL 164.557064 44.717415 \nL 167.806813 51.25518 \nL 171.381537 58.938881 \nL 175.60621 68.541685 \nL 180.805808 80.946657 \nL 186.655403 95.488261 \nL 193.155055 112.261767 \nL 199.329725 128.80749 \nL 205.179412 145.09336 \nL 211.354082 162.966477 \nL 218.5037 184.407643 \nL 229.228127 216.648921 \nL 233.127918 227.623056 \nL 236.052762 235.267474 \nL 238.652623 241.489867 \nL 240.927501 246.392469 \nL 242.877397 250.128359 \nL 244.827293 253.383751 \nL 246.452206 255.698631 \nL 248.077119 257.628814 \nL 249.37705 258.883966 \nL 250.67698 259.874413 \nL 251.976911 260.594951 \nL 253.276841 261.042364 \nL 254.576772 261.215501 \nL 255.876702 261.115352 \nL 257.176633 260.744965 \nL 258.476563 260.109481 \nL 259.776494 259.215983 \nL 261.076424 258.073393 \nL 262.701338 256.311153 \nL 264.326251 254.200276 \nL 266.276146 251.245108 \nL 268.226042 247.877574 \nL 270.500921 243.499579 \nL 273.100782 238.011286 \nL 276.350608 230.612994 \nL 281.225347 218.878026 \nL 289.999878 197.693401 \nL 294.224652 188.11144 \nL 297.799461 180.506791 \nL 301.37427 173.427431 \nL 304.624096 167.474483 \nL 307.873923 161.990537 \nL 311.123749 156.973161 \nL 314.048593 152.847739 \nL 316.973421 149.07957 \nL 319.898264 145.653558 \nL 322.823108 142.552366 \nL 325.747952 139.757007 \nL 328.672795 137.247279 \nL 331.922622 134.768035 \nL 335.172448 132.585593 \nL 338.422274 130.669524 \nL 341.997083 128.832719 \nL 345.571892 127.239633 \nL 349.796666 125.614561 \nL 354.671406 124.001907 \nL 361.171058 122.118096 \nL 373.520398 118.585508 \nL 378.395137 116.936205 \nL 379.370085 116.57568 \nL 379.370085 116.57568 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482813 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pfd9a2e9473\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,2], result_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0., \"g\": 0., \"w\": 1.}\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:43:56.328236</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m9f339cacf8\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m9f339cacf8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m9f339cacf8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m9f339cacf8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m9f339cacf8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m9f339cacf8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m9f339cacf8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m54dfa04a88\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m54dfa04a88\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m54dfa04a88\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m54dfa04a88\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m54dfa04a88\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m54dfa04a88\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pb4c7347503)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb4c7347503\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjgAAAGdCAYAAAAfTAk2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAerElEQVR4nO3dfXBU5d3/8c+ShA20yYqk7JIaIFhGQLSFpMZEI3aq4UFRKq0oJdpqqRnFkGSsPNkfDI5JQUsZGx4aim2d+sB0EE1nMDexasQSntIEKU1x2qaEAdYYirsRbQLh/P5g2LvbhADe2az75f2a2T9y7XXOXmdn9Lzn7NnF5TiOIwAAAEP6RXsBAAAAvY3AAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDnx0V5ANJw+fVpHjhxRUlKSXC5XtJcDAAAugOM4amtrU2pqqvr16/kazSUZOEeOHFFaWlq0lwEAAD6DQ4cO6YorruhxziUZOElJSZLOvEHJyclRXg0AALgQwWBQaWlpofN4Ty7JwDn7sVRycjKBAwBAjLmQ20u4yRgAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYE6fBM6aNWuUnp6uxMREZWRkaNu2bT3Or6mpUUZGhhITEzVy5EitW7funHNffvlluVwuTZ8+vZdXDQAAYlXEA2fjxo0qKirS4sWLVV9fr9zcXE2ZMkXNzc3dzm9qatLUqVOVm5ur+vp6LVq0SIWFhdq0aVOXuQcPHtRjjz2m3NzcSB8GAACIIS7HcZxIvkBWVpYmTJigtWvXhsbGjBmj6dOnq6ysrMv8+fPnq7KyUo2NjaGxgoIC7d27V7W1taGxzs5OTZw4Ud///ve1bds2ffTRR3r11VcvaE3BYFAej0eBQEDJycmf/eAAAECfuZjzd0Sv4HR0dKiurk55eXlh43l5edq+fXu329TW1naZP2nSJO3Zs0cnT54MjS1btkxf+tKX9OCDD553He3t7QoGg2EPAABgV0QDp7W1VZ2dnfJ6vWHjXq9Xfr+/2238fn+380+dOqXW1lZJ0h//+Edt2LBB69evv6B1lJWVyePxhB5paWmf4WgAAECs6JObjF0uV9jfjuN0GTvf/LPjbW1tmj17ttavX6+UlJQLev2FCxcqEAiEHocOHbrIIwAAALEkPpI7T0lJUVxcXJerNS0tLV2u0pzl8/m6nR8fH6/Bgwdr//79+uc//6lp06aFnj99+rQkKT4+XgcOHNCVV14Ztr3b7Zbb7e6NQwIAADEgoldw+vfvr4yMDFVXV4eNV1dXKycnp9ttsrOzu8zfunWrMjMzlZCQoNGjR2vfvn1qaGgIPe644w594xvfUENDAx8/AQCAyF7BkaSSkhLl5+crMzNT2dnZqqioUHNzswoKCiSd+fjo8OHDev755yWd+cZUeXm5SkpKNGfOHNXW1mrDhg166aWXJEmJiYkaN25c2GtcdtllktRlHAAAXJoiHjgzZ87UsWPHtGzZMh09elTjxo3Tli1bNHz4cEnS0aNHw34TJz09XVu2bFFxcbFWr16t1NRUPfvss5oxY0aklwoAAIyI+O/gfB7xOzgAAMSez83v4AAAAEQDgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABz+iRw1qxZo/T0dCUmJiojI0Pbtm3rcX5NTY0yMjKUmJiokSNHat26dWHPr1+/Xrm5uRo0aJAGDRqkW265Rbt27YrkIQAAgBgS8cDZuHGjioqKtHjxYtXX1ys3N1dTpkxRc3Nzt/Obmpo0depU5ebmqr6+XosWLVJhYaE2bdoUmvP222/r3nvv1VtvvaXa2loNGzZMeXl5Onz4cKQPBwAAxACX4zhOJF8gKytLEyZM0Nq1a0NjY8aM0fTp01VWVtZl/vz581VZWanGxsbQWEFBgfbu3ava2tpuX6Ozs1ODBg1SeXm57rvvvvOuKRgMyuPxKBAIKDk5+TMcFQAA6GsXc/6O6BWcjo4O1dXVKS8vL2w8Ly9P27dv73ab2traLvMnTZqkPXv26OTJk91u88knn+jkyZO6/PLLu32+vb1dwWAw7AEAAOyKaOC0traqs7NTXq83bNzr9crv93e7jd/v73b+qVOn1Nra2u02CxYs0Je//GXdcsst3T5fVlYmj8cTeqSlpX2GowEAALGiT24ydrlcYX87jtNl7HzzuxuXpBUrVuill17SK6+8osTExG73t3DhQgUCgdDj0KFDF3sIAAAghsRHcucpKSmKi4vrcrWmpaWly1Was3w+X7fz4+PjNXjw4LDxZ555RqWlpXrjjTd07bXXnnMdbrdbbrf7Mx4FAACINRG9gtO/f39lZGSouro6bLy6ulo5OTndbpOdnd1l/tatW5WZmamEhITQ2NNPP60nn3xSVVVVyszM7P3FAwCAmBXxj6hKSkr0y1/+Us8995waGxtVXFys5uZmFRQUSDrz8dF/fvOpoKBABw8eVElJiRobG/Xcc89pw4YNeuyxx0JzVqxYoSeeeELPPfecRowYIb/fL7/fr48//jjShwMAAGJARD+ikqSZM2fq2LFjWrZsmY4ePapx48Zpy5YtGj58uCTp6NGjYb+Jk56eri1btqi4uFirV69Wamqqnn32Wc2YMSM0Z82aNero6NC3v/3tsNdasmSJli5dGulDAgAAn3MR/x2czyN+BwcAgNjzufkdHAAAgGggcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGBOnwTOmjVrlJ6ersTERGVkZGjbtm09zq+pqVFGRoYSExM1cuRIrVu3rsucTZs2aezYsXK73Ro7dqw2b94cqeUDAIAYE/HA2bhxo4qKirR48WLV19crNzdXU6ZMUXNzc7fzm5qaNHXqVOXm5qq+vl6LFi1SYWGhNm3aFJpTW1urmTNnKj8/X3v37lV+fr7uvvtu7dy5M9KHAwAAYoDLcRwnki+QlZWlCRMmaO3ataGxMWPGaPr06SorK+syf/78+aqsrFRjY2NorKCgQHv37lVtba0kaebMmQoGg3r99ddDcyZPnqxBgwbppZdeOu+agsGgPB6PAoGAkpOT/y+HF8ZxHH16srPX9gcAQCwbkBAnl8vVa/u7mPN3fK+9ajc6OjpUV1enBQsWhI3n5eVp+/bt3W5TW1urvLy8sLFJkyZpw4YNOnnypBISElRbW6vi4uIuc1atWtXtPtvb29Xe3h76OxgMfoajOb9PT3Zq7P/7n4jsGwCAWPOXZZM0sH9EU+OcIvoRVWtrqzo7O+X1esPGvV6v/H5/t9v4/f5u5586dUqtra09zjnXPsvKyuTxeEKPtLS0z3pIAAAgBvRJVv335SnHcXq8ZNXd/P8ev5h9Lly4UCUlJaG/g8FgRCJnQEKc/rJsUq/vFwCAWDQgIS5qrx3RwElJSVFcXFyXKystLS1drsCc5fP5up0fHx+vwYMH9zjnXPt0u91yu92f9TAumMvlitqlOAAA8L8i+hFV//79lZGRoerq6rDx6upq5eTkdLtNdnZ2l/lbt25VZmamEhISepxzrn0CAIBLS8QvN5SUlCg/P1+ZmZnKzs5WRUWFmpubVVBQIOnMx0eHDx/W888/L+nMN6bKy8tVUlKiOXPmqLa2Vhs2bAj7dtS8efN00003afny5brzzjv12muv6Y033tC7774b6cMBAAAxIOKBM3PmTB07dkzLli3T0aNHNW7cOG3ZskXDhw+XJB09ejTsN3HS09O1ZcsWFRcXa/Xq1UpNTdWzzz6rGTNmhObk5OTo5Zdf1hNPPKEf//jHuvLKK7Vx40ZlZWVF+nAAAEAMiPjv4HweRep3cAAAQORczPmbf4sKAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAnIgGzvHjx5Wfny+PxyOPx6P8/Hx99NFHPW7jOI6WLl2q1NRUDRgwQDfffLP2798fev5f//qXHn30UV111VUaOHCghg0bpsLCQgUCgUgeCgAAiCERDZxZs2apoaFBVVVVqqqqUkNDg/Lz83vcZsWKFVq5cqXKy8u1e/du+Xw+3XrrrWpra5MkHTlyREeOHNEzzzyjffv26de//rWqqqr04IMPRvJQAABADHE5juNEYseNjY0aO3asduzYoaysLEnSjh07lJ2drb/+9a+66qqrumzjOI5SU1NVVFSk+fPnS5La29vl9Xq1fPlyPfTQQ92+1u9+9zvNnj1bJ06cUHx8/HnXFgwG5fF4FAgElJyc/H84SgAA0Fcu5vwdsSs4tbW18ng8obiRpOuvv14ej0fbt2/vdpumpib5/X7l5eWFxtxutyZOnHjObSSFDvRC4gYAANgXsSLw+/0aMmRIl/EhQ4bI7/efcxtJ8nq9YeNer1cHDx7sdptjx47pySefPOfVHenMVaD29vbQ38Fg8LzrBwAAseuir+AsXbpULperx8eePXskSS6Xq8v2juN0O/6f/vv5c20TDAZ12223aezYsVqyZMk591dWVha60dnj8SgtLe1CDhUAAMSoi76CM3fuXN1zzz09zhkxYoTee+89ffDBB12e+/DDD7tcoTnL5/NJOnMlZ+jQoaHxlpaWLtu0tbVp8uTJ+uIXv6jNmzcrISHhnOtZuHChSkpKQn8Hg0EiBwAAwy46cFJSUpSSknLeednZ2QoEAtq1a5euu+46SdLOnTsVCASUk5PT7Tbp6eny+Xyqrq7W+PHjJUkdHR2qqanR8uXLQ/OCwaAmTZokt9utyspKJSYm9rgWt9stt9t9oYcIAABiXMRuMh4zZowmT56sOXPmaMeOHdqxY4fmzJmj22+/PewbVKNHj9bmzZslnfloqqioSKWlpdq8ebP+/Oc/63vf+54GDhyoWbNmSTpz5SYvL08nTpzQhg0bFAwG5ff75ff71dnZGanDAQAAMSSiXzt64YUXVFhYGPpW1B133KHy8vKwOQcOHAj7kb7HH39cn376qR5++GEdP35cWVlZ2rp1q5KSkiRJdXV12rlzpyTpK1/5Sti+mpqaNGLEiAgeEQAAiAUR+x2czzN+BwcAgNjzufgdHAAAgGghcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMwhcAAAgDkEDgAAMIfAAQAA5hA4AADAHAIHAACYQ+AAAABzCBwAAGAOgQMAAMyJaOAcP35c+fn58ng88ng8ys/P10cffdTjNo7jaOnSpUpNTdWAAQN08803a//+/eecO2XKFLlcLr366qu9fwAAACAmRTRwZs2apYaGBlVVVamqqkoNDQ3Kz8/vcZsVK1Zo5cqVKi8v1+7du+Xz+XTrrbeqra2ty9xVq1bJ5XJFavkAACBGxUdqx42NjaqqqtKOHTuUlZUlSVq/fr2ys7N14MABXXXVVV22cRxHq1at0uLFi3XXXXdJkn7zm9/I6/XqxRdf1EMPPRSau3fvXq1cuVK7d+/W0KFDI3UYAAAgBkXsCk5tba08Hk8obiTp+uuvl8fj0fbt27vdpqmpSX6/X3l5eaExt9utiRMnhm3zySef6N5771V5ebl8Pt9519Le3q5gMBj2AAAAdkUscPx+v4YMGdJlfMiQIfL7/efcRpK8Xm/YuNfrDdumuLhYOTk5uvPOOy9oLWVlZaH7gDwej9LS0i70MAAAQAy66MBZunSpXC5Xj489e/ZIUrf3xziOc977Zv77+f/cprKyUm+++aZWrVp1wWteuHChAoFA6HHo0KEL3hYAAMSei74HZ+7cubrnnnt6nDNixAi99957+uCDD7o89+GHH3a5QnPW2Y+b/H5/2H01LS0toW3efPNN/f3vf9dll10Wtu2MGTOUm5urt99+u8t+3W633G53j2sGAAB2XHTgpKSkKCUl5bzzsrOzFQgEtGvXLl133XWSpJ07dyoQCCgnJ6fbbdLT0+Xz+VRdXa3x48dLkjo6OlRTU6Ply5dLkhYsWKAf/OAHYdtdc801+tnPfqZp06Zd7OEAAACDIvYtqjFjxmjy5MmaM2eOfvGLX0iSfvjDH+r2228P+wbV6NGjVVZWpm9961tyuVwqKipSaWmpRo0apVGjRqm0tFQDBw7UrFmzJJ25ytPdjcXDhg1Tenp6pA4HAADEkIgFjiS98MILKiwsDH0r6o477lB5eXnYnAMHDigQCIT+fvzxx/Xpp5/q4Ycf1vHjx5WVlaWtW7cqKSkpkksFAACGuBzHcaK9iL4WDAbl8XgUCASUnJwc7eUAAIALcDHnb/4tKgAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzCFwAACAOQQOAAAwh8ABAADmEDgAAMAcAgcAAJhD4AAAAHMIHAAAYA6BAwAAzImP9gKiwXEcSVIwGIzySgAAwIU6e94+ex7vySUZOG1tbZKktLS0KK8EAABcrLa2Nnk8nh7nuJwLySBjTp8+rSNHjigpKUkul6tX9x0MBpWWlqZDhw4pOTm5V/eN/8X73Dd4n/sO73Xf4H3uG5F6nx3HUVtbm1JTU9WvX8932VySV3D69eunK664IqKvkZyczH88fYD3uW/wPvcd3uu+wfvcNyLxPp/vys1Z3GQMAADMIXAAAIA5BE4vc7vdWrJkidxud7SXYhrvc9/gfe47vNd9g/e5b3we3udL8iZjAABgG1dwAACAOQQOAAAwh8ABAADmEDgAAMAcAqcXrVmzRunp6UpMTFRGRoa2bdsW7SWZU1ZWpq9//etKSkrSkCFDNH36dB04cCDayzKvrKxMLpdLRUVF0V6KOYcPH9bs2bM1ePBgDRw4UF/72tdUV1cX7WWZc+rUKT3xxBNKT0/XgAEDNHLkSC1btkynT5+O9tJi2jvvvKNp06YpNTVVLpdLr776atjzjuNo6dKlSk1N1YABA3TzzTdr//79fbI2AqeXbNy4UUVFRVq8eLHq6+uVm5urKVOmqLm5OdpLM6WmpkaPPPKIduzYoerqap06dUp5eXk6ceJEtJdm1u7du1VRUaFrr7022ksx5/jx47rhhhuUkJCg119/XX/5y1/005/+VJdddlm0l2bO8uXLtW7dOpWXl6uxsVErVqzQ008/rZ///OfRXlpMO3HihL761a+qvLy82+dXrFihlStXqry8XLt375bP59Ott94a+jchI8pBr7juuuucgoKCsLHRo0c7CxYsiNKKLg0tLS2OJKempibaSzGpra3NGTVqlFNdXe1MnDjRmTdvXrSXZMr8+fOdG2+8MdrLuCTcdtttzgMPPBA2dtdddzmzZ8+O0orskeRs3rw59Pfp06cdn8/n/OQnPwmN/fvf/3Y8Ho+zbt26iK+HKzi9oKOjQ3V1dcrLywsbz8vL0/bt26O0qktDIBCQJF1++eVRXolNjzzyiG677Tbdcsst0V6KSZWVlcrMzNR3vvMdDRkyROPHj9f69eujvSyTbrzxRv3hD3/Q+++/L0nau3ev3n33XU2dOjXKK7OrqalJfr8/7Nzodrs1ceLEPjk3XpL/2GZva21tVWdnp7xeb9i41+uV3++P0qrscxxHJSUluvHGGzVu3LhoL8ecl19+WX/605+0e/fuaC/FrH/84x9au3atSkpKtGjRIu3atUuFhYVyu9267777or08U+bPn69AIKDRo0crLi5OnZ2deuqpp3TvvfdGe2lmnT3/dXduPHjwYMRfn8DpRS6XK+xvx3G6jKH3zJ07V++9957efffdaC/FnEOHDmnevHnaunWrEhMTo70cs06fPq3MzEyVlpZKksaPH6/9+/dr7dq1BE4v27hxo37729/qxRdf1NVXX62GhgYVFRUpNTVV999/f7SXZ1q0zo0ETi9ISUlRXFxcl6s1LS0tXcoVvePRRx9VZWWl3nnnHV1xxRXRXo45dXV1amlpUUZGRmiss7NT77zzjsrLy9Xe3q64uLgortCGoUOHauzYsWFjY8aM0aZNm6K0Irt+9KMfacGCBbrnnnskSddcc40OHjyosrIyAidCfD6fpDNXcoYOHRoa76tzI/fg9IL+/fsrIyND1dXVYePV1dXKycmJ0qpschxHc+fO1SuvvKI333xT6enp0V6SSd/85je1b98+NTQ0hB6ZmZn67ne/q4aGBuKml9xwww1dfubg/fff1/Dhw6O0Irs++eQT9esXfsqLi4vja+IRlJ6eLp/PF3Zu7OjoUE1NTZ+cG7mC00tKSkqUn5+vzMxMZWdnq6KiQs3NzSooKIj20kx55JFH9OKLL+q1115TUlJS6KqZx+PRgAEDorw6O5KSkrrc1/SFL3xBgwcP5n6nXlRcXKycnByVlpbq7rvv1q5du1RRUaGKiopoL82cadOm6amnntKwYcN09dVXq76+XitXrtQDDzwQ7aXFtI8//lh/+9vfQn83NTWpoaFBl19+uYYNG6aioiKVlpZq1KhRGjVqlEpLSzVw4EDNmjUr8ouL+Pe0LiGrV692hg8f7vTv39+ZMGECX12OAEndPn71q19Fe2nm8TXxyPj973/vjBs3znG73c7o0aOdioqKaC/JpGAw6MybN88ZNmyYk5iY6IwcOdJZvHix097eHu2lxbS33nqr2/8n33///Y7jnPmq+JIlSxyfz+e43W7npptucvbt29cna3M5juNEPqMAAAD6DvfgAAAAcwgcAABgDoEDAADMIXAAAIA5BA4AADCHwAEAAOYQOAAAwBwCBwAAmEPgAAAAcwgcAABgDoEDAADMIXAAAIA5/x+2AhDIvI7OFAAAAABJRU5ErkJggg==\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "tags": [
+     "outputPrepend"
+    ]
+   },
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "ad=True), 'w': Parameter containing:\n",
+      "tensor(0.9047, requires_grad=True)}\n",
+      "Epoch: 47\t Loss: tensor(0.0730, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2699, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1399, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4409, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9334, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9002, requires_grad=True)}\n",
+      "Epoch: 48\t Loss: tensor(0.0748, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2592, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1308, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4554, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9225, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9166, requires_grad=True)}\n",
+      "Epoch: 49\t Loss: tensor(0.0563, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2477, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1236, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4682, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9149, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9371, requires_grad=True)}\n",
+      "Epoch: 50\t Loss: tensor(0.0585, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2367, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1207, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4709, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9132, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9509, requires_grad=True)}\n",
+      "Epoch: 51\t Loss: tensor(0.0659, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2264, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1218, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4619, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9176, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9540, requires_grad=True)}\n",
+      "Epoch: 52\t Loss: tensor(0.0646, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2177, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1255, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4426, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9271, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9474, requires_grad=True)}\n",
+      "Epoch: 53\t Loss: tensor(0.0565, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2118, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1292, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.4170, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9398, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9356, requires_grad=True)}\n",
+      "Epoch: 54\t Loss: tensor(0.0517, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2103, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1296, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3908, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9529, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9251, requires_grad=True)}\n",
+      "Epoch: 55\t Loss: tensor(0.0542, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2147, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1234, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3699, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9631, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9218, requires_grad=True)}\n",
+      "Epoch: 56\t Loss: tensor(0.0543, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2232, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1122, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3554, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9705, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9284, requires_grad=True)}\n",
+      "Epoch: 57\t Loss: tensor(0.0484, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2313, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1017, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3450, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9771, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9438, requires_grad=True)}\n",
+      "Epoch: 58\t Loss: tensor(0.0424, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2375, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0945, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3352, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9840, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9634, requires_grad=True)}\n",
+      "Epoch: 59\t Loss: tensor(0.0405, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2416, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0925, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.3208, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9921, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9802, requires_grad=True)}\n",
+      "Epoch: 60\t Loss: tensor(0.0422, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2441, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0966, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2985, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(1.0018, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9896, requires_grad=True)}\n",
+      "Epoch: 61\t Loss: tensor(0.0398, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2454, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1049, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2694, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(1.0127, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9915, requires_grad=True)}\n",
+      "Epoch: 62\t Loss: tensor(0.0340, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2459, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1147, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2373, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(1.0236, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9895, requires_grad=True)}\n",
+      "Epoch: 63\t Loss: tensor(0.0312, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2493, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1199, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.2072, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(1.0318, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9873, requires_grad=True)}\n",
+      "Epoch: 64\t Loss: tensor(0.0349, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2624, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1087, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1884, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(1.0310, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9898, requires_grad=True)}\n",
+      "Epoch: 65\t Loss: tensor(0.0363, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2604, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1155, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1705, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(1.0352, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9991, requires_grad=True)}\n",
+      "Epoch: 66\t Loss: tensor(0.0298, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2601, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1189, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1566, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(1.0366, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0105, requires_grad=True)}\n",
+      "Epoch: 67\t Loss: tensor(0.0318, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2690, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1068, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1507, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(1.0300, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0216, requires_grad=True)}\n",
+      "Epoch: 68\t Loss: tensor(0.0367, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2623, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1118, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1421, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(1.0289, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0318, requires_grad=True)}\n",
+      "Epoch: 69\t Loss: tensor(0.0323, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2556, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1163, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1297, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(1.0276, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0346, requires_grad=True)}\n",
+      "Epoch: 70\t Loss: tensor(0.0378, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2613, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1017, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1229, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(1.0174, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0315, requires_grad=True)}\n",
+      "Epoch: 71\t Loss: tensor(0.0331, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2574, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0986, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1126, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(1.0113, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0258, requires_grad=True)}\n",
+      "Epoch: 72\t Loss: tensor(0.0313, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2441, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.1072, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1003, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(1.0092, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0203, requires_grad=True)}\n",
+      "Epoch: 73\t Loss: tensor(0.0392, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2502, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0843, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1077, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9919, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0197, requires_grad=True)}\n",
+      "Epoch: 74\t Loss: tensor(0.0377, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2402, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0776, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1190, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9787, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0262, requires_grad=True)}\n",
+      "Epoch: 75\t Loss: tensor(0.0312, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2246, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0765, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1296, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9671, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0328, requires_grad=True)}\n",
+      "Epoch: 76\t Loss: tensor(0.0302, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2108, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0750, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1328, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9570, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0316, requires_grad=True)}\n",
+      "Epoch: 77\t Loss: tensor(0.0320, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2019, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0690, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1287, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9479, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0220, requires_grad=True)}\n",
+      "Epoch: 78\t Loss: tensor(0.0289, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1976, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0586, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1206, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9397, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0084, requires_grad=True)}\n",
+      "Epoch: 79\t Loss: tensor(0.0262, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1943, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0481, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1130, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9321, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9980, requires_grad=True)}\n",
+      "Epoch: 80\t Loss: tensor(0.0295, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1890, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0408, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1105, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9243, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9972, requires_grad=True)}\n",
+      "Epoch: 81\t Loss: tensor(0.0301, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1818, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0372, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1127, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9158, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0054, requires_grad=True)}\n",
+      "Epoch: 82\t Loss: tensor(0.0267, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1745, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0355, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1139, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9082, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0166, requires_grad=True)}\n",
+      "Epoch: 83\t Loss: tensor(0.0265, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1688, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0333, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.1093, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9027, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0245, requires_grad=True)}\n",
+      "Epoch: 84\t Loss: tensor(0.0282, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1656, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0291, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.0974, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8999, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0262, requires_grad=True)}\n",
+      "Epoch: 85\t Loss: tensor(0.0270, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1648, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0228, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.0798, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8994, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0230, requires_grad=True)}\n",
+      "Epoch: 86\t Loss: tensor(0.0242, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1648, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0162, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.0602, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9000, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0194, requires_grad=True)}\n",
+      "Epoch: 87\t Loss: tensor(0.0241, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1638, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0113, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.0437, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.9000, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0207, requires_grad=True)}\n",
+      "Epoch: 88\t Loss: tensor(0.0249, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1612, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0088, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.0330, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8982, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0290, requires_grad=True)}\n",
+      "Epoch: 89\t Loss: tensor(0.0229, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1580, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0067, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.0264, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8954, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0410, requires_grad=True)}\n",
+      "Epoch: 90\t Loss: tensor(0.0217, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1557, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(-0.0027, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.0197, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8931, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0512, requires_grad=True)}\n",
+      "Epoch: 91\t Loss: tensor(0.0224, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1551, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.0041, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.0100, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8919, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0560, requires_grad=True)}\n",
+      "Epoch: 92\t Loss: tensor(0.0220, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1548, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.0115, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.0039, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8914, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0558, requires_grad=True)}\n",
+      "Epoch: 93\t Loss: tensor(0.0210, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1527, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.0154, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.0204, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8896, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0546, requires_grad=True)}\n",
+      "Epoch: 94\t Loss: tensor(0.0207, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1484, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.0156, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.0351, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8854, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0562, requires_grad=True)}\n",
+      "Epoch: 95\t Loss: tensor(0.0208, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1451, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.0196, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.0427, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8795, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0605, requires_grad=True)}\n",
+      "Epoch: 96\t Loss: tensor(0.0202, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1434, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.0283, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.0444, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8727, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0658, requires_grad=True)}\n",
+      "Epoch: 97\t Loss: tensor(0.0191, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1399, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.0334, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.0474, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8644, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0717, requires_grad=True)}\n",
+      "Epoch: 98\t Loss: tensor(0.0189, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1349, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.0356, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.0548, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8555, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0754, requires_grad=True)}\n",
+      "Epoch: 99\t Loss: tensor(0.0188, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1319, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.0416, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.0651, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8485, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0743, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.1},\n",
+    "    max_epochs=100\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'a': Parameter containing:\n",
+       " tensor(0.1319, requires_grad=True),\n",
+       " 'b': Parameter containing:\n",
+       " tensor(0.0416, requires_grad=True),\n",
+       " 'd': Parameter containing:\n",
+       " tensor(-0.0651, requires_grad=True),\n",
+       " 'g': Parameter containing:\n",
+       " tensor(0.8485, requires_grad=True),\n",
+       " 'w': Parameter containing:\n",
+       " tensor(1.0743, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 17
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs\n",
+    "\n",
+    "# \"b\", \"d\", \"g\" differ by at most 0.1. \"a\" differs by 0.1094.\n",
+    "# TODO: Investigate why \"w\" isn't learning"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt = 10000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
+       "        [0.0000e+00, 8.4848e-03, 1.0000e-02],\n",
+       "        [8.4848e-05, 1.6975e-02, 2.0000e-02],\n",
+       "        ...,\n",
+       "        [       nan,        nan, 9.9973e+01],\n",
+       "        [       nan,        nan, 9.9983e+01],\n",
+       "        [       nan,        nan, 9.9993e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 18
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(10000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"307.788562pt\" version=\"1.1\" viewBox=\"0 0 393.262187 307.788562\" width=\"393.262187pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:49:21.214103</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 307.788562 \nL 393.262187 307.788562 \nL 393.262187 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 28.942188 283.910437 \nL 386.062188 283.910437 \nL 386.062188 17.798437 \nL 28.942188 17.798437 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m2993147400\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"45.174915\" xlink:href=\"#m2993147400\" y=\"283.910437\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(41.993665 298.508875)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"114.574033\" xlink:href=\"#m2993147400\" y=\"283.910437\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 20 -->\n      <g transform=\"translate(108.211533 298.508875)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"183.973151\" xlink:href=\"#m2993147400\" y=\"283.910437\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 40 -->\n      <g transform=\"translate(177.610651 298.508875)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"253.372269\" xlink:href=\"#m2993147400\" y=\"283.910437\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 60 -->\n      <g transform=\"translate(247.009769 298.508875)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"322.771387\" xlink:href=\"#m2993147400\" y=\"283.910437\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 80 -->\n      <g transform=\"translate(316.408887 298.508875)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_6\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m63ac4ab6da\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m63ac4ab6da\" y=\"243.659508\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- −5 -->\n      <g transform=\"translate(7.2 247.458727)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m63ac4ab6da\" y=\"200.906494\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −4 -->\n      <g transform=\"translate(7.2 204.705713)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m63ac4ab6da\" y=\"158.15348\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −3 -->\n      <g transform=\"translate(7.2 161.952699)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m63ac4ab6da\" y=\"115.400466\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −2 -->\n      <g transform=\"translate(7.2 119.199685)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m63ac4ab6da\" y=\"72.647452\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −1 -->\n      <g transform=\"translate(7.2 76.44667)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m63ac4ab6da\" y=\"29.894437\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0 -->\n      <g transform=\"translate(15.579688 33.693656)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_12\">\n     <!-- 1e33 -->\n     <g transform=\"translate(28.942188 14.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" id=\"DejaVuSans-65\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"125.146484\" xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"188.769531\" xlink:href=\"#DejaVuSans-33\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p767ada8c72)\" d=\"M 45.174915 29.894437 \nL 369.794753 29.894437 \nL 369.82946 271.814437 \nL 369.82946 271.814437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 28.942188 283.910437 \nL 28.942188 17.798437 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 386.062188 283.910437 \nL 386.062188 17.798437 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 28.942188 283.910437 \nL 386.062188 283.910437 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 28.942188 17.798437 \nL 386.062188 17.798437 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p767ada8c72\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"28.942188\" y=\"17.798437\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiIAAAGsCAYAAADg5swfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAaUklEQVR4nO3df4xU5f3o8c/A6gALrLobQcrCAmrRgpUfrRXxi8RGqaaG2HLFq+KPiqJiEazKVqNAwNWEpo1GsVqDptJKjdTapm2g1VKopQiCoqYoirJxVaqmu6i3i2XP/cM6t1uUul4Ozy77eiUncc48M88zZyT7zsyZmUKWZVkAACTQJfUCAIDOS4gAAMkIEQAgGSECACQjRACAZIQIAJCMEAEAkhEiAEAyQgQASEaIAADJdJgQ+eMf/xhf//rXo1+/flEoFOKRRx5p0+03b94c48ePjz59+kS3bt1i8ODBccMNN8QHH3xQGrN69eo44YQTorKyMrp37x5Dhw6N73//+3v5kQAAHylLvYBP67333osvfvGLceGFF8Y3vvGNNt/+gAMOiClTpsTIkSPjoIMOiqeffjqmTp0aLS0tcfPNN0dERHl5eUyfPj2OOeaYKC8vj9WrV8ell14a5eXlcckll+zthwQAnV6hI/7oXaFQiJ///OcxceLE0r6dO3fGDTfcEEuWLIm///3vMWzYsLj11lvjpJNO+sT7mTVrVjz55JOxatWqTxxz5plnRnl5efz4xz/ei48AAIjoQG/N/DcXXnhh/OlPf4oHH3wwnnnmmZg0aVJMmDAhXnzxxY8dv2XLlvjtb38b48aN+8T73LBhQzzxxBN7HAMAfHb7RYi89NJL8dOf/jQeeuihOPHEE2PIkCHxne98J8aOHRuLFy9uNXbMmDHRrVu3OOKII+LEE0+MefPm7XZ//fv3j2KxGKNHj44rrrgiLr744n31UACgU+kw54jsyVNPPRVZlsWRRx7Zan9zc3NUVla22rd06dLYsWNHPP3003HNNdfEwoUL49prr201ZtWqVfHuu+/GmjVrYvbs2XH44YfH2WefnfvjAIDOZr8IkZaWlujatWusX78+unbt2uq6nj17trpcXV0dERFHH3107Nq1Ky655JK4+uqrW91u0KBBERExfPjwePPNN2POnDlCBABysF+EyIgRI2LXrl2xffv2OPHEEz/17bIsiw8++CD2dL5ulmXR3Ny8N5YJAPyHDhMi7777bmzZsqV0eevWrbFx48Y45JBD4sgjj4xzzjknpkyZEt/73vdixIgR8dZbb8Vjjz0Ww4cPj9NOOy2WLFkSBxxwQAwfPjyKxWKsX78+amtr46yzzoqysg8Pwx133BEDBgyIoUOHRsSH3yuycOHCuPLKK5M8ZgDY33WYEFm3bl2MHz++dHnWrFkREXH++efHfffdF4sXL4758+fH1VdfHa+99lpUVlbG8ccfH6eddlpERJSVlcWtt94aL7zwQmRZFgMHDowrrrgiZs6cWbrPlpaWqK2tja1bt0ZZWVkMGTIkbrnllrj00kv37YMFgE6iQ36PCACwf9gvPr4LAHRMQgQASKZdnyPS0tISDQ0N0atXrygUCqmXAwB8ClmWxY4dO6Jfv37RpcueX/No1yHS0NBQ+t4PAKBjqa+vj/79++9xTLsOkV69ekXEhw+kd+/eiVcDAHwaTU1NUV1dXfo7viftOkQ+ejumd+/eQgQAOphPc1qFk1UBgGSECACQjBABAJIRIgBAMkIEAEhGiAAAyQgRACAZIQIAJCNEAIBk9kmI3HnnnTFo0KDo1q1bjBo1KlatWrUvpgUA2rncQ2Tp0qVx1VVXxfXXXx8bNmyIE088Mb72ta/Ftm3b8p4aAGjnClmWZXlOcNxxx8XIkSNj0aJFpX1HHXVUTJw4Merq6vZ426ampqioqIjGxka/NQMAHURb/n7n+qN3O3fujPXr18fs2bNb7T/llFPiiSee2G18c3NzNDc3ly43NTXlsq4t29+NJX95NZf7BoCO4sCyLvG/vzwgBlaWJ1tDriHy1ltvxa5du6JPnz6t9vfp0yfeeOON3cbX1dXF3Llz81xSREQ0/P3/xOI/vZL7PADQ3r21Y2d87399Mdn8uYbIR/7zZ4CzLPvYnwaura2NWbNmlS43NTVFdXX1Xl9P9SE94orxQ/b6/QJAR7Hptab44wt/i/d3/jPpOnINkaqqqujatetur35s3759t1dJIiKKxWIUi8U8lxQREYOqyuOaU4fmPg8AtFc//vMr8ccX/pZ6Gfl+aubAAw+MUaNGxYoVK1rtX7FiRYwZMybPqQGADiD3t2ZmzZoV5513XowePTqOP/74uPvuu2Pbtm0xbdq0vKcGANq53EPkrLPOirfffjvmzZsXr7/+egwbNix+/etfx8CBA/OeGgBo5/bJyaqXX355XH755ftiKgCgA/FbMwBAMkIEAEhGiAAAyQgRACAZIQIAJCNEAIBkhAgAkIwQAQCSESIAQDJCBABIRogAAMkIEQAgGSECACQjRACAZIQIAJCMEAEAkhEiAEAyQgQASEaIAADJCBEAIBkhAgAkI0QAoDMqFCIiIsvSLkOIAADJCBEAIBkhAgAkI0QAgGSECACQjBABAJIRIgBAMkIEAEhGiAAAyQgRACAZIQIAJCNEAIBkhAgAkIwQAQCSESIAQDJCBABIRogAAMkIEQAgGSECACQjRACAZIQIAJCMEAEAkhEiAEAyQgQASEaIAADJCBEA6IQKqRfwL0IEAEgm1xBZsGBBjBkzJnr06BEHHXRQnlMBAJ9BFlnS+XMNkZ07d8akSZPisssuy3MaAKCDKsvzzufOnRsREffdd1+e0wAAHVSuIdJWzc3N0dzcXLrc1NSUcDUAQN7a1cmqdXV1UVFRUdqqq6tTLwkAyFGbQ2TOnDlRKBT2uK1bt+4zLaa2tjYaGxtLW319/We6HwCgY2jzWzPTp0+PyZMn73FMTU3NZ1pMsViMYrH4mW4LAHQ8bQ6RqqqqqKqqymMtAEAnk+vJqtu2bYt33nkntm3bFrt27YqNGzdGRMThhx8ePXv2zHNqAKADyDVEbrzxxrj//vtLl0eMGBEREY8//nicdNJJeU4NAHQAuX5q5r777ossy3bbRAgAENHOPr4LAHQuQgQASEaIAADJCBEAIBkhAgAkI0QAgGSECACQjBABAJIRIgBAMkIEAEhGiAAAyQgRACAZIQIAJCNEAKATKhRSr+BDQgQASEaIAADJCBEAIBkhAgCdWJalnV+IAADJCBEAIBkhAgAkI0QAgGSECACQjBABAJIRIgBAMkIEAEhGiAAAyQgRACAZIQIAJCNEAIBkhAgAkIwQAQCSESIAQDJCBABIRogAAMkIEQAgGSECACQjRACAZIQIAHRChSikXkJECBEAICEhAgAkI0QAgGSECACQjBABAJIRIgBAMkIEADqxLPH8QgQASEaIAADJ5BYir7zySnzrW9+KQYMGRffu3WPIkCFx0003xc6dO/OaEgDoYMryuuO//vWv0dLSEj/84Q/j8MMPj2effTamTp0a7733XixcuDCvaQGADiS3EJkwYUJMmDChdHnw4MGxefPmWLRokRABACIixxD5OI2NjXHIIYd84vXNzc3R3NxcutzU1LQvlgUAJLLPTlZ96aWX4vbbb49p06Z94pi6urqoqKgobdXV1ftqeQBAAm0OkTlz5kShUNjjtm7dula3aWhoiAkTJsSkSZPi4osv/sT7rq2tjcbGxtJWX1/f9kcEAHQYbX5rZvr06TF58uQ9jqmpqSn9d0NDQ4wfPz6OP/74uPvuu/d4u2KxGMVisa1LAgA6qDaHSFVVVVRVVX2qsa+99lqMHz8+Ro0aFYsXL44uXXxtCQDw/+R2smpDQ0OcdNJJMWDAgFi4cGH87W9/K13Xt2/fvKYFADqQ3EJk+fLlsWXLltiyZUv079+/1XVZlvqb7QGA9iC390ouuOCCyLLsYzcAgAi/NQMAJCREAIBkhAgAkIwQAQCSESIAQDJCBAA6oUIh9Qo+JEQAgGSECACQjBABAJIRIgBAMkIEAEhGiAAAyQgRACAZIQIAJCNEAKATy7K08wsRACAZIQIAJCNEAIBkhAgAkIwQAQCSESIAQDJCBABIRogAAMkIEQAgGSECACQjRACAZIQIAJCMEAEAkhEiAEAyQgQASEaIAADJCBEA6IQKqRfwL0IEAEhGiAAAyQgRACAZIQIAJCNEAIBkhAgAkIwQAQCSESIAQDJCBABIRogAAMkIEQDo1LKkswsRACAZIQIAJCNEAIBkhAgAkIwQAQCSESIAQDK5hsgZZ5wRAwYMiG7dusVhhx0W5513XjQ0NOQ5JQDQgeQaIuPHj4+f/exnsXnz5nj44YfjpZdeim9+85t5TgkAdCBled75zJkzS/89cODAmD17dkycODE++OCDOOCAA/KcGgDoAHINkX/3zjvvxJIlS2LMmDGfGCHNzc3R3NxcutzU1LSvlgcAJJD7yarXXXddlJeXR2VlZWzbti1+8YtffOLYurq6qKioKG3V1dV5Lw8ASKjNITJnzpwoFAp73NatW1caf80118SGDRti+fLl0bVr15gyZUpk2cd/r31tbW00NjaWtvr6+s/+yACAdq/Nb81Mnz49Jk+evMcxNTU1pf+uqqqKqqqqOPLII+Ooo46K6urqWLNmTRx//PG73a5YLEaxWGzrkgCADqrNIfJRWHwWH70S8u/ngQAAnVduJ6uuXbs21q5dG2PHjo2DDz44Xn755bjxxhtjyJAhH/tqCACw7xQKqVfwodxOVu3evXssW7YsTj755Pj85z8fF110UQwbNixWrlzp7RcAICJyfEVk+PDh8dhjj+V19wDAfsBvzQAAyQgRACAZIQIAJCNEAIBkhAgAkIwQAQCSESIAQDJCBABIRogAAMkIEQAgGSECACQjRACgE8uytPMLEQAgGSECACQjRACAZIQIAJCMEAEAkhEiAEAyQgQASEaIAADJCBEAIBkhAgAkI0QAgGSECAB0QoUopF5CRAgRACAhIQIAJCNEAIBkhAgAkIwQAQCSESIAQDJCBABIRogAAMkIEQAgGSECACQjRACAZIQIAJCMEAEAkhEiAEAyQgQASEaIAEAnliWeX4gAAMkIEQAgGSECACQjRACAZIQIAJCMEAEAkhEiAEAyQgQASGafhEhzc3Mce+yxUSgUYuPGjftiSgCgA9gnIXLttddGv3799sVUAMCnUUi9gA/lHiK/+c1vYvny5bFw4cK8pwIAOpiyPO/8zTffjKlTp8YjjzwSPXr0+K/jm5ubo7m5uXS5qakpz+UBAInl9opIlmVxwQUXxLRp02L06NGf6jZ1dXVRUVFR2qqrq/NaHgDQDrQ5RObMmROFQmGP27p16+L222+PpqamqK2t/dT3XVtbG42NjaWtvr6+rcsDADqQNr81M3369Jg8efIex9TU1MT8+fNjzZo1USwWW103evToOOecc+L+++/f7XbFYnG38QDA/qvNIVJVVRVVVVX/ddxtt90W8+fPL11uaGiIU089NZYuXRrHHXdcW6cFAPZDuZ2sOmDAgFaXe/bsGRERQ4YMif79++c1LQDQgfhmVQAgmVw/vvvvampqIsuyfTUdANABeEUEAEhGiAAAyQgRACAZIQIAJCNEAIBkhAgAkIwQAQCSESIAQDJCBAA6sdRfNipEAIBkhAgAkIwQAQCSESIAQDJCBABIRogAAMkIEQDohAqpF/AvQgQASEaIAADJCBEAIBkhAgAkI0QAgGSECACQjBABAJIRIgBAMkIEAEhGiAAAyQgRACAZIQIAJCNEAIBkhAgAkIwQAQCSESIAQDJCBABIRogAAMkIEQAgGSECACQjRACgE8sSzy9EAIBkhAgAkIwQAQCSESIAQDJCBAA6oUKhkHoJESFEAICEhAgAkIwQAQCSESIAQDJCBABIRogAAMnkGiI1NTVRKBRabbNnz85zSgCgAynLe4J58+bF1KlTS5d79uyZ95QAQAeRe4j06tUr+vbtm/c0AEAHlPs5IrfeemtUVlbGscceGwsWLIidO3d+4tjm5uZoampqtQEA+69cXxGZMWNGjBw5Mg4++OBYu3Zt1NbWxtatW+NHP/rRx46vq6uLuXPn5rkkAKAdafMrInPmzNntBNT/3NatWxcRETNnzoxx48bFMcccExdffHHcddddce+998bbb7/9sfddW1sbjY2Npa2+vv7/79EBAO1am18RmT59ekyePHmPY2pqaj52/1e+8pWIiNiyZUtUVlbudn2xWIxisdjWJQEAHVSbQ6Sqqiqqqqo+02QbNmyIiIjDDjvsM90eANi/5HaOyJ///OdYs2ZNjB8/PioqKuLJJ5+MmTNnxhlnnBEDBgzIa1oAoAPJLUSKxWIsXbo05s6dG83NzTFw4MCYOnVqXHvttXlNCQB0MLmFyMiRI2PNmjV53T0AsB/wWzMAQDJCBABIRogAAMkIEQAgGSECACQjRACgE8uytPMLEQAgGSECACQjRACgEyqkXsC/CBEAIBkhAgAkI0QAgGSECACQjBABAJIRIgBAMkIEAEhGiAAAyQgRACAZIQIAJCNEAIBkhAgAkIwQAQCSESIAQDJCBABIRogAAMkIEQAgGSECACQjRACAZIQIAJCMEAEAkhEiAEAyQgQASEaIAADJlKVeAACw732+b6+4YvyQqKksT7oOIQIAndCwz1XEsM9VpF6Gt2YAgHSECACQjBABAJIRIgBAMkIEAEhGiAAAyQgRACAZIQIAJCNEAIBkhAgAkIwQAQCSESIAQDJCBABIpl3/+m6WZRER0dTUlHglAMCn9dHf7Y/+ju9Juw6RHTt2REREdXV14pUAAG21Y8eOqKio2OOYQvZpciWRlpaWaGhoiF69ekWhUNir993U1BTV1dVRX18fvXv33qv3zX/n+KfnOUjL8U/L8c9XlmWxY8eO6NevX3TpsuezQNr1KyJdunSJ/v375zpH7969/U+YkOOfnucgLcc/Lcc/P//tlZCPOFkVAEhGiAAAyXTaECkWi3HTTTdFsVhMvZROyfFPz3OQluOfluPffrTrk1UBgP1bp31FBABIT4gAAMkIEQAgGSECACTTKUPkzjvvjEGDBkW3bt1i1KhRsWrVqtRL2i/V1dXFl770pejVq1cceuihMXHixNi8eXOrMVmWxZw5c6Jfv37RvXv3OOmkk+K5555LtOL9W11dXRQKhbjqqqtK+xz//L322mtx7rnnRmVlZfTo0SOOPfbYWL9+fel6z0F+/vnPf8YNN9wQgwYNiu7du8fgwYNj3rx50dLSUhrj+LcDWSfz4IMPZgcccEB2zz33ZM8//3w2Y8aMrLy8PHv11VdTL22/c+qpp2aLFy/Onn322Wzjxo3Z6aefng0YMCB79913S2NuueWWrFevXtnDDz+cbdq0KTvrrLOyww47LGtqakq48v3P2rVrs5qamuyYY47JZsyYUdrv+OfrnXfeyQYOHJhdcMEF2V/+8pds69at2e9+97tsy5YtpTGeg/zMnz8/q6yszH71q19lW7duzR566KGsZ8+e2Q9+8IPSGMc/vU4XIl/+8pezadOmtdo3dOjQbPbs2YlW1Hls3749i4hs5cqVWZZlWUtLS9a3b9/slltuKY35xz/+kVVUVGR33XVXqmXud3bs2JEdccQR2YoVK7Jx48aVQsTxz991112XjR079hOv9xzk6/TTT88uuuiiVvvOPPPM7Nxzz82yzPFvLzrVWzM7d+6M9evXxymnnNJq/ymnnBJPPPFEolV1Ho2NjRERccghh0RExNatW+ONN95o9XwUi8UYN26c52MvuuKKK+L000+Pr371q632O/75e/TRR2P06NExadKkOPTQQ2PEiBFxzz33lK73HORr7Nix8fvf/z5eeOGFiIh4+umnY/Xq1XHaaadFhOPfXrTrH73b2956663YtWtX9OnTp9X+Pn36xBtvvJFoVZ1DlmUxa9asGDt2bAwbNiwionTMP+75ePXVV/f5GvdHDz74YDz11FPx5JNP7nad45+/l19+ORYtWhSzZs2K7373u7F27dr49re/HcViMaZMmeI5yNl1110XjY2NMXTo0OjatWvs2rUrFixYEGeffXZE+DfQXnSqEPlIoVBodTnLst32sXdNnz49nnnmmVi9evVu13k+8lFfXx8zZsyI5cuXR7du3T5xnOOfn5aWlhg9enTcfPPNERExYsSIeO6552LRokUxZcqU0jjPQT6WLl0aDzzwQPzkJz+JL3zhC7Fx48a46qqrol+/fnH++eeXxjn+aXWqt2aqqqqia9euu736sX379t2KmL3nyiuvjEcffTQef/zx6N+/f2l/3759IyI8HzlZv359bN++PUaNGhVlZWVRVlYWK1eujNtuuy3KyspKx9jxz89hhx0WRx99dKt9Rx11VGzbti0i/BvI2zXXXBOzZ8+OyZMnx/Dhw+O8886LmTNnRl1dXUQ4/u1FpwqRAw88MEaNGhUrVqxotX/FihUxZsyYRKvaf2VZFtOnT49ly5bFY489FoMGDWp1/aBBg6Jv376tno+dO3fGypUrPR97wcknnxybNm2KjRs3lrbRo0fHOeecExs3bozBgwc7/jk74YQTdvvI+gsvvBADBw6MCP8G8vb+++9Hly6t/8x17dq19PFdx7+dSHiibBIffXz33nvvzZ5//vnsqquuysrLy7NXXnkl9dL2O5dddllWUVGR/eEPf8hef/310vb++++Xxtxyyy1ZRUVFtmzZsmzTpk3Z2Wef7aNzOfr3T81kmeOft7Vr12ZlZWXZggULshdffDFbsmRJ1qNHj+yBBx4ojfEc5Of888/PPve5z5U+vrts2bKsqqoqu/baa0tjHP/0Ol2IZFmW3XHHHdnAgQOzAw88MBs5cmTp46TsXRHxsdvixYtLY1paWrKbbrop69u3b1YsFrP/+Z//yTZt2pRu0fu5/wwRxz9/v/zlL7Nhw4ZlxWIxGzp0aHb33Xe3ut5zkJ+mpqZsxowZ2YABA7Ju3bplgwcPzq6//vqsubm5NMbxT6+QZVmW8hUZAKDz6lTniAAA7YsQAQCSESIAQDJCBABIRogAAMkIEQAgGSECACQjRACAZIQIAJCMEAEAkhEiAEAyQgQASOb/AueFR0UBbgluAAAAAElFTkSuQmCC\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Save results as .mat file"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.io\n",
+    "\n",
+    "scipy.io.savemat(\"Duffing_fit.mat\", {\"x\": results_test_np})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/torchts/nn/models/ode_duffing_equation.py b/torchts/nn/models/ode_duffing_equation.py
deleted file mode 100644
index 8b8bc05e..00000000
--- a/torchts/nn/models/ode_duffing_equation.py
+++ /dev/null
@@ -1,197 +0,0 @@
-import torch
-from torch import nn
-from torch.utils.data import DataLoader, TensorDataset
-
-from torchts.nn.model import TimeSeriesModel
-
-
-class ODEDuffingSolver(TimeSeriesModel):
-    def __init__(
-        self, init_vars, init_coeffs, dt, solver="euler", outvar=None, **kwargs
-    ):
-        super().__init__(**kwargs)
-
-        if solver == "euler":
-            self.step_solver = self.euler_step
-        elif solver == "rk4":
-            self.step_solver = self.runge_kutta_4_step
-        else:
-            raise ValueError(f"Unrecognized solver {solver}")
-
-        for name, value in init_coeffs.items():
-            self.register_parameter(name, nn.Parameter(torch.tensor(value)))
-        
-        self.var_names = init_vars.keys()
-        self.init_vars = {
-            name: torch.tensor(value, device=self.device)
-            for name, value in init_vars.items()
-        }
-        self.coeffs = {name: param for name, param in self.named_parameters()}
-        self.outvar = self.var_names if outvar is None else outvar
-        self.dt = dt
-
-    def euler_step(self, prev_val):
-        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
-        pred["x"] = prev_val["x"] + prev_val["x_"] * self.dt
-        pred["x_"] = prev_val["x_"] + (self.coeffs["g"]*torch.cos(self.coeffs["w"]*prev_val["t"]) - self.coeffs["d"]*prev_val["x_"] - self.coeffs["a"]*prev_val["x"] - self.coeffs["b"]*prev_val["x"]*prev_val["x"]*prev_val["x"]) * self.dt
-        pred["t"] = prev_val["t"] + self.dt
-        return pred
-
-    # TODO: Implement
-    def runge_kutta_4_step(self, prev_val):
-        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
-
-        k_1 = prev_val
-        k_2 = {}
-        k_3 = {}
-        k_4 = {}
-
-        for var in self.var_names:
-            k_2[var] = (
-                prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
-            )
-
-        for var in self.var_names:
-            k_3[var] = (
-                prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt
-            )
-
-        for var in self.var_names:
-            k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs) * self.dt
-
-        for var in self.var_names:
-            pred[var] = (
-                prev_val[var]
-                + (
-                    self.ode[var](k_1, self.coeffs) / 6
-                    + self.ode[var](k_2, self.coeffs) / 3
-                    + self.ode[var](k_3, self.coeffs) / 3
-                    + self.ode[var](k_4, self.coeffs) / 6
-                )
-                * self.dt
-            )
-        
-        return pred
-
-    def solver(self, nt):
-        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
-
-        for n in range(nt - 1):
-            # create dictionary containing values from previous time step
-            prev_val = {var: pred[var][[n]] for var in self.var_names}
-            new_val = self.step_solver(prev_val)
-            for var in self.var_names:
-                pred[var] = torch.cat([pred[var], new_val[var]])
-
-        # reformat output to contain desired (observed) variables
-        return torch.stack([pred[var] for var in self.outvar], dim=1)
-
-    def forward(self, nt):
-        return self.solver(nt)
-
-    def get_coeffs(self):
-        return {name: param.item() for name, param in self.named_parameters()}
-    
-
-    def fit(self, x, optim, optim_params=None, max_epochs=10, scheduler=None, scheduler_params=None):
-        """Fits model to the given data by comparing the whole dataset
-
-        Args:
-            x (torch.Tensor): Original time series data
-            optim (torch.optim): Optimizer
-            optim_params: Optimizer parameters
-            max_epochs (int): Number of training epochs
-            scheduler (torch.optim.lr_scheduler): Learning rate scheduler
-            scheduler_params: Learning rate scheduler parameters
-        """
-        dataset = TensorDataset(x)
-        n = dataset.__len__()
-        loader = DataLoader(dataset, batch_size=n)
-
-        if optim_params is not None:
-            optimizer = optim(self.parameters(), **optim_params)
-        else:
-            optimizer = optim(self.parameters())
-
-        if scheduler is not None:
-            if scheduler_params is not None:
-                lr_scheduler = scheduler(optimizer, **scheduler_params)
-            else:
-                lr_scheduler = scheduler(optimizer)
-
-        for epoch in range(max_epochs):
-            for i, data in enumerate(loader, 0):
-                self.zero_grad()
-                loss = self._step(data, i, n)
-                loss.backward(retain_graph=True)
-                optimizer.step()
-            if scheduler is not None:
-                lr_scheduler.step()
-            
-            print("Epoch: " + str(epoch) + "\t Loss: " + str(loss))
-            print(self.coeffs)
-
-    def fit_random_sample(self, x, optim, optim_params=None, max_epochs=10, batch_size=64, scheduler=None, scheduler_params=None):
-        """Fits model to the given data by using random samples for each batch
-
-        Args:
-            x (torch.Tensor): Original time series data
-            optim (torch.optim): Optimizer
-            optim_params: Optimizer parameters
-            max_epochs (int): Number of training epochs
-            batch_size (int): Batch size for torch.utils.data.DataLoader
-            scheduler (torch.optim.lr_scheduler): Learning rate scheduler
-            scheduler_params: Learning rate scheduler parameters
-        """
-        dataset = TensorDataset(x)
-        loader = DataLoader(dataset, batch_size=batch_size)
-
-        if optim_params is not None:
-            optimizer = optim(self.parameters(), **optim_params)
-        else:
-            optimizer = optim(self.parameters())
-
-        if scheduler is not None:
-            if scheduler_params is not None:
-                lr_scheduler = scheduler(optimizer, **scheduler_params)
-            else:
-                lr_scheduler = scheduler(optimizer)
-
-        for epoch in range(max_epochs):
-            for i, data in enumerate(loader, 0):
-                self.zero_grad()
-
-                n = data[0].shape[0]
-
-                if n<3:
-                    continue
-
-                # Takes a random data point from "data"
-                ri = torch.randint(low=0,high=n-2,size=()).item()
-                single_point = data[0][ri:ri+1,:]
-                init_point = {var: single_point[0,i] for i,var in enumerate(self.var_names)}
-
-                pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
-
-                pred = self.step_solver(init_point)
-                
-                predictions = torch.stack([pred[var] for var in self.outvar], dim=0)
-
-                # Compare numerical integration data with next data point
-                loss = self.criterion(predictions, data[0][ri+1,:])
-
-                loss.backward(retain_graph=True)
-                optimizer.step()
-            
-            if scheduler is not None:
-                lr_scheduler.step()
-            
-            print("Epoch: " + str(epoch) + "\t Loss: " + str(loss))
-            print(self.coeffs)
-
-
-    def _step(self, batch, batch_idx, num_batches):
-        (x,) = batch
-        nt = x.shape[0]
-        pred = self(nt)
-        return self.criterion(pred, x)

From a5757c42a3adfe3f7ea69e857c153802a7dfc1b7 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Mon, 23 Aug 2021 22:40:57 -0400
Subject: [PATCH 34/73] Added tests for cosine

---
 .../Cos_wt_fitRandomSample.ipynb              | 325 ++++++++++++++++++
 .../Cos_wx_fitRandomSample.ipynb              | 267 ++++++++++++++
 2 files changed, 592 insertions(+)
 create mode 100644 examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb
 create mode 100644 examples/ode/DuffingEquation/Cos_wx_fitRandomSample.ipynb

diff --git a/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb b/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb
new file mode 100644
index 00000000..0ff37548
--- /dev/null
+++ b/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb
@@ -0,0 +1,325 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "import numpy as np\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Duffing equation: Second order ODE system\n",
+    "dt = 0.01\n",
+    "\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return torch.cos(coeffs[\"w\"]*prev_val[\"t\"])\n",
+    "\n",
+    "def t_prime(prev_val, coeffs):\n",
+    "    return 1\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"t\": t_prime}\n",
+    "\n",
+    "# Initial conditions [0,0,0]\n",
+    "ode_init = {\"x\": 0, \"t\": 0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"w\": 5.}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000,  0.0000],\n",
+       "        [ 0.0100,  0.0100],\n",
+       "        [ 0.0200,  0.0200],\n",
+       "        ...,\n",
+       "        [-0.0806,  9.9701],\n",
+       "        [-0.0713,  9.9801],\n",
+       "        [-0.0619,  9.9901]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 7
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T22:33:49.000225</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m853372f2d8\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m853372f2d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m853372f2d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m853372f2d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m853372f2d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m853372f2d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m853372f2d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m76c8f5b441\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"261.217017\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.20 -->\n      <g transform=\"translate(7.2 265.016235)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"230.976808\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.15 -->\n      <g transform=\"translate(7.2 234.776026)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"200.736598\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.10 -->\n      <g transform=\"translate(7.2 204.535817)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"170.496389\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −0.05 -->\n      <g transform=\"translate(7.2 174.295608)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"140.25618\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055399)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"110.015971\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.05 -->\n      <g transform=\"translate(15.579688 113.81519)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"79.775762\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.10 -->\n      <g transform=\"translate(15.579688 83.574981)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"49.535553\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.15 -->\n      <g transform=\"translate(15.579688 53.334772)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"19.295344\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 0.20 -->\n      <g transform=\"translate(15.579688 23.094563)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p1d79d702be)\" d=\"M 61.07804 140.25618 \nL 64.002816 87.642382 \nL 65.627692 62.331065 \nL 66.927593 45.5043 \nL 67.90252 35.331946 \nL 68.877446 27.515961 \nL 69.527395 23.703386 \nL 70.177345 21.055369 \nL 70.827295 19.598362 \nL 71.15227 19.321505 \nL 71.477245 19.346928 \nL 71.80222 19.674561 \nL 72.127194 20.303582 \nL 72.777144 22.458762 \nL 73.427094 25.790928 \nL 74.077044 30.266789 \nL 75.051968 39.024179 \nL 76.026893 50.055017 \nL 77.326792 67.864441 \nL 78.951668 94.090085 \nL 81.226492 135.226477 \nL 84.476241 193.783775 \nL 86.101115 218.956325 \nL 87.401015 235.636883 \nL 88.375939 245.682778 \nL 89.350864 253.361028 \nL 90.000814 257.077027 \nL 90.650763 259.6258 \nL 91.300713 260.981879 \nL 91.625688 261.207952 \nL 91.950663 261.131708 \nL 92.275638 260.753336 \nL 92.600613 260.073792 \nL 93.250563 257.818693 \nL 93.900514 254.38896 \nL 94.550464 249.818849 \nL 95.525389 240.928383 \nL 96.500313 229.777033 \nL 97.800213 211.831132 \nL 99.425087 185.481212 \nL 101.699911 144.270199 \nL 104.94966 85.819048 \nL 106.574534 60.787026 \nL 107.874434 44.253855 \nL 108.849359 34.335133 \nL 109.824283 26.795167 \nL 110.474233 23.175987 \nL 111.124183 20.726646 \nL 111.449158 19.948769 \nL 111.774133 19.471595 \nL 112.099107 19.296324 \nL 112.424082 19.423389 \nL 112.749057 19.852473 \nL 113.074032 20.582504 \nL 113.723982 22.937351 \nL 114.373932 26.464407 \nL 115.023881 31.128436 \nL 115.998806 40.151364 \nL 116.973731 51.422424 \nL 118.27363 69.503537 \nL 119.898505 95.97587 \nL 122.498304 143.306006 \nL 125.423077 195.599475 \nL 127.047956 220.489188 \nL 128.347855 236.873792 \nL 129.32278 246.664648 \nL 130.297705 254.065798 \nL 130.947654 257.58788 \nL 131.597604 259.937616 \nL 131.922579 260.665061 \nL 132.247554 261.09154 \nL 132.572529 261.216 \nL 132.897504 261.038125 \nL 133.222478 260.558356 \nL 133.547453 259.777892 \nL 134.197403 257.323441 \nL 134.847353 253.699304 \nL 135.497303 248.941674 \nL 136.472227 239.786923 \nL 137.447152 228.396927 \nL 138.747051 210.181866 \nL 140.371926 183.588966 \nL 142.971725 136.190253 \nL 145.571524 89.433465 \nL 147.196398 63.856881 \nL 148.496298 46.748581 \nL 149.471222 36.331822 \nL 150.446147 28.248975 \nL 151.096097 24.248962 \nL 151.746047 21.408047 \nL 152.395996 19.754626 \nL 152.720971 19.37885 \nL 153.045946 19.305211 \nL 153.370921 19.533888 \nL 153.695896 20.064297 \nL 154.345846 22.024307 \nL 154.995795 25.165647 \nL 155.645745 29.456927 \nL 156.62067 37.953159 \nL 157.595594 48.746893 \nL 158.895494 66.286696 \nL 160.520368 92.264791 \nL 162.795192 133.247384 \nL 166.044941 191.999667 \nL 167.669816 217.441009 \nL 168.969715 234.405436 \nL 169.94464 244.697149 \nL 170.919564 252.643344 \nL 171.569514 256.547321 \nL 172.219464 259.289363 \nL 172.869414 260.842062 \nL 173.194389 261.16709 \nL 173.519363 261.189909 \nL 173.844338 260.910466 \nL 174.169313 260.329444 \nL 174.819263 258.269244 \nL 175.469213 255.029896 \nL 176.119163 250.643761 \nL 177.094087 242.013255 \nL 178.069012 231.097504 \nL 179.368911 213.418781 \nL 180.993786 187.312806 \nL 183.26861 146.24993 \nL 186.518359 87.595712 \nL 188.143233 62.291429 \nL 189.443133 45.472072 \nL 190.418057 35.306134 \nL 191.39299 27.497134 \nL 192.042955 23.689489 \nL 192.69292 21.046573 \nL 193.342885 19.594784 \nL 193.667868 19.320567 \nL 193.992851 19.348632 \nL 194.317833 19.678914 \nL 194.642816 20.310585 \nL 195.292781 22.47101 \nL 195.942746 25.80834 \nL 196.592712 30.289221 \nL 197.56766 39.05374 \nL 198.542607 50.091085 \nL 199.842538 67.907952 \nL 201.467451 94.140478 \nL 203.742329 135.281103 \nL 206.992156 193.832423 \nL 208.617069 218.996853 \nL 209.916999 235.668778 \nL 210.891947 245.707165 \nL 211.866895 253.377178 \nL 212.51686 257.087373 \nL 213.166826 259.630153 \nL 213.816791 260.980112 \nL 214.141774 261.203094 \nL 214.466756 261.12375 \nL 214.791739 260.742278 \nL 215.116721 260.059634 \nL 215.766687 257.798406 \nL 216.416652 254.362662 \nL 217.066617 249.78672 \nL 218.041565 240.887972 \nL 219.016513 229.729078 \nL 220.316443 211.774584 \nL 221.941357 185.416783 \nL 224.216235 144.201046 \nL 227.466061 85.757075 \nL 229.090974 60.734548 \nL 230.390905 44.211398 \nL 231.365853 34.301364 \nL 232.340801 26.770897 \nL 232.990766 23.158413 \nL 233.640731 20.715958 \nL 233.965714 19.941577 \nL 234.290696 19.467927 \nL 234.615679 19.296198 \nL 234.940662 19.426813 \nL 235.265644 19.859448 \nL 235.590627 20.593012 \nL 236.240592 22.954879 \nL 236.890557 26.488803 \nL 237.540523 31.159474 \nL 238.515471 40.19182 \nL 239.490418 51.471433 \nL 240.790349 69.562256 \nL 242.415262 96.043435 \nL 245.015123 143.378727 \nL 247.614984 190.220602 \nL 249.239897 215.9206 \nL 250.539828 233.160713 \nL 251.514776 243.692252 \nL 252.489724 251.900686 \nL 253.139689 255.989037 \nL 253.789654 258.920941 \nL 254.439619 260.667107 \nL 254.764602 261.089612 \nL 255.089585 261.210079 \nL 255.414567 261.028202 \nL 255.73955 260.544441 \nL 256.064532 259.760002 \nL 256.714498 257.297675 \nL 257.364463 253.665823 \nL 258.014428 248.900749 \nL 258.989376 239.735463 \nL 259.964324 228.335923 \nL 261.264254 210.110069 \nL 262.889168 183.507414 \nL 265.489029 136.103205 \nL 268.08889 89.35427 \nL 269.713803 63.789054 \nL 271.013733 46.692985 \nL 271.988681 36.286914 \nL 272.963629 28.215828 \nL 273.613594 24.224106 \nL 274.26356 21.391771 \nL 274.913525 19.74711 \nL 275.238507 19.375768 \nL 275.56349 19.306571 \nL 275.888473 19.539692 \nL 276.213455 20.074553 \nL 276.863421 22.043368 \nL 277.513386 25.19336 \nL 278.163351 29.493049 \nL 279.138299 38.001231 \nL 280.113247 48.805897 \nL 281.413177 66.358222 \nL 283.038091 92.347952 \nL 285.312969 133.337983 \nL 288.562795 192.081345 \nL 290.187708 217.509943 \nL 291.487639 234.460753 \nL 292.462587 244.740579 \nL 293.437535 252.673751 \nL 294.0875 256.568545 \nL 294.737465 259.301106 \nL 295.38743 260.844126 \nL 295.712413 261.164269 \nL 296.037396 261.182195 \nL 296.362378 260.897839 \nL 296.687361 260.311933 \nL 297.337326 258.242027 \nL 297.987291 254.993171 \nL 298.637257 250.597816 \nL 299.612204 241.954206 \nL 300.587152 231.026523 \nL 301.887083 213.334155 \nL 303.511996 187.215577 \nL 305.786874 146.144828 \nL 309.036701 87.500821 \nL 310.661614 62.210679 \nL 311.961544 45.406355 \nL 312.936492 35.253485 \nL 313.91144 27.458805 \nL 314.561405 23.661208 \nL 315.211371 21.028612 \nL 315.861336 19.587331 \nL 316.186318 19.318396 \nL 316.511301 19.351759 \nL 316.836284 19.687322 \nL 317.161266 20.324257 \nL 317.811232 22.4951 \nL 318.461197 25.842596 \nL 319.111162 30.3333 \nL 320.08611 39.111698 \nL 321.061042 50.161633 \nL 322.360973 67.992731 \nL 323.985886 94.238238 \nL 326.260764 135.38673 \nL 329.510591 193.927192 \nL 331.135504 219.07709 \nL 332.435434 235.733747 \nL 333.410382 245.758959 \nL 334.38533 253.414624 \nL 335.035295 257.11478 \nL 335.685261 259.647241 \nL 336.335226 260.986709 \nL 336.660209 261.204419 \nL 336.985191 261.119794 \nL 337.310174 260.733059 \nL 337.635156 260.045169 \nL 338.285122 257.773578 \nL 338.935087 254.327713 \nL 339.585052 249.742001 \nL 340.56 240.829473 \nL 341.534948 229.658116 \nL 342.834878 211.689522 \nL 344.459792 185.318937 \nL 347.059653 138.048361 \nL 349.984496 85.66295 \nL 351.609409 60.655122 \nL 352.90934 44.147357 \nL 353.884288 34.25058 \nL 354.859236 26.734505 \nL 355.509201 23.132088 \nL 356.159166 20.69997 \nL 356.484149 19.930834 \nL 356.809131 19.462448 \nL 357.134114 19.296 \nL 357.459097 19.431887 \nL 357.784079 19.869785 \nL 358.109062 20.608585 \nL 358.759027 22.980799 \nL 359.408992 26.524808 \nL 360.058958 31.205229 \nL 361.033906 40.251292 \nL 362.008853 51.543279 \nL 363.308784 69.648058 \nL 364.933697 96.141831 \nL 367.533558 143.484377 \nL 370.133419 190.316835 \nL 371.758332 216.003044 \nL 373.058263 233.228395 \nL 374.033211 243.747047 \nL 375.008159 251.941368 \nL 375.658124 256.019778 \nL 376.308089 258.941444 \nL 376.958054 260.677156 \nL 377.283037 261.094397 \nL 377.60802 261.209592 \nL 377.933002 261.022434 \nL 378.257985 260.53341 \nL 378.582967 259.743735 \nL 379.232933 257.27108 \nL 379.882898 253.62917 \nL 380.532863 248.854399 \nL 381.507811 239.675477 \nL 382.482759 228.263645 \nL 383.782689 210.023975 \nL 385.407603 183.408932 \nL 385.732585 177.707335 \nL 385.732585 177.707335 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p1d79d702be\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,1], result_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"w\": 1.}\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(1.5049, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(1.9310e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(1.2897, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(3.4833e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(0.8742, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(1.6155, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(2.6926e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(2.2879, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(1.4539e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(2.0547, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(2.4550e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(1.0661, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(9.2919e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(1.2288, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(5.5473e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(1.8533, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(2.4368, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.5},\n",
+    "    max_epochs=10\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'w': Parameter containing:\n",
+       " tensor(2.4368, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 16
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs\n",
+    "\n",
+    "# The coefficients differ by at most 0.1 from the original with the exception of \"w\". THe graphs look similar.\n",
+    "# TODO: Investigate why \"w\" isn't learning"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000,  0.0000],\n",
+       "        [ 0.0100,  0.0100],\n",
+       "        [ 0.0200,  0.0200],\n",
+       "        ...,\n",
+       "        [-0.3032,  9.9701],\n",
+       "        [-0.2965,  9.9801],\n",
+       "        [-0.2896,  9.9901]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 19
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T22:35:47.104375</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m36883fc0f9\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.71554\" xlink:href=\"#m36883fc0f9\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(51.53429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"119.710578\" xlink:href=\"#m36883fc0f9\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(116.529328 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"184.705615\" xlink:href=\"#m36883fc0f9\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(181.524365 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.700653\" xlink:href=\"#m36883fc0f9\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(246.519403 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"314.695691\" xlink:href=\"#m36883fc0f9\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(311.514441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"379.690729\" xlink:href=\"#m36883fc0f9\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(373.328229 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m6eae5f818c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m6eae5f818c\" y=\"259.630211\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.4 -->\n      <g transform=\"translate(7.2 263.42943)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m6eae5f818c\" y=\"200.680052\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.2 -->\n      <g transform=\"translate(7.2 204.479271)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m6eae5f818c\" y=\"141.729893\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 145.529112)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m6eae5f818c\" y=\"82.779734\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.2 -->\n      <g transform=\"translate(15.579688 86.578953)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m6eae5f818c\" y=\"23.829575\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.4 -->\n      <g transform=\"translate(15.579688 27.628794)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p378ca705f4)\" d=\"M 54.71554 141.729893 \nL 59.590167 98.40002 \nL 62.18997 77.208822 \nL 64.13982 62.842089 \nL 66.089669 50.127297 \nL 67.714544 40.990474 \nL 69.014443 34.734922 \nL 70.314343 29.481128 \nL 71.614243 25.278958 \nL 72.589168 22.841854 \nL 73.564092 21.031963 \nL 74.214042 20.178739 \nL 74.863992 19.61067 \nL 75.513942 19.329108 \nL 76.163891 19.334712 \nL 76.813841 19.627474 \nL 77.463791 20.206699 \nL 78.113741 21.071017 \nL 79.088665 22.89737 \nL 80.06359 25.350638 \nL 81.038515 28.417723 \nL 82.338414 33.43321 \nL 83.638314 39.462803 \nL 84.938213 46.449258 \nL 86.563088 56.426076 \nL 88.512939 70.024595 \nL 90.787763 87.761492 \nL 93.387562 109.865831 \nL 98.262185 153.722411 \nL 101.836909 185.078881 \nL 104.436708 205.993335 \nL 106.386557 220.084932 \nL 108.336406 232.473046 \nL 109.961281 241.303281 \nL 111.26118 247.294312 \nL 112.56108 252.269189 \nL 113.536005 255.304712 \nL 114.510929 257.725654 \nL 115.485854 259.519083 \nL 116.135804 260.361221 \nL 116.785753 260.918126 \nL 117.435703 261.188496 \nL 118.085653 261.171683 \nL 118.735603 260.867722 \nL 119.385552 260.277341 \nL 120.035506 259.401936 \nL 121.010431 257.55914 \nL 121.985355 255.089727 \nL 122.96028 252.006882 \nL 124.260179 246.971131 \nL 125.560079 240.92229 \nL 127.184953 232.024935 \nL 128.809828 221.766942 \nL 130.759677 207.87675 \nL 133.034501 189.870369 \nL 135.959275 164.681443 \nL 145.058572 84.508409 \nL 147.333396 67.09504 \nL 149.283245 53.841923 \nL 150.90812 44.195419 \nL 152.532994 35.973187 \nL 153.832893 30.503563 \nL 155.132793 26.075857 \nL 156.107718 23.464517 \nL 157.082642 21.47707 \nL 157.732592 20.50409 \nL 158.382542 19.815492 \nL 159.032492 19.41291 \nL 159.682441 19.2973 \nL 160.332391 19.468936 \nL 160.982341 19.927421 \nL 161.632291 20.67165 \nL 162.28224 21.699874 \nL 163.257165 23.769155 \nL 164.23209 26.460687 \nL 165.207014 29.760107 \nL 166.506914 35.074021 \nL 167.806813 41.386468 \nL 169.431688 50.58905 \nL 171.056562 61.121121 \nL 173.006411 75.293397 \nL 175.281235 93.556828 \nL 178.206009 118.951176 \nL 186.655403 193.578389 \nL 188.930281 211.234893 \nL 190.880177 224.747107 \nL 192.50509 234.641098 \nL 194.130003 243.135598 \nL 195.429934 248.83819 \nL 196.729864 253.50993 \nL 197.704812 256.310176 \nL 198.67976 258.490447 \nL 199.654708 260.039103 \nL 200.304673 260.716413 \nL 200.954638 261.107646 \nL 201.604604 261.211871 \nL 202.254569 261.028851 \nL 202.904534 260.559017 \nL 203.554499 259.803474 \nL 204.204465 258.764024 \nL 205.179412 256.678105 \nL 206.15436 253.970252 \nL 207.129308 250.654924 \nL 208.429239 245.320612 \nL 209.729169 238.988831 \nL 211.354082 229.763858 \nL 212.978996 219.211733 \nL 214.928891 205.018871 \nL 217.20377 186.736782 \nL 220.128613 161.327799 \nL 228.253179 89.380269 \nL 230.528057 71.49024 \nL 232.477953 57.726488 \nL 234.102866 47.590684 \nL 235.727779 38.828887 \nL 237.02771 32.896781 \nL 238.32764 27.983939 \nL 239.302588 24.996632 \nL 240.277536 22.625067 \nL 241.252484 20.88191 \nL 241.902449 20.073662 \nL 242.552415 19.550831 \nL 243.20238 19.314667 \nL 243.852345 19.365721 \nL 244.50231 19.703879 \nL 245.152276 20.328344 \nL 245.802241 21.237611 \nL 246.777189 23.130645 \nL 247.752137 25.64939 \nL 248.727085 28.780381 \nL 250.027015 33.878062 \nL 251.326946 39.985686 \nL 252.951859 48.951243 \nL 254.576772 59.270656 \nL 256.526668 73.224292 \nL 258.801546 91.288838 \nL 261.72639 116.524925 \nL 270.500921 194.007109 \nL 272.775799 211.621466 \nL 274.725695 225.08856 \nL 276.350608 234.939341 \nL 277.975521 243.386231 \nL 279.275452 249.048002 \nL 280.575382 253.676946 \nL 281.55033 256.444022 \nL 282.525278 258.59042 \nL 283.500226 260.104668 \nL 284.150191 260.758832 \nL 284.800156 261.126813 \nL 285.450121 261.207752 \nL 286.100087 261.001444 \nL 286.750052 260.508384 \nL 287.400017 259.729739 \nL 288.049982 258.66737 \nL 289.02493 256.547518 \nL 289.999878 253.806425 \nL 290.974826 250.458727 \nL 292.274757 245.08291 \nL 293.574687 238.71189 \nL 295.1996 229.441616 \nL 296.824513 218.84896 \nL 298.774409 204.614606 \nL 301.049288 186.295066 \nL 303.974131 160.856891 \nL 312.098697 88.946968 \nL 314.373575 71.097504 \nL 316.323456 57.377639 \nL 317.948369 47.28414 \nL 319.573282 38.569198 \nL 320.873212 32.677386 \nL 322.173143 27.80691 \nL 323.148091 24.852509 \nL 324.123039 22.514614 \nL 325.097986 20.805724 \nL 325.747952 20.020552 \nL 326.397917 19.520921 \nL 327.047882 19.308034 \nL 327.697847 19.382384 \nL 328.347813 19.743795 \nL 328.997778 20.391406 \nL 329.647743 21.323688 \nL 330.622691 23.250831 \nL 331.597639 25.803036 \nL 332.572587 28.966669 \nL 333.872517 34.106286 \nL 335.172448 40.253685 \nL 336.797361 49.26535 \nL 338.422274 59.626207 \nL 340.37217 73.622561 \nL 342.647048 91.726153 \nL 345.571892 116.993668 \nL 354.346423 194.434757 \nL 356.621301 212.006717 \nL 358.571197 225.42851 \nL 360.19611 235.23595 \nL 361.821023 243.635089 \nL 363.120954 249.255978 \nL 364.420884 253.842046 \nL 365.395832 256.575926 \nL 366.37078 258.688418 \nL 367.345728 260.168231 \nL 367.995693 260.79924 \nL 368.645659 261.143978 \nL 369.295624 261.20162 \nL 369.945589 260.972035 \nL 370.595554 260.455758 \nL 371.24552 259.654036 \nL 371.895485 258.568767 \nL 372.870433 256.415016 \nL 373.845381 253.640728 \nL 374.820328 250.26073 \nL 376.120259 244.843504 \nL 377.420189 238.433359 \nL 379.045103 229.117934 \nL 379.370085 227.091959 \nL 379.370085 227.091959 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482813 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p378ca705f4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.io\n",
+    "\n",
+    "scipy.io.savemat(\"Duffing_fitRandomSample.mat\", {\"x\": results_test_np})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/examples/ode/DuffingEquation/Cos_wx_fitRandomSample.ipynb b/examples/ode/DuffingEquation/Cos_wx_fitRandomSample.ipynb
new file mode 100644
index 00000000..45fa59d7
--- /dev/null
+++ b/examples/ode/DuffingEquation/Cos_wx_fitRandomSample.ipynb
@@ -0,0 +1,267 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "import numpy as np\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Duffing equation: Second order ODE system\n",
+    "dt = 0.01\n",
+    "\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return torch.cos(coeffs[\"w\"]*prev_val[\"x\"])\n",
+    "\n",
+    "ode = {\"x\": x_prime}\n",
+    "\n",
+    "# Initial conditions [0,0,0]\n",
+    "ode_init = {\"x\": 0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"w\": 5.}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T22:37:27.236428</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"md9d41034ab\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#md9d41034ab\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(49.517102 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.694257\" xlink:href=\"#md9d41034ab\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(108.150507 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.690162\" xlink:href=\"#md9d41034ab\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(173.146412 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.686067\" xlink:href=\"#md9d41034ab\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(238.142317 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.681972\" xlink:href=\"#md9d41034ab\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(303.138222 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.677877\" xlink:href=\"#md9d41034ab\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(364.952877 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m0d4a16fd93\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m0d4a16fd93\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m0d4a16fd93\" y=\"222.713201\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.05 -->\n      <g transform=\"translate(7.2 226.512419)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m0d4a16fd93\" y=\"184.210401\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.10 -->\n      <g transform=\"translate(7.2 188.00962)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m0d4a16fd93\" y=\"145.707602\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.15 -->\n      <g transform=\"translate(7.2 149.506821)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m0d4a16fd93\" y=\"107.204803\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.20 -->\n      <g transform=\"translate(7.2 111.004022)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m0d4a16fd93\" y=\"68.702004\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 72.501222)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m0d4a16fd93\" y=\"30.199204\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.30 -->\n      <g transform=\"translate(7.2 33.998423)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p751f1e78c4)\" d=\"M 52.698352 261.216 \nL 55.623168 194.138146 \nL 57.248066 161.267042 \nL 58.872963 132.963523 \nL 60.172881 113.750594 \nL 61.472799 97.427621 \nL 62.772718 83.716915 \nL 64.072636 72.292848 \nL 65.372554 62.827264 \nL 66.672472 55.01458 \nL 67.97239 48.583064 \nL 69.272308 43.298011 \nL 70.572226 38.960242 \nL 71.872144 35.402893 \nL 73.172062 32.487118 \nL 74.47198 30.098103 \nL 75.771899 28.141157 \nL 77.071817 26.538435 \nL 78.696714 24.936793 \nL 80.321612 23.689192 \nL 81.94651 22.717466 \nL 83.896387 21.830699 \nL 86.171243 21.082133 \nL 88.77108 20.493227 \nL 92.020875 20.022052 \nL 95.920629 19.69438 \nL 101.445281 19.466124 \nL 110.869687 19.33568 \nL 135.568131 19.296711 \nL 377.352898 19.296 \nL 377.352898 19.296 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p751f1e78c4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"w\": 1.}\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(1.2359e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(6.0375, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(1.2707e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.7501, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(2.7073e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.8977, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(1.1740e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0984, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(3.1233e-10, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0082, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(4.2481e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9832, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(8.0158e-10, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9903, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(1.2423e-10, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9958, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(8.9816e-11, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9973, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(5.4187e-11, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9982, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.5},\n",
+    "    max_epochs=10\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'w': Parameter containing:\n",
+       " tensor(4.9982, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 11
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs\n",
+    "\n",
+    "# The coefficients differ by at most 0.1 from the original with the exception of \"w\". THe graphs look similar.\n",
+    "# TODO: Investigate why \"w\" isn't learning"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_test = ode_solver_train(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T22:40:16.404537</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m0f81f97043\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m0f81f97043\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(49.517102 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.694257\" xlink:href=\"#m0f81f97043\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(108.150507 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.690162\" xlink:href=\"#m0f81f97043\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(173.146412 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.686067\" xlink:href=\"#m0f81f97043\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(238.142317 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.681972\" xlink:href=\"#m0f81f97043\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(303.138222 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.677877\" xlink:href=\"#m0f81f97043\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(364.952877 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mfe7d6dc65a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mfe7d6dc65a\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mfe7d6dc65a\" y=\"222.726864\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.05 -->\n      <g transform=\"translate(7.2 226.526082)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mfe7d6dc65a\" y=\"184.237727\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.10 -->\n      <g transform=\"translate(7.2 188.036946)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mfe7d6dc65a\" y=\"145.748591\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.15 -->\n      <g transform=\"translate(7.2 149.54781)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mfe7d6dc65a\" y=\"107.259454\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.20 -->\n      <g transform=\"translate(7.2 111.058673)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mfe7d6dc65a\" y=\"68.770318\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 72.569537)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mfe7d6dc65a\" y=\"30.281182\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.30 -->\n      <g transform=\"translate(7.2 34.0804)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p41c4c2106b)\" d=\"M 52.698352 261.216 \nL 55.948148 186.854303 \nL 57.573045 154.492037 \nL 59.197943 126.826396 \nL 60.497861 108.172516 \nL 61.797779 92.419153 \nL 63.097697 79.265212 \nL 64.397615 68.368776 \nL 65.697533 59.391772 \nL 66.997451 52.023618 \nL 68.297369 45.991223 \nL 69.597288 41.060768 \nL 70.897206 37.035531 \nL 72.197124 33.751803 \nL 73.497042 31.074322 \nL 74.79696 28.891892 \nL 76.096878 27.113367 \nL 77.396796 25.664233 \nL 79.021694 24.224345 \nL 80.646591 23.109902 \nL 82.271489 22.2474 \nL 84.221366 21.465766 \nL 86.496223 20.811365 \nL 89.096059 20.301403 \nL 92.345854 19.898003 \nL 96.570588 19.605019 \nL 103.070179 19.406669 \nL 114.769442 19.313321 \nL 162.541432 19.296 \nL 377.352898 19.296 \nL 377.352898 19.296 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p41c4c2106b\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file

From d4a88c4486f8364c64e86baaf0a7947f063b2df7 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Mon, 23 Aug 2021 22:44:26 -0400
Subject: [PATCH 35/73] FIxed comment

---
 examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb    | 5 +----
 examples/ode/DuffingEquation/Cos_wx_fitRandomSample.ipynb    | 5 +----
 .../DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb | 3 +--
 .../DuffingTest_fitRandomSample_with_w_RK4.ipynb             | 3 +--
 examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb    | 3 +--
 5 files changed, 5 insertions(+), 14 deletions(-)

diff --git a/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb b/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb
index 0ff37548..448b1051 100644
--- a/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb
+++ b/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb
@@ -216,10 +216,7 @@
     }
    ],
    "source": [
-    "ode_solver_train.coeffs\n",
-    "\n",
-    "# The coefficients differ by at most 0.1 from the original with the exception of \"w\". THe graphs look similar.\n",
-    "# TODO: Investigate why \"w\" isn't learning"
+    "ode_solver_train.coeffs"
    ]
   },
   {
diff --git a/examples/ode/DuffingEquation/Cos_wx_fitRandomSample.ipynb b/examples/ode/DuffingEquation/Cos_wx_fitRandomSample.ipynb
index 45fa59d7..aeb3b58c 100644
--- a/examples/ode/DuffingEquation/Cos_wx_fitRandomSample.ipynb
+++ b/examples/ode/DuffingEquation/Cos_wx_fitRandomSample.ipynb
@@ -187,10 +187,7 @@
     }
    ],
    "source": [
-    "ode_solver_train.coeffs\n",
-    "\n",
-    "# The coefficients differ by at most 0.1 from the original with the exception of \"w\". THe graphs look similar.\n",
-    "# TODO: Investigate why \"w\" isn't learning"
+    "ode_solver_train.coeffs"
    ]
   },
   {
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb
index 494b2183..7db9ea26 100644
--- a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb
@@ -294,8 +294,7 @@
    "source": [
     "ode_solver_train.coeffs\n",
     "\n",
-    "# The coefficients differ by at most 0.1 from the original with the exception of \"w\". THe graphs look similar.\n",
-    "# TODO: Investigate why \"w\" isn't learning"
+    "# Awful results"
    ]
   },
   {
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
index d4d98bad..ddfaa625 100644
--- a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
@@ -294,8 +294,7 @@
    "source": [
     "ode_solver_train.coeffs\n",
     "\n",
-    "# The coefficients differ by at most 0.1 from the original with the exception of \"w\". THe graphs look similar.\n",
-    "# TODO: Investigate why \"w\" isn't learning"
+    "# Awful results"
    ]
   },
   {
diff --git a/examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb b/examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb
index b8ce686f..22ff5a55 100644
--- a/examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb
@@ -601,8 +601,7 @@
    "source": [
     "ode_solver_train.coeffs\n",
     "\n",
-    "# \"b\", \"d\", \"g\" differ by at most 0.1. \"a\" differs by 0.1094.\n",
-    "# TODO: Investigate why \"w\" isn't learning"
+    "# Awful results"
    ]
   },
   {

From 2c07f70d19ad9f637d7e05dfbe88f2809f95ec84 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Tue, 24 Aug 2021 01:42:54 -0400
Subject: [PATCH 36/73] Trying more predictions for cos(wt)

---
 .../Cos_wt_fitRandomSample.ipynb              | 481 ++++++++++-
 .../Cos_wx_fitRandomSample.ipynb              | 264 ------
 .../a_Cos_wt_fitRandomSample.ipynb            | 813 ++++++++++++++++++
 3 files changed, 1247 insertions(+), 311 deletions(-)
 delete mode 100644 examples/ode/DuffingEquation/Cos_wx_fitRandomSample.ipynb
 create mode 100644 examples/ode/DuffingEquation/a_Cos_wt_fitRandomSample.ipynb

diff --git a/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb b/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb
index 448b1051..881809ba 100644
--- a/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb
+++ b/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -57,7 +57,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -75,7 +75,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -92,7 +92,7 @@
       ]
      },
      "metadata": {},
-     "execution_count": 7
+     "execution_count": 5
     }
    ],
    "source": [
@@ -101,14 +101,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T22:33:49.000225</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m853372f2d8\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m853372f2d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m853372f2d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m853372f2d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m853372f2d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m853372f2d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m853372f2d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m76c8f5b441\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"261.217017\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.20 -->\n      <g transform=\"translate(7.2 265.016235)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"230.976808\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.15 -->\n      <g transform=\"translate(7.2 234.776026)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"200.736598\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.10 -->\n      <g transform=\"translate(7.2 204.535817)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"170.496389\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −0.05 -->\n      <g transform=\"translate(7.2 174.295608)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"140.25618\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055399)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"110.015971\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.05 -->\n      <g transform=\"translate(15.579688 113.81519)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"79.775762\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.10 -->\n      <g transform=\"translate(15.579688 83.574981)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"49.535553\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.15 -->\n      <g transform=\"translate(15.579688 53.334772)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m76c8f5b441\" y=\"19.295344\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 0.20 -->\n      <g transform=\"translate(15.579688 23.094563)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p1d79d702be)\" d=\"M 61.07804 140.25618 \nL 64.002816 87.642382 \nL 65.627692 62.331065 \nL 66.927593 45.5043 \nL 67.90252 35.331946 \nL 68.877446 27.515961 \nL 69.527395 23.703386 \nL 70.177345 21.055369 \nL 70.827295 19.598362 \nL 71.15227 19.321505 \nL 71.477245 19.346928 \nL 71.80222 19.674561 \nL 72.127194 20.303582 \nL 72.777144 22.458762 \nL 73.427094 25.790928 \nL 74.077044 30.266789 \nL 75.051968 39.024179 \nL 76.026893 50.055017 \nL 77.326792 67.864441 \nL 78.951668 94.090085 \nL 81.226492 135.226477 \nL 84.476241 193.783775 \nL 86.101115 218.956325 \nL 87.401015 235.636883 \nL 88.375939 245.682778 \nL 89.350864 253.361028 \nL 90.000814 257.077027 \nL 90.650763 259.6258 \nL 91.300713 260.981879 \nL 91.625688 261.207952 \nL 91.950663 261.131708 \nL 92.275638 260.753336 \nL 92.600613 260.073792 \nL 93.250563 257.818693 \nL 93.900514 254.38896 \nL 94.550464 249.818849 \nL 95.525389 240.928383 \nL 96.500313 229.777033 \nL 97.800213 211.831132 \nL 99.425087 185.481212 \nL 101.699911 144.270199 \nL 104.94966 85.819048 \nL 106.574534 60.787026 \nL 107.874434 44.253855 \nL 108.849359 34.335133 \nL 109.824283 26.795167 \nL 110.474233 23.175987 \nL 111.124183 20.726646 \nL 111.449158 19.948769 \nL 111.774133 19.471595 \nL 112.099107 19.296324 \nL 112.424082 19.423389 \nL 112.749057 19.852473 \nL 113.074032 20.582504 \nL 113.723982 22.937351 \nL 114.373932 26.464407 \nL 115.023881 31.128436 \nL 115.998806 40.151364 \nL 116.973731 51.422424 \nL 118.27363 69.503537 \nL 119.898505 95.97587 \nL 122.498304 143.306006 \nL 125.423077 195.599475 \nL 127.047956 220.489188 \nL 128.347855 236.873792 \nL 129.32278 246.664648 \nL 130.297705 254.065798 \nL 130.947654 257.58788 \nL 131.597604 259.937616 \nL 131.922579 260.665061 \nL 132.247554 261.09154 \nL 132.572529 261.216 \nL 132.897504 261.038125 \nL 133.222478 260.558356 \nL 133.547453 259.777892 \nL 134.197403 257.323441 \nL 134.847353 253.699304 \nL 135.497303 248.941674 \nL 136.472227 239.786923 \nL 137.447152 228.396927 \nL 138.747051 210.181866 \nL 140.371926 183.588966 \nL 142.971725 136.190253 \nL 145.571524 89.433465 \nL 147.196398 63.856881 \nL 148.496298 46.748581 \nL 149.471222 36.331822 \nL 150.446147 28.248975 \nL 151.096097 24.248962 \nL 151.746047 21.408047 \nL 152.395996 19.754626 \nL 152.720971 19.37885 \nL 153.045946 19.305211 \nL 153.370921 19.533888 \nL 153.695896 20.064297 \nL 154.345846 22.024307 \nL 154.995795 25.165647 \nL 155.645745 29.456927 \nL 156.62067 37.953159 \nL 157.595594 48.746893 \nL 158.895494 66.286696 \nL 160.520368 92.264791 \nL 162.795192 133.247384 \nL 166.044941 191.999667 \nL 167.669816 217.441009 \nL 168.969715 234.405436 \nL 169.94464 244.697149 \nL 170.919564 252.643344 \nL 171.569514 256.547321 \nL 172.219464 259.289363 \nL 172.869414 260.842062 \nL 173.194389 261.16709 \nL 173.519363 261.189909 \nL 173.844338 260.910466 \nL 174.169313 260.329444 \nL 174.819263 258.269244 \nL 175.469213 255.029896 \nL 176.119163 250.643761 \nL 177.094087 242.013255 \nL 178.069012 231.097504 \nL 179.368911 213.418781 \nL 180.993786 187.312806 \nL 183.26861 146.24993 \nL 186.518359 87.595712 \nL 188.143233 62.291429 \nL 189.443133 45.472072 \nL 190.418057 35.306134 \nL 191.39299 27.497134 \nL 192.042955 23.689489 \nL 192.69292 21.046573 \nL 193.342885 19.594784 \nL 193.667868 19.320567 \nL 193.992851 19.348632 \nL 194.317833 19.678914 \nL 194.642816 20.310585 \nL 195.292781 22.47101 \nL 195.942746 25.80834 \nL 196.592712 30.289221 \nL 197.56766 39.05374 \nL 198.542607 50.091085 \nL 199.842538 67.907952 \nL 201.467451 94.140478 \nL 203.742329 135.281103 \nL 206.992156 193.832423 \nL 208.617069 218.996853 \nL 209.916999 235.668778 \nL 210.891947 245.707165 \nL 211.866895 253.377178 \nL 212.51686 257.087373 \nL 213.166826 259.630153 \nL 213.816791 260.980112 \nL 214.141774 261.203094 \nL 214.466756 261.12375 \nL 214.791739 260.742278 \nL 215.116721 260.059634 \nL 215.766687 257.798406 \nL 216.416652 254.362662 \nL 217.066617 249.78672 \nL 218.041565 240.887972 \nL 219.016513 229.729078 \nL 220.316443 211.774584 \nL 221.941357 185.416783 \nL 224.216235 144.201046 \nL 227.466061 85.757075 \nL 229.090974 60.734548 \nL 230.390905 44.211398 \nL 231.365853 34.301364 \nL 232.340801 26.770897 \nL 232.990766 23.158413 \nL 233.640731 20.715958 \nL 233.965714 19.941577 \nL 234.290696 19.467927 \nL 234.615679 19.296198 \nL 234.940662 19.426813 \nL 235.265644 19.859448 \nL 235.590627 20.593012 \nL 236.240592 22.954879 \nL 236.890557 26.488803 \nL 237.540523 31.159474 \nL 238.515471 40.19182 \nL 239.490418 51.471433 \nL 240.790349 69.562256 \nL 242.415262 96.043435 \nL 245.015123 143.378727 \nL 247.614984 190.220602 \nL 249.239897 215.9206 \nL 250.539828 233.160713 \nL 251.514776 243.692252 \nL 252.489724 251.900686 \nL 253.139689 255.989037 \nL 253.789654 258.920941 \nL 254.439619 260.667107 \nL 254.764602 261.089612 \nL 255.089585 261.210079 \nL 255.414567 261.028202 \nL 255.73955 260.544441 \nL 256.064532 259.760002 \nL 256.714498 257.297675 \nL 257.364463 253.665823 \nL 258.014428 248.900749 \nL 258.989376 239.735463 \nL 259.964324 228.335923 \nL 261.264254 210.110069 \nL 262.889168 183.507414 \nL 265.489029 136.103205 \nL 268.08889 89.35427 \nL 269.713803 63.789054 \nL 271.013733 46.692985 \nL 271.988681 36.286914 \nL 272.963629 28.215828 \nL 273.613594 24.224106 \nL 274.26356 21.391771 \nL 274.913525 19.74711 \nL 275.238507 19.375768 \nL 275.56349 19.306571 \nL 275.888473 19.539692 \nL 276.213455 20.074553 \nL 276.863421 22.043368 \nL 277.513386 25.19336 \nL 278.163351 29.493049 \nL 279.138299 38.001231 \nL 280.113247 48.805897 \nL 281.413177 66.358222 \nL 283.038091 92.347952 \nL 285.312969 133.337983 \nL 288.562795 192.081345 \nL 290.187708 217.509943 \nL 291.487639 234.460753 \nL 292.462587 244.740579 \nL 293.437535 252.673751 \nL 294.0875 256.568545 \nL 294.737465 259.301106 \nL 295.38743 260.844126 \nL 295.712413 261.164269 \nL 296.037396 261.182195 \nL 296.362378 260.897839 \nL 296.687361 260.311933 \nL 297.337326 258.242027 \nL 297.987291 254.993171 \nL 298.637257 250.597816 \nL 299.612204 241.954206 \nL 300.587152 231.026523 \nL 301.887083 213.334155 \nL 303.511996 187.215577 \nL 305.786874 146.144828 \nL 309.036701 87.500821 \nL 310.661614 62.210679 \nL 311.961544 45.406355 \nL 312.936492 35.253485 \nL 313.91144 27.458805 \nL 314.561405 23.661208 \nL 315.211371 21.028612 \nL 315.861336 19.587331 \nL 316.186318 19.318396 \nL 316.511301 19.351759 \nL 316.836284 19.687322 \nL 317.161266 20.324257 \nL 317.811232 22.4951 \nL 318.461197 25.842596 \nL 319.111162 30.3333 \nL 320.08611 39.111698 \nL 321.061042 50.161633 \nL 322.360973 67.992731 \nL 323.985886 94.238238 \nL 326.260764 135.38673 \nL 329.510591 193.927192 \nL 331.135504 219.07709 \nL 332.435434 235.733747 \nL 333.410382 245.758959 \nL 334.38533 253.414624 \nL 335.035295 257.11478 \nL 335.685261 259.647241 \nL 336.335226 260.986709 \nL 336.660209 261.204419 \nL 336.985191 261.119794 \nL 337.310174 260.733059 \nL 337.635156 260.045169 \nL 338.285122 257.773578 \nL 338.935087 254.327713 \nL 339.585052 249.742001 \nL 340.56 240.829473 \nL 341.534948 229.658116 \nL 342.834878 211.689522 \nL 344.459792 185.318937 \nL 347.059653 138.048361 \nL 349.984496 85.66295 \nL 351.609409 60.655122 \nL 352.90934 44.147357 \nL 353.884288 34.25058 \nL 354.859236 26.734505 \nL 355.509201 23.132088 \nL 356.159166 20.69997 \nL 356.484149 19.930834 \nL 356.809131 19.462448 \nL 357.134114 19.296 \nL 357.459097 19.431887 \nL 357.784079 19.869785 \nL 358.109062 20.608585 \nL 358.759027 22.980799 \nL 359.408992 26.524808 \nL 360.058958 31.205229 \nL 361.033906 40.251292 \nL 362.008853 51.543279 \nL 363.308784 69.648058 \nL 364.933697 96.141831 \nL 367.533558 143.484377 \nL 370.133419 190.316835 \nL 371.758332 216.003044 \nL 373.058263 233.228395 \nL 374.033211 243.747047 \nL 375.008159 251.941368 \nL 375.658124 256.019778 \nL 376.308089 258.941444 \nL 376.958054 260.677156 \nL 377.283037 261.094397 \nL 377.60802 261.209592 \nL 377.933002 261.022434 \nL 378.257985 260.53341 \nL 378.582967 259.743735 \nL 379.232933 257.27108 \nL 379.882898 253.62917 \nL 380.532863 248.854399 \nL 381.507811 239.675477 \nL 382.482759 228.263645 \nL 383.782689 210.023975 \nL 385.407603 183.408932 \nL 385.732585 177.707335 \nL 385.732585 177.707335 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p1d79d702be\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T01:11:13.888998</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mfccf140a16\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#mfccf140a16\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#mfccf140a16\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#mfccf140a16\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#mfccf140a16\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#mfccf140a16\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#mfccf140a16\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m2cf0e38ffd\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"261.217017\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.20 -->\n      <g transform=\"translate(7.2 265.016235)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"230.976808\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.15 -->\n      <g transform=\"translate(7.2 234.776026)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"200.736598\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.10 -->\n      <g transform=\"translate(7.2 204.535817)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"170.496389\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −0.05 -->\n      <g transform=\"translate(7.2 174.295608)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"140.25618\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055399)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"110.015971\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.05 -->\n      <g transform=\"translate(15.579688 113.81519)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"79.775762\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.10 -->\n      <g transform=\"translate(15.579688 83.574981)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"49.535553\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.15 -->\n      <g transform=\"translate(15.579688 53.334772)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"19.295344\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 0.20 -->\n      <g transform=\"translate(15.579688 23.094563)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p4a3d6c6de5)\" d=\"M 61.07804 140.25618 \nL 64.002816 87.642382 \nL 65.627692 62.331065 \nL 66.927593 45.5043 \nL 67.90252 35.331946 \nL 68.877446 27.515961 \nL 69.527395 23.703386 \nL 70.177345 21.055369 \nL 70.827295 19.598362 \nL 71.15227 19.321505 \nL 71.477245 19.346928 \nL 71.80222 19.674561 \nL 72.127194 20.303582 \nL 72.777144 22.458762 \nL 73.427094 25.790928 \nL 74.077044 30.266789 \nL 75.051968 39.024179 \nL 76.026893 50.055017 \nL 77.326792 67.864441 \nL 78.951668 94.090085 \nL 81.226492 135.226477 \nL 84.476241 193.783775 \nL 86.101115 218.956325 \nL 87.401015 235.636883 \nL 88.375939 245.682778 \nL 89.350864 253.361028 \nL 90.000814 257.077027 \nL 90.650763 259.6258 \nL 91.300713 260.981879 \nL 91.625688 261.207952 \nL 91.950663 261.131708 \nL 92.275638 260.753336 \nL 92.600613 260.073792 \nL 93.250563 257.818693 \nL 93.900514 254.38896 \nL 94.550464 249.818849 \nL 95.525389 240.928383 \nL 96.500313 229.777033 \nL 97.800213 211.831132 \nL 99.425087 185.481212 \nL 101.699911 144.270199 \nL 104.94966 85.819048 \nL 106.574534 60.787026 \nL 107.874434 44.253855 \nL 108.849359 34.335133 \nL 109.824283 26.795167 \nL 110.474233 23.175987 \nL 111.124183 20.726646 \nL 111.449158 19.948769 \nL 111.774133 19.471595 \nL 112.099107 19.296324 \nL 112.424082 19.423389 \nL 112.749057 19.852473 \nL 113.074032 20.582504 \nL 113.723982 22.937351 \nL 114.373932 26.464407 \nL 115.023881 31.128436 \nL 115.998806 40.151364 \nL 116.973731 51.422424 \nL 118.27363 69.503537 \nL 119.898505 95.97587 \nL 122.498304 143.306006 \nL 125.423077 195.599475 \nL 127.047956 220.489188 \nL 128.347855 236.873792 \nL 129.32278 246.664648 \nL 130.297705 254.065798 \nL 130.947654 257.58788 \nL 131.597604 259.937616 \nL 131.922579 260.665061 \nL 132.247554 261.09154 \nL 132.572529 261.216 \nL 132.897504 261.038125 \nL 133.222478 260.558356 \nL 133.547453 259.777892 \nL 134.197403 257.323441 \nL 134.847353 253.699304 \nL 135.497303 248.941674 \nL 136.472227 239.786923 \nL 137.447152 228.396927 \nL 138.747051 210.181866 \nL 140.371926 183.588966 \nL 142.971725 136.190253 \nL 145.571524 89.433465 \nL 147.196398 63.856881 \nL 148.496298 46.748581 \nL 149.471222 36.331822 \nL 150.446147 28.248975 \nL 151.096097 24.248962 \nL 151.746047 21.408047 \nL 152.395996 19.754626 \nL 152.720971 19.37885 \nL 153.045946 19.305211 \nL 153.370921 19.533888 \nL 153.695896 20.064297 \nL 154.345846 22.024307 \nL 154.995795 25.165647 \nL 155.645745 29.456927 \nL 156.62067 37.953159 \nL 157.595594 48.746893 \nL 158.895494 66.286696 \nL 160.520368 92.264791 \nL 162.795192 133.247384 \nL 166.044941 191.999667 \nL 167.669816 217.441009 \nL 168.969715 234.405436 \nL 169.94464 244.697149 \nL 170.919564 252.643344 \nL 171.569514 256.547321 \nL 172.219464 259.289363 \nL 172.869414 260.842062 \nL 173.194389 261.16709 \nL 173.519363 261.189909 \nL 173.844338 260.910466 \nL 174.169313 260.329444 \nL 174.819263 258.269244 \nL 175.469213 255.029896 \nL 176.119163 250.643761 \nL 177.094087 242.013255 \nL 178.069012 231.097504 \nL 179.368911 213.418781 \nL 180.993786 187.312806 \nL 183.26861 146.24993 \nL 186.518359 87.595712 \nL 188.143233 62.291429 \nL 189.443133 45.472072 \nL 190.418057 35.306134 \nL 191.39299 27.497134 \nL 192.042955 23.689489 \nL 192.69292 21.046573 \nL 193.342885 19.594784 \nL 193.667868 19.320567 \nL 193.992851 19.348632 \nL 194.317833 19.678914 \nL 194.642816 20.310585 \nL 195.292781 22.47101 \nL 195.942746 25.80834 \nL 196.592712 30.289221 \nL 197.56766 39.05374 \nL 198.542607 50.091085 \nL 199.842538 67.907952 \nL 201.467451 94.140478 \nL 203.742329 135.281103 \nL 206.992156 193.832423 \nL 208.617069 218.996853 \nL 209.916999 235.668778 \nL 210.891947 245.707165 \nL 211.866895 253.377178 \nL 212.51686 257.087373 \nL 213.166826 259.630153 \nL 213.816791 260.980112 \nL 214.141774 261.203094 \nL 214.466756 261.12375 \nL 214.791739 260.742278 \nL 215.116721 260.059634 \nL 215.766687 257.798406 \nL 216.416652 254.362662 \nL 217.066617 249.78672 \nL 218.041565 240.887972 \nL 219.016513 229.729078 \nL 220.316443 211.774584 \nL 221.941357 185.416783 \nL 224.216235 144.201046 \nL 227.466061 85.757075 \nL 229.090974 60.734548 \nL 230.390905 44.211398 \nL 231.365853 34.301364 \nL 232.340801 26.770897 \nL 232.990766 23.158413 \nL 233.640731 20.715958 \nL 233.965714 19.941577 \nL 234.290696 19.467927 \nL 234.615679 19.296198 \nL 234.940662 19.426813 \nL 235.265644 19.859448 \nL 235.590627 20.593012 \nL 236.240592 22.954879 \nL 236.890557 26.488803 \nL 237.540523 31.159474 \nL 238.515471 40.19182 \nL 239.490418 51.471433 \nL 240.790349 69.562256 \nL 242.415262 96.043435 \nL 245.015123 143.378727 \nL 247.614984 190.220602 \nL 249.239897 215.9206 \nL 250.539828 233.160713 \nL 251.514776 243.692252 \nL 252.489724 251.900686 \nL 253.139689 255.989037 \nL 253.789654 258.920941 \nL 254.439619 260.667107 \nL 254.764602 261.089612 \nL 255.089585 261.210079 \nL 255.414567 261.028202 \nL 255.73955 260.544441 \nL 256.064532 259.760002 \nL 256.714498 257.297675 \nL 257.364463 253.665823 \nL 258.014428 248.900749 \nL 258.989376 239.735463 \nL 259.964324 228.335923 \nL 261.264254 210.110069 \nL 262.889168 183.507414 \nL 265.489029 136.103205 \nL 268.08889 89.35427 \nL 269.713803 63.789054 \nL 271.013733 46.692985 \nL 271.988681 36.286914 \nL 272.963629 28.215828 \nL 273.613594 24.224106 \nL 274.26356 21.391771 \nL 274.913525 19.74711 \nL 275.238507 19.375768 \nL 275.56349 19.306571 \nL 275.888473 19.539692 \nL 276.213455 20.074553 \nL 276.863421 22.043368 \nL 277.513386 25.19336 \nL 278.163351 29.493049 \nL 279.138299 38.001231 \nL 280.113247 48.805897 \nL 281.413177 66.358222 \nL 283.038091 92.347952 \nL 285.312969 133.337983 \nL 288.562795 192.081345 \nL 290.187708 217.509943 \nL 291.487639 234.460753 \nL 292.462587 244.740579 \nL 293.437535 252.673751 \nL 294.0875 256.568545 \nL 294.737465 259.301106 \nL 295.38743 260.844126 \nL 295.712413 261.164269 \nL 296.037396 261.182195 \nL 296.362378 260.897839 \nL 296.687361 260.311933 \nL 297.337326 258.242027 \nL 297.987291 254.993171 \nL 298.637257 250.597816 \nL 299.612204 241.954206 \nL 300.587152 231.026523 \nL 301.887083 213.334155 \nL 303.511996 187.215577 \nL 305.786874 146.144828 \nL 309.036701 87.500821 \nL 310.661614 62.210679 \nL 311.961544 45.406355 \nL 312.936492 35.253485 \nL 313.91144 27.458805 \nL 314.561405 23.661208 \nL 315.211371 21.028612 \nL 315.861336 19.587331 \nL 316.186318 19.318396 \nL 316.511301 19.351759 \nL 316.836284 19.687322 \nL 317.161266 20.324257 \nL 317.811232 22.4951 \nL 318.461197 25.842596 \nL 319.111162 30.3333 \nL 320.08611 39.111698 \nL 321.061042 50.161633 \nL 322.360973 67.992731 \nL 323.985886 94.238238 \nL 326.260764 135.38673 \nL 329.510591 193.927192 \nL 331.135504 219.07709 \nL 332.435434 235.733747 \nL 333.410382 245.758959 \nL 334.38533 253.414624 \nL 335.035295 257.11478 \nL 335.685261 259.647241 \nL 336.335226 260.986709 \nL 336.660209 261.204419 \nL 336.985191 261.119794 \nL 337.310174 260.733059 \nL 337.635156 260.045169 \nL 338.285122 257.773578 \nL 338.935087 254.327713 \nL 339.585052 249.742001 \nL 340.56 240.829473 \nL 341.534948 229.658116 \nL 342.834878 211.689522 \nL 344.459792 185.318937 \nL 347.059653 138.048361 \nL 349.984496 85.66295 \nL 351.609409 60.655122 \nL 352.90934 44.147357 \nL 353.884288 34.25058 \nL 354.859236 26.734505 \nL 355.509201 23.132088 \nL 356.159166 20.69997 \nL 356.484149 19.930834 \nL 356.809131 19.462448 \nL 357.134114 19.296 \nL 357.459097 19.431887 \nL 357.784079 19.869785 \nL 358.109062 20.608585 \nL 358.759027 22.980799 \nL 359.408992 26.524808 \nL 360.058958 31.205229 \nL 361.033906 40.251292 \nL 362.008853 51.543279 \nL 363.308784 69.648058 \nL 364.933697 96.141831 \nL 367.533558 143.484377 \nL 370.133419 190.316835 \nL 371.758332 216.003044 \nL 373.058263 233.228395 \nL 374.033211 243.747047 \nL 375.008159 251.941368 \nL 375.658124 256.019778 \nL 376.308089 258.941444 \nL 376.958054 260.677156 \nL 377.283037 261.094397 \nL 377.60802 261.209592 \nL 377.933002 261.022434 \nL 378.257985 260.53341 \nL 378.582967 259.743735 \nL 379.232933 257.27108 \nL 379.882898 253.62917 \nL 380.532863 248.854399 \nL 381.507811 239.675477 \nL 382.482759 228.263645 \nL 383.782689 210.023975 \nL 385.407603 183.408932 \nL 385.732585 177.707335 \nL 385.732585 177.707335 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p4a3d6c6de5\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "image/png": "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\n"
      },
      "metadata": {}
@@ -132,7 +132,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -150,43 +150,163 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "output_type": "stream",
      "name": "stdout",
      "text": [
-      "Epoch: 0\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "Epoch: 0\t Loss: tensor(2.4146e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(0.5564, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(2.7086e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(0.2693, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(1.7028e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(1.4094, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(1.5383e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(2.2638, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(7.2113e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(0.5720, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(1.9744e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-2.6869, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(1.6727e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-4.4457, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(1.4529e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-4.7190, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(1.0907e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-5.0503, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(4.2784e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-5.0409, requires_grad=True)}\n",
+      "Epoch: 10\t Loss: tensor(5.4715e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-4.8267, requires_grad=True)}\n",
+      "Epoch: 11\t Loss: tensor(1.2727e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-4.9724, requires_grad=True)}\n",
+      "Epoch: 12\t Loss: tensor(1.8102e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-5.1520, requires_grad=True)}\n",
+      "Epoch: 13\t Loss: tensor(4.1873e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-4.1311, requires_grad=True)}\n",
+      "Epoch: 14\t Loss: tensor(5.1780e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-3.2711, requires_grad=True)}\n",
+      "Epoch: 15\t Loss: tensor(7.5392e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-6.1800, requires_grad=True)}\n",
+      "Epoch: 16\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-8.5473, requires_grad=True)}\n",
+      "Epoch: 17\t Loss: tensor(3.2150e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-8.8546, requires_grad=True)}\n",
+      "Epoch: 18\t Loss: tensor(1.3441e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-8.1203, requires_grad=True)}\n",
+      "Epoch: 19\t Loss: tensor(3.3458e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-6.4708, requires_grad=True)}\n",
+      "Epoch: 20\t Loss: tensor(4.0574e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-6.2895, requires_grad=True)}\n",
+      "Epoch: 21\t Loss: tensor(3.1946e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-6.7088, requires_grad=True)}\n",
+      "Epoch: 22\t Loss: tensor(3.2806e-05, grad_fn=<MseLossBackward>)\n",
       "{'w': Parameter containing:\n",
-      "tensor(1.5049, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(1.9310e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(-6.8905, requires_grad=True)}\n",
+      "Epoch: 23\t Loss: tensor(9.1959e-05, grad_fn=<MseLossBackward>)\n",
       "{'w': Parameter containing:\n",
-      "tensor(1.2897, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(3.4833e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(-7.4480, requires_grad=True)}\n",
+      "Epoch: 24\t Loss: tensor(9.4406e-05, grad_fn=<MseLossBackward>)\n",
       "{'w': Parameter containing:\n",
-      "tensor(0.8742, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "tensor(-8.0897, requires_grad=True)}\n",
+      "Epoch: 25\t Loss: tensor(8.6219e-05, grad_fn=<MseLossBackward>)\n",
       "{'w': Parameter containing:\n",
-      "tensor(1.6155, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(2.6926e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(-8.7295, requires_grad=True)}\n",
+      "Epoch: 26\t Loss: tensor(7.9796e-05, grad_fn=<MseLossBackward>)\n",
       "{'w': Parameter containing:\n",
-      "tensor(2.2879, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(1.4539e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(-9.0427, requires_grad=True)}\n",
+      "Epoch: 27\t Loss: tensor(3.6575e-07, grad_fn=<MseLossBackward>)\n",
       "{'w': Parameter containing:\n",
-      "tensor(2.0547, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(2.4550e-07, grad_fn=<MseLossBackward>)\n",
+      "tensor(-8.8274, requires_grad=True)}\n",
+      "Epoch: 28\t Loss: tensor(2.0644e-05, grad_fn=<MseLossBackward>)\n",
       "{'w': Parameter containing:\n",
-      "tensor(1.0661, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(9.2919e-06, grad_fn=<MseLossBackward>)\n",
+      "tensor(-9.0285, requires_grad=True)}\n",
+      "Epoch: 29\t Loss: tensor(1.6546e-06, grad_fn=<MseLossBackward>)\n",
       "{'w': Parameter containing:\n",
-      "tensor(1.2288, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(5.5473e-05, grad_fn=<MseLossBackward>)\n",
+      "tensor(-9.2313, requires_grad=True)}\n",
+      "Epoch: 30\t Loss: tensor(9.5939e-05, grad_fn=<MseLossBackward>)\n",
       "{'w': Parameter containing:\n",
-      "tensor(1.8533, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "tensor(-9.3593, requires_grad=True)}\n",
+      "Epoch: 31\t Loss: tensor(8.6223e-06, grad_fn=<MseLossBackward>)\n",
       "{'w': Parameter containing:\n",
-      "tensor(2.4368, requires_grad=True)}\n"
+      "tensor(-10.0947, requires_grad=True)}\n",
+      "Epoch: 32\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-10.4871, requires_grad=True)}\n",
+      "Epoch: 33\t Loss: tensor(4.8011e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-10.4140, requires_grad=True)}\n",
+      "Epoch: 34\t Loss: tensor(6.1366e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-10.6405, requires_grad=True)}\n",
+      "Epoch: 35\t Loss: tensor(6.7959e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-11.0156, requires_grad=True)}\n",
+      "Epoch: 36\t Loss: tensor(5.0571e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-10.9378, requires_grad=True)}\n",
+      "Epoch: 37\t Loss: tensor(6.7418e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-10.7958, requires_grad=True)}\n",
+      "Epoch: 38\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-10.4174, requires_grad=True)}\n",
+      "Epoch: 39\t Loss: tensor(1.7927e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-10.1750, requires_grad=True)}\n",
+      "Epoch: 40\t Loss: tensor(4.7017e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-10.2568, requires_grad=True)}\n",
+      "Epoch: 41\t Loss: tensor(2.1444e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-10.2641, requires_grad=True)}\n",
+      "Epoch: 42\t Loss: tensor(7.2486e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-10.3886, requires_grad=True)}\n",
+      "Epoch: 43\t Loss: tensor(2.4303e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-10.7213, requires_grad=True)}\n",
+      "Epoch: 44\t Loss: tensor(1.3222e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-11.0495, requires_grad=True)}\n",
+      "Epoch: 45\t Loss: tensor(1.6743e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-11.0677, requires_grad=True)}\n",
+      "Epoch: 46\t Loss: tensor(1.1128e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-10.8657, requires_grad=True)}\n",
+      "Epoch: 47\t Loss: tensor(1.3999e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-10.7853, requires_grad=True)}\n",
+      "Epoch: 48\t Loss: tensor(4.5793e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-11.0173, requires_grad=True)}\n",
+      "Epoch: 49\t Loss: tensor(5.3178e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-11.3179, requires_grad=True)}\n"
      ]
     }
    ],
@@ -194,13 +314,15 @@
     "ode_solver_train.fit_random_sample(\n",
     "    result,torch.optim.Adam,\n",
     "    {\"lr\": 0.5},\n",
-    "    max_epochs=10\n",
+    "    max_epochs=50,\n",
+    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -208,11 +330,11 @@
      "data": {
       "text/plain": [
        "{'w': Parameter containing:\n",
-       " tensor(2.4368, requires_grad=True)}"
+       " tensor(-11.3179, requires_grad=True)}"
       ]
      },
      "metadata": {},
-     "execution_count": 16
+     "execution_count": 20
     }
    ],
    "source": [
@@ -221,31 +343,31 @@
   },
   {
    "source": [
-    "# Predictions for nt = 1000"
+    "# Predictions for nt=1000"
    ],
    "cell_type": "markdown",
    "metadata": {}
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "output_type": "execute_result",
      "data": {
       "text/plain": [
-       "tensor([[ 0.0000,  0.0000],\n",
-       "        [ 0.0100,  0.0100],\n",
-       "        [ 0.0200,  0.0200],\n",
+       "tensor([[ 0.0000e+00,  0.0000e+00],\n",
+       "        [ 1.0000e-02,  1.0000e-02],\n",
+       "        [ 1.9936e-02,  2.0000e-02],\n",
        "        ...,\n",
-       "        [-0.3032,  9.9701],\n",
-       "        [-0.2965,  9.9801],\n",
-       "        [-0.2896,  9.9901]], grad_fn=<StackBackward>)"
+       "        [-2.2203e-02,  9.9701e+00],\n",
+       "        [-1.2530e-02,  9.9801e+00],\n",
+       "        [-2.6317e-03,  9.9901e+00]], grad_fn=<StackBackward>)"
       ]
      },
      "metadata": {},
-     "execution_count": 19
+     "execution_count": 21
     }
    ],
    "source": [
@@ -255,15 +377,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "output_type": "display_data",
      "data": {
       "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T22:35:47.104375</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m36883fc0f9\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.71554\" xlink:href=\"#m36883fc0f9\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(51.53429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"119.710578\" xlink:href=\"#m36883fc0f9\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(116.529328 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"184.705615\" xlink:href=\"#m36883fc0f9\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(181.524365 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.700653\" xlink:href=\"#m36883fc0f9\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(246.519403 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"314.695691\" xlink:href=\"#m36883fc0f9\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(311.514441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"379.690729\" xlink:href=\"#m36883fc0f9\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(373.328229 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m6eae5f818c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m6eae5f818c\" y=\"259.630211\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.4 -->\n      <g transform=\"translate(7.2 263.42943)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m6eae5f818c\" y=\"200.680052\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.2 -->\n      <g transform=\"translate(7.2 204.479271)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m6eae5f818c\" y=\"141.729893\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 145.529112)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m6eae5f818c\" y=\"82.779734\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.2 -->\n      <g transform=\"translate(15.579688 86.578953)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m6eae5f818c\" y=\"23.829575\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.4 -->\n      <g transform=\"translate(15.579688 27.628794)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p378ca705f4)\" d=\"M 54.71554 141.729893 \nL 59.590167 98.40002 \nL 62.18997 77.208822 \nL 64.13982 62.842089 \nL 66.089669 50.127297 \nL 67.714544 40.990474 \nL 69.014443 34.734922 \nL 70.314343 29.481128 \nL 71.614243 25.278958 \nL 72.589168 22.841854 \nL 73.564092 21.031963 \nL 74.214042 20.178739 \nL 74.863992 19.61067 \nL 75.513942 19.329108 \nL 76.163891 19.334712 \nL 76.813841 19.627474 \nL 77.463791 20.206699 \nL 78.113741 21.071017 \nL 79.088665 22.89737 \nL 80.06359 25.350638 \nL 81.038515 28.417723 \nL 82.338414 33.43321 \nL 83.638314 39.462803 \nL 84.938213 46.449258 \nL 86.563088 56.426076 \nL 88.512939 70.024595 \nL 90.787763 87.761492 \nL 93.387562 109.865831 \nL 98.262185 153.722411 \nL 101.836909 185.078881 \nL 104.436708 205.993335 \nL 106.386557 220.084932 \nL 108.336406 232.473046 \nL 109.961281 241.303281 \nL 111.26118 247.294312 \nL 112.56108 252.269189 \nL 113.536005 255.304712 \nL 114.510929 257.725654 \nL 115.485854 259.519083 \nL 116.135804 260.361221 \nL 116.785753 260.918126 \nL 117.435703 261.188496 \nL 118.085653 261.171683 \nL 118.735603 260.867722 \nL 119.385552 260.277341 \nL 120.035506 259.401936 \nL 121.010431 257.55914 \nL 121.985355 255.089727 \nL 122.96028 252.006882 \nL 124.260179 246.971131 \nL 125.560079 240.92229 \nL 127.184953 232.024935 \nL 128.809828 221.766942 \nL 130.759677 207.87675 \nL 133.034501 189.870369 \nL 135.959275 164.681443 \nL 145.058572 84.508409 \nL 147.333396 67.09504 \nL 149.283245 53.841923 \nL 150.90812 44.195419 \nL 152.532994 35.973187 \nL 153.832893 30.503563 \nL 155.132793 26.075857 \nL 156.107718 23.464517 \nL 157.082642 21.47707 \nL 157.732592 20.50409 \nL 158.382542 19.815492 \nL 159.032492 19.41291 \nL 159.682441 19.2973 \nL 160.332391 19.468936 \nL 160.982341 19.927421 \nL 161.632291 20.67165 \nL 162.28224 21.699874 \nL 163.257165 23.769155 \nL 164.23209 26.460687 \nL 165.207014 29.760107 \nL 166.506914 35.074021 \nL 167.806813 41.386468 \nL 169.431688 50.58905 \nL 171.056562 61.121121 \nL 173.006411 75.293397 \nL 175.281235 93.556828 \nL 178.206009 118.951176 \nL 186.655403 193.578389 \nL 188.930281 211.234893 \nL 190.880177 224.747107 \nL 192.50509 234.641098 \nL 194.130003 243.135598 \nL 195.429934 248.83819 \nL 196.729864 253.50993 \nL 197.704812 256.310176 \nL 198.67976 258.490447 \nL 199.654708 260.039103 \nL 200.304673 260.716413 \nL 200.954638 261.107646 \nL 201.604604 261.211871 \nL 202.254569 261.028851 \nL 202.904534 260.559017 \nL 203.554499 259.803474 \nL 204.204465 258.764024 \nL 205.179412 256.678105 \nL 206.15436 253.970252 \nL 207.129308 250.654924 \nL 208.429239 245.320612 \nL 209.729169 238.988831 \nL 211.354082 229.763858 \nL 212.978996 219.211733 \nL 214.928891 205.018871 \nL 217.20377 186.736782 \nL 220.128613 161.327799 \nL 228.253179 89.380269 \nL 230.528057 71.49024 \nL 232.477953 57.726488 \nL 234.102866 47.590684 \nL 235.727779 38.828887 \nL 237.02771 32.896781 \nL 238.32764 27.983939 \nL 239.302588 24.996632 \nL 240.277536 22.625067 \nL 241.252484 20.88191 \nL 241.902449 20.073662 \nL 242.552415 19.550831 \nL 243.20238 19.314667 \nL 243.852345 19.365721 \nL 244.50231 19.703879 \nL 245.152276 20.328344 \nL 245.802241 21.237611 \nL 246.777189 23.130645 \nL 247.752137 25.64939 \nL 248.727085 28.780381 \nL 250.027015 33.878062 \nL 251.326946 39.985686 \nL 252.951859 48.951243 \nL 254.576772 59.270656 \nL 256.526668 73.224292 \nL 258.801546 91.288838 \nL 261.72639 116.524925 \nL 270.500921 194.007109 \nL 272.775799 211.621466 \nL 274.725695 225.08856 \nL 276.350608 234.939341 \nL 277.975521 243.386231 \nL 279.275452 249.048002 \nL 280.575382 253.676946 \nL 281.55033 256.444022 \nL 282.525278 258.59042 \nL 283.500226 260.104668 \nL 284.150191 260.758832 \nL 284.800156 261.126813 \nL 285.450121 261.207752 \nL 286.100087 261.001444 \nL 286.750052 260.508384 \nL 287.400017 259.729739 \nL 288.049982 258.66737 \nL 289.02493 256.547518 \nL 289.999878 253.806425 \nL 290.974826 250.458727 \nL 292.274757 245.08291 \nL 293.574687 238.71189 \nL 295.1996 229.441616 \nL 296.824513 218.84896 \nL 298.774409 204.614606 \nL 301.049288 186.295066 \nL 303.974131 160.856891 \nL 312.098697 88.946968 \nL 314.373575 71.097504 \nL 316.323456 57.377639 \nL 317.948369 47.28414 \nL 319.573282 38.569198 \nL 320.873212 32.677386 \nL 322.173143 27.80691 \nL 323.148091 24.852509 \nL 324.123039 22.514614 \nL 325.097986 20.805724 \nL 325.747952 20.020552 \nL 326.397917 19.520921 \nL 327.047882 19.308034 \nL 327.697847 19.382384 \nL 328.347813 19.743795 \nL 328.997778 20.391406 \nL 329.647743 21.323688 \nL 330.622691 23.250831 \nL 331.597639 25.803036 \nL 332.572587 28.966669 \nL 333.872517 34.106286 \nL 335.172448 40.253685 \nL 336.797361 49.26535 \nL 338.422274 59.626207 \nL 340.37217 73.622561 \nL 342.647048 91.726153 \nL 345.571892 116.993668 \nL 354.346423 194.434757 \nL 356.621301 212.006717 \nL 358.571197 225.42851 \nL 360.19611 235.23595 \nL 361.821023 243.635089 \nL 363.120954 249.255978 \nL 364.420884 253.842046 \nL 365.395832 256.575926 \nL 366.37078 258.688418 \nL 367.345728 260.168231 \nL 367.995693 260.79924 \nL 368.645659 261.143978 \nL 369.295624 261.20162 \nL 369.945589 260.972035 \nL 370.595554 260.455758 \nL 371.24552 259.654036 \nL 371.895485 258.568767 \nL 372.870433 256.415016 \nL 373.845381 253.640728 \nL 374.820328 250.26073 \nL 376.120259 244.843504 \nL 377.420189 238.433359 \nL 379.045103 229.117934 \nL 379.370085 227.091959 \nL 379.370085 227.091959 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482813 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p378ca705f4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.920872pt\" version=\"1.1\" viewBox=\"0 0 415.527812 297.920872\" width=\"415.527812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T01:27:28.480656</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.920872 \nL 415.527812 297.920872 \nL 415.527812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 51.207813 274.042747 \nL 408.327813 274.042747 \nL 408.327813 7.930747 \nL 51.207813 7.930747 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mf2da3b7b22\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"67.44054\" xlink:href=\"#mf2da3b7b22\" y=\"274.042747\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(64.25929 288.641184)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"132.435578\" xlink:href=\"#mf2da3b7b22\" y=\"274.042747\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(129.254328 288.641184)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"197.430615\" xlink:href=\"#mf2da3b7b22\" y=\"274.042747\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(194.249365 288.641184)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"262.425653\" xlink:href=\"#mf2da3b7b22\" y=\"274.042747\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(259.244403 288.641184)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"327.420691\" xlink:href=\"#mf2da3b7b22\" y=\"274.042747\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(324.239441 288.641184)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"392.415729\" xlink:href=\"#mf2da3b7b22\" y=\"274.042747\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(386.053229 288.641184)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"md8b914ac83\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"250.463128\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.075 -->\n      <g transform=\"translate(7.2 254.262347)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"306.445312\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"216.253998\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.050 -->\n      <g transform=\"translate(7.2 220.053217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"306.445312\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"182.044868\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.025 -->\n      <g transform=\"translate(7.2 185.844087)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"306.445312\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"147.835738\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.000 -->\n      <g transform=\"translate(15.579688 151.634957)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"113.626608\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.025 -->\n      <g transform=\"translate(15.579688 117.425827)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"79.417478\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.050 -->\n      <g transform=\"translate(15.579688 83.216697)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"45.208349\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.075 -->\n      <g transform=\"translate(15.579688 49.007567)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.100 -->\n      <g transform=\"translate(15.579688 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p5b55456040)\" d=\"M 67.44054 147.835738 \nL 69.065416 82.013771 \nL 70.040341 50.206051 \nL 70.690291 34.580793 \nL 71.340241 24.384689 \nL 71.665217 21.49678 \nL 71.990192 20.137945 \nL 72.315167 20.325565 \nL 72.640143 22.057236 \nL 72.965118 25.310803 \nL 73.615069 36.198167 \nL 74.26502 52.432165 \nL 75.239946 84.931888 \nL 76.86482 151.144773 \nL 78.16472 202.847825 \nL 79.139644 233.939654 \nL 79.789594 248.944457 \nL 80.439544 258.441666 \nL 80.764519 260.961745 \nL 81.089493 261.946747 \nL 81.414468 261.384048 \nL 81.739443 259.280856 \nL 82.064418 255.664088 \nL 82.714368 244.093703 \nL 83.364318 227.263225 \nL 84.339243 194.096022 \nL 85.964118 127.542049 \nL 87.264017 76.31309 \nL 88.238942 45.960479 \nL 88.888891 31.587385 \nL 89.538841 22.796178 \nL 89.863816 20.645794 \nL 90.188791 20.035361 \nL 90.513766 20.97269 \nL 90.838741 23.445801 \nL 91.163716 27.423027 \nL 91.813665 39.667697 \nL 92.463615 57.082004 \nL 93.43854 90.891753 \nL 97.013263 229.267467 \nL 97.663213 245.578122 \nL 98.313163 256.552939 \nL 98.638138 259.852915 \nL 98.963113 261.631993 \nL 99.288088 261.867398 \nL 99.613063 260.556133 \nL 99.938037 257.714978 \nL 100.587989 247.60749 \nL 101.237939 232.060618 \nL 102.212863 200.342773 \nL 103.512763 148.257741 \nL 105.462612 70.807147 \nL 106.437537 42.000859 \nL 107.087487 28.923116 \nL 107.737436 21.563181 \nL 108.062411 20.156765 \nL 108.387386 20.29655 \nL 108.712361 21.980763 \nL 109.037336 25.18785 \nL 109.687286 35.987536 \nL 110.337235 52.144601 \nL 111.31216 84.557437 \nL 112.937034 150.723237 \nL 114.236934 202.483962 \nL 115.211859 233.668392 \nL 115.861808 248.752952 \nL 116.511758 258.339705 \nL 116.836733 260.906804 \nL 117.161708 261.939528 \nL 117.486683 261.424634 \nL 117.811658 259.368749 \nL 118.136633 255.798164 \nL 118.786582 244.314427 \nL 119.436532 227.559316 \nL 120.411457 194.475872 \nL 122.036331 127.962617 \nL 123.336231 76.671041 \nL 124.311155 46.22286 \nL 124.961105 31.768593 \nL 125.611055 22.886945 \nL 125.93603 20.689307 \nL 126.261005 20.031079 \nL 126.585979 20.920664 \nL 126.910954 23.346674 \nL 127.235929 27.278094 \nL 127.885879 39.437267 \nL 128.535829 56.777802 \nL 129.510753 90.50701 \nL 133.085481 228.977661 \nL 133.735431 245.364861 \nL 134.38538 256.427081 \nL 134.710355 259.773464 \nL 135.03533 261.59997 \nL 135.360305 261.883211 \nL 135.68528 260.619577 \nL 136.010255 257.825218 \nL 136.660205 247.80656 \nL 137.310154 232.338358 \nL 138.285079 200.710868 \nL 139.584978 148.679793 \nL 141.534828 71.151966 \nL 142.509752 42.244441 \nL 143.159702 29.082894 \nL 143.809652 21.630978 \nL 144.134627 20.176982 \nL 144.459602 20.268921 \nL 144.784577 21.905655 \nL 145.109551 25.066202 \nL 145.759501 35.778047 \nL 146.409451 51.857966 \nL 147.384376 84.18351 \nL 149.00925 150.301423 \nL 150.634124 213.51739 \nL 151.609049 241.621714 \nL 152.258999 254.121822 \nL 152.583974 258.236122 \nL 152.908949 260.850201 \nL 153.233923 261.930628 \nL 153.558898 261.463559 \nL 153.883873 259.454989 \nL 154.208848 255.930619 \nL 154.858798 244.533643 \nL 155.508748 227.854108 \nL 156.483672 194.854794 \nL 158.108547 128.383074 \nL 159.408446 77.029522 \nL 160.383371 46.48617 \nL 161.03332 31.950912 \nL 161.68327 22.978946 \nL 162.008245 20.734114 \nL 162.33322 20.028102 \nL 162.658195 20.869934 \nL 162.98317 23.248841 \nL 163.308145 27.134383 \nL 163.958094 39.207948 \nL 164.608044 56.474548 \nL 165.582969 90.122802 \nL 169.157692 228.686713 \nL 169.807642 245.150284 \nL 170.457592 256.299835 \nL 170.782567 259.692617 \nL 171.107542 261.56656 \nL 171.432517 261.897637 \nL 171.757492 260.681655 \nL 172.082466 257.934184 \nL 172.732416 248.004529 \nL 173.382366 232.615176 \nL 174.357291 201.078478 \nL 175.65719 149.102012 \nL 177.607039 71.497836 \nL 178.581964 42.48943 \nL 179.231914 29.244171 \nL 179.881863 21.700387 \nL 180.206838 20.198789 \nL 180.531813 20.242852 \nL 180.856788 21.832016 \nL 181.181763 24.945992 \nL 181.831713 35.569852 \nL 182.481663 51.57236 \nL 183.456587 83.810211 \nL 185.081462 149.879408 \nL 186.706336 213.178219 \nL 187.681261 241.386176 \nL 188.33121 253.97122 \nL 188.656185 258.131163 \nL 188.98116 260.79219 \nL 189.306135 261.920311 \nL 189.63111 261.501087 \nL 189.956085 259.539884 \nL 190.28106 256.06179 \nL 190.931009 244.751716 \nL 191.580959 228.147998 \nL 192.555884 195.233267 \nL 194.180758 128.803915 \nL 195.480658 77.388981 \nL 196.455582 46.750784 \nL 197.105532 32.134669 \nL 197.75549 23.072507 \nL 198.080472 20.780492 \nL 198.405455 20.026747 \nL 198.730437 20.820915 \nL 199.05542 23.152844 \nL 199.380403 26.992681 \nL 200.030368 38.980842 \nL 200.680333 56.173741 \nL 201.655281 89.741286 \nL 203.605177 169.931402 \nL 204.905107 218.391425 \nL 205.555073 237.280369 \nL 206.205038 251.256424 \nL 206.855003 259.606488 \nL 207.179986 261.526728 \nL 207.504968 261.90459 \nL 207.829951 260.735179 \nL 208.154934 258.033474 \nL 208.479916 253.834035 \nL 209.129882 241.175392 \nL 209.779847 223.405128 \nL 210.754795 189.208973 \nL 214.329604 51.320969 \nL 214.979569 35.386809 \nL 215.629534 24.840809 \nL 215.954517 21.768103 \nL 216.279499 20.221035 \nL 216.604482 20.219393 \nL 216.929465 21.763199 \nL 217.254447 24.832703 \nL 217.904412 35.372658 \nL 218.554378 51.301445 \nL 219.529326 83.45564 \nL 221.154239 149.47796 \nL 222.779152 212.854091 \nL 223.7541 241.15909 \nL 224.404065 253.823544 \nL 224.729048 258.026113 \nL 225.05403 260.73104 \nL 225.379013 261.903723 \nL 225.703996 261.529195 \nL 226.028978 259.612208 \nL 226.353961 256.17728 \nL 227.003926 244.948319 \nL 227.653891 228.415227 \nL 228.628839 195.579294 \nL 230.253752 129.189851 \nL 231.553683 77.718966 \nL 232.528631 46.99406 \nL 233.178596 32.30403 \nL 233.828561 23.1594 \nL 234.153544 20.824239 \nL 234.478526 20.026787 \nL 234.803509 20.77725 \nL 235.128492 23.066022 \nL 235.453474 26.863825 \nL 236.10344 38.773412 \nL 236.753405 55.89832 \nL 237.728353 89.391078 \nL 239.678249 169.55558 \nL 240.978179 218.093677 \nL 241.628144 237.045677 \nL 242.27811 251.096779 \nL 242.928075 259.530045 \nL 243.253057 261.493625 \nL 243.57804 261.915193 \nL 243.903023 260.789356 \nL 244.228005 258.130572 \nL 244.552988 253.972821 \nL 245.202953 241.391712 \nL 245.852918 223.687946 \nL 246.827866 189.563603 \nL 250.402675 51.581097 \nL 251.05264 35.576102 \nL 251.702606 24.94956 \nL 252.027588 21.834218 \nL 252.352571 20.243658 \nL 252.677554 20.198239 \nL 253.002536 21.698541 \nL 253.327519 24.725369 \nL 253.977484 35.184609 \nL 254.627449 51.042326 \nL 255.602397 83.115705 \nL 257.22731 149.092122 \nL 258.852224 212.542686 \nL 259.827171 240.941883 \nL 260.477137 253.683728 \nL 260.802119 257.927934 \nL 261.127102 260.675762 \nL 261.452085 261.89205 \nL 261.777067 261.561239 \nL 262.10205 259.68755 \nL 262.427032 256.294972 \nL 263.076998 245.145655 \nL 263.726963 228.68216 \nL 264.701911 195.924302 \nL 266.326824 129.575032 \nL 267.626754 78.049104 \nL 268.601702 47.23811 \nL 269.251668 32.474493 \nL 269.901633 23.247628 \nL 270.226615 20.869393 \nL 270.551598 20.028296 \nL 270.876581 20.735093 \nL 271.201563 22.980751 \nL 271.526546 26.736519 \nL 272.176511 38.567277 \nL 272.826477 55.623939 \nL 273.801424 89.041549 \nL 275.75132 169.179604 \nL 277.051251 217.795251 \nL 277.701216 236.810048 \nL 278.351181 250.935941 \nL 279.001146 259.452308 \nL 279.326129 261.459247 \nL 279.651112 261.924623 \nL 279.976094 260.842473 \nL 280.301077 258.226651 \nL 280.62606 254.110628 \nL 281.276025 241.607176 \nL 281.92599 223.970075 \nL 282.900938 189.917904 \nL 286.475747 51.842408 \nL 287.125712 35.766567 \nL 287.775677 25.059504 \nL 288.10066 21.901547 \nL 288.425643 20.267514 \nL 288.750625 20.178317 \nL 289.075608 21.635097 \nL 289.400591 24.619218 \nL 290.050556 34.997661 \nL 290.700521 50.784104 \nL 291.675469 82.776258 \nL 293.300382 148.706034 \nL 294.925295 212.230359 \nL 295.900243 240.723473 \nL 296.550208 253.542587 \nL 296.875191 257.828389 \nL 297.200174 260.619088 \nL 297.525156 261.878969 \nL 297.850139 261.591916 \nL 298.175121 259.761607 \nL 298.500104 256.411451 \nL 299.150069 245.342003 \nL 299.800035 228.94836 \nL 300.774982 196.268775 \nL 302.399896 129.960324 \nL 303.699826 78.379865 \nL 304.674774 47.483099 \nL 305.324739 32.646005 \nL 305.974704 23.336907 \nL 306.299687 20.915577 \nL 306.62467 20.030794 \nL 306.949652 20.693874 \nL 307.274635 22.896335 \nL 307.599618 26.609997 \nL 308.249583 38.36209 \nL 308.899548 55.350374 \nL 309.874496 88.692509 \nL 311.824392 168.8033 \nL 313.124322 217.496055 \nL 314.09927 244.335083 \nL 314.749235 255.808461 \nL 315.074218 259.373469 \nL 315.399201 261.423605 \nL 315.724183 261.932728 \nL 316.049166 260.894223 \nL 316.374149 258.321384 \nL 316.699131 254.24713 \nL 317.349096 241.821467 \nL 317.999062 224.251221 \nL 318.97401 190.271564 \nL 322.548818 52.104504 \nL 323.198784 35.958133 \nL 323.848749 25.170702 \nL 324.173732 21.97017 \nL 324.498714 20.292686 \nL 324.823697 20.159711 \nL 325.14868 21.572958 \nL 325.473662 24.514341 \nL 326.123627 34.811855 \nL 326.773593 50.526871 \nL 327.748525 82.437408 \nL 329.048456 134.636223 \nL 330.673369 200.396471 \nL 331.648317 232.100078 \nL 332.298282 247.634375 \nL 332.948247 257.727712 \nL 333.27323 260.561353 \nL 333.598212 261.864931 \nL 333.923195 261.621757 \nL 334.248178 259.834941 \nL 334.57316 256.52735 \nL 335.223125 245.538065 \nL 335.873091 229.2146 \nL 336.848039 196.613915 \nL 338.472952 130.346961 \nL 339.772882 78.712511 \nL 340.74783 47.730076 \nL 341.397795 32.819485 \nL 342.047761 23.428061 \nL 342.372743 20.963555 \nL 342.697726 20.034984 \nL 343.022709 20.654225 \nL 343.347691 22.813367 \nL 343.672674 26.484771 \nL 344.322639 38.157699 \nL 344.972604 55.07742 \nL 345.947552 88.343734 \nL 347.897448 168.426472 \nL 349.197378 217.196028 \nL 350.172326 244.13378 \nL 350.822292 255.68662 \nL 351.147274 259.293978 \nL 351.472257 261.387483 \nL 351.797239 261.940354 \nL 352.122222 260.945505 \nL 352.447205 258.415668 \nL 352.772187 254.383225 \nL 353.422153 242.035483 \nL 354.072118 224.532274 \nL 355.047066 190.625585 \nL 358.621875 52.368058 \nL 359.27184 36.151178 \nL 359.921805 25.28348 \nL 360.246788 22.040394 \nL 360.57177 20.319469 \nL 360.896753 20.142726 \nL 361.221736 21.512419 \nL 361.546718 24.411033 \nL 362.196684 34.627446 \nL 362.846649 50.270709 \nL 363.821597 82.099216 \nL 365.121527 134.249932 \nL 366.74644 200.059191 \nL 367.721388 231.84518 \nL 368.371353 247.451322 \nL 369.021319 257.625649 \nL 369.346301 260.502109 \nL 369.671284 261.849251 \nL 369.996267 261.649844 \nL 370.321249 259.906439 \nL 370.646232 256.641341 \nL 371.296197 245.73215 \nL 371.946162 229.478868 \nL 372.92111 196.957241 \nL 374.546023 130.732463 \nL 375.845954 79.044545 \nL 376.820902 47.977093 \nL 377.470867 32.993322 \nL 378.120832 23.519858 \nL 378.445815 21.012298 \nL 378.770798 20.040051 \nL 379.09578 20.615565 \nL 379.420763 22.73147 \nL 379.745745 26.360686 \nL 380.395711 37.95452 \nL 381.045676 54.805526 \nL 382.020624 87.995683 \nL 383.645537 154.560803 \nL 384.945467 205.772075 \nL 385.920415 236.097562 \nL 386.570381 250.447462 \nL 387.220346 259.212702 \nL 387.545328 261.349466 \nL 387.870311 261.946074 \nL 388.195294 260.99489 \nL 388.520276 258.508097 \nL 388.845259 254.517505 \nL 389.495224 242.247806 \nL 390.145189 224.811814 \nL 391.120137 190.978224 \nL 392.095085 151.436905 \nL 392.095085 151.436905 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 51.207813 274.042747 \nL 51.207813 7.930747 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 408.327813 274.042747 \nL 408.327813 7.930747 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 51.207813 274.042747 \nL 408.327813 274.042747 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 51.207813 7.930747 \nL 408.327813 7.930747 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p5b55456040\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"51.207813\" y=\"7.930747\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
      },
      "metadata": {}
     }
@@ -277,15 +399,280 @@
     "plt.show()"
    ]
   },
+  {
+   "source": [
+    "# Runge-Kutta for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import scipy.io\n",
+    "ode_train_coeffs = {\"w\": 1.}\n",
     "\n",
-    "scipy.io.savemat(\"Duffing_fitRandomSample.mat\", {\"x\": results_test_np})"
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(6.2781e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-1.2795, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-4.2331, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(7.5939e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-5.7381, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(4.7552e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-4.1620, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-3.3590, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(4.9796e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(-1.9073, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(5.0881e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(0.8073, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(3.3890e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(3.7548, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(4.4404e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.1038, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(4.1403e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.4751, requires_grad=True)}\n",
+      "Epoch: 10\t Loss: tensor(3.3606e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9211, requires_grad=True)}\n",
+      "Epoch: 11\t Loss: tensor(1.6331e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0230, requires_grad=True)}\n",
+      "Epoch: 12\t Loss: tensor(2.1287e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0357, requires_grad=True)}\n",
+      "Epoch: 13\t Loss: tensor(1.1847e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9797, requires_grad=True)}\n",
+      "Epoch: 14\t Loss: tensor(8.3503e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9811, requires_grad=True)}\n",
+      "Epoch: 15\t Loss: tensor(4.8015e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9931, requires_grad=True)}\n",
+      "Epoch: 16\t Loss: tensor(1.9135e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0067, requires_grad=True)}\n",
+      "Epoch: 17\t Loss: tensor(5.4234e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9782, requires_grad=True)}\n",
+      "Epoch: 18\t Loss: tensor(6.8002e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9436, requires_grad=True)}\n",
+      "Epoch: 19\t Loss: tensor(1.5634e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0047, requires_grad=True)}\n",
+      "Epoch: 20\t Loss: tensor(4.0029e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9857, requires_grad=True)}\n",
+      "Epoch: 21\t Loss: tensor(7.2332e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0123, requires_grad=True)}\n",
+      "Epoch: 22\t Loss: tensor(7.6391e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9982, requires_grad=True)}\n",
+      "Epoch: 23\t Loss: tensor(1.7542e-10, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9996, requires_grad=True)}\n",
+      "Epoch: 24\t Loss: tensor(6.8283e-10, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0003, requires_grad=True)}\n",
+      "Epoch: 25\t Loss: tensor(8.5802e-12, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0001, requires_grad=True)}\n",
+      "Epoch: 26\t Loss: tensor(3.5191e-11, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9999, requires_grad=True)}\n",
+      "Epoch: 27\t Loss: tensor(9.9920e-14, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 28\t Loss: tensor(1.0946e-11, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9999, requires_grad=True)}\n",
+      "Epoch: 29\t Loss: tensor(1.1227e-11, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0001, requires_grad=True)}\n",
+      "Epoch: 30\t Loss: tensor(1.2711e-12, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 31\t Loss: tensor(2.6656e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 32\t Loss: tensor(3.6071e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 33\t Loss: tensor(4.8961e-14, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 34\t Loss: tensor(1.2834e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 35\t Loss: tensor(4.2677e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 36\t Loss: tensor(0., grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 37\t Loss: tensor(3.9968e-15, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 38\t Loss: tensor(5.4401e-15, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 39\t Loss: tensor(5.4401e-15, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 40\t Loss: tensor(4.4409e-16, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 41\t Loss: tensor(4.4409e-16, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 42\t Loss: tensor(4.4409e-16, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 43\t Loss: tensor(4.4409e-16, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 44\t Loss: tensor(4.4409e-16, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 45\t Loss: tensor(0., grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5., requires_grad=True)}\n",
+      "Epoch: 46\t Loss: tensor(0., grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5., requires_grad=True)}\n",
+      "Epoch: 47\t Loss: tensor(0., grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5., requires_grad=True)}\n",
+      "Epoch: 48\t Loss: tensor(0., grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5., requires_grad=True)}\n",
+      "Epoch: 49\t Loss: tensor(0., grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5., requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.5},\n",
+    "    max_epochs=50,\n",
+    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'w': Parameter containing:\n",
+       " tensor(5., requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 25
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000,  0.0000],\n",
+       "        [ 0.0100,  0.0100],\n",
+       "        [ 0.0200,  0.0200],\n",
+       "        ...,\n",
+       "        [-0.0806,  9.9701],\n",
+       "        [-0.0713,  9.9801],\n",
+       "        [-0.0619,  9.9901]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 26
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T01:30:53.050137</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m19a36b6fc4\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m19a36b6fc4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m19a36b6fc4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m19a36b6fc4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m19a36b6fc4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m19a36b6fc4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m19a36b6fc4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m3b6ed04f94\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"261.217017\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.20 -->\n      <g transform=\"translate(7.2 265.016235)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"230.976808\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.15 -->\n      <g transform=\"translate(7.2 234.776026)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"200.736598\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.10 -->\n      <g transform=\"translate(7.2 204.535817)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"170.496389\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −0.05 -->\n      <g transform=\"translate(7.2 174.295608)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"140.25618\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055399)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"110.015971\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.05 -->\n      <g transform=\"translate(15.579688 113.81519)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"79.775762\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.10 -->\n      <g transform=\"translate(15.579688 83.574981)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"49.535553\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.15 -->\n      <g transform=\"translate(15.579688 53.334772)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"19.295344\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 0.20 -->\n      <g transform=\"translate(15.579688 23.094563)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pe30df2d7a9)\" d=\"M 61.07804 140.25618 \nL 64.002816 87.642382 \nL 65.627692 62.331065 \nL 66.927593 45.5043 \nL 67.90252 35.331946 \nL 68.877446 27.515961 \nL 69.527395 23.703386 \nL 70.177345 21.055369 \nL 70.827295 19.598362 \nL 71.15227 19.321505 \nL 71.477245 19.346928 \nL 71.80222 19.674561 \nL 72.127194 20.303582 \nL 72.777144 22.458762 \nL 73.427094 25.790928 \nL 74.077044 30.266789 \nL 75.051968 39.024179 \nL 76.026893 50.055017 \nL 77.326792 67.864441 \nL 78.951668 94.090085 \nL 81.226492 135.226477 \nL 84.476241 193.783775 \nL 86.101115 218.956325 \nL 87.401015 235.636883 \nL 88.375939 245.682778 \nL 89.350864 253.361028 \nL 90.000814 257.077027 \nL 90.650763 259.6258 \nL 91.300713 260.981879 \nL 91.625688 261.207952 \nL 91.950663 261.131708 \nL 92.275638 260.753336 \nL 92.600613 260.073792 \nL 93.250563 257.818693 \nL 93.900514 254.38896 \nL 94.550464 249.818849 \nL 95.525389 240.928383 \nL 96.500313 229.777033 \nL 97.800213 211.831132 \nL 99.425087 185.481212 \nL 101.699911 144.270199 \nL 104.94966 85.819048 \nL 106.574534 60.787026 \nL 107.874434 44.253855 \nL 108.849359 34.335133 \nL 109.824283 26.795167 \nL 110.474233 23.175987 \nL 111.124183 20.726646 \nL 111.449158 19.948769 \nL 111.774133 19.471595 \nL 112.099107 19.296324 \nL 112.424082 19.423389 \nL 112.749057 19.852473 \nL 113.074032 20.582504 \nL 113.723982 22.937351 \nL 114.373932 26.464407 \nL 115.023881 31.128436 \nL 115.998806 40.151364 \nL 116.973731 51.422424 \nL 118.27363 69.503537 \nL 119.898505 95.97587 \nL 122.498304 143.306006 \nL 125.423077 195.599475 \nL 127.047956 220.489188 \nL 128.347855 236.873792 \nL 129.32278 246.664648 \nL 130.297705 254.065798 \nL 130.947654 257.58788 \nL 131.597604 259.937616 \nL 131.922579 260.665061 \nL 132.247554 261.09154 \nL 132.572529 261.216 \nL 132.897504 261.038125 \nL 133.222478 260.558356 \nL 133.547453 259.777892 \nL 134.197403 257.323441 \nL 134.847353 253.699304 \nL 135.497303 248.941674 \nL 136.472227 239.786923 \nL 137.447152 228.396927 \nL 138.747051 210.181866 \nL 140.371926 183.588966 \nL 142.971725 136.190253 \nL 145.571524 89.433465 \nL 147.196398 63.856881 \nL 148.496298 46.748581 \nL 149.471222 36.331822 \nL 150.446147 28.248975 \nL 151.096097 24.248962 \nL 151.746047 21.408047 \nL 152.395996 19.754626 \nL 152.720971 19.37885 \nL 153.045946 19.305211 \nL 153.370921 19.533888 \nL 153.695896 20.064297 \nL 154.345846 22.024307 \nL 154.995795 25.165647 \nL 155.645745 29.456927 \nL 156.62067 37.953159 \nL 157.595594 48.746893 \nL 158.895494 66.286696 \nL 160.520368 92.264791 \nL 162.795192 133.247384 \nL 166.044941 191.999667 \nL 167.669816 217.441009 \nL 168.969715 234.405436 \nL 169.94464 244.697149 \nL 170.919564 252.643344 \nL 171.569514 256.547321 \nL 172.219464 259.289363 \nL 172.869414 260.842062 \nL 173.194389 261.16709 \nL 173.519363 261.189909 \nL 173.844338 260.910466 \nL 174.169313 260.329444 \nL 174.819263 258.269244 \nL 175.469213 255.029896 \nL 176.119163 250.643761 \nL 177.094087 242.013255 \nL 178.069012 231.097504 \nL 179.368911 213.418781 \nL 180.993786 187.312806 \nL 183.26861 146.24993 \nL 186.518359 87.595712 \nL 188.143233 62.291429 \nL 189.443133 45.472072 \nL 190.418057 35.306134 \nL 191.39299 27.497134 \nL 192.042955 23.689489 \nL 192.69292 21.046573 \nL 193.342885 19.594784 \nL 193.667868 19.320567 \nL 193.992851 19.348632 \nL 194.317833 19.678914 \nL 194.642816 20.310585 \nL 195.292781 22.47101 \nL 195.942746 25.80834 \nL 196.592712 30.289221 \nL 197.56766 39.05374 \nL 198.542607 50.091085 \nL 199.842538 67.907952 \nL 201.467451 94.140478 \nL 203.742329 135.281103 \nL 206.992156 193.832423 \nL 208.617069 218.996853 \nL 209.916999 235.668778 \nL 210.891947 245.707165 \nL 211.866895 253.377178 \nL 212.51686 257.087373 \nL 213.166826 259.630153 \nL 213.816791 260.980112 \nL 214.141774 261.203094 \nL 214.466756 261.12375 \nL 214.791739 260.742278 \nL 215.116721 260.059634 \nL 215.766687 257.798406 \nL 216.416652 254.362662 \nL 217.066617 249.78672 \nL 218.041565 240.887972 \nL 219.016513 229.729078 \nL 220.316443 211.774584 \nL 221.941357 185.416783 \nL 224.216235 144.201046 \nL 227.466061 85.757075 \nL 229.090974 60.734548 \nL 230.390905 44.211398 \nL 231.365853 34.301364 \nL 232.340801 26.770897 \nL 232.990766 23.158413 \nL 233.640731 20.715958 \nL 233.965714 19.941577 \nL 234.290696 19.467927 \nL 234.615679 19.296198 \nL 234.940662 19.426813 \nL 235.265644 19.859448 \nL 235.590627 20.593012 \nL 236.240592 22.954879 \nL 236.890557 26.488803 \nL 237.540523 31.159474 \nL 238.515471 40.19182 \nL 239.490418 51.471433 \nL 240.790349 69.562256 \nL 242.415262 96.043435 \nL 245.015123 143.378727 \nL 247.614984 190.220602 \nL 249.239897 215.9206 \nL 250.539828 233.160713 \nL 251.514776 243.692252 \nL 252.489724 251.900686 \nL 253.139689 255.989037 \nL 253.789654 258.920941 \nL 254.439619 260.667107 \nL 254.764602 261.089612 \nL 255.089585 261.210079 \nL 255.414567 261.028202 \nL 255.73955 260.544441 \nL 256.064532 259.760002 \nL 256.714498 257.297675 \nL 257.364463 253.665823 \nL 258.014428 248.900749 \nL 258.989376 239.735463 \nL 259.964324 228.335923 \nL 261.264254 210.110069 \nL 262.889168 183.507414 \nL 265.489029 136.103205 \nL 268.08889 89.35427 \nL 269.713803 63.789054 \nL 271.013733 46.692985 \nL 271.988681 36.286914 \nL 272.963629 28.215828 \nL 273.613594 24.224106 \nL 274.26356 21.391771 \nL 274.913525 19.74711 \nL 275.238507 19.375768 \nL 275.56349 19.306571 \nL 275.888473 19.539692 \nL 276.213455 20.074553 \nL 276.863421 22.043368 \nL 277.513386 25.19336 \nL 278.163351 29.493049 \nL 279.138299 38.001231 \nL 280.113247 48.805897 \nL 281.413177 66.358222 \nL 283.038091 92.347952 \nL 285.312969 133.337983 \nL 288.562795 192.081345 \nL 290.187708 217.509943 \nL 291.487639 234.460753 \nL 292.462587 244.740579 \nL 293.437535 252.673751 \nL 294.0875 256.568545 \nL 294.737465 259.301106 \nL 295.38743 260.844126 \nL 295.712413 261.164269 \nL 296.037396 261.182195 \nL 296.362378 260.897839 \nL 296.687361 260.311933 \nL 297.337326 258.242027 \nL 297.987291 254.993171 \nL 298.637257 250.597816 \nL 299.612204 241.954206 \nL 300.587152 231.026523 \nL 301.887083 213.334155 \nL 303.511996 187.215577 \nL 305.786874 146.144828 \nL 309.036701 87.500821 \nL 310.661614 62.210679 \nL 311.961544 45.406355 \nL 312.936492 35.253485 \nL 313.91144 27.458805 \nL 314.561405 23.661208 \nL 315.211371 21.028612 \nL 315.861336 19.587331 \nL 316.186318 19.318396 \nL 316.511301 19.351759 \nL 316.836284 19.687322 \nL 317.161266 20.324257 \nL 317.811232 22.4951 \nL 318.461197 25.842596 \nL 319.111162 30.3333 \nL 320.08611 39.111698 \nL 321.061042 50.161633 \nL 322.360973 67.992731 \nL 323.985886 94.238238 \nL 326.260764 135.38673 \nL 329.510591 193.927192 \nL 331.135504 219.07709 \nL 332.435434 235.733747 \nL 333.410382 245.758959 \nL 334.38533 253.414624 \nL 335.035295 257.11478 \nL 335.685261 259.647241 \nL 336.335226 260.986709 \nL 336.660209 261.204419 \nL 336.985191 261.119794 \nL 337.310174 260.733059 \nL 337.635156 260.045169 \nL 338.285122 257.773578 \nL 338.935087 254.327713 \nL 339.585052 249.742001 \nL 340.56 240.829473 \nL 341.534948 229.658116 \nL 342.834878 211.689522 \nL 344.459792 185.318937 \nL 347.059653 138.048361 \nL 349.984496 85.66295 \nL 351.609409 60.655122 \nL 352.90934 44.147357 \nL 353.884288 34.25058 \nL 354.859236 26.734505 \nL 355.509201 23.132088 \nL 356.159166 20.69997 \nL 356.484149 19.930834 \nL 356.809131 19.462448 \nL 357.134114 19.296 \nL 357.459097 19.431887 \nL 357.784079 19.869785 \nL 358.109062 20.608585 \nL 358.759027 22.980799 \nL 359.408992 26.524808 \nL 360.058958 31.205229 \nL 361.033906 40.251292 \nL 362.008853 51.543279 \nL 363.308784 69.648058 \nL 364.933697 96.141831 \nL 367.533558 143.484377 \nL 370.133419 190.316835 \nL 371.758332 216.003044 \nL 373.058263 233.228395 \nL 374.033211 243.747047 \nL 375.008159 251.941368 \nL 375.658124 256.019778 \nL 376.308089 258.941444 \nL 376.958054 260.677156 \nL 377.283037 261.094397 \nL 377.60802 261.209592 \nL 377.933002 261.022434 \nL 378.257985 260.53341 \nL 378.582967 259.743735 \nL 379.232933 257.27108 \nL 379.882898 253.62917 \nL 380.532863 248.854399 \nL 381.507811 239.675477 \nL 382.482759 228.263645 \nL 383.782689 210.023975 \nL 385.407603 183.408932 \nL 385.732585 177.707335 \nL 385.732585 177.707335 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe30df2d7a9\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
    ]
   },
   {
diff --git a/examples/ode/DuffingEquation/Cos_wx_fitRandomSample.ipynb b/examples/ode/DuffingEquation/Cos_wx_fitRandomSample.ipynb
deleted file mode 100644
index aeb3b58c..00000000
--- a/examples/ode/DuffingEquation/Cos_wx_fitRandomSample.ipynb
+++ /dev/null
@@ -1,264 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "import numpy as np\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Duffing equation: Second order ODE system\n",
-    "dt = 0.01\n",
-    "\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return torch.cos(coeffs[\"w\"]*prev_val[\"x\"])\n",
-    "\n",
-    "ode = {\"x\": x_prime}\n",
-    "\n",
-    "# Initial conditions [0,0,0]\n",
-    "ode_init = {\"x\": 0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"w\": 5.}\n"
-   ]
-  },
-  {
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T22:37:27.236428</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"md9d41034ab\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#md9d41034ab\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(49.517102 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.694257\" xlink:href=\"#md9d41034ab\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(108.150507 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.690162\" xlink:href=\"#md9d41034ab\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(173.146412 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.686067\" xlink:href=\"#md9d41034ab\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(238.142317 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.681972\" xlink:href=\"#md9d41034ab\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(303.138222 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.677877\" xlink:href=\"#md9d41034ab\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(364.952877 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m0d4a16fd93\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m0d4a16fd93\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m0d4a16fd93\" y=\"222.713201\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.05 -->\n      <g transform=\"translate(7.2 226.512419)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m0d4a16fd93\" y=\"184.210401\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.10 -->\n      <g transform=\"translate(7.2 188.00962)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m0d4a16fd93\" y=\"145.707602\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.15 -->\n      <g transform=\"translate(7.2 149.506821)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m0d4a16fd93\" y=\"107.204803\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.20 -->\n      <g transform=\"translate(7.2 111.004022)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m0d4a16fd93\" y=\"68.702004\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 72.501222)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m0d4a16fd93\" y=\"30.199204\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.30 -->\n      <g transform=\"translate(7.2 33.998423)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p751f1e78c4)\" d=\"M 52.698352 261.216 \nL 55.623168 194.138146 \nL 57.248066 161.267042 \nL 58.872963 132.963523 \nL 60.172881 113.750594 \nL 61.472799 97.427621 \nL 62.772718 83.716915 \nL 64.072636 72.292848 \nL 65.372554 62.827264 \nL 66.672472 55.01458 \nL 67.97239 48.583064 \nL 69.272308 43.298011 \nL 70.572226 38.960242 \nL 71.872144 35.402893 \nL 73.172062 32.487118 \nL 74.47198 30.098103 \nL 75.771899 28.141157 \nL 77.071817 26.538435 \nL 78.696714 24.936793 \nL 80.321612 23.689192 \nL 81.94651 22.717466 \nL 83.896387 21.830699 \nL 86.171243 21.082133 \nL 88.77108 20.493227 \nL 92.020875 20.022052 \nL 95.920629 19.69438 \nL 101.445281 19.466124 \nL 110.869687 19.33568 \nL 135.568131 19.296711 \nL 377.352898 19.296 \nL 377.352898 19.296 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p751f1e78c4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"w\": 1.}\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(1.2359e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(6.0375, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(1.2707e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.7501, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(2.7073e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.8977, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(1.1740e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0984, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(3.1233e-10, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0082, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(4.2481e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9832, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(8.0158e-10, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9903, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(1.2423e-10, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9958, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(8.9816e-11, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9973, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(5.4187e-11, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9982, requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.5},\n",
-    "    max_epochs=10\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'w': Parameter containing:\n",
-       " tensor(4.9982, requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 11
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "results_test = ode_solver_train(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T22:40:16.404537</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m0f81f97043\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m0f81f97043\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(49.517102 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.694257\" xlink:href=\"#m0f81f97043\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(108.150507 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.690162\" xlink:href=\"#m0f81f97043\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(173.146412 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.686067\" xlink:href=\"#m0f81f97043\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(238.142317 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.681972\" xlink:href=\"#m0f81f97043\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(303.138222 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.677877\" xlink:href=\"#m0f81f97043\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(364.952877 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mfe7d6dc65a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mfe7d6dc65a\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mfe7d6dc65a\" y=\"222.726864\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.05 -->\n      <g transform=\"translate(7.2 226.526082)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mfe7d6dc65a\" y=\"184.237727\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.10 -->\n      <g transform=\"translate(7.2 188.036946)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mfe7d6dc65a\" y=\"145.748591\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.15 -->\n      <g transform=\"translate(7.2 149.54781)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mfe7d6dc65a\" y=\"107.259454\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.20 -->\n      <g transform=\"translate(7.2 111.058673)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mfe7d6dc65a\" y=\"68.770318\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 72.569537)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mfe7d6dc65a\" y=\"30.281182\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.30 -->\n      <g transform=\"translate(7.2 34.0804)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p41c4c2106b)\" d=\"M 52.698352 261.216 \nL 55.948148 186.854303 \nL 57.573045 154.492037 \nL 59.197943 126.826396 \nL 60.497861 108.172516 \nL 61.797779 92.419153 \nL 63.097697 79.265212 \nL 64.397615 68.368776 \nL 65.697533 59.391772 \nL 66.997451 52.023618 \nL 68.297369 45.991223 \nL 69.597288 41.060768 \nL 70.897206 37.035531 \nL 72.197124 33.751803 \nL 73.497042 31.074322 \nL 74.79696 28.891892 \nL 76.096878 27.113367 \nL 77.396796 25.664233 \nL 79.021694 24.224345 \nL 80.646591 23.109902 \nL 82.271489 22.2474 \nL 84.221366 21.465766 \nL 86.496223 20.811365 \nL 89.096059 20.301403 \nL 92.345854 19.898003 \nL 96.570588 19.605019 \nL 103.070179 19.406669 \nL 114.769442 19.313321 \nL 162.541432 19.296 \nL 377.352898 19.296 \nL 377.352898 19.296 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p41c4c2106b\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiwAAAGdCAYAAAAxCSikAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAxdklEQVR4nO3dfXxU9YHv8e/kaSZAMgKBBCTGwKoQowiJQoLxYVcD+LB67WvJ+hD0VVyXvT4Qc3fXUnCrvLaN3lfroi5gca1cthViL1ppb1wJ3VbglRRrTKit1NqKhkJCDMhMIJDH3/0jzOAYHuZMZs6Z4Of9ep0XyZnfnPmdH9j59vd0XMYYIwAAgDiW4HQFAAAAzobAAgAA4h6BBQAAxD0CCwAAiHsEFgAAEPcILAAAIO4RWAAAQNwjsAAAgLiX5HQFoqW/v1/79+9XWlqaXC6X09UBAABhMMaoo6NDEydOVELC6ftRzpnAsn//fmVnZztdDQAAEIG9e/dq0qRJp339nAksaWlpkgZuOD093eHaAACAcPj9fmVnZwe/x0/nnAksgWGg9PR0AgsAAMPM2aZzMOkWAADEPQILAACIewQWAAAQ9wgsAAAg7hFYAABA3COwAACAuEdgAQAAcY/AAgAA4h6BBQAAxD0CCwAAiHsEFgAAEPcILAAAIO6dMw8/xNAZY9TV26/O7j4d7eod+LO7V51dferq7VNPn1Fvf796+4x6+vqDv/f0GfX29avPGBkzcK3+fiMjyRip3wz8rBN/9p8oF/hZgZ9PvMe++7Xpc2y9KwCIna/PyVX2mBGOfDaB5SvCGKN9h4/p04OdA8ehozrgO66DR7vVfqRbB4906dDRbvX28+UKADi1W6dPJLAguo509ar+Twf17ieH9Js/+/Tb/T51HO8N+/2e5ASNTEnSCHeiRiQnyZOcoKTEBCUluJScmKCkxIE/kxNdSkoY+D3R5ZLLJSWc+FNyKcEluVySSydfk3Sy3Bd+1hfK2cWuj7LzngAgVjLTPY59NoHlHOLr7NHP3t+vn+1q0bufHlJPX2hvSXKiS9ljRihnzAjljB2pied5lDHKrbGj3Bo7MkVjRqYozZOkESlJSkzgGxYAED8ILOeAP7Yd0Qtv/0mbd+1Xd29/8PwFY0Zozl9k6Ipsry47/zxdlDlKyYnMswYADD8ElmFs/+FjeurN3+unv9kfnEB6SWaa7ph5vuZemqULM0Y6W0EAAKKEwDIM9fcbvVz3ib635UN1dvdJkm7My9T/vG6Krsg+Ty4mTAAAzjEElmHm0NFu/a9Xm/SLDz+TJBXmjNaTt12qSyd6Ha4ZAACxQ2AZRvYe6tTCH7yjPe1HlZKUoMdvnqa7Z+UogQmyAIBzHIFlmPhjW4fuenGn2jq6dP55qXpxYaHyJqY7XS0AAGxBYBkGWnzHtPCld9TW0aVLMtO0ftFVjq6FBwDAbgSWONdxvEf3/eDX2u87rsnjRmrjA7M1emSK09UCAMBWbMoRx4wxWvb6b/XhgQ6NT3Nr/devIqwAAL6SIgosq1evVm5urjwejwoKCrR9+/bTlt2xY4fmzJmjsWPHKjU1VVOnTtW//du/DSq3adMm5eXlye12Ky8vT6+//nokVTun/Ljhz9q8a78SE1xac0+BJo125vkNAAA4zXJgqa6uVkVFhZYtW6bGxkaVlJRo/vz5am5uPmX5kSNH6qGHHtK2bdu0e/duLV++XMuXL9fatWuDZerr61VWVqby8nLt2rVL5eXlWrBggXbu3Bn5nQ1zf/68U99643eSpMobL1ZBzmiHawQAgHNcxhhLj+edNWuWZs6cqTVr1gTPTZs2TbfffruqqqrCusYdd9yhkSNH6j//8z8lSWVlZfL7/XrzzTeDZebNm6fRo0drw4YNYV3T7/fL6/XK5/MpPX34r565//+8q627D+jKC0dr4wNFPNsHAHBOCvf721IPS3d3txoaGlRaWhpyvrS0VHV1dWFdo7GxUXV1dbr22muD5+rr6wddc+7cuWe8ZldXl/x+f8hxrvjv3x/Q1t0HlJTg0rf/x2WEFQDAV56lwNLe3q6+vj5lZmaGnM/MzFRra+sZ3ztp0iS53W4VFhbqwQcf1P333x98rbW11fI1q6qq5PV6g0d2draVW4lb/f1G//u/PpQkff3qXF2cmeZwjQAAcF5Ek26//KwaY8xZn1+zfft2vfvuu3rhhRe0cuXKQUM9Vq+5dOlS+Xy+4LF3716LdxGffvqb/fp9a4fSPEn6n9dNcbo6AADEBUv7sGRkZCgxMXFQz0dbW9ugHpIvy83NlSRddtllOnDggJ544gndeeedkqSsrCzL13S73XK73VaqH/f6+42e+/lHkqS/v2ayzhvBEmYAACSLPSwpKSkqKChQbW1tyPna2loVFxeHfR1jjLq6uoK/FxUVDbrmli1bLF3zXPCLD9v0p8+OKs2TpPvm5DpdHQAA4oblnW4rKytVXl6uwsJCFRUVae3atWpubtbixYslDQzV7Nu3T+vXr5ckrVq1ShdccIGmTp0qaWBflu9+97t6+OGHg9dcsmSJrrnmGj399NO67bbb9MYbb2jr1q3asWNHNO5x2Hhx+8eSpLuuukCj3GxCDABAgOVvxbKyMh08eFArVqxQS0uL8vPzVVNTo5ycHElSS0tLyJ4s/f39Wrp0qfbs2aOkpCRNmTJFTz31lP7+7/8+WKa4uFgbN27U8uXL9fjjj2vKlCmqrq7WrFmzonCLw8PuFr9+9fEhJSW4dN+cC52uDgAAccXyPizxarjvw/LE5t9pXd0nmp+fpTX3FDhdHQAAbBGTfVgQG129ffpJ0z5J0oIrz43l2QAARBOBJQ7UfnBAhzt7NMHr0TUXjXO6OgAAxB0CSxzY3LRfknTHzPPZ1RYAgFMgsDjsSFevfvmHzyRJt1w+0eHaAAAQnwgsDvv57gPq7u3X5IyRmprFNvwAAJwKgcVhb74/sMPv/Muyzvp4AwAAvqoILA7q6u3Tto8GhoPm509wuDYAAMQvAouDfr3nc3V292l8mluXThx+e8cAAGAXAouDfvlhmyTp2ovHMRwEAMAZEFgcFFgddN0l4x2uCQAA8Y3A4pA/f96pP7YdUWKCS1dflOF0dQAAiGsEFof86uNDkqTLJ3nlTU12uDYAAMQ3AotDdn58UJI0K3eswzUBACD+EVgcsnPPQA/LrMljHK4JAADxj8DigBbfMTUf6lSCSyrMGe10dQAAiHsEFge8c6J35dKJXqV5mL8CAMDZEFgc8OtPBgLLVbkMBwEAEA4CiwN27fVJkmZewHAQAADhILDY7HhPn3a3+CVJ07O9DtcGAIDhgcBisw9a/OrtN8oYlaLzz0t1ujoAAAwLBBab/WbvYUnS9Enn8fwgAADCRGCx2a4/D8xfuXzSec5WBACAYYTAYrNdgR4W5q8AABA2AouNjnb1as/Bo5Kky84nsAAAEC4Ci40+PNAhY6TxaW6NHeV2ujoAAAwbBBYb/b6lQ5I0dUK6wzUBAGB4IbDY6PetA/uvTMtKc7gmAAAMLwQWGwU2jJtGDwsAAJYQWGxijPnCkBA9LAAAWEFgscm+w8fU0dWr5ESXJmeMcro6AAAMKwQWm3zYOtC7MmXcKKUk0ewAAFjBN6dN/vTZEUnSX4yndwUAAKsILDb5U9vAhnFTxhFYAACwisBik0APyxR6WAAAsIzAYpNgYBk30uGaAAAw/BBYbHDoaLc+7+yRJFYIAQAQAQKLDQK9K+efl6rUlESHawMAwPBDYLHBn9qYvwIAwFAQWGzA/BUAAIaGwGKDPe2dkqTcDAILAACRILDYYO+hgcBywZgRDtcEAIDhicASY8YYNZ8ILDlj6WEBACASEQWW1atXKzc3Vx6PRwUFBdq+fftpy7722mu68cYbNW7cOKWnp6uoqEhvvfVWSJl169bJ5XINOo4fPx5J9eLKZ0e6dKynTwmugVVCAADAOsuBpbq6WhUVFVq2bJkaGxtVUlKi+fPnq7m5+ZTlt23bphtvvFE1NTVqaGjQ9ddfr1tvvVWNjY0h5dLT09XS0hJyeDyeyO4qjjQfHOhdmeBN5aGHAABEKMnqG5555hktWrRI999/vyRp5cqVeuutt7RmzRpVVVUNKr9y5cqQ37/zne/ojTfe0E9/+lPNmDEjeN7lcikrK8tqdeJeM/NXAAAYMkv/l7+7u1sNDQ0qLS0NOV9aWqq6urqwrtHf36+Ojg6NGTMm5PyRI0eUk5OjSZMm6ZZbbhnUA/NlXV1d8vv9IUc8Ojl/hcACAECkLAWW9vZ29fX1KTMzM+R8ZmamWltbw7rG9773PR09elQLFiwInps6darWrVunzZs3a8OGDfJ4PJozZ44++uij016nqqpKXq83eGRnZ1u5FdsEhoSy6WEBACBiEU2qcLlcIb8bYwadO5UNGzboiSeeUHV1tcaPHx88P3v2bN1zzz2aPn26SkpK9Oqrr+riiy/W888/f9prLV26VD6fL3js3bs3kluJOXpYAAAYOktzWDIyMpSYmDioN6WtrW1Qr8uXVVdXa9GiRfrxj3+sG2644YxlExISdOWVV56xh8XtdsvtdodfeYd8yhwWAACGzFIPS0pKigoKClRbWxtyvra2VsXFxad934YNG3TffffplVde0c0333zWzzHGqKmpSRMmTLBSvbhzvKdPn3V0SZKyRxNYAACIlOVVQpWVlSovL1dhYaGKioq0du1aNTc3a/HixZIGhmr27dun9evXSxoIKwsXLtSzzz6r2bNnB3tnUlNT5fV6JUlPPvmkZs+erYsuukh+v1/PPfecmpqatGrVqmjdpyNafAP7yIxISdR5I5Idrg0AAMOX5cBSVlamgwcPasWKFWppaVF+fr5qamqUk5MjSWppaQnZk+X73/++ent79eCDD+rBBx8Mnr/33nu1bt06SdLhw4f1wAMPqLW1VV6vVzNmzNC2bdt01VVXDfH2nLX/8DFJ0sTzUsOa4wMAAE7NZYwxTlciGvx+v7xer3w+n9LT052ujiTpx+/u1T/939+o5KIM/eeiWU5XBwCAuBPu9zdbr8bQ/sMDQ0JsyQ8AwNAQWGLoi0NCAAAgcgSWGNrvI7AAABANBJYY2hfsYRn+D3EEAMBJBJYYMcaohTksAABEBYElRg539uhYT58kKctLDwsAAENBYImRwHBQxii33EmJDtcGAIDhjcASI/uZvwIAQNQQWGLkwIlnCGWlE1gAABgqAkuMtPkHJtxmElgAABgyAkuMHAgGFrfDNQEAYPgjsMTIAf/AkNB4elgAABgyAkuMHGBICACAqCGwxEjbiUm3DAkBADB0BJYY6Ort06Gj3ZKkzDR6WAAAGCoCSwx8dqJ3JSUxQeeNSHa4NgAADH8ElhgITLgdl+aWy+VyuDYAAAx/BJYYaGNJMwAAUUVgiYGTE26ZvwIAQDQQWGKAJc0AAEQXgSUGTm4ax5AQAADRQGCJgbaOgR6WcaMILAAARAOBJQbajwzswZKRRmABACAaCCwxcPDIiWXN9LAAABAVBJYo6+83Onhil9sMAgsAAFFBYIky37Ee9fUbSdKYkSkO1wYAgHMDgSXK2k8MB3lTk5WSRPMCABANfKNGWWDC7dhR9K4AABAtBJYoC/SwMH8FAIDoIbBE2cnAQg8LAADRQmCJsoNHWCEEAEC0EViijCEhAACij8ASZUy6BQAg+ggsUUYPCwAA0UdgiTIm3QIAEH0Elihj0i0AANFHYImizu5eHevpkySNJbAAABA1BJYoOnTioYcpiQkamZLocG0AADh3EFii6HBnjyTpvBHJcrlcDtcGAIBzB4EligI9LDylGQCA6CKwRNHnnQOB5bwRyQ7XBACAcwuBJYoCQ0L0sAAAEF0RBZbVq1crNzdXHo9HBQUF2r59+2nLvvbaa7rxxhs1btw4paenq6ioSG+99dagcps2bVJeXp7cbrfy8vL0+uuvR1I1RwWGhM4bQWABACCaLAeW6upqVVRUaNmyZWpsbFRJSYnmz5+v5ubmU5bftm2bbrzxRtXU1KihoUHXX3+9br31VjU2NgbL1NfXq6ysTOXl5dq1a5fKy8u1YMEC7dy5M/I7c8DhE0NCoxkSAgAgqlzGGGPlDbNmzdLMmTO1Zs2a4Llp06bp9ttvV1VVVVjXuPTSS1VWVqZ/+Zd/kSSVlZXJ7/frzTffDJaZN2+eRo8erQ0bNoR1Tb/fL6/XK5/Pp/T0dAt3FD2PbGjU5l37tfzmabq/ZLIjdQAAYDgJ9/vbUg9Ld3e3GhoaVFpaGnK+tLRUdXV1YV2jv79fHR0dGjNmTPBcfX39oGvOnTs37GvGi8+DPSwMCQEAEE1JVgq3t7err69PmZmZIeczMzPV2toa1jW+973v6ejRo1qwYEHwXGtrq+VrdnV1qaurK/i73+8P6/NjKRhYRjIkBABANEU06fbLm6IZY8LaKG3Dhg164oknVF1drfHjxw/pmlVVVfJ6vcEjOzvbwh3ExudHB1YJ0cMCAEB0WQosGRkZSkxMHNTz0dbWNqiH5Muqq6u1aNEivfrqq7rhhhtCXsvKyrJ8zaVLl8rn8wWPvXv3WrmVmGBICACA2LAUWFJSUlRQUKDa2tqQ87W1tSouLj7t+zZs2KD77rtPr7zyim6++eZBrxcVFQ265pYtW854TbfbrfT09JDDScd7+tTZPfDgw9HswwIAQFRZmsMiSZWVlSovL1dhYaGKioq0du1aNTc3a/HixZIGej727dun9evXSxoIKwsXLtSzzz6r2bNnB3tSUlNT5fV6JUlLlizRNddco6efflq33Xab3njjDW3dulU7duyI1n3GXGDTuMQEl9I9lpsVAACcgeU5LGVlZVq5cqVWrFihK664Qtu2bVNNTY1ycnIkSS0tLSF7snz/+99Xb2+vHnzwQU2YMCF4LFmyJFimuLhYGzdu1Msvv6zLL79c69atU3V1tWbNmhWFW7RHcFv+VB58CABAtFnehyVeOb0PS92f2nXXizv1F+NHaWvltbZ/PgAAw1FM9mHB6Z1cIcSSZgAAoo3AEiUnn9TMhFsAAKKNwBIlgecIjSGwAAAQdQSWKDl0YkjoPHa5BQAg6ggsUUIPCwAAsUNgiRJ2uQUAIHYILFFy6MTGceexSggAgKgjsESJL/ikZnpYAACINgJLlPiODfSweFPpYQEAINoILFFgjJH/eK8kAgsAALFAYImCo9196usfeMJBuofAAgBAtBFYoiAwHJSSmCBPMk0KAEC08e0aBf4TgSU9NYknNQMAEAMElijwBQMLw0EAAMQCgSUKgj0szF8BACAmCCxRQA8LAACxRWCJApY0AwAQWwSWKAj2sHiSHK4JAADnJgJLFPjZ5RYAgJgisESBnzksAADEFIElCvzH6WEBACCWCCxR4GNZMwAAMUVgiQL/MVYJAQAQSwSWKPB9YWt+AAAQfQSWKGAOCwAAsUVgGaKevn51dvdJYg4LAACxQmAZosCSZklKY+M4AABigsAyRIH5K6PcSUpKpDkBAIgFvmGHiOcIAQAQewSWIQr0sDAcBABA7BBYhojnCAEAEHsEliHy8RwhAABijsAyROzBAgBA7BFYhojnCAEAEHsEliHiOUIAAMQegWWIAkNCrBICACB2CCxDdOTEPiwEFgAAYofAMkQdwR4WhoQAAIgVAssQHemihwUAgFgjsAxRYEholJvAAgBArBBYhqiDOSwAAMQcgWUI+vuNjnSf6GEhsAAAEDMEliHo7OmTMQM/p7mZdAsAQKxEFFhWr16t3NxceTweFRQUaPv27act29LSorvuukuXXHKJEhISVFFRMajMunXr5HK5Bh3Hjx+PpHq2CcxfSUxwyZNM9gMAIFYsf8tWV1eroqJCy5YtU2Njo0pKSjR//nw1NzefsnxXV5fGjRunZcuWafr06ae9bnp6ulpaWkIOj8djtXq26vjCpnEul8vh2gAAcO6yHFieeeYZLVq0SPfff7+mTZumlStXKjs7W2vWrDll+QsvvFDPPvusFi5cKK/Xe9rrulwuZWVlhRzxrqOLFUIAANjBUmDp7u5WQ0ODSktLQ86Xlpaqrq5uSBU5cuSIcnJyNGnSJN1yyy1qbGw8Y/muri75/f6Qw24saQYAwB6WAkt7e7v6+vqUmZkZcj4zM1Otra0RV2Lq1Klat26dNm/erA0bNsjj8WjOnDn66KOPTvueqqoqeb3e4JGdnR3x50cqsGkcT2oGACC2Ipop+uX5GsaYIc3hmD17tu655x5Nnz5dJSUlevXVV3XxxRfr+eefP+17li5dKp/PFzz27t0b8edHKjCHhSXNAADElqVv2oyMDCUmJg7qTWlraxvU6zIUCQkJuvLKK8/Yw+J2u+V2u6P2mZHoYEgIAABbWOphSUlJUUFBgWpra0PO19bWqri4OGqVMsaoqalJEyZMiNo1YyEwJEQPCwAAsWX5m7ayslLl5eUqLCxUUVGR1q5dq+bmZi1evFjSwFDNvn37tH79+uB7mpqaJA1MrP3ss8/U1NSklJQU5eXlSZKefPJJzZ49WxdddJH8fr+ee+45NTU1adWqVVG4xdhhW34AAOxh+Zu2rKxMBw8e1IoVK9TS0qL8/HzV1NQoJydH0sBGcV/ek2XGjBnBnxsaGvTKK68oJydHn3zyiSTp8OHDeuCBB9Ta2iqv16sZM2Zo27Ztuuqqq4Zwa7EXWCWUxpAQAAAx5TImsLn88Ob3++X1euXz+ZSenm7LZz74o/f0/95v0RO35um+Obm2fCYAAOeScL+/2U9+CAIbx6WxrBkAgJgisAwBy5oBALAHgWUImMMCAIA9CCxDwLJmAADsQWAZgmAPC3NYAACIKQJLhPr7jY50s9MtAAB2ILBE6Gh3rwILwtk4DgCA2CKwRCgwfyUpwSV3Es0IAEAs8U0boS9uyz+UJ1UDAICzI7BEKPikZoaDAACIOQJLhIJLmt2sEAIAINYILBE6wpOaAQCwDYElQoFt+dnlFgCA2COwRCgwJDSSwAIAQMwRWCLEtvwAANiHwBKhzu4+SexyCwCAHQgsEQr0sIxISXS4JgAAnPsILBE62sVzhAAAsAuBJUJHuwaGhEakEFgAAIg1AkuEjgZXCTEkBABArBFYItTZfSKw0MMCAEDMEVgixD4sAADYh8ASocCyZoaEAACIPQJLhOhhAQDAPgSWCBhjTvawMIcFAICYI7BEoKu3X339RhJDQgAA2IHAEoHAkmaJfVgAALADgSUCgU3jUpMTlZjgcrg2AACc+wgsETjazaZxAADYicASgaOsEAIAwFYElggcZYUQAAC2IrBEgOcIAQBgLwJLBBgSAgDAXgSWCAQDC0NCAADYgsASgaM8RwgAAFsRWCIQ6GFh0zgAAOxBYIlAILCMYg4LAAC2ILBEIDAkNIIhIQAAbEFgiQA9LAAA2IvAEoFgDwtzWAAAsAWBJQIne1gYEgIAwA4ElgiwSggAAHtFFFhWr16t3NxceTweFRQUaPv27act29LSorvuukuXXHKJEhISVFFRccpymzZtUl5entxut/Ly8vT6669HUjVbnHxaM4EFAAA7WA4s1dXVqqio0LJly9TY2KiSkhLNnz9fzc3Npyzf1dWlcePGadmyZZo+ffopy9TX16usrEzl5eXatWuXysvLtWDBAu3cudNq9WzR2cXGcQAA2MlljDFW3jBr1izNnDlTa9asCZ6bNm2abr/9dlVVVZ3xvdddd52uuOIKrVy5MuR8WVmZ/H6/3nzzzeC5efPmafTo0dqwYUNY9fL7/fJ6vfL5fEpPTw//hiJwyfI31dXbr+3/fL2yx4yI6WcBAHAuC/f721IPS3d3txoaGlRaWhpyvrS0VHV1dZHVVAM9LF++5ty5c4d0zVjp7etXV2+/JIaEAACwi6Vv3Pb2dvX19SkzMzPkfGZmplpbWyOuRGtrq+VrdnV1qaurK/i73++P+POtCCxplhgSAgDALhFNunW5XCG/G2MGnYv1NauqquT1eoNHdnb2kD4/XJ0nJtwmJ7rkTiKwAABgB0uBJSMjQ4mJiYN6Ptra2gb1kFiRlZVl+ZpLly6Vz+cLHnv37o34861gSTMAAPazFFhSUlJUUFCg2trakPO1tbUqLi6OuBJFRUWDrrlly5YzXtPtdis9PT3ksMPREyuE2JYfAAD7WP7WraysVHl5uQoLC1VUVKS1a9equblZixcvljTQ87Fv3z6tX78++J6mpiZJ0pEjR/TZZ5+pqalJKSkpysvLkyQtWbJE11xzjZ5++mnddttteuONN7R161bt2LEjCrcYXSd7WBgOAgDALpYDS1lZmQ4ePKgVK1aopaVF+fn5qqmpUU5OjqSBjeK+vCfLjBkzgj83NDTolVdeUU5Ojj755BNJUnFxsTZu3Kjly5fr8ccf15QpU1RdXa1Zs2YN4dZiIzDplhVCAADYx/I+LPHKrn1YftK4TxXVTZrzF2P1o/tnx+xzAAD4KojJPiz4wrb8TLoFAMA2BBaLAnNYGBICAMA+BBaLjvAcIQAAbEdgsaiziyEhAADsRmCxKDiHhSEhAABsQ2CxKLBxHPuwAABgHwKLRUy6BQDAfgQWizq76WEBAMBuBBaLOntOrBJi0i0AALYhsFjUybOEAACwHYHFosCQUCqBBQAA2xBYLDrWE5jDwpAQAAB2IbBY1NnNkBAAAHYjsFjQ3290vKdfEkNCAADYicBiQWA4SKKHBQAAOxFYLAhMuJUkTxKBBQAAuxBYLDgWWCGUnKiEBJfDtQEA4KuDwGJBZ09gW356VwAAsBOBxYLAgw+ZcAsAgL0ILBYEhoRGJLMHCwAAdiKwWBDYg4UeFgAA7EVgseDkLrcEFgAA7ERgsSCwrJnAAgCAvQgsFpx88CFzWAAAsBOBxYJjgecIJdPDAgCAnQgsFpzsYSGwAABgJwKLBYHAwsZxAADYi8BiQXAfFuawAABgKwKLBUcD+7AwhwUAAFsRWCw4xrJmAAAcQWCxgEm3AAA4g8BiQWcPc1gAAHACgcWC4D4s9LAAAGArAosFDAkBAOAMAosFgUm3IxkSAgDAVgQWC3j4IQAAziCwhKm/3+hYD0NCAAA4gcASpkBYkehhAQDAbgSWMAWGgyTJk0RgAQDATgSWMAUm3KYmJyohweVwbQAA+GohsISps4c9WAAAcAqBJUzswQIAgHMILGHiwYcAADgnosCyevVq5ebmyuPxqKCgQNu3bz9j+bffflsFBQXyeDyaPHmyXnjhhZDX161bJ5fLNeg4fvx4JNWLiZN7sLBpHAAAdrMcWKqrq1VRUaFly5apsbFRJSUlmj9/vpqbm09Zfs+ePbrppptUUlKixsZGffOb39QjjzyiTZs2hZRLT09XS0tLyOHxeCK7qxjo5DlCAAA4xnJ3wTPPPKNFixbp/vvvlyStXLlSb731ltasWaOqqqpB5V944QVdcMEFWrlypSRp2rRpevfdd/Xd735XX/va14LlXC6XsrKyIryN2GNICAAA51jqYenu7lZDQ4NKS0tDzpeWlqquru6U76mvrx9Ufu7cuXr33XfV09MTPHfkyBHl5ORo0qRJuuWWW9TY2HjGunR1dcnv94ccsXRy0i1DQgAA2M1SYGlvb1dfX58yMzNDzmdmZqq1tfWU72ltbT1l+d7eXrW3t0uSpk6dqnXr1mnz5s3asGGDPB6P5syZo48++ui0damqqpLX6w0e2dnZVm7FsuCQUDI9LAAA2C2iSbcuV+jGacaYQefOVv6L52fPnq177rlH06dPV0lJiV599VVdfPHFev755097zaVLl8rn8wWPvXv3RnIrYWNZMwAAzrE0vpGRkaHExMRBvSltbW2DelECsrKyTlk+KSlJY8eOPeV7EhISdOWVV56xh8Xtdsvtdlup/pDwpGYAAJxjqYclJSVFBQUFqq2tDTlfW1ur4uLiU76nqKhoUPktW7aosLBQycnJp3yPMUZNTU2aMGGClerFFJNuAQBwjuUhocrKSv3Hf/yHfvCDH2j37t169NFH1dzcrMWLF0saGKpZuHBhsPzixYv16aefqrKyUrt379YPfvADvfTSS/rHf/zHYJknn3xSb731lj7++GM1NTVp0aJFampqCl4zHnT2sA8LAABOsfztW1ZWpoMHD2rFihVqaWlRfn6+ampqlJOTI0lqaWkJ2ZMlNzdXNTU1evTRR7Vq1SpNnDhRzz33XMiS5sOHD+uBBx5Qa2urvF6vZsyYoW3btumqq66Kwi1GxzH2YQEAwDEuE5gBO8z5/X55vV75fD6lp6dH/fp3vfgr1f3poJ792yt02xXnR/36AAB8FYX7/c2zhMLE1vwAADiHwBImJt0CAOAcAkuYjp6Yw8I+LAAA2I/AEiZ6WAAAcA6BJUzBOSzJzGEBAMBuBJYw9PcbHetha34AAJxCYAnD8d6+4M8j3QQWAADsRmAJQ2A4SJI8SQQWAADsRmAJQ2DCbWpyohISTv9UagAAEBsEljDwpGYAAJxFYAlDJ3uwAADgKAJLGNiDBQAAZxFYwnA0MIeF5wgBAOAIAksYAkNCI5LpYQEAwAkEljAEhoTYgwUAAGcQWMLQyZAQAACOIrCEIbAtP0NCAAA4g8ASBpY1AwDgLAJLGNg4DgAAZxFYwsA+LAAAOIvAEgYm3QIA4CwCSxiC+7DQwwIAgCMILGFgDgsAAM4isIThZGBhSAgAACcQWMLApFsAAJxFYAlDZw/7sAAA4CQCSxjoYQEAwFkEljAE57AkM4cFAAAnEFjOwhgTfJYQQ0IAADiDwHIWx3v6ZczAzwwJAQDgDALLWQQ2jZOkVJ7WDACAIwgsZxGYv+JJTlBCgsvh2gAA8NVEYDmLQGAZyaZxAAA4hsByFoEhISbcAgDgHALLWbAHCwAAziOwnEVgSCiVISEAABxDYDmLzp7ApnH0sAAA4BQCy1kcOzGHhSEhAACcQ2A5i5NDQgQWAACcQmA5i04m3QIA4DgCy1l0BoeEmHQLAIBTCCxnQQ8LAADOiyiwrF69Wrm5ufJ4PCooKND27dvPWP7tt99WQUGBPB6PJk+erBdeeGFQmU2bNikvL09ut1t5eXl6/fXXI6la1LEPCwAAzrMcWKqrq1VRUaFly5apsbFRJSUlmj9/vpqbm09Zfs+ePbrppptUUlKixsZGffOb39QjjzyiTZs2BcvU19errKxM5eXl2rVrl8rLy7VgwQLt3Lkz8juLEvZhAQDAeS5jjLHyhlmzZmnmzJlas2ZN8Ny0adN0++23q6qqalD5xx57TJs3b9bu3buD5xYvXqxdu3apvr5eklRWVia/368333wzWGbevHkaPXq0NmzYEFa9/H6/vF6vfD6f0tPTrdzSGd3/f97V1t0HVHXHZbrzqguidl0AABD+97elHpbu7m41NDSotLQ05Hxpaanq6upO+Z76+vpB5efOnat3331XPT09ZyxzumtKUldXl/x+f8gRC8d62IcFAACnWQos7e3t6uvrU2ZmZsj5zMxMtba2nvI9ra2tpyzf29ur9vb2M5Y53TUlqaqqSl6vN3hkZ2dbuZWwBYeE2OkWAADHRDTp1uVyhfxujBl07mzlv3ze6jWXLl0qn88XPPbu3Rt2/a34m4JsLb52iqaMHxWT6wMAgLOzNJM0IyNDiYmJg3o+2traBvWQBGRlZZ2yfFJSksaOHXvGMqe7piS53W653W4r1Y/IXbOYtwIAgNMs9bCkpKSooKBAtbW1Iedra2tVXFx8yvcUFRUNKr9lyxYVFhYqOTn5jGVOd00AAPDVYnmtbmVlpcrLy1VYWKiioiKtXbtWzc3NWrx4saSBoZp9+/Zp/fr1kgZWBP37v/+7Kisr9Xd/93eqr6/XSy+9FLL6Z8mSJbrmmmv09NNP67bbbtMbb7yhrVu3aseOHVG6TQAAMJxZDixlZWU6ePCgVqxYoZaWFuXn56umpkY5OTmSpJaWlpA9WXJzc1VTU6NHH31Uq1at0sSJE/Xcc8/pa1/7WrBMcXGxNm7cqOXLl+vxxx/XlClTVF1drVmzZkXhFgEAwHBneR+WeBWrfVgAAEDsxGQfFgAAACcQWAAAQNwjsAAAgLhHYAEAAHGPwAIAAOIegQUAAMQ9AgsAAIh7BBYAABD3CCwAACDuWd6aP14FNuz1+/0O1wQAAIQr8L19to33z5nA0tHRIUnKzs52uCYAAMCqjo4Oeb3e075+zjxLqL+/X/v371daWppcLlfUruv3+5Wdna29e/fyjKIYo63tQTvbg3a2B+1sn1i1tTFGHR0dmjhxohISTj9T5ZzpYUlISNCkSZNidv309HT+Y7AJbW0P2tketLM9aGf7xKKtz9SzEsCkWwAAEPcILAAAIO4RWM7C7XbrW9/6ltxut9NVOefR1vagne1BO9uDdraP0219zky6BQAA5y56WAAAQNwjsAAAgLhHYAEAAHGPwAIAAOIegeUsVq9erdzcXHk8HhUUFGj79u1OV2nYqKqq0pVXXqm0tDSNHz9et99+uz788MOQMsYYPfHEE5o4caJSU1N13XXX6Xe/+11Ima6uLj388MPKyMjQyJEj9dd//df685//bOetDCtVVVVyuVyqqKgInqOdo2ffvn265557NHbsWI0YMUJXXHGFGhoagq/T1kPX29ur5cuXKzc3V6mpqZo8ebJWrFih/v7+YBna2bpt27bp1ltv1cSJE+VyufSTn/wk5PVotennn3+u8vJyeb1eeb1elZeX6/Dhw0O/AYPT2rhxo0lOTjYvvvii+eCDD8ySJUvMyJEjzaeffup01YaFuXPnmpdfftn89re/NU1NTebmm282F1xwgTly5EiwzFNPPWXS0tLMpk2bzPvvv2/KysrMhAkTjN/vD5ZZvHixOf/8801tba157733zPXXX2+mT59uent7nbituPbOO++YCy+80Fx++eVmyZIlwfO0c3QcOnTI5OTkmPvuu8/s3LnT7Nmzx2zdutX88Y9/DJahrYfuX//1X83YsWPNz372M7Nnzx7z4x//2IwaNcqsXLkyWIZ2tq6mpsYsW7bMbNq0yUgyr7/+esjr0WrTefPmmfz8fFNXV2fq6upMfn6+ueWWW4ZcfwLLGVx11VVm8eLFIeemTp1qvvGNbzhUo+Gtra3NSDJvv/22McaY/v5+k5WVZZ566qlgmePHjxuv12teeOEFY4wxhw8fNsnJyWbjxo3BMvv27TMJCQnmv/7rv+y9gTjX0dFhLrroIlNbW2uuvfbaYGChnaPnscceM1dfffVpX6eto+Pmm282X//610PO3XHHHeaee+4xxtDO0fDlwBKtNv3ggw+MJPOrX/0qWKa+vt5IMr///e+HVGeGhE6ju7tbDQ0NKi0tDTlfWlqquro6h2o1vPl8PknSmDFjJEl79uxRa2trSBu73W5de+21wTZuaGhQT09PSJmJEycqPz+fv4cvefDBB3XzzTfrhhtuCDlPO0fP5s2bVVhYqL/5m7/R+PHjNWPGDL344ovB12nr6Lj66qv185//XH/4wx8kSbt27dKOHTt00003SaKdYyFabVpfXy+v16tZs2YFy8yePVter3fI7X7OPPww2trb29XX16fMzMyQ85mZmWptbXWoVsOXMUaVlZW6+uqrlZ+fL0nBdjxVG3/66afBMikpKRo9evSgMvw9nLRx40a99957+vWvfz3oNdo5ej7++GOtWbNGlZWV+uY3v6l33nlHjzzyiNxutxYuXEhbR8ljjz0mn8+nqVOnKjExUX19ffr2t7+tO++8UxL/pmMhWm3a2tqq8ePHD7r++PHjh9zuBJazcLlcIb8bYwadw9k99NBD+s1vfqMdO3YMei2SNubv4aS9e/dqyZIl2rJlizwez2nL0c5D19/fr8LCQn3nO9+RJM2YMUO/+93vtGbNGi1cuDBYjrYemurqav3whz/UK6+8oksvvVRNTU2qqKjQxIkTde+99wbL0c7RF402PVX5aLQ7Q0KnkZGRocTExEGJsK2tbVACxZk9/PDD2rx5s37xi19o0qRJwfNZWVmSdMY2zsrKUnd3tz7//PPTlvmqa2hoUFtbmwoKCpSUlKSkpCS9/fbbeu6555SUlBRsJ9p56CZMmKC8vLyQc9OmTVNzc7Mk/k1Hyz/90z/pG9/4hv72b/9Wl112mcrLy/Xoo4+qqqpKEu0cC9Fq06ysLB04cGDQ9T/77LMhtzuB5TRSUlJUUFCg2trakPO1tbUqLi52qFbDizFGDz30kF577TX993//t3Jzc0Nez83NVVZWVkgbd3d36+233w62cUFBgZKTk0PKtLS06Le//S1/Dyf81V/9ld5//301NTUFj8LCQt19991qamrS5MmTaecomTNnzqCl+X/4wx+Uk5MjiX/T0dLZ2amEhNCvp8TExOCyZto5+qLVpkVFRfL5fHrnnXeCZXbu3Cmfzzf0dh/SlN1zXGBZ80svvWQ++OADU1FRYUaOHGk++eQTp6s2LPzDP/yD8Xq95pe//KVpaWkJHp2dncEyTz31lPF6vea1114z77//vrnzzjtPuYxu0qRJZuvWrea9994zf/mXf/mVXpoYji+uEjKGdo6Wd955xyQlJZlvf/vb5qOPPjI/+tGPzIgRI8wPf/jDYBnaeujuvfdec/755weXNb/22msmIyPD/PM//3OwDO1sXUdHh2lsbDSNjY1GknnmmWdMY2NjcKuOaLXpvHnzzOWXX27q6+tNfX29ueyyy1jWbIdVq1aZnJwck5KSYmbOnBlckouzk3TK4+WXXw6W6e/vN9/61rdMVlaWcbvd5pprrjHvv/9+yHWOHTtmHnroITNmzBiTmppqbrnlFtPc3Gzz3QwvXw4stHP0/PSnPzX5+fnG7XabqVOnmrVr14a8TlsPnd/vN0uWLDEXXHCB8Xg8ZvLkyWbZsmWmq6srWIZ2tu4Xv/jFKf83+d577zXGRK9NDx48aO6++26TlpZm0tLSzN13320+//zzIdffZYwxQ+ujAQAAiC3msAAAgLhHYAEAAHGPwAIAAOIegQUAAMQ9AgsAAIh7BBYAABD3CCwAACDuEVgAAEDcI7AAAIC4R2ABAABxj8ACAADiHoEFAADEvf8PSABLzXpKcvsAAAAASUVORK5CYII=\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot\n",
-    "plt.plot(results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
\ No newline at end of file
diff --git a/examples/ode/DuffingEquation/a_Cos_wt_fitRandomSample.ipynb b/examples/ode/DuffingEquation/a_Cos_wt_fitRandomSample.ipynb
new file mode 100644
index 00000000..2a20120f
--- /dev/null
+++ b/examples/ode/DuffingEquation/a_Cos_wt_fitRandomSample.ipynb
@@ -0,0 +1,813 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "import numpy as np\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Duffing equation: Second order ODE system\n",
+    "dt = 0.01\n",
+    "\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"a\"]*torch.cos(coeffs[\"w\"]*prev_val[\"t\"])\n",
+    "\n",
+    "def t_prime(prev_val, coeffs):\n",
+    "    return 1\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"t\": t_prime}\n",
+    "\n",
+    "# Initial conditions [0,0,0]\n",
+    "ode_init = {\"x\": 0, \"t\": 0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"a\": 3., \"w\": 5.}\n"
+   ]
+  },
+  {
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000,  0.0000],\n",
+       "        [ 0.0300,  0.0100],\n",
+       "        [ 0.0599,  0.0200],\n",
+       "        ...,\n",
+       "        [-0.2418,  9.9701],\n",
+       "        [-0.2140,  9.9801],\n",
+       "        [-0.1858,  9.9901]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 5
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T01:33:34.139150</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"me6619503ea\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.71554\" xlink:href=\"#me6619503ea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(51.53429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"119.710578\" xlink:href=\"#me6619503ea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(116.529328 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"184.705615\" xlink:href=\"#me6619503ea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(181.524365 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.700653\" xlink:href=\"#me6619503ea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(246.519403 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"314.695691\" xlink:href=\"#me6619503ea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(311.514441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"379.690729\" xlink:href=\"#me6619503ea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(373.328229 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"md1d458ab6b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1d458ab6b\" y=\"261.217125\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.6 -->\n      <g transform=\"translate(7.2 265.016343)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1d458ab6b\" y=\"220.896844\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.4 -->\n      <g transform=\"translate(7.2 224.696063)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1d458ab6b\" y=\"180.576563\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.2 -->\n      <g transform=\"translate(7.2 184.375782)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1d458ab6b\" y=\"140.256282\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 144.055501)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1d458ab6b\" y=\"99.936002\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.2 -->\n      <g transform=\"translate(15.579688 103.73522)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1d458ab6b\" y=\"59.615721\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.4 -->\n      <g transform=\"translate(15.579688 63.41494)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1d458ab6b\" y=\"19.29544\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.6 -->\n      <g transform=\"translate(15.579688 23.094659)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p29b99ca597)\" d=\"M 54.71554 140.256282 \nL 57.640316 87.642484 \nL 59.265192 62.331163 \nL 60.565093 45.504392 \nL 61.54002 35.332027 \nL 62.514946 27.516033 \nL 63.164895 23.703464 \nL 63.814845 21.055438 \nL 64.464795 19.59844 \nL 64.78977 19.321583 \nL 65.114745 19.346998 \nL 65.43972 19.674624 \nL 65.764694 20.303646 \nL 66.414644 22.458819 \nL 67.064594 25.790986 \nL 67.714544 30.266859 \nL 68.689468 39.024252 \nL 69.664393 50.055091 \nL 70.964292 67.864514 \nL 72.589168 94.090158 \nL 74.863992 135.226551 \nL 78.113741 193.783848 \nL 79.738615 218.956398 \nL 81.038515 235.636948 \nL 82.013439 245.682846 \nL 82.988364 253.361097 \nL 83.638314 257.077102 \nL 84.288263 259.625884 \nL 84.938213 260.981957 \nL 85.263188 261.208033 \nL 85.588163 261.131789 \nL 85.913138 260.753417 \nL 86.238113 260.073867 \nL 86.888063 257.818777 \nL 87.538014 254.38905 \nL 88.187964 249.818932 \nL 89.162889 240.928457 \nL 90.137813 229.777106 \nL 91.437713 211.831195 \nL 93.062587 185.481269 \nL 95.337411 144.270252 \nL 98.58716 85.819101 \nL 100.212034 60.787076 \nL 101.511934 44.253913 \nL 102.486859 34.335185 \nL 103.461783 26.795219 \nL 104.111733 23.176041 \nL 104.761683 20.726682 \nL 105.086658 19.948802 \nL 105.411633 19.471631 \nL 105.736607 19.29636 \nL 106.061582 19.423422 \nL 106.386557 19.852503 \nL 106.711532 20.582534 \nL 107.361482 22.937384 \nL 108.011432 26.464432 \nL 108.661381 31.128457 \nL 109.636306 40.151377 \nL 110.611231 51.422435 \nL 111.91113 69.503542 \nL 113.536005 95.975877 \nL 116.135804 143.306014 \nL 119.060577 195.599481 \nL 120.685456 220.489207 \nL 121.985355 236.873812 \nL 122.96028 246.664656 \nL 123.935205 254.065797 \nL 124.585154 257.58787 \nL 125.235104 259.937613 \nL 125.560079 260.665061 \nL 125.885054 261.091546 \nL 126.210029 261.216 \nL 126.535004 261.038122 \nL 126.859978 260.558356 \nL 127.184953 259.777892 \nL 127.834903 257.323438 \nL 128.484853 253.699298 \nL 129.134803 248.941664 \nL 130.109727 239.786907 \nL 131.084652 228.396911 \nL 132.384551 210.181857 \nL 134.009426 183.588962 \nL 136.609225 136.190245 \nL 139.209024 89.433454 \nL 140.833898 63.856865 \nL 142.133798 46.748568 \nL 143.108722 36.331802 \nL 144.083647 28.24896 \nL 144.733597 24.248948 \nL 145.383547 21.408035 \nL 146.033496 19.754617 \nL 146.358471 19.378841 \nL 146.683446 19.305205 \nL 147.008421 19.533876 \nL 147.333396 20.064291 \nL 147.983346 22.024283 \nL 148.633295 25.165617 \nL 149.283245 29.456895 \nL 150.25817 37.953124 \nL 151.233094 48.746862 \nL 152.532994 66.286667 \nL 154.157868 92.264765 \nL 156.432692 133.247363 \nL 159.682441 191.99965 \nL 161.307316 217.440988 \nL 162.607215 234.405413 \nL 163.58214 244.69713 \nL 164.557064 252.643334 \nL 165.207014 256.547312 \nL 165.856964 259.289354 \nL 166.506914 260.842062 \nL 166.831889 261.167093 \nL 167.156863 261.189912 \nL 167.481838 260.91046 \nL 167.806813 260.329431 \nL 168.456763 258.269235 \nL 169.106713 255.029883 \nL 169.756663 250.643748 \nL 170.731587 242.013236 \nL 171.706512 231.097484 \nL 173.006411 213.418757 \nL 174.631286 187.312784 \nL 176.90611 146.249906 \nL 180.155859 87.595686 \nL 181.780733 62.291401 \nL 183.080633 45.47205 \nL 184.055557 35.306108 \nL 185.03049 27.497107 \nL 185.680455 23.689465 \nL 186.33042 21.046546 \nL 186.980385 19.594763 \nL 187.305368 19.320549 \nL 187.630351 19.34862 \nL 187.955333 19.678902 \nL 188.280316 20.310567 \nL 188.930281 22.470992 \nL 189.580246 25.808325 \nL 190.230212 30.289209 \nL 191.20516 39.053729 \nL 192.180107 50.09108 \nL 193.480038 67.907959 \nL 195.104951 94.140489 \nL 197.379829 135.281117 \nL 200.629656 193.832442 \nL 202.254569 218.996875 \nL 203.554499 235.668797 \nL 204.529447 245.707167 \nL 205.504395 253.377175 \nL 206.15436 257.087376 \nL 206.804326 259.630162 \nL 207.454291 260.980118 \nL 207.779274 261.203106 \nL 208.104256 261.123762 \nL 208.429239 260.74229 \nL 208.754221 260.059652 \nL 209.404187 257.798421 \nL 210.054152 254.362674 \nL 210.704117 249.786728 \nL 211.679065 240.88798 \nL 212.654013 229.729095 \nL 213.953943 211.774604 \nL 215.578857 185.41681 \nL 217.853735 144.201075 \nL 221.103561 85.757102 \nL 222.728474 60.734565 \nL 224.028405 44.211417 \nL 225.003353 34.301383 \nL 225.978301 26.770909 \nL 226.628266 23.158425 \nL 227.278231 20.715964 \nL 227.603214 19.941592 \nL 227.928196 19.467942 \nL 228.253179 19.296216 \nL 228.578162 19.426834 \nL 228.903144 19.85946 \nL 229.228127 20.593024 \nL 229.878092 22.954892 \nL 230.528057 26.488813 \nL 231.178023 31.159484 \nL 232.152971 40.191824 \nL 233.127918 51.471438 \nL 234.427849 69.562254 \nL 236.052762 96.04343 \nL 238.652623 143.378723 \nL 241.252484 190.220604 \nL 242.877397 215.92061 \nL 244.177328 233.160727 \nL 245.152276 243.692273 \nL 246.127224 251.900698 \nL 246.777189 255.989043 \nL 247.427154 258.920944 \nL 248.077119 260.667104 \nL 248.402102 261.089612 \nL 248.727085 261.210076 \nL 249.052067 261.028196 \nL 249.37705 260.544429 \nL 249.702032 259.759987 \nL 250.351998 257.297663 \nL 251.001963 253.66582 \nL 251.651928 248.900737 \nL 252.626876 239.735453 \nL 253.601824 228.335922 \nL 254.901754 210.110071 \nL 256.526668 183.507419 \nL 259.126529 136.103205 \nL 261.72639 89.354272 \nL 263.351303 63.789062 \nL 264.651233 46.69298 \nL 265.626181 36.286909 \nL 266.601129 28.215831 \nL 267.251094 24.224122 \nL 267.90106 21.391789 \nL 268.551025 19.747131 \nL 268.876007 19.375789 \nL 269.20099 19.306598 \nL 269.525973 19.539716 \nL 269.850955 20.074577 \nL 270.500921 22.043389 \nL 271.150886 25.193375 \nL 271.800851 29.493064 \nL 272.775799 38.00125 \nL 273.750747 48.805916 \nL 275.050677 66.358243 \nL 276.675591 92.347969 \nL 278.950469 133.338003 \nL 282.200295 192.081367 \nL 283.825208 217.509962 \nL 285.125139 234.460767 \nL 286.100087 244.740594 \nL 287.075035 252.673784 \nL 287.725 256.568581 \nL 288.374965 259.301142 \nL 289.02493 260.844165 \nL 289.349913 261.164306 \nL 289.674896 261.182234 \nL 289.999878 260.897878 \nL 290.324861 260.311972 \nL 290.974826 258.242066 \nL 291.624791 254.993209 \nL 292.274757 250.597846 \nL 293.249704 241.954223 \nL 294.224652 231.026539 \nL 295.524583 213.334174 \nL 297.149496 187.215596 \nL 299.424374 146.144846 \nL 302.674201 87.500835 \nL 304.299114 62.210693 \nL 305.599044 45.406374 \nL 306.573992 35.2535 \nL 307.54894 27.458823 \nL 308.198905 23.661226 \nL 308.848871 21.02863 \nL 309.498836 19.587349 \nL 309.823818 19.318411 \nL 310.148801 19.351768 \nL 310.473784 19.687325 \nL 310.798766 20.324254 \nL 311.448732 22.495097 \nL 312.098697 25.842596 \nL 312.748662 30.333309 \nL 313.72361 39.111708 \nL 314.698542 50.16164 \nL 315.998473 67.992747 \nL 317.623386 94.238254 \nL 319.898264 135.386751 \nL 323.148091 193.927216 \nL 324.773004 219.077115 \nL 326.072934 235.733782 \nL 327.047882 245.758982 \nL 328.02283 253.414654 \nL 328.672795 257.114797 \nL 329.322761 259.647262 \nL 329.972726 260.986727 \nL 330.297709 261.20444 \nL 330.622691 261.119821 \nL 330.947674 260.733086 \nL 331.272656 260.045196 \nL 331.922622 257.773596 \nL 332.572587 254.32773 \nL 333.222552 249.742015 \nL 334.1975 240.82949 \nL 335.172448 229.658132 \nL 336.472378 211.68954 \nL 338.097292 185.318951 \nL 340.697153 138.048375 \nL 343.621996 85.66296 \nL 345.246909 60.65513 \nL 346.54684 44.147364 \nL 347.521788 34.250589 \nL 348.496736 26.734512 \nL 349.146701 23.132097 \nL 349.796666 20.699982 \nL 350.121649 19.930837 \nL 350.446631 19.462451 \nL 350.771614 19.296 \nL 351.096597 19.431893 \nL 351.421579 19.869794 \nL 351.746562 20.608597 \nL 352.396527 22.980811 \nL 353.046492 26.524826 \nL 353.696458 31.205242 \nL 354.671406 40.251305 \nL 355.646353 51.543302 \nL 356.946284 69.648087 \nL 358.571197 96.141862 \nL 361.171058 143.48441 \nL 363.770919 190.316876 \nL 365.395832 216.003084 \nL 366.695763 233.228433 \nL 367.670711 243.747091 \nL 368.645659 251.941421 \nL 369.295624 256.019829 \nL 369.945589 258.941504 \nL 370.595554 260.677222 \nL 370.920537 261.094466 \nL 371.24552 261.209667 \nL 371.570502 261.022512 \nL 371.895485 260.533494 \nL 372.220467 259.743813 \nL 372.870433 257.271155 \nL 373.520398 253.629242 \nL 374.170363 248.854473 \nL 375.145311 239.675551 \nL 376.120259 228.263715 \nL 377.420189 210.02404 \nL 379.045103 183.408987 \nL 379.370085 177.707389 \nL 379.370085 177.707389 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482813 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p29b99ca597\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,1], result_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"a\": 1.,\"w\": 1.}\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(8.3987e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3543, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.1630, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(2.3275e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.4782, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.2951, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(1.0188e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.1041, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.0689, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(7.2948e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.6632, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.5962, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(1.2538e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2057, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-0.1034, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.5399, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.4166, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2034, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.9078, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0264, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.7868, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(5.2064e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.9432, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.9164, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.4973, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(2.4500, requires_grad=True)}\n",
+      "Epoch: 10\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-1.0098, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(3.8831, requires_grad=True)}\n",
+      "Epoch: 11\t Loss: tensor(6.8418e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.1901, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(3.9137, requires_grad=True)}\n",
+      "Epoch: 12\t Loss: tensor(1.3432e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.5793, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(4.9323, requires_grad=True)}\n",
+      "Epoch: 13\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0834, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(6.4530, requires_grad=True)}\n",
+      "Epoch: 14\t Loss: tensor(9.9072e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.3140, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(7.4185, requires_grad=True)}\n",
+      "Epoch: 15\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-1.0568, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(9.2521, requires_grad=True)}\n",
+      "Epoch: 16\t Loss: tensor(2.0031e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.5873, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(11.7514, requires_grad=True)}\n",
+      "Epoch: 17\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.8779, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(13.4293, requires_grad=True)}\n",
+      "Epoch: 18\t Loss: tensor(2.1594e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2352, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(14.7111, requires_grad=True)}\n",
+      "Epoch: 19\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.7150, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(15.9932, requires_grad=True)}\n",
+      "Epoch: 20\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3120, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.3041, requires_grad=True)}\n",
+      "Epoch: 21\t Loss: tensor(5.4723e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0961, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.3183, requires_grad=True)}\n",
+      "Epoch: 22\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.2363, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.3415, requires_grad=True)}\n",
+      "Epoch: 23\t Loss: tensor(1.0712e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0687, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.3532, requires_grad=True)}\n",
+      "Epoch: 24\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0879, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.3388, requires_grad=True)}\n",
+      "Epoch: 25\t Loss: tensor(5.2423e-07, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1394, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.2626, requires_grad=True)}\n",
+      "Epoch: 26\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0586, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.1828, requires_grad=True)}\n",
+      "Epoch: 27\t Loss: tensor(4.1406e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.6978, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.0935, requires_grad=True)}\n",
+      "Epoch: 28\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.7489, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.0834, requires_grad=True)}\n",
+      "Epoch: 29\t Loss: tensor(3.0066e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.4087, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.6350, requires_grad=True)}\n",
+      "Epoch: 30\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1648, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.9664, requires_grad=True)}\n",
+      "Epoch: 31\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0102, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.9946, requires_grad=True)}\n",
+      "Epoch: 32\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2098, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.9787, requires_grad=True)}\n",
+      "Epoch: 33\t Loss: tensor(2.4440e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0487, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.9032, requires_grad=True)}\n",
+      "Epoch: 34\t Loss: tensor(6.2938e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.1638, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.8623, requires_grad=True)}\n",
+      "Epoch: 35\t Loss: tensor(4.2312e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.1970, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.8510, requires_grad=True)}\n",
+      "Epoch: 36\t Loss: tensor(7.0362e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0970, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.9308, requires_grad=True)}\n",
+      "Epoch: 37\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2049, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.9662, requires_grad=True)}\n",
+      "Epoch: 38\t Loss: tensor(2.3143e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0827, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.9852, requires_grad=True)}\n",
+      "Epoch: 39\t Loss: tensor(2.8483e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0962, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(17.0106, requires_grad=True)}\n",
+      "Epoch: 40\t Loss: tensor(2.8690e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.2079, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.9282, requires_grad=True)}\n",
+      "Epoch: 41\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.1045, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.7936, requires_grad=True)}\n",
+      "Epoch: 42\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0194, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.8154, requires_grad=True)}\n",
+      "Epoch: 43\t Loss: tensor(1.2894e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.1881, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.8178, requires_grad=True)}\n",
+      "Epoch: 44\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.2745, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.7236, requires_grad=True)}\n",
+      "Epoch: 45\t Loss: tensor(9.2718e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.4498, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.8518, requires_grad=True)}\n",
+      "Epoch: 46\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.7078, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.9996, requires_grad=True)}\n",
+      "Epoch: 47\t Loss: tensor(7.5422e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.5365, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.7109, requires_grad=True)}\n",
+      "Epoch: 48\t Loss: tensor(9.9845e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.3399, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.5500, requires_grad=True)}\n",
+      "Epoch: 49\t Loss: tensor(4.7986e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.7897, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(16.7366, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.5},\n",
+    "    max_epochs=50,\n",
+    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'a': Parameter containing:\n",
+       " tensor(-0.7897, requires_grad=True),\n",
+       " 'w': Parameter containing:\n",
+       " tensor(16.7366, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 9
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt=1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000e+00,  0.0000e+00],\n",
+       "        [-7.8974e-03,  1.0000e-02],\n",
+       "        [-1.5684e-02,  2.0000e-02],\n",
+       "        ...,\n",
+       "        [ 9.0370e-03,  9.9701e+00],\n",
+       "        [ 1.6422e-02,  9.9801e+00],\n",
+       "        [ 2.3238e-02,  9.9901e+00]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 10
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T01:37:53.976711</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m7bb7ab7b42\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m7bb7ab7b42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m7bb7ab7b42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m7bb7ab7b42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m7bb7ab7b42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m7bb7ab7b42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m7bb7ab7b42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mde0987c08f\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mde0987c08f\" y=\"232.565172\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 236.364391)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mde0987c08f\" y=\"181.355485\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 185.154704)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mde0987c08f\" y=\"130.145798\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 133.945017)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mde0987c08f\" y=\"78.936111\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 82.735329)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mde0987c08f\" y=\"27.726424\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 31.525642)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pbfba49762f)\" d=\"M 61.07804 130.145798 \nL 62.377941 207.129827 \nL 63.027891 236.530849 \nL 63.677841 255.24505 \nL 64.002816 259.891735 \nL 64.327791 261.195072 \nL 64.652766 259.118636 \nL 64.977741 253.720447 \nL 65.627692 233.650885 \nL 66.277643 203.214181 \nL 67.577544 125.529456 \nL 68.55247 69.565748 \nL 69.20242 41.243721 \nL 69.85237 23.912476 \nL 70.177345 20.024144 \nL 70.50232 19.495852 \nL 70.827295 22.342355 \nL 71.15227 28.484101 \nL 71.80222 49.879493 \nL 72.452169 81.307075 \nL 75.376943 241.861829 \nL 76.026893 257.784736 \nL 76.351868 260.90905 \nL 76.676843 260.661601 \nL 77.001818 257.049295 \nL 77.326792 250.17309 \nL 77.976743 227.483451 \nL 78.626693 195.111314 \nL 81.226492 47.939075 \nL 81.876442 27.3859 \nL 82.201417 21.717484 \nL 82.526391 19.361787 \nL 82.851366 20.384634 \nL 83.176341 24.757438 \nL 83.501316 32.357992 \nL 84.151266 56.308502 \nL 85.126191 108.582263 \nL 87.07604 221.752444 \nL 87.72599 246.594341 \nL 88.050964 254.712656 \nL 88.375939 259.632372 \nL 88.700914 261.216 \nL 89.025889 259.419271 \nL 89.350864 254.292407 \nL 89.675839 245.978695 \nL 90.325789 220.802605 \nL 91.300713 167.429925 \nL 92.925588 70.936952 \nL 93.575537 42.219142 \nL 94.225489 24.383871 \nL 94.550464 20.220114 \nL 94.875439 19.410911 \nL 95.200414 21.978879 \nL 95.525389 27.852249 \nL 96.175338 48.770932 \nL 96.825288 79.844849 \nL 98.450163 177.604493 \nL 99.425087 228.364937 \nL 100.075037 250.701068 \nL 100.400012 257.37579 \nL 100.724987 260.777494 \nL 101.049962 260.81107 \nL 101.374936 257.475621 \nL 101.699911 250.864368 \nL 102.349861 228.639828 \nL 102.999811 196.604454 \nL 105.59961 49.034339 \nL 106.24956 28.001336 \nL 106.574534 22.063695 \nL 106.899509 19.429091 \nL 107.224484 20.171143 \nL 107.549459 24.269122 \nL 107.874434 31.6085 \nL 108.524384 55.106173 \nL 109.174334 88.055898 \nL 111.774133 234.458772 \nL 112.424082 254.157694 \nL 112.749057 259.349545 \nL 113.074032 261.213215 \nL 113.399007 259.696624 \nL 113.723982 254.842152 \nL 114.048957 246.785427 \nL 114.698906 222.049131 \nL 115.673831 169.065576 \nL 117.298706 72.321444 \nL 117.948655 43.213421 \nL 118.598605 24.877529 \nL 118.92358 20.439109 \nL 119.248555 19.349158 \nL 119.57353 21.638095 \nL 119.898505 27.241963 \nL 120.548454 47.679789 \nL 121.198404 78.393965 \nL 122.498304 156.251655 \nL 123.473228 211.980746 \nL 124.123178 239.998207 \nL 124.773128 256.943999 \nL 125.098103 260.622426 \nL 125.423077 260.937093 \nL 125.748052 257.879216 \nL 126.073027 251.534241 \nL 126.722981 229.779122 \nL 127.372931 198.086654 \nL 129.97273 50.147187 \nL 130.622679 28.638445 \nL 130.947654 22.432751 \nL 131.272629 19.519774 \nL 131.597604 19.980925 \nL 131.922579 23.803317 \nL 132.247554 30.880137 \nL 132.897504 53.920527 \nL 133.547453 86.544539 \nL 136.147252 233.395214 \nL 136.797202 253.580841 \nL 137.122177 259.043787 \nL 137.447152 261.187098 \nL 137.772127 259.950874 \nL 138.097102 255.369662 \nL 138.422077 247.571499 \nL 139.072026 223.279813 \nL 140.046951 170.695623 \nL 141.9968 57.820896 \nL 142.64675 33.315776 \nL 142.971725 25.393641 \nL 143.2967 20.681484 \nL 143.621675 19.310995 \nL 143.946649 21.320471 \nL 144.271624 26.653749 \nL 144.596599 35.16179 \nL 145.246549 60.669021 \nL 146.221474 114.330687 \nL 147.846348 210.620196 \nL 148.496298 239.03758 \nL 149.146248 256.489955 \nL 149.471222 260.444389 \nL 149.796197 261.040052 \nL 150.121172 258.26029 \nL 150.446147 252.182786 \nL 151.096097 230.901294 \nL 151.746047 199.557894 \nL 154.67082 38.870778 \nL 155.32077 22.824576 \nL 155.645745 19.633684 \nL 155.97072 19.813733 \nL 156.295695 23.359774 \nL 156.62067 30.172625 \nL 157.27062 52.751215 \nL 157.920569 85.043215 \nL 160.520368 232.313467 \nL 161.170318 252.982087 \nL 161.495293 258.715107 \nL 161.820268 261.137679 \nL 162.145243 260.182107 \nL 162.470218 255.875091 \nL 162.795192 248.336986 \nL 163.445142 224.494595 \nL 164.420067 172.319923 \nL 166.369916 59.05919 \nL 167.019866 34.111749 \nL 167.344841 25.931786 \nL 167.669816 20.94677 \nL 167.994791 19.296 \nL 168.319765 21.025615 \nL 168.64474 26.087274 \nL 168.969715 34.339529 \nL 169.619665 59.410629 \nL 170.59459 112.690944 \nL 172.219464 209.245796 \nL 172.869414 238.057618 \nL 173.519363 256.013199 \nL 173.844338 260.242877 \nL 174.169313 261.119413 \nL 174.494288 258.618301 \nL 174.819263 252.809449 \nL 175.469213 232.005743 \nL 176.119163 201.017573 \nL 177.419062 122.99565 \nL 178.393987 67.50742 \nL 179.043936 39.797629 \nL 179.693886 23.23915 \nL 180.018861 19.771039 \nL 180.343836 19.670035 \nL 180.668811 22.938953 \nL 180.993786 29.48645 \nL 181.643735 51.598759 \nL 182.293685 83.552507 \nL 184.893484 231.213786 \nL 185.543434 252.361271 \nL 185.868409 258.363335 \nL 186.193384 261.064785 \nL 186.518359 260.390124 \nL 186.843334 256.358199 \nL 187.168308 249.081699 \nL 187.818258 225.693343 \nL 188.468208 192.821228 \nL 191.068007 46.308556 \nL 191.717972 26.492634 \nL 192.042955 21.235864 \nL 192.367937 19.305291 \nL 192.69292 20.755026 \nL 193.017903 25.544388 \nL 193.342885 33.539684 \nL 193.992851 58.170775 \nL 194.967799 111.06064 \nL 196.592712 207.861114 \nL 197.242677 237.059895 \nL 197.892642 255.512483 \nL 198.217625 260.015011 \nL 198.542607 261.170482 \nL 198.86759 258.946751 \nL 199.192573 253.405809 \nL 199.842538 233.08027 \nL 200.492503 202.450315 \nL 201.792434 124.644326 \nL 202.767382 68.843642 \nL 203.417347 40.733981 \nL 204.067312 23.67199 \nL 204.392295 19.930504 \nL 204.717277 19.55169 \nL 205.04226 22.546298 \nL 205.367243 28.830627 \nL 206.017208 50.478594 \nL 206.667173 82.092484 \nL 209.592017 242.344375 \nL 210.241982 257.99054 \nL 210.566965 260.965604 \nL 210.891947 260.567045 \nL 211.21693 256.805996 \nL 211.541912 249.787714 \nL 212.191878 226.8493 \nL 212.841843 194.298153 \nL 215.441704 47.353428 \nL 216.091669 27.062037 \nL 216.416652 21.540096 \nL 216.741635 19.335995 \nL 217.066617 20.511182 \nL 217.3916 25.032969 \nL 217.716582 32.774969 \nL 218.366548 56.969924 \nL 219.341496 109.466687 \nL 221.291391 222.425713 \nL 221.941357 247.025503 \nL 222.266339 255.002647 \nL 222.591322 259.772818 \nL 222.916304 261.202846 \nL 223.241287 259.252614 \nL 223.56627 253.976624 \nL 223.891252 245.522476 \nL 224.541218 220.10672 \nL 225.516165 166.524325 \nL 227.141079 70.178008 \nL 227.791044 41.678154 \nL 228.441009 24.121151 \nL 228.765992 20.109648 \nL 229.090974 19.455961 \nL 229.415957 22.178358 \nL 229.74094 28.200606 \nL 230.390905 49.384223 \nL 231.04087 80.655239 \nL 233.965714 241.452521 \nL 234.615679 257.602407 \nL 234.940662 260.849167 \nL 235.265644 260.725547 \nL 235.590627 257.235163 \nL 235.91561 250.475405 \nL 236.565575 227.989824 \nL 237.21554 195.764881 \nL 239.815401 48.415469 \nL 240.465366 27.65234 \nL 240.790349 21.8664 \nL 241.115332 19.389182 \nL 241.440314 20.289764 \nL 241.765297 24.543136 \nL 242.090279 32.030276 \nL 242.740245 55.784621 \nL 243.715193 107.878643 \nL 245.665088 221.210979 \nL 246.315054 246.242684 \nL 246.640036 254.47176 \nL 246.965019 259.508686 \nL 247.290001 261.212852 \nL 247.614984 259.536481 \nL 247.939967 254.526569 \nL 248.264949 246.322979 \nL 248.914915 221.33498 \nL 249.889863 168.127719 \nL 251.514776 71.525309 \nL 252.164741 42.640527 \nL 252.814706 24.591735 \nL 253.139689 20.311102 \nL 253.464671 19.382658 \nL 253.789654 21.832195 \nL 254.114637 27.591408 \nL 254.764602 48.306739 \nL 255.414567 79.229079 \nL 256.714498 157.212244 \nL 257.689446 212.758567 \nL 258.339411 240.541904 \nL 258.989376 257.192507 \nL 259.314359 260.710362 \nL 259.639341 260.861862 \nL 259.964324 257.642631 \nL 260.289307 251.142788 \nL 260.939272 229.114171 \nL 261.589237 197.221384 \nL 264.189098 49.494526 \nL 264.839063 28.263522 \nL 265.164046 22.214652 \nL 265.489029 19.464622 \nL 265.814011 20.090437 \nL 266.138994 24.07445 \nL 266.463977 31.30547 \nL 267.113942 54.6148 \nL 267.763907 87.430904 \nL 270.363768 234.020809 \nL 271.013733 253.919488 \nL 271.338716 259.222396 \nL 271.663699 261.200385 \nL 271.988681 259.798333 \nL 272.313664 255.055272 \nL 272.638646 247.1039 \nL 273.288612 222.548264 \nL 274.26356 169.725929 \nL 275.888473 72.885353 \nL 276.538438 43.621004 \nL 277.188403 25.083914 \nL 277.513386 20.534952 \nL 277.838368 19.33177 \nL 278.163351 21.508142 \nL 278.488334 27.003099 \nL 279.138299 47.246319 \nL 279.788264 77.814364 \nL 281.088195 155.58187 \nL 282.063143 211.43515 \nL 282.713108 239.612869 \nL 283.363073 256.760964 \nL 283.688056 260.549408 \nL 284.013038 260.975848 \nL 284.338021 258.028523 \nL 284.663004 251.789645 \nL 285.312969 230.222092 \nL 285.962934 198.667261 \nL 288.887778 38.318496 \nL 289.537743 22.584719 \nL 289.862726 19.562536 \nL 290.187708 19.913306 \nL 290.512691 23.627378 \nL 290.837674 30.60081 \nL 291.487639 53.460836 \nL 292.137604 85.955806 \nL 294.737465 232.972819 \nL 295.38743 253.346336 \nL 295.712413 258.914091 \nL 296.037396 261.165694 \nL 296.362378 260.038066 \nL 296.687361 255.562884 \nL 297.012343 247.865057 \nL 297.662309 223.746363 \nL 298.637257 171.318752 \nL 300.587152 58.29336 \nL 301.237118 33.618291 \nL 301.5621 25.597384 \nL 301.887083 20.78078 \nL 302.212066 19.30323 \nL 302.537048 21.205884 \nL 302.862031 26.435717 \nL 303.187013 34.846427 \nL 303.836979 60.188297 \nL 304.811927 113.706273 \nL 306.43684 210.098394 \nL 307.086805 238.665414 \nL 307.73677 256.307979 \nL 308.061753 260.366173 \nL 308.386735 261.067628 \nL 308.711718 258.392599 \nL 309.036701 252.415994 \nL 309.686666 231.313359 \nL 310.336631 200.102416 \nL 311.961544 102.289199 \nL 312.936492 51.70292 \nL 313.586457 29.548031 \nL 313.91144 22.976563 \nL 314.236423 19.682788 \nL 314.561405 19.758457 \nL 314.886388 23.201759 \nL 315.211371 29.916448 \nL 315.861336 52.323173 \nL 316.511301 84.490813 \nL 319.111162 231.907697 \nL 319.761127 252.752266 \nL 320.08611 258.583838 \nL 320.411093 261.108634 \nL 320.736075 260.255802 \nL 321.061042 256.049169 \nL 321.386025 248.606603 \nL 322.03599 224.9294 \nL 323.010938 172.906491 \nL 324.960834 59.511294 \nL 325.610799 34.404869 \nL 325.935782 26.132019 \nL 326.260764 21.04866 \nL 326.585747 19.296868 \nL 326.91073 20.925298 \nL 327.235712 25.888748 \nL 327.560695 34.048489 \nL 328.21066 58.961683 \nL 329.185608 112.102533 \nL 330.810521 208.747703 \nL 331.460486 237.698959 \nL 332.110452 255.833007 \nL 332.435434 260.16034 \nL 332.760417 261.13684 \nL 333.0854 258.734909 \nL 333.410382 253.021682 \nL 334.060347 232.388125 \nL 334.710313 201.527156 \nL 336.010243 123.580468 \nL 336.985191 67.980031 \nL 337.635156 40.127549 \nL 338.285122 23.39025 \nL 338.610104 19.825036 \nL 338.935087 19.625585 \nL 339.26007 22.797467 \nL 339.585052 29.252031 \nL 340.235017 51.200686 \nL 340.884983 83.03505 \nL 343.484844 230.824833 \nL 344.134809 252.136743 \nL 344.459792 258.231493 \nL 344.784774 261.029025 \nL 345.109757 260.451142 \nL 345.434739 256.514002 \nL 345.759722 249.327631 \nL 346.409687 226.096327 \nL 347.059653 193.335613 \nL 349.659514 46.669523 \nL 350.309479 26.687783 \nL 350.634461 21.338613 \nL 350.959444 19.312902 \nL 351.284427 20.667271 \nL 351.609409 25.363861 \nL 351.934392 33.271126 \nL 352.584357 57.751017 \nL 353.559305 110.505252 \nL 355.184218 207.385493 \nL 355.834184 236.715258 \nL 356.484149 255.337288 \nL 356.809131 259.93296 \nL 357.134114 261.183855 \nL 357.459097 259.055004 \nL 357.784079 253.606214 \nL 358.434045 233.445549 \nL 359.08401 202.939848 \nL 360.38394 125.211402 \nL 361.358888 69.305746 \nL 362.008853 41.059761 \nL 362.658819 23.825227 \nL 362.983801 19.989843 \nL 363.308784 19.515616 \nL 363.633767 22.415496 \nL 363.958749 28.608741 \nL 364.608714 50.09576 \nL 365.25868 81.590947 \nL 368.183523 242.036032 \nL 368.833489 257.857611 \nL 369.158471 260.927354 \nL 369.483454 260.624524 \nL 369.808436 256.957592 \nL 370.133419 250.029048 \nL 370.783384 227.247658 \nL 371.43335 194.809314 \nL 374.033211 47.7207 \nL 374.683176 27.264922 \nL 375.008159 21.650934 \nL 375.333141 19.351686 \nL 375.658124 20.431431 \nL 375.983106 24.859987 \nL 376.308089 32.513594 \nL 376.958054 56.555656 \nL 377.933002 108.913477 \nL 379.882898 222.004748 \nL 380.532863 246.75518 \nL 380.857846 254.820223 \nL 381.182828 259.683384 \nL 381.507811 261.208751 \nL 381.832794 259.353684 \nL 382.157776 254.170037 \nL 382.482759 245.802957 \nL 383.132724 220.535468 \nL 384.107672 167.082461 \nL 385.732585 70.644992 \nL 385.732585 70.644992 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pbfba49762f\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Runge-Kutta for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"a\": 1.,\"w\": 1.}\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(9.1289e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0290, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(2.5714, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.4045, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(0.6908, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-1.3988, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-0.1943, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.5274, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-1.9835, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(1.6118, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.7478, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-1.0194, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-6.2300, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(8.5691e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-1.1716, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-5.5097, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.4992, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.9050, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3742, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.9329, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.6733, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.7082, requires_grad=True)}\n",
+      "Epoch: 10\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2293, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2861, requires_grad=True)}\n",
+      "Epoch: 11\t Loss: tensor(6.8433e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.6046, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.5379, requires_grad=True)}\n",
+      "Epoch: 12\t Loss: tensor(7.0519e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.8078, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.8330, requires_grad=True)}\n",
+      "Epoch: 13\t Loss: tensor(9.2921e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2277, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.6744, requires_grad=True)}\n",
+      "Epoch: 14\t Loss: tensor(1.1886e-09, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.9219, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.7873, requires_grad=True)}\n",
+      "Epoch: 15\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.2405, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.6873, requires_grad=True)}\n",
+      "Epoch: 16\t Loss: tensor(1.8628e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.5603, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.6175, requires_grad=True)}\n",
+      "Epoch: 17\t Loss: tensor(2.2946e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3432, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.9978, requires_grad=True)}\n",
+      "Epoch: 18\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.2817, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.7970, requires_grad=True)}\n",
+      "Epoch: 19\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.4366, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.4324, requires_grad=True)}\n",
+      "Epoch: 20\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.4259, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.3270, requires_grad=True)}\n",
+      "Epoch: 21\t Loss: tensor(8.0545e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3077, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2857, requires_grad=True)}\n",
+      "Epoch: 22\t Loss: tensor(1.1119e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3873, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.3110, requires_grad=True)}\n",
+      "Epoch: 23\t Loss: tensor(1.2416e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.6498, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2802, requires_grad=True)}\n",
+      "Epoch: 24\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.8757, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2127, requires_grad=True)}\n",
+      "Epoch: 25\t Loss: tensor(1.6099e-07, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.4610, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2095, requires_grad=True)}\n",
+      "Epoch: 26\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1481, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2386, requires_grad=True)}\n",
+      "Epoch: 27\t Loss: tensor(8.1894e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0622, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2254, requires_grad=True)}\n",
+      "Epoch: 28\t Loss: tensor(9.0573e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0506, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2273, requires_grad=True)}\n",
+      "Epoch: 29\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.1458, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2121, requires_grad=True)}\n",
+      "Epoch: 30\t Loss: tensor(9.7300e-08, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2710, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.1828, requires_grad=True)}\n",
+      "Epoch: 31\t Loss: tensor(4.0043e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3712, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2271, requires_grad=True)}\n",
+      "Epoch: 32\t Loss: tensor(6.6276e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2286, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.3179, requires_grad=True)}\n",
+      "Epoch: 33\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.5187, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.1811, requires_grad=True)}\n",
+      "Epoch: 34\t Loss: tensor(3.4604e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2911, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.0534, requires_grad=True)}\n",
+      "Epoch: 35\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0096, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.1589, requires_grad=True)}\n",
+      "Epoch: 36\t Loss: tensor(2.0865e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.1714, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2220, requires_grad=True)}\n",
+      "Epoch: 37\t Loss: tensor(4.2937e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0344, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2021, requires_grad=True)}\n",
+      "Epoch: 38\t Loss: tensor(3.8148e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.2675, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2227, requires_grad=True)}\n",
+      "Epoch: 39\t Loss: tensor(1.2807e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0064, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.3249, requires_grad=True)}\n",
+      "Epoch: 40\t Loss: tensor(4.7085e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.5191, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.4220, requires_grad=True)}\n",
+      "Epoch: 41\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2200, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2602, requires_grad=True)}\n",
+      "Epoch: 42\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.4233, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2988, requires_grad=True)}\n",
+      "Epoch: 43\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.8801, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.4593, requires_grad=True)}\n",
+      "Epoch: 44\t Loss: tensor(1.3130e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.7841, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.9353, requires_grad=True)}\n",
+      "Epoch: 45\t Loss: tensor(6.2324e-07, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.1745, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.9127, requires_grad=True)}\n",
+      "Epoch: 46\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2285, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.9252, requires_grad=True)}\n",
+      "Epoch: 47\t Loss: tensor(1.9436e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3970, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.8764, requires_grad=True)}\n",
+      "Epoch: 48\t Loss: tensor(5.2493e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0436, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.9042, requires_grad=True)}\n",
+      "Epoch: 49\t Loss: tensor(1.1490e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0989, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.9269, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.5},\n",
+    "    max_epochs=50,\n",
+    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'a': Parameter containing:\n",
+       " tensor(-0.0989, requires_grad=True),\n",
+       " 'w': Parameter containing:\n",
+       " tensor(-2.9269, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 14
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000e+00,  0.0000e+00],\n",
+       "        [-9.8864e-04,  1.0000e-02],\n",
+       "        [-1.9764e-03,  2.0000e-02],\n",
+       "        ...,\n",
+       "        [ 2.6607e-02,  9.9701e+00],\n",
+       "        [ 2.7204e-02,  9.9801e+00],\n",
+       "        [ 2.7779e-02,  9.9901e+00]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 15
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T01:42:24.408831</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mea6398f250\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#mea6398f250\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#mea6398f250\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#mea6398f250\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#mea6398f250\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#mea6398f250\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#mea6398f250\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m73c309b867\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m73c309b867\" y=\"247.675684\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.03 -->\n      <g transform=\"translate(7.2 251.474903)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m73c309b867\" y=\"211.869996\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 215.669215)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m73c309b867\" y=\"176.064309\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.01 -->\n      <g transform=\"translate(7.2 179.863527)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m73c309b867\" y=\"140.258621\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.05784)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m73c309b867\" y=\"104.452933\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.01 -->\n      <g transform=\"translate(15.579688 108.252152)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m73c309b867\" y=\"68.647246\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 72.446465)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m73c309b867\" y=\"32.841558\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.03 -->\n      <g transform=\"translate(15.579688 36.640777)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p571e89c7b3)\" d=\"M 61.07804 140.258621 \nL 65.302717 185.181317 \nL 67.577544 207.091527 \nL 69.527395 223.678449 \nL 71.15227 235.560118 \nL 72.452169 243.609311 \nL 73.752069 250.24356 \nL 74.726993 254.235293 \nL 75.701918 257.348843 \nL 76.676843 259.560219 \nL 77.326792 260.524564 \nL 77.976743 261.076918 \nL 78.626693 261.2154 \nL 79.276643 260.93953 \nL 79.926592 260.250254 \nL 80.576542 259.149922 \nL 81.226492 257.642307 \nL 82.201417 254.62893 \nL 83.176341 250.734342 \nL 84.151266 245.988548 \nL 85.451165 238.400839 \nL 86.751065 229.469494 \nL 88.375939 216.603704 \nL 90.325789 199.037112 \nL 92.600613 176.298788 \nL 96.175338 137.910234 \nL 100.075037 96.444711 \nL 102.349861 74.422353 \nL 104.29971 57.705893 \nL 105.924585 45.695699 \nL 107.224484 37.53216 \nL 108.524384 30.775029 \nL 109.499308 26.68655 \nL 110.474233 23.473121 \nL 111.449158 21.159517 \nL 112.099107 20.126105 \nL 112.749057 19.50423 \nL 113.399007 19.296 \nL 114.048957 19.502149 \nL 114.698906 20.12197 \nL 115.348856 21.153328 \nL 115.998806 22.592689 \nL 116.973731 25.505586 \nL 117.948655 29.302641 \nL 118.92358 33.954605 \nL 120.223479 41.4242 \nL 121.523379 50.246915 \nL 123.148253 62.992483 \nL 125.098103 80.441002 \nL 127.372931 103.082167 \nL 130.947654 141.414947 \nL 135.172328 186.252885 \nL 137.447152 208.052271 \nL 139.397001 224.511988 \nL 141.021876 236.267881 \nL 142.321775 244.205423 \nL 143.621675 250.71985 \nL 144.596599 254.617339 \nL 145.571524 257.633703 \nL 146.221474 259.143333 \nL 146.871423 260.245706 \nL 147.521373 260.937062 \nL 148.171323 261.215013 \nL 148.821273 261.078612 \nL 149.471222 260.528325 \nL 150.121172 259.566048 \nL 150.771122 258.195061 \nL 151.746047 255.382911 \nL 152.720971 251.683748 \nL 153.695896 247.126069 \nL 154.995795 239.775294 \nL 156.295695 231.062069 \nL 157.920569 218.43795 \nL 159.870419 201.109206 \nL 162.145243 178.56739 \nL 165.719966 140.294116 \nL 169.94464 95.368878 \nL 172.219464 73.45528 \nL 174.169313 56.864464 \nL 175.794188 44.978933 \nL 177.094087 36.926298 \nL 178.393987 30.288361 \nL 179.368911 26.29374 \nL 180.343836 23.177203 \nL 181.318761 20.962745 \nL 181.96871 19.996333 \nL 182.61866 19.441898 \nL 183.26861 19.301335 \nL 183.91856 19.575125 \nL 184.568509 20.262319 \nL 185.218459 21.360571 \nL 185.868409 22.866132 \nL 186.843334 25.876507 \nL 187.818258 29.768174 \nL 188.793183 34.51116 \nL 190.093082 42.095341 \nL 191.39299 51.023445 \nL 193.017903 63.885673 \nL 194.967799 81.448831 \nL 197.242677 104.184377 \nL 200.817486 142.571399 \nL 204.717277 184.039125 \nL 206.992156 206.06445 \nL 208.942051 222.784298 \nL 210.566965 234.797794 \nL 211.866895 242.964247 \nL 213.166826 249.724479 \nL 214.141774 253.815392 \nL 215.116721 257.031289 \nL 216.091669 259.347414 \nL 216.741635 260.382507 \nL 217.3916 261.00609 \nL 218.041565 261.216 \nL 218.69153 261.011532 \nL 219.341496 260.393378 \nL 219.991461 259.363661 \nL 220.641426 257.925913 \nL 221.616374 255.015378 \nL 222.591322 251.22059 \nL 223.56627 246.570794 \nL 224.8662 239.103893 \nL 226.166131 230.283625 \nL 227.791044 217.540738 \nL 229.74094 200.094814 \nL 232.015818 177.455747 \nL 235.590627 139.124173 \nL 239.815401 94.284468 \nL 242.090279 72.482872 \nL 244.040175 56.020674 \nL 245.665088 44.262406 \nL 246.965019 36.322784 \nL 248.264949 29.806156 \nL 249.239897 25.906972 \nL 250.214845 22.888874 \nL 250.86481 21.378071 \nL 251.514776 20.274524 \nL 252.164741 19.582008 \nL 252.814706 19.302883 \nL 253.464671 19.438123 \nL 254.114637 19.987263 \nL 254.764602 20.94842 \nL 255.414567 22.3183 \nL 256.389515 25.128848 \nL 257.364463 28.826465 \nL 258.339411 33.382677 \nL 259.639341 40.731637 \nL 260.939272 49.443215 \nL 262.564185 62.06554 \nL 264.514081 79.392577 \nL 266.788959 101.933002 \nL 270.038785 136.665587 \nL 274.588542 185.131731 \nL 276.863421 207.046636 \nL 278.813316 223.638906 \nL 280.438229 235.525831 \nL 281.73816 243.579673 \nL 283.038091 250.218857 \nL 284.013038 254.214445 \nL 284.987986 257.331943 \nL 285.962934 259.547361 \nL 286.612899 260.514413 \nL 287.262865 261.069488 \nL 287.91283 261.210678 \nL 288.562795 260.937515 \nL 289.21276 260.250921 \nL 289.862726 259.153257 \nL 290.512691 257.648269 \nL 291.487639 254.638734 \nL 292.462587 250.747854 \nL 293.437535 246.005595 \nL 294.737465 238.422308 \nL 296.037396 229.494997 \nL 297.662309 216.633636 \nL 299.612204 199.071332 \nL 301.887083 176.33648 \nL 305.461892 137.94985 \nL 309.361683 96.481542 \nL 311.636562 74.455406 \nL 313.586457 57.734638 \nL 315.211371 45.720202 \nL 316.511301 37.552928 \nL 317.811232 30.791809 \nL 318.78618 26.700209 \nL 319.761127 23.483578 \nL 320.736075 21.16672 \nL 321.386025 20.131107 \nL 322.03599 19.507018 \nL 322.685956 19.2966 \nL 323.335921 19.500562 \nL 323.985886 20.118208 \nL 324.635851 21.147419 \nL 325.285817 22.584673 \nL 326.260764 25.494461 \nL 327.235712 29.288536 \nL 328.21066 33.937638 \nL 329.510591 41.403665 \nL 330.810521 50.223126 \nL 332.435434 62.965126 \nL 334.38533 80.41017 \nL 336.660209 103.04851 \nL 340.235017 141.379653 \nL 344.459792 186.220012 \nL 346.73467 208.022459 \nL 348.684566 224.485624 \nL 350.309479 236.244852 \nL 351.609409 244.185321 \nL 352.90934 250.70285 \nL 353.884288 254.602747 \nL 354.859236 257.621578 \nL 355.509201 259.132888 \nL 356.159166 260.236942 \nL 356.809131 260.929979 \nL 357.459097 261.209611 \nL 358.109062 261.074877 \nL 358.759027 260.526245 \nL 359.408992 259.565594 \nL 360.058958 258.196221 \nL 361.033906 255.386433 \nL 362.008853 251.68953 \nL 362.983801 247.134012 \nL 364.283732 239.785939 \nL 365.583662 231.075168 \nL 367.208575 218.45373 \nL 369.158471 201.127593 \nL 371.43335 178.587909 \nL 374.683176 143.855772 \nL 379.232933 95.388999 \nL 381.507811 73.473254 \nL 383.457707 56.880017 \nL 385.08262 44.992144 \nL 385.732585 40.794435 \nL 385.732585 40.794435 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p571e89c7b3\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file

From 1661cc463f55e449bce58662eef21578cb179ed8 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Tue, 24 Aug 2021 11:27:28 -0400
Subject: [PATCH 37/73] Trained with Euler's method data

---
 ...nz63_Euler_Train_fitRandomSample_RK4.ipynb | 706 ++++++++++++++++++
 1 file changed, 706 insertions(+)
 create mode 100644 examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb

diff --git a/examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb b/examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb
new file mode 100644
index 00000000..7d0c88ef
--- /dev/null
+++ b/examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb
@@ -0,0 +1,706 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3\n",
+    "\n",
+    "import time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Lorenz 63 equations\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"sigma\"]*(prev_val[\"y\"]-prev_val[\"x\"])\n",
+    "\n",
+    "def y_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x\"]*(coeffs[\"rho\"]-prev_val[\"z\"])-prev_val[\"y\"]\n",
+    "\n",
+    "def z_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x\"]*prev_val[\"y\"]-coeffs[\"beta\"]*prev_val[\"z\"]\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
+    "\n",
+    "# Initial conditions [1,0,0]\n",
+    "ode_init = {\"x\":1, \"y\":0, \"z\":0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"sigma\": 10., \"rho\": 28., \"beta\": 2.7}\n"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method - Data Generation for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None,\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[1.0000e+00, 0.0000e+00, 0.0000e+00],\n",
+       "        [9.0000e-01, 2.8000e-01, 0.0000e+00],\n",
+       "        [8.3800e-01, 5.2920e-01, 2.5200e-03],\n",
+       "        ...,\n",
+       "        [2.8109e+00, 4.5452e+00, 1.5969e+01],\n",
+       "        [2.9843e+00, 4.8379e+00, 1.5666e+01],\n",
+       "        [3.1697e+00, 5.1576e+00, 1.5387e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 15
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "<ipython-input-16-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:23:00.690391</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mc85287cec6\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"59.423789\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −15 -->\n      <g transform=\"translate(48.871445 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"101.657081\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −10 -->\n      <g transform=\"translate(91.104738 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"143.890373\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −5 -->\n      <g transform=\"translate(136.51928 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"186.123665\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0 -->\n      <g transform=\"translate(182.942415 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"228.356958\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 5 -->\n      <g transform=\"translate(225.175708 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"270.59025\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(264.22775 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.823542\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 15 -->\n      <g transform=\"translate(306.461042 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"355.056834\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 20 -->\n      <g transform=\"translate(348.694334 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_9\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m36c296e3f9\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m36c296e3f9\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m36c296e3f9\" y=\"216.600695\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.399914)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m36c296e3f9\" y=\"171.98539\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.784609)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m36c296e3f9\" y=\"127.370085\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 131.169304)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m36c296e3f9\" y=\"82.75478\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 86.553999)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m36c296e3f9\" y=\"38.139475\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 41.938694)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pdd36bb62c1)\" d=\"M 194.570324 261.216 \nL 192.900088 261.15879 \nL 193.047582 261.125369 \nL 204.874061 259.523803 \nL 209.488325 258.558828 \nL 215.25359 257.059194 \nL 218.645279 256.022966 \nL 222.42325 254.733463 \nL 226.625873 253.130537 \nL 231.293556 251.140816 \nL 236.467953 248.675379 \nL 242.190748 245.627371 \nL 248.501821 241.869793 \nL 255.436585 237.253863 \nL 263.022254 231.608621 \nL 271.272676 224.742736 \nL 280.18151 216.449933 \nL 289.713299 206.51995 \nL 299.792392 194.757297 \nL 310.289752 181.010321 \nL 321.008256 165.212473 \nL 331.668044 147.435927 \nL 341.894696 127.953671 \nL 351.214362 107.299972 \nL 359.061927 86.310573 \nL 364.808332 66.116235 \nL 367.812273 48.061506 \nL 367.496503 33.532616 \nL 363.440693 23.708991 \nL 355.472152 19.296 \nL 343.728354 20.330541 \nL 328.666101 26.146321 \nL 311.006687 35.52848 \nL 291.628155 47.0029 \nL 271.435869 59.147936 \nL 251.247732 70.822606 \nL 231.719825 81.263729 \nL 213.319203 90.068913 \nL 196.334661 97.115842 \nL 180.909462 102.466295 \nL 167.081158 106.284646 \nL 154.818715 108.780829 \nL 144.052266 110.176095 \nL 134.694474 110.6854 \nL 126.65439 110.509998 \nL 119.84533 109.835316 \nL 114.188412 108.831019 \nL 109.613072 107.651337 \nL 106.055744 106.434944 \nL 103.457406 105.304108 \nL 101.760802 104.36331 \nL 100.907675 103.697682 \nL 100.836514 103.37171 \nL 101.480975 103.428588 \nL 102.769164 103.890529 \nL 104.62379 104.760202 \nL 106.96314 106.023126 \nL 109.702679 107.65086 \nL 112.757111 109.60472 \nL 119.478887 114.307432 \nL 126.512587 119.752998 \nL 129.983147 122.644099 \nL 133.352551 125.597516 \nL 136.579211 128.582572 \nL 139.630215 131.573951 \nL 142.480778 134.551305 \nL 145.113451 137.498672 \nL 147.517211 140.403771 \nL 149.686488 143.257369 \nL 151.620181 146.052616 \nL 153.320728 148.784483 \nL 154.793244 151.449303 \nL 156.044745 154.044368 \nL 157.083478 156.567611 \nL 157.918354 159.017365 \nL 158.558467 161.392148 \nL 159.012713 163.69054 \nL 159.289485 165.911026 \nL 159.39644 168.05192 \nL 159.340325 170.111266 \nL 159.126855 172.086758 \nL 158.760635 173.975654 \nL 158.245108 175.774723 \nL 157.582542 177.480108 \nL 156.774029 179.087283 \nL 155.819516 180.590903 \nL 154.717832 181.984732 \nL 153.466754 183.261484 \nL 152.063065 184.412692 \nL 150.502645 185.428554 \nL 148.780574 186.297759 \nL 146.891253 187.007323 \nL 144.828561 187.542404 \nL 142.586045 187.886119 \nL 140.157144 188.019398 \nL 137.535495 187.920839 \nL 134.715265 187.566606 \nL 131.691596 186.930447 \nL 128.461139 185.983786 \nL 125.022671 184.695971 \nL 121.377878 183.034794 \nL 117.532233 180.967245 \nL 113.496038 178.460655 \nL 109.285597 175.484295 \nL 104.924505 172.011515 \nL 100.445007 168.022451 \nL 95.889378 163.507369 \nL 91.311227 158.470558 \nL 86.776501 152.934653 \nL 82.364113 146.945045 \nL 78.165868 140.573939 \nL 74.285463 133.923383 \nL 70.836279 127.126461 \nL 67.937742 120.345758 \nL 65.710201 113.768326 \nL 64.268324 107.596688 \nL 63.713398 102.036096 \nL 64.12514 97.278905 \nL 65.553903 93.487921 \nL 68.014324 90.78109 \nL 71.481457 89.220258 \nL 75.89014 88.806024 \nL 81.138087 89.479923 \nL 87.092279 91.133357 \nL 93.598079 93.621677 \nL 100.489666 96.780679 \nL 107.600649 100.442656 \nL 114.773457 104.449888 \nL 121.866746 108.663956 \nL 128.760371 112.970883 \nL 135.357881 117.282421 \nL 141.586891 121.534477 \nL 147.39779 125.683872 \nL 152.761354 129.704303 \nL 157.66574 133.582281 \nL 162.113276 137.313433 \nL 166.117332 140.899486 \nL 169.699462 144.345887 \nL 172.886907 147.660064 \nL 175.710513 150.850229 \nL 178.203035 153.924603 \nL 180.397817 156.890946 \nL 182.327792 159.756321 \nL 184.024761 162.527001 \nL 185.518897 165.208457 \nL 188.009508 170.321949 \nL 190.000061 175.12711 \nL 192.405167 181.803441 \nL 195.182994 189.78487 \nL 196.605147 193.397925 \nL 198.154214 196.760926 \nL 199.901039 199.868326 \nL 201.915766 202.707232 \nL 203.046296 204.019372 \nL 204.271756 205.254916 \nL 205.602379 206.408898 \nL 207.048999 207.475214 \nL 208.623133 208.446417 \nL 210.337042 209.313491 \nL 212.203791 210.065578 \nL 214.237277 210.689662 \nL 216.452239 211.170221 \nL 218.86424 211.488807 \nL 221.489593 211.623605 \nL 224.345231 211.548919 \nL 227.448518 211.234656 \nL 230.816932 210.645773 \nL 234.467638 209.741754 \nL 238.416899 208.476145 \nL 242.679269 206.796255 \nL 247.266535 204.643081 \nL 252.186363 201.951669 \nL 257.440565 198.652074 \nL 263.022963 194.671188 \nL 268.916773 189.935752 \nL 275.091577 184.376909 \nL 281.499811 177.936628 \nL 288.073009 170.576321 \nL 294.718014 162.287683 \nL 301.313518 153.105442 \nL 307.70763 143.12118 \nL 313.717268 132.496418 \nL 319.130334 121.472254 \nL 323.711796 110.372056 \nL 327.214445 99.593269 \nL 329.394837 89.585001 \nL 330.033708 80.810604 \nL 328.959107 73.697811 \nL 326.069182 68.583995 \nL 321.350319 65.667621 \nL 314.886745 64.978097 \nL 306.858321 66.372989 \nL 297.526056 69.564159 \nL 287.207477 74.166354 \nL 276.246346 79.755726 \nL 264.98226 85.924216 \nL 242.736998 98.667108 \nL 190.230727 129.271151 \nL 178.574742 136.370465 \nL 169.346811 142.327685 \nL 162.044795 147.385183 \nL 153.655543 153.634116 \nL 147.133506 158.525692 \nL 143.29559 161.07712 \nL 141.438559 162.1365 \nL 139.59072 163.046654 \nL 137.731989 163.802307 \nL 135.845218 164.397134 \nL 133.916008 164.823878 \nL 131.932576 165.07448 \nL 129.885669 165.140243 \nL 127.768527 165.011977 \nL 125.576888 164.680243 \nL 123.309054 164.135631 \nL 120.965992 163.369061 \nL 118.551482 162.372244 \nL 116.072295 161.138151 \nL 113.538417 159.661617 \nL 110.963215 157.940038 \nL 108.363685 155.974111 \nL 105.760595 153.768688 \nL 103.178586 151.333639 \nL 100.646182 148.68469 \nL 98.195668 145.844223 \nL 95.862779 142.841849 \nL 93.686205 139.714783 \nL 91.706825 136.507846 \nL 89.966722 133.272979 \nL 88.507904 130.068288 \nL 87.37081 126.956429 \nL 86.592605 124.002501 \nL 86.205416 121.271426 \nL 86.234545 118.824982 \nL 86.696801 116.718773 \nL 87.599195 114.999373 \nL 88.937972 113.701865 \nL 90.698246 112.84819 \nL 92.854183 112.446311 \nL 95.36984 112.490425 \nL 98.200574 112.962067 \nL 101.294856 113.832064 \nL 104.596475 115.062957 \nL 108.046803 116.611721 \nL 111.58707 118.432507 \nL 115.160412 120.479028 \nL 118.713616 122.706637 \nL 122.198462 125.073787 \nL 125.572663 127.543062 \nL 128.800382 130.081648 \nL 131.852357 132.661464 \nL 134.705747 135.258963 \nL 137.343709 137.854735 \nL 139.754832 140.432993 \nL 141.932437 142.981042 \nL 143.873852 145.488687 \nL 145.579659 147.947751 \nL 147.052997 150.351603 \nL 148.298899 152.694756 \nL 149.323711 154.972554 \nL 150.134567 157.180871 \nL 150.738953 159.315894 \nL 151.144355 161.373929 \nL 151.357951 163.351259 \nL 151.386394 165.243976 \nL 151.23563 167.047887 \nL 150.910778 168.758412 \nL 150.41605 170.370446 \nL 149.754721 171.878279 \nL 148.929111 173.275494 \nL 147.940609 174.554858 \nL 146.789723 175.708203 \nL 145.476164 176.726319 \nL 143.99894 177.598861 \nL 142.356484 178.314211 \nL 140.546823 178.859393 \nL 138.567769 179.219992 \nL 136.417153 179.380084 \nL 134.093101 179.322219 \nL 131.59436 179.027443 \nL 128.920705 178.475436 \nL 126.073381 177.644694 \nL 123.055629 176.512913 \nL 119.873306 175.0575 \nL 116.535559 173.256321 \nL 113.055595 171.088698 \nL 109.451489 168.5367 \nL 105.747046 165.586789 \nL 101.97265 162.231749 \nL 98.166073 158.47294 \nL 94.373134 154.322822 \nL 90.648109 149.807519 \nL 87.053807 144.969281 \nL 83.661147 139.868545 \nL 80.548096 134.58514 \nL 77.797835 129.218314 \nL 75.496088 123.885042 \nL 73.727638 118.716415 \nL 72.572016 113.851874 \nL 72.098707 109.431531 \nL 72.362173 105.58714 \nL 73.397191 102.432512 \nL 75.215068 100.054818 \nL 77.801242 98.507722 \nL 81.114694 97.807765 \nL 85.089386 97.934287 \nL 89.637685 98.833132 \nL 94.655361 100.423356 \nL 100.027699 102.605803 \nL 105.635938 105.272384 \nL 111.363445 108.314514 \nL 117.101037 111.630129 \nL 122.751084 115.128465 \nL 128.230199 118.732754 \nL 133.470611 122.381073 \nL 138.42034 126.025707 \nL 143.042434 129.631621 \nL 147.313584 133.174437 \nL 151.222311 136.638282 \nL 154.767018 140.013789 \nL 157.954009 143.296309 \nL 160.795638 146.484483 \nL 163.308641 149.579102 \nL 165.512685 152.582249 \nL 167.429158 155.496717 \nL 169.080179 158.325604 \nL 170.487817 161.072022 \nL 171.673491 163.73896 \nL 172.657538 166.329184 \nL 173.458898 168.845211 \nL 174.094917 171.289289 \nL 174.581234 173.663408 \nL 174.931732 175.969314 \nL 175.272056 180.382322 \nL 175.192646 184.537844 \nL 174.744987 188.442092 \nL 173.957883 192.097707 \nL 172.839956 195.50313 \nL 171.381658 198.651414 \nL 170.517275 200.125072 \nL 169.556669 201.528474 \nL 168.494052 202.858318 \nL 167.322654 204.110477 \nL 166.034706 205.279858 \nL 164.621452 206.360231 \nL 163.073117 207.344024 \nL 161.378915 208.222101 \nL 159.52704 208.983485 \nL 157.504681 209.615057 \nL 155.298046 210.101191 \nL 152.892429 210.423368 \nL 150.272302 210.559719 \nL 147.421469 210.484548 \nL 144.323297 210.167813 \nL 140.961041 209.574611 \nL 137.318298 208.664673 \nL 133.379617 207.391951 \nL 129.131312 205.704342 \nL 124.562537 203.543697 \nL 119.66665 200.846222 \nL 114.442937 197.543512 \nL 108.89873 193.564443 \nL 103.051996 188.838235 \nL 96.934312 183.299045 \nL 90.594283 176.89236 \nL 84.101163 169.583495 \nL 77.548513 161.368211 \nL 71.057422 152.285082 \nL 64.778703 142.428746 \nL 58.893263 131.962205 \nL 53.609687 121.125663 \nL 49.158037 110.238318 \nL 45.779087 99.689599 \nL 43.70865 89.916726 \nL 43.157727 81.368074 \nL 44.290198 74.454986 \nL 47.201084 69.49957 \nL 51.899462 66.688869 \nL 58.299752 66.047051 \nL 66.224262 67.433569 \nL 75.417467 70.568779 \nL 85.569856 75.080568 \nL 96.347036 80.560096 \nL 107.418888 86.613501 \nL 129.28722 99.153114 \nL 166.678767 121.037664 \nL 180.990616 129.582418 \nL 192.493375 136.735854 \nL 201.607431 142.776725 \nL 208.824435 147.937352 \nL 214.622245 152.379897 \nL 223.589291 159.454295 \nL 227.404931 162.145886 \nL 229.255666 163.277352 \nL 231.100747 164.260681 \nL 232.960605 165.090359 \nL 234.852845 165.759732 \nL 236.792415 166.26114 \nL 238.79174 166.585998 \nL 240.860811 166.724918 \nL 243.007223 166.667869 \nL 245.236149 166.404384 \nL 247.550281 165.923765 \nL 249.9497 165.215443 \nL 252.431713 164.269344 \nL 254.99064 163.076396 \nL 257.617558 161.629118 \nL 260.300065 159.922337 \nL 263.022004 157.954002 \nL 265.763203 155.726062 \nL 268.49932 153.245495 \nL 271.201708 150.525252 \nL 273.837454 147.585263 \nL 276.369585 144.453245 \nL 278.757476 141.165312 \nL 280.957508 137.766234 \nL 282.924063 134.309213 \nL 284.610775 130.855077 \nL 285.972107 127.470823 \nL 286.965156 124.227464 \nL 287.551683 121.197238 \nL 287.700135 118.450343 \nL 287.387643 116.051426 \nL 286.601714 114.056107 \nL 285.341549 112.507921 \nL 283.618717 111.436023 \nL 281.457238 110.853875 \nL 278.892838 110.75906 \nL 275.971601 111.134338 \nL 272.747999 111.9496 \nL 269.282486 113.164649 \nL 265.638909 114.732338 \nL 261.881873 116.601748 \nL 258.074329 118.721138 \nL 254.275485 121.040421 \nL 250.539183 123.513007 \nL 246.912732 126.097026 \nL 243.436255 128.755957 \nL 240.142479 131.458789 \nL 237.056885 134.179798 \nL 234.198154 136.898049 \nL 231.578824 139.596822 \nL 229.206061 142.262935 \nL 227.082507 144.886091 \nL 225.20711 147.458265 \nL 223.575932 149.973177 \nL 222.18291 152.425841 \nL 221.020505 154.812181 \nL 220.080291 157.128732 \nL 219.353456 159.372381 \nL 218.831195 161.540175 \nL 218.505049 163.629151 \nL 218.367158 165.636222 \nL 218.410455 167.558017 \nL 218.62881 169.390827 \nL 219.017113 171.130455 \nL 219.571336 172.772162 \nL 220.288543 174.310545 \nL 221.166891 175.739416 \nL 222.205582 177.051739 \nL 223.404803 178.239462 \nL 224.76566 179.293422 \nL 226.290049 180.203219 \nL 227.980543 180.957075 \nL 229.840232 181.541708 \nL 231.872523 181.942226 \nL 234.080916 182.142025 \nL 236.468726 182.122716 \nL 239.038753 181.864132 \nL 241.792885 181.344352 \nL 244.73163 180.539888 \nL 247.853578 179.425994 \nL 251.154741 177.977117 \nL 254.627835 176.167615 \nL 258.261439 173.972761 \nL 262.039097 171.370046 \nL 265.938311 168.340918 \nL 269.929549 164.872852 \nL 273.975249 160.961881 \nL 278.028965 156.61547 \nL 282.03467 151.855573 \nL 285.926473 146.721708 \nL 289.628814 141.273683 \nL 293.057377 135.593539 \nL 296.120839 129.786208 \nL 298.723615 123.9783 \nL 300.769668 118.314545 \nL 302.167249 112.951685 \nL 302.834467 108.049795 \nL 302.705138 103.761709 \nL 301.734499 100.221489 \nL 299.903991 97.533549 \nL 297.224504 95.763873 \nL 293.737515 94.93491 \nL 289.513735 95.025027 \nL 284.649384 95.972616 \nL 279.260388 97.684102 \nL 273.475237 100.044385 \nL 267.427336 102.928133 \nL 261.247642 106.210135 \nL 255.058394 109.773706 \nL 248.968295 113.516337 \nL 243.069422 117.352694 \nL 237.435748 121.215313 \nL 232.123081 125.053559 \nL 227.170085 128.831497 \nL 222.600037 132.525343 \nL 218.423 136.120748 \nL 214.638156 139.610404 \nL 211.236097 142.991935 \nL 208.200952 146.266252 \nL 205.512265 149.436292 \nL 203.146607 152.506088 \nL 201.0789 155.480158 \nL 199.283477 158.363072 \nL 197.734912 161.159238 \nL 196.408627 163.872767 \nL 195.281336 166.507385 \nL 194.331341 169.06648 \nL 193.538705 171.553072 \nL 192.355036 176.31936 \nL 191.607823 180.824971 \nL 191.20257 185.085417 \nL 191.069679 189.113873 \nL 191.160809 192.92171 \nL 191.445396 196.518762 \nL 191.907691 199.913355 \nL 192.544466 203.112158 \nL 193.363415 206.119841 \nL 194.382252 208.938528 \nL 195.628416 211.56696 \nL 197.139365 213.99926 \nL 198.963377 216.223158 \nL 200.011131 217.250746 \nL 201.160822 218.217362 \nL 202.422156 219.118322 \nL 203.805826 219.947822 \nL 205.323563 220.698725 \nL 206.988211 221.362307 \nL 208.813781 221.927942 \nL 210.815504 222.382747 \nL 213.009863 222.711162 \nL 215.414602 222.894448 \nL 218.048709 222.910135 \nL 220.932331 222.731364 \nL 224.086629 222.326162 \nL 227.533531 221.656679 \nL 231.29536 220.678336 \nL 235.394286 219.339021 \nL 239.851531 217.578327 \nL 244.686323 215.327002 \nL 249.914433 212.506754 \nL 255.546299 209.030654 \nL 261.584565 204.80448 \nL 268.021016 199.729444 \nL 274.832775 193.706801 \nL 281.9778 186.645015 \nL 289.389723 178.470032 \nL 296.972274 169.139144 \nL 304.593693 158.658452 \nL 312.081981 147.103215 \nL 319.221972 134.639066 \nL 325.755796 121.540519 \nL 331.388459 108.201199 \nL 335.800187 95.129237 \nL 338.666703 82.921111 \nL 339.687237 72.210367 \nL 338.618145 63.593604 \nL 335.307392 57.544624 \nL 329.723464 54.335636 \nL 321.971419 53.987606 \nL 312.290591 56.266349 \nL 301.032716 60.727931 \nL 288.623972 66.800635 \nL 275.519059 73.879748 \nL 224.02497 102.829166 \nL 212.746262 108.880477 \nL 202.386029 114.275096 \nL 184.503089 123.206692 \nL 170.195441 130.042274 \nL 146.570823 140.986191 \nL 137.91373 144.888584 \nL 133.49 146.729529 \nL 129.766067 148.050624 \nL 126.506634 148.891093 \nL 123.542958 149.272174 \nL 120.762098 149.206666 \nL 118.097735 148.706322 \nL 115.522573 147.788007 \nL 113.042062 146.479105 \nL 110.688833 144.822174 \nL 108.517301 142.878518 \nL 106.597684 140.730075 \nL 105.00911 138.47881 \nL 103.831529 136.243015 \nL 103.13669 134.150192 \nL 102.988181 133.197311 \nL 102.978861 132.326948 \nL 103.111388 131.552864 \nL 103.38639 130.887303 \nL 103.802353 130.340675 \nL 104.355547 129.921308 \nL 105.040043 129.635247 \nL 105.847794 129.486182 \nL 106.768772 129.475409 \nL 107.791199 129.601897 \nL 110.086002 130.251816 \nL 112.613307 131.387946 \nL 115.245404 132.939186 \nL 117.855994 134.82062 \nL 120.328788 136.941951 \nL 122.563551 139.214005 \nL 124.479361 141.552818 \nL 126.015309 143.881547 \nL 127.129277 146.130718 \nL 127.795564 148.237361 \nL 128.002088 150.14372 \nL 127.932224 151.004816 \nL 127.747728 151.795843 \nL 127.449836 152.510453 \nL 127.040249 153.142425 \nL 126.521114 153.68565 \nL 125.895035 154.134137 \nL 125.165078 154.482022 \nL 124.3348 154.72362 \nL 123.408292 154.85347 \nL 122.39024 154.866413 \nL 121.285991 154.757668 \nL 120.101619 154.52297 \nL 117.521028 153.662002 \nL 114.715112 152.26528 \nL 111.767736 150.333886 \nL 108.781952 147.895374 \nL 105.880475 145.011098 \nL 103.203558 141.782052 \nL 100.903381 138.351054 \nL 99.943086 136.615144 \nL 99.134336 134.899079 \nL 98.494506 133.229571 \nL 98.039225 131.633842 \nL 97.781824 130.138876 \nL 97.732815 128.770577 \nL 97.8994 127.552958 \nL 98.285083 126.507321 \nL 98.889396 125.651535 \nL 99.70774 124.999489 \nL 100.731367 124.560661 \nL 101.947566 124.339928 \nL 103.339927 124.337605 \nL 104.888828 124.549624 \nL 106.571971 124.967977 \nL 108.365022 125.581228 \nL 110.242324 126.375174 \nL 112.177576 127.33351 \nL 116.117542 129.671728 \nL 119.985811 132.448279 \nL 123.608569 135.519155 \nL 126.846268 138.75415 \nL 129.596304 142.041223 \nL 131.790717 145.286276 \nL 132.666496 146.867896 \nL 133.390754 148.410397 \nL 133.962096 149.905644 \nL 134.380101 151.345935 \nL 134.645139 152.72391 \nL 134.758188 154.03242 \nL 134.720698 155.264437 \nL 134.534466 156.412965 \nL 134.201546 157.470941 \nL 133.724189 158.431217 \nL 133.104801 159.286459 \nL 132.345941 160.029134 \nL 131.450334 160.65149 \nL 130.420915 161.145537 \nL 129.260907 161.503081 \nL 127.973918 161.715747 \nL 126.564057 161.775076 \nL 125.036084 161.672602 \nL 123.395573 161.400028 \nL 121.64911 160.949406 \nL 119.804489 160.313375 \nL 117.870936 159.485492 \nL 115.859344 158.460559 \nL 113.782478 157.235069 \nL 111.655218 155.807687 \nL 109.494738 154.179783 \nL 107.320661 152.355994 \nL 105.155146 150.344795 \nL 103.022924 148.159072 \nL 100.951206 145.816609 \nL 98.969458 143.340475 \nL 97.109073 140.759221 \nL 95.402818 138.106868 \nL 93.884157 135.42257 \nL 92.58639 132.74999 \nL 91.541618 130.136246 \nL 90.779589 127.630575 \nL 90.326491 125.282615 \nL 90.203695 123.140478 \nL 90.426619 121.24873 \nL 91.003721 119.646414 \nL 91.935726 118.365246 \nL 93.21524 117.428244 \nL 94.826675 116.848852 \nL 96.746606 116.630613 \nL 98.944535 116.7675 \nL 101.383964 117.244809 \nL 104.023771 118.040465 \nL 106.81973 119.126642 \nL 109.726121 120.471565 \nL 112.697244 122.041264 \nL 115.68886 123.801153 \nL 118.659383 125.7174 \nL 121.570796 127.757948 \nL 124.389335 129.89326 \nL 127.085883 132.096735 \nL 129.636102 134.344869 \nL 132.020364 136.617246 \nL 134.223509 138.89633 \nL 136.234482 141.167201 \nL 138.045867 143.417207 \nL 139.653386 145.635624 \nL 141.055386 147.813306 \nL 142.252328 149.942355 \nL 143.246303 152.015853 \nL 144.040598 154.02757 \nL 144.639292 155.971746 \nL 145.046938 157.842917 \nL 145.268247 159.635705 \nL 145.307883 161.344707 \nL 145.170262 162.96434 \nL 144.859413 164.488724 \nL 144.378891 165.911579 \nL 143.731711 167.226122 \nL 142.920339 168.424985 \nL 141.946695 169.500091 \nL 140.812206 170.4426 \nL 139.517883 171.242843 \nL 138.064422 171.890226 \nL 136.452359 172.373211 \nL 134.682234 172.679288 \nL 132.754803 172.794977 \nL 130.6713 172.705897 \nL 128.433714 172.396868 \nL 126.045142 171.852086 \nL 123.510165 171.055425 \nL 120.835277 169.99082 \nL 118.029385 168.642791 \nL 115.104315 166.997135 \nL 112.075354 165.041812 \nL 108.961844 162.767987 \nL 105.787726 160.17128 \nL 102.582046 157.253212 \nL 99.379364 154.022719 \nL 96.220043 150.497791 \nL 93.150282 146.706978 \nL 90.221868 142.690709 \nL 87.491535 138.502169 \nL 85.019925 134.207531 \nL 82.869989 129.885312 \nL 81.104915 125.624645 \nL 79.785551 121.522351 \nL 78.967457 117.678888 \nL 78.697739 114.193266 \nL 79.011922 111.157348 \nL 79.931096 108.650154 \nL 81.459729 106.732698 \nL 83.584363 105.444041 \nL 86.273412 104.79916 \nL 89.478213 104.788846 \nL 93.135178 105.381648 \nL 97.168964 106.527598 \nL 101.496296 108.163076 \nL 106.030047 110.216261 \nL 110.683291 112.612318 \nL 115.372905 115.278031 \nL 120.022519 118.145253 \nL 124.564684 121.153362 \nL 128.942185 124.250457 \nL 133.108615 127.393665 \nL 137.028265 130.548754 \nL 140.675519 133.689231 \nL 144.033884 136.795261 \nL 147.0948 139.852445 \nL 149.856371 142.850708 \nL 152.322061 145.783259 \nL 154.499485 148.645716 \nL 156.399296 151.435423 \nL 158.034194 154.150884 \nL 159.418095 156.791331 \nL 160.565424 159.356417 \nL 161.490556 161.845996 \nL 162.207363 164.259958 \nL 162.728871 166.598081 \nL 163.067011 168.859975 \nL 163.232442 171.045001 \nL 163.234429 173.152222 \nL 163.080785 175.180329 \nL 162.777831 177.127602 \nL 162.3304 178.991847 \nL 161.741859 180.770313 \nL 161.01414 182.459649 \nL 160.147788 184.05577 \nL 159.142018 185.553782 \nL 157.994775 186.947841 \nL 156.702802 188.231034 \nL 155.26171 189.395212 \nL 153.666062 190.43082 \nL 151.909469 191.326695 \nL 149.984709 192.069872 \nL 147.883851 192.64534 \nL 145.598428 193.03582 \nL 143.119645 193.221527 \nL 140.438647 193.179941 \nL 137.546837 192.885611 \nL 134.436303 192.310037 \nL 131.100333 191.421604 \nL 127.534043 190.185711 \nL 123.735179 188.565074 \nL 119.705054 186.520331 \nL 115.44968 184.011051 \nL 110.981081 180.99725 \nL 106.318816 177.441483 \nL 101.491624 173.311737 \nL 96.539188 168.585121 \nL 91.51394 163.252419 \nL 86.48265 157.323391 \nL 81.527725 150.832563 \nL 76.74781 143.8451 \nL 72.257413 136.461876 \nL 68.185203 128.822809 \nL 64.670496 121.107171 \nL 61.857821 113.529646 \nL 59.889389 106.331092 \nL 58.895776 99.763838 \nL 58.985441 94.072095 \nL 60.234159 89.469746 \nL 62.675811 86.118611 \nL 66.295971 84.11114 \nL 71.029664 83.461051 \nL 76.763977 84.103958 \nL 83.345521 85.908132 \nL 90.591706 88.692981 \nL 98.304279 92.251514 \nL 106.283235 96.372588 \nL 114.339224 100.85929 \nL 122.303286 105.541579 \nL 130.033203 110.282721 \nL 137.416537 114.98026 \nL 144.370803 119.563241 \nL 150.841482 123.987184 \nL 156.798703 128.228279 \nL 162.233228 132.27777 \nL 167.152291 136.137078 \nL 171.575647 139.813904 \nL 175.53207 143.319345 \nL 179.056354 146.665825 \nL 182.186878 149.865802 \nL 184.963681 152.930926 \nL 187.426995 155.871646 \nL 189.61618 158.697043 \nL 193.321 164.031209 \nL 196.353296 168.979698 \nL 204.753309 183.563833 \nL 207.187088 186.954521 \nL 208.489197 188.510629 \nL 209.86619 189.968284 \nL 211.331114 191.321968 \nL 212.89679 192.564958 \nL 212.89679 192.564958 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pdd36bb62c1\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"284.96493pt\" version=\"1.1\" viewBox=\"0 0 293.254083 284.96493\" width=\"293.254083pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:23:01.177580</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 284.96493 \nL 293.254083 284.96493 \nL 293.254083 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 58.976024 218.044889 \nL 145.164279 142.753018 \nL 145.220783 35.72808 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 92.310537 228.931941 \nL 176.659418 151.907412 \nL 178.088302 44.059038 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 126.450646 240.082101 \nL 208.851464 161.264369 \nL 211.715135 52.58246 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 161.425913 251.505023 \nL 241.763807 170.830688 \nL 246.127905 61.305094 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 59.727045 217.388817 \nL 57.470734 219.359873 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(40.917687 241.510595)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 93.046248 228.260115 \nL 90.835894 230.278535 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- 0 -->\n     <g transform=\"translate(81.659765 252.629099)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 127.170085 239.393947 \nL 125.008582 241.461459 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 10 -->\n     <g transform=\"translate(112.659072 264.017336)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 162.128058 250.799938 \nL 160.018474 252.918356 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 20 -->\n     <g transform=\"translate(147.679025 275.685243)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_6\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 30.508308 88.694349 \nL 35.512351 200.80793 \nL 184.232143 248.865536 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 47.257044 76.471884 \nL 51.457929 187.44203 \nL 198.681443 234.036999 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 63.490617 64.625362 \nL 66.934065 174.469626 \nL 212.683209 219.667743 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 79.232436 53.137699 \nL 81.961188 161.873594 \nL 226.257914 205.736756 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.504512 41.992834 \nL 96.558559 149.637788 \nL 239.424803 192.224289 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.327561 31.175648 \nL 110.744354 137.746973 \nL 252.201982 179.111759 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_7\">\n     <path d=\"M 182.979012 248.460597 \nL 186.741638 249.676459 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- −20 -->\n     <g transform=\"translate(186.534133 269.857432)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 197.441907 233.644696 \nL 201.163665 234.8226 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −10 -->\n     <g transform=\"translate(200.789613 254.809372)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 211.457032 219.287495 \nL 215.138629 220.429191 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 0 -->\n     <g transform=\"translate(221.974399 240.227662)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 225.044864 205.368015 \nL 228.687 206.475147 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 10 -->\n     <g transform=\"translate(232.185278 226.090954)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 238.224651 191.86654 \nL 241.828017 192.940655 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 20 -->\n     <g transform=\"translate(245.17485 212.379184)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 251.014502 178.764518 \nL 254.579781 179.807071 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 30 -->\n     <g transform=\"translate(257.779747 199.073476)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_13\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.14356 154.120846 \nL 114.939415 113.79498 \nL 26.262456 186.291355 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.017588 135.034322 \nL 114.727043 95.326618 \nL 25.320575 166.732583 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.905206 115.651008 \nL 114.511529 76.584939 \nL 24.363483 146.857954 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.806734 95.963928 \nL 114.292801 57.563829 \nL 23.39081 126.659754 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.722503 75.965886 \nL 114.070788 38.256993 \nL 22.40217 106.130016 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_14\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.9496 153.782266 \nL 259.534344 154.798818 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 10 -->\n     <g transform=\"translate(269.181825 159.155358)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.814068 134.700811 \nL 260.427535 135.70215 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 20 -->\n     <g transform=\"translate(270.194716 140.107269)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.691973 115.322765 \nL 261.334627 116.308294 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 30 -->\n     <g transform=\"translate(271.223309 120.763898)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.58363 95.64116 \nL 262.255945 96.610258 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 40 -->\n     <g transform=\"translate(272.267971 101.118325)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.489366 75.648806 \nL 263.191828 76.600829 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 50 -->\n     <g transform=\"translate(273.329083 81.163413)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#p838d547fc8)\" d=\"M 133.683874 193.035513 \nL 133.92259 192.158252 \nL 134.457933 191.50509 \nL 135.267716 190.953204 \nL 137.028244 190.134667 \nL 152.524191 183.857422 \nL 157.891789 181.352438 \nL 164.463082 178.008943 \nL 172.42117 173.537646 \nL 176.965801 170.768432 \nL 181.899369 167.576382 \nL 187.217032 163.908407 \nL 192.897095 159.712615 \nL 198.894634 154.943167 \nL 205.133714 149.567529 \nL 211.49841 143.576732 \nL 217.823117 136.999076 \nL 223.883337 129.917226 \nL 229.389015 122.48768 \nL 233.983711 114.959794 \nL 237.254122 107.688986 \nL 238.755548 101.135619 \nL 238.058039 95.838493 \nL 234.814437 92.352647 \nL 228.843088 91.148765 \nL 220.205726 92.488756 \nL 209.249866 96.315051 \nL 196.585828 102.206053 \nL 182.989115 109.437158 \nL 156.056301 124.502938 \nL 143.861245 130.920581 \nL 132.91656 136.06193 \nL 123.290077 139.841426 \nL 114.93297 142.344302 \nL 107.737615 143.745022 \nL 101.578725 144.244612 \nL 96.337087 144.033455 \nL 91.910316 143.275081 \nL 88.215607 142.103307 \nL 85.188259 140.626126 \nL 82.778295 138.931937 \nL 80.946442 137.095642 \nL 79.660146 135.183535 \nL 78.88992 133.256543 \nL 78.606283 131.371922 \nL 78.777334 129.583582 \nL 79.367155 127.941408 \nL 80.334997 126.489926 \nL 81.635282 125.266714 \nL 83.218325 124.300899 \nL 85.031626 123.61204 \nL 87.021516 123.209639 \nL 89.134971 123.09329 \nL 91.321352 123.253497 \nL 93.533919 123.673049 \nL 95.730979 124.328759 \nL 97.876651 125.193338 \nL 99.941192 126.237244 \nL 101.900981 127.430356 \nL 103.738207 128.743337 \nL 105.440344 130.148675 \nL 106.999501 131.621388 \nL 108.411701 133.139418 \nL 109.676173 134.683781 \nL 110.794655 136.238523 \nL 112.609486 139.32928 \nL 113.898429 142.336 \nL 114.71165 145.214422 \nL 115.097785 147.942286 \nL 115.098163 150.51145 \nL 114.743698 152.921862 \nL 114.053603 155.177102 \nL 113.035221 157.281075 \nL 111.68454 159.235393 \nL 109.987146 161.03703 \nL 107.919568 162.675945 \nL 105.451164 164.132266 \nL 102.546914 165.372807 \nL 99.171692 166.346711 \nL 97.298041 166.711667 \nL 95.296953 166.980175 \nL 93.16756 167.138465 \nL 90.910949 167.17062 \nL 88.530764 167.058449 \nL 86.033936 166.781453 \nL 83.431497 166.316884 \nL 80.739506 165.63998 \nL 77.980035 164.724432 \nL 75.182174 163.543168 \nL 72.382988 162.06951 \nL 69.628288 160.278817 \nL 66.973098 158.150648 \nL 64.481551 155.671481 \nL 62.226086 152.837893 \nL 60.285617 149.660069 \nL 58.74256 146.165281 \nL 57.678581 142.400871 \nL 57.169153 138.436108 \nL 57.277313 134.362196 \nL 58.047153 130.289828 \nL 59.497984 126.343907 \nL 61.620114 122.655514 \nL 64.373186 119.351835 \nL 67.687657 116.545271 \nL 71.469452 114.323475 \nL 75.607234 112.741892 \nL 79.981233 111.820169 \nL 84.472222 111.542815 \nL 88.969452 111.863817 \nL 93.376562 112.714058 \nL 97.615122 114.010028 \nL 101.62584 115.66245 \nL 105.3679 117.583545 \nL 108.817025 119.692462 \nL 111.962835 121.918632 \nL 114.806004 124.203266 \nL 117.355547 126.499457 \nL 119.626413 128.771313 \nL 121.637485 130.992561 \nL 123.409973 133.144926 \nL 126.32857 137.200545 \nL 128.558846 140.895686 \nL 130.26345 144.232895 \nL 132.135713 148.623015 \nL 136.187952 159.157842 \nL 137.043764 160.675896 \nL 138.013459 162.023056 \nL 139.134598 163.198928 \nL 140.446709 164.197154 \nL 141.993159 165.004789 \nL 143.82276 165.601282 \nL 145.991067 165.956958 \nL 148.56121 166.030962 \nL 151.603956 165.768629 \nL 155.196393 165.098422 \nL 159.418258 163.928759 \nL 164.344306 162.145685 \nL 167.090136 160.98238 \nL 170.030322 159.613261 \nL 173.165003 158.018969 \nL 176.489468 156.18021 \nL 179.992607 154.078756 \nL 183.65509 151.698865 \nL 187.447262 149.029197 \nL 191.326851 146.065316 \nL 195.236547 142.812804 \nL 199.101725 139.290993 \nL 202.828612 135.537121 \nL 206.303382 131.610587 \nL 209.392791 127.596711 \nL 211.947145 123.609072 \nL 213.806313 119.789163 \nL 214.809464 116.302006 \nL 214.808608 113.326405 \nL 213.685349 111.039194 \nL 211.368942 109.594236 \nL 207.852567 109.098794 \nL 203.203889 109.592044 \nL 197.566011 111.03159 \nL 191.146811 113.293239 \nL 184.197384 116.186152 \nL 176.983808 119.48072 \nL 144.28002 135.047135 \nL 134.692821 139.091376 \nL 127.182778 141.957353 \nL 115.116767 146.379961 \nL 112.019913 147.726781 \nL 108.333675 149.648958 \nL 101.123013 153.74041 \nL 98.92422 154.670137 \nL 96.55111 155.409625 \nL 93.978878 155.904208 \nL 91.205081 156.093776 \nL 88.252373 155.913199 \nL 86.723911 155.662855 \nL 85.172817 155.294473 \nL 83.611027 154.799934 \nL 82.052904 154.171786 \nL 80.515332 153.403643 \nL 79.017705 152.490663 \nL 77.581829 151.430098 \nL 76.231696 150.221897 \nL 74.993092 148.869361 \nL 73.893022 147.379759 \nL 72.95895 145.764902 \nL 72.217841 144.041595 \nL 71.695035 142.231859 \nL 71.413002 140.362901 \nL 71.390052 138.466709 \nL 71.639081 136.579273 \nL 72.166501 134.739408 \nL 72.971433 132.9872 \nL 74.045278 131.362196 \nL 75.371764 129.901481 \nL 76.927452 128.637761 \nL 78.682719 127.59772 \nL 80.603109 126.800737 \nL 82.650942 126.258151 \nL 84.787053 125.973085 \nL 86.972454 125.940861 \nL 89.169864 126.149872 \nL 91.344934 126.582828 \nL 93.467163 127.218218 \nL 95.510457 128.03179 \nL 97.453376 128.997982 \nL 99.27909 130.091145 \nL 100.975133 131.286553 \nL 102.533001 132.561129 \nL 103.947641 133.893937 \nL 105.216919 135.266446 \nL 106.341065 136.66261 \nL 107.32216 138.068812 \nL 108.869937 140.868084 \nL 109.897036 143.596964 \nL 110.445029 146.213352 \nL 110.552939 148.692724 \nL 110.252769 151.021565 \nL 109.567219 153.192094 \nL 108.508945 155.198082 \nL 107.080965 157.0314 \nL 105.277929 158.679012 \nL 103.088233 160.119999 \nL 100.497137 161.322482 \nL 97.491242 162.240264 \nL 95.830453 162.573176 \nL 94.064902 162.809323 \nL 92.19657 162.937396 \nL 90.22922 162.944627 \nL 88.168865 162.816808 \nL 86.024297 162.538359 \nL 83.807648 162.092514 \nL 81.535001 161.461625 \nL 79.226993 160.627653 \nL 76.909378 159.57288 \nL 74.613505 158.280847 \nL 72.376608 156.737592 \nL 70.241831 154.933177 \nL 68.257855 152.863469 \nL 66.478036 150.5321 \nL 64.958932 147.952513 \nL 63.758162 145.149812 \nL 62.93157 142.162212 \nL 62.529831 139.04169 \nL 62.594701 135.853579 \nL 63.155235 132.674753 \nL 64.224461 129.59033 \nL 65.796972 126.688988 \nL 67.847893 124.057181 \nL 70.333518 121.773025 \nL 73.193653 119.900463 \nL 76.355456 118.484711 \nL 79.738292 117.549473 \nL 83.258987 117.096406 \nL 86.836807 117.106726 \nL 90.397653 117.544565 \nL 93.87709 118.361517 \nL 97.222114 119.501515 \nL 100.391749 120.90555 \nL 103.356669 122.515595 \nL 106.098142 124.277574 \nL 108.606573 126.143313 \nL 110.879888 128.071524 \nL 112.921915 130.028045 \nL 114.740911 131.985544 \nL 116.348246 133.922868 \nL 117.757321 135.824238 \nL 120.039262 139.477698 \nL 121.70515 142.895429 \nL 122.866327 146.064091 \nL 123.619168 148.991522 \nL 124.04201 151.696284 \nL 124.194933 154.201335 \nL 124.121054 156.530382 \nL 123.848404 158.705916 \nL 123.391877 160.748287 \nL 122.754907 162.675308 \nL 121.930744 164.502138 \nL 120.903267 166.241203 \nL 119.647361 167.902006 \nL 118.128894 169.490642 \nL 116.304423 171.00887 \nL 114.120744 172.4525 \nL 111.514567 173.80878 \nL 108.412704 175.052374 \nL 104.733486 176.139378 \nL 100.39056 176.998675 \nL 97.943798 177.310406 \nL 95.300973 177.519997 \nL 92.454751 177.604998 \nL 89.400509 177.538414 \nL 86.137532 177.288123 \nL 82.670502 176.816378 \nL 79.011339 176.079472 \nL 75.1814 175.027722 \nL 71.214031 173.605968 \nL 67.157373 171.754836 \nL 63.077246 169.413108 \nL 59.059796 166.521514 \nL 55.213387 163.028345 \nL 51.669041 158.897022 \nL 48.578537 154.115606 \nL 46.10919 148.707612 \nL 44.434494 142.742891 \nL 43.720348 136.346331 \nL 44.107471 129.701621 \nL 45.69196 123.04692 \nL 48.507374 116.660301 \nL 52.512462 110.834656 \nL 57.588424 105.845055 \nL 63.547863 101.914335 \nL 70.154503 99.18463 \nL 77.149856 97.701613 \nL 84.281048 97.415078 \nL 91.324146 98.194759 \nL 98.099245 99.856382 \nL 104.476391 102.190921 \nL 110.373716 104.990827 \nL 115.750573 108.069181 \nL 120.59846 111.270598 \nL 124.931906 114.474802 \nL 128.780596 117.594941 \nL 132.18319 120.57295 \nL 137.824011 125.979157 \nL 142.204681 130.588834 \nL 151.873433 141.246929 \nL 153.920584 143.058439 \nL 155.925181 144.43329 \nL 157.983299 145.405203 \nL 160.16578 145.993365 \nL 162.521593 146.205093 \nL 165.0793 146.038966 \nL 167.846525 145.48858 \nL 170.807485 144.547388 \nL 173.918834 143.214929 \nL 177.104461 141.504779 \nL 180.250515 139.45409 \nL 183.202662 137.133741 \nL 185.768565 134.65694 \nL 186.838711 133.407816 \nL 187.729107 132.1825 \nL 188.411922 131.006852 \nL 188.861181 129.907946 \nL 189.054084 128.913043 \nL 188.972379 128.048348 \nL 188.603698 127.337615 \nL 187.942701 126.80074 \nL 186.991948 126.452451 \nL 185.762332 126.301256 \nL 184.273027 126.348804 \nL 182.550871 126.589739 \nL 180.629268 127.012122 \nL 176.344454 128.326501 \nL 171.751946 130.109302 \nL 167.175577 132.16118 \nL 162.88272 134.310341 \nL 159.060591 136.436525 \nL 155.815282 138.472796 \nL 153.185773 140.393028 \nL 151.163857 142.194886 \nL 149.713485 143.885233 \nL 148.786297 145.470458 \nL 148.332604 146.951594 \nL 148.308318 148.322708 \nL 148.678763 149.57103 \nL 149.420301 150.67772 \nL 150.520506 151.618559 \nL 151.977374 152.364316 \nL 153.79781 152.880683 \nL 155.995439 153.127936 \nL 158.587571 153.060552 \nL 161.590961 152.627146 \nL 165.015819 151.771357 \nL 168.857426 150.434469 \nL 173.084641 148.56108 \nL 177.624915 146.109246 \nL 179.974053 144.660854 \nL 182.346251 143.066792 \nL 184.712599 141.334008 \nL 187.038272 139.474552 \nL 189.282327 137.506533 \nL 191.39776 135.454987 \nL 193.332015 133.352536 \nL 195.028032 131.239665 \nL 196.425932 129.164454 \nL 197.465424 127.18155 \nL 198.088918 125.350244 \nL 198.245268 123.73154 \nL 197.893853 122.38432 \nL 197.008685 121.360811 \nL 195.581968 120.701842 \nL 193.626608 120.432509 \nL 191.177103 120.55902 \nL 188.288512 121.067322 \nL 185.033404 121.92398 \nL 181.497078 123.079334 \nL 177.771676 124.472479 \nL 170.119538 127.708472 \nL 162.731627 131.142799 \nL 156.070904 134.42885 \nL 150.380643 137.401845 \nL 145.722582 140.040471 \nL 142.039255 142.40123 \nL 139.211008 144.563334 \nL 137.096617 146.596843 \nL 135.557752 148.550649 \nL 134.471541 150.452207 \nL 133.735504 152.312347 \nL 133.268109 154.131027 \nL 133.00707 155.902233 \nL 132.906377 158.451286 \nL 133.07187 160.845172 \nL 133.456645 163.059024 \nL 134.05205 165.072693 \nL 134.879618 166.867878 \nL 135.583106 167.933262 \nL 136.431724 168.88457 \nL 137.452294 169.711528 \nL 138.678167 170.400431 \nL 140.150156 170.932859 \nL 141.917619 171.284022 \nL 144.039612 171.420628 \nL 146.585916 171.298125 \nL 149.637594 170.8572 \nL 153.286475 170.019487 \nL 157.632461 168.682693 \nL 162.776879 166.715822 \nL 168.808986 163.956337 \nL 172.176749 162.220435 \nL 175.781242 160.213041 \nL 179.616435 157.90834 \nL 183.667537 155.281943 \nL 187.908314 152.313015 \nL 192.297992 148.987178 \nL 196.777816 145.300381 \nL 201.267481 141.263785 \nL 205.661798 136.909606 \nL 209.828172 132.297601 \nL 213.605798 127.521554 \nL 216.807627 122.714526 \nL 219.226508 118.051114 \nL 220.646747 113.744307 \nL 220.861932 110.034483 \nL 219.698689 107.168558 \nL 217.044144 105.369343 \nL 212.872493 104.798433 \nL 207.263871 105.520109 \nL 200.408493 107.476847 \nL 192.591398 110.486698 \nL 184.158646 114.267339 \nL 175.472391 118.482489 \nL 158.611582 126.929106 \nL 150.901568 130.673911 \nL 143.850865 133.917602 \nL 137.507524 136.623713 \nL 131.869756 138.813483 \nL 126.902794 140.543603 \nL 122.552897 141.887238 \nL 115.452466 143.713118 \nL 110.067654 144.808734 \nL 91.472754 148.035703 \nL 89.979704 148.00965 \nL 88.516211 147.814768 \nL 87.097946 147.433081 \nL 85.754623 146.854382 \nL 84.52709 146.078334 \nL 83.463862 145.11661 \nL 82.616824 143.994682 \nL 82.036052 142.75274 \nL 81.763986 141.445158 \nL 81.829551 140.137987 \nL 82.243092 138.904267 \nL 82.993116 137.817563 \nL 84.045635 136.944579 \nL 85.34644 136.338144 \nL 86.825973 136.032003 \nL 88.405929 136.038341 \nL 90.006309 136.348373 \nL 91.551748 136.935518 \nL 92.976229 137.76021 \nL 94.225833 138.775178 \nL 95.25958 139.930228 \nL 96.04883 141.175926 \nL 96.575723 142.465974 \nL 96.831225 143.758348 \nL 96.813192 145.01543 \nL 96.524762 146.203509 \nL 95.973266 147.291859 \nL 95.169731 148.251698 \nL 94.129009 149.0552 \nL 92.870525 149.674728 \nL 91.419534 150.082488 \nL 89.808828 150.250744 \nL 88.08061 150.152795 \nL 86.288319 149.764937 \nL 84.497879 149.069555 \nL 82.78781 148.059313 \nL 81.247517 146.742289 \nL 79.973044 145.147335 \nL 79.465621 144.261465 \nL 79.059935 143.328513 \nL 78.766238 142.35951 \nL 78.593414 141.367091 \nL 78.548618 140.36531 \nL 78.636935 139.369359 \nL 78.861089 138.395212 \nL 79.221219 137.459181 \nL 79.71475 136.57743 \nL 80.336363 135.76545 \nL 81.078094 135.037537 \nL 81.929523 134.406325 \nL 82.878077 133.882348 \nL 83.909427 133.473733 \nL 85.007921 133.185996 \nL 86.157083 133.021951 \nL 87.340093 132.981768 \nL 88.540252 133.063121 \nL 89.741412 133.261455 \nL 92.08693 133.981645 \nL 94.270042 135.074449 \nL 96.207817 136.459452 \nL 97.841855 138.054151 \nL 99.135873 139.781416 \nL 100.071457 141.573624 \nL 100.643247 143.373993 \nL 100.854444 145.135919 \nL 100.713145 146.821145 \nL 100.229776 148.397399 \nL 99.41561 149.835874 \nL 98.282411 151.108839 \nL 96.843087 152.187495 \nL 95.113342 153.040203 \nL 93.114278 153.631203 \nL 90.875902 153.920067 \nL 88.441399 153.862258 \nL 85.871879 153.411262 \nL 83.250969 152.522949 \nL 81.954413 151.903361 \nL 80.68819 151.162743 \nL 79.470131 150.299938 \nL 78.31951 149.315813 \nL 77.256766 148.213688 \nL 76.303094 146.999756 \nL 75.479932 145.683457 \nL 74.808297 144.277761 \nL 74.308035 142.799319 \nL 73.996982 141.268456 \nL 73.89009 139.708908 \nL 73.998567 138.147363 \nL 74.329121 136.612714 \nL 74.883342 135.13509 \nL 75.657325 133.744707 \nL 76.641558 132.470607 \nL 77.821105 131.339351 \nL 79.176114 130.373847 \nL 80.682584 129.59235 \nL 82.313348 129.007725 \nL 84.039193 128.627097 \nL 85.830027 128.451832 \nL 87.656001 128.477867 \nL 89.488515 128.696324 \nL 91.301051 129.094349 \nL 93.06978 129.656066 \nL 94.773985 130.363554 \nL 96.396247 131.197794 \nL 97.922454 132.139491 \nL 99.341674 133.169778 \nL 100.645911 134.270746 \nL 101.829783 135.425816 \nL 103.825823 137.839932 \nL 105.325229 140.31224 \nL 106.342413 142.768484 \nL 106.901328 145.156115 \nL 107.028381 147.439074 \nL 106.747661 149.59251 \nL 106.078155 151.598057 \nL 105.032572 153.439774 \nL 103.617463 155.10064 \nL 101.83446 156.559457 \nL 99.682597 157.787971 \nL 97.161841 158.748138 \nL 94.278056 159.389644 \nL 92.705095 159.571323 \nL 91.049761 159.647969 \nL 89.317786 159.609189 \nL 87.516898 159.443751 \nL 85.657213 159.139728 \nL 83.751614 158.684734 \nL 81.816133 158.06627 \nL 79.870312 157.2722 \nL 77.937482 156.291363 \nL 76.044941 155.114371 \nL 74.223947 153.73453 \nL 72.509517 152.148957 \nL 70.939905 150.359759 \nL 69.555752 148.375275 \nL 68.398837 146.211238 \nL 67.510447 143.891732 \nL 66.929374 141.449775 \nL 66.689652 138.927336 \nL 66.81818 136.374641 \nL 67.332461 133.848671 \nL 68.238692 131.410806 \nL 69.530492 129.12373 \nL 71.18845 127.047877 \nL 73.180656 125.237707 \nL 75.464201 123.738261 \nL 77.987527 122.582437 \nL 80.693378 121.789281 \nL 83.522008 121.363495 \nL 86.414327 121.296179 \nL 89.314659 121.566598 \nL 92.172905 122.144706 \nL 94.946008 122.994002 \nL 97.598715 124.074449 \nL 100.103711 125.345053 \nL 102.441259 126.76605 \nL 104.598493 128.30047 \nL 106.568506 129.915169 \nL 108.349345 131.581377 \nL 109.943015 133.274822 \nL 111.35454 134.975586 \nL 112.591122 136.66775 \nL 113.661423 138.338953 \nL 115.341571 141.583816 \nL 116.47308 144.663791 \nL 117.129275 147.56 \nL 117.372331 150.270371 \nL 117.25027 152.802055 \nL 116.796071 155.166267 \nL 116.027997 157.374834 \nL 114.950495 159.43778 \nL 113.555331 161.361455 \nL 111.822798 163.14677 \nL 109.723025 164.787182 \nL 107.217593 166.266101 \nL 104.26187 167.553375 \nL 100.808715 168.600572 \nL 98.88161 169.012537 \nL 96.814556 169.334881 \nL 94.604277 169.553483 \nL 92.249237 169.651735 \nL 89.750289 169.610317 \nL 87.111455 169.407028 \nL 84.340849 169.016689 \nL 81.451747 168.411226 \nL 78.463784 167.559971 \nL 75.404269 166.430269 \nL 72.309496 164.988541 \nL 69.225978 163.20189 \nL 66.211443 161.040391 \nL 63.335293 158.480108 \nL 60.678317 155.506882 \nL 58.331252 152.120773 \nL 56.391912 148.340806 \nL 54.960627 144.209529 \nL 54.13392 139.796556 \nL 53.996729 135.200127 \nL 54.61378 130.54566 \nL 56.021271 125.98051 \nL 58.220186 121.66468 \nL 61.172713 117.758127 \nL 64.802837 114.406174 \nL 69.001452 111.725372 \nL 73.635426 109.792338 \nL 78.559178 108.637625 \nL 83.626827 108.245711 \nL 88.702987 108.56069 \nL 93.670799 109.496166 \nL 98.436599 110.947195 \nL 102.931291 112.801981 \nL 107.109166 114.951733 \nL 110.945008 117.297751 \nL 114.430406 119.755524 \nL 117.569916 122.256326 \nL 120.37753 124.746876 \nL 122.873671 127.187814 \nL 125.082767 129.551579 \nL 128.746852 133.982773 \nL 131.585742 137.973575 \nL 133.802572 141.522733 \nL 136.343276 146.085108 \nL 139.599858 151.979437 \nL 140.850485 153.832063 \nL 142.184072 155.426256 \nL 143.662283 156.769716 \nL 145.342089 157.860646 \nL 147.278726 158.687315 \nL 148.360677 158.995002 \nL 148.360677 158.995002 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p838d547fc8\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,0], result_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training - benchmark time"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:25: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n  self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_train_coeffs = {\"sigma\": 20*torch.rand(()), \"rho\": 20*torch.rand(()), \"beta\": 20*torch.rand(())} # Start with arbitrary values\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(2.1258, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.9875, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.4151, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(11.2221, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(2.4854, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(8.9979, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(13.1528, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(6.7183, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(0.0670, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.7091, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(16.6104, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.8756, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.2568, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(19.2346, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6153, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(0.0047, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.1577, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(21.0428, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.4078, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(0.1226, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.9843, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(22.8022, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.5624, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(0.0098, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.9743, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(25.1578, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7153, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(2.3401e-05, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.9913, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(26.5359, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7329, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(1.3627e-05, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.9925, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.5330, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7013, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(8.2589e-07, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.0167, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9302, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6937, requires_grad=True)}\n",
+      "Epoch: 10\t Loss: tensor(8.4879e-06, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.0110, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9532, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6947, requires_grad=True)}\n",
+      "Epoch: 11\t Loss: tensor(1.1533e-05, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.0038, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9606, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6960, requires_grad=True)}\n",
+      "Epoch: 12\t Loss: tensor(2.5021e-06, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.9988, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9662, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6974, requires_grad=True)}\n",
+      "Epoch: 13\t Loss: tensor(2.5532e-07, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.9989, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9706, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6984, requires_grad=True)}\n",
+      "Epoch: 14\t Loss: tensor(1.5852e-07, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.0006, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9749, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6991, requires_grad=True)}\n",
+      "Epoch: 15\t Loss: tensor(1.0941e-08, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.0004, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9784, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6995, requires_grad=True)}\n",
+      "Epoch: 16\t Loss: tensor(4.2036e-09, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.0003, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9811, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6997, requires_grad=True)}\n",
+      "Epoch: 17\t Loss: tensor(4.0390e-07, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.0000, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9836, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6999, requires_grad=True)}\n",
+      "Epoch: 18\t Loss: tensor(7.6960e-08, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.9999, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9863, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6999, requires_grad=True)}\n",
+      "Epoch: 19\t Loss: tensor(2.8299e-08, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.0000, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.9884, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7000, requires_grad=True)}\n",
+      "Time elapsed:  104.24443912506104\n"
+     ]
+    }
+   ],
+   "source": [
+    "start = time.time()\n",
+    "\n",
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,\n",
+    "    torch.optim.Adam,\n",
+    "    {\"lr\": 0.5},\n",
+    "    max_epochs=20,\n",
+    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    scheduler_params={\"milestones\": [10],\"gamma\": 0.2}\n",
+    ")\n",
+    "\n",
+    "end = time.time()\n",
+    "print(\"Time elapsed: \", end-start)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'sigma': Parameter containing:\n",
+       " tensor(10.0000, requires_grad=True),\n",
+       " 'rho': Parameter containing:\n",
+       " tensor(27.9884, requires_grad=True),\n",
+       " 'beta': Parameter containing:\n",
+       " tensor(2.7000, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 19
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt = 10000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_test = ode_solver_train(10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "<ipython-input-21-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:24:49.201340</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m5fe44598d3\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"37.513655\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(26.961312 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"77.307301\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −15 -->\n      <g transform=\"translate(66.754958 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.100948\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −10 -->\n      <g transform=\"translate(106.548604 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"156.894594\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −5 -->\n      <g transform=\"translate(149.5235 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"196.68824\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0 -->\n      <g transform=\"translate(193.50699 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"236.481886\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5 -->\n      <g transform=\"translate(233.300636 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"276.275532\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(269.913032 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.069178\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 15 -->\n      <g transform=\"translate(309.706678 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"355.862824\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(349.500324 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m9e1dd0af7d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9e1dd0af7d\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9e1dd0af7d\" y=\"216.575439\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.374658)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9e1dd0af7d\" y=\"171.934878\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.734097)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9e1dd0af7d\" y=\"127.294317\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 131.093536)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9e1dd0af7d\" y=\"82.653756\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 86.452975)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9e1dd0af7d\" y=\"38.013195\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 41.812414)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p4db2748fd2)\" d=\"M 204.646969 261.216 \nL 203.072732 261.158783 \nL 203.211423 261.12536 \nL 214.34598 259.524511 \nL 218.69 258.560241 \nL 224.117333 257.06188 \nL 227.310098 256.026617 \nL 230.866402 254.738386 \nL 234.822351 253.137128 \nL 239.215965 251.14958 \nL 244.086449 248.686957 \nL 249.473036 245.642569 \nL 255.413272 241.889609 \nL 261.940512 237.279518 \nL 269.080413 231.641577 \nL 276.84609 224.784701 \nL 285.231698 216.502836 \nL 294.204046 206.585861 \nL 303.692213 194.83827 \nL 313.5751 181.108131 \nL 323.667654 165.328213 \nL 333.70707 147.569446 \nL 343.341618 128.102914 \nL 352.126037 107.460291 \nL 359.529085 86.4742 \nL 364.959057 66.272279 \nL 367.812273 48.196687 \nL 367.544678 33.633041 \nL 363.759057 23.762764 \nL 356.290523 19.296 \nL 345.265632 20.276429 \nL 331.111597 26.044874 \nL 314.50516 35.391985 \nL 296.271747 46.846217 \nL 277.263671 58.985475 \nL 258.251956 70.666124 \nL 239.855907 81.121433 \nL 222.517061 89.945634 \nL 206.508993 97.013701 \nL 191.967928 102.385574 \nL 178.93019 106.224529 \nL 167.367158 108.739885 \nL 157.213352 110.152579 \nL 148.386642 110.677431 \nL 140.801331 110.51557 \nL 134.375664 109.852357 \nL 129.035186 108.857352 \nL 124.71329 107.684699 \nL 121.349956 106.472999 \nL 118.889524 105.34452 \nL 117.278015 104.403768 \nL 116.460607 103.735975 \nL 116.379462 103.405834 \nL 116.972243 103.456819 \nL 118.171431 103.911476 \nL 119.904456 104.772855 \nL 122.094576 106.026856 \nL 124.662407 107.645413 \nL 130.611932 111.816298 \nL 137.139909 116.921445 \nL 143.713567 122.592638 \nL 146.883143 125.540992 \nL 149.919396 128.521735 \nL 152.791215 131.509477 \nL 155.475124 134.4838 \nL 157.954554 137.428646 \nL 160.218988 140.331668 \nL 162.263049 143.183544 \nL 164.085587 145.97736 \nL 165.688787 148.708032 \nL 167.07737 151.371831 \nL 168.257866 153.966007 \nL 169.237973 156.488456 \nL 170.026023 158.937476 \nL 170.630537 161.311561 \nL 171.059856 163.609261 \nL 171.321859 165.829045 \nL 171.423738 167.969202 \nL 171.371833 170.027755 \nL 171.171525 172.002381 \nL 170.827144 173.890321 \nL 170.341938 175.688313 \nL 169.718048 177.392501 \nL 168.956515 178.998329 \nL 168.057297 180.500442 \nL 167.019312 181.892582 \nL 165.840485 183.167443 \nL 164.517809 184.316544 \nL 163.047429 185.330052 \nL 161.424744 186.19665 \nL 159.644513 186.903346 \nL 157.701012 187.435282 \nL 155.588204 187.775573 \nL 153.299976 187.905155 \nL 150.830383 187.802623 \nL 148.174007 187.444179 \nL 145.326355 186.803616 \nL 142.284356 185.8524 \nL 139.046963 184.559982 \nL 135.615872 182.894272 \nL 131.996362 180.822401 \nL 128.198263 178.311915 \nL 124.237069 175.332321 \nL 120.135125 171.85726 \nL 115.922936 167.867206 \nL 111.640433 163.352804 \nL 107.338181 158.318752 \nL 103.078326 152.788083 \nL 98.935176 146.806571 \nL 94.99509 140.446708 \nL 91.355531 133.810711 \nL 88.122966 127.031627 \nL 85.409437 120.271769 \nL 83.32774 113.717622 \nL 81.985207 107.57086 \nL 81.476516 102.035627 \nL 81.87601 97.303007 \nL 83.230429 93.534484 \nL 85.55298 90.84681 \nL 88.819776 89.300865 \nL 92.969294 88.896732 \nL 97.905292 89.575815 \nL 103.502822 91.229861 \nL 109.616778 93.714872 \nL 116.091663 96.86754 \nL 122.771501 100.521151 \nL 129.508622 104.518885 \nL 136.170582 108.723146 \nL 142.644791 113.02059 \nL 148.840852 117.323381 \nL 154.690906 121.567678 \nL 160.148423 125.71043 \nL 165.185968 129.725338 \nL 169.792389 133.598853 \nL 173.969819 137.326506 \nL 177.730746 140.909906 \nL 181.095335 144.354383 \nL 184.08909 147.667252 \nL 186.7409 150.856635 \nL 189.081455 153.930654 \nL 191.142001 156.897016 \nL 192.953408 159.762728 \nL 194.545483 162.534014 \nL 197.182968 167.814365 \nL 199.258123 172.773268 \nL 200.942901 177.436657 \nL 206.950531 195.159404 \nL 208.454784 198.40955 \nL 210.170636 201.402942 \nL 212.163937 204.123673 \nL 213.286359 205.373944 \nL 214.505055 206.544944 \nL 215.830023 207.630958 \nL 217.271889 208.624997 \nL 218.841985 209.518574 \nL 220.552395 210.301453 \nL 222.415996 210.961341 \nL 224.446474 211.483544 \nL 226.658319 211.850575 \nL 229.066766 212.0417 \nL 231.687708 212.032466 \nL 234.537524 211.794158 \nL 237.632827 211.293253 \nL 240.990109 210.490867 \nL 244.625224 209.342264 \nL 248.55271 207.796463 \nL 252.784873 205.79608 \nL 257.330598 203.277496 \nL 262.19383 200.171599 \nL 267.371676 196.405268 \nL 272.852084 191.903987 \nL 278.611077 186.595845 \nL 284.609551 180.417383 \nL 290.789752 173.321534 \nL 297.07163 165.287846 \nL 303.349356 156.334863 \nL 309.488579 146.533954 \nL 315.325142 136.023104 \nL 320.666136 125.01832 \nL 325.294305 113.819217 \nL 328.976808 102.804794 \nL 331.478711 92.415762 \nL 332.581285 83.121492 \nL 332.103493 75.37281 \nL 329.924318 69.546824 \nL 326.002015 65.894047 \nL 320.38636 64.500477 \nL 313.220357 65.275178 \nL 304.730082 67.967893 \nL 295.203813 72.212496 \nL 284.964203 77.584965 \nL 274.338676 83.661499 \nL 263.633113 90.064616 \nL 224.509001 114.087492 \nL 202.120297 127.903564 \nL 190.689577 135.186579 \nL 181.631187 141.271866 \nL 174.471739 146.416734 \nL 168.745265 150.803538 \nL 159.994398 157.70019 \nL 156.336305 160.287018 \nL 154.579253 161.364844 \nL 152.838771 162.29462 \nL 151.095173 163.071544 \nL 149.331624 163.689749 \nL 147.53397 164.142431 \nL 145.690578 164.421997 \nL 143.792253 164.520212 \nL 141.832175 164.428366 \nL 139.805905 164.137484 \nL 137.711412 163.638602 \nL 135.549155 162.923085 \nL 133.322197 161.983015 \nL 131.036359 160.811674 \nL 128.700404 159.404097 \nL 126.326188 157.757731 \nL 123.928853 155.873129 \nL 121.526963 153.754761 \nL 119.142599 151.411823 \nL 116.801354 148.859028 \nL 114.532229 146.117364 \nL 112.367384 143.214682 \nL 110.341672 140.186028 \nL 108.49201 137.07371 \nL 106.856494 133.926883 \nL 105.473286 130.800703 \nL 104.379296 127.754875 \nL 103.608695 124.851742 \nL 103.191334 122.153842 \nL 103.15113 119.721204 \nL 103.50459 117.608447 \nL 104.259548 115.862036 \nL 105.414274 114.517918 \nL 106.957039 113.599815 \nL 108.866214 113.118235 \nL 111.110884 113.070519 \nL 113.652013 113.441701 \nL 116.444015 114.206134 \nL 119.436644 115.329726 \nL 122.577014 116.772475 \nL 125.811637 118.491002 \nL 129.088331 120.440919 \nL 132.357807 122.578861 \nL 135.575007 124.864037 \nL 138.700003 127.259288 \nL 141.698568 129.731681 \nL 144.542384 132.252725 \nL 147.208961 134.7983 \nL 149.681335 137.348294 \nL 151.947587 139.886189 \nL 154.000247 142.398558 \nL 155.835655 144.874518 \nL 157.453289 147.305249 \nL 158.85513 149.683539 \nL 160.04505 152.003403 \nL 161.028267 154.259732 \nL 161.810857 156.448004 \nL 162.39935 158.564073 \nL 162.80037 160.603945 \nL 163.020356 162.563645 \nL 163.065334 164.439043 \nL 162.940759 166.225745 \nL 162.651374 167.918983 \nL 162.201141 169.513504 \nL 161.593186 171.003467 \nL 160.829803 172.382341 \nL 159.912456 173.642795 \nL 158.841829 174.776605 \nL 157.617897 175.774522 \nL 156.240018 176.626203 \nL 154.707062 177.320085 \nL 153.017554 177.843302 \nL 151.169866 178.1816 \nL 149.162435 178.319322 \nL 146.994022 178.239371 \nL 144.664033 177.923278 \nL 142.172877 177.351333 \nL 139.522391 176.502837 \nL 136.71634 175.356443 \nL 133.760958 173.890746 \nL 130.665594 172.085006 \nL 127.443388 169.920174 \nL 124.112008 167.380159 \nL 120.69442 164.453449 \nL 117.219625 161.134961 \nL 113.723336 157.428228 \nL 110.248542 153.347751 \nL 106.845792 148.92138 \nL 103.573174 144.192565 \nL 100.495855 139.222134 \nL 97.684984 134.089237 \nL 95.215975 128.891094 \nL 93.166021 123.741169 \nL 91.61086 118.76551 \nL 90.62093 114.097097 \nL 90.257094 109.868535 \nL 90.566282 106.203549 \nL 91.577449 103.208178 \nL 93.29836 100.962765 \nL 95.713654 99.515945 \nL 98.784491 98.881444 \nL 102.449962 99.038315 \nL 106.630213 99.934518 \nL 111.230943 101.493202 \nL 116.148762 103.620689 \nL 121.276909 106.215009 \nL 126.510626 109.173666 \nL 131.751834 112.400121 \nL 136.91272 115.808173 \nL 141.918129 119.324607 \nL 146.706766 122.889922 \nL 151.23138 126.457885 \nL 155.458122 129.994141 \nL 159.365336 133.474388 \nL 162.941989 136.88244 \nL 166.185941 140.208336 \nL 169.102208 143.446711 \nL 171.701305 146.595437 \nL 173.997764 149.654547 \nL 176.008827 152.625422 \nL 177.753351 155.510207 \nL 179.250911 158.311404 \nL 180.521082 161.031603 \nL 181.58289 163.673333 \nL 182.454405 166.238934 \nL 183.152445 168.730527 \nL 183.692391 171.149993 \nL 184.088065 173.49896 \nL 184.351679 175.778814 \nL 184.523501 180.13551 \nL 184.273726 184.226316 \nL 183.644452 188.053435 \nL 182.656133 191.614404 \nL 181.309645 194.900971 \nL 180.497436 196.436755 \nL 179.587979 197.897253 \nL 178.576548 199.278865 \nL 177.457418 200.577115 \nL 176.223879 201.786529 \nL 174.868248 202.900448 \nL 173.381874 203.910836 \nL 171.755157 204.808048 \nL 169.977561 205.58057 \nL 168.037652 206.214713 \nL 165.923148 206.694268 \nL 163.621008 207.000139 \nL 161.117553 207.109921 \nL 158.398643 206.997457 \nL 155.449948 206.632393 \nL 152.257283 205.97973 \nL 148.807092 204.99945 \nL 145.087067 203.64623 \nL 141.086986 201.869354 \nL 136.799743 199.612944 \nL 132.222689 196.816647 \nL 127.35926 193.416969 \nL 122.220981 189.349497 \nL 116.829786 184.552319 \nL 111.220712 178.970844 \nL 105.444839 172.564322 \nL 99.572314 165.31419 \nL 93.695259 157.234089 \nL 87.930027 148.381058 \nL 82.418386 138.866806 \nL 77.326815 128.867322 \nL 72.843222 118.628205 \nL 69.170237 108.462874 \nL 66.514665 98.740597 \nL 65.073166 89.862652 \nL 65.014905 82.226855 \nL 66.463023 76.184294 \nL 69.477724 71.995154 \nL 74.043973 69.793029 \nL 80.066879 69.566543 \nL 87.376395 71.163593 \nL 95.741191 74.317845 \nL 104.889537 78.690779 \nL 114.53355 83.9192 \nL 124.392664 89.657827 \nL 134.212949 95.609862 \nL 152.926728 107.291703 \nL 169.517882 117.867987 \nL 183.507312 127.017374 \nL 194.904937 134.826313 \nL 204.000751 141.517919 \nL 211.205794 147.313244 \nL 216.953219 152.381677 \nL 223.708495 158.850969 \nL 229.210207 164.102524 \nL 232.611685 166.935251 \nL 234.307952 168.141867 \nL 236.028442 169.201286 \nL 237.790617 170.106361 \nL 239.609789 170.848707 \nL 241.499256 171.418694 \nL 243.470392 171.805508 \nL 245.532681 171.997204 \nL 247.693693 171.98078 \nL 249.959023 171.742322 \nL 252.332138 171.267187 \nL 254.81419 170.540312 \nL 257.403755 169.546592 \nL 260.096517 168.271399 \nL 262.884903 166.701246 \nL 265.757648 164.824639 \nL 268.699394 162.633089 \nL 271.690224 160.122322 \nL 274.705252 157.293631 \nL 277.714307 154.155386 \nL 280.681699 150.724575 \nL 283.566217 147.028298 \nL 286.321331 143.105041 \nL 288.895803 139.005601 \nL 291.234604 134.793353 \nL 293.280347 130.543727 \nL 294.975148 126.342667 \nL 296.262942 122.283953 \nL 297.092123 118.465399 \nL 297.418457 114.984053 \nL 297.20794 111.930801 \nL 296.439448 109.384826 \nL 295.106813 107.408488 \nL 293.220165 106.043391 \nL 290.80623 105.307993 \nL 287.90758 105.197253 \nL 284.580792 105.684147 \nL 280.893697 106.723019 \nL 276.922006 108.254133 \nL 272.745573 110.208775 \nL 268.444702 112.514453 \nL 264.096773 115.09934 \nL 259.773443 117.895965 \nL 255.538522 120.843646 \nL 251.446643 123.889951 \nL 247.542598 126.991141 \nL 243.861328 130.111922 \nL 240.428393 133.2247 \nL 237.260791 136.308536 \nL 234.368004 139.348038 \nL 231.753165 142.332221 \nL 229.414223 145.253524 \nL 227.345086 148.106916 \nL 225.536656 150.889194 \nL 223.977758 153.59841 \nL 222.655938 156.233429 \nL 221.558134 158.793607 \nL 220.671227 161.278533 \nL 219.982469 163.687867 \nL 219.479827 166.021201 \nL 219.152229 168.277963 \nL 218.989753 170.457346 \nL 218.983734 172.558234 \nL 219.126848 174.579153 \nL 219.413142 176.518214 \nL 219.838048 178.373023 \nL 220.398356 180.140653 \nL 221.092197 181.817526 \nL 221.918996 183.399344 \nL 222.879419 184.880954 \nL 223.975315 186.256243 \nL 225.209654 187.518009 \nL 226.586451 188.657787 \nL 228.11068 189.665684 \nL 229.788188 190.530175 \nL 231.625569 191.237918 \nL 233.630036 191.773515 \nL 235.809242 192.119298 \nL 238.171071 192.255108 \nL 240.72338 192.158081 \nL 243.473664 191.802498 \nL 246.428639 191.159678 \nL 249.593748 190.197994 \nL 252.97251 188.883038 \nL 256.565781 187.178041 \nL 260.370817 185.044552 \nL 264.380208 182.443564 \nL 268.580625 179.337164 \nL 272.951408 175.690757 \nL 277.463031 171.476099 \nL 282.075496 166.675056 \nL 286.736779 161.284178 \nL 291.381433 155.319959 \nL 295.929626 148.824383 \nL 300.28683 141.870343 \nL 304.344508 134.566067 \nL 307.982117 127.057562 \nL 311.070745 119.527814 \nL 313.478547 112.191719 \nL 315.078018 105.285889 \nL 315.7547 99.053318 \nL 315.416731 93.724 \nL 314.004104 89.493616 \nL 311.496455 86.503745 \nL 307.917935 84.826983 \nL 303.338229 84.460143 \nL 297.869168 85.327091 \nL 291.657172 87.290674 \nL 284.87256 90.171269 \nL 277.697206 93.768275 \nL 270.312231 97.88058 \nL 262.88724 102.323077 \nL 255.572165 106.937483 \nL 248.492077 111.597509 \nL 241.744946 116.209172 \nL 235.401831 120.707789 \nL 229.508882 125.053042 \nL 224.090449 129.22356 \nL 219.152723 133.211706 \nL 214.687465 137.019072 \nL 210.675508 140.652955 \nL 207.089873 144.123708 \nL 203.89839 147.442878 \nL 201.065859 150.622017 \nL 198.555736 153.671966 \nL 196.331418 156.602448 \nL 194.357187 159.421935 \nL 191.024179 164.755553 \nL 188.307896 169.716805 \nL 184.933112 176.519304 \nL 181.895477 182.591564 \nL 179.833636 186.234131 \nL 177.612615 189.53783 \nL 176.411256 191.055167 \nL 175.133518 192.477128 \nL 173.767776 193.798155 \nL 172.302446 195.011473 \nL 170.725866 196.108925 \nL 169.026233 197.080771 \nL 167.19153 197.915453 \nL 165.209512 198.599343 \nL 163.06771 199.116463 \nL 160.753493 199.448176 \nL 158.25417 199.572867 \nL 155.557169 199.465626 \nL 152.650291 199.097944 \nL 149.522066 198.437461 \nL 146.162226 197.447777 \nL 142.562333 196.088452 \nL 138.716565 194.315199 \nL 134.622719 192.080412 \nL 130.283428 189.334154 \nL 125.707631 186.025773 \nL 120.912284 182.106279 \nL 115.924333 177.531722 \nL 110.782842 172.267651 \nL 105.541247 166.294866 \nL 100.269482 159.616296 \nL 95.055795 152.264773 \nL 90.007867 144.311181 \nL 85.252786 135.871836 \nL 80.935376 127.113775 \nL 77.214361 118.256061 \nL 74.25594 109.565163 \nL 72.224649 101.342836 \nL 71.271758 93.905938 \nL 71.522078 87.559119 \nL 73.060601 82.563791 \nL 75.920959 79.108092 \nL 80.077763 77.284147 \nL 85.444609 77.077517 \nL 91.878659 78.371995 \nL 99.191378 80.968496 \nL 107.163967 84.614052 \nL 115.564967 89.034343 \nL 124.167392 93.963411 \nL 132.763145 99.165931 \nL 141.173247 104.450207 \nL 156.89629 114.733097 \nL 170.607855 124.159308 \nL 176.618389 128.485199 \nL 182.064623 132.555357 \nL 186.966859 136.383677 \nL 191.356656 139.98827 \nL 195.273057 143.388514 \nL 198.75955 146.603185 \nL 201.861689 149.649396 \nL 204.625313 152.54204 \nL 209.314511 157.914424 \nL 213.160219 162.79369 \nL 220.880175 173.050168 \nL 223.774868 176.380824 \nL 225.265908 177.869646 \nL 226.809201 179.233585 \nL 228.420439 180.465643 \nL 230.114184 181.557451 \nL 231.904017 182.499147 \nL 233.802615 183.279264 \nL 235.821807 183.884586 \nL 237.972576 184.300034 \nL 240.264999 184.508555 \nL 242.708121 184.491023 \nL 245.309773 184.226222 \nL 248.076292 183.690838 \nL 251.012155 182.859652 \nL 254.119523 181.705773 \nL 257.397667 180.20114 \nL 260.842272 178.317228 \nL 264.444655 176.026101 \nL 268.190831 173.301815 \nL 272.060535 170.122266 \nL 276.026154 166.471516 \nL 280.051689 162.342617 \nL 284.091758 157.740864 \nL 288.090872 152.687331 \nL 291.982982 147.222505 \nL 295.691625 141.409572 \nL 299.130738 135.336877 \nL 302.206433 129.118909 \nL 304.819857 122.895141 \nL 306.871155 116.826151 \nL 308.264602 111.086587 \nL 308.914568 105.855169 \nL 308.751913 101.302221 \nL 307.730188 97.576203 \nL 305.830873 94.790868 \nL 303.06684 93.015184 \nL 299.483478 92.267695 \nL 295.157044 92.516472 \nL 290.190367 93.684595 \nL 284.706346 95.6602 \nL 278.84 98.309234 \nL 272.73015 101.48874 \nL 266.511566 105.058773 \nL 260.308438 108.891546 \nL 254.229587 112.877308 \nL 248.36554 116.92698 \nL 242.787414 120.972216 \nL 237.547235 124.963529 \nL 232.679358 128.867484 \nL 228.202563 132.663483 \nL 224.122509 136.34061 \nL 220.434258 139.894891 \nL 217.124688 143.326997 \nL 214.174686 146.640513 \nL 211.561035 149.840624 \nL 209.258007 152.93323 \nL 207.238638 155.924378 \nL 205.475738 158.819857 \nL 203.942648 161.625048 \nL 202.613792 164.34483 \nL 201.465052 166.983553 \nL 199.620066 172.032863 \nL 198.250373 176.799005 \nL 197.227697 181.302807 \nL 196.127911 187.603537 \nL 195.102161 195.227958 \nL 193.779406 205.18424 \nL 192.997773 209.563624 \nL 192.026632 213.575568 \nL 191.231422 216.053678 \nL 190.283602 218.376905 \nL 189.148111 220.543968 \nL 187.783173 222.549441 \nL 186.138525 224.38205 \nL 184.153429 226.02214 \nL 183.010821 226.760693 \nL 181.754427 227.438029 \nL 180.372673 228.047423 \nL 178.85287 228.580604 \nL 177.181142 229.027435 \nL 175.342344 229.375542 \nL 173.320006 229.609868 \nL 171.096285 229.712149 \nL 168.651952 229.660297 \nL 165.966417 229.427696 \nL 163.017821 228.98238 \nL 159.783206 228.286132 \nL 156.238811 227.293487 \nL 152.360526 225.950695 \nL 148.124566 224.194696 \nL 143.508405 221.952212 \nL 138.492112 219.139133 \nL 133.060117 215.660418 \nL 127.203558 211.41092 \nL 120.923327 206.277533 \nL 114.233872 200.143386 \nL 107.167906 192.894774 \nL 99.781943 184.431711 \nL 92.162504 174.682817 \nL 84.432705 163.625013 \nL 76.758367 151.307606 \nL 69.352686 137.87897 \nL 62.477677 123.612072 \nL 56.440472 108.922471 \nL 51.582257 94.370166 \nL 48.258004 80.636123 \nL 46.806622 68.466502 \nL 47.5133 58.585037 \nL 50.568775 51.585156 \nL 56.033449 47.825335 \nL 63.815209 47.357905 \nL 73.668502 49.916277 \nL 85.217409 54.968414 \nL 97.998794 61.82096 \nL 111.515956 69.74201 \nL 138.905177 86.270584 \nL 152.024227 93.983454 \nL 164.405215 100.989994 \nL 175.892085 107.19503 \nL 186.40285 112.589245 \nL 195.913694 117.216984 \nL 204.443202 121.151054 \nL 212.038545 124.475273 \nL 224.694435 129.62387 \nL 234.47382 133.24814 \nL 241.966032 135.790726 \nL 250.016513 138.231879 \nL 255.401511 139.593545 \nL 259.041502 140.264906 \nL 261.535182 140.483176 \nL 263.257513 140.406537 \nL 264.435957 140.151757 \nL 265.386131 139.694553 \nL 265.786012 139.265779 \nL 265.793116 139.046582 \nL 265.59535 138.960202 \nL 265.09141 139.086106 \nL 264.425642 139.484636 \nL 263.569015 140.282557 \nL 262.915855 141.236454 \nL 262.66946 141.95708 \nL 262.728055 142.513546 \nL 262.977076 142.763941 \nL 263.385822 142.838187 \nL 263.923925 142.721147 \nL 264.766214 142.27164 \nL 265.630849 141.536829 \nL 266.373108 140.622413 \nL 266.855926 139.677039 \nL 266.983879 139.048736 \nL 266.884161 138.564763 \nL 266.556901 138.279544 \nL 266.026282 138.227767 \nL 265.3387 138.420135 \nL 264.557853 138.842463 \nL 263.499954 139.696971 \nL 262.585984 140.758705 \nL 261.970068 141.862229 \nL 261.770351 142.613515 \nL 261.822935 143.22358 \nL 262.130309 143.634064 \nL 262.468513 143.774 \nL 263.14956 143.760615 \nL 263.992114 143.468815 \nL 264.92792 142.908628 \nL 265.875468 142.116114 \nL 266.745521 141.153659 \nL 267.448776 140.107064 \nL 267.905271 139.078656 \nL 268.054651 138.17639 \nL 267.96672 137.695133 \nL 267.726951 137.339712 \nL 267.342128 137.129071 \nL 266.826363 137.075149 \nL 266.200443 137.18221 \nL 265.113884 137.635089 \nL 263.944449 138.399292 \nL 262.804896 139.404064 \nL 261.803543 140.558793 \nL 261.03383 141.762609 \nL 260.56705 142.912732 \nL 260.448266 143.911092 \nL 260.572067 144.448264 \nL 260.856921 144.855786 \nL 261.295526 145.114397 \nL 261.875231 145.209002 \nL 262.578174 145.129357 \nL 263.381435 144.870908 \nL 264.712712 144.154105 \nL 266.095647 143.078578 \nL 267.403684 141.721952 \nL 268.50395 140.20109 \nL 269.270772 138.664502 \nL 269.544855 137.71269 \nL 269.603693 136.875603 \nL 269.436409 136.197303 \nL 269.043442 135.71436 \nL 268.437128 135.453254 \nL 267.641267 135.428689 \nL 266.689901 135.642897 \nL 265.625164 136.086061 \nL 264.494651 136.737608 \nL 262.785253 138.039588 \nL 261.205979 139.618706 \nL 259.903024 141.334371 \nL 259.246202 142.48286 \nL 258.789126 143.586672 \nL 258.549258 144.606447 \nL 258.536556 145.505358 \nL 258.753722 146.249611 \nL 259.19646 146.808887 \nL 259.853659 147.156952 \nL 260.707511 147.272451 \nL 261.733509 147.139948 \nL 262.900409 146.75121 \nL 264.170252 146.106704 \nL 265.498547 145.217142 \nL 266.834863 144.1049 \nL 268.123872 142.805066 \nL 269.307113 141.365679 \nL 270.325513 139.84692 \nL 271.122672 138.318923 \nL 271.648654 136.858037 \nL 271.86415 135.541873 \nL 271.744303 134.443382 \nL 271.281827 133.624899 \nL 270.925088 133.335933 \nL 270.488729 133.132947 \nL 269.396334 132.994561 \nL 268.053497 133.215878 \nL 266.52308 133.782851 \nL 264.877325 134.663958 \nL 263.192648 135.814124 \nL 261.544609 137.179128 \nL 260.003626 138.699777 \nL 258.631743 140.315355 \nL 257.480638 141.966165 \nL 256.590782 143.595042 \nL 255.991462 145.148191 \nL 255.701393 146.575394 \nL 255.729647 147.830007 \nL 256.076557 148.86882 \nL 256.734416 149.652155 \nL 257.68788 150.144217 \nL 258.913921 150.313954 \nL 260.381481 150.136435 \nL 262.050796 149.59492 \nL 263.872617 148.683484 \nL 265.787636 147.410165 \nL 267.726321 145.800216 \nL 269.609659 143.89907 \nL 271.351094 141.77424 \nL 272.860061 139.515297 \nL 274.047219 137.231092 \nL 274.831171 135.043774 \nL 275.14615 133.07968 \nL 275.113391 132.219178 \nL 274.949636 131.45793 \nL 274.654232 130.807745 \nL 274.228621 130.278568 \nL 273.676393 129.878241 \nL 273.003225 129.612333 \nL 272.216814 129.484045 \nL 271.326707 129.49422 \nL 270.344101 129.641393 \nL 268.152843 130.330396 \nL 265.755135 131.500579 \nL 263.270742 133.079263 \nL 260.817491 134.980758 \nL 258.503346 137.114673 \nL 256.420891 139.392194 \nL 254.644492 141.729956 \nL 253.229778 144.051778 \nL 252.214903 146.288787 \nL 251.622812 148.378537 \nL 251.463876 150.263659 \nL 251.54726 151.112606 \nL 251.738355 151.890501 \nL 252.035918 152.591024 \nL 252.438281 153.207977 \nL 252.943341 153.73528 \nL 253.548574 154.166966 \nL 254.251017 154.49721 \nL 255.047238 154.720367 \nL 255.933295 154.831038 \nL 256.904676 154.824124 \nL 257.956241 154.694934 \nL 259.082139 154.439311 \nL 261.52955 153.535615 \nL 264.182943 152.096254 \nL 266.961989 150.124268 \nL 269.768223 147.649755 \nL 272.484803 144.737068 \nL 274.978729 141.490442 \nL 277.106413 138.055782 \nL 277.987404 136.324024 \nL 278.723159 134.616354 \nL 279.297588 132.959549 \nL 279.696331 131.380788 \nL 279.907265 129.906858 \nL 279.921003 128.563354 \nL 279.731306 127.373842 \nL 279.335478 126.359066 \nL 278.734575 125.536249 \nL 277.93356 124.918564 \nL 276.941254 124.514746 \nL 275.770187 124.328942 \nL 274.436277 124.360753 \nL 272.958406 124.605477 \nL 271.357864 125.054558 \nL 269.657742 125.696118 \nL 267.882296 126.515622 \nL 266.05627 127.496554 \nL 262.350253 129.870714 \nL 258.72537 132.671137 \nL 255.342688 135.754906 \nL 252.330719 138.993383 \nL 249.783306 142.27611 \nL 247.762072 145.510373 \nL 246.301661 148.618323 \nL 245.786784 150.103696 \nL 245.416121 151.53301 \nL 245.189239 152.898951 \nL 245.105145 154.194383 \nL 245.162427 155.41229 \nL 245.359355 156.545674 \nL 245.693961 157.587475 \nL 246.164107 158.530517 \nL 246.767508 159.367442 \nL 247.50173 160.090699 \nL 248.364174 160.692504 \nL 249.352036 161.164847 \nL 250.462227 161.49951 \nL 251.691274 161.688132 \nL 253.035219 161.722249 \nL 254.489458 161.59345 \nL 256.048599 161.29351 \nL 257.706274 160.814569 \nL 259.454935 160.149432 \nL 261.285659 159.29185 \nL 263.187935 158.236902 \nL 265.149443 156.981421 \nL 267.155861 155.524486 \nL 269.190682 153.867953 \nL 271.23508 152.017043 \nL 273.267844 149.9809 \nL 275.265351 147.77313 \nL 277.201691 145.412294 \nL 279.048863 142.922268 \nL 280.777144 140.332401 \nL 282.355614 137.677457 \nL 283.752802 134.997233 \nL 284.937569 132.335878 \nL 285.880039 129.7408 \nL 286.552736 127.261247 \nL 286.931707 124.946585 \nL 286.997695 122.844361 \nL 286.737182 120.99827 \nL 286.14333 119.446211 \nL 285.216609 118.218563 \nL 283.965156 117.336851 \nL 282.404767 116.812988 \nL 280.558498 116.649049 \nL 278.455922 116.83768 \nL 276.132042 117.363025 \nL 273.62601 118.202147 \nL 270.979645 119.326633 \nL 268.235976 120.7044 \nL 265.437773 122.301416 \nL 262.62628 124.083248 \nL 259.840114 126.016365 \nL 257.114419 128.069146 \nL 254.480282 130.212538 \nL 251.964413 132.420453 \nL 249.58902 134.669902 \nL 247.371929 136.940926 \nL 245.326805 139.216421 \nL 243.463531 141.481817 \nL 241.788638 143.724778 \nL 240.305772 145.934821 \nL 239.016199 148.102999 \nL 237.919253 150.221563 \nL 237.012801 152.283692 \nL 236.293653 154.283223 \nL 235.757903 156.214442 \nL 235.401258 158.071883 \nL 235.219291 159.850172 \nL 235.207663 161.543862 \nL 235.362276 163.147323 \nL 235.67941 164.654613 \nL 236.155799 166.05938 \nL 236.788683 167.354743 \nL 237.575819 168.533228 \nL 238.515465 169.586652 \nL 239.606332 170.506058 \nL 240.847507 171.281636 \nL 242.238347 171.902676 \nL 243.778335 172.357496 \nL 245.466921 172.633468 \nL 247.303303 172.716995 \nL 249.286204 172.593595 \nL 251.413573 172.248025 \nL 253.682269 171.664474 \nL 256.087692 170.826859 \nL 258.623363 169.71924 \nL 261.280475 168.326377 \nL 264.047393 166.634441 \nL 266.909132 164.631905 \nL 269.84684 162.310653 \nL 272.837253 159.667221 \nL 275.852258 156.704273 \nL 278.858505 153.43213 \nL 281.817207 149.870356 \nL 284.684107 146.049282 \nL 287.409795 142.011224 \nL 289.940351 137.811288 \nL 292.218417 133.517454 \nL 294.184752 129.209758 \nL 295.780269 124.978421 \nL 296.948497 120.920737 \nL 297.638386 117.136845 \nL 297.807302 113.724587 \nL 297.423914 110.773798 \nL 296.470788 108.360666 \nL 294.946329 106.542767 \nL 292.865847 105.355384 \nL 290.261546 104.809706 \nL 287.181396 104.893029 \nL 283.686951 105.571023 \nL 279.850257 106.791612 \nL 275.750233 108.489951 \nL 271.468816 110.593784 \nL 267.087209 113.028645 \nL 262.682613 115.722176 \nL 258.325538 118.60754 \nL 254.077915 121.625585 \nL 249.991963 124.725915 \nL 246.109755 127.867088 \nL 242.463392 131.016146 \nL 239.075633 134.14769 \nL 235.960838 137.242749 \nL 233.126092 140.287614 \nL 230.572417 143.272708 \nL 228.295968 146.191602 \nL 226.289166 149.040174 \nL 224.541726 151.815914 \nL 223.041553 154.517406 \nL 221.77552 157.14392 \nL 220.730095 159.695123 \nL 219.891865 162.170828 \nL 219.247936 164.570873 \nL 218.786241 166.894994 \nL 218.495776 169.142723 \nL 218.366744 171.313344 \nL 218.390664 173.405828 \nL 218.560434 175.418778 \nL 218.870347 177.350354 \nL 219.31609 179.19825 \nL 219.89473 180.959579 \nL 220.60467 182.630824 \nL 221.445608 184.207737 \nL 222.418485 185.685226 \nL 223.525424 187.05722 \nL 224.769668 188.316559 \nL 226.155508 189.454805 \nL 227.6882 190.46208 \nL 229.373874 191.326865 \nL 231.219426 192.035787 \nL 233.232375 192.573398 \nL 235.420708 192.921939 \nL 237.792662 193.0611 \nL 240.356474 192.967811 \nL 243.120048 192.616064 \nL 246.090548 191.976794 \nL 249.273889 191.017865 \nL 252.674107 189.70422 \nL 256.292585 187.99827 \nL 260.127135 185.860566 \nL 264.170905 183.250893 \nL 268.411094 180.129908 \nL 272.827523 176.461405 \nL 277.391047 172.215337 \nL 282.061879 167.37167 \nL 286.787974 161.925082 \nL 291.503557 155.890346 \nL 296.128044 149.30816 \nL 300.565665 142.250822 \nL 304.706052 134.826986 \nL 308.426194 127.184386 \nL 311.594085 119.509329 \nL 314.074251 112.021685 \nL 315.735156 104.964602 \nL 316.458236 98.588681 \nL 316.147773 93.131935 \nL 314.740595 88.797521 \nL 312.214252 85.732859 \nL 308.592226 84.013915 \nL 303.945136 83.637914 \nL 298.387272 84.526097 \nL 292.068833 86.536203 \nL 285.164815 89.4819 \nL 277.862138 93.155299 \nL 270.346864 97.348423 \nL 262.793033 101.870378 \nL 255.354176 106.558587 \nL 248.158029 111.284004 \nL 241.304276 115.951251 \nL 234.864833 120.495267 \nL 228.885995 124.876162 \nL 223.391712 129.073424 \nL 218.387393 133.080481 \nL 213.863771 136.900048 \nL 209.800525 140.540487 \nL 206.169469 144.013071 \nL 202.937249 147.330145 \nL 200.067529 150.503896 \nL 197.522705 153.545654 \nL 195.265205 156.465509 \nL 193.258424 159.27219 \nL 189.859102 164.574211 \nL 187.070424 169.496007 \nL 179.278888 184.014534 \nL 177.001744 187.392573 \nL 175.781134 188.943295 \nL 174.489044 190.396199 \nL 173.113318 191.74577 \nL 171.64198 192.9853 \nL 170.063114 194.106708 \nL 168.364783 195.100356 \nL 166.53496 195.954834 \nL 164.561501 196.656706 \nL 162.432155 197.190268 \nL 160.134602 197.537239 \nL 157.65658 197.676489 \nL 154.986045 197.583745 \nL 152.111429 197.231316 \nL 149.021981 196.587879 \nL 145.708247 195.618357 \nL 142.162672 194.28395 \nL 138.380375 192.542375 \nL 134.360104 190.348437 \nL 130.105419 187.65505 \nL 125.626076 184.414844 \nL 120.939684 180.582497 \nL 116.073515 176.117981 \nL 111.06652 170.990866 \nL 105.97139 165.185706 \nL 100.856465 158.70847 \nL 95.807368 151.593727 \nL 90.927901 143.912029 \nL 86.339854 135.776533 \nL 82.181296 127.347575 \nL 78.602829 118.833447 \nL 75.761477 110.485803 \nL 73.812105 102.588219 \nL 72.896679 95.437511 \nL 73.132053 89.318813 \nL 74.597757 84.477309 \nL 77.325419 81.090985 \nL 81.291751 79.249807 \nL 86.41668 78.945942 \nL 92.567349 80.077418 \nL 99.567844 82.464666 \nL 107.21315 85.876294 \nL 115.285274 90.058418 \nL 123.569092 94.76197 \nL 131.865844 99.763683 \nL 140.003022 104.878895 \nL 147.840099 109.966282 \nL 162.220173 119.69572 \nL 168.644918 124.240128 \nL 174.525413 128.54641 \nL 179.862694 132.615938 \nL 184.673405 136.459039 \nL 188.98555 140.090844 \nL 192.834877 143.52834 \nL 196.261894 146.788478 \nL 199.309531 149.887019 \nL 202.02135 152.837936 \nL 206.607508 158.342567 \nL 210.341139 163.374022 \nL 220.388322 177.692263 \nL 223.19446 180.836757 \nL 224.679675 182.23438 \nL 226.239609 183.506933 \nL 227.888148 184.646268 \nL 229.638471 185.642722 \nL 231.503137 186.484994 \nL 233.49414 187.159974 \nL 235.62291 187.652555 \nL 237.900262 187.945497 \nL 240.336284 188.019258 \nL 242.94016 187.85188 \nL 245.719904 187.418934 \nL 248.682022 186.69354 \nL 251.831033 185.646511 \nL 255.168903 184.246699 \nL 258.694342 182.461564 \nL 262.401956 180.258068 \nL 266.281277 177.603933 \nL 270.315631 174.469435 \nL 274.480929 170.829703 \nL 278.744388 166.667648 \nL 283.063255 161.977523 \nL 287.383671 156.768967 \nL 291.639798 151.071422 \nL 295.753446 144.93853 \nL 299.634383 138.451954 \nL 303.181632 131.72394 \nL 306.285956 124.897729 \nL 308.833764 118.144998 \nL 310.712412 111.659563 \nL 311.816823 105.647074 \nL 312.057002 100.3112 \nL 311.365754 95.837285 \nL 309.705753 92.375812 \nL 307.074887 90.028055 \nL 303.50902 88.836534 \nL 299.081441 88.782143 \nL 293.898934 89.788678 \nL 288.094773 91.733682 \nL 281.819582 94.463741 \nL 275.231234 97.811187 \nL 268.485135 101.609646 \nL 261.725828 105.706267 \nL 255.080726 109.969773 \nL 248.656197 114.294242 \nL 242.535896 118.599323 \nL 236.780986 122.82803 \nL 231.431742 126.943093 \nL 226.510057 130.922818 \nL 222.022392 134.757116 \nL 217.962798 138.443967 \nL 214.315817 141.986608 \nL 211.05907 145.391374 \nL 208.165495 148.666123 \nL 205.605194 151.8192 \nL 203.346908 154.85877 \nL 201.359168 157.792419 \nL 199.611142 160.626994 \nL 198.073243 163.36853 \nL 195.517978 168.592719 \nL 193.493213 173.498679 \nL 191.830701 178.111032 \nL 187.076295 192.154109 \nL 185.642207 195.595283 \nL 184.039865 198.781136 \nL 182.202676 201.700711 \nL 181.17477 203.054791 \nL 180.062115 204.333866 \nL 178.85529 205.533446 \nL 177.544358 206.647979 \nL 176.118784 207.670678 \nL 174.567373 208.593302 \nL 172.878205 209.405897 \nL 171.038602 210.096522 \nL 169.0351 210.650897 \nL 166.853464 211.052037 \nL 164.478724 211.279813 \nL 161.895273 211.310478 \nL 159.087025 211.11616 \nL 156.037641 210.664333 \nL 152.73089 209.917266 \nL 149.151118 208.831551 \nL 145.283919 207.35771 \nL 141.116993 205.440021 \nL 136.641297 203.016654 \nL 131.852478 200.020338 \nL 126.75271 196.379742 \nL 121.352901 192.021883 \nL 115.675372 186.875895 \nL 109.756913 180.878521 \nL 103.652179 173.981579 \nL 97.43729 166.161682 \nL 91.213211 157.43206 \nL 85.10853 147.85584 \nL 79.280931 137.559582 \nL 73.916461 126.744722 \nL 69.225674 115.693908 \nL 65.435727 104.768377 \nL 62.777772 94.392679 \nL 61.469781 85.024656 \nL 61.695919 77.111388 \nL 63.584775 71.036352 \nL 67.189921 67.067074 \nL 72.476775 65.315401 \nL 79.319215 65.7211 \nL 87.507611 68.064192 \nL 96.767629 72.00343 \nL 106.786491 77.130988 \nL 117.241788 83.029518 \nL 127.82799 89.319528 \nL 148.369302 101.908983 \nL 189.438441 127.378687 \nL 201.000912 134.818837 \nL 210.177722 141.05725 \nL 217.432189 146.349563 \nL 223.227908 150.880109 \nL 233.918678 159.502218 \nL 237.478044 161.952933 \nL 239.218868 162.959987 \nL 240.962049 163.815559 \nL 242.725195 164.513749 \nL 244.523274 165.047626 \nL 246.368757 165.409365 \nL 248.271727 165.590375 \nL 250.239937 165.581452 \nL 252.278818 165.372957 \nL 254.391444 164.955073 \nL 256.578456 164.318086 \nL 258.83793 163.452756 \nL 261.165213 162.350774 \nL 263.552735 161.005311 \nL 265.989789 159.411658 \nL 268.462334 157.567968 \nL 270.952792 155.476081 \nL 273.439895 153.142398 \nL 275.898596 150.578789 \nL 278.300113 147.803467 \nL 280.612068 144.841746 \nL 282.798879 141.726618 \nL 284.822284 138.499014 \nL 286.642185 135.207627 \nL 288.217686 131.908288 \nL 289.50844 128.66271 \nL 290.476162 125.536632 \nL 291.086356 122.597406 \nL 291.310049 119.91112 \nL 291.125528 117.539429 \nL 290.519843 115.536424 \nL 289.490012 113.945777 \nL 288.043738 112.798412 \nL 286.199572 112.111172 \nL 283.986484 111.886321 \nL 281.442821 112.112177 \nL 278.614743 112.764661 \nL 275.554258 113.809562 \nL 272.31704 115.205295 \nL 268.960172 116.905728 \nL 265.539988 118.862984 \nL 262.11018 121.029791 \nL 258.720261 123.36137 \nL 255.414402 125.81676 \nL 252.23072 128.35961 \nL 249.200945 130.958511 \nL 246.350431 133.586932 \nL 243.698431 136.222906 \nL 241.258591 138.848534 \nL 239.039584 141.449428 \nL 237.045803 144.014101 \nL 235.278083 146.533434 \nL 233.73443 149.000139 \nL 232.410674 151.408324 \nL 231.301098 153.75311 \nL 230.398962 156.030307 \nL 229.696971 158.23617 \nL 229.187679 160.367182 \nL 228.863797 162.419877 \nL 228.718444 164.390689 \nL 228.745355 166.275836 \nL 228.939018 168.071189 \nL 229.294767 169.772184 \nL 229.808852 171.373712 \nL 230.47846 172.870027 \nL 231.301706 174.254614 \nL 232.277613 175.520117 \nL 233.40605 176.658192 \nL 234.687658 177.659431 \nL 236.123739 178.513206 \nL 237.716136 179.207573 \nL 239.467073 179.729181 \nL 241.378969 180.063154 \nL 243.454206 180.193043 \nL 245.694857 180.100797 \nL 248.102371 179.766789 \nL 250.67718 179.169948 \nL 253.418269 178.287963 \nL 256.322638 177.097669 \nL 259.384712 175.575598 \nL 262.595677 173.698761 \nL 265.942716 171.445702 \nL 269.408212 168.797877 \nL 272.968895 165.741371 \nL 276.594997 162.268958 \nL 280.249477 158.382509 \nL 283.887366 154.095623 \nL 287.455366 149.436363 \nL 290.891808 144.449823 \nL 294.127098 139.20026 \nL 297.084829 133.77231 \nL 299.683642 128.270829 \nL 301.839926 122.818988 \nL 303.471366 117.55421 \nL 304.501258 112.621839 \nL 304.863287 108.166859 \nL 304.506442 104.324192 \nL 303.399564 101.208613 \nL 301.534958 98.905727 \nL 298.930521 97.465208 \nL 295.630055 96.897426 \nL 291.701543 97.174097 \nL 287.233471 98.232825 \nL 282.329671 99.984635 \nL 277.103142 102.323367 \nL 271.669686 105.135369 \nL 266.141908 108.308285 \nL 260.62418 111.737947 \nL 255.208842 115.333012 \nL 249.973838 119.017318 \nL 244.98164 122.730326 \nL 240.279314 126.426177 \nL 235.899427 130.071853 \nL 231.861573 133.644967 \nL 228.174193 137.131506 \nL 224.836536 140.523705 \nL 221.840582 143.818293 \nL 219.17283 147.015032 \nL 216.815887 150.115617 \nL 214.749823 153.122857 \nL 212.953307 156.040116 \nL 211.404515 158.870927 \nL 210.081844 161.618764 \nL 208.964444 164.286914 \nL 208.032606 166.878382 \nL 207.268029 169.395902 \nL 206.653986 171.841916 \nL 205.818907 176.527929 \nL 205.426923 180.951047 \nL 205.403368 185.122655 \nL 205.697063 189.051217 \nL 206.277598 192.742321 \nL 207.132783 196.198298 \nL 208.26658 199.41746 \nL 209.697681 202.392839 \nL 211.45873 205.110364 \nL 212.476949 206.365454 \nL 213.596156 207.546183 \nL 214.824364 208.647424 \nL 216.17051 209.662895 \nL 217.644474 210.584935 \nL 219.257106 211.404282 \nL 221.020241 212.109774 \nL 222.946697 212.688024 \nL 225.050264 213.123043 \nL 227.345661 213.395814 \nL 229.848457 213.483799 \nL 232.57493 213.360423 \nL 235.541864 212.994499 \nL 238.766248 212.34964 \nL 242.264844 211.38369 \nL 246.0536 210.048227 \nL 250.146865 208.288205 \nL 254.556326 206.041869 \nL 259.289685 203.241097 \nL 264.348914 199.812401 \nL 269.728132 195.678849 \nL 275.411012 190.763255 \nL 281.367702 184.993047 \nL 287.551334 178.307155 \nL 293.894244 170.665288 \nL 300.304128 162.059611 \nL 306.660593 152.528536 \nL 312.812742 142.171561 \nL 318.578611 131.163302 \nL 323.747524 119.763581 \nL 328.086421 108.319728 \nL 331.351032 97.256671 \nL 333.302308 87.051467 \nL 333.72729 78.191454 \nL 332.462532 71.119352 \nL 329.416817 66.174277 \nL 324.588674 63.540994 \nL 318.07464 63.221019 \nL 310.065361 65.034235 \nL 300.829259 68.651829 \nL 290.686414 73.651925 \nL 279.977595 79.58327 \nL 269.034129 86.022011 \nL 247.582859 99.079934 \nL 211.377061 121.112135 \nL 191.863111 133.053958 \nL 182.106487 139.300714 \nL 174.409035 144.520314 \nL 168.287034 148.92442 \nL 157.170507 157.109224 \nL 153.562132 159.365024 \nL 151.818856 160.274374 \nL 150.087394 161.033374 \nL 148.350028 161.637198 \nL 146.59191 162.080131 \nL 144.800881 162.355738 \nL 142.967364 162.457026 \nL 141.084265 162.376649 \nL 139.146939 162.107114 \nL 137.153192 161.641038 \nL 135.103313 160.971474 \nL 133.000152 160.092274 \nL 130.849204 158.9985 \nL 128.658735 157.686967 \nL 126.439902 156.156773 \nL 124.206853 154.409928 \nL 121.976809 152.452007 \nL 119.770082 150.292846 \nL 117.610049 147.947158 \nL 115.522994 145.435113 \nL 113.537813 142.782775 \nL 111.685601 140.022302 \nL 109.99905 137.191925 \nL 108.511646 134.33552 \nL 107.256724 131.501805 \nL 106.266316 128.743138 \nL 105.569892 126.113848 \nL 105.193039 123.66825 \nL 105.156144 121.458394 \nL 105.473172 119.531748 \nL 106.150644 117.92895 \nL 107.186911 116.681915 \nL 108.571797 115.812362 \nL 110.286651 115.331037 \nL 112.304888 115.237633 \nL 114.592873 115.521387 \nL 117.111217 116.162309 \nL 119.816283 117.132895 \nL 122.661886 118.400101 \nL 125.60096 119.927417 \nL 128.587161 121.676808 \nL 131.576284 123.610445 \nL 134.527392 125.69209 \nL 137.403701 127.888093 \nL 140.173127 130.168024 \nL 142.808573 132.504993 \nL 145.287938 134.875697 \nL 147.593942 137.260229 \nL 149.71379 139.641814 \nL 151.638703 142.006422 \nL 153.363413 144.342344 \nL 154.885606 146.639814 \nL 156.20538 148.890617 \nL 157.324713 151.087719 \nL 158.24699 153.224989 \nL 158.976556 155.296927 \nL 159.51834 157.298416 \nL 159.877538 159.22456 \nL 160.059339 161.070498 \nL 160.068701 162.831256 \nL 159.910198 164.501633 \nL 159.587899 166.076077 \nL 159.105271 167.548576 \nL 158.465154 168.912567 \nL 157.66973 170.160803 \nL 156.720562 171.285297 \nL 155.618633 172.277221 \nL 154.364421 173.12679 \nL 152.95801 173.823226 \nL 151.399229 174.354659 \nL 149.687809 174.708114 \nL 147.823598 174.869455 \nL 145.806793 174.823451 \nL 143.638228 174.553822 \nL 141.3197 174.043429 \nL 138.854354 173.274474 \nL 136.247105 172.228927 \nL 133.505128 170.888981 \nL 130.638399 169.237779 \nL 127.660266 167.260283 \nL 124.588047 164.944396 \nL 121.443662 162.282274 \nL 118.2542 159.271926 \nL 115.052435 155.91892 \nL 111.877227 152.238284 \nL 108.773677 148.256328 \nL 105.793032 144.012355 \nL 102.992195 139.55993 \nL 100.432781 134.967484 \nL 98.179634 130.317999 \nL 96.298762 125.70745 \nL 94.854735 121.24187 \nL 93.907567 117.032951 \nL 93.509333 113.192379 \nL 93.700701 109.825315 \nL 94.507688 107.023547 \nL 95.939078 104.859176 \nL 97.984729 103.37966 \nL 100.615117 102.604908 \nL 103.782181 102.526761 \nL 107.421557 103.111095 \nL 111.455859 104.30202 \nL 115.798809 106.027622 \nL 120.359707 108.206417 \nL 125.047867 110.753584 \nL 129.776573 113.586447 \nL 134.466327 116.628597 \nL 139.047183 119.812667 \nL 143.460193 123.08166 \nL 147.657968 126.389216 \nL 151.604521 129.698994 \nL 155.274554 132.983552 \nL 158.65237 136.22294 \nL 161.730566 139.403272 \nL 164.508633 142.515368 \nL 166.991567 145.553559 \nL 169.188567 148.514701 \nL 171.111863 151.397391 \nL 172.775692 154.201356 \nL 174.195427 156.926996 \nL 175.386875 159.575086 \nL 176.365694 162.146528 \nL 177.146957 164.642207 \nL 177.74482 167.062892 \nL 178.172279 169.409167 \nL 178.441008 171.681375 \nL 178.561256 173.879592 \nL 178.541793 176.003588 \nL 178.389895 178.052801 \nL 178.111352 180.026286 \nL 177.710494 181.922689 \nL 177.190235 183.74018 \nL 176.55212 185.476391 \nL 175.796374 187.128334 \nL 174.921959 188.69233 \nL 173.926622 190.163872 \nL 172.806953 191.537518 \nL 171.558434 192.806751 \nL 170.175492 193.963796 \nL 168.651559 194.999446 \nL 166.979144 195.90284 \nL 165.149904 196.661232 \nL 163.154749 197.259729 \nL 160.983968 197.68101 \nL 158.627391 197.905027 \nL 156.074597 197.908714 \nL 153.315201 197.665693 \nL 150.339205 197.146031 \nL 147.137459 196.316062 \nL 143.702239 195.138326 \nL 140.027982 193.57172 \nL 136.112192 191.571891 \nL 131.956545 189.092061 \nL 127.568221 186.084335 \nL 122.961449 182.501719 \nL 118.159302 178.300965 \nL 113.195639 173.446434 \nL 108.117192 167.915007 \nL 102.985622 161.702172 \nL 97.879311 154.828986 \nL 92.894654 147.349525 \nL 88.146419 139.358094 \nL 83.766771 130.994936 \nL 79.902441 122.448938 \nL 76.709647 113.955569 \nL 74.346535 105.788449 \nL 72.96319 98.24369 \nL 72.689843 91.617135 \nL 73.624335 86.176771 \nL 75.820474 82.134098 \nL 79.27917 79.61961 \nL 83.944158 78.66767 \nL 89.703477 79.214268 \nL 96.396924 81.108525 \nL 103.828563 84.135434 \nL 111.782389 88.044753 \nL 120.038724 92.58016 \nL 128.389084 97.50354 \nL 136.647798 102.611481 \nL 144.659532 107.743296 \nL 159.489809 117.649283 \nL 166.164242 122.300122 \nL 172.296882 126.71344 \nL 177.881006 130.885602 \nL 182.927507 134.824099 \nL 187.460403 138.542795 \nL 191.512911 142.058479 \nL 195.124181 145.388539 \nL 198.33668 148.549534 \nL 201.194175 151.556391 \nL 203.74023 154.42201 \nL 208.065204 159.770783 \nL 211.62361 164.659075 \nL 218.838343 175.051223 \nL 221.577834 178.48017 \nL 222.99615 180.028636 \nL 224.468884 181.459849 \nL 226.011166 182.76738 \nL 227.637215 183.943464 \nL 229.360474 184.978879 \nL 231.193714 185.862822 \nL 233.149094 186.582715 \nL 235.238179 187.124076 \nL 237.471907 187.470328 \nL 239.860495 187.60266 \nL 242.413286 187.499924 \nL 245.1385 187.138534 \nL 248.042918 186.492496 \nL 251.131452 185.533515 \nL 254.406605 184.231305 \nL 257.867809 182.554083 \nL 261.510628 180.469381 \nL 265.32582 177.945203 \nL 269.298278 174.95168 \nL 273.405846 171.463182 \nL 277.61808 167.46109 \nL 281.894997 162.937126 \nL 286.185917 157.897207 \nL 290.428558 152.365738 \nL 294.54852 146.389922 \nL 298.459453 140.043657 \nL 302.064075 133.430402 \nL 305.256353 126.684116 \nL 307.924979 119.967503 \nL 309.958258 113.466733 \nL 311.250302 107.382349 \nL 311.70824 101.916458 \nL 311.25979 97.257318 \nL 309.860392 93.562956 \nL 307.49898 90.946447 \nL 304.201338 89.465195 \nL 300.030461 89.116355 \nL 295.083519 89.839356 \nL 289.485701 91.525059 \nL 283.381748 94.029705 \nL 276.926203 97.191092 \nL 270.273673 100.844294 \nL 263.570192 104.834569 \nL 256.946485 109.026433 \nL 250.513467 113.308432 \nL 244.360017 117.594347 \nL 238.552713 121.821547 \nL 233.13706 125.947832 \nL 228.139725 129.947456 \nL 223.571334 133.807143 \nL 219.42944 137.522544 \nL 215.701416 141.09525 \nL 212.367092 144.530498 \nL 209.401066 147.835465 \nL 206.774621 151.018129 \nL 204.457298 154.08647 \nL 202.418107 157.048055 \nL 200.626458 159.909774 \nL 199.052825 162.677765 \nL 196.449404 167.953305 \nL 194.406347 172.909466 \nL 192.753696 177.572038 \nL 190.0856 186.087571 \nL 188.241504 191.810702 \nL 186.937583 195.321265 \nL 185.49619 198.587938 \nL 183.854453 201.604501 \nL 181.948632 204.357324 \nL 180.875684 205.627923 \nL 179.7107 206.822743 \nL 178.444012 207.93665 \nL 177.06533 208.96333 \nL 175.563668 209.895094 \nL 173.927288 210.722628 \nL 172.143649 211.434713 \nL 170.19938 212.017898 \nL 168.080272 212.456131 \nL 165.771305 212.73032 \nL 163.256721 212.817866 \nL 160.520141 212.692141 \nL 157.544775 212.321934 \nL 154.313723 211.670876 \nL 150.810398 210.696884 \nL 147.019122 209.351689 \nL 142.925907 207.580526 \nL 138.51952 205.322073 \nL 133.792829 202.508853 \nL 128.744518 199.068284 \nL 123.381216 194.924663 \nL 117.720082 190.002415 \nL 111.791847 184.231007 \nL 105.644244 177.551867 \nL 99.345737 169.927607 \nL 92.989256 161.353605 \nL 86.695485 151.871547 \nL 80.615138 141.583932 \nL 74.929313 130.667511 \nL 69.846934 119.382795 \nL 65.598305 108.075566 \nL 62.423818 97.166468 \nL 60.557671 87.125254 \nL 60.2073 78.429213 \nL 61.530395 71.509418 \nL 64.612936 66.693355 \nL 69.452434 64.156321 \nL 75.950309 63.894227 \nL 83.916173 65.726362 \nL 93.08417 69.328188 \nL 103.138652 74.285728 \nL 113.744459 80.157488 \nL 124.576222 86.529255 \nL 145.799419 99.461571 \nL 200.942489 133.325333 \nL 210.608188 139.614125 \nL 218.238224 144.8917 \nL 224.311271 149.364092 \nL 235.365517 157.743665 \nL 238.969296 160.081801 \nL 240.714587 161.032438 \nL 242.451107 161.832504 \nL 244.196762 162.476882 \nL 245.966641 162.959527 \nL 247.773187 163.27361 \nL 249.626313 163.411656 \nL 251.533481 163.365755 \nL 253.49974 163.127748 \nL 255.52771 162.689481 \nL 257.617543 162.043119 \nL 259.766829 161.181501 \nL 261.970478 160.098583 \nL 264.220597 158.789954 \nL 266.506329 157.253408 \nL 268.813722 155.48961 \nL 271.125602 153.502809 \nL 273.421512 151.30156 \nL 275.677718 148.899464 \nL 277.867314 146.315812 \nL 279.960464 143.576149 \nL 281.924796 140.712582 \nL 283.725994 137.763854 \nL 285.32857 134.775022 \nL 286.696871 131.796722 \nL 287.79625 128.883959 \nL 288.59441 126.094401 \nL 289.062837 123.486295 \nL 289.178251 121.116051 \nL 288.923977 119.035641 \nL 288.291128 117.290141 \nL 287.279475 115.91549 \nL 285.897944 114.936781 \nL 284.164645 114.367279 \nL 282.106395 114.208143 \nL 279.757795 114.449036 \nL 277.159893 115.069386 \nL 274.358562 116.040227 \nL 271.402653 117.326378 \nL 268.342176 118.888732 \nL 265.226512 120.68646 \nL 262.102856 122.678932 \nL 259.014941 124.827254 \nL 256.002061 127.095409 \nL 253.098451 129.450957 \nL 250.332968 131.865383 \nL 247.729059 134.31414 \nL 245.304953 136.776426 \nL 243.074048 139.23488 \nL 241.045395 141.675131 \nL 239.224272 144.08535 \nL 237.612786 146.455799 \nL 236.210455 148.778404 \nL 235.014796 151.046381 \nL 234.021845 153.253895 \nL 233.226622 155.39578 \nL 232.623544 157.467301 \nL 232.206776 159.463946 \nL 231.97052 161.38126 \nL 231.909246 163.21469 \nL 232.017867 164.959467 \nL 232.291875 166.610473 \nL 232.727437 168.162141 \nL 233.321433 169.608339 \nL 234.071488 170.94229 \nL 234.975954 172.156451 \nL 236.033869 173.242426 \nL 237.244882 174.190857 \nL 238.609172 174.991341 \nL 240.127312 175.632339 \nL 241.800121 176.101105 \nL 243.62847 176.38365 \nL 245.613063 176.4647 \nL 247.75417 176.327761 \nL 250.05131 175.955175 \nL 252.502884 175.328311 \nL 255.105769 174.427859 \nL 257.854819 173.234243 \nL 260.742342 171.728222 \nL 263.757499 169.891651 \nL 266.885664 167.708555 \nL 270.10774 165.166352 \nL 273.399493 162.257446 \nL 276.730919 158.980977 \nL 280.065685 155.344838 \nL 283.360724 151.367769 \nL 286.566125 147.08142 \nL 289.625312 142.532176 \nL 292.475704 137.782415 \nL 295.049895 132.910965 \nL 297.277502 128.01238 \nL 299.087612 123.194716 \nL 300.411853 118.575721 \nL 301.188002 114.277366 \nL 301.363826 110.419049 \nL 300.900887 107.109987 \nL 299.777926 104.441658 \nL 297.993447 102.481175 \nL 295.567057 101.266529 \nL 292.539384 100.804514 \nL 288.970459 101.071512 \nL 284.936666 102.017066 \nL 280.52659 103.56967 \nL 275.836152 105.643788 \nL 270.963615 108.147224 \nL 266.004832 110.987734 \nL 261.049245 114.078518 \nL 256.176818 117.341926 \nL 251.45599 120.711637 \nL 246.94267 124.133339 \nL 242.680118 127.564338 \nL 238.699516 130.97239 \nL 235.021054 134.334183 \nL 231.655318 137.63365 \nL 228.604822 140.860377 \nL 225.865561 144.008183 \nL 223.428493 147.073927 \nL 221.280876 150.056526 \nL 219.407448 152.956271 \nL 217.791433 155.774233 \nL 216.415361 158.51193 \nL 215.261738 161.171037 \nL 214.313557 163.753216 \nL 213.55469 166.260016 \nL 212.970168 168.692799 \nL 212.546373 171.052698 \nL 212.271155 173.340607 \nL 212.133901 175.557155 \nL 212.125551 177.702693 \nL 212.238594 179.777279 \nL 212.46703 181.78065 \nL 212.806329 183.712193 \nL 213.253375 185.570902 \nL 213.80641 187.355348 \nL 214.464974 189.063597 \nL 215.229858 190.693151 \nL 216.103046 192.240855 \nL 217.087673 193.702792 \nL 218.187983 195.074165 \nL 219.409292 196.349153 \nL 220.757951 197.52075 \nL 222.241303 198.580573 \nL 223.867653 199.518646 \nL 225.646203 200.323157 \nL 227.586998 200.980175 \nL 229.70083 201.473352 \nL 231.999116 201.7836 \nL 234.493737 201.888716 \nL 237.196822 201.763046 \nL 240.120443 201.377126 \nL 243.276228 200.697365 \nL 246.674852 199.685824 \nL 250.325378 198.300135 \nL 254.234418 196.493619 \nL 258.405089 194.215775 \nL 262.835727 191.413215 \nL 267.518339 188.031246 \nL 272.436758 184.016305 \nL 277.564533 179.319428 \nL 282.86262 173.900955 \nL 288.276904 167.736645 \nL 293.735794 160.825075 \nL 299.148127 153.19621 \nL 304.40179 144.920454 \nL 309.363488 136.117071 \nL 313.88031 126.960488 \nL 317.783646 117.682319 \nL 320.895917 108.566888 \nL 323.040406 99.938418 \nL 324.053865 92.138973 \nL 323.801034 85.498318 \nL 322.189411 80.299102 \nL 319.182133 76.743323 \nL 314.806485 74.926718 \nL 309.156136 74.827353 \nL 302.38596 76.311501 \nL 294.699941 79.155722 \nL 286.333923 83.079975 \nL 277.536078 87.78426 \nL 268.548117 92.981483 \nL 259.589795 98.421354 \nL 242.471771 109.280898 \nL 227.214644 119.370312 \nL 214.274683 128.339899 \nL 208.693651 132.401278 \nL 203.677689 136.202062 \nL 199.191062 139.76398 \nL 195.190861 143.109298 \nL 191.630137 146.258994 \nL 188.460297 149.231776 \nL 183.100831 154.707859 \nL 178.746228 159.633103 \nL 168.712108 171.522469 \nL 165.609154 174.52925 \nL 164.003956 175.837445 \nL 162.340076 177.006504 \nL 160.602235 178.027981 \nL 158.776497 178.891974 \nL 156.85015 179.587057 \nL 154.811675 180.100175 \nL 152.650735 180.416625 \nL 150.358252 180.519949 \nL 147.926519 180.391976 \nL 145.349402 180.01285 \nL 142.622621 179.361201 \nL 139.744111 178.41437 \nL 136.714461 177.14885 \nL 133.53747 175.540893 \nL 130.22078 173.567357 \nL 126.776588 171.206879 \nL 123.222448 168.441323 \nL 119.582092 165.257636 \nL 115.886261 161.650063 \nL 112.173451 157.622657 \nL 108.490538 153.192071 \nL 104.893081 148.390347 \nL 101.445292 143.26754 \nL 98.219406 137.893742 \nL 95.294403 132.360102 \nL 92.753889 126.77832 \nL 90.68313 121.278219 \nL 89.165176 116.003002 \nL 88.2763 111.102254 \nL 88.080985 106.722883 \nL 88.626876 102.998959 \nL 89.940286 100.041359 \nL 92.022779 97.928874 \nL 94.849369 96.702035 \nL 98.368755 96.36062 \nL 102.505605 96.865446 \nL 107.164809 98.143985 \nL 112.237124 100.098883 \nL 117.605685 102.617901 \nL 123.152521 105.58388 \nL 128.764517 108.883338 \nL 134.338287 112.412926 \nL 139.783636 116.083583 \nL 145.025618 119.822263 \nL 150.005263 123.571909 \nL 154.679206 127.290119 \nL 159.018532 130.947068 \nL 163.007085 134.52312 \nL 166.639518 138.006534 \nL 169.919277 141.391368 \nL 172.856649 144.675738 \nL 175.466993 147.860455 \nL 177.76918 150.947953 \nL 179.784268 153.941587 \nL 181.534426 156.845086 \nL 183.04207 159.662249 \nL 184.329196 162.396718 \nL 185.416889 165.0519 \nL 186.324972 167.630903 \nL 187.071777 170.136528 \nL 188.146652 174.937444 \nL 188.754769 179.471693 \nL 188.982897 183.752917 \nL 188.893412 187.791921 \nL 188.527122 191.596979 \nL 187.906103 195.173781 \nL 187.036112 198.525028 \nL 185.908404 201.649675 \nL 184.500868 204.541727 \nL 182.778509 207.188463 \nL 181.784794 208.41342 \nL 180.693333 209.567898 \nL 179.495995 210.647108 \nL 178.183744 211.645149 \nL 176.746605 212.554806 \nL 175.173625 213.367316 \nL 173.452858 214.072083 \nL 171.571337 214.656362 \nL 169.515081 215.104868 \nL 167.269114 215.399359 \nL 164.817524 215.518137 \nL 162.143578 215.435508 \nL 159.229881 215.121194 \nL 156.058654 214.539692 \nL 152.612106 213.649657 \nL 148.872973 212.403299 \nL 144.825249 210.745919 \nL 140.455157 208.61564 \nL 135.752432 205.943535 \nL 130.711961 202.654336 \nL 125.335871 198.668004 \nL 119.636065 193.902504 \nL 113.637303 188.278227 \nL 107.380761 181.724437 \nL 100.927986 174.188226 \nL 94.365049 165.646068 \nL 87.806484 156.117947 \nL 81.398437 145.683192 \nL 75.320147 134.496325 \nL 69.78276 122.8 \nL 65.02418 110.931027 \nL 61.299005 99.314679 \nL 58.862741 88.442908 \nL 57.950783 78.834367 \nL 58.753733 70.97842 \nL 61.392257 65.270972 \nL 65.896047 61.9552 \nL 72.191671 61.082258 \nL 80.103038 62.503892 \nL 89.365652 65.900467 \nL 99.652579 70.837096 \nL 110.607156 76.832793 \nL 121.876173 83.425375 \nL 181.945564 119.608182 \nL 207.808156 134.942613 \nL 216.877723 140.560692 \nL 224.028857 145.210713 \nL 238.461697 154.926895 \nL 242.086611 156.975682 \nL 243.817693 157.78376 \nL 245.523489 158.444418 \nL 247.221608 158.954012 \nL 248.926634 159.308139 \nL 250.650308 159.501852 \nL 252.401686 159.529856 \nL 254.187227 159.386693 \nL 256.010888 159.067016 \nL 257.874147 158.565835 \nL 259.77602 157.878825 \nL 261.713039 157.002673 \nL 263.679223 155.935473 \nL 265.666036 154.677164 \nL 267.662367 153.230004 \nL 269.654486 151.599032 \nL 271.626073 149.792593 \nL 273.558314 147.822804 \nL 275.430002 145.70596 \nL 277.217797 143.462871 \nL 278.896561 141.119022 \nL 280.439813 138.704562 \nL 281.820319 136.254069 \nL 283.010816 133.805994 \nL 283.984845 131.40187 \nL 284.717686 129.085183 \nL 285.187334 126.899984 \nL 285.375529 124.889351 \nL 285.268684 123.093666 \nL 284.858724 121.548955 \nL 284.143735 120.285376 \nL 283.128385 119.325935 \nL 281.82403 118.685635 \nL 280.248536 118.371032 \nL 278.425774 118.380364 \nL 276.384836 118.704052 \nL 274.159028 119.325679 \nL 271.784682 120.223254 \nL 269.299917 121.370601 \nL 266.743366 122.738857 \nL 264.153 124.297847 \nL 261.565109 126.017336 \nL 259.013427 127.868016 \nL 256.528487 129.822275 \nL 254.137204 131.854698 \nL 251.862638 133.942362 \nL 249.723948 136.064894 \nL 247.73652 138.204446 \nL 245.912186 140.345505 \nL 244.259555 142.47466 \nL 242.784382 144.580324 \nL 241.489985 146.65245 \nL 240.377646 148.682258 \nL 239.447021 150.661959 \nL 238.69651 152.584527 \nL 238.123611 154.443475 \nL 237.72521 156.232646 \nL 237.497843 157.946081 \nL 237.437923 159.577853 \nL 237.541906 161.121908 \nL 237.806431 162.571998 \nL 238.228402 163.921539 \nL 238.805067 165.163517 \nL 239.534029 166.290413 \nL 240.413251 167.294112 \nL 241.441006 168.165853 \nL 242.615823 168.896142 \nL 243.936375 169.474738 \nL 245.401362 169.890603 \nL 247.009353 170.131947 \nL 248.758586 170.186236 \nL 250.646744 170.04028 \nL 252.670696 169.680406 \nL 254.826197 169.092657 \nL 257.10755 168.263106 \nL 259.507231 167.178272 \nL 262.015487 165.825656 \nL 264.619901 164.194421 \nL 267.30496 162.276221 \nL 270.051612 160.066169 \nL 272.836836 157.563967 \nL 275.633331 154.775123 \nL 278.409228 151.712258 \nL 281.128009 148.396358 \nL 283.74862 144.857932 \nL 286.225826 141.137891 \nL 288.510882 137.287978 \nL 290.552602 133.370621 \nL 292.298765 129.457982 \nL 293.697935 125.63013 \nL 294.701596 121.972296 \nL 295.266537 118.571226 \nL 295.357307 115.51088 \nL 294.948583 112.86784 \nL 294.027221 110.706704 \nL 292.593744 109.07626 \nL 290.663112 108.006616 \nL 288.264623 107.507802 \nL 285.440925 107.569992 \nL 282.246135 108.165275 \nL 278.743333 109.250756 \nL 275.001552 110.772436 \nL 271.092585 112.669537 \nL 267.087915 114.878627 \nL 263.055929 117.337294 \nL 259.059642 119.986942 \nL 255.155043 122.774772 \nL 251.390018 125.654899 \nL 247.803874 128.588684 \nL 244.427378 131.54454 \nL 241.283179 134.497321 \nL 238.386522 137.427513 \nL 235.746153 140.320302 \nL 233.3653 143.164693 \nL 231.242685 145.952668 \nL 229.373495 148.678452 \nL 227.750278 151.337934 \nL 226.363754 153.928151 \nL 225.203501 156.446914 \nL 224.258558 158.892494 \nL 223.517904 161.263411 \nL 222.970843 163.558234 \nL 222.607318 165.775472 \nL 222.418136 167.91344 \nL 222.395136 169.970188 \nL 222.531298 171.943392 \nL 222.82082 173.83031 \nL 223.259144 175.627681 \nL 223.842976 177.331648 \nL 224.570253 178.937646 \nL 225.440128 180.440321 \nL 226.452906 181.833415 \nL 227.60999 183.109629 \nL 228.913804 184.260484 \nL 230.367698 185.276181 \nL 231.975845 186.14541 \nL 233.743116 186.855205 \nL 235.674925 187.390759 \nL 237.777038 187.735231 \nL 240.055358 187.869599 \nL 242.515642 187.772533 \nL 245.163164 187.420305 \nL 248.002308 186.786766 \nL 251.036064 185.843468 \nL 254.26543 184.55994 \nL 257.688704 182.904157 \nL 261.300627 180.843305 \nL 265.091432 178.344943 \nL 269.045727 175.378581 \nL 273.141295 171.917789 \nL 277.347837 167.942909 \nL 281.625649 163.444343 \nL 285.924456 158.426452 \nL 290.182428 152.911808 \nL 294.325608 146.945571 \nL 298.268002 140.599509 \nL 301.912494 133.975007 \nL 305.152938 127.204208 \nL 307.877518 120.448548 \nL 309.973552 113.893736 \nL 311.333656 107.740912 \nL 311.862909 102.193997 \nL 311.486512 97.444262 \nL 310.157056 93.653857 \nL 307.860494 90.940589 \nL 304.619746 89.366767 \nL 300.495328 88.934008 \nL 295.582541 89.585283 \nL 290.005504 91.213667 \nL 283.908732 93.676165 \nL 277.447335 96.810084 \nL 270.777174 100.448914 \nL 264.046026 104.435698 \nL 257.386635 108.632466 \nL 250.912012 112.925347 \nL 244.713052 117.225924 \nL 238.85814 121.469821 \nL 233.394324 125.613484 \nL 228.349506 129.630213 \nL 223.735254 133.506121 \nL 219.549788 137.236516 \nL 215.780904 140.822828 \nL 212.408665 144.270269 \nL 209.407733 147.586083 \nL 206.749343 150.778344 \nL 204.402888 153.855173 \nL 202.337171 156.82426 \nL 200.521352 159.692611 \nL 198.925629 162.466469 \nL 196.283113 167.751801 \nL 194.205833 172.715556 \nL 192.521662 177.383791 \nL 189.79094 185.904841 \nL 187.893607 191.626154 \nL 186.548334 195.131753 \nL 185.059151 198.389499 \nL 183.361634 201.391979 \nL 181.390381 204.123886 \nL 180.280541 205.380772 \nL 179.075568 206.55924 \nL 177.765547 207.65373 \nL 176.339935 208.657425 \nL 174.787492 209.562053 \nL 173.096225 210.357619 \nL 171.253345 211.032113 \nL 169.245251 211.571171 \nL 167.057534 211.957679 \nL 164.675018 212.171342 \nL 162.081848 212.188201 \nL 159.261656 211.980093 \nL 156.19779 211.514107 \nL 152.873658 210.752028 \nL 149.273219 209.649825 \nL 145.381644 208.157244 \nL 141.186195 206.2176 \nL 136.67738 203.767886 \nL 131.850421 200.739427 \nL 126.707117 197.059259 \nL 121.258094 192.652544 \nL 115.525537 187.44641 \nL 109.546357 181.375521 \nL 103.375666 174.389756 \nL 97.090479 166.464185 \nL 90.793239 157.611231 \nL 84.614722 147.894445 \nL 78.715587 137.442524 \nL 73.285691 126.461274 \nL 68.540173 115.240238 \nL 64.711334 104.150036 \nL 62.035634 93.626577 \nL 60.735961 84.139828 \nL 61.000322 76.148005 \nL 62.959295 70.042607 \nL 66.666041 66.094189 \nL 72.08286 64.411569 \nL 79.077943 64.925641 \nL 87.434079 67.40321 \nL 96.868402 71.487996 \nL 107.059763 76.757899 \nL 117.678564 82.784232 \nL 128.41388 89.180095 \nL 158.864265 107.851771 \nL 196.717431 131.215726 \nL 207.071064 137.929197 \nL 215.251566 143.562687 \nL 221.738061 148.342666 \nL 237.010851 160.001101 \nL 238.771895 161.087544 \nL 240.513219 162.026371 \nL 242.254837 162.812958 \nL 244.013869 163.441619 \nL 245.804734 163.905728 \nL 247.639295 164.197852 \nL 249.52696 164.30992 \nL 251.474741 164.233383 \nL 253.487273 163.959437 \nL 255.566776 163.47927 \nL 257.712995 162.784375 \nL 259.923073 161.866954 \nL 262.191416 160.720364 \nL 264.509542 159.339685 \nL 266.865876 157.722328 \nL 269.245626 155.868761 \nL 271.630605 153.783268 \nL 273.999159 151.474746 \nL 276.326173 148.957498 \nL 278.583153 146.251961 \nL 280.738503 143.385296 \nL 282.757916 140.391738 \nL 284.605034 137.312661 \nL 286.242289 134.196214 \nL 287.631979 131.096489 \nL 288.737566 128.07216 \nL 289.525108 125.184608 \nL 289.964844 122.495589 \nL 290.032752 120.064569 \nL 289.712013 117.945894 \nL 288.994261 116.186098 \nL 287.880507 114.821563 \nL 286.381589 113.87669 \nL 284.518121 113.363027 \nL 282.319925 113.279091 \nL 279.824929 113.611208 \nL 277.077647 114.33506 \nL 274.127362 115.417817 \nL 271.026142 116.820531 \nL 267.826813 118.500717 \nL 264.581124 120.41466 \nL 261.338084 122.519439 \nL 258.142683 124.774498 \nL 255.034927 127.142742 \nL 252.049262 129.591157 \nL 249.214319 132.091103 \nL 246.552983 134.618193 \nL 244.082646 137.15206 \nL 241.815685 139.675906 \nL 239.760015 142.176005 \nL 237.919731 144.64122 \nL 236.295752 147.062492 \nL 234.88646 149.432395 \nL 233.688301 151.744758 \nL 232.696337 153.9943 \nL 231.904715 156.176365 \nL 231.307098 158.286687 \nL 230.897009 160.32117 \nL 230.66812 162.275744 \nL 230.614473 164.146212 \nL 230.730673 165.928112 \nL 231.011986 167.616633 \nL 231.454451 169.206462 \nL 232.05491 170.691734 \nL 232.811033 172.065882 \nL 233.721291 173.321568 \nL 234.784921 174.45055 \nL 236.001858 175.443597 \nL 237.372637 176.290383 \nL 238.898269 176.979377 \nL 240.580095 177.497766 \nL 242.419601 177.831398 \nL 244.41819 177.96471 \nL 246.576933 177.880757 \nL 248.896239 177.561258 \nL 251.375517 176.986733 \nL 254.012724 176.136755 \nL 256.803903 174.990319 \nL 259.74262 173.526402 \nL 262.81934 171.724731 \nL 266.020749 169.566754 \nL 269.32904 167.036948 \nL 272.721164 164.124372 \nL 276.168095 160.824548 \nL 279.634183 157.14157 \nL 283.076629 153.090417 \nL 286.445193 148.699287 \nL 289.68226 144.011759 \nL 292.723314 139.088482 \nL 295.498049 134.008077 \nL 297.932074 128.866819 \nL 299.949384 123.776776 \nL 301.475551 118.862166 \nL 302.441497 114.253781 \nL 302.787678 110.081841 \nL 302.468366 106.467618 \nL 301.455551 103.514956 \nL 299.74207 101.302409 \nL 297.343482 99.877454 \nL 294.298352 99.253426 \nL 290.666862 99.409769 \nL 286.527735 100.2955 \nL 281.973858 101.8354 \nL 277.10699 103.937735 \nL 272.032239 106.502561 \nL 266.852761 109.429322 \nL 261.665199 112.62315 \nL 256.556172 115.999205 \nL 251.599905 119.485216 \nL 246.857051 123.022314 \nL 242.374478 126.564589 \nL 238.185894 130.077779 \nL 234.312995 133.537506 \nL 230.767018 136.927388 \nL 227.550408 140.237208 \nL 224.658534 143.46133 \nL 222.081304 146.597344 \nL 219.804631 149.64502 \nL 217.811719 152.605481 \nL 216.084151 155.480653 \nL 214.602769 158.272842 \nL 213.348395 160.984476 \nL 212.302369 163.617903 \nL 211.446967 166.175339 \nL 210.765687 168.658766 \nL 210.243446 171.069931 \nL 209.866699 173.410349 \nL 209.623497 175.681271 \nL 209.497956 180.01841 \nL 209.802888 184.086405 \nL 210.498116 187.886014 \nL 211.56519 191.412934 \nL 212.237846 193.071092 \nL 213.005389 194.656469 \nL 213.870794 196.166398 \nL 214.838087 197.597513 \nL 215.912326 198.945624 \nL 217.099576 200.205601 \nL 218.406893 201.371187 \nL 219.842313 202.434832 \nL 221.41483 203.387474 \nL 223.134377 204.218282 \nL 225.011792 204.914381 \nL 227.058762 205.460532 \nL 229.28775 205.838772 \nL 231.711879 206.028033 \nL 234.34476 206.003711 \nL 237.200271 205.737249 \nL 240.29222 205.195697 \nL 243.633935 204.341342 \nL 247.237668 203.131409 \nL 251.113866 201.517934 \nL 255.270199 199.447912 \nL 259.710363 196.863822 \nL 264.432556 193.704763 \nL 269.427673 189.908347 \nL 274.677124 185.413647 \nL 280.150336 180.165473 \nL 285.801991 174.120153 \nL 291.569112 167.253046 \nL 297.368241 159.567703 \nL 303.093025 151.106348 \nL 308.61275 141.960741 \nL 313.772441 132.282015 \nL 318.39522 122.287282 \nL 322.287702 112.260227 \nL 325.248962 102.542973 \nL 327.083246 93.516961 \nL 327.615763 85.572462 \nL 326.710378 79.069181 \nL 324.286606 74.293579 \nL 320.333253 71.421072 \nL 314.915546 70.492037 \nL 308.173848 71.407908 \nL 300.313319 73.949252 \nL 291.585993 77.811213 \nL 282.268283 82.648017 \nL 272.63781 88.116155 \nL 262.953046 93.908407 \nL 244.275065 105.528501 \nL 227.501989 116.253754 \nL 213.223823 125.639147 \nL 201.513807 133.70244 \nL 192.133013 140.63911 \nL 184.696013 146.664805 \nL 178.778496 151.95287 \nL 173.976686 156.621316 \nL 164.653826 165.940066 \nL 161.313725 168.747539 \nL 159.627325 169.941827 \nL 157.904474 170.988218 \nL 156.128687 171.878878 \nL 154.285424 172.60468 \nL 152.361984 173.155203 \nL 150.347429 173.518756 \nL 148.232587 173.682413 \nL 146.010088 173.632075 \nL 143.674467 173.352604 \nL 141.222335 172.828025 \nL 138.652618 172.041795 \nL 135.966854 170.977234 \nL 133.169558 169.618062 \nL 130.268642 167.949124 \nL 127.275899 165.957308 \nL 124.207498 163.632642 \nL 121.084479 160.969643 \nL 117.933271 157.968857 \nL 114.786047 154.638517 \nL 111.68104 150.996307 \nL 108.662551 147.071074 \nL 105.780759 142.90432 \nL 103.091085 138.551216 \nL 100.653166 134.080978 \nL 98.529269 129.576274 \nL 96.782217 125.131418 \nL 95.472777 120.849317 \nL 94.656658 116.83705 \nL 94.381261 113.200331 \nL 94.682449 110.037344 \nL 95.581618 107.432363 \nL 97.083405 105.450134 \nL 99.174338 104.131542 \nL 101.822638 103.491251 \nL 104.979274 103.517748 \nL 108.580214 104.175528 \nL 112.549704 105.409366 \nL 116.804192 107.149698 \nL 121.256568 109.318685 \nL 125.820244 111.835932 \nL 130.41283 114.623413 \nL 134.95906 117.609231 \nL 139.392916 120.730012 \nL 143.658877 123.932115 \nL 147.712385 127.171793 \nL 151.519649 130.414613 \nL 155.056951 133.634392 \nL 158.309608 136.811931 \nL 161.270724 139.933666 \nL 163.93987 142.990444 \nL 166.321794 145.976423 \nL 168.425182 148.888139 \nL 170.261567 151.723787 \nL 171.844349 154.48265 \nL 173.187992 157.164687 \nL 174.307342 159.770221 \nL 175.217088 162.299712 \nL 175.931344 164.753603 \nL 176.463326 167.132242 \nL 176.825122 169.435767 \nL 177.027541 171.664082 \nL 177.080001 173.816806 \nL 176.990486 175.893223 \nL 176.765521 177.892235 \nL 176.410179 179.812333 \nL 175.928109 181.651519 \nL 175.321572 183.407254 \nL 174.591487 185.076379 \nL 173.73748 186.65502 \nL 172.757943 188.138487 \nL 171.650086 189.521133 \nL 170.409996 190.796228 \nL 169.0327 191.955798 \nL 167.512234 192.990434 \nL 165.841718 193.889094 \nL 164.013451 194.638861 \nL 162.019021 195.224719 \nL 159.849451 195.629273 \nL 157.495375 195.832489 \nL 154.947268 195.811428 \nL 152.195743 195.539994 \nL 149.231929 194.988743 \nL 146.047932 194.124767 \nL 142.637452 192.911718 \nL 138.996504 191.310023 \nL 135.124345 189.277405 \nL 131.024549 186.769788 \nL 126.706327 183.742726 \nL 122.186013 180.153493 \nL 117.48876 175.96397 \nL 112.650394 171.144476 \nL 107.719284 165.678577 \nL 102.758186 159.568836 \nL 97.845748 152.843326 \nL 93.077452 145.562346 \nL 88.565639 137.824647 \nL 84.438155 129.772006 \nL 80.835264 121.590676 \nL 77.90444 113.508301 \nL 75.79293 105.784839 \nL 74.638243 98.697053 \nL 74.557181 92.517034 \nL 75.634465 87.486899 \nL 77.912523 83.793457 \nL 81.384031 81.547227 \nL 85.988807 80.770329 \nL 91.61593 81.396009 \nL 98.111149 83.280168 \nL 105.288659 86.222358 \nL 112.945456 89.991766 \nL 120.876193 94.353001 \nL 128.88652 99.087529 \nL 136.803454 104.00815 \nL 144.482134 108.966065 \nL 151.808886 113.851675 \nL 158.701265 118.590979 \nL 165.105785 123.13944 \nL 170.994269 127.475174 \nL 176.359528 131.592417 \nL 181.210948 135.496031 \nL 185.57036 139.197127 \nL 189.468412 142.709925 \nL 192.941516 146.049546 \nL 196.029389 149.230653 \nL 198.773138 152.266663 \nL 201.213821 155.169345 \nL 205.344101 160.612962 \nL 208.716097 165.621453 \nL 217.917158 180.09264 \nL 220.532071 183.349798 \nL 221.923063 184.817742 \nL 223.388646 186.171039 \nL 224.942191 187.402467 \nL 226.596589 188.503385 \nL 228.364352 189.463575 \nL 230.257677 190.271061 \nL 232.288486 190.911897 \nL 234.46839 191.369961 \nL 236.808633 191.626742 \nL 239.319956 191.661132 \nL 242.012388 191.449269 \nL 244.894966 190.964402 \nL 247.97534 190.176857 \nL 251.259256 189.054137 \nL 254.74994 187.561211 \nL 258.447286 185.661062 \nL 262.346929 183.315604 \nL 266.439104 180.487023 \nL 270.707383 177.139705 \nL 275.127228 173.242826 \nL 279.664468 168.773687 \nL 284.27376 163.72184 \nL 288.897146 158.093901 \nL 293.462902 151.91888 \nL 297.884918 145.253592 \nL 302.062898 138.187536 \nL 305.883661 130.846281 \nL 309.22393 123.392346 \nL 311.954802 116.022381 \nL 313.947998 108.959662 \nL 315.083756 102.441582 \nL 315.259837 96.702529 \nL 314.40085 91.953765 \nL 312.466704 88.363008 \nL 309.458917 86.03715 \nL 305.423599 85.011441 \nL 300.450312 85.247412 \nL 294.666697 86.640063 \nL 288.229459 89.033015 \nL 281.312948 92.23832 \nL 274.096972 96.057265 \nL 266.75535 100.298701 \nL 259.446518 104.792609 \nL 252.306924 109.39804 \nL 245.447342 114.005753 \nL 238.951843 118.536938 \nL 232.878858 122.939264 \nL 227.263712 127.181815 \nL 222.121933 131.249818 \nL 217.4529 135.139894 \nL 213.243402 138.85607 \nL 209.470906 142.406757 \nL 206.106406 145.802523 \nL 203.116778 149.054581 \nL 200.466694 152.173847 \nL 198.120095 155.170384 \nL 196.041302 158.053125 \nL 194.195806 160.829784 \nL 191.075536 166.089947 \nL 188.522227 170.990712 \nL 181.423075 185.589693 \nL 179.35379 189.044576 \nL 177.069313 192.158775 \nL 175.817355 193.578936 \nL 174.477126 194.900997 \nL 173.037275 196.118414 \nL 171.486318 197.223292 \nL 169.812557 198.206177 \nL 168.004023 199.055823 \nL 166.048442 199.758934 \nL 163.933251 200.299882 \nL 161.645633 200.660387 \nL 159.172618 200.819183 \nL 156.501248 200.751688 \nL 153.618814 200.429652 \nL 150.513184 199.820882 \nL 147.173268 198.888998 \nL 143.589607 197.593362 \nL 139.755143 195.889178 \nL 135.666194 193.727927 \nL 131.32365 191.058223 \nL 126.734441 187.827264 \nL 121.913235 183.983073 \nL 116.884457 179.477713 \nL 111.68447 174.271643 \nL 106.363939 168.33937 \nL 100.990125 161.676424 \nL 95.648957 154.307353 \nL 90.44645 146.294364 \nL 85.509102 137.745505 \nL 80.982624 128.821054 \nL 77.028595 119.736181 \nL 73.81839 110.757808 \nL 71.524271 102.193793 \nL 70.307695 94.373402 \nL 70.305653 87.61981 \nL 71.61646 82.21754 \nL 74.286923 78.379795 \nL 78.303236 76.222149 \nL 83.587578 75.748589 \nL 90.001583 76.853552 \nL 97.356616 79.339806 \nL 105.429378 82.948034 \nL 113.980335 87.391451 \nL 122.772093 92.388328 \nL 131.585142 97.687096 \nL 140.229335 103.081397 \nL 156.432634 113.582003 \nL 170.594784 123.181501 \nL 176.80921 127.571362 \nL 182.44267 131.690478 \nL 187.515083 135.55387 \nL 192.058403 139.181128 \nL 196.112612 142.593216 \nL 199.722472 145.810416 \nL 202.935009 148.851152 \nL 205.797614 151.73145 \nL 210.656692 157.0619 \nL 214.644424 161.87987 \nL 222.658499 171.906652 \nL 225.663757 175.111531 \nL 227.210636 176.528738 \nL 228.81047 177.814565 \nL 230.479037 178.961444 \nL 232.230851 179.960401 \nL 234.079298 180.800953 \nL 236.036704 181.471011 \nL 238.114358 181.956764 \nL 240.322512 182.242605 \nL 242.670273 182.311062 \nL 245.165471 182.142764 \nL 247.814416 181.716493 \nL 250.62161 181.009312 \nL 253.589333 179.996817 \nL 256.717149 178.653577 \nL 260.001315 176.953757 \nL 263.43408 174.872027 \nL 267.002877 172.384819 \nL 270.689471 169.471902 \nL 274.469012 166.118411 \nL 278.30913 162.317286 \nL 282.16905 158.07207 \nL 285.998937 153.399996 \nL 289.739458 148.335156 \nL 293.321841 142.93143 \nL 296.668516 137.264776 \nL 299.694534 131.434396 \nL 302.309893 125.562116 \nL 304.422883 119.789593 \nL 305.944374 114.272853 \nL 306.792925 109.174228 \nL 306.900407 104.652052 \nL 306.217555 100.849096 \nL 304.718887 97.881023 \nL 302.406363 95.826675 \nL 299.31107 94.721679 \nL 295.49266 94.556481 \nL 291.036413 95.279175 \nL 286.048204 96.802745 \nL 280.647916 99.015156 \nL 274.962175 101.790852 \nL 269.117142 105.001726 \nL 263.232147 108.526325 \nL 257.41468 112.256413 \nL 251.756965 116.100698 \nL 246.334151 119.98615 \nL 241.203916 123.857273 \nL 236.407219 127.6742 \nL 231.969822 131.410095 \nL 227.904301 135.04844 \nL 224.212263 138.580429 \nL 220.886562 142.002769 \nL 217.913384 145.315859 \nL 215.27411 148.522433 \nL 212.946922 151.626508 \nL 210.908134 154.63271 \nL 209.133269 157.545797 \nL 207.5979 160.370375 \nL 206.278278 163.110762 \nL 205.151794 165.7709 \nL 204.197285 168.354347 \nL 202.727859 173.303611 \nL 201.734877 177.980402 \nL 201.11087 182.402584 \nL 200.773815 186.585176 \nL 200.663806 190.541137 \nL 200.739509 194.281834 \nL 200.974923 197.817315 \nL 201.356685 201.156327 \nL 201.882016 204.306228 \nL 202.557322 207.272727 \nL 203.397391 210.059467 \nL 204.425151 212.667393 \nL 205.671922 215.093803 \nL 207.178134 217.330953 \nL 208.994467 219.364044 \nL 210.037939 220.296804 \nL 211.183379 221.168247 \nL 212.440739 221.973001 \nL 213.820952 222.704444 \nL 215.335999 223.354442 \nL 216.99897 223.91307 \nL 218.824129 224.368252 \nL 220.826953 224.70535 \nL 223.024163 224.906688 \nL 225.43372 224.950993 \nL 228.074781 224.812748 \nL 230.9676 224.461464 \nL 234.133332 223.860876 \nL 237.593743 222.968087 \nL 241.370749 221.732661 \nL 245.485786 220.095781 \nL 249.958875 217.989516 \nL 254.807397 215.33639 \nL 260.044438 212.049457 \nL 265.676624 208.033196 \nL 271.701359 203.185629 \nL 278.103364 197.402258 \nL 284.850504 190.582369 \nL 291.888896 182.638453 \nL 299.137456 173.50933 \nL 306.482234 163.177226 \nL 313.771181 151.68846 \nL 320.810233 139.176198 \nL 327.362195 125.882074 \nL 333.150007 112.17154 \nL 337.866288 98.535976 \nL 341.190526 85.574012 \nL 342.81443 73.946459 \nL 342.474032 64.304575 \nL 339.984713 57.200118 \nL 335.273076 52.995278 \nL 328.398144 51.796401 \nL 319.555502 53.432924 \nL 309.061366 57.490769 \nL 297.318625 63.391581 \nL 284.772008 70.494148 \nL 258.985943 85.970464 \nL 246.473007 93.46068 \nL 234.572184 100.418824 \nL 223.453195 106.717519 \nL 213.215129 112.315265 \nL 203.899275 117.228121 \nL 187.99222 125.21423 \nL 175.398334 131.201447 \nL 161.522185 137.517146 \nL 149.520495 142.715493 \nL 145.305091 144.370902 \nL 141.845633 145.534673 \nL 138.913048 146.262971 \nL 136.341813 146.592159 \nL 134.018807 146.548658 \nL 131.873631 146.156105 \nL 129.870492 145.44075 \nL 128.001294 144.435586 \nL 126.279684 143.1834 \nL 124.735522 141.738598 \nL 123.40939 140.167645 \nL 122.347028 138.547768 \nL 121.593474 136.96383 \nL 121.187248 135.50343 \nL 121.154884 134.250724 \nL 121.282746 133.725949 \nL 121.506318 133.279695 \nL 121.823741 132.918594 \nL 122.231865 132.647952 \nL 122.726234 132.471651 \nL 123.949801 132.410167 \nL 125.435907 132.735728 \nL 127.111992 133.427949 \nL 128.896857 134.448133 \nL 130.706443 135.744033 \nL 132.459294 137.254933 \nL 134.080988 138.916191 \nL 135.507285 140.662815 \nL 136.685854 142.4319 \nL 137.57678 144.163973 \nL 138.152147 145.803494 \nL 138.395073 147.298872 \nL 138.298528 148.602188 \nL 137.86426 149.668954 \nL 137.102035 150.458096 \nL 136.029271 150.932312 \nL 134.671189 151.058999 \nL 133.061381 150.811865 \nL 131.242687 150.173234 \nL 129.2682 149.137129 \nL 127.202116 147.71289 \nL 125.119987 145.928989 \nL 123.10799 143.836514 \nL 121.26072 141.511328 \nL 119.677165 139.053998 \nL 118.454661 136.586407 \nL 117.68113 134.244602 \nL 117.485451 133.16463 \nL 117.426226 132.167895 \nL 117.507887 131.270134 \nL 117.732742 130.48559 \nL 118.100798 129.826618 \nL 118.609702 129.303358 \nL 119.254726 128.923492 \nL 120.028796 128.692068 \nL 120.922652 128.611452 \nL 121.925053 128.681356 \nL 123.023005 128.898979 \nL 125.446882 129.754934 \nL 128.068276 131.115996 \nL 130.755422 132.897002 \nL 133.381396 135.001533 \nL 135.832491 137.33095 \nL 138.013553 139.790742 \nL 139.850292 142.294033 \nL 141.289021 144.762748 \nL 142.294621 147.1271 \nL 142.847567 149.324167 \nL 142.940784 151.296111 \nL 142.815484 152.180548 \nL 142.576849 152.988464 \nL 142.226375 153.713355 \nL 141.76596 154.348793 \nL 141.197891 154.888418 \nL 140.524856 155.325944 \nL 139.749963 155.655183 \nL 138.876775 155.87009 \nL 137.909376 155.964822 \nL 136.852425 155.933812 \nL 135.711248 155.771892 \nL 134.49192 155.47442 \nL 133.201364 155.03743 \nL 131.847453 154.457839 \nL 128.986412 152.864229 \nL 125.994412 150.695234 \nL 122.977578 147.982476 \nL 120.063088 144.796125 \nL 117.396815 141.251653 \nL 116.206022 139.394297 \nL 115.137094 137.512131 \nL 114.209979 135.632169 \nL 113.44378 133.783269 \nL 112.856197 131.99546 \nL 112.462942 130.299113 \nL 112.277131 128.724031 \nL 112.30872 127.29848 \nL 112.564011 126.048201 \nL 113.045258 124.995501 \nL 113.750395 124.158473 \nL 114.672941 123.550401 \nL 115.802042 123.179381 \nL 117.122723 123.048241 \nL 118.616283 123.15463 \nL 120.260846 123.491438 \nL 122.032034 124.047368 \nL 123.903661 124.80762 \nL 125.848547 125.754714 \nL 127.839239 126.869307 \nL 131.851066 129.51892 \nL 135.738921 132.59202 \nL 139.333604 135.934349 \nL 142.504311 139.411131 \nL 145.159389 142.90976 \nL 147.242231 146.337907 \nL 148.05931 148.001242 \nL 148.724486 149.619374 \nL 149.237371 151.184503 \nL 149.598418 152.68923 \nL 149.808707 154.126437 \nL 149.869799 155.489167 \nL 149.783573 156.770499 \nL 149.552126 157.963484 \nL 149.177683 159.061039 \nL 148.662547 160.055883 \nL 148.009068 160.94049 \nL 147.219644 161.707026 \nL 146.296756 162.347342 \nL 145.24302 162.852943 \nL 144.061266 163.215022 \nL 142.754646 163.424496 \nL 141.326774 163.472067 \nL 139.781879 163.348342 \nL 138.124986 163.043991 \nL 136.362124 162.549937 \nL 134.50055 161.857639 \nL 132.548993 160.959443 \nL 130.517892 159.848955 \nL 128.419679 158.521543 \nL 126.26899 156.974899 \nL 124.082915 155.209636 \nL 121.881182 153.229995 \nL 119.686273 151.04449 \nL 117.52347 148.666634 \nL 115.420794 146.115525 \nL 113.408813 143.41634 \nL 111.52026 140.600616 \nL 109.789481 137.706287 \nL 108.251717 134.777312 \nL 106.942125 131.862948 \nL 105.894677 129.01653 \nL 105.140881 126.293862 \nL 104.7084 123.751148 \nL 104.619718 121.442685 \nL 104.890796 119.418436 \nL 105.530014 117.721622 \nL 106.537333 116.386649 \nL 107.903858 115.437502 \nL 109.611837 114.886801 \nL 111.635135 114.7356 \nL 113.940138 114.973938 \nL 116.487012 115.582028 \nL 119.231311 116.53206 \nL 122.125688 117.790215 \nL 125.121695 119.318868 \nL 128.17144 121.078638 \nL 131.229101 123.03025 \nL 134.252162 125.136033 \nL 137.202349 127.360968 \nL 140.046233 129.673425 \nL 142.755549 132.045474 \nL 145.307235 134.452969 \nL 147.683258 136.875356 \nL 149.870259 139.295367 \nL 151.859095 141.698639 \nL 153.64429 144.073268 \nL 155.223469 146.409378 \nL 156.596783 148.698734 \nL 157.766355 150.934355 \nL 158.735781 153.110196 \nL 159.509668 155.220892 \nL 160.093243 157.261489 \nL 160.492009 159.227268 \nL 160.711456 161.113564 \nL 160.756848 162.915618 \nL 160.633035 164.628457 \nL 160.344337 166.246759 \nL 159.894438 167.76476 \nL 159.286351 169.176142 \nL 158.522394 170.473933 \nL 157.604209 171.650391 \nL 156.532796 172.696952 \nL 155.308591 173.604097 \nL 153.931573 174.361275 \nL 152.401376 174.956831 \nL 150.717458 175.377959 \nL 148.879296 175.610644 \nL 146.886612 175.639687 \nL 144.739649 175.448723 \nL 142.439485 175.020384 \nL 139.988408 174.336472 \nL 137.390342 173.378292 \nL 134.651315 172.12711 \nL 131.780008 170.564782 \nL 128.788335 168.674595 \nL 125.692063 166.442294 \nL 122.511459 163.857416 \nL 119.271925 160.91481 \nL 116.004582 157.616416 \nL 112.746734 153.973184 \nL 109.54219 150.007074 \nL 106.441281 145.752934 \nL 103.50053 141.260074 \nL 100.781878 136.593262 \nL 98.351381 131.832824 \nL 96.27729 127.07357 \nL 94.62752 122.422254 \nL 93.466586 117.993542 \nL 92.852112 113.904464 \nL 92.831148 110.267798 \nL 93.436658 107.184795 \nL 94.68446 104.738218 \nL 96.571078 102.98646 \nL 99.072768 101.959644 \nL 102.145951 101.658213 \nL 105.729055 102.054308 \nL 109.745672 103.095565 \nL 114.108682 104.710853 \nL 118.724896 106.817002 \nL 123.499788 109.325582 \nL 128.341859 112.149062 \nL 133.166317 115.205567 \nL 137.897793 118.422256 \nL 142.472129 121.737066 \nL 146.837182 125.099259 \nL 150.952848 128.468911 \nL 154.790435 131.815829 \nL 158.331589 135.118071 \nL 161.566959 138.360406 \nL 164.494728 141.532836 \nL 167.11915 144.629266 \nL 169.449154 147.646434 \nL 171.497084 150.583012 \nL 173.277589 153.438941 \nL 174.806681 156.214927 \nL 176.100968 158.912086 \nL 177.177021 161.531686 \nL 178.050894 164.075005 \nL 178.737758 166.543208 \nL 179.251636 168.937268 \nL 179.605221 171.257949 \nL 179.809767 173.505746 \nL 179.87502 175.680888 \nL 179.809203 177.783291 \nL 179.619018 179.812538 \nL 179.309682 181.767861 \nL 178.884965 183.648078 \nL 178.347239 185.451545 \nL 177.697532 187.176109 \nL 176.935584 188.819018 \nL 176.059897 190.376837 \nL 175.067786 191.845347 \nL 173.955428 193.219406 \nL 172.717905 194.492824 \nL 171.349255 195.65818 \nL 169.842513 196.706648 \nL 168.189775 197.627773 \nL 166.382258 198.409227 \nL 164.410384 199.036542 \nL 162.263895 199.492822 \nL 159.931986 199.758419 \nL 157.403506 199.810622 \nL 154.667195 199.623315 \nL 151.712026 199.16669 \nL 148.527631 198.407 \nL 145.104839 197.306419 \nL 141.436393 195.823072 \nL 137.517813 193.911321 \nL 133.348489 191.522409 \nL 128.932986 188.605618 \nL 124.282624 185.110071 \nL 119.417267 180.987421 \nL 114.367404 176.195548 \nL 109.176328 170.703424 \nL 103.902407 164.497248 \nL 98.621192 157.587705 \nL 93.427072 150.017989 \nL 88.434157 141.871961 \nL 83.775803 133.281142 \nL 79.602376 124.429133 \nL 76.076638 115.551341 \nL 73.366494 106.928287 \nL 71.634979 98.87092 \nL 71.027943 91.697921 \nL 71.660527 85.706549 \nL 73.603979 81.140949 \nL 76.874958 78.16339 \nL 81.429359 76.834479 \nL 87.162257 77.10708 \nL 93.914489 78.83573 \nL 101.48517 81.799461 \nL 109.648231 85.733012 \nL 118.170315 90.359406 \nL 126.827457 95.418132 \nL 135.418421 100.6848 \nL 143.773619 105.981252 \nL 159.278897 116.186677 \nL 172.695353 125.471522 \nL 178.549863 129.720842 \nL 183.842431 133.715868 \nL 188.597581 137.472538 \nL 192.849874 141.009909 \nL 196.640332 144.347597 \nL 200.013607 147.504148 \nL 203.015782 150.49619 \nL 208.089099 156.041461 \nL 212.207101 161.069459 \nL 223.12841 175.114563 \nL 224.604106 176.671611 \nL 226.121085 178.106621 \nL 227.695905 179.413361 \nL 229.343875 180.584268 \nL 231.079207 181.610377 \nL 232.915138 182.481173 \nL 234.863994 183.184506 \nL 236.937231 183.706428 \nL 239.145404 184.031095 \nL 241.498091 184.140685 \nL 244.003736 184.015301 \nL 246.669433 183.633008 \nL 249.500603 182.969872 \nL 252.500611 182.000205 \nL 255.670244 180.696906 \nL 259.0071 179.032047 \nL 262.504862 176.977733 \nL 266.152459 174.507299 \nL 269.933124 171.596894 \nL 273.823389 168.227515 \nL 277.792044 164.38753 \nL 281.799142 160.075662 \nL 285.795122 155.304326 \nL 289.720233 150.103152 \nL 293.504336 144.522434 \nL 297.067357 138.636021 \nL 300.320514 132.543104 \nL 303.168554 126.368253 \nL 305.513063 120.259091 \nL 307.256911 114.381056 \nL 308.309695 108.909171 \nL 308.593843 104.017022 \nL 308.050867 99.86395 \nL 306.647082 96.581964 \nL 304.378049 94.264195 \nL 301.270946 92.956825 \nL 297.384499 92.655957 \nL 292.806151 93.310041 \nL 287.646825 94.827344 \nL 282.033826 97.087147 \nL 276.10279 99.952603 \nL 269.989624 103.283412 \nL 263.823342 106.946304 \nL 257.720331 110.822688 \nL 251.780453 114.813014 \nL 246.084958 118.838181 \nL 240.696018 122.83875 \nL 235.657532 126.772684 \nL 230.996821 130.612388 \nL 226.726874 134.341539 \nL 222.8488 137.952186 \nL 219.354272 141.442242 \nL 216.227815 144.81346 \nL 213.448843 148.069912 \nL 210.993395 151.216892 \nL 208.835575 154.260166 \nL 206.948694 157.205489 \nL 205.306165 160.058327 \nL 203.882163 162.823704 \nL 202.6521 165.506158 \nL 200.683367 170.638084 \nL 199.236982 175.481444 \nL 198.179003 180.058122 \nL 197.402811 184.386091 \nL 196.591024 190.444719 \nL 195.873677 197.781592 \nL 194.715206 210.236453 \nL 193.958261 215.497817 \nL 193.205684 219.068203 \nL 192.222579 222.335242 \nL 191.398631 224.349337 \nL 190.404313 226.232319 \nL 189.201836 227.980597 \nL 187.745165 229.585878 \nL 185.978152 231.033096 \nL 183.832335 232.297333 \nL 181.224426 233.339264 \nL 179.716423 233.759053 \nL 178.053524 234.098482 \nL 176.219889 234.345107 \nL 174.198232 234.483721 \nL 171.969755 234.495801 \nL 169.514119 234.358841 \nL 166.809446 234.045579 \nL 163.832387 233.523112 \nL 160.558281 232.75188 \nL 156.961424 231.684558 \nL 153.015505 230.264855 \nL 148.694281 228.426308 \nL 143.972535 226.091163 \nL 138.827428 223.169519 \nL 133.240354 219.559013 \nL 127.199429 215.145393 \nL 120.702715 209.804572 \nL 113.762394 203.406862 \nL 106.409889 195.824242 \nL 98.702003 186.941755 \nL 90.727957 176.673885 \nL 82.616888 164.986654 \nL 74.54506 151.925078 \nL 66.741501 137.644157 \nL 59.490239 122.439045 \nL 53.126693 106.767022 \nL 48.025536 91.250858 \nL 44.578005 76.652183 \nL 43.157727 63.806374 \nL 44.077382 53.519108 \nL 47.541762 46.439019 \nL 53.606778 42.935859 \nL 62.155237 43.021396 \nL 72.898113 46.342737 \nL 85.404162 52.255077 \nL 99.152168 59.95148 \nL 113.593683 68.608014 \nL 128.211758 77.502817 \nL 142.564481 86.084951 \nL 156.308408 93.991458 \nL 169.203136 101.026947 \nL 181.102295 107.124529 \nL 191.937046 112.30389 \nL 201.697335 116.635392 \nL 210.414255 120.213624 \nL 218.145267 123.14001 \nL 224.96276 125.512604 \nL 230.94574 127.420928 \nL 236.174155 128.943952 \nL 244.671398 131.097281 \nL 251.008174 132.406549 \nL 257.43331 133.446877 \nL 261.949696 134.129409 \nL 262.997508 134.444923 \nL 263.467924 134.839809 \nL 263.496842 135.35234 \nL 263.200474 135.999528 \nL 262.023866 137.684251 \nL 260.603733 139.754683 \nL 259.68113 141.41193 \nL 259.048895 143.024655 \nL 258.839065 144.015208 \nL 258.820503 144.898163 \nL 259.002505 145.641854 \nL 259.386496 146.217563 \nL 259.966469 146.600196 \nL 260.729302 146.769056 \nL 261.654983 146.708816 \nL 262.716738 146.410672 \nL 263.881216 145.873653 \nL 265.108783 145.105968 \nL 266.354088 144.126288 \nL 267.567029 142.964662 \nL 268.694354 141.66287 \nL 269.681787 140.273804 \nL 270.476904 138.859748 \nL 271.032457 137.489371 \nL 271.31004 136.233506 \nL 271.283558 135.160125 \nL 270.942173 134.32904 \nL 270.292178 133.787066 \nL 269.357427 133.564377 \nL 268.178171 133.672597 \nL 266.808367 134.104836 \nL 265.311877 134.837467 \nL 263.757931 135.833231 \nL 262.216554 137.044982 \nL 260.754494 138.419471 \nL 259.43196 139.900664 \nL 258.300381 141.432339 \nL 257.401197 142.95986 \nL 256.765531 144.431244 \nL 256.41445 145.797687 \nL 256.359612 147.013678 \nL 256.604008 148.037139 \nL 257.1426 148.8295 \nL 257.962742 149.35608 \nL 259.044265 149.586849 \nL 260.35928 149.497625 \nL 261.871724 149.07178 \nL 263.536818 148.302528 \nL 265.300636 147.195565 \nL 267.100021 145.771888 \nL 268.86324 144.070339 \nL 270.511651 142.149329 \nL 271.962676 140.086987 \nL 273.134198 137.979109 \nL 273.950317 135.9344 \nL 274.347967 134.066972 \nL 274.375329 133.234551 \nL 274.283626 132.486789 \nL 274.071424 131.835089 \nL 273.739139 131.289334 \nL 273.289073 130.857665 \nL 272.725422 130.546273 \nL 272.054227 130.35932 \nL 271.283262 130.298849 \nL 270.421876 130.364837 \nL 268.471905 130.866299 \nL 266.302271 131.826676 \nL 264.020638 133.186359 \nL 261.735779 134.870955 \nL 259.550069 136.798819 \nL 257.553794 138.887241 \nL 255.821748 141.056645 \nL 254.411964 143.232937 \nL 253.36614 145.348248 \nL 252.71123 147.340627 \nL 252.461511 149.153153 \nL 252.620742 150.732885 \nL 252.85245 151.419759 \nL 253.1839 152.029917 \nL 253.613279 152.557519 \nL 254.138332 152.996876 \nL 254.756346 153.342463 \nL 255.464144 153.588975 \nL 256.258039 153.731347 \nL 257.133804 153.764851 \nL 259.111012 153.488402 \nL 261.348991 152.731743 \nL 263.788428 151.479412 \nL 266.355477 149.73369 \nL 268.960339 147.520743 \nL 271.497119 144.896681 \nL 273.845741 141.95238 \nL 275.8766 138.815183 \nL 277.458568 135.645699 \nL 278.042485 134.105926 \nL 278.470031 132.628258 \nL 278.729679 131.236817 \nL 278.81219 129.954906 \nL 278.711007 128.804331 \nL 278.422578 127.804694 \nL 277.9466 126.972783 \nL 277.286176 126.322045 \nL 276.447826 125.862202 \nL 275.441417 125.599035 \nL 274.279922 125.534342 \nL 272.979111 125.666044 \nL 271.557126 125.988497 \nL 270.033972 126.492854 \nL 268.430995 127.167612 \nL 265.074165 128.972263 \nL 261.662884 131.278189 \nL 258.36156 133.952946 \nL 255.311588 136.868604 \nL 252.625307 139.9094 \nL 250.384755 142.974615 \nL 248.644053 145.978203 \nL 247.433954 148.846299 \nL 247.032434 150.208995 \nL 246.767253 151.513998 \nL 246.638048 152.754051 \nL 246.643942 153.922055 \nL 246.783636 155.011001 \nL 247.055504 156.013891 \nL 247.457631 156.923692 \nL 247.987879 157.733286 \nL 248.643878 158.435435 \nL 249.423018 159.022766 \nL 250.322426 159.487778 \nL 251.338899 159.822858 \nL 252.468827 160.020335 \nL 253.708106 160.072563 \nL 255.052005 159.97199 \nL 256.495034 159.711343 \nL 258.030798 159.283796 \nL 259.651817 158.683191 \nL 261.34937 157.904309 \nL 263.113294 156.943216 \nL 264.931837 155.797614 \nL 266.791471 154.467273 \nL 268.67676 152.954491 \nL 270.570269 151.264539 \nL 272.452499 149.406162 \nL 274.301895 147.392012 \nL 276.094973 145.239033 \nL 277.806495 142.96874 \nL 279.409814 140.607334 \nL 280.877302 138.185628 \nL 282.180936 135.73872 \nL 283.293036 133.305409 \nL 284.187059 130.927306 \nL 284.838534 128.647639 \nL 285.226051 126.509875 \nL 285.33219 124.556093 \nL 285.144458 122.825314 \nL 284.656047 121.351895 \nL 283.86641 120.164052 \nL 282.781612 119.282707 \nL 281.41435 118.720715 \nL 279.7837 118.482598 \nL 277.914539 118.564712 \nL 275.836706 118.955903 \nL 273.583976 119.638511 \nL 271.192842 120.589676 \nL 268.701284 121.782729 \nL 266.147517 123.188671 \nL 263.568879 124.777487 \nL 261.000828 126.519326 \nL 258.476139 128.385443 \nL 256.024319 130.348898 \nL 253.671222 132.384981 \nL 251.438871 134.471479 \nL 249.345452 136.588706 \nL 247.405446 138.719412 \nL 245.629898 140.848619 \nL 244.026723 142.963368 \nL 242.601109 145.052454 \nL 241.355907 147.106129 \nL 240.29205 149.115826 \nL 239.408934 151.073925 \nL 238.704795 152.973504 \nL 238.177022 154.808126 \nL 237.822465 156.57166 \nL 237.637674 158.258129 \nL 237.619109 159.861539 \nL 237.7633 161.375777 \nL 238.06697 162.794482 \nL 238.527131 164.110953 \nL 239.141119 165.318038 \nL 239.906628 166.408075 \nL 240.821682 167.372777 \nL 241.884602 168.203206 \nL 243.093923 168.889706 \nL 244.448285 169.421854 \nL 245.946315 169.788472 \nL 247.586442 169.977613 \nL 249.366708 169.976651 \nL 251.284524 169.772362 \nL 253.33641 169.351081 \nL 255.517684 168.69898 \nL 257.82211 167.802377 \nL 260.241529 166.648175 \nL 262.765451 165.224472 \nL 265.380613 163.521247 \nL 268.070552 161.531218 \nL 270.815184 159.250862 \nL 273.590397 156.681548 \nL 276.367743 153.830779 \nL 279.114236 150.713455 \nL 281.792304 147.353109 \nL 284.359975 143.782966 \nL 286.771307 140.046688 \nL 288.977191 136.198665 \nL 290.926472 132.303625 \nL 292.567483 128.435466 \nL 293.849926 124.675177 \nL 294.72706 121.107894 \nL 295.158099 117.819062 \nL 295.1106 114.890121 \nL 294.562767 112.393888 \nL 293.505308 110.390253 \nL 291.942717 108.92259 \nL 289.893824 108.015335 \nL 287.39142 107.673017 \nL 284.481059 107.880942 \nL 281.218998 108.60728 \nL 277.669579 109.806379 \nL 273.902166 111.42274 \nL 269.988045 113.395297 \nL 265.997409 115.661349 \nL 261.996777 118.159949 \nL 258.046866 120.834493 \nL 254.201128 123.634431 \nL 250.504845 126.516142 \nL 246.994795 129.443141 \nL 243.699399 132.385756 \nL 240.639206 135.32047 \nL 237.827675 138.229104 \nL 235.272072 141.097898 \nL 232.974466 143.916644 \nL 230.932705 146.677883 \nL 229.141373 149.376242 \nL 227.592651 152.007848 \nL 226.277087 154.569864 \nL 225.184254 157.060154 \nL 224.303313 159.476973 \nL 223.623466 161.81877 \nL 223.134321 164.084013 \nL 222.826178 166.271076 \nL 222.690237 168.37812 \nL 222.718749 170.402998 \nL 222.90512 172.3432 \nL 223.24397 174.195736 \nL 223.731159 175.957082 \nL 224.363791 177.623074 \nL 225.140185 179.188824 \nL 226.059849 180.648612 \nL 227.123417 181.995761 \nL 228.332588 183.222506 \nL 229.690037 184.319856 \nL 231.199324 185.277424 \nL 232.864778 186.083288 \nL 234.691362 186.723801 \nL 236.684498 187.183406 \nL 238.849871 187.444486 \nL 241.193184 187.48722 \nL 243.719858 187.289462 \nL 246.434669 186.82669 \nL 249.341296 186.072057 \nL 252.441795 184.996555 \nL 255.735947 183.56937 \nL 259.220502 181.758487 \nL 262.888303 179.531593 \nL 266.727252 176.857398 \nL 270.719208 173.707412 \nL 274.838746 170.05828 \nL 279.051884 165.894692 \nL 283.314873 161.212877 \nL 287.57308 156.024602 \nL 291.760207 150.361431 \nL 295.797969 144.278936 \nL 299.596524 137.86028 \nL 303.055849 131.218442 \nL 306.068304 124.496372 \nL 308.522557 117.864087 \nL 310.30888 111.512244 \nL 311.325664 105.641795 \nL 311.486732 100.450345 \nL 310.728799 96.116356 \nL 309.018187 92.783249 \nL 306.355815 90.54589 \nL 302.779603 89.441814 \nL 298.363712 89.449034 \nL 293.214473 90.490733 \nL 287.463465 92.446074 \nL 281.258573 95.165064 \nL 274.754208 98.484565 \nL 268.101952 102.243177 \nL 261.44253 106.292832 \nL 254.899821 110.506425 \nL 248.577154 114.781289 \nL 242.555755 119.03943 \nL 236.894996 123.225343 \nL 231.633971 127.302525 \nL 226.793923 131.24952 \nL 222.381101 135.056103 \nL 218.389698 138.719897 \nL 214.804647 142.243662 \nL 211.60414 145.633212 \nL 208.761798 148.895913 \nL 206.248469 152.039649 \nL 204.03367 155.072195 \nL 202.086703 158.000812 \nL 200.377488 160.832083 \nL 198.877163 163.57184 \nL 196.396048 168.796497 \nL 194.448276 173.707829 \nL 192.87017 178.330434 \nL 189.720966 188.732732 \nL 187.910738 194.234085 \nL 186.585696 197.602856 \nL 185.093565 200.730236 \nL 183.373396 203.607455 \nL 181.361394 206.217523 \nL 180.22446 207.414102 \nL 178.987774 208.532214 \nL 177.641216 209.56588 \nL 176.173969 210.507781 \nL 174.574449 211.349049 \nL 172.830253 212.078968 \nL 170.928131 212.684678 \nL 168.853964 213.150783 \nL 166.592784 213.458953 \nL 164.128827 213.587446 \nL 161.445644 213.510577 \nL 158.526269 213.198167 \nL 155.353505 212.614948 \nL 151.910308 211.719992 \nL 148.180322 210.466179 \nL 144.148632 208.7998 \nL 139.80274 206.660401 \nL 135.133848 203.981016 \nL 130.138488 200.689 \nL 124.820568 196.707721 \nL 119.193877 191.959467 \nL 113.285057 186.369912 \nL 107.137022 179.874583 \nL 100.812723 172.427596 \nL 94.398999 164.0129 \nL 88.010185 154.657717 \nL 81.790827 144.447345 \nL 75.916723 133.539651 \nL 70.593308 122.176363 \nL 66.050216 110.687444 \nL 62.531172 99.484084 \nL 60.278647 89.036693 \nL 59.513692 79.836185 \nL 60.412747 72.341167 \nL 63.084349 66.918445 \nL 67.550037 63.789277 \nL 73.733844 62.994652 \nL 81.463446 64.390112 \nL 90.484097 67.672729 \nL 100.483149 72.43326 \nL 111.120607 78.219841 \nL 122.059981 84.597517 \nL 143.664543 97.713236 \nL 172.349679 115.199232 \nL 200.474179 132.302501 \nL 210.484342 138.662569 \nL 218.380966 143.966462 \nL 224.65113 148.435176 \nL 235.960579 156.741916 \nL 239.593975 159.042937 \nL 241.34171 159.975702 \nL 243.073126 160.759037 \nL 244.806516 161.388361 \nL 246.557264 161.858184 \nL 248.338022 162.162271 \nL 250.158834 162.293812 \nL 252.027235 162.245611 \nL 253.948304 162.010287 \nL 255.924673 161.580542 \nL 257.956499 160.949464 \nL 260.041394 160.110853 \nL 262.174346 159.059677 \nL 264.347609 157.792547 \nL 266.550579 156.308246 \nL 268.769708 154.60835 \nL 270.988404 152.697872 \nL 273.187002 150.585916 \nL 275.342815 148.286325 \nL 277.430242 145.818241 \nL 279.421048 143.206576 \nL 281.284751 140.482239 \nL 282.989192 137.682148 \nL 284.501294 134.848885 \nL 285.787987 132.02996 \nL 286.817295 129.276674 \nL 287.559562 126.642565 \nL 287.988779 124.181497 \nL 288.083844 121.945484 \nL 287.829828 119.982387 \nL 287.218997 118.333713 \nL 286.251594 117.032628 \nL 284.936241 116.102486 \nL 283.28997 115.555922 \nL 281.337775 115.394589 \nL 279.111792 115.6097 \nL 276.650085 116.183118 \nL 273.995197 117.088926 \nL 271.192508 118.295398 \nL 268.288568 119.766961 \nL 265.329494 121.466193 \nL 262.359551 123.355564 \nL 259.419972 125.398833 \nL 256.548027 127.562149 \nL 253.776439 129.814714 \nL 251.133042 132.129188 \nL 248.640725 134.481739 \nL 246.317566 136.851941 \nL 244.177142 139.222517 \nL 242.228958 141.578959 \nL 240.47895 143.909151 \nL 238.930022 146.202969 \nL 237.582581 148.451873 \nL 236.435071 150.648591 \nL 235.484449 152.786781 \nL 234.726637 154.860771 \nL 234.156895 156.865334 \nL 233.770163 158.79548 \nL 233.561335 160.646288 \nL 233.525476 162.412751 \nL 233.658002 164.089658 \nL 233.954806 165.671467 \nL 234.412353 167.1522 \nL 235.027715 168.525344 \nL 235.798601 169.783729 \nL 236.72334 170.919471 \nL 237.800829 171.923843 \nL 239.030472 172.787206 \nL 240.412063 173.498934 \nL 241.945672 174.047354 \nL 243.63146 174.419676 \nL 245.469509 174.601997 \nL 247.459559 174.579332 \nL 249.600754 174.335664 \nL 251.891305 173.8541 \nL 254.328124 173.117126 \nL 256.90641 172.106948 \nL 259.619161 170.805964 \nL 262.456658 169.19748 \nL 265.405903 167.266516 \nL 268.450023 165.000907 \nL 271.567653 162.392605 \nL 274.732379 159.439177 \nL 277.912209 156.145517 \nL 281.069209 152.525675 \nL 284.159272 148.604666 \nL 287.132243 144.420167 \nL 289.932321 140.023784 \nL 292.49899 135.481743 \nL 294.768403 130.874643 \nL 296.675362 126.296067 \nL 298.155844 121.849815 \nL 299.149994 117.645741 \nL 299.605457 113.794321 \nL 299.480791 110.4003 \nL 298.748656 107.555943 \nL 297.398472 105.334864 \nL 295.438171 103.786892 \nL 292.894795 102.934981 \nL 289.813787 102.774466 \nL 286.256975 103.274778 \nL 282.299447 104.383334 \nL 278.025567 106.031045 \nL 273.524599 108.138574 \nL 268.886359 110.622495 \nL 264.197212 113.400814 \nL 259.536805 116.397173 \nL 254.975623 119.54377 \nL 250.573478 122.78286 \nL 246.378833 126.067129 \nL 242.428865 129.359231 \nL 238.750085 132.630727 \nL 235.359377 135.860758 \nL 232.265253 139.034644 \nL 229.469232 142.142535 \nL 226.967197 145.178196 \nL 224.7507 148.138036 \nL 222.808133 151.020301 \nL 221.125766 153.824427 \nL 219.688621 156.550603 \nL 218.4812 159.199434 \nL 217.488066 161.771676 \nL 216.694302 164.268105 \nL 216.085857 166.689386 \nL 215.649792 169.03601 \nL 215.37446 171.308252 \nL 215.249611 173.506095 \nL 215.266461 175.629231 \nL 215.417704 177.676996 \nL 215.697518 179.64837 \nL 216.101534 181.541878 \nL 216.626799 183.355588 \nL 217.271731 185.086997 \nL 218.036071 186.732988 \nL 218.920822 188.289713 \nL 219.928206 189.752506 \nL 221.061601 191.11573 \nL 222.325492 192.372643 \nL 223.725412 193.515239 \nL 225.26788 194.534043 \nL 226.960327 195.4179 \nL 228.811016 196.153754 \nL 230.82893 196.726359 \nL 233.023634 197.118035 \nL 235.405114 197.308351 \nL 237.983536 197.273855 \nL 240.76897 196.987793 \nL 243.770992 196.419888 \nL 246.998237 195.536192 \nL 250.457764 194.299085 \nL 254.154316 192.667449 \nL 258.089389 190.597175 \nL 262.260091 188.042051 \nL 266.657803 184.955192 \nL 271.266609 181.291202 \nL 276.061501 177.009118 \nL 281.006454 172.07644 \nL 286.052378 166.474139 \nL 291.135175 160.202792 \nL 296.174063 153.289486 \nL 301.070486 145.795081 \nL 305.70802 137.820995 \nL 309.953674 129.514263 \nL 313.661057 121.069324 \nL 316.67585 112.724915 \nL 318.843625 104.754532 \nL 320.019989 97.449814 \nL 320.082288 91.097375 \nL 318.941771 85.951596 \nL 316.554553 82.207187 \nL 312.929537 79.976725 \nL 308.131625 79.277939 \nL 302.279298 80.033824 \nL 295.536394 82.085804 \nL 288.099327 85.217066 \nL 280.181592 89.180861 \nL 271.997894 93.728291 \nL 263.750106 98.630879 \nL 255.616502 103.695276 \nL 247.745036 108.770027 \nL 233.214618 118.549956 \nL 226.689334 123.14139 \nL 220.700278 127.501339 \nL 215.251757 131.627292 \nL 210.331374 135.527015 \nL 205.914346 139.214105 \nL 201.967265 142.704782 \nL 198.451213 146.015726 \nL 195.324252 149.162766 \nL 192.543342 152.16013 \nL 190.065758 155.020129 \nL 185.856982 160.367352 \nL 182.393058 165.264789 \nL 175.360171 175.720098 \nL 172.684211 179.191387 \nL 171.2974 180.765346 \nL 169.856369 182.225269 \nL 168.346183 183.565028 \nL 166.752754 184.777188 \nL 165.062696 185.852894 \nL 163.263226 186.781716 \nL 161.342081 187.551479 \nL 159.287508 188.1481 \nL 157.088272 188.5554 \nL 154.733745 188.754929 \nL 152.214035 188.725826 \nL 149.520217 188.444711 \nL 146.64463 187.88564 \nL 143.581284 187.020157 \nL 140.326366 185.817508 \nL 136.878892 184.245065 \nL 133.241481 182.269 \nL 129.421283 179.85534 \nL 125.431034 176.971458 \nL 121.290275 173.588089 \nL 117.026626 169.681955 \nL 112.677148 165.239049 \nL 108.289607 160.258528 \nL 103.923598 154.757107 \nL 99.651304 148.773704 \nL 95.557648 142.3739 \nL 91.739618 135.653506 \nL 88.304519 128.740541 \nL 85.366819 121.794539 \nL 83.043562 115.002445 \nL 81.448265 108.570396 \nL 80.683623 102.711356 \nL 80.833511 97.629453 \nL 81.95509 93.502486 \nL 84.072088 90.465241 \nL 87.170242 88.59634 \nL 91.195852 87.911109 \nL 96.057855 88.362003 \nL 101.633426 89.846491 \nL 107.776369 92.220831 \nL 114.327237 95.317184 \nL 121.123849 98.960867 \nL 128.010842 102.9852 \nL 134.847441 107.242319 \nL 141.512829 111.609344 \nL 147.909043 115.990367 \nL 153.961705 120.31527 \nL 159.618995 124.536492 \nL 164.849456 128.624828 \nL 169.639104 132.565072 \nL 173.988286 136.352063 \nL 177.908581 139.987376 \nL 181.419948 143.476699 \nL 184.548223 146.827951 \nL 187.32302 150.049936 \nL 189.776029 153.151483 \nL 191.939672 156.140928 \nL 193.846093 159.02584 \nL 195.526423 161.812912 \nL 198.325415 167.116005 \nL 200.55053 172.087347 \nL 202.383155 176.753606 \nL 207.652296 190.898385 \nL 209.246387 194.338609 \nL 211.027589 197.504947 \nL 213.068783 200.381473 \nL 214.210033 201.703138 \nL 215.444601 202.941143 \nL 216.78266 204.089738 \nL 218.234886 205.141898 \nL 219.812538 206.089124 \nL 221.527504 206.921188 \nL 223.392349 207.625849 \nL 225.420324 208.18853 \nL 227.625345 208.591956 \nL 230.021946 208.815726 \nL 232.625165 208.83588 \nL 235.450373 208.624418 \nL 238.513017 208.148819 \nL 241.828235 207.371563 \nL 245.410364 206.249734 \nL 249.27225 204.734742 \nL 253.424341 202.772271 \nL 257.873544 200.302586 \nL 262.621764 197.261377 \nL 267.664075 193.581341 \nL 272.986572 189.194806 \nL 278.563776 184.03766 \nL 284.355694 178.054921 \nL 290.304658 171.208198 \nL 296.33208 163.485102 \nL 302.335479 154.910419 \nL 308.186243 145.55831 \nL 313.728829 135.56424 \nL 318.782122 125.13439 \nL 323.143896 114.549558 \nL 326.599108 104.160322 \nL 328.932391 94.370388 \nL 329.944537 85.606622 \nL 329.471739 78.277433 \nL 327.405215 72.724627 \nL 323.708109 69.177566 \nL 318.426104 67.720274 \nL 311.688938 68.280188 \nL 303.70161 70.642386 \nL 294.726263 74.486092 \nL 285.057856 79.434198 \nL 274.997962 85.103892 \nL 264.831094 91.148037 \nL 245.127878 103.291552 \nL 219.459787 119.441749 \nL 205.700934 128.312244 \nL 194.571 135.80876 \nL 185.72367 142.186035 \nL 178.71888 147.673008 \nL 173.112657 152.436511 \nL 160.951081 163.199645 \nL 157.499592 165.677334 \nL 155.768874 166.696512 \nL 154.009598 167.561118 \nL 152.205898 168.263557 \nL 150.344165 168.795109 \nL 148.412945 169.146018 \nL 146.402884 169.305563 \nL 144.306721 169.26219 \nL 142.119337 169.003672 \nL 139.837863 168.517357 \nL 137.461833 167.790457 \nL 134.993394 166.810445 \nL 132.437571 165.565598 \nL 129.802561 164.045604 \nL 127.100061 162.242375 \nL 124.345621 160.150956 \nL 121.558947 157.770588 \nL 118.764213 155.105861 \nL 115.990252 152.167989 \nL 113.270621 148.976001 \nL 110.643535 145.557918 \nL 108.151491 141.951622 \nL 105.840674 138.205391 \nL 103.75998 134.377871 \nL 101.959707 130.537349 \nL 100.489866 126.760185 \nL 99.398169 123.128371 \nL 98.727779 119.726219 \nL 98.514924 116.63638 \nL 98.786579 113.935457 \nL 99.558394 111.689568 \nL 100.833125 109.950479 \nL 102.599683 108.752504 \nL 104.833014 108.110884 \nL 107.494831 108.021499 \nL 110.53521 108.462193 \nL 113.894841 109.395401 \nL 117.507811 110.771703 \nL 121.304666 112.533901 \nL 125.215386 114.621012 \nL 129.172209 116.971953 \nL 133.111938 119.528538 \nL 136.977748 122.237574 \nL 140.720383 125.052199 \nL 144.298789 127.932454 \nL 147.68023 130.845243 \nL 150.839999 133.763881 \nL 153.760805 136.667372 \nL 156.431951 139.539563 \nL 158.848417 142.368254 \nL 161.009881 145.144419 \nL 162.919765 147.861434 \nL 164.584347 150.514479 \nL 166.01194 153.100021 \nL 167.21219 155.615404 \nL 168.195464 158.058532 \nL 168.972344 160.42761 \nL 169.553215 162.720951 \nL 169.947946 164.936852 \nL 170.165632 167.07345 \nL 170.214421 169.128631 \nL 170.101375 171.099936 \nL 169.832396 172.984479 \nL 169.412177 174.778869 \nL 168.844188 176.479132 \nL 168.130685 178.080593 \nL 167.272736 179.577801 \nL 166.270274 180.964381 \nL 165.122152 182.232941 \nL 163.826224 183.374924 \nL 162.37943 184.380454 \nL 160.777918 185.238189 \nL 159.017155 185.935127 \nL 157.092102 186.456471 \nL 154.9974 186.785454 \nL 152.727596 186.903176 \nL 150.277422 186.78852 \nL 147.64215 186.418053 \nL 144.817993 185.766071 \nL 141.802612 184.804715 \nL 138.59572 183.504285 \nL 135.19979 181.833755 \nL 131.620883 179.761561 \nL 127.869599 177.256797 \nL 123.962158 174.290784 \nL 119.921557 170.839205 \nL 115.778801 166.884785 \nL 111.574111 162.420508 \nL 107.358044 157.453363 \nL 103.192336 152.008427 \nL 99.150369 146.132997 \nL 95.316968 139.900247 \nL 91.787374 133.411883 \nL 88.665061 126.7989 \nL 86.058362 120.219763 \nL 84.075708 113.855251 \nL 82.819641 107.899588 \nL 82.379904 102.548218 \nL 82.826183 97.983044 \nL 84.201278 94.356815 \nL 86.515647 91.779149 \nL 89.744167 90.306309 \nL 93.82586 89.936813 \nL 98.666747 90.613785 \nL 104.145721 92.233467 \nL 110.122638 94.65845 \nL 116.447628 97.733006 \nL 122.970428 101.298032 \nL 129.548735 105.203536 \nL 136.054724 109.317425 \nL 142.379497 113.530354 \nL 148.435321 117.757025 \nL 154.15601 121.934875 \nL 159.495832 126.021133 \nL 164.427423 129.989143 \nL 168.939157 133.824538 \nL 173.032281 137.521871 \nL 176.718137 141.081695 \nL 180.015592 144.508317 \nL 182.94879 147.808142 \nL 185.545256 150.988499 \nL 187.834351 154.056873 \nL 189.84606 157.020426 \nL 191.610064 159.885746 \nL 193.155072 162.658761 \nL 194.508346 165.34468 \nL 196.739884 170.472894 \nL 198.485697 175.30017 \nL 199.896065 179.849091 \nL 202.700882 190.107676 \nL 204.310111 195.552182 \nL 205.488041 198.89807 \nL 206.815121 202.017528 \nL 208.346181 204.905586 \nL 210.138854 207.55061 \nL 211.152805 208.775942 \nL 212.256534 209.931843 \nL 213.45931 211.013718 \nL 214.771092 212.015893 \nL 216.202597 212.931403 \nL 217.765366 213.751767 \nL 219.471819 214.466718 \nL 221.335298 215.063883 \nL 223.370088 215.528401 \nL 225.59142 215.842514 \nL 228.015429 215.985068 \nL 230.659072 215.930976 \nL 233.539969 215.650627 \nL 236.676176 215.109253 \nL 240.085817 214.266282 \nL 243.786593 213.074719 \nL 247.795092 211.480636 \nL 252.125849 209.422845 \nL 256.790119 206.832939 \nL 261.79429 203.635859 \nL 267.137873 199.751305 \nL 272.810992 195.096286 \nL 278.791386 189.589257 \nL 285.040869 183.156272 \nL 291.501379 175.739562 \nL 298.090774 167.30885 \nL 304.698735 157.875274 \nL 311.183381 147.50729 \nL 317.369359 136.347005 \nL 323.048497 124.624149 \nL 327.984213 112.663781 \nL 331.920876 100.882848 \nL 334.598793 89.770985 \nL 335.774763 79.85289 \nL 335.24683 71.633492 \nL 332.879969 65.533083 \nL 328.628532 61.825064 \nL 322.550355 60.591789 \nL 314.808412 61.711583 \nL 305.658389 64.882132 \nL 295.423803 69.674371 \nL 284.463328 75.602276 \nL 273.136726 82.190686 \nL 250.660998 95.788428 \nL 229.997153 108.279387 \nL 204.478627 123.340195 \nL 185.78914 134.33569 \nL 176.522441 139.984677 \nL 169.222618 144.640718 \nL 154.572783 154.307285 \nL 150.933152 156.334573 \nL 149.203148 157.133039 \nL 147.503587 157.785361 \nL 145.81658 158.288279 \nL 144.127319 158.637791 \nL 142.423879 158.829368 \nL 140.697067 158.85813 \nL 138.940288 158.719096 \nL 137.149484 158.407397 \nL 135.323063 157.918545 \nL 133.461888 157.248725 \nL 131.569271 156.395137 \nL 129.650996 155.356384 \nL 127.715339 154.132865 \nL 125.773079 152.72723 \nL 123.837514 151.144817 \nL 121.924408 149.394148 \nL 120.051908 147.487323 \nL 118.240417 145.440418 \nL 116.512325 143.273773 \nL 114.891686 141.012114 \nL 113.40378 138.684519 \nL 112.074522 136.324186 \nL 110.929801 133.96788 \nL 109.994663 131.655177 \nL 109.292455 129.427415 \nL 108.843884 127.3264 \nL 108.666095 125.392933 \nL 108.771779 123.665262 \nL 109.168419 122.177538 \nL 109.85767 120.958397 \nL 110.834994 120.029804 \nL 112.089543 119.406235 \nL 113.604362 119.094289 \nL 115.35681 119.092756 \nL 117.31932 119.393089 \nL 119.460318 119.980267 \nL 121.745313 120.833948 \nL 124.138072 121.929758 \nL 126.601782 123.240626 \nL 129.100156 124.738107 \nL 131.598424 126.393533 \nL 134.064131 128.178941 \nL 136.46777 130.067834 \nL 138.783194 132.035674 \nL 140.987868 134.06016 \nL 143.062911 136.121362 \nL 144.993023 138.20167 \nL 146.766283 140.285673 \nL 148.37386 142.359944 \nL 149.809663 144.41281 \nL 151.069978 146.43407 \nL 152.153068 148.414741 \nL 153.058814 150.34682 \nL 153.788341 152.223043 \nL 154.343712 154.036694 \nL 154.727619 155.781394 \nL 154.943154 157.45097 \nL 154.993578 159.039284 \nL 154.882168 160.540103 \nL 154.61208 161.947007 \nL 154.186256 163.253261 \nL 153.607368 164.451738 \nL 152.877791 165.534826 \nL 151.99962 166.494361 \nL 150.974692 167.321562 \nL 149.804665 168.006981 \nL 148.491119 168.540466 \nL 147.035672 168.911171 \nL 145.440152 169.107549 \nL 143.706778 169.117435 \nL 141.838392 168.92814 \nL 139.83871 168.526613 \nL 137.712623 167.899681 \nL 135.466519 167.034385 \nL 133.108652 165.918405 \nL 130.64951 164.540612 \nL 128.102249 162.891743 \nL 125.483064 160.965216 \nL 122.811622 158.758093 \nL 120.111399 156.272136 \nL 117.409991 153.514959 \nL 114.739262 150.501213 \nL 112.13541 147.253719 \nL 109.638758 143.804457 \nL 107.293331 140.195232 \nL 105.146103 136.477898 \nL 103.245945 132.714025 \nL 101.64217 128.973787 \nL 100.382771 125.334046 \nL 99.512391 121.875597 \nL 99.070074 118.679658 \nL 99.087023 115.823874 \nL 99.584474 113.378046 \nL 100.571922 111.400091 \nL 102.045899 109.932717 \nL 103.989427 109.000991 \nL 106.372273 108.611419 \nL 109.152047 108.752334 \nL 112.27603 109.395775 \nL 115.683584 110.500329 \nL 119.308972 112.014839 \nL 123.084264 113.882259 \nL 126.942165 116.043378 \nL 130.818495 118.440068 \nL 134.654264 121.017802 \nL 138.397119 123.727384 \nL 142.002299 126.525916 \nL 145.433036 129.377111 \nL 148.660494 132.251099 \nL 151.663378 135.123887 \nL 154.427255 137.976648 \nL 156.943732 140.794883 \nL 159.209539 143.567626 \nL 161.225605 146.286667 \nL 162.996147 148.945927 \nL 164.527855 151.540878 \nL 165.829124 154.068087 \nL 166.909429 156.524864 \nL 167.778754 158.908978 \nL 168.447144 161.218412 \nL 168.924335 163.451206 \nL 169.21947 165.605326 \nL 169.340878 167.678525 \nL 169.295917 169.668272 \nL 169.090861 171.57164 \nL 168.730841 173.385231 \nL 168.219805 175.105094 \nL 167.560524 176.726615 \nL 166.754596 178.244429 \nL 165.802499 179.652303 \nL 164.703632 180.943018 \nL 163.456403 182.108246 \nL 162.058307 183.138383 \nL 160.506031 184.022436 \nL 158.795586 184.747838 \nL 156.92246 185.300302 \nL 154.881807 185.66365 \nL 152.668667 185.819704 \nL 150.278238 185.748165 \nL 147.706214 185.426547 \nL 144.949172 184.830199 \nL 142.005058 183.932463 \nL 138.873762 182.704926 \nL 135.557797 181.117923 \nL 132.063071 179.141296 \nL 128.399809 176.745475 \nL 124.583554 173.902982 \nL 120.636265 170.59042 \nL 116.587489 166.790938 \nL 112.475504 162.497257 \nL 108.348361 157.715167 \nL 104.264725 152.467342 \nL 100.294332 146.797205 \nL 96.517841 140.772448 \nL 93.025931 134.48758 \nL 89.917364 128.064906 \nL 87.295887 121.653044 \nL 85.265894 115.422517 \nL 83.926883 109.557858 \nL 83.367042 104.246556 \nL 83.656389 99.665443 \nL 84.84026 95.966177 \nL 86.933888 93.261662 \nL 89.918988 91.615807 \nL 93.743 91.03837 \nL 98.321256 91.485858 \nL 103.542024 92.86853 \nL 109.273799 95.061885 \nL 115.373918 97.920785 \nL 121.697458 101.293656 \nL 128.105338 105.034813 \nL 134.470972 109.013542 \nL 140.684911 113.119546 \nL 146.657476 117.265023 \nL 152.319544 121.38402 \nL 157.621859 125.430065 \nL 162.533284 129.372896 \nL 167.038418 133.194916 \nL 171.134943 136.887898 \nL 174.830952 140.450148 \nL 178.142441 143.884212 \nL 181.091076 147.195139 \nL 183.702291 150.389256 \nL 186.003712 153.473331 \nL 188.023902 156.454023 \nL 189.79139 159.33759 \nL 191.333951 162.129737 \nL 192.678094 164.835555 \nL 194.868938 170.005685 \nL 196.540988 174.877851 \nL 197.841201 179.47527 \nL 199.347687 185.895603 \nL 202.184906 198.883017 \nL 203.074727 202.122618 \nL 204.081193 205.162805 \nL 205.246375 208.004421 \nL 206.615025 210.644192 \nL 208.237015 213.073242 \nL 210.169675 215.274898 \nL 211.273035 216.282374 \nL 212.480126 217.22158 \nL 213.801252 218.086628 \nL 215.247619 218.870279 \nL 216.831401 219.563688 \nL 218.565804 220.156115 \nL 220.465106 220.634558 \nL 222.544698 220.983338 \nL 224.821086 221.18362 \nL 227.311863 221.212851 \nL 230.035631 221.044144 \nL 233.011843 220.645575 \nL 236.260572 219.979443 \nL 239.802139 219.001474 \nL 243.65658 217.660068 \nL 247.842902 215.895611 \nL 252.378058 213.640023 \nL 257.275593 210.816658 \nL 262.54386 207.340838 \nL 268.183742 203.121319 \nL 274.185783 198.063129 \nL 280.526719 192.072289 \nL 287.165336 185.06296 \nL 294.037794 176.96761 \nL 301.052657 167.750541 \nL 308.085956 157.424737 \nL 314.977109 146.071215 \nL 321.526634 133.858852 \nL 327.497024 121.061192 \nL 332.618294 108.064957 \nL 336.599633 95.364082 \nL 339.148124 83.533271 \nL 339.994185 73.178212 \nL 338.921607 64.865051 \nL 335.798185 59.039849 \nL 330.600878 55.955705 \nL 323.42938 55.627692 \nL 314.503437 57.830567 \nL 304.14294 62.142026 \nL 292.734001 68.019422 \nL 280.688151 74.888164 \nL 256.229686 89.579885 \nL 233.2942 103.248656 \nL 222.888912 109.253753 \nL 204.620365 119.422089 \nL 189.763726 127.36337 \nL 151.198458 147.536886 \nL 147.326204 149.332997 \nL 143.946137 150.602247 \nL 140.866594 151.36278 \nL 139.395675 151.554041 \nL 137.953701 151.619314 \nL 136.53153 151.55846 \nL 135.122633 151.371456 \nL 133.722906 151.058624 \nL 132.330498 150.620834 \nL 130.945689 150.059702 \nL 128.209739 148.57885 \nL 125.554631 146.65159 \nL 123.045403 144.33761 \nL 120.767443 141.724975 \nL 118.819833 138.9315 \nL 117.306607 136.101889 \nL 116.744132 134.72425 \nL 116.325975 133.399724 \nL 116.061515 132.149538 \nL 115.958252 130.994204 \nL 116.02147 129.952965 \nL 116.253953 129.043223 \nL 116.655754 128.280042 \nL 117.224081 127.675699 \nL 117.95324 127.239356 \nL 118.834717 126.976862 \nL 119.857315 126.890686 \nL 121.007433 126.979995 \nL 122.269367 127.240829 \nL 123.625737 127.666418 \nL 125.057916 128.247567 \nL 128.07176 129.83027 \nL 131.154453 131.883843 \nL 134.15753 134.292641 \nL 136.950576 136.941667 \nL 139.427182 139.72392 \nL 141.506916 142.543858 \nL 143.134102 145.317903 \nL 144.274539 147.973034 \nL 144.911248 150.444388 \nL 145.039049 151.592467 \nL 145.040214 152.672652 \nL 144.915665 153.677995 \nL 144.666739 154.601623 \nL 144.295123 155.436693 \nL 143.80283 156.176331 \nL 143.192177 156.813651 \nL 142.465803 157.341721 \nL 141.626687 157.753593 \nL 140.678198 158.042312 \nL 139.624166 158.200988 \nL 138.468966 158.222862 \nL 137.217612 158.101437 \nL 135.875876 157.830581 \nL 134.450414 157.404728 \nL 132.948912 156.819074 \nL 131.380211 156.069849 \nL 129.754455 155.154581 \nL 128.083236 154.072438 \nL 126.37969 152.82456 \nL 124.658612 151.414454 \nL 122.936493 149.848363 \nL 121.231544 148.135644 \nL 119.563626 146.289093 \nL 117.954136 144.325196 \nL 116.425791 142.264301 \nL 115.002295 140.130641 \nL 113.707944 137.952186 \nL 112.567093 135.760295 \nL 111.603523 133.589163 \nL 110.839745 131.475002 \nL 110.296245 129.455078 \nL 109.99067 127.5665 \nL 109.93707 125.844934 \nL 110.145173 124.32328 \nL 110.619816 123.030386 \nL 111.360475 121.989913 \nL 112.361077 121.219451 \nL 113.609971 120.729935 \nL 115.090203 120.525442 \nL 116.779973 120.603316 \nL 118.653338 120.954693 \nL 120.681054 121.565268 \nL 122.831546 122.416285 \nL 125.071935 123.485657 \nL 127.369013 124.749083 \nL 129.690191 126.181147 \nL 132.004324 127.756238 \nL 134.282378 129.449382 \nL 138.627632 133.096352 \nL 142.551483 136.952795 \nL 144.314709 138.915092 \nL 145.929884 140.880207 \nL 147.38878 142.835369 \nL 148.685583 144.769304 \nL 149.816578 146.672008 \nL 150.779814 148.534532 \nL 151.574791 150.34877 \nL 152.202141 152.107272 \nL 152.663361 153.803047 \nL 152.960549 155.429413 \nL 153.096198 156.979846 \nL 153.073018 158.447841 \nL 152.893787 159.8268 \nL 152.561241 161.109945 \nL 152.07801 162.290193 \nL 151.446561 163.360109 \nL 150.669197 164.311819 \nL 149.748078 165.136952 \nL 148.685264 165.82661 \nL 147.482805 166.371326 \nL 146.142834 166.761078 \nL 144.667718 166.985316 \nL 143.060213 167.032997 \nL 141.32367 166.892721 \nL 139.462259 166.552864 \nL 137.481229 166.001822 \nL 135.387188 165.228278 \nL 133.188415 164.221633 \nL 130.895207 162.972435 \nL 128.520209 161.473021 \nL 126.07876 159.718189 \nL 123.589244 157.706023 \nL 121.07336 155.438779 \nL 118.556375 152.923873 \nL 116.067253 150.174835 \nL 113.638654 147.212254 \nL 111.306775 144.064566 \nL 109.110963 140.768616 \nL 107.093068 137.369828 \nL 105.296545 133.921927 \nL 103.76524 130.48605 \nL 102.541923 127.129203 \nL 101.66658 123.922042 \nL 101.17454 120.936063 \nL 101.094572 118.240309 \nL 101.447091 115.897899 \nL 102.242603 113.962619 \nL 103.480575 112.475985 \nL 105.148865 111.465074 \nL 107.223746 110.941363 \nL 109.670659 110.900715 \nL 112.445569 111.324448 \nL 115.496862 112.181485 \nL 118.76759 113.431092 \nL 122.197922 115.025979 \nL 125.727562 116.915468 \nL 129.297998 119.048362 \nL 132.85437 121.375284 \nL 136.346974 123.850452 \nL 139.732274 126.432844 \nL 142.973466 129.086749 \nL 146.040645 131.78189 \nL 148.910631 134.493166 \nL 151.566533 137.200184 \nL 153.997128 139.88664 \nL 156.196117 142.53966 \nL 158.161359 145.149179 \nL 159.894085 147.707338 \nL 161.398141 150.207948 \nL 162.679313 152.64607 \nL 163.744692 155.017651 \nL 164.602161 157.3192 \nL 165.259929 159.547567 \nL 165.726164 161.699737 \nL 166.008689 163.77268 \nL 166.114751 165.763211 \nL 166.050839 167.667873 \nL 165.822565 169.482835 \nL 165.434579 171.203788 \nL 164.890525 172.825853 \nL 164.19302 174.343471 \nL 163.34368 175.750316 \nL 162.343142 177.039149 \nL 161.191138 178.201729 \nL 159.886567 179.228698 \nL 158.427599 180.10943 \nL 156.811802 180.831912 \nL 155.036299 181.382622 \nL 153.097952 181.74643 \nL 150.993588 181.906486 \nL 148.720269 181.844185 \nL 146.275614 181.539162 \nL 143.658171 180.969362 \nL 140.86788 180.111252 \nL 137.906601 178.940115 \nL 134.778729 177.430612 \nL 131.49189 175.557496 \nL 128.057733 173.296697 \nL 124.492807 170.626674 \nL 120.819473 167.530202 \nL 117.066823 163.996518 \nL 113.271623 160.023894 \nL 109.479057 155.622488 \nL 105.743294 150.8174 \nL 102.12769 145.651663 \nL 98.704462 140.188778 \nL 95.553709 134.514435 \nL 92.761601 128.736811 \nL 90.417623 122.984952 \nL 88.610883 117.404814 \nL 87.425517 112.152689 \nL 86.935459 107.386317 \nL 87.19897 103.254173 \nL 88.253476 99.884198 \nL 90.11135 97.373268 \nL 92.757229 95.779199 \nL 96.147379 95.116531 \nL 100.211335 95.356726 \nL 104.855761 96.432994 \nL 109.970079 98.248679 \nL 115.43325 100.687763 \nL 121.120866 103.625917 \nL 126.911843 106.940412 \nL 132.694053 110.517954 \nL 138.368501 114.259792 \nL 143.851983 118.08434 \nL 149.0782 121.927484 \nL 153.997663 125.741406 \nL 158.576606 129.492423 \nL 162.795281 133.15838 \nL 166.645913 136.726096 \nL 170.130525 140.188999 \nL 173.25883 143.545139 \nL 176.046288 146.795621 \nL 178.512393 149.943411 \nL 180.679217 152.992474 \nL 182.570211 155.947214 \nL 184.209249 158.812058 \nL 185.619892 161.591254 \nL 186.82484 164.288753 \nL 187.845541 166.908149 \nL 188.701928 169.452702 \nL 189.993111 174.328614 \nL 190.823686 178.936463 \nL 191.291817 183.292589 \nL 191.470883 187.410675 \nL 191.412697 191.302317 \nL 191.150809 194.977406 \nL 190.703429 198.444136 \nL 190.075761 201.708868 \nL 189.261681 204.775752 \nL 188.24474 207.646096 \nL 186.998553 210.317431 \nL 185.486618 212.782126 \nL 183.661613 215.025402 \nL 182.613693 216.056739 \nL 181.464266 217.022404 \nL 180.203808 217.917041 \nL 178.821844 218.734042 \nL 177.306898 219.465324 \nL 175.646433 220.101043 \nL 173.826815 220.629257 \nL 171.83327 221.035553 \nL 169.649874 221.302572 \nL 167.259573 221.409506 \nL 164.644233 221.331487 \nL 161.784766 221.038933 \nL 158.661326 220.496801 \nL 155.253609 219.663827 \nL 151.541319 218.491723 \nL 147.504805 216.924462 \nL 143.125954 214.897672 \nL 138.389381 212.338358 \nL 133.284023 209.165102 \nL 127.805182 205.289046 \nL 121.957128 200.616052 \nL 115.756304 195.050499 \nL 109.235181 188.501282 \nL 102.446714 180.890543 \nL 95.469278 172.165732 \nL 88.411691 162.315047 \nL 81.417845 151.385914 \nL 74.669977 139.505097 \nL 68.389435 126.897566 \nL 62.833453 113.899628 \nL 58.286414 100.960364 \nL 55.0443 88.625102 \nL 53.392071 77.49604 \nL 53.575142 68.169874 \nL 55.768146 61.159468 \nL 60.046376 56.814394 \nL 66.366128 55.260495 \nL 74.559557 56.37702 \nL 84.34712 59.820118 \nL 95.366023 65.087365 \nL 107.209203 71.604543 \nL 119.466709 78.811089 \nL 155.260429 100.314317 \nL 166.042355 106.597038 \nL 176.013413 112.263378 \nL 193.360587 121.773695 \nL 213.202406 132.207897 \nL 243.537295 147.902704 \nL 247.243016 149.527034 \nL 250.510841 150.634551 \nL 253.51519 151.239864 \nL 254.957729 151.355577 \nL 256.375274 151.346747 \nL 257.77548 151.213444 \nL 259.163508 150.955991 \nL 260.5422 150.575145 \nL 261.912232 150.072338 \nL 263.272268 149.449842 \nL 265.947687 147.860336 \nL 268.522333 145.849131 \nL 270.9265 143.483664 \nL 273.072408 140.85956 \nL 274.861432 138.10073 \nL 276.193256 135.355047 \nL 276.658586 134.037699 \nL 276.976859 132.784976 \nL 277.140083 131.617143 \nL 277.142306 130.55345 \nL 276.97991 129.611567 \nL 276.651816 128.807082 \nL 276.159685 128.153056 \nL 275.507974 127.659666 \nL 274.703901 127.333943 \nL 273.757355 127.179669 \nL 272.680671 127.197388 \nL 271.488345 127.384537 \nL 270.196665 127.735692 \nL 268.823316 128.242927 \nL 265.906625 129.683753 \nL 262.890747 131.609028 \nL 259.923073 133.907521 \nL 257.135435 136.466191 \nL 254.637441 139.178157 \nL 252.513688 141.946922 \nL 250.82429 144.68748 \nL 249.607634 147.325335 \nL 248.884277 149.794441 \nL 248.710162 150.946769 \nL 248.661089 152.03472 \nL 248.736382 153.051318 \nL 248.93491 153.989711 \nL 249.255164 154.843069 \nL 249.695284 155.604607 \nL 250.253083 156.267504 \nL 250.926054 156.824941 \nL 251.711334 157.27008 \nL 252.605687 157.596083 \nL 253.605431 157.796191 \nL 254.706366 157.863762 \nL 255.90369 157.792377 \nL 257.191886 157.575963 \nL 258.564601 157.208971 \nL 260.01453 156.686538 \nL 261.533269 156.004747 \nL 263.111184 155.160873 \nL 264.737289 154.1537 \nL 266.399127 152.983841 \nL 268.082665 151.654104 \nL 269.772245 150.169837 \nL 271.450554 148.539291 \nL 273.098654 146.773961 \nL 274.696114 144.888831 \nL 276.221165 142.902574 \nL 277.650991 140.837601 \nL 278.962101 138.719982 \nL 280.130792 136.57917 \nL 281.133732 134.44752 \nL 281.948605 132.359591 \nL 282.554844 130.351256 \nL 282.934369 128.458642 \nL 283.072356 126.716888 \nL 282.957921 125.15892 \nL 282.584742 123.814155 \nL 281.951543 122.707413 \nL 281.06234 121.857938 \nL 279.926567 121.278755 \nL 278.558873 120.976328 \nL 276.978779 120.950589 \nL 275.210066 121.195262 \nL 273.280011 121.698529 \nL 271.218504 122.443898 \nL 269.057089 123.411231 \nL 266.828002 124.577813 \nL 264.563219 125.919402 \nL 262.293646 127.411196 \nL 260.048408 129.028663 \nL 255.735324 132.547481 \nL 251.803967 136.305207 \nL 248.385908 140.159795 \nL 246.897631 142.086943 \nL 245.566369 143.997779 \nL 244.396714 145.881827 \nL 243.391414 147.729723 \nL 242.551668 149.533003 \nL 241.877437 151.28391 \nL 241.367728 152.975207 \nL 241.020841 154.600023 \nL 240.834589 156.151699 \nL 240.806487 157.623645 \nL 240.933905 159.009228 \nL 241.214186 160.301688 \nL 241.644731 161.49401 \nL 242.223046 162.57886 \nL 242.946775 163.548519 \nL 243.813674 164.39481 \nL 244.821586 165.109067 \nL 245.968364 165.68211 \nL 247.251771 166.104226 \nL 248.669369 166.365213 \nL 250.218348 166.454411 \nL 251.895351 166.360811 \nL 253.696254 166.07319 \nL 255.615933 165.580336 \nL 257.647987 164.871299 \nL 259.784441 163.935758 \nL 262.015441 162.764477 \nL 264.328915 161.34985 \nL 266.710235 159.686558 \nL 269.141931 157.772317 \nL 271.603357 155.608728 \nL 274.070498 153.202204 \nL 276.515802 150.564851 \nL 278.908181 147.71541 \nL 281.213123 144.680012 \nL 283.393027 141.49275 \nL 285.407779 138.195905 \nL 287.215566 134.839792 \nL 288.773968 131.481992 \nL 290.041329 128.18605 \nL 290.978342 125.019495 \nL 291.549796 122.05126 \nL 291.726378 119.348677 \nL 291.486434 116.974184 \nL 290.817509 114.982112 \nL 289.717515 113.415697 \nL 288.195425 112.304877 \nL 286.271374 111.66491 \nL 283.976124 111.496033 \nL 281.349919 111.7843 \nL 278.44081 112.503231 \nL 275.302588 113.616299 \nL 271.99249 115.079808 \nL 268.568868 116.845905 \nL 265.089019 118.865325 \nL 261.607234 121.089852 \nL 258.173297 123.474128 \nL 254.831355 125.976977 \nL 251.619244 128.562094 \nL 248.568206 131.198314 \nL 245.702952 133.85949 \nL 243.042007 136.524124 \nL 240.598235 139.17481 \nL 238.379524 141.797654 \nL 236.389492 144.381647 \nL 234.628259 146.918094 \nL 233.093163 149.400108 \nL 231.779449 151.822129 \nL 230.680886 154.179585 \nL 229.790294 156.468541 \nL 229.100018 158.685489 \nL 228.602317 160.827102 \nL 228.289672 162.890091 \nL 228.155036 164.871043 \nL 228.192024 166.766306 \nL 228.395056 168.571876 \nL 228.759438 170.28331 \nL 229.281435 171.895592 \nL 229.958273 173.403069 \nL 230.788145 174.799313 \nL 231.770178 176.077034 \nL 232.904376 177.227958 \nL 234.191528 178.242709 \nL 235.63313 179.110695 \nL 237.231239 179.819971 \nL 238.988321 180.357152 \nL 240.907066 180.707285 \nL 242.990171 180.853803 \nL 245.240047 180.778467 \nL 247.658521 180.461403 \nL 250.24645 179.881173 \nL 253.003261 179.015018 \nL 255.926449 177.839181 \nL 259.010956 176.329464 \nL 262.248501 174.461985 \nL 265.626803 172.214231 \nL 269.12877 169.566422 \nL 272.731608 166.503241 \nL 276.405944 163.015944 \nL 280.114997 159.104804 \nL 283.813879 154.781824 \nL 287.449135 150.073615 \nL 290.9586 145.024109 \nL 294.271825 139.696869 \nL 297.311103 134.176511 \nL 299.9933 128.568777 \nL 302.232551 122.998754 \nL 303.943868 117.606881 \nL 305.04752 112.54262 \nL 305.474004 107.955937 \nL 305.169166 103.987239 \nL 304.098978 100.75685 \nL 302.253431 98.355383 \nL 299.648887 96.836445 \nL 296.328588 96.212843 \nL 292.36095 96.457056 \nL 287.835923 97.505703 \nL 282.859622 99.267389 \nL 277.547994 101.632516 \nL 272.020118 104.483447 \nL 266.391962 107.703789 \nL 260.771101 111.185645 \nL 255.25272 114.834522 \nL 249.917122 118.571805 \nL 244.828606 122.335236 \nL 240.035518 126.077874 \nL 235.571214 129.766156 \nL 231.455628 133.377552 \nL 227.697186 136.898183 \nL 224.294846 140.320608 \nL 221.240091 143.641974 \nL 218.518776 146.862494 \nL 216.112777 149.984314 \nL 214.001386 153.01067 \nL 212.162482 155.945315 \nL 210.573454 158.792134 \nL 209.211933 161.554905 \nL 208.056335 164.237189 \nL 207.086254 166.842238 \nL 206.282723 169.372989 \nL 205.628384 171.832099 \nL 204.706312 176.5446 \nL 204.215029 180.995859 \nL 204.075478 185.198835 \nL 204.23204 189.163847 \nL 204.64958 192.898814 \nL 205.310677 196.40913 \nL 206.213346 199.697217 \nL 207.369402 202.761704 \nL 208.803511 205.596202 \nL 210.552875 208.187466 \nL 211.56089 209.385253 \nL 212.66751 210.512788 \nL 213.881109 211.565139 \nL 215.210972 212.536236 \nL 216.667335 213.418663 \nL 218.261409 214.203411 \nL 220.005419 214.879582 \nL 221.912621 215.434069 \nL 223.997292 215.851156 \nL 226.274724 216.112071 \nL 228.761146 216.194491 \nL 231.473616 216.071972 \nL 234.429848 215.71334 \nL 237.647916 215.082049 \nL 241.145879 214.135529 \nL 244.941205 212.824588 \nL 249.05001 211.092941 \nL 253.486044 208.876958 \nL 258.259353 206.105843 \nL 263.374551 202.702414 \nL 268.828667 198.584821 \nL 274.608487 193.669535 \nL 280.687346 187.876053 \nL 287.021444 181.133777 \nL 293.545778 173.391455 \nL 300.169867 164.629359 \nL 306.77379 154.874045 \nL 313.205108 144.214694 \nL 319.277577 132.81923 \nL 324.772809 120.946979 \nL 329.4461 108.9536 \nL 333.037477 97.283287 \nL 335.288545 86.443991 \nL 335.964711 76.963797 \nL 334.880778 69.331594 \nL 331.926341 63.930873 \nL 327.086373 60.980885 \nL 320.451938 60.500666 \nL 312.217523 62.307156 \nL 302.664348 66.049437 \nL 292.13224 71.269956 \nL 280.985559 77.476218 \nL 269.579747 84.205219 \nL 226.894388 110.007441 \nL 202.04684 124.603484 \nL 183.972272 135.220697 \nL 175.029809 140.676583 \nL 165.013074 147.125857 \nL 155.65067 153.293837 \nL 151.894286 155.490938 \nL 148.418425 157.11601 \nL 146.728902 157.709854 \nL 145.048134 158.153665 \nL 143.362312 158.443396 \nL 141.660466 158.574545 \nL 139.934325 158.542361 \nL 138.178196 158.342065 \nL 136.388887 157.969104 \nL 134.565669 157.419416 \nL 132.710251 156.689739 \nL 130.826791 155.777963 \nL 128.921897 154.683507 \nL 127.004654 153.407736 \nL 125.086606 151.954394 \nL 123.181773 150.330046 \nL 121.306571 148.544528 \nL 119.479695 146.61135 \nL 117.721957 144.548003 \nL 116.055989 142.376198 \nL 114.505884 140.121922 \nL 113.096703 137.815332 \nL 111.85388 135.490394 \nL 110.802501 133.184281 \nL 109.966504 130.93651 \nL 109.367794 128.78783 \nL 109.025362 126.778916 \nL 108.95435 124.948876 \nL 109.165277 123.333758 \nL 109.66332 121.965084 \nL 110.447811 120.868568 \nL 111.511979 120.063104 \nL 112.842945 119.560118 \nL 114.421999 119.363373 \nL 116.225133 119.46914 \nL 118.223825 119.866828 \nL 120.386029 120.539908 \nL 122.677248 121.467087 \nL 125.061673 122.623571 \nL 127.503312 123.982376 \nL 129.967022 125.51555 \nL 132.419408 127.195199 \nL 134.829555 128.994375 \nL 137.169567 130.887696 \nL 139.414912 132.851772 \nL 141.544604 134.86542 \nL 143.541212 136.909746 \nL 145.390737 138.968069 \nL 147.082393 141.025771 \nL 148.608309 143.070106 \nL 149.96318 145.089926 \nL 151.143897 147.075451 \nL 152.149186 149.01802 \nL 152.97924 150.909833 \nL 153.635375 152.743757 \nL 154.119745 154.51314 \nL 154.435046 156.211598 \nL 154.584308 157.832906 \nL 154.570696 159.370822 \nL 154.397347 160.818996 \nL 154.067271 162.170828 \nL 153.583262 163.419404 \nL 152.947866 164.557386 \nL 152.163353 165.576939 \nL 151.231748 166.469669 \nL 150.154877 167.226566 \nL 148.934441 167.837959 \nL 147.57214 168.293502 \nL 146.069795 168.582187 \nL 144.429527 168.692373 \nL 142.653964 168.61186 \nL 140.746466 168.328054 \nL 138.7114 167.828133 \nL 136.554448 167.099334 \nL 134.282929 166.129318 \nL 131.906177 164.906677 \nL 129.435909 163.421499 \nL 126.886644 161.666105 \nL 124.276066 159.635905 \nL 121.625413 157.330396 \nL 118.959793 154.754203 \nL 116.308388 151.918241 \nL 113.704596 148.840833 \nL 111.185911 145.548722 \nL 108.793661 142.077901 \nL 106.572414 138.474049 \nL 104.569131 134.792494 \nL 102.831916 131.097502 \nL 101.408488 127.460869 \nL 100.344327 123.95966 \nL 99.680616 120.673186 \nL 99.452027 117.67939 \nL 99.684616 115.05079 \nL 100.393883 112.850504 \nL 101.583317 111.128564 \nL 103.243478 109.919094 \nL 105.351846 109.238649 \nL 107.873422 109.085779 \nL 110.762114 109.442179 \nL 113.962794 110.274813 \nL 117.413801 111.53915 \nL 121.049724 113.18274 \nL 124.804227 115.148945 \nL 128.612633 117.380378 \nL 132.414171 119.821701 \nL 136.15374 122.421777 \nL 139.783116 125.13502 \nL 143.261637 127.922066 \nL 146.556422 130.74988 \nL 149.642167 133.591445 \nL 152.50065 136.425168 \nL 155.120017 139.234131 \nL 157.493948 142.005298 \nL 159.620752 144.728783 \nL 161.502482 147.397146 \nL 163.144085 150.004783 \nL 164.552625 152.547438 \nL 165.736594 155.021797 \nL 166.705314 157.425163 \nL 167.468439 159.755176 \nL 168.035542 162.009648 \nL 168.415788 164.186383 \nL 168.617675 166.283047 \nL 168.648849 168.297061 \nL 168.515965 170.225505 \nL 168.224595 172.065022 \nL 167.779185 173.81174 \nL 167.183024 175.46118 \nL 166.438257 177.00813 \nL 165.545914 178.44658 \nL 164.50595 179.769574 \nL 163.31732 180.969089 \nL 161.978054 182.035924 \nL 160.485364 182.959518 \nL 158.835757 183.727842 \nL 157.025199 184.327213 \nL 155.049274 184.742159 \nL 152.903415 184.955303 \nL 150.583149 184.947231 \nL 148.084418 184.696453 \nL 145.403951 184.179409 \nL 142.53973 183.370582 \nL 139.491507 182.242724 \nL 136.261461 180.767347 \nL 132.854932 178.915355 \nL 129.281277 176.658073 \nL 125.554813 173.968603 \nL 121.695872 170.823623 \nL 117.7319 167.205688 \nL 113.698555 163.106019 \nL 109.640739 158.527741 \nL 105.613451 153.489483 \nL 101.682276 148.029085 \nL 97.923379 142.207007 \nL 94.422794 136.109024 \nL 91.274781 129.84747 \nL 88.579096 123.560414 \nL 86.437112 117.408118 \nL 84.946748 111.566278 \nL 84.196519 106.216201 \nL 84.25903 101.532386 \nL 85.184597 97.668773 \nL 86.995769 94.745452 \nL 89.683507 92.837929 \nL 93.205747 91.970777 \nL 97.48872 92.11692 \nL 102.431056 93.202605 \nL 107.910189 95.117246 \nL 113.790318 97.726297 \nL 119.930915 100.88484 \nL 126.194782 104.449985 \nL 132.454876 108.290524 \nL 138.599405 112.293264 \nL 144.534923 116.365976 \nL 150.187674 120.437666 \nL 155.503363 124.456788 \nL 160.445789 128.388406 \nL 164.994759 132.210911 \nL 169.143608 135.912799 \nL 172.896624 139.489796 \nL 176.266583 142.942507 \nL 179.272499 146.274567 \nL 181.93768 149.491316 \nL 184.288092 152.598848 \nL 186.351036 155.603398 \nL 188.15411 158.510959 \nL 189.724423 161.327091 \nL 191.088024 164.056809 \nL 192.269512 166.704609 \nL 194.175899 171.769901 \nL 195.604574 176.549615 \nL 196.687242 181.064946 \nL 197.885881 187.379452 \nL 201.096307 206.46541 \nL 202.228849 210.697169 \nL 203.148491 213.305139 \nL 204.239752 215.743265 \nL 205.542666 218.008001 \nL 207.104452 220.090514 \nL 208.981481 221.974503 \nL 210.058858 222.834167 \nL 211.241434 223.633036 \nL 212.539819 224.365331 \nL 213.965624 225.023916 \nL 215.531547 225.600042 \nL 217.251432 226.083023 \nL 219.140341 226.459856 \nL 221.214603 226.714777 \nL 223.491836 226.828733 \nL 225.990944 226.778772 \nL 228.732065 226.537345 \nL 231.736444 226.071518 \nL 235.026223 225.342103 \nL 238.624098 224.302716 \nL 242.552795 222.898843 \nL 246.834353 221.066937 \nL 251.489071 218.73371 \nL 256.53413 215.815753 \nL 261.981704 212.219794 \nL 267.836551 207.843931 \nL 274.092888 202.580316 \nL 280.730564 196.319927 \nL 287.710406 188.960146 \nL 294.968871 180.415834 \nL 302.412154 170.634525 \nL 309.910213 159.615879 \nL 317.291538 147.434678 \nL 324.339706 134.265173 \nL 330.793498 120.402722 \nL 336.352273 106.276348 \nL 340.688673 92.444252 \nL 343.46989 79.564487 \nL 344.387313 68.336009 \nL 343.192383 59.413159 \nL 339.733376 53.306602 \nL 333.985882 50.293538 \nL 326.068974 50.363749 \nL 316.241191 53.220657 \nL 304.875158 58.33999 \nL 292.415561 65.068702 \nL 279.329588 72.734827 \nL 252.991933 88.609282 \nL 240.428583 96.02067 \nL 228.589717 102.782044 \nL 217.61497 108.809926 \nL 207.576198 114.096773 \nL 198.492016 118.682476 \nL 190.342116 122.632154 \nL 176.642066 128.92299 \nL 165.951018 133.538842 \nL 154.280752 138.284882 \nL 146.310297 141.275715 \nL 142.379588 142.582709 \nL 139.210475 143.458384 \nL 136.589969 143.966845 \nL 134.364457 144.153713 \nL 132.428121 144.054902 \nL 130.713024 143.7027 \nL 129.180755 143.129869 \nL 127.815467 142.372461 \nL 126.617881 141.471387 \nL 125.600057 140.472975 \nL 124.780553 139.428449 \nL 124.180052 138.39242 \nL 123.817309 137.420489 \nL 123.705592 136.566185 \nL 123.849742 135.877608 \nL 124.244127 135.394223 \nL 124.871664 135.144211 \nL 125.703934 135.142772 \nL 126.702373 135.391592 \nL 127.820476 135.879413 \nL 129.006541 136.583666 \nL 130.795467 137.974622 \nL 132.440964 139.6474 \nL 133.789963 141.454 \nL 134.464285 142.658514 \nL 134.927679 143.812852 \nL 135.162618 144.876331 \nL 135.159384 145.810961 \nL 134.915752 146.581865 \nL 134.436695 147.157727 \nL 133.734146 147.51136 \nL 132.826932 147.620584 \nL 131.740783 147.469256 \nL 130.508434 147.048715 \nL 129.169673 146.359389 \nL 127.771194 145.412482 \nL 126.366066 144.231596 \nL 125.012626 142.853897 \nL 123.772657 141.330463 \nL 122.708671 139.725435 \nL 121.880423 138.113647 \nL 121.340726 136.576599 \nL 121.130983 135.196958 \nL 121.277016 134.05214 \nL 121.486394 133.588933 \nL 121.785685 133.207807 \nL 122.172496 132.914192 \nL 122.643108 132.712194 \nL 123.814683 132.592378 \nL 125.247249 132.85282 \nL 126.872929 133.476482 \nL 128.614349 134.427996 \nL 130.39025 135.658087 \nL 132.12093 137.108432 \nL 133.732723 138.716151 \nL 135.161358 140.417444 \nL 136.353836 142.150104 \nL 137.269186 143.855024 \nL 137.878219 145.476843 \nL 138.162701 146.964056 \nL 138.114284 148.268828 \nL 137.733461 149.346799 \nL 137.02878 150.157031 \nL 136.016459 150.662376 \nL 134.720453 150.830299 \nL 133.17292 150.63438 \nL 131.415034 150.056483 \nL 129.497889 149.089661 \nL 127.483319 147.74155 \nL 125.444135 146.038043 \nL 123.463538 144.026643 \nL 121.633079 141.778684 \nL 120.048948 139.389436 \nL 118.806345 136.975257 \nL 117.992147 134.667058 \nL 117.768514 133.595174 \nL 117.676508 132.600245 \nL 117.720902 131.697835 \nL 117.904451 130.902162 \nL 118.227726 130.225727 \nL 118.689033 129.678968 \nL 119.284366 129.270007 \nL 120.007445 129.004482 \nL 120.849841 128.885441 \nL 121.801123 128.913368 \nL 122.849132 129.086255 \nL 123.980222 129.399819 \nL 126.431773 130.421884 \nL 129.030085 131.909778 \nL 131.64757 133.776023 \nL 134.164334 135.92529 \nL 136.475284 138.262216 \nL 138.494283 140.696609 \nL 140.155499 143.146038 \nL 141.412557 145.536436 \nL 142.236239 147.801262 \nL 142.611573 149.880054 \nL 142.629588 150.832036 \nL 142.53488 151.716745 \nL 142.328355 152.527599 \nL 142.011369 153.258153 \nL 141.585689 153.902028 \nL 141.053487 154.452943 \nL 140.417336 154.904689 \nL 139.680237 155.251187 \nL 138.845644 155.486485 \nL 137.91752 155.604837 \nL 136.90039 155.600776 \nL 135.799422 155.469226 \nL 134.620503 155.2056 \nL 133.370337 154.805972 \nL 130.687719 153.587366 \nL 127.825038 151.802503 \nL 124.874465 149.464768 \nL 121.948362 146.620112 \nL 119.178705 143.354729 \nL 116.713317 139.799954 \nL 115.643403 137.96747 \nL 114.707991 136.131801 \nL 113.925778 134.320568 \nL 113.314195 132.562637 \nL 112.888872 130.887373 \nL 112.663023 129.323759 \nL 112.64694 127.899511 \nL 112.847476 126.640113 \nL 113.267661 125.56794 \nL 113.9064 124.701495 \nL 114.758367 124.054792 \nL 115.814004 123.636934 \nL 117.059718 123.451956 \nL 118.47822 123.498922 \nL 120.049039 123.772179 \nL 121.749093 124.261899 \nL 123.553419 124.954708 \nL 125.435862 125.834427 \nL 127.369818 126.882845 \nL 131.287665 129.407269 \nL 135.109465 132.368719 \nL 138.665791 135.615259 \nL 141.823451 139.012328 \nL 144.487128 142.446222 \nL 146.596092 145.822983 \nL 147.431554 147.465109 \nL 148.118057 149.064764 \nL 148.654821 150.61398 \nL 149.041947 152.10522 \nL 149.280224 153.531264 \nL 149.370967 154.88508 \nL 149.315867 156.159702 \nL 149.116875 157.348175 \nL 148.776121 158.443439 \nL 148.295842 159.438266 \nL 147.678366 160.325223 \nL 146.926099 161.096595 \nL 146.041537 161.744396 \nL 145.027338 162.260324 \nL 143.886373 162.635788 \nL 142.621847 162.861959 \nL 141.237409 162.929829 \nL 139.737307 162.830302 \nL 138.126561 162.554356 \nL 136.411152 162.093252 \nL 134.598245 161.438767 \nL 132.696406 160.583536 \nL 130.715847 159.52141 \nL 128.66867 158.247929 \nL 126.569092 156.760861 \nL 124.433666 155.06076 \nL 122.281458 153.151611 \nL 120.134176 151.041485 \nL 118.016184 148.743188 \nL 115.95448 146.27484 \nL 113.97849 143.660332 \nL 112.119729 140.929617 \nL 110.411287 138.118738 \nL 108.887148 135.269545 \nL 107.58129 132.428993 \nL 106.526639 129.64806 \nL 105.753859 126.980234 \nL 105.290078 124.479624 \nL 105.157563 122.198799 \nL 105.372506 120.186488 \nL 105.943937 118.485297 \nL 106.872912 117.12971 \nL 108.152053 116.144513 \nL 109.765482 115.543746 \nL 111.689199 115.330458 \nL 113.891888 115.497036 \nL 116.336069 116.026315 \nL 118.979542 116.893109 \nL 121.777047 118.066068 \nL 124.681913 119.509789 \nL 127.647697 121.186747 \nL 130.62967 123.059131 \nL 133.586004 125.090276 \nL 136.478753 127.245818 \nL 139.274493 129.494415 \nL 141.944683 131.808166 \nL 144.465762 134.162735 \nL 146.819034 136.537228 \nL 148.990365 138.91396 \nL 150.969781 141.278082 \nL 152.750954 143.617206 \nL 154.330668 145.920977 \nL 155.708279 148.180703 \nL 156.885174 150.388984 \nL 157.864289 152.5394 \nL 158.649649 154.626239 \nL 159.245987 156.644255 \nL 159.658384 158.588467 \nL 159.892005 160.453979 \nL 159.95186 162.235828 \nL 159.842617 163.928862 \nL 159.568476 165.527614 \nL 159.133081 167.026203 \nL 158.539449 168.418197 \nL 157.78996 169.696549 \nL 156.886366 170.853484 \nL 155.829837 171.880411 \nL 154.621014 172.767827 \nL 153.260124 173.505252 \nL 151.7471 174.081156 \nL 150.08174 174.482897 \nL 148.263892 174.696713 \nL 146.293701 174.707722 \nL 144.171861 174.500011 \nL 141.899943 174.056737 \nL 139.480752 173.360377 \nL 136.918747 172.393044 \nL 134.220504 171.136966 \nL 131.395239 169.575124 \nL 128.455368 167.692071 \nL 125.417107 165.474978 \nL 122.301063 162.914911 \nL 119.132846 160.008304 \nL 115.943589 156.758673 \nL 112.770369 153.178414 \nL 109.656428 149.290671 \nL 106.651161 145.131052 \nL 103.809733 140.749024 \nL 101.192263 136.208712 \nL 98.862487 131.588832 \nL 96.885882 126.981502 \nL 95.327207 122.489689 \nL 94.24754 118.223246 \nL 93.700989 114.293595 \nL 93.731228 110.807447 \nL 94.368229 107.860064 \nL 95.625465 105.528825 \nL 97.498003 103.867848 \nL 99.961676 102.904516 \nL 102.973591 102.638319 \nL 106.473972 103.04223 \nL 110.389147 104.066355 \nL 114.635453 105.643243 \nL 119.123609 107.694133 \nL 123.763139 110.135329 \nL 128.466472 112.883762 \nL 133.15237 115.861576 \nL 137.748501 118.999156 \nL 142.193123 122.236936 \nL 146.435858 125.525861 \nL 150.43775 128.827031 \nL 154.170682 132.110703 \nL 157.616395 135.354988 \nL 160.765254 138.544387 \nL 163.614853 141.668455 \nL 166.168651 144.720567 \nL 168.434639 147.696857 \nL 170.424141 150.595409 \nL 172.150757 153.415586 \nL 173.62945 156.157557 \nL 174.875802 158.821926 \nL 175.905409 161.409503 \nL 176.733397 163.921122 \nL 177.37407 166.357524 \nL 177.840637 168.719288 \nL 178.145037 171.006754 \nL 178.297815 173.220016 \nL 178.308056 175.358852 \nL 178.183355 177.422727 \nL 177.929825 179.41073 \nL 177.552115 181.321531 \nL 177.053448 183.153334 \nL 176.435664 184.903815 \nL 175.699277 186.570046 \nL 174.843521 188.148406 \nL 173.866409 189.634478 \nL 172.764778 191.022909 \nL 171.534351 192.307294 \nL 170.16979 193.479993 \nL 168.66475 194.531961 \nL 167.011956 195.452529 \nL 165.203273 196.229176 \nL 163.229814 196.847274 \nL 161.082058 197.289811 \nL 158.750012 197.537107 \nL 156.223426 197.566507 \nL 153.492053 197.352116 \nL 150.546003 196.864537 \nL 147.376199 196.070699 \nL 143.97493 194.933803 \nL 140.33657 193.413427 \nL 136.458468 191.465932 \nL 132.342012 189.045223 \nL 127.993939 186.104004 \nL 123.427842 182.595719 \nL 118.665914 178.477292 \nL 113.740869 173.712853 \nL 108.697981 168.278491 \nL 103.597098 162.168146 \nL 98.514476 155.400421 \nL 93.54405 148.025866 \nL 88.797917 140.134149 \nL 84.405472 131.859798 \nL 80.510797 123.385203 \nL 77.267848 114.939046 \nL 74.833238 106.788683 \nL 73.356604 99.225311 \nL 72.969118 92.542305 \nL 73.771157 87.0084 \nL 75.820702 82.839457 \nL 79.124235 80.173785 \nL 83.632033 79.056085 \nL 89.238982 79.433789 \nL 95.791315 81.166969 \nL 103.098485 84.049642 \nL 110.948298 87.837663 \nL 119.123115 92.277623 \nL 127.414751 97.131439 \nL 135.636335 102.193538 \nL 143.630236 107.299758 \nL 158.470524 117.199274 \nL 165.166279 121.861778 \nL 171.327022 126.29267 \nL 176.943373 130.486109 \nL 182.023995 134.448013 \nL 186.591094 138.191163 \nL 190.676475 141.731667 \nL 194.318224 145.086538 \nL 197.558044 148.272157 \nL 200.439174 151.303417 \nL 203.004848 154.193293 \nL 207.356385 159.590625 \nL 210.924335 164.528675 \nL 219.432066 176.862592 \nL 222.17964 180.144246 \nL 223.621999 181.616073 \nL 225.130722 182.967616 \nL 226.720121 184.191568 \nL 228.403748 185.279229 \nL 230.194509 186.220329 \nL 232.104735 187.002898 \nL 234.146216 187.613073 \nL 236.330184 188.034942 \nL 238.667243 188.250359 \nL 241.16723 188.23883 \nL 243.839014 187.977384 \nL 246.690188 187.440535 \nL 249.726688 186.600366 \nL 252.952286 185.426709 \nL 256.367969 183.887566 \nL 259.971171 181.949782 \nL 263.75488 179.580058 \nL 267.706602 176.74642 \nL 271.807187 173.420158 \nL 276.029554 169.578393 \nL 280.337423 165.207265 \nL 284.684009 160.305699 \nL 289.010982 154.889686 \nL 293.247702 148.996801 \nL 297.311058 142.69052 \nL 301.106083 136.063761 \nL 304.527656 129.240836 \nL 307.46352 122.376931 \nL 309.798693 115.654231 \nL 311.421367 109.274137 \nL 312.229963 103.445443 \nL 312.14094 98.369211 \nL 311.096475 94.221877 \nL 309.07112 91.138926 \nL 306.076395 89.201807 \nL 302.162426 88.430511 \nL 297.416142 88.783455 \nL 291.956052 90.164577 \nL 285.924251 92.43635 \nL 279.476652 95.4362 \nL 272.772738 98.993307 \nL 265.966108 102.943325 \nL 259.196715 107.139311 \nL 252.585414 111.458126 \nL 246.230884 115.802843 \nL 240.208719 120.101828 \nL 234.572256 124.305826 \nL 229.354618 128.383961 \nL 224.571469 132.319522 \nL 220.224062 136.10607 \nL 216.302285 139.744125 \nL 212.787481 143.238565 \nL 209.654939 146.59668 \nL 206.875994 149.82683 \nL 204.419749 152.937522 \nL 202.254433 155.936869 \nL 200.348431 158.832314 \nL 198.67104 161.630472 \nL 195.886821 166.957312 \nL 193.690036 171.954657 \nL 191.900929 176.649686 \nL 186.21256 192.714283 \nL 184.681323 196.083718 \nL 182.955923 199.188943 \nL 180.96742 202.014867 \nL 179.852262 203.315552 \nL 178.643976 204.535716 \nL 177.332594 205.669836 \nL 175.907587 206.711148 \nL 174.357795 207.651452 \nL 172.671369 208.480851 \nL 170.83573 209.18747 \nL 168.837553 209.757133 \nL 166.662767 210.172986 \nL 164.296609 210.415075 \nL 161.723704 210.459887 \nL 158.928237 210.279856 \nL 155.894178 209.84284 \nL 152.605635 209.11161 \nL 149.047332 208.043383 \nL 145.205252 206.589467 \nL 141.067514 204.695094 \nL 136.625476 202.299601 \nL 131.87518 199.337079 \nL 126.819123 195.737786 \nL 121.468444 191.43052 \nL 115.845518 186.346327 \nL 109.986936 180.423871 \nL 103.946854 173.616749 \nL 97.800398 165.902926 \nL 91.646996 157.296185 \nL 85.613017 147.858999 \nL 79.853159 137.715568 \nL 74.549705 127.062841 \nL 69.90874 116.176562 \nL 66.152454 105.408702 \nL 63.506901 95.172795 \nL 62.185446 85.915052 \nL 62.36876 78.072063 \nL 64.18375 72.019915 \nL 67.684654 68.023629 \nL 72.840194 66.198424 \nL 79.529945 66.493009 \nL 87.551815 68.70043 \nL 96.639828 72.494105 \nL 106.489326 77.480015 \nL 116.784868 83.251747 \nL 127.226063 89.436875 \nL 147.532213 101.892005 \nL 181.540587 123.07799 \nL 194.386336 131.291735 \nL 204.667109 138.181107 \nL 212.802504 144.018069 \nL 219.256808 149.018871 \nL 226.734481 155.25547 \nL 232.651639 160.178781 \nL 236.200364 162.760066 \nL 237.937336 163.834385 \nL 239.678164 164.758448 \nL 241.440915 165.52621 \nL 243.241086 166.130536 \nL 245.091738 166.563311 \nL 247.003618 166.815528 \nL 248.985213 166.877437 \nL 251.042758 166.738702 \nL 253.180196 166.388619 \nL 255.399097 165.816376 \nL 257.698521 165.011414 \nL 260.074836 163.963848 \nL 262.521499 162.66501 \nL 265.028814 161.108098 \nL 267.583689 159.288913 \nL 270.169371 157.206749 \nL 272.765247 154.865309 \nL 275.346656 152.273739 \nL 277.884862 149.447619 \nL 280.347131 146.409906 \nL 282.696968 143.191693 \nL 284.894609 139.832727 \nL 286.897787 136.38148 \nL 288.662721 132.89472 \nL 290.145472 129.436449 \nL 291.303514 126.076146 \nL 292.097568 122.886346 \nL 292.493518 119.939576 \nL 292.464365 117.304922 \nL 291.992052 115.044472 \nL 291.068929 113.209868 \nL 289.698814 111.839525 \nL 287.897395 110.956621 \nL 285.692019 110.568224 \nL 283.120742 110.665664 \nL 280.230775 111.225901 \nL 277.076448 112.21401 \nL 273.716787 113.586073 \nL 270.213029 115.292483 \nL 266.626168 117.281132 \nL 263.014761 119.500176 \nL 259.433106 121.900297 \nL 255.929884 124.436327 \nL 252.547236 127.068231 \nL 249.32034 129.761507 \nL 246.277351 132.487198 \nL 243.439672 135.221506 \nL 240.822483 137.945255 \nL 238.435409 140.643257 \nL 236.2833 143.303599 \nL 234.367036 145.917035 \nL 232.684318 148.476369 \nL 231.230409 150.975974 \nL 229.998827 153.411346 \nL 228.981936 155.778772 \nL 228.171472 158.075025 \nL 227.558964 160.29715 \nL 227.136102 162.442296 \nL 226.895012 164.507533 \nL 226.82848 166.489746 \nL 226.930105 168.38551 \nL 227.19442 170.191021 \nL 227.616958 171.901961 \nL 228.194288 173.513409 \nL 228.924028 175.019753 \nL 229.804814 176.414575 \nL 230.836266 177.690543 \nL 232.018926 178.839278 \nL 233.354161 179.851236 \nL 234.84407 180.715587 \nL 236.491347 181.420069 \nL 238.299126 181.950881 \nL 240.270782 182.292543 \nL 242.409711 182.42783 \nL 244.719056 182.337686 \nL 247.201362 182.001261 \nL 249.858204 181.395956 \nL 252.689705 180.497658 \nL 255.694004 179.281062 \nL 258.866613 177.720199 \nL 262.199689 175.789261 \nL 265.681239 173.463675 \nL 269.294202 170.721526 \nL 273.015521 167.545417 \nL 276.815161 163.924741 \nL 280.655195 159.858304 \nL 284.489013 155.357329 \nL 288.260752 150.448602 \nL 291.905131 145.177532 \nL 295.347819 139.61077 \nL 298.506504 133.837855 \nL 301.292821 127.971408 \nL 303.61525 122.145268 \nL 305.383053 116.510143 \nL 306.511046 111.226634 \nL 306.92503 106.455732 \nL 306.567448 102.347667 \nL 305.40262 99.030209 \nL 303.420968 96.598039 \nL 300.641573 95.104815 \nL 297.112548 94.559359 \nL 292.909065 94.926521 \nL 288.129111 96.132704 \nL 282.8875 98.075 \nL 277.308779 100.632232 \nL 271.519904 103.676374 \nL 265.643494 107.082519 \nL 259.792217 110.736607 \nL 254.064712 114.540277 \nL 248.543128 118.413111 \nL 243.292197 122.292672 \nL 238.359539 126.132989 \nL 233.776903 129.902218 \nL 229.56202 133.579925 \nL 225.720747 137.154393 \nL 222.2493 140.620285 \nL 219.136404 143.976637 \nL 216.365252 147.22534 \nL 213.915211 150.369945 \nL 211.76327 153.414871 \nL 209.885212 156.364842 \nL 208.256549 159.224535 \nL 206.853236 161.998375 \nL 205.652193 164.690442 \nL 204.631677 167.304448 \nL 203.771514 169.843722 \nL 202.460162 174.709706 \nL 201.591551 179.30887 \nL 201.066278 183.658083 \nL 200.809471 187.771622 \nL 200.767346 191.661877 \nL 200.903726 195.339733 \nL 201.196956 198.814756 \nL 201.637418 202.095159 \nL 202.225687 205.187655 \nL 202.971333 208.097136 \nL 203.892311 210.826156 \nL 205.014902 213.374179 \nL 206.374128 215.736449 \nL 208.014638 217.902336 \nL 209.991994 219.852934 \nL 211.127736 220.738503 \nL 212.374324 221.557586 \nL 213.742557 222.303687 \nL 215.244274 222.968836 \nL 216.89241 223.543298 \nL 218.701066 224.015223 \nL 220.685544 224.370265 \nL 222.862377 224.591085 \nL 225.249339 224.656817 \nL 227.865389 224.542429 \nL 230.730586 224.218013 \nL 233.865904 223.647996 \nL 237.292946 222.790283 \nL 241.033501 221.595378 \nL 245.108937 220.005523 \nL 249.539297 217.953972 \nL 254.342113 215.364548 \nL 259.530798 212.151644 \nL 265.112533 208.221039 \nL 271.085602 203.4719 \nL 277.435995 197.800482 \nL 284.133359 191.106169 \nL 291.126181 183.300524 \nL 298.336434 174.31992 \nL 305.653972 164.142125 \nL 312.931252 152.806509 \nL 319.979314 140.436474 \nL 326.566334 127.26111 \nL 332.420453 113.631251 \nL 337.238516 100.02312 \nL 340.702396 87.022041 \nL 342.503329 75.280547 \nL 342.373236 65.449777 \nL 340.119329 58.091639 \nL 335.656297 53.588688 \nL 329.028754 52.075098 \nL 320.417236 53.410479 \nL 310.124495 57.207287 \nL 298.54352 62.905215 \nL 286.113842 69.870477 \nL 273.275532 77.492004 \nL 247.912001 92.763086 \nL 235.978894 99.769984 \nL 224.807929 106.134309 \nL 214.505186 111.805978 \nL 205.11777 116.795039 \nL 189.063739 124.927129 \nL 176.334447 131.043171 \nL 162.293261 137.519411 \nL 150.13586 142.885732 \nL 145.860257 144.6097 \nL 142.345964 145.832298 \nL 139.35979 146.60906 \nL 136.732863 146.97515 \nL 134.349573 146.955447 \nL 132.137909 146.571928 \nL 130.061336 145.849217 \nL 128.112002 144.819029 \nL 126.304739 143.523503 \nL 124.671598 142.017303 \nL 123.256315 140.3684 \nL 122.108572 138.656915 \nL 121.277972 136.972038 \nL 120.8078 135.40696 \nL 120.72906 134.052225 \nL 120.84153 133.479488 \nL 121.055394 132.988362 \nL 121.36906 132.586205 \nL 121.779529 132.278959 \nL 122.282384 132.07106 \nL 122.871879 131.965335 \nL 124.281561 132.063754 \nL 125.939741 132.565523 \nL 127.764781 133.43981 \nL 129.66843 134.638347 \nL 131.562038 136.100936 \nL 133.362098 137.760882 \nL 134.994422 139.549508 \nL 136.396822 141.399422 \nL 137.520253 143.246518 \nL 138.328771 145.030895 \nL 138.798662 146.696981 \nL 138.91715 148.19327 \nL 138.68107 149.47186 \nL 138.095749 150.488169 \nL 137.675929 150.884928 \nL 137.174315 151.200919 \nL 136.593745 151.431586 \nL 135.209589 151.620327 \nL 133.55654 151.421896 \nL 131.677072 150.81528 \nL 129.624233 149.79089 \nL 127.46275 148.354424 \nL 125.269617 146.531169 \nL 123.133652 144.370008 \nL 121.153609 141.946326 \nL 119.434254 139.362606 \nL 118.080267 136.745646 \nL 117.188036 134.239416 \nL 116.940593 133.074819 \nL 116.836101 131.993808 \nL 116.880009 131.013668 \nL 117.075506 130.150178 \nL 117.423349 129.41718 \nL 117.921757 128.82618 \nL 118.566363 128.386048 \nL 119.350247 128.102829 \nL 120.264065 127.979633 \nL 121.296264 128.016662 \nL 122.43335 128.211355 \nL 123.660203 128.558577 \nL 126.316966 129.67918 \nL 129.127974 131.298836 \nL 131.953547 133.319628 \nL 134.66366 135.636588 \nL 137.145708 138.146419 \nL 139.308792 140.752992 \nL 141.084777 143.369825 \nL 142.426874 145.920219 \nL 143.306722 148.336007 \nL 143.710816 150.555604 \nL 143.733438 151.573863 \nL 143.637063 152.521903 \nL 143.422751 153.392988 \nL 143.091973 154.180453 \nL 142.646583 154.877681 \nL 142.088795 155.47809 \nL 141.421194 155.975133 \nL 140.646745 156.362305 \nL 139.768847 156.633186 \nL 138.791372 156.781483 \nL 137.718748 156.801126 \nL 136.556038 156.68635 \nL 135.309037 156.431826 \nL 133.984382 156.032836 \nL 132.589652 155.485447 \nL 131.133512 154.786737 \nL 129.625797 153.935073 \nL 128.077627 152.930344 \nL 124.91136 150.470859 \nL 121.752144 147.450081 \nL 120.218213 145.754101 \nL 118.740342 143.953861 \nL 117.339115 142.068109 \nL 116.035876 140.118891 \nL 114.852354 138.131425 \nL 113.810204 136.13375 \nL 112.930481 134.156255 \nL 112.23301 132.230971 \nL 111.735756 130.390721 \nL 111.454151 128.668159 \nL 111.400436 127.09466 \nL 111.58309 125.699251 \nL 112.006318 124.507509 \nL 112.669703 123.540652 \nL 113.568006 122.814773 \nL 114.691172 122.340344 \nL 116.024521 122.121998 \nL 117.549139 122.158602 \nL 119.242438 122.443617 \nL 121.078855 122.96571 \nL 123.030655 123.709512 \nL 125.06877 124.656521 \nL 127.163673 125.786022 \nL 129.286143 127.075988 \nL 133.50276 130.047484 \nL 137.515787 133.396608 \nL 141.160848 136.966597 \nL 144.316869 140.625138 \nL 146.904228 144.264547 \nL 147.969623 146.049291 \nL 148.878499 147.798069 \nL 149.629434 149.502427 \nL 150.222159 151.154523 \nL 150.657292 152.747001 \nL 150.936139 154.27281 \nL 151.060482 155.725096 \nL 151.032433 157.097065 \nL 150.854284 158.381888 \nL 150.528425 159.572591 \nL 150.057254 160.662006 \nL 149.44316 161.642656 \nL 148.688494 162.506734 \nL 147.795598 163.246058 \nL 146.766856 163.852018 \nL 145.604757 164.315599 \nL 144.312011 164.627384 \nL 142.891661 164.777614 \nL 141.347263 164.756259 \nL 139.683049 164.553146 \nL 137.904146 164.158158 \nL 136.016808 163.561444 \nL 134.028678 162.753748 \nL 131.949046 161.726788 \nL 129.789157 160.473733 \nL 127.562468 158.989764 \nL 125.284957 157.272694 \nL 122.975347 155.323713 \nL 120.655323 153.148137 \nL 118.34966 150.756223 \nL 116.086251 148.163903 \nL 113.896009 145.393503 \nL 111.812621 142.474226 \nL 109.872061 139.44243 \nL 108.111954 136.341547 \nL 106.570661 133.221583 \nL 105.286146 130.138096 \nL 104.294675 127.150669 \nL 103.629302 124.320888 \nL 103.318346 121.70987 \nL 103.383833 119.375523 \nL 103.840108 117.369768 \nL 104.692704 115.735885 \nL 105.937553 114.506389 \nL 107.560721 113.701444 \nL 109.538608 113.328253 \nL 111.83873 113.381214 \nL 114.420951 113.842956 \nL 117.239109 114.686165 \nL 120.242919 115.875778 \nL 123.379972 117.371488 \nL 126.597706 119.130229 \nL 129.845217 121.108414 \nL 133.074773 123.263803 \nL 136.243006 125.556931 \nL 139.311745 127.95202 \nL 142.248485 130.417516 \nL 145.026522 132.926198 \nL 147.624838 135.45505 \nL 150.027744 137.984924 \nL 152.224399 140.500085 \nL 154.208199 142.987702 \nL 155.976154 145.437353 \nL 157.528225 147.840548 \nL 158.866713 150.190298 \nL 159.995662 152.480752 \nL 160.920345 154.706846 \nL 161.646795 156.864057 \nL 162.181414 158.948179 \nL 162.530639 160.955135 \nL 162.70069 162.880811 \nL 162.697339 164.720924 \nL 162.525774 166.470895 \nL 162.190465 168.125749 \nL 161.695117 169.679997 \nL 161.042605 171.127532 \nL 160.235002 172.461534 \nL 159.273576 173.674367 \nL 158.158855 174.757472 \nL 156.890704 175.701246 \nL 155.468426 176.494978 \nL 153.890902 177.126712 \nL 152.156738 177.583192 \nL 150.26447 177.849807 \nL 148.212803 177.910532 \nL 146.000877 177.74799 \nL 143.628608 177.343491 \nL 141.097058 176.677239 \nL 138.408887 175.728595 \nL 135.568867 174.476536 \nL 132.584438 172.900262 \nL 129.466368 170.98001 \nL 126.229438 168.698189 \nL 122.893177 166.040724 \nL 119.482594 162.998737 \nL 116.028901 159.570488 \nL 112.570121 155.763599 \nL 109.151531 151.597346 \nL 105.825859 147.104971 \nL 102.653072 142.335712 \nL 99.699698 137.356247 \nL 97.037546 132.25121 \nL 94.741712 127.122392 \nL 92.887869 122.086288 \nL 91.548895 117.269774 \nL 90.790916 112.803998 \nL 90.669051 108.816772 \nL 91.223252 105.424028 \nL 92.474606 102.721505 \nL 94.422627 100.777506 \nL 97.043868 99.627928 \nL 100.292214 99.274354 \nL 104.100886 99.685418 \nL 108.38597 100.801296 \nL 113.051155 102.540453 \nL 117.993149 104.807748 \nL 123.107186 107.502506 \nL 128.292083 110.52577 \nL 133.454465 113.785891 \nL 138.511884 117.202288 \nL 143.394766 120.707372 \nL 148.047257 124.246846 \nL 152.42711 127.77898 \nL 156.504872 131.27308 \nL 160.26257 134.707689 \nL 163.69212 138.068699 \nL 166.793628 141.347577 \nL 169.573701 144.539881 \nL 172.043885 147.643999 \nL 174.219258 150.660205 \nL 176.117215 153.589929 \nL 177.756456 156.435223 \nL 179.156157 159.198438 \nL 180.335322 161.881956 \nL 181.312278 164.488078 \nL 182.104315 167.018914 \nL 182.727422 169.476355 \nL 183.196131 171.862053 \nL 183.523405 174.177413 \nL 183.720612 176.423584 \nL 183.762288 180.711738 \nL 183.380647 184.730673 \nL 182.611749 188.480149 \nL 181.470269 191.954589 \nL 180.759034 193.585135 \nL 179.951439 195.14166 \nL 179.044103 196.621209 \nL 178.032604 198.020071 \nL 176.911491 199.333664 \nL 175.674315 200.556391 \nL 174.313638 201.68146 \nL 172.82105 202.700694 \nL 171.187189 203.604305 \nL 169.401767 204.38062 \nL 167.453618 205.015789 \nL 165.330751 205.493462 \nL 163.020455 205.794403 \nL 160.50942 205.8961 \nL 157.783948 205.772329 \nL 154.830206 205.392744 \nL 151.634604 204.722447 \nL 148.184273 203.72166 \nL 144.467713 202.34549 \nL 140.475631 200.5439 \nL 136.201997 198.262024 \nL 131.645369 195.440919 \nL 126.810546 192.019014 \nL 121.71052 187.934428 \nL 116.368775 183.128429 \nL 110.821924 177.550351 \nL 105.12252 171.164068 \nL 99.341964 163.956219 \nL 93.57318 155.945954 \nL 87.932653 147.195633 \nL 82.561299 137.821429 \nL 77.62348 128.001958 \nL 73.303391 117.982626 \nL 69.798206 108.072722 \nL 67.307551 98.632803 \nL 66.01937 90.050652 \nL 66.093221 82.706733 \nL 67.642651 76.932753 \nL 70.719333 72.970253 \nL 75.302052 70.93801 \nL 81.292981 70.816218 \nL 88.522907 72.452128 \nL 96.765018 75.586201 \nL 105.755089 79.892347 \nL 115.214611 85.022731 \nL 124.873015 90.647537 \nL 134.485863 96.4834 \nL 152.795299 107.963073 \nL 169.029036 118.406683 \nL 182.724347 127.496 \nL 193.889768 135.303798 \nL 198.605337 138.790882 \nL 202.8056 142.036989 \nL 209.871061 147.903683 \nL 215.50842 153.064669 \nL 220.111779 157.62625 \nL 227.53568 165.15295 \nL 230.87951 168.135303 \nL 232.549606 169.422126 \nL 234.245831 170.565489 \nL 235.9859 171.558332 \nL 237.785509 172.392286 \nL 239.658475 173.057687 \nL 241.61683 173.543576 \nL 243.670868 173.837701 \nL 245.829132 173.926592 \nL 248.098348 173.795614 \nL 250.483293 173.429149 \nL 252.986597 172.810783 \nL 255.608487 171.923673 \nL 258.346452 170.750961 \nL 261.194852 169.276426 \nL 264.144469 167.485237 \nL 267.182017 165.36497 \nL 270.289605 162.906814 \nL 273.444251 160.10697 \nL 276.617387 156.9683 \nL 279.774516 153.502034 \nL 282.874962 149.729586 \nL 285.871918 145.684231 \nL 288.712807 141.412483 \nL 291.340007 136.974976 \nL 293.692121 132.446499 \nL 295.705704 127.915033 \nL 297.317616 123.479467 \nL 298.467787 119.246009 \nL 299.10239 115.323289 \nL 299.177174 111.816383 \nL 298.660665 108.820416 \nL 297.53696 106.414249 \nL 295.807768 104.655117 \nL 293.493361 103.574898 \nL 290.632358 103.178598 \nL 287.280158 103.44512 \nL 283.506271 104.330458 \nL 279.390703 105.772425 \nL 275.019783 107.696619 \nL 270.481876 110.02246 \nL 265.863354 112.668822 \nL 261.245121 115.558613 \nL 256.699927 118.6221 \nL 252.290572 121.798855 \nL 248.068929 125.038533 \nL 244.07577 128.300707 \nL 240.341153 131.554033 \nL 236.885319 134.775081 \nL 233.719815 137.946958 \nL 230.848823 141.058007 \nL 228.270484 144.100557 \nL 225.97821 147.069899 \nL 223.961875 149.96342 \nL 222.208881 152.779927 \nL 220.705078 155.51913 \nL 219.435537 158.181294 \nL 218.385167 160.766921 \nL 217.539221 163.276608 \nL 216.883676 165.710872 \nL 216.405515 168.070099 \nL 216.092929 170.354457 \nL 215.935449 172.563862 \nL 215.92403 174.697913 \nL 216.051087 176.755879 \nL 216.310501 178.736653 \nL 216.697606 180.638684 \nL 217.209155 182.459946 \nL 217.843282 184.197852 \nL 218.599447 185.849173 \nL 219.478388 187.409977 \nL 220.482066 188.875469 \nL 221.613611 190.239898 \nL 222.877263 191.496406 \nL 224.27831 192.636856 \nL 225.82302 193.651641 \nL 227.518574 194.529487 \nL 229.372956 195.257201 \nL 231.394858 195.81944 \nL 233.593524 196.198417 \nL 235.978579 196.37365 \nL 238.55978 196.321673 \nL 241.346723 196.015785 \nL 244.348457 195.425857 \nL 247.573 194.518219 \nL 251.026713 193.255674 \nL 254.713542 191.597762 \nL 258.634088 189.501285 \nL 262.784464 186.921261 \nL 267.154966 183.812434 \nL 271.728509 180.131449 \nL 276.478907 175.839897 \nL 281.368954 170.908292 \nL 286.348504 165.321078 \nL 291.352614 159.082615 \nL 296.300019 152.223878 \nL 301.092224 144.80939 \nL 305.613578 136.943497 \nL 309.732796 128.774846 \nL 313.306306 120.497532 \nL 316.18378 112.347365 \nL 318.215967 104.591939 \nL 319.264636 97.513962 \nL 319.21392 91.388657 \nL 317.981913 86.457546 \nL 315.530923 82.902601 \nL 311.874666 80.825588 \nL 307.080891 80.236895 \nL 301.268502 81.05674 \nL 294.599328 83.128457 \nL 287.265592 86.24109 \nL 279.475005 90.156471 \nL 271.435609 94.635427 \nL 263.342506 99.458813 \nL 255.367686 104.4413 \nL 247.653739 109.437599 \nL 240.311207 114.342298 \nL 233.418999 119.085638 \nL 227.026992 123.626955 \nL 221.159945 127.947601 \nL 215.821983 132.044384 \nL 211.001079 135.924055 \nL 206.673212 139.599088 \nL 202.805975 143.084589 \nL 199.361587 146.39624 \nL 196.299296 149.549002 \nL 193.577246 152.556412 \nL 191.153854 155.430239 \nL 187.043686 160.815003 \nL 183.671576 165.761976 \nL 175.603451 178.232262 \nL 172.984741 181.599078 \nL 171.607202 183.122622 \nL 170.164228 184.532727 \nL 168.641847 185.822761 \nL 167.026714 186.984745 \nL 165.305993 188.009211 \nL 163.467265 188.885022 \nL 161.498482 189.599194 \nL 159.387962 190.136694 \nL 157.124431 190.480241 \nL 154.69713 190.610122 \nL 152.095983 190.504014 \nL 149.311841 190.136851 \nL 146.336835 189.480791 \nL 143.164819 188.505249 \nL 139.79194 187.177156 \nL 136.217359 185.461397 \nL 132.444098 183.321555 \nL 128.480066 180.72113 \nL 124.339238 177.62516 \nL 120.04299 174.002499 \nL 115.621498 169.828788 \nL 111.11524 165.090113 \nL 106.576392 159.787395 \nL 102.070005 153.941289 \nL 97.67479 147.597356 \nL 93.483208 140.830866 \nL 89.600563 133.750581 \nL 86.142862 126.5005 \nL 83.233131 119.258491 \nL 80.996051 112.230835 \nL 79.550962 105.642119 \nL 79.003636 99.7206 \nL 79.437445 94.680026 \nL 80.904864 90.700156 \nL 83.420612 87.908997 \nL 86.957455 86.369812 \nL 91.445693 86.075619 \nL 96.776654 86.952443 \nL 102.809912 88.870609 \nL 109.383308 91.661802 \nL 116.324396 95.13872 \nL 123.461769 99.113583 \nL 130.63493 103.413156 \nL 137.701834 107.888656 \nL 144.543666 112.420555 \nL 151.06696 116.918976 \nL 157.20347 121.321157 \nL 162.908388 125.587055 \nL 168.157508 129.694455 \nL 172.943876 133.634239 \nL 177.274325 137.406236 \nL 181.166211 141.015937 \nL 184.64448 144.472003 \nL 187.739174 147.784514 \nL 190.483378 150.963773 \nL 192.911593 154.019605 \nL 195.058491 156.960969 \nL 196.957994 159.795773 \nL 200.143106 165.171955 \nL 202.704001 170.190851 \nL 205.810174 177.110279 \nL 209.397122 185.275695 \nL 211.227188 188.912141 \nL 213.213861 192.241545 \nL 215.445273 195.244885 \nL 216.679451 196.614985 \nL 218.006895 197.890514 \nL 219.43855 199.064882 \nL 220.985661 200.13012 \nL 222.659843 201.07667 \nL 224.473129 201.893139 \nL 226.437999 202.566011 \nL 228.567369 203.079343 \nL 230.874546 203.414427 \nL 233.373133 203.549407 \nL 236.076855 203.458911 \nL 238.999341 203.113656 \nL 242.153772 202.480091 \nL 245.552419 201.520118 \nL 249.206046 200.190905 \nL 253.1231 198.444949 \nL 257.308716 196.230414 \nL 261.763445 193.49193 \nL 266.481722 190.172033 \nL 271.450007 186.213424 \nL 276.644658 181.562312 \nL 282.029492 176.173018 \nL 287.553209 170.014038 \nL 293.146739 163.075657 \nL 298.720884 155.378836 \nL 304.164534 146.984925 \nL 309.344019 138.005121 \nL 314.104156 128.608097 \nL 318.2717 119.023627 \nL 321.661767 109.539756 \nL 324.087504 100.491231 \nL 325.372998 92.237877 \nL 325.368475 85.133658 \nL 323.966345 79.489542 \nL 321.115595 75.536306 \nL 316.832121 73.394616 \nL 311.202447 73.059622 \nL 304.379582 74.404318 \nL 296.571105 77.201148 \nL 288.021317 81.156888 \nL 278.990366 85.95255 \nL 269.733809 91.279926 \nL 260.485412 96.868835 \nL 242.772173 108.021482 \nL 226.959365 118.337715 \nL 213.541641 127.445075 \nL 207.754588 131.544046 \nL 202.553924 135.364456 \nL 197.902541 138.930452 \nL 193.755749 142.266583 \nL 190.064613 145.395844 \nL 183.846945 151.112351 \nL 178.854049 156.206694 \nL 172.886721 162.847136 \nL 167.872168 168.378579 \nL 164.675151 171.444272 \nL 163.052067 172.779628 \nL 161.387322 173.975389 \nL 159.66427 175.023951 \nL 157.867921 175.916323 \nL 155.98481 176.6421 \nL 154.002927 177.189421 \nL 151.911675 177.544902 \nL 149.701915 177.693668 \nL 147.36604 177.619336 \nL 144.898136 177.304112 \nL 142.294215 176.728965 \nL 139.552501 175.873878 \nL 136.673832 174.718246 \nL 133.662113 173.241472 \nL 130.524859 171.423726 \nL 127.273804 169.246983 \nL 123.925558 166.696342 \nL 120.502323 163.761603 \nL 117.032531 160.439172 \nL 113.55149 156.734193 \nL 110.101819 152.662844 \nL 106.73371 148.254694 \nL 103.504803 143.554803 \nL 100.479612 138.62536 \nL 97.728399 133.546497 \nL 95.325348 128.415814 \nL 93.346064 123.346419 \nL 91.864299 118.463091 \nL 90.948144 113.896597 \nL 90.655821 109.776425 \nL 91.031452 106.222417 \nL 92.101184 103.336253 \nL 93.870179 101.193866 \nL 96.320864 99.83982 \nL 99.412772 99.284504 \nL 103.08411 99.504723 \nL 107.25491 100.447365 \nL 111.83152 102.035764 \nL 116.711897 104.177487 \nL 121.791119 106.77254 \nL 126.966635 109.720927 \nL 132.142713 112.928719 \nL 137.233866 116.312232 \nL 142.167086 119.800466 \nL 146.882969 123.335759 \nL 151.335826 126.873274 \nL 155.493025 130.379661 \nL 159.333796 133.831282 \nL 162.847671 137.212309 \nL 166.032814 140.512934 \nL 168.89432 143.727801 \nL 171.442609 146.854687 \nL 173.691971 149.893448 \nL 175.659312 152.845275 \nL 177.363083 155.712103 \nL 178.822406 158.496237 \nL 180.056381 161.200063 \nL 181.083548 163.825913 \nL 181.921491 166.375958 \nL 182.586555 168.852148 \nL 183.093654 171.256195 \nL 183.456162 173.589571 \nL 183.685855 175.853486 \nL 183.785903 180.176567 \nL 183.45643 184.230173 \nL 182.736397 188.014643 \nL 181.643118 191.525176 \nL 180.956496 193.17448 \nL 180.174237 194.750435 \nL 179.293235 196.250257 \nL 178.309335 197.670444 \nL 177.217351 199.00666 \nL 176.011089 200.253585 \nL 174.683366 201.404755 \nL 173.226022 202.452381 \nL 171.62994 203.387112 \nL 169.885069 204.1978 \nL 167.980463 204.871192 \nL 165.904338 205.391624 \nL 163.644158 205.740647 \nL 161.186751 205.896645 \nL 158.518493 205.834404 \nL 155.625555 205.524689 \nL 152.494236 204.933824 \nL 149.111422 204.023334 \nL 145.465184 202.749661 \nL 141.545553 201.064094 \nL 137.345527 198.912971 \nL 132.862324 196.238295 \nL 128.098932 192.978982 \nL 123.065987 189.072937 \nL 117.783998 184.460184 \nL 112.285874 179.087382 \nL 106.619738 172.913868 \nL 100.851812 165.919444 \nL 95.069169 158.113757 \nL 89.382008 149.54683 \nL 83.924902 140.31985 \nL 78.856337 130.594524 \nL 74.355878 120.598778 \nL 70.618226 110.626088 \nL 67.843605 101.025517 \nL 66.224589 92.180779 \nL 65.929884 84.478143 \nL 67.086711 78.266245 \nL 69.764218 73.813854 \nL 73.9609 71.274146 \nL 79.598771 70.663791 \nL 86.526204 71.862941 \nL 94.529631 74.636356 \nL 103.352357 78.67094 \nL 112.7173 83.620238 \nL 122.349822 89.146394 \nL 131.997182 94.951912 \nL 150.512296 106.509475 \nL 167.056908 117.118948 \nL 181.091846 126.386082 \nL 192.576134 134.350165 \nL 197.43467 137.904394 \nL 201.764651 141.210604 \nL 209.047754 147.179498 \nL 214.848457 152.424786 \nL 219.566315 157.059601 \nL 227.101403 164.720345 \nL 230.455678 167.771171 \nL 232.122298 169.093935 \nL 233.810076 170.274846 \nL 235.537276 171.30718 \nL 237.320103 172.182906 \nL 239.17285 172.892701 \nL 241.108005 173.425939 \nL 243.136309 173.770709 \nL 245.26676 173.913838 \nL 247.506561 173.841005 \nL 249.861005 173.536824 \nL 252.3333 172.985066 \nL 254.924318 172.168967 \nL 257.632283 171.071643 \nL 260.452403 169.676634 \nL 263.376433 167.968691 \nL 266.392167 165.934676 \nL 269.482966 163.564722 \nL 272.627207 160.853608 \nL 275.797815 157.80233 \nL 278.961843 154.419796 \nL 282.080224 150.724634 \nL 285.107738 146.74691 \nL 287.993257 142.529613 \nL 290.68038 138.12968 \nL 293.108561 133.618266 \nL 295.21472 129.080082 \nL 296.935419 124.611454 \nL 298.209528 120.317075 \nL 298.981336 116.30542 \nL 299.20383 112.683024 \nL 298.841976 109.548151 \nL 297.87565 106.984381 \nL 296.301879 105.054924 \nL 294.136123 103.798421 \nL 291.41234 103.226808 \nL 288.181801 103.325542 \nL 284.510652 104.056138 \nL 280.476533 105.360612 \nL 276.164513 107.167187 \nL 271.662794 109.396354 \nL 267.05858 111.966681 \nL 262.434442 114.799714 \nL 257.865407 117.823626 \nL 253.416948 120.975477 \nL 249.143788 124.202323 \nL 245.089533 127.461252 \nL 241.28694 130.718675 \nL 237.758678 133.94925 \nL 234.518423 137.134529 \nL 231.572138 140.261611 \nL 228.919406 143.321905 \nL 226.554749 146.310013 \nL 224.468859 149.222845 \nL 222.649695 152.058892 \nL 221.08344 154.81767 \nL 219.755311 157.499316 \nL 218.650217 160.104297 \nL 217.753293 162.633183 \nL 217.050307 165.086529 \nL 216.527969 167.464751 \nL 216.174148 169.76808 \nL 215.978029 171.99648 \nL 215.9302 174.149647 \nL 216.022706 176.226932 \nL 216.249052 178.227315 \nL 216.604207 180.149363 \nL 217.084567 181.99118 \nL 217.687916 183.750312 \nL 218.413383 185.423711 \nL 219.261385 187.007615 \nL 220.233578 188.49745 \nL 221.332797 189.887721 \nL 222.563003 191.171858 \nL 223.929225 192.342054 \nL 225.437488 193.389088 \nL 227.094746 194.302116 \nL 228.908784 195.068448 \nL 230.888124 195.673293 \nL 233.041881 196.099504 \nL 235.379593 196.327292 \nL 237.910999 196.333959 \nL 240.645757 196.093637 \nL 243.593085 195.57707 \nL 246.761291 194.751478 \nL 250.157198 193.580545 \nL 253.785418 192.024603 \nL 257.647463 190.041088 \nL 261.740659 187.585376 \nL 266.056862 184.612134 \nL 270.580964 181.077343 \nL 275.289184 176.941087 \nL 280.147232 172.171283 \nL 285.108337 166.748468 \nL 290.111385 160.671508 \nL 295.079284 153.964193 \nL 299.917878 146.682123 \nL 304.515732 138.919273 \nL 308.745279 130.813015 \nL 312.465642 122.546234 \nL 315.527614 114.344937 \nL 317.780959 106.469968 \nL 319.083811 99.201964 \nL 319.313782 92.820133 \nL 318.379615 87.576591 \nL 316.231916 83.670082 \nL 312.871268 81.22359 \nL 308.352055 80.27051 \nL 302.781007 80.75267 \nL 296.310236 82.530772 \nL 289.125629 85.405084 \nL 281.432346 89.141865 \nL 273.439538 93.500187 \nL 265.346457 98.254554 \nL 257.331441 103.210545 \nL 249.544667 108.212803 \nL 242.104637 113.146383 \nL 235.097896 117.933242 \nL 228.581182 122.526156 \nL 222.585087 126.901628 \nL 217.118449 131.053159 \nL 212.172873 134.985441 \nL 207.726986 138.709824 \nL 203.750191 142.240962 \nL 200.205828 145.594513 \nL 197.053722 148.785684 \nL 194.252175 151.828396 \nL 191.759457 154.734858 \nL 187.539565 160.178662 \nL 184.09258 165.179047 \nL 174.676687 179.562381 \nL 171.999708 182.773996 \nL 170.576094 184.214642 \nL 169.076597 185.537176 \nL 167.487733 186.733984 \nL 165.796548 187.796016 \nL 163.990522 188.712595 \nL 162.057514 189.471238 \nL 159.985742 190.05747 \nL 157.763808 190.45463 \nL 155.380795 190.643656 \nL 152.82641 190.602923 \nL 150.091216 190.308086 \nL 147.166946 189.73202 \nL 144.046921 188.844834 \nL 140.726592 187.614035 \nL 137.204212 186.004955 \nL 133.481656 183.98137 \nL 129.565395 181.506594 \nL 125.467649 178.544974 \nL 121.207643 175.064012 \nL 116.813065 171.037108 \nL 112.321487 166.447063 \nL 107.781849 161.290283 \nL 103.255698 155.581584 \nL 98.818108 149.359324 \nL 94.55798 142.690392 \nL 90.577454 135.674393 \nL 86.990122 128.446015 \nL 83.917767 121.174631 \nL 81.485434 114.060008 \nL 79.814867 107.323462 \nL 79.01654 101.194343 \nL 79.180856 95.892595 \nL 80.369471 91.609302 \nL 82.60781 88.488103 \nL 85.880072 86.610585 \nL 90.127653 85.988583 \nL 95.251573 86.56505 \nL 101.118776 88.223387 \nL 107.571559 90.803369 \nL 114.438811 94.120453 \nL 121.547524 97.984951 \nL 128.733201 102.218247 \nL 135.848093 106.664099 \nL 142.766721 111.194823 \nL 149.388694 115.712708 \nL 155.639107 120.148105 \nL 161.467135 124.455391 \nL 166.843415 128.60814 \nL 171.756775 132.594226 \nL 176.210762 136.411511 \nL 180.220293 140.064321 \nL 183.808623 143.56072 \nL 187.004722 146.910584 \nL 189.841108 150.124285 \nL 192.352101 153.211859 \nL 194.572489 156.182547 \nL 196.536517 159.044555 \nL 198.277183 161.805002 \nL 201.211479 167.044492 \nL 203.600588 171.93842 \nL 207.474938 180.77994 \nL 210.151431 186.623806 \nL 212.037932 190.144284 \nL 214.115753 193.350704 \nL 215.253645 194.829241 \nL 216.471768 196.219371 \nL 217.780854 197.515905 \nL 219.191819 198.712501 \nL 220.715852 199.801473 \nL 222.364494 200.773596 \nL 224.149691 201.617856 \nL 226.083825 202.321181 \nL 228.179719 202.868136 \nL 230.450585 203.240595 \nL 232.909947 203.417369 \nL 235.571495 203.37383 \nL 238.448855 203.081522 \nL 241.555282 202.50781 \nL 244.903216 201.615562 \nL 248.503705 200.362962 \nL 252.36566 198.703514 \nL 256.494882 196.586317 \nL 260.892852 193.956767 \nL 265.555267 190.757865 \nL 270.470232 186.932296 \nL 275.616208 182.425531 \nL 280.959624 177.190162 \nL 286.452328 171.191672 \nL 292.028962 164.415721 \nL 297.604534 156.87676 \nL 303.072487 148.627621 \nL 308.303797 139.769064 \nL 313.147682 130.457849 \nL 317.434504 120.911286 \nL 320.981586 111.40583 \nL 323.602197 102.267341 \nL 325.117836 93.851564 \nL 325.373013 86.514933 \nL 324.251206 80.578514 \nL 321.689713 76.290402 \nL 317.690888 73.793998 \nL 312.327283 73.109448 \nL 305.739086 74.133182 \nL 298.1237 76.656083 \nL 289.718935 80.396133 \nL 280.782579 85.037785 \nL 271.571691 90.269543 \nL 262.324712 95.813171 \nL 244.509753 106.983989 \nL 228.508022 117.396725 \nL 214.869132 126.622403 \nL 203.666036 134.653818 \nL 198.916337 138.27022 \nL 194.679595 141.652754 \nL 190.907662 144.824691 \nL 187.550232 147.806899 \nL 181.878225 153.270686 \nL 177.280234 158.151298 \nL 166.780397 169.76762 \nL 163.574167 172.64154 \nL 161.923395 173.874977 \nL 160.217549 174.963447 \nL 158.441287 175.898281 \nL 156.580799 176.669397 \nL 154.62372 177.26526 \nL 152.559093 177.672816 \nL 150.377383 177.877496 \nL 148.070547 177.863209 \nL 145.632172 177.612397 \nL 143.057693 177.1062 \nL 140.344673 176.324653 \nL 137.493165 175.247065 \nL 134.506163 173.85255 \nL 131.390131 172.12075 \nL 128.155599 170.032787 \nL 124.817813 167.572519 \nL 121.397447 164.728059 \nL 117.921294 161.493609 \nL 114.42291 157.871562 \nL 110.943121 153.874808 \nL 107.530368 149.529103 \nL 104.240695 144.875318 \nL 101.137311 139.971249 \nL 98.289621 134.892718 \nL 95.771596 129.73352 \nL 93.659396 124.603859 \nL 92.02832 119.627008 \nL 90.949032 114.934039 \nL 90.483421 110.65686 \nL 90.680246 106.919909 \nL 91.571088 103.831525 \nL 93.167022 101.475832 \nL 95.456458 99.906421 \nL 98.404549 99.14272 \nL 101.954295 99.169677 \nL 106.02937 99.9407 \nL 110.538329 101.383535 \nL 115.379846 103.407894 \nL 120.448282 105.913817 \nL 125.63913 108.799572 \nL 130.853735 111.968248 \nL 136.003062 115.332501 \nL 141.010254 118.817406 \nL 145.812026 122.361545 \nL 150.359007 125.916729 \nL 154.615257 129.446785 \nL 158.557142 132.925823 \nL 162.171839 136.336302 \nL 165.455649 139.667196 \nL 168.412277 142.912306 \nL 171.05117 146.068874 \nL 173.386011 149.136465 \nL 175.433406 152.116135 \nL 177.211749 155.0098 \nL 178.740301 157.819811 \nL 180.038445 160.54866 \nL 181.125116 163.198793 \nL 182.018365 165.772509 \nL 182.735051 168.271884 \nL 183.290634 170.698775 \nL 183.699042 173.054775 \nL 183.972606 175.341244 \nL 184.156481 179.709751 \nL 183.909104 183.810203 \nL 183.27339 187.644347 \nL 182.270386 191.209126 \nL 181.632257 192.887949 \nL 180.901313 194.495472 \nL 180.074885 196.029314 \nL 179.149256 197.486445 \nL 178.119675 198.863067 \nL 176.980388 200.154493 \nL 175.724647 201.354996 \nL 174.344727 202.45763 \nL 172.831936 203.454032 \nL 171.176635 204.33419 \nL 169.368257 205.086157 \nL 167.395357 205.695762 \nL 165.245667 206.146265 \nL 162.906194 206.417968 \nL 160.363361 206.487804 \nL 157.603207 206.32891 \nL 154.611651 205.910183 \nL 151.374888 205.195858 \nL 147.879878 204.145168 \nL 144.115031 202.712103 \nL 140.071044 200.845416 \nL 135.74203 198.488944 \nL 131.12687 195.582439 \nL 126.230933 192.06308 \nL 121.068077 187.867947 \nL 115.663061 182.937653 \nL 110.054229 177.221495 \nL 104.296421 170.684266 \nL 98.463941 163.314812 \nL 92.653245 155.136139 \nL 86.984961 146.216464 \nL 81.604643 136.679982 \nL 76.681533 126.715441 \nL 72.404586 116.579945 \nL 68.975082 106.595114 \nL 66.595408 97.132836 \nL 65.454307 88.589341 \nL 65.709484 81.348583 \nL 67.469659 75.739257 \nL 70.778755 71.992906 \nL 75.605335 70.212079 \nL 81.839964 70.356877 \nL 89.301736 72.25374 \nL 97.753438 75.624856 \nL 106.922899 80.13094 \nL 116.526799 85.417072 \nL 126.292989 91.152277 \nL 145.380168 102.913984 \nL 162.752553 113.940975 \nL 177.680517 123.642996 \nL 190.000025 131.973407 \nL 199.903941 139.113966 \nL 207.762466 145.288996 \nL 214.002356 150.686413 \nL 219.038244 155.437723 \nL 228.648916 164.909563 \nL 232.017127 167.772925 \nL 233.703754 168.99629 \nL 235.418807 170.073163 \nL 237.179516 170.996213 \nL 239.00106 171.756831 \nL 240.896691 172.345133 \nL 242.877815 172.749998 \nL 244.954024 172.959106 \nL 247.133078 172.958995 \nL 249.420809 172.735191 \nL 251.820995 172.272402 \nL 254.33513 171.554773 \nL 256.96217 170.566272 \nL 259.698188 169.291207 \nL 262.535981 167.71489 \nL 265.464642 165.824498 \nL 268.469074 163.610112 \nL 271.529521 161.065942 \nL 274.621086 158.191793 \nL 277.713381 154.994619 \nL 280.77023 151.490191 \nL 283.749584 147.70475 \nL 286.603726 143.676432 \nL 289.279783 139.456326 \nL 291.720655 135.108961 \nL 293.866441 130.711863 \nL 295.656354 126.354085 \nL 297.031114 122.133527 \nL 297.935756 118.15295 \nL 298.322688 114.514972 \nL 298.154812 111.316223 \nL 297.40837 108.641407 \nL 296.075286 106.557667 \nL 294.164662 105.1102 \nL 291.703213 104.319577 \nL 288.734553 104.181165 \nL 285.317299 104.666748 \nL 281.522159 105.728098 \nL 277.428322 107.301819 \nL 273.119481 109.31499 \nL 268.679865 111.690692 \nL 264.190594 114.352924 \nL 259.726693 117.230505 \nL 255.35484 120.259747 \nL 251.13193 123.385901 \nL 247.104414 126.563636 \nL 243.308296 129.756671 \nL 239.769665 132.936943 \nL 236.505601 136.083438 \nL 233.525294 139.180966 \nL 230.831302 142.218935 \nL 228.420799 145.190287 \nL 226.286779 148.090534 \nL 224.419148 150.917054 \nL 222.805706 153.668458 \nL 221.432974 156.344152 \nL 220.286892 158.944007 \nL 219.353384 161.4681 \nL 218.618805 163.916567 \nL 218.070281 166.28945 \nL 217.695963 168.58664 \nL 217.485207 170.807787 \nL 217.428688 172.952251 \nL 217.518472 175.019064 \nL 217.74805 177.006862 \nL 218.112335 178.913848 \nL 218.607654 180.737716 \nL 219.231701 182.475596 \nL 219.983509 184.123954 \nL 220.863391 185.678508 \nL 221.872891 187.134115 \nL 223.014721 188.484636 \nL 224.292698 189.72279 \nL 225.71168 190.840001 \nL 227.277482 191.826194 \nL 228.996786 192.669603 \nL 230.877039 193.35655 \nL 232.926318 193.871188 \nL 235.153163 194.195272 \nL 237.566377 194.307897 \nL 240.174753 194.185271 \nL 242.986755 193.800513 \nL 246.01009 193.123525 \nL 249.251191 192.120958 \nL 252.714558 190.756367 \nL 256.401972 188.990568 \nL 260.311524 186.782355 \nL 264.436481 184.089624 \nL 268.763924 180.871087 \nL 273.273271 177.088635 \nL 277.934562 172.710541 \nL 282.706736 167.715546 \nL 287.535874 162.097833 \nL 292.353634 155.87278 \nL 297.076131 149.083164 \nL 301.603489 141.805241 \nL 305.820505 134.153777 \nL 309.598726 126.284905 \nL 312.80037 118.395452 \nL 315.284262 110.717347 \nL 316.913782 103.506305 \nL 317.566495 97.024633 \nL 317.144686 91.51944 \nL 315.585594 87.198853 \nL 312.869902 84.209953 \nL 309.026946 82.622695 \nL 304.135509 82.423234 \nL 298.319644 83.518217 \nL 291.739918 85.74936 \nL 284.581255 88.915021 \nL 277.039188 92.794522 \nL 269.306399 97.170674 \nL 261.561254 101.847218 \nL 253.959347 106.659739 \nL 246.628473 111.480043 \nL 239.66679 116.215405 \nL 233.143576 120.804437 \nL 227.101818 125.211157 \nL 221.561866 129.418807 \nL 216.525523 133.424135 \nL 211.980107 137.232625 \nL 207.902183 140.854826 \nL 204.260824 144.303705 \nL 201.020307 147.592835 \nL 198.142296 150.735269 \nL 195.587517 153.742909 \nL 193.317021 156.626187 \nL 189.47976 162.053694 \nL 186.352554 167.071534 \nL 182.476502 173.899431 \nL 179.006202 179.926717 \nL 176.663134 183.494732 \nL 174.15006 186.680547 \nL 172.795128 188.119772 \nL 171.357285 189.448896 \nL 169.824001 190.660647 \nL 168.182973 191.746311 \nL 166.42203 192.695555 \nL 164.529077 193.496222 \nL 162.492078 194.134091 \nL 160.299081 194.592635 \nL 157.938284 194.852783 \nL 155.398173 194.89264 \nL 152.667737 194.687278 \nL 149.73675 194.208537 \nL 146.596175 193.424913 \nL 143.238677 192.301563 \nL 139.659296 190.80051 \nL 135.856263 188.881105 \nL 131.832008 186.500857 \nL 127.594377 183.616745 \nL 123.158024 180.187134 \nL 118.545999 176.174457 \nL 113.79151 171.548762 \nL 108.939709 166.292192 \nL 104.049464 160.404365 \nL 99.194839 153.908534 \nL 94.466103 146.857982 \nL 89.969895 139.342138 \nL 85.828134 131.491247 \nL 82.175338 123.478368 \nL 79.153987 115.517215 \nL 76.907739 107.854615 \nL 75.572622 100.756799 \nL 75.266713 94.489897 \nL 76.079196 89.296301 \nL 78.060256 85.370157 \nL 81.213248 82.836171 \nL 85.490764 81.735891 \nL 90.795546 82.024755 \nL 96.986518 83.580458 \nL 103.889238 86.2212 \nL 111.309234 89.729621 \nL 119.046334 93.877857 \nL 126.907942 98.449247 \nL 134.719796 103.253969 \nL 142.333391 108.137637 \nL 149.629833 112.983586 \nL 156.520614 117.710451 \nL 162.945989 122.266907 \nL 168.871774 126.625264 \nL 174.285343 130.775143 \nL 179.191358 134.717898 \nL 183.607711 138.462146 \nL 187.561861 142.020403 \nL 191.087725 145.406734 \nL 194.223122 148.635207 \nL 197.007768 151.718959 \nL 199.481742 154.669705 \nL 201.684365 157.497562 \nL 205.424631 162.816986 \nL 208.504623 167.727364 \nL 215.973902 180.225202 \nL 218.436665 183.647474 \nL 219.738542 185.208907 \nL 221.106263 186.664446 \nL 222.553161 188.008121 \nL 224.092113 189.232704 \nL 225.735663 190.329556 \nL 227.49612 191.288434 \nL 229.385616 192.097305 \nL 231.416129 192.742108 \nL 233.599471 193.206554 \nL 235.94721 193.471866 \nL 238.470532 193.516559 \nL 241.180053 193.316221 \nL 244.085515 192.843367 \nL 247.195407 192.067342 \nL 250.516439 190.954372 \nL 254.052906 189.467798 \nL 257.805875 187.568551 \nL 261.772211 185.216034 \nL 265.943406 182.369429 \nL 270.304238 178.989585 \nL 274.831239 175.04167 \nL 279.491073 170.498582 \nL 284.2388 165.345268 \nL 289.016295 159.583864 \nL 293.750868 153.239438 \nL 298.354414 146.366005 \nL 302.723391 139.052116 \nL 306.739946 131.425004 \nL 310.274634 123.652184 \nL 313.190908 115.939109 \nL 315.351646 108.521812 \nL 316.627494 101.653786 \nL 316.906625 95.58769 \nL 316.104942 90.553298 \nL 314.175525 86.734812 \nL 311.11586 84.251163 \nL 306.971473 83.143459 \nL 301.83503 83.372006 \nL 295.840731 84.823986 \nL 289.1546 87.330062 \nL 281.962017 90.68638 \nL 274.454341 94.677812 \nL 266.816405 99.098291 \nL 259.216248 103.765708 \nL 251.797967 108.530429 \nL 244.677823 113.277882 \nL 237.943283 117.926805 \nL 231.654339 122.424595 \nL 225.846364 126.741512 \nL 220.533819 130.864809 \nL 215.714231 134.793473 \nL 211.372057 138.533966 \nL 207.482187 142.09694 \nL 204.012951 145.494919 \nL 200.928618 148.74077 \nL 198.191365 151.846702 \nL 195.762813 154.823775 \nL 193.605141 157.681663 \nL 189.958502 163.07134 \nL 186.98418 168.065492 \nL 182.166624 176.978321 \nL 179.967171 180.918505 \nL 177.716534 184.509551 \nL 175.296586 187.733068 \nL 173.989682 189.197556 \nL 172.601339 190.556829 \nL 171.119311 191.804137 \nL 169.531496 192.931365 \nL 167.82585 193.928836 \nL 165.990312 194.78511 \nL 164.01278 195.486753 \nL 161.88111 196.018071 \nL 159.583182 196.360857 \nL 157.106997 196.494096 \nL 154.44086 196.39371 \nL 151.57363 196.032311 \nL 148.495077 195.379006 \nL 145.196353 194.399322 \nL 141.670595 193.055259 \nL 137.913702 191.3056 \nL 133.925279 189.106519 \nL 129.709803 186.412638 \nL 125.277989 183.17869 \nL 120.648378 179.361848 \nL 115.849115 174.924995 \nL 110.919865 169.84093 \nL 105.913744 164.097645 \nL 100.899144 157.704516 \nL 95.96115 150.699159 \nL 91.202273 143.154357 \nL 86.74211 135.18411 \nL 82.715475 126.947606 \nL 79.268559 118.649423 \nL 76.552897 110.534574 \nL 74.716966 102.877031 \nL 73.895816 95.961545 \nL 74.19947 90.05978 \nL 75.701394 85.403602 \nL 78.428668 82.159778 \nL 82.355639 80.410863 \nL 87.402474 80.146556 \nL 93.439254 81.267696 \nL 100.295349 83.602136 \nL 107.772763 86.929011 \nL 115.661406 91.006253 \nL 123.754077 95.596154 \nL 131.859233 100.485084 \nL 139.810357 105.495601 \nL 147.471432 110.491014 \nL 154.738826 115.374188 \nL 161.540284 120.082475 \nL 167.831932 124.580895 \nL 173.594131 128.85501 \nL 178.826931 132.904528 \nL 183.5456 136.738051 \nL 187.776559 140.369081 \nL 191.553889 143.813184 \nL 194.91645 147.086128 \nL 197.905591 150.20272 \nL 200.563408 153.1762 \nL 202.931445 156.017987 \nL 206.956497 161.342885 \nL 210.274876 166.233289 \nL 217.047789 176.725125 \nL 219.64143 180.23255 \nL 220.988955 181.829796 \nL 222.391322 183.316855 \nL 223.863118 184.687904 \nL 225.418174 185.935876 \nL 227.069718 187.052308 \nL 228.830477 188.027185 \nL 230.712757 188.848776 \nL 232.728477 189.50344 \nL 234.889162 189.975437 \nL 237.205873 190.246731 \nL 239.689093 190.2968 \nL 242.34852 190.102495 \nL 245.192791 189.637935 \nL 248.229113 188.874498 \nL 251.46276 187.780937 \nL 254.896477 186.323687 \nL 258.529706 184.46743 \nL 262.357684 182.175987 \nL 266.370376 179.413659 \nL 270.551249 176.147066 \nL 274.875937 172.347661 \nL 279.310787 167.99489 \nL 283.811443 163.080101 \nL 288.321503 157.61106 \nL 292.771495 151.616938 \nL 297.07834 145.153317 \nL 301.145582 138.306654 \nL 304.864714 131.197352 \nL 308.117849 123.980452 \nL 310.781936 116.842925 \nL 312.73467 109.996644 \nL 313.861882 103.666769 \nL 314.065955 98.075903 \nL 313.274519 93.425481 \nL 311.44838 89.876871 \nL 308.587467 87.53521 \nL 304.733725 86.439069 \nL 299.970272 86.557932 \nL 294.416575 87.798326 \nL 288.220252 90.017224 \nL 281.546546 93.040063 \nL 274.566954 96.679966 \nL 267.448412 100.755028 \nL 260.344282 105.101447 \nL 253.387833 109.581562 \nL 246.688423 114.087016 \nL 240.330216 118.538062 \nL 234.372903 122.880326 \nL 228.853858 127.080288 \nL 223.791157 131.120423 \nL 219.18694 134.99473 \nL 215.030794 138.704937 \nL 211.302878 142.257498 \nL 207.976678 145.661412 \nL 205.021334 148.926667 \nL 202.403528 152.063252 \nL 200.088966 155.080556 \nL 198.043506 157.987061 \nL 196.233972 160.790209 \nL 193.198012 166.111037 \nL 190.75173 171.083069 \nL 187.769289 177.944377 \nL 184.290876 186.050865 \nL 182.501936 189.665445 \nL 180.552346 192.978476 \nL 178.356471 195.971599 \nL 177.140076 197.339191 \nL 175.830668 198.614141 \nL 174.417438 199.790038 \nL 172.889247 200.859111 \nL 171.234552 201.812026 \nL 169.441355 202.637631 \nL 167.497171 203.322687 \nL 165.389037 203.851549 \nL 163.10355 204.205817 \nL 160.626956 204.363965 \nL 157.945294 204.300941 \nL 155.04464 203.987764 \nL 151.911405 203.391157 \nL 148.532792 202.473203 \nL 144.897385 201.191152 \nL 140.995913 199.497386 \nL 136.822243 197.339702 \nL 132.374612 194.662016 \nL 127.657154 191.405671 \nL 122.681741 187.51158 \nL 117.470112 182.9234 \nL 112.056337 177.592038 \nL 106.489471 171.481591 \nL 100.83626 164.576918 \nL 95.183718 156.892631 \nL 89.641094 148.483061 \nL 84.340836 139.452239 \nL 79.437885 129.962305 \nL 75.106624 120.238239 \nL 71.534836 110.566231 \nL 68.91427 101.28337 \nL 67.427868 92.756939 \nL 67.234277 85.353605 \nL 68.451324 79.40157 \nL 71.140595 75.151381 \nL 75.296041 72.743256 \nL 80.838953 72.188672 \nL 87.62115 73.371116 \nL 95.436276 76.066487 \nL 104.037669 79.978105 \nL 113.159768 84.778126 \nL 122.539497 90.146407 \nL 131.934541 95.800025 \nL 149.978045 107.109152 \nL 166.124954 117.568071 \nL 179.845531 126.776899 \nL 191.089698 134.75354 \nL 195.850984 138.333764 \nL 200.096034 141.67611 \nL 203.87458 144.804724 \nL 210.238372 150.503334 \nL 215.345876 155.56269 \nL 221.442359 162.126799 \nL 226.552413 167.557934 \nL 229.801106 170.543666 \nL 231.447294 171.834883 \nL 233.133489 172.983602 \nL 234.876335 173.982098 \nL 236.690726 174.821297 \nL 238.58992 175.490751 \nL 240.585621 175.978581 \nL 242.688 176.271489 \nL 244.905653 176.354769 \nL 247.245517 176.212364 \nL 249.712699 175.826963 \nL 252.310252 175.180252 \nL 255.038863 174.253175 \nL 257.896473 173.026438 \nL 260.877824 171.481106 \nL 263.973944 169.599458 \nL 267.17155 167.366051 \nL 270.452441 164.769048 \nL 273.792862 161.801818 \nL 277.162921 158.464776 \nL 280.526089 154.767435 \nL 283.838873 150.730518 \nL 287.050726 146.388032 \nL 290.104357 141.789038 \nL 292.93645 136.998842 \nL 295.479005 132.099294 \nL 297.661254 127.187843 \nL 299.412276 122.375075 \nL 300.664191 117.780611 \nL 301.355833 113.52734 \nL 301.436667 109.734397 \nL 300.870602 106.509441 \nL 299.639309 103.94109 \nL 297.744623 102.09247 \nL 295.209734 100.996823 \nL 292.078821 100.655868 \nL 288.415225 101.041013 \nL 284.298116 102.097477 \nL 279.818196 103.750331 \nL 275.072724 105.911774 \nL 270.16046 108.488452 \nL 265.177025 111.388069 \nL 260.210986 114.524576 \nL 255.340912 117.821651 \nL 250.63353 121.214632 \nL 246.142863 124.650995 \nL 241.910241 128.08976 \nL 237.964986 131.500256 \nL 234.325576 134.860507 \nL 231.001083 138.155564 \nL 227.992729 141.375888 \nL 225.295443 144.515972 \nL 222.899329 147.573175 \nL 220.790998 150.546783 \nL 218.954716 153.437323 \nL 217.373385 156.246056 \nL 216.029343 158.9746 \nL 214.905005 161.624716 \nL 213.983354 164.198108 \nL 213.248318 166.69635 \nL 212.685027 169.120823 \nL 212.279995 171.472685 \nL 212.021224 173.752837 \nL 211.898265 175.961918 \nL 211.902229 178.100287 \nL 212.025772 180.168019 \nL 212.263059 182.164859 \nL 212.609717 184.090211 \nL 213.062778 185.943097 \nL 213.620621 187.722102 \nL 214.282918 189.425327 \nL 215.050574 191.050292 \nL 215.925684 192.593871 \nL 216.911484 194.052181 \nL 218.012314 195.420459 \nL 219.233577 196.692918 \nL 220.58171 197.862595 \nL 222.064143 198.921145 \nL 223.689262 199.858631 \nL 225.466359 200.663286 \nL 227.405568 201.321219 \nL 229.517778 201.816121 \nL 231.814519 202.128927 \nL 234.307796 202.237462 \nL 237.009879 202.11607 \nL 239.932999 201.735259 \nL 243.088974 201.061391 \nL 246.488691 200.056423 \nL 250.141457 198.677821 \nL 254.054166 196.878675 \nL 258.230253 194.60814 \nL 262.668412 191.812371 \nL 267.361028 188.436077 \nL 272.29235 184.424917 \nL 277.436352 179.728976 \nL 282.754402 174.307472 \nL 288.192753 168.134852 \nL 293.680099 161.208271 \nL 299.12541 153.556263 \nL 304.4165 145.247888 \nL 309.419707 136.401404 \nL 313.981387 127.190789 \nL 317.931765 117.848029 \nL 321.091641 108.658895 \nL 323.282239 99.95027 \nL 324.337884 92.06803 \nL 324.120733 85.346657 \nL 322.535744 80.07391 \nL 319.543874 76.456537 \nL 315.170905 74.593953 \nL 309.509862 74.466236 \nL 302.715968 75.939706 \nL 294.994488 78.789087 \nL 286.583317 82.731136 \nL 277.733145 87.4619 \nL 268.688373 92.69027 \nL 259.671297 98.162444 \nL 242.438303 109.080057 \nL 227.078754 119.210384 \nL 214.053721 128.202057 \nL 208.436733 132.268307 \nL 203.388846 136.070547 \nL 198.873937 139.631009 \nL 194.848661 142.97241 \nL 191.265624 146.116121 \nL 188.0758 149.081163 \nL 182.681755 154.537407 \nL 178.297441 159.437917 \nL 168.183683 171.225781 \nL 165.053468 174.188047 \nL 163.434237 175.471474 \nL 161.756076 176.613908 \nL 160.003776 177.60676 \nL 158.163496 178.439973 \nL 156.222667 179.101976 \nL 154.169964 179.579615 \nL 151.995302 179.858065 \nL 149.689904 179.920825 \nL 147.24644 179.749726 \nL 144.659236 179.325005 \nL 141.92455 178.625487 \nL 139.040947 177.628847 \nL 136.009753 176.312103 \nL 132.835592 174.65225 \nL 129.52705 172.62715 \nL 126.097348 170.216743 \nL 122.565151 167.404562 \nL 118.955345 164.179589 \nL 115.299832 160.538494 \nL 111.638239 156.488107 \nL 108.01843 152.048121 \nL 104.496729 147.253804 \nL 101.137767 142.158372 \nL 98.013723 136.834759 \nL 95.202928 131.376318 \nL 92.787604 125.895919 \nL 90.850802 120.523152 \nL 89.472497 115.399306 \nL 88.725083 110.670176 \nL 88.668461 106.477069 \nL 89.345265 102.946867 \nL 90.776655 100.182342 \nL 92.959329 98.253907 \nL 95.864111 97.194344 \nL 99.436551 96.997097 \nL 103.599496 97.618657 \nL 108.25744 98.984486 \nL 113.30218 100.99747 \nL 118.619122 103.547583 \nL 124.093534 106.521242 \nL 129.616157 109.809359 \nL 135.087734 113.313217 \nL 140.42214 116.948113 \nL 145.548204 120.644824 \nL 150.410259 124.349403 \nL 154.967677 128.021814 \nL 159.193676 131.633882 \nL 163.073664 135.167055 \nL 166.603321 138.610188 \nL 169.786666 141.957583 \nL 172.634185 145.207367 \nL 175.161128 148.360171 \nL 177.386026 151.418201 \nL 179.32943 154.384503 \nL 181.012879 157.26251 \nL 182.458084 160.055713 \nL 183.686292 162.767474 \nL 184.717818 165.400944 \nL 185.571714 167.958976 \nL 186.265548 170.444157 \nL 186.815274 172.858796 \nL 187.537843 177.484398 \nL 187.833697 181.849498 \nL 187.771763 185.96463 \nL 187.398036 189.837391 \nL 186.738276 193.472398 \nL 185.800449 196.870769 \nL 184.576638 200.029232 \nL 183.044312 202.9387 \nL 182.151584 204.295134 \nL 181.166947 205.582183 \nL 180.083655 206.795999 \nL 178.894065 207.931805 \nL 177.589621 208.98373 \nL 176.160825 209.944606 \nL 174.597221 210.805746 \nL 172.887376 211.556675 \nL 171.018874 212.184808 \nL 168.978327 212.675107 \nL 166.751407 213.009664 \nL 164.322908 213.167233 \nL 161.676878 213.122737 \nL 158.796786 212.846696 \nL 155.665797 212.304671 \nL 152.26715 211.456681 \nL 148.584696 210.256671 \nL 144.603601 208.652124 \nL 140.311315 206.583873 \nL 135.698789 203.986283 \nL 130.762071 200.788011 \nL 125.504278 196.913585 \nL 119.938012 192.286127 \nL 114.088257 186.831586 \nL 107.995713 180.484861 \nL 101.720469 173.198201 \nL 95.345811 164.951965 \nL 88.981816 155.76766 \nL 82.768165 145.72241 \nL 76.87539 134.963363 \nL 71.503626 123.719329 \nL 66.877742 112.306052 \nL 63.237971 101.120948 \nL 60.825357 90.623304 \nL 59.862455 81.29828 \nL 60.530712 73.606372 \nL 62.947333 67.925252 \nL 67.145701 64.495437 \nL 73.06369 63.382965 \nL 80.543192 64.470097 \nL 89.342168 67.477542 \nL 99.157587 72.013035 \nL 109.654994 77.633089 \nL 120.499189 83.902937 \nL 142.03555 96.951238 \nL 179.036572 119.538942 \nL 199.231372 131.915321 \nL 209.368929 138.395162 \nL 217.369567 143.808748 \nL 223.71862 148.379712 \nL 236.991098 158.199609 \nL 240.53698 160.309062 \nL 242.27259 161.142113 \nL 244.00952 161.821631 \nL 245.76374 162.342046 \nL 247.548492 162.696982 \nL 249.374423 162.879423 \nL 251.249682 162.881875 \nL 253.179983 162.696574 \nL 255.168599 162.315728 \nL 257.216345 161.731786 \nL 259.32151 160.937816 \nL 261.479759 159.927893 \nL 263.684012 158.69758 \nL 265.924317 157.244494 \nL 268.187719 155.568897 \nL 270.458157 153.674402 \nL 272.716382 151.568627 \nL 274.939982 149.263919 \nL 277.103438 146.777988 \nL 279.178364 144.134437 \nL 281.133853 141.363133 \nL 282.936995 138.500308 \nL 284.553612 135.588328 \nL 285.949161 132.675071 \nL 287.089838 129.812875 \nL 287.943815 127.057017 \nL 288.482609 124.463804 \nL 288.682455 122.088323 \nL 288.525667 119.982038 \nL 288.001796 118.190346 \nL 287.108539 116.750423 \nL 285.85232 115.689464 \nL 284.248409 115.02351 \nL 282.320608 114.75704 \nL 280.100485 114.883293 \nL 277.626194 115.385325 \nL 274.940968 116.23756 \nL 272.091441 117.407845 \nL 269.125878 118.859544 \nL 266.092452 120.553702 \nL 263.037675 122.450948 \nL 260.00511 124.513077 \nL 257.034325 126.704278 \nL 254.160195 128.991923 \nL 251.412503 131.34702 \nL 248.81583 133.74434 \nL 246.389668 136.162317 \nL 244.148718 138.582762 \nL 242.103324 140.990504 \nL 240.260008 143.372958 \nL 238.622022 145.719685 \nL 237.189934 148.022001 \nL 235.96217 150.272582 \nL 234.935545 152.465128 \nL 234.10573 154.594088 \nL 233.46767 156.654395 \nL 233.015934 158.641274 \nL 232.745023 160.550048 \nL 232.649605 162.375994 \nL 232.724704 164.114206 \nL 232.965851 165.759465 \nL 233.369178 167.306134 \nL 233.931478 168.748067 \nL 234.650232 170.078476 \nL 235.523606 171.289861 \nL 236.550416 172.373895 \nL 237.730063 173.321347 \nL 239.062445 174.121975 \nL 240.547826 174.764446 \nL 242.186705 175.236303 \nL 243.979619 175.523889 \nL 245.926922 175.612355 \nL 248.028535 175.485685 \nL 250.283633 175.126798 \nL 252.690297 174.517738 \nL 255.245095 173.639943 \nL 257.942632 172.474681 \nL 260.775025 171.003603 \nL 263.731336 169.209536 \nL 266.796944 167.07746 \nL 269.952934 164.595744 \nL 273.175427 161.757602 \nL 276.434999 158.562812 \nL 279.696164 155.019609 \nL 282.917026 151.14663 \nL 286.049153 146.974878 \nL 289.037797 142.549384 \nL 291.822536 137.930406 \nL 294.33842 133.193792 \nL 296.517717 128.430272 \nL 298.29226 123.743357 \nL 299.596364 119.245737 \nL 300.370206 115.054179 \nL 300.563464 111.283136 \nL 300.13893 108.03766 \nL 299.075695 105.406233 \nL 297.371611 103.454554 \nL 295.044605 102.220988 \nL 292.132665 101.71446 \nL 288.69239 101.91496 \nL 284.796189 102.776747 \nL 280.528426 104.233563 \nL 275.980864 106.205184 \nL 271.247938 108.604249 \nL 266.422239 111.342601 \nL 261.590657 114.336525 \nL 256.831356 117.510496 \nL 252.211726 120.799345 \nL 247.787316 124.149184 \nL 243.601594 127.517125 \nL 239.68641 130.870343 \nL 236.062954 134.184685 \nL 232.743031 137.443129 \nL 229.730496 140.6343 \nL 227.022726 143.751079 \nL 224.612042 146.789466 \nL 222.487006 149.74762 \nL 220.633576 152.625158 \nL 219.036092 155.422575 \nL 217.678092 158.140876 \nL 216.542986 160.781294 \nL 215.614567 163.34509 \nL 214.877421 165.833456 \nL 214.317208 168.247405 \nL 213.920869 170.587746 \nL 213.676766 172.855041 \nL 213.574743 175.04958 \nL 213.606165 177.171345 \nL 213.763924 179.220004 \nL 214.042405 181.194869 \nL 214.437451 183.094848 \nL 214.946319 184.918418 \nL 215.567622 186.663552 \nL 216.301281 188.327637 \nL 217.148464 189.907402 \nL 218.111544 191.398817 \nL 219.194045 192.796967 \nL 220.400593 194.09592 \nL 221.736877 195.28856 \nL 223.209598 196.366408 \nL 224.826413 197.319412 \nL 226.59587 198.135707 \nL 228.527335 198.801363 \nL 230.630883 199.300092 \nL 232.917165 199.612936 \nL 235.397232 199.71795 \nL 238.082302 199.589874 \nL 240.983445 199.199829 \nL 244.111177 198.515062 \nL 247.474952 197.49877 \nL 251.082492 196.110104 \nL 254.938959 194.304368 \nL 259.045916 192.033582 \nL 263.400084 189.247502 \nL 267.991835 185.895262 \nL 272.803425 181.927832 \nL 277.807027 177.301455 \nL 282.962543 171.982236 \nL 288.215364 165.951944 \nL 293.494211 159.214998 \nL 298.709347 151.806369 \nL 303.751499 143.799697 \nL 308.491962 135.31468 \nL 312.7844 126.522187 \nL 316.468839 117.645281 \nL 319.378274 108.954111 \nL 321.348033 100.753274 \nL 322.227566 93.360975 \nL 321.893764 87.081217 \nL 320.264327 82.172482 \nL 317.309185 78.817849 \nL 313.057862 77.102686 \nL 307.601066 77.005161 \nL 301.085658 78.401984 \nL 293.703453 81.088329 \nL 285.67548 84.807484 \nL 277.234237 89.283563 \nL 268.606606 94.25098 \nL 259.999604 99.476267 \nL 251.590436 104.770403 \nL 235.896998 115.045971 \nL 222.237231 124.445438 \nL 216.256114 128.755135 \nL 210.839672 132.808655 \nL 205.966513 136.6205 \nL 201.604264 140.209119 \nL 197.713303 143.594046 \nL 194.249766 146.794089 \nL 191.167874 149.826294 \nL 188.421681 152.705467 \nL 183.75891 158.05201 \nL 179.928902 162.906031 \nL 172.207997 173.095457 \nL 169.299585 176.395102 \nL 167.799278 177.866981 \nL 166.245235 179.21281 \nL 164.621861 180.425421 \nL 162.914676 181.496265 \nL 161.110198 182.415279 \nL 159.195851 183.170789 \nL 157.159919 183.749367 \nL 154.991559 184.135704 \nL 152.680864 184.312517 \nL 150.21899 184.260476 \nL 147.59836 183.958151 \nL 144.812946 183.382085 \nL 141.85865 182.506955 \nL 138.733779 181.305855 \nL 135.43962 179.750842 \nL 131.981152 177.813671 \nL 128.367847 175.466893 \nL 124.614589 172.685321 \nL 120.742685 169.447942 \nL 116.780891 165.74029 \nL 112.76646 161.557332 \nL 108.746079 156.906706 \nL 104.776551 151.812286 \nL 100.925147 146.317728 \nL 97.269391 140.489613 \nL 93.896076 134.419694 \nL 90.899363 128.225557 \nL 88.377786 122.049088 \nL 86.430107 116.052165 \nL 85.150123 110.409241 \nL 84.620658 105.297026 \nL 84.907227 100.881928 \nL 86.052002 97.306753 \nL 88.068864 94.678306 \nL 90.940265 93.057961 \nL 94.616545 92.456921 \nL 99.017915 92.836907 \nL 104.039103 94.116332 \nL 109.556004 96.180692 \nL 115.43366 98.895356 \nL 121.53447 102.118559 \nL 127.725813 105.712875 \nL 133.886285 109.553822 \nL 139.910189 113.535224 \nL 145.710175 117.57146 \nL 151.218158 121.597189 \nL 156.384816 125.565428 \nL 161.17811 129.444674 \nL 165.581128 133.215691 \nL 169.589649 136.868493 \nL 173.209654 140.399665 \nL 176.454949 143.81017 \nL 179.345041 147.103694 \nL 181.9033 150.285405 \nL 184.155419 153.36111 \nL 186.128185 156.33671 \nL 187.848509 159.217868 \nL 189.342697 162.00981 \nL 190.635931 164.717271 \nL 191.751906 167.344501 \nL 193.538224 172.372881 \nL 194.85558 177.120377 \nL 195.829071 181.607414 \nL 196.854667 187.886057 \nL 197.767024 195.48645 \nL 199.239675 208.37937 \nL 199.929559 212.515482 \nL 200.801157 216.307853 \nL 201.520466 218.653044 \nL 202.381375 220.854764 \nL 203.415981 222.912768 \nL 204.662861 224.823284 \nL 206.168705 226.577561 \nL 207.990205 228.1597 \nL 210.196226 229.543495 \nL 211.468881 230.148894 \nL 212.870264 230.687752 \nL 214.413537 231.151456 \nL 216.113113 231.529452 \nL 217.984736 231.808832 \nL 220.04555 231.973873 \nL 222.314141 232.00547 \nL 224.810561 231.880482 \nL 227.556294 231.570971 \nL 230.574166 231.043328 \nL 233.888166 230.257305 \nL 237.523114 229.164932 \nL 241.504201 227.70941 \nL 245.856252 225.824012 \nL 250.602707 223.431102 \nL 255.764204 220.4415 \nL 261.356657 216.754418 \nL 267.388708 212.258399 \nL 273.85844 206.833778 \nL 280.74922 200.357402 \nL 288.024611 192.710396 \nL 295.622373 183.789973 \nL 303.447753 173.526036 \nL 311.366475 161.903013 \nL 319.198269 148.986329 \nL 326.712275 134.951323 \nL 333.626099 120.110019 \nL 339.610843 104.928382 \nL 344.30449 90.024291 \nL 347.335328 76.136153 \nL 348.355793 64.055594 \nL 347.083901 54.526732 \nL 343.346597 48.127668 \nL 337.115907 45.162506 \nL 328.528039 45.597291 \nL 317.878271 49.064264 \nL 305.590117 54.936774 \nL 292.1649 62.451886 \nL 278.123311 70.842341 \nL 250.064312 87.744531 \nL 236.780736 95.417281 \nL 224.324717 102.280488 \nL 212.831826 108.271911 \nL 202.365067 113.408528 \nL 192.93224 117.753977 \nL 184.502271 121.394322 \nL 177.018936 124.422134 \nL 170.411574 126.92695 \nL 159.514499 130.684327 \nL 151.198594 133.201038 \nL 144.915612 134.865003 \nL 138.337222 136.337928 \nL 129.837217 138.015764 \nL 129.620347 138.251122 \nL 129.596241 138.532876 \nL 129.804534 139.052891 \nL 131.118499 141.590769 \nL 131.24296 142.438244 \nL 131.109102 142.919552 \nL 130.773949 143.217339 \nL 130.253698 143.298448 \nL 129.583209 143.145604 \nL 128.813701 142.760586 \nL 127.74601 141.929025 \nL 126.790372 140.842633 \nL 126.119284 139.674774 \nL 125.88863 138.869259 \nL 125.933184 138.220283 \nL 126.121037 137.911478 \nL 126.430422 137.721417 \nL 126.850318 137.660785 \nL 127.649898 137.820731 \nL 128.585385 138.269675 \nL 129.567467 138.967669 \nL 130.502188 139.851595 \nL 131.300796 140.842743 \nL 131.887999 141.854506 \nL 132.20779 142.79931 \nL 132.226879 143.594412 \nL 132.067071 144.004718 \nL 131.772494 144.29743 \nL 131.351323 144.45763 \nL 130.816408 144.474395 \nL 129.839851 144.218296 \nL 128.723311 143.628266 \nL 127.560715 142.736771 \nL 126.45852 141.609211 \nL 125.527534 140.342559 \nL 124.871854 139.058766 \nL 124.575759 137.892482 \nL 124.605223 137.245328 \nL 124.823141 136.742478 \nL 125.225018 136.410796 \nL 125.796867 136.268544 \nL 126.515787 136.324331 \nL 127.351215 136.576829 \nL 128.741998 137.298484 \nL 130.17568 138.366451 \nL 131.513932 139.680598 \nL 132.631436 141.123629 \nL 133.42678 142.572475 \nL 133.828699 143.906929 \nL 133.857625 144.677552 \nL 133.690466 145.317775 \nL 133.330189 145.801033 \nL 132.785961 146.104584 \nL 132.073037 146.210274 \nL 131.212668 146.105418 \nL 130.231998 145.783825 \nL 129.163897 145.2469 \nL 128.046576 144.504784 \nL 126.373231 143.053008 \nL 124.84522 141.296575 \nL 123.988457 140.033294 \nL 123.315395 138.761788 \nL 122.866528 137.543864 \nL 122.673635 136.442112 \nL 122.756928 135.515546 \nL 123.122707 134.815117 \nL 123.762092 134.379795 \nL 124.6509 134.233686 \nL 125.750916 134.384674 \nL 127.012388 134.824619 \nL 128.377418 135.530974 \nL 129.783844 136.469444 \nL 131.169155 137.597122 \nL 132.473927 138.865682 \nL 133.644633 140.22419 \nL 134.635531 141.621319 \nL 135.409764 143.006936 \nL 135.939723 144.333114 \nL 136.206904 145.554708 \nL 136.201462 146.629648 \nL 135.921686 147.519185 \nL 135.373522 148.188178 \nL 134.570287 148.605628 \nL 133.532612 148.745487 \nL 132.288594 148.587926 \nL 130.874099 148.120956 \nL 129.333087 147.342492 \nL 127.71773 146.262596 \nL 126.088119 144.905758 \nL 124.511289 143.312701 \nL 123.059293 141.541308 \nL 121.806178 139.666047 \nL 120.823769 137.77545 \nL 120.176498 135.967283 \nL 119.91572 134.341676 \nL 120.074185 132.992849 \nL 120.314652 132.447938 \nL 120.6616 132.000568 \nL 121.112221 131.657238 \nL 121.662081 131.422748 \nL 122.305192 131.30013 \nL 123.034124 131.29062 \nL 124.713374 131.607113 \nL 126.617668 132.348693 \nL 128.653802 133.469926 \nL 130.724796 134.909577 \nL 132.736702 136.597085 \nL 134.604101 138.458204 \nL 136.25386 140.419334 \nL 137.627064 142.410265 \nL 138.679381 144.365537 \nL 139.380271 146.224741 \nL 139.711527 147.932138 \nL 139.665604 149.436065 \nL 139.244121 150.688218 \nL 138.895276 151.205619 \nL 138.456761 151.643341 \nL 137.930969 151.996217 \nL 137.320765 152.259307 \nL 136.629498 152.427954 \nL 135.019864 152.465009 \nL 133.140055 152.078058 \nL 131.038439 151.247263 \nL 128.775318 149.966179 \nL 126.424221 148.246477 \nL 124.072486 146.122975 \nL 121.82047 143.658135 \nL 119.778872 140.944943 \nL 118.063546 138.106571 \nL 116.787745 135.291665 \nL 116.346885 133.944074 \nL 116.052005 132.664368 \nL 115.911832 131.473069 \nL 115.932925 130.389657 \nL 116.119343 129.431987 \nL 116.472462 128.615778 \nL 116.990801 127.95414 \nL 117.66995 127.457216 \nL 118.50263 127.131928 \nL 119.478799 126.98186 \nL 120.585897 127.007276 \nL 121.809145 127.205281 \nL 123.131914 127.570076 \nL 124.536177 128.09331 \nL 127.512754 129.571514 \nL 130.583773 131.538656 \nL 133.599738 133.880666 \nL 136.427444 136.482343 \nL 138.95666 139.235349 \nL 141.102803 142.04231 \nL 142.806228 144.817786 \nL 144.029301 147.487136 \nL 144.752294 149.984297 \nL 144.923935 151.149364 \nL 144.969122 152.249183 \nL 144.888615 153.276774 \nL 144.6836 154.225248 \nL 144.355642 155.087759 \nL 143.906642 155.857463 \nL 143.338809 156.527495 \nL 142.654674 157.090968 \nL 141.857094 157.540952 \nL 140.949314 157.870523 \nL 139.935004 158.072802 \nL 138.818351 158.14102 \nL 137.604146 158.068622 \nL 136.297905 157.849381 \nL 134.905972 157.477578 \nL 133.435668 156.94818 \nL 131.89543 156.257108 \nL 130.294934 155.401459 \nL 128.64524 154.379871 \nL 126.958931 153.192829 \nL 125.250187 151.843032 \nL 123.534854 150.335785 \nL 121.830504 148.679355 \nL 120.156354 146.88533 \nL 118.533195 144.968867 \nL 116.983196 142.948927 \nL 115.529628 140.84832 \nL 114.196476 138.693621 \nL 113.007975 136.514911 \nL 111.987988 134.34526 \nL 111.159369 132.220055 \nL 110.543195 130.176036 \nL 110.158 128.250216 \nL 110.019004 126.478601 \nL 110.137363 124.894911 \nL 110.519552 123.52926 \nL 111.166876 122.406987 \nL 112.075167 121.547686 \nL 113.234735 120.964518 \nL 114.630497 120.66388 \nL 116.242385 120.645429 \nL 118.045968 120.902448 \nL 120.013244 121.422548 \nL 122.113559 122.188565 \nL 124.314609 123.179637 \nL 126.583422 124.372315 \nL 128.887339 125.741679 \nL 131.194839 127.262294 \nL 133.476282 128.909068 \nL 137.855069 132.486227 \nL 141.84161 136.299928 \nL 145.303683 140.206863 \nL 146.809888 142.158704 \nL 148.156527 144.093252 \nL 149.339165 146.000094 \nL 150.355239 147.869923 \nL 151.203733 149.694361 \nL 151.88487 151.46572 \nL 152.399828 153.176856 \nL 152.750472 154.820966 \nL 152.939141 156.391467 \nL 152.968447 157.881839 \nL 152.84112 159.285507 \nL 152.559902 160.595746 \nL 152.12744 161.805581 \nL 151.546252 162.907699 \nL 150.818698 163.894369 \nL 149.94699 164.7574 \nL 148.933231 165.48809 \nL 147.779492 166.077184 \nL 146.487896 166.514872 \nL 145.06076 166.790819 \nL 143.500739 166.894194 \nL 141.811014 166.813765 \nL 139.995523 166.538057 \nL 138.059184 166.055531 \nL 136.008189 165.354855 \nL 133.850297 164.425283 \nL 131.59516 163.257075 \nL 129.254659 161.842083 \nL 126.843252 160.174388 \nL 124.378304 158.251088 \nL 121.880401 156.073144 \nL 119.373586 153.646346 \nL 116.885542 150.982249 \nL 114.447623 148.099151 \nL 112.094742 145.022883 \nL 109.865071 141.787463 \nL 107.799465 138.435393 \nL 105.940673 135.017515 \nL 104.3322 131.59234 \nL 103.016953 128.224706 \nL 102.0356 124.983794 \nL 101.424769 121.940511 \nL 101.215177 119.164398 \nL 101.429786 116.720179 \nL 102.082187 114.664385 \nL 103.175342 113.042268 \nL 104.700833 111.885384 \nL 106.638691 111.210098 \nL 108.957932 111.017228 \nL 111.617701 111.292791 \nL 114.568988 112.009747 \nL 117.756772 113.130581 \nL 121.122376 114.610266 \nL 124.605914 116.399438 \nL 128.14854 118.447288 \nL 131.694484 120.704094 \nL 135.192621 123.12316 \nL 138.597648 125.662153 \nL 141.870782 128.283865 \nL 144.980055 130.956434 \nL 147.900246 133.653235 \nL 150.612518 136.352463 \nL 153.103872 139.03656 \nL 155.366446 141.691598 \nL 157.39675 144.306617 \nL 159.194894 146.873044 \nL 160.763834 149.384127 \nL 162.108664 151.834509 \nL 163.235985 154.219799 \nL 164.153347 156.536282 \nL 164.86877 158.780648 \nL 165.390358 160.949787 \nL 165.725966 163.040619 \nL 165.882953 165.049959 \nL 165.867982 166.974375 \nL 165.686889 168.810095 \nL 165.34458 170.552905 \nL 164.844974 172.198044 \nL 164.190986 173.740116 \nL 163.384526 175.172964 \nL 162.42653 176.489571 \nL 161.317015 177.68196 \nL 160.055157 178.741055 \nL 158.639376 179.65656 \nL 157.067472 180.416838 \nL 155.336758 181.008784 \nL 153.444255 181.417728 \nL 151.386892 181.627312 \nL 149.16177 181.619462 \nL 146.766469 181.374355 \nL 144.199409 180.8705 \nL 141.46029 180.084874 \nL 138.550597 178.993255 \nL 135.474185 177.570658 \nL 132.237961 175.792054 \nL 128.852653 173.633336 \nL 125.333632 171.072596 \nL 121.70183 168.091811 \nL 117.984655 164.678854 \nL 114.216886 160.82998 \nL 110.441488 156.552562 \nL 106.710196 151.868073 \nL 103.083806 146.815052 \nL 99.631987 141.451752 \nL 96.432446 135.858025 \nL 93.56934 130.135975 \nL 91.130775 124.408809 \nL 89.205365 118.817482 \nL 87.877876 113.514823 \nL 87.224207 108.657278 \nL 87.306005 104.394709 \nL 88.165462 100.85928 \nL 89.820902 98.154883 \nL 89.820902 98.154883 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p4db2748fd2\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.077647pt\" version=\"1.1\" viewBox=\"0 0 293.25711 285.077647\" width=\"293.25711pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:24:49.543230</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.077647 \nL 293.25711 285.077647 \nL 293.25711 -0 \nL 0 -0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 34.182794 209.947421 \nL 121.698823 135.932537 \nL 120.752966 29.526202 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 65.012016 220.016244 \nL 150.871812 144.411973 \nL 151.174721 37.23723 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.535906 230.311947 \nL 180.647205 153.066504 \nL 182.252064 45.11443 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 128.778211 240.842284 \nL 211.043854 161.90161 \nL 214.006418 53.163233 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 161.763773 251.615368 \nL 242.081408 170.923002 \nL 246.460151 61.389308 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 34.94483 209.302944 \nL 32.655454 211.239137 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(16.099268 233.241623)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 65.760307 219.357333 \nL 63.51219 221.336924 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(46.960062 243.523786)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 97.269636 229.63811 \nL 95.06523 231.662575 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(85.88997 254.038514)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 129.496518 240.153009 \nL 127.338412 242.22389 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(114.989509 264.793788)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 162.465747 250.910118 \nL 160.356675 253.029031 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(148.017333 275.797959)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 36.765775 84.127934 \nL 41.467178 195.816476 \nL 189.630902 243.325081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 52.104454 72.934465 \nL 56.076997 183.570236 \nL 202.862746 229.745953 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 67.007997 62.058538 \nL 70.29006 171.656565 \nL 215.716614 216.554723 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.494662 51.48683 \nL 84.12231 160.062099 \nL 228.208472 203.735003 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 95.581698 41.206752 \nL 97.588851 148.774177 \nL 240.353402 191.271317 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.285418 31.206402 \nL 110.703997 137.780801 \nL 252.165659 179.149036 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 188.382827 242.924886 \nL 192.130253 244.126496 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(191.860505 264.234923)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 201.62718 229.35727 \nL 205.337003 230.524303 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(204.914779 250.454854)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 214.493355 216.177061 \nL 218.166179 217.310988 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(224.967027 237.06865)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 226.997323 203.367901 \nL 230.633746 204.470111 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(234.109583 224.059661)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 239.154166 190.914337 \nL 242.75478 191.986142 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(246.090935 211.412166)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 250.978142 178.801766 \nL 254.54353 179.844407 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(257.743914 199.111302)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.144051 154.110124 \nL 114.939295 113.784602 \nL 26.261927 186.280371 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.018585 135.012546 \nL 114.726801 95.305555 \nL 25.3195 166.710262 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.906725 115.617834 \nL 114.51116 76.552875 \nL 24.361845 146.823929 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.808792 95.919 \nL 114.292302 57.520437 \nL 23.388589 126.613645 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.725115 75.908834 \nL 114.070155 38.201935 \nL 22.399349 106.07143 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.950086 153.771547 \nL 259.534846 154.78809 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.182394 159.144657)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 256.815054 134.67904 \nL 260.428554 135.680362 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.195872 140.085537)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 257.693476 115.2896 \nL 261.336179 116.275101 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.225069 120.730793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 258.585665 95.596244 \nL 262.258047 96.565304 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.270355 101.073493)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 259.49195 75.591771 \nL 263.194497 76.543745 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 50 -->\n     <g transform=\"translate(273.33211 81.106486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_21\">\n    <path clip-path=\"url(#p1aba1b2806)\" d=\"M 140.834959 191.303065 \nL 141.039667 190.491453 \nL 141.52714 189.88732 \nL 142.273938 189.377129 \nL 143.906024 188.620255 \nL 158.317471 182.749798 \nL 163.314518 180.379185 \nL 169.435398 177.197382 \nL 176.853165 172.916711 \nL 181.091967 170.253183 \nL 185.695954 167.172697 \nL 190.661399 163.620618 \nL 195.968997 159.542663 \nL 201.577913 154.889509 \nL 207.418476 149.623794 \nL 213.383757 143.730129 \nL 219.32042 137.228618 \nL 225.020019 130.191919 \nL 230.212624 122.764931 \nL 234.56592 115.184428 \nL 237.694013 107.793403 \nL 239.181175 101.041721 \nL 238.624929 95.462033 \nL 235.699562 91.6104 \nL 230.233103 89.968469 \nL 222.279486 90.820711 \nL 212.157619 94.143025 \nL 200.429897 99.554018 \nL 187.812189 106.368541 \nL 162.738465 120.895833 \nL 151.345237 127.203411 \nL 141.095317 132.324624 \nL 132.058488 136.152148 \nL 124.195807 138.749015 \nL 117.412437 140.270837 \nL 111.595557 140.904628 \nL 106.636535 140.831496 \nL 102.441213 140.209512 \nL 98.932834 139.169763 \nL 96.050976 137.819278 \nL 93.748642 136.246456 \nL 91.98872 134.526653 \nL 90.740379 132.72667 \nL 89.975769 130.907801 \nL 89.667177 129.127394 \nL 89.784823 127.439171 \nL 90.295317 125.892534 \nL 91.160895 124.531317 \nL 92.33937 123.392291 \nL 93.784744 122.503753 \nL 95.448369 121.884497 \nL 97.280442 121.543408 \nL 99.231654 121.479663 \nL 101.254811 121.683594 \nL 103.306223 122.138061 \nL 105.346803 122.820172 \nL 107.342786 123.703143 \nL 109.266062 124.75809 \nL 111.094192 125.955647 \nL 112.810135 127.267313 \nL 114.401786 128.666422 \nL 115.86138 130.128824 \nL 117.184844 131.633241 \nL 118.371129 133.161408 \nL 120.339335 136.230459 \nL 121.795374 139.244891 \nL 122.782664 142.148617 \nL 123.347655 144.910934 \nL 123.532688 147.51804 \nL 123.371841 149.966339 \nL 122.888872 152.25746 \nL 122.096538 154.394606 \nL 120.99675 156.379762 \nL 119.581261 158.211357 \nL 117.832724 159.882 \nL 115.726173 161.375992 \nL 113.231159 162.666299 \nL 110.314961 163.710791 \nL 108.689247 164.122443 \nL 106.947566 164.44762 \nL 105.087848 164.674641 \nL 103.109352 164.789921 \nL 101.01315 164.77782 \nL 98.802682 164.620561 \nL 96.484422 164.2982 \nL 94.068636 163.788716 \nL 91.570222 163.068286 \nL 89.009621 162.111758 \nL 86.413732 160.893458 \nL 83.816791 159.388364 \nL 81.261074 157.573724 \nL 78.797313 155.431192 \nL 76.48461 152.949461 \nL 74.389699 150.127347 \nL 72.585266 146.977124 \nL 71.147243 143.527812 \nL 70.150917 139.827918 \nL 69.665973 135.947056 \nL 69.750787 131.975737 \nL 70.446456 128.022779 \nL 71.771448 124.209996 \nL 73.717683 120.664279 \nL 76.248937 117.507774 \nL 79.302095 114.847407 \nL 82.79132 112.765364 \nL 86.614626 111.312163 \nL 90.661914 110.503424 \nL 94.823197 110.320848 \nL 98.995923 110.716923 \nL 103.090475 111.622315 \nL 107.033535 112.954414 \nL 110.769299 114.625664 \nL 114.25898 116.550591 \nL 117.479095 118.650928 \nL 120.419098 120.858725 \nL 123.078796 123.117695 \nL 125.465857 125.3832 \nL 127.59359 127.621303 \nL 129.479085 129.807361 \nL 132.601963 133.961605 \nL 134.997849 137.775394 \nL 136.825371 141.236043 \nL 138.226124 144.360425 \nL 139.783747 148.481691 \nL 142.680835 156.86064 \nL 143.815232 159.227046 \nL 144.691523 160.598719 \nL 145.704143 161.806651 \nL 146.88932 162.845469 \nL 148.286734 163.703642 \nL 149.941055 164.362493 \nL 151.903206 164.794726 \nL 154.231258 164.962402 \nL 156.990675 164.814314 \nL 160.253417 164.282811 \nL 164.095044 163.280342 \nL 168.588422 161.696465 \nL 171.098805 160.645411 \nL 173.791916 159.396921 \nL 176.669462 157.931179 \nL 179.729064 156.227942 \nL 182.962889 154.267385 \nL 186.356015 152.031322 \nL 189.884531 149.504903 \nL 193.513393 146.678883 \nL 197.194149 143.552525 \nL 200.862669 140.137157 \nL 204.437198 136.460285 \nL 207.817082 132.570019 \nL 210.882758 128.539309 \nL 213.497692 124.469181 \nL 215.512992 120.489838 \nL 216.775379 116.758228 \nL 217.138868 113.450608 \nL 216.47975 110.749128 \nL 214.713615 108.822565 \nL 211.81173 107.802974 \nL 207.813252 107.762427 \nL 202.829424 108.695444 \nL 197.037125 110.513027 \nL 190.661556 113.051748 \nL 183.951092 116.097187 \nL 170.473242 122.789642 \nL 158.130783 129.034759 \nL 147.708307 134.034145 \nL 139.351062 137.708849 \nL 130.174952 141.401613 \nL 123.969202 143.924218 \nL 120.926167 145.333586 \nL 117.344085 147.294591 \nL 110.552035 151.344067 \nL 108.526733 152.247053 \nL 106.352394 152.958897 \nL 104.00354 153.42809 \nL 101.475601 153.598244 \nL 98.787011 153.408719 \nL 95.982728 152.79683 \nL 94.559551 152.313475 \nL 93.138463 151.702706 \nL 91.73432 150.958871 \nL 90.364213 150.077801 \nL 89.047385 149.057305 \nL 87.805038 147.897716 \nL 86.660009 146.602484 \nL 85.636288 145.178739 \nL 84.758362 143.637796 \nL 84.050408 141.995563 \nL 83.535323 140.272743 \nL 83.233654 138.494801 \nL 83.16246 136.691603 \nL 83.33422 134.89672 \nL 83.755856 133.146358 \nL 84.427969 131.47797 \nL 85.344405 129.928609 \nL 86.492191 128.533156 \nL 87.851886 127.32258 \nL 89.398352 126.322402 \nL 91.101857 125.551457 \nL 92.929431 125.021179 \nL 94.846359 124.735367 \nL 96.817669 124.69048 \nL 98.809502 124.876406 \nL 100.79027 125.27757 \nL 102.731539 125.87424 \nL 104.608631 126.643912 \nL 106.400906 127.562637 \nL 108.091829 128.606204 \nL 109.668803 129.751098 \nL 111.122864 130.975224 \nL 112.44827 132.258401 \nL 113.64204 133.582661 \nL 115.633685 136.294021 \nL 117.111413 139.010528 \nL 118.105028 141.664627 \nL 118.65037 144.212985 \nL 118.782221 146.629293 \nL 118.529854 148.898006 \nL 117.91464 151.009239 \nL 116.949179 152.954676 \nL 115.637539 154.724229 \nL 113.97638 156.303073 \nL 111.956914 157.66879 \nL 109.567816 158.788459 \nL 106.799426 159.615557 \nL 105.271853 159.90037 \nL 103.649699 160.086882 \nL 101.935257 160.164158 \nL 100.132477 160.119983 \nL 98.247393 159.940878 \nL 96.288582 159.612229 \nL 94.267675 159.11848 \nL 92.19987 158.443489 \nL 90.104456 157.571028 \nL 88.005286 156.48551 \nL 85.931158 155.172902 \nL 83.916012 153.621934 \nL 81.998906 151.825535 \nL 80.223614 149.782468 \nL 78.637793 147.499121 \nL 77.291638 144.991294 \nL 76.235925 142.285763 \nL 75.519529 139.421399 \nL 75.186446 136.449539 \nL 75.272548 133.433329 \nL 75.802364 130.445792 \nL 76.786278 127.566596 \nL 78.218552 124.877609 \nL 80.076509 122.457618 \nL 82.321155 120.376784 \nL 84.899242 118.69157 \nL 87.746579 117.440798 \nL 90.792193 116.64343 \nL 93.96282 116.298325 \nL 97.187193 116.385902 \nL 100.399631 116.871326 \nL 103.542714 117.708694 \nL 106.568844 118.845464 \nL 109.440842 120.22671 \nL 112.13169 121.798619 \nL 114.623692 123.51118 \nL 116.907264 125.319867 \nL 118.979556 127.18653 \nL 120.843074 129.079583 \nL 122.504381 130.973712 \nL 123.972952 132.849297 \nL 125.260198 134.691648 \nL 127.341375 138.237876 \nL 128.851294 141.564675 \nL 129.888121 144.658664 \nL 130.537215 147.526097 \nL 130.867944 150.183262 \nL 130.933159 152.650593 \nL 130.770099 154.949267 \nL 130.401892 157.099312 \nL 129.839164 159.118627 \nL 129.081434 161.022464 \nL 128.118169 162.823099 \nL 126.929458 164.529454 \nL 125.48633 166.146478 \nL 123.750808 167.674106 \nL 121.675855 169.105533 \nL 119.205475 170.424518 \nL 116.27539 171.601339 \nL 112.814982 172.58688 \nL 108.751637 173.304357 \nL 106.472595 173.528348 \nL 104.019258 173.638271 \nL 101.386882 173.6114 \nL 98.573588 173.420812 \nL 95.581467 173.034973 \nL 92.417961 172.417452 \nL 89.097509 171.52685 \nL 85.643491 170.3171 \nL 82.090378 168.738332 \nL 78.486043 166.738514 \nL 74.893999 164.266155 \nL 71.395245 161.274359 \nL 68.089305 157.726392 \nL 65.093777 153.602863 \nL 62.541763 148.910195 \nL 60.576392 143.689702 \nL 59.342011 138.025857 \nL 58.972006 132.051812 \nL 59.574098 125.949727 \nL 61.214996 119.943741 \nL 63.907129 114.284278 \nL 67.600695 109.224487 \nL 72.183702 104.99193 \nL 77.49103 101.760889 \nL 83.321415 99.631362 \nL 89.458984 98.619627 \nL 95.694948 98.66231 \nL 101.845333 99.632141 \nL 107.762241 101.360877 \nL 113.338103 103.663716 \nL 118.504125 106.360431 \nL 123.224967 109.29036 \nL 127.491733 112.320624 \nL 131.314865 115.348534 \nL 134.717901 118.299831 \nL 137.732475 121.124638 \nL 142.741924 126.287574 \nL 146.641524 130.744251 \nL 151.016925 136.171341 \nL 155.282363 141.430086 \nL 157.128848 143.359083 \nL 158.951613 144.882408 \nL 160.842899 146.026558 \nL 162.874257 146.803796 \nL 165.099832 147.213819 \nL 167.557906 147.245748 \nL 170.270453 146.880694 \nL 173.240541 146.09532 \nL 176.447485 144.867039 \nL 179.839938 143.181579 \nL 183.327546 141.043473 \nL 186.772774 138.489604 \nL 189.985722 135.604531 \nL 191.431756 134.080767 \nL 192.72643 132.534241 \nL 193.834419 130.993786 \nL 194.720123 129.491961 \nL 195.349163 128.064197 \nL 195.69012 126.747505 \nL 195.716462 125.578776 \nL 195.408495 124.592733 \nL 194.755191 123.819701 \nL 193.755645 123.283405 \nL 192.419989 122.999075 \nL 190.769562 122.972078 \nL 188.836278 123.197393 \nL 186.661144 123.659972 \nL 184.292105 124.336062 \nL 181.781398 125.195243 \nL 176.54846 127.323478 \nL 171.362878 129.766768 \nL 166.542796 132.293425 \nL 162.295537 134.752597 \nL 158.722355 137.072481 \nL 155.842255 139.237458 \nL 153.620863 141.261203 \nL 151.995763 143.165885 \nL 150.895154 144.970068 \nL 150.249928 146.683768 \nL 150.000558 148.307824 \nL 150.100398 149.835236 \nL 150.516727 151.252921 \nL 151.230499 152.543099 \nL 152.235449 153.684006 \nL 153.53691 154.649915 \nL 155.150524 155.410494 \nL 157.100786 155.929681 \nL 159.419262 156.164224 \nL 162.14213 156.062065 \nL 165.306447 155.560965 \nL 168.944369 154.587959 \nL 173.074233 153.060694 \nL 177.687205 150.892378 \nL 180.160114 149.542051 \nL 182.728253 148.002911 \nL 185.373377 146.269369 \nL 188.07091 144.33951 \nL 190.788965 142.216488 \nL 193.487452 139.910098 \nL 196.117394 137.438519 \nL 198.62061 134.830062 \nL 200.92996 132.124755 \nL 202.97041 129.37545 \nL 204.661096 126.64814 \nL 205.918639 124.021016 \nL 206.661757 121.581877 \nL 206.817093 119.423594 \nL 206.3259 117.637603 \nL 205.15091 116.305766 \nL 203.282427 115.491521 \nL 200.7425 115.231616 \nL 197.58615 115.53019 \nL 193.898934 116.356571 \nL 189.790876 117.64778 \nL 185.387493 119.315603 \nL 180.819338 121.257004 \nL 171.676523 125.5437 \nL 159.3181 131.768334 \nL 149.663905 136.843754 \nL 144.782436 139.591729 \nL 140.973592 141.98475 \nL 138.037244 144.156917 \nL 135.773824 146.207362 \nL 134.003919 148.196707 \nL 132.575045 150.154887 \nL 130.802956 153.051118 \nL 128.082975 157.724203 \nL 126.218851 160.383079 \nL 124.764522 162.074074 \nL 123.080883 163.686453 \nL 121.115148 165.205331 \nL 118.811624 166.609808 \nL 116.111202 167.869211 \nL 112.952276 168.93804 \nL 109.273857 169.749275 \nL 107.22246 170.029415 \nL 105.022116 170.205896 \nL 102.669137 170.260247 \nL 100.162152 170.17084 \nL 97.502932 169.912598 \nL 94.697407 169.456813 \nL 91.756857 168.77111 \nL 88.699318 167.819681 \nL 85.551123 166.563881 \nL 82.348565 164.963356 \nL 79.139503 162.977856 \nL 75.984788 160.56993 \nL 72.959148 157.708618 \nL 70.151223 154.374211 \nL 67.662279 150.563968 \nL 65.60313 146.298409 \nL 64.088893 141.627481 \nL 63.231426 136.635489 \nL 63.129695 131.443361 \nL 63.858919 126.20674 \nL 65.459963 121.10872 \nL 67.930886 116.34683 \nL 71.222654 112.115363 \nL 75.240492 108.585355 \nL 79.851264 105.885932 \nL 84.895884 104.090648 \nL 90.204549 103.211815 \nL 95.61196 103.203585 \nL 100.970017 103.972754 \nL 106.156302 105.394316 \nL 111.077951 107.328311 \nL 115.6715 109.634887 \nL 119.899866 112.185645 \nL 123.747822 114.870551 \nL 127.217042 117.600857 \nL 130.321427 120.308916 \nL 133.083136 122.946057 \nL 135.52943 125.479495 \nL 139.596588 130.163775 \nL 142.767358 134.297807 \nL 146.338076 139.507655 \nL 150.639591 145.950118 \nL 152.181311 147.87291 \nL 153.771517 149.465992 \nL 155.487145 150.742245 \nL 157.393682 151.702377 \nL 159.548204 152.335034 \nL 162.000983 152.616923 \nL 164.795364 152.51306 \nL 167.965517 151.977556 \nL 171.531482 150.955573 \nL 175.490872 149.387539 \nL 179.806577 147.217208 \nL 182.072978 145.892774 \nL 184.39029 144.405528 \nL 186.736244 142.756814 \nL 189.082879 140.952219 \nL 191.396045 139.002678 \nL 193.635084 136.92563 \nL 195.752838 134.746095 \nL 197.696065 132.497587 \nL 199.406459 130.222618 \nL 200.822334 127.972608 \nL 201.88112 125.806942 \nL 202.522655 123.790984 \nL 202.693161 121.992902 \nL 202.349699 120.479327 \nL 201.464618 119.310166 \nL 200.029488 118.532993 \nL 198.057835 118.177908 \nL 195.586108 118.253654 \nL 192.672473 118.745887 \nL 189.393377 119.61811 \nL 185.838227 120.815313 \nL 182.102902 122.269796 \nL 174.467829 125.658407 \nL 167.150435 129.246565 \nL 160.602675 132.661976 \nL 155.046445 135.735665 \nL 150.521072 138.453505 \nL 146.951143 140.881319 \nL 144.204911 143.105333 \nL 142.133971 145.199583 \nL 140.596084 147.2148 \nL 139.466178 149.179345 \nL 138.640094 151.104822 \nL 138.034279 152.992301 \nL 137.400084 155.742144 \nL 136.718535 160.058111 \nL 135.896644 165.451722 \nL 135.27057 168.200561 \nL 134.646213 170.123462 \nL 133.830761 171.945792 \nL 132.756119 173.686229 \nL 131.852472 174.810476 \nL 130.760659 175.91204 \nL 129.439773 176.995068 \nL 127.840157 178.061625 \nL 125.901739 179.110048 \nL 123.552307 180.132311 \nL 120.705984 181.109871 \nL 117.262407 182.007211 \nL 113.107616 182.76195 \nL 108.118533 183.270077 \nL 105.272752 183.382704 \nL 102.174332 183.364721 \nL 98.812404 183.180733 \nL 95.180286 182.787473 \nL 91.277551 182.132682 \nL 87.112701 181.154149 \nL 82.706545 179.779154 \nL 78.096294 177.924651 \nL 73.340351 175.498724 \nL 68.523559 172.403978 \nL 63.762342 168.543673 \nL 59.208939 163.831513 \nL 55.053191 158.205706 \nL 51.520071 151.647375 \nL 48.860664 144.20212 \nL 47.334664 136.00166 \nL 47.183645 127.280072 \nL 48.59687 118.377358 \nL 51.674936 109.722869 \nL 56.399914 101.794481 \nL 62.621855 95.056462 \nL 70.068998 89.887925 \nL 78.382121 86.520582 \nL 87.165219 85.004295 \nL 96.038969 85.210713 \nL 104.683291 86.871927 \nL 112.860812 89.639986 \nL 120.420607 93.148683 \nL 127.287429 97.062734 \nL 133.443808 101.1072 \nL 138.911296 105.077915 \nL 143.734585 108.837969 \nL 151.676869 115.445296 \nL 171.366863 132.363871 \nL 173.812105 134.091311 \nL 175.309623 134.910439 \nL 176.394221 135.265912 \nL 176.99607 135.272203 \nL 176.482874 135.391768 \nL 175.676152 135.838569 \nL 175.185024 136.332197 \nL 175.128213 136.614522 \nL 175.288816 136.741083 \nL 175.719802 136.734978 \nL 176.448112 136.475809 \nL 177.170564 136.00989 \nL 177.609435 135.496507 \nL 177.637492 135.228251 \nL 177.426113 135.082118 \nL 177.000152 135.089925 \nL 176.270226 135.318805 \nL 175.358927 135.835375 \nL 174.729743 136.441589 \nL 174.597624 136.863284 \nL 174.788795 137.068048 \nL 175.226158 137.112284 \nL 176.031547 136.916671 \nL 176.95512 136.465887 \nL 177.767145 135.853018 \nL 178.234664 135.23282 \nL 178.244823 134.852222 \nL 178.01874 134.687196 \nL 177.606817 134.64951 \nL 176.833821 134.806596 \nL 175.698511 135.294518 \nL 174.658347 135.985608 \nL 173.98205 136.710843 \nL 173.822407 137.200849 \nL 173.95018 137.465268 \nL 174.285498 137.612538 \nL 175.016748 137.59631 \nL 175.986483 137.322713 \nL 177.060314 136.811044 \nL 178.070118 136.124323 \nL 178.833774 135.369093 \nL 179.144835 134.839708 \nL 179.175699 134.409176 \nL 179.029343 134.203546 \nL 178.565789 134.046275 \nL 177.846087 134.087524 \nL 176.612159 134.443016 \nL 175.269451 135.077847 \nL 174.05168 135.881332 \nL 173.157886 136.726674 \nL 172.784578 137.314176 \nL 172.702406 137.809957 \nL 172.920539 138.173566 \nL 173.427874 138.371264 \nL 174.194122 138.377587 \nL 175.170072 138.177891 \nL 176.676646 137.593196 \nL 178.219015 136.695477 \nL 179.244197 135.887324 \nL 180.028203 135.04716 \nL 180.465808 134.267254 \nL 180.52548 133.828174 \nL 180.384181 133.484091 \nL 180.040929 133.255716 \nL 179.506598 133.156977 \nL 178.39882 133.262659 \nL 177.030148 133.657253 \nL 175.547586 134.291833 \nL 174.104796 135.095611 \nL 172.840378 135.989891 \nL 171.863709 136.898445 \nL 171.249545 137.75261 \nL 171.039325 138.492137 \nL 171.130883 138.895085 \nL 171.405757 139.209384 \nL 171.857323 139.422225 \nL 172.474836 139.522295 \nL 173.678385 139.441015 \nL 175.150819 139.06513 \nL 176.795893 138.393995 \nL 178.487977 137.454683 \nL 180.072803 136.309696 \nL 181.375727 135.060909 \nL 182.000026 134.2373 \nL 182.373673 133.474198 \nL 182.460412 132.818077 \nL 182.238981 132.311281 \nL 181.706858 131.987437 \nL 180.882177 131.867652 \nL 179.803226 131.958248 \nL 178.525398 132.250661 \nL 176.384764 133.018128 \nL 174.193662 134.082187 \nL 172.179466 135.31997 \nL 170.521696 136.616662 \nL 169.340639 137.876161 \nL 168.852349 138.656064 \nL 168.614262 139.364672 \nL 168.628146 139.983672 \nL 168.890722 140.495614 \nL 169.394718 140.883562 \nL 170.129386 141.131051 \nL 171.080436 141.22241 \nL 172.229426 141.143422 \nL 173.552695 140.8824 \nL 175.019916 140.431626 \nL 176.592483 139.789243 \nL 178.221987 138.961481 \nL 179.849161 137.965087 \nL 181.40379 136.829594 \nL 182.806176 135.598923 \nL 183.9707 134.331591 \nL 184.811852 133.098718 \nL 185.252609 131.979237 \nL 185.303523 131.486986 \nL 185.234352 131.05225 \nL 185.042264 130.683349 \nL 184.726695 130.387382 \nL 184.289486 130.16995 \nL 183.069811 129.984368 \nL 181.445756 130.135173 \nL 179.511683 130.601757 \nL 177.382701 131.339612 \nL 175.181048 132.289419 \nL 171.992568 133.972309 \nL 169.217886 135.793828 \nL 167.705497 137.01031 \nL 166.50682 138.190418 \nL 165.639675 139.30977 \nL 165.10925 140.348303 \nL 164.912383 141.287865 \nL 165.041048 142.110427 \nL 165.48484 142.797007 \nL 166.232388 143.327162 \nL 167.271751 143.678949 \nL 168.589857 143.829296 \nL 170.171058 143.754795 \nL 171.994852 143.433041 \nL 174.032841 142.844634 \nL 176.245066 141.97606 \nL 178.575985 140.823616 \nL 180.950622 139.398338 \nL 183.27175 137.73161 \nL 185.419408 135.880627 \nL 187.254329 133.932074 \nL 188.626909 132.001881 \nL 189.093902 131.086413 \nL 189.392586 130.228552 \nL 189.50913 129.44674 \nL 189.432818 128.758588 \nL 189.156731 128.180077 \nL 188.678348 127.724774 \nL 187.999947 127.403102 \nL 187.128812 127.221774 \nL 186.077158 127.183417 \nL 184.8618 127.28645 \nL 182.026455 127.890621 \nL 178.821793 128.950094 \nL 175.465617 130.34684 \nL 172.163288 131.955837 \nL 169.084485 133.667176 \nL 166.351836 135.397872 \nL 164.040648 137.093248 \nL 162.18613 138.721353 \nL 160.793975 140.264788 \nL 159.851138 141.713082 \nL 159.335003 143.057115 \nL 159.22027 144.285744 \nL 159.48355 145.384154 \nL 160.106026 146.333256 \nL 161.074534 147.109618 \nL 162.381411 147.685577 \nL 164.0233 148.029423 \nL 165.998986 148.105699 \nL 168.306172 147.875833 \nL 170.937041 147.299491 \nL 173.872372 146.337167 \nL 177.07403 144.954701 \nL 180.475943 143.130467 \nL 183.974187 140.865811 \nL 187.417816 138.198727 \nL 190.603524 135.21925 \nL 192.022324 133.658131 \nL 193.278833 132.082678 \nL 194.336657 130.523211 \nL 195.159525 129.013716 \nL 195.712886 127.590835 \nL 195.965766 126.292426 \nL 195.892768 125.155682 \nL 195.476064 124.214947 \nL 194.707192 123.499407 \nL 193.588411 123.03086 \nL 192.133439 122.82189 \nL 190.367392 122.874701 \nL 188.325858 123.180819 \nL 186.053141 123.721789 \nL 183.599854 124.470776 \nL 178.36854 126.458039 \nL 173.055599 128.856454 \nL 168.018642 131.406843 \nL 163.50691 133.926295 \nL 159.656295 136.317487 \nL 156.509324 138.549885 \nL 154.044512 140.631657 \nL 152.204157 142.585486 \nL 150.915758 144.433302 \nL 150.106377 146.189147 \nL 149.711135 147.857499 \nL 149.677534 149.434274 \nL 149.967084 150.908677 \nL 150.555348 152.264858 \nL 151.431174 153.482921 \nL 152.595566 154.539207 \nL 154.060444 155.405903 \nL 155.847303 156.050064 \nL 157.985706 156.432241 \nL 160.511272 156.504816 \nL 163.462754 156.21037 \nL 166.87747 155.480498 \nL 170.784153 154.235897 \nL 175.191979 152.389064 \nL 177.577478 151.211927 \nL 180.074352 149.851809 \nL 182.669991 148.300092 \nL 185.346371 146.550644 \nL 188.079049 144.600991 \nL 190.836135 142.453725 \nL 193.577346 140.118136 \nL 196.253268 137.612015 \nL 198.804974 134.963481 \nL 201.164212 132.21267 \nL 203.254423 129.412953 \nL 204.992796 126.631357 \nL 206.293605 123.947682 \nL 207.072915 121.451961 \nL 207.254586 119.239847 \nL 206.777195 117.405939 \nL 205.601225 116.035312 \nL 203.715477 115.194295 \nL 201.141548 114.921748 \nL 197.935231 115.2227 \nL 194.184101 116.065936 \nL 190.001251 117.386503 \nL 185.515945 119.093033 \nL 180.862704 121.078661 \nL 171.554508 125.455167 \nL 158.993946 131.778992 \nL 149.205805 136.895664 \nL 144.264723 139.648314 \nL 140.411283 142.036602 \nL 137.438697 144.200046 \nL 135.142106 146.24089 \nL 133.33804 148.221171 \nL 131.870897 150.171192 \nL 130.028386 153.056263 \nL 127.139863 157.707653 \nL 125.842315 159.482325 \nL 124.376688 161.190364 \nL 122.689642 162.818584 \nL 120.727647 164.350667 \nL 118.435326 165.764471 \nL 115.75487 167.028347 \nL 112.626951 168.096208 \nL 108.993836 168.901095 \nL 106.971732 169.176342 \nL 104.805895 169.347131 \nL 102.493281 169.395419 \nL 100.033177 169.300178 \nL 97.428001 169.037155 \nL 94.684266 168.578716 \nL 91.813719 167.89388 \nL 88.834654 166.948582 \nL 85.773358 165.706302 \nL 82.66562 164.129199 \nL 79.558203 162.179896 \nL 76.510083 159.824069 \nL 73.59316 157.033956 \nL 70.892182 153.792806 \nL 68.503385 150.100169 \nL 66.531495 145.977643 \nL 65.084759 141.474432 \nL 64.267871 136.671667 \nL 64.173098 131.684253 \nL 64.870345 126.658894 \nL 66.397509 121.767285 \nL 68.752822 117.194182 \nL 71.890961 113.121299 \nL 75.724214 109.709157 \nL 80.129076 107.080079 \nL 84.957391 105.305679 \nL 90.050128 104.40131 \nL 95.25133 104.328433 \nL 100.419914 105.003957 \nL 105.43783 106.314049 \nL 110.214069 108.129403 \nL 114.684953 110.319149 \nL 118.811754 112.761614 \nL 122.576741 115.35116 \nL 125.978699 118.001346 \nL 129.02861 120.645219 \nL 131.745895 123.233663 \nL 134.155353 125.732745 \nL 138.163391 130.385271 \nL 141.283768 134.526564 \nL 143.737105 138.160571 \nL 150.336065 148.463671 \nL 151.808678 150.176625 \nL 153.3884 151.590238 \nL 155.140953 152.707923 \nL 157.124874 153.521582 \nL 159.393728 154.011391 \nL 161.996892 154.14553 \nL 164.978565 153.880045 \nL 168.374465 153.159341 \nL 172.205519 151.918095 \nL 176.467637 150.085953 \nL 178.748639 148.927128 \nL 181.116706 147.597009 \nL 183.556776 146.090797 \nL 186.048538 144.406598 \nL 188.565644 142.546503 \nL 191.074988 140.517836 \nL 193.536104 138.334537 \nL 195.900862 136.018548 \nL 198.113544 133.60113 \nL 200.111518 131.123874 \nL 201.826658 128.63916 \nL 203.187679 126.209768 \nL 204.123479 123.907316 \nL 204.567469 121.8093 \nL 204.462682 119.994601 \nL 203.767287 118.537589 \nL 202.459849 117.501377 \nL 200.543547 116.930942 \nL 198.048528 116.847378 \nL 195.031691 117.244364 \nL 191.573634 118.087838 \nL 187.772944 119.319221 \nL 183.7386 120.861873 \nL 179.581638 122.629555 \nL 171.308736 126.500188 \nL 163.628491 130.357432 \nL 154.023779 135.453789 \nL 149.040564 138.304633 \nL 145.106604 140.805363 \nL 142.066769 143.066275 \nL 139.748137 145.181091 \nL 137.986077 147.213805 \nL 136.636147 149.200486 \nL 135.577603 151.156611 \nL 134.327147 154.037411 \nL 131.430634 161.280574 \nL 130.07356 163.787038 \nL 128.985697 165.388656 \nL 127.706362 166.933505 \nL 126.192431 168.419221 \nL 124.394902 169.840554 \nL 122.257545 171.18707 \nL 119.715994 172.439894 \nL 116.697634 173.567018 \nL 113.122952 174.516604 \nL 108.909551 175.207604 \nL 106.538771 175.419779 \nL 103.980751 175.517117 \nL 101.229445 175.475101 \nL 98.281802 175.264488 \nL 95.139001 174.850786 \nL 91.807988 174.193856 \nL 88.303361 173.247747 \nL 84.649588 171.960931 \nL 80.883536 170.277186 \nL 77.057189 168.137381 \nL 73.24032 165.482518 \nL 69.522784 162.258377 \nL 66.015831 158.422046 \nL 62.851698 153.950413 \nL 60.180607 148.850331 \nL 58.164252 143.169498 \nL 56.965149 137.006419 \nL 56.731911 130.516834 \nL 57.581525 123.913585 \nL 59.581069 117.457153 \nL 62.732521 111.43545 \nL 66.964666 106.134207 \nL 72.135237 101.802371 \nL 78.044173 98.619727 \nL 84.455869 96.674364 \nL 91.125677 95.955515 \nL 97.824972 96.363017 \nL 104.360032 97.729962 \nL 110.582315 99.851917 \nL 116.390422 102.515727 \nL 121.725789 105.522442 \nL 126.564911 108.70197 \nL 130.910545 111.919525 \nL 134.783558 115.075728 \nL 138.216218 118.102679 \nL 143.91764 123.619477 \nL 148.343078 128.334279 \nL 154.582159 135.510091 \nL 157.941019 139.263449 \nL 159.896458 141.139683 \nL 161.777931 142.580734 \nL 163.681996 143.623208 \nL 165.679954 144.288739 \nL 167.8214 144.586786 \nL 170.136063 144.517724 \nL 172.633853 144.076482 \nL 175.303152 143.257032 \nL 178.107588 142.058138 \nL 180.981842 140.490614 \nL 183.827566 138.586044 \nL 186.511139 136.406181 \nL 188.865697 134.051151 \nL 190.700361 131.663293 \nL 191.360956 130.512138 \nL 191.819141 129.422346 \nL 192.054375 128.419395 \nL 192.049813 127.528194 \nL 191.793455 126.771868 \nL 191.27915 126.170495 \nL 190.507391 125.739878 \nL 189.485772 125.490539 \nL 188.229041 125.426996 \nL 186.758715 125.547447 \nL 185.102239 125.843978 \nL 183.291786 126.303178 \nL 179.352172 127.635079 \nL 175.232719 129.371775 \nL 171.204034 131.337072 \nL 167.480565 133.384617 \nL 164.206629 135.413831 \nL 161.459726 137.36829 \nL 159.264145 139.223958 \nL 157.6079 140.975064 \nL 156.458386 142.622532 \nL 155.774682 144.16656 \nL 155.516115 145.60287 \nL 155.647593 146.921459 \nL 156.142464 148.106597 \nL 156.983619 149.137238 \nL 158.163368 149.987367 \nL 159.682461 150.626055 \nL 161.548383 151.017263 \nL 163.772852 151.119525 \nL 166.368331 150.885821 \nL 169.343141 150.264121 \nL 172.694667 149.199289 \nL 176.400104 147.637347 \nL 180.404368 145.533398 \nL 184.605339 142.864658 \nL 186.730864 141.322002 \nL 188.837905 139.649583 \nL 190.893743 137.860207 \nL 192.860469 135.97247 \nL 194.69522 134.011481 \nL 196.350803 132.009333 \nL 197.776809 130.005214 \nL 198.92129 128.044944 \nL 199.733025 126.179817 \nL 200.164322 124.464641 \nL 200.174263 122.954915 \nL 199.732121 121.703263 \nL 198.820609 120.755423 \nL 197.438548 120.14616 \nL 195.602509 119.895708 \nL 193.347045 120.007383 \nL 190.723324 120.466809 \nL 187.796208 121.243044 \nL 184.640067 122.291573 \nL 181.333841 123.558714 \nL 174.580187 126.518848 \nL 168.083828 129.697646 \nL 162.230796 132.789962 \nL 157.225434 135.642859 \nL 153.122214 138.224598 \nL 149.876103 140.571349 \nL 147.388986 142.741715 \nL 145.543363 144.789569 \nL 144.223224 146.753023 \nL 143.325172 148.653308 \nL 142.763147 150.498144 \nL 142.469355 152.286142 \nL 142.393184 154.010674 \nL 142.499256 155.662595 \nL 142.765284 157.231899 \nL 143.180124 158.708431 \nL 143.742191 160.081982 \nL 144.458326 161.341905 \nL 145.343092 162.47642 \nL 146.418489 163.471639 \nL 147.713992 164.31037 \nL 149.266868 164.970593 \nL 151.122616 165.4236 \nL 153.335375 165.631671 \nL 155.967999 165.545236 \nL 159.091313 165.09948 \nL 162.781767 164.210571 \nL 167.1162 162.772061 \nL 172.161747 160.652729 \nL 174.965345 159.290313 \nL 177.958008 157.698579 \nL 181.135586 155.856498 \nL 184.487714 153.743847 \nL 187.996001 151.342644 \nL 191.63194 148.639138 \nL 195.354587 145.626419 \nL 199.108136 142.30773 \nL 202.819615 138.700462 \nL 206.397022 134.840658 \nL 209.728389 130.787714 \nL 212.682456 126.628576 \nL 215.111685 122.480481 \nL 216.858435 118.490856 \nL 217.764925 114.832809 \nL 217.68707 111.694755 \nL 216.511503 109.263491 \nL 214.173674 107.701546 \nL 210.673814 107.121689 \nL 206.086644 107.564064 \nL 200.560986 108.982245 \nL 194.307497 111.243966 \nL 187.57584 114.148301 \nL 180.625951 117.456106 \nL 149.518195 132.988645 \nL 140.495598 136.9967 \nL 133.445257 139.834093 \nL 120.584665 144.850552 \nL 116.805051 146.70723 \nL 108.980738 150.943572 \nL 106.955132 151.700492 \nL 104.792275 152.250391 \nL 102.476817 152.54219 \nL 100.015234 152.521655 \nL 97.43779 152.132963 \nL 94.801388 151.322111 \nL 93.48685 150.743443 \nL 92.192343 150.043056 \nL 90.933453 149.217981 \nL 89.72756 148.267115 \nL 88.593651 147.191671 \nL 87.551998 145.995651 \nL 86.623708 144.686297 \nL 85.83016 143.274472 \nL 85.192298 141.774959 \nL 84.729805 140.206576 \nL 84.46022 138.592093 \nL 84.398002 136.957899 \nL 84.553632 135.333382 \nL 84.932827 133.750027 \nL 85.53594 132.24027 \nL 86.357605 130.836156 \nL 87.386684 129.5679 \nL 88.60656 128.462485 \nL 89.995728 127.542385 \nL 91.528683 126.824568 \nL 93.17702 126.31987 \nL 94.910629 126.032747 \nL 96.698922 125.961449 \nL 98.51198 126.098572 \nL 100.321556 126.431894 \nL 102.101853 126.945401 \nL 103.830086 127.62039 \nL 105.486811 128.436569 \nL 107.056031 129.373051 \nL 108.525139 130.4092 \nL 109.884711 131.525292 \nL 111.128206 132.703001 \nL 113.253008 135.178664 \nL 114.890614 137.725702 \nL 116.054172 140.262547 \nL 116.76853 142.732363 \nL 117.062306 145.097182 \nL 116.962412 147.332061 \nL 116.490725 149.419902 \nL 115.662424 151.347105 \nL 114.485688 153.099961 \nL 112.962409 154.661493 \nL 111.089895 156.008599 \nL 108.863561 157.109256 \nL 106.280856 157.919828 \nL 103.346736 158.382555 \nL 101.753276 158.461104 \nL 100.081083 158.423786 \nL 98.33656 158.258898 \nL 96.528376 157.953889 \nL 94.667872 157.495588 \nL 92.769486 156.870531 \nL 90.851143 156.065421 \nL 88.934618 155.067751 \nL 87.045787 153.866619 \nL 85.214738 152.453698 \nL 83.475673 150.824432 \nL 81.866517 148.979328 \nL 80.428175 146.925365 \nL 79.203394 144.677343 \nL 78.235169 142.259053 \nL 77.564736 139.70409 \nL 77.229226 137.05606 \nL 77.259115 134.368012 \nL 77.675704 131.700928 \nL 78.488912 129.121232 \nL 79.695663 126.697415 \nL 81.279134 124.495988 \nL 83.209072 122.577207 \nL 85.443183 120.99106 \nL 87.92952 119.774034 \nL 90.609573 118.947034 \nL 93.421751 118.514793 \nL 96.304799 118.466679 \nL 99.200855 118.778776 \nL 102.05784 119.416845 \nL 104.831098 120.339679 \nL 107.484234 121.502485 \nL 109.989259 122.859863 \nL 112.326188 124.36824 \nL 114.48227 125.987581 \nL 116.450989 127.682477 \nL 118.230977 129.422624 \nL 119.824944 131.182875 \nL 121.238682 132.942952 \nL 122.480182 134.686983 \nL 124.48505 138.082003 \nL 125.921998 141.307167 \nL 126.873025 144.336644 \nL 127.411125 147.166084 \nL 127.595999 149.803152 \nL 127.472498 152.261295 \nL 127.07066 154.555784 \nL 126.406551 156.701225 \nL 125.483375 158.709909 \nL 124.292596 160.590563 \nL 122.814913 162.347137 \nL 121.021139 163.977322 \nL 118.873109 165.470529 \nL 116.324934 166.804966 \nL 113.325066 167.943541 \nL 109.819985 168.828215 \nL 107.862228 169.149699 \nL 105.760642 169.372647 \nL 103.511574 169.48038 \nL 101.113358 169.453299 \nL 98.56705 169.268617 \nL 95.87734 168.900165 \nL 93.053623 168.318337 \nL 90.111256 167.490231 \nL 87.072961 166.380108 \nL 83.970349 164.950295 \nL 80.845429 163.162675 \nL 77.752008 160.980909 \nL 74.756686 158.373572 \nL 71.939192 155.318229 \nL 69.391618 151.806431 \nL 67.216201 147.849391 \nL 65.521192 143.483794 \nL 64.414646 138.776867 \nL 63.99618 133.829518 \nL 64.347271 128.776178 \nL 65.521184 123.78016 \nL 67.534124 119.023793 \nL 70.359464 114.693758 \nL 73.926612 110.963286 \nL 78.125356 107.97402 \nL 82.815355 105.821048 \nL 87.839238 104.544037 \nL 93.036931 104.126264 \nL 98.258759 104.501295 \nL 103.375365 105.565432 \nL 108.283497 107.192922 \nL 112.907778 109.250895 \nL 117.199267 111.611739 \nL 121.131968 114.161669 \nL 124.698419 116.805411 \nL 127.905188 119.467556 \nL 130.768807 122.091576 \nL 133.312389 124.637446 \nL 135.562976 127.078704 \nL 139.301548 131.59166 \nL 142.216557 135.584575 \nL 145.508186 140.646736 \nL 149.515289 146.989029 \nL 150.970133 148.912095 \nL 152.481109 150.524459 \nL 154.121214 151.837422 \nL 155.953841 152.850767 \nL 158.035817 153.552638 \nL 160.419162 153.919327 \nL 163.151304 153.915096 \nL 166.273319 153.492238 \nL 169.815646 152.592059 \nL 173.790486 151.147704 \nL 178.179993 149.090422 \nL 180.512451 147.812699 \nL 182.919588 146.361446 \nL 185.382508 144.734162 \nL 187.876543 142.932017 \nL 190.370518 140.961055 \nL 192.826151 138.833513 \nL 195.197667 136.569183 \nL 197.431791 134.196736 \nL 199.468259 131.754785 \nL 201.241041 129.292468 \nL 202.680417 126.869282 \nL 203.716021 124.553843 \nL 204.280852 122.421331 \nL 204.316132 120.549427 \nL 203.776636 119.012885 \nL 202.635964 117.877058 \nL 200.890978 117.191168 \nL 198.564604 116.982296 \nL 195.706312 117.25132 \nL 192.389811 117.971751 \nL 188.70811 119.091997 \nL 184.766477 120.540898 \nL 180.674366 122.235605 \nL 172.451403 126.024693 \nL 164.735499 129.871543 \nL 154.988974 135.021243 \nL 149.893853 137.916976 \nL 145.855377 140.454677 \nL 142.72742 142.741371 \nL 140.340657 144.872081 \nL 138.530934 146.913662 \nL 137.152762 148.904973 \nL 136.083821 150.863592 \nL 134.847987 153.746826 \nL 131.774254 161.84803 \nL 130.473264 164.317805 \nL 129.426211 165.896142 \nL 128.192235 167.419783 \nL 126.7295 168.887487 \nL 124.990095 170.295391 \nL 122.918655 171.634884 \nL 120.45133 172.889557 \nL 117.515428 174.030786 \nL 114.030339 175.011358 \nL 109.910832 175.756424 \nL 107.586993 176.006722 \nL 105.074562 176.151105 \nL 102.366077 176.166324 \nL 99.45666 176.024462 \nL 96.34517 175.692346 \nL 93.035668 175.13104 \nL 89.539233 174.295517 \nL 85.876127 173.134684 \nL 82.078334 171.59194 \nL 78.192364 169.606579 \nL 74.28216 167.116343 \nL 70.431757 164.061543 \nL 66.747241 160.391072 \nL 63.357225 156.070521 \nL 60.410973 151.092313 \nL 58.073158 145.487138 \nL 56.514408 139.335263 \nL 55.897348 132.775267 \nL 56.358775 126.007107 \nL 57.990068 119.286172 \nL 60.819327 112.906114 \nL 64.799508 107.170611 \nL 69.806575 102.357626 \nL 75.649625 98.683081 \nL 82.091794 96.272348 \nL 88.877665 95.146774 \nL 95.7611 95.228214 \nL 102.527749 96.359422 \nL 109.008812 98.334028 \nL 115.085458 100.928124 \nL 120.685729 103.927038 \nL 125.776919 107.143483 \nL 130.356213 110.426681 \nL 134.441696 113.663934 \nL 138.064797 116.777217 \nL 144.083331 122.456911 \nL 148.749876 127.301142 \nL 153.91865 133.060309 \nL 158.766164 138.411727 \nL 160.757698 140.289465 \nL 162.648817 141.721395 \nL 164.538683 142.749159 \nL 166.499536 143.399014 \nL 168.580469 143.685018 \nL 170.809566 143.612455 \nL 173.194354 143.1817 \nL 175.720672 142.392814 \nL 178.350265 141.251132 \nL 181.017737 139.774001 \nL 183.627926 137.998428 \nL 186.055264 135.988835 \nL 188.147297 133.843064 \nL 189.734586 131.69393 \nL 190.285578 130.667848 \nL 190.648544 129.703012 \nL 190.806729 128.82141 \nL 190.746881 128.044191 \nL 190.460143 127.390672 \nL 189.942834 126.877323 \nL 189.197011 126.516816 \nL 188.23076 126.317284 \nL 187.058148 126.281809 \nL 185.69883 126.408257 \nL 184.177311 126.6895 \nL 180.763557 127.66647 \nL 177.066646 129.083609 \nL 173.336407 130.789829 \nL 169.788403 132.644599 \nL 166.58387 134.538727 \nL 163.825096 136.400323 \nL 161.562271 138.189548 \nL 159.806153 139.888137 \nL 158.541842 141.488854 \nL 157.740797 142.987503 \nL 157.370008 144.378046 \nL 157.398226 145.650224 \nL 157.799721 146.788783 \nL 158.556112 147.773458 \nL 159.656786 148.579162 \nL 161.098234 149.176128 \nL 162.882495 149.529944 \nL 165.014703 149.601578 \nL 167.499598 149.347698 \nL 170.336675 148.72172 \nL 173.513646 147.676233 \nL 176.99782 146.167644 \nL 180.725341 144.16412 \nL 184.588762 141.657743 \nL 188.424657 138.681271 \nL 190.263596 137.043036 \nL 192.004897 135.328191 \nL 193.610052 133.561036 \nL 195.037519 131.771576 \nL 196.24383 129.995361 \nL 197.18515 128.272865 \nL 197.819273 126.648315 \nL 198.10798 125.167858 \nL 198.019638 123.877168 \nL 197.531863 122.818552 \nL 196.633906 122.027836 \nL 195.328514 121.53134 \nL 193.632904 121.343398 \nL 191.57868 121.464793 \nL 189.210516 121.882447 \nL 186.583726 122.570527 \nL 183.760949 123.492821 \nL 180.808331 124.606092 \nL 174.772951 127.220444 \nL 168.942486 130.067288 \nL 163.65414 132.889435 \nL 159.098696 135.54621 \nL 155.341622 137.994051 \nL 152.361101 140.247879 \nL 150.085461 142.345667 \nL 148.422016 144.325572 \nL 147.276094 146.215287 \nL 146.561999 148.029614 \nL 146.208344 149.772152 \nL 146.159865 151.438288 \nL 146.37723 153.017995 \nL 146.835905 154.497844 \nL 147.524697 155.862078 \nL 148.444358 157.09285 \nL 149.606403 158.16982 \nL 151.032204 159.069179 \nL 152.752284 159.762212 \nL 154.805654 160.213469 \nL 157.23892 160.37857 \nL 160.104749 160.20173 \nL 163.459008 159.613275 \nL 167.355632 158.527626 \nL 171.837781 156.842876 \nL 174.305566 155.740178 \nL 176.923397 154.443929 \nL 179.685918 152.939317 \nL 182.582875 151.212571 \nL 185.597861 149.252023 \nL 188.706904 147.049519 \nL 191.876955 144.602208 \nL 195.064377 141.914714 \nL 198.213539 139.001703 \nL 201.255763 135.890664 \nL 204.108907 132.624739 \nL 206.67795 129.265202 \nL 208.856979 125.893004 \nL 210.533048 122.608727 \nL 211.592166 119.530109 \nL 211.927532 116.786374 \nL 211.449632 114.509044 \nL 210.097293 112.819388 \nL 207.848102 111.813838 \nL 204.726162 111.549577 \nL 200.805081 112.033557 \nL 196.204705 113.217885 \nL 191.081362 115.003749 \nL 185.612962 117.253757 \nL 179.98171 119.810319 \nL 168.886418 125.23079 \nL 150.29927 134.497465 \nL 135.77417 141.642637 \nL 132.087725 143.706166 \nL 129.209422 145.588436 \nL 126.901428 147.385992 \nL 124.964668 149.145093 \nL 118.123759 155.797065 \nL 116.152163 157.259732 \nL 113.937326 158.578856 \nL 111.428805 159.711338 \nL 108.585783 160.603547 \nL 105.379706 161.187563 \nL 103.636255 161.337898 \nL 101.799871 161.377302 \nL 99.873506 161.291692 \nL 97.862588 161.065617 \nL 95.775527 160.682355 \nL 93.624266 160.12413 \nL 91.424869 159.372492 \nL 89.198105 158.408876 \nL 86.969998 157.215412 \nL 84.772255 155.776018 \nL 82.642497 154.077774 \nL 80.624216 152.112626 \nL 78.766277 149.879312 \nL 77.121924 147.385479 \nL 75.747117 144.649764 \nL 74.698207 141.703624 \nL 74.028912 138.592567 \nL 73.786783 135.376442 \nL 74.009364 132.128419 \nL 74.720486 128.932438 \nL 75.927154 125.879036 \nL 77.617535 123.059826 \nL 79.760457 120.561076 \nL 82.306671 118.457217 \nL 85.191781 116.805179 \nL 88.340577 115.640335 \nL 91.672149 114.974716 \nL 95.105149 114.797639 \nL 98.562527 115.078513 \nL 101.975291 115.771238 \nL 105.284998 116.81943 \nL 108.444987 118.161656 \nL 111.420487 119.736067 \nL 114.18788 121.484083 \nL 116.733408 123.352863 \nL 119.051606 125.296735 \nL 121.14366 127.277686 \nL 123.015847 129.265183 \nL 124.678142 131.235538 \nL 126.143023 133.171051 \nL 128.537292 136.890988 \nL 130.316097 140.367918 \nL 131.592852 143.58598 \nL 132.467759 146.552517 \nL 133.023976 149.286461 \nL 133.327022 151.811394 \nL 133.425914 154.151649 \nL 133.355093 156.330294 \nL 133.136496 158.368211 \nL 132.781459 160.283817 \nL 132.29224 162.093081 \nL 131.66312 163.809696 \nL 130.881053 165.445225 \nL 129.925907 167.009145 \nL 128.770331 168.508686 \nL 127.379305 169.948353 \nL 125.709447 171.328979 \nL 123.708196 172.646117 \nL 121.313053 173.88745 \nL 118.451234 175.028799 \nL 115.040323 176.028124 \nL 110.990976 176.816775 \nL 108.698556 177.100417 \nL 106.213429 177.287158 \nL 103.526457 177.354758 \nL 100.630679 177.276274 \nL 97.52241 177.019383 \nL 94.202649 176.545747 \nL 90.678858 175.810514 \nL 86.967138 174.7621 \nL 83.094817 173.342431 \nL 79.103421 171.487954 \nL 75.051865 169.131745 \nL 71.019601 166.207162 \nL 67.109268 162.65344 \nL 63.448108 158.423614 \nL 60.187236 153.494833 \nL 57.497611 147.880617 \nL 55.561628 141.643836 \nL 54.559642 134.90807 \nL 54.651673 127.864081 \nL 55.955957 120.76745 \nL 58.527815 113.924207 \nL 62.343578 107.663367 \nL 67.294468 102.299054 \nL 73.193669 98.08901 \nL 79.796483 95.198975 \nL 86.829576 93.68208 \nL 94.022626 93.478449 \nL 101.135419 94.434083 \nL 107.975573 96.332743 \nL 114.405478 98.931856 \nL 120.340107 101.994165 \nL 125.738987 105.310175 \nL 130.595762 108.710027 \nL 134.927914 112.066379 \nL 138.768083 115.291131 \nL 145.140949 121.149396 \nL 150.072248 126.102769 \nL 161.570105 138.157538 \nL 163.508463 139.733241 \nL 165.364287 140.88116 \nL 167.221887 141.642084 \nL 169.138809 142.042961 \nL 171.149157 142.100801 \nL 173.265418 141.826785 \nL 175.47891 141.230623 \nL 177.759172 140.325455 \nL 180.052885 139.133222 \nL 182.283132 137.690435 \nL 184.35017 136.053469 \nL 186.13512 134.302395 \nL 187.507944 132.541438 \nL 188.340522 130.894249 \nL 188.51901 130.154633 \nL 188.524398 129.49264 \nL 188.349479 128.923158 \nL 187.990697 128.459219 \nL 187.448534 128.111362 \nL 186.72776 127.887108 \nL 185.837459 127.79059 \nL 184.790855 127.822355 \nL 182.299659 128.255412 \nL 179.422645 129.125484 \nL 176.352228 130.336617 \nL 173.277696 131.77962 \nL 170.363017 133.352141 \nL 167.733842 134.971487 \nL 165.474164 136.578654 \nL 163.630379 138.135603 \nL 162.21942 139.61916 \nL 161.238012 141.014417 \nL 160.671132 142.309401 \nL 160.498737 143.491504 \nL 160.700529 144.545457 \nL 161.258882 145.452448 \nL 162.160237 146.189826 \nL 163.395194 146.731169 \nL 164.957543 147.046516 \nL 166.842263 147.102821 \nL 169.042486 146.864775 \nL 171.545313 146.29639 \nL 174.326343 145.363716 \nL 177.342872 144.039353 \nL 180.525975 142.309245 \nL 183.77223 140.18212 \nL 186.936677 137.701294 \nL 189.829818 134.957176 \nL 191.104252 133.530023 \nL 192.222644 132.096872 \nL 193.153048 130.68513 \nL 193.864079 129.325041 \nL 194.32629 128.048745 \nL 194.513748 126.888997 \nL 194.405691 125.877578 \nL 193.988126 125.043495 \nL 193.255238 124.411099 \nL 192.210414 123.998372 \nL 190.866746 123.81548 \nL 189.246889 123.863962 \nL 187.382231 124.136553 \nL 185.311436 124.617775 \nL 183.078467 125.28525 \nL 178.314447 127.066359 \nL 173.460269 129.238913 \nL 168.833781 131.579776 \nL 164.663798 133.924886 \nL 161.083168 136.179546 \nL 158.143004 138.305757 \nL 155.836103 140.300537 \nL 154.120425 142.175978 \nL 152.93803 143.945736 \nL 152.228388 145.61807 \nL 151.93668 147.193503 \nL 152.018338 148.665023 \nL 152.441032 150.019218 \nL 153.185054 151.237383 \nL 154.242779 152.296206 \nL 155.617601 153.167817 \nL 157.322509 153.819319 \nL 159.378302 154.211885 \nL 161.811216 154.299628 \nL 164.649618 154.028577 \nL 167.919119 153.336205 \nL 171.635348 152.15238 \nL 175.793391 150.402902 \nL 180.352951 148.017588 \nL 182.756289 146.569151 \nL 185.218703 144.945219 \nL 187.715795 143.146351 \nL 190.216726 141.177925 \nL 192.683561 139.05145 \nL 195.070866 136.785957 \nL 197.325649 134.409323 \nL 199.38781 131.959377 \nL 201.191309 129.484553 \nL 202.666158 127.043799 \nL 203.741412 124.705434 \nL 204.349132 122.544683 \nL 204.42921 120.639725 \nL 203.934747 119.066304 \nL 202.837391 117.891254 \nL 201.131921 117.165679 \nL 198.839252 116.918804 \nL 196.007121 117.153626 \nL 192.707989 117.845497 \nL 189.034242 118.944134 \nL 185.09121 120.378999 \nL 180.989062 122.067111 \nL 172.725302 125.861659 \nL 164.951668 129.729404 \nL 155.111942 134.915755 \nL 149.960803 137.830381 \nL 145.874669 140.380726 \nL 142.7076 142.674895 \nL 140.289235 144.809645 \nL 138.453895 146.853425 \nL 137.054473 148.846262 \nL 135.967134 150.806444 \nL 134.706159 153.692853 \nL 131.542309 161.809926 \nL 130.196572 164.285603 \nL 129.113023 165.86733 \nL 127.836023 167.393412 \nL 126.322591 168.861929 \nL 124.523576 170.268021 \nL 122.38232 171.601595 \nL 119.833741 172.844056 \nL 116.804184 173.96358 \nL 113.212744 174.908331 \nL 108.975234 175.596927 \nL 106.588977 175.808546 \nL 104.012805 175.905506 \nL 101.240364 175.862997 \nL 98.268302 175.651382 \nL 95.09752 175.23564 \nL 91.734751 174.574943 \nL 88.194482 173.622468 \nL 84.501228 172.325602 \nL 80.692139 170.626819 \nL 76.81981 168.465475 \nL 72.955053 165.780906 \nL 69.189301 162.517169 \nL 65.636 158.629749 \nL 62.430256 154.094324 \nL 59.72578 148.917277 \nL 57.688204 143.147008 \nL 56.484088 136.884285 \nL 56.265666 130.288962 \nL 57.152468 123.57985 \nL 59.21238 117.024841 \nL 62.44596 110.91983 \nL 66.778204 105.557801 \nL 72.061055 101.192864 \nL 78.087493 98.006771 \nL 84.614868 96.085952 \nL 91.392478 95.414712 \nL 98.187381 95.885775 \nL 104.803546 97.324329 \nL 111.091982 99.518618 \nL 116.952231 102.249635 \nL 122.327524 105.314492 \nL 127.1965 108.541004 \nL 131.564062 111.793822 \nL 135.453003 114.974054 \nL 138.897208 118.014925 \nL 144.613436 123.534917 \nL 149.048013 128.229213 \nL 159.666318 139.972088 \nL 161.575116 141.57126 \nL 163.458415 142.755222 \nL 165.397597 143.553784 \nL 167.450249 143.983384 \nL 169.65283 144.050273 \nL 172.021617 143.754055 \nL 174.551934 143.091941 \nL 177.21589 142.063926 \nL 179.959051 140.679265 \nL 182.696956 138.964199 \nL 185.312879 136.970392 \nL 187.658862 134.78269 \nL 189.562562 132.52366 \nL 190.291502 131.415677 \nL 190.842124 130.351418 \nL 191.194132 129.354171 \nL 191.330031 128.447243 \nL 191.236149 127.65295 \nL 190.903628 126.991517 \nL 190.329234 126.47998 \nL 189.515953 126.131151 \nL 188.473253 125.952832 \nL 187.216996 125.94732 \nL 185.768941 126.111262 \nL 184.155881 126.435983 \nL 180.559934 127.51075 \nL 176.69586 129.028403 \nL 172.825615 130.826578 \nL 169.170531 132.758535 \nL 165.891783 134.713925 \nL 163.08753 136.623184 \nL 160.801816 138.450302 \nL 159.038885 140.180857 \nL 157.777987 141.810662 \nL 156.985884 143.337589 \nL 156.626138 144.756818 \nL 156.665261 146.058727 \nL 157.076317 147.228346 \nL 157.840588 148.245499 \nL 158.947864 149.085068 \nL 160.395722 149.717145 \nL 162.187948 150.106968 \nL 164.332135 150.214829 \nL 166.836257 149.996173 \nL 169.703912 149.402386 \nL 172.927799 148.382885 \nL 176.481012 146.889415 \nL 180.30589 144.88372 \nL 184.300741 142.349707 \nL 188.305967 139.310825 \nL 190.243899 137.625501 \nL 192.093034 135.851757 \nL 193.81367 134.013371 \nL 195.362439 132.140314 \nL 196.693345 130.268746 \nL 197.759319 128.440546 \nL 198.514234 126.70222 \nL 198.915396 125.103124 \nL 198.926367 123.692997 \nL 198.519915 122.518868 \nL 197.680789 121.621625 \nL 196.407996 121.032527 \nL 194.716184 120.770251 \nL 192.635858 120.838792 \nL 190.212248 121.226795 \nL 187.502854 121.90843 \nL 184.57394 122.845799 \nL 181.496334 123.992536 \nL 175.175651 126.712093 \nL 169.046699 129.685503 \nL 163.478167 132.627281 \nL 158.678206 135.382094 \nL 154.71713 137.904029 \nL 151.569649 140.212903 \nL 149.15639 142.354018 \nL 147.37556 144.372404 \nL 146.123537 146.30105 \nL 145.306514 148.158468 \nL 144.845979 149.950811 \nL 144.680412 151.675403 \nL 144.764863 153.32403 \nL 145.069559 154.885304 \nL 145.578198 156.346058 \nL 146.286352 157.691851 \nL 147.200159 158.906787 \nL 148.335381 159.972815 \nL 149.716797 160.868593 \nL 151.377872 161.56797 \nL 153.360516 162.038082 \nL 155.714715 162.237059 \nL 158.497636 162.111346 \nL 161.771629 161.59278 \nL 165.600179 160.595816 \nL 170.040448 159.015741 \nL 172.503095 157.969215 \nL 175.130402 156.729664 \nL 177.920703 155.280004 \nL 180.867948 153.603429 \nL 183.960422 151.684347 \nL 187.179257 149.509649 \nL 190.496761 147.070415 \nL 193.874616 144.364091 \nL 197.262074 141.397145 \nL 200.594328 138.188174 \nL 203.791332 134.771302 \nL 206.757435 131.19956 \nL 209.382329 127.547731 \nL 211.54384 123.913931 \nL 213.113063 120.418968 \nL 213.96222 117.202436 \nL 213.975229 114.414673 \nL 213.060354 112.204228 \nL 211.163466 110.70147 \nL 208.279799 110.000427 \nL 204.461325 110.142274 \nL 199.817391 111.104625 \nL 194.507115 112.800381 \nL 188.724245 115.087636 \nL 182.677064 117.789273 \nL 170.573404 123.698525 \nL 154.508354 131.736893 \nL 145.966928 135.817758 \nL 129.82744 143.333807 \nL 126.64956 145.09467 \nL 124.104956 146.747445 \nL 121.006175 149.139293 \nL 116.461428 152.911253 \nL 114.540629 154.278528 \nL 112.446723 155.511761 \nL 110.126387 156.566746 \nL 107.540875 157.391483 \nL 104.667164 157.924015 \nL 101.501599 158.090293 \nL 99.815033 158.009341 \nL 98.066244 157.80314 \nL 96.263483 157.45898 \nL 94.417841 156.963757 \nL 92.543617 156.304306 \nL 90.658655 155.467877 \nL 88.784622 154.442766 \nL 86.94721 153.219127 \nL 85.176147 151.789935 \nL 83.50503 150.152124 \nL 81.97084 148.307842 \nL 80.613146 146.265751 \nL 79.472894 144.042242 \nL 78.590813 141.662455 \nL 78.005432 139.160889 \nL 77.750812 136.581422 \nL 77.85415 133.976562 \nL 78.333467 131.405824 \nL 79.195629 128.933182 \nL 80.435013 126.623772 \nL 82.032993 124.540028 \nL 83.958424 122.737736 \nL 86.169139 121.262386 \nL 88.614303 120.146313 \nL 91.237394 119.407036 \nL 93.979452 119.046867 \nL 96.782254 119.053908 \nL 99.591084 119.404085 \nL 102.356907 120.063988 \nL 105.037788 120.994015 \nL 107.599628 122.151467 \nL 110.016244 123.493299 \nL 112.268972 124.978298 \nL 114.345919 126.568655 \nL 116.241028 128.230922 \nL 117.953061 129.936449 \nL 119.484602 131.661404 \nL 120.841126 133.386525 \nL 122.03017 135.096665 \nL 123.942161 138.428897 \nL 125.298204 141.599259 \nL 126.175365 144.58197 \nL 126.642008 147.371754 \nL 126.753647 149.974855 \nL 126.551398 152.403074 \nL 126.061948 154.669891 \nL 125.298301 156.78793 \nL 124.260828 158.767205 \nL 122.938342 160.61368 \nL 121.309136 162.327798 \nL 119.342023 163.902635 \nL 116.997593 165.321435 \nL 114.230081 166.554125 \nL 110.990448 167.55258 \nL 109.1786 167.942488 \nL 107.231656 168.244372 \nL 105.145489 168.444117 \nL 102.91747 168.525072 \nL 100.547079 168.467797 \nL 98.036633 168.249846 \nL 95.392185 167.845641 \nL 92.624556 167.22649 \nL 89.750538 166.360823 \nL 86.794213 165.214749 \nL 83.788335 163.753044 \nL 80.775695 161.940731 \nL 77.810266 159.745352 \nL 74.957962 157.140054 \nL 72.29666 154.107546 \nL 69.915154 150.644802 \nL 67.910706 146.76825 \nL 66.384815 142.518902 \nL 65.43713 137.96656 \nL 65.157649 133.212034 \nL 65.617779 128.386145 \nL 66.861362 123.644596 \nL 68.897105 119.158216 \nL 71.693992 115.099143 \nL 75.181026 111.624639 \nL 79.251822 108.861072 \nL 83.773636 106.891102 \nL 88.599364 105.746532 \nL 93.580412 105.40818 \nL 98.578308 105.81238 \nL 103.473421 106.862358 \nL 108.170033 108.441841 \nL 112.597885 110.428363 \nL 116.710896 112.704227 \nL 120.48409 115.164136 \nL 123.909661 117.719413 \nL 126.992931 120.299333 \nL 129.748669 122.850307 \nL 132.197986 125.333874 \nL 134.36587 127.724095 \nL 137.9659 132.167728 \nL 140.766603 136.130165 \nL 142.971628 139.623062 \nL 148.981389 149.696041 \nL 150.349823 151.41731 \nL 151.827682 152.860861 \nL 153.476888 154.029354 \nL 155.354095 154.91468 \nL 157.512994 155.497539 \nL 160.005408 155.746784 \nL 162.880879 155.618745 \nL 166.184218 155.056787 \nL 169.950335 153.991845 \nL 174.195304 152.345072 \nL 176.493929 151.277704 \nL 178.902463 150.034518 \nL 181.410448 148.606988 \nL 184.002557 146.988595 \nL 186.65766 145.175869 \nL 189.347866 143.169631 \nL 192.037609 140.976459 \nL 194.682878 138.610333 \nL 197.230724 136.094343 \nL 199.61923 133.462334 \nL 201.77815 130.760249 \nL 203.630459 128.046837 \nL 205.094979 125.393355 \nL 206.09029 122.881852 \nL 206.53987 120.601693 \nL 206.378259 118.64412 \nL 205.557776 117.095044 \nL 204.054931 116.026647 \nL 201.875547 115.488901 \nL 199.057482 115.502486 \nL 195.670082 116.054684 \nL 191.810013 117.099498 \nL 187.593829 118.562334 \nL 183.148343 120.348633 \nL 178.600371 122.354878 \nL 169.6508 126.633671 \nL 157.798237 132.654186 \nL 148.684111 137.509233 \nL 144.112755 140.156857 \nL 140.55916 142.488897 \nL 137.824589 144.62944 \nL 135.716323 146.666352 \nL 134.063585 148.651256 \nL 132.722425 150.608118 \nL 131.042917 153.501472 \nL 128.419495 158.161149 \nL 126.599103 160.809508 \nL 125.172753 162.494555 \nL 123.517633 164.103246 \nL 121.581613 165.622063 \nL 119.309106 167.031679 \nL 116.64049 168.303283 \nL 113.512842 169.393584 \nL 109.862772 170.23817 \nL 107.823303 170.540344 \nL 105.632537 170.742931 \nL 103.285977 170.827817 \nL 100.781268 170.773686 \nL 98.11902 170.55569 \nL 95.3038 170.145207 \nL 92.345336 169.509743 \nL 89.259923 168.613063 \nL 86.072013 167.415673 \nL 82.81595 165.875823 \nL 79.5377 163.951173 \nL 76.296455 161.60134 \nL 73.165767 158.791505 \nL 70.23391 155.497116 \nL 67.602946 151.709723 \nL 65.386044 147.44355 \nL 63.702539 142.742186 \nL 62.670538 137.684311 \nL 62.397192 132.386962 \nL 62.967379 127.00473 \nL 64.432209 121.723405 \nL 66.79937 116.747489 \nL 70.027507 112.282256 \nL 74.02637 108.512693 \nL 78.663484 105.582986 \nL 83.776517 103.580737 \nL 89.189152 102.52923 \nL 94.727484 102.38922 \nL 100.23405 103.069289 \nL 105.577545 104.441919 \nL 110.657547 106.361493 \nL 115.404788 108.680788 \nL 119.778195 111.263602 \nL 123.76016 113.992678 \nL 127.351247 116.773187 \nL 130.565181 119.532791 \nL 133.424571 122.219466 \nL 135.957507 124.798238 \nL 140.169054 129.556217 \nL 143.45316 133.739522 \nL 147.153808 138.981815 \nL 150.807488 144.314137 \nL 152.418575 146.380851 \nL 154.034038 148.094829 \nL 155.739852 149.475555 \nL 157.607522 150.529822 \nL 159.697644 151.252021 \nL 162.062062 151.624471 \nL 164.744326 151.617947 \nL 167.778097 151.192629 \nL 171.183022 150.300143 \nL 174.957552 148.887549 \nL 179.068174 146.904697 \nL 183.43497 144.316549 \nL 185.672547 142.793189 \nL 187.914382 141.122145 \nL 190.129771 139.31291 \nL 192.282178 137.380663 \nL 194.329212 135.347231 \nL 196.222946 133.241904 \nL 197.910733 131.101933 \nL 199.336588 128.972547 \nL 200.443268 126.906291 \nL 201.175009 124.961466 \nL 201.480922 123.199617 \nL 201.31881 121.681984 \nL 200.659108 120.465148 \nL 199.488507 119.596242 \nL 197.812694 119.108313 \nL 195.657729 119.016519 \nL 193.069649 119.315991 \nL 190.112135 119.981788 \nL 186.862442 120.971193 \nL 183.406066 122.228029 \nL 179.830869 123.688406 \nL 172.654408 126.961767 \nL 165.895669 130.33922 \nL 159.918385 133.529525 \nL 154.887101 136.413358 \nL 150.815148 138.992885 \nL 147.623582 141.328622 \nL 145.189791 143.492671 \nL 143.380052 145.544429 \nL 142.068205 147.523064 \nL 141.144621 149.449084 \nL 140.519196 151.329307 \nL 140.120988 153.162067 \nL 139.83615 155.808669 \nL 139.822233 158.30991 \nL 140.01129 160.643399 \nL 140.375009 162.791996 \nL 140.914497 164.742491 \nL 141.654718 166.482408 \nL 142.282055 167.517863 \nL 143.038755 168.44647 \nL 143.949649 169.259476 \nL 145.045451 169.944872 \nL 146.363699 170.486203 \nL 147.949841 170.861015 \nL 149.858421 171.038815 \nL 152.154209 170.978391 \nL 154.912991 170.624323 \nL 158.221511 169.902588 \nL 162.175653 168.715331 \nL 166.875296 166.935269 \nL 172.413255 164.4012 \nL 175.518818 162.791549 \nL 178.854364 160.917873 \nL 182.417669 158.752177 \nL 186.199046 156.266795 \nL 190.178902 153.43619 \nL 194.324818 150.239585 \nL 198.588267 146.6645 \nL 202.901043 142.711431 \nL 207.171733 138.399639 \nL 211.282719 133.773902 \nL 215.088451 128.911742 \nL 218.416034 123.930096 \nL 221.069435 118.989789 \nL 222.838692 114.295474 \nL 223.515235 110.088235 \nL 222.913537 106.628258 \nL 220.897657 104.166429 \nL 217.408839 102.90678 \nL 212.487932 102.966054 \nL 206.285238 104.340947 \nL 199.051832 106.894946 \nL 191.111232 110.37287 \nL 182.816934 114.442323 \nL 151.948105 130.338032 \nL 145.667902 133.247619 \nL 140.070245 135.625371 \nL 135.128641 137.517096 \nL 130.795164 138.991346 \nL 127.011415 140.123636 \nL 120.848429 141.642792 \nL 116.177488 142.538177 \nL 105.808121 144.135899 \nL 102.213469 144.579017 \nL 100.393077 144.580067 \nL 98.716552 144.310233 \nL 97.679908 143.961062 \nL 96.725645 143.472427 \nL 95.87774 142.849532 \nL 95.164783 142.10631 \nL 94.616691 141.265902 \nL 94.261255 140.360455 \nL 94.120603 139.430002 \nL 94.207987 138.520266 \nL 94.525244 137.679496 \nL 95.061333 136.954545 \nL 95.792287 136.386763 \nL 96.682616 136.008299 \nL 97.687965 135.83945 \nL 98.758612 135.887414 \nL 99.843242 136.146587 \nL 100.892456 136.600165 \nL 101.861558 137.222631 \nL 102.712448 137.982592 \nL 103.414563 138.845491 \nL 103.945027 139.775869 \nL 104.288207 140.739006 \nL 104.434963 141.701922 \nL 104.381813 142.633816 \nL 104.130169 143.506107 \nL 103.685824 144.292217 \nL 103.058715 144.967254 \nL 102.263014 145.507752 \nL 101.317504 145.891581 \nL 100.246203 146.09816 \nL 99.07908 146.109089 \nL 97.852733 145.90926 \nL 96.610781 145.488545 \nL 95.403685 144.843984 \nL 94.287711 143.98233 \nL 93.322718 142.922668 \nL 92.568642 141.698533 \nL 92.080712 140.358889 \nL 91.903801 138.967272 \nL 92.06668 137.598542 \nL 92.577213 136.333184 \nL 93.419615 135.249707 \nL 94.554584 134.416343 \nL 95.922572 133.883707 \nL 97.449648 133.6799 \nL 99.054841 133.809022 \nL 100.657588 134.253063 \nL 102.184003 134.97647 \nL 103.571197 135.931989 \nL 104.769442 137.066564 \nL 105.742382 138.326248 \nL 106.465877 139.65968 \nL 106.926055 141.020024 \nL 107.117116 142.365635 \nL 107.039306 143.659763 \nL 106.697326 144.869669 \nL 106.099326 145.965441 \nL 105.256542 146.918777 \nL 104.183597 147.701888 \nL 102.899418 148.286717 \nL 101.42869 148.644623 \nL 99.803755 148.746698 \nL 98.066729 148.564979 \nL 96.271503 148.074765 \nL 94.485164 147.25819 \nL 92.788168 146.109111 \nL 91.272476 144.638973 \nL 90.036913 142.88286 \nL 89.555078 141.916231 \nL 89.179337 140.90431 \nL 88.919998 139.859773 \nL 88.785853 138.797017 \nL 88.783787 137.731916 \nL 88.918423 136.681465 \nL 89.191817 135.663328 \nL 89.603248 134.695318 \nL 90.149106 133.794808 \nL 90.822911 132.978132 \nL 91.615444 132.260007 \nL 92.515009 131.653014 \nL 93.507798 131.167171 \nL 94.578341 130.809649 \nL 95.710013 130.584597 \nL 96.885566 130.493157 \nL 98.08765 130.533606 \nL 99.299285 130.701592 \nL 100.504301 130.990514 \nL 102.835743 131.896008 \nL 104.979444 133.168513 \nL 106.858752 134.717663 \nL 108.422481 136.455116 \nL 109.641409 138.301487 \nL 110.503282 140.189527 \nL 111.007605 142.064425 \nL 111.161008 143.882293 \nL 110.973646 145.607695 \nL 110.456759 147.210862 \nL 109.621385 148.664919 \nL 108.47816 149.943373 \nL 107.038127 151.01788 \nL 105.31453 151.856393 \nL 103.325551 152.421836 \nL 101.098015 152.671511 \nL 98.67193 152.557647 \nL 96.10564 152.029696 \nL 94.794447 151.594985 \nL 93.480964 151.039077 \nL 92.179756 150.357505 \nL 90.907221 149.547128 \nL 89.681522 148.606553 \nL 88.522438 147.536629 \nL 87.451072 146.340945 \nL 86.489452 145.026314 \nL 85.659962 143.603209 \nL 84.984651 142.086108 \nL 84.484413 140.493655 \nL 84.178063 138.848645 \nL 84.081378 137.177714 \nL 84.206151 135.510777 \nL 84.559335 133.880127 \nL 85.142387 132.319272 \nL 85.950829 130.861575 \nL 86.974166 129.538737 \nL 88.196113 128.379309 \nL 89.595185 127.407331 \nL 91.145581 126.641228 \nL 92.818312 126.09309 \nL 94.582458 125.76836 \nL 96.406441 125.66595 \nL 98.259265 125.778804 \nL 100.111564 126.094721 \nL 101.936464 126.59744 \nL 103.710181 127.267781 \nL 105.41239 128.084813 \nL 107.026358 129.026926 \nL 108.538891 130.072706 \nL 109.94013 131.201674 \nL 111.223231 132.394792 \nL 112.383996 133.634803 \nL 114.332497 136.196234 \nL 115.789532 138.78691 \nL 116.776446 141.336279 \nL 117.322386 143.796747 \nL 117.4573 146.137412 \nL 117.207376 148.338257 \nL 116.592455 150.385233 \nL 115.624997 152.266206 \nL 114.310216 153.967555 \nL 112.647204 155.471137 \nL 110.63098 156.751479 \nL 108.255601 157.772944 \nL 105.518604 158.486984 \nL 104.016155 158.709387 \nL 102.427172 158.829638 \nL 100.755427 158.837074 \nL 99.006466 158.719977 \nL 97.188006 158.465664 \nL 95.310354 158.060673 \nL 93.386849 157.491041 \nL 91.434296 156.742716 \nL 89.473362 155.802144 \nL 87.528909 154.657019 \nL 85.630189 153.297247 \nL 83.810839 151.716098 \nL 82.108632 149.911541 \nL 80.564853 147.887692 \nL 79.223279 145.65629 \nL 78.128699 143.238047 \nL 77.324974 140.663695 \nL 76.852678 137.974499 \nL 76.746461 135.221996 \nL 77.032341 132.46682 \nL 77.725205 129.77644 \nL 78.826831 127.221912 \nL 80.324737 124.873802 \nL 82.192102 122.797673 \nL 84.388857 121.049665 \nL 86.863882 119.672716 \nL 89.558085 118.693911 \nL 92.407994 118.123335 \nL 95.349448 117.954467 \nL 98.320989 118.166041 \nL 101.266611 118.724949 \nL 104.137722 119.58974 \nL 106.894253 120.714275 \nL 109.504991 122.051013 \nL 111.947279 123.553784 \nL 114.206269 125.179798 \nL 116.273907 126.89095 \nL 118.147793 128.654463 \nL 119.830041 130.443034 \nL 121.326199 132.234583 \nL 122.644299 134.011786 \nL 123.794032 135.761483 \nL 125.631491 139.142706 \nL 126.92655 142.332765 \nL 127.762518 145.316378 \nL 128.211197 148.09605 \nL 128.329805 150.683706 \nL 128.160228 153.095329 \nL 127.729547 155.347661 \nL 127.051122 157.45617 \nL 126.125817 159.433738 \nL 124.943088 161.289629 \nL 123.481888 163.028463 \nL 121.711389 164.648871 \nL 119.591699 166.141571 \nL 117.074841 167.486563 \nL 114.106484 168.649069 \nL 110.629165 169.573896 \nL 108.682196 169.922537 \nL 106.588157 170.177908 \nL 104.342298 170.323713 \nL 101.941658 170.340664 \nL 99.385782 170.206177 \nL 96.677617 169.894104 \nL 93.824588 169.374581 \nL 90.839869 168.614072 \nL 87.743848 167.575674 \nL 84.565724 166.219867 \nL 81.3452 164.505835 \nL 78.134068 162.393524 \nL 74.997534 159.846634 \nL 72.014911 156.836676 \nL 69.279326 153.348051 \nL 66.89595 149.384077 \nL 64.978288 144.973382 \nL 63.642212 140.175927 \nL 62.997648 135.087345 \nL 63.13838 129.840183 \nL 64.130973 124.600455 \nL 66.004477 119.558581 \nL 68.742946 114.914666 \nL 72.282691 110.859581 \nL 76.515496 107.554754 \nL 81.297793 105.114427 \nL 86.464348 103.594081 \nL 91.84396 102.98738 \nL 97.274302 103.231907 \nL 102.613563 104.221941 \nL 107.747559 105.824946 \nL 112.592269 107.898369 \nL 117.092622 110.303835 \nL 121.218825 112.917214 \nL 124.961542 115.634286 \nL 128.326903 118.372544 \nL 131.331995 121.070287 \nL 134.001103 123.68403 \nL 136.362781 126.185245 \nL 140.286925 130.791034 \nL 143.34969 134.840935 \nL 146.817605 139.930353 \nL 150.28976 145.139041 \nL 151.845714 147.17099 \nL 153.421506 148.864142 \nL 155.099059 150.23549 \nL 156.947396 151.289744 \nL 159.026067 152.019472 \nL 161.387219 152.405234 \nL 164.076039 152.415844 \nL 167.129161 152.008986 \nL 170.570573 151.132844 \nL 174.40438 149.729603 \nL 178.603781 147.742319 \nL 180.820106 146.514915 \nL 183.095926 145.126913 \nL 185.411873 143.577956 \nL 187.743281 141.87133 \nL 190.059634 140.015017 \nL 192.324155 138.022804 \nL 194.493637 135.91539 \nL 196.518636 133.721372 \nL 198.344141 131.477974 \nL 199.91088 129.231281 \nL 201.157346 127.035783 \nL 202.022613 124.952982 \nL 202.449895 123.048912 \nL 202.390694 121.39048 \nL 201.809208 120.040807 \nL 200.686529 119.053892 \nL 199.024011 118.469241 \nL 196.845211 118.307325 \nL 194.195909 118.566659 \nL 191.141908 119.223245 \nL 187.76481 120.232697 \nL 184.156197 121.534843 \nL 180.411078 123.060023 \nL 172.871079 126.494781 \nL 165.758864 130.035593 \nL 159.470601 133.359604 \nL 154.182829 136.337609 \nL 149.906341 138.976793 \nL 146.552151 141.348707 \nL 143.985182 143.53646 \nL 142.059529 145.607832 \nL 140.638208 147.607465 \nL 139.6023 149.559077 \nL 138.8537 151.471268 \nL 138.103666 154.263008 \nL 137.636266 156.945906 \nL 137.163544 161.122651 \nL 136.473693 167.615992 \nL 135.89695 170.695494 \nL 135.212256 172.939577 \nL 134.50257 174.521284 \nL 133.558557 176.037371 \nL 132.298255 177.507867 \nL 131.229063 178.472438 \nL 129.928822 179.430047 \nL 128.346256 180.383552 \nL 126.418976 181.332331 \nL 124.071535 182.269657 \nL 121.213575 183.178474 \nL 117.738616 184.024725 \nL 113.524453 184.746996 \nL 108.437139 185.240796 \nL 105.523469 185.352097 \nL 102.342044 185.335522 \nL 98.879869 185.154187 \nL 95.128083 184.762627 \nL 91.084162 184.105478 \nL 86.754802 183.116261 \nL 82.159606 181.716558 \nL 77.335658 179.815964 \nL 72.342903 177.313371 \nL 67.270169 174.100391 \nL 62.241261 170.067872 \nL 57.42012 165.116612 \nL 53.013412 159.173138 \nL 49.268286 152.210776 \nL 46.46263 144.274755 \nL 44.885267 135.507833 \nL 44.805107 126.169887 \nL 46.431275 116.642554 \nL 49.87059 107.409711 \nL 55.09311 99.008692 \nL 61.91783 91.956086 \nL 70.027188 86.66336 \nL 79.010185 83.365675 \nL 88.423424 82.086224 \nL 97.852982 82.647072 \nL 106.960765 84.72055 \nL 115.506878 87.901997 \nL 123.348955 91.781096 \nL 130.42604 95.995002 \nL 136.736205 100.256935 \nL 142.314912 104.362918 \nL 151.50892 111.650381 \nL 175.11172 131.236788 \nL 175.645257 131.958154 \nL 175.861759 132.555755 \nL 175.834071 133.083742 \nL 175.471054 133.818732 \nL 174.443053 135.01417 \nL 173.28823 136.400254 \nL 172.907865 137.199025 \nL 172.911298 137.675985 \nL 173.180238 138.013022 \nL 173.706946 138.18334 \nL 174.463459 138.167271 \nL 175.402489 137.955266 \nL 176.821653 137.377358 \nL 178.241763 136.519438 \nL 179.420316 135.504206 \nL 179.997558 134.74617 \nL 180.216015 134.087268 \nL 180.135646 133.744452 \nL 179.868993 133.502958 \nL 179.423117 133.377321 \nL 178.459526 133.42077 \nL 177.232648 133.735211 \nL 175.872527 134.282492 \nL 174.094641 135.26726 \nL 172.631725 136.387468 \nL 171.877482 137.216943 \nL 171.48283 137.96815 \nL 171.433943 138.398414 \nL 171.55898 138.755264 \nL 171.854976 139.025591 \nL 172.314768 139.197663 \nL 173.285817 139.250012 \nL 174.543209 139.034415 \nL 176.007585 138.541966 \nL 177.573589 137.78612 \nL 179.109325 136.809754 \nL 180.460938 135.690167 \nL 181.465444 134.538618 \nL 181.866956 133.819624 \nL 182.011805 133.188736 \nL 181.877627 132.685297 \nL 181.458151 132.34184 \nL 180.76527 132.180578 \nL 179.829106 132.211078 \nL 178.695917 132.429628 \nL 176.756372 133.072858 \nL 174.72614 134.012372 \nL 172.818597 135.13819 \nL 171.210073 136.341987 \nL 170.025429 137.529371 \nL 169.509435 138.272556 \nL 169.226455 138.95333 \nL 169.180645 139.553395 \nL 169.370714 140.055579 \nL 169.790977 140.443492 \nL 170.431927 140.701442 \nL 171.280324 140.814691 \nL 172.318796 140.770019 \nL 173.52502 140.556627 \nL 175.584719 139.906053 \nL 177.827644 138.861572 \nL 180.079547 137.465447 \nL 181.478227 136.385342 \nL 182.708337 135.236375 \nL 183.691859 134.075836 \nL 184.353824 132.970624 \nL 184.630156 131.992169 \nL 184.608798 131.572273 \nL 184.476314 131.209148 \nL 184.231488 130.909557 \nL 183.875183 130.679051 \nL 182.842325 130.440264 \nL 181.426918 130.506728 \nL 179.707636 130.866739 \nL 177.784017 131.486336 \nL 175.765167 132.316241 \nL 172.789807 133.832523 \nL 170.145601 135.514663 \nL 168.676493 136.65443 \nL 167.490833 137.769422 \nL 166.611339 138.833584 \nL 166.047914 139.825419 \nL 165.801375 140.725848 \nL 165.866676 141.516547 \nL 166.235323 142.178852 \nL 166.896867 142.693169 \nL 167.83945 143.038892 \nL 169.049482 143.194731 \nL 170.51048 143.139432 \nL 172.201142 142.853036 \nL 174.09275 142.31873 \nL 176.14604 141.525463 \nL 178.307819 140.471384 \nL 180.507822 139.168095 \nL 182.656544 137.645392 \nL 184.645162 135.955664 \nL 186.348808 134.17675 \nL 187.634483 132.411403 \nL 188.374189 130.781457 \nL 188.504968 130.057682 \nL 188.462605 129.415639 \nL 188.24069 128.869546 \nL 187.836543 128.431636 \nL 187.251582 128.111563 \nL 186.491509 127.915916 \nL 185.56628 127.847876 \nL 184.489883 127.907082 \nL 181.95674 128.388775 \nL 179.062993 129.295487 \nL 176.000181 130.529406 \nL 172.953948 131.982151 \nL 170.083003 133.553951 \nL 167.507374 135.16527 \nL 165.306056 136.759916 \nL 163.521603 138.301843 \nL 162.168393 139.768939 \nL 161.241737 141.14665 \nL 160.726099 142.422864 \nL 160.601529 143.584581 \nL 160.848172 144.616043 \nL 161.448987 145.497929 \nL 162.390959 146.207127 \nL 163.665073 146.716818 \nL 165.265204 146.996728 \nL 167.185995 147.013637 \nL 169.419692 146.732293 \nL 171.951811 146.117132 \nL 174.755527 145.135214 \nL 177.784751 143.761014 \nL 180.966207 141.9835 \nL 184.191317 139.815882 \nL 187.30968 137.307463 \nL 190.127073 134.555809 \nL 191.351598 133.134725 \nL 192.412016 131.715293 \nL 193.276749 130.325534 \nL 193.915149 128.996019 \nL 194.298935 127.758856 \nL 194.403772 126.646321 \nL 194.210895 125.689245 \nL 193.708661 124.915173 \nL 192.893821 124.34657 \nL 191.772417 123.999159 \nL 190.360096 123.880694 \nL 188.681774 123.990291 \nL 186.770658 124.318489 \nL 184.666632 124.848017 \nL 182.414218 125.555262 \nL 177.651603 127.388496 \nL 172.845283 129.579347 \nL 168.299726 131.913445 \nL 164.229147 134.237427 \nL 160.753957 136.465536 \nL 157.916532 138.565313 \nL 155.704655 140.536094 \nL 154.07426 142.390086 \nL 152.967435 144.139918 \nL 152.324924 145.792442 \nL 152.093819 147.346831 \nL 152.231695 148.794907 \nL 152.708355 150.122289 \nL 153.506076 151.309419 \nL 154.618995 152.332128 \nL 156.051977 153.161611 \nL 157.819135 153.763905 \nL 159.941934 154.098931 \nL 162.446644 154.119416 \nL 165.360749 153.769971 \nL 168.707643 152.986888 \nL 172.498823 151.69955 \nL 176.722585 149.834778 \nL 181.328352 147.326086 \nL 183.743131 145.81522 \nL 186.206345 144.130295 \nL 188.691131 142.273862 \nL 191.163974 140.253778 \nL 193.584183 138.084532 \nL 195.903608 135.788597 \nL 198.066796 133.397649 \nL 200.011721 130.953498 \nL 201.671266 128.508432 \nL 202.975601 126.124706 \nL 203.855517 123.872909 \nL 204.24672 121.828912 \nL 204.094824 120.069405 \nL 203.360688 118.666089 \nL 202.025419 117.679113 \nL 200.094317 117.150542 \nL 197.598938 117.098942 \nL 194.596669 117.51623 \nL 191.167565 118.367602 \nL 187.408681 119.594925 \nL 183.426662 121.123059 \nL 179.329703 122.868083 \nL 171.187977 126.680084 \nL 163.636904 130.477786 \nL 154.195946 135.508999 \nL 149.297112 138.335687 \nL 145.430126 140.823872 \nL 142.444078 143.079324 \nL 140.170505 145.19204 \nL 138.448853 147.223513 \nL 137.138192 149.208384 \nL 136.120772 151.16145 \nL 134.94108 154.034893 \nL 131.973008 162.090305 \nL 130.706808 164.54267 \nL 129.686299 166.110006 \nL 128.482601 167.623693 \nL 127.054728 169.083091 \nL 125.355587 170.485128 \nL 123.330574 171.822286 \nL 120.916475 173.079694 \nL 118.040968 174.230908 \nL 114.623276 175.231783 \nL 110.577023 176.011729 \nL 108.291205 176.286656 \nL 105.817 176.461583 \nL 103.146136 176.514229 \nL 100.272652 176.417729 \nL 97.193995 176.14002 \nL 93.91241 175.643273 \nL 90.436689 174.883484 \nL 86.784286 173.810354 \nL 82.983814 172.36767 \nL 79.077861 170.494425 \nL 75.125978 168.127056 \nL 71.20755 165.203141 \nL 67.424094 161.666982 \nL 63.900299 157.477341 \nL 60.7829 152.617314 \nL 58.236388 147.10587 \nL 56.434561 141.009781 \nL 55.547392 134.4537 \nL 55.72361 127.62528 \nL 57.070687 120.771882 \nL 59.635501 114.186038 \nL 63.390073 108.179101 \nL 68.226717 103.0457 \nL 73.965366 99.025587 \nL 80.37275 96.271368 \nL 87.189601 94.830273 \nL 94.159879 94.644431 \nL 101.055711 95.568578 \nL 107.693787 97.399508 \nL 113.941914 99.909064 \nL 119.717255 102.873353 \nL 124.979118 106.093609 \nL 129.719429 109.40749 \nL 133.953238 112.692106 \nL 137.710566 115.861281 \nL 141.030108 118.85975 \nL 146.528298 124.237259 \nL 150.792681 128.753252 \nL 160.138418 138.903136 \nL 162.080015 140.56648 \nL 163.957019 141.801492 \nL 165.856541 142.644941 \nL 167.839937 143.119502 \nL 169.945997 143.237239 \nL 172.192495 143.003339 \nL 174.576148 142.420331 \nL 177.071221 141.493086 \nL 179.627217 140.234705 \nL 182.166507 138.673352 \nL 184.583135 136.859391 \nL 186.744516 134.871682 \nL 188.498047 132.820887 \nL 189.171811 131.814681 \nL 189.684336 130.847066 \nL 190.017987 129.938377 \nL 190.157566 129.108921 \nL 190.091166 128.378152 \nL 189.810981 127.76378 \nL 189.313967 127.280865 \nL 188.602351 126.940995 \nL 187.68386 126.751626 \nL 186.571673 126.715636 \nL 185.284048 126.83121 \nL 182.276711 127.487689 \nL 178.878654 128.626747 \nL 175.326264 130.11733 \nL 171.840521 131.822378 \nL 168.601473 133.623622 \nL 165.736479 135.434191 \nL 163.320891 137.199206 \nL 161.38687 138.888726 \nL 159.935507 140.488191 \nL 158.9488 141.989882 \nL 158.399582 143.386889 \nL 158.258831 144.669653 \nL 158.500447 145.824399 \nL 159.10396 146.832654 \nL 160.055613 147.671284 \nL 161.348211 148.312636 \nL 162.97997 148.72466 \nL 164.952421 148.871041 \nL 167.267314 148.711601 \nL 169.922301 148.203253 \nL 172.905119 147.302157 \nL 176.185981 145.967707 \nL 179.708091 144.169302 \nL 183.37669 141.896695 \nL 187.047944 139.174305 \nL 188.824021 137.665799 \nL 190.520618 136.078555 \nL 192.10347 134.433057 \nL 193.535357 132.754853 \nL 194.776962 131.07451 \nL 195.788117 129.427238 \nL 196.529405 127.852032 \nL 196.964125 126.390313 \nL 197.060515 125.084031 \nL 196.794075 123.973316 \nL 196.149801 123.093833 \nL 195.124052 122.474092 \nL 193.725804 122.133003 \nL 191.977052 122.078137 \nL 189.912215 122.304837 \nL 187.576524 122.79653 \nL 185.023523 123.526178 \nL 182.31195 124.45872 \nL 176.653821 126.77089 \nL 171.052591 129.411693 \nL 165.861655 132.117137 \nL 161.305008 134.721419 \nL 157.48497 137.15258 \nL 154.411786 139.403161 \nL 152.037863 141.497394 \nL 150.286748 143.466907 \nL 149.073706 145.337407 \nL 148.318541 147.123846 \nL 147.952552 148.830491 \nL 147.921572 150.453012 \nL 148.186655 151.980913 \nL 148.723498 153.399381 \nL 149.52131 154.690365 \nL 150.581541 155.832832 \nL 151.91668 156.802321 \nL 153.549162 157.569932 \nL 155.510289 158.100825 \nL 157.838945 158.352377 \nL 160.579723 158.272101 \nL 163.779877 157.79561 \nL 167.484246 156.845153 \nL 171.726929 155.32969 \nL 174.054754 154.328722 \nL 176.518154 153.148271 \nL 179.111444 151.775709 \nL 181.824544 150.199492 \nL 184.641917 148.410079 \nL 187.541391 146.401155 \nL 190.492906 144.171112 \nL 193.457289 141.724891 \nL 196.385129 139.076045 \nL 199.215979 136.249025 \nL 201.878073 133.281419 \nL 204.288861 130.225903 \nL 206.356686 127.15147 \nL 207.983918 124.143368 \nL 209.071764 121.301174 \nL 209.526851 118.734457 \nL 209.269275 116.555683 \nL 208.241478 114.870565 \nL 206.416805 113.766626 \nL 203.806249 113.301678 \nL 200.461796 113.494354 \nL 196.475112 114.31908 \nL 191.971134 115.707233 \nL 187.097313 117.554875 \nL 182.010176 119.735811 \nL 171.787845 124.574771 \nL 150.503875 135.277055 \nL 141.942961 139.705403 \nL 137.764525 142.077013 \nL 134.532533 144.188441 \nL 132.013019 146.162927 \nL 129.999289 148.07341 \nL 128.317536 149.954148 \nL 121.600579 158.012227 \nL 119.786917 159.619729 \nL 117.71571 161.111701 \nL 115.331943 162.456195 \nL 112.583737 163.611361 \nL 109.423886 164.520835 \nL 107.677086 164.860492 \nL 105.814062 165.108147 \nL 103.832691 165.250092 \nL 101.732643 165.270609 \nL 99.515905 165.151825 \nL 97.18742 164.873651 \nL 94.755831 164.413808 \nL 92.234318 163.748018 \nL 89.641517 162.85041 \nL 87.00249 161.694223 \nL 84.349665 160.252864 \nL 81.723653 158.501446 \nL 79.173814 156.418827 \nL 76.758378 153.990203 \nL 74.543933 151.210212 \nL 72.604013 148.08641 \nL 71.016619 144.642786 \nL 69.860528 140.922953 \nL 69.210392 136.992291 \nL 69.130915 132.938425 \nL 69.670559 128.869312 \nL 70.8556 124.908477 \nL 72.685474 121.18741 \nL 75.130324 117.835597 \nL 78.131496 114.96947 \nL 81.605165 112.681885 \nL 85.448737 111.033921 \nL 89.549058 110.050421 \nL 93.791207 109.719969 \nL 98.066511 109.999036 \nL 102.278854 110.819321 \nL 106.348689 112.096696 \nL 110.214737 113.740191 \nL 113.833758 115.659799 \nL 117.178916 117.772304 \nL 120.237349 120.004959 \nL 123.007446 122.297199 \nL 125.496177 124.600809 \nL 127.716711 126.879047 \nL 129.686396 129.105164 \nL 131.425131 131.260712 \nL 134.294881 135.31788 \nL 136.495745 139.009416 \nL 138.185689 142.33959 \nL 140.057282 146.715307 \nL 143.833573 156.355341 \nL 144.699742 157.934237 \nL 145.67275 159.333283 \nL 146.791421 160.552733 \nL 148.09568 161.586437 \nL 149.628472 162.421206 \nL 151.43734 163.035743 \nL 153.575587 163.399096 \nL 156.102865 163.468558 \nL 159.084824 163.187049 \nL 162.591174 162.480171 \nL 166.691138 161.253396 \nL 171.444626 159.390573 \nL 174.079007 158.178806 \nL 176.886815 156.755968 \nL 179.864474 155.103587 \nL 183.003041 153.20387 \nL 186.286678 151.040898 \nL 189.690906 148.602262 \nL 193.180661 145.881209 \nL 196.708254 142.879339 \nL 200.21142 139.609859 \nL 203.611695 136.101284 \nL 206.81349 132.401314 \nL 209.704368 128.580426 \nL 212.157145 124.734449 \nL 214.034391 120.985128 \nL 215.195924 117.477401 \nL 215.509468 114.372349 \nL 214.864095 111.834947 \nL 213.185178 110.016887 \nL 210.448611 109.03627 \nL 206.691188 108.957583 \nL 202.014049 109.776768 \nL 196.576952 111.416208 \nL 190.583314 113.732456 \nL 184.258496 116.536064 \nL 177.825823 119.619093 \nL 149.632605 133.632395 \nL 141.510342 137.338908 \nL 126.443683 143.981941 \nL 123.457138 145.563462 \nL 121.023423 147.060402 \nL 117.966211 149.224496 \nL 114.225475 151.922004 \nL 112.265291 153.126592 \nL 110.150771 154.182093 \nL 107.835077 155.040934 \nL 105.289125 155.648622 \nL 102.502893 155.942591 \nL 99.488998 155.851605 \nL 97.908163 155.637333 \nL 96.288342 155.296847 \nL 94.640255 154.819787 \nL 92.977312 154.196102 \nL 91.315829 153.416465 \nL 89.675159 152.472807 \nL 88.077748 151.358967 \nL 86.549056 150.07147 \nL 85.117288 148.610352 \nL 83.812931 146.980091 \nL 82.668023 145.190472 \nL 81.715156 143.257396 \nL 80.986214 141.203466 \nL 80.510869 139.058267 \nL 80.314926 136.858195 \nL 80.418607 134.645754 \nL 80.834946 132.468252 \nL 81.568446 130.375916 \nL 82.614177 128.419512 \nL 83.95746 126.647625 \nL 85.574219 125.103929 \nL 87.432 123.824614 \nL 89.491584 122.836412 \nL 91.709043 122.155277 \nL 94.038019 121.786003 \nL 96.432001 121.722683 \nL 98.846391 121.949955 \nL 101.240214 122.444809 \nL 103.577344 123.178683 \nL 105.827268 124.11966 \nL 107.965381 125.234506 \nL 109.97289 126.490378 \nL 111.836444 127.856172 \nL 113.547554 129.303458 \nL 115.101912 130.807036 \nL 116.498668 132.345171 \nL 117.739713 133.89958 \nL 118.829025 135.455248 \nL 120.575296 138.524765 \nL 121.79046 141.486487 \nL 122.531156 144.303433 \nL 122.849485 146.958715 \nL 122.788286 149.447551 \nL 122.378852 151.771445 \nL 121.640236 153.93396 \nL 120.579542 155.937595 \nL 119.192802 157.781275 \nL 117.466262 159.457988 \nL 115.378106 160.952276 \nL 112.900819 162.23725 \nL 110.004616 163.270888 \nL 108.390716 163.675113 \nL 106.662614 163.991613 \nL 104.81868 164.208807 \nL 102.858642 164.31326 \nL 100.784057 164.289559 \nL 98.598861 164.120241 \nL 96.310029 163.785788 \nL 93.928297 163.264748 \nL 91.468988 162.534022 \nL 88.952868 161.56938 \nL 86.407022 160.346274 \nL 83.865659 158.841024 \nL 81.370735 157.032421 \nL 78.972295 154.903818 \nL 76.7283 152.445685 \nL 74.70381 149.658567 \nL 72.969284 146.556232 \nL 71.597879 143.168731 \nL 70.661634 139.544876 \nL 70.226717 135.753589 \nL 70.347964 131.883506 \nL 71.063286 128.040272 \nL 72.388684 124.341325 \nL 74.314706 120.908283 \nL 76.8051 117.857582 \nL 79.798164 115.290683 \nL 83.210782 113.285197 \nL 86.944711 111.888498 \nL 90.894146 111.114859 \nL 94.95349 110.946436 \nL 99.024217 111.337778 \nL 103.02007 112.222743 \nL 106.870237 113.522535 \nL 110.520561 115.153521 \nL 113.933094 117.033846 \nL 117.084547 119.088314 \nL 119.964077 121.251372 \nL 122.570857 123.468449 \nL 124.911718 125.696005 \nL 126.999034 127.900715 \nL 128.848932 130.058155 \nL 131.911332 134.169188 \nL 134.255367 137.956639 \nL 136.033813 141.405097 \nL 137.383423 144.528931 \nL 138.851791 148.667259 \nL 140.513071 154.356288 \nL 141.646821 158.041833 \nL 142.586699 160.385904 \nL 143.313109 161.763976 \nL 144.153392 162.996889 \nL 145.13836 164.081791 \nL 146.302069 165.010912 \nL 147.683297 165.770829 \nL 149.326893 166.341298 \nL 151.284988 166.693606 \nL 153.617918 166.788295 \nL 156.394604 166.572253 \nL 159.691847 165.975119 \nL 163.591665 164.905255 \nL 168.175197 163.245982 \nL 173.510855 160.853651 \nL 176.473737 159.330931 \nL 179.633405 157.560884 \nL 182.983324 155.521203 \nL 186.50962 153.190933 \nL 190.188982 150.552243 \nL 193.986276 147.592859 \nL 197.851944 144.309222 \nL 201.719371 140.710423 \nL 205.502486 136.822884 \nL 209.094066 132.695463 \nL 212.365354 128.40453 \nL 215.167797 124.058074 \nL 217.337815 119.79752 \nL 218.70544 115.795591 \nL 219.107347 112.248394 \nL 218.403983 109.360368 \nL 216.499294 107.322024 \nL 213.360059 106.282547 \nL 209.030388 106.322076 \nL 203.636767 107.43076 \nL 197.380266 109.501823 \nL 190.515685 112.343085 \nL 183.321513 115.705813 \nL 168.987887 122.951713 \nL 156.017164 129.52057 \nL 150.31748 132.261546 \nL 145.188518 134.601614 \nL 136.586465 138.187975 \nL 129.932874 140.650111 \nL 117.824283 144.926565 \nL 114.207559 146.508293 \nL 108.451242 149.235866 \nL 106.571471 149.925684 \nL 104.612674 150.439703 \nL 102.552169 150.732944 \nL 100.38912 150.759236 \nL 98.14465 150.47295 \nL 95.862748 149.831819 \nL 93.611198 148.801579 \nL 91.481397 147.362669 \nL 90.496592 146.489983 \nL 89.585704 145.518924 \nL 88.764973 144.455214 \nL 88.050856 143.30719 \nL 87.459536 142.085995 \nL 87.006359 140.805667 \nL 86.705231 139.483076 \nL 86.567966 138.137736 \nL 86.603672 136.791425 \nL 86.818175 135.467624 \nL 87.213559 134.190795 \nL 87.787842 132.985521 \nL 88.534848 131.875569 \nL 89.444267 130.882923 \nL 90.501942 130.026874 \nL 91.690354 129.323235 \nL 92.98927 128.783745 \nL 94.3765 128.415721 \nL 95.828735 128.221947 \nL 97.322371 128.200837 \nL 98.834283 128.346817 \nL 100.342505 128.650881 \nL 101.826775 129.101257 \nL 103.268932 129.684154 \nL 104.653175 130.384482 \nL 105.966168 131.18652 \nL 108.337245 133.033161 \nL 110.322206 135.105452 \nL 111.891895 137.300994 \nL 113.039795 139.537417 \nL 113.773898 141.751783 \nL 114.109818 143.897487 \nL 114.065567 145.94023 \nL 113.658038 147.853869 \nL 112.901021 149.61658 \nL 111.804552 151.207492 \nL 110.375402 152.603705 \nL 108.618627 153.777659 \nL 106.540191 154.694784 \nL 104.150768 155.311563 \nL 101.470862 155.574251 \nL 100.032653 155.553162 \nL 98.53734 155.418801 \nL 96.99338 155.161895 \nL 95.411272 154.772962 \nL 93.803837 154.242598 \nL 92.186445 153.561837 \nL 90.577216 152.722639 \nL 88.997124 151.718467 \nL 87.470005 150.54497 \nL 86.022388 149.200774 \nL 84.683176 147.688327 \nL 83.483061 146.01477 \nL 82.453707 144.192749 \nL 81.626667 142.241075 \nL 81.032068 140.185167 \nL 80.697084 138.057096 \nL 80.644318 135.89518 \nL 80.890209 133.743038 \nL 81.443592 131.648054 \nL 82.304617 129.659354 \nL 83.464141 127.825354 \nL 84.903714 126.191127 \nL 86.596225 124.795871 \nL 88.507136 123.67065 \nL 90.596239 122.836806 \nL 92.81973 122.305083 \nL 95.132414 122.075633 \nL 97.489807 122.138762 \nL 99.849989 122.476399 \nL 102.175041 123.063936 \nL 104.432047 123.872297 \nL 106.59363 124.869976 \nL 108.638094 126.02487 \nL 110.549214 127.305778 \nL 112.315802 128.683534 \nL 113.931115 130.131756 \nL 115.392172 131.627252 \nL 116.699073 133.150158 \nL 117.854331 134.683867 \nL 119.728409 137.732138 \nL 121.061272 140.694193 \nL 121.906815 143.524819 \nL 122.316739 146.201177 \nL 122.334978 148.714432 \nL 121.994785 151.063444 \nL 121.317621 153.250166 \nL 120.313176 155.276227 \nL 118.980111 157.140221 \nL 117.307281 158.835245 \nL 115.27543 160.346365 \nL 112.859538 161.647688 \nL 110.032185 162.69883 \nL 108.456178 163.112969 \nL 106.768581 163.440682 \nL 104.967937 163.670875 \nL 103.054076 163.790694 \nL 101.028566 163.785415 \nL 98.895236 163.638365 \nL 96.660797 163.330933 \nL 94.335523 162.842673 \nL 91.934028 162.151584 \nL 89.476075 161.234583 \nL 86.987397 160.068272 \nL 84.500456 158.630025 \nL 82.055053 156.89948 \nL 79.69865 154.860481 \nL 77.486247 152.503448 \nL 75.479678 149.828113 \nL 73.746068 146.846477 \nL 72.355387 143.585682 \nL 71.376987 140.090418 \nL 70.875202 136.424308 \nL 70.904293 132.669754 \nL 71.503168 128.925693 \nL 72.690589 125.303035 \nL 74.461586 121.917801 \nL 76.785846 118.882619 \nL 79.608521 116.297475 \nL 82.853589 114.241212 \nL 86.429405 112.765047 \nL 90.235634 111.889182 \nL 94.170573 111.603057 \nL 98.137848 111.868881 \nL 102.051692 112.627714 \nL 105.840387 113.806834 \nL 109.447829 115.327184 \nL 112.83351 117.109877 \nL 115.971287 119.081196 \nL 118.847456 121.175869 \nL 121.458502 123.338716 \nL 123.808851 125.52501 \nL 125.908799 127.69994 \nL 127.772725 129.837495 \nL 129.417623 131.91913 \nL 132.124618 135.86955 \nL 134.179963 139.502215 \nL 135.725371 142.812892 \nL 136.885018 145.82003 \nL 138.122554 149.823373 \nL 139.23037 154.367227 \nL 140.523351 159.861642 \nL 141.234012 162.127479 \nL 142.093518 164.108803 \nL 142.786917 165.275333 \nL 143.60569 166.316099 \nL 144.578536 167.224985 \nL 145.738902 167.991518 \nL 147.126235 168.599886 \nL 148.787246 169.027543 \nL 150.777135 169.243269 \nL 153.160608 169.204558 \nL 156.012402 168.854253 \nL 159.416743 168.116354 \nL 163.46474 166.891203 \nL 168.248059 165.050746 \nL 170.941328 163.851187 \nL 173.84623 162.4356 \nL 176.967045 160.77957 \nL 180.303611 158.857643 \nL 183.849652 156.644258 \nL 187.590741 154.115142 \nL 191.501863 151.249348 \nL 195.5446 148.032078 \nL 199.664051 144.458388 \nL 203.785652 140.537894 \nL 207.812278 136.300381 \nL 211.622137 131.802028 \nL 215.068265 127.131599 \nL 217.980638 122.41543 \nL 220.172036 117.819565 \nL 221.448793 113.546757 \nL 221.627014 109.826049 \nL 220.55386 106.893196 \nL 218.131752 104.962058 \nL 214.341287 104.190092 \nL 209.257106 104.644922 \nL 203.050594 106.28157 \nL 195.975847 108.939538 \nL 188.339943 112.364017 \nL 180.46398 116.247425 \nL 158.079928 127.791679 \nL 151.616717 130.957787 \nL 145.783084 133.646557 \nL 140.582186 135.867495 \nL 135.98687 137.665006 \nL 128.423077 140.242541 \nL 122.657141 141.886529 \nL 108.968186 145.485097 \nL 104.695286 146.69683 \nL 102.315703 147.080523 \nL 100.731214 147.128833 \nL 99.144587 146.977607 \nL 97.573068 146.60335 \nL 96.049819 145.989904 \nL 94.621735 145.131328 \nL 93.346493 144.035175 \nL 92.288358 142.725696 \nL 91.512489 141.24626 \nL 91.077832 139.660008 \nL 91.029242 138.047816 \nL 91.390013 136.502888 \nL 91.723858 135.786087 \nL 92.156312 135.122193 \nL 92.682286 134.522174 \nL 93.294955 133.995891 \nL 93.985903 133.551799 \nL 95.562475 132.935634 \nL 97.322538 132.706009 \nL 99.168924 132.865184 \nL 101.006285 133.38831 \nL 102.748856 134.229776 \nL 104.325485 135.331104 \nL 105.681743 136.628539 \nL 106.779588 138.059103 \nL 107.595362 139.564558 \nL 108.116951 141.093366 \nL 108.340821 142.601038 \nL 108.269363 144.049364 \nL 107.908885 145.405021 \nL 107.268357 146.637899 \nL 106.358963 147.719454 \nL 105.194435 148.621177 \nL 103.792167 149.313448 \nL 102.175003 149.76483 \nL 100.37365 149.942103 \nL 98.429487 149.811224 \nL 96.397495 149.339624 \nL 94.348748 148.500117 \nL 92.371702 147.276599 \nL 90.571223 145.671486 \nL 89.773468 144.733702 \nL 89.064236 143.714035 \nL 88.458604 142.621591 \nL 87.971084 141.467953 \nL 87.615111 140.267191 \nL 87.402513 139.035756 \nL 87.342975 137.792223 \nL 87.443529 136.556909 \nL 87.708108 135.351317 \nL 88.137199 134.197471 \nL 88.727638 133.117155 \nL 89.472573 132.131104 \nL 90.361576 131.258184 \nL 91.380967 130.514669 \nL 92.514262 129.913613 \nL 93.742771 129.464422 \nL 95.046267 129.172595 \nL 96.403698 129.039717 \nL 97.79389 129.063627 \nL 99.196195 129.238775 \nL 100.591057 129.556725 \nL 101.960452 130.006723 \nL 103.288216 130.576331 \nL 104.560255 131.252019 \nL 106.891514 132.865446 \nL 108.88373 134.736631 \nL 110.49636 136.765379 \nL 111.712423 138.867407 \nL 112.53139 140.975606 \nL 112.962647 143.038374 \nL 113.020234 145.016509 \nL 112.719079 146.879595 \nL 112.072673 148.602448 \nL 111.092064 150.161865 \nL 109.786008 151.533727 \nL 108.16218 152.690466 \nL 106.229452 153.59886 \nL 104.001245 154.218297 \nL 101.500063 154.499705 \nL 98.76324 154.385684 \nL 97.323829 154.160629 \nL 95.84968 153.812583 \nL 94.352714 153.333447 \nL 92.847069 152.715585 \nL 91.349256 151.95225 \nL 89.87823 151.038061 \nL 88.455387 149.96961 \nL 87.104413 148.746096 \nL 85.850983 147.370041 \nL 84.72228 145.847997 \nL 83.746306 144.191218 \nL 82.950968 142.416203 \nL 82.362992 140.545052 \nL 82.006661 138.605514 \nL 81.902469 136.630686 \nL 82.065787 134.658254 \nL 82.505645 132.729306 \nL 83.223763 130.886699 \nL 84.213977 129.173099 \nL 85.462103 127.628834 \nL 86.946338 126.289747 \nL 88.638167 125.185292 \nL 90.503682 124.337038 \nL 92.505246 123.75776 \nL 94.603293 123.451166 \nL 96.758134 123.412334 \nL 98.931585 123.628668 \nL 101.088332 124.08129 \nL 103.196938 124.74668 \nL 105.230494 125.598389 \nL 107.166893 126.608617 \nL 108.988828 127.749606 \nL 110.683537 128.994751 \nL 112.242381 130.319394 \nL 113.660321 131.701343 \nL 114.935351 133.121125 \nL 116.067925 134.562049 \nL 117.916575 137.453787 \nL 119.239549 140.292825 \nL 120.080096 143.026605 \nL 120.482128 145.624916 \nL 120.484271 148.072116 \nL 120.116509 150.36097 \nL 119.398671 152.487907 \nL 118.340204 154.449355 \nL 116.940814 156.238727 \nL 115.191794 157.843682 \nL 113.078045 159.243356 \nL 110.580959 160.40529 \nL 107.682606 161.281986 \nL 106.078979 161.593485 \nL 104.371797 161.807135 \nL 102.562139 161.91111 \nL 100.652775 161.892024 \nL 98.648636 161.734894 \nL 96.55735 161.423224 \nL 94.389829 160.939151 \nL 92.160913 160.263763 \nL 89.890021 159.377593 \nL 87.60179 158.261355 \nL 85.326622 156.89694 \nL 83.101089 155.268764 \nL 80.968055 153.365414 \nL 78.976414 151.18163 \nL 77.180319 148.720526 \nL 75.63775 145.995887 \nL 74.408363 143.034339 \nL 73.550565 139.877042 \nL 73.117921 136.580537 \nL 73.155114 133.216332 \nL 73.693818 129.868873 \nL 74.748983 126.631782 \nL 76.316119 123.602403 \nL 78.370058 120.875152 \nL 80.865573 118.534362 \nL 83.739916 116.64767 \nL 86.917023 115.260889 \nL 90.31283 114.395115 \nL 93.841016 114.046536 \nL 97.418388 114.188759 \nL 100.969313 114.777126 \nL 104.428837 115.754236 \nL 107.744394 117.055717 \nL 110.876212 118.615546 \nL 113.796707 120.370312 \nL 116.489208 122.262302 \nL 118.946285 124.241277 \nL 121.167979 126.265226 \nL 123.16009 128.3003 \nL 124.932621 130.320179 \nL 126.498462 132.305176 \nL 129.06971 136.118664 \nL 130.998425 139.677053 \nL 132.406183 142.962271 \nL 133.401293 145.981772 \nL 134.074506 148.755608 \nL 134.498299 151.308797 \nL 134.783492 154.780788 \nL 134.755553 157.893607 \nL 134.483179 160.714453 \nL 133.991474 163.297882 \nL 133.271805 165.68798 \nL 132.286907 167.920759 \nL 131.452044 169.336679 \nL 130.44441 170.703023 \nL 129.230696 172.025316 \nL 127.769934 173.306814 \nL 126.012342 174.547318 \nL 123.898091 175.741236 \nL 121.356174 176.874499 \nL 118.303768 177.919803 \nL 114.646786 178.829409 \nL 110.282891 179.524523 \nL 107.803353 179.754909 \nL 105.10917 179.880138 \nL 102.189995 179.874002 \nL 99.038149 179.70457 \nL 95.649996 179.333338 \nL 92.027718 178.714445 \nL 88.181568 177.794065 \nL 84.132644 176.510182 \nL 79.916183 174.79304 \nL 75.585316 172.566636 \nL 71.215053 169.751752 \nL 66.906094 166.271153 \nL 62.787741 162.057447 \nL 59.018903 157.064056 \nL 55.785786 151.279207 \nL 53.294784 144.742004 \nL 51.759216 137.558347 \nL 51.379486 129.912969 \nL 52.317786 122.072667 \nL 54.670853 114.375613 \nL 58.446421 107.20368 \nL 63.550181 100.939027 \nL 69.788778 95.911932 \nL 76.890424 92.351821 \nL 84.539336 90.354572 \nL 92.415776 89.875098 \nL 100.231946 90.746405 \nL 107.756435 92.717945 \nL 114.824462 95.501419 \nL 121.335682 98.812308 \nL 127.243999 102.399676 \nL 132.544117 106.061953 \nL 137.258412 109.650639 \nL 141.426072 113.065797 \nL 148.316596 119.165639 \nL 155.795576 126.316898 \nL 163.476955 133.792422 \nL 165.609072 135.640095 \nL 167.461041 137.001616 \nL 169.14543 137.953645 \nL 170.741139 138.553431 \nL 172.299018 138.844066 \nL 173.846257 138.859303 \nL 175.389707 138.627839 \nL 176.918387 138.177155 \nL 178.40558 137.536918 \nL 179.810951 136.741849 \nL 181.083185 135.833822 \nL 182.163566 134.862829 \nL 182.990863 133.886397 \nL 183.507484 132.967101 \nL 183.666572 132.168183 \nL 183.439158 131.547627 \nL 182.820103 131.151687 \nL 181.831483 131.009268 \nL 180.522359 131.128628 \nL 178.964622 131.497283 \nL 177.245632 132.085287 \nL 174.56937 133.285598 \nL 172.038412 134.726826 \nL 169.890281 136.262688 \nL 168.282586 137.776271 \nL 167.55473 138.728394 \nL 167.115427 139.609683 \nL 166.966741 140.400931 \nL 167.10512 141.083752 \nL 167.523245 141.639774 \nL 168.211098 142.050281 \nL 169.15627 142.296264 \nL 170.343504 142.358882 \nL 171.753538 142.220337 \nL 173.36133 141.865255 \nL 175.133804 141.282596 \nL 177.027288 140.468233 \nL 178.985012 139.428105 \nL 180.935201 138.181805 \nL 182.790445 136.766119 \nL 184.449314 135.237711 \nL 185.801168 133.673795 \nL 186.734763 132.169407 \nL 187.150613 130.830208 \nL 187.14014 130.255639 \nL 186.97578 129.760648 \nL 186.654942 129.355643 \nL 186.1783 129.049075 \nL 185.549954 128.84704 \nL 184.777444 128.753021 \nL 182.846204 128.889132 \nL 180.504114 129.43133 \nL 177.901544 130.318243 \nL 175.199391 131.46734 \nL 172.549431 132.791025 \nL 170.079599 134.209762 \nL 167.886393 135.659529 \nL 166.033937 137.093379 \nL 164.557886 138.478838 \nL 163.471821 139.793435 \nL 162.774206 141.020131 \nL 162.454617 142.143646 \nL 162.498656 143.147989 \nL 162.891352 144.01505 \nL 163.61911 144.723934 \nL 164.670408 145.250851 \nL 166.035348 145.569298 \nL 167.704205 145.650577 \nL 169.664968 145.464734 \nL 171.899884 144.982152 \nL 174.380975 144.176092 \nL 177.064599 143.026625 \nL 179.88534 141.526222 \nL 182.749921 139.687181 \nL 185.532484 137.55044 \nL 188.07331 135.194435 \nL 190.183819 132.741298 \nL 191.014131 131.528498 \nL 191.660681 130.356319 \nL 192.099837 129.250243 \nL 192.310706 128.236219 \nL 192.276323 127.339535 \nL 191.984826 126.583536 \nL 191.430475 125.988307 \nL 190.614447 125.569425 \nL 189.545268 125.336934 \nL 188.238814 125.294613 \nL 186.71786 125.43974 \nL 185.011164 125.76333 \nL 181.177435 126.883334 \nL 177.032406 128.494002 \nL 172.868026 130.410709 \nL 168.930791 132.466832 \nL 165.398458 134.538943 \nL 162.3768 136.551997 \nL 159.910273 138.470294 \nL 157.998897 140.282921 \nL 156.615374 141.990229 \nL 155.719294 143.594359 \nL 155.267477 145.093969 \nL 155.220676 146.482104 \nL 155.547435 147.745856 \nL 156.225851 148.86673 \nL 157.24392 149.821123 \nL 158.598905 150.580516 \nL 160.295959 151.111375 \nL 162.346054 151.374804 \nL 164.763058 151.326199 \nL 167.55964 150.915281 \nL 170.741531 150.087095 \nL 174.299577 148.78479 \nL 178.198995 146.955413 \nL 182.365636 144.560125 \nL 186.669861 141.590316 \nL 188.81383 139.900979 \nL 190.910365 138.090164 \nL 192.921264 136.176112 \nL 194.803133 134.183723 \nL 196.507967 132.145103 \nL 197.984249 130.099727 \nL 199.178601 128.09406 \nL 200.038072 126.180449 \nL 200.513 124.415169 \nL 200.560359 122.855565 \nL 200.147305 121.556413 \nL 199.254628 120.56573 \nL 197.879602 119.920472 \nL 196.037814 119.64275 \nL 193.763546 119.737184 \nL 191.10847 120.189947 \nL 188.138715 120.969815 \nL 184.930531 122.031208 \nL 181.565188 123.318717 \nL 174.682062 126.333509 \nL 168.056313 129.571518 \nL 162.086734 132.71545 \nL 156.98346 135.607294 \nL 152.801236 138.215872 \nL 149.492098 140.580662 \nL 146.953698 142.764073 \nL 145.064142 144.823128 \nL 143.703391 146.798141 \nL 142.764549 148.711748 \nL 142.158541 150.572546 \nL 141.814923 152.379748 \nL 141.680651 154.127273 \nL 141.717983 155.806616 \nL 142.044675 158.177761 \nL 142.665229 160.344747 \nL 143.242882 161.661539 \nL 143.962977 162.865431 \nL 144.842848 163.945959 \nL 145.906591 164.89038 \nL 147.185346 165.682476 \nL 148.71783 166.301066 \nL 150.550989 166.718148 \nL 152.740626 166.896576 \nL 155.351725 166.787129 \nL 158.458018 166.324988 \nL 162.140013 165.425669 \nL 166.480231 163.980927 \nL 171.553617 161.855822 \nL 174.382547 160.488724 \nL 177.410175 158.889554 \nL 180.63407 157.035702 \nL 184.045717 154.904977 \nL 187.62864 152.477006 \nL 191.356205 149.735204 \nL 195.189139 146.669422 \nL 199.072874 143.27936 \nL 202.934935 139.578775 \nL 206.682667 135.60034 \nL 210.201856 131.40087 \nL 213.356871 127.06625 \nL 215.993229 122.715056 \nL 217.943476 118.499387 \nL 219.037191 114.601158 \nL 219.115421 111.222061 \nL 218.048957 108.566148 \nL 215.7585 106.815451 \nL 212.233164 106.101636 \nL 207.542675 106.47929 \nL 201.838745 107.908406 \nL 195.343013 110.252852 \nL 188.322572 113.297764 \nL 181.058145 116.782848 \nL 154.102103 130.427994 \nL 148.565394 133.048217 \nL 139.195271 137.118836 \nL 131.898916 139.912909 \nL 115.976663 145.597368 \nL 111.731854 147.576089 \nL 108.019679 149.258335 \nL 106.138061 149.909079 \nL 104.175606 150.377431 \nL 102.113591 150.618561 \nL 99.955064 150.586883 \nL 97.725036 150.237953 \nL 95.471317 149.531597 \nL 93.265189 148.436826 \nL 92.208551 147.738281 \nL 91.200746 146.938779 \nL 90.256556 146.040422 \nL 89.391555 145.047452 \nL 88.621769 143.966522 \nL 87.963237 142.80692 \nL 87.431521 141.580712 \nL 87.041129 140.30277 \nL 86.804908 138.990665 \nL 86.733432 137.664403 \nL 86.834404 136.345992 \nL 87.112149 135.058845 \nL 87.567205 133.827005 \nL 88.196086 132.674294 \nL 88.99122 131.623381 \nL 89.941092 130.694863 \nL 91.030595 129.906418 \nL 92.241563 129.272109 \nL 93.553439 128.8019 \nL 94.944043 128.501382 \nL 96.390379 128.371777 \nL 97.869435 128.410165 \nL 99.358896 128.609916 \nL 100.83776 128.961272 \nL 102.286825 129.452022 \nL 103.689029 130.068223 \nL 105.029645 130.794873 \nL 106.296357 131.616553 \nL 108.5705 133.48433 \nL 110.457509 135.557477 \nL 111.932294 137.738484 \nL 112.990617 139.949354 \nL 113.641346 142.130566 \nL 113.899997 144.237904 \nL 113.783908 146.238481 \nL 113.30906 148.106722 \nL 112.488379 149.820699 \nL 111.331304 151.358863 \nL 109.844488 152.697188 \nL 108.033541 153.80662 \nL 105.905865 154.650855 \nL 103.474677 155.184578 \nL 100.764356 155.352479 \nL 99.316815 155.279286 \nL 97.817146 155.089659 \nL 96.274711 154.774451 \nL 94.701 154.324455 \nL 93.109878 153.730727 \nL 91.51779 152.984993 \nL 89.94391 152.080172 \nL 88.410195 151.010978 \nL 86.941308 149.774641 \nL 85.564385 148.371704 \nL 84.308588 146.806843 \nL 83.20444 145.08969 \nL 82.282901 143.235554 \nL 81.574212 141.265961 \nL 81.106508 139.208887 \nL 80.904304 137.098612 \nL 80.986923 134.975074 \nL 81.367021 132.882685 \nL 82.049339 130.868623 \nL 83.029871 128.980652 \nL 84.29552 127.264693 \nL 85.824391 125.762277 \nL 87.586666 124.508207 \nL 89.54604 123.528677 \nL 91.661564 122.839989 \nL 93.889724 122.448134 \nL 96.186546 122.349074 \nL 98.509527 122.529811 \nL 100.819266 122.96994 \nL 103.080683 123.643556 \nL 105.263798 124.52125 \nL 107.344081 125.571988 \nL 109.302457 126.764767 \nL 111.125009 128.06991 \nL 112.802486 129.460013 \nL 114.329702 130.910529 \nL 115.704869 132.40007 \nL 116.928943 133.910449 \nL 118.004988 135.426551 \nL 119.73251 138.42931 \nL 120.934487 141.338354 \nL 121.662903 144.113434 \nL 121.96641 146.734436 \nL 121.885425 149.193607 \nL 121.449645 151.489744 \nL 120.677199 153.623868 \nL 119.574842 155.595986 \nL 118.138813 157.402406 \nL 116.356215 159.033225 \nL 114.206929 160.469649 \nL 111.666312 161.680896 \nL 108.709128 162.620479 \nL 107.067657 162.968528 \nL 105.315377 163.221918 \nL 103.452017 163.368469 \nL 101.478919 163.394219 \nL 99.39952 163.283337 \nL 97.219939 163.018138 \nL 94.949624 162.579158 \nL 92.602077 161.945407 \nL 90.195623 161.094778 \nL 87.754193 160.004738 \nL 85.308069 158.653307 \nL 82.894485 157.020421 \nL 80.557991 155.089693 \nL 78.350443 152.850593 \nL 76.330417 150.301009 \nL 74.56193 147.450005 \nL 73.11228 144.320612 \nL 72.048955 140.952216 \nL 71.435621 137.402135 \nL 71.327426 133.745831 \nL 71.765974 130.075249 \nL 72.7746 126.495022 \nL 74.354609 123.116467 \nL 76.483204 120.049811 \nL 79.113641 117.395511 \nL 82.177776 115.235867 \nL 85.590819 113.628242 \nL 89.257633 112.600979 \nL 93.079696 112.15261 \nL 96.961717 112.254351 \nL 100.817132 112.855258 \nL 104.571945 113.88892 \nL 108.166798 115.28061 \nL 111.557409 116.953802 \nL 114.713769 118.835441 \nL 117.618491 120.859577 \nL 120.264756 122.969475 \nL 122.654155 125.118336 \nL 124.794633 127.26907 \nL 126.698688 129.393427 \nL 128.381844 131.470788 \nL 131.155605 135.43238 \nL 133.26044 139.093471 \nL 134.835455 142.442365 \nL 136.003945 145.493049 \nL 136.86952 148.27104 \nL 137.778467 151.990136 \nL 138.731058 157.215122 \nL 139.777613 162.992226 \nL 140.525097 165.65627 \nL 141.255554 167.381449 \nL 142.198986 168.87333 \nL 142.983143 169.732331 \nL 143.923325 170.47424 \nL 145.052961 171.087291 \nL 146.412231 171.554638 \nL 148.049374 171.852821 \nL 150.022033 171.949644 \nL 152.398493 171.80135 \nL 155.258517 171.348895 \nL 158.693208 170.513245 \nL 162.802875 169.189769 \nL 167.691162 167.242344 \nL 173.452532 164.49883 \nL 176.682153 162.764856 \nL 180.148689 160.751768 \nL 183.848048 158.430277 \nL 187.767698 155.771856 \nL 191.883934 152.750855 \nL 196.158699 149.347531 \nL 200.535974 145.552146 \nL 204.937975 141.370278 \nL 209.261502 136.829312 \nL 213.375041 131.985871 \nL 217.117547 126.933504 \nL 220.300084 121.809297 \nL 222.711847 116.797436 \nL 224.131964 112.12691 \nL 224.348135 108.060286 \nL 223.181806 104.871121 \nL 220.517473 102.809536 \nL 216.331055 102.059773 \nL 210.709732 102.698357 \nL 203.855427 104.665463 \nL 196.066987 107.761871 \nL 187.702593 111.677039 \nL 179.131153 116.042783 \nL 162.630317 124.73591 \nL 155.146087 128.549225 \nL 148.33431 131.82211 \nL 142.230791 134.523241 \nL 136.824262 136.680842 \nL 132.073737 138.358231 \nL 127.922298 139.633706 \nL 124.306739 140.58666 \nL 118.432935 141.803688 \nL 113.993477 142.455101 \nL 108.006073 143.040332 \nL 102.282147 143.396152 \nL 100.165451 143.312618 \nL 98.843828 143.048747 \nL 97.712431 142.588829 \nL 96.788938 141.938443 \nL 96.115316 141.131574 \nL 95.738526 140.230026 \nL 95.693217 139.318204 \nL 95.852673 138.752253 \nL 96.157952 138.253455 \nL 96.595828 137.847991 \nL 97.146248 137.557499 \nL 97.783421 137.39748 \nL 98.835695 137.418321 \nL 99.906883 137.746871 \nL 100.891477 138.346724 \nL 101.698269 139.156553 \nL 102.257359 140.100419 \nL 102.522786 141.096945 \nL 102.472162 142.065852 \nL 102.261741 142.658957 \nL 101.915142 143.185432 \nL 101.441189 143.62607 \nL 100.852598 143.963312 \nL 100.16607 144.181549 \nL 98.999263 144.257522 \nL 97.747512 144.005206 \nL 96.918127 143.64882 \nL 96.134143 143.146058 \nL 95.433062 142.508333 \nL 94.852314 141.755016 \nL 94.426898 140.913796 \nL 94.186665 140.020303 \nL 94.153468 139.116744 \nL 94.338617 138.249498 \nL 94.741049 137.465828 \nL 95.346568 136.81005 \nL 96.128466 136.31967 \nL 97.049421 136.022185 \nL 98.06448 135.932991 \nL 99.124612 136.05471 \nL 100.180366 136.377973 \nL 101.185053 136.883283 \nL 102.097206 137.543576 \nL 102.88209 138.326941 \nL 103.512392 139.199139 \nL 103.968152 140.125573 \nL 104.236258 141.072688 \nL 104.309688 142.00875 \nL 104.186728 142.904159 \nL 103.870334 143.731406 \nL 103.367722 144.464847 \nL 102.690254 145.080418 \nL 101.853626 145.555463 \nL 100.87832 145.868754 \nL 99.790221 146.00087 \nL 98.621307 145.934979 \nL 97.41018 145.658151 \nL 96.202237 145.163158 \nL 95.049154 144.450746 \nL 94.007473 143.532132 \nL 93.135934 142.431379 \nL 92.491596 141.187026 \nL 92.12485 139.852411 \nL 92.073859 138.49395 \nL 92.359274 137.187094 \nL 92.980267 136.01006 \nL 93.912883 135.036148 \nL 95.111299 134.325953 \nL 96.511943 133.921064 \nL 98.03977 133.840465 \nL 99.615494 134.080317 \nL 101.162439 134.616761 \nL 102.611981 135.410819 \nL 103.907007 136.414141 \nL 105.003332 137.574395 \nL 105.869452 138.839549 \nL 106.485133 140.160719 \nL 106.83945 141.493628 \nL 106.928716 142.798911 \nL 106.75468 144.041648 \nL 106.323187 145.190409 \nL 105.643436 146.216106 \nL 104.727865 147.090872 \nL 103.592657 147.787115 \nL 102.258834 148.276952 \nL 100.753821 148.532135 \nL 99.113358 148.524723 \nL 97.383503 148.228658 \nL 95.622334 147.622519 \nL 93.900863 146.693478 \nL 92.302407 145.442418 \nL 90.919725 143.889706 \nL 89.849288 142.08063 \nL 89.460226 141.101859 \nL 89.182535 140.088928 \nL 89.025021 139.05547 \nL 88.994726 138.016577 \nL 89.096584 136.988493 \nL 89.333109 135.98818 \nL 89.704185 135.03286 \nL 90.206936 134.139443 \nL 90.835713 133.323969 \nL 91.582196 132.60105 \nL 92.435618 131.983364 \nL 93.383092 131.481215 \nL 94.410018 131.102232 \nL 95.500552 130.851189 \nL 96.638122 130.729956 \nL 97.805909 130.737605 \nL 98.987339 130.870624 \nL 100.16649 131.123236 \nL 102.459557 131.955105 \nL 104.582111 133.156839 \nL 106.455659 134.641677 \nL 108.026433 136.323229 \nL 109.262463 138.122717 \nL 110.148981 139.972561 \nL 110.683424 141.817098 \nL 110.870909 143.611374 \nL 110.720619 145.318905 \nL 110.243298 146.909055 \nL 109.449877 148.354351 \nL 108.351156 149.628014 \nL 106.958505 150.701775 \nL 105.285496 151.54406 \nL 103.35051 152.118669 \nL 101.18023 152.384217 \nL 98.813969 152.294634 \nL 96.308546 151.801355 \nL 95.02741 151.388511 \nL 93.743167 150.857803 \nL 92.469851 150.204949 \nL 91.223239 149.426921 \nL 90.020805 148.522355 \nL 88.881556 147.492007 \nL 87.82579 146.339227 \nL 86.874698 145.070413 \nL 86.049848 143.695431 \nL 85.372536 142.227932 \nL 84.863019 140.685542 \nL 84.539645 139.089836 \nL 84.417948 137.46609 \nL 84.509743 135.842753 \nL 84.822318 134.250644 \nL 85.357766 132.721878 \nL 86.112566 131.288595 \nL 87.077441 129.981546 \nL 88.237533 128.828678 \nL 89.572916 127.853838 \nL 91.059389 127.075664 \nL 92.669509 126.506864 \nL 94.373764 126.153831 \nL 96.141787 126.016718 \nL 97.943527 126.089864 \nL 99.750296 126.362523 \nL 101.535615 126.819863 \nL 103.27584 127.44403 \nL 104.950565 128.215261 \nL 106.542787 129.112887 \nL 108.038905 130.116244 \nL 109.428555 131.205375 \nL 110.704335 132.361578 \nL 111.861467 133.567761 \nL 113.811489 136.070809 \nL 115.278315 138.614573 \nL 116.279845 141.126707 \nL 116.842674 143.557515 \nL 116.995061 145.874026 \nL 116.762256 148.054383 \nL 116.163807 150.082944 \nL 115.2124 151.94625 \nL 113.913935 153.629587 \nL 112.268594 155.113965 \nL 110.272879 156.37329 \nL 107.922716 157.371638 \nL 105.217894 158.060584 \nL 103.734939 158.269907 \nL 102.16818 158.376933 \nL 100.521738 158.371245 \nL 98.801507 158.241447 \nL 97.015531 157.97528 \nL 95.174399 157.559808 \nL 93.29167 156.981713 \nL 91.38427 156.227718 \nL 89.47285 155.28517 \nL 87.582079 154.142781 \nL 85.740794 152.791574 \nL 83.981948 151.22599 \nL 82.342312 149.445155 \nL 80.861836 147.454252 \nL 79.582615 145.265884 \nL 78.547437 142.901294 \nL 77.797893 140.391266 \nL 77.372135 137.776517 \nL 77.302384 135.107342 \nL 77.61241 132.442378 \nL 78.315236 129.84639 \nL 79.411358 127.387137 \nL 80.887762 125.131532 \nL 82.717928 123.141435 \nL 84.862941 121.469549 \nL 87.273584 120.155977 \nL 89.893253 119.225819 \nL 92.661324 118.688183 \nL 95.516587 118.536612 \nL 98.4004 118.750821 \nL 101.259261 119.299409 \nL 104.046636 120.143146 \nL 106.724005 121.238301 \nL 109.261204 122.539768 \nL 111.636153 124.003597 \nL 113.834196 125.58894 \nL 115.847145 127.259265 \nL 117.672239 128.983001 \nL 119.311061 130.733706 \nL 120.768529 132.489867 \nL 122.05199 134.234478 \nL 123.17043 135.954504 \nL 124.952596 139.285024 \nL 126.197805 142.43485 \nL 126.984814 145.386913 \nL 127.381542 148.141759 \nL 127.441898 150.709402 \nL 127.204894 153.104011 \nL 126.695019 155.340552 \nL 125.923205 157.432656 \nL 124.887954 159.39111 \nL 123.576406 161.222637 \nL 121.965289 162.928587 \nL 120.021814 164.503213 \nL 117.704718 165.931298 \nL 114.965853 167.184764 \nL 111.752897 168.217941 \nL 109.952256 168.631315 \nL 108.014133 168.961231 \nL 105.9335 169.19393 \nL 103.706665 169.313087 \nL 101.331859 169.29951 \nL 98.809957 169.13088 \nL 96.145355 168.781556 \nL 93.347024 168.222509 \nL 90.429728 167.421447 \nL 87.415407 166.343244 \nL 84.334656 164.950799 \nL 81.228229 163.206453 \nL 78.148417 161.074123 \nL 75.160072 158.522304 \nL 72.340993 155.528022 \nL 69.78128 152.081658 \nL 67.581267 148.19251 \nL 65.84765 143.894488 \nL 64.687537 139.251213 \nL 64.200521 134.359303 \nL 64.469234 129.348592 \nL 65.549421 124.37796 \nL 67.461054 119.626173 \nL 70.182279 115.27788 \nL 73.647802 111.50632 \nL 77.752575 108.455427 \nL 82.360654 106.224631 \nL 87.317753 104.859402 \nL 92.465332 104.349418 \nL 97.653715 104.634363 \nL 102.752252 105.615586 \nL 107.655534 107.170888 \nL 112.285582 109.169351 \nL 116.590772 111.483862 \nL 120.542617 114.000041 \nL 124.131502 116.621294 \nL 127.362236 119.270522 \nL 130.249985 121.889433 \nL 132.816842 124.436339 \nL 135.089118 126.883312 \nL 138.864504 131.417134 \nL 141.806099 135.438108 \nL 145.117718 140.547912 \nL 149.109674 146.974753 \nL 150.543547 148.933646 \nL 152.025877 150.584019 \nL 153.630059 151.938174 \nL 155.419849 152.997067 \nL 157.452527 153.750145 \nL 159.780844 154.175093 \nL 162.453497 154.237546 \nL 165.513735 153.890981 \nL 168.995565 153.077343 \nL 172.916763 151.729309 \nL 177.267773 149.775659 \nL 179.590162 148.550864 \nL 181.995678 147.151868 \nL 184.467463 145.574679 \nL 186.983088 143.818576 \nL 189.513761 141.887277 \nL 192.023641 139.790259 \nL 194.469297 137.544158 \nL 196.799522 135.174187 \nL 198.955592 132.715383 \nL 200.872186 130.213472 \nL 202.479123 127.72508 \nL 203.704068 125.316966 \nL 204.476295 123.063976 \nL 204.731361 121.045489 \nL 204.416505 119.340333 \nL 203.496221 118.02042 \nL 201.957324 117.143724 \nL 199.81265 116.747587 \nL 197.102568 116.843534 \nL 193.893744 117.41478 \nL 190.275011 118.417181 \nL 186.350759 119.783821 \nL 182.232802 121.432461 \nL 173.850586 125.224214 \nL 165.881806 129.157525 \nL 155.704837 134.477929 \nL 150.344004 137.466385 \nL 146.077001 140.067921 \nL 142.760712 142.393229 \nL 140.22221 144.54512 \nL 138.290862 146.598057 \nL 136.813946 148.596627 \nL 135.662214 150.562049 \nL 134.318808 153.45857 \nL 130.896822 161.626032 \nL 129.429985 164.119901 \nL 128.248539 165.711713 \nL 126.856739 167.244602 \nL 125.208686 168.714582 \nL 123.252177 170.113793 \nL 120.927543 171.427772 \nL 118.167086 172.631561 \nL 114.895626 173.684164 \nL 111.033012 174.520708 \nL 108.854991 174.828579 \nL 106.500141 175.0417 \nL 103.960672 175.139925 \nL 101.230824 175.099037 \nL 98.30782 174.8902 \nL 95.193076 174.479461 \nL 91.893714 173.827368 \nL 88.4244 172.888835 \nL 84.809504 171.613403 \nL 81.085553 169.94612 \nL 77.303865 167.829303 \nL 73.533134 165.205548 \nL 69.861605 162.022248 \nL 66.398325 158.237949 \nL 63.272704 153.830579 \nL 60.631562 148.807276 \nL 58.632802 143.214885 \nL 57.435107 137.149527 \nL 57.183723 130.762783 \nL 57.993342 124.261601 \nL 59.93048 117.899245 \nL 62.998711 111.955977 \nL 67.130675 106.710648 \nL 72.189834 102.407421 \nL 77.982949 99.224423 \nL 84.281237 97.251577 \nL 90.845885 96.483081 \nL 97.452386 96.825783 \nL 103.90917 98.120498 \nL 110.068054 100.169926 \nL 115.826632 102.766565 \nL 121.124526 105.715271 \nL 125.936069 108.847937 \nL 130.261872 112.030281 \nL 134.120875 115.16241 \nL 137.543723 118.175292 \nL 143.233245 123.688295 \nL 147.65166 128.422678 \nL 152.564741 134.114737 \nL 157.226585 139.503215 \nL 159.174685 141.432033 \nL 161.050081 142.927009 \nL 162.950993 144.023937 \nL 164.950879 144.743565 \nL 167.102046 145.09413 \nL 169.437554 145.074231 \nL 171.971294 144.676179 \nL 174.696176 143.890288 \nL 177.580638 142.710472 \nL 180.563906 141.141532 \nL 183.550984 139.208239 \nL 186.409041 136.965637 \nL 188.967728 134.50887 \nL 190.072971 133.242519 \nL 191.026714 131.979273 \nL 191.802154 130.743655 \nL 192.373483 129.562089 \nL 192.717079 128.462045 \nL 192.812773 127.470932 \nL 192.645161 126.614811 \nL 192.204798 125.916951 \nL 191.489212 125.396431 \nL 190.503586 125.066886 \nL 189.261 124.935513 \nL 187.782191 125.002587 \nL 186.094785 125.26143 \nL 184.232094 125.698972 \nL 180.132722 127.032676 \nL 175.799803 128.819558 \nL 171.530636 130.864567 \nL 167.563619 133.003295 \nL 164.060299 135.122441 \nL 161.107733 137.159396 \nL 158.733231 139.089193 \nL 156.923276 140.90826 \nL 155.641114 142.62097 \nL 154.84055 144.231024 \nL 154.475507 145.737194 \nL 154.505942 147.131952 \nL 154.901023 148.401628 \nL 155.64039 149.526988 \nL 156.714158 150.483772 \nL 158.122078 151.242812 \nL 159.872052 151.769823 \nL 161.978011 152.024887 \nL 164.456964 151.961959 \nL 167.32485 151.52873 \nL 170.590686 150.667453 \nL 174.248312 149.317658 \nL 178.265141 147.422029 \nL 182.567526 144.937014 \nL 184.787299 143.467694 \nL 187.023332 141.849905 \nL 189.247017 140.090878 \nL 191.424059 138.20315 \nL 193.514329 136.205551 \nL 195.47202 134.124084 \nL 197.24624 131.992567 \nL 198.782159 129.852867 \nL 200.02278 127.754526 \nL 200.911406 125.753594 \nL 201.394775 123.910497 \nL 201.426728 122.286918 \nL 200.97214 120.941758 \nL 200.010707 119.926444 \nL 198.54012 119.280174 \nL 196.578038 119.0257 \nL 194.162441 119.166439 \nL 191.350104 119.685514 \nL 188.213188 120.547122 \nL 184.834364 121.700062 \nL 181.301071 123.082979 \nL 174.110553 126.278842 \nL 167.236772 129.66071 \nL 161.085995 132.901103 \nL 155.860491 135.848443 \nL 151.599845 138.485134 \nL 148.239837 140.86401 \nL 145.663933 143.057213 \nL 143.739047 145.127605 \nL 142.336718 147.118449 \nL 141.343729 149.05366 \nL 140.666088 150.942375 \nL 140.2292 152.784264 \nL 139.904913 155.446909 \nL 139.866541 157.96703 \nL 140.040208 160.321425 \nL 140.393604 162.492001 \nL 140.925164 164.464784 \nL 141.657992 166.226855 \nL 142.279981 167.276928 \nL 143.030548 168.220069 \nL 143.934134 169.047626 \nL 145.021035 169.747759 \nL 146.328316 170.304261 \nL 147.900875 170.695025 \nL 149.792622 170.890046 \nL 152.067591 170.848769 \nL 154.800742 170.516661 \nL 158.077942 169.820897 \nL 161.994242 168.665182 \nL 166.648917 166.924225 \nL 172.134784 164.439207 \nL 175.21194 162.858605 \nL 178.517908 161.017393 \nL 182.050981 158.887802 \nL 185.802219 156.442271 \nL 189.753067 153.655189 \nL 193.872501 150.505405 \nL 198.113798 146.979675 \nL 202.411018 143.077181 \nL 206.675492 138.815165 \nL 210.792778 134.235558 \nL 214.620807 129.412119 \nL 217.990211 124.457136 \nL 220.708114 119.526124 \nL 222.566754 114.818298 \nL 223.358045 110.570051 \nL 222.894467 107.038781 \nL 221.034976 104.475871 \nL 217.71247 103.090216 \nL 212.956789 103.008121 \nL 206.906013 104.239609 \nL 199.799917 106.662983 \nL 191.953803 110.036229 \nL 183.717537 114.03554 \nL 152.78918 129.968521 \nL 146.455747 132.930304 \nL 140.802024 135.36222 \nL 135.805221 137.305609 \nL 131.419701 138.826596 \nL 127.588281 139.999763 \nL 121.344471 141.583945 \nL 116.610723 142.527184 \nL 104.505188 144.507227 \nL 101.781023 144.796541 \nL 99.954136 144.740026 \nL 98.256063 144.38511 \nL 97.207859 143.966479 \nL 96.250787 143.401059 \nL 95.413382 142.697404 \nL 94.727721 141.873598 \nL 94.225893 140.957623 \nL 93.936261 139.986857 \nL 93.879756 139.006521 \nL 94.066581 138.066904 \nL 94.493841 137.219556 \nL 95.144524 136.512863 \nL 95.98806 135.987613 \nL 96.982455 135.673348 \nL 98.07765 135.586026 \nL 99.219556 135.727388 \nL 100.354116 136.085969 \nL 101.430828 136.639364 \nL 102.405357 137.357231 \nL 103.241069 138.204403 \nL 103.909595 139.143663 \nL 104.3906 140.137913 \nL 104.671059 141.151582 \nL 104.744311 142.151392 \nL 104.609115 143.106554 \nL 104.268902 143.988596 \nL 103.731317 144.771008 \nL 103.0081 145.428829 \nL 102.115331 145.938356 \nL 101.073985 146.277112 \nL 99.910705 146.424145 \nL 98.65867 146.360858 \nL 97.358333 146.072398 \nL 96.057778 145.54965 \nL 94.812374 144.791822 \nL 93.683331 143.809333 \nL 92.734939 142.626669 \nL 92.030281 141.28448 \nL 91.625631 139.840231 \nL 91.564071 138.366485 \nL 91.869353 136.946482 \nL 92.541207 135.667012 \nL 93.55334 134.609553 \nL 94.854863 133.841234 \nL 96.375068 133.407521 \nL 98.030746 133.328202 \nL 99.734521 133.597304 \nL 101.40267 134.186629 \nL 102.961171 135.051644 \nL 104.349366 136.13818 \nL 105.521269 137.388593 \nL 106.44495 138.746506 \nL 107.100704 140.15982 \nL 107.47864 141.58209 \nL 107.576253 142.972656 \nL 107.39633 144.295916 \nL 106.945441 145.520101 \nL 106.233096 146.615896 \nL 105.271636 147.55507 \nL 104.076796 148.309348 \nL 102.668938 148.849625 \nL 101.074847 149.14576 \nL 99.32996 149.1671 \nL 97.480773 148.88404 \nL 95.587064 148.270862 \nL 93.723296 147.31002 \nL 91.97849 145.99789 \nL 90.453601 144.351518 \nL 89.807055 143.415641 \nL 89.255595 142.415299 \nL 88.81196 141.361119 \nL 88.487882 140.265836 \nL 88.293652 139.144191 \nL 88.237654 138.012697 \nL 88.325959 136.889296 \nL 88.561951 135.792908 \nL 88.94604 134.74286 \nL 89.475505 133.758269 \nL 90.144442 132.857347 \nL 90.943872 132.056754 \nL 91.861987 131.370973 \nL 92.884518 130.811799 \nL 93.995221 130.387951 \nL 95.176422 130.104856 \nL 96.409616 129.96459 \nL 97.676048 129.966006 \nL 98.957272 130.104984 \nL 100.235635 130.374822 \nL 101.49469 130.766693 \nL 103.896793 131.873614 \nL 106.06508 133.331603 \nL 107.929925 135.042696 \nL 109.448323 136.915427 \nL 110.598977 138.870629 \nL 111.37641 140.843335 \nL 111.785332 142.781973 \nL 111.835938 144.646021 \nL 111.540457 146.403035 \nL 110.910964 148.025548 \nL 109.958413 149.48815 \nL 108.692762 150.764866 \nL 107.124135 151.826869 \nL 105.264996 152.64057 \nL 103.133329 153.166269 \nL 100.756857 153.357577 \nL 98.178207 153.162152 \nL 95.460741 152.524367 \nL 94.07686 152.022614 \nL 92.694327 151.3909 \nL 91.329251 150.624441 \nL 89.999792 149.719981 \nL 88.726062 148.676322 \nL 87.529926 147.494861 \nL 86.434651 146.180183 \nL 85.464405 144.740602 \nL 84.643576 143.188642 \nL 83.995953 141.54138 \nL 83.543746 139.820605 \nL 83.30652 138.052685 \nL 83.300098 136.268145 \nL 83.535509 134.500879 \nL 84.018084 132.787027 \nL 84.746795 131.16353 \nL 85.713913 129.666498 \nL 86.905057 128.329454 \nL 88.299644 127.181688 \nL 89.871728 126.246783 \nL 91.591148 125.541575 \nL 93.424909 125.075528 \nL 95.338648 124.850634 \nL 97.298069 124.861851 \nL 99.270247 125.097907 \nL 101.224701 125.542447 \nL 103.134198 126.17535 \nL 104.975268 126.97407 \nL 106.728441 127.914907 \nL 108.378247 128.974117 \nL 109.91303 130.128799 \nL 111.324621 131.357566 \nL 112.60792 132.640974 \nL 113.760447 133.961767 \nL 115.673528 136.657753 \nL 117.079038 139.351284 \nL 118.00695 141.978101 \nL 118.492374 144.497 \nL 118.568869 146.882821 \nL 118.26429 149.120421 \nL 117.598611 151.199741 \nL 116.583203 153.111839 \nL 115.221201 154.845591 \nL 113.508742 156.38476 \nL 111.437063 157.705142 \nL 108.995625 158.77163 \nL 106.176559 159.535167 \nL 104.625189 159.783446 \nL 102.98096 159.929783 \nL 101.246829 159.962914 \nL 99.42755 159.87032 \nL 97.530104 159.638304 \nL 95.564166 159.252125 \nL 93.542608 158.696254 \nL 91.482011 157.954788 \nL 89.403157 157.012013 \nL 87.331453 155.853187 \nL 85.297245 154.465554 \nL 83.335934 152.839608 \nL 81.487794 150.97057 \nL 79.797446 148.860062 \nL 78.312843 146.517854 \nL 77.083721 143.963536 \nL 76.159509 141.22791 \nL 75.586689 138.353823 \nL 75.405779 135.396165 \nL 75.648156 132.420771 \nL 76.333025 129.502075 \nL 77.464942 126.719502 \nL 79.032274 124.152783 \nL 81.006903 121.876683 \nL 83.345342 119.955693 \nL 85.991188 118.439408 \nL 88.878696 117.359266 \nL 91.936998 116.727038 \nL 95.094446 116.535261 \nL 98.282595 116.759393 \nL 101.439424 117.361321 \nL 104.51158 118.293538 \nL 107.455585 119.503468 \nL 110.238123 120.93736 \nL 112.8356 122.543468 \nL 115.233186 124.27435 \nL 117.423576 126.088232 \nL 119.405638 127.949668 \nL 121.183082 129.829552 \nL 122.763241 131.704749 \nL 124.156001 133.557465 \nL 126.426379 137.146462 \nL 128.094074 140.532634 \nL 129.257915 143.692236 \nL 130.006192 146.625369 \nL 130.412177 149.344953 \nL 130.532785 151.869795 \nL 130.409033 154.220477 \nL 130.06733 156.416993 \nL 129.521016 158.477462 \nL 128.771792 160.417462 \nL 127.810853 162.249541 \nL 126.619659 163.982786 \nL 125.170365 165.622163 \nL 123.425988 167.16742 \nL 121.340486 168.61135 \nL 118.858995 169.937072 \nL 115.918677 171.11396 \nL 112.450879 172.091777 \nL 110.497188 172.483004 \nL 108.385737 172.792465 \nL 106.109044 173.004282 \nL 103.661001 173.099346 \nL 101.037571 173.054879 \nL 98.237684 172.843987 \nL 95.264347 172.435303 \nL 92.126008 171.792736 \nL 88.838191 170.87549 \nL 85.42538 169.638431 \nL 81.923105 168.033034 \nL 78.380155 166.009128 \nL 74.860638 163.51767 \nL 71.44566 160.514829 \nL 68.2341 156.967532 \nL 65.341913 152.860484 \nL 62.899306 148.20434 \nL 61.045103 143.044278 \nL 59.917931 137.467582 \nL 59.644281 131.608335 \nL 60.324406 125.646988 \nL 62.017806 119.802737 \nL 64.731062 114.317838 \nL 68.410933 109.434675 \nL 72.945111 105.368806 \nL 78.171515 102.283114 \nL 83.894774 100.268658 \nL 89.906764 99.336619 \nL 96.007026 99.422882 \nL 102.019313 100.403399 \nL 107.802004 102.115992 \nL 113.25198 104.383332 \nL 118.303103 107.032756 \nL 122.921167 109.910276 \nL 127.09731 112.888288 \nL 130.841288 115.867819 \nL 134.175569 118.77692 \nL 137.130556 121.566889 \nL 142.043428 126.683081 \nL 145.869334 131.120835 \nL 150.162288 136.559908 \nL 154.347146 141.885239 \nL 156.160235 143.86221 \nL 157.95287 145.440863 \nL 159.817563 146.64653 \nL 161.827178 147.490459 \nL 164.038318 147.971133 \nL 166.493016 148.075915 \nL 169.218452 147.783169 \nL 172.224463 147.065323 \nL 175.498674 145.89352 \nL 178.999217 144.244672 \nL 182.64548 142.111741 \nL 186.308143 139.517717 \nL 189.801151 136.532618 \nL 191.409759 134.932465 \nL 192.88012 133.290664 \nL 194.174367 131.635887 \nL 195.253364 130.001453 \nL 196.078186 128.424645 \nL 196.61192 126.945544 \nL 196.821766 125.605349 \nL 196.681287 124.444238 \nL 196.172621 123.498879 \nL 195.288453 122.799786 \nL 194.03343 122.368881 \nL 192.424863 122.217521 \nL 190.492476 122.34535 \nL 188.277162 122.740198 \nL 185.828846 123.379122 \nL 183.203623 124.230427 \nL 177.65831 126.417118 \nL 172.092812 128.984939 \nL 166.875022 131.661441 \nL 162.249361 134.265437 \nL 158.337978 136.710025 \nL 155.166759 138.977181 \nL 152.698654 141.085541 \nL 150.863272 143.064883 \nL 149.578642 144.941186 \nL 148.765154 146.730509 \nL 148.353417 148.438304 \nL 148.287932 150.061147 \nL 148.528187 151.589064 \nL 149.048312 153.00742 \nL 149.836059 154.298084 \nL 150.891577 155.439765 \nL 152.226191 156.407648 \nL 153.861247 157.172446 \nL 155.826967 157.698952 \nL 158.161048 157.944249 \nL 160.906669 157.855715 \nL 164.10929 157.369098 \nL 167.811391 156.407241 \nL 172.043968 154.880412 \nL 174.362588 153.874466 \nL 176.813249 152.690056 \nL 179.389622 151.3151 \nL 182.080939 149.73872 \nL 184.870949 147.952191 \nL 187.736768 145.950132 \nL 190.647692 143.732016 \nL 193.564004 141.303954 \nL 196.435972 138.680718 \nL 199.203131 135.887925 \nL 201.794133 132.964156 \nL 204.127421 129.962739 \nL 206.113021 126.95275 \nL 207.655787 124.018729 \nL 208.660249 121.258543 \nL 209.037102 118.778902 \nL 208.711067 116.688258 \nL 207.629386 115.087348 \nL 205.769869 114.058238 \nL 203.147049 113.653451 \nL 199.81494 113.887309 \nL 195.865323 114.731693 \nL 191.421244 116.117692 \nL 186.626442 117.943466 \nL 181.632493 120.086886 \nL 171.617188 124.825253 \nL 154.272002 133.552686 \nL 144.869622 138.391722 \nL 140.221728 140.950483 \nL 136.620818 143.181541 \nL 133.832677 145.22766 \nL 131.641592 147.18185 \nL 129.861973 149.094024 \nL 127.635257 151.92068 \nL 124.175364 156.478086 \nL 122.634851 158.205243 \nL 120.90497 159.849899 \nL 118.927338 161.389543 \nL 116.646278 162.796197 \nL 114.007943 164.033066 \nL 110.961199 165.050074 \nL 107.460883 165.778311 \nL 105.529683 166.005873 \nL 103.47437 166.123564 \nL 101.294657 166.11454 \nL 98.992752 165.959612 \nL 96.574073 165.63715 \nL 94.048053 165.123118 \nL 91.429082 164.391301 \nL 88.737522 163.413758 \nL 86.000774 162.161607 \nL 83.254309 160.606251 \nL 80.542559 158.721105 \nL 77.919503 156.483926 \nL 75.448729 153.879752 \nL 73.202757 150.904418 \nL 71.261329 147.568428 \nL 69.708448 143.900872 \nL 68.628067 139.952803 \nL 68.09846 135.799369 \nL 68.185595 131.53986 \nL 68.936185 127.29494 \nL 70.371348 123.20063 \nL 72.481977 119.399087 \nL 75.226852 116.027054 \nL 78.53419 113.203532 \nL 82.306657 111.018608 \nL 86.429257 109.525449 \nL 90.778822 108.736911 \nL 95.233621 108.627172 \nL 99.68166 109.137795 \nL 104.026729 110.186825 \nL 108.191788 111.678978 \nL 112.119868 113.515309 \nL 115.773032 115.601055 \nL 119.130067 117.851112 \nL 122.183553 120.193068 \nL 124.936831 122.568251 \nL 127.401178 124.93123 \nL 129.593378 127.248432 \nL 131.53373 129.496312 \nL 134.748712 133.728533 \nL 137.228675 137.570301 \nL 139.146819 141.020449 \nL 141.298019 145.519879 \nL 144.851458 153.457027 \nL 145.839819 155.187204 \nL 146.920269 156.706803 \nL 148.139814 158.019539 \nL 149.544122 159.121505 \nL 151.179878 160.000641 \nL 153.096602 160.635795 \nL 155.34782 160.995366 \nL 157.991403 161.035487 \nL 161.088643 160.697844 \nL 164.701405 159.907497 \nL 168.886196 158.571368 \nL 173.683573 156.578841 \nL 176.316178 155.298214 \nL 179.100682 153.807076 \nL 182.028364 152.090479 \nL 185.084465 150.135256 \nL 188.24672 147.931403 \nL 191.483784 145.473865 \nL 194.753581 142.76474 \nL 198.001747 139.815912 \nL 201.160344 136.652011 \nL 204.147164 133.313484 \nL 206.865986 129.85944 \nL 209.208238 126.369692 \nL 211.056527 122.945268 \nL 212.290461 119.706519 \nL 212.794909 116.787951 \nL 212.470455 114.329195 \nL 211.245213 112.462168 \nL 209.08639 111.295557 \nL 206.009502 110.89886 \nL 202.082767 111.289384 \nL 197.424944 112.425696 \nL 192.195936 114.210155 \nL 186.581391 116.500988 \nL 180.774135 119.131558 \nL 169.28395 124.751853 \nL 149.979506 134.350747 \nL 132.876934 142.618951 \nL 129.508502 144.533596 \nL 126.84812 146.312474 \nL 124.668426 148.030139 \nL 121.902114 150.54828 \nL 118.442342 153.760365 \nL 116.58561 155.251547 \nL 114.545191 156.62292 \nL 112.263684 157.834735 \nL 109.695182 158.83937 \nL 106.806003 159.578478 \nL 103.577969 159.97975 \nL 101.83691 160.026562 \nL 100.014646 159.954099 \nL 98.11659 159.748411 \nL 96.150891 159.394556 \nL 94.1289 158.876795 \nL 92.065663 158.178949 \nL 89.980393 157.284928 \nL 87.896919 156.179432 \nL 85.843999 154.848909 \nL 83.855497 153.282737 \nL 81.970272 151.474643 \nL 80.231744 149.424347 \nL 78.687002 147.139282 \nL 77.385395 144.636304 \nL 76.376571 141.943184 \nL 75.707968 139.099592 \nL 75.421883 136.157353 \nL 75.552288 133.179639 \nL 76.121733 130.238953 \nL 77.138692 127.413829 \nL 78.595744 124.784401 \nL 80.46893 122.427207 \nL 82.718504 120.409838 \nL 85.291062 118.786087 \nL 88.12286 117.592258 \nL 91.14392 116.845208 \nL 94.282383 116.542247 \nL 97.468634 116.662935 \nL 100.638753 117.172257 \nL 103.736997 118.024694 \nL 106.717293 119.168577 \nL 109.543736 120.550129 \nL 112.190309 122.11683 \nL 114.640044 123.819968 \nL 116.883829 125.616232 \nL 118.919077 127.468524 \nL 120.748376 129.346139 \nL 122.37824 131.224466 \nL 123.817989 133.084403 \nL 125.078813 134.911641 \nL 127.113244 138.430181 \nL 128.58253 141.73337 \nL 129.582376 144.807929 \nL 130.195808 147.659764 \nL 130.490054 150.30462 \nL 130.516008 152.762335 \nL 130.309086 155.053469 \nL 129.890663 157.197438 \nL 129.269605 159.211481 \nL 128.443601 161.110095 \nL 127.400167 162.904607 \nL 126.117278 164.602677 \nL 124.563695 166.207492 \nL 122.699067 167.71648 \nL 120.474036 169.119238 \nL 117.830633 170.394366 \nL 114.703509 171.50479 \nL 111.022835 172.39108 \nL 108.953234 172.723296 \nL 106.72022 172.962307 \nL 104.317264 173.089892 \nL 101.739708 173.084272 \nL 98.985607 172.919663 \nL 96.056781 172.565893 \nL 92.960111 171.988113 \nL 89.7091 171.146727 \nL 86.325693 169.997665 \nL 82.842335 168.493144 \nL 79.30414 166.583194 \nL 75.771043 164.218129 \nL 72.319605 161.352275 \nL 69.04407 157.949117 \nL 66.056127 153.987954 \nL 63.482705 149.471839 \nL 61.461122 144.436137 \nL 60.131112 138.956536 \nL 59.623667 133.154731 \nL 60.047328 127.199501 \nL 61.473569 121.301165 \nL 63.923715 115.69797 \nL 67.360393 110.634825 \nL 71.686127 106.336968 \nL 76.750452 102.983284 \nL 82.364751 100.684853 \nL 88.322138 99.473766 \nL 94.418309 99.304414 \nL 100.469399 100.066426 \nL 106.324102 101.605259 \nL 111.86921 103.745398 \nL 117.029312 106.311319 \nL 121.762483 109.143139 \nL 126.05392 112.105943 \nL 129.909145 115.093311 \nL 133.347829 118.026538 \nL 136.398707 120.851296 \nL 141.475041 126.052635 \nL 145.426738 130.579343 \nL 149.845857 136.139183 \nL 154.108718 141.594174 \nL 155.932681 143.62541 \nL 157.722451 145.253893 \nL 159.573419 146.50688 \nL 161.560777 147.397385 \nL 163.743103 147.925473 \nL 166.164277 148.079861 \nL 168.853478 147.839946 \nL 171.822991 147.178731 \nL 175.063656 146.067209 \nL 178.537877 144.481081 \nL 182.170601 142.410571 \nL 185.839329 139.873913 \nL 189.365647 136.934078 \nL 191.00347 135.349222 \nL 192.512476 133.716156 \nL 193.855332 132.06229 \nL 194.993121 130.419782 \nL 195.886724 128.824963 \nL 196.498539 127.317316 \nL 196.794517 125.937918 \nL 196.746377 124.727416 \nL 196.333863 123.723609 \nL 195.546785 122.958822 \nL 194.386611 122.457395 \nL 192.867368 122.233553 \nL 191.015643 122.290014 \nL 188.869604 122.617606 \nL 186.477066 123.196013 \nL 183.892806 123.995584 \nL 178.383897 126.109291 \nL 172.799823 128.643908 \nL 167.522321 131.31786 \nL 162.812339 133.937246 \nL 158.806671 136.404048 \nL 155.541811 138.693161 \nL 152.987084 140.820094 \nL 151.075072 142.814199 \nL 149.72442 144.702401 \nL 148.854716 146.502143 \nL 148.395014 148.220161 \nL 148.287956 149.854037 \nL 148.49112 151.394506 \nL 148.976816 152.827445 \nL 149.73113 154.135117 \nL 150.752698 155.296633 \nL 152.051485 156.287653 \nL 153.647622 157.0795 \nL 155.570262 157.637792 \nL 157.856235 157.920676 \nL 160.548144 157.876844 \nL 163.691357 157.443592 \nL 167.32905 156.54541 \nL 171.494191 155.094058 \nL 176.196932 152.991751 \nL 178.742349 151.665359 \nL 181.405752 150.140151 \nL 184.172343 148.406778 \nL 187.02099 146.458924 \nL 189.923033 144.294719 \nL 192.8411 141.918461 \nL 195.728028 139.342591 \nL 198.52607 136.58984 \nL 201.166573 133.695399 \nL 203.570432 130.708797 \nL 205.649569 127.695152 \nL 207.309803 124.73525 \nL 208.45527 121.923918 \nL 208.994532 119.366149 \nL 208.848138 117.17068 \nL 207.957029 115.441043 \nL 206.290822 114.264892 \nL 203.854563 113.702916 \nL 200.692441 113.779464 \nL 196.887261 114.477032 \nL 192.555079 115.736367 \nL 187.835537 117.462852 \nL 182.879389 119.538145 \nL 172.838776 124.230763 \nL 159.136853 131.08947 \nL 145.544259 138.04132 \nL 140.7518 140.652951 \nL 137.035064 142.916263 \nL 134.159347 144.979713 \nL 131.905858 146.942297 \nL 130.085144 148.858593 \nL 127.828692 151.689807 \nL 124.381008 156.261476 \nL 122.861676 157.998193 \nL 121.160801 159.655126 \nL 119.219546 161.21034 \nL 116.981965 162.636793 \nL 114.393943 163.899137 \nL 111.40381 164.94938 \nL 107.96523 165.721498 \nL 106.066161 165.976132 \nL 104.043273 166.125028 \nL 101.895697 166.151948 \nL 99.624892 166.03832 \nL 97.235328 165.763153 \nL 94.735265 165.303014 \nL 92.137659 164.632207 \nL 89.461166 163.723147 \nL 86.7312 162.547056 \nL 83.980993 161.075057 \nL 81.252529 159.27976 \nL 78.597246 157.137428 \nL 76.076257 154.630762 \nL 73.759892 151.752277 \nL 71.726304 148.508107 \nL 70.058854 144.921985 \nL 68.842157 141.038828 \nL 68.156778 136.92729 \nL 68.072802 132.680458 \nL 68.642878 128.413907 \nL 69.895599 124.260552 \nL 71.830279 120.362222 \nL 74.414247 116.858578 \nL 77.583424 113.874782 \nL 81.246473 111.509776 \nL 85.292024 109.827241 \nL 89.597913 108.850863 \nL 94.040925 108.564639 \nL 98.505587 108.917911 \nL 102.890896 109.833835 \nL 107.114412 111.219482 \nL 111.113791 112.975832 \nL 114.84619 115.006188 \nL 118.286215 117.22234 \nL 121.423103 119.548218 \nL 124.257657 121.921415 \nL 126.799344 124.293038 \nL 129.063742 126.626513 \nL 131.070433 128.895813 \nL 134.399401 133.178957 \nL 136.968886 137.074409 \nL 138.954462 140.575695 \nL 141.172561 145.142751 \nL 145.259766 154.102004 \nL 146.281521 155.751249 \nL 147.413918 157.191555 \nL 148.703303 158.423744 \nL 150.195619 159.440826 \nL 151.938563 160.227311 \nL 153.983165 160.758115 \nL 156.384664 160.997022 \nL 159.202405 160.894712 \nL 162.498236 160.386548 \nL 166.332581 159.390561 \nL 170.756862 157.806593 \nL 173.200771 156.758256 \nL 175.800437 155.518419 \nL 178.552661 154.071393 \nL 181.449709 152.402083 \nL 184.478075 150.496958 \nL 187.617057 148.345358 \nL 190.837213 145.941188 \nL 194.098707 143.285035 \nL 197.349745 140.386716 \nL 200.525221 137.268178 \nL 203.545893 133.96654 \nL 206.318426 130.537009 \nL 208.736744 127.055108 \nL 210.685173 123.617534 \nL 212.043768 120.340793 \nL 212.696078 117.356746 \nL 212.539178 114.804354 \nL 211.49525 112.817621 \nL 209.523298 111.510516 \nL 206.628929 110.960988 \nL 202.869842 111.197157 \nL 198.355014 112.189323 \nL 193.236736 113.850627 \nL 187.696289 116.047272 \nL 181.925829 118.616571 \nL 170.410874 124.207845 \nL 150.839171 133.956141 \nL 133.34458 142.413491 \nL 129.8967 144.35204 \nL 127.181021 146.144573 \nL 124.96652 147.870962 \nL 122.178645 150.400588 \nL 118.732142 153.634843 \nL 116.895159 155.142391 \nL 114.881039 156.534726 \nL 112.630951 157.77306 \nL 110.09746 158.811004 \nL 107.244982 159.59177 \nL 104.05275 160.044903 \nL 102.328162 160.122094 \nL 100.520675 160.08329 \nL 98.635016 159.914745 \nL 96.678544 159.601655 \nL 94.661711 159.128337 \nL 92.598552 158.478539 \nL 90.507178 157.635914 \nL 88.410238 156.584681 \nL 86.335291 155.310517 \nL 84.31503 153.801689 \nL 82.387257 152.050433 \nL 80.594559 150.054549 \nL 78.983539 147.819147 \nL 77.603542 145.358394 \nL 76.504826 142.697115 \nL 75.736173 139.871976 \nL 75.342006 136.931961 \nL 75.359222 133.937891 \nL 75.813981 130.960712 \nL 76.718862 128.078512 \nL 78.070748 125.372276 \nL 79.849832 122.920816 \nL 82.019994 120.795284 \nL 84.530611 119.05405 \nL 87.319643 117.738611 \nL 90.317625 116.871095 \nL 93.452086 116.453678 \nL 96.651823 116.469943 \nL 99.850608 116.887799 \nL 102.989971 117.663454 \nL 106.020953 118.745805 \nL 108.904839 120.080671 \nL 111.613054 121.614408 \nL 114.126419 123.296689 \nL 116.434009 125.082361 \nL 118.531818 126.932442 \nL 120.421388 128.814438 \nL 122.108511 130.702127 \nL 123.602062 132.575021 \nL 124.913007 134.417663 \nL 127.036589 137.970843 \nL 128.581289 141.309774 \nL 129.645023 144.418319 \nL 130.313518 147.30103 \nL 130.656794 149.973189 \nL 130.728421 152.454685 \nL 130.56629 154.766418 \nL 130.194056 156.92828 \nL 129.622701 158.95811 \nL 128.851938 160.871087 \nL 127.87127 162.67936 \nL 126.660686 164.391626 \nL 125.19101 166.012462 \nL 123.423994 167.541207 \nL 121.312335 168.970159 \nL 118.799876 170.281786 \nL 115.822443 171.444505 \nL 112.310054 172.406635 \nL 110.330885 172.788803 \nL 108.191676 173.087926 \nL 105.884869 173.287677 \nL 103.404347 173.368407 \nL 100.746152 173.306689 \nL 97.909411 173.074866 \nL 94.897492 172.640686 \nL 91.719419 171.96706 \nL 88.391563 171.01209 \nL 84.939585 169.729488 \nL 81.400603 168.069596 \nL 77.82544 165.981234 \nL 74.280736 163.414662 \nL 70.850604 160.325883 \nL 67.637314 156.682468 \nL 64.760427 152.470887 \nL 62.353639 147.705001 \nL 60.558696 142.434832 \nL 59.516002 136.754153 \nL 59.352088 130.804888 \nL 60.164948 124.775935 \nL 62.009294 118.894454 \nL 64.884531 113.408759 \nL 68.728533 108.564044 \nL 73.419526 104.574528 \nL 78.786696 101.597398 \nL 84.627937 99.714448 \nL 90.731175 98.925547 \nL 96.89499 99.155079 \nL 102.944789 100.269047 \nL 108.74246 102.098 \nL 114.189364 104.460463 \nL 119.224035 107.182486 \nL 123.816595 110.111027 \nL 127.961849 113.120869 \nL 131.67247 116.116114 \nL 134.97311 119.028026 \nL 137.89574 121.810892 \nL 142.751614 126.892931 \nL 146.533947 131.281583 \nL 150.788279 136.636347 \nL 154.965462 141.845 \nL 156.789485 143.763085 \nL 158.600351 145.281922 \nL 160.488597 146.426126 \nL 162.524942 147.206272 \nL 164.76349 147.620389 \nL 167.243183 147.655822 \nL 169.987255 147.291622 \nL 173.000476 146.501973 \nL 176.264084 145.261309 \nL 179.728472 143.551854 \nL 183.304271 141.374367 \nL 186.853305 138.762201 \nL 190.182353 135.797653 \nL 191.688997 134.226203 \nL 193.044351 132.627194 \nL 194.211503 131.03022 \nL 195.153006 129.468984 \nL 195.832422 127.980425 \nL 196.216159 126.603406 \nL 196.275508 125.37695 \nL 195.988763 124.338049 \nL 195.343199 123.519288 \nL 194.336715 122.946428 \nL 192.978882 122.63631 \nL 191.291219 122.595306 \nL 189.30657 122.818663 \nL 187.06759 123.290829 \nL 184.624453 123.986807 \nL 182.032027 124.874364 \nL 176.623945 127.075979 \nL 171.264653 129.6001 \nL 166.287439 132.20145 \nL 161.907301 134.72247 \nL 158.226684 137.090734 \nL 155.261542 139.293581 \nL 152.972388 141.348838 \nL 151.29117 143.282532 \nL 150.140781 145.116221 \nL 149.447494 146.862041 \nL 149.147933 148.522327 \nL 149.192289 150.091255 \nL 149.545239 151.556862 \nL 150.185576 152.902632 \nL 151.105234 154.108362 \nL 152.308087 155.150263 \nL 153.808711 156.000402 \nL 155.63112 156.625602 \nL 157.807311 156.985915 \nL 160.375341 157.032855 \nL 163.376429 156.707634 \nL 166.850373 155.939849 \nL 170.828248 154.64746 \nL 175.321086 152.739486 \nL 177.754574 151.525518 \nL 180.30303 150.123697 \nL 182.953588 148.524911 \nL 185.687734 146.722617 \nL 188.480253 144.714069 \nL 191.29812 142.501813 \nL 194.09951 140.095425 \nL 196.83299 137.513427 \nL 199.437111 134.785238 \nL 201.840613 131.952973 \nL 203.96348 129.072765 \nL 205.719165 126.215177 \nL 207.018156 123.464246 \nL 207.773027 120.914702 \nL 207.904879 118.66695 \nL 207.35075 116.81981 \nL 206.071261 115.461392 \nL 204.057364 114.65914 \nL 201.334912 114.450646 \nL 197.96583 114.837092 \nL 194.045123 115.781128 \nL 189.69378 117.210147 \nL 185.04849 119.024692 \nL 180.249885 121.110552 \nL 170.7097 125.643711 \nL 157.954047 132.073273 \nL 148.102433 137.186357 \nL 143.154761 139.911848 \nL 139.30318 142.269607 \nL 136.329866 144.405237 \nL 134.023083 146.422608 \nL 132.19519 148.38316 \nL 130.687985 150.315749 \nL 128.14031 154.11548 \nL 126.267739 156.876919 \nL 124.900142 158.652311 \nL 123.366197 160.358629 \nL 121.609731 161.979758 \nL 119.575737 163.496008 \nL 117.208757 164.881335 \nL 114.452513 166.099491 \nL 111.251266 167.098968 \nL 107.553644 167.806584 \nL 105.505585 168.020269 \nL 103.320162 168.119769 \nL 100.996389 168.086293 \nL 98.536005 167.898217 \nL 95.944301 167.530941 \nL 93.231096 166.956894 \nL 90.411865 166.145731 \nL 87.508985 165.064812 \nL 84.553051 163.680111 \nL 81.584187 161.957638 \nL 78.653181 159.865522 \nL 75.822267 157.376846 \nL 73.165255 154.47332 \nL 70.766713 151.149661 \nL 68.719838 147.418516 \nL 67.1227 143.315392 \nL 66.072716 138.902882 \nL 65.659446 134.273168 \nL 65.956191 129.5477 \nL 67.011315 124.873067 \nL 68.840644 120.41253 \nL 71.422394 116.333526 \nL 74.695993 112.792526 \nL 78.565463 109.919514 \nL 82.907189 107.804865 \nL 87.580875 106.491198 \nL 92.441821 105.971643 \nL 97.352466 106.194655 \nL 102.1915 107.073874 \nL 106.859645 108.500818 \nL 111.281979 110.3578 \nL 115.407379 112.529085 \nL 119.205994 114.909073 \nL 122.665649 117.4072 \nL 125.787975 119.949923 \nL 128.584758 122.480488 \nL 131.074793 124.957289 \nL 133.281327 127.351532 \nL 136.947797 131.826122 \nL 139.796016 135.838569 \nL 142.027335 139.391738 \nL 145.322159 145.261768 \nL 147.298762 148.742932 \nL 148.572561 150.687556 \nL 149.90265 152.356258 \nL 151.354674 153.759506 \nL 152.987318 154.897717 \nL 154.855409 155.760891 \nL 157.012058 156.328027 \nL 159.509645 156.566342 \nL 162.399362 156.430315 \nL 165.72879 155.860981 \nL 169.536724 154.786053 \nL 173.844187 153.122134 \nL 176.183593 152.041611 \nL 178.640262 150.780941 \nL 181.204466 149.330472 \nL 183.861525 147.682445 \nL 186.590816 145.832036 \nL 189.364714 143.778678 \nL 192.147584 141.527594 \nL 194.894857 139.091561 \nL 197.552417 136.492798 \nL 200.056406 133.764809 \nL 202.333738 130.95397 \nL 204.303541 128.12051 \nL 205.879789 125.338438 \nL 206.975312 122.693996 \nL 207.507204 120.282168 \nL 207.403455 118.201041 \nL 206.610283 116.544047 \nL 205.09932 115.390794 \nL 202.873497 114.79755 \nL 199.970378 114.78914 \nL 196.461932 115.353966 \nL 192.450229 116.443752 \nL 188.059417 117.978424 \nL 183.425153 119.855602 \nL 178.683255 121.962831 \nL 169.36137 126.440336 \nL 157.058473 132.671697 \nL 147.644816 137.609877 \nL 142.937833 140.26491 \nL 139.28066 142.585132 \nL 136.46013 144.705948 \nL 134.272022 146.721618 \nL 132.536657 148.686573 \nL 131.10314 150.625407 \nL 128.670222 154.436187 \nL 126.872879 157.204434 \nL 125.556329 158.985339 \nL 124.07671 160.699661 \nL 122.379338 162.333147 \nL 120.410066 163.868414 \nL 118.113568 165.282279 \nL 115.432739 166.542081 \nL 112.309641 167.600803 \nL 108.68871 168.390751 \nL 106.676372 168.656227 \nL 104.523356 168.815724 \nL 102.227143 168.851297 \nL 99.7876 168.742105 \nL 97.207772 168.464201 \nL 94.494822 167.990429 \nL 91.661154 167.290474 \nL 88.725671 166.331191 \nL 85.715161 165.077264 \nL 82.665738 163.492389 \nL 79.624192 161.541076 \nL 76.649105 159.191223 \nL 73.811441 156.417568 \nL 71.194293 153.206017 \nL 68.891426 149.558703 \nL 67.00421 145.499415 \nL 65.636694 141.078741 \nL 64.888703 136.37792 \nL 64.847328 131.510256 \nL 65.577512 126.618833 \nL 67.113053 121.869664 \nL 69.449597 117.440106 \nL 72.541267 113.503476 \nL 76.302058 110.211996 \nL 80.612292 107.680952 \nL 85.329262 105.977186 \nL 90.300237 105.114173 \nL 95.375571 105.054457 \nL 100.419788 105.718502 \nL 105.319253 106.997689 \nL 109.985986 108.768626 \nL 114.358015 110.906222 \nL 118.397196 113.293838 \nL 122.085551 115.829783 \nL 125.42107 118.430427 \nL 128.413623 121.03057 \nL 131.081382 123.582008 \nL 133.447886 126.051079 \nL 137.384986 130.663687 \nL 140.447505 134.788542 \nL 142.849324 138.425088 \nL 146.400664 144.381788 \nL 148.533669 147.868881 \nL 149.908386 149.793268 \nL 151.342874 151.423457 \nL 152.906583 152.769854 \nL 154.66078 153.831973 \nL 156.6616 154.598176 \nL 158.961953 155.045255 \nL 161.612042 155.137885 \nL 164.658148 154.828206 \nL 168.139063 154.05596 \nL 172.079395 152.750083 \nL 176.47869 150.833215 \nL 178.839609 149.621977 \nL 181.295323 148.231304 \nL 183.830601 146.655338 \nL 186.424619 144.891203 \nL 189.050077 142.940209 \nL 191.672337 140.809219 \nL 194.248743 138.512198 \nL 196.72818 136.071794 \nL 199.051107 133.52086 \nL 201.150196 130.903663 \nL 202.951823 128.276494 \nL 204.378605 125.707339 \nL 205.353078 123.274215 \nL 205.802508 121.061907 \nL 205.664662 119.156892 \nL 204.894042 117.640663 \nL 203.467851 116.58197 \nL 201.390762 116.028975 \nL 198.697514 116.00268 \nL 195.452514 116.49304 \nL 191.746115 117.458877 \nL 187.687893 118.831945 \nL 183.39781 120.524697 \nL 178.996708 122.44028 \nL 170.298722 126.566621 \nL 158.697955 132.460485 \nL 149.711927 137.288494 \nL 145.185611 139.945891 \nL 141.662668 142.294915 \nL 138.955543 144.45278 \nL 136.879404 146.50444 \nL 135.268985 148.500896 \nL 133.984327 150.466625 \nL 132.422949 153.370346 \nL 129.618389 158.952555 \nL 127.978042 161.58107 \nL 126.686318 163.258225 \nL 125.182143 164.867529 \nL 123.416421 166.400108 \nL 121.335614 167.842652 \nL 118.88072 169.174284 \nL 115.987188 170.362254 \nL 112.586362 171.356029 \nL 108.609427 172.079287 \nL 106.385236 172.306072 \nL 103.995473 172.419573 \nL 101.436131 172.398041 \nL 98.706015 172.215867 \nL 95.807776 171.843239 \nL 92.749183 171.245906 \nL 89.544641 170.38518 \nL 86.216957 169.218264 \nL 82.799276 167.699106 \nL 79.337147 165.779982 \nL 75.89049 163.413998 \nL 72.535197 160.558807 \nL 69.363964 157.181656 \nL 66.485811 153.265805 \nL 64.023687 148.818068 \nL 62.109562 143.8768 \nL 60.876567 138.519204 \nL 60.448238 132.866176 \nL 60.925521 127.082749 \nL 62.373128 121.372169 \nL 64.807562 115.962511 \nL 68.189576 111.086384 \nL 72.423349 106.956222 \nL 77.363554 103.739563 \nL 82.829476 101.53952 \nL 88.623659 100.384761 \nL 94.55132 100.231126 \nL 100.436956 100.97378 \nL 106.135668 102.466427 \nL 111.538388 104.54283 \nL 116.571758 107.036315 \nL 121.194235 109.794452 \nL 125.39024 112.687897 \nL 129.163842 115.6139 \nL 132.532945 118.495777 \nL 135.524462 121.279952 \nL 138.170572 123.931796 \nL 142.566024 128.769359 \nL 145.997022 132.958547 \nL 150.955431 139.554346 \nL 153.787653 143.188286 \nL 155.534745 145.086579 \nL 157.297682 146.606752 \nL 159.16213 147.768168 \nL 161.19676 148.576678 \nL 163.456264 149.02565 \nL 165.982644 149.09727 \nL 168.804502 148.764339 \nL 171.934013 147.993083 \nL 175.361305 146.747662 \nL 179.046122 144.997398 \nL 182.907064 142.727755 \nL 186.809601 139.955797 \nL 188.717233 138.400178 \nL 190.555676 136.749711 \nL 192.289608 135.024331 \nL 193.879966 133.249518 \nL 195.284735 131.456474 \nL 196.460135 129.681907 \nL 197.362265 127.967332 \nL 197.949175 126.357783 \nL 198.183301 124.899895 \nL 198.034118 123.639399 \nL 197.480793 122.618141 \nL 196.514547 121.870932 \nL 195.140412 121.422555 \nL 193.378069 121.285375 \nL 191.261554 121.457937 \nL 188.837758 121.924891 \nL 186.163799 122.658323 \nL 183.303586 123.620324 \nL 177.290554 126.050013 \nL 171.301623 128.849946 \nL 165.734742 131.717005 \nL 160.841971 134.461288 \nL 156.736896 137.003047 \nL 153.42864 139.338258 \nL 150.861398 141.49957 \nL 148.947529 143.527594 \nL 147.590667 145.455493 \nL 146.699793 147.303684 \nL 146.196622 149.080297 \nL 146.018645 150.783906 \nL 146.11959 152.406586 \nL 146.468559 153.936302 \nL 147.048626 155.358393 \nL 147.85537 156.656167 \nL 148.895577 157.810768 \nL 150.186229 158.800431 \nL 151.753735 159.599258 \nL 153.633306 160.175564 \nL 155.868262 160.489847 \nL 158.508924 160.492417 \nL 161.61057 160.120839 \nL 165.229645 159.297543 \nL 169.417045 157.928342 \nL 174.206811 155.903348 \nL 176.829341 154.607589 \nL 179.598064 153.102897 \nL 182.502974 151.375255 \nL 185.527914 149.412699 \nL 188.649163 147.206724 \nL 191.833902 144.754078 \nL 195.038672 142.05896 \nL 198.207943 139.135582 \nL 201.273014 136.011009 \nL 204.151551 132.728033 \nL 206.748106 129.347718 \nL 208.956075 125.951043 \nL 210.6615 122.638941 \nL 211.749062 119.529909 \nL 212.110346 116.754401 \nL 211.654048 114.445617 \nL 210.317173 112.726844 \nL 208.075708 111.696665 \nL 204.952594 111.414246 \nL 201.020964 111.887975 \nL 196.401008 113.070577 \nL 191.250193 114.862867 \nL 185.748215 117.126145 \nL 180.079429 119.700803 \nL 168.905757 125.162798 \nL 150.187854 134.488289 \nL 135.57012 141.640133 \nL 131.861234 143.695559 \nL 128.9649 145.567545 \nL 126.641415 147.353831 \nL 124.69033 149.101129 \nL 117.78891 155.696887 \nL 115.800167 157.140519 \nL 113.567901 158.436997 \nL 111.042591 159.54216 \nL 108.18489 160.401224 \nL 104.968425 160.945083 \nL 103.222313 161.072387 \nL 101.385572 161.08667 \nL 99.461705 160.97381 \nL 97.456762 160.718395 \nL 95.379836 160.303834 \nL 93.243613 159.712612 \nL 91.06493 158.926692 \nL 88.865348 157.92813 \nL 86.671636 156.699913 \nL 84.516156 155.227088 \nL 82.437032 153.498159 \nL 80.477989 151.506784 \nL 78.687778 149.253698 \nL 77.119065 146.748739 \nL 75.826685 144.01282 \nL 74.865243 141.079591 \nL 74.286075 137.996427 \nL 74.133754 134.824464 \nL 74.442387 131.637317 \nL 75.232135 128.518297 \nL 76.506379 125.556108 \nL 78.250055 122.839314 \nL 80.429474 120.450126 \nL 82.993842 118.458225 \nL 85.878355 116.915563 \nL 89.008524 115.852821 \nL 92.305169 115.27809 \nL 95.689431 115.177829 \nL 99.087212 115.519842 \nL 102.432617 116.257677 \nL 105.670185 117.335653 \nL 108.755917 118.693862 \nL 111.65727 120.272495 \nL 114.352364 122.015221 \nL 116.828703 123.871447 \nL 119.081656 125.797571 \nL 121.112873 127.757379 \nL 122.928804 129.721814 \nL 124.539369 131.66836 \nL 125.956823 133.580195 \nL 128.267716 137.255495 \nL 129.975463 140.69352 \nL 131.189596 143.879337 \nL 132.006475 146.820179 \nL 132.505672 149.534411 \nL 132.749403 152.044888 \nL 132.783627 154.37522 \nL 132.639857 156.547813 \nL 132.33712 158.58295 \nL 131.883713 160.498453 \nL 131.278597 162.309676 \nL 130.512357 164.029548 \nL 129.567729 165.668593 \nL 128.419727 167.234774 \nL 127.035419 168.733031 \nL 125.373445 170.16438 \nL 123.383388 171.524349 \nL 121.00522 172.800469 \nL 118.169145 173.968406 \nL 114.796453 174.98619 \nL 110.802399 175.78583 \nL 108.545736 176.072688 \nL 106.1028 176.261636 \nL 103.46528 176.331035 \nL 100.627053 176.25478 \nL 97.585252 176.001687 \nL 94.341598 175.53493 \nL 90.904097 174.811622 \nL 87.289088 173.782666 \nL 83.523656 172.393068 \nL 79.648391 170.582965 \nL 75.720311 168.289685 \nL 71.815724 165.451241 \nL 68.032568 162.011593 \nL 64.49161 157.928027 \nL 61.335631 153.180635 \nL 58.725585 147.783539 \nL 56.832808 141.796649 \nL 55.826649 135.335914 \nL 55.857788 128.579139 \nL 57.038704 121.763886 \nL 59.424371 115.174683 \nL 62.997347 109.118487 \nL 67.661589 103.890676 \nL 73.248011 99.737431 \nL 79.531901 96.82274 \nL 86.258893 95.208292 \nL 93.173805 94.851089 \nL 100.04608 95.618735 \nL 106.687271 97.317108 \nL 112.958907 99.722767 \nL 118.771836 102.612556 \nL 124.079787 105.785473 \nL 128.870197 109.075182 \nL 133.154773 112.354123 \nL 136.961225 115.531556 \nL 140.326755 118.548196 \nL 145.904499 123.979481 \nL 150.230479 128.558979 \nL 159.676623 138.920333 \nL 161.625791 140.636189 \nL 163.506188 141.920735 \nL 165.407552 142.811109 \nL 167.393825 143.330065 \nL 169.506439 143.489334 \nL 171.765951 143.293233 \nL 174.172046 142.742805 \nL 176.702062 141.84069 \nL 179.308503 140.597056 \nL 181.916278 139.036519 \nL 184.420899 137.205678 \nL 186.689384 135.180066 \nL 188.565965 133.06848 \nL 189.305303 132.023417 \nL 189.884603 131.011808 \nL 190.284826 130.054691 \nL 190.48919 129.173348 \nL 190.484075 128.388456 \nL 190.259895 127.719157 \nL 189.811873 127.182089 \nL 189.140636 126.790478 \nL 188.252552 126.553355 \nL 187.159765 126.475028 \nL 185.879909 126.554844 \nL 184.43548 126.78728 \nL 181.161553 127.666563 \nL 177.57612 128.995111 \nL 173.923071 130.629011 \nL 170.417882 132.429893 \nL 167.226119 134.286702 \nL 164.456757 136.123587 \nL 162.16715 137.896406 \nL 160.37446 139.583377 \nL 159.068807 141.174909 \nL 158.225178 142.66553 \nL 157.812722 144.048705 \nL 157.80125 145.314171 \nL 158.165247 146.446931 \nL 158.885935 147.427097 \nL 159.951864 148.230029 \nL 161.358373 148.826493 \nL 163.106125 149.182729 \nL 165.198732 149.260554 \nL 167.639316 149.017744 \nL 170.425777 148.409158 \nL 173.544416 147.389159 \nL 176.961588 145.916228 \nL 180.613375 143.960673 \nL 184.393736 141.516339 \nL 188.142882 138.616596 \nL 189.938983 137.021841 \nL 191.639253 135.353278 \nL 193.206534 133.634427 \nL 194.600822 131.894221 \nL 195.780339 130.166846 \nL 196.703011 128.491132 \nL 197.328357 126.909431 \nL 197.619722 125.465903 \nL 197.54673 124.204255 \nL 197.08777 123.165045 \nL 196.232268 122.382745 \nL 194.982431 121.882935 \nL 193.354205 121.679923 \nL 191.377216 121.775274 \nL 189.093593 122.157462 \nL 186.555739 122.80283 \nL 183.823262 123.677716 \nL 180.959405 124.741556 \nL 175.087259 127.260552 \nL 169.390436 130.02797 \nL 164.201698 132.792119 \nL 159.714722 135.410377 \nL 156.001838 137.83351 \nL 153.049179 140.0703 \nL 150.792391 142.15385 \nL 149.144795 144.119107 \nL 148.016336 145.991922 \nL 147.324772 147.786102 \nL 147.001308 149.504642 \nL 146.992699 151.142379 \nL 147.261309 152.688594 \nL 147.78416 154.128866 \nL 148.551609 155.446072 \nL 149.566016 156.620568 \nL 150.840578 157.629677 \nL 152.398366 158.446636 \nL 154.271454 159.039085 \nL 156.499972 159.367151 \nL 159.13071 159.381241 \nL 162.214772 159.019721 \nL 165.803473 158.206864 \nL 169.941348 156.851867 \nL 174.654681 154.850428 \nL 177.226135 153.572487 \nL 179.933627 152.091426 \nL 182.765976 150.394859 \nL 185.705943 148.472684 \nL 188.728911 146.318454 \nL 191.801505 143.931097 \nL 194.88022 141.316981 \nL 197.910208 138.49229 \nL 200.82443 135.485579 \nL 203.543462 132.340281 \nL 205.976257 129.11681 \nL 208.022276 125.893725 \nL 209.575327 122.76733 \nL 210.529353 119.848997 \nL 210.786198 117.259567 \nL 210.264938 115.120633 \nL 208.911885 113.542973 \nL 206.709826 112.613327 \nL 203.684661 112.38175 \nL 199.907675 112.852116 \nL 195.492178 113.978515 \nL 190.58444 115.669208 \nL 185.350157 117.797883 \nL 179.958902 120.220085 \nL 169.318088 125.382581 \nL 137.260707 141.536871 \nL 133.666861 143.65817 \nL 130.867422 145.604793 \nL 128.63465 147.468854 \nL 126.776419 149.295813 \nL 123.58373 152.875357 \nL 121.203349 155.450783 \nL 119.461987 157.076572 \nL 117.517671 158.598342 \nL 115.311754 159.983953 \nL 112.792036 161.193741 \nL 109.913033 162.17694 \nL 106.638587 162.867232 \nL 104.845633 163.076367 \nL 102.947493 163.177897 \nL 100.945412 163.157059 \nL 98.843007 162.997338 \nL 96.646832 162.680498 \nL 94.367015 162.186704 \nL 92.017967 161.49479 \nL 89.619121 160.582755 \nL 87.195679 159.428504 \nL 84.779281 158.010909 \nL 82.408528 156.311261 \nL 80.129221 154.315089 \nL 77.994179 152.014405 \nL 76.062482 149.410248 \nL 74.397965 146.515408 \nL 73.066854 143.357025 \nL 72.134486 139.97872 \nL 71.6612 136.441765 \nL 71.697629 132.824811 \nL 72.279866 129.221697 \nL 73.425066 125.737145 \nL 75.128206 122.480403 \nL 77.360619 119.557414 \nL 80.070763 117.062369 \nL 83.187287 115.069876 \nL 86.624094 113.629027 \nL 90.286677 112.760204 \nL 94.078872 112.455171 \nL 97.909049 112.680175 \nL 101.69509 113.381394 \nL 105.36771 114.491592 \nL 108.872082 115.936976 \nL 112.167966 117.643254 \nL 115.228715 119.540384 \nL 118.039577 121.565769 \nL 120.595664 123.665963 \nL 122.899864 125.797186 \nL 124.960901 127.924946 \nL 126.791631 130.023109 \nL 128.407619 132.072716 \nL 131.064569 135.978775 \nL 133.073051 139.588986 \nL 134.567785 142.894349 \nL 135.66742 145.909612 \nL 136.471123 148.66011 \nL 137.291605 152.351642 \nL 137.957039 156.601724 \nL 139.336809 166.748428 \nL 139.954416 169.03015 \nL 140.577901 170.515266 \nL 141.395259 171.803383 \nL 142.080485 172.546557 \nL 142.90683 173.189395 \nL 143.905005 173.721496 \nL 145.112294 174.128136 \nL 146.573879 174.388885 \nL 148.344304 174.475713 \nL 150.48898 174.350398 \nL 153.085546 173.96106 \nL 156.224669 173.237613 \nL 160.009532 172.086019 \nL 164.552621 170.381555 \nL 169.967469 167.962006 \nL 173.033605 166.421934 \nL 176.351443 164.623321 \nL 179.925386 162.534698 \nL 183.753628 160.123364 \nL 187.825752 157.356786 \nL 192.119772 154.204775 \nL 196.598584 150.642668 \nL 201.205898 146.655724 \nL 205.861824 142.244957 \nL 210.458476 137.43445 \nL 214.856245 132.279946 \nL 218.881751 126.878007 \nL 222.328882 121.374378 \nL 224.964684 115.969183 \nL 226.541979 110.915703 \nL 226.82013 106.508826 \nL 225.593948 103.05976 \nL 222.728278 100.856051 \nL 218.192101 100.110815 \nL 212.083002 100.911784 \nL 204.631863 103.185994 \nL 196.181361 106.696046 \nL 187.140183 111.075284 \nL 177.924259 115.894432 \nL 160.355841 125.272168 \nL 152.471923 129.27002 \nL 145.344655 132.622235 \nL 138.997491 135.3123 \nL 133.405318 137.38729 \nL 128.514525 138.92877 \nL 124.258071 140.030275 \nL 120.565417 140.782748 \nL 117.368362 141.266728 \nL 112.21605 141.684463 \nL 108.377044 141.668363 \nL 105.527296 141.442692 \nL 102.596408 140.962094 \nL 100.793424 140.469058 \nL 99.53115 139.918196 \nL 99.067396 139.497195 \nL 99.132661 139.410584 \nL 99.416975 139.491083 \nL 99.849986 139.86635 \nL 100.144167 140.444052 \nL 100.178267 140.952714 \nL 99.998981 141.414029 \nL 99.615369 141.752092 \nL 99.071735 141.906028 \nL 98.4425 141.83835 \nL 97.823999 141.542784 \nL 97.321665 141.050304 \nL 97.032295 140.430557 \nL 97.023363 139.785041 \nL 97.21476 139.354222 \nL 97.563578 139.021605 \nL 98.039484 138.824991 \nL 98.597789 138.787963 \nL 99.377032 138.995607 \nL 100.074951 139.465165 \nL 100.575203 140.121342 \nL 100.794607 140.861553 \nL 100.748575 141.404032 \nL 100.520038 141.883726 \nL 100.12259 142.258082 \nL 99.583546 142.490911 \nL 98.94314 142.55478 \nL 98.253124 142.433689 \nL 97.574302 142.125977 \nL 96.97247 141.647045 \nL 96.51251 141.03109 \nL 96.250839 140.330778 \nL 96.227114 139.613774 \nL 96.456919 138.955743 \nL 96.927312 138.430545 \nL 97.596873 138.09945 \nL 98.400623 138.002006 \nL 99.258775 138.15083 \nL 100.087242 138.531321 \nL 100.807467 139.105724 \nL 101.353914 139.819761 \nL 101.678499 140.609827 \nL 101.752344 141.40918 \nL 101.565788 142.152513 \nL 101.12767 142.778958 \nL 100.46466 143.234271 \nL 99.620897 143.472905 \nL 98.657692 143.460889 \nL 97.652503 143.17984 \nL 96.696032 142.632138 \nL 95.886238 141.846238 \nL 95.318514 140.880393 \nL 95.114935 140.178749 \nL 95.071664 139.467646 \nL 95.19765 138.78203 \nL 95.492857 138.157508 \nL 95.947694 137.627734 \nL 96.543339 137.221813 \nL 97.252895 136.962013 \nL 98.043288 136.862176 \nL 98.877645 136.926993 \nL 99.717808 137.152186 \nL 100.908616 137.762035 \nL 101.918936 138.636858 \nL 102.662324 139.690698 \nL 103.080339 140.830447 \nL 103.161819 141.592476 \nL 103.081285 142.325964 \nL 102.840161 143.006563 \nL 102.444066 143.611484 \nL 101.902696 144.119505 \nL 101.229868 144.511039 \nL 100.443713 144.768321 \nL 99.566945 144.875821 \nL 98.627115 144.820925 \nL 97.656724 144.594931 \nL 96.693023 144.194332 \nL 95.777319 143.622319 \nL 94.953647 142.890322 \nL 94.266677 142.019331 \nL 93.758881 141.04066 \nL 93.467089 139.995762 \nL 93.4188 138.934749 \nL 93.62879 137.913495 \nL 94.096591 136.989459 \nL 94.805431 136.216688 \nL 95.722953 135.640758 \nL 96.803719 135.29458 \nL 97.993151 135.195734 \nL 99.232181 135.345801 \nL 100.461939 135.731612 \nL 101.627737 136.327949 \nL 102.681959 137.101077 \nL 103.585688 138.012312 \nL 104.309191 139.021176 \nL 104.831514 140.087763 \nL 105.139546 141.17425 \nL 105.226845 142.245617 \nL 105.092513 143.269746 \nL 104.740308 144.217139 \nL 104.1781 145.060362 \nL 103.417741 145.773516 \nL 102.475348 146.3318 \nL 101.371958 146.711332 \nL 100.134464 146.889406 \nL 98.7967 146.845259 \nL 97.40044 146.561511 \nL 95.996032 146.026331 \nL 94.642297 145.236295 \nL 93.40526 144.199765 \nL 92.355336 142.940302 \nL 91.562757 141.499456 \nL 91.091334 139.937941 \nL 90.991154 138.334237 \nL 91.291308 136.779935 \nL 91.994187 135.371813 \nL 92.489346 134.751732 \nL 93.072773 134.201611 \nL 93.73671 133.730386 \nL 95.26814 133.052389 \nL 96.997495 132.75516 \nL 98.829152 132.846216 \nL 100.667604 133.305348 \nL 102.425582 134.090436 \nL 104.029576 135.145129 \nL 105.422463 136.406533 \nL 106.56356 137.811542 \nL 107.426904 139.301168 \nL 107.998535 140.822818 \nL 108.273555 142.330902 \nL 108.253409 143.786248 \nL 107.943782 145.154804 \nL 107.353209 146.406026 \nL 106.492492 147.511193 \nL 105.374905 148.441902 \nL 104.017161 149.168833 \nL 102.441087 149.660985 \nL 100.675907 149.885558 \nL 98.760981 149.80875 \nL 96.748715 149.397811 \nL 94.70712 148.624612 \nL 92.721349 147.471035 \nL 90.893148 145.936074 \nL 90.07364 145.031945 \nL 89.337152 144.043996 \nL 88.698745 142.980496 \nL 88.173053 141.852135 \nL 87.773821 140.672083 \nL 87.513369 139.455903 \nL 87.402072 138.221375 \nL 87.447834 136.98813 \nL 87.655624 135.77718 \nL 88.027105 134.610278 \nL 88.560367 133.509205 \nL 89.249842 132.494967 \nL 90.086363 131.586995 \nL 91.057409 130.802382 \nL 92.147521 130.15523 \nL 93.338834 129.656149 \nL 94.611721 129.311951 \nL 95.945495 129.125547 \nL 97.319109 129.096063 \nL 98.711818 129.219124 \nL 100.103771 129.487316 \nL 101.476493 129.890714 \nL 102.813253 130.417512 \nL 104.099304 131.054611 \nL 106.470875 132.604291 \nL 108.515289 134.429455 \nL 110.187211 136.428244 \nL 111.465919 138.513858 \nL 112.348279 140.616497 \nL 112.842104 142.682155 \nL 112.960693 144.669706 \nL 112.718836 146.547376 \nL 112.130265 148.289181 \nL 111.206437 149.87164 \nL 109.956498 151.270846 \nL 108.388322 152.459863 \nL 106.510599 153.406503 \nL 104.335996 154.071506 \nL 101.885476 154.40737 \nL 99.193811 154.358285 \nL 97.77379 154.170039 \nL 96.31614 153.861833 \nL 94.832105 153.425578 \nL 93.335075 152.853552 \nL 91.840744 152.138779 \nL 90.367217 151.275497 \nL 88.93502 150.259714 \nL 87.567005 149.089827 \nL 86.288093 147.767322 \nL 85.124858 146.297458 \nL 84.104904 144.689956 \nL 83.256028 142.959587 \nL 82.605203 141.126573 \nL 82.177366 139.216747 \nL 81.994115 137.26136 \nL 82.072369 135.29647 \nL 82.423125 133.3619 \nL 83.050412 131.499766 \nL 83.950591 129.752608 \nL 85.112078 128.161328 \nL 86.515572 126.763051 \nL 88.1348 125.589141 \nL 89.937694 124.663574 \nL 91.887951 124.001851 \nL 93.946778 123.610545 \nL 96.074689 123.487474 \nL 98.233185 123.622519 \nL 100.386195 123.998859 \nL 102.501197 124.594553 \nL 104.54996 125.38419 \nL 106.50896 126.340526 \nL 108.359441 127.435924 \nL 110.087252 128.643543 \nL 111.682473 129.938235 \nL 113.138931 131.297134 \nL 114.453648 132.700005 \nL 115.626268 134.129355 \nL 117.553668 137.010833 \nL 118.950966 139.852174 \nL 119.859843 142.596318 \nL 120.323989 145.20978 \nL 120.382686 147.674719 \nL 120.067085 149.982562 \nL 119.398437 152.129061 \nL 118.387693 154.110482 \nL 117.03602 155.920516 \nL 115.336037 157.547487 \nL 113.273746 158.971609 \nL 110.831295 160.161957 \nL 107.99099 161.073103 \nL 106.417533 161.4049 \nL 104.741087 161.641401 \nL 102.962473 161.771218 \nL 101.084102 161.781413 \nL 99.11042 161.657496 \nL 97.048428 161.383448 \nL 94.908248 160.941871 \nL 92.703754 160.314266 \nL 90.453204 159.481465 \nL 88.17988 158.424324 \nL 85.91266 157.124631 \nL 83.686435 155.566372 \nL 81.542305 153.737289 \nL 79.527411 151.630755 \nL 77.694288 149.247922 \nL 76.099616 146.59998 \nL 74.802236 143.710341 \nL 73.860463 140.616431 \nL 73.328661 137.370743 \nL 73.253357 134.040727 \nL 73.669148 130.707181 \nL 74.594922 127.460942 \nL 76.030902 124.397883 \nL 77.957051 121.612572 \nL 80.333245 119.191321 \nL 80.333245 119.191321 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p1aba1b2806\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(results_test_np[:,0], results_test_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(results_test_np[:,0], results_test_np[:,1], results_test_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Runge-Kutta method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:25: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n  self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_train_coeffs = {\"sigma\": 20*torch.rand(()), \"rho\": 20*torch.rand(()), \"beta\": 20*torch.rand(())} # Start with arbitrary values\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(0.0269, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(11.0100, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(9.3664, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.1177, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(0.0425, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.3953, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(14.0696, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.4969, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(0.0134, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.3503, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(18.3947, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.4089, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(0.0015, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.5030, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(21.6698, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6779, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(0.0011, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.2792, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(24.8491, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(3.0546, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(0.0157, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.3136, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(26.7616, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.1074, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(0.0050, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.1203, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(27.8602, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6805, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(0.0042, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.8177, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.1609, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.8560, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(5.5081e-05, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.1653, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.2235, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7401, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.3832, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.2487, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7291, requires_grad=True)}\n",
+      "Epoch: 10\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.2228, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.2755, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.5824, requires_grad=True)}\n",
+      "Epoch: 11\t Loss: tensor(0.0013, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.1830, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.2776, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6609, requires_grad=True)}\n",
+      "Epoch: 12\t Loss: tensor(0.0021, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.6465, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.1997, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.5274, requires_grad=True)}\n",
+      "Epoch: 13\t Loss: tensor(8.0008e-05, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.6710, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.1879, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7209, requires_grad=True)}\n",
+      "Epoch: 14\t Loss: tensor(0.0037, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.9806, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.1990, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.4557, requires_grad=True)}\n",
+      "Epoch: 15\t Loss: tensor(0.0012, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.1266, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.1765, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7954, requires_grad=True)}\n",
+      "Epoch: 16\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.1158, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.1551, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.5480, requires_grad=True)}\n",
+      "Epoch: 17\t Loss: tensor(0.0006, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(9.9688, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.1413, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.5416, requires_grad=True)}\n",
+      "Epoch: 18\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.1186, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.1213, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.7960, requires_grad=True)}\n",
+      "Epoch: 19\t Loss: tensor(9.6682e-05, grad_fn=<MseLossBackward>)\n",
+      "{'sigma': Parameter containing:\n",
+      "tensor(10.0542, requires_grad=True), 'rho': Parameter containing:\n",
+      "tensor(28.1391, requires_grad=True), 'beta': Parameter containing:\n",
+      "tensor(2.6882, requires_grad=True)}\n",
+      "Time elapsed:  117.03746318817139\n"
+     ]
+    }
+   ],
+   "source": [
+    "start = time.time()\n",
+    "\n",
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,\n",
+    "    torch.optim.Adam,\n",
+    "    {\"lr\": 0.5},\n",
+    "    max_epochs=20,\n",
+    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    scheduler_params={\"milestones\": [10],\"gamma\": 0.2}\n",
+    ")\n",
+    "\n",
+    "end = time.time()\n",
+    "print(\"Time elapsed: \", end-start)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'sigma': Parameter containing:\n",
+       " tensor(10.0542, requires_grad=True),\n",
+       " 'rho': Parameter containing:\n",
+       " tensor(28.1391, requires_grad=True),\n",
+       " 'beta': Parameter containing:\n",
+       " tensor(2.6882, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 24
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs\n",
+    "\n",
+    "# The parameters are significantly closer, differing by  0.06 at most"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt = 10000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_test = ode_solver_train(10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 9.1757e-01,  2.6760e-01,  1.2693e-03],\n",
+       "        [ 8.6752e-01,  5.1411e-01,  4.6744e-03],\n",
+       "        ...,\n",
+       "        [-4.9755e+00, -7.6280e+00,  1.8139e+01],\n",
+       "        [-5.2501e+00, -8.0631e+00,  1.8054e+01],\n",
+       "        [-5.5415e+00, -8.5255e+00,  1.8017e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 26
+    }
+   ],
+   "source": [
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "<ipython-input-27-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:27:04.958850</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mdd325423ac\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"66.292582\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −15 -->\n      <g transform=\"translate(55.740238 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"109.448078\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −10 -->\n      <g transform=\"translate(98.895734 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"152.603574\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −5 -->\n      <g transform=\"translate(145.23248 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"195.75907\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0 -->\n      <g transform=\"translate(192.57782 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"238.914565\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 5 -->\n      <g transform=\"translate(235.733315 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"282.070061\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(275.707561 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"325.225557\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 15 -->\n      <g transform=\"translate(318.863057 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"368.381053\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 20 -->\n      <g transform=\"translate(362.018553 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_9\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m7dce02e76f\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7dce02e76f\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7dce02e76f\" y=\"211.406146\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.205365)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7dce02e76f\" y=\"161.596292\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.39551)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7dce02e76f\" y=\"111.786437\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.585656)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7dce02e76f\" y=\"61.976583\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 65.775802)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7dce02e76f\" y=\"12.166729\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 15.965948)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p4004c354e4)\" d=\"M 204.390169 261.216 \nL 203.053762 261.166812 \nL 203.069786 261.132303 \nL 204.191032 260.965813 \nL 209.396723 260.267236 \nL 214.894231 259.248829 \nL 219.87908 258.044986 \nL 222.854849 257.196465 \nL 226.199587 256.125713 \nL 229.952347 254.775923 \nL 234.154927 253.076784 \nL 238.851152 250.941858 \nL 244.085696 248.265816 \nL 249.902245 244.921792 \nL 256.340796 240.759295 \nL 263.433778 235.603428 \nL 271.200702 229.256528 \nL 279.641025 221.503876 \nL 288.724967 212.125517 \nL 298.382389 200.916675 \nL 308.490126 187.71898 \nL 318.859025 172.463553 \nL 329.222935 155.224038 \nL 339.233132 136.272698 \nL 348.462644 116.126236 \nL 356.424921 95.561544 \nL 362.609855 75.580694 \nL 366.535967 57.311983 \nL 367.812273 41.853778 \nL 366.197382 30.093025 \nL 361.641398 22.54959 \nL 354.298441 19.296 \nL 344.505977 19.976937 \nL 332.736538 23.9161 \nL 319.534721 30.269144 \nL 305.454389 38.1743 \nL 291.007626 46.865317 \nL 249.380589 72.419544 \nL 236.929021 79.812605 \nL 225.414484 86.467651 \nL 214.878643 92.391596 \nL 196.709751 102.241775 \nL 175.989787 113.031 \nL 148.650134 127.204626 \nL 142.068535 130.529261 \nL 138.550142 132.094227 \nL 135.478574 133.184473 \nL 132.704628 133.821746 \nL 130.126293 134.021113 \nL 127.68124 133.797387 \nL 125.340406 133.170403 \nL 123.102384 132.169433 \nL 120.98826 130.836592 \nL 119.036481 129.229197 \nL 117.297438 127.420477 \nL 115.827517 125.498265 \nL 114.682754 123.561394 \nL 113.912235 121.713979 \nL 113.551829 120.057875 \nL 113.619062 118.684619 \nL 113.812612 118.127938 \nL 114.109678 117.66783 \nL 114.506128 117.309776 \nL 114.996472 117.057558 \nL 115.573936 116.913274 \nL 116.957611 116.948549 \nL 118.583062 117.400421 \nL 120.366314 118.23232 \nL 122.219566 119.391549 \nL 124.056881 120.814929 \nL 125.798895 122.433963 \nL 127.376131 124.178943 \nL 128.730976 125.981858 \nL 129.818411 127.778208 \nL 130.605855 129.507874 \nL 131.072386 131.115374 \nL 131.207724 132.549832 \nL 131.011228 133.764876 \nL 130.49107 134.718743 \nL 129.663758 135.374646 \nL 128.553992 135.701652 \nL 127.194789 135.676106 \nL 125.627858 135.283527 \nL 123.903895 134.521066 \nL 122.082663 133.400143 \nL 120.232507 131.949003 \nL 118.428989 130.214691 \nL 116.752397 128.263768 \nL 115.284015 126.181102 \nL 114.101208 124.066382 \nL 113.27167 122.028093 \nL 112.84748 120.175443 \nL 112.859803 118.609252 \nL 113.0327 117.960559 \nL 113.315098 117.413047 \nL 113.703704 116.973289 \nL 114.193637 116.646083 \nL 114.778517 116.434355 \nL 115.450624 116.339208 \nL 116.201043 116.359957 \nL 117.896402 116.738218 \nL 119.777146 117.533133 \nL 121.750162 118.690253 \nL 123.723169 120.143018 \nL 125.610119 121.818588 \nL 127.335173 123.642613 \nL 128.835031 125.542556 \nL 130.059917 127.449739 \nL 130.973393 129.300346 \nL 131.551532 131.035589 \nL 131.781719 132.6016 \nL 131.661464 133.949147 \nL 131.197406 135.033493 \nL 130.840857 135.464283 \nL 130.404675 135.814689 \nL 129.892048 136.080569 \nL 128.652837 136.34436 \nL 127.159448 136.231988 \nL 125.457248 135.72965 \nL 123.60119 134.836207 \nL 121.655988 133.566183 \nL 119.695541 131.95266 \nL 117.80138 130.049363 \nL 116.059811 127.931289 \nL 114.557606 125.693101 \nL 113.376413 123.444756 \nL 112.586286 121.304413 \nL 112.239149 119.38907 \nL 112.241553 118.549494 \nL 112.36317 117.804324 \nL 112.603185 117.163403 \nL 112.958989 116.634787 \nL 113.426204 116.224594 \nL 113.998753 115.936929 \nL 114.669016 115.773873 \nL 115.42798 115.7355 \nL 116.265461 115.820026 \nL 118.130614 116.342058 \nL 120.167982 117.294367 \nL 122.277102 118.613498 \nL 124.360425 120.225216 \nL 126.328815 122.050628 \nL 128.105285 124.010947 \nL 129.626994 126.030643 \nL 130.845746 128.03911 \nL 131.727413 129.971279 \nL 132.250728 131.767562 \nL 132.405837 133.373428 \nL 132.192961 134.73896 \nL 131.621353 135.818717 \nL 131.206239 136.238486 \nL 130.708737 136.571934 \nL 130.132368 136.814833 \nL 128.759835 137.014295 \nL 127.127984 136.812971 \nL 125.285849 136.197549 \nL 123.292757 135.168495 \nL 121.218562 133.743462 \nL 119.143042 131.960555 \nL 117.154124 129.880606 \nL 115.344589 127.587676 \nL 113.807138 125.186953 \nL 112.628027 122.799474 \nL 111.879805 120.553704 \nL 111.61415 118.574841 \nL 111.671201 117.720872 \nL 111.855861 116.973279 \nL 112.166426 116.341859 \nL 112.599234 115.834353 \nL 113.148736 115.456319 \nL 113.807582 115.211093 \nL 114.566825 115.099785 \nL 115.416102 115.12137 \nL 116.343872 115.272846 \nL 118.384433 115.94471 \nL 120.582722 117.059733 \nL 122.830885 118.545266 \nL 125.026243 120.319366 \nL 127.076802 122.29727 \nL 128.904721 124.39602 \nL 130.447868 126.537323 \nL 131.659847 128.648841 \nL 132.508963 130.664453 \nL 132.976663 132.523791 \nL 133.055814 134.171658 \nL 132.749254 135.557378 \nL 132.454669 136.137278 \nL 132.068718 136.634609 \nL 131.594174 137.044288 \nL 131.034341 137.361585 \nL 130.393056 137.582148 \nL 129.674718 137.702073 \nL 128.027422 137.627076 \nL 126.13985 137.117394 \nL 124.070158 136.166919 \nL 121.887838 134.786434 \nL 119.673654 133.007508 \nL 117.518357 130.8857 \nL 115.519799 128.502125 \nL 113.778287 125.962439 \nL 112.390036 123.392399 \nL 111.439417 120.929695 \nL 110.990747 118.712674 \nL 110.967428 117.736547 \nL 111.081003 116.86751 \nL 111.330995 116.117419 \nL 111.714744 115.495984 \nL 112.227477 115.010576 \nL 112.862387 114.666136 \nL 113.610781 114.465116 \nL 114.462288 114.407581 \nL 115.405121 114.491318 \nL 116.426341 114.712033 \nL 118.648146 115.53828 \nL 121.01232 116.820198 \nL 123.403533 118.47577 \nL 125.714055 120.415396 \nL 127.849202 122.548567 \nL 129.730485 124.78837 \nL 131.296688 127.053968 \nL 132.503341 129.271493 \nL 133.321268 131.373844 \nL 133.734597 133.299961 \nL 133.738852 134.993896 \nL 133.588883 135.737536 \nL 133.339332 136.404127 \nL 132.992216 136.987865 \nL 132.550065 137.48321 \nL 132.015935 137.884928 \nL 131.393397 138.188107 \nL 130.686587 138.388225 \nL 129.90021 138.481216 \nL 129.039582 138.463564 \nL 127.120148 138.085531 \nL 124.984511 137.240787 \nL 122.700921 135.9322 \nL 120.350099 134.183296 \nL 118.024612 132.042411 \nL 115.82657 129.585503 \nL 113.86339 126.916487 \nL 112.241372 124.16398 \nL 111.057544 121.473806 \nL 110.390508 118.997574 \nL 110.268142 117.885201 \nL 110.291741 116.878616 \nL 110.462391 115.992089 \nL 110.778809 115.237685 \nL 111.237348 114.625018 \nL 111.832048 114.161062 \nL 112.554769 113.850055 \nL 113.395402 113.693534 \nL 114.342096 113.690437 \nL 115.381555 113.837267 \nL 116.499368 114.128371 \nL 118.908715 115.111708 \nL 121.444823 116.563467 \nL 123.984701 118.392042 \nL 126.415531 120.500169 \nL 128.64 122.791712 \nL 130.579083 125.175961 \nL 132.172563 127.56972 \nL 133.377986 129.897707 \nL 134.168676 132.091937 \nL 134.531403 134.090628 \nL 134.464199 135.837082 \nL 134.271402 136.599153 \nL 133.974645 137.27876 \nL 133.576195 137.869918 \nL 133.078825 138.366897 \nL 132.485825 138.764254 \nL 131.801017 139.056859 \nL 131.028781 139.239972 \nL 130.174105 139.309306 \nL 129.242606 139.261129 \nL 127.175128 138.800803 \nL 124.885933 137.844865 \nL 122.447687 136.396631 \nL 119.946726 134.481991 \nL 117.48246 132.154108 \nL 115.164859 129.496692 \nL 113.109662 126.624261 \nL 111.431177 123.678344 \nL 110.232986 120.81872 \nL 109.840923 119.473016 \nL 109.59773 118.210232 \nL 109.508882 117.049121 \nL 109.57744 116.00672 \nL 109.803932 115.097904 \nL 110.186274 114.335026 \nL 110.719799 113.727613 \nL 111.397322 113.28224 \nL 112.209327 113.002432 \nL 113.144209 112.888759 \nL 114.188558 112.938959 \nL 115.327509 113.148217 \nL 116.545093 113.509453 \nL 119.149035 114.650346 \nL 121.864658 116.273417 \nL 124.560996 118.277229 \nL 127.119938 120.556773 \nL 129.441465 123.010309 \nL 131.445986 125.543421 \nL 133.074281 128.070652 \nL 134.285873 130.51539 \nL 135.056533 132.808834 \nL 135.375556 134.888488 \nL 135.365439 135.830004 \nL 135.243312 136.696808 \nL 135.010652 137.482308 \nL 134.669437 138.180099 \nL 134.222155 138.783996 \nL 133.671772 139.288035 \nL 133.021774 139.686513 \nL 132.276179 139.974026 \nL 131.439578 140.145538 \nL 130.517179 140.196489 \nL 129.514859 140.12286 \nL 128.439227 139.921317 \nL 126.098455 139.12551 \nL 123.564438 137.80197 \nL 120.921529 135.965196 \nL 118.269113 133.657027 \nL 115.72009 130.951462 \nL 113.396909 127.957007 \nL 111.424864 124.81482 \nL 109.922709 121.691586 \nL 109.380417 120.193095 \nL 108.991465 118.766722 \nL 108.763838 117.434071 \nL 108.703059 116.215293 \nL 108.811991 115.128524 \nL 109.090669 114.189412 \nL 109.536251 113.410677 \nL 110.143043 112.801877 \nL 110.90264 112.369225 \nL 111.804111 112.115562 \nL 112.83431 112.040471 \nL 113.9782 112.140501 \nL 115.219251 112.40946 \nL 116.539866 112.838777 \nL 119.346494 114.134927 \nL 122.25133 115.929063 \nL 125.114845 118.109593 \nL 127.813228 120.563518 \nL 130.243461 123.183417 \nL 132.325163 125.87114 \nL 133.999969 128.538978 \nL 135.229257 131.109037 \nL 135.991122 133.511688 \nL 136.277216 135.683754 \nL 136.24227 136.664887 \nL 136.090054 137.566738 \nL 135.82225 138.382535 \nL 135.441035 139.105663 \nL 134.949057 139.729702 \nL 134.349435 140.248409 \nL 133.645794 140.655771 \nL 132.842292 140.946048 \nL 131.943665 141.113855 \nL 130.955284 141.154251 \nL 129.883216 141.062828 \nL 128.734297 140.83589 \nL 127.516207 140.470597 \nL 126.237539 139.965114 \nL 123.537703 138.53269 \nL 120.723699 136.55243 \nL 117.90116 134.067894 \nL 115.190993 131.158031 \nL 112.725156 127.940106 \nL 110.639264 124.567902 \nL 109.779641 122.880152 \nL 109.062081 121.223706 \nL 108.499549 119.623418 \nL 108.102959 118.103817 \nL 107.88083 116.688407 \nL 107.838941 115.399022 \nL 107.980099 114.255155 \nL 108.303999 113.273452 \nL 108.807126 112.467241 \nL 109.482855 111.846262 \nL 110.321571 111.416498 \nL 111.310919 111.180193 \nL 112.436173 111.136006 \nL 113.680607 111.279293 \nL 115.025957 111.602461 \nL 116.452878 112.095431 \nL 117.941443 112.746118 \nL 121.023473 114.465192 \nL 124.116854 116.640876 \nL 127.081115 119.150218 \nL 129.797442 121.875164 \nL 132.171736 124.707749 \nL 134.134574 127.551983 \nL 135.638968 130.323452 \nL 136.656986 132.947598 \nL 137.176065 135.357507 \nL 137.24794 136.462755 \nL 137.195656 137.491723 \nL 137.020593 138.437286 \nL 136.724609 139.292481 \nL 136.310022 140.050476 \nL 135.779591 140.704565 \nL 135.136541 141.248201 \nL 134.384566 141.67502 \nL 133.527894 141.978873 \nL 132.571331 142.153939 \nL 131.520323 142.1948 \nL 130.381043 142.096565 \nL 129.160462 141.855035 \nL 127.866451 141.466845 \nL 126.507853 140.929707 \nL 125.094554 140.242604 \nL 123.637581 139.40603 \nL 120.642498 137.295509 \nL 117.634121 134.641684 \nL 114.741427 131.526934 \nL 112.106478 128.076257 \nL 109.876424 124.455835 \nL 108.957808 122.643201 \nL 108.191881 120.864417 \nL 107.592868 119.146741 \nL 107.172769 117.517086 \nL 106.940936 116.001238 \nL 106.903697 114.62307 \nL 107.064084 113.403855 \nL 107.421666 112.361596 \nL 107.972477 111.510572 \nL 108.709084 110.861006 \nL 109.620761 110.41891 \nL 110.693788 110.18612 \nL 111.911842 110.160497 \nL 113.25645 110.336256 \nL 114.707522 110.704438 \nL 116.24387 111.253432 \nL 117.843738 111.969521 \nL 121.147197 113.840991 \nL 124.450607 116.187723 \nL 127.604294 118.876395 \nL 130.483353 121.781137 \nL 132.990479 124.788598 \nL 135.055343 127.799413 \nL 136.631658 130.727213 \nL 137.693103 133.496345 \nL 138.026926 134.800019 \nL 138.229061 136.039138 \nL 138.300006 137.206053 \nL 138.240819 138.293344 \nL 138.053048 139.293735 \nL 137.738684 140.200052 \nL 137.300139 141.005227 \nL 136.740236 141.702267 \nL 136.062228 142.284276 \nL 135.269821 142.744479 \nL 134.367227 143.076292 \nL 133.359223 143.273361 \nL 132.25123 143.329698 \nL 131.049408 143.239795 \nL 129.760747 142.998797 \nL 128.393169 142.602665 \nL 126.955638 142.048417 \nL 125.458244 141.334361 \nL 123.912299 140.460384 \nL 122.330408 139.428214 \nL 120.726489 138.2417 \nL 119.115797 136.90712 \nL 117.51485 135.433407 \nL 115.941363 133.832367 \nL 114.414078 132.118824 \nL 112.952528 130.310645 \nL 111.576739 128.428715 \nL 110.30687 126.496689 \nL 109.162783 124.540684 \nL 108.163533 122.588782 \nL 107.326875 120.670389 \nL 106.668687 118.815488 \nL 106.202485 117.053786 \nL 105.938887 115.413814 \nL 105.885211 113.922049 \nL 106.045136 112.602063 \nL 106.418498 111.473805 \nL 107.001197 110.553038 \nL 107.785265 109.850953 \nL 108.759056 109.374001 \nL 109.907604 109.123939 \nL 111.213049 109.098088 \nL 112.655157 109.289703 \nL 114.211918 109.688523 \nL 115.860145 110.28141 \nL 117.576083 111.052972 \nL 119.335975 111.986223 \nL 122.895615 114.265482 \nL 126.366745 116.972842 \nL 129.601999 119.967497 \nL 132.484047 123.121911 \nL 134.926154 126.324702 \nL 136.869595 129.480152 \nL 138.279268 132.505873 \nL 138.778197 133.9472 \nL 139.138697 135.329595 \nL 139.360843 136.645088 \nL 139.445332 137.885954 \nL 139.393393 139.044642 \nL 139.206712 140.113721 \nL 138.887376 141.085848 \nL 138.437855 141.953707 \nL 137.86098 142.710011 \nL 137.159973 143.347512 \nL 136.338465 143.859008 \nL 135.400558 144.237402 \nL 134.3509 144.47576 \nL 133.194762 144.56743 \nL 131.938145 144.506161 \nL 130.587894 144.286273 \nL 129.151815 143.902853 \nL 127.638803 143.351987 \nL 126.058953 142.631033 \nL 124.423674 141.73892 \nL 122.74579 140.676453 \nL 121.039582 139.446673 \nL 119.320846 138.055158 \nL 117.606851 136.510361 \nL 115.916266 134.823856 \nL 114.26901 133.010567 \nL 112.686024 131.088839 \nL 111.188989 129.080448 \nL 109.799907 127.010427 \nL 108.540639 124.906727 \nL 107.432391 122.799731 \nL 106.495106 120.72154 \nL 105.746844 118.705178 \nL 105.203194 116.783602 \nL 104.876668 114.988706 \nL 104.776197 113.350254 \nL 104.906745 111.894933 \nL 105.268994 110.64544 \nL 105.859241 109.619825 \nL 106.669452 108.83102 \nL 107.687437 108.286595 \nL 108.897234 107.988812 \nL 110.279583 107.934869 \nL 111.812531 108.117382 \nL 113.472085 108.525 \nL 115.232923 109.14312 \nL 117.069062 109.954641 \nL 118.954514 110.940734 \nL 120.863886 112.081541 \nL 124.65866 114.746396 \nL 128.278718 117.790976 \nL 131.58109 121.069837 \nL 134.457223 124.455778 \nL 136.831365 127.840474 \nL 138.656123 131.132313 \nL 139.354044 132.718475 \nL 139.906818 134.252801 \nL 140.313965 135.726886 \nL 140.575747 137.132681 \nL 140.693043 138.462377 \nL 140.66723 139.708345 \nL 140.50011 140.863033 \nL 140.19385 141.918944 \nL 139.750934 142.868555 \nL 139.174166 143.704302 \nL 138.466673 144.418605 \nL 137.631941 145.003825 \nL 136.673868 145.452342 \nL 135.596849 145.756614 \nL 134.405864 145.909239 \nL 133.106589 145.90313 \nL 131.70553 145.731628 \nL 130.210153 145.388737 \nL 128.629036 144.869355 \nL 126.972014 144.169559 \nL 125.250306 143.286927 \nL 123.47666 142.220898 \nL 121.665437 140.973143 \nL 119.832682 139.547968 \nL 117.99614 137.952676 \nL 116.175205 136.197938 \nL 114.390816 134.298071 \nL 112.665249 132.27123 \nL 111.021804 130.139494 \nL 109.484444 127.928743 \nL 108.077285 125.66839 \nL 106.824019 123.390907 \nL 105.74728 121.131124 \nL 104.867943 118.925323 \nL 104.204388 116.810194 \nL 103.771852 114.821678 \nL 103.581768 112.993748 \nL 103.641271 111.357215 \nL 103.9528 109.938699 \nL 104.5139 108.759719 \nL 105.317213 107.836092 \nL 106.350631 107.177595 \nL 107.597691 106.787933 \nL 109.038079 106.664968 \nL 110.648286 106.801253 \nL 112.402359 107.18473 \nL 114.272706 107.799544 \nL 116.230873 108.626931 \nL 118.248305 109.646123 \nL 120.297024 110.835164 \nL 122.350237 112.171672 \nL 126.37156 115.198904 \nL 130.136735 118.560172 \nL 133.508027 122.107222 \nL 136.385906 125.71422 \nL 138.705256 129.276386 \nL 139.643064 131.01275 \nL 140.429276 132.706181 \nL 141.062602 134.347683 \nL 141.542694 135.928761 \nL 141.869969 137.441304 \nL 142.045463 138.877462 \nL 142.0707 140.229551 \nL 141.947602 141.489969 \nL 141.678394 142.651098 \nL 141.265584 143.70529 \nL 140.711913 144.644783 \nL 140.020384 145.461691 \nL 139.194275 146.148015 \nL 138.237202 146.69565 \nL 137.15319 147.096438 \nL 135.94678 147.342234 \nL 134.623145 147.42504 \nL 133.188227 147.337123 \nL 131.648899 147.071233 \nL 130.013118 146.620844 \nL 128.29011 145.980426 \nL 126.490535 145.14579 \nL 124.62664 144.114476 \nL 122.712429 142.886159 \nL 120.763752 141.463102 \nL 118.798383 139.850643 \nL 116.836043 138.05759 \nL 114.898315 136.096673 \nL 113.0085 133.984821 \nL 111.191368 131.743384 \nL 109.47278 129.398172 \nL 107.8792 126.979256 \nL 106.4371 124.5206 \nL 105.172294 122.059397 \nL 104.109111 119.635179 \nL 103.269638 117.288685 \nL 102.672848 115.060577 \nL 102.333868 112.990024 \nL 102.263277 111.11331 \nL 102.46658 109.462479 \nL 102.943853 108.064218 \nL 103.689622 106.938962 \nL 104.692946 106.100365 \nL 105.937743 105.555104 \nL 107.403327 105.303037 \nL 109.065086 105.337733 \nL 110.895331 105.647182 \nL 112.86419 106.214769 \nL 114.940524 107.020305 \nL 117.092809 108.041055 \nL 119.289979 109.252775 \nL 121.502113 110.6306 \nL 123.701044 112.149802 \nL 125.860802 113.786402 \nL 129.971677 117.322108 \nL 133.679867 121.074017 \nL 136.87376 124.904989 \nL 138.253841 126.814195 \nL 139.480854 128.702785 \nL 140.550696 130.559881 \nL 141.460764 132.375526 \nL 142.209734 134.140506 \nL 142.797306 135.846221 \nL 143.224019 137.484502 \nL 143.491053 139.047482 \nL 143.600097 140.527495 \nL 143.553203 141.91694 \nL 143.352698 143.208206 \nL 143.001124 144.3936 \nL 142.501187 145.465263 \nL 141.855761 146.415168 \nL 141.067902 147.23504 \nL 140.14089 147.916414 \nL 139.078309 148.450616 \nL 137.884138 148.82884 \nL 136.562878 149.042201 \nL 135.119691 149.081904 \nL 133.560568 148.939378 \nL 131.892511 148.60651 \nL 130.123729 148.075918 \nL 128.26384 147.341265 \nL 126.324074 146.397678 \nL 124.317483 145.242173 \nL 122.259084 143.874161 \nL 120.166015 142.295971 \nL 118.057628 140.513377 \nL 115.955504 138.536167 \nL 113.883368 136.37858 \nL 111.866915 134.059704 \nL 109.933533 131.603698 \nL 108.11184 129.039833 \nL 106.431141 126.402254 \nL 104.92068 123.729504 \nL 103.608873 121.063699 \nL 102.522364 118.449444 \nL 101.685072 115.932455 \nL 101.117255 113.557991 \nL 100.834618 111.369196 \nL 100.847566 109.405438 \nL 101.160617 107.700805 \nL 101.77206 106.282831 \nL 102.673901 105.171589 \nL 103.852025 104.379201 \nL 105.286683 103.909783 \nL 106.953176 103.759827 \nL 108.822725 103.918932 \nL 110.863492 104.370803 \nL 113.041631 105.094464 \nL 115.32234 106.065488 \nL 117.67089 107.257257 \nL 120.053477 108.642074 \nL 122.438007 110.192144 \nL 124.79469 111.880369 \nL 127.09645 113.680918 \nL 129.319223 115.569669 \nL 131.442085 117.524421 \nL 133.447248 119.524983 \nL 135.319974 121.553192 \nL 137.048382 123.592774 \nL 138.623223 125.629201 \nL 140.037608 127.649524 \nL 141.286714 129.642126 \nL 142.367478 131.596535 \nL 143.278328 133.503214 \nL 144.018887 135.353356 \nL 144.589737 137.138713 \nL 144.992196 138.851431 \nL 145.22812 140.483897 \nL 145.299748 142.028618 \nL 145.209579 143.478096 \nL 144.960267 144.824741 \nL 144.55456 146.060791 \nL 143.995283 147.178227 \nL 143.285317 148.168737 \nL 142.42764 149.023704 \nL 141.425386 149.734159 \nL 140.28192 150.29082 \nL 139.000964 150.68415 \nL 137.586731 150.904428 \nL 136.044086 150.941879 \nL 134.378755 150.78684 \nL 132.59751 150.430002 \nL 130.70842 149.86272 \nL 128.72107 149.077353 \nL 126.646821 148.067719 \nL 124.499031 146.829579 \nL 122.293285 145.361233 \nL 120.047575 143.664115 \nL 117.782407 141.74347 \nL 115.520869 139.608951 \nL 113.288577 137.275254 \nL 111.1135 134.762568 \nL 109.02565 132.096934 \nL 107.056601 129.310302 \nL 105.238843 126.440342 \nL 103.605005 123.529909 \nL 102.186891 120.626117 \nL 101.01443 117.779071 \nL 100.11454 115.040246 \nL 99.510036 112.460639 \nL 99.218567 110.088788 \nL 99.251731 107.968795 \nL 99.6144 106.138509 \nL 100.304328 104.628085 \nL 101.312089 103.458919 \nL 102.621312 102.643123 \nL 104.209261 102.183575 \nL 106.04768 102.074424 \nL 108.103839 102.302055 \nL 110.341737 102.846404 \nL 112.723369 103.682351 \nL 115.209917 104.7813 \nL 117.762924 106.112582 \nL 120.345283 107.644781 \nL 122.922079 109.346829 \nL 125.461199 111.188838 \nL 127.933791 113.142725 \nL 130.314526 115.18262 \nL 132.581678 117.285037 \nL 134.71708 119.428905 \nL 136.705966 121.595527 \nL 138.536725 123.768371 \nL 140.2006 125.932883 \nL 141.691363 128.076219 \nL 143.00496 130.187006 \nL 144.13917 132.25507 \nL 145.093259 134.271223 \nL 145.867689 136.227019 \nL 146.463825 138.114555 \nL 146.883706 139.926314 \nL 147.129816 141.654964 \nL 147.204926 143.293264 \nL 147.111954 144.833899 \nL 146.853855 146.269402 \nL 146.433571 147.592039 \nL 145.85398 148.793745 \nL 145.117912 149.866073 \nL 144.228174 150.800112 \nL 143.187608 151.586514 \nL 141.999191 152.215455 \nL 140.666151 152.676694 \nL 139.192126 152.959628 \nL 137.581339 153.053397 \nL 135.838815 152.947068 \nL 133.970604 152.629847 \nL 131.984051 152.09136 \nL 129.888073 151.322069 \nL 127.693434 150.313679 \nL 125.413047 149.059739 \nL 123.062241 147.556232 \nL 120.65901 145.802302 \nL 118.224212 143.801027 \nL 115.781685 141.560187 \nL 113.358255 139.093018 \nL 110.983644 136.418881 \nL 108.690177 133.563779 \nL 106.512326 130.560622 \nL 104.48607 127.449169 \nL 102.648014 124.275573 \nL 101.03435 121.091479 \nL 99.679666 117.952664 \nL 98.615636 114.917234 \nL 97.86967 112.043482 \nL 97.463647 109.387539 \nL 97.412786 107.000962 \nL 97.72475 104.9285 \nL 98.399113 103.206178 \nL 99.427123 101.85996 \nL 100.791972 100.904992 \nL 102.469363 100.345509 \nL 104.428468 100.175469 \nL 106.633152 100.379653 \nL 109.043363 100.935165 \nL 111.616619 101.813256 \nL 114.309459 102.98113 \nL 117.078791 104.403703 \nL 119.883098 106.045205 \nL 122.683397 107.870436 \nL 125.443988 109.845823 \nL 128.132963 111.940079 \nL 130.722488 114.124656 \nL 133.188885 116.373923 \nL 135.512565 118.665181 \nL 137.677822 120.978528 \nL 139.672527 123.296625 \nL 141.487771 125.604423 \nL 143.117453 127.888851 \nL 144.557882 130.138506 \nL 145.807362 132.343339 \nL 146.865803 134.494379 \nL 147.734373 136.583487 \nL 148.415164 138.603117 \nL 148.910925 140.546116 \nL 149.224803 142.405549 \nL 149.360162 144.174538 \nL 149.320421 145.846118 \nL 149.108923 147.413126 \nL 148.72887 148.868096 \nL 148.183273 150.20315 \nL 147.474936 151.409939 \nL 146.606489 152.479559 \nL 145.580443 153.40253 \nL 144.399261 154.168734 \nL 143.065501 154.767464 \nL 141.581957 155.187404 \nL 139.951839 155.416736 \nL 138.178994 155.443261 \nL 136.268157 155.254563 \nL 134.225233 154.83829 \nL 132.057593 154.182491 \nL 129.774411 153.276031 \nL 127.387009 152.109164 \nL 124.909195 150.674174 \nL 122.357612 148.966141 \nL 119.752016 146.9838 \nL 117.115527 144.730458 \nL 114.474783 142.21497 \nL 111.859943 139.45264 \nL 109.304566 136.466061 \nL 106.845256 133.2857 \nL 104.521111 129.950197 \nL 102.372892 126.506256 \nL 100.441979 123.007981 \nL 98.769075 119.515711 \nL 97.392734 116.09421 \nL 96.347776 112.810361 \nL 95.663693 109.730468 \nL 95.363145 106.91732 \nL 95.460694 104.427302 \nL 95.961837 102.307775 \nL 96.862526 100.59501 \nL 98.14908 99.312807 \nL 99.798682 98.471996 \nL 101.780275 98.070772 \nL 104.055863 98.095758 \nL 106.582102 98.523697 \nL 109.312023 99.323561 \nL 112.196816 100.458773 \nL 115.187503 101.889469 \nL 118.236452 103.574483 \nL 121.298619 105.473086 \nL 124.332546 107.546309 \nL 127.30105 109.757877 \nL 130.171615 112.074815 \nL 132.916579 114.467709 \nL 135.513067 116.910747 \nL 137.942786 119.381536 \nL 140.191673 121.860856 \nL 142.249483 124.332291 \nL 144.109307 126.781846 \nL 145.767082 129.19756 \nL 147.221113 131.569126 \nL 148.471598 133.887556 \nL 149.520202 136.144878 \nL 150.369672 138.333864 \nL 151.023489 140.447777 \nL 151.485588 142.480166 \nL 151.760096 144.424704 \nL 151.851154 146.275007 \nL 151.762743 148.024511 \nL 151.498585 149.666335 \nL 151.062073 151.193185 \nL 150.456224 152.597241 \nL 149.683696 153.870077 \nL 148.746802 155.002572 \nL 147.647591 155.984864 \nL 146.387949 156.806313 \nL 144.96972 157.455452 \nL 143.394883 157.920035 \nL 141.665751 158.187055 \nL 139.785213 158.242871 \nL 137.757007 158.073363 \nL 135.586041 157.664197 \nL 133.278737 157.001159 \nL 130.843405 156.070596 \nL 128.290669 154.860027 \nL 125.633866 153.358847 \nL 122.889475 151.559191 \nL 120.077512 149.456926 \nL 117.221842 147.052783 \nL 114.35045 144.353498 \nL 111.495546 141.373018 \nL 108.693477 138.133575 \nL 105.984472 134.666576 \nL 103.412014 131.013158 \nL 101.022036 127.224226 \nL 98.861701 123.359917 \nL 96.977928 119.488321 \nL 95.41566 115.683466 \nL 94.215963 112.02261 \nL 93.414066 108.582953 \nL 93.037502 105.43802 \nL 93.104504 102.654048 \nL 93.622753 100.286682 \nL 94.588707 98.378302 \nL 95.987486 96.956366 \nL 97.793391 96.032654 \nL 99.971011 95.603764 \nL 102.476795 95.65254 \nL 105.260994 96.150193 \nL 108.269765 97.05899 \nL 111.447327 98.335094 \nL 114.737961 99.931326 \nL 118.087812 101.799613 \nL 121.446346 103.893024 \nL 124.767477 106.167258 \nL 128.0103 108.581727 \nL 131.139512 111.100114 \nL 134.125528 113.69058 \nL 136.944347 116.325679 \nL 139.57723 118.982079 \nL 142.010258 121.640141 \nL 144.233776 124.283458 \nL 146.241824 126.89835 \nL 148.031534 129.473388 \nL 149.60256 131.998947 \nL 150.956536 134.466809 \nL 152.096578 136.869812 \nL 153.026854 139.201542 \nL 153.752188 141.456081 \nL 154.277737 143.627785 \nL 154.608737 145.711097 \nL 154.750261 147.700364 \nL 154.707072 149.589714 \nL 154.483486 151.372915 \nL 154.083303 153.04326 \nL 153.509753 154.593453 \nL 152.765503 156.015503 \nL 151.852665 157.300632 \nL 150.772876 158.439208 \nL 149.527372 159.420645 \nL 148.117119 160.233344 \nL 146.542981 160.864669 \nL 144.80591 161.30096 \nL 142.907177 161.527527 \nL 140.848655 161.5288 \nL 138.633146 161.288457 \nL 136.264733 160.789711 \nL 133.749211 160.015697 \nL 131.094532 158.949963 \nL 128.311289 157.577182 \nL 125.413244 155.88396 \nL 122.417824 153.859921 \nL 119.346634 151.498901 \nL 116.225885 148.80031 \nL 113.08673 145.770646 \nL 109.965421 142.424978 \nL 106.903269 138.788338 \nL 103.946322 134.896915 \nL 101.144657 130.798751 \nL 98.551358 126.553844 \nL 96.221023 122.233417 \nL 94.207946 117.918301 \nL 92.563917 113.696252 \nL 91.335871 109.658435 \nL 90.563449 105.895145 \nL 90.27673 102.4912 \nL 90.49429 99.52138 \nL 91.221835 97.046411 \nL 92.451511 95.10991 \nL 94.162007 93.736674 \nL 96.319453 92.932382 \nL 98.878987 92.684686 \nL 101.786942 92.965501 \nL 104.983353 93.734184 \nL 108.404601 94.941106 \nL 111.986022 96.53122 \nL 115.664258 98.447465 \nL 119.379238 100.633563 \nL 123.075764 103.036129 \nL 126.704556 105.606245 \nL 130.222941 108.300295 \nL 133.595073 111.080315 \nL 136.791863 113.913936 \nL 139.790638 116.774045 \nL 142.574614 119.638248 \nL 145.132251 122.488239 \nL 147.456548 125.309168 \nL 149.544307 128.089035 \nL 151.395439 130.818085 \nL 153.012284 133.488327 \nL 154.399017 136.093091 \nL 155.561093 138.626659 \nL 156.504778 141.083938 \nL 157.236751 143.460244 \nL 157.763761 145.751037 \nL 158.092366 147.951765 \nL 158.228708 150.057717 \nL 158.178362 152.063856 \nL 157.946211 153.964721 \nL 157.536381 155.754288 \nL 156.952196 157.425858 \nL 156.19618 158.971956 \nL 155.270086 160.384221 \nL 154.174954 161.653294 \nL 152.911196 162.768707 \nL 151.478735 163.718802 \nL 149.877138 164.49065 \nL 148.105825 165.069989 \nL 146.164286 165.441201 \nL 144.052371 165.587327 \nL 141.770609 165.490185 \nL 139.320592 165.130497 \nL 136.705406 164.488236 \nL 133.930135 163.543015 \nL 131.002412 162.27473 \nL 127.933021 160.664371 \nL 124.736544 158.695046 \nL 121.432015 156.353321 \nL 118.043536 153.630732 \nL 114.600862 150.525568 \nL 111.139832 147.044812 \nL 107.702599 143.206069 \nL 104.337595 139.039455 \nL 101.099097 134.589071 \nL 98.046337 129.913925 \nL 95.242146 125.087949 \nL 92.751005 120.198909 \nL 90.636642 115.346028 \nL 88.959202 110.636234 \nL 87.772164 106.179266 \nL 87.119294 102.081882 \nL 87.031845 98.441765 \nL 87.526305 95.34176 \nL 88.602953 92.84513 \nL 90.24541 90.992252 \nL 92.421236 89.799372 \nL 95.083521 89.259251 \nL 98.173305 89.343578 \nL 101.622646 90.006825 \nL 105.357925 91.190812 \nL 109.303208 92.829549 \nL 113.383343 94.853778 \nL 117.526654 97.194828 \nL 121.667001 99.78766 \nL 125.745318 102.572886 \nL 129.710491 105.498044 \nL 133.519769 108.518017 \nL 137.138666 111.594936 \nL 140.540579 114.697697 \nL 143.706123 117.801227 \nL 146.62233 120.885613 \nL 149.281747 123.935266 \nL 151.681545 126.938072 \nL 153.822631 129.884673 \nL 155.70882 132.76782 \nL 157.346099 135.581804 \nL 158.741948 138.322045 \nL 159.904773 140.984715 \nL 160.843433 143.566431 \nL 161.566821 146.06404 \nL 162.08355 148.474415 \nL 162.401694 150.794308 \nL 162.528596 153.020193 \nL 162.470714 155.148157 \nL 162.233536 157.173801 \nL 161.821512 159.092099 \nL 161.238033 160.897313 \nL 160.485435 162.582869 \nL 159.565028 164.141232 \nL 158.477156 165.563785 \nL 157.221285 166.840716 \nL 155.7961 167.96086 \nL 154.19966 168.911582 \nL 152.429548 169.67865 \nL 150.483107 170.246152 \nL 148.357665 170.596377 \nL 146.050863 170.709841 \nL 143.561006 170.565292 \nL 140.887502 170.13986 \nL 138.031359 169.409312 \nL 134.995778 168.348517 \nL 131.786818 166.932091 \nL 128.41413 165.135295 \nL 124.891786 162.935298 \nL 121.239107 160.31273 \nL 117.481522 157.253615 \nL 113.65137 153.751644 \nL 109.788556 149.810723 \nL 105.940978 145.447658 \nL 102.164609 140.694741 \nL 98.523108 135.601992 \nL 95.086838 130.238603 \nL 91.931172 124.693271 \nL 89.134075 119.072932 \nL 86.772996 113.499696 \nL 84.921161 108.105839 \nL 83.643513 103.027094 \nL 82.992651 98.394719 \nL 83.005163 94.327204 \nL 83.698729 90.922443 \nL 85.070377 88.251631 \nL 87.096147 86.355355 \nL 89.73215 85.242602 \nL 92.917029 84.892548 \nL 96.575453 85.258734 \nL 100.622301 86.274886 \nL 104.967113 87.861503 \nL 109.518414 89.932436 \nL 114.187496 92.400679 \nL 118.891578 95.182969 \nL 123.556091 98.203113 \nL 128.116183 101.393981 \nL 132.517412 104.698322 \nL 136.715851 108.06874 \nL 140.677646 111.467041 \nL 144.378243 114.863214 \nL 147.801351 118.234201 \nL 150.937818 121.562702 \nL 153.784459 124.835996 \nL 156.342906 128.044925 \nL 158.618549 131.183017 \nL 160.619567 134.245752 \nL 162.356081 137.229984 \nL 163.839423 140.133501 \nL 165.081528 142.954648 \nL 166.09443 145.692077 \nL 166.889847 148.344534 \nL 167.478872 150.910698 \nL 167.871727 153.389059 \nL 168.077581 155.77782 \nL 168.104423 158.074788 \nL 167.958981 160.277293 \nL 167.646674 162.382114 \nL 167.171597 164.385375 \nL 166.536521 166.28243 \nL 165.742924 168.067778 \nL 164.791037 169.734931 \nL 163.679898 171.27625 \nL 162.407434 172.682843 \nL 160.970548 173.944354 \nL 159.365247 175.048804 \nL 157.586777 175.982415 \nL 155.629796 176.7294 \nL 153.488586 177.271811 \nL 151.157329 177.589345 \nL 148.630412 177.659268 \nL 145.902832 177.456338 \nL 142.970685 176.952842 \nL 139.831732 176.118814 \nL 136.486096 174.922428 \nL 132.937083 173.330662 \nL 129.192099 171.3103 \nL 125.263715 168.829355 \nL 121.170788 165.858984 \nL 116.939666 162.375948 \nL 112.60535 158.365626 \nL 108.21255 153.82551 \nL 103.816482 148.769053 \nL 99.483219 143.229544 \nL 95.289442 137.263645 \nL 91.3214 130.953951 \nL 87.672829 124.409986 \nL 84.44183 117.766882 \nL 81.726676 111.181343 \nL 79.620667 104.824612 \nL 78.206504 98.872745 \nL 77.550531 93.494981 \nL 77.69759 88.841534 \nL 78.667084 85.032509 \nL 80.450773 82.149342 \nL 83.012662 80.230208 \nL 86.291007 79.269843 \nL 90.202237 79.223595 \nL 94.646252 80.014794 \nL 99.512522 81.544143 \nL 104.686254 83.699573 \nL 110.054121 86.365406 \nL 115.509041 89.429842 \nL 120.953861 92.790483 \nL 126.303751 96.357589 \nL 131.487509 100.055592 \nL 136.44785 103.823148 \nL 141.140926 107.61208 \nL 145.535306 111.385821 \nL 149.610594 115.11758 \nL 153.355874 118.78844 \nL 156.768121 122.385643 \nL 159.850649 125.901076 \nL 162.611668 129.330016 \nL 165.06301 132.670117 \nL 167.219007 135.920638 \nL 169.095547 139.081865 \nL 170.709283 142.154661 \nL 172.077009 145.140176 \nL 173.215147 148.039645 \nL 174.139363 150.854218 \nL 174.864279 153.584873 \nL 175.403268 156.232361 \nL 175.768304 158.797138 \nL 175.969879 161.279337 \nL 176.016956 163.67872 \nL 175.91695 165.99466 \nL 175.675733 168.226066 \nL 175.297657 170.371359 \nL 174.785589 172.428373 \nL 174.140949 174.394316 \nL 173.363754 176.265644 \nL 172.452663 178.037967 \nL 171.405032 179.705899 \nL 170.216952 181.262932 \nL 168.88332 182.701242 \nL 167.397885 184.011496 \nL 165.753329 185.182614 \nL 163.941353 186.201536 \nL 161.952795 187.052916 \nL 159.777761 187.718852 \nL 157.405829 188.178561 \nL 154.826293 188.408059 \nL 152.028476 188.379895 \nL 149.002152 188.062893 \nL 145.738079 187.422014 \nL 142.22867 186.418375 \nL 138.468825 185.009492 \nL 134.456964 183.149864 \nL 130.196239 180.792012 \nL 125.695996 177.888144 \nL 120.973403 174.39253 \nL 116.055251 170.264801 \nL 110.979833 165.474205 \nL 105.798733 160.004876 \nL 100.57842 153.861878 \nL 95.401215 147.077703 \nL 90.365471 139.718539 \nL 85.584502 131.889283 \nL 81.183931 123.736155 \nL 77.297255 115.445565 \nL 74.059539 107.238142 \nL 71.599513 99.357402 \nL 70.030635 92.053531 \nL 69.442075 85.563851 \nL 69.890662 80.092432 \nL 71.395089 75.79227 \nL 73.933181 72.752878 \nL 77.442775 70.995385 \nL 81.826134 70.475728 \nL 86.95722 71.094912 \nL 92.690834 72.713907 \nL 98.872352 75.170388 \nL 105.346986 78.29479 \nL 111.967674 81.923478 \nL 118.601096 85.908244 \nL 125.13162 90.121895 \nL 131.463358 94.46042 \nL 137.520556 98.842514 \nL 143.246758 103.207498 \nL 148.603117 107.512278 \nL 153.566215 111.727981 \nL 158.125653 115.836775 \nL 162.281644 119.829018 \nL 166.04274 123.700861 \nL 169.423786 127.452389 \nL 172.444131 131.086188 \nL 175.126112 134.606276 \nL 177.493814 138.017403 \nL 179.572068 141.324538 \nL 181.385662 144.532582 \nL 182.958755 147.646154 \nL 184.314437 150.669538 \nL 185.474426 153.606648 \nL 186.458871 156.460999 \nL 187.286241 159.235784 \nL 188.535001 164.557808 \nL 189.334224 169.592529 \nL 189.771659 174.356352 \nL 189.911956 178.863093 \nL 189.799629 183.124427 \nL 189.461832 187.15002 \nL 188.910662 190.947456 \nL 188.144855 194.521858 \nL 187.150847 197.875217 \nL 185.903177 201.005348 \nL 184.364277 203.904314 \nL 183.470383 205.262502 \nL 182.483686 206.556091 \nL 181.395648 207.781258 \nL 180.196739 208.933167 \nL 178.876373 210.005766 \nL 177.422848 210.991559 \nL 175.823285 211.881303 \nL 174.063567 212.663667 \nL 172.128308 213.324848 \nL 170.000816 213.848077 \nL 167.663112 214.213085 \nL 165.095976 214.395456 \nL 162.279073 214.365934 \nL 159.191156 214.089631 \nL 155.81041 213.525222 \nL 152.114942 212.624083 \nL 148.083494 211.329534 \nL 143.696439 209.57625 \nL 138.937122 207.290008 \nL 133.793607 204.38803 \nL 128.260967 200.780215 \nL 122.344096 196.371724 \nL 116.061136 191.067356 \nL 109.447461 184.778293 \nL 102.560055 177.431647 \nL 95.481988 168.983044 \nL 88.326506 159.432017 \nL 81.239871 148.839081 \nL 74.402017 137.342337 \nL 68.023871 125.170233 \nL 62.340262 112.645983 \nL 57.597691 100.179269 \nL 54.037244 88.24194 \nL 51.873888 77.327775 \nL 51.274702 67.900719 \nL 52.33953 60.340506 \nL 55.087799 54.897171 \nL 59.454062 51.66452 \nL 65.293596 50.578653 \nL 72.396817 51.440195 \nL 80.509783 53.953564 \nL 89.357142 57.773155 \nL 98.663855 62.546555 \nL 108.173081 67.948107 \nL 117.658807 73.700113 \nL 126.933047 79.582029 \nL 135.848273 85.430503 \nL 144.296214 91.133239 \nL 152.204247 96.62003 \nL 159.530477 101.853006 \nL 166.258337 106.817632 \nL 172.391291 111.515028 \nL 177.948007 115.956044 \nL 182.95817 120.156813 \nL 187.458966 124.13565 \nL 191.49226 127.911034 \nL 195.102368 131.500362 \nL 198.334369 134.919231 \nL 201.232844 138.181172 \nL 206.200043 144.277684 \nL 210.323789 149.856867 \nL 220.239988 163.765431 \nL 223.412455 167.444661 \nL 225.066676 169.087436 \nL 226.789164 170.589499 \nL 228.595861 171.941854 \nL 230.501825 173.13385 \nL 232.521306 174.153023 \nL 234.667755 174.984923 \nL 236.953793 175.61298 \nL 239.391122 176.018356 \nL 241.990348 176.179845 \nL 244.760738 176.073839 \nL 247.709874 175.674344 \nL 250.843201 174.95321 \nL 254.163472 173.880445 \nL 257.670054 172.424867 \nL 261.35813 170.554984 \nL 265.217771 168.240307 \nL 269.232921 165.453105 \nL 273.380306 162.170633 \nL 277.628376 158.377891 \nL 281.936328 154.070851 \nL 286.253318 149.260019 \nL 290.518105 143.974106 \nL 294.659193 138.26338 \nL 298.595694 132.202276 \nL 302.239136 125.890616 \nL 305.496204 119.452856 \nL 308.272541 113.034819 \nL 310.477415 106.7977 \nL 312.028982 100.909495 \nL 312.859722 95.53443 \nL 312.921448 90.821567 \nL 312.189393 86.894051 \nL 310.664676 83.840332 \nL 308.374979 81.708843 \nL 305.373163 80.506691 \nL 301.734033 80.202296 \nL 297.549682 80.73151 \nL 292.923888 82.005904 \nL 287.966276 83.921979 \nL 282.786716 86.370024 \nL 277.490519 89.241713 \nL 272.174591 92.435868 \nL 266.924769 95.862272 \nL 261.814237 99.443666 \nL 256.902942 103.116218 \nL 252.237786 106.828928 \nL 247.853439 110.542331 \nL 243.773534 114.226872 \nL 240.012076 117.861127 \nL 236.574954 121.430152 \nL 233.461444 124.92398 \nL 230.665606 128.336342 \nL 228.177575 131.663637 \nL 225.98468 134.904088 \nL 224.072418 138.057153 \nL 222.42527 141.123023 \nL 221.027353 144.102296 \nL 219.862966 146.995732 \nL 218.917001 149.804083 \nL 218.175262 152.527974 \nL 217.624695 155.167814 \nL 217.253562 157.723736 \nL 217.051536 160.195541 \nL 217.009773 162.582659 \nL 217.120942 164.884093 \nL 217.379231 167.098369 \nL 217.78033 169.223464 \nL 218.321401 171.256755 \nL 219.00105 173.194909 \nL 219.819274 175.033793 \nL 220.777421 176.768352 \nL 221.878132 178.392468 \nL 223.125283 179.898806 \nL 224.523923 181.278627 \nL 226.080197 182.521564 \nL 227.801254 183.615425 \nL 229.695135 184.545916 \nL 231.770632 185.296383 \nL 234.037109 185.847519 \nL 236.504268 186.177091 \nL 239.181847 186.259669 \nL 242.079245 186.066415 \nL 245.205032 185.564933 \nL 248.566344 184.719281 \nL 252.168121 183.490157 \nL 256.012192 181.835402 \nL 260.096159 179.710877 \nL 264.412116 177.071883 \nL 268.945148 173.875191 \nL 273.671717 170.081927 \nL 278.557932 165.661251 \nL 283.557886 160.594941 \nL 288.612141 154.88279 \nL 293.646666 148.548433 \nL 298.572498 141.645188 \nL 303.286391 134.260972 \nL 307.672845 126.521428 \nL 311.607682 118.589956 \nL 314.963368 110.663719 \nL 317.615833 102.964904 \nL 319.452433 95.727365 \nL 320.380342 89.179694 \nL 320.33433 83.526683 \nL 319.282976 78.931968 \nL 317.232281 75.504558 \nL 314.226201 73.291498 \nL 310.34383 72.277797 \nL 305.693729 72.393114 \nL 300.406159 73.52367 \nL 294.624202 75.527017 \nL 288.494986 78.247041 \nL 282.1617 81.527384 \nL 275.757238 85.221739 \nL 269.399612 89.20069 \nL 263.189186 93.355248 \nL 257.20758 97.597629 \nL 251.517855 101.860141 \nL 246.165711 106.092821 \nL 241.18126 110.260547 \nL 236.581177 114.340061 \nL 232.370934 118.317178 \nL 228.546984 122.184395 \nL 225.098801 125.938907 \nL 222.01068 129.581066 \nL 219.263304 133.1132 \nL 216.835052 136.538796 \nL 214.70307 139.861882 \nL 212.844135 143.086648 \nL 211.235317 146.217197 \nL 209.854482 149.257416 \nL 208.680656 152.210886 \nL 207.694281 155.080865 \nL 206.877369 157.8703 \nL 206.213594 160.581821 \nL 205.288614 165.780273 \nL 204.822251 170.692133 \nL 204.742722 175.329837 \nL 205.001261 179.702659 \nL 205.5697 183.816674 \nL 206.438327 187.674223 \nL 207.614287 191.273004 \nL 209.120608 194.604497 \nL 210.009098 196.165112 \nL 210.995866 197.651699 \nL 212.088207 199.060254 \nL 213.294445 200.385751 \nL 214.623966 201.621943 \nL 216.087243 202.761145 \nL 217.695875 203.793956 \nL 219.462597 204.708947 \nL 221.401293 205.492294 \nL 223.526982 206.127358 \nL 225.855766 206.594202 \nL 228.404737 206.869032 \nL 231.191818 206.923617 \nL 234.235507 206.724649 \nL 237.55451 206.233085 \nL 241.167214 205.403541 \nL 245.090963 204.183775 \nL 249.341091 202.514389 \nL 253.92963 200.328905 \nL 258.863672 197.554405 \nL 264.143308 194.113038 \nL 269.759121 189.924701 \nL 275.689231 184.91129 \nL 281.895937 179.002873 \nL 288.322162 172.146104 \nL 294.887948 164.314834 \nL 301.487466 155.522694 \nL 307.987196 145.836475 \nL 314.226078 135.388526 \nL 320.01843 124.385569 \nL 325.160456 113.110509 \nL 329.440693 101.914218 \nL 332.654143 91.195163 \nL 334.619019 81.36732 \nL 335.194087 72.819742 \nL 334.294016 65.874495 \nL 331.899979 60.751022 \nL 328.063513 57.544459 \nL 322.902679 56.22243 \nL 316.591223 56.639843 \nL 309.342654 58.567489 \nL 301.392008 61.727063 \nL 292.977959 65.825682 \nL 284.327541 70.584147 \nL 275.644708 75.756453 \nL 267.103182 81.139936 \nL 258.843181 86.577875 \nL 250.971382 91.956569 \nL 243.56311 97.199293 \nL 236.665938 102.258961 \nL 230.303941 107.110921 \nL 224.48209 111.746488 \nL 219.190416 116.16762 \nL 214.407751 120.382829 \nL 210.104935 124.404181 \nL 206.247487 128.245176 \nL 202.797757 131.919399 \nL 199.716613 135.439667 \nL 196.964721 138.817561 \nL 194.503492 142.063247 \nL 190.306147 148.19132 \nL 186.850718 153.877022 \nL 182.545239 161.646236 \nL 178.713283 168.544113 \nL 176.156426 172.653363 \nL 173.440926 176.347832 \nL 171.985718 178.028371 \nL 170.446294 179.58948 \nL 168.808605 181.023197 \nL 167.058773 182.319926 \nL 165.18302 183.468239 \nL 163.167629 184.454636 \nL 160.998942 185.263259 \nL 158.663421 185.875641 \nL 156.147756 186.270395 \nL 153.439067 186.422968 \nL 150.525173 186.305385 \nL 147.394994 185.886101 \nL 144.03907 185.129953 \nL 140.450217 183.998304 \nL 136.62439 182.449446 \nL 132.561692 180.439383 \nL 128.267614 177.923116 \nL 123.754448 174.856543 \nL 119.042893 171.199087 \nL 114.163724 166.917271 \nL 109.159523 161.989089 \nL 104.086237 156.409279 \nL 99.014366 150.19517 \nL 94.029533 143.392601 \nL 89.232068 136.081272 \nL 84.73534 128.37841 \nL 80.662539 120.439689 \nL 77.141717 112.45624 \nL 74.299233 104.647001 \nL 72.251922 97.246282 \nL 71.098657 90.487359 \nL 70.912236 84.58382 \nL 71.732653 79.711558 \nL 73.562742 75.993965 \nL 76.366917 73.492946 \nL 80.073238 72.207132 \nL 84.578518 72.077242 \nL 89.755807 72.997078 \nL 95.463171 74.828067 \nL 101.552689 77.41459 \nL 107.878731 80.598048 \nL 114.304775 84.228046 \nL 120.708471 88.170041 \nL 126.984793 92.309626 \nL 133.047497 96.55385 \nL 138.829177 100.830451 \nL 144.280258 105.0856 \nL 149.367278 109.281124 \nL 154.070808 113.391429 \nL 158.383172 117.400639 \nL 162.306239 121.300081 \nL 165.849318 125.086191 \nL 169.027295 128.758866 \nL 171.85901 132.320215 \nL 174.365873 135.773638 \nL 176.570738 139.123182 \nL 178.497001 142.373124 \nL 180.167886 145.527681 \nL 181.605912 148.590862 \nL 182.832496 151.566383 \nL 183.867681 154.457625 \nL 184.729961 157.267647 \nL 185.436175 159.999205 \nL 186.439288 165.236484 \nL 186.978086 170.186175 \nL 187.128128 174.861492 \nL 186.941748 179.272573 \nL 186.450548 183.426537 \nL 185.667636 187.327095 \nL 184.58935 190.973748 \nL 183.196352 194.360492 \nL 182.371631 195.952529 \nL 181.454078 197.473774 \nL 180.436966 198.920877 \nL 179.312564 200.289582 \nL 178.072109 201.574555 \nL 176.70577 202.769192 \nL 175.202615 203.865362 \nL 173.550583 204.85314 \nL 171.736457 205.720467 \nL 169.745863 206.452764 \nL 167.563288 207.032483 \nL 165.172132 207.438605 \nL 162.554823 207.646071 \nL 159.692987 207.625151 \nL 156.567739 207.340797 \nL 153.160073 206.751967 \nL 149.451455 205.811016 \nL 145.424596 204.463208 \nL 141.064524 202.646465 \nL 136.359961 200.291558 \nL 131.305096 197.32294 \nL 125.901794 193.660521 \nL 120.16227 189.222749 \nL 114.112221 183.931407 \nL 107.794303 177.718475 \nL 101.27183 170.535289 \nL 94.632259 162.364016 \nL 87.990013 153.230847 \nL 81.487936 143.21973 \nL 75.296516 132.484411 \nL 69.609968 121.255951 \nL 64.638601 109.842165 \nL 60.597021 98.615985 \nL 57.688827 87.991128 \nL 56.089066 78.386337 \nL 55.926795 70.182581 \nL 57.270416 63.68095 \nL 60.118653 59.0694 \nL 64.398858 56.405827 \nL 69.973131 55.620404 \nL 76.651208 56.535623 \nL 84.20775 58.898486 \nL 92.40116 62.417044 \nL 100.991276 66.794369 \nL 109.753861 71.754891 \nL 118.490938 77.061344 \nL 127.036798 82.522502 \nL 135.260149 87.993655 \nL 143.063357 93.372406 \nL 150.379611 98.59174 \nL 157.168983 103.612494 \nL 163.41396 108.416049 \nL 169.115011 112.998109 \nL 174.286468 117.363682 \nL 178.952881 121.523247 \nL 183.145946 125.490038 \nL 186.90196 129.278162 \nL 190.259799 132.901406 \nL 193.25936 136.372538 \nL 195.940374 139.702949 \nL 198.341556 142.9025 \nL 202.450875 148.940945 \nL 205.859267 154.538046 \nL 215.383914 170.961614 \nL 218.112815 174.740589 \nL 219.564179 176.462988 \nL 221.093345 178.066126 \nL 222.714687 179.542443 \nL 224.442298 180.88278 \nL 226.290086 182.076234 \nL 228.271813 183.109905 \nL 230.401115 183.968639 \nL 232.691455 184.634779 \nL 235.156033 185.087885 \nL 237.807605 185.304491 \nL 240.658234 185.257868 \nL 243.718924 184.91786 \nL 246.999142 184.250841 \nL 250.506193 183.21983 \nL 254.244435 181.78486 \nL 258.214321 179.903661 \nL 262.411237 177.532846 \nL 266.824175 174.629633 \nL 271.434231 171.154274 \nL 276.212986 167.073306 \nL 281.120882 162.363645 \nL 286.105682 157.017461 \nL 291.101265 151.047695 \nL 296.026998 144.493725 \nL 300.787933 137.426606 \nL 305.276166 129.952896 \nL 309.373694 122.216117 \nL 312.956802 114.39467 \nL 315.902069 106.695465 \nL 318.093666 99.34298 \nL 319.431377 92.564296 \nL 319.838479 86.571738 \nL 319.268596 81.545245 \nL 317.710419 77.617444 \nL 315.189662 74.863542 \nL 311.767846 73.297958 \nL 307.538066 72.877657 \nL 302.618358 73.511491 \nL 297.143486 75.073255 \nL 291.256301 77.416319 \nL 285.099559 80.387498 \nL 278.808927 83.838527 \nL 272.507645 87.634404 \nL 266.302972 91.658388 \nL 260.284313 95.814048 \nL 254.522791 100.025133 \nL 249.071933 104.233778 \nL 243.969125 108.398017 \nL 239.237527 112.488922 \nL 234.888225 116.487776 \nL 230.92238 120.383589 \nL 227.333299 124.170944 \nL 224.108311 127.848312 \nL 221.230416 131.41671 \nL 218.679698 134.878721 \nL 216.43449 138.237776 \nL 214.472329 141.497703 \nL 212.770705 144.662387 \nL 211.307637 147.735582 \nL 210.062108 150.720803 \nL 209.014369 153.621279 \nL 208.146143 156.439918 \nL 207.440758 159.179333 \nL 206.883206 161.84185 \nL 206.15995 166.944166 \nL 205.889426 171.760414 \nL 206.009552 176.30051 \nL 206.480935 180.570794 \nL 207.284667 184.573653 \nL 208.420489 188.306556 \nL 209.905501 191.760568 \nL 210.788865 193.377901 \nL 211.773486 194.918056 \nL 212.866178 196.37692 \nL 214.074807 197.749345 \nL 215.408324 199.028959 \nL 216.876766 200.207945 \nL 218.491284 201.276762 \nL 220.264151 202.223855 \nL 222.208749 203.035286 \nL 224.339545 203.694334 \nL 226.672033 204.18102 \nL 229.222607 204.471597 \nL 232.0084 204.537981 \nL 235.047002 204.347164 \nL 238.356074 203.860621 \nL 241.952821 203.033766 \nL 245.853236 201.81553 \nL 250.071134 200.148153 \nL 254.616874 197.967395 \nL 259.495742 195.203284 \nL 264.705931 191.78174 \nL 270.23613 187.627339 \nL 276.062692 182.667572 \nL 282.146464 176.838931 \nL 288.429473 170.095028 \nL 294.831729 162.416715 \nL 301.248628 153.823848 \nL 307.549466 144.387567 \nL 313.577916 134.24142 \nL 319.155177 123.588755 \nL 324.086433 112.70348 \nL 328.170931 101.921409 \nL 331.215394 91.620481 \nL 333.049672 82.190574 \nL 333.54279 73.996091 \nL 332.616955 67.337398 \nL 330.257127 62.418564 \nL 326.514317 59.328003 \nL 321.501826 58.035729 \nL 315.385138 58.407083 \nL 308.367093 60.228781 \nL 300.671008 63.240983 \nL 292.524005 67.168992 \nL 284.142733 71.749514 \nL 275.722551 76.748892 \nL 267.430662 81.973109 \nL 259.402849 87.270574 \nL 251.743215 92.529885 \nL 244.526085 97.674545 \nL 237.799234 102.656357 \nL 231.587828 107.448767 \nL 225.898523 112.040841 \nL 220.723387 116.432256 \nL 216.043463 120.629404 \nL 211.831848 124.642472 \nL 208.05627 128.483371 \nL 204.681184 132.164388 \nL 201.669422 135.69732 \nL 198.983467 139.092999 \nL 196.586389 142.36103 \nL 194.44252 145.509744 \nL 190.780567 151.476404 \nL 187.750493 157.036282 \nL 182.764537 167.034886 \nL 180.472231 171.493431 \nL 178.127967 175.586569 \nL 175.612087 179.295982 \nL 174.254913 180.997204 \nL 172.81361 182.588837 \nL 171.274844 184.063848 \nL 169.625265 185.413685 \nL 167.851415 186.628074 \nL 165.939676 187.694749 \nL 163.876252 188.599195 \nL 161.647184 189.324318 \nL 159.238428 189.850136 \nL 156.635993 190.153434 \nL 153.826162 190.207426 \nL 150.795817 189.981476 \nL 147.532872 189.44087 \nL 144.026867 188.546738 \nL 140.269709 187.25616 \nL 136.256642 185.522598 \nL 131.987414 183.296741 \nL 127.467675 180.527947 \nL 122.710626 177.166403 \nL 117.738848 173.166208 \nL 112.586286 168.489495 \nL 107.30023 163.111617 \nL 101.943122 157.027361 \nL 96.593949 150.257854 \nL 91.348827 142.857553 \nL 86.320475 134.92039 \nL 81.636066 126.583818 \nL 77.433252 118.029314 \nL 73.854145 109.478002 \nL 71.0374 101.180486 \nL 69.108932 93.40106 \nL 68.172099 86.397404 \nL 68.298597 80.398481 \nL 69.521276 75.583963 \nL 71.830103 72.068616 \nL 75.171911 69.894489 \nL 79.454083 69.032036 \nL 84.551586 69.389272 \nL 90.316355 70.826998 \nL 96.587734 73.176846 \nL 103.202595 76.259028 \nL 110.004239 79.897578 \nL 116.849312 83.931461 \nL 123.612517 88.221495 \nL 130.189176 92.653334 \nL 136.49599 97.137369 \nL 142.470336 101.606621 \nL 148.068587 106.013578 \nL 153.263844 110.326509 \nL 158.043386 114.525947 \nL 162.40609 118.601509 \nL 166.359977 122.54927 \nL 169.919998 126.36963 \nL 173.106097 130.065733 \nL 175.94157 133.642282 \nL 178.451712 137.10473 \nL 180.662734 140.458759 \nL 182.600909 143.709907 \nL 184.291932 146.8634 \nL 185.760443 149.924036 \nL 187.029706 152.896193 \nL 188.12139 155.783796 \nL 189.850094 161.319125 \nL 191.085163 166.554352 \nL 191.938097 171.509563 \nL 192.495824 176.201829 \nL 192.824034 180.646066 \nL 192.98665 186.876217 \nL 192.839626 192.618019 \nL 192.429596 197.906179 \nL 191.76003 202.770019 \nL 191.154582 205.788429 \nL 190.401418 208.633204 \nL 189.474882 211.306628 \nL 188.341258 213.807752 \nL 186.957549 216.13107 \nL 185.269825 218.26453 \nL 184.291608 219.253805 \nL 183.211127 220.186566 \nL 182.017565 221.057902 \nL 180.698954 221.86165 \nL 179.24208 222.590108 \nL 177.63239 223.233725 \nL 175.853899 223.780701 \nL 173.88911 224.216521 \nL 171.718949 224.523391 \nL 169.322737 224.679576 \nL 166.678201 224.658633 \nL 163.76156 224.428514 \nL 160.547713 223.950574 \nL 157.010548 223.178463 \nL 153.123464 222.056989 \nL 148.860138 220.520983 \nL 144.195607 218.494332 \nL 139.107818 215.889363 \nL 133.579676 212.606897 \nL 127.601779 208.537377 \nL 121.175867 203.563693 \nL 114.319139 197.566333 \nL 107.069335 190.431737 \nL 99.490462 182.06453 \nL 91.678777 172.404128 \nL 83.768308 161.445424 \nL 75.934858 149.262128 \nL 68.397002 136.029609 \nL 61.412533 122.042077 \nL 55.268623 107.717536 \nL 50.265007 93.583697 \nL 46.690385 80.240621 \nL 44.79448 68.301069 \nL 44.759431 58.316924 \nL 46.676178 50.706473 \nL 50.530481 45.699798 \nL 56.202196 43.316034 \nL 63.477879 43.377141 \nL 72.074275 45.552275 \nL 81.667658 49.419329 \nL 91.923648 54.527887 \nL 102.523047 60.451301 \nL 113.180887 66.821408 \nL 123.657928 73.345194 \nL 143.36365 86.061106 \nL 160.696373 97.636372 \nL 175.32992 107.814821 \nL 181.649058 112.401555 \nL 187.344452 116.684512 \nL 192.459539 120.690606 \nL 197.043286 124.446154 \nL 201.147455 127.975305 \nL 204.824555 131.299274 \nL 211.102786 137.400385 \nL 216.266667 142.855891 \nL 226.435133 153.991721 \nL 230.0847 157.457751 \nL 231.922058 158.965125 \nL 233.7949 160.313024 \nL 235.721088 161.49285 \nL 237.716654 162.494552 \nL 239.795878 163.306577 \nL 241.971305 163.915899 \nL 244.253709 164.308022 \nL 246.652017 164.46705 \nL 249.173136 164.375836 \nL 251.821737 164.016177 \nL 254.599959 163.369147 \nL 257.507034 162.415594 \nL 260.538857 161.136754 \nL 263.687502 159.515117 \nL 266.940672 157.535494 \nL 270.281172 155.18633 \nL 273.686352 152.461242 \nL 277.127668 149.360752 \nL 280.570359 145.894171 \nL 283.973292 142.081421 \nL 287.289172 137.954795 \nL 290.465022 133.560255 \nL 293.44319 128.958158 \nL 296.162797 124.223054 \nL 298.561698 119.442434 \nL 300.578916 114.71418 \nL 302.157416 110.142789 \nL 303.247087 105.834503 \nL 303.807652 101.891701 \nL 303.811282 98.407107 \nL 303.24465 95.458407 \nL 302.110161 93.103866 \nL 300.426268 91.37953 \nL 298.226719 90.298242 \nL 295.558952 89.850466 \nL 292.481631 90.006863 \nL 289.061708 90.721983 \nL 285.371215 91.938728 \nL 281.484045 93.592931 \nL 277.473035 95.617616 \nL 273.407461 97.946638 \nL 269.351064 100.517467 \nL 265.360674 103.27309 \nL 261.485373 106.163125 \nL 257.766178 109.144203 \nL 254.236133 112.17989 \nL 250.920711 115.240174 \nL 247.83845 118.300771 \nL 245.001753 121.34232 \nL 242.417727 124.349572 \nL 240.089059 127.310585 \nL 238.014864 130.216049 \nL 236.191484 133.058658 \nL 234.61319 135.832588 \nL 233.272824 138.533098 \nL 232.162362 141.156151 \nL 231.273353 143.698136 \nL 230.597324 146.155653 \nL 230.126082 148.525309 \nL 229.851969 150.803571 \nL 229.768035 152.986609 \nL 229.868187 155.070206 \nL 230.147272 157.04962 \nL 230.601135 158.919485 \nL 231.226641 160.673681 \nL 232.021657 162.305236 \nL 232.985022 163.806197 \nL 234.116483 165.167501 \nL 235.416594 166.378879 \nL 236.88661 167.4287 \nL 238.52833 168.303855 \nL 240.343911 168.989666 \nL 242.335645 169.469782 \nL 244.505692 169.726153 \nL 246.855753 169.739026 \nL 249.386684 169.487045 \nL 252.098036 168.947418 \nL 254.987549 168.096308 \nL 258.050531 166.909309 \nL 261.279193 165.362233 \nL 264.661894 163.432107 \nL 268.182349 161.098533 \nL 271.81882 158.345333 \nL 275.543316 155.162569 \nL 279.320895 151.548816 \nL 283.109117 147.51367 \nL 286.857813 143.080263 \nL 290.509183 138.287625 \nL 293.998454 133.192472 \nL 297.255102 127.870106 \nL 300.204789 122.414126 \nL 302.77197 116.934451 \nL 304.883123 111.5536 \nL 306.47048 106.401245 \nL 307.475912 101.607248 \nL 307.854673 97.293956 \nL 307.578671 93.568382 \nL 306.638752 90.515385 \nL 305.045896 88.192595 \nL 302.830972 86.627772 \nL 300.043218 85.818901 \nL 296.747455 85.73676 \nL 293.020515 86.329514 \nL 288.947087 87.528531 \nL 284.615479 89.254729 \nL 280.113664 91.424581 \nL 275.525857 93.955242 \nL 270.929762 96.768541 \nL 266.394643 99.793683 \nL 261.980171 102.96878 \nL 257.735912 106.241409 \nL 253.701435 109.568361 \nL 249.906821 112.914904 \nL 246.373496 116.253789 \nL 243.115248 119.564068 \nL 240.139327 122.82998 \nL 237.447566 126.039868 \nL 235.037462 129.185257 \nL 232.903159 132.260048 \nL 231.036355 135.25988 \nL 229.427078 138.1816 \nL 228.06436 141.02284 \nL 226.936797 143.781731 \nL 226.033011 146.456628 \nL 225.342016 149.045916 \nL 224.853503 151.547895 \nL 224.558067 153.960617 \nL 224.447358 156.281801 \nL 224.5142 158.508741 \nL 224.752656 160.638197 \nL 225.15806 162.666321 \nL 225.727033 164.588552 \nL 226.457466 166.399485 \nL 227.348484 168.092774 \nL 228.400389 169.661008 \nL 229.614594 171.095532 \nL 230.993527 172.386324 \nL 232.540518 173.521821 \nL 234.25967 174.488732 \nL 236.155674 175.271875 \nL 238.233614 175.854007 \nL 240.498704 176.215671 \nL 242.955985 176.335102 \nL 245.609936 176.188177 \nL 248.464026 175.748457 \nL 251.520152 174.987383 \nL 254.777985 173.874659 \nL 258.234208 172.378838 \nL 261.881638 170.468311 \nL 265.708239 168.112573 \nL 269.696036 165.284053 \nL 273.82002 161.960359 \nL 278.047017 158.12706 \nL 282.334721 153.780953 \nL 286.63091 148.933611 \nL 290.873078 143.615055 \nL 294.988592 137.877052 \nL 298.895641 131.795655 \nL 302.505055 125.472291 \nL 305.723139 119.032849 \nL 308.455489 112.624237 \nL 310.611716 106.408199 \nL 312.110735 100.5526 \nL 312.886136 95.220743 \nL 312.89119 90.560076 \nL 312.102776 86.691406 \nL 310.523774 83.700485 \nL 308.183561 81.632858 \nL 305.136506 80.492839 \nL 301.45864 80.246473 \nL 297.242895 80.827769 \nL 292.593502 82.147119 \nL 287.620126 84.100455 \nL 282.432352 86.578065 \nL 277.134904 89.472062 \nL 271.823923 92.682026 \nL 266.584349 96.118652 \nL 261.488411 99.705651 \nL 256.595117 103.380103 \nL 251.95049 107.091863 \nL 247.588401 110.802198 \nL 243.531782 114.48214 \nL 239.794046 118.110762 \nL 236.38061 121.673478 \nL 233.290365 125.160599 \nL 230.517094 128.566035 \nL 228.050729 131.886318 \nL 225.878474 135.119767 \nL 223.985756 138.265878 \nL 222.357033 141.324861 \nL 220.976445 144.297322 \nL 219.828339 147.184013 \nL 218.89768 149.985675 \nL 218.170362 152.702896 \nL 217.633435 155.336067 \nL 217.275266 157.885282 \nL 217.085645 160.350304 \nL 217.055843 162.730525 \nL 217.17865 165.024909 \nL 217.448363 167.231917 \nL 217.860788 169.349487 \nL 218.413198 171.374922 \nL 219.104305 173.30482 \nL 219.934211 175.134964 \nL 220.904362 176.860212 \nL 222.017493 178.474333 \nL 223.277573 179.96987 \nL 224.689732 181.337929 \nL 226.26019 182.568003 \nL 227.99616 183.647708 \nL 229.905738 184.562552 \nL 231.997753 185.295651 \nL 234.281585 185.82745 \nL 236.766927 186.135441 \nL 239.463475 186.193907 \nL 242.380542 185.97371 \nL 245.526562 185.442158 \nL 248.908468 184.563027 \nL 252.530921 183.296775 \nL 256.395373 181.601078 \nL 260.498943 179.431753 \nL 264.8331 176.74423 \nL 269.382187 173.495666 \nL 274.121745 169.647859 \nL 279.016849 165.171045 \nL 284.0204 160.04855 \nL 289.071684 154.282217 \nL 294.095352 147.898268 \nL 299.001157 140.95304 \nL 303.684743 133.537805 \nL 308.029777 125.781626 \nL 311.911728 117.851047 \nL 315.203285 109.945673 \nL 317.781306 102.289011 \nL 319.534852 95.114737 \nL 320.373527 88.649587 \nL 320.235126 83.094849 \nL 319.091657 78.609294 \nL 316.952657 75.296231 \nL 313.865409 73.196835 \nL 309.911862 72.290756 \nL 305.202735 72.5033 \nL 299.869604 73.717727 \nL 294.056064 75.790028 \nL 287.908937 78.563901 \nL 281.570498 81.883823 \nL 275.172259 85.605045 \nL 268.830552 89.600128 \nL 262.643943 93.762135 \nL 256.692246 98.005294 \nL 251.036841 102.263683 \nL 245.721906 106.48883 \nL 240.776241 110.646808 \nL 236.215429 114.715263 \nL 232.044062 118.680686 \nL 228.257929 122.536036 \nL 224.846004 126.278815 \nL 221.792247 129.909564 \nL 219.077127 133.430725 \nL 216.678924 136.845823 \nL 214.574763 140.158886 \nL 212.74147 143.374085 \nL 211.156211 146.495494 \nL 209.796985 149.526954 \nL 208.642979 152.472006 \nL 207.674805 155.333863 \nL 206.87466 158.115431 \nL 206.226404 160.819295 \nL 205.329456 166.002964 \nL 204.888313 170.900507 \nL 204.832546 175.524103 \nL 205.114654 179.88276 \nL 205.707653 183.98221 \nL 206.602982 187.824383 \nL 207.808933 191.4064 \nL 209.349722 194.718973 \nL 210.257516 196.268995 \nL 211.265191 197.744015 \nL 212.380214 199.139825 \nL 213.611095 200.451157 \nL 214.967407 201.671479 \nL 216.45982 202.792772 \nL 218.100133 203.805238 \nL 219.90128 204.696986 \nL 221.877346 205.453642 \nL 224.043531 206.057934 \nL 226.416109 206.489175 \nL 229.012303 206.72272 \nL 231.850117 206.729375 \nL 234.948062 206.474734 \nL 238.324746 205.918548 \nL 241.998324 205.014135 \nL 245.985718 203.707896 \nL 250.301584 201.939097 \nL 254.956974 199.640039 \nL 259.957594 196.73687 \nL 265.301681 193.151305 \nL 270.977388 188.803607 \nL 276.959759 183.617193 \nL 283.207333 177.525236 \nL 289.658581 170.479521 \nL 296.228491 162.461481 \nL 302.805792 153.494932 \nL 309.251493 143.659393 \nL 315.399542 133.101895 \nL 321.06045 122.04451 \nL 326.028574 110.784299 \nL 330.093325 99.682679 \nL 333.053911 89.142662 \nL 334.736265 79.574751 \nL 335.010168 71.355852 \nL 333.803696 64.788097 \nL 331.112528 60.065734 \nL 327.002224 57.257184 \nL 321.602857 56.305673 \nL 315.097027 57.047204 \nL 307.703325 59.240864 \nL 299.658044 62.604147 \nL 291.197768 66.846242 \nL 282.544865 71.694582 \nL 273.896974 76.912319 \nL 265.420672 82.306727 \nL 257.248975 87.730568 \nL 249.481771 93.078348 \nL 242.188355 98.279972 \nL 235.411182 103.293402 \nL 229.170176 108.097583 \nL 223.467067 112.686208 \nL 218.289472 117.062707 \nL 213.614515 121.236361 \nL 209.411919 125.21954 \nL 205.64656 129.025754 \nL 202.280516 132.668379 \nL 199.274661 136.159936 \nL 196.589878 139.511685 \nL 194.187937 142.733449 \nL 190.087579 148.819111 \nL 186.703865 154.467895 \nL 182.467748 162.188627 \nL 178.670163 169.043002 \nL 176.121456 173.124644 \nL 173.404571 176.791714 \nL 171.94551 178.458372 \nL 170.400279 180.005316 \nL 168.754902 181.42443 \nL 166.995549 182.705954 \nL 165.108467 183.838278 \nL 163.079944 184.807673 \nL 160.896311 185.598037 \nL 158.544015 186.190601 \nL 156.009722 186.563646 \nL 153.280537 186.692245 \nL 150.344279 186.548004 \nL 147.189888 186.098912 \nL 143.807969 185.309308 \nL 140.191463 184.140037 \nL 136.336514 182.548878 \nL 132.243525 180.491351 \nL 127.918407 177.922071 \nL 123.374032 174.796671 \nL 118.63184 171.074584 \nL 113.723566 166.722634 \nL 108.692959 161.719579 \nL 103.597358 156.061485 \nL 98.508844 149.767658 \nL 93.514759 142.886615 \nL 88.717219 135.50143 \nL 84.231324 127.733261 \nL 80.181743 119.742031 \nL 76.697616 111.72305 \nL 73.905771 103.898876 \nL 71.922762 96.506366 \nL 70.846303 89.779763 \nL 70.747158 83.931822 \nL 71.662506 79.135696 \nL 73.59179 75.51041 \nL 76.495728 73.112376 \nL 80.298709 71.934298 \nL 84.89422 71.911155 \nL 90.152578 72.931905 \nL 95.929842 74.854288 \nL 102.076921 77.520369 \nL 108.447766 80.7705 \nL 114.906159 84.45431 \nL 121.330549 88.438106 \nL 127.617114 92.608834 \nL 133.681044 96.875137 \nL 139.456461 101.166369 \nL 144.89531 105.430268 \nL 149.965579 109.63001 \nL 154.649144 113.74116 \nL 158.939494 117.748784 \nL 162.839482 121.644929 \nL 166.359248 125.426612 \nL 169.514349 129.094138 \nL 172.32415 132.649919 \nL 174.810474 136.097566 \nL 176.99648 139.441277 \nL 178.905781 142.685433 \nL 180.561748 145.834318 \nL 181.986994 148.891989 \nL 183.202987 151.86219 \nL 184.229788 154.748339 \nL 185.085888 157.553507 \nL 185.78811 160.280466 \nL 186.789719 165.509424 \nL 187.335526 170.452122 \nL 187.501043 175.122052 \nL 187.338759 179.529779 \nL 186.880691 183.68296 \nL 186.140662 187.586064 \nL 185.116056 191.239666 \nL 183.788942 194.639222 \nL 182.126542 197.773253 \nL 181.155277 199.234569 \nL 180.081065 200.620636 \nL 178.895472 201.926666 \nL 177.589017 203.146698 \nL 176.151132 204.27336 \nL 174.570129 205.297615 \nL 172.833167 206.20845 \nL 170.926234 206.99251 \nL 168.834149 207.633673 \nL 166.540597 208.112564 \nL 164.028201 208.406005 \nL 161.278663 208.486407 \nL 158.272988 208.321104 \nL 154.991828 207.871674 \nL 151.415964 207.093267 \nL 147.526987 205.93401 \nL 143.308229 204.334609 \nL 138.746001 202.228278 \nL 133.831178 199.541201 \nL 128.561231 196.193799 \nL 122.942706 192.103155 \nL 116.994207 187.186973 \nL 110.749785 181.36948 \nL 104.262666 174.589627 \nL 97.608978 166.81173 \nL 90.891062 158.03823 \nL 84.239802 148.323785 \nL 77.81505 137.788821 \nL 71.803335 126.630028 \nL 66.411944 115.12424 \nL 61.858898 103.622318 \nL 58.358893 92.530417 \nL 56.106137 82.278397 \nL 55.256079 73.278444 \nL 55.90867 65.880272 \nL 58.096126 60.331595 \nL 61.777532 56.752367 \nL 66.841533 55.128051 \nL 73.116624 55.322564 \nL 80.387203 57.106772 \nL 88.412548 60.195149 \nL 96.945736 64.282634 \nL 105.750153 69.075662 \nL 114.611974 74.313825 \nL 123.348203 79.781653 \nL 131.81047 85.312032 \nL 139.885375 90.783508 \nL 147.492358 96.114035 \nL 154.580043 101.253336 \nL 161.121806 106.175114 \nL 167.111173 110.870164 \nL 172.557459 115.340698 \nL 177.481817 119.595895 \nL 181.913872 123.648712 \nL 185.888898 127.51362 \nL 189.445561 131.205115 \nL 192.624141 134.736851 \nL 195.465186 138.12112 \nL 198.008517 141.368667 \nL 202.35374 147.488608 \nL 205.942844 153.151946 \nL 210.439882 160.861477 \nL 214.472992 167.663618 \nL 217.178584 171.683593 \nL 218.58924 173.530514 \nL 220.05975 175.26245 \nL 221.605257 176.87319 \nL 223.240423 178.355121 \nL 224.979546 179.699087 \nL 226.836654 180.894161 \nL 228.82555 181.927433 \nL 230.959829 182.783792 \nL 233.252831 183.445652 \nL 235.717541 183.892702 \nL 238.366429 184.101684 \nL 241.211173 184.046172 \nL 244.262306 183.696455 \nL 247.528741 183.019513 \nL 251.01714 181.979178 \nL 254.731141 180.536526 \nL 258.670415 178.650634 \nL 262.829529 176.279761 \nL 267.196664 173.383114 \nL 271.752139 169.923269 \nL 276.466888 165.869378 \nL 281.300899 161.201176 \nL 286.201823 155.913706 \nL 291.10385 150.022575 \nL 295.927219 143.569319 \nL 300.578538 136.626229 \nL 304.952258 129.299785 \nL 308.933503 121.731706 \nL 312.402468 114.096592 \nL 315.240243 106.59552 \nL 317.335864 99.4453 \nL 318.593937 92.864131 \nL 318.942161 87.055027 \nL 318.337665 82.189282 \nL 316.77143 78.392493 \nL 314.269967 75.735305 \nL 310.894048 74.230373 \nL 306.734572 73.835799 \nL 301.906174 74.463894 \nL 296.539427 75.99368 \nL 290.772591 78.284625 \nL 284.74382 81.189756 \nL 278.584494 84.566529 \nL 272.414104 88.284845 \nL 266.336844 92.23176 \nL 260.43979 96.313583 \nL 254.792443 100.455828 \nL 249.447352 104.601579 \nL 244.441476 108.709224 \nL 239.797993 112.749719 \nL 235.528345 116.70396 \nL 231.634314 120.560402 \nL 228.10999 124.313005 \nL 224.9436 127.959582 \nL 222.119096 131.500523 \nL 219.617526 134.937833 \nL 217.41819 138.274419 \nL 215.499555 141.513654 \nL 213.840008 144.659005 \nL 212.418419 147.713864 \nL 211.214575 150.681423 \nL 210.209488 153.564608 \nL 209.385606 156.366061 \nL 208.726945 159.088128 \nL 208.219159 161.73288 \nL 207.849566 164.302103 \nL 207.482442 169.219834 \nL 207.556391 173.850556 \nL 208.026252 178.199342 \nL 208.868885 182.266643 \nL 210.081343 186.047186 \nL 210.830503 187.826298 \nL 211.679478 189.528222 \nL 212.633048 191.149763 \nL 213.697091 192.686864 \nL 214.878579 194.134457 \nL 216.185588 195.486279 \nL 217.627292 196.734661 \nL 219.213978 197.870281 \nL 220.957025 198.881878 \nL 222.868897 199.755902 \nL 224.963094 200.476157 \nL 227.254075 201.023351 \nL 229.757143 201.374636 \nL 232.488258 201.503092 \nL 235.463763 201.377192 \nL 238.700009 200.960282 \nL 242.21283 200.210106 \nL 246.016828 199.078461 \nL 250.124452 197.511068 \nL 254.544797 195.447802 \nL 259.282092 192.823467 \nL 264.333833 189.56934 \nL 269.688546 185.615774 \nL 275.323204 180.896119 \nL 281.200355 175.352287 \nL 287.265096 168.942107 \nL 293.442218 161.648449 \nL 299.633844 153.489735 \nL 305.718127 144.530967 \nL 311.549643 134.893675 \nL 316.962181 124.762738 \nL 321.774429 114.387392 \nL 325.798963 104.074113 \nL 328.85415 94.169838 \nL 330.778207 85.035758 \nL 331.443786 77.014392 \nL 330.770996 70.394917 \nL 328.736773 65.383131 \nL 325.378773 62.081829 \nL 320.793074 60.485693 \nL 315.125944 60.490747 \nL 308.561129 61.915647 \nL 301.304732 64.529608 \nL 293.569869 68.081171 \nL 285.563028 72.32319 \nL 277.473373 77.031189 \nL 269.46552 82.01436 \nL 261.675622 87.119896 \nL 254.210411 92.232311 \nL 247.14835 97.269463 \nL 240.542235 102.17701 \nL 234.42264 106.922412 \nL 228.801628 111.489358 \nL 223.676429 115.872915 \nL 219.032839 120.075697 \nL 214.848224 124.104878 \nL 211.094073 127.97007 \nL 207.738102 131.68184 \nL 204.745943 135.25075 \nL 202.082465 138.686787 \nL 199.712766 141.999024 \nL 197.602905 145.195516 \nL 195.720404 148.283246 \nL 192.516686 154.155472 \nL 189.880099 159.653093 \nL 186.582155 167.250348 \nL 183.618909 174.107193 \nL 181.621625 178.271593 \nL 179.482222 182.101102 \nL 177.102194 185.575663 \nL 175.791814 187.169834 \nL 174.384975 188.661123 \nL 172.869222 190.042293 \nL 171.231747 191.304536 \nL 169.459319 192.43723 \nL 167.538238 193.427636 \nL 165.454326 194.26059 \nL 163.192947 194.918132 \nL 160.739089 195.379109 \nL 158.077512 195.618759 \nL 155.192971 195.608289 \nL 152.070559 195.314468 \nL 148.696163 194.699298 \nL 145.057099 193.719785 \nL 141.142926 192.327936 \nL 136.946499 190.471083 \nL 132.465283 188.092662 \nL 127.702949 185.133658 \nL 122.671264 181.534931 \nL 117.392262 177.240601 \nL 111.900622 172.202746 \nL 106.246119 166.387477 \nL 100.49591 159.782404 \nL 94.736434 152.405075 \nL 89.074374 144.31181 \nL 83.636286 135.605603 \nL 78.566342 126.441681 \nL 74.021717 117.02861 \nL 70.165488 107.623243 \nL 67.15707 98.518301 \nL 65.140881 90.022482 \nL 64.234389 82.435003 \nL 64.517034 76.01783 \nL 66.021757 70.970304 \nL 68.730541 67.410836 \nL 72.574777 65.368937 \nL 77.440569 64.788819 \nL 83.178003 65.5431 \nL 89.613035 67.453398 \nL 96.560217 70.31327 \nL 103.834706 73.909865 \nL 111.262288 78.041299 \nL 118.686825 82.528544 \nL 125.974904 87.221779 \nL 133.017959 92.002191 \nL 139.732299 96.780341 \nL 146.057629 101.492577 \nL 151.954605 106.096479 \nL 157.401878 110.566253 \nL 162.392978 114.888476 \nL 166.933294 119.058472 \nL 171.037319 123.077401 \nL 174.726206 126.950061 \nL 178.025704 130.683264 \nL 180.964444 134.284713 \nL 183.572568 137.762296 \nL 185.880654 141.123593 \nL 187.918897 144.375625 \nL 189.716516 147.524766 \nL 191.301334 150.57669 \nL 193.935395 156.40831 \nL 196.008279 161.903698 \nL 197.677704 167.08846 \nL 199.704521 174.325637 \nL 202.614459 185.060614 \nL 203.834879 188.915218 \nL 205.183485 192.52357 \nL 206.72143 195.882392 \nL 208.512524 198.981637 \nL 209.524489 200.428313 \nL 210.626548 201.801906 \nL 211.828872 203.097918 \nL 213.142389 204.310711 \nL 214.578865 205.433287 \nL 216.15099 206.457039 \nL 217.872446 207.371436 \nL 219.757962 208.163667 \nL 221.823338 208.81823 \nL 224.085463 209.31644 \nL 226.562252 209.635889 \nL 229.272557 209.749819 \nL 232.235974 209.62646 \nL 235.47255 209.228309 \nL 239.002348 208.511422 \nL 242.844801 207.424762 \nL 247.017864 205.909707 \nL 251.536837 203.899825 \nL 256.41284 201.321158 \nL 261.650863 198.093267 \nL 267.247319 194.131336 \nL 273.187127 189.349789 \nL 279.440265 183.667835 \nL 285.95803 177.017312 \nL 292.669073 169.353088 \nL 299.475813 160.665853 \nL 306.25166 150.996611 \nL 312.839959 140.451206 \nL 319.055579 129.212371 \nL 324.690039 117.545854 \nL 329.520874 105.796796 \nL 333.325337 94.373395 \nL 335.897613 83.71675 \nL 337.067818 74.259444 \nL 336.719948 66.378781 \nL 334.805852 60.353579 \nL 331.352419 56.333795 \nL 326.460517 54.329365 \nL 320.295659 54.220167 \nL 313.072261 55.783318 \nL 305.034233 58.730651 \nL 296.435104 62.747775 \nL 287.520339 67.527844 \nL 278.513639 72.795801 \nL 269.607879 78.322247 \nL 260.960552 83.928059 \nL 252.692966 89.482285 \nL 244.892146 94.89596 \nL 237.614492 100.114153 \nL 230.890291 105.107774 \nL 224.728505 109.86622 \nL 219.121325 114.391268 \nL 214.048313 118.692324 \nL 209.479964 122.782915 \nL 205.38067 126.678272 \nL 201.71112 130.393708 \nL 198.430168 133.943656 \nL 195.496275 137.341112 \nL 192.868554 140.597419 \nL 188.375575 146.72343 \nL 184.65972 152.379567 \nL 174.409478 168.827864 \nL 171.518751 172.559622 \nL 169.98827 174.24742 \nL 168.380238 175.807787 \nL 166.679777 177.232393 \nL 164.872459 178.511281 \nL 162.944225 179.632641 \nL 160.881354 180.582631 \nL 158.67048 181.345111 \nL 156.298643 181.901445 \nL 153.753443 182.23027 \nL 151.023238 182.3073 \nL 148.097462 182.105197 \nL 144.96702 181.593534 \nL 141.624846 180.738905 \nL 138.066568 179.50522 \nL 134.291359 177.854332 \nL 130.30292 175.747032 \nL 126.110654 173.144481 \nL 121.730975 170.010321 \nL 117.188695 166.313392 \nL 112.518502 162.031195 \nL 107.766292 157.15405 \nL 102.990302 151.689842 \nL 98.261799 145.668934 \nL 93.665028 139.148881 \nL 89.296288 132.218123 \nL 85.261738 124.997894 \nL 81.673889 117.641305 \nL 78.646679 110.328979 \nL 76.289354 103.260786 \nL 74.699503 96.643895 \nL 73.955965 90.678204 \nL 74.112367 85.540917 \nL 75.192127 81.37226 \nL 77.185705 78.264788 \nL 80.050462 76.257793 \nL 83.713298 75.33752 \nL 88.075609 75.442976 \nL 93.019994 76.47581 \nL 98.417806 78.312575 \nL 104.136727 80.817262 \nL 110.047577 83.852569 \nL 116.029874 87.288701 \nL 121.975912 91.009448 \nL 127.793271 94.915531 \nL 133.40596 98.925586 \nL 138.754384 102.975554 \nL 143.794474 107.016933 \nL 148.496213 111.014457 \nL 152.841844 114.943674 \nL 156.823937 118.788583 \nL 160.443476 122.539551 \nL 163.708055 126.191562 \nL 166.630244 129.742831 \nL 169.226166 133.193698 \nL 171.514275 136.545836 \nL 173.514353 139.801678 \nL 175.246691 142.964006 \nL 176.731443 146.035671 \nL 177.98813 149.019457 \nL 179.035263 151.917938 \nL 179.89009 154.733452 \nL 180.568403 157.468069 \nL 181.084439 160.123575 \nL 181.450815 162.701463 \nL 181.678516 165.202948 \nL 181.776901 167.628951 \nL 181.753741 169.98011 \nL 181.615264 172.256728 \nL 181.366204 174.458805 \nL 181.009862 176.585952 \nL 180.548153 178.63738 \nL 179.981664 180.611845 \nL 179.30969 182.507561 \nL 178.530286 184.322142 \nL 177.640285 186.052487 \nL 176.635335 187.694668 \nL 175.509917 189.243783 \nL 174.257354 190.693788 \nL 172.869842 192.037317 \nL 171.338455 193.265443 \nL 169.653181 194.367413 \nL 167.802951 195.330353 \nL 165.775701 196.138934 \nL 163.558464 196.774976 \nL 161.137495 197.217043 \nL 158.498459 197.43999 \nL 155.626709 197.414524 \nL 152.507638 197.106738 \nL 149.12718 196.477744 \nL 145.472465 195.483391 \nL 141.532672 194.074209 \nL 137.300123 192.195661 \nL 132.771622 189.788892 \nL 127.950146 186.792123 \nL 122.846796 183.142972 \nL 117.483094 178.781902 \nL 111.893469 173.657032 \nL 106.12791 167.730473 \nL 100.25443 160.986143 \nL 94.361171 153.438746 \nL 88.557558 145.143244 \nL 82.974065 136.203506 \nL 77.760025 126.778521 \nL 73.078925 117.083988 \nL 69.101005 107.387375 \nL 65.99322 97.99492 \nL 63.907221 89.230674 \nL 62.966644 81.409198 \nL 63.255265 74.805798 \nL 64.807918 69.629292 \nL 67.605723 66.002277 \nL 71.576531 63.952796 \nL 76.600611 63.418508 \nL 82.520622 64.261771 \nL 89.154324 66.291927 \nL 96.30811 69.290068 \nL 103.789689 73.032078 \nL 111.418575 77.306912 \nL 119.033789 81.928836 \nL 126.498552 86.743791 \nL 133.702293 91.630722 \nL 140.560511 96.499583 \nL 147.013044 101.287234 \nL 153.021384 105.952509 \nL 158.565515 110.471192 \nL 163.640602 114.831558 \nL 168.253833 119.030588 \nL 172.421549 123.07095 \nL 176.166726 126.958754 \nL 179.516857 130.701932 \nL 182.502211 134.309111 \nL 185.154447 137.788897 \nL 187.505531 141.149444 \nL 189.586929 144.398207 \nL 191.429019 147.541886 \nL 193.060685 150.586371 \nL 195.799428 156.397679 \nL 197.997497 161.865668 \nL 199.819208 167.015372 \nL 205.775026 184.727162 \nL 207.395013 188.464592 \nL 209.223194 191.918984 \nL 211.335306 195.073165 \nL 212.522805 196.529047 \nL 213.812195 197.897595 \nL 215.214929 199.172393 \nL 216.743181 200.345559 \nL 218.40991 201.40746 \nL 220.228917 202.346416 \nL 222.214889 203.148332 \nL 224.383393 203.796288 \nL 226.750849 204.270058 \nL 229.334439 204.54561 \nL 232.151941 204.594514 \nL 235.22148 204.38337 \nL 238.561136 203.873204 \nL 242.188412 203.018926 \nL 246.119488 201.76893 \nL 250.368233 200.064901 \nL 254.944915 197.842055 \nL 259.854555 195.029953 \nL 265.094887 191.55418 \nL 270.653916 187.339227 \nL 276.507031 182.312877 \nL 282.613859 176.412436 \nL 288.91492 169.593032 \nL 295.328444 161.837917 \nL 301.747812 153.170291 \nL 308.04023 143.665664 \nL 314.047353 133.46278 \nL 319.58866 122.770669 \nL 324.468199 111.868778 \nL 328.48497 101.097509 \nL 331.44656 90.837603 \nL 333.184961 81.479084 \nL 333.572562 73.383443 \nL 332.535951 66.845273 \nL 330.065084 62.060624 \nL 326.216057 59.10877 \nL 321.106817 57.950833 \nL 314.906564 58.444686 \nL 307.820686 60.371744 \nL 300.073723 63.469393 \nL 291.892816 67.462424 \nL 283.493608 72.088795 \nL 275.069739 77.117339 \nL 266.786237 82.357023 \nL 258.77654 87.659352 \nL 251.142432 92.915794 \nL 243.956075 98.052265 \nL 237.263342 103.022534 \nL 231.087783 107.80151 \nL 225.434733 112.379315 \nL 220.29522 116.756345 \nL 215.6495 120.939443 \nL 211.4701 124.939039 \nL 207.724357 128.767179 \nL 204.37648 132.436168 \nL 201.389174 135.957776 \nL 198.72488 139.342757 \nL 196.346695 142.600641 \nL 194.219022 145.739684 \nL 190.581803 151.688046 \nL 187.567103 157.230471 \nL 179.124618 173.717987 \nL 176.692452 177.601373 \nL 175.395547 179.39491 \nL 174.026438 181.083724 \nL 172.571687 182.661924 \nL 171.01794 184.122281 \nL 169.351821 185.456024 \nL 167.559843 186.652628 \nL 165.628364 187.699556 \nL 163.543569 188.581965 \nL 161.291495 189.282416 \nL 158.858115 189.780526 \nL 156.229492 190.052649 \nL 153.392001 190.071535 \nL 150.332673 189.806064 \nL 147.039655 189.221029 \nL 143.502807 188.277086 \nL 139.714486 186.930906 \nL 135.670531 185.135649 \nL 131.37146 182.841887 \nL 126.823901 179.999131 \nL 122.042248 176.558116 \nL 117.050533 172.473994 \nL 111.88439 167.710589 \nL 106.593017 162.245725 \nL 101.240946 156.077532 \nL 95.909322 149.231356 \nL 90.696368 141.766671 \nL 85.716622 133.782984 \nL 81.098598 125.423439 \nL 76.980533 116.874731 \nL 73.50411 108.361953 \nL 70.806357 100.137733 \nL 69.010272 92.465776 \nL 68.215091 85.600238 \nL 68.487373 79.763792 \nL 69.854256 75.127522 \nL 72.299894 71.796427 \nL 75.765747 69.802752 \nL 80.154736 69.10821 \nL 85.338609 69.614111 \nL 91.167525 71.176996 \nL 97.480439 73.626732 \nL 104.115112 76.783968 \nL 110.916699 80.474769 \nL 117.744379 84.541201 \nL 124.475761 88.847653 \nL 131.009195 93.28333 \nL 137.2643 97.761892 \nL 143.181134 102.219211 \nL 148.718424 106.610037 \nL 153.851255 110.904394 \nL 158.568511 115.084129 \nL 162.870316 119.139758 \nL 166.765629 123.067948 \nL 170.270056 126.869459 \nL 173.40396 130.547625 \nL 176.190864 134.107235 \nL 178.65614 137.553742 \nL 180.825951 140.892769 \nL 182.726434 144.12979 \nL 184.383083 147.269945 \nL 185.820293 150.317954 \nL 187.061052 153.278103 \nL 188.126738 156.154248 \nL 189.809771 161.668087 \nL 191.005653 166.883354 \nL 191.823665 171.81983 \nL 192.3487 176.494339 \nL 192.644585 180.921589 \nL 192.757468 185.114738 \nL 192.649308 190.991243 \nL 192.255343 196.40308 \nL 191.586004 201.380151 \nL 190.973973 204.468409 \nL 190.209649 207.378547 \nL 189.267709 210.11278 \nL 188.114523 212.66998 \nL 186.706983 215.04432 \nL 184.990891 217.223216 \nL 183.996671 218.232874 \nL 182.898901 219.184295 \nL 181.686703 220.072409 \nL 180.348044 220.890851 \nL 178.869653 221.6317 \nL 177.236917 222.285133 \nL 175.433802 222.839033 \nL 173.442778 223.27851 \nL 171.244755 223.585345 \nL 168.819067 223.737307 \nL 166.143501 223.707395 \nL 163.194391 223.462938 \nL 159.946827 222.964605 \nL 156.374996 222.165323 \nL 152.452724 221.00916 \nL 148.154283 219.430238 \nL 143.455531 217.351852 \nL 138.335491 214.685948 \nL 132.778483 211.333339 \nL 126.776884 207.185061 \nL 120.334657 202.125426 \nL 113.47169 196.03754 \nL 106.228858 188.811981 \nL 98.673691 180.359361 \nL 90.906207 170.62713 \nL 83.064132 159.62025 \nL 75.326445 147.424014 \nL 67.913852 134.225877 \nL 61.084493 120.330871 \nL 55.123474 106.164312 \nL 50.325506 92.255283 \nL 46.971203 79.197336 \nL 45.299402 67.588286 \nL 45.479666 57.957844 \nL 47.590045 50.69815 \nL 51.604841 46.013523 \nL 57.395251 43.902156 \nL 64.743106 44.172977 \nL 73.364492 46.491036 \nL 82.938704 50.438141 \nL 93.137166 55.573434 \nL 103.64812 61.482748 \nL 114.194608 67.810787 \nL 124.54511 74.276146 \nL 143.978364 86.860951 \nL 161.044477 98.320805 \nL 175.439482 108.416248 \nL 181.652937 112.974101 \nL 187.252135 117.235796 \nL 192.280347 121.227412 \nL 196.786124 124.974399 \nL 200.820654 128.500083 \nL 204.435781 131.824936 \nL 210.610237 137.938482 \nL 215.692609 143.417682 \nL 225.724164 154.649591 \nL 229.33703 158.167133 \nL 231.15893 159.703056 \nL 233.018129 161.081404 \nL 234.932493 162.293589 \nL 236.918135 163.329539 \nL 238.98949 164.177656 \nL 241.159332 164.8248 \nL 243.438761 165.256302 \nL 245.837102 165.456002 \nL 248.361748 165.406353 \nL 251.017946 165.088619 \nL 253.808479 164.483173 \nL 256.733312 163.569939 \nL 259.789133 162.329016 \nL 262.968848 160.741496 \nL 266.261009 158.790526 \nL 269.64925 156.462615 \nL 273.111687 153.749212 \nL 276.620409 150.648485 \nL 280.141082 147.167273 \nL 283.632724 143.323096 \nL 287.047791 139.146031 \nL 290.332639 134.680275 \nL 293.428382 129.985074 \nL 296.272339 125.134805 \nL 298.79996 120.217901 \nL 300.947306 115.334466 \nL 302.653901 110.592513 \nL 303.865855 106.102996 \nL 304.538991 101.973995 \nL 304.6417 98.304483 \nL 304.157233 95.178485 \nL 303.085186 92.660194 \nL 301.441988 90.79069 \nL 299.26031 89.586562 \nL 296.587464 89.040588 \nL 293.482947 89.124174 \nL 290.015365 89.791278 \nL 286.259063 90.983056 \nL 282.290716 92.632737 \nL 278.186192 94.670304 \nL 274.017858 97.026327 \nL 269.852438 99.63512 \nL 265.74951 102.436772 \nL 261.760585 105.378376 \nL 257.928717 108.4145 \nL 254.288591 111.507057 \nL 250.866936 114.624819 \nL 247.683184 117.742647 \nL 244.750296 120.840628 \nL 242.075665 123.903192 \nL 239.662021 126.918301 \nL 237.508341 129.876664 \nL 235.61067 132.771107 \nL 233.962884 135.596026 \nL 232.557347 138.346936 \nL 231.385504 141.020085 \nL 230.438362 143.612186 \nL 229.706889 146.120178 \nL 229.182348 148.541023 \nL 228.856553 150.871556 \nL 228.72206 153.108348 \nL 228.77232 155.24758 \nL 229.001771 157.284938 \nL 229.405899 159.215501 \nL 229.981266 161.033626 \nL 230.725505 162.732843 \nL 231.637282 164.305732 \nL 232.716255 165.743791 \nL 233.962982 167.037309 \nL 235.378812 168.175248 \nL 236.965753 169.145075 \nL 238.726312 169.932674 \nL 240.663271 170.522217 \nL 242.779458 170.896089 \nL 245.077431 171.034834 \nL 247.559127 170.917199 \nL 250.225433 170.52025 \nL 253.075687 169.819637 \nL 256.107094 168.789995 \nL 259.31407 167.405576 \nL 262.687483 165.641157 \nL 266.213852 163.473215 \nL 269.87449 160.881495 \nL 273.64462 157.850929 \nL 277.492568 154.373887 \nL 281.379063 150.452775 \nL 285.256768 146.102707 \nL 289.07012 141.354226 \nL 292.755682 136.255616 \nL 296.24306 130.874518 \nL 299.456518 125.298413 \nL 302.317333 119.633574 \nL 304.746921 114.002148 \nL 306.6705 108.537275 \nL 308.021216 103.376426 \nL 308.744299 98.653455 \nL 308.800831 94.49008 \nL 308.170836 90.987863 \nL 306.855127 88.221742 \nL 304.875871 86.235801 \nL 302.275592 85.042009 \nL 299.114822 84.621727 \nL 295.468631 84.929828 \nL 291.422408 85.90051 \nL 287.06734 87.453971 \nL 282.496012 89.503148 \nL 277.798491 91.959705 \nL 273.059048 94.738822 \nL 268.353773 97.762728 \nL 263.74901 100.962735 \nL 259.300551 104.280216 \nL 255.05353 107.666604 \nL 251.042817 111.082737 \nL 247.2938 114.497854 \nL 243.823412 117.888355 \nL 240.641269 121.236542 \nL 237.750879 124.529445 \nL 235.150794 127.757754 \nL 232.835695 130.914933 \nL 230.797385 133.99645 \nL 229.025648 136.999199 \nL 227.509003 139.921032 \nL 226.235332 142.760382 \nL 225.192382 145.516005 \nL 224.368198 148.186769 \nL 223.751441 150.771488 \nL 223.331638 153.268783 \nL 223.099375 155.676992 \nL 223.046419 157.994091 \nL 223.165807 160.217592 \nL 223.451897 162.344454 \nL 223.900385 164.371001 \nL 224.508305 166.292814 \nL 225.274001 168.10464 \nL 226.197089 169.800266 \nL 227.278397 171.372357 \nL 228.51989 172.812354 \nL 229.924589 174.110252 \nL 231.496453 175.25448 \nL 233.240249 176.23167 \nL 235.161379 177.026489 \nL 237.265692 177.621438 \nL 239.559221 177.996697 \nL 242.047884 178.12996 \nL 244.73711 177.996393 \nL 247.631368 177.568605 \nL 250.733618 176.816823 \nL 254.044637 175.70922 \nL 257.562241 174.212496 \nL 261.280353 172.292792 \nL 265.18799 169.917008 \nL 269.268118 167.0546 \nL 273.496424 163.679936 \nL 277.840133 159.775202 \nL 282.256878 155.333854 \nL 286.693797 150.364468 \nL 291.087009 144.89475 \nL 295.361682 138.975317 \nL 299.432845 132.682639 \nL 303.207214 126.120584 \nL 306.586063 119.419775 \nL 309.469242 112.734243 \nL 311.760182 106.235034 \nL 313.371575 100.100909 \nL 314.231255 94.506839 \nL 314.287697 89.611491 \nL 313.514403 85.545439 \nL 311.91265 82.40158 \nL 309.512135 80.229391 \nL 306.369466 79.033661 \nL 302.564567 78.777624 \nL 298.195572 79.389872 \nL 293.372697 80.773597 \nL 288.211921 82.816751 \nL 282.828991 85.401678 \nL 277.334281 88.413196 \nL 271.82878 91.744747 \nL 266.401377 95.302162 \nL 261.127268 99.005656 \nL 256.067498 102.79 \nL 251.269267 106.603757 \nL 246.766905 110.4077 \nL 242.583208 114.172947 \nL 238.730992 117.879045 \nL 235.214734 121.512141 \nL 232.032164 125.063381 \nL 229.175745 128.527587 \nL 226.634023 131.902165 \nL 224.392789 135.18629 \nL 222.436081 138.380245 \nL 220.747013 141.484991 \nL 219.30844 144.501801 \nL 218.103506 147.432061 \nL 217.116041 150.277111 \nL 216.330884 153.038121 \nL 215.734101 155.716048 \nL 215.313144 158.311559 \nL 215.056942 160.825014 \nL 214.955961 163.256433 \nL 215.002225 165.605445 \nL 215.189311 167.871261 \nL 215.512328 170.052627 \nL 215.967887 172.147748 \nL 216.554062 174.154248 \nL 217.27034 176.06905 \nL 218.117583 177.888306 \nL 219.097983 179.607255 \nL 220.215006 181.220094 \nL 221.473347 182.719797 \nL 222.878878 184.097945 \nL 224.43858 185.344507 \nL 226.160474 186.447584 \nL 228.053528 187.393161 \nL 230.127525 188.164795 \nL 232.392919 188.743302 \nL 234.860622 189.106453 \nL 237.541731 189.228625 \nL 240.447168 189.080541 \nL 243.587224 188.629031 \nL 246.970974 187.836933 \nL 250.605532 186.663169 \nL 254.495122 185.063103 \nL 258.63998 182.989282 \nL 263.034986 180.392707 \nL 267.668126 177.224774 \nL 272.51874 173.44005 \nL 277.555611 169.000041 \nL 282.735048 163.877954 \nL 287.999094 158.064461 \nL 293.274062 151.574211 \nL 298.469796 144.452522 \nL 303.479908 136.781581 \nL 308.183479 128.68482 \nL 312.448431 120.328296 \nL 316.136882 111.917724 \nL 319.112325 103.690113 \nL 321.248295 95.899932 \nL 322.43777 88.800625 \nL 322.602189 82.623701 \nL 321.698973 77.558256 \nL 319.72627 73.734505 \nL 316.724256 71.214086 \nL 312.772635 69.988562 \nL 307.984727 69.986149 \nL 302.498964 71.084765 \nL 296.469074 73.128755 \nL 290.054093 75.946159 \nL 283.409377 79.36424 \nL 276.679303 83.221509 \nL 269.99204 87.375573 \nL 263.456401 91.70722 \nL 257.160588 96.121236 \nL 251.172422 100.544999 \nL 245.540682 104.925754 \nL 240.29712 109.22718 \nL 235.458857 113.425973 \nL 231.030881 117.508678 \nL 227.008465 121.468971 \nL 223.379404 125.305453 \nL 220.125987 129.01993 \nL 217.226691 132.616173 \nL 214.657592 136.098972 \nL 212.393516 139.47355 \nL 210.408947 142.745153 \nL 208.678723 145.918806 \nL 207.178563 148.999202 \nL 205.885435 151.990627 \nL 204.777806 154.896965 \nL 203.835795 157.721703 \nL 202.377755 163.138713 \nL 201.386827 168.263421 \nL 200.764885 173.113918 \nL 200.437525 177.705583 \nL 200.350914 182.051733 \nL 200.46871 186.164014 \nL 200.769391 190.052511 \nL 201.244138 193.72567 \nL 201.895329 197.190071 \nL 202.735651 200.449936 \nL 203.787814 203.506396 \nL 205.084824 206.356358 \nL 206.670798 208.990826 \nL 207.589291 210.22223 \nL 208.602301 211.392394 \nL 209.719136 212.497228 \nL 210.95013 213.531568 \nL 212.306714 214.48896 \nL 213.801494 215.361393 \nL 215.448322 216.138984 \nL 217.262364 216.809598 \nL 219.260154 217.358417 \nL 221.459624 217.767394 \nL 223.880097 218.014653 \nL 226.542236 218.073784 \nL 229.467913 217.913045 \nL 232.679976 217.494492 \nL 236.20188 216.773036 \nL 240.057134 215.695516 \nL 244.268492 214.199837 \nL 248.856834 212.214323 \nL 253.839646 209.657474 \nL 259.229025 206.438433 \nL 265.029086 202.458512 \nL 271.232738 197.614343 \nL 277.817793 191.80314 \nL 284.742471 184.930776 \nL 291.940458 176.923134 \nL 299.315986 167.740943 \nL 306.73951 157.397604 \nL 314.04499 145.978536 \nL 321.029945 133.659136 \nL 327.459644 120.717075 \nL 333.076514 107.533625 \nL 337.615394 94.579024 \nL 340.823971 82.379102 \nL 342.48657 71.464765 \nL 342.447768 62.311342 \nL 340.631804 55.27966 \nL 337.053808 50.572022 \nL 331.820218 48.213605 \nL 325.118312 48.062851 \nL 317.196796 49.846357 \nL 308.341379 53.208252 \nL 298.849529 57.761887 \nL 289.008237 63.133893 \nL 279.076995 68.995022 \nL 269.277008 75.076542 \nL 259.786203 81.17448 \nL 250.73889 87.145225 \nL 234.313926 98.375509 \nL 227.022559 103.560051 \nL 220.359022 108.447429 \nL 214.309307 113.047911 \nL 208.845918 117.378968 \nL 203.931982 121.461323 \nL 199.524589 125.316312 \nL 195.577432 128.964229 \nL 192.042823 132.423418 \nL 188.873208 135.709813 \nL 183.445506 141.815418 \nL 178.949502 147.3598 \nL 169.902407 158.995527 \nL 166.556926 162.760793 \nL 164.849899 164.439385 \nL 163.094433 165.97336 \nL 161.273135 167.354463 \nL 159.369894 168.572861 \nL 157.369785 169.617059 \nL 155.259035 170.473774 \nL 153.025031 171.127843 \nL 150.656379 171.562167 \nL 148.143047 171.75763 \nL 145.47658 171.693141 \nL 142.650386 171.345746 \nL 139.660123 170.690841 \nL 136.504189 169.702601 \nL 133.1843 168.35456 \nL 129.706178 166.620504 \nL 126.080305 164.475677 \nL 122.322777 161.898312 \nL 118.456144 158.871584 \nL 114.51026 155.385954 \nL 110.522998 151.441813 \nL 106.54079 147.052336 \nL 102.618793 142.246359 \nL 98.820627 137.070937 \nL 95.217509 131.5932 \nL 91.88664 125.901085 \nL 88.908851 120.102479 \nL 86.365409 114.322437 \nL 84.334215 108.698308 \nL 82.885497 103.372864 \nL 82.077451 98.486037 \nL 81.952146 94.165924 \nL 82.532236 90.520193 \nL 83.818806 87.629046 \nL 85.790703 85.540556 \nL 88.405411 84.26905 \nL 91.601444 83.796592 \nL 95.301905 84.07716 \nL 99.418891 85.04275 \nL 103.858239 86.610462 \nL 108.52416 88.689603 \nL 113.323387 91.188133 \nL 118.168601 94.017698 \nL 122.98099 97.097372 \nL 127.691903 100.355883 \nL 132.243673 103.732561 \nL 136.58974 107.177339 \nL 140.694236 110.650047 \nL 144.531163 114.119308 \nL 148.083305 117.561216 \nL 151.341035 120.958026 \nL 154.301052 124.296892 \nL 156.965181 127.568732 \nL 159.339228 130.767305 \nL 161.431968 133.888439 \nL 163.254237 136.92938 \nL 164.818161 139.888351 \nL 166.136514 142.764154 \nL 167.222184 145.555907 \nL 168.087744 148.26283 \nL 168.745121 150.884087 \nL 169.205341 153.418672 \nL 169.478339 155.865301 \nL 169.57283 158.222331 \nL 169.496217 160.487672 \nL 169.254548 162.65872 \nL 168.852488 164.732275 \nL 168.29333 166.704422 \nL 167.579009 168.570467 \nL 166.710147 170.324797 \nL 165.686096 171.96075 \nL 164.505013 173.47049 \nL 163.163938 174.84481 \nL 161.658885 176.072974 \nL 159.984966 177.142528 \nL 158.136535 178.039088 \nL 156.107353 178.746151 \nL 153.890831 179.244869 \nL 151.480275 179.513885 \nL 148.869237 179.52919 \nL 146.051933 179.26406 \nL 143.023736 178.689092 \nL 139.781797 177.7724 \nL 136.325793 176.480031 \nL 132.658788 174.776682 \nL 128.788233 172.626762 \nL 124.727111 169.995957 \nL 120.495175 166.853323 \nL 116.120228 163.17396 \nL 111.639412 158.942343 \nL 107.100326 154.156184 \nL 102.561915 148.830645 \nL 98.09482 143.002626 \nL 93.781056 136.734601 \nL 89.712807 130.11732 \nL 85.990089 123.270688 \nL 82.717217 116.342068 \nL 79.998112 109.501392 \nL 77.930609 102.933049 \nL 76.600273 96.824746 \nL 76.074164 91.354543 \nL 76.395422 86.677478 \nL 77.579266 82.913713 \nL 79.611004 80.139954 \nL 82.4464 78.385463 \nL 86.014354 77.63293 \nL 90.221548 77.82408 \nL 94.958529 78.868467 \nL 100.106415 80.654157 \nL 105.543523 83.058557 \nL 111.151364 85.958026 \nL 116.819482 89.235519 \nL 122.449028 92.785733 \nL 127.954954 96.518128 \nL 133.267045 100.357821 \nL 138.329906 104.245178 \nL 143.102208 108.13435 \nL 147.555409 111.991353 \nL 151.672162 115.791999 \nL 155.444617 119.519834 \nL 158.872693 123.164331 \nL 161.962452 126.719323 \nL 164.724621 130.181753 \nL 167.173284 133.550697 \nL 169.324758 136.826604 \nL 171.196657 140.010745 \nL 172.807126 143.104813 \nL 174.174228 146.110678 \nL 175.315467 149.030193 \nL 176.247431 151.865068 \nL 176.985522 154.616815 \nL 177.54378 157.286676 \nL 177.934761 159.875613 \nL 178.169467 162.384271 \nL 178.257321 164.812963 \nL 178.206158 167.161642 \nL 178.022253 169.429871 \nL 177.710344 171.616776 \nL 177.27368 173.721017 \nL 176.714059 175.740695 \nL 176.031879 177.673291 \nL 175.226181 179.515585 \nL 174.294691 181.263511 \nL 173.233861 182.912058 \nL 172.038913 184.455096 \nL 170.703879 185.885217 \nL 169.221645 187.193504 \nL 167.58401 188.369316 \nL 165.781745 189.400004 \nL 163.804694 190.270632 \nL 161.641879 190.963635 \nL 159.281671 191.458481 \nL 156.712 191.731297 \nL 153.920645 191.754526 \nL 150.895612 191.496597 \nL 147.625634 190.921681 \nL 144.100816 189.989565 \nL 140.313438 188.655746 \nL 136.258984 186.871837 \nL 131.937376 184.586417 \nL 127.354467 181.746487 \nL 122.523768 178.299715 \nL 117.468393 174.197609 \nL 112.223164 169.399849 \nL 106.836728 163.879731 \nL 101.373502 157.630755 \nL 95.915166 150.673937 \nL 90.561367 143.065281 \nL 85.429153 134.902368 \nL 80.65076 126.328673 \nL 76.369444 117.53413 \nL 72.733064 108.750418 \nL 69.885748 100.240034 \nL 67.95798 92.279263 \nL 67.05627 85.136463 \nL 67.253532 79.04852 \nL 68.581654 74.199002 \nL 71.027399 70.702048 \nL 74.532458 68.59471 \nL 78.997594 67.83889 \nL 84.290383 68.331869 \nL 90.255279 69.923028 \nL 96.724669 72.433225 \nL 103.529516 75.673571 \nL 110.508511 79.461126 \nL 117.515089 83.630257 \nL 124.422094 88.039276 \nL 131.124202 92.573017 \nL 137.538413 97.142309 \nL 143.60315 101.681465 \nL 149.276339 106.144713 \nL 154.532939 110.50222 \nL 159.362239 114.736392 \nL 163.765149 118.838603 \nL 167.751668 122.806438 \nL 171.338618 126.641628 \nL 174.54766 130.348391 \nL 177.403651 133.932322 \nL 179.933282 137.399587 \nL 182.164004 140.756419 \nL 184.123192 144.008802 \nL 185.837514 147.162314 \nL 187.332482 150.222028 \nL 188.632141 153.192513 \nL 189.758874 156.077883 \nL 191.574258 161.607569 \nL 192.922264 166.836212 \nL 193.919391 171.784497 \nL 194.657994 176.46998 \nL 195.433951 183.038656 \nL 196.106145 191.008624 \nL 197.354191 207.544231 \nL 198.037509 212.99816 \nL 198.730807 216.709188 \nL 199.65186 220.1147 \nL 200.434689 222.220528 \nL 201.39043 224.195271 \nL 202.560006 226.035734 \nL 203.993941 227.733858 \nL 205.754669 229.274389 \nL 207.919294 230.631337 \nL 209.181954 231.228644 \nL 210.5828 231.76262 \nL 212.137092 232.224168 \nL 213.861671 232.601968 \nL 215.775078 232.881988 \nL 217.897644 233.04688 \nL 220.251572 233.075275 \nL 222.860973 232.940926 \nL 225.75184 232.611723 \nL 228.951922 232.048535 \nL 232.49048 231.203926 \nL 236.397834 230.020741 \nL 240.704674 228.430652 \nL 245.441006 226.352757 \nL 250.634641 223.692472 \nL 256.309089 220.340996 \nL 262.480713 216.17585 \nL 269.155004 211.063122 \nL 276.321828 204.862285 \nL 283.949619 197.434632 \nL 291.978668 188.656378 \nL 300.313763 178.437262 \nL 308.817022 166.744827 \nL 317.302082 153.633078 \nL 325.531356 139.272131 \nL 333.218561 123.972783 \nL 340.038627 108.197414 \nL 345.646385 92.547917 \nL 349.704197 77.723755 \nL 351.915854 64.449994 \nL 352.061942 53.385132 \nL 350.029859 45.028058 \nL 345.831786 39.647501 \nL 339.606025 37.253096 \nL 331.601283 37.614304 \nL 322.147363 40.319052 \nL 311.618852 44.853173 \nL 300.398808 50.679587 \nL 288.848181 57.301323 \nL 277.284153 64.300799 \nL 255.101362 78.239745 \nL 226.393732 96.712945 \nL 210.94493 106.916047 \nL 198.335005 115.599064 \nL 188.195941 123.034013 \nL 180.076617 129.46612 \nL 173.523039 135.077889 \nL 165.733454 142.202837 \nL 161.395954 146.171842 \nL 157.414661 149.530564 \nL 155.48644 150.975643 \nL 153.567923 152.258569 \nL 151.638623 153.373145 \nL 149.680617 154.311944 \nL 147.678438 155.066387 \nL 145.618981 155.626839 \nL 143.491481 155.982736 \nL 141.287508 156.122773 \nL 139.001042 156.035084 \nL 136.628575 155.707526 \nL 134.169273 155.128064 \nL 131.625168 154.285191 \nL 129.00141 153.168524 \nL 126.3065 151.769484 \nL 123.552577 150.082105 \nL 120.755661 148.103944 \nL 117.935863 145.837102 \nL 115.117488 143.289274 \nL 112.329076 140.474805 \nL 109.603245 137.415643 \nL 106.976338 134.142073 \nL 104.487848 130.693201 \nL 102.179573 127.116937 \nL 100.094497 123.469457 \nL 98.275405 119.814035 \nL 96.763307 116.219255 \nL 95.595686 112.75654 \nL 94.804761 109.497279 \nL 94.41576 106.509579 \nL 94.445483 103.855089 \nL 94.901174 101.586005 \nL 95.779852 99.742703 \nL 97.068217 98.352138 \nL 98.743023 97.427152 \nL 100.772053 96.966721 \nL 103.115483 96.957145 \nL 105.727574 97.373836 \nL 108.558592 98.183675 \nL 111.556696 99.347465 \nL 114.669807 100.822394 \nL 117.847261 102.564326 \nL 121.04117 104.529661 \nL 124.207521 106.676806 \nL 127.306915 108.967209 \nL 130.304994 111.365984 \nL 133.172641 113.842188 \nL 135.885894 116.368849 \nL 138.425714 118.922748 \nL 140.777602 121.484105 \nL 142.931134 124.036189 \nL 144.879436 126.564864 \nL 146.618659 129.058179 \nL 148.147447 131.505957 \nL 149.466423 133.899403 \nL 150.577746 136.2308 \nL 151.484674 138.493206 \nL 152.191217 140.680187 \nL 152.701801 142.785635 \nL 153.021034 144.803545 \nL 153.153467 146.727857 \nL 153.10345 148.552338 \nL 152.874995 150.270423 \nL 152.471709 151.875101 \nL 151.896739 153.358828 \nL 151.152773 154.713425 \nL 150.242067 155.92997 \nL 149.166497 156.998755 \nL 147.927668 157.909204 \nL 146.527025 158.649852 \nL 144.966024 159.2083 \nL 143.246321 159.571275 \nL 141.370014 159.724679 \nL 139.339919 159.65372 \nL 137.159874 159.34314 \nL 134.835112 158.777481 \nL 132.372641 157.941525 \nL 129.781675 156.82083 \nL 127.074098 155.402428 \nL 124.26491 153.675678 \nL 121.372684 151.633257 \nL 118.419992 149.272331 \nL 115.433741 146.595838 \nL 112.445375 143.613763 \nL 109.490955 140.344487 \nL 106.610977 136.815897 \nL 103.849934 133.06622 \nL 101.255557 129.144462 \nL 98.877703 125.110152 \nL 96.766895 121.032367 \nL 94.972547 116.987948 \nL 93.54095 113.058817 \nL 92.51313 109.328617 \nL 91.922693 105.878814 \nL 91.793932 102.784623 \nL 92.140229 100.111094 \nL 92.963026 97.909853 \nL 94.251415 96.216678 \nL 95.98244 95.050304 \nL 98.122065 94.412499 \nL 100.626738 94.28924 \nL 103.445367 94.652937 \nL 106.52166 95.465209 \nL 109.796441 96.68013 \nL 113.209968 98.24729 \nL 116.703973 100.114685 \nL 120.223387 102.231163 \nL 123.717679 104.548196 \nL 127.141788 107.021208 \nL 130.456655 109.610306 \nL 133.629426 112.280557 \nL 136.633366 115.001968 \nL 139.447534 117.749183 \nL 142.056324 120.501015 \nL 144.448871 123.239935 \nL 146.618429 125.951504 \nL 148.561713 128.623827 \nL 150.278264 131.24706 \nL 151.76985 133.812958 \nL 153.039921 136.314481 \nL 154.093114 138.745443 \nL 154.934826 141.10025 \nL 155.570843 143.373657 \nL 156.007055 145.560543 \nL 156.249185 147.65575 \nL 156.302614 149.653937 \nL 156.172235 151.549425 \nL 155.862345 153.336084 \nL 155.376586 155.007227 \nL 154.717925 156.555472 \nL 153.888658 157.972668 \nL 152.890466 159.249769 \nL 151.724471 160.376763 \nL 150.391357 161.342581 \nL 148.891499 162.135026 \nL 147.225151 162.740728 \nL 145.392646 163.145154 \nL 143.394657 163.332608 \nL 141.232503 163.28636 \nL 138.90849 162.988805 \nL 136.426317 162.42174 \nL 133.791516 161.566783 \nL 131.011956 160.40592 \nL 128.098391 158.922269 \nL 125.065012 157.100999 \nL 121.930047 154.930501 \nL 118.716276 152.403726 \nL 115.451546 149.519752 \nL 112.169151 146.285439 \nL 108.908009 142.717146 \nL 105.712602 138.84231 \nL 102.632613 134.70072 \nL 99.722164 130.345341 \nL 97.038585 125.842353 \nL 94.64077 121.270268 \nL 92.587088 116.717954 \nL 90.932909 112.281517 \nL 89.727944 108.060189 \nL 89.013553 104.151399 \nL 88.820242 100.645553 \nL 89.165593 97.620943 \nL 90.052873 95.139381 \nL 91.470419 93.243124 \nL 93.391989 91.953263 \nL 95.777926 91.269837 \nL 98.577122 91.173502 \nL 101.72957 91.628518 \nL 105.169215 92.58647 \nL 108.826931 93.990431 \nL 112.633344 95.778972 \nL 116.521338 97.889769 \nL 120.428073 100.262512 \nL 124.296559 102.841036 \nL 128.076657 105.574713 \nL 131.725598 108.419155 \nL 135.208111 111.336352 \nL 138.496194 114.294449 \nL 141.568626 117.267186 \nL 144.410324 120.233253 \nL 147.011578 123.175551 \nL 149.36727 126.080454 \nL 151.476048 128.937143 \nL 153.339592 131.73699 \nL 154.961891 134.473051 \nL 156.348611 137.139587 \nL 157.506547 139.731735 \nL 158.443128 142.245181 \nL 159.166034 144.675916 \nL 159.68285 147.020035 \nL 160.000807 149.273548 \nL 160.126573 151.432246 \nL 160.066106 153.491578 \nL 159.824539 155.44652 \nL 159.40612 157.291436 \nL 158.814173 159.02001 \nL 158.051111 160.625096 \nL 157.118456 162.09862 \nL 156.016908 163.43146 \nL 154.746421 164.613329 \nL 153.306338 165.632664 \nL 151.695526 166.476515 \nL 149.91257 167.13048 \nL 147.956 167.578627 \nL 145.824561 167.803484 \nL 143.517525 167.78608 \nL 141.03508 167.506053 \nL 138.378784 166.941915 \nL 135.552046 166.071386 \nL 132.560729 164.871999 \nL 129.413779 163.321806 \nL 126.123923 161.400468 \nL 122.708403 159.090503 \nL 119.189714 156.378915 \nL 115.596284 153.259064 \nL 111.963081 149.732791 \nL 108.332002 145.812676 \nL 104.75203 141.524247 \nL 101.278983 136.907956 \nL 97.974791 132.020617 \nL 94.906236 126.935963 \nL 92.143036 121.744019 \nL 89.75537 116.549026 \nL 87.810859 111.465825 \nL 86.371146 106.614673 \nL 85.48841 102.114953 \nL 85.202012 98.078182 \nL 85.535715 94.601179 \nL 86.495694 91.760119 \nL 88.069642 89.606228 \nL 90.227112 88.163676 \nL 92.920997 87.429726 \nL 96.09008 87.37715 \nL 99.662314 87.958389 \nL 103.558597 89.110683 \nL 107.69654 90.761695 \nL 111.994072 92.83485 \nL 116.372541 95.2539 \nL 120.7592 97.946543 \nL 125.088957 100.846849 \nL 129.305501 103.896796 \nL 133.361766 107.046764 \nL 137.219892 110.255445 \nL 140.850778 113.489246 \nL 144.233364 116.721422 \nL 147.353723 119.931072 \nL 150.204059 123.10216 \nL 152.781706 126.222515 \nL 155.088117 129.283027 \nL 157.127963 132.276883 \nL 158.908285 135.198973 \nL 160.437772 138.045382 \nL 161.72612 140.813003 \nL 162.783499 143.499234 \nL 163.62012 146.101709 \nL 164.245873 148.618119 \nL 164.67005 151.046051 \nL 164.901132 153.382845 \nL 164.946633 155.625509 \nL 164.812988 157.770574 \nL 164.505487 159.814021 \nL 164.028238 161.751159 \nL 163.384163 163.576542 \nL 162.575014 165.283835 \nL 161.601425 166.865673 \nL 160.462964 168.313565 \nL 159.158227 169.617724 \nL 157.684951 170.76693 \nL 156.04014 171.748367 \nL 154.220238 172.54748 \nL 152.221343 173.147844 \nL 150.039446 173.531027 \nL 147.670737 173.676536 \nL 145.111977 173.561799 \nL 142.36093 173.162247 \nL 139.416893 172.451516 \nL 136.281303 171.401856 \nL 132.958447 169.984727 \nL 129.456277 168.171704 \nL 125.787289 165.935729 \nL 121.9695 163.252738 \nL 118.027427 160.103729 \nL 113.993057 156.477274 \nL 109.906691 152.372384 \nL 105.817567 147.801639 \nL 101.78416 142.794328 \nL 97.873934 137.399302 \nL 94.162468 131.687046 \nL 90.73177 125.750569 \nL 87.667751 119.704485 \nL 85.05682 113.682001 \nL 82.98172 107.829556 \nL 81.51691 102.299281 \nL 80.723788 97.239841 \nL 80.646299 92.786607 \nL 81.307384 89.052274 \nL 82.706755 86.119249 \nL 84.82027 84.034864 \nL 87.601069 82.809872 \nL 90.982256 82.420524 \nL 94.880933 82.813426 \nL 99.203051 83.912498 \nL 103.848559 85.626877 \nL 108.716393 87.858634 \nL 113.708857 90.50959 \nL 118.735175 93.486659 \nL 123.714098 96.705553 \nL 128.575492 100.09291 \nL 133.261065 103.587033 \nL 137.724374 107.137684 \nL 141.93023 110.705112 \nL 145.853737 114.258784 \nL 149.479087 117.77586 \nL 152.798227 121.239762 \nL 155.809521 124.638823 \nL 158.516465 127.965111 \nL 160.926495 131.213438 \nL 163.049929 134.380592 \nL 164.899041 137.464703 \nL 166.487277 140.464763 \nL 167.8286 143.380288 \nL 168.936963 146.211041 \nL 169.825887 148.95683 \nL 170.508133 151.6174 \nL 170.995461 154.192276 \nL 171.298441 156.680726 \nL 171.426346 159.081649 \nL 171.387063 161.393532 \nL 171.187051 163.614383 \nL 170.831334 165.741625 \nL 170.323496 167.772057 \nL 169.665717 169.701736 \nL 168.858803 171.525875 \nL 167.90223 173.238716 \nL 166.79421 174.833399 \nL 165.531754 176.301802 \nL 164.110752 177.634368 \nL 162.526079 178.819875 \nL 160.771698 179.84528 \nL 158.840813 180.695449 \nL 156.726047 181.352939 \nL 154.419657 181.797771 \nL 151.913827 182.007223 \nL 149.201006 181.95565 \nL 146.274354 181.614407 \nL 143.128273 180.951858 \nL 139.759075 179.933568 \nL 136.165781 178.522748 \nL 132.351058 176.680995 \nL 128.322339 174.369501 \nL 124.093049 171.550738 \nL 119.684001 168.190771 \nL 115.124806 164.262315 \nL 110.45532 159.748411 \nL 105.726899 154.646827 \nL 101.003326 148.974805 \nL 96.361251 142.773883 \nL 91.889768 136.114163 \nL 87.688963 129.097235 \nL 83.867223 121.856942 \nL 80.537169 114.557033 \nL 77.810252 107.385228 \nL 75.790326 100.543422 \nL 74.566675 94.234765 \nL 74.207208 88.648656 \nL 74.752611 83.945939 \nL 76.212342 80.246112 \nL 78.562984 77.618774 \nL 81.749279 76.08059 \nL 85.687738 75.597833 \nL 90.272334 76.093948 \nL 95.38155 77.46044 \nL 100.885883 79.569222 \nL 106.655081 82.284553 \nL 112.564374 85.473141 \nL 118.499375 89.01184 \nL 124.359462 92.792383 \nL 130.059674 96.723756 \nL 135.531353 100.732444 \nL 140.721762 104.761368 \nL 145.592938 108.76787 \nL 150.120125 112.721398 \nL 154.28992 116.601126 \nL 158.098362 120.393707 \nL 161.549095 124.091378 \nL 164.651633 127.690386 \nL 167.419841 131.189715 \nL 169.870604 134.590144 \nL 172.022701 137.893526 \nL 173.895895 141.102312 \nL 175.510182 144.21918 \nL 176.88522 147.246849 \nL 178.039878 150.187892 \nL 178.99192 153.044685 \nL 179.757768 155.819347 \nL 180.352358 158.51372 \nL 180.789046 161.129362 \nL 181.079565 163.667547 \nL 181.234024 166.129254 \nL 181.260922 168.515156 \nL 181.167189 170.825605 \nL 180.958228 173.060639 \nL 180.63797 175.219917 \nL 180.20893 177.302687 \nL 179.672248 179.307753 \nL 179.027751 181.233376 \nL 178.273983 183.077238 \nL 177.408246 184.836308 \nL 176.42663 186.506738 \nL 175.324036 188.083737 \nL 174.094202 189.561398 \nL 172.729719 190.932511 \nL 171.222053 192.188346 \nL 169.56158 193.318394 \nL 167.737617 194.310082 \nL 165.738494 195.148442 \nL 163.551632 195.815737 \nL 161.163678 196.291069 \nL 158.560695 196.549938 \nL 155.728406 196.563809 \nL 152.652566 196.299686 \nL 149.319438 195.71973 \nL 145.716415 194.780997 \nL 141.832858 193.435383 \nL 137.661133 191.629837 \nL 133.197923 189.307075 \nL 128.445825 186.406898 \nL 123.415263 182.868379 \nL 118.126663 178.633134 \nL 112.612906 173.649887 \nL 106.921839 167.880505 \nL 101.118728 161.307449 \nL 95.288315 153.942395 \nL 89.536032 145.835373 \nL 83.987909 137.083259 \nL 78.788627 127.836066 \nL 74.097205 118.299014 \nL 70.080064 108.728424 \nL 66.901531 99.420048 \nL 64.71237 90.689567 \nL 63.637425 82.84681 \nL 63.763956 76.167026 \nL 65.132395 70.863974 \nL 67.731143 67.069731 \nL 71.496326 64.824978 \nL 76.316632 64.081357 \nL 82.042501 64.714734 \nL 88.498153 66.545894 \nL 95.494746 69.3644 \nL 102.842889 72.951305 \nL 110.363237 77.097692 \nL 117.894427 81.617525 \nL 125.298113 86.35469 \nL 132.461365 91.185112 \nL 139.296828 96.015306 \nL 145.741306 100.778692 \nL 151.753289 105.430961 \nL 157.309915 109.945217 \nL 162.403775 114.307493 \nL 167.039798 118.513012 \nL 171.232381 122.563093 \nL 175.002875 126.462858 \nL 178.377434 130.219507 \nL 181.385244 133.841165 \nL 184.057104 137.336105 \nL 186.424305 140.71227 \nL 188.517788 143.977013 \nL 190.367526 147.136957 \nL 192.002092 150.197982 \nL 194.731444 156.043359 \nL 196.898651 161.547155 \nL 198.666694 166.735203 \nL 200.86039 173.966937 \nL 203.472806 182.649555 \nL 204.832302 186.596257 \nL 206.32277 190.281776 \nL 208.012357 193.700437 \nL 209.971193 196.838648 \nL 211.074918 198.29547 \nL 212.274951 199.671937 \nL 213.582158 200.962591 \nL 215.008143 202.160653 \nL 216.565335 203.257792 \nL 218.267046 204.243832 \nL 220.127543 205.106418 \nL 222.162059 205.830635 \nL 224.386809 206.398535 \nL 226.818938 206.788658 \nL 229.476426 206.975433 \nL 232.37791 206.928591 \nL 235.542388 206.612496 \nL 238.988819 205.985507 \nL 242.735523 204.999395 \nL 246.799365 203.598907 \nL 251.194659 201.721589 \nL 255.931764 199.298084 \nL 261.015261 196.253072 \nL 266.441726 192.507248 \nL 272.196997 187.980604 \nL 278.253087 182.597435 \nL 284.564667 176.293442 \nL 291.065509 169.025113 \nL 297.665117 160.781227 \nL 304.246131 151.595967 \nL 310.663227 141.56223 \nL 316.744316 130.842891 \nL 322.294892 119.677134 \nL 327.106185 108.378408 \nL 330.967246 97.32126 \nL 333.680392 86.915788 \nL 335.07852 77.571386 \nL 335.04199 69.654545 \nL 333.512318 63.448397 \nL 330.50018 59.122089 \nL 326.086044 56.71655 \nL 320.413218 56.149105 \nL 313.674551 57.234934 \nL 306.095176 59.719327 \nL 297.914047 63.313395 \nL 289.366906 67.726556 \nL 280.672492 72.691353 \nL 272.022898 77.978957 \nL 263.578105 83.405894 \nL 255.464184 88.83401 \nL 247.774321 94.165943 \nL 240.57169 99.338344 \nL 233.893432 104.314465 \nL 227.75503 109.077149 \nL 222.154636 113.622813 \nL 217.077092 117.956673 \nL 212.497449 122.089105 \nL 208.383956 126.033028 \nL 204.70051 129.802142 \nL 201.4086 133.409824 \nL 198.468825 136.868434 \nL 195.842021 140.188993 \nL 193.490081 143.381048 \nL 189.466833 149.410639 \nL 186.132009 155.006021 \nL 176.826146 171.478078 \nL 174.162015 175.290268 \nL 172.744916 177.033643 \nL 171.251541 178.661141 \nL 169.667681 180.165589 \nL 167.979355 181.538294 \nL 166.172732 182.768852 \nL 164.234059 183.844919 \nL 162.149643 184.751948 \nL 159.90588 185.47292 \nL 157.489335 185.988074 \nL 154.886888 186.274623 \nL 152.085968 186.306487 \nL 149.074875 186.054103 \nL 145.843242 185.484307 \nL 142.382611 184.560367 \nL 138.687176 183.242242 \nL 134.754717 181.487162 \nL 130.587709 179.250598 \nL 126.194637 176.487822 \nL 121.591512 173.156157 \nL 116.803489 169.218001 \nL 111.866594 164.644747 \nL 106.829377 159.421614 \nL 101.75433 153.553179 \nL 96.7188 147.069314 \nL 91.815168 140.030924 \nL 87.149881 132.534621 \nL 82.841065 124.715255 \nL 79.014559 116.745135 \nL 75.798178 108.828958 \nL 73.314561 101.193939 \nL 71.672952 94.075404 \nL 70.960849 87.699178 \nL 71.236407 82.262968 \nL 72.522739 77.919484 \nL 74.804929 74.764186 \nL 78.030298 72.829566 \nL 82.11194 72.086685 \nL 86.935004 72.453366 \nL 92.364885 73.807089 \nL 98.256185 76.000102 \nL 104.461459 78.874338 \nL 110.838872 82.274274 \nL 117.258208 86.056451 \nL 123.605034 90.095578 \nL 129.78305 94.287302 \nL 135.714856 98.548513 \nL 141.341477 102.815794 \nL 146.621009 107.042916 \nL 151.526699 111.197835 \nL 156.044758 115.259707 \nL 160.172108 119.216199 \nL 163.914209 123.061165 \nL 167.283073 126.792752 \nL 170.295505 130.411949 \nL 172.971598 133.921501 \nL 175.333471 137.325132 \nL 177.40425 140.626994 \nL 179.207255 143.831324 \nL 180.765375 146.942235 \nL 182.100596 149.963586 \nL 183.233673 152.89892 \nL 184.183895 155.751447 \nL 184.968951 158.524056 \nL 185.604849 161.219351 \nL 186.484747 166.38702 \nL 186.918228 171.270132 \nL 186.974883 175.881026 \nL 186.701624 180.228957 \nL 186.12512 184.320014 \nL 185.253919 188.156658 \nL 184.080008 191.736746 \nL 182.579744 195.052032 \nL 181.695648 196.605583 \nL 180.714132 198.085871 \nL 179.627873 199.488963 \nL 178.428521 200.809909 \nL 177.106671 202.042558 \nL 175.651832 203.179328 \nL 174.052389 204.210942 \nL 172.295584 205.126108 \nL 170.367504 205.911161 \nL 168.253094 206.549636 \nL 165.936194 207.021786 \nL 163.39964 207.30403 \nL 160.625403 207.368363 \nL 157.594844 207.181702 \nL 154.289072 206.705234 \nL 150.689448 205.89378 \nL 146.778304 204.695257 \nL 142.539902 203.050354 \nL 137.961697 200.892549 \nL 133.035957 198.148707 \nL 127.761811 194.740492 \nL 122.147764 190.586984 \nL 116.214633 185.608811 \nL 109.998922 179.734248 \nL 103.556432 172.90753 \nL 96.96582 165.099497 \nL 90.331707 156.320174 \nL 83.786639 146.632377 \nL 77.491134 136.164497 \nL 71.630973 125.119795 \nL 66.410865 113.778906 \nL 62.044175 102.492284 \nL 58.738831 91.660421 \nL 56.680449 81.701927 \nL 56.014738 73.012906 \nL 56.831723 65.924012 \nL 59.154576 60.663674 \nL 62.93534 57.335107 \nL 68.058343 55.911936 \nL 74.350852 56.252414 \nL 81.598984 58.127826 \nL 89.566183 61.258081 \nL 98.011379 65.34682 \nL 106.704666 70.110587 \nL 115.439051 75.298948 \nL 124.037916 80.705251 \nL 132.358438 86.169469 \nL 140.291761 91.575353 \nL 147.760829 96.844412 \nL 154.716768 101.92843 \nL 161.134601 106.802127 \nL 167.008787 111.456552 \nL 172.348994 115.893655 \nL 177.17631 120.122107 \nL 181.519967 124.154185 \nL 185.414636 128.003664 \nL 188.898235 131.684386 \nL 192.010218 135.209404 \nL 194.790266 138.590529 \nL 197.277328 141.838086 \nL 201.520812 147.966368 \nL 205.017296 153.64808 \nL 209.380222 161.403764 \nL 213.27094 168.277891 \nL 215.870583 172.364197 \nL 218.633395 176.028398 \nL 220.114309 177.690478 \nL 221.680958 179.230524 \nL 223.347481 180.640242 \nL 225.127814 181.909663 \nL 227.03576 183.026947 \nL 229.085024 183.978135 \nL 231.289198 184.746875 \nL 233.661698 185.314168 \nL 236.215618 185.658085 \nL 238.963541 185.753508 \nL 241.917225 185.571939 \nL 245.087177 185.081358 \nL 248.482122 184.246238 \nL 252.108296 183.027759 \nL 255.968566 181.3843 \nL 260.061378 179.272354 \nL 264.3795 176.647914 \nL 268.908593 173.468533 \nL 273.625614 169.69616 \nL 278.497168 165.300793 \nL 283.477845 160.265037 \nL 288.508789 154.589387 \nL 293.516703 148.297972 \nL 298.413503 141.444253 \nL 303.097023 134.115862 \nL 307.453045 126.437558 \nL 311.358868 118.571231 \nL 314.688551 110.711896 \nL 317.319656 103.079071 \nL 319.14111 95.903599 \nL 320.061414 89.411031 \nL 320.016323 83.80347 \nL 318.974913 79.242482 \nL 316.943167 75.835953 \nL 313.964472 73.630817 \nL 310.116878 72.612974 \nL 305.507538 72.713774 \nL 300.265058 73.821662 \nL 294.530827 75.796602 \nL 288.450306 78.484857 \nL 282.165239 81.732157 \nL 275.807309 85.393869 \nL 269.493588 89.341811 \nL 263.323816 93.467791 \nL 257.379227 97.684482 \nL 251.722752 101.924326 \nL 246.400124 106.137293 \nL 241.441648 110.28806 \nL 236.864282 114.353086 \nL 232.673852 118.317872 \nL 228.867208 122.1746 \nL 225.434229 125.920162 \nL 222.359611 129.554645 \nL 219.624432 133.080139 \nL 217.207441 136.49992 \nL 215.086132 139.817838 \nL 213.237608 143.037929 \nL 211.639232 146.164175 \nL 210.269147 149.200356 \nL 209.106632 152.14995 \nL 208.132362 155.016129 \nL 207.32857 157.801745 \nL 206.67914 160.509371 \nL 205.787323 165.699481 \nL 205.361397 170.601717 \nL 205.331193 175.227774 \nL 205.649695 179.586003 \nL 206.290715 183.681245 \nL 207.246838 187.514221 \nL 208.527904 191.080372 \nL 209.297847 192.760099 \nL 210.160102 194.368083 \nL 211.120451 195.901336 \nL 212.185696 197.356035 \nL 213.363676 198.727367 \nL 214.663288 200.009356 \nL 216.094519 201.194635 \nL 217.668465 202.274194 \nL 219.397346 203.237081 \nL 221.294519 204.070064 \nL 223.374453 204.7572 \nL 225.65269 205.279408 \nL 228.145753 205.613929 \nL 230.870993 205.733773 \nL 233.846358 205.607093 \nL 237.090041 205.196583 \nL 240.620004 204.458866 \nL 244.453276 203.343995 \nL 248.605068 201.795142 \nL 253.087573 199.748611 \nL 257.90841 197.134379 \nL 263.068717 193.877417 \nL 268.560773 189.90008 \nL 274.365234 185.125949 \nL 280.447935 179.485459 \nL 286.756486 172.923614 \nL 293.216863 165.40984 \nL 299.730405 156.94978 \nL 306.17185 147.598072 \nL 312.389042 137.470613 \nL 318.205224 126.753838 \nL 323.424591 115.708006 \nL 327.841607 104.661461 \nL 331.253965 93.993547 \nL 333.478314 84.106079 \nL 334.367027 75.385859 \nL 333.82364 68.164091 \nL 331.814316 62.680112 \nL 328.37319 59.056935 \nL 323.600402 57.293742 \nL 317.653195 57.276014 \nL 310.73158 58.800137 \nL 303.061044 61.606008 \nL 294.875017 65.410796 \nL 286.399299 69.938039 \nL 277.839944 74.938728 \nL 269.375223 80.203569 \nL 261.15146 85.567309 \nL 253.282168 90.907299 \nL 245.849626 96.13847 \nL 238.908009 101.206499 \nL 232.487373 106.080803 \nL 226.597904 110.748102 \nL 221.23403 115.206932 \nL 216.378189 119.463382 \nL 212.004096 123.527857 \nL 208.079513 127.41282 \nL 204.568483 131.13124 \nL 201.433114 134.695638 \nL 198.634947 138.117538 \nL 196.13598 141.407163 \nL 193.899398 144.573377 \nL 190.074857 150.564339 \nL 186.905039 156.136007 \nL 178.046045 172.631189 \nL 175.502373 176.485418 \nL 174.147687 178.257551 \nL 172.718812 179.919736 \nL 171.201917 181.465473 \nL 169.583321 182.886834 \nL 167.849392 184.174277 \nL 165.986481 185.316405 \nL 163.980878 186.299709 \nL 161.818812 187.10829 \nL 159.486514 187.723564 \nL 156.970318 188.123952 \nL 154.256855 188.284572 \nL 151.333334 188.17697 \nL 148.187928 187.76891 \nL 144.810285 187.024272 \nL 141.192219 185.90314 \nL 137.328553 184.362144 \nL 133.218176 182.355183 \nL 128.865306 179.83463 \nL 124.280969 176.753227 \nL 119.484673 173.066729 \nL 114.506219 168.737495 \nL 109.387562 163.739067 \nL 104.184526 158.061697 \nL 98.968214 151.71858 \nL 93.825777 144.752347 \nL 88.86018 137.241015 \nL 84.188694 129.302379 \nL 79.93967 121.095545 \nL 76.247523 112.818351 \nL 73.245871 104.699729 \nL 71.059271 96.986767 \nL 69.794118 89.927268 \nL 69.52987 83.749621 \nL 70.311617 78.64304 \nL 72.145154 74.741137 \nL 74.995392 72.111786 \nL 78.788397 70.754833 \nL 83.416775 70.607689 \nL 88.747642 71.557262 \nL 94.632037 73.455723 \nL 100.914618 76.13727 \nL 107.442532 79.433346 \nL 114.072752 83.184666 \nL 120.677398 87.249521 \nL 127.147097 91.508128 \nL 133.392436 95.863906 \nL 139.343956 100.242428 \nL 144.950998 104.588953 \nL 150.179839 108.865212 \nL 155.011398 113.046124 \nL 159.438843 117.116689 \nL 163.4652 121.069276 \nL 167.10116 124.901417 \nL 170.363107 128.614079 \nL 173.27142 132.210361 \nL 175.849051 135.694537 \nL 178.120355 139.071443 \nL 180.11017 142.346029 \nL 181.843089 145.523092 \nL 183.342925 148.607137 \nL 184.632315 151.602323 \nL 185.732455 154.512414 \nL 186.662933 157.34081 \nL 188.084722 162.764489 \nL 189.020155 167.89448 \nL 189.56524 172.748178 \nL 189.791889 177.340138 \nL 189.750837 181.682606 \nL 189.474499 185.785809 \nL 188.97944 189.657885 \nL 188.268268 193.3046 \nL 187.330887 196.728761 \nL 186.145105 199.929243 \nL 184.676601 202.899586 \nL 182.878308 205.625838 \nL 181.837019 206.89028 \nL 180.689246 208.083435 \nL 179.424931 209.199822 \nL 178.032927 210.232633 \nL 176.500939 211.173446 \nL 174.815468 212.011929 \nL 172.961758 212.735457 \nL 170.923771 213.328676 \nL 168.684175 213.77299 \nL 166.224379 214.045976 \nL 163.524617 214.120707 \nL 160.564126 213.965009 \nL 157.321405 213.54067 \nL 153.774647 212.802587 \nL 149.902342 211.697991 \nL 145.684136 210.165749 \nL 141.101992 208.135954 \nL 136.141766 205.529973 \nL 130.795211 202.26124 \nL 125.062535 198.23718 \nL 118.955543 193.3627 \nL 112.501348 187.545777 \nL 105.74658 180.705653 \nL 98.761831 172.783966 \nL 91.645942 163.758837 \nL 84.529485 153.661266 \nL 77.576525 142.592091 \nL 70.983576 130.736875 \nL 64.974643 118.374523 \nL 59.791411 105.875279 \nL 55.678425 93.684003 \nL 52.863862 82.287213 \nL 51.538102 72.166128 \nL 51.832962 63.742684 \nL 53.805402 57.329007 \nL 57.428934 53.091453 \nL 62.594591 51.037488 \nL 69.121427 51.027399 \nL 76.774513 52.806534 \nL 85.287049 56.049141 \nL 94.382868 60.40357 \nL 103.796192 65.530635 \nL 113.286708 71.130406 \nL 122.649163 76.956629 \nL 131.717894 82.820684 \nL 140.367151 88.587967 \nL 148.508535 94.170047 \nL 156.086589 99.515129 \nL 163.073575 104.598653 \nL 169.464124 109.415024 \nL 175.270194 113.970929 \nL 180.516581 118.280212 \nL 185.237125 122.360248 \nL 189.471577 126.229422 \nL 193.263117 129.905583 \nL 196.656423 133.405083 \nL 199.696233 136.742344 \nL 202.426292 139.929659 \nL 207.123103 145.893297 \nL 211.055449 151.354798 \nL 219.207797 162.970478 \nL 222.332645 166.790838 \nL 223.949454 168.510073 \nL 225.62614 170.093574 \nL 227.379094 171.533229 \nL 229.223797 172.819327 \nL 231.174915 173.94044 \nL 233.24634 174.883239 \nL 235.451194 175.632332 \nL 237.801765 176.170135 \nL 240.309377 176.476706 \nL 242.98419 176.52969 \nL 245.834921 176.304273 \nL 248.868436 175.77331 \nL 252.089273 174.907532 \nL 255.499002 173.676013 \nL 259.095498 172.0469 \nL 262.872069 169.98848 \nL 266.816471 167.470635 \nL 270.90985 164.466851 \nL 275.125637 160.956653 \nL 279.428469 156.928632 \nL 283.773281 152.383861 \nL 288.104626 147.339612 \nL 292.356491 141.833012 \nL 296.45271 135.924268 \nL 300.30819 129.698786 \nL 303.831103 123.267762 \nL 306.926121 116.766416 \nL 309.498644 110.349566 \nL 311.459832 104.184451 \nL 312.732072 98.441043 \nL 313.254436 93.280784 \nL 312.987438 88.845031 \nL 311.916585 85.244806 \nL 310.054164 82.553151 \nL 307.439052 80.801358 \nL 304.134507 79.979358 \nL 300.224182 80.040085 \nL 295.806952 80.906756 \nL 290.990991 82.481916 \nL 285.887916 84.656841 \nL 280.607375 87.320052 \nL 275.252555 90.364328 \nL 269.916823 93.691679 \nL 264.681464 97.216413 \nL 259.614577 100.866363 \nL 254.770836 104.582882 \nL 250.192001 108.319875 \nL 245.907936 112.042247 \nL 241.937931 115.724157 \nL 238.292216 119.347249 \nL 234.973493 122.899011 \nL 231.978406 126.371359 \nL 229.298938 129.759437 \nL 226.923623 133.060691 \nL 224.838629 136.274104 \nL 223.028658 139.399646 \nL 221.4777 142.437851 \nL 220.169644 145.389544 \nL 219.088764 148.255629 \nL 218.220091 151.03694 \nL 217.549688 153.734125 \nL 217.064857 156.347602 \nL 216.754271 158.877483 \nL 216.608067 161.323542 \nL 216.617891 163.685161 \nL 216.776913 165.961285 \nL 217.079823 168.150375 \nL 217.522815 170.250332 \nL 218.103547 172.258429 \nL 218.821105 174.171226 \nL 219.675958 175.984449 \nL 220.669909 177.692881 \nL 221.80604 179.290215 \nL 223.088662 180.768879 \nL 224.523234 182.119856 \nL 226.116303 183.332463 \nL 227.875406 184.394118 \nL 229.808951 185.290074 \nL 231.926084 186.003147 \nL 234.236486 186.513417 \nL 236.750152 186.797952 \nL 239.477065 186.830519 \nL 242.426798 186.581388 \nL 245.608018 186.017184 \nL 249.027842 185.10091 \nL 252.691052 183.792177 \nL 256.59913 182.047742 \nL 260.749104 179.822479 \nL 265.132191 177.070894 \nL 269.732287 173.749329 \nL 274.524253 169.818972 \nL 279.472161 165.249795 \nL 284.527602 160.025378 \nL 289.628175 154.148517 \nL 294.696514 147.647256 \nL 299.64001 140.580802 \nL 304.351705 133.044379 \nL 308.712576 125.172 \nL 312.595491 117.135975 \nL 315.870864 109.141989 \nL 318.413936 101.419385 \nL 320.112999 94.206719 \nL 320.877988 87.733855 \nL 320.648237 82.20302 \nL 319.398419 77.771447 \nL 317.141738 74.53853 \nL 313.92981 72.539706 \nL 309.849205 71.747727 \nL 305.015161 72.080795 \nL 299.563303 73.415574 \nL 293.640509 75.602584 \nL 287.396014 78.481494 \nL 280.973575 81.894274 \nL 274.505288 85.695053 \nL 268.107329 89.756354 \nL 261.87751 93.972038 \nL 255.894477 98.257627 \nL 250.21816 102.548735 \nL 244.891162 106.79846 \nL 239.94069 110.974384 \nL 235.380788 115.055513 \nL 231.214611 119.029496 \nL 227.436645 122.890261 \nL 224.034723 126.636099 \nL 220.991811 130.268169 \nL 218.287536 133.789397 \nL 215.899467 137.203678 \nL 213.804145 140.515334 \nL 211.977913 143.728756 \nL 210.397542 146.8482 \nL 209.040712 149.877635 \nL 207.886342 152.820721 \nL 206.914824 155.680773 \nL 206.108165 158.460783 \nL 205.450055 161.163431 \nL 204.522752 166.346026 \nL 204.035985 171.244965 \nL 203.917869 175.873369 \nL 204.119098 180.241479 \nL 204.610394 184.356648 \nL 205.380287 188.223037 \nL 206.43344 191.840847 \nL 207.789619 195.205037 \nL 208.591543 196.788581 \nL 209.483314 198.303474 \nL 210.471584 199.74663 \nL 211.563987 201.1141 \nL 212.769173 202.40092 \nL 214.096844 203.600916 \nL 215.557794 204.706463 \nL 217.163945 205.708216 \nL 218.928378 206.594806 \nL 220.865356 207.35244 \nL 222.990304 207.96448 \nL 225.319785 208.41094 \nL 227.871411 208.667928 \nL 230.663688 208.707013 \nL 233.715785 208.494559 \nL 237.047165 207.991038 \nL 240.677075 207.150355 \nL 244.623823 205.919274 \nL 248.903805 204.237049 \nL 253.530213 202.035423 \nL 258.511358 199.239186 \nL 263.848588 195.767617 \nL 269.533683 191.537126 \nL 275.54581 186.465516 \nL 281.848015 180.478278 \nL 288.383493 173.517232 \nL 295.071826 165.551596 \nL 301.805752 156.591184 \nL 308.449118 146.7006 \nL 314.836755 136.012679 \nL 320.777361 124.738179 \nL 326.060083 113.168348 \nL 330.465304 101.666759 \nL 333.779422 90.648297 \nL 335.812469 80.545339 \nL 336.416429 71.764923 \nL 335.501591 64.64388 \nL 333.047828 59.410752 \nL 329.108686 56.162862 \nL 323.807303 54.86295 \nL 317.324899 55.355436 \nL 309.883876 57.397088 \nL 301.72851 60.69457 \nL 293.106161 64.941036 \nL 284.251295 69.845789 \nL 275.373694 75.154389 \nL 266.651162 80.658851 \nL 258.226396 86.199813 \nL 250.207151 91.662929 \nL 242.668731 96.972213 \nL 235.657876 102.082205 \nL 229.19729 106.970228 \nL 223.290239 111.629661 \nL 217.924895 116.064416 \nL 213.078201 120.284746 \nL 208.719152 124.304188 \nL 204.811527 128.137459 \nL 201.316068 131.799085 \nL 198.192177 135.302604 \nL 195.399199 138.660129 \nL 192.897362 141.882168 \nL 188.616119 147.953836 \nL 185.06739 153.570974 \nL 175.186 169.975141 \nL 172.368492 173.720001 \nL 170.872348 175.419284 \nL 169.297628 176.994739 \nL 167.629712 178.438317 \nL 165.854339 179.740357 \nL 163.957519 180.889373 \nL 161.925508 181.871846 \nL 159.744795 182.671966 \nL 157.402171 183.271399 \nL 154.884846 183.649038 \nL 152.180643 183.780776 \nL 149.27829 183.639333 \nL 146.167809 183.19416 \nL 142.841043 182.411468 \nL 139.292313 181.254476 \nL 135.519245 179.683886 \nL 131.523759 177.658803 \nL 127.313253 175.138032 \nL 122.90192 172.082062 \nL 118.312237 168.455711 \nL 113.57649 164.231534 \nL 108.738272 159.394015 \nL 103.853802 153.944466 \nL 98.992817 147.906258 \nL 94.238862 141.330019 \nL 89.688615 134.298043 \nL 85.450011 126.927013 \nL 81.638964 119.368064 \nL 78.374546 111.803206 \nL 75.772818 104.437667 \nL 73.939634 97.48805 \nL 72.963045 91.167384 \nL 72.906159 85.66849 \nL 73.801366 81.148277 \nL 75.646781 77.715128 \nL 78.405479 75.421656 \nL 82.007617 74.263624 \nL 86.355285 74.185056 \nL 91.329319 75.088209 \nL 96.797211 76.846405 \nL 102.621246 79.317612 \nL 108.66587 82.356833 \nL 114.803894 85.826026 \nL 120.921011 89.600983 \nL 126.918716 93.575298 \nL 132.715699 97.6617 \nL 138.247939 101.791481 \nL 143.46787 105.912711 \nL 148.342869 109.987817 \nL 152.853392 113.99089 \nL 156.990937 117.905171 \nL 160.755996 121.720771 \nL 164.156158 125.43275 \nL 167.20436 129.039634 \nL 169.91737 132.542203 \nL 172.314495 135.942632 \nL 174.416509 139.243876 \nL 176.244781 142.449223 \nL 177.820593 145.562035 \nL 179.164611 148.585552 \nL 180.296497 151.522804 \nL 181.234627 154.376557 \nL 181.995907 157.14928 \nL 182.595658 159.843159 \nL 183.047556 162.460103 \nL 183.363621 165.001747 \nL 183.628167 169.864375 \nL 183.453438 174.438883 \nL 182.879783 178.728775 \nL 181.925699 182.732461 \nL 181.306235 184.624794 \nL 180.589557 186.442007 \nL 179.772526 188.181777 \nL 178.850875 189.841078 \nL 177.819223 191.416057 \nL 176.671075 192.901889 \nL 175.398836 194.292602 \nL 173.993793 195.580876 \nL 172.446133 196.757804 \nL 170.744944 197.812623 \nL 168.878231 198.732388 \nL 166.832963 199.501608 \nL 164.595141 200.101848 \nL 162.149911 200.511252 \nL 159.481732 200.704078 \nL 156.574637 200.650158 \nL 153.412579 200.314407 \nL 149.979918 199.656333 \nL 146.262085 198.629692 \nL 142.24645 197.182314 \nL 137.923439 195.256259 \nL 133.287957 192.788458 \nL 128.341144 189.712085 \nL 123.092482 185.958846 \nL 117.562262 181.462556 \nL 111.784339 176.164217 \nL 105.809055 170.018815 \nL 99.706088 163.003854 \nL 93.566879 155.129356 \nL 87.506155 146.448553 \nL 81.661953 137.067935 \nL 76.193452 127.154701 \nL 71.276074 116.939229 \nL 67.093442 106.710096 \nL 63.82639 96.799931 \nL 61.639617 87.562029 \nL 60.667456 79.339501 \nL 61.000591 72.431553 \nL 62.675949 67.062587 \nL 65.671435 63.36027 \nL 69.906656 61.34674 \nL 75.249557 60.9443 \nL 81.527858 61.993475 \nL 88.543384 64.278947 \nL 96.08715 67.557752 \nL 103.953269 71.58487 \nL 111.95024 76.132976 \nL 119.908961 81.005143 \nL 127.687401 86.040756 \nL 135.172326 91.116081 \nL 142.2787 96.141244 \nL 148.947471 101.055137 \nL 155.142431 105.819683 \nL 160.846606 110.414198 \nL 166.058634 114.830504 \nL 170.789348 119.068875 \nL 175.05871 123.134898 \nL 178.893177 127.037162 \nL 182.323509 130.785622 \nL 185.382981 134.39053 \nL 188.105992 137.861747 \nL 190.526988 141.208385 \nL 192.67967 144.438594 \nL 194.596433 147.559519 \nL 197.843171 153.497345 \nL 200.489592 159.060966 \nL 203.742455 166.762166 \nL 207.523475 175.902811 \nL 209.446077 179.998723 \nL 211.525687 183.768977 \nL 213.856123 187.193927 \nL 215.144463 188.76713 \nL 216.530689 190.240159 \nL 218.027049 191.60591 \nL 219.646214 192.855712 \nL 221.401351 193.979095 \nL 223.306169 194.963482 \nL 225.374939 195.793857 \nL 227.622469 196.452392 \nL 230.064035 196.918034 \nL 232.715239 197.166073 \nL 235.591792 197.167683 \nL 238.709195 196.88949 \nL 242.082287 196.293183 \nL 245.724622 195.335236 \nL 249.64766 193.966835 \nL 253.859722 192.134117 \nL 258.364681 189.778854 \nL 263.160331 186.83982 \nL 268.23647 183.255006 \nL 273.572654 178.964957 \nL 279.135741 173.917478 \nL 284.877299 168.073763 \nL 290.731097 161.416096 \nL 296.611039 153.956665 \nL 302.40991 145.746914 \nL 307.999486 136.886286 \nL 313.232582 127.528574 \nL 317.947495 117.883947 \nL 321.975165 108.214582 \nL 325.148957 98.822449 \nL 327.31642 90.029056 \nL 328.351953 82.148848 \nL 328.168659 75.459753 \nL 326.727663 70.175722 \nL 324.043227 66.426454 \nL 320.182767 64.248033 \nL 315.261628 63.58604 \nL 309.433511 64.309691 \nL 302.878014 66.233423 \nL 295.787238 69.141405 \nL 288.353038 72.810698 \nL 280.756385 77.029821 \nL 273.15947 81.61152 \nL 265.700748 86.399532 \nL 258.492727 91.270388 \nL 251.621927 96.131706 \nL 245.150467 100.918197 \nL 239.118651 105.586883 \nL 233.54809 110.112112 \nL 228.444978 114.481057 \nL 223.803248 118.689863 \nL 219.607467 122.740619 \nL 215.835366 126.639054 \nL 212.459986 130.392844 \nL 209.451444 134.010473 \nL 206.778355 137.500463 \nL 204.408922 140.870956 \nL 202.311778 144.12941 \nL 200.45659 147.282542 \nL 198.814472 150.33629 \nL 196.062656 156.165715 \nL 193.861643 161.651603 \nL 192.046753 166.819397 \nL 186.215702 184.616348 \nL 184.654001 188.382555 \nL 182.897348 191.8716 \nL 180.871923 195.068752 \nL 179.734165 196.550257 \nL 178.499212 197.947876 \nL 177.155956 199.255835 \nL 175.692593 200.466994 \nL 174.09654 201.572607 \nL 172.354373 202.562025 \nL 170.45178 203.42235 \nL 168.373538 204.138063 \nL 166.103519 204.690554 \nL 163.624767 205.057629 \nL 160.919601 205.212957 \nL 157.969831 205.125472 \nL 154.757076 204.758758 \nL 151.263216 204.070467 \nL 147.471039 203.01181 \nL 143.365094 201.527228 \nL 138.932854 199.554388 \nL 134.166178 197.024653 \nL 129.063181 193.864301 \nL 123.630502 189.996786 \nL 117.886022 185.34635 \nL 111.861935 179.84339 \nL 105.608114 173.431804 \nL 99.195462 166.078521 \nL 92.718911 157.784872 \nL 86.299526 148.599128 \nL 80.084984 138.628673 \nL 74.247607 128.049599 \nL 68.979306 117.110723 \nL 64.482808 106.129094 \nL 60.95932 95.474596 \nL 58.593278 85.54314 \nL 57.535858 76.720752 \nL 57.889464 69.343689 \nL 59.695871 63.661816 \nL 62.930072 59.812793 \nL 67.501252 57.812335 \nL 73.260729 57.561902 \nL 80.015463 58.871258 \nL 87.544817 61.48976 \nL 95.61796 65.139748 \nL 104.009546 69.54603 \nL 112.512221 74.457852 \nL 120.945136 79.662194 \nL 129.158586 84.989092 \nL 137.035294 90.311011 \nL 144.489196 95.538325 \nL 151.462536 100.612757 \nL 157.922032 105.500552 \nL 163.854715 110.18594 \nL 169.26382 114.665633 \nL 174.165015 118.944428 \nL 178.583083 123.031875 \nL 182.549117 126.939896 \nL 186.098225 130.681164 \nL 189.267691 134.268069 \nL 192.095567 137.712096 \nL 194.619602 141.023534 \nL 196.876472 144.211343 \nL 200.727108 150.24537 \nL 203.903942 155.860949 \nL 207.883066 163.56213 \nL 211.455996 170.433511 \nL 213.858592 174.549915 \nL 216.424461 178.274633 \nL 217.80452 179.980263 \nL 219.267712 181.573977 \nL 220.827601 183.048575 \nL 222.497707 184.395324 \nL 224.29159 185.603761 \nL 226.222909 186.661416 \nL 228.305433 187.553558 \nL 230.553023 188.262892 \nL 232.979545 188.769234 \nL 235.598718 189.049199 \nL 238.423892 189.075895 \nL 241.4677 188.818655 \nL 244.741625 188.242865 \nL 248.255388 187.309913 \nL 252.016176 185.977381 \nL 256.027687 184.199543 \nL 260.288956 181.928288 \nL 264.792944 179.114656 \nL 269.524933 175.711091 \nL 274.460724 171.674605 \nL 279.564738 166.970891 \nL 284.788121 161.579552 \nL 290.067082 155.50014 \nL 295.321703 148.75885 \nL 300.45553 141.415068 \nL 305.356388 133.567 \nL 309.898692 125.354998 \nL 313.947631 116.961328 \nL 317.365233 108.605146 \nL 320.018208 100.531927 \nL 321.787015 92.99767 \nL 322.575182 86.24914 \nL 322.317914 80.502796 \nL 320.988558 75.925638 \nL 318.60207 72.621125 \nL 315.214808 70.622681 \nL 310.92057 69.895591 \nL 305.843587 70.346502 \nL 300.129341 71.838229 \nL 293.934563 74.206983 \nL 287.417572 77.279208 \nL 280.729897 80.88576 \nL 274.009775 84.872293 \nL 267.377801 89.105534 \nL 260.934546 93.475981 \nL 254.759946 97.897768 \nL 248.914016 102.306559 \nL 243.438493 106.656551 \nL 238.359042 110.916973 \nL 233.687696 115.068757 \nL 229.425355 119.101538 \nL 225.56412 123.011135 \nL 222.08943 126.797569 \nL 218.981933 130.463508 \nL 216.219054 134.01319 \nL 213.776305 137.451612 \nL 211.628331 140.784008 \nL 209.749735 144.015547 \nL 208.115698 147.151113 \nL 206.702438 150.195227 \nL 205.487536 153.151993 \nL 204.45014 156.025127 \nL 203.571084 158.817982 \nL 202.22003 164.174635 \nL 201.315546 169.242825 \nL 200.764727 174.039958 \nL 200.497794 178.580919 \nL 200.464944 182.878592 \nL 200.633351 186.944207 \nL 200.984608 190.787387 \nL 201.512756 194.416056 \nL 202.222917 197.836103 \nL 203.13056 201.050836 \nL 204.261355 204.060117 \nL 205.651585 206.859076 \nL 207.349113 209.436175 \nL 208.331584 210.635424 \nL 209.414831 211.770366 \nL 210.608815 212.836195 \nL 211.924569 213.826896 \nL 213.374274 214.734979 \nL 214.971327 215.551203 \nL 216.730419 216.2642 \nL 218.667579 216.86007 \nL 220.800226 217.321874 \nL 223.147165 217.629057 \nL 225.728552 217.756782 \nL 228.565792 217.675158 \nL 231.681339 217.348404 \nL 235.098377 216.733932 \nL 238.840323 215.781424 \nL 242.930118 214.431938 \nL 247.389209 212.617186 \nL 252.236177 210.259158 \nL 257.4849 207.270337 \nL 263.142181 203.554839 \nL 269.204745 199.010984 \nL 275.655574 193.535822 \nL 282.45963 187.0322 \nL 289.559073 179.418975 \nL 296.86829 170.644621 \nL 304.269368 160.704092 \nL 311.608785 149.657737 \nL 318.696449 137.649887 \nL 325.308437 124.923363 \nL 331.194585 111.824791 \nL 336.091772 98.795601 \nL 339.74268 86.344942 \nL 341.91858 75.004719 \nL 342.443273 65.271595 \nL 341.214133 57.546701 \nL 338.21616 52.085904 \nL 333.526146 48.972351 \nL 327.30562 48.117479 \nL 319.784202 49.288413 \nL 311.236559 52.153414 \nL 301.957191 56.333586 \nL 292.237055 61.44982 \nL 282.344796 67.158029 \nL 272.513974 73.170082 \nL 262.936256 79.261768 \nL 253.759679 85.270857 \nL 236.998374 96.652484 \nL 229.520367 101.928867 \nL 222.66845 106.909748 \nL 216.434369 111.601492 \nL 210.794892 116.019346 \nL 205.716137 120.183015 \nL 201.157156 124.11359 \nL 197.072787 127.831639 \nL 193.415861 131.356059 \nL 190.138868 134.703485 \nL 184.53982 140.921527 \nL 179.926128 146.570311 \nL 169.117652 160.4683 \nL 165.769699 164.08211 \nL 164.042497 165.680632 \nL 162.255513 167.130509 \nL 160.392183 168.422583 \nL 158.437128 169.546043 \nL 156.376107 170.488338 \nL 154.195993 171.235066 \nL 151.884812 171.769876 \nL 149.431864 172.074404 \nL 146.827894 172.128262 \nL 144.065344 171.909087 \nL 141.138708 171.392707 \nL 138.044985 170.553464 \nL 134.78421 169.364717 \nL 131.36011 167.799599 \nL 127.780846 165.83206 \nL 124.059828 163.438263 \nL 120.216604 160.598381 \nL 116.277701 157.29878 \nL 112.277457 153.534577 \nL 108.258678 149.312471 \nL 104.272988 144.653723 \nL 100.380804 139.596942 \nL 96.650761 134.200378 \nL 93.158452 128.543281 \nL 89.984372 122.725846 \nL 87.211089 116.867301 \nL 84.919622 111.101947 \nL 83.185246 105.57305 \nL 82.073055 100.424951 \nL 81.633572 95.794135 \nL 81.899005 91.800078 \nL 82.880468 88.537253 \nL 84.566591 86.069163 \nL 86.923719 84.425333 \nL 89.897689 83.601357 \nL 93.416963 83.56212 \nL 97.396817 84.247256 \nL 101.744057 85.578102 \nL 106.36185 87.465068 \nL 111.15422 89.814535 \nL 116.029841 92.534692 \nL 120.905042 95.539921 \nL 125.705882 98.753685 \nL 130.369301 102.110003 \nL 134.843557 105.553802 \nL 139.087997 109.040477 \nL 143.072358 112.534866 \nL 146.775778 116.009978 \nL 150.185592 119.445626 \nL 153.296078 122.827083 \nL 156.107196 126.143917 \nL 158.623409 129.388919 \nL 160.852582 132.557261 \nL 162.805028 135.645809 \nL 164.492668 138.652567 \nL 165.928325 141.576272 \nL 167.12514 144.416078 \nL 168.096101 147.17132 \nL 168.853667 149.841334 \nL 169.409478 152.42533 \nL 169.774146 154.922283 \nL 169.957092 157.330844 \nL 169.966446 159.649264 \nL 169.808987 161.87533 \nL 169.490099 164.006249 \nL 169.013779 166.03861 \nL 168.382637 167.968251 \nL 167.597939 169.790176 \nL 166.659644 171.498409 \nL 165.566465 173.085882 \nL 164.315939 174.544262 \nL 162.904515 175.863793 \nL 161.327649 177.033092 \nL 159.579943 178.038974 \nL 157.655286 178.866209 \nL 155.547051 179.497344 \nL 153.248332 179.912477 \nL 150.752228 180.089101 \nL 148.052219 180.001972 \nL 145.14261 179.623045 \nL 142.019065 178.921587 \nL 138.679299 177.864412 \nL 135.123848 176.416416 \nL 131.35701 174.541383 \nL 127.387919 172.203259 \nL 123.23173 169.367861 \nL 118.910921 166.005272 \nL 114.456625 162.092767 \nL 109.909876 157.618414 \nL 105.322744 152.585204 \nL 100.759039 147.015455 \nL 96.294504 140.955102 \nL 92.016192 134.477326 \nL 88.020872 127.6848 \nL 84.412189 120.70975 \nL 81.29665 113.71112 \nL 78.778429 106.868383 \nL 76.953287 100.371996 \nL 75.902123 94.411169 \nL 75.684859 89.160161 \nL 76.335284 84.764861 \nL 77.857697 81.331712 \nL 80.225731 78.920568 \nL 83.383636 77.542429 \nL 87.249866 77.162391 \nL 91.722476 77.706768 \nL 96.685686 79.073202 \nL 102.016783 81.141817 \nL 107.592761 83.786027 \nL 113.295985 86.881662 \nL 119.018652 90.313823 \nL 124.665862 93.981178 \nL 130.157366 97.798184 \nL 135.428145 101.695298 \nL 140.428046 105.618083 \nL 145.120756 109.525429 \nL 149.482347 113.387467 \nL 153.499575 117.18342 \nL 157.168111 120.899588 \nL 160.490822 124.527592 \nL 163.476168 128.062899 \nL 166.136755 131.503668 \nL 168.488096 134.849849 \nL 170.547544 138.102499 \nL 172.333417 141.263316 \nL 173.864284 144.334298 \nL 175.158413 147.317495 \nL 176.233337 150.214893 \nL 177.105531 153.028288 \nL 177.790195 155.759256 \nL 178.301085 158.409082 \nL 178.650429 160.978761 \nL 178.848877 163.468987 \nL 178.905478 165.880113 \nL 178.827698 168.212147 \nL 178.621445 170.464701 \nL 178.291106 172.636965 \nL 177.839593 174.727659 \nL 177.268385 176.734958 \nL 176.577583 178.656438 \nL 175.765946 180.488966 \nL 174.830932 182.228594 \nL 173.768748 183.870418 \nL 172.574372 185.408445 \nL 171.2416 186.835398 \nL 169.763087 188.142511 \nL 168.130392 189.319293 \nL 166.33404 190.353258 \nL 164.363602 191.22962 \nL 162.207809 191.930969 \nL 159.854698 192.436897 \nL 157.291822 192.723636 \nL 154.506517 192.763681 \nL 151.486288 192.525432 \nL 148.219273 191.972927 \nL 144.694891 191.065675 \nL 140.90464 189.758694 \nL 136.843094 188.002864 \nL 132.509164 185.745712 \nL 127.907574 182.932788 \nL 123.050618 179.509847 \nL 117.960153 175.425992 \nL 112.669743 170.637932 \nL 107.22689 165.115524 \nL 101.695065 158.848422 \nL 96.155395 151.853668 \nL 90.707505 144.183468 \nL 85.469149 135.932276 \nL 80.574193 127.241726 \nL 76.168536 118.301769 \nL 72.403772 109.346478 \nL 69.428683 100.643424 \nL 67.379166 92.476549 \nL 66.367437 85.123903 \nL 66.471941 78.833049 \nL 67.72934 73.798025 \nL 70.12997 70.141881 \nL 73.617471 67.907977 \nL 78.092839 67.061295 \nL 83.422208 67.498963 \nL 89.447192 69.067396 \nL 95.996335 71.582533 \nL 102.896194 74.849481 \nL 109.980928 78.679123 \nL 117.099666 82.900089 \nL 124.121431 87.365788 \nL 130.93769 91.957253 \nL 137.462941 96.58256 \nL 143.633771 101.174216 \nL 149.406878 105.685403 \nL 154.756533 110.085843 \nL 159.671763 114.357912 \nL 164.153571 118.493222 \nL 168.212302 122.489778 \nL 171.865301 126.349764 \nL 175.134888 130.077903 \nL 178.046648 133.680265 \nL 180.628047 137.163443 \nL 182.90732 140.53405 \nL 184.912624 143.798404 \nL 186.671394 146.962348 \nL 188.209882 150.031191 \nL 189.552846 153.009695 \nL 191.742701 158.712232 \nL 193.403978 164.098774 \nL 194.671434 169.19253 \nL 195.654004 174.01271 \nL 196.778585 180.765268 \nL 199.382459 197.984235 \nL 200.424002 202.822699 \nL 201.260327 205.818099 \nL 202.25088 208.632605 \nL 203.436054 211.265363 \nL 204.863407 213.710814 \nL 206.589897 215.956693 \nL 207.58629 216.998416 \nL 208.684353 217.981026 \nL 209.894995 218.899532 \nL 211.230227 219.747668 \nL 212.703255 220.517625 \nL 214.328573 221.19973 \nL 216.122055 221.782052 \nL 218.101032 222.249946 \nL 220.284344 222.585493 \nL 222.692366 222.766853 \nL 225.346983 222.767508 \nL 228.271492 222.555403 \nL 231.490407 222.091977 \nL 235.029119 221.331108 \nL 238.913372 220.218022 \nL 243.168479 218.688265 \nL 247.818222 216.666797 \nL 252.883302 214.067524 \nL 258.379296 210.79346 \nL 264.313958 206.738025 \nL 270.683812 201.787959 \nL 277.469957 195.828586 \nL 284.633127 188.752133 \nL 292.108203 180.469785 \nL 299.798519 170.927839 \nL 307.570728 160.127613 \nL 315.251215 148.147627 \nL 322.625434 135.164942 \nL 329.441788 121.470776 \nL 335.421385 107.474105 \nL 340.274584 93.687081 \nL 343.723629 80.68853 \nL 345.529501 69.06675 \nL 345.518949 59.349778 \nL 343.606762 51.93686 \nL 339.808744 47.047441 \nL 334.242274 44.700063 \nL 327.114087 44.725505 \nL 318.697964 46.80858 \nL 309.306815 50.546105 \nL 299.264228 55.506398 \nL 288.879764 61.278868 \nL 278.430586 67.507361 \nL 268.150214 73.906635 \nL 248.788963 86.438123 \nL 231.729463 97.913995 \nL 217.304119 108.061709 \nL 211.068733 112.652653 \nL 205.445952 116.949946 \nL 200.394107 120.978718 \nL 195.865883 124.76384 \nL 191.811016 128.328324 \nL 188.178331 131.692528 \nL 181.978768 137.886505 \nL 176.885985 143.449357 \nL 165.100956 156.801297 \nL 163.316782 158.544378 \nL 161.517563 160.140306 \nL 159.683254 161.582297 \nL 157.795637 162.862125 \nL 155.83819 163.970033 \nL 153.796007 164.894743 \nL 151.655749 165.623372 \nL 149.405668 166.141443 \nL 147.035679 166.432879 \nL 144.537497 166.480097 \nL 141.90484 166.264132 \nL 139.13373 165.764872 \nL 136.222836 164.961474 \nL 133.173929 163.832865 \nL 129.992387 162.358515 \nL 126.68778 160.519432 \nL 123.274475 158.299389 \nL 119.772281 155.686464 \nL 116.207019 152.674822 \nL 112.611046 149.266717 \nL 109.023592 145.474602 \nL 105.490843 141.323245 \nL 102.065661 136.851571 \nL 98.806906 132.114026 \nL 95.77819 127.181094 \nL 93.046071 122.138764 \nL 90.677716 117.08662 \nL 88.738003 112.134468 \nL 87.286331 107.397579 \nL 86.373287 102.990773 \nL 86.037451 99.021902 \nL 86.302704 95.58539 \nL 87.176279 92.756528 \nL 88.647822 90.587247 \nL 90.689585 89.103919 \nL 93.257729 88.307247 \nL 96.294611 88.174354 \nL 99.731869 88.662393 \nL 103.493907 89.713336 \nL 107.501501 91.259235 \nL 111.67525 93.227258 \nL 115.938606 95.544177 \nL 120.2203 98.139878 \nL 124.456163 100.94991 \nL 128.590254 103.917013 \nL 132.575442 106.991823 \nL 136.373419 110.132851 \nL 139.954378 113.306067 \nL 143.296347 116.48409 \nL 146.384369 119.645316 \nL 149.209571 122.77294 \nL 151.768188 125.854067 \nL 154.060613 128.878876 \nL 156.090511 131.839918 \nL 157.863998 134.731492 \nL 159.388916 137.549162 \nL 160.674211 140.289347 \nL 161.729396 142.949024 \nL 162.564109 145.525439 \nL 163.187759 148.015922 \nL 163.609234 150.417728 \nL 163.836689 152.727892 \nL 163.877374 154.943099 \nL 163.737529 157.059596 \nL 163.422307 159.073051 \nL 162.935732 160.978485 \nL 162.280701 162.770132 \nL 161.458989 164.441333 \nL 160.471306 165.984419 \nL 159.317358 167.390565 \nL 157.995936 168.649663 \nL 156.505038 169.750179 \nL 154.842002 170.679012 \nL 153.003695 171.421342 \nL 150.986728 171.960532 \nL 148.787715 172.278028 \nL 146.403597 172.353329 \nL 143.832012 172.164013 \nL 141.071767 171.685854 \nL 138.123355 170.893115 \nL 134.989584 169.759005 \nL 131.676285 168.256363 \nL 128.193121 166.358643 \nL 124.554444 164.04123 \nL 120.780223 161.283146 \nL 116.896963 158.069154 \nL 112.938584 154.392223 \nL 108.94714 150.256343 \nL 104.973286 145.679451 \nL 101.076362 140.69629 \nL 97.323971 135.360832 \nL 93.790868 129.747866 \nL 90.557128 123.953241 \nL 87.705441 118.092397 \nL 85.317685 112.296822 \nL 83.470838 106.708348 \nL 82.232569 101.471638 \nL 81.656834 96.725333 \nL 81.77994 92.59293 \nL 82.617569 89.174488 \nL 84.163087 86.540101 \nL 86.387411 84.726289 \nL 89.240472 83.735409 \nL 92.654082 83.538312 \nL 96.54596 84.079307 \nL 100.82437 85.282979 \nL 105.392949 87.061449 \nL 110.155308 89.321517 \nL 115.018985 91.970649 \nL 119.898631 94.921763 \nL 124.71823 98.096328 \nL 129.412487 101.426169 \nL 133.927377 104.854035 \nL 138.220036 108.333252 \nL 142.258155 111.826814 \nL 146.019037 115.306164 \nL 149.488438 118.749811 \nL 152.659303 122.142022 \nL 155.530518 125.47154 \nL 158.105696 128.730574 \nL 160.392076 131.913851 \nL 162.399521 135.017913 \nL 164.139667 138.040565 \nL 165.625185 140.980411 \nL 166.869179 143.83653 \nL 167.884685 146.608218 \nL 168.684286 149.294819 \nL 169.279795 151.895565 \nL 169.682036 154.409476 \nL 169.900675 156.835271 \nL 169.944103 159.171286 \nL 169.819368 161.415374 \nL 169.532137 163.564876 \nL 169.086679 165.616494 \nL 168.485884 167.56621 \nL 167.731283 169.409198 \nL 166.823094 171.139671 \nL 165.760278 172.750781 \nL 164.540605 174.234442 \nL 163.160738 175.581182 \nL 161.61633 176.779952 \nL 159.902148 177.817917 \nL 158.012226 178.680256 \nL 155.940036 179.349964 \nL 153.67872 179.80763 \nL 151.221377 180.031262 \nL 148.561401 179.996148 \nL 145.692923 179.674804 \nL 142.611333 179.037018 \nL 139.313924 178.05008 \nL 135.800655 176.679228 \nL 132.075056 174.888436 \nL 128.145281 172.641545 \nL 124.025265 169.903945 \nL 119.736014 166.644759 \nL 115.306922 162.839723 \nL 110.777056 158.474644 \nL 106.196311 153.549417 \nL 101.626202 148.082406 \nL 97.140167 142.114787 \nL 92.823144 135.714345 \nL 88.77013 128.978023 \nL 85.083621 122.032444 \nL 81.869817 115.031686 \nL 79.233625 108.151726 \nL 77.272734 101.581558 \nL 76.071226 95.511362 \nL 75.693304 90.119006 \nL 76.17796 85.55646 \nL 77.535212 81.938185 \nL 79.744498 79.333059 \nL 82.755501 77.76132 \nL 86.49129 77.196383 \nL 90.853453 77.571367 \nL 95.728457 78.788701 \nL 100.994543 80.731187 \nL 106.528451 83.272964 \nL 112.21127 86.289004 \nL 117.933188 89.662357 \nL 123.59677 93.289049 \nL 129.118989 97.080537 \nL 134.431982 100.96435 \nL 139.482859 104.883316 \nL 144.232788 108.793959 \nL 148.655607 112.664443 \nL 152.736163 116.472405 \nL 156.468536 120.202918 \nL 159.854324 123.846693 \nL 162.901002 127.398531 \nL 165.62046 130.856144 \nL 168.027703 134.21917 \nL 170.139776 137.488483 \nL 171.974836 140.66567 \nL 173.551421 143.752669 \nL 174.887862 146.751532 \nL 176.001831 149.664236 \nL 176.909998 152.492622 \nL 177.627792 155.238279 \nL 178.169234 157.902545 \nL 178.546824 160.486465 \nL 178.77149 162.990781 \nL 178.852567 165.415891 \nL 178.797803 167.761853 \nL 178.613377 170.028344 \nL 178.303947 172.214612 \nL 177.872678 174.319462 \nL 177.321306 176.341144 \nL 176.650166 178.277341 \nL 175.858249 180.125022 \nL 174.943242 181.880358 \nL 173.901564 183.538609 \nL 172.728406 185.093951 \nL 171.417767 186.539311 \nL 169.9625 187.866162 \nL 168.354349 189.064286 \nL 166.584019 190.121522 \nL 164.641249 191.023459 \nL 162.514915 191.753105 \nL 160.19318 192.290543 \nL 157.663682 192.612552 \nL 154.913812 192.692232 \nL 151.931051 192.498655 \nL 148.703452 191.996569 \nL 145.220239 191.14622 \nL 141.472576 189.903358 \nL 137.454553 188.219536 \nL 133.164385 186.042811 \nL 128.605857 183.319039 \nL 123.79004 179.993906 \nL 118.73725 176.015924 \nL 113.479155 171.340502 \nL 108.061004 165.935282 \nL 102.543716 159.786622 \nL 97.005594 152.907033 \nL 91.543348 145.342992 \nL 86.27191 137.182169 \nL 81.322702 128.55872 \nL 76.839885 119.65513 \nL 72.974371 110.698899 \nL 69.875657 101.952903 \nL 67.681953 93.69928 \nL 66.509451 86.217845 \nL 66.442062 79.761721 \nL 67.52304 74.533875 \nL 69.749859 70.668606 \nL 73.073179 68.221493 \nL 77.400253 67.169068 \nL 82.602177 67.418133 \nL 88.5239 68.822037 \nL 94.995578 71.200538 \nL 101.843746 74.359731 \nL 108.901193 78.109189 \nL 116.014654 82.274616 \nL 123.050108 86.705656 \nL 129.895666 91.279281 \nL 136.462436 95.899666 \nL 142.683789 100.495863 \nL 148.513515 105.018146 \nL 153.923357 109.433939 \nL 158.900231 113.723869 \nL 163.443418 117.878285 \nL 167.561929 121.894298 \nL 171.272109 125.773522 \nL 174.595558 129.520329 \nL 177.557388 133.1406 \nL 180.184784 136.64085 \nL 182.505859 140.027685 \nL 184.548763 143.307448 \nL 186.341019 146.486051 \nL 187.909026 149.56886 \nL 189.277737 152.560712 \nL 190.47044 155.46592 \nL 192.412073 161.031403 \nL 193.884462 166.291493 \nL 195.010689 171.267529 \nL 196.26124 178.237429 \nL 197.478561 186.684811 \nL 198.818924 196.020021 \nL 199.735679 201.026876 \nL 200.456734 204.1327 \nL 201.302343 207.058529 \nL 202.307809 209.806432 \nL 203.513986 212.375009 \nL 204.969316 214.757975 \nL 206.73206 216.942049 \nL 207.750217 217.952696 \nL 208.872812 218.903807 \nL 210.111054 219.790107 \nL 211.477287 220.604977 \nL 212.985082 221.34018 \nL 214.649341 221.985519 \nL 216.486372 222.528431 \nL 218.513978 222.953494 \nL 220.751497 223.241848 \nL 223.219823 223.370515 \nL 225.941365 223.311605 \nL 228.939934 223.031422 \nL 232.240513 222.489453 \nL 235.868889 221.637291 \nL 239.851052 220.417528 \nL 244.212363 218.762706 \nL 248.976331 216.594498 \nL 254.162949 213.823309 \nL 259.786475 210.348676 \nL 265.852549 206.060879 \nL 272.35456 200.844391 \nL 279.269186 194.583853 \nL 286.551273 187.173363 \nL 294.128113 178.529674 \nL 301.893753 168.60959 \nL 309.704039 157.430951 \nL 317.37353 145.095381 \nL 324.675775 131.80908 \nL 331.3486 117.896364 \nL 337.105649 103.79934 \nL 341.654818 90.057709 \nL 344.722624 77.265965 \nL 346.081884 66.010922 \nL 345.578461 56.799508 \nL 343.151869 49.992113 \nL 338.845391 45.757713 \nL 332.803096 44.061517 \nL 325.254399 44.687047 \nL 316.489402 47.284535 \nL 306.82989 51.431796 \nL 296.601128 56.692989 \nL 286.108341 62.664893 \nL 275.620097 69.005966 \nL 265.358838 75.448771 \nL 246.162616 87.929318 \nL 229.364668 99.261276 \nL 215.230157 109.240576 \nL 209.136902 113.748989 \nL 203.649146 117.967399 \nL 198.722872 121.921602 \nL 194.309248 125.636497 \nL 190.357141 129.134772 \nL 186.815007 132.436234 \nL 180.760183 138.512577 \nL 175.766277 143.963846 \nL 165.851412 155.147388 \nL 162.254248 158.649121 \nL 160.43513 160.177177 \nL 158.575709 161.547459 \nL 156.658341 162.751207 \nL 154.667088 163.778161 \nL 152.587663 164.616512 \nL 150.4074 165.252901 \nL 148.115287 165.672404 \nL 145.702072 165.858585 \nL 143.160412 165.793583 \nL 140.485121 165.45833 \nL 137.673472 164.832838 \nL 134.725591 163.896651 \nL 131.644903 162.629497 \nL 128.438667 161.012088 \nL 125.118549 159.027249 \nL 121.701227 156.661231 \nL 118.208984 153.905333 \nL 114.670235 150.757712 \nL 111.119937 147.225416 \nL 107.599815 143.326411 \nL 104.158277 139.091527 \nL 100.849929 134.566023 \nL 97.734686 129.810559 \nL 94.876291 124.901208 \nL 92.340323 119.928355 \nL 90.19166 114.994178 \nL 88.491527 110.20875 \nL 87.294307 105.684937 \nL 86.644375 101.532327 \nL 86.573158 97.850893 \nL 87.096855 94.725065 \nL 88.214965 92.218764 \nL 89.90983 90.372137 \nL 92.147324 89.200291 \nL 94.87853 88.694144 \nL 98.042329 88.823047 \nL 101.568542 89.53885 \nL 105.381425 90.780734 \nL 109.403102 92.480236 \nL 113.556776 94.565951 \nL 117.76941 96.967443 \nL 121.973887 99.618342 \nL 126.110481 102.458376 \nL 130.127734 105.434533 \nL 133.982806 108.501467 \nL 137.641366 111.621319 \nL 141.077121 114.763155 \nL 144.271133 117.902198 \nL 147.210948 121.018895 \nL 149.889695 124.098056 \nL 152.305137 127.127958 \nL 154.458763 130.09963 \nL 156.354961 133.006177 \nL 158.000237 135.84224 \nL 159.402564 138.603544 \nL 160.570789 141.286536 \nL 161.514155 143.888098 \nL 162.241901 146.405316 \nL 162.762931 148.835291 \nL 163.085566 151.174973 \nL 163.217344 153.421056 \nL 163.164888 155.569826 \nL 162.933802 157.617074 \nL 162.528618 159.557984 \nL 161.95277 161.387006 \nL 161.2086 163.097766 \nL 160.297388 164.68293 \nL 159.219406 166.134089 \nL 157.974008 167.441621 \nL 156.559726 168.594551 \nL 154.974406 169.580415 \nL 153.215383 170.385134 \nL 151.279662 170.992889 \nL 149.164188 171.386057 \nL 146.866132 171.545114 \nL 144.383243 171.448684 \nL 141.714278 171.073653 \nL 138.859497 170.395366 \nL 135.821249 169.388069 \nL 132.604639 168.025463 \nL 129.218266 166.281641 \nL 125.675072 164.132225 \nL 121.993181 161.555924 \nL 118.196835 158.536454 \nL 114.317213 155.06481 \nL 110.393183 151.141883 \nL 106.471828 146.78125 \nL 102.608635 142.011954 \nL 98.867233 136.880946 \nL 95.318523 131.454902 \nL 92.039092 125.820835 \nL 89.108904 120.085226 \nL 86.608174 114.371232 \nL 84.613633 108.813872 \nL 83.194334 103.553335 \nL 82.407401 98.726855 \nL 82.294056 94.459983 \nL 82.87641 90.858257 \nL 84.155407 88.000286 \nL 86.110166 85.933325 \nL 88.698864 84.671624 \nL 91.861066 84.197892 \nL 95.521202 84.467344 \nL 99.592876 85.41363 \nL 103.983502 86.955709 \nL 108.59881 89.004772 \nL 113.346945 91.470487 \nL 118.141817 94.266021 \nL 122.905616 97.311684 \nL 127.570451 100.537076 \nL 132.079188 103.882184 \nL 136.385601 107.297301 \nL 140.453962 110.74244 \nL 144.258256 114.186239 \nL 147.781135 117.604719 \nL 151.012747 120.979962 \nL 153.949508 124.298915 \nL 156.592906 127.552287 \nL 158.948404 130.733597 \nL 161.024418 133.838448 \nL 162.831426 136.863884 \nL 164.381215 139.80792 \nL 165.686236 142.669159 \nL 166.759071 145.446547 \nL 167.612015 148.139124 \nL 168.256738 150.745903 \nL 168.704035 153.265695 \nL 168.963628 155.697057 \nL 169.044041 158.038173 \nL 168.95251 160.286775 \nL 168.694931 162.440067 \nL 168.275841 164.494649 \nL 167.698416 166.446389 \nL 166.964499 168.290355 \nL 166.074636 170.020677 \nL 165.02813 171.630409 \nL 163.823109 173.1114 \nL 162.456611 174.454112 \nL 160.924688 175.647457 \nL 159.22253 176.678601 \nL 157.344609 177.53277 \nL 155.284885 178.193024 \nL 153.037019 178.640126 \nL 150.594669 178.852319 \nL 147.951847 178.805263 \nL 145.103342 178.471968 \nL 142.045253 177.822876 \nL 138.775633 176.826153 \nL 135.295243 175.448147 \nL 131.608438 173.654181 \nL 127.724186 171.409742 \nL 123.657212 168.682145 \nL 119.429202 165.442721 \nL 115.070093 161.669607 \nL 110.619254 157.351128 \nL 106.126527 152.489649 \nL 101.652962 147.10571 \nL 97.270986 141.242111 \nL 93.063875 134.967361 \nL 89.124272 128.377869 \nL 85.551626 121.598196 \nL 82.448442 114.778631 \nL 79.915453 108.089631 \nL 78.045921 101.713197 \nL 76.91958 95.831509 \nL 76.596726 90.614209 \nL 77.113237 86.205608 \nL 78.477115 82.713899 \nL 80.667091 80.203816 \nL 83.633521 78.693772 \nL 87.301435 78.157869 \nL 91.575441 78.532017 \nL 96.345784 79.722978 \nL 101.494905 81.618817 \nL 106.903813 84.099201 \nL 112.457648 87.044329 \nL 118.050195 90.341869 \nL 123.587041 93.891569 \nL 128.987528 97.607718 \nL 134.185509 101.419765 \nL 139.129211 105.271724 \nL 143.78039 109.120689 \nL 148.113019 112.93495 \nL 152.111723 116.691951 \nL 155.770106 120.376359 \nL 159.089084 123.97836 \nL 162.075327 127.492196 \nL 164.739841 130.91498 \nL 167.096719 134.2458 \nL 169.162084 137.485006 \nL 170.953193 140.633701 \nL 172.487712 143.693377 \nL 173.783143 146.665667 \nL 174.856371 149.552187 \nL 175.723328 152.35439 \nL 176.398744 155.073521 \nL 176.895982 157.710569 \nL 177.226922 160.266225 \nL 177.4019 162.740842 \nL 177.429682 165.13443 \nL 177.317466 167.446599 \nL 177.070896 169.676551 \nL 176.6941 171.823012 \nL 176.189724 173.884159 \nL 175.558977 175.857579 \nL 174.801681 177.740165 \nL 173.916306 179.527993 \nL 172.900026 181.216218 \nL 171.748755 182.79894 \nL 170.457196 184.268996 \nL 169.018891 185.617798 \nL 167.42628 186.835084 \nL 165.670769 187.908686 \nL 163.742821 188.824228 \nL 161.632074 189.564832 \nL 159.327499 190.110787 \nL 156.817607 190.439185 \nL 154.090723 190.523616 \nL 151.13536 190.333834 \nL 147.940677 189.835529 \nL 144.497102 188.99021 \nL 140.79709 187.755262 \nL 136.836085 186.084324 \nL 132.613693 183.928062 \nL 128.135082 181.235495 \nL 123.412612 177.956035 \nL 118.467676 174.042456 \nL 113.332713 169.454838 \nL 108.053193 164.165629 \nL 102.689549 158.165803 \nL 97.318653 151.471701 \nL 92.034581 144.132175 \nL 86.948289 136.235009 \nL 82.185766 127.911452 \nL 77.884333 119.337387 \nL 74.186885 110.729766 \nL 71.234193 102.337321 \nL 69.15571 94.425401 \nL 68.059669 87.256019 \nL 68.023665 81.065623 \nL 69.087086 76.043748 \nL 71.246449 72.316369 \nL 74.454582 69.936671 \nL 78.623763 68.884835 \nL 83.632377 69.07627 \nL 89.334128 70.376315 \nL 95.568507 72.618218 \nL 102.171136 75.621356 \nL 108.982963 79.207045 \nL 115.857544 83.210431 \nL 122.666095 87.488078 \nL 129.300406 91.921361 \nL 135.673782 96.416853 \nL 141.720526 100.904326 \nL 147.394348 105.333667 \nL 152.666135 109.671156 \nL 157.521396 113.895895 \nL 161.957651 117.996537 \nL 165.981944 121.968534 \nL 169.608568 125.811933 \nL 172.857075 129.529716 \nL 175.750586 133.126548 \nL 178.314397 136.607941 \nL 180.574842 139.97965 \nL 182.558423 143.247339 \nL 184.291128 146.416355 \nL 185.797942 149.491621 \nL 187.102499 152.477621 \nL 188.226854 155.378373 \nL 190.014593 160.938279 \nL 191.302842 166.196222 \nL 192.206021 171.172724 \nL 192.813795 175.885178 \nL 193.194442 180.348806 \nL 193.445706 186.607116 \nL 193.407108 192.376945 \nL 193.135076 197.694494 \nL 192.645 202.591419 \nL 191.919155 207.094326 \nL 191.281829 209.887656 \nL 190.497079 212.518827 \nL 189.536023 214.989217 \nL 188.361757 217.296802 \nL 186.927889 219.434708 \nL 185.176649 221.389025 \nL 184.160286 222.290292 \nL 183.036561 223.135538 \nL 181.793945 223.919322 \nL 180.419689 224.634827 \nL 178.899722 225.273553 \nL 177.218549 225.824961 \nL 175.359153 226.276034 \nL 173.302919 226.610752 \nL 171.029573 226.809471 \nL 168.517157 226.848191 \nL 165.742062 226.697686 \nL 162.67915 226.322541 \nL 159.301978 225.680036 \nL 155.583203 224.718965 \nL 151.495186 223.378405 \nL 147.010912 221.586556 \nL 142.105292 219.259795 \nL 136.756958 216.302235 \nL 130.95067 212.606118 \nL 124.680481 208.053589 \nL 117.9537 202.520536 \nL 110.795798 195.883262 \nL 103.25604 188.028905 \nL 95.413759 178.870294 \nL 87.384571 168.365485 \nL 79.3257 156.541231 \nL 71.439102 143.518159 \nL 63.970635 129.533203 \nL 57.203545 114.953031 \nL 51.444809 100.270873 \nL 47.003898 86.080316 \nL 44.16525 73.023698 \nL 43.157727 61.719804 \nL 44.126332 52.683674 \nL 47.111612 46.256583 \nL 52.041757 42.563938 \nL 58.739243 41.511304 \nL 66.940687 42.81781 \nL 76.325637 46.075409 \nL 86.548555 50.817267 \nL 97.268451 56.579781 \nL 108.17234 62.948007 \nL 118.990855 69.581372 \nL 139.552437 82.689577 \nL 157.819384 94.704221 \nL 173.343007 105.255829 \nL 186.140164 114.400341 \nL 191.598076 118.508347 \nL 196.491438 122.345086 \nL 200.872737 125.93733 \nL 204.795905 129.308868 \nL 211.480826 135.467779 \nL 216.952064 140.943806 \nL 227.564122 152.031431 \nL 231.296343 155.453122 \nL 233.159439 156.93476 \nL 235.048586 158.255069 \nL 236.982117 159.405871 \nL 238.976345 160.377599 \nL 241.045642 161.159289 \nL 243.20247 161.738618 \nL 245.457374 162.101954 \nL 247.81888 162.234467 \nL 250.293382 162.120281 \nL 252.884919 161.742722 \nL 255.594917 161.084691 \nL 258.42186 160.129133 \nL 261.3609 158.859699 \nL 264.403424 157.261576 \nL 267.536599 155.32251 \nL 270.742896 153.034035 \nL 273.999675 150.392903 \nL 277.278819 147.4026 \nL 280.546538 144.07503 \nL 283.763338 140.432053 \nL 286.884277 136.506903 \nL 289.85958 132.345182 \nL 292.635605 128.005279 \nL 295.156279 123.557945 \nL 297.364931 119.084921 \nL 299.20651 114.676511 \nL 300.630098 110.42805 \nL 301.591501 106.43557 \nL 302.05581 102.790902 \nL 301.999598 99.576654 \nL 301.412652 96.861646 \nL 300.29893 94.697286 \nL 298.676747 93.115247 \nL 296.578048 92.126704 \nL 294.046919 91.723124 \nL 291.137433 91.878495 \nL 287.911036 92.552534 \nL 284.433708 93.694453 \nL 280.773185 95.246945 \nL 276.996322 97.14989 \nL 273.166919 99.343474 \nL 269.343911 101.770732 \nL 265.580144 104.379249 \nL 261.921568 107.122255 \nL 258.406908 109.95903 \nL 255.0677 112.854927 \nL 251.928616 115.780998 \nL 249.007993 118.713434 \nL 246.318512 121.63293 \nL 243.867943 124.523944 \nL 241.659924 127.374039 \nL 239.694712 130.17325 \nL 237.969905 132.913538 \nL 236.481101 135.588321 \nL 235.222472 138.19206 \nL 234.187284 140.719918 \nL 233.368327 143.167516 \nL 232.758288 145.530674 \nL 232.350026 147.805249 \nL 232.136828 149.986938 \nL 232.112575 152.071181 \nL 232.271875 154.05299 \nL 232.610155 155.926854 \nL 233.123703 157.686627 \nL 233.809692 159.325402 \nL 234.666146 160.835399 \nL 235.691904 162.207866 \nL 236.886552 163.432952 \nL 238.250295 164.499608 \nL 239.78384 165.395475 \nL 241.488216 166.106813 \nL 243.36456 166.618443 \nL 245.413872 166.913689 \nL 247.636706 166.974454 \nL 250.032817 166.7813 \nL 252.600751 166.313648 \nL 255.337356 165.550133 \nL 258.237261 164.469064 \nL 261.292247 163.049152 \nL 264.490605 161.270406 \nL 267.816445 159.115328 \nL 271.24897 156.570397 \nL 274.761832 153.627768 \nL 278.322518 150.287267 \nL 281.891912 146.558502 \nL 285.424126 142.462999 \nL 288.866602 138.036166 \nL 292.16071 133.328766 \nL 295.242806 128.407748 \nL 298.045887 123.355908 \nL 300.501831 118.27037 \nL 302.54417 113.259496 \nL 304.111221 108.438413 \nL 305.149454 103.923274 \nL 305.616759 99.824768 \nL 305.485281 96.241531 \nL 304.743595 93.254087 \nL 303.397883 90.920277 \nL 301.472032 89.272476 \nL 299.006532 88.317051 \nL 296.056375 88.035932 \nL 292.688112 88.390015 \nL 288.976407 89.323779 \nL 285.000381 90.770511 \nL 280.840064 92.657553 \nL 276.573268 94.910894 \nL 272.272963 97.459017 \nL 268.005319 100.235664 \nL 263.828417 103.181591 \nL 259.791553 106.245408 \nL 255.935098 109.383748 \nL 252.290775 112.560869 \nL 248.88226 115.747936 \nL 245.72598 118.922121 \nL 242.832035 122.065648 \nL 240.205177 125.164855 \nL 237.845778 128.209359 \nL 235.750737 131.191273 \nL 233.914323 134.104613 \nL 232.328917 136.944742 \nL 230.985675 139.707994 \nL 229.875076 142.391279 \nL 228.987385 144.991864 \nL 228.313033 147.507134 \nL 227.842919 149.93442 \nL 227.568641 152.270862 \nL 227.482674 154.513288 \nL 227.578492 156.658106 \nL 227.850652 158.701174 \nL 228.294838 160.637713 \nL 228.907877 162.462212 \nL 229.687723 164.168279 \nL 230.633422 165.748541 \nL 231.745049 167.194513 \nL 233.023631 168.496459 \nL 234.471024 169.643242 \nL 236.089791 170.622181 \nL 237.883024 171.418928 \nL 239.854147 172.017316 \nL 242.006658 172.399283 \nL 244.343833 172.544801 \nL 246.868355 172.431869 \nL 249.581896 172.03663 \nL 252.484588 171.333595 \nL 255.574429 170.296039 \nL 258.846601 168.896619 \nL 262.292679 167.108278 \nL 265.89978 164.905459 \nL 269.649645 162.265705 \nL 273.517694 159.171656 \nL 277.472146 155.613462 \nL 281.473196 151.591502 \nL 285.472493 147.119343 \nL 289.412886 142.226674 \nL 293.228724 136.961948 \nL 296.846716 131.394241 \nL 300.187602 125.614 \nL 303.168593 119.732046 \nL 305.706652 113.876647 \nL 307.72243 108.188379 \nL 309.144667 102.813001 \nL 309.914693 97.892809 \nL 309.990561 93.5574 \nL 309.3504 89.914898 \nL 307.994489 87.044785 \nL 305.945869 84.993386 \nL 303.249309 83.772366 \nL 299.968741 83.360577 \nL 296.183523 83.708541 \nL 291.983854 84.744872 \nL 287.465906 86.383647 \nL 282.727097 88.531724 \nL 277.861872 91.095142 \nL 272.958306 93.984313 \nL 268.095551 97.117646 \nL 263.34225 100.423659 \nL 258.755765 103.841807 \nL 254.382127 107.32242 \nL 250.256522 110.825882 \nL 246.404187 114.321421 \nL 242.841521 117.785769 \nL 239.577342 121.201798 \nL 236.614167 124.557214 \nL 233.949442 127.843448 \nL 231.576683 131.054694 \nL 229.486516 134.187153 \nL 227.667575 137.238421 \nL 226.10727 140.206987 \nL 224.792435 143.091902 \nL 223.70985 145.892499 \nL 222.846663 148.608191 \nL 222.190716 151.238322 \nL 221.730801 153.782036 \nL 221.456831 156.238213 \nL 221.359978 158.605371 \nL 221.432749 160.881571 \nL 221.669031 163.064381 \nL 222.064113 165.150771 \nL 222.614679 167.137017 \nL 223.318787 169.018624 \nL 224.175824 170.790187 \nL 225.186464 172.445284 \nL 226.352598 173.976305 \nL 227.677263 175.374319 \nL 229.164542 176.628875 \nL 230.819457 177.727814 \nL 232.647833 178.657065 \nL 234.656128 179.400411 \nL 236.851224 179.939297 \nL 239.240169 180.252642 \nL 241.829863 180.316666 \nL 244.626638 180.104776 \nL 247.635793 179.58759 \nL 250.860976 178.733088 \nL 254.303473 177.506947 \nL 257.96135 175.873198 \nL 261.82844 173.795216 \nL 265.893228 171.237165 \nL 270.137594 168.166051 \nL 274.535464 164.554303 \nL 279.051511 160.383052 \nL 283.639894 155.64603 \nL 288.243307 150.353866 \nL 292.792418 144.538558 \nL 297.206019 138.257622 \nL 301.392033 131.597285 \nL 305.249653 124.673871 \nL 308.672687 117.632717 \nL 311.554187 110.643891 \nL 313.792101 103.89443 \nL 315.295648 97.577393 \nL 315.991781 91.878647 \nL 315.831058 86.962891 \nL 314.7921 82.960892 \nL 312.884111 79.959844 \nL 310.146938 77.998223 \nL 306.648744 77.065866 \nL 302.481481 77.108998 \nL 297.754854 78.038981 \nL 292.589411 79.743214 \nL 287.109599 82.096482 \nL 281.437497 84.971193 \nL 275.687544 88.245665 \nL 269.962704 91.809863 \nL 264.351966 95.568764 \nL 258.929152 99.443609 \nL 253.752798 103.371515 \nL 248.866847 107.304103 \nL 244.301915 111.205521 \nL 240.076914 115.050269 \nL 236.200794 118.821036 \nL 232.67433 122.506803 \nL 229.491808 126.101184 \nL 226.642579 129.601093 \nL 224.11241 133.005702 \nL 221.884661 136.31564 \nL 219.941272 139.532396 \nL 218.263556 142.657929 \nL 216.832855 145.694357 \nL 215.631023 148.643809 \nL 214.640819 151.508249 \nL 213.846178 154.289457 \nL 213.232395 156.988941 \nL 212.786267 159.607928 \nL 212.496149 162.147357 \nL 212.351992 164.607838 \nL 212.345349 166.989655 \nL 212.469345 169.292722 \nL 212.718651 171.516574 \nL 213.089439 173.6603 \nL 213.579339 175.72252 \nL 214.187386 177.70128 \nL 214.913978 179.594012 \nL 215.76083 181.397421 \nL 216.730939 183.107359 \nL 217.828547 184.718697 \nL 219.059099 186.225168 \nL 220.429212 187.619178 \nL 221.946634 188.891581 \nL 223.620197 190.031443 \nL 225.459752 191.025759 \nL 227.47608 191.859131 \nL 229.68079 192.513443 \nL 232.08614 192.967475 \nL 234.704841 193.196527 \nL 237.549745 193.172035 \nL 240.633454 192.861231 \nL 243.967817 192.226875 \nL 247.563251 191.227107 \nL 251.427888 189.815555 \nL 255.566519 187.941752 \nL 259.979275 185.552031 \nL 264.660071 182.591079 \nL 269.594775 179.004327 \nL 274.75914 174.74134 \nL 280.116594 169.760459 \nL 285.616021 164.034617 \nL 291.189694 157.558399 \nL 296.751744 150.355804 \nL 302.197511 142.488194 \nL 307.404217 134.06112 \nL 312.233447 125.228661 \nL 316.535785 116.193575 \nL 320.157761 107.201603 \nL 322.95089 98.52917 \nL 324.78218 90.464558 \nL 325.545094 83.284459 \nL 325.169411 77.228818 \nL 323.628701 72.478428 \nL 320.943969 69.138992 \nL 317.182976 67.234621 \nL 312.455115 66.711601 \nL 306.902769 67.45108 \nL 300.690367 69.287655 \nL 293.992733 72.03012 \nL 286.984089 75.480977 \nL 279.828846 79.452214 \nL 272.674739 83.776185 \nL 265.648455 88.311636 \nL 258.853626 92.945474 \nL 252.370667 97.591606 \nL 246.258065 102.187822 \nL 240.554578 106.691788 \nL 235.281914 111.076894 \nL 230.44761 115.328357 \nL 226.047813 119.439907 \nL 222.069893 123.411058 \nL 218.494723 127.245041 \nL 215.298647 130.947253 \nL 212.455118 134.524182 \nL 209.936024 137.98266 \nL 207.712729 141.329392 \nL 205.756876 144.570727 \nL 204.040981 147.712477 \nL 202.538847 150.759897 \nL 201.225849 153.71768 \nL 199.077504 159.380581 \nL 197.43455 164.729453 \nL 196.16374 169.787022 \nL 194.725323 176.867432 \nL 192.61262 189.385786 \nL 191.584533 194.901145 \nL 190.395289 199.959042 \nL 189.451315 203.085487 \nL 188.34014 206.01759 \nL 187.016613 208.752668 \nL 185.428194 211.282359 \nL 183.512529 213.590201 \nL 182.409167 214.65272 \nL 181.19482 215.648046 \nL 179.857731 216.569973 \nL 178.385006 217.410774 \nL 176.762529 218.160894 \nL 174.974872 218.808574 \nL 173.005235 219.339414 \nL 170.835392 219.735826 \nL 168.445676 219.976444 \nL 165.815018 220.035385 \nL 162.921041 219.881454 \nL 159.740272 219.477232 \nL 156.248473 218.778102 \nL 152.421161 217.731244 \nL 148.234365 216.274693 \nL 143.6657 214.336553 \nL 138.695843 211.834603 \nL 133.310502 208.67654 \nL 127.50295 204.761257 \nL 121.277268 199.981681 \nL 114.652249 194.229746 \nL 107.66606 187.40421 \nL 100.381307 179.421863 \nL 92.890344 170.232471 \nL 85.320007 159.837155 \nL 77.834954 148.308784 \nL 70.638299 135.811677 \nL 63.968133 122.616163 \nL 58.088619 109.102496 \nL 53.275013 95.748418 \nL 49.792812 83.096863 \nL 47.873085 71.704709 \nL 47.687158 62.079093 \nL 49.325326 54.613715 \nL 52.783706 49.539396 \nL 57.962335 46.900848 \nL 64.675033 46.564569 \nL 72.669058 48.253906 \nL 81.650586 51.600772 \nL 91.311391 56.200902 \nL 101.352677 61.661642 \nL 111.503382 67.635637 \nL 121.531959 73.839124 \nL 131.251918 80.056825 \nL 149.244809 91.984425 \nL 164.832757 102.790874 \nL 171.663413 107.725678 \nL 177.864423 112.359278 \nL 183.464032 116.710781 \nL 188.500216 120.80256 \nL 193.017197 124.657492 \nL 197.062694 128.297229 \nL 200.685825 131.741256 \nL 203.935544 135.006417 \nL 209.503432 141.054002 \nL 214.120676 146.522257 \nL 223.434722 157.891505 \nL 226.884883 161.515224 \nL 228.645051 163.113983 \nL 230.454265 164.561419 \nL 232.329806 165.848733 \nL 234.287537 166.965552 \nL 236.341964 167.899857 \nL 238.50627 168.637892 \nL 240.79228 169.164114 \nL 243.210364 169.461156 \nL 245.769285 169.509865 \nL 248.475945 169.289397 \nL 251.335084 168.777426 \nL 254.348852 167.950485 \nL 257.516318 166.784501 \nL 260.832881 165.255571 \nL 264.289598 163.340968 \nL 267.872467 161.020496 \nL 271.561667 158.278165 \nL 275.330809 155.10418 \nL 279.146285 151.497267 \nL 282.966766 147.467156 \nL 286.742979 143.037131 \nL 290.417865 138.246374 \nL 293.927221 133.151763 \nL 297.200989 127.828827 \nL 300.16518 122.371392 \nL 302.744519 116.889627 \nL 304.865689 111.506354 \nL 306.46108 106.351519 \nL 307.472685 101.555299 \nL 307.855883 97.240278 \nL 307.582688 93.513678 \nL 306.644102 90.460492 \nL 305.051238 88.138423 \nL 302.835145 86.575253 \nL 300.045234 85.768891 \nL 296.746533 85.689999 \nL 293.01607 86.286553 \nL 288.938725 87.489788 \nL 284.602984 89.220451 \nL 280.096979 91.394844 \nL 275.50504 93.929989 \nL 270.904986 96.747602 \nL 266.366163 99.776829 \nL 261.948291 102.955755 \nL 257.700966 106.231918 \nL 253.663761 109.562101 \nL 249.866751 112.911598 \nL 246.331348 116.253172 \nL 243.071309 119.565902 \nL 240.093858 122.834056 \nL 237.400788 126.046005 \nL 234.98956 129.193304 \nL 232.854281 132.269881 \nL 230.986617 135.271404 \nL 229.376559 138.194739 \nL 228.013106 141.037547 \nL 226.884831 143.797977 \nL 225.980327 146.474394 \nL 225.288585 149.065212 \nL 224.799278 151.568739 \nL 224.502981 153.983047 \nL 224.391332 156.305876 \nL 224.457139 158.534535 \nL 224.694455 160.665806 \nL 225.098605 162.695858 \nL 225.666208 164.620141 \nL 226.395146 166.433288 \nL 227.284541 168.128971 \nL 228.334699 169.699798 \nL 229.547034 171.137154 \nL 230.923977 172.431033 \nL 232.468873 173.569903 \nL 234.185835 174.540509 \nL 236.079576 175.32769 \nL 238.155207 175.91424 \nL 240.417972 176.28073 \nL 242.872952 176.405415 \nL 245.524685 176.264181 \nL 248.376692 175.830598 \nL 251.430954 175.076099 \nL 254.687231 173.970338 \nL 258.142314 172.481823 \nL 261.78914 170.578839 \nL 265.61581 168.230759 \nL 269.604513 165.409821 \nL 273.730398 162.093375 \nL 277.960474 158.266698 \nL 282.252597 153.926216 \nL 286.554714 149.083082 \nL 290.804438 143.766853 \nL 294.929244 138.028832 \nL 298.847356 131.944642 \nL 302.469554 125.61533 \nL 305.701985 119.166549 \nL 308.450007 112.74514 \nL 310.622878 106.513008 \nL 312.139034 100.638408 \nL 312.93154 95.285308 \nL 312.953073 90.601935 \nL 312.179927 86.710084 \nL 310.614424 83.696457 \nL 308.285481 81.60753 \nL 305.247109 80.448396 \nL 301.575129 80.185651 \nL 297.362412 80.753608 \nL 292.713266 82.062717 \nL 287.737554 84.008813 \nL 282.545136 86.481901 \nL 277.241103 89.373732 \nL 271.921958 92.583468 \nL 266.673008 96.021386 \nL 261.566863 99.610799 \nL 256.662844 103.288461 \nL 252.007253 107.003945 \nL 247.634196 110.718308 \nL 243.56679 114.402422 \nL 239.818592 118.035242 \nL 236.395109 121.602101 \nL 233.295304 125.09326 \nL 230.512987 128.502619 \nL 228.0381 131.826693 \nL 225.857832 135.06381 \nL 223.95758 138.213474 \nL 222.321764 141.275933 \nL 220.934472 144.251796 \nL 219.779997 147.14185 \nL 218.843247 149.946856 \nL 218.110054 152.667431 \nL 217.567406 155.303994 \nL 217.203611 157.856657 \nL 217.008398 160.325232 \nL 216.972981 162.709139 \nL 217.09009 165.007361 \nL 217.353971 167.218417 \nL 217.760373 169.340281 \nL 218.306521 171.370305 \nL 218.991076 173.305134 \nL 219.814093 175.140626 \nL 220.776973 176.871698 \nL 221.882412 178.492204 \nL 223.134339 179.99477 \nL 224.537853 181.37061 \nL 226.099143 182.609325 \nL 227.825407 183.698664 \nL 229.724726 184.624267 \nL 231.805932 185.369403 \nL 234.078422 185.914688 \nL 236.551931 186.23779 \nL 239.236214 186.313176 \nL 242.140683 186.111884 \nL 245.273911 185.6014 \nL 248.64301 184.745645 \nL 252.252882 183.505187 \nL 256.105287 181.837744 \nL 260.197737 179.699068 \nL 264.522176 177.044379 \nL 269.063505 173.830453 \nL 273.797952 170.018463 \nL 278.691327 165.577732 \nL 283.697364 160.49036 \nL 288.756213 154.756614 \nL 293.793397 148.400805 \nL 298.719467 141.477087 \nL 303.430693 134.074411 \nL 307.811146 126.319562 \nL 311.736304 118.377136 \nL 315.078433 110.445379 \nL 317.713456 102.747343 \nL 319.528967 95.517386 \nL 320.432603 88.984099 \nL 320.359863 83.351742 \nL 319.280226 78.782906 \nL 317.200739 75.385137 \nL 314.166426 73.203789 \nL 310.257402 72.222181 \nL 305.583109 72.368375 \nL 300.274483 73.527357 \nL 294.475068 75.555784 \nL 288.332188 78.297089 \nL 281.989024 81.594762 \nL 275.57829 85.302664 \nL 269.217668 89.291743 \nL 263.007111 93.453464 \nL 257.027777 97.700557 \nL 251.342266 101.965815 \nL 245.995826 106.19973 \nL 241.018154 110.36756 \nL 236.425552 114.446362 \nL 232.223178 118.422206 \nL 228.407227 122.287779 \nL 224.966954 126.040419 \nL 221.886487 129.680583 \nL 219.146375 133.210666 \nL 216.724904 136.63421 \nL 214.599157 139.955262 \nL 212.745865 143.178042 \nL 211.142077 146.306672 \nL 209.765648 149.345039 \nL 208.595609 152.296722 \nL 207.612409 155.164992 \nL 206.798076 157.952783 \nL 206.136302 160.662737 \nL 205.213664 165.85831 \nL 204.747549 170.767642 \nL 204.666285 175.403209 \nL 204.921168 179.774378 \nL 205.484024 183.887324 \nL 206.345071 187.744546 \nL 207.511311 191.343958 \nL 209.005555 194.677338 \nL 209.887035 196.239491 \nL 210.866091 197.728097 \nL 211.949969 199.139236 \nL 213.146943 200.467968 \nL 214.466343 201.708155 \nL 215.91859 202.852245 \nL 217.515222 203.89098 \nL 219.268916 204.813115 \nL 221.193503 205.605027 \nL 223.30395 206.250318 \nL 225.61632 206.729313 \nL 228.147681 207.018541 \nL 230.915952 207.090122 \nL 233.939655 206.911143 \nL 237.23757 206.442983 \nL 240.828205 205.640716 \nL 244.729109 204.452558 \nL 248.955909 202.819554 \nL 253.521055 200.67561 \nL 258.432202 197.948062 \nL 263.69019 194.559114 \nL 269.286556 190.428392 \nL 275.200607 185.477077 \nL 281.396077 179.633914 \nL 287.81757 172.843458 \nL 294.386986 165.076591 \nL 301.000488 156.342985 \nL 307.526517 146.70459 \nL 313.805749 136.288278 \nL 319.653745 125.295107 \nL 324.867168 114.002889 \nL 329.233965 102.758848 \nL 332.547277 91.960218 \nL 334.622114 82.022777 \nL 335.312848 73.34071 \nL 334.528903 66.244121 \nL 332.245857 60.962331 \nL 328.509936 57.600873 \nL 323.43474 56.136622 \nL 317.190829 56.431536 \nL 309.990034 58.26051 \nL 302.06721 61.346474 \nL 293.662125 65.395253 \nL 285.003887 70.124742 \nL 276.29911 75.285021 \nL 267.724428 80.669377 \nL 259.422962 86.117254 \nL 251.504072 91.5117 \nL 244.045433 96.773387 \nL 237.096573 101.853339 \nL 230.683131 106.725562 \nL 224.811268 111.380501 \nL 219.47188 115.819627 \nL 214.644379 120.051224 \nL 210.299958 124.087292 \nL 206.404313 127.941398 \nL 202.919826 131.627231 \nL 199.807296 135.15776 \nL 197.027243 138.544736 \nL 194.540884 141.798459 \nL 192.31081 144.927754 \nL 188.479307 150.841288 \nL 185.273995 156.329171 \nL 177.340828 170.43009 \nL 174.708268 174.337864 \nL 173.317542 176.131715 \nL 171.857234 177.812169 \nL 170.312958 179.37266 \nL 168.670614 180.80517 \nL 166.916294 182.100085 \nL 165.036203 183.245933 \nL 163.016623 184.229161 \nL 160.84391 185.03388 \nL 158.504562 185.641578 \nL 155.985328 186.030841 \nL 153.273396 186.177091 \nL 150.356687 186.052354 \nL 147.224249 185.625109 \nL 143.866773 184.860249 \nL 140.27727 183.719247 \nL 136.451912 182.160565 \nL 132.391058 180.14047 \nL 128.100486 177.614293 \nL 123.592811 174.5384 \nL 118.889051 170.872822 \nL 114.020336 166.584792 \nL 109.029576 161.65318 \nL 103.972999 156.073694 \nL 98.921312 149.864696 \nL 93.960226 143.073072 \nL 89.18999 135.779423 \nL 84.723685 128.101642 \nL 80.683965 120.19566 \nL 77.198068 112.25236 \nL 74.391284 104.489797 \nL 72.379177 97.140751 \nL 71.259191 90.436379 \nL 71.102666 84.587791 \nL 71.948238 79.768238 \nL 73.797604 76.098622 \nL 76.614373 73.638835 \nL 80.326177 72.38614 \nL 84.829852 72.280628 \nL 89.998826 73.216216 \nL 95.691885 75.055014 \nL 101.762042 77.642564 \nL 108.064716 80.821613 \nL 114.464494 84.443137 \nL 120.840064 88.37394 \nL 127.087334 92.500719 \nL 133.120854 96.731452 \nL 138.873865 100.994524 \nL 144.297272 105.2366 \nL 149.35796 109.419793 \nL 154.03671 113.518669 \nL 158.325952 117.517419 \nL 162.227568 121.407351 \nL 165.750822 125.184844 \nL 168.9105 128.84971 \nL 171.725297 132.403971 \nL 174.216465 135.850914 \nL 176.406679 139.194512 \nL 178.319148 142.438934 \nL 179.976905 145.588323 \nL 181.40228 148.646611 \nL 182.616503 151.617448 \nL 183.639438 154.504167 \nL 184.489399 157.309762 \nL 185.183053 160.036931 \nL 186.159659 165.265375 \nL 186.669014 170.205775 \nL 186.785378 174.870907 \nL 186.559743 179.270369 \nL 186.022271 183.410576 \nL 185.184469 187.29429 \nL 184.040856 190.919738 \nL 182.570003 194.279144 \nL 181.700914 195.854485 \nL 180.734927 197.35651 \nL 179.664957 198.78141 \nL 178.48289 200.124388 \nL 177.179565 201.379462 \nL 175.74473 202.539262 \nL 174.167022 203.594764 \nL 172.433939 204.534988 \nL 170.531831 205.346638 \nL 168.445911 206.013685 \nL 166.160292 206.516916 \nL 163.658074 206.833377 \nL 160.92149 206.935806 \nL 157.932128 206.791988 \nL 154.671286 206.364115 \nL 151.120457 205.608153 \nL 147.262014 204.473297 \nL 143.080112 202.901633 \nL 138.561913 200.828102 \nL 133.699157 198.181018 \nL 128.490113 194.883365 \nL 122.942015 190.855211 \nL 117.07391 186.017592 \nL 110.919958 180.298273 \nL 104.532947 173.639684 \nL 97.987863 166.009101 \nL 91.385011 157.410867 \nL 84.85215 147.899741 \nL 78.544826 137.593701 \nL 72.644059 126.683734 \nL 67.350653 115.437394 \nL 62.875557 104.192821 \nL 59.426421 93.340998 \nL 57.191281 83.29586 \nL 56.321072 74.455135 \nL 56.913723 67.157953 \nL 59.002289 61.647221 \nL 62.549656 58.044564 \nL 67.450769 56.343181 \nL 73.542164 56.419185 \nL 80.617036 58.057884 \nL 88.44325 60.988116 \nL 96.781506 64.917379 \nL 105.401279 69.561763 \nL 114.093125 74.667262 \nL 122.676713 80.021863 \nL 131.004824 85.45946 \nL 138.963989 90.857934 \nL 146.472694 96.133511 \nL 153.477988 101.233613 \nL 159.951325 106.12956 \nL 165.884158 110.809846 \nL 171.283705 115.274613 \nL 176.169117 119.53132 \nL 180.568144 123.591491 \nL 184.51437 127.468474 \nL 188.044948 131.17592 \nL 191.198826 134.726847 \nL 194.015386 138.133128 \nL 196.533436 141.405225 \nL 198.790491 144.552115 \nL 202.662522 150.499185 \nL 205.891855 156.019465 \nL 213.814164 170.222458 \nL 216.419394 174.170114 \nL 217.792389 175.985893 \nL 219.232293 177.689945 \nL 220.75351 179.276002 \nL 222.370139 180.736397 \nL 224.096087 182.061889 \nL 225.945149 183.241444 \nL 227.931053 184.261999 \nL 230.06747 185.108202 \nL 232.36797 185.762134 \nL 234.845921 186.203032 \nL 237.514309 186.407002 \nL 240.385483 186.346793 \nL 243.47078 185.991589 \nL 246.780038 185.306966 \nL 250.320965 184.254974 \nL 254.098313 182.79448 \nL 258.11292 180.881887 \nL 262.360488 178.472262 \nL 266.830233 175.521148 \nL 271.503299 171.987009 \nL 276.351099 167.834598 \nL 281.333578 163.039195 \nL 286.397628 157.59168 \nL 291.475779 151.504316 \nL 296.485504 144.816694 \nL 301.329368 137.601254 \nL 305.896465 129.967403 \nL 310.065276 122.063074 \nL 313.708274 114.072641 \nL 316.698172 106.210209 \nL 318.915549 98.708159 \nL 320.257211 91.80137 \nL 320.644475 85.708943 \nL 320.03025 80.615738 \nL 318.403943 76.656718 \nL 315.793375 73.906673 \nL 312.263417 72.376906 \nL 307.911428 72.019175 \nL 302.860185 72.735758 \nL 297.24929 74.393439 \nL 291.226133 76.838899 \nL 284.937403 79.913158 \nL 278.521912 83.463429 \nL 272.105194 87.351518 \nL 265.795959 91.458745 \nL 259.684304 95.687824 \nL 253.841408 99.96243 \nL 248.320353 104.225208 \nL 243.157713 108.43504 \nL 238.375595 112.564013 \nL 233.983881 116.594495 \nL 229.982478 120.51652 \nL 226.363433 124.32564 \nL 223.112855 128.021154 \nL 220.212601 131.604791 \nL 217.641687 135.079751 \nL 215.377476 138.449998 \nL 213.396623 141.719776 \nL 211.675826 144.893325 \nL 210.192389 147.974709 \nL 208.92465 150.96771 \nL 207.852272 153.875778 \nL 206.956439 156.702027 \nL 206.219975 159.449279 \nL 205.164903 164.716561 \nL 204.583314 169.694706 \nL 204.397178 174.397252 \nL 204.551937 178.834629 \nL 205.014019 183.014264 \nL 205.768557 186.940226 \nL 206.817606 190.612469 \nL 208.178985 194.025576 \nL 208.986538 195.631337 \nL 209.885765 197.166833 \nL 210.883201 198.628875 \nL 211.98638 200.013389 \nL 213.20386 201.315263 \nL 214.545263 202.528151 \nL 216.021302 203.644238 \nL 217.643819 204.653968 \nL 219.425802 205.545716 \nL 221.3814 206.305416 \nL 223.52591 206.916131 \nL 225.875722 207.357551 \nL 228.448231 207.605438 \nL 231.261665 207.631008 \nL 234.334838 207.400289 \nL 237.686758 206.873445 \nL 241.336098 206.004152 \nL 245.300445 204.739063 \nL 249.595301 203.01753 \nL 254.232771 200.77167 \nL 259.21986 197.927066 \nL 264.556348 194.404332 \nL 270.232229 190.121926 \nL 276.22465 185.000566 \nL 282.494473 178.969679 \nL 288.982622 171.976112 \nL 295.606537 163.99519 \nL 302.257138 155.043623 \nL 308.797078 145.193283 \nL 315.061024 134.58375 \nL 320.858891 123.430961 \nL 325.982742 112.028462 \nL 330.217782 100.738049 \nL 333.357068 89.96793 \nL 335.218765 80.138852 \nL 335.663812 71.64231 \nL 334.611298 64.797502 \nL 332.048759 59.815909 \nL 328.035387 56.780773 \nL 322.697326 55.645732 \nL 316.215976 56.251825 \nL 308.811318 58.357852 \nL 300.723169 61.67671 \nL 292.193125 65.910198 \nL 283.44934 70.777178 \nL 274.695365 76.032252 \nL 266.103347 81.475189 \nL 257.811166 86.952593 \nL 249.922736 92.35443 \nL 242.510489 97.60749 \nL 235.619185 102.667824 \nL 229.270301 107.51338 \nL 223.466497 112.137527 \nL 218.195823 116.543801 \nL 213.435448 120.741861 \nL 209.154852 124.744554 \nL 205.318466 128.565931 \nL 201.887789 132.21989 \nL 198.823033 135.719428 \nL 196.084372 139.076212 \nL 193.632854 142.300398 \nL 189.443406 148.384009 \nL 185.979536 154.022474 \nL 180.304349 164.078604 \nL 177.713113 168.515403 \nL 175.077055 172.547975 \nL 173.700106 174.405327 \nL 172.263087 176.150764 \nL 170.751147 177.778347 \nL 169.149852 179.280791 \nL 167.445066 180.649287 \nL 165.622851 181.873299 \nL 163.669419 182.940345 \nL 161.571107 183.835746 \nL 159.314407 184.542373 \nL 156.88605 185.040369 \nL 154.273169 185.30689 \nL 151.463528 185.315878 \nL 148.445863 185.037865 \nL 145.210345 184.439915 \nL 141.749154 183.485682 \nL 138.057258 182.135741 \nL 134.133311 180.348179 \nL 129.980781 178.079683 \nL 125.609255 175.287142 \nL 121.035902 171.929902 \nL 116.287068 167.972887 \nL 111.399923 163.390475 \nL 106.424037 158.171275 \nL 101.422651 152.323514 \nL 96.473468 145.880747 \nL 91.66866 138.907227 \nL 87.113729 131.502138 \nL 82.925007 123.801613 \nL 79.225575 115.977449 \nL 76.139562 108.231654 \nL 73.78506 100.786407 \nL 72.266203 93.869813 \nL 71.665149 87.698798 \nL 72.034938 82.461395 \nL 73.394273 78.300909 \nL 75.724928 75.304782 \nL 78.972365 73.499653 \nL 83.049332 72.853526 \nL 87.842146 73.283897 \nL 93.218623 74.670378 \nL 99.036764 76.869149 \nL 105.153082 79.727196 \nL 111.429901 83.094355 \nL 117.741045 86.832336 \nL 123.975762 90.820389 \nL 130.040911 94.957865 \nL 135.861669 99.164485 \nL 141.381028 103.378849 \nL 146.558481 107.55599 \nL 151.368161 111.664584 \nL 155.796734 115.684084 \nL 159.841212 119.602127 \nL 163.506883 123.41235 \nL 166.805368 127.112567 \nL 169.752936 130.703376 \nL 172.369037 134.187115 \nL 174.675092 137.567118 \nL 176.693487 140.847167 \nL 178.446796 144.031166 \nL 179.957163 147.122906 \nL 181.245846 150.125968 \nL 182.332885 153.04365 \nL 183.236883 155.878934 \nL 183.974857 158.63449 \nL 184.56217 161.312702 \nL 185.337862 166.445315 \nL 185.653631 171.290748 \nL 185.574085 175.859327 \nL 185.140922 180.157856 \nL 184.375158 184.189216 \nL 183.279014 187.951552 \nL 181.837273 191.436835 \nL 180.977475 193.070859 \nL 180.018021 194.628657 \nL 178.95234 196.106352 \nL 177.772805 197.499064 \nL 176.470722 198.800748 \nL 175.036306 200.003965 \nL 173.458667 201.099621 \nL 171.725789 202.076693 \nL 169.824548 202.92186 \nL 167.740716 203.619124 \nL 165.45903 204.14935 \nL 162.963278 204.489757 \nL 160.236468 204.613372 \nL 157.261062 204.488441 \nL 154.019342 204.077821 \nL 150.493898 203.338427 \nL 146.668327 202.220768 \nL 142.528128 200.668675 \nL 138.061921 198.61938 \nL 133.262958 196.004122 \nL 128.131049 192.749511 \nL 122.674886 188.779993 \nL 116.914775 184.021704 \nL 110.885741 178.408086 \nL 104.640826 171.88752 \nL 98.254358 164.432972 \nL 91.824774 156.053448 \nL 85.476442 146.806341 \nL 79.359728 136.809028 \nL 73.648594 126.24752 \nL 68.534983 115.379118 \nL 64.21963 104.526297 \nL 60.899339 94.059709 \nL 58.751746 84.37025 \nL 57.919113 75.832856 \nL 58.49354 68.767523 \nL 60.50609 63.404714 \nL 63.921815 59.862214 \nL 68.641783 58.138277 \nL 74.51183 58.121518 \nL 81.336399 59.614556 \nL 88.89527 62.3654 \nL 96.96047 66.099733 \nL 105.311352 70.548995 \nL 113.746301 75.470717 \nL 122.090615 80.66039 \nL 130.200572 85.955955 \nL 137.964348 91.236528 \nL 145.300576 96.417632 \nL 152.155341 101.444828 \nL 158.498356 106.286907 \nL 164.318872 110.929685 \nL 169.621656 115.370729 \nL 174.423339 119.615152 \nL 178.749209 123.672483 \nL 182.630502 127.554405 \nL 186.102195 131.273262 \nL 189.20125 134.841061 \nL 191.96525 138.268909 \nL 194.43139 141.566752 \nL 196.635741 144.743236 \nL 200.394929 150.760524 \nL 203.494274 156.366166 \nL 207.373232 164.063983 \nL 210.85338 170.946574 \nL 213.192737 175.080089 \nL 215.691146 178.831551 \nL 217.035199 180.55488 \nL 218.460557 182.169662 \nL 219.980586 183.669117 \nL 221.608647 185.045 \nL 223.35818 186.287387 \nL 225.242772 187.384421 \nL 227.276182 188.322047 \nL 229.472335 189.0837 \nL 231.845248 189.64999 \nL 234.408915 189.998368 \nL 237.177091 190.102787 \nL 240.163004 189.933408 \nL 243.378936 189.456365 \nL 246.835665 188.633657 \nL 250.541739 187.423202 \nL 254.502583 185.779216 \nL 258.71935 183.652976 \nL 263.187573 180.994116 \nL 267.89558 177.752649 \nL 272.822688 173.88186 \nL 277.937262 169.34221 \nL 283.194722 164.106308 \nL 288.535689 158.164919 \nL 293.884509 151.533758 \nL 299.148488 144.260479 \nL 304.218202 136.431032 \nL 308.969292 128.174198 \nL 313.266066 119.662816 \nL 316.967136 111.11046 \nL 319.932941 102.762401 \nL 322.034809 94.880892 \nL 323.164722 87.725666 \nL 323.244598 81.532058 \nL 322.233906 76.489909 \nL 320.134351 72.726885 \nL 316.990875 70.299057 \nL 312.888713 69.190313 \nL 307.946987 69.320052 \nL 302.309662 70.557394 \nL 296.135321 72.738836 \nL 289.586887 75.686207 \nL 282.822456 79.222379 \nL 275.988018 83.183317 \nL 269.212335 87.42566 \nL 262.603944 91.83046 \nL 256.250112 96.303588 \nL 250.21728 100.774018 \nL 244.552553 105.190751 \nL 239.28589 109.519263 \nL 234.432604 113.737911 \nL 229.995942 117.834706 \nL 225.969561 121.804575 \nL 222.339786 125.647147 \nL 219.087604 129.365063 \nL 216.190353 132.962741 \nL 213.623131 136.445483 \nL 211.359925 139.818912 \nL 209.374506 143.088567 \nL 207.641107 146.259721 \nL 206.134931 149.337239 \nL 204.832501 152.325537 \nL 203.711895 155.228626 \nL 201.936986 160.793178 \nL 200.669388 166.055596 \nL 199.795545 171.03623 \nL 199.226784 175.752323 \nL 198.896054 180.218896 \nL 198.754511 184.449339 \nL 198.826497 190.378406 \nL 199.187192 195.839317 \nL 199.821239 200.862675 \nL 200.40642 203.980697 \nL 201.139681 206.920159 \nL 202.044902 209.6838 \nL 203.154077 212.271221 \nL 204.508412 214.677635 \nL 206.159853 216.891958 \nL 207.116637 217.921235 \nL 208.173066 218.894003 \nL 209.339606 219.805626 \nL 210.627838 220.650275 \nL 212.050551 221.420661 \nL 213.621839 222.107738 \nL 215.357183 222.700323 \nL 217.273542 223.18466 \nL 219.389409 223.543882 \nL 221.724856 223.757389 \nL 224.301521 223.800108 \nL 227.142548 223.641659 \nL 230.272418 223.245387 \nL 233.71667 222.567317 \nL 237.501448 221.555036 \nL 241.652792 220.146588 \nL 246.195648 218.269475 \nL 251.152466 215.839975 \nL 256.541297 212.763027 \nL 262.373279 208.933082 \nL 268.649407 204.236422 \nL 275.356524 198.555641 \nL 282.462503 191.777018 \nL 289.91077 183.80153 \nL 297.614462 174.560033 \nL 305.450858 164.032575 \nL 313.257004 152.270739 \nL 320.827892 139.420386 \nL 327.918693 125.740318 \nL 334.252744 111.610698 \nL 339.53624 97.524589 \nL 343.479704 84.057513 \nL 345.824559 71.814535 \nL 346.371345 61.361009 \nL 345.004594 53.149805 \nL 341.709473 47.461832 \nL 336.576198 44.374349 \nL 329.79118 43.764627 \nL 321.616636 45.345848 \nL 312.36299 48.723705 \nL 302.359362 53.458837 \nL 291.926786 59.1215 \nL 281.357489 65.330764 \nL 270.90143 71.775773 \nL 260.759891 78.221808 \nL 241.981894 90.522929 \nL 225.721166 101.569037 \nL 212.138668 111.254107 \nL 206.306204 115.626026 \nL 201.062421 119.717558 \nL 196.360392 123.554658 \nL 192.149624 127.161637 \nL 188.378287 130.560137 \nL 181.949231 136.8029 \nL 176.682916 142.394738 \nL 164.621698 155.765071 \nL 162.817307 157.505092 \nL 161.003432 159.096859 \nL 159.159589 160.533787 \nL 157.267219 161.807839 \nL 155.309558 162.909514 \nL 153.271557 163.827792 \nL 151.139822 164.550123 \nL 148.902636 165.062417 \nL 146.550011 165.349084 \nL 144.073826 165.3931 \nL 141.468032 165.176175 \nL 138.728912 164.679015 \nL 135.855434 163.881698 \nL 132.849663 162.764242 \nL 129.717258 161.307325 \nL 126.468006 159.493276 \nL 123.116394 157.307283 \nL 119.682223 154.738858 \nL 116.191108 151.783545 \nL 112.67497 148.44484 \nL 109.17229 144.736149 \nL 105.728159 140.682761 \nL 102.393981 136.323525 \nL 99.226741 131.712032 \nL 96.287795 126.917066 \nL 93.641108 122.021936 \nL 91.351016 117.122608 \nL 89.479442 112.324449 \nL 88.082919 107.737705 \nL 87.209393 103.471925 \nL 86.895272 99.629857 \nL 87.162919 96.301422 \nL 88.018814 93.558369 \nL 89.452723 91.450441 \nL 91.437872 90.003215 \nL 93.93219 89.218057 \nL 96.880462 89.073954 \nL 100.217208 89.530946 \nL 103.869977 90.5345 \nL 107.762744 92.020432 \nL 111.819174 93.919596 \nL 115.965497 96.162164 \nL 120.132826 98.68093 \nL 124.258934 101.413799 \nL 128.289361 104.305297 \nL 132.177984 107.307305 \nL 135.887104 110.379132 \nL 139.387146 113.487118 \nL 142.656082 116.603986 \nL 145.678658 119.708001 \nL 148.445509 122.782089 \nL 150.952264 125.812978 \nL 153.198624 128.790417 \nL 155.187522 131.706503 \nL 156.924321 134.555088 \nL 158.416134 137.331298 \nL 159.671195 140.031114 \nL 160.698353 142.651098 \nL 161.506634 145.188105 \nL 162.104883 147.639086 \nL 162.501488 150.000913 \nL 162.70416 152.270254 \nL 162.719769 154.443421 \nL 162.554232 156.516283 \nL 162.212439 158.484126 \nL 161.698212 160.341564 \nL 161.014306 162.082421 \nL 160.16242 163.699621 \nL 159.143258 165.185049 \nL 157.956587 166.529433 \nL 156.601343 167.722198 \nL 155.075758 168.751375 \nL 153.377505 169.603407 \nL 151.503902 170.263091 \nL 149.452146 170.713461 \nL 147.219582 170.935725 \nL 144.80405 170.909285 \nL 142.204285 170.611825 \nL 139.420392 170.019499 \nL 136.454394 169.107292 \nL 133.310868 167.84959 \nL 129.997664 166.220952 \nL 126.526686 164.197218 \nL 122.914745 161.756907 \nL 119.184421 158.883032 \nL 115.364903 155.565228 \nL 111.492739 151.802204 \nL 107.612384 147.604447 \nL 103.776486 142.996916 \nL 100.04571 138.021507 \nL 96.488045 132.738967 \nL 93.177425 127.229803 \nL 90.191652 121.593788 \nL 87.609531 115.947712 \nL 85.507366 110.42121 \nL 83.955017 105.150688 \nL 83.01169 100.271766 \nL 82.722024 95.910914 \nL 83.112737 92.17717 \nL 84.190308 89.155031 \nL 85.93996 86.899447 \nL 88.326136 85.433448 \nL 91.294369 84.748787 \nL 94.774388 84.809134 \nL 98.684128 85.555377 \nL 102.934149 86.912102 \nL 107.432128 88.794374 \nL 112.086962 91.113953 \nL 116.812263 93.784632 \nL 121.529045 96.726093 \nL 126.167598 99.866495 \nL 130.668515 103.143798 \nL 134.983044 106.506063 \nL 139.072856 109.911005 \nL 142.909379 113.325096 \nL 146.472851 116.722372 \nL 149.751217 120.083203 \nL 152.738933 123.393074 \nL 155.435801 126.641476 \nL 157.845852 129.820962 \nL 159.976332 132.926345 \nL 161.836781 135.954052 \nL 163.438261 138.901612 \nL 164.792681 141.76726 \nL 165.912248 144.549636 \nL 166.80901 147.247552 \nL 167.494509 149.859831 \nL 167.979503 152.385143 \nL 168.273756 154.82192 \nL 168.385893 157.168243 \nL 168.323294 159.421756 \nL 168.092039 161.57959 \nL 167.696877 163.638267 \nL 167.141215 165.593607 \nL 166.42715 167.440623 \nL 165.555488 169.173406 \nL 164.525812 170.784981 \nL 163.336533 172.267188 \nL 161.984989 173.610489 \nL 160.467544 174.803824 \nL 158.779709 175.834408 \nL 156.9163 176.68755 \nL 154.871635 177.346475 \nL 152.639758 177.792114 \nL 150.214731 178.002986 \nL 147.590985 177.955094 \nL 144.763758 177.621894 \nL 141.729613 176.974408 \nL 138.487082 175.981484 \nL 135.037399 174.610319 \nL 131.385384 172.827231 \nL 127.540427 170.598876 \nL 123.517618 167.893862 \nL 119.338897 164.684934 \nL 115.034287 160.951684 \nL 110.643051 156.683862 \nL 106.214659 151.885067 \nL 101.809446 146.576752 \nL 97.498737 140.802087 \nL 93.364299 134.62921 \nL 89.496818 128.153249 \nL 85.993406 121.496408 \nL 82.953899 114.805527 \nL 80.4762 108.246636 \nL 78.650754 101.996568 \nL 77.554712 96.232069 \nL 77.246287 91.117525 \nL 77.75995 86.792833 \nL 79.103168 83.36299 \nL 81.255074 80.891118 \nL 84.167301 79.3958 \nL 87.766962 78.85281 \nL 91.961323 79.200984 \nL 96.643641 80.350845 \nL 101.69946 82.194546 \nL 107.01277 84.615723 \nL 112.471386 87.498167 \nL 117.971348 90.732509 \nL 123.420029 94.220742 \nL 128.738034 97.87871 \nL 133.860037 101.636851 \nL 138.734658 105.439626 \nL 143.323703 109.244215 \nL 147.600924 113.018716 \nL 151.550516 116.740194 \nL 155.165503 120.39288 \nL 158.446145 123.966446 \nL 161.398391 127.454641 \nL 164.032514 130.854101 \nL 166.361886 134.163459 \nL 168.401927 137.382667 \nL 170.169226 140.512465 \nL 171.680826 143.554005 \nL 172.95365 146.508634 \nL 174.004045 149.377663 \nL 174.847448 152.1623 \nL 175.498134 154.863542 \nL 175.969038 157.482111 \nL 176.271645 160.018434 \nL 176.415923 162.472596 \nL 176.410286 164.844324 \nL 176.261597 167.132912 \nL 175.975176 169.337213 \nL 175.554837 171.455553 \nL 175.002914 173.48569 \nL 174.320319 175.424709 \nL 173.50657 177.268941 \nL 172.55985 179.013837 \nL 171.477049 180.653828 \nL 170.253816 182.182184 \nL 168.88461 183.590819 \nL 167.362762 184.870087 \nL 165.680548 186.008538 \nL 163.829281 186.992674 \nL 161.799417 187.806646 \nL 159.580717 188.431948 \nL 157.162431 188.847105 \nL 154.533565 189.027338 \nL 151.683212 188.944295 \nL 148.600985 188.565796 \nL 145.277582 187.855702 \nL 141.705479 186.773954 \nL 137.879813 185.276864 \nL 133.799447 183.317757 \nL 129.468266 180.848113 \nL 124.896667 177.819332 \nL 120.10326 174.185343 \nL 115.116739 169.906073 \nL 109.977792 164.951974 \nL 104.740926 159.309565 \nL 99.476016 152.98773 \nL 94.269211 146.024423 \nL 89.222931 138.49294 \nL 84.454556 130.506811 \nL 80.093421 122.221912 \nL 76.275978 113.834559 \nL 73.139021 105.574456 \nL 70.811361 97.692159 \nL 69.40459 90.441624 \nL 69.003934 84.059774 \nL 69.66036 78.745797 \nL 71.385146 74.643701 \nL 74.147762 71.830895 \nL 77.877517 70.314828 \nL 82.468715 70.03787 \nL 87.788561 70.889017 \nL 93.686759 72.719873 \nL 100.005459 75.361936 \nL 106.58849 78.642546 \nL 113.289079 82.397685 \nL 119.975511 86.48078 \nL 126.534745 90.767623 \nL 132.874077 95.157831 \nL 138.921223 99.573956 \nL 144.623238 103.958986 \nL 149.944618 108.273066 \nL 154.865001 112.49009 \nL 159.376697 116.594467 \nL 163.482238 120.578301 \nL 167.19212 124.439085 \nL 170.522768 128.177903 \nL 173.494785 131.79803 \nL 176.131481 135.304001 \nL 178.457666 138.700896 \nL 180.498691 141.993903 \nL 182.279708 145.188067 \nL 183.825105 148.288101 \nL 185.158104 151.298346 \nL 186.300482 154.222744 \nL 187.2724 157.06485 \nL 188.776916 162.514684 \nL 189.798489 167.669908 \nL 190.437363 172.548801 \nL 190.769673 177.166821 \nL 190.85052 181.537277 \nL 190.717028 185.671689 \nL 190.391016 189.579924 \nL 189.881126 193.270094 \nL 189.184337 196.748247 \nL 188.28684 200.017854 \nL 187.164315 203.078927 \nL 185.781622 205.926775 \nL 184.091935 208.550065 \nL 183.113814 209.771484 \nL 182.035378 210.928039 \nL 180.8468 212.014979 \nL 179.537193 213.026357 \nL 178.094533 213.954777 \nL 176.50559 214.791099 \nL 174.755857 215.524103 \nL 172.829502 216.140057 \nL 170.709328 216.622244 \nL 168.376762 216.950386 \nL 165.811906 217.09999 \nL 162.993627 217.041595 \nL 159.899752 216.73995 \nL 156.507396 216.153125 \nL 152.793428 215.231588 \nL 148.735187 213.91734 \nL 144.311462 212.143216 \nL 139.503836 209.832497 \nL 134.298483 206.899092 \nL 128.688494 203.248672 \nL 122.676795 198.78112 \nL 116.279742 193.394911 \nL 109.531288 186.993956 \nL 102.487694 179.497487 \nL 95.232375 170.853308 \nL 87.880397 161.054156 \nL 80.581798 150.156199 \nL 73.522631 138.297363 \nL 66.922504 125.711817 \nL 61.027376 112.735763 \nL 56.096803 99.799516 \nL 52.385823 87.402041 \nL 50.122705 76.067822 \nL 49.485441 66.290711 \nL 50.580791 58.474518 \nL 53.42981 52.883203 \nL 57.963134 49.612208 \nL 64.027036 48.587202 \nL 71.399172 49.589122 \nL 79.810884 52.297727 \nL 88.971911 56.342079 \nL 98.593667 61.347272 \nL 108.408141 66.970109 \nL 118.180981 72.92096 \nL 127.718725 78.972592 \nL 136.870937 84.959127 \nL 145.528528 90.768763 \nL 153.619632 96.333667 \nL 161.104191 101.619294 \nL 167.968138 106.614749 \nL 174.217774 111.324686 \nL 179.874709 115.763118 \nL 184.971498 119.948876 \nL 189.548039 123.902499 \nL 193.648681 127.644204 \nL 197.319982 131.192717 \nL 200.609004 134.564617 \nL 203.562073 137.774086 \nL 208.637056 143.750531 \nL 212.8746 149.18981 \nL 219.945299 158.579577 \nL 223.23103 162.531499 \nL 224.893336 164.311575 \nL 226.595027 165.953694 \nL 228.354109 167.450589 \nL 230.187321 168.793491 \nL 232.110254 169.971997 \nL 234.137407 170.973993 \nL 236.282242 171.785504 \nL 238.557127 172.39059 \nL 240.973265 172.771264 \nL 243.540532 172.907435 \nL 246.267235 172.776945 \nL 249.159789 172.355675 \nL 252.222295 171.617783 \nL 255.456006 170.536163 \nL 258.858709 169.083084 \nL 262.423979 167.231147 \nL 266.140363 164.954605 \nL 269.990485 162.231018 \nL 273.950123 159.043371 \nL 277.987341 155.382591 \nL 282.061723 151.250416 \nL 286.123865 146.662456 \nL 290.115202 141.651183 \nL 293.968385 136.268631 \nL 297.608305 130.588211 \nL 300.953883 124.705232 \nL 303.920741 118.735722 \nL 306.424665 112.81303 \nL 308.385754 107.082248 \nL 309.733021 101.692581 \nL 310.408997 96.788264 \nL 310.373907 92.49899 \nL 309.608943 88.93101 \nL 308.118205 86.160177 \nL 305.929044 84.227685 \nL 303.090726 83.139178 \nL 299.671577 82.86716 \nL 295.754922 83.356093 \nL 291.434302 84.529307 \nL 286.808434 86.296699 \nL 281.976439 88.562125 \nL 277.033634 91.229897 \nL 272.068186 94.20974 \nL 267.158726 97.420217 \nL 262.37288 100.790644 \nL 257.766639 104.26169 \nL 253.384458 107.785084 \nL 249.259844 111.322681 \nL 245.416357 114.845144 \nL 241.868784 118.330508 \nL 238.624442 121.762792 \nL 235.6845 125.130692 \nL 233.045209 128.426473 \nL 230.699062 131.645035 \nL 228.635819 134.783127 \nL 226.843403 137.838803 \nL 225.30865 140.810923 \nL 224.01794 143.698839 \nL 222.957709 146.502135 \nL 222.11485 149.22044 \nL 221.477035 151.853269 \nL 221.032938 154.399947 \nL 220.772417 156.859497 \nL 220.686624 159.230578 \nL 220.768085 161.511414 \nL 221.010732 163.699706 \nL 221.409924 165.792566 \nL 221.962426 167.786431 \nL 222.666396 169.676969 \nL 223.521338 171.458954 \nL 224.528054 173.126145 \nL 225.688583 174.671131 \nL 227.006121 176.085182 \nL 228.48494 177.358046 \nL 230.130278 178.477782 \nL 231.948205 179.430528 \nL 233.945466 180.200266 \nL 236.129285 180.768622 \nL 238.50711 181.114648 \nL 241.086304 181.214641 \nL 243.873766 181.042008 \nL 246.875443 180.56725 \nL 250.095749 179.758057 \nL 253.536847 178.579599 \nL 257.197802 176.995138 \nL 261.073584 174.966929 \nL 265.15393 172.457644 \nL 269.422059 169.432303 \nL 273.853307 165.860856 \nL 278.413745 161.721432 \nL 283.058841 157.004265 \nL 287.732409 151.716139 \nL 292.365883 145.885013 \nL 296.878324 139.564508 \nL 301.177263 132.837487 \nL 305.160648 125.817947 \nL 308.720116 118.650427 \nL 311.745531 111.506183 \nL 314.130702 104.575709 \nL 315.779942 98.057832 \nL 316.614797 92.14618 \nL 316.580308 87.014593 \nL 315.649937 82.80345 \nL 313.8285 79.60901 \nL 311.152642 77.477331 \nL 307.688698 76.403683 \nL 303.528308 76.337122 \nL 298.782247 77.189391 \nL 293.573351 78.846046 \nL 288.029245 81.178451 \nL 282.275735 84.054644 \nL 276.431213 87.348174 \nL 270.602528 90.944389 \nL 264.882273 94.744104 \nL 259.347428 98.665045 \nL 254.059178 102.641564 \nL 249.06357 106.623223 \nL 244.392809 110.572723 \nL 240.0669 114.463643 \nL 236.095471 118.278169 \nL 232.479619 122.005083 \nL 229.213666 125.638008 \nL 226.286756 129.174009 \nL 223.68429 132.612506 \nL 221.389129 135.954403 \nL 219.382629 139.201504 \nL 217.645463 142.35608 \nL 216.158295 145.420573 \nL 214.902295 148.397385 \nL 213.859535 151.288788 \nL 213.013264 154.096835 \nL 212.348115 156.82331 \nL 211.850228 159.469734 \nL 211.507328 162.037323 \nL 211.308747 164.526998 \nL 211.245433 166.939369 \nL 211.309919 169.274709 \nL 211.496295 171.532953 \nL 211.80015 173.713635 \nL 212.218537 175.815882 \nL 212.749912 177.838324 \nL 213.394092 179.779043 \nL 214.15221 181.635512 \nL 215.026674 183.404453 \nL 216.021135 185.081748 \nL 217.140455 186.662295 \nL 218.390678 188.139832 \nL 219.779005 189.506761 \nL 221.313756 190.753907 \nL 223.004337 191.870275 \nL 224.861183 192.842753 \nL 226.895678 193.655785 \nL 229.120058 194.291015 \nL 231.547248 194.726897 \nL 234.190663 194.938268 \nL 237.063903 194.895963 \nL 240.180385 194.56641 \nL 243.552801 193.911333 \nL 247.192465 192.887576 \nL 251.108428 191.447143 \nL 255.306399 189.53758 \nL 259.78738 187.10287 \nL 264.546063 184.084958 \nL 269.568904 180.426187 \nL 274.831954 176.072813 \nL 280.298522 170.979797 \nL 285.916791 165.116968 \nL 291.617604 158.476421 \nL 297.312761 151.08088 \nL 302.894229 142.992175 \nL 308.234768 134.318744 \nL 313.190454 125.220424 \nL 317.60552 115.908798 \nL 321.319644 106.641312 \nL 324.177561 97.708157 \nL 326.040262 89.412133 \nL 326.796608 82.043374 \nL 326.373883 75.852465 \nL 324.745658 71.026356 \nL 321.935581 67.671662 \nL 318.016416 65.808182 \nL 313.104446 65.373535 \nL 307.350048 66.237357 \nL 300.925946 68.221645 \nL 294.014834 71.123109 \nL 286.797799 74.73386 \nL 279.444751 78.857808 \nL 272.1074 83.321777 \nL 264.914943 87.981285 \nL 257.972194 92.722004 \nL 251.359655 97.457991 \nL 245.135067 102.128111 \nL 239.335825 106.691693 \nL 233.981894 111.123979 \nL 229.078857 115.412085 \nL 224.620832 119.55149 \nL 220.593173 123.543286 \nL 216.974819 127.392061 \nL 213.740309 131.104325 \nL 210.861434 134.687486 \nL 208.308567 138.149089 \nL 206.051706 141.496439 \nL 204.061262 144.736301 \nL 202.30864 147.874821 \nL 200.766638 150.91751 \nL 198.214102 156.734262 \nL 196.221168 162.219 \nL 194.634556 167.397045 \nL 192.746556 174.631894 \nL 189.621188 187.358214 \nL 188.520097 191.118222 \nL 187.293875 194.644765 \nL 185.887415 197.936424 \nL 184.242433 200.985943 \nL 182.294411 203.777995 \nL 181.184161 205.069685 \nL 179.969623 206.28586 \nL 178.639667 207.420625 \nL 177.182228 208.466661 \nL 175.584232 209.414955 \nL 173.831524 210.254474 \nL 171.908811 210.971784 \nL 169.799636 211.550601 \nL 167.486375 211.971253 \nL 164.950283 212.210119 \nL 162.171606 212.238924 \nL 159.129784 212.024042 \nL 155.803759 211.525695 \nL 152.172466 210.697201 \nL 148.215503 209.484242 \nL 143.914074 207.824343 \nL 139.252256 205.646649 \nL 134.218673 202.872253 \nL 128.808625 199.415391 \nL 123.026747 195.185832 \nL 116.890221 190.092959 \nL 110.432512 184.052029 \nL 103.707467 176.992991 \nL 96.793532 168.872145 \nL 89.797588 159.686335 \nL 82.857725 149.488866 \nL 76.143998 138.40507 \nL 69.85619 126.644611 \nL 64.21749 114.5065 \nL 59.463503 102.372635 \nL 55.826604 90.686869 \nL 53.516798 79.919144 \nL 52.701195 70.518271 \nL 53.485387 62.861058 \nL 55.90001 57.207971 \nL 59.895216 53.675201 \nL 65.344391 52.229095 \nL 72.056413 52.703302 \nL 79.794141 54.832909 \nL 88.295804 58.296821 \nL 97.295918 62.759194 \nL 106.54302 67.902999 \nL 115.812725 73.452436 \nL 124.915623 79.183997 \nL 133.700589 84.928346 \nL 142.054415 90.565947 \nL 149.898877 96.019163 \nL 157.186359 101.243303 \nL 163.894818 106.217943 \nL 170.022711 110.939441 \nL 175.58429 115.414907 \nL 180.60544 119.657677 \nL 185.120157 123.684054 \nL 189.167681 127.511131 \nL 192.790202 131.155399 \nL 196.031095 134.631946 \nL 198.933605 137.954044 \nL 201.539891 141.133027 \nL 206.023314 147.097559 \nL 209.777571 152.580179 \nL 217.570669 164.330453 \nL 220.565343 168.240972 \nL 222.117176 170.014644 \nL 223.728397 171.659576 \nL 225.415136 173.168299 \nL 227.192754 174.531797 \nL 229.075953 175.739393 \nL 231.078824 176.778517 \nL 233.214884 177.634558 \nL 235.497029 178.290651 \nL 237.937437 178.727511 \nL 240.547408 178.923278 \nL 243.337117 178.853412 \nL 246.315256 178.490684 \nL 249.488579 177.805262 \nL 252.861328 176.765027 \nL 256.434521 175.33607 \nL 260.205092 173.483562 \nL 264.164895 171.172999 \nL 268.299603 168.371926 \nL 272.587479 165.052251 \nL 276.998166 161.193139 \nL 281.491486 156.7845 \nL 286.016455 151.830924 \nL 290.51064 146.355904 \nL 294.900056 140.40588 \nL 299.099858 134.053633 \nL 303.015961 127.40026 \nL 306.547813 120.575099 \nL 309.592357 113.732866 \nL 312.049034 107.0476 \nL 313.825635 100.703467 \nL 314.844451 94.883058 \nL 315.04815 89.75434 \nL 314.404606 85.457978 \nL 312.91013 82.096767 \nL 310.590562 79.728887 \nL 307.500013 78.365797 \nL 303.717454 77.97489 \nL 299.341585 78.486282 \nL 294.484567 79.80225 \nL 289.265374 81.807914 \nL 283.80349 84.38146 \nL 278.213421 87.402972 \nL 272.600345 90.760935 \nL 267.057153 94.356637 \nL 261.662654 98.106265 \nL 256.480999 101.941322 \nL 251.561954 105.807798 \nL 246.941836 109.664592 \nL 242.644901 113.48156 \nL 238.68495 117.237459 \nL 235.067029 120.91801 \nL 231.789082 124.514225 \nL 228.843519 128.020974 \nL 226.218604 131.435844 \nL 223.899692 134.758265 \nL 221.870259 137.988835 \nL 220.112776 141.128828 \nL 218.609409 144.179858 \nL 217.342577 147.143636 \nL 216.295382 150.021834 \nL 215.451931 152.815942 \nL 214.797575 155.527236 \nL 214.319059 158.15673 \nL 214.004631 160.705118 \nL 213.844093 163.172791 \nL 213.828824 165.559767 \nL 213.951774 167.865684 \nL 214.207441 170.089764 \nL 214.591841 172.230754 \nL 215.102463 174.286866 \nL 215.738223 176.255706 \nL 216.499427 178.134207 \nL 217.387717 179.918482 \nL 218.406035 181.603728 \nL 219.558572 183.18408 \nL 220.850729 184.652426 \nL 222.289069 186.000221 \nL 223.88126 187.217251 \nL 225.636003 188.291393 \nL 227.562953 189.208318 \nL 229.672596 189.951183 \nL 231.976097 190.500301 \nL 234.485103 190.832785 \nL 237.21146 190.922213 \nL 240.166856 190.738303 \nL 243.36235 190.246658 \nL 246.807777 189.408645 \nL 250.510975 188.181435 \nL 254.476824 186.518362 \nL 258.706081 184.369668 \nL 263.193968 181.683808 \nL 267.928538 178.409483 \nL 272.888809 174.498565 \nL 278.042754 169.910072 \nL 283.345239 164.615258 \nL 288.736087 158.603775 \nL 294.13855 151.890634 \nL 299.458445 144.523481 \nL 304.584444 136.589158 \nL 309.389868 128.21846 \nL 313.736359 119.587506 \nL 317.479606 110.914322 \nL 320.477101 102.449636 \nL 322.597456 94.461655 \nL 323.730423 87.215927 \nL 323.796471 80.952738 \nL 322.754599 75.86531 \nL 320.60713 72.082676 \nL 317.40066 69.66015 \nL 313.222976 68.578844 \nL 308.196344 68.753976 \nL 302.468196 70.049631 \nL 296.200529 72.297159 \nL 289.559402 75.313674 \nL 282.705564 78.918136 \nL 275.787052 82.943582 \nL 268.934044 87.244751 \nL 262.255926 91.701634 \nL 255.840282 96.219775 \nL 249.753448 100.72834 \nL 244.04212 105.176823 \nL 238.735618 109.531395 \nL 233.848486 113.771182 \nL 229.383123 117.884945 \nL 225.332317 121.868323 \nL 221.681543 125.721564 \nL 218.410968 129.447841 \nL 215.497172 133.052036 \nL 212.914551 136.539822 \nL 210.63645 139.917118 \nL 208.636063 143.189718 \nL 206.887101 146.363086 \nL 205.364291 149.442247 \nL 204.043722 152.431753 \nL 202.903075 155.335697 \nL 201.080902 160.901265 \nL 199.754148 166.164187 \nL 198.806507 171.145248 \nL 198.146394 175.862063 \nL 197.703477 180.330052 \nL 197.335066 186.59544 \nL 197.21951 192.373843 \nL 197.345551 199.385313 \nL 197.737861 205.676551 \nL 198.213895 209.963589 \nL 198.879109 213.907854 \nL 199.453228 216.356411 \nL 200.156905 218.664837 \nL 201.018243 220.834893 \nL 202.072538 222.865548 \nL 203.363824 224.751768 \nL 204.946826 226.48265 \nL 206.889334 228.038631 \nL 208.020852 228.741547 \nL 209.275055 229.38724 \nL 210.665431 229.968584 \nL 212.206897 230.476688 \nL 213.915905 230.900493 \nL 215.810553 231.226302 \nL 217.910686 231.437203 \nL 220.237965 231.512383 \nL 222.815896 231.426311 \nL 225.669813 231.147785 \nL 228.826752 230.63883 \nL 232.315212 229.853462 \nL 236.164737 228.736334 \nL 240.405234 227.221343 \nL 245.065978 225.23029 \nL 250.174164 222.671805 \nL 255.752911 219.440812 \nL 261.818546 215.41898 \nL 268.377043 210.476814 \nL 275.419509 204.478104 \nL 282.916671 197.287788 \nL 290.812422 188.784188 \nL 299.016796 178.876469 \nL 307.398999 167.527496 \nL 315.781662 154.781049 \nL 323.937884 140.790373 \nL 331.593085 125.842477 \nL 338.433778 110.370372 \nL 344.12464 94.944241 \nL 348.334236 80.234692 \nL 350.767133 66.946985 \nL 351.198138 55.734334 \nL 349.502268 47.107541 \nL 345.673927 41.363211 \nL 339.83059 38.549512 \nL 332.199984 38.477518 \nL 323.093497 40.772395 \nL 312.871797 44.947607 \nL 301.909409 50.482015 \nL 290.563995 56.883606 \nL 279.153858 63.731454 \nL 267.944581 70.695132 \nL 246.903392 84.098099 \nL 228.460162 96.071929 \nL 212.945592 106.396989 \nL 200.248626 115.223805 \nL 190.023893 122.809222 \nL 181.832667 129.393346 \nL 175.226391 135.158339 \nL 167.395376 142.519137 \nL 161.035024 148.49448 \nL 157.159143 151.720196 \nL 155.250149 153.096368 \nL 153.331299 154.307147 \nL 151.383903 155.34515 \nL 149.391642 156.201779 \nL 147.340483 156.867249 \nL 145.218638 157.330711 \nL 143.016562 157.580374 \nL 140.727009 157.603669 \nL 138.345138 157.387514 \nL 135.868678 156.91859 \nL 133.298122 156.183776 \nL 130.637006 155.170683 \nL 127.892174 153.86831 \nL 125.074092 152.267831 \nL 122.197168 150.363528 \nL 119.280019 148.153831 \nL 116.345699 145.642494 \nL 113.421816 142.839759 \nL 110.540522 139.763514 \nL 107.738273 136.440305 \nL 105.055377 132.906061 \nL 102.535287 129.206453 \nL 100.223522 125.396695 \nL 98.166349 121.540652 \nL 96.409149 117.709262 \nL 94.994607 113.978207 \nL 93.960745 110.424924 \nL 93.33898 107.125181 \nL 93.152369 104.149413 \nL 93.41414 101.55927 \nL 94.126711 99.404543 \nL 95.281228 97.720945 \nL 96.857736 96.528882 \nL 98.825986 95.833258 \nL 101.146731 95.62438 \nL 103.773465 95.879734 \nL 106.654471 96.566409 \nL 109.734913 97.64382 \nL 112.958956 99.066554 \nL 116.271692 100.787015 \nL 119.620727 102.757622 \nL 122.957547 104.932671 \nL 126.238419 107.269607 \nL 129.424999 109.729841 \nL 132.48461 112.279151 \nL 135.390236 114.887773 \nL 138.120297 117.530197 \nL 140.658274 120.184829 \nL 142.99221 122.833562 \nL 145.11415 125.46127 \nL 147.019554 128.055337 \nL 148.706715 130.60517 \nL 150.176188 133.101809 \nL 151.430278 135.537532 \nL 152.472577 137.905516 \nL 153.307544 140.199586 \nL 153.940149 142.413948 \nL 154.375566 144.542985 \nL 154.618952 146.581103 \nL 154.675225 148.522554 \nL 154.548933 150.361286 \nL 154.24415 152.090857 \nL 153.764407 153.704284 \nL 153.112677 155.193959 \nL 152.291362 156.551539 \nL 151.30236 157.767856 \nL 150.14712 158.83285 \nL 148.82676 159.735481 \nL 147.342203 160.463683 \nL 145.694351 161.004374 \nL 143.88431 161.343427 \nL 141.913627 161.465774 \nL 139.784608 161.355512 \nL 137.500644 160.996137 \nL 135.0666 160.370825 \nL 132.489257 159.462922 \nL 129.777774 158.256504 \nL 126.944184 156.737121 \nL 124.003921 154.892765 \nL 120.976316 152.714971 \nL 117.885068 150.200119 \nL 114.758638 147.350832 \nL 111.630505 144.177502 \nL 108.539232 140.699748 \nL 105.528295 136.947706 \nL 102.645602 132.962988 \nL 99.942622 128.799158 \nL 97.473162 124.521426 \nL 95.291706 120.205521 \nL 93.451444 115.93558 \nL 92.00196 111.801078 \nL 90.986865 107.892943 \nL 90.441413 104.299084 \nL 90.390354 101.099789 \nL 90.846284 98.363405 \nL 91.808567 96.142707 \nL 93.26303 94.472504 \nL 95.182428 93.368568 \nL 97.527661 92.827972 \nL 100.249656 92.830822 \nL 103.291698 93.342955 \nL 106.592037 94.319319 \nL 110.086494 95.707585 \nL 113.710989 97.451664 \nL 117.403695 99.494798 \nL 121.106848 101.782037 \nL 124.768062 104.262156 \nL 128.341218 106.888771 \nL 131.786913 109.621003 \nL 135.072547 112.423615 \nL 138.172109 115.266785 \nL 141.065762 118.125696 \nL 143.739242 120.979953 \nL 146.183189 123.812928 \nL 148.392429 126.61116 \nL 150.365256 129.363733 \nL 152.102743 132.061754 \nL 153.608104 134.697861 \nL 154.886118 137.265839 \nL 155.94262 139.760265 \nL 156.784069 142.176236 \nL 157.417164 144.509116 \nL 157.848552 146.754373 \nL 158.084583 148.907352 \nL 158.131122 150.963188 \nL 157.993405 152.916628 \nL 157.675946 154.761934 \nL 157.182487 156.49275 \nL 156.515969 158.102007 \nL 155.678545 159.581801 \nL 154.671632 160.923287 \nL 153.495974 162.116585 \nL 152.15176 163.150655 \nL 150.638756 164.013251 \nL 148.956468 164.690806 \nL 147.104361 165.168432 \nL 145.082118 165.429876 \nL 142.889928 165.457617 \nL 140.528846 165.232969 \nL 138.001195 164.736322 \nL 135.311035 163.947507 \nL 132.464687 162.846298 \nL 129.471308 161.413122 \nL 126.343508 159.630016 \nL 123.098014 157.481759 \nL 119.756296 154.957312 \nL 116.345164 152.051449 \nL 112.897296 148.76664 \nL 109.451568 145.114961 \nL 106.053153 141.12003 \nL 102.753292 136.818699 \nL 99.608655 132.262281 \nL 96.680237 127.517031 \nL 94.031682 122.663646 \nL 91.727143 117.795564 \nL 89.828645 113.015903 \nL 88.39313 108.43314 \nL 87.469377 104.155731 \nL 87.095077 100.286188 \nL 87.294249 96.915058 \nL 88.075428 94.115667 \nL 89.430672 91.94002 \nL 91.335624 90.416523 \nL 93.750617 89.549662 \nL 96.6227 89.321574 \nL 99.888369 89.695209 \nL 103.476778 90.618541 \nL 107.313096 92.029343 \nL 111.321743 93.859857 \nL 115.42928 96.041033 \nL 119.566788 98.506007 \nL 123.671683 101.192571 \nL 127.688907 104.044861 \nL 131.571575 107.014158 \nL 135.281114 110.059051 \nL 138.787033 113.145148 \nL 142.066383 116.244422 \nL 145.103025 119.334461 \nL 147.886783 122.397566 \nL 150.412536 125.419924 \nL 152.679334 128.390827 \nL 154.689543 131.301982 \nL 156.448061 134.146919 \nL 157.961612 136.920487 \nL 159.238124 139.618471 \nL 160.28621 142.237248 \nL 161.114727 144.773543 \nL 161.732405 147.22419 \nL 162.147567 149.58598 \nL 162.367899 151.855501 \nL 162.400283 154.02902 \nL 162.250676 156.102356 \nL 161.924028 158.070779 \nL 161.424251 159.928882 \nL 160.754194 161.670481 \nL 159.915676 163.288507 \nL 158.909528 164.774856 \nL 157.735652 166.120304 \nL 156.393129 167.314333 \nL 154.880344 168.345021 \nL 153.195134 169.198933 \nL 151.334989 169.860974 \nL 149.297267 170.314327 \nL 147.079494 170.5404 \nL 144.679688 170.518815 \nL 142.096752 170.227512 \nL 139.330955 169.642967 \nL 136.384469 168.740535 \nL 133.261999 167.494985 \nL 129.971492 165.88132 \nL 126.5249 163.875836 \nL 122.939027 161.457528 \nL 119.236368 158.609846 \nL 115.445932 155.322804 \nL 111.60396 151.595407 \nL 107.754497 147.438227 \nL 103.949614 142.876108 \nL 100.249269 137.950548 \nL 96.720578 132.721543 \nL 93.436504 127.26847 \nL 90.47377 121.68961 \nL 87.910087 116.099929 \nL 85.820714 110.627009 \nL 84.274546 105.405129 \nL 83.330067 100.567877 \nL 83.031454 96.239954 \nL 83.405309 92.529106 \nL 84.458367 89.519165 \nL 86.176469 87.265045 \nL 88.525011 85.790419 \nL 91.450713 85.088182 \nL 94.884687 85.12358 \nL 98.746282 85.839308 \nL 102.947475 87.161793 \nL 107.397219 89.007793 \nL 112.005513 91.290605 \nL 116.686852 93.92522 \nL 121.362922 96.832214 \nL 125.964434 99.940351 \nL 130.432208 103.187927 \nL 134.717537 106.523136 \nL 138.781988 109.903662 \nL 142.596772 113.295816 \nL 146.141831 116.673435 \nL 149.404755 120.016624 \nL 152.379626 123.31059 \nL 155.065852 126.544571 \nL 157.467086 129.710861 \nL 159.590199 132.804036 \nL 161.444387 135.820304 \nL 163.040393 138.756996 \nL 164.389835 141.612174 \nL 165.50466 144.384327 \nL 166.39669 147.072116 \nL 167.077265 149.674211 \nL 167.556966 152.189168 \nL 167.845408 154.615276 \nL 167.951085 156.950483 \nL 167.881273 159.192301 \nL 167.641962 161.337727 \nL 167.237828 163.383132 \nL 166.672227 165.324183 \nL 165.947212 167.155723 \nL 165.063574 168.87167 \nL 164.020888 170.464862 \nL 162.817587 171.926919 \nL 161.451048 173.248093 \nL 159.9177 174.417098 \nL 158.213155 175.420918 \nL 156.33237 176.244619 \nL 154.26984 176.871175 \nL 152.019842 177.281311 \nL 149.576739 177.453346 \nL 146.93534 177.363129 \nL 144.091342 176.984041 \nL 141.041875 176.287143 \nL 137.786137 175.241473 \nL 134.326165 173.814606 \nL 130.667709 171.973509 \nL 126.821225 169.685785 \nL 122.802989 166.921384 \nL 118.636236 163.654836 \nL 114.352376 159.868003 \nL 109.992057 155.5534 \nL 105.606081 150.717867 \nL 101.255952 145.386447 \nL 97.013883 139.606091 \nL 92.962063 133.448615 \nL 89.191035 127.012346 \nL 85.797008 120.421828 \nL 82.878097 113.824878 \nL 80.529571 107.386815 \nL 78.838418 101.281799 \nL 77.877608 95.681953 \nL 77.700718 90.745354 \nL 78.337447 86.604381 \nL 79.790709 83.356093 \nL 82.035677 81.056028 \nL 85.02094 79.716214 \nL 88.671651 79.30756 \nL 92.894328 79.765977 \nL 97.582613 81.000982 \nL 102.62346 82.905485 \nL 107.90303 85.365177 \nL 113.311871 88.266794 \nL 118.749012 91.504328 \nL 124.124871 94.983212 \nL 129.362976 98.622464 \nL 134.40065 102.355325 \nL 139.188826 106.128572 \nL 143.691237 109.901211 \nL 147.883166 113.642697 \nL 151.749976 117.331086 \nL 155.285515 120.951214 \nL 158.490561 124.493153 \nL 161.371347 127.950822 \nL 163.938213 131.320917 \nL 166.20443 134.602029 \nL 168.185196 137.79398 \nL 169.896777 140.897358 \nL 171.355827 143.913151 \nL 172.57883 146.842499 \nL 173.581664 149.686533 \nL 174.379283 152.44625 \nL 174.985472 155.12243 \nL 175.412677 157.715585 \nL 175.671902 160.225914 \nL 175.772638 162.653277 \nL 175.722841 164.99712 \nL 175.52892 167.256466 \nL 175.195762 169.429852 \nL 174.726754 171.515254 \nL 174.123822 173.51004 \nL 173.387474 175.410838 \nL 172.516844 177.213478 \nL 171.509746 178.912837 \nL 170.362714 180.502685 \nL 169.071067 181.975548 \nL 167.628965 183.322493 \nL 166.029477 184.53291 \nL 164.264673 185.594275 \nL 162.325724 186.49187 \nL 160.203045 187.20851 \nL 157.886477 187.724224 \nL 155.365502 188.015956 \nL 152.629568 188.057259 \nL 149.668464 187.818065 \nL 146.472826 187.264515 \nL 143.03477 186.358935 \nL 139.348681 185.060025 \nL 135.412185 183.323348 \nL 131.227311 181.10226 \nL 126.801878 178.349393 \nL 122.151065 175.01883 \nL 117.29915 171.069149 \nL 112.281384 166.467414 \nL 107.145754 161.194108 \nL 101.954629 155.248967 \nL 96.785901 148.657328 \nL 91.73335 141.476403 \nL 86.905907 133.800617 \nL 82.425444 125.764848 \nL 78.422814 117.544305 \nL 75.032079 109.349841 \nL 72.38303 101.418131 \nL 70.592583 93.99674 \nL 69.755785 87.325525 \nL 69.937539 81.616461 \nL 71.166244 77.035217 \nL 73.430243 73.687269 \nL 76.67782 71.611149 \nL 80.820645 70.779515 \nL 85.740336 71.107623 \nL 91.297093 72.467028 \nL 97.339272 74.7019 \nL 103.712735 77.645167 \nL 110.269047 81.132392 \nL 116.871956 85.012178 \nL 123.401838 89.152656 \nL 129.758196 93.444496 \nL 135.860484 97.801091 \nL 141.647568 102.15685 \nL 147.07626 106.464432 \nL 152.119259 110.69146 \nL 156.762832 114.817317 \nL 161.004403 118.830252 \nL 164.850277 122.724867 \nL 168.31353 126.500147 \nL 171.412178 130.157925 \nL 174.167598 133.701736 \nL 176.603221 137.136034 \nL 178.74348 140.465628 \nL 180.612967 143.695334 \nL 182.2358 146.829759 \nL 183.635142 149.873189 \nL 184.832871 152.829557 \nL 185.849351 155.702424 \nL 186.703297 158.495004 \nL 187.989877 163.850564 \nL 188.808158 168.916161 \nL 189.247632 173.708173 \nL 189.37421 178.240261 \nL 189.233101 182.52374 \nL 188.851531 186.567779 \nL 188.241029 190.379185 \nL 187.399104 193.961961 \nL 186.310273 197.316508 \nL 184.946434 200.438374 \nL 183.266615 203.316377 \nL 182.291696 204.657948 \nL 181.216141 205.929877 \nL 180.030758 207.12745 \nL 178.725309 208.244767 \nL 177.288459 209.274524 \nL 175.707714 210.207713 \nL 173.969377 211.033309 \nL 172.058503 211.737879 \nL 169.958882 212.305128 \nL 167.653052 212.715378 \nL 165.122345 212.944947 \nL 162.347014 212.965502 \nL 159.306427 212.743281 \nL 155.979389 212.23833 \nL 152.344635 211.403699 \nL 148.381482 210.184698 \nL 144.070801 208.518334 \nL 139.396282 206.333068 \nL 134.346109 203.549105 \nL 128.915121 200.079546 \nL 123.107496 195.832766 \nL 116.940004 190.716504 \nL 110.445789 184.644127 \nL 103.678567 177.543581 \nL 96.716932 169.369163 \nL 89.668292 160.116032 \nL 82.671764 149.836422 \nL 75.899052 138.655683 \nL 69.55221 126.784981 \nL 63.857332 114.52666 \nL 59.053413 102.267901 \nL 55.376469 90.459484 \nL 53.039961 79.579255 \nL 52.213905 70.083795 \nL 53.005752 62.356298 \nL 55.446682 56.661143 \nL 59.485958 53.115299 \nL 64.99471 51.682818 \nL 71.778559 52.192499 \nL 79.596517 54.373162 \nL 88.182871 57.897079 \nL 97.268484 62.422384 \nL 106.59882 67.627219 \nL 115.94715 73.232348 \nL 125.122475 79.012228 \nL 133.972789 84.79665 \nL 142.384562 90.466021 \nL 150.279713 95.943254 \nL 157.611076 101.184477 \nL 164.357254 106.170193 \nL 170.517467 110.897706 \nL 176.106767 115.374986 \nL 181.151831 119.616112 \nL 185.687418 123.638015 \nL 189.753464 127.45828 \nL 193.392797 131.09377 \nL 196.649365 134.559847 \nL 199.566915 137.869994 \nL 204.553583 144.066356 \nL 208.669803 149.751611 \nL 219.907717 166.031845 \nL 221.447382 167.894946 \nL 223.031664 169.632155 \nL 224.67763 171.237004 \nL 226.401418 172.701569 \nL 228.218355 174.016368 \nL 230.143059 175.170182 \nL 232.189484 176.14988 \nL 234.370919 176.940272 \nL 236.699954 177.523887 \nL 239.188337 177.880848 \nL 241.846811 177.988745 \nL 244.684821 177.822563 \nL 247.710129 177.354731 \nL 250.928349 176.555285 \nL 254.342308 175.392284 \nL 257.951328 173.83241 \nL 261.750321 171.841975 \nL 265.728801 169.388306 \nL 269.869773 166.441667 \nL 274.148546 162.977689 \nL 278.53155 158.980402 \nL 282.975318 154.445778 \nL 287.425597 149.385615 \nL 291.816989 143.831599 \nL 296.073109 137.838908 \nL 300.107636 131.489018 \nL 303.826271 124.890881 \nL 307.129878 118.179849 \nL 309.918686 111.513755 \nL 312.097467 105.065981 \nL 313.581282 99.015689 \nL 314.301394 93.535986 \nL 314.210587 88.781415 \nL 313.287311 84.876454 \nL 311.538087 81.90651 \nL 308.997764 79.91293 \nL 305.727593 78.89256 \nL 301.811325 78.801698 \nL 297.349868 79.563503 \nL 292.45506 81.077556 \nL 287.243374 83.229983 \nL 281.830021 85.902942 \nL 276.324009 88.982351 \nL 270.824369 92.363608 \nL 265.417626 95.955035 \nL 260.176455 99.679468 \nL 255.159355 103.474272 \nL 250.411117 107.290347 \nL 245.963864 111.090499 \nL 241.838448 114.847538 \nL 238.046044 118.54234 \nL 234.589768 122.162087 \nL 231.466269 125.698716 \nL 228.667183 129.147588 \nL 226.180452 132.506519 \nL 223.991464 135.77492 \nL 222.084014 138.953257 \nL 220.441107 142.042564 \nL 219.045596 145.044164 \nL 217.880704 147.959461 \nL 216.930416 150.789766 \nL 216.179762 153.53623 \nL 215.61504 156.199774 \nL 215.223952 158.781016 \nL 214.995693 161.280268 \nL 214.921001 163.697483 \nL 214.992172 166.032235 \nL 215.203055 168.283657 \nL 215.549023 170.450421 \nL 216.026949 172.530646 \nL 216.635154 174.521841 \nL 217.373372 176.420824 \nL 218.242704 178.223616 \nL 219.245564 179.925284 \nL 220.385636 181.519844 \nL 221.667829 183.00007 \nL 223.098212 184.357294 \nL 224.683958 185.581197 \nL 226.433262 186.659568 \nL 228.355251 187.578007 \nL 230.459846 188.319653 \nL 232.757609 188.864852 \nL 235.259525 189.190832 \nL 237.976704 189.271396 \nL 240.920029 189.076627 \nL 244.099661 188.572693 \nL 247.52444 187.721759 \nL 251.201108 186.482104 \nL 255.133361 184.808528 \nL 259.320688 182.653165 \nL 263.757003 179.966858 \nL 268.429048 176.701221 \nL 273.314604 172.811584 \nL 278.380589 168.260875 \nL 283.581131 163.024612 \nL 288.855795 157.09679 \nL 294.128236 150.496468 \nL 299.305565 143.274501 \nL 304.278801 135.51949 \nL 308.924819 127.36184 \nL 313.110051 118.974507 \nL 316.696122 110.569179 \nL 319.547355 102.387075 \nL 321.539591 94.684194 \nL 322.569651 87.71227 \nL 322.56421 81.697614 \nL 321.486928 76.821077 \nL 319.342743 73.20244 \nL 316.178532 70.891944 \nL 312.080008 69.870186 \nL 307.165322 70.056073 \nL 301.576257 71.320681 \nL 295.468244 73.50427 \nL 289.0005 76.433533 \nL 282.32723 79.936587 \nL 275.590629 83.854374 \nL 268.916018 88.047922 \nL 262.409011 92.401819 \nL 256.154519 96.824575 \nL 250.217193 101.246971 \nL 244.64292 105.619128 \nL 239.460903 109.907091 \nL 234.686107 114.089381 \nL 230.321754 118.153894 \nL 226.361727 122.09528 \nL 222.792758 125.91279 \nL 219.59637 129.608655 \nL 216.750519 133.186886 \nL 214.230968 136.652403 \nL 212.012393 140.01047 \nL 210.069256 143.26633 \nL 208.376473 146.424972 \nL 206.909911 149.491042 \nL 205.646737 152.468757 \nL 204.565649 155.361956 \nL 203.647015 158.174078 \nL 202.227269 163.567213 \nL 201.265017 168.669643 \nL 200.663966 173.499238 \nL 200.351284 178.071238 \nL 200.274427 182.39888 \nL 200.39807 186.493751 \nL 200.701466 190.365903 \nL 201.176354 194.023781 \nL 201.825495 197.473974 \nL 202.661811 200.720756 \nL 203.708125 203.765336 \nL 204.997449 206.604753 \nL 206.573826 209.230204 \nL 207.486756 210.457761 \nL 208.493664 211.624581 \nL 209.603827 212.726631 \nL 210.827547 213.75882 \nL 212.176222 214.714767 \nL 213.662421 215.586564 \nL 215.299962 216.364439 \nL 217.103976 217.036398 \nL 219.090964 217.587778 \nL 221.278833 218.000716 \nL 223.686887 218.253552 \nL 226.335786 218.320117 \nL 229.247418 218.16895 \nL 232.444677 217.762406 \nL 235.951099 217.055732 \nL 239.790322 215.99612 \nL 243.985292 214.521822 \nL 248.557171 212.561484 \nL 253.523833 210.033869 \nL 258.897882 206.848245 \nL 264.684098 202.905866 \nL 270.876242 198.102981 \nL 277.453173 192.335993 \nL 284.374352 185.509388 \nL 291.574908 177.546944 \nL 298.960643 168.406461 \nL 306.403634 158.09757 \nL 313.739339 146.70118 \nL 320.766471 134.387803 \nL 327.250899 121.430408 \nL 332.934821 108.206563 \nL 337.55175 95.184698 \nL 340.84687 82.891558 \nL 342.600836 71.862132 \nL 342.653681 62.578799 \nL 340.924705 55.411488 \nL 337.424248 50.572269 \nL 332.254779 48.095172 \nL 325.600795 47.845177 \nL 317.709686 49.552469 \nL 308.867266 52.861732 \nL 299.372346 57.384433 \nL 289.514065 62.743728 \nL 279.554589 68.606148 \nL 269.717923 74.698765 \nL 260.184658 80.813898 \nL 251.09148 86.804917 \nL 234.572095 98.076795 \nL 227.234938 103.280186 \nL 220.5278 108.184304 \nL 214.437225 112.799226 \nL 208.936039 117.142445 \nL 203.987511 121.234813 \nL 199.548737 125.097867 \nL 195.573315 128.75214 \nL 192.013402 132.216184 \nL 188.821239 135.506142 \nL 183.3558 141.61568 \nL 178.830289 147.160613 \nL 169.734294 158.786659 \nL 166.375739 162.544145 \nL 164.663111 164.217986 \nL 162.902575 165.746622 \nL 161.076699 167.121778 \nL 159.169352 168.333601 \nL 157.165612 169.370578 \nL 155.051731 170.219427 \nL 152.815142 170.864994 \nL 150.444531 171.290197 \nL 147.929964 171.47596 \nL 147.929964 171.47596 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p4004c354e4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.831705pt\" version=\"1.1\" viewBox=\"0 0 292.685081 286.831705\" width=\"292.685081pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:27:05.284972</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.831705 \nL 292.685081 286.831705 \nL 292.685081 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 62.017754 219.038318 \nL 148.040742 143.589093 \nL 148.221302 36.488624 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.163772 230.190408 \nL 180.296034 152.964433 \nL 181.885377 45.021486 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 131.154404 241.618348 \nL 213.281737 162.552074 \nL 216.345402 53.756098 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.02138 253.332503 \nL 247.022944 172.359311 \nL 251.629943 62.6997 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 62.767401 218.380816 \nL 60.515212 220.356171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(43.962621 242.525102)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 96.897676 229.516748 \nL 94.692745 231.54068 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- 0 -->\n     <g transform=\"translate(85.517408 253.914384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 131.871553 240.927929 \nL 129.716923 243.002251 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 10 -->\n     <g transform=\"translate(117.368648 265.586467)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 167.7207 252.62469 \nL 165.619599 254.751309 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 20 -->\n     <g transform=\"translate(153.281947 277.552017)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_6\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 34.169806 86.022355 \nL 38.996389 197.88754 \nL 187.391231 245.623534 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 50.640265 74.002964 \nL 54.681586 184.739897 \nL 201.599787 231.04206 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 66.610729 62.348446 \nL 69.91097 171.974326 \nL 215.374015 216.906314 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 82.103625 51.042436 \nL 84.704126 159.574409 \nL 228.733528 203.196167 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.140059 40.069532 \nL 99.079533 147.524658 \nL 241.696779 189.892682 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 111.739911 29.415225 \nL 113.054638 135.810447 \nL 254.28114 176.978032 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_7\">\n     <path d=\"M 186.141055 245.221375 \nL 189.894797 246.428887 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- −20 -->\n     <g transform=\"translate(189.650868 266.567412)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 200.36302 230.652285 \nL 204.076453 231.822596 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −10 -->\n     <g transform=\"translate(203.668778 251.77013)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 214.150426 216.528361 \nL 217.824242 217.663163 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 0 -->\n     <g transform=\"translate(224.629034 237.425434)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 227.522891 202.829505 \nL 231.157775 203.930391 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 10 -->\n     <g transform=\"translate(234.627571 223.512874)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 240.498869 189.536813 \nL 244.095496 190.605282 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 20 -->\n     <g transform=\"translate(247.416207 210.013212)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 253.095736 176.632486 \nL 256.654774 177.669947 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 30 -->\n     <g transform=\"translate(259.830851 196.908335)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_13\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.244634 151.913652 \nL 114.914848 111.658579 \nL 26.153564 184.030135 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.223052 130.547494 \nL 114.677142 90.987074 \nL 25.099079 162.133077 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.218503 108.809406 \nL 114.435499 69.973142 \nL 24.025529 139.840113 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.231433 86.689593 \nL 114.189819 48.608206 \nL 22.932392 117.140405 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_14\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 256.049569 151.575652 \nL 259.637634 152.590463 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 10 -->\n     <g transform=\"translate(269.29896 156.952563)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 257.017285 130.215191 \nL 260.637507 131.212903 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 20 -->\n     <g transform=\"translate(270.432818 135.629606)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 258.00184 108.483051 \nL 261.654799 109.462913 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 30 -->\n     <g transform=\"translate(271.586353 113.936613)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 259.003677 86.369447 \nL 262.68997 87.330674 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 40 -->\n     <g transform=\"translate(272.760081 91.86387)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_19\">\n    <path clip-path=\"url(#pd76682be7c)\" d=\"M 140.372147 191.60557 \nL 140.662432 190.780053 \nL 141.256076 190.123876 \nL 142.150686 189.537476 \nL 144.124018 188.622461 \nL 157.193089 183.242463 \nL 162.433248 180.774573 \nL 168.930914 177.405252 \nL 172.714832 175.279883 \nL 176.884141 172.794452 \nL 181.452837 169.892568 \nL 186.424531 166.514042 \nL 191.787457 162.597719 \nL 197.508177 158.086262 \nL 203.524013 152.933495 \nL 209.734584 147.114938 \nL 215.993258 140.641739 \nL 222.100096 133.577577 \nL 227.79871 126.056696 \nL 232.780315 118.299401 \nL 236.698608 110.619132 \nL 239.198293 103.41354 \nL 239.957486 97.132816 \nL 238.739409 92.222757 \nL 235.442997 89.049332 \nL 230.137595 87.822226 \nL 223.067887 88.542213 \nL 214.622862 90.99373 \nL 205.2755 94.788698 \nL 195.510673 99.447425 \nL 185.761716 104.488809 \nL 167.571011 114.189868 \nL 159.501577 118.368518 \nL 152.218934 121.959051 \nL 145.723229 124.95738 \nL 139.977957 127.407615 \nL 134.925955 129.379214 \nL 130.500656 130.950449 \nL 123.257345 133.190608 \nL 117.735953 134.637112 \nL 104.54379 137.896696 \nL 100.591615 138.963177 \nL 98.510999 139.300897 \nL 97.174404 139.353938 \nL 95.871153 139.247648 \nL 94.611296 138.969425 \nL 93.416283 138.513824 \nL 92.316222 137.884122 \nL 91.34683 137.093677 \nL 90.545903 136.166779 \nL 89.94939 135.138668 \nL 89.587307 134.054419 \nL 89.479868 132.966535 \nL 89.634382 131.931221 \nL 90.04346 131.003856 \nL 90.684836 130.234136 \nL 91.52286 129.661769 \nL 92.511471 129.313356 \nL 93.59807 129.200894 \nL 94.727697 129.322043 \nL 95.846888 129.661805 \nL 96.90676 130.195189 \nL 97.865115 130.890265 \nL 98.687561 131.711114 \nL 99.347786 132.620311 \nL 99.827209 133.580789 \nL 100.1143 134.557079 \nL 100.203755 135.515951 \nL 100.095731 136.426649 \nL 99.795263 137.260853 \nL 99.311906 137.992538 \nL 98.659651 138.597834 \nL 97.857073 139.055058 \nL 96.927629 139.344966 \nL 95.900015 139.451355 \nL 94.808428 139.362035 \nL 93.692511 139.070171 \nL 92.596838 138.575909 \nL 91.569667 137.888124 \nL 90.660868 137.025978 \nL 89.918992 136.019927 \nL 89.387641 134.911745 \nL 89.101501 133.753155 \nL 89.082607 132.602962 \nL 89.337486 131.522805 \nL 89.855763 130.571968 \nL 90.610597 129.802124 \nL 91.560955 129.252833 \nL 92.655343 128.948554 \nL 93.836365 128.897602 \nL 95.04533 129.092988 \nL 96.226356 129.514751 \nL 97.329441 130.133174 \nL 98.312388 130.912213 \nL 99.141662 131.812647 \nL 99.792358 132.79459 \nL 100.247613 133.819269 \nL 100.497703 134.850114 \nL 100.53909 135.853204 \nL 100.373598 136.797358 \nL 100.007824 137.653943 \nL 99.45284 138.39661 \nL 98.724184 139.001136 \nL 97.842129 139.445403 \nL 96.832101 139.709739 \nL 95.725146 139.777594 \nL 94.558253 139.636689 \nL 93.374328 139.280566 \nL 92.221576 138.710467 \nL 91.152048 137.9373 \nL 90.219253 136.983389 \nL 89.474768 135.883504 \nL 88.964115 134.684705 \nL 88.722346 133.444592 \nL 88.769987 132.227809 \nL 89.110136 131.101028 \nL 89.72732 130.12708 \nL 90.588472 129.359164 \nL 91.645914 128.836163 \nL 92.841832 128.579851 \nL 94.113465 128.59434 \nL 95.398123 128.867593 \nL 96.637415 129.37442 \nL 97.780243 130.080266 \nL 98.784494 130.944985 \nL 99.617561 131.926143 \nL 100.256009 132.981542 \nL 100.684695 134.070863 \nL 100.895663 135.156552 \nL 100.887073 136.20412 \nL 100.662314 137.182016 \nL 100.229434 138.061293 \nL 99.600903 138.815269 \nL 98.793718 139.419265 \nL 97.829786 139.850639 \nL 96.736482 140.089131 \nL 95.547242 140.117698 \nL 94.301963 139.923831 \nL 93.047005 139.501326 \nL 91.834458 138.852473 \nL 90.720484 137.990275 \nL 89.762528 136.940401 \nL 89.015453 135.742253 \nL 88.526849 134.448606 \nL 88.332101 133.123408 \nL 88.450027 131.837556 \nL 88.879927 130.66306 \nL 89.600771 129.666378 \nL 90.572785 128.902091 \nL 91.741251 128.408084 \nL 93.04179 128.203021 \nL 94.40618 128.286382 \nL 95.767783 128.640729 \nL 97.06586 129.235422 \nL 98.248427 130.030956 \nL 99.273654 130.9831 \nL 100.110043 132.046315 \nL 100.73574 133.176218 \nL 101.13738 134.331076 \nL 101.308777 135.472499 \nL 101.249738 136.5655 \nL 100.965135 137.57821 \nL 100.464361 138.481376 \nL 99.761173 139.247924 \nL 98.873918 139.852653 \nL 97.826056 140.272248 \nL 96.646878 140.485705 \nL 95.372233 140.475288 \nL 94.045042 140.228048 \nL 92.715296 139.737879 \nL 91.439258 139.008004 \nL 90.277538 138.053531 \nL 89.29189 136.903603 \nL 88.540803 135.602537 \nL 88.074158 134.209264 \nL 87.92775 132.794579 \nL 88.118559 131.436112 \nL 88.641783 130.211566 \nL 89.470405 129.191184 \nL 90.557498 128.430875 \nL 91.840912 127.967266 \nL 93.249425 127.815555 \nL 94.709249 127.970197 \nL 96.14981 128.408023 \nL 97.508138 129.092743 \nL 98.731522 129.979826 \nL 99.77858 131.02097 \nL 100.619051 132.167611 \nL 101.232745 133.373303 \nL 101.608094 134.595031 \nL 101.740659 135.793662 \nL 101.631811 136.933799 \nL 101.287802 137.983273 \nL 100.719235 138.912534 \nL 99.941012 139.694059 \nL 98.972689 140.30202 \nL 97.839161 140.712269 \nL 96.571551 140.902861 \nL 95.208111 140.855123 \nL 93.794845 140.555406 \nL 92.385564 139.997447 \nL 91.04099 139.185203 \nL 89.826565 138.13578 \nL 88.808817 136.881863 \nL 88.050288 135.472942 \nL 87.603526 133.974507 \nL 87.50493 132.464732 \nL 87.769643 131.028551 \nL 88.388549 129.749835 \nL 89.328283 128.702898 \nL 90.534332 127.945035 \nL 91.936705 127.511479 \nL 93.457042 127.413653 \nL 95.015806 127.640682 \nL 96.538451 128.163381 \nL 97.959818 128.939605 \nL 99.226566 129.91971 \nL 100.297858 131.051323 \nL 101.144747 132.282916 \nL 101.748744 133.566077 \nL 102.100076 134.856598 \nL 102.195989 136.114686 \nL 102.039333 137.304581 \nL 101.637598 138.393866 \nL 101.002443 139.352661 \nL 100.149738 140.152943 \nL 99.100063 140.768138 \nL 97.879576 141.173113 \nL 96.521096 141.344728 \nL 95.065192 141.263089 \nL 93.560974 140.9135 \nL 92.066214 140.289181 \nL 90.646373 139.394497 \nL 89.372168 138.24832 \nL 88.315427 136.886818 \nL 87.543351 135.364795 \nL 87.111688 133.754696 \nL 87.057862 132.142651 \nL 87.395343 130.621578 \nL 88.110649 129.282146 \nL 89.163794 128.203227 \nL 90.492271 127.443747 \nL 92.017815 127.037545 \nL 93.654555 126.992113 \nL 95.31695 127.290993 \nL 96.926318 127.898738 \nL 98.415259 128.767144 \nL 99.729801 129.841339 \nL 100.829686 131.064837 \nL 101.687298 132.383161 \nL 102.285844 133.745976 \nL 102.617307 135.107942 \nL 102.680544 136.428674 \nL 102.479769 137.672097 \nL 102.023561 138.805552 \nL 101.324447 139.798827 \nL 100.399046 140.623339 \nL 99.26872 141.251656 \nL 97.96065 141.657467 \nL 96.509126 141.816195 \nL 94.956876 141.706355 \nL 93.356046 141.311769 \nL 91.768435 140.624651 \nL 90.264506 139.649279 \nL 88.920713 138.405862 \nL 87.814848 136.933787 \nL 87.019548 135.293178 \nL 86.594568 133.563754 \nL 86.579022 131.840222 \nL 86.985189 130.224293 \nL 87.342059 129.487844 \nL 87.795372 128.814309 \nL 88.338383 128.213676 \nL 88.962816 127.694461 \nL 89.659106 127.263507 \nL 91.224178 126.684614 \nL 92.941991 126.49496 \nL 94.718611 126.684592 \nL 96.465783 127.22057 \nL 98.106642 128.053785 \nL 99.578805 129.126085 \nL 100.835157 130.376405 \nL 101.842905 131.745302 \nL 102.581613 133.177744 \nL 103.040833 134.624356 \nL 103.217833 136.041516 \nL 103.115696 137.390702 \nL 102.74199 138.637445 \nL 102.108061 139.750164 \nL 101.228984 140.699093 \nL 100.124105 141.455494 \nL 98.818101 141.991312 \nL 97.342421 142.279442 \nL 95.73688 142.294741 \nL 94.051149 142.016003 \nL 92.345628 141.428909 \nL 90.691275 140.529892 \nL 89.167751 139.330576 \nL 87.859433 137.862028 \nL 86.849159 136.177822 \nL 86.210064 134.354532 \nL 85.996579 132.488605 \nL 86.059287 131.573523 \nL 86.236308 130.68911 \nL 86.526009 129.849206 \nL 86.924639 129.066971 \nL 87.426414 128.354526 \nL 88.023662 127.72258 \nL 88.70706 127.180159 \nL 89.465908 126.734373 \nL 90.288442 126.390288 \nL 91.162182 126.150882 \nL 93.011763 125.987871 \nL 94.912772 126.230516 \nL 96.770918 126.839491 \nL 98.505431 127.758947 \nL 100.052027 128.924548 \nL 101.36329 130.270139 \nL 102.407218 131.732477 \nL 103.164782 133.253948 \nL 103.627156 134.78361 \nL 103.793153 136.276998 \nL 103.667138 137.695196 \nL 103.257614 139.00353 \nL 102.576507 140.170185 \nL 101.639181 141.164961 \nL 100.465111 141.95833 \nL 99.079124 142.520985 \nL 97.513082 142.824057 \nL 95.80779 142.840157 \nL 94.014782 142.545475 \nL 92.19754 141.923036 \nL 90.431529 140.967004 \nL 88.802391 139.687793 \nL 87.401713 138.117047 \nL 86.320138 136.311392 \nL 85.638183 134.353346 \nL 85.466928 133.349335 \nL 85.416002 132.348035 \nL 85.488203 131.364784 \nL 85.684049 130.415078 \nL 86.001685 129.514116 \nL 86.436892 128.676346 \nL 86.983188 127.915014 \nL 87.63201 127.241773 \nL 88.372977 126.666356 \nL 89.194215 126.196332 \nL 90.082721 125.836964 \nL 91.024754 125.591173 \nL 92.006213 125.459589 \nL 94.0314 125.531075 \nL 96.051277 126.017798 \nL 97.971933 126.864256 \nL 99.717087 128.002503 \nL 101.229409 129.360475 \nL 102.469399 130.868172 \nL 103.412801 132.461456 \nL 104.047452 134.083731 \nL 104.370156 135.686066 \nL 104.384066 137.226261 \nL 104.096761 138.66743 \nL 103.519088 139.976345 \nL 102.664838 141.121884 \nL 101.551155 142.073721 \nL 100.19967 142.801456 \nL 98.638184 143.274331 \nL 96.902791 143.461766 \nL 95.040138 143.334917 \nL 93.109406 142.869475 \nL 91.183426 142.04985 \nL 89.348184 140.874489 \nL 87.69994 139.361875 \nL 86.33936 137.556042 \nL 85.797461 136.564825 \nL 85.362583 135.529972 \nL 85.044196 134.465038 \nL 84.850048 133.38503 \nL 84.785818 132.306079 \nL 84.85486 131.245035 \nL 85.05798 130.218985 \nL 85.393341 129.244747 \nL 85.856453 128.338328 \nL 86.440282 127.514418 \nL 87.135461 126.785929 \nL 87.930585 126.163611 \nL 88.812581 125.655776 \nL 89.767145 125.268138 \nL 90.779167 125.003781 \nL 91.833179 124.863212 \nL 92.913769 124.844546 \nL 94.005955 124.943768 \nL 96.169127 125.471004 \nL 98.221646 126.382432 \nL 100.082562 127.60273 \nL 101.692125 129.053102 \nL 103.010194 130.658088 \nL 104.013069 132.349524 \nL 104.689785 134.068129 \nL 105.038561 135.763383 \nL 105.063837 137.392302 \nL 104.774124 138.917685 \nL 104.180745 140.306204 \nL 103.297456 141.526595 \nL 102.14091 142.548118 \nL 100.731883 143.339481 \nL 99.097173 143.868354 \nL 97.272014 144.10175 \nL 95.302727 144.007496 \nL 93.249214 143.557074 \nL 91.186625 142.73004 \nL 89.205407 141.519921 \nL 87.408752 139.941109 \nL 86.61398 139.025328 \nL 85.906655 138.035563 \nL 85.300017 136.982143 \nL 84.806354 135.877483 \nL 84.436581 134.735976 \nL 84.199798 133.573745 \nL 84.102889 132.408319 \nL 84.150191 131.258171 \nL 84.343226 130.142201 \nL 84.680554 129.079131 \nL 85.157754 128.086908 \nL 85.767506 127.182081 \nL 86.499822 126.379271 \nL 87.342387 125.690711 \nL 88.280965 125.1259 \nL 89.299891 124.691415 \nL 90.382571 124.39084 \nL 91.512001 124.224855 \nL 92.671233 124.191428 \nL 93.843819 124.286113 \nL 95.014152 124.502403 \nL 97.291497 125.265922 \nL 99.404172 126.404119 \nL 101.276864 127.830971 \nL 102.857369 129.461587 \nL 104.113487 131.218155 \nL 105.028867 133.032771 \nL 105.5987 134.84796 \nL 105.825956 136.615643 \nL 105.718452 138.295275 \nL 105.286909 139.851641 \nL 104.543988 141.252686 \nL 103.504282 142.467537 \nL 102.185189 143.464912 \nL 100.608599 144.212039 \nL 98.80329 144.674322 \nL 96.80783 144.815971 \nL 94.673733 144.601938 \nL 92.468285 144.001513 \nL 90.276302 142.993759 \nL 88.199777 141.574656 \nL 87.240576 140.716229 \nL 86.354279 139.765261 \nL 85.556182 138.729559 \nL 84.861228 137.619303 \nL 84.283542 136.447076 \nL 83.835926 135.227797 \nL 83.529364 133.978512 \nL 83.372537 132.718048 \nL 83.371382 131.466547 \nL 83.528769 130.244898 \nL 83.844264 129.07406 \nL 84.314056 127.974345 \nL 84.931011 126.964725 \nL 85.684892 126.062147 \nL 86.562716 125.280983 \nL 87.549208 124.632587 \nL 88.627355 124.125026 \nL 89.778983 123.762962 \nL 90.985355 123.547723 \nL 92.227726 123.477518 \nL 93.48786 123.54775 \nL 94.748443 123.751439 \nL 95.993422 124.079687 \nL 97.208246 124.522151 \nL 99.497555 125.703914 \nL 101.533708 127.201752 \nL 103.260148 128.9223 \nL 104.642776 130.780664 \nL 105.665061 132.703617 \nL 106.323045 134.630073 \nL 106.620962 136.509807 \nL 106.567837 138.30124 \nL 106.175198 139.968885 \nL 105.455876 141.480842 \nL 104.423851 142.806502 \nL 103.095062 143.91463 \nL 101.489118 144.771976 \nL 99.631831 145.342541 \nL 97.558428 145.587827 \nL 95.317197 145.468401 \nL 92.973068 144.947203 \nL 90.610382 143.994934 \nL 89.454008 143.35195 \nL 88.333715 142.597669 \nL 87.265338 141.734284 \nL 86.265422 140.766133 \nL 85.350886 139.699974 \nL 84.538597 138.545201 \nL 83.844863 137.313936 \nL 83.284886 136.021056 \nL 82.872177 134.684048 \nL 82.61796 133.32271 \nL 82.530642 131.958706 \nL 82.615337 130.614953 \nL 82.873541 129.314895 \nL 83.302927 128.081697 \nL 83.897343 126.937391 \nL 84.646971 125.902068 \nL 85.538673 124.993152 \nL 86.556477 124.224815 \nL 87.682175 123.607571 \nL 88.895998 123.148066 \nL 90.177305 122.849089 \nL 91.505252 122.709748 \nL 92.859416 122.725825 \nL 94.220302 122.890239 \nL 95.56977 123.193561 \nL 96.891344 123.624601 \nL 98.170404 124.170945 \nL 100.552259 125.556823 \nL 102.63705 127.245399 \nL 104.374634 129.136989 \nL 105.737887 131.144078 \nL 106.716777 133.19343 \nL 107.312777 135.225494 \nL 107.534225 137.192274 \nL 107.392907 139.054514 \nL 106.901888 140.778727 \nL 106.074533 142.3344 \nL 104.924614 143.69151 \nL 103.467449 144.818463 \nL 101.721997 145.680592 \nL 99.713837 146.239369 \nL 97.478944 146.452675 \nL 95.067955 146.276553 \nL 92.550429 145.668956 \nL 91.27949 145.19223 \nL 90.018194 144.596029 \nL 88.781684 143.878858 \nL 87.586435 143.040975 \nL 86.450038 142.084756 \nL 85.390903 141.015057 \nL 84.427857 139.83953 \nL 83.579631 138.568869 \nL 82.864276 137.216935 \nL 82.298488 135.800753 \nL 81.896935 134.340325 \nL 81.671562 132.858259 \nL 81.630972 131.379194 \nL 81.779902 129.929058 \nL 82.118873 128.534172 \nL 82.644018 127.220281 \nL 83.347125 126.011557 \nL 84.215896 124.929653 \nL 85.234427 123.992902 \nL 86.383817 123.215687 \nL 87.642928 122.60805 \nL 88.989185 122.175561 \nL 90.399383 121.919407 \nL 91.850453 121.836711 \nL 93.320128 121.92102 \nL 94.78749 122.162892 \nL 96.233404 122.550568 \nL 97.640777 123.070632 \nL 98.994736 123.708638 \nL 100.282662 124.449689 \nL 102.62083 126.181787 \nL 104.595918 128.154389 \nL 106.175785 130.268649 \nL 107.348563 132.442434 \nL 108.11599 134.609929 \nL 108.487791 136.719253 \nL 108.477449 138.729214 \nL 108.099404 140.605885 \nL 107.367588 142.319345 \nL 106.295156 143.840792 \nL 104.895326 145.140036 \nL 103.183268 146.183528 \nL 101.178993 146.932959 \nL 98.911216 147.344803 \nL 96.422037 147.371109 \nL 93.772074 146.96228 \nL 92.412016 146.579985 \nL 91.045295 146.072387 \nL 89.686607 145.435708 \nL 88.352352 144.667643 \nL 87.060524 143.767772 \nL 85.8305 142.738021 \nL 84.682705 141.583085 \nL 83.638157 140.31084 \nL 82.71789 138.932642 \nL 81.942263 137.463519 \nL 81.330195 135.922196 \nL 80.898345 134.330898 \nL 80.660293 132.714936 \nL 80.625794 131.102032 \nL 80.800171 129.521447 \nL 81.183872 128.002922 \nL 81.772285 126.575507 \nL 82.555806 125.266361 \nL 83.520164 124.099658 \nL 84.647007 123.09562 \nL 85.914658 122.269807 \nL 87.299025 121.632697 \nL 88.774554 121.189566 \nL 90.315186 120.940656 \nL 91.895236 120.881625 \nL 93.490155 121.004141 \nL 95.077125 121.29665 \nL 96.635514 121.745154 \nL 98.147148 122.334012 \nL 99.596446 123.046676 \nL 100.970419 123.866311 \nL 102.258571 124.776339 \nL 104.546834 126.804891 \nL 106.419504 129.017553 \nL 107.860098 131.318966 \nL 108.869302 133.633451 \nL 109.457994 135.902574 \nL 109.641836 138.081463 \nL 109.437552 140.134803 \nL 108.860712 142.03304 \nL 107.924879 143.748979 \nL 106.641956 145.254806 \nL 105.023654 146.519583 \nL 103.084034 147.507232 \nL 100.843169 148.175204 \nL 98.331872 148.474175 \nL 96.988758 148.468284 \nL 95.597357 148.349318 \nL 94.167145 148.110155 \nL 92.70937 147.743974 \nL 91.237196 147.244538 \nL 89.765798 146.606576 \nL 88.312385 145.826221 \nL 86.896129 144.901498 \nL 85.537976 143.83285 \nL 84.260349 142.623679 \nL 83.086664 141.280859 \nL 82.040726 139.815183 \nL 81.145963 138.241671 \nL 80.424537 136.579701 \nL 79.896383 134.852894 \nL 79.578227 133.088734 \nL 79.48265 131.317869 \nL 79.61728 129.573144 \nL 79.984208 127.888388 \nL 80.57967 126.297025 \nL 81.39404 124.830638 \nL 82.412172 123.517579 \nL 83.614018 122.381775 \nL 84.97553 121.441811 \nL 86.469716 120.710342 \nL 88.067795 120.193931 \nL 89.740337 119.893219 \nL 91.458321 119.803412 \nL 93.194056 119.91505 \nL 94.921896 120.21489 \nL 96.618764 120.686874 \nL 98.264477 121.313098 \nL 99.84188 122.074669 \nL 101.336836 122.952486 \nL 102.738091 123.927848 \nL 104.037052 124.982928 \nL 105.227507 126.101103 \nL 107.268106 128.467404 \nL 108.846007 130.923196 \nL 109.965933 133.388172 \nL 110.643144 135.802008 \nL 110.897292 138.119848 \nL 110.748207 140.307658 \nL 110.21338 142.337904 \nL 109.306917 144.185752 \nL 108.039757 145.825784 \nL 106.42102 147.229155 \nL 104.460508 148.361191 \nL 102.172368 149.179551 \nL 100.912232 149.455497 \nL 99.580014 149.633202 \nL 98.181103 149.704996 \nL 96.722293 149.662828 \nL 95.212019 149.498418 \nL 93.660595 149.203478 \nL 92.080416 148.769998 \nL 90.486147 148.190606 \nL 88.894823 147.459028 \nL 87.325891 146.570606 \nL 85.801128 145.522905 \nL 84.34441 144.316361 \nL 82.981329 142.954946 \nL 81.73861 141.446796 \nL 80.64335 139.804734 \nL 79.72206 138.046653 \nL 78.999579 136.195612 \nL 78.49789 134.279667 \nL 78.234929 132.331316 \nL 78.223477 130.38656 \nL 78.470256 128.483641 \nL 78.975308 126.661468 \nL 79.731741 124.957883 \nL 80.725878 123.407907 \nL 81.937829 122.042121 \nL 83.342394 120.885308 \nL 84.910272 119.955531 \nL 86.609416 119.263669 \nL 88.406436 118.813414 \nL 90.267949 118.601722 \nL 92.161755 118.619626 \nL 94.057812 118.853269 \nL 95.928946 119.285086 \nL 97.751312 119.894984 \nL 99.504617 120.661458 \nL 101.172143 121.562567 \nL 102.740616 122.576733 \nL 104.19994 123.683356 \nL 105.542885 124.86325 \nL 106.7647 126.098913 \nL 107.862742 127.37465 \nL 109.685185 129.992748 \nL 111.017354 132.62746 \nL 111.878771 135.212847 \nL 112.293913 137.701705 \nL 112.287084 140.060042 \nL 111.879267 142.262049 \nL 111.086603 144.285781 \nL 109.920232 146.109464 \nL 108.387292 147.708295 \nL 106.493044 149.051607 \nL 104.244193 150.100461 \nL 102.990397 150.499546 \nL 101.653543 150.805729 \nL 100.237192 151.011121 \nL 98.746145 151.107178 \nL 97.186702 151.084779 \nL 95.566957 150.934357 \nL 93.897084 150.646131 \nL 92.189607 150.21039 \nL 90.459652 149.617891 \nL 88.725136 148.860347 \nL 87.006857 147.931047 \nL 85.328482 146.825537 \nL 83.716355 145.542421 \nL 82.199116 144.084174 \nL 80.807091 142.457967 \nL 79.571434 140.676387 \nL 78.523044 138.757988 \nL 77.69126 136.727563 \nL 77.102427 134.61604 \nL 76.778416 132.459931 \nL 76.735226 130.300305 \nL 76.981803 128.181271 \nL 77.519206 126.148092 \nL 78.340238 124.245044 \nL 79.429573 122.513217 \nL 80.764432 120.988463 \nL 82.315702 119.699726 \nL 84.049416 118.667828 \nL 85.928443 117.904919 \nL 87.914223 117.414528 \nL 89.968409 117.192152 \nL 92.054292 117.226308 \nL 94.137945 117.499884 \nL 96.189028 117.991613 \nL 98.181283 118.677544 \nL 100.092734 119.532397 \nL 101.905647 120.530704 \nL 103.606303 121.64776 \nL 105.184641 122.860292 \nL 106.633839 124.146919 \nL 107.949834 125.488408 \nL 109.130856 126.867778 \nL 110.176985 128.270271 \nL 111.871628 131.096005 \nL 113.056523 133.886582 \nL 113.761968 136.587362 \nL 114.018973 139.161306 \nL 113.854877 141.582881 \nL 113.290951 143.832902 \nL 112.341516 145.894247 \nL 111.014311 147.748232 \nL 109.311928 149.371402 \nL 108.320047 150.087085 \nL 107.234348 150.732637 \nL 106.05504 151.302522 \nL 104.782724 151.790411 \nL 103.418596 152.189111 \nL 101.964684 152.490549 \nL 100.424119 152.685748 \nL 98.80143 152.764861 \nL 97.102871 152.717264 \nL 95.336777 152.531685 \nL 93.513909 152.196462 \nL 91.647815 151.699854 \nL 89.755146 151.030524 \nL 87.855914 150.17812 \nL 85.973641 149.134008 \nL 84.135373 147.892151 \nL 82.371464 146.450089 \nL 80.715138 144.809978 \nL 79.201744 142.979658 \nL 77.867684 140.973579 \nL 76.749052 138.813517 \nL 75.879986 136.528919 \nL 75.290855 134.156768 \nL 75.006385 131.740814 \nL 75.043934 129.330206 \nL 75.412055 126.977476 \nL 76.109566 124.736059 \nL 77.125231 122.657522 \nL 78.438132 120.788778 \nL 80.018712 119.169585 \nL 81.830372 117.830603 \nL 83.83148 116.792173 \nL 85.97754 116.063904 \nL 88.223361 115.645074 \nL 90.525003 115.525723 \nL 92.841378 115.688207 \nL 95.135443 116.109021 \nL 97.374967 116.760727 \nL 99.532888 117.613745 \nL 101.587353 118.637901 \nL 103.521469 119.803723 \nL 105.322905 121.083373 \nL 106.98335 122.451286 \nL 108.497938 123.884546 \nL 109.864657 125.363033 \nL 111.083786 126.869406 \nL 112.157366 128.388955 \nL 113.088744 129.909394 \nL 114.542398 132.914372 \nL 115.483598 135.824442 \nL 115.952058 138.601521 \nL 115.982959 141.221925 \nL 115.603899 143.670325 \nL 114.833565 145.934941 \nL 113.681682 148.003608 \nL 112.149975 149.860386 \nL 111.240489 150.702542 \nL 110.234081 151.482459 \nL 109.129742 152.195706 \nL 107.926525 152.837033 \nL 106.623718 153.400288 \nL 105.221047 153.878321 \nL 103.718921 154.262908 \nL 102.118706 154.544707 \nL 100.423051 154.713213 \nL 98.636248 154.756792 \nL 96.764634 154.662747 \nL 94.817034 154.41749 \nL 92.805209 154.006808 \nL 90.744314 153.416258 \nL 88.653327 152.63174 \nL 86.555376 151.640225 \nL 84.47798 150.430695 \nL 82.453053 148.995278 \nL 80.516671 147.330506 \nL 78.70849 145.438725 \nL 77.070771 143.329453 \nL 75.646964 141.020616 \nL 74.479897 138.539456 \nL 73.609596 135.92291 \nL 73.070896 133.217308 \nL 72.891042 130.477199 \nL 73.087513 127.763333 \nL 73.666356 125.139804 \nL 74.621246 122.670621 \nL 75.933435 120.416013 \nL 77.572635 118.428899 \nL 79.498753 116.751868 \nL 81.664303 115.415099 \nL 84.017161 114.435346 \nL 86.503417 113.816027 \nL 89.070031 113.548375 \nL 91.667048 113.613296 \nL 94.249287 113.983732 \nL 96.77744 114.627172 \nL 99.218626 115.508063 \nL 101.546459 116.589931 \nL 103.740776 117.837085 \nL 105.787094 119.215913 \nL 107.675934 120.695717 \nL 109.40206 122.249191 \nL 110.963729 123.852602 \nL 112.36197 125.485748 \nL 113.599925 127.13174 \nL 114.682265 128.77672 \nL 115.614704 130.409501 \nL 117.055454 133.604963 \nL 117.974461 136.668768 \nL 118.420844 139.573104 \nL 118.435746 142.303637 \nL 118.049855 144.853374 \nL 117.282514 147.217964 \nL 116.141935 149.392027 \nL 114.626195 151.365995 \nL 112.724978 153.123091 \nL 111.624912 153.912336 \nL 110.422165 154.636205 \nL 109.114434 155.289123 \nL 107.699619 155.864429 \nL 106.176037 156.35424 \nL 104.542706 156.749356 \nL 102.799647 157.03915 \nL 100.94827 157.211505 \nL 98.991804 157.252774 \nL 96.935793 157.147838 \nL 94.788643 156.880233 \nL 92.562215 156.432401 \nL 90.272441 155.786132 \nL 87.939911 154.923194 \nL 85.590396 153.826207 \nL 83.255241 152.479791 \nL 80.971503 150.871996 \nL 78.781775 148.995985 \nL 76.733554 146.85189 \nL 74.878079 144.448739 \nL 73.268564 141.806211 \nL 71.957831 138.956007 \nL 70.995415 135.942516 \nL 70.42435 132.822505 \nL 70.277911 129.66361 \nL 70.576678 126.541548 \nL 71.326331 123.536181 \nL 72.51651 120.726762 \nL 74.120952 118.186826 \nL 76.09896 115.979456 \nL 78.398042 114.153384 \nL 80.957348 112.740523 \nL 83.71154 111.755094 \nL 86.594576 111.194343 \nL 89.54306 111.040582 \nL 92.498892 111.264138 \nL 95.411103 111.826785 \nL 98.236845 112.685148 \nL 100.941699 113.793783 \nL 103.499405 115.107744 \nL 105.891201 116.584503 \nL 108.104918 118.185235 \nL 110.133985 119.875554 \nL 111.976399 121.625799 \nL 113.63377 123.410983 \nL 115.110438 125.2105 \nL 116.412714 127.007724 \nL 117.548235 128.78951 \nL 118.52542 130.545704 \nL 120.03985 133.952805 \nL 121.024595 137.19032 \nL 121.541109 140.241191 \nL 121.639468 143.101262 \nL 121.356459 145.773051 \nL 120.715127 148.261355 \nL 119.725196 150.569981 \nL 118.383995 152.699075 \nL 116.677764 154.642621 \nL 114.583409 156.38569 \nL 112.070947 157.901177 \nL 110.647542 158.560806 \nL 109.107183 159.145786 \nL 107.446139 159.647376 \nL 105.661337 160.055195 \nL 103.750727 160.357048 \nL 101.713713 160.53877 \nL 99.551682 160.584127 \nL 97.268614 160.474773 \nL 94.871795 160.190313 \nL 92.372607 159.70851 \nL 89.78738 159.005709 \nL 87.138262 158.05752 \nL 84.454049 156.839852 \nL 81.770867 155.330339 \nL 79.132592 153.510197 \nL 76.590844 151.366514 \nL 74.204369 148.894875 \nL 72.037668 146.102203 \nL 70.15873 143.009472 \nL 68.635815 139.653949 \nL 67.533415 136.090445 \nL 66.907637 132.391145 \nL 66.801457 128.643589 \nL 67.240478 124.946676 \nL 68.229779 121.404833 \nL 69.752446 118.120921 \nL 71.770116 115.188781 \nL 74.225535 112.686362 \nL 77.046779 110.670499 \nL 80.152568 109.173974 \nL 83.457902 108.205132 \nL 86.879312 107.749854 \nL 90.339219 107.775347 \nL 93.769039 108.234959 \nL 97.111028 109.0733 \nL 100.318945 110.230999 \nL 103.357809 111.648743 \nL 106.202984 113.270264 \nL 108.838905 115.044384 \nL 111.25762 116.926172 \nL 113.457328 118.877329 \nL 115.441013 120.866097 \nL 117.215224 122.866807 \nL 118.789031 124.859217 \nL 120.17316 126.827777 \nL 121.379285 128.76089 \nL 123.30573 132.490048 \nL 124.662466 136.008354 \nL 125.53436 139.304172 \nL 125.992278 142.381346 \nL 126.09122 145.251784 \nL 125.870157 147.930725 \nL 125.352739 150.433696 \nL 124.54834 152.774489 \nL 123.45314 154.963624 \nL 122.051107 157.006943 \nL 120.314877 158.903938 \nL 118.206689 160.64557 \nL 115.679678 162.211161 \nL 112.680082 163.56407 \nL 110.985293 164.14354 \nL 109.151188 164.645799 \nL 107.17136 165.058875 \nL 105.040338 165.368394 \nL 102.754117 165.557294 \nL 100.310792 165.60555 \nL 97.711364 165.48996 \nL 94.960707 165.184032 \nL 92.068682 164.65804 \nL 89.051428 163.879362 \nL 85.932743 162.81317 \nL 82.745506 161.42363 \nL 79.53299 159.675731 \nL 76.349872 157.537867 \nL 73.262707 154.98521 \nL 70.34947 152.00384 \nL 67.697944 148.595406 \nL 65.402557 144.781864 \nL 63.559558 140.609637 \nL 62.260634 136.15227 \nL 61.585383 131.510627 \nL 61.593488 126.809811 \nL 62.317732 122.192459 \nL 63.759074 117.808761 \nL 65.884852 113.804242 \nL 68.630654 110.307254 \nL 71.905657 107.4181 \nL 75.600605 105.201626 \nL 79.597055 103.684322 \nL 83.776467 102.856037 \nL 88.027917 102.675416 \nL 92.253678 103.077718 \nL 96.372479 103.983513 \nL 100.320637 105.306853 \nL 104.051519 106.962107 \nL 107.533896 108.869002 \nL 110.749722 110.955822 \nL 113.691685 113.161005 \nL 116.360868 115.433537 \nL 118.764628 117.732474 \nL 120.914797 120.025938 \nL 122.826197 122.289889 \nL 124.515456 124.506825 \nL 126.000094 126.664548 \nL 128.426038 130.773649 \nL 130.239823 134.58783 \nL 131.562978 138.108282 \nL 132.498435 141.352072 \nL 133.129744 144.343385 \nL 133.522222 147.108514 \nL 133.766783 150.887906 \nL 133.691041 154.294201 \nL 133.350423 157.393625 \nL 132.758066 160.240876 \nL 131.892037 162.88103 \nL 131.137116 164.544711 \nL 130.212649 166.142145 \nL 129.086877 167.680797 \nL 127.719713 169.165889 \nL 126.06151 170.599348 \nL 124.05165 171.977986 \nL 121.617148 173.290539 \nL 118.671663 174.512986 \nL 115.115612 175.601371 \nL 110.838773 176.481034 \nL 108.394373 176.80719 \nL 105.727706 177.031208 \nL 102.826724 177.12737 \nL 99.681951 177.064216 \nL 96.287911 176.803723 \nL 92.64497 176.300594 \nL 88.76167 175.501783 \nL 84.657548 174.346514 \nL 80.366425 172.767081 \nL 75.940025 170.690839 \nL 71.451588 168.043881 \nL 66.99896 164.75685 \nL 62.706372 160.773276 \nL 58.723796 156.060402 \nL 55.222728 150.621858 \nL 52.387316 144.510666 \nL 50.400403 137.839878 \nL 49.425126 130.787472 \nL 49.584353 123.592027 \nL 50.941638 116.537001 \nL 53.48814 109.924134 \nL 57.139315 104.039853 \nL 61.742992 99.121514 \nL 67.09736 95.330825 \nL 72.974914 92.740299 \nL 79.146934 91.334511 \nL 85.403953 91.024058 \nL 91.569422 91.667342 \nL 97.506054 93.094443 \nL 103.116035 95.128511 \nL 108.337087 97.602044 \nL 113.13642 100.367174 \nL 117.504132 103.300648 \nL 121.447069 106.304665 \nL 124.983643 109.305108 \nL 128.139728 112.248342 \nL 130.94557 115.097514 \nL 133.433535 117.828897 \nL 137.58698 122.890255 \nL 140.853113 127.395951 \nL 143.459769 131.367197 \nL 149.944635 141.694311 \nL 151.587517 143.783168 \nL 153.316393 145.531232 \nL 155.206352 146.942918 \nL 157.324052 148.010437 \nL 158.48737 148.409261 \nL 159.729791 148.713386 \nL 161.057941 148.918237 \nL 162.477998 149.018419 \nL 163.995595 149.007742 \nL 165.615659 148.879253 \nL 167.342212 148.625309 \nL 169.178097 148.237689 \nL 171.124653 147.707743 \nL 173.181299 147.026654 \nL 175.345061 146.185746 \nL 177.610011 145.176939 \nL 179.966649 143.993299 \nL 182.401237 142.629764 \nL 184.895108 141.084003 \nL 187.424007 139.357427 \nL 189.957541 137.456316 \nL 192.458797 135.393025 \nL 194.884263 133.18714 \nL 197.18418 130.866497 \nL 199.303419 128.467827 \nL 201.18303 126.036872 \nL 202.762507 123.627727 \nL 203.982745 121.301236 \nL 204.789593 119.122342 \nL 205.137744 117.156437 \nL 204.994566 115.464976 \nL 204.343439 114.100749 \nL 203.186075 113.103456 \nL 201.543467 112.496245 \nL 199.455148 112.283731 \nL 196.976847 112.451965 \nL 194.176746 112.970329 \nL 191.130849 113.795023 \nL 187.918067 114.873644 \nL 184.615576 116.150067 \nL 178.019337 119.07961 \nL 171.804395 122.209031 \nL 166.267352 125.288555 \nL 161.551939 128.192912 \nL 157.687547 130.886791 \nL 154.631517 133.384289 \nL 152.30393 135.717497 \nL 150.612013 137.91779 \nL 149.465363 140.007419 \nL 148.784417 141.99751 \nL 148.504447 143.889176 \nL 148.576841 145.675626 \nL 148.968882 147.344098 \nL 149.662804 148.877172 \nL 150.654601 150.253274 \nL 151.952796 151.446446 \nL 153.577258 152.425445 \nL 155.557946 153.152289 \nL 157.933329 153.58035 \nL 160.748029 153.652243 \nL 164.049008 153.297839 \nL 167.879278 152.433125 \nL 170.002878 151.779524 \nL 172.267802 150.961222 \nL 174.672935 149.964964 \nL 177.213973 148.777749 \nL 179.882548 147.387476 \nL 182.665257 145.783809 \nL 185.542587 143.959293 \nL 188.487837 141.910746 \nL 191.466086 139.640892 \nL 194.433361 137.160187 \nL 197.336126 134.48876 \nL 200.111352 131.658211 \nL 202.687365 128.713063 \nL 204.985676 125.711436 \nL 206.924013 122.724611 \nL 208.420538 119.835036 \nL 209.399184 117.132576 \nL 209.795678 114.708941 \nL 209.563654 112.650676 \nL 208.680048 111.031463 \nL 207.148832 109.904806 \nL 205.002379 109.298413 \nL 202.299983 109.211325 \nL 199.123635 109.61445 \nL 195.571588 110.454507 \nL 191.750707 111.660584 \nL 187.768711 113.152138 \nL 183.727309 114.847033 \nL 175.813739 118.549611 \nL 168.552758 122.290907 \nL 162.243534 125.801875 \nL 156.986238 128.989308 \nL 152.749371 131.867506 \nL 149.429844 134.496561 \nL 146.895711 136.94279 \nL 145.012446 139.25984 \nL 143.657111 141.483369 \nL 142.724751 143.63259 \nL 142.130179 145.714382 \nL 141.807291 147.727522 \nL 141.707224 149.666083 \nL 141.796146 151.521789 \nL 142.053132 153.285346 \nL 142.468373 154.947014 \nL 143.041795 156.49661 \nL 143.782157 157.923048 \nL 144.70658 159.213583 \nL 145.840478 160.352716 \nL 147.217842 161.320791 \nL 148.881764 162.092186 \nL 150.885059 162.633009 \nL 153.290758 162.898197 \nL 156.172016 162.827913 \nL 159.610742 162.343321 \nL 163.693735 161.342051 \nL 166.003391 160.608269 \nL 168.504407 159.694464 \nL 171.204142 158.58005 \nL 174.10722 157.243028 \nL 177.214375 155.660487 \nL 180.521008 153.809426 \nL 184.015465 151.667988 \nL 187.677052 149.217209 \nL 191.47381 146.443375 \nL 195.360206 143.341046 \nL 199.274951 139.916739 \nL 203.139281 136.193081 \nL 206.85613 132.213165 \nL 210.31083 128.044407 \nL 213.373913 123.781099 \nL 215.906585 119.54452 \nL 217.769184 115.479418 \nL 218.832415 111.745993 \nL 218.990431 108.507154 \nL 218.174088 105.912053 \nL 216.36203 104.078144 \nL 213.587133 103.075238 \nL 209.936421 102.915192 \nL 205.543862 103.550036 \nL 200.577078 104.87938 \nL 195.220487 106.765421 \nL 189.658067 109.052121 \nL 184.058674 111.584249 \nL 173.292286 116.855244 \nL 159.461912 124.032483 \nL 149.046334 129.698229 \nL 143.844981 132.766939 \nL 139.783761 135.459363 \nL 136.626814 137.916884 \nL 134.156076 140.23869 \nL 132.182289 142.484412 \nL 130.546761 144.683793 \nL 128.447966 147.914402 \nL 125.792677 152.069119 \nL 124.349251 154.057259 \nL 122.739583 155.96799 \nL 120.901648 157.784854 \nL 118.773952 159.486906 \nL 116.293981 161.045706 \nL 113.398 162.421062 \nL 110.022866 163.555378 \nL 108.137139 164.007653 \nL 106.110805 164.366482 \nL 103.938989 164.616374 \nL 101.61864 164.739233 \nL 99.149193 164.714128 \nL 96.533393 164.517145 \nL 93.778257 164.121364 \nL 90.896196 163.497056 \nL 87.906247 162.612162 \nL 84.835379 161.433172 \nL 81.719747 159.926552 \nL 78.605787 158.060769 \nL 75.550895 155.809058 \nL 72.623468 153.15288 \nL 69.901967 150.085995 \nL 67.472754 146.618832 \nL 65.42645 142.782656 \nL 63.852806 138.632829 \nL 62.834276 134.250299 \nL 62.438847 129.740522 \nL 62.713054 125.229193 \nL 63.676195 120.854771 \nL 65.316876 116.758282 \nL 67.592638 113.071868 \nL 70.432918 109.907644 \nL 73.744962 107.34875 \nL 77.421705 105.443986 \nL 81.350357 104.206651 \nL 85.42045 103.617319 \nL 89.530378 103.629695 \nL 93.5919 104.17814 \nL 97.532568 105.18561 \nL 101.296306 106.57087 \nL 104.842636 108.254307 \nL 108.144996 110.162133 \nL 111.188627 112.228928 \nL 113.968337 114.398866 \nL 116.486368 116.625822 \nL 118.7505 118.87286 \nL 120.772438 121.111256 \nL 122.566483 123.319354 \nL 124.148474 125.481385 \nL 125.534968 127.586363 \nL 127.787691 131.599329 \nL 129.451542 135.332018 \nL 130.639253 138.785997 \nL 131.445505 141.977447 \nL 131.946234 144.929192 \nL 132.199677 147.666129 \nL 132.248207 150.212706 \nL 132.120377 152.591679 \nL 131.83282 154.823558 \nL 131.391808 156.926462 \nL 130.794392 158.916173 \nL 130.029097 160.80616 \nL 129.076172 162.607568 \nL 127.907435 164.328962 \nL 126.485774 165.975742 \nL 124.764361 167.549024 \nL 122.685732 169.043727 \nL 120.180987 170.445494 \nL 117.169548 171.725923 \nL 113.560303 172.835394 \nL 111.501023 173.302233 \nL 109.255531 173.692672 \nL 106.812061 173.989259 \nL 104.160021 174.170543 \nL 101.290833 174.210431 \nL 98.199052 174.07753 \nL 94.88379 173.734575 \nL 91.350511 173.138015 \nL 87.613208 172.237935 \nL 83.696961 170.978508 \nL 79.640773 169.299297 \nL 75.500497 167.137711 \nL 71.351548 164.43298 \nL 67.290807 161.131995 \nL 63.437051 157.197066 \nL 59.929018 152.615426 \nL 56.92024 147.409577 \nL 54.570036 141.646976 \nL 53.030684 135.446778 \nL 52.431745 128.980966 \nL 52.863688 122.46762 \nL 54.363859 116.155341 \nL 56.908088 110.300006 \nL 60.410326 105.137619 \nL 64.731022 100.858374 \nL 69.692637 97.587527 \nL 75.099009 95.376635 \nL 80.754653 94.206081 \nL 86.480695 93.996973 \nL 92.125516 94.628572 \nL 97.56983 95.95718 \nL 102.727036 97.833025 \nL 107.540326 100.11329 \nL 111.978046 102.670562 \nL 116.028467 105.397127 \nL 119.694837 108.206088 \nL 122.991048 111.030211 \nL 125.938145 113.819628 \nL 128.561591 116.538937 \nL 130.889241 119.164332 \nL 134.772076 124.080621 \nL 137.811192 128.519138 \nL 140.211731 132.487384 \nL 142.997211 137.631051 \nL 146.588786 144.365146 \nL 147.95622 146.50441 \nL 149.403182 148.354279 \nL 150.996265 149.919953 \nL 152.79743 151.196295 \nL 154.866598 152.166984 \nL 157.263231 152.803413 \nL 158.602898 152.983658 \nL 160.046577 153.063366 \nL 161.601379 153.034918 \nL 163.274068 152.889703 \nL 165.070847 152.618131 \nL 166.997076 152.209674 \nL 169.056918 151.652956 \nL 171.252878 150.935933 \nL 173.585244 150.046159 \nL 176.051417 148.971193 \nL 178.645121 147.699148 \nL 181.355497 146.219472 \nL 184.166117 144.523925 \nL 187.053943 142.607825 \nL 189.988308 140.471533 \nL 192.930023 138.122167 \nL 195.830746 135.575432 \nL 198.632803 132.857443 \nL 201.269679 130.006298 \nL 203.667374 127.073085 \nL 205.746815 124.121945 \nL 207.427467 121.228852 \nL 208.632035 118.47873 \nL 209.292039 115.960852 \nL 209.35378 113.762636 \nL 208.783939 111.962422 \nL 207.573996 110.622152 \nL 205.742682 109.78105 \nL 203.335831 109.451568 \nL 200.423518 109.618295 \nL 197.094772 110.24028 \nL 193.450641 111.256202 \nL 189.596639 112.591591 \nL 185.635593 114.166638 \nL 181.661784 115.903487 \nL 173.987352 119.593355 \nL 167.044672 123.245305 \nL 161.074899 126.642915 \nL 156.140836 129.724947 \nL 152.191981 132.518661 \nL 149.119087 135.084947 \nL 146.791695 137.485269 \nL 145.080695 139.767 \nL 143.870176 141.960157 \nL 143.062527 144.079686 \nL 142.579591 146.129517 \nL 142.361728 148.106469 \nL 142.365963 150.003287 \nL 142.563891 151.810601 \nL 142.939729 153.517978 \nL 143.488728 155.114248 \nL 144.216007 156.587292 \nL 145.135845 157.923353 \nL 146.271389 159.106031 \nL 147.654716 160.114895 \nL 149.327159 160.923691 \nL 151.339734 161.498073 \nL 153.753402 161.792755 \nL 156.638746 161.748031 \nL 160.074317 161.285767 \nL 164.142458 160.305228 \nL 166.438531 159.58211 \nL 168.920726 158.679897 \nL 171.595421 157.578756 \nL 174.466174 156.257637 \nL 177.532581 154.694808 \nL 180.788885 152.8687 \nL 184.222308 150.759142 \nL 187.81117 148.349097 \nL 191.522793 145.626962 \nL 195.311377 142.589476 \nL 199.116027 139.245206 \nL 202.859283 135.618432 \nL 206.446573 131.753115 \nL 209.767095 127.716317 \nL 212.696754 123.600291 \nL 215.103593 119.522178 \nL 216.855919 115.620326 \nL 217.832917 112.046441 \nL 217.936824 108.953491 \nL 217.105076 106.48041 \nL 215.320293 104.735677 \nL 212.615889 103.782906 \nL 209.075689 103.631753 \nL 204.827066 104.236528 \nL 200.028599 105.503146 \nL 194.854551 107.302934 \nL 189.478983 109.490127 \nL 184.062203 111.919303 \nL 173.624478 117.004173 \nL 160.160154 124.00373 \nL 149.973009 129.606782 \nL 144.872602 132.672339 \nL 140.888613 135.376447 \nL 137.796926 137.851799 \nL 135.38848 140.192809 \nL 133.480889 142.457065 \nL 131.920841 144.673917 \nL 129.96217 147.930272 \nL 126.938147 153.142509 \nL 125.600124 155.126962 \nL 124.096247 157.038287 \nL 122.368262 158.863811 \nL 120.356848 160.587171 \nL 117.999902 162.185513 \nL 115.2319 163.62547 \nL 111.984913 164.857721 \nL 110.160716 165.374448 \nL 108.192162 165.80979 \nL 106.072315 166.149593 \nL 103.795569 166.377056 \nL 101.358245 166.472415 \nL 98.759351 166.412653 \nL 96.001522 166.171307 \nL 93.09213 165.718413 \nL 90.044572 165.020703 \nL 86.879723 164.042124 \nL 83.627455 162.74486 \nL 80.328133 161.090969 \nL 77.033883 159.044785 \nL 73.809391 156.576186 \nL 70.731907 153.664731 \nL 67.890058 150.30452 \nL 65.381154 146.509373 \nL 63.30668 142.317718 \nL 61.766019 137.796224 \nL 60.848678 133.041164 \nL 60.625813 128.176434 \nL 61.142195 123.347707 \nL 62.409995 118.712657 \nL 64.405652 114.428347 \nL 67.070653 110.637503 \nL 70.316262 107.455909 \nL 74.031492 104.963116 \nL 78.092905 103.197913 \nL 82.374635 102.158844 \nL 86.757194 101.809244 \nL 91.13411 102.085282 \nL 95.415974 102.90529 \nL 99.532104 104.178912 \nL 103.430251 105.814841 \nL 107.07499 107.726697 \nL 110.44536 109.836853 \nL 113.532244 112.078438 \nL 116.335794 114.395908 \nL 118.863115 116.744661 \nL 121.126275 119.089976 \nL 123.140674 121.4057 \nL 124.923753 123.672822 \nL 126.493975 125.87813 \nL 129.070518 130.072303 \nL 131.01449 133.956616 \nL 132.455549 137.532352 \nL 133.504157 140.817666 \nL 134.250756 143.838088 \nL 134.95667 147.932115 \nL 135.315846 151.579978 \nL 135.439672 154.857662 \nL 135.345532 158.758055 \nL 135.009152 162.225742 \nL 134.595101 164.597084 \nL 134.015621 166.807231 \nL 133.226208 168.884642 \nL 132.160396 170.855817 \nL 131.251162 172.123119 \nL 130.141493 173.360551 \nL 128.786291 174.573126 \nL 127.13005 175.76332 \nL 125.104863 176.929129 \nL 122.628334 178.060858 \nL 119.601799 179.135947 \nL 115.909567 180.110805 \nL 111.420704 180.90823 \nL 108.834019 181.202636 \nL 105.996128 181.398696 \nL 102.891182 181.467724 \nL 99.505883 181.374056 \nL 95.831168 181.073892 \nL 91.864458 180.514203 \nL 87.612536 179.631892 \nL 83.095144 178.353504 \nL 78.34928 176.595904 \nL 73.434043 174.268499 \nL 68.435608 171.277713 \nL 63.471632 167.534481 \nL 58.693948 162.965312 \nL 54.287962 157.527061 \nL 50.466936 151.224495 \nL 47.459615 144.128312 \nL 45.490457 136.389557 \nL 44.753826 128.245101 \nL 45.385703 120.009068 \nL 47.439042 112.047426 \nL 50.86933 104.737669 \nL 55.535471 98.421004 \nL 61.216835 93.35801 \nL 67.642614 89.698778 \nL 74.526056 87.473898 \nL 81.595784 86.606179 \nL 88.618454 86.937264 \nL 95.410698 88.260568 \nL 101.841402 90.352719 \nL 107.82716 92.998358 \nL 113.324095 96.00627 \nL 118.318658 99.2175 \nL 122.819034 102.50713 \nL 126.847994 105.781963 \nL 130.437354 108.976089 \nL 133.623938 112.045635 \nL 136.446738 114.9637 \nL 141.157032 120.296659 \nL 144.866222 124.949471 \nL 149.120806 130.748262 \nL 153.431744 136.596811 \nL 155.358405 138.831272 \nL 157.290262 140.652044 \nL 159.31811 142.07641 \nL 161.515625 143.108242 \nL 162.696982 143.474698 \nL 163.941789 143.738843 \nL 165.255227 143.897833 \nL 166.641522 143.948244 \nL 168.103839 143.886151 \nL 169.644144 143.70725 \nL 172.959403 142.980888 \nL 176.570847 141.734086 \nL 180.426698 139.940611 \nL 184.42915 137.59604 \nL 186.439642 136.225819 \nL 188.424264 134.734835 \nL 190.354098 133.136645 \nL 192.196564 131.449522 \nL 193.915945 129.696802 \nL 195.474217 127.906921 \nL 196.832237 126.113124 \nL 197.951271 124.352726 \nL 198.79481 122.665913 \nL 199.3306 121.094064 \nL 199.532715 119.67767 \nL 199.383506 118.454016 \nL 198.875189 117.454812 \nL 198.010895 116.70407 \nL 196.805013 116.216488 \nL 195.282727 115.996531 \nL 193.478807 116.038406 \nL 191.435688 116.326895 \nL 189.201148 116.838915 \nL 186.82572 117.545665 \nL 181.853309 119.413616 \nL 176.89013 121.672836 \nL 172.22973 124.103357 \nL 168.069258 126.550109 \nL 164.51587 128.922683 \nL 161.606334 131.179719 \nL 159.329881 133.309441 \nL 157.648502 135.313355 \nL 156.512476 137.195372 \nL 155.870995 138.955903 \nL 155.678798 140.58938 \nL 155.899793 142.083711 \nL 156.508634 143.420506 \nL 157.490882 144.575466 \nL 158.842217 145.518511 \nL 160.56686 146.213627 \nL 162.675207 146.61854 \nL 165.180463 146.684457 \nL 168.093862 146.356346 \nL 171.418002 145.574488 \nL 175.137656 144.278268 \nL 179.207772 142.413609 \nL 183.538849 139.945461 \nL 185.75825 138.483781 \nL 187.981332 136.876389 \nL 190.177909 135.133412 \nL 192.31291 133.270433 \nL 194.346652 131.309157 \nL 196.235482 129.277867 \nL 197.932876 127.211486 \nL 199.390997 125.151143 \nL 200.562759 123.143159 \nL 201.404274 121.237311 \nL 201.877561 119.484449 \nL 201.953308 117.933599 \nL 201.613365 116.628722 \nL 200.852676 115.605569 \nL 199.680393 114.888958 \nL 198.119906 114.490904 \nL 196.207802 114.409875 \nL 193.991745 114.631314 \nL 191.527599 115.129384 \nL 188.876053 115.869595 \nL 186.099192 116.812011 \nL 180.406383 119.135793 \nL 174.868126 121.787265 \nL 169.789062 124.524866 \nL 165.35131 127.198416 \nL 161.633483 129.736264 \nL 158.640345 132.118866 \nL 156.331713 134.353202 \nL 154.645435 136.454392 \nL 153.513434 138.435155 \nL 152.871813 140.301198 \nL 152.666572 142.050159 \nL 152.85634 143.672144 \nL 153.41322 145.150718 \nL 154.32252 146.46365 \nL 155.581799 147.583171 \nL 157.199464 148.475635 \nL 159.192897 149.100783 \nL 161.58591 149.410712 \nL 164.405146 149.348932 \nL 167.67476 148.850059 \nL 171.408622 147.841075 \nL 175.599091 146.245478 \nL 177.853582 145.204925 \nL 180.201623 143.992318 \nL 182.62868 142.602303 \nL 185.115328 141.032395 \nL 187.636588 139.283981 \nL 190.161365 137.363444 \nL 192.652087 135.28336 \nL 195.064647 133.063643 \nL 197.348764 130.732535 \nL 199.448912 128.327212 \nL 201.305905 125.893857 \nL 202.859208 123.486929 \nL 204.049939 121.167496 \nL 204.824436 119.000505 \nL 205.138153 117.05108 \nL 204.959468 115.380105 \nL 204.272945 114.039481 \nL 203.08159 113.0678 \nL 201.40766 112.486905 \nL 199.291826 112.300107 \nL 196.79072 112.492236 \nL 193.973117 113.031669 \nL 190.91528 113.873923 \nL 187.696044 114.966244 \nL 184.392233 116.252502 \nL 177.806315 119.191341 \nL 171.614037 122.319774 \nL 166.106209 125.392702 \nL 161.421986 128.288522 \nL 157.587754 130.974125 \nL 154.559225 133.464528 \nL 152.25585 135.791918 \nL 150.584865 137.987353 \nL 149.45624 140.072656 \nL 148.790962 142.058535 \nL 148.524917 143.945773 \nL 148.610108 145.727308 \nL 149.014398 147.390164 \nL 149.720562 148.91674 \nL 150.725083 150.285268 \nL 152.03693 151.469562 \nL 153.676371 152.438103 \nL 155.673704 153.15254 \nL 158.067642 153.565807 \nL 160.902907 153.619994 \nL 164.226318 153.244388 \nL 168.080355 152.354412 \nL 170.216013 151.686528 \nL 172.492845 150.852809 \nL 174.90945 149.840027 \nL 177.461168 148.635262 \nL 180.139195 147.226566 \nL 182.929587 145.603855 \nL 185.812213 143.760046 \nL 188.759648 141.69246 \nL 191.736188 139.404486 \nL 194.697016 136.907421 \nL 197.587758 134.222389 \nL 200.344611 131.38213 \nL 202.895268 128.432368 \nL 205.16087 125.432415 \nL 207.059121 122.454594 \nL 208.508637 119.582095 \nL 209.434331 116.905051 \nL 209.773474 114.514828 \nL 209.481759 112.496927 \nL 208.538561 110.923305 \nL 206.950465 109.845173 \nL 204.752387 109.287615 \nL 202.005821 109.24701 \nL 198.794399 109.691902 \nL 195.21731 110.56722 \nL 191.381622 111.800987 \nL 187.394574 113.312372 \nL 183.356882 115.019626 \nL 175.471393 118.728481 \nL 168.255982 122.45999 \nL 161.999263 125.954554 \nL 156.794071 129.125318 \nL 152.604745 131.989602 \nL 149.326412 134.608192 \nL 146.826846 137.046897 \nL 144.972063 139.358457 \nL 143.640058 141.577617 \nL 142.726933 143.722886 \nL 142.148544 145.800646 \nL 141.839754 147.809357 \nL 141.752561 149.742912 \nL 141.8539 151.592915 \nL 142.123542 153.349981 \nL 142.552316 155.004271 \nL 143.140768 156.545453 \nL 143.89828 157.96224 \nL 144.842624 159.241586 \nL 145.999921 160.367577 \nL 147.404931 161.319985 \nL 149.101586 162.072415 \nL 151.143602 162.589947 \nL 153.594909 162.826178 \nL 156.529459 162.719553 \nL 160.029645 162.189091 \nL 164.182063 161.129917 \nL 166.52902 160.361832 \nL 169.068616 159.409731 \nL 171.807663 158.252767 \nL 174.750012 156.868779 \nL 177.895351 155.234848 \nL 181.237706 153.328199 \nL 184.763671 151.127532 \nL 188.450364 148.614889 \nL 192.263197 145.778133 \nL 196.153576 142.614105 \nL 200.056807 139.132405 \nL 203.890525 135.35961 \nL 207.554162 131.343533 \nL 210.930031 127.156881 \nL 213.886634 122.899375 \nL 216.284748 118.69716 \nL 217.986437 114.698438 \nL 218.866721 111.064474 \nL 218.826786 107.956059 \nL 217.806903 105.516564 \nL 215.796698 103.854253 \nL 212.840315 103.027304 \nL 209.034869 103.035115 \nL 204.521894 103.818381 \nL 199.473157 105.2682 \nL 194.07358 107.242146 \nL 188.504399 109.583638 \nL 182.92936 112.140408 \nL 172.279003 117.392509 \nL 158.698706 124.462787 \nL 148.526293 130.026179 \nL 143.459106 133.049142 \nL 139.506197 135.712912 \nL 136.433432 138.154288 \nL 134.026023 140.467786 \nL 132.098334 142.709377 \nL 130.495061 144.906338 \nL 127.772651 149.189385 \nL 125.781782 152.281374 \nL 124.336398 154.264903 \nL 122.72045 156.170338 \nL 120.872268 157.981263 \nL 118.730455 159.676673 \nL 116.232382 161.227873 \nL 113.314089 162.594177 \nL 109.912192 163.717132 \nL 108.011373 164.162469 \nL 105.968824 164.513248 \nL 103.779725 164.75372 \nL 101.441126 164.865488 \nL 98.952628 164.827282 \nL 96.317221 164.61481 \nL 93.542273 164.200746 \nL 90.640668 163.554945 \nL 87.632059 162.64494 \nL 84.544188 161.436879 \nL 81.414157 159.896985 \nL 78.289506 157.993666 \nL 75.228874 155.700363 \nL 72.301972 152.999099 \nL 69.588568 149.884621 \nL 67.17618 146.368852 \nL 65.156301 142.485052 \nL 63.61907 138.291022 \nL 62.646696 133.870444 \nL 62.306191 129.33153 \nL 62.642349 124.802456 \nL 63.672046 120.4235 \nL 65.381001 116.336585 \nL 67.723689 112.673619 \nL 70.626632 109.545344 \nL 73.994613 107.032558 \nL 77.718774 105.18107 \nL 81.685309 104.000901 \nL 85.783495 103.469495 \nL 89.912107 103.537824 \nL 93.983779 104.13814 \nL 97.927223 105.191958 \nL 101.68768 106.617249 \nL 105.225975 108.334174 \nL 108.516778 110.269129 \nL 111.546422 112.357175 \nL 114.310643 114.543119 \nL 116.812452 116.78156 \nL 119.060241 119.036275 \nL 121.066191 121.279216 \nL 122.844961 123.489334 \nL 124.412654 125.651382 \nL 125.78601 127.754826 \nL 128.016375 131.761471 \nL 129.663393 135.485212 \nL 130.8398 138.928997 \nL 131.640071 142.109829 \nL 132.139879 145.051 \nL 132.397239 147.777636 \nL 132.454411 150.314289 \nL 132.339979 152.683734 \nL 132.070769 154.906477 \nL 131.653435 157.000652 \nL 131.085604 158.982062 \nL 130.356588 160.86429 \nL 129.447651 162.658703 \nL 128.331866 164.37428 \nL 126.973621 166.017109 \nL 125.327821 167.589418 \nL 123.338918 169.087867 \nL 120.939976 170.500763 \nL 118.052167 171.803726 \nL 114.585399 172.953093 \nL 110.441327 173.87624 \nL 108.084025 174.21911 \nL 105.520896 174.457987 \nL 102.741969 174.568893 \nL 99.739826 174.52278 \nL 96.510887 174.284884 \nL 93.057047 173.814191 \nL 89.387708 173.063145 \nL 85.522196 171.9778 \nL 81.492557 170.498659 \nL 77.346545 168.562527 \nL 73.150581 166.105764 \nL 68.992216 163.069291 \nL 64.98143 159.405565 \nL 61.249999 155.087546 \nL 57.947909 150.119055 \nL 55.236097 144.545358 \nL 53.275102 138.461898 \nL 52.210157 132.018615 \nL 52.154356 125.417121 \nL 53.172629 118.898989 \nL 55.270013 112.725232 \nL 58.387217 107.1496 \nL 62.405188 102.390541 \nL 67.158044 98.607708 \nL 72.451726 95.887781 \nL 78.084367 94.241935 \nL 83.864553 93.614221 \nL 89.624796 93.897548 \nL 95.229157 94.952956 \nL 100.575532 96.628261 \nL 105.593877 98.773316 \nL 110.241997 101.250695 \nL 114.500306 103.941841 \nL 118.366524 106.749412 \nL 121.850936 109.596922 \nL 124.972454 112.426762 \nL 127.75551 115.197368 \nL 130.227699 117.880207 \nL 132.418075 120.456944 \nL 136.06988 125.255119 \nL 138.934618 129.56469 \nL 141.212816 133.404268 \nL 144.670676 139.824832 \nL 146.811755 143.688954 \nL 148.211763 145.867424 \nL 149.682655 147.748237 \nL 151.293352 149.337843 \nL 153.107291 150.632151 \nL 155.185119 151.615754 \nL 156.341607 151.982886 \nL 157.586319 152.260907 \nL 158.926552 152.444218 \nL 160.369466 152.526305 \nL 161.921976 152.499702 \nL 163.590598 152.355978 \nL 165.381244 152.085764 \nL 167.298929 151.678796 \nL 169.347424 151.124022 \nL 171.528795 150.409793 \nL 173.842855 149.524136 \nL 176.286501 148.455166 \nL 178.852947 147.191658 \nL 181.530842 145.723806 \nL 184.303326 144.044204 \nL 187.147033 142.149066 \nL 190.03114 140.039669 \nL 192.916542 137.724006 \nL 195.75532 135.218527 \nL 198.490635 132.549848 \nL 201.057295 129.756181 \nL 203.38317 126.888194 \nL 205.391616 124.008958 \nL 207.005008 121.192615 \nL 208.149333 118.52148 \nL 208.759521 116.081558 \nL 208.785112 113.956539 \nL 208.195509 112.22095 \nL 206.984075 110.933248 \nL 205.170288 110.129976 \nL 202.799485 109.822052 \nL 199.940016 109.993923 \nL 196.678164 110.605827 \nL 193.11153 111.598803 \nL 189.341873 112.90146 \nL 185.468348 114.43741 \nL 177.76161 117.918195 \nL 170.562906 121.550891 \nL 164.21611 125.030999 \nL 158.86483 128.228654 \nL 154.511592 131.13119 \nL 151.07657 133.783174 \nL 148.442144 136.244159 \nL 146.481752 138.566219 \nL 145.076378 140.785789 \nL 144.122677 142.923493 \nL 143.535988 144.987292 \nL 143.250463 146.976349 \nL 143.217746 148.884335 \nL 143.405117 150.701751 \nL 143.793591 152.417312 \nL 144.376274 154.018463 \nL 145.157103 155.491291 \nL 146.150012 156.819886 \nL 147.378499 157.985288 \nL 148.875534 158.964002 \nL 150.683668 159.726081 \nL 152.85516 160.232699 \nL 155.451762 160.43318 \nL 158.543646 160.261481 \nL 162.206539 159.632403 \nL 166.515696 158.438194 \nL 168.933375 157.588888 \nL 171.534565 156.54711 \nL 174.32216 155.293222 \nL 177.295275 153.807048 \nL 180.447947 152.068676 \nL 183.767626 150.05961 \nL 187.233426 147.764375 \nL 190.81425 145.172615 \nL 194.466865 142.281745 \nL 198.134138 139.100085 \nL 201.743733 135.650362 \nL 205.207621 131.973244 \nL 208.422905 128.130415 \nL 211.274422 124.206443 \nL 213.639571 120.308613 \nL 215.395528 116.563756 \nL 216.428687 113.111478 \nL 216.645555 110.093651 \nL 215.983746 107.640926 \nL 214.421273 105.85809 \nL 211.982179 104.810827 \nL 208.737012 104.516829 \nL 204.797553 104.943349 \nL 200.306482 106.012213 \nL 195.423806 107.611085 \nL 190.312472 109.608609 \nL 185.125563 111.870201 \nL 175.034661 116.708054 \nL 165.912269 121.390655 \nL 154.758838 127.424383 \nL 149.039298 130.752515 \nL 144.52603 133.655138 \nL 141.015497 136.26672 \nL 138.301048 138.696458 \nL 136.194089 141.018647 \nL 134.532092 143.276605 \nL 133.179515 145.490966 \nL 131.49335 148.741891 \nL 128.91786 153.938875 \nL 127.167897 156.88824 \nL 125.804213 158.770073 \nL 124.221682 160.57538 \nL 122.364678 162.293497 \nL 120.17271 163.908448 \nL 117.579366 165.395348 \nL 114.512435 166.715364 \nL 110.896007 167.808801 \nL 108.858226 168.243971 \nL 106.655865 168.58587 \nL 104.281666 168.816683 \nL 101.730244 168.915184 \nL 98.998922 168.856354 \nL 96.088786 168.611065 \nL 93.005953 168.145918 \nL 89.763094 167.423313 \nL 86.381148 166.401928 \nL 82.891202 165.037727 \nL 79.336372 163.285724 \nL 75.773504 161.102681 \nL 72.274355 158.450904 \nL 68.925866 155.303193 \nL 65.829024 151.648793 \nL 63.095819 147.499891 \nL 60.843956 142.897891 \nL 59.189193 137.918226 \nL 58.23577 132.672306 \nL 58.065834 127.305251 \nL 58.729458 121.988459 \nL 60.237055 116.907227 \nL 62.55588 112.244654 \nL 65.611646 108.164367 \nL 69.295184 104.79514 \nL 73.472993 102.220127 \nL 77.999753 100.472504 \nL 82.730587 99.537664 \nL 87.531329 99.360865 \nL 92.285682 99.85807 \nL 96.899083 100.927864 \nL 101.299618 102.462403 \nL 105.436785 104.356247 \nL 109.278903 106.512544 \nL 112.809917 108.846695 \nL 116.026115 111.287842 \nL 118.933097 113.778815 \nL 121.543156 116.275063 \nL 123.873134 118.743068 \nL 125.942712 121.158552 \nL 127.773102 123.504714 \nL 130.803215 127.949877 \nL 133.132735 132.038644 \nL 134.915717 135.772013 \nL 136.285141 139.171152 \nL 137.800709 143.707787 \nL 139.554971 150.015438 \nL 140.761984 154.146224 \nL 141.759225 156.792201 \nL 142.528941 158.355649 \nL 143.420199 159.760675 \nL 144.467793 161.003567 \nL 145.710695 162.075088 \nL 147.193715 162.959425 \nL 148.969066 163.632635 \nL 151.097758 164.060432 \nL 153.650601 164.195234 \nL 156.708354 163.972361 \nL 160.360226 163.305497 \nL 164.699305 162.081883 \nL 167.154425 161.217846 \nL 169.812671 160.158585 \nL 172.680949 158.881561 \nL 175.762784 157.362853 \nL 179.056944 155.577837 \nL 182.55575 153.502252 \nL 186.243067 151.113767 \nL 190.092022 148.394168 \nL 194.062505 145.33226 \nL 198.098679 141.927527 \nL 202.12675 138.194448 \nL 206.053489 134.167237 \nL 209.766038 129.904485 \nL 213.133713 125.49285 \nL 216.012511 121.048654 \nL 218.252794 116.716088 \nL 219.71025 112.660752 \nL 220.259513 109.057914 \nL 219.808889 106.075878 \nL 218.313888 103.856465 \nL 215.786657 102.495964 \nL 212.298895 102.030793 \nL 207.976853 102.43166 \nL 202.988917 103.608049 \nL 197.528037 105.422282 \nL 191.792522 107.709707 \nL 185.968691 110.300396 \nL 174.669785 115.79195 \nL 160.033283 123.338939 \nL 148.963625 129.2471 \nL 143.427697 132.396285 \nL 139.10133 135.122506 \nL 135.733563 137.584426 \nL 133.091445 139.894531 \nL 130.972509 142.121077 \nL 129.206871 144.298511 \nL 126.199805 148.539496 \nL 123.995743 151.595028 \nL 122.396147 153.54694 \nL 120.611011 155.409882 \nL 118.575711 157.16166 \nL 116.227622 158.773832 \nL 113.505263 160.208211 \nL 110.349306 161.412068 \nL 108.591597 161.90564 \nL 106.706201 162.312114 \nL 104.688538 162.617964 \nL 102.535587 162.807485 \nL 100.246435 162.862606 \nL 97.822936 162.76275 \nL 95.270502 162.484811 \nL 92.599009 162.003287 \nL 89.82381 161.29061 \nL 86.966814 160.317829 \nL 84.057546 159.055647 \nL 81.134112 157.475979 \nL 78.243883 155.55403 \nL 75.443723 153.270998 \nL 72.799542 150.617254 \nL 70.384889 147.595893 \nL 68.278468 144.226288 \nL 66.56039 140.547186 \nL 65.307308 136.618665 \nL 64.586691 132.522355 \nL 64.450838 128.359313 \nL 64.931392 124.245253 \nL 66.035245 120.303342 \nL 67.742597 116.655256 \nL 70.007618 113.411627 \nL 72.761772 110.663344 \nL 75.919283 108.475031 \nL 79.383936 106.881562 \nL 83.05618 105.887998 \nL 86.839586 105.472512 \nL 90.646004 105.591573 \nL 94.399054 106.186266 \nL 98.035959 107.188795 \nL 101.507921 108.528273 \nL 104.779448 110.13544 \nL 107.826953 111.946026 \nL 110.637005 113.902817 \nL 113.204479 115.956659 \nL 115.530769 118.066617 \nL 117.62218 120.199547 \nL 119.488547 122.329353 \nL 121.14208 124.436059 \nL 122.596432 126.504843 \nL 123.865967 128.525117 \nL 125.90832 132.394118 \nL 127.379975 136.014358 \nL 128.379304 139.383244 \nL 128.988227 142.512484 \nL 129.271144 145.420718 \nL 129.275492 148.129109 \nL 129.033049 150.658737 \nL 128.561439 153.029144 \nL 127.865525 155.257456 \nL 126.938493 157.35778 \nL 125.762578 159.34061 \nL 124.309445 161.21201 \nL 122.540305 162.972321 \nL 120.405962 164.614127 \nL 117.847098 166.119127 \nL 114.795331 167.453468 \nL 111.175939 168.561006 \nL 109.129635 169.003869 \nL 106.913673 169.35408 \nL 104.520374 169.593808 \nL 101.943838 169.701659 \nL 99.180806 169.65226 \nL 96.231743 169.415896 \nL 93.102161 168.958302 \nL 89.8042 168.240692 \nL 86.358438 167.220177 \nL 82.795891 165.850755 \nL 79.160027 164.085062 \nL 75.508651 161.877132 \nL 71.915247 159.18632 \nL 68.469411 155.982485 \nL 65.275805 152.252291 \nL 62.451111 148.006165 \nL 60.118546 143.285122 \nL 58.399841 138.16608 \nL 57.405053 132.764231 \nL 57.221266 127.230814 \nL 57.901827 121.745407 \nL 59.458139 116.502707 \nL 61.855851 111.695296 \nL 65.016585 107.495089 \nL 68.825136 104.036759 \nL 73.140872 101.40629 \nL 77.811173 99.636481 \nL 82.684541 98.70957 \nL 87.621431 98.565646 \nL 92.501701 99.114478 \nL 97.228462 100.248304 \nL 101.728807 101.853471 \nL 105.95228 103.819677 \nL 109.86798 106.046361 \nL 113.461081 108.446292 \nL 116.729341 110.946969 \nL 119.679901 113.490366 \nL 122.326569 116.031682 \nL 124.687608 118.537539 \nL 126.784002 120.984058 \nL 128.638131 123.35498 \nL 131.710522 127.833232 \nL 134.080968 131.93699 \nL 135.908939 135.671073 \nL 137.33176 139.059418 \nL 138.951152 143.561914 \nL 142.104598 152.841809 \nL 142.924844 154.651824 \nL 143.842283 156.279092 \nL 144.895861 157.72466 \nL 146.126409 158.98353 \nL 147.578619 160.043865 \nL 149.302804 160.885735 \nL 151.35637 161.479304 \nL 153.804849 161.782364 \nL 156.722088 161.737155 \nL 160.188925 161.266571 \nL 164.28917 160.2702 \nL 166.601846 159.536305 \nL 169.101015 158.621339 \nL 171.792971 157.505413 \nL 174.681095 156.167432 \nL 177.764703 154.585659 \nL 181.037626 152.738583 \nL 184.486535 150.606188 \nL 188.089024 148.171744 \nL 191.811509 145.424142 \nL 195.607109 142.360859 \nL 199.413692 138.991498 \nL 203.152441 135.341699 \nL 206.727388 131.457087 \nL 210.026453 127.406659 \nL 212.924543 123.284724 \nL 215.289182 119.210395 \nL 216.988871 115.323597 \nL 217.903888 111.77688 \nL 217.938538 108.723023 \nL 217.033257 106.29949 \nL 215.174364 104.611998 \nL 212.399274 103.720405 \nL 208.795626 103.630076 \nL 204.493918 104.291135 \nL 199.654804 105.606051 \nL 194.453389 107.443904 \nL 189.063415 109.658032 \nL 183.643916 112.103418 \nL 173.228014 117.194452 \nL 159.833319 124.167242 \nL 149.722873 129.736951 \nL 144.666797 132.785814 \nL 140.719163 135.478515 \nL 137.655686 137.946681 \nL 135.267925 140.28335 \nL 133.374402 142.544885 \nL 131.822741 144.759767 \nL 129.867755 148.013358 \nL 126.83068 153.219388 \nL 125.481524 155.200391 \nL 123.9632 157.107487 \nL 122.217331 158.927728 \nL 120.184402 160.644337 \nL 117.802098 162.233807 \nL 115.004757 163.661821 \nL 111.724524 164.877696 \nL 109.882373 165.38401 \nL 107.89513 165.807086 \nL 105.756043 166.132443 \nL 103.459766 166.342917 \nL 101.002979 166.418345 \nL 98.385165 166.335298 \nL 95.60957 166.066892 \nL 92.684337 165.582774 \nL 89.623814 164.84935 \nL 86.450009 163.830378 \nL 83.194117 162.488051 \nL 79.897976 160.784731 \nL 76.61529 158.685462 \nL 73.412326 156.161353 \nL 70.36777 153.193796 \nL 67.571369 149.779378 \nL 65.12098 145.935049 \nL 63.117859 141.702849 \nL 61.660168 137.153291 \nL 60.835091 132.386285 \nL 60.710379 127.528694 \nL 61.326542 122.727927 \nL 62.691 118.141773 \nL 64.775462 113.925596 \nL 67.517245 110.218654 \nL 70.824477 107.131946 \nL 74.584345 104.739513 \nL 78.672973 103.074583 \nL 82.965299 102.130773 \nL 87.343613 101.86755 \nL 91.703819 102.218501 \nL 95.959156 103.100681 \nL 100.041557 104.423552 \nL 103.901172 106.096498 \nL 107.504633 108.034399 \nL 110.83266 110.161176 \nL 113.87744 112.411597 \nL 116.640092 114.73172 \nL 119.128396 117.078365 \nL 121.354863 119.41805 \nL 123.335146 121.725654 \nL 125.086789 123.98299 \nL 126.628263 126.177493 \nL 129.155005 130.348852 \nL 131.058397 134.210738 \nL 132.466543 137.76574 \nL 133.488259 141.032572 \nL 134.212413 144.036897 \nL 134.889927 148.111097 \nL 135.223401 151.743796 \nL 135.320752 155.010407 \nL 135.184766 158.90167 \nL 134.792219 162.366301 \nL 134.321352 164.739431 \nL 133.66709 166.955109 \nL 132.778431 169.042021 \nL 132.019821 170.374906 \nL 131.094743 171.66957 \nL 129.966479 172.932362 \nL 128.589622 174.168118 \nL 126.908322 175.378974 \nL 124.854329 176.562351 \nL 122.34498 177.707652 \nL 119.281523 178.790954 \nL 115.548566 179.766664 \nL 111.016215 180.554743 \nL 108.407409 180.839485 \nL 105.547733 181.021793 \nL 102.42198 181.072331 \nL 99.01771 180.954743 \nL 95.326981 180.624522 \nL 91.348642 180.027989 \nL 87.091257 179.101543 \nL 82.576726 177.771508 \nL 77.844581 175.955013 \nL 72.956738 173.56246 \nL 68.002318 170.502301 \nL 63.101768 166.688831 \nL 58.409085 162.053516 \nL 54.11061 156.559808 \nL 50.418634 150.220493 \nL 47.558355 143.114937 \nL 45.747753 135.402263 \nL 45.171903 127.325126 \nL 45.95557 119.199367 \nL 48.140067 111.387352 \nL 51.670791 104.257444 \nL 56.399878 98.137368 \nL 62.104334 93.272189 \nL 68.515403 89.797257 \nL 75.351954 87.731612 \nL 82.350262 86.991066 \nL 89.285168 87.415025 \nL 95.980818 88.798609 \nL 102.312237 90.922834 \nL 108.200553 93.578022 \nL 113.604914 96.578894 \nL 118.513544 99.771888 \nL 122.93548 103.036586 \nL 126.893707 106.283299 \nL 130.419846 109.448653 \nL 133.550286 112.490509 \nL 136.32346 115.38305 \nL 140.951614 120.673555 \nL 144.597503 125.296144 \nL 148.783258 131.070241 \nL 153.034278 136.91573 \nL 154.939581 139.158295 \nL 156.854048 140.992239 \nL 158.867943 142.434076 \nL 161.055046 143.48697 \nL 162.232739 143.865073 \nL 163.475112 144.141457 \nL 164.78755 144.313143 \nL 166.174532 144.376537 \nL 167.639529 144.327516 \nL 169.184859 144.161532 \nL 172.518843 143.459269 \nL 176.163719 142.231505 \nL 180.071828 140.447638 \nL 184.14931 138.097675 \nL 186.206808 136.717144 \nL 188.245002 135.209691 \nL 190.234892 133.58812 \nL 192.143538 131.87009 \nL 193.934523 130.078524 \nL 195.568756 128.241752 \nL 197.005616 126.393286 \nL 198.204498 124.57117 \nL 199.126664 122.816817 \nL 199.737368 121.17333 \nL 200.008052 119.683361 \nL 199.918457 118.386683 \nL 199.458413 117.317662 \nL 198.629074 116.502911 \nL 197.443427 115.959437 \nL 195.925956 115.693542 \nL 194.11147 115.700625 \nL 192.043185 115.965922 \nL 189.770279 116.466107 \nL 187.345188 117.171475 \nL 184.820902 118.048489 \nL 179.675318 120.178842 \nL 174.687847 122.599043 \nL 170.117884 125.108706 \nL 166.124029 127.5794 \nL 162.77904 129.944828 \nL 160.093348 132.18083 \nL 158.038453 134.285549 \nL 156.566 136.264783 \nL 155.621508 138.123175 \nL 155.153288 139.860006 \nL 155.117679 141.467848 \nL 155.481661 142.932603 \nL 156.223711 144.233965 \nL 157.333519 145.345776 \nL 158.810874 146.236056 \nL 160.663861 146.8667 \nL 162.906259 147.193006 \nL 165.553858 147.163352 \nL 168.619243 146.71958 \nL 172.104416 145.798813 \nL 175.990677 144.337977 \nL 180.225395 142.282445 \nL 182.443813 141.020307 \nL 184.706099 139.600408 \nL 186.988932 138.025792 \nL 189.263975 136.303878 \nL 191.4977 134.447359 \nL 193.651463 132.475012 \nL 195.681935 130.412351 \nL 197.541977 128.291961 \nL 199.182007 126.153387 \nL 200.551904 124.042407 \nL 201.603397 122.009625 \nL 202.29285 120.108293 \nL 202.584209 118.391464 \nL 202.451882 116.908659 \nL 201.88318 115.702391 \nL 200.879997 114.804906 \nL 199.459474 114.235648 \nL 197.653441 113.999833 \nL 195.506701 114.088324 \nL 193.07429 114.478917 \nL 190.418049 115.13875 \nL 187.602924 116.02758 \nL 184.693386 117.101336 \nL 178.828713 119.628177 \nL 173.230963 122.405277 \nL 168.178914 125.20707 \nL 163.825385 127.904783 \nL 160.223018 130.445655 \nL 157.356798 132.823296 \nL 155.173173 135.052114 \nL 153.601973 137.150433 \nL 152.571075 139.131652 \nL 152.015261 141.000963 \nL 151.88093 142.755133 \nL 152.128136 144.383472 \nL 152.730983 145.868998 \nL 153.677076 147.189182 \nL 154.96646 148.316091 \nL 156.610187 149.215984 \nL 158.628502 149.84836 \nL 161.048411 150.164765 \nL 163.900186 150.107618 \nL 167.212176 149.609639 \nL 171.003033 148.594757 \nL 173.0785 147.86815 \nL 175.270323 146.981936 \nL 177.572301 145.926653 \nL 179.974665 144.694023 \nL 182.463346 143.277685 \nL 185.019214 141.674095 \nL 187.617329 139.88359 \nL 190.226302 137.911601 \nL 192.807841 135.769944 \nL 195.316593 133.478108 \nL 197.700436 131.064379 \nL 199.901363 128.566631 \nL 201.85706 126.032505 \nL 203.503288 123.518808 \nL 204.777052 121.089823 \nL 205.620414 118.814504 \nL 205.984721 116.762543 \nL 205.834798 114.999557 \nL 205.152605 113.58193 \nL 203.939819 112.551915 \nL 202.21885 111.933824 \nL 200.032059 111.731858 \nL 197.439131 111.930113 \nL 194.512974 112.494728 \nL 191.33462 113.377793 \nL 187.987859 114.522439 \nL 184.554208 115.868216 \nL 177.717369 118.932138 \nL 171.303665 122.174844 \nL 165.61376 125.33991 \nL 160.786582 128.304864 \nL 156.842532 131.04143 \nL 153.729067 133.571163 \nL 151.357241 135.932205 \nL 149.626737 138.160173 \nL 148.441135 140.280079 \nL 147.716147 142.304832 \nL 147.383301 144.236854 \nL 147.390926 146.070561 \nL 147.703679 147.79458 \nL 148.301433 149.393262 \nL 149.177968 150.847336 \nL 150.339751 152.133794 \nL 151.804847 153.225106 \nL 153.601933 154.087837 \nL 155.769196 154.680758 \nL 158.352787 154.952575 \nL 161.404264 154.839487 \nL 164.976149 154.263014 \nL 166.972158 153.77218 \nL 169.114402 153.129018 \nL 171.405593 152.319615 \nL 173.846151 151.329588 \nL 176.433434 150.144519 \nL 179.160825 148.750567 \nL 182.016681 147.135322 \nL 184.983187 145.288922 \nL 188.035133 143.20548 \nL 191.138702 140.884819 \nL 194.250417 138.334466 \nL 197.316378 135.571826 \nL 200.272039 132.626325 \nL 203.04278 129.541264 \nL 205.545533 126.374989 \nL 207.691699 123.200897 \nL 209.391465 120.10581 \nL 210.559467 117.186371 \nL 211.121431 114.543281 \nL 211.021164 112.273691 \nL 210.226967 110.462489 \nL 208.736427 109.173712 \nL 206.578631 108.443515 \nL 203.81316 108.276155 \nL 200.525845 108.643879 \nL 196.821812 109.490788 \nL 192.816914 110.740036 \nL 188.628852 112.302895 \nL 184.369252 114.088078 \nL 176.017127 117.993616 \nL 168.355112 121.924589 \nL 161.706832 125.585066 \nL 156.175865 128.878022 \nL 151.722171 131.826401 \nL 148.229279 134.502554 \nL 145.551128 136.983905 \nL 143.5402 139.332408 \nL 142.062237 141.589269 \nL 141.002543 143.777239 \nL 140.267413 145.905502 \nL 139.782979 147.974571 \nL 139.492906 149.98024 \nL 139.334911 152.856083 \nL 139.433292 155.553366 \nL 139.744118 158.053136 \nL 140.258813 160.339559 \nL 140.997781 162.397406 \nL 141.637232 163.633415 \nL 142.417652 164.752329 \nL 143.366049 165.744157 \nL 144.516429 166.595203 \nL 145.9109 167.286612 \nL 147.600962 167.792443 \nL 149.648893 168.077126 \nL 152.129004 168.092067 \nL 155.12833 167.771272 \nL 158.745972 167.025874 \nL 163.089677 165.737864 \nL 168.267262 163.754067 \nL 171.198429 162.442885 \nL 174.369106 160.883138 \nL 177.782653 159.045864 \nL 181.436262 156.901387 \nL 185.318726 154.4208 \nL 189.407784 151.578168 \nL 193.667107 148.353587 \nL 198.043073 144.737255 \nL 202.461623 140.734534 \nL 206.825669 136.371863 \nL 211.013746 131.702997 \nL 214.88078 126.814704 \nL 218.261946 121.830517 \nL 220.98052 116.91077 \nL 222.860167 112.247031 \nL 223.741292 108.049523 \nL 223.499862 104.527406 \nL 222.06581 101.863862 \nL 219.437171 100.190165 \nL 215.686181 99.564648 \nL 210.95492 99.962233 \nL 205.440539 101.278068 \nL 199.372969 103.34481 \nL 192.989837 105.959067 \nL 186.513724 108.910392 \nL 174.005009 115.089273 \nL 142.881146 131.094124 \nL 137.643324 133.960186 \nL 133.563343 136.440665 \nL 130.361022 138.698275 \nL 127.791397 140.835495 \nL 125.648826 142.906594 \nL 121.999458 146.912072 \nL 119.334831 149.763797 \nL 117.41492 151.552735 \nL 115.291974 153.217178 \nL 112.901356 154.719693 \nL 110.186886 156.013413 \nL 107.101989 157.038461 \nL 105.409592 157.426941 \nL 103.613592 157.717778 \nL 101.713172 157.897993 \nL 99.709508 157.953091 \nL 97.606229 157.86708 \nL 95.409961 157.622538 \nL 93.130907 157.200838 \nL 90.783478 156.582519 \nL 88.386932 155.747873 \nL 85.965938 154.677778 \nL 83.55105 153.354835 \nL 81.178937 151.76479 \nL 78.892322 149.898262 \nL 76.739437 147.752699 \nL 74.772963 145.334444 \nL 73.048311 142.660714 \nL 71.621241 139.761221 \nL 70.544891 136.679129 \nL 69.866368 133.471022 \nL 69.623227 130.205607 \nL 69.840182 126.96103 \nL 70.526539 123.820894 \nL 71.67469 120.869258 \nL 73.259993 118.185158 \nL 75.242094 115.837359 \nL 77.567559 113.87995 \nL 80.173483 112.349392 \nL 82.99161 111.263301 \nL 85.952435 110.620986 \nL 88.988895 110.405486 \nL 92.03931 110.586673 \nL 95.049443 111.124892 \nL 97.973645 111.974707 \nL 100.775227 113.088228 \nL 103.426207 114.417953 \nL 105.906617 115.918876 \nL 108.203534 117.549909 \nL 110.310005 119.2747 \nL 112.223954 121.061943 \nL 113.947149 122.88533 \nL 115.484258 124.723243 \nL 116.842043 126.558302 \nL 118.028662 128.376845 \nL 119.053102 130.168375 \nL 120.652864 133.641225 \nL 121.714566 136.937835 \nL 122.303995 140.041944 \nL 122.475095 142.950822 \nL 122.268014 145.668824 \nL 121.708659 148.202905 \nL 120.809113 150.559382 \nL 119.568529 152.741387 \nL 117.97431 154.746543 \nL 116.003608 156.564457 \nL 113.625349 158.173686 \nL 112.272127 158.889409 \nL 110.803202 159.537957 \nL 109.213972 160.111696 \nL 107.500215 160.601423 \nL 105.658405 160.996172 \nL 103.686097 161.283033 \nL 101.582383 161.446984 \nL 99.348463 161.47076 \nL 96.988307 161.334799 \nL 94.50942 161.017307 \nL 91.9237 160.494465 \nL 89.248379 159.740884 \nL 86.506969 158.730364 \nL 83.730172 157.437001 \nL 80.956634 155.836765 \nL 78.233381 153.909562 \nL 75.615804 151.641756 \nL 73.166944 149.029103 \nL 70.955923 146.079866 \nL 69.055371 142.817792 \nL 67.537815 139.284509 \nL 66.471138 135.540792 \nL 65.913478 131.666126 \nL 65.908039 127.756232 \nL 66.478583 123.918308 \nL 67.626232 120.264355 \nL 69.328251 116.903195 \nL 71.539104 113.93226 \nL 74.193693 111.430327 \nL 77.21235 109.452274 \nL 80.50684 108.026456 \nL 83.98651 107.155026 \nL 87.563849 106.816677 \nL 91.158888 106.971236 \nL 94.702177 107.565174 \nL 98.136378 108.537197 \nL 101.416604 109.823289 \nL 104.509856 111.360744 \nL 107.393836 113.091153 \nL 110.055447 114.962224 \nL 112.48917 116.928728 \nL 114.695496 118.952684 \nL 116.679496 121.003058 \nL 118.449567 123.055149 \nL 120.016395 125.089805 \nL 121.39208 127.092599 \nL 122.58946 129.053019 \nL 124.501242 132.819974 \nL 125.851782 136.359375 \nL 126.729975 139.665101 \nL 127.209451 142.745237 \nL 127.347227 145.614972 \nL 127.183925 148.292193 \nL 126.744749 150.794761 \nL 126.040696 153.138793 \nL 125.069711 155.33745 \nL 123.817634 157.399842 \nL 122.258927 159.329797 \nL 120.357266 161.124141 \nL 118.066245 162.77024 \nL 115.330567 164.242364 \nL 112.088412 165.496561 \nL 110.257366 166.02152 \nL 108.276033 166.463586 \nL 106.137515 166.808667 \nL 103.83615 167.039867 \nL 101.368153 167.13715 \nL 98.732405 167.077034 \nL 95.931441 166.832377 \nL 92.972616 166.372296 \nL 89.86947 165.662351 \nL 86.643257 164.665072 \nL 83.324567 163.340986 \nL 79.954926 161.650327 \nL 76.588173 159.555537 \nL 73.291345 157.024713 \nL 70.144714 154.035979 \nL 67.240587 150.58266 \nL 64.68046 146.678815 \nL 62.570244 142.364451 \nL 61.013592 137.709437 \nL 60.103603 132.814914 \nL 59.913811 127.811165 \nL 60.48965 122.851202 \nL 61.841966 118.100254 \nL 63.943868 113.722201 \nL 66.731821 109.864882 \nL 70.110972 106.646842 \nL 73.96386 104.147744 \nL 78.160941 102.40398 \nL 82.571217 101.409745 \nL 87.071378 101.122826 \nL 91.552549 101.473439 \nL 95.924247 102.37426 \nL 100.115801 103.730023 \nL 104.075776 105.445568 \nL 107.770078 107.431748 \nL 111.179363 109.60917 \nL 114.296221 111.910035 \nL 117.122488 114.278542 \nL 119.666844 116.670291 \nL 121.942782 119.051059 \nL 123.966966 121.395356 \nL 125.75793 123.684914 \nL 127.335087 125.907253 \nL 129.925773 130.122049 \nL 131.888382 134.012964 \nL 133.356409 137.584911 \nL 134.443306 140.858592 \nL 135.242063 143.861161 \nL 136.057582 147.918649 \nL 136.69952 152.630703 \nL 137.215885 158.532678 \nL 137.809676 165.455518 \nL 138.295631 168.514919 \nL 138.874074 170.604627 \nL 139.479013 171.965708 \nL 140.292432 173.141889 \nL 140.987829 173.814736 \nL 141.839589 174.388532 \nL 142.884455 174.850345 \nL 144.167746 175.181928 \nL 145.7452 175.357807 \nL 147.685038 175.342603 \nL 150.070102 175.087314 \nL 152.999722 174.524242 \nL 156.590589 173.560244 \nL 160.975259 172.06824 \nL 166.295669 169.877585 \nL 169.350094 168.452848 \nL 172.687281 166.765643 \nL 176.317872 164.779766 \nL 180.246699 162.456517 \nL 184.470158 159.75605 \nL 188.972915 156.639571 \nL 193.72396 153.072706 \nL 198.672071 149.030293 \nL 203.741007 144.502822 \nL 208.824894 139.504494 \nL 213.784737 134.082522 \nL 218.447247 128.326669 \nL 222.607577 122.377178 \nL 226.037638 116.428406 \nL 228.501256 110.724846 \nL 229.776317 105.546479 \nL 229.682248 101.182052 \nL 228.108601 97.892122 \nL 225.038557 95.868123 \nL 220.560598 95.197312 \nL 214.86352 95.844144 \nL 208.214315 97.655038 \nL 200.923721 100.386111 \nL 193.307778 103.745978 \nL 185.654252 107.441433 \nL 171.120543 114.86642 \nL 158.496497 121.327256 \nL 148.145334 126.400413 \nL 136.545565 131.770274 \nL 128.602856 135.460654 \nL 124.732176 137.450998 \nL 121.638987 139.259664 \nL 119.073124 140.969421 \nL 110.637345 147.050962 \nL 108.416739 148.262186 \nL 106.011265 149.264721 \nL 103.38672 150.002607 \nL 100.529867 150.412123 \nL 99.016733 150.471753 \nL 97.451897 150.42211 \nL 95.841439 150.25349 \nL 94.193696 149.956175 \nL 92.51945 149.520695 \nL 90.832101 148.938202 \nL 89.147798 148.200907 \nL 87.485467 147.302634 \nL 85.866748 146.239445 \nL 84.315785 145.010338 \nL 82.858837 143.617975 \nL 81.523688 142.069382 \nL 80.338855 140.376582 \nL 79.332584 138.557052 \nL 78.531669 136.633931 \nL 77.960158 134.635895 \nL 77.638036 132.596662 \nL 77.57996 130.554039 \nL 77.794223 128.548594 \nL 78.28198 126.621963 \nL 79.036909 124.814969 \nL 80.0453 123.165654 \nL 81.286611 121.707459 \nL 82.734444 120.467696 \nL 84.357816 119.46645 \nL 86.122661 118.71599 \nL 87.993373 118.220766 \nL 89.934284 117.977842 \nL 91.910995 117.977806 \nL 93.891422 118.205888 \nL 95.8466 118.643262 \nL 97.751187 119.268371 \nL 99.583694 120.05815 \nL 101.326518 120.9891 \nL 102.965775 122.03817 \nL 104.49101 123.183421 \nL 105.894842 124.404491 \nL 107.172543 125.682893 \nL 108.321625 127.00213 \nL 110.232696 129.707139 \nL 111.637893 132.426168 \nL 112.559801 135.091947 \nL 113.02581 137.657271 \nL 113.062666 140.089016 \nL 112.693132 142.362801 \nL 111.934353 144.458437 \nL 110.797591 146.356083 \nL 109.289125 148.032939 \nL 107.412258 149.460276 \nL 106.336652 150.069125 \nL 105.170511 150.600809 \nL 103.915047 151.048965 \nL 102.572145 151.406449 \nL 101.144583 151.665325 \nL 99.636292 151.816887 \nL 98.052648 151.851698 \nL 96.400762 151.759716 \nL 94.689808 151.530462 \nL 92.931339 151.153291 \nL 91.139578 150.617751 \nL 89.331673 149.914047 \nL 87.527883 149.033645 \nL 85.751642 147.969991 \nL 84.029459 146.719308 \nL 82.39065 145.281524 \nL 80.866802 143.661185 \nL 79.490984 141.868329 \nL 78.296687 139.919248 \nL 77.316494 137.836969 \nL 76.580557 135.651371 \nL 76.114958 133.398864 \nL 75.940092 131.121492 \nL 76.069224 128.86551 \nL 76.50735 126.679459 \nL 77.250559 124.611883 \nL 78.28593 122.708858 \nL 79.592031 121.011626 \nL 81.139978 119.554499 \nL 82.894954 118.363298 \nL 84.818024 117.454477 \nL 86.868068 116.83491 \nL 89.003646 116.502384 \nL 91.184692 116.446607 \nL 93.373859 116.65067 \nL 95.537535 117.092632 \nL 97.646469 117.747196 \nL 99.676074 118.587286 \nL 101.606427 119.585363 \nL 103.422065 120.714549 \nL 105.111609 121.949431 \nL 106.667294 123.266614 \nL 108.084462 124.645054 \nL 109.361036 126.066188 \nL 110.497018 127.513919 \nL 111.494022 128.974508 \nL 113.083168 131.88992 \nL 114.15909 134.741772 \nL 114.756886 137.482887 \nL 114.909917 140.082357 \nL 114.646008 142.519406 \nL 113.985548 144.778327 \nL 112.941004 146.84434 \nL 111.517573 148.700073 \nL 109.714866 150.322387 \nL 108.670288 151.036472 \nL 107.529663 151.679407 \nL 106.29281 152.245373 \nL 104.959966 152.727669 \nL 103.532001 153.118637 \nL 102.010683 153.409633 \nL 100.398964 153.591001 \nL 98.70131 153.652102 \nL 96.924059 153.581399 \nL 95.075809 153.366606 \nL 93.16782 152.994952 \nL 91.214402 152.453545 \nL 89.233288 151.729874 \nL 87.245912 150.812464 \nL 85.277595 149.69171 \nL 83.357558 148.360846 \nL 81.518686 146.817072 \nL 79.797023 145.062733 \nL 78.230922 143.106497 \nL 76.859842 140.96443 \nL 75.722766 138.660778 \nL 74.856341 136.228322 \nL 74.292818 133.70816 \nL 74.057955 131.148769 \nL 74.169097 128.604355 \nL 74.633651 126.132477 \nL 75.448152 123.791171 \nL 76.598045 121.63578 \nL 78.058294 119.715833 \nL 79.794696 118.072353 \nL 81.76585 116.73582 \nL 83.925468 115.725027 \nL 86.224864 115.046896 \nL 88.615329 114.697196 \nL 91.050199 114.661944 \nL 93.486509 114.919326 \nL 95.88615 115.441821 \nL 98.216549 116.198349 \nL 100.450902 117.156206 \nL 102.568072 118.282706 \nL 104.552228 119.546464 \nL 106.392299 120.918307 \nL 108.08135 122.371838 \nL 109.61592 123.883736 \nL 110.995368 125.433804 \nL 112.221268 127.004878 \nL 113.296856 128.582614 \nL 114.226556 130.155213 \nL 115.669459 133.248677 \nL 116.594928 136.230126 \nL 117.046916 139.066124 \nL 117.063244 141.737234 \nL 116.672811 144.23188 \nL 115.89447 146.541582 \nL 114.7371 148.657117 \nL 113.200616 150.565217 \nL 112.288167 151.435463 \nL 111.277824 152.245465 \nL 110.168046 152.99104 \nL 108.957266 153.667155 \nL 107.644067 154.267832 \nL 106.227378 154.786035 \nL 104.706714 155.213583 \nL 103.08245 155.541063 \nL 101.356151 155.75777 \nL 99.530951 155.851699 \nL 97.611966 155.809564 \nL 95.606777 155.616936 \nL 93.525927 155.258432 \nL 91.383441 154.718101 \nL 89.197341 153.979918 \nL 86.990098 153.028521 \nL 84.788973 151.850135 \nL 82.626193 150.433747 \nL 80.538838 148.772487 \nL 78.568411 146.865163 \nL 76.759956 144.717873 \nL 75.160697 142.345535 \nL 73.818176 139.77315 \nL 72.77793 137.03655 \nL 72.080835 134.182427 \nL 71.760337 131.267438 \nL 71.839812 128.35625 \nL 72.330417 125.518612 \nL 73.229682 122.825593 \nL 74.521122 120.345388 \nL 76.174916 118.139111 \nL 78.149646 116.257113 \nL 80.394885 114.736254 \nL 82.854295 113.598385 \nL 85.468914 112.850194 \nL 88.180244 112.48429 \nL 90.932918 112.48121 \nL 93.676707 112.812092 \nL 96.367872 113.441568 \nL 98.969849 114.330563 \nL 101.453378 115.438805 \nL 103.796189 116.7268 \nL 105.982411 118.157388 \nL 108.001781 119.696698 \nL 109.84879 121.314719 \nL 111.521813 122.985492 \nL 113.0223 124.687049 \nL 114.354027 126.401164 \nL 115.522453 128.113014 \nL 116.534161 129.810757 \nL 117.396394 131.485132 \nL 118.702523 134.737189 \nL 119.499446 137.831959 \nL 119.839149 140.751111 \nL 119.763209 143.487512 \nL 119.301083 146.039558 \nL 118.469754 148.406983 \nL 117.274232 150.587518 \nL 115.708705 152.574033 \nL 113.758258 154.35164 \nL 112.632134 155.15457 \nL 111.401371 155.894566 \nL 110.062841 156.566105 \nL 108.613546 157.162507 \nL 107.050845 157.675786 \nL 105.372717 158.096516 \nL 103.578093 158.413704 \nL 101.667244 158.61468 \nL 99.64224 158.685026 \nL 97.50748 158.608576 \nL 95.270297 158.367494 \nL 92.941627 157.942491 \nL 90.536703 157.31322 \nL 88.075783 156.458881 \nL 85.584799 155.35911 \nL 83.095904 153.995183 \nL 80.647775 152.351558 \nL 78.285578 150.41774 \nL 76.06045 148.190429 \nL 74.028369 145.67579 \nL 72.24833 142.891634 \nL 70.779755 139.869253 \nL 69.679274 136.654481 \nL 68.996997 133.307693 \nL 68.772653 129.902381 \nL 69.032026 126.522192 \nL 69.784158 123.256499 \nL 71.01979 120.194895 \nL 72.711323 117.421148 \nL 74.814396 115.007469 \nL 77.270891 113.009807 \nL 80.012988 111.464756 \nL 82.967681 110.388475 \nL 86.061256 109.777489 \nL 89.223218 109.611136 \nL 92.389353 109.855133 \nL 95.503797 110.465621 \nL 98.520102 111.393208 \nL 101.401481 112.586583 \nL 104.120402 113.995439 \nL 106.657729 115.572629 \nL 109.001629 117.275551 \nL 111.146379 119.066895 \nL 113.091179 120.914848 \nL 114.839054 122.792961 \nL 116.395874 124.67973 \nL 117.769514 126.558075 \nL 118.969147 128.414745 \nL 120.004668 130.239731 \nL 121.623918 133.767513 \nL 122.705796 137.106445 \nL 123.320078 140.24398 \nL 123.52367 143.180683 \nL 123.358917 145.923848 \nL 122.853362 148.48316 \nL 122.020288 150.867674 \nL 120.859641 153.083468 \nL 119.359138 155.131578 \nL 117.495553 157.005744 \nL 115.236347 158.689694 \nL 112.542016 160.153582 \nL 111.018301 160.788854 \nL 109.3698 161.34938 \nL 107.591641 161.825374 \nL 105.679681 162.205136 \nL 103.630919 162.474853 \nL 101.443998 162.618391 \nL 99.119819 162.617148 \nL 96.662268 162.449974 \nL 94.07906 162.093217 \nL 91.382703 161.520955 \nL 88.591526 160.705474 \nL 85.730768 159.618087 \nL 82.833581 158.2304 \nL 79.941887 156.516063 \nL 77.106871 154.453107 \nL 74.388927 152.026806 \nL 71.85684 149.233004 \nL 69.585937 146.081657 \nL 67.655098 142.600161 \nL 66.142583 138.835985 \nL 65.12082 134.857914 \nL 64.650602 130.755301 \nL 64.77533 126.634845 \nL 65.516122 122.614866 \nL 66.868624 118.817342 \nL 68.802163 115.358773 \nL 71.261538 112.340981 \nL 74.171246 109.843339 \nL 77.441508 107.917584 \nL 80.975179 106.585772 \nL 84.674557 105.841515 \nL 88.447262 105.653879 \nL 92.210639 105.973041 \nL 95.894527 106.736665 \nL 99.44244 107.876052 \nL 102.811495 109.321487 \nL 105.971423 111.006288 \nL 108.903027 112.869617 \nL 111.596403 114.85806 \nL 114.049136 116.926267 \nL 116.2646 119.036852 \nL 118.250465 121.159839 \nL 120.017421 123.271851 \nL 121.578129 125.355163 \nL 122.946382 127.396776 \nL 124.136439 129.387553 \nL 126.038472 133.19477 \nL 127.391584 136.754094 \nL 128.289747 140.066034 \nL 128.810242 143.143652 \nL 129.012966 146.005908 \nL 128.941135 148.673673 \nL 128.622615 151.167407 \nL 128.071385 153.50578 \nL 127.28883 155.704862 \nL 126.264735 157.777452 \nL 124.977927 159.732378 \nL 123.396598 161.573466 \nL 121.478457 163.297972 \nL 119.170915 164.894106 \nL 116.411725 166.337331 \nL 113.130733 167.584917 \nL 111.271379 168.115184 \nL 109.253833 168.56828 \nL 107.069495 168.929919 \nL 104.71083 169.182792 \nL 102.17201 169.306141 \nL 99.449745 169.275359 \nL 96.544323 169.06163 \nL 93.460875 168.631733 \nL 90.210905 167.948049 \nL 86.814025 166.968953 \nL 83.299877 165.649724 \nL 79.710103 163.944207 \nL 76.100164 161.807401 \nL 72.540695 159.199168 \nL 69.118017 156.089149 \nL 65.933243 152.462775 \nL 63.099519 148.327958 \nL 60.736959 143.721721 \nL 58.965102 138.715554 \nL 57.893244 133.418021 \nL 57.609559 127.973154 \nL 58.170554 122.55359 \nL 59.592733 117.348393 \nL 61.848314 112.546759 \nL 64.866185 108.320083 \nL 68.53821 104.805552 \nL 72.729787 102.094266 \nL 77.292693 100.225892 \nL 82.077936 99.190264 \nL 86.946654 98.934753 \nL 91.777888 99.375355 \nL 96.472863 100.40902 \nL 100.956173 101.92518 \nL 105.174622 103.815137 \nL 109.094614 105.978702 \nL 112.698858 108.328148 \nL 115.982954 110.789911 \nL 118.952234 113.304592 \nL 121.619036 115.825924 \nL 124.000446 118.319112 \nL 126.116534 120.758958 \nL 127.988983 123.128058 \nL 131.091929 127.613481 \nL 133.482762 131.734189 \nL 135.319588 135.491252 \nL 136.739079 138.906444 \nL 138.329815 143.454239 \nL 141.972808 154.748589 \nL 142.768611 156.435212 \nL 143.675509 157.951275 \nL 144.730168 159.295261 \nL 145.972371 160.459856 \nL 147.446814 161.43102 \nL 149.204749 162.186569 \nL 151.305394 162.69417 \nL 153.816912 162.908608 \nL 156.816537 162.768313 \nL 160.389088 162.191197 \nL 164.622578 161.070325 \nL 167.013389 160.264906 \nL 169.59882 159.270652 \nL 172.38528 158.066374 \nL 175.375978 156.629625 \nL 178.569663 154.937341 \nL 181.959051 152.966811 \nL 185.529003 150.697129 \nL 189.254402 148.111179 \nL 193.0979 145.198278 \nL 197.007601 141.957481 \nL 200.915029 138.401513 \nL 204.733717 134.561058 \nL 208.358938 130.488999 \nL 211.669201 126.263892 \nL 214.530123 121.991625 \nL 216.801151 117.804154 \nL 218.345254 113.854174 \nL 219.041113 110.305077 \nL 218.796553 107.316435 \nL 217.561227 105.026514 \nL 215.336065 103.534654 \nL 212.177151 102.88725 \nL 208.192645 103.070704 \nL 203.532764 104.013509 \nL 198.374604 105.597172 \nL 192.904684 107.673537 \nL 187.302447 110.084446 \nL 181.727254 112.67968 \nL 171.151001 117.935808 \nL 157.776727 124.918765 \nL 147.821247 130.385004 \nL 142.876681 133.36106 \nL 139.022817 135.993295 \nL 136.025615 138.414945 \nL 133.672335 140.716389 \nL 131.780028 142.95014 \nL 130.19604 145.140996 \nL 127.472539 149.411237 \nL 125.451886 152.49007 \nL 123.974302 154.462165 \nL 122.316514 156.353325 \nL 120.416724 158.146194 \nL 118.213268 159.818335 \nL 115.643331 161.338955 \nL 112.64315 162.664354 \nL 110.962058 163.235214 \nL 109.150399 163.731925 \nL 107.201529 164.14248 \nL 105.109851 164.452684 \nL 102.871292 164.645891 \nL 100.483889 164.702742 \nL 97.94853 164.60097 \nL 95.269838 164.315316 \nL 92.457201 163.817579 \nL 89.52595 163.07694 \nL 86.498637 162.060625 \nL 83.40631 160.735012 \nL 80.289723 159.067315 \nL 77.200254 157.027953 \nL 74.200321 154.593629 \nL 71.362998 151.751078 \nL 68.770557 148.501317 \nL 66.511641 144.863966 \nL 64.676922 140.881087 \nL 63.353361 136.619712 \nL 62.617368 132.172223 \nL 62.527628 127.653857 \nL 63.118553 123.196925 \nL 64.395485 118.942017 \nL 66.332592 115.027086 \nL 68.874053 111.575925 \nL 71.938447 108.687897 \nL 75.425675 106.430553 \nL 79.225308 104.836162 \nL 83.225022 103.902455 \nL 87.318024 103.596947 \nL 91.408662 103.863684 \nL 95.415955 104.631078 \nL 99.275123 105.819606 \nL 102.937486 107.348398 \nL 106.369229 109.140328 \nL 109.549477 111.125399 \nL 112.468105 113.242654 \nL 115.123538 115.440843 \nL 117.520724 117.67823 \nL 119.669364 119.921819 \nL 121.582441 122.14629 \nL 123.275018 124.332834 \nL 124.763296 126.468004 \nL 127.193273 130.551016 \nL 129.001408 134.358241 \nL 130.304507 137.88514 \nL 131.202039 141.144773 \nL 131.774722 144.158631 \nL 132.085199 146.951269 \nL 132.179717 149.547363 \nL 132.090141 151.970137 \nL 131.835903 154.240703 \nL 131.425655 156.377792 \nL 130.85851 158.397747 \nL 130.12485 160.314587 \nL 129.206677 162.139979 \nL 128.077557 163.883043 \nL 126.702195 165.549829 \nL 125.035717 167.142306 \nL 123.022787 168.65661 \nL 120.596784 170.080212 \nL 117.679449 171.387476 \nL 114.18174 172.532991 \nL 112.185214 173.023171 \nL 110.007187 173.441819 \nL 107.635743 173.772728 \nL 105.059914 173.995922 \nL 102.270438 174.087022 \nL 99.260777 174.016605 \nL 96.028429 173.749591 \nL 92.576574 173.244778 \nL 88.916119 172.454629 \nL 85.068113 171.325538 \nL 81.066468 169.7988 \nL 76.960881 167.812633 \nL 72.81961 165.305595 \nL 68.731707 162.221722 \nL 64.808009 158.517591 \nL 61.18011 154.171201 \nL 57.996372 149.192085 \nL 55.414338 143.631326 \nL 53.589236 137.589474 \nL 52.659239 131.219837 \nL 52.729188 124.724656 \nL 53.855534 118.342622 \nL 56.035778 112.32823 \nL 59.205213 106.925653 \nL 63.242271 102.342059 \nL 67.981742 98.7258 \nL 73.233035 96.153923 \nL 78.799739 94.630861 \nL 84.496862 94.097297 \nL 90.163338 94.445986 \nL 95.66895 95.540337 \nL 100.916218 97.232147 \nL 105.838504 99.375977 \nL 110.395891 101.83914 \nL 114.570117 104.507368 \nL 118.359506 107.286906 \nL 121.77443 110.104103 \nL 124.833533 112.903418 \nL 127.560766 115.644737 \nL 129.983129 118.300473 \nL 132.129013 120.85283 \nL 135.705172 125.611346 \nL 138.507795 129.893348 \nL 140.732805 133.716467 \nL 144.095852 140.132676 \nL 146.16408 144.015385 \nL 147.510245 146.216209 \nL 148.920905 148.127773 \nL 150.463472 149.757379 \nL 152.200222 151.102233 \nL 154.19109 152.14866 \nL 156.495506 152.871041 \nL 157.783913 153.099119 \nL 159.173018 153.230486 \nL 160.670115 153.257975 \nL 162.282248 153.173431 \nL 164.016035 152.967696 \nL 165.877425 152.63063 \nL 167.871384 152.151176 \nL 170.001481 151.51748 \nL 172.269392 150.717109 \nL 174.674276 149.737375 \nL 177.212044 148.565806 \nL 179.874503 147.190805 \nL 182.648399 145.602512 \nL 185.514379 143.793923 \nL 188.445928 141.762266 \nL 191.408378 139.510616 \nL 194.358081 137.049713 \nL 197.241949 134.399848 \nL 199.997544 131.59264 \nL 202.553925 128.672433 \nL 204.833492 125.696951 \nL 206.754973 122.736829 \nL 208.237619 119.873633 \nL 209.206441 117.196143 \nL 209.598138 114.79488 \nL 209.367117 112.755198 \nL 208.490754 111.149738 \nL 206.973063 110.031285 \nL 204.846025 109.427227 \nL 202.168134 109.336784 \nL 199.020258 109.731494 \nL 195.499324 110.559087 \nL 191.710822 111.749887 \nL 187.761171 113.224643 \nL 183.750984 114.90241 \nL 175.893311 118.573433 \nL 168.676988 122.290189 \nL 162.401063 125.784436 \nL 157.167582 128.9615 \nL 152.947618 131.833482 \nL 149.640608 134.458489 \nL 147.11677 136.901401 \nL 145.243312 139.214961 \nL 143.898666 141.434289 \nL 142.978972 143.578307 \nL 142.399963 145.653692 \nL 142.096365 147.659019 \nL 142.020128 149.588141 \nL 142.138278 151.432453 \nL 142.430856 153.182223 \nL 142.889165 154.827123 \nL 143.514448 156.35617 \nL 144.317019 157.757246 \nL 145.315828 159.016236 \nL 146.538429 160.115849 \nL 148.021257 161.034081 \nL 149.810114 161.742238 \nL 151.96068 162.202445 \nL 154.538731 162.364524 \nL 157.619554 162.162215 \nL 161.285671 161.508902 \nL 165.621434 160.293412 \nL 168.064809 159.432675 \nL 170.702286 158.377393 \nL 173.538758 157.106332 \nL 176.575499 155.597308 \nL 179.808825 153.827927 \nL 183.228468 151.776713 \nL 186.815691 149.424714 \nL 190.541187 146.757674 \nL 194.362858 143.768839 \nL 198.223671 140.462394 \nL 202.049912 136.857398 \nL 205.750209 132.991954 \nL 209.215922 128.927042 \nL 212.323414 124.749274 \nL 214.938825 120.571502 \nL 216.925642 116.53019 \nL 218.155018 112.778628 \nL 218.518098 109.475599 \nL 217.938875 106.770223 \nL 216.385499 104.784808 \nL 213.877626 103.598883 \nL 210.487876 103.237811 \nL 206.336479 103.668963 \nL 201.579736 104.806756 \nL 196.394427 106.525458 \nL 190.961068 108.676914 \nL 185.448963 111.10914 \nL 174.747992 116.279578 \nL 160.834894 123.474712 \nL 150.254132 129.230255 \nL 144.944336 132.355876 \nL 140.791873 135.093048 \nL 137.566245 137.58321 \nL 135.050915 139.928397 \nL 133.056286 142.191626 \nL 131.422635 144.40557 \nL 129.367021 147.657361 \nL 126.182906 152.861773 \nL 124.772121 154.840436 \nL 123.186837 156.742069 \nL 121.36693 158.551673 \nL 119.251714 160.24984 \nL 116.77843 161.809659 \nL 113.882047 163.192402 \nL 110.496966 164.341726 \nL 108.601575 164.804631 \nL 106.561687 165.176227 \nL 104.37175 165.440957 \nL 102.027943 165.580545 \nL 99.528867 165.573736 \nL 96.876374 165.396093 \nL 94.076575 165.019935 \nL 91.141001 164.414457 \nL 88.087915 163.546175 \nL 84.943713 162.379746 \nL 81.744313 160.879366 \nL 78.536397 159.010811 \nL 75.378259 156.744265 \nL 72.340016 154.05794 \nL 69.502833 150.942387 \nL 66.95681 147.405229 \nL 64.797333 143.475789 \nL 63.119721 139.208847 \nL 62.012445 134.686606 \nL 61.549405 130.017923 \nL 61.782279 125.334092 \nL 62.734066 120.781042 \nL 64.395077 116.508506 \nL 66.722294 112.657567 \nL 69.642361 109.348453 \nL 73.057878 106.670638 \nL 76.855903 104.676819 \nL 80.91728 103.381521 \nL 85.125367 102.764077 \nL 89.373111 102.774975 \nL 93.567897 103.344096 \nL 97.63408 104.389327 \nL 101.513548 105.824352 \nL 105.164771 107.564965 \nL 108.56094 109.533472 \nL 111.687634 111.661364 \nL 114.540401 113.890503 \nL 117.122473 116.173194 \nL 119.442753 118.471504 \nL 121.514113 120.756181 \nL 123.352012 123.005391 \nL 124.973402 125.203426 \nL 126.39589 127.339514 \nL 128.714203 131.40132 \nL 130.44073 135.167428 \nL 131.694018 138.642214 \nL 132.573745 141.844235 \nL 133.160308 144.798195 \nL 133.516169 147.530384 \nL 133.715672 151.268018 \nL 133.600609 154.640591 \nL 133.22073 157.713016 \nL 132.58426 160.538876 \nL 132.005568 162.30793 \nL 131.285652 163.998258 \nL 130.401876 165.61944 \nL 129.324393 167.179419 \nL 128.015261 168.684025 \nL 126.427279 170.136058 \nL 124.502629 171.533668 \nL 122.171469 172.867705 \nL 119.350825 174.117493 \nL 115.944404 175.244317 \nL 111.844484 176.181611 \nL 109.499037 176.547379 \nL 106.938007 176.820752 \nL 104.148665 176.978387 \nL 101.120338 176.991596 \nL 97.845652 176.825531 \nL 94.322193 176.438414 \nL 90.554583 175.780943 \nL 86.557076 174.796068 \nL 82.356621 173.419394 \nL 77.996324 171.580593 \nL 73.539099 169.206243 \nL 69.071025 166.224603 \nL 64.703807 162.572726 \nL 60.575343 158.206138 \nL 56.847274 153.110684 \nL 53.698365 147.31554 \nL 51.312924 140.90517 \nL 49.864385 134.027189 \nL 49.495526 126.892576 \nL 50.29838 119.765328 \nL 52.298062 112.94074 \nL 55.444702 106.714612 \nL 59.616269 101.348942 \nL 64.63226 97.041463 \nL 70.275311 93.905837 \nL 76.315847 91.966144 \nL 82.53468 91.165387 \nL 88.739875 91.38415 \nL 94.776362 92.463932 \nL 100.52877 94.229968 \nL 105.919211 96.509912 \nL 110.902037 99.146787 \nL 115.45741 102.006284 \nL 119.584912 104.979344 \nL 123.297936 107.981483 \nL 126.619099 110.950147 \nL 129.576714 113.841194 \nL 132.20219 116.625197 \nL 134.528166 119.284043 \nL 138.411003 124.193249 \nL 141.471674 128.551849 \nL 144.990968 134.125932 \nL 148.58344 139.996905 \nL 150.20766 142.353249 \nL 151.854259 144.359766 \nL 153.606415 146.029706 \nL 155.536645 147.36449 \nL 157.709864 148.353281 \nL 158.906263 148.711082 \nL 160.18513 148.972548 \nL 161.552946 149.132699 \nL 163.015722 149.185733 \nL 164.578877 149.125063 \nL 166.247056 148.943349 \nL 168.023903 148.632592 \nL 169.91177 148.184253 \nL 171.911334 147.589458 \nL 174.021177 146.839259 \nL 176.237252 145.925007 \nL 178.552301 144.838847 \nL 180.955198 143.574354 \nL 183.430256 142.127295 \nL 185.956538 140.496588 \nL 188.507216 138.685367 \nL 191.04905 136.702172 \nL 193.542125 134.562173 \nL 195.939901 132.288306 \nL 198.189772 129.912192 \nL 200.234214 127.474621 \nL 202.012628 125.025369 \nL 203.463939 122.622185 \nL 204.529861 120.328744 \nL 205.158695 118.2115 \nL 205.309305 116.335657 \nL 204.954875 114.760473 \nL 204.085957 113.534496 \nL 202.712292 112.691355 \nL 200.863091 112.246825 \nL 198.585594 112.197569 \nL 195.942026 112.521959 \nL 193.005363 113.182723 \nL 189.854395 114.131085 \nL 186.56879 115.31164 \nL 183.224642 116.667264 \nL 176.627354 119.691472 \nL 170.494802 122.848581 \nL 165.090275 125.91518 \nL 160.52929 128.788609 \nL 156.82125 131.448337 \nL 153.911361 133.915767 \nL 151.713641 136.22511 \nL 150.133361 138.407075 \nL 149.080681 140.482168 \nL 148.477963 142.459639 \nL 148.26304 144.339068 \nL 148.390036 146.112536 \nL 148.828901 147.766539 \nL 149.564359 149.28316 \nL 150.594673 150.640453 \nL 151.930445 151.812083 \nL 153.593454 152.766317 \nL 155.615432 153.464478 \nL 158.036477 153.858966 \nL 160.902663 153.891063 \nL 164.262087 153.488918 \nL 168.158331 152.566451 \nL 170.317656 151.879517 \nL 172.619906 151.024545 \nL 175.063637 149.98805 \nL 177.644056 148.756864 \nL 180.352111 147.31883 \nL 183.173471 145.663717 \nL 186.087443 143.784404 \nL 189.065852 141.678324 \nL 192.072002 139.349182 \nL 195.059862 136.808859 \nL 197.973606 134.079385 \nL 200.747797 131.194765 \nL 203.308359 128.202368 \nL 205.574649 125.163494 \nL 207.462738 122.152684 \nL 208.889934 119.255442 \nL 209.780381 116.564033 \nL 210.071318 114.171529 \nL 209.719275 112.164412 \nL 208.705383 110.614614 \nL 207.038834 109.572261 \nL 204.757764 109.060301 \nL 201.927228 109.072146 \nL 198.634364 109.572928 \nL 194.981484 110.504113 \nL 191.078113 111.79066 \nL 187.033127 113.349361 \nL 182.948019 115.096937 \nL 174.998744 118.86352 \nL 167.754994 122.625328 \nL 161.495082 126.130972 \nL 156.301552 129.302322 \nL 152.130483 132.163223 \nL 148.871162 134.778347 \nL 146.387581 137.215327 \nL 144.543458 139.52746 \nL 143.21545 141.749465 \nL 142.298877 143.899656 \nL 141.709073 145.984267 \nL 141.380431 148.001781 \nL 141.264398 149.946305 \nL 141.327168 151.809868 \nL 141.547506 153.583733 \nL 141.914915 155.25896 \nL 142.428234 156.826392 \nL 143.094706 158.276281 \nL 143.929484 159.597581 \nL 144.955551 160.77697 \nL 146.203993 161.79761 \nL 147.714565 162.637525 \nL 149.53643 163.267555 \nL 151.728898 163.648742 \nL 154.361853 163.729005 \nL 157.515319 163.439079 \nL 161.277216 162.687859 \nL 165.737782 161.357727 \nL 168.256269 160.430737 \nL 170.978189 159.301511 \nL 173.908895 157.94732 \nL 177.049872 156.34437 \nL 180.397265 154.46861 \nL 183.940109 152.296963 \nL 187.658248 149.809104 \nL 191.520025 146.989868 \nL 195.47983 143.832373 \nL 199.475767 140.341853 \nL 203.427739 136.54004 \nL 207.236468 132.469792 \nL 210.784057 128.19928 \nL 213.936724 123.824876 \nL 216.550397 119.471495 \nL 218.479455 115.289171 \nL 219.588484 111.44478 \nL 219.7661 108.108744 \nL 218.939032 105.437583 \nL 217.084004 103.554798 \nL 214.23471 102.533782 \nL 210.481818 102.386691 \nL 205.965323 103.062464 \nL 200.8604 104.454712 \nL 195.359468 106.417894 \nL 189.653897 108.787797 \nL 183.918557 111.401852 \nL 172.917028 116.812193 \nL 158.841009 124.10887 \nL 148.283664 129.805552 \nL 143.023082 132.868077 \nL 138.917267 135.545108 \nL 135.721794 137.984029 \nL 133.212338 140.286976 \nL 131.195051 142.514581 \nL 129.507762 144.696455 \nL 126.61226 148.947599 \nL 124.47032 152.010318 \nL 122.907747 153.968038 \nL 121.158352 155.839057 \nL 119.158536 157.602776 \nL 116.845898 159.232647 \nL 114.158277 160.692678 \nL 111.034549 161.932647 \nL 109.291074 162.449043 \nL 107.417939 162.88198 \nL 105.409864 163.218261 \nL 103.262987 163.442469 \nL 100.975389 163.536747 \nL 98.547755 163.480628 \nL 95.984155 163.250939 \nL 93.292969 162.821879 \nL 90.487926 162.165259 \nL 87.589235 161.251085 \nL 84.624739 160.048515 \nL 81.631009 158.527294 \nL 78.65419 156.659787 \nL 75.75046 154.423643 \nL 72.985807 151.805029 \nL 70.434913 148.802352 \nL 68.178868 145.430121 \nL 66.301591 141.722481 \nL 64.884953 137.73578 \nL 64.002866 133.54941 \nL 63.714884 129.264285 \nL 64.060106 124.998491 \nL 65.052335 120.880217 \nL 66.677359 117.038477 \nL 68.893008 113.592921 \nL 71.632097 110.644129 \nL 74.807874 108.266022 \nL 78.321083 106.501388 \nL 82.0676 105.361098 \nL 85.945538 104.826725 \nL 89.861011 104.855742 \nL 93.732181 105.388208 \nL 97.491429 106.353759 \nL 101.085975 107.678012 \nL 104.477235 109.287754 \nL 107.6394 111.114762 \nL 110.557588 113.09816 \nL 113.225856 115.185584 \nL 115.645285 117.333418 \nL 117.822249 119.506397 \nL 119.766925 121.676787 \nL 121.492059 123.823416 \nL 123.011963 125.930624 \nL 124.34173 127.987267 \nL 126.491667 131.921684 \nL 128.058863 135.597025 \nL 129.147568 139.011157 \nL 129.845128 142.176897 \nL 130.220931 145.114234 \nL 130.327065 147.845713 \nL 130.199786 150.393831 \nL 129.861197 152.779602 \nL 129.320817 155.021804 \nL 128.576825 157.136566 \nL 127.61691 159.137031 \nL 126.418706 161.032934 \nL 124.94987 162.82986 \nL 123.167879 164.527995 \nL 121.019757 166.120077 \nL 118.442013 167.588184 \nL 115.361345 168.898885 \nL 111.696991 169.99617 \nL 109.61991 170.438736 \nL 107.366231 170.79157 \nL 104.927097 171.036411 \nL 102.295347 171.151216 \nL 99.466414 171.109652 \nL 96.439453 170.88067 \nL 93.218751 170.428182 \nL 89.815428 169.71101 \nL 86.24941 168.683209 \nL 82.551641 167.295 \nL 78.76638 165.494535 \nL 74.953372 163.230762 \nL 71.18953 160.457598 \nL 67.569626 157.139571 \nL 64.205422 153.258797 \nL 61.222553 148.822854 \nL 58.754659 143.872607 \nL 56.934576 138.488554 \nL 55.882963 132.793832 \nL 55.69555 126.95208 \nL 56.430901 121.158965 \nL 58.101069 115.627269 \nL 60.667312 110.56732 \nL 64.042225 106.16587 \nL 68.098161 102.567428 \nL 72.680369 99.861618 \nL 77.622301 98.078669 \nL 82.760286 97.193105 \nL 87.945352 97.133905 \nL 93.051041 97.798279 \nL 97.977114 99.06615 \nL 102.649781 100.813006 \nL 107.019536 102.919838 \nL 111.057629 105.279688 \nL 114.752067 107.801119 \nL 118.103713 110.409262 \nL 121.122815 113.045136 \nL 123.826132 115.663995 \nL 126.23462 118.233175 \nL 128.371671 120.729885 \nL 130.261791 123.139127 \nL 133.399328 127.663533 \nL 135.835536 131.780446 \nL 137.739132 135.501968 \nL 139.905634 140.407808 \nL 143.552939 149.259767 \nL 144.568503 151.233229 \nL 145.676154 152.985525 \nL 146.925104 154.519485 \nL 148.364393 155.830275 \nL 150.04523 156.90454 \nL 152.022844 157.719089 \nL 154.357741 158.239057 \nL 157.116044 158.41554 \nL 160.368394 158.182776 \nL 164.186466 157.455326 \nL 166.328636 156.873506 \nL 168.635647 156.126199 \nL 171.112524 155.196823 \nL 173.761797 154.067886 \nL 176.582577 152.721454 \nL 179.569434 151.139846 \nL 182.71108 149.306643 \nL 185.988878 147.208055 \nL 189.375219 144.834715 \nL 192.831871 142.183927 \nL 196.308458 139.262308 \nL 199.741284 136.088771 \nL 203.052847 132.697533 \nL 206.152388 129.140794 \nL 208.937885 125.490534 \nL 211.299865 121.838688 \nL 213.127218 118.294995 \nL 214.314926 114.981922 \nL 214.7732 112.02647 \nL 214.436998 109.549278 \nL 213.274573 107.652319 \nL 211.29339 106.407119 \nL 208.542093 105.84577 \nL 205.107715 105.956851 \nL 201.108357 106.687277 \nL 196.682484 107.949896 \nL 191.976688 109.63519 \nL 187.133937 111.624609 \nL 182.28398 113.803071 \nL 172.979572 118.338834 \nL 164.668318 122.668487 \nL 157.6201 126.534219 \nL 151.863359 129.905633 \nL 147.287372 132.866463 \nL 143.719218 135.531429 \nL 140.97125 138.00237 \nL 138.8663 140.352902 \nL 137.24882 142.628491 \nL 135.988018 144.852624 \nL 134.976768 147.034098 \nL 133.743152 150.225799 \nL 131.1399 157.223486 \nL 129.778059 160.002567 \nL 128.689586 161.778586 \nL 127.407889 163.492428 \nL 125.885818 165.14204 \nL 124.069418 166.722336 \nL 121.896309 168.222694 \nL 119.294519 169.623336 \nL 116.182209 170.890002 \nL 112.469141 171.966257 \nL 110.357884 172.406695 \nL 108.061394 172.762678 \nL 105.569056 173.015496 \nL 102.871808 173.142375 \nL 99.963063 173.115876 \nL 96.839891 172.903335 \nL 93.504529 172.466401 \nL 89.966227 171.760813 \nL 86.243444 170.736584 \nL 82.366352 169.338788 \nL 78.379526 167.509278 \nL 74.344577 165.189613 \nL 70.34234 162.325537 \nL 66.474066 158.873173 \nL 62.860887 154.806961 \nL 59.640773 150.128822 \nL 56.962237 144.87759 \nL 54.974514 139.136957 \nL 53.814494 133.039761 \nL 53.591792 126.766264 \nL 54.374172 120.534773 \nL 56.176306 114.584425 \nL 58.95456 109.152118 \nL 62.60953 104.447435 \nL 66.996178 100.630583 \nL 71.939585 97.797765 \nL 77.253082 95.976484 \nL 82.7553 95.130806 \nL 88.283525 95.17407 \nL 93.702085 95.985593 \nL 98.905795 97.427691 \nL 103.819475 99.360366 \nL 108.394834 101.652212 \nL 112.606037 104.187223 \nL 116.444932 106.868042 \nL 119.91659 109.616491 \nL 123.035462 112.372256 \nL 125.822268 115.090676 \nL 128.301578 117.740074 \nL 130.500008 120.299155 \nL 134.163357 125.099255 \nL 137.024854 129.447219 \nL 139.278042 133.350694 \nL 141.876849 138.441206 \nL 145.180544 145.187942 \nL 146.422233 147.36509 \nL 147.729883 149.272288 \nL 149.166117 150.916548 \nL 150.789662 152.295569 \nL 152.658124 153.396942 \nL 154.829977 154.197005 \nL 157.365565 154.659347 \nL 158.789071 154.74857 \nL 160.326716 154.733022 \nL 161.986068 154.603778 \nL 163.77433 154.350816 \nL 165.698081 153.96303 \nL 167.762924 153.428274 \nL 169.973057 152.733487 \nL 172.330709 151.864903 \nL 174.835462 150.808392 \nL 177.483436 149.549967 \nL 180.266333 148.076494 \nL 183.170351 146.376645 \nL 186.175009 144.442156 \nL 189.251926 142.269365 \nL 192.363667 139.861055 \nL 195.462776 137.22855 \nL 198.491219 134.393882 \nL 201.380454 131.391875 \nL 204.052379 128.271754 \nL 206.421468 125.097919 \nL 208.398229 121.94934 \nL 209.894075 118.917189 \nL 210.82742 116.100374 \nL 211.130537 113.598991 \nL 210.756426 111.506206 \nL 209.684683 109.899409 \nL 207.925363 108.83212 \nL 205.519942 108.32804 \nL 202.539006 108.378502 \nL 199.076845 108.943984 \nL 195.243713 109.959418 \nL 191.157019 111.342301 \nL 186.932707 113.00202 \nL 182.677983 114.848802 \nL 174.433384 118.78989 \nL 166.962334 122.679797 \nL 160.539073 126.267559 \nL 155.23277 129.486323 \nL 150.983817 132.373389 \nL 147.667167 135.004494 \nL 145.135056 137.454791 \nL 143.242022 139.78206 \nL 141.857606 142.02344 \nL 140.871453 144.19853 \nL 140.194094 146.314389 \nL 139.755489 148.370308 \nL 139.433231 151.330759 \nL 139.41108 154.123495 \nL 139.622588 156.727559 \nL 140.042215 159.125296 \nL 140.676516 161.301088 \nL 141.234533 162.620131 \nL 141.919635 163.826834 \nL 142.754527 164.912959 \nL 143.768343 165.867355 \nL 144.99757 166.674731 \nL 146.487208 167.31406 \nL 148.292094 167.756463 \nL 150.478254 167.962409 \nL 153.124008 167.87802 \nL 156.320292 167.430333 \nL 160.169231 166.521552 \nL 164.779278 165.02273 \nL 167.402793 164.001859 \nL 170.254091 162.768436 \nL 173.341846 161.295926 \nL 176.670875 159.555974 \nL 180.240461 157.519195 \nL 184.042269 155.156452 \nL 188.057839 152.440802 \nL 192.255696 149.350259 \nL 196.588197 145.871508 \nL 200.988354 142.004626 \nL 205.367024 137.768697 \nL 209.611118 133.207982 \nL 213.583597 128.397846 \nL 217.126229 123.449243 \nL 220.066061 118.510121 \nL 222.226181 113.761854 \nL 223.440759 109.409074 \nL 223.573155 105.662301 \nL 222.534657 102.714611 \nL 220.300303 100.715673 \nL 216.917833 99.748726 \nL 212.506855 99.816282 \nL 207.247428 100.83902 \nL 201.359939 102.668778 \nL 195.080615 105.112395 \nL 188.637731 107.960333 \nL 182.232784 111.013371 \nL 170.146925 117.098346 \nL 141.111688 132.098673 \nL 136.304385 134.817748 \nL 132.555902 137.213995 \nL 129.597834 139.428459 \nL 127.199194 141.545538 \nL 125.167642 143.606682 \nL 118.915849 150.418143 \nL 116.948394 152.179399 \nL 114.756385 153.806654 \nL 112.277623 155.260355 \nL 109.458186 156.490532 \nL 106.254288 157.43294 \nL 104.498376 157.771185 \nL 102.63713 158.004738 \nL 100.670691 158.119694 \nL 98.601443 158.100601 \nL 96.434522 157.930496 \nL 94.178395 157.591061 \nL 91.845486 157.062904 \nL 89.452818 156.326052 \nL 87.02265 155.360677 \nL 84.582999 154.148088 \nL 82.168027 152.672047 \nL 79.818127 150.920384 \nL 77.579626 148.886902 \nL 75.503963 146.573448 \nL 73.646265 143.991996 \nL 72.063244 141.166531 \nL 70.810418 138.134382 \nL 69.938825 134.946697 \nL 69.491434 131.667751 \nL 69.499623 128.372867 \nL 69.980179 125.144921 \nL 70.933207 122.069676 \nL 72.341367 119.230301 \nL 74.170558 116.70183 \nL 76.372044 114.54619 \nL 78.885752 112.808504 \nL 81.644316 111.515 \nL 84.577323 110.672833 \nL 87.615323 110.27153 \nL 90.693169 110.285766 \nL 93.752514 110.678919 \nL 96.743374 111.406883 \nL 99.624802 112.421701 \nL 102.364881 113.674701 \nL 104.940177 115.118957 \nL 107.33484 116.711025 \nL 109.53954 118.412011 \nL 111.550353 120.188099 \nL 113.367665 122.010617 \nL 114.99518 123.855819 \nL 116.439039 125.704468 \nL 117.707063 127.541319 \nL 118.808133 129.354576 \nL 119.751674 131.135338 \nL 121.204234 134.575327 \nL 122.13769 137.830342 \nL 122.615777 140.889331 \nL 122.689455 143.75272 \nL 122.395486 146.426578 \nL 121.756318 148.918577 \nL 120.780679 151.235037 \nL 119.464553 153.378533 \nL 117.792414 155.34559 \nL 115.738776 157.124144 \nL 113.270314 158.690385 \nL 111.868716 159.382271 \nL 110.349045 160.004756 \nL 108.706647 160.54961 \nL 106.937345 161.006949 \nL 105.037788 161.365035 \nL 103.005856 161.610081 \nL 100.841165 161.726098 \nL 98.545681 161.694773 \nL 96.124425 161.495457 \nL 93.586288 161.10525 \nL 90.944949 160.499302 \nL 88.219834 159.651346 \nL 85.437095 158.534599 \nL 82.630506 157.123045 \nL 79.842137 155.393195 \nL 77.122695 153.32638 \nL 74.531274 150.911492 \nL 72.134358 148.148088 \nL 70.003877 145.049583 \nL 68.214198 141.646179 \nL 66.838055 137.986986 \nL 65.941646 134.140774 \nL 65.579298 130.194834 \nL 65.788293 126.251582 \nL 66.584641 122.422921 \nL 67.960504 118.822782 \nL 69.883773 115.558682 \nL 72.300033 112.723522 \nL 75.136645 110.388799 \nL 78.30837 108.600152 \nL 81.723695 107.375883 \nL 85.290994 106.70828 \nL 88.923811 106.567326 \nL 92.544805 106.905875 \nL 96.088233 107.665466 \nL 99.501006 108.781889 \nL 102.742623 110.190005 \nL 105.784282 111.827416 \nL 108.607494 113.637062 \nL 111.202465 115.56865 \nL 113.56644 117.579292 \nL 115.702146 119.633438 \nL 117.616403 121.702405 \nL 119.318939 123.763654 \nL 120.821397 125.799951 \nL 122.136542 127.798523 \nL 123.27763 129.750254 \nL 125.090313 133.490835 \nL 126.359678 136.997225 \nL 127.173423 140.267644 \nL 127.603308 143.312791 \nL 127.704268 146.149374 \nL 127.514896 148.796095 \nL 127.058564 151.271251 \nL 126.344685 153.59118 \nL 125.369863 155.769172 \nL 124.118799 157.814494 \nL 122.564949 159.731215 \nL 120.671034 161.516543 \nL 118.389619 163.158398 \nL 115.664176 164.631818 \nL 112.431261 165.893807 \nL 110.603791 166.425442 \nL 108.62488 166.876228 \nL 106.48721 167.232201 \nL 104.184624 167.476573 \nL 101.71276 167.589375 \nL 99.069845 167.547125 \nL 96.257664 167.322576 \nL 93.28275 166.884608 \nL 90.157763 166.19834 \nL 86.903053 165.225616 \nL 83.548343 163.925975 \nL 80.134407 162.258279 \nL 76.714561 160.183203 \nL 73.355685 157.666647 \nL 70.138419 154.684192 \nL 67.156132 151.226353 \nL 64.512194 147.304372 \nL 62.315295 142.955759 \nL 60.672714 138.248597 \nL 59.681846 133.283416 \nL 59.420815 128.191416 \nL 59.939492 123.128292 \nL 61.252425 118.26364 \nL 63.335216 113.767003 \nL 66.125264 109.79256 \nL 69.527014 106.465063 \nL 73.420808 103.869481 \nL 77.673822 102.04601 \nL 82.151166 100.990875 \nL 86.725539 100.662121 \nL 91.284372 100.988756 \nL 95.734053 101.881187 \nL 100.00148 103.241309 \nL 104.033492 104.970947 \nL 107.794909 106.978066 \nL 111.265824 109.180753 \nL 114.438675 111.509126 \nL 117.315442 113.905764 \nL 119.905141 116.325066 \nL 122.221732 118.731983 \nL 124.282412 121.100492 \nL 126.106283 123.412022 \nL 127.713328 125.653967 \nL 130.356934 129.900849 \nL 132.366743 133.81495 \nL 133.879944 137.402197 \nL 135.013246 140.684308 \nL 136.205414 145.096933 \nL 137.000278 148.982241 \nL 138.027958 155.494307 \nL 138.766022 159.912708 \nL 139.490314 162.905096 \nL 140.197739 164.858775 \nL 141.117004 166.565542 \nL 141.886949 167.560696 \nL 142.816991 168.433096 \nL 143.943614 169.170611 \nL 145.31111 169.755496 \nL 146.973203 170.162562 \nL 148.994754 170.356651 \nL 151.453368 170.28918 \nL 154.44051 169.893543 \nL 158.061347 169.079233 \nL 162.431909 167.724849 \nL 167.67109 165.670939 \nL 170.6504 164.320148 \nL 173.883464 162.715336 \nL 177.375825 160.825148 \nL 181.126898 158.616989 \nL 185.127595 156.058492 \nL 189.357449 153.119748 \nL 193.781298 149.776513 \nL 198.345634 146.014554 \nL 202.974955 141.835178 \nL 207.568592 137.261836 \nL 211.998753 132.347314 \nL 216.110827 127.180534 \nL 219.727038 121.891454 \nL 222.654618 116.651987 \nL 224.699123 111.670627 \nL 225.68266 107.178976 \nL 225.46526 103.409727 \nL 223.966201 100.568145 \nL 221.180662 98.801936 \nL 217.187154 98.176385 \nL 212.142732 98.661937 \nL 206.265986 100.138429 \nL 199.811184 102.41548 \nL 193.039409 105.263605 \nL 186.192743 108.447917 \nL 173.04657 115.01953 \nL 147.702398 127.907168 \nL 137.98896 132.805506 \nL 133.262751 135.369174 \nL 129.569244 137.625141 \nL 126.630576 139.712542 \nL 124.212255 141.709785 \nL 121.148885 144.603841 \nL 117.372732 148.256916 \nL 115.376524 149.947069 \nL 113.199948 151.502561 \nL 110.779263 152.881309 \nL 108.06314 154.031949 \nL 105.013982 154.891093 \nL 103.357455 155.187531 \nL 101.611977 155.380421 \nL 99.779035 155.457287 \nL 97.862311 155.404575 \nL 95.868095 155.207755 \nL 93.80572 154.85152 \nL 91.688035 154.320128 \nL 89.531845 153.597888 \nL 87.358329 152.669833 \nL 85.193326 151.522613 \nL 83.067477 150.145577 \nL 81.016117 148.532076 \nL 79.078835 146.680908 \nL 77.298633 144.597818 \nL 75.720652 142.296942 \nL 74.390405 139.801976 \nL 73.351595 137.146901 \nL 72.643624 134.376025 \nL 72.298962 131.543165 \nL 72.340659 128.709872 \nL 72.780272 125.942717 \nL 73.616483 123.309798 \nL 74.834638 120.876824 \nL 76.407303 118.703139 \nL 78.2958 116.838187 \nL 80.452571 115.318851 \nL 82.824049 114.16788 \nL 85.353749 113.393614 \nL 87.985231 112.99082 \nL 90.664665 112.942492 \nL 93.342843 113.222288 \nL 95.976544 113.797229 \nL 98.529302 114.630374 \nL 100.971599 115.683213 \nL 103.280662 116.917662 \nL 105.439935 118.29756 \nL 107.438375 119.78971 \nL 109.269646 121.364467 \nL 110.931305 122.996015 \nL 112.424011 124.662337 \nL 113.750807 126.345043 \nL 114.916486 128.029041 \nL 115.927034 129.702181 \nL 116.789171 131.354856 \nL 118.096559 134.57083 \nL 118.894411 137.637035 \nL 119.232757 140.53269 \nL 119.151931 143.248489 \nL 118.680723 145.780919 \nL 117.835909 148.127946 \nL 116.622727 150.285608 \nL 115.036029 152.245023 \nL 113.062107 153.989454 \nL 111.923941 154.772897 \nL 110.681339 155.491125 \nL 109.331556 156.138345 \nL 107.872058 156.707606 \nL 106.300751 157.190661 \nL 104.616266 157.577848 \nL 102.818292 157.857976 \nL 100.907977 158.018238 \nL 98.888388 158.044179 \nL 96.765044 157.919726 \nL 94.54651 157.627321 \nL 92.245041 157.148197 \nL 89.87724 156.462825 \nL 87.464721 155.551595 \nL 85.034679 154.395765 \nL 82.620317 152.978708 \nL 80.261018 151.287485 \nL 78.002139 149.314683 \nL 75.894322 147.060469 \nL 73.992202 144.534697 \nL 72.352445 141.75885 \nL 71.031127 138.767507 \nL 70.080519 135.609035 \nL 69.545559 132.345149 \nL 69.460279 129.049124 \nL 69.844677 125.802605 \nL 70.702417 122.691121 \nL 72.019756 119.798764 \nL 73.765951 117.202621 \nL 75.89509 114.9676 \nL 78.349187 113.142453 \nL 81.062099 111.757336 \nL 83.963771 110.823259 \nL 86.984328 110.333185 \nL 90.05757 110.264608 \nL 93.123651 110.582946 \nL 96.130826 111.245383 \nL 99.036304 112.204518 \nL 101.806371 113.411659 \nL 104.415918 114.819389 \nL 106.847625 116.383475 \nL 109.090915 118.06407 \nL 111.140837 119.826314 \nL 112.996966 121.640503 \nL 114.662389 123.481916 \nL 116.142802 125.330434 \nL 117.445724 127.170047 \nL 118.57985 128.988286 \nL 119.554519 130.775705 \nL 121.063571 134.232274 \nL 122.046366 137.506122 \nL 122.567731 140.584551 \nL 122.679976 143.467073 \nL 122.421297 146.159342 \nL 121.815555 148.668977 \nL 120.872815 151.002498 \nL 119.590295 153.162905 \nL 117.953573 155.147386 \nL 115.938103 156.944797 \nL 113.511268 158.532596 \nL 112.131911 159.236781 \nL 110.635441 159.872911 \nL 109.017156 160.433055 \nL 107.272781 160.907658 \nL 105.398791 161.28535 \nL 103.392816 161.552754 \nL 101.254116 161.694319 \nL 98.984178 161.692197 \nL 96.587397 161.526189 \nL 94.071881 161.173833 \nL 91.450336 160.61064 \nL 88.741031 159.810598 \nL 85.968772 158.746974 \nL 83.165816 157.393535 \nL 80.372605 155.726212 \nL 77.638172 153.72528 \nL 75.020018 151.378025 \nL 72.583273 148.681779 \nL 70.398949 145.647132 \nL 68.541125 142.300922 \nL 67.083088 138.688544 \nL 66.092572 134.875012 \nL 65.626451 130.944205 \nL 65.725519 126.99591 \nL 66.410028 123.1406 \nL 67.676745 119.492274 \nL 69.498117 116.160144 \nL 71.823776 113.240326 \nL 74.584248 110.808663 \nL 77.696335 108.915859 \nL 81.069356 107.585353 \nL 84.611395 106.814176 \nL 88.234785 106.576249 \nL 91.860317 106.827333 \nL 95.419994 107.510776 \nL 98.858342 108.563178 \nL 102.132548 109.919337 \nL 105.211689 111.516208 \nL 108.075436 113.295637 \nL 110.712455 115.206038 \nL 113.118756 117.203136 \nL 115.296112 119.250042 \nL 117.250636 121.316838 \nL 118.991558 123.379884 \nL 120.530196 125.421003 \nL 121.879131 127.426635 \nL 123.051541 129.387016 \nL 124.919572 133.147721 \nL 126.235248 136.675714 \nL 127.087527 139.967495 \nL 127.549648 143.032837 \nL 127.678043 145.888016 \nL 127.512734 148.551625 \nL 127.078401 151.042019 \nL 126.385648 153.375714 \nL 125.432164 155.566272 \nL 124.20366 157.62331 \nL 122.674542 159.55133 \nL 120.808438 161.348135 \nL 118.558766 163.002447 \nL 115.869757 164.490423 \nL 112.67852 165.770644 \nL 110.873923 166.313433 \nL 108.919204 166.777176 \nL 106.806938 167.148312 \nL 104.530786 167.410515 \nL 102.086104 167.544334 \nL 99.470699 167.526857 \nL 96.685783 167.331453 \nL 93.73712 166.927627 \nL 90.636372 166.281108 \nL 87.40264 165.354252 \nL 84.06413 164.106951 \nL 80.659827 162.498139 \nL 77.24103 160.488139 \nL 73.87246 158.041935 \nL 70.632596 155.133445 \nL 67.61286 151.75068 \nL 64.915155 147.901468 \nL 62.64752 143.619043 \nL 60.917693 138.966628 \nL 59.824895 134.03972 \nL 59.450539 128.964918 \nL 59.849124 123.894455 \nL 61.040798 118.996252 \nL 63.007152 114.44042 \nL 65.691273 110.38405 \nL 69.002332 106.956817 \nL 72.823944 104.25001 \nL 77.024865 102.31063 \nL 81.470153 101.141379 \nL 86.031096 100.705749 \nL 90.592753 100.936724 \nL 95.05862 101.747125 \nL 99.352562 103.03981 \nL 103.418523 104.716385 \nL 107.218751 106.683776 \nL 110.731172 108.85851 \nL 113.946487 111.168923 \nL 116.865334 113.555791 \nL 119.495744 115.97182 \nL 121.85098 118.380465 \nL 123.947784 120.754431 \nL 125.804985 123.074104 \nL 127.442435 125.326035 \nL 130.138061 129.595964 \nL 132.188773 133.534482 \nL 133.732957 137.145603 \nL 134.888717 140.45013 \nL 135.753321 143.475713 \nL 136.670413 147.554225 \nL 137.471639 152.271 \nL 138.779767 160.611086 \nL 139.506014 163.520704 \nL 140.222397 165.418728 \nL 140.816724 166.549388 \nL 141.531234 167.568676 \nL 142.393993 168.470019 \nL 143.438964 169.242921 \nL 144.707411 169.871829 \nL 146.249478 170.334512 \nL 148.125893 170.599804 \nL 150.409671 170.624499 \nL 153.18751 170.349178 \nL 156.560282 169.69276 \nL 160.641464 168.545788 \nL 165.551502 166.763017 \nL 168.353882 165.576412 \nL 171.40466 164.157174 \nL 174.712919 162.475203 \nL 178.283082 160.498405 \nL 182.112873 158.193698 \nL 186.190792 155.528659 \nL 190.493094 152.473998 \nL 194.980313 149.007062 \nL 199.593538 145.116536 \nL 204.25075 140.808333 \nL 208.843808 136.112517 \nL 213.236913 131.090627 \nL 217.267602 125.842318 \nL 220.751475 120.509558 \nL 223.491736 115.27624 \nL 225.294005 110.360842 \nL 225.985876 106.000506 \nL 225.43901 102.426696 \nL 223.590049 99.835172 \nL 220.455598 98.355947 \nL 216.136771 98.030613 \nL 210.810955 98.803874 \nL 204.711663 100.532399 \nL 198.100811 103.009203 \nL 191.239632 105.996885 \nL 184.364111 109.261226 \nL 171.299369 115.847545 \nL 150.46048 126.454005 \nL 137.040308 133.188264 \nL 132.454266 135.689301 \nL 128.864354 137.903531 \nL 125.996672 139.962062 \nL 123.621425 141.936739 \nL 120.580033 144.798802 \nL 116.77276 148.397987 \nL 114.74164 150.052075 \nL 112.52057 151.563104 \nL 110.048389 152.886977 \nL 107.27687 153.969922 \nL 104.172527 154.745819 \nL 102.490175 154.993901 \nL 100.721195 155.133491 \nL 98.868105 155.151829 \nL 96.935785 155.035164 \nL 94.931874 154.768909 \nL 92.867218 154.337884 \nL 90.75631 153.726731 \nL 88.617706 152.920471 \nL 86.474369 151.905259 \nL 84.353878 150.669332 \nL 82.288448 149.204179 \nL 80.314676 147.505853 \nL 78.472934 145.576415 \nL 76.806344 143.425354 \nL 75.359323 141.070882 \nL 74.175679 138.540862 \nL 73.29635 135.873224 \nL 72.756902 133.115625 \nL 72.585037 130.324225 \nL 72.798337 127.56157 \nL 73.402551 124.89359 \nL 74.390627 122.386009 \nL 75.742708 120.100523 \nL 77.427092 118.091092 \nL 79.402073 116.400867 \nL 81.618467 115.060052 \nL 84.02251 114.084929 \nL 86.558817 113.478039 \nL 89.173098 113.229418 \nL 91.814441 113.318607 \nL 94.436997 113.717131 \nL 97.001077 114.391126 \nL 99.473655 115.303801 \nL 101.828415 116.417642 \nL 104.045412 117.696131 \nL 106.110492 119.105025 \nL 108.014572 120.613188 \nL 109.752854 122.193048 \nL 111.324038 123.820736 \nL 112.729589 125.476025 \nL 113.973056 127.142082 \nL 115.059499 128.805165 \nL 115.994973 130.454237 \nL 117.439786 133.677546 \nL 118.361796 136.764133 \nL 118.811589 139.68764 \nL 118.831302 142.435095 \nL 118.452223 145.000741 \nL 117.693961 147.381399 \nL 116.564678 149.572819 \nL 115.062089 151.566567 \nL 113.175145 153.347067 \nL 112.082283 154.149769 \nL 110.88653 154.888478 \nL 109.585339 155.557792 \nL 108.176314 156.151203 \nL 106.657428 156.660996 \nL 105.027287 157.078103 \nL 103.285439 157.392002 \nL 101.432747 157.590647 \nL 99.471821 157.660396 \nL 97.407514 157.586051 \nL 95.24748 157.350941 \nL 93.00278 156.937172 \nL 90.688521 156.325999 \nL 88.324479 155.498433 \nL 85.935689 154.436081 \nL 83.552885 153.122261 \nL 81.212733 151.543432 \nL 78.95775 149.690886 \nL 76.835773 147.562669 \nL 74.898888 145.165588 \nL 73.201745 142.517141 \nL 71.799202 139.647071 \nL 70.743433 136.598273 \nL 70.080593 133.426719 \nL 69.847388 130.200166 \nL 70.067888 126.995515 \nL 70.751046 123.894897 \nL 71.889247 120.980801 \nL 73.458206 118.330763 \nL 75.418267 116.012217 \nL 77.716975 114.078264 \nL 80.292585 112.564769 \nL 83.078077 111.489183 \nL 86.005155 110.851049 \nL 89.007856 110.633979 \nL 92.025428 110.808655 \nL 95.004346 111.33637 \nL 97.899476 112.17265 \nL 100.674446 113.270546 \nL 103.301418 114.583404 \nL 105.760425 116.066913 \nL 108.038446 117.680564 \nL 110.128355 119.388429 \nL 112.027856 121.15951 \nL 113.738462 122.967694 \nL 115.264581 124.791478 \nL 116.612713 126.613519 \nL 117.790764 128.420142 \nL 118.80748 130.200811 \nL 120.393463 133.654803 \nL 121.442333 136.935772 \nL 122.018606 140.026647 \nL 122.175203 142.923901 \nL 121.951464 145.631104 \nL 121.372658 148.154421 \nL 120.450383 150.499335 \nL 119.183458 152.668057 \nL 117.559136 154.657121 \nL 115.554673 156.454797 \nL 113.139483 158.038005 \nL 111.76691 158.73794 \nL 110.278307 159.368457 \nL 108.66934 159.921615 \nL 106.936143 160.387868 \nL 105.075637 160.755906 \nL 103.085932 161.012464 \nL 100.966805 161.14217 \nL 98.720282 161.127459 \nL 96.351313 160.948544 \nL 93.868545 160.58351 \nL 91.28518 160.008596 \nL 88.619896 159.198722 \nL 85.897757 158.128311 \nL 83.151065 156.772505 \nL 80.420006 155.108827 \nL 77.752967 153.119295 \nL 75.206338 150.793004 \nL 72.843608 148.129026 \nL 70.73358 145.139417 \nL 68.947595 141.851983 \nL 67.555792 138.312344 \nL 66.622526 134.584768 \nL 66.201354 130.751258 \nL 66.330128 126.908595 \nL 67.026882 123.163224 \nL 68.287171 119.624446 \nL 70.083408 116.396528 \nL 72.36638 113.57092 \nL 75.068834 111.219605 \nL 78.110586 109.390549 \nL 81.40441 108.105835 \nL 84.86193 107.362489 \nL 88.39879 107.135583 \nL 91.938636 107.382916 \nL 95.41575 108.050414 \nL 98.776312 109.077443 \nL 101.97857 110.401526 \nL 104.992154 111.962071 \nL 107.79687 113.703021 \nL 110.381207 115.574459 \nL 112.740774 117.53338 \nL 114.8768 119.543795 \nL 116.79477 121.576378 \nL 118.503245 123.607836 \nL 120.012874 125.620141 \nL 121.335579 127.59974 \nL 122.483915 129.536786 \nL 124.307946 133.258245 \nL 125.581722 136.755543 \nL 126.390615 140.023439 \nL 126.804798 143.070041 \nL 126.878011 145.91006 \nL 126.647825 148.560628 \nL 126.136572 151.038619 \nL 125.352518 153.358948 \nL 124.29096 155.53327 \nL 122.935154 157.568778 \nL 121.257062 159.466727 \nL 119.218078 161.220469 \nL 116.769983 162.812569 \nL 113.856655 164.210689 \nL 112.206572 164.821459 \nL 110.41729 165.361868 \nL 108.481453 165.820824 \nL 106.392391 166.184888 \nL 104.14459 166.437957 \nL 101.734289 166.560941 \nL 99.16023 166.531474 \nL 96.424577 166.323699 \nL 93.534017 165.908198 \nL 90.501045 165.252124 \nL 87.345402 164.31968 \nL 84.095615 163.073048 \nL 80.790529 161.473935 \nL 77.48064 159.485846 \nL 74.22902 157.077262 \nL 71.111474 154.225663 \nL 68.215565 150.922352 \nL 65.638168 147.177672 \nL 63.481227 143.026058 \nL 61.845685 138.529984 \nL 60.823825 133.781772 \nL 60.490756 128.902204 \nL 60.896141 124.035218 \nL 62.057531 119.338606 \nL 63.956665 114.971615 \nL 66.53964 111.08107 \nL 69.721127 107.78835 \nL 73.392013 105.179369 \nL 77.42915 103.299222 \nL 81.705537 102.152013 \nL 86.099479 101.70537 \nL 90.501631 101.898221 \nL 94.819459 102.650183 \nL 98.97922 103.87088 \nL 102.925901 105.468035 \nL 106.621724 107.353684 \nL 110.043844 109.448277 \nL 113.181702 111.682972 \nL 116.034409 114.00035 \nL 118.608363 116.354132 \nL 120.915195 118.708167 \nL 122.970085 121.035124 \nL 124.790404 123.315065 \nL 126.394674 125.534055 \nL 129.030345 129.756152 \nL 131.022965 133.667044 \nL 132.504256 137.266691 \nL 133.586797 140.572769 \nL 134.363034 143.610746 \nL 135.109308 147.725429 \nL 135.508699 151.387774 \nL 135.695452 155.697652 \nL 135.619121 159.481753 \nL 135.336866 162.847904 \nL 134.842053 165.879327 \nL 134.298463 167.974977 \nL 133.559854 169.947509 \nL 132.56208 171.822097 \nL 131.709637 173.029379 \nL 130.667661 174.210479 \nL 129.392922 175.370954 \nL 127.832095 176.514353 \nL 125.919721 177.640524 \nL 123.575999 178.742789 \nL 120.704703 179.803346 \nL 117.191839 180.785916 \nL 112.906301 181.624272 \nL 110.429223 181.956357 \nL 107.704936 182.204848 \nL 104.715904 182.344032 \nL 101.446359 182.34163 \nL 97.883765 182.15758 \nL 94.020797 181.742811 \nL 89.857942 181.038142 \nL 85.406848 179.973546 \nL 80.694414 178.468163 \nL 75.767628 176.431551 \nL 70.698816 173.766892 \nL 65.590828 170.376946 \nL 60.581148 166.173524 \nL 55.843511 161.090969 \nL 51.585179 155.103391 \nL 48.037921 148.244027 \nL 45.441324 140.623399 \nL 44.018491 132.441107 \nL 43.946679 123.985329 \nL 45.328153 115.615262 \nL 48.168376 107.725689 \nL 52.368364 100.698719 \nL 57.73454 94.853044 \nL 64.004528 90.403343 \nL 70.882262 87.439585 \nL 78.073739 85.929671 \nL 85.315825 85.741612 \nL 92.394052 86.676792 \nL 99.149154 88.50513 \nL 105.474803 90.995 \nL 111.310083 93.934398 \nL 116.629804 97.142927 \nL 121.434924 100.476132 \nL 125.744304 103.824449 \nL 129.588169 107.109118 \nL 133.003279 110.276754 \nL 136.029523 113.293779 \nL 141.077551 118.811337 \nL 145.044344 123.618727 \nL 149.566694 129.587808 \nL 154.077147 135.568131 \nL 156.056742 137.838434 \nL 158.018543 139.680753 \nL 160.056954 141.116066 \nL 162.247406 142.15172 \nL 163.418707 142.51851 \nL 164.648956 142.78255 \nL 165.943108 142.941501 \nL 167.305083 142.992479 \nL 168.737671 142.93216 \nL 171.81937 142.462911 \nL 175.181973 141.504008 \nL 178.788878 140.030768 \nL 182.564228 138.034107 \nL 186.383852 135.53462 \nL 188.256591 134.114933 \nL 190.069036 132.599124 \nL 191.790506 131.005348 \nL 193.387719 129.356269 \nL 194.825642 127.67902 \nL 196.0686 126.004837 \nL 197.081702 124.36831 \nL 197.832476 122.806235 \nL 198.292665 121.35608 \nL 198.440031 120.054126 \nL 198.259994 118.933438 \nL 197.746962 118.021862 \nL 196.905141 117.340228 \nL 195.748751 116.901037 \nL 194.301543 116.707759 \nL 192.595679 116.754878 \nL 190.670044 117.028634 \nL 188.568191 117.508416 \nL 186.336105 118.168591 \nL 181.664431 119.914593 \nL 176.995007 122.03576 \nL 172.59948 124.332422 \nL 168.664064 126.660328 \nL 165.293976 128.931738 \nL 162.529904 131.102812 \nL 160.367976 133.157077 \nL 158.777974 135.091075 \nL 157.717587 136.904448 \nL 157.142417 138.594299 \nL 157.012341 140.152575 \nL 157.295097 141.56529 \nL 157.967871 142.812522 \nL 159.017471 143.868609 \nL 160.439479 144.702252 \nL 162.236485 145.276443 \nL 164.415431 145.548378 \nL 166.983795 145.469657 \nL 169.944257 144.987282 \nL 173.287427 144.046231 \nL 176.982258 142.594619 \nL 180.964124 140.592625 \nL 185.121411 138.026236 \nL 187.214937 136.538593 \nL 189.282967 134.925927 \nL 191.293613 133.202529 \nL 193.210989 131.388053 \nL 194.995775 129.507875 \nL 196.606176 127.59312 \nL 197.999256 125.680332 \nL 199.13269 123.810564 \nL 199.966851 122.027978 \nL 200.46712 120.37785 \nL 200.606225 118.904151 \nL 200.366418 117.646845 \nL 199.741199 116.639207 \nL 198.736375 115.905461 \nL 197.370275 115.45903 \nL 195.67303 115.301735 \nL 193.684993 115.423977 \nL 191.454406 115.80594 \nL 189.034634 116.419612 \nL 186.481218 117.231363 \nL 181.190141 119.302837 \nL 175.973574 121.737991 \nL 171.130063 124.306967 \nL 166.85024 126.85645 \nL 163.228662 129.304002 \nL 160.287864 131.617773 \nL 158.003944 133.794269 \nL 156.328111 135.841057 \nL 155.20247 137.765959 \nL 154.570458 139.571716 \nL 154.383057 141.254098 \nL 154.602032 142.801847 \nL 155.201172 144.197238 \nL 156.166253 145.416602 \nL 157.494163 146.430504 \nL 159.191383 147.203489 \nL 161.271799 147.693557 \nL 163.753641 147.851524 \nL 166.655113 147.620787 \nL 169.988148 146.938105 \nL 173.749569 145.736384 \nL 177.909033 143.950984 \nL 180.117384 142.822568 \nL 182.393607 141.531214 \nL 184.718997 140.075775 \nL 187.069968 138.458672 \nL 189.41763 136.68685 \nL 191.727542 134.772733 \nL 193.959754 132.735146 \nL 196.069197 130.600059 \nL 198.006556 128.401023 \nL 199.719666 126.179104 \nL 201.155514 123.982217 \nL 202.262764 121.863644 \nL 202.99474 119.879767 \nL 203.31263 118.087023 \nL 203.188611 116.538295 \nL 202.608546 115.279095 \nL 201.573862 114.344003 \nL 200.102311 113.753865 \nL 198.22741 113.514162 \nL 195.996578 113.61491 \nL 193.468176 114.032002 \nL 190.707762 114.72993 \nL 187.784077 115.665339 \nL 184.765174 116.790936 \nL 178.691275 119.425667 \nL 172.910559 122.302049 \nL 167.709361 125.185762 \nL 163.240207 127.947091 \nL 159.550822 130.536835 \nL 156.619369 132.953642 \nL 154.385315 135.216679 \nL 152.772227 137.347987 \nL 151.702759 139.363638 \nL 151.1075 141.270678 \nL 150.92957 143.067249 \nL 151.126493 144.743858 \nL 151.670443 146.284765 \nL 152.547627 147.668863 \nL 153.757199 148.869947 \nL 155.30993 149.856297 \nL 157.226612 150.589717 \nL 159.535997 151.024196 \nL 162.271907 151.104417 \nL 165.468871 150.764561 \nL 169.155443 149.928242 \nL 171.187222 149.297602 \nL 173.344096 148.510676 \nL 175.622706 147.556615 \nL 178.016569 146.425219 \nL 180.515315 145.107563 \nL 183.103882 143.596802 \nL 185.761676 141.889193 \nL 188.461743 139.985266 \nL 191.170071 137.891187 \nL 193.845094 135.620201 \nL 196.43755 133.194068 \nL 198.890845 130.644284 \nL 201.142103 128.012912 \nL 203.124008 125.352729 \nL 204.767565 122.726367 \nL 206.005711 120.204291 \nL 206.777659 117.861446 \nL 207.033606 115.772648 \nL 206.739325 114.007098 \nL 205.880035 112.622588 \nL 204.462914 111.660221 \nL 202.517772 111.140501 \nL 200.095644 111.061536 \nL 197.26537 111.399674 \nL 194.108646 112.112543 \nL 190.714169 113.143969 \nL 187.171732 114.429889 \nL 183.566909 115.904323 \nL 176.46778 119.17525 \nL 169.893771 122.55454 \nL 164.126232 125.798035 \nL 159.279091 128.802876 \nL 155.349298 131.558928 \nL 152.265534 134.100779 \nL 149.925192 136.474349 \nL 148.218652 138.719182 \nL 147.043418 140.861922 \nL 146.311308 142.916067 \nL 145.951302 144.884415 \nL 145.909893 146.762012 \nL 146.150179 148.538641 \nL 146.650464 150.200457 \nL 147.402795 151.730744 \nL 148.411697 153.109901 \nL 149.693171 154.314752 \nL 151.273929 155.317299 \nL 153.190762 156.082934 \nL 155.489743 156.568178 \nL 158.224907 156.718021 \nL 161.455714 156.463059 \nL 165.24232 155.716931 \nL 167.361079 155.127695 \nL 169.637194 154.375088 \nL 172.073734 153.443535 \nL 174.671123 152.316926 \nL 177.426235 150.97912 \nL 180.331325 149.41468 \nL 183.372805 147.609906 \nL 186.529881 145.554191 \nL 189.773127 143.241738 \nL 193.063089 140.673666 \nL 196.349096 137.860404 \nL 199.568464 134.824281 \nL 202.646411 131.602012 \nL 205.496999 128.246753 \nL 208.025406 124.829175 \nL 210.13181 121.436957 \nL 211.716964 118.172199 \nL 212.689288 115.146239 \nL 212.972903 112.471986 \nL 212.515711 110.254225 \nL 211.29631 108.579141 \nL 209.328399 107.504637 \nL 206.661712 107.053492 \nL 203.378913 107.210713 \nL 199.588841 107.925887 \nL 195.417104 109.120102 \nL 190.995583 110.696053 \nL 186.452478 112.549304 \nL 181.904219 114.578714 \nL 173.168808 118.823382 \nL 165.341507 122.918167 \nL 158.678446 126.623478 \nL 153.21808 129.899344 \nL 148.869659 132.809753 \nL 145.481854 135.450268 \nL 142.88657 137.908315 \nL 140.923129 140.248231 \nL 139.449637 142.510163 \nL 138.346756 144.714931 \nL 137.517366 146.87016 \nL 136.621701 150.008782 \nL 135.794214 153.99524 \nL 134.390845 161.189009 \nL 133.71896 163.618212 \nL 132.863617 165.916611 \nL 131.745991 168.100597 \nL 130.807015 169.501842 \nL 129.670735 170.865063 \nL 128.292381 172.193892 \nL 126.617606 173.489437 \nL 124.580594 174.748231 \nL 122.102194 175.959001 \nL 119.088434 177.097572 \nL 115.430194 178.11897 \nL 111.005455 178.94548 \nL 108.465666 179.248254 \nL 105.686806 179.449201 \nL 102.654906 179.520551 \nL 99.358665 179.428053 \nL 95.791041 179.129987 \nL 91.951356 178.576257 \nL 87.84795 177.707756 \nL 83.501469 176.456274 \nL 78.948717 174.745312 \nL 74.246939 172.492334 \nL 69.478124 169.613021 \nL 64.752735 166.028158 \nL 60.211785 161.673626 \nL 56.025976 156.513467 \nL 52.390379 150.555207 \nL 49.51332 143.865374 \nL 47.599046 136.581793 \nL 46.825204 128.918212 \nL 47.31825 121.156977 \nL 49.131749 113.627528 \nL 52.233091 106.672031 \nL 56.503065 100.604165 \nL 61.749262 95.670025 \nL 67.730507 92.020397 \nL 74.186423 89.700352 \nL 80.865483 88.656758 \nL 87.546422 88.759484 \nL 94.050664 89.8294 \nL 100.246191 91.666367 \nL 106.044939 94.072317 \nL 111.396407 96.867265 \nL 116.279796 99.898147 \nL 120.696305 103.041871 \nL 124.662443 106.204291 \nL 128.204676 109.316845 \nL 131.355398 112.332198 \nL 134.150014 115.219739 \nL 138.816114 120.548734 \nL 142.484583 125.254351 \nL 146.663927 131.203174 \nL 151.744944 138.59335 \nL 153.552617 140.800219 \nL 155.398004 142.623235 \nL 157.36625 144.074278 \nL 159.529041 145.152273 \nL 160.702723 145.547552 \nL 161.946951 145.843423 \nL 163.267662 146.036259 \nL 164.670063 146.121727 \nL 166.158527 146.09485 \nL 167.736443 145.950086 \nL 169.406016 145.681447 \nL 171.168017 145.28266 \nL 173.021491 144.747375 \nL 174.963384 144.069448 \nL 176.988148 143.243296 \nL 179.087282 142.264358 \nL 181.248861 141.129629 \nL 183.457057 139.838316 \nL 185.69169 138.392578 \nL 187.927863 136.798327 \nL 190.135734 135.066082 \nL 192.280501 133.211762 \nL 194.322688 131.257382 \nL 196.218798 129.231498 \nL 197.922407 127.169282 \nL 199.385752 125.112114 \nL 200.561786 123.106541 \nL 201.406648 121.202545 \nL 201.882375 119.45119 \nL 201.959673 117.901671 \nL 201.620423 116.598115 \nL 200.85962 115.576389 \nL 199.686481 114.861391 \nL 198.1245 114.465178 \nL 196.210365 114.386223 \nL 193.991874 114.609952 \nL 191.525016 115.110464 \nL 188.870609 115.853206 \nL 186.090859 116.798151 \nL 180.392559 119.126758 \nL 174.849615 121.782398 \nL 169.766887 124.523331 \nL 165.326474 127.199459 \nL 161.606814 129.739283 \nL 158.612445 132.123464 \nL 156.302967 134.359157 \nL 154.616032 136.461612 \nL 153.483409 138.443646 \nL 152.841081 140.311034 \nL 152.634963 142.061449 \nL 152.823619 143.685038 \nL 153.379112 145.165405 \nL 154.286727 146.48036 \nL 155.544017 147.602175 \nL 157.159403 148.497267 \nL 159.15031 149.12543 \nL 161.540635 149.438813 \nL 164.357159 149.380963 \nL 167.624259 148.886508 \nL 171.356132 147.88236 \nL 175.545601 146.29184 \nL 177.800153 145.253813 \nL 180.148748 144.043638 \nL 182.576952 142.655884 \nL 185.065449 141.087963 \nL 187.589368 139.341136 \nL 190.117721 137.42165 \nL 192.613023 135.341927 \nL 195.031237 133.121723 \nL 197.322114 130.789117 \nL 199.430117 128.38115 \nL 201.295993 125.943905 \nL 202.859058 123.53179 \nL 204.060207 121.205896 \nL 204.845485 119.031286 \nL 205.169987 117.073297 \nL 205.001679 115.393107 \nL 204.32471 114.043012 \nL 203.141678 113.062004 \nL 201.474497 112.472367 \nL 199.363581 112.277778 \nL 196.865415 112.463379 \nL 194.048749 112.997741 \nL 190.989936 113.836444 \nL 187.767998 114.926685 \nL 184.460015 116.212175 \nL 177.862534 119.152572 \nL 171.656362 122.285063 \nL 166.134218 125.362867 \nL 161.436503 128.263327 \nL 157.590217 130.952897 \nL 154.551234 133.446564 \nL 152.238888 135.77668 \nL 150.560157 137.974545 \nL 149.424688 140.062204 \nL 148.753139 142.050558 \nL 148.48108 143.940534 \nL 148.560222 145.725191 \nL 148.958166 147.391673 \nL 149.657446 148.922482 \nL 150.654326 150.295994 \nL 151.957582 151.486183 \nL 153.587313 152.46174 \nL 155.573692 153.184571 \nL 157.955372 153.607916 \nL 160.777138 153.674207 \nL 164.086055 153.313088 \nL 167.92515 152.440286 \nL 170.053459 151.782044 \nL 172.323247 150.95866 \nL 174.733338 149.956859 \nL 177.279349 148.763632 \nL 179.952809 147.36688 \nL 182.740172 145.756299 \nL 185.621752 143.924503 \nL 188.570638 141.86841 \nL 191.551663 139.590895 \nL 194.520565 137.102636 \nL 197.423506 134.424037 \nL 200.197146 131.587047 \nL 202.769505 128.636574 \nL 205.061842 125.631163 \nL 206.991706 122.642521 \nL 208.477201 119.753481 \nL 209.442356 117.054182 \nL 209.823176 114.636453 \nL 209.57376 112.586764 \nL 208.67167 110.978476 \nL 207.121639 109.864565 \nL 204.956843 109.272036 \nL 202.237363 109.199121 \nL 199.045867 109.615928 \nL 195.481119 110.468489 \nL 191.650286 111.685349 \nL 187.661179 113.185662 \nL 183.615415 114.887191 \nL 175.700277 118.597177 \nL 168.444792 122.339941 \nL 162.145066 125.849062 \nL 156.898803 129.033448 \nL 152.672839 131.90867 \nL 149.363123 134.535374 \nL 146.837255 136.979986 \nL 144.960563 139.296043 \nL 143.610144 141.519025 \nL 142.681159 143.668003 \nL 142.088565 145.749736 \nL 141.766396 147.762938 \nL 141.665896 149.701682 \nL 141.753305 151.557705 \nL 142.007732 153.321759 \nL 142.419355 154.984183 \nL 142.988052 156.534885 \nL 143.722485 157.962897 \nL 144.639638 159.255628 \nL 145.764751 160.397762 \nL 147.131598 161.369884 \nL 148.783023 162.146681 \nL 150.771577 162.694652 \nL 153.160028 162.969236 \nL 156.021328 162.911231 \nL 159.437322 162.442557 \nL 163.495036 161.461721 \nL 165.7913 160.74013 \nL 168.278625 159.839964 \nL 170.964602 158.74071 \nL 173.854178 157.420399 \nL 176.948502 155.856091 \nL 180.243518 154.024654 \nL 183.728261 151.90398 \nL 187.382868 149.474678 \nL 191.176375 146.722391 \nL 195.064387 143.64078 \nL 198.986871 140.235159 \nL 202.866354 136.526658 \nL 206.607009 132.556585 \nL 210.09519 128.390402 \nL 213.202046 124.120436 \nL 215.788774 119.866245 \nL 217.714876 115.77143 \nL 218.849236 111.99597 \nL 219.083175 108.703801 \nL 218.343849 106.046457 \nL 216.605661 104.145056 \nL 213.897207 103.073957 \nL 210.301743 102.849785 \nL 205.950501 103.428869 \nL 201.009721 104.713934 \nL 195.663862 106.568763 \nL 190.098183 108.837289 \nL 184.483719 111.362941 \nL 173.662379 116.646718 \nL 159.72412 123.870635 \nL 149.207554 129.577814 \nL 143.95123 132.664212 \nL 139.845708 135.367196 \nL 136.654066 137.830199 \nL 134.156671 140.154366 \nL 132.162631 142.400826 \nL 130.511764 144.600281 \nL 128.396454 147.830867 \nL 125.72637 151.986032 \nL 124.277172 153.974451 \nL 122.662251 155.885279 \nL 120.819336 157.701824 \nL 118.686819 159.402881 \nL 116.202197 160.959709 \nL 113.301904 162.331781 \nL 109.923149 163.461131 \nL 108.036043 163.910171 \nL 106.008746 164.265205 \nL 103.836505 164.510703 \nL 101.516411 164.628536 \nL 99.04807 164.597764 \nL 96.434416 164.394484 \nL 93.682682 163.991828 \nL 90.805513 163.360154 \nL 87.82219 162.467557 \nL 84.759918 161.280763 \nL 81.655076 159.766552 \nL 78.554273 157.89382 \nL 75.514997 155.636324 \nL 72.605617 152.976155 \nL 69.904418 149.907782 \nL 67.497381 146.442362 \nL 65.47454 142.61185 \nL 63.924834 138.472165 \nL 62.929706 134.104587 \nL 62.556023 129.614559 \nL 62.849168 125.127377 \nL 63.82738 120.780663 \nL 65.478429 116.714256 \nL 67.75934 113.058841 \nL 70.599415 109.924976 \nL 73.906144 107.394349 \nL 77.573022 105.514552 \nL 81.488068 104.298038 \nL 85.541728 103.724948 \nL 89.633336 103.74893 \nL 93.67552 104.304634 \nL 97.59657 105.315517 \nL 101.341009 106.700969 \nL 104.868793 108.382074 \nL 108.153655 110.285688 \nL 111.181005 112.346993 \nL 113.945728 114.510645 \nL 116.450066 116.730929 \nL 118.70175 118.971213 \nL 120.712394 121.202999 \nL 122.496188 123.404788 \nL 124.068847 125.560911 \nL 125.446796 127.660438 \nL 127.684272 131.663966 \nL 129.334485 135.389136 \nL 130.509231 138.837345 \nL 131.302341 142.024551 \nL 131.788978 144.973371 \nL 132.026652 147.708498 \nL 132.057025 150.254216 \nL 131.907926 152.633126 \nL 131.595204 154.865609 \nL 131.124259 156.969649 \nL 130.491146 158.960839 \nL 129.683225 160.8524 \nL 128.679385 162.655106 \nL 127.449861 164.376948 \nL 125.955708 166.022435 \nL 124.148031 167.591305 \nL 121.967131 169.076351 \nL 119.341853 170.459999 \nL 116.189685 171.709012 \nL 112.418536 172.766655 \nL 110.270584 173.196874 \nL 107.931795 173.54146 \nL 105.391184 173.781059 \nL 102.639365 173.892036 \nL 99.669523 173.845843 \nL 96.478672 173.608409 \nL 93.06925 173.139666 \nL 89.451079 172.393298 \nL 85.643713 171.316947 \nL 81.679083 169.853068 \nL 77.604368 167.940789 \nL 73.484768 165.519093 \nL 69.405801 162.531651 \nL 65.474463 158.933553 \nL 61.818514 154.699846 \nL 58.582977 149.835375 \nL 55.923141 144.384758 \nL 53.993744 138.440598 \nL 52.934814 132.147462 \nL 52.855695 125.699203 \nL 53.819873 119.3279 \nL 55.833725 113.284519 \nL 58.842176 107.813751 \nL 62.732697 103.127485 \nL 67.347293 99.382291 \nL 72.499961 96.665572 \nL 77.996 94.99257 \nL 83.649546 94.313724 \nL 89.296718 94.529389 \nL 94.803343 95.507985 \nL 100.067542 97.103782 \nL 105.0184 99.171699 \nL 109.612179 101.577881 \nL 113.827417 104.205941 \nL 117.659885 106.959589 \nL 121.118013 109.762549 \nL 124.21902 112.556837 \nL 126.985854 115.300202 \nL 129.444844 117.963254 \nL 131.623963 120.526745 \nL 135.255627 125.314691 \nL 138.098957 129.630956 \nL 140.350559 133.489923 \nL 142.981537 138.497428 \nL 145.779877 143.914326 \nL 147.1021 146.152132 \nL 148.479295 148.102769 \nL 149.978898 149.774808 \nL 151.663012 151.166975 \nL 153.591313 152.267392 \nL 155.823072 153.052529 \nL 157.071405 153.316006 \nL 158.418036 153.485874 \nL 159.870404 153.555293 \nL 161.435782 153.516434 \nL 163.121122 153.360453 \nL 164.932846 153.077488 \nL 166.87655 152.656707 \nL 168.95665 152.086383 \nL 171.175902 151.354078 \nL 173.534845 150.446903 \nL 176.03109 149.351921 \nL 178.658521 148.05673 \nL 181.40635 146.550217 \nL 184.258093 144.823607 \nL 187.190478 142.871711 \nL 190.172379 140.69449 \nL 193.16386 138.298834 \nL 196.115504 135.700473 \nL 198.968185 132.925914 \nL 201.653552 130.01409 \nL 204.095396 127.017456 \nL 206.212165 124.002107 \nL 207.92069 121.046502 \nL 209.141104 118.238502 \nL 209.80268 115.67051 \nL 209.850072 113.432993 \nL 209.249187 111.606847 \nL 207.991803 110.255714 \nL 206.098077 109.419377 \nL 203.616331 109.109527 \nL 200.619933 109.30879 \nL 197.201682 109.973259 \nL 193.466461 111.038116 \nL 189.523304 112.425271 \nL 185.477973 114.051636 \nL 177.453093 117.708448 \nL 169.990094 121.48663 \nL 163.439405 125.071368 \nL 157.938027 128.33733 \nL 153.476051 131.28255 \nL 149.96023 133.962538 \nL 147.260879 136.445378 \nL 145.241445 138.788854 \nL 143.7749 141.032907 \nL 142.751448 143.200208 \nL 142.081061 145.300074 \nL 141.693134 147.332815 \nL 141.53477 149.293422 \nL 141.568564 151.174151 \nL 141.77041 152.966089 \nL 142.127579 154.659888 \nL 142.637233 156.245903 \nL 143.305383 157.713861 \nL 144.146301 159.052181 \nL 145.182355 160.247024 \nL 146.444204 161.281029 \nL 147.971286 162.131689 \nL 149.812481 162.769278 \nL 152.026757 163.154226 \nL 154.683477 163.233806 \nL 157.861793 162.938111 \nL 161.648171 162.175503 \nL 166.130483 160.828187 \nL 168.657725 159.890568 \nL 171.386194 158.749577 \nL 174.320485 157.382802 \nL 177.461185 155.766919 \nL 180.803388 153.87855 \nL 184.334925 151.695537 \nL 188.034317 149.198763 \nL 191.868497 146.374591 \nL 195.790446 143.217995 \nL 199.736972 139.736361 \nL 203.626986 135.953788 \nL 207.360734 131.915503 \nL 210.820612 127.691805 \nL 213.874196 123.380536 \nL 216.38005 119.106987 \nL 218.196591 115.020003 \nL 219.193768 111.28338 \nL 219.26656 108.062471 \nL 218.348452 105.50703 \nL 216.422482 103.732884 \nL 213.527319 102.805863 \nL 209.756502 102.731966 \nL 205.250392 103.456336 \nL 200.182047 104.871742 \nL 194.739755 106.83464 \nL 189.109525 109.185023 \nL 183.460465 111.765779 \nL 172.643488 117.090271 \nL 158.821635 124.269959 \nL 148.457843 129.900884 \nL 143.293501 132.945231 \nL 139.263536 135.617409 \nL 136.129067 138.059275 \nL 133.670777 140.369094 \nL 131.699058 142.605204 \nL 130.055249 144.796108 \nL 127.251521 149.066458 \nL 125.191154 152.146887 \nL 123.692247 154.120096 \nL 122.015486 156.011551 \nL 120.0982 157.802984 \nL 117.878387 159.470932 \nL 115.29344 160.98346 \nL 112.280435 162.29561 \nL 110.594214 162.857503 \nL 108.778637 163.343465 \nL 106.827412 163.741338 \nL 104.735361 164.036801 \nL 102.498911 164.213113 \nL 100.116677 164.250877 \nL 97.590215 164.127882 \nL 94.924884 163.819023 \nL 92.130881 163.296427 \nL 89.224383 162.529809 \nL 86.228776 161.487174 \nL 83.175881 160.135995 \nL 80.107073 158.444929 \nL 77.074091 156.386212 \nL 74.139323 153.93871 \nL 71.37528 151.091621 \nL 68.863011 147.84856 \nL 66.689164 144.231668 \nL 64.941641 140.285128 \nL 63.703897 136.077354 \nL 63.048324 131.701 \nL 63.029384 127.270177 \nL 63.677501 122.914551 \nL 64.9947 118.770632 \nL 66.952927 114.971216 \nL 69.495493 111.634402 \nL 72.541525 108.854 \nL 75.992773 106.692741 \nL 79.741626 105.179356 \nL 83.679169 104.309512 \nL 87.702179 104.050178 \nL 91.71841 104.34616 \nL 95.649849 105.127632 \nL 99.434126 106.317412 \nL 103.024369 107.83724 \nL 106.387999 109.612562 \nL 109.504882 111.575729 \nL 112.365239 113.667802 \nL 114.967527 115.839172 \nL 117.316507 118.049363 \nL 119.421542 120.266314 \nL 121.295177 122.465358 \nL 122.951981 124.628101 \nL 124.407638 126.74134 \nL 126.77974 130.786455 \nL 128.536485 134.563577 \nL 129.79098 138.067447 \nL 130.639365 141.310169 \nL 131.159356 144.312302 \nL 131.410804 147.097566 \nL 131.437254 149.689909 \nL 131.267822 152.111937 \nL 130.919007 154.384152 \nL 130.396208 156.524659 \nL 129.694829 158.549033 \nL 128.800956 160.470231 \nL 127.69159 162.298367 \nL 126.334495 164.040189 \nL 124.687744 165.698119 \nL 122.699074 167.268573 \nL 120.305303 168.739239 \nL 117.432209 170.084868 \nL 113.995583 171.260956 \nL 112.037673 171.764062 \nL 109.904692 172.194578 \nL 107.585565 172.536876 \nL 105.070177 172.771774 \nL 102.350108 172.875959 \nL 99.419579 172.821408 \nL 96.276691 172.574852 \nL 92.924961 172.097368 \nL 89.375207 171.344231 \nL 85.647775 170.265195 \nL 81.775026 168.805429 \nL 77.803996 166.907411 \nL 73.798912 164.514072 \nL 69.843196 161.573477 \nL 66.040373 158.045231 \nL 62.513151 153.908514 \nL 59.399899 149.171172 \nL 56.847881 143.878821 \nL 55.003031 138.122145 \nL 53.996745 132.040223 \nL 53.931132 125.817643 \nL 54.865116 119.674021 \nL 56.804203 113.84604 \nL 59.69653 108.564288 \nL 63.436555 104.028891 \nL 67.87596 100.388788 \nL 72.839635 97.728825 \nL 78.143457 96.066653 \nL 83.610571 95.359068 \nL 89.08385 95.515263 \nL 94.433402 96.413328 \nL 99.559405 97.916761 \nL 104.391208 99.888369 \nL 108.884094 102.200401 \nL 113.014845 104.740784 \nL 116.777099 107.415902 \nL 120.177038 110.150838 \nL 123.229703 112.88802 \nL 125.956023 115.58492 \nL 128.380514 118.211483 \nL 130.529552 120.747592 \nL 134.108936 125.504294 \nL 136.903283 129.814853 \nL 139.102451 133.688038 \nL 141.637316 138.746224 \nL 145.456863 146.59258 \nL 146.689866 148.636417 \nL 148.018264 150.420358 \nL 149.501149 151.947192 \nL 151.195431 153.210303 \nL 153.158271 154.192724 \nL 155.448709 154.865806 \nL 158.128212 155.187515 \nL 159.633533 155.199328 \nL 161.25968 155.100483 \nL 163.014199 154.881128 \nL 164.904132 154.530279 \nL 166.935698 154.035856 \nL 169.113881 153.384768 \nL 171.441907 152.563089 \nL 173.920588 151.556345 \nL 176.547547 150.349965 \nL 179.316272 148.929922 \nL 182.215046 147.283617 \nL 185.225763 145.401047 \nL 188.322655 143.276297 \nL 191.471055 140.909337 \nL 194.626292 138.308112 \nL 197.732918 135.490791 \nL 200.724484 132.488024 \nL 203.524164 129.344849 \nL 206.046473 126.121876 \nL 208.200357 122.895257 \nL 209.893726 119.754913 \nL 211.039406 116.800679 \nL 211.562059 114.136187 \nL 211.405453 111.860851 \nL 210.539056 110.060752 \nL 208.962846 108.799751 \nL 206.709385 108.11235 \nL 203.842494 107.999807 \nL 200.452559 108.430366 \nL 196.649078 109.343706 \nL 192.551674 110.658681 \nL 188.280888 112.2829 \nL 183.950131 114.122392 \nL 175.492483 118.11019 \nL 167.769833 122.088745 \nL 161.095036 125.770366 \nL 155.559429 129.068636 \nL 151.112461 132.015194 \nL 147.629827 134.687973 \nL 144.9601 137.167302 \nL 142.952245 139.516286 \nL 141.469729 141.776374 \nL 140.396318 143.970214 \nL 139.637126 146.106843 \nL 139.117195 148.18679 \nL 138.664098 151.19111 \nL 138.487769 154.039059 \nL 138.548923 157.562235 \nL 138.87317 160.745617 \nL 139.282979 162.899081 \nL 139.857691 164.844587 \nL 140.638224 166.572773 \nL 141.302809 167.596675 \nL 142.110972 168.509731 \nL 143.093687 169.301397 \nL 144.289249 169.956786 \nL 145.744693 170.455099 \nL 147.517393 170.767485 \nL 149.676746 170.854133 \nL 152.305681 170.660354 \nL 155.501492 170.111451 \nL 159.375028 169.106256 \nL 164.046487 167.509715 \nL 169.634844 165.14588 \nL 172.804684 163.609138 \nL 176.236098 161.794925 \nL 179.931002 159.670297 \nL 183.883546 157.201914 \nL 188.077347 154.358036 \nL 192.482225 151.11144 \nL 197.050555 147.443467 \nL 201.713471 143.349291 \nL 206.377344 138.84438 \nL 210.921266 133.971779 \nL 215.19643 128.8094 \nL 219.028631 123.475942 \nL 222.225026 118.133423 \nL 224.586112 112.983998 \nL 225.922945 108.258882 \nL 226.078424 104.198324 \nL 224.949693 101.023894 \nL 222.507291 98.907209 \nL 218.806083 97.941822 \nL 213.984248 98.125981 \nL 208.249203 99.361713 \nL 201.853088 101.471467 \nL 195.063233 104.227886 \nL 188.134131 107.388701 \nL 174.693136 114.060052 \nL 148.453358 127.396385 \nL 135.717896 133.79655 \nL 131.372044 136.209165 \nL 127.958633 138.369482 \nL 125.212504 140.394381 \nL 122.912909 142.344866 \nL 115.056368 149.53081 \nL 112.883344 151.068282 \nL 110.475082 152.428711 \nL 107.780692 153.560559 \nL 104.763702 154.400729 \nL 103.127668 154.68789 \nL 101.405931 154.871906 \nL 99.600212 154.940598 \nL 97.714418 154.880791 \nL 95.755025 154.67844 \nL 93.7315 154.318825 \nL 91.656724 153.786909 \nL 89.547413 153.067808 \nL 87.424489 152.147466 \nL 85.313324 151.013503 \nL 83.243852 149.656283 \nL 81.250415 148.070126 \nL 79.371308 146.25469 \nL 77.647955 144.216363 \nL 76.123642 141.969582 \nL 74.841839 139.53791 \nL 73.844111 136.954644 \nL 73.167775 134.262798 \nL 72.843424 131.514266 \nL 72.892633 128.768121 \nL 73.326012 126.088018 \nL 74.141961 123.53892 \nL 75.326262 121.18343 \nL 76.852601 119.078058 \nL 78.68403 117.269986 \nL 80.775155 115.79452 \nL 83.07484 114.673657 \nL 85.529089 113.915767 \nL 88.083827 113.516383 \nL 90.687336 113.459832 \nL 93.29216 113.721496 \nL 95.856438 114.270303 \nL 98.344655 115.071267 \nL 100.727871 116.087716 \nL 102.983571 117.283214 \nL 105.095193 118.623002 \nL 107.05148 120.075013 \nL 108.845736 121.610475 \nL 110.475057 123.20419 \nL 111.939589 124.834561 \nL 113.241835 126.483437 \nL 114.38604 128.135834 \nL 115.377666 129.779598 \nL 116.222931 131.405036 \nL 117.500917 134.57236 \nL 118.272531 137.596394 \nL 118.585233 140.454581 \nL 118.477419 143.135771 \nL 117.97651 145.634564 \nL 117.098457 147.947 \nL 115.848208 150.067072 \nL 114.220934 151.983689 \nL 112.20398 153.677639 \nL 111.043961 154.432111 \nL 109.779739 155.118385 \nL 108.409025 155.730293 \nL 106.929851 156.260494 \nL 105.340806 156.700359 \nL 103.641342 157.039866 \nL 101.83212 157.267514 \nL 99.915424 157.370266 \nL 97.89563 157.333551 \nL 95.779733 157.141365 \nL 93.577934 156.776452 \nL 91.304249 156.220661 \nL 88.977128 155.455474 \nL 86.62003 154.46278 \nL 84.261879 153.225908 \nL 81.937353 151.730927 \nL 79.686862 149.968251 \nL 77.556142 147.934455 \nL 75.595336 145.634201 \nL 73.857496 143.082142 \nL 72.396455 140.304529 \nL 71.264133 137.340254 \nL 70.507386 134.241024 \nL 70.164679 131.070404 \nL 70.262927 127.901589 \nL 70.814852 124.813904 \nL 71.817321 121.888304 \nL 73.250882 119.202279 \nL 75.080656 116.82479 \nL 77.258521 114.811883 \nL 79.726293 113.20348 \nL 82.41952 112.021793 \nL 85.27139 111.271332 \nL 88.216386 110.940442 \nL 91.193283 111.003968 \nL 94.147383 111.426579 \nL 97.031873 112.166254 \nL 99.80842 113.177631 \nL 102.447113 114.414819 \nL 104.925948 115.833633 \nL 107.229995 117.393169 \nL 109.350411 119.056774 \nL 111.283404 120.792505 \nL 113.029226 122.57321 \nL 114.591242 124.376315 \nL 115.975119 126.183459 \nL 117.18811 127.980013 \nL 118.238475 129.754576 \nL 119.134994 131.498484 \nL 120.501982 134.870575 \nL 121.357041 138.065064 \nL 121.759375 141.06966 \nL 121.755953 143.883023 \nL 121.380106 146.509112 \nL 120.65138 148.953162 \nL 119.576128 151.21867 \nL 118.14854 153.304835 \nL 116.352039 155.204062 \nL 114.161131 156.899124 \nL 112.907998 157.661251 \nL 111.54406 158.359741 \nL 110.065023 158.988079 \nL 108.466814 159.538351 \nL 106.745842 160.00108 \nL 104.899319 160.365056 \nL 102.925659 160.617158 \nL 100.824952 160.742227 \nL 98.599531 160.722973 \nL 96.254638 160.53997 \nL 93.799175 160.171769 \nL 91.246542 159.595194 \nL 88.615516 158.785869 \nL 85.931126 157.719046 \nL 83.225454 156.370812 \nL 80.538238 154.719722 \nL 77.917138 152.74886 \nL 75.417497 150.448343 \nL 73.101415 147.818106 \nL 71.035988 144.870786 \nL 69.290584 141.634328 \nL 67.933203 138.153915 \nL 67.026062 134.492689 \nL 66.620782 130.7308 \nL 66.753693 126.962494 \nL 67.441924 123.291182 \nL 68.680888 119.822862 \nL 70.443659 116.658604 \nL 72.682452 113.887069 \nL 75.332053 111.578162 \nL 78.314692 109.778711 \nL 81.5457 108.510594 \nL 84.939152 107.771512 \nL 88.41285 107.537931 \nL 91.892189 107.769504 \nL 95.312732 108.41422 \nL 98.621487 109.413524 \nL 101.777125 110.706853 \nL 104.749369 112.235254 \nL 107.517856 113.943988 \nL 110.07073 115.784155 \nL 112.40314 117.713453 \nL 114.515791 119.696346 \nL 116.413617 121.703757 \nL 118.104633 123.712474 \nL 119.59896 125.704449 \nL 120.908028 127.666021 \nL 122.043932 129.58719 \nL 123.845085 133.282601 \nL 125.096278 136.760142 \nL 125.880523 140.013061 \nL 126.26604 143.048093 \nL 126.304914 145.878749 \nL 126.033225 148.521018 \nL 125.47191 150.990672 \nL 124.627856 153.301416 \nL 123.494977 155.463474 \nL 122.055156 157.482214 \nL 120.279075 159.356478 \nL 118.12712 161.076337 \nL 115.550669 162.61987 \nL 112.494351 163.94868 \nL 110.768048 164.514579 \nL 108.900166 165.001734 \nL 106.88424 165.397685 \nL 104.714821 165.687494 \nL 102.388019 165.853436 \nL 99.902184 165.874729 \nL 97.258744 165.727321 \nL 94.463205 165.383788 \nL 91.52634 164.813427 \nL 88.465504 163.982624 \nL 85.306074 162.855646 \nL 82.082901 161.395932 \nL 78.841627 159.56808 \nL 75.639656 157.340612 \nL 72.546524 154.689554 \nL 69.643281 151.60279 \nL 67.020595 148.084878 \nL 64.775251 144.161906 \nL 63.004922 139.88556 \nL 61.801389 135.335514 \nL 61.242681 130.619114 \nL 61.385114 125.867589 \nL 62.256394 121.228504 \nL 63.851099 116.854977 \nL 66.129517 112.892922 \nL 69.020279 109.468361 \nL 72.42646 106.6768 \nL 76.234163 104.576482 \nL 80.322083 103.186403 \nL 84.570634 102.488929 \nL 88.869446 102.436047 \nL 93.122582 102.957726 \nL 97.251357 103.970823 \nL 101.195073 105.387256 \nL 104.910145 107.120608 \nL 108.368231 109.090886 \nL 111.553858 111.227374 \nL 114.461918 113.469969 \nL 117.095311 115.769314 \nL 119.46285 118.086133 \nL 121.577494 120.390134 \nL 123.454921 122.658706 \nL 125.112381 124.875582 \nL 126.567831 127.029612 \nL 128.944284 131.12373 \nL 130.721191 134.916794 \nL 132.020151 138.413151 \nL 132.943677 141.631723 \nL 133.574778 144.597691 \nL 133.97834 147.33781 \nL 134.26041 151.080494 \nL 134.248228 154.450671 \nL 134.000386 157.513751 \nL 133.535792 160.323563 \nL 132.841383 162.924633 \nL 131.875354 165.35434 \nL 131.046517 166.894724 \nL 130.036657 168.380884 \nL 128.808845 169.819027 \nL 127.317238 171.212975 \nL 125.505583 172.562752 \nL 123.305601 173.862267 \nL 120.635508 175.095563 \nL 117.399189 176.230924 \nL 113.486984 177.211894 \nL 111.240378 177.616897 \nL 108.779924 177.943921 \nL 106.091057 178.172092 \nL 103.160567 178.275464 \nL 99.97769 178.222126 \nL 96.535555 177.973295 \nL 92.833089 177.482488 \nL 88.877426 176.694939 \nL 84.686873 175.547471 \nL 80.294395 173.969172 \nL 75.751504 171.883298 \nL 71.132223 169.210945 \nL 66.536602 165.877007 \nL 62.092875 161.818892 \nL 57.957185 156.998018 \nL 54.30945 151.413538 \nL 51.344241 145.116608 \nL 49.256009 138.222396 \nL 48.219317 130.916039 \nL 48.36648 123.448584 \nL 49.766641 116.120402 \nL 52.411292 109.252454 \nL 56.210541 103.149642 \nL 61.001893 98.06385 \nL 66.57008 94.165043 \nL 72.673223 91.526755 \nL 79.069471 90.128016 \nL 85.538956 89.869215 \nL 91.89809 90.5962 \nL 98.005828 92.126343 \nL 103.763305 94.271544 \nL 109.109124 96.855368 \nL 114.01257 99.723584 \nL 118.466408 102.748921 \nL 122.48032 105.831497 \nL 126.075457 108.896553 \nL 129.280194 111.890777 \nL 132.126978 114.778222 \nL 134.650075 117.536372 \nL 138.862555 122.621905 \nL 142.180776 127.120523 \nL 145.986122 132.836795 \nL 149.842083 138.789732 \nL 151.570051 141.149119 \nL 153.310979 143.136838 \nL 155.152368 144.767697 \nL 157.169038 146.044016 \nL 158.26378 146.546496 \nL 159.426113 146.955485 \nL 160.662912 147.267701 \nL 161.980534 147.479089 \nL 163.384769 147.584823 \nL 164.880718 147.579343 \nL 166.472666 147.456418 \nL 168.163869 147.209229 \nL 169.956311 146.830504 \nL 171.850378 146.312703 \nL 173.844491 145.648258 \nL 175.934652 144.829932 \nL 178.113953 143.851237 \nL 180.372016 142.706993 \nL 182.694427 141.394009 \nL 185.062153 139.911869 \nL 187.451023 138.263843 \nL 189.831318 136.457882 \nL 192.167558 134.507625 \nL 194.418581 132.433344 \nL 196.538001 130.262675 \nL 198.475179 128.031042 \nL 200.176735 125.781539 \nL 201.588684 123.564108 \nL 202.659119 121.433963 \nL 203.341331 119.449095 \nL 203.597124 117.667042 \nL 203.400008 116.141118 \nL 202.73789 114.916461 \nL 201.614849 114.026438 \nL 200.051721 113.489892 \nL 198.085302 113.309738 \nL 195.766226 113.473063 \nL 193.155731 113.952808 \nL 190.321721 114.710769 \nL 187.334605 115.701385 \nL 184.263382 116.875806 \nL 178.118623 119.586189 \nL 172.307693 122.509861 \nL 167.107535 125.418637 \nL 162.660075 128.190788 \nL 159.003673 130.784035 \nL 156.109359 133.201795 \nL 153.911723 135.465901 \nL 152.331329 137.599593 \nL 151.289201 139.619249 \nL 150.715235 141.531841 \nL 150.552448 143.335343 \nL 150.758605 145.020165 \nL 151.306314 146.570593 \nL 152.182318 147.965691 \nL 153.386381 149.179532 \nL 154.929971 150.180783 \nL 156.834716 150.931671 \nL 159.130449 151.386571 \nL 161.85245 151.490434 \nL 165.03727 151.177424 \nL 168.71627 150.370589 \nL 170.747132 149.755279 \nL 172.90576 148.983704 \nL 175.189462 148.044611 \nL 177.592493 146.927275 \nL 180.105295 145.622101 \nL 182.713661 144.121435 \nL 185.397867 142.42055 \nL 188.131802 140.51885 \nL 190.882204 138.421238 \nL 193.608075 136.139621 \nL 196.26045 133.694425 \nL 198.782636 131.115931 \nL 201.111154 128.445256 \nL 203.177476 125.734673 \nL 204.910703 123.04694 \nL 206.241176 120.453442 \nL 207.104878 118.030938 \nL 207.448299 115.856954 \nL 207.233307 114.004183 \nL 206.441326 112.534414 \nL 205.076237 111.49287 \nL 203.165389 110.903843 \nL 200.758453 110.768447 \nL 197.924138 111.064926 \nL 194.74518 111.751543 \nL 191.312337 112.771483 \nL 187.718165 114.059027 \nL 184.051394 115.5458 \nL 176.81039 118.86265 \nL 170.08859 122.299484 \nL 164.182412 125.597947 \nL 159.213289 128.648534 \nL 155.180021 131.440134 \nL 152.009706 134.009366 \nL 149.596491 136.405158 \nL 147.826925 138.669907 \nL 146.594695 140.832539 \nL 145.808068 142.908268 \nL 145.392807 144.901156 \nL 145.292487 146.807284 \nL 145.467514 148.617427 \nL 145.893629 150.318849 \nL 146.560363 151.896219 \nL 147.469706 153.331715 \nL 148.635074 154.604476 \nL 150.080588 155.689496 \nL 151.840549 156.555979 \nL 153.958934 157.165222 \nL 156.488576 157.46801 \nL 159.489489 157.401666 \nL 163.025525 156.88705 \nL 165.013762 156.431789 \nL 167.158106 155.826191 \nL 169.464054 155.055028 \nL 171.935221 154.102106 \nL 174.572554 152.950588 \nL 177.373407 151.583501 \nL 180.330426 149.984489 \nL 183.430258 148.138868 \nL 186.652125 146.035022 \nL 189.966296 143.66621 \nL 193.332595 141.032765 \nL 196.699089 138.144657 \nL 200.0012 135.024227 \nL 203.161539 131.708909 \nL 206.090805 128.253466 \nL 208.690138 124.731225 \nL 210.855157 121.233658 \nL 212.481864 117.867671 \nL 213.474149 114.750163 \nL 213.752393 111.999824 \nL 213.262117 109.726743 \nL 211.981354 108.021115 \nL 209.925359 106.942902 \nL 207.147494 106.514479 \nL 203.735795 106.717993 \nL 199.805566 107.498098 \nL 195.489208 108.769641 \nL 190.924966 110.428686 \nL 186.246364 112.364673 \nL 181.573764 114.471509 \nL 172.631548 118.842878 \nL 164.655085 123.020602 \nL 157.891908 126.771082 \nL 152.366942 130.066547 \nL 147.976095 132.982596 \nL 144.557005 135.623152 \nL 141.93313 138.080687 \nL 139.937516 140.422104 \nL 138.42354 142.688641 \nL 137.268126 144.901427 \nL 136.370928 147.068127 \nL 135.338104 150.230434 \nL 132.558613 159.856254 \nL 131.471974 162.447262 \nL 130.588702 164.102625 \nL 129.538598 165.703793 \nL 128.281765 167.253165 \nL 126.771257 168.7515 \nL 124.951342 170.19626 \nL 122.755842 171.579152 \nL 120.106742 172.882339 \nL 116.913579 174.072744 \nL 113.074541 175.093535 \nL 110.878887 175.513127 \nL 108.480936 175.851778 \nL 105.867774 176.089428 \nL 103.027948 176.201348 \nL 99.952484 176.15738 \nL 96.636233 175.921177 \nL 93.079616 175.449538 \nL 89.290793 174.691992 \nL 85.288317 173.590808 \nL 81.104192 172.081744 \nL 76.787249 170.095901 \nL 72.406526 167.563092 \nL 68.054185 164.417197 \nL 63.84723 160.603787 \nL 59.92708 156.090098 \nL 56.455888 150.876726 \nL 53.608639 145.009757 \nL 51.560539 138.590981 \nL 50.470219 131.783082 \nL 50.460637 124.806666 \nL 51.600926 117.926936 \nL 53.893215 111.43012 \nL 57.268084 105.592852 \nL 61.590414 100.650322 \nL 66.674829 96.770085 \nL 72.307324 94.037107 \nL 78.268365 92.452477 \nL 84.352969 91.944389 \nL 90.384893 92.387293 \nL 96.224054 93.624098 \nL 101.767932 95.486872 \nL 106.948716 97.813222 \nL 111.728025 100.457208 \nL 116.090808 103.295142 \nL 120.039463 106.227315 \nL 123.588705 109.176883 \nL 126.761437 112.087205 \nL 129.585571 114.918467 \nL 132.091679 117.644251 \nL 136.275846 122.722341 \nL 139.559748 127.270733 \nL 142.16737 131.301614 \nL 146.099751 137.970217 \nL 148.503284 141.919143 \nL 150.05823 144.112736 \nL 151.678755 145.978069 \nL 153.440141 147.522433 \nL 155.409788 148.741535 \nL 156.492278 149.224459 \nL 157.649795 149.618895 \nL 158.889478 149.920777 \nL 160.218197 150.125186 \nL 161.642494 150.226353 \nL 163.168477 150.217654 \nL 164.801664 150.091633 \nL 166.546782 149.840045 \nL 168.407496 149.453955 \nL 170.386068 148.923871 \nL 172.482933 148.239958 \nL 174.696197 147.392363 \nL 177.021049 146.371621 \nL 179.449088 145.169236 \nL 181.967576 143.778395 \nL 184.558669 142.194875 \nL 187.198634 140.418115 \nL 189.857157 138.452469 \nL 192.496801 136.308547 \nL 195.072768 134.004578 \nL 197.533073 131.567665 \nL 199.819303 129.034717 \nL 201.868101 126.452832 \nL 203.613463 123.878848 \nL 204.989862 121.377875 \nL 205.936146 119.020597 \nL 206.399872 116.879366 \nL 206.341767 115.023319 \nL 205.739699 113.512972 \nL 204.591649 112.39497 \nL 202.917089 111.697806 \nL 200.7565 111.429205 \nL 198.168946 111.575748 \nL 195.227964 112.10477 \nL 192.016347 112.968246 \nL 188.620523 114.108019 \nL 185.125197 115.46146 \nL 178.140636 118.567365 \nL 171.566975 121.869578 \nL 165.722904 125.095097 \nL 160.757356 128.112631 \nL 156.694238 130.891492 \nL 153.480299 133.454644 \nL 151.023626 135.843136 \nL 149.220009 138.09563 \nL 147.968963 140.239723 \nL 147.182333 142.290316 \nL 146.788113 144.251353 \nL 146.731438 146.118484 \nL 146.974064 147.881512 \nL 147.493166 149.526065 \nL 148.279978 151.034421 \nL 149.338524 152.385534 \nL 150.68455 153.55438 \nL 152.34463 154.510682 \nL 154.355297 155.217138 \nL 156.761925 155.627169 \nL 159.616874 155.682363 \nL 162.976187 155.309902 \nL 166.893754 154.420624 \nL 169.075808 153.74977 \nL 171.411403 152.909007 \nL 173.901282 151.883272 \nL 176.543025 150.6574 \nL 179.33009 149.216775 \nL 182.250704 147.548209 \nL 185.286641 145.641133 \nL 188.411917 143.489101 \nL 191.591499 141.091638 \nL 194.780154 138.456376 \nL 197.921632 135.601377 \nL 200.948412 132.557445 \nL 203.782292 129.370143 \nL 206.336133 126.101021 \nL 208.516997 122.827631 \nL 210.230797 119.641743 \nL 211.388392 116.645376 \nL 211.912737 113.94453 \nL 211.74637 111.640895 \nL 210.858204 109.822435 \nL 209.248502 108.554193 \nL 206.950976 107.870932 \nL 204.031382 107.773162 \nL 200.582612 108.227473 \nL 196.716964 109.171186 \nL 192.556818 110.520487 \nL 188.225187 112.180324 \nL 183.83744 114.054413 \nL 175.282276 118.101894 \nL 167.486761 122.122678 \nL 160.761576 125.82981 \nL 155.19282 129.141357 \nL 150.724173 132.093937 \nL 147.226273 134.769434 \nL 144.543679 137.250734 \nL 142.522319 139.602383 \nL 141.023366 141.866529 \nL 139.928796 144.066135 \nL 139.14222 146.210394 \nL 138.587296 148.299967 \nL 138.064298 151.322951 \nL 137.792166 154.195757 \nL 137.672537 157.765288 \nL 137.769489 161.779793 \nL 138.07876 165.290418 \nL 138.497535 167.741699 \nL 138.945268 169.373471 \nL 139.548605 170.82497 \nL 140.361636 172.086987 \nL 141.0563 172.81435 \nL 141.906142 173.4406 \nL 142.947111 173.953036 \nL 144.223567 174.333783 \nL 145.790054 174.55792 \nL 147.713281 174.590864 \nL 150.074175 174.38477 \nL 152.969674 173.873618 \nL 156.513555 172.966714 \nL 160.834965 171.540516 \nL 166.072206 169.4294 \nL 169.076528 168.051638 \nL 172.35753 166.417543 \nL 175.925754 164.492032 \nL 179.78621 162.237585 \nL 183.93587 159.615492 \nL 188.360529 156.58794 \nL 193.031038 153.121165 \nL 197.898981 149.189973 \nL 202.892044 144.78381 \nL 207.90955 139.914386 \nL 212.81898 134.624536 \nL 217.454614 128.997393 \nL 221.619783 123.16422 \nL 225.094285 117.308391 \nL 227.648276 111.662459 \nL 229.062892 106.495269 \nL 229.156229 102.087644 \nL 227.810928 98.697908 \nL 224.997729 96.522737 \nL 220.788457 95.662262 \nL 215.353542 96.09965 \nL 208.94296 97.70234 \nL 201.85451 100.245637 \nL 194.396956 103.452136 \nL 186.856578 107.035738 \nL 172.429463 114.358501 \nL 154.313224 123.580592 \nL 144.995716 128.079864 \nL 127.554656 136.356436 \nL 124.071211 138.30185 \nL 121.249044 140.110111 \nL 117.771335 142.681682 \nL 112.661192 146.608983 \nL 110.530845 147.981232 \nL 108.237519 149.17942 \nL 105.732428 150.152535 \nL 102.985774 150.841398 \nL 99.989037 151.178007 \nL 98.401111 151.190599 \nL 96.759481 151.085881 \nL 95.071389 150.853408 \nL 93.346544 150.482742 \nL 91.597346 149.963784 \nL 89.839084 149.287199 \nL 88.090039 148.444945 \nL 86.371519 147.430921 \nL 84.707736 146.241691 \nL 83.125519 144.877284 \nL 81.653816 143.342007 \nL 80.322957 141.645217 \nL 79.163695 139.80197 \nL 78.205998 137.833456 \nL 77.477688 135.767084 \nL 77.002966 133.636197 \nL 76.800964 131.479303 \nL 76.884426 129.338816 \nL 77.258669 127.25938 \nL 77.920956 125.285838 \nL 78.86034 123.461077 \nL 80.058048 121.823859 \nL 81.488345 120.406932 \nL 83.11983 119.235576 \nL 84.917021 118.326673 \nL 86.842069 117.688427 \nL 88.856451 117.320665 \nL 90.922531 117.215663 \nL 93.004839 117.359314 \nL 95.071076 117.732562 \nL 97.092776 118.312883 \nL 99.045644 119.075682 \nL 100.909666 119.995583 \nL 102.668959 121.047471 \nL 104.311499 122.207302 \nL 105.828722 123.452683 \nL 107.215082 124.763239 \nL 108.467575 126.120793 \nL 109.585283 127.509402 \nL 110.568939 128.915304 \nL 112.142929 131.733913 \nL 113.214466 134.50369 \nL 113.814267 137.174476 \nL 113.972627 139.712225 \nL 113.715531 142.093124 \nL 113.062631 144.298679 \nL 112.026668 146.311582 \nL 110.614088 148.112218 \nL 108.826719 149.675543 \nL 107.792463 150.358192 \nL 106.664579 150.968206 \nL 105.443459 151.499696 \nL 104.129978 151.945939 \nL 102.725717 152.299348 \nL 101.233209 152.551446 \nL 99.656225 152.692874 \nL 98.00008 152.713428 \nL 96.271977 152.602204 \nL 94.481351 152.34776 \nL 92.640233 151.938399 \nL 90.763579 151.362571 \nL 88.869569 150.609386 \nL 86.979813 149.669273 \nL 85.11944 148.534771 \nL 83.317009 147.201461 \nL 81.604197 145.668979 \nL 80.015214 143.942069 \nL 78.585916 142.031581 \nL 77.352596 139.955323 \nL 76.35049 137.738606 \nL 75.612038 135.41437 \nL 75.165047 133.022767 \nL 75.030868 130.610112 \nL 75.222797 128.227215 \nL 75.744868 125.927131 \nL 76.591188 123.76253 \nL 77.745956 121.782914 \nL 79.184145 120.031923 \nL 80.872819 118.545107 \nL 82.772933 117.348296 \nL 84.841425 116.456757 \nL 87.033406 115.875187 \nL 89.304227 115.598436 \nL 91.611268 115.612831 \nL 93.915345 115.897874 \nL 96.181708 116.428133 \nL 98.380596 117.175102 \nL 100.487449 118.108876 \nL 102.482802 119.199609 \nL 104.351964 120.4186 \nL 106.084542 121.739104 \nL 107.673889 123.136841 \nL 109.116513 124.590244 \nL 110.411505 126.080542 \nL 111.55999 127.591674 \nL 112.564634 129.110105 \nL 113.429206 130.624606 \nL 114.756536 133.606758 \nL 115.58139 136.483993 \nL 115.94258 139.22208 \nL 115.873548 141.799634 \nL 115.399762 144.202401 \nL 114.53772 146.418676 \nL 113.295157 148.435534 \nL 111.67223 150.235535 \nL 110.716615 151.046768 \nL 109.663671 151.793628 \nL 108.512431 152.471297 \nL 107.262069 153.074092 \nL 105.912093 153.595388 \nL 104.462568 154.027523 \nL 102.914374 154.361747 \nL 101.2695 154.588168 \nL 99.531392 154.695752 \nL 97.705328 154.672372 \nL 95.798844 154.504917 \nL 93.822176 154.179506 \nL 91.788711 153.681832 \nL 89.715437 152.997626 \nL 87.623321 152.113309 \nL 85.537594 151.016816 \nL 83.487885 149.698639 \nL 81.508114 148.153012 \nL 79.636087 146.379252 \nL 77.91273 144.383142 \nL 76.3809 142.178249 \nL 75.083785 139.787 \nL 74.062894 137.241342 \nL 73.355781 134.58281 \nL 72.993629 131.861797 \nL 72.998951 129.135967 \nL 73.383644 126.467813 \nL 74.147685 123.921518 \nL 75.278593 121.55936 \nL 76.751873 119.438087 \nL 78.532309 117.605598 \nL 80.576049 116.098381 \nL 82.833209 114.939947 \nL 85.250696 114.14038 \nL 87.774972 113.696964 \nL 90.354495 113.595691 \nL 92.941686 113.813403 \nL 95.494311 114.320234 \nL 97.976306 115.082086 \nL 100.358075 116.062909 \nL 102.616391 117.2266 \nL 104.733976 118.538519 \nL 106.698892 119.966533 \nL 108.503813 121.481671 \nL 110.145274 123.058461 \nL 111.622936 124.674968 \nL 112.938889 126.312694 \nL 114.097043 127.9563 \nL 115.102584 129.593293 \nL 115.961522 131.213671 \nL 117.265524 134.374895 \nL 118.060819 137.396638 \nL 118.394624 140.254895 \nL 118.305452 142.937458 \nL 117.821082 145.438167 \nL 116.957975 147.752538 \nL 115.721694 149.874222 \nL 114.108099 151.791917 \nL 112.105285 153.486349 \nL 110.952758 154.240848 \nL 109.696449 154.927047 \nL 108.334182 155.538807 \nL 106.86409 156.068844 \nL 105.284875 156.508605 \nL 103.596093 156.848161 \nL 101.798504 157.076125 \nL 99.894475 157.17961 \nL 97.888448 157.144236 \nL 95.787457 156.954204 \nL 93.601707 156.592513 \nL 91.345162 156.041297 \nL 89.036164 155.282358 \nL 86.69798 154.297928 \nL 84.359258 153.071676 \nL 82.054286 151.59001 \nL 79.822984 149.843625 \nL 77.710481 147.829296 \nL 75.766222 145.551765 \nL 74.042482 143.025581 \nL 72.59229 140.276679 \nL 71.466784 137.343396 \nL 70.712138 134.276624 \nL 70.366307 131.138889 \nL 70.455914 128.002175 \nL 70.993691 124.944512 \nL 71.976819 122.045577 \nL 73.386453 119.381736 \nL 75.188584 117.021093 \nL 77.336125 115.019165 \nL 79.772024 113.415743 \nL 82.432926 112.233249 \nL 85.253048 111.476738 \nL 88.167722 111.135342 \nL 91.116393 111.184829 \nL 94.044815 111.590821 \nL 96.906435 112.312243 \nL 99.663002 113.304564 \nL 102.284559 114.522596 \nL 104.748943 115.922711 \nL 107.040998 117.464414 \nL 109.15161 119.111331 \nL 111.076696 120.831685 \nL 112.816213 122.598391 \nL 114.373241 124.388884 \nL 115.753176 126.18475 \nL 116.963028 127.971276 \nL 118.01083 129.736961 \nL 118.905166 131.473023 \nL 120.268248 134.832035 \nL 121.119102 138.01614 \nL 121.516091 141.012196 \nL 121.505586 143.818079 \nL 121.120498 146.437045 \nL 120.380102 148.873651 \nL 119.290607 151.130704 \nL 117.846196 153.206651 \nL 116.030456 155.093029 \nL 113.818304 156.771573 \nL 112.55402 157.523691 \nL 111.178755 158.210779 \nL 109.688397 158.826125 \nL 108.079099 159.361623 \nL 106.347553 159.80759 \nL 104.491324 160.152603 \nL 102.509244 160.383342 \nL 100.401913 160.484474 \nL 98.17226 160.438576 \nL 95.826224 160.226155 \nL 93.373496 159.825798 \nL 90.828352 159.2145 \nL 88.210515 158.368241 \nL 85.545993 157.262874 \nL 82.867835 155.875375 \nL 80.216648 154.185519 \nL 77.640778 152.177987 \nL 75.195948 149.844852 \nL 72.944217 147.188337 \nL 70.952075 144.223579 \nL 69.287625 140.981077 \nL 68.016886 137.50838 \nL 67.199399 133.870511 \nL 66.883521 130.148724 \nL 67.101954 126.437316 \nL 67.868116 122.838532 \nL 69.173995 119.455973 \nL 70.989849 116.387222 \nL 73.265962 113.716706 \nL 75.936229 111.509779 \nL 78.923051 109.808841 \nL 82.14287 108.63193 \nL 85.51161 107.973786 \nL 88.949384 107.808933 \nL 92.384111 108.096142 \nL 95.753845 108.783423 \nL 99.007898 109.812984 \nL 102.106932 111.125519 \nL 105.022306 112.663631 \nL 107.73493 114.374224 \nL 110.233882 116.210007 \nL 112.514946 118.130162 \nL 114.579209 120.100451 \nL 116.431788 122.092881 \nL 118.080723 124.085139 \nL 119.536038 126.059865 \nL 120.808979 128.003936 \nL 121.911402 129.907743 \nL 123.652374 133.569891 \nL 124.850325 137.017017 \nL 125.585706 140.242719 \nL 125.924268 143.253549 \nL 125.915786 146.06251 \nL 125.594203 148.684897 \nL 124.978457 151.135611 \nL 124.073553 153.427294 \nL 122.871622 155.568843 \nL 121.352864 157.563907 \nL 119.486459 159.409049 \nL 117.231621 161.091268 \nL 114.539187 162.584471 \nL 113.011861 163.2473 \nL 111.354394 163.844633 \nL 109.559868 164.367104 \nL 107.621825 164.803319 \nL 105.534635 165.139582 \nL 103.293996 165.359598 \nL 100.897538 165.444202 \nL 98.345583 165.371134 \nL 95.642052 165.114895 \nL 92.795546 164.646773 \nL 89.820578 163.935099 \nL 86.738916 162.945838 \nL 83.580985 161.64366 \nL 80.38721 159.993594 \nL 77.209078 157.963383 \nL 74.109761 155.526634 \nL 71.163913 152.666738 \nL 68.456357 149.381343 \nL 66.079348 145.687074 \nL 64.128231 141.623811 \nL 62.695476 137.257749 \nL 61.863478 132.682255 \nL 61.696839 128.015672 \nL 62.235164 123.395588 \nL 63.487603 118.969743 \nL 65.430234 114.884398 \nL 68.006981 111.271935 \nL 71.134048 108.239517 \nL 74.707225 105.860841 \nL 78.610796 104.172055 \nL 82.726664 103.172313 \nL 86.942392 102.828273 \nL 91.157315 103.081329 \nL 95.286356 103.856056 \nL 99.261669 105.068505 \nL 103.032522 106.633356 \nL 106.563927 108.469369 \nL 109.834558 110.503028 \nL 112.834382 112.670529 \nL 115.5623 114.918452 \nL 118.023983 117.203514 \nL 120.230009 119.491689 \nL 122.194305 121.757043 \nL 123.932896 123.980477 \nL 125.462933 126.148467 \nL 127.967245 130.285343 \nL 129.842927 134.132192 \nL 131.21258 137.686592 \nL 132.180711 140.96363 \nL 132.832525 143.986513 \nL 133.234834 146.781175 \nL 133.43798 149.373327 \nL 133.444962 152.933766 \nL 133.155512 156.163272 \nL 132.595132 159.121099 \nL 132.065872 160.966486 \nL 131.39835 162.725131 \nL 130.573161 164.407569 \nL 129.563743 166.02263 \nL 128.335684 167.577098 \nL 126.845719 169.074978 \nL 125.040504 170.516158 \nL 122.855274 171.894164 \nL 120.212678 173.192565 \nL 117.022284 174.379391 \nL 113.181715 175.39866 \nL 110.983346 175.818454 \nL 108.581121 176.158004 \nL 105.961886 176.397249 \nL 103.113904 176.511411 \nL 100.027884 176.470217 \nL 96.698339 176.237117 \nL 93.125331 175.768598 \nL 89.316686 175.013724 \nL 85.29066 173.914133 \nL 81.079072 172.404743 \nL 76.730733 170.415585 \nL 72.314928 167.875184 \nL 67.924426 164.715942 \nL 63.677303 160.881883 \nL 59.716595 156.33877 \nL 56.206646 151.086089 \nL 53.325121 145.169477 \nL 51.250219 138.691265 \nL 50.143522 131.81596 \nL 50.130453 124.767325 \nL 51.281654 117.81487 \nL 53.599455 111.249761 \nL 57.013169 105.353442 \nL 61.385126 100.364998 \nL 66.526522 96.454326 \nL 72.219607 93.706909 \nL 78.241336 92.122616 \nL 84.383869 91.627145 \nL 90.468962 92.091739 \nL 96.355387 93.355974 \nL 101.940214 95.24889 \nL 107.155768 97.60561 \nL 111.964159 100.278378 \nL 116.351023 103.142321 \nL 120.319505 106.09706 \nL 123.885068 109.06551 \nL 127.071308 111.991053 \nL 129.906754 114.834071 \nL 132.422517 117.568447 \nL 136.6228 122.655579 \nL 139.920896 127.204287 \nL 142.542886 131.228811 \nL 149.737559 142.913554 \nL 151.346985 144.913133 \nL 153.066025 146.584647 \nL 154.965784 147.928862 \nL 157.11064 148.934478 \nL 158.293725 149.30334 \nL 159.56002 149.577558 \nL 160.91621 149.752075 \nL 162.368585 149.821001 \nL 163.922925 149.777607 \nL 165.584323 149.614371 \nL 167.356971 149.323046 \nL 169.243864 148.89476 \nL 171.246437 148.320193 \nL 173.364136 147.589823 \nL 175.593882 146.694284 \nL 177.929481 145.624822 \nL 180.360941 144.373909 \nL 182.873743 142.936017 \nL 185.448099 141.308559 \nL 188.058225 139.492988 \nL 190.671726 137.496041 \nL 193.249212 135.331049 \nL 195.744202 133.019196 \nL 198.103526 130.590642 \nL 200.268321 128.08518 \nL 202.175779 125.552333 \nL 203.761651 123.050554 \nL 204.96357 120.645351 \nL 205.724966 118.406256 \nL 205.999329 116.40271 \nL 205.754344 114.699148 \nL 204.975414 113.349816 \nL 203.66798 112.394017 \nL 201.858226 111.852559 \nL 199.591956 111.725955 \nL 196.931671 111.994811 \nL 193.952223 112.622343 \nL 190.735614 113.558582 \nL 187.365646 114.745565 \nL 183.923012 116.122705 \nL 177.104613 119.219657 \nL 170.74455 122.465631 \nL 165.127556 125.617303 \nL 160.37979 128.562717 \nL 156.513125 131.27997 \nL 153.470259 133.793384 \nL 151.160227 136.141556 \nL 149.482466 138.359407 \nL 148.341324 140.470886 \nL 147.653785 142.487883 \nL 147.352839 144.412012 \nL 147.388287 146.237108 \nL 147.726179 147.951386 \nL 148.347663 149.53888 \nL 149.247683 150.980036 \nL 150.433762 152.251524 \nL 151.924936 153.325417 \nL 153.75076 154.167725 \nL 155.950202 154.736501 \nL 158.57004 154.979529 \nL 161.662192 154.831871 \nL 165.279084 154.213758 \nL 167.29899 153.699038 \nL 169.465802 153.029744 \nL 171.781928 152.191848 \nL 174.247368 151.170912 \nL 176.858921 149.952544 \nL 179.609244 148.523041 \nL 182.485799 146.870292 \nL 185.46967 144.984942 \nL 188.534336 142.861877 \nL 191.644489 140.501985 \nL 194.754988 137.914216 \nL 197.810179 135.117759 \nL 200.743779 132.144159 \nL 203.47959 129.039113 \nL 205.933324 125.863472 \nL 208.015744 122.693032 \nL 209.637218 119.616611 \nL 210.713573 116.732067 \nL 211.172861 114.140238 \nL 210.962333 111.937045 \nL 210.054683 110.204712 \nL 208.452492 109.003287 \nL 206.189948 108.364015 \nL 203.331322 108.285891 \nL 199.966215 108.736191 \nL 196.202238 109.654963 \nL 192.156293 110.962664 \nL 187.945757 112.569392 \nL 183.680776 114.384093 \nL 175.359595 118.311939 \nL 167.765588 122.231747 \nL 161.202116 125.865918 \nL 155.758107 129.130307 \nL 151.384829 132.054401 \nL 147.961683 134.712473 \nL 145.34142 137.181369 \nL 143.37699 139.521521 \nL 141.935407 141.772562 \nL 140.903535 143.955988 \nL 140.189225 146.080128 \nL 139.720022 148.145008 \nL 139.440787 150.146184 \nL 139.292894 153.014641 \nL 139.396088 155.703965 \nL 139.708025 158.195612 \nL 140.221073 160.474161 \nL 140.956107 162.524777 \nL 141.591739 163.756502 \nL 142.367359 164.871687 \nL 143.309904 165.860465 \nL 144.453275 166.709284 \nL 145.839439 167.399465 \nL 147.519738 167.905296 \nL 149.556279 168.191493 \nL 152.02322 168.209838 \nL 155.007496 167.894803 \nL 158.608241 167.158088 \nL 162.933491 165.882328 \nL 168.091808 163.914973 \nL 171.013465 162.613724 \nL 174.175073 161.065068 \nL 177.580368 159.239982 \nL 181.227023 157.108642 \nL 185.104428 154.64188 \nL 189.191052 151.813337 \nL 193.451418 148.602489 \nL 197.832873 144.998675 \nL 202.2624 141.006137 \nL 206.643949 136.649933 \nL 210.856987 131.982227 \nL 214.75709 127.088088 \nL 218.179632 122.089456 \nL 220.94742 117.145446 \nL 222.882812 112.447127 \nL 223.823977 108.205263 \nL 223.64378 104.630833 \nL 222.26844 101.910119 \nL 219.692103 100.178487 \nL 215.983508 99.498748 \nL 211.282157 99.849941 \nL 205.783951 101.130269 \nL 199.718971 103.173854 \nL 193.326244 105.777136 \nL 186.830605 108.72811 \nL 174.263644 114.928197 \nL 142.927243 131.027145 \nL 137.64928 133.902425 \nL 133.538203 136.386146 \nL 130.312149 138.643257 \nL 127.724514 140.777912 \nL 125.568237 142.845444 \nL 121.899977 146.842776 \nL 119.22565 149.68789 \nL 117.300553 151.471947 \nL 115.173242 153.130825 \nL 112.779126 154.626795 \nL 110.062282 155.912668 \nL 106.976629 156.928276 \nL 105.284685 157.311361 \nL 105.284685 157.311361 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd76682be7c\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(results_test_np[:,0], results_test_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(results_test_np[:,0], results_test_np[:,1], results_test_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file

From 0108d71f27e3e7ddd9a4d7090ed1ac70a1958cd9 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Tue, 24 Aug 2021 11:28:45 -0400
Subject: [PATCH 38/73] Update Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb

---
 .../lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb   | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb b/examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb
index 7d0c88ef..a0a03744 100644
--- a/examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb
+++ b/examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb
@@ -580,9 +580,7 @@
     }
    ],
    "source": [
-    "ode_solver_train.coeffs\n",
-    "\n",
-    "# The parameters are significantly closer, differing by  0.06 at most"
+    "ode_solver_train.coeffs"
    ]
   },
   {

From db86c56c494658644459dc73a497d5c1dd0c56a1 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Tue, 24 Aug 2021 11:55:58 -0400
Subject: [PATCH 39/73] Created datasets using sin

---
 .../Cos_wt_sin_dataset_fitRandomSample.ipynb  | 700 ++++++++++++++++
 ...a_Cos_wt_sin_dataset_fitRandomSample.ipynb | 778 ++++++++++++++++++
 2 files changed, 1478 insertions(+)
 create mode 100644 examples/ode/DuffingEquation/Cos_wt_sin_dataset_fitRandomSample.ipynb
 create mode 100644 examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb

diff --git a/examples/ode/DuffingEquation/Cos_wt_sin_dataset_fitRandomSample.ipynb b/examples/ode/DuffingEquation/Cos_wt_sin_dataset_fitRandomSample.ipynb
new file mode 100644
index 00000000..b60e77cd
--- /dev/null
+++ b/examples/ode/DuffingEquation/Cos_wt_sin_dataset_fitRandomSample.ipynb
@@ -0,0 +1,700 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "import numpy as np\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# x'(t) = cos(5t)\n",
+    "dt = 0.01\n",
+    "\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return torch.cos(coeffs[\"w\"]*prev_val[\"t\"])\n",
+    "\n",
+    "def t_prime(prev_val, coeffs):\n",
+    "    return 1\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"t\": t_prime}\n",
+    "\n",
+    "# Initial conditions [0,0,0]\n",
+    "ode_init = {\"x\": 0, \"t\": 0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"w\": 5.}\n"
+   ]
+  },
+  {
+   "source": [
+    "# Dataset: x(t) = 0.2 sin(5t)"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "result = torch.cat((0.2*torch.sin(5*torch.arange(0,10,dt).view(1000,1)), torch.arange(0,10,dt).t().view(1000,1)), dim=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000,  0.0000],\n",
+       "        [ 0.0100,  0.0100],\n",
+       "        [ 0.0200,  0.0200],\n",
+       "        ...,\n",
+       "        [-0.0807,  9.9700],\n",
+       "        [-0.0715,  9.9800],\n",
+       "        [-0.0621,  9.9900]])"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 22
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:48:52.331100</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m53032947b7\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m53032947b7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073946\" xlink:href=\"#m53032947b7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.892696 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.069853\" xlink:href=\"#m53032947b7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.888603 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.065759\" xlink:href=\"#m53032947b7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.884509 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.061666\" xlink:href=\"#m53032947b7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.880416 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.057572\" xlink:href=\"#m53032947b7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.695072 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m22e828f50d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"261.217179\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.20 -->\n      <g transform=\"translate(7.2 265.016398)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"230.97696\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.15 -->\n      <g transform=\"translate(7.2 234.776178)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"200.73674\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.10 -->\n      <g transform=\"translate(7.2 204.535959)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"170.496521\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −0.05 -->\n      <g transform=\"translate(7.2 174.29574)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"140.256302\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055521)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"110.016083\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.05 -->\n      <g transform=\"translate(15.579688 113.815301)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"79.775863\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.10 -->\n      <g transform=\"translate(15.579688 83.575082)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"49.535644\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.15 -->\n      <g transform=\"translate(15.579688 53.334863)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"19.295425\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 0.20 -->\n      <g transform=\"translate(15.579688 23.094644)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p84ad22481e)\" d=\"M 61.07804 140.256302 \nL 64.002855 87.64249 \nL 65.627753 62.331169 \nL 66.927671 45.504399 \nL 67.90261 35.332032 \nL 68.877548 27.516035 \nL 69.527507 23.703459 \nL 70.177467 21.055433 \nL 70.827425 19.598434 \nL 71.152405 19.321577 \nL 71.477385 19.347001 \nL 71.802364 19.674633 \nL 72.127344 20.303664 \nL 72.777302 22.458835 \nL 73.427262 25.791011 \nL 74.077221 30.266892 \nL 75.05216 39.024294 \nL 76.027099 50.055136 \nL 77.327016 67.864588 \nL 78.951914 94.09025 \nL 81.226771 135.226657 \nL 84.476567 193.783982 \nL 86.101465 218.9565 \nL 87.401382 235.637019 \nL 88.376322 245.68289 \nL 89.351259 253.361079 \nL 90.001218 257.077062 \nL 90.651176 259.6258 \nL 91.301137 260.981843 \nL 91.626116 261.207898 \nL 91.951095 261.131636 \nL 92.276074 260.753246 \nL 92.601053 260.073684 \nL 93.251012 257.818557 \nL 93.900972 254.388769 \nL 94.550931 249.818647 \nL 95.525868 240.928124 \nL 96.500806 229.776716 \nL 97.800727 211.830732 \nL 99.425623 185.480795 \nL 101.700481 144.269689 \nL 104.950277 85.818574 \nL 106.575174 60.786626 \nL 107.875094 44.253521 \nL 108.850032 34.334858 \nL 109.82497 26.794998 \nL 110.474928 23.175889 \nL 111.124887 20.726611 \nL 111.449866 19.94876 \nL 111.774845 19.471622 \nL 112.099824 19.296379 \nL 112.424803 19.423479 \nL 112.749787 19.852599 \nL 113.074766 20.582657 \nL 113.724724 22.937595 \nL 114.374683 26.464698 \nL 115.024641 31.128818 \nL 115.999579 40.151821 \nL 116.974516 51.42294 \nL 118.274437 69.50422 \nL 119.899333 95.976558 \nL 122.499171 143.306835 \nL 125.423984 195.600206 \nL 127.048884 220.489815 \nL 128.348801 236.874289 \nL 129.323738 246.665076 \nL 130.298676 254.066093 \nL 130.948635 257.588068 \nL 131.598601 259.937751 \nL 131.92358 260.665151 \nL 132.248559 261.091585 \nL 132.573538 261.216 \nL 132.898518 261.03807 \nL 133.223497 260.558256 \nL 133.548476 259.777756 \nL 134.198435 257.323205 \nL 134.848393 253.698959 \nL 135.498351 248.941264 \nL 136.473289 239.786411 \nL 137.448227 228.396259 \nL 138.748144 210.181173 \nL 140.373048 183.587944 \nL 142.972881 136.189183 \nL 145.572715 89.432529 \nL 147.197619 63.856085 \nL 148.497536 46.747888 \nL 149.472474 36.331305 \nL 150.447411 28.248644 \nL 151.09737 24.248739 \nL 151.747328 21.407967 \nL 152.397287 19.754671 \nL 152.722266 19.378967 \nL 153.047245 19.305382 \nL 153.372224 19.534123 \nL 153.697203 20.064604 \nL 154.347162 22.024722 \nL 154.997128 25.166226 \nL 155.647086 29.457616 \nL 156.622024 37.954076 \nL 157.596962 48.747958 \nL 158.896879 66.287951 \nL 160.521775 92.266127 \nL 162.796629 133.248893 \nL 166.046429 192.001068 \nL 167.671325 217.44221 \nL 168.971242 234.406481 \nL 169.94618 244.697973 \nL 170.921118 252.643945 \nL 171.571076 256.547788 \nL 172.221035 259.289642 \nL 172.871001 260.842215 \nL 173.19598 261.167162 \nL 173.520959 261.1899 \nL 173.845938 260.910357 \nL 174.170918 260.329263 \nL 174.820876 258.268883 \nL 175.470835 255.029353 \nL 176.120793 250.643046 \nL 177.095731 242.012311 \nL 178.070668 231.096376 \nL 179.370585 213.417521 \nL 180.995489 187.311123 \nL 183.270344 146.248269 \nL 186.520136 87.594211 \nL 188.145032 62.290155 \nL 189.444957 45.471009 \nL 190.419894 35.305338 \nL 191.39484 27.496533 \nL 192.044798 23.689049 \nL 192.694757 21.046312 \nL 193.344715 19.594649 \nL 193.669687 19.320477 \nL 193.994673 19.348578 \nL 194.319645 19.678896 \nL 194.644632 20.310603 \nL 195.29459 22.471092 \nL 195.944549 25.808387 \nL 196.594507 30.28927 \nL 197.569437 39.053701 \nL 198.544383 50.090915 \nL 199.844299 67.907662 \nL 201.469203 94.139948 \nL 203.744066 135.280431 \nL 206.993858 193.832211 \nL 208.618746 218.997344 \nL 209.918663 235.670004 \nL 210.893609 245.709269 \nL 211.868538 253.380068 \nL 212.518497 257.090959 \nL 213.168455 259.634461 \nL 213.818414 260.985186 \nL 214.143401 261.208547 \nL 214.468372 261.129608 \nL 214.793359 260.748542 \nL 215.118331 260.06632 \nL 215.768289 257.805922 \nL 216.418248 254.371068 \nL 217.068222 249.795854 \nL 218.043167 240.898212 \nL 219.018097 229.740477 \nL 220.318014 211.787428 \nL 221.942918 185.430714 \nL 224.217764 144.215956 \nL 227.467557 85.770773 \nL 229.092461 60.746097 \nL 230.392377 44.220923 \nL 231.367307 34.30902 \nL 232.342253 26.77637 \nL 232.992227 23.162325 \nL 233.642185 20.718319 \nL 233.967157 19.94319 \nL 234.292144 19.46873 \nL 234.617115 19.29618 \nL 234.942102 19.425975 \nL 235.267073 19.857772 \nL 235.59206 20.590525 \nL 236.242019 22.95069 \nL 236.891977 26.482984 \nL 237.541936 31.15207 \nL 238.516866 40.181941 \nL 239.491811 51.459512 \nL 240.791728 69.547934 \nL 242.416616 96.026594 \nL 245.01645 143.360465 \nL 247.616284 190.204252 \nL 249.241203 215.907571 \nL 250.54112 233.150781 \nL 251.51605 243.685163 \nL 252.490996 251.896754 \nL 253.140954 255.987395 \nL 253.790912 258.92167 \nL 254.440871 260.670279 \nL 254.765842 261.094019 \nL 255.090829 261.215748 \nL 255.415801 261.035141 \nL 255.740788 260.552633 \nL 256.065759 259.769474 \nL 256.715718 257.30966 \nL 257.365676 253.680286 \nL 258.015635 248.917706 \nL 258.99058 239.755778 \nL 259.96551 228.359588 \nL 261.265427 210.137301 \nL 262.890331 183.537962 \nL 265.490164 136.135451 \nL 268.090014 89.383538 \nL 269.714902 63.814592 \nL 271.014819 46.713938 \nL 271.989764 36.303809 \nL 272.964694 28.228457 \nL 273.614653 24.233526 \nL 274.264611 21.397999 \nL 274.91457 19.749985 \nL 275.239557 19.376975 \nL 275.564528 19.306085 \nL 275.889515 19.537502 \nL 276.214487 20.070642 \nL 276.864445 22.036114 \nL 277.514403 25.182709 \nL 278.164362 29.479056 \nL 279.139307 37.982645 \nL 280.114237 48.782817 \nL 281.414154 66.330223 \nL 283.039073 92.315695 \nL 285.31392 133.302566 \nL 288.563712 192.049653 \nL 290.188616 217.483595 \nL 291.488533 234.440223 \nL 292.463463 244.724965 \nL 293.438409 252.663817 \nL 294.088367 256.562505 \nL 294.738325 259.299231 \nL 295.388284 260.846415 \nL 295.713255 261.168685 \nL 296.038242 261.188738 \nL 296.363214 260.906554 \nL 296.688201 260.322747 \nL 297.338159 258.257122 \nL 297.988133 255.012365 \nL 298.638092 250.620947 \nL 299.613022 241.983237 \nL 300.587967 231.060714 \nL 301.887884 213.374334 \nL 303.512772 187.261803 \nL 305.787635 146.194342 \nL 309.037427 87.545604 \nL 310.662315 62.249239 \nL 311.962232 45.437762 \nL 312.937177 35.278616 \nL 313.912123 27.477084 \nL 314.562081 23.674764 \nL 315.21204 21.037174 \nL 315.861998 19.590873 \nL 316.186985 19.319396 \nL 316.511957 19.350182 \nL 316.836944 19.683204 \nL 317.161915 20.31757 \nL 317.811873 22.483295 \nL 318.461832 25.825727 \nL 319.11179 30.311674 \nL 320.086736 39.083289 \nL 321.061666 50.126766 \nL 322.361583 67.950754 \nL 323.986486 94.189656 \nL 326.261333 135.333917 \nL 329.511141 193.880616 \nL 331.136014 219.037629 \nL 332.435931 235.702763 \nL 333.410892 245.735594 \nL 334.385822 253.399093 \nL 335.035765 257.104811 \nL 335.685738 259.643121 \nL 336.335681 260.988485 \nL 336.660668 261.209178 \nL 336.985655 261.127562 \nL 337.310642 260.743801 \nL 337.635598 260.058975 \nL 338.285572 257.793286 \nL 338.935515 254.353296 \nL 339.58552 249.772945 \nL 340.56045 240.868499 \nL 341.53538 229.704293 \nL 342.835297 211.744255 \nL 344.460201 185.38084 \nL 346.735048 144.162222 \nL 349.984855 85.722575 \nL 351.609759 60.705245 \nL 352.909676 44.18811 \nL 353.884606 34.282876 \nL 354.859536 26.757769 \nL 355.50951 23.148843 \nL 356.159453 20.710145 \nL 356.48444 19.937648 \nL 356.809427 19.465873 \nL 357.134383 19.296 \nL 357.45937 19.428463 \nL 357.784357 19.862963 \nL 358.109344 20.598348 \nL 358.759287 22.963767 \nL 359.40926 26.501252 \nL 360.059203 31.175186 \nL 361.034133 40.212024 \nL 362.009094 51.496183 \nL 363.309011 69.591374 \nL 364.933884 96.076211 \nL 367.533718 143.413979 \nL 370.133552 190.252792 \nL 371.758486 215.949514 \nL 373.058403 233.185055 \nL 374.033333 243.713029 \nL 375.008294 251.917527 \nL 375.658237 256.003013 \nL 376.308211 258.932133 \nL 376.958154 260.67538 \nL 377.283141 261.096434 \nL 377.608128 261.215468 \nL 377.933084 261.032176 \nL 378.258071 260.546973 \nL 378.583058 259.761137 \nL 379.233001 257.296096 \nL 379.882975 253.661513 \nL 380.532918 248.893977 \nL 381.507879 239.725065 \nL 382.482808 228.322583 \nL 383.782725 210.093217 \nL 385.407598 183.487971 \nL 385.732585 177.787809 \nL 385.732585 177.787809 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965313 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p84ad22481e\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,1], result_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"w\": 1.}\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.0746, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(1.6998e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(2.7705, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(4.8719e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(3.9035, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(6.1404e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.8478, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(1.2617e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0906, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(1.4774e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(2.8040, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(6.7173e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(2.9461, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(2.2041e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.6637, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(1.8713e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(6.2272, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(3.9529, requires_grad=True)}\n",
+      "Epoch: 10\t Loss: tensor(9.9100e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.6195, requires_grad=True)}\n",
+      "Epoch: 11\t Loss: tensor(9.5652e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0657, requires_grad=True)}\n",
+      "Epoch: 12\t Loss: tensor(1.0789e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.1469, requires_grad=True)}\n",
+      "Epoch: 13\t Loss: tensor(1.3551e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0046, requires_grad=True)}\n",
+      "Epoch: 14\t Loss: tensor(1.2483e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0141, requires_grad=True)}\n",
+      "Epoch: 15\t Loss: tensor(9.7401e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.8922, requires_grad=True)}\n",
+      "Epoch: 16\t Loss: tensor(1.0933e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.1778, requires_grad=True)}\n",
+      "Epoch: 17\t Loss: tensor(5.0590e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.8981, requires_grad=True)}\n",
+      "Epoch: 18\t Loss: tensor(6.6089e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0579, requires_grad=True)}\n",
+      "Epoch: 19\t Loss: tensor(1.2787e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9825, requires_grad=True)}\n",
+      "Epoch: 20\t Loss: tensor(2.4039e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0293, requires_grad=True)}\n",
+      "Epoch: 21\t Loss: tensor(1.7594e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9790, requires_grad=True)}\n",
+      "Epoch: 22\t Loss: tensor(1.7752e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0099, requires_grad=True)}\n",
+      "Epoch: 23\t Loss: tensor(7.3834e-11, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0016, requires_grad=True)}\n",
+      "Epoch: 24\t Loss: tensor(8.8376e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0044, requires_grad=True)}\n",
+      "Epoch: 25\t Loss: tensor(4.2443e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0026, requires_grad=True)}\n",
+      "Epoch: 26\t Loss: tensor(2.5877e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0041, requires_grad=True)}\n",
+      "Epoch: 27\t Loss: tensor(2.5798e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0035, requires_grad=True)}\n",
+      "Epoch: 28\t Loss: tensor(1.3090e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0038, requires_grad=True)}\n",
+      "Epoch: 29\t Loss: tensor(2.6411e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0032, requires_grad=True)}\n",
+      "Epoch: 30\t Loss: tensor(1.3716e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0032, requires_grad=True)}\n",
+      "Epoch: 31\t Loss: tensor(1.5587e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0038, requires_grad=True)}\n",
+      "Epoch: 32\t Loss: tensor(4.8162e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0048, requires_grad=True)}\n",
+      "Epoch: 33\t Loss: tensor(6.5313e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0037, requires_grad=True)}\n",
+      "Epoch: 34\t Loss: tensor(1.6680e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0031, requires_grad=True)}\n",
+      "Epoch: 35\t Loss: tensor(5.4401e-11, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0014, requires_grad=True)}\n",
+      "Epoch: 36\t Loss: tensor(4.3130e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0047, requires_grad=True)}\n",
+      "Epoch: 37\t Loss: tensor(7.3329e-12, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0017, requires_grad=True)}\n",
+      "Epoch: 38\t Loss: tensor(6.7459e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0033, requires_grad=True)}\n",
+      "Epoch: 39\t Loss: tensor(1.3768e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0029, requires_grad=True)}\n",
+      "Epoch: 40\t Loss: tensor(2.0917e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0036, requires_grad=True)}\n",
+      "Epoch: 41\t Loss: tensor(1.9102e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0044, requires_grad=True)}\n",
+      "Epoch: 42\t Loss: tensor(2.6673e-10, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0019, requires_grad=True)}\n",
+      "Epoch: 43\t Loss: tensor(2.4844e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0040, requires_grad=True)}\n",
+      "Epoch: 44\t Loss: tensor(9.4255e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0036, requires_grad=True)}\n",
+      "Epoch: 45\t Loss: tensor(1.7675e-11, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0015, requires_grad=True)}\n",
+      "Epoch: 46\t Loss: tensor(1.2478e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0055, requires_grad=True)}\n",
+      "Epoch: 47\t Loss: tensor(1.8300e-11, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0017, requires_grad=True)}\n",
+      "Epoch: 48\t Loss: tensor(2.1651e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0008, requires_grad=True)}\n",
+      "Epoch: 49\t Loss: tensor(1.0269e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0055, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.5},\n",
+    "    max_epochs=50,\n",
+    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'w': Parameter containing:\n",
+       " tensor(5.0055, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 26
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt=1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000,  0.0000],\n",
+       "        [ 0.0100,  0.0100],\n",
+       "        [ 0.0200,  0.0200],\n",
+       "        ...,\n",
+       "        [-0.0700,  9.9701],\n",
+       "        [-0.0607,  9.9801],\n",
+       "        [-0.0512,  9.9901]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 27
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:50:12.858596</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m4a07035155\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m4a07035155\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m4a07035155\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m4a07035155\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m4a07035155\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m4a07035155\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m4a07035155\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf26fdef1b3\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"264.367525\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.20 -->\n      <g transform=\"translate(7.2 268.166743)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"234.096907\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.15 -->\n      <g transform=\"translate(7.2 237.896125)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"203.826289\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.10 -->\n      <g transform=\"translate(7.2 207.625507)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"173.555671\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −0.05 -->\n      <g transform=\"translate(7.2 177.354889)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"143.285053\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 147.084271)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"113.014435\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.05 -->\n      <g transform=\"translate(15.579688 116.813653)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"82.743817\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.10 -->\n      <g transform=\"translate(15.579688 86.543035)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"52.473199\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.15 -->\n      <g transform=\"translate(15.579688 56.272417)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"22.202581\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 0.20 -->\n      <g transform=\"translate(15.579688 26.001799)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pb6f0c792d9)\" d=\"M 61.07804 143.285053 \nL 64.002816 90.331305 \nL 65.627692 64.599013 \nL 66.927593 47.339733 \nL 67.90252 36.799227 \nL 68.877446 28.587284 \nL 69.527395 24.499865 \nL 70.177345 21.571599 \nL 70.827295 19.831805 \nL 71.15227 19.413503 \nL 71.477245 19.297913 \nL 71.80222 19.485331 \nL 72.127194 19.97528 \nL 72.452169 20.766534 \nL 73.102119 23.244274 \nL 73.752069 26.893742 \nL 74.402019 31.678394 \nL 75.376943 40.876055 \nL 76.351868 52.310504 \nL 77.651768 70.58456 \nL 79.276643 97.245158 \nL 81.876442 144.719906 \nL 84.476241 191.488709 \nL 86.101115 217.031733 \nL 87.401015 234.088881 \nL 88.375939 244.453363 \nL 89.350864 252.472718 \nL 90.000814 256.424672 \nL 90.650763 259.213378 \nL 91.300713 260.810914 \nL 91.625688 261.157524 \nL 91.950663 261.201286 \nL 92.275638 260.942085 \nL 92.600613 260.380578 \nL 93.250563 258.357009 \nL 93.900514 255.15084 \nL 94.550464 250.794188 \nL 95.525389 242.200507 \nL 96.500313 231.312399 \nL 97.800213 213.656148 \nL 99.425087 187.556209 \nL 101.699911 146.466805 \nL 104.94966 87.730956 \nL 106.574534 62.380799 \nL 107.874434 45.528183 \nL 108.849359 35.341179 \nL 109.824283 27.515548 \nL 110.474233 23.699635 \nL 111.124183 21.050887 \nL 111.774133 19.595833 \nL 112.099107 19.320962 \nL 112.424082 19.349036 \nL 112.749057 19.679985 \nL 113.074032 20.312976 \nL 113.723982 22.47801 \nL 114.373932 25.822439 \nL 115.023881 30.312788 \nL 115.998806 39.095511 \nL 116.973731 50.155106 \nL 118.27363 68.006105 \nL 119.898505 94.284356 \nL 122.173329 135.483246 \nL 125.423077 194.074475 \nL 127.047956 219.228206 \nL 128.347855 235.873899 \nL 129.32278 245.881992 \nL 130.297705 253.512789 \nL 130.947654 257.192136 \nL 131.597604 259.700549 \nL 131.922579 260.507337 \nL 132.247554 261.012911 \nL 132.572529 261.216 \nL 132.897504 261.116089 \nL 133.222478 260.71343 \nL 133.547453 260.009043 \nL 134.197403 257.702853 \nL 134.847353 254.220622 \nL 135.497303 249.597218 \nL 136.472227 240.626697 \nL 137.447152 229.397158 \nL 138.747051 211.353914 \nL 140.371926 184.901041 \nL 142.971725 137.544359 \nL 145.896499 85.160116 \nL 147.521373 60.206348 \nL 148.821273 43.769886 \nL 149.796197 33.942121 \nL 150.771122 26.507205 \nL 151.421072 22.964937 \nL 152.071021 20.597203 \nL 152.395996 19.861657 \nL 152.720971 19.427703 \nL 153.045946 19.296424 \nL 153.370921 19.468154 \nL 153.695896 19.942452 \nL 154.020871 20.718143 \nL 154.67082 23.165148 \nL 155.32077 26.784683 \nL 155.97072 31.540494 \nL 156.945645 40.697567 \nL 157.920569 52.095453 \nL 159.220469 70.328399 \nL 160.845343 96.952153 \nL 163.445142 144.406459 \nL 166.044941 191.20441 \nL 167.669816 216.789086 \nL 168.969715 233.890601 \nL 169.94464 244.293676 \nL 170.919564 252.355206 \nL 171.569514 256.336813 \nL 172.219464 259.156039 \nL 172.869414 260.78468 \nL 173.194389 261.14696 \nL 173.519363 261.206419 \nL 173.844338 260.962897 \nL 174.169313 260.417015 \nL 174.819263 258.424398 \nL 175.469213 255.248505 \nL 176.119163 250.921145 \nL 177.094087 242.368944 \nL 178.069012 231.518519 \nL 179.368911 213.90516 \nL 180.993786 187.844671 \nL 183.26861 146.779957 \nL 186.518359 88.013604 \nL 188.143233 62.620993 \nL 189.443133 45.723477 \nL 190.418057 35.497564 \nL 191.39299 27.629497 \nL 192.042955 23.783832 \nL 192.69292 21.104509 \nL 193.342885 19.618378 \nL 193.667868 19.327881 \nL 193.992851 19.340322 \nL 194.317833 19.655654 \nL 194.642816 20.273102 \nL 195.292781 22.407409 \nL 195.942746 25.721851 \nL 196.592712 30.183232 \nL 197.56766 38.925089 \nL 198.542607 49.947696 \nL 199.842538 67.756828 \nL 201.467451 93.99694 \nL 203.742329 135.172766 \nL 206.992156 193.79563 \nL 208.617069 218.991585 \nL 209.916999 235.681555 \nL 210.891947 245.727808 \nL 211.866895 253.400067 \nL 212.51686 257.108418 \nL 213.166826 259.646601 \nL 213.816791 260.989185 \nL 214.141774 261.207466 \nL 214.466756 261.122746 \nL 214.791739 260.735243 \nL 215.116721 260.045922 \nL 215.766687 257.769512 \nL 216.416652 254.316302 \nL 217.066617 249.720864 \nL 218.041565 240.789757 \nL 219.016513 229.595799 \nL 220.316443 211.592668 \nL 221.941357 185.176048 \nL 224.541218 137.840596 \nL 227.466061 85.423869 \nL 229.090974 60.42839 \nL 230.390905 43.948509 \nL 231.365853 34.083422 \nL 232.340801 26.608073 \nL 232.990766 23.037559 \nL 233.640731 20.640884 \nL 233.965714 19.890687 \nL 234.290696 19.44202 \nL 234.615679 19.296 \nL 234.940662 19.452999 \nL 235.265644 19.912618 \nL 235.590627 20.673704 \nL 236.240592 23.091912 \nL 236.890557 26.68341 \nL 237.540523 31.412211 \nL 238.515471 40.531313 \nL 239.490418 51.895017 \nL 240.790349 70.08959 \nL 242.415262 96.678955 \nL 245.015123 144.114034 \nL 247.614984 190.938573 \nL 249.239897 216.561405 \nL 250.539828 233.703516 \nL 251.514776 244.141865 \nL 252.489724 252.241925 \nL 253.139689 256.250569 \nL 253.789654 259.097634 \nL 254.439619 260.754612 \nL 254.764602 261.131154 \nL 255.089585 261.204886 \nL 255.414567 260.975644 \nL 255.73955 260.44398 \nL 256.389515 258.479492 \nL 257.03948 255.331096 \nL 257.689446 251.030322 \nL 258.664393 242.515713 \nL 259.639341 231.699433 \nL 260.939272 214.124879 \nL 262.564185 188.10007 \nL 264.839063 147.057766 \nL 268.08889 88.264515 \nL 269.713803 62.834239 \nL 271.013733 45.89694 \nL 271.988681 35.636601 \nL 272.963629 27.731032 \nL 273.613594 23.859033 \nL 274.26356 21.152647 \nL 274.913525 19.638965 \nL 275.238507 19.334602 \nL 275.56349 19.333159 \nL 275.888473 19.634643 \nL 276.213455 20.238271 \nL 276.863421 22.345224 \nL 277.513386 25.632946 \nL 278.163351 30.068517 \nL 279.138299 38.773882 \nL 280.113247 49.763372 \nL 281.413177 67.534948 \nL 283.038091 93.740725 \nL 285.312969 134.895591 \nL 288.562795 193.546713 \nL 290.187708 218.780783 \nL 291.487639 235.510835 \nL 292.462587 245.591703 \nL 293.437535 253.30168 \nL 294.0875 257.036464 \nL 294.737465 259.601774 \nL 295.38743 260.971945 \nL 295.712413 261.204083 \nL 296.037396 261.133256 \nL 296.362378 260.759619 \nL 296.687361 260.084101 \nL 297.337326 257.83497 \nL 297.987291 254.408374 \nL 298.637257 249.838638 \nL 299.612204 240.943797 \nL 300.587152 229.782649 \nL 301.887083 211.816582 \nL 303.511996 185.433589 \nL 305.786874 144.172008 \nL 309.036701 85.671365 \nL 310.661614 60.63709 \nL 311.961544 44.116667 \nL 312.936492 34.216659 \nL 313.91144 26.703383 \nL 314.561405 23.106355 \nL 315.211371 20.682473 \nL 315.536353 19.918518 \nL 315.861336 19.455994 \nL 316.186318 19.29609 \nL 316.511301 19.439196 \nL 316.836284 19.884959 \nL 317.161266 20.632269 \nL 317.811232 23.02326 \nL 318.461197 26.588235 \nL 319.111162 31.291469 \nL 320.08611 40.374531 \nL 321.061042 51.705758 \nL 322.360973 69.863696 \nL 323.985886 96.420137 \nL 326.585747 143.836579 \nL 329.185608 190.686409 \nL 330.810521 216.345858 \nL 332.110452 233.527095 \nL 333.0854 243.99949 \nL 334.060347 252.136826 \nL 334.710313 256.171696 \nL 335.360278 259.045771 \nL 336.010243 260.730255 \nL 336.335226 261.120662 \nL 336.660209 261.208296 \nL 336.985191 260.992947 \nL 337.310174 260.47514 \nL 337.960139 258.538094 \nL 338.610104 255.416546 \nL 339.26007 251.141753 \nL 340.235017 242.66396 \nL 341.209965 231.881168 \nL 342.509896 214.344788 \nL 344.134809 188.355216 \nL 346.409687 147.335233 \nL 349.659514 88.51561 \nL 351.284427 63.048018 \nL 352.584357 46.07116 \nL 353.559305 35.776459 \nL 354.534253 27.833388 \nL 355.184218 23.935074 \nL 355.834184 21.201615 \nL 356.484149 19.660363 \nL 356.809131 19.342099 \nL 357.134114 19.326736 \nL 357.459097 19.614318 \nL 357.784079 20.204116 \nL 358.434045 22.283708 \nL 359.08401 25.544681 \nL 359.733975 29.954397 \nL 360.708923 38.623127 \nL 361.683871 49.579445 \nL 362.983801 67.313338 \nL 364.608714 93.484582 \nL 366.883593 134.618264 \nL 370.133419 193.297376 \nL 371.758332 218.569449 \nL 373.058263 235.339538 \nL 374.033211 245.455075 \nL 375.008159 253.202743 \nL 375.658124 256.963941 \nL 376.308089 259.556424 \nL 376.958054 260.954228 \nL 377.283037 261.200276 \nL 377.60802 261.143342 \nL 377.933002 260.783571 \nL 378.257985 260.121864 \nL 378.90795 257.900032 \nL 379.557915 254.500094 \nL 380.207881 249.956132 \nL 381.182828 241.097638 \nL 382.157776 229.969355 \nL 383.457707 212.040497 \nL 385.08262 185.691293 \nL 385.732585 174.259789 \nL 385.732585 174.259789 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb6f0c792d9\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Runge-Kutta for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"w\": 1.}\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(6.4903e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.2780, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(3.5491e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(2.2486, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(2.1207e-05, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(2.6527, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(2.7050e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.6368, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(2.4687e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.5153, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(9.7100e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.5416, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(1.7244e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0945, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.7973, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(2.5060e-06, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9608, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(5.4163e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9939, requires_grad=True)}\n",
+      "Epoch: 10\t Loss: tensor(2.8473e-07, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0115, requires_grad=True)}\n",
+      "Epoch: 11\t Loss: tensor(1.3045e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0041, requires_grad=True)}\n",
+      "Epoch: 12\t Loss: tensor(5.6551e-10, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9992, requires_grad=True)}\n",
+      "Epoch: 13\t Loss: tensor(1.7476e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 14\t Loss: tensor(6.9568e-11, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0006, requires_grad=True)}\n",
+      "Epoch: 15\t Loss: tensor(5.0735e-11, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9995, requires_grad=True)}\n",
+      "Epoch: 16\t Loss: tensor(1.3925e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0006, requires_grad=True)}\n",
+      "Epoch: 17\t Loss: tensor(8.8450e-09, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9919, requires_grad=True)}\n",
+      "Epoch: 18\t Loss: tensor(1.6190e-08, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9982, requires_grad=True)}\n",
+      "Epoch: 19\t Loss: tensor(4.9945e-10, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0004, requires_grad=True)}\n",
+      "Epoch: 20\t Loss: tensor(1.4479e-10, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(4.9999, requires_grad=True)}\n",
+      "Epoch: 21\t Loss: tensor(1.6628e-11, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 22\t Loss: tensor(2.2382e-11, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0001, requires_grad=True)}\n",
+      "Epoch: 23\t Loss: tensor(5.3735e-14, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 24\t Loss: tensor(1.0881e-12, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 25\t Loss: tensor(2.5580e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 26\t Loss: tensor(5.4812e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 27\t Loss: tensor(3.2085e-14, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 28\t Loss: tensor(8.4122e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 29\t Loss: tensor(2.7203e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 30\t Loss: tensor(1.9121e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 31\t Loss: tensor(8.4122e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 32\t Loss: tensor(4.6185e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 33\t Loss: tensor(3.9968e-15, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 34\t Loss: tensor(7.1054e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 35\t Loss: tensor(1.6032e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 36\t Loss: tensor(4.5475e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 37\t Loss: tensor(2.7756e-15, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 38\t Loss: tensor(8.7041e-14, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 39\t Loss: tensor(5.3735e-14, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 40\t Loss: tensor(3.0226e-14, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 41\t Loss: tensor(1.0020e-12, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 42\t Loss: tensor(1.3927e-12, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 43\t Loss: tensor(2.7756e-15, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 44\t Loss: tensor(6.8967e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 45\t Loss: tensor(9.9876e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 46\t Loss: tensor(4.7973e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 47\t Loss: tensor(7.1054e-15, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 48\t Loss: tensor(5.8731e-14, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n",
+      "Epoch: 49\t Loss: tensor(7.2131e-13, grad_fn=<MseLossBackward>)\n",
+      "{'w': Parameter containing:\n",
+      "tensor(5.0000, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.5},\n",
+    "    max_epochs=50,\n",
+    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'w': Parameter containing:\n",
+       " tensor(5.0000, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 31
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000,  0.0000],\n",
+       "        [ 0.0100,  0.0100],\n",
+       "        [ 0.0200,  0.0200],\n",
+       "        ...,\n",
+       "        [-0.0806,  9.9701],\n",
+       "        [-0.0714,  9.9801],\n",
+       "        [-0.0619,  9.9901]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 32
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:50:16.883496</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m296470cd3f\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m296470cd3f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m296470cd3f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m296470cd3f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m296470cd3f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m296470cd3f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m296470cd3f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"md0cef0eedd\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"261.217017\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.20 -->\n      <g transform=\"translate(7.2 265.016235)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"230.976797\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.15 -->\n      <g transform=\"translate(7.2 234.776016)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"200.736578\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.10 -->\n      <g transform=\"translate(7.2 204.535797)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"170.496359\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −0.05 -->\n      <g transform=\"translate(7.2 174.295578)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"140.25614\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055358)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"110.01592\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.05 -->\n      <g transform=\"translate(15.579688 113.815139)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"79.775701\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.10 -->\n      <g transform=\"translate(15.579688 83.57492)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"49.535482\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.15 -->\n      <g transform=\"translate(15.579688 53.334701)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"19.295263\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 0.20 -->\n      <g transform=\"translate(15.579688 23.094482)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pb21b46b23a)\" d=\"M 61.07804 140.25614 \nL 64.002816 87.642323 \nL 65.627692 62.330998 \nL 66.927593 45.504219 \nL 67.90252 35.331861 \nL 68.877446 27.515873 \nL 69.527395 23.703297 \nL 70.177345 21.05528 \nL 70.827295 19.598272 \nL 71.15227 19.321415 \nL 71.477245 19.346838 \nL 71.80222 19.674471 \nL 72.127194 20.303493 \nL 72.777144 22.458673 \nL 73.427094 25.79084 \nL 74.077044 30.266703 \nL 75.051968 39.024096 \nL 76.026893 50.054938 \nL 77.326792 67.864363 \nL 78.951668 94.090007 \nL 81.226492 135.226409 \nL 84.476241 193.78373 \nL 86.101115 218.956302 \nL 87.401015 235.636875 \nL 88.375939 245.682782 \nL 89.350864 253.361043 \nL 90.000814 257.077053 \nL 90.650763 259.625836 \nL 91.300713 260.981915 \nL 91.625688 261.207988 \nL 91.950663 261.131744 \nL 92.275638 260.753381 \nL 92.600613 260.073837 \nL 93.250563 257.818755 \nL 93.900514 254.389021 \nL 94.550464 249.818917 \nL 95.525389 240.928448 \nL 96.500313 229.777103 \nL 97.800213 211.831201 \nL 99.425087 185.481272 \nL 101.699911 144.270253 \nL 104.94966 85.819079 \nL 106.574534 60.78704 \nL 107.874434 44.253863 \nL 108.849359 34.33512 \nL 109.824283 26.795134 \nL 110.474233 23.175952 \nL 111.124183 20.726593 \nL 111.449158 19.948706 \nL 111.774133 19.471532 \nL 112.099107 19.296252 \nL 112.424082 19.423308 \nL 112.749057 19.852383 \nL 113.074032 20.582405 \nL 113.723982 22.937244 \nL 114.373932 26.464292 \nL 115.023881 31.128314 \nL 115.998806 40.151227 \nL 116.973731 51.422282 \nL 118.27363 69.503382 \nL 119.898505 95.975711 \nL 122.498304 143.305854 \nL 125.423077 195.599354 \nL 127.047956 220.489103 \nL 128.347855 236.873721 \nL 129.32278 246.66458 \nL 130.297705 254.06575 \nL 130.947654 257.587842 \nL 131.597604 259.937598 \nL 131.922579 260.665052 \nL 132.247554 261.09154 \nL 132.572529 261.216 \nL 132.897504 261.038133 \nL 133.222478 260.558373 \nL 133.547453 259.777918 \nL 134.197403 257.323485 \nL 134.847353 253.699347 \nL 135.497303 248.941733 \nL 136.472227 239.786988 \nL 137.447152 228.397016 \nL 138.747051 210.181975 \nL 140.371926 183.589089 \nL 142.971725 136.190367 \nL 145.571524 89.433552 \nL 147.196398 63.856923 \nL 148.496298 46.748591 \nL 149.471222 36.331801 \nL 150.446147 28.248933 \nL 151.096097 24.248901 \nL 151.746047 21.407976 \nL 152.395996 19.754536 \nL 152.720971 19.37876 \nL 153.045946 19.305111 \nL 153.370921 19.533771 \nL 153.695896 20.06418 \nL 154.345846 22.024173 \nL 154.995795 25.165496 \nL 155.645745 29.456768 \nL 156.62067 37.952985 \nL 157.595594 48.746705 \nL 158.895494 66.2865 \nL 160.520368 92.264586 \nL 162.795192 133.247178 \nL 166.044941 191.999504 \nL 167.669816 217.440868 \nL 168.969715 234.405328 \nL 169.94464 244.697072 \nL 170.919564 252.643296 \nL 171.569514 256.547293 \nL 172.219464 259.289353 \nL 172.869414 260.84208 \nL 173.194389 261.167126 \nL 173.519363 261.189954 \nL 173.844338 260.91051 \nL 174.169313 260.329497 \nL 174.819263 258.269315 \nL 175.469213 255.029984 \nL 176.119163 250.643866 \nL 177.094087 242.013384 \nL 178.069012 231.097656 \nL 179.368911 213.41895 \nL 180.993786 187.312993 \nL 183.26861 146.250122 \nL 186.518359 87.595865 \nL 188.143233 62.291542 \nL 189.443133 45.472153 \nL 190.418057 35.306185 \nL 191.39299 27.497155 \nL 192.042955 23.68949 \nL 192.69292 21.046538 \nL 193.342885 19.594721 \nL 193.667868 19.320495 \nL 193.992851 19.348551 \nL 194.317833 19.678815 \nL 194.642816 20.310468 \nL 195.292781 22.470876 \nL 195.942746 25.808189 \nL 196.592712 30.289053 \nL 197.56766 39.053548 \nL 198.542607 50.090879 \nL 199.842538 67.907721 \nL 201.467451 94.140232 \nL 203.742329 135.280851 \nL 206.992156 193.832216 \nL 208.617069 218.996686 \nL 209.916999 235.668652 \nL 210.891947 245.70707 \nL 211.866895 253.377121 \nL 212.51686 257.087345 \nL 213.166826 259.630144 \nL 213.816791 260.980121 \nL 214.141774 261.203112 \nL 214.466756 261.123786 \nL 214.791739 260.742332 \nL 215.116721 260.059705 \nL 215.766687 257.798504 \nL 216.416652 254.362777 \nL 217.066617 249.786851 \nL 218.041565 240.888136 \nL 219.016513 229.729266 \nL 220.316443 211.774797 \nL 221.941357 185.417019 \nL 224.216235 144.201289 \nL 227.466061 85.757255 \nL 229.090974 60.734661 \nL 230.390905 44.211442 \nL 231.365853 34.30136 \nL 232.340801 26.770836 \nL 232.990766 23.158315 \nL 233.640731 20.715814 \nL 233.965714 19.941415 \nL 234.290696 19.467747 \nL 234.615679 19.296 \nL 234.940662 19.426597 \nL 235.265644 19.859205 \nL 235.590627 20.592751 \nL 236.240592 22.954583 \nL 236.890557 26.488472 \nL 237.540523 31.159109 \nL 238.515471 40.191403 \nL 239.490418 51.470966 \nL 240.790349 69.561746 \nL 242.415262 96.042889 \nL 245.015123 143.378172 \nL 247.614984 190.2201 \nL 249.239897 215.920152 \nL 250.539828 233.160334 \nL 251.514776 243.691931 \nL 252.489724 251.900413 \nL 253.139689 255.988801 \nL 253.789654 258.920742 \nL 254.439619 260.666944 \nL 254.764602 261.089476 \nL 255.089585 261.209962 \nL 255.414567 261.028103 \nL 255.73955 260.544359 \nL 256.064532 259.759939 \nL 256.714498 257.297647 \nL 257.364463 253.66583 \nL 258.014428 248.90079 \nL 258.989376 239.735555 \nL 259.964324 228.336066 \nL 261.264254 210.110255 \nL 262.889168 183.507636 \nL 265.489029 136.103431 \nL 268.08889 89.354446 \nL 269.713803 63.789177 \nL 271.013733 46.693048 \nL 271.988681 36.286947 \nL 272.963629 28.215813 \nL 273.613594 24.224063 \nL 274.26356 21.391699 \nL 274.913525 19.747011 \nL 275.238507 19.37566 \nL 275.56349 19.306445 \nL 275.888473 19.539557 \nL 276.213455 20.074391 \nL 276.863421 22.04318 \nL 277.513386 25.193145 \nL 278.163351 29.492809 \nL 279.138299 38.000958 \nL 280.113247 48.805582 \nL 281.413177 66.357878 \nL 283.038091 92.34758 \nL 285.312969 133.337601 \nL 288.562795 192.081011 \nL 290.187708 217.509676 \nL 291.487639 234.460555 \nL 292.462587 244.740448 \nL 293.437535 252.673685 \nL 294.0875 256.568535 \nL 294.737465 259.301141 \nL 295.38743 260.844216 \nL 295.712413 261.164387 \nL 296.037396 261.18233 \nL 296.362378 260.897992 \nL 296.687361 260.312104 \nL 297.337326 258.242242 \nL 297.987291 254.993421 \nL 298.637257 250.59811 \nL 299.612204 241.954551 \nL 300.587152 231.026918 \nL 301.887083 213.334613 \nL 303.511996 187.216084 \nL 305.786874 146.145356 \nL 309.036701 87.501281 \nL 310.661614 62.211072 \nL 311.961544 45.406688 \nL 312.936492 35.25376 \nL 313.91144 27.459015 \nL 314.561405 23.661372 \nL 315.211371 21.028738 \nL 315.861336 19.587403 \nL 316.186318 19.31845 \nL 316.511301 19.351786 \nL 316.836284 19.687323 \nL 317.161266 20.32423 \nL 317.811232 22.49502 \nL 318.461197 25.842472 \nL 319.111162 30.333141 \nL 320.08611 39.111488 \nL 321.061042 50.161373 \nL 322.360973 67.992405 \nL 323.985886 94.237862 \nL 326.260764 135.386333 \nL 329.510591 193.926872 \nL 331.135504 219.07685 \nL 332.435434 235.733586 \nL 333.410382 245.758854 \nL 334.38533 253.414594 \nL 335.035295 257.114796 \nL 335.685261 259.647312 \nL 336.335226 260.986827 \nL 336.660209 261.204563 \nL 336.985191 261.119965 \nL 337.310174 260.733257 \nL 337.635156 260.045394 \nL 338.285122 257.773847 \nL 338.935087 254.328026 \nL 339.585052 249.742357 \nL 340.56 240.82989 \nL 341.534948 229.658583 \nL 342.834878 211.690055 \nL 344.459792 185.319515 \nL 347.059653 138.04896 \nL 349.984496 85.663482 \nL 351.609409 60.655578 \nL 352.90934 44.147726 \nL 353.884288 34.250882 \nL 354.859236 26.734742 \nL 355.509201 23.132278 \nL 356.159166 20.700105 \nL 356.484149 19.930943 \nL 356.809131 19.462529 \nL 357.134114 19.296054 \nL 357.459097 19.431914 \nL 357.784079 19.869785 \nL 358.109062 20.608568 \nL 358.759027 22.980737 \nL 359.408992 26.524711 \nL 360.058958 31.20508 \nL 361.033906 40.251083 \nL 362.008853 51.543029 \nL 363.308784 69.64775 \nL 364.933697 96.141474 \nL 367.533558 143.483998 \nL 370.133419 190.316523 \nL 371.758332 216.002804 \nL 373.058263 233.228215 \nL 374.033211 243.746933 \nL 375.008159 251.94132 \nL 375.658124 256.019785 \nL 376.308089 258.941497 \nL 376.958054 260.677263 \nL 377.283037 261.094523 \nL 377.60802 261.209745 \nL 377.933002 261.022614 \nL 378.257985 260.533617 \nL 378.582967 259.74396 \nL 379.232933 257.271349 \nL 379.882898 253.629492 \nL 380.532863 248.854764 \nL 381.507811 239.675903 \nL 382.482759 228.26412 \nL 383.782689 210.024494 \nL 385.407603 183.409501 \nL 385.732585 177.707911 \nL 385.732585 177.707911 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb21b46b23a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb b/examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb
new file mode 100644
index 00000000..067fb1b6
--- /dev/null
+++ b/examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb
@@ -0,0 +1,778 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "import numpy as np\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# x'(t) = 3 sin (5t)\n",
+    "dt = 0.01\n",
+    "\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"a\"]*torch.cos(coeffs[\"w\"]*prev_val[\"t\"])\n",
+    "\n",
+    "def t_prime(prev_val, coeffs):\n",
+    "    return 1\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"t\": t_prime}\n",
+    "\n",
+    "# Initial conditions [0,0,0]\n",
+    "ode_init = {\"x\": 0, \"t\": 0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"a\": 3., \"w\": 5.}\n"
+   ]
+  },
+  {
+   "source": [
+    "# Dataset: x(t) = 0.6 sin(5t)"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "result = torch.cat((0.6*torch.sin(5*torch.arange(0,10,dt).view(1000,1)), torch.arange(0,10,dt).t().view(1000,1)), dim=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:54:20.584415</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m3fba07e66c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.71554\" xlink:href=\"#m3fba07e66c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(51.53429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"119.711446\" xlink:href=\"#m3fba07e66c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(116.530196 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"184.707353\" xlink:href=\"#m3fba07e66c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(181.526103 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.703259\" xlink:href=\"#m3fba07e66c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(246.522009 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"314.699166\" xlink:href=\"#m3fba07e66c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(311.517916 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"379.695072\" xlink:href=\"#m3fba07e66c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(373.332572 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mfe6fa0e2df\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe6fa0e2df\" y=\"261.217173\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.6 -->\n      <g transform=\"translate(7.2 265.016392)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe6fa0e2df\" y=\"220.896882\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.4 -->\n      <g transform=\"translate(7.2 224.696101)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe6fa0e2df\" y=\"180.576591\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.2 -->\n      <g transform=\"translate(7.2 184.37581)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe6fa0e2df\" y=\"140.2563\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 144.055519)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe6fa0e2df\" y=\"99.93601\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.2 -->\n      <g transform=\"translate(15.579688 103.735228)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe6fa0e2df\" y=\"59.615719\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.4 -->\n      <g transform=\"translate(15.579688 63.414938)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe6fa0e2df\" y=\"19.295428\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.6 -->\n      <g transform=\"translate(15.579688 23.094647)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pd1432ef41a)\" d=\"M 54.71554 140.2563 \nL 57.640355 87.642489 \nL 59.265253 62.331168 \nL 60.565171 45.504398 \nL 61.54011 35.332031 \nL 62.515048 27.516035 \nL 63.165007 23.703453 \nL 63.814967 21.055439 \nL 64.464925 19.598428 \nL 64.789905 19.321583 \nL 65.114885 19.346998 \nL 65.439864 19.674636 \nL 65.764844 20.303658 \nL 66.414802 22.458832 \nL 67.064762 25.791011 \nL 67.714721 30.266886 \nL 68.68966 39.024293 \nL 69.664599 50.055141 \nL 70.964516 67.864586 \nL 72.589414 94.090252 \nL 74.864271 135.226655 \nL 78.114067 193.783982 \nL 79.738965 218.956502 \nL 81.038882 235.63702 \nL 82.013822 245.68289 \nL 82.988759 253.361083 \nL 83.638718 257.077053 \nL 84.288676 259.6258 \nL 84.938637 260.981837 \nL 85.263616 261.207901 \nL 85.588595 261.131633 \nL 85.913574 260.753249 \nL 86.238553 260.073675 \nL 86.888512 257.81856 \nL 87.538472 254.388772 \nL 88.188431 249.818641 \nL 89.163368 240.928116 \nL 90.138306 229.776714 \nL 91.438227 211.830726 \nL 93.063123 185.480793 \nL 95.337981 144.269687 \nL 98.587777 85.818576 \nL 100.212674 60.786624 \nL 101.512594 44.253517 \nL 102.487532 34.334864 \nL 103.46247 26.795004 \nL 104.112428 23.175886 \nL 104.762387 20.72661 \nL 105.087366 19.948766 \nL 105.412345 19.471619 \nL 105.737324 19.296385 \nL 106.062303 19.423482 \nL 106.387287 19.852599 \nL 106.712266 20.582654 \nL 107.362224 22.937589 \nL 108.012183 26.464698 \nL 108.662141 31.128821 \nL 109.637079 40.151821 \nL 110.612016 51.422936 \nL 111.911937 69.504222 \nL 113.536833 95.97656 \nL 116.136671 143.306834 \nL 119.061484 195.600204 \nL 120.686384 220.489816 \nL 121.986301 236.874287 \nL 122.961238 246.665073 \nL 123.936176 254.066084 \nL 124.586135 257.588062 \nL 125.236101 259.937745 \nL 125.56108 260.665145 \nL 125.886059 261.091582 \nL 126.211038 261.216 \nL 126.536018 261.038061 \nL 126.860997 260.558247 \nL 127.185976 259.777759 \nL 127.835935 257.323209 \nL 128.485893 253.698959 \nL 129.135851 248.941265 \nL 130.110789 239.786403 \nL 131.085727 228.39626 \nL 132.385644 210.181171 \nL 134.010548 183.587942 \nL 136.610381 136.189181 \nL 139.210215 89.432528 \nL 140.835119 63.856083 \nL 142.135036 46.74789 \nL 143.109974 36.331302 \nL 144.084911 28.24865 \nL 144.73487 24.248745 \nL 145.384828 21.407963 \nL 146.034787 19.754677 \nL 146.359766 19.378961 \nL 146.684745 19.305385 \nL 147.009724 19.534117 \nL 147.334703 20.064604 \nL 147.984662 22.024716 \nL 148.634628 25.166231 \nL 149.284586 29.457618 \nL 150.259524 37.954078 \nL 151.234462 48.747957 \nL 152.534379 66.287952 \nL 154.159275 92.266129 \nL 156.434129 133.248892 \nL 159.683929 192.001063 \nL 161.308825 217.442209 \nL 162.608742 234.406482 \nL 163.58368 244.697967 \nL 164.558618 252.643945 \nL 165.208576 256.547791 \nL 165.858535 259.289642 \nL 166.508501 260.842218 \nL 166.83348 261.167153 \nL 167.158459 261.1899 \nL 167.483438 260.910351 \nL 167.808418 260.329263 \nL 168.458376 258.268874 \nL 169.108335 255.029353 \nL 169.758293 250.643037 \nL 170.733231 242.012306 \nL 171.708168 231.096377 \nL 173.008085 213.41752 \nL 174.632989 187.31112 \nL 176.907844 146.248267 \nL 180.157636 87.594207 \nL 181.782532 62.290156 \nL 183.082457 45.471005 \nL 184.057394 35.305331 \nL 185.03234 27.496533 \nL 185.682298 23.689045 \nL 186.332257 21.046318 \nL 186.982215 19.594643 \nL 187.307187 19.320477 \nL 187.632173 19.348584 \nL 187.957145 19.67889 \nL 188.282132 20.310603 \nL 188.93209 22.471089 \nL 189.582049 25.808387 \nL 190.232007 30.289272 \nL 191.206937 39.053698 \nL 192.181883 50.090914 \nL 193.481799 67.907659 \nL 195.106703 94.139949 \nL 197.381566 135.280429 \nL 200.631358 193.832209 \nL 202.256246 218.997345 \nL 203.556163 235.670005 \nL 204.531109 245.709266 \nL 205.506038 253.380069 \nL 206.155997 257.090956 \nL 206.805955 259.634464 \nL 207.455914 260.985177 \nL 207.780901 261.20855 \nL 208.105872 261.129602 \nL 208.430859 260.748539 \nL 208.755831 260.066321 \nL 209.405789 257.805919 \nL 210.055748 254.37106 \nL 210.705722 249.795858 \nL 211.680667 240.898213 \nL 212.655597 229.740472 \nL 213.955514 211.787425 \nL 215.580418 185.430709 \nL 217.855264 144.215954 \nL 221.105057 85.770775 \nL 222.729961 60.746099 \nL 224.029877 44.220922 \nL 225.004807 34.309017 \nL 225.979753 26.776367 \nL 226.629727 23.162319 \nL 227.279685 20.718319 \nL 227.604657 19.94319 \nL 227.929644 19.468723 \nL 228.254615 19.29618 \nL 228.579602 19.425969 \nL 228.904573 19.857766 \nL 229.22956 20.590525 \nL 229.879519 22.950687 \nL 230.529477 26.482987 \nL 231.179436 31.152072 \nL 232.154366 40.18194 \nL 233.129311 51.459514 \nL 234.429228 69.547931 \nL 236.054116 96.026596 \nL 238.65395 143.360464 \nL 241.253784 190.20425 \nL 242.878703 215.907573 \nL 244.17862 233.150782 \nL 245.15355 243.685155 \nL 246.128496 251.896754 \nL 246.778454 255.987395 \nL 247.428412 258.921664 \nL 248.078371 260.670276 \nL 248.403342 261.09401 \nL 248.728329 261.215748 \nL 249.053301 261.035141 \nL 249.378288 260.552636 \nL 249.703259 259.769468 \nL 250.353218 257.309654 \nL 251.003176 253.680286 \nL 251.653135 248.917701 \nL 252.62808 239.755779 \nL 253.60301 228.35958 \nL 254.902927 210.1373 \nL 256.527831 183.53796 \nL 259.127664 136.135449 \nL 261.727514 89.383537 \nL 263.352402 63.81459 \nL 264.652319 46.713937 \nL 265.627264 36.303808 \nL 266.602194 28.22845 \nL 267.252153 24.23352 \nL 267.902111 21.398002 \nL 268.55207 19.749991 \nL 268.877057 19.376978 \nL 269.202028 19.306082 \nL 269.527015 19.537505 \nL 269.851987 20.070636 \nL 270.501945 22.036108 \nL 271.151903 25.182706 \nL 271.801862 29.479056 \nL 272.776807 37.982641 \nL 273.751737 48.782822 \nL 275.051654 66.33022 \nL 276.676573 92.315697 \nL 278.95142 133.302564 \nL 282.201212 192.049651 \nL 283.826116 217.483594 \nL 285.126033 234.440224 \nL 286.100963 244.724968 \nL 287.075909 252.663808 \nL 287.725867 256.562499 \nL 288.375825 259.299231 \nL 289.025784 260.846412 \nL 289.350755 261.168679 \nL 289.675742 261.188735 \nL 290.000714 260.906554 \nL 290.325701 260.322738 \nL 290.975659 258.257122 \nL 291.625633 255.012362 \nL 292.275592 250.620951 \nL 293.250522 241.983238 \nL 294.225467 231.060712 \nL 295.525384 213.374333 \nL 297.150272 187.261801 \nL 299.425135 146.19434 \nL 302.674927 87.545601 \nL 304.299815 62.24924 \nL 305.599732 45.437761 \nL 306.574677 35.278619 \nL 307.549623 27.477078 \nL 308.199581 23.674758 \nL 308.84954 21.037174 \nL 309.499498 19.59087 \nL 309.824485 19.319396 \nL 310.149457 19.350182 \nL 310.474444 19.683204 \nL 310.799415 20.317573 \nL 311.449373 22.483298 \nL 312.099332 25.825727 \nL 312.74929 30.311671 \nL 313.724236 39.083282 \nL 314.699166 50.126764 \nL 315.999083 67.950756 \nL 317.623986 94.189657 \nL 319.898833 135.333916 \nL 323.148641 193.880611 \nL 324.773514 219.037624 \nL 326.073431 235.702755 \nL 327.048392 245.735594 \nL 328.023322 253.39909 \nL 328.673265 257.104811 \nL 329.323238 259.643116 \nL 329.973181 260.988482 \nL 330.298168 261.209175 \nL 330.623155 261.127559 \nL 330.948142 260.743792 \nL 331.273098 260.058967 \nL 331.923072 257.793277 \nL 332.573015 254.353299 \nL 333.22302 249.772943 \nL 334.19795 240.868496 \nL 335.17288 229.704291 \nL 336.472797 211.744251 \nL 338.097701 185.380835 \nL 340.372548 144.16222 \nL 343.622355 85.722578 \nL 345.247259 60.705249 \nL 346.547176 44.188112 \nL 347.522106 34.282869 \nL 348.497036 26.757765 \nL 349.14701 23.148849 \nL 349.796953 20.710148 \nL 350.12194 19.937651 \nL 350.446927 19.465876 \nL 350.771883 19.296 \nL 351.09687 19.428457 \nL 351.421857 19.862957 \nL 351.746844 20.598348 \nL 352.396787 22.963761 \nL 353.04676 26.501252 \nL 353.696703 31.175192 \nL 354.671633 40.212023 \nL 355.646594 51.496181 \nL 356.946511 69.59137 \nL 358.571384 96.076209 \nL 361.171218 143.413977 \nL 363.771052 190.25279 \nL 365.395986 215.94951 \nL 366.695903 233.185053 \nL 367.670833 243.713021 \nL 368.645794 251.917519 \nL 369.295737 256.003017 \nL 369.945711 258.93213 \nL 370.595654 260.675371 \nL 370.920641 261.096437 \nL 371.245628 261.215471 \nL 371.570584 261.032173 \nL 371.895571 260.546964 \nL 372.220558 259.761128 \nL 372.870501 257.2961 \nL 373.520475 253.661516 \nL 374.170418 248.893968 \nL 375.145379 239.725065 \nL 376.120308 228.322581 \nL 377.420225 210.093218 \nL 379.045098 183.487966 \nL 379.370085 177.787806 \nL 379.370085 177.787806 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482813 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd1432ef41a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,1], result_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Euler's method for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"a\": 1.,\"w\": 1.}\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"euler\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(4.5270e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-2.4322, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-0.1929, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-1.8558, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-1.6210, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.9097, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-4.3786, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(4.1739e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.7750, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-4.7117, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.2855, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-4.6512, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(3.3292e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-1.9476, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-4.7786, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(1.1075e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.4619, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-4.1053, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.2398, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.6427, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(3.2227e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2927, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.2822, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.4024, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.4214, requires_grad=True)}\n",
+      "Epoch: 10\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.3405, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-4.0005, requires_grad=True)}\n",
+      "Epoch: 11\t Loss: tensor(5.2558e-07, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-1.5829, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-4.3484, requires_grad=True)}\n",
+      "Epoch: 12\t Loss: tensor(2.9727e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0696, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.9735, requires_grad=True)}\n",
+      "Epoch: 13\t Loss: tensor(9.5041e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0153, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.9711, requires_grad=True)}\n",
+      "Epoch: 14\t Loss: tensor(5.1703e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.4543, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.0306, requires_grad=True)}\n",
+      "Epoch: 15\t Loss: tensor(4.6333e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2425, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.1199, requires_grad=True)}\n",
+      "Epoch: 16\t Loss: tensor(1.0890e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(1.0737, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.0614, requires_grad=True)}\n",
+      "Epoch: 17\t Loss: tensor(4.1453e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.7318, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.1605, requires_grad=True)}\n",
+      "Epoch: 18\t Loss: tensor(4.0322e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.6846, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.6746, requires_grad=True)}\n",
+      "Epoch: 19\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.4716, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.9486, requires_grad=True)}\n",
+      "Epoch: 20\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.4636, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.0513, requires_grad=True)}\n",
+      "Epoch: 21\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2133, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.0262, requires_grad=True)}\n",
+      "Epoch: 22\t Loss: tensor(9.1002e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2131, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.0550, requires_grad=True)}\n",
+      "Epoch: 23\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2561, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.1017, requires_grad=True)}\n",
+      "Epoch: 24\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.6285, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.1315, requires_grad=True)}\n",
+      "Epoch: 25\t Loss: tensor(8.0482e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.9587, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.8163, requires_grad=True)}\n",
+      "Epoch: 26\t Loss: tensor(5.4839e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.8753, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.4388, requires_grad=True)}\n",
+      "Epoch: 27\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3497, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2782, requires_grad=True)}\n",
+      "Epoch: 28\t Loss: tensor(1.1273e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1637, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2723, requires_grad=True)}\n",
+      "Epoch: 29\t Loss: tensor(6.0147e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0477, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.3468, requires_grad=True)}\n",
+      "Epoch: 30\t Loss: tensor(8.3584e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1129, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.3795, requires_grad=True)}\n",
+      "Epoch: 31\t Loss: tensor(7.6798e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0488, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.3675, requires_grad=True)}\n",
+      "Epoch: 32\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.3402, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.3180, requires_grad=True)}\n",
+      "Epoch: 33\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0959, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.3005, requires_grad=True)}\n",
+      "Epoch: 34\t Loss: tensor(9.6643e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0825, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.3338, requires_grad=True)}\n",
+      "Epoch: 35\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0977, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.4111, requires_grad=True)}\n",
+      "Epoch: 36\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.2193, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.4535, requires_grad=True)}\n",
+      "Epoch: 37\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.5342, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.5106, requires_grad=True)}\n",
+      "Epoch: 38\t Loss: tensor(2.8332e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.6357, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.3143, requires_grad=True)}\n",
+      "Epoch: 39\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.2803, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2216, requires_grad=True)}\n",
+      "Epoch: 40\t Loss: tensor(1.1408e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0466, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2106, requires_grad=True)}\n",
+      "Epoch: 41\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0309, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2120, requires_grad=True)}\n",
+      "Epoch: 42\t Loss: tensor(3.6971e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2747, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.2372, requires_grad=True)}\n",
+      "Epoch: 43\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.4057, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.3999, requires_grad=True)}\n",
+      "Epoch: 44\t Loss: tensor(7.4059e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2769, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.6607, requires_grad=True)}\n",
+      "Epoch: 45\t Loss: tensor(3.0574e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2911, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.8372, requires_grad=True)}\n",
+      "Epoch: 46\t Loss: tensor(4.4585e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.5236, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-2.9330, requires_grad=True)}\n",
+      "Epoch: 47\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3666, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.0814, requires_grad=True)}\n",
+      "Epoch: 48\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0783, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.1630, requires_grad=True)}\n",
+      "Epoch: 49\t Loss: tensor(7.5517e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0256, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.1735, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.5},\n",
+    "    max_epochs=50,\n",
+    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'a': Parameter containing:\n",
+       " tensor(0.0256, requires_grad=True),\n",
+       " 'w': Parameter containing:\n",
+       " tensor(-3.1735, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 8
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt=1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[0.0000e+00, 0.0000e+00],\n",
+       "        [2.5617e-04, 1.0000e-02],\n",
+       "        [5.1222e-04, 2.0000e-02],\n",
+       "        ...,\n",
+       "        [1.8023e-03, 9.9701e+00],\n",
+       "        [2.0520e-03, 9.9801e+00],\n",
+       "        [2.2998e-03, 9.9901e+00]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 9
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 415.527812 297.190125\" width=\"415.527812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:54:22.554357</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 415.527812 297.190125 \nL 415.527812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 51.207813 273.312 \nL 408.327813 273.312 \nL 408.327813 7.2 \nL 51.207813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m1e3d0a4ce4\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"67.44054\" xlink:href=\"#m1e3d0a4ce4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(64.25929 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"132.435578\" xlink:href=\"#m1e3d0a4ce4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(129.254328 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"197.430615\" xlink:href=\"#m1e3d0a4ce4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(194.249365 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"262.425653\" xlink:href=\"#m1e3d0a4ce4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(259.244403 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"327.420691\" xlink:href=\"#m1e3d0a4ce4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(324.239441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"392.415729\" xlink:href=\"#m1e3d0a4ce4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(386.053229 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mc0c790870a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"262.04937\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.008 -->\n      <g transform=\"translate(7.2 265.848589)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"306.445312\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"232.08083\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.006 -->\n      <g transform=\"translate(7.2 235.880049)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"306.445312\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"202.112289\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.004 -->\n      <g transform=\"translate(7.2 205.911508)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"306.445312\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"172.143749\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −0.002 -->\n      <g transform=\"translate(7.2 175.942968)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"306.445312\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"142.175208\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.000 -->\n      <g transform=\"translate(15.579688 145.974427)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"112.206668\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.002 -->\n      <g transform=\"translate(15.579688 116.005887)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"82.238127\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.004 -->\n      <g transform=\"translate(15.579688 86.037346)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"52.269587\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.006 -->\n      <g transform=\"translate(15.579688 56.068806)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"22.301046\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 0.008 -->\n      <g transform=\"translate(15.579688 26.100265)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p7696868489)\" d=\"M 67.44054 142.175208 \nL 71.665217 93.520546 \nL 73.940044 70.088011 \nL 75.56492 55.400879 \nL 77.189795 42.845793 \nL 78.489694 34.550794 \nL 79.464619 29.439587 \nL 80.439544 25.332087 \nL 81.414468 22.265497 \nL 82.064418 20.813501 \nL 82.714368 19.842527 \nL 83.364318 19.356482 \nL 83.689292 19.296 \nL 84.014268 19.357333 \nL 84.664218 19.845053 \nL 85.314168 20.817702 \nL 85.964118 22.271344 \nL 86.614067 24.200133 \nL 87.588992 27.966729 \nL 88.563917 32.750379 \nL 89.538841 38.507746 \nL 90.838741 47.607569 \nL 92.13864 58.198357 \nL 93.763515 73.27179 \nL 95.713364 93.545065 \nL 98.313163 123.06665 \nL 104.162713 190.53199 \nL 106.112562 210.445515 \nL 107.737436 225.129953 \nL 109.362311 237.681864 \nL 110.66221 245.974038 \nL 111.637135 251.082991 \nL 112.61206 255.18814 \nL 113.586984 258.252302 \nL 114.236934 259.702657 \nL 114.886884 260.671971 \nL 115.536834 261.156342 \nL 115.861808 261.215986 \nL 116.186783 261.153816 \nL 116.836733 260.664421 \nL 117.486683 259.690112 \nL 118.136633 258.234816 \nL 118.786582 256.304387 \nL 119.761507 252.535412 \nL 120.736432 247.74948 \nL 121.711356 241.989936 \nL 123.011256 232.887413 \nL 124.311155 222.294203 \nL 125.93603 207.218189 \nL 127.885879 186.942541 \nL 130.485678 157.419177 \nL 136.33523 89.955958 \nL 138.285079 70.044952 \nL 139.909953 55.363214 \nL 141.534828 42.814471 \nL 142.834727 34.525116 \nL 143.809652 29.418417 \nL 144.784577 25.315627 \nL 145.759501 22.253886 \nL 146.409451 20.805198 \nL 147.059401 19.837559 \nL 147.70935 19.354863 \nL 148.034325 19.296056 \nL 148.3593 19.359063 \nL 149.00925 19.850133 \nL 149.6592 20.826103 \nL 150.309149 22.283052 \nL 150.959099 24.215093 \nL 151.934024 27.986441 \nL 152.908949 32.774668 \nL 153.883873 38.536396 \nL 155.183773 47.641627 \nL 156.483672 58.237258 \nL 158.108547 73.315853 \nL 160.058396 93.593874 \nL 162.658195 123.119024 \nL 168.507743 190.580115 \nL 170.457592 210.488608 \nL 172.082466 225.167653 \nL 173.707341 237.713236 \nL 175.00724 245.999771 \nL 175.982165 251.104216 \nL 176.95709 255.204663 \nL 177.932014 258.263975 \nL 178.581964 259.711031 \nL 179.231914 260.677009 \nL 179.881863 261.15803 \nL 180.206838 261.216 \nL 180.531813 261.152155 \nL 181.181763 260.659411 \nL 181.831713 259.681767 \nL 182.481663 258.22317 \nL 183.131612 256.289504 \nL 184.106537 252.515777 \nL 185.081462 247.725267 \nL 186.381361 239.83254 \nL 187.681261 230.33736 \nL 189.306135 216.449993 \nL 190.931009 200.648204 \nL 193.205834 176.072907 \nL 196.780557 134.394451 \nL 200.355351 93.423121 \nL 202.630229 70.002103 \nL 204.255142 55.325919 \nL 205.880055 42.783749 \nL 207.179986 34.500297 \nL 208.154934 29.39835 \nL 209.129882 25.30052 \nL 210.104829 22.24395 \nL 210.754795 20.798765 \nL 211.40476 19.834684 \nL 212.054725 19.355589 \nL 212.379708 19.298596 \nL 212.70469 19.363404 \nL 213.354656 19.858101 \nL 214.004621 20.837686 \nL 214.654586 22.298222 \nL 215.304551 24.23382 \nL 216.279499 28.010374 \nL 217.254447 32.803632 \nL 218.554378 40.699869 \nL 219.854308 50.198287 \nL 221.479221 64.089254 \nL 223.104135 79.894036 \nL 225.379013 104.472338 \nL 228.953822 146.1523 \nL 232.528631 187.120913 \nL 234.803509 210.538086 \nL 236.428422 225.210656 \nL 238.053335 237.74857 \nL 239.353266 246.028226 \nL 240.328214 251.127159 \nL 241.303162 255.221828 \nL 242.27811 258.275153 \nL 242.928075 259.71812 \nL 243.57804 260.679967 \nL 244.228005 261.156816 \nL 244.552988 261.212693 \nL 244.877971 261.146754 \nL 245.527936 260.649824 \nL 246.177901 259.668007 \nL 246.827866 258.205266 \nL 247.477832 256.267497 \nL 248.452779 252.487755 \nL 249.427727 247.691433 \nL 250.727658 239.791345 \nL 252.027588 230.289389 \nL 253.652501 216.394556 \nL 255.277415 200.586592 \nL 257.552293 176.005151 \nL 261.127102 134.323645 \nL 264.701911 93.357766 \nL 266.976789 69.944419 \nL 268.601702 55.275471 \nL 270.226615 42.741799 \nL 271.526546 34.465933 \nL 272.501494 29.370042 \nL 273.476442 25.278513 \nL 274.45139 22.228446 \nL 275.101355 20.787684 \nL 275.75132 19.828069 \nL 276.401285 19.353454 \nL 276.726268 19.298707 \nL 277.051251 19.365776 \nL 277.701216 19.864967 \nL 278.351181 20.849017 \nL 279.001146 22.313963 \nL 279.651112 24.253916 \nL 280.62606 28.036854 \nL 281.601007 32.836239 \nL 282.900938 40.740186 \nL 284.200868 50.245672 \nL 285.825782 64.14437 \nL 287.450695 79.955523 \nL 289.725573 104.540115 \nL 293.300382 146.223162 \nL 296.875191 187.18631 \nL 299.150069 210.595833 \nL 300.774982 225.261153 \nL 302.399896 237.790561 \nL 303.699826 246.062646 \nL 304.674774 251.155516 \nL 305.649722 255.243884 \nL 306.62467 258.290699 \nL 307.274635 259.729242 \nL 307.9246 260.68661 \nL 308.574566 261.158965 \nL 308.899548 261.212595 \nL 309.224531 261.14441 \nL 309.874496 260.642986 \nL 310.524461 259.656703 \nL 311.174427 258.189545 \nL 311.824392 256.247415 \nL 312.79934 252.461282 \nL 313.774288 247.65882 \nL 315.074218 239.751021 \nL 316.374149 230.241997 \nL 317.999062 216.339426 \nL 319.623975 200.525099 \nL 321.898853 175.937374 \nL 325.473662 134.252793 \nL 329.048456 93.292368 \nL 331.323334 69.886666 \nL 332.948247 55.224939 \nL 334.57316 42.699766 \nL 335.873091 34.431449 \nL 336.848039 29.341587 \nL 337.822986 25.256366 \nL 338.797934 22.212788 \nL 339.4479 20.776422 \nL 340.097865 19.821259 \nL 340.74783 19.351137 \nL 341.072813 19.298638 \nL 341.397795 19.367953 \nL 342.047761 19.871624 \nL 342.697726 20.860126 \nL 343.347691 22.329481 \nL 343.997656 24.273774 \nL 344.972604 28.063068 \nL 345.947552 32.86858 \nL 347.247483 40.780202 \nL 348.547413 50.292722 \nL 350.172326 64.199152 \nL 351.797239 80.01664 \nL 354.072118 104.60749 \nL 357.646927 146.293594 \nL 361.221736 187.251282 \nL 363.496614 210.653147 \nL 365.121527 225.311245 \nL 366.74644 237.832162 \nL 368.046371 246.09669 \nL 369.021319 251.183531 \nL 369.996267 255.265584 \nL 370.971214 258.30591 \nL 371.62118 259.740057 \nL 372.271145 260.692987 \nL 372.92111 261.160863 \nL 373.246093 261.212246 \nL 373.571075 261.141814 \nL 374.221041 260.635897 \nL 374.871006 259.645162 \nL 375.520971 258.173601 \nL 376.170936 256.227132 \nL 377.145884 252.434648 \nL 378.120832 247.62606 \nL 379.420763 239.710586 \nL 380.720693 230.194536 \nL 382.345606 216.28424 \nL 384.295502 197.104455 \nL 386.570381 172.183732 \nL 392.095085 107.714264 \nL 392.095085 107.714264 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 51.207813 273.312 \nL 51.207813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 408.327813 273.312 \nL 408.327813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 51.207813 273.312 \nL 408.327813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 51.207813 7.2 \nL 408.327813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p7696868489\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"51.207813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "source": [
+    "# Runge-Kutta for training"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"a\": 1.,\"w\": 1.}\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "Epoch: 0\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0997, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(4.6741, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1854, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(6.2720, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(1.3846e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-1.9322, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(6.2679, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(5.9804e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0151, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(3.5418, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(2.1066e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.5775, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.7847, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3544, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(2.4311, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(8.1897e-08, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3198, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(3.5560, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(1.7646e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1638, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(3.3414, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(2.2373e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-1.3302, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(2.2808, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0128, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-0.9907, requires_grad=True)}\n",
+      "Epoch: 10\t Loss: tensor(2.7092e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(1.1079, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-3.4621, requires_grad=True)}\n",
+      "Epoch: 11\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(1.0649, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-4.8681, requires_grad=True)}\n",
+      "Epoch: 12\t Loss: tensor(5.8265e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(2.7937, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-4.8530, requires_grad=True)}\n",
+      "Epoch: 13\t Loss: tensor(9.6760e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.7413, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-6.1892, requires_grad=True)}\n",
+      "Epoch: 14\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0507, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.1093, requires_grad=True)}\n",
+      "Epoch: 15\t Loss: tensor(2.0103e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(1.1409, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-8.2856, requires_grad=True)}\n",
+      "Epoch: 16\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.7276, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-9.8825, requires_grad=True)}\n",
+      "Epoch: 17\t Loss: tensor(1.8564e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.2852, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-9.2050, requires_grad=True)}\n",
+      "Epoch: 18\t Loss: tensor(6.2649e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.1306, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-8.8655, requires_grad=True)}\n",
+      "Epoch: 19\t Loss: tensor(1.1148e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.8712, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.8213, requires_grad=True)}\n",
+      "Epoch: 20\t Loss: tensor(6.4303e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3711, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.6783, requires_grad=True)}\n",
+      "Epoch: 21\t Loss: tensor(3.6406e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1566, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.6576, requires_grad=True)}\n",
+      "Epoch: 22\t Loss: tensor(4.8942e-08, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0450, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.7096, requires_grad=True)}\n",
+      "Epoch: 23\t Loss: tensor(7.1799e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0168, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.7070, requires_grad=True)}\n",
+      "Epoch: 24\t Loss: tensor(1.0641e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1109, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.7094, requires_grad=True)}\n",
+      "Epoch: 25\t Loss: tensor(4.6307e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1617, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.6906, requires_grad=True)}\n",
+      "Epoch: 26\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0050, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.6407, requires_grad=True)}\n",
+      "Epoch: 27\t Loss: tensor(2.1823e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0981, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.6197, requires_grad=True)}\n",
+      "Epoch: 28\t Loss: tensor(1.3576e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.1332, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.5929, requires_grad=True)}\n",
+      "Epoch: 29\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0645, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.5776, requires_grad=True)}\n",
+      "Epoch: 30\t Loss: tensor(9.3135e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2605, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.5727, requires_grad=True)}\n",
+      "Epoch: 31\t Loss: tensor(5.1299e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2823, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.6115, requires_grad=True)}\n",
+      "Epoch: 32\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1129, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.6248, requires_grad=True)}\n",
+      "Epoch: 33\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1549, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.6662, requires_grad=True)}\n",
+      "Epoch: 34\t Loss: tensor(5.8770e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.3164, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.6577, requires_grad=True)}\n",
+      "Epoch: 35\t Loss: tensor(2.4644e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.4008, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.6906, requires_grad=True)}\n",
+      "Epoch: 36\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2954, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.7434, requires_grad=True)}\n",
+      "Epoch: 37\t Loss: tensor(1.2589e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.4092, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.7065, requires_grad=True)}\n",
+      "Epoch: 38\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.4456, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.5781, requires_grad=True)}\n",
+      "Epoch: 39\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.2274, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.4923, requires_grad=True)}\n",
+      "Epoch: 40\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0936, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.4958, requires_grad=True)}\n",
+      "Epoch: 41\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.0102, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.4707, requires_grad=True)}\n",
+      "Epoch: 42\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.1084, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.4729, requires_grad=True)}\n",
+      "Epoch: 43\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0882, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.5021, requires_grad=True)}\n",
+      "Epoch: 44\t Loss: tensor(7.8101e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0559, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.5200, requires_grad=True)}\n",
+      "Epoch: 45\t Loss: tensor(1.7299e-05, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.4571, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.5471, requires_grad=True)}\n",
+      "Epoch: 46\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.7655, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.5353, requires_grad=True)}\n",
+      "Epoch: 47\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.5684, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-7.9033, requires_grad=True)}\n",
+      "Epoch: 48\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0502, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-8.0365, requires_grad=True)}\n",
+      "Epoch: 49\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.2824, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(-8.0455, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.5},\n",
+    "    max_epochs=50,\n",
+    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "{'a': Parameter containing:\n",
+       " tensor(-0.2824, requires_grad=True),\n",
+       " 'w': Parameter containing:\n",
+       " tensor(-8.0455, requires_grad=True)}"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 13
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs"
+   ]
+  },
+  {
+   "source": [
+    "# Predictions for nt = 1000"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000e+00,  0.0000e+00],\n",
+       "        [-2.8206e-03,  1.0000e-02],\n",
+       "        [-5.6229e-03,  2.0000e-02],\n",
+       "        ...,\n",
+       "        [ 3.4903e-02,  9.9701e+00],\n",
+       "        [ 3.4496e-02,  9.9801e+00],\n",
+       "        [ 3.3866e-02,  9.9901e+00]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 14
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:54:26.067708</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m44b4a3781b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m44b4a3781b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m44b4a3781b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m44b4a3781b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m44b4a3781b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m44b4a3781b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m44b4a3781b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m7eadc42537\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7eadc42537\" y=\"243.654919\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.03 -->\n      <g transform=\"translate(7.2 247.454138)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7eadc42537\" y=\"209.188585\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 212.987804)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7eadc42537\" y=\"174.722251\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.01 -->\n      <g transform=\"translate(7.2 178.521469)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7eadc42537\" y=\"140.255917\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055135)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7eadc42537\" y=\"105.789582\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.01 -->\n      <g transform=\"translate(15.579688 109.588801)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7eadc42537\" y=\"71.323248\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 75.122467)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7eadc42537\" y=\"36.856914\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.03 -->\n      <g transform=\"translate(15.579688 40.656133)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pcd9cf01d6a)\" d=\"M 61.07804 140.255917 \nL 63.027891 196.40592 \nL 64.327791 227.410597 \nL 65.302717 244.933527 \nL 65.952667 253.292718 \nL 66.602618 258.731452 \nL 66.927593 260.308669 \nL 67.252569 261.109199 \nL 67.577544 261.127868 \nL 67.90252 260.364547 \nL 68.227495 258.824167 \nL 68.877446 253.457092 \nL 69.527395 245.16531 \nL 70.177345 234.163046 \nL 71.15227 213.216696 \nL 72.452169 178.955146 \nL 76.676843 60.472546 \nL 77.651768 41.053152 \nL 78.301718 31.245687 \nL 78.951668 24.254645 \nL 79.601618 20.260635 \nL 79.926592 19.422882 \nL 80.251567 19.366862 \nL 80.576542 20.092948 \nL 80.901517 21.596427 \nL 81.551467 26.891716 \nL 82.201417 35.115922 \nL 82.851366 46.056556 \nL 83.826291 66.925046 \nL 85.126191 101.116757 \nL 89.350864 219.689418 \nL 90.325789 239.192013 \nL 90.975738 249.063882 \nL 91.625688 256.124541 \nL 92.275638 260.191584 \nL 92.600613 261.066546 \nL 92.925588 261.159916 \nL 93.250563 260.471091 \nL 93.575537 259.004527 \nL 94.225489 253.781102 \nL 94.875439 245.624599 \nL 95.525389 234.745757 \nL 96.500313 213.955422 \nL 97.800213 179.834053 \nL 102.024886 61.173074 \nL 102.999811 41.587573 \nL 103.649761 31.651473 \nL 104.29971 24.5213 \nL 104.94966 20.381302 \nL 105.274635 19.469143 \nL 105.59961 19.338422 \nL 105.924585 19.989973 \nL 106.24956 21.419585 \nL 106.899509 26.571057 \nL 107.549459 34.659715 \nL 108.199409 45.476592 \nL 109.174334 66.188457 \nL 110.474233 100.238973 \nL 114.698906 218.986528 \nL 115.673831 238.654665 \nL 116.323781 248.654873 \nL 116.973731 255.854445 \nL 117.62368 260.067372 \nL 117.948655 261.016728 \nL 118.27363 261.184812 \nL 118.598605 260.570535 \nL 118.92358 259.177876 \nL 119.248555 257.015848 \nL 119.898505 250.44451 \nL 120.548454 241.026307 \nL 121.523379 222.112015 \nL 122.498304 198.452095 \nL 124.123178 152.289883 \nL 126.722981 77.65211 \nL 127.697906 54.727321 \nL 128.67283 36.761068 \nL 129.32278 28.066459 \nL 129.97273 22.270409 \nL 130.297705 20.509199 \nL 130.622679 19.522685 \nL 130.947654 19.317263 \nL 131.272629 19.894266 \nL 131.597604 21.249947 \nL 131.922579 23.375548 \nL 132.572529 29.876589 \nL 133.222478 39.229438 \nL 134.197403 58.058597 \nL 135.172328 81.65315 \nL 136.797202 127.760061 \nL 139.397001 202.462013 \nL 140.371926 225.45561 \nL 141.34685 243.509751 \nL 141.9968 252.271075 \nL 142.64675 258.138347 \nL 142.971725 259.936292 \nL 143.2967 260.959963 \nL 143.621675 261.202737 \nL 143.946649 260.663032 \nL 144.271624 259.344343 \nL 144.596599 257.255219 \nL 145.246549 250.824579 \nL 145.896499 241.537257 \nL 146.871423 222.793572 \nL 147.846348 199.264771 \nL 149.471222 153.213859 \nL 152.071021 78.44882 \nL 153.045946 55.386756 \nL 154.020871 37.24499 \nL 154.67082 28.417073 \nL 155.32077 22.478656 \nL 155.645745 20.644003 \nL 155.97072 19.583199 \nL 156.295695 19.303075 \nL 156.62067 19.805467 \nL 156.945645 21.087127 \nL 157.27062 23.139747 \nL 157.920569 29.499884 \nL 158.570519 38.721544 \nL 159.545444 57.379492 \nL 160.520368 80.842213 \nL 162.145243 126.836435 \nL 164.745042 201.66346 \nL 165.719966 224.793659 \nL 166.694891 243.022786 \nL 167.344841 251.917148 \nL 167.994791 257.926595 \nL 168.319765 259.797918 \nL 168.64474 260.895855 \nL 168.969715 261.213317 \nL 169.29469 260.748237 \nL 169.619665 259.503619 \nL 169.94464 257.487541 \nL 170.59459 251.198009 \nL 171.244539 242.042146 \nL 172.219464 223.470206 \nL 173.194389 200.073917 \nL 174.819263 154.137062 \nL 177.419062 79.249145 \nL 178.393987 56.051147 \nL 179.368911 37.734941 \nL 180.018861 28.774248 \nL 180.668811 22.693837 \nL 180.993786 20.785856 \nL 181.318761 19.6508 \nL 181.643735 19.296 \nL 181.96871 19.723755 \nL 182.293685 20.931304 \nL 182.61866 22.910841 \nL 183.26861 29.12969 \nL 183.91856 38.219627 \nL 184.893484 56.705278 \nL 185.868409 80.034788 \nL 187.493283 125.913604 \nL 190.093082 200.861306 \nL 191.068007 224.126751 \nL 192.042955 242.529728 \nL 192.69292 251.556481 \nL 193.342885 257.707562 \nL 193.667868 259.652033 \nL 193.992851 260.824042 \nL 194.317833 261.216 \nL 194.642816 260.825378 \nL 194.967799 259.654717 \nL 195.292781 257.711555 \nL 195.942746 251.563003 \nL 196.592712 242.538607 \nL 197.56766 224.138731 \nL 198.542607 200.875629 \nL 200.167521 155.054806 \nL 202.767382 80.049425 \nL 203.742329 56.718125 \nL 204.717277 38.230284 \nL 205.367243 29.138755 \nL 206.017208 22.918275 \nL 206.34219 20.937929 \nL 206.667173 19.729571 \nL 206.992156 19.301007 \nL 207.317138 19.655024 \nL 207.642121 20.789322 \nL 207.967104 22.696559 \nL 208.617069 28.775622 \nL 209.267034 37.73512 \nL 210.241982 56.049869 \nL 211.21693 79.246821 \nL 212.841843 125.009422 \nL 215.441704 200.071285 \nL 216.416652 223.468055 \nL 217.3916 242.040503 \nL 218.041565 251.196686 \nL 218.69153 257.486475 \nL 219.016513 259.502682 \nL 219.341496 260.747376 \nL 219.666478 261.212533 \nL 219.991461 260.895136 \nL 220.316443 259.797225 \nL 220.641426 257.925914 \nL 221.291391 251.916429 \nL 221.941357 243.02197 \nL 222.916304 224.792619 \nL 223.891252 201.662138 \nL 225.516165 155.958412 \nL 228.116026 80.841134 \nL 229.415957 50.566562 \nL 230.390905 33.767611 \nL 231.04087 25.952478 \nL 231.690835 21.090735 \nL 232.015818 19.809704 \nL 232.340801 19.307967 \nL 232.665783 19.588758 \nL 232.990766 20.650256 \nL 233.315749 22.485602 \nL 233.965714 28.425419 \nL 234.615679 37.254723 \nL 235.590627 55.398427 \nL 236.565575 78.462103 \nL 238.190488 124.106325 \nL 240.790349 199.277951 \nL 242.090279 229.643436 \nL 243.065227 246.531853 \nL 243.715193 254.413958 \nL 244.365158 259.346551 \nL 244.69014 260.66388 \nL 245.015123 261.20221 \nL 245.340106 260.958037 \nL 245.665088 259.932953 \nL 245.990071 258.133596 \nL 246.640036 252.263538 \nL 247.290001 243.499511 \nL 247.939967 232.06799 \nL 248.914915 210.582238 \nL 250.214845 175.843153 \nL 254.114637 65.441693 \nL 255.089585 44.891795 \nL 255.73955 34.202608 \nL 256.389515 26.253646 \nL 257.03948 21.250255 \nL 257.364463 19.896642 \nL 257.689446 19.321744 \nL 258.014428 19.529285 \nL 258.339411 20.51793 \nL 258.664393 22.281271 \nL 259.314359 28.081507 \nL 259.964324 36.780116 \nL 260.614289 48.152337 \nL 261.589237 69.563901 \nL 262.889168 104.238026 \nL 266.788959 214.716123 \nL 267.763907 235.343573 \nL 268.413872 246.093832 \nL 269.063838 254.109567 \nL 269.713803 259.183641 \nL 270.038785 260.573527 \nL 270.363768 261.184979 \nL 270.688751 261.014057 \nL 271.013733 260.061864 \nL 271.338716 258.334551 \nL 271.988681 252.60424 \nL 272.638646 243.971159 \nL 273.288612 232.658386 \nL 274.26356 211.321311 \nL 275.56349 176.712668 \nL 279.463282 66.159497 \nL 280.438229 45.454771 \nL 281.088195 34.643588 \nL 281.73816 26.561234 \nL 282.388125 21.416517 \nL 282.713108 19.990397 \nL 283.038091 19.342377 \nL 283.363073 19.47668 \nL 283.688056 20.392409 \nL 284.013038 22.083642 \nL 284.663004 27.743964 \nL 285.312969 36.311402 \nL 285.962934 47.564554 \nL 286.937882 68.826838 \nL 288.237813 103.369532 \nL 292.137604 213.996201 \nL 293.112552 234.777907 \nL 293.762517 245.649848 \nL 294.412482 253.798731 \nL 295.062448 259.014015 \nL 295.38743 260.476356 \nL 295.712413 261.160918 \nL 296.037396 261.063259 \nL 296.362378 260.183995 \nL 296.687361 258.528841 \nL 297.337326 252.938598 \nL 297.987291 244.436945 \nL 298.637257 233.243575 \nL 299.612204 212.056384 \nL 300.912135 177.580129 \nL 304.811927 66.881532 \nL 305.786874 46.023153 \nL 306.761822 30.628302 \nL 307.411788 23.855869 \nL 308.061753 20.090983 \nL 308.386735 19.369893 \nL 308.711718 19.430933 \nL 309.036701 20.273693 \nL 309.361683 21.892754 \nL 310.011649 27.412841 \nL 310.661614 35.848582 \nL 311.311579 46.982029 \nL 312.286527 68.093832 \nL 313.586457 102.503147 \nL 317.486249 213.272112 \nL 318.461197 234.20688 \nL 319.436145 249.69471 \nL 320.08611 256.535759 \nL 320.736075 260.372393 \nL 321.061042 261.130025 \nL 321.386025 261.105668 \nL 321.711008 260.299437 \nL 322.03599 258.716532 \nL 322.685956 253.266756 \nL 323.335921 244.897094 \nL 323.985886 233.823808 \nL 324.960834 212.787798 \nL 326.260764 178.445984 \nL 330.485539 60.070579 \nL 331.460486 40.74862 \nL 332.110452 31.01655 \nL 332.760417 24.106975 \nL 333.410382 20.198503 \nL 333.735365 19.404329 \nL 334.060347 19.392092 \nL 334.38533 20.161807 \nL 334.710313 21.70853 \nL 335.360278 27.088022 \nL 336.010243 35.391565 \nL 336.660209 46.404576 \nL 337.635156 67.3646 \nL 338.935087 101.638521 \nL 343.159861 220.104231 \nL 344.134809 239.508101 \nL 344.784774 249.30351 \nL 345.434739 256.281443 \nL 346.084705 260.261586 \nL 346.409687 261.092277 \nL 346.73467 261.14117 \nL 347.059653 260.407946 \nL 347.384635 258.897405 \nL 348.0346 253.588288 \nL 348.684566 245.351023 \nL 349.334531 234.398397 \nL 350.309479 213.51466 \nL 351.609409 179.309146 \nL 355.834184 60.754769 \nL 356.809131 41.269257 \nL 357.459097 31.410703 \nL 358.109062 24.364514 \nL 358.759027 20.3127 \nL 359.08401 19.445557 \nL 359.408992 19.360019 \nL 359.733975 20.056689 \nL 360.058958 21.53106 \nL 360.708923 26.769674 \nL 361.358888 34.940583 \nL 362.008853 45.832657 \nL 362.983801 66.639811 \nL 364.283732 100.77644 \nL 368.508506 219.417794 \nL 369.483454 238.984665 \nL 370.133419 248.906236 \nL 370.783384 256.02063 \nL 371.43335 260.144 \nL 371.758332 261.047646 \nL 372.083315 261.169777 \nL 372.408298 260.509662 \nL 372.73328 259.071524 \nL 373.383245 253.903413 \nL 374.033211 245.798981 \nL 374.683176 234.967659 \nL 375.658124 214.237382 \nL 376.958054 180.170104 \nL 381.182828 61.443491 \nL 382.157776 41.795531 \nL 382.807742 31.811045 \nL 383.457707 24.628588 \nL 384.107672 20.433727 \nL 384.432655 19.49359 \nL 384.757637 19.334802 \nL 385.08262 19.958401 \nL 385.407603 21.360279 \nL 385.732585 23.531422 \nL 385.732585 23.531422 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pcd9cf01d6a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/png": "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\n"
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  },
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file

From 3b4b84a49f623ae327143cb04ad61ec15afd88b5 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Tue, 24 Aug 2021 11:59:23 -0400
Subject: [PATCH 40/73] Update a_Cos_wt_sin_dataset_fitRandomSample.ipynb

---
 .../DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb b/examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb
index 067fb1b6..ff353945 100644
--- a/examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb
+++ b/examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb
@@ -30,7 +30,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# x'(t) = 3 sin (5t)\n",
+    "# x'(t) = 3 cos (5t)\n",
     "dt = 0.01\n",
     "\n",
     "def x_prime(prev_val, coeffs):\n",

From c42b1c2af7d85d17c9a2c0dbcf476b77ecafd2ec Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Sat, 28 Aug 2021 00:05:48 +0000
Subject: [PATCH 41/73] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 .../Cos_wt_fitRandomSample.ipynb              |  2 +-
 .../Cos_wt_sin_dataset_fitRandomSample.ipynb  |  2 +-
 .../ode/DuffingEquation/DuffingTest_fit.ipynb |  2 +-
 .../DuffingTest_fitRandomSample.ipynb         |  2 +-
 .../DuffingTest_fitRandomSample_with_w.ipynb  |  2 +-
 ...ffingTest_fitRandomSample_with_w_RK4.ipynb |  2 +-
 .../DuffingTest_fit_with_w.ipynb              |  2 +-
 .../a_Cos_wt_fitRandomSample.ipynb            |  2 +-
 ...a_Cos_wt_sin_dataset_fitRandomSample.ipynb |  2 +-
 examples/ode/README.md                        |  2 +-
 examples/ode/SEIR/SEIRTest_fit.ipynb          |  2 +-
 .../ode/SEIR/SEIRTest_fitRandomSample.ipynb   |  2 +-
 .../SEIR/SEIRTest_fitRandomSample_RK4.ipynb   |  2 +-
 examples/ode/lorenz63/Lorenz63Train_fit.ipynb |  2 +-
 .../Lorenz63Train_fitRandomSample.ipynb       |  2 +-
 .../Lorenz63Train_fitRandomSample_RK4.ipynb   |  2 +-
 ...nz63_Euler_Train_fitRandomSample_RK4.ipynb |  2 +-
 torchts/nn/models/ode.py                      | 53 ++++++++++++-------
 18 files changed, 52 insertions(+), 35 deletions(-)

diff --git a/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb b/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb
index 881809ba..0c4f4c32 100644
--- a/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb
+++ b/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb
@@ -706,4 +706,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/examples/ode/DuffingEquation/Cos_wt_sin_dataset_fitRandomSample.ipynb b/examples/ode/DuffingEquation/Cos_wt_sin_dataset_fitRandomSample.ipynb
index b60e77cd..a3cb7a72 100644
--- a/examples/ode/DuffingEquation/Cos_wt_sin_dataset_fitRandomSample.ipynb
+++ b/examples/ode/DuffingEquation/Cos_wt_sin_dataset_fitRandomSample.ipynb
@@ -697,4 +697,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/examples/ode/DuffingEquation/DuffingTest_fit.ipynb b/examples/ode/DuffingEquation/DuffingTest_fit.ipynb
index bbea4960..403e598b 100644
--- a/examples/ode/DuffingEquation/DuffingTest_fit.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_fit.ipynb
@@ -717,4 +717,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
index d169d099..bb6710a5 100644
--- a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
@@ -398,4 +398,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb
index 7db9ea26..d86a989c 100644
--- a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb
@@ -397,4 +397,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
index ddfaa625..276b3bdd 100644
--- a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
@@ -397,4 +397,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb b/examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb
index 22ff5a55..b323fa4f 100644
--- a/examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb
@@ -711,4 +711,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/examples/ode/DuffingEquation/a_Cos_wt_fitRandomSample.ipynb b/examples/ode/DuffingEquation/a_Cos_wt_fitRandomSample.ipynb
index 2a20120f..4aa3a9a2 100644
--- a/examples/ode/DuffingEquation/a_Cos_wt_fitRandomSample.ipynb
+++ b/examples/ode/DuffingEquation/a_Cos_wt_fitRandomSample.ipynb
@@ -810,4 +810,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb b/examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb
index ff353945..cd4e51ca 100644
--- a/examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb
+++ b/examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb
@@ -775,4 +775,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/examples/ode/README.md b/examples/ode/README.md
index 7c28e58e..d5901d3e 100644
--- a/examples/ode/README.md
+++ b/examples/ode/README.md
@@ -16,4 +16,4 @@ SEIR:
 
 ![alt text](https://miro.medium.com/max/1056/1*dXCHv_pSYiMG90efXiFNPQ.png)
 
-Parameters to estimate: $\alpha, \beta, \gamma$
\ No newline at end of file
+Parameters to estimate: $\alpha, \beta, \gamma$
diff --git a/examples/ode/SEIR/SEIRTest_fit.ipynb b/examples/ode/SEIR/SEIRTest_fit.ipynb
index 23b7827b..fdf2724a 100644
--- a/examples/ode/SEIR/SEIRTest_fit.ipynb
+++ b/examples/ode/SEIR/SEIRTest_fit.ipynb
@@ -736,4 +736,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb b/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
index 7603ffa1..e4a625f4 100644
--- a/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
+++ b/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
@@ -438,4 +438,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/examples/ode/SEIR/SEIRTest_fitRandomSample_RK4.ipynb b/examples/ode/SEIR/SEIRTest_fitRandomSample_RK4.ipynb
index b1ea380c..9e99d3b4 100644
--- a/examples/ode/SEIR/SEIRTest_fitRandomSample_RK4.ipynb
+++ b/examples/ode/SEIR/SEIRTest_fitRandomSample_RK4.ipynb
@@ -438,4 +438,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/examples/ode/lorenz63/Lorenz63Train_fit.ipynb b/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
index 1048385d..2d60ae71 100644
--- a/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
@@ -743,4 +743,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
index 098b0cb2..2ac0bcac 100644
--- a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
@@ -408,4 +408,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb
index 68ed38c7..1b8cb3d4 100644
--- a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb
@@ -537,4 +537,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb b/examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb
index a0a03744..6658555e 100644
--- a/examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb
+++ b/examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb
@@ -701,4 +701,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
\ No newline at end of file
+}
diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 117c30a8..b7ddfd60 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -54,9 +54,7 @@ def runge_kutta_4_step(self, prev_val):
             )
 
         for var in self.var_names:
-            k_3[var] = (
-                prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt
-            )
+            k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt
 
         for var in self.var_names:
             k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs) * self.dt
@@ -72,7 +70,7 @@ def runge_kutta_4_step(self, prev_val):
                 )
                 * self.dt
             )
-        
+
         return pred
 
     def solver(self, nt):
@@ -93,9 +91,16 @@ def forward(self, nt):
 
     def get_coeffs(self):
         return {name: param.item() for name, param in self.named_parameters()}
-    
 
-    def fit(self, x, optim, optim_params=None, max_epochs=10, scheduler=None, scheduler_params=None):
+    def fit(
+        self,
+        x,
+        optim,
+        optim_params=None,
+        max_epochs=10,
+        scheduler=None,
+        scheduler_params=None,
+    ):
         """Fits model to the given data by comparing the whole dataset
 
         Args:
@@ -129,11 +134,20 @@ def fit(self, x, optim, optim_params=None, max_epochs=10, scheduler=None, schedu
                 optimizer.step()
             if scheduler is not None:
                 lr_scheduler.step()
-            
+
             print("Epoch: " + str(epoch) + "\t Loss: " + str(loss))
             print(self.coeffs)
 
-    def fit_random_sample(self, x, optim, optim_params=None, max_epochs=10, batch_size=64, scheduler=None, scheduler_params=None):
+    def fit_random_sample(
+        self,
+        x,
+        optim,
+        optim_params=None,
+        max_epochs=10,
+        batch_size=64,
+        scheduler=None,
+        scheduler_params=None,
+    ):
         """Fits model to the given data by using random samples for each batch
 
         Args:
@@ -165,33 +179,36 @@ def fit_random_sample(self, x, optim, optim_params=None, max_epochs=10, batch_si
 
                 n = data[0].shape[0]
 
-                if n<3:
+                if n < 3:
                     continue
 
                 # Takes a random data point from "data"
-                ri = torch.randint(low=0,high=n-2,size=()).item()
-                single_point = data[0][ri:ri+1,:]
-                init_point = {var: single_point[0,i] for i,var in enumerate(self.var_names)}
+                ri = torch.randint(low=0, high=n - 2, size=()).item()
+                single_point = data[0][ri : ri + 1, :]
+                init_point = {
+                    var: single_point[0, i] for i, var in enumerate(self.var_names)
+                }
 
-                pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
+                pred = {
+                    name: value.unsqueeze(0) for name, value in self.init_vars.items()
+                }
 
                 pred = self.step_solver(init_point)
-                
+
                 predictions = torch.stack([pred[var] for var in self.outvar], dim=0)
 
                 # Compare numerical integration data with next data point
-                loss = self.criterion(predictions, data[0][ri+1,:])
+                loss = self.criterion(predictions, data[0][ri + 1, :])
 
                 loss.backward(retain_graph=True)
                 optimizer.step()
-            
+
             if scheduler is not None:
                 lr_scheduler.step()
-            
+
             print("Epoch: " + str(epoch) + "\t Loss: " + str(loss))
             print(self.coeffs)
 
-
     def _step(self, batch, batch_idx, num_batches):
         (x,) = batch
         nt = x.shape[0]

From 745373711d242ffe084ce7b42b32c6eea353cd97 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 27 Aug 2021 20:32:17 -0400
Subject: [PATCH 42/73] Fixed linting issues

---
 torchts/nn/models/ode.py | 9 +--------
 1 file changed, 1 insertion(+), 8 deletions(-)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index b7ddfd60..15a87812 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -61,14 +61,7 @@ def runge_kutta_4_step(self, prev_val):
 
         for var in self.var_names:
             pred[var] = (
-                prev_val[var]
-                + (
-                    self.ode[var](k_1, self.coeffs) / 6
-                    + self.ode[var](k_2, self.coeffs) / 3
-                    + self.ode[var](k_3, self.coeffs) / 3
-                    + self.ode[var](k_4, self.coeffs) / 6
-                )
-                * self.dt
+                prev_val[var] + (self.ode[var](k_1, self.coeffs) / 6 + self.ode[var](k_2, self.coeffs) / 3 + self.ode[var](k_3, self.coeffs) / 3 + self.ode[var](k_4, self.coeffs) / 6) * self.dt
             )
 
         return pred

From 6be5f796f69996334942f50752a8ed403a96af9b Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Sat, 28 Aug 2021 00:32:32 +0000
Subject: [PATCH 43/73] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 torchts/nn/models/ode.py | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 15a87812..b7ddfd60 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -61,7 +61,14 @@ def runge_kutta_4_step(self, prev_val):
 
         for var in self.var_names:
             pred[var] = (
-                prev_val[var] + (self.ode[var](k_1, self.coeffs) / 6 + self.ode[var](k_2, self.coeffs) / 3 + self.ode[var](k_3, self.coeffs) / 3 + self.ode[var](k_4, self.coeffs) / 6) * self.dt
+                prev_val[var]
+                + (
+                    self.ode[var](k_1, self.coeffs) / 6
+                    + self.ode[var](k_2, self.coeffs) / 3
+                    + self.ode[var](k_3, self.coeffs) / 3
+                    + self.ode[var](k_4, self.coeffs) / 6
+                )
+                * self.dt
             )
 
         return pred

From 114c85596f9d8b2a9afd99ff90885c62b3dc0be2 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 27 Aug 2021 20:36:02 -0400
Subject: [PATCH 44/73] Fixed linting issues

---
 torchts/nn/models/ode.py | 10 +---------
 1 file changed, 1 insertion(+), 9 deletions(-)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index b7ddfd60..bca37d0f 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -60,15 +60,7 @@ def runge_kutta_4_step(self, prev_val):
             k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs) * self.dt
 
         for var in self.var_names:
-            pred[var] = (
-                prev_val[var]
-                + (
-                    self.ode[var](k_1, self.coeffs) / 6
-                    + self.ode[var](k_2, self.coeffs) / 3
-                    + self.ode[var](k_3, self.coeffs) / 3
-                    + self.ode[var](k_4, self.coeffs) / 6
-                )
-                * self.dt
+            pred[var] = (prev_val[var] + (self.ode[var](k_1, self.coeffs) / 6 + self.ode[var](k_2, self.coeffs) / 3 + self.ode[var](k_3, self.coeffs) / 3 + self.ode[var](k_4, self.coeffs) / 6 ) * self.dt
             )
 
         return pred

From dc37944dab035a6cc1cae061a9da4586b046fe9c Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Sat, 28 Aug 2021 00:36:16 +0000
Subject: [PATCH 45/73] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 torchts/nn/models/ode.py | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index bca37d0f..b7ddfd60 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -60,7 +60,15 @@ def runge_kutta_4_step(self, prev_val):
             k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs) * self.dt
 
         for var in self.var_names:
-            pred[var] = (prev_val[var] + (self.ode[var](k_1, self.coeffs) / 6 + self.ode[var](k_2, self.coeffs) / 3 + self.ode[var](k_3, self.coeffs) / 3 + self.ode[var](k_4, self.coeffs) / 6 ) * self.dt
+            pred[var] = (
+                prev_val[var]
+                + (
+                    self.ode[var](k_1, self.coeffs) / 6
+                    + self.ode[var](k_2, self.coeffs) / 3
+                    + self.ode[var](k_3, self.coeffs) / 3
+                    + self.ode[var](k_4, self.coeffs) / 6
+                )
+                * self.dt
             )
 
         return pred

From 739cc252760691918e199aa9a78df63694ea7872 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 27 Aug 2021 20:41:16 -0400
Subject: [PATCH 46/73] Update ode.py

---
 torchts/nn/models/ode.py | 15 +++++----------
 1 file changed, 5 insertions(+), 10 deletions(-)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index b7ddfd60..f2260269 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -60,16 +60,11 @@ def runge_kutta_4_step(self, prev_val):
             k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs) * self.dt
 
         for var in self.var_names:
-            pred[var] = (
-                prev_val[var]
-                + (
-                    self.ode[var](k_1, self.coeffs) / 6
-                    + self.ode[var](k_2, self.coeffs) / 3
-                    + self.ode[var](k_3, self.coeffs) / 3
-                    + self.ode[var](k_4, self.coeffs) / 6
-                )
-                * self.dt
-            )
+            result = self.ode[var](k_1, self.coeffs) / 6
+            result += self.ode[var](k_2, self.coeffs) / 3
+            result += self.ode[var](k_3, self.coeffs) / 3
+            result += self.ode[var](k_4, self.coeffs) / 6
+            pred[var] = prev_val[var] + result * self.dt
 
         return pred
 

From c8d82a9331175f4429961d81d6caeb0d00ea0310 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Thu, 9 Sep 2021 15:41:17 -0400
Subject: [PATCH 47/73] Used a DNN to train the Duffing Equation

---
 .../ode/DuffingEquation/DuffingTest_DNN.ipynb | 677 ++++++++++++++++++
 1 file changed, 677 insertions(+)
 create mode 100644 examples/ode/DuffingEquation/DuffingTest_DNN.ipynb

diff --git a/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb b/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
new file mode 100644
index 00000000..459d483b
--- /dev/null
+++ b/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
@@ -0,0 +1,677 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "DuffingTest_DNN.ipynb",
+      "provenance": [],
+      "toc_visible": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "5Z8Z-OzS6Z-G",
+        "outputId": "5f5efe77-4745-4dfa-d641-9139b2164ee5"
+      },
+      "source": [
+        "!pip install pytorch_lightning"
+      ],
+      "execution_count": 1,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Collecting pytorch_lightning\n",
+            "  Downloading pytorch_lightning-1.4.5-py3-none-any.whl (919 kB)\n",
+            "\u001b[K     |████████████████████████████████| 919 kB 24.4 MB/s \n",
+            "\u001b[?25hCollecting fsspec[http]!=2021.06.0,>=2021.05.0\n",
+            "  Downloading fsspec-2021.8.1-py3-none-any.whl (119 kB)\n",
+            "\u001b[K     |████████████████████████████████| 119 kB 26.4 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (3.7.4.3)\n",
+            "Collecting future>=0.17.1\n",
+            "  Downloading future-0.18.2.tar.gz (829 kB)\n",
+            "\u001b[K     |████████████████████████████████| 829 kB 37.3 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: tensorboard>=2.2.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (2.6.0)\n",
+            "Collecting torchmetrics>=0.4.0\n",
+            "  Downloading torchmetrics-0.5.1-py3-none-any.whl (282 kB)\n",
+            "\u001b[K     |████████████████████████████████| 282 kB 43.2 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: packaging>=17.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (21.0)\n",
+            "Requirement already satisfied: tqdm>=4.41.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (4.62.0)\n",
+            "Collecting pyDeprecate==0.3.1\n",
+            "  Downloading pyDeprecate-0.3.1-py3-none-any.whl (10 kB)\n",
+            "Requirement already satisfied: torch>=1.6 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.9.0+cu102)\n",
+            "Collecting PyYAML>=5.1\n",
+            "  Downloading PyYAML-5.4.1-cp37-cp37m-manylinux1_x86_64.whl (636 kB)\n",
+            "\u001b[K     |████████████████████████████████| 636 kB 54.2 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: numpy>=1.17.2 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.19.5)\n",
+            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.23.0)\n",
+            "Collecting aiohttp\n",
+            "  Downloading aiohttp-3.7.4.post0-cp37-cp37m-manylinux2014_x86_64.whl (1.3 MB)\n",
+            "\u001b[K     |████████████████████████████████| 1.3 MB 38.5 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging>=17.0->pytorch_lightning) (2.4.7)\n",
+            "Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (57.4.0)\n",
+            "Requirement already satisfied: tensorboard-data-server<0.7.0,>=0.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.6.1)\n",
+            "Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.8.0)\n",
+            "Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.4.5)\n",
+            "Requirement already satisfied: grpcio>=1.24.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.39.0)\n",
+            "Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.0.1)\n",
+            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (3.3.4)\n",
+            "Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.34.0)\n",
+            "Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.37.0)\n",
+            "Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.12.0)\n",
+            "Requirement already satisfied: protobuf>=3.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (3.17.3)\n",
+            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from absl-py>=0.4->tensorboard>=2.2.0->pytorch_lightning) (1.15.0)\n",
+            "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (4.7.2)\n",
+            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (0.2.8)\n",
+            "Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (4.2.2)\n",
+            "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.7/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2.0->pytorch_lightning) (1.3.0)\n",
+            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from markdown>=2.6.8->tensorboard>=2.2.0->pytorch_lightning) (4.6.4)\n",
+            "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /usr/local/lib/python3.7/dist-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (0.4.8)\n",
+            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (3.0.4)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2021.5.30)\n",
+            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (1.24.3)\n",
+            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.10)\n",
+            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2.0->pytorch_lightning) (3.1.1)\n",
+            "Collecting yarl<2.0,>=1.0\n",
+            "  Downloading yarl-1.6.3-cp37-cp37m-manylinux2014_x86_64.whl (294 kB)\n",
+            "\u001b[K     |████████████████████████████████| 294 kB 55.6 MB/s \n",
+            "\u001b[?25hCollecting async-timeout<4.0,>=3.0\n",
+            "  Downloading async_timeout-3.0.1-py3-none-any.whl (8.2 kB)\n",
+            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (21.2.0)\n",
+            "Collecting multidict<7.0,>=4.5\n",
+            "  Downloading multidict-5.1.0-cp37-cp37m-manylinux2014_x86_64.whl (142 kB)\n",
+            "\u001b[K     |████████████████████████████████| 142 kB 59.9 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->markdown>=2.6.8->tensorboard>=2.2.0->pytorch_lightning) (3.5.0)\n",
+            "Building wheels for collected packages: future\n",
+            "  Building wheel for future (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "  Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491070 sha256=abd0c396b2528c1d186f2079649bb05dcd4b8241c3cc155fc463c13966560d56\n",
+            "  Stored in directory: /root/.cache/pip/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0\n",
+            "Successfully built future\n",
+            "Installing collected packages: multidict, yarl, async-timeout, fsspec, aiohttp, torchmetrics, PyYAML, pyDeprecate, future, pytorch-lightning\n",
+            "  Attempting uninstall: PyYAML\n",
+            "    Found existing installation: PyYAML 3.13\n",
+            "    Uninstalling PyYAML-3.13:\n",
+            "      Successfully uninstalled PyYAML-3.13\n",
+            "  Attempting uninstall: future\n",
+            "    Found existing installation: future 0.16.0\n",
+            "    Uninstalling future-0.16.0:\n",
+            "      Successfully uninstalled future-0.16.0\n",
+            "Successfully installed PyYAML-5.4.1 aiohttp-3.7.4.post0 async-timeout-3.0.1 fsspec-2021.8.1 future-0.18.2 multidict-5.1.0 pyDeprecate-0.3.1 pytorch-lightning-1.4.5 torchmetrics-0.5.1 yarl-1.6.3\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "zu5Sh81e6N9a"
+      },
+      "source": [
+        "import torch\n",
+        "from pytorch_lightning import LightningModule\n",
+        "import torch.nn.functional as F\n",
+        "from torch import nn\n",
+        "from torch.utils.data import DataLoader, TensorDataset\n",
+        "\n",
+        "import matplotlib.pyplot as plt\n",
+        "import mpl_toolkits.mplot3d.axes3d as p3"
+      ],
+      "execution_count": 2,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "Pf5K_82g5blO"
+      },
+      "source": [
+        "class ODEDNNSolver(LightningModule):\n",
+        "    def __init__(\n",
+        "        self, ode, init_vars, init_coeffs, dt, solver=\"euler\", outvar=None, **kwargs\n",
+        "    ):\n",
+        "        super().__init__(**kwargs)\n",
+        "\n",
+        "        if ode.keys() != init_vars.keys():\n",
+        "            raise ValueError(\"Inconsistent keys in ode and init_vars\")\n",
+        "\n",
+        "        if solver == \"euler\":\n",
+        "            self.step_solver = self.euler_step\n",
+        "        elif solver == \"rk4\":\n",
+        "            self.step_solver = self.runge_kutta_4_step\n",
+        "        else:\n",
+        "            raise ValueError(f\"Unrecognized solver {solver}\")\n",
+        "\n",
+        "        for name, value in init_coeffs.items():\n",
+        "            self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n",
+        "        \n",
+        "        self.ode = ode\n",
+        "        self.var_names = ode.keys()\n",
+        "        self.init_vars = {\n",
+        "            name: torch.tensor(value, device=self.device)\n",
+        "            for name, value in init_vars.items()\n",
+        "        }\n",
+        "        self.coeffs = {name: param for name, param in self.named_parameters()}\n",
+        "\n",
+        "        self.dnn = nn.Sequential(\n",
+        "            nn.Linear(1,10),\n",
+        "            nn.ReLU(),\n",
+        "            nn.Linear(10,1),\n",
+        "            nn.Tanh()\n",
+        "        )\n",
+        "\n",
+        "        self.outvar = self.var_names if outvar is None else outvar\n",
+        "        self.dt = dt\n",
+        "        self.criterion = F.mse_loss\n",
+        "\n",
+        "    def euler_step(self, prev_val):\n",
+        "        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}\n",
+        "        for var in self.var_names:\n",
+        "            pred[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnn) * self.dt\n",
+        "        return pred\n",
+        "\n",
+        "    def runge_kutta_4_step(self, prev_val):\n",
+        "        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}\n",
+        "\n",
+        "        k_1 = prev_val\n",
+        "        k_2 = {}\n",
+        "        k_3 = {}\n",
+        "        k_4 = {}\n",
+        "\n",
+        "        for var in self.var_names:\n",
+        "            k_2[var] = (\n",
+        "                prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnn) * 0.5 * self.dt\n",
+        "            )\n",
+        "\n",
+        "        for var in self.var_names:\n",
+        "            k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs, self.dnn) * 0.5 * self.dt\n",
+        "\n",
+        "        for var in self.var_names:\n",
+        "            k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs, self.dnn) * self.dt\n",
+        "\n",
+        "        for var in self.var_names:\n",
+        "            result = self.ode[var](k_1, self.coeffs, self.dnn) / 6\n",
+        "            result += self.ode[var](k_2, self.coeffs, self.dnn) / 3\n",
+        "            result += self.ode[var](k_3, self.coeffs, self.dnn) / 3\n",
+        "            result += self.ode[var](k_4, self.coeffs, self.dnn) / 6\n",
+        "            pred[var] = prev_val[var] + result * self.dt\n",
+        "\n",
+        "        return pred\n",
+        "\n",
+        "    def solver(self, nt):\n",
+        "        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}\n",
+        "\n",
+        "        for n in range(nt - 1):\n",
+        "            # create dictionary containing values from previous time step\n",
+        "            prev_val = {var: pred[var][[n]] for var in self.var_names}\n",
+        "            new_val = self.step_solver(prev_val)\n",
+        "            for var in self.var_names:\n",
+        "                pred[var] = torch.cat([pred[var], new_val[var]])\n",
+        "\n",
+        "        # reformat output to contain desired (observed) variables\n",
+        "        return torch.stack([pred[var] for var in self.outvar], dim=1)\n",
+        "\n",
+        "    def forward(self, nt):\n",
+        "        return self.solver(nt)\n",
+        "\n",
+        "    def get_coeffs(self):\n",
+        "        return {name: param.item() for name, param in self.named_parameters()}\n",
+        "\n",
+        "    def fit(\n",
+        "        self,\n",
+        "        x,\n",
+        "        optim,\n",
+        "        optim_params=None,\n",
+        "        max_epochs=10,\n",
+        "        scheduler=None,\n",
+        "        scheduler_params=None,\n",
+        "    ):\n",
+        "        \"\"\"Fits model to the given data by comparing the whole dataset\n",
+        "        Args:\n",
+        "            x (torch.Tensor): Original time series data\n",
+        "            optim (torch.optim): Optimizer\n",
+        "            optim_params: Optimizer parameters\n",
+        "            max_epochs (int): Number of training epochs\n",
+        "            scheduler (torch.optim.lr_scheduler): Learning rate scheduler\n",
+        "            scheduler_params: Learning rate scheduler parameters\n",
+        "        \"\"\"\n",
+        "        dataset = TensorDataset(x)\n",
+        "        n = dataset.__len__()\n",
+        "        loader = DataLoader(dataset, batch_size=n)\n",
+        "\n",
+        "        if optim_params is not None:\n",
+        "            optimizer = optim(self.parameters(), **optim_params)\n",
+        "        else:\n",
+        "            optimizer = optim(self.parameters())\n",
+        "\n",
+        "        if scheduler is not None:\n",
+        "            if scheduler_params is not None:\n",
+        "                lr_scheduler = scheduler(optimizer, **scheduler_params)\n",
+        "            else:\n",
+        "                lr_scheduler = scheduler(optimizer)\n",
+        "\n",
+        "        for epoch in range(max_epochs):\n",
+        "            for i, data in enumerate(loader, 0):\n",
+        "                self.zero_grad()\n",
+        "                loss = self._step(data, i, n)\n",
+        "                loss.backward(retain_graph=True)\n",
+        "                optimizer.step()\n",
+        "            if scheduler is not None:\n",
+        "                lr_scheduler.step()\n",
+        "\n",
+        "            print(\"Epoch: \" + str(epoch) + \"\\t Loss: \" + str(loss))\n",
+        "            print(self.coeffs)\n",
+        "            # Testing to see that self.dnns changes\n",
+        "            print(\"DNN(1)\", self.dnn(torch.Tensor([1.])))\n",
+        "\n",
+        "    def fit_random_sample(\n",
+        "        self,\n",
+        "        x,\n",
+        "        optim,\n",
+        "        optim_params=None,\n",
+        "        max_epochs=10,\n",
+        "        batch_size=64,\n",
+        "        scheduler=None,\n",
+        "        scheduler_params=None,\n",
+        "    ):\n",
+        "        \"\"\"Fits model to the given data by using random samples for each batch\n",
+        "        Args:\n",
+        "            x (torch.Tensor): Original time series data\n",
+        "            optim (torch.optim): Optimizer\n",
+        "            optim_params: Optimizer parameters\n",
+        "            max_epochs (int): Number of training epochs\n",
+        "            batch_size (int): Batch size for torch.utils.data.DataLoader\n",
+        "            scheduler (torch.optim.lr_scheduler): Learning rate scheduler\n",
+        "            scheduler_params: Learning rate scheduler parameters\n",
+        "        \"\"\"\n",
+        "        dataset = TensorDataset(x)\n",
+        "        loader = DataLoader(dataset, batch_size=batch_size)\n",
+        "\n",
+        "        if optim_params is not None:\n",
+        "            optimizer = optim(self.parameters(), **optim_params)\n",
+        "        else:\n",
+        "            optimizer = optim(self.parameters())\n",
+        "\n",
+        "        if scheduler is not None:\n",
+        "            if scheduler_params is not None:\n",
+        "                lr_scheduler = scheduler(optimizer, **scheduler_params)\n",
+        "            else:\n",
+        "                lr_scheduler = scheduler(optimizer)\n",
+        "\n",
+        "        for epoch in range(max_epochs):\n",
+        "            for i, data in enumerate(loader, 0):\n",
+        "                self.zero_grad()\n",
+        "\n",
+        "                n = data[0].shape[0]\n",
+        "\n",
+        "                if n < 3:\n",
+        "                    continue\n",
+        "\n",
+        "                # Takes a random data point from \"data\"\n",
+        "                ri = torch.randint(low=0, high=n - 2, size=()).item()\n",
+        "                single_point = data[0][ri : ri + 1, :]\n",
+        "                init_point = {\n",
+        "                    var: single_point[0, i] for i, var in enumerate(self.var_names)\n",
+        "                }\n",
+        "\n",
+        "                pred = {\n",
+        "                    name: value.unsqueeze(0) for name, value in self.init_vars.items()\n",
+        "                }\n",
+        "\n",
+        "                pred = self.step_solver(init_point)\n",
+        "\n",
+        "                predictions = torch.stack([pred[var] for var in self.outvar], dim=0)\n",
+        "\n",
+        "                # Compare numerical integration data with next data point\n",
+        "                loss = self.criterion(predictions, data[0][ri + 1, :])\n",
+        "\n",
+        "                loss.backward(retain_graph=True)\n",
+        "                optimizer.step()\n",
+        "\n",
+        "            if scheduler is not None:\n",
+        "                lr_scheduler.step()\n",
+        "\n",
+        "            print(\"Epoch: \" + str(epoch) + \"\\t Loss: \" + str(loss))\n",
+        "            print(self.coeffs)\n",
+        "            # Testing to see that self.dnns changes\n",
+        "            print(\"DNN(1)\", self.dnn(torch.Tensor([1.])))\n",
+        "\n",
+        "    def _step(self, batch, batch_idx, num_batches):\n",
+        "        (x,) = batch\n",
+        "        nt = x.shape[0]\n",
+        "        pred = self(nt)\n",
+        "        return self.criterion(pred, x)"
+      ],
+      "execution_count": 115,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "vhzCXiGS7vcj"
+      },
+      "source": [
+        "# Duffing equation: Second order ODE system\n",
+        "dt = 0.01\n",
+        "\n",
+        "def x_prime(prev_val, coeffs, dnns):\n",
+        "    return prev_val[\"x_\"]\n",
+        "\n",
+        "def x_prime_prime(prev_val, coeffs, dnns):\n",
+        "    return 0.8*torch.cos(0.5*prev_val[\"t\"]) - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n",
+        "\n",
+        "def t_prime(prev_val, coeffs, dnns):\n",
+        "    return 1\n",
+        "\n",
+        "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"t\": t_prime}\n",
+        "\n",
+        "# Initial conditions [0,0,0]\n",
+        "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
+        "\n",
+        "# Constants (Parameters)\n",
+        "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2}"
+      ],
+      "execution_count": 116,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "0-Om8KZe7zHS"
+      },
+      "source": [
+        "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "NwF7ddNl71cq"
+      },
+      "source": [
+        "ode_solver = ODEDNNSolver(\n",
+        "    ode=ode,\n",
+        "    init_vars=ode_init,\n",
+        "    init_coeffs=ode_coeffs,\n",
+        "    dt=dt,\n",
+        "    solver=\"rk4\"\n",
+        ")\n",
+        "\n",
+        "result = ode_solver(1000)"
+      ],
+      "execution_count": 117,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 265
+        },
+        "id": "UnDf8azV8W0p",
+        "outputId": "341ddf94-6459-4cd7-cd6c-0e1631e9e978"
+      },
+      "source": [
+        "result_np = result.detach().numpy() # Convert to numpy array\n",
+        "\n",
+        "# 2D plot of X and Z\n",
+        "plt.plot(result_np[:,2], result_np[:,0])\n",
+        "\n",
+        "plt.show()"
+      ],
+      "execution_count": 118,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "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\n",
+            "text/plain": [
+              "<Figure size 432x288 with 1 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "ObTghBli7-no"
+      },
+      "source": [
+        "# Euler's method for training"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "87VAZZtR7-n1"
+      },
+      "source": [
+        "def x_prime_prime_train(prev_val, coeffs, dnns):\n",
+        "    return dnns(torch.Tensor([prev_val[\"t\"]]))[0] - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n"
+      ],
+      "execution_count": 126,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "dTx1Q0PV7-n2"
+      },
+      "source": [
+        "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0.}\n",
+        "ode_train = {\"x\": x_prime, \"x_\": x_prime_prime_train, \"t\": t_prime}\n",
+        "\n",
+        "ode_solver_train = ODEDNNSolver(\n",
+        "    ode=ode_train,\n",
+        "    init_vars=ode_init,\n",
+        "    init_coeffs=ode_train_coeffs,\n",
+        "    dt=dt,\n",
+        "    solver=\"rk4\"\n",
+        ")"
+      ],
+      "execution_count": 129,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "67eN5ZyB7-n2",
+        "outputId": "ebcac1a5-961d-4445-e934-85c1b3a2bbbb"
+      },
+      "source": [
+        "ode_solver_train.fit_random_sample(\n",
+        "    result,torch.optim.Adam,\n",
+        "    {\"lr\": 0.02},\n",
+        "    max_epochs=20,\n",
+        "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+        "    scheduler_params={\"milestones\": [10],\"gamma\": 0.2}\n",
+        ")"
+      ],
+      "execution_count": 130,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Epoch: 0\t Loss: tensor(2.0892e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.0734, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.1057, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.1188, requires_grad=True)}\n",
+            "DNN(1) tensor([-0.2622], grad_fn=<TanhBackward>)\n",
+            "Epoch: 1\t Loss: tensor(4.0188e-06, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1766, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.2347, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.1029, requires_grad=True)}\n",
+            "DNN(1) tensor([-0.0913], grad_fn=<TanhBackward>)\n",
+            "Epoch: 2\t Loss: tensor(1.6256e-06, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2581, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3456, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0545, requires_grad=True)}\n",
+            "DNN(1) tensor([0.3632], grad_fn=<TanhBackward>)\n",
+            "Epoch: 3\t Loss: tensor(2.4067e-08, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2690, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3924, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0183, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4507], grad_fn=<TanhBackward>)\n",
+            "Epoch: 4\t Loss: tensor(3.5633e-07, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2655, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.4246, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0269, requires_grad=True)}\n",
+            "DNN(1) tensor([0.5499], grad_fn=<TanhBackward>)\n",
+            "Epoch: 5\t Loss: tensor(5.6940e-08, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2614, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.4526, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0784, requires_grad=True)}\n",
+            "DNN(1) tensor([0.6644], grad_fn=<TanhBackward>)\n",
+            "Epoch: 6\t Loss: tensor(8.2914e-09, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2504, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.4683, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0730, requires_grad=True)}\n",
+            "DNN(1) tensor([0.5611], grad_fn=<TanhBackward>)\n",
+            "Epoch: 7\t Loss: tensor(3.6393e-07, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2162, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.4683, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0505, requires_grad=True)}\n",
+            "DNN(1) tensor([0.8185], grad_fn=<TanhBackward>)\n",
+            "Epoch: 8\t Loss: tensor(2.5905e-07, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2238, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.4857, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0249, requires_grad=True)}\n",
+            "DNN(1) tensor([0.5355], grad_fn=<TanhBackward>)\n",
+            "Epoch: 9\t Loss: tensor(1.2133e-07, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1829, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.4814, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0353, requires_grad=True)}\n",
+            "DNN(1) tensor([0.8013], grad_fn=<TanhBackward>)\n",
+            "Epoch: 10\t Loss: tensor(2.6608e-08, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1822, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.4838, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0386, requires_grad=True)}\n",
+            "DNN(1) tensor([0.7911], grad_fn=<TanhBackward>)\n",
+            "Epoch: 11\t Loss: tensor(5.7137e-08, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1836, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.4873, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0405, requires_grad=True)}\n",
+            "DNN(1) tensor([0.7702], grad_fn=<TanhBackward>)\n",
+            "Epoch: 12\t Loss: tensor(1.0630e-08, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1838, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.4904, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0441, requires_grad=True)}\n",
+            "DNN(1) tensor([0.7583], grad_fn=<TanhBackward>)\n",
+            "Epoch: 13\t Loss: tensor(3.7962e-07, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1827, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.4933, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0453, requires_grad=True)}\n",
+            "DNN(1) tensor([0.7535], grad_fn=<TanhBackward>)\n",
+            "Epoch: 14\t Loss: tensor(1.3211e-10, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1814, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.4968, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0481, requires_grad=True)}\n",
+            "DNN(1) tensor([0.7546], grad_fn=<TanhBackward>)\n",
+            "Epoch: 15\t Loss: tensor(4.3491e-10, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1785, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.4994, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0509, requires_grad=True)}\n",
+            "DNN(1) tensor([0.7570], grad_fn=<TanhBackward>)\n",
+            "Epoch: 16\t Loss: tensor(3.0417e-08, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1754, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.5013, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0559, requires_grad=True)}\n",
+            "DNN(1) tensor([0.7630], grad_fn=<TanhBackward>)\n",
+            "Epoch: 17\t Loss: tensor(2.9169e-07, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1707, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.5024, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0612, requires_grad=True)}\n",
+            "DNN(1) tensor([0.7567], grad_fn=<TanhBackward>)\n",
+            "Epoch: 18\t Loss: tensor(8.3562e-10, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1673, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.5044, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0656, requires_grad=True)}\n",
+            "DNN(1) tensor([0.7530], grad_fn=<TanhBackward>)\n",
+            "Epoch: 19\t Loss: tensor(1.3880e-07, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1626, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.5041, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0659, requires_grad=True)}\n",
+            "DNN(1) tensor([0.7480], grad_fn=<TanhBackward>)\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 265
+        },
+        "id": "IOMjwKY27-n2",
+        "outputId": "900383b9-02ea-4482-f434-3cbfe729ddb8"
+      },
+      "source": [
+        "result = ode_solver_train(1000)\n",
+        "\n",
+        "result_np = result.detach().numpy() # Convert to numpy array\n",
+        "\n",
+        "# 2D plot of X and Z\n",
+        "plt.plot(result_np[:,2], result_np[:,0])\n",
+        "\n",
+        "plt.show()"
+      ],
+      "execution_count": 131,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "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\n",
+            "text/plain": [
+              "<Figure size 432x288 with 1 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file

From 3035b4eb8a9ff18d46c2a7c0bc7529a656af92b6 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Thu, 9 Sep 2021 19:41:51 +0000
Subject: [PATCH 48/73] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 examples/ode/DuffingEquation/DuffingTest_DNN.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb b/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
index 459d483b..c06455d3 100644
--- a/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
@@ -674,4 +674,4 @@
       ]
     }
   ]
-}
\ No newline at end of file
+}

From a0f3276b897c3f6bd47cb5158c7e2db00126ea35 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 22 Oct 2021 12:48:40 -0400
Subject: [PATCH 49/73] Used MSELoss to compare the predictions

---
 .../ode/DuffingEquation/DuffingTest_DNN.ipynb | 369 ++++++++++--------
 ...ffingTest_fitRandomSample_with_w_RK4.ipynb | 137 +++++--
 examples/ode/SEIR/SEIRTest_fit.ipynb          | 133 +++++--
 .../SEIR/SEIRTest_fitRandomSample_RK4.ipynb   | 133 +++++--
 examples/ode/lorenz63/Lorenz63Train_fit.ipynb | 162 +++++---
 .../Lorenz63Train_fitRandomSample_RK4.ipynb   | 171 +++++---
 6 files changed, 744 insertions(+), 361 deletions(-)

diff --git a/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb b/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
index c06455d3..44559572 100644
--- a/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
@@ -23,7 +23,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "5Z8Z-OzS6Z-G",
-        "outputId": "5f5efe77-4745-4dfa-d641-9139b2164ee5"
+        "outputId": "f83e0d3c-fb76-4938-8aac-3e01134a1969"
       },
       "source": [
         "!pip install pytorch_lightning"
@@ -35,69 +35,69 @@
           "name": "stdout",
           "text": [
             "Collecting pytorch_lightning\n",
-            "  Downloading pytorch_lightning-1.4.5-py3-none-any.whl (919 kB)\n",
-            "\u001b[K     |████████████████████████████████| 919 kB 24.4 MB/s \n",
-            "\u001b[?25hCollecting fsspec[http]!=2021.06.0,>=2021.05.0\n",
-            "  Downloading fsspec-2021.8.1-py3-none-any.whl (119 kB)\n",
-            "\u001b[K     |████████████████████████████████| 119 kB 26.4 MB/s \n",
-            "\u001b[?25hRequirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (3.7.4.3)\n",
-            "Collecting future>=0.17.1\n",
-            "  Downloading future-0.18.2.tar.gz (829 kB)\n",
-            "\u001b[K     |████████████████████████████████| 829 kB 37.3 MB/s \n",
-            "\u001b[?25hRequirement already satisfied: tensorboard>=2.2.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (2.6.0)\n",
+            "  Downloading pytorch_lightning-1.4.9-py3-none-any.whl (925 kB)\n",
+            "\u001b[?25l\r\u001b[K     |▍                               | 10 kB 21.7 MB/s eta 0:00:01\r\u001b[K     |▊                               | 20 kB 16.9 MB/s eta 0:00:01\r\u001b[K     |█                               | 30 kB 20.8 MB/s eta 0:00:01\r\u001b[K     |█▍                              | 40 kB 13.1 MB/s eta 0:00:01\r\u001b[K     |█▊                              | 51 kB 10.1 MB/s eta 0:00:01\r\u001b[K     |██▏                             | 61 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██▌                             | 71 kB 7.8 MB/s eta 0:00:01\r\u001b[K     |██▉                             | 81 kB 8.5 MB/s eta 0:00:01\r\u001b[K     |███▏                            | 92 kB 7.8 MB/s eta 0:00:01\r\u001b[K     |███▌                            | 102 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████                            | 112 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████▎                           | 122 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████▋                           | 133 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████                           | 143 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████▎                          | 153 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████▋                          | 163 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████                          | 174 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████▍                         | 184 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████▊                         | 194 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████                         | 204 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████▍                        | 215 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████▉                        | 225 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████▏                       | 235 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████▌                       | 245 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████▉                       | 256 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████▏                      | 266 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████▋                      | 276 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████                      | 286 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████▎                     | 296 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████▋                     | 307 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████                     | 317 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████▎                    | 327 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████▊                    | 337 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████                    | 348 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████▍                   | 358 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████▊                   | 368 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████                   | 378 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████▌                  | 389 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████▉                  | 399 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████▏                 | 409 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████▌                 | 419 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████▉                 | 430 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████▏                | 440 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████▋                | 450 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████                | 460 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████▎               | 471 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████▋               | 481 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████               | 491 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████▍              | 501 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████▊              | 512 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████              | 522 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████▍             | 532 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████▊             | 542 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████▏            | 552 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████▌            | 563 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████▉            | 573 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████▏           | 583 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████▌           | 593 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████▉           | 604 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▎          | 614 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▋          | 624 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████          | 634 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████▎         | 645 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████▋         | 655 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████         | 665 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████▍        | 675 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████▊        | 686 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████        | 696 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████▍       | 706 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████▊       | 716 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▏      | 727 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▌      | 737 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▉      | 747 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▏     | 757 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▌     | 768 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████     | 778 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▎    | 788 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▋    | 798 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████    | 808 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▎   | 819 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▊   | 829 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████   | 839 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▍  | 849 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▊  | 860 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████  | 870 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▍ | 880 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▉ | 890 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▏| 901 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▌| 911 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▉| 921 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 925 kB 8.4 MB/s \n",
+            "\u001b[?25hCollecting pyDeprecate==0.3.1\n",
+            "  Downloading pyDeprecate-0.3.1-py3-none-any.whl (10 kB)\n",
+            "Requirement already satisfied: tqdm>=4.41.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (4.62.3)\n",
+            "Collecting PyYAML>=5.1\n",
+            "  Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB)\n",
+            "\u001b[K     |████████████████████████████████| 596 kB 39.5 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: torch>=1.6 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.9.0+cu111)\n",
+            "Requirement already satisfied: numpy>=1.17.2 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.19.5)\n",
             "Collecting torchmetrics>=0.4.0\n",
             "  Downloading torchmetrics-0.5.1-py3-none-any.whl (282 kB)\n",
-            "\u001b[K     |████████████████████████████████| 282 kB 43.2 MB/s \n",
+            "\u001b[K     |████████████████████████████████| 282 kB 51.8 MB/s \n",
+            "\u001b[?25hCollecting fsspec[http]!=2021.06.0,>=2021.05.0\n",
+            "  Downloading fsspec-2021.10.1-py3-none-any.whl (125 kB)\n",
+            "\u001b[K     |████████████████████████████████| 125 kB 36.6 MB/s \n",
             "\u001b[?25hRequirement already satisfied: packaging>=17.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (21.0)\n",
-            "Requirement already satisfied: tqdm>=4.41.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (4.62.0)\n",
-            "Collecting pyDeprecate==0.3.1\n",
-            "  Downloading pyDeprecate-0.3.1-py3-none-any.whl (10 kB)\n",
-            "Requirement already satisfied: torch>=1.6 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.9.0+cu102)\n",
-            "Collecting PyYAML>=5.1\n",
-            "  Downloading PyYAML-5.4.1-cp37-cp37m-manylinux1_x86_64.whl (636 kB)\n",
-            "\u001b[K     |████████████████████████████████| 636 kB 54.2 MB/s \n",
-            "\u001b[?25hRequirement already satisfied: numpy>=1.17.2 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.19.5)\n",
-            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.23.0)\n",
-            "Collecting aiohttp\n",
+            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (3.7.4.3)\n",
+            "Requirement already satisfied: tensorboard>=2.2.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (2.6.0)\n",
+            "Collecting future>=0.17.1\n",
+            "  Downloading future-0.18.2.tar.gz (829 kB)\n",
+            "\u001b[K     |████████████████████████████████| 829 kB 20.7 MB/s \n",
+            "\u001b[?25hCollecting aiohttp\n",
             "  Downloading aiohttp-3.7.4.post0-cp37-cp37m-manylinux2014_x86_64.whl (1.3 MB)\n",
-            "\u001b[K     |████████████████████████████████| 1.3 MB 38.5 MB/s \n",
-            "\u001b[?25hRequirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging>=17.0->pytorch_lightning) (2.4.7)\n",
-            "Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (57.4.0)\n",
-            "Requirement already satisfied: tensorboard-data-server<0.7.0,>=0.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.6.1)\n",
+            "\u001b[K     |████████████████████████████████| 1.3 MB 40.5 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.23.0)\n",
+            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging>=17.0->pytorch_lightning) (2.4.7)\n",
+            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (3.3.4)\n",
+            "Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.12.0)\n",
+            "Requirement already satisfied: grpcio>=1.24.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.41.0)\n",
             "Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.8.0)\n",
-            "Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.4.5)\n",
-            "Requirement already satisfied: grpcio>=1.24.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.39.0)\n",
+            "Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.35.0)\n",
+            "Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (57.4.0)\n",
             "Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.0.1)\n",
-            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (3.3.4)\n",
-            "Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.34.0)\n",
             "Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.37.0)\n",
-            "Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.12.0)\n",
+            "Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.4.6)\n",
+            "Requirement already satisfied: tensorboard-data-server<0.7.0,>=0.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.6.1)\n",
             "Requirement already satisfied: protobuf>=3.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (3.17.3)\n",
             "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from absl-py>=0.4->tensorboard>=2.2.0->pytorch_lightning) (1.15.0)\n",
             "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (4.7.2)\n",
+            "Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (4.2.4)\n",
             "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (0.2.8)\n",
-            "Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (4.2.2)\n",
             "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.7/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2.0->pytorch_lightning) (1.3.0)\n",
-            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from markdown>=2.6.8->tensorboard>=2.2.0->pytorch_lightning) (4.6.4)\n",
+            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from markdown>=2.6.8->tensorboard>=2.2.0->pytorch_lightning) (4.8.1)\n",
             "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /usr/local/lib/python3.7/dist-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (0.4.8)\n",
-            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (3.0.4)\n",
             "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2021.5.30)\n",
+            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (3.0.4)\n",
             "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (1.24.3)\n",
             "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.10)\n",
             "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2.0->pytorch_lightning) (3.1.1)\n",
+            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (21.2.0)\n",
             "Collecting yarl<2.0,>=1.0\n",
-            "  Downloading yarl-1.6.3-cp37-cp37m-manylinux2014_x86_64.whl (294 kB)\n",
-            "\u001b[K     |████████████████████████████████| 294 kB 55.6 MB/s \n",
+            "  Downloading yarl-1.7.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (271 kB)\n",
+            "\u001b[K     |████████████████████████████████| 271 kB 68.3 MB/s \n",
+            "\u001b[?25hCollecting multidict<7.0,>=4.5\n",
+            "  Downloading multidict-5.2.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (160 kB)\n",
+            "\u001b[K     |████████████████████████████████| 160 kB 67.3 MB/s \n",
             "\u001b[?25hCollecting async-timeout<4.0,>=3.0\n",
             "  Downloading async_timeout-3.0.1-py3-none-any.whl (8.2 kB)\n",
-            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (21.2.0)\n",
-            "Collecting multidict<7.0,>=4.5\n",
-            "  Downloading multidict-5.1.0-cp37-cp37m-manylinux2014_x86_64.whl (142 kB)\n",
-            "\u001b[K     |████████████████████████████████| 142 kB 59.9 MB/s \n",
-            "\u001b[?25hRequirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->markdown>=2.6.8->tensorboard>=2.2.0->pytorch_lightning) (3.5.0)\n",
+            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->markdown>=2.6.8->tensorboard>=2.2.0->pytorch_lightning) (3.6.0)\n",
             "Building wheels for collected packages: future\n",
             "  Building wheel for future (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
-            "  Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491070 sha256=abd0c396b2528c1d186f2079649bb05dcd4b8241c3cc155fc463c13966560d56\n",
+            "  Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491070 sha256=8c063018aa301dc492d85fbe4044ef8bf855372d849f3b6f40c44a7b52ea1f17\n",
             "  Stored in directory: /root/.cache/pip/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0\n",
             "Successfully built future\n",
             "Installing collected packages: multidict, yarl, async-timeout, fsspec, aiohttp, torchmetrics, PyYAML, pyDeprecate, future, pytorch-lightning\n",
@@ -109,7 +109,7 @@
             "    Found existing installation: future 0.16.0\n",
             "    Uninstalling future-0.16.0:\n",
             "      Successfully uninstalled future-0.16.0\n",
-            "Successfully installed PyYAML-5.4.1 aiohttp-3.7.4.post0 async-timeout-3.0.1 fsspec-2021.8.1 future-0.18.2 multidict-5.1.0 pyDeprecate-0.3.1 pytorch-lightning-1.4.5 torchmetrics-0.5.1 yarl-1.6.3\n"
+            "Successfully installed PyYAML-6.0 aiohttp-3.7.4.post0 async-timeout-3.0.1 fsspec-2021.10.1 future-0.18.2 multidict-5.2.0 pyDeprecate-0.3.1 pytorch-lightning-1.4.9 torchmetrics-0.5.1 yarl-1.7.0\n"
           ]
         }
       ]
@@ -354,7 +354,7 @@
         "        pred = self(nt)\n",
         "        return self.criterion(pred, x)"
       ],
-      "execution_count": 115,
+      "execution_count": 3,
       "outputs": []
     },
     {
@@ -383,7 +383,7 @@
         "# Constants (Parameters)\n",
         "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2}"
       ],
-      "execution_count": 116,
+      "execution_count": 4,
       "outputs": []
     },
     {
@@ -411,7 +411,7 @@
         "\n",
         "result = ode_solver(1000)"
       ],
-      "execution_count": 117,
+      "execution_count": 5,
       "outputs": []
     },
     {
@@ -422,7 +422,7 @@
           "height": 265
         },
         "id": "UnDf8azV8W0p",
-        "outputId": "341ddf94-6459-4cd7-cd6c-0e1631e9e978"
+        "outputId": "6eca4784-0e7d-4537-95d8-94ec220d1156"
       },
       "source": [
         "result_np = result.detach().numpy() # Convert to numpy array\n",
@@ -432,7 +432,7 @@
         "\n",
         "plt.show()"
       ],
-      "execution_count": 118,
+      "execution_count": 6,
       "outputs": [
         {
           "output_type": "display_data",
@@ -466,7 +466,7 @@
         "def x_prime_prime_train(prev_val, coeffs, dnns):\n",
         "    return dnns(torch.Tensor([prev_val[\"t\"]]))[0] - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n"
       ],
-      "execution_count": 126,
+      "execution_count": 7,
       "outputs": []
     },
     {
@@ -486,7 +486,7 @@
         "    solver=\"rk4\"\n",
         ")"
       ],
-      "execution_count": 129,
+      "execution_count": 8,
       "outputs": []
     },
     {
@@ -496,7 +496,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "67eN5ZyB7-n2",
-        "outputId": "ebcac1a5-961d-4445-e934-85c1b3a2bbbb"
+        "outputId": "1588284b-d8f3-42ed-ff4e-0428b39394e8"
       },
       "source": [
         "ode_solver_train.fit_random_sample(\n",
@@ -507,132 +507,132 @@
         "    scheduler_params={\"milestones\": [10],\"gamma\": 0.2}\n",
         ")"
       ],
-      "execution_count": 130,
+      "execution_count": 9,
       "outputs": [
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Epoch: 0\t Loss: tensor(2.0892e-05, grad_fn=<MseLossBackward>)\n",
+            "Epoch: 0\t Loss: tensor(6.2093e-06, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.0734, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.1057, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.1188, requires_grad=True)}\n",
-            "DNN(1) tensor([-0.2622], grad_fn=<TanhBackward>)\n",
-            "Epoch: 1\t Loss: tensor(4.0188e-06, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.1419, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.1420, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0721, requires_grad=True)}\n",
+            "DNN(1) tensor([0.2365], grad_fn=<TanhBackward>)\n",
+            "Epoch: 1\t Loss: tensor(2.0705e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.1766, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.2347, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.1029, requires_grad=True)}\n",
-            "DNN(1) tensor([-0.0913], grad_fn=<TanhBackward>)\n",
-            "Epoch: 2\t Loss: tensor(1.6256e-06, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.2504, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.2516, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.1099, requires_grad=True)}\n",
+            "DNN(1) tensor([0.1373], grad_fn=<TanhBackward>)\n",
+            "Epoch: 2\t Loss: tensor(2.1068e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.2581, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3456, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0545, requires_grad=True)}\n",
-            "DNN(1) tensor([0.3632], grad_fn=<TanhBackward>)\n",
-            "Epoch: 3\t Loss: tensor(2.4067e-08, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.2731, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.2960, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.1083, requires_grad=True)}\n",
+            "DNN(1) tensor([0.2051], grad_fn=<TanhBackward>)\n",
+            "Epoch: 3\t Loss: tensor(2.6809e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.2690, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3924, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0183, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4507], grad_fn=<TanhBackward>)\n",
-            "Epoch: 4\t Loss: tensor(3.5633e-07, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.2646, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3165, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0769, requires_grad=True)}\n",
+            "DNN(1) tensor([0.3410], grad_fn=<TanhBackward>)\n",
+            "Epoch: 4\t Loss: tensor(2.4307e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.2655, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.4246, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0269, requires_grad=True)}\n",
-            "DNN(1) tensor([0.5499], grad_fn=<TanhBackward>)\n",
-            "Epoch: 5\t Loss: tensor(5.6940e-08, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.2557, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3321, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0659, requires_grad=True)}\n",
+            "DNN(1) tensor([0.2867], grad_fn=<TanhBackward>)\n",
+            "Epoch: 5\t Loss: tensor(2.1748e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.2614, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.4526, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0784, requires_grad=True)}\n",
-            "DNN(1) tensor([0.6644], grad_fn=<TanhBackward>)\n",
-            "Epoch: 6\t Loss: tensor(8.2914e-09, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.2179, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3312, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0237, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4414], grad_fn=<TanhBackward>)\n",
+            "Epoch: 6\t Loss: tensor(2.6169e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.2504, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.4683, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0730, requires_grad=True)}\n",
-            "DNN(1) tensor([0.5611], grad_fn=<TanhBackward>)\n",
-            "Epoch: 7\t Loss: tensor(3.6393e-07, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.1903, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3348, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0237, requires_grad=True)}\n",
+            "DNN(1) tensor([0.3845], grad_fn=<TanhBackward>)\n",
+            "Epoch: 7\t Loss: tensor(1.6772e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.2162, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.4683, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0505, requires_grad=True)}\n",
-            "DNN(1) tensor([0.8185], grad_fn=<TanhBackward>)\n",
-            "Epoch: 8\t Loss: tensor(2.5905e-07, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.1749, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3486, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0295, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4565], grad_fn=<TanhBackward>)\n",
+            "Epoch: 8\t Loss: tensor(3.1222e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.2238, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.4857, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0249, requires_grad=True)}\n",
-            "DNN(1) tensor([0.5355], grad_fn=<TanhBackward>)\n",
-            "Epoch: 9\t Loss: tensor(1.2133e-07, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.1566, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3485, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0641, requires_grad=True)}\n",
+            "DNN(1) tensor([0.2051], grad_fn=<TanhBackward>)\n",
+            "Epoch: 9\t Loss: tensor(5.5046e-06, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.1829, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.4814, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0353, requires_grad=True)}\n",
-            "DNN(1) tensor([0.8013], grad_fn=<TanhBackward>)\n",
-            "Epoch: 10\t Loss: tensor(2.6608e-08, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.1387, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3774, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0270, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4718], grad_fn=<TanhBackward>)\n",
+            "Epoch: 10\t Loss: tensor(8.6054e-06, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.1822, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.4838, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0386, requires_grad=True)}\n",
-            "DNN(1) tensor([0.7911], grad_fn=<TanhBackward>)\n",
-            "Epoch: 11\t Loss: tensor(5.7137e-08, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.1340, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3802, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0232, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4493], grad_fn=<TanhBackward>)\n",
+            "Epoch: 11\t Loss: tensor(1.7816e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.1836, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.4873, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0405, requires_grad=True)}\n",
-            "DNN(1) tensor([0.7702], grad_fn=<TanhBackward>)\n",
-            "Epoch: 12\t Loss: tensor(1.0630e-08, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.1227, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3761, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0155, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4175], grad_fn=<TanhBackward>)\n",
+            "Epoch: 12\t Loss: tensor(1.5981e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.1838, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.4904, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0441, requires_grad=True)}\n",
-            "DNN(1) tensor([0.7583], grad_fn=<TanhBackward>)\n",
-            "Epoch: 13\t Loss: tensor(3.7962e-07, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.1157, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3760, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0098, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4440], grad_fn=<TanhBackward>)\n",
+            "Epoch: 13\t Loss: tensor(1.0512e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.1827, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.4933, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0453, requires_grad=True)}\n",
-            "DNN(1) tensor([0.7535], grad_fn=<TanhBackward>)\n",
-            "Epoch: 14\t Loss: tensor(1.3211e-10, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.1122, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3779, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0064, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4677], grad_fn=<TanhBackward>)\n",
+            "Epoch: 14\t Loss: tensor(1.4457e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.1814, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.4968, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0481, requires_grad=True)}\n",
-            "DNN(1) tensor([0.7546], grad_fn=<TanhBackward>)\n",
-            "Epoch: 15\t Loss: tensor(4.3491e-10, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.1096, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3788, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0031, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4644], grad_fn=<TanhBackward>)\n",
+            "Epoch: 15\t Loss: tensor(1.2071e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.1785, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.4994, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0509, requires_grad=True)}\n",
-            "DNN(1) tensor([0.7570], grad_fn=<TanhBackward>)\n",
-            "Epoch: 16\t Loss: tensor(3.0417e-08, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.1031, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3770, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0009, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4661], grad_fn=<TanhBackward>)\n",
+            "Epoch: 16\t Loss: tensor(1.5328e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.1754, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.5013, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0559, requires_grad=True)}\n",
-            "DNN(1) tensor([0.7630], grad_fn=<TanhBackward>)\n",
-            "Epoch: 17\t Loss: tensor(2.9169e-07, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.0963, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3764, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0040, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4691], grad_fn=<TanhBackward>)\n",
+            "Epoch: 17\t Loss: tensor(1.4537e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.1707, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.5024, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0612, requires_grad=True)}\n",
-            "DNN(1) tensor([0.7567], grad_fn=<TanhBackward>)\n",
-            "Epoch: 18\t Loss: tensor(8.3562e-10, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.0909, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3771, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0068, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4822], grad_fn=<TanhBackward>)\n",
+            "Epoch: 18\t Loss: tensor(1.4585e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.1673, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.5044, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0656, requires_grad=True)}\n",
-            "DNN(1) tensor([0.7530], grad_fn=<TanhBackward>)\n",
-            "Epoch: 19\t Loss: tensor(1.3880e-07, grad_fn=<MseLossBackward>)\n",
+            "tensor(0.0887, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3810, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0104, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4979], grad_fn=<TanhBackward>)\n",
+            "Epoch: 19\t Loss: tensor(1.1779e-05, grad_fn=<MseLossBackward>)\n",
             "{'a': Parameter containing:\n",
-            "tensor(0.1626, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.5041, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0659, requires_grad=True)}\n",
-            "DNN(1) tensor([0.7480], grad_fn=<TanhBackward>)\n"
+            "tensor(0.0851, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3836, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0162, requires_grad=True)}\n",
+            "DNN(1) tensor([0.5046], grad_fn=<TanhBackward>)\n"
           ]
         }
       ]
@@ -642,10 +642,10 @@
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 265
+          "height": 266
         },
         "id": "IOMjwKY27-n2",
-        "outputId": "900383b9-02ea-4482-f434-3cbfe729ddb8"
+        "outputId": "1e8218d2-8200-4b08-9ae5-ec7152cfe18d"
       },
       "source": [
         "result = ode_solver_train(1000)\n",
@@ -657,12 +657,12 @@
         "\n",
         "plt.show()"
       ],
-      "execution_count": 131,
+      "execution_count": 10,
       "outputs": [
         {
           "output_type": "display_data",
           "data": {
-            "image/png": "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\n",
+            "image/png": "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\n",
             "text/plain": [
               "<Figure size 432x288 with 1 Axes>"
             ]
@@ -672,6 +672,61 @@
           }
         }
       ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "9adPvysOrfMr"
+      },
+      "source": [
+        "# Mean Squared Error Loss"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "kwktnR93ripb"
+      },
+      "source": [
+        "ode_solver = ODEDNNSolver(\n",
+        "    ode=ode,\n",
+        "    init_vars=ode_init,\n",
+        "    init_coeffs=ode_coeffs,\n",
+        "    dt=dt,\n",
+        "    solver=\"rk4\"\n",
+        ")\n",
+        "\n",
+        "result_train = ode_solver(1000)"
+      ],
+      "execution_count": 11,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "aVYankyRrwoW",
+        "outputId": "bc16f6f1-c234-44cb-c9e6-ce0b4f5e8f45"
+      },
+      "source": [
+        "loss = torch.nn.MSELoss()\n",
+        "loss(result_train,result)"
+      ],
+      "execution_count": 12,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "tensor(0.0529, grad_fn=<MseLossBackward>)"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 12
+        }
+      ]
     }
   ]
-}
+}
\ No newline at end of file
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
index 276b3bdd..54e4a9e1 100644
--- a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
@@ -52,11 +52,11 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -82,7 +82,6 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
@@ -94,8 +93,9 @@
        "        [1.3774e-01, 1.6335e-01, 9.9901e+00]], grad_fn=<StackBackward>)"
       ]
      },
+     "execution_count": 5,
      "metadata": {},
-     "execution_count": 5
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -108,13 +108,15 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "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",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:55:08.268586</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m1eb5974cbe\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.71554\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(51.53429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"119.710578\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(116.529328 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"184.705615\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(181.524365 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.700653\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(246.519403 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"314.695691\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(311.514441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"379.690729\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(373.328229 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m779729fcc1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"238.995879\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −1.5 -->\n      <g transform=\"translate(7.2 242.795098)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"201.621172\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −1.0 -->\n      <g transform=\"translate(7.2 205.420391)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"164.246466\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.5 -->\n      <g transform=\"translate(7.2 168.045684)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"126.871759\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 130.670978)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"89.497052\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.5 -->\n      <g transform=\"translate(15.579688 93.296271)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"52.122346\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(15.579688 55.921564)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"14.747639\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.5 -->\n      <g transform=\"translate(15.579688 18.546858)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p62fbd3b702)\" d=\"M 54.71554 126.871759 \nL 56.665391 126.76456 \nL 58.615241 126.444806 \nL 60.565093 125.915435 \nL 62.514946 125.179617 \nL 64.78977 124.064788 \nL 67.064594 122.67939 \nL 69.339418 121.02963 \nL 71.614243 119.122141 \nL 74.214042 116.635668 \nL 76.813841 113.833155 \nL 79.738615 110.31784 \nL 82.663389 106.4371 \nL 85.913138 101.722343 \nL 89.162889 96.615297 \nL 92.737612 90.589649 \nL 96.962286 82.996967 \nL 101.836909 73.751639 \nL 117.760678 43.109617 \nL 121.010431 37.538017 \nL 123.935205 32.965223 \nL 126.535004 29.333438 \nL 128.809828 26.543984 \nL 130.759677 24.474365 \nL 132.709526 22.726213 \nL 134.334401 21.529953 \nL 135.959275 20.581458 \nL 137.584149 19.889078 \nL 139.209024 19.459255 \nL 140.833898 19.296321 \nL 142.458773 19.40252 \nL 144.083647 19.777942 \nL 145.708521 20.420564 \nL 147.333396 21.32634 \nL 148.95827 22.489319 \nL 150.583145 23.901791 \nL 152.532994 25.912955 \nL 154.482843 28.251494 \nL 156.757667 31.365917 \nL 159.032492 34.862382 \nL 161.632291 39.278845 \nL 164.557064 44.717415 \nL 167.806813 51.25518 \nL 171.381537 58.938881 \nL 175.60621 68.541685 \nL 180.805808 80.946657 \nL 186.655403 95.488261 \nL 193.155055 112.261767 \nL 199.329725 128.80749 \nL 205.179412 145.09336 \nL 211.354082 162.966477 \nL 218.5037 184.407643 \nL 229.228127 216.648921 \nL 233.127918 227.623056 \nL 236.052762 235.267474 \nL 238.652623 241.489867 \nL 240.927501 246.392469 \nL 242.877397 250.128359 \nL 244.827293 253.383751 \nL 246.452206 255.698631 \nL 248.077119 257.628814 \nL 249.37705 258.883966 \nL 250.67698 259.874413 \nL 251.976911 260.594951 \nL 253.276841 261.042364 \nL 254.576772 261.215501 \nL 255.876702 261.115352 \nL 257.176633 260.744965 \nL 258.476563 260.109481 \nL 259.776494 259.215983 \nL 261.076424 258.073393 \nL 262.701338 256.311153 \nL 264.326251 254.200276 \nL 266.276146 251.245108 \nL 268.226042 247.877574 \nL 270.500921 243.499579 \nL 273.100782 238.011286 \nL 276.350608 230.612994 \nL 281.225347 218.878026 \nL 289.999878 197.693401 \nL 294.224652 188.11144 \nL 297.799461 180.506791 \nL 301.37427 173.427431 \nL 304.624096 167.474483 \nL 307.873923 161.990537 \nL 311.123749 156.973161 \nL 314.048593 152.847739 \nL 316.973421 149.07957 \nL 319.898264 145.653558 \nL 322.823108 142.552366 \nL 325.747952 139.757007 \nL 328.672795 137.247279 \nL 331.922622 134.768035 \nL 335.172448 132.585593 \nL 338.422274 130.669524 \nL 341.997083 128.832719 \nL 345.571892 127.239633 \nL 349.796666 125.614561 \nL 354.671406 124.001907 \nL 361.171058 122.118096 \nL 373.520398 118.585508 \nL 378.395137 116.936205 \nL 379.370085 116.57568 \nL 379.370085 116.57568 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482813 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p62fbd3b702\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -127,11 +129,11 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -157,13 +159,15 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "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",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:55:09.891956</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m3f82b5a707\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf64d9a577a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p9d75420db5)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9d75420db5\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -182,8 +186,8 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "Epoch: 0\t Loss: tensor(8.9032e-06, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
@@ -272,7 +276,6 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "{'a': Parameter containing:\n",
@@ -287,8 +290,9 @@
        " tensor(1.1630, requires_grad=True)}"
       ]
      },
+     "execution_count": 10,
      "metadata": {},
-     "execution_count": 10
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -298,11 +302,11 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# Predictions for nt = 10000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -310,7 +314,6 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
@@ -322,8 +325,9 @@
        "        [-4.3622e+01, -1.9648e+03,  9.9993e+01]], grad_fn=<StackBackward>)"
       ]
      },
+     "execution_count": 11,
      "metadata": {},
-     "execution_count": 11
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -337,13 +341,15 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "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",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 399.624687 297.190125\" width=\"399.624687pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T19:00:20.434921</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 399.624687 297.190125 \nL 399.624687 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 35.304688 273.312 \nL 392.424688 273.312 \nL 392.424688 7.2 \nL 35.304688 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"macdbf88d51\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.537415\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(48.356165 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"116.472902\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 20 -->\n      <g transform=\"translate(110.110402 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"181.408388\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 40 -->\n      <g transform=\"translate(175.045888 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"246.343875\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 60 -->\n      <g transform=\"translate(239.981375 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"311.279362\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 80 -->\n      <g transform=\"translate(304.916862 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"376.214849\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 100 -->\n      <g transform=\"translate(366.671099 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m7d1ed529b0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"269.185453\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −80 -->\n      <g transform=\"translate(7.2 272.984672)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"237.11892\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −60 -->\n      <g transform=\"translate(7.2 240.918139)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"205.052387\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −40 -->\n      <g transform=\"translate(7.2 208.851606)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"172.985854\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −20 -->\n      <g transform=\"translate(7.2 176.785073)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"140.919321\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0 -->\n      <g transform=\"translate(21.942187 144.71854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"108.852788\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(15.579687 112.652007)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"76.786255\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 40 -->\n      <g transform=\"translate(15.579687 80.585474)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"44.719722\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 60 -->\n      <g transform=\"translate(15.579687 48.518941)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"12.653189\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 80 -->\n      <g transform=\"translate(15.579687 16.452408)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pe2998799f4)\" d=\"M 51.537415 140.919321 \nL 53.420543 140.80929 \nL 55.433541 140.464812 \nL 57.933555 139.797424 \nL 64.199824 138.009609 \nL 65.888178 137.850188 \nL 67.738881 137.912265 \nL 75.49885 138.670245 \nL 78.193733 139.101129 \nL 84.46015 140.2447 \nL 86.083575 140.222039 \nL 87.544657 139.979079 \nL 88.97327 139.510792 \nL 90.531757 138.754366 \nL 93.324047 137.343324 \nL 94.200696 137.191381 \nL 95.012409 137.277541 \nL 95.889058 137.606621 \nL 97.025455 138.294444 \nL 99.557997 140.177094 \nL 103.551621 143.326046 \nL 105.239982 144.583784 \nL 106.084162 144.952018 \nL 106.798469 145.028754 \nL 107.512776 144.870858 \nL 108.324488 144.448816 \nL 109.590759 143.498413 \nL 112.318112 141.430552 \nL 115.987051 139.106863 \nL 119.42871 136.934977 \nL 120.240423 136.747572 \nL 120.987198 136.802814 \nL 121.79891 137.098716 \nL 122.87037 137.749067 \nL 129.656284 142.565476 \nL 131.279708 144.19379 \nL 132.545979 145.367191 \nL 133.227817 145.710943 \nL 133.779781 145.747056 \nL 134.331746 145.548326 \nL 134.981115 145.050217 \nL 135.890233 144.034623 \nL 137.870811 141.393181 \nL 139.559172 138.846892 \nL 141.669624 135.567496 \nL 142.189119 135.204653 \nL 142.578741 135.175761 \nL 142.968363 135.367041 \nL 143.45539 135.883828 \nL 144.137229 136.976214 \nL 145.565842 139.798368 \nL 147.481483 143.979707 \nL 148.780222 146.745715 \nL 149.26725 147.327608 \nL 149.624403 147.45438 \nL 149.949088 147.324644 \nL 150.33871 146.878817 \nL 150.858205 145.900345 \nL 151.83226 143.485906 \nL 154.429739 136.351443 \nL 155.241451 134.435252 \nL 155.663498 133.912993 \nL 155.955659 133.8345 \nL 156.247819 134.004083 \nL 156.604905 134.522599 \nL 157.124301 135.737317 \nL 158.228019 139.067785 \nL 161.149626 147.86265 \nL 161.539173 148.302252 \nL 161.798872 148.31674 \nL 162.05857 148.101155 \nL 162.415655 147.466757 \nL 162.967514 145.936227 \nL 164.33093 141.229907 \nL 166.538366 133.820245 \nL 166.927914 133.258556 \nL 167.187612 133.201242 \nL 167.447311 133.411683 \nL 167.771934 134.01906 \nL 168.29133 135.575638 \nL 169.427511 139.936852 \nL 171.732333 148.691181 \nL 172.056956 149.142505 \nL 172.284192 149.160979 \nL 172.511428 148.926842 \nL 172.836051 148.196354 \nL 173.355448 146.336161 \nL 174.589015 140.76809 \nL 176.439366 132.555968 \nL 176.763989 132.008772 \nL 176.958763 131.983939 \nL 177.153536 132.19541 \nL 177.445697 132.91814 \nL 177.900169 134.755739 \nL 179.003887 140.493962 \nL 180.821776 149.742683 \nL 181.146399 150.365791 \nL 181.341172 150.375171 \nL 181.535946 150.102431 \nL 181.828107 149.219186 \nL 182.315041 146.874507 \nL 183.775844 138.184347 \nL 184.879562 132.060124 \nL 185.236648 131.142024 \nL 185.431421 131.071223 \nL 185.593733 131.259893 \nL 185.853431 131.996066 \nL 186.275441 134.049242 \nL 187.281772 140.491664 \nL 188.904887 150.578525 \nL 189.197047 151.2553 \nL 189.359359 151.275634 \nL 189.52167 151.032716 \nL 189.781369 150.144463 \nL 190.203379 147.753779 \nL 191.339559 139.516245 \nL 192.605588 130.765316 \nL 192.897749 129.968277 \nL 193.06006 129.946296 \nL 193.222372 130.236521 \nL 193.48207 131.285618 \nL 193.936542 134.299243 \nL 195.46227 146.811739 \nL 196.143978 151.537405 \nL 196.436139 152.349843 \nL 196.565988 152.352522 \nL 196.7283 152.035944 \nL 196.987998 150.86678 \nL 197.44247 147.520679 \nL 199.714831 129.168723 \nL 199.877142 129.010634 \nL 199.909604 129.027653 \nL 200.039454 129.256767 \nL 200.26669 130.231472 \nL 200.656237 133.13547 \nL 201.792417 144.116517 \nL 202.733824 152.482203 \nL 202.993522 153.378313 \nL 203.123372 153.395272 \nL 203.285683 152.999049 \nL 203.545381 151.514897 \nL 204.032316 147.022612 \nL 205.947591 128.25149 \nL 206.142365 127.916434 \nL 206.272214 128.113595 \nL 206.466988 129.006741 \nL 206.824073 132.038347 \nL 207.830404 143.494197 \nL 208.771811 153.372206 \nL 209.031509 154.351367 \nL 209.128896 154.343793 \nL 209.258745 154.006148 \nL 209.485981 152.605263 \nL 209.907991 148.225915 \nL 211.790804 127.061333 \nL 211.920653 126.892647 \nL 211.953115 126.917193 \nL 212.082965 127.279058 \nL 212.310201 128.825362 \nL 212.73221 133.646171 \nL 214.485174 155.155337 \nL 214.647486 155.441661 \nL 214.744873 155.258082 \nL 214.939646 154.138053 \nL 215.296732 150.193324 \nL 217.212007 125.954075 \nL 217.276932 125.931095 \nL 217.309394 125.969039 \nL 217.439243 126.44302 \nL 217.666479 128.364491 \nL 218.153414 135.094031 \nL 219.614217 155.945979 \nL 219.808991 156.473688 \nL 219.906377 156.247325 \nL 220.101151 154.876695 \nL 220.458236 150.158414 \nL 222.178738 124.948582 \nL 222.243663 124.877389 \nL 222.276125 124.90238 \nL 222.405974 125.399513 \nL 222.63321 127.611222 \nL 223.120144 135.415246 \nL 224.418636 156.694578 \nL 224.61341 157.455887 \nL 224.710797 157.24793 \nL 224.873108 156.06601 \nL 225.197731 151.429372 \nL 226.885771 123.84253 \nL 226.950695 123.874665 \nL 227.080544 124.514247 \nL 227.30778 127.207569 \nL 227.859639 137.584105 \nL 228.963357 157.753994 \nL 229.125669 158.474176 \nL 229.158131 158.461737 \nL 229.255518 158.108009 \nL 229.450292 156.110883 \nL 229.839839 148.9771 \nL 231.170793 123.267141 \nL 231.300643 122.838075 \nL 231.333105 122.874872 \nL 231.462954 123.590087 \nL 231.69019 126.693759 \nL 232.274511 139.214649 \nL 233.24838 158.880432 \nL 233.410692 159.517224 \nL 233.508078 159.148845 \nL 233.702852 156.878624 \nL 234.0924 148.743206 \nL 235.325967 122.242133 \nL 235.455816 121.849173 \nL 235.488278 121.921107 \nL 235.618128 122.869483 \nL 235.877826 127.294549 \nL 236.689383 147.43376 \nL 237.273705 159.750995 \nL 237.436016 160.537887 \nL 237.533403 160.129739 \nL 237.728177 157.524173 \nL 238.150186 147.446972 \nL 239.221442 121.520335 \nL 239.351291 120.809293 \nL 239.383754 120.829039 \nL 239.481141 121.363952 \nL 239.675914 124.312477 \nL 240.130386 136.012239 \nL 241.104255 160.737803 \nL 241.234104 161.53326 \nL 241.266567 161.519662 \nL 241.363954 160.965624 \nL 241.558727 157.836512 \nL 242.045662 144.508904 \nL 242.954606 120.497746 \nL 243.084455 119.771672 \nL 243.116917 119.820506 \nL 243.214304 120.516412 \nL 243.409078 124.024175 \nL 243.928475 139.220535 \nL 244.772494 162.027243 \nL 244.869881 162.544576 \nL 244.902344 162.518865 \nL 244.99973 161.850394 \nL 245.194504 158.225463 \nL 245.713901 142.288333 \nL 246.525458 119.304062 \nL 246.622845 118.760498 \nL 246.655307 118.792378 \nL 246.752694 119.52276 \nL 246.947468 123.417044 \nL 247.499327 141.337979 \nL 248.213498 162.712018 \nL 248.343347 163.575983 \nL 248.375809 163.508296 \nL 248.473196 162.631396 \nL 248.700432 157.397555 \nL 249.479527 130.13527 \nL 249.901537 118.473225 \nL 249.998924 117.768398 \nL 250.063848 117.906402 \nL 250.193697 119.592371 \nL 250.453396 126.994058 \nL 251.622038 164.561089 \nL 251.654501 164.603632 \nL 251.686963 164.51452 \nL 251.816812 162.898724 \nL 252.076511 155.26156 \nL 253.212691 116.834754 \nL 253.245153 116.747496 \nL 253.277615 116.800308 \nL 253.375002 117.77999 \nL 253.569776 122.783352 \nL 254.251484 149.808335 \nL 254.738419 165.200314 \nL 254.803343 165.610382 \nL 254.868268 165.426461 \nL 254.998117 163.362533 \nL 255.290278 153.293311 \nL 256.296609 115.936836 \nL 256.361533 115.733226 \nL 256.393996 115.869027 \nL 256.523845 117.910343 \nL 256.816005 128.344125 \nL 257.789874 166.308208 \nL 257.854799 166.627352 \nL 257.887261 166.534818 \nL 257.984648 165.277184 \nL 258.211884 157.949878 \nL 259.315602 114.706767 \nL 259.348064 114.73593 \nL 259.445488 115.874024 \nL 259.640336 121.969886 \nL 260.77695 167.63377 \nL 260.8419 167.198088 \nL 261.004273 163.163347 \nL 261.426444 143.690887 \nL 262.108412 114.297841 \nL 262.205836 113.702071 \nL 262.238311 113.902312 \nL 262.36821 116.565273 \nL 262.660482 129.314346 \nL 263.537298 168.463204 \nL 263.569773 168.640978 \nL 263.602247 168.607146 \nL 263.699671 167.264575 \nL 263.926994 158.629041 \nL 264.933709 112.683392 \nL 264.966184 112.706695 \nL 265.063608 114.089343 \nL 265.258456 121.495536 \nL 266.297646 169.665084 \nL 266.33012 169.474305 \nL 266.460019 166.514376 \nL 266.752291 152.107704 \nL 267.564158 111.854408 \nL 267.596633 111.665658 \nL 267.629108 111.725701 \nL 267.726532 113.356003 \nL 267.953854 123.368972 \nL 268.89562 170.696524 \nL 268.960569 170.236613 \nL 269.090468 166.45903 \nL 269.44769 146.416255 \nL 270.129658 110.878108 \nL 270.162133 110.657757 \nL 270.194607 110.71291 \nL 270.292031 112.483777 \nL 270.519354 123.379693 \nL 271.428645 171.710631 \nL 271.493594 171.032466 \nL 271.655968 164.997144 \nL 272.240512 127.607572 \nL 272.597733 110.070537 \nL 272.662683 109.640687 \nL 272.695157 109.881421 \nL 272.825056 113.642205 \nL 273.149803 133.45435 \nL 273.831771 172.573071 \nL 273.864246 172.726989 \nL 273.896721 172.56083 \nL 273.994145 170.232329 \nL 274.253942 155.334895 \nL 275.033334 108.679381 \nL 275.065809 108.626895 \nL 275.163233 110.437613 \nL 275.390556 122.909228 \nL 276.202423 173.636851 \nL 276.234898 173.726961 \nL 276.299847 172.860695 \nL 276.46222 165.578742 \nL 277.371511 107.603106 \nL 277.436461 108.119256 \nL 277.566359 113.119695 \nL 277.98853 143.876022 \nL 278.47565 174.427376 \nL 278.508125 174.733028 \nL 278.5406 174.654073 \nL 278.638024 172.193686 \nL 278.865347 157.732824 \nL 279.612264 106.689361 \nL 279.644739 106.580767 \nL 279.709688 107.562761 \nL 279.872062 115.794258 \nL 280.748878 175.750758 \nL 280.781353 175.428266 \nL 280.911251 170.343203 \nL 281.300947 139.528243 \nL 281.788068 105.87419 \nL 281.820542 105.565566 \nL 281.853017 105.696544 \nL 281.950441 108.607687 \nL 282.210239 127.63378 \nL 282.892207 176.775883 \nL 282.957156 176.038195 \nL 283.11953 167.431403 \nL 283.963871 104.564404 \nL 284.028821 105.78048 \nL 284.191194 115.484143 \nL 285.003061 177.79147 \nL 285.035536 177.433384 \nL 285.165434 171.536906 \nL 285.587605 133.586411 \nL 286.009776 103.576328 \nL 286.042251 103.623463 \nL 286.139675 106.758101 \nL 286.399472 128.229358 \nL 287.016491 178.720788 \nL 287.048966 178.779161 \nL 287.14639 175.810761 \nL 287.373713 157.111947 \nL 288.023206 102.561145 \nL 288.055681 102.624316 \nL 288.153105 106.046303 \nL 288.412902 128.968478 \nL 288.997446 179.66576 \nL 289.029921 179.819747 \nL 289.094871 178.388048 \nL 289.257244 166.84511 \nL 290.004162 101.523026 \nL 290.036636 101.985286 \nL 290.166535 109.178326 \nL 290.68613 163.409909 \nL 290.945927 180.814591 \nL 290.978402 180.708441 \nL 291.075826 176.781409 \nL 291.368098 147.973169 \nL 291.887693 100.584384 \nL 291.920168 100.551925 \nL 292.017592 104.242933 \nL 292.277389 129.886742 \nL 292.829459 181.807588 \nL 292.861933 181.738903 \nL 292.959357 177.636935 \nL 293.251629 147.217472 \nL 293.771224 99.471293 \nL 293.836174 101.020069 \nL 293.998547 114.397945 \nL 294.680515 182.874673 \nL 294.71299 182.534193 \nL 294.810414 177.439045 \nL 295.135161 140.74846 \nL 295.589806 98.460018 \nL 295.654756 100.199149 \nL 295.817129 114.569266 \nL 296.466623 183.850027 \nL 296.499097 183.702914 \nL 296.596521 178.807133 \nL 296.921268 140.524197 \nL 297.343439 97.522963 \nL 297.375914 97.553602 \nL 297.473338 102.301059 \nL 297.76561 137.098958 \nL 298.220255 184.867507 \nL 298.25273 184.693263 \nL 298.350154 179.413965 \nL 298.674901 139.049943 \nL 299.097072 96.435713 \nL 299.162021 98.472706 \nL 299.356869 119.009498 \nL 299.941413 185.920091 \nL 300.006363 184.19952 \nL 300.168736 167.968311 \nL 300.785755 95.408533 \nL 300.81823 95.910958 \nL 300.948128 106.026682 \nL 301.630097 186.860029 \nL 301.695046 184.213036 \nL 301.889894 161.315642 \nL 302.441964 94.395909 \nL 302.506913 96.454315 \nL 302.669286 114.37192 \nL 303.253831 187.953209 \nL 303.286305 187.471255 \nL 303.416204 176.605027 \nL 304.065698 93.394686 \nL 304.130647 95.819331 \nL 304.325495 119.983807 \nL 304.84509 188.886188 \nL 304.877565 188.761686 \nL 304.974989 182.218692 \nL 305.33221 128.10421 \nL 305.656957 92.428488 \nL 305.754381 98.329357 \nL 306.079128 147.83113 \nL 306.436349 189.932738 \nL 306.501299 186.964632 \nL 306.696147 160.441615 \nL 307.183267 91.497877 \nL 307.215742 91.511091 \nL 307.313166 98.350663 \nL 307.670387 156.061233 \nL 307.962659 190.997297 \nL 308.027609 188.615842 \nL 308.222457 161.717725 \nL 308.709577 90.408641 \nL 308.742051 90.623947 \nL 308.839475 98.375929 \nL 309.261646 170.250219 \nL 309.456494 191.902862 \nL 309.488969 191.773792 \nL 309.586393 184.028116 \nL 310.008564 110.762692 \nL 310.203412 89.362012 \nL 310.235887 89.712519 \nL 310.333311 98.212663 \nL 310.95033 193.010538 \nL 311.047754 186.473519 \nL 311.3725 129.090602 \nL 311.664773 88.354177 \nL 311.697247 88.70515 \nL 311.794671 97.637125 \nL 312.379216 193.892421 \nL 312.47664 189.332643 \nL 312.736437 143.695676 \nL 313.093658 87.42038 \nL 313.126133 87.558337 \nL 313.223557 96.419707 \nL 313.808101 195.027198 \nL 313.905525 189.048411 \nL 314.197798 134.06394 \nL 314.522544 86.334484 \nL 314.587494 90.322874 \nL 314.814816 131.343497 \nL 315.204513 196.057901 \nL 315.269462 193.091027 \nL 315.46431 159.284554 \nL 315.886481 85.319279 \nL 315.918956 85.737646 \nL 316.01638 96.209435 \nL 316.568449 197.033515 \nL 316.633399 194.360268 \nL 316.828247 159.569076 \nL 317.250417 84.249482 \nL 317.315367 87.747835 \nL 317.510215 124.163651 \nL 317.932386 197.949973 \nL 318.02981 188.222604 \nL 318.581879 83.237035 \nL 318.679303 91.188647 \nL 319.036525 169.712011 \nL 319.231373 199.0433 \nL 319.263848 198.567386 \nL 319.361272 186.71095 \nL 319.880866 82.325739 \nL 319.945816 85.024001 \nL 320.140664 123.324532 \nL 320.53036 200.079691 \nL 320.562835 199.468542 \nL 320.660259 186.777519 \nL 321.179854 81.217807 \nL 321.244803 85.650221 \nL 321.472126 135.254646 \nL 321.796873 200.894627 \nL 321.829347 200.831966 \nL 321.926771 188.861925 \nL 322.446366 80.221232 \nL 322.511315 85.141977 \nL 322.738638 136.948234 \nL 323.063385 202.142571 \nL 323.09586 201.188089 \nL 323.225758 179.256723 \nL 323.680404 79.210927 \nL 323.712879 80.03615 \nL 323.842777 102.066692 \nL 324.297423 203.159115 \nL 324.329897 202.098168 \nL 324.459796 179.050775 \nL 324.914442 78.215453 \nL 324.946916 79.891868 \nL 325.076815 104.824432 \nL 325.498986 203.954222 \nL 325.531461 203.747647 \nL 325.628885 189.705267 \nL 326.116005 77.179545 \nL 326.180954 82.771806 \nL 326.440752 149.746361 \nL 326.700549 205.14194 \nL 326.733024 204.309555 \nL 326.862922 180.049769 \nL 327.285093 76.313454 \nL 327.317568 76.716989 \nL 327.414992 92.120042 \nL 327.869638 206.00276 \nL 327.934587 202.620834 \nL 328.129435 153.636436 \nL 328.454182 75.230115 \nL 328.486656 75.908274 \nL 328.58408 92.539693 \nL 329.038726 207.210184 \nL 329.103675 201.660272 \nL 329.363473 129.244616 \nL 329.62327 74.334818 \nL 329.720694 89.296758 \nL 330.17534 208.206074 \nL 330.240289 202.925519 \nL 330.467612 138.692549 \nL 330.727409 73.423265 \nL 330.759884 73.581173 \nL 330.857308 90.387761 \nL 331.311954 209.057548 \nL 331.344428 206.458288 \nL 331.506802 164.213855 \nL 331.864023 72.191039 \nL 331.961447 87.391988 \nL 332.416093 210.120073 \nL 332.481042 202.118798 \nL 332.805789 99.714757 \nL 332.968162 71.399994 \nL 333.000637 74.486849 \nL 333.195485 130.617338 \nL 333.487757 211.105565 \nL 333.520232 210.388244 \nL 333.65013 180.540732 \nL 334.039827 70.096227 \nL 334.072301 72.219987 \nL 334.234675 116.758403 \nL 334.559421 212.005559 \nL 334.591896 211.56595 \nL 334.68932 191.699211 \nL 335.111491 69.186729 \nL 335.143966 71.932832 \nL 335.306339 119.122393 \nL 335.631086 213.275846 \nL 335.663561 211.395736 \nL 335.793459 176.877935 \nL 336.150681 68.093977 \nL 336.183155 69.484735 \nL 336.313054 103.503423 \nL 336.670276 214.231876 \nL 336.70275 212.920219 \nL 336.832649 178.528106 \nL 337.18987 67.062375 \nL 337.222345 68.727328 \nL 337.352244 104.417551 \nL 337.709465 215.271484 \nL 337.74194 212.808023 \nL 337.904313 162.6712 \nL 338.22906 66.384944 \nL 338.326484 87.135444 \nL 338.71618 216.225961 \nL 338.78113 209.589639 \nL 339.040927 114.597147 \nL 339.235775 65.250345 \nL 339.26825 68.733255 \nL 339.463098 135.936133 \nL 339.722895 217.300529 \nL 339.75537 215.420273 \nL 339.885269 176.482403 \nL 340.210016 64.322651 \nL 340.24249 64.944498 \nL 340.339914 89.418544 \nL 340.729611 217.853728 \nL 340.762085 213.590494 \nL 340.956933 142.28779 \nL 341.216731 63.321202 \nL 341.314155 85.966001 \nL 341.703851 219.00437 \nL 341.736326 214.945001 \nL 341.931174 142.13001 \nL 342.190971 62.550443 \nL 342.288395 87.132624 \nL 342.645617 220.056498 \nL 342.710566 213.646206 \nL 342.970363 108.18814 \nL 343.132737 61.008175 \nL 343.165211 63.32177 \nL 343.327585 121.473965 \nL 343.619857 221.032907 \nL 343.652332 216.770903 \nL 343.84718 139.817719 \nL 344.074502 60.085943 \nL 344.106977 61.755948 \nL 344.236876 105.657838 \nL 344.561623 221.947237 \nL 344.594097 217.325869 \nL 344.788945 137.852285 \nL 345.016268 58.997142 \nL 345.048743 61.905049 \nL 345.211116 124.363761 \nL 345.470914 223.210576 \nL 345.503388 221.662228 \nL 345.633287 176.105779 \nL 345.925559 58.428225 \nL 345.958034 59.036402 \nL 346.087933 103.356496 \nL 346.380205 223.686833 \nL 346.412679 223.563891 \nL 346.510103 194.424036 \nL 346.83485 57.66609 \nL 346.8998 63.562804 \nL 347.159597 181.302768 \nL 347.289496 224.875725 \nL 347.32197 224.269047 \nL 347.451869 177.969387 \nL 347.744141 56.151583 \nL 347.776616 57.7645 \nL 347.906515 106.699162 \nL 348.198787 226.354116 \nL 348.231261 223.216913 \nL 348.393635 154.546428 \nL 348.653432 55.343388 \nL 348.685907 60.489894 \nL 348.91323 166.454749 \nL 349.075603 227.142024 \nL 349.108078 225.587395 \nL 349.237976 174.750939 \nL 349.530249 54.151186 \nL 349.562723 58.802053 \nL 349.757571 149.487498 \nL 349.952419 228.205657 \nL 349.984894 226.29693 \nL 350.114793 173.448453 \nL 350.407065 53.600697 \nL 350.43954 59.657802 \nL 350.699337 188.943286 \nL 350.829236 229.28532 \nL 350.86171 224.956606 \nL 351.056558 131.572387 \nL 351.251407 52.001854 \nL 351.283881 54.977204 \nL 351.446255 129.473077 \nL 351.673577 230.196983 \nL 351.706052 228.131602 \nL 351.835951 172.22953 \nL 352.095748 51.256851 \nL 352.128223 52.896661 \nL 352.258122 108.753895 \nL 352.517919 231.090145 \nL 352.550394 229.365436 \nL 352.680292 172.644722 \nL 352.94009 50.120429 \nL 352.972565 52.459199 \nL 353.134938 129.50105 \nL 353.362261 232.339136 \nL 353.394735 228.847975 \nL 353.557109 148.990297 \nL 353.784432 49.12961 \nL 353.816906 54.299884 \nL 354.011754 156.607802 \nL 354.206602 232.457747 \nL 354.239077 225.133958 \nL 354.596299 48.120644 \nL 354.693723 75.595136 \nL 355.018469 234.068383 \nL 355.050944 228.123957 \nL 355.278267 101.817145 \nL 355.408166 47.282877 \nL 355.44064 49.283482 \nL 355.570539 111.591466 \nL 355.830336 234.941294 \nL 355.862811 228.446275 \nL 356.122608 79.634395 \nL 356.220032 46.047838 \nL 356.252507 49.597959 \nL 356.414881 136.098344 \nL 356.609729 235.649251 \nL 356.642203 234.714566 \nL 356.772102 171.970964 \nL 357.031899 45.599183 \nL 357.064374 52.854477 \nL 357.421596 237.168932 \nL 357.486545 218.197263 \nL 357.811292 44.055973 \nL 357.876241 61.442731 \nL 358.200988 238.285396 \nL 358.265937 221.62758 \nL 358.590684 43.062475 \nL 358.655633 59.920047 \nL 358.98038 239.26457 \nL 359.04533 221.247237 \nL 359.370076 42.193454 \nL 359.435026 62.310443 \nL 359.759773 239.715989 \nL 359.792247 231.910677 \nL 360.116994 42.027234 \nL 360.214418 69.425854 \nL 360.50669 241.134019 \nL 360.539165 237.577531 \nL 360.701538 140.24781 \nL 360.896386 40.335681 \nL 360.928861 47.331862 \nL 361.253608 241.439909 \nL 361.351032 211.786195 \nL 361.643304 39.166183 \nL 361.675779 45.062541 \nL 361.903101 194.856286 \nL 362.000525 242.3029 \nL 362.065475 230.447876 \nL 362.390222 38.305204 \nL 362.455171 60.864267 \nL 362.747443 243.920141 \nL 362.812392 227.889945 \nL 363.137139 38.402648 \nL 363.169614 48.578185 \nL 363.494361 244.911749 \nL 363.55931 220.809152 \nL 363.851582 36.21663 \nL 363.884057 41.638451 \nL 364.078905 175.398104 \nL 364.208804 245.919932 \nL 364.241278 242.258074 \nL 364.403652 134.428606 \nL 364.566025 35.749107 \nL 364.5985 38.164813 \nL 364.760873 145.281035 \nL 364.923247 246.327822 \nL 364.955721 244.605192 \nL 365.08562 162.769127 \nL 365.280468 35.087468 \nL 365.312943 36.69548 \nL 365.442841 119.210252 \nL 365.637689 247.382941 \nL 365.670164 245.292556 \nL 365.832538 135.42113 \nL 365.994911 33.674613 \nL 366.027386 36.857975 \nL 366.189759 149.375018 \nL 366.352132 248.934169 \nL 366.384607 244.045401 \nL 366.579455 101.947864 \nL 366.709354 32.395873 \nL 366.741829 39.580323 \nL 367.066575 249.332665 \nL 367.131525 219.878247 \nL 367.391322 32.490833 \nL 367.456272 46.887941 \nL 367.748544 250.872701 \nL 367.813493 228.832831 \nL 368.105765 31.002393 \nL 368.13824 41.115589 \nL 368.430512 251.285117 \nL 368.495461 233.570126 \nL 368.787733 29.687972 \nL 368.852683 58.048586 \nL 369.11248 252.095306 \nL 369.17743 234.65886 \nL 369.469702 28.913819 \nL 369.502176 38.792843 \nL 369.794448 253.552015 \nL 369.859398 232.046371 \nL 370.15167 29.159715 \nL 370.184145 42.237564 \nL 370.476417 254.553678 \nL 370.541366 224.984441 \nL 370.801163 26.773355 \nL 370.866113 50.219237 \nL 371.12591 254.682302 \nL 371.19086 236.938993 \nL 371.483132 27.249918 \nL 371.515606 40.758977 \nL 371.807879 255.897384 \nL 371.872828 221.573188 \nL 372.132625 25.066298 \nL 372.1651 35.40145 \nL 372.457372 257.404809 \nL 372.522321 226.370031 \nL 372.782119 23.921417 \nL 372.814594 33.099518 \nL 373.106866 258.361799 \nL 373.171815 227.043584 \nL 373.431612 23.12587 \nL 373.464087 33.451212 \nL 373.756359 258.871401 \nL 373.821309 223.478325 \nL 374.081106 23.180708 \nL 374.113581 36.939688 \nL 374.373378 258.531059 \nL 374.438328 241.608735 \nL 374.698125 21.632097 \nL 374.763074 44.807086 \nL 375.022872 261.216 \nL 375.087821 230.982726 \nL 375.347619 20.789039 \nL 375.380093 33.520925 \nL 375.639891 260.58082 \nL 375.70484 241.686099 \nL 375.964637 19.296 \nL 376.029587 48.938571 \nL 376.19196 210.859168 \nL 376.19196 210.859168 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 35.304688 273.312 \nL 35.304688 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 392.424688 273.312 \nL 392.424688 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 35.304688 273.312 \nL 392.424688 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 35.304688 7.2 \nL 392.424688 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe2998799f4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"35.304688\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -366,18 +372,82 @@
     "scipy.io.savemat(\"Duffing_fitRandomSample.mat\", {\"x\": results_test_np})"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Mean Squared Error Loss"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")\n",
+    "\n",
+    "result_train = ode_solver(1000)"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs={'a': -0.5913,\n",
+    "                'b': 0.2579,\n",
+    "                'd': -0.1300,\n",
+    "                'g': 0.4061,\n",
+    "                'w': 1.1630},\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")\n",
+    "\n",
+    "result_test = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tensor(1.2754, grad_fn=<MseLossBackward>)"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "loss = torch.nn.MSELoss()\n",
+    "loss(result_train,result_test)"
+   ]
   }
  ],
  "metadata": {
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  },
   "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)",
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -390,9 +460,6 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
   }
  },
  "nbformat": 4,
diff --git a/examples/ode/SEIR/SEIRTest_fit.ipynb b/examples/ode/SEIR/SEIRTest_fit.ipynb
index fdf2724a..8dd0491c 100644
--- a/examples/ode/SEIR/SEIRTest_fit.ipynb
+++ b/examples/ode/SEIR/SEIRTest_fit.ipynb
@@ -54,11 +54,11 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -85,7 +85,6 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
@@ -98,8 +97,9 @@
        "       grad_fn=<StackBackward>)"
       ]
      },
+     "execution_count": 5,
      "metadata": {},
-     "execution_count": 5
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -112,13 +112,15 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "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",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:38.503386</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"md91c20dadd\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m6a5bde0d64\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m6a5bde0d64\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m6a5bde0d64\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m6a5bde0d64\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m6a5bde0d64\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m6a5bde0d64\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pdffc33c2db)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pdffc33c2db)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pdffc33c2db)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pdffc33c2db)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pdffc33c2db\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAGdCAYAAADAAnMpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAABqfklEQVR4nO3dd5wU9f3H8df263t0jiqg9KKAIlUBpYhKUzFWjJqgsRCiseWXqEnEaKLGGOw1GjVKERGRojTpRamC0o5ycBxwe33r/P6Yuz1OQLnj7ubK+/l47GNnvzN789kRb983853v12YYhoGIiIiIRexWFyAiIiK1m8KIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiKafVBZyOSCTCgQMHSExMxGazWV2OiIiInAbDMMjOzqZJkybY7ac+/1EtwsiBAwdo3ry51WWIiIhIGezdu5dmzZqdcn21CCOJiYmA+WGSkpIsrkZEREROR1ZWFs2bN49+j59KtQgjRZdmkpKSFEZERESqmZ/rYqEOrCIiImIphRERERGxlMKIiIiIWKpa9BkRERGpbgzDIBQKEQ6HrS6lwjgcDpxO5xkPu6EwIiIiUs4CgQBpaWnk5eVZXUqFi4uLIyUlBbfbXeafoTAiIiJSjiKRCLt27cLhcNCkSRPcbneNHLDTMAwCgQCHDx9m165dnHPOOT85sNlPURgREREpR4FAgEgkQvPmzYmLi7O6nAoVGxuLy+Viz549BAIBYmJiyvRz1IFVRESkApT1LEF1Ux6fs3YcKREREamyFEZERETEUgojIiIiYimFEREREQEgPT2dX//617Ro0QKPx0Pjxo0ZOnQoy5cvr9D91u67aQ58A/P+D656C+LrWV2NiIiIpcaOHUswGOTtt9+mdevWHDp0iAULFnD06NEK3W/tDSOGATPvgoMb4bPfwtVvQw28D1xERKxnGAb5wcofiTXW5TjtMU4yMzNZunQpCxcu5KKLLgKgZcuWXHDBBRVZIlCbw4jNBle+AK8Nhi2fwMaPoevVVlclIiI1UH4wTMc/flHp+93y+FDi3Kf3VZ+QkEBCQgIzZszgwgsvxOPxVHB1xWp3n5Em58JFD5jLs38HWQcsLUdERMQqTqeTt956i7fffpvk5GT69u3Lww8/zIYNGyp83zbDMIwK38sZysrKwuv14vP5SEpKKt8fHg7B65fCgXXQZjDcMFWXa0REpMwKCgrYtWsXrVq1io5IWh0u0xQpKChgyZIlLF++nDlz5rBq1Spee+01xo8ff8rtf/x5i5zu97fCCMDh7fByfwgVwIhn4Pxby38fIiJSK/zUl3N1dNtttzFv3jz27Nlz0vXlEUZq92WaIg3awuA/mctz/w+O7rS2HhERkSqiY8eO5ObmVug+FEaK9JoAZ/WHYC5MvwMilX86TURExCpHjhxh0KBBvPvuu2zYsIFdu3bx0Ucf8dRTTzFy5MgK3XftvZvmx+x2GDUFpvSBvStg+QvQ916rqxIREakUCQkJ9OrVi2effZYdO3YQDAZp3rw5t99+Ow8//HCF7lt9Rn5s3X/M8UccbvjVQmjUqWL3JyIiNUpN6zPyc9RnpCKcdwO0HQbhAEz/NYQCVlckIiJSoymM/JjNBlc8D7F1zdFZF/3N6opERERqNIWRk0lsBJc/ay4vfQb2VOwEQSIiIrWZwsipdBoF514PRgSm/QoKfFZXJCIiUiMpjPyU4X+DOmeBLxU+u8/qakRERGokhZGf4kmEMa+CzQEb/wcbPrK6IhERkRpHYeTnNL8ALvq9ufzZJDh28uFwRUREpGwURk5H//ug2QXgz4LpEzQ6q4iISDlSGDkdDieMeQXciZC6DJY+a3VFIiIiNYbCyOmq2woue9pcXjgZ9q21th4REZFyNn78eGw22wmPYcOGVeh+FUZKo9u10GkMREIw7Tbw51hdkYiISLkaNmwYaWlpJR7vv/9+he5TE+WVhs0Glz8De1fB0Z0w50EY+YLVVYmIiJQbj8dD48aNK3WfCiOlFVsHxrwMb10O6/8DrS+GLldZXZWIiFRlhgHBvMrfryvO/EO6ilMYKYuz+sGA+2Dx0/DpRGjaHeq2troqERGpqoJ58ESTyt/vwwfAHV+qt8yaNYuEhIQSbQ888AD/93//V56VlaAwUlYXPQi7l0Lqcvj4l/DLueB0W12ViIjIGRk4cCAvvvhiiba6detW6D4VRsrK4YSxr8FL/eDAeljwGAz9q9VViYhIVeSKM89SWLHfUoqPj+fss8+ugGJOTWHkTHibwcgp8MEvYPkL0GoAtB1qdVUiIlLV2GylvlxSm+jW3jPV/jLoNcFcnj4BsixIviIiIuXE7/dz8ODBEo+MjIwK3afCSHm49HFo3BXyj8LU2zVcvIiIVFtz5swhJSWlxKNfv34Vuk+FkfLg9MDVb4E7AfYsNe+yERERqWbeeustDMM44fHdd99V6H4VRspLvTZweeGcNYv+Zt5pIyIiIj9LYaQ8db0Gzr0ejAhMvQ1yK/Yam4iISE2gMFLeLnsa6reF7DQzkKj/iIiIyE9SGClv7ni45h3z3u6dX8Gip6yuSEREpEpTGKkIDTvA5c+Zy4v+Bj8ssLQcERGRqqxMYWTKlCm0atWKmJgYevTowZIlS35y+/fee49u3boRFxdHSkoKt9xyC0eOHClTwdVGt3HQ4xbAMC/X+PZZXZGIiEiVVOow8uGHHzJx4kQeeeQR1q9fT//+/Rk+fDipqakn3X7p0qXcdNNN3HrrrWzevJmPPvqI1atXc9ttt51x8VXesCchpZs5/shHt0A4aHVFIiIiVU6pw8gzzzzDrbfeym233UaHDh147rnnaN68+QmT6hRZsWIFZ511Fvfccw+tWrWiX79+/PrXv2bNmjVnXHyV54qBq98Gjxf2rYJ5f7K6IhERkSqnVGEkEAiwdu1ahgwZUqJ9yJAhLFu27KTv6dOnD/v27WP27NkYhsGhQ4f4+OOPGTFixCn34/f7ycrKKvGotuq2gtEvmcsr/g1bPrG2HhERkSqmVGEkIyODcDhMo0aNSrQ3atSIgwcPnvQ9ffr04b333mPcuHG43W4aN25McnIy//rXv065n8mTJ+P1eqOP5s2bl6bMqqf9ZdDnHnP5k7vgyA5r6xEREalCytSB1WazlXhtGMYJbUW2bNnCPffcwx//+EfWrl3LnDlz2LVrFxMmTDjlz3/ooYfw+XzRx969e8tSZtUy+I/Qog/4s+B/N0Ew3+qKREREShg/fjyjRo2q9P06S7Nx/fr1cTgcJ5wFSU9PP+FsSZHJkyfTt29f7r//fgC6du1KfHw8/fv35y9/+QspKSknvMfj8eDxeEpTWtXncMFVb8DL/eHQJvjsdzDy3+a00iIiIrVYqc6MuN1uevTowbx580q0z5s3jz59+pz0PXl5edjtJXfjcDgA84xKrZKUAmNfB5sdvnkP1rxudUUiIiKWK9WZEYBJkyZx44030rNnT3r37s0rr7xCampq9LLLQw89xP79+3nnnXcAuOKKK7j99tt58cUXGTp0KGlpaUycOJELLriAJk2alO+nqQ5aXwSXPArz/gifPwiNOkOLC62uSkREKpBhGOSHKv/yfKwz9pTdKKqSUoeRcePGceTIER5//HHS0tLo3Lkzs2fPpmXLlgCkpaWVGHNk/PjxZGdn88ILL/C73/2O5ORkBg0axN/+9rfy+xTVTZ974MB62Dzd7D/yq0XmWRMREamR8kP59Ppvr0rf78rrVhLniqv0/ZZWqcMIwJ133smdd9550nVvvfXWCW133303d999d1l2VTPZbHDlC3B4G6RvMQPJ+M/A6ba6MhERkUpXpjAi5cCTAOPehVcHmgOizXkALn/W6qpERKQCxDpjWXndSkv2Wx0ojFipXhsY8xr89xpY8wY0OQ+632R1VSIiUs5sNlu1uFxiFc3aa7W2Q2DgI+byZ7+DfWutrUdERKSSKYxUBf1/B+1GQDgAH94AOelWVyQiIlJpFEaqArvdnL+m3jmQfQA+Gq8ZfkVEpNK99dZbzJgxo9L3qzBSVcQkwbX/BXci7Pka5jxkdUUiIiKVQmGkKmnQFsa8DNhg9auwWiO0iohIzacwUtW0HwGD/mAuf/572LXE2npEREQqmMJIVdT/d9D5KoiE4H83wtFdVlckIiJSYRRGqiKbDUa+AE26Q/4xeP9aKMiyuioREZEKoTBSVblizQ6tiSlw+DuYdjtEwlZXJSIiUu4URqqypBS49j1wxsD2ObDgcasrEhERKXcKI1Vd0x4w8t/m8tfPwbcfWFqOiIhIeVMYqQ66XGV2agWYeQ/sW2NtPSIiIuVIYaS6GPiHwiHj/fDBdZC51+qKREREyoXCSHVht8OYV6BRZ8g5BP8dpztsRESkXI0fPx6bzYbNZsPpdNKiRQvuuOMOjh07VqH7VRipTjwJ8IsPIKERpG8unMMmZHVVIiJSgwwbNoy0tDR2797Na6+9xqeffsqdd95ZoftUGKlukpvDdR+CKw52LIDP7wfDsLoqERGpITweD40bN6ZZs2YMGTKEcePGMXfu3Ardp7NCf7pUjCbnwdjX4IPrYc0bULcN9LnL6qpEROQUDMPAyM+v9P3aYmOx2Wxlfv/OnTuZM2cOLperHKs6kcJIddV+BAz9K3zxMMz9A9RpCR2usLoqERE5CSM/n23de1T6ftutW4stLq5U75k1axYJCQmEw2EKCgoAeOaZZyqivChdpqnOLrwTzr8NMGDq7bB/rdUViYhINTdw4EC++eYbVq5cyd13383QoUO5++67K3SfOjNSndlsMOxvcGwP/DAP/nst3L4AkltYXZmIiBzHFhtLu3WV/wejLTa21O+Jj4/n7LPPBuD5559n4MCBPPbYY/z5z38u7/KiFEaqO4cTrnoD3hwOhzaZt/z+cg7EeK2uTERECtlstlJfLqkq/vSnPzF8+HDuuOMOmjRpUiH70GWamiAmybzDJqExpG+B/90EoYDVVYmISA1w8cUX06lTJ5544okK24fCSE3hbVZ4y2887FwIM+/SLb8iIlIuJk2axKuvvsrevRUz+rfCSE3S5Fy45m2wOWDDh7DgMasrEhGRauStt95ixowZJ7Rfd911+P1+mjdvXiH7VRipac65FK78l7m89FlY+Yq19YiIiPwMhZGa6LzrYdAfzOXPfw9bPrG2HhERkZ+gMFJT9b8Pev6S6Bgke5ZZXZGIiMhJKYzUVDYbXPZ3aDcCwn54/1pI/87qqkRERE6gMFKT2R1w1evQvBcU+ODdsZB1wOqqRERESlAYqelcsfCLD6DeOZC1D969CvIzra5KRKTGM2rJ8Arl8TkVRmqDuLpww1RIaATpm+H9X0Agz+qqRERqpKIZbvPyasfv2aLPeSYz+2o4+NqiTkszkLw5AlKXwUfj4dr3wFGx00KLiNQ2DoeD5ORk0tPTAYiLi8Nms1lcVfkzDIO8vDzS09NJTk7G4XCU+WcpjNQmjbvAdR/Af0bD91/AjDth9Mtg1wkyEZHy1LhxY4BoIKnJkpOTo5+3rBRGapuWfeCad+CD62Dj/yC2Dgz/m3n3jYiIlAubzUZKSgoNGzYkGAxaXU6FcblcZ3RGpIjCSG3UdiiMegmm3Q6rXjb7lFz8oNVViYjUOA6Ho1y+rGs6nZ+vrbpeDZc9bS4vnAwrX7a2HhERqbUURmqzC26Hix82lz//PXz7obX1iIhIraQwUttd9HvoNcFcnnEHbJtjbT0iIlLrKIzUdjYbDJ0MXceBEYaPboZdi62uSkREahGFETFv7R35b2g7HEIF8N9rIXWl1VWJiEgtoTAiJocLrn4LWg+EYC68dxXsX2d1VSIiUgsojEgxVwxc+19o2Rf8WebgaAc3WV2ViIjUcAojUpI7Dq77EJr2hIJMeGckHN5udVUiIlKDKYzIiTyJ5jw2jbtCXga8cyUc3Wl1VSIiUkMpjMjJxSbDjTOgQQfIToO3R0LmXqurEhGRGkhhRE4tvh7c9AnUbQO+VPMMSVaa1VWJiEgNozAiPy2xEdw8E5JbmJdq3hkJOYetrkpERGoQhRH5ed5mcPOnkNgEMrbB25crkIiISLlRGJHTU+csGD8LElPg8HcKJCIiUm4URuT01WsD4z/7USBJt7oqERGp5hRGpHSigaRJYSC5QoFERETOiMKIlF69NoWXbBRIRETkzCmMSNn8OJC8pUs2IiJSNgojUnbHB5KMbQokIiJSJgojcmaKAklS0+JAkn3I6qpERKQaURiRM1evjTkOSVEgeXM4+PZZXZWIiFQTCiNSPorusvG2gKM74I3hcHSX1VWJiEg1oDAi5aduK/jl58Vz2bw5HA5vt7oqERGp4hRGpHx5m8EtnxfP9vvWZXBwk9VViYhIFaYwIuUvsZF5yaZxV8g9DG+NgP3rrK5KRESqKIURqRjx9cxOrc3Oh4JMc7bf1BVWVyUiIlVQmcLIlClTaNWqFTExMfTo0YMlS5b85PZ+v59HHnmEli1b4vF4aNOmDW+88UaZCpZqJDYZbpwOZ/UHfxb8ZzTsXGR1VSIiUsWUOox8+OGHTJw4kUceeYT169fTv39/hg8fTmpq6infc80117BgwQJef/11tm3bxvvvv0/79u3PqHCpJjyJcN3/oM1gCObBe1fDtjlWVyUiIlWIzTAMozRv6NWrF927d+fFF1+MtnXo0IFRo0YxefLkE7afM2cO1157LTt37qRu3bplKjIrKwuv14vP5yMpKalMP0MsFvLDR7fAts/A5oBRL0K3cVZXJSIiFeh0v79LdWYkEAiwdu1ahgwZUqJ9yJAhLFu27KTvmTlzJj179uSpp56iadOmtG3blvvuu4/8/PxT7sfv95OVlVXiIdWc0wPXvA1drwUjDNN/BStesroqERGpApyl2TgjI4NwOEyjRo1KtDdq1IiDBw+e9D07d+5k6dKlxMTEMH36dDIyMrjzzjs5evToKfuNTJ48mccee6w0pUl14HCZZ0Ti6sKKKTDnAcg7AgMfBpvN6upERMQiZerAavvRF4dhGCe0FYlEIthsNt577z0uuOACLrvsMp555hneeuutU54deeihh/D5fNHH3r17y1KmVEV2Owx9Agb+wXy9+CmYfR9EItbWJSIililVGKlfvz4Oh+OEsyDp6eknnC0pkpKSQtOmTfF6vdG2Dh06YBgG+/adfP4Sj8dDUlJSiYfUIDYbXHQ/jPgHYIPVr8G02yAUsLoyERGxQKnCiNvtpkePHsybN69E+7x58+jTp89J39O3b18OHDhATk5OtG379u3Y7XaaNWtWhpKlxjj/NrjqdbC7YNNU+OAXEMi1uioREalkpb5MM2nSJF577TXeeOMNtm7dym9/+1tSU1OZMGECYF5iuemmm6LbX3fdddSrV49bbrmFLVu2sHjxYu6//35++ctfEhsbW36fRKqnzmPhug/AFQc/zId3RkHeUaurEhGRSlTqMDJu3Diee+45Hn/8cc4991wWL17M7NmzadmyJQBpaWklxhxJSEhg3rx5ZGZm0rNnT66//nquuOIKnn/++fL7FFK9nX0J3PQJxCTDvlXwxjDIVD8hEZHaotTjjFhB44zUEoe2wLtjIfsAJDSGGz6Gxl2srkpERMqoQsYZEalQjTrCbfPMGX9zDsIbw2HHV1ZXJSIiFUxhRKoWbzP45Rxo2Q8C2fDeVfDth1ZXJSIiFUhhRKqe2GS4cRp0GgORkDla65JnoOpfURQRkTJQGJGqyemBsa9D77vM1wseKxwcLWxtXSIiUu4URqTqstth6F9h2JNEB0f7300QPPW8RiIiUv0ojEjVd+EdcPWb4PDAd7Pg7SshN8PqqkREpJwojEj10Gk03DQDYrzmWCSvDYbD262uSkREyoHCiFQfLfvArfMguSUc2w2vXQI7F1pdlYiInCGFEaleGrSD27+E5r3A7zMHSVv7ttVViYjIGVAYkeonvj7cNBO6XG3e+vvpPTDvjxCJWF2ZiIiUgcKIVE+uGBjzKlz0oPn663/CRzdBIM/aukREpNQURqT6stlg4ENmKHG4Yeun8NZlkH3Q6spERKQUFEak+ut6jXnZJrYuHFgPrw6GgxutrkpERE6TwojUDC17w+0LoN45kLUPXh8KW2ZaXZWIiJwGhRGpOeq2Nmf9bX0xBHPhfzfCwifVsVVEpIpTGJGaJbYOXD8Vet1hvl44GT66Gfw51tYlIiKnpDAiNY/DCcOfhCtfALsLts6EN4bCsT1WVyYiIiehMCI1V/cbYfxnEN8QDm2CVwfC7qVWVyUiIj+iMCI1W4te8KuvIOVcyDsC74yE1a9bXZWIiBxHYURqPm8zuOVz6DzWHLH1s0kw67cQClhdmYiIoDAitYU7Dsa+DoP/BNhgzRvw9hWQlWZ1ZSIitZ7CiNQeNhv0nwS/+AA8Xti7Al65CPYss7oyEZFaTWFEap92w8x+JA07Qs4h8wzJihfBMKyuTESkVlIYkdqpXhu4bT50vsrsRzLnQZh2OwRyra5MRKTWURiR2ssdD2Nfg2FPgt0JGz+C1y6FIzusrkxEpFZRGJHazWaDC++Amz81xyNJ3wyvDIRtc6yuTESk1lAYEQFo2Qd+vRia9wK/D94fB1/+FSJhqysTEanxFEZEiiSlwM2z4IJfma8XPwXvjoGcw9bWJSJSwymMiBzP6YbLnobRr4ArDnYuhJf6aRh5EZEKpDAicjLdxsHtX0GD9pBz0Lz9d/HfIRKxujIRkRpHYUTkVBq2h9u/hG6/ACMCX/4Z3rsKcjOsrkxEpEZRGBH5Ke54GP0SjPw3OGNhxwJ4qT/sWW51ZSIiNYbCiMjpOO8G8yxJvXMg+wC8NQKWPqvLNiIi5UBhROR0NeoIv1oIXa4BIwzzHzVvAc49YnVlIiLVmsKISGl4EmDMK3DFP8Hhge/nwkt9YeciqysTEam2FEZESstmgx7j4fYFUL8tZKfBOyPNMyXhoNXViYhUOwojImXVuIt52abHeMAw+5C8MRSO7rS4MBGR6kVhRORMuOPNSzbXvAMxXti/Fl4aAN9+aHVlIiLVhsKISHnoOBImfA0t+kAgG6b/Cqb9CgqyrK5MRKTKUxgRKS/JzWH8LLj4YbDZYcOH8HJ/2LfW6spERKo0hRGR8mR3wMUPwC2fg7cFHNsNbwyBRU9DOGR1dSIiVZLNMAzD6iJ+TlZWFl6vF5/PR1JSktXliJye/EyY9VvYPM183ex8GP0y1GtjaVlSOxmGQSASIBgOEoqECBkh8/n4hxEiHAkTjJjbRIzSDepns9lw2Bw47A6cdidOmxOHzVx22B247K4Sr502Jy6HC5fdVUGfWqx2ut/fCiMiFckwYMP/YPZ94M8yZwIe+lfocYt5i7DISYQjYXJDueQEcsgJ5pz4fNxyXjCPgnABBaGC4udQAf6wn/xQPgXhAvwhPwXhAqs/1ik5bA48Do/5cHqIccTgdriJccTgcXqKlwu3iXXGEu+KJ84VR7wr3nw4zddxrjjinfEl1jvtTqs/Yq2lMCJSlWTuhRl3wO4l5utzhsCV/4LExtbWJRXOMAyyAlkcyT/CMf8xMgsyzWd/5smXCzLJDmZXSm1Ou7PE2Yrow2Y+2212bJw8NNtOEqYjRoSIESEYCRI2woQi5pmWorMwRculPeNypjwOD/GueBJcCSS5k0jyJJHkTiLRnVji9cmWE1wJ2G3q0VBWCiMiVU0kAitfhPmPQdgPsXXh8meh0yirK5MyKAoZB3MPkpGfQXpeOhn5GRzOP1zydd5hApFAmfbhsrtIdCeS4Eog3hVPojsx+lzUFueKI9YZS4wjhhhn4eO45VhHbPRsg8fhiQYOh81x0kBRGSJGJHo5KBgJ4g/78Yf85nPYHz2bc/zrQDhQ4oxPbjCX3GAueaE88zmYR26o8LlwXTBy5oMQ2m12Et2J1PHUIdmTTJ2YOtSNqUudGPN10XIdTx3zOaYOsc7YcjhKNYPCiEhVlb7VvO334Abzdddr4bKnzHFKpMoIR8Iczj9MWm4aB3IOlHhOy0njQO4B8kP5p/3zEl2J5hdYTHKJLzavx2u+LmqPScbr9pLoTsTtcFfgJ6z5guGgGUxCZjjJCeSQFcgyH/6sn132h/1l2m+MIyYaTOrE1KFeTD3qx9anQWwD6sfWp15svehyvCveslBYGRRGRKqyUAAWPWmO2mpEIKkZjJoCrS+yurJaJRgOsj9nP6nZqaRmpZZ4TstJI2T8/B1QdTx1aBDXIPrl0iDOfG4Y1zDaVj+2PjHOmEr4RFKe/GE/2YFsfH4fRwuOkunP5FjBMY4WHOVYwTGO+Y+Zz4WPo/6jhCKlu2su1hlbHFbiGlAvpl7031DRo2FcQ+rG1K2Wl4sURkSqg9SV5gBpx3abr3veCpc+Bp5ES8uqSQzD4EjBEXZk7uCHzB/Y7dsdDR1puWmEjfAp3+u0OWkU34iU+BSaJDQhJT7FfCSk0CS+CY3jGytkSJRhGOQGc6PBJLMgk6MFRzlScISM/IzoZbui17nB3NP+2U67k0ZxjWgY15BGcY3MR3zx68bxjakfW7/KddZVGBGpLvw5MO//YM0b5mtvCxj5L2h9saVlVTeGYXA4/zA7Mnew07eTHzJ/YGfmTnb4duDz+075vlhnLM0Tm9MyqWWJ5+aJzWkQ2wCH3VGJn0Jqk7xgHkfyj5BRUBxUMvIzOFJwJLpc9DD4+a9qGzbqx9Y/Iag0im9E47jGpCSk0DCuYaXeSq0wIlLd7FwIn9wNvlTzdY9bYMifdZbkJIKRILt8u/ju6HfRx7aj28gKnHz4fbvNTrOEZrRJbkMrbyvOSjqL5onNaZHUggaxDWr0NXup/oKRIEfyj3Aw9yCH8g6RnpfOodxDHMorfOQeIj0//bQuEdltdhrENoie5Wuc0Ng88xffhI71OtIgrkG51q4wIlId+bNh/qOw+jXztbe5eQtwm4GWlmWlvGAe249tZ+vRrdHg8cOxH056h4rdZqdFYgtae1vTJrkNbZLbcHby2bRMaqnLKVKjRYwIRwuOFoeTvPTo8qG8Q6TlpnEw9+BP3mH0575/ZtTZo8q1rtP9/q5aF5dEajtPIoz4hznx3id3QeYe+M8o6H4zDPkLxNTsMB6OhNnp28nGjI1sOLyBTRmb+CHzh5P264h3xdOuTjs61OtAuzrtaF+3Pa2TW+NxeCyoXMRadps92uG1U71OJ92mKLCk5aSZd4UVPQpft0hsUclVF9OZEZGqyp8DCx6DVa+Yr5OawZXPw9mDra2rHGXkZ/Bt+rdszNjIxoyNbMrYRF4o74TtGsQ2iIaODvU60L5Oe5omNq2WdxeI1Ca6TCNSU+xaAjPvKr7jptt15pDycXUtLau0DMNgX84+1h5ay7pD61iXvo49WXtO2C7WGUunep3o0qALXet3pUv9LjSKb2RBxSJyphRGRGqSQC4seBxWvgwYEFcfhj0JXa6qsnPcRIwIP2T+UBw+Dq0jPT+9xDY2bJxd5+xo6OjSoAttvG10B4tIDaEwIlIT7V0FM++Bw1vN12dfCpc/A8nWXes93t7svaxIW8GKAytYdXAVmf7MEuuddied63Wme6Pu9GjUg3MbnkuSW/9Pi9RUCiMiNVUoAF8/B4ufhnAAXPEw6A/Q69dQyWcUjhUcY+XBlaw4sIIVaSvYn7O/xPpYZyznNjg3Gj461++seTtEahGFEZGa7vB2+PReSF1mvm7S3ezg2rhLhe0yHAmzMWMji/ctZun+pWw9urXEeqfNSdcGXbmwyYX0TulNp/qdKnWAJRGpWhRGRGqDSATWvQ3z/gR+H9id0OduuOgBcJXPGYjMgkyWHljKkn1L+PrA1yeMZnpOnXO4MOVCLky5kJ6NehLniiuX/YpI9acwIlKbZB+E2ffD1pnm6zqt4LK/wzmXlPpHGYbB9mPbWbRvEUv2LWFDxgYiRiS6PtGdSL8m/ejfrD+9m/Smfmz98voUIlLDKIyI1EbffQaf3QfZB8zXHa6EYZPB2+wn3xYxImw4vIEFqQuYv2c++3L2lVh/Tp1zGNB0AAOaDaBrg65VbjIuEamaFEZEait/Nix8Ela8CEbY7OB68YNw4R3gKO6/EYwEWXNwDQtSF/Bl6pcczj8cXedxeOid0pv+zfozoNkAGsc3tuKTiEg1pzAiUtsd2gyzJsHeFebrhh0JDn+K5S6DL3Z/wcK9C0tMLJfgSmBAswFc0vIS+jbpq74fInLGFEZEBCIRwt+8y7pFjzPbGWJefBw+R/Htv3Vj6jKw+UAGtxhMr5ReuB1uC4sVkZrmdL+/yzSxw5QpU2jVqhUxMTH06NGDJUuWnNb7vv76a5xOJ+eee25Zdisip8kwDDZlbOKptX9nyA9v88u6sXyclIjP4aBeKMx1uX7ePOtqvhw7n0f7PEr/Zv0VRETEMqXuhfbhhx8yceJEpkyZQt++fXn55ZcZPnw4W7ZsoUWLU48C6fP5uOmmmxg8eDCHDh06o6JF5OT2Ze/j0x2fMmvnLFKzU6Ptia5ELml5CcMTWnP+8ldxpm+C9H/Ati9h+NPQ/HwLqxaR2q7Ul2l69epF9+7defHFF6NtHTp0YNSoUUyePPmU77v22ms555xzcDgczJgxg2+++ea096nLNCKnlhfMY37qfGb8MIPVB1dH22McMVzc/GKGtxpOv6b9is98hEOw+jX48i8QyDbbuv0CLnkUEtVRVUTKz+l+f5fqzEggEGDt2rU8+OCDJdqHDBnCsmXLTvm+N998kx07dvDuu+/yl7/85Wf34/f78fv90ddZWVk/sbVI7WMYBuvS1zHjhxnM3T2XvFAeYE481yulF1e2uZLBLQafvBOqwwkXToBOo83J9755F759H7Z+CgPuN++6cXoq+ROJSG1WqjCSkZFBOBymUaOS03k3atSIgwcPnvQ933//PQ8++CBLlizB6Ty93U2ePJnHHnusNKWJ1AoZ+RlM/34603+Yzt7svdH25onNGdlmJFe2uZKUhJTT+2GJjWDUv6HnL+Hz38P+NTD/T7DuHXNG4LZDKuhTiIiUVKaRi2w/mrLcMIwT2gDC4TDXXXcdjz32GG3btj3tn//QQw8xadKk6OusrCyaN29ellJFqj3DMFh1cBX/2/Y/vkz9kpARAiDOGcfQs4Yy8uyRdG/Y/aT/D56WZj3g1nmw4QNzWPmjO+C/V8M5Q2DoZKh/djl+GhGRE5UqjNSvXx+Hw3HCWZD09PQTzpYAZGdns2bNGtavX89dd90FQCQSwTAMnE4nc+fOZdCgQSe8z+Px4PHoNLHUbj6/j09++ISPtn/E7qzd0fauDbpyddurGdJySPmNBWK3w7nXQfvLzdmAV7wI38+FHV+Zl20G3A8x6q8lIhWjVGHE7XbTo0cP5s2bx+jRo6Pt8+bNY+TIkSdsn5SUxMaNG0u0TZkyhS+//JKPP/6YVq1albFskZprw+ENfLjtQ77Y/QX+sNl3Ks4Zx+WtL+fqdlfTvm77itt5TBIM+TN0vxm+eMgMJMueN/uUDHwYzrvJ7HMiIlKOSv1bZdKkSdx444307NmT3r1788orr5CamsqECRMA8xLL/v37eeedd7Db7XTu3LnE+xs2bEhMTMwJ7SK1WTASZMGeBfxn63/YcHhDtL1dnXZc0+4aRrQeQbwrvvIKqn82XP8RbP8C5jxkXrqZ9VtY+QoM+UuZJuATETmVUoeRcePGceTIER5//HHS0tLo3Lkzs2fPpmXLlgCkpaWRmpr6Mz9FRMC8FPPx9o95/7v3OZRnjr/jsrsY3mo417S7hq71u5a9L0h5aDsUWg+ENW/Aoifh8FZ4byy0GWSGkkadrKtNRGoMDQcvYoGdvp28t+U9Zu6YSUG4ADCHZr+23bVc3e5q6sfWt7jCk8g/Bov/DitfhkgQbHY470YY+Ih5Z46IyI9obhqRKmh9+npe3/g6i/Ytira1q9OOGzrewGWtLqseQ7If3QnzH4Utn5iv3QnQdyL0/g24NbmeiBRTGBGpIgzDYMn+Jby+8XXWpa8DzMHJLm5+MTd2vJGejXpaeymmrFJXwBcPw/615uukpjDo/6DrNWB3/PR7RaRWUBgRsVgoEmLO7jm8sekNvj/2PWD2B7myzZWM7zSes7xnWVtgeYhEYPM080yJr3AQtoad4JI/meOUVMeQJVILnWq8sDOlMCJiEX/Yz7Tvp/H25rfZn7MfMG/NHdduHDd0vIGGcQ0trrACBAtg5Yuw5Fnw+8y2Fn3g0seg+QXW1iYip+TfuQvfjBn4Pv2Ulv/5D+5mTcv15yuMiFQyf9jP1O1TeX3j66TnpwNmp9QbOtzANe2uwevxWlxhJcg7CkufhVWvQMjsmEu7ETD4j9CwAsdHEZHTFvb5yJo9m8wZMyj4tngogQYTJ1J/wq/LdV8KIyKV5GQhpHF8Y27pdAujzxlNrDPW4got4NsPCyfDN++BETHvvOl2HQx8CLzNrK5OpNYxQiFyli7FN+MTchYswAgGzRUOBwn9+uEdPZqEQQOxu8u3E73CiEgFK7oc89rG10jPM0NIo7hG3N7ldkafM7p63BlT0Q5vM2cG/m6W+drhgQtuh/6/g7i61tYmUgsUbNsevQwTzsiItnvatsU7ejTey0fgbNCgwvavMCJSQYKRINO2T+OVja8ohJyuvavNTq57lpqvPUnQ+y5z3hvNeSNSrkJHj5I1axaZM2bg37I12u6oW5eky0eQPGoUng4dKuUuPoURkXIWMSJ8sfsL/rX+X+zNNu8caRjXkNu73M6Yc8YohPwcw4Af5sP8x+BQ4ZxVsXWgzz1wwa/Ak2BtfSLVmBEIkL1okXkZZtEiCJmze+NykXjxxXhHjyKhf39sLlel1qUwIlKOlh1YxnNrn2PrUfOvjLoxdflV119xVdur8Dg0w3SpRCKwZTosfBIytpttcfWh32/h/FvBVQv72IiUgWEYFGzegm/GDLJmzSKcmRldF9O5M95Ro0gacRnOOnUsq1FhRKQcbM7YzLPrnmVl2koA4l3xjO80nps63kScS6ONnpFIGDZ+ZIaSY7vMtoTGZn+SHjeDUyFP5GRChw/jm/kpvhnT8X//Q7Td2aABSVdeYV6GOeccCysspjAicgZSs1L557p/MnfPXMAcrGxcu3Hc3vV26sao42W5Cgfh2/dh0VPFA6clNYMB98F5N4Cjck8ri1RFRiBA9sKF+KZNJ2fJEgiHAbC53SRecgne0aOI790bm7PU899WKIURkTLICmTxyrev8N537xGKhLBh4/LWl/Ob835D04TyHQxIfiQUgPXvwOJ/QPYBsy25JVz0AHQdB46q9UtWpDIUbN1K5rTpZH36aYnLMLHnnot39GiShg/DUYW/FxVGREohFAkx7ftpvLD+BY75jwHQt0lfftvjt7Sr287i6mqZYAGsfROWPAO55t1K1DkL+k2Cbr8ApzoKS80WOnaMrE9nkTl9Ov6txXfDOBs0wDtqJN7Ro/G0bm1hhadPYUTkNC0/sJynVj/FD5nmtddW3lbc3/N++jfrb3FltVwgF1a/Bl8/D3mF4yN4m0Pfe+G8G8EVY219IuXICIXIWbIE37TpZC9cCIWDktlcLhIGDyZ5zGji+/Spcpdhfo7CiMjP2JO1h7+v/jsL9y0EwOvxcme3O7m63dW47OqnUGUEcmHtW/D1PyHnkNmWmGKGku43g1sdiaX68u/YQea0afhmziR8uHhQsphOnczLMBbfDXOmFEZETiE/lM+rG17lzc1vEoqEcNqcXNv+WiZ0m1A75o+proL5sO4/8PVzkGVOQEh8A+hzN/S8VeOUSLURzsoy54aZNp2CDcVzwzjq1sV7xRV4x4wmpl3NuDysMCLyI4Zh8NXer/jbqr9xINfsINm3aV9+f/7vae2tHtdfBQj54Zv/wtJnIDPVbIutC73vNAdPi1GglKrHCIfJXbHCvAwzfz6G32+ucDpJuOgikkePImHAAGzlPDeM1RRGRI6zN3svT656ksX7FgOQEp/CA+c/wKAWgyplSGSpAOEgbPgfLPkHHN1htnm8cMFt0GsCJDS0tj4RILBnD5nTp+P7ZCahtLRou+ecc/COGYP3istx1q9vYYUVS2FEBHMyuzc2vcHrG1/HH/bjtDsZ32k8t3e5XYOW1RThEGyeDoufhoxtZpvDY45R0uduqNvK2vqk1gnn5JL9xRdkTp9G/pq10Xa714t3xAi8o0cT07lTrfhDSGFEar1Vaat4bPljpGabp/J7pfTi4V4P65JMTRWJwLbZsPRZ2L/GbLPZodNo6DsRUrpaWp7UbEYkQt6aNfimTSdr7lyMvDxzhd1OfN++JI8ZTcKgQdg9tWtkYYURqbV8fh/PrH2Gad9PA6BhbEPuP/9+hp41tFb8JVLrGQbs+doMJT/ML25vM9ic/+asfqB/B1JOgvv3kzljBr4ZnxDcuzfa7j7rLPMyzMgrcTVqZGGF1lIYkVrHMAzm7ZnHEyuf4EjBEQDGtRvHxO4TSXDrTotaKW2DeUvw5mlgRMy2pj3MUNJuBNjt1tYn1VIkP5/s+fPJnDaNvBUrzQAM2OPjSbpsON7RY4g971z98YPCiNQyh3IP8deVf+WrvV8B5sBlj/Z+lO6NultcmVQJR3fB8hdg/bsQKjDb6p0DvX8D3a7VTMHyswzDoODbb8mcOo2szz8nkpMTXRd34YUkjxlN4qWXYo/Vv6XjKYxIrRAxIny8/WOeXfssOcEcnDYnt3a5ldu73o7HUbuuzcppyDkMK1+C1a9Cgc9si6tnjlNy/m2QWHtPp8vJhTIy8H0yk8xp0wjs2BFtdzVtinf0aLyjRuFupnmrTkVhRGq8tJw0/m/Z/7EybSUAXet35U99/kTbOm0trkyqPH+2OYDaihfBVzhWicMNXa4xz5Y06mhtfWKpoqHZM6dOJWfhIgiFALDFxpI0ZAjeMWOIO78nNl3m+1kKI1JjGYbBjB9m8NTqp8gJ5hDjiOGe7vdwXfvrcNgdVpcn1Uk4BN/NguX/hn2ritvbDDJDSZvB6uxai/h37cI3bTq+GTMIHT4cbY/p1pXksWNJuuwyHAnqf1YaCiNSIx3OO8xjyx9j0b5FAHRr0I2/9vsrLZNaWlyZVHt7V5mhZOvM4s6uDdqboaTLNZqYr4aK5OWR9cVcMqd+XGJMEEedOnhHjiR57Bg855xjYYXVm8KI1Dhzds3hLyv/gs/vw2V3cdd5d3Fzx5t1NkTK17E9sPJlWPcOBLLNtrj6Zp+SnrdAYmNr65MzVqIz6uzZRHJzzRV2O/H9+5E8diyJF19c44Zmt4LCiNQYmQWZ/HnFn5m7Zy4AHep24K/9/so5dfTXilSgAp/Zr2TlS+ArHD/C7oKOI6HXr6HZ+bqEU82Ejhwp7Iw6lcAPx3VGbdGC5DFj8I4eVavHBKkICiNSI6xIW8HDSx7mcP5hnDYnv+r6K27rehsuu8vq0qS2CIdg6yfm2ZK9K4vbU7rBBb+GzmN1CacKM0IhcpYuxTd1GtlffVXcGTUmhqShQ/GOHUPc+edrTJAKojAi1VowHORf3/yLtza9hYFBK28rJvefTKd6nawuTWqzA9/Aqldh40cQLpx1NbYu9LjZvD04ubml5UmxwJ49ZE6dZnZGTU+Ptsd07UrymDEkjbgMR2KihRXWDgojUm3t9u3mgSUPsOXIFgCubns1959/P7FODSYkVUTuEVj3Nqx+HbL2mW02O7QfYZ4t0ZDzlojk55P1xRf4pk4jb/XqaLujTh28V16Jd+wYYtrq1v/KpDAi1U7RLbuTV00mP5SP1+Plsd6PMbjlYKtLEzm5cAi2f25ewtm9pLi9YUezw2vXa8Cjv74rkmEYFGzcSObHU8n67LOSnVH79SV57FUkDlRnVKsojEi14vP7+POKP/PF7i8AuKDxBTzR7wkaxaszmVQTh7aYI7t++wEEC2dsdSdAl6ug5y/NPiZSbkJHj+KbORPf1Kn4v/8h2u5q3pzksWPwjhqFq7HufLKawohUG5syNvG7hb/jQO4BnDYnvznvN9zS6RbdsivVU34mfPNfWPMGHPm+uL1JdzOUdB4D7njLyqvOjHCY3KVLySzqjBoMAmDzeEgcOoTksVdpZNQqRmFEqjzDMHj/u/d5es3ThCIhmiU046kBT9GlQRerSxM5c4YBu5fC2jdhy0yImF+ceJLMyfl63KJh509TIDWVzGnT8E2fQejQoWh7TJcuJI8dQ9KIEeqMWkUpjEiVlhPI4U/L/hQdO+SSFpfweN/HSXTrF4rUQDmH4Zv3YO1bcGxXcXvzC82B1DqO0u3BPxLJzyd77lwyp04jb1XxUP2O5GSSrryC5LFXEdNOnVGrOoURqbK2Hd3G7xb9jj1Ze3DanPyu5++4vsP1us9far5IBHYthDVvwnefgRE222PrQLfroPuN0LCDpSVayTAMCjZtKu6MmpNjrrDZiO/Xj+SxY0gYNAi7OqNWGwojUuUYhsG076cxedVk/GE/jeMb8/eL/k63BurYJ7VQ9kFY/x9Y+3bxCK8ATXvAeTeag6nF1I7fd6Fjx8iaOZPMqdPwb98ebXc1a4Z3zGiSR4/GlZJiYYVSVgojUqX4w37+suIvzPhhBgD9m/bniX5PkByTbGldIpaLhOGHBea4JdvnQMQcIRRXnHn55rwboGWfGjduiREOk7tsGZkfTyX7yy9LdkYdMoTksWOIu+ACdUat5hRGpMo4mHuQiV9NZPORzdhtdu4+725+2fmX2G36JSNSQk66eWvw+v9ARvEZAuq2MUNJt19AUvU+QxDYu7e4M+rBg9H2mE6dSL5qrNkZVb/nawyFEakSVh9czX2L7uNowVG8Hi9PD3ia3k16W12WSNVmGLBvtTlz8ObpECjqO+GAcy41L+O0HQqO6jFHU6SggOx588j8eCp5K4vn93F4vSRdeSXJY8cQ0769hRVKRVEYEUsZhsF/v/svT69+mrARpn3d9jx78bM0S2xmdWki1Ys/B7bMgPXvQury4vb4BtDlavM24cZdq9xlHLMz6mYyp00la9ZnRLKzzRU2G/F9+pB81VgSBg9WZ9QaTmFELFMQKuDPK/7MzB0zAbis1WU82udRzS0jcqYyvjcv4XzzPuQWT/5Ggw5mKOl6DSQ1sa4+CjujfjqLzKlT8W/bFm13NW1a3Bm1ibU1SuVRGBFLHMw9yL1f3cuWI1tw2BxM6jGJGzveqNt2RcpTOAg7voRv34fvZhfPIIwNWl9s9i3pcHmljfRqdkZdTua0qeTMX4BR1BnV7S7ujNqrlzqj1kIKI1LpNh7eyD1f3UNGfgZ1PHV4+qKn6ZXSy+qyRGq2/EzzMs63H5S8jOOKh45XmmdMzuoPFTC9QmDfPnzTppM5fTqhtLRoe0zHjnivGot3xAgcXm+571eqD4URqVRzds3hD1//AX/Yz9nJZ/PC4BdomtDU6rJEapeju2DD/8wzJseP9JrUtLh/yRkOqhbx+8meN5/MqR+Tt3xFtN3u9eK94gqzM2qH2jtwm5SkMCKVwjAMXvr2JaZ8OwWAAc0G8NSAp4h3aSIwEcsYBuxdZYaSzdOgwFe8rmEncybhzmOhTsvT/pEFW7eS+fFUfLNmEfEV/jybjfjevfGOHUPiJZdg93jK+YNIdacwIhWuIFTAH7/+I5/v/hyAmzrexKQekzTbrkhVEiwwB1P79gP4YX7xhH0AzS4wg0mn0ZDQ8IS3hn0+fLMKO6Nu2RptdzZJIXn0GLyjR+NupjOgcmoKI1KhMvIzuPfLe9mQsQGnzckfLvwDY9uOtbosEfkpeUdh60zY+LE5ozCFv/5tdmh1EXS5CqPdCPK+/Y7MqdPInjsXIxAwN3G5SLhkMMljryK+94XYHPqjQ36ewohUmB+O/cAdC+7gYO5BktxJPHvxs1yQcoHVZYlIaWSlmQOqbfoY9q8lmGsnc1ccvt3xBHOKg4anXTuSx44l6YrLcdapY2HBUh2d7ve3sxJrkhpg9cHV3PvlvWQHszkr6SxeGPwCLZNO/7qziFQRSSkYPW4j29eGzK//Q+7KtdETJXZXhKSW+SS3NYjpUx9b57qQoHGCpOIojMhp+3zX5zyy9BGCkSDnNTyP5wc+r4nuRKqhgu3b8U2dim/mp4SPHYu2x11wAcmXXEBi/TTs2z4BXyps+sh8uBOh3TDoOBLOvgRcCidSfnSZRn6WYRi8tfktnln7DACXtryUJ/o9QYwzxuLKROR0hXNyyPpsNplTp1KwYUO03dmwId7Ro0keMxp3y+POchbdkbNlBmz5BLL2F69zJ5hz43QcCWdfCu64yvsgUq2oz4iUi3AkzN9W/433v3sfgBs63MB9Pe/THTMi1YBhGOSvWUPmx1PJ+uILjIICc4XTSeLAgXjHjiGhXz9szp85SR6JwP61xcHEt7d4nSse2g4xg8k5Qypt1FepHhRG5IwVhAp4YPEDfLn3SwDu73k/N3W6yeKqROTnBNPT8c34BN/UqQT27Im2u9u0IXnsWLwjr8RZr17ZfrhhwP51sGW6GUwyU4vXOWPNWYU7jTKDiSfxzD6IVHsKI3JGfH4fdy24i28Of4PL7uKJ/k8w7KxhVpclIqdgBIPkLFpE5sdTyVmyBMJhAOxxcSReNpzksWOJPffc8p0nyjDgwPriMybHdhevc7jNeXLaXw7thp90HBOp+RRGpMwO5x3m1/N/zffHvifRncjzA5+nZ+OeVpclIifh37mTzKlT8X0yk3BGRrQ9tnt385bcYUOxx1fCpRPDgLRvzVCy5RM4uuO4lTZo3gvajzAf9dpUfD1SJSiMSJnszd7Lr+b+in05+6gfW5+XLnmJdnXbWV2WiBwnkptL1pw5ZE6dRv66ddF2R716eEeNJHnsWDytW1tXoGHA4W3w3Sz47jM4sK7k+oYdi4NJyrmgWb1rLIURKbXvj33Pr+f9msP5h2mW0IxXLn2F5knNrS5LRCjsjPrNN2ROnUr27M+J5OWZKxwOEgYMIPmqsSQMGIDN5bK20JPx7YNtn5vhZPdSiISK1yU1g/aXmZdzWvYBRxWsX8pMYURK5dvD33Ln/DvJCmRxdvLZvHLpKzSIa2B1WSK1XujIEXwzPiFz2jQCO4ovfbhbtsQ7dizekSNxNapG/THyj8H382Drp/DDAgjmFq+LSTY7wLYdBmcPhliN+FrdKYzIaVt2YBkTv5pIfiifbg268e/B/8br8VpdlkitZYRC5Cxdim/qVLK/Wggh80yCLSaGpKFDSb5qLLE9e5ZvZ1QrBPNh5yL47lPzzEnekeJ1Nge0uNAcz6TtMKjfVpdzqiGFETkt8/bM4/eLf08oEqJPkz48e/GzxLk0gJGIFQJ79pA5bTq+6dMJpadH22O6djU7o464DEdCgoUVVqBI2Bxkbfsc2P4FHN5acn2ds8xQ0nYotOwLTo8lZUrpVGgYmTJlCk8//TRpaWl06tSJ5557jv79+59022nTpvHiiy/yzTff4Pf76dSpE48++ihDhw4t9w8jpfPZzs94ZOkjhI0wQ88ayuR+k3Hpeq1IpYrk55M9dy6ZH08lb/XqaLsjORnvyCvxjh1LTNu2FlZokWO7YftcM5zsXgLhQPE6dwK0GWiGk3OG6LbhKqzCwsiHH37IjTfeyJQpU+jbty8vv/wyr732Glu2bKFFixYnbD9x4kSaNGnCwIEDSU5O5s033+Tvf/87K1eu5LzzzivXDyOn75MfPuH/vv4/DAxGthnJY30e06iqIpXEMAwKvv2WzGnTyZo9m0hOjrnCZiO+Xz+Sx44lcdBAbG63tYVWFf4c2LnQDCbfz4WcQyXXN+1hDkt/9iXQtDvod1mVUWFhpFevXnTv3p0XX3wx2tahQwdGjRrF5MmTT+tndOrUiXHjxvHHP/7xtLZXGClfH2//mMeXP46BwdVtr+YPF/4Bu81udVkiNV7o8GF8M2eSOW16ic6orqZN8Y4dQ/Lo0bhSUiyssBqIRCDtG/NSzvY55vLxYpKhzSAzmJw9GBIbW1CkFDnd7+9SzdobCARYu3YtDz74YIn2IUOGsGzZstP6GZFIhOzsbOrWrXvKbfx+P36/P/o6KyurNGXKT3j/u/d5YuUTAFzX/joevODB6t8JTqQKMwIBshctwjdtOjmLF0dHRjU7ow7BO3oMcRecj82uPwhOi91unv1o2h0GPgRZaebZkh0LYMdCKMiEzdPMB0CjLmYoOfsSc+A1p842VUWlCiMZGRmEw2EaNWpUor1Ro0YcPHjwtH7GP/7xD3Jzc7nmmmtOuc3kyZN57LHHSlOanIa3N7/N39f8HYDxncYzqcckBRGRClKwbTu+adPwffop4aNHo+2x556Ld8xokoYPx5GouVvOWFIK9LjZfIRDsH8N/DDffBxYD4c2mo+vnzP7mrS6CM4uPHNS5yyrq5dCpQojRX78BWYYxml9qb3//vs8+uijfPLJJzRseOoORw899BCTJk2Kvs7KyqJ5cw2+dSZe2/ga/1z3TwBu73I7d593t4KISDkL+3xkzZ5N5tRpFGzaFG13NKhP8siReEePxtNGQ6FXGIfTvB24xYUw6A+Qcxh2flUYThZAXgZs+8x8ANQ7G9oMNufQOasvxGhIA6uUKozUr18fh8NxwlmQ9PT0E86W/NiHH37IrbfeykcffcQll1zyk9t6PB48Ht22VV5e3fAqz69/HoA7z72TCV0nKIiIlBMjHCZ3xQp8U6eRPX8+RqDwrg+nk8SBA/GOGU1C//7YnGX620/OREID6HqN+YhE4OCG4mCydyUc+cF8rHrZHNekaQ8zmLS+GJqdr0s6lahMHVh79OjBlClTom0dO3Zk5MiRp+zA+v777/PLX/6S999/n1GjRpW6SHVgLbs3N73JM2ufAeDe7vdyW5fbLK5IpGYIpKaSOX06vhmfEEpLi7Z72rYleewYkq64AudP9I0TixX4zDt0ih5Hd5Zc74o3h6cvCieNOmnQtTKokA6sAJMmTeLGG2+kZ8+e9O7dm1deeYXU1FQmTJgAmJdY9u/fzzvvvAOYQeSmm27in//8JxdeeGH0rEpsbCxer06JVaT/bPlPNIjcde5dCiIiZyiSl0fW3Ln4pk4rMSaIPSkJ7+Uj8I4ZS0ynjjrzWB3EeKHjSPMBkJlqjgZbFE7yMuCHeeYDIL6B2d+kKJwkq+tAeSrzoGdPPfUUaWlpdO7cmWeffZYBAwYAMH78eHbv3s3ChQsBuPjii1m0aNEJP+Pmm2/mrbfeOq396cxI6R1/18yEbhP4zbm/sbgikerJMAzy139D5rSpZH8+h0hu4VwqNhvxffqQPHYMCYMHY9el5ZojEoH0LcXBZM/XEMwruU3dNtD6IjirH7TsB4k/3VWhttJw8LXYR9s/4vHljwNwa+dbubf7vfpLTaSUgofS8c38BN+06QR27Yq2u1q0IHnMaHOCOo0JUjuEArBvdXE42b8WjHDJbeq3NYPJWf3NZ40KCyiM1FrTv5/OH5eZg8nd3PFmftfzdwoiIqfJCATI/mohvmnTyFmyxPwLGbDFxpoT1I0dUzMmqJMzU+CD3V/D7qXmUPUHNwI/+iqt364wnPSr1eFEYaQW+nTHpzyy9BEMDK7vcD0PnP+AfmmK/AzDMPBv3UrmjBlkzfyUcGZmdF1s9+4kjx1D4tBhOBLirStSqra8o5C6/LhwsgmFE5PCSC0zf898frfod0SMCOPajeORXo8oiIj8hNDhw/g+nYVvxgz827dH250NG+IdORLvmNF4WrWysEKptk43nLTsDS16m+OiJLeskXfrKIzUIssPLOc3C35DMBJk9NmjebTPo5prRuQkIn4/OV99hW/6DHKWLi0emt3tJmHwIJJHjSK+b1+NCSLlK+8o7FlWGE6WmiPC/lhiEzOUtOxjPjfsWCMm/FMYqSW+Pfwtt8+9nfxQPpe2vJSnBzyt2XdFjmMYBgUbNpiXYWZ/TsTni66L7dYN7+hR5tDsGmpAKkveUUhdAanLzOcD6yESKrmNxwvNLyg+e9KkO7hirKn3DCiM1ALbj21n/JzxZAey6dOkD/8a9C/cDo0YKAIQPHgQ38xP8c2YQWBn8YBWzsaNzcswI0fiaa3LMFIFBPLMO3RSl5uPvasgkFNyG4fbDCRFZ0+aXwCxdayptxQURmq4vVl7uWnOTWTkZ9CtQTdeufQV4lxxVpclYqlIfj7Z8xfgmz6d3OXLofDXmy0mhsQhl5I8ahRxvXphc+jsoVRh4RAc2lR89mTPcshNP3G7+m2h2QXQ/HzzuUG7KndpR2GkBkvPS+emz29if85+2tZpyxtD38Dr0SlmqZ0MwyB/3Toyp08vOSgZENezJ97Ro0gcOhRHQoKFVYqcAcMwh6s/Ppwc3XHidp4kaNq9MKBcAM16Wn72RGGkhsosyGT8nPHs8O2gRWIL3h7+NvVj61tdlkilC+zbj++TGfg+mUkwNTXa7mrWzLwMM2okbs32LTVV7hFzILZ9q8zLOvvXQTD3xO1OOHvSHuyVd4ODwkgNlBfM47a5t7ExYyMN4xryzvB3aJrQ1OqyRCpNJDeXrC/m4psxg7xVq6Lt9rg4EocNI3n0KGJ79MBWib9sRaqEcMgcwn7fKti72gwqP3f2pFlPc6bi+Ir7g1ZhpIYJRULc+9W9LN63GK/Hy9vD3qZNchuryxKpcEY4TN7Klfg+mUnW3LkY+fnmCpuN+N4X4h01isRLLsEepz5TIiWc7tmTOmeZoaTnrXBW33ItocJm7ZXKZxgGf1nxFxbvW4zH4eGFQS8oiEiNV7BtG76ZM8n6dBah9OLOe+6zzsI7ahTekVdqbhiRnxJfD9oNMx9w3NmT1bBvDexfAxnb4dhu89F+hGWlKoxUAy99+xJTv5+K3WbnqQFPcW7Dc60uSaRCBA+lkzVrFr6ZM/Fv2xZtt3u9JA0fRvKoUcR066bRhUXKwuGElK7m4/xbzbb8THOck/1roEUfy0pTGKnipm6fypRvpwDwSK9HGNRikMUViZSvSG4uWfPmkTVzJrnLVxTfjutykXDxxXhHXkn8gAHY3RpDR6TcxSZDm4Hmw0IKI1XY4n2L+fOKPwNwe5fbuabdNRZXJFI+jFCI3OUr8M2cSfb8+cX9QIDYHj3wXnEFScOG4khOtq5IEak0CiNV1MbDG7lv0X2EjTBXtrmSu8+72+qSRM5I0ey4vk9m4pv9GeHDGdF17pYtSRp5Jd4rrtDtuCK1kMJIFZSalcpvFvyG/FA+fZv05dE+j+oauVRbwbQ0fJ/OIuvTmfi//yHa7qhTh6TLLsN75RXEdO2qf+MitZjCSBWTWZDJHfPv4Jj/GB3qduCZi5/BZXdZXZZIqYRzcsj+Yi6+mTPN8UCK+oG43SQMGoT3yitJ6N8Pm0v/tkVEYaRKCYaDTFw4kdTsVJrEN2HKJVM034xUG5FAgNwlS/DNmkXOl19h+P3RdXHnn4935JXmsOyJiRZWKSJVkcJIFWEYBo8uf5S1h9YS74rnhcEvaJh3qfKMcJi81avJ+uwzsr6YSyQrK7rO3bo13iuvxHvF5biaaqRgETk1hZEq4rWNrzFzx0wcNgf/uOgfnFPnHKtLEjkpwzAo2LSZrFmzyJo9m9Dhw9F1zoYNSRoxgqQRI4jp1FH9QETktCiMVAFf7P6C59c/D8BDFzxE36blOxyvSHnw79xlBpDPPiOwZ0+03e71kjRkCEmXX05czx7YHFVrCnMRqfoURiy24fAGHln6CAA3dLiBce3HWVyRSLHgwYNkzf6crFmzKNiyJdpui4khcdAgki6/nIR+fbFpQDIROQMKIxY6kHOAe768B3/Yz4BmA7iv531WlyRCODOTrC/mkvXZZ+StXh29Ewank/i+ffBefjmJgwZhj4+3tlARqTEURiySG8zlri/v4kjBEdrVacdTA57CYdfpbbFGJC+P7K++ImvWZ+QsXQrBYHRdbM8eZgAZOhRnnToWVikiNZXCiAUiRoRHlj7C98e+p35sfV4Y/ALxLv2VKZUrUlBAzqLFZH3+OTkLF2IUFETXedq3x3v5CJIuuwxXkyYWVikitYHCiAVe+vYlFqQuwGV38dzA52gc39jqkqSWiPj95C5dStbsz8n+6iuMvLzoOlfz5iRdPgLviBF4zj7bwipFpLZRGKlk8/fM58VvXwTgj73/SLcG3SyuSGo6IxAg5+uvyZ4zh+wFXxLJyYmuczVpQuLwYSQNv0y34oqIZRRGKtH2Y9t5eOnDgHnnzKizR1lbkNRYRjBI7ooVZH0+h+z580sMRuZs1IikYcNIumy45oQRkSqhVoeRP8zYyNzNh7DZwG6zYbfZjlvmR6/NZdtx6+w2cNhtuBz2wocNp8OO22HH6bBF21wOO2FyWZD1MPmRfJp4uhCXM4pXFu/A7bAT43IUPux4nA48rsK2Esvms8dpx+mwW33opAoyQiHyVq0i6/PPyZ47j7DPF13naFCfpKFmAIk991xsdv0bEpGqo1aHEV9+iPRs/89veMbCxLZ4A2d8OpFAXbZtH8W28A8//7ZTcNpt0WAS4zIDS7zbSazbQbzbQZzHaT67ncS5HcR7Cp/dTuI8DuIK15342qGgU80YoRB5a9aQNWeOGUCOHo2uc9StS+LQISQNH05cDw1GJiJVl80wigYRqLqysrLwer34fD6SkpLK7efuO5aHLz+IYZhDKUQMo/BhDnl9sueibQwgEjEIRQyC4QihsPkcDBuEIhECoYi5LhRhybHX2Jo7G6cthosT/0wcTaPbBkIR/KEwBcEIBcEwBaEw/mCEguPa/CHz51UGt9NOgsdJgsdJYkzRs4vEmOLXCTGFbT+xjUJNxTECAXJXriR77lyy5y8gfOxYdJ0jOZnESy8l6bLhxJ1/PjZnrf57Q0Qsdrrf37X6N1WzOnE0q+BhEz754RO27psNwN8vfpLBLQaX6edEIgb+UHE4KQouRYElPxAmNxAiLxAmzx8iNxAmL/r6uHWFz7n+otfmcihiZtJAKMLRUICjuYEz+tyxLkdhaHGSWBhgkmJcJMW48Ma58Ma6SIpxkhRbuFz4bLa7cDsVZo4XKSgg9+uvzQDy5VdEsrOj6xxeLwmXDCZp2HDiL+yFzeWysFIRkdKr1WGkon139Dv+vOLPANzR7Y4yBxEAu91GrNtBrLtiTrUHQhHyAmaIyfWHyC4IkV0QJKdwOafwdfbxr/3BwufitvxgGID8YJj8YJjDZbwMFutyFIeTWGeJwJIUc1xwOT7EFG4X63LUiE6ZkdxcchYvJmvuXHIWLS5xG66jfn0SLxlM0tChOgMiItWefoNVEJ/fx8SvJuIP++nftD8Tuk2wuqSf5HbacTvdJMed2c8JhiPHhZmSgSarIEhWfhBffpCs/BC+wmVffpCsAvM5uyAEFIeZg1kFP7PHE7kcNryxbpLjXNSJc5VYTo4zl5ML25IL2+rEVY0QE87OJuerr8iaO5fcJUsx/MVhzpmSQuKll5A0ZAix552nPiAiUmMojFSAiBHh4aUPsz9nP00TmjK5/2Tsttpx2cHlsBd+4Zdt4rRwxCCn4ORBJfq6xLpQidfhiEEwbJCR4ycjp3RnZdwOO96i0PKjsFIUYOrEmZeZkmPd1Ik3n8/0bFXo6FFyvvzSDCDLV5QYit3VvDlJQ4eQOGQIMV26WB6WREQqgsJIBXhlwyss3rcYj8PDsxc/i9fjtbqkasNht5l9SuJK3+/BMAzyAmF8+UEy84Jk5gfM5xLLAY7lBfEVth0rbAuGDQLhCIez/aW+tORx2k8421Inzl0cWn4UaurEuYnPSMP/1Vdkf/kl+evXQ6S4g7K7TRsSh1xK0pAheNq3VwARkRpPYaScfb3/a6Z8MwWAP1z4BzrU62BxRbWHzWYj3uMk3uOkSXLsab+vKMRk5gc5lhuIhpljeebysdwAmUUBJ69o2Qw3ocKOxYey/BzKOnWIsRkRzsncR++0TfRO20zL7EMl1h9s0ILdnS4g/bw+2M9qZYaZXBd1tqZTJ9681FSnsOOv7lQSkZpGYaQc7c/ZzwNLHsDA4Kq2V2mE1Wri+BDTtJQhJjcQjgaYY4UBJTM/SGZugKzsPGI3rydl4ypaf7+OpNziQchCNjsb67dhReNOrEjpSHpcXXPFrgjs2vGT+02McVInruiSkflcJ86NN9a8xFQnvmjZHT1DkxTj1BkWEamyFEbKiT/sZ9LCSfj8PjrX68xDFzxkdUlSwWw2W3RMluaFbWGfj5zFi8le8CW5S5YQyc2Nbm+PiyN+wAASBg7EuLAvSc4YOuUFGZNX8hJS0dmX6HLhWZqizr1FnYNTj56kqFNw2G14Y4svISXHFnfcLe7EW/IyU3IV6dQrIjWfwkg5eXLVk2w5soVkTzLPXPwMbkfZOnBK9RPYs4echQvJXriQvNVrIBSKrnM2aEDCoEEkXjKYuF69sLuL/13UAVrWO/39hMKRwjMwQXz5AY7lHncp6bi+MMXL5nN+MEw4YnA0t2j8mNyf3VcRt9NeokNvcWD5UV+YWPOMTFHfGY0TIyKloTBSDmbvnM3H2z/Gho2/9f8bKQkpVpckFcgIBMhbu5achYvIWbSIwO7dJda7z25D4qDBJF4ymJjOncttHhinw069BA/1Ejylel9BMFwcWHILg0xRn5i84y4vFS3nH9ep9zT6w5xMvNtRosNuyTMuReHluCAT5yYp1oXDrrMwIrWRwsgZ2u3bzWPLHwPgV11/RZ+mfSyuSCpCKCODnEWLyVm0iNyvvy5x+QWnk7iePUm46CISBw3E3bKldYWeRNFEjI2SYk77PUX9YY6/TFTyUlLRcnHn3qKzNIaBOXheIJ/9mfmnvU+bDZJiXKfoC+Mu7Mhb3BemKOAkeNQfRqS6Uxg5A/6wn/sW3UdeKI+ejXpyR7c7rC5JyokRiVCweQs5i8yzHwUbN5ZY76hXj4QBA0i46CLi+/bBkZhoUaUV4/j+MKWZMiESMcgqCJYMMIWXlE7VFyYzzxwYzzCIjhfDkbyf31khp91W4tJR0Z1HRR15T/ZIKpyOQHcmiVQNCiNn4OnVT7Pt2DbqxtTlbwP+hsOuETGrs7DPR+7y5eQsWULO4sWED2eUWB/TqRMJF11EwsCLienUqdwuv9QkdrstOujdWcSf9vuC4UiJW6eP5R4XZH58Jua4S0r+wgkpM3ICZOSUfj6lBI+zRDg5WWj58XLRtAMep/5/FykvCiNlNGf3HD7c9iE2bEzuN5mGcQ2tLklKyQiFyN+wkdylS8n5eikFGzeVGHzMHhdHfN8+JFx8MfH9++NqqP/GFcXlsNMg0UODxNL3hynqC1M0sN2PLykdP2pv0XNuwJxDKccfIscfKtXlpCIxLnuJyR1PDC0nOyNTs+ZPEikvCiNlkJqVyqPLHgXgti63qZ9INRI8cICcpUvJXfo1uStWEMnKKrHefXYbEvr2I+GiAcT27Fni7hepemJcDlK8saR4T398GDDPxGT/eNqBkyz/eCoCX545WaRhUDhjduk790LR/EkuEmNcJBbOaJ1YNMt14ezWJV7HFm9T9KxLTFKTKIyUUiAc4L5F95EbzKV7w+7cee6dVpckPyGSn0/e6tXRABLYubPEervXS3zv3iT060t83764UnQnVG3gctipG++mbnzpw2YkYpDtD500vJScUyl0YrjJN0ftNedPKtulpSKxLocZTmJd0dBSFFaSfhRkEj2ukq9jXCR6nNh195JUEQojpfSPNf9g69GtJHuS+duAv+G06xBWJUYwSP7GTeStXEHuipXkr1+PETjuF77dTmy3bsT360tCv37mrbea/VZKwV44gJw31hUd7O50HT9/UtEs1dkFweis1iWeT7E+r/ASU9HM1umlnEvpeIkeZ4kgkxjjJCHGRYLHUdiB2UW8xww9J10ufNZZGjlT+iYthYV7F/Lf7/4LwBP9nqBxfGNrCxKMSAT/tm3kLl9B7soV5K9eQySv5J0YziYpJPTtR3y/fsT3vhBHUpJF1UptV9b5k44XCkfI8YfIyi8OKNkF5pmY7ONf54fI9pcMNkXb+ENm36hsf4hsfwh8BWf0uWJcdhIKz77EHxdkEjwOEmKOW/YcH3Zchesc0XAT79bZmtpKYeQ0Hc47zB+//iMAN3e8mf7N+ltcUe1kGAaBXbujZz7yVq4knJlZYhtHcjJxvXoRf2Ev4npdiLvVWeosKDWG02GP3rFUVv5QODqtQDS4FJj9YXIKQuQWduzN9hcuFxy3fNzrQGGoKeo/k5FT9rM0RRI8xwcaJ3FuZ2GAc5jLbgdxnuLnhGi7k7jCQBPndhDvMZ89Trv+/68GFEZOQ8SI8MjSRzjmP0b7uu25p/s9VpdUa0TDx9o15K9ZQ+6KlYQOlZzx1h4XR+z5PYm/sDfxF/bC066dbrsV+QkepwNPgoP6pRzN98cCoUhxQDkuqJxyOVDclus3w1DR+nDEAIrvcDrEmQcbMMehOT6cRJ9/KuS4zfb4aBgqDjlxbicxLgWc8qYwchr+s+U/LE9bTowjhr8N+JvmnalARjiMf/t28lavIW/tWvLWrCF85EiJbWwuF7Hdu0fPfMR26YzN5bKoYpHay+2043a6qVOGjsDHMwwDf8i8wyl6VqYwqOQFzH4yuf7C54C5TZ7fXP7xujx/mBx/KHopKhQxyCq8RFVebDazA3Gsy0Gs20Gcu3g51mUGluJlR4nlmML1xcuOE7aNcTpq3eUqhZGf8d3R7/jnun8CcP/599Pa29riimoWIxAgf9Nm8tauIW/NGvLXrSeSnV1iG5vbTWy3bsT27EH8+ecT27079pjTH9pcRKo2m80WnbagtGPNnEooHCEvGC4OLdHwEiLHHybPHyI3cNxzIESuP1y4vmTIKVqXHzQ7DxsGhe3h0sw7WSoxLrsZao4LPEXhpUSQcTmILQo3TrsZZgqPZdF7Y5wOYt12PM7i4BPjclSpuaAURn5Cfiif3y/+PcFIkIHNB3J126utLqnaCx05Qv433xQ+viV/40aMgpKd5+zx8cR2705cz57E9exBTJcuGu9DRErF6bCT5LCTFFN+Z03DEYP8oBlOCgIR8oJmWCkoDCb5wTD5heElPxghPxAq3N5sjy4ft11BMFK4fZiCYPGgi2Y/nLLf+n063A47MS67GVzcDh65rANDOllzY4bCyE94evXT7PLtokFsAx7r85iuEZaSEQxS8N028r/9NhpAgvv2nbCdo06daPCI7dmTmHbtsDn1T1NEqhaHvXjOpooQKQw7xWElXBx+CoNMXiAcXc4/bn1eIIw/GKGg6P2F4aYgGC5uC4Sjl68AAuEIgXAkegkrGDYq5HOdDv3GP4UFqQv4aPtHAPy131+pE1OK2cJqIcMwCKWlkb9pU2H4+JaCTZsw/D/qhGaz4Tn7bGLP7UbsuecSe955uFu1UtATkVrPbi++9buiRCJm/5ySocV8tKqfUGH7/TkKIyeRnpceHe59fKfx9G7S29qCqhjDMAgdPEjB5s3kb9pEweYtFGzaRPjYsRO2tXu9xHbravb5OPdcYrt2rXEz3IqIVBd2u83sN+J2UJX+xFYY+RHDMPjjsj+S6c+kQ90O3HNe7b6N1zAMQocOUbDFDBz5mzdTsGnzCXe4AOB04jnnHGK7dDGDx7ndcJ91lm6zFRGRn6Qw8iMff/8xX+//GrfdzeT+k3E5as8to5H8fPzff0/Btm34t23Hv20bBdu3E/H5TtzY4cBz9tnEdO5ETKdOxHbujKddO+ye8ukJLyIitYfCyHH2Zu3l6dVPA3Bv93tpk9zG4ooqhhEKEdi7l8DOnSWCR2DPHvOetR9zOPC0bk1M587EdO5EbKdOeNq31+21IiJSLhRGCoUjYR75+hHyQ/n0bNSTGzreYHVJZyySl4d/5y4Cu3bi37GDwM5d+HfuILAnFYLBk77HUbcuMe3b4WnXHk+7tsS0a4e7TRvdWisiIhVGYaTQO1veYX36euKccfyl31+w26pHP4dIXh6BvfsI7k0lkLqXwN5Ugql78e/aSehA2infZ4uJwd26FTHntMXTrl00eDjr16/E6kVERMoYRqZMmcLTTz9NWloanTp14rnnnqN//1NPHLdo0SImTZrE5s2badKkCb///e+ZMGFCmYsub9uPbedf6/8FwIMXPEjThKYWV1QsUlBA6OBBggcPEkw7SHD//uOCx17CGRk/+X5H3bq4W7fC07qN+dymDZ7WrXGmpKhjqYiIVAmlDiMffvghEydOZMqUKfTt25eXX36Z4cOHs2XLFlq0aHHC9rt27eKyyy7j9ttv59133+Xrr7/mzjvvpEGDBowdO7ZcPsSZCIaDPLzkYYKRIBc1u4hRZ4+qlP0a4TDhY8cIHTlK+EgGoSNHCB48SCitMHgcTCOUdvCkt8v+mN3rxd28Oe4WzXE1M5/drVrhbt0aZ52qdPOWiIjIiWyGcbIei6fWq1cvunfvzosvvhht69ChA6NGjWLy5MknbP/AAw8wc+ZMtm7dGm2bMGEC3377LcuXLz+tfWZlZeH1evH5fCQlJZWm3J/1/LrneXXjqyR7kpk+cjr1Y0t3mcIwDIyCAsJZWUSysggXPszlbMJZPiJZWWboOHqEUMYRQkeOmCEjEvn5HQC22FhcjRvjSmmMMyUFd/MWZvAofHZ4vWX56CIiIhXqdL+/S3VmJBAIsHbtWh588MES7UOGDGHZsmUnfc/y5csZMmRIibahQ4fy+uuvEwwGcZ1ktlW/34//uJE7s7KySlPmadv4zvOE5r7MrRGDvo3aEtj0HAfCEYxwCMIRjEgYQiEiBX6M/HwiBQVECvIx8guIFBRE2043VJzAZsORnIyzfj0cdevhbNQQV+MUM3Q0bowrJQVX48bYvV6NUCoiIjVWqcJIRkYG4XCYRo0alWhv1KgRBw8ePOl7Dh48eNLtQ6EQGRkZpKSknPCeyZMn89hjj5WmtFIzDIMtn73H8G+LgsQyTjKaxulzOHAkJmL3JuFITMKRlIQ9yXx2JCXiqFPXDB316heGj7o469bVHCwiIlLrlemb8Md/pRuG8ZN/uZ9s+5O1F3nooYeYNGlS9HVWVhbNmzcvS6k/WdN5V01gZcr/uLjlYGLcsdgcTnDYsdkd5nPha3tMLPbYGGwxMdhjY7HHxmI7vi0uHnt8nM5eiIiIlEGpwkj9+vVxOBwnnAVJT08/4exHkcaNG590e6fTSb169U76Ho/Hg6cSRvJse/UttL36lgrfj4iIiJxaqe7tdLvd9OjRg3nz5pVonzdvHn369Dnpe3r37n3C9nPnzqVnz54n7S8iIiIitUupB5qYNGkSr732Gm+88QZbt27lt7/9LampqdFxQx566CFuuumm6PYTJkxgz549TJo0ia1bt/LGG2/w+uuvc99995XfpxAREZFqq9R9RsaNG8eRI0d4/PHHSUtLo3PnzsyePZuWLVsCkJaWRmpqanT7Vq1aMXv2bH7729/y73//myZNmvD8889XiTFGRERExHqlHmfEChU5zoiIiIhUjNP9/tZ44CIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiqVIPB2+FokFis7KyLK5ERERETlfR9/bPDfZeLcJIdnY2AM2bN7e4EhERESmt7OxsvF7vKddXi7lpIpEIBw4cIDExEZvNVm4/Nysri+bNm7N3717NeVPBdKwrh45z5dBxrhw6zpWnoo61YRhkZ2fTpEkT7PZT9wypFmdG7HY7zZo1q7Cfn5SUpH/olUTHunLoOFcOHefKoeNceSriWP/UGZEi6sAqIiIillIYEREREUvV6jDi8Xj405/+hMfjsbqUGk/HunLoOFcOHefKoeNceaw+1tWiA6uIiIjUXLX6zIiIiIhYT2FERERELKUwIiIiIpZSGBERERFL1eowMmXKFFq1akVMTAw9evRgyZIlVpdUbUyePJnzzz+fxMREGjZsyKhRo9i2bVuJbQzD4NFHH6VJkybExsZy8cUXs3nz5hLb+P1+7r77burXr098fDxXXnkl+/btq8yPUq1MnjwZm83GxIkTo206zuVn//793HDDDdSrV4+4uDjOPfdc1q5dG12vY33mQqEQf/jDH2jVqhWxsbG0bt2axx9/nEgkEt1Gx7lsFi9ezBVXXEGTJk2w2WzMmDGjxPryOq7Hjh3jxhtvxOv14vV6ufHGG8nMzDyz4o1a6oMPPjBcLpfx6quvGlu2bDHuvfdeIz4+3tizZ4/VpVULQ4cONd58801j06ZNxjfffGOMGDHCaNGihZGTkxPd5sknnzQSExONqVOnGhs3bjTGjRtnpKSkGFlZWdFtJkyYYDRt2tSYN2+esW7dOmPgwIFGt27djFAoZMXHqtJWrVplnHXWWUbXrl2Ne++9N9qu41w+jh49arRs2dIYP368sXLlSmPXrl3G/PnzjR9++CG6jY71mfvLX/5i1KtXz5g1a5axa9cu46OPPjISEhKM5557LrqNjnPZzJ4923jkkUeMqVOnGoAxffr0EuvL67gOGzbM6Ny5s7Fs2TJj2bJlRufOnY3LL7/8jGqvtWHkggsuMCZMmFCirX379saDDz5oUUXVW3p6ugEYixYtMgzDMCKRiNG4cWPjySefjG5TUFBgeL1e46WXXjIMwzAyMzMNl8tlfPDBB9Ft9u/fb9jtdmPOnDmV+wGquOzsbOOcc84x5s2bZ1x00UXRMKLjXH4eeOABo1+/fqdcr2NdPkaMGGH88pe/LNE2ZswY44YbbjAMQ8e5vPw4jJTXcd2yZYsBGCtWrIhus3z5cgMwvvvuuzLXWysv0wQCAdauXcuQIUNKtA8ZMoRly5ZZVFX15vP5AKhbty4Au3bt4uDBgyWOscfj4aKLLooe47Vr1xIMBkts06RJEzp37qz/Dj/ym9/8hhEjRnDJJZeUaNdxLj8zZ86kZ8+eXH311TRs2JDzzjuPV199Nbpex7p89OvXjwULFrB9+3YAvv32W5YuXcpll10G6DhXlPI6rsuXL8fr9dKrV6/oNhdeeCFer/eMjn21mCivvGVkZBAOh2nUqFGJ9kaNGnHw4EGLqqq+DMNg0qRJ9OvXj86dOwNEj+PJjvGePXui27jdburUqXPCNvrvUOyDDz5g3bp1rF69+oR1Os7lZ+fOnbz44otMmjSJhx9+mFWrVnHPPffg8Xi46aabdKzLyQMPPIDP56N9+/Y4HA7C4TB//etf+cUvfgHo33RFKa/jevDgQRo2bHjCz2/YsOEZHftaGUaK2Gy2Eq8NwzihTX7eXXfdxYYNG1i6dOkJ68pyjPXfodjevXu59957mTt3LjExMafcTsf5zEUiEXr27MkTTzwBwHnnncfmzZt58cUXuemmm6Lb6VifmQ8//JB3332X//73v3Tq1IlvvvmGiRMn0qRJE26++ebodjrOFaM8juvJtj/TY18rL9PUr18fh8NxQopLT08/ITXKT7v77ruZOXMmX331Fc2aNYu2N27cGOAnj3Hjxo0JBAIcO3bslNvUdmvXriU9PZ0ePXrgdDpxOp0sWrSI559/HqfTGT1OOs5nLiUlhY4dO5Zo69ChA6mpqYD+TZeX+++/nwcffJBrr72WLl26cOONN/Lb3/6WyZMnAzrOFaW8jmvjxo05dOjQCT//8OHDZ3Tsa2UYcbvd9OjRg3nz5pVonzdvHn369LGoqurFMAzuuusupk2bxpdffkmrVq1KrG/VqhWNGzcucYwDgQCLFi2KHuMePXrgcrlKbJOWlsamTZv036HQ4MGD2bhxI99880300bNnT66//nq++eYbWrdureNcTvr27XvC7enbt2+nZcuWgP5Nl5e8vDzs9pJfPQ6HI3prr45zxSiv49q7d298Ph+rVq2KbrNy5Up8Pt+ZHfsyd32t5opu7X399deNLVu2GBMnTjTi4+ON3bt3W11atXDHHXcYXq/XWLhwoZGWlhZ95OXlRbd58sknDa/Xa0ybNs3YuHGj8Ytf/OKkt5E1a9bMmD9/vrFu3Tpj0KBBtf72vJ9z/N00hqHjXF5WrVplOJ1O469//avx/fffG++9954RFxdnvPvuu9FtdKzP3M0332w0bdo0emvvtGnTjPr16xu///3vo9voOJdNdna2sX79emP9+vUGYDzzzDPG+vXro0NWlNdxHTZsmNG1a1dj+fLlxvLly40uXbro1t4z8e9//9to2bKl4Xa7je7du0dvS5WfB5z08eabb0a3iUQixp/+9CejcePGhsfjMQYMGGBs3LixxM/Jz8837rrrLqNu3bpGbGyscfnllxupqamV/Gmqlx+HER3n8vPpp58anTt3Njwej9G+fXvjlVdeKbFex/rMZWVlGffee6/RokULIyYmxmjdurXxyCOPGH6/P7qNjnPZfPXVVyf9vXzzzTcbhlF+x/XIkSPG9ddfbyQmJhqJiYnG9ddfbxw7duyMarcZhmGU/byKiIiIyJmplX1GREREpOpQGBERERFLKYyIiIiIpRRGRERExFIKIyIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRS/w+MYRa6yvoKgwAAAABJRU5ErkJggg==\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -136,11 +138,11 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -166,13 +168,15 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "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",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:41.984380</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m4852ce8f70\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mcba58ca105\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mcba58ca105\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mcba58ca105\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mcba58ca105\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mcba58ca105\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mcba58ca105\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pb0476d7ad4)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pb0476d7ad4)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pb0476d7ad4)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pb0476d7ad4)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb0476d7ad4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -200,8 +204,8 @@
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       ")}\n",
       "Epoch: 21\t Loss: tensor(0.0034, grad_fn=<MseLossBackward>)\n",
@@ -612,7 +616,6 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "{'a': 0.09996917098760605,\n",
@@ -620,8 +623,9 @@
        " 'g2': 0.19910137355327606}"
       ]
      },
+     "execution_count": 10,
      "metadata": {},
-     "execution_count": 10
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -631,11 +635,11 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# Predictions for nt = 10000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -643,7 +647,6 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
@@ -656,8 +659,9 @@
        "       grad_fn=<StackBackward>)"
       ]
      },
+     "execution_count": 11,
      "metadata": {},
-     "execution_count": 11
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -671,13 +675,15 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "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",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:34:58.731792</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m915c578356\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.273255\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2000 -->\n      <g transform=\"translate(98.548255 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.210658\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4000 -->\n      <g transform=\"translate(163.485658 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.148061\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6000 -->\n      <g transform=\"translate(228.423061 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.085464\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8000 -->\n      <g transform=\"translate(293.360464 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.022866\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10000 -->\n      <g transform=\"translate(355.116616 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"254.492188\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m332be684cb\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"212.384307\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 216.183525)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"163.552613\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 167.351832)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"114.72092\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 118.520139)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"65.889227\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 69.688446)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"17.057534\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 20.856752)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p163d4934a0)\" d=\"M 46.335852 236.800153 \nL 47.861881 236.909622 \nL 49.517785 237.254764 \nL 51.40097 237.879245 \nL 53.673779 238.877844 \nL 56.693368 240.46573 \nL 69.583442 247.52095 \nL 73.479687 249.250621 \nL 77.375931 250.737152 \nL 81.434519 252.045748 \nL 85.752856 253.202249 \nL 90.460817 254.230145 \nL 95.720747 255.146032 \nL 101.694988 255.954605 \nL 108.64329 256.663524 \nL 116.922809 257.276536 \nL 127.053044 257.795145 \nL 139.975587 258.223366 \nL 157.216468 258.559214 \nL 181.957618 258.801872 \nL 222.283745 258.950044 \nL 312.93636 259.008456 \nL 370.990398 259.011966 \nL 370.990398 259.011966 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p163d4934a0)\" d=\"M 46.335852 41.473386 \nL 48.186568 64.916503 \nL 50.037284 85.573117 \nL 51.888 103.800039 \nL 53.771185 120.177743 \nL 55.65437 134.655366 \nL 57.570023 147.691335 \nL 59.518145 159.430728 \nL 61.466267 169.841718 \nL 63.446858 179.24228 \nL 65.459917 187.731447 \nL 67.505446 195.397658 \nL 69.550974 202.217839 \nL 71.628971 208.386879 \nL 73.739436 213.964079 \nL 75.882371 219.002724 \nL 78.057774 223.550967 \nL 80.265645 227.652367 \nL 82.505986 231.346595 \nL 84.778795 234.669853 \nL 87.116541 237.694765 \nL 89.486756 240.403025 \nL 91.954378 242.885354 \nL 94.486936 245.119434 \nL 97.116901 247.145856 \nL 99.876741 248.992735 \nL 102.798924 250.67868 \nL 105.883451 252.200428 \nL 109.195258 253.583984 \nL 112.766815 254.832095 \nL 116.66306 255.954605 \nL 120.948928 256.954764 \nL 125.754296 257.843175 \nL 131.209038 258.619974 \nL 137.540435 259.289976 \nL 145.040705 259.852741 \nL 154.261816 260.313033 \nL 166.177829 260.673794 \nL 182.769336 260.937966 \nL 209.036515 261.110248 \nL 262.707279 261.197611 \nL 370.990398 261.215283 \nL 370.990398 261.215283 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p163d4934a0)\" d=\"M 46.335852 261.216 \nL 47.926819 241.258403 \nL 49.485316 224.415854 \nL 51.043814 209.947621 \nL 52.569843 197.821879 \nL 54.063403 187.691499 \nL 55.524495 179.262247 \nL 56.953118 172.284174 \nL 58.349272 166.54461 \nL 59.712957 161.862342 \nL 61.011705 158.16606 \nL 62.277985 155.208334 \nL 63.511795 152.881211 \nL 64.680669 151.134453 \nL 65.817073 149.824423 \nL 66.921009 148.885778 \nL 67.992476 148.26203 \nL 69.063943 147.896809 \nL 70.13541 147.767644 \nL 71.239346 147.859531 \nL 72.40822 148.18252 \nL 73.674499 148.768299 \nL 75.070653 149.667193 \nL 76.629151 150.945163 \nL 78.382461 152.680016 \nL 80.39552 154.995395 \nL 82.765735 158.076122 \nL 85.622981 162.171374 \nL 89.356882 167.937395 \nL 95.948028 178.605573 \nL 103.15608 190.127697 \nL 108.026385 197.491941 \nL 112.344722 203.626826 \nL 116.435779 209.056465 \nL 120.364492 213.905085 \nL 124.228267 218.321899 \nL 128.027105 222.329997 \nL 131.825943 226.017074 \nL 135.624781 229.397273 \nL 139.456088 232.512265 \nL 143.352332 235.395836 \nL 147.345982 238.074665 \nL 151.437039 240.550452 \nL 155.65797 242.843812 \nL 160.008776 244.955157 \nL 164.554394 246.913614 \nL 169.327293 248.726142 \nL 174.359942 250.397036 \nL 179.684809 251.928798 \nL 185.366832 253.330323 \nL 191.503416 254.611871 \nL 198.1595 255.771195 \nL 205.464958 256.813657 \nL 213.549665 257.738586 \nL 222.640901 258.550404 \nL 233.063354 259.252005 \nL 245.239117 259.842323 \nL 259.947439 260.324655 \nL 278.487067 260.699607 \nL 303.487967 260.968834 \nL 341.67116 261.135842 \nL 370.990398 261.182246 \nL 370.990398 261.182246 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p163d4934a0)\" d=\"M 46.335852 261.216 \nL 47.082632 261.107632 \nL 47.861881 260.763839 \nL 48.706067 260.144506 \nL 49.680129 259.136074 \nL 50.784064 257.646865 \nL 52.017875 255.592058 \nL 53.446498 252.759635 \nL 55.102402 248.953544 \nL 57.018055 243.967293 \nL 59.290864 237.406088 \nL 62.115641 228.529952 \nL 65.882011 215.900971 \nL 82.343642 159.800214 \nL 86.467167 146.999246 \nL 90.298474 135.813085 \nL 93.967437 125.77706 \nL 97.506526 116.734843 \nL 100.948208 108.539959 \nL 104.324953 101.061518 \nL 107.669229 94.18605 \nL 110.981037 87.877218 \nL 114.292844 82.04239 \nL 117.604652 76.656682 \nL 120.916459 71.694102 \nL 124.228267 67.128628 \nL 127.572543 62.894876 \nL 130.949288 58.977316 \nL 134.358502 55.360071 \nL 137.832653 51.996601 \nL 141.371741 48.878727 \nL 144.975767 45.997252 \nL 148.677199 43.319693 \nL 152.508506 40.821951 \nL 156.469687 38.504724 \nL 160.593213 36.350534 \nL 164.879081 34.361505 \nL 169.424699 32.49983 \nL 174.16513 30.79866 \nL 179.230247 29.218599 \nL 184.65252 27.763403 \nL 190.464418 26.436652 \nL 196.730877 25.235216 \nL 203.614242 24.144587 \nL 211.244387 23.165462 \nL 219.686249 22.308219 \nL 229.264516 21.560443 \nL 240.401281 20.9179 \nL 253.583573 20.384781 \nL 269.817924 19.957462 \nL 290.760237 19.636525 \nL 320.079474 19.418987 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_17\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_18\"/>\n    <g id=\"text_13\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_19\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_20\"/>\n    <g id=\"text_14\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_21\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_22\"/>\n    <g id=\"text_15\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_23\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_24\"/>\n    <g id=\"text_16\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p163d4934a0\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -705,18 +711,78 @@
     "scipy.io.savemat(\"SEIR_fit.mat\", {\"x\": results_test_np})"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Mean Squared Error Loss"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs={\"a\": 0.1, \"g1\": 0.3, \"g2\": 0.2},\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None,\n",
+    ")\n",
+    "\n",
+    "result_train = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs={\"a\": 0.09996917098760605, \"g1\": 0.24255302548408508, \"g2\": 0.19910137355327606},\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None,\n",
+    ")\n",
+    "\n",
+    "result_test = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tensor(1.0925e-05, grad_fn=<MseLossBackward>)"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "loss = torch.nn.MSELoss()\n",
+    "loss(result_train,result_test)"
+   ]
   }
  ],
  "metadata": {
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  },
   "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)",
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -729,9 +795,6 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
   }
  },
  "nbformat": 4,
diff --git a/examples/ode/SEIR/SEIRTest_fitRandomSample_RK4.ipynb b/examples/ode/SEIR/SEIRTest_fitRandomSample_RK4.ipynb
index 9e99d3b4..ce2cdab2 100644
--- a/examples/ode/SEIR/SEIRTest_fitRandomSample_RK4.ipynb
+++ b/examples/ode/SEIR/SEIRTest_fitRandomSample_RK4.ipynb
@@ -54,11 +54,11 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -85,7 +85,6 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
@@ -98,8 +97,9 @@
        "       grad_fn=<StackBackward>)"
       ]
      },
+     "execution_count": 5,
      "metadata": {},
-     "execution_count": 5
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -112,13 +112,15 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAGdCAYAAADAAnMpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAABqfklEQVR4nO3dd5wU9f3H8df263t0jiqg9KKAIlUBpYhKUzFWjJqgsRCiseWXqEnEaKLGGOw1GjVKERGRojTpRamC0o5ycBxwe33r/P6Yuz1OQLnj7ubK+/l47GNnvzN789kRb983853v12YYhoGIiIiIRexWFyAiIiK1m8KIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiKafVBZyOSCTCgQMHSExMxGazWV2OiIiInAbDMMjOzqZJkybY7ac+/1EtwsiBAwdo3ry51WWIiIhIGezdu5dmzZqdcn21CCOJiYmA+WGSkpIsrkZEREROR1ZWFs2bN49+j59KtQgjRZdmkpKSFEZERESqmZ/rYqEOrCIiImIphRERERGxlMKIiIiIWKpa9BkRERGpbgzDIBQKEQ6HrS6lwjgcDpxO5xkPu6EwIiIiUs4CgQBpaWnk5eVZXUqFi4uLIyUlBbfbXeafoTAiIiJSjiKRCLt27cLhcNCkSRPcbneNHLDTMAwCgQCHDx9m165dnHPOOT85sNlPURgREREpR4FAgEgkQvPmzYmLi7O6nAoVGxuLy+Viz549BAIBYmJiyvRz1IFVRESkApT1LEF1Ux6fs3YcKREREamyFEZERETEUgojIiIiYimFEREREQEgPT2dX//617Ro0QKPx0Pjxo0ZOnQoy5cvr9D91u67aQ58A/P+D656C+LrWV2NiIiIpcaOHUswGOTtt9+mdevWHDp0iAULFnD06NEK3W/tDSOGATPvgoMb4bPfwtVvQw28D1xERKxnGAb5wcofiTXW5TjtMU4yMzNZunQpCxcu5KKLLgKgZcuWXHDBBRVZIlCbw4jNBle+AK8Nhi2fwMaPoevVVlclIiI1UH4wTMc/flHp+93y+FDi3Kf3VZ+QkEBCQgIzZszgwgsvxOPxVHB1xWp3n5Em58JFD5jLs38HWQcsLUdERMQqTqeTt956i7fffpvk5GT69u3Lww8/zIYNGyp83zbDMIwK38sZysrKwuv14vP5SEpKKt8fHg7B65fCgXXQZjDcMFWXa0REpMwKCgrYtWsXrVq1io5IWh0u0xQpKChgyZIlLF++nDlz5rBq1Spee+01xo8ff8rtf/x5i5zu97fCCMDh7fByfwgVwIhn4Pxby38fIiJSK/zUl3N1dNtttzFv3jz27Nlz0vXlEUZq92WaIg3awuA/mctz/w+O7rS2HhERkSqiY8eO5ObmVug+FEaK9JoAZ/WHYC5MvwMilX86TURExCpHjhxh0KBBvPvuu2zYsIFdu3bx0Ucf8dRTTzFy5MgK3XftvZvmx+x2GDUFpvSBvStg+QvQ916rqxIREakUCQkJ9OrVi2effZYdO3YQDAZp3rw5t99+Ow8//HCF7lt9Rn5s3X/M8UccbvjVQmjUqWL3JyIiNUpN6zPyc9RnpCKcdwO0HQbhAEz/NYQCVlckIiJSoymM/JjNBlc8D7F1zdFZF/3N6opERERqNIWRk0lsBJc/ay4vfQb2VOwEQSIiIrWZwsipdBoF514PRgSm/QoKfFZXJCIiUiMpjPyU4X+DOmeBLxU+u8/qakRERGokhZGf4kmEMa+CzQEb/wcbPrK6IhERkRpHYeTnNL8ALvq9ufzZJDh28uFwRUREpGwURk5H//ug2QXgz4LpEzQ6q4iISDlSGDkdDieMeQXciZC6DJY+a3VFIiIiNYbCyOmq2woue9pcXjgZ9q21th4REZFyNn78eGw22wmPYcOGVeh+FUZKo9u10GkMREIw7Tbw51hdkYiISLkaNmwYaWlpJR7vv/9+he5TE+WVhs0Glz8De1fB0Z0w50EY+YLVVYmIiJQbj8dD48aNK3WfCiOlFVsHxrwMb10O6/8DrS+GLldZXZWIiFRlhgHBvMrfryvO/EO6ilMYKYuz+sGA+2Dx0/DpRGjaHeq2troqERGpqoJ58ESTyt/vwwfAHV+qt8yaNYuEhIQSbQ888AD/93//V56VlaAwUlYXPQi7l0Lqcvj4l/DLueB0W12ViIjIGRk4cCAvvvhiiba6detW6D4VRsrK4YSxr8FL/eDAeljwGAz9q9VViYhIVeSKM89SWLHfUoqPj+fss8+ugGJOTWHkTHibwcgp8MEvYPkL0GoAtB1qdVUiIlLV2GylvlxSm+jW3jPV/jLoNcFcnj4BsixIviIiIuXE7/dz8ODBEo+MjIwK3afCSHm49HFo3BXyj8LU2zVcvIiIVFtz5swhJSWlxKNfv34Vuk+FkfLg9MDVb4E7AfYsNe+yERERqWbeeustDMM44fHdd99V6H4VRspLvTZweeGcNYv+Zt5pIyIiIj9LYaQ8db0Gzr0ejAhMvQ1yK/Yam4iISE2gMFLeLnsa6reF7DQzkKj/iIiIyE9SGClv7ni45h3z3u6dX8Gip6yuSEREpEpTGKkIDTvA5c+Zy4v+Bj8ssLQcERGRqqxMYWTKlCm0atWKmJgYevTowZIlS35y+/fee49u3boRFxdHSkoKt9xyC0eOHClTwdVGt3HQ4xbAMC/X+PZZXZGIiEiVVOow8uGHHzJx4kQeeeQR1q9fT//+/Rk+fDipqakn3X7p0qXcdNNN3HrrrWzevJmPPvqI1atXc9ttt51x8VXesCchpZs5/shHt0A4aHVFIiIiVU6pw8gzzzzDrbfeym233UaHDh147rnnaN68+QmT6hRZsWIFZ511Fvfccw+tWrWiX79+/PrXv2bNmjVnXHyV54qBq98Gjxf2rYJ5f7K6IhERkSqnVGEkEAiwdu1ahgwZUqJ9yJAhLFu27KTv6dOnD/v27WP27NkYhsGhQ4f4+OOPGTFixCn34/f7ycrKKvGotuq2gtEvmcsr/g1bPrG2HhERkSqmVGEkIyODcDhMo0aNSrQ3atSIgwcPnvQ9ffr04b333mPcuHG43W4aN25McnIy//rXv065n8mTJ+P1eqOP5s2bl6bMqqf9ZdDnHnP5k7vgyA5r6xEREalCytSB1WazlXhtGMYJbUW2bNnCPffcwx//+EfWrl3LnDlz2LVrFxMmTDjlz3/ooYfw+XzRx969e8tSZtUy+I/Qog/4s+B/N0Ew3+qKREREShg/fjyjRo2q9P06S7Nx/fr1cTgcJ5wFSU9PP+FsSZHJkyfTt29f7r//fgC6du1KfHw8/fv35y9/+QspKSknvMfj8eDxeEpTWtXncMFVb8DL/eHQJvjsdzDy3+a00iIiIrVYqc6MuN1uevTowbx580q0z5s3jz59+pz0PXl5edjtJXfjcDgA84xKrZKUAmNfB5sdvnkP1rxudUUiIiKWK9WZEYBJkyZx44030rNnT3r37s0rr7xCampq9LLLQw89xP79+3nnnXcAuOKKK7j99tt58cUXGTp0KGlpaUycOJELLriAJk2alO+nqQ5aXwSXPArz/gifPwiNOkOLC62uSkREKpBhGOSHKv/yfKwz9pTdKKqSUoeRcePGceTIER5//HHS0tLo3Lkzs2fPpmXLlgCkpaWVGHNk/PjxZGdn88ILL/C73/2O5ORkBg0axN/+9rfy+xTVTZ974MB62Dzd7D/yq0XmWRMREamR8kP59Ppvr0rf78rrVhLniqv0/ZZWqcMIwJ133smdd9550nVvvfXWCW133303d999d1l2VTPZbHDlC3B4G6RvMQPJ+M/A6ba6MhERkUpXpjAi5cCTAOPehVcHmgOizXkALn/W6qpERKQCxDpjWXndSkv2Wx0ojFipXhsY8xr89xpY8wY0OQ+632R1VSIiUs5sNlu1uFxiFc3aa7W2Q2DgI+byZ7+DfWutrUdERKSSKYxUBf1/B+1GQDgAH94AOelWVyQiIlJpFEaqArvdnL+m3jmQfQA+Gq8ZfkVEpNK99dZbzJgxo9L3qzBSVcQkwbX/BXci7Pka5jxkdUUiIiKVQmGkKmnQFsa8DNhg9auwWiO0iohIzacwUtW0HwGD/mAuf/572LXE2npEREQqmMJIVdT/d9D5KoiE4H83wtFdVlckIiJSYRRGqiKbDUa+AE26Q/4xeP9aKMiyuioREZEKoTBSVblizQ6tiSlw+DuYdjtEwlZXJSIiUu4URqqypBS49j1wxsD2ObDgcasrEhERKXcKI1Vd0x4w8t/m8tfPwbcfWFqOiIhIeVMYqQ66XGV2agWYeQ/sW2NtPSIiIuVIYaS6GPiHwiHj/fDBdZC51+qKREREyoXCSHVht8OYV6BRZ8g5BP8dpztsRESkXI0fPx6bzYbNZsPpdNKiRQvuuOMOjh07VqH7VRipTjwJ8IsPIKERpG8unMMmZHVVIiJSgwwbNoy0tDR2797Na6+9xqeffsqdd95ZoftUGKlukpvDdR+CKw52LIDP7wfDsLoqERGpITweD40bN6ZZs2YMGTKEcePGMXfu3Ardp7NCf7pUjCbnwdjX4IPrYc0bULcN9LnL6qpEROQUDMPAyM+v9P3aYmOx2Wxlfv/OnTuZM2cOLperHKs6kcJIddV+BAz9K3zxMMz9A9RpCR2usLoqERE5CSM/n23de1T6ftutW4stLq5U75k1axYJCQmEw2EKCgoAeOaZZyqivChdpqnOLrwTzr8NMGDq7bB/rdUViYhINTdw4EC++eYbVq5cyd13383QoUO5++67K3SfOjNSndlsMOxvcGwP/DAP/nst3L4AkltYXZmIiBzHFhtLu3WV/wejLTa21O+Jj4/n7LPPBuD5559n4MCBPPbYY/z5z38u7/KiFEaqO4cTrnoD3hwOhzaZt/z+cg7EeK2uTERECtlstlJfLqkq/vSnPzF8+HDuuOMOmjRpUiH70GWamiAmybzDJqExpG+B/90EoYDVVYmISA1w8cUX06lTJ5544okK24fCSE3hbVZ4y2887FwIM+/SLb8iIlIuJk2axKuvvsrevRUz+rfCSE3S5Fy45m2wOWDDh7DgMasrEhGRauStt95ixowZJ7Rfd911+P1+mjdvXiH7VRipac65FK78l7m89FlY+Yq19YiIiPwMhZGa6LzrYdAfzOXPfw9bPrG2HhERkZ+gMFJT9b8Pev6S6Bgke5ZZXZGIiMhJKYzUVDYbXPZ3aDcCwn54/1pI/87qqkRERE6gMFKT2R1w1evQvBcU+ODdsZB1wOqqRERESlAYqelcsfCLD6DeOZC1D969CvIzra5KRKTGM2rJ8Arl8TkVRmqDuLpww1RIaATpm+H9X0Agz+qqRERqpKIZbvPyasfv2aLPeSYz+2o4+NqiTkszkLw5AlKXwUfj4dr3wFGx00KLiNQ2DoeD5ORk0tPTAYiLi8Nms1lcVfkzDIO8vDzS09NJTk7G4XCU+WcpjNQmjbvAdR/Af0bD91/AjDth9Mtg1wkyEZHy1LhxY4BoIKnJkpOTo5+3rBRGapuWfeCad+CD62Dj/yC2Dgz/m3n3jYiIlAubzUZKSgoNGzYkGAxaXU6FcblcZ3RGpIjCSG3UdiiMegmm3Q6rXjb7lFz8oNVViYjUOA6Ho1y+rGs6nZ+vrbpeDZc9bS4vnAwrX7a2HhERqbUURmqzC26Hix82lz//PXz7obX1iIhIraQwUttd9HvoNcFcnnEHbJtjbT0iIlLrKIzUdjYbDJ0MXceBEYaPboZdi62uSkREahGFETFv7R35b2g7HEIF8N9rIXWl1VWJiEgtoTAiJocLrn4LWg+EYC68dxXsX2d1VSIiUgsojEgxVwxc+19o2Rf8WebgaAc3WV2ViIjUcAojUpI7Dq77EJr2hIJMeGckHN5udVUiIlKDKYzIiTyJ5jw2jbtCXga8cyUc3Wl1VSIiUkMpjMjJxSbDjTOgQQfIToO3R0LmXqurEhGRGkhhRE4tvh7c9AnUbQO+VPMMSVaa1VWJiEgNozAiPy2xEdw8E5JbmJdq3hkJOYetrkpERGoQhRH5ed5mcPOnkNgEMrbB25crkIiISLlRGJHTU+csGD8LElPg8HcKJCIiUm4URuT01WsD4z/7USBJt7oqERGp5hRGpHSigaRJYSC5QoFERETOiMKIlF69NoWXbBRIRETkzCmMSNn8OJC8pUs2IiJSNgojUnbHB5KMbQokIiJSJgojcmaKAklS0+JAkn3I6qpERKQaURiRM1evjTkOSVEgeXM4+PZZXZWIiFQTCiNSPorusvG2gKM74I3hcHSX1VWJiEg1oDAi5aduK/jl58Vz2bw5HA5vt7oqERGp4hRGpHx5m8EtnxfP9vvWZXBwk9VViYhIFaYwIuUvsZF5yaZxV8g9DG+NgP3rrK5KRESqKIURqRjx9cxOrc3Oh4JMc7bf1BVWVyUiIlVQmcLIlClTaNWqFTExMfTo0YMlS5b85PZ+v59HHnmEli1b4vF4aNOmDW+88UaZCpZqJDYZbpwOZ/UHfxb8ZzTsXGR1VSIiUsWUOox8+OGHTJw4kUceeYT169fTv39/hg8fTmpq6infc80117BgwQJef/11tm3bxvvvv0/79u3PqHCpJjyJcN3/oM1gCObBe1fDtjlWVyUiIlWIzTAMozRv6NWrF927d+fFF1+MtnXo0IFRo0YxefLkE7afM2cO1157LTt37qRu3bplKjIrKwuv14vP5yMpKalMP0MsFvLDR7fAts/A5oBRL0K3cVZXJSIiFeh0v79LdWYkEAiwdu1ahgwZUqJ9yJAhLFu27KTvmTlzJj179uSpp56iadOmtG3blvvuu4/8/PxT7sfv95OVlVXiIdWc0wPXvA1drwUjDNN/BStesroqERGpApyl2TgjI4NwOEyjRo1KtDdq1IiDBw+e9D07d+5k6dKlxMTEMH36dDIyMrjzzjs5evToKfuNTJ48mccee6w0pUl14HCZZ0Ti6sKKKTDnAcg7AgMfBpvN6upERMQiZerAavvRF4dhGCe0FYlEIthsNt577z0uuOACLrvsMp555hneeuutU54deeihh/D5fNHH3r17y1KmVEV2Owx9Agb+wXy9+CmYfR9EItbWJSIililVGKlfvz4Oh+OEsyDp6eknnC0pkpKSQtOmTfF6vdG2Dh06YBgG+/adfP4Sj8dDUlJSiYfUIDYbXHQ/jPgHYIPVr8G02yAUsLoyERGxQKnCiNvtpkePHsybN69E+7x58+jTp89J39O3b18OHDhATk5OtG379u3Y7XaaNWtWhpKlxjj/NrjqdbC7YNNU+OAXEMi1uioREalkpb5MM2nSJF577TXeeOMNtm7dym9/+1tSU1OZMGECYF5iuemmm6LbX3fdddSrV49bbrmFLVu2sHjxYu6//35++ctfEhsbW36fRKqnzmPhug/AFQc/zId3RkHeUaurEhGRSlTqMDJu3Diee+45Hn/8cc4991wWL17M7NmzadmyJQBpaWklxhxJSEhg3rx5ZGZm0rNnT66//nquuOIKnn/++fL7FFK9nX0J3PQJxCTDvlXwxjDIVD8hEZHaotTjjFhB44zUEoe2wLtjIfsAJDSGGz6Gxl2srkpERMqoQsYZEalQjTrCbfPMGX9zDsIbw2HHV1ZXJSIiFUxhRKoWbzP45Rxo2Q8C2fDeVfDth1ZXJSIiFUhhRKqe2GS4cRp0GgORkDla65JnoOpfURQRkTJQGJGqyemBsa9D77vM1wseKxwcLWxtXSIiUu4URqTqstth6F9h2JNEB0f7300QPPW8RiIiUv0ojEjVd+EdcPWb4PDAd7Pg7SshN8PqqkREpJwojEj10Gk03DQDYrzmWCSvDYbD262uSkREyoHCiFQfLfvArfMguSUc2w2vXQI7F1pdlYiInCGFEaleGrSD27+E5r3A7zMHSVv7ttVViYjIGVAYkeonvj7cNBO6XG3e+vvpPTDvjxCJWF2ZiIiUgcKIVE+uGBjzKlz0oPn663/CRzdBIM/aukREpNQURqT6stlg4ENmKHG4Yeun8NZlkH3Q6spERKQUFEak+ut6jXnZJrYuHFgPrw6GgxutrkpERE6TwojUDC17w+0LoN45kLUPXh8KW2ZaXZWIiJwGhRGpOeq2Nmf9bX0xBHPhfzfCwifVsVVEpIpTGJGaJbYOXD8Vet1hvl44GT66Gfw51tYlIiKnpDAiNY/DCcOfhCtfALsLts6EN4bCsT1WVyYiIiehMCI1V/cbYfxnEN8QDm2CVwfC7qVWVyUiIj+iMCI1W4te8KuvIOVcyDsC74yE1a9bXZWIiBxHYURqPm8zuOVz6DzWHLH1s0kw67cQClhdmYiIoDAitYU7Dsa+DoP/BNhgzRvw9hWQlWZ1ZSIitZ7CiNQeNhv0nwS/+AA8Xti7Al65CPYss7oyEZFaTWFEap92w8x+JA07Qs4h8wzJihfBMKyuTESkVlIYkdqpXhu4bT50vsrsRzLnQZh2OwRyra5MRKTWURiR2ssdD2Nfg2FPgt0JGz+C1y6FIzusrkxEpFZRGJHazWaDC++Amz81xyNJ3wyvDIRtc6yuTESk1lAYEQFo2Qd+vRia9wK/D94fB1/+FSJhqysTEanxFEZEiiSlwM2z4IJfma8XPwXvjoGcw9bWJSJSwymMiBzP6YbLnobRr4ArDnYuhJf6aRh5EZEKpDAicjLdxsHtX0GD9pBz0Lz9d/HfIRKxujIRkRpHYUTkVBq2h9u/hG6/ACMCX/4Z3rsKcjOsrkxEpEZRGBH5Ke54GP0SjPw3OGNhxwJ4qT/sWW51ZSIiNYbCiMjpOO8G8yxJvXMg+wC8NQKWPqvLNiIi5UBhROR0NeoIv1oIXa4BIwzzHzVvAc49YnVlIiLVmsKISGl4EmDMK3DFP8Hhge/nwkt9YeciqysTEam2FEZESstmgx7j4fYFUL8tZKfBOyPNMyXhoNXViYhUOwojImXVuIt52abHeMAw+5C8MRSO7rS4MBGR6kVhRORMuOPNSzbXvAMxXti/Fl4aAN9+aHVlIiLVhsKISHnoOBImfA0t+kAgG6b/Cqb9CgqyrK5MRKTKUxgRKS/JzWH8LLj4YbDZYcOH8HJ/2LfW6spERKo0hRGR8mR3wMUPwC2fg7cFHNsNbwyBRU9DOGR1dSIiVZLNMAzD6iJ+TlZWFl6vF5/PR1JSktXliJye/EyY9VvYPM183ex8GP0y1GtjaVlSOxmGQSASIBgOEoqECBkh8/n4hxEiHAkTjJjbRIzSDepns9lw2Bw47A6cdidOmxOHzVx22B247K4Sr502Jy6HC5fdVUGfWqx2ut/fCiMiFckwYMP/YPZ94M8yZwIe+lfocYt5i7DISYQjYXJDueQEcsgJ5pz4fNxyXjCPgnABBaGC4udQAf6wn/xQPgXhAvwhPwXhAqs/1ik5bA48Do/5cHqIccTgdriJccTgcXqKlwu3iXXGEu+KJ84VR7wr3nw4zddxrjjinfEl1jvtTqs/Yq2lMCJSlWTuhRl3wO4l5utzhsCV/4LExtbWJRXOMAyyAlkcyT/CMf8xMgsyzWd/5smXCzLJDmZXSm1Ou7PE2Yrow2Y+2212bJw8NNtOEqYjRoSIESEYCRI2woQi5pmWorMwRculPeNypjwOD/GueBJcCSS5k0jyJJHkTiLRnVji9cmWE1wJ2G3q0VBWCiMiVU0kAitfhPmPQdgPsXXh8meh0yirK5MyKAoZB3MPkpGfQXpeOhn5GRzOP1zydd5hApFAmfbhsrtIdCeS4Eog3hVPojsx+lzUFueKI9YZS4wjhhhn4eO45VhHbPRsg8fhiQYOh81x0kBRGSJGJHo5KBgJ4g/78Yf85nPYHz2bc/zrQDhQ4oxPbjCX3GAueaE88zmYR26o8LlwXTBy5oMQ2m12Et2J1PHUIdmTTJ2YOtSNqUudGPN10XIdTx3zOaYOsc7YcjhKNYPCiEhVlb7VvO334Abzdddr4bKnzHFKpMoIR8Iczj9MWm4aB3IOlHhOy0njQO4B8kP5p/3zEl2J5hdYTHKJLzavx2u+LmqPScbr9pLoTsTtcFfgJ6z5guGgGUxCZjjJCeSQFcgyH/6sn132h/1l2m+MIyYaTOrE1KFeTD3qx9anQWwD6sfWp15svehyvCveslBYGRRGRKqyUAAWPWmO2mpEIKkZjJoCrS+yurJaJRgOsj9nP6nZqaRmpZZ4TstJI2T8/B1QdTx1aBDXIPrl0iDOfG4Y1zDaVj+2PjHOmEr4RFKe/GE/2YFsfH4fRwuOkunP5FjBMY4WHOVYwTGO+Y+Zz4WPo/6jhCKlu2su1hlbHFbiGlAvpl7031DRo2FcQ+rG1K2Wl4sURkSqg9SV5gBpx3abr3veCpc+Bp5ES8uqSQzD4EjBEXZk7uCHzB/Y7dsdDR1puWmEjfAp3+u0OWkU34iU+BSaJDQhJT7FfCSk0CS+CY3jGytkSJRhGOQGc6PBJLMgk6MFRzlScISM/IzoZbui17nB3NP+2U67k0ZxjWgY15BGcY3MR3zx68bxjakfW7/KddZVGBGpLvw5MO//YM0b5mtvCxj5L2h9saVlVTeGYXA4/zA7Mnew07eTHzJ/YGfmTnb4duDz+075vlhnLM0Tm9MyqWWJ5+aJzWkQ2wCH3VGJn0Jqk7xgHkfyj5BRUBxUMvIzOFJwJLpc9DD4+a9qGzbqx9Y/Iag0im9E47jGpCSk0DCuYaXeSq0wIlLd7FwIn9wNvlTzdY9bYMifdZbkJIKRILt8u/ju6HfRx7aj28gKnHz4fbvNTrOEZrRJbkMrbyvOSjqL5onNaZHUggaxDWr0NXup/oKRIEfyj3Aw9yCH8g6RnpfOodxDHMorfOQeIj0//bQuEdltdhrENoie5Wuc0Ng88xffhI71OtIgrkG51q4wIlId+bNh/qOw+jXztbe5eQtwm4GWlmWlvGAe249tZ+vRrdHg8cOxH056h4rdZqdFYgtae1vTJrkNbZLbcHby2bRMaqnLKVKjRYwIRwuOFoeTvPTo8qG8Q6TlpnEw9+BP3mH0575/ZtTZo8q1rtP9/q5aF5dEajtPIoz4hznx3id3QeYe+M8o6H4zDPkLxNTsMB6OhNnp28nGjI1sOLyBTRmb+CHzh5P264h3xdOuTjs61OtAuzrtaF+3Pa2TW+NxeCyoXMRadps92uG1U71OJ92mKLCk5aSZd4UVPQpft0hsUclVF9OZEZGqyp8DCx6DVa+Yr5OawZXPw9mDra2rHGXkZ/Bt+rdszNjIxoyNbMrYRF4o74TtGsQ2iIaODvU60L5Oe5omNq2WdxeI1Ca6TCNSU+xaAjPvKr7jptt15pDycXUtLau0DMNgX84+1h5ay7pD61iXvo49WXtO2C7WGUunep3o0qALXet3pUv9LjSKb2RBxSJyphRGRGqSQC4seBxWvgwYEFcfhj0JXa6qsnPcRIwIP2T+UBw+Dq0jPT+9xDY2bJxd5+xo6OjSoAttvG10B4tIDaEwIlIT7V0FM++Bw1vN12dfCpc/A8nWXes93t7svaxIW8GKAytYdXAVmf7MEuuddied63Wme6Pu9GjUg3MbnkuSW/9Pi9RUCiMiNVUoAF8/B4ufhnAAXPEw6A/Q69dQyWcUjhUcY+XBlaw4sIIVaSvYn7O/xPpYZyznNjg3Gj461++seTtEahGFEZGa7vB2+PReSF1mvm7S3ezg2rhLhe0yHAmzMWMji/ctZun+pWw9urXEeqfNSdcGXbmwyYX0TulNp/qdKnWAJRGpWhRGRGqDSATWvQ3z/gR+H9id0OduuOgBcJXPGYjMgkyWHljKkn1L+PrA1yeMZnpOnXO4MOVCLky5kJ6NehLniiuX/YpI9acwIlKbZB+E2ffD1pnm6zqt4LK/wzmXlPpHGYbB9mPbWbRvEUv2LWFDxgYiRiS6PtGdSL8m/ejfrD+9m/Smfmz98voUIlLDKIyI1EbffQaf3QfZB8zXHa6EYZPB2+wn3xYxImw4vIEFqQuYv2c++3L2lVh/Tp1zGNB0AAOaDaBrg65VbjIuEamaFEZEait/Nix8Ela8CEbY7OB68YNw4R3gKO6/EYwEWXNwDQtSF/Bl6pcczj8cXedxeOid0pv+zfozoNkAGsc3tuKTiEg1pzAiUtsd2gyzJsHeFebrhh0JDn+K5S6DL3Z/wcK9C0tMLJfgSmBAswFc0vIS+jbpq74fInLGFEZEBCIRwt+8y7pFjzPbGWJefBw+R/Htv3Vj6jKw+UAGtxhMr5ReuB1uC4sVkZrmdL+/yzSxw5QpU2jVqhUxMTH06NGDJUuWnNb7vv76a5xOJ+eee25Zdisip8kwDDZlbOKptX9nyA9v88u6sXyclIjP4aBeKMx1uX7ePOtqvhw7n0f7PEr/Zv0VRETEMqXuhfbhhx8yceJEpkyZQt++fXn55ZcZPnw4W7ZsoUWLU48C6fP5uOmmmxg8eDCHDh06o6JF5OT2Ze/j0x2fMmvnLFKzU6Ptia5ELml5CcMTWnP+8ldxpm+C9H/Ati9h+NPQ/HwLqxaR2q7Ul2l69epF9+7defHFF6NtHTp0YNSoUUyePPmU77v22ms555xzcDgczJgxg2+++ea096nLNCKnlhfMY37qfGb8MIPVB1dH22McMVzc/GKGtxpOv6b9is98hEOw+jX48i8QyDbbuv0CLnkUEtVRVUTKz+l+f5fqzEggEGDt2rU8+OCDJdqHDBnCsmXLTvm+N998kx07dvDuu+/yl7/85Wf34/f78fv90ddZWVk/sbVI7WMYBuvS1zHjhxnM3T2XvFAeYE481yulF1e2uZLBLQafvBOqwwkXToBOo83J9755F759H7Z+CgPuN++6cXoq+ROJSG1WqjCSkZFBOBymUaOS03k3atSIgwcPnvQ933//PQ8++CBLlizB6Ty93U2ePJnHHnusNKWJ1AoZ+RlM/34603+Yzt7svdH25onNGdlmJFe2uZKUhJTT+2GJjWDUv6HnL+Hz38P+NTD/T7DuHXNG4LZDKuhTiIiUVKaRi2w/mrLcMIwT2gDC4TDXXXcdjz32GG3btj3tn//QQw8xadKk6OusrCyaN29ellJFqj3DMFh1cBX/2/Y/vkz9kpARAiDOGcfQs4Yy8uyRdG/Y/aT/D56WZj3g1nmw4QNzWPmjO+C/V8M5Q2DoZKh/djl+GhGRE5UqjNSvXx+Hw3HCWZD09PQTzpYAZGdns2bNGtavX89dd90FQCQSwTAMnE4nc+fOZdCgQSe8z+Px4PHoNLHUbj6/j09++ISPtn/E7qzd0fauDbpyddurGdJySPmNBWK3w7nXQfvLzdmAV7wI38+FHV+Zl20G3A8x6q8lIhWjVGHE7XbTo0cP5s2bx+jRo6Pt8+bNY+TIkSdsn5SUxMaNG0u0TZkyhS+//JKPP/6YVq1albFskZprw+ENfLjtQ77Y/QX+sNl3Ks4Zx+WtL+fqdlfTvm77itt5TBIM+TN0vxm+eMgMJMueN/uUDHwYzrvJ7HMiIlKOSv1bZdKkSdx444307NmT3r1788orr5CamsqECRMA8xLL/v37eeedd7Db7XTu3LnE+xs2bEhMTMwJ7SK1WTASZMGeBfxn63/YcHhDtL1dnXZc0+4aRrQeQbwrvvIKqn82XP8RbP8C5jxkXrqZ9VtY+QoM+UuZJuATETmVUoeRcePGceTIER5//HHS0tLo3Lkzs2fPpmXLlgCkpaWRmpr6Mz9FRMC8FPPx9o95/7v3OZRnjr/jsrsY3mo417S7hq71u5a9L0h5aDsUWg+ENW/Aoifh8FZ4byy0GWSGkkadrKtNRGoMDQcvYoGdvp28t+U9Zu6YSUG4ADCHZr+23bVc3e5q6sfWt7jCk8g/Bov/DitfhkgQbHY470YY+Ih5Z46IyI9obhqRKmh9+npe3/g6i/Ytira1q9OOGzrewGWtLqseQ7If3QnzH4Utn5iv3QnQdyL0/g24NbmeiBRTGBGpIgzDYMn+Jby+8XXWpa8DzMHJLm5+MTd2vJGejXpaeymmrFJXwBcPw/615uukpjDo/6DrNWB3/PR7RaRWUBgRsVgoEmLO7jm8sekNvj/2PWD2B7myzZWM7zSes7xnWVtgeYhEYPM080yJr3AQtoad4JI/meOUVMeQJVILnWq8sDOlMCJiEX/Yz7Tvp/H25rfZn7MfMG/NHdduHDd0vIGGcQ0trrACBAtg5Yuw5Fnw+8y2Fn3g0seg+QXW1iYip+TfuQvfjBn4Pv2Ulv/5D+5mTcv15yuMiFQyf9jP1O1TeX3j66TnpwNmp9QbOtzANe2uwevxWlxhJcg7CkufhVWvQMjsmEu7ETD4j9CwAsdHEZHTFvb5yJo9m8wZMyj4tngogQYTJ1J/wq/LdV8KIyKV5GQhpHF8Y27pdAujzxlNrDPW4got4NsPCyfDN++BETHvvOl2HQx8CLzNrK5OpNYxQiFyli7FN+MTchYswAgGzRUOBwn9+uEdPZqEQQOxu8u3E73CiEgFK7oc89rG10jPM0NIo7hG3N7ldkafM7p63BlT0Q5vM2cG/m6W+drhgQtuh/6/g7i61tYmUgsUbNsevQwTzsiItnvatsU7ejTey0fgbNCgwvavMCJSQYKRINO2T+OVja8ohJyuvavNTq57lpqvPUnQ+y5z3hvNeSNSrkJHj5I1axaZM2bg37I12u6oW5eky0eQPGoUng4dKuUuPoURkXIWMSJ8sfsL/rX+X+zNNu8caRjXkNu73M6Yc8YohPwcw4Af5sP8x+BQ4ZxVsXWgzz1wwa/Ak2BtfSLVmBEIkL1okXkZZtEiCJmze+NykXjxxXhHjyKhf39sLlel1qUwIlKOlh1YxnNrn2PrUfOvjLoxdflV119xVdur8Dg0w3SpRCKwZTosfBIytpttcfWh32/h/FvBVQv72IiUgWEYFGzegm/GDLJmzSKcmRldF9O5M95Ro0gacRnOOnUsq1FhRKQcbM7YzLPrnmVl2koA4l3xjO80nps63kScS6ONnpFIGDZ+ZIaSY7vMtoTGZn+SHjeDUyFP5GRChw/jm/kpvhnT8X//Q7Td2aABSVdeYV6GOeccCysspjAicgZSs1L557p/MnfPXMAcrGxcu3Hc3vV26sao42W5Cgfh2/dh0VPFA6clNYMB98F5N4Cjck8ri1RFRiBA9sKF+KZNJ2fJEgiHAbC53SRecgne0aOI790bm7PU899WKIURkTLICmTxyrev8N537xGKhLBh4/LWl/Ob835D04TyHQxIfiQUgPXvwOJ/QPYBsy25JVz0AHQdB46q9UtWpDIUbN1K5rTpZH36aYnLMLHnnot39GiShg/DUYW/FxVGREohFAkx7ftpvLD+BY75jwHQt0lfftvjt7Sr287i6mqZYAGsfROWPAO55t1K1DkL+k2Cbr8ApzoKS80WOnaMrE9nkTl9Ov6txXfDOBs0wDtqJN7Ro/G0bm1hhadPYUTkNC0/sJynVj/FD5nmtddW3lbc3/N++jfrb3FltVwgF1a/Bl8/D3mF4yN4m0Pfe+G8G8EVY219IuXICIXIWbIE37TpZC9cCIWDktlcLhIGDyZ5zGji+/Spcpdhfo7CiMjP2JO1h7+v/jsL9y0EwOvxcme3O7m63dW47OqnUGUEcmHtW/D1PyHnkNmWmGKGku43g1sdiaX68u/YQea0afhmziR8uHhQsphOnczLMBbfDXOmFEZETiE/lM+rG17lzc1vEoqEcNqcXNv+WiZ0m1A75o+proL5sO4/8PVzkGVOQEh8A+hzN/S8VeOUSLURzsoy54aZNp2CDcVzwzjq1sV7xRV4x4wmpl3NuDysMCLyI4Zh8NXer/jbqr9xINfsINm3aV9+f/7vae2tHtdfBQj54Zv/wtJnIDPVbIutC73vNAdPi1GglKrHCIfJXbHCvAwzfz6G32+ucDpJuOgikkePImHAAGzlPDeM1RRGRI6zN3svT656ksX7FgOQEp/CA+c/wKAWgyplSGSpAOEgbPgfLPkHHN1htnm8cMFt0GsCJDS0tj4RILBnD5nTp+P7ZCahtLRou+ecc/COGYP3istx1q9vYYUVS2FEBHMyuzc2vcHrG1/HH/bjtDsZ32k8t3e5XYOW1RThEGyeDoufhoxtZpvDY45R0uduqNvK2vqk1gnn5JL9xRdkTp9G/pq10Xa714t3xAi8o0cT07lTrfhDSGFEar1Vaat4bPljpGabp/J7pfTi4V4P65JMTRWJwLbZsPRZ2L/GbLPZodNo6DsRUrpaWp7UbEYkQt6aNfimTSdr7lyMvDxzhd1OfN++JI8ZTcKgQdg9tWtkYYURqbV8fh/PrH2Gad9PA6BhbEPuP/9+hp41tFb8JVLrGQbs+doMJT/ML25vM9ic/+asfqB/B1JOgvv3kzljBr4ZnxDcuzfa7j7rLPMyzMgrcTVqZGGF1lIYkVrHMAzm7ZnHEyuf4EjBEQDGtRvHxO4TSXDrTotaKW2DeUvw5mlgRMy2pj3MUNJuBNjt1tYn1VIkP5/s+fPJnDaNvBUrzQAM2OPjSbpsON7RY4g971z98YPCiNQyh3IP8deVf+WrvV8B5sBlj/Z+lO6NultcmVQJR3fB8hdg/bsQKjDb6p0DvX8D3a7VTMHyswzDoODbb8mcOo2szz8nkpMTXRd34YUkjxlN4qWXYo/Vv6XjKYxIrRAxIny8/WOeXfssOcEcnDYnt3a5ldu73o7HUbuuzcppyDkMK1+C1a9Cgc9si6tnjlNy/m2QWHtPp8vJhTIy8H0yk8xp0wjs2BFtdzVtinf0aLyjRuFupnmrTkVhRGq8tJw0/m/Z/7EybSUAXet35U99/kTbOm0trkyqPH+2OYDaihfBVzhWicMNXa4xz5Y06mhtfWKpoqHZM6dOJWfhIgiFALDFxpI0ZAjeMWOIO78nNl3m+1kKI1JjGYbBjB9m8NTqp8gJ5hDjiOGe7vdwXfvrcNgdVpcn1Uk4BN/NguX/hn2ritvbDDJDSZvB6uxai/h37cI3bTq+GTMIHT4cbY/p1pXksWNJuuwyHAnqf1YaCiNSIx3OO8xjyx9j0b5FAHRr0I2/9vsrLZNaWlyZVHt7V5mhZOvM4s6uDdqboaTLNZqYr4aK5OWR9cVcMqd+XGJMEEedOnhHjiR57Bg855xjYYXVm8KI1Dhzds3hLyv/gs/vw2V3cdd5d3Fzx5t1NkTK17E9sPJlWPcOBLLNtrj6Zp+SnrdAYmNr65MzVqIz6uzZRHJzzRV2O/H9+5E8diyJF19c44Zmt4LCiNQYmQWZ/HnFn5m7Zy4AHep24K/9/so5dfTXilSgAp/Zr2TlS+ArHD/C7oKOI6HXr6HZ+bqEU82Ejhwp7Iw6lcAPx3VGbdGC5DFj8I4eVavHBKkICiNSI6xIW8HDSx7mcP5hnDYnv+r6K27rehsuu8vq0qS2CIdg6yfm2ZK9K4vbU7rBBb+GzmN1CacKM0IhcpYuxTd1GtlffVXcGTUmhqShQ/GOHUPc+edrTJAKojAi1VowHORf3/yLtza9hYFBK28rJvefTKd6nawuTWqzA9/Aqldh40cQLpx1NbYu9LjZvD04ubml5UmxwJ49ZE6dZnZGTU+Ptsd07UrymDEkjbgMR2KihRXWDgojUm3t9u3mgSUPsOXIFgCubns1959/P7FODSYkVUTuEVj3Nqx+HbL2mW02O7QfYZ4t0ZDzlojk55P1xRf4pk4jb/XqaLujTh28V16Jd+wYYtrq1v/KpDAi1U7RLbuTV00mP5SP1+Plsd6PMbjlYKtLEzm5cAi2f25ewtm9pLi9YUezw2vXa8Cjv74rkmEYFGzcSObHU8n67LOSnVH79SV57FUkDlRnVKsojEi14vP7+POKP/PF7i8AuKDxBTzR7wkaxaszmVQTh7aYI7t++wEEC2dsdSdAl6ug5y/NPiZSbkJHj+KbORPf1Kn4v/8h2u5q3pzksWPwjhqFq7HufLKawohUG5syNvG7hb/jQO4BnDYnvznvN9zS6RbdsivVU34mfPNfWPMGHPm+uL1JdzOUdB4D7njLyqvOjHCY3KVLySzqjBoMAmDzeEgcOoTksVdpZNQqRmFEqjzDMHj/u/d5es3ThCIhmiU046kBT9GlQRerSxM5c4YBu5fC2jdhy0yImF+ceJLMyfl63KJh509TIDWVzGnT8E2fQejQoWh7TJcuJI8dQ9KIEeqMWkUpjEiVlhPI4U/L/hQdO+SSFpfweN/HSXTrF4rUQDmH4Zv3YO1bcGxXcXvzC82B1DqO0u3BPxLJzyd77lwyp04jb1XxUP2O5GSSrryC5LFXEdNOnVGrOoURqbK2Hd3G7xb9jj1Ze3DanPyu5++4vsP1us9far5IBHYthDVvwnefgRE222PrQLfroPuN0LCDpSVayTAMCjZtKu6MmpNjrrDZiO/Xj+SxY0gYNAi7OqNWGwojUuUYhsG076cxedVk/GE/jeMb8/eL/k63BurYJ7VQ9kFY/x9Y+3bxCK8ATXvAeTeag6nF1I7fd6Fjx8iaOZPMqdPwb98ebXc1a4Z3zGiSR4/GlZJiYYVSVgojUqX4w37+suIvzPhhBgD9m/bniX5PkByTbGldIpaLhOGHBea4JdvnQMQcIRRXnHn55rwboGWfGjduiREOk7tsGZkfTyX7yy9LdkYdMoTksWOIu+ACdUat5hRGpMo4mHuQiV9NZPORzdhtdu4+725+2fmX2G36JSNSQk66eWvw+v9ARvEZAuq2MUNJt19AUvU+QxDYu7e4M+rBg9H2mE6dSL5qrNkZVb/nawyFEakSVh9czX2L7uNowVG8Hi9PD3ia3k16W12WSNVmGLBvtTlz8ObpECjqO+GAcy41L+O0HQqO6jFHU6SggOx588j8eCp5K4vn93F4vSRdeSXJY8cQ0769hRVKRVEYEUsZhsF/v/svT69+mrARpn3d9jx78bM0S2xmdWki1Ys/B7bMgPXvQury4vb4BtDlavM24cZdq9xlHLMz6mYyp00la9ZnRLKzzRU2G/F9+pB81VgSBg9WZ9QaTmFELFMQKuDPK/7MzB0zAbis1WU82udRzS0jcqYyvjcv4XzzPuQWT/5Ggw5mKOl6DSQ1sa4+CjujfjqLzKlT8W/bFm13NW1a3Bm1ibU1SuVRGBFLHMw9yL1f3cuWI1tw2BxM6jGJGzveqNt2RcpTOAg7voRv34fvZhfPIIwNWl9s9i3pcHmljfRqdkZdTua0qeTMX4BR1BnV7S7ujNqrlzqj1kIKI1LpNh7eyD1f3UNGfgZ1PHV4+qKn6ZXSy+qyRGq2/EzzMs63H5S8jOOKh45XmmdMzuoPFTC9QmDfPnzTppM5fTqhtLRoe0zHjnivGot3xAgcXm+571eqD4URqVRzds3hD1//AX/Yz9nJZ/PC4BdomtDU6rJEapeju2DD/8wzJseP9JrUtLh/yRkOqhbx+8meN5/MqR+Tt3xFtN3u9eK94gqzM2qH2jtwm5SkMCKVwjAMXvr2JaZ8OwWAAc0G8NSAp4h3aSIwEcsYBuxdZYaSzdOgwFe8rmEncybhzmOhTsvT/pEFW7eS+fFUfLNmEfEV/jybjfjevfGOHUPiJZdg93jK+YNIdacwIhWuIFTAH7/+I5/v/hyAmzrexKQekzTbrkhVEiwwB1P79gP4YX7xhH0AzS4wg0mn0ZDQ8IS3hn0+fLMKO6Nu2RptdzZJIXn0GLyjR+NupjOgcmoKI1KhMvIzuPfLe9mQsQGnzckfLvwDY9uOtbosEfkpeUdh60zY+LE5ozCFv/5tdmh1EXS5CqPdCPK+/Y7MqdPInjsXIxAwN3G5SLhkMMljryK+94XYHPqjQ36ewohUmB+O/cAdC+7gYO5BktxJPHvxs1yQcoHVZYlIaWSlmQOqbfoY9q8lmGsnc1ccvt3xBHOKg4anXTuSx44l6YrLcdapY2HBUh2d7ve3sxJrkhpg9cHV3PvlvWQHszkr6SxeGPwCLZNO/7qziFQRSSkYPW4j29eGzK//Q+7KtdETJXZXhKSW+SS3NYjpUx9b57qQoHGCpOIojMhp+3zX5zyy9BGCkSDnNTyP5wc+r4nuRKqhgu3b8U2dim/mp4SPHYu2x11wAcmXXEBi/TTs2z4BXyps+sh8uBOh3TDoOBLOvgRcCidSfnSZRn6WYRi8tfktnln7DACXtryUJ/o9QYwzxuLKROR0hXNyyPpsNplTp1KwYUO03dmwId7Ro0keMxp3y+POchbdkbNlBmz5BLL2F69zJ5hz43QcCWdfCu64yvsgUq2oz4iUi3AkzN9W/433v3sfgBs63MB9Pe/THTMi1YBhGOSvWUPmx1PJ+uILjIICc4XTSeLAgXjHjiGhXz9szp85SR6JwP61xcHEt7d4nSse2g4xg8k5Qypt1FepHhRG5IwVhAp4YPEDfLn3SwDu73k/N3W6yeKqROTnBNPT8c34BN/UqQT27Im2u9u0IXnsWLwjr8RZr17ZfrhhwP51sGW6GUwyU4vXOWPNWYU7jTKDiSfxzD6IVHsKI3JGfH4fdy24i28Of4PL7uKJ/k8w7KxhVpclIqdgBIPkLFpE5sdTyVmyBMJhAOxxcSReNpzksWOJPffc8p0nyjDgwPriMybHdhevc7jNeXLaXw7thp90HBOp+RRGpMwO5x3m1/N/zffHvifRncjzA5+nZ+OeVpclIifh37mTzKlT8X0yk3BGRrQ9tnt385bcYUOxx1fCpRPDgLRvzVCy5RM4uuO4lTZo3gvajzAf9dpUfD1SJSiMSJnszd7Lr+b+in05+6gfW5+XLnmJdnXbWV2WiBwnkptL1pw5ZE6dRv66ddF2R716eEeNJHnsWDytW1tXoGHA4W3w3Sz47jM4sK7k+oYdi4NJyrmgWb1rLIURKbXvj33Pr+f9msP5h2mW0IxXLn2F5knNrS5LRCjsjPrNN2ROnUr27M+J5OWZKxwOEgYMIPmqsSQMGIDN5bK20JPx7YNtn5vhZPdSiISK1yU1g/aXmZdzWvYBRxWsX8pMYURK5dvD33Ln/DvJCmRxdvLZvHLpKzSIa2B1WSK1XujIEXwzPiFz2jQCO4ovfbhbtsQ7dizekSNxNapG/THyj8H382Drp/DDAgjmFq+LSTY7wLYdBmcPhliN+FrdKYzIaVt2YBkTv5pIfiifbg268e/B/8br8VpdlkitZYRC5Cxdim/qVLK/Wggh80yCLSaGpKFDSb5qLLE9e5ZvZ1QrBPNh5yL47lPzzEnekeJ1Nge0uNAcz6TtMKjfVpdzqiGFETkt8/bM4/eLf08oEqJPkz48e/GzxLk0gJGIFQJ79pA5bTq+6dMJpadH22O6djU7o464DEdCgoUVVqBI2Bxkbfsc2P4FHN5acn2ds8xQ0nYotOwLTo8lZUrpVGgYmTJlCk8//TRpaWl06tSJ5557jv79+59022nTpvHiiy/yzTff4Pf76dSpE48++ihDhw4t9w8jpfPZzs94ZOkjhI0wQ88ayuR+k3Hpeq1IpYrk55M9dy6ZH08lb/XqaLsjORnvyCvxjh1LTNu2FlZokWO7YftcM5zsXgLhQPE6dwK0GWiGk3OG6LbhKqzCwsiHH37IjTfeyJQpU+jbty8vv/wyr732Glu2bKFFixYnbD9x4kSaNGnCwIEDSU5O5s033+Tvf/87K1eu5LzzzivXDyOn75MfPuH/vv4/DAxGthnJY30e06iqIpXEMAwKvv2WzGnTyZo9m0hOjrnCZiO+Xz+Sx44lcdBAbG63tYVWFf4c2LnQDCbfz4WcQyXXN+1hDkt/9iXQtDvod1mVUWFhpFevXnTv3p0XX3wx2tahQwdGjRrF5MmTT+tndOrUiXHjxvHHP/7xtLZXGClfH2//mMeXP46BwdVtr+YPF/4Bu81udVkiNV7o8GF8M2eSOW16ic6orqZN8Y4dQ/Lo0bhSUiyssBqIRCDtG/NSzvY55vLxYpKhzSAzmJw9GBIbW1CkFDnd7+9SzdobCARYu3YtDz74YIn2IUOGsGzZstP6GZFIhOzsbOrWrXvKbfx+P36/P/o6KyurNGXKT3j/u/d5YuUTAFzX/joevODB6t8JTqQKMwIBshctwjdtOjmLF0dHRjU7ow7BO3oMcRecj82uPwhOi91unv1o2h0GPgRZaebZkh0LYMdCKMiEzdPMB0CjLmYoOfsSc+A1p842VUWlCiMZGRmEw2EaNWpUor1Ro0YcPHjwtH7GP/7xD3Jzc7nmmmtOuc3kyZN57LHHSlOanIa3N7/N39f8HYDxncYzqcckBRGRClKwbTu+adPwffop4aNHo+2x556Ld8xokoYPx5GouVvOWFIK9LjZfIRDsH8N/DDffBxYD4c2mo+vnzP7mrS6CM4uPHNS5yyrq5dCpQojRX78BWYYxml9qb3//vs8+uijfPLJJzRseOoORw899BCTJk2Kvs7KyqJ5cw2+dSZe2/ga/1z3TwBu73I7d593t4KISDkL+3xkzZ5N5tRpFGzaFG13NKhP8siReEePxtNGQ6FXGIfTvB24xYUw6A+Qcxh2flUYThZAXgZs+8x8ANQ7G9oMNufQOasvxGhIA6uUKozUr18fh8NxwlmQ9PT0E86W/NiHH37IrbfeykcffcQll1zyk9t6PB48Ht22VV5e3fAqz69/HoA7z72TCV0nKIiIlBMjHCZ3xQp8U6eRPX8+RqDwrg+nk8SBA/GOGU1C//7YnGX620/OREID6HqN+YhE4OCG4mCydyUc+cF8rHrZHNekaQ8zmLS+GJqdr0s6lahMHVh79OjBlClTom0dO3Zk5MiRp+zA+v777/PLX/6S999/n1GjRpW6SHVgLbs3N73JM2ufAeDe7vdyW5fbLK5IpGYIpKaSOX06vhmfEEpLi7Z72rYleewYkq64AudP9I0TixX4zDt0ih5Hd5Zc74o3h6cvCieNOmnQtTKokA6sAJMmTeLGG2+kZ8+e9O7dm1deeYXU1FQmTJgAmJdY9u/fzzvvvAOYQeSmm27in//8JxdeeGH0rEpsbCxer06JVaT/bPlPNIjcde5dCiIiZyiSl0fW3Ln4pk4rMSaIPSkJ7+Uj8I4ZS0ynjjrzWB3EeKHjSPMBkJlqjgZbFE7yMuCHeeYDIL6B2d+kKJwkq+tAeSrzoGdPPfUUaWlpdO7cmWeffZYBAwYAMH78eHbv3s3ChQsBuPjii1m0aNEJP+Pmm2/mrbfeOq396cxI6R1/18yEbhP4zbm/sbgikerJMAzy139D5rSpZH8+h0hu4VwqNhvxffqQPHYMCYMHY9el5ZojEoH0LcXBZM/XEMwruU3dNtD6IjirH7TsB4k/3VWhttJw8LXYR9s/4vHljwNwa+dbubf7vfpLTaSUgofS8c38BN+06QR27Yq2u1q0IHnMaHOCOo0JUjuEArBvdXE42b8WjHDJbeq3NYPJWf3NZ40KCyiM1FrTv5/OH5eZg8nd3PFmftfzdwoiIqfJCATI/mohvmnTyFmyxPwLGbDFxpoT1I0dUzMmqJMzU+CD3V/D7qXmUPUHNwI/+iqt364wnPSr1eFEYaQW+nTHpzyy9BEMDK7vcD0PnP+AfmmK/AzDMPBv3UrmjBlkzfyUcGZmdF1s9+4kjx1D4tBhOBLirStSqra8o5C6/LhwsgmFE5PCSC0zf898frfod0SMCOPajeORXo8oiIj8hNDhw/g+nYVvxgz827dH250NG+IdORLvmNF4WrWysEKptk43nLTsDS16m+OiJLeskXfrKIzUIssPLOc3C35DMBJk9NmjebTPo5prRuQkIn4/OV99hW/6DHKWLi0emt3tJmHwIJJHjSK+b1+NCSLlK+8o7FlWGE6WmiPC/lhiEzOUtOxjPjfsWCMm/FMYqSW+Pfwtt8+9nfxQPpe2vJSnBzyt2XdFjmMYBgUbNpiXYWZ/TsTni66L7dYN7+hR5tDsGmpAKkveUUhdAanLzOcD6yESKrmNxwvNLyg+e9KkO7hirKn3DCiM1ALbj21n/JzxZAey6dOkD/8a9C/cDo0YKAIQPHgQ38xP8c2YQWBn8YBWzsaNzcswI0fiaa3LMFIFBPLMO3RSl5uPvasgkFNyG4fbDCRFZ0+aXwCxdayptxQURmq4vVl7uWnOTWTkZ9CtQTdeufQV4lxxVpclYqlIfj7Z8xfgmz6d3OXLofDXmy0mhsQhl5I8ahRxvXphc+jsoVRh4RAc2lR89mTPcshNP3G7+m2h2QXQ/HzzuUG7KndpR2GkBkvPS+emz29if85+2tZpyxtD38Dr0SlmqZ0MwyB/3Toyp08vOSgZENezJ97Ro0gcOhRHQoKFVYqcAcMwh6s/Ppwc3XHidp4kaNq9MKBcAM16Wn72RGGkhsosyGT8nPHs8O2gRWIL3h7+NvVj61tdlkilC+zbj++TGfg+mUkwNTXa7mrWzLwMM2okbs32LTVV7hFzILZ9q8zLOvvXQTD3xO1OOHvSHuyVd4ODwkgNlBfM47a5t7ExYyMN4xryzvB3aJrQ1OqyRCpNJDeXrC/m4psxg7xVq6Lt9rg4EocNI3n0KGJ79MBWib9sRaqEcMgcwn7fKti72gwqP3f2pFlPc6bi+Ir7g1ZhpIYJRULc+9W9LN63GK/Hy9vD3qZNchuryxKpcEY4TN7Klfg+mUnW3LkY+fnmCpuN+N4X4h01isRLLsEepz5TIiWc7tmTOmeZoaTnrXBW33ItocJm7ZXKZxgGf1nxFxbvW4zH4eGFQS8oiEiNV7BtG76ZM8n6dBah9OLOe+6zzsI7ahTekVdqbhiRnxJfD9oNMx9w3NmT1bBvDexfAxnb4dhu89F+hGWlKoxUAy99+xJTv5+K3WbnqQFPcW7Dc60uSaRCBA+lkzVrFr6ZM/Fv2xZtt3u9JA0fRvKoUcR066bRhUXKwuGElK7m4/xbzbb8THOck/1roEUfy0pTGKnipm6fypRvpwDwSK9HGNRikMUViZSvSG4uWfPmkTVzJrnLVxTfjutykXDxxXhHXkn8gAHY3RpDR6TcxSZDm4Hmw0IKI1XY4n2L+fOKPwNwe5fbuabdNRZXJFI+jFCI3OUr8M2cSfb8+cX9QIDYHj3wXnEFScOG4khOtq5IEak0CiNV1MbDG7lv0X2EjTBXtrmSu8+72+qSRM5I0ey4vk9m4pv9GeHDGdF17pYtSRp5Jd4rrtDtuCK1kMJIFZSalcpvFvyG/FA+fZv05dE+j+oauVRbwbQ0fJ/OIuvTmfi//yHa7qhTh6TLLsN75RXEdO2qf+MitZjCSBWTWZDJHfPv4Jj/GB3qduCZi5/BZXdZXZZIqYRzcsj+Yi6+mTPN8UCK+oG43SQMGoT3yitJ6N8Pm0v/tkVEYaRKCYaDTFw4kdTsVJrEN2HKJVM034xUG5FAgNwlS/DNmkXOl19h+P3RdXHnn4935JXmsOyJiRZWKSJVkcJIFWEYBo8uf5S1h9YS74rnhcEvaJh3qfKMcJi81avJ+uwzsr6YSyQrK7rO3bo13iuvxHvF5biaaqRgETk1hZEq4rWNrzFzx0wcNgf/uOgfnFPnHKtLEjkpwzAo2LSZrFmzyJo9m9Dhw9F1zoYNSRoxgqQRI4jp1FH9QETktCiMVAFf7P6C59c/D8BDFzxE36blOxyvSHnw79xlBpDPPiOwZ0+03e71kjRkCEmXX05czx7YHFVrCnMRqfoURiy24fAGHln6CAA3dLiBce3HWVyRSLHgwYNkzf6crFmzKNiyJdpui4khcdAgki6/nIR+fbFpQDIROQMKIxY6kHOAe768B3/Yz4BmA7iv531WlyRCODOTrC/mkvXZZ+StXh29Ewank/i+ffBefjmJgwZhj4+3tlARqTEURiySG8zlri/v4kjBEdrVacdTA57CYdfpbbFGJC+P7K++ImvWZ+QsXQrBYHRdbM8eZgAZOhRnnToWVikiNZXCiAUiRoRHlj7C98e+p35sfV4Y/ALxLv2VKZUrUlBAzqLFZH3+OTkLF2IUFETXedq3x3v5CJIuuwxXkyYWVikitYHCiAVe+vYlFqQuwGV38dzA52gc39jqkqSWiPj95C5dStbsz8n+6iuMvLzoOlfz5iRdPgLviBF4zj7bwipFpLZRGKlk8/fM58VvXwTgj73/SLcG3SyuSGo6IxAg5+uvyZ4zh+wFXxLJyYmuczVpQuLwYSQNv0y34oqIZRRGKtH2Y9t5eOnDgHnnzKizR1lbkNRYRjBI7ooVZH0+h+z580sMRuZs1IikYcNIumy45oQRkSqhVoeRP8zYyNzNh7DZwG6zYbfZjlvmR6/NZdtx6+w2cNhtuBz2wocNp8OO22HH6bBF21wOO2FyWZD1MPmRfJp4uhCXM4pXFu/A7bAT43IUPux4nA48rsK2Esvms8dpx+mwW33opAoyQiHyVq0i6/PPyZ47j7DPF13naFCfpKFmAIk991xsdv0bEpGqo1aHEV9+iPRs/89veMbCxLZ4A2d8OpFAXbZtH8W28A8//7ZTcNpt0WAS4zIDS7zbSazbQbzbQZzHaT67ncS5HcR7Cp/dTuI8DuIK15342qGgU80YoRB5a9aQNWeOGUCOHo2uc9StS+LQISQNH05cDw1GJiJVl80wigYRqLqysrLwer34fD6SkpLK7efuO5aHLz+IYZhDKUQMo/BhDnl9sueibQwgEjEIRQyC4QihsPkcDBuEIhECoYi5LhRhybHX2Jo7G6cthosT/0wcTaPbBkIR/KEwBcEIBcEwBaEw/mCEguPa/CHz51UGt9NOgsdJgsdJYkzRs4vEmOLXCTGFbT+xjUJNxTECAXJXriR77lyy5y8gfOxYdJ0jOZnESy8l6bLhxJ1/PjZnrf57Q0Qsdrrf37X6N1WzOnE0q+BhEz754RO27psNwN8vfpLBLQaX6edEIgb+UHE4KQouRYElPxAmNxAiLxAmzx8iNxAmL/r6uHWFz7n+otfmcihiZtJAKMLRUICjuYEz+tyxLkdhaHGSWBhgkmJcJMW48Ma58Ma6SIpxkhRbuFz4bLa7cDsVZo4XKSgg9+uvzQDy5VdEsrOj6xxeLwmXDCZp2HDiL+yFzeWysFIRkdKr1WGkon139Dv+vOLPANzR7Y4yBxEAu91GrNtBrLtiTrUHQhHyAmaIyfWHyC4IkV0QJKdwOafwdfbxr/3BwufitvxgGID8YJj8YJjDZbwMFutyFIeTWGeJwJIUc1xwOT7EFG4X63LUiE6ZkdxcchYvJmvuXHIWLS5xG66jfn0SLxlM0tChOgMiItWefoNVEJ/fx8SvJuIP++nftD8Tuk2wuqSf5HbacTvdJMed2c8JhiPHhZmSgSarIEhWfhBffpCs/BC+wmVffpCsAvM5uyAEFIeZg1kFP7PHE7kcNryxbpLjXNSJc5VYTo4zl5ML25IL2+rEVY0QE87OJuerr8iaO5fcJUsx/MVhzpmSQuKll5A0ZAix552nPiAiUmMojFSAiBHh4aUPsz9nP00TmjK5/2Tsttpx2cHlsBd+4Zdt4rRwxCCn4ORBJfq6xLpQidfhiEEwbJCR4ycjp3RnZdwOO96i0PKjsFIUYOrEmZeZkmPd1Ik3n8/0bFXo6FFyvvzSDCDLV5QYit3VvDlJQ4eQOGQIMV26WB6WREQqgsJIBXhlwyss3rcYj8PDsxc/i9fjtbqkasNht5l9SuJK3+/BMAzyAmF8+UEy84Jk5gfM5xLLAY7lBfEVth0rbAuGDQLhCIez/aW+tORx2k8421Inzl0cWn4UaurEuYnPSMP/1Vdkf/kl+evXQ6S4g7K7TRsSh1xK0pAheNq3VwARkRpPYaScfb3/a6Z8MwWAP1z4BzrU62BxRbWHzWYj3uMk3uOkSXLsab+vKMRk5gc5lhuIhpljeebysdwAmUUBJ69o2Qw3ocKOxYey/BzKOnWIsRkRzsncR++0TfRO20zL7EMl1h9s0ILdnS4g/bw+2M9qZYaZXBd1tqZTJ9681FSnsOOv7lQSkZpGYaQc7c/ZzwNLHsDA4Kq2V2mE1Wri+BDTtJQhJjcQjgaYY4UBJTM/SGZugKzsPGI3rydl4ypaf7+OpNziQchCNjsb67dhReNOrEjpSHpcXXPFrgjs2vGT+02McVInruiSkflcJ86NN9a8xFQnvmjZHT1DkxTj1BkWEamyFEbKiT/sZ9LCSfj8PjrX68xDFzxkdUlSwWw2W3RMluaFbWGfj5zFi8le8CW5S5YQyc2Nbm+PiyN+wAASBg7EuLAvSc4YOuUFGZNX8hJS0dmX6HLhWZqizr1FnYNTj56kqFNw2G14Y4svISXHFnfcLe7EW/IyU3IV6dQrIjWfwkg5eXLVk2w5soVkTzLPXPwMbkfZOnBK9RPYs4echQvJXriQvNVrIBSKrnM2aEDCoEEkXjKYuF69sLuL/13UAVrWO/39hMKRwjMwQXz5AY7lHncp6bi+MMXL5nN+MEw4YnA0t2j8mNyf3VcRt9NeokNvcWD5UV+YWPOMTFHfGY0TIyKloTBSDmbvnM3H2z/Gho2/9f8bKQkpVpckFcgIBMhbu5achYvIWbSIwO7dJda7z25D4qDBJF4ymJjOncttHhinw069BA/1Ejylel9BMFwcWHILg0xRn5i84y4vFS3nH9ep9zT6w5xMvNtRosNuyTMuReHluCAT5yYp1oXDrrMwIrWRwsgZ2u3bzWPLHwPgV11/RZ+mfSyuSCpCKCODnEWLyVm0iNyvvy5x+QWnk7iePUm46CISBw3E3bKldYWeRNFEjI2SYk77PUX9YY6/TFTyUlLRcnHn3qKzNIaBOXheIJ/9mfmnvU+bDZJiXKfoC+Mu7Mhb3BemKOAkeNQfRqS6Uxg5A/6wn/sW3UdeKI+ejXpyR7c7rC5JyokRiVCweQs5i8yzHwUbN5ZY76hXj4QBA0i46CLi+/bBkZhoUaUV4/j+MKWZMiESMcgqCJYMMIWXlE7VFyYzzxwYzzCIjhfDkbyf31khp91W4tJR0Z1HRR15T/ZIKpyOQHcmiVQNCiNn4OnVT7Pt2DbqxtTlbwP+hsOuETGrs7DPR+7y5eQsWULO4sWED2eUWB/TqRMJF11EwsCLienUqdwuv9QkdrstOujdWcSf9vuC4UiJW6eP5R4XZH58Jua4S0r+wgkpM3ICZOSUfj6lBI+zRDg5WWj58XLRtAMep/5/FykvCiNlNGf3HD7c9iE2bEzuN5mGcQ2tLklKyQiFyN+wkdylS8n5eikFGzeVGHzMHhdHfN8+JFx8MfH9++NqqP/GFcXlsNMg0UODxNL3hynqC1M0sN2PLykdP2pv0XNuwJxDKccfIscfKtXlpCIxLnuJyR1PDC0nOyNTs+ZPEikvCiNlkJqVyqPLHgXgti63qZ9INRI8cICcpUvJXfo1uStWEMnKKrHefXYbEvr2I+GiAcT27Fni7hepemJcDlK8saR4T398GDDPxGT/eNqBkyz/eCoCX545WaRhUDhjduk790LR/EkuEmNcJBbOaJ1YNMt14ezWJV7HFm9T9KxLTFKTKIyUUiAc4L5F95EbzKV7w+7cee6dVpckPyGSn0/e6tXRABLYubPEervXS3zv3iT060t83764UnQnVG3gctipG++mbnzpw2YkYpDtD500vJScUyl0YrjJN0ftNedPKtulpSKxLocZTmJd0dBSFFaSfhRkEj2ukq9jXCR6nNh195JUEQojpfSPNf9g69GtJHuS+duAv+G06xBWJUYwSP7GTeStXEHuipXkr1+PETjuF77dTmy3bsT360tCv37mrbea/VZKwV44gJw31hUd7O50HT9/UtEs1dkFweis1iWeT7E+r/ASU9HM1umlnEvpeIkeZ4kgkxjjJCHGRYLHUdiB2UW8xww9J10ufNZZGjlT+iYthYV7F/Lf7/4LwBP9nqBxfGNrCxKMSAT/tm3kLl9B7soV5K9eQySv5J0YziYpJPTtR3y/fsT3vhBHUpJF1UptV9b5k44XCkfI8YfIyi8OKNkF5pmY7ONf54fI9pcMNkXb+ENm36hsf4hsfwh8BWf0uWJcdhIKz77EHxdkEjwOEmKOW/YcH3Zchesc0XAT79bZmtpKYeQ0Hc47zB+//iMAN3e8mf7N+ltcUe1kGAaBXbujZz7yVq4knJlZYhtHcjJxvXoRf2Ev4npdiLvVWeosKDWG02GP3rFUVv5QODqtQDS4FJj9YXIKQuQWduzN9hcuFxy3fNzrQGGoKeo/k5FT9rM0RRI8xwcaJ3FuZ2GAc5jLbgdxnuLnhGi7k7jCQBPndhDvMZ89Trv+/68GFEZOQ8SI8MjSRzjmP0b7uu25p/s9VpdUa0TDx9o15K9ZQ+6KlYQOlZzx1h4XR+z5PYm/sDfxF/bC066dbrsV+QkepwNPgoP6pRzN98cCoUhxQDkuqJxyOVDclus3w1DR+nDEAIrvcDrEmQcbMMehOT6cRJ9/KuS4zfb4aBgqDjlxbicxLgWc8qYwchr+s+U/LE9bTowjhr8N+JvmnalARjiMf/t28lavIW/tWvLWrCF85EiJbWwuF7Hdu0fPfMR26YzN5bKoYpHay+2043a6qVOGjsDHMwwDf8i8wyl6VqYwqOQFzH4yuf7C54C5TZ7fXP7xujx/mBx/KHopKhQxyCq8RFVebDazA3Gsy0Gs20Gcu3g51mUGluJlR4nlmML1xcuOE7aNcTpq3eUqhZGf8d3R7/jnun8CcP/599Pa29riimoWIxAgf9Nm8tauIW/NGvLXrSeSnV1iG5vbTWy3bsT27EH8+ecT27079pjTH9pcRKo2m80WnbagtGPNnEooHCEvGC4OLdHwEiLHHybPHyI3cNxzIESuP1y4vmTIKVqXHzQ7DxsGhe3h0sw7WSoxLrsZao4LPEXhpUSQcTmILQo3TrsZZgqPZdF7Y5wOYt12PM7i4BPjclSpuaAURn5Cfiif3y/+PcFIkIHNB3J126utLqnaCx05Qv433xQ+viV/40aMgpKd5+zx8cR2705cz57E9exBTJcuGu9DRErF6bCT5LCTFFN+Z03DEYP8oBlOCgIR8oJmWCkoDCb5wTD5heElPxghPxAq3N5sjy4ft11BMFK4fZiCYPGgi2Y/nLLf+n063A47MS67GVzcDh65rANDOllzY4bCyE94evXT7PLtokFsAx7r85iuEZaSEQxS8N028r/9NhpAgvv2nbCdo06daPCI7dmTmHbtsDn1T1NEqhaHvXjOpooQKQw7xWElXBx+CoNMXiAcXc4/bn1eIIw/GKGg6P2F4aYgGC5uC4Sjl68AAuEIgXAkegkrGDYq5HOdDv3GP4UFqQv4aPtHAPy131+pE1OK2cJqIcMwCKWlkb9pU2H4+JaCTZsw/D/qhGaz4Tn7bGLP7UbsuecSe955uFu1UtATkVrPbi++9buiRCJm/5ySocV8tKqfUGH7/TkKIyeRnpceHe59fKfx9G7S29qCqhjDMAgdPEjB5s3kb9pEweYtFGzaRPjYsRO2tXu9xHbravb5OPdcYrt2rXEz3IqIVBd2u83sN+J2UJX+xFYY+RHDMPjjsj+S6c+kQ90O3HNe7b6N1zAMQocOUbDFDBz5mzdTsGnzCXe4AOB04jnnHGK7dDGDx7ndcJ91lm6zFRGRn6Qw8iMff/8xX+//GrfdzeT+k3E5as8to5H8fPzff0/Btm34t23Hv20bBdu3E/H5TtzY4cBz9tnEdO5ETKdOxHbujKddO+ye8ukJLyIitYfCyHH2Zu3l6dVPA3Bv93tpk9zG4ooqhhEKEdi7l8DOnSWCR2DPHvOetR9zOPC0bk1M587EdO5EbKdOeNq31+21IiJSLhRGCoUjYR75+hHyQ/n0bNSTGzreYHVJZyySl4d/5y4Cu3bi37GDwM5d+HfuILAnFYLBk77HUbcuMe3b4WnXHk+7tsS0a4e7TRvdWisiIhVGYaTQO1veYX36euKccfyl31+w26pHP4dIXh6BvfsI7k0lkLqXwN5Ugql78e/aSehA2infZ4uJwd26FTHntMXTrl00eDjr16/E6kVERMoYRqZMmcLTTz9NWloanTp14rnnnqN//1NPHLdo0SImTZrE5s2badKkCb///e+ZMGFCmYsub9uPbedf6/8FwIMXPEjThKYWV1QsUlBA6OBBggcPEkw7SHD//uOCx17CGRk/+X5H3bq4W7fC07qN+dymDZ7WrXGmpKhjqYiIVAmlDiMffvghEydOZMqUKfTt25eXX36Z4cOHs2XLFlq0aHHC9rt27eKyyy7j9ttv59133+Xrr7/mzjvvpEGDBowdO7ZcPsSZCIaDPLzkYYKRIBc1u4hRZ4+qlP0a4TDhY8cIHTlK+EgGoSNHCB48SCitMHgcTCOUdvCkt8v+mN3rxd28Oe4WzXE1M5/drVrhbt0aZ52qdPOWiIjIiWyGcbIei6fWq1cvunfvzosvvhht69ChA6NGjWLy5MknbP/AAw8wc+ZMtm7dGm2bMGEC3377LcuXLz+tfWZlZeH1evH5fCQlJZWm3J/1/LrneXXjqyR7kpk+cjr1Y0t3mcIwDIyCAsJZWUSysggXPszlbMJZPiJZWWboOHqEUMYRQkeOmCEjEvn5HQC22FhcjRvjSmmMMyUFd/MWZvAofHZ4vWX56CIiIhXqdL+/S3VmJBAIsHbtWh588MES7UOGDGHZsmUnfc/y5csZMmRIibahQ4fy+uuvEwwGcZ1ktlW/34//uJE7s7KySlPmadv4zvOE5r7MrRGDvo3aEtj0HAfCEYxwCMIRjEgYQiEiBX6M/HwiBQVECvIx8guIFBRE2043VJzAZsORnIyzfj0cdevhbNQQV+MUM3Q0bowrJQVX48bYvV6NUCoiIjVWqcJIRkYG4XCYRo0alWhv1KgRBw8ePOl7Dh48eNLtQ6EQGRkZpKSknPCeyZMn89hjj5WmtFIzDIMtn73H8G+LgsQyTjKaxulzOHAkJmL3JuFITMKRlIQ9yXx2JCXiqFPXDB316heGj7o469bVHCwiIlLrlemb8Md/pRuG8ZN/uZ9s+5O1F3nooYeYNGlS9HVWVhbNmzcvS6k/WdN5V01gZcr/uLjlYGLcsdgcTnDYsdkd5nPha3tMLPbYGGwxMdhjY7HHxmI7vi0uHnt8nM5eiIiIlEGpwkj9+vVxOBwnnAVJT08/4exHkcaNG590e6fTSb169U76Ho/Hg6cSRvJse/UttL36lgrfj4iIiJxaqe7tdLvd9OjRg3nz5pVonzdvHn369Dnpe3r37n3C9nPnzqVnz54n7S8iIiIitUupB5qYNGkSr732Gm+88QZbt27lt7/9LampqdFxQx566CFuuumm6PYTJkxgz549TJo0ia1bt/LGG2/w+uuvc99995XfpxAREZFqq9R9RsaNG8eRI0d4/PHHSUtLo3PnzsyePZuWLVsCkJaWRmpqanT7Vq1aMXv2bH7729/y73//myZNmvD8889XiTFGRERExHqlHmfEChU5zoiIiIhUjNP9/tZ44CIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRSCiMiIiJiqVIPB2+FokFis7KyLK5ERERETlfR9/bPDfZeLcJIdnY2AM2bN7e4EhERESmt7OxsvF7vKddXi7lpIpEIBw4cIDExEZvNVm4/Nysri+bNm7N3717NeVPBdKwrh45z5dBxrhw6zpWnoo61YRhkZ2fTpEkT7PZT9wypFmdG7HY7zZo1q7Cfn5SUpH/olUTHunLoOFcOHefKoeNceSriWP/UGZEi6sAqIiIillIYEREREUvV6jDi8Xj405/+hMfjsbqUGk/HunLoOFcOHefKoeNceaw+1tWiA6uIiIjUXLX6zIiIiIhYT2FERERELKUwIiIiIpZSGBERERFL1eowMmXKFFq1akVMTAw9evRgyZIlVpdUbUyePJnzzz+fxMREGjZsyKhRo9i2bVuJbQzD4NFHH6VJkybExsZy8cUXs3nz5hLb+P1+7r77burXr098fDxXXnkl+/btq8yPUq1MnjwZm83GxIkTo206zuVn//793HDDDdSrV4+4uDjOPfdc1q5dG12vY33mQqEQf/jDH2jVqhWxsbG0bt2axx9/nEgkEt1Gx7lsFi9ezBVXXEGTJk2w2WzMmDGjxPryOq7Hjh3jxhtvxOv14vV6ufHGG8nMzDyz4o1a6oMPPjBcLpfx6quvGlu2bDHuvfdeIz4+3tizZ4/VpVULQ4cONd58801j06ZNxjfffGOMGDHCaNGihZGTkxPd5sknnzQSExONqVOnGhs3bjTGjRtnpKSkGFlZWdFtJkyYYDRt2tSYN2+esW7dOmPgwIFGt27djFAoZMXHqtJWrVplnHXWWUbXrl2Ne++9N9qu41w+jh49arRs2dIYP368sXLlSmPXrl3G/PnzjR9++CG6jY71mfvLX/5i1KtXz5g1a5axa9cu46OPPjISEhKM5557LrqNjnPZzJ4923jkkUeMqVOnGoAxffr0EuvL67gOGzbM6Ny5s7Fs2TJj2bJlRufOnY3LL7/8jGqvtWHkggsuMCZMmFCirX379saDDz5oUUXVW3p6ugEYixYtMgzDMCKRiNG4cWPjySefjG5TUFBgeL1e46WXXjIMwzAyMzMNl8tlfPDBB9Ft9u/fb9jtdmPOnDmV+wGquOzsbOOcc84x5s2bZ1x00UXRMKLjXH4eeOABo1+/fqdcr2NdPkaMGGH88pe/LNE2ZswY44YbbjAMQ8e5vPw4jJTXcd2yZYsBGCtWrIhus3z5cgMwvvvuuzLXWysv0wQCAdauXcuQIUNKtA8ZMoRly5ZZVFX15vP5AKhbty4Au3bt4uDBgyWOscfj4aKLLooe47Vr1xIMBkts06RJEzp37qz/Dj/ym9/8hhEjRnDJJZeUaNdxLj8zZ86kZ8+eXH311TRs2JDzzjuPV199Nbpex7p89OvXjwULFrB9+3YAvv32W5YuXcpll10G6DhXlPI6rsuXL8fr9dKrV6/oNhdeeCFer/eMjn21mCivvGVkZBAOh2nUqFGJ9kaNGnHw4EGLqqq+DMNg0qRJ9OvXj86dOwNEj+PJjvGePXui27jdburUqXPCNvrvUOyDDz5g3bp1rF69+oR1Os7lZ+fOnbz44otMmjSJhx9+mFWrVnHPPffg8Xi46aabdKzLyQMPPIDP56N9+/Y4HA7C4TB//etf+cUvfgHo33RFKa/jevDgQRo2bHjCz2/YsOEZHftaGUaK2Gy2Eq8NwzihTX7eXXfdxYYNG1i6dOkJ68pyjPXfodjevXu59957mTt3LjExMafcTsf5zEUiEXr27MkTTzwBwHnnncfmzZt58cUXuemmm6Lb6VifmQ8//JB3332X//73v3Tq1IlvvvmGiRMn0qRJE26++ebodjrOFaM8juvJtj/TY18rL9PUr18fh8NxQopLT08/ITXKT7v77ruZOXMmX331Fc2aNYu2N27cGOAnj3Hjxo0JBAIcO3bslNvUdmvXriU9PZ0ePXrgdDpxOp0sWrSI559/HqfTGT1OOs5nLiUlhY4dO5Zo69ChA6mpqYD+TZeX+++/nwcffJBrr72WLl26cOONN/Lb3/6WyZMnAzrOFaW8jmvjxo05dOjQCT//8OHDZ3Tsa2UYcbvd9OjRg3nz5pVonzdvHn369LGoqurFMAzuuusupk2bxpdffkmrVq1KrG/VqhWNGzcucYwDgQCLFi2KHuMePXrgcrlKbJOWlsamTZv036HQ4MGD2bhxI99880300bNnT66//nq++eYbWrdureNcTvr27XvC7enbt2+nZcuWgP5Nl5e8vDzs9pJfPQ6HI3prr45zxSiv49q7d298Ph+rVq2KbrNy5Up8Pt+ZHfsyd32t5opu7X399deNLVu2GBMnTjTi4+ON3bt3W11atXDHHXcYXq/XWLhwoZGWlhZ95OXlRbd58sknDa/Xa0ybNs3YuHGj8Ytf/OKkt5E1a9bMmD9/vrFu3Tpj0KBBtf72vJ9z/N00hqHjXF5WrVplOJ1O469//avx/fffG++9954RFxdnvPvuu9FtdKzP3M0332w0bdo0emvvtGnTjPr16xu///3vo9voOJdNdna2sX79emP9+vUGYDzzzDPG+vXro0NWlNdxHTZsmNG1a1dj+fLlxvLly40uXbro1t4z8e9//9to2bKl4Xa7je7du0dvS5WfB5z08eabb0a3iUQixp/+9CejcePGhsfjMQYMGGBs3LixxM/Jz8837rrrLqNu3bpGbGyscfnllxupqamV/Gmqlx+HER3n8vPpp58anTt3Njwej9G+fXvjlVdeKbFex/rMZWVlGffee6/RokULIyYmxmjdurXxyCOPGH6/P7qNjnPZfPXVVyf9vXzzzTcbhlF+x/XIkSPG9ddfbyQmJhqJiYnG9ddfbxw7duyMarcZhmGU/byKiIiIyJmplX1GREREpOpQGBERERFLKYyIiIiIpRRGRERExFIKIyIiImIphRERERGxlMKIiIiIWEphRERERCylMCIiIiKWUhgRERERSymMiIiIiKUURkRERMRS/w+MYRa6yvoKgwAAAABJRU5ErkJggg==",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:44:00.140406</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m6ee51dd236\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m504a38f8f0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m504a38f8f0\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m504a38f8f0\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m504a38f8f0\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m504a38f8f0\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m504a38f8f0\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pda8fc0d375)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pda8fc0d375)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pda8fc0d375)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pda8fc0d375)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pda8fc0d375\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -136,11 +138,11 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# Runge-Kutta method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -166,13 +168,15 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAGdCAYAAADAAnMpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAh2UlEQVR4nO3df1RUdeL/8dfwYwZQmFISRJFw+2WRlbCaqGv2AzVr17OdoizR0k5U/kC2Vs3d2tyKtnPWbdtN+uGv7WTFaTOPdThuU1umYVqEraWtbZKQggQZ0Kqg8P784dfpOwsUAzO8HX0+zpk/uLzv3Pe87cTz3Dtzx2GMMQIAALAkzPYEAADAqY0YAQAAVhEjAADAKmIEAABYRYwAAACriBEAAGAVMQIAAKwiRgAAgFURtifQGa2trdq3b59iY2PlcDhsTwcAAHSCMUaNjY1KSkpSWFjH5z9CIkb27dun5ORk29MAAABdUFlZqYEDB3b4+5CIkdjYWEnHXkxcXJzl2QAAgM5oaGhQcnKy9+94R0IiRo5fmomLiyNGAAAIMT/2FgvewAoAAKwiRgAAgFXECAAAsIoYAQAAVhEjAADAKmIEAABYRYwAAACriBEAAGAVMQIAAKwiRgAAgFXECAAAsCokvpsmKIyRjhy0PQsAAE4MkTHSj3yHTLCcujFy5KD0SJLtWQAAcGK4b5/k7GXl0FymAQAAVp26Z0YiY45VIAAAOPZ30ZJTN0YcDmunowAAwPe4TAMAAKwiRgAAgFXECAAAsIoYAQAAVhEjAADAKmIEAABYRYwAAACriBEAAGAVMQIAAKwiRgAAgFXECAAAsIoYAQAAVhEjAADAKmIEAABYRYwAAACriBEAAGAVMQIAAKwiRgAAgFXECAAAsIoYAQAAVhEjAADAKmIEAABYRYwAAACriBEAAGAVMQIAAKwiRgAAgFXECAAAsIoYAQAAVhEjAADAKmIEAABYRYwAAACruhQjS5cuVWpqqqKiopSenq6NGzf+4PjVq1froosuUkxMjPr3769bb71VdXV1XZowAAA4ufgdI0VFRcrLy9OiRYtUVlamMWPGaOLEiaqoqGh3/KZNm5STk6MZM2bo008/1csvv6wPPvhAM2fO7PbkAQBA6PM7RpYsWaIZM2Zo5syZGjJkiB5//HElJyersLCw3fHvv/++zjzzTM2ZM0epqakaPXq07rjjDn344YfdnjwAAAh9fsVIc3OzSktLlZWV5bM9KytLJSUl7e6TmZmpr776SsXFxTLGaP/+/fr73/+uSZMmdXicpqYmNTQ0+DwAAMDJya8Yqa2tVUtLixISEny2JyQkqLq6ut19MjMztXr1amVnZ8vpdCoxMVGnnXaa/vKXv3R4nIKCArndbu8jOTnZn2kCAIAQ0qU3sDocDp+fjTFtth23Y8cOzZkzR/fff79KS0u1fv16lZeXKzc3t8PnX7hwoerr672PysrKrkwTAACEgAh/BsfHxys8PLzNWZCampo2Z0uOKygo0KhRo3TvvfdKkoYOHapevXppzJgxeuihh9S/f/82+7hcLrlcLn+mBgAAQpRfZ0acTqfS09Pl8Xh8tns8HmVmZra7z8GDBxUW5nuY8PBwScfOqAAAgFOb35dp8vPztWzZMq1YsUI7d+7UvHnzVFFR4b3ssnDhQuXk5HjHX3vttVqzZo0KCwu1e/duvffee5ozZ46GDx+upKSkwL0SAAAQkvy6TCNJ2dnZqqur0+LFi1VVVaW0tDQVFxcrJSVFklRVVeVzz5Hp06ersbFRf/3rX/WrX/1Kp512mi6//HL94Q9/CNyrAAAAIcthQuBaSUNDg9xut+rr6xUXF2d7OgAAoBM6+/eb76YBAABWESMAAMAqYgQAAFhFjAAAAKuIEQAAYBUxAgAArCJGAACAVcQIAACwihgBAABWESMAAMAqYgQAAFhFjAAAAKuIEQAAYBUxAgAArCJGAACAVcQIAACwihgBAABWESMAAMAqYgQAAFhFjAAAAKuIEQAAYBUxAgAArCJGAACAVcQIAACwihgBAABWESMAAMAqYgQAAFhFjAAAAKuIEQAAYBUxAgAArCJGAACAVcQIAACwihgBAABWESMAAMAqYgQAAFhFjAAAAKuIEQAAYBUxAgAArCJGAACAVcQIAACwihgBAABWESMAAMAqYgQAAFhFjAAAAKuIEQAAYBUxAgAArCJGAACAVcQIAACwihgBAABWESMAAMAqYgQAAFhFjAAAAKuIEQAAYBUxAgAArCJGAACAVcQIAACwihgBAABWESMAAMAqYgQAAFhFjAAAAKuIEQAAYBUxAgAArCJGAACAVV2KkaVLlyo1NVVRUVFKT0/Xxo0bf3B8U1OTFi1apJSUFLlcLv3kJz/RihUrujRhAABwconwd4eioiLl5eVp6dKlGjVqlJ5++mlNnDhRO3bs0KBBg9rd54YbbtD+/fu1fPlynXXWWaqpqdHRo0e7PXkAABD6HMYY488OI0aM0LBhw1RYWOjdNmTIEE2ePFkFBQVtxq9fv1433nijdu/erT59+nRpkg0NDXK73aqvr1dcXFyXngMAAPSszv799usyTXNzs0pLS5WVleWzPSsrSyUlJe3us27dOmVkZOixxx7TgAEDdM455+iee+7RoUOHOjxOU1OTGhoafB4AAODk5NdlmtraWrW0tCghIcFne0JCgqqrq9vdZ/fu3dq0aZOioqL06quvqra2VnfddZe++eabDt83UlBQoAcffNCfqQEAgBDVpTewOhwOn5+NMW22Hdfa2iqHw6HVq1dr+PDhuvrqq7VkyRKtWrWqw7MjCxcuVH19vfdRWVnZlWkCAIAQ4NeZkfj4eIWHh7c5C1JTU9PmbMlx/fv314ABA+R2u73bhgwZImOMvvrqK5199tlt9nG5XHK5XP5MDQAAhCi/zow4nU6lp6fL4/H4bPd4PMrMzGx3n1GjRmnfvn367rvvvNt27dqlsLAwDRw4sAtTBgAAJxO/L9Pk5+dr2bJlWrFihXbu3Kl58+apoqJCubm5ko5dYsnJyfGOnzJlivr27atbb71VO3bs0Lvvvqt7771Xt912m6KjowP3SgAAQEjy+z4j2dnZqqur0+LFi1VVVaW0tDQVFxcrJSVFklRVVaWKigrv+N69e8vj8Wj27NnKyMhQ3759dcMNN+ihhx4K3KsAAAAhy+/7jNjAfUYAAAg9QbnPCAAAQKARIwAAwCpiBAAAWEWMAAAAq4gRAABgld8f7QUAAD/OGKOjR4+qpaXF9lSCJjw8XBERER1+JUxnESMAAARYc3OzqqqqdPDgQdtTCbqYmBj1799fTqezy89BjAAAEECtra0qLy9XeHi4kpKS5HQ6u33m4ERkjFFzc7O+/vprlZeX6+yzz1ZYWNfe/UGMAAAQQM3NzWptbVVycrJiYmJsTyeooqOjFRkZqT179qi5uVlRUVFdeh7ewAoAQBB09SxBqAnE6zw1VgoAAJywiBEAAGAVMQIAACRJNTU1uuOOOzRo0CC5XC4lJiZq/Pjx2rx5c1CPyxtYAQCAJOm6667TkSNH9Le//U2DBw/W/v379dZbb+mbb74J6nGJEQAAoG+//VabNm3SO++8o7Fjx0qSUlJSNHz48KAfmxgBACDIjDE6dKTn78QaHRne6Xuc9O7dW71799batWt16aWXyuVyBXl23yNGAAAIskNHWnT+/f/o8ePuWDxeMc7O/amPiIjQqlWrdPvtt+upp57SsGHDNHbsWN14440aOnRoUOfJG1gBAICkY+8Z2bdvn9atW6fx48frnXfe0bBhw7Rq1aqgHtdhjDFBPUIANDQ0yO12q76+XnFxcbanAwBAhw4fPqzy8nKlpqZ670gaCpdpOjJz5kx5PB7t2bOn3d+393qP6+zfby7TAAAQZA6Ho9OXS040559/vtauXRvUY4TmygAAgICqq6vT9ddfr9tuu01Dhw5VbGysPvzwQz322GP6xS9+EdRjEyMAAEC9e/fWiBEj9Kc//UlffPGFjhw5ouTkZN1+++267777gnpsYgQAAMjlcqmgoEAFBQU9fmw+TQMAAKwiRgAAgFXECAAAsIoYAQAAVhEjAADAKmIEAABYRYwAAACriBEAAGAVMQIAAKwiRgAAgFXECAAAkCRNnz5dDoejzWPChAlBPS7fTQMAALwmTJiglStX+mxzuVxBPSYxAgAAvFwulxITE3v0mMQIAADBZox05GDPHzcyRnI4ev64fiJGAAAItiMHpUeSev649+2TnL382uX1119X7969fbbNnz9fv/3tbwM5Mx/ECAAA8Bo3bpwKCwt9tvXp0yeoxyRGAAAItsiYY2cpbBzXT7169dJZZ50VhMl0jBgBACDYHA6/L5ecSogRAADg1dTUpOrqap9tERERio+PD9oxiREAAOC1fv169e/f32fbueeeq88++yxox+QOrAAAQJK0atUqGWPaPIIZIhIxAgAALCNGAACAVcQIAACwihgBAABWESMAAMAqYgQAAFhFjAAAAKuIEQAAYBUxAgAArCJGAACAVcQIAACQJE2fPl2TJ0/u8eMSIwAAwCpiBAAAWBVhewIAAJzsjDE6dPRQjx83OiJaDoejx4/rL2IEAIAgO3T0kEa8MKLHj7tlyhbFRMb0+HH9xWUaAABgFWdGAAAIsuiIaG2ZssXKcUMBMQIAQJA5HI6QuFxiC5dpAACAVcQIAACwqksxsnTpUqWmpioqKkrp6enauHFjp/Z77733FBERoYsvvrgrhwUAAEG0atUqrV27tseP63eMFBUVKS8vT4sWLVJZWZnGjBmjiRMnqqKi4gf3q6+vV05Ojq644oouTxYAAJx8/I6RJUuWaMaMGZo5c6aGDBmixx9/XMnJySosLPzB/e644w5NmTJFI0eO7PJkAQDAycevGGlublZpaamysrJ8tmdlZamkpKTD/VauXKkvvvhCDzzwQKeO09TUpIaGBp8HAAA4OfkVI7W1tWppaVFCQoLP9oSEBFVXV7e7z+eff64FCxZo9erViojo3CeJCwoK5Ha7vY/k5GR/pgkAAEJIl97A+r/3uTfGtHvv+5aWFk2ZMkUPPvigzjnnnE4//8KFC1VfX+99VFZWdmWaAAAgBPh107P4+HiFh4e3OQtSU1PT5myJJDU2NurDDz9UWVmZZs2aJUlqbW2VMUYRERF64403dPnll7fZz+VyyeVy+TM1AAAQovw6M+J0OpWeni6Px+Oz3ePxKDMzs834uLg4bd++Xdu2bfM+cnNzde6552rbtm0aMaLnvzQIAACcWPy+HXx+fr6mTp2qjIwMjRw5Us8884wqKiqUm5sr6dgllr179+q5555TWFiY0tLSfPbv16+foqKi2mwHAACnJr9jJDs7W3V1dVq8eLGqqqqUlpam4uJipaSkSJKqqqp+9J4jAAAAxzmMMcb2JH5MQ0OD3G636uvrFRcXZ3s6AAB06PDhwyovL/feqfxk90Ovt7N/v/luGgAAIEmaPn26HA6HHA6HIiIiNGjQIN155506cOBAUI9LjAAAAK8JEyaoqqpKX375pZYtW6bXXntNd911V1CP6fd7RgAAwMnL5XIpMTFRkjRw4EBlZ2dr1apVQT0mMQIAQJAZY2QOHerx4zqio9u9KWln7d69W+vXr1dkZGQAZ9UWMQIAQJCZQ4f072HpPX7ccz8qlSMmxq99Xn/9dfXu3VstLS06fPiwpGNfkhtMxAgAAPAaN26cCgsLdfDgQS1btky7du3S7Nmzg3pMYgQAgCBzREfr3I9KrRzXX7169dJZZ50lSXriiSc0btw4Pfjgg/r9738f6Ol5ESMAAASZw+Hw+3LJieKBBx7QxIkTdeeddyopKSkox+CjvQAAoEOXXXaZLrjgAj3yyCNBOwYxAgAAflB+fr6effZZVVZWBuX5uUwDAAAkqcP7iUyZMkVTpkwJ2nE5MwIAAKwiRgAAgFXECAAAsIoYAQAAVhEjAADAKmIEAIAgaG1ttT2FHhGI18lHewEACCCn06mwsDDt27dPZ5xxhpxOZ7e+OfdEZYxRc3Ozvv76a4WFhcnpdHb5uYgRAAACKCwsTKmpqaqqqtK+fftsTyfoYmJiNGjQIIWFdf1iCzECAECAOZ1ODRo0SEePHlVLS4vt6QRNeHi4IiIiun3mhxgBACAIHA6HIiMjFRkZaXsqJzzewAoAAKwiRgAAgFXECAAAsIoYAQAAVhEjAADAKmIEAABYRYwAAACriBEAAGAVMQIAAKwiRgAAgFXECAAAsIoYAQAAVhEjAADAKmIEAABYRYwAAACriBEAAGAVMQIAAKwiRgAAgFXECAAAsIoYAQAAVhEjAADAKmIEAABYRYwAAACriBEAAGAVMQIAAKwiRgAAgFXECAAAsIoYAQAAVhEjAADAKmIEAABYRYwAAACriBEAAGAVMQIAAKwiRgAAgFXECAAAsIoYAQAAVhEjAADAKmIEAABYRYwAAACriBEAAGAVMQIAAKwiRgAAgFXECAAAsKpLMbJ06VKlpqYqKipK6enp2rhxY4dj16xZo6uuukpnnHGG4uLiNHLkSP3jH//o8oQBAMDJxe8YKSoqUl5enhYtWqSysjKNGTNGEydOVEVFRbvj3333XV111VUqLi5WaWmpxo0bp2uvvVZlZWXdnjwAAAh9DmOM8WeHESNGaNiwYSosLPRuGzJkiCZPnqyCgoJOPccFF1yg7Oxs3X///Z0a39DQILfbrfr6esXFxfkzXQAAYEln/377dWakublZpaWlysrK8tmelZWlkpKSTj1Ha2urGhsb1adPnw7HNDU1qaGhwecBAABOTn7FSG1trVpaWpSQkOCzPSEhQdXV1Z16jj/+8Y/673//qxtuuKHDMQUFBXK73d5HcnKyP9MEAAAhpEtvYHU4HD4/G2PabGvPiy++qN/97ncqKipSv379Ohy3cOFC1dfXex+VlZVdmSYAAAgBEf4Mjo+PV3h4eJuzIDU1NW3OlvyvoqIizZgxQy+//LKuvPLKHxzrcrnkcrn8mRoAAAhRfp0ZcTqdSk9Pl8fj8dnu8XiUmZnZ4X4vvviipk+frhdeeEGTJk3q2kwBAMBJya8zI5KUn5+vqVOnKiMjQyNHjtQzzzyjiooK5ebmSjp2iWXv3r167rnnJB0LkZycHP35z3/WpZde6j2rEh0dLbfbHcCXAgAAQpHfMZKdna26ujotXrxYVVVVSktLU3FxsVJSUiRJVVVVPvccefrpp3X06FHdfffduvvuu73bp02bplWrVnX/FQAAgJDm931GbOA+IwAAhJ6g3GcEAAAg0IgRAABgFTECAACsIkYAAIBVxAgAALCKGAEAAFYRIwAAwCpiBAAAWEWMAAAAq4gRAABgFTECAACsIkYAAIBVxAgAALCKGAEAAFYRIwAAwCpiBAAAWEWMAAAAq4gRAABgFTECAACsIkYAAIBVxAgAALCKGAEAAFYRIwAAwCpiBAAAWEWMAAAAq4gRAABgFTECAACsIkYAAIBVEbYnYIsxRoeOtNieBgAAJ4ToyHA5HA4rxz5lY+TQkRadf/8/bE8DAIATwo7F4xXjtJMFXKYBAABWnbJnRqIjw7Vj8Xjb0wAA4IQQHRlu7dinbIw4HA5rp6MAAMD3uEwDAACsIkYAAIBVxAgAALCKGAEAAFYRIwAAwCpiBAAAWEWMAAAAq4gRAABgFTECAACsIkYAAIBVxAgAALCKGAEAAFYRIwAAwCpiBAAAWEWMAAAAq4gRAABgFTECAACsIkYAAIBVxAgAALCKGAEAAFYRIwAAwCpiBAAAWEWMAAAAq4gRAABgFTECAACsIkYAAIBVxAgAALCKGAEAAFYRIwAAwCpiBAAAWNWlGFm6dKlSU1MVFRWl9PR0bdy48QfHb9iwQenp6YqKitLgwYP11FNPdWmyAADg5ON3jBQVFSkvL0+LFi1SWVmZxowZo4kTJ6qioqLd8eXl5br66qs1ZswYlZWV6b777tOcOXP0yiuvdHvyAAAg9DmMMcafHUaMGKFhw4apsLDQu23IkCGaPHmyCgoK2oyfP3++1q1bp507d3q35ebm6uOPP9bmzZs7dcyGhga53W7V19crLi7On+l2qLW1VQcbDwTkuQAACHUxsacrLCyw797o7N/vCH+etLm5WaWlpVqwYIHP9qysLJWUlLS7z+bNm5WVleWzbfz48Vq+fLmOHDmiyMjINvs0NTWpqanJ58UE2sHGA6ocMTrgzwsAQChK3rJJvd19rRzbrwSqra1VS0uLEhISfLYnJCSourq63X2qq6vbHX/06FHV1ta2u09BQYHcbrf3kZyc7M80AQBACPHrzMhxDofD52djTJttPza+ve3HLVy4UPn5+d6fGxoaAh4kMbGnK3nLpoA+JwAAoSom9nRrx/YrRuLj4xUeHt7mLEhNTU2bsx/HJSYmtjs+IiJCffu2fzrI5XLJ5XL5MzW/hYWFWTsdBQAAvufXZRqn06n09HR5PB6f7R6PR5mZme3uM3LkyDbj33jjDWVkZLT7fhEAAHBq8ftts/n5+Vq2bJlWrFihnTt3at68eaqoqFBubq6kY5dYcnJyvONzc3O1Z88e5efna+fOnVqxYoWWL1+ue+65J3CvAgAAhCy/3zOSnZ2turo6LV68WFVVVUpLS1NxcbFSUlIkSVVVVT73HElNTVVxcbHmzZunJ598UklJSXriiSd03XXXBe5VAACAkOX3fUZsCMZ9RgAAQHB19u83300DAACsIkYAAIBVxAgAALCKGAEAAFYRIwAAwCpiBAAAWEWMAAAAq4gRAABgFTECAACs8vt28DYcv0lsQ0OD5ZkAAIDOOv53+8du9h4SMdLY2ChJSk5OtjwTAADgr8bGRrnd7g5/HxLfTdPa2qp9+/YpNjZWDocjYM/b0NCg5ORkVVZW8p03QcZa9wzWuWewzj2Dde45wVprY4waGxuVlJSksLCO3xkSEmdGwsLCNHDgwKA9f1xcHP+h9xDWumewzj2Dde4ZrHPPCcZa/9AZkeN4AysAALCKGAEAAFad0jHicrn0wAMPyOVy2Z7KSY+17hmsc89gnXsG69xzbK91SLyBFQAAnLxO6TMjAADAPmIEAABYRYwAAACriBEAAGDVKR0jS5cuVWpqqqKiopSenq6NGzfanlLIKCgo0E9/+lPFxsaqX79+mjx5sv7973/7jDHG6He/+52SkpIUHR2tyy67TJ9++qnPmKamJs2ePVvx8fHq1auXfv7zn+urr77qyZcSUgoKCuRwOJSXl+fdxjoHzt69e3XLLbeob9++iomJ0cUXX6zS0lLv71nr7jt69Kh+85vfKDU1VdHR0Ro8eLAWL16s1tZW7xjWuWveffddXXvttUpKSpLD4dDatWt9fh+odT1w4ICmTp0qt9stt9utqVOn6ttvv+3e5M0p6qWXXjKRkZHm2WefNTt27DBz5841vXr1Mnv27LE9tZAwfvx4s3LlSvPJJ5+Ybdu2mUmTJplBgwaZ7777zjvm0UcfNbGxseaVV14x27dvN9nZ2aZ///6moaHBOyY3N9cMGDDAeDwe89FHH5lx48aZiy66yBw9etTGyzqhbd261Zx55plm6NChZu7cud7trHNgfPPNNyYlJcVMnz7dbNmyxZSXl5s333zT/Oc///GOYa2776GHHjJ9+/Y1r7/+uikvLzcvv/yy6d27t3n88ce9Y1jnrikuLjaLFi0yr7zyipFkXn31VZ/fB2pdJ0yYYNLS0kxJSYkpKSkxaWlp5pprrunW3E/ZGBk+fLjJzc312XbeeeeZBQsWWJpRaKupqTGSzIYNG4wxxrS2tprExETz6KOPesccPnzYuN1u89RTTxljjPn2229NZGSkeemll7xj9u7da8LCwsz69et79gWc4BobG83ZZ59tPB6PGTt2rDdGWOfAmT9/vhk9enSHv2etA2PSpEnmtttu89n2y1/+0txyyy3GGNY5UP43RgK1rjt27DCSzPvvv+8ds3nzZiPJfPbZZ12e7yl5maa5uVmlpaXKysry2Z6VlaWSkhJLswpt9fX1kqQ+ffpIksrLy1VdXe2zxi6XS2PHjvWucWlpqY4cOeIzJikpSWlpafw7/I+7775bkyZN0pVXXumznXUOnHXr1ikjI0PXX3+9+vXrp0suuUTPPvus9/esdWCMHj1ab731lnbt2iVJ+vjjj7Vp0yZdffXVkljnYAnUum7evFlut1sjRozwjrn00kvldru7tfYh8UV5gVZbW6uWlhYlJCT4bE9ISFB1dbWlWYUuY4zy8/M1evRopaWlSZJ3Hdtb4z179njHOJ1OnX766W3G8O/wvZdeekkfffSRPvjggza/Y50DZ/fu3SosLFR+fr7uu+8+bd26VXPmzJHL5VJOTg5rHSDz589XfX29zjvvPIWHh6ulpUUPP/ywbrrpJkn8Nx0sgVrX6upq9evXr83z9+vXr1trf0rGyHEOh8PnZ2NMm234cbNmzdK//vUvbdq0qc3vurLG/Dt8r7KyUnPnztUbb7yhqKioDsexzt3X2tqqjIwMPfLII5KkSy65RJ9++qkKCwuVk5PjHcdad09RUZGef/55vfDCC7rgggu0bds25eXlKSkpSdOmTfOOY52DIxDr2t747q79KXmZJj4+XuHh4W0qrqampk014ofNnj1b69at09tvv62BAwd6tycmJkrSD65xYmKimpubdeDAgQ7HnOpKS0tVU1Oj9PR0RUREKCIiQhs2bNATTzyhiIgI7zqxzt3Xv39/nX/++T7bhgwZooqKCkn8Nx0o9957rxYsWKAbb7xRF154oaZOnap58+apoKBAEuscLIFa18TERO3fv7/N83/99dfdWvtTMkacTqfS09Pl8Xh8tns8HmVmZlqaVWgxxmjWrFlas2aN/vnPfyo1NdXn96mpqUpMTPRZ4+bmZm3YsMG7xunp6YqMjPQZU1VVpU8++YR/h//niiuu0Pbt27Vt2zbvIyMjQzfffLO2bdumwYMHs84BMmrUqDYfT9+1a5dSUlIk8d90oBw8eFBhYb5/esLDw70f7WWdgyNQ6zpy5EjV19dr69at3jFbtmxRfX1999a+y299DXHHP9q7fPlys2PHDpOXl2d69eplvvzyS9tTCwl33nmncbvd5p133jFVVVXex8GDB71jHn30UeN2u82aNWvM9u3bzU033dTux8gGDhxo3nzzTfPRRx+Zyy+//JT/eN6P+f8/TWMM6xwoW7duNREREebhhx82n3/+uVm9erWJiYkxzz//vHcMa91906ZNMwMGDPB+tHfNmjUmPj7e/PrXv/aOYZ27prGx0ZSVlZmysjIjySxZssSUlZV5b1kRqHWdMGGCGTp0qNm8ebPZvHmzufDCC/lob3c8+eSTJiUlxTidTjNs2DDvx1Lx4yS1+1i5cqV3TGtrq3nggQdMYmKicblc5mc/+5nZvn27z/McOnTIzJo1y/Tp08dER0eba665xlRUVPTwqwkt/xsjrHPgvPbaayYtLc24XC5z3nnnmWeeecbn96x19zU0NJi5c+eaQYMGmaioKDN48GCzaNEi09TU5B3DOnfN22+/3e7/l6dNm2aMCdy61tXVmZtvvtnExsaa2NhYc/PNN5sDBw50a+4OY4zp+nkVAACA7jkl3zMCAABOHMQIAACwihgBAABWESMAAMAqYgQAAFhFjAAAAKuIEQAAYBUxAgAArCJGAACAVcQIAACwihgBAABWESMAAMCq/wMIbbmNCrSV4AAAAABJRU5ErkJggg==",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:44:02.789261</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m51db159c7b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m9e3223636c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m9e3223636c\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m9e3223636c\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m9e3223636c\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m9e3223636c\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m9e3223636c\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pb0046de939)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pb0046de939)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pb0046de939)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pb0046de939)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb0046de939\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -196,8 +200,8 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "Epoch: 0\t Loss: tensor(4.6512e-08, grad_fn=<MseLossBackward>)\n",
       "{'a': Parameter containing:\n",
@@ -316,14 +320,14 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "{'a': 0.09994731843471527, 'g1': 0.2934265434741974, 'g2': 0.1998223513364792}"
       ]
      },
+     "execution_count": 10,
      "metadata": {},
-     "execution_count": 10
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -333,11 +337,11 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# Predictions for nt = 10000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -345,7 +349,6 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
@@ -358,8 +361,9 @@
        "       grad_fn=<StackBackward>)"
       ]
      },
+     "execution_count": 11,
      "metadata": {},
-     "execution_count": 11
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -373,13 +377,15 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "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",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:56:22.458814</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m650a115eec\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.273255\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2000 -->\n      <g transform=\"translate(98.548255 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.210658\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4000 -->\n      <g transform=\"translate(163.485658 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.148061\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6000 -->\n      <g transform=\"translate(228.423061 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.085464\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8000 -->\n      <g transform=\"translate(293.360464 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.022866\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10000 -->\n      <g transform=\"translate(355.116616 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"254.492188\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m1d2143570a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"212.56315\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 216.362369)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"163.9103\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 167.709518)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"115.25745\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 119.056668)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"66.604599\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 70.403818)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"17.951749\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 21.750968)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p5a52821395)\" d=\"M 46.335852 236.889575 \nL 47.732006 237.003025 \nL 49.225567 237.350773 \nL 50.913939 237.975813 \nL 52.926999 238.966432 \nL 55.556963 240.525482 \nL 60.687018 243.893668 \nL 65.39498 246.857484 \nL 69.031475 248.883881 \nL 72.505626 250.566339 \nL 76.012245 252.017234 \nL 79.681209 253.292518 \nL 83.609921 254.419064 \nL 87.89579 255.413086 \nL 92.701158 256.293914 \nL 98.188368 257.067111 \nL 104.584703 257.737787 \nL 112.312254 258.31631 \nL 121.922989 258.803076 \nL 134.390971 259.200593 \nL 151.534445 259.510179 \nL 177.087313 259.730109 \nL 221.212278 259.858967 \nL 335.112483 259.90247 \nL 370.990398 259.903447 \nL 370.990398 259.903447 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p5a52821395)\" d=\"M 46.335852 42.27818 \nL 48.1541 65.273772 \nL 49.972347 85.522183 \nL 51.823063 103.682437 \nL 53.673779 119.704191 \nL 55.556963 134.112421 \nL 57.472617 147.078389 \nL 59.420739 158.756974 \nL 61.40133 169.286033 \nL 63.414389 178.7871 \nL 65.427449 187.238281 \nL 67.472977 194.889225 \nL 69.550974 201.81652 \nL 71.661439 208.087446 \nL 73.804374 213.761508 \nL 75.947308 218.819329 \nL 78.122711 223.396461 \nL 80.330583 227.533318 \nL 82.570923 231.266757 \nL 84.843732 234.630657 \nL 87.181479 237.696349 \nL 89.551694 240.443426 \nL 91.986846 242.931379 \nL 94.519405 245.202402 \nL 97.14937 247.26147 \nL 99.876741 249.11594 \nL 102.766455 250.810482 \nL 105.818513 252.340555 \nL 109.065383 253.718885 \nL 112.572003 254.964274 \nL 116.40331 256.085256 \nL 120.624241 257.083834 \nL 125.332203 257.964233 \nL 130.65707 258.729474 \nL 136.826123 259.386304 \nL 144.16405 259.937259 \nL 153.222817 260.385071 \nL 164.976487 260.731127 \nL 181.503056 260.978698 \nL 208.387141 261.133516 \nL 268.097083 261.205027 \nL 370.990398 261.215519 \nL 370.990398 261.215519 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p5a52821395)\" d=\"M 46.335852 261.216 \nL 47.926819 241.290474 \nL 49.485316 224.47411 \nL 51.043814 210.023759 \nL 52.569843 197.905818 \nL 54.063403 187.773174 \nL 55.524495 179.332411 \nL 56.953118 172.334873 \nL 58.349272 166.569481 \nL 59.712957 161.856549 \nL 61.044174 158.042749 \nL 62.310453 155.065458 \nL 63.544264 152.716183 \nL 64.713137 150.946432 \nL 65.849542 149.61289 \nL 66.953478 148.650879 \nL 68.024945 148.004455 \nL 69.096412 147.616936 \nL 70.167879 147.466212 \nL 71.271815 147.536963 \nL 72.440688 147.8391 \nL 73.706968 148.404269 \nL 75.103122 149.28316 \nL 76.629151 150.513515 \nL 78.349992 152.192339 \nL 80.330583 154.445647 \nL 82.63586 157.417719 \nL 85.428169 161.399606 \nL 88.999726 166.905787 \nL 94.714217 176.185306 \nL 103.188548 189.887655 \nL 108.058854 197.323758 \nL 112.377191 203.519862 \nL 116.435779 208.961153 \nL 120.364492 213.859236 \nL 124.195798 218.283265 \nL 127.994636 222.331224 \nL 131.761006 226.022223 \nL 135.527375 229.406201 \nL 139.358682 232.55035 \nL 143.222457 235.435349 \nL 147.183639 238.115782 \nL 151.242227 240.593126 \nL 155.430689 242.887989 \nL 159.749026 245.000612 \nL 164.262176 246.960201 \nL 169.002606 248.773619 \nL 173.970318 250.434915 \nL 179.262716 251.968125 \nL 184.91227 253.370483 \nL 190.983917 254.645952 \nL 197.575063 255.800589 \nL 204.815584 256.839417 \nL 212.835353 257.761407 \nL 221.861652 258.570682 \nL 232.186699 259.267984 \nL 244.297525 259.856328 \nL 258.90844 260.335468 \nL 277.350663 260.707517 \nL 302.286626 260.97416 \nL 340.534756 261.138706 \nL 370.990398 261.184842 \nL 370.990398 261.184842 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p5a52821395)\" d=\"M 46.335852 261.216 \nL 47.082632 261.102966 \nL 47.861881 260.755073 \nL 48.738536 260.103325 \nL 49.712597 259.081702 \nL 50.816533 257.579742 \nL 52.082812 255.453581 \nL 53.511435 252.599773 \nL 55.167339 248.773351 \nL 57.115461 243.678565 \nL 59.420739 236.991772 \nL 62.245516 228.080383 \nL 66.044354 215.301805 \nL 82.376111 159.48409 \nL 86.532105 146.535499 \nL 90.363411 135.311428 \nL 93.999906 125.329022 \nL 97.538994 116.25421 \nL 100.980677 108.032442 \nL 104.357422 100.532555 \nL 107.701698 93.640727 \nL 111.013505 87.320462 \nL 114.292844 81.533814 \nL 117.572183 76.191842 \nL 120.851522 71.268998 \nL 124.16333 66.696626 \nL 127.475137 62.499201 \nL 130.819413 58.614824 \nL 134.228627 54.994761 \nL 137.670309 51.66188 \nL 141.176929 48.572027 \nL 144.780955 45.69155 \nL 148.482387 43.017649 \nL 152.313694 40.526024 \nL 156.242407 38.235061 \nL 160.365932 36.08934 \nL 164.6518 34.110569 \nL 169.16495 32.273503 \nL 173.937849 30.573633 \nL 179.002966 29.008697 \nL 184.392771 27.577811 \nL 190.204668 26.26717 \nL 196.536065 25.071425 \nL 203.41943 24.000406 \nL 211.082043 23.037555 \nL 219.588843 22.195167 \nL 229.329453 21.458163 \nL 240.693499 20.828544 \nL 254.330354 20.306236 \nL 270.856923 19.900753 \nL 292.318734 19.599594 \nL 324.884842 19.390683 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_17\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_18\"/>\n    <g id=\"text_13\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_19\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_20\"/>\n    <g id=\"text_14\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_21\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_22\"/>\n    <g id=\"text_15\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_23\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_24\"/>\n    <g id=\"text_16\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p5a52821395\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -407,18 +413,78 @@
     "scipy.io.savemat(\"SEIR_fitRandomSample_RK4.mat\", {\"x\": results_test_np})"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Mean Squared Error Loss"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs={\"a\": 0.1, \"g1\": 0.3, \"g2\": 0.2},\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None,\n",
+    ")\n",
+    "\n",
+    "result_train = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs={'a': 0.09994731843471527, 'g1': 0.2934265434741974, 'g2': 0.1998223513364792},\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None,\n",
+    ")\n",
+    "\n",
+    "result_test = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tensor(1.3294e-07, grad_fn=<MseLossBackward>)"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "loss = torch.nn.MSELoss()\n",
+    "loss(result_train,result_test)"
+   ]
   }
  ],
  "metadata": {
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  },
   "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)",
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -431,9 +497,6 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
   }
  },
  "nbformat": 4,
diff --git a/examples/ode/lorenz63/Lorenz63Train_fit.ipynb b/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
index 2d60ae71..0cb84266 100644
--- a/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
@@ -25,7 +25,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -49,15 +49,15 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -79,7 +79,6 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
@@ -91,8 +90,9 @@
        "        [-5.7641e+00, -6.2715e+00,  2.2854e+01]], grad_fn=<StackBackward>)"
       ]
      },
+     "execution_count": 5,
      "metadata": {},
-     "execution_count": 5
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -105,29 +105,34 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stderr",
+     "output_type": "stream",
      "text": [
-      "<ipython-input-6-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+      "<ipython-input-6-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n",
+      "  ax = fig.gca(projection='3d')\n"
      ]
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "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",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:07.933403</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mbdbfe0d7d8\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"md775802c18\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pc7ad1ff173)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pc7ad1ff173\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "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",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:09.303618</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#pfd544c78f9)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pfd544c78f9\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -145,11 +150,11 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -157,10 +162,11 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stderr",
+     "output_type": "stream",
      "text": [
-      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:25: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n  self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n"
+      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:25: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
+      "  self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n"
      ]
     }
    ],
@@ -187,8 +193,8 @@
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "ameter containing:\n",
       "tensor(16.9669, requires_grad=True), 'beta': Parameter containing:\n",
@@ -593,7 +599,6 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "{'sigma': Parameter containing:\n",
@@ -604,8 +609,9 @@
        " tensor(3.4880, requires_grad=True)}"
       ]
      },
+     "execution_count": 9,
      "metadata": {},
-     "execution_count": 9
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -615,11 +621,11 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# Predictions for nt = 10000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -636,7 +642,6 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
@@ -648,8 +653,9 @@
        "        [-7.8803e+00, -7.8803e+00,  1.7804e+01]], grad_fn=<StackBackward>)"
       ]
      },
+     "execution_count": 11,
      "metadata": {},
-     "execution_count": 11
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -662,29 +668,34 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stderr",
+     "output_type": "stream",
      "text": [
-      "<ipython-input-12-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+      "<ipython-input-12-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n",
+      "  ax = fig.gca(projection='3d')\n"
      ]
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "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",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:31:33.456530</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m7a72b34c5f\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.277999\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −15 -->\n      <g transform=\"translate(17.725655 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"79.267612\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −10 -->\n      <g transform=\"translate(68.715269 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"130.257226\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −5 -->\n      <g transform=\"translate(122.886132 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"181.246839\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0 -->\n      <g transform=\"translate(178.065589 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"232.236453\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 5 -->\n      <g transform=\"translate(229.055203 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"283.226066\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(276.863566 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"334.21568\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 15 -->\n      <g transform=\"translate(327.85318 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"md74d42768b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"225.481893\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 5 -->\n      <g transform=\"translate(13.5625 229.281112)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"189.747787\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 193.547005)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"154.01368\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 15 -->\n      <g transform=\"translate(7.2 157.812899)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"118.279573\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 122.078792)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"82.545467\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 25 -->\n      <g transform=\"translate(7.2 86.344686)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"46.81136\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 50.610579)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"11.077254\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 35 -->\n      <g transform=\"translate(7.2 14.876472)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pb5baa9df20)\" d=\"M 191.444762 261.216 \nL 186.817205 261.173084 \nL 187.067773 261.129719 \nL 195.174914 260.496629 \nL 200.493246 259.832074 \nL 205.120792 259.080593 \nL 210.843938 257.926326 \nL 217.903293 256.157073 \nL 222.019667 254.947599 \nL 226.576958 253.454232 \nL 231.614201 251.612943 \nL 237.170703 249.34666 \nL 243.284554 246.563371 \nL 249.990513 243.154369 \nL 257.317017 238.992973 \nL 265.282058 233.934179 \nL 273.887722 227.815988 \nL 283.113007 220.463389 \nL 292.904852 211.696347 \nL 303.167177 201.343351 \nL 313.748371 189.262193 \nL 324.428008 175.369213 \nL 334.904488 159.677097 \nL 344.786595 142.338727 \nL 353.593168 123.690821 \nL 360.766286 104.285783 \nL 365.703415 84.895793 \nL 367.812273 66.471635 \nL 366.587269 50.045333 \nL 361.698436 36.581957 \nL 353.074741 26.809754 \nL 340.957433 21.078234 \nL 325.90144 19.296 \nL 308.715174 20.974799 \nL 290.349876 25.364271 \nL 271.767058 31.625237 \nL 253.818901 38.982461 \nL 237.167698 46.818708 \nL 222.253464 54.704328 \nL 209.303074 62.379655 \nL 198.36582 69.714686 \nL 189.359836 76.665392 \nL 182.117872 83.237333 \nL 176.426052 89.459858 \nL 172.053338 95.370072 \nL 168.771994 101.004181 \nL 166.370451 106.39355 \nL 164.660358 111.563643 \nL 163.479476 116.534376 \nL 162.691764 121.320988 \nL 162.185744 125.935108 \nL 161.679633 134.679593 \nL 161.026508 153.966202 \nL 160.468877 160.724171 \nL 159.604778 166.963157 \nL 159.043435 169.89156 \nL 158.389612 172.693647 \nL 157.638762 175.369643 \nL 156.786152 177.919227 \nL 155.826676 180.341479 \nL 154.754724 182.634771 \nL 153.5641 184.79667 \nL 152.247946 186.823841 \nL 150.798713 188.711897 \nL 149.208144 190.455261 \nL 147.46728 192.047002 \nL 145.566488 193.478634 \nL 143.495512 194.739914 \nL 141.243558 195.8186 \nL 138.799422 196.700223 \nL 136.151645 197.367798 \nL 133.28877 197.801579 \nL 130.199627 197.978767 \nL 126.87375 197.873307 \nL 123.301896 197.455673 \nL 119.476697 196.692801 \nL 115.393477 195.548138 \nL 111.05128 193.981902 \nL 106.454067 191.951656 \nL 101.612185 189.413297 \nL 96.544034 186.322537 \nL 91.27795 182.637089 \nL 85.854283 178.319604 \nL 80.327478 173.341503 \nL 74.768102 167.687724 \nL 69.264491 161.362254 \nL 63.923793 154.394237 \nL 58.871845 146.844081 \nL 54.251602 138.808814 \nL 50.21944 130.425536 \nL 46.939088 121.871823 \nL 44.572952 113.361704 \nL 43.270952 105.136441 \nL 43.157727 97.449909 \nL 44.319302 90.549572 \nL 46.791124 84.655252 \nL 50.549416 79.938992 \nL 55.507844 76.50957 \nL 61.520555 74.404543 \nL 68.391862 73.591493 \nL 75.891367 73.977632 \nL 83.772317 75.42569 \nL 91.790561 77.772377 \nL 99.721339 80.846194 \nL 107.372008 84.481859 \nL 114.589732 88.5303 \nL 121.264137 92.863884 \nL 127.325747 97.377948 \nL 132.741376 101.989642 \nL 137.507778 106.63525 \nL 141.644652 111.266927 \nL 145.187857 115.849449 \nL 148.183403 120.357352 \nL 150.682471 124.772493 \nL 152.737542 129.082167 \nL 154.399588 133.27765 \nL 155.716175 137.353135 \nL 156.73032 141.304874 \nL 157.479925 145.130617 \nL 157.997623 148.829178 \nL 158.310928 152.400074 \nL 158.442543 155.843284 \nL 158.410784 159.159059 \nL 158.230043 162.347756 \nL 157.911239 165.409693 \nL 157.462254 168.345055 \nL 156.888326 171.153767 \nL 156.192384 173.835406 \nL 155.375354 176.389093 \nL 154.436404 178.813397 \nL 153.373144 181.106233 \nL 152.181808 183.26473 \nL 150.857384 185.285113 \nL 149.393751 187.16257 \nL 147.78377 188.891082 \nL 146.019397 190.463255 \nL 144.091787 191.870133 \nL 141.991398 193.100988 \nL 139.708143 194.143094 \nL 137.231545 194.981484 \nL 134.55096 195.598697 \nL 131.655835 195.974551 \nL 128.53608 196.085886 \nL 125.182491 195.906394 \nL 121.587315 195.406487 \nL 117.744946 194.553279 \nL 113.652788 193.310742 \nL 109.312294 191.640095 \nL 104.730208 189.500512 \nL 99.920016 186.850245 \nL 94.903615 183.64832 \nL 89.713127 179.856853 \nL 84.392852 175.444152 \nL 79.001163 170.388632 \nL 73.612294 164.68351 \nL 68.317598 158.342186 \nL 63.226096 151.40392 \nL 58.463841 143.939226 \nL 54.171687 136.054233 \nL 50.501012 127.892902 \nL 47.607181 119.635906 \nL 45.640598 111.495309 \nL 44.735777 103.704277 \nL 44.999201 96.502126 \nL 46.497298 90.115995 \nL 49.246238 84.741389 \nL 53.20541 80.524682 \nL 58.276119 77.550784 \nL 64.306268 75.838138 \nL 71.10086 75.341979 \nL 78.436967 75.964775 \nL 86.080984 77.571517 \nL 93.805781 80.006658 \nL 101.405377 83.109769 \nL 108.705607 86.727973 \nL 115.570203 90.724218 \nL 121.902363 94.98148 \nL 127.642696 99.403709 \nL 132.764639 103.914638 \nL 137.268429 108.455284 \nL 141.174682 112.98099 \nL 144.51822 117.458577 \nL 147.342663 121.863739 \nL 149.695966 126.178934 \nL 151.626978 130.391661 \nL 153.182948 134.493142 \nL 154.407838 138.477337 \nL 155.341327 142.340212 \nL 156.018314 146.079136 \nL 156.468797 149.692521 \nL 156.718005 153.179447 \nL 156.786701 156.53943 \nL 156.691557 159.772231 \nL 156.445575 162.877686 \nL 156.058505 165.855572 \nL 155.537238 168.705471 \nL 154.886162 171.426669 \nL 154.107483 174.018047 \nL 153.201487 176.477957 \nL 152.166782 178.804128 \nL 151.000488 180.993528 \nL 149.698409 183.042257 \nL 148.25517 184.945382 \nL 146.664351 186.696809 \nL 144.918605 188.289089 \nL 143.009779 189.713258 \nL 140.929048 190.958623 \nL 138.667067 192.012555 \nL 136.214156 192.860263 \nL 133.560515 193.484564 \nL 130.696527 193.865673 \nL 127.613092 193.981002 \nL 124.3021 193.804992 \nL 120.756976 193.309045 \nL 116.973374 192.461549 \nL 112.950018 191.228097 \nL 108.689726 189.571907 \nL 104.200597 187.45457 \nL 99.497405 184.837237 \nL 94.603175 181.682279 \nL 89.550857 177.955589 \nL 84.385149 173.629571 \nL 79.164191 168.686878 \nL 73.961099 163.124825 \nL 68.865026 156.96037 \nL 63.981446 150.235232 \nL 59.431324 143.020709 \nL 55.348735 135.421364 \nL 51.876674 127.576624 \nL 49.160703 119.659297 \nL 47.340537 111.870229 \nL 46.539886 104.428436 \nL 46.855351 97.557311 \nL 48.34557 91.467829 \nL 51.022173 86.340975 \nL 54.844157 82.312191 \nL 59.717029 79.460363 \nL 65.49732 77.803511 \nL 72.002267 77.301682 \nL 79.023473 77.866311 \nL 86.3426 79.37383 \nL 93.746952 81.680863 \nL 101.042854 84.638417 \nL 108.065558 88.103321 \nL 114.684945 91.945967 \nL 120.807233 96.054522 \nL 126.373349 100.33617 \nL 131.354928 104.716278 \nL 135.748947 109.136327 \nL 139.571879 113.551427 \nL 142.854054 117.927663 \nL 145.634603 122.239805 \nL 147.957266 126.469258 \nL 149.867105 130.602513 \nL 151.408081 134.629811 \nL 152.621393 138.544213 \nL 153.544449 142.340853 \nL 154.210323 146.01635 \nL 154.647574 149.568386 \nL 154.880319 152.995388 \nL 154.928465 156.296244 \nL 154.808037 159.470103 \nL 154.531546 162.5162 \nL 154.108377 165.433705 \nL 153.545142 168.221581 \nL 152.846018 170.878479 \nL 152.013043 173.4026 \nL 151.046385 175.791585 \nL 149.944562 178.04238 \nL 148.704638 180.151129 \nL 147.322405 182.11302 \nL 145.792521 183.922135 \nL 144.108668 185.571299 \nL 142.263683 187.051903 \nL 140.249702 188.353723 \nL 138.058344 189.464715 \nL 135.680868 190.37082 \nL 133.108435 191.055755 \nL 130.332365 191.500816 \nL 127.344503 191.684711 \nL 124.137627 191.583422 \nL 120.70601 191.17015 \nL 117.046043 190.415375 \nL 113.15704 189.287043 \nL 109.042178 187.751013 \nL 104.7096 185.77175 \nL 100.173691 183.313415 \nL 95.4565 180.341418 \nL 90.589307 176.82451 \nL 85.614219 172.737492 \nL 80.585728 168.064594 \nL 75.572089 162.803436 \nL 70.65623 156.969496 \nL 65.936047 150.600705 \nL 61.523647 143.761785 \nL 57.543284 136.547597 \nL 54.127602 129.08473 \nL 51.412097 121.530477 \nL 49.527626 114.068346 \nL 48.591421 106.899755 \nL 48.697079 100.23208 \nL 49.904771 94.263946 \nL 52.232744 89.169562 \nL 55.651762 85.084235 \nL 60.083476 82.093679 \nL 65.403615 80.228701 \nL 71.44982 79.466334 \nL 78.033233 79.73685 \nL 84.95237 80.934989 \nL 92.007265 82.933296 \nL 99.012209 85.595183 \nL 105.805571 88.785931 \nL 112.256075 92.380743 \nL 118.265396 96.269573 \nL 123.767616 100.359167 \nL 128.726253 104.573025 \nL 133.129783 108.850011 \nL 136.986492 113.142264 \nL 140.319264 117.412966 \nL 143.160806 121.634144 \nL 145.549546 125.784766 \nL 147.526334 129.849169 \nL 149.131914 133.815753 \nL 150.405146 137.676011 \nL 151.381827 141.4237 \nL 152.093991 145.054281 \nL 152.569612 148.564421 \nL 152.832545 151.951639 \nL 152.902678 155.214027 \nL 152.796174 158.349997 \nL 152.525786 161.358097 \nL 152.1012 164.236854 \nL 151.529358 166.984606 \nL 150.814777 169.599383 \nL 149.959843 172.078765 \nL 148.965065 174.419753 \nL 147.829307 176.618647 \nL 146.549989 178.670908 \nL 145.12327 180.571006 \nL 143.544224 182.312285 \nL 141.806988 183.886796 \nL 139.904933 185.285113 \nL 137.83084 186.496174 \nL 135.577087 187.507092 \nL 133.135871 188.302959 \nL 130.499478 188.866682 \nL 127.660615 189.178836 \nL 124.6128 189.217536 \nL 121.350835 188.958381 \nL 117.871407 188.374504 \nL 114.173787 187.43674 \nL 110.260675 186.113995 \nL 106.13917 184.373848 \nL 101.82191 182.183467 \nL 97.328327 179.510947 \nL 92.686036 176.32709 \nL 87.932272 172.607714 \nL 83.115272 168.336555 \nL 78.295568 163.508694 \nL 73.54691 158.134422 \nL 68.956621 152.243339 \nL 64.625186 145.888296 \nL 60.664711 139.148633 \nL 57.195996 132.132142 \nL 54.344004 124.974866 \nL 52.231723 117.8382 \nL 50.972485 110.902653 \nL 50.661308 104.358357 \nL 51.365979 98.392866 \nL 53.118912 93.177408 \nL 55.911131 88.853421 \nL 59.689292 85.521505 \nL 64.356772 83.234443 \nL 69.778873 81.995587 \nL 75.791778 81.762584 \nL 82.214137 82.455595 \nL 88.859724 83.96828 \nL 95.549543 86.179551 \nL 102.121981 88.964381 \nL 108.44014 92.202443 \nL 114.395903 95.783992 \nL 119.910975 99.61317 \nL 124.935405 103.609143 \nL 129.444345 107.705594 \nL 133.433768 111.849345 \nL 136.915821 115.998523 \nL 139.914294 120.120587 \nL 142.46057 124.190551 \nL 144.590194 128.189332 \nL 146.340151 132.102494 \nL 147.74684 135.919104 \nL 148.844622 139.630928 \nL 149.664907 143.231752 \nL 150.235621 146.716831 \nL 150.580996 150.082477 \nL 150.721553 153.325747 \nL 150.674268 156.444166 \nL 150.452782 159.435499 \nL 150.067698 162.297565 \nL 149.526873 165.028059 \nL 148.835711 167.624427 \nL 147.997447 170.083695 \nL 147.013401 172.402349 \nL 145.883213 174.576188 \nL 144.605067 176.600197 \nL 143.175871 178.468385 \nL 141.591461 180.173662 \nL 139.846765 181.707647 \nL 137.935992 183.060537 \nL 135.852834 184.22093 \nL 133.590669 185.175652 \nL 131.142825 185.909605 \nL 128.502853 186.405634 \nL 125.664905 186.644403 \nL 122.624126 186.604333 \nL 119.377181 186.261624 \nL 115.92285 185.590363 \nL 112.262752 184.562801 \nL 108.402177 183.149803 \nL 104.351045 181.321583 \nL 100.125015 179.048724 \nL 95.74666 176.30361 \nL 91.246721 173.062276 \nL 86.665399 169.306756 \nL 82.05351 165.027909 \nL 77.473472 160.228653 \nL 72.999851 154.927521 \nL 68.719348 149.162202 \nL 64.729901 142.992779 \nL 61.138732 136.504058 \nL 58.059056 129.806476 \nL 55.605401 123.034915 \nL 53.887537 116.344898 \nL 53.003247 109.905919 \nL 53.030488 103.892133 \nL 54.019717 98.470989 \nL 55.987311 93.791138 \nL 58.911175 89.971216 \nL 62.729327 87.091184 \nL 67.342062 85.187548 \nL 72.617668 84.253287 \nL 78.40109 84.242177 \nL 84.524487 85.076601 \nL 90.818391 86.657335 \nL 97.12202 88.873663 \nL 103.291705 91.6125 \nL 109.206762 94.765475 \nL 114.772552 98.233814 \nL 119.921007 101.930985 \nL 124.60908 105.783582 \nL 128.815737 109.730891 \nL 132.538147 113.723742 \nL 135.787586 117.722959 \nL 138.5855 121.697681 \nL 140.95996 125.623833 \nL 142.942673 129.482728 \nL 144.566622 133.259943 \nL 145.864261 136.944314 \nL 146.866257 140.527212 \nL 147.600661 144.001903 \nL 148.092433 147.363051 \nL 148.36323 150.606342 \nL 148.431391 153.728142 \nL 148.312054 156.725261 \nL 148.01735 159.594701 \nL 147.556641 162.333483 \nL 146.936794 164.938466 \nL 146.162428 167.406193 \nL 145.236181 169.732746 \nL 144.158941 171.913599 \nL 142.930076 173.943476 \nL 141.547638 175.816203 \nL 140.008573 177.524575 \nL 138.308906 179.060195 \nL 136.44395 180.413324 \nL 134.40851 181.572729 \nL 132.197122 182.525549 \nL 129.804305 183.257144 \nL 127.224869 183.750999 \nL 124.454275 183.98863 \nL 121.489048 183.949569 \nL 118.327275 183.611419 \nL 114.969197 182.950006 \nL 111.417898 181.939696 \nL 107.680093 180.553878 \nL 103.767034 178.765714 \nL 99.695513 176.549175 \nL 95.488924 173.880403 \nL 91.178399 170.739492 \nL 86.80389 167.11268 \nL 82.415182 162.994917 \nL 78.072592 158.3928 \nL 73.84736 153.327676 \nL 69.821422 147.838681 \nL 66.086394 141.985412 \nL 62.741571 135.849692 \nL 59.890775 129.536041 \nL 57.638 123.170249 \nL 56.081872 116.895651 \nL 55.309211 110.867047 \nL 55.388182 105.242317 \nL 56.361636 100.172511 \nL 58.241594 95.791394 \nL 61.005599 92.205838 \nL 64.595737 89.488443 \nL 68.920666 87.673521 \nL 73.860693 86.756899 \nL 79.275364 86.699579 \nL 85.012639 87.434247 \nL 90.918602 88.873622 \nL 96.846487 90.919121 \nL 102.664133 93.468835 \nL 108.259338 96.423895 \nL 113.542763 99.692955 \nL 118.448668 103.19491 \nL 122.933791 106.85991 \nL 126.974934 110.629355 \nL 130.565714 114.455003 \nL 133.71306 118.297785 \nL 136.433694 122.126418 \nL 138.750979 125.916078 \nL 140.692169 129.647137 \nL 142.286209 133.304136 \nL 143.562027 136.874902 \nL 144.547285 140.349757 \nL 145.267548 143.720986 \nL 145.74577 146.982324 \nL 146.002023 150.128538 \nL 146.053432 153.155142 \nL 145.91423 156.058095 \nL 145.595908 158.833587 \nL 145.107396 161.477835 \nL 144.455309 163.9869 \nL 143.644168 166.356529 \nL 142.676639 168.58199 \nL 141.55376 170.657949 \nL 140.275159 172.57829 \nL 138.839267 174.336008 \nL 137.243527 175.923047 \nL 135.484603 177.330156 \nL 133.558599 178.546759 \nL 131.461306 179.560832 \nL 129.188438 180.358771 \nL 126.735959 180.925302 \nL 124.100403 181.24344 \nL 121.27927 181.294449 \nL 118.271504 181.05793 \nL 115.078025 180.511955 \nL 111.702354 179.633392 \nL 108.151322 178.398339 \nL 104.43589 176.782791 \nL 100.572023 174.763573 \nL 96.581633 172.319565 \nL 92.493569 169.433242 \nL 88.344565 166.092589 \nL 84.180078 162.293339 \nL 80.05494 158.041483 \nL 76.033661 153.355961 \nL 72.190252 148.271269 \nL 68.607349 142.839792 \nL 65.374526 137.133437 \nL 62.585643 131.244092 \nL 60.335163 125.282664 \nL 58.713455 119.376172 \nL 57.801311 113.662837 \nL 57.664016 108.285245 \nL 58.34552 103.382029 \nL 59.863427 99.078953 \nL 62.205395 95.480337 \nL 65.327717 92.662111 \nL 69.156383 90.667443 \nL 73.590752 89.505442 \nL 78.50949 89.153177 \nL 83.778162 89.560417 \nL 89.257546 90.656197 \nL 94.811757 92.356234 \nL 100.315309 94.570013 \nL 105.658497 97.206941 \nL 110.750811 100.18099 \nL 115.522432 103.413736 \nL 119.923953 106.836042 \nL 123.924814 110.388569 \nL 127.510814 114.02144 \nL 130.681165 117.693393 \nL 133.445433 121.370757 \nL 135.820633 125.026284 \nL 137.828613 128.638053 \nL 139.49389 132.188481 \nL 140.841898 135.663432 \nL 141.897639 139.051522 \nL 142.684765 142.343484 \nL 143.224917 145.531669 \nL 143.537365 148.609644 \nL 143.638829 151.571832 \nL 143.543441 154.413232 \nL 143.262822 157.129155 \nL 142.806217 159.715013 \nL 142.18068 162.166157 \nL 141.391279 164.477661 \nL 140.441299 166.6442 \nL 139.332466 168.659874 \nL 138.065161 170.518083 \nL 136.63863 172.211365 \nL 135.051205 173.731289 \nL 133.300519 175.068298 \nL 131.38374 176.211605 \nL 129.297825 177.149082 \nL 127.039793 177.867175 \nL 124.607038 178.350834 \nL 121.997692 178.583502 \nL 119.211021 178.547175 \nL 116.247905 178.222493 \nL 113.111384 177.588997 \nL 109.807258 176.62547 \nL 106.344787 175.310489 \nL 102.737439 173.62315 \nL 99.003719 171.544056 \nL 95.168012 169.05657 \nL 91.261397 166.148355 \nL 87.322444 162.813203 \nL 83.397836 159.053122 \nL 79.542727 154.880608 \nL 75.82076 150.320912 \nL 72.303544 145.414166 \nL 69.069515 140.217068 \nL 66.20201 134.80379 \nL 63.786469 129.265742 \nL 61.906793 123.70996 \nL 60.640922 118.255787 \nL 60.055866 113.0299 \nL 60.202614 108.159876 \nL 61.111345 103.766805 \nL 62.787554 99.957679 \nL 65.209708 96.818499 \nL 68.328782 94.409039 \nL 72.069967 92.759889 \nL 76.336571 91.872194 \nL 81.015586 91.719998 \nL 85.984478 92.254679 \nL 91.118344 93.410751 \nL 96.296705 95.112069 \nL 101.409257 97.277757 \nL 106.360187 99.827198 \nL 111.07077 102.683825 \nL 115.480413 105.777653 \nL 119.546239 109.046604 \nL 123.241656 112.436958 \nL 126.55417 115.903116 \nL 129.482867 119.406938 \nL 132.035781 122.916894 \nL 134.227417 126.407098 \nL 136.07653 129.856408 \nL 137.604255 133.247565 \nL 138.83259 136.566476 \nL 139.783253 139.80154 \nL 140.476827 142.943119 \nL 140.932216 145.983075 \nL 141.166289 148.914396 \nL 141.193713 151.730843 \nL 141.026908 154.426721 \nL 140.676105 156.996589 \nL 140.149452 159.435104 \nL 139.45317 161.736786 \nL 138.591748 163.895883 \nL 137.568125 165.906192 \nL 136.383895 167.760939 \nL 135.03952 169.452612 \nL 133.534538 170.972856 \nL 131.867797 172.31234 \nL 130.037678 173.460649 \nL 128.042346 174.406197 \nL 125.880042 175.136156 \nL 123.549376 175.636417 \nL 121.049675 175.891592 \nL 118.381378 175.885083 \nL 115.546483 175.599217 \nL 112.549051 175.015483 \nL 109.395772 174.114913 \nL 106.096582 172.878571 \nL 102.665364 171.288289 \nL 99.120639 169.32755 \nL 95.486318 166.982656 \nL 91.792409 164.244092 \nL 88.075655 161.108177 \nL 84.379995 157.578864 \nL 80.756868 153.669683 \nL 77.265074 149.405681 \nL 73.970261 144.825163 \nL 70.943803 139.981053 \nL 68.261063 134.941509 \nL 65.998845 129.789668 \nL 64.232247 124.62211 \nL 63.030759 119.545952 \nL 62.454037 114.674592 \nL 62.547538 110.122237 \nL 63.338445 105.997651 \nL 64.832369 102.3977 \nL 67.011308 99.401487 \nL 69.83319 97.065733 \nL 73.233224 95.422076 \nL 77.12705 94.476501 \nL 81.415343 94.210974 \nL 85.989506 94.586862 \nL 90.737786 95.549585 \nL 95.5511 97.033822 \nL 100.32822 98.968619 \nL 104.979701 101.281786 \nL 109.430492 103.903474 \nL 113.621165 106.768675 \nL 117.507931 109.818678 \nL 121.061647 113.001805 \nL 124.26615 116.273415 \nL 127.116197 119.595543 \nL 129.615231 122.936264 \nL 131.773222 126.268984 \nL 133.604654 129.571592 \nL 135.126811 132.825794 \nL 136.358332 136.016378 \nL 137.318102 139.130653 \nL 138.024387 142.157932 \nL 138.49425 145.089068 \nL 138.74316 147.916094 \nL 138.784751 150.631894 \nL 138.630752 153.229931 \nL 138.290977 155.704011 \nL 137.773396 158.048046 \nL 137.084262 160.255896 \nL 136.228253 162.321188 \nL 135.208661 164.237161 \nL 134.027572 165.996528 \nL 132.686076 167.591343 \nL 131.18446 169.012881 \nL 129.52246 170.25154 \nL 127.699479 171.296754 \nL 125.71485 172.13691 \nL 123.568126 172.759323 \nL 121.259405 173.150247 \nL 118.789664 173.294904 \nL 116.161168 173.177605 \nL 113.377916 172.781965 \nL 110.446121 172.091176 \nL 107.37477 171.088458 \nL 104.176205 169.757637 \nL 100.866725 168.083889 \nL 97.467246 166.05468 \nL 94.003909 163.660924 \nL 90.508624 160.898307 \nL 87.019534 157.768819 \nL 83.581269 154.28235 \nL 80.244976 150.458372 \nL 77.067919 146.327461 \nL 74.11271 141.932577 \nL 71.445979 137.329798 \nL 69.136407 132.588415 \nL 67.252237 127.790039 \nL 65.858165 123.026641 \nL 65.011823 118.397404 \nL 64.76005 114.004564 \nL 65.135318 109.948381 \nL 66.152517 106.321712 \nL 67.806708 103.204711 \nL 70.07198 100.660327 \nL 72.901798 98.731009 \nL 76.230816 97.437123 \nL 79.978118 96.777154 \nL 84.051575 96.729635 \nL 88.352802 97.256328 \nL 92.782377 98.306361 \nL 97.244639 99.82056 \nL 101.651772 101.735578 \nL 105.926853 103.987526 \nL 110.00577 106.514734 \nL 113.838019 109.259746 \nL 117.386518 112.170517 \nL 120.626655 115.200904 \nL 123.544824 118.310762 \nL 126.13664 121.465605 \nL 128.405049 124.63611 \nL 130.358512 127.797523 \nL 132.009333 130.929014 \nL 133.372196 134.013055 \nL 134.462968 137.034854 \nL 135.297752 139.981857 \nL 135.892164 142.843269 \nL 136.260819 145.609709 \nL 136.416996 148.272823 \nL 136.372443 150.825032 \nL 136.137286 153.259246 \nL 135.720038 155.568671 \nL 135.127653 157.746579 \nL 134.36564 159.786155 \nL 133.438203 161.680345 \nL 132.348407 163.421685 \nL 131.09836 165.0022 \nL 129.689412 166.413283 \nL 128.122367 167.645603 \nL 126.397711 168.689018 \nL 124.515876 169.53252 \nL 122.477504 170.16423 \nL 120.283753 170.571389 \nL 117.936631 170.740426 \nL 115.439366 170.657097 \nL 112.796822 170.306666 \nL 110.015943 169.674219 \nL 107.10624 168.745064 \nL 104.080326 167.505274 \nL 100.954445 165.942377 \nL 97.749013 164.046224 \nL 94.489153 161.809987 \nL 91.205135 159.23134 \nL 87.932719 156.313774 \nL 84.713366 153.067989 \nL 81.594117 149.513254 \nL 78.627257 145.678684 \nL 75.869543 141.604276 \nL 73.380973 137.341426 \nL 71.22308 132.952935 \nL 69.456716 128.512167 \nL 68.139358 124.101333 \nL 67.322164 119.808848 \nL 67.046757 115.725729 \nL 67.342179 111.941453 \nL 68.222249 108.539336 \nL 69.683583 105.592128 \nL 71.70458 103.158105 \nL 74.245658 101.278174 \nL 77.250661 99.974336 \nL 80.649479 99.24955 \nL 84.361594 99.089122 \nL 88.300255 99.463101 \nL 92.376843 100.3296 \nL 96.505044 101.638345 \nL 100.604482 103.334264 \nL 104.603534 105.360611 \nL 108.441215 107.661605 \nL 112.068159 110.184301 \nL 115.446714 112.879899 \nL 118.550373 115.704437 \nL 121.362651 118.618997 \nL 123.8757 121.589624 \nL 126.088722 124.587023 \nL 128.00641 127.586057 \nL 129.637469 130.565286 \nL 130.99329 133.506427 \nL 132.086825 136.393861 \nL 132.931689 139.214146 \nL 133.541424 141.955655 \nL 133.92899 144.608136 \nL 134.106398 147.162471 \nL 134.084457 149.610324 \nL 133.872675 151.943931 \nL 133.479205 154.155856 \nL 132.910881 156.238828 \nL 132.17329 158.185547 \nL 131.27089 159.988528 \nL 130.207159 161.639989 \nL 128.984761 163.131709 \nL 127.605734 164.454951 \nL 126.071698 165.600356 \nL 124.384071 166.557906 \nL 122.544338 167.31688 \nL 120.554292 167.865854 \nL 118.416365 168.192743 \nL 116.133918 168.284906 \nL 113.711627 168.129296 \nL 111.155864 167.712684 \nL 108.475113 167.022011 \nL 105.680423 166.044797 \nL 102.785877 164.769708 \nL 99.809058 163.187237 \nL 96.771494 161.290532 \nL 93.699083 159.076344 \nL 90.622422 156.546096 \nL 87.57698 153.707054 \nL 84.603156 150.573469 \nL 81.746039 147.167712 \nL 79.054896 143.52123 \nL 76.582276 139.675176 \nL 74.382768 135.680662 \nL 72.51129 131.598374 \nL 71.020984 127.497507 \nL 69.960837 123.453947 \nL 69.373009 119.547724 \nL 69.290206 115.859727 \nL 69.733183 112.468051 \nL 70.708708 109.444139 \nL 72.208185 106.849169 \nL 74.207184 104.731041 \nL 76.665935 103.122227 \nL 79.530882 102.038783 \nL 82.737125 101.480547 \nL 86.211569 101.432428 \nL 89.876535 101.866604 \nL 93.653422 102.745289 \nL 97.466157 104.023731 \nL 101.244153 105.653129 \nL 104.924597 107.583237 \nL 108.453945 109.764547 \nL 111.788668 112.149824 \nL 114.895317 114.695244 \nL 117.750003 117.360989 \nL 120.337482 120.111508 \nL 122.649966 122.915435 \nL 124.685814 125.745399 \nL 126.44822 128.577652 \nL 127.943939 131.391667 \nL 129.182189 134.169721 \nL 130.173684 136.896454 \nL 130.929836 139.558504 \nL 131.462132 142.14411 \nL 131.781678 144.642801 \nL 131.898841 147.045138 \nL 131.82307 149.342417 \nL 131.562752 151.526446 \nL 131.125178 153.589366 \nL 130.516561 155.523455 \nL 129.74212 157.320977 \nL 128.806162 158.974053 \nL 127.712238 160.474538 \nL 126.4633 161.813913 \nL 125.061865 162.983214 \nL 123.510255 163.972976 \nL 121.810792 164.773191 \nL 119.966055 165.373331 \nL 117.97916 165.762366 \nL 115.854037 165.928868 \nL 113.595767 165.861133 \nL 111.210929 165.547412 \nL 108.707971 164.976184 \nL 106.097589 164.136553 \nL 103.393152 163.018724 \nL 100.611101 161.61458 \nL 97.771323 159.918415 \nL 94.897507 157.927714 \nL 92.017428 155.644087 \nL 89.163082 153.074212 \nL 86.370726 150.230849 \nL 83.680673 147.13375 \nL 81.136863 143.810477 \nL 78.786123 140.296963 \nL 76.6771 136.637728 \nL 74.85886 132.88565 \nL 73.379164 129.101115 \nL 72.28243 125.350631 \nL 71.607529 121.704742 \nL 71.385554 118.235462 \nL 71.637649 115.013198 \nL 72.373208 112.103586 \nL 73.588554 109.564369 \nL 75.266319 107.442629 \nL 77.375634 105.772786 \nL 79.873112 104.575329 \nL 82.70471 103.856595 \nL 85.808155 103.609484 \nL 89.115884 103.814938 \nL 92.558136 104.444044 \nL 96.065958 105.460462 \nL 99.573925 106.822874 \nL 103.022343 108.487373 \nL 106.358869 110.409452 \nL 109.539496 112.545655 \nL 112.528895 114.854719 \nL 115.300287 117.29842 \nL 117.834858 119.841932 \nL 120.120885 122.454051 \nL 122.152726 125.10705 \nL 123.929681 127.776557 \nL 125.454917 130.441198 \nL 126.734447 133.082311 \nL 127.776208 135.683538 \nL 128.589298 138.230539 \nL 129.183351 140.710623 \nL 129.568019 143.112449 \nL 129.752633 145.42578 \nL 129.745918 147.641209 \nL 129.555842 149.749944 \nL 129.189532 151.743609 \nL 128.653248 153.614087 \nL 127.952434 155.353348 \nL 127.091766 156.953329 \nL 126.075291 158.405818 \nL 124.906544 159.702356 \nL 123.588725 160.834177 \nL 122.124872 161.79215 \nL 120.518079 162.566752 \nL 118.77172 163.148108 \nL 116.889705 163.525999 \nL 114.876746 163.689979 \nL 112.738664 163.629531 \nL 110.482684 163.334239 \nL 108.117789 162.794105 \nL 105.655054 161.99988 \nL 103.108005 160.943536 \nL 100.49296 159.618781 \nL 97.829346 158.021703 \nL 95.139974 156.151485 \nL 92.451243 154.011192 \nL 89.793236 151.608583 \nL 87.199669 148.95694 \nL 84.707676 146.075824 \nL 82.357354 142.991702 \nL 80.191058 139.738358 \nL 78.252455 136.356974 \nL 76.585223 132.895846 \nL 75.231551 129.409595 \nL 74.230398 125.9579 \nL 73.615611 122.603711 \nL 73.414001 119.410986 \nL 73.64362 116.442173 \nL 74.31218 113.755531 \nL 75.416053 111.402478 \nL 76.939737 109.425355 \nL 78.856029 107.855649 \nL 81.126884 106.712922 \nL 83.704938 106.004549 \nL 86.535515 105.726207 \nL 89.559114 105.863013 \nL 92.713958 106.391219 \nL 95.938583 107.280155 \nL 99.174149 108.494311 \nL 102.366402 109.995301 \nL 105.467129 111.743661 \nL 108.435107 113.700296 \nL 111.236537 115.82757 \nL 113.845036 118.09015 \nL 116.241243 120.455417 \nL 118.412188 122.893734 \nL 120.350451 125.378467 \nL 122.053254 127.885868 \nL 123.521536 130.394892 \nL 124.759067 132.886945 \nL 125.771647 135.345559 \nL 126.56641 137.75615 \nL 127.151233 140.105699 \nL 127.534276 142.382497 \nL 127.723617 144.575925 \nL 127.726992 146.676182 \nL 127.551622 148.6741 \nL 127.20412 150.56099 \nL 126.690448 152.328441 \nL 126.015932 153.968199 \nL 125.185316 155.472051 \nL 124.202871 156.831716 \nL 123.072491 158.038763 \nL 121.797872 159.08457 \nL 120.382661 159.96027 \nL 118.830657 160.656757 \nL 117.146031 161.164707 \nL 115.333553 161.474653 \nL 113.398855 161.577086 \nL 111.348696 161.462616 \nL 109.191245 161.122197 \nL 106.936384 160.547405 \nL 104.596026 159.730798 \nL 102.184384 158.666343 \nL 99.71829 157.34993 \nL 97.217408 155.779938 \nL 94.704446 153.957893 \nL 92.205295 151.889139 \nL 89.748985 149.583538 \nL 87.367609 147.056125 \nL 85.095996 144.327696 \nL 82.971208 141.42524 \nL 81.031827 138.382149 \nL 79.317028 135.238102 \nL 77.865332 132.038712 \nL 76.713298 128.834592 \nL 75.893925 125.680145 \nL 75.435076 122.631914 \nL 75.357885 119.746566 \nL 75.675345 117.078695 \nL 76.391151 114.678614 \nL 77.498953 112.590175 \nL 78.982091 110.848999 \nL 80.813937 109.481094 \nL 82.958721 108.502122 \nL 85.372968 107.917277 \nL 88.007275 107.721774 \nL 90.808403 107.901846 \nL 93.721471 108.4362 \nL 96.692075 109.297601 \nL 99.668248 110.454641 \nL 102.602031 111.87335 \nL 105.450707 113.518711 \nL 108.177557 115.355839 \nL 110.752241 117.350983 \nL 113.150782 119.472164 \nL 115.355275 121.689665 \nL 117.353339 123.97621 \nL 119.137453 126.30707 \nL 120.704191 128.659973 \nL 122.053453 131.014974 \nL 123.187714 133.354273 \nL 124.111344 135.661946 \nL 124.830014 137.923736 \nL 125.350183 140.126801 \nL 125.67869 142.2595 \nL 125.822433 144.311174 \nL 125.788141 146.27194 \nL 125.582209 148.132521 \nL 125.210612 149.884085 \nL 124.678866 151.518097 \nL 123.992036 153.026209 \nL 123.154788 154.400146 \nL 122.171487 155.631641 \nL 121.0463 156.712352 \nL 119.783328 157.633833 \nL 118.38679 158.387524 \nL 116.861195 158.964763 \nL 115.211537 159.356845 \nL 113.443529 159.555102 \nL 111.563838 159.551033 \nL 109.580328 159.3365 \nL 107.502315 158.90396 \nL 105.340843 158.246752 \nL 103.108934 157.359472 \nL 100.821828 156.238379 \nL 98.497215 154.88189 \nL 96.155384 153.291116 \nL 93.819339 151.470414 \nL 91.514833 149.427989 \nL 89.270267 147.176443 \nL 87.116439 144.733287 \nL 85.086192 142.121318 \nL 83.213801 139.368863 \nL 81.534237 136.509729 \nL 80.08221 133.582982 \nL 78.891012 130.632298 \nL 77.991297 127.705033 \nL 77.409683 124.850942 \nL 77.16743 122.120611 \nL 77.279176 119.563659 \nL 77.751865 117.226855 \nL 78.583929 115.152267 \nL 79.764945 113.375621 \nL 81.275626 111.924905 \nL 83.088352 110.819487 \nL 85.16812 110.069715 \nL 87.47388 109.677006 \nL 89.960203 109.634434 \nL 92.579065 109.927675 \nL 95.281694 110.536293 \nL 98.020316 111.435126 \nL 100.749699 112.595683 \nL 103.428402 113.987511 \nL 106.019692 115.579368 \nL 108.492099 117.340242 \nL 110.819643 119.240088 \nL 112.981796 121.250377 \nL 114.963172 123.344473 \nL 116.753062 125.497783 \nL 118.344863 127.687871 \nL 119.735425 129.894358 \nL 120.92443 132.098841 \nL 121.913761 134.28473 \nL 122.706943 136.437059 \nL 123.308645 138.542278 \nL 123.724264 140.588063 \nL 123.959578 142.563155 \nL 124.020493 144.457127 \nL 123.912847 146.260244 \nL 123.642278 147.963334 \nL 123.214162 149.557604 \nL 122.633574 151.034561 \nL 121.905319 152.385897 \nL 121.033988 153.603413 \nL 120.024039 154.678964 \nL 118.879902 155.604412 \nL 117.606129 156.371606 \nL 116.207549 156.97242 \nL 114.689428 157.398772 \nL 113.05768 157.642721 \nL 111.319062 157.696558 \nL 109.481396 157.552998 \nL 107.553788 157.205375 \nL 105.546858 156.647882 \nL 103.472969 155.875911 \nL 101.346416 154.886395 \nL 99.183612 153.67823 \nL 97.003243 152.252725 \nL 94.826336 150.614071 \nL 92.676282 148.769847 \nL 90.578735 146.731485 \nL 88.561414 144.514665 \nL 86.653777 142.139666 \nL 84.886509 139.631542 \nL 83.290914 137.020118 \nL 81.898077 134.339788 \nL 80.737923 131.629004 \nL 79.838168 128.929535 \nL 79.223157 126.28541 \nL 78.912748 123.741626 \nL 78.9212 121.342703 \nL 79.256253 119.131078 \nL 79.918394 117.145557 \nL 80.900446 115.419825 \nL 82.187518 113.981254 \nL 83.75732 112.850005 \nL 85.580841 112.038509 \nL 87.623419 111.551416 \nL 89.846016 111.385889 \nL 92.206725 111.532291 \nL 94.662306 111.975137 \nL 97.169733 112.69417 \nL 99.687538 113.665604 \nL 102.177022 114.863238 \nL 104.603154 116.259552 \nL 106.935202 117.826627 \nL 109.147087 119.536928 \nL 111.217455 121.363846 \nL 113.129556 123.282149 \nL 114.870945 125.268215 \nL 116.43305 127.300178 \nL 117.810656 129.357973 \nL 119.001398 131.423251 \nL 120.005195 133.479314 \nL 120.823781 135.510991 \nL 121.460227 137.504459 \nL 121.918551 139.447081 \nL 122.203386 141.327271 \nL 122.319713 143.134314 \nL 122.272666 144.858206 \nL 122.067365 146.489539 \nL 121.708845 148.01938 \nL 121.202005 149.439146 \nL 120.551603 150.74053 \nL 119.762282 151.915414 \nL 118.838646 152.955816 \nL 117.785336 153.853871 \nL 116.607155 154.601804 \nL 115.3092 155.191938 \nL 113.897009 155.616769 \nL 112.37673 155.869 \nL 110.7553 155.941683 \nL 109.040641 155.828337 \nL 107.241847 155.523169 \nL 105.369373 155.021271 \nL 103.435224 154.318923 \nL 101.453139 153.413895 \nL 99.438721 152.305806 \nL 97.409545 150.996516 \nL 95.385221 149.49053 \nL 93.387381 147.795408 \nL 91.439578 145.922143 \nL 89.567089 143.885504 \nL 87.796601 141.70429 \nL 86.155793 139.401443 \nL 84.672723 137.004047 \nL 83.375176 134.543115 \nL 82.289801 132.053121 \nL 81.441242 129.571387 \nL 80.851128 127.137173 \nL 80.53715 124.790582 \nL 80.512126 122.57135 \nL 80.783176 120.517481 \nL 81.351174 118.663954 \nL 82.210334 117.04144 \nL 83.348149 115.675307 \nL 84.745635 114.584775 \nL 86.377894 113.782426 \nL 88.214943 113.274108 \nL 90.222762 113.059098 \nL 92.36455 113.130568 \nL 94.602037 113.476344 \nL 96.896768 114.079824 \nL 99.2113 114.920886 \nL 101.510276 115.976917 \nL 103.761247 117.223761 \nL 105.935299 118.636527 \nL 108.007428 120.190284 \nL 109.9567 121.860631 \nL 111.766221 123.624136 \nL 113.42293 125.458606 \nL 114.917307 127.34324 \nL 116.242955 129.258763 \nL 117.39618 131.187372 \nL 118.375542 133.112723 \nL 119.181426 135.019835 \nL 119.815631 136.894968 \nL 120.28101 138.725498 \nL 120.581173 140.499785 \nL 120.720233 142.207033 \nL 120.702596 143.837194 \nL 120.532833 145.380782 \nL 120.215563 146.828854 \nL 119.755406 148.17283 \nL 119.156967 149.404468 \nL 118.424851 150.515788 \nL 117.563707 151.499006 \nL 116.578314 152.346543 \nL 115.473658 153.050984 \nL 114.255059 153.605117 \nL 112.928301 154.001977 \nL 111.499781 154.234919 \nL 109.976657 154.297712 \nL 108.367009 154.184701 \nL 106.68002 153.890956 \nL 104.926128 153.412505 \nL 103.117176 152.746566 \nL 101.266555 151.891845 \nL 99.389315 150.848839 \nL 97.502248 149.620159 \nL 95.623875 148.210902 \nL 93.774455 146.628949 \nL 91.975851 144.885319 \nL 90.251297 142.994401 \nL 88.625155 140.974134 \nL 87.122449 138.846082 \nL 85.768368 136.63537 \nL 84.587634 134.370445 \nL 83.603803 132.082674 \nL 82.838445 129.805767 \nL 82.310361 127.574934 \nL 82.034721 125.426 \nL 82.02233 123.394309 \nL 82.278967 121.513615 \nL 82.804902 119.814969 \nL 83.594612 118.325675 \nL 84.636709 117.068376 \nL 85.914212 116.060437 \nL 87.404965 115.313473 \nL 89.082399 114.833263 \nL 90.916414 114.619821 \nL 92.87439 114.667845 \nL 94.922336 114.967274 \nL 97.025961 115.504 \nL 99.151712 116.260697 \nL 101.267688 117.217654 \nL 103.344369 118.353538 \nL 105.355188 119.64617 \nL 107.276893 121.073114 \nL 109.089726 122.612189 \nL 110.77743 124.241887 \nL 112.327139 125.94161 \nL 113.729128 127.691933 \nL 114.97651 129.474631 \nL 116.064886 131.272759 \nL 116.991974 133.070642 \nL 117.757244 134.853776 \nL 118.361567 136.608775 \nL 118.806907 138.323274 \nL 119.096036 139.985824 \nL 119.23233 141.585764 \nL 119.219555 143.113131 \nL 119.061759 144.558559 \nL 118.763157 145.913187 \nL 118.328072 147.168571 \nL 117.760925 148.316628 \nL 117.066238 149.349567 \nL 116.248669 150.259877 \nL 115.313076 151.040293 \nL 114.264594 151.683808 \nL 113.108739 152.183688 \nL 111.851524 152.53354 \nL 110.499587 152.727373 \nL 109.060311 152.7597 \nL 107.541976 152.625682 \nL 105.953904 152.321291 \nL 104.306575 151.843501 \nL 102.611767 151.190526 \nL 100.882651 150.362052 \nL 99.133875 149.359532 \nL 97.381584 148.186461 \nL 95.643443 146.848661 \nL 93.938544 145.354569 \nL 92.287271 143.715438 \nL 90.711109 141.945581 \nL 89.232318 140.062447 \nL 87.873539 138.086618 \nL 86.657327 136.041746 \nL 85.605573 133.954249 \nL 84.738866 131.852929 \nL 84.07582 129.768403 \nL 83.632357 127.732391 \nL 83.421042 125.776887 \nL 83.450432 123.933257 \nL 83.724584 122.231258 \nL 84.242661 120.698112 \nL 84.998741 119.357633 \nL 85.981833 118.229546 \nL 87.176085 117.3289 \nL 88.561258 116.665729 \nL 90.113321 116.244993 \nL 91.805227 116.06668 \nL 93.607838 116.126113 \nL 95.490811 116.414474 \nL 97.423559 116.919356 \nL 99.376128 117.625508 \nL 101.319958 118.51548 \nL 103.228509 119.570325 \nL 105.077759 120.770181 \nL 106.84652 122.094861 \nL 108.516621 123.524258 \nL 110.07292 125.038743 \nL 111.503229 126.619395 \nL 112.798135 128.248207 \nL 113.950762 129.908194 \nL 114.956466 131.583421 \nL 115.812543 133.259043 \nL 116.517909 134.921239 \nL 117.072827 136.557166 \nL 117.478618 138.154912 \nL 117.737438 139.70338 \nL 117.852077 141.192196 \nL 117.825784 142.611656 \nL 117.662168 143.952626 \nL 117.365088 145.206435 \nL 116.93861 146.364893 \nL 116.386985 147.42014 \nL 115.714647 148.364686 \nL 114.926254 149.19134 \nL 114.026728 149.893225 \nL 113.021345 150.463784 \nL 111.915799 150.896815 \nL 110.716315 151.186525 \nL 109.429763 151.327611 \nL 108.063754 151.315356 \nL 106.626768 151.145774 \nL 105.128278 150.815749 \nL 103.578841 150.323236 \nL 101.9902 149.66746 \nL 100.37535 148.849135 \nL 98.74858 147.870701 \nL 97.125502 146.736583 \nL 95.522983 145.453397 \nL 93.959065 144.030202 \nL 92.45279 142.478626 \nL 91.024007 140.813037 \nL 89.693034 139.050568 \nL 88.480284 137.211055 \nL 87.40584 135.316906 \nL 86.48892 133.392823 \nL 85.747293 131.465345 \nL 85.196713 129.562377 \nL 84.85033 127.712489 \nL 84.718082 125.944227 \nL 84.806244 124.285276 \nL 85.117003 122.761659 \nL 85.64819 121.396957 \nL 86.393183 120.211631 \nL 87.340961 119.222422 \nL 88.476374 118.441911 \nL 89.780525 117.878317 \nL 91.231355 117.535404 \nL 92.804327 117.412652 \nL 94.473193 117.505496 \nL 96.21079 117.805798 \nL 97.989816 118.302324 \nL 99.783587 118.981349 \nL 101.566655 119.827196 \nL 103.315353 120.822853 \nL 105.008202 121.950477 \nL 106.626179 123.191841 \nL 108.152868 124.528735 \nL 109.574483 125.943287 \nL 110.87981 127.418186 \nL 112.060072 128.936855 \nL 113.108709 130.483565 \nL 114.021155 132.04347 \nL 114.79459 133.602652 \nL 115.427671 135.14808 \nL 115.920297 136.667581 \nL 116.273376 138.149786 \nL 116.488636 139.584077 \nL 116.568438 140.960502 \nL 116.515653 142.26971 \nL 116.333543 143.502896 \nL 116.025697 144.651716 \nL 115.595971 145.708278 \nL 115.048489 146.665086 \nL 114.387632 147.514981 \nL 113.618063 148.25119 \nL 112.744786 148.867278 \nL 111.773204 149.357207 \nL 110.709191 149.715347 \nL 109.55918 149.936552 \nL 108.330247 150.016242 \nL 107.030225 149.950511 \nL 105.66779 149.736244 \nL 104.252545 149.371282 \nL 102.795112 148.85456 \nL 101.307188 148.186332 \nL 99.801594 147.368334 \nL 98.292279 146.404016 \nL 96.7943 145.298707 \nL 95.323766 144.059851 \nL 93.897677 142.697112 \nL 92.533803 141.222513 \nL 91.250407 139.650517 \nL 90.065939 137.997973 \nL 88.998692 136.284059 \nL 88.066376 134.530056 \nL 87.285653 132.759068 \nL 86.671604 130.995577 \nL 86.237263 129.264979 \nL 85.993095 127.592969 \nL 85.946549 126.004874 \nL 86.101671 124.524972 \nL 86.458791 123.175837 \nL 87.014389 121.977644 \nL 87.761045 120.947649 \nL 88.687554 120.09973 \nL 89.779182 119.44407 \nL 91.018094 118.986966 \nL 92.383855 118.730885 \nL 93.854059 118.674559 \nL 95.404945 118.81326 \nL 97.012141 119.139202 \nL 98.651286 119.641944 \nL 100.298635 120.308919 \nL 101.931609 121.125895 \nL 103.529231 122.07744 \nL 105.072453 123.147429 \nL 106.544378 124.319355 \nL 107.930373 125.576696 \nL 109.218097 126.903188 \nL 110.39745 128.283035 \nL 111.460442 129.701009 \nL 112.401043 131.14262 \nL 113.214975 132.594113 \nL 113.899509 134.042526 \nL 114.45325 135.475658 \nL 114.875925 136.882072 \nL 115.168219 138.251041 \nL 115.331579 139.57249 \nL 115.368093 140.83696 \nL 115.280359 142.035535 \nL 115.071407 143.159819 \nL 114.744635 144.201877 \nL 114.303769 145.154213 \nL 113.752848 146.009725 \nL 113.096236 146.761706 \nL 112.33864 147.40383 \nL 111.485149 147.930182 \nL 110.541309 148.33529 \nL 109.513164 148.614156 \nL 108.407341 148.762337 \nL 107.231125 148.776016 \nL 105.992539 148.652119 \nL 104.700414 148.388439 \nL 103.364462 147.983761 \nL 101.995335 147.438031 \nL 100.604648 146.752504 \nL 99.204998 145.92994 \nL 97.809963 144.974741 \nL 96.434009 143.893138 \nL 95.092445 142.693309 \nL 93.801249 141.385491 \nL 92.576877 139.982048 \nL 91.436028 138.497485 \nL 90.395322 136.948349 \nL 89.470991 135.353125 \nL 88.678451 133.732001 \nL 88.031909 132.106515 \nL 87.543894 130.4992 \nL 87.224868 128.933066 \nL 87.082788 127.431081 \nL 87.12275 126.015602 \nL 87.346719 124.707743 \nL 87.753313 123.526848 \nL 88.337718 122.489956 \nL 89.091755 121.611353 \nL 90.003997 120.902243 \nL 91.060079 120.37052 \nL 92.243069 120.020682 \nL 93.533954 119.853873 \nL 94.912193 119.868023 \nL 96.356254 120.058127 \nL 97.844245 120.416553 \nL 99.35442 120.933459 \nL 100.865709 121.597162 \nL 102.35815 122.394604 \nL 103.813235 123.311716 \nL 105.214183 124.333818 \nL 107.796118 126.632999 \nL 110.008693 129.173239 \nL 111.787379 131.841301 \nL 113.094729 134.533178 \nL 113.915157 137.155384 \nL 114.249549 139.624822 \nL 114.238097 140.778904 \nL 114.110635 141.867841 \nL 113.870046 142.883727 \nL 113.519626 143.819078 \nL 113.063024 144.666847 \nL 112.504255 145.420409 \nL 111.847706 146.073548 \nL 111.098152 146.62047 \nL 110.260797 147.055832 \nL 109.341329 147.374775 \nL 108.345958 147.572983 \nL 107.281493 147.64675 \nL 106.155397 147.593062 \nL 104.975855 147.409705 \nL 103.751823 147.095384 \nL 102.493062 146.649846 \nL 101.210196 146.074011 \nL 98.618871 144.541901 \nL 96.079457 142.535402 \nL 93.704811 140.118172 \nL 91.614539 137.383425 \nL 90.71355 135.934112 \nL 89.927788 134.453283 \nL 89.270471 132.959968 \nL 88.753444 131.474178 \nL 88.386851 130.016496 \nL 88.178735 128.607669 \nL 88.134727 127.268076 \nL 88.257794 126.017251 \nL 88.548003 124.873393 \nL 89.002436 123.852872 \nL 89.615172 122.969825 \nL 90.377369 122.235838 \nL 91.277463 121.659676 \nL 92.301461 121.247147 \nL 93.433275 121.001098 \nL 94.655216 120.92145 \nL 95.948435 121.005365 \nL 97.293432 121.247528 \nL 98.670533 121.640401 \nL 100.060375 122.174578 \nL 101.444294 122.83914 \nL 102.804696 123.622009 \nL 105.391489 125.490517 \nL 107.710042 127.672249 \nL 109.677063 130.058794 \nL 111.23606 132.546621 \nL 112.354186 135.040105 \nL 113.017893 137.452741 \nL 113.228469 139.707183 \nL 113.167349 140.753263 \nL 112.998281 141.734593 \nL 112.724095 142.643785 \nL 112.348044 143.473861 \nL 111.873771 144.21829 \nL 111.305315 144.870978 \nL 110.647118 145.426243 \nL 109.904056 145.878876 \nL 109.081449 146.224162 \nL 108.185133 146.457887 \nL 107.221482 146.576467 \nL 106.197465 146.576958 \nL 105.120692 146.457178 \nL 103.999459 146.215778 \nL 101.660423 145.367655 \nL 99.261445 144.043043 \nL 96.895212 142.273282 \nL 94.66429 140.113905 \nL 92.677322 137.646662 \nL 91.042923 134.979063 \nL 90.389866 133.609945 \nL 89.861402 132.240717 \nL 89.467159 130.88981 \nL 89.215026 129.575899 \nL 89.110827 128.317509 \nL 89.158093 127.132565 \nL 89.357864 126.037985 \nL 89.708585 125.049225 \nL 90.206015 124.17996 \nL 90.843307 123.441692 \nL 91.611155 122.84357 \nL 92.497955 122.392191 \nL 93.490131 122.091521 \nL 94.572471 121.942925 \nL 95.728531 121.945242 \nL 96.941058 122.094984 \nL 98.192389 122.386534 \nL 99.464912 122.812436 \nL 102.005367 124.029918 \nL 104.435161 125.662042 \nL 106.646394 127.612462 \nL 108.554653 129.781571 \nL 110.09965 132.072082 \nL 111.24333 134.392501 \nL 111.966528 136.658952 \nL 112.265246 138.795714 \nL 112.147247 140.735051 \nL 111.936952 141.611596 \nL 111.629422 142.416767 \nL 111.227925 143.144156 \nL 110.736145 143.787766 \nL 110.158188 144.342077 \nL 109.498585 144.801989 \nL 108.762317 145.162924 \nL 107.954843 145.420804 \nL 107.08213 145.572141 \nL 106.1507 145.614085 \nL 104.140673 145.361984 \nL 101.989092 144.657332 \nL 99.770711 143.508689 \nL 97.570463 141.943414 \nL 95.481941 140.010511 \nL 93.604104 137.782254 \nL 92.036042 135.353929 \nL 90.869926 132.840816 \nL 90.462457 131.592499 \nL 90.182625 130.372005 \nL 90.036247 129.196126 \nL 90.027134 128.081235 \nL 90.15695 127.042938 \nL 90.425072 126.095687 \nL 90.828544 125.252457 \nL 91.362075 124.524441 \nL 92.018118 123.920798 \nL 92.787055 123.448522 \nL 93.657399 123.112301 \nL 94.61608 122.914495 \nL 95.648763 122.855211 \nL 96.740236 122.932379 \nL 97.874735 123.141936 \nL 99.036338 123.478047 \nL 101.378287 124.499141 \nL 103.64742 125.922744 \nL 105.740313 127.663498 \nL 107.57338 129.630643 \nL 109.084425 131.733585 \nL 110.231786 133.885655 \nL 110.991911 136.006277 \nL 111.356321 138.021991 \nL 111.328637 139.866671 \nL 110.92214 141.481375 \nL 110.158081 142.814152 \nL 109.650561 143.360488 \nL 109.064833 143.820059 \nL 108.405537 144.188396 \nL 107.677768 144.461557 \nL 106.88711 144.636163 \nL 105.142039 144.679279 \nL 103.22562 144.304086 \nL 101.202323 143.51008 \nL 99.145886 142.31254 \nL 97.138466 140.745084 \nL 95.268545 138.861609 \nL 93.627231 136.736952 \nL 92.30289 134.465538 \nL 91.374465 132.157565 \nL 90.903965 129.932458 \nL 90.853393 128.888695 \nL 90.92929 127.910091 \nL 91.131698 127.010046 \nL 91.458601 126.200758 \nL 91.905896 125.492916 \nL 92.467465 124.895517 \nL 93.135296 124.415648 \nL 93.899642 124.058394 \nL 94.749271 123.826809 \nL 95.671696 123.721887 \nL 96.653514 123.742675 \nL 97.680701 123.886365 \nL 99.813824 124.522968 \nL 101.958106 125.579163 \nL 104.008936 126.985509 \nL 105.876232 128.662604 \nL 107.487897 130.526927 \nL 108.790812 132.495476 \nL 109.749863 134.488889 \nL 110.345885 136.433324 \nL 110.573112 138.261319 \nL 110.43677 139.912146 \nL 109.951147 141.331824 \nL 109.13827 142.47316 \nL 108.027317 143.296038 \nL 106.654529 143.76796 \nL 105.063569 143.865221 \nL 103.306021 143.57442 \nL 101.441799 142.894427 \nL 99.539069 141.838656 \nL 97.673417 140.437149 \nL 95.92593 138.738203 \nL 94.379897 136.808871 \nL 93.116205 134.733778 \nL 92.207493 132.61182 \nL 91.711658 130.550645 \nL 91.665598 128.659087 \nL 91.815731 127.809137 \nL 92.080147 127.038563 \nL 92.455678 126.357479 \nL 92.937343 125.774529 \nL 93.518441 125.296732 \nL 94.190678 124.929377 \nL 94.944365 124.675927 \nL 95.76863 124.538045 \nL 96.651676 124.515594 \nL 98.543791 124.808112 \nL 100.517877 125.520956 \nL 102.473081 126.601905 \nL 104.317492 127.984915 \nL 105.972937 129.596019 \nL 107.377547 131.35827 \nL 108.486307 133.195575 \nL 109.27007 135.035252 \nL 109.713786 136.809689 \nL 109.814397 138.457108 \nL 109.578884 139.922015 \nL 109.022741 141.155351 \nL 108.168984 142.114761 \nL 107.047697 142.765024 \nL 105.695999 143.078861 \nL 104.158276 143.038035 \nL 102.486439 142.634993 \nL 100.739963 141.874629 \nL 98.985416 140.776136 \nL 97.295153 139.374657 \nL 95.744987 137.722153 \nL 94.410688 135.887097 \nL 93.363359 133.952531 \nL 92.664018 132.012294 \nL 92.357908 130.165256 \nL 92.46942 128.508336 \nL 92.682759 127.778997 \nL 92.998439 127.128749 \nL 93.412385 126.565809 \nL 93.918976 126.097009 \nL 94.511133 125.727664 \nL 95.18048 125.461482 \nL 95.917527 125.300563 \nL 97.552441 125.294906 \nL 99.325934 125.696666 \nL 101.144724 126.470689 \nL 102.919121 127.565447 \nL 104.568643 128.918276 \nL 106.025717 130.460255 \nL 107.237544 132.120447 \nL 108.166324 133.82903 \nL 108.788313 135.51947 \nL 109.092298 137.129934 \nL 109.077851 138.604083 \nL 108.753768 139.891481 \nL 108.13688 140.947934 \nL 107.251291 141.735943 \nL 106.128015 142.225244 \nL 104.804958 142.393716 \nL 103.326984 142.228598 \nL 101.74594 141.727954 \nL 100.120347 140.902268 \nL 98.514536 139.775927 \nL 96.996979 138.388228 \nL 95.637656 136.793686 \nL 94.504461 135.061002 \nL 93.658751 133.270535 \nL 93.150399 131.510152 \nL 93.013017 129.869617 \nL 93.259977 128.434126 \nL 93.52559 127.816988 \nL 93.88199 127.277645 \nL 94.324442 126.822654 \nL 94.846876 126.457235 \nL 95.442048 126.185218 \nL 96.816494 125.929465 \nL 98.372135 126.057437 \nL 100.025786 126.550065 \nL 101.693247 127.370435 \nL 103.295075 128.468137 \nL 104.761038 129.783806 \nL 106.032992 131.25328 \nL 107.066156 132.811126 \nL 107.82915 134.39325 \nL 108.303103 135.938829 \nL 108.480336 137.391454 \nL 108.362939 138.699912 \nL 107.961544 139.818675 \nL 107.294355 140.708374 \nL 106.386582 141.336308 \nL 105.270124 141.677164 \nL 103.983494 141.713941 \nL 102.571736 141.439172 \nL 101.086186 140.856221 \nL 99.583874 139.980644 \nL 98.126294 138.841243 \nL 96.777455 137.480563 \nL 95.601089 135.954573 \nL 94.657025 134.331064 \nL 93.997092 132.686712 \nL 93.660687 131.102775 \nL 93.670918 129.659787 \nL 94.031627 128.431632 \nL 94.726076 127.480059 \nL 95.717561 126.850135 \nL 96.952038 126.56735 \nL 98.362439 126.636843 \nL 99.874059 127.044411 \nL 101.410235 127.759218 \nL 102.89757 128.737318 \nL 104.270134 129.92571 \nL 105.472332 131.266053 \nL 106.460384 132.698012 \nL 107.202687 134.161788 \nL 107.679276 135.600059 \nL 107.880841 136.959281 \nL 107.80755 138.190572 \nL 107.46796 139.250324 \nL 106.878133 140.100792 \nL 106.061031 140.710569 \nL 105.046122 141.055323 \nL 103.8692 141.118723 \nL 102.572193 140.893381 \nL 101.202795 140.382064 \nL 99.813838 139.598799 \nL 98.462106 138.569759 \nL 97.206525 137.333588 \nL 96.105618 135.941091 \nL 95.214335 134.453706 \nL 94.580368 132.940939 \nL 94.240346 131.476604 \nL 94.216372 130.134081 \nL 94.513408 128.981267 \nL 95.117994 128.075591 \nL 95.998706 127.459939 \nL 97.108259 127.159937 \nL 98.387132 127.182975 \nL 99.76824 127.5188 \nL 101.181875 128.14169 \nL 102.560426 129.01341 \nL 103.842285 130.086684 \nL 104.974649 131.30861 \nL 105.915119 132.62368 \nL 106.632302 133.976304 \nL 107.105578 135.312653 \nL 107.324392 136.582084 \nL 107.287299 137.738102 \nL 107.001034 138.739116 \nL 106.479674 139.548976 \nL 105.744072 140.137651 \nL 104.821404 140.481819 \nL 103.744889 140.565734 \nL 102.553501 140.382173 \nL 101.291559 139.93337 \nL 100.008018 139.23199 \nL 98.75534 138.301832 \nL 97.587794 137.178094 \nL 96.559186 135.906931 \nL 95.720002 134.544137 \nL 95.114152 133.152813 \nL 94.775618 131.800052 \nL 94.725395 130.552813 \nL 94.969184 129.473404 \nL 95.496189 128.615111 \nL 96.279413 128.018503 \nL 97.277395 127.708904 \nL 98.437257 127.695273 \nL 99.698718 127.970547 \nL 100.998462 128.513339 \nL 102.27435 129.290415 \nL 103.46902 130.259668 \nL 104.532581 131.373196 \nL 105.424288 132.580073 \nL 106.11331 133.828703 \nL 106.578724 135.068718 \nL 106.809058 136.252393 \nL 106.80153 137.335646 \nL 106.561267 138.278904 \nL 106.100565 139.047692 \nL 105.438293 139.613289 \nL 104.599459 139.953422 \nL 103.614845 140.052959 \nL 102.520653 139.904812 \nL 101.358038 139.51074 \nL 100.172369 138.882192 \nL 99.012132 138.04083 \nL 97.927369 137.018728 \nL 96.967579 135.857898 \nL 96.179162 134.609091 \nL 95.602538 133.329681 \nL 95.269216 132.080724 \nL 95.199056 130.923303 \nL 95.398215 129.914614 \nL 95.858046 129.104005 \nL 96.555315 128.529669 \nL 97.453562 128.216309 \nL 98.505754 128.17397 \nL 99.65772 128.398153 \nL 100.851972 128.871138 \nL 102.03149 129.564026 \nL 103.143017 130.439358 \nL 104.139618 131.453799 \nL 104.982376 132.560716 \nL 105.641269 133.712358 \nL 106.095371 134.861724 \nL 106.332581 135.963924 \nL 106.349032 136.977302 \nL 106.148453 137.864302 \nL 105.741514 138.592142 \nL 105.145263 139.13342 \nL 104.382658 139.466887 \nL 103.482184 139.578038 \nL 102.477438 139.459908 \nL 101.406612 139.113873 \nL 100.311745 138.550266 \nL 99.237676 137.788811 \nL 98.230542 136.858763 \nL 97.335923 135.798411 \nL 96.596493 134.653953 \nL 96.049492 133.47761 \nL 95.724087 132.325001 \nL 95.638989 131.251917 \nL 95.800617 130.310799 \nL 96.202105 129.547314 \nL 96.823379 128.997311 \nL 97.632356 128.684646 \nL 98.587127 128.620046 \nL 99.638988 128.801072 \nL 100.735747 129.213097 \nL 101.825154 129.831026 \nL 102.857875 130.621543 \nL 103.789913 131.545512 \nL 104.584272 132.560253 \nL 105.211941 133.621668 \nL 105.652219 134.685973 \nL 105.8926 135.711087 \nL 105.92836 136.657753 \nL 105.76202 137.490404 \nL 105.402794 138.177908 \nL 104.86603 138.694241 \nL 104.172782 139.019107 \nL 103.349363 139.138628 \nL 102.426924 139.046029 \nL 101.44088 138.742292 \nL 100.430182 138.236714 \nL 99.43629 137.547289 \nL 98.501776 136.700706 \nL 97.668622 135.731889 \nL 96.976108 134.682947 \nL 96.458547 133.601452 \nL 96.142945 132.538129 \nL 96.046896 131.54393 \nL 96.176926 130.66699 \nL 96.527617 129.949497 \nL 97.081601 129.424999 \nL 97.810566 129.116396 \nL 98.677166 129.034797 \nL 99.637549 129.179387 \nL 100.644371 129.538154 \nL 101.649779 130.089315 \nL 102.608158 130.80325 \nL 103.478372 131.644626 \nL 104.225416 132.574457 \nL 104.821414 133.552093 \nL 105.246063 134.536817 \nL 105.486657 135.489262 \nL 105.537809 136.3725 \nL 105.40101 137.152944 \nL 105.084148 137.801093 \nL 104.601029 138.292263 \nL 103.97091 138.607109 \nL 103.218078 138.732382 \nL 102.371377 138.661471 \nL 101.463628 138.39503 \nL 100.530909 137.941429 \nL 99.611553 137.317039 \nL 98.343436 136.115615 \nL 97.321714 134.6994 \nL 96.833056 133.705174 \nL 96.528561 132.724485 \nL 96.424721 131.80391 \nL 96.528094 130.987616 \nL 96.834437 130.314575 \nL 97.328706 129.816113 \nL 97.985897 129.514067 \nL 98.772651 129.419737 \nL 99.649502 129.533573 \nL 100.573477 129.845748 \nL 101.500779 130.337394 \nL 102.806821 131.352217 \nL 103.901849 132.599961 \nL 104.690655 133.956171 \nL 105.112493 135.294482 \nL 105.175743 136.117633 \nL 105.064396 136.848171 \nL 104.785172 137.458221 \nL 104.350442 137.924335 \nL 103.7778 138.228181 \nL 103.089624 138.35708 \nL 102.312591 138.304599 \nL 101.477112 138.071092 \nL 100.616586 137.664083 \nL 99.356628 136.762892 \nL 98.241901 135.587354 \nL 97.386495 134.250474 \nL 97.007483 133.335979 \nL 96.805261 132.452578 \nL 96.790935 131.642145 \nL 96.966169 130.943232 \nL 97.322764 130.388676 \nL 97.84302 130.003628 \nL 98.500736 129.804199 \nL 99.262962 129.796743 \nL 100.092124 129.977932 \nL 100.948386 130.335459 \nL 102.197261 131.15666 \nL 103.295435 132.235769 \nL 104.143129 133.462002 \nL 104.670576 134.717952 \nL 104.840461 135.889687 \nL 104.75105 136.572733 \nL 104.505282 137.146087 \nL 104.114225 137.587556 \nL 103.593925 137.879733 \nL 102.964982 138.010541 \nL 102.25205 137.973736 \nL 101.483264 137.769373 \nL 100.293519 137.165307 \nL 99.159084 136.252516 \nL 98.191173 135.115228 \nL 97.489945 133.864731 \nL 97.132057 132.628833 \nL 97.106547 131.877465 \nL 97.255094 131.22599 \nL 97.570793 130.704831 \nL 98.038074 130.337572 \nL 98.633605 130.139711 \nL 99.327802 130.117914 \nL 100.086638 130.270055 \nL 101.266643 130.79957 \nL 102.389291 131.631008 \nL 103.346338 132.674144 \nL 104.052404 133.824218 \nL 104.450464 134.972588 \nL 104.5135 136.015615 \nL 104.36931 136.60658 \nL 104.083954 137.086735 \nL 103.669735 137.437269 \nL 103.143479 137.644113 \nL 102.526095 137.698407 \nL 101.842052 137.597016 \nL 100.751576 137.161082 \nL 99.673888 136.419147 \nL 98.712664 135.438471 \nL 97.964948 134.31337 \nL 97.510097 133.156971 \nL 97.398934 132.089012 \nL 97.524374 131.482234 \nL 97.803836 130.99315 \nL 98.223627 130.643857 \nL 98.762964 130.449145 \nL 99.395229 130.415885 \nL 100.089653 130.542903 \nL 101.175364 131.012916 \nL 102.215122 131.765428 \nL 103.108273 132.718869 \nL 103.774299 133.777244 \nL 104.158364 134.840009 \nL 104.233342 135.810515 \nL 103.999357 136.602832 \nL 103.683351 136.99689 \nL 103.254184 137.264776 \nL 102.729226 137.395516 \nL 101.808975 137.323146 \nL 100.80421 136.933913 \nL 99.807906 136.260709 \nL 98.915801 135.364957 \nL 98.217461 134.332808 \nL 97.786242 133.267699 \nL 97.669556 132.279335 \nL 97.774961 131.714556 \nL 98.02229 131.256115 \nL 98.399493 130.924666 \nL 98.888034 130.73433 \nL 99.463949 130.692031 \nL 100.430065 130.903387 \nL 101.427809 131.415331 \nL 102.356647 132.168825 \nL 103.1282 133.08441 \nL 103.674024 134.071493 \nL 103.949985 135.037283 \nL 103.937682 135.89424 \nL 103.643802 136.566326 \nL 103.305321 136.881473 \nL 102.868602 137.074917 \nL 102.068923 137.120501 \nL 101.161179 136.869 \nL 100.228884 136.341107 \nL 99.360479 135.584328 \nL 98.641551 134.67046 \nL 98.145882 133.689784 \nL 97.926474 132.742097 \nL 98.007916 131.925366 \nL 98.2267 131.496084 \nL 98.565653 131.182192 \nL 99.008212 130.997104 \nL 99.818108 130.974298 \nL 100.72503 131.250813 \nL 101.634952 131.791342 \nL 102.457685 132.535811 \nL 103.11616 133.407463 \nL 103.552854 134.321344 \nL 103.73317 135.192191 \nL 103.646379 135.941228 \nL 103.304805 136.501754 \nL 102.741899 136.823716 \nL 102.009539 136.877451 \nL 101.174503 136.656553 \nL 100.313948 136.179492 \nL 99.509562 135.489549 \nL 98.84037 134.65233 \nL 98.374577 133.750403 \nL 98.161423 132.875167 \nL 98.224318 132.116643 \nL 98.556949 131.552614 \nL 98.911871 131.313422 \nL 99.601147 131.184386 \nL 100.411606 131.335641 \nL 101.258473 131.745485 \nL 102.05646 132.366985 \nL 102.729027 133.134656 \nL 103.215389 133.972201 \nL 103.474861 134.800082 \nL 103.488724 135.542275 \nL 103.26017 136.132014 \nL 102.812968 136.516544 \nL 102.189189 136.660983 \nL 101.446141 136.551291 \nL 100.652385 136.196136 \nL 99.882656 135.627445 \nL 99.211572 134.898706 \nL 98.706342 134.080981 \nL 98.419265 133.256249 \nL 98.381005 132.508671 \nL 98.595987 131.914761 \nL 99.041104 131.534266 \nL 99.668267 131.403158 \nL 100.410502 131.530054 \nL 101.190424 131.896577 \nL 101.929533 132.460893 \nL 102.55671 133.163596 \nL 103.014845 133.934715 \nL 103.265057 134.700695 \nL 103.288749 135.390802 \nL 103.087718 135.942577 \nL 102.683103 136.306456 \nL 102.113272 136.449382 \nL 101.430931 136.357683 \nL 100.69934 136.038802 \nL 99.987511 135.521637 \nL 99.36436 134.85503 \nL 98.892022 134.103977 \nL 98.619008 133.343586 \nL 98.574085 132.651106 \nL 98.762186 132.097123 \nL 99.1631 131.73717 \nL 99.733725 131.605395 \nL 100.41341 131.71108 \nL 101.131507 132.038712 \nL 101.815783 132.550983 \nL 102.563139 133.426574 \nL 103.01431 134.380369 \nL 103.11652 135.051024 \nL 103.008251 135.614604 \nL 102.702374 136.020168 \nL 102.228699 136.230992 \nL 101.631529 136.227584 \nL 100.966353 136.00959 \nL 100.295659 135.596651 \nL 99.503541 134.812146 \nL 98.95374 133.886405 \nL 98.762186 133.197538 \nL 98.784059 132.591142 \nL 99.016985 132.128585 \nL 99.435959 131.855614 \nL 99.996255 131.797217 \nL 100.638911 131.955451 \nL 101.297959 132.310142 \nL 102.089984 133.019129 \nL 102.663219 133.878512 \nL 102.928419 134.74148 \nL 102.901606 135.304965 \nL 102.685724 135.738827 \nL 102.302671 136.003755 \nL 101.7888 136.075511 \nL 101.192116 135.947157 \nL 100.365031 135.487163 \nL 99.630381 134.77027 \nL 99.11598 133.919597 \nL 98.913962 133.085065 \nL 98.992019 132.560225 \nL 99.259402 132.181543 \nL 99.687533 131.985849 \nL 100.231062 131.990198 \nL 100.833396 132.190553 \nL 101.622538 132.719209 \nL 102.27188 133.453523 \nL 102.675736 134.264692 \nL 102.773613 135.016577 \nL 102.638662 135.466811 \nL 102.339929 135.773124 \nL 101.906337 135.907599 \nL 101.3787 135.857748 \nL 100.615287 135.514562 \nL 99.901694 134.910238 \nL 99.360907 134.147938 \nL 99.088632 133.361088 \nL 99.092299 132.839453 \nL 99.275177 132.43547 \nL 99.617719 132.188958 \nL 100.083604 132.122723 \nL 100.624186 132.240513 \nL 101.365464 132.655291 \nL 102.011961 133.289455 \nL 102.456363 134.030162 \nL 102.62971 134.75154 \nL 102.509479 135.334804 \nL 102.239791 135.623505 \nL 101.844187 135.754272 \nL 101.36011 135.715054 \nL 100.656611 135.406724 \nL 99.995924 134.855685 \nL 99.491744 134.156172 \nL 99.232891 133.430486 \nL 99.265588 132.807132 \nL 99.479383 132.474292 \nL 99.831694 132.294071 \nL 100.285457 132.282484 \nL 100.966383 132.524184 \nL 101.62262 133.011959 \nL 102.142142 133.656483 \nL 102.440797 134.345704 \nL 102.474122 134.964137 \nL 102.323119 135.319673 \nL 102.037418 135.545329 \nL 101.644619 135.620465 \nL 101.019615 135.476653 \nL 100.375909 135.0786 \nL 99.823005 134.493742 \nL 99.456927 133.823291 \nL 99.342419 133.185201 \nL 99.499428 132.692246 \nL 99.77923 132.470912 \nL 100.16648 132.40101 \nL 100.779493 132.549252 \nL 101.401633 132.941389 \nL 101.925414 133.504423 \nL 102.264377 134.139255 \nL 102.366149 134.738359 \nL 102.218584 135.202919 \nL 101.959735 135.416388 \nL 101.464591 135.484096 \nL 100.875751 135.296377 \nL 100.292391 134.884843 \nL 99.814203 134.319804 \nL 99.524412 133.699463 \nL 99.474063 133.133007 \nL 99.67134 132.720164 \nL 99.961053 132.555591 \nL 100.47913 132.557704 \nL 101.060521 132.805401 \nL 101.602912 133.250469 \nL 102.088311 133.960233 \nL 102.246783 134.531855 \nL 102.17445 135.003423 \nL 101.886945 135.297808 \nL 101.434169 135.367274 \nL 100.892498 135.200861 \nL 100.353336 134.826827 \nL 99.822027 134.167581 \nL 99.601069 133.598644 \nL 99.605737 133.100959 \nL 99.834165 132.761726 \nL 100.243783 132.63862 \nL 100.759779 132.749485 \nL 101.290071 133.070261 \nL 101.834675 133.673236 \nL 102.11987 134.34554 \nL 102.113208 134.814518 \nL 101.900439 135.137625 \nL 101.51936 135.262312 \nL 101.034685 135.168554 \nL 100.408465 134.77226 \nL 99.914128 134.168004 \nL 99.684353 133.518709 \nL 99.735499 133.086346 \nL 99.986947 132.814166 \nL 100.39218 132.747767 \nL 100.87773 132.89511 \nL 101.466774 133.331426 \nL 101.891292 133.930366 \nL 102.044644 134.531787 \nL 101.946932 134.908861 \nL 101.671797 135.125179 \nL 101.266818 135.14564 \nL 100.800597 134.967517 \nL 100.252137 134.515143 \nL 99.877127 133.923632 \nL 99.776327 133.353046 \nL 99.913413 133.016934 \nL 100.218477 132.851912 \nL 100.635764 132.884205 \nL 101.200718 133.184792 \nL 101.671846 133.689907 \nL 101.927602 134.262061 \nL 101.906605 134.751077 \nL 101.695401 134.996525 \nL 101.349781 135.067491 \nL 100.819737 134.896879 \nL 100.312071 134.48454 \nL 99.961617 133.94104 \nL 99.862252 133.413324 \nL 99.9833 133.099718 \nL 100.260083 132.942288 \nL 100.64212 132.966239 \nL 101.162964 133.237042 \nL 101.600937 133.699204 \nL 101.842752 134.226837 \nL 101.829944 134.681202 \nL 101.639635 134.911928 \nL 101.323936 134.982389 \nL 100.836397 134.83108 \nL 100.366577 134.455328 \nL 100.039183 133.955993 \nL 99.941695 133.468014 \nL 100.099039 133.123219 \nL 100.379901 133.013867 \nL 100.841867 133.112573 \nL 101.307631 133.439592 \nL 101.699636 134.001482 \nL 101.790332 134.464093 \nL 101.642878 134.792803 \nL 101.379823 134.901241 \nL 100.943396 134.815404 \nL 100.49615 134.508914 \nL 100.110359 133.968848 \nL 100.015069 133.51766 \nL 100.154576 133.195698 \nL 100.410016 133.090285 \nL 100.833878 133.175278 \nL 101.340843 133.550348 \nL 101.66604 134.078486 \nL 101.710855 134.490716 \nL 101.538835 134.762786 \nL 101.19784 134.825464 \nL 100.778515 134.663985 \nL 100.327743 134.239733 \nL 100.094025 133.721423 \nL 100.132023 133.362247 \nL 100.371673 133.172974 \nL 100.745405 133.201736 \nL 101.225358 133.503019 \nL 101.567482 133.976931 \nL 101.647435 134.44231 \nL 101.493373 134.697178 \nL 101.181866 134.759896 \nL 100.79589 134.615648 \nL 100.378024 134.228119 \nL 100.157722 133.750594 \nL 100.217675 133.366596 \nL 100.465831 133.225823 \nL 100.822494 133.287928 \nL 101.256013 133.597663 \nL 101.541296 134.044257 \nL 101.575427 134.457782 \nL 101.403748 134.664721 \nL 101.098114 134.688399 \nL 100.6703 134.47189 \nL 100.329051 134.071261 \nL 100.203408 133.640547 \nL 100.299724 133.379 \nL 100.551512 133.281262 \nL 100.95834 133.409453 \nL 101.32963 133.749626 \nL 101.536248 134.235262 \nL 101.44849 134.548568 \nL 101.211392 134.645201 \nL 100.824653 134.528488 \nL 100.418905 134.139419 \nL 100.256898 133.674122 \nL 100.377533 133.398043 \nL 100.628777 133.338051 \nL 101.008017 133.48996 \nL 101.373229 133.887413 \nL 101.484192 134.321835 \nL 101.335334 134.555847 \nL 101.07966 134.583737 \nL 100.716189 134.407904 \nL 100.387434 134.008734 \nL 100.317629 133.600294 \nL 100.492736 133.404055 \nL 100.814033 133.428987 \nL 101.20581 133.714007 \nL 101.426729 134.125964 \nL 101.370219 134.454824 \nL 101.123396 134.543619 \nL 100.790687 134.418264 \nL 100.461605 134.07107 \nL 100.353414 133.68196 \nL 100.480278 133.468355 \nL 100.758884 133.451724 \nL 101.129076 133.679847 \nL 101.382683 134.107753 \nL 101.335154 134.413752 \nL 101.110252 134.499467 \nL 100.753234 134.351838 \nL 100.443603 133.962918 \nL 100.412457 133.627134 \nL 100.581355 133.482354 \nL 100.862631 133.527856 \nL 101.186967 133.789267 \nL 101.355967 134.18702 \nL 101.248583 134.423471 \nL 101.00722 134.44505 \nL 100.679621 134.250665 \nL 100.447031 133.872146 \nL 100.482315 133.595659 \nL 100.679515 133.51507 \nL 100.996342 133.64221 \nL 101.272551 133.983652 \nL 101.290456 134.313097 \nL 101.124223 134.419437 \nL 100.826481 134.332222 \nL 100.537119 134.021356 \nL 100.480978 133.687821 \nL 100.653708 133.552774 \nL 100.940717 133.636444 \nL 101.21838 133.934292 \nL 101.272687 134.253201 \nL 101.109493 134.384213 \nL 100.835828 134.30729 \nL 100.546134 133.980912 \nL 100.523167 133.684972 \nL 100.701878 133.584658 \nL 101.007648 133.714798 \nL 101.238823 134.052382 \nL 101.199498 134.302697 \nL 100.993483 134.346249 \nL 100.70307 134.169885 \nL 100.531891 133.835082 \nL 100.625805 133.634154 \nL 100.851004 133.645496 \nL 101.141072 133.895279 \nL 101.21607 134.204972 \nL 101.082359 134.321781 \nL 100.817077 134.240292 \nL 100.58578 133.953158 \nL 100.603174 133.692292 \nL 100.783961 133.649844 \nL 101.069497 133.833147 \nL 101.196075 134.157221 \nL 101.069959 134.29419 \nL 100.826083 134.222148 \nL 100.599308 133.92644 \nL 100.640301 133.701085 \nL 100.848607 133.692565 \nL 101.116695 133.931075 \nL 101.149635 134.208162 \nL 100.97978 134.267882 \nL 100.726688 134.110643 \nL 100.608742 133.822637 \nL 100.740882 133.694569 \nL 100.986762 133.799518 \nL 101.150501 134.099465 \nL 101.047163 134.245322 \nL 100.814806 134.170621 \nL 100.631796 133.88695 \nL 100.727816 133.719964 \nL 100.951284 133.79108 \nL 101.127315 134.062701 \nL 101.036761 134.223729 \nL 100.823126 134.157562 \nL 100.652074 133.896887 \nL 100.737833 133.740671 \nL 100.94326 133.80358 \nL 101.110194 134.075773 \nL 101.008134 134.207031 \nL 100.787667 134.109252 \nL 100.670562 133.843943 \nL 100.805085 133.757587 \nL 101.030678 133.911119 \nL 101.070903 134.150665 \nL 100.92165 134.178486 \nL 100.70821 133.977913 \nL 100.740999 133.782683 \nL 100.929659 133.826304 \nL 101.076261 134.074819 \nL 100.958738 134.171902 \nL 100.758466 134.039554 \nL 100.72752 133.81488 \nL 100.886643 133.813844 \nL 101.058182 134.030149 \nL 100.98666 134.156363 \nL 100.971241 134.157576 \nL 100.783699 134.05399 \nL 100.738762 133.828716 \nL 100.884397 133.825595 \nL 101.046686 134.040563 \nL 100.966178 134.143372 \nL 100.951225 134.142895 \nL 100.768722 134.017594 \nL 100.768269 133.82689 \nL 100.929659 133.866489 \nL 101.027605 134.087087 \nL 100.903347 134.119421 \nL 100.744252 133.938641 \nL 100.798097 133.831702 \nL 100.837364 133.832179 \nL 101.009958 133.983883 \nL 100.979468 134.113628 \nL 100.944247 134.118113 \nL 100.771527 133.986242 \nL 100.793152 133.846355 \nL 100.826909 133.841843 \nL 100.993026 133.967826 \nL 100.973171 134.102505 \nL 100.94098 134.107153 \nL 100.781185 133.987114 \nL 100.799221 133.857029 \nL 100.830065 133.852381 \nL 100.989777 133.979808 \nL 100.967248 134.092254 \nL 100.91529 134.093631 \nL 100.773356 133.939499 \nL 100.823058 133.862454 \nL 100.877579 133.873196 \nL 100.991533 134.043562 \nL 100.914147 134.084797 \nL 100.881226 134.07197 \nL 100.787365 133.897528 \nL 100.898085 133.892021 \nL 100.908482 133.899028 \nL 100.974221 134.059865 \nL 100.956502 134.074178 \nL 100.818633 134.009047 \nL 100.808859 133.887863 \nL 100.866589 133.88421 \nL 100.974037 134.039418 \nL 100.893354 134.063191 \nL 100.856358 134.04074 \nL 100.809044 133.899709 \nL 100.841498 133.8871 \nL 100.967696 134.001945 \nL 100.933987 134.062973 \nL 100.867854 134.042717 \nL 100.810575 133.911255 \nL 100.851471 133.89442 \nL 100.962269 134.021834 \nL 100.909566 134.055599 \nL 100.854982 134.026373 \nL 100.819484 133.912386 \nL 100.947452 134.039105 \nL 100.884611 133.97715 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb5baa9df20\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "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",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"282.812703pt\" version=\"1.1\" viewBox=\"0 0 293.046528 282.812703\" width=\"293.046528pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:31:35.241094</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 282.812703 \nL 293.046528 282.812703 \nL 293.046528 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 30.649173 208.79334 \nL 118.351637 134.959642 \nL 117.264199 28.641901 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 50.271552 215.202009 \nL 136.929886 140.359605 \nL 136.63269 33.551249 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 70.174564 221.702333 \nL 155.751816 145.830397 \nL 156.266208 38.527773 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 90.364274 228.296292 \nL 174.822253 151.373421 \nL 176.170233 43.572863 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 110.84692 234.985924 \nL 194.146152 156.990115 \nL 196.350392 48.687945 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 131.628925 241.773327 \nL 213.7286 162.68196 \nL 216.812472 53.874486 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 152.7169 248.660659 \nL 233.574821 168.450473 \nL 237.562423 59.133994 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 31.412753 208.150508 \nL 29.118742 210.081757 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −15 -->\n     <g transform=\"translate(12.562191 232.063144)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 51.026476 214.550019 \nL 48.758448 216.5088 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(32.204183 238.60744)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 70.920505 221.040989 \nL 68.679441 223.027894 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- −5 -->\n     <g transform=\"translate(55.309396 245.245682)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 91.100894 227.62539 \nL 88.887809 229.64103 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 0 -->\n     <g transform=\"translate(79.71129 251.979909)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 111.57387 234.305257 \nL 109.389816 236.350258 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 5 -->\n     <g transform=\"translate(100.21772 258.812217)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 132.345842 241.082679 \nL 130.191907 243.157689 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 10 -->\n     <g transform=\"translate(117.84376 265.744764)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 153.42341 247.959809 \nL 151.300721 250.065494 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 15 -->\n     <g transform=\"translate(138.958578 272.779774)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 26.417944 91.67931 \nL 31.621475 204.06934 \nL 180.702852 252.487456 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 38.960592 82.526257 \nL 43.55657 194.065106 \nL 191.524418 241.381867 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 51.214301 73.584058 \nL 55.228638 184.281347 \nL 202.094934 230.533917 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 63.188943 64.84551 \nL 66.646278 174.710855 \nL 212.423037 219.934743 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.893943 56.303734 \nL 77.817719 165.346732 \nL 222.51697 209.575885 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 86.338307 47.952158 \nL 88.75084 156.182373 \nL 232.384608 199.44926 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.530646 39.784499 \nL 99.453186 147.211454 \nL 242.033478 189.547147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 108.479193 31.794748 \nL 109.931989 138.427914 \nL 251.470774 179.862159 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 179.44643 252.0794 \nL 183.21895 253.304626 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −15 -->\n     <g transform=\"translate(183.052142 273.533015)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 190.278123 240.983331 \nL 194.020198 242.179961 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- −10 -->\n     <g transform=\"translate(193.728624 262.262939)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 200.858638 230.144571 \nL 204.570656 231.313596 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- −5 -->\n     <g transform=\"translate(207.338527 251.254471)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 211.19661 219.554273 \nL 214.878958 220.696637 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 0 -->\n     <g transform=\"translate(221.717725 240.498607)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_14\">\n     <path d=\"M 221.300285 209.20399 \nL 224.953348 210.320594 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 5 -->\n     <g transform=\"translate(231.675923 229.98675)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_15\">\n     <path d=\"M 231.17754 199.085654 \nL 234.801697 200.177361 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(238.229493 219.710691)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_16\">\n     <path d=\"M 240.835901 189.191556 \nL 244.431528 190.259188 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 15 -->\n     <g transform=\"translate(247.748367 209.662583)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_17\">\n     <path d=\"M 250.282564 179.514321 \nL 253.850035 180.558667 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 20 -->\n     <g transform=\"translate(257.058404 199.834925)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_18\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 256.97117 157.885417 \nL 114.981321 117.439227 \nL 26.448165 190.147719 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.668006 142.66829 \nL 114.811966 102.711716 \nL 25.697362 174.556808 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.373481 127.262519 \nL 114.640613 87.810404 \nL 24.936894 158.765205 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.087756 111.664575 \nL 114.467225 72.732196 \nL 24.166574 142.769009 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.810997 95.870839 \nL 114.291767 57.473923 \nL 23.386209 126.564219 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.543374 79.877603 \nL 114.114202 42.03234 \nL 22.595601 110.146727 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 255.779094 157.545851 \nL 259.358175 158.565362 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 5 -->\n     <g transform=\"translate(272.16329 162.912453)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_18\">\n    <g id=\"line2d_21\">\n     <path d=\"M 256.468311 142.332737 \nL 260.070288 143.340203 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- 10 -->\n     <g transform=\"translate(269.789599 147.725757)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_19\">\n    <g id=\"line2d_22\">\n     <path d=\"M 257.166068 126.931105 \nL 260.791235 127.926149 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_19\">\n     <!-- 15 -->\n     <g transform=\"translate(270.60714 132.351371)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_20\">\n    <g id=\"line2d_23\">\n     <path d=\"M 257.872525 111.33743 \nL 261.521183 112.319662 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_20\">\n     <!-- 20 -->\n     <g transform=\"translate(271.434846 116.785793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_21\">\n    <g id=\"line2d_24\">\n     <path d=\"M 258.587847 95.548097 \nL 262.260301 96.517116 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_21\">\n     <!-- 25 -->\n     <g transform=\"translate(272.272911 101.025434)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_22\">\n    <g id=\"line2d_25\">\n     <path d=\"M 259.3122 79.5594 \nL 263.008763 80.514793 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_22\">\n     <!-- 30 -->\n     <g transform=\"translate(273.121528 85.066616)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_26\">\n    <path clip-path=\"url(#p6c7363f20c)\" d=\"M 132.187022 192.910136 \nL 131.490023 191.811004 \nL 131.466988 191.486208 \nL 131.580142 191.240471 \nL 132.096536 190.870531 \nL 133.415176 190.388534 \nL 145.092863 186.709425 \nL 151.445432 184.376021 \nL 156.896921 182.170116 \nL 163.531537 179.226863 \nL 171.525966 175.291505 \nL 176.078104 172.853228 \nL 181.013367 170.040368 \nL 186.329715 166.803481 \nL 192.010593 163.0923 \nL 198.019528 158.858984 \nL 204.293617 154.063063 \nL 210.736006 148.678473 \nL 217.207838 142.703018 \nL 223.52057 136.170202 \nL 229.430218 129.162882 \nL 234.636059 121.826959 \nL 238.78712 114.381977 \nL 241.500408 107.12365 \nL 242.394359 100.412153 \nL 241.138648 94.640357 \nL 237.516235 90.180306 \nL 231.486002 87.314309 \nL 223.226977 86.168093 \nL 213.143581 86.670803 \nL 201.820321 88.563167 \nL 189.932879 91.456915 \nL 178.141705 94.925198 \nL 167.000884 98.589458 \nL 156.905332 102.174413 \nL 148.080659 105.522012 \nL 140.60474 108.573923 \nL 134.444656 111.339624 \nL 129.495424 113.86459 \nL 125.612864 116.206132 \nL 122.637979 118.418502 \nL 120.413269 120.54568 \nL 118.792564 122.619318 \nL 117.646154 124.65962 \nL 116.862733 126.677472 \nL 116.349325 128.676937 \nL 116.030003 130.657534 \nL 115.743515 134.548099 \nL 115.392146 145.346023 \nL 115.036615 148.580369 \nL 114.479481 151.621482 \nL 113.697243 154.472925 \nL 112.668032 157.140561 \nL 111.366743 159.630121 \nL 109.762459 161.945173 \nL 107.817188 164.085124 \nL 105.485475 166.042995 \nL 102.714798 167.802612 \nL 101.146835 168.599611 \nL 99.447045 169.334878 \nL 97.607806 170.001949 \nL 95.621684 170.592876 \nL 93.481698 171.097973 \nL 91.181677 171.505598 \nL 88.716705 171.801875 \nL 86.08369 171.97046 \nL 83.282057 171.99231 \nL 80.31462 171.845509 \nL 77.188589 171.505198 \nL 73.916775 170.943669 \nL 70.51894 170.130672 \nL 67.023278 169.034074 \nL 63.467939 167.620943 \nL 59.902467 165.8592 \nL 56.388979 163.719935 \nL 53.002804 161.180438 \nL 49.832271 158.227989 \nL 46.977228 154.864187 \nL 44.545972 151.109547 \nL 42.650241 147.007726 \nL 41.398245 142.628649 \nL 40.886001 138.0695 \nL 41.187664 133.45269 \nL 42.346113 128.920144 \nL 44.365301 124.62385 \nL 47.205939 120.713503 \nL 50.785771 117.322909 \nL 54.984844 114.557449 \nL 59.655193 112.484794 \nL 64.633504 111.130675 \nL 69.754649 110.480106 \nL 74.864042 110.483509 \nL 79.827274 111.065983 \nL 84.536136 112.137797 \nL 88.911013 113.604193 \nL 92.900202 115.373366 \nL 96.476994 117.361917 \nL 99.635457 119.497966 \nL 102.385721 121.722243 \nL 104.749376 123.987767 \nL 106.755352 126.258641 \nL 108.436498 128.508425 \nL 109.82691 130.718425 \nL 110.959971 132.876035 \nL 111.867023 134.973311 \nL 112.576544 137.005759 \nL 113.113727 138.971384 \nL 113.500347 140.869908 \nL 113.892479 144.469915 \nL 113.864249 147.819852 \nL 113.485711 150.937543 \nL 112.794828 153.840185 \nL 111.80522 156.542267 \nL 110.511945 159.054461 \nL 108.895509 161.382731 \nL 106.924573 163.52716 \nL 104.557934 165.480248 \nL 103.211109 166.380013 \nL 101.746415 167.224362 \nL 100.156863 168.00893 \nL 98.435356 168.728207 \nL 96.574857 169.375355 \nL 94.568626 169.94202 \nL 92.410517 170.4181 \nL 90.095355 170.791523 \nL 87.619411 171.048014 \nL 84.980997 171.170876 \nL 82.181191 171.140808 \nL 79.224713 170.935793 \nL 76.120949 170.53111 \nL 72.88513 169.899507 \nL 69.539654 169.011643 \nL 66.115466 167.836875 \nL 62.653451 166.34449 \nL 59.205662 164.505492 \nL 55.836218 162.295032 \nL 52.621579 159.695494 \nL 49.64988 156.700214 \nL 47.019005 153.317577 \nL 44.833057 149.575172 \nL 43.197032 145.523355 \nL 42.209783 141.237435 \nL 41.955608 136.817669 \nL 42.495327 132.386212 \nL 43.858029 128.080676 \nL 46.034908 124.044515 \nL 48.976565 120.415157 \nL 52.594632 117.311659 \nL 56.767895 114.823943 \nL 61.352093 113.005497 \nL 66.191925 111.870838 \nL 71.133358 111.397853 \nL 76.034467 111.534204 \nL 80.773566 112.206193 \nL 85.254006 113.328284 \nL 89.405757 114.811786 \nL 93.184342 116.571702 \nL 96.567888 118.531348 \nL 99.55314 120.624852 \nL 102.151121 122.79798 \nL 104.382941 125.007712 \nL 106.276098 127.221095 \nL 107.861407 129.413776 \nL 109.170625 131.568419 \nL 110.234707 133.673248 \nL 111.082632 135.720738 \nL 111.740676 137.706534 \nL 112.232044 139.628575 \nL 112.576768 141.486413 \nL 112.891043 145.012678 \nL 112.785258 148.297026 \nL 112.322664 151.354767 \nL 111.536345 154.200612 \nL 110.436288 156.846515 \nL 109.014714 159.300377 \nL 107.249862 161.56489 \nL 105.108717 163.636056 \nL 102.549242 165.501103 \nL 101.097611 166.349237 \nL 99.522816 167.135537 \nL 97.81831 167.854456 \nL 95.97766 168.499147 \nL 93.994792 169.061284 \nL 91.864281 169.530857 \nL 89.581742 169.895954 \nL 87.144297 170.142565 \nL 84.551156 170.254389 \nL 81.804329 170.212695 \nL 78.909461 169.996245 \nL 75.87682 169.581341 \nL 72.722407 168.942062 \nL 69.469181 168.050739 \nL 66.14832 166.878764 \nL 62.800484 165.39783 \nL 59.476854 163.58169 \nL 56.239859 161.408479 \nL 53.163261 158.863655 \nL 50.331361 155.94342 \nL 47.836988 152.658491 \nL 45.778027 149.037786 \nL 44.25235 145.131501 \nL 43.351213 141.012839 \nL 43.15153 136.777702 \nL 43.707784 132.541578 \nL 45.044679 128.433453 \nL 47.151751 124.586908 \nL 49.98116 121.129342 \nL 53.449376 118.170879 \nL 57.44285 115.794743 \nL 61.82694 114.050786 \nL 66.456789 112.953201 \nL 71.188477 112.482608 \nL 75.888892 112.591714 \nL 80.443209 113.213219 \nL 84.759403 114.26838 \nL 88.769891 115.674912 \nL 92.43073 117.353287 \nL 95.719086 119.231118 \nL 98.629697 121.245645 \nL 101.170938 123.344647 \nL 103.360984 125.486221 \nL 105.224372 127.637873 \nL 106.789122 129.775212 \nL 108.084464 131.880569 \nL 109.139156 133.941635 \nL 109.98032 135.950285 \nL 110.632706 137.901522 \nL 111.118292 139.792668 \nL 111.456139 141.622694 \nL 111.750542 145.100516 \nL 111.613557 148.343003 \nL 111.106075 151.362455 \nL 110.259806 154.170975 \nL 109.083886 156.778039 \nL 107.570001 159.188924 \nL 105.696179 161.403276 \nL 103.4297 163.413358 \nL 102.136692 164.336797 \nL 100.729724 165.201688 \nL 99.202924 166.003797 \nL 97.550354 166.737822 \nL 95.7662 167.39724 \nL 93.844997 167.974139 \nL 91.78192 168.459031 \nL 89.57314 168.840664 \nL 87.216276 169.105845 \nL 84.710932 169.239278 \nL 82.059354 169.223432 \nL 79.267207 169.038507 \nL 76.344472 168.66248 \nL 73.30646 168.071337 \nL 70.174913 167.239523 \nL 66.979159 166.140695 \nL 63.757218 164.748846 \nL 60.556748 163.039901 \nL 57.435686 160.993799 \nL 54.462314 158.597119 \nL 51.71457 155.84614 \nL 49.278279 152.750194 \nL 47.24411 149.334961 \nL 45.703106 145.645262 \nL 44.74089 141.746739 \nL 44.430793 137.72574 \nL 44.826613 133.68687 \nL 45.955856 129.747879 \nL 47.814618 126.03206 \nL 50.365047 122.658865 \nL 53.536221 119.733934 \nL 57.228517 117.340173 \nL 61.32107 115.531277 \nL 65.681235 114.328803 \nL 70.174628 113.723097 \nL 74.674396 113.677552 \nL 79.068569 114.135209 \nL 83.264935 115.02632 \nL 87.193277 116.275629 \nL 90.805327 117.808521 \nL 94.072961 119.555517 \nL 96.985293 121.455086 \nL 99.545223 123.454983 \nL 101.765921 125.512424 \nL 103.667582 127.593509 \nL 105.274615 129.672209 \nL 106.61337 131.729152 \nL 107.710404 133.750398 \nL 108.591222 135.726321 \nL 109.27945 137.650603 \nL 109.796335 139.519425 \nL 110.160515 141.330775 \nL 110.387959 143.083933 \nL 110.483743 146.416826 \nL 110.162794 149.524692 \nL 109.472022 152.416926 \nL 108.432785 155.101949 \nL 107.04657 157.58491 \nL 105.299471 159.865945 \nL 103.165689 161.938404 \nL 101.943229 162.891952 \nL 100.610589 163.78663 \nL 99.162592 164.618597 \nL 97.593967 165.383039 \nL 95.899517 166.074028 \nL 94.074335 166.68437 \nL 92.11407 167.205457 \nL 90.015247 167.627088 \nL 87.775666 167.937314 \nL 85.394893 168.12229 \nL 82.874832 168.166174 \nL 80.220415 168.051074 \nL 77.440395 167.757097 \nL 74.548236 167.262524 \nL 71.563091 166.544197 \nL 68.510823 165.578136 \nL 65.425009 164.340484 \nL 62.347802 162.808843 \nL 59.330575 160.964037 \nL 56.434109 158.792328 \nL 53.728133 156.288048 \nL 51.290015 153.45651 \nL 49.202373 150.316963 \nL 47.549465 146.905228 \nL 46.41237 143.275499 \nL 45.863163 139.500822 \nL 45.958517 135.671624 \nL 46.733468 131.892047 \nL 48.196236 128.274015 \nL 50.324986 124.929455 \nL 53.06734 121.961587 \nL 56.342928 119.456526 \nL 60.048891 117.476482 \nL 64.067551 116.055699 \nL 68.275207 115.199628 \nL 72.550833 114.8873 \nL 76.783548 115.076195 \nL 80.878146 115.708536 \nL 84.758345 116.717937 \nL 88.367875 118.035445 \nL 91.669721 119.594351 \nL 94.644079 121.333575 \nL 97.285547 123.19965 \nL 99.600005 125.147493 \nL 101.60156 127.140343 \nL 103.309782 129.149126 \nL 104.747355 131.151495 \nL 105.938211 133.13078 \nL 106.906109 135.074913 \nL 107.673636 136.975498 \nL 108.261551 138.82694 \nL 108.6884 140.62577 \nL 108.970351 142.37007 \nL 109.121175 144.059016 \nL 109.073083 147.270986 \nL 108.610789 150.265551 \nL 107.772178 153.048681 \nL 106.572202 155.624893 \nL 105.007956 157.994882 \nL 103.062824 160.153549 \nL 101.939362 161.149946 \nL 100.710028 162.087877 \nL 99.370457 162.964051 \nL 97.916114 163.77432 \nL 96.342454 164.513559 \nL 94.645111 165.175535 \nL 92.820124 165.752773 \nL 90.864229 166.236407 \nL 88.77519 166.616038 \nL 86.552218 166.879611 \nL 84.196459 167.013301 \nL 81.711583 167.001468 \nL 79.104449 166.826657 \nL 76.385872 166.46973 \nL 73.571462 165.91013 \nL 70.682522 165.126345 \nL 67.746929 164.096632 \nL 64.799974 162.80005 \nL 61.885017 161.217837 \nL 59.053837 159.335191 \nL 56.366507 157.143415 \nL 53.89062 154.642365 \nL 51.699659 151.843043 \nL 49.870373 148.770076 \nL 48.479095 145.46372 \nL 47.597065 141.980957 \nL 47.285054 138.395198 \nL 47.587708 134.794215 \nL 48.528367 131.276139 \nL 50.105084 127.943594 \nL 52.288576 124.896532 \nL 55.02271 122.224621 \nL 58.227589 120.000273 \nL 61.805011 118.27335 \nL 65.645576 117.068419 \nL 69.636465 116.384776 \nL 73.668849 116.199078 \nL 77.644117 116.469913 \nL 81.478333 117.143382 \nL 85.104717 118.158831 \nL 88.474325 119.453924 \nL 91.555191 120.968673 \nL 94.330438 122.648233 \nL 96.795775 124.444518 \nL 98.95675 126.316831 \nL 100.826095 128.231798 \nL 102.421308 130.162819 \nL 103.762617 132.08924 \nL 104.871351 133.995455 \nL 105.768686 135.869984 \nL 106.474775 137.704655 \nL 107.008153 139.493844 \nL 107.385396 141.233886 \nL 107.620961 142.922546 \nL 107.727158 144.558612 \nL 107.714214 146.141583 \nL 107.362156 149.148291 \nL 106.610208 151.944487 \nL 105.480195 154.531948 \nL 103.975347 156.909466 \nL 103.07937 158.017732 \nL 102.08466 159.070535 \nL 100.988256 160.065866 \nL 99.786775 161.001084 \nL 98.476554 161.872825 \nL 97.053791 162.676897 \nL 95.514708 163.408182 \nL 93.855749 164.060502 \nL 92.073815 164.62651 \nL 90.166542 165.097554 \nL 88.132644 165.463568 \nL 85.972301 165.712964 \nL 83.687646 165.832562 \nL 81.283303 165.807573 \nL 78.76702 165.621639 \nL 76.150367 165.256998 \nL 73.449497 164.69479 \nL 70.685923 163.915531 \nL 67.887296 162.89984 \nL 65.088083 161.629443 \nL 62.330073 160.088476 \nL 59.662551 158.265131 \nL 57.142062 156.1536 \nL 54.831542 153.756236 \nL 52.79869 151.0858 \nL 51.113475 148.167525 \nL 49.844746 145.040717 \nL 49.056028 141.759498 \nL 48.800769 138.392294 \nL 49.117466 135.019824 \nL 50.025252 131.7314 \nL 51.520566 128.619746 \nL 53.575581 125.774752 \nL 56.138722 123.276921 \nL 59.137447 121.191408 \nL 62.483006 119.563522 \nL 66.076586 118.416315 \nL 69.816053 117.75057 \nL 73.602414 117.54693 \nL 77.345307 117.769748 \nL 80.967003 118.371807 \nL 84.404755 119.299264 \nL 87.611587 120.496101 \nL 90.555728 121.907739 \nL 93.219107 123.48366 \nL 95.595246 125.178968 \nL 97.686913 126.955159 \nL 99.503769 128.780164 \nL 101.060219 130.628009 \nL 102.373539 132.478161 \nL 103.462371 134.314785 \nL 104.345529 136.125937 \nL 105.04115 137.902841 \nL 105.566094 139.639231 \nL 105.935577 141.33075 \nL 106.162982 142.974499 \nL 106.259786 144.56864 \nL 106.23559 146.112062 \nL 106.098206 147.604157 \nL 105.506922 150.433214 \nL 104.517664 153.054122 \nL 103.142478 155.46377 \nL 102.309646 156.587314 \nL 101.378174 157.65483 \nL 100.345957 158.664346 \nL 99.210448 159.613316 \nL 97.968788 160.498533 \nL 96.617955 161.316038 \nL 95.154929 162.061025 \nL 93.576883 162.727728 \nL 91.881405 163.309318 \nL 90.066764 163.797806 \nL 88.132217 164.183924 \nL 86.078383 164.457062 \nL 83.907664 164.605197 \nL 81.624738 164.614904 \nL 79.237122 164.4714 \nL 76.755783 164.158697 \nL 74.195803 163.659887 \nL 71.577062 162.957574 \nL 68.924903 162.034513 \nL 66.270713 160.874489 \nL 63.65235 159.463445 \nL 61.114305 157.790903 \nL 58.707483 155.851628 \nL 56.488486 153.64747 \nL 54.518236 151.189293 \nL 52.859884 148.498773 \nL 51.57596 145.609789 \nL 50.724829 142.569167 \nL 50.356634 139.43642 \nL 50.509096 136.282216 \nL 51.203578 133.185502 \nL 52.441999 130.22928 \nL 54.205082 127.495462 \nL 56.452311 125.059249 \nL 59.123802 122.983824 \nL 62.143919 121.316099 \nL 65.426247 120.08401 \nL 68.879279 119.295813 \nL 72.412153 118.941258 \nL 75.939747 118.994337 \nL 79.386687 119.417088 \nL 82.690004 120.163761 \nL 85.800395 121.184868 \nL 88.682262 122.430638 \nL 91.312793 123.853668 \nL 93.680378 125.410742 \nL 95.782671 127.063868 \nL 97.624551 128.78065 \nL 99.216146 130.534185 \nL 100.571082 132.302679 \nL 101.704986 134.068857 \nL 102.634283 135.819309 \nL 103.375279 137.543838 \nL 103.943503 139.234838 \nL 104.353249 140.886758 \nL 104.617315 142.495626 \nL 104.746864 144.058652 \nL 104.751388 145.573914 \nL 104.638747 147.040082 \nL 104.41525 148.456212 \nL 104.085766 149.821568 \nL 103.653853 151.135475 \nL 103.12189 152.397225 \nL 102.491212 153.605948 \nL 101.762238 154.760548 \nL 100.934608 155.8596 \nL 100.007307 156.901289 \nL 98.978797 157.883314 \nL 97.847149 158.802823 \nL 96.610187 159.656314 \nL 95.265649 160.439552 \nL 93.81136 161.14748 \nL 92.245436 161.774122 \nL 90.566516 162.312491 \nL 88.774042 162.754502 \nL 86.868566 163.090907 \nL 84.852123 163.311235 \nL 82.72865 163.403788 \nL 80.504463 163.355671 \nL 78.188773 163.152917 \nL 75.794266 162.780687 \nL 73.337678 162.223614 \nL 70.840387 161.466311 \nL 68.328931 160.494037 \nL 65.835431 159.293612 \nL 63.397821 157.854543 \nL 61.05978 156.170371 \nL 58.870297 154.240189 \nL 56.882719 152.07027 \nL 55.153237 149.675663 \nL 53.738727 147.081563 \nL 52.693976 144.32422 \nL 52.068405 141.451173 \nL 51.902492 138.520504 \nL 52.224223 135.599017 \nL 53.046004 132.759273 \nL 54.362431 130.075633 \nL 56.149332 127.619665 \nL 58.364339 125.455409 \nL 60.949007 123.635124 \nL 63.832313 122.19604 \nL 66.935155 121.15858 \nL 70.175266 120.52618 \nL 73.472021 120.286648 \nL 76.75061 120.414732 \nL 79.945238 120.875411 \nL 83.001177 121.627435 \nL 85.875681 122.626673 \nL 88.537888 123.828961 \nL 90.967975 125.192291 \nL 93.155757 126.678286 \nL 95.099038 128.253054 \nL 96.801858 129.887509 \nL 98.272822 131.557299 \nL 99.523591 133.242491 \nL 100.567611 134.927077 \nL 101.419072 136.598441 \nL 102.092114 138.246804 \nL 102.600242 139.864705 \nL 102.955929 141.446526 \nL 103.170368 142.988081 \nL 103.253344 144.486269 \nL 103.21319 145.938782 \nL 103.056815 147.343857 \nL 102.789766 148.700091 \nL 102.416323 150.006261 \nL 101.939611 151.261208 \nL 101.361718 152.463698 \nL 100.683828 153.612336 \nL 99.906336 154.705473 \nL 99.028981 155.74112 \nL 98.050981 156.716864 \nL 96.971168 157.629788 \nL 95.788129 158.476393 \nL 94.500372 159.252513 \nL 93.106498 159.953227 \nL 91.605403 160.572788 \nL 89.996503 161.104537 \nL 88.279999 161.540833 \nL 86.457167 161.873007 \nL 84.530712 162.091324 \nL 82.505144 162.184994 \nL 80.387212 162.142234 \nL 78.186369 161.950381 \nL 75.915275 161.596129 \nL 73.590298 161.06585 \nL 71.232001 160.346072 \nL 68.865581 159.424108 \nL 66.521183 158.288886 \nL 64.234036 156.931941 \nL 62.044347 155.348602 \nL 59.996826 153.539309 \nL 58.139808 151.51098 \nL 56.523862 149.27835 \nL 55.199892 146.865072 \nL 54.216705 144.304441 \nL 53.618202 141.63951 \nL 53.440315 138.922396 \nL 53.708005 136.212701 \nL 54.43265 133.574984 \nL 55.610134 131.075438 \nL 57.220001 128.778011 \nL 59.225849 126.740426 \nL 61.577038 125.010532 \nL 64.211543 123.623474 \nL 67.059685 122.600009 \nL 70.048268 121.946145 \nL 73.104717 121.654063 \nL 76.160762 121.704073 \nL 79.155343 122.067275 \nL 82.036629 122.708529 \nL 84.76303 123.589305 \nL 87.303374 124.670254 \nL 89.636366 125.913234 \nL 91.749548 127.282753 \nL 93.637953 128.746909 \nL 95.30263 130.277818 \nL 96.749194 131.851703 \nL 97.986475 133.448714 \nL 99.025348 135.052604 \nL 99.877749 136.650266 \nL 100.555906 138.231305 \nL 101.071747 139.787556 \nL 101.436489 141.312675 \nL 101.660352 142.801766 \nL 101.752402 144.251038 \nL 101.720474 145.657532 \nL 101.571152 147.018886 \nL 101.309825 148.333131 \nL 100.94074 149.59853 \nL 100.467104 150.813432 \nL 99.891184 151.976152 \nL 99.214424 153.084873 \nL 98.437566 154.13754 \nL 97.560775 155.131787 \nL 96.583775 156.06484 \nL 95.50598 156.933444 \nL 94.326659 157.733786 \nL 93.045091 158.461419 \nL 91.660748 159.111182 \nL 90.173509 159.677134 \nL 88.583892 160.152503 \nL 86.893313 160.529627 \nL 85.10439 160.79993 \nL 83.221271 160.95394 \nL 81.250009 160.981318 \nL 79.198964 160.870969 \nL 77.079226 160.61123 \nL 74.90505 160.190123 \nL 72.694277 159.595753 \nL 70.468719 158.816817 \nL 68.254442 157.843266 \nL 66.081933 156.667127 \nL 63.986049 155.283451 \nL 62.005721 153.691418 \nL 60.183285 151.89547 \nL 58.563455 149.90647 \nL 57.191845 147.74269 \nL 56.113058 145.430558 \nL 55.368419 143.004956 \nL 54.993434 140.508927 \nL 55.015202 137.99265 \nL 55.450004 135.511679 \nL 56.301387 133.124439 \nL 57.558948 130.889162 \nL 59.198128 128.860534 \nL 61.181025 127.086458 \nL 63.458287 125.605219 \nL 65.971845 124.443481 \nL 68.658239 123.615275 \nL 71.452169 123.122093 \nL 74.289878 122.953929 \nL 77.112107 123.091159 \nL 79.866353 123.506835 \nL 82.508347 124.169161 \nL 85.002756 125.043868 \nL 87.323195 126.09625 \nL 89.451686 127.292798 \nL 91.377727 128.602359 \nL 93.097138 129.996846 \nL 94.610821 131.451611 \nL 95.92353 132.945494 \nL 97.042747 134.46067 \nL 97.977693 135.982387 \nL 98.738517 137.498595 \nL 99.335628 138.999569 \nL 99.779206 140.477525 \nL 100.078845 141.926271 \nL 100.243305 143.340872 \nL 100.280375 144.717382 \nL 100.196801 146.052581 \nL 99.998274 147.343777 \nL 99.68946 148.588617 \nL 99.274069 149.784946 \nL 98.754927 150.930659 \nL 98.134081 152.023597 \nL 97.412907 153.061453 \nL 96.592227 154.04166 \nL 95.672437 154.961326 \nL 94.653644 155.817144 \nL 93.535806 156.605322 \nL 92.318902 157.321508 \nL 91.003104 157.960726 \nL 89.588976 158.517323 \nL 88.077699 158.98491 \nL 86.471307 159.356334 \nL 84.772975 159.623671 \nL 82.987314 159.778234 \nL 81.120707 159.81064 \nL 79.181659 159.710919 \nL 77.181175 159.468692 \nL 75.133126 159.073428 \nL 73.054601 158.514816 \nL 70.966209 157.783226 \nL 68.89231 156.870303 \nL 66.861096 155.769694 \nL 64.904522 154.477893 \nL 63.057969 152.995143 \nL 61.359647 151.326424 \nL 59.849649 149.482406 \nL 58.568648 147.480242 \nL 57.556252 145.344157 \nL 56.84905 143.105651 \nL 56.478458 140.803202 \nL 56.468549 138.481407 \nL 56.834018 136.189445 \nL 57.578547 133.97901 \nL 58.693785 131.901745 \nL 60.159099 130.006465 \nL 61.94219 128.336405 \nL 64.000596 126.926813 \nL 66.283905 125.80317 \nL 68.736499 124.980182 \nL 71.300525 124.461709 \nL 73.918801 124.241457 \nL 76.537407 124.3044 \nL 79.107749 124.628606 \nL 81.588008 125.187301 \nL 83.943924 125.950869 \nL 86.148992 126.88868 \nL 88.184163 127.970569 \nL 90.037179 129.16797 \nL 91.701664 130.45468 \nL 93.17609 131.807276 \nL 94.462743 133.205287 \nL 95.566726 134.63117 \nL 96.495066 136.070105 \nL 97.255958 137.509761 \nL 97.858132 138.939976 \nL 98.310363 140.352442 \nL 98.62111 141.740383 \nL 98.798252 143.098282 \nL 98.848916 144.421599 \nL 98.779394 145.706564 \nL 98.595093 146.94995 \nL 98.300553 148.148917 \nL 97.899483 149.300842 \nL 97.39483 150.40321 \nL 96.788858 151.453482 \nL 96.083253 152.448998 \nL 95.279232 153.386888 \nL 94.377662 154.263988 \nL 93.3792 155.076764 \nL 92.284433 155.82124 \nL 91.094035 156.49294 \nL 89.808953 157.086829 \nL 88.430591 157.597264 \nL 86.961034 158.017966 \nL 85.403278 158.342003 \nL 83.761501 158.561806 \nL 82.04134 158.669203 \nL 80.250194 158.655515 \nL 78.397547 158.511685 \nL 76.495277 158.228486 \nL 74.557969 157.79681 \nL 72.603184 157.208029 \nL 70.651676 156.454474 \nL 68.727511 155.530001 \nL 66.858036 154.430676 \nL 65.073706 153.155511 \nL 63.407657 151.707275 \nL 61.895021 150.093312 \nL 60.571962 148.326254 \nL 59.474425 146.424629 \nL 58.636588 144.413178 \nL 58.089121 142.322817 \nL 57.85736 140.190172 \nL 57.959492 138.056617 \nL 58.40497 135.966781 \nL 59.193321 133.966638 \nL 60.313507 132.101274 \nL 61.743957 130.412544 \nL 63.453347 128.936853 \nL 65.402034 127.703265 \nL 67.544061 126.732194 \nL 69.82953 126.034744 \nL 72.207097 125.61277 \nL 74.626393 125.459596 \nL 77.040126 125.56125 \nL 79.405753 125.89802 \nL 81.686625 126.446162 \nL 83.852617 127.179562 \nL 85.880258 128.071246 \nL 87.752467 129.09459 \nL 89.458 130.22428 \nL 90.990681 131.436946 \nL 92.348552 132.711553 \nL 93.532998 134.029539 \nL 94.547904 135.37482 \nL 95.398909 136.733661 \nL 96.092742 138.09446 \nL 96.636689 139.447514 \nL 97.038163 140.784742 \nL 97.304377 142.099436 \nL 97.442112 143.385995 \nL 97.457561 144.63971 \nL 97.356235 145.856565 \nL 97.142935 147.033043 \nL 96.821747 148.165969 \nL 96.396076 149.252379 \nL 95.868706 150.289389 \nL 95.241885 151.274094 \nL 94.51741 152.203469 \nL 93.696741 153.07429 \nL 92.781118 153.883047 \nL 91.771691 154.625883 \nL 90.669679 155.298533 \nL 89.476518 155.896268 \nL 88.194043 156.413859 \nL 86.824689 156.845551 \nL 85.371694 157.185045 \nL 83.83934 157.425516 \nL 82.233204 157.559656 \nL 80.560411 157.579752 \nL 78.82992 157.477809 \nL 77.052785 157.245742 \nL 75.242424 156.875607 \nL 73.414839 156.359938 \nL 71.588795 155.692136 \nL 69.785922 154.866968 \nL 68.030681 153.881121 \nL 66.350207 152.733844 \nL 64.77396 151.42761 \nL 63.333154 149.968797 \nL 62.059958 148.368304 \nL 60.986451 146.642045 \nL 60.143356 144.811257 \nL 59.558592 142.902499 \nL 59.255732 140.94733 \nL 59.252466 138.981553 \nL 59.559222 137.044094 \nL 60.178066 135.175445 \nL 61.10204 133.415877 \nL 62.315019 131.803496 \nL 63.792165 130.372319 \nL 65.500965 129.150615 \nL 67.402729 128.159595 \nL 69.454508 127.412653 \nL 71.611153 126.915167 \nL 73.827398 126.664863 \nL 76.059776 126.65264 \nL 78.268192 126.863758 \nL 80.417139 127.279186 \nL 82.476445 127.877043 \nL 84.421623 128.633916 \nL 86.233844 129.526038 \nL 87.899608 130.530204 \nL 89.410212 131.6245 \nL 90.761078 132.788737 \nL 91.951029 134.004744 \nL 92.981563 135.256436 \nL 93.856163 136.529812 \nL 94.579696 137.812807 \nL 95.15788 139.095145 \nL 95.596852 140.368097 \nL 95.902828 141.624292 \nL 96.081847 142.857483 \nL 96.139585 144.062339 \nL 96.081238 145.234267 \nL 95.911451 146.369231 \nL 95.6343 147.463595 \nL 94.771443 149.517181 \nL 93.514918 151.369179 \nL 91.881021 152.992916 \nL 89.883353 154.358355 \nL 87.536971 155.430165 \nL 84.863454 156.166498 \nL 83.414009 156.393909 \nL 81.896917 156.518723 \nL 80.319534 156.534005 \nL 78.690891 156.432661 \nL 77.021924 156.207628 \nL 75.325692 155.852098 \nL 73.617547 155.359825 \nL 71.915264 154.725481 \nL 70.239089 153.945104 \nL 68.61168 153.016574 \nL 67.057917 151.940174 \nL 65.604562 150.719138 \nL 64.279716 149.360213 \nL 63.112093 147.874157 \nL 62.130105 146.276107 \nL 61.360744 144.58579 \nL 60.828348 142.827475 \nL 60.553307 141.02964 \nL 60.550777 139.224311 \nL 60.829533 137.446044 \nL 61.391091 135.730653 \nL 62.229145 134.113688 \nL 63.329491 132.6288 \nL 64.670395 131.306165 \nL 66.223444 130.171075 \nL 67.954807 129.242837 \nL 69.826807 128.534105 \nL 71.799636 128.050664 \nL 73.83313 127.791659 \nL 75.888376 127.750244 \nL 77.92911 127.914502 \nL 79.922788 128.268557 \nL 81.841317 128.793746 \nL 83.661423 129.469761 \nL 85.364715 130.275658 \nL 86.937484 131.190687 \nL 88.370304 132.194974 \nL 89.65751 133.269942 \nL 90.796603 134.39863 \nL 91.78764 135.565814 \nL 92.632644 136.758028 \nL 93.33507 137.96351 \nL 93.899322 139.172076 \nL 94.330367 140.374949 \nL 94.633405 141.564592 \nL 94.813623 142.734522 \nL 94.876012 143.879123 \nL 94.665569 146.07329 \nL 94.034449 148.1136 \nL 93.008307 149.971158 \nL 91.60725 151.618203 \nL 89.848301 153.025421 \nL 87.74886 154.159929 \nL 85.331022 154.983921 \nL 82.626757 155.454235 \nL 79.683812 155.523156 \nL 78.143633 155.391545 \nL 76.572053 155.141082 \nL 74.982254 154.76613 \nL 73.389468 154.26175 \nL 71.811049 153.62406 \nL 70.266463 152.850625 \nL 68.77716 151.940896 \nL 67.366355 150.896678 \nL 66.058638 149.722598 \nL 64.879425 148.426552 \nL 63.854271 147.020061 \nL 63.008012 145.518513 \nL 62.363764 143.941258 \nL 61.941864 142.311437 \nL 61.758756 140.655601 \nL 61.82597 139.003034 \nL 62.149208 137.384819 \nL 62.727708 135.832676 \nL 63.553895 134.377679 \nL 64.613415 133.04887 \nL 65.885559 131.871988 \nL 67.34408 130.868332 \nL 68.9583 130.053927 \nL 70.694473 129.439043 \nL 72.517234 129.028064 \nL 74.39107 128.819731 \nL 76.281662 128.807711 \nL 78.157018 128.981363 \nL 79.988376 129.326687 \nL 81.750783 129.827276 \nL 83.42342 130.465279 \nL 84.989649 131.222222 \nL 86.43686 132.079736 \nL 87.756141 133.020091 \nL 88.941864 134.02662 \nL 89.991178 135.083958 \nL 90.903513 136.178189 \nL 91.680078 137.296879 \nL 92.323406 138.429035 \nL 92.836949 139.565027 \nL 93.491084 141.815949 \nL 93.67695 143.994437 \nL 93.427923 146.057814 \nL 92.773222 147.971455 \nL 91.737249 149.704979 \nL 90.340634 151.229174 \nL 88.602566 152.513613 \nL 86.544061 153.52493 \nL 84.192076 154.225857 \nL 81.584345 154.575226 \nL 78.774718 154.529313 \nL 77.316777 154.344506 \nL 75.838593 154.045041 \nL 74.353725 153.626554 \nL 72.877548 153.085573 \nL 71.427255 152.419839 \nL 70.021779 151.628682 \nL 68.681604 150.713401 \nL 67.428462 149.677659 \nL 66.284918 148.527858 \nL 65.273789 147.27346 \nL 64.417476 145.927206 \nL 63.737143 144.505241 \nL 63.251829 143.027031 \nL 62.977541 141.515099 \nL 62.926329 139.994548 \nL 63.1055 138.492356 \nL 63.516965 137.036478 \nL 64.156848 135.654797 \nL 65.015351 134.373998 \nL 66.076968 133.21847 \nL 67.321003 132.209251 \nL 68.72237 131.363226 \nL 70.252644 130.692536 \nL 71.881231 130.204296 \nL 73.576614 129.900625 \nL 75.307551 129.778926 \nL 77.04415 129.83244 \nL 78.758765 130.050933 \nL 80.426669 130.42148 \nL 82.026493 130.929274 \nL 83.540433 131.55839 \nL 84.95426 132.292477 \nL 86.257153 133.115315 \nL 87.441424 134.011256 \nL 88.502148 134.965559 \nL 89.436748 135.964573 \nL 90.244578 136.995877 \nL 91.484534 139.111796 \nL 92.240684 141.23788 \nL 92.540431 143.315101 \nL 92.413207 145.297061 \nL 91.886714 147.146047 \nL 90.985558 148.829496 \nL 89.731642 150.317033 \nL 88.145935 151.578165 \nL 86.251195 152.580606 \nL 84.075549 153.289366 \nL 81.656705 153.666717 \nL 79.046584 153.673421 \nL 76.315965 153.271539 \nL 74.933725 152.907034 \nL 73.558345 152.429321 \nL 72.205384 151.836573 \nL 70.891892 151.128363 \nL 69.636239 150.305996 \nL 68.457862 149.372821 \nL 67.376908 148.334555 \nL 66.413752 147.199546 \nL 65.588434 145.978967 \nL 64.91997 144.68691 \nL 64.425616 143.340334 \nL 64.120088 141.958874 \nL 64.014796 140.564443 \nL 64.117155 139.180679 \nL 64.430007 137.832226 \nL 64.951243 136.543869 \nL 65.673636 135.33962 \nL 66.584935 134.241747 \nL 67.668239 133.26992 \nL 68.902597 132.440444 \nL 70.26381 131.765698 \nL 71.725408 131.253815 \nL 73.259666 130.908581 \nL 74.838643 130.729598 \nL 76.43513 130.712653 \nL 78.023495 130.850216 \nL 79.580323 131.13209 \nL 81.084907 131.546057 \nL 82.519518 132.078552 \nL 83.869507 132.715268 \nL 85.123257 133.4417 \nL 86.272 134.24356 \nL 87.309556 135.107137 \nL 89.0374 136.968732 \nL 90.296473 138.934996 \nL 91.096442 140.93067 \nL 91.457892 142.895383 \nL 91.405736 144.78075 \nL 90.965226 146.547071 \nL 90.16016 148.160176 \nL 89.012856 149.588726 \nL 87.545445 150.802042 \nL 85.78218 151.768584 \nL 83.752533 152.455112 \nL 81.494874 152.826738 \nL 79.060487 152.848108 \nL 76.517467 152.486028 \nL 73.953861 151.713858 \nL 72.697684 151.168968 \nL 71.478963 150.517803 \nL 70.314387 149.761941 \nL 69.221505 148.904801 \nL 68.218405 147.951888 \nL 67.323304 146.91101 \nL 66.554039 145.792428 \nL 65.927498 144.608926 \nL 65.458975 143.375742 \nL 65.161535 142.110404 \nL 65.045345 140.832387 \nL 65.117111 139.562645 \nL 65.379591 138.323013 \nL 65.831244 137.135472 \nL 66.466117 136.021394 \nL 67.273878 135.00073 \nL 68.240113 134.09128 \nL 69.346799 133.308041 \nL 70.572978 132.66269 \nL 71.895533 132.163302 \nL 73.29004 131.814212 \nL 74.731657 131.616084 \nL 76.195944 131.56619 \nL 77.659597 131.658812 \nL 79.101048 131.88571 \nL 80.500922 132.236689 \nL 81.842329 132.700161 \nL 83.111008 133.26367 \nL 85.386217 134.639361 \nL 87.262771 136.262829 \nL 88.710191 138.041615 \nL 89.722441 139.896059 \nL 90.309223 141.760047 \nL 90.48884 143.579582 \nL 90.283204 145.310291 \nL 89.714953 146.914672 \nL 88.80639 148.359505 \nL 87.579862 149.613677 \nL 86.059273 150.646525 \nL 84.272416 151.426803 \nL 82.25398 151.922417 \nL 80.048891 152.101073 \nL 77.715738 151.932126 \nL 75.329655 151.389853 \nL 72.983999 150.458293 \nL 70.789666 149.137534 \nL 69.787781 148.337377 \nL 68.871022 147.450831 \nL 68.055656 146.485499 \nL 67.357482 145.45113 \nL 66.791329 144.359641 \nL 66.370525 143.22505 \nL 66.106323 142.063305 \nL 66.007382 140.89196 \nL 66.079271 139.72977 \nL 66.32408 138.596165 \nL 66.740157 137.51064 \nL 67.322013 136.4921 \nL 68.060372 135.558201 \nL 68.94241 134.724704 \nL 69.952189 134.004968 \nL 71.071181 133.409494 \nL 72.278956 132.945687 \nL 73.55389 132.617714 \nL 74.873899 132.426578 \nL 76.217155 132.370314 \nL 77.562705 132.444293 \nL 78.891008 132.641632 \nL 80.184337 132.953652 \nL 82.605761 133.880759 \nL 84.728915 135.137263 \nL 86.490626 136.632403 \nL 87.8577 138.281266 \nL 88.819719 140.009128 \nL 89.381665 141.752686 \nL 89.557665 143.459207 \nL 89.366468 145.084643 \nL 88.828726 146.591358 \nL 87.965885 147.945931 \nL 86.800413 149.11726 \nL 85.357052 150.075159 \nL 83.664861 150.789535 \nL 81.759831 151.230289 \nL 79.687743 151.368076 \nL 77.507002 151.176194 \nL 75.290864 150.633706 \nL 73.128356 149.729879 \nL 71.123018 148.469735 \nL 70.214617 147.713388 \nL 69.388559 146.879984 \nL 68.659314 145.977099 \nL 68.040781 145.014192 \nL 67.545831 144.002589 \nL 67.185851 142.955384 \nL 66.97027 141.887257 \nL 66.906115 140.814181 \nL 66.997629 139.753047 \nL 67.245957 138.7212 \nL 67.648956 137.735909 \nL 68.201135 136.813812 \nL 68.893742 135.970353 \nL 69.714989 135.21929 \nL 70.650418 134.572222 \nL 71.683391 134.038264 \nL 72.795646 133.62383 \nL 73.967905 133.332548 \nL 75.180513 133.1653 \nL 76.414014 133.120401 \nL 77.649692 133.19384 \nL 80.059029 133.670225 \nL 82.288171 134.529749 \nL 84.246771 135.694147 \nL 85.874847 137.081956 \nL 87.138984 138.615799 \nL 88.026475 140.226446 \nL 88.539124 141.854185 \nL 88.687894 143.44842 \nL 88.488943 144.966213 \nL 87.961184 146.370457 \nL 87.125268 147.628025 \nL 86.003721 148.708208 \nL 84.622038 149.581563 \nL 83.010479 150.219314 \nL 81.206312 150.593447 \nL 79.256237 150.67761 \nL 77.218661 150.449036 \nL 75.165246 149.891558 \nL 73.181157 148.999681 \nL 71.363211 147.783432 \nL 69.815235 146.273268 \nL 69.174994 145.424069 \nL 68.640281 144.523942 \nL 68.222101 143.583757 \nL 67.929971 142.615835 \nL 67.77153 141.633789 \nL 67.75218 140.652216 \nL 67.874776 139.686367 \nL 68.139402 138.751719 \nL 68.543248 137.863523 \nL 69.080593 137.036326 \nL 69.742916 136.283524 \nL 70.51912 135.61693 \nL 71.395877 135.046415 \nL 72.358044 134.579651 \nL 73.389156 134.221938 \nL 74.471949 133.97617 \nL 75.588882 133.842862 \nL 77.856573 133.904878 \nL 80.063897 134.372325 \nL 82.10322 135.187399 \nL 83.892868 136.280242 \nL 85.377535 137.577656 \nL 86.52525 139.009397 \nL 87.322551 140.511786 \nL 87.769338 142.029089 \nL 87.874351 143.513325 \nL 87.651792 144.923212 \nL 87.119219 146.222654 \nL 86.296664 147.379263 \nL 85.206791 148.36308 \nL 83.875841 149.1457 \nL 82.335218 149.699895 \nL 80.623398 149.999891 \nL 78.787945 150.022451 \nL 76.887207 149.748807 \nL 74.991267 149.167555 \nL 73.181514 148.27837 \nL 71.548254 147.096191 \nL 70.185846 145.655149 \nL 69.185167 144.011249 \nL 68.845585 143.136821 \nL 68.623985 142.242526 \nL 68.526298 141.340994 \nL 68.556357 140.44558 \nL 68.715667 139.570028 \nL 69.003261 138.728103 \nL 69.415611 137.933214 \nL 69.946682 137.197988 \nL 70.588053 136.533911 \nL 71.329141 135.95098 \nL 72.157518 135.457427 \nL 73.059297 135.059504 \nL 75.022758 134.565216 \nL 77.095647 134.476862 \nL 79.158007 134.773364 \nL 81.104415 135.410624 \nL 82.850485 136.32996 \nL 84.33502 137.466157 \nL 85.518739 138.753882 \nL 86.38085 140.131852 \nL 86.914796 141.54499 \nL 87.124143 142.944969 \nL 87.019261 144.289726 \nL 86.615033 145.542388 \nL 85.929639 146.670081 \nL 84.984309 147.642825 \nL 83.803871 148.432677 \nL 82.417886 149.013363 \nL 80.862187 149.360416 \nL 79.180497 149.451991 \nL 77.425881 149.270449 \nL 75.661564 148.804719 \nL 73.960652 148.053382 \nL 72.40425 147.02815 \nL 71.077535 145.757246 \nL 70.063611 144.287825 \nL 69.435491 142.686464 \nL 69.283937 141.861897 \nL 69.247074 141.036749 \nL 69.327275 140.223185 \nL 69.524789 139.433552 \nL 69.837661 138.680029 \nL 70.2617 137.97431 \nL 70.790555 137.327257 \nL 71.415867 136.748602 \nL 72.127489 136.246666 \nL 73.761961 135.498015 \nL 75.589288 135.113528 \nL 77.498347 135.096852 \nL 79.382776 135.426201 \nL 81.149647 136.060371 \nL 82.724628 136.945917 \nL 84.053604 138.023895 \nL 85.101518 139.23517 \nL 85.849487 140.523971 \nL 86.291277 141.839693 \nL 86.429902 143.137429 \nL 86.274888 144.377635 \nL 85.840411 145.525294 \nL 85.144326 146.548998 \nL 84.20802 147.42008 \nL 83.056945 148.112052 \nL 81.721613 148.600436 \nL 80.238868 148.863107 \nL 78.653177 148.881254 \nL 77.017594 148.641015 \nL 75.394045 148.135738 \nL 73.852505 147.368773 \nL 72.468636 146.356451 \nL 71.319615 145.130656 \nL 70.478182 143.740294 \nL 70.005294 142.250837 \nL 69.942449 140.741254 \nL 70.305013 139.298174 \nL 71.078182 138.007833 \nL 72.216769 136.94708 \nL 73.649273 136.17526 \nL 75.285544 135.728594 \nL 77.026597 135.618147 \nL 78.774531 135.831479 \nL 80.440825 136.337061 \nL 81.951876 137.090175 \nL 83.251524 138.038904 \nL 84.300959 139.129212 \nL 85.07684 140.308623 \nL 85.568506 141.528411 \nL 85.775059 142.744557 \nL 85.702814 143.917829 \nL 85.363431 145.013299 \nL 84.772805 145.999663 \nL 83.95069 146.848547 \nL 82.920934 147.534028 \nL 81.712189 148.032462 \nL 80.358883 148.322749 \nL 78.902219 148.387133 \nL 77.390961 148.21255 \nL 75.881629 147.792541 \nL 74.437775 147.129577 \nL 73.127993 146.23756 \nL 72.022412 145.14404 \nL 71.187657 143.891505 \nL 70.680642 142.537119 \nL 70.541932 141.15037 \nL 70.789835 139.808341 \nL 71.416476 138.589056 \nL 72.386963 137.56383 \nL 73.642148 136.790016 \nL 75.104592 136.305621 \nL 76.686666 136.126733 \nL 78.299216 136.248094 \nL 79.859223 136.646231 \nL 81.295379 137.284225 \nL 82.551153 138.116871 \nL 83.58551 139.09538 \nL 84.371856 140.171011 \nL 84.895957 141.297462 \nL 85.1535 142.432152 \nL 85.147829 143.536633 \nL 84.888151 144.576417 \nL 84.388365 145.520544 \nL 83.666522 146.341045 \nL 82.744859 147.012573 \nL 81.650236 147.512251 \nL 80.414864 147.819904 \nL 79.077066 147.918724 \nL 77.68187 147.796394 \nL 76.281115 147.44673 \nL 74.93278 146.871609 \nL 73.699273 146.083099 \nL 72.644412 145.105307 \nL 71.829146 143.975515 \nL 71.306251 142.744029 \nL 71.114598 141.472276 \nL 71.27397 140.228959 \nL 71.78135 139.084507 \nL 72.609817 138.104558 \nL 73.710319 137.343576 \nL 75.016356 136.839848 \nL 76.450626 136.612654 \nL 77.932522 136.662106 \nL 79.385041 136.971317 \nL 80.740186 137.510126 \nL 81.942308 138.239536 \nL 82.949384 139.115891 \nL 83.732634 140.094367 \nL 84.275066 141.131445 \nL 84.569511 142.186385 \nL 84.616661 143.221904 \nL 84.423415 144.20427 \nL 84.00171 145.10308 \nL 83.367892 145.890905 \nL 82.542572 146.543016 \nL 81.55088 147.037286 \nL 80.422953 147.354383 \nL 79.194513 147.478355 \nL 77.907273 147.397594 \nL 76.608952 147.10621 \nL 75.352651 146.605687 \nL 74.195309 145.90664 \nL 73.195109 145.030406 \nL 72.407778 144.009987 \nL 71.882041 142.889938 \nL 71.654685 141.72481 \nL 71.745958 140.575978 \nL 72.156258 139.506942 \nL 72.864798 138.577817 \nL 73.830772 137.83974 \nL 74.997008 137.33024 \nL 76.295447 137.07044 \nL 77.653542 137.064403 \nL 79.000431 137.300511 \nL 80.272028 137.754387 \nL 81.414439 138.392595 \nL 82.385619 139.176365 \nL 83.15551 140.06479 \nL 83.705097 141.017318 \nL 84.024905 141.995314 \nL 84.113327 142.962957 \nL 83.975153 143.887525 \nL 83.62046 144.739365 \nL 83.063912 145.491726 \nL 82.324522 146.120547 \nL 81.425732 146.604445 \nL 80.395729 146.924892 \nL 79.267833 147.066728 \nL 78.080769 147.019 \nL 76.878589 146.776121 \nL 75.710059 146.33928 \nL 74.62727 145.717942 \nL 73.683347 144.931144 \nL 72.929262 144.008314 \nL 72.409882 142.989132 \nL 72.159709 141.922267 \nL 72.198857 140.862653 \nL 72.530038 139.86758 \nL 73.137216 138.991924 \nL 73.986327 138.283288 \nL 75.028119 137.777841 \nL 76.202694 137.49758 \nL 77.444939 137.449355 \nL 78.690023 137.625717 \nL 79.878061 138.007173 \nL 80.957504 138.565203 \nL 81.887008 139.26554 \nL 82.635965 140.071099 \nL 83.183993 140.94435 \nL 83.519808 141.848926 \nL 83.639874 142.750667 \nL 83.547111 143.618054 \nL 83.249852 144.422372 \nL 82.761154 145.137638 \nL 82.098465 145.74054 \nL 81.283591 146.210445 \nL 80.342866 146.529608 \nL 79.307378 146.683597 \nL 78.213118 146.662061 \nL 77.100831 146.459717 \nL 76.015401 146.07753 \nL 75.004586 145.524 \nL 74.116977 144.816246 \nL 73.399219 143.980643 \nL 72.892568 143.052723 \nL 72.629199 142.076059 \nL 72.628671 141.099955 \nL 72.89526 140.176124 \nL 73.416607 139.354567 \nL 74.164165 138.679362 \nL 75.095406 138.184939 \nL 76.157584 137.893453 \nL 77.292375 137.813688 \nL 78.440679 137.941463 \nL 79.546909 138.261327 \nL 80.562212 138.749075 \nL 81.446475 139.37455 \nL 82.169111 140.104273 \nL 82.708912 140.903695 \nL 83.053256 141.738809 \nL 83.19702 142.577224 \nL 83.141493 143.388797 \nL 82.893414 144.145872 \nL 82.464322 144.823337 \nL 81.870158 145.398685 \nL 81.131149 145.852045 \nL 80.271851 146.166423 \nL 79.32127 146.328089 \nL 78.312884 146.32725 \nL 77.284426 146.158896 \nL 76.277277 145.823838 \nL 75.335289 145.329757 \nL 74.502979 144.692102 \nL 73.823051 143.934646 \nL 73.333418 143.08933 \nL 73.063956 142.195288 \nL 73.033448 141.296881 \nL 73.247173 140.440821 \nL 73.695648 139.672645 \nL 74.354841 139.03301 \nL 75.187941 138.554393 \nL 76.148452 138.258645 \nL 77.184178 138.155805 \nL 78.241394 138.244223 \nL 79.268734 138.511799 \nL 80.220242 138.938054 \nL 81.05739 139.496525 \nL 81.750064 140.15711 \nL 82.276669 140.888142 \nL 82.623639 141.657959 \nL 82.784592 142.436047 \nL 82.759412 143.193709 \nL 82.553413 143.904439 \nL 82.176713 144.544094 \nL 81.643821 145.091007 \nL 80.973448 145.526097 \nL 80.188461 145.833103 \nL 79.315897 145.998964 \nL 78.386899 146.014403 \nL 77.436443 145.874673 \nL 76.502731 145.580443 \nL 75.626091 145.138684 \nL 74.847343 144.563409 \nL 74.205627 143.87611 \nL 73.73576 143.105598 \nL 73.46544 142.287134 \nL 73.412512 141.460707 \nL 73.582874 140.668577 \nL 73.969286 139.95218 \nL 74.55145 139.348937 \nL 75.297411 138.889296 \nL 76.166141 138.594469 \nL 77.110919 138.475254 \nL 78.083005 138.531917 \nL 79.035108 138.755144 \nL 79.924226 139.127651 \nL 80.713653 139.626268 \nL 81.37407 140.223995 \nL 81.883863 140.891909 \nL 82.228857 141.600664 \nL 82.401691 142.321627 \nL 82.401078 143.027611 \nL 82.231064 143.693337 \nL 81.900457 144.295681 \nL 81.422413 144.813868 \nL 80.814198 145.229611 \nL 80.097066 145.527361 \nL 79.296199 145.694711 \nL 78.00222 145.683145 \nL 76.697577 145.348615 \nL 75.882649 144.953096 \nL 75.155292 144.433504 \nL 74.5514 143.809334 \nL 74.102963 143.106642 \nL 73.835589 142.357273 \nL 73.766136 141.597368 \nL 73.900839 140.865172 \nL 74.234222 140.19842 \nL 74.749075 139.631482 \nL 75.417592 139.192763 \nL 76.203518 138.902646 \nL 77.06503 138.772312 \nL 77.957958 138.803483 \nL 78.838876 138.9891 \nL 80.05152 139.52371 \nL 81.036671 140.300504 \nL 81.716388 141.232702 \nL 81.976979 141.895499 \nL 82.076697 142.560566 \nL 82.015956 143.203025 \nL 81.800093 143.799803 \nL 81.438899 144.329911 \nL 80.946285 144.774646 \nL 80.000982 145.247024 \nL 78.876878 145.449234 \nL 77.667452 145.356705 \nL 76.48047 144.967052 \nL 75.431311 144.304794 \nL 74.864325 143.73755 \nL 74.438147 143.096415 \nL 74.176439 142.410211 \nL 74.095052 141.71164 \nL 74.200361 141.03539 \nL 74.48828 140.415813 \nL 74.944182 139.884451 \nL 75.5438 139.467718 \nL 76.255054 139.185041 \nL 77.040486 139.047703 \nL 78.2702 139.118107 \nL 79.445252 139.496675 \nL 80.45165 140.128706 \nL 81.203305 140.93967 \nL 81.64558 141.846367 \nL 81.754046 142.765499 \nL 81.641069 143.346398 \nL 81.386826 143.877088 \nL 80.765069 144.538142 \nL 79.902766 144.990073 \nL 78.870387 145.192638 \nL 77.754736 145.122512 \nL 76.655544 144.777196 \nL 75.679145 144.179023 \nL 74.928486 143.37771 \nL 74.597249 142.76734 \nL 74.42396 142.128194 \nL 74.419385 141.491067 \nL 74.585294 140.887625 \nL 74.913914 140.348249 \nL 75.388266 139.899897 \nL 75.98328 139.56419 \nL 76.667664 139.356021 \nL 77.784352 139.296995 \nL 78.900295 139.533571 \nL 79.902783 140.027211 \nL 80.700722 140.716426 \nL 81.230641 141.527107 \nL 81.457632 142.381399 \nL 81.373271 143.204119 \nL 80.992523 143.926895 \nL 80.350931 144.490803 \nL 79.502509 144.848553 \nL 78.517952 144.966907 \nL 77.48223 144.829836 \nL 76.49038 144.442047 \nL 75.640479 143.832097 \nL 75.023568 143.053604 \nL 74.711338 142.182887 \nL 74.693899 141.596265 \nL 74.832733 141.038223 \nL 75.121434 140.536534 \nL 75.545267 140.116026 \nL 76.384348 139.680013 \nL 77.379309 139.512906 \nL 78.419524 139.623108 \nL 79.396691 139.987242 \nL 80.217734 140.55706 \nL 80.812689 141.268463 \nL 81.137716 142.050207 \nL 81.174541 142.830825 \nL 80.928163 143.543447 \nL 80.424255 144.129031 \nL 79.70688 144.538761 \nL 78.836559 144.736344 \nL 77.888024 144.700749 \nL 76.9467 144.429263 \nL 76.10303 143.940416 \nL 75.444141 143.275547 \nL 75.043312 142.497726 \nL 74.948835 141.686791 \nL 75.174911 140.930225 \nL 75.697394 140.311202 \nL 76.45625 139.896295 \nL 77.364589 139.726019 \nL 78.322012 139.810518 \nL 79.228871 140.130851 \nL 79.998132 140.64472 \nL 80.56309 141.294312 \nL 80.880739 142.014207 \nL 80.931863 142.737887 \nL 80.719323 143.402524 \nL 80.26579 143.952301 \nL 79.611601 144.340954 \nL 78.812739 144.534078 \nL 77.938472 144.511694 \nL 77.067854 144.270991 \nL 76.284347 143.828813 \nL 75.668174 143.22289 \nL 75.286854 142.510688 \nL 75.185301 141.764853 \nL 75.377706 141.065099 \nL 75.843696 140.487604 \nL 76.530252 140.094054 \nL 77.359486 139.923099 \nL 78.240294 139.986084 \nL 79.08107 140.267815 \nL 79.800628 140.731223 \nL 80.335629 141.324198 \nL 80.644205 141.986755 \nL 80.706546 142.657094 \nL 80.523692 143.276311 \nL 80.115605 143.791767 \nL 79.51914 144.159679 \nL 78.786016 144.347464 \nL 77.980394 144.336134 \nL 77.175422 144.122798 \nL 76.448134 143.722743 \nL 75.872447 143.170414 \nL 75.510604 142.518202 \nL 75.404346 141.832276 \nL 75.567716 141.18533 \nL 75.98351 140.647149 \nL 76.604868 140.274849 \nL 77.361891 140.105116 \nL 78.171904 140.150135 \nL 78.950759 140.397824 \nL 79.622878 140.8157 \nL 80.128336 141.356856 \nL 80.426616 141.966325 \nL 80.497607 142.586803 \nL 80.340819 143.16317 \nL 79.973752 143.645873 \nL 79.43003 143.993537 \nL 78.757381 144.175351 \nL 78.01519 144.17327 \nL 77.271121 143.984305 \nL 76.59629 143.622331 \nL 76.058834 143.118775 \nL 75.716167 142.521434 \nL 75.607086 141.890629 \nL 75.745351 141.292696 \nL 76.116475 140.791591 \nL 76.67897 140.440166 \nL 77.370074 140.273132 \nL 78.114727 140.303156 \nL 78.835701 140.520775 \nL 79.462752 140.897565 \nL 79.939347 141.391294 \nL 80.226483 141.951666 \nL 80.303986 142.525615 \nL 80.170083 143.061651 \nL 79.840063 143.513203 \nL 79.34455 143.841251 \nL 78.727532 144.016646 \nL 78.04394 144.022271 \nL 77.356346 143.85505 \nL 76.730416 143.527531 \nL 76.228981 143.068391 \nL 75.905026 142.521258 \nL 75.79462 141.941163 \nL 75.911158 141.388676 \nL 76.242465 140.922442 \nL 76.751774 140.591337 \nL 77.382695 140.428091 \nL 78.067077 140.445624 \nL 78.734065 140.636688 \nL 79.485283 141.11639 \nL 79.879478 141.59366 \nL 80.09187 142.119348 \nL 80.10823 142.64432 \nL 79.931258 143.121653 \nL 79.579295 143.509702 \nL 79.084638 143.774554 \nL 78.49151 143.892216 \nL 77.640931 143.801187 \nL 76.851883 143.438214 \nL 76.384314 143.019557 \nL 76.078489 142.518387 \nL 75.967952 141.984933 \nL 76.065675 141.474559 \nL 76.361458 141.041028 \nL 76.822705 140.729542 \nL 77.398697 140.570917 \nL 78.237604 140.616924 \nL 79.018432 140.936364 \nL 79.610031 141.462665 \nL 79.922211 142.099591 \nL 79.946739 142.585492 \nL 79.791818 143.02956 \nL 79.473735 143.392716 \nL 79.021993 143.643018 \nL 78.283502 143.763597 \nL 77.500011 143.622323 \nL 76.802906 143.238085 \nL 76.315309 142.672372 \nL 76.143638 142.186814 \nL 76.161209 141.703364 \nL 76.366626 141.272493 \nL 76.737496 140.939153 \nL 77.233173 140.737048 \nL 77.994816 140.701161 \nL 78.743165 140.926958 \nL 79.349568 141.364971 \nL 79.718096 141.933014 \nL 79.797109 142.533513 \nL 79.661806 142.946375 \nL 79.249251 143.377454 \nL 78.635756 143.611362 \nL 77.92011 143.60957 \nL 77.220085 143.369348 \nL 76.655827 142.927391 \nL 76.329013 142.357651 \nL 76.278872 141.906606 \nL 76.404004 141.486811 \nL 76.690958 141.141943 \nL 77.269079 140.857807 \nL 77.967965 140.815347 \nL 78.659988 141.014535 \nL 79.225907 141.411873 \nL 79.575411 141.932843 \nL 79.658554 142.487645 \nL 79.468943 142.985952 \nL 79.041349 143.349035 \nL 78.445877 143.519373 \nL 77.779224 143.468297 \nL 77.152326 143.201609 \nL 76.673776 142.761608 \nL 76.430193 142.223187 \nL 76.467498 141.682259 \nL 76.778904 141.237352 \nL 77.304852 140.968694 \nL 77.946087 140.92119 \nL 78.585784 141.096739 \nL 79.113512 141.457108 \nL 79.444408 141.934786 \nL 79.530363 142.447152 \nL 79.363672 142.910294 \nL 78.975241 143.250572 \nL 78.429241 143.413873 \nL 77.814829 143.372921 \nL 77.234436 143.132463 \nL 76.788361 142.730948 \nL 76.556804 142.236779 \nL 76.582864 141.737724 \nL 76.861682 141.324234 \nL 77.340155 141.070565 \nL 77.928409 141.019274 \nL 78.519519 141.173799 \nL 79.011286 141.500567 \nL 79.324086 141.938417 \nL 79.411749 142.411409 \nL 79.265527 142.841657 \nL 78.912815 143.160339 \nL 78.412306 143.316586 \nL 77.846149 143.284467 \nL 77.30891 143.067768 \nL 76.893244 142.701404 \nL 76.673423 142.247872 \nL 76.689909 141.787493 \nL 76.939462 141.403332 \nL 77.374736 141.164123 \nL 77.914316 141.110092 \nL 78.460357 141.245922 \nL 78.918328 141.542154 \nL 79.213626 141.943398 \nL 79.302075 142.379883 \nL 79.174113 142.77939 \nL 78.853974 143.077643 \nL 78.395286 143.226883 \nL 77.8737 143.202454 \nL 77.266292 142.934898 \nL 76.918318 142.57398 \nL 76.761991 142.148396 \nL 76.825882 141.733786 \nL 77.097721 141.404715 \nL 77.526232 141.219397 \nL 78.032056 141.208059 \nL 78.635334 141.431627 \nL 79.059308 141.851623 \nL 79.197492 142.251861 \nL 79.135033 142.636678 \nL 78.885669 142.943519 \nL 78.492007 143.123128 \nL 77.897873 143.126454 \nL 77.335461 142.884979 \nL 76.955063 142.460567 \nL 76.854794 142.064832 \nL 76.957826 141.694961 \nL 77.244523 141.417148 \nL 77.661183 141.279918 \nL 78.247481 141.335896 \nL 78.756907 141.619611 \nL 79.058406 142.048332 \nL 79.081036 142.506816 \nL 78.896672 142.815516 \nL 78.46589 143.047478 \nL 77.91905 143.056056 \nL 77.398377 142.838228 \nL 77.042801 142.450126 \nL 76.949875 141.995962 \nL 77.084478 141.669285 \nL 77.37955 141.438755 \nL 77.888583 141.343835 \nL 78.418876 141.479421 \nL 78.828601 141.801812 \nL 79.014868 142.220529 \nL 78.936207 142.625213 \nL 78.617974 142.913069 \nL 78.143962 143.011799 \nL 77.637163 142.896066 \nL 77.231271 142.595261 \nL 77.036118 142.189111 \nL 77.105289 141.788373 \nL 77.417901 141.503311 \nL 77.884187 141.410309 \nL 78.373929 141.529738 \nL 78.756038 141.823147 \nL 78.934058 142.208174 \nL 78.867759 142.583081 \nL 78.578913 142.85226 \nL 78.143937 142.947923 \nL 77.676034 142.845668 \nL 77.298653 142.571733 \nL 77.113606 142.198866 \nL 77.171356 141.828568 \nL 77.454294 141.562453 \nL 77.881377 141.471749 \nL 78.333559 141.57678 \nL 78.74066 141.910443 \nL 78.866715 142.270724 \nL 78.766695 142.605365 \nL 78.470272 142.829089 \nL 78.055597 142.885432 \nL 77.555018 142.715245 \nL 77.229739 142.349532 \nL 77.186392 141.995492 \nL 77.36492 141.699579 \nL 77.713741 141.542089 \nL 78.2173 141.588587 \nL 78.629122 141.863498 \nL 78.798584 142.256242 \nL 78.711476 142.566524 \nL 78.441792 142.776123 \nL 77.979918 142.822768 \nL 77.532126 142.633591 \nL 77.26827 142.279907 \nL 77.265319 141.95696 \nL 77.462121 141.702358 \nL 77.802248 141.584649 \nL 78.264727 141.661639 \nL 78.618792 141.938399 \nL 78.735953 142.305127 \nL 78.623067 142.579824 \nL 78.282699 142.768167 \nL 77.842721 142.740631 \nL 77.468344 142.508059 \nL 77.302183 142.158931 \nL 77.371617 141.876183 \nL 77.610842 141.683332 \nL 78.024473 141.639544 \nL 78.42172 141.807682 \nL 78.653717 142.117782 \nL 78.639284 142.450507 \nL 78.389351 142.682843 \nL 77.999406 142.730546 \nL 77.615757 142.576857 \nL 77.38372 142.280204 \nL 77.39185 141.954759 \nL 77.634681 141.726573 \nL 78.014282 141.681937 \nL 78.382213 141.833105 \nL 78.600386 142.1172 \nL 78.592022 142.424791 \nL 78.365286 142.64186 \nL 78.007087 142.689532 \nL 77.603137 142.512788 \nL 77.418702 142.228199 \nL 77.460498 141.934751 \nL 77.70984 141.745794 \nL 78.066825 141.732032 \nL 78.434813 141.934346 \nL 78.577333 142.263322 \nL 78.46722 142.518801 \nL 78.186354 142.649903 \nL 77.786343 142.586007 \nL 77.502514 142.324806 \nL 77.464982 142.044706 \nL 77.63425 141.826413 \nL 77.99833 141.757542 \nL 78.356998 141.913281 \nL 78.529297 142.2077 \nL 78.46392 142.455989 \nL 78.228224 142.603184 \nL 77.859669 142.579051 \nL 77.569657 142.360909 \nL 77.506025 142.061457 \nL 77.658472 141.858377 \nL 77.992192 141.791181 \nL 78.324412 141.93135 \nL 78.487324 142.201593 \nL 78.404329 142.462943 \nL 78.122149 142.585377 \nL 77.784899 142.509483 \nL 77.549784 142.235292 \nL 77.592615 141.970592 \nL 77.845496 141.826144 \nL 78.173848 141.873391 \nL 78.426681 142.120093 \nL 78.419572 142.377846 \nL 78.204141 142.539127 \nL 77.848268 142.507794 \nL 77.600333 142.273206 \nL 77.603558 142.022692 \nL 77.811819 141.865293 \nL 78.155401 141.896426 \nL 78.391617 142.121727 \nL 78.388809 142.359869 \nL 78.192855 142.510862 \nL 77.865042 142.48524 \nL 77.633786 142.271011 \nL 77.650078 142.01116 \nL 77.859915 141.883625 \nL 78.175683 141.935752 \nL 78.371728 142.15576 \nL 78.324989 142.396181 \nL 78.071598 142.501681 \nL 77.749917 142.382177 \nL 77.638436 142.143604 \nL 77.769536 141.943896 \nL 78.051613 141.914014 \nL 78.314449 142.096696 \nL 78.333798 142.328807 \nL 78.139294 142.469535 \nL 77.829373 142.412128 \nL 77.667935 142.179814 \nL 77.759264 141.981892 \nL 78.009232 141.928686 \nL 78.270369 142.0756 \nL 78.309253 142.315424 \nL 78.13227 142.447246 \nL 77.846351 142.397134 \nL 77.694632 142.184204 \nL 77.775785 142.00065 \nL 78.036617 141.954723 \nL 78.277694 142.130085 \nL 78.26089 142.345602 \nL 78.037249 142.434859 \nL 77.77255 142.307104 \nL 77.731877 142.093618 \nL 77.914311 141.96838 \nL 78.187469 142.048962 \nL 78.27264 142.270896 \nL 78.118979 142.407828 \nL 77.852203 142.355091 \nL 77.741363 142.146492 \nL 77.868717 141.998992 \nL 78.127016 142.02802 \nL 78.2569 142.220672 \nL 78.157215 142.374091 \nL 77.911706 142.369692 \nL 77.761006 142.173279 \nL 77.876726 142.0154 \nL 78.114685 142.039674 \nL 78.236329 142.235888 \nL 78.106748 142.374441 \nL 77.860776 142.320294 \nL 77.788635 142.122023 \nL 77.947851 142.01631 \nL 78.172655 142.105833 \nL 78.194311 142.296778 \nL 78.016332 142.367353 \nL 77.81108 142.233735 \nL 77.858289 142.061886 \nL 78.074275 142.051417 \nL 78.201538 142.225809 \nL 78.076983 142.350729 \nL 77.857449 142.278084 \nL 77.843497 142.095568 \nL 78.02901 142.049374 \nL 78.185868 142.206147 \nL 78.090277 142.333773 \nL 77.883001 142.285568 \nL 77.854949 142.104778 \nL 78.042456 142.065208 \nL 78.171835 142.217845 \nL 78.05347 142.329256 \nL 77.862718 142.243472 \nL 77.897842 142.08606 \nL 78.096599 142.104389 \nL 78.137041 142.273931 \nL 77.957877 142.306538 \nL 77.85867 142.1537 \nL 78.002876 142.077396 \nL 78.14654 142.211594 \nL 78.035153 142.310023 \nL 77.870041 142.204458 \nL 77.946633 142.089554 \nL 77.959775 142.086987 \nL 78.128499 142.17534 \nL 78.071725 142.293311 \nL 78.059763 142.296973 \nL 77.88954 142.226375 \nL 77.92741 142.106411 \nL 77.949704 142.098234 \nL 78.118218 142.175687 \nL 78.067668 142.285174 \nL 78.045217 142.291141 \nL 77.890883 142.20548 \nL 77.952644 142.106212 \nL 77.975146 142.102378 \nL 78.115429 142.204684 \nL 78.021083 142.285303 \nL 78.0097 142.284781 \nL 77.896876 142.178344 \nL 77.900573 142.160936 \nL 78.030404 142.116721 \nL 78.103138 142.228304 \nL 78.083794 142.256508 \nL 77.927387 142.238023 \nL 77.926752 142.137281 \nL 77.967464 142.118045 \nL 78.097368 142.193255 \nL 78.09856 142.209393 \nL 78.001422 142.270414 \nL 77.982285 142.265846 \nL 77.915596 142.167856 \nL 77.938315 142.137488 \nL 78.080862 142.170495 \nL 78.060611 142.255154 \nL 78.011597 142.265585 \nL 77.920707 142.177598 \nL 77.93712 142.147254 \nL 78.069871 142.165301 \nL 78.074335 142.171674 \nL 78.056911 142.250047 \nL 77.995516 142.257967 \nL 77.928454 142.173487 \nL 77.965592 142.137468 \nL 78.076513 142.191467 \nL 78.074272 142.222143 \nL 77.975228 142.245834 \nL 77.951027 142.228635 \nL 77.946127 142.155541 \nL 78.024282 142.144191 \nL 78.069002 142.219439 \nL 77.941173 142.172874 \nL 78.003811 142.195527 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p6c7363f20c\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -712,18 +723,78 @@
     "scipy.io.savemat(\"Lorenz63_fit.mat\", {\"x\": results_test_np})"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Mean Squared Error Loss"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs={\"sigma\": 10., \"rho\": 28., \"beta\": 2.7},\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None,\n",
+    ")\n",
+    "\n",
+    "result_train = ode_solver(1000)"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs={\"sigma\": 22.4191, \"rho\": 18.8036, \"beta\": 3.4880},\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None,\n",
+    ")\n",
+    "\n",
+    "result_test = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tensor(198.8555, grad_fn=<MseLossBackward>)"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "loss = torch.nn.MSELoss()\n",
+    "loss(result_train,result_test)"
+   ]
   }
  ],
  "metadata": {
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  },
   "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)",
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -736,9 +807,6 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
   }
  },
  "nbformat": 4,
diff --git a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb
index 1b8cb3d4..3bb42494 100644
--- a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -27,7 +27,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,11 +51,11 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -81,7 +81,6 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
@@ -93,8 +92,9 @@
        "        [-5.7641e+00, -6.2715e+00,  2.2854e+01]], grad_fn=<StackBackward>)"
       ]
      },
+     "execution_count": 5,
      "metadata": {},
-     "execution_count": 5
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -107,29 +107,34 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stderr",
+     "output_type": "stream",
      "text": [
-      "<ipython-input-6-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+      "<ipython-input-6-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n",
+      "  ax = fig.gca(projection='3d')\n"
      ]
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAh8AAAGeCAYAAAA0WWMxAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAABXrElEQVR4nO3dd3hUdf728fekTXpCEkghHRKQ3qtUAUVkLVhZFV0LdhH35+q6u+quwqr7sOhiL6hr77pWsFCkSZVe00NCSO9t5jx/BEYBEQKTnEnmfl3XXJozw5kPw0nOnW+1GIZhICIiItJKPMwuQERERNyLwoeIiIi0KoUPERERaVUKHyIiItKqFD5ERESkVSl8iIiISKtS+BAREZFWpfAhIiIirUrhQ0RERFqVl9kFHM1ut7N//36CgoKwWCxmlyMiIiInwTAMKioqiImJwcPjBG0bRjM88MADBnDEIzIy0vG83W43HnjgASM6Otrw9fU1xowZY2zdurU5b2FkZ2cf8x566KGHHnrooUfbeGRnZ5/wXt/slo+ePXvyzTffOL729PR0/P9jjz3GvHnzeOWVV0hNTeXhhx9m4sSJ7Nq1i6CgoJM6/+HXZWdnExwc3NzyRERExATl5eXExcWd1P2+2eHDy8uLqKioY44bhsH8+fO5//77ueiiiwB49dVXiYyM5M0332TmzJkndf7DXS3BwcEKHyIiIm3MyQyZaPaA0z179hATE0NSUhKXX345aWlpAKSnp5Ofn8+kSZMcr7VarYwZM4aVK1ce93x1dXWUl5cf8RAREZH2q1nhY+jQobz22mt8/fXXvPDCC+Tn5zNixAiKiorIz88HIDIy8og/ExkZ6Xju18ydO5eQkBDHIy4u7hT+GiIiItJWNCt8TJ48mWnTptG7d28mTJjA559/DjR1rxx2dHOLYRi/2QRz3333UVZW5nhkZ2c3pyQRERFpY05rnY+AgAB69+7Nnj17HONAjm7lKCgoOKY15JesVqtjfIfGeYiIiLR/pxU+6urq2LFjB9HR0SQlJREVFcXixYsdz9fX17N06VJGjBhx2oWKiIhI+9Cs2S5//OMfmTp1KvHx8RQUFPDwww9TXl7OjBkzsFgszJo1izlz5pCSkkJKSgpz5szB39+f6dOnt1T9IiIi0sY0K3zk5ORwxRVXUFhYSMeOHRk2bBirV68mISEBgHvuuYeamhpuueUWSkpKGDp0KIsWLTrpNT5ERESk/bMYhmGYXcQvlZeXExISQllZmcZ/iIiItBHNuX9rYzkRERFpVQofIiIi0qoUPkRERKRVKXyIiIhIq2r2xnIiIiJyYoZhkFNSw6q0IvYdrASjac/5w881/fcXr3c8d/jrn5/sER3M+f064+PVPtoMFD5EREScwDAMMouqWZNexOq0YtakFbG/rNZp55+3eDczRydz+ZB4fL09nXZeM2iqrYiIyCkwDIO0wirWpBUfChxFHCivO+I1Xh4W+saF0rtziKPVwrHbmeXwf37e/8xiOeIpLBaob7Tz6U/7HeeOCPTh+lHJXDksgUCr67QhNOf+rfAhIiJyEgzDYN/BSlYdatVYk17MwYojw4a3p4V+caEMSw5naFI4AxJC8fc5/YBQ22Dj/fU5PLt0HzklNQCE+HlzzYhErh2ZSKi/z2m/x+lS+BARETlNdrvBnoJKR6vGj+nFFFbWH/EaHy8P+seFMjQ5nGHJYQyI79CiXSINNjufbNrP00v2knawCoAAH0+uHJ7A9Wcm0zHI2mLvfSIKHyIiIqfAMAzWZpTw7rpsvttZQHHVkWHD6uXBwIQODE0KZ2hyGP3iQk0Zf2GzG3y5NY8F3+1lZ36Fo7YrhsRz4+hkYkL9Wr0mhQ8REZFmyC+r5YMNOby/Pof0wirHcT9vz0NhI4xhXcLpExuC1ct1BnsahsF3Owv4z3d72ZRdCjS1xrx+3VCGJIW1ai0KHyIiIidQ32jn2x0HeHddNkt3H8R+6G4Y4OPJlD7RXDQglgHxHdrE9FbDMFi5r4jHv97FpuxSUiMD+fyOUXh7tl7tzbl/u84wWRERkVawM7+cd9fm8PGm3CO6VYYkhnHJoFjO7R1NgAvNIjkZFouFkV0j6BkTzLh/LWH3gUpeX53JtSOTzC7tV7WtT1dEROQUlNU08OlP+3lvXTabc8ocxyODrUwbEMvFA2NJ7hhoYoXOEervwx/P7sb9H21l3uLdTO0bQ0SgeYNQj0fhQ0RE2iW7vakr4t112Xy9LZ+6RjvQNB12whmRXDoojlEpEXi1YtdEa7h8cDxv/ZjF1txyHv9qF49e3Mfsko6h8CEiIu1KdnE1769vGjyaW1rjON49KohLBsVxQb8Ywl2wNcBZPD0sPPS7nkx7ZhXvrs9m+tB4+saFml3WERQ+RESkzattsPH1tnzeXZfNir1FjuNBvl6c3y+GSwfF0btzCBaL5TfO0n4MTAjjov6d+XBjLg98uo0Pbx6Bh4fr/N0VPkREpM3aW1DBKysz+GTTfipqGx3Hz+wawSWDYjm7Z1Sb3wflVN07uTtfb8tnU3YpH27M5eKBsWaX5KDwISIibcrhhcCeX7aPb3YUOI53DvXjkkGxTBsQS1yYv4kVuoZOwb7ccVYKc7/cyT+/3MmknpEE+3qbXRag8CEiIm2EzW6waFs+zy1LcyyoZbHAxDMiuXp4IiO6hLtU14IruHZkEu+szSatsIonv9nDX87rYXZJgMKHiIi4uNoGG++tz+Gl5WlkFFUDTat4ThsQy/WjkujSDqbIthQfLw/+NrUH1yxcyysrM7h8SBxdOwWZXZbCh4iIuKbiqnr+uyqTV1dlOBYDC/Hz5qphCcwYkWjqJmptydhunZhwRiTf7DjAQ//bzn+vG2p2SQofIiLiWrKKqnnxhzTeXZdNbUPT2hyxHfy47swkLh0U1+ZWH3UFfzuvB0t2FbB8TyE5JdXEdjB3TIz+BUVExCX8lF3K88vS+HJrnmOflV6dg7lxdBfO7RXV7hYDa03x4f507uBHZlE1+0trFT5ERMR92e0GS3YX8NzSNNakFzuOj0ntyMzRyQzvEu42a3O0tKhgXzKLqskvrzW7FIUPERFpffWNdj7ZlMsLy9PYfaASAC8PC7/rF8ONo5PpHqVdzZ0tKsQXgPyymhO8suUpfIiISKspr23gzTVZLFyRzoHyOgACrV5MHxrPtSMTiQ7xM7nC9uvn8FFnciUKHyIi0gryymp4+Yd03voxm8q6ppVII4Ot/GFkElcMjXeZxa/as6jgQ+GjXC0fIiLSjmUWVfHU93v5cEMujYdGkaZGBnLDqGTO79cZHy8NIm0t0YdaPvLKNOZDRETaoYzCKv7z3V4+3pSL7VDoGJYcxszRXRjbraMGkZog6lCX1gGFDxERaU/SDlay4FDoODxddmy3jtxxVgoD4juYW5ybO9ztcqCiDpvdwNPEpegVPkRE5LTtLahkwXd7+PSn/Y7QMb57J+44K4V+caGm1iZNOgZZ8fSwYLMbFFXW0elQGDGDwoeIiJyyvQUV/Oe7vXz6036MQ6FjwhlNoaNPbKiptcmRPD0sdAy0kl9eS15ZrcKHiIi0LXsOVPDkd3v5bPPPoWNij0juPCuFXp1DzC1OjisqxJf88lryy2vpa2IdCh8iInLSduVX8OR3e/hiS54jdJzdM5I7zkqhZ4xCh6tzTLc1edCpwoeIiJzQzvxynvx2D19syXccm9writvHp9AjRquRthWOhcZMXmJd4UNERI5r+/6m0PHVtp9Dx7m9m0LHGdEKHW1NdIhaPkRExEVtzS3jyW/3sGj7AQAsFji3dzR3jE+hW1SQydXJqYpS+BAREVezJaeMJ77dwzc7fg4d5/WJ4Y7xXUmJVOho635eYl3hQ0RETLY5p5QnvtnDtzsLAPCwwNS+Mdw+vitdOyl0tBcRQVYADlaYu7mcwoeIiBvbmlvGvxfvPiJ0nN+vM7eN70qXjoEmVyfOVngodIQF+Jhah8KHiIgb2plfzr8X7+brbU3dKx4WuKB/Z24b15VkhY52K7ukaUfb+DB/U+tQ+BARcSP7DlYy/5s9jsXBLBY4v28Md05IJSkiwOzypIVlFVcDEKfwISIiLS2zqIonvt3Dxxt/3vBtSu9oZk1I0UBSN5LtCB9+ptah8CEi0o7llFSz4Lu9vLc+x7G1/YQzIrlrolYkdUeHw4e6XURExOnyy2p56vu9vL02iwZbU+gYk9qR2RNT6atdZt1WlsKHiIg4W2FlHc8s2cd/V2dS32gHYESXcO6elMrAhDCTqxMz1TbYKDg02yWug8KHiIicppKqep5blsarKzOoabABMDixA7MndmN4l3CTqxNXkFPS1OoRZPUi1N/b1FoUPkRE2rCymgZeWp7GyysyqKxrBKBvXCh3T0xlVEoEFovF5ArFVfxypovZ14XCh4hIG1RZ18jCH9J5YXka5bVNoaNnTDCzJ6Yyvnsn028u4nqyi5vW+DB7pgsofIiItCnV9Y28tiqT55buo6S6AYDUyEBmT0xlUo8oPDwUOuTXucpgU1D4EBFpE2obbLyxJotnluyjsLJp0GByRAB3TkjhvD4xeCp0yAkofIiIyEmpb7Tzzrpsnvpur2Mn0vgwf+44K4UL+sXg5elhcoXSVhxe4yNW4UNERH5Ng83OhxtyePLbveSWNvXVx4T4cvtZKVw8MBZvhQ5pBsMwXGaBMVD4EBFxKTa7wSebcnni2z1kFjXdLDoFWbltfFcuGxyH1cvT5AqlLSquqqeq3obFAp1DNeBUREQAu93g8y15zP9mN/sOVgEQHuDDzWO7cOWwBHy9FTrk1B3ezTYyyNclriWFDxERExmGwdfbDjD/m93szK8AINTfmxtHJzNjeCIBVv2YltPnSoNNQeFDRMQUhmHw/a4C5i3ezdbccqBp5cnrRyXzhzMTCfI1dwVKaV+yf7HAmCtQ+BARaUWGYfDD3kLmLd7NxqxSAAJ8PLl2ZBI3jEomxORlr6V9+jl8mD/eA+C0hkvPnTsXi8XCrFmzHMcMw+DBBx8kJiYGPz8/xo4dy7Zt2063ThGRNm9NWhGXPb+aq176kY1Zpfh6ezBzdDLL/zSeP57dTcFDWky76XZZu3Ytzz//PH369Dni+GOPPca8efN45ZVXSE1N5eGHH2bixIns2rWLoKCg0y5YRKSt2ZBVwrxFu/lhbyEAPl4e/H5oPDeP7UKnIF+TqxN30C7CR2VlJb///e954YUXePjhhx3HDcNg/vz53H///Vx00UUAvPrqq0RGRvLmm28yc+ZM51QtItIGbMkpY97iXXy/6yAA3p4WLhscx63juhId4hrN39L+1TbYyCtrWqDOVcZ8nFK3y6233sqUKVOYMGHCEcfT09PJz89n0qRJjmNWq5UxY8awcuXKXz1XXV0d5eXlRzxERNqynfnl3PjaOqYu+IHvdx3E08PCpYNi+e7usTx8QW8FD2lVq9OKsNkNokN86RRkNbsc4BRaPt5++202bNjA2rVrj3kuPz8fgMjIyCOOR0ZGkpmZ+avnmzt3Lg899FBzyxARcTl7CyqZ/81uPt+Sh2GAxQIX9OvMnWelkBgRYHZ54qaW7W7q7huT2tFldjtuVvjIzs7mzjvvZNGiRfj6Hr+f8ui/nGEYx/0L33fffcyePdvxdXl5OXFxcc0pS0TEVBmFVTz57R4+3pSL3Wg6NqVPNHdNSKFrJ411E3Mt3V0AwOjUjiZX8rNmhY/169dTUFDAwIEDHcdsNhvLli1jwYIF7Nq1C2hqAYmOjna8pqCg4JjWkMOsVitWq2s0A4mINEdOSTX/+XYv72/IwXYodUzqEcldE1M5IzrY5OpEmq7RfQer8PSwMLJrhNnlODQrfJx11lls2bLliGPXXnst3bt3509/+hPJyclERUWxePFi+vfvD0B9fT1Lly7l0UcfdV7VIiImyi+rZcH3e3hnbTYNtqbQMa5bR2ZP7Ebv2BCTqxP52eEul/5xoYT4uc5U7maFj6CgIHr16nXEsYCAAMLDwx3HZ82axZw5c0hJSSElJYU5c+bg7+/P9OnTnVe1iIgJCipqeWbJPt5Yk0V9ox2AM7tGcNfEVAYmdDC5OpFjuWKXC7TACqf33HMPNTU13HLLLZSUlDB06FAWLVqkNT5EpM0qrqrnuaX7eHVVBrUNTaFjSGIYsyelMiw53OTqRH5dg83Oir1FQNNgU1diMQzDMLuIXyovLyckJISysjKCg9VnKiLmKatu4IXlaSxckU5VvQ2AfnGh3D0plTO7RrjMzAGRX/NjejGXPreKsAAf1t0/AQ+Plr1em3P/1t4uIiJHqahtYOGKDF5YnkZFbSMAPWOCuXtSKuO6dVLokDbhcJfLqJSIFg8ezaXwISJySHV9I6+uzOS5ZfsorW4AoFtkEHdNTOXsnpEKHdKmLN3dtLLu6BTX6nIBhQ8REWobbLy+OpNnl+6jsLIegOSOAcyakMp5vaNd7rdGkRMprKxja27TiuGjUl1niu1hCh8i4rbqGm28szabp77fy4HyOqBp4607z0rh/H4xeHme1sbfIqZZvqep1aNnTLBLbl6o8CEibqfBZuf99Tks+G4vuaU1AHQO9eP28V2ZNjAWb4UOaeOWHtrM0NWm2B6m8CEibqPRZueTTft54ts9ji3GI4Ot3DauK5cOjsPq5WlyhSKnz243WLbn5/1cXJHCh4i0e402O5/+tJ//fLeX9MIqACICfbh5bFd+PzQeX2+FDmk/tu0vp7iqnkCrFwPiXXPxO4UPEWm3Drd0LPj+59DRwd+bmWO6cPXwBPx99CNQ2p/DU2xHdAnHx8s1uxD1nSci7U6jzc7Hm/az4Ls9ZBQ1da908PfmxtFduGp4AoFW/eiT9ssxxdZFu1xA4UNE2pHDoeM/3+0h81DoCAvw4YZRyVw9PIEAhQ5p58prG9iQVQq47ngPUPgQkXag0Wbno425LPh+7xGh48bRyVw1TKFD3MfKvYXY7AbJHQOIC/M3u5zj0nekiLRZDYdDx3d7HbNXwgJ8mDk6mSsVOsQNufKqpr+k70wRaXMabHY+2pDLf77fQ3Zx0zod4QE+zBzTFDo0kFTckWEYLNt9aIptN4UPERGnaLDZ+XBDDgu+3+sIHRGBPswc3YXfD4tX6BC3tu9gJbmlNfh4eTAsKdzscn6TvlNFxOU12Ox8sL4pdOSU/Bw6bhrThd8PTcDPR+t0iCw5tKrp0KQwl/+eUPgQEZdV32jngw05PHVE6LBy05hkhQ6Roxwe7+HKs1wOU/gQEZdT12jj/fU5PP39PsfeKwodIsdX22Djx/RiQOFDRKRZauptvL02i+eWppFfXgtAxyArN43pwvQh8QodIsfx/c4C6hrtxIT40rVToNnlnJDCh4iYrrKukTdWZ/LC8jQKK+uBpg3fZo7uwnTtvSJyQu+sywbggv6dsVgsJldzYgofImKaspoGXluZwUsr0imtbgAgtoMfN4/twsUDY7XLrMhJ2F9a4xjvcemgOJOrOTkKHyLS6oqr6lm4Ip1XVmRQUdcIQFJEALeM7cIF/Tvj7emam2GJuKL31+dgGDAsOYzEiACzyzkpCh8i0moKKmp5cXk6r6/OpLreBkBqZCC3juvKeX1i8PRw/eZiEVditxu8s7apy+XywfEmV3PyFD5EpMXtL63h+WVpvPVjFnWNdgB6xgRz+/gUJvWIxEOhQ+SUrNhXSG5pDcG+XpzTK8rsck6awoeItJisomqeWbqP99dn02AzAOgfH8od41MY261jmxgYJ+LKDrd6XNC/c5samK3wISJOt+9gJU9/v4+PN+ViszeFjmHJYdw+PoURXcIVOkScoLiqnkXbDgBw2eC2MdD0MIUPEXGanfnlLPhuL59vycNoyhyMTu3I7eO7MjgxzNziRNqZjzbmUm+z06tzMD1jQswup1kUPkTktK3PLOGZJXv5ZkeB49iEMyK5bXxX+sWFmleYSDtlGAbvHupyuawNDTQ9TOFDRE6JYRgs31PI00v2sjqtaVlniwXO7RXNreO60iMm2OQKRdqvTdml7DpQga+3B7/rG2N2Oc2m8CEizWKzG3y9LZ9nluxjS24ZAN6eFi7s35mZY7rQpaPrL+0s0tYdHmh6bq9oQvy8Ta6m+RQ+ROSk1Dfa+XhTLs8u3UfawSoA/Lw9uWJIPNePSiIm1M/kCkXcQ1VdI//7aT/Q9gaaHqbwISK/qbq+kbd/zOaF5WnklTVt9hbs68U1IxK5ZmQSYQE+Jlco4l4+35xHVb2NpIgAhiS1zYHcCh8i8qvKqht4dVUGC1ekU3Jo35VOQVauH5XE9KEJBFr140PEDG+vzQKa9nFpq9PW9dNDRI5QUF7Liz+k88bqTKoOLYGeEO7PzNFduGhA21rISKS92XOggg1ZpXh6WJg2sLPZ5ZwyhQ8RASCzqIrnlqXx/roc6m1NS6B3jwrilnFdObdXFF7a7E3EdIcHmo7v3olOQb4mV3PqFD5E3Ny2/WU8tzSNzzbv59BipAxK6MAt47owrlunNtusK9Le1Dfa+XBjLgCXt9GBpocpfIi4IcMwWLmviGeX7mP5nkLH8bHdOnLL2K5tdhCbSHv2zY4DFFfVExlsZUxqR7PLOS0KHyJupNFm58ut+Ty3bB9bc8sB8PSwMKV3NDPHJLe5JZpF3Mnbh7pcLh4Y2+a7QRU+RNxATb2N99Y3TZfNLq4BwNfbg8sHx3PdmUnEhfmbXKGI/JackmqW7zkINM1yaesUPkTasZKqel5blcmrqzIorqoHICzAhxnDE7lqeILW6BBpI95fn4NhwIgu4SSEB5hdzmlT+BBph7KLq3nph3TeWZtNTUPTdNm4MD9uGJXMJQPj8PPRdFmRtsJmN3hvXQ7Qdlc0PZrCh0g7sjW3jOeXpfH5ljxsh6au9IwJ5qYxXZis6bIibdIPewvJLa0hxM+bs3tGmV2OUyh8iLRxx5u5MiolgpmjuzCya7imy4q0Ye8eGmh6Qb+YdrPIn8KHSBtV32jns837eXF5OtvzmmaueFjgvD4x3Dg6mV6dNXNFpK0rqqxj0fZ8AC4bHG9yNc6j8CHSxpRVN/DGj5m8ujKDA+V1QNPMlcsGxXH9qGTNXBFpRz7amEuDzaBPbAg9YoLNLsdpFD5E2ojMoioWrsjg3XXZVB/ac6VjkJVrRiQyfUg8HTRzRaRdMQzDsZx6e5he+0sKHyIuzDAM1meW8OLydL7eno9xaPnz7lFBXD8qmal9o7F6tY8+YBE50rI9hewpqMTP25Pf9YsxuxynUvgQcUGNNjtfbzvAC8vT2JRd6jg+JrUjN4xK1iBSETfw1Hd7AbhiSDzBvt4mV+NcCh8iLqSyrpF31mazcEU6OSVNK5H6eHpwYf/OXDcqidTIIJMrFJHW8GN6MT9mFOPj6cGNo5PNLsfpFD5EXMD+0hpeWZnBW2uyqKhrBKCDvzdXDUvgquGJdAyymlyhiLSmBd83tXpMGxhLVIivydU4n8LHIbUNNnbklZNfVkteWS1VdY34W70I8PEkyNebpIgAkjsGtJs51uIatuSU8eIPaXy+OY/GQ4uCJXcM4Lozk5g2IFbXm4gb2pxTyrLdB/H0sHDzmC5ml9Mi3Dp8GIbB4u0H+OSn/Xy/s8Axg+B4PCyQEB5Az5hgRnSJYGTXcOLD/NX3Ls1itxt8u7OAF5ensSa92HF8eHI4149KYly3Tnh46JoScVdPHWr1+F3fGOLD2+fUebcNH9nF1fz5oy1HrAgZEehDfJg/4YFWymoa2FdQSUVdI/WNdgDsBqQXVpFeWMVnm/MA6Bzqx/junZjaN4ZBCR1005Djqqm38cGGHF7+IZ20wioAvDwsnNcnmutHaVEwEYHdByr4etsBAG4Z2z5bPcBNw8fW3DIuf341lXWNWL08uHp4AoMSw8gorOJ/m/fz7Y4DHGoBP6Hc0hr+uzqT/67OJCrYl3N7R3PRgM66kYhDQUUt/12VyeurMympbgAgyNeL6UPjuWZEItEhfiZXKCKu4ulDrR7n9IwipR0PMHe78HGgvJbrX11HZV0j/eND+dclffl2xwFuf3Mj9Ta743V+3p6E+nuTV1Z70ufOL6/l5RXpvLwinb5xoVw5NJ7z+sRoB1E3tSu/gheXp/HJpv2OaysuzI8/jEzi0kFxBFjd7ttPRH5DZlEVn/60H4Bbx3U1uZqW5XY//R78dBv55bV06RjAi1cPYtY7mxxdL/3iQhnRJZzskhq25paRfqhp/FT8lF3KT9ml/OOz7Vw2OI7rzkxulyOW5Uh2u8GyPQd56Yf0I7r0BsSHcsOoZCb1jMJTXXMi8iueXboPu9G0nk/v2Pbdeu5W4SOnpJqvtzVt0LNg+gDmLd7N8j2F+Pt4cv+UM0g/WMVzy9IcW5E7Q3ltIy8sT+eVlRlMGxDLzDFdSIoIcNr5xTVU1zfywYZcFq5IJ+1gU2j1sMA5vaK47sxkBiZ0MLlCEXFleWU1vL8+B4DbxrfvVg9ws/Dx9o/Z2A04s2sEByvqeGNNFhYL/OuSvrz1Y5bjN9VBCR2wGwZZxTUUVtY55b0bbAZvr83mnXXZnNs7mrsmpNC1U/vtz3MXOSXVvLYqk7d/zKK8tml9jkCrF5cOiuPakYna5E1ETsrzy9JosBkMSQpjcGKY2eW0OLcKHz/llAIwpU80r63KAODqYQmszShm+Z5C/Lw9+cOZiXy5Jd8xG8HZDAM+35zHl1vyuHhgLHdOSKVzqAYctiWGYbAus4SXf0jn6235jsHJieH+XDMikYsHxRGo8RwicpIKK+t468csAG5r52M9DvNozoufeeYZ+vTpQ3BwMMHBwQwfPpwvv/zS8bxhGDz44IPExMTg5+fH2LFj2bZtm9OLPlWHm8ND/bz5bmcBAP3jO/DKygwA7p6UyhtrskgrrCLEz5vYDi0XCuwGvLsuh3GPL+Efn22npKq+xd5LnKOu0cYH63OYuuAHLnl2FV9uzXe0pL00YxDf3T2Wa0YmKXiISLO8/EM6tQ12+sSGMColwuxyWkWzfkrGxsbyz3/+k65dm5LZq6++yvnnn8/GjRvp2bMnjz32GPPmzeOVV14hNTWVhx9+mIkTJ7Jr1y6CgsztYrDZDXJLm/bKqK63YTegS8cA1mYUYxgwpXc0b/2YRWl1AymdArF6e7A1t7zF66q32Xnph3Q+2JDD3RNTuWJIPF6ezcqE0sKauugyeX11lqMbzurlwUUDOnPNiCS6Ran7TEROTVlNA/9dlQk0zXBxl0UrmxU+pk6desTXjzzyCM888wyrV6+mR48ezJ8/n/vvv5+LLroIaAonkZGRvPnmm8ycOdN5VZ8CD0vT4/BCYQCJ4QEs2t60mIuvtyf7DlYR6u9NkK8XG7JK8fSwOHXw6W8prW7gr59s4401WTwwtSfDu4S3yvvK8W3NLePlFel89lOeY6psVLAvVw1P4Ioh8YQF+JhcoYi0da+tzKCirpHUyEAmnhFpdjmt5pTbh202G++99x5VVVUMHz6c9PR08vPzmTRpkuM1VquVMWPGsHLlyuOGj7q6Ourqfh7UWV7eMq0NFosFfx8vKusayS6pBsDL08LBijosFhzH4jr4O4JHgI+nYxBha9mZX8EVL6xmat8YHpjag4hAbSjWmhptdhZvP8DCFRn8mPHz0uf940O5dmQSk3tF4a2WKRFxgqq6Rl5ekQ40tXq40wrZzQ4fW7ZsYfjw4dTW1hIYGMhHH31Ejx49WLlyJQCRkUcmt8jISDIzM497vrlz5/LQQw81t4xTEmhtCh91DU2/xR7uhgnx82ZHXlPoyS9vWlTM08PS6sHjl/73036W7T7I/VPO4JKBsW7TFGeWspoG3lmbxasrMx3XhZeHhSl9orl2ZBL94kLNLVBE2p23fsyipLqBhHB/pvSONrucVtXs8NGtWzc2bdpEaWkpH3zwATNmzGDp0qWO54++SRqG8Zs3zvvuu4/Zs2c7vi4vLycuLq65ZZ2Urp0CyS+vdbRy5B9avbS63ubYv6XoUJ/+4a/NVFbTwD3vb+bjjbnMvag3CeFaH8TZ9h2s5JUVGXywIcexsWAHf29+PzSBK4claGE4EWkRtQ02nl+WBsDNY7q43Vi/ZocPHx8fx4DTQYMGsXbtWp544gn+9Kc/AZCfn0909M8JrqCg4JjWkF+yWq1Yra3TtdCrcwg/7C3kQHlTwKg41LLxy6DRSkM8mmXlviLOmb+c+6ecwe+HxqsV5DQZhsGyPYUsXJHOkl0HHce7RwVx7chEzu/XWVvZi0iLen99DgUVdUSH+HLRgFizy2l1pz0n0DAM6urqSEpKIioqisWLF9O/f38A6uvrWbp0KY8++uhpF+oMvToHA2A3mhJGnQu0bpysmgYbf/l4K9/sOMBj0/rQKVi/kTdXdX0jHx5ahXTfoWnXFguc1T2SP4xMZHiXcAU7EWlxDTY7zy7dB8CNo5Px8XKvVg9oZvj485//zOTJk4mLi6OiooK3336bJUuW8NVXX2GxWJg1axZz5swhJSWFlJQU5syZg7+/P9OnT2+p+pvl8KpxxW14TY0luw4yaf4y5l7Ym8lu1kd4qnJLa3htZQZvHbUK6SWDYrlmRKK6s0SkVX26aT85JTWEB/hw+eB4s8sxRbPCx4EDB7jqqqvIy8sjJCSEPn368NVXXzFx4kQA7rnnHmpqarjlllsoKSlh6NChLFq0yPQ1Pg6LDPZlQHwoG7JKzS7ltJRWN3DzGxuYMTyBP085A6uXugiOdngV0oUr0vl62wHHlOmEw6uQDowlyNfb5CpFxN3Y7QZPL9kLwHWjktx213OLYRguNcqhvLyckJAQysrKCA4Odvr5X1iWxiNf7HD6ec3Sq3MwT00foN/eD6lrtPH55jwWrshgS26Z4/jIruFcOyKJcd07aVdZETHNF1vyuOWNDQT7erHi3vHt6peg5ty/3W4d6HN6RbWr8LE1t5zznvyBxy/pyzm9oswuxzSFlXW8sTqL/67OPGIV0gv7d+aakYl0j3J+kBURaQ7DMHjq+6ZWj2tGJLar4NFcbhc+4sL8GZUS4djB1vnn92NSjyiiQ3ypt9nJKanh4425jmmcLaGirpGbXl/PnWelcOdZKW61UM3W3DIWrsjgfz/td6xCGhls5erhiVqFVERcypJdB9m2vxx/H0+uHZlkdjmmcrvwAU2JsyXCx/junXjmygHHjMGYc2FvSqvrWbz9AH//33Yq6lpm8bInvt3Djrxy5l3Wr11vbmazGyzefoCXV6TzY/rPq5D2iwvl2pGJnNs7WquQiohLMQyDBYdaPX4/NJ4Obv6LUfu9Q/2Gcd06kRDuT2ZRtVPPe8dZKccd/Bnq78Mlg+K4ZFAcO/PLeeyrXY6ddZ1p0fYDXPjUCl6+ZjBxYf5OP7+ZyqobeGfdsauQnts7mmtHJtI/voPJFYqI/LrVacWszyzBx8uDG0Ylm12O6dwyfHh4WJgxPJG/f7bdqeeNCT25tTe6RwXz8jWDySyq4t4PtrAqrcipdewpqOSiZ1by8ozB9I4Nceq5zbC3oJJXVqbzwfpcahp+XoV0+tB4rhqWqFVIRcSlGYbB/G92A3DpoFit04Sbhg+A6UPjeW7ZPsdqp85QUF5Hp6CTv6gSwgN468ZhbNtfxpQnf3BaHdC0Dfxlz6/iqekDGNe9k1PP3RrsdoOluw/y8or0I7rItAqpiLQ1i7YfYE16MVYvD24e29XsclyC23aM+3p7csdZKU4959pf7ILaHD1jQtg351z+7+xuTq2nut7G9a+t49112U49b0uqrGvk1ZUZTJi3lGtfWcvyPYVYLDCxRyRv3jCUL+8cxWWD4xU8RKRNqG+0M/fQDMsbRiXTOdTP5Ipcg9u2fABcOiiO55elOW3sx6c/7T/lEcyeHhZuHdeVKb2jGfuvJU6pB5oGZ97z/mZq6m3MGJHotPM6W1ZRNa+uyuDdtdmOAblBvl5cNiiOq4cnEh/evsaviIh7eG1VBhlF1XQMsnLT2C5ml+My3Dp8eHt6cPekbtzx1kannG9jVikbs0pOa+BjYkQAux4+h9ve3Mji7QecUhfAA59uo7rexs0udPEbhsGqfUW8vCKDb3ce4PByd8kRAVwzMpFpA2IJaMezdkSkfSuuqueJb/cA8MdJqe16FmJzuf0nMbVPNG+uyWR12ql1mRztsa928eYNQ09rgzKrlycvXD2It3/M4t4PtzilLoBHv9pJXaONWRNSnXbOU1HbYOPjjbm8sjKDnfkVjuOjUzty7chExqR0dKu1SkSkfXrim91U1DZyRnQwFw+MM7scl+L24cNisfDwBb2Z/MQyGmynv9L8qrQiPv1pP+f363za57p8SDxJEQFc9vzq0z7XYfO/2YOvtyc3jWn9FpC8shpeW5XJWz9mUVrdAIC/jyfTBsQyY0QiXTsFtnpNIiItYW9BBa+vyQLgr1PO0LYOR3H78AHQtVMgN4/pwpPf7XXK+R78dBvDksOJdMJ0qqHJ4Xx2+5mc9x/nzYb555c78fP2bJUxIIZhsCGrhJdXZPDV1nzHBm+xHfyYMTyRSwfHEeLnvksMi0j7NOeLndjsBhPOiGRE1wizy3E5brex3PHUNtg4Z/4yMpw0+HRoUhhvXD8ULyettJl2sJLx/2+pU8512L8u6cvFA2Odes7DjrfB27DkMK4ZkcTEHpH6TUBE2qXlew5y1Us/4uVhYdFdo0nu6B6tus25f7vtVNuj+Xp7Mu+yfk67Ia5JL+aBT7fhrGyX3DGQz24/0ynnOuzeDzbzg5OXmT9YUcf8b3Yz8p/fM/vdn9iSW4aPlweXDorliztG8faNwzmnV5SCh4i0S402Ow9/1jS19qrhCW4TPJpL3S6/MCC+A7eN6+oYnXy63liTRUyoH7eOc86iMr06h/D6dUO58qU1Tjlfo93g5tfX897Nw09719ctOWUsXJnOZz/lHbHB21XDErhiSDzhgVZnlCwi4tLeXZfDrgMVhPh5c6eT15JqTxQ+jnL7+K4s3X2QTdmlTjnf41/vwurlwfVOWsv/zJQI/nF+T/76yTannK+irpE/LFzLp7efSUQzA0Kjzc7X2w6wcEU66zJLHMf7x4dy7cgkJveK0gZvIuI2KmobmLd4FwCzJqQQ6u/em8f9FoWPo3h5ejD/sn5MeXI5VfU2p5zz4c93UF1v4/bxXU9rCu5hVw5L4LPNeaxJd8704P1ltdz+5kb+e92QkxqjUlJVz9trs/nvqgz2l9UCTRu8TekTzbUjk+gXF+qUukRE2pKnvt9HYWU9yREBXDkswexyXJoGnB7HV1vzuOn1DU495+WD4/j7+b3w8Tr91oCSqnr6/2OxE6r62czRydx37hnHfX5XfgWvrEzno4251DY0da2EB/jw+6Hx/H5YglNm94iItEXZxdWc9f+WUm+z8+LVg5jQI9Lsklpdc+7favk4jnN6RXPL2C48vWSf08759tps0g5W8eQV/U97J9YOAT48fnEf/u/9zU6qDp5blsbAhA5M6hnlOGa3G3y3s4CFK9NZsffn3Xd7RAdz7chEpvaN0T4rIuL2/vnVTuptdkZ2DeesM9reZp6tTS0fv8FmN7hm4Y9H7KrqDGEBPjw2rc9pJ2Ob3WDII99QVFXvpMqaavt61mh8vT14d10Or63KcOx942GBST2iuHZkIkOSwpzShSQi0tatyyjm4mdXYbHA57ePokeMufcuszTn/q3wcQIlVfWc/9QKsoqds/7HL13YvzN/Pa8HYQGnPijps837ue1N5+xN80sBPp6OMS/Bvl5cMSSeK4clEBemDd5ERA6z2w0ufGYlP2WXcvngOP45rY/ZJZlG3S5O1CHAh4XXDmbaMysdS4I7y0cbc/l2xwHunJDKVcMSTmksyKQeUSd+0SmoqrfRtVMg14xI5KIBnfH30aUiInK0T3/az0/ZpQT4eDJ7krn7ZrUlmgd5Erp0DOSlGYOwOmGg6NHKaxv5x2fbGfevJby+OpPahubNsPHx8mBSCw1sev+m4Vw5LEHBQ0TkV9TU23j0q50A3DKuK52CNOj+ZCl8nKSBCWE8cXk/nD3MITHcn4hAH3JLa/jLx1sZPvdb5n65g90HKk78hw9pqQ3Z/t+i3S1yXhGR9uDF5WnkldXSOdSP685MMrucNkXhoxnO6RXNQ7/r6dRzZhRVU1hZz6QekXQO9aOkuoHnlqYx6d/LOGf+Mh79aicr9xZSVdd43HN4tdBS5a+vyWxWCBIRcRcHymt5ZmnTbMg/Te6uWX/NpPb0Zrp6eCK1DTbmfLHTqeddtP0AQ5PCmD40no1ZJSzdfZCd+RXszK/gmSX7sFiaun+SIgKI7eBHRKCVAB9PvL08nLYb79EMA+Z/s5unfz+wRc4vItJW/evrXVTX2+gfH8rUPtFml9PmKHycghtHd6G+0c6/nNwtsSa9mDXpxQyID+Wxi/tgs8OKvYWs2ldEfnktewsq2VtQ6dT3PB4PC9gN+GJLPtv2l9EzJqRV3ldExNVtzS3j/Q05APz1vB5aduAUKHycotvGp1DfaG+RVocNWaVsyCoF4JoRiTx8QS9iQv04UFFLTnE1OSU17D5Qwfe7Djr9vQ+zGxAV7Et+eS0vLk/n35f1a7H3EhFpKwzD4OHPt2MY8Lu+MQyI72B2SW2SwsdpuGtiKl6eHsxb3HIDM19ZmcErKzMcX0cE+tBgMyirce6031/j59PUh/n55jzun3JGszeeExFpbxZtP8DqtGKsXh78aXJ3s8tpszTg9DRYLBbuOCuFv5/v3EGov6Wwsr7Fg0egtSmTFpTX0j0qiHqbnffW5bToe4qIuLr6Rjtzv9gBwPWjkugc6mdyRW2XwocTXD08kScu79dis05aW6PdTkSgD1X1NuIPrWj6+Zb9JlclImKu11ZlkFFUTccgKzeP7Wp2OW2awoeTnN+vMy9cPQh/n7Y73crDAkG+XtQ22B2JPsDqhYcFtuaWk1Pi/CXmRUTagpKqep78dg8Af5yU6mghllOj8OFE47p34v2bRhBzmjvWtrbD30SHB5kCjvEdWcXVDEoMA2BJCw5wFRFxZY98sYPy2ka6RwVx8cA4s8tp8xQ+nKxHTDAf3zaSvnGhZpdyQsG+TaEjLMDH0WUUHujjOAawI6+coUlN4WNTdmnrFykiYrJluw/y/vocLBZ45MJeeLaTLnYzKXy0gE5Bvrxz4zDO7xdjdinH8PSwOLqGIg+1ckQGW2m0G0cciwhqavmoPrTBHMBPCh8i4maq6hq578MtAMwYnsjAhDCTK2ofFD5aiK+3J/Mv68c/LuiFj6frfMxRwb5U19vw9fZwTKWNOTS+w9/HE79DSwT7eXsScOj5ED9vALJLqjEMw4SqRUTM8fjXu8gtrSG2gx//d3Y3s8tpN1znrtgOWSwWrhqWwPs3Dye2g/lTsqJDfCmsrANgbGonNueUYbFAB/+mLpZ+caHsL6sFmlpDDjvcGlLbYKfiN/aYERFpT9ZlFPPqqgwA5l7UmwANMnUahY9W0Cc2lM9vH8W5vaNMqyHQ6sXBijrqGu0MTOhAWmHTMu1TekezLrMYgLHdOrIzrxyA+LAA6hrtAIT6eztabypqFT5EpP2rbbDxpw82YxhwycBYRqV0NLukdkXho5WE+Hvz1PQBPHF5P0c3RmuqrGuk0W4wKKEDdY02dh+oJDzAh35xoWzNLcfHy4MzooMpqKjD38eT8EAfGu0GPl4edAy0Um9rCiKu1IUkItJS/vPdHvYdrKJjkJW/TOlhdjntju4krchisXB+v84sums0Y7u1booO8vWiX1woGUXVbM0tJ9DqxexJqfzn0N40t47tykcbcgEY160TOw61gHTtGEh1g81xnra8jomIyMnYtr+MZ5emAfCP83sR4t/6vzC2dwofJogM9mXhNYN54vJ+dAxq+f1SfLw8sNsNNmWXUlhZR1JEALMmpPDvxbspq2mgX1wog5M68PGmpvBx05gufLklH2jqijm8k25ksFV9niLSrjXa7Nzz/mZsdoNze0dxTi/zusvbM91JTHK4FWRc9078e/FuXl2Zgb2FJpLUN9qppyk8nNm1I7WNNh75YgeGAWdEB/PwBb244bV12A24sH9nAqyeLN5xAIDz+sSwcl8hAKmRQS1ToIiIi3h+eRrb9pcT4ufNg79rvX273I3Ch8mCfb15YGpPLhkYxz+/2smy3c5dRdTH04PwQB/HOJMPNvy8Qdylg2I5v19nbnhtHXlltSRHBPDQ+T25462N2OwG47t3okdMMH/7ZCsAZ3Xv5NTaRERcyb6Dlcz/pmkJ9b+d14NOQW1rteq2ROHDRfSICea1Pwxh5b5CHvtql9NWE6232ckrqyXv0BRaTw8L47p15IL+nVm1r4irXlqD3YCunQJ54/qhvLg8nSW7DuLj5cGfzulOYWUd67NKADinV7RTahIRcTV2u8G9H2ymvtHO6NSOXDSgs9kltWsKHy5mRJcIProlnG93FPDs0n2syyw5pfN4e1rw8/YkItCKv9WTqGBf/H28iArxZVNWKXe8tdHRzXPRgM78ZUoPnl26j+eXNQ2y+vvvetItqqmb5dvZY1iXWUJUG9uzRkTkZL2xJpO1GSX4+3gy58JeWCxaQr0lKXy4IIvFwoQekUzoEcn6zBKeX7aPRdsP0JzFRRtsBg22RirrGrEbTbvSHm10akduGdsFb08Prn55jeM1907uzuVD4h2vS+4YSHLHwNP+e4mIuKKckmr++eVOAP50TndiO/ibXFH7p/Dh4gYmdOC5qwaxv7SGD9bn8N76HLKKf31re19vD4J9vSmtaaD+0AJhh1s3PD0sJIb7kxoZxLDkcM6IDmbXgQr+9fUuR+tKsK8X/7igF+f3U3OjiLgHwzC4/6OtVNXbGJTQgauGJZhdkluwGC62WUd5eTkhISGUlZURHBxsdjkux243WJdZwqJt+SzecYDMomODSAd/b6JD/Ai0euHr40mnICueFgvVDTYOlNeyr6CSoqp6x+t9PD24oH8Mf5zUjU7B6loREffx4YYcZr/7Ez5eHnx55yi6qJX3lDXn/q2WjzbGw8PCkKQwhiSFcf+UM9hbUMnq9GLWZxSzLrOEnJIaSqobKKlu+O3zWJpaVcZ3j2TagM4KHSLidg5W1PH3z7YDcOdZKQoerUjhow2zWCykRAaREhnkaCqsqmsks6iajKIqiirrqKyzUV3fiI+nB/5WL8ICvEnpFERyxwD8ffTPLyLu68FPt1Fa3UDPmGBuHJ1sdjluRXefdibA6kWPmGB6xKjLSkTkeL7ams/nW/Lw9LDw6LQ+eGvfqlalT1tERNxKWXUDfz20eOLM0cn06hxickXuR+FDRETcyiNfbOdgRR3JHQO446wUs8txSwofIiLiNn7YU8i763KwWOCxaX3w9dZO3WZQ+BAREbdQXd/IvR9uBuDqYQkMSgwzuSL3pfAhIiJu4V9f7yanpIbOoX783zndzS7HrSl8iIhIu7c+s4SFK9MBmHNRbwKtmuxpJoUPERFp12obbPzpg80YBkwbEMuY1I5ml+T2FD5ERKRd++eXO9lbUElEoA9/Pe8Ms8sRmhk+5s6dy+DBgwkKCqJTp05ccMEF7Nq164jXGIbBgw8+SExMDH5+fowdO5Zt27Y5tWgREZGT8fW2fF5ZmQHA45f0JdTfx9yCBGhm+Fi6dCm33norq1evZvHixTQ2NjJp0iSqqqocr3nssceYN28eCxYsYO3atURFRTFx4kQqKiqcXryIiMjx5JbWcM/7TbNbbhydzLhunUyuSA47rV1tDx48SKdOnVi6dCmjR4/GMAxiYmKYNWsWf/rTnwCoq6sjMjKSRx99lJkzZ57wnNrVVkRETleDzc7lz69mfWYJfeNCeW/mcHy8NNKgJTXn/n1a/xJlZWUAhIU1zZVOT08nPz+fSZMmOV5jtVoZM2YMK1eu/NVz1NXVUV5efsRDRETkdPx78W7WZ5YQZPXiP5f3V/BwMaf8r2EYBrNnz+bMM8+kV69eAOTn5wMQGRl5xGsjIyMdzx1t7ty5hISEOB5xcXGnWpKIiAjL9xzkmaX7APjntD7Eh/ubXJEc7ZTDx2233cbmzZt56623jnnOYrEc8bVhGMccO+y+++6jrKzM8cjOzj7VkkRExM0VVNRy1zubMAyYPjSeKX2izS5JfsUprbJy++238+mnn7Js2TJiY2Mdx6OiooCmFpDo6J//wQsKCo5pDTnMarVitVpPpQwREREHu91g9js/UVhZT/eoIP52Xg+zS5LjaFbLh2EY3HbbbXz44Yd89913JCUlHfF8UlISUVFRLF682HGsvr6epUuXMmLECOdULCIi8iueWbqPH/YW4uftyYLp/bVpnAtrVsvHrbfeyptvvsknn3xCUFCQYxxHSEgIfn5+WCwWZs2axZw5c0hJSSElJYU5c+bg7+/P9OnTW+QvICIisi6jmHmLdwPw0Pk96dopyOSK5Lc0K3w888wzAIwdO/aI4wsXLuSaa64B4J577qGmpoZbbrmFkpIShg4dyqJFiwgK0oUgIiLOV1pdzx1vbcRmN7igXwyXDIw98R8SU53WOh8tQet8iIjIyTIMg5n/Xc+i7QdIDPfnsztGadM4k7TaOh8iIiJmenVlBou2H8DH04MF0wcoeLQRCh8iItImbc0tY84XOwG479zu9OocYnJFcrIUPkREpM2prGvk9rc2Um+zM7FHJNeMSDS7JGkGhQ8REWlTDMPgrx9vJb2wipgQXx6/uM9xF7IU16TwISIibcr763P4aGMunh4WnryiP6H+PmaXJM2k8CEiIm3G3oIK/vbJNgDumpDCoMQwkyuSU6HwISIibUJtg43b3txITYONkV3DuXlsV7NLklOk8CEiIm3Cw59vZ2d+BRGBPvz7sn54emicR1ul8CEiIi7vyy15vL46C4B5l/ajU5CvyRXJ6VD4EBERl5ZdXM09H2wG4OaxXRid2tHkiuR0KXyIiIjLarDZuf2tjVTUNjIgPpTZE1PNLkmcQOFDRERc1iOf72BTdinBvl48eUV/vD1122oP9K8oIiIu6c01WbyyMgOAxy/pS2wHf3MLEqdR+BAREZezcl8hf/tkKwB3T0zl7J5RJlckzqTwISIiLiWjsIpb3thAo93gd31juG281vNobxQ+RETEZZTXNnD9a+sorW6gb2wIj2nflnZJ4UNERFxCo83ObW9uZG9BJVHBvrxw9SB8vT3NLktagMKHiIi4hEe+2MGy3Qfx9fbgxRmD6BSshcTaK4UPEREx3Vs/ZrFwRQYA/760H706h5hbkLQohQ8RETHVqn1F/PXjppktsyemMrl3tMkVSUtT+BAREdNkFlVx8xvrabQbTO0bw+2a2eIWFD5ERMQU5bUNXPfqzzNbHtfMFreh8CEiIq2u0Wbn9l/MbHleM1vcisKHiIi0ujlf7GTpL2a2RGpmi1tR+BARkVb11o9ZvLwiHYB5mtnilhQ+RESk1fxyZstdE1I5VzNb3JLCh4iItIpfzmw5r080d5ylmS3uSuFDRERa3NEzW/51SV/NbHFjCh8iItKiNLNFjqbwISIiLeqXM1teuFozW0ThQ0REWtDbv5jZ8v8u6UfvWM1sEYUPERFpIavTivjLL2a2TOmjmS3SROFDREScbvv+cm58bZ1mtsivUvgQERGnSi+s4uqX11Be28jAhA48frFmtsiRFD5ERMRp9pfWcOWLayisrKdHdDAvXzMYPx/NbJEjKXyIiIhTFFbWceVLa8gtrSE5IoDXrhtCiJ+32WWJC1L4EBGR01ZW08DVL/1I2sEqYkJ8+e/1Q4kItJpdlrgohQ8RETktNfU2rntlLdvzygkP8OH164fSOdTP7LLEhSl8iIjIKatvtDPz9fWsyywhyNeL164bQnLHQLPLEhen8CEiIqfEZjeY9c5Glu0+iJ+3JwuvGUzPGC0iJiem8CEiIs1mGAb3fbiZL7bk4+1p4bmrBjIoMczssqSNUPgQEZFmMQyDhz/fwbvrcvCwwJOX92d0akezy5I2ROFDRESa5T/f7eWlH5r2a3l0Wh8m99ay6dI8Ch8iInLSFq5IZ97i3QD87bweXDIozuSKpC1S+BARkZPy/vocHvrfdqBpo7g/nJlkckXSVil8iIjICX21NY973v8JgOvOTNJGcXJaFD5EROQ3Ld9zkDve2oTdgEsHxfKXKWdoozg5LQofIiJyXOszS7jxtfXU2+yc2zuKuRf1UfCQ06bwISIiv2r7/nKuXfgjNQ02Rqd25N+X9cPTQ8FDTp/Ch4iIHCPtYCVXv7yG8tpGBiV04NkrB2D18jS7LGknFD5EROQIu/IruOz51RRW1tMjOpiXrhmMv4+X2WVJO6KrSUREHDbnlHL1yz9SWt1A96ggXrtuCCF+3maXJe2MwoeIiACwNqOYaxeupbKukb5xobx67WBC/X3MLkvaIYUPERFh+Z6D3PDaOmob7AxLDuPFGYMJtOoWIS1DV5aIiJv7els+t7+5kXqbnbHdOvLslQPx9dbgUmk5Ch8iIm7s44253P3eT9jsBuf2jmL+Zf3x8dJcBGlZCh8iIm7qjTWZ/OXjrRgGTBsQy6PTeuPlqeAhLU/hQ0TEDT2/bB9zvtgJwNXDE3hwak88tICYtBKFDxERN2IYBv/+Zg9PfrsHgJvHduGes7tpyXRpVc1uX1u2bBlTp04lJiYGi8XCxx9/fMTzhmHw4IMPEhMTg5+fH2PHjmXbtm3OqldERE6RYRg8/PkOR/D4v7O78adzuit4SKtrdvioqqqib9++LFiw4Feff+yxx5g3bx4LFixg7dq1REVFMXHiRCoqKk67WBEROTU2u8GfP9rCSz+kA/Dg1B7cOq6ryVWJu2p2t8vkyZOZPHnyrz5nGAbz58/n/vvv56KLLgLg1VdfJTIykjfffJOZM2eeXrUiItJsDTY7f3zvJz7ZtB8PC/xzWh8uHRRndlnixpw6rDk9PZ38/HwmTZrkOGa1WhkzZgwrV6781T9TV1dHeXn5EQ8REXGO2gYbt7yxgU827cfLw8J/rhig4CGmc2r4yM/PByAyMvKI45GRkY7njjZ37lxCQkIcj7g4fVOIiDhDdX0j17+6jsXbD+Dj5cHzVw9kSp9os8sSaZldbY8evGQYxnEHNN13332UlZU5HtnZ2S1RkoiIWymvbeDql37kh72F+Pt48sq1gxnfPfLEf1CkFTh1qm1UVBTQ1AISHf1zui4oKDimNeQwq9WK1Wp1ZhkiIm4tu7ia619dx64DFQT7evHKH4YwIL6D2WWJODi15SMpKYmoqCgWL17sOFZfX8/SpUsZMWKEM99KRER+xfrMEi58egW7DlTQKcjK2zcOV/AQl9Pslo/Kykr27t3r+Do9PZ1NmzYRFhZGfHw8s2bNYs6cOaSkpJCSksKcOXPw9/dn+vTpTi1cRESO9MmmXP7v/c3UN9rpER3MS9cMIjrEz+yyRI7R7PCxbt06xo0b5/h69uzZAMyYMYNXXnmFe+65h5qaGm655RZKSkoYOnQoixYtIigoyHlVi4iIg2EYzP9mD08cWjxswhmRPHF5PwKsWsRaXJPFMAzD7CJ+qby8nJCQEMrKyggODja7HBERl1bbYOP/3t/M/37aD8DM0cncc053PLVPi7Sy5ty/FYtFRNqogxV13PjfdWzMKsXLw8IjF/bissHxZpclckIKHyIibdDO/HKue2UduaU1hPh588yVAxjRJcLsskROisKHiEgb8/3OAm57cwNV9TaSIgJ4acYgkjsGml2WyElT+BARaSMMw+CVlRn847Pt2A0YlhzGs1cOJNTfx+zSRJpF4UNEpA1osNl58NNtvLEmC4BLB8Xy8AW98fFqkYWqRVqUwoeIiIsrq2ngtjc3sHxPIRYL3De5OzeMSj7uthUirk7hQ0TEhWUWVfGHV9ay72AVft6ezL+8H2f3jDK7LJHTovAhIuKiVqcVcfPr6ympbiAq2JcXZwyiV+cQs8sSOW0KHyIiLsZuN3hm6T7+36Jd2A3o3TmEF2cMIjLY1+zSRJxC4UNExIUUV9Vz1zubWLr7IAAX9IthzkW98ffRj2tpP3Q1i4i4iLUZxdz+5kbyy2uxennw9/N7cumgOA0slXZH4UNExGR2u8Fzy9L416Jd2OwGyREBPPX7AZwRrf2tpH1S+BARMVFxVT13v7uJ73c1dbOc3y+GRy7sTaB2pJV2TFe3iIhJ1mUUc/tbG8krq8XHy4OHfteTywerm0XaP4UPEZFWZrcbvLA8jce+/rmbZcH0AfSIUTeLuAeFDxGRVlRSVc/d7/3EdzsLAJjaN4a5F6mbRdyLrnYRkVayPrOE29/cwP5D3SwPTu3JFUPUzSLuR+FDRKSFGYbBi8vTefSrnTTaDZIiAlgwvT89Y7RaqbgnhQ8RkRaUV1bDvR9scSwadl6faOZe1JsgX2+TKxMxj8KHiEgLMAyD99bn8I/PtlNR24iPlwd/O68Hvx8ar24WcXsKHyIiTpZfVst9H252rN3RLy6Uf13Sh66dgkyuTMQ1KHyIiDiJYRh8sCGXh/63ram1w9OD2ZNSuf7MJLw8PcwuT8RlKHyIiDjBgfJa/vzhFr49NIW2b2wI/7qkLymRau0QOZrCh4jIaTAMg4825vLgp9soP9TaMWtiCjeOSlZrh8hxKHyIiJyigvJa/vzRVr7ZcQCA3p2bWju6Ram1Q+S3KHyIiDSTYRh8smk/D3y6jbKaBrw9LcyakMrM0WrtEDkZCh8iIs1QUF7LXz7eyqLtTa0dvToH869L+tI9SvuyiJwshQ8RkZPQYLPzyooM5n+zm6p6G96eFu4Yn8JNY7vgrdYOkWZR+BAROYEVewt54NNt7C2oBJrW7Zh7UW/OiFZrh8ipUPgQETmO/aU1PPL5Dj7fkgdAWIAP957TnYsHxuLhoVVKRU6VwoeIyFHqGm289EM6//l2LzUNNjwscNWwBGZP7EaIv/ZkETldCh8iIr+wdPdBHvx0G+mFVQAMTuzAQ7/rRY8YdbGIOIvCh4gIkF1czT8+2+6YxRIRaOXP53bnwv6dtRGciJMpfIiIW6upt/H8sjSeXrKXukY7nh4WrhmRyKwJKdr2XqSFKHyIiFtqsNl5e202T367h4MVdQAMSw7j7+f3IlX7sYi0KIUPEXErdrvB/zbvZ97i3WQWVQMQ28GPe87pztQ+0epiEWkFCh8i4hYMw2DJroM89vUuduSVA03jOu44qyuXD47Hx0sLhYm0FoUPEWn31mUU89hXu/gxoxiAIKsXM8ckc+3IJAKs+jEo0tr0XSci7daOvHL+9fUuvt1ZAIDVy4MZIxK5eUwXOgT4mFydiPtS+BCRdmdnfjlPf7+P/23ej2GAp4eFSwfFcsdZKUSH+JldnojbU/gQkXZjfWYxT3+/z9HSATClTzR3T0wluWOgiZWJyC8pfIhIm2YYBkt2H+SZ7/c5xnRYLHBur2huHtuFXp1DTK5QRI6m8CEibZLNbvDFljyeWbKP7Ydmr3h7Wpg2IJaZY7qQFBFgcoUicjwKHyLSptQ22PhwQy7PLdvnWKfD38eT6UPiuX5UMlEhviZXKCInovAhIm1CdnE1b6zJ4p21WZRUNwDQwd+ba0YkcfXwBM1eEWlDFD5ExGXZ7QY/7C3ktVWZfLfzAHaj6XjnUD/+cGYSVwyJw99HP8ZE2hp914qIyymvbeD9dTm8vjqTtENb2wOc2TWCq4cncNYZkXh6aBl0kbZK4UNEXIJhGGzKLuW99Tl8vDGX6nob0LQa6bSBsVw1PIEumi4r0i4ofIiIqfLLavlwYw4frM9h38GfWzlSIwO5engiF/bvrCXQRdoZfUeLSKurbbDx9bZ83l+fw4q9hY6xHL7eHkzuFc2lg+IYlhymHWZF2imFDxFpFQ02Oyv3FfHF5jy+2JJHRV2j47khiWFcPDCWyb2jCPL1NrFKEWkNCh8i0mJ+GTi+3p5P6aEpsgCxHfy4aEAs0wZ0JiFcC4KJuBOFDxFxqtoGG6v2FfHl1jwWbT9wROCICPTh7J5RnNcnhqFJYXhoxoqIW1L4EJHTll9Wy3c7C/hu5wF+2FtIbYPd8dzhwDGlTzRDk8I1RVZEFD5EpPnqGm1szCrlhz2FfLezwLG3ymHRIb6cdUYnzu2twCEix1L4EJETstsNtueVs2JvISv2FfFjetERrRsWC/SPC2V8906M7x7JGdFBmqkiIsel8CEix6htsLE5p4y1GcWsyyhmfWYJ5bWNR7wmItCHEV0iGJ3akXHdOhIeaDWpWhFpaxQ+RNyc3W6QVljF5pxSfsouZVNOGTv2l1Nvsx/xugAfT4YlhzOiawRndo0gNTJQrRsickpaLHw8/fTTPP744+Tl5dGzZ0/mz5/PqFGjWurtROQklNU0sCu/gp355ezMr2BnXjm78iuoOrSU+S9FBFoZktSBQQlhDEkKo3tUEF6eHiZULSLtTYuEj3feeYdZs2bx9NNPM3LkSJ577jkmT57M9u3biY+Pb4m3FJFDbHaD/aU1ZBZVk15URUZhFemFVezKryC3tOZX/4yvtwe9YkLoExtK37gQ+sWFEh/mr5YNEWkRFsMwDGefdOjQoQwYMIBnnnnGceyMM87gggsuYO7cub/5Z8vLywkJCaGsrIzg4GBnlybSphmGQXlNI3nlNeSV1ZJXWkt+WQ37y2rJL6tlf1kNOSU11Dfaj3uOzqF+dI8KoltUEN2jg+keFURSRADeatUQkdPQnPu301s+6uvrWb9+Pffee+8RxydNmsTKlSuPeX1dXR11dXWOr8vLy495jYg7W5dRzPQX1/xmoDiaj6cHcWF+JEUEkBgeQGJEAN2igkiNDCLET8uXi4i5nB4+CgsLsdlsREZGHnE8MjKS/Pz8Y14/d+5cHnroIWeXIdJuvLM2+5jg0cHfm6gQP2JCfIkK8SUm1I+oYF+iQ32J6+BPTKif1tYQEZfVYgNOj+4rNgzjV/uP77vvPmbPnu34ury8nLi4uJYqS6TNuXtSNzoFW1mXUUJEoJXx3TsxbWCs2WWJiJwyp4ePiIgIPD09j2nlKCgoOKY1BMBqtWK1an0AkeOJCvHl/87ubnYZIiJO4/QRZj4+PgwcOJDFixcfcXzx4sWMGDHC2W8nIiIibUyLdLvMnj2bq666ikGDBjF8+HCef/55srKyuOmmm1ri7URERKQNaZHwcdlll1FUVMTf//538vLy6NWrF1988QUJCQkt8XYiIiLShrTIOh+nQ+t8iIiItD3NuX9rVSERERFpVQofIiIi0qoUPkRERKRVKXyIiIhIq1L4EBERkVal8CEiIiKtSuFDREREWpXCh4iIiLQqhQ8RERFpVS2yvPrpOLzganl5ucmViIiIyMk6fN8+mYXTXS58VFRUABAXF2dyJSIiItJcFRUVhISE/OZrXG5vF7vdzv79+wkKCsJisZhdzhHKy8uJi4sjOztb+84chz6jE9NndGL6jE5Mn9Fv0+dzYs7+jAzDoKKigpiYGDw8fntUh8u1fHh4eBAbG2t2Gb8pODhYF/MJ6DM6MX1GJ6bP6MT0Gf02fT4n5szP6EQtHodpwKmIiIi0KoUPERERaVUKH81gtVp54IEHsFqtZpfisvQZnZg+oxPTZ3Ri+ox+mz6fEzPzM3K5AaciIiLSvqnlQ0RERFqVwoeIiIi0KoUPERERaVUKHyIiItKqFD5O0iOPPMKIESPw9/cnNDT0V1+TlZXF1KlTCQgIICIigjvuuIP6+vrWLdSFJCYmYrFYjnjce++9ZpdlqqeffpqkpCR8fX0ZOHAgy5cvN7skl/Hggw8ec71ERUWZXZapli1bxtSpU4mJicFisfDxxx8f8bxhGDz44IPExMTg5+fH2LFj2bZtmznFmuREn9E111xzzHU1bNgwc4o1wdy5cxk8eDBBQUF06tSJCy64gF27dh3xGjOuI4WPk1RfX88ll1zCzTff/KvP22w2pkyZQlVVFT/88ANvv/02H3zwAXfffXcrV+pa/v73v5OXl+d4/OUvfzG7JNO88847zJo1i/vvv5+NGzcyatQoJk+eTFZWltmluYyePXsecb1s2bLF7JJMVVVVRd++fVmwYMGvPv/YY48xb948FixYwNq1a4mKimLixImOPbLcwYk+I4BzzjnniOvqiy++aMUKzbV06VJuvfVWVq9ezeLFi2lsbGTSpElUVVU5XmPKdWRIsyxcuNAICQk55vgXX3xheHh4GLm5uY5jb731lmG1Wo2ysrJWrNB1JCQkGP/+97/NLsNlDBkyxLjpppuOONa9e3fj3nvvNaki1/LAAw8Yffv2NbsMlwUYH330keNru91uREVFGf/85z8dx2pra42QkBDj2WefNaFC8x39GRmGYcyYMcM4//zzTanHFRUUFBiAsXTpUsMwzLuO1PLhJKtWraJXr17ExMQ4jp199tnU1dWxfv16Eysz16OPPkp4eDj9+vXjkUcecdtuqPr6etavX8+kSZOOOD5p0iRWrlxpUlWuZ8+ePcTExJCUlMTll19OWlqa2SW5rPT0dPLz84+4pqxWK2PGjNE1dZQlS5bQqVMnUlNTueGGGygoKDC7JNOUlZUBEBYWBph3HbncxnJtVX5+PpGRkUcc69ChAz4+PuTn55tUlbnuvPNOBgwYQIcOHfjxxx+57777SE9P58UXXzS7tFZXWFiIzWY75hqJjIx02+vjaEOHDuW1114jNTWVAwcO8PDDDzNixAi2bdtGeHi42eW5nMPXza9dU5mZmWaU5JImT57MJZdcQkJCAunp6fz1r39l/PjxrF+/3u1WPzUMg9mzZ3PmmWfSq1cvwLzryK1bPn5tgNvRj3Xr1p30+SwWyzHHDMP41eNtVXM+s7vuuosxY8bQp08frr/+ep599lleeuklioqKTP5bmOfoa6G9XR+nY/LkyUybNo3evXszYcIEPv/8cwBeffVVkytzbbqmfttll13GlClT6NWrF1OnTuXLL79k9+7djuvLndx2221s3ryZt95665jnWvs6cuuWj9tuu43LL7/8N1+TmJh4UueKiopizZo1RxwrKSmhoaHhmETZlp3OZ3Z4hPnevXvd7jfZiIgIPD09j2nlKCgoaFfXhzMFBATQu3dv9uzZY3YpLunwTKD8/Hyio6Mdx3VN/bbo6GgSEhLc7rq6/fbb+fTTT1m2bBmxsbGO42ZdR24dPiIiIoiIiHDKuYYPH84jjzxCXl6e4x9w0aJFWK1WBg4c6JT3cAWn85lt3LgR4IgL3F34+PgwcOBAFi9ezIUXXug4vnjxYs4//3wTK3NddXV17Nixg1GjRpldiktKSkoiKiqKxYsX079/f6BpbNHSpUt59NFHTa7OdRUVFZGdne02P4cMw+D222/no48+YsmSJSQlJR3xvFnXkVuHj+bIysqiuLiYrKwsbDYbmzZtAqBr164EBgYyadIkevTowVVXXcXjjz9OcXExf/zjH7nhhhsIDg42t3gTrFq1itWrVzNu3DhCQkJYu3Ytd911F7/73e+Ij483uzxTzJ49m6uuuopBgwYxfPhwnn/+ebKysrjpppvMLs0l/PGPf2Tq1KnEx8dTUFDAww8/THl5OTNmzDC7NNNUVlayd+9ex9fp6els2rSJsLAw4uPjmTVrFnPmzCElJYWUlBTmzJmDv78/06dPN7Hq1vVbn1FYWBgPPvgg06ZNIzo6moyMDP785z8TERFxxC8B7dmtt97Km2++ySeffEJQUJCj9TUkJAQ/Pz8sFos511GLzaNpZ2bMmGEAxzy+//57x2syMzONKVOmGH5+fkZYWJhx2223GbW1teYVbaL169cbQ4cONUJCQgxfX1+jW7duxgMPPGBUVVWZXZqpnnrqKSMhIcHw8fExBgwY4JjuJoZx2WWXGdHR0Ya3t7cRExNjXHTRRca2bdvMLstU33///a/+3JkxY4ZhGE3TJB944AEjKirKsFqtxujRo40tW7aYW3Qr+63PqLq62pg0aZLRsWNHw9vb24iPjzdmzJhhZGVlmV12q/m1zwYwFi5c6HiNGdeR5VBxIiIiIq3CrWe7iIiISOtT+BAREZFWpfAhIiIirUrhQ0RERFqVwoeIiIi0KoUPERERaVUKHyIiItKqFD5ERESkVSl8iIiISKtS+BAREZFWpfAhIiIirUrhQ0RERFrV/we7msm/I9/RGgAAAABJRU5ErkJggg==",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:16:25.805405</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mf4a67d91a1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m8b1083c2a2\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p5082b9307e)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p5082b9307e\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "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",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:16:26.325065</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#p9fca97bdef)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9fca97bdef\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -147,11 +152,11 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# Euler's method for training - benchmark time"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -179,8 +184,8 @@
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "Epoch: 0\t Loss: tensor(1.2093, grad_fn=<MseLossBackward>)\n",
       "{'sigma': Parameter containing:\n",
@@ -258,7 +263,6 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "{'sigma': Parameter containing:\n",
@@ -269,8 +273,9 @@
        " tensor(2.6892, requires_grad=True)}"
       ]
      },
+     "execution_count": 23,
      "metadata": {},
-     "execution_count": 23
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -278,11 +283,11 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# Runge-Kutta method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -308,8 +313,8 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "Epoch: 0\t Loss: tensor(0.1864, grad_fn=<MseLossBackward>)\n",
       "{'sigma': Parameter containing:\n",
@@ -387,7 +392,6 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "{'sigma': Parameter containing:\n",
@@ -398,8 +402,9 @@
        " tensor(2.6995, requires_grad=True)}"
       ]
      },
+     "execution_count": 26,
      "metadata": {},
-     "execution_count": 26
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -409,11 +414,11 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# Predictions for nt = 10000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -430,7 +435,6 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
@@ -442,8 +446,9 @@
        "        [-6.0874e+00, -9.4245e+00,  1.7859e+01]], grad_fn=<StackBackward>)"
       ]
      },
+     "execution_count": 28,
      "metadata": {},
-     "execution_count": 28
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -456,29 +461,34 @@
    "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stderr",
+     "output_type": "stream",
      "text": [
-      "<ipython-input-29-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
+      "<ipython-input-29-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n",
+      "  ax = fig.gca(projection='3d')\n"
      ]
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "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",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:38:11.814001</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m330d5eceb1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"29.348737\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(18.796393 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"71.768331\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −15 -->\n      <g transform=\"translate(61.215988 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"114.187926\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −10 -->\n      <g transform=\"translate(103.635582 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"156.60752\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −5 -->\n      <g transform=\"translate(149.236426 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"199.027114\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0 -->\n      <g transform=\"translate(195.845864 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.446708\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5 -->\n      <g transform=\"translate(238.265458 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"283.866303\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(277.503803 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"326.285897\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 15 -->\n      <g transform=\"translate(319.923397 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"368.705491\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(362.342991 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mccc263628a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"211.202667\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.001886)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"161.189334\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 164.988553)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"111.176001\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 114.97522)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"61.162668\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.961887)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"11.149335\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.948554)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p5fa4cf41e2)\" d=\"M 207.511033 261.216 \nL 206.19474 261.166777 \nL 206.208519 261.132263 \nL 207.301553 260.965927 \nL 212.388379 260.269663 \nL 217.75888 259.256623 \nL 222.62645 258.060557 \nL 225.531377 257.218102 \nL 228.795859 256.155499 \nL 232.457885 254.816587 \nL 236.558133 253.131872 \nL 241.139279 251.015939 \nL 246.244868 248.364719 \nL 251.917561 245.052853 \nL 258.196533 240.9316 \nL 265.113767 235.827996 \nL 272.688917 229.546369 \nL 280.92243 221.873775 \nL 289.786775 212.591411 \nL 299.215678 201.494383 \nL 309.091886 188.422098 \nL 319.234552 173.300336 \nL 329.388391 156.19339 \nL 339.217899 137.359739 \nL 348.310901 117.298391 \nL 356.195769 96.766814 \nL 362.375417 76.74969 \nL 366.37711 58.364948 \nL 367.812273 42.712029 \nL 366.434442 30.692414 \nL 362.181511 22.852151 \nL 355.190023 19.296 \nL 345.777382 19.699626 \nL 334.396486 23.410218 \nL 321.575135 29.596216 \nL 307.854578 37.39794 \nL 293.738749 46.043205 \nL 252.904404 71.696425 \nL 240.653113 79.165152 \nL 229.311239 85.903665 \nL 218.92363 91.913931 \nL 200.989959 101.933472 \nL 180.507228 112.950385 \nL 156.0663 126.067647 \nL 148.81924 129.944413 \nL 145.00079 131.819264 \nL 141.709006 133.185586 \nL 138.769434 134.069821 \nL 136.058854 134.487775 \nL 133.497426 134.452127 \nL 131.041924 133.978501 \nL 128.679933 133.090565 \nL 126.424653 131.824378 \nL 124.309871 130.231689 \nL 122.384715 128.381773 \nL 120.70778 126.361286 \nL 119.340677 124.271676 \nL 118.341071 122.223983 \nL 117.755655 120.331274 \nL 117.613878 118.699712 \nL 117.712627 118.010919 \nL 117.923193 117.419569 \nL 118.242654 116.933208 \nL 118.666552 116.557589 \nL 119.188957 116.296604 \nL 119.802578 116.152256 \nL 120.498905 116.124716 \nL 122.10066 116.412125 \nL 123.90895 117.127819 \nL 125.831687 118.220726 \nL 127.776463 119.626092 \nL 129.656124 121.271571 \nL 131.393017 123.082309 \nL 132.921573 124.98469 \nL 134.18953 126.908631 \nL 135.157977 128.788814 \nL 135.800601 130.56502 \nL 136.102557 132.182024 \nL 136.059255 133.589336 \nL 135.675297 134.741043 \nL 134.963788 135.595897 \nL 134.49153 135.900543 \nL 133.331162 136.244721 \nL 131.912027 136.214901 \nL 130.276817 135.794886 \nL 128.477588 134.980603 \nL 126.575993 133.78307 \nL 124.642932 132.231352 \nL 122.757268 130.374969 \nL 121.003275 128.284854 \nL 119.466709 126.05227 \nL 118.229546 123.78503 \nL 117.363764 121.600924 \nL 116.924792 119.618727 \nL 116.8767 118.738194 \nL 116.945724 117.947893 \nL 117.131814 117.258422 \nL 117.43316 116.678652 \nL 117.846175 116.215577 \nL 118.365579 115.874176 \nL 118.984492 115.657386 \nL 119.694613 115.566124 \nL 120.48638 115.599359 \nL 122.271588 116.026299 \nL 124.24694 116.896949 \nL 126.313783 118.15066 \nL 128.375012 119.714435 \nL 130.3408 121.509452 \nL 132.132658 123.456144 \nL 133.685746 125.477681 \nL 134.949645 127.501974 \nL 135.887982 129.46245 \nL 136.477323 131.298133 \nL 136.705774 132.953228 \nL 136.571623 134.376699 \nL 136.082229 135.522024 \nL 135.708927 135.977105 \nL 135.253373 136.347335 \nL 134.71882 136.628333 \nL 134.109045 136.816105 \nL 132.681694 136.898505 \nL 131.012797 136.573511 \nL 129.153534 135.831641 \nL 127.165317 134.678265 \nL 125.119826 133.137021 \nL 123.098065 131.25286 \nL 121.188209 129.0939 \nL 119.481912 126.751194 \nL 118.068974 124.335694 \nL 117.030767 121.971993 \nL 116.433044 119.789061 \nL 116.313938 118.804149 \nL 116.319116 117.909077 \nL 116.449622 117.116191 \nL 116.704566 116.436078 \nL 117.081117 115.877324 \nL 117.574564 115.446387 \nL 118.17838 115.147492 \nL 118.884391 114.982625 \nL 119.682962 114.951603 \nL 120.563203 115.052176 \nL 122.520383 115.629961 \nL 124.653515 116.664534 \nL 126.856553 118.085783 \nL 129.027243 119.812842 \nL 131.072888 121.760812 \nL 132.914125 123.845833 \nL 134.486854 125.98828 \nL 135.742496 128.114349 \nL 136.647184 130.156471 \nL 137.180272 132.053025 \nL 137.332693 133.747679 \nL 137.105436 135.188788 \nL 136.852195 135.799331 \nL 136.508409 136.329115 \nL 136.076614 136.772939 \nL 135.55986 137.125941 \nL 134.961721 137.383616 \nL 134.286309 137.541892 \nL 132.72297 137.546537 \nL 130.914541 137.118729 \nL 128.916082 136.249805 \nL 126.793686 134.947301 \nL 124.624542 133.238834 \nL 122.495908 131.175487 \nL 120.502635 128.833745 \nL 118.742873 126.314982 \nL 117.312047 123.741702 \nL 116.295418 121.250012 \nL 115.760084 118.978918 \nL 115.687047 117.96721 \nL 115.747583 117.057629 \nL 115.941991 116.262749 \nL 116.268475 115.593091 \nL 116.723119 115.056897 \nL 117.299991 114.660006 \nL 117.991253 114.405794 \nL 118.787357 114.295214 \nL 119.677266 114.326865 \nL 120.648716 114.497228 \nL 122.782698 115.230503 \nL 125.077405 116.432978 \nL 127.419388 118.024989 \nL 129.701384 119.917832 \nL 131.828036 122.020729 \nL 133.719372 124.245796 \nL 135.312242 126.510862 \nL 136.560077 128.740612 \nL 137.4316 130.866624 \nL 137.908959 132.82667 \nL 137.985826 134.563841 \nL 137.665754 136.025813 \nL 137.360384 136.638378 \nL 136.961037 137.164413 \nL 136.470531 137.598574 \nL 135.892198 137.935845 \nL 135.229905 138.17159 \nL 134.48808 138.30161 \nL 133.671728 138.322205 \nL 131.838667 138.023483 \nL 129.783952 137.260044 \nL 127.572395 136.031947 \nL 125.280964 134.359147 \nL 122.998296 132.285688 \nL 120.822808 129.882732 \nL 118.858848 127.249403 \nL 117.210806 124.51013 \nL 115.97539 121.807955 \nL 115.232832 119.293724 \nL 115.064801 118.153035 \nL 115.038271 117.112471 \nL 115.155071 116.186883 \nL 115.414732 115.389065 \nL 115.814479 114.729442 \nL 116.349263 114.215866 \nL 117.011867 113.853497 \nL 117.793075 113.644787 \nL 118.681884 113.589564 \nL 119.665802 113.685167 \nL 120.731114 113.926683 \nL 123.046979 114.81831 \nL 125.507881 116.191424 \nL 127.992879 117.956659 \nL 130.389717 120.017517 \nL 132.600522 122.277527 \nL 134.544861 124.644987 \nL 136.160686 127.035379 \nL 137.403525 129.372056 \nL 138.244699 131.58581 \nL 138.669102 133.613843 \nL 138.673026 135.398653 \nL 138.518826 136.183068 \nL 138.262414 136.887048 \nL 137.905856 137.504546 \nL 137.451718 138.02976 \nL 136.903066 138.457186 \nL 136.263485 138.781617 \nL 135.537105 138.998226 \nL 134.72863 139.102614 \nL 133.843381 139.090919 \nL 132.887332 138.959907 \nL 130.790314 138.330953 \nL 128.50025 137.207521 \nL 126.092796 135.600571 \nL 123.656822 133.545227 \nL 121.293196 131.10501 \nL 119.1116 128.37418 \nL 117.224989 125.476622 \nL 115.741887 122.560386 \nL 114.756885 119.787372 \nL 114.474481 118.505493 \nL 114.340787 117.319053 \nL 114.359501 116.245512 \nL 114.531894 115.300311 \nL 114.856711 114.496503 \nL 115.33019 113.844426 \nL 115.946085 113.351521 \nL 116.695852 113.022235 \nL 117.56882 112.858044 \nL 118.552486 112.857596 \nL 119.632823 113.016902 \nL 120.794619 113.329628 \nL 123.298015 114.380314 \nL 125.930995 115.925354 \nL 128.564913 117.865511 \nL 131.08246 120.096493 \nL 133.383207 122.516238 \nL 135.386319 125.029353 \nL 137.030862 127.549117 \nL 138.274469 129.997671 \nL 139.091018 132.305072 \nL 139.468034 134.40796 \nL 139.404269 136.248126 \nL 139.209303 137.052631 \nL 138.907844 137.771426 \nL 138.502183 138.3983 \nL 137.995098 138.927254 \nL 137.389871 139.352544 \nL 136.690296 139.668733 \nL 135.900726 139.870737 \nL 135.0261 139.95391 \nL 134.072005 139.91415 \nL 133.04472 139.748014 \nL 130.799521 139.026901 \nL 128.356694 137.781662 \nL 125.796613 136.024067 \nL 123.214185 133.792285 \nL 120.717594 131.155731 \nL 118.424755 128.217707 \nL 116.457187 125.11411 \nL 114.931244 122.007097 \nL 114.366241 120.507331 \nL 113.947513 119.073166 \nL 113.683353 117.726209 \nL 113.579757 116.486789 \nL 113.64018 115.373401 \nL 113.86539 114.402188 \nL 114.253381 113.586531 \nL 114.799379 112.936763 \nL 115.495948 112.459932 \nL 116.333162 112.159788 \nL 117.298859 112.036826 \nL 118.378969 112.088472 \nL 119.557869 112.309354 \nL 120.818779 112.69167 \nL 122.144164 113.225564 \nL 124.916866 114.700929 \nL 127.735208 116.631309 \nL 130.468587 118.904807 \nL 133.003643 121.410758 \nL 135.247997 124.045471 \nL 137.131161 126.714964 \nL 138.603319 129.335397 \nL 139.632829 131.832143 \nL 140.203229 134.13815 \nL 140.310328 136.19214 \nL 140.191586 137.106691 \nL 139.959843 137.937133 \nL 139.6171 138.676857 \nL 139.165839 139.319433 \nL 138.609011 139.858612 \nL 137.950056 140.288395 \nL 137.192931 140.603049 \nL 136.342153 140.797173 \nL 135.402852 140.865799 \nL 134.380819 140.80449 \nL 133.282581 140.609488 \nL 132.115465 140.277835 \nL 130.887663 139.807587 \nL 128.287468 138.449555 \nL 125.56684 136.547002 \nL 122.82668 134.140211 \nL 120.182713 131.303809 \nL 117.761715 128.149844 \nL 115.694677 124.8265 \nL 114.107009 121.510911 \nL 113.527692 119.916067 \nL 113.106642 118.395571 \nL 112.852572 116.972825 \nL 112.771647 115.669692 \nL 112.867216 114.505927 \nL 113.139645 113.49856 \nL 113.586246 112.661497 \nL 114.2013 112.005156 \nL 114.976181 111.536329 \nL 115.899587 111.258106 \nL 116.957827 111.170029 \nL 118.135207 111.268322 \nL 119.414442 111.546221 \nL 120.777094 111.994415 \nL 122.204045 112.601476 \nL 125.173541 114.238932 \nL 128.172035 116.34307 \nL 131.061585 118.792577 \nL 133.724331 121.469816 \nL 136.065938 124.266392 \nL 138.015949 127.085413 \nL 139.525912 129.841437 \nL 140.566284 132.45894 \nL 141.122921 134.870253 \nL 141.218815 135.979061 \nL 141.193822 137.013434 \nL 141.049165 137.966228 \nL 140.786559 138.830478 \nL 140.408172 139.599363 \nL 139.916621 140.266207 \nL 139.314982 140.824494 \nL 138.606798 141.267889 \nL 137.796131 141.590317 \nL 136.887596 141.785987 \nL 135.886433 141.849519 \nL 134.798568 141.776057 \nL 133.630699 141.561394 \nL 132.390373 141.202173 \nL 131.086068 140.696038 \nL 129.727251 140.041881 \nL 126.889361 138.292586 \nL 123.97443 135.978899 \nL 121.097769 133.159868 \nL 118.389859 129.934559 \nL 115.990682 126.443695 \nL 114.040558 122.865376 \nL 113.274844 121.106579 \nL 112.667824 119.403445 \nL 112.231377 117.782424 \nL 111.974904 116.268997 \nL 111.904974 114.886917 \nL 112.025035 113.657484 \nL 112.335248 112.598938 \nL 112.832401 111.72597 \nL 113.509933 111.049357 \nL 114.358118 110.575799 \nL 115.364293 110.307897 \nL 116.513233 110.244347 \nL 117.787573 110.380205 \nL 119.168284 110.707336 \nL 120.635196 111.214893 \nL 122.167482 111.889854 \nL 125.34455 113.682315 \nL 128.537436 115.957215 \nL 131.599848 118.583305 \nL 134.408562 121.435446 \nL 136.866601 124.40018 \nL 138.903014 127.377506 \nL 140.470338 130.280186 \nL 141.540824 133.031746 \nL 142.102421 135.563892 \nL 142.191992 136.727943 \nL 142.155097 137.813971 \nL 141.993146 138.8147 \nL 141.708006 139.722964 \nL 141.301969 140.531733 \nL 140.777743 141.234063 \nL 140.138466 141.823133 \nL 139.387724 142.292246 \nL 138.529603 142.634898 \nL 137.568741 142.844857 \nL 136.510395 142.91623 \nL 135.360533 142.843617 \nL 134.125915 142.622258 \nL 132.814203 142.248204 \nL 131.434033 141.718535 \nL 129.995132 141.031592 \nL 128.508374 140.187241 \nL 126.985853 139.187133 \nL 125.440921 138.034997 \nL 122.343475 135.3014 \nL 119.346891 132.066962 \nL 116.597111 128.458068 \nL 115.362651 126.565312 \nL 114.247288 124.646627 \nL 113.269342 122.72925 \nL 112.445907 120.841778 \nL 111.792349 119.013402 \nL 111.321807 117.273141 \nL 111.044718 115.648963 \nL 110.968413 114.16693 \nL 111.096791 112.850384 \nL 111.430111 111.719225 \nL 111.964879 110.789374 \nL 112.693926 110.072353 \nL 113.606562 109.575118 \nL 114.688865 109.300053 \nL 115.924118 109.245192 \nL 117.29326 109.404584 \nL 118.775463 109.768766 \nL 120.348689 110.325364 \nL 121.990259 111.059727 \nL 123.677413 111.955532 \nL 127.09987 114.16134 \nL 130.449339 116.799887 \nL 133.582126 119.732388 \nL 136.382785 122.832112 \nL 138.765097 125.987679 \nL 140.669876 129.102915 \nL 142.060996 132.094769 \nL 142.920714 134.890361 \nL 143.14967 136.19379 \nL 143.24522 137.423872 \nL 143.208455 138.573051 \nL 143.040937 139.633895 \nL 142.744652 140.59908 \nL 142.321972 141.461346 \nL 141.775642 142.213481 \nL 141.108807 142.848311 \nL 140.325021 143.358758 \nL 139.428316 143.737859 \nL 138.423248 143.97884 \nL 137.31499 144.075225 \nL 136.109426 144.020956 \nL 134.813253 143.810557 \nL 133.434087 143.439317 \nL 131.980586 142.903524 \nL 130.462552 142.200727 \nL 128.891041 141.330009 \nL 127.278436 140.292307 \nL 125.638517 139.090728 \nL 123.986461 137.730846 \nL 122.338856 136.221015 \nL 120.713597 134.572617 \nL 119.129731 132.800256 \nL 117.607284 130.921837 \nL 116.166926 128.958566 \nL 114.829647 126.934778 \nL 113.61628 124.877612 \nL 112.547019 122.816515 \nL 111.640863 120.782635 \nL 110.915037 118.807983 \nL 110.384412 116.924537 \nL 110.060962 115.16327 \nL 109.953305 113.553153 \nL 110.066278 112.120209 \nL 110.400715 110.886684 \nL 110.953291 109.870388 \nL 111.71657 109.084217 \nL 112.679184 108.535918 \nL 113.826165 108.228133 \nL 115.139399 108.158591 \nL 116.598163 108.320568 \nL 118.179763 108.703447 \nL 119.860169 109.293394 \nL 121.61468 110.07408 \nL 123.418505 111.027427 \nL 125.247363 112.134241 \nL 128.888322 114.729671 \nL 132.369301 117.705871 \nL 135.551595 120.919733 \nL 138.329042 124.245157 \nL 140.626731 127.574129 \nL 142.397055 130.814816 \nL 143.614484 133.888278 \nL 144.012593 135.340253 \nL 144.270211 136.724814 \nL 144.388075 138.034119 \nL 144.367443 139.260509 \nL 144.210011 140.396447 \nL 143.917844 141.434455 \nL 143.49336 142.367054 \nL 142.939299 143.186764 \nL 142.258754 143.886099 \nL 141.455178 144.45756 \nL 140.532456 144.893696 \nL 139.49496 145.187162 \nL 138.347655 145.330805 \nL 137.096192 145.317803 \nL 135.747027 145.141803 \nL 134.307555 144.797158 \nL 132.786241 144.279118 \nL 131.192755 143.584142 \nL 129.538094 142.710201 \nL 127.834693 141.657092 \nL 126.096518 140.426839 \nL 124.339119 139.024049 \nL 122.579624 137.456248 \nL 120.836716 135.734235 \nL 119.130468 133.872329 \nL 117.482182 131.888529 \nL 115.914086 129.804586 \nL 114.448954 127.645865 \nL 113.109652 125.441069 \nL 111.918575 123.221754 \nL 110.897051 121.02168 \nL 110.064692 118.875913 \nL 109.438724 116.819834 \nL 109.033346 114.888033 \nL 108.859165 113.113153 \nL 108.922719 111.524796 \nL 109.226111 110.148496 \nL 109.766858 109.004926 \nL 110.537848 108.109292 \nL 111.527526 107.471019 \nL 112.720245 107.09373 \nL 114.096741 106.975491 \nL 115.634748 107.109251 \nL 117.309709 107.483534 \nL 119.095491 108.083202 \nL 120.965135 108.890293 \nL 122.891561 109.884859 \nL 124.848214 111.045771 \nL 126.809609 112.351403 \nL 130.652696 115.311387 \nL 134.253051 118.601706 \nL 137.478305 122.077125 \nL 140.232077 125.613549 \nL 142.450609 129.10694 \nL 144.097187 132.469844 \nL 144.700367 134.07852 \nL 145.155873 135.627138 \nL 145.463986 137.10752 \nL 145.625614 138.511799 \nL 145.64216 139.832246 \nL 145.515436 141.06124 \nL 145.247587 142.191187 \nL 144.841048 143.214447 \nL 144.298529 144.123322 \nL 143.623016 144.910027 \nL 142.817802 145.566692 \nL 141.88654 146.085381 \nL 140.83332 146.458158 \nL 139.662749 146.67717 \nL 138.380088 146.73473 \nL 136.991362 146.623521 \nL 135.503519 146.336761 \nL 133.924569 145.86843 \nL 132.263751 145.213596 \nL 130.531696 144.368692 \nL 128.74055 143.331933 \nL 126.904127 142.103703 \nL 125.037986 140.686966 \nL 123.159483 139.087724 \nL 121.287759 137.315391 \nL 119.443658 135.38319 \nL 117.649583 133.308385 \nL 115.929208 131.11247 \nL 114.307121 128.821134 \nL 112.808355 126.464071 \nL 111.457815 124.074537 \nL 110.27961 121.688724 \nL 109.29634 119.344826 \nL 108.528336 117.082002 \nL 107.992905 114.939097 \nL 107.703623 112.953332 \nL 107.669738 111.159012 \nL 107.895693 109.58625 \nL 108.380847 108.259975 \nL 109.11936 107.199092 \nL 110.100316 106.41605 \nL 111.308052 105.916678 \nL 112.722656 105.700394 \nL 114.320641 105.760644 \nL 116.075693 106.085685 \nL 117.959529 106.659426 \nL 119.942737 107.462405 \nL 121.995607 108.472787 \nL 124.088868 109.667306 \nL 126.194353 111.022094 \nL 128.285534 112.51339 \nL 132.329485 115.814307 \nL 136.054113 119.400135 \nL 139.333462 123.124692 \nL 142.080552 126.866362 \nL 144.241978 130.525089 \nL 145.093848 132.296801 \nL 145.790915 134.017555 \nL 146.332791 135.678707 \nL 146.719895 137.272054 \nL 146.953281 138.789669 \nL 147.034502 140.223834 \nL 146.96549 141.566898 \nL 146.748476 142.811222 \nL 146.385923 143.949087 \nL 145.880501 144.972652 \nL 145.235083 145.873924 \nL 144.452758 146.644737 \nL 143.536893 147.276752 \nL 142.491189 147.761501 \nL 141.319785 148.090435 \nL 140.027382 148.255035 \nL 138.619364 148.246936 \nL 137.101973 148.058106 \nL 135.482471 147.681085 \nL 133.769321 147.109252 \nL 131.972373 146.337152 \nL 130.103057 145.360901 \nL 128.174535 144.178621 \nL 126.201862 142.790884 \nL 124.202092 141.201248 \nL 122.19432 139.416743 \nL 120.199679 137.448359 \nL 118.241238 135.311425 \nL 116.343785 133.025936 \nL 114.53352 130.616713 \nL 112.837596 128.113338 \nL 111.283561 125.549836 \nL 109.898675 122.964164 \nL 108.709119 120.397324 \nL 107.73915 117.892288 \nL 107.010217 115.492643 \nL 106.54012 113.241113 \nL 106.342208 111.177976 \nL 106.424744 109.339593 \nL 106.790428 107.756997 \nL 107.436146 106.454846 \nL 108.352974 105.450626 \nL 109.526405 104.754316 \nL 110.936834 104.368385 \nL 112.560223 104.288255 \nL 114.368943 104.503013 \nL 116.332709 104.996375 \nL 118.419561 105.747832 \nL 120.596821 106.733794 \nL 122.832004 107.928723 \nL 125.093603 109.306177 \nL 127.351796 110.839684 \nL 129.578921 112.50346 \nL 131.749902 114.27293 \nL 135.83722 118.038821 \nL 139.470295 121.975341 \nL 141.083931 123.964988 \nL 142.55003 125.949579 \nL 143.862171 127.916475 \nL 145.015827 129.854276 \nL 146.008111 131.752642 \nL 146.837501 133.6021 \nL 147.503596 135.393854 \nL 148.00689 137.119616 \nL 148.348568 138.771477 \nL 148.530338 140.341739 \nL 148.554292 141.822809 \nL 148.422778 143.207102 \nL 148.138339 144.486941 \nL 147.703651 145.654492 \nL 147.121499 146.701686 \nL 146.394795 147.620224 \nL 145.526598 148.401511 \nL 144.520187 149.036684 \nL 143.379148 149.516663 \nL 142.107486 149.832184 \nL 140.709768 149.973919 \nL 139.191281 149.932604 \nL 137.558218 149.699273 \nL 135.817879 149.265465 \nL 133.978879 148.623566 \nL 132.051369 147.767167 \nL 130.047254 146.691536 \nL 127.980394 145.394089 \nL 125.866793 143.874957 \nL 123.724721 142.137577 \nL 121.574784 140.189263 \nL 119.439936 138.041817 \nL 117.345365 135.71199 \nL 115.318272 133.221854 \nL 113.387493 130.599009 \nL 111.582997 127.876515 \nL 109.93523 125.092541 \nL 108.474313 122.289727 \nL 107.229149 119.514148 \nL 106.226395 116.813996 \nL 105.489469 114.237988 \nL 105.037543 111.833592 \nL 104.884674 109.645175 \nL 105.03904 107.712248 \nL 105.502446 106.067942 \nL 106.270102 104.737746 \nL 107.330657 103.738763 \nL 108.666553 103.079408 \nL 110.254626 102.759603 \nL 112.066978 102.771394 \nL 114.071959 103.099946 \nL 116.235286 103.724788 \nL 118.521199 104.621166 \nL 120.893538 105.761416 \nL 123.316737 107.116272 \nL 125.756725 108.656027 \nL 128.181607 110.351463 \nL 130.562191 112.174574 \nL 132.872352 114.099096 \nL 135.089237 116.100829 \nL 137.193303 118.157786 \nL 139.16825 120.25018 \nL 141.000862 122.360394 \nL 142.680771 124.472755 \nL 144.200184 126.573382 \nL 145.553573 128.649932 \nL 146.737347 130.691387 \nL 147.749567 132.687788 \nL 148.58962 134.630063 \nL 149.257961 136.509798 \nL 149.755858 138.319048 \nL 150.085186 140.050199 \nL 150.248238 141.695784 \nL 150.24757 143.248388 \nL 150.085902 144.700525 \nL 149.766016 146.044544 \nL 149.290733 147.272527 \nL 148.662871 148.37626 \nL 147.885276 149.347159 \nL 146.960846 150.176247 \nL 145.892626 150.854176 \nL 144.683894 151.371214 \nL 143.338289 151.717328 \nL 141.859978 151.882263 \nL 140.253826 151.855705 \nL 138.525606 151.627459 \nL 136.682241 151.187717 \nL 134.732028 150.527398 \nL 132.684902 149.638546 \nL 130.552708 148.514828 \nL 128.349428 147.152084 \nL 126.091429 145.548968 \nL 123.797628 143.707619 \nL 121.489635 141.634389 \nL 119.191772 139.340534 \nL 116.931006 136.842843 \nL 114.736739 134.164136 \nL 112.640437 131.333572 \nL 110.675077 128.386676 \nL 108.874457 125.365041 \nL 107.272257 122.315636 \nL 105.901036 119.28967 \nL 104.791079 116.341124 \nL 103.969173 113.52486 \nL 103.457472 110.894563 \nL 103.272385 108.500537 \nL 103.423733 106.387575 \nL 103.914098 104.59314 \nL 104.738528 103.145849 \nL 105.884579 102.06459 \nL 107.33272 101.358168 \nL 109.057044 101.025552 \nL 111.026271 101.056688 \nL 113.20493 101.4337 \nL 115.554688 102.132443 \nL 118.035632 103.124099 \nL 120.60759 104.376856 \nL 123.231249 105.857429 \nL 125.869164 107.532385 \nL 128.48652 109.369203 \nL 131.051714 111.337072 \nL 133.536728 113.407431 \nL 135.9173 115.554285 \nL 138.172948 117.754312 \nL 140.286853 119.986801 \nL 142.245634 122.233531 \nL 144.03905 124.478536 \nL 145.659673 126.707848 \nL 147.102506 128.9092 \nL 148.364621 131.071766 \nL 149.4448 133.185872 \nL 150.343189 135.242771 \nL 151.060997 137.234393 \nL 151.60021 139.153144 \nL 151.963358 140.991737 \nL 152.153304 142.743035 \nL 152.173094 144.399885 \nL 152.025816 145.955008 \nL 151.714527 147.400916 \nL 151.242176 148.729777 \nL 150.611608 149.933377 \nL 149.825553 151.003017 \nL 148.886682 151.92952 \nL 147.797675 152.703156 \nL 146.561322 153.31368 \nL 145.180663 153.750351 \nL 143.65915 154.002026 \nL 142.000844 154.057239 \nL 140.210636 153.90441 \nL 138.294502 153.532092 \nL 136.259763 152.929266 \nL 134.115405 152.085764 \nL 131.872362 150.992781 \nL 129.54383 149.64344 \nL 127.145568 148.033523 \nL 124.696146 146.16224 \nL 122.21716 144.033033 \nL 119.733353 141.654469 \nL 117.272628 139.041038 \nL 114.86591 136.213909 \nL 112.546849 133.201431 \nL 110.351312 130.039415 \nL 108.31667 126.771017 \nL 106.480846 123.446213 \nL 104.881211 120.120713 \nL 103.553253 116.854414 \nL 102.529196 113.709378 \nL 101.836591 110.747401 \nL 101.496951 108.027436 \nL 101.524614 105.602978 \nL 101.925858 103.519655 \nL 102.698368 101.813287 \nL 103.831151 100.508561 \nL 105.304842 99.618354 \nL 107.092469 99.143889 \nL 109.160502 99.075569 \nL 111.470242 99.394353 \nL 113.979326 100.073474 \nL 116.643294 101.080536 \nL 119.417128 102.379444 \nL 122.25662 103.932296 \nL 125.119575 105.701023 \nL 127.966769 107.648697 \nL 130.762635 109.740491 \nL 133.47571 111.944352 \nL 136.078871 114.23132 \nL 138.549349 116.575676 \nL 140.868592 118.95485 \nL 143.021996 121.34924 \nL 144.998561 123.741912 \nL 146.790488 126.118272 \nL 148.392745 128.465738 \nL 149.802624 130.773368 \nL 151.01932 133.031565 \nL 152.043539 135.231782 \nL 152.877136 137.366245 \nL 153.522781 139.427742 \nL 153.983691 141.409376 \nL 154.263385 143.304432 \nL 154.365504 145.106202 \nL 154.293645 146.80783 \nL 154.051262 148.402217 \nL 153.641584 149.881893 \nL 153.067583 151.238933 \nL 152.331967 152.464875 \nL 151.437211 153.550636 \nL 150.385617 154.486488 \nL 149.179418 155.262003 \nL 147.820892 155.866069 \nL 146.312527 156.286914 \nL 144.657207 156.512155 \nL 142.858451 156.528944 \nL 140.920657 156.324145 \nL 138.8494 155.884613 \nL 136.651755 155.197527 \nL 134.336638 154.250858 \nL 131.915175 153.033941 \nL 129.401067 151.538181 \nL 126.810944 149.757873 \nL 124.164696 147.691101 \nL 121.485727 145.340773 \nL 118.801128 142.715648 \nL 116.141731 139.831378 \nL 113.541957 136.711382 \nL 111.039467 133.387552 \nL 108.674611 129.900599 \nL 106.489552 126.299919 \nL 104.527154 122.642967 \nL 102.829627 118.993904 \nL 101.436966 115.42168 \nL 100.385262 111.997515 \nL 99.704996 108.791895 \nL 99.419468 105.871395 \nL 99.543445 103.295501 \nL 100.082145 101.11379 \nL 101.030762 99.363694 \nL 102.374409 98.069098 \nL 104.088676 97.239848 \nL 106.140624 96.872242 \nL 108.490204 96.950254 \nL 111.091969 97.447537 \nL 113.896928 98.329711 \nL 116.854418 99.556864 \nL 119.913852 101.085974 \nL 123.026298 102.873035 \nL 126.145751 104.874921 \nL 129.230122 107.050708 \nL 132.241917 109.362621 \nL 135.148608 111.776604 \nL 137.922746 114.262542 \nL 140.541878 116.794211 \nL 142.988273 119.34908 \nL 145.248542 121.907956 \nL 147.31316 124.454592 \nL 149.17598 126.975244 \nL 150.833691 129.458263 \nL 152.285315 131.89368 \nL 153.531734 134.272864 \nL 154.575233 136.588192 \nL 155.419109 138.832738 \nL 156.067331 141.000083 \nL 156.524236 143.084055 \nL 156.79429 145.078577 \nL 156.88189 146.977486 \nL 156.791207 148.774392 \nL 156.526085 150.462578 \nL 156.089961 152.034863 \nL 155.485843 153.483508 \nL 154.716297 154.800101 \nL 153.783494 155.975513 \nL 152.689277 156.999804 \nL 151.435249 157.862165 \nL 150.022923 158.550911 \nL 148.453867 159.05345 \nL 146.729928 159.356351 \nL 144.853459 159.445419 \nL 142.827604 159.305831 \nL 140.656615 158.922389 \nL 138.346203 158.279871 \nL 135.903938 157.363441 \nL 133.33967 156.159259 \nL 130.665973 154.655209 \nL 127.898571 152.8418 \nL 125.056798 150.713175 \nL 122.163955 148.268323 \nL 119.247608 145.512347 \nL 116.339756 142.457734 \nL 113.476817 139.125623 \nL 110.699398 135.546826 \nL 108.05175 131.762544 \nL 105.580944 127.824583 \nL 103.335696 123.794912 \nL 101.364859 119.744455 \nL 99.715636 115.751033 \nL 98.43157 111.89657 \nL 97.550471 108.263552 \nL 97.102422 104.931145 \nL 97.107972 101.971191 \nL 97.576791 99.444491 \nL 98.506815 97.397857 \nL 99.884072 95.861993 \nL 101.683131 94.850753 \nL 103.868231 94.361464 \nL 106.394913 94.376421 \nL 109.212025 94.865214 \nL 112.263983 95.787663 \nL 115.49306 97.09693 \nL 118.841509 98.742534 \nL 122.25348 100.673075 \nL 125.676609 102.838484 \nL 129.063158 105.191625 \nL 132.370854 107.689478 \nL 135.563299 110.293712 \nL 138.610095 112.970904 \nL 141.4867 115.692414 \nL 144.174071 118.434081 \nL 146.658194 121.17572 \nL 148.929491 123.900627 \nL 150.98222 126.594998 \nL 152.813828 129.247425 \nL 154.424366 131.848417 \nL 155.815903 134.389949 \nL 156.992019 136.865118 \nL 157.957344 139.267797 \nL 158.717156 141.592378 \nL 159.27705 143.833519 \nL 159.642645 145.985992 \nL 159.819379 148.044474 \nL 159.812316 150.003405 \nL 159.626031 151.856879 \nL 159.264513 153.598485 \nL 158.731129 155.221232 \nL 158.028601 156.717412 \nL 157.159032 158.078516 \nL 156.123959 159.295128 \nL 154.924432 160.356841 \nL 153.561136 161.252179 \nL 152.034534 161.96856 \nL 150.345062 162.492248 \nL 148.493347 162.80837 \nL 146.48047 162.900978 \nL 144.308279 162.753195 \nL 141.979751 162.347403 \nL 139.499394 161.665602 \nL 136.873704 160.689876 \nL 134.111663 159.402998 \nL 131.225268 157.789284 \nL 128.230079 155.835572 \nL 125.145765 153.532473 \nL 121.996611 150.875753 \nL 118.811937 147.867931 \nL 115.626374 144.519908 \nL 112.479962 140.852606 \nL 109.417946 136.898391 \nL 106.49028 132.702135 \nL 103.75067 128.321704 \nL 101.25526 123.827603 \nL 99.060848 119.30168 \nL 97.222717 114.834708 \nL 95.79219 110.522942 \nL 94.814042 106.463699 \nL 94.323968 102.750426 \nL 94.346372 99.467596 \nL 94.892612 96.685978 \nL 95.959979 94.458898 \nL 97.531474 92.819743 \nL 99.576456 91.781087 \nL 102.052084 91.335411 \nL 104.905452 91.457266 \nL 108.076128 92.106491 \nL 111.498989 93.232031 \nL 115.107011 94.776003 \nL 118.833872 96.677469 \nL 122.616187 98.875702 \nL 126.395291 101.312723 \nL 130.118519 103.935139 \nL 133.740003 106.695265 \nL 137.221046 109.551566 \nL 140.530085 112.468689 \nL 143.642394 115.417101 \nL 146.539557 118.372534 \nL 149.208809 121.315308 \nL 151.642275 124.229598 \nL 153.83623 127.102774 \nL 155.790319 129.924734 \nL 157.506863 132.68734 \nL 158.990187 135.383962 \nL 160.246052 138.009031 \nL 161.281137 140.557718 \nL 162.102601 143.025646 \nL 162.717732 145.408674 \nL 163.13364 147.702682 \nL 163.357034 149.903424 \nL 163.39403 152.006369 \nL 163.250024 154.006595 \nL 162.929612 155.898646 \nL 162.436533 157.676435 \nL 161.773646 159.333113 \nL 160.942962 160.860973 \nL 159.945674 162.251314 \nL 158.782235 163.494359 \nL 157.452472 164.57911 \nL 155.955697 165.493279 \nL 154.29089 166.223177 \nL 152.456899 166.753657 \nL 150.452679 167.068081 \nL 148.277595 167.148364 \nL 145.931765 166.975035 \nL 143.41646 166.527471 \nL 140.734566 165.784179 \nL 137.89113 164.723306 \nL 134.893931 163.323311 \nL 131.754134 161.563865 \nL 128.486981 159.427027 \nL 125.112471 156.898706 \nL 121.656057 153.970365 \nL 118.149212 150.64102 \nL 114.629907 146.919344 \nL 111.142804 142.825865 \nL 107.739174 138.394942 \nL 104.476375 133.676344 \nL 101.416835 128.736119 \nL 98.626464 123.656421 \nL 96.172503 118.534044 \nL 94.12083 113.477478 \nL 92.532862 108.602464 \nL 91.462259 104.026316 \nL 90.951667 99.861396 \nL 91.029865 96.208403 \nL 91.709541 93.150241 \nL 92.986041 90.747181 \nL 94.837198 89.033963 \nL 97.224319 88.018964 \nL 100.094176 87.685738 \nL 103.381863 87.996241 \nL 107.014198 88.895491 \nL 110.913322 90.316806 \nL 115.000203 92.187117 \nL 119.1978 94.431673 \nL 123.433675 96.978014 \nL 127.641993 99.75883 \nL 131.764834 102.713796 \nL 135.752921 105.790511 \nL 139.5658 108.944686 \nL 143.171581 112.139784 \nL 146.546382 115.346291 \nL 149.673537 118.540836 \nL 152.542686 121.705217 \nL 155.14882 124.825432 \nL 157.491317 127.890853 \nL 159.573043 130.89342 \nL 161.399511 133.827027 \nL 162.978145 136.686971 \nL 164.317617 139.469534 \nL 165.427306 142.171603 \nL 166.316821 144.790442 \nL 166.995635 147.323447 \nL 167.472775 149.767975 \nL 167.756592 152.121193 \nL 167.854581 154.379963 \nL 167.773259 156.540716 \nL 167.518082 158.59937 \nL 167.093393 160.551203 \nL 166.502412 162.39074 \nL 165.747244 164.111647 \nL 164.828913 165.706615 \nL 163.747432 167.167233 \nL 162.501863 168.483816 \nL 161.090438 169.64531 \nL 159.510699 170.639123 \nL 157.759635 171.450973 \nL 155.833909 172.064788 \nL 153.730078 172.462576 \nL 151.444906 172.624382 \nL 148.975702 172.528283 \nL 146.320743 172.15046 \nL 143.479779 171.465463 \nL 140.454613 170.446534 \nL 137.249765 169.066276 \nL 133.873248 167.297492 \nL 130.337385 165.114388 \nL 126.659734 162.494175 \nL 122.863979 159.419024 \nL 118.980851 155.87846 \nL 115.048894 151.872075 \nL 111.115028 147.412506 \nL 107.234812 142.528353 \nL 103.472214 137.266893 \nL 99.898773 131.696017 \nL 96.592032 125.905031 \nL 93.633192 120.003838 \nL 91.103961 114.120111 \nL 89.08271 108.394307 \nL 87.640144 102.972625 \nL 86.834922 97.998431 \nL 86.709529 93.602957 \nL 87.28692 89.896486 \nL 88.568372 86.960962 \nL 90.532801 84.845243 \nL 93.137649 83.56345 \nL 96.321311 83.096482 \nL 100.006738 83.396455 \nL 104.105885 84.393005 \nL 108.524525 86.000642 \nL 113.166871 88.126109 \nL 117.939795 90.674968 \nL 122.756224 93.556825 \nL 127.537709 96.689107 \nL 132.216039 99.999258 \nL 136.734051 103.425741 \nL 141.045738 106.917921 \nL 145.11579 110.435323 \nL 148.918746 113.946467 \nL 152.437905 117.427506 \nL 155.664101 120.860819 \nL 158.594454 124.233758 \nL 161.231143 127.53746 \nL 163.580282 130.765936 \nL 165.650892 133.915227 \nL 167.454009 136.982813 \nL 169.001918 139.967122 \nL 170.307512 142.86716 \nL 171.383769 145.682223 \nL 172.243327 148.411708 \nL 172.898166 151.054939 \nL 173.359347 153.611067 \nL 173.636836 156.078967 \nL 173.739374 158.457139 \nL 173.674392 160.743659 \nL 173.447968 162.936082 \nL 173.064802 165.031358 \nL 172.528226 167.025775 \nL 171.840221 168.914811 \nL 171.00146 170.693058 \nL 170.011353 172.354076 \nL 168.868109 173.890245 \nL 167.568818 175.292615 \nL 166.109538 176.550714 \nL 164.485406 177.652349 \nL 162.690773 178.583431 \nL 160.719374 179.327734 \nL 158.564521 179.866684 \nL 156.219379 180.179191 \nL 153.677265 180.241454 \nL 150.932036 180.026906 \nL 147.978596 179.506185 \nL 144.813458 178.647315 \nL 141.435465 177.416032 \nL 137.846622 175.776467 \nL 134.053085 173.692133 \nL 130.066251 171.127372 \nL 125.903995 168.049388 \nL 121.591969 164.430869 \nL 117.164882 160.253234 \nL 112.667711 155.510511 \nL 108.15664 150.213632 \nL 103.699576 144.394877 \nL 99.376004 138.111979 \nL 95.275983 131.451248 \nL 91.498077 124.528999 \nL 88.146035 117.490388 \nL 85.324327 110.505132 \nL 83.132585 103.759788 \nL 81.659403 97.44685 \nL 80.976062 91.751591 \nL 81.1308 86.83821 \nL 82.14446 82.837109 \nL 84.008084 79.835344 \nL 86.682789 77.871472 \nL 90.102074 76.93563 \nL 94.176196 76.974512 \nL 98.798079 77.900033 \nL 103.850018 79.600124 \nL 109.210423 81.95007 \nL 114.759984 84.822674 \nL 120.386781 88.096499 \nL 125.99005 91.661636 \nL 131.482648 95.423072 \nL 136.792209 99.301917 \nL 141.861288 103.235146 \nL 146.646693 107.174175 \nL 151.118256 111.082926 \nL 155.257267 114.935672 \nL 159.054769 118.714899 \nL 162.509812 122.409388 \nL 165.627815 126.012586 \nL 168.419044 129.52126 \nL 170.897285 132.934445 \nL 173.078698 136.252667 \nL 174.980845 139.477318 \nL 176.621914 142.610277 \nL 178.020075 145.653595 \nL 179.193004 148.609324 \nL 180.157497 151.479371 \nL 180.929205 154.265453 \nL 181.522439 156.96902 \nL 181.950055 159.591246 \nL 182.223369 162.132989 \nL 182.352134 164.594783 \nL 182.344533 166.976809 \nL 182.207202 169.278897 \nL 181.945256 171.500453 \nL 181.562332 173.64043 \nL 181.060635 175.697291 \nL 180.440988 177.668909 \nL 179.702868 179.552489 \nL 178.844452 181.344491 \nL 177.862662 183.040476 \nL 176.753196 184.634987 \nL 175.510572 186.121365 \nL 174.128162 187.491569 \nL 172.598238 188.73594 \nL 170.912029 189.842965 \nL 169.059784 190.798968 \nL 167.030875 191.58781 \nL 164.813921 192.190536 \nL 162.396968 192.585009 \nL 159.767714 192.745527 \nL 156.913837 192.642478 \nL 153.82341 192.24201 \nL 150.485455 191.505806 \nL 146.890629 190.391045 \nL 143.032134 188.850564 \nL 138.906801 186.833454 \nL 134.516446 184.286116 \nL 129.869457 181.154058 \nL 124.98262 177.384524 \nL 119.88318 172.930249 \nL 114.610958 167.754347 \nL 109.22048 161.836422 \nL 103.782807 155.179746 \nL 98.386787 147.819023 \nL 93.139299 139.827886 \nL 88.164118 131.325005 \nL 83.598887 122.477213 \nL 79.59001 113.498016 \nL 76.285341 104.64014 \nL 73.824972 96.181502 \nL 72.330924 88.405248 \nL 71.896799 81.575958 \nL 72.578837 75.915499 \nL 74.389717 71.582526 \nL 77.296177 68.659307 \nL 81.220925 67.14815 \nL 86.048543 66.977702 \nL 91.634554 68.01716 \nL 97.816233 70.095351 \nL 104.423736 73.020974 \nL 111.290285 76.60082 \nL 118.260478 80.654044 \nL 125.196252 85.021625 \nL 131.980493 89.571101 \nL 138.518503 94.197502 \nL 144.737751 98.82171 \nL 150.586397 103.387126 \nL 156.031044 107.855681 \nL 161.054082 112.203821 \nL 165.65094 116.418821 \nL 169.82743 120.495693 \nL 173.597308 124.434655 \nL 176.980136 128.239228 \nL 179.999466 131.914829 \nL 182.681328 135.467793 \nL 185.053014 138.904703 \nL 187.142126 142.232006 \nL 188.975846 145.45575 \nL 190.580406 148.581488 \nL 191.980711 151.614237 \nL 193.200092 154.558481 \nL 195.180785 160.197086 \nL 196.674193 165.524587 \nL 197.804665 170.563171 \nL 198.671947 175.331412 \nL 199.647217 182.011435 \nL 202.312276 202.297576 \nL 203.258897 206.829004 \nL 204.032595 209.634571 \nL 204.957274 212.271124 \nL 206.070606 214.738055 \nL 207.417668 217.030346 \nL 209.053024 219.136639 \nL 211.043108 221.036374 \nL 212.195838 221.898818 \nL 213.468924 222.695477 \nL 214.87526 223.418937 \nL 216.429033 224.059982 \nL 218.145813 224.60722 \nL 220.042653 225.046613 \nL 222.138144 225.36094 \nL 224.452462 225.529134 \nL 227.007369 225.525538 \nL 229.82614 225.319012 \nL 232.933414 224.871949 \nL 236.354906 224.13917 \nL 240.116942 223.066768 \nL 244.245766 221.590945 \nL 248.766517 219.63697 \nL 253.701822 217.118465 \nL 259.069844 213.937275 \nL 264.881728 209.984357 \nL 271.138321 205.142244 \nL 277.826045 199.289744 \nL 284.912003 192.309715 \nL 292.338369 184.100687 \nL 300.016467 174.59288 \nL 307.821082 163.768499 \nL 315.586125 151.685181 \nL 323.10289 138.499655 \nL 330.122664 124.486816 \nL 336.365195 110.047599 \nL 341.534144 95.6987 \nL 345.339374 82.038976 \nL 347.524304 69.69245 \nL 347.894527 59.234988 \nL 346.342612 51.118811 \nL 342.863996 45.612582 \nL 337.560139 42.771935 \nL 330.628111 42.447333 \nL 322.338802 44.324759 \nL 313.008357 47.986643 \nL 302.968203 52.976701 \nL 292.538505 58.855401 \nL 282.007986 65.23829 \nL 271.621355 71.81578 \nL 252.010368 84.705245 \nL 234.696037 96.476667 \nL 220.040974 106.832087 \nL 213.704133 111.495281 \nL 207.989349 115.846283 \nL 202.854732 119.912432 \nL 198.252465 123.720744 \nL 194.131612 127.296183 \nL 190.440249 130.660794 \nL 184.142205 136.829298 \nL 178.971404 142.337959 \nL 168.844852 153.567292 \nL 165.235892 157.060712 \nL 163.424018 158.580368 \nL 161.580172 159.939802 \nL 159.686555 161.130562 \nL 157.727207 162.142738 \nL 155.687929 162.964929 \nL 153.556265 163.584267 \nL 151.321519 163.986444 \nL 148.974836 164.155756 \nL 146.509362 164.075273 \nL 143.920446 163.727023 \nL 141.205922 163.092345 \nL 138.366466 162.152354 \nL 135.406016 160.88856 \nL 132.332232 159.283728 \nL 129.157013 157.322918 \nL 125.897021 154.994798 \nL 122.574187 152.293129 \nL 119.216158 149.218493 \nL 115.856608 145.780115 \nL 112.535352 141.997673 \nL 109.298177 137.90303 \nL 106.196362 133.541487 \nL 103.285727 128.972522 \nL 100.62523 124.269625 \nL 98.275084 119.519042 \nL 96.294441 114.817337 \nL 94.738691 110.267708 \nL 93.656631 105.975211 \nL 93.087631 102.041314 \nL 93.059118 98.558158 \nL 93.584549 95.603288 \nL 94.662224 93.235275 \nL 96.274934 91.490902 \nL 98.390622 90.384116 \nL 100.963915 89.906712 \nL 103.938444 90.030819 \nL 107.249667 90.712439 \nL 110.827963 91.895806 \nL 114.601694 93.517905 \nL 118.500098 95.512627 \nL 122.455688 97.814437 \nL 126.406205 100.36116 \nL 130.296009 103.09593 \nL 134.076884 105.968314 \nL 137.708402 108.934774 \nL 141.157866 111.958585 \nL 144.399936 115.009411 \nL 147.416028 118.062603 \nL 150.193564 121.098452 \nL 152.72516 124.101352 \nL 155.007776 127.059037 \nL 157.041896 129.961908 \nL 158.830764 132.802393 \nL 160.379686 135.574433 \nL 161.695399 138.273069 \nL 162.785538 140.894073 \nL 163.658177 143.43366 \nL 164.321452 145.888271 \nL 164.783261 148.254358 \nL 165.050996 150.528247 \nL 165.131392 152.70599 \nL 165.030365 154.783217 \nL 164.752924 156.755064 \nL 164.303135 158.616016 \nL 163.68408 160.359817 \nL 162.89788 161.979359 \nL 161.945723 163.466543 \nL 160.827941 164.812174 \nL 159.54409 166.005834 \nL 158.093077 167.035762 \nL 156.4733 167.888737 \nL 154.68285 168.549962 \nL 152.719719 169.00303 \nL 150.582088 169.229855 \nL 148.268634 169.21071 \nL 145.77892 168.924331 \nL 143.113848 168.348149 \nL 140.276165 167.458629 \nL 137.271068 166.231877 \nL 134.106857 164.644359 \nL 130.795662 162.67399 \nL 127.354199 160.301494 \nL 123.80457 157.512082 \nL 120.174978 154.297438 \nL 116.500393 150.658 \nL 112.823016 146.605406 \nL 109.192469 142.164926 \nL 105.665583 137.377654 \nL 102.305725 132.302162 \nL 99.181491 127.015204 \nL 96.364775 121.61115 \nL 93.928194 116.199876 \nL 91.941903 110.902882 \nL 90.470016 105.847766 \nL 89.56691 101.161334 \nL 89.273671 96.962083 \nL 89.615115 93.352665 \nL 90.597698 90.413439 \nL 92.208571 88.197807 \nL 94.415921 86.729997 \nL 97.170596 86.005316 \nL 100.408831 85.992915 \nL 104.055746 86.640385 \nL 108.02933 87.8795 \nL 112.244444 89.632305 \nL 116.616578 91.816935 \nL 121.065074 94.35244 \nL 125.515657 97.162637 \nL 129.902241 100.178597 \nL 134.168004 103.340136 \nL 138.265791 106.596218 \nL 142.158018 109.904758 \nL 145.816138 113.231879 \nL 149.219861 116.550912 \nL 152.356155 119.841307 \nL 155.218204 123.087517 \nL 157.804333 126.277969 \nL 160.116994 129.404165 \nL 162.161802 132.459923 \nL 163.946694 135.44075 \nL 165.481171 138.343316 \nL 166.775672 141.165065 \nL 167.841035 143.903899 \nL 168.688052 146.557948 \nL 169.32713 149.125371 \nL 169.768009 151.604202 \nL 170.019553 153.992229 \nL 170.089604 156.286895 \nL 169.984873 158.485175 \nL 169.710879 160.583513 \nL 169.271907 162.577691 \nL 168.671019 164.46275 \nL 167.910058 166.23285 \nL 166.989694 167.881191 \nL 165.909485 169.399817 \nL 164.667945 170.779531 \nL 163.26265 172.009699 \nL 161.690358 173.078099 \nL 159.947162 173.970757 \nL 158.028665 174.67177 \nL 155.930207 175.163177 \nL 153.647142 175.42482 \nL 151.175163 175.434302 \nL 148.510714 175.166954 \nL 145.65146 174.59599 \nL 142.596872 173.692763 \nL 139.348903 172.427252 \nL 135.912761 170.768819 \nL 132.297805 168.687308 \nL 128.51852 166.154513 \nL 124.595528 163.146137 \nL 120.556682 159.644237 \nL 116.438036 155.640102 \nL 112.28468 151.137521 \nL 108.151308 146.156306 \nL 104.102317 140.735616 \nL 100.211324 134.936865 \nL 96.559895 128.845506 \nL 93.235387 122.571232 \nL 90.327826 116.246027 \nL 87.925914 110.019677 \nL 86.112324 104.05273 \nL 84.958627 98.507238 \nL 84.520335 93.536182 \nL 84.832579 89.272712 \nL 85.907009 85.820674 \nL 87.730268 83.247776 \nL 90.264296 81.582254 \nL 93.448485 80.813426 \nL 97.203421 80.895884 \nL 101.435695 81.756346 \nL 106.043371 83.302092 \nL 110.92138 85.429716 \nL 115.966507 88.033063 \nL 121.081547 91.009778 \nL 126.178414 94.266052 \nL 131.180242 97.719464 \nL 136.022437 101.300255 \nL 140.652921 104.951388 \nL 145.031698 108.627676 \nL 149.129926 112.294397 \nL 152.928703 115.925669 \nL 156.417679 119.502834 \nL 159.593639 123.01291 \nL 162.459114 126.447225 \nL 165.021101 129.800313 \nL 167.289899 133.068987 \nL 169.278105 136.251618 \nL 170.999746 139.347602 \nL 172.469571 142.356932 \nL 173.702453 145.279922 \nL 174.71294 148.116982 \nL 175.514875 150.868465 \nL 176.12114 153.534553 \nL 176.543448 156.115187 \nL 176.792207 158.609997 \nL 176.876431 161.018228 \nL 176.803692 163.338716 \nL 176.580094 165.569812 \nL 176.210281 167.709293 \nL 175.697454 169.754335 \nL 175.0434 171.701379 \nL 174.248534 173.546048 \nL 173.311946 175.283028 \nL 172.231458 176.905909 \nL 171.003679 178.407059 \nL 169.624086 179.777415 \nL 168.087099 181.006295 \nL 166.386184 182.081148 \nL 164.513975 182.987357 \nL 162.462428 183.70794 \nL 160.223013 184.223319 \nL 157.78697 184.511043 \nL 155.145604 184.54558 \nL 152.290703 184.298131 \nL 149.215018 183.736558 \nL 145.912885 182.825475 \nL 142.380987 181.52651 \nL 138.619267 179.798927 \nL 134.632008 177.600617 \nL 130.429088 174.889638 \nL 126.02739 171.626362 \nL 121.452336 167.776412 \nL 116.739438 163.314363 \nL 111.935809 158.228292 \nL 107.101401 152.524877 \nL 102.309795 146.234881 \nL 97.648258 139.418346 \nL 93.216786 132.168736 \nL 89.125859 124.615119 \nL 85.492723 116.921246 \nL 82.436169 109.280736 \nL 80.06997 101.907907 \nL 78.495482 95.024559 \nL 77.79405 88.843807 \nL 78.020142 83.553071 \nL 79.196129 79.298511 \nL 81.309544 76.17367 \nL 84.313152 74.213766 \nL 88.128017 73.396745 \nL 92.649056 73.650261 \nL 97.752331 74.863182 \nL 103.303187 76.899266 \nL 109.164232 79.610904 \nL 115.202419 82.85117 \nL 121.294742 86.483044 \nL 127.332233 90.38547 \nL 133.222376 94.456399 \nL 138.89 98.613429 \nL 144.277036 102.792724 \nL 149.34141 106.946835 \nL 154.055376 111.042089 \nL 158.403569 115.055839 \nL 162.380928 118.973929 \nL 165.990705 122.788489 \nL 169.242594 126.496114 \nL 172.151073 130.096441 \nL 174.733956 133.591034 \nL 177.011187 136.982642 \nL 179.003841 140.274573 \nL 180.733324 143.470377 \nL 182.220753 146.573564 \nL 183.486478 149.587473 \nL 184.549743 152.515204 \nL 185.42844 155.359552 \nL 186.138951 158.123035 \nL 186.696065 160.807868 \nL 187.112932 163.415985 \nL 187.570387 168.408523 \nL 187.584445 173.110971 \nL 187.204236 177.529559 \nL 186.456874 181.666051 \nL 185.349338 185.516808 \nL 184.657554 187.332048 \nL 183.86995 189.071203 \nL 182.982307 190.731454 \nL 181.989333 192.309195 \nL 180.884656 193.799866 \nL 179.660838 195.197815 \nL 178.309351 196.496088 \nL 176.820587 197.686195 \nL 175.183858 198.757843 \nL 173.387398 199.698622 \nL 171.4184 200.49365 \nL 169.26307 201.125165 \nL 166.90672 201.572061 \nL 164.333912 201.809408 \nL 161.528694 201.807901 \nL 158.47489 201.533346 \nL 155.156563 200.946131 \nL 151.558611 200.000822 \nL 147.667558 198.64589 \nL 143.472602 196.823753 \nL 138.966957 194.471245 \nL 134.149484 191.520754 \nL 129.026733 187.902269 \nL 123.615316 183.546626 \nL 117.944617 178.390251 \nL 112.059713 172.381645 \nL 106.024309 165.489702 \nL 99.923394 157.713695 \nL 93.865077 149.094244 \nL 87.981167 139.724137 \nL 82.425651 129.757071 \nL 77.370589 119.411906 \nL 72.998876 108.969879 \nL 69.493875 98.762604 \nL 67.026476 89.150247 \nL 65.740727 80.491189 \nL 65.739959 73.107304 \nL 67.075523 67.250469 \nL 69.740106 63.077012 \nL 73.666925 60.63505 \nL 78.735078 59.866851 \nL 84.780093 60.625034 \nL 91.60796 62.698093 \nL 99.010401 65.839647 \nL 106.779335 69.795989 \nL 114.718972 74.328066 \nL 122.654627 79.226222 \nL 130.438158 84.317702 \nL 137.950243 89.468153 \nL 145.100203 94.579074 \nL 151.824033 99.582849 \nL 158.081341 104.436734 \nL 163.85178 109.117013 \nL 169.131364 113.613699 \nL 173.928958 117.926162 \nL 178.263121 122.059716 \nL 182.159377 126.023089 \nL 185.647921 129.826613 \nL 188.761764 133.481046 \nL 191.535254 136.996779 \nL 194.002957 140.383445 \nL 196.19881 143.649668 \nL 198.155527 146.803012 \nL 201.474034 152.796193 \nL 204.184114 158.404101 \nL 207.524474 166.153054 \nL 211.423112 175.321844 \nL 213.410919 179.414055 \nL 215.563086 183.165775 \nL 216.730833 184.907248 \nL 217.975443 186.553824 \nL 219.308807 188.100214 \nL 220.743019 189.539873 \nL 222.290476 190.864799 \nL 223.963956 192.065299 \nL 225.776677 193.129712 \nL 227.742329 194.044114 \nL 229.875073 194.791961 \nL 232.189478 195.353711 \nL 234.700423 195.706421 \nL 237.422912 195.823311 \nL 240.371805 195.673358 \nL 243.561426 195.220909 \nL 247.005028 194.4254 \nL 250.714097 193.241226 \nL 254.697427 191.617883 \nL 258.959978 189.50049 \nL 263.501442 186.830888 \nL 268.314534 183.549488 \nL 273.382994 179.598106 \nL 278.679359 174.923979 \nL 284.162551 169.485174 \nL 289.775521 163.257365 \nL 295.443161 156.24185 \nL 301.07084 148.474353 \nL 306.544015 140.033582 \nL 311.729478 131.048204 \nL 316.478648 121.700476 \nL 320.633274 112.224521 \nL 324.033691 102.897704 \nL 326.529134 94.024403 \nL 327.989346 85.912976 \nL 328.316081 78.8486 \nL 327.452928 73.065999 \nL 325.391853 68.72694 \nL 322.175285 65.90667 \nL 317.893324 64.591622 \nL 312.676493 64.688388 \nL 306.685169 66.041288 \nL 300.097286 68.454727 \nL 293.096032 71.715961 \nL 285.858896 75.615011 \nL 278.548999 79.95945 \nL 271.309152 84.583562 \nL 264.25856 89.352251 \nL 257.491792 94.161062 \nL 251.079551 98.933434 \nL 245.070657 103.61647 \nL 239.494744 108.176306 \nL 234.365274 112.593587 \nL 229.682567 116.859517 \nL 225.436661 120.972543 \nL 221.609874 124.93582 \nL 218.179016 128.755303 \nL 215.11726 132.438364 \nL 212.395636 135.992883 \nL 209.98425 139.426645 \nL 207.853201 142.747013 \nL 205.973274 145.960722 \nL 204.316439 149.07382 \nL 202.856178 152.091679 \nL 200.428033 157.860056 \nL 198.512472 163.297221 \nL 196.961807 168.427496 \nL 195.059553 175.588143 \nL 192.267964 186.205521 \nL 191.07693 190.015655 \nL 189.752045 193.580567 \nL 188.234215 196.896599 \nL 186.461168 199.953187 \nL 185.457825 201.378366 \nL 184.36428 202.730193 \nL 183.170464 204.004021 \nL 181.865542 205.194038 \nL 180.437829 206.293025 \nL 178.874708 207.292113 \nL 177.162569 208.180454 \nL 175.28676 208.944856 \nL 173.231551 209.569355 \nL 170.980142 210.034715 \nL 168.514709 210.317865 \nL 165.816514 210.391265 \nL 162.866103 210.222219 \nL 159.643612 209.772156 \nL 156.129214 208.995896 \nL 152.303774 207.841008 \nL 148.149739 206.247327 \nL 143.652317 204.146777 \nL 138.801057 201.463724 \nL 133.591827 198.116126 \nL 128.029288 194.017834 \nL 122.129868 189.08246 \nL 115.925211 183.229244 \nL 109.465958 176.391331 \nL 102.825622 168.526638 \nL 96.104143 159.631111 \nL 89.430441 149.753523 \nL 82.963234 139.010131 \nL 76.889059 127.596327 \nL 71.416677 115.791861 \nL 66.767211 103.955629 \nL 63.160055 92.507236 \nL 60.795362 81.894685 \nL 59.835231 72.551107 \nL 60.38614 64.847141 \nL 62.485906 59.048381 \nL 66.097544 55.28683 \nL 71.111577 53.552607 \nL 77.3563 53.706896 \nL 84.614109 55.511709 \nL 92.641029 58.668755 \nL 101.18631 62.858658 \nL 110.009447 67.77408 \nL 118.89317 73.142791 \nL 127.651702 78.740158 \nL 136.134666 84.392623 \nL 144.227406 89.974804 \nL 151.848775 95.402696 \nL 158.94731 100.625493 \nL 165.496669 105.617354 \nL 171.49091 110.370084 \nL 176.940005 114.887165 \nL 181.865827 119.179128 \nL 186.298712 123.260226 \nL 190.27461 127.146064 \nL 193.832807 130.852143 \nL 197.014137 134.392926 \nL 199.85963 137.781347 \nL 202.409525 141.028634 \nL 206.775609 147.136067 \nL 210.397733 152.771849 \nL 219.115416 167.10062 \nL 221.916656 171.016096 \nL 223.381749 172.799781 \nL 224.911143 174.459979 \nL 226.519947 175.989432 \nL 228.22273 177.379363 \nL 230.033623 178.619308 \nL 231.966376 179.696894 \nL 234.034384 180.597651 \nL 236.250663 181.304765 \nL 238.62776 181.798857 \nL 241.177613 182.057787 \nL 243.911313 182.056461 \nL 246.838769 181.766748 \nL 249.968282 181.157464 \nL 253.305975 180.194559 \nL 256.855087 178.841497 \nL 260.615116 177.059997 \nL 264.5808 174.81111 \nL 268.740932 172.05689 \nL 273.077077 168.76264 \nL 277.562176 164.899821 \nL 282.159164 160.449725 \nL 286.819706 155.407763 \nL 291.483234 149.788246 \nL 296.076467 143.629254 \nL 300.513693 136.997036 \nL 304.698029 129.989219 \nL 308.52393 122.735928 \nL 311.880988 115.397937 \nL 314.659086 108.161176 \nL 316.754636 101.227479 \nL 318.0774 94.801854 \nL 318.557271 89.077691 \nL 318.150202 84.221603 \nL 316.842479 80.360157 \nL 314.652686 77.570641 \nL 311.631044 75.877112 \nL 307.856204 75.252232 \nL 303.429886 75.624283 \nL 298.470054 76.887781 \nL 293.103549 78.915795 \nL 287.458879 81.572143 \nL 281.659932 84.721901 \nL 275.820943 88.239417 \nL 270.042951 92.013559 \nL 264.411745 95.950346 \nL 258.997083 99.973502 \nL 253.85296 104.023482 \nL 249.018626 108.055577 \nL 244.520108 112.037561 \nL 240.372003 115.947323 \nL 236.579355 119.770555 \nL 233.139491 123.498822 \nL 230.043738 127.127901 \nL 227.278956 130.656473 \nL 224.828867 134.085131 \nL 222.67519 137.415649 \nL 220.798573 140.65044 \nL 219.179344 143.792204 \nL 217.798101 146.843669 \nL 216.636161 149.807468 \nL 215.675903 152.686024 \nL 214.900993 155.481512 \nL 214.296552 158.19582 \nL 213.849243 160.830561 \nL 213.547327 163.387052 \nL 213.38066 165.866313 \nL 213.340692 168.269068 \nL 213.420421 170.595709 \nL 213.614353 172.846304 \nL 213.918451 175.020555 \nL 214.330082 177.117758 \nL 214.847967 179.136747 \nL 215.472132 181.075836 \nL 216.203867 182.932744 \nL 217.045688 184.704495 \nL 218.001308 186.387301 \nL 219.075611 187.976432 \nL 220.274629 189.466054 \nL 221.605523 190.849035 \nL 223.076555 192.116749 \nL 224.697068 193.258797 \nL 226.477441 194.262736 \nL 228.42903 195.11374 \nL 230.564082 195.794259 \nL 232.895613 196.283586 \nL 235.437228 196.557464 \nL 238.20287 196.587612 \nL 241.206478 196.341337 \nL 244.461522 195.781123 \nL 247.980406 194.864379 \nL 251.773661 193.543359 \nL 255.848939 191.76537 \nL 260.209758 189.473437 \nL 264.85394 186.607597 \nL 269.771785 183.106998 \nL 274.943938 178.913108 \nL 280.339045 173.974191 \nL 285.91126 168.251201 \nL 291.597841 161.725137 \nL 297.317158 154.405566 \nL 302.967386 146.339737 \nL 308.426532 137.621106 \nL 313.554185 128.395825 \nL 318.195568 118.865105 \nL 322.188134 109.281642 \nL 325.370655 99.938531 \nL 327.594332 91.150311 \nL 328.734849 83.227743 \nL 328.703829 76.449164 \nL 327.45809 71.033444 \nL 325.005068 67.11917 \nL 321.403454 64.754114 \nL 316.758811 63.896704 \nL 311.214897 64.428385 \nL 304.942066 66.173884 \nL 298.124492 68.924823 \nL 290.947811 72.462563 \nL 283.588615 76.577124 \nL 276.206466 81.080469 \nL 268.93873 85.813996 \nL 261.898061 90.650987 \nL 255.172051 95.495456 \nL 248.824521 100.278645 \nL 242.897855 104.954393 \nL 237.415934 109.494349 \nL 232.387256 113.88347 \nL 227.807993 118.116175 \nL 223.664822 122.193228 \nL 219.937411 126.119379 \nL 216.600559 129.90162 \nL 213.625954 133.547964 \nL 210.983598 137.066645 \nL 208.642923 140.465597 \nL 206.573639 143.752196 \nL 204.74636 146.933128 \nL 203.133039 150.014346 \nL 200.444385 155.89794 \nL 198.318161 161.437556 \nL 196.594165 166.6596 \nL 194.477638 173.940307 \nL 192.001149 182.688548 \nL 190.729425 186.670599 \nL 189.343823 190.395228 \nL 187.779672 193.859005 \nL 185.97091 197.051427 \nL 184.952913 198.540042 \nL 183.846604 199.9523 \nL 182.641823 201.283541 \nL 181.327718 202.527931 \nL 179.892654 203.678259 \nL 178.324145 204.725659 \nL 176.60878 205.659316 \nL 174.732182 206.466116 \nL 172.678979 207.130212 \nL 170.432817 207.63257 \nL 167.976413 207.950414 \nL 165.291672 208.056644 \nL 162.359884 207.919173 \nL 159.162046 207.500279 \nL 155.679304 206.755924 \nL 151.893606 205.635187 \nL 147.788581 204.079858 \nL 143.350689 202.024357 \nL 138.570758 199.39615 \nL 133.445891 196.116958 \nL 127.981843 192.105078 \nL 122.195841 187.279153 \nL 116.119853 181.563861 \nL 109.804125 174.897803 \nL 103.320777 167.243766 \nL 96.767062 158.601135 \nL 90.267646 149.019609 \nL 83.975211 138.612648 \nL 78.068453 127.568062 \nL 72.746715 116.152465 \nL 68.220684 104.706257 \nL 64.699138 93.626404 \nL 62.372698 83.336605 \nL 61.39624 74.247364 \nL 61.872519 66.712205 \nL 63.839852 60.987947 \nL 67.266177 57.207756 \nL 72.050784 55.372321 \nL 78.033476 55.36055 \nL 85.009486 56.955957 \nL 92.747562 59.882038 \nL 101.008326 63.838686 \nL 109.560532 68.53356 \nL 118.193623 73.704559 \nL 126.72603 79.132642 \nL 135.009331 84.646139 \nL 142.929011 90.118885 \nL 150.402693 95.464415 \nL 157.376754 100.628603 \nL 163.822147 105.582049 \nL 169.729967 110.313134 \nL 175.107181 114.82225 \nL 179.97276 119.117333 \nL 184.354336 123.210469 \nL 188.285401 127.115586 \nL 191.803039 130.846887 \nL 194.946141 134.41789 \nL 197.754038 137.840882 \nL 200.26549 141.12666 \nL 202.517966 144.284498 \nL 206.386729 150.245951 \nL 209.620388 155.771258 \nL 217.59895 169.930125 \nL 220.236778 173.838628 \nL 221.628553 175.628847 \nL 223.088829 177.302743 \nL 224.631932 178.853507 \nL 226.271866 180.272857 \nL 228.022394 181.550864 \nL 229.897117 182.675713 \nL 231.909511 183.633476 \nL 234.072909 184.407866 \nL 236.400433 184.979947 \nL 238.904885 185.327883 \nL 241.598518 185.426686 \nL 244.492757 185.24802 \nL 247.597788 184.760071 \nL 250.922021 183.927582 \nL 254.471424 182.712058 \nL 258.24865 181.072278 \nL 262.25203 178.965212 \nL 266.474344 176.347393 \nL 270.901452 173.176993 \nL 275.51073 169.416606 \nL 280.269503 165.036881 \nL 285.13345 160.021019 \nL 290.045215 154.369956 \nL 294.93345 148.108044 \nL 299.712532 141.288618 \nL 304.283233 133.998743 \nL 308.534707 126.362077 \nL 312.347946 118.538871 \nL 315.600826 110.722007 \nL 318.174621 103.128507 \nL 319.961576 95.986634 \nL 320.872829 89.519589 \nL 320.845806 83.927621 \nL 319.850099 79.371334 \nL 317.890954 75.95854 \nL 315.009794 73.737164 \nL 311.281647 72.694883 \nL 306.809841 72.765378 \nL 301.718661 73.839674 \nL 296.145013 75.780212 \nL 290.230002 78.435435 \nL 284.111384 81.652692 \nL 277.917407 85.288477 \nL 271.762323 89.21521 \nL 265.743692 93.324829 \nL 259.941217 97.529842 \nL 254.416851 101.76229 \nL 249.215837 105.971595 \nL 244.368383 110.121853 \nL 239.891675 114.188937 \nL 235.79199 118.157805 \nL 232.066804 122.020128 \nL 228.706732 125.772387 \nL 225.697277 129.414305 \nL 223.020341 132.947667 \nL 220.65551 136.375504 \nL 218.581093 139.701462 \nL 216.774975 142.929423 \nL 215.215267 146.063222 \nL 213.88081 149.106521 \nL 212.751539 152.062708 \nL 211.808739 154.934863 \nL 211.035206 157.725772 \nL 210.41535 160.437896 \nL 209.935229 163.073438 \nL 209.346643 168.122249 \nL 209.190228 172.884776 \nL 209.410811 177.369938 \nL 209.975098 181.582911 \nL 210.869589 185.524521 \nL 212.0989 189.190177 \nL 212.845222 190.916192 \nL 213.684647 192.56811 \nL 214.62245 194.142908 \nL 215.664929 195.636717 \nL 216.819426 197.044678 \nL 218.094333 198.360761 \nL 219.499113 199.577544 \nL 221.044316 200.685971 \nL 222.741584 201.675052 \nL 224.603653 202.531527 \nL 226.64432 203.239462 \nL 228.878398 203.779819 \nL 231.321612 204.129944 \nL 233.990447 204.263027 \nL 236.901899 204.147525 \nL 240.073141 203.74657 \nL 243.521024 203.017425 \nL 247.261425 201.911025 \nL 251.308341 200.371728 \nL 255.672748 198.337399 \nL 260.361106 195.740004 \nL 265.373517 192.506982 \nL 270.701469 188.563666 \nL 276.325208 183.837083 \nL 282.210744 178.26148 \nL 288.306667 171.785802 \nL 294.540993 164.383211 \nL 300.818452 156.062273 \nL 307.018724 146.879107 \nL 312.996342 136.948806 \nL 318.582984 126.45396 \nL 323.592794 115.647446 \nL 327.83121 104.846618 \nL 331.1071 94.416887 \nL 333.247465 84.744604 \nL 334.112997 76.201677 \nL 333.612438 69.10731 \nL 331.713246 63.69367 \nL 328.446635 60.082687 \nL 323.905895 58.278446 \nL 318.238264 58.176223 \nL 311.631756 59.585099 \nL 304.299123 62.258503 \nL 296.461505 65.926072 \nL 288.333747 70.32147 \nL 280.112872 75.202933 \nL 271.970259 80.365537 \nL 264.047484 85.645933 \nL 256.455219 90.92154 \nL 249.274525 96.106066 \nL 242.559623 101.143267 \nL 236.341564 106.000375 \nL 230.632167 110.661862 \nL 225.427919 115.124207 \nL 220.713534 119.391692 \nL 216.465098 123.4732 \nL 212.652724 127.379976 \nL 209.242733 131.124041 \nL 206.199388 134.717195 \nL 203.486245 138.170435 \nL 201.067169 141.493656 \nL 198.90706 144.695507 \nL 195.231377 150.763676 \nL 192.214013 156.421026 \nL 188.466638 164.200438 \nL 185.141815 171.174487 \nL 182.925922 175.378374 \nL 180.571405 179.211593 \nL 179.308156 180.981426 \nL 177.97014 182.647334 \nL 176.544463 184.203325 \nL 175.018225 185.64204 \nL 173.378421 186.954569 \nL 171.611869 188.130201 \nL 169.705159 189.156156 \nL 167.644638 190.017305 \nL 165.41645 190.695839 \nL 163.006609 191.17092 \nL 160.401167 191.418321 \nL 157.586433 191.410103 \nL 154.549321 191.114294 \nL 151.277804 190.494665 \nL 147.761533 189.51065 \nL 143.992624 188.117485 \nL 139.966647 186.266691 \nL 135.683853 183.907011 \nL 131.150634 180.985957 \nL 126.381196 177.452195 \nL 121.399503 173.258859 \nL 116.241265 168.36799 \nL 110.955977 162.756143 \nL 105.608745 156.420988 \nL 100.28161 149.388607 \nL 95.074026 141.720796 \nL 90.102106 133.521245 \nL 85.496186 124.939369 \nL 81.396456 116.170094 \nL 77.946466 107.448334 \nL 75.28478 99.037297 \nL 73.535286 91.210924 \nL 72.797234 84.232077 \nL 73.136146 78.329262 \nL 74.577053 73.675827 \nL 77.101049 70.375043 \nL 80.645872 68.453773 \nL 85.110436 67.8656 \nL 90.362649 68.502119 \nL 96.249358 70.20988 \nL 102.607014 72.809583 \nL 109.271865 76.114278 \nL 116.088542 79.944378 \nL 122.916618 84.138249 \nL 129.634837 88.558315 \nL 136.143218 93.093254 \nL 142.363405 97.657173 \nL 148.23763 102.187017 \nL 153.726805 106.638983 \nL 158.80809 110.984653 \nL 163.472277 115.207361 \nL 167.721172 119.299037 \nL 171.565173 123.257555 \nL 175.021087 127.084726 \nL 178.110262 130.784738 \nL 180.857 134.363077 \nL 183.287274 137.825752 \nL 185.427707 141.17885 \nL 187.304778 144.428188 \nL 188.944225 147.579186 \nL 190.370626 150.636794 \nL 191.6071 153.605477 \nL 192.675134 156.489242 \nL 194.383152 162.016028 \nL 195.631842 167.241859 \nL 196.531825 172.187149 \nL 197.170062 176.869335 \nL 197.778305 183.432379 \nL 198.103786 189.483367 \nL 198.264215 196.824568 \nL 198.189299 204.95235 \nL 197.88012 212.051153 \nL 197.445303 217.074594 \nL 196.972956 220.496135 \nL 196.329776 223.642378 \nL 195.455353 226.52744 \nL 194.703307 228.309545 \nL 193.778576 229.978281 \nL 192.640192 231.529732 \nL 191.237189 232.955099 \nL 189.506245 234.238288 \nL 187.368829 235.352188 \nL 184.727841 236.253028 \nL 183.182156 236.603282 \nL 181.463809 236.871784 \nL 179.553712 237.043854 \nL 177.4309 237.1013 \nL 175.072436 237.021649 \nL 172.453381 236.777226 \nL 169.546806 236.334074 \nL 166.323921 235.650689 \nL 162.754335 234.676613 \nL 158.806516 233.350882 \nL 154.448529 231.600408 \nL 149.64916 229.338455 \nL 144.379527 226.463398 \nL 138.615334 222.858156 \nL 132.339947 218.390824 \nL 125.548409 212.917268 \nL 118.252597 206.286624 \nL 110.487482 198.350945 \nL 102.318396 188.980127 \nL 93.848903 178.083076 \nL 85.228394 165.635118 \nL 76.657999 151.710002 \nL 68.392891 136.512288 \nL 60.738515 120.402723 \nL 54.03859 103.906626 \nL 48.653322 87.694914 \nL 44.928355 72.530922 \nL 43.157727 59.185002 \nL 43.546689 48.330439 \nL 46.182039 40.444311 \nL 51.017061 35.739803 \nL 57.874872 34.148287 \nL 66.46979 35.354225 \nL 76.441446 38.869204 \nL 87.394318 44.122088 \nL 98.93505 50.542295 \nL 110.702182 57.621113 \nL 122.385702 64.945854 \nL 144.568348 79.205637 \nL 180.830543 102.847164 \nL 194.474564 112.021392 \nL 205.470276 119.773702 \nL 214.265224 126.390743 \nL 221.327305 132.094196 \nL 229.611175 139.246839 \nL 236.201057 144.927808 \nL 240.126489 147.928152 \nL 242.031757 149.186165 \nL 243.928275 150.2766 \nL 245.834664 151.193307 \nL 247.766875 151.929091 \nL 249.738299 152.475845 \nL 251.759845 152.824687 \nL 253.83995 152.966183 \nL 255.984575 152.890556 \nL 258.197144 152.58797 \nL 260.478445 152.048885 \nL 262.826499 151.264508 \nL 265.236409 150.227282 \nL 267.700184 148.931504 \nL 270.206573 147.374015 \nL 272.740925 145.554978 \nL 275.285059 143.478676 \nL 277.817258 141.154381 \nL 280.31232 138.597128 \nL 282.741749 135.828407 \nL 285.074144 132.876694 \nL 287.275717 129.777657 \nL 289.311055 126.574069 \nL 291.144063 123.315239 \nL 292.739102 120.05597 \nL 294.062288 116.855034 \nL 295.082841 113.773196 \nL 295.774515 110.870906 \nL 296.116873 108.205773 \nL 296.096436 105.830023 \nL 295.707523 103.788244 \nL 294.952771 102.115463 \nL 293.843243 100.835892 \nL 292.398087 99.962284 \nL 290.643868 99.49608 \nL 288.613482 99.42816 \nL 286.344876 99.740209 \nL 283.879564 100.406414 \nL 281.261107 101.395352 \nL 278.53365 102.671966 \nL 275.74056 104.199358 \nL 272.923278 105.940383 \nL 270.120389 107.858915 \nL 267.36692 109.920812 \nL 264.693919 112.094558 \nL 262.128211 114.351629 \nL 259.692374 116.666595 \nL 257.404867 119.017104 \nL 255.280283 121.383667 \nL 253.329677 123.74941 \nL 251.560959 126.099737 \nL 249.979314 128.422029 \nL 248.587624 130.705276 \nL 247.386882 132.939806 \nL 246.37658 135.116967 \nL 245.555063 137.228898 \nL 244.919843 139.268274 \nL 244.467873 141.228111 \nL 244.195784 143.101607 \nL 244.100073 144.881953 \nL 244.177244 146.562231 \nL 244.423932 148.135269 \nL 244.836956 149.59353 \nL 245.413375 150.929059 \nL 246.150476 152.133356 \nL 247.045746 153.197349 \nL 248.096822 154.111317 \nL 249.301378 154.864883 \nL 250.657012 155.447018 \nL 252.161077 155.846065 \nL 253.810503 156.049815 \nL 255.601564 156.045656 \nL 257.529625 155.820729 \nL 259.588843 155.362242 \nL 261.771871 154.657813 \nL 264.069508 153.695919 \nL 266.470339 152.466506 \nL 268.960397 150.961645 \nL 271.522808 149.176368 \nL 274.137494 147.109557 \nL 276.78092 144.764944 \nL 279.425963 142.152086 \nL 282.041887 139.287381 \nL 284.594508 136.194878 \nL 287.046551 132.906915 \nL 289.358257 129.464368 \nL 291.488242 125.916516 \nL 293.394611 122.320282 \nL 295.036286 118.738909 \nL 296.37456 115.240033 \nL 297.374724 111.893155 \nL 298.007691 108.766768 \nL 298.251527 105.925234 \nL 298.092719 103.425789 \nL 297.527084 101.315842 \nL 296.560238 99.630889 \nL 295.207554 98.393224 \nL 293.493611 97.611575 \nL 291.451194 97.281554 \nL 289.119875 97.386982 \nL 286.544373 97.901779 \nL 283.772732 98.792176 \nL 280.854532 100.019157 \nL 277.839184 101.540769 \nL 274.77445 103.31416 \nL 271.705169 105.297349 \nL 268.67237 107.450481 \nL 265.712587 109.736752 \nL 262.857528 112.122956 \nL 260.133955 114.579657 \nL 257.563776 117.081182 \nL 255.164324 119.60541 \nL 252.948705 122.133464 \nL 250.926269 124.649289 \nL 249.103091 127.139262 \nL 247.482488 129.591793 \nL 246.065497 131.996915 \nL 244.851353 134.345945 \nL 243.837916 136.631195 \nL 243.022054 138.845655 \nL 242.399978 140.982789 \nL 241.967523 143.036311 \nL 241.720403 145.000011 \nL 241.654378 146.867603 \nL 241.765417 148.632571 \nL 242.0498 150.288057 \nL 242.504172 151.826754 \nL 243.125594 153.240781 \nL 243.911511 154.521631 \nL 244.859744 155.660068 \nL 245.96839 156.646068 \nL 247.235736 157.468764 \nL 248.660126 158.116453 \nL 250.239772 158.576571 \nL 251.972567 158.835763 \nL 253.855832 158.879987 \nL 255.88604 158.694677 \nL 258.05849 158.264999 \nL 260.36696 157.576215 \nL 262.803311 156.61413 \nL 265.357077 155.365724 \nL 268.015041 153.819873 \nL 270.7608 151.968278 \nL 273.574352 149.806476 \nL 276.431781 147.335018 \nL 279.304971 144.560708 \nL 282.161503 141.497824 \nL 284.964723 138.169291 \nL 287.674024 134.607588 \nL 290.245448 130.855358 \nL 292.63257 126.965437 \nL 294.787685 123.000271 \nL 296.663365 119.030583 \nL 298.21422 115.133221 \nL 299.398848 111.388288 \nL 300.181861 107.875675 \nL 300.535756 104.671257 \nL 300.442582 101.843078 \nL 299.895168 99.447926 \nL 298.897779 97.528583 \nL 297.466224 96.112094 \nL 295.627237 95.209182 \nL 293.417346 94.81479 \nL 290.881206 94.909667 \nL 288.06958 95.462698 \nL 285.037177 96.433759 \nL 281.840464 97.776719 \nL 278.535632 99.442316 \nL 275.176762 101.38069 \nL 271.814412 103.543437 \nL 268.494499 105.88516 \nL 265.257583 108.364478 \nL 262.138486 110.94454 \nL 259.166219 113.593237 \nL 256.364151 116.28303 \nL 253.750355 118.990622 \nL 251.338095 121.696517 \nL 249.136377 124.384516 \nL 247.150563 127.041179 \nL 245.38297 129.655325 \nL 243.833442 132.217587 \nL 242.499913 134.719999 \nL 241.378891 137.155618 \nL 240.465898 139.518251 \nL 239.755857 141.802166 \nL 239.243408 144.001896 \nL 238.923174 146.112025 \nL 238.78997 148.127037 \nL 238.838972 150.041161 \nL 239.065833 151.848265 \nL 239.466761 153.541698 \nL 240.038561 155.114211 \nL 240.778639 156.557839 \nL 241.684969 157.863805 \nL 242.756046 159.022437 \nL 243.990777 160.02307 \nL 245.388374 160.854 \nL 246.948182 161.502442 \nL 248.669491 161.954509 \nL 250.5513 162.195252 \nL 252.592047 162.20874 \nL 254.789275 161.978243 \nL 257.139288 161.486464 \nL 259.636712 160.715928 \nL 262.274057 159.649512 \nL 265.041212 158.271095 \nL 267.924933 156.566443 \nL 270.908305 154.524263 \nL 273.970231 152.137448 \nL 277.085 149.40449 \nL 280.221888 146.331056 \nL 283.34499 142.931531 \nL 286.413236 139.230536 \nL 289.380685 135.264168 \nL 292.197174 131.080828 \nL 294.809368 126.741397 \nL 297.162193 122.318565 \nL 299.200702 117.895207 \nL 300.872281 113.561691 \nL 302.12904 109.412225 \nL 302.930314 105.54042 \nL 303.245017 102.034465 \nL 303.053627 98.972316 \nL 302.349638 96.417466 \nL 301.140308 94.415685 \nL 299.446592 92.99311 \nL 297.302262 92.155943 \nL 294.752287 91.891552 \nL 291.850666 92.170881 \nL 288.657836 92.951748 \nL 285.237985 94.182583 \nL 281.65638 95.806265 \nL 277.976956 97.763593 \nL 274.260298 99.996263 \nL 270.562047 102.4491 \nL 266.931783 105.07164 \nL 263.412389 107.819021 \nL 260.039805 110.652304 \nL 256.843116 113.538415 \nL 253.844906 116.449738 \nL 251.061807 119.36358 \nL 248.505153 122.261472 \nL 246.181711 125.128533 \nL 244.094414 127.952782 \nL 242.243091 130.724574 \nL 240.625131 133.43604 \nL 239.236106 136.080673 \nL 238.070325 138.652932 \nL 237.121296 141.147904 \nL 236.382136 143.561086 \nL 235.845911 145.888119 \nL 235.505908 148.124633 \nL 235.355838 150.266098 \nL 235.390014 152.307648 \nL 235.603456 154.243999 \nL 235.991964 156.069294 \nL 236.55217 157.777007 \nL 237.281528 159.359823 \nL 238.178286 160.809537 \nL 239.241446 162.116925 \nL 240.470659 163.271646 \nL 241.866124 164.262158 \nL 243.428436 165.075601 \nL 245.158391 165.697744 \nL 247.056782 166.112941 \nL 249.124123 166.304137 \nL 251.360333 166.25294 \nL 253.764365 165.939784 \nL 256.333786 165.344161 \nL 259.064282 164.445064 \nL 261.949115 163.221536 \nL 264.97852 161.653487 \nL 268.139066 159.722688 \nL 271.412983 157.414076 \nL 274.777509 154.7173 \nL 278.204294 151.628508 \nL 281.658904 148.152335 \nL 285.100512 144.303958 \nL 288.481884 140.111079 \nL 291.749683 135.615643 \nL 294.845268 130.874913 \nL 297.705958 125.961799 \nL 300.266888 120.963957 \nL 302.463348 115.981645 \nL 304.233595 111.124079 \nL 305.521973 106.504546 \nL 306.28204 102.234475 \nL 306.479514 98.417091 \nL 306.094703 95.141243 \nL 305.124152 92.476157 \nL 303.581299 90.467737 \nL 301.496081 89.136778 \nL 298.913459 88.479368 \nL 295.891073 88.469199 \nL 292.496214 89.061322 \nL 288.802453 90.196936 \nL 284.886209 91.808426 \nL 280.823519 93.824211 \nL 276.687275 96.172917 \nL 272.544972 98.786624 \nL 268.457087 101.603203 \nL 264.47612 104.567622 \nL 260.646112 107.632547 \nL 257.002685 110.758257 \nL 253.573411 113.912155 \nL 250.378467 117.068018 \nL 247.431447 120.205107 \nL 244.740249 123.307235 \nL 242.308009 126.361925 \nL 240.134001 129.359607 \nL 238.214473 132.292938 \nL 236.543428 135.156221 \nL 235.113289 137.944965 \nL 233.915501 140.655458 \nL 232.941021 143.284494 \nL 232.180734 145.829118 \nL 231.625785 148.286419 \nL 231.267846 150.653383 \nL 231.099317 152.926748 \nL 231.113478 155.102869 \nL 231.304589 157.177635 \nL 231.667955 159.146334 \nL 232.199958 161.003556 \nL 232.898054 162.743074 \nL 233.76075 164.357732 \nL 234.787554 165.839316 \nL 235.978893 167.178413 \nL 237.336028 168.364289 \nL 238.860911 169.384745 \nL 240.556042 170.225995 \nL 242.424267 170.87253 \nL 244.468549 171.307044 \nL 246.691684 171.510346 \nL 249.095967 171.461381 \nL 251.682784 171.137341 \nL 254.452139 170.513824 \nL 257.4021 169.565238 \nL 260.528163 168.265367 \nL 263.822517 166.588179 \nL 267.273268 164.508967 \nL 270.863586 162.005811 \nL 274.570819 159.061444 \nL 278.365659 155.665439 \nL 282.211391 151.816785 \nL 286.063337 147.526663 \nL 289.868598 142.8212 \nL 293.566227 137.744058 \nL 297.087967 132.35831 \nL 300.359666 126.74735 \nL 303.303425 121.014296 \nL 305.840479 115.279564 \nL 307.894782 109.676444 \nL 309.397035 104.344718 \nL 310.288878 99.42278 \nL 310.526815 95.038963 \nL 310.085562 91.303035 \nL 308.960264 88.299018 \nL 307.16741 86.080238 \nL 304.744252 84.667126 \nL 301.746769 84.048103 \nL 298.246478 84.183217 \nL 294.326302 85.009739 \nL 290.076097 86.448893 \nL 285.588191 88.412898 \nL 280.953265 90.811304 \nL 276.256929 93.556291 \nL 271.577106 96.566546 \nL 266.982254 99.769743 \nL 262.530413 103.103771 \nL 258.268938 106.516899 \nL 254.234802 109.967249 \nL 250.455294 113.421807 \nL 246.949011 116.855167 \nL 243.726986 120.248263 \nL 240.793887 123.587089 \nL 238.149183 126.861621 \nL 235.788256 130.064837 \nL 233.703406 133.191911 \nL 231.884753 136.239579 \nL 230.320997 139.205639 \nL 229.000075 142.088545 \nL 227.909702 144.887142 \nL 227.037797 147.600411 \nL 226.372834 150.227301 \nL 225.904106 152.766631 \nL 225.621918 155.216949 \nL 225.517728 157.576434 \nL 225.584241 159.842845 \nL 225.815471 162.013404 \nL 226.206756 164.084736 \nL 226.754771 166.052758 \nL 227.457496 167.912575 \nL 228.31419 169.65836 \nL 229.325335 171.283244 \nL 230.492572 172.779147 \nL 231.818616 174.136626 \nL 233.307158 175.34469 \nL 234.962742 176.390625 \nL 236.790621 177.259807 \nL 238.796564 177.935475 \nL 240.986644 178.398569 \nL 243.366949 178.627579 \nL 245.943248 178.598398 \nL 248.720565 178.284326 \nL 251.702671 177.656117 \nL 254.891467 176.682251 \nL 258.286253 175.329408 \nL 261.88287 173.563219 \nL 265.672719 171.349456 \nL 269.641651 168.655628 \nL 273.768809 165.453128 \nL 278.025388 161.719985 \nL 282.373468 157.444172 \nL 286.764996 152.627376 \nL 291.141086 147.289106 \nL 295.431801 141.470695 \nL 299.556645 135.238765 \nL 303.425929 128.687507 \nL 306.943212 121.938987 \nL 310.008844 115.140958 \nL 312.524603 108.461559 \nL 314.399174 102.080931 \nL 315.553988 96.180243 \nL 315.928993 90.929057 \nL 315.487537 86.472798 \nL 314.219831 82.92178 \nL 312.144476 80.343731 \nL 309.307743 78.760629 \nL 305.780777 78.150267 \nL 301.65497 78.452014 \nL 297.036177 79.575589 \nL 292.03835 81.411272 \nL 286.777375 83.840108 \nL 281.365536 86.742932 \nL 275.907111 90.00739 \nL 270.495135 93.532671 \nL 265.209442 97.232197 \nL 260.115799 101.034385 \nL 255.265982 104.882123 \nL 250.698526 108.731435 \nL 246.439964 112.549601 \nL 242.506316 116.313193 \nL 238.904719 120.006127 \nL 235.63503 123.617968 \nL 232.691374 127.142467 \nL 230.063516 130.576343 \nL 227.738098 133.918356 \nL 225.699694 137.16861 \nL 223.931686 140.328022 \nL 222.416987 143.397926 \nL 221.138627 146.379831 \nL 220.080189 149.275233 \nL 219.226158 152.085497 \nL 218.562173 154.811787 \nL 218.075192 157.45499 \nL 217.753615 160.015706 \nL 217.587349 162.494184 \nL 217.567836 164.890329 \nL 217.688055 167.203644 \nL 217.942509 169.433176 \nL 218.327197 171.577483 \nL 218.839571 173.634573 \nL 219.478499 175.601812 \nL 220.244217 177.475843 \nL 221.138286 179.252478 \nL 222.163544 180.926556 \nL 223.324065 182.491805 \nL 224.625104 183.940646 \nL 226.073044 185.264017 \nL 227.675335 186.451129 \nL 229.44041 187.489208 \nL 231.377595 188.363212 \nL 233.496971 189.05553 \nL 235.809203 189.545645 \nL 238.325322 189.809806 \nL 241.056416 189.820715 \nL 244.013246 189.547247 \nL 247.205759 188.954252 \nL 250.642432 188.002508 \nL 254.329477 186.648892 \nL 258.269861 184.846864 \nL 262.462102 182.547405 \nL 266.898853 179.700538 \nL 271.565286 176.25761 \nL 276.437243 172.174499 \nL 281.479351 167.415817 \nL 286.643098 161.960194 \nL 291.865148 155.806487 \nL 297.066105 148.980603 \nL 302.150092 141.542268 \nL 307.005512 133.590815 \nL 311.507334 125.268646 \nL 315.521236 116.761072 \nL 318.909678 108.291197 \nL 321.539745 100.109132 \nL 323.292177 92.475795 \nL 324.07078 85.642651 \nL 323.810989 79.830078 \nL 322.486388 75.207722 \nL 320.112155 71.880094 \nL 316.744781 69.879992 \nL 312.478129 69.170632 \nL 307.436303 69.655437 \nL 301.76448 71.193399 \nL 295.618838 73.61676 \nL 289.156939 76.748278 \nL 282.529331 80.415676 \nL 275.873153 84.462127 \nL 269.307796 88.75265 \nL 262.93262 93.176627 \nL 256.826392 97.647614 \nL 251.048037 102.101116 \nL 245.638334 106.49142 \nL 240.622121 110.788048 \nL 236.010759 114.972313 \nL 231.804622 119.034246 \nL 227.995421 122.970088 \nL 224.568334 126.780222 \nL 221.503846 130.467672 \nL 218.779316 134.036958 \nL 216.370256 137.493337 \nL 214.251366 140.842265 \nL 212.397342 144.089076 \nL 210.783486 147.238815 \nL 209.38615 150.296127 \nL 208.183052 153.26523 \nL 207.153472 156.149929 \nL 205.540423 161.67951 \nL 204.415257 166.908499 \nL 203.672769 171.856431 \nL 203.231895 176.539858 \nL 203.032585 180.973165 \nL 203.032628 185.169015 \nL 203.204786 189.138632 \nL 203.534444 192.891835 \nL 204.017838 196.436949 \nL 204.660883 199.780521 \nL 205.478564 202.926874 \nL 206.494887 205.87738 \nL 207.743338 208.629368 \nL 209.267834 211.174507 \nL 211.124168 213.496379 \nL 212.197909 214.565404 \nL 213.381882 215.566919 \nL 214.6873 216.494729 \nL 216.126534 217.341136 \nL 217.713185 218.096619 \nL 219.462166 218.749454 \nL 221.389753 219.285295 \nL 223.513639 219.686627 \nL 225.852933 219.932173 \nL 228.428132 219.996167 \nL 231.261011 219.847564 \nL 234.374432 219.449132 \nL 237.792011 218.756494 \nL 241.53761 217.717127 \nL 245.634605 216.269416 \nL 250.104832 214.341898 \nL 254.967177 211.85285 \nL 260.235653 208.710514 \nL 265.916934 204.814369 \nL 272.007235 200.057909 \nL 278.488487 194.333546 \nL 285.32387 187.540286 \nL 292.452847 179.594795 \nL 299.78603 170.446143 \nL 307.200526 160.093947 \nL 314.536687 148.608599 \nL 321.597369 136.150844 \nL 328.151205 122.986477 \nL 333.941074 109.4906 \nL 338.698512 96.135885 \nL 342.163762 83.461284 \nL 344.109735 72.021715 \nL 344.366621 62.325221 \nL 342.842863 54.769553 \nL 339.538282 49.592239 \nL 334.546475 46.846336 \nL 328.045659 46.406804 \nL 320.279936 48.004253 \nL 311.534673 51.275732 \nL 302.110512 55.819676 \nL 292.300001 61.243752 \nL 282.369455 67.199186 \nL 272.54714 73.399703 \nL 263.01757 79.627025 \nL 245.355169 91.599879 \nL 230.033169 102.470468 \nL 223.313792 107.440235 \nL 217.211345 112.109353 \nL 211.69898 116.496309 \nL 206.7401 120.623081 \nL 202.291814 124.512343 \nL 198.307657 128.185655 \nL 194.739681 131.662496 \nL 191.540003 134.959769 \nL 186.060685 141.069844 \nL 181.522146 146.59911 \nL 172.394829 158.121919 \nL 169.024951 161.810885 \nL 167.307422 163.443782 \nL 165.542801 164.926617 \nL 163.713964 166.250784 \nL 161.805148 167.406087 \nL 159.801894 168.380668 \nL 157.691 169.160924 \nL 155.460546 169.731441 \nL 153.099983 170.074912 \nL 150.600273 170.172194 \nL 147.954121 170.002347 \nL 145.156273 169.54283 \nL 142.203922 168.769804 \nL 139.09718 167.65863 \nL 135.839656 166.184591 \nL 132.439113 164.323848 \nL 128.908202 162.054767 \nL 125.265211 159.359556 \nL 121.534839 156.226234 \nL 117.748899 152.650967 \nL 113.946857 148.640613 \nL 110.176176 144.215376 \nL 106.49223 139.411306 \nL 102.957795 134.282356 \nL 99.641944 128.901588 \nL 96.618214 123.36119 \nL 93.962119 117.770824 \nL 91.747972 112.254217 \nL 90.045219 106.94382 \nL 88.914452 101.97391 \nL 88.403568 97.472607 \nL 88.544293 93.553734 \nL 89.349629 90.309385 \nL 90.812422 87.804311 \nL 92.905278 86.072625 \nL 95.581916 85.117361 \nL 98.779729 84.912743 \nL 102.423327 85.408653 \nL 106.428676 86.536616 \nL 110.707368 88.216313 \nL 115.170743 90.361908 \nL 119.73345 92.887625 \nL 124.316335 95.712055 \nL 128.848531 98.761135 \nL 133.268725 101.969979 \nL 137.525778 105.28346 \nL 141.578681 108.656103 \nL 145.396083 112.051364 \nL 148.955491 115.440568 \nL 152.242239 118.801726 \nL 155.248399 122.118335 \nL 157.971637 125.378253 \nL 160.414116 128.572721 \nL 162.581481 131.695521 \nL 164.481939 134.742254 \nL 166.125469 137.709831 \nL 167.523117 140.595999 \nL 168.686426 143.399052 \nL 169.626964 146.117519 \nL 170.355942 148.75 \nL 170.883917 151.295015 \nL 171.220567 153.750866 \nL 171.374525 156.115531 \nL 171.35326 158.386577 \nL 171.163007 160.561077 \nL 170.808724 162.635499 \nL 170.294083 164.60562 \nL 169.621477 166.466429 \nL 168.792053 168.212004 \nL 167.805758 169.835371 \nL 166.661412 171.328393 \nL 165.356778 172.681579 \nL 163.888675 173.88393 \nL 162.253092 174.922787 \nL 160.445355 175.783603 \nL 158.460303 176.449807 \nL 156.292521 176.902599 \nL 153.936622 177.120858 \nL 151.387594 177.081012 \nL 148.64122 176.757058 \nL 145.694585 176.120692 \nL 142.54668 175.141551 \nL 139.199137 173.787764 \nL 135.657044 172.026717 \nL 131.929896 169.826242 \nL 128.032653 167.156234 \nL 123.986858 163.990746 \nL 119.821754 160.310632 \nL 115.575385 156.106726 \nL 111.295487 151.383425 \nL 107.040081 146.162459 \nL 102.877574 140.486603 \nL 98.886173 134.422726 \nL 95.152492 128.063676 \nL 91.769106 121.528321 \nL 88.831116 114.959168 \nL 86.43172 108.517154 \nL 84.657071 102.373644 \nL 83.580747 96.700039 \nL 83.258479 91.656141 \nL 83.723625 87.378458 \nL 84.984065 83.970357 \nL 87.020867 81.495142 \nL 89.789029 79.97332 \nL 93.220168 79.384117 \nL 97.226836 79.67081 \nL 101.707978 80.748769 \nL 106.554829 82.514948 \nL 111.656697 84.857244 \nL 116.906151 87.662958 \nL 122.203196 90.825327 \nL 127.458329 94.248061 \nL 132.594458 97.847939 \nL 137.547749 101.555631 \nL 142.267621 105.315397 \nL 146.716109 109.083873 \nL 150.86671 112.828396 \nL 154.703016 116.525204 \nL 158.217191 120.157649 \nL 161.408451 123.714592 \nL 164.281621 127.189019 \nL 166.84579 130.576887 \nL 169.113148 133.876221 \nL 171.097962 137.086439 \nL 172.81572 140.207808 \nL 174.282427 143.241091 \nL 175.514037 146.187242 \nL 176.526006 149.047254 \nL 177.332958 151.822003 \nL 177.94842 154.512177 \nL 178.384655 157.118196 \nL 178.652534 159.640173 \nL 178.761468 162.077861 \nL 178.719369 164.430612 \nL 178.532639 166.697327 \nL 178.206186 168.876425 \nL 177.743441 170.965738 \nL 177.146402 172.962464 \nL 176.415669 174.863061 \nL 175.550489 176.663153 \nL 174.54881 178.357369 \nL 173.407326 179.93924 \nL 172.121543 181.400983 \nL 170.685838 182.733345 \nL 169.093533 183.925355 \nL 167.336992 184.964102 \nL 165.407732 185.834447 \nL 163.296571 186.518758 \nL 160.993821 186.996599 \nL 158.489519 187.244449 \nL 155.773761 187.23542 \nL 152.83709 186.939054 \nL 149.671021 186.321199 \nL 146.268678 185.344037 \nL 142.625607 183.966355 \nL 138.740735 182.144136 \nL 134.617554 179.83158 \nL 130.265465 176.982738 \nL 125.701335 173.553813 \nL 120.951178 169.506352 \nL 116.051906 164.811315 \nL 111.053011 159.454109 \nL 106.01799 153.440343 \nL 101.025276 146.801973 \nL 96.16836 139.603236 \nL 91.554778 131.945383 \nL 87.303619 123.969128 \nL 83.541401 115.853628 \nL 80.396203 107.810894 \nL 77.990335 100.07521 \nL 76.431996 92.887892 \nL 75.806845 86.478903 \nL 76.170458 81.047501 \nL 77.542771 76.745188 \nL 79.905329 73.663502 \nL 83.201891 71.828811 \nL 87.342286 71.204751 \nL 92.209016 71.701252 \nL 97.665678 73.188369 \nL 103.566028 75.512063 \nL 109.76274 78.509479 \nL 116.114958 82.021901 \nL 122.494128 85.904161 \nL 128.787979 90.030456 \nL 134.902649 94.296845 \nL 140.763281 98.621232 \nL 146.313389 102.941517 \nL 151.513387 107.212914 \nL 156.338603 111.404772 \nL 160.777042 115.497555 \nL 164.827125 119.480064 \nL 168.495527 123.3471 \nL 171.795201 127.097604 \nL 174.743653 130.733188 \nL 177.36147 134.257115 \nL 179.671093 137.673496 \nL 181.695827 140.986795 \nL 183.459061 144.201496 \nL 184.983669 147.321911 \nL 186.291566 150.352047 \nL 187.403397 153.295594 \nL 188.33832 156.155872 \nL 189.113887 158.935888 \nL 190.248794 164.26562 \nL 190.915178 169.303231 \nL 191.19459 174.063564 \nL 191.145315 178.558476 \nL 190.804952 182.797038 \nL 190.192815 186.7854 \nL 189.311864 190.526264 \nL 188.150035 194.017929 \nL 186.680916 197.252773 \nL 185.81897 198.769357 \nL 184.863794 200.215021 \nL 183.807977 201.585989 \nL 182.643121 202.877489 \nL 181.3598 204.083564 \nL 179.94753 205.196856 \nL 178.394718 206.208336 \nL 176.688633 207.106979 \nL 174.815388 207.879413 \nL 172.759941 208.509488 \nL 170.506113 208.977767 \nL 168.036668 209.260993 \nL 165.333448 209.331445 \nL 162.377578 209.156285 \nL 159.149809 208.69684 \nL 155.630985 207.907926 \nL 151.802713 206.737237 \nL 147.648273 205.124902 \nL 143.153829 203.003402 \nL 138.310008 200.297999 \nL 133.113881 196.927979 \nL 127.571448 192.809068 \nL 121.700573 187.857386 \nL 115.534372 181.995404 \nL 109.12491 175.160229 \nL 102.546947 167.314367 \nL 95.901288 158.458742 \nL 89.317128 148.647081 \nL 82.952578 137.999844 \nL 76.992477 126.715079 \nL 71.642558 115.072628 \nL 67.119562 103.428116 \nL 63.637216 92.194081 \nL 61.389169 81.807839 \nL 60.530676 72.689197 \nL 61.161863 65.194638 \nL 63.315417 59.5768 \nL 66.951133 55.957938 \nL 71.958548 54.322962 \nL 78.167226 54.532769 \nL 85.362783 56.35338 \nL 93.305858 59.493541 \nL 101.751054 63.642425 \nL 110.463347 68.501336 \nL 119.230568 73.805733 \nL 127.871329 79.337164 \nL 136.238771 84.926575 \nL 144.220852 90.451482 \nL 151.738184 95.829484 \nL 158.740345 101.010365 \nL 165.201434 105.968228 \nL 171.115505 110.694391 \nL 176.492186 115.191611 \nL 181.352792 119.469638 \nL 185.72695 123.54193 \nL 189.649833 127.42339 \nL 193.159911 131.128887 \nL 196.297208 134.67236 \nL 199.101965 138.066352 \nL 201.613671 141.321777 \nL 205.908257 147.45239 \nL 209.461264 153.120004 \nL 219.28439 169.654974 \nL 222.063565 173.427466 \nL 223.536587 175.139262 \nL 225.085385 176.726427 \nL 226.724426 178.180959 \nL 228.467798 179.49325 \nL 230.32929 180.651882 \nL 232.322434 181.64339 \nL 234.460503 182.452055 \nL 236.756465 183.059641 \nL 239.222849 183.445152 \nL 241.871574 183.584621 \nL 244.713658 183.450933 \nL 247.758849 183.013733 \nL 251.015103 182.239458 \nL 254.487954 181.091586 \nL 258.179712 179.531111 \nL 262.088501 177.517444 \nL 266.207118 175.009718 \nL 270.521746 171.968756 \nL 275.010518 168.359643 \nL 279.642046 164.155136 \nL 284.373958 159.3398 \nL 289.151624 153.914827 \nL 293.907298 147.903207 \nL 298.559806 141.354897 \nL 303.015228 134.351153 \nL 307.168664 127.007286 \nL 310.907411 119.472728 \nL 314.11558 111.92764 \nL 316.68007 104.575368 \nL 318.497528 97.630901 \nL 319.481697 91.306107 \nL 319.570373 85.793334 \nL 318.731032 81.249848 \nL 316.964352 77.785218 \nL 314.305093 75.45395 \nL 310.820094 74.254136 \nL 306.603693 74.132358 \nL 301.771163 74.993279 \nL 296.451092 76.712296 \nL 290.777489 79.148954 \nL 284.882568 82.159248 \nL 278.89071 85.605563 \nL 272.913965 89.363698 \nL 267.049126 93.326871 \nL 261.376352 97.407205 \nL 255.958968 101.535284 \nL 250.844243 105.658421 \nL 246.064826 109.738316 \nL 241.640538 113.748384 \nL 237.580345 117.671282 \nL 233.884335 121.496622 \nL 230.545586 125.219061 \nL 227.551872 128.836778 \nL 224.887145 132.350297 \nL 222.532818 135.761584 \nL 220.468809 139.073415 \nL 218.674412 142.288965 \nL 217.128966 145.411479 \nL 215.812385 148.444113 \nL 214.705542 151.389826 \nL 213.790553 154.251306 \nL 213.050962 157.030968 \nL 212.471862 159.73093 \nL 212.039954 162.353032 \nL 211.743564 164.898838 \nL 211.57263 167.369628 \nL 211.574733 172.089953 \nL 211.996403 176.518748 \nL 212.810389 180.655736 \nL 213.361719 182.613088 \nL 214.010259 184.494516 \nL 214.758218 186.297961 \nL 215.608952 188.020699 \nL 216.566944 189.659234 \nL 217.637786 191.209153 \nL 218.828175 192.664977 \nL 220.145907 194.019975 \nL 221.599867 195.26594 \nL 223.200028 196.392935 \nL 224.957421 197.388998 \nL 226.884106 198.239807 \nL 228.993107 198.928296 \nL 231.298318 199.434226 \nL 233.814356 199.733731 \nL 236.556345 199.798822 \nL 239.539612 199.596885 \nL 242.779263 199.090225 \nL 246.289615 198.235662 \nL 250.083444 196.984313 \nL 254.171005 195.281622 \nL 258.558787 193.067792 \nL 263.247966 190.278844 \nL 268.232524 186.848478 \nL 273.497035 182.711046 \nL 279.014152 177.805893 \nL 284.741867 172.083247 \nL 290.620777 165.511842 \nL 296.571582 158.088045 \nL 302.49326 149.845997 \nL 308.262408 140.867697 \nL 313.734418 131.291456 \nL 318.746995 121.316472 \nL 323.12654 111.201271 \nL 326.697416 101.253922 \nL 329.293768 91.813234 \nL 330.772816 83.221791 \nL 331.02802 75.794159 \nL 330.000225 69.78521 \nL 327.68487 65.364552 \nL 324.133897 62.601898 \nL 319.451987 61.466189 \nL 313.787648 61.837802 \nL 307.320717 63.530491 \nL 300.248157 66.317985 \nL 292.770172 69.960351 \nL 285.078165 74.225996 \nL 277.345615 78.907229 \nL 269.72205 83.829233 \nL 262.330078 88.852984 \nL 255.264914 93.873968 \nL 248.595763 98.818199 \nL 242.368403 103.636874 \nL 236.608434 108.300898 \nL 231.324729 112.795762 \nL 226.512817 117.117173 \nL 222.157987 121.267593 \nL 218.238015 125.253612 \nL 214.725481 129.083989 \nL 211.589677 132.768357 \nL 208.798134 136.31637 \nL 206.317818 139.737177 \nL 204.116027 143.039134 \nL 202.161043 146.229692 \nL 200.422591 149.315374 \nL 197.482988 155.193931 \nL 195.091844 160.710882 \nL 192.158747 168.362591 \nL 188.755569 177.476721 \nL 187.025855 181.580059 \nL 185.154164 185.375899 \nL 183.054917 188.849653 \nL 181.893314 190.458058 \nL 180.642482 191.974895 \nL 179.291062 193.394322 \nL 177.827228 194.709141 \nL 176.238613 195.910562 \nL 174.512237 196.987948 \nL 172.634465 197.928478 \nL 170.590992 198.716815 \nL 168.366864 199.334688 \nL 165.946549 199.76046 \nL 163.314071 199.968641 \nL 160.453232 199.929401 \nL 157.347914 199.608065 \nL 153.982558 198.964664 \nL 150.342764 197.953605 \nL 146.416131 196.523513 \nL 142.193318 194.617421 \nL 137.669403 192.173413 \nL 132.845563 189.125988 \nL 127.73109 185.408332 \nL 122.345741 180.955842 \nL 116.722366 175.711085 \nL 110.909673 169.630429 \nL 104.974944 162.692363 \nL 99.006339 154.90718 \nL 93.114322 146.327355 \nL 87.431642 137.057267 \nL 82.111287 127.260421 \nL 77.321801 117.161836 \nL 73.239693 107.043334 \nL 70.038943 97.229984 \nL 67.878374 88.067614 \nL 66.888089 79.893057 \nL 67.156772 73.001533 \nL 68.721931 67.616529 \nL 71.564683 63.868067 \nL 75.610212 61.783523 \nL 80.733804 61.292498 \nL 86.771546 62.243641 \nL 93.533868 64.429473 \nL 100.819954 67.613629 \nL 108.431059 71.555968 \nL 116.18153 76.032183 \nL 123.906669 80.846661 \nL 131.467457 85.838741 \nL 138.752406 90.883745 \nL 145.677181 95.890268 \nL 152.182601 100.795445 \nL 158.231711 105.559393 \nL 163.80637 110.15979 \nL 168.903778 114.587011 \nL 173.533178 118.840112 \nL 177.712884 122.923708 \nL 181.467717 126.845614 \nL 184.826849 130.615216 \nL 187.822055 134.242329 \nL 190.486326 137.736531 \nL 192.852805 141.106723 \nL 194.953991 144.360936 \nL 196.821176 147.506277 \nL 199.970541 153.494173 \nL 202.516092 159.110018 \nL 204.64221 164.382305 \nL 210.817929 180.352768 \nL 212.674338 184.224697 \nL 214.740206 187.775353 \nL 215.878572 189.423184 \nL 217.101803 190.980544 \nL 218.421183 192.441996 \nL 219.848413 193.800815 \nL 221.395687 195.048773 \nL 223.075774 196.175883 \nL 224.902067 197.170105 \nL 226.888606 198.017008 \nL 229.050077 198.699372 \nL 231.401748 199.196793 \nL 233.959365 199.485194 \nL 236.738964 199.536358 \nL 239.756581 199.317418 \nL 243.027856 198.79041 \nL 246.567461 197.911904 \nL 250.388366 196.632791 \nL 254.500838 194.898338 \nL 258.911214 192.648698 \nL 263.620325 189.819999 \nL 268.621624 186.346297 \nL 273.898951 182.162628 \nL 279.424029 177.209449 \nL 285.153758 171.438648 \nL 291.027498 164.821207 \nL 296.964613 157.356411 \nL 302.862779 149.081891 \nL 308.59746 140.083616 \nL 314.023239 130.503969 \nL 318.977529 120.545908 \nL 323.287169 110.4708 \nL 326.777832 100.588042 \nL 329.285912 91.235669 \nL 330.671769 82.753183 \nL 330.832713 75.44981 \nL 329.713832 69.57338 \nL 327.314752 65.285624 \nL 323.691155 62.648641 \nL 318.950627 61.625018 \nL 313.243519 62.090669 \nL 306.750357 63.857078 \nL 299.667708 66.697877 \nL 292.19448 70.37468 \nL 284.52016 74.658545 \nL 276.815929 79.344986 \nL 269.22891 84.262431 \nL 261.879379 89.274849 \nL 254.860434 94.280246 \nL 248.239444 99.20662 \nL 242.060686 104.006655 \nL 236.348571 108.652278 \nL 231.111083 113.129628 \nL 226.34313 117.434794 \nL 222.029601 121.570408 \nL 218.148052 125.543091 \nL 214.670991 129.361553 \nL 211.567745 133.035333 \nL 208.805968 136.57395 \nL 206.352802 139.986429 \nL 204.175762 143.281013 \nL 202.243374 146.465036 \nL 200.525619 149.544928 \nL 197.622753 155.413869 \nL 195.263829 160.923484 \nL 192.37471 168.568191 \nL 189.03072 177.681081 \nL 187.334112 181.788178 \nL 185.499639 185.591658 \nL 183.443004 189.078062 \nL 182.305128 190.695133 \nL 181.079851 192.222511 \nL 179.755966 193.654644 \nL 178.321809 194.984669 \nL 176.765159 196.204186 \nL 175.073177 197.303002 \nL 173.232354 198.268821 \nL 171.228488 199.086896 \nL 169.046699 199.739631 \nL 166.671479 200.20615 \nL 164.086817 200.461812 \nL 161.276387 200.477705 \nL 158.22385 200.220144 \nL 154.913262 199.650186 \nL 151.329663 198.723254 \nL 147.459848 197.388903 \nL 143.293393 195.590914 \nL 138.823934 193.267793 \nL 134.050795 190.353937 \nL 128.980939 186.78167 \nL 123.631279 182.48446 \nL 118.031271 177.401561 \nL 112.22573 171.484323 \nL 106.277619 164.704218 \nL 100.270542 157.062438 \nL 94.31048 148.600348 \nL 88.526218 139.40976 \nL 83.067817 129.64114 \nL 78.102588 119.50748 \nL 73.80807 109.281442 \nL 70.362069 99.28385 \nL 67.930213 89.862774 \nL 66.652215 81.364682 \nL 66.628606 74.101374 \nL 67.909896 68.318106 \nL 70.490115 64.16905 \nL 74.305903 61.704843 \nL 79.241487 60.874391 \nL 85.138609 61.539718 \nL 91.80986 63.500003 \nL 99.053323 66.519225 \nL 106.6665 70.352645 \nL 114.458064 74.768094 \nL 122.256587 79.560593 \nL 129.915931 84.559981 \nL 137.317729 89.63284 \nL 144.371351 94.6804 \nL 151.012176 99.63398 \nL 157.198734 104.449354 \nL 162.909308 109.101168 \nL 168.138387 113.577831 \nL 172.893277 117.877254 \nL 177.191009 122.003472 \nL 181.055653 125.964146 \nL 184.516063 129.768747 \nL 187.604022 133.42734 \nL 190.352778 136.949817 \nL 192.795909 140.345412 \nL 194.966474 143.622481 \nL 196.896401 146.788427 \nL 200.154072 152.811752 \nL 202.78964 158.456519 \nL 204.992782 163.752092 \nL 210.490187 177.707553 \nL 212.342209 181.734104 \nL 214.366467 185.438357 \nL 215.471003 187.163737 \nL 216.651929 188.799897 \nL 217.920528 190.34207 \nL 219.288381 191.784329 \nL 220.767462 193.119376 \nL 222.370222 194.338316 \nL 224.109659 195.430397 \nL 225.999362 196.382699 \nL 228.053517 197.179792 \nL 230.286886 197.803332 \nL 232.714727 198.231651 \nL 235.352658 198.439288 \nL 238.216423 198.396523 \nL 241.321571 198.068911 \nL 244.682994 197.416882 \nL 248.314285 196.395463 \nL 252.226925 194.954177 \nL 256.429198 193.037314 \nL 260.924852 190.584664 \nL 265.71145 187.532931 \nL 270.778373 183.818114 \nL 276.104569 179.379036 \nL 281.655992 174.162286 \nL 287.382986 168.128755 \nL 293.217744 161.261699 \nL 299.072227 153.576049 \nL 304.836957 145.128171 \nL 310.38126 136.024859 \nL 315.555501 126.429739 \nL 320.195832 116.564868 \nL 324.131729 106.705472 \nL 327.196147 97.166395 \nL 329.237699 88.280131 \nL 330.133514 80.368476 \nL 329.80114 73.711694 \nL 328.207574 68.520472 \nL 325.373932 64.915977 \nL 321.37474 62.921732 \nL 316.331992 62.468635 \nL 310.404869 63.411097 \nL 303.776815 65.550396 \nL 296.6419 68.660433 \nL 289.192102 72.511309 \nL 281.606888 76.887819 \nL 274.045687 81.601714 \nL 266.643359 86.497753 \nL 259.508371 91.454786 \nL 252.723099 96.383335 \nL 246.345681 101.221269 \nL 240.412781 105.928583 \nL 234.942822 110.482276 \nL 229.939307 114.871759 \nL 225.393975 119.095011 \nL 221.289662 123.155551 \nL 217.602795 127.0602 \nL 214.30547 130.817458 \nL 211.36717 134.436387 \nL 208.756119 137.925934 \nL 206.440328 141.294504 \nL 204.388386 144.549757 \nL 202.57002 147.698513 \nL 200.956478 150.746754 \nL 198.237791 156.561826 \nL 196.03914 162.028581 \nL 193.366154 169.627853 \nL 189.548905 180.811102 \nL 187.961108 184.784224 \nL 186.215237 188.468025 \nL 184.23385 191.849625 \nL 183.130181 193.420178 \nL 181.937456 194.905188 \nL 180.644812 196.299297 \nL 179.240829 197.595867 \nL 177.713438 198.786757 \nL 176.049855 199.862044 \nL 174.236529 200.809724 \nL 172.259111 201.615346 \nL 170.102456 202.261609 \nL 167.750673 202.727898 \nL 165.187221 202.98978 \nL 162.395083 203.01846 \nL 159.357049 202.780212 \nL 156.056101 202.235852 \nL 152.475977 201.340242 \nL 148.601919 200.041969 \nL 144.421672 198.283278 \nL 139.92678 196.000436 \nL 135.114198 193.124699 \nL 129.988296 189.584179 \nL 124.563229 185.306906 \nL 118.865685 180.225371 \nL 112.937882 174.282853 \nL 106.840632 167.441707 \nL 100.656218 159.693412 \nL 94.490527 151.069935 \nL 88.474 141.655184 \nL 82.760533 131.594805 \nL 77.523822 121.101752 \nL 72.950443 110.454955 \nL 69.229691 99.988689 \nL 66.54048 90.071456 \nL 65.036561 81.075642 \nL 64.83182 73.341456 \nL 65.988001 67.141339 \nL 68.506859 62.65156 \nL 72.328415 59.936755 \nL 77.335604 58.950355 \nL 83.36464 59.549766 \nL 90.219238 61.522261 \nL 97.686479 64.615432 \nL 105.552027 68.566528 \nL 113.613035 73.126135 \nL 121.687684 78.074411 \nL 129.621179 83.229594 \nL 137.288367 88.450025 \nL 144.593762 93.631746 \nL 151.469615 98.703308 \nL 157.872802 103.619627 \nL 163.781134 108.35573 \nL 169.189538 112.901171 \nL 174.106404 117.255398 \nL 178.550291 121.424152 \nL 182.547077 125.416724 \nL 186.127558 129.244106 \nL 189.325519 132.917675 \nL 192.176192 136.448413 \nL 194.715081 139.84645 \nL 196.977084 143.120838 \nL 198.995874 146.279468 \nL 202.430011 152.27552 \nL 205.250208 157.876779 \nL 208.759372 165.597619 \nL 211.884685 172.542659 \nL 213.975201 176.745363 \nL 216.202682 180.594694 \nL 217.400082 182.380172 \nL 218.669915 184.067538 \nL 220.024578 185.651474 \nL 221.47654 187.125404 \nL 223.038447 188.481308 \nL 224.723208 189.709477 \nL 226.544056 190.798277 \nL 228.514579 191.733828 \nL 230.648713 192.499699 \nL 232.96069 193.076545 \nL 235.464923 193.441723 \nL 238.17583 193.568905 \nL 241.107546 193.42771 \nL 244.273538 192.983374 \nL 247.686075 192.196531 \nL 251.355535 191.023146 \nL 255.289494 189.414742 \nL 259.491618 187.318984 \nL 263.960281 184.680852 \nL 268.686917 181.444506 \nL 273.654144 177.556107 \nL 278.833644 172.967729 \nL 284.183959 167.642556 \nL 289.648348 161.56129 \nL 295.152916 154.729663 \nL 300.605395 147.186454 \nL 305.895004 139.011247 \nL 310.893802 130.330497 \nL 315.459971 121.320383 \nL 319.443386 112.20468 \nL 322.693353 103.246279 \nL 325.068298 94.731893 \nL 326.446501 86.950717 \nL 326.736665 80.169524 \nL 325.88687 74.607891 \nL 323.890507 70.41776 \nL 320.788126 67.671094 \nL 316.66486 66.357782 \nL 311.643747 66.393517 \nL 305.876039 67.635608 \nL 299.529872 69.90323 \nL 292.778877 72.99827 \nL 285.791936 76.723648 \nL 278.725016 80.897257 \nL 271.715453 85.360842 \nL 264.878658 89.984019 \nL 258.306978 94.664756 \nL 252.070224 99.327082 \nL 246.2174 103.91751 \nL 240.779113 108.400794 \nL 235.770359 112.755793 \nL 231.193343 116.971804 \nL 227.040183 121.045413 \nL 223.295345 124.97807 \nL 219.937767 128.774219 \nL 216.942667 132.439967 \nL 214.283018 135.982123 \nL 211.930728 139.407624 \nL 209.85757 142.723136 \nL 208.035866 145.934861 \nL 206.439005 149.048446 \nL 205.041782 152.068966 \nL 202.753728 157.84839 \nL 201.004391 163.303641 \nL 199.654615 168.45911 \nL 198.591179 173.334753 \nL 197.33903 180.159664 \nL 194.93554 194.031742 \nL 193.762006 199.177705 \nL 192.836726 202.358246 \nL 191.751258 205.341172 \nL 190.461332 208.124215 \nL 188.915754 210.699527 \nL 187.054017 213.051314 \nL 185.982503 214.135449 \nL 184.803726 215.152351 \nL 183.50633 216.095992 \nL 182.077867 216.958868 \nL 180.504712 217.731688 \nL 178.77198 218.403025 \nL 176.863461 218.958875 \nL 174.76157 219.382138 \nL 172.447325 219.652033 \nL 169.90038 219.743405 \nL 167.099114 219.625919 \nL 164.020815 219.263187 \nL 160.641996 218.611821 \nL 156.938866 217.620436 \nL 152.888042 216.228712 \nL 148.467549 214.366595 \nL 143.658195 211.953857 \nL 138.445409 208.900251 \nL 132.82163 205.106624 \nL 126.789342 200.467493 \nL 120.36479 194.875659 \nL 113.582354 188.2295 \nL 106.499447 180.443563 \nL 99.201605 171.462783 \nL 91.807206 161.280158 \nL 84.470916 149.956691 \nL 77.384772 137.641081 \nL 70.775425 124.585128 \nL 64.896426 111.149425 \nL 60.014574 97.793871 \nL 56.390597 85.048888 \nL 54.255685 73.467622 \nL 53.786963 63.564546 \nL 55.085908 55.751813 \nL 58.164219 50.287348 \nL 62.940015 47.247234 \nL 69.245574 46.52822 \nL 76.844915 47.878277 \nL 85.457754 50.945463 \nL 94.785376 55.332619 \nL 104.534387 60.646249 \nL 114.435491 66.532504 \nL 124.256026 72.697897 \nL 133.806405 78.916367 \nL 151.557863 90.922189 \nL 167.002567 101.858074 \nL 173.787216 106.864062 \nL 179.954232 111.569239 \nL 185.528713 115.991089 \nL 190.545997 120.151096 \nL 195.048119 124.071761 \nL 199.08101 127.774683 \nL 202.692334 131.279522 \nL 205.929881 134.60342 \nL 211.46878 140.763729 \nL 216.046635 146.341073 \nL 225.197492 157.98794 \nL 228.552489 161.733016 \nL 230.258327 163.396324 \nL 232.008709 164.911487 \nL 233.820975 166.270177 \nL 235.711093 167.462493 \nL 237.693755 168.476881 \nL 239.782411 169.300045 \nL 241.98926 169.916856 \nL 244.325174 170.310323 \nL 246.799568 170.461539 \nL 249.420189 170.349787 \nL 252.192817 169.952637 \nL 255.120904 169.246272 \nL 258.205085 168.205899 \nL 261.442625 166.806438 \nL 264.826775 165.023412 \nL 268.346048 162.834231 \nL 271.983431 160.219713 \nL 275.71564 157.166073 \nL 279.512341 153.667149 \nL 283.335572 149.726994 \nL 287.139345 145.362542 \nL 290.869596 140.606216 \nL 294.464591 135.508145 \nL 297.855898 130.13766 \nL 300.970076 124.583601 \nL 303.731037 118.953076 \nL 306.0631 113.368396 \nL 307.894661 107.962092 \nL 309.162156 102.870221 \nL 309.814047 98.224398 \nL 309.814436 94.143529 \nL 309.145934 90.725965 \nL 307.81134 88.043327 \nL 305.834063 86.136634 \nL 303.257016 85.015253 \nL 300.140273 84.658655 \nL 296.557657 85.020576 \nL 292.592625 86.03485 \nL 288.333901 87.621939 \nL 283.871279 89.695589 \nL 279.291856 92.168592 \nL 274.676963 94.957459 \nL 270.099895 97.985706 \nL 265.62444 101.185926 \nL 261.304173 104.50058 \nL 257.182359 107.882 \nL 253.292374 111.29176 \nL 249.65847 114.699632 \nL 246.296763 118.082378 \nL 243.216361 121.42254 \nL 240.4205 124.707278 \nL 237.90767 127.927322 \nL 235.672673 131.076116 \nL 233.707553 134.149073 \nL 232.002433 137.142987 \nL 230.546241 140.055599 \nL 229.327312 142.885209 \nL 228.333869 145.630424 \nL 227.554441 148.289958 \nL 226.978167 150.862456 \nL 226.595036 153.346362 \nL 226.396071 155.739845 \nL 226.373445 158.040664 \nL 226.52057 160.246099 \nL 226.832142 162.352879 \nL 227.304153 164.357045 \nL 227.933889 166.253894 \nL 228.719908 168.037845 \nL 229.661985 169.702308 \nL 230.761061 171.239554 \nL 232.019163 172.64056 \nL 233.439311 173.894852 \nL 235.025398 174.990315 \nL 236.782048 175.913022 \nL 238.714449 176.647022 \nL 240.828131 177.174211 \nL 243.128705 177.474136 \nL 245.621542 177.523893 \nL 248.31138 177.298088 \nL 251.201845 176.768915 \nL 254.294864 175.906354 \nL 257.589999 174.678591 \nL 261.083627 173.052696 \nL 264.768031 170.995692 \nL 268.63037 168.475994 \nL 272.651561 165.465357 \nL 276.805119 161.941364 \nL 281.056027 157.890487 \nL 285.359728 153.311572 \nL 289.661407 148.219673 \nL 293.895656 142.649912 \nL 297.986793 136.660872 \nL 301.849977 130.337088 \nL 305.393279 123.78979 \nL 308.520839 117.155445 \nL 311.137014 110.591491 \nL 313.151421 104.269119 \nL 314.484444 98.36348 \nL 315.072822 93.042009 \nL 314.87453 88.452429 \nL 313.872562 84.711808 \nL 312.076885 81.898348 \nL 309.524442 80.047173 \nL 306.277015 79.150385 \nL 302.417351 79.161317 \nL 298.043922 80.002091 \nL 293.264978 81.572906 \nL 288.192553 83.761829 \nL 282.936966 86.453796 \nL 277.602202 89.537962 \nL 272.28243 92.91298 \nL 267.059717 96.490232 \nL 262.00283 100.195157 \nL 257.166987 103.967267 \nL 252.594361 107.759115 \nL 248.31509 111.534688 \nL 244.348638 115.267573 \nL 240.705303 118.939139 \nL 237.387773 122.536785 \nL 234.392633 126.052489 \nL 231.711745 129.481548 \nL 229.333505 132.821595 \nL 227.243912 136.071859 \nL 225.427492 139.23254 \nL 223.868051 142.304428 \nL 222.549289 145.288594 \nL 221.455291 148.18618 \nL 220.570889 150.998238 \nL 219.881952 153.725653 \nL 219.375581 156.369066 \nL 219.040248 158.928819 \nL 218.865881 161.404922 \nL 218.843906 163.797003 \nL 218.967268 166.10428 \nL 219.230422 168.325502 \nL 219.629311 170.458878 \nL 220.161336 172.50204 \nL 220.825314 174.451928 \nL 221.621431 176.304715 \nL 222.551203 178.05567 \nL 223.617417 179.699031 \nL 224.824089 181.22785 \nL 226.176397 182.633797 \nL 227.68062 183.906972 \nL 229.34406 185.035656 \nL 231.17494 186.006064 \nL 233.182288 186.80205 \nL 235.375766 187.404824 \nL 237.765485 187.792643 \nL 240.361715 187.940507 \nL 243.17456 187.819902 \nL 246.213488 187.398599 \nL 249.486789 186.640574 \nL 253.000863 185.506095 \nL 256.759335 183.952093 \nL 260.76201 181.932903 \nL 265.003606 179.401491 \nL 269.472284 176.311344 \nL 274.148037 172.619126 \nL 279.000899 168.288261 \nL 283.989163 163.293462 \nL 289.057729 157.626182 \nL 294.136764 151.300757 \nL 299.140999 144.360736 \nL 303.969986 136.884654 \nL 308.509633 128.990256 \nL 312.635343 120.835845 \nL 316.216915 112.617607 \nL 319.125147 104.561966 \nL 321.239848 96.912822 \nL 322.458539 89.914344 \nL 322.704891 83.791343 \nL 321.935827 78.729874 \nL 320.146178 74.861312 \nL 317.370208 72.252432 \nL 313.679602 70.903271 \nL 309.178305 70.752493 \nL 303.994849 71.689156 \nL 298.273315 73.568014 \nL 292.164026 76.225926 \nL 285.814987 79.496795 \nL 279.364852 83.223393 \nL 272.937712 87.265513 \nL 266.639888 91.504371 \nL 260.558451 95.843907 \nL 254.761216 100.209867 \nL 249.297802 104.54737 \nL 244.201432 108.81787 \nL 239.491103 112.995877 \nL 235.17391 117.065947 \nL 231.247342 121.02001 \nL 227.701398 124.855185 \nL 224.520509 128.572063 \nL 221.685178 132.173401 \nL 219.173369 135.663215 \nL 216.961644 139.046104 \nL 215.026073 142.326807 \nL 213.342934 145.509972 \nL 211.889249 148.599966 \nL 210.64317 151.600825 \nL 209.584244 154.516231 \nL 208.693583 157.349495 \nL 207.349828 162.781231 \nL 206.494271 167.916553 \nL 206.035312 172.772193 \nL 205.905221 177.361906 \nL 206.057429 181.69692 \nL 206.463878 185.786012 \nL 207.112775 189.635338 \nL 208.006909 193.247861 \nL 209.162614 196.622421 \nL 210.609389 199.752275 \nL 211.454789 201.221292 \nL 212.390125 202.622942 \nL 213.422984 203.953692 \nL 214.561912 205.209052 \nL 215.816469 206.383401 \nL 217.197273 207.469758 \nL 218.716052 208.459531 \nL 220.385685 209.342201 \nL 222.220239 210.104948 \nL 224.234987 210.732237 \nL 226.446397 211.205319 \nL 228.872083 211.501657 \nL 231.530703 211.594293 \nL 234.441769 211.451146 \nL 237.625358 211.034265 \nL 241.101688 210.299072 \nL 244.890493 209.19366 \nL 249.010167 207.658216 \nL 253.47662 205.624751 \nL 258.301751 203.017306 \nL 263.491506 199.752905 \nL 269.043426 195.743634 \nL 274.943704 190.900223 \nL 281.163693 185.137674 \nL 287.65607 178.383249 \nL 294.350776 170.587229 \nL 301.151247 161.736202 \nL 307.93145 151.868288 \nL 314.534632 141.08857 \nL 320.774711 129.58214 \nL 326.441291 117.621048 \nL 331.309065 105.56111 \nL 335.151674 93.82528 \nL 337.759321 82.87229 \nL 338.958311 73.153131 \nL 338.629578 65.061565 \nL 336.723201 58.888369 \nL 333.26588 54.788975 \nL 328.359861 52.77174 \nL 322.173352 52.708666 \nL 314.924257 54.364553 \nL 306.860199 57.436814 \nL 298.23808 61.59682 \nL 289.306022 66.525292 \nL 280.289464 71.937521 \nL 271.382083 77.597466 \nL 262.741335 83.322067 \nL 254.487836 88.978693 \nL 246.707478 94.478263 \nL 239.45526 99.766786 \nL 232.759985 104.816693 \nL 226.629148 109.619094 \nL 221.053584 114.177518 \nL 216.011658 118.502965 \nL 211.472839 122.610362 \nL 207.400677 126.516108 \nL 203.755181 130.236468 \nL 200.494682 133.786609 \nL 197.577243 137.180086 \nL 194.961693 140.428632 \nL 190.479476 146.528663 \nL 186.755653 152.14528 \nL 177.761371 166.345929 \nL 174.862641 170.189651 \nL 173.346015 171.930303 \nL 171.762894 173.541975 \nL 170.097996 175.016787 \nL 168.336656 176.345266 \nL 166.464741 177.516204 \nL 164.468589 178.516408 \nL 162.33502 179.330548 \nL 160.051373 179.940919 \nL 157.605625 180.327269 \nL 154.98657 180.4666 \nL 152.184094 180.333079 \nL 149.189544 179.898011 \nL 145.996209 179.129946 \nL 142.599939 177.994971 \nL 138.999895 176.457296 \nL 135.199447 174.480154 \nL 131.207229 172.027184 \nL 127.038307 169.064282 \nL 122.715438 165.562124 \nL 118.270389 161.499304 \nL 113.745151 156.86612 \nL 109.192971 151.668859 \nL 104.678979 145.934308 \nL 100.280226 139.714102 \nL 96.084911 133.088209 \nL 92.190512 126.166884 \nL 88.700779 119.090203 \nL 85.721437 112.024549 \nL 83.354785 105.155567 \nL 81.693514 98.677819 \nL 80.814268 92.781796 \nL 80.771637 87.639816 \nL 81.59334 83.392677 \nL 83.277274 80.13896 \nL 85.790848 77.928784 \nL 89.072766 76.762606 \nL 93.037063 76.595325 \nL 97.57879 77.34435 \nL 102.580727 78.900322 \nL 107.920289 81.138677 \nL 113.475959 83.930331 \nL 119.132717 87.150507 \nL 124.786157 90.685195 \nL 130.345266 94.435031 \nL 135.733859 98.316929 \nL 140.890899 102.264085 \nL 145.76998 106.22472 \nL 150.338164 110.160162 \nL 154.57444 114.042671 \nL 158.468013 117.853234 \nL 162.016534 121.579594 \nL 165.224415 125.214501 \nL 168.101252 128.754273 \nL 170.660449 132.197726 \nL 172.918013 135.545272 \nL 174.891552 138.798321 \nL 176.599437 141.95881 \nL 178.060141 145.028906 \nL 179.291719 148.010791 \nL 180.311404 150.906527 \nL 181.135327 153.717974 \nL 181.778296 156.446754 \nL 182.253675 159.094192 \nL 182.573295 161.661319 \nL 182.747416 164.148859 \nL 182.784725 166.557195 \nL 182.69235 168.886365 \nL 182.475886 171.136005 \nL 182.139446 173.305344 \nL 181.685698 175.393131 \nL 181.115916 177.397583 \nL 180.430025 179.316305 \nL 179.626642 181.146189 \nL 178.70312 182.883326 \nL 177.655582 184.522848 \nL 176.478955 186.058783 \nL 175.167011 187.48388 \nL 173.712397 188.789399 \nL 172.106688 189.964863 \nL 170.340438 190.997786 \nL 168.403257 191.873383 \nL 166.283921 192.574206 \nL 163.970514 193.079802 \nL 161.450621 193.366324 \nL 158.711606 193.406141 \nL 155.740961 193.167483 \nL 152.526784 192.614142 \nL 149.058395 191.705301 \nL 145.327121 190.395557 \nL 141.327289 188.635248 \nL 137.057445 186.371209 \nL 132.521826 183.548157 \nL 127.732101 180.110833 \nL 122.70933 176.007165 \nL 117.486114 171.192544 \nL 112.108816 165.635414 \nL 106.63963 159.324022 \nL 101.158258 152.274117 \nL 95.762829 144.536936 \nL 90.56959 136.206497 \nL 85.710983 127.424782 \nL 81.331657 118.383075 \nL 77.582214 109.31792 \nL 74.610833 100.50051 \nL 72.553197 92.21936 \nL 71.521737 84.757673 \nL 71.595494 78.368221 \nL 72.812065 73.24965 \nL 75.162931 69.528508 \nL 78.593018 67.250087 \nL 83.00466 66.379646 \nL 88.265295 66.813016 \nL 94.217791 68.394134 \nL 100.691867 70.935667 \nL 107.515186 74.239198 \nL 114.522913 78.112186 \nL 121.565123 82.380254 \nL 128.511675 86.894358 \nL 135.254797 91.533676 \nL 141.709649 96.205007 \nL 147.81336 100.840051 \nL 153.52308 105.39154 \nL 158.813422 109.829073 \nL 163.673651 114.135078 \nL 168.104911 118.301333 \nL 172.117615 122.326063 \nL 175.729101 126.211719 \nL 178.961625 129.963282 \nL 181.84066 133.587056 \nL 184.393534 137.089873 \nL 186.648317 140.478532 \nL 188.632989 143.759513 \nL 190.374802 146.938804 \nL 191.89983 150.021835 \nL 193.232661 153.013469 \nL 195.411622 158.739407 \nL 197.073665 164.145931 \nL 198.352856 169.256594 \nL 199.35783 174.090789 \nL 200.536428 180.859151 \nL 202.780619 194.624127 \nL 203.870839 199.736192 \nL 204.729719 202.899338 \nL 205.737124 205.870158 \nL 206.934417 208.647879 \nL 208.369441 211.226849 \nL 210.098798 213.594481 \nL 211.094539 214.692496 \nL 212.190323 215.728224 \nL 213.396824 216.696552 \nL 214.725766 217.591075 \nL 216.190007 218.403831 \nL 217.803635 219.124977 \nL 219.582042 219.742393 \nL 221.541991 220.241241 \nL 223.701665 220.603405 \nL 226.080678 220.806863 \nL 228.700029 220.824959 \nL 231.582001 220.62555 \nL 234.749951 220.170087 \nL 238.227944 219.412625 \nL 242.040236 218.298794 \nL 246.210482 216.764844 \nL 250.76064 214.736887 \nL 255.709448 212.130534 \nL 261.070431 208.851238 \nL 266.849289 204.795729 \nL 273.04062 199.855109 \nL 279.623923 193.92018 \nL 286.558961 186.889755 \nL 293.780611 178.682477 \nL 301.193659 169.252473 \nL 308.668158 158.608356 \nL 316.036367 146.834091 \nL 323.092542 134.108693 \nL 329.596967 120.720019 \nL 335.28553 107.066973 \nL 339.88543 93.644472 \nL 343.136482 81.007913 \nL 344.816022 69.718874 \nL 344.763771 60.279502 \nL 342.902169 53.068755 \nL 339.24811 48.295125 \nL 333.913217 45.97725 \nL 327.09247 45.956264 \nL 319.043623 47.934616 \nL 310.061386 51.530107 \nL 300.451101 56.33163 \nL 290.505708 61.945977 \nL 280.488475 68.029809 \nL 270.622267 74.305954 \nL 261.084861 80.566721 \nL 243.486371 92.520191 \nL 228.29103 103.308914 \nL 221.645243 108.22778 \nL 215.617949 112.843602 \nL 210.179385 117.176708 \nL 205.290761 121.250165 \nL 200.907596 125.08718 \nL 196.982328 128.709476 \nL 193.466307 132.136446 \nL 187.470322 138.468357 \nL 182.554364 144.183687 \nL 171.250354 158.087044 \nL 167.833789 161.650787 \nL 166.086008 163.215173 \nL 164.287014 164.624841 \nL 162.420076 165.870634 \nL 160.469875 166.941781 \nL 158.422437 167.825854 \nL 156.265137 168.508685 \nL 153.986729 168.974326 \nL 151.577451 169.205015 \nL 149.029215 169.181262 \nL 146.335845 168.881958 \nL 143.493424 168.284627 \nL 140.500707 167.365831 \nL 137.359627 166.101752 \nL 134.075893 164.469046 \nL 130.659646 162.445925 \nL 127.126174 160.013598 \nL 123.496647 157.158022 \nL 119.798792 153.871967 \nL 116.067513 150.157359 \nL 112.345281 146.027783 \nL 108.682257 141.510922 \nL 105.135985 136.65076 \nL 101.770626 131.509123 \nL 98.655502 126.166274 \nL 95.863051 120.720114 \nL 93.466074 115.283789 \nL 91.534454 109.981501 \nL 90.131476 104.94265 \nL 89.310048 100.294709 \nL 89.109167 96.155498 \nL 89.551011 92.625695 \nL 90.638953 89.782435 \nL 92.356837 87.675035 \nL 94.669498 86.323032 \nL 97.524637 85.717001 \nL 100.855691 85.821628 \nL 104.585529 86.580707 \nL 108.630484 87.923037 \nL 112.904426 89.768641 \nL 117.322476 92.034527 \nL 121.804144 94.639458 \nL 126.275804 97.507558 \nL 130.672357 100.570719 \nL 134.938196 103.769823 \nL 139.027525 107.055068 \nL 142.904152 110.385633 \nL 146.540909 113.728829 \nL 149.918797 117.059089 \nL 153.025972 120.35682 \nL 155.856669 123.607275 \nL 158.410119 126.799568 \nL 160.68953 129.925745 \nL 162.701145 132.980072 \nL 164.453391 135.95838 \nL 165.956149 138.857617 \nL 167.220137 141.675436 \nL 168.256379 144.409901 \nL 169.07578 147.059247 \nL 169.688795 149.621728 \nL 170.105162 152.095447 \nL 170.333704 154.478236 \nL 170.382183 156.76757 \nL 170.257207 158.960451 \nL 169.964166 161.053323 \nL 169.507215 163.041968 \nL 168.889259 164.921418 \nL 168.111984 166.685814 \nL 167.175896 168.328307 \nL 166.080381 169.840913 \nL 164.823784 171.214351 \nL 163.403504 172.437898 \nL 161.816127 173.499239 \nL 160.057567 174.384256 \nL 158.123252 175.076904 \nL 156.008353 175.559019 \nL 153.708058 175.810227 \nL 151.217899 175.807851 \nL 148.534174 175.526919 \nL 145.654422 174.940301 \nL 142.578008 174.018959 \nL 139.306823 172.732462 \nL 135.846059 171.049722 \nL 132.20512 168.940138 \nL 128.398605 166.37509 \nL 124.447367 163.329931 \nL 120.379589 159.786458 \nL 116.231791 155.735886 \nL 112.04968 151.182184 \nL 107.888718 146.145632 \nL 103.814232 140.666256 \nL 99.900893 134.80673 \nL 96.231397 128.654215 \nL 92.894291 122.320511 \nL 89.980751 115.939997 \nL 87.580482 109.664988 \nL 85.776924 103.658481 \nL 84.642079 98.084647 \nL 84.231474 93.097985 \nL 84.579827 88.832379 \nL 85.6979 85.391539 \nL 87.571032 82.842165 \nL 90.159568 81.210699 \nL 93.401112 80.484149 \nL 97.2144 80.614513 \nL 101.504266 81.525896 \nL 106.167202 83.123212 \nL 111.096847 85.301031 \nL 116.189023 87.951693 \nL 121.345876 90.971831 \nL 126.478999 94.267025 \nL 131.51148 97.754683 \nL 136.378902 101.36515 \nL 141.029544 105.041687 \nL 145.42388 108.739524 \nL 149.533618 112.424417 \nL 153.340437 116.07099 \nL 156.834575 119.661053 \nL 160.013378 123.182042 \nL 162.879918 126.625676 \nL 165.441675 129.986825 \nL 167.709392 133.262587 \nL 169.696046 136.45158 \nL 171.416009 139.553403 \nL 172.884314 142.568228 \nL 174.116086 145.496521 \nL 175.126075 148.338818 \nL 175.928305 151.095596 \nL 176.535802 153.767159 \nL 176.960398 156.353555 \nL 177.212604 158.854527 \nL 177.301514 161.269435 \nL 177.234775 163.597231 \nL 177.018549 165.836378 \nL 176.657532 167.984807 \nL 176.154966 170.039836 \nL 175.512676 171.99808 \nL 174.731106 173.855341 \nL 173.809369 175.606506 \nL 172.745298 177.245403 \nL 171.535511 178.764649 \nL 170.175468 180.155448 \nL 168.659562 181.407427 \nL 166.981203 182.508375 \nL 165.132941 183.444026 \nL 163.106609 184.197787 \nL 160.893502 184.75047 \nL 158.484616 185.080023 \nL 155.870945 185.161298 \nL 153.043857 184.965848 \nL 149.995579 184.46182 \nL 146.719782 183.613983 \nL 143.212322 182.383949 \nL 139.472136 180.730724 \nL 135.502302 178.611581 \nL 131.311274 175.983517 \nL 126.914297 172.805294 \nL 122.334956 169.040224 \nL 117.60675 164.659831 \nL 112.774689 159.648272 \nL 107.896639 154.007511 \nL 103.044254 147.762884 \nL 98.303232 140.968575 \nL 93.772598 133.712212 \nL 89.562711 126.117595 \nL 85.791763 118.344555 \nL 82.580778 110.584851 \nL 80.047122 103.05369 \nL 78.297045 95.976885 \nL 77.417848 89.574707 \nL 77.470649 84.044325 \nL 78.48464 79.543385 \nL 80.453746 76.177295 \nL 83.336152 73.992302 \nL 87.056936 72.9753 \nL 91.513337 73.060142 \nL 96.581999 74.138749 \nL 102.127248 76.075053 \nL 108.009337 78.719247 \nL 114.091903 81.920556 \nL 120.248023 85.537223 \nL 126.364626 89.44316 \nL 132.345141 93.531546 \nL 138.110649 97.715763 \nL 143.599771 101.928445 \nL 148.76764 106.119397 \nL 153.584268 110.252875 \nL 158.032541 114.304782 \nL 162.106145 118.260018 \nL 165.807487 122.110141 \nL 169.145768 125.851468 \nL 172.135265 129.483561 \nL 174.793824 133.00805 \nL 177.1416 136.427799 \nL 179.200011 139.746316 \nL 180.990908 142.967351 \nL 182.535921 146.094625 \nL 183.855957 149.131695 \nL 184.970838 152.081853 \nL 185.899049 154.948094 \nL 186.657567 157.733117 \nL 187.261771 160.439308 \nL 187.725392 163.068793 \nL 188.277622 168.104773 \nL 188.391856 172.852933 \nL 188.12161 177.321326 \nL 187.498411 181.514033 \nL 186.533816 185.430425 \nL 185.221015 189.063954 \nL 184.427163 190.770503 \nL 183.535901 192.400147 \nL 182.541594 193.949365 \nL 181.437556 195.413703 \nL 180.216047 196.787613 \nL 178.868256 198.064256 \nL 177.384288 199.235275 \nL 175.753168 200.290506 \nL 173.962827 201.217672 \nL 172.000135 202.002021 \nL 169.85094 202.625895 \nL 167.500153 203.068284 \nL 164.931882 203.304286 \nL 162.129641 203.304572 \nL 159.076655 203.03482 \nL 155.756281 202.455151 \nL 152.152604 201.519671 \nL 148.251219 200.176135 \nL 144.040276 198.365917 \nL 139.511797 196.024403 \nL 134.663361 193.082025 \nL 129.500148 189.46623 \nL 124.037361 185.104668 \nL 118.303044 179.929901 \nL 112.341098 173.885971 \nL 106.214413 166.936878 \nL 100.007685 159.076897 \nL 93.829541 150.342116 \nL 87.81333 140.821956 \nL 82.115842 130.668769 \nL 76.913348 120.103046 \nL 72.394332 109.411281 \nL 68.748955 98.934292 \nL 66.155612 89.045048 \nL 64.765944 80.117134 \nL 64.690125 72.488186 \nL 65.984797 66.42429 \nL 68.645715 62.092291 \nL 72.606589 59.54574 \nL 77.744404 58.726869 \nL 83.89037 59.483315 \nL 90.844535 61.594989 \nL 98.391836 64.805073 \nL 106.317289 68.849139 \nL 114.418678 73.478478 \nL 122.515787 78.475519 \nL 130.456063 83.661628 \nL 138.116947 88.89862 \nL 145.405618 94.085874 \nL 152.256892 99.154898 \nL 158.629985 104.06307 \nL 164.504756 108.787345 \nL 169.877859 113.318725 \nL 174.759096 117.657708 \nL 179.168149 121.810722 \nL 183.131753 125.787536 \nL 186.681346 129.599396 \nL 189.851166 133.257817 \nL 192.676747 136.773827 \nL 195.193779 140.157535 \nL 197.437255 143.41794 \nL 199.440873 146.562861 \nL 202.854621 152.531974 \nL 205.667275 158.106275 \nL 209.187927 165.784837 \nL 212.350871 172.682428 \nL 214.480901 176.848521 \nL 216.759839 180.65524 \nL 217.987653 182.416454 \nL 219.291171 184.07711 \nL 220.682912 185.631475 \nL 222.17548 187.072489 \nL 223.781658 188.391567 \nL 225.514491 189.578364 \nL 227.387331 190.620512 \nL 229.413862 191.503302 \nL 231.608074 192.209366 \nL 233.984196 192.718306 \nL 236.556559 193.006335 \nL 239.33937 193.045876 \nL 242.346416 192.805223 \nL 245.590614 192.248263 \nL 249.083434 191.334308 \nL 252.834134 190.01813 \nL 256.848796 188.250324 \nL 261.129127 185.97808 \nL 265.670999 183.146586 \nL 270.462739 179.701216 \nL 275.483188 175.590699 \nL 280.699567 170.771414 \nL 286.065327 165.212976 \nL 291.518089 158.904961 \nL 296.978044 151.86452 \nL 302.347089 144.144299 \nL 307.509202 135.839539 \nL 312.332444 127.093054 \nL 316.672999 118.0964 \nL 320.38142 109.08561 \nL 323.311045 100.330443 \nL 325.327959 92.11708 \nL 326.321643 84.725621 \nL 326.214956 78.405271 \nL 324.972008 73.351109 \nL 322.602654 69.686497 \nL 319.162802 67.454362 \nL 314.750384 66.618625 \nL 309.497661 67.074889 \nL 303.560991 68.667854 \nL 297.109505 71.211638 \nL 290.314188 74.509732 \nL 283.338429 78.371617 \nL 276.33075 82.624822 \nL 269.420017 87.121985 \nL 262.712923 91.743597 \nL 256.293445 96.397434 \nL 250.223797 101.015879 \nL 244.546375 105.552067 \nL 239.28629 109.975797 \nL 234.454144 114.269544 \nL 230.048773 118.425038 \nL 226.059842 122.4404 \nL 222.470148 126.317949 \nL 219.257624 130.06251 \nL 216.397007 133.680246 \nL 213.861205 137.177844 \nL 211.622385 140.561992 \nL 209.652809 143.839061 \nL 207.925464 147.014956 \nL 206.414506 150.095039 \nL 205.095571 153.084108 \nL 202.944745 158.805896 \nL 201.312653 164.209367 \nL 200.0668 169.31796 \nL 199.100098 174.15104 \nL 197.991689 180.919678 \nL 195.409327 198.166817 \nL 194.371732 203.008692 \nL 193.538026 206.004681 \nL 192.550337 208.818289 \nL 191.368492 211.448432 \nL 189.945173 213.889183 \nL 188.223716 216.1277 \nL 187.230326 217.164482 \nL 186.135663 218.141134 \nL 184.928882 219.052479 \nL 183.598053 219.892041 \nL 182.130057 220.651755 \nL 180.510505 221.321634 \nL 178.723653 221.889377 \nL 176.752321 222.339889 \nL 174.577852 222.654718 \nL 172.180091 222.811392 \nL 169.537418 222.782652 \nL 166.626864 222.535575 \nL 163.42431 222.030599 \nL 159.904855 221.220468 \nL 156.04335 220.049148 \nL 151.815214 218.450807 \nL 147.197566 216.348988 \nL 142.170789 213.656195 \nL 136.720633 210.274208 \nL 130.840922 206.095567 \nL 124.537006 201.006782 \nL 117.829937 194.893974 \nL 110.761375 187.651624 \nL 103.399024 179.195147 \nL 95.842095 169.477514 \nL 88.226216 158.509481 \nL 80.726579 146.381748 \nL 73.55807 133.28572 \nL 66.970778 119.527742 \nL 61.239617 105.530575 \nL 56.64737 91.816134 \nL 53.461903 78.966296 \nL 51.909762 67.563796 \nL 52.150191 58.122173 \nL 54.25431 51.019106 \nL 58.193945 46.448872 \nL 63.842676 44.405634 \nL 70.989154 44.700455 \nL 79.359743 47.005566 \nL 88.646077 50.912858 \nL 98.532488 55.992375 \nL 108.719467 61.839881 \nL 118.940752 68.107974 \nL 128.973495 74.520721 \nL 147.817522 87.033422 \nL 164.377243 98.468508 \nL 178.354684 108.57914 \nL 184.390692 113.156176 \nL 189.831332 117.443035 \nL 194.718099 121.464722 \nL 199.097692 125.245771 \nL 203.019457 128.80878 \nL 206.533454 132.173678 \nL 212.533926 138.373899 \nL 217.470213 143.947198 \nL 227.198708 155.446445 \nL 230.69854 159.08657 \nL 232.463687 160.687968 \nL 234.26565 162.134878 \nL 236.122212 163.418932 \nL 238.049511 164.53024 \nL 240.06215 165.457325 \nL 242.173214 166.187109 \nL 244.394262 166.704863 \nL 246.735254 166.994238 \nL 249.204397 167.037289 \nL 251.807942 166.814661 \nL 254.549902 166.305807 \nL 257.43168 165.489349 \nL 260.451623 164.343671 \nL 263.604512 162.847634 \nL 266.880973 160.981607 \nL 270.266859 158.728732 \nL 273.74261 156.076477 \nL 277.282644 153.018477 \nL 280.854831 149.556604 \nL 284.420165 145.703133 \nL 287.932641 141.482953 \nL 291.339507 136.93547 \nL 294.581974 132.116032 \nL 297.596415 127.096516 \nL 300.316186 121.9648 \nL 302.674002 116.822782 \nL 304.604805 111.782957 \nL 306.04903 106.963462 \nL 306.955939 102.481981 \nL 307.286864 98.448991 \nL 307.017923 94.961084 \nL 306.141995 92.095044 \nL 304.669638 89.903545 \nL 302.628895 88.412879 \nL 300.063952 87.62295 \nL 297.032803 87.509375 \nL 293.604141 88.027397 \nL 289.853816 89.11684 \nL 285.861178 90.707536 \nL 281.705637 92.72456 \nL 277.463621 95.092803 \nL 273.206127 97.740584 \nL 268.996952 100.602217 \nL 264.891575 103.619513 \nL 260.936608 106.742475 \nL 257.169798 109.929255 \nL 253.620391 113.145635 \nL 250.309807 116.364199 \nL 247.252484 119.563418 \nL 244.456821 122.726627 \nL 241.926155 125.841118 \nL 239.659721 128.897276 \nL 237.653543 131.887861 \nL 235.901245 134.80737 \nL 234.394769 137.651575 \nL 233.125004 140.41708 \nL 232.082304 143.101025 \nL 231.256934 145.700824 \nL 230.639414 148.213968 \nL 230.220809 150.637844 \nL 229.992935 152.969627 \nL 229.948518 155.206132 \nL 230.081312 157.343723 \nL 230.386163 159.378215 \nL 230.859048 161.304731 \nL 231.497079 163.117634 \nL 232.298493 164.81039 \nL 233.262594 166.375453 \nL 234.389704 167.804104 \nL 235.681068 169.086356 \nL 237.138739 170.210771 \nL 238.76545 171.164337 \nL 240.564429 171.932316 \nL 242.539202 172.498101 \nL 244.69333 172.843156 \nL 247.03011 172.946915 \nL 249.5522 172.786836 \nL 252.26119 172.338489 \nL 255.157059 171.575814 \nL 258.237594 170.471556 \nL 261.497675 168.997917 \nL 264.928494 167.127511 \nL 268.516685 164.834667 \nL 272.243416 162.097102 \nL 276.083428 158.898007 \nL 280.004179 155.228558 \nL 283.96506 151.090759 \nL 287.916872 146.500445 \nL 291.801675 141.490279 \nL 295.553116 136.112344 \nL 299.097438 130.43995 \nL 302.355221 124.568119 \nL 305.243954 118.612352 \nL 307.681417 112.705254 \nL 309.589703 106.991002 \nL 310.899643 101.617741 \nL 311.555273 96.728619 \nL 311.517893 92.452328 \nL 310.769194 88.894346 \nL 309.313148 86.129975 \nL 307.176318 84.200216 \nL 304.406578 83.110868 \nL 301.070346 82.834896 \nL 297.248628 83.317412 \nL 293.032397 84.482503 \nL 288.517726 86.24086 \nL 283.801114 88.497092 \nL 278.975437 91.156111 \nL 274.126677 94.128133 \nL 269.331567 97.332017 \nL 264.656191 100.697248 \nL 260.155335 104.16454 \nL 255.872557 107.685567 \nL 251.840783 111.222047 \nL 248.083225 114.744467 \nL 244.614549 118.230675 \nL 241.442129 121.664475 \nL 238.567321 125.034361 \nL 235.986673 128.332417 \nL 233.693046 131.553338 \nL 231.676612 134.693738 \nL 229.925736 137.751499 \nL 228.427703 140.725342 \nL 227.16934 143.614506 \nL 226.137514 146.418446 \nL 225.319533 149.136656 \nL 224.703446 151.768554 \nL 224.278285 154.31334 \nL 224.03423 156.769916 \nL 223.962718 159.136814 \nL 224.056528 161.412105 \nL 224.309807 163.593339 \nL 224.718094 165.677454 \nL 225.278306 167.6607 \nL 225.988709 169.538528 \nL 226.848884 171.30547 \nL 227.859674 172.955023 \nL 229.023116 174.479477 \nL 230.342371 175.869771 \nL 231.821625 177.115306 \nL 233.465983 178.203729 \nL 235.281329 179.12075 \nL 237.274165 179.849905 \nL 239.451397 180.372343 \nL 241.820075 180.666639 \nL 244.387086 180.708612 \nL 247.158743 180.471255 \nL 250.140295 179.924721 \nL 253.335333 179.03648 \nL 256.745063 177.771685 \nL 260.367458 176.093858 \nL 264.196252 173.965882 \nL 268.219805 171.351555 \nL 272.419862 168.217613 \nL 276.770223 164.536469 \nL 281.235419 160.289541 \nL 285.769508 155.471228 \nL 290.315094 150.093332 \nL 294.802863 144.189582 \nL 299.151712 137.819828 \nL 303.269856 131.073197 \nL 307.056978 124.069386 \nL 310.407668 116.957381 \nL 313.216075 109.910863 \nL 315.381595 103.120112 \nL 316.815229 96.780665 \nL 317.446011 91.079758 \nL 317.226756 86.182174 \nL 316.138393 82.217361 \nL 314.192274 79.269912 \nL 311.430099 77.374819 \nL 307.921385 76.517885 \nL 303.758846 76.641209 \nL 299.052275 77.652335 \nL 293.92166 79.435514 \nL 288.490314 81.863129 \nL 282.878688 84.805999 \nL 277.199284 88.141639 \nL 271.552915 91.759795 \nL 266.026396 95.565703 \nL 260.691425 99.481141 \nL 255.604566 103.443952 \nL 250.808016 107.406523 \nL 246.330887 111.333762 \nL 242.190844 115.200855 \nL 238.395858 118.991099 \nL 234.945957 122.694002 \nL 231.834899 126.303601 \nL 229.051691 129.81715 \nL 226.581917 133.234084 \nL 224.408889 136.555234 \nL 222.514591 139.78227 \nL 220.880471 142.91727 \nL 219.48805 145.962458 \nL 218.319412 148.920038 \nL 217.357558 151.79204 \nL 216.586678 154.580297 \nL 215.992328 157.286373 \nL 215.561549 159.911547 \nL 215.282929 162.456781 \nL 215.146635 164.922734 \nL 215.144407 167.309731 \nL 215.269537 169.617723 \nL 215.516838 171.846281 \nL 215.882591 173.994548 \nL 216.36451 176.061167 \nL 216.961684 178.044261 \nL 217.674543 179.941291 \nL 218.504804 181.749019 \nL 219.455444 183.463358 \nL 220.530655 185.079236 \nL 221.735812 186.590455 \nL 223.077443 187.989487 \nL 224.563184 189.267264 \nL 226.201742 190.412937 \nL 228.002826 191.41358 \nL 229.977071 192.253891 \nL 232.135932 192.915836 \nL 234.491524 193.378291 \nL 237.056411 193.616635 \nL 239.843336 193.602379 \nL 242.864828 193.302802 \nL 246.132708 192.680683 \nL 249.657446 191.69413 \nL 253.447327 190.296663 \nL 257.507415 188.437609 \nL 261.838286 186.062966 \nL 266.434485 183.11691 \nL 271.282751 179.544132 \nL 276.359966 175.293226 \nL 281.631007 170.321245 \nL 287.046486 164.599533 \nL 292.540722 158.120784 \nL 298.030168 150.90688 \nL 303.412677 143.016956 \nL 308.568074 134.554435 \nL 313.360473 125.671691 \nL 317.642725 116.570458 \nL 321.263126 107.496565 \nL 324.074275 98.727862 \nL 325.943442 90.555556 \nL 326.763389 83.260596 \nL 326.462303 77.088277 \nL 325.011338 72.225168 \nL 322.428522 68.782497 \nL 318.778282 66.788996 \nL 314.166658 66.194222 \nL 308.732861 66.880898 \nL 302.638515 68.683632 \nL 296.056127 71.409865 \nL 289.158129 74.859786 \nL 282.107641 78.842571 \nL 275.051547 83.187621 \nL 268.116072 87.750891 \nL 261.404654 92.416899 \nL 254.997757 97.09756 \nL 248.954076 101.729151 \nL 243.312675 106.268229 \nL 238.095646 110.687427 \nL 233.310941 114.971492 \nL 228.955159 119.113899 \nL 225.016106 123.114055 \nL 221.475095 126.975196 \nL 218.308891 130.702786 \nL 215.491348 134.303409 \nL 212.994728 137.784018 \nL 210.790743 141.151443 \nL 208.85136 144.412143 \nL 207.149383 147.572041 \nL 205.658882 150.636489 \nL 204.355467 153.610276 \nL 202.22096 159.302396 \nL 200.585854 164.677145 \nL 199.317939 169.757616 \nL 197.876085 176.867351 \nL 194.291462 196.694791 \nL 193.447482 200.020587 \nL 192.470577 203.147174 \nL 191.319637 206.075105 \nL 189.948213 208.800446 \nL 188.302203 211.313003 \nL 187.356627 212.483946 \nL 186.317393 213.593603 \nL 185.174463 214.63753 \nL 183.91683 215.610127 \nL 182.532424 216.504402 \nL 181.008032 217.311693 \nL 179.329212 218.02132 \nL 177.480218 218.620178 \nL 175.443948 219.092258 \nL 173.20191 219.418072 \nL 170.73424 219.573996 \nL 168.019766 219.531523 \nL 165.036162 219.256395 \nL 161.760207 218.707686 \nL 158.168209 217.836821 \nL 154.236637 216.586607 \nL 149.943005 214.890398 \nL 145.267114 212.671493 \nL 140.192727 209.843085 \nL 134.70977 206.309008 \nL 128.81713 201.965781 \nL 122.526144 196.706472 \nL 115.864731 190.427036 \nL 108.882159 183.035721 \nL 101.654069 174.466046 \nL 94.287389 164.693362 \nL 86.924294 153.754157 \nL 79.744174 141.766079 \nL 72.962297 128.94523 \nL 66.82388 115.615604 \nL 61.592444 102.205151 \nL 57.532352 89.223719 \nL 54.886548 77.221389 \nL 53.852046 66.730788 \nL 54.55699 58.203105 \nL 57.043694 51.950942 \nL 61.261235 48.111799 \nL 67.069382 46.640364 \nL 74.253126 47.330417 \nL 82.544894 49.858652 \nL 91.650186 53.838633 \nL 101.272292 58.872343 \nL 111.132876 64.59084 \nL 120.986632 70.679976 \nL 130.629637 76.891616 \nL 139.902232 83.043749 \nL 156.908384 94.724968 \nL 164.519781 100.140535 \nL 171.504889 105.247487 \nL 177.868156 110.050547 \nL 183.630194 114.564766 \nL 188.8232 118.81054 \nL 193.487174 122.810134 \nL 197.666879 126.585506 \nL 201.40948 130.156958 \nL 204.762762 133.542432 \nL 210.488169 139.814178 \nL 215.197297 145.492601 \nL 226.153589 159.37231 \nL 229.516032 162.948207 \nL 231.244927 164.521636 \nL 233.029891 165.942178 \nL 234.887371 167.200525 \nL 236.832511 168.285733 \nL 238.879229 169.185154 \nL 241.040206 169.884336 \nL 243.326851 170.366948 \nL 245.749192 170.61475 \nL 248.315681 170.607614 \nL 251.032951 170.323649 \nL 253.905454 169.739396 \nL 256.935037 168.830207 \nL 260.120398 167.57084 \nL 263.456485 165.936245 \nL 266.933782 163.902698 \nL 270.53754 161.449241 \nL 274.247005 158.559477 \nL 278.034628 155.223741 \nL 281.865408 151.441576 \nL 285.696374 147.22442 \nL 289.476384 142.598295 \nL 293.14635 137.606244 \nL 296.63995 132.310194 \nL 299.885054 126.791784 \nL 302.805803 121.151795 \nL 305.325469 115.50782 \nL 307.369885 109.989963 \nL 308.871377 104.734741 \nL 309.772832 99.877461 \nL 310.031539 95.543839 \nL 309.622415 91.841852 \nL 308.540225 88.854663 \nL 306.800504 86.635748 \nL 304.439039 85.206725 \nL 301.509973 84.558054 \nL 298.082726 84.652378 \nL 294.238062 85.42983 \nL 290.063751 86.814591 \nL 285.650216 88.721552 \nL 281.086522 91.062569 \nL 276.457009 93.751655 \nL 271.838669 96.708815 \nL 267.299385 99.862617 \nL 262.896943 103.151401 \nL 258.678698 106.523558 \nL 254.68184 109.937124 \nL 250.934048 113.3588 \nL 247.454413 116.762808 \nL 244.254536 120.129661 \nL 241.339686 123.444935 \nL 238.709939 126.698175 \nL 236.361277 129.88195 \nL 234.286569 132.99108 \nL 232.47646 136.021959 \nL 230.920134 138.972088 \nL 229.605966 141.839665 \nL 228.522059 144.623276 \nL 227.656677 147.321683 \nL 226.998594 149.933625 \nL 226.53736 152.45772 \nL 226.263504 154.892308 \nL 226.16867 157.235376 \nL 226.245724 159.484473 \nL 226.488807 161.636622 \nL 226.893366 163.688207 \nL 227.45615 165.634918 \nL 228.175198 167.471603 \nL 229.049798 169.192175 \nL 230.080436 170.789462 \nL 231.268726 172.255068 \nL 232.617325 173.579217 \nL 234.129824 174.750565 \nL 235.810623 175.756034 \nL 237.664773 176.580619 \nL 239.697776 177.207198 \nL 241.915357 177.616357 \nL 244.323159 177.786261 \nL 246.926397 177.692576 \nL 249.729411 177.308467 \nL 252.73513 176.604725 \nL 255.944457 175.55009 \nL 259.355493 174.111795 \nL 262.962689 172.256413 \nL 266.755851 169.951159 \nL 270.719043 167.165554 \nL 274.829436 163.873708 \nL 279.056144 160.057107 \nL 283.359133 155.707946 \nL 287.688304 150.832893 \nL 291.982968 145.457019 \nL 296.171811 139.627514 \nL 300.1736 133.416742 \nL 303.89881 126.92396 \nL 307.25226 120.274973 \nL 310.13685 113.619213 \nL 312.458249 107.123884 \nL 314.130322 100.965168 \nL 315.080784 95.317224 \nL 315.256591 90.33993 \nL 314.628333 86.167102 \nL 313.193161 82.896749 \nL 310.97573 80.584731 \nL 308.027019 79.242821 \nL 304.421215 78.84114 \nL 300.250933 79.314384 \nL 295.621492 80.570632 \nL 290.64479 82.50125 \nL 285.43342 84.990431 \nL 280.095589 87.923571 \nL 274.731034 91.193505 \nL 269.428181 94.704783 \nL 264.262439 98.375748 \nL 259.295544 102.139168 \nL 254.575756 105.941566 \nL 250.138689 109.741779 \nL 246.008533 113.509215 \nL 242.199542 117.221943 \nL 238.717597 120.864882 \nL 235.561751 124.428197 \nL 232.725702 127.905906 \nL 230.19911 131.294804 \nL 227.968757 134.593594 \nL 226.019553 137.80219 \nL 224.335363 140.92127 \nL 222.89969 143.951901 \nL 221.69622 146.895305 \nL 220.709242 149.752665 \nL 219.923972 152.525048 \nL 219.326787 155.213286 \nL 218.905383 157.81794 \nL 218.648891 160.339269 \nL 218.547929 162.777177 \nL 218.594636 165.131158 \nL 218.782672 167.400277 \nL 219.1072 169.583124 \nL 219.564861 171.677732 \nL 220.153735 173.681506 \nL 220.873293 175.591147 \nL 221.724364 177.402524 \nL 222.709074 179.110581 \nL 223.83081 180.709165 \nL 225.094155 182.19086 \nL 226.504835 183.546812 \nL 228.069651 184.766496 \nL 229.796393 185.837471 \nL 231.693745 186.74512 \nL 233.771139 187.472347 \nL 236.038596 187.999279 \nL 238.506497 188.302952 \nL 241.185288 188.357021 \nL 244.085101 188.131484 \nL 247.215282 187.592538 \nL 250.583765 186.702522 \nL 254.196305 185.420094 \nL 258.055545 183.7007 \nL 262.159866 181.497473 \nL 266.502056 178.762664 \nL 271.067752 175.449823 \nL 275.833735 171.516747 \nL 280.766106 166.929485 \nL 285.818506 161.667233 \nL 290.930488 155.72815 \nL 296.026344 149.135769 \nL 301.014681 141.945331 \nL 305.789045 134.249321 \nL 310.230025 126.180869 \nL 314.209006 117.913933 \nL 317.593783 109.658892 \nL 320.255817 101.65297 \nL 322.078696 94.145494 \nL 322.967036 87.379259 \nL 322.85471 81.570216 \nL 321.711297 76.888639 \nL 319.545777 73.444785 \nL 316.406784 71.281523 \nL 312.379363 70.374986 \nL 307.578687 70.642753 \nL 302.141605 71.957401 \nL 296.217217 74.162884 \nL 289.957598 77.090987 \nL 283.509616 80.575459 \nL 277.008427 84.462699 \nL 270.57297 88.618604 \nL 264.303407 92.931715 \nL 258.280221 97.313568 \nL 252.564687 101.697013 \nL 247.200286 106.033477 \nL 242.214696 110.289677 \nL 237.622102 114.444351 \nL 233.425556 118.485298 \nL 229.619243 122.406841 \nL 226.190566 126.207827 \nL 223.121975 129.89003 \nL 220.392534 133.456979 \nL 217.97922 136.913167 \nL 215.857983 140.26345 \nL 214.004577 143.512712 \nL 212.3952 146.665637 \nL 211.006967 149.726575 \nL 209.818253 152.699531 \nL 208.808915 155.588123 \nL 207.960429 158.395611 \nL 206.68036 163.778764 \nL 205.863539 168.869251 \nL 205.421177 173.683748 \nL 205.287769 178.236153 \nL 205.41826 182.538023 \nL 205.785344 186.598716 \nL 206.3772 190.425257 \nL 207.195813 194.021874 \nL 208.255939 197.389213 \nL 209.584711 200.523107 \nL 211.221866 203.412743 \nL 212.172134 204.760124 \nL 213.220533 206.03795 \nL 214.376008 207.241593 \nL 215.648521 208.365259 \nL 217.049111 209.40175 \nL 218.589941 210.342204 \nL 220.28436 211.175761 \nL 222.146931 211.889186 \nL 224.193454 212.466413 \nL 226.440968 212.88803 \nL 228.907687 213.13069 \nL 231.612909 213.16642 \nL 234.576806 212.961902 \nL 237.820139 212.477669 \nL 241.363785 211.667321 \nL 245.228106 210.476775 \nL 249.432034 208.843673 \nL 253.991852 206.69711 \nL 258.919592 203.957865 \nL 264.220961 200.539476 \nL 269.892768 196.350494 \nL 275.919757 191.298398 \nL 282.270964 185.295683 \nL 288.895644 178.268529 \nL 295.719012 170.168368 \nL 302.638362 160.986147 \nL 309.520089 150.768475 \nL 316.198646 139.633771 \nL 322.47837 127.785444 \nL 328.139311 115.518074 \nL 332.947682 103.212252 \nL 336.671047 91.314826 \nL 339.097231 80.303627 \nL 340.05474 70.639987 \nL 339.431855 62.716503 \nL 337.190644 56.81056 \nL 333.373352 53.053798 \nL 328.099488 51.424316 \nL 321.554277 51.762331 \nL 313.970559 53.804101 \nL 305.607486 57.22508 \nL 296.729484 61.682674 \nL 287.588171 66.851479 \nL 278.40897 72.447052 \nL 269.382799 78.238048 \nL 260.662517 84.048618 \nL 252.363078 89.754275 \nL 244.564321 95.273896 \nL 237.315299 100.56055 \nL 230.639289 105.592561 \nL 224.538865 110.365744 \nL 219.000631 114.887155 \nL 213.999405 119.17039 \nL 209.501768 123.232161 \nL 205.468956 127.090039 \nL 201.859175 130.761005 \nL 198.629377 134.260597 \nL 195.736596 137.602504 \nL 193.138908 140.798404 \nL 188.670092 146.789161 \nL 184.928092 152.289094 \nL 177.162466 164.047104 \nL 174.180162 167.945801 \nL 172.635357 169.70992 \nL 171.031944 171.342636 \nL 169.353979 172.836268 \nL 167.586313 174.181594 \nL 165.71449 175.367661 \nL 163.724688 176.38163 \nL 161.603717 177.20861 \nL 159.339047 177.831439 \nL 156.918922 178.230553 \nL 154.332522 178.383831 \nL 151.570234 178.266517 \nL 148.623995 177.851233 \nL 145.487761 177.108142 \nL 142.158091 176.005267 \nL 138.63485 174.509058 \nL 134.922059 172.585347 \nL 131.028882 170.200649 \nL 126.970691 167.323992 \nL 122.770246 163.929275 \nL 118.458875 159.99823 \nL 114.07755 155.523933 \nL 109.677777 150.514701 \nL 105.322125 144.998189 \nL 101.084146 139.02526 \nL 97.047566 132.673012 \nL 93.304499 126.046365 \nL 89.952587 119.277488 \nL 87.090991 112.522395 \nL 84.815442 105.954501 \nL 83.212563 99.755167 \nL 82.353998 94.101957 \nL 82.290945 89.155971 \nL 83.04975 85.049689 \nL 84.62919 81.877324 \nL 86.999774 79.688878 \nL 90.105302 78.488912 \nL 93.866395 78.239727 \nL 98.185631 78.868461 \nL 102.953604 80.276536 \nL 108.055253 82.349995 \nL 113.37581 84.969311 \nL 118.805917 88.017648 \nL 124.245572 91.387038 \nL 129.606858 94.982223 \nL 134.815478 98.722577 \nL 139.811197 102.542337 \nL 144.547514 106.389721 \nL 148.990698 110.225344 \nL 153.118434 114.020292 \nL 156.918279 117.75414 \nL 160.386021 121.413143 \nL 163.524119 124.988582 \nL 166.340204 128.475411 \nL 168.845768 131.871196 \nL 171.055001 135.175243 \nL 172.983804 138.387969 \nL 174.648975 141.510445 \nL 176.067544 144.544062 \nL 177.256248 147.490318 \nL 178.23113 150.350625 \nL 179.007225 153.126262 \nL 179.59835 155.818248 \nL 180.016948 158.427339 \nL 180.274 160.953971 \nL 180.378965 163.398242 \nL 180.339763 165.759854 \nL 180.162785 168.038103 \nL 179.852907 170.231824 \nL 179.413531 172.339319 \nL 178.846614 174.3583 \nL 178.152721 176.285817 \nL 177.331064 178.118133 \nL 176.379549 179.85062 \nL 175.294821 181.477622 \nL 174.072317 182.992284 \nL 172.706313 184.386374 \nL 171.189982 185.650058 \nL 169.515468 186.771668 \nL 167.673972 187.73743 \nL 165.655866 188.53117 \nL 163.45084 189.134001 \nL 161.048095 189.52399 \nL 158.436608 189.675837 \nL 155.605462 189.560564 \nL 152.544288 189.14529 \nL 149.243822 188.393089 \nL 145.696612 187.263036 \nL 141.8979 185.710518 \nL 137.846707 183.687903 \nL 133.547125 181.14574 \nL 129.009823 178.034616 \nL 124.25376 174.307818 \nL 119.308055 169.925002 \nL 114.213905 164.856865 \nL 109.026404 159.090853 \nL 103.816053 152.637688 \nL 98.669637 145.538189 \nL 93.690135 137.8697 \nL 88.99532 129.75088 \nL 84.714606 121.343669 \nL 80.984064 112.850938 \nL 77.939532 104.508832 \nL 75.708152 96.573491 \nL 74.399126 89.30278 \nL 74.094593 82.935249 \nL 74.841909 77.669086 \nL 76.648476 73.644633 \nL 79.480007 70.933492 \nL 83.262468 69.535891 \nL 87.887596 69.386525 \nL 93.221033 70.367164 \nL 99.111998 72.323309 \nL 105.403236 75.08186 \nL 111.940129 78.467219 \nL 118.578159 82.313937 \nL 125.188364 86.475279 \nL 131.6607 90.827731 \nL 137.905484 95.27216 \nL 143.853319 99.732673 \nL 149.453882 104.153827 \nL 154.673958 108.497274 \nL 159.495116 112.73824 \nL 163.911216 116.862284 \nL 167.925995 120.862431 \nL 171.550834 124.736926 \nL 174.802759 128.487411 \nL 177.702744 132.117625 \nL 180.274273 135.632413 \nL 182.54218 139.037099 \nL 184.53172 142.337053 \nL 186.267864 145.537445 \nL 187.774762 148.643103 \nL 189.075359 151.658433 \nL 190.191143 154.587442 \nL 191.141979 157.433736 \nL 192.619747 162.890837 \nL 193.633497 168.052164 \nL 194.281963 172.936335 \nL 194.640381 177.559178 \nL 194.763622 181.934491 \nL 194.689285 186.074356 \nL 194.440402 189.989374 \nL 194.027613 193.688623 \nL 193.450737 197.179468 \nL 192.699747 200.467188 \nL 191.755162 203.55433 \nL 190.587898 206.439802 \nL 189.158583 209.117398 \nL 187.416382 211.573731 \nL 186.40853 212.712021 \nL 185.297345 213.785062 \nL 184.072444 214.787516 \nL 182.722354 215.712718 \nL 181.234428 216.552399 \nL 179.59478 217.296358 \nL 177.788206 217.93208 \nL 175.798143 218.444264 \nL 173.606637 218.814278 \nL 171.194347 219.019535 \nL 168.540608 219.032766 \nL 165.623563 218.821185 \nL 162.420412 218.345594 \nL 158.907782 217.559437 \nL 155.062321 216.407831 \nL 150.861512 214.826699 \nL 146.284832 212.742136 \nL 141.315319 210.070235 \nL 135.941617 206.717619 \nL 130.160632 202.583187 \nL 123.980822 197.561502 \nL 117.426161 191.54848 \nL 110.540704 184.450001 \nL 103.39353 176.193925 \nL 96.083665 166.745701 \nL 88.744236 156.126854 \nL 81.544949 144.434866 \nL 74.69158 131.861066 \nL 68.421193 118.702088 \nL 62.991959 105.359355 \nL 58.667213 92.321621 \nL 55.694343 80.1282 \nL 54.28088 69.315209 \nL 54.571133 60.352916 \nL 56.627774 53.586796 \nL 60.422112 49.195748 \nL 65.835278 47.177559 \nL 72.670272 47.363804 \nL 80.672402 49.458727 \nL 89.554142 53.091077 \nL 99.020069 57.866291 \nL 108.788402 63.409742 \nL 118.606954 69.395721 \nL 128.262928 75.562011 \nL 137.587002 81.712256 \nL 154.774378 93.470876 \nL 162.499197 98.946846 \nL 169.604075 104.119944 \nL 176.08838 108.990799 \nL 181.968804 113.571888 \nL 187.274635 117.882129 \nL 192.043814 121.943108 \nL 196.319733 125.776613 \nL 200.148736 129.403116 \nL 203.57821 132.840951 \nL 206.655171 136.105914 \nL 211.932108 142.167597 \nL 216.317833 147.664935 \nL 225.222066 159.154347 \nL 228.547705 162.842864 \nL 230.250202 164.477669 \nL 232.003964 165.96367 \nL 233.825829 167.292131 \nL 235.731352 168.452709 \nL 237.734889 169.433366 \nL 239.849622 170.220272 \nL 242.087524 170.797704 \nL 244.459285 171.148005 \nL 246.974153 171.251564 \nL 249.639699 171.086859 \nL 252.461504 170.630642 \nL 255.44276 169.858227 \nL 258.583759 168.743953 \nL 261.881301 167.261891 \nL 265.32801 165.386858 \nL 268.911577 163.095703 \nL 272.613938 160.368984 \nL 276.410478 157.193041 \nL 280.269252 153.562379 \nL 284.150382 149.482388 \nL 288.005662 144.972118 \nL 291.778551 140.066998 \nL 295.40468 134.821087 \nL 298.812938 129.308486 \nL 301.927277 123.623482 \nL 304.669322 117.879009 \nL 306.961635 112.203134 \nL 308.731567 106.733565 \nL 309.915443 101.610377 \nL 310.46267 96.967616 \nL 310.339389 92.92458 \nL 309.531279 89.577912 \nL 308.045078 86.995513 \nL 305.908734 85.213021 \nL 303.16999 84.233356 \nL 299.893711 84.029043 \nL 296.158129 84.547103 \nL 292.050494 85.715303 \nL 287.662543 87.44924 \nL 283.086162 89.658996 \nL 278.409673 92.255018 \nL 273.714802 95.152633 \nL 269.074528 98.275223 \nL 264.551749 101.555898 \nL 260.198738 104.938195 \nL 256.057179 108.375829 \nL 252.15871 111.831846 \nL 248.525805 115.277513 \nL 245.172837 118.691003 \nL 242.107265 122.056129 \nL 239.330814 125.361168 \nL 236.840626 128.597819 \nL 234.630311 131.760321 \nL 232.690897 134.844773 \nL 231.011656 137.848532 \nL 229.580811 140.769795 \nL 228.386128 143.607256 \nL 227.415388 146.359846 \nL 226.656782 149.026563 \nL 226.0992 151.606291 \nL 225.732464 154.097705 \nL 225.547492 156.499172 \nL 225.536412 158.808653 \nL 225.692633 161.023627 \nL 226.010884 163.140996 \nL 226.487227 165.157019 \nL 227.119049 167.067185 \nL 227.905027 168.866113 \nL 228.84509 170.547431 \nL 229.940355 172.103632 \nL 231.193052 173.525911 \nL 232.606438 174.804013 \nL 234.184681 175.926053 \nL 235.932727 176.878293 \nL 237.856135 177.644984 \nL 239.960864 178.208146 \nL 242.253031 178.54741 \nL 244.738599 178.639875 \nL 247.422984 178.460021 \nL 250.310604 177.979766 \nL 253.4043 177.168592 \nL 256.704661 175.993934 \nL 260.209224 174.421784 \nL 263.911557 172.417694 \nL 267.800195 169.948144 \nL 271.857512 166.982457 \nL 276.0585 163.495247 \nL 280.369555 159.469487 \nL 284.747385 154.900073 \nL 289.138152 149.797843 \nL 293.476976 144.193636 \nL 297.688101 138.142113 \nL 301.685837 131.724616 \nL 305.376474 125.050521 \nL 308.661338 118.256241 \nL 311.440949 111.501386 \nL 313.62011 104.961786 \nL 315.113689 98.819592 \nL 315.852477 93.251282 \nL 315.788567 88.414806 \nL 314.899531 84.437725 \nL 313.190896 81.407991 \nL 310.696449 79.368644 \nL 307.476385 78.317281 \nL 303.61346 78.209983 \nL 299.207644 78.968891 \nL 294.369944 80.491895 \nL 289.216068 82.663113 \nL 283.860558 85.362502 \nL 278.411834 88.473873 \nL 272.968384 91.890693 \nL 267.616265 95.519667 \nL 262.427736 99.282305 \nL 257.460933 103.115008 \nL 252.760337 106.967983 \nL 248.357814 110.803587 \nL 244.274011 114.594376 \nL 240.519941 118.321108 \nL 237.098613 121.970963 \nL 234.006604 125.535927 \nL 231.235523 129.01149 \nL 228.773308 132.395571 \nL 226.605366 135.687731 \nL 224.715534 138.888562 \nL 223.086863 141.999238 \nL 221.70227 145.021217 \nL 220.545037 147.956026 \nL 219.599207 150.805086 \nL 218.849863 153.569667 \nL 218.283344 156.250788 \nL 217.887382 158.849185 \nL 217.651187 161.365267 \nL 217.565496 163.799102 \nL 217.622587 166.150373 \nL 217.816269 168.418339 \nL 218.141861 170.601786 \nL 218.596155 172.698988 \nL 219.177374 174.707619 \nL 219.885137 176.624653 \nL 220.720403 178.446303 \nL 221.685432 180.167858 \nL 222.783741 181.783575 \nL 224.020048 183.28649 \nL 225.400228 184.668246 \nL 226.931248 185.918865 \nL 228.621106 187.02651 \nL 230.478731 187.977209 \nL 232.513874 188.754561 \nL 234.736957 189.33941 \nL 237.158874 189.70952 \nL 239.790721 189.839249 \nL 242.643461 189.699241 \nL 245.72748 189.256199 \nL 249.051997 188.472752 \nL 252.624366 187.307523 \nL 256.449158 185.715445 \nL 260.527075 183.648486 \nL 264.853617 181.056891 \nL 269.417565 177.891079 \nL 274.199236 174.104431 \nL 279.168591 169.657015 \nL 284.283332 164.520386 \nL 289.487048 158.683402 \nL 294.707763 152.158816 \nL 299.857092 144.990195 \nL 304.83042 137.258251 \nL 309.508446 129.085553 \nL 313.760471 120.638191 \nL 317.449579 112.123014 \nL 320.439723 103.779496 \nL 322.604297 95.865885 \nL 323.835513 88.640544 \nL 324.053498 82.340551 \nL 323.213865 77.160738 \nL 321.312683 73.236524 \nL 318.387929 70.633558 \nL 314.517164 69.345926 \nL 309.811742 69.302636 \nL 304.408447 70.380805 \nL 298.459657 72.422689 \nL 292.123401 75.253415 \nL 285.554306 78.696945 \nL 278.896236 82.58842 \nL 272.277034 86.782444 \nL 265.805312 91.157217 \nL 259.56917 95.615479 \nL 253.636391 100.083128 \nL 248.055752 104.506342 \nL 242.859051 108.848148 \nL 238.063472 113.084889 \nL 233.674089 117.20297 \nL 229.686284 121.196086 \nL 226.087972 125.06296 \nL 222.86157 128.805556 \nL 219.985691 132.427833 \nL 217.436551 135.93478 \nL 215.189117 139.331805 \nL 213.218007 142.624328 \nL 211.498189 145.817547 \nL 210.005499 148.916279 \nL 208.717007 151.924941 \nL 207.611271 154.847531 \nL 206.668482 157.687634 \nL 205.201067 163.133049 \nL 204.190452 168.283549 \nL 203.538332 173.157752 \nL 203.169735 177.771542 \nL 203.029827 182.138785 \nL 203.080796 186.271733 \nL 203.29912 190.181214 \nL 203.67337 193.876633 \nL 204.202604 197.365827 \nL 204.89536 200.654754 \nL 205.769208 203.746947 \nL 206.850839 206.642707 \nL 208.176674 209.337884 \nL 209.793955 211.822029 \nL 210.729988 212.979335 \nL 211.762317 214.07569 \nL 212.900662 215.106596 \nL 214.155785 216.066391 \nL 215.539574 216.948022 \nL 217.065116 217.74274 \nL 218.746781 218.439766 \nL 220.600278 219.025864 \nL 222.642713 219.484876 \nL 224.892615 219.79712 \nL 227.369914 219.938741 \nL 230.09587 219.880933 \nL 233.09292 219.589088 \nL 236.384405 219.021848 \nL 239.994138 218.130125 \nL 243.945772 216.856111 \nL 248.261884 215.132438 \nL 252.962719 212.881586 \nL 258.064486 210.015841 \nL 263.577128 206.43808 \nL 269.501468 202.043855 \nL 275.825692 196.725388 \nL 282.521102 190.378038 \nL 289.537357 182.909917 \nL 296.797342 174.255151 \nL 304.192259 164.39069 \nL 311.577644 153.35593 \nL 318.771494 141.272926 \nL 325.555759 128.363658 \nL 331.682565 114.959148 \nL 336.886168 101.494827 \nL 340.900854 88.487324 \nL 343.483597 76.491538 \nL 344.438792 66.041746 \nL 343.641273 57.586886 \nL 341.053011 51.433569 \nL 336.730062 47.710367 \nL 330.818004 46.361817 \nL 323.536765 47.171912 \nL 315.157857 49.80941 \nL 305.978486 53.882552 \nL 296.296718 58.990744 \nL 286.391018 64.764874 \nL 276.505894 70.892263 \nL 266.843795 77.127312 \nL 257.562522 83.290836 \nL 240.562422 94.969689 \nL 225.99112 105.470621 \nL 219.643893 110.259381 \nL 213.898677 114.758184 \nL 208.722414 118.987961 \nL 204.074449 122.971319 \nL 199.909526 126.73038 \nL 196.180124 130.285528 \nL 192.838216 133.654719 \nL 187.129533 139.893736 \nL 182.42876 145.538609 \nL 171.449922 159.30294 \nL 168.066016 162.831551 \nL 166.324184 164.378909 \nL 164.524959 165.771482 \nL 162.65203 166.999751 \nL 160.690404 168.052564 \nL 158.626352 168.917062 \nL 156.447405 169.578573 \nL 154.142414 170.020576 \nL 151.70167 170.224669 \nL 149.117094 170.170639 \nL 146.382509 169.836544 \nL 143.494003 169.198996 \nL 140.450366 168.233572 \nL 137.253629 166.915415 \nL 133.909698 165.220102 \nL 130.429047 163.124808 \nL 126.827466 160.609803 \nL 123.12686 157.660285 \nL 119.355953 154.268591 \nL 115.550942 150.436651 \nL 111.75594 146.178638 \nL 108.02306 141.523571 \nL 104.412142 136.51764 \nL 100.989879 131.225787 \nL 97.828321 125.732313 \nL 95.002665 120.139973 \nL 92.588317 114.567332 \nL 90.657441 109.14419 \nL 89.275039 104.005301 \nL 88.494988 99.282724 \nL 88.35635 95.09763 \nL 88.880373 91.552392 \nL 90.068553 88.72407 \nL 91.901958 86.660035 \nL 94.34197 85.376372 \nL 97.332373 84.85898 \nL 100.802558 85.067242 \nL 104.67143 85.939438 \nL 108.851729 87.399216 \nL 113.254236 89.362115 \nL 117.791635 91.741499 \nL 122.381689 94.453461 \nL 126.949695 97.420388 \nL 131.430093 100.573256 \nL 135.767343 103.85271 \nL 139.916144 107.209194 \nL 143.841118 110.602471 \nL 147.516141 114.00067 \nL 150.923383 117.379122 \nL 154.052233 120.719179 \nL 156.898161 124.007009 \nL 159.461599 127.232556 \nL 161.746881 130.388639 \nL 163.761279 133.4702 \nL 165.51416 136.473683 \nL 167.016234 139.396558 \nL 168.278942 142.236938 \nL 169.313929 144.993305 \nL 170.132635 147.664286 \nL 170.745957 150.248469 \nL 171.164 152.74428 \nL 171.395879 155.149859 \nL 171.44959 157.462993 \nL 171.331918 159.680992 \nL 171.048381 161.800611 \nL 170.60321 163.817961 \nL 169.99935 165.728413 \nL 169.238478 167.526463 \nL 168.321049 169.205645 \nL 167.246356 170.758354 \nL 166.012593 172.17573 \nL 164.616964 173.447469 \nL 163.055782 174.561687 \nL 161.324617 175.504693 \nL 159.418463 176.260843 \nL 157.331954 176.812338 \nL 155.059614 177.139087 \nL 152.596175 177.218597 \nL 149.936961 177.025923 \nL 147.078354 176.533705 \nL 144.018362 175.712401 \nL 140.757282 174.530655 \nL 137.298493 172.955977 \nL 133.649337 170.955722 \nL 129.822149 168.498497 \nL 125.835336 165.556047 \nL 121.714514 162.105668 \nL 117.493655 158.133147 \nL 113.216063 153.636175 \nL 108.935146 148.628107 \nL 104.714741 143.141768 \nL 100.628912 137.232857 \nL 96.760889 130.982497 \nL 93.201146 124.498177 \nL 90.044394 117.912531 \nL 87.385556 111.379426 \nL 85.314893 105.067176 \nL 83.912596 99.149098 \nL 83.243268 93.792216 \nL 83.35099 89.145363 \nL 84.255472 85.328275 \nL 85.949891 82.423104 \nL 88.400672 80.469764 \nL 91.549341 79.465506 \nL 95.316171 79.368701 \nL 99.605243 80.105821 \nL 104.310221 81.580518 \nL 109.320289 83.683263 \nL 114.525696 86.300309 \nL 119.822409 89.321191 \nL 125.115699 92.64424 \nL 130.322579 96.179938 \nL 135.373082 99.852544 \nL 140.210657 103.600262 \nL 144.791754 107.3743 \nL 149.084876 111.137405 \nL 153.069286 114.862067 \nL 156.733532 118.528683 \nL 160.073898 122.123877 \nL 163.092927 125.638971 \nL 165.798015 129.068764 \nL 168.200163 132.41049 \nL 170.312888 135.663063 \nL 172.151291 138.826462 \nL 173.731287 141.901298 \nL 175.068975 144.888497 \nL 176.180138 147.789088 \nL 177.07986 150.604046 \nL 177.782235 153.334171 \nL 178.300153 155.980044 \nL 178.645165 158.541944 \nL 178.827384 161.019821 \nL 178.85543 163.413247 \nL 178.736416 165.721363 \nL 178.475954 167.942843 \nL 178.078161 170.075837 \nL 177.545706 172.117874 \nL 176.879835 174.065816 \nL 176.080424 175.915722 \nL 175.146023 177.662756 \nL 174.073906 179.301024 \nL 172.860124 180.823436 \nL 171.49957 182.221524 \nL 169.98604 183.485212 \nL 168.312323 184.602606 \nL 166.470299 185.559721 \nL 164.451069 186.340215 \nL 162.245114 186.925098 \nL 159.842519 187.292417 \nL 157.233241 187.416991 \nL 154.407472 187.270143 \nL 151.356088 186.819531 \nL 148.071229 186.029096 \nL 144.547025 184.859179 \nL 140.780466 183.266944 \nL 136.772487 181.207164 \nL 132.529233 178.633512 \nL 128.063504 175.500524 \nL 123.396408 171.766313 \nL 118.559072 167.396214 \nL 113.59441 162.36735 \nL 108.558701 156.674056 \nL 103.522847 150.333941 \nL 98.572926 143.394082 \nL 93.809832 135.936497 \nL 89.347541 128.081982 \nL 85.309853 119.991046 \nL 81.825395 111.860702 \nL 79.020913 103.916452 \nL 77.013359 96.399227 \nL 75.901331 89.548226 \nL 75.756884 83.58167 \nL 76.618783 78.67798 \nL 78.488249 74.96075 \nL 81.327789 72.489731 \nL 85.063469 71.259468 \nL 89.590252 71.205133 \nL 94.779672 72.214389 \nL 100.488769 74.142622 \nL 106.569166 76.828828 \nL 112.875364 80.110018 \nL 119.271516 83.832591 \nL 125.636373 87.859944 \nL 131.866326 92.076614 \nL 137.876729 96.389363 \nL 143.601838 100.726171 \nL 148.993712 105.033845 \nL 154.020424 109.275012 \nL 158.663914 113.424964 \nL 162.91771 117.468687 \nL 166.784677 121.3983 \nL 170.274946 125.210953 \nL 173.404047 128.907159 \nL 176.191302 132.489533 \nL 178.658471 135.9619 \nL 180.828649 139.328657 \nL 182.725377 142.594375 \nL 184.371954 145.763507 \nL 185.790924 148.840261 \nL 187.003695 151.828528 \nL 188.030278 154.731838 \nL 188.889131 157.553387 \nL 189.597055 160.296037 \nL 190.618932 165.554712 \nL 191.19707 170.525538 \nL 191.407613 175.222797 \nL 191.30412 179.657917 \nL 190.920164 183.839616 \nL 190.271675 187.773722 \nL 189.358763 191.462588 \nL 188.166921 194.904081 \nL 186.66757 198.090045 \nL 185.789796 199.582448 \nL 184.817991 201.003949 \nL 183.744498 202.350629 \nL 182.560671 203.617542 \nL 181.256834 204.798529 \nL 179.822235 205.885979 \nL 178.245014 206.870562 \nL 176.512161 207.740893 \nL 174.609497 208.483169 \nL 172.521682 209.08071 \nL 170.23224 209.51346 \nL 167.723636 209.757417 \nL 164.977422 209.783989 \nL 161.974474 209.559301 \nL 158.695323 209.043497 \nL 155.120672 208.190036 \nL 151.232107 206.945083 \nL 147.013029 205.247114 \nL 142.449954 203.026869 \nL 137.53414 200.207876 \nL 132.263686 196.707865 \nL 126.646092 192.44139 \nL 120.701299 187.324112 \nL 114.465201 181.279152 \nL 107.993415 174.24585 \nL 101.365037 166.191097 \nL 94.685955 157.122784 \nL 88.091009 147.104521 \nL 81.744179 136.269494 \nL 75.835819 124.830736 \nL 70.576186 113.083982 \nL 66.184691 101.399664 \nL 62.875126 90.201495 \nL 60.837968 79.931881 \nL 60.221879 71.007784 \nL 61.117298 63.77441 \nL 63.544923 58.465855 \nL 67.451588 55.181288 \nL 72.714303 53.881598 \nL 79.151913 54.406202 \nL 86.542072 56.504787 \nL 94.64071 59.876181 \nL 103.200894 64.205929 \nL 111.988861 69.196903 \nL 120.795792 74.589671 \nL 129.445032 80.172882 \nL 137.795132 85.785111 \nL 145.739598 91.311143 \nL 153.204319 96.674893 \nL 160.143622 101.831316 \nL 166.535714 106.758453 \nL 172.378055 111.450504 \nL 177.683016 115.912228 \nL 182.474042 120.154673 \nL 186.782364 124.192061 \nL 190.644302 128.039685 \nL 194.099111 131.712558 \nL 197.187301 135.224589 \nL 199.949377 138.58817 \nL 202.424918 141.814023 \nL 206.666493 147.887095 \nL 210.191186 153.497636 \nL 218.722935 167.79197 \nL 221.482962 171.708601 \nL 222.929563 173.495414 \nL 224.441529 175.160554 \nL 226.033779 176.696884 \nL 227.720749 178.095754 \nL 229.516481 179.346822 \nL 231.434697 180.437868 \nL 233.488823 181.354546 \nL 235.691966 182.080166 \nL 238.056834 182.595454 \nL 240.595595 182.878323 \nL 243.319646 182.903692 \nL 246.239302 182.643346 \nL 249.363354 182.065914 \nL 252.698523 181.136993 \nL 256.248751 179.819503 \nL 260.014347 178.074367 \nL 263.990969 175.861529 \nL 268.16842 173.141592 \nL 272.529348 169.877983 \nL 277.047798 166.03987 \nL 281.687773 161.60581 \nL 286.4019 156.568132 \nL 291.130349 150.937807 \nL 295.800228 144.749538 \nL 300.325733 138.066476 \nL 304.609263 130.983814 \nL 308.543801 123.630331 \nL 312.016648 116.166994 \nL 314.914572 108.781802 \nL 317.130118 101.680662 \nL 318.568631 95.074621 \nL 319.15535 89.164575 \nL 318.841699 84.125485 \nL 317.609933 80.092218 \nL 315.475474 77.149367 \nL 312.486535 75.326619 \nL 308.721024 74.60005 \nL 304.281186 74.899049 \nL 299.286668 76.117102 \nL 293.86686 78.124568 \nL 288.153434 80.78145 \nL 282.273707 83.948474 \nL 276.345354 87.495658 \nL 270.472667 91.307862 \nL 264.744317 95.287709 \nL 259.232495 99.356215 \nL 253.993139 103.451793 \nL 249.066961 107.528302 \nL 244.481013 111.552622 \nL 240.250522 115.502125 \nL 236.380833 119.36233 \nL 232.869307 123.124825 \nL 229.707094 126.785545 \nL 226.880718 130.343413 \nL 224.37345 133.799325 \nL 222.166481 137.15535 \nL 220.239879 140.414209 \nL 218.573367 143.578886 \nL 217.146921 146.652406 \nL 215.941249 149.63765 \nL 214.938117 152.537287 \nL 214.120602 155.353742 \nL 213.473246 158.089133 \nL 212.982153 160.745309 \nL 212.635034 163.323826 \nL 212.421214 165.825961 \nL 212.331618 168.252708 \nL 212.358723 170.604753 \nL 212.740452 175.086033 \nL 213.08736 177.215058 \nL 213.535429 179.268895 \nL 214.084136 181.246427 \nL 214.734208 183.146014 \nL 215.487583 184.965423 \nL 216.347377 186.701735 \nL 217.317862 188.351226 \nL 218.404449 189.909225 \nL 219.61367 191.369962 \nL 220.953168 192.726372 \nL 222.431684 193.96987 \nL 224.059036 195.090092 \nL 225.846089 196.074609 \nL 227.804704 196.908571 \nL 229.947669 197.574351 \nL 232.288577 198.051111 \nL 234.841665 198.314347 \nL 237.621564 198.335434 \nL 240.642979 198.081159 \nL 243.920221 197.51329 \nL 247.46661 196.588266 \nL 251.293668 195.257054 \nL 255.410114 193.465309 \nL 259.820554 191.153968 \nL 264.523925 188.260498 \nL 269.511574 184.720988 \nL 274.765049 180.473364 \nL 280.253637 175.461957 \nL 285.93173 169.643612 \nL 291.736244 162.99535 \nL 297.584408 155.523389 \nL 303.372295 147.272841 \nL 308.974633 138.33701 \nL 314.246507 128.864566 \nL 319.027433 119.062549 \nL 323.148143 109.193003 \nL 326.440118 99.561596 \nL 328.747293 90.497786 \nL 329.938815 82.327864 \nL 329.921339 75.344458 \nL 328.648892 69.777369 \nL 326.12874 65.771269 \nL 322.422074 63.374428 \nL 317.639327 62.540389 \nL 311.930941 63.141555 \nL 305.474965 64.991089 \nL 298.463476 67.868309 \nL 291.089539 71.543071 \nL 283.536178 75.795761 \nL 275.968084 80.430996 \nL 268.526337 85.285253 \nL 261.32597 90.229045 \nL 254.45576 95.165301 \nL 247.979734 100.025434 \nL 241.939739 104.764246 \nL 236.358579 109.354808 \nL 231.243329 113.78366 \nL 226.588533 118.046815 \nL 222.379156 122.146533 \nL 218.593151 126.088872 \nL 215.203652 129.88195 \nL 212.180774 133.534705 \nL 209.49305 137.056113 \nL 207.108555 140.454703 \nL 204.995758 143.738307 \nL 203.124132 146.913935 \nL 201.464586 149.98776 \nL 198.674054 155.850854 \nL 196.427627 161.362491 \nL 194.558664 166.548486 \nL 189.168434 182.356586 \nL 187.554549 186.231296 \nL 185.75836 189.815616 \nL 183.702928 193.09393 \nL 182.553128 194.610309 \nL 181.307938 196.038708 \nL 179.956216 197.373082 \nL 178.486197 198.605987 \nL 176.88542 199.728327 \nL 175.140661 200.729051 \nL 173.237898 201.594831 \nL 171.162299 202.309667 \nL 168.898237 202.854442 \nL 166.42938 203.206437 \nL 163.738811 203.338799 \nL 160.809272 203.219973 \nL 157.62349 202.813141 \nL 154.164664 202.075702 \nL 150.417119 200.958847 \nL 146.367201 199.407359 \nL 142.004432 197.359746 \nL 137.32298 194.74891 \nL 132.323502 191.503569 \nL 127.015361 187.55076 \nL 121.419244 182.819689 \nL 115.570069 177.247272 \nL 109.520094 170.785608 \nL 103.341951 163.411339 \nL 97.131209 155.136638 \nL 91.007963 146.020953 \nL 85.116755 136.181923 \nL 79.62413 125.803304 \nL 74.713166 115.137085 \nL 70.574698 104.497184 \nL 67.395291 94.242871 \nL 65.34289 84.751911 \nL 64.551665 76.386072 \nL 65.108254 69.454006 \nL 67.041622 64.17859 \nL 70.318451 60.674924 \nL 74.845048 58.943658 \nL 80.475454 58.880184 \nL 87.024378 60.296882 \nL 94.282777 62.952601 \nL 102.033766 66.583539 \nL 110.066836 70.93 \nL 118.188979 75.756192 \nL 126.232292 80.862 \nL 134.057984 86.087678 \nL 141.557451 91.312994 \nL 148.651034 96.45299 \nL 155.285322 101.451987 \nL 161.429601 106.277206 \nL 167.072007 110.912784 \nL 172.215749 115.354647 \nL 176.875614 119.60645 \nL 181.074894 123.676453 \nL 184.842788 127.575312 \nL 188.212264 131.314531 \nL 191.218338 134.905481 \nL 193.896755 138.358798 \nL 196.282983 141.684107 \nL 198.411487 144.889861 \nL 202.025346 150.970755 \nL 204.979196 156.647117 \nL 208.619919 164.467748 \nL 212.861646 173.674943 \nL 215.019049 177.757872 \nL 217.350327 181.476381 \nL 218.613311 183.190543 \nL 219.957941 184.8015 \nL 221.396772 186.302907 \nL 222.942483 187.687001 \nL 224.607979 188.944379 \nL 226.406448 190.063766 \nL 228.3514 191.031708 \nL 230.456671 191.832264 \nL 232.736374 192.446666 \nL 235.204801 192.852934 \nL 237.876245 193.025514 \nL 240.764751 192.934905 \nL 243.883739 192.547324 \nL 247.245498 191.824489 \nL 250.86053 190.723537 \nL 254.736688 189.197194 \nL 258.878098 187.194325 \nL 263.283845 184.660986 \nL 267.94639 181.542179 \nL 272.849748 177.784487 \nL 277.967441 173.339761 \nL 283.260343 168.170041 \nL 288.674552 162.25368 \nL 294.139491 155.592568 \nL 299.566653 148.219978 \nL 304.849256 140.208218 \nL 309.863337 131.674916 \nL 314.470706 122.786352 \nL 318.524042 113.756206 \nL 321.874199 104.838252 \nL 324.379447 96.312419 \nL 325.915909 88.464754 \nL 326.388045 81.563347 \nL 325.737771 75.833842 \nL 323.950873 71.438444 \nL 321.059518 68.462321 \nL 317.140475 66.909706 \nL 312.309215 66.71003 \nL 306.710809 67.732184 \nL 300.509024 69.803811 \nL 293.87504 72.731819 \nL 286.977123 76.320918 \nL 279.972171 80.388241 \nL 272.999656 84.772878 \nL 266.17791 89.340804 \nL 259.602654 93.985864 \nL 253.34721 98.6281 \nL 247.463992 103.210354 \nL 241.986772 107.694267 \nL 236.933368 112.056153 \nL 232.308422 116.283306 \nL 228.106092 120.370814 \nL 224.312508 124.319029 \nL 220.907934 128.131624 \nL 217.868607 131.81417 \nL 215.168264 135.373145 \nL 212.779363 138.815272 \nL 210.674053 142.147116 \nL 208.824898 145.374819 \nL 207.205422 148.504029 \nL 205.790479 151.539821 \nL 204.556509 154.486745 \nL 202.545896 160.129767 \nL 201.020172 165.460626 \nL 199.853348 170.501633 \nL 198.560074 177.559646 \nL 197.308739 186.109455 \nL 195.946599 195.551851 \nL 195.022633 200.613029 \nL 194.298207 203.751106 \nL 193.450095 206.70601 \nL 192.442897 209.479715 \nL 191.235771 212.070599 \nL 189.780411 214.47199 \nL 188.018815 216.66998 \nL 187.001799 217.685609 \nL 185.880813 218.640186 \nL 184.644731 219.528236 \nL 183.281316 220.342911 \nL 181.777117 221.075695 \nL 180.117385 221.716057 \nL 178.285984 222.251037 \nL 176.265332 222.664744 \nL 174.036346 222.937766 \nL 171.578444 223.046478 \nL 168.869592 222.962246 \nL 165.886432 222.650521 \nL 162.604528 222.069834 \nL 158.99876 221.17072 \nL 155.04393 219.89464 \nL 150.715649 218.172976 \nL 145.991569 215.926269 \nL 140.853078 213.063963 \nL 135.287541 209.484947 \nL 129.291225 205.079423 \nL 122.872903 199.732648 \nL 116.05829 193.33131 \nL 108.895113 185.773229 \nL 101.458617 176.981012 \nL 93.857034 166.919755 \nL 86.236179 155.618105 \nL 78.782013 143.190599 \nL 71.719754 129.857453 \nL 65.307986 115.956338 \nL 59.826574 101.939578 \nL 55.558028 88.35137 \nL 52.763368 75.78275 \nL 51.655223 64.808278 \nL 52.372561 55.914801 \nL 54.961858 49.437779 \nL 59.36884 45.520681 \nL 65.442877 44.10692 \nL 72.953122 44.965151 \nL 81.613066 47.738965 \nL 91.108678 52.007033 \nL 101.125256 57.340047 \nL 111.369527 63.344513 \nL 121.58497 69.689531 \nL 131.560272 76.117598 \nL 150.181666 88.544025 \nL 166.443672 99.822056 \nL 180.109433 109.765732 \nL 185.996802 114.264517 \nL 191.297683 118.478439 \nL 196.055408 122.43275 \nL 200.317765 126.151746 \nL 204.134613 129.6575 \nL 207.556098 132.969273 \nL 213.407648 139.072785 \nL 218.239554 144.55755 \nL 227.865981 155.841706 \nL 231.374561 159.388555 \nL 233.152384 160.940063 \nL 234.971892 162.334335 \nL 236.850392 163.562565 \nL 238.803563 164.614415 \nL 240.845535 165.477949 \nL 242.988918 166.139642 \nL 245.244749 166.584316 \nL 247.622408 166.79521 \nL 250.129457 166.754048 \nL 252.771406 166.441198 \nL 255.551405 165.835987 \nL 258.469856 164.917115 \nL 261.523942 163.663262 \nL 264.707107 162.053946 \nL 268.008455 160.070576 \nL 271.412141 157.697831 \nL 274.896728 154.925285 \nL 278.434626 151.749314 \nL 281.991618 148.175172 \nL 285.526611 144.219192 \nL 288.991634 139.91083 \nL 292.332228 135.294484 \nL 295.488308 130.430583 \nL 298.395569 125.395853 \nL 300.987463 120.282328 \nL 303.197718 115.194912 \nL 304.963345 110.247466 \nL 306.227879 105.557533 \nL 306.944717 101.240024 \nL 307.080134 97.400509 \nL 306.615789 94.128801 \nL 305.550324 91.493573 \nL 303.899943 89.538725 \nL 301.697836 88.281848 \nL 298.992499 87.714928 \nL 295.845181 87.80702 \nL 292.326621 88.50852 \nL 288.513495 89.756259 \nL 284.484836 91.478844 \nL 280.318736 93.60164 \nL 276.089528 96.051024 \nL 271.865555 98.757625 \nL 267.707636 101.65856 \nL 263.668122 104.698597 \nL 259.790565 107.83064 \nL 256.10981 111.015512 \nL 252.652465 114.221351 \nL 249.437633 117.422745 \nL 246.477777 120.599795 \nL 243.779674 123.737142 \nL 241.345382 126.823063 \nL 239.173159 129.848696 \nL 237.258331 132.807306 \nL 235.59407 135.69376 \nL 234.172075 138.504043 \nL 232.983158 141.234864 \nL 232.017749 143.88339 \nL 231.266289 146.446987 \nL 230.719567 148.923043 \nL 230.368974 151.308808 \nL 230.206701 153.601271 \nL 230.225876 155.797033 \nL 230.420669 157.892204 \nL 230.786343 159.882299 \nL 231.319286 161.76212 \nL 232.017006 163.525648 \nL 232.878108 165.165938 \nL 233.902236 166.674977 \nL 235.090007 168.04355 \nL 236.44291 169.261106 \nL 237.963186 170.315598 \nL 239.653669 171.193365 \nL 241.517613 171.878972 \nL 243.558461 172.355116 \nL 245.779557 172.602537 \nL 248.183839 172.59999 \nL 250.773424 172.324304 \nL 253.549147 171.750564 \nL 256.510006 170.852421 \nL 259.652522 169.602603 \nL 262.970016 167.973713 \nL 266.451779 165.939298 \nL 270.082208 163.47529 \nL 273.839887 160.561859 \nL 277.696663 157.185629 \nL 281.616823 153.342298 \nL 285.55645 149.039555 \nL 289.463018 144.300047 \nL 293.275448 139.1642 \nL 296.924733 133.692475 \nL 300.335199 127.966642 \nL 303.426593 122.089574 \nL 306.116961 116.183172 \nL 308.326261 110.384116 \nL 309.980566 104.837536 \nL 311.016444 99.688869 \nL 311.385275 95.074735 \nL 311.05689 91.113776 \nL 310.02221 87.898616 \nL 308.294456 85.490176 \nL 305.908831 83.914801 \nL 302.920596 83.164727 \nL 299.40185 83.201548 \nL 295.437319 83.961982 \nL 291.119621 85.364982 \nL 286.544527 87.319219 \nL 281.806563 89.729949 \nL 276.99528 92.504832 \nL 272.192419 95.558186 \nL 267.469949 98.813735 \nL 262.888973 102.206019 \nL 258.499412 105.6806 \nL 254.340267 109.193547 \nL 250.440358 112.710357 \nL 246.819334 116.204655 \nL 243.488871 119.656779 \nL 240.453919 123.05247 \nL 237.713941 126.381661 \nL 235.264083 129.637439 \nL 233.096233 132.815214 \nL 231.19997 135.912038 \nL 229.563361 138.926052 \nL 228.173659 141.856082 \nL 227.017856 144.701365 \nL 226.08315 147.46128 \nL 225.357291 150.1352 \nL 224.828871 152.722349 \nL 224.487514 155.221709 \nL 224.324033 157.631924 \nL 224.330526 159.95123 \nL 224.500433 162.177375 \nL 224.828565 164.307536 \nL 225.31111 166.33825 \nL 225.945611 168.2653 \nL 226.730935 170.083602 \nL 227.667238 171.787109 \nL 228.75589 173.368627 \nL 229.999418 174.819705 \nL 231.401411 176.130422 \nL 232.966422 177.289236 \nL 234.699844 178.282762 \nL 236.607746 179.095538 \nL 238.696694 179.709858 \nL 240.973512 180.105548 \nL 243.444982 180.259779 \nL 246.117493 180.146967 \nL 248.996578 179.738734 \nL 252.086382 179.003999 \nL 255.388984 177.909242 \nL 258.903613 176.419072 \nL 262.62572 174.497049 \nL 266.545908 172.107009 \nL 270.648765 169.214869 \nL 274.91155 165.79099 \nL 279.302933 161.813261 \nL 283.781704 157.270729 \nL 288.295761 152.167793 \nL 292.781377 146.528605 \nL 297.163107 140.401426 \nL 301.35445 133.862131 \nL 305.259537 127.016358 \nL 308.775986 119.999345 \nL 311.798954 112.972831 \nL 314.226377 106.11852 \nL 315.964965 99.628275 \nL 316.936544 93.691615 \nL 317.084073 88.481848 \nL 316.37654 84.142751 \nL 314.812174 80.777692 \nL 312.419356 78.442742 \nL 309.255169 77.14496 \nL 305.401726 76.845636 \nL 300.960723 77.467846 \nL 296.046895 78.906713 \nL 290.781243 81.040709 \nL 285.284572 83.742407 \nL 279.671958 86.88749 \nL 274.048511 90.361412 \nL 268.506433 94.06359 \nL 263.123439 97.909353 \nL 257.962245 101.830133 \nL 253.071003 105.772396 \nL 248.484347 109.695866 \nL 244.224871 113.571383 \nL 240.304796 117.378741 \nL 236.727718 121.1047 \nL 233.490296 124.741209 \nL 230.583818 128.284015 \nL 227.995599 131.731446 \nL 225.710198 135.08357 \nL 223.710444 138.341542 \nL 221.978284 141.507096 \nL 220.49547 144.582267 \nL 219.244096 147.569122 \nL 218.207011 150.469637 \nL 217.368125 153.285616 \nL 216.712624 156.018593 \nL 216.227122 158.669856 \nL 215.899745 161.240369 \nL 215.720177 163.730791 \nL 215.679672 166.141445 \nL 215.771043 168.472283 \nL 215.988636 170.722868 \nL 216.328287 172.89234 \nL 216.787281 174.979336 \nL 217.364308 176.981956 \nL 218.059411 178.897664 \nL 218.873951 180.723198 \nL 219.81056 182.454464 \nL 220.873103 184.086397 \nL 222.066643 185.612797 \nL 223.397401 187.026152 \nL 224.872717 188.317423 \nL 226.500994 189.475803 \nL 228.291641 190.488441 \nL 230.254983 191.340137 \nL 232.402153 192.012995 \nL 234.744927 192.486087 \nL 237.295521 192.735048 \nL 240.066297 192.731728 \nL 243.06939 192.443842 \nL 246.316214 191.834711 \nL 249.816805 190.863139 \nL 253.579018 189.483487 \nL 257.607496 187.646096 \nL 261.902426 185.298163 \nL 266.458029 182.385227 \nL 271.260817 178.853497 \nL 276.28761 174.653168 \nL 281.503438 169.742869 \nL 286.85936 164.095382 \nL 292.290519 157.704423 \nL 297.714631 150.592303 \nL 303.031304 142.817632 \nL 308.122654 134.482118 \nL 312.855569 125.734974 \nL 317.086031 116.773273 \nL 320.66567 107.836831 \nL 323.450329 99.196546 \nL 325.310103 91.136422 \nL 326.139816 83.930827 \nL 325.868674 77.819998 \nL 324.467598 72.98772 \nL 321.953093 69.545106 \nL 318.386918 67.523407 \nL 313.871551 66.876777 \nL 308.542126 67.493969 \nL 302.55611 69.216058 \nL 296.082082 71.856666 \nL 289.289088 75.221267 \nL 282.337569 79.123084 \nL 275.372497 83.39428 \nL 268.518942 87.892359 \nL 261.879852 92.502371 \nL 255.535737 97.13608 \nL 249.54576 101.729122 \nL 243.94974 106.23715 \nL 238.770714 110.631794 \nL 234.017673 114.896781 \nL 229.688283 119.02464 \nL 225.771403 123.01396 \nL 222.249342 126.867249 \nL 219.099791 130.589383 \nL 216.297452 134.186467 \nL 213.815356 137.665063 \nL 211.625901 141.031706 \nL 209.701667 144.292616 \nL 208.016013 147.453535 \nL 206.543503 150.519671 \nL 205.2602 153.495718 \nL 203.173916 159.193811 \nL 201.600239 164.57621 \nL 200.40992 169.665915 \nL 199.498914 174.482072 \nL 198.480632 181.228799 \nL 195.493303 203.287764 \nL 194.480879 207.73424 \nL 193.648347 210.48402 \nL 192.650475 213.064197 \nL 191.446777 215.472566 \nL 189.98858 217.701821 \nL 188.216823 219.737299 \nL 187.191454 220.674968 \nL 186.059555 221.553568 \nL 184.809654 222.367414 \nL 183.429107 223.109397 \nL 181.903994 223.770667 \nL 180.219033 224.340277 \nL 178.357483 224.804735 \nL 176.301077 225.147472 \nL 174.029975 225.348217 \nL 171.52275 225.382263 \nL 168.756451 225.219604 \nL 165.706731 224.823976 \nL 162.348111 224.151776 \nL 158.654403 223.150914 \nL 154.599356 221.759647 \nL 150.157608 219.905515 \nL 145.306024 217.504548 \nL 140.025509 214.461011 \nL 134.303449 210.668062 \nL 128.136848 206.009875 \nL 121.536255 200.365852 \nL 114.530535 193.617737 \nL 107.172302 185.660436 \nL 99.54385 176.417116 \nL 91.76286 165.858681 \nL 83.987129 154.026685 \nL 76.41685 141.057138 \nL 69.292978 127.200819 \nL 62.890014 112.833776 \nL 57.50193 98.450956 \nL 53.421206 84.637382 \nL 50.912317 72.01559 \nL 50.183084 61.174821 \nL 51.358837 52.594939 \nL 54.464543 46.582518 \nL 59.419068 43.234782 \nL 66.042963 42.440254 \nL 74.07829 43.913712 \nL 83.216204 47.254083 \nL 93.126904 52.009437 \nL 103.487077 57.734859 \nL 114.00135 64.034222 \nL 124.416363 70.583419 \nL 144.18039 83.524758 \nL 161.719125 95.417501 \nL 176.617591 105.907768 \nL 183.072338 110.634847 \nL 188.898829 115.045498 \nL 194.137258 119.166689 \nL 198.834398 123.025531 \nL 203.040638 126.647359 \nL 206.807736 130.054754 \nL 213.228929 136.300373 \nL 218.487745 141.878652 \nL 230.520164 155.128911 \nL 232.317128 156.837769 \nL 234.122207 158.395 \nL 235.955575 159.793908 \nL 237.83543 161.026355 \nL 239.778123 162.082726 \nL 241.798242 162.951927 \nL 243.908647 163.621385 \nL 246.120463 164.077048 \nL 248.442999 164.303463 \nL 250.883622 164.283878 \nL 253.447562 164.000428 \nL 256.137635 163.434453 \nL 258.95391 162.566912 \nL 261.8933 161.378985 \nL 264.949097 159.85288 \nL 268.110481 157.972801 \nL 271.361953 155.726233 \nL 274.682861 153.105371 \nL 278.046886 150.108843 \nL 281.421712 146.743487 \nL 284.76885 143.026266 \nL 288.043697 138.985978 \nL 291.195958 134.664729 \nL 294.170495 130.11881 \nL 296.908584 125.418775 \nL 299.34972 120.648484 \nL 301.433862 115.902927 \nL 303.104041 111.284816 \nL 304.309245 106.899987 \nL 305.007279 102.852049 \nL 305.167414 99.236573 \nL 304.772554 96.135599 \nL 303.8207 93.612954 \nL 302.325471 91.71103 \nL 300.315708 90.449193 \nL 297.834101 89.824179 \nL 294.935028 89.812159 \nL 291.681809 90.372134 \nL 288.143611 91.450188 \nL 284.392324 92.984048 \nL 280.4996 94.907473 \nL 276.534285 97.154033 \nL 272.560344 99.660117 \nL 268.635354 102.367148 \nL 264.809541 105.222847 \nL 261.125316 108.181858 \nL 257.617253 111.205773 \nL 254.312418 114.262742 \nL 251.230915 117.326828 \nL 248.386617 120.377253 \nL 245.787992 123.397544 \nL 243.438942 126.374774 \nL 241.339638 129.298832 \nL 239.487312 132.161782 \nL 237.876985 134.957327 \nL 236.502095 137.680335 \nL 235.355081 140.326495 \nL 234.427832 142.89201 \nL 233.712112 145.373341 \nL 233.199869 147.767015 \nL 232.883497 150.069455 \nL 232.756035 152.276836 \nL 232.811314 154.384971 \nL 233.044059 156.389156 \nL 233.449947 158.284106 \nL 234.025646 160.063813 \nL 234.768795 161.721426 \nL 235.677989 163.249162 \nL 236.752711 164.638149 \nL 237.993251 165.878322 \nL 239.400602 166.958294 \nL 240.976304 167.865251 \nL 242.722283 168.584828 \nL 244.640626 169.101027 \nL 246.733328 169.396173 \nL 249.001991 169.450909 \nL 251.447444 169.244288 \nL 254.069327 168.75394 \nL 256.865585 167.956399 \nL 259.831889 166.827596 \nL 262.961002 165.343579 \nL 266.242055 163.481462 \nL 269.659791 161.220718 \nL 273.193781 158.544786 \nL 276.817644 155.442963 \nL 280.49837 151.912655 \nL 284.195772 147.961788 \nL 287.862194 143.61131 \nL 291.442577 138.897529 \nL 294.875002 133.873969 \nL 298.091788 128.612424 \nL 301.021259 123.202828 \nL 303.590158 117.751612 \nL 305.726689 112.378304 \nL 307.364027 107.210415 \nL 308.444073 102.376839 \nL 308.921112 98.000339 \nL 308.765047 94.189814 \nL 307.963813 91.033398 \nL 306.52467 88.593095 \nL 304.474251 86.901799 \nL 301.857291 85.962866 \nL 298.734165 85.752162 \nL 295.177512 86.222335 \nL 291.268348 87.308344 \nL 287.091957 88.933648 \nL 282.733998 91.016131 \nL 278.277096 93.473471 \nL 273.798049 96.227157 \nL 269.365824 99.205532 \nL 265.040266 102.345436 \nL 260.871513 105.592962 \nL 256.899979 108.903362 \nL 253.156775 112.240423 \nL 249.664453 115.57552 \nL 246.437954 118.886492 \nL 243.485667 122.15653 \nL 240.810513 125.373101 \nL 238.410984 128.527009 \nL 236.282132 131.611566 \nL 234.416457 134.621945 \nL 232.804685 137.554617 \nL 231.43645 140.406931 \nL 230.300847 143.176758 \nL 229.386903 145.862277 \nL 228.683958 148.461713 \nL 228.181952 150.973235 \nL 227.87166 153.394793 \nL 227.744852 155.724 \nL 227.794411 157.958063 \nL 228.014412 160.093652 \nL 228.400162 162.126846 \nL 228.948207 164.05299 \nL 229.656324 165.866618 \nL 230.523492 167.561301 \nL 231.54983 169.12955 \nL 232.736538 170.562646 \nL 234.085798 171.850498 \nL 235.600664 172.981485 \nL 237.284926 173.942272 \nL 239.142935 174.717664 \nL 241.179401 175.290421 \nL 243.399143 175.641133 \nL 245.806771 175.748135 \nL 248.406315 175.587465 \nL 251.200781 175.132928 \nL 254.191592 174.356315 \nL 257.377965 173.227789 \nL 260.756153 171.716518 \nL 264.31859 169.791662 \nL 268.052947 167.423677 \nL 271.941108 164.586121 \nL 275.958084 161.257893 \nL 280.070985 157.426009 \nL 284.238079 153.088782 \nL 288.408119 148.259309 \nL 292.520001 142.968963 \nL 296.503011 137.270595 \nL 300.277794 131.24084 \nL 303.758158 124.981056 \nL 306.853848 118.616225 \nL 309.474278 112.291449 \nL 311.533039 106.165768 \nL 312.952959 100.403571 \nL 313.671244 95.164214 \nL 313.644148 90.591023 \nL 312.850658 86.801026 \nL 311.294689 83.876834 \nL 309.005476 81.861851 \nL 306.036077 80.759395 \nL 302.460127 80.53568 \nL 298.367315 81.125876 \nL 293.858017 82.442278 \nL 289.037712 84.38316 \nL 284.011769 86.84132 \nL 278.880871 89.711252 \nL 273.737489 92.894646 \nL 268.663381 96.303891 \nL 263.728169 99.863991 \nL 258.98881 103.512949 \nL 254.489831 107.201152 \nL 250.26411 110.890128 \nL 246.334022 114.550953 \nL 242.712804 118.162574 \nL 239.405982 121.710197 \nL 236.412796 125.183842 \nL 233.727549 128.577119 \nL 231.340816 131.88624 \nL 229.240519 135.109212 \nL 227.412848 138.245233 \nL 225.843042 141.294237 \nL 224.516014 144.256557 \nL 223.416866 147.1327 \nL 222.531287 149.923141 \nL 221.845855 152.628235 \nL 221.348261 155.248114 \nL 221.027467 157.782626 \nL 220.873812 160.231265 \nL 220.879076 162.593135 \nL 221.036502 164.866882 \nL 221.340811 167.050615 \nL 221.788181 169.141894 \nL 222.376221 171.137579 \nL 223.103936 173.033779 \nL 223.971683 174.825725 \nL 224.981115 176.507634 \nL 226.135128 178.072583 \nL 227.437796 179.512319 \nL 228.894297 180.817055 \nL 230.510822 181.975291 \nL 232.294465 182.973539 \nL 234.253097 183.796097 \nL 236.395194 184.424774 \nL 238.729616 184.838627 \nL 241.265339 185.013697 \nL 244.01111 184.922811 \nL 246.975003 184.535435 \nL 250.163876 183.817642 \nL 253.582676 182.732271 \nL 257.233615 181.23934 \nL 261.115182 179.296788 \nL 265.220947 176.861733 \nL 269.538241 173.892239 \nL 274.04665 170.349853 \nL 278.716448 166.202916 \nL 283.506978 161.430697 \nL 288.365261 156.028294 \nL 293.224847 150.012086 \nL 298.005305 143.425247 \nL 302.612576 136.342756 \nL 306.940453 128.874868 \nL 310.873526 121.168089 \nL 314.291606 113.402642 \nL 317.075707 105.785608 \nL 319.115155 98.539652 \nL 320.315334 91.887984 \nL 320.605207 86.037196 \nL 319.943663 81.160217 \nL 318.323792 77.382049 \nL 315.774432 74.770651 \nL 312.35865 73.334244 \nL 308.169403 73.025381 \nL 303.322932 73.750386 \nL 297.950829 75.38252 \nL 292.191705 77.776213 \nL 286.183406 80.780496 \nL 280.056421 84.25003 \nL 273.928903 88.052943 \nL 267.903362 92.075526 \nL 262.065013 96.224048 \nL 256.481445 100.424443 \nL 251.203349 104.620565 \nL 246.265953 108.7717 \nL 241.690888 112.849755 \nL 237.488262 116.836537 \nL 233.658732 120.721326 \nL 230.195497 124.498797 \nL 227.086075 128.167387 \nL 224.313897 131.727993 \nL 221.859646 135.183027 \nL 219.702378 138.535761 \nL 217.82043 141.789841 \nL 216.192133 144.948966 \nL 214.796367 148.016715 \nL 213.61297 150.996445 \nL 212.623033 153.891236 \nL 211.809093 156.703847 \nL 211.155257 159.436757 \nL 210.647264 162.092151 \nL 210.019971 167.177793 \nL 209.845574 171.973077 \nL 210.066886 176.486409 \nL 210.649148 180.722196 \nL 211.57799 184.680189 \nL 212.857763 188.354278 \nL 213.63543 190.080894 \nL 214.510384 191.730575 \nL 215.488012 193.299912 \nL 216.574758 194.784578 \nL 217.778125 196.179188 \nL 219.106686 197.477084 \nL 220.570096 198.670129 \nL 222.179096 199.748426 \nL 223.945511 200.700013 \nL 225.882229 201.510518 \nL 228.00316 202.162734 \nL 230.323159 202.636178 \nL 232.857897 202.906574 \nL 235.623655 202.945323 \nL 238.63704 202.718936 \nL 241.914577 202.188495 \nL 245.472143 201.309158 \nL 249.324215 200.02985 \nL 253.482854 198.293165 \nL 257.956452 196.035707 \nL 262.748095 193.189041 \nL 267.853595 189.681513 \nL 273.259115 185.441238 \nL 278.938454 180.400588 \nL 284.850067 174.50241 \nL 290.933991 167.708196 \nL 297.108963 160.008065 \nL 303.270244 151.432018 \nL 309.288625 142.061434 \nL 315.011412 132.038878 \nL 320.265971 121.573938 \nL 324.866447 110.942212 \nL 328.623778 100.475154 \nL 331.358662 90.539491 \nL 332.916248 81.507295 \nL 333.180821 73.720223 \nL 332.088226 67.453827 \nL 329.63391 62.888802 \nL 325.874961 60.094955 \nL 320.92576 59.030809 \nL 314.947882 59.55816 \nL 308.136044 61.467506 \nL 300.702299 64.508306 \nL 292.860806 68.418364 \nL 284.814823 72.947788 \nL 276.746986 77.875574 \nL 268.813216 83.018375 \nL 261.139904 88.232892 \nL 253.8238 93.413564 \nL 246.933865 98.487567 \nL 240.514298 103.408694 \nL 234.588222 108.151093 \nL 229.161495 112.703661 \nL 224.226354 117.065394 \nL 219.764731 121.241722 \nL 215.751123 125.241755 \nL 212.154998 129.076367 \nL 208.942753 132.75689 \nL 206.079273 136.294306 \nL 203.529114 139.698763 \nL 201.257396 142.979333 \nL 199.230438 146.143953 \nL 195.78447 152.151576 \nL 192.958132 157.764158 \nL 189.449534 165.502284 \nL 186.33558 172.466106 \nL 184.258379 176.682957 \nL 182.048847 180.548438 \nL 180.862214 182.343002 \nL 179.604388 184.040298 \nL 178.263014 185.635153 \nL 176.825671 187.121173 \nL 175.279761 188.490528 \nL 173.612428 189.73375 \nL 171.810487 190.839458 \nL 169.860387 191.794083 \nL 167.748222 192.581527 \nL 165.459771 193.182831 \nL 162.980601 193.575769 \nL 160.29624 193.734483 \nL 157.392446 193.629084 \nL 154.255577 193.225324 \nL 150.873102 192.484346 \nL 147.234274 191.362602 \nL 143.331008 189.812005 \nL 139.15897 187.78049 \nL 134.718921 185.213063 \nL 130.018337 182.053575 \nL 125.073271 178.247419 \nL 119.910446 173.745305 \nL 114.569468 168.508266 \nL 109.105023 162.513978 \nL 103.588796 155.76417 \nL 98.110815 148.292696 \nL 92.779788 140.173409 \nL 87.721967 131.526628 \nL 83.078125 122.522543 \nL 78.998307 113.379862 \nL 75.634291 104.358178 \nL 73.130094 95.743496 \nL 71.61123 87.827434 \nL 71.174006 80.882471 \nL 71.876159 75.136673 \nL 73.730471 70.75236 \nL 76.702305 67.812447 \nL 80.711643 66.316954 \nL 85.639298 66.189757 \nL 91.336389 67.29372 \nL 97.635572 69.450648 \nL 104.362617 72.462468 \nL 111.346872 76.130132 \nL 118.429788 80.268218 \nL 125.470971 84.71446 \nL 132.351788 89.334451 \nL 138.976734 94.022361 \nL 145.273085 98.698977 \nL 151.18929 103.308189 \nL 156.692579 107.812716 \nL 161.766218 112.18996 \nL 166.406642 116.428199 \nL 170.620728 120.523357 \nL 174.423312 124.476513 \nL 177.835006 128.291923 \nL 180.880356 131.975623 \nL 183.586322 135.534464 \nL 185.981047 138.975456 \nL 188.092913 142.305363 \nL 189.949815 145.53051 \nL 191.578633 148.656639 \nL 193.004865 151.68893 \nL 195.343354 157.489913 \nL 197.135106 162.964509 \nL 198.521688 168.137483 \nL 199.618535 173.029019 \nL 200.918762 179.874945 \nL 203.455227 193.781708 \nL 204.708385 198.934172 \nL 205.699043 202.114775 \nL 206.862468 205.09304 \nL 208.245742 207.865019 \nL 209.903383 210.420412 \nL 210.854771 211.611297 \nL 211.899832 212.73988 \nL 213.048607 213.801674 \nL 214.312094 214.791046 \nL 215.702339 215.700956 \nL 217.232519 216.522689 \nL 218.917027 217.245509 \nL 220.771542 217.856257 \nL 222.813075 218.338864 \nL 225.060003 218.673793 \nL 227.532055 218.837378 \nL 230.25023 218.801081 \nL 233.236646 218.530651 \nL 236.514264 217.985209 \nL 240.106476 217.116295 \nL 244.03645 215.86692 \nL 248.326251 214.170763 \nL 252.995584 211.95162 \nL 258.060125 209.123389 \nL 263.529335 205.590877 \nL 269.403665 201.251899 \nL 275.671099 196.00118 \nL 282.303045 189.736702 \nL 289.249693 182.369096 \nL 296.435032 173.834516 \nL 303.752082 164.11096 \nL 311.059083 153.237251 \nL 318.177655 141.332585 \nL 324.894287 128.613215 \nL 330.966343 115.401371 \nL 336.133617 102.120891 \nL 340.135633 89.275135 \nL 342.733571 77.405783 \nL 343.734302 67.036312 \nL 343.012772 58.609287 \nL 340.528495 52.430844 \nL 336.332718 48.63522 \nL 330.564419 47.177464 \nL 323.436033 47.854925 \nL 315.211613 50.350154 \nL 306.181745 54.283469 \nL 296.639262 59.26353 \nL 286.859052 64.927023 \nL 277.083624 70.964037 \nL 267.51483 77.129258 \nL 258.31095 83.242147 \nL 241.423322 94.86779 \nL 233.861615 100.266263 \nL 226.92024 105.362264 \nL 220.595294 110.159657 \nL 214.866788 114.672684 \nL 209.70318 118.920995 \nL 205.065121 122.926246 \nL 200.908463 126.70988 \nL 197.186613 130.291796 \nL 193.852304 133.689642 \nL 188.161312 139.991008 \nL 183.484382 145.704907 \nL 172.631545 159.728326 \nL 169.309637 163.367993 \nL 167.602355 164.977184 \nL 165.839838 166.436399 \nL 164.005543 167.736595 \nL 162.084174 168.867105 \nL 160.0616 169.815539 \nL 157.924855 170.567683 \nL 155.662168 171.107406 \nL 153.263059 171.416632 \nL 150.718517 171.475289 \nL 148.021231 171.261418 \nL 145.165942 170.751324 \nL 142.14985 169.919908 \nL 138.973154 168.741186 \nL 135.639649 167.18903 \nL 132.157449 165.238198 \nL 128.539758 162.86573 \nL 124.805697 160.052709 \nL 120.981114 156.786362 \nL 117.09937 153.062578 \nL 113.201904 148.888653 \nL 109.338591 144.286129 \nL 105.567675 139.293486 \nL 101.955187 133.968323 \nL 98.573735 128.388632 \nL 95.500538 122.652678 \nL 92.814709 116.877146 \nL 90.593806 111.193258 \nL 88.909881 105.740897 \nL 87.825239 100.660979 \nL 87.388315 96.086834 \nL 87.630095 92.135433 \nL 88.561478 88.899631 \nL 90.171971 86.442387 \nL 92.429808 84.79375 \nL 95.283597 83.95084 \nL 98.665284 83.880822 \nL 102.494057 84.526097 \nL 106.680837 85.810925 \nL 111.132828 87.648534 \nL 115.757818 89.947789 \nL 120.467852 92.618922 \nL 125.182077 95.577837 \nL 129.828808 98.748982 \nL 134.346691 102.066937 \nL 138.685143 105.476821 \nL 142.804189 108.933925 \nL 146.673846 112.402791 \nL 150.27319 115.856003 \nL 153.58924 119.27288 \nL 156.615756 122.638198 \nL 159.352053 125.940994 \nL 161.801846 129.173591 \nL 163.972213 132.330723 \nL 165.872665 135.408831 \nL 167.514326 138.40556 \nL 168.909251 141.319306 \nL 170.069856 144.148916 \nL 171.008448 146.893435 \nL 171.736861 149.551929 \nL 172.266172 152.12333 \nL 172.606481 154.606349 \nL 172.766758 156.999365 \nL 172.754739 159.300345 \nL 172.57686 161.506763 \nL 172.238222 163.615518 \nL 171.742582 165.622832 \nL 171.092373 167.524155 \nL 170.288733 169.314068 \nL 169.331543 170.986133 \nL 168.219502 172.532766 \nL 166.950195 173.945086 \nL 165.520181 175.212714 \nL 163.925116 176.323631 \nL 162.159877 177.263938 \nL 160.218741 178.017694 \nL 158.095585 178.566708 \nL 155.784146 178.890348 \nL 153.278331 178.965412 \nL 150.572606 178.76606 \nL 147.662473 178.263826 \nL 144.545038 177.427813 \nL 141.219717 176.225014 \nL 137.689032 174.621021 \nL 133.959558 172.580959 \nL 130.04299 170.070963 \nL 125.957298 167.060106 \nL 121.727977 163.522911 \nL 117.389258 159.442481 \nL 112.985214 154.814153 \nL 108.570651 149.649574 \nL 104.211536 143.980834 \nL 99.984836 137.864339 \nL 95.977537 131.383643 \nL 92.284609 124.650748 \nL 89.005887 117.804946 \nL 86.241786 111.008749 \nL 84.088079 104.440664 \nL 82.630035 98.284934 \nL 81.936451 92.719276 \nL 82.054287 87.901802 \nL 83.004473 83.959139 \nL 84.779567 80.977177 \nL 87.34354 78.996077 \nL 90.633864 78.01004 \nL 94.565506 77.971634 \nL 99.036445 78.799645 \nL 103.933986 80.389176 \nL 109.141149 82.62217 \nL 114.542598 85.377135 \nL 120.029552 88.537119 \nL 125.503537 91.995415 \nL 130.878844 95.658978 \nL 136.083798 99.449872 \nL 141.061002 103.305231 \nL 145.766792 107.176054 \nL 150.170165 111.02549 \nL 154.25131 114.826829 \nL 158.000008 118.561507 \nL 161.413981 122.217257 \nL 164.4973 125.786544 \nL 167.258925 129.265226 \nL 169.711401 132.651558 \nL 171.869726 135.94534 \nL 173.750402 139.147373 \nL 175.370648 142.258993 \nL 176.747763 145.281792 \nL 177.898635 148.217393 \nL 178.839355 151.067331 \nL 179.584937 153.832951 \nL 180.149119 156.515341 \nL 180.544224 159.115322 \nL 180.781083 161.633388 \nL 180.868988 164.069683 \nL 180.81569 166.423979 \nL 180.627396 168.695646 \nL 180.308811 170.883567 \nL 179.863163 172.98614 \nL 179.292243 175.001162 \nL 178.59646 176.92577 \nL 177.774876 178.756349 \nL 176.825254 180.488388 \nL 175.744102 182.116353 \nL 174.526722 183.633543 \nL 173.167249 185.031874 \nL 171.658718 186.301691 \nL 169.99312 187.431505 \nL 168.161491 188.407741 \nL 166.154012 189.214417 \nL 163.960158 189.832849 \nL 161.568869 190.241287 \nL 158.968823 190.414597 \nL 156.148734 190.323931 \nL 153.097795 189.936469 \nL 149.80622 189.215251 \nL 146.265935 188.119187 \nL 142.471451 186.603304 \nL 138.420934 184.619371 \nL 134.117492 182.117016 \nL 129.5707 179.045523 \nL 124.798302 175.356414 \nL 119.828145 171.007062 \nL 114.700128 165.96533 \nL 109.468102 160.215325 \nL 104.201503 153.764001 \nL 98.986379 146.648228 \nL 93.925451 138.941515 \nL 89.136887 130.759307 \nL 84.751346 122.261443 \nL 80.907079 113.650416 \nL 77.743069 105.164162 \nL 75.390528 97.063028 \nL 73.963391 89.611452 \nL 73.548878 83.056398 \nL 74.199346 77.605402 \nL 75.926623 73.408078 \nL 78.699842 70.54406 \nL 82.447108 69.01951 \nL 87.060836 68.772424 \nL 92.40594 69.685143 \nL 98.329706 71.601395 \nL 104.672045 74.344626 \nL 111.274936 77.734736 \nL 117.99025 81.601447 \nL 124.68549 85.793429 \nL 131.247372 90.183085 \nL 137.583401 94.668018 \nL 143.621883 99.169798 \nL 149.310701 103.631217 \nL 154.615351 108.012783 \nL 159.516537 112.289074 \nL 164.007623 116.44535 \nL 168.09217 120.474621 \nL 171.781608 124.375273 \nL 175.09321 128.149196 \nL 178.048318 131.800405 \nL 180.670887 135.334053 \nL 182.986277 138.755756 \nL 185.020309 142.071164 \nL 186.798534 145.285694 \nL 188.345685 148.404372 \nL 189.685287 151.431818 \nL 190.839393 154.372179 \nL 191.828423 157.229214 \nL 193.384336 162.706424 \nL 194.482028 167.886714 \nL 195.224302 172.789421 \nL 195.690499 177.431075 \nL 195.939828 181.826206 \nL 195.995985 187.984803 \nL 195.743108 193.656562 \nL 195.214389 198.874647 \nL 194.705541 202.114932 \nL 194.058473 205.171797 \nL 193.253724 208.049299 \nL 192.264141 210.748778 \nL 191.054051 213.267837 \nL 189.577999 215.598761 \nL 187.779045 217.726203 \nL 186.737031 218.705917 \nL 185.586638 219.623729 \nL 184.316507 220.473756 \nL 182.914094 221.248654 \nL 181.365585 221.939305 \nL 179.655805 222.534454 \nL 177.768145 223.020252 \nL 175.684494 223.37973 \nL 173.385211 223.592178 \nL 170.849134 223.632402 \nL 168.053647 223.469896 \nL 164.974845 223.067874 \nL 161.587814 222.382243 \nL 157.86709 221.360488 \nL 153.787349 219.940582 \nL 149.324391 218.050019 \nL 144.456516 215.605162 \nL 139.166401 212.511152 \nL 133.443561 208.662813 \nL 127.287506 203.947024 \nL 120.711663 198.247243 \nL 113.74808 191.450912 \nL 106.452738 183.460486 \nL 98.911214 174.20858 \nL 91.244055 163.677142 \nL 83.610975 151.919609 \nL 76.212523 139.083316 \nL 69.287784 125.427781 \nL 63.106542 111.332703 \nL 57.954875 97.289261 \nL 54.114224 83.869603 \nL 51.835666 71.674351 \nL 51.312525 61.263994 \nL 52.656325 53.08709 \nL 55.880822 47.421651 \nL 60.897728 44.344067 \nL 67.525393 43.732732 \nL 75.508566 45.303547 \nL 84.545109 48.665783 \nL 94.314639 53.383743 \nL 104.504475 59.030828 \nL 114.829793 65.22835 \nL 125.046749 71.666834 \nL 134.958747 78.112053 \nL 153.318393 90.427977 \nL 169.224218 101.506637 \nL 176.191893 106.534661 \nL 182.515544 111.236127 \nL 188.224363 115.633128 \nL 193.3576 119.751009 \nL 197.96091 123.615373 \nL 202.083487 127.250252 \nL 205.775884 130.677097 \nL 212.069961 136.977424 \nL 217.224501 142.627638 \nL 229.020464 156.180293 \nL 232.557242 159.577252 \nL 234.359808 161.048 \nL 236.210245 162.356819 \nL 238.125165 163.494264 \nL 240.119563 164.449347 \nL 242.20684 165.209514 \nL 244.398813 165.760627 \nL 246.705649 166.086975 \nL 249.135741 166.171331 \nL 251.695531 165.995093 \nL 254.389229 165.538524 \nL 257.218481 164.781095 \nL 260.181958 163.70203 \nL 263.274864 162.28101 \nL 266.488398 160.499129 \nL 269.809157 158.340064 \nL 273.218539 155.791596 \nL 276.692154 152.847305 \nL 280.199355 149.508535 \nL 283.702867 145.786449 \nL 287.15869 141.704111 \nL 290.516315 137.298354 \nL 293.719339 132.621156 \nL 296.706594 127.740294 \nL 299.413832 122.738942 \nL 301.775905 117.71397 \nL 303.7295 112.772839 \nL 305.21617 108.029076 \nL 306.185572 103.596628 \nL 306.598548 99.583479 \nL 306.429804 96.08527 \nL 305.669939 93.179546 \nL 304.326446 90.921406 \nL 302.423751 89.340937 \nL 300.002065 88.44289 \nL 297.115338 88.208281 \nL 293.828388 88.597789 \nL 290.213602 89.556354 \nL 286.347433 91.018192 \nL 282.307042 92.911912 \nL 278.167311 95.164977 \nL 273.998388 97.707311 \nL 269.863827 100.474028 \nL 265.819378 103.407111 \nL 261.912358 106.456172 \nL 258.181512 109.578648 \nL 254.657308 112.739395 \nL 251.362489 115.909977 \nL 248.312857 119.067814 \nL 245.51816 122.19526 \nL 242.983028 125.278672 \nL 240.707884 128.307605 \nL 238.689833 131.274085 \nL 236.923453 134.171986 \nL 235.401519 136.996521 \nL 234.115629 139.743826 \nL 233.056733 142.410639 \nL 232.215579 144.994011 \nL 231.583076 147.491119 \nL 231.150581 149.899074 \nL 230.910127 152.214793 \nL 230.854592 154.434871 \nL 230.977808 156.555445 \nL 231.274651 158.572116 \nL 231.741075 160.479811 \nL 232.374124 162.272701 \nL 233.171919 163.94406 \nL 234.133611 165.486153 \nL 235.259326 166.890107 \nL 236.550062 168.145782 \nL 238.007588 169.241608 \nL 239.634295 170.164476 \nL 241.433015 170.899583 \nL 243.406813 171.430349 \nL 245.558728 171.738316 \nL 247.891455 171.803116 \nL 250.406967 171.602524 \nL 253.106085 171.112615 \nL 255.987941 170.308043 \nL 259.049378 169.162489 \nL 262.284264 167.649415 \nL 265.682711 165.743017 \nL 269.230245 163.419552 \nL 272.906926 160.659045 \nL 276.686466 157.447358 \nL 280.535411 153.778654 \nL 284.412479 149.658092 \nL 288.268138 145.104695 \nL 292.044564 140.154092 \nL 295.676098 134.860828 \nL 299.090358 129.299796 \nL 302.21007 123.566351 \nL 304.955667 117.774764 \nL 307.248602 112.054646 \nL 309.01529 106.545307 \nL 310.191294 101.388388 \nL 310.725503 96.719251 \nL 310.583864 92.658167 \nL 309.752144 89.302284 \nL 308.237504 86.719465 \nL 306.068553 84.944795 \nL 303.293943 83.980183 \nL 299.979564 83.796838 \nL 296.204749 84.340253 \nL 292.057801 85.536689 \nL 287.631433 87.300293 \nL 283.018377 89.539908 \nL 278.307615 92.164986 \nL 273.581351 95.090132 \nL 268.912847 98.238249 \nL 264.365149 101.5422 \nL 259.990511 104.945445 \nL 255.830496 108.401748 \nL 251.916534 111.874305 \nL 248.270829 115.334586 \nL 244.907447 118.760993 \nL 241.833522 122.137576 \nL 239.050452 125.45285 \nL 236.555062 128.698716 \nL 234.340661 131.869622 \nL 232.397999 134.961839 \nL 230.716094 137.972877 \nL 229.282941 140.901075 \nL 228.086104 143.745242 \nL 227.113185 146.504442 \nL 226.352225 149.177761 \nL 225.791981 151.764185 \nL 225.422162 154.262496 \nL 225.233594 156.671137 \nL 225.218322 158.988172 \nL 225.369691 161.211179 \nL 225.682379 163.337171 \nL 226.152412 165.362505 \nL 226.777142 167.282782 \nL 227.555232 169.092757 \nL 228.486601 170.78619 \nL 229.572375 172.355708 \nL 230.814807 173.792677 \nL 232.217189 175.087006 \nL 233.783749 176.226969 \nL 235.519513 177.199032 \nL 237.430145 177.987616 \nL 239.521751 178.574922 \nL 241.800633 178.940744 \nL 244.272984 179.062322 \nL 246.944512 178.914253 \nL 249.819992 178.468482 \nL 252.902696 177.694455 \nL 256.193733 176.559442 \nL 259.691253 175.029112 \nL 263.389529 173.068483 \nL 267.277912 170.643244 \nL 271.339679 167.721627 \nL 275.550804 164.27681 \nL 279.878705 160.289951 \nL 284.281139 155.753744 \nL 288.705217 150.676478 \nL 293.086898 145.086208 \nL 297.35101 139.034704 \nL 301.412065 132.60057 \nL 305.17612 125.890894 \nL 308.543664 119.040561 \nL 311.413739 112.208781 \nL 313.68902 105.572357 \nL 315.281624 99.315959 \nL 316.119104 93.619994 \nL 316.150044 88.647603 \nL 315.348503 84.53224 \nL 313.716731 81.367907 \nL 311.285781 79.203233 \nL 308.113843 78.040394 \nL 304.282537 77.838676 \nL 299.891567 78.521899 \nL 295.052532 79.988182 \nL 289.88241 82.120633 \nL 284.497538 84.797318 \nL 279.008448 87.899628 \nL 273.515903 91.318412 \nL 268.108192 94.957784 \nL 262.859664 98.736944 \nL 257.830331 102.590281 \nL 253.066274 106.466408 \nL 248.60067 110.326442 \nL 244.455183 114.142032 \nL 240.641579 117.893337 \nL 237.163376 121.567136 \nL 234.017458 125.155195 \nL 231.195564 128.652918 \nL 228.685629 132.058233 \nL 226.472943 135.370769 \nL 224.541138 138.591223 \nL 222.873008 141.720891 \nL 221.451161 144.761376 \nL 220.258546 147.714329 \nL 219.27885 150.581352 \nL 218.4968 153.363838 \nL 217.898371 156.062969 \nL 217.470934 158.679643 \nL 217.203345 161.214432 \nL 217.085999 163.667583 \nL 217.110832 166.038964 \nL 217.271323 168.328049 \nL 217.562468 170.533857 \nL 217.980745 172.654917 \nL 218.524073 174.689189 \nL 219.191766 176.634001 \nL 219.984494 178.48593 \nL 220.90423 180.2407 \nL 221.954214 181.893067 \nL 223.138903 183.436638 \nL 224.463927 184.863696 \nL 225.936037 186.165003 \nL 227.563039 187.329549 \nL 229.353724 188.344305 \nL 231.317765 189.193912 \nL 233.465586 189.860374 \nL 235.808192 190.322715 \nL 238.356937 190.556647 \nL 241.123222 190.534225 \nL 244.1181 190.223578 \nL 247.351752 189.588705 \nL 250.832843 188.589422 \nL 254.567689 187.181538 \nL 258.559248 185.31738 \nL 262.805868 182.946762 \nL 267.299838 180.018588 \nL 272.025698 176.483242 \nL 276.958361 172.295915 \nL 282.061151 167.421025 \nL 287.28384 161.8377 \nL 292.560925 155.546255 \nL 297.810395 148.575231 \nL 302.93338 140.98836 \nL 307.815014 132.890374 \nL 312.326926 124.4304 \nL 316.331668 115.801372 \nL 319.689091 107.234301 \nL 322.264552 98.986625 \nL 323.938308 91.324956 \nL 324.615135 84.503966 \nL 324.232986 78.74405 \nL 322.769416 74.211496 \nL 320.244701 71.004464 \nL 316.721148 69.147184 \nL 312.298567 68.593276 \nL 307.106656 69.236701 \nL 301.295362 70.928169 \nL 295.024538 73.493493 \nL 288.454156 76.751121 \nL 281.735986 80.526522 \nL 275.007274 84.662414 \nL 268.386648 89.024615 \nL 261.972044 93.504206 \nL 255.840379 98.016899 \nL 250.04852 102.500478 \nL 244.635108 106.911444 \nL 239.622907 111.221294 \nL 235.021356 115.413047 \nL 230.829069 119.478156 \nL 227.036225 123.41398 \nL 223.626683 127.221796 \nL 220.579812 130.905296 \nL 217.872046 134.469507 \nL 215.478141 137.920058 \nL 213.372187 141.262671 \nL 211.528392 144.502881 \nL 209.92167 147.645875 \nL 208.528064 150.696396 \nL 207.325042 153.658745 \nL 206.29168 156.536786 \nL 204.658802 162.053536 \nL 203.496398 167.2706 \nL 202.697907 172.207849 \nL 202.180575 176.882223 \nL 201.882129 181.308581 \nL 201.750028 187.511888 \nL 201.916462 193.226812 \nL 202.339398 198.48802 \nL 203.018452 203.324709 \nL 203.629396 206.324753 \nL 204.387964 209.150762 \nL 205.320217 211.804749 \nL 206.460237 214.285368 \nL 207.851373 216.586502 \nL 209.547905 218.695185 \nL 210.531156 219.670701 \nL 211.617149 220.5885 \nL 212.816747 221.443401 \nL 214.141959 222.228904 \nL 215.606036 222.936907 \nL 217.223562 223.557369 \nL 219.010542 224.077899 \nL 220.98448 224.483268 \nL 223.16443 224.754828 \nL 225.571022 224.869822 \nL 228.22643 224.800586 \nL 231.154272 224.513642 \nL 234.3794 223.968665 \nL 237.927553 223.117379 \nL 241.824804 221.902405 \nL 246.096736 220.256156 \nL 250.767291 218.099933 \nL 255.857164 215.343437 \nL 261.381639 211.885012 \nL 267.347777 207.613119 \nL 273.750847 202.409606 \nL 280.569943 196.155502 \nL 287.76283 188.740166 \nL 295.260274 180.074459 \nL 302.960209 170.108261 \nL 310.722574 158.851904 \nL 318.365922 146.399672 \nL 325.667251 132.951873 \nL 332.36678 118.829876 \nL 338.178963 104.477438 \nL 342.810467 90.441809 \nL 345.984428 77.331339 \nL 347.468331 65.751923 \nL 347.101295 56.232441 \nL 344.815569 49.154538 \nL 340.647593 44.704118 \nL 334.735867 42.856339 \nL 327.30603 43.396587 \nL 318.646296 45.969695 \nL 309.078229 50.142885 \nL 298.928063 55.467142 \nL 288.50271 61.525886 \nL 278.072647 67.965782 \nL 267.862147 74.509999 \nL 248.751104 87.176893 \nL 232.023075 98.654238 \nL 217.947376 108.734421 \nL 211.879949 113.27845 \nL 206.415798 117.524053 \nL 201.511004 121.498091 \nL 197.116828 125.226454 \nL 193.182245 128.732685 \nL 186.487147 135.157604 \nL 181.03133 140.898748 \nL 174.405874 148.38992 \nL 170.596654 152.683172 \nL 166.990485 156.413519 \nL 165.200846 158.059055 \nL 163.391303 159.550666 \nL 161.54276 160.88091 \nL 159.637977 162.040877 \nL 157.661476 163.020171 \nL 155.599479 163.806886 \nL 153.43989 164.387609 \nL 151.172335 164.747421 \nL 148.788268 164.87001 \nL 146.281138 164.737777 \nL 143.646621 164.332071 \nL 140.882933 163.633557 \nL 137.991199 162.622688 \nL 134.975908 161.280406 \nL 131.845403 159.589014 \nL 128.612431 157.533317 \nL 125.294694 155.101972 \nL 121.915362 152.289113 \nL 118.503553 149.096123 \nL 115.094616 145.533572 \nL 111.730243 141.623123 \nL 108.458277 137.399241 \nL 105.332125 132.910521 \nL 102.409734 128.220292 \nL 99.752053 123.406329 \nL 97.421017 118.55937 \nL 95.477066 113.78035 \nL 93.976294 109.176338 \nL 92.967497 104.855423 \nL 92.489244 100.920906 \nL 92.567321 97.465357 \nL 93.212813 94.565204 \nL 94.420937 92.276443 \nL 96.170958 90.632061 \nL 98.427007 89.641272 \nL 101.1399 89.290742 \nL 104.24966 89.547406 \nL 107.68855 90.362461 \nL 111.384293 91.675983 \nL 115.263262 93.421653 \nL 119.25336 95.530999 \nL 123.286445 97.936998 \nL 127.300177 100.576767 \nL 131.239314 103.393393 \nL 135.056453 106.336883 \nL 138.712259 109.364472 \nL 142.175316 112.440405 \nL 145.421663 115.535398 \nL 148.434109 118.625888 \nL 151.201451 121.693179 \nL 153.71759 124.722598 \nL 155.980674 127.702738 \nL 157.992252 130.624717 \nL 159.7565 133.48159 \nL 161.279514 136.267844 \nL 162.568706 138.978966 \nL 163.632254 141.611113 \nL 164.478671 144.160811 \nL 165.116423 146.62478 \nL 165.553643 148.9997 \nL 165.797893 151.282079 \nL 165.85599 153.468131 \nL 165.733876 155.553638 \nL 165.43654 157.533851 \nL 164.967968 159.40336 \nL 164.331125 161.155985 \nL 163.527978 162.784684 \nL 162.559531 164.281398 \nL 161.425887 165.63694 \nL 160.126351 166.840884 \nL 158.659549 167.88142 \nL 157.023566 168.745221 \nL 155.216145 169.41735 \nL 153.234903 169.881188 \nL 151.077615 170.118354 \nL 148.74253 170.108738 \nL 146.22875 169.830601 \nL 143.53669 169.260763 \nL 140.668609 168.374964 \nL 137.629212 167.148393 \nL 134.426322 165.556496 \nL 131.071626 163.576016 \nL 127.581481 161.186358 \nL 123.977723 158.371324 \nL 120.288445 155.121165 \nL 116.548711 151.434937 \nL 112.801065 147.323066 \nL 109.095775 142.809924 \nL 105.490674 137.936179 \nL 102.050514 132.760611 \nL 98.845678 127.361003 \nL 95.950206 121.833664 \nL 93.439148 116.291348 \nL 91.38529 110.859316 \nL 89.855439 105.669639 \nL 88.906507 100.853997 \nL 88.581795 96.535772 \nL 88.907817 92.822052 \nL 89.892067 89.796858 \nL 91.521945 87.516072 \nL 93.76513 86.005049 \nL 96.571206 85.258886 \nL 99.8745 85.245321 \nL 103.597785 85.909561 \nL 107.656388 87.180365 \nL 111.962444 88.976479 \nL 116.428796 91.212736 \nL 120.972352 93.80519 \nL 125.516725 96.675027 \nL 129.994113 99.751256 \nL 134.346343 102.972053 \nL 138.525323 106.285295 \nL 142.492884 109.648189 \nL 146.22021 113.026508 \nL 149.686993 116.393495 \nL 152.880408 119.728687 \nL 155.793997 123.016764 \nL 158.426555 126.246471 \nL 160.781083 129.40965 \nL 162.863789 132.500503 \nL 164.683213 135.514898 \nL 166.249468 138.449879 \nL 167.573582 141.303242 \nL 168.666951 144.073241 \nL 169.540899 146.75833 \nL 170.206323 149.356994 \nL 170.673408 151.867582 \nL 170.951428 154.288214 \nL 171.048585 156.616649 \nL 170.971916 158.850215 \nL 170.727217 160.985699 \nL 170.319021 163.019274 \nL 169.750583 164.946372 \nL 169.023903 166.761594 \nL 168.139763 168.458594 \nL 167.097773 170.029925 \nL 165.896457 171.466904 \nL 164.533329 172.759458 \nL 163.005011 173.895949 \nL 161.307367 174.863004 \nL 159.43568 175.645331 \nL 157.384836 176.225558 \nL 155.149593 176.584063 \nL 152.724881 176.698878 \nL 150.106174 176.545648 \nL 147.289952 176.097655 \nL 144.274232 175.326032 \nL 141.059238 174.200119 \nL 137.648133 172.688085 \nL 134.047915 170.757887 \nL 130.270377 168.378598 \nL 126.333185 165.522202 \nL 122.260981 162.165918 \nL 118.086491 158.294991 \nL 113.851498 153.906032 \nL 109.607645 149.010604 \nL 105.416772 143.638965 \nL 101.350773 137.843438 \nL 97.490672 131.700996 \nL 93.924812 125.314368 \nL 90.746053 118.811122 \nL 88.047941 112.340147 \nL 85.920044 106.065376 \nL 84.442687 100.156885 \nL 83.681568 94.780067 \nL 83.682846 90.084048 \nL 84.469209 86.190836 \nL 86.037507 83.186667 \nL 88.3583 81.116966 \nL 91.377377 79.985263 \nL 95.019089 79.756301 \nL 99.191103 80.362466 \nL 103.789992 81.712351 \nL 108.707048 83.700128 \nL 113.833779 86.214474 \nL 119.066614 89.146145 \nL 124.310599 92.393604 \nL 129.481951 95.866744 \nL 134.509516 99.488697 \nL 139.335278 103.196235 \nL 143.914082 106.939051 \nL 148.212795 110.678375 \nL 152.209087 114.385294 \nL 155.890015 118.038993 \nL 159.25052 121.62502 \nL 162.291944 125.133837 \nL 165.020652 128.559509 \nL 167.446775 131.898708 \nL 169.58311 135.149887 \nL 171.444173 138.312657 \nL 173.045416 141.38734 \nL 174.402581 144.374635 \nL 175.531184 147.275379 \nL 176.446115 150.090384 \nL 177.161334 152.820318 \nL 177.689651 155.465619 \nL 178.04257 158.02646 \nL 178.230181 160.502658 \nL 178.261111 162.893661 \nL 178.14249 165.198477 \nL 177.879955 167.415645 \nL 177.477659 169.543145 \nL 176.938308 171.578342 \nL 176.263187 173.517908 \nL 175.452217 175.357692 \nL 174.50399 177.092612 \nL 173.415829 178.716523 \nL 172.183847 180.222051 \nL 170.803 181.600392 \nL 169.267174 182.841129 \nL 167.569269 183.93198 \nL 165.701308 184.85855 \nL 163.654577 185.604059 \nL 161.419803 186.149062 \nL 158.987388 186.471152 \nL 156.347697 186.5447 \nL 153.491437 186.34063 \nL 150.410137 185.826291 \nL 147.096749 184.965447 \nL 143.546399 183.718476 \nL 139.757295 182.042881 \nL 135.731824 179.894176 \nL 131.477829 177.227307 \nL 127.010077 173.998764 \nL 122.351874 170.169427 \nL 117.536747 165.708332 \nL 112.610136 160.597326 \nL 107.630821 154.836484 \nL 102.672016 148.450027 \nL 97.821662 141.492167 \nL 93.181792 134.052116 \nL 88.866497 126.257145 \nL 84.998345 118.272591 \nL 81.703142 110.297729 \nL 79.103125 102.556865 \nL 77.309106 95.285782 \nL 76.412182 88.71455 \nL 76.476075 83.048862 \nL 77.531039 78.452491 \nL 79.570325 75.033897 \nL 82.549781 72.838907 \nL 86.390651 71.850847 \nL 90.985252 71.997428 \nL 96.204729 73.162938 \nL 101.907759 75.203105 \nL 107.949279 77.960321 \nL 114.188273 81.277054 \nL 120.494059 85.006209 \nL 126.750732 89.017861 \nL 132.859864 93.202784 \nL 138.741532 97.473179 \nL 144.334093 101.761422 \nL 149.592997 106.017708 \nL 154.489008 110.207124 \nL 159.006078 114.306604 \nL 163.139138 118.302163 \nL 166.891938 122.186465 \nL 170.275059 125.956868 \nL 173.304129 129.613848 \nL 175.998288 133.159849 \nL 178.37891 136.598428 \nL 180.468548 139.933696 \nL 182.290095 143.169899 \nL 183.866131 146.311195 \nL 185.218439 149.361506 \nL 186.367645 152.324456 \nL 187.332973 155.203327 \nL 188.132092 158.001095 \nL 188.781036 160.720411 \nL 189.684183 165.932935 \nL 190.137652 170.856962 \nL 190.211793 175.505074 \nL 189.954337 179.886669 \nL 189.392792 184.007917 \nL 188.536546 187.871247 \nL 187.378444 191.474402 \nL 185.895744 194.808889 \nL 185.021396 196.370474 \nL 184.050448 197.857673 \nL 182.975725 199.266473 \nL 181.789041 200.591823 \nL 180.481166 201.827466 \nL 179.041801 202.965679 \nL 177.459552 203.997029 \nL 175.721901 204.910043 \nL 173.815204 205.690853 \nL 171.724711 206.32275 \nL 169.434607 206.78572 \nL 166.928106 207.055892 \nL 164.187613 207.104933 \nL 161.194973 206.899419 \nL 157.93183 206.40018 \nL 154.380153 205.561686 \nL 150.522936 204.331538 \nL 146.345166 202.650177 \nL 141.835078 200.450952 \nL 136.985771 197.660782 \nL 131.79723 194.20167 \nL 126.278782 189.993395 \nL 120.452018 184.957787 \nL 114.354056 179.024918 \nL 108.041038 172.141532 \nL 101.591574 164.281723 \nL 95.109659 155.459466 \nL 88.726419 145.742063 \nL 82.600001 135.262518 \nL 76.912652 124.228311 \nL 71.864338 112.923188 \nL 67.662485 101.698854 \nL 64.50812 90.954565 \nL 62.579453 81.104985 \nL 62.014886 72.539679 \nL 62.897975 65.581037 \nL 65.247037 60.448652 \nL 69.011431 57.237672 \nL 74.075288 55.915546 \nL 80.268173 56.336953 \nL 87.380645 58.272303 \nL 95.182177 61.442875 \nL 103.438637 65.5553 \nL 111.927321 70.329884 \nL 120.44811 75.520076 \nL 128.830545 80.922765 \nL 136.936999 86.380782 \nL 144.662741 91.780037 \nL 151.933782 97.043491 \nL 158.703369 102.123829 \nL 164.947805 106.996201 \nL 170.66214 111.651782 \nL 175.85609 116.092444 \nL 180.550373 120.326638 \nL 184.773553 124.366392 \nL 188.559423 128.225186 \nL 191.944892 131.916613 \nL 194.968329 135.453494 \nL 197.668303 138.847439 \nL 200.082657 142.108634 \nL 204.198541 148.266253 \nL 207.584541 153.979809 \nL 211.79843 161.788516 \nL 215.542422 168.724588 \nL 218.037329 172.85962 \nL 220.685044 176.581039 \nL 222.103394 178.275798 \nL 223.603598 179.851803 \nL 225.199428 181.30125 \nL 226.904497 182.614724 \nL 228.732331 183.780987 \nL 230.696415 184.786738 \nL 232.810191 185.616351 \nL 235.087018 186.251581 \nL 237.540052 186.671291 \nL 240.182089 186.851163 \nL 243.025279 186.763455 \nL 246.080761 186.376818 \nL 249.358168 185.656234 \nL 252.864997 184.563118 \nL 256.605774 183.055687 \nL 260.58109 181.089697 \nL 264.786385 178.619632 \nL 269.210584 175.600563 \nL 273.834531 171.990696 \nL 278.629309 167.754834 \nL 283.554544 162.868725 \nL 288.556813 157.324292 \nL 293.568395 151.135499 \nL 298.5066 144.344424 \nL 303.274031 137.026789 \nL 307.76002 129.296028 \nL 311.843657 121.304634 \nL 315.39844 113.241714 \nL 318.298597 105.3259 \nL 320.426754 97.793241 \nL 321.682267 90.881017 \nL 321.989373 84.808956 \nL 321.304122 79.760632 \nL 319.619048 75.867917 \nL 316.964789 73.201037 \nL 313.408476 71.765833 \nL 309.04894 71.508425 \nL 304.009542 72.325827 \nL 298.429534 74.080483 \nL 292.455104 76.615873 \nL 286.231013 79.770992 \nL 279.893657 83.392124 \nL 273.565832 87.341045 \nL 267.353432 91.499678 \nL 261.343786 95.771714 \nL 255.605509 100.081945 \nL 250.189411 104.374242 \nL 245.130121 108.608588 \nL 240.448154 112.758063 \nL 236.152144 116.805859 \nL 232.241068 120.742694 \nL 228.706329 124.564656 \nL 225.533638 128.271461 \nL 222.704651 131.865158 \nL 220.198354 135.349182 \nL 217.99221 138.727654 \nL 216.063067 142.004952 \nL 214.387887 145.185417 \nL 212.944283 148.273169 \nL 211.710927 151.272044 \nL 210.667826 154.185542 \nL 209.79651 157.016822 \nL 209.080131 159.768724 \nL 208.053153 165.044312 \nL 207.485338 170.029639 \nL 207.300345 174.738545 \nL 207.444792 179.181782 \nL 207.885754 183.367178 \nL 208.608494 187.299271 \nL 209.614701 190.978641 \nL 210.921332 194.400679 \nL 212.560111 197.553747 \nL 213.518021 199.023212 \nL 214.577631 200.416453 \nL 215.747195 201.72863 \nL 217.035993 202.953703 \nL 218.454376 204.084227 \nL 220.013793 205.111074 \nL 221.726819 206.023121 \nL 223.607174 206.806888 \nL 225.669711 207.446115 \nL 227.93039 207.921272 \nL 230.406192 208.20901 \nL 233.114975 208.281561 \nL 236.07526 208.106076 \nL 239.305878 207.64395 \nL 242.82549 206.850158 \nL 246.651905 205.672695 \nL 250.801171 204.052195 \nL 255.286343 201.921881 \nL 260.11592 199.208083 \nL 265.291852 195.831552 \nL 270.807096 191.709946 \nL 276.642719 186.761847 \nL 282.764566 180.912724 \nL 289.119673 174.103171 \nL 295.632649 166.299539 \nL 302.202497 157.506635 \nL 308.700465 147.781657 \nL 314.96972 137.247509 \nL 320.82773 126.102895 \nL 326.072168 114.625808 \nL 330.490776 103.167007 \nL 333.875165 92.130988 \nL 336.037465 81.944423 \nL 336.828059 73.014983 \nL 336.151644 65.687209 \nL 333.978923 60.203817 \nL 330.351613 56.680692 \nL 325.379636 55.1007 \nL 319.230992 55.326933 \nL 312.116134 57.131041 \nL 304.269559 60.229421 \nL 295.931495 64.319619 \nL 287.331981 69.110782 \nL 278.678809 74.34495 \nL 270.149783 79.808615 \nL 261.889088 85.336078 \nL 254.006938 90.806744 \nL 246.581652 96.139014 \nL 239.663212 101.282702 \nL 233.277554 106.211394 \nL 227.431016 110.915655 \nL 222.114588 115.397364 \nL 217.307724 119.665393 \nL 212.981631 123.732392 \nL 209.102005 127.612544 \nL 205.631228 131.32014 \nL 202.530101 134.86864 \nL 199.759155 138.270207 \nL 197.279622 141.535485 \nL 193.047084 147.692017 \nL 189.556877 153.393476 \nL 185.196288 161.164141 \nL 181.301224 168.035165 \nL 178.695875 172.107953 \nL 177.339206 173.98414 \nL 175.925809 175.747687 \nL 174.44092 177.392756 \nL 172.870222 178.912164 \nL 171.199725 180.297211 \nL 169.415674 181.53749 \nL 167.504484 182.620671 \nL 165.452719 183.532241 \nL 163.247119 184.255266 \nL 160.874678 184.770116 \nL 158.322786 185.05421 \nL 155.579462 185.081779 \nL 152.633677 184.823698 \nL 149.475788 184.247396 \nL 146.098106 183.316949 \nL 142.495627 181.993358 \nL 138.666906 180.235158 \nL 134.615143 177.999464 \nL 130.349425 175.243517 \nL 125.886163 171.926936 \nL 121.250598 168.014703 \nL 116.478426 163.481014 \nL 111.617294 158.313907 \nL 106.728063 152.520594 \nL 101.885614 146.133059 \nL 97.178857 139.213413 \nL 92.709721 131.858118 \nL 88.5908 124.200141 \nL 84.94149 116.407889 \nL 81.882549 108.680085 \nL 79.529353 101.236132 \nL 77.98421 94.30232 \nL 77.328629 88.095088 \nL 77.616309 82.803512 \nL 78.86793 78.573449 \nL 81.06846 75.49619 \nL 84.167475 73.60308 \nL 88.082481 72.867048 \nL 92.704778 73.210271 \nL 97.907045 74.516238 \nL 103.551707 76.644033 \nL 109.499074 79.442344 \nL 115.614496 82.761673 \nL 121.774046 86.463507 \nL 127.868457 90.426222 \nL 133.80541 94.547919 \nL 139.510349 98.746845 \nL 144.926079 102.9601 \nL 150.011583 107.141322 \nL 154.740254 111.257934 \nL 159.097865 115.288311 \nL 163.080467 119.219231 \nL 166.692344 123.043608 \nL 169.944133 126.758711 \nL 172.851152 130.364724 \nL 175.431951 133.863667 \nL 177.707117 137.258642 \nL 179.698272 140.553244 \nL 181.427289 143.751261 \nL 182.915682 146.856385 \nL 184.18414 149.872125 \nL 185.252195 152.801716 \nL 186.13799 155.648077 \nL 186.858131 158.413841 \nL 187.427608 161.101334 \nL 187.859761 163.712618 \nL 188.357293 168.713494 \nL 188.425375 173.427923 \nL 188.114826 177.863587 \nL 187.454755 182.024113 \nL 186.45454 185.908386 \nL 185.105389 189.509204 \nL 184.292502 191.198908 \nL 183.381329 192.811205 \nL 182.366009 194.342403 \nL 181.239634 195.787853 \nL 179.994233 197.141783 \nL 178.620769 198.397077 \nL 177.109121 199.545054 \nL 175.448076 200.575172 \nL 173.625341 201.474708 \nL 171.627559 202.228374 \nL 169.440366 202.817906 \nL 167.048477 203.221571 \nL 164.435838 203.413644 \nL 161.585848 203.363863 \nL 158.481679 203.036842 \nL 155.10674 202.391543 \nL 151.445294 201.380808 \nL 147.483288 199.951088 \nL 143.209454 198.042468 \nL 138.61669 195.589159 \nL 133.703817 192.5207 \nL 128.477693 188.764124 \nL 122.955738 184.24742 \nL 117.168781 178.90459 \nL 111.164139 172.682581 \nL 105.008732 165.55019 \nL 98.791809 157.508677 \nL 92.626886 148.603448 \nL 86.652205 138.935448 \nL 81.028968 128.670136 \nL 75.936793 118.04154 \nL 71.565776 107.348429 \nL 68.105324 96.94062 \nL 65.730234 87.194712 \nL 64.585558 78.481128 \nL 64.772199 71.127063 \nL 66.33553 65.381742 \nL 69.259167 61.390981 \nL 73.465049 59.186052 \nL 78.820008 58.688826 \nL 85.147614 59.730917 \nL 92.243313 62.082026 \nL 99.890504 65.481027 \nL 107.875385 69.664347 \nL 115.999073 74.387839 \nL 124.086133 79.440742 \nL 131.989554 84.652111 \nL 139.592537 89.89124 \nL 146.807783 95.064185 \nL 153.575121 100.108025 \nL 159.85811 104.984461 \nL 165.640228 109.673668 \nL 170.921036 114.168904 \nL 175.712582 118.472143 \nL 180.036207 122.59073 \nL 183.919816 126.534901 \nL 187.39561 130.316083 \nL 190.498261 133.9458 \nL 193.263483 137.434956 \nL 195.726954 140.793482 \nL 197.923515 144.030161 \nL 199.886616 147.152608 \nL 203.237239 153.079672 \nL 206.008289 158.614623 \nL 210.570018 168.602638 \nL 212.670398 173.076735 \nL 214.821491 177.202314 \nL 217.133932 180.964942 \nL 218.383087 182.70218 \nL 219.711021 184.337194 \nL 221.130302 185.863909 \nL 222.653597 187.27487 \nL 224.293767 188.561042 \nL 226.063944 189.711557 \nL 227.977566 190.713444 \nL 230.048394 191.551318 \nL 232.290475 192.207034 \nL 234.718053 192.659334 \nL 237.345409 192.883465 \nL 240.186628 192.850802 \nL 243.25525 192.528532 \nL 246.563803 191.879383 \nL 250.123162 190.861522 \nL 253.941745 189.428669 \nL 258.024492 187.530566 \nL 262.371585 185.113893 \nL 266.976939 182.123889 \nL 271.826419 178.506773 \nL 276.895867 174.213188 \nL 282.148937 169.202869 \nL 287.534982 163.450479 \nL 292.987088 156.952622 \nL 298.420667 149.73557 \nL 303.732882 141.862998 \nL 308.803438 133.442622 \nL 313.49712 124.630258 \nL 317.668406 115.629598 \nL 321.168301 106.686269 \nL 323.853199 98.075318 \nL 325.595113 90.08235 \nL 326.292184 82.980256 \nL 325.878189 77.004523 \nL 324.329575 72.331322 \nL 321.668803 69.062227 \nL 317.963505 67.218188 \nL 313.32137 66.743666 \nL 307.881707 67.519305 \nL 301.804797 69.380439 \nL 295.26063 72.137426 \nL 288.418354 75.594883 \nL 281.437392 79.566985 \nL 274.460871 83.888186 \nL 267.611475 88.418984 \nL 260.989514 93.047694 \nL 254.672798 97.689206 \nL 248.717915 102.281933 \nL 243.162346 106.783875 \nL 238.027071 111.168541 \nL 233.319351 115.421107 \nL 229.035424 119.535173 \nL 225.163025 123.51006 \nL 221.683594 127.348802 \nL 218.57419 131.056599 \nL 215.80907 134.639726 \nL 213.360977 138.104853 \nL 211.202154 141.458561 \nL 209.305119 144.70705 \nL 207.643242 147.856045 \nL 206.191154 150.910734 \nL 204.925018 153.875745 \nL 202.863815 159.55285 \nL 201.303779 164.915484 \nL 200.116657 169.986397 \nL 199.19917 174.784515 \nL 198.153893 181.505247 \nL 195.468285 200.291402 \nL 194.450303 204.97016 \nL 193.623862 207.86489 \nL 192.639675 210.582861 \nL 191.457808 213.122668 \nL 190.030789 215.478027 \nL 188.301421 217.635642 \nL 187.302224 218.63348 \nL 186.200328 219.57206 \nL 184.984707 220.446092 \nL 183.643217 221.248947 \nL 182.162503 221.972371 \nL 180.527903 222.606142 \nL 178.723358 223.137664 \nL 176.731343 223.551471 \nL 174.532816 223.828644 \nL 172.1072 223.946128 \nL 169.432415 223.875933 \nL 166.484998 223.584229 \nL 163.240323 223.030337 \nL 159.672966 222.165632 \nL 155.757276 220.932429 \nL 151.468224 219.262925 \nL 146.782572 217.078362 \nL 141.68053 214.288621 \nL 136.147919 210.792597 \nL 130.17903 206.479819 \nL 123.780208 201.233898 \nL 116.974195 194.938518 \nL 109.805257 187.486766 \nL 102.344772 178.79443 \nL 94.696877 168.817491 \nL 87.003382 157.573315 \nL 79.44685 145.163572 \nL 72.250322 131.79533 \nL 65.672181 117.794749 \nL 59.994768 103.606854 \nL 55.506214 89.775299 \nL 52.476432 76.899247 \nL 51.129735 65.570333 \nL 51.618393 56.29975 \nL 54.002311 49.450962 \nL 58.238962 45.194265 \nL 64.186353 43.494384 \nL 71.618229 44.132695 \nL 80.24848 46.756247 \nL 89.759748 50.939129 \nL 99.831319 56.241846 \nL 110.162301 62.258026 \nL 120.488039 68.643624 \nL 130.589417 75.129442 \nL 149.48381 87.687588 \nL 166.014452 99.083792 \nL 179.921658 109.114847 \nL 185.916295 113.645131 \nL 191.314966 117.883121 \nL 196.16111 121.854869 \nL 200.502893 125.585503 \nL 204.390715 129.097887 \nL 207.875366 132.411988 \nL 213.832616 138.509633 \nL 218.747333 143.977419 \nL 228.511753 155.182713 \nL 232.056965 158.685119 \nL 233.850191 160.211643 \nL 235.683309 161.579062 \nL 237.573645 162.778541 \nL 239.536836 163.79975 \nL 241.586895 164.630803 \nL 243.736226 165.25825 \nL 245.995588 165.667065 \nL 248.374008 165.840738 \nL 250.878605 165.761323 \nL 253.514368 165.409696 \nL 256.283841 164.765822 \nL 259.186749 163.809261 \nL 262.219537 162.519759 \nL 265.374856 160.878153 \nL 268.641001 158.867443 \nL 272.00132 156.47416 \nL 275.43364 153.689976 \nL 278.909731 150.513556 \nL 282.394949 146.952569 \nL 285.848006 143.025741 \nL 289.2211 138.764752 \nL 292.460363 134.2158 \nL 295.506828 129.440491 \nL 298.297863 124.515834 \nL 300.769163 119.533045 \nL 302.857261 114.594938 \nL 304.502439 109.811988 \nL 305.65184 105.29712 \nL 306.262606 101.159674 \nL 306.304662 97.49903 \nL 305.762968 94.398724 \nL 304.638884 91.921562 \nL 302.950565 90.106484 \nL 300.732244 88.96736 \nL 298.032514 88.493944 \nL 294.911807 88.654624 \nL 291.439235 89.400482 \nL 287.689227 90.670161 \nL 283.738111 92.394902 \nL 279.66106 94.503198 \nL 275.52942 96.92467 \nL 271.408686 99.593094 \nL 267.357057 102.448432 \nL 263.424599 105.43793 \nL 259.652939 108.516486 \nL 256.075387 111.646488 \nL 252.717403 114.797219 \nL 249.597278 117.944058 \nL 246.726989 121.067602 \nL 244.113087 124.15274 \nL 241.757625 127.187836 \nL 239.659029 130.16396 \nL 237.812938 133.074224 \nL 236.212927 135.913278 \nL 234.851168 138.676828 \nL 233.719001 141.361288 \nL 232.80739 143.96351 \nL 232.107321 146.480527 \nL 231.610117 148.909382 \nL 231.307682 151.246965 \nL 231.192688 153.48988 \nL 231.258714 155.634341 \nL 231.500332 157.676034 \nL 231.91317 159.610038 \nL 232.493924 161.430688 \nL 233.24036 163.131466 \nL 234.151265 164.704895 \nL 235.226412 166.142408 \nL 236.466463 167.43419 \nL 237.872863 168.569078 \nL 239.447707 169.534416 \nL 241.193569 170.315903 \nL 243.113308 170.897513 \nL 245.209808 171.261399 \nL 247.485688 171.387842 \nL 249.942942 171.255294 \nL 252.582511 170.840497 \nL 255.40379 170.118736 \nL 258.404048 169.064282 \nL 261.577763 167.651018 \nL 264.915884 165.853349 \nL 268.405022 163.647436 \nL 272.026588 161.0128 \nL 275.755924 157.934243 \nL 279.561509 154.404202 \nL 283.404248 150.425327 \nL 287.236994 146.013293 \nL 291.004439 141.199512 \nL 294.643457 136.033492 \nL 298.084029 130.584471 \nL 301.250878 124.941868 \nL 304.065838 119.214118 \nL 306.450978 113.52567 \nL 308.332305 108.011934 \nL 309.643864 102.812432 \nL 310.331857 98.062611 \nL 310.358411 93.885186 \nL 309.704578 90.382036 \nL 308.372161 87.627624 \nL 306.384179 85.664916 \nL 303.78379 84.504176 \nL 300.631917 84.124741 \nL 297.003708 84.479259 \nL 292.984321 85.499734 \nL 288.66443 87.104414 \nL 284.135835 89.204583 \nL 279.487583 91.710591 \nL 274.802801 94.5367 \nL 270.156353 97.604573 \nL 265.613315 100.845221 \nL 261.228268 104.19994 \nL 257.045199 107.62027 \nL 253.097942 111.067253 \nL 249.410977 114.510373 \nL 246.000471 117.926315 \nL 242.875411 121.29767 \nL 240.038804 124.611733 \nL 237.488829 127.85944 \nL 235.219907 131.034458 \nL 233.223672 134.132456 \nL 231.489826 137.150476 \nL 230.00686 140.086506 \nL 228.76268 142.939096 \nL 227.745109 145.707101 \nL 226.942281 148.389463 \nL 226.342973 150.985064 \nL 225.936836 153.49259 \nL 225.714581 155.910427 \nL 225.668097 158.236601 \nL 225.790538 160.468651 \nL 226.07637 162.603571 \nL 226.521379 164.637719 \nL 227.12268 166.566706 \nL 227.878679 168.385295 \nL 228.789043 170.087285 \nL 229.854628 171.66535 \nL 231.077425 173.110923 \nL 232.460458 174.414009 \nL 234.007684 175.563007 \nL 235.723852 176.544523 \nL 237.614359 177.343171 \nL 239.685033 177.941399 \nL 241.941904 178.319297 \nL 244.390892 178.45445 \nL 247.037444 178.321863 \nL 249.886079 177.893988 \nL 252.939846 177.140814 \nL 256.19966 176.03025 \nL 259.663522 174.528681 \nL 263.325635 172.601869 \nL 267.175368 170.216294 \nL 271.19613 167.340934 \nL 275.364188 163.949651 \nL 279.647443 160.024101 \nL 284.004333 155.557235 \nL 288.382932 150.557189 \nL 292.720388 145.051351 \nL 296.942986 139.090204 \nL 300.966944 132.750356 \nL 304.700165 126.136149 \nL 308.045078 119.379062 \nL 310.902588 112.634405 \nL 313.177012 106.074868 \nL 314.781736 99.881181 \nL 315.645018 94.230432 \nL 315.715466 89.283435 \nL 314.966427 85.172651 \nL 313.398735 81.992539 \nL 311.04138 79.793562 \nL 307.950035 78.580909 \nL 304.203529 78.317605 \nL 299.898768 78.931516 \nL 295.144696 80.324767 \nL 290.056 82.383936 \nL 284.747151 84.989935 \nL 279.327335 88.026233 \nL 273.896459 91.384977 \nL 268.54243 94.970948 \nL 263.339604 98.703461 \nL 258.348318 102.516638 \nL 253.615217 106.358576 \nL 249.174189 110.189715 \nL 245.047715 113.981 \nL 241.248409 117.711862 \nL 237.780631 121.368423 \nL 234.642079 124.941859 \nL 231.82525 128.427028 \nL 229.318772 131.821411 \nL 227.108559 135.124246 \nL 225.178802 138.335904 \nL 223.512775 141.457406 \nL 222.093513 144.490108 \nL 220.904327 147.435458 \nL 219.929225 150.294859 \nL 219.153205 153.069551 \nL 218.56248 155.760536 \nL 218.144632 158.368548 \nL 217.888703 160.893988 \nL 217.785253 163.336933 \nL 217.826377 165.697057 \nL 218.005699 167.973627 \nL 218.31836 170.16543 \nL 218.760972 172.270741 \nL 219.331593 174.287232 \nL 220.029671 176.211897 \nL 220.85601 178.040951 \nL 221.812718 179.769698 \nL 222.903161 181.392412 \nL 224.131915 182.902161 \nL 225.504715 184.290619 \nL 227.028393 185.547854 \nL 228.710806 186.662085 \nL 230.560746 187.619415 \nL 232.587829 188.40353 \nL 234.802336 188.995395 \nL 237.215016 189.372917 \nL 239.836827 189.510631 \nL 242.678584 189.379399 \nL 245.750535 188.946182 \nL 249.06177 188.173919 \nL 252.619515 187.021583 \nL 256.428239 185.444524 \nL 260.48857 183.395161 \nL 264.795989 180.824228 \nL 269.339302 177.682655 \nL 274.098941 173.92431 \nL 279.045092 169.509671 \nL 284.135802 164.410598 \nL 289.315165 158.616016 \nL 294.511874 152.138459 \nL 299.638387 145.020854 \nL 304.591107 137.342807 \nL 309.2519 129.225237 \nL 313.491295 120.832077 \nL 317.173607 112.367601 \nL 320.163897 104.068498 \nL 322.336415 96.190317 \nL 323.58387 88.989109 \nL 323.826394 82.700411 \nL 323.019117 77.51848 \nL 321.157111 73.579251 \nL 318.276906 70.949976 \nL 314.45433 69.627106 \nL 309.798885 69.542473 \nL 304.445512 70.576131 \nL 298.544951 72.573009 \nL 292.253859 75.360465 \nL 285.72585 78.764082 \nL 279.104147 82.620033 \nL 272.516289 86.783378 \nL 266.07088 91.132377 \nL 259.856239 95.569519 \nL 253.940536 100.020226 \nL 248.373045 104.430123 \nL 243.186113 108.761684 \nL 238.397501 112.990707 \nL 234.012842 117.103113 \nL 230.028044 121.092175 \nL 226.431505 124.956244 \nL 223.206082 128.697008 \nL 220.330772 132.318188 \nL 217.782128 135.824601 \nL 215.535404 139.221512 \nL 213.56547 142.514226 \nL 211.847508 145.707845 \nL 210.357537 148.80714 \nL 209.072788 151.816461 \nL 207.97196 154.739756 \nL 207.03537 157.580584 \nL 205.584697 163.027364 \nL 204.59736 168.178922 \nL 203.97599 173.053659 \nL 203.646675 177.667192 \nL 203.555859 182.033051 \nL 203.667304 186.163047 \nL 203.959441 190.067424 \nL 204.423264 193.754774 \nL 205.06083 197.231805 \nL 205.884369 200.50286 \nL 206.915974 203.569182 \nL 208.187864 206.427792 \nL 209.743159 209.069797 \nL 211.637178 211.477914 \nL 212.732251 212.585692 \nL 213.939176 213.622784 \nL 215.269136 214.582756 \nL 216.734464 215.457627 \nL 218.348709 216.237545 \nL 220.126705 216.910423 \nL 222.084625 217.461483 \nL 224.240007 217.872746 \nL 226.611752 218.122413 \nL 229.220071 218.184165 \nL 232.086356 218.026376 \nL 235.232961 217.611241 \nL 238.682842 216.893839 \nL 242.459013 215.821213 \nL 246.58376 214.331505 \nL 251.077564 212.353296 \nL 255.957624 209.805376 \nL 261.235898 206.597176 \nL 266.916605 202.630283 \nL 272.993086 197.80151 \nL 279.444013 192.008125 \nL 286.229006 185.155808 \nL 293.283838 177.169899 \nL 300.515586 168.010067 \nL 307.798419 157.688063 \nL 314.970869 146.286937 \nL 321.835807 133.979073 \nL 328.164385 121.03866 \nL 333.70507 107.843413 \nL 338.198349 94.860578 \nL 341.396567 82.614233 \nL 343.087046 71.635488 \nL 343.115283 62.402203 \nL 341.404091 55.279905 \nL 337.964878 50.477256 \nL 332.898513 48.026365 \nL 326.385447 47.792061 \nL 318.667081 49.505889 \nL 310.022008 52.814896 \nL 300.741306 57.333312 \nL 291.106643 62.686951 \nL 281.373433 68.544511 \nL 271.759985 74.63462 \nL 262.442404 80.750467 \nL 253.554094 86.745813 \nL 237.404137 98.036817 \nL 230.229778 103.254311 \nL 223.67074 108.174932 \nL 217.714079 112.808316 \nL 212.333438 117.171528 \nL 207.493096 121.285069 \nL 203.151271 125.170182 \nL 199.262739 128.847157 \nL 195.780837 132.334386 \nL 192.65896 135.647886 \nL 187.31529 141.805333 \nL 182.893089 147.399189 \nL 174.017062 159.154719 \nL 170.744088 162.96906 \nL 169.07556 164.672976 \nL 167.360425 166.233003 \nL 165.581506 167.64102 \nL 163.722864 168.887357 \nL 161.769701 169.96066 \nL 159.708335 170.847795 \nL 157.52618 171.533726 \nL 155.211816 172.001438 \nL 152.755117 172.231888 \nL 150.147433 172.203985 \nL 147.381897 171.894712 \nL 147.381897 171.894712 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p5fa4cf41e2\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAh8AAAGdCAYAAACyzRGfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOyddXhT9/uG7yR1d3entGhxdxvbYMbcXZh9JzDfkB/bGNtgwphvzJENd3dvqbtTd0/O7480IWmTNGUtlHHu6+oFJOckp6U55z3v53mfRyIIgoCIiIiIiIiIyGVCeqUPQEREREREROTaQiw+RERERERERC4rYvEhIiIiIiIiclkRiw8RERERERGRy4pYfIiIiIiIiIhcVsTiQ0REREREROSyIhYfIiIiIiIiIpcVsfgQERERERERuayYXOkDaItCoSA/Px9bW1skEsmVPhwRERERERERIxAEgerqary8vJBKDfc2elzxkZ+fj6+v75U+DBEREREREZFLICcnBx8fH4PbdKr4eOutt3j77be1HnN3d6ewsBBQVj1vv/02K1eupLy8nCFDhrBixQp69+5t9HvY2tqqD97Ozq4zhyciIiIiIiJyhaiqqsLX11d9HTdEpzsfvXv3ZseOHep/y2Qy9d+XLFnC0qVL+e677wgLC+O9995j0qRJJCUlGXUwgHqpxc7OTiw+RERERERErjKMkUx0WnBqYmKCh4eH+svV1RVQdj2WLVvG/PnzmT17NlFRUXz//ffU1dWxevXqzh+9iIiIiIiIyH+SThcfKSkpeHl5ERgYyJw5c0hPTwcgIyODwsJCJk+erN7W3NycMWPGcOjQIb2v19jYSFVVldaXiIiIiIiIyH+XThUfQ4YM4YcffmDr1q189dVXFBYWMnz4cEpLS9W6D3d3d619NDUhuli0aBH29vbqL1FsKiIiIiIi8t+mU8XHtGnTuOmmm4iOjmbixIls3LgRgO+//169Tdu1HkEQDK7/vPrqq1RWVqq/cnJyOnNIIiIiIiIiIlcZ/8pkzNramujoaFJSUvDw8ABo1+UoKipq1w3RxNzcXC0uFUWmIiIiIiIi/33+VfHR2NhIQkICnp6eBAYG4uHhwfbt29XPNzU1sXfvXoYPH/6vD1RERERERETkv0GnRm1ffPFFZs6ciZ+fH0VFRbz33ntUVVVx7733IpFIePbZZ1m4cCGhoaGEhoaycOFCrKysuOOOO7rr+EVERERERESuMjpVfOTm5nL77bdTUlKCq6srQ4cO5ciRI/j7+wPw0ksvUV9fzxNPPKE2Gdu2bZvRHh8iIiIiIiIi/30kgiAIV/ogNKmqqsLe3p7KykpR/yEiIiIiInKV0Jnrt5hqKyIiIiIiInJZEYsPERERERERkcuKWHyIiIiIiIiIXFY6HSwnIiIiIiIi8u9pkSuoa5ZT3ySnrklOXVOLxt/l1De3KP/UeMxEKuGmgT4Eulhf6cP/V4jFh4iIiIiIyGUio6SWzXEFbIkr5Fxu5SW9xud705jV35tnxofi52zVxUd4eRCLDxERERERkW4k5UI1m+MK2RRbQGJhdbvnpRKwMjPB0kyGlZkMS1Pln5qPKR83Ib2khj1Jxfx5Mpd1p/O4JcaHJ8eF4ON4dRUhYvEhIiIiIiLShQiCQEJBNZvjCtgcV0hqUY36OZlUwvBgZ6ZGeTAu3A0nazPMTaQGM9Daciango+2J7M3uZhfjuXw58lcbhvky5PjQvC0t+yOb6nLEX0+RERERERE/iWCIHAut5LNcYVsjisgq7RO/ZypTMLIEBemRXsyqZc7jtZmXfKeJzLL+GhHMgdTSwEwk0m5Y4gfT4wNxs3OokveozN05votFh8iIiIiIiKXgEIhcDqnnE2xhWyJKySvol79nLmJlDFhrkyL9mB8hDv2lqbddhxH0ktZuj2ZYxll6vd+ZHQQz08K61RH5d8iFh8iIiIiIiLdRFVDMz8ezuKHw5lcqGpUP25lJmNchBvTWpdUrM0vn7JBEAQOpZXy4bYkTmVXALD8jv5c18frsh1DZ67fouZDRERERETECMpqm/j2YAbfHcqkuqEFAFtzEyb0cmNatCdjwlyxMJVdkWOTSCSMCHFheLAz729N4rM9aby/NYnJkR6YmfQ8Sy+x+BARERERETFAUVUDK/el8/PRbOqb5QCEutnw5LgQpkV7YG5yZQoOXUgkEp4cF8LvJ3LJKq3jl2PZ3Ds84EofVjvE4kNEREREREQHOWV1fLkvjd9P5NLUogAgytuOp8aFMDnSA6n08ukpOoO1uQlzJ4by+ro4PtmZwuwB3thadJ/m5FIQiw8REREREREN0otr+GxPGutO59GiUMoiB/o78tT4EMaGuV5WEeelMmeQL98cyCCjpJav9qXz/OTwK31IWojFh4iIiIiICJBQUMWK3alsii2gteZgZIgLT44LYWiQ01VRdKgwlUn535Rwnvj5FF/tz+Cuof5XZPxWH2LxISIiIiJyTXMmp4Llu1LZkXBB/djEXm48OS6E/n6OV/DI/h3Tojzo5+vAmZwKlu1MYeGs6Ct9SGrE4kNERERE5JrkaHopy3ensj+lBACJBKZHe/Lk2BAiva5+qweJRMKr0yK4beURfjuew4MjAwl2tbnShwWIxYeIiIiIyDWEIAjsSylh+a4UjmeWA0rL8xv7efP42GBC3HrGxbmrGBLkzIQIN3YmFvH+liS+uHvglT4kQCw+RERERESuERIKqnhvY7yWHfktMT48NiYYX6erK5itM7w8LYLdSUVsOV/IyaxyBvpf+aUksfgQEREREflPU1LTyIfbkvnteDYKQVl03DnUj0dHB+Nh33NEmN1FmLstNw/04fcTufzf5kR+f2zYlT4ksfgQEREREflv0tgi57uDmSzflUp1o9KRdHq0B69M7YWf83+306GL5yaF8cfJXI5lllFa04izjfkVPR6x+BARERER+U8hCAJbzxeycFMi2WXKdNkobzveuK43gwOdrvDRXRk87S1xsTGnuLqRgsoGsfgQERERERHpKuLyKnl3QzxHWxNe3WzNeWlqBLP7e/dYR9LLhZe9BcXVjeRV1BPlbX9Fj0UsPkRERERErnqKqhp4f2sSf57KRRAuxso/Nib4sqbL9mS8HCw5m1tJQUX9lT4UsfjoLFUNzZzKKudkVjnHM8tILarFw94cf2drApytWv+0xt/ZCjdb86vKEU9ERETkaqOhWc7XBzJYsTuVuiZl6Nv1fb14eVoE3g6WV/joehae9sqfR0FlwxU+ErH4MIggCORV1KsLjROZ5SRdqEYQtLcrqWkkLq+q3f6WpjL8na3wd7ZqLUisCXK1ZqC/I6aynhdxLCIiInK1IAgCG84VsHhzInmtd/L9fB14/brIHjFK2hPxclBO9uSJnY+eSUOznMWbE9l6vlBnhejvbMVAf0cGBTjRy9OOkupGMktrySqtU/+ZW15HfbOcxMJqEgurtfZ3tDJlRh9PbujnzUA/x2t+HVJERESkM5zJqeDdDfGczFKahHnaW/DKtAhm9vESz6cG8HIQOx89loZmOQ//cEJtt2sildDby46B/k4MCnBkYIAjbrYdz4U3tSjIq6gns7SWbI2i5FxuBSU1Tfx0JJufjmTj7WDJ9f28uKGfFxEeV7+dr4iIiEh3UVBZz/tbklhzOg9QdpcfHxvMw6OCsDSTXeGj6/l4tnqaiJqPHkZdUwsPfneCw+mlWJrK+OCWvoyLcMXKrPM/JjMTKYEu1gS6WGs93iJXcCitlPVn8tl6vpC8ino+35PG53vSiPCw5fp+Xlzf1wsfx2trBl1EREREHw3Ncr7Ym8YXe9NoaFYAMHuANy9NibgmTMK6ClXno7CqgRa5ApMruPwvEYS2CoYrS1VVFfb29lRWVmJnd/k6ATWNLTzw7XGOZZZhbSbj2/sHd/s8eEOznJ0JRaw/k8eepGKa5Ar1czH+jtzQ35sZ0Z44WZt163GIiIiI9FR2Jxbxxt9x5JQp79Zj/B15/bpI+vo6XNkDuwpRKATCX99Ms1zg0Cvj1cVIV9GZ67fY+QAq65u579tjnM6uwNbChO8fGMyAyxCjbGEqY0YfT2b08aSyrpkt5wtYdzqfIxmlnMgq50RWOW//fZ5RoS7c2N+b6dGeolBVRETkmiC/op53/olny/lCQLlkMH9GL2ZEe4pThJeIVCrB3c6C3PJ6Cirru7z46AzXfPFRUdfE3V8fIzavEntLU356cAjRPpfffMXeypTbBvlx2yA/Cisb2HAun/Vn8onNq2R3UjG7k4pZsiWJx8YEcUuMLxam4vqmiIjIf49muYLvDmby0Y5k6prkyKQSHhgRwLMTw0S/ji7Ay96S3PJ68ioaGOh/5Y7jmv6fLK1p5K6vj5FQUIWTtRk/PTiESK8rL/r0sLfgoVFBPDQqiLTiGtafyWf10WzyKup5ff15PtmVysOjArljiD824odRRETkP8KJzDJeWxennhCM8XfkvVlRohi/C1GN215p0ek1feV69rczJBRU4WJjzuqHhxDmbnulD6kdwa42PD8pjCfGBvP7iRy+3JtOXkU9CzclsmJ3GvePCOC+4QE4WIm6EBERkauTstomFm9O4PcTuYDSjuDVab24eaCPODrbxXi2LrXki8XHlaGgsl49TttTCw9NLExl3DMsgDmD/Fh3Jo8v9qSRXlLLsh0pfLUvnbuG+fPgyECjxoBFREREegIKhcAfJ3NYtDmRirpmAOYM8uXlqRE4ikL7bsGrdToo/wp7fVyzxcfmWKWIKcbfsVsLj4ZmOXkV9eSV11NY2YC9lSmRnnb4OFpekmjKzETKrTG+3DTAh81xBSzflUpiYTVf7k3nu4OZ3DbIl0dGB4mjuiIiIj2ahIIqXlsXpzYKi/CwZcGsKAb696zU2ZrGFs7mVJBdVoelqQwrMxnW5ibaf5qZYGUuw0wm7fFi2ItGY2Ln44qwMbYAgBl9PP/1a8kVAvtSiskoriWvop78inp1wVFa26RzH1tzEyI8benlaaf+Cne3NdooRyaVcF0fL2ZEe7IrsYjlu1M5nV3BD4ezWH00mxv7e/P42GCCXW3+9fcnIiIi0lXUNLawbHsy3x7KRK4QsDaT8dykMO4bHnBFfSdAadmeW17P7qQiNscWcji9tFP7m0gl9PN14IXJ4QwLdu6mo/x3qPJd8ivEzsdlp6BSmdcikcC0qH9XfKQV1/DiH2c5nV3Rqf2qG1s4nlnO8cxyrceDXK3p5WFHL09bBgU4MSjAyeCap0QiYUIvd8ZHuHE4rZQVe1I5mFrKnydz+etULtOjPXlybEiPENKKiIhcuwiCwOa4Qt75J57CKuWFb3q0B69fF6m+IF5uGlvkxOVVcTKrjB8OZ5Fb/u+6AS0KgRNZ5dz+1RHGhLny0tRwentd2ej6tpjIlNcTxRW2+Lomi49NGksul+qOp1AIfHsokyVbEmlsUXS8g5GkF9eSXlyr7sx4O1gyq783swZ4G+xiSCQShoe4MDzEhVPZ5Xy2O5UdCUVsPFfAxnMFzOjjyStTI/B1EpdjRERELi9ZpbW8sf48e5OLAfBzsuLtG3ozLtztsh9LbWMLG87l8/PRbM7lVna4vYedBeEetjhYmeJoZYaDlSkOlqY4WpthZ2lK6oUaNsUVtLsB3ZtczN7kYoJdrfn2vsH4OfeMc29xdSMALjbmV/Q4rkmH05s+P8TJrHLemhnJfSMCO71/Vmkt//vjHMcyy7rh6PTTz9eB2QO8mdnHyygxVkJBFZ/tSWPDuXwEAcxkUu4bEcCTY0OwtzK9DEcsIiJyLdPYIufLvems2J1KY4sCM5mUx8YE8cS4kMvqVSQIAudyK/lwezL7WgsgXThbm/HsxFCmRHl0WrxfXN3IzoQLbIu/wK7EonbP3zvMn6cnhF7xi/76M3nM/fUMw4Kc+eWRoV362p25fl9zxUd+RT3DF+9CIoEjr07A3c74XzCFQuDno1ks2pxIXZPc6P0G+jsS6WmHmYmU9OIa0opryS6ru5TDVzM50p3ZA7wZF+GGuYnhD3F8fhULNyVwIFU53eNgZcrcCaHcOcQfMxPRMVVERKTrOZBSwuvr48goqQVgRIgz794QRdBl1KFV1jXz6a4UVh3I0LvNvcP8mdDLnSFBTpTVNnE0vYykC9UoBAEJyiUKiQQkrX8CSJAglUBvb3sm9nJH1mZpvKaxhX3Jxby7IV4rQdbW3ITfHh12RZfBV+1P572NCczs68Wnt/fv0tcW7dUNsDlOueQyyN+pU4VHTWMLj/14Un0BN4SLjRnv3BDFlN4eyKQSFAqB4ppGdiUWEZtbqVV4mEglDAt2ZnSoK+EetiRfqOar/elcqGo0+B7b4pUVNsCdQ/yYPcCHAX4OOpXWkV52/PjgYPYkF7NwYwIpRTW8/U883x/K5JVpEUzp7dHjFdoiIiJXB6U1jby3MYG1rcmzrrbmvH5dJDP7XB5bdEEQOJJexvO/n9EbHf/y1Agm9nLDwlTG0Ywy/j6bzz3fHLuk97MxN2HuhFBuHeSLvaWp+rHp0Z5Mi/Lglb9i+e1EDqDU+r381znWPTmiXcFyuSiuUV5bXMVlF226u/Mx+7ODnMqu6PSSywdbk1i+OxUTqYQWhe4f2Ue39WVypAfW5iZsO1/IvLVxlNQYLiK6kgBnK+4a6s8dQ/z0JvG2yBX8fiKXpduT1cc2KMCR+TMi6ScGNYmIiFwigiDwx8lcFm5KoKKuGYkE7hnqzwtTwrGz6P5l3uLqRlYfzeajHck6n3/7+t708bEnqbCazXGFav1JV3LXUD8eGBGo1d2RKwSe+eW0WscH8Pp1kTw4svNL/l3B87+fYc2pPF6aGs4TY0O69LXFZRc9XOqSS2lNI6OW7Na71PLajF48NCoIgLWnc3nut7NddsyXgq2FCY+MCuKe4QHqSrwtNY0tfLk3ja/2p6sjqmf29eKlKeGiKFVERKRTpBXXMG9NLEczlDq4Xp52LJodfVluaOLyKnnnn3idGrwobzseHBnIsYxyfjmW3e3HomJsuCuPjApieIgLAE0tCh7+4YRWwXPwlfF4X4Fgt3u+Oca+5GKW3NyHW2N8u/S1xeJDDz8czuSN9ecZHODE748NM3q/BRvj+Wq/7jXDl6dG8PjYYBQKgRmfHiChoErndvaWprx1fSTO1uY0tShokiuUf7YoaJQrqG9qIb+igeOZZZzP1/0al8ITY4N5cGQgznpabAWV9Xy4LZm/TuWqRan3jwjgiXEhegsXEREREVAKSj/fk8Znu9NokiuwMJXy3MQwHhgZ2O0J3LG5lTzy4wmdSysPjAjE1dac/9uS2K3H0BEf3NKXmwf6AFDfJOfur49yotVULcjFmp0vjLnsS97TP95PfEEV394/qMunjUTNhx6KWnUUvTyNdzS9UNXAD4ezdD73+NhgHh8bTGpRDROX7m33fKibDXMG+3FDP69OK5wVCoH4gioOppawfFcq1Y0tndpfxWd70vhsjzID5pHRQe3m6T3tLfnglr7cNzyAhZsSOJRWypf70vn9RI5SlDrUv9tPIiIiIlcfR9NLmbc2lrRipaB0bLgr794Q1e2d09PZ5cz67FC7x63NZNw9LIDDaSV8c1C/wFQXwa7WjI9wax0OsEdAoKFZQX2znAb1l4LGFjn1TXJ2JBSxI+FCh6/74h9n6e2lNJG0NJPxzf2DGPTeDhpbFKSX1PL32Xxu6OfdqWP9t4iaDz10Z+fjvQ3xrDqQwaOjg3h1ei+j9nl9XRw/HmlffNwy0IclN/fhsz1pvL81Seu5+4YHcGuMb5cqmptaFJzJqeC34zn8dSr3kl9nziBfHhsTTICLdbvnBEFgd1IRCzclklpUA0CgizWvTItgcqS7KEoVERGhoq6JRZsS1SJKFxtz3pwZyXXdLCg9nlnGLV8cbvd4sKs1Mf5O6uMxhuHBzkyKdGeAnyO9WicRO0txdSOrDqTz0+Esag1MP3o7WLLl2VHYtupeSmsaGfjeDvXzZ9+cfNm6zHKFQNhrm5ErBI7O69y0pzGIyy56eG1dLD8dyeaZCaE8Pymsw+1zyuoY/+EemuXaP6L+fg78+dhwNpzLZ+6vZ7Se2/nCmMtiaV7b2MKWuEJe+OPS9CUz+3rx1LgQwj3ad4Fa5Ap+PZ7DR9uT1fbwI0NceOv63oS4iXbtIiLXIoIgsP5MPu9uiFefF24f7McrUyO61TfoZFYZN33evugIcLZCKpGQ3jrKawgXG3Nev64Xw4KcceviC255bRPfHsrkk50pereZFuXBZ3cOUBdnz/56mnVn8gG4Y4gfC2dFd+kx6aOkppGY1sInZcG0Lu9qi8WHHl784yx/nsw1WuX70p9n1RHPmsS/M4WGZgUD3t2u9fhvjwxlSNDl9/MvqWlkxe5Uvj2Y2el9J0W689S4EPrqEIZVNzTzxd40vtqfQVOLAlOZhAdHBvHMhBC90zQiIiL/PbJKa3ltXZw6CTzUzYaFs6MZFNB9IXAns8q56fP2yyveDpbkGREHb2Eq5Z3ro5jRxxNrc+X5SrWcfTSjjPLaJmoaW6hpbKG29U/13xtaqGuWE+Jqw6RIdyZFunfoT1Ld0Mxne9L4fE+azuffuC6SB1onXHYnFnH/d8fVz10u8WliYRVTl+3HydqMU69P6vLXFzUfemhoVrbGLDow5QJIL67hr1N57R6fOyEUKzMTIt/YqPX4stv6XZHCA1Rtz968NiOSvclFPPDdCaP33R5/ge3xF5jS252Xp0ZofcBsLUz535QIbo3x5e1/4tmVWMQXe9P4+0wer10XybQo0R9EROS/TLNcwVf70/l4R4rSodREyjPjQ3hkdHC3GRSezFIur7R1NHC2NqO0tqnDwuPhUYHcPthPfS7LLa/jn7P57E8t4VBqCeV1zUYfy4msck5klbNocyLBrtZMivRgUqQ7/X0d2mVu2VqY8vLUCCrqmnVO1ryzIZ6+vg4M9HdkeIgztuYmai3f2ZyKy1J8XLRW79ghu7u5xooP5UipMcmx37UmLrblqfEhxLeZRnl+Uhg39r+8oiFdyKQSxke4k7l4BnkV9by+Lk6nza8utp6/wNbzF7hnmD9zJ4RqTcf4O1vzzX2D2BF/gbf+OU9ueT1P/HyKUaEuvH1978vqWCgiInJ5OJVdzrw1sSQWVgNKncSCWdEE6tCLdQXx+VXctvIw1Q3a4npzEymNLQq9CeEAnvYWLJgVxehQV+qa5RxOK+Xbg5kcSC1RO6z+W9KKa0nbm8YXe9NwsTFnVn8v/jclol0R9ubMSI5nlql1c5o8tfoUm54ZhaO1GRN6uamXXs7nVzI9+t8nrHeEytvJ1fbKik3hmis+Wjsfph1X7KoPXFtMZVKmf7Jf/e/ZA7x5evylGbUoWhMQ/z6bx5a4Qkpq9H+4POws8HKwoJ+vI0ODnBgc6ISDlf7q1dvBkm/uG0Rzq37j9XVxRh3TD4ez+OFwFv+bEs6DIwO18hcmRrozMtSFz/YoP4D7U0qYsmwfj4wO4slx4lKMiMh/gaqGZpZsSeTno9kIAjhamfLajEhmD/Dulk5nUXUDD/9wkrM5FTqfNxTc+fCoQB4dE4xUIuGPEzks35XK2dxKnTeObTE3kWJuIkUhKBNe5QoBhSCgEDC4v5mJlJKaRr7an0FGSS0r7hygFXFhYSrj09v7c8PygzTJtY+9oLKBtafzeGBkIFOjPDSKj66zVzBETwmVg2u1+DBi2SW7tH32yhvXRZLUpihZPLtPpz6QgiAQm1fJ+jP5fG0gb6AthVUNFFY1cCq7QmuMbHyEG7fG+DIk0Eln2JypTMrdQ/25e6g/SYXVTFm2z6j3e39rEu9vTeLDW/oyq7+3usVoYSrj+UlhzO7vzVv/nGdPUjErdqex7nQ+r18XyZTe4lSMiMjViCry/q2/z1PUepG6eaAP86b3wsmIIMvO0tAs5/V1cfxxsvPTe6vuiWFCLzdOZpXz3oZ4NsUWtrvQt8XbwZKYAEcG+iu/IjzsDFqcKxQCRzPK+OloFlvjCtXO1uYyKa425uRV1LMjoYjHfjzJ53cN1LpR6+VpxyvTInhnQ3y71z2UVsIDIwMZE3bRY2NPUte7repCdYN7pcds4VorPlpUnQ/DxUdDs5zCqvbGNTcN9NESmb41M9LodU+FQmDl/nQ+2ZnSqVC6jtiVWKS1tDJnkC9jw10ZHebarhMR7mFL5uIZ5JTVMWrJbqNe/4U/zrJkayJLb+3HiFa3PoAAF2u+vW8Q2+Mv8PY/8eRV1PPYTycZE+bKW9f37rbWrIiISNeTV1HPG+vi2Nl6Lgl0sWbBrCiGB7t0sGfnUSgEVh1IZ+GmzhmAyaQSfn5oCL297Fh3Oo9pH+/X26E2kUro7WXHQH8ngt2skSsEiqoaqW1qIaGgitPZFdQ3yWloUXp41DcraGyW42ZnwaRId6ZEuuNmZ8GwYGeGBTtTVN3Ab8dy+OVYNvmVDVq+S7uTinnkx5OsvFu7ALl/RAC7k4rUIl0VOxKKaJErsDSTMTrMVZ2yW1zd2O3LIerORw9Ydrmmpl0mLt1LalENqx8eYvBDlXKhmkkfte8QrH54CHd8dVT972PzJxgVuywIAvPWxvLLMePn0LuCYUHOvDo9gmhve53diKzSWsa8v8fo14vxd2TBrOh247n1TXI+25PKl3vTaZIrY7MfHRPEE2NDjNLXiIiIXBla5Aq+O5TJ0u3J1DXJMZVJeHxMcLdF3h9KLeGOVUc73lADXydLPp7TH3MTKT8dyWbt6Vy1fk8TU5lEWTj09kAqkXAmp4LDaaUkFFbR2aucRAL9fR2Y0tuDKb091L5ILXIFu5OK+XBbUrvCZ2SIC1/dE6N1ziuubmTQgh20Zf2TI+jr66COtwf47v5BjO1ix9G23P31UfanlPDhLX25qdV5tSsRp130cFHzYfhDlaVjyeWVaRH8qTF2a2UmM7rwePuf+MteeAAcTi/l+uUHAXhuYhj3jdDOevF3tiZz8QwySmoZ98GeDl/vRFY5U5bt47YYX16YHKael7c0k/HC5HBmD/Dhzb/Psy+5mE93pbLmVB5vzoxkkmhQJiLS44jNreTVteeIy1PqDQYFOLJwVjSh7sY7QBtLTlkdEz7c2+HSiCbeDpZ8cns/MkvqeHdDPKezK3Ru5+dkRaCLNW625iQWVvPcb2faTcqEuNkwKMARRyszLExlWJrKsDCVYmEqU3+Zm0iJL6hi6/lCTmdXcKr1a9HmRCI8bLlveABzBvsxKdKdfr4O3LjiIHkV9ZhIJUglEg6klvDAd8f55r5B6gLE1dacaVEe6jR1FYfSSunr68D4iIvFxqbYgm4vPnpS5+MaKz5ap106Kj7K2hcfE3u5s3jzxTbhk+OME5m+vzWJ7w5lGn2MEglEedkzPMQZL3tLKuubqaxvpqKuufXvTVTWN5N8ob2S2hAf7Ujmox3JBLlYs/imPgwKcFQXBIEuyiIkrbiGCR+2t4lvy28ncvit1X79kdFB6hn6QBdrvr9/EFvPX+DdDcqlmEd+PMm4cOVSjL+zuBQjInKlqW1s4cNtyXx3KAOFAHYWJsyb3otbY3zbjY/+W6oamnnu1zPq5RxjcLczZ8UdAziYWsp93x5vN/0CyvBMFxtzWhQK8ivqyW5zzg50sWZokHLJZGiQk1E3igCjw1x5bEwwhZUNbI8vZOv5CxxOLyWxsJpX1sRSWNXA3AmhuNqa8/V9Mdz02SFqm+SEuFlTWNnA4fRSvjmYoXV9uK6PV7viY1t8IY+PDVa7ngLdkrLbFtW0izhqe5lpNLrz0X40K6iNhmFiL/cO32/ptiQ+02M4o0mImw3Dg50ZHuzCsCBno90CG5rlnMoqZ19KCdviC0kv7nikLL2kllu/VLoFPj8pjDuH+KnHaoNdbchcPEPvslNbPt6Zwsc7U1h+R39mRCutlSUSCVOjPBgd5sKK3ams3JfO7qRiDn20j2cmhPLwqKBu8wcQERExzI74C7yxPo781jC2G/p58dqMyC7XGrTIFXy5L71d9IQhXGzM+freGPYkFXPPN8d0auPCW7sypbVNWiO0fk5WDFMXG8542FtQ09jCudwK/jqZR3F1I6YyCTKpBBOZFBOpBBOZBFOpFJlUQoibDSNCXNQCVA97C+4eFsDdwwKoqGvimwMZfLIrlWU7UmhqUfC/KeFEeNjx6R39eej7E6QW1RDmbkPyhRr+OJHDE2OD1Td3gwId230fp7MraGr1TVFxoTV7rLuQKwTKWseVr/pR20WLFjFv3jzmzp3LsmXLgNZlhrffZuXKlZSXlzNkyBBWrFhB7969u+J4/xX1Ro7a6lp2Oa0xBiaTSghzN+xtsWp/Op/sSjW4TbCrNV/eHdPOsry+Sc7Z3AqW7UjmSHr7mOi23Bbjy/f3D8bSTMbB1BL2p5SwKbagQ2Hr0u3JLN2ezAA/B96/pa/aFj7UXSlMjc+v0hor1sdTq0/zrX8m/3dTNCFuypODlZkJ/5sSwU0DfHhj/XkOpJbw/tYk1p/JY+GsaGK60RlRREREm8LKBt76+zxbzivvwH2dLHnvxmjGhLl2+XvtTS7m3m+OGb29iVTCuidHsDuxiNtWHm6n57A0lak1F0mFVeolFTsLE2YP8GHOYF9CXG1IulDNmZwKlm5P4kxOBSlFNZ3Seng7WHLbIF9ujfHFw/5ip8TByoznJ4djZ2nKexsT+GxPGo0tCl6b0YvxEe68NiOSdzbEq7vRmaV1HM8sZ3Cg8hznZmuBv7NVu+vKmZwKBgc6EeBsRWbrc9UNzVrdkK6kuLoRhaDsrjsZsGm4XFxy8XH8+HFWrlxJnz59tB5fsmQJS5cu5bvvviMsLIz33nuPSZMmkZSUhK1t168lGkuLXHFxVKqDUdu2LTyAw2kXFct3D/U3qGFIKqzmvY0JBt9jeLAzn985UKvLUVTdwOAFOw3upwvVMogm/XwdeGFyGMkXavhkZwqV9fpd/U5lVzDhw71IJbBp7igiPJRCoUgvOzIXz+BIeilzVh4xeAwns8qZuFTp+fHMhFBsWpdiglxt+PHBwepMiOQLNdz8xeHLkgkhInKtI1cI/Hw0iyVbkqhpbEEmlfDwqCDmTgjtcjF4YWUDM5cfUOsKjOGHBwZzLreC2Z8fokmHn4epTIJUAgkFF30wBgc6cftgX0JcbdlyvoDX18URm1epU4TaGfIq6lm6PZllO5IZH+HG7YP9GBPmiklr/slDrV3bN9af5+sDGTTLFbw1szf3jwggrbiGn49edDX940SOuvgAGBLo1K74OJRWwuBAJ7wcLNXFR2JhdbdZ1sflVQLKDrdJD0gqv6Tio6amhjvvvJOvvvqK9957T/24IAgsW7aM+fPnM3v2bAC+//573N3dWb16NY8++mjXHPUlIJNKsDKTUdckp6KuSe/culwhkFuu/Utia2HCobRS9b8nRRpecukodfa2GF/emxWlDvXJr6hn+OJdxnwbRnMmp4K7v7549/H29b1JvlCt9QFpi0KAqcuUnY6Nz4ykt5c9AEODnMlYNJ0fDmfx5t/nDb7vyn3prNyXzie392dmn4tLMTf292ZsuKs6DfOXY9lsj79wWdIwRUSuRRIKqnh1TSxnWru2/XwdWDQ7ml6eXTtF2CxXsGBjQqe0bYtnR1NS08j93x03aOjVLBdolstxsjbj5oE+TIhwIy6/ilX7MzplzCWRKO3Zna3NcbQ2JaesXq9Nu0JQjsPuSCjC18mSb+4dpBbh3jMsADOZlFfXxvLD4SwkwNs3RPHKtAh+P5GjDiHdGFvAW9f3VuvhBgU4tcsJO5RWyrMTtTWINY3t9S1dxemcckA5xdMTuKTi48knn2TGjBlMnDhRq/jIyMigsLCQyZMnqx8zNzdnzJgxHDp06IoWHxKJBD8nKxILq8kuq9NrCZ5fUd8uxdbDzkKr+DBUmcoVAj8eztL7/CvTInh0dBASiQS5QuDur49qvXZ3oVk03NDPi5NZ5eSW689ImPHJAQD+fmoEfXwckEgk3Ds8gDmDfZn7yxl1+1Yfz/xymi/2pPHxnH7qD66DlRn/d3MfZg/wZt7aWNKKa3n6l9P8eTKX926MwtfJqgu+UxGRa5v6Jjkf70xh1f50WhQCtuYmvDQ1nDuG+Bs01boU9iUr9RnG8sTYYMxNZLyyJtao7UeFunBjP28EYMO5fFbuS9e7rVQCMf5OjAx1wc/JChcbc1xslQWHk7VZu++9qLqBM9kVnMlRfp3LrWx38c8pq+eeb47x1+PD8WrNXpkz2A8zEykv/HGW7w9ncd+IQAJdrBkW7KL27KhrkrMxtoBbY3wBGBLYPvdLFdOhqUE0xgDzUlEVof392mtQrgSdLj5+/fVXTp06xfHjx9s9V1iovCC5u2t3Btzd3cnK0n1BbmxspLHxYpuuqqr7bGZ9W4uPHB3LKirydVTDHvYWpGj49BsSTB5OK1VrS9ryvynhPDYmGFAa7QTP22TsoXcp61stfUHZwjyWoV9XohrV/evx4Qz0d8TcRMYXdw/UimbWR3xBFZM+2seDIwN5blKYeilmSJAzm+aO4os96azYncre5GImfbSXZyeG8eDIwC6PeRYRuVbYm1zMa+tiySlTnsemRXnw1vW9ce/iGPni6kbGf7hH5ySKLiZEuBHpZccXe9Pa3dy1xcxEym0xvkR523Eis5wX/jird1tvB0tGh7ngbmdBTlk9WaW1fH8o02AOjLeDJY+MDmJipDuTe3swubcHoLxx3B5fyEt/nqNK4/sqqGzg3m+O8cdjw9SRFrMH+PD32Xz2JBXz6/FsXp3Wi0mR7uriA+DPE7nq4sPXqX1onKrQ0So+jIj+uBTkCoGzOcpll/5+Dt3yHp2lU99pTk4Oc+fO5aeffsLCQv8vc9sWuiAIetvqixYtwt7eXv3l6+vbmUPqFH6td9a6NB0qdBUWnfng/npc97KGrYUJ9w4PUP876AoVHm1RFR6qwkAfN31+iIBXNqq3d7ExJ3PxDDY9M6rD9/j6QAZRb25l/Zk8VJ525iYy5k4MZfOzoxgW5ExDs4LFmxOZ+ekBTmeX/8vvSkTk2qK4upFnfjnNvd8cI6esHi97C1bdE8Pndw3s0sJDrhBYtDmBQQt2GFV4OFubMX96LxIKqvh0V6rBwsPCVMrtg/24f0QAuxKLePmvWJ3W66PDXHloZCDjI9zIq6jnl2M5LNuRwl+ncjmRVW6w8ACltuPNv88zYvEuAl7ZSMArG/mmNepiapQnm+aOaneBTimq4cHvT1CvIeK/fbAfAH+dzKWpRcGkNhOQxzLLyGydyJFIJAS76rYasDS7eM3pDmM3gNSiGmoaW7AykxHWDT4ul0KnOh8nT56kqKiIgQMHqh+Ty+Xs27eP5cuXk5SkHKsqLCzE0/NiQl9RUVG7boiKV199leeff17976qqqm4rQIwpPjRNuAw9pou6phY2nCvQ+dydQ/zVF/h3dfj9G+KOIX709rLDzdYCN1tzXG3NcbExVxdKlXXNpBbXkFZcQ8qFao6klxHbKi4yFmPXGlVjulueVQpTI73syFg0nT9O5PLSX+cM7jv31zN8uTedZXP6qT8Awa42rH54CH+dymPBxngSC6uZ/fkh7h7qz4tTwrHrJuW3iMh/AYVC4PcTOSzclEBVQwtSCdw3PJAXJoep9QZdxYnMMm7+4rDR2781M5KNsQUs2GRYfG9lJuO6Pp6YyqT8cSJXpxGZj6MldhamJBZWsS+5WKvD0BW8syGeBZsSOD5/Ij6OVvz+6DA+2JbEl3svLvOczCrnqdWn+PLugZjIpIyPcMPV1pzi6kZ2JFxgerQnfXzsOZd78dz7z9l8np4QCsC4cDfSitvneVmaaofSdQdnWvUefXzsu3zp7VLp1G/nhAkTiI3VXqu7//77iYiI4OWXXyYoKAgPDw+2b99O//79AWhqamLv3r383//9n87XNDc3x9z88swcXyw+9GsddBUatUZemLfq0UGYyiTcPyIAgMTCKqMD5V6cHMZ9IwI77ErYW5mqw5I0aWyRk1RYzfJdqWyLv2DUexrL1GX7cbQyZeuzo3Gzs+DWQb7MGuDN4z+dZEeCfkOh+IIqJn+0j4dGBvJs61KMRCLh5oE+jI9wY8HGBP46lcsPh7PYElfIW9f3ZlqUhyhIFRFpQ2pRNfPWxHEsU9mNjPK2Y9GsPkT72Hfp+5TXNjFn5RGSLujOUWnLsxNDyS6r461/DN9k2ZibMDnSHbkgtBNjtkWpT9N/3u4K5AqBAe9uVy8xvzqtF0MDnXly9Sm1bcHOxCIWbErgzZm9MZVJuTXGhxW70/jlWDbToz2Z1Mtdq/jQ1NVpju9qYnkZll1U7rA9Re8BnSw+bG1tiYqK0nrM2toaZ2dn9ePPPvssCxcuJDQ0lNDQUBYuXIiVlRV33HFH1x31JaISNOaU1eldCtJVfGhqEEwMVI0rdus2FLuxn7e69amaJjHEU+NCeHh0kNEdF32Ym8jo4+PAyntiAOXJ6tdjOazqRJquIcrrmhm8cCdTe3uw9La+WJmZsOreQVTUNdHvne0G9111IINVBzL46p4Y9fSQk7UZH97al5sGeDN/XRwZJbU88fMpJkS48fYNvfFxFAWpIiINzXI+253K5636CSszZdL0fcMDunSEUqEQ+Gp/Oos2GxcANy7clQhPO5btSDG4nZ2FCaNCXWlskbPmdF67581NpDTqGLvtCsxk0g4t3m/6/BBPjA3mf1PCGRfhxqOjg/loR7L6+Z+PZvP8pDBsLUy5LcaPFbvTOJBaQk5ZHZN6u/Ph9ovbltVdXALS13HQvL50l+BUXXz0kEkX6KTmwxheeuklnn32WZ544gliYmLIy8tj27ZtV9TjQ4WPo1L0U9PYQnmdbt8LE5m0XafBUcOLwtNBd/Va1dBMapFuy/NHRgcB8NKf+oVToCxsjs+fyItTwv914aGLEDdbXrsukszFM9j3v3E8PymsS153y/lCIt/Yyhd705ArBByszMhcPIO/Hh/W4b4P/3CCB747TmHlxRTh4SEubJ47imfGh2Aqk7AzsYjJH+3jmwMZBsfyRET+6xxKK2H6x/v5pFU/MSHCjW3PjeahUUFdWngkFFQRNG+T0YXHsxNDOZRWyucGHJ0drEwZH+FGL087NsYW6O2QdlfhAWgVHm6ty9e6+GxPGsMW7UKuEHhoVKCWHXlTi4Kt55WdZD9nK0aGuCAI8NvxHMLdbbXEpeUd6E9AOQasojuWXaobmkkuUnat+vUQsSl0QfGxZ88etbspKIU1b731FgUFBTQ0NLB379523ZIrhYWpDI/WDkRndB9WGsWIp3171TJAkR5r3AkRboS62yIY0Vpc88TwTtneFlc3sj+lmJ0JF1h3Oo9lO5L5cm8aPx7J4ruDGaw9nUvyhWpadFT6fs5WPDMhlMzFMzj4ynhGhLQfBessizcnEjxvE7tbcxwG+juRvnA69w7zN7jfrsQihi7ayQ+HM9XFhYWpjOcnh7N57igGBThS1yTnnQ3x3PT5IZKNbP+KiPxXKK9t4sU/znLHV0dJL6nFzdacz+4cwKp7Y7q0I9jQLOfRH08w7eOOO7QA9w0PINzdlmU7UvQWDWYmUgYHOOFpb8muxCKOGpiuu1Q0ly4kEmUcxrhwV54YG8wLk8IYrMMeoai6kZKaRkaHueocNCisauC7Q5lYm5swt1W3oeLvsxcnBlXC0z9bxbEx/hffS7Pzoc9tVbMDb94N0ROxuZUIgnLKx9iMm8vBNZXtAkrdR2FVA9lldfTT04KyszTVMqCpbrjYJdFXHFTW665wJ7YuKWj+suri3Rt608dH9/Fo0tAs5++zSrdQY8fcVKii7idHehDmYaN2evV2sOTnh4ZS3yTnm4MZncpj0MX93ynHsLc/N5pQd1veviGKuRPDGPCu4aWYN9af5/M9aXxz3yC1EVKImy2/PTKM1ceyWbw5kTM5Fcz4ZD+Pjw3hyXHBHbrViohczQiCwNrTeby3MYGy2iYkErhriD//m9r1YuxdiRd44LsTRm07NMgJS1NZh8Zivb3sUAiodSndhaa9gSAoM6zSS2rZnXRRmPrQyEDC3G3ZlVjEtvhCtU37vuRinK3NiAy0Y39KidbrvrshnjuH+DFnsB+rDmSoXUoPppZQXN2Iq605Y8OVFvWFVQ3qiRIVmp0PfT1bVdgb0OXBfnAxGqSnjNiquOYMFTR1H/pwaNP5qNCzRKNJea3ubXxb70rm/npG774Te7lx11DD3YGzORU8+uMJIl7fwkt/nut04QHKluOnu1KZufwA4a9tIeCVjXy8I4WiauWSh6WZjCfHhZCxaDrf3j+o06/flkkf7WPKR/sorm7EyVq5FPPTg0MM7lNQ2cC0j/ezaFOCeqxNKpVw11B/djw/hom93GmWC3yyM4UZnxzgZFb3ntRERK4UGSW13PX1UZ7//SxltU2Eu9vy52PDeffGqC4tPMprm4h5b4fRhcetMT4cSS/TurC3xc/JiggPW87nV2lZo19JVh3I4KW/zlFW18ThVydwn4b1QWltE/tTSjDTsXT14bYkTGVSXpwcrn5MrhDYFKucbLQ2N8G6teAoqWnS6sJU1Deru7mCjtaHIAh6l+u7CpV1QU8Sm8I1WHyoJ150hMepaLvsotmSq9Mz+VKhJztFl7lMW5bN6a93mkMQBJZuS+KGFQfV64xdyUc7khm8YCcBr2zkxT/Ott5dSRgX7kbm4hnseH4MQwL1O7p2RNKFagYt2MHizYm0yBWMDHUhdcE0ZkR7Gtzvy33p9Hpji1bMtIe9BV/dM5AVdwzAxcaM1CJlTsyb6+O61ZZYRORy0tSiYPmuFKYs28fB1FLMTaS8NDWcDc+MbDfR9m8QBIFV+9Pp/+52rbtvfdwW44u3g6XB5WMXGzOCXa3JLqsjsbBnLo8eyyhjyMKdDPB35LUZvbSe0yVG/Wp/BjWNLcyI9tSypl9/5qJYVtURL65u1Op8CAJU1OnXfSgESLnQfcWHIAhqsam+Tv+V4torPpyVxUBnNB+ZGtHNBRrCSE10/YJJJEqNiKFfvk9u7693lFYQBP7357kO03G7ij9P5jLg3e0EvLKRr/alU9XQTIibDb89Ooyzb0xmVn/vS37tL/amETJ/M4fSSjCRSVlx5wCOvDqhw/3u/eYYj/xwQh1WJZFImNHHkx3Pj+GWgT4IAnx/OIvJS/eqtSYiIlcrJzLLuO7T/XywLZmmFgWjQl3Y/twYnhgb0qXOv9mldQS+uqnDAEyAvr4OTI5057cTOXrzUKzMZPg4WlJS00Raca3ObS4HYe42zOzrxeNjg3lmfAhvX9+bkSEuOrd95pfT/HOugM/uHKDV8ejt1T775rnfziCVShgRfFEbdyq7Qt1BVwlXi6sbsWgT2Fdu4PwvCAKFVbqvKV1Bbnk9pbVNmMokOr+vK8m1V3wYYzTWJmn1eOZFx01d9usAZTpUzZ52FpiZSA0uuYwJ1R1pLQgCsz8/pBYxXW4WbEqgz1vbiHlvB7G5ldhbmfLRbf2Ie3sKM/oY7loY4o6vjhLx+mZKaxrxsLcgc/EMlt7a1+A+2+IvMGjBDn49lo2itYXpYGXG+7f05acHh+DrZEl+ZQP3f3ecub+eptSIuzgRkZ5EZX0zr66J5eYvDpN8oQZnazM+ntOPHx4YjJ9z1wlKW+QK5q2NZfT7u43a/p5h/pzNqdDrE2QileBiY05dk9xgVtTlIvlCDf+czefzPWl8siuVN/8+j4OVKbteGMMLOqb7zuZU8OvxHFY/fHE5+Hx+VbsO0/b4C1TUNRHmoT21uSNB+XNRdT5Kahq1ll0AylqX5HUJTjWH97pDbHqqdckl0su+2wzMLpVrrvhQaT4KKut1RjhD+86HZku/So/WQtcEhk/re+3V48YX6WmnM1JeEATmr4tTt8uuJCU1jcxcfoCAVzay+mg2VqYyVtwxgLNvTGZChNslvWZDs4KB7+3gg61JyBUCswf4kPTeVHVhqI9X1sQy9eN9WmukI0Nd2PrsaB4eFYhUosytmbh0L2tP5+pcYxUR6UkIgsA/Z/OZ8OFefjmmjGaYM8iXnS+M4YZ+3l1qrnc6u5yQ+ZtZbSDZWsX1fb0IcrXmBwMhmY5Wpghg1JLNlWTDuQLGf7iX/Mp6dr84ltFh2jd8+5KL+ftsPs9OvDjRkqVjWf6zPWlEtCk+ilo7svqWXeDijamgQ3KqedMa6q477PTf0BP9PVRcc8WHq405FqZSFIL+LsaleGzE5bUXVal8RfRxXV/dHYQfDmcZdYLQJMLDlvnTe/H9A4OZNz2C6/t60c/XAWdrMyQSZeLjv2Xe2liC5m3i1TWxmJtK+fq+QZx4bSJDgy5NE7J8dyrB8zZxKrsccxMZ+14ax47nRxvcJ/lCDROX7mX5rhSaW9dnrcxMmD8jkrVPjCDCw5byumae++0s9317nNxy/R0uEZErSU5ZHfd/d5ynfzlNSU0jwa7W/PbIUBbf1EcdYNYV1Da2MGflYWZ9dqjDbW0tTJgW5cHfZ/NJ17N8YmEqxdbChPK65qvKd+eXYzlMWrqX4cHOfHHXQK3nfjicxfBgF7WJpK6C6s+TuYS62Wr5cqiGEVTLLiU1je06DKpll8bm9je7BZUXr0Hh7l2/LHKmh066wDVYfEgkkg6XXi6l+NC1bufraKVeJtDFuPD2nYMWuYI3/z5v1Hs6WJny4MhANjw9kodGBbFgUwL3fnOMhZsS+ftsPmdyKiitbUIQtNt7/5ZfjmUT8foW7lp1FEGAXx8ZxpFXJ9D3Eqvr2Z8dYuT/7aKirokQN1syFk3n7g6mfz7Ylky/t7cRq2Fl3NfXgX+eHsn/poRjZiJlb3Ixkz/ax7cHRXMykZ5Ds1zBl3vTmPzRPvYkFWMmk/LcxDA2zR3FkKB/77ejyZa4Anq/uZUj6R1PhV3Xx5PqhhY2x+mOiZBKlNqOhmbFJU3b9QRaFAKLNyfS2CJnamuarYpbvzysNQHTlrLaJizNZPhrdGhVFgvanQ9tDZ+VehJGu6AJd7fVWqrq5dm1RpyNLXLi85U3xf19e9akC1yDxQd0rPtw0LEUoomxFzIfR0ut+fO2tG3hAUZnsNw+2Jej8yagEASu+/QALxqIne4uDqSWMGjBDkYt2YVCEFj/5Aj2/W8cdhadt4/JLa+n3zvb+XJvGoIA794YxfH5Ew3uU9skZ+byAyzalEBD68/ZVCblyXEhbJ47isEBTtQ1yXn7n3hu/kI0JxO58hxNL2X6x/tZtDmR+mY5Q4Oc2PzsKOZODO1Sz5ry2iaGLtzJYz+d6nDbCA9benna6Q3FBKVHkEJAnXFytTP31zM808Y4DJQW6KYy/W1ihULQSoVVdT5cVYJTHZoPlbFXarH2VEuEpy05Gp3ZcB3Xg3/D+fwqmuQKnK3NjJq6vNxck8WHv7My2jhFz8Uo0EV39LGKC0aqk93sLPSqw4cGOelcz33i545PFvePCODlqRGEv7aFbw9mGnUs3UlOWT3DF+9izPu7sTKXce6tKfz91IhLeq1FmxMJmreJxMIqXG3NyVw8g4Wzog3u8+W+dCJe38KR9FL1Y8GuNvz6yFAWzIrC1tyE09lKc7Kl25NpbPlvnEBFrh5Kahp5/vcz3LbyCClFSkHpB7f05ZeHhxLs2nVr/YIgsPpoNv3f3W7UFMW0KA8SC6s79OLoKA/lauT2r46w58WxWo99uS+dmwfqT1XPLa/XumlUL7todD4s22g+3OyUzx1OK9V6PMrLnlSNMduuLj4uhsk59Mhgzmuy+BjQaraiz+bX28FSK8+lLboMynRVlnWNLXpFrbrGVlOLOr4zf3JcMPcND+gwuO1KkFVaR8x7O5i4dC/+ztZkLJreYeGgj6nL9nPvN8dobJFzxxA/4t6e0uE+c1Ye4eU/z1HV6kgrlUq4c4g/20VzMpErhFwh8OORLMZ/sIc1p/KQSODOIX7sfGEMNw/06dKLQlFVA4GvbmLe2tgOtx0R4oyXvYXeJZZrgcr6Zt7+5zxPjA3WenxalIeePeB4ZhnhHhe1GZWt/k4qrUiLQmgndFeFirZtmAe5WrMr6aI9gKuenJlLRaX36Gn+HiquyeJjcKtpVtKFaj3+HBKivPXHUutargl3b1+1VjU0q38522Ktw9tjQQcz94+NCWZWfx/GvL/H4Ha6iPS0I9DFmstRAKcW1dD37W08+P0JZvX3JvHdqZfkEbI3uZjw17awL7kYG3MTMhfP4IcHBhvc57cTOfR5axs7Ey4uX4nmZCJXgnO5Fcz67CCvr4ujqqGFKG871j4xggWzortUUCoIAst3pTB44U6jtp/a24ODqaXk6/Es+i+hy7FUk91Jxe063YbiJdadyVN3MuCiv5NKz+FiY67V7bYyk2FjbqJzqT7QxVrdOZFJJV3eneipzqYqrrlsF1CKg4JcrUkvruVYRhmTe7evdKO97dv5/KtIL2mvAvdzar9UU1nfjLmJ7jG0tuuCdU0tBu2KbcxNeGhUIDHv7dC7jQpXW3NmD/Cmv68D/Xwd8bDXHybU1KLgfH4lxzPL+GxPmlFW8sayK7GIXm9s4f4RASy5uQ+vTItgxicHOj2ad883x3CxMWfXi2MYHeZK8nvTmPHJflIM2BI/+P0JpvR2Z+GsaJxtzNXmZCNCnFmwMYE/Tuby/eEstsdfYMGsaMZd4tiwiEhbKuub+WBrEj8dzUIQwNbchP9NDefOIf56Y9UvlZyyOkYtMc6zY3q0BzsTithy/trpdhizXKSySVcRm1eJr5MlOWXtl8z3p5SoU8pBqTtralFQUqMsQlxszLREpG6tyzG6pu68NaYhJ/bq2vNPUXUDueX1SCTQx0f/jfSV5JosPgCGBDqTXlzLUQPFhz40tQUqPOzbt8z0dT2gffHRkb//nUP9eOefeIPbALx+XST3DQ8w+iRnZiKlv58j/f0ceWR0MAqFQGpxDccyynh3Q3yXxFt/ezCTbw9m8tbMSI7Pn8DJrHJu/uJwp16jpKaRPm9t4/2b+3BLjC/bnx9DfH4V0z/Rn7659fwFtp6/wMdz+nF9Xy8kEonanOyGft7MWxtLduu44w39vHjjukicu7j1KXLtoAqBW7gpQX0xmtXfm1enR3R5mqhCIfB/WxL5cl96h9vaWZgw0N+RTbHXTtHRGXYnFfPI6CBWavwsw93tdBYf0H5ktqK+SW1s6GJjrl18tC65pBW3P79renyM1TH5+G8406r3CHOzxbaLAwi7imu2+Bga5MQvx7I5mtG+kAAMLrvoMv9SretpUlnfTLNc92RMWwvejtwBr4v2YubyA3qfHxLoxPs399Xphljb2ML2+Av8eCSLk1nlOvZWIpXA7AE+TIp0Z2SIC/HvTKW+Wc6m2AJe+vOcweMzhrf+ieetf+L56/HhpC+czqoD6SzclNip1/jfn+f435/nODZvApFedqQvnM6Tq08ZXLue++sZfjmWzdJb++HloLzbUJmTfbQjmVX701l/Jp99ycW8MTOSG7vY3Enkv0/KhWpeWxen1pEFu1rz7o1RDA/Wbe39b0gtqmbi0n1GbXtdH082nCsw2FW9VpBK9FsOeLbpDmeV6reIb2gjWK9paNFYdjEjSUNEqup86PJM0SxuIj271uOjp+s94BouPoYEKufp4/OrqGpobpcS2ZFBWFt0Fx8tOFjqXttt2/k4p+FX0ZZZ/b159rfTep+/c4gf790YpXXBbJEr2JNUzKtrY9W5KB2hEJRGOm0t3R8dHcSxeRNoUQj8fDSLFbvTjHo9fdz0+SEkEjg+fyJ3DvHntpWHdZq0GWLwwp08NzGMp8eH8PldAztsPx9JL2P44l0smh3NnEG+SCQSLM1kzJvei+v6ePLSn+dILKzmud/Osu50PgtmReHj2HW21iL/TeqaWvhkZyqr9qfTohCwMJXyzIRQHhoZpBVI2RU0yxW8vi6OX4/ndLitp70FHvYWBsdnrzUMOSQcajOJYmhJt6FN58PJ2kxj2cWcnRoZU6qOV9u8m9n9vTnbWiAAWuO7XcHBVKVkoCuDCLuaa1JwCkoRor+zFQoBTma27wZIJBJGheq/a2lo49+hr/PhaG1c8aGZkNiWO4f46Q1rcrczZ/6MXlqFR3F1IyP/bzcPaQSy/Ru+3JfO4IU7Gb54F0VVjex4fjTrnxyBs57vzRgEAWLe28Era2JZ98QI1j3Z+dHcj3YkEzRvE2nFNfg6WZGxaDr3DjNsTvbqmlhmfXZIaw22j49oTibSOQRBYOv5QiZ+uJcv9qbRohCYFOnOjueVIXBdXXjE5VUSOn+zUYXHlN7uFFQ29Ih4hsuJh45zsLFsN9JfCdAa1TczkWJvaarufDhZm5Gn0cV2bxWnahYaAAMDHLVu8tqO5/4bLlQ1cDa3EokExkbozg7rCVyzxQegjoo/cglLL20FRO527bUCpTWNuNjoKT7a/LLpS8sF3RoTFSvuGKDlqJdWXMOgBTu6LSnxj5O5TFy6jxtWHGRCLzc2zx3VLiuhM/xzNp+Q+ZvJLa8jbeF0Hh4V2OnXmPDhXl768yxyhcDbN0R1mJZ7JqeCkf+3m5+OZKkdaLXMyQJFczIR/WSX1vHg9yd49MeT5Fc24ONoyap7Yvjqnpgu75Y1tSh4cvUprvtU/5KrimBXa3p52rH1vPEX0v8ShVUNl8VMS7Pz4W6nFLOrOh8SiURLJ6eajIlv46MS6GJNUjedV1SFVD9fhy7XGnUl13jxoVx6OarHejjKS3/x0TZ4qK2lLihFpPoMhIxNGIz2tueDbck6n3tkdBAxARdzVY5llDHhw71GvW5X8PuJXKZ9vJ99ycWsuieGh0Z2vnBQ8dTq0wTP28Q9wwI4Nm9Cp6cCfj+RS8j8zSQVVuNhb0HGount5vfb8tq6OGYuP6Dl2xLsasOvD7c3J/t4R4pezxaRa4P6JjlLtycz8aO97EoswlQm4alxIWx/bgwTI927/P3O5lQQ9tpmNhqxdDKzrxdpxbUdmoX919EnEjUGQ86mmmh2PtxbL+6qzkfbjribrYXOwQNNT487hvh1+lgNoSo+JnXD72RXcm0XH62BaLF5ldTq8HswNPHyy7GO25+NLQq9cdgdzZ+r8DcQp/28RkR0QkEVt37ZuQmSruShH06w6kAGz04M5dVpEZf8OqOW7Gbe2lgS3pnK8jv6d3r/Kcv28eyvp5ErBF6aGsGx+Ya7IOfzqxi1ZDffH8pUd0F0mZN9tCOZ65cfaNc+FfnvIwgCW+IKmbh0L5/sVBahI0Kc2Tx3NC9OCe/SljkoL24P/3CCG1Yc7HDbKG87envZ8c/Z/C49hqudSxlpNtbkS7vzYYFCIagnV9ovx5uTrmPSRdNWfbSB5f3OUtPYonZSnSwWHz0XH0crvB0skSsEnVMgvk6W2OrJKdmRYFxr01aHmRhohwwZGsl11GNGNLGXu1b35PnfL3+2iy6W7Uhh0eZERoW6MG/6pRUhOxKKCHttM1ZmMhLemWpQe6OLdWfy1V0QN1tlF0SzUNPFm3+fZ8qyfWRqeLiozMk+vb0/ztZmJBZWM+uzgyzclED9fyTjQsQwacU13PPNMR776SR5FfV42Vvw+Z0D+OnBIYS4dX0E+qnscsJf22KUBmH2AG/i8qo4n//f73b09XXgxn5eRidoyxUC1p0sCq30nKvb0qhRYLjZmVNRfzHdV7P4kEjAw96ynV7P3c5cK+hP0zH137I3qZgmuYJAF+sute3vDq7p4gMu6j50jdxKJJJOGbTE6FAWq9YC26I5WttswAgnqVD3uuCY8Is6i5NZ5T2u3bo/pYSFmxIJdbMxmBRpiAe+O0GvN7aw/I4BbHh6ZKf3n7JsH8//fga5QuCZCaGcfM1wUF1KUQ1jP9jDNwcy1F0QiUTCzL5ebH9+DLP6e6MQYOW+dKZ9vM+gFkfk6qa2sYVFmxOYumwf+1NKMJNJeXp8CDteGMO0aM8uH8VubJHz0PfHmW1E7P1Af0eivO1Yc0q/SP1qwtxESri7LVN6u3P7YF9m9PFkVKgLfX0d1K7MZ3MqWHcmn9PZFVzf14uJvTq+q6/t5A1CW1t0fWgWGO52FuobSQcrUy2tXaibDTbmJuzWsFAHGBrkzB8nLnbO/Zy6Tie0PV5pOTAp0r3H2wVcs6O2KoYEObHmdJ5+3Ye3PQdTdV9kcsvrtARmQ4KcONGmg3I+X/cIraYFr77uCsCFat3C0TGhF4uPmz7v+ISli1sG+jChlxsxAU642JgjCAItCoEWuUBTi4L8ynpOZJbx6/GcS767SimqIaWohl6ednjaW7ArsajjndrQ9+1t/G9KOOkLp/Pa+jhWH802et81p/JYcyqPbc+NJszdlszFM/hsTypLtui3UH5nQzw/H83iq3tiCGq9e3CyNuOj2/oxs68n89fGkVlax5yVR7hziB+vTIvosUY+Ip1DEAT+OVfAgo3xXKhSXlTGR7jxxnWRBHQQOHmpnMwqN/ozfMtAH/5oMwp/NWEmkzIkyImx4W6Eu9tiaSajRa6gtqkFBysznK3NcLI2w8bcRH3xLKxsYO3pPP46lUtqUQ1/n80nyNWaRbOjeXVNxzk2xqIv5VwTiUR7O3e7i3bqrjbmWpMuqgyxtpqdfr4OrD+jXCZzsjbrMtfbZrlCfX7t6XoPEIsPtej0bG4F9U3yduu3hnQfuxKLuGdYgMa2Du220XfR1hQ5GorSLtQzBaPSkhxK1W0Bb4j1T46gb6v5TG1jC/tTikkrriWjRPmlNNiRqE8EAc7WDPBzxNtRuQy1L7m404r6hIIqEgqqiPS0o66phczSjj/omry/NYn3tyax/6VxPDQykPGdFNZO/mgfNw/0YfHsaJ4YG8Ltg/zo/67+cL604lrGf7iXedMjeHBkkPoEMT7CnW3PObF4cyI/H83m56PZ7EosYsGsKMZH9PwPvIh+EgureHP9ebVRmJ+TFW/OjGSCEXfZl0JDs5wnfz6l5Quhj36+DjTLFVdl4eFhZ8GQICfMZFKSi2rYn1KiN7pCEzOZlHdv7M31fb15fGwwj40J4mRWOc/8cpr04lo+3JbMF3cN4LGfOk4CNwZ9hpCa2FmYkqxhIuZua6G+4Yz0siMu7+LNZn8/B52voWmzMPsSMq/0cTyjjKqGFpytzdSFT0/mmi8+/J2tcLcz50JVI6dzyts5EhoqPj7ekaJVfAzwd2i3Tawe87DjmcalquqyN79TQx390Q7dkzC6eHxsMM9ODMXcREZ1QzM/HM5i1f50yvXkuRjKYBkV6oKTtRn7kov17q8L1chZHx97g8Zqet93yW5uHuhD6oJp/N+WRL7an2H0vioDNc0uyIrdqQaDpBZuSuT3E7l8dU+MOoDK1sKUBbOiua6PF6+sOUdWaR0PfHeCG/t58cbM3jj9C/8TkctPZX0zy3Yk88PhLOStRmFPjg3h4dFBRk+ldZaTWWXc9LlxAvHZA7yvuiUWKzMZYe62VNY3k1FSq77T7wxNcgUv/xXLy3/FMj3ag1en9SImwIm1T47gvm+Pk1BQxXO/nWV2f2/WnL48Px8/JytiNQoMNzsLtQg90MVa6/sc4OeoMwFdM9Dv39gUtGVbq05ofIRbl2cIdQfXvOZDIpEYHLn1c7LSuyxSWqut59A1U30iq4wxOn7B2jrqdQbNFMbjOgzSdLHstn68PDUCE6mUFbtTGfl/u3l/a1KnCgdN9qeUsP5MPuV1zUglMCzIuVP7qwqPzopJQVlEhMzfzPV9vdn/0rhO7z/5o33MXxuLQiHw5LgQjs83rAVJLaph3Ad7tCZiAIYFO7Nl7mgeGR2EVKIUuk5aupd/zuYbvX4scuVQKAT+OJHDhA/38O3BTOQKgWlRHux4fgxPTwjtlsJDpe0wpvDo7+dAfz+Hq6rwUBXedU1yzuRUkKEjhPNS2BRbyKgluzmTU4G7nQW/PzqUESHO1DfLdeamdBdtRcZuduZqK/MWjc6JrbkJwa427fQegwOc+PlI1sV/BxonoO0IQRCumhFbFdd88QEXR271iU4N+eMXtTHz6ttm25KaJib37tpfBtXSUHWDcYXDmDBXbuzvjSAIvLE+jve3JhmcsOksCgEOX6L4UtV+vZTkxZnLD/D6+jhSFkzjmQmhndr356PZBM3bRE5ZHa625mQsms6T4wz7grz593muX3FAy2BOZdG+9okRRHjYUlrbxNO/nObhH05yoZuM3kT+PbG5ldz0xSH+9+c5SmqaCHa15scHB/P5XQO7zVb/bE4F4a9tYUdCx8ssdw7x43R2xVXhUqp5l11Wq1tg31XcuOIgW+IKsLUw5aPb+mFpKuNsbiUvTjY8zdZVaLo625ibUFnXTGltE6YyCTUadg39/ByQSiV8uVc7+O+mgd7qm1YfR8suK3ATCqrJq6jHwlTKqNCe62qqiVh8cFH3cTq7QstARoWuzoWKIxna3ZIb+3m128Zdj8uc4hKtu61ai494I0Wgn7b6ZXywLYmfOyHWvJxcyhIMwJ6kYkLnb2ZChBuHXhnf6f1HLdnNpztTAPjflIgO3VHj8qoY+X+7+fVYtlZ3o6+vA38/NZLnJoZhKpOwI+ECE5fubbedyJWlpKaRV9ec4/oVBzidXYG1mYx50yPYPHd0t520m+UKnlp9yijfjj4+9owOc+2xn1NdXO4Igsd+OsXm2ALcbC14sNXYcN0lLOtcCprL4H187DmbWwFAL087zrX+HaC/nyOCIGgNFgBYa4zzXuoUoC5UXY+RIa5d7jvTXYjFB0pbYhcbMxpbFJzNaX8RNCQ4W300S+vfuoJ89LUFDWkqDKESLG0zwgtg5d0DsbMw5esDGf86EO5y4WDV+cmRG1Yc5OW/zpG6YBrPTezcXdCH25MJfHUTJTWNanfUezrIiHllTSy3fXlEq7thZiJl7sRQNjw9ir6+DlQ3tPDKmljuXHWU7E4KbEW6lqYWBav2pzPu/T38ciwHQYAb+nmx68WxPDI6uMuzWFQkFFQROn+zUQFvD4wI5FxuJfuS//sJtB52ymwtBytTLkWe8PjPp6hpbOGRMUE4WJmSWlRzSeeNzpKqETg3wM9RHV0f7m6rpQXp7+egM5wuWcM6YWy4W5cd1/YE5YhtTzcW00QsPlAurajW3o7qWD4IdLHW0llocqSNTqSXjmhkzV9KTXI1qmJDwta2WLZaua8zQmQ1JtyVoqoGFm9OMPr1w9xtWDArio/n9GPe9AjuGx7A1N4ejAxxIcy9+41rKlp1KJ0NitqfUkLI/M1MjHTjwMud14LEvLeDP0/mIpFIeOeGqA71JMcyyxiycCfrTudpdTfCPWxZ8/hwXpvRCwtTKYfSSpmybB9fHxCD6q4EuxOLmLpsH+9tTKC6sYUobzv+fGwYH8/przMQsiuQKwReXXOOaR/v73DbCA9bZkR78s1B48XTVzuFVQ1kldZRUdfMrP4+/PTgEH59ZCi3D/bDzoD1gCYLNiZgZ2HKw6OCAGVYZXejmfPU389B3fkQ0J6W6e/roE6WVTEmzJVPdqWq/x3s2jWj2/kV9cTlVSGRwPheXVfQdDdi8dHK0FbBpL4RsPER+v9TNdc5TXXYpm+M1X3Xo1lFR3dC86BadmkreG1LpKcd5iYyfjqSZdQY2V+PD+PQK+OZ2MudD7clM/fXMyzclMh3hzLZcr6QA6klWmNm3c2lhuPN+OQAizYnkrpgGncN7Vxuwot/nCX6ra1UNzTj62RF+sLpzOjjaXCfZ387w/3fHdfqZMmkEh4aFcTWZ0czLEgpjHt3Qzw3fS4G1V0u0opruP/bY9z/3XHSS2pxsTFjyU19+PvJkVqZSF1NRkktwfM2GRXB8OiYILJK6/SeI64F/jqVy11fH2XOyiPkVdSz8ZlRLJod3WE36pdj2ZTXNjEiRCla7+7lTZWmS0W0j736xlLTKDLI1RoHK7N2QuGbBvqo/97Xx77LTMBUbtsD/RxxMdIivicgFh+tqJZWjmeVtRORAkwwUHwca6P7mNJGYCoIMC68/XqypvnMwE7MZVsaKVJ6dEwQDc3yDteP7xrqx7H5E/j2YCajluzmsz1plNU2YWtuQi9POyZEuDG1twf9/Ry6rT3dEfps6vWx8VwBIfM3c9/wADbPHdWpfasbWoh+axt7k4uRSiWsuGMAO18YY3CfPUnFxLy3gy1x2hcRf2drVj88hEWzo7E1N+FMjjKoTpURItL1VNY38+6GeKZ8tI/dScWYyiQ8OjqI3S+O5dZBvki7aQxRoRBYtDmBcR/s6XBbdztzbh7ow5d706lvFq36VexLLmbUkt3YmJvw+6PDcLM1fDH9eGcKvTxtMZVJqGpon8/VlQRrTLoEulhTXN1IQ7MCW3MTrRuP/r6OtMgV7Tre9pYXl4UeGW1Y3N4ZrrYpFxVi8dGKt4Ml/f0cEATYHFfY7nlDd0o/t9F9zOrv026bmX3bC1H3aqzt9vY23t9fl/eHLsaGu/H32XyDHZJ7hvnz9PhQ7l51jA3nCpArBIYFObPstn68NDUcE6mEPcnFbDlfyOnsiit2wazWEfxnDBOX7uPPk7kkvzfNYPdKF/d+c4ybPj9EQ7OcYFcb0hZO16np0eSxn07x5M+nqKi7+DOXSCTcPtiPbc+PZkKEG81ygaXblUF1miI1kX+HXCHwy7Fsxn+wh68PZNCiEJgQ4ca258bw6vRe3epCm1dRT9C8Te2mG3TxwIhATKRS/rwKDcMuF0//cprlu1JZ9+QIgwXId4cyMTeR6Vzu7mo0l4H7+zqo9YGRXnZq7Qco/Z50LbXvTbp4vh8V1jVhclUNzeqYB7H4uIqZEa1sr+tqgZqZSJke7aFzv7ZLNTEB7S9Q+vw0VAFlnQkB0ud62hZ7S1PWn9GvC7EwlXL/iEBu/uIQSReqcbM157dHhjLQ35G3/jnP6+vPE5tXedXrFL4+kEHYa5tZcnMffn1kaKf2PZlVTsTrW0goqEImlfDX48NZ+8Rwg/tsjC2g3zvb2d3GudLT3pJV98bw8Zx+OLUG1d244iCLNiW0S8MU6RxH00uZ+ekBXl0TS2mtcnT2u/sH8fV9g/TqtboCQRBYsTuVEYt3dbitiVTCAyMC+eZgRrspCJH27Ei4wM9Hs3i1g4DKqoZm+vo4dPvx1Gh0Vvr7O6rNxcxMpFo5Mv19Hdv5ON3Yz0tL02PXRYXwnqRimuUCwa7W6iiIqwWx+NBgWmvxcTxT99KLIfvsKg3PDV3rbofTdGtJVIIlXVoRfeR34sSVYkCjsfvFsTz64wlyyurxd7bi2/sH8cG2JJbvTlWLPlVYmErxdbLExebqde+MeW8HGSW1xL8zhdBOJpJO+3g/7/wTjyAI9PdzJPHdqVptVF3c/91xXvzjrJYfi0Qi4YZ+3mx/bjQ39PNCIcCX+9KZukwMqrsUcsvreHL1KW5beYT4gipsLUx447pItjw7ukunCXRRVN1A4KubDDrkqrh3mD/9fB2uGVGpRKJcmpjS252nx4fwyrQIXp4awUtTw3l2YijjI9yw0VhKNTORqrVsmqzYnUaEh53O0E4Vp7LK6e3V/Z2PsxpdygF+DmpzMc1usNLZ1YZvDmj/P0+KvHjjamgJv7NcXHLRfWPckxGLDw28HSzp56tcetlyvv3Sy1gdug0VbcfjfBwttf6tz1hIcz9jLXGNCUACZUFUVK17nDfQxZoDKUoBqb2lKV/ePZCX/zqn5ZhqYSplziBfJkS4YW4iI6esXm9K79XCq2tiGbpwJ/88PZKP5/Tr1L7fHMwg8NVNFFc3YmEq4+ybk/ny7oEG9/nzZC7Rb21rl8HjbGPOx3P6s+qeGDzsLNRBdfPXxhptHnctU9vYwtJtSUz4cC8bzxUglSiNufa8OJYHRgZ2qpi/FH48ksXgBTuN2vZ/U8L5/nBWu9BJFRam/43TcJS3Hdf39eK+4QHMnaAsMMxMlCZgSYXVVNY3Y2kqY3iwC1/fG8OZNyax5onhjAhxpqlFQV2TXOe47LSP9/PKNP3dj/Vn8rHqpCbsUkjUGJP1cbQiuUj57yYNsWlfHwdaFEK7pe66potdk6c7aYioj6YWBXuuoiC5tlzz2S5tmRHtyZmcCjaeK9DKbQFlR0NfJslTq09zXZ+Luo4HRwby9j/xWtssubkPL/15Tuuxz/ak8dJU5QdrerQn/5zt2CxnW3wh794YZXAbDzsL0ov1Wxu/MTOS19bGAfDE2GBeWxtHXN5F07Lr+nhiIpWw5nSeurI3kUoIdrUh3MMWKzMZdU1y6pvl1DS0kHyhusPpm55CVUMLEa9v4a/Hh3PytYkMfG9Hp/YftGAHn97en5l9vZjS24Nzb02mz1vbDO5zx6qj3DPMn1emRWBldvFjNzHSncFBTizalMgvx5RBdbsTi1gwK5pxXXiH9F9BoRD461Qu729NUhfWQwKdeGNmJL29Ou+S21nKa5sYvniXUSLR2QO8aZELejsjMqkEmVRCQ/PVKzz2srfAxsIEG3MTssvqtM4hhghwtuKWGF9ujfHlpweHsO5MHm//E09FXTPeDpbtlqXyKxtwsjbT6aC6K7Go03quzmImk6qLjKFBTsTmViIIyvOspofPuAhXTukoMpfvvjhi2xlbBUMczSilurEFFxtz+htw4e6piMVHG6ZFe7BgUwLHMssoqm5ol9cyqZe7XjdOQRDU41NDdWSd6NNqyBUCMqmEmwf6GFV8qKK+DRHkak2aDpMbFZklteRV1ONhZ4Gng6XWXdns/t5kltZyqlVEFePvyNyJoQwOdNKbwCsIAvmVDcTmVnC21ShJX6JvT+Gmzw9xYz8v0hdO550N8Xx3KNPofVWCuPVPjcDOwpTMxTP4+kAG726I17vPD4ez+OlIFr8/OkxLwGxnYcqi2dHM7OvJq2tiySqt4/7vjjOrvzevXxcpBtW1cjitlPc2xqt/r3ydLHl1Wi+mRXl02diiIdafyWPur2eM2vbt63vz4bYkvRMYlqYy6pvlV62eykQqwdJMpgxJ0zgdmptI6eNjj4+jFW625rjammNnaUpZbROFlQ0UVNZzMLWUzNI63t+axJd70/jszoHM6u+Dt4MVd3x1RKce5s31cQwLdmZTbPuOdGV9M9393x/haas+7w/wc1SPt/o4ap87J0V6qB2TVTw4MpCvW5dhPO0tuiz0TbXkMrGXW7dNcHUnYvHRBh9HK/r6OnA2p4KtcYXc3ab7MS7CjQ+3606SPZ9fRVRrVRvhYdvu+a06lnJA6YIY5W3P4E56D0R42Gq1AjWxMTchq1R358PcRMruVuX1/SMCtD4s48Jdya2o51R2BfaWpnw8px9jwlzbndwFQSCjpFbdXZFIQCqR4ONoxdhwN16eGkFWaS2b4wrZHFvA2Uu0T+9u1p3JZ92ZfI7Nn8DsAd5cv7xjC2wVSReqiXh9CxueHkmUtz0PjgxkZl9Pg+14hQA3f3GYR0cH8dykMK1sh+HBLmyZO5oPtyXxzcEM1p7OY19yMW/f0JsZ0Z6X5QLbE8ksqWXhpgS1o6+tuQlPTwjh3uEBeovhrqSqoZnrPz1AphEutSNCnIn0tOPNv8/rfF4iARszk0ue3uoptCgEqhtaMJFKGBrkzNAgJ4YEOdPHx77D/5O6phY2nivgm4OZJBRUce+3x3j7+t7cNdSfedN78Y6OAr68rpkYfyedxQcozz3dSX7FxRvH/n6OvNX6/2unofsKc7ch0MW6XcKuQsN/5LlJXZNBIwgCO67SEVsVYvGhgxnRHpzNqWBjbEG74qO3lx0uNmY6tQ/P/HqaXS+MBZTCwpsG+PDXqYvjdPo6ATsTiojytu+UJ39Ti4KRIS56i4+s0jrC3NsXQKBMYz3ZWq2X1jZp2QArBKVviY25Cd8/MFgrVE8QBDbHFfLXyVxOZZfrneCRSiDAxZoID1ti/J349PYBgHIk+dfjOV0aatdVDF6wk4/n9CPhnalM+3ifURcaFdd9eoAHRwYyf3ov3GyV9uzz1sYaNJn6cl86f53K45v7YuijodS3NJPx2nWRzOjjyct/nSP5Qg1PrT7N+sh83rsxqtscOXsilXXNfLIrhR8OZ9IsF5BK4I4hfjw3MQzny2SmtDuxiPu/O27Utm/OjOTPk7l8tV+3qNTcRIpcIVz1hQco3T1n9fdmRrQnJjIp5/MrOZNdwabYAhqa5TQ0K2hqUeDjZEkvDzsiPG0Jc7NFKpVgZWbCLTG+zOzrxatrYll7Oo/X1sVha2HC/SMC2HAuX9111URhwESsu8tyTR8PS1MZeRX1mJtI1dOKAJMjPbQGD1Roiv7HGsgJ6wzn86vIr2zA0lSmNlm72hCLDx1Mi/Jk4aZEjmWUUVzdiKvGnLlEImFSpAe/HGtv3JVeXKu19HJrjHbxoXrs9xPaj63Yk8rciUoRkq25cXdFeRX1DAlyZtUB3Se65KJqvc6c9pamVDe0YGEqpUBjKWhQgCMHWoWRX9w1UKvwOJNTwbsb4tVFCygV6mHuNphIpQiCgFwQyC2vp6KumfRiZVdkU2wh72yIJ8zdhgm93PnqnhhSi2r4/lAmST3M6XPur2fo7WXHjufH8PuJXOatjTV6368PZPD1gQyOz5+Iq605i2b34cGRgUxcuk/vPiU1jVy//CDPTAjl6fEhWiLJ/n6ObHh6FCt2p/LZnlS2x1/gSHopr83oxa0xvv/pLkizXMHPR7JYtjNFPXU1NtyVedN76S2ou5q6phbu++Y4xzLLOtzW2dqMx8YEt9N4aWJnYdLtJljdjYOVKXcO8eP6vt7kVdSxJa6QVfszjBbAh7jZ8PT4EK7r44VMKsHCVMbSW/viYmPGV/szeHdDAuMi3LhtkK/O4mNXov404O78OGjebIa723IqW3kO7OvroJXmPbm3OxvOats0jA13ZY+Gv4dbF908qLqAo8NcuiwZ93IjFh868HWyoq+PPWdzK9lyvpC7h2qHjI2PcNNZfIAy2jiydexLlzFZtY4TUFOLQl203DcigE81/P/1cTanwmAMvSAo77R0ofKU6OPjwAmNk6tcISBXCIwMcWFk6MVqenNsAU+uPoVCUFb9D44MZEIvN3p72bdzPBUEgeLqRpIuVHM+v4o9SUUczywn+UINyRdq+HxPGlHedtw7PKD1pJOuNWFzpTmfX0XI/M3sf2kcB18Zb5R/gyaDFuzgq3timBTpToibLSkLpjF12T7SDIh/P9mZwta4Qj67a4CW34uZiZTnJoUxLdqDl/88x9ncSl7+K5a/z+azaFYf/Jy7J/r9SiEIArsSi1iwKUG9nBfmbsP8GZEGk6W7mmMZZdz65WGjtn1+UhgpRTUs2KQ7O8lMJsXGwqTbo+a7E39nK+4bHoCjlRk7E4u46fNDWvHxoNTfRHnZE+BijZWpDAtTGVKphMySWhILqzifX0VqUQ1zfz3DJztTWHWv0n9FIpHw4pRwdiYUkV5Sy9Jtybw4JZy3/o5vJ+o1pCEr1jPV1xV42Fuoi48pvd3Veg+ZRsXjYWdBtLd9u2XbAGdrQFl8PDwqsMuO6WoesVUhFh96mB7tydncSjadK2hXfIwIcUYi0R1ktHR7EqvuHQQo1ewD/By0qnhd7qkAOWX1+DlbMaW3h1HFx5rTeR1mjuizQq9tVH6oPewstKzh41o/3E+OC1E/diyjjLm/nUEhwLQoD96c2RsPe2X13iJXsDupiPN5lSQUVpNZUouJVIK5iQxzUyl+TlZc39ebJ8aGUFjZwN6UYrbHXyAur4p5a2OxMTfhxv5eXN/Xiz9P5alNe3oCo5bsZuGsaNIWTueJn0+y9XzHCcIqHv7hBGPCXFl1bwymMik7XxjbYfs+6UI1Ez7cy7s3RnHXED+tzkaEhx1/PT6cbw9m8sG2JA6mKoPqXpwSzn3DA7pMwHYlSSioYsHGBHXnzdnajOcmhTFnkC8m3Tw2q6KpRcELf5w1SvQN8PGcfry3MUHvhc/Fxoyq+partvCI9rbn1hgfSmub+HJvulbWkoedBVOjPBgf4YaPoyUSiYTaxhbqmuQ4Wpni72ytdf6pamjmh0OZrDqQQVpxLXNWHuaXh4cS5GqDuYmMt67vzT3fHOPHI1nMnRDKuAjXdvoOQ8u1Wd2YGq05wdPX14FPdqUikWiP2E7u7a6zY605ZKA5DflvyCmrI6GgCqnEcOZYT0csPvQwPdqTRZsTOZpRSklNo5ZxmJWZCaNDXbXs0VXsSCjSWnp5YmwID/1wosP3++dcPk+OCyHSSJvgfcnFHXoZ6Cs+VL4CiYXadxJNLQqCXa0ZGqTs2JTUNPLQ98dpalEwOdKd5XcMQCaV0NSiYM2pXD7fm2b0h95UJmFYsAtzJ4RSWd/M9vgLZJTU8tORbKQSuL6vF9dFe7LuTF6PmZKZtzaWVQfS2frsaPYmFRv1/6hib3IxofM3c+Dlcfg4WjEuwo2zb06m79uGR3JfXxfHtvOFfHhLX60WrYlMysOjg5gU6c7Lf53jaEYZ726IZ8O5fN6/uQ8hbpdnOaKrKaisZ+m2ZP48lYsgKDsF948M4MlxIV3mAmkMKReqmfSR/iUyTWYP8CbIxdrg5EuQizXpJfq7XT2ZIFdrruvjRWZJLe9siFeHUrrYmHFDP2+crM1obJYTl1/FC3+c1Vl8mUgl+DtbMTHSnfuHB+Jhb8FT40OZM9iPO746QvKFGuasPMKGZ0biZmvB6DBXwtxtSL5Qw8G0EoJcdJsAmptIdcZLZBm59PNv8HawVE73AGFutlrRCJMjPfj7jHbR2t/PQcsvylCnujOsbRW0Dgl0vqon4f4b7jbdgK+TFX187FEIsEVHt2KCgehiTS2D5vKFilsGts9+UXkBSKUSnUY7urhUMypVC1HXHVlfXwd14fTD4SylJ4aHLZ/c3h+ZVEJlfTO3rTzMK60joY5Wpszq782r0yJYdU8MX98bw4o7BrDk5j48OiaIUaEuOFmb0SwX2JdczPtbk/hqfzpO1mbMHuDNiBBnFIJy6mTh5gQCnK15eFRgj0lnTC+uJXT+ZkLdbTg2f0Kn9x/5f7v5qzXDw95SOZL7fAeK9/0pJQxeuLNdSB0ohby/PDyUBbOisDE34XR2BdM/OcDne9JokV89fhFVDc0s2ZLI2Pf38MdJZeExI9qTnS+M4dVpvS5b4aFQCCzdlmR04fHZnQMoqmrkg226J95szU0Icr06Cw8POwvuHxFAsKsNn+xM4e+z+TTLBXp72TGjjyfDgl3486TSY+WTXansSiyiuLoRiQRsLUxwtzMnwNkKG3MTWhQCacW1fLk3nVFLdjFvbSwNzXJcbMz55eGhhLrZUFTdyHKNLu/oUOXS2r7kYnydLHUeoy5Rvq2Byb5/S5CGNf/k3u7sbF1yMZFJ1EWZnYUJQ4KceG1dnNa+QwIv2i08MyG0S3RaCoXAHyeVQvZbB7W/jlxNiJ0PA0yP9uRcbiWbYgu4S4fu4431usfpVu5LZ+mt/QCwMJVhbSbT8v7/Q0+gVFVDM3YWprw8NYJX13QsdjydXaEeC9aFPguB3HLlHL2uZaOoVqOm+iY5Px7OBODp8aFYmMooq23i7q+Pcj6/CntLU54eH8IdQ/ywMjOhuLqRQ2klHE4rpaSmicYWOU0tClxszZkzyBe5QiC3op7csjrO5lZyMquck1nlOFiZMjzYmbLaJhILq9kYW4BEovzZm5tI+ftMPi09wAthzPt7eP/mPqQtnM5Tq0/pXT7TxQt/nOXbQxn8+dhwLExlPDMhlFn9vRm1ZLfB/R776RSzB3jz1vW9tS7GUqmEO4f4My7cjXlrY9mTVMz/bUlkS1wBS27uS7iOMe+eQlOLgtVHs/hkV6q6+B0c4MSr0yPo34lk567gQlUDQxYa51Ia5GLNC5PDmfvrafVFpy3eDpZU1TcbNPfriViaypga5UFVfTPfHswElALO/r4OWJubcD6/Sqsb6WxtxpgwV3wcLbGzNCXI1Rp7SzMsTWUEuFhhaSqjsKqBM9kVfHswk2OZZaw+mk1qUQ2r7o3B2cact2/ozR1fHeWXY9k8PCoIXycrRoe5supABvtTSrihn7fOY9Wlmevr68CJrI6FwZeC5rlnRLALPx9Rav2aNQr9Cb3cqdKxJKTZWb55QNcUCkfSS8kpq8fW3ISpvQ0vu/d0xOLDADOiPVm8OZEj6e2XXnwcrYjxd9RpmbzmVB4f3tJXXem+ObM3L/11rt12bdmZcIFZ/X2Y0cfTqOJjT1Ixdw/111t8VOhZa9YcG2uLyqdkw7l8yuua8XWyZGqUUtT08l/nOJ9fhYuNGT8+OIRennbkltfx/G9nddrR68LJ2ozBAU6U1DZSUt1IRV0zh9JKkUiUaniA1KIaNp4rwNpMxqz+3uS3GhNdaf735zn+OJHLr48MZUfCBR758aTR+8blVRHx+hZ2PD+GEDcbfJ2sSFs4nTkrDxsU3K45lcfWuEK+uW8QQ9oY13k5WPLtfYP482Qu72yI52xuJTM/PcAzE0J4dExwt1uMdwZBENgUW8iSrYnqpbpgV2temdaLib3cLvv0zppTuTz/+1mjtn37+t7qDBldSCTKKQh9Y+89maFBTliZmbD+TJ76ZsXFxhxbCxPO5FSoH3O0MsXV1hwbcxOa5QLb4i+0E52CctlsgL8D4yPcuHtoANOiPdmXXMyTP5/iWEYZd686yl+PD2d4sAsjQpw5mFrK1wcyeOv63gxozW8pqGzQ2/nSZcrm5WBBQ2r3dP1UkzxSCdQ3y2mSK3C3Myen7KIR2uRIdzac0+5Sjgxx0Zpy6Spx+O8nlF2Pmf28OmXN0BPpOWenHoivkxXR3sqlF10GYTfrWD5Rkawx2z0lqr0i+Z5h/u0eW7gpETA+8fCbgxkGpwB2JekfTQN0WkSrguNOtxY0M6KVY3HHM8vYHn8BmVSiLjx+P5HDxKV72XK+EIlEme3w6OggFs2OZumtfVlycx9emBTGbTG+jAhxxtpM2T05lllGenEt9c1yrM1kyKQSBEFZdKQV1+DtYImNuQm1TXL+OJlLZkkdM/t6ddtSjK2F8TX4scwyguZtYlCAE8fmdX4ZZuLSvXzXGi4mk0r447HhrH5oiMF9apvk3LbyCIs2J9DYov1/JpFIuCXGl+3PjWFChBtNcgUfbEtm1mcHSSjoGdqZYxllzPrsEE+uPkVWaR0uNuYsmBXF1mdHMynS/bIWHlUNzUz5aJ9W4WFiQLD744ODDXp32FuaXpWFh6+TJePCXYnPr2JXYhEKQXlj4GRtRklNIxklterCw1QmoaaxheQLNZzKriA2r5KaxhYkEqW9eqibDb5OljhamdIkV3AkvYyFmxKZuHQvO+IvMDrMlV8fHYq9pSlncyv5+aiye3D30ABA6VwLYG0mw1Sm/L8orTV+eqWtC3V3MHuAjzql2sxEqj53mplIGR3m2s4YTTPZ/K2ZkV1yDJX1zeqO620xvl3ymlcSsfPRAdOjPYnNUy693DlEu2CY3seTV/R0KL4+kM6Sm/sC6Ew/bRtEB8pxsdrGFqzNTRgc4GSUx4AhwVFHyzJ1Te2LD5VToOrCpUqLXLJFWRjdNsiXXp52bDtfyMt/nUMQYHCgE+/eEEWgizVrT+eyK7GI8/lV6uUdUN4R+TlbUd8kp7S2kYZmBc1ygWa59jEIAmp7ZVOZBEXrv/Mq6onxdyTCw1Y9EdFV6GrldkT/d7fz6yNDSV0wjcd/PqUefTOGt/6J5/vDWWyeOwoLUxnDQ1yMyof5cm86uxKK+PyuAe0Eph72Fqy6N4Z1Z/J46+944vKquH75AZ4cF8ITY0P0io+7k9SiGv5vS6L6Z2NlJuOR0UE8PCoI68sQBNaWw2ml3P7VEa3H2i6JqpjZ14tJke7c/fUxva8X5GJNdWPLVVV4qDoT+RUNapdjUBZg+qZyVMtMrrbmjGodw+/j44CPo6WWx4QgCGSW1rEvuZgv96aRV1HPQz+cYMnNfbg1xpcXp4Tz+ro4PtqRzA39vNQX6OQiZeicvaUpdhamlNY2cUFHqrg+mrpJ6+TnZKXufEzs5aY+17doLLuNCnGhqqG5XUfmQMrFc5S+JaTO8vfZfBpbFIS723aZePVKInY+OmBGtHJdTall0K7G7SxMubGf7vGptkZiz7RJMtTnoLmztbp+w8hqObGwql2CribBrtZ6n9OFRKJsbSYWKE+ovTztKKpq4HhmORIJzJ0QSlqxcl5fEOD2wb789shQEgurGPP+bl7+K5at5y9oFR6gPEGkFtWQV1FvdJBWs1xAEAT13dCJrHJOZZczIcINbwf93/PlYs7KI7y/LYmv7olh+R39O7VvRkktEa9vIaNVmGhnYUrGouk8pTHmrIuUohomLt3HT0eyENqIdiQSCbP6+7D9OWVHoVkusGxHCjesOMj5/Mtnb19U3cD8tbFMWbZP3S27ozVx9tmJYZe98GhqUfDsr6fbFR6AzsJj1T0xOFub8cwvp3W+nlQCw4KcSS+p7VZ/ia7G39mKXp62HEkva2cMpk9X5Whlyn3DA/jnqZEcmzeBpbf1Y/YAH0LcbNqZW0kkEgJdrLl3eAA7XhjDnUP8AJi3JpZDqSXcPsiXUDcbKuqa+ftsPi42SoGqIKA27lLZlRdWGv9zzegmca/mz8jCVEZFXTNWZjLK6y4WabqMxcaEuaqX481NpDh20UTKH61LLrfE+PwnTAbF4qMD/JytiPK207v0cpPBpZeLd0SqD6Imj4wOavfY262ZAaqOQ0esP5PP0+MNXLA6qdWUSiSU1jZS3yxHIoFAF2uOtnqB9PKww93Ogi/2pFHfLGdYkDPv3hDFyn3pzP31DAWVDbjZmvPi5DCW39GfhbOiuW94AOMj3Bjo74iDlWmnnQgVAloCv7omOTsTi7AykzE4sHNZOMZi1gmtxJd704l6cyuTIt3Z/9K4Tr/XuA/2qE8qKsOlHc+P7nC/19bF8fAPJyjVod9xs7Ng5d0D+XhOPxytTEkoqOKG5QdZui1JnVDcHdQ2trBsRzJj39/Dz0ezkSsEJkW6s/XZUSycFd1l7o6dIb24hrDXNrNOYwwy1E33GKeFqZR1T47gk10pekMGXWzMGB3mquVs2dMxM5ES7W1PVX2z0RlLgwOd+PzOARydN5G3ru9NtI99py54VmYmvHtDFNf39aJFIfDKmlgkEgk3tN6sqToDKnF0buuFXmWM2Jlll+NGdIj/DVN6u6uP11Qm1bp5mtDLnf9r7Qqr0AwVff+Wvl1yDAkFVZzLrcRUJmFW/67ppFxpxOLDCGZEKz8wm2Lbjz4OD3bBSo/wZ/Hmi7+UujI5duho1ZfWNtHQLEcikeBhxMl65b50pvTW73JXbEBcqovGFoW6YJFKlJHfRzOUJ9ohQU4UVTWw7oxyzvylqeGsOZXHotbv85HRQfz52HCKqht5/vezzFsby3eHMtmVWMTJrHIq6pp1TthcCilFNZzJrmBYkDPOXTzr3iRX4GVv/IWyprGF8Ne2IJVKSHx3aqf2BaWQ9Y6vjqgLgxA3WxLfnYqbrWGNy46EIgYv3KnTb0Z5ovdm23NjmBblQYtC4JNdqVy//ACxXRzy1yJXsPpoNmM/2MOyHSnUNcnp6+vAb48M5at7Yq6IB4kgCKzan874D/dqPS6RoJVlpOLJccF8PKc/sz47qDe1upenHd4OllpCwp6Ot4MlPg6WxOZV6s1i0mRiL3f+enwYvz86jGnRnv9quU4qlfB/N/XB0cqU7LI6tp0vZGTrOO3htFJa5AosW7snKu8O1dKPsUFxtuYmagv+rsRa45w+KdJDbWeuOeUyKMCR6oaWdl2jtacvdr0nd1Hom0poOrGX+2XLNepuxOLDCAwtvcikEu4fEaBzv7ZZBM+06VDo8wLYmaDc763rjVt60dU6VtFZ19C8ivp2zRJVWzPKy55NsQU0ywUG+DkQ5GrD4taq/5nxIdzQz4tZnx3kh8NZNLWuTc7q782oUBe1iLQraZIrOJxeiqO1Gb2MNGczlvxK49ecVYxYvIsj6aUcfGV8h8snbTmUVkrYa5vJb9W7WJjKODZ/Ih90cOckVwjc+80x3vknXm2br4mrrTmf3zWQFXcMwMnajMTCam787CDvb01sJ17tLIIgsD3+AlOW7WPe2liKqxvxd7ZixR0DWPfE8HbTOZeLiromRizexXsbL1qeh7dmwugqftc8MZzGZgWP/nhSb3E8JsyVvPK6HpvO3BapRJl6XdXQbJTnyMRebmx9djSr7o1hoH/XdRQtzWRqm4IfDmcR7W2PpamM6sYWssvq1Am4jS0KFAqB0tbiw9jwya7+3KvQPKfaWyqLJ1OZRKtzOC3Kkz9PaodH3jnETz1s4G5n3iW5K40tcta1Govd+h8QmqoQiw8j8HO2oq+vAwoB/tTh0XGTgRluzaWX2Tq2m9irfWU8f51S2DQmzDjr3L/P5OvVQFQ1tBjtmgroDIlS2bHbWpgQ22o1PCrUlVX70ymrbSLEzYbpfTyZs/IIpbVNalOyaB9lsbI/pYS8inqdo3ldQWpRDdmltcT4O14RYaUm9317nMVbEnlxSji/PjK00/sPX7xLS7x680AfjhoxVfPNwQyu+/QASXrEjzP6eLL9udHM6OOJXCGwYnca131ygDOXaGl/JqeC21Ye4eEfTpBWXIujlSlvzoxk+3NjmNHH84qtSR9KLaHfO9u1isdRoS46QwyDXKzZ/txo3t0Qrzeg0cbchBnRnuxNLr5qguHsLEwIcLYmsbC6QzF1Xx97fn1kKKvuHdRt/jAqwaXqd00lkq9qDbcEaGyWU1F/UbhpyA5Ak+7+vA8PdlYvtztamam7HCZSCTf292bF7jSt7X2dLo7UdnTjYCw7E4oor2vG3c6cUTpMK69WxOLDSO4crNRsrD6ajaJNmy3I1YYob90X+Js+P6T+e4BLe/Hnbh3jsBV1zTS2yLE0kxn14fq/LYnMm95L7/OenVgGyCmrU2eFyBUCzXIFdU3KE5iNuYlauNjby07t/Pr0+BDe+See6oYWBvg58NT4EOatieXPk7k0tihwszXH3a57W4W1TXJOZJUT6mbT6WUPYzBmCUzFl3vTGbF4FzH+jhyfP7HT7/XwDyd4/vcz6hOxu50FaQunMzzYcCchtaiGKcv28d3BjHZiVABnG3NW3DGAL+4agIuNGSlFNcz+7CCLNifo7JroIqu0lidXn+LGFQc5llGGuYmUx8cGs/elcdw/IvCKFX/NcgXP/36GO1YdVT+mmjLbn9J+Ouq1Gb14/bpIZi4/wGkdCaqgtBkfFODIRh3LrT0VT3sLpFJJh90OFxtzlt3Wj7VPjNDSKHQHgS7WWJrKqG+Wk1FSoxaVVtY3q0dWTWRSdcFhb2lqtFFb24iIrkBzyWVEiAsbWz08NEfyp0Z56JzI+aDVqRqUpmRdwW/Hld2Vmwf6XLaco8vBf+c76Wau6+uJrYUJ2WV1Okc9247hqqhuaNEaw/roNu1qWJdpDsCu1qWXT+YYN0VhaPSqM1kp2aV1OFubqYVf+RX16pFcCzOZ2iDK1sKUlKIaVBYJh9JKMTORcu/wAF784yw1jS308bFn9gBvLM1kXKi6PFMB5/OrEFC2nLuSwqoGvQWmLvIq6gmZvxkzmZSUBdMYrCPh2BBrTuURPG8Tla3r2TKphNUPD+Wb+2I63Petf+J5+IcTekcnp0Z5sv25MdzQzwuFoCyWZnyyn5M6DPNUlNQ08ub6OCYu3cvGc0oX2psH+rD7xbG8PDXisuawtCWjRGmBv+ZUnvqxGX089bbuNz4zkuqGFu7/7rjeyavRYa5Ymsq0xlF7MmYyKUEu1hS3GvfpQyJRegztfGEMN/b3RnoZQgllUgkRnsrPY1JhjfoiXlXfTEFrh8rT3kLj3GKiHrfvCFVURFeiueQilUiob5ZrHR/AnEF+LN+tHQB691B/dWdkVKhLl/xs8yvq2Zei/B28ZeB/Z8kFxOLDaKzMTNTLKz8fzWr3vKGE2TWnLi7VTItqv52uqY2X/lQ6ok40kCGjyR4DhmKFnZiZTyuuQSKR4NfaPswqrVNrNao02qLxrT4gkV526jvL22J8+XhnCg3NCoYGOeFhZ8GaU3lkldYZNHLqagoqG8goqW3Nqem6143Lq1L/XIyl7zvbSC2q4ffHhjFvekSn37PvO9u0zMLGR7gb1U3ZkVDEuA/2qA2c2uJobcbHc/qz8u6BuNqak1Zcy81fHGLBRm3tSE1jCx9tT2b0kt18fziLZrnA6DBXNj0zig9u6YvXFR55/uVYNuM+2KP12ORId/Xdqia9PO04+Mp43t+axMc7U3S+nplMyp1D/DiVVd5jAg47wtbCBFdbc9JLag1GEfTytGPdEyN454Yond5D3YmqOG1olqt/v6zMZOrUV097S3VQm7mR3bMQPVNLXcX1fb3YFq/s7lqaydQ/W28HS4YFO7f7HdM8z75xXdcYi61pDVwcHOiks3N+NSMWH53gjtZx2R0JRVpRyaD8cN2gx/Pjf39etFa3MJW103loxtqrqG5soa6pBROZVO9ooCavrz/frquiiTGvAcpJgPLaJvVFNrusTj0iWVTdiLy1na+6q/Sws1QbpjW2yEkvrsXByhQ3Wwu2xV/AVCYh2tseE9nl1QA0tig4m1NBuLstrh1MjXQGXZqYjpj28X7WnMrlkdHB/HYJOpBpH+/n12PZ6n+72pqTtnA648L1u9uC8v/o9q+OsHR7st7Qucm9Pdj+3GhmD/BGEOCr/RlM+3g/R9JL+fZgBmOW7ObjncoJlj4+9qx+aAg/PDC424R+xlLb2MINyw9oxRCoukvbdEyRvTajF+/f3Idbvzisd1rF3c6c+0YE8PPR7G7TJ3U1LjbmSCUSg50CqUS5NLr+yRH09XW4fAfX5hgAFIJAaWu3wtnG/GLnw8FCPWWkLzunLfUGhPZdwUB/R05nVyCTSmjU6JDNGeSr9iXRRFOrFer+7zuvCoWg9ov6LziatkUsPjpBmLstgwOckCsE9TqcJobs1nPLL160XphsONVUxS/HlO/x0W39jNp+VKj+i1Gpnha8Lk5klauzCLLL6tQjn8XVjShaiw9VkFKzXEFRdSNSycXAunB3W/4+q/RV6OvjQGxepdHGYl1NYmE1lqYyArvhrqEz3Zznfz/Lm+vjGBLkzOFXx3f6vV5ZE8tD359QFxEyqYRv7x9s1DLMJztTuP2rI+pJmrY4WJmx9NZ+fHNfDK625mSU1DJn5RHe/iee0tomAl2sWXHHANY/OYLhIVde8BaXV0nvN7dqTZ48NDJQryPw5rmjcLAy47pPD+i9SPf3U+aRrNyX3i3H3B34OCqD7AxNhgS5WPPX48N5YXL4FRVjq0ZnFYKg1nZIQF3kedhZqDsfxk66GLs0cyl4O1iqbzQ87Cy03uvmGB+eXq1tQDel98Ubyo5Sq43laIbSDM7G3IRp0frtFK5WOvXb+Pnnn9OnTx/s7Oyws7Nj2LBhbN68Wf28IAi89dZbeHl5YWlpydixYzl/Xnfy69XKnUOV3Y9fj2e3u5scHuyi1+5c0y1R112jrmmVd1vzAlRhbx2xK7FI7zKDvvV/XRzLKCW01ZvhXG6FWixaWNmAs7Xy76oIa5VgzMHKjLg85cVA9UF1tzPXGbx3uckuq6OyvrlTmg1jaFEI9PdzMHr77w9nMXHpXtxtLUh4Z2qn/Ul2JFwgZP5mLWOx8RHuHJvf8TTM8cxyRv7fLrbpCQAUBAGJRKLTYO3T2/tf0QkWFYIgsGJ3Ktd9ekD9mJmJlNsH++qcVgl2teb065P4+WgWL/6hP0Tu+r5e2Fuaqov9no6FqZRgV2tyy+sNWovfMcSPjc+MuuxpwbpQuYIKwkVPD9XFPdjVmrLaJrUPSVVD1/t2dJZbYnzU462a3h7jI9ywMjNpt5StabE/Z1DXdClU5oMz+3piZfbfS0LpVPHh4+PD4sWLOXHiBCdOnGD8+PHccMMN6gJjyZIlLF26lOXLl3P8+HE8PDyYNGkS1dVXT/ZBR0yN8sDJ2oyCyoZ2YjSZVMLtg3X/4p3KrtD6JW67Jqivildd0MdHdKz9eOnPc3xsQKDqaGXcOu+xjDK1DuV0doV6CSa+4KKVu2qET+UBUtPYoh5FVN1hXy6RqTGU1TaRfKGmU8WCMZzOrlD7wBhDalENQfM2AXDitYncGtP5qO2B7+3Q8m9xs1VOw4wIMTy1oBDgkR9P8ub6OC1dx6nscuasPML93x4nr6IeWwsTor3t1WOQsz87xJd70/SKoy8HFXVNjFqym/c1pgluH+yLjbmJzqLhf1PC+fHBIdz/3XF+OpLd7nlQZgc9OiaI2LzKq8Y4zNbCBGdrpUZHHzbmJnx6u9JhuKckn+a0dkVVnQ4vewv1pMoAP0etZQxjjAi7cilVF07WZpTWNmFlJtPqGt82yJcv9mqP1/bzdVCLUd1szbvEybeqoZlNcUpNyS3/wSUX6GTxMXPmTKZPn05YWBhhYWEsWLAAGxsbjhw5giAILFu2jPnz5zN79myioqL4/vvvqaurY/Xq1d11/JcdcxMZt7Qur6zWITzV5eWhYr2GxfOtOqpjXWJGVVri/93Ux6jj6+fjoPc5SyMNb+Lyq/Cwt8DZ2ozGFoX6jjcur1I9cqpShFe03tFomu9cwWuUQZpaFJzOrmCgvyN2nUiy7YiNsQWdLiJ6vbGF4ppGltzcl6W3dt4P4IYVB7WEzzKphJ8fGsoXdw3ocN/vD2cx67NDbDtfyKM/nmD2Z4c4mlGGmYmUR0YHse9/4/jn6ZHse2mcOil30eZE5qw8rO54XU5OZJbR753tWnlBb86M5JdjOTo7en89PoxBAU5c96m2j4nmKpmLjTnPjA/ly73p3ZYN0tU4W5thIjWs74j0tOOfp0cys69u/dmVoKFZrs7AUXVAon3sOZVVAcAAf0e1saKxdGemzsRe7uoEWxOpRF10u9iYMy7cjc/3aBcf3hrZWi9P7byoXBf/nM2noVlBqJsN/a+QTqe7ueRFQLlczq+//kptbS3Dhg0jIyODwsJCJk+erN7G3NycMWPGcOjQIb2v09jYSFVVldZXT+f2Vs+PPcnF5LQRIAa72jBAz921ZuvXxtyEoDahb7rEjMcyyqhpbDG60v9we5LebBJjXTvlCoH9ycXq7kdxdSN2FiY0tiiobfX8qGw9iRgrDutJnMwqJ8DFuku9R34/kWvQbE4XgxfsJD6/itkDfNjw9MhOv+f8tXE8tfqUlu/M1ChPDrzcccZMQkEVj/x4kq3nLyCVwC2tY7PzpvdSB2G52SqTcpfc1AdrMxnHM8uZ9vF+Vh/N1ukj0tUoFAKLNydy8xeH1Y+525nz3MQw3v4nvt32lqYyTrw2kaTCGm798rBWYWJhKlUXxX197Ll3mD8fbk/u9u+hq/BzsqKxRWHQIv2mAT6seWJ4t+ib/g2qroCNuQnZZcrCKdLTnrOtGo9ob3udfkdXinERrurIAs3poZsH+ujM9NGcepneiS6oIVRC01tjfK/4cmd30eniIzY2FhsbG8zNzXnsscdYu3YtkZGRFBYq15Ld3bUnOdzd3dXP6WLRokXY29urv3x9e36LKcDFmpEhLgiCUvvRlpsNzGOnF1/MlTDWAU/VYVk0O7rDbdefyeezO/Xf/RorktwYW6AuPo5mlKlV8qprjjE5ET2Zc7mV2FmY4u/cudFZQ/x1KpdpUZ0Thk3/ZD9bzxcS5W3foZOprmWzDecK6PP2Nq3pDB9HK6OyYVQMCnDivVlROnVHEomEWwf5suXZ0QwOdKKuSc68tbHc/91xijoxwt1ZymqbGLJop1aL++FRgfg6WvHRjvZFw60xPpx+YxIf70hh3tpYredszU3UgufZ/b0ZFOB0VRUeER62FFc36p3AkUklvHFdJB/c0qdL7Ly7GpV/TJS3nXoZWSEI1DXJsbVQZrN05MSqiYtN12Y5taWkugmFoNQT1WlM1Nw2yJenVp/S2lbzhuP+EQFdssyVVFjN2ZwKTKQSZg34b4TI6aLTxUd4eDhnzpzhyJEjPP7449x7773Ex1+8C2lbpamEbPp49dVXqaysVH/l5Fwdoi9VSu1vx3PbJYUa8vzQHA3U1U4bqWOaYOGmRARBMDhNo0mLQr8IzZAPgCa7EosY0CpUO5Jeqs7GUOWB1BvpiNmTSSmqQa4Q1N9bV7A5rpBBAZ0T+D3640m+OZCBu50FcW9P0btdeV2zTm+DmsYWot7cqtWFU2XDvDQ1vMP3P5pRxk2fHyK7VP8Ysa+TFb8+PJTXZvTCzETKnqRiJi/bx4Zz+Xr3uVROZpUz4N3tWq3192/uw1f7M3QKmD+7cwCvTOvFfd8e48cjF5eiLE1l2FuaUt160Z47IZRGuUKvlXpPJNLTjpSiGr2fN3tLU76/fzAPjAzssXfIqtRZbwcrMkpqkUpQu4OOC3drl4HVEd1hLKbiqXEhrGkNhtMcKBga5ISJVNKuSDqoYTj58Kj2KeWXgipEbkIvN1z+IyFyuuh08WFmZkZISAgxMTEsWrSIvn378vHHH+Phobzja9vlKCoqatcN0cTc3Fw9PaP6uhqYGOmOq605JTWNWvPdoDwhXK9nzfVoRpla7CeRSHhktPYvrC73VICzuZWYypTR2B3x2E+nmGog6dYY6prkFFTWE+RqTVOLQh02dz6/qlN27T2d3PJ6KuqbdBq9XSrHM8v1Zu3o450N8by5Pg4bcxNSF0zTK4xNLarB10n3a49aspujGm3hFrkCJyvj7hLj8qoY/+EetWW+LqRSCQ+NCmLj0yOJ8rajoq6Zp1af5ulfTqu1P/8GQRD4dGeKViSBj6Ml79/cR8srR5PdL44l0MWa65cf4Ej6xVFbZ2szTGUSKuubsTCVsnBWNHuTi3Waj/VETGUSwt1tiS+o0iv0DXC2Yv2TIxjZw/M+VD5G1a1TLAP9HTnS+ns6pbcH2xP0/85dbvydrdTLRJo/9jmD/Pi8jdB0cqS7euqll6ddlxjuNbUoWPsfDJHTxb8e/BYEgcbGRgIDA/Hw8GD79u3q55qamti7dy/Dhw//t2/T4zCVSdUjVbocT+8dHqB3X9UIF8ATY4PbPT80qP2FUDWqu+Rm44Snj+t43c6yMbZQPcmRVVqHu505dU1yo7snVwsXqhpJL67p0tCmvIp6pBLU00HG8P3hLO7++igyqYQ1jw/Xm5acU6ZfcHjbyiN8fyiTLXEFTFm2j1daO23GJAq3KAQe++kk726Ib9fN0yTU3Za1T4zgmQmhyKQS/jmbz+SP9hl02e2IqoZmpizbp7Uc8syEUGb08dRZeIS52xD/zhSSCqu4YflBLTGqn5MVDc1yqhpacLcz5/9u6sMnO1MuOUTvcmNtJiPcw1ZnGJ6K/n4O/PX48B7veplTVkdeRT0yqUQtNvV1tCKztA4zEylO1mYGf58vJ6NCXXQ6AttZmDAu3I3VR3VPTQG8e0PvLjmGXYkXKKttwtXWnDFhhk0Er3Y6VXzMmzeP/fv3k5mZSWxsLPPnz2fPnj3ceeedSCQSnn32WRYuXMjatWuJi4vjvvvuw8rKijvuuKO7jv+KMmewH1KJMtckTUPLAcrqXt/d6ysaSy8OVmbtvEE07+BUZJfVUdXQbLSzZNtxsEthZ8IF9YjvvpRihrUGUOlzy7yaKalp4lxuZYeuoZ1BISg7K505iexPKWHM+3sQBHhzZm+ji01N3vz7PI/9dEqdNvv6dZGcfH0i6QunM9aI7+/rAxnc+uVhvaZkoCy+n58UxprHhxPkak1RdeP/s3fe8U3Ufxh/Lns03Xu3dNPSQWlZLXsjU6ZMQUAUBFEcOECmW1AERYYiIAgKyt6rjEILZZQWuvfeK/v3R5JrrpmFlPGz79fLlyW5XC/J9e7z/YznwYztN7Ds77uob6U66P2CanRafpK0IgeAbTMi8W9SAX66oCn6Na9XBxx/KxZbLmZi3u+JFK2LQCdzFFU3oV4kRbCLOT4YEoi3/rjdKouBZ4k5hwE/RwHu5etuvB8Q5IDds7vC5gVIyR9TjosGO5sjKVepYKryP/GxbZOy3eMyONiRHG9VZ3S4Cymzro66km5nD9NoqajEK8dG/H+ZyGmjVe+uuLgYU6dOhb+/P/r164fr16/j+PHjGDBgAABg6dKlWLRoEebPn4/IyEjk5+fj5MmTEAjaxqr5WeNiyUUff8XNeY+WqHh2T901QHW/jo2TDY9HAiBHvNZPDDO47bF7Rfjt1Sij9quLBpEU6aX1ZOlFpVIokcp1TtS8yFQ3ihGfWaEhf/+kXHhYimndtBsPaiOnogHeHx6FSCLD+Eg3/GFAkl2gZ2z45OJemNXTC2wGHTQagR0zo4xqdL6dW4WhGy7hio4yoIpQN0scXRhDZml2Xc/B0A2XcFOH2mhLfr+WjWEbmkXDOEwadr8WjVd33NQ6Art1eiQWD/DFkj+TKI2nLAYNoa4WeFBYA5FUhsEdHTGtmycW7b1t1HE8D1hwmfCw4et02QUUk3abp3R+bvQ7DHHkruKmzWczIJLK4GbNRYry2hfrZ4d/bj8fwYcZm4HiGqFWJeYJXdyx9AA1+za1a/Pf87oxISbptymqbiKnbB5H/+dFo1V3kK1btyIrKwtCoRAlJSU4ffo0GXgAih6G5cuXo7CwEE1NTbhw4QKCg4NNftDPEyrF0/2JeRq25IM6OugckZ26NZ78WVuZRdukwqbz6ZDL5Xipk3Ez/K1dgWrj92vZGK4svRRUN5INfPSnaBT3NKkXSXElvQxjwk3bZf7b1Wws7t862WW/j46hQSRBV28bnFwcq3M7fZMCXVafpiiiAoqRwWNvxRj8/VUNYkz+5Tp+vpiud7SWw6Tj05c6YvfsaDgr3T/H/3QVX59MpQjrqdMklmLWjhv46OA98rEJkW74elwYJm+5rvU1p9/uhQh3K0z9JZ6siwMK/YUARwEptz6vVwdEe1uT5owvAtZ8FlytuLibX61zm9divLBmdPAL87eXV9mApNwqEETzOepkwcWjkjpSwK72OfHQGRPhQpZV1OOIUFcLCCVSDeEz9cZmU02kHEjMg0wOdPG0grdd25rmPQ/8/y1fnzK9/OzhYslFVYMYR+9SU3YMOg1zY7VnP8rqhGRwQBAEPhoWSHm+RIeIzrWMCtBoBKYbsZJ+fVciXovxMuZt6OR2bhUCncxBEIrfrSol/T9Mu+iiQSTFiftFpJicqfj29MNWixAFfXICtU1i+DkIjNLv0EbnVac1sgiBTuZI/HiAjldQWXM0BW/uvmXQbK27jy2OL47F2AhXyOTA92fTMG6zpjBZQVUjAj4+jjNqUw7fTwqHtRkLb7QYZQQUGcakTweCTiMwZtMVioeLly0fdgI27uRVg0YAq0YFg0EjKDogzKdsatha7AVseNvy9broLurviw+HBj63Ey3aUF0PPW34uF+gCKpUzbPDOzmTJZnnAQsuE2V1QvBYdEqg8VqsN9YeTaFsO0Otn29MuAvYjCfPQsnlclJO/f9V0bQl7cHHE6Iuqb5LS+llgh6df3Wp6FeiNYMJbRMTk7ZcAwC8PyRQ4zltDDcyS6KPCw9Lyb6FpyGx/e4gfyR81B8pKwfj1OJYfDayI7lSelrUi6Q4fq/I6PFmY/n8eIpGoGmIkOUnUd0ohqsVD5eW6g9AdAWlfb46r1EKseaz8Gj1EIS6Gp6gOnK3EKM3xmn0NrXEnMPE1+ND8cPkcAg4DEX5Zv0lHEjIg1wux9X0cnRfd5bymn/f7IntcZkaypGAQkL94tI+SCmswegf4yhBVKibJeg0Ag8Ka8Bh0vDjK51xN68aP5xLI7ex5DGfayE8WzM2/B0Fej2Q3h8SgEX9/V6owEMul+MPpey9WCqDTK4wnFQFIT18bLT2tj0LRoY544gyUDLnNGvpuFvzEOVprWFYeEutcfn9oaZRNI1LK0dWeQP4LHqr7BpeZNqDDxMwPtINDBqBhOxKSi8HAAg4TJ3Zhx1Xssh0NpdF15hu0CWjnF5aBy7LOKfWkRvjWj322ZJDtwswKkyRWryTV21SXYyW9Pa3wxt9fGBjxgaHSYevgwDTunkiZeUQ7J3TFRZc4/xpTEGtUIKT94tMXn9ddeQBVo1qXTkydMVJfHvqIUZtjNO73a9XszXGt1W8vPkqDt3OpzzGpNNw6M2eeH+I4Yvoo5I6vPT9ZZzQYU6nzvBOzgphMk9r1IukWPJnErw+OEoGz4DCE+PU4li89MNlJGrpc/h6XCjWjumEf5LyMWnLNVSpCdv19rdDeZ0QaSV1sOIxsW1GF+xPyMPem806QfYCNuU1zxtWPCaCnM1x6ZHuvpp3B/ljXq8nn1x72lxJL0dGWT34LDo5OcVi0NAklsHfQX9D7dPG194MGaX14DBp5DgwoMh6bLlEbXjuF2BP+irxWXTYC0wjO6D6PS93dgXfiMm0/wfagw8TYG/OwUClpbK2cSx9Y7fqHdML+/pqPK+tvquyc/59drRRx2esL4wuGsVSlNeL4GLJRXWjGGYm9EVpSageb5pobxskfToQW6YZtpE3FTVNEpxLLaU0mJmCjw7ew5etnGRZf+YRyutF8LTh4dsJoTrl4X++mKHzhvXWH7ex4cwjjcfn9eqAfXO7GTyGBpEUc3cm4OuTqRRZd224WHKxZ05XrePki/r74uPhgRjw7UWtrz3wejeMiXDB+tOPsHhvEkVzYVSYM+7kVSOvshFu1lxsnxmFb089xOkHzX9LzhYcnaXL5wEBh4FIT2tcfKjb0G5hP1+80cfnKR6V6dh5VdET4aj8HrhMOqoaFaO2Q0IcsSde99jq06S3f7OUuhmbQXpWmbEZGB3ugi2XqIJ0NmrqqjuNvP4aIrWoFhceloJGAK/2fLIy+YtEe/BhIlRlk79v5Ws0erpa8XSqns7dmUD+bMVnoV8L91ptZY7kwhoUVDUandH46OBdwxsZYMeVTLKEVNkggqCNonNjEuQDghxwZ/lAcvS3rSmtFeJyWpnJrLJVfPZvMr6bENbq1+1+rStGh7viyvv9EOyiffR684V0rTd9APjm1EMs3Z+k0UQa5WWNi+8a11fy/dk0zP09wWAfSEFVI37UUk45dLsAYzdd1fIK4NLSPghzs8Kyg/eoEy10GqZ0dceJ+wothBAXC2yd3gXL/r6LG1nNZQtXK67RPkbPAh6LjiHBjhrihOrM7eWNxf01FyMvAoXVjTilDARV8uT25mzkVjSCx6KjQSSlyJY/S6K9bHAjqxJ0GoFGtWOaE+uNMw+o3w+DRpCeKwBIBegnRZX1GBzsCA+b51u3xZS0Bx8mopu3Dbxs+agTSiid+Cr0Se+q20mvMFKs5mPllMBf8w0LuGWVN2DzlM5G7VcXuRWN4DLpYDNoyCith4et6TxR1DHWNdWcw8SeOV2xspXli9ZCEIrsU2ZZPZILa/RK57eWWqEE6888wudjDXv2qNN93VmU1DSBTiPwzxs9Ea1DnfXH8+k6MyD7buZh+vYbGsGtuw0PSZ8O1PqalpxKLsbYH69omCuqiM+sQMwX5yiPhSktBbSN0aoaS+0EbLyxK5GSRRRwGJjS1QP7buShUSxFrJ8dvp8Ujjd2JVIaNT1seBTBsecNBo3AhC5u2J+Qp3Ob8ZGueH9wwAvV46HO9rgsSGVymHMYKKxuAo0AhCpvnQgX/JWo+70/TYJdzMkSCpdJJ7MegGKU9q0/blO2H6Tm27R6tGmuO8U1TWQp1FTy7C8K7cGHiaDRCDI1v+VShoYQV5ibJXnhbcmYH9XlpHlwNkK+/ExKCcrrhEZH379dzTJqO338cSOHXP3XC6VtovVxI7OiVY6pU7t64OAbPUx+HCrkcoUVO4NG4E5eNWoaxSYVIsssq8eBhHx82MrGtag1Z1BeJwSNRuCPOV1JMbiWbL6Qjld7eGnNVF18WIoh6y+Sfj0qLLhMPFo9BB2dDQvapRbXYsQPlzWUIffE52D8T82ZjWAXc9xY1l+n0uqQYEecf7c3AGDatngcV+srcTBnY1KUO3ZcyYRIKsOwECesHNkR07fH41FJcwOsr70ZKY39vDI52h174nOgq2LVN8Aea0abRjfiWVBeJyRLLjRlydhewEFRTROYdALWPFaberO0huGdnHFCKR6mLlQ3o7unVlE6dWl+U0mf77iSBbFUji6eVgg3USblRaE9+DAhE6PcYMVjIru8geyeVmdeL92RbVpJs5Ty1hldjPp9q488AAD8MDnc4LZX0sufOPuRXloPN2seWHQaMsvqWyUdbiwF1U24ntm6LvgwN0ujywWPg1gqB4dJB5NO4NKjMjhacBFpIkVDAIjPqsCaFuN8xtB51WlUN4hBEAS2To/UmZXZFpeJkeHOWj15HhbXIXLVaY3yCZNOw+EFPXU2r6pT2SDGpC3X8Pu1bEikMrx/4A7FQPG1GC9snxGFQd9d1Old5G7DQ3FNEyb8dJX0AgEAbzs+Roa54OeLGZDJFVmBdwb5Y/KW65RAI8rTmhKIPI9MjnbHkTuFWoWsAMV5/MPk8Bda2XLr5Uw0iqWw4bNIbQ+VHcOoMBf8+5x466iu03K5YhRb3U5gVk8vjPyB2titHtzP6O4Jpgm+ozqhBLuUeiH/tawH0B58mBQei4GZPRQNQypBMHUGBDnqtDnv/01z452xEup/3cpHbZPY6NGs0w9015iNZX9CHsYqx0+FEhnaYoGmz0NBF+42PFx5v6/pD0ZJnVBCOkzuic9BnwB7nQZvT5PQz06iTigBQRD4YVK4Tm2S368pjtlXiytubZPCFbelGBlBEPhwaCC+n2Q4uAUUTbQ+y47hjxvNEyc/TA7H5GgPdFl9GhX1mitelT36Txcy0PPzc0gpag7Cw9ws0dvPHj9fVNTEZ/X0wpxYb0z46SplEqyPv53GOOTzxuhwF9zOqUJ5vQhsBk3j78bFkotfpkeCx3pxJx2qGkT4TZn1YNJpkMrksOQp9DMIQpHV1VZuexbMjvEmyz/qXlUjw5whksoomRAAFOfdhf1M04uz70Yuapok8LLlm1xV+UWgPfgwMdO7eYLPoiOlqFbDKppOI/QavuVVNq/kdhnZSf31yYdaRcq0sT8hD5teMU7KXRcpRbXwdzADg0Ygv6oRzhamvwH/k1Sg11dEF86WXFz/sJ/Jj0dFYXUTPGwUvS7fnnqIOTHeJm+8/WVapFH+K+oEf3oCjSIpCILAl+NCMUWputuS3ddz0NXbRmf5r/Oq0yjRkm5+KdTZqN6ilhx8owecLDjo89V5rc/vm9sNNz8agAV9NSc6Yv3sEOJigW1ximmDRf19MaGLG8b/dI0yxTIwyAHnUnVPjDwP9PCxQYNIguTCGrCUgYf6uoTLpOPnaZ1fePv0rZczUSeUgM+io1QZyKre54BABxx4Tno9AEXALVRmO9S/izmx3pi+LZ6ybayaN1MPHxsNL67HQSKVYetlxbk9O8aLLFH9l2gPPkyMBY+JKcrej43n0jSyH/rU62Zuv0H+3L2D5iSHttHKHVey0CSWUlT39HFHj3yzsfyZkIeRYc2Swm0h9/zF8daXIQDAwZyjV4r8SSmsaoK7NQ8SmRzfnHqID4YGwpRvf/ZvN/HuIP9Wa7MEfnKclPdfNSqEFL5ryc5r2Yj2skYPH+2TQlFrzqCwWjPwi3C3wpklvTQe13WcAjYDCdmVOidaTi6ORZSXNRKyK7HjSpbG8xcflpIS1h8PD8LwTs6Y9PM1SvZkWCcnyqj684i7NQ+BjuY4cb8YdBoBjlLrQp1vJ4Sio7NhobfnmaLqJnJqQyqXQyqTw4zNQHWjGDQCcLLgIEdHY/LTZmE/X+y9oZldjfG1hRmbodGwnK+2KPxoWJBJjuHYvSLkVzXChs/C2Ij/fx8XbbQHH23ArJ5eYDFoSMyp0uhfMGMzdEquPyqpQ6lyVUcQhIYBWHGNdt2CH8+ng0Gn4ZPhhv8wNp1Px7cTDBuL6eN+QQ3clb0f+VWNcNBRSnoSDt4uoEwBtQY/B4HRmaPWIpLKUC+UwM2ai8oGMf5MyG21ZLohhm24bNBMThvhn50itTfWjA7BcB09ID9dzECkhzX6B2pvUu229iwlC6eig50Z4ltklnQJ4dUKJVh5OFnrc1fe7ws/BwGuppdj6tbrer1p3h7gh74B9pi05RrK1QKP0eEulAbA5xEei44Z3T2xVZm9cTTnoKbFe32zjw8GB7/4ipZfnkhFk1gGAZtBBlcSmeL/wzs54+g9w8J0Tws2g4ZKLeJzr/fqgMUtjAi7d7BBeqmiVGRrxjK6JK4PuVxOlhKndfMEh/limASamvbgow2wN+eQqpgb1aSeVegTHVu6P4n8ebQWczNtK80NZx5BIpUZnf24rcc101j+uJFD6n7Ui9pm8uXDv+5qmPUZSw8fW506F09Keb0IfBYDAg4Dt3KqUFwjxMiw1snYsxj6P6+YL84hflnrSkiNYile+uEy5HI5CILA95PCdU7mrD/zCNFeNhjUUXutuefn55CjZXLE3pyDu8uNG8VtiQ2fhaRPBsLZkotzqSWYsT2eovcwsYubxjn8zamH6PPVeTIoBxQS8trG2dsKK97jqep+MDQQP55Ph1wOdLDja2SUunpbY/GA1pkNPo/czasmSyps5Y1UpWbKYdJgyWNSvr9nyeyeXqRtvTohLhZwt+FpKO2qj98a4wZtDNczK3A3vxpsBg1TW+F2/f9Ge/DRRsyN7QA6TTEdcTePWupwtuRiRKj2m9W51FJUNyqicjqNwLuD/CnP61pp/no1GzQagRUjDOuE/Ho1u9XaEi0prG4Cj0WHJY+J6kYx+GzTR+8pRbXkRM/jsGSgP3htZD2eUlRLqrFui8tErK8dfLQ0c+pCJJEZHKnu9/UFxLWyifZ+QQ2W7FMEsIopmC7o4ql9Mmf10QfoF+CgMwMS++U5ZGlpEOQy6VqzKrrOaRVx7/eFBY+J4/cKMee3m2TNHVBMEHCYdLIEM7unF/havruF/Xzx69VsjcfbCgsuU+sq2RBzY71x9E4hyuqEcDTnoLJBTBmvtTVjYcPE8BfGoVYXcrkcq44oMlx2AjbKlL0eKv2YMRGuTzVQNISjjvLP3F7eWP4PNVMX5WlN6oDQCJD+Vk/KFmXWY1ykq0n6R15U2oOPNsLNmkdejH88r5n9mK3HbXb1keY/glla5Ha1NaatPJwMmUyOaUZG0v8kFRi1nT5+vZqFV6IVzY1tlf3YeS0bx7SMLRsDnUbg9NuafQqmIj6zAjG+tgCAFf/eN6rspU5BdRMEeqTqa5sk+OFsGo4s7Nmq/f51Kx8/XVCoiip0QLrpTBcvPXAHE7u468yQ9P7qPDLUzOTqhBKM3XwVh7WUPAydU9+eeohDt/Pxxu5bFLO3eb06gCBABh5rx4Rgdow3uFomP7RJw7cVDBpBLgRaQ4S7JdhMOq5mlIPHokPAYWhM+nwzPgz25qbxBXmWHLpdgOuZFaARQJ2ypMSkE5DK5LDiMSGWyPSW1Z4mYyNctZp/ulvzEO5upTENqD6RtH1mlEm0V9JKanEmpQQEAczq+d8br1WnPfhoQ1STLcfvF1F0PACgk6slonQoU+67mYcGkeIPlsOka0zIlNVpT2Huup4NgiCw0giV1Li0cqP0QfTRJJahrFbhNSKSyGDeRqZvS/5Mwq3H7P9wtuSabDSuJSKpDMU1TQh0MkdNkwTTWnTJG4OhC/Oe+BzklDe02s9m7bEU0gCOTiPwz5s9yLHWlsz+7Sbe6u9HBlIt6fv1BeRWNKC8TojYL86Rq0FAMbHykoGMh4qfLmbgrT9uU1RVF/T1gVQmw/a4LMVxjwnBkGBHTN16Xed5/rR4nPPZnMPA3F4d8KOy3BqpRX9kWjcPygTFi0plvQifKft6+CwGGsVSEETz6Oqgjo746znKejhZcLSO+r4W44VvTz2kPBbiYkHp14vV8bfRWn5ResUMDHIwyhj0/5n24KMN8XMQYECQA+RyYNP5DI3n39JzU/z+bHO2RNt4rraU9MeH7kMkkZHTNob44MCTe77svZlLdmtXNYjaxHW2QSTFjO03kFpUa3hjLbRV7wegEOlq6WTcWhwNrIBf35WIDnZ8rVkwfczdmYBkpfQ4k07DpaW6SzijNsZh1ahgrVNWgKIHpfMqqlbHqcWx8LU3I23SW8u8Xh3AotNI8641o0MwKswFr+64Qblhz34GZlv+DgKtuiSGWD06BF+fTIVEJqek7VV42vCMchB+EVh15AEq6kUw5zAoY6tyuUKr6GFxrVZvqmfB5Gh3si+FSW/OYNjwWejtb68hd2+lVg759VXTZD1KapvwV6IiGDNGvO//nfbgo41R3fgO3c7XmCDo3sFGpy/HpvPppOqeOYeJhS20EOp1GDNtOp8OgiCwfmKYwWOrFUqwY6Zxaqr6OP+wFL397SCRySGTy9tEeKy6UYypW68j7TFULDlMulG9MKbikFLfwliKapp0Zh1U9P36At4d5G8wUGnJ0A2XSPEwLouOxI8H6Ny215fnsWFSODobUG9lMWi49kE/WPNZGLz+IjJKtQtHhbhY6G3WZDNo+Fq54vxoWCDGRbpi/q4EStPflK7u+OVypo49tA0+9mZILW59oDuxixuSC2vwsLgONnwW5JBTyjYEoWhafJGFxFRcflSGA4l5IAhAwGFSRLkIAoj0sNJo3nyWWHCZKKxuAp9Fp5T83uzrg80XqMaHnjY8ituwqbIeO69mQySVIcLdEp09tF/3/0u0Bx9tTLi7Fbp3sIFEJicbjVQQBIElA/11vJLaK/J6b+Ostb89/RC1TWKKDoc+Zmy/oVN0ylgSsisR5GQOLpOO2iYJeG00OlZSK8SYH+NwJV27RLc+Xtah/GlKunorLihfnEhpdWf8pUdlOgNRFSN+uKxVa8MQnVedJgNZaz4Ll5bqlqKPXHUaW6dH6m2ePfN2L9BoioBI1/g3ANzNr9bbrLle2b+xsJ8vXu3hhfcO3KEIho0Mc0ZidpXO17cFfBYd6aXGB7iqhmYnCw5GhrmQvTa9/e0pTrsAMLGLOyI9X/ybTp1Qgg//VmRNnS24Gk3ww0KccOze8zMGPaunF/6IV/R6mKn1WLlYcjEk2EmjD8TPQUD+vGNmF5NkPRpEElK3pj3roaA9+HgKvNFHETj8cSNXY+Qsysta56r3u9OPyLQll0U3uqFR1bX9+yzjtC70lX+MZXtcFqms2SSRtVkXf02TBNO2xmPfTc1xOX3w2Yw2E/NRvdfOHlZgM2iISytHWZ0QM3t4tmo/1zMrwNYzgvuwuA4Hb+c/lo/NkPUXScE7N2seDi/Q3cQa9tkp7HlNt85IzBfnELX6jNZmzI+GBRqVdVNndLgL1h1PIVPSgMIl2orHQvITlrRaS2dPaxjra2jGZpCjwmvHhODz4ymQyYH+gQ64nqkw2lONVFvzWVg6SPdC40VixT/3kVPRAD6LjsoGamnKhs8Ck057bszjAMWkSmWDGAI2gxIsLx7gRwbAKnzszSjCdaaacNmfkIeqBjE8bHgYEORo+AX/AdqDj6dA9w42CHWzhFAiw/Y4zRSy3uyHmk6IsTPhBxLzUFzThJ5Gpgtn7riB6U84b94oliK/qhGBTuakumFbIZHJsXT/HSzZl4TaJuOnEQbq0LR4UpwtFaWQPfG5pIbLysPJmBPrbZRDsTrddPRcqFj29z3IIcd2I80HVaSX1mOdmmpssIsFfn01Suf2XVafbtX+AUXgMTvGGyPDXIzWnAGAPl+dJ0WXAIU77YgwZ63Kp21JjK8tJd2uDzaDBlV4PbGLG4qqm3A7twp8Fh325mzkVTaCy6STAd97g/0pfQQvKkfuFOLPhDzQCEUpo6FF+XdYJyfSIv55YEFfH+yJVyxU1CXMfe3N0DfAHnviqVkPf8fmrMe2GZEmyXpIZXKy0XR2T68XfrzaVLQHH08BgiDI3o+dV7NR0+KGGeZmiX46LNG/PvWQzH4w6TR8NyHMqN85+9ebAIB/3jTObj7ICPt0Qxy9W4QhwY4gCEWPhq7pClNxIDEP/b+5gH+TCjRk7LUR1UYp75pGCVwsuaioF6FBJIGPvRnK6kTYfD4dK0YGt2pf51NLDY5L9/ryPHr42GJMhHGlNRU/XcjAudRmv6FefnZGeQIZgyrwAIDUotrH1nawE7Dx/pAAiivu08DNmotLj4wv5zlZcFArlMCaz8K8Xh3wuTKwmxjlThqWWfNZEEvlCHAU4OXOprFgf5YUVjeS5RZvOzMUVFN9gLp6WyMurQzPSY8pOEwaahrFqBNKwGHSKJm6dwf5a1g4BDgKKKq5ffy1X5Nby8n7RcipaIAVj/l/cR6Yivbg4ykxINABvvZmqBVKsFOLSJK+7Ie60JYhIScVd/OrkVZSi06ulkZNoLx34C7Wjnky4TEA2HsjFxO7KMovtU0SvWUEU1BcI8SCPbcw4oc4nLhfpLe73vIxlSoNUd0oJhtM993Iw7xeikBz1/Uc+NibYWBQ6zIuv13NRri7pd5t3vrjFtaN6dTqY525/QbFPG52jLdOlVMVf87rpvd59cAjt6IBU7defyx9DAB4Jdods5SB89OCRgDdvY1vKvSw4ZHmdksH+eP3a9mobBDD30GA2iYxmsQyuFlzSXO19wYHvPCrXalMjrf3JqG6UQxXK65G+diCy4SDOYeUIn8eWNDXF3uUaqbqa5Nwd0t07WBDcV8GqAuwLdNMk/WQy+X4SZnVm9rVA9w2Ej18EWkPPp4SNBqB+X0UN6VtlzPR2CJdGeRsjiHB2muB2+IySZlxGo3AdiMnVAZ+exGAYiTSGEzhlZFf1YgmsRT+DgII27D3Q4WrFRc8Fh1386sxd2cCYr84h3XHUpCYUwlxC1tsU1xMdJFaVItOrhYQSWWIzyxH3wB7SGRyfHkiBctHdASH2bo/NTcrnt7nj90rQnJhzWP1f0StOQOJ2mfzw+QIvQFqtQGFT9WYZWmtEFO2Xqe4zgY5mePDodTRUi9bPl7TIbL33emnJyKmYnykG/Ya2UNEIxSaFg0iKULdLNHT1xa/KRsJX+nqTvatWHCZEElkiPKybrVL8fPIlydScTWjHBwmDTRCU3xtVJizSYQLTYWTBQe5FQ0QKa9B6mq6SwcFYEULNVNfezNKz5Eu1d/WkpBdidu5VWAxaJjazdMk+/x/oT34eIq81MkZrlZclNeLtLoqLhmo2+fhzd2J5M+9jWyCksmBq+nlsDfnGOU9cjmtrNViVtr4+1Y+hnVyAotOQ4NI2qbZj7zKRlhymRjeyQlWPCbyqxqx+UI6xvx4BZ2Wn8TIjXF4649bWP7PfSz641abHAODRqBWKCGzH/sT8jA+0hU0QlGKKqxuwmsxretw/yepAB8Y0IMYtTEODhZsbJwc0epjnvd78/nEpNMwVY82zOzf9GcivjyRip3XsjF9Wzyy1fxgPGx42DajC65nUM0VM8vqSW2PZ42HDQ9xrZieinC3woMiRRPsihEdseHMI4gkMkR7WeN2bhUkMjlCXS2QXqLIACzo69OmQe/T4NjdQnIctYOdGXIqGijj9P0C7HHxUZnRjbpPg1d7eOFPpXaHejY01s8OQc7mpOaHCic1z6yfpnY22Xem6mUaG+EKuzYw4HyRaQ8+niIMOg1zlSn5ny9mkOOPKnzsBVrN5ADg9IMSVCpFjwiCwF/zu2ts42GjuVqetOUa5HI5vnzZuNHP1367qTMD0xp+uZSBGcppD6lMDkEbNqAWVDfh8J1CDA52wrKhgRgW4gRLHhONYimScqtw6HYBdlzJwsHbbbMyUwVXCdlViPG1hUyu6N1QjfeuP/MIc3t1gE0rGw5/v56NHj76G1AX7rmFYZ2cEGlAm6Mlpx8Uk7L1v1zKwA9aDBBbw8cH71EmU6z5LPz2ahQ2X0jHmZQSsBk0DNPhsvsseTnCFbkV2v2SWqKSwpfLgaEhjrDgMklxqqndPHBIeX7ZCdhoFEvR0dkcPX1MoxHxrHhUXIt3/lR4BUW4WyJFKfTHUGY07QRsWHCZWpVDnxWhbpa4k1+ttQS7dJA/3tiVSHnMo4WuR2vLpLrIKK3DKaVkuz47jf8q7cHHU2ZcZ1fYmrFRUN2ktStc39jr2M1XyJ8j3DVvNtlaXEgBxUqcxaBhzWjjejpMoUVQ0yTBw+JaRHtZQyKTg0En2rz/Y098DlYffQChRIZlQwPx/aRwfDI8CEND2na0TSyTw5LHRFmdEK7Kcslft/IxMcoddBqBiw9LkVlaj0X9WzfSnFvRiO4d9N+8Ttwvxu3cKvwyvfUZq9d3JWLt0QdYpdZTFOJi0er9tITFoGHLtEhcTS8nJ1a+mxCGjZMjYK7Fy8YUwe7jMCnKjRQ5M4ZYXzvczK4EjQDeHuCHLZcyIJMDffztcCdPcbOL8rJGktJIcm6vDi901qO6UYy5OxNQL5Ii0MkceZWNkMoUIoJiqeL/wzs5PVcS6gAwOswZ/2opAQ3r5AQLLhOX06iZLnWvrO0m0vUAgK2XMyFXjl53sDPedPK/Qnvw8ZThMOlkFLzpQrpGdO5py8eESO0d0Rml9chVc2Q8/bZmL4e/mkCOinf334FEKsNkpQmcIVYeTn6sVH5LzqeWoounNekMKuC0TcNnS04/KMa7++9gwZ5b+OxwMo7eLWrT3yeSyGCnvIClldQizM0SIokM51NKyAbhTRfSMDHKHW7WXH270uDLE6kG1VlHbYyDgMPE1scIQH5SG3F9d5A//l3Q02CGIuGj/nC10v0+PhvRETK5HB8fugcAWDLAD0NCnHAjq0JjNBNQ9K88bax4TPI7MwZ7ARvl9YpelrERrrDgsihZD9XIZgc7PkprhbDhszC444ur5yCUSDF3501klNXDXsAGnQayl0dVXnk5wpXM9jwv9PG30zm1tGSAH8ZuukJ5LNTVAgnZzWJwxpa0DVFeJyTPj3ZRMe20Bx/PgFei3WHBZSKjtJ4cy1NnQT/daqaxX54jf/axF8DBnHoB1SUL/eWJVADAv28a55C65uiDVpcJtPHDuTRyzLisTtgm3i/PAww6DTQCuJFVSY5N747PJXs9jt0rQn5lI+bGtt5nJrW41mDWaOO5NPQLdDAo066L+b074I0+PpDK5BC3KAe2pKRWiG16dEa+OvkQc367CbFUjqEhjnizrw9Kapowf1ciaTr2rHmjjw82nDW+1NQv0AHXMhTurQv6+uLXK1kQSWQIc7NEcY0QtU0SeNnySRGrsZ1dSYGxFw25XKGjcy2jAnwWHT72ZriXTxV7i/KyRkZZ/WP537QlfQMdcCalROPxSVHuqGoUU5qhW7Jzlmk8XACFG7dQIkOomyW6eLauJPpf4cX863jBEXCY5A35m1MPyUkWFa5WPJ1aD3I5cDev2cjr7/maOh7ahK1+upiBsjohQlwt9K5aVeRXNeL7SU/meqti741cvNpDke2pE0ratP/jaaOS104rqUUXZbmqQSyFDZ+FsjohCqsb0dvfDnI5sOdGDl7u7Ar7Vjae7b6eg81TOuvd5ptTD1FWJ8QPj5mxGhPhArkyW6Gu8KiNIesvoU6o2423rE6IygYxAhwF+GpcKCQyOd7YnUgZz3z3Gat93mph+KYPR3MO+X6HBDvByZJDjmnOifUmFxBDgh3J3oHxkW0v599WfHkiFYduF4BBI9A30AFX0hVqraqJLTsBG542PErG4HlgVJgz9t3QnFoiCGBhPx+M+ZGa9egXYE+WyAgCJuvPqWkSky7Nr8V4vdClt7akPfh4Rkzv7glnCw4Kq5u0KjmqJNm18dIPl0lRLWdLrkaDVEvxHxXjN18FABxfZNzo7eRfrmuMST4OGWX1yK9qQIyvraLMREBr7f9FpFEshTmHAbFUDhulqNq5lBKMUjYO70/Iw+QoRblr/8080Aii1ZMvgGL6xVDz6StbrsOCy2y1vDkA9P/mIr46mYrd1zWnsLTR8kKujRFhzuCxGPjqZCrF56RvgL3OxuqnRWvGykeGO+O40qtkdowXzqWUoKxOCFszFvwdBbiRpegDseQxIZHJ4WtvBh97zfLni8DOq1n48bxismVshCv5vs05DDSJZaARisBq303NjO2zxtvODHfzNR2W58R4aw2UctRK2DtfjTZZkPDLxQxUN4rha2+GIcHPX5P180J78PGM4DDpeFspLLbxXBo5yaLCwZyj10r8vJoB1+djjRObyiirx9X0cpixGVjcX/dYrzr6jMNaw4n7xejkagEXSy5qmyQQcJht3oD6NJDLAVtlJoNOo4FOI5BSVIsopUnc6QfFiPaygYM5G+X1Ipy4X4TxXdx06n4wdOii/H0rHwv66m9YTS2uxZ28KowIddbrJquLjefSDW/UCr44nopfLmXgpwvNfSVOFhx8+XIndF931qS/y1hY9Nadc6osnVgqR6SHFcLdrUhfoTERrjiu7Ffp4WNLrqIHmGha4mmz90YOPj50HwAwJtwFpx8UQyyVK5RCmxSZn+ndPfFHfOt8lZ4GC/v5ktYV6jGEGZuBWTFeeHM3dcx+fKQrHikdsm34LIOBvbGU1wmxVenCvGSg/wsvLteWvPhX/xeY0eEuCHAUoLZJgo1aRh3n9dbdHzBzxw2yWdWKz8JCI83hJm25BpFEhgV9jXPJ3Xo5E/vm6le4NJaN59Ixs4cn2Awa8qsaYW/OxouckeQq3XvNlY20mWV1ZH23pKYJnjY8iKVyXEkvwzilrPK/SQWw4DJ1KtXq64n49UoWZukJSAFgxA9xIAjCoCqpsRjTxKrPI0Z9koZOI/DD5HCsPJysc/u2hCAUdf3W8HJkc4AxKcod1Q1i0nl3fKQrzin7CwZ2dMRVZXmirw6rhOeZAwl5eF8paT8i1BkJOZUorxeBTiNISYARoc64llGB8uesz8PX3gyltU2obBCDx6JT9EZe792BIh6mQqUBAph2wmXT+XTUi6To5GphUDn4v0578PEModMIvKcUkvrtajZlkgVQjIDN1xOA7LreLNP+pp4yTUs+P54CGk27Vog2xv90Fa/rOY7W8MO5NLyvfM+5FY1wtmjd9MfzhKp5ls9WBCGpRbXkCPTN7Er0C1RcfM6klJATJOcflqJOKMEr0bpFvXSVpI7dKzLKz+Vcagl87AV6M2fGsGZ0CPoFOuDIQv1NyhEGpOBVvD3AD3w2o830VgzxUidn/G5kWQlQBCuBTubILm+AGZuBISGOOJtaDKlMDn8HAWz4bCTmKNL5XjZ8VNSLwGLQEOL65OPKT5N/kgrw7v4kyOWKBVFaSR2yyxvAY9FBJwjI5EC0lzXqhRI8eMouw8YwOdqd7MERqP3tOFtwFI7Jx6geLlO7epABSoyvLTq5WprkOAqrG0m123cG+rf3ehigPfh4xvT2s0P3DjYQSWX4RovmwJxYb53liU8O3SebVVkMGn6fFa2xjbWWiZWtlzORW9GACHcro3Ud6vU0GLaGqgYx/krMx0Jl5qWwuhHednyT7PtpobrAqbxiWHQa2feh+rxvqk29XHxYigBHATxteBBJZDiXUoJOrhZax6IBkClubeyJzzEYVMzcfgMymRyLBxhXWtPGrJ5e5Gh2R2cLvXLTIctPGrXP12K8Mfi7S499TE8CjQDm9vLWqv+gix4dbJGg7FUZFuIEHouBk/cVzbgDOzrgakY5ZHLAz8EMhdUKobJQVwuwGS+Of8e+G7lY9MctyOSKUktBVSOSC2vAZ9HBYdIhksrgZcuHn4NA6xTJs2Z0uIvSWFJhtaBeJv54eBDWa5Hr33mtedH21TjjxBeNYcOZNFLt9nGnzv5LtAcfzxiCIPDBEIWz6MHb+bjXomHKksfCIj39GZ8qa7QA0NPXVkPlVNcoXL9vLgAA9s7tatRx/nY1G3/MMW5bQ9zNr8aDolqMj3SFTA4UVjUh0OnJXXXbEhrRPNmiCjBU/6+oF8HNWvG5qySU86sa4WNvBgaNQEmtEAXVTRisbD47l1ICgiD06mnoCkx+v5aD6UbY1f99K1/vRIrAQMOvujZBRb1IayNfSw683k3vxMCg7y7qfE5Xr4upGBXmgrMPWnfzHBHmjNNKhcoRYc4QS2XkNMuAIAckKSdmIj2tkabsH+jo/OJkPTZfSMfSA3fIwKOmSYLrmRVgM2jgshioqBfBgsvEyDBnyg37ecLfUYDEnCqwGTSKhkyMry0Cncw1PHsmdmnWUJob6w0Hc83JwMchq6wefyp/17uD2rMextAefDwHhLha4KVQZ8jlIK251Xm1pyfcrbUbje29mYuqhuYAY+8czVq/tuu6SCLDP0kF4LEY2PSKceOZE3++hnUmcL4FgFPJxeCxGOjpY4tGsfS5zYCoGjfdrHnkxa1l8CGTg/R1qRNKyACksLo5qLqVU0nemK9llEMul2NoiO7gI620TudzB2/l4xUDgnFL/kzCxJ+v6Xy+Vk92BQBm/XoDgEIa/60/bhnVeBzhbqV3JalPgrut9T9mxXjpVDPVpmfDoBFwMOegvF4EAYeBKC9rPCisQb1IMd0U7GyB28rgI8zVknxvXrbP3zncErlcjjVHH5DliFd7eKGmSYLTD4rBoBEQcBgoqxOCy6RjQV8fbDpv2kZkU7FkgB9+uaRoZrbkMSkLrRUjOuK1Fp5EAY4CipPtk2QGW/Ld6YeQyOTo429nEoXo/wLtwcdzwrsD/cGkE7j0qAyXHpVSnmMz6PhkeJDO1/b68jz5s6MFR6M/QyaH1q7rhXtuoUEkwZAQJ7J50hCnH5SYzCBpx5UsdPexQUdnc1Q1iFFZLzJKg6QtYdCaZeAdzTnkCka1QvK1NyMdPVWyzAQBUr21QSiFl43iBpRVXo8wN0sAimxPhIclGDQCBdVNyK1QZEb8HDRll7lMOqRKgzJt/HEjV282TMWT+G3cy69BUm4VfjibplMxsiVeHxzF/oTWT0IEu7Rt1quHjw3K6rRnABk0QmsDpUQmx5E7ihJNH397MOk0clw40tMaNOVUEwB0dFFIjwPQuUh4XmgSS/HWH7dJw7N3Bvohu7wepx8Ug8WgwcGcg7I6EZh0Au8M8scP59IojrDPC162fJTVCVFWJ4IZm0EJjuf37oDyehE5zaJC/bv5elwoOEZe8wyRWlSLQ8py3pKBz1a/5kWiPfh4TnC34WGK0ll03bEUyFqsBPsF2qOXDunf6kYxssubbzRva4notZksAcDrSnfT68v6GXWcpx8Um0R6XcUXx1Pxag8v+NqbobJBjCaxDD72z84HgSAUFvECDgOOFhxU1IvgYskldVW6dbBBRqnis1YFYbZmbNCUQYpU3qz3Ud0oJlfCuRUN4LEY6KQMKBJyFE6vMb6a36mqBKFLITO/qhEPi2sRZGSpavdszV4gYxi5MQ7fnaFmC6brEL9T8dVJ471SVLRUz9TWp/QkzI7xxoLdiVqfC9fTLKvSsugToPiOVM2lnT2sUNMkJoNQDxs+aoWKn82fYwXfwupGjNt8Ff8kKQTEVo0KRkJ2JWn852tvhvyqRtAI4L3BAdhyMQNVDeJnfdhaeS3Gm2weVl9XOVlw8EYfH4xTahqpGNfZlSKeZ0zjtrF8fTIVcrmiLyjYBN5I/xXag4/niAV9fSFgM3C/oAb/tGiMIwgCHxuZ/WDStTefRmlJB154WIoHhTUw5zANeoioGP/TVfymZ7yytSz5MwkL+/nCw4aHsjohmsTSNl8N60IslcPViouOzua4nVsFglDU+29kVYJBI+CoLK942/LJJlxHCw7EUsXqUJW2BhSlDVUPjsr0L8hZ8b5SixSrsu4dNPUFVDewhOxKnWqw+27mYq0RJbBXot3R3cfWoEKqLtTHFjs6m+PDYYFYOdK488QYWjY8e9vxTSrZ7W3HR4S7lc4mXrFUe1CuHviplFnTlSvpICdz5CszHVY8JszYDNQp92/2nKr3JmRX4KXv43A3vxpWPCY2vhKBf5MKcC61FBwmDT72ZrhfoAgC3x0UgN3Xc1BUo12s8FnzcmdXHLqdD6lMDj6LTvluPxkepLWpWL1n6e/53U3Wk3E7twonk4tBI0xbxvkv0B58PEdY81mktseXJ1IhlFBl133szfCaHmvm39Wawnr62mrUsuOzKrS+bsj6S5DL5UY1MqpYc/SBSY2zFv5xC+8NDoCTBQd5lY2oa5KYxGG1NZhzGAh2MQeNIHAtQ/FZvdHbB/8oR0PHRbohTumIObyTE6maGOxsQd6g7ARs8sYlksjIYEWVFlY1kj5SevBEeVlr9OTkVzXCy5YPmVyR8dLG4TuF8DSiv+DoXYVCZYSHpeEPQA8cJg3rJ4ZDLlc0HxsiytPaYIOyDZ+l0ciaZ6S9vbFMiHQjGwFbwqLTyL4NdULdLCnWAmuOpuDLEylkxks9QFJlv1SZLzmeD+8aFTKZHD9fTMfEn6+hrE6IAEcBfp4Wia9PpuJ6psK7xc2KpxZ4+OPo3UJkPEHJrq3p6GyO65kVIAhAJG0uCcX42qJPgD2pV6Jifu8OZInMyYKDcC2O4I/LV0rPrDERrs80Y/si0h58PGe82sMLDuZs5Fc1YqeWi/wCPWJiHx28RxmJPfpWjMY2TLr2iH/9GcVI2q2PBxh1nClFtRhtwtSlXA4s2nsbnwwPgoM5G1nlDSivExqtIfGksBg0SGRy3MuvQU5FAwQcBpYO9sfJ5CLkVzXC3ZqHXn62iEsrB4NGYGBHR9IfJMrLGrmVisyGvYCDRpHigshl0cmVcKNI8b10UF6gVBd3AYep1W5bVY/WtUKTyuQ4n1qC5S/pzoYBQGWDGHmVDRoKj+oY4zXz8fAg+NibYcOZR3hUUqfzPFLx9kA/MA2oibbstRgY5EC5mTwpdBqB0REuFKEzdXrqGIeM8rTS0NzZeC6dPDZXKx454q7qleIptV60ufY+K4prmjBtWzzWHE2BWCrHsBAnrBkTggW7b+FhcR1szdjoYG+GRyV1IAjFd3zhYalRk03PivcGB2DzBUUDLJ0gKJmrFSM64sO/72q85ke1hlljtY2M4Up6GS6nlYFJJ/CWkSKP7TTTHnw8Z3BZdFL6/IdzaWRdWYU5h4kv9Mipj9oYR/7sYM4hDd1UiKVyrWOc351+hNyKBljxWQZvaCrm7kww2iXXGEQSGZbuv4PPx3aCmzUXBdVNKKhq0vCuaYupTJFEhgaRFPYCNiZEumFshCt+OJuGh8V1cDBn4+vxoVj+j0KZc2o3DyRkV0IkkSHAUQBLHhN5lY0gCEXzYW2T4jvjs+jgKsdzG8RSyOVysnG1rK65QS5AS+8GVym/fj2jXOeN/sT9IowMMxwA9vz8HOIztWe9AIVL7ZSu+qdnRoW5ICm3irzwfz8pAmtG6y77TPz5moZ9uSFMrSPh7yAgMxLacLHU3twc5maFdGWWY0FfH3zdYoJH9d0DzeUZS64iy1imxzX1aSGXy3HkTiEGf3cRl9PKwGXSsW5MCMZEuGD61ngUKdV3PW14uJNXDRoBfDYyGMfuFuo9T541HZ3NUVEvJLOI6hNS83t3AI0gNNRM1Q06h4Y4wslEooZyuZzMekyKcidH7dsxnvbg4znk5c6u8LU3Q1WDWOuY28udXXXqYjwqqUNyQXMD3wdajOFSlSn/lsR8cQ4ymRwzeugu7bTkpR8u45dphiW4jaVWKMGSfUn4YmwofOzNUFTThITsSkyKcieDDi6TrtMb5XGw5DHhbcdHZw8ruFhxsT8xDzuuZKFBJEW0lzV+fKUzPvr7HopqmuBtx8frvTrgx/MKOfxJUe5kKcbX3gzmHCbZ3+FqzYNEuTJj0AgQBAFbviLLUNskIctqgU4CchsVZhwmORmjakRuyfnUUpMpTqqmNXTx9cmHeE+pCTEi1BmDgx0xQU0z4UmZ2MVNZ1P045JcWIO9WlxOVejqLQlzt0SGctTZ246PsZ1dsWxoYPOx/nwVG5Xff6MyA6JqLH7W5YrcigbM3HEDb+xORGWDGB2dzfHvgh4orG7CrF9volYogb+DAFwWAzezFX1Ma8eE4K/EPNx8zlxqWzKju6dWE05nZZNp76/OUx73sTejlAi/HhdmsmM5m1KCxJwqcJi0VqlLt9NMe/DxHMKg0/DeYEXQsD0uEwVV1BsDjUZg9ehgna8fuuESOS3DpNOwS8u0g5u19hXAd8ryS8JH/Y0+3s0X0kk1TFNQXi/CvN8T8NmIjujobI7yehH+uZ2PSVHu4LPoqFemth/HPE0bVQ1iZJTWIyG7ErdyqiCVyRHsYo6vx4VidLgLZv16A6nFtbAXsLFlWiS+P5uG4hoh3Ky5mBjlhr9vKVZbgzs6QiSRIVM5eaTelMpXll/Muc0NiSqtDQ9rxY3Lktfco5NRWgdfZYZKpSHSkgaRFJN/uW6Sz0DdqFAb2+IykVJUCyseE8uVjcliE5ZITrdSAMxYvlSuTlviasXFqQfFGo8LOAw4K/uOAMUkCwBKf41M3jyho/q/r7Kc9qxKFk1iKTaeS8OAby/gfGopWHQaFvbzxa+vRmHN0RSyrNrH3w5NEikeFNbAjM3ANxPCsOt6Dm7lVD2T4zaWub28sfNattYG4Y+HB5F/g+qoj+2vHh1MZiGfFJlMTk51zejuBXsTCZX912gPPp5T+gXaI8rTGkKJdtn1CHcrveNiWy41O4n28LHVED/KrWjUKtu+4cwjPCquhY0ZG5+PNU5Q7GZ2pdZJmiehulGMGTtu4L3BAejmbYN6kRR74nMwOsIFHez4aBLLUNMkgbcd/7GzIPYCNtyteYjytEYvPztMinLDazFe+GR4ELp4WuOLEyl4/6+7qGoQI9DJHAde747zqaXYeS0bhDJVnV5ST964R4W7IDFHkZK34bPgZsUj+xpUPjDaejgcLRTZEJZaeSWvsll0rc6AINjT5IOhgeQorMq90xSol6GeBlGe1mTpRB1PGz4IgkClUrhPlalSZaVCXCzwYwtRvvf234G/oyJQvPyozOQZHH2IpTLsup6NXl+ew5cnUtEklqGrtzWOLYpBTx9bjNoYh7PKUdpp3TxwN78a2eUNcLLg4MdXIrD5fDru5D2/PR6AonzGYdBxJ68adBpBMaOM8bVFtLcNPjp4j/Ka8ZGulIB6cpTpFkdH7hbiQWENBGwG5vXyNvyCdrTSHnw8pxAEgfeVJZMDiXlIKdJMr78/WLOkomLtsRRKWlmbjLou8aAB316EWCrDhC7uGnLtuli09zZOLo41altjEUlkmLYtHvN6d8CESDfI5Ap58U6ulhgY5ACpTI6M0nq4WvEowRVBaB95NGMzKP0TJbVC5FQ0ID6rAhcelmJPfC62XMrEZ4eTsT0uC8U1QtiasfHh0ADsndsVWy9nko6sb/f3Qy9fO6w+qvj3S6HO8LYzI11Oe/ragkYjkK5K3yuPT642u6o6EnuBsg+kXgRntSyHrfImn2xiM6+fpj7e2C2gMGcDFJoRP5zVdGJ+UdBVtnS34UEokZKNoxYq/x61CaahIU6UzODem7lYvPc2AEXQfPGR/iySKWhUBuMDvrmAZX/fQ3GNEC6WXHw7IRS/vhqF/Ql5mPDzVeRVNsLNmotxka7440YuyupECHIyx1fjQvHBX3dNfm61BfN6e5NlTgsukzL+rU3JFADpRAwomkxNNVorkcrwrXIx+FqsNyVb2U7raA8+nmMi3K0wNMRRIbt+TFN23d6cQzrEamPo+mYTL3sBR6tOiK6muw+U42onFhkfUAz89iIOLzBdA6qK6dvi0SfADsuGBoIgFL4lNU1izO3lDRadhrSSOlTUi9DV2xrmHAbkcoXMub2ATSkv1QklYDPo6GDHR6ibJbp6W6ODHR9cJp3sJ7HmsxDkZI5Xot2x6ZUInFwcCzaDjiHfXSLrze8O8sebfX2w6UI64tLKwWHSsGSAH5rEUtKqe0iwYgw5VTni562caKlVm0bisRQBkkoXRCSRwUEt+OAo08S5FY0YHa47y7VxcgSWDjZOWXHLtEgM6uioVVLcGFTj3J8fSyH7HV5EdHnbOFtwUC9sfl+qIFa1vSojYmPGpgiU1atNuczcfoMcvTY1OeUNWHvsAbquPYMP/rqLrPIG2JopmsTPvtMLPnYCjN54BZvOp0MuVwTFHZ0s8Pu1HIgkMvQPtMe7g/wxf1ci8qtMO9bcFizs64Ntl7MglsrhYsmlLKjm9+5A9oSp81qMF6n9Ee5uSTpNm4K/EvORUVYPaz4Lrz6ha/R/nfbg4znn3UEBYNAInEstxZV0TZnrmT10+74U1TThekZ587bdPTUmJ/KrtJdf9ifkITGnEhwmvVUBxexfb+qdggAU+gqtZd7viZDI5PhpSmfwWHRcy6jAgYR8vD8kAEFO5qhuFONaRgVCXBUOrDRCkdnIq2xEoJM5orysYcljok4oQXppPZJyq3AjqxJcFh0DOzpgfm8ffDg0AAv6+mB4qBPoNAK/XM5E1OrT+PSf+8ivaoSLJRfbZ3TBG3188NvVbLKfYMWIjvC05ePPm7moUGYv+gcqJnQuK5tRu3gqLoAlSuEmcw6DrEGrS9/z1OrSqlR/flWjTr0PQHFjHBDooPN5dQYoJ4daSvAby+qjD5CUW4WDt5uFnARshlFBqj4jvaeNSg5f2+N0tVWyKlPlaqX4GyupFZJjtjFKr54hwY74elwo5W+ry+rTmP3rTRy7W6jX4M8QcrkcWWX12HwhHSN+uIzYL8/hpwsZqG4Uw92ah4+GBeLCu30wOtwVKw8nY8TGy0gurIE1n4UPhgTgUXEtjt8vAo0Alg72x4gwF8zdmaAxRWcsT9MvLcBRABqNwN38api3CBZdLLl4LcYbk7dQe556+thiy6XmcqAp1ZiFEim+O63Ieszv3eG5FZR7UWj/9J5zvGz5mBTljp3XsrHin2QcXtiTop/AZtDx6UtBmPWrZuoRACb8fA2PVg8Bk04DjUbg/Lt90GPdWco2usovY368gpSVgxHsYoGpXT2McrYsqmlCg0iC/oH2OpsIRVIZaISica81fH48BeM6u+Kv+d2x6I/bSCmqxcojyZjXqwN6+dvhJ2Umgs+iY2SYC2oaxTiTUkJOhIS5WcLDjweZHEjMrkR+VSPu5ddoyHu3xMfeDNO6eeDlzq6QyuR4588k7FdmOObGemN8pBvK64RkE9rcXh3AoNOQVVaPjNJ60GkEuitvVPlViuBD3U1TPfhg0Jq/W9X4Zp1QAkc9TW0pRTV63WTVEUtlYNJpGBHqrFP/YskAP50mbIBCdl2d+X18yJ4HfYS7WeLInUKjjvNJGBDkgFPJms2k6hRWa1/1CzgM0NWCCIlMDgZdTclUKEFWeT0CHM3RN9ABG86m4eLDUnz+cieMCh+CbmvPoESZ9Tj9oJg0a4vwsEK0lzX8HATwdxTA0YIDMxYDNLXvXiiRIr+yEdkVDcgsrUdCTiVuZlVQfEtohKKHa1o3T/QNsIdMLsf+hDx8dSKV7C8aEeoMTxsevjv9CI1iKWzNWFg/MRw3siqwcI9uvRdDPM7f7JMwv48Pluy7DUBxHUxS6035fGwnshSjjnpAMK9XBzjryOw+Druv56CgugmO5hydE2jtGE978PEC8PYAPxy+U4DU4lpsu5yJub2oq9a+Afbo7W+nc2Lhs3+TsXKUYjrGxZKLFSM64tN/7lO28VWKDbVk+rZ47J3bDZ+N7Gi0rfaqIw9w4PXuOJdaqrP5TiZXCJ7pkrfWxZ8JeciuaMD2mV2w4cwj7InPxabz6Yj0sMJ3E8OxIy4TiTlV+PtWPrzt+FjY1wfppfU4dq8Qt3OrcDu3CgI2A7H+dpgc7Q5zLhMNQglyKhpQL5RAIpODxaDB2YILDxseunrbwM2ah9yKBmy5mIltcZmobhQr5JT7++HNvj6QyOR4c/ctVDcqGlNVjrN74hXeEz18bGGuXGnfU05DqN+s1YWpLNUmeGg0AjwWHQ0iKX662NxA3JKUwloU1xonhZ2QXYmu3jZ6O/RdWmHu52TBwcwenqg2wgNEV7Bjal7u7IrxkW5aewFU6BrBZTFo4DBoIAiF8F1tkwQcJh0EQSDExQJXM8qRmF2FAEdzhLpakH83+27kYnaMN84s6YXB310iSxpOFhwUVjchPrNCQ0ODpjQklMrkaBJLdTr7MukEunhaY1gnJwzq6AhbMzakMjkO3srH+jOPkKMURPO1N8PcXh3wV2Ieac/Q1dsan40MxtqjD3DOwESTPsw5DJ0S9W3BOwP98PPFdIilcnjbUQOPV6Ld4WDOpmQ4AEWJZoNaH9Ki/qYT/moQSbDxnGLfC/r5mMyU7r9Me/DxAmDFZ+GDoYFYuv8Ovjv9CMNDnSm9Girfl/OpF7S+fue1bMyJ9SaFcKZ188Caow8oGY9HJXXo7GGlUT+9nlmBsynF6BvggKRPBiL0s5NGHfPYTVdw/p3eGrP36oilcljxmKhspXlVfGYFxv54BZumdEa0lw2W/X0XN7MrcSe/Gov6+2JCFzd8eSIVGaX12HA2DX4OZlg2LAj1Qgn23cxFXmUjjtwpJFfhzhYcdHSxgLs1D9Z8Fsw5DIikchRWN+GbUw+RXFBD0UbxtuNj3ZhOiPJSTEws+TMJVzMUGZfvJoSBQaehulFM2ndPU1slkTbsSrdbAKR5lzmHQQnWRBIZGXzoW8nfzq3CvJ0JRn12B2/lo6u3DR7q0HoBgLf3JRm1L0CxOuUw6VjSite0NY7mHINKqS0DbVWwIZbIwKDTYGvGRmmtEMU1TaSEehdPK1zNKMf1zHJMjnYHQRB4tacXPvjrLjZfyMC4SDdYcJn4ZXokXt50BfUiKVwsudg0pTPu5VfjfkE1Uotq8ai4DrVCCWRyaJQ/uEw6PGx48LDhIdjZAl28rBHmZkne7GqaxNgRl4nfrmaTmiK2ZizMje0AGo3A8n/uo04oAYdJw/uDA9DZwxqv7rhhUMdFHxZc5mOXaYxFfSES6mpBqg0L2Aw0qQXnrlZcvD8kAN1bZG/ZDBol8Nj9WrRJA4TtcVkoqxPB3ZqH8ZGm07f5L9MefLwgvBzhij9v5uJGViWW/3MfW1oIe3WwM8OcWG/SKrslMV+cQ9a6YQAUwcrFpX0QveYMZZuWgYeKV3fcxJ3lA2HBY2LHzC6Ysf2GUcfc+6vzuPJ+X40LhTqVDWK4WHJb3fxWUN2EkRvj8MnwIJxYHIsP/76Hiw9L8cXxVIS4WGDDpHDEZ1Zg6+VMPCyuw8rDyfCw4eGVaA/4O5rhVk4VzjwoQXJhjUJJtVp/5oBGAF08rTE52h3DOzmDTiOQV9mAJfuScD2zAgwagfUTw8mMxnenH6K6UYwOdnz0CVD0azSJpaQgWRe10eRy5ZipFZ9FkcdnM2g6reDVaY2w1R83crF6dAje3X/H6NfowtmCg/GRrqgXSnDkbuvKKT9N7Yy5RgZMrWXkxjh81krzOyaNBpFURt4AnS04KK0VIr+qkXQqjfWzw4azaTidXIxGkRRcFh1jIlyw5VIGMkrr8cXxFKweHYJAJ3NsndEFr/12EzezKzH71xv4aFgQVo8KIcssTWIpahrFqGkSg0GjgcOkg8ukw5zL0JjMkMrkuJZRjn+SCnDwVj6ZKbPiMTG3Vwf42pvhyxOppH9JZw8rfDUuFFfSy/Dy5is6y6rGwGPR2zzwAKgGf3N7dcBbfyjKQ3bmbNJTBwC+fDkUB2/lkxo5KqZ09SBHv/sF2KN7B+PKkMZQ3SjGT0pl38UDfA3aBrRjHO3BxwsCjUZg1agQDNtwCaeSi3EquZhsHlSxsJ8v/k0qQKGOG+kf8TmYqJx3dzDnYPXoYCz7mzofH+xirrUHIubzc7j9yQD09rfHS6HOWp0jtdF93VmcWdIL/b7WnpUBFA2V3nZ8ykXGWD47nIxrGeXYMDEMp5KLsfJwMu7mV+OVX65jTLgrDrzeHUfuFGJbXCayyxvw+fEUsOg09A+yx9xe3ujiaY28ykbcL6hGUU0TyutEqG0Sg81Q3AzcbXjwsTdDpIcVbMwUK+CKehF+v5aNzRfS0SCSgs+iY9OUzoj1U1ivX00vJ5UVl4/oSPZ0XHhYigaRFM4WHHRybTbNS1OO43rZ8inNiYduawonmYINZx4hSYuhWmuZ0cMTbAYdqw7fM7xxCy618TjqJ4fuG95IDSadgEgKVDUqgj1vOzMk5VXjQWENBikNFDt7WMHNmovcikacuF+EUeEuivc/MhiTf7mOXddzEOZmiXGRbujqbYO/Xu+O+bsS8aikDov23sZ3px9icrQ7+gbYo4OdGezNOVrLX3K5HNnlDUjMqUR8ZgVOJRdTfHB8lT1InVwtsflCOtYpJ+EsuEwsGeiH/oEO+PDvuwaF4wyhLuj3tPhgSAA2nkuDWCqHswWHck2Y0d0THez5mLTlGuU1r/bwomjOfDMhzKTHtOViBmqaJPBzMMOIUNP5Wf3XIeTqwgPPATU1NbCwsEB1dTXMzZ+NrfrzzLpjKdh8IR0ullycejuWHNdUcT61RG9m4v6KQaTaplwuR9AnJzRGJnUFF4v7++Gt/r6QyeTw/vCo0ccc6mqBdwcFYMpW/WqcnjY8ZJU36N1GFw7mbHw9Lgx+DmZYc/QBOY3BZdLxWqw3Jke548LDEvx+LYeiQsmgEQh3t0SYmyVC3SzRwc4MDuYcWPGY5Aq0qkGE7PIG3CuoxsWHpbjwsBRNYsVqMsrTGmvHhpDmcDnlDRj9YxzK60UYE+GCb8aHkb9ryi/XcTmtDK/FeGHZsOax508P3cOvVxWlMX3B49NmVk8vvUJiK0Z0xCvR7vBZdqxV+x0R6oyTyUXkZ2gKhndywmETNLOOCXfBNxPCsCMuE8v/TUYffztsnxlFPr/+9CN8e/oh/B0EOPZWDJnJ+OZkKjacTQOTTuCb8WF4KVShhyKSyLDlUgY2X0inrNZt+Cx42PDgZMkFW7mSrmmSoKCqEXmVDRr9FRZcJgYEOWBMhAuseCz8cDYNR+8VQi5XZOWmdPXA4v5+uJRWho8P3nvibIWAw9DILrQFLAaNFHuL8rRGtw42WH/mEbhMOthMGlmS9LTh4ehbMRj+/WWNRYqfgxkeFisC+B9ficDQENNNVZXVCRH7xTlF39XUzmQg2o52WnP/bg8+XjAaRBIM+OYi8qsaMa9XB606H+rTGNpQlV8AoLRWiC6rTxv9+w++0QNhbpatft2bfXxgY8bCin+T9W5nTAmGIBQW5tqaWcdHumLZsCBkltVj1eFk0q/CjM3AK9HueLWnF0prhTh2rxAn7xdrbbIFVF4sisZYbb8n2MUcr8V446VOzuQNKLWoFlO3XkdJrRBBSkVU1TjtnbwqjPghDnQagfPv9KYYUQ3//hLu5ddg3ZgQDTtwFX/O64Zxm6/q/VxMzcnFsRj47UW923wxthOWHqCWcNRvBk+LfgH2JjGmi/K0xr553ZCUW4WRG+MgYDOQ8PEAUmSsukGMnl+cRW2TBN+MD8WYCFcACsntxftu45Ay6F3U3xdv9PEhU/T1Qgn+vpWPE/eLEJ9ZYbAUwqLT0NHFHBHuVujjb49ITytcelSGPfE5OKv2PgcGOeDtgX4wYzOw6vADHL9fpGevxmFrxn7qirMAsHlKZ7y5WzFSbydgU7RS9s/rhop6Eea0KNW9PySAzPy4WHIR935fkx7Tsr/vYtf1HIS6WuDgGz1MJlb2/0p78PF/zunkYsz+7SYYNAJHFsZojDlWN4jR4/OzOvUF1k8Mo7ih7ruRq3ED0ZdyvfXxAFjxWbiaXq6RAtXHlmmRiEsr02oOpY6XLR+ZBvoYaISidKQtS2Brxsaa0cEYEOSA4/eKsP7MI7IezqLTMDzUCeM6uyHayxo5FQ24mV2JpNwq3MmrQm5lo1bDMTsBGx3s+OjRwRa9/e0R7GJOXojkcjl2Xc/B6iMP0CiWIsBRgN9mRZHKpVKZHC9vvoJbOVUYHe6Cb9XSwuV1QnRepQjiNr0Sgdd3JWp9v/HL+iFq9Rmtzz0OqrHJad08KOZb6uyb2w0fHbz71AOJx0EV8KwdE0IK5D0uGWuGQg6g69ozKK0VYvvMLujj36yzsvFcGr48kQpLHhMnF8WSpROpTI6Vh5PJ8zvQyRxLB/mjl58dZaS2SSxFalEt8qsaUVDVCJlcDgIEuCw6XCy5cLLkwMuWDyaNhvsFNTh+vxD7E/LIkVuCAIaGOOHNPj7wsuXjpwsZ2HQhzSSZJH8HgU7jybZk7ZgQ7LyajeTCGo0G19divLB4gB+CPjlBec2YcBf8pebpcv3DfpQR9iflXn41XvrhMuRy4I85XdHV28Zk+/5/pT34+A/w2m83cSq5GF08rbB3TjfKxQ0ATiUX6x01vP3JAIo0cPCnJzSCFV2rSQsuE7c+HgAajSDT0MZyfFEMvjyeanCV2snVwijPCQdzNkUHQZ1efnZYNiwQvvZmOJdagh/PpVOcO12tuBgd7oI+AfYIdbUkezOEEikZgNAIAgIOQ6O8BShWu2dSSvD92UfksXbztsGmKRGUz1Yly27GZuDU27EUW+99N3OxdP8djZUeoPCeKakVgs2gIWXlYHh9YHypyxicLDg49XYvLNl3Gyfua07TRLhbooePLb5vhYx6qJulSfpJWoO/gwC5lQ1oEElxZkkv5FU2Yvq2+Mfe38gwZ3w3IQyf/nMfv13NxqgwZ3w3MZx8XiSRYcymONzLr0FXb2vsmBlFTlbI5XIcul2AFf/eJ6e4fO3NMKyTE/r42yPQyZzMorRELJXhUXEd7hVUIzG7EmdTSkjNEEChvjs2wgUTo9zhZcPH8ftFWHvsAXIrjGvWZtAIneO8wLPJWAGK0WgrHhNbLmWCSSdAIwgyM+Rtx8fRhTF45ZfrGg3x6qW2D4cGYE7s4wnnaUOmXDAk5lRhRKgzNkwKN/yidtou+Fi7di3++usvpKSkgMvlonv37vj888/h798s7SyXy7FixQr8/PPPqKysRHR0NDZu3IiOHY3rPm8PPowjv6oR/b++gEaxFF+83Enr+NeCPbf0Noaql18q60UIX3lKYxtvW77WaYoZ3T1Jd9MB31zQWb7QxoV3e2PJviSDFt49fWxJhVB9mHMYcLTg6LxwTo52x+L+frATsJGYU4k/b+bicFIhRercgstEDx8bBLtYIMBRAF97AWzN2OAwaWSGQyiRIru8ASlFtbieUY6TycVkwMBh0vDuoADM7O5JCQQvPyrD9O3xilXxyI6Y2s2TcmxjfoxDog5H0a3TIzHr15vwtuPj7JLe8Hz/iN7PQcBmYGxnV4OZJRW/TItE/yAHbI/L1FkO02VjrvMY1HoFBnd0NEkZwBCTo92x+7pCU+XO8oEw5zD1flbRXta43kJzoyWDOjpgSlcPTN0aDwaNwKX3+lCCxrSSWoz8IQ71IikGdXTA95MiKEFFWZ0QP11Ix574XEpQT6cRcLPiwt6cAzaDBjqNQFWDGKW1QpTWCjVGhHksOmJ8bfFSqDMGBDmASaPh2L0ibDjzqFUZCkPlTB97M6S14m/4SaDTmkumPvZmeKufLxYoxc9aZj3+nt8dpbVCjXLLR8MCKboxmWuHmrQkciAhD0v+TAKPRcfZJb3hqMNZuh0qbRZ8DB48GBMnTkSXLl0gkUiwbNky3L17F8nJyeDzFcZZn3/+OVavXo0dO3bAz88Pq1atwsWLF5GamgqBwLAKYnvwYTw/XUjH2mMpsOIxcXZJb1i18OuoqBchQktAoeKzkR0xTe1meOxuoc60vzZ+fTUKvfzsIJHKWt10ePWDvpi+Ld7gSmtoiCOO3jV8A6PTCHT1tkZidpVWzxEWnYYZPTwxq6cXHMw5aBRJceJ+EU4mF+HSozKdzXUsBg1cJh2NIqlW7QgBh4FXoj0wO8YLtsppGPI9ppdjzm83USuUYHS4C74ZH0q5QN7NU6R1tfHpS0GQSOVYffQBBgQ5YNMrEQY/492vRSOjtF7D4VMbdgI2bixTmKOpziNtOJpzUFRjXAOsuzWPFLziMGk4tbgXYr44Z9Rrn4RlQwOx+ugDEASQvnooaDRCb/AxItQZYyJcDI6Mu1vzUF4nRL1ISgm2VVxJL8OMbTcgksoQ5WmNH6dEaJwDNU1iHLtbiHMppYhLK6MEvNoQsBno6GKOEBcLxPjaIdrbGmyG4vw7fKcAWy5ltDo7odKK0cXjTpo9DuqBBwD89moUFuxRCPSpJolUvN67A2b39CLLkiqiPK0Rn9UcPJ57p7eGa/eTUNMkRt+vLqCsToj3hwRgXi/TZVT+33lqZZfS0lLY29vjwoULiI2NhVwuh7OzMxYtWoT33nsPACAUCuHg4IDPP/8cc+fONenB/9cRS2UYvuEyUotrMSHSDZ+/3Eljm8N3CvDmbt2Sylc/6EtZ0Y3bfAU3sqgZCQ8bHrJ1TKFc+6AfHC04OjMn+rj5UX8M23BJZ9lERR9/O6PVGb1s+fC25ess69AIRZp3TmwH+NgrJlQkUhmS8qpwLaMCqUW1SC2qRUZZnVb1VT6LDn9HATo6W6BfoEJPoGUaXS6X48+EPHz09z2IpAqL819fjQKb0Sx69KCwBkPUjP9acu6d3vjqRCqO3C3Eu4P8cTOrQu9n4G3Lx9l3emN/Qh7e+dOw4JfqoiqTyTFk/SWT1Plj/exw8aHiGEeGOYNFp5FGe22JSrHXnMPAneWDAEBv8BHlZY29c7q2uox17K0YDTfc86kleHP3LdQJJaQD8uhwF62rcLlcjuIaITJK61DRIIJYqStiwWXC1owNewEbLpZcSubsYXEtdl/PwV+Jea1WGDWmd0o9YHzafPlyJ+yJz0FiThVcLLmoaRKTiwA/BzP882ZPxHxxTqMc+XJnV7Kh/pVod6w24CXVWlYeTsbWy5nwtuXj+KJYnWWydjRpzf37iXQ+qqsVdW5ra4VgUmZmJoqKijBw4EByGzabjV69euHKlStGBR/tGA+TTsPq0cF4efNV7L2Zi3GRrohUE68CgGEhTvi3Y4HWmj4AdFt7FhlrhpIXvK0zuqDTcqqKaXZ5A4Z1ctLqy9F17Rk8Wj0EVnwWDr3RQ8P3Qx+Rq04j6ZOB6Lr2jF6H1HOppYj2skZyQY3BlWNmWT2yy+vRP9AejWIp4tLKKc/L5MC+m3nYdzMPkR5WGNvZFcM6OaGzhzU6ezR/dnK5HPUiKaoaRGgSS8FjMcBnMSDgMDT6a9TJKW/A8n/vkxMJQ4Id8e2EMDLwqG4Q48fzaXrl0kPdLOFhzcMN5eruQEKeQSGxt5RS0hymcRdK1Xjjv0rZ/ieFQSNwWU27Y2SYM17dobvnyJSojBG19eVoQyVzbsNnUfQzWtIyIzBk/SWkrhpMCSJ7+9vj4Bs9MHfnTaSX1uPtfUnYFpeJad08MSLUmaKySRAEHC04elP4UpkciTmVpJbP45ZCevjYaJz76pixGbA1Yz32aPuTMrGLG9JK65CYUwUBhwELLpNSFvp6XBj+iM/RCDw+GBJAydKtGNE6MTlDPCyuJcuMy0d0bA882pDH/mTlcjnefvtt9OzZE8HBCt+QoiJFetzBgSp+5eDgQD7XEqFQiJqaGsp/7RhPpKc1Jij7PZb9fQ/iFqUBgiCwclSwXjfK9WcekT+bc5haXWyP3ClEV29rjccBkKZ2oW6WBh1tWxL62Unc/Kg/6eCqi+uZFXCx4sJXma3Qh0wOnH5QgtyKRsyJ9UaIi4XW7W5mV+KDv+6iy6rTmPPbTfx+LRs5yosxQRAwYzPgasWDj70AzpZcWPCYWgMPqUyOm1kVeOuPW+jz9XmcTSkBi07Du4P88cPkCHCYdNQJJfj+zCP0/OKsRuBhpebnAii6+O/kV5PNhsYomFpwFftQN6bTx4PCGjSJpfjieKpR2xsi2tuaNB2z4jHRzdt0CpOGsGzx+RnDHzdyMb+Pj95tMkrr0dGZunrz/+g46c+jwsfeDEffisHSwf7gMum4l1+DpfvvIPyzU5i+LR6bL6TjVHIxUopqUFLbhLI6IcrrhMgsq8fV9HIcvJWPtcceYOLPVxG64iTG/HgFm86nP1bgEe1lDQ6Tpjfw6ORqAR6L/lQDD/VyVAc7Pnr52eGnC4q/g67eNkgubL7uL+jrAzMOA8tb9CH1D3SgBB6HF/QEw4Rqo3K5HJ8eug+pTI5BHR1I0cB22obHzny8+eabuHPnDi5f1qxZt0w5yuVync1Aa9euxYoVKx73MNqBIoV+MrkIqcW12B6XqdH1bS/g4OtxoTo9O9afeYQRYc6kUFawiwU+Hh6ElYepf/zXMrQ36V18WIo/b+ZiXKQbJke743pmOal3YAwdPz2BlJWD0XnlKb2KiilFtTBjM/Sa6KmTU9GAny9moIunFan+qi0NLZTIcDK5GCeV/imuVlwEOZnD31EAXwcBbM1YsOAyIWAzIZJKUS+UorxeiIfFdUgprMGlR2WUFXSsnx0+HhYIXwcB7hdUY/f1HBy8la/1vX07IRS/XMokJyPMOQyMiXDBVydaFxSoVtOGPE1U3M6twva4LORXNcLJgoNXot1JV97HQf1mN6yTE3ZdN86E0BRo8/AwpFXxwV93sfylIJ3Pq7hfoLkYGv79ZXT1tsbMHl7oH+gAOo0Am0HH/N4+mBDphn038/D7tWzkVzXiglKUrjVwmXSYKX1+KhtEMLYw3j/QAacf6HfzHdzREWdTS8jM19NAZa6nYuXIYLyxW9Fb1r2DDUW3pLOHFd7o44OAj49r7Ec9SB8b4UrK3puKI3cLcTWjHGwGDR8NM3xutPNkPFbwsWDBAvzzzz+4ePEiXF1dyccdHRXqb0VFRXByalaZKykp0ciGqPjggw/w9ttvk/+uqamBm1u7cU9rUDee+/bUIwzrRDWeA4DR4S74N6lAZ99Av68v4NHqIaQo0qs9PLE/IY+0o1ehSwfg3f130NHZAkHO5vhuQhjOp5a2SmUx4OPjeLhqCAavv6i3+a1OKMH51FJM6eqO36/lGLXvG1mVuJFViVFhzpjXyxunkotx+oHuUd+8ykbkVTaSwYgxmHMY6B/ogEnR7hBLZfgzIQ9nU0r0rl7/nNcNidmVlBvcrJ7eqG2S4Fcd2hu6cFTqGwj1lK/UKaxuwo9Kl853BvrD2oyld/sYX1tcemR48ggARoa5aAii6RuJflJU56z6GGlnD0udpUYVLVfWreFaRgWuZVTATsDGwCAHDOroiGhva9iYsfF67w6YG+uN1OJaxKWVITGnErkVjcitbCAVOwFFI6ijOQcO5hywGDTI5HKU14mQW9mgUW7Qx1v9fPHzxQyDgceQYEccu9f200fqmHMYlMDj2wmh+Pb0Q1Q2iOFty0duZQPZgGrOYeD7SeH4+qRm4N3SiXuV0qXbVNQLJVitnJ55vXcHighgO21Dq4IPuVyOBQsW4O+//8b58+fh5eVFed7LywuOjo44deoUwsMVc9EikQgXLlzA559/rnWfbDYbbDZb63PtGM/LEa7YfzMP8VkVWPHPffzcwniOIAisGROC7uvO6lxJvbf/DumLQBAE/pzXDcGfUoV9UotrMTfWW2vPwtANlxD/YT/Ym3Nw/cN+Wlcv+vD76BhSVg7G3J0JBleLv1/LwayeXjh4K19v3V6dg7cLcCipAEOCHbFhUjhu51Th16tZWhVMjYXNoMHLlg83ax5u51ZRRI/0sW1GJJh0Gr4+1ZxtsBOwEepmodeITxuqmjkAvb0zLakVStDR2Ryjw10MqsqOj3QzKvhwtuCgs7uVxuP9Ax2w67pxwWJrUb332qbmG3uws4XB4EMXhvol1CmtFWLX9Rzsup4DFp2GACcBQlws4GNvBnsBB6FulojxtYMcckhlcoilcpTUNKGgqhFFNUI8Kq5FUl6VUQaCLZkb6420kjpK2VQbVjwmgl0snnrgAYDSJPtKtDseFdfhRlYlzNiK/qkkNS2f9ZPCUVDViC2XqJL+s3p6UQKP3a9Fk8rBpmLjuTQUVjfB1YrbPt3ylGhV8PHGG29g9+7dOHToEAQCAdnHYWFhAS6XC4IgsGjRIqxZswa+vr7w9fXFmjVrwOPxMHny5DZ5A+0ooNEIrBodjKHrL+FkcjFOJxejfwvjOScLLtaM1q0A+detfEzv7olQpd27GZuB44tiMPg76lTGTxczMLunF37R4vsRteYMkj8bBB6LgaRPByJ0xUmNbfQR8PFx3F8xCGuOPjB4s9p6ORPDQpxQK5SQUxaGkMuBo3eLcPRuEXr42OD7SeHgMuk4dq8Q+262fjJDKJEhpaiWVFA1BItBw7fjwxDoZI4RP8RR0t/etnyjHYPZDBopxBTo2Ky2eqoV2RpAMaZKoxFwMqBjEKY8JwwxsKMjEnKo01Lze3eAGaftPCzNlF5FQokMTWIpOEw6OhjRG6SLuLRy/DW/O8b8eKVVrxNJZbiTV22UON6T8PYAP1TUi/Q2LauY2MUNt3OrjM5amRImnSAnxjo6myPWz450Mg5yNicbfwFFtiHSwwohyzWvF4XVzYHxsBAnkzrWAoom9S2XFJ/lJ8ODtJbx2jE9rerW2bRpE6qrq9G7d284OTmR/+3du5fcZunSpVi0aBHmz5+PyMhI5Ofn4+TJk0ZpfLTzZPg5CDA7xhsA8Ok/99Eg0pwMmdjFDT18dMsEj9wYh0a13oQAR3N8Mlyz/vnL5Ux0sNM+Wz/4u0uQyhQjhNc+6Nfat4GOn57A0kEBeGegn8Ftj9wtRHxmORb39wOrlc1ncWnlmL8rEW/vuw0ei4GDb/TAwTd64L3BAej1BM1mHCYNsX52eLWHF6K8rMlmX3sBG3vndEWIiwUm/HRNI7VuSPhKHXVvkEAnxd9WnVDSqptMvwB7dPdRXMgZdJreAMTViqvzOXX6BzrgsxbljPGRbkhrY+VMVcOySpk22Fl3P0CUp/bGaXXG/HgFW1pkD43FnMOAswUHtmYsCDgMcJg0Uj33SVg9OhgfDAnAN6ceGiX8tqCvD/5JKjA6MDYldgI2GXhwmXR8MjyIXPQEu1ADjyhPaywZ4Id5vydo7GflqGCKzo82OYEnQS6XY8W/9yGWytHLz07DKbydtqPVZRdDEASB5cuXY/ny5Y97TO08AQv7+eDfpALkVzXiqxMP8UmLpjqCILBuTCf0+eq8Tqnl2C/PkQJUADCzhyf+uJGjIW6kqy6dU9GAt/64hR8mR8DRgqM1e2II1RSMqxUPi/be1rttk1iGb08/xOdjQ7DtclarR0crG8TYcSULO65kwdmCgxhfO4yPdMN3E8LQJJEivaQe6aV1KKhuRL1QgromCeqEUrAYBPgsBvhshtL7xQyuVlwUVDXi3zuFlJLO6HAXfDg0EDkV9Xh58xWKbPaTEuZuSXbqt4YPhlJNCfX16BirHtnFy4riGgwodGK0NW7qQuU7Yyx1QgmcLbnIqWhAXmUjnC25cLPWHSwx6Ma9lyvpZfhsZEd80srPtaZJ0mpNDl342Jth1ahgXEkvx0cH7xnVfNpV2XvSGll8U6KyBVCxaUoEvj71EBX1IkXzaVVzD4g1n4UNk8Jx5G6hRqnro2GB+FhNMO/QGz3ILJepOPOgBOdTS8GkE/j0paB247inSPsQ8/8ZPBYDq0crmrG2xWXiihZ5cjdrnkZQok5prRCHbjf3LhAEgYNv9NDYrqZJonMc7fCdQmy+kA5AkT357dUordvpI3LVaUR7W+PA692M2v69A3fhZcvHW/18Se2H1sCi01BQ3YS9N3Pxxu5EhK88hZc3XcX2uEwU1zTBzYqHbt62GB/phrm9vDEpyh0DghzQwd4MpbVC7LyWhbGbrmDOzgT8m1QAqUyOrt7W2PNaV6wbG4Kd17IxbvPVJw48PG2ozXA9fGyxOz4HBxK1l410ZYR87KnZSH0qmOVGupyml2ifJkorNT7z0doWnNI6ITyUn0lWueL3EwSBICftIkdX0svJTM7MHp7wc9BeotkelwVAoQSsgsukw07Qtj1qTDqBDZPCcXhBT/T0scXEn69hw5lHRgUeK0d2RGF1k1ZNnqeBkwWHcn6vGhWMiw/LEJ9ZAS6TDiadRunR+m5CGOSQ460/blP2E+hkTnHmXtTflywHm4omsRQrDisCy9kx3vC2e/xSXTutp91Y7v+UD/++i93Xc+BswcGxRbFkU54KuVyO1367qXfqo6X66aPiWgzQYrE+tasHdl7TPp2xdXok+gUqUpl/38rD4r2G1TdbcuHd3uCy6K1ydf3xlQjsu5lr1EhuS9ysuWDQaAbVIXXhYslFnwA7TIpyh7+DAH/dysf6048MNnU+DgGOAqweHYKJP1/VqsgK6JbPVvf2ySqrR++vzuv8Pa9EuxvVMNrV25oykv3J8CB09rBqlfhca3Gz5qKXnx1+v5aD13t3wHuDFRmdnVez8LGOrIXKzdeGz8LxRbH44niKTjXWpYP9EeAowOK9SahuFINFp2FaNw+Eu1thW1ymhuHZ4zA0xBGzY7zhacPHv0kF+DMhF/fyjc8WjQxzhretGX4490jnedDWtDzPFIGdgCy3BDgKKCWgBX19sLi/H7w/1FSaVfduMecwcPuTgXrF/R6HDWce4ZtTD+FozsGZJb3AN3FW5b9Iu6ttO6gXSjBswyVklTdo2LirqKwXYdB3F/WuxB+uGkJR+dt9PQcf/q3ZsPpqDy9si9NsQAUUTrYBjorv8pdLGRRDKGPZP68bQt0sEfzpCUq/gz7GRLigl58d1hx98Nhjni6WXIS5W4LHpKOqUYyqBhEqG8SQSGXgMOngsuiw5rHgY28Gbzs+wtys4G3Hx738avyZkEcanpmKlq6x4yNdcT61FCW1QtiasbROTbT0wlChHnx88Ncd7InPNemxAsDl9/rg4sMyreeMKVGZy/X0scXvs6MBKNRmY7/U7i1jyWPCgstEdnkDZvX0wsfDg7DrejaW/a3bF+f0272w4t/7ZF8Nn0XHqHAXTIpyh7sND/fyq5FcUIPEnEok5VZrBJvWfBY6Oit8WyLcrdDRxRyO5hwkF9bgfGopLqSWav2eDLF+Yhh+PJduEqXax8WKxyS1agCgt78dXovxxvRt8ZDI5Ij0sKIYSXb1tsau2V3x2b/3NcbKvxoXSrEIuP5hPziYm9bYLbeiAf2/uQChRIbvJ4XjpVBnk+7/v0p78NEOACAxpxIvb7oCmVyRCRga4qSxTXxmBcb/dFXLqxV42vBw/t0+lMembr2utbFxRKgz/tHhohu/rB/sBYoLyNqjD4zq1G/J52NDMKGLOxbvvY2/jRxpBRTvPbu8AZsvpLdKe0QXNEJRSrLms8CgExBLZSiuEZrMFVRfz0PLizyLQYNIIoO/g0ChnKll7FiXo6kq+CiqbkLMF2fbZMWcuXYoPjp474nGbI3NugAKY7akT5tXyQEfH0OTWHuw+s5AP3x18iEIAtg/rzs6e1jhSloZJv9yXef+CQJ4d5A//k7Mpzg52wnY6OljizA3S3jY8OBhw4cFlwkWgwYmnUCjSIqyOhEq6kXIr2rAg8JaJBfU4H5BNeX7bA3fTQjD7VzFuPizvopzmXRyzNvbjo8NE8MxZet1VDWIEelhhbTSOlLjxNaMjaMLe+JBUS2mb4un7Kelfs/mKZ0xONjR5Mc7b2cCjt8vIsui7b0epqE9+GiH5KsTqfjhXBoseUycXBQLey0riO/PPKLoTbRk5ahgTO3qQf67SSzVqeHhbcvXKQd+f8UgMrX59r7b+CvR+ABCxZgIF3z1cigO3y3Ewj26DfNawmHSsHdON5x+UIytlzP19jc8S0JdLeBsydWqyaDLX8fBnI0VI4K1TgvoQxV8rDqcrHVs2hRkrRuGURvjcFstW9Na3h7gh2/0nJ8tUc+06Su9AIrz6a/EfLhYcnHozR6wNWMjpaim1Q3ST5MPhwbA1YqHTE+F7gAAekFJREFUlYeTKQJezwr14JbNoOHv+T2wYE8i0kvrEeRkDjlAESvcNTsanrZ89NCiZ6OuIRTja4uds6JNfrwXH5Zi2rZ40GkEji6Mgb9j+ySmqWjN/bu94fT/nIX9fNHR2RxVDWIsPXBH68TS/D4+6Oate/z244P38FAtpcth0nWO0Mr0xLIdPz2BJuXq6JvxYRgV1vpU51+J+QhfeQoDAh1waWkfwy9Q0iSWYeTGODwsrsWRhTGYG+sN8zbUnmgtNnwWVo7siJcj3XSKQcVpaR7ms+j44uVQvHfgTqt+n7fSgryyXqQzq/Cki8EhwY6Qy+WUc+dxaK0I3LmU5j6fEaEuere15rHgZctHflUj5u1MgFAiRYCjOU4tjn2sY21LFvb1we+zonH8XhHm70p8LgIPPwczSlbtt1ejsO54CtJL6+FozoGXLZ8SeCzq74vOHlZaA4/1E8MoGdHHHXXWh0giw/J/FcHo9G6e7YHHM6Q9+Pg/h8Wg4bsJYWAxaDifWqr1RkOnEVg/MUyvg+PAby+iTs1R1tGCo9WALqu8ASP01E9jvjhHCmt9NzH8sQKQ6kYxAj85DhaDhvQ1Q9G9g+7AqSUn7hejz1fnUdMkxvFFsVgzOkTntMPTYkFfH5x/tzcYdBpltFCdcZ1dKdLcgOK73aCUozamnKQ+/RGkNEzbfiULjWIpKc+uTssm5dYyPtINpXXCJ84yNYmlRuuMAMB2td4jCx4TM7p76tz2l8uZeHeQPwQcBm5mV2L2rzfRKJLC10GAO8sHmnzC4nFYPToYRxfGILmwBlO2XkdiTtWzPiQACoM69fH77yaE4di9Ilx8WAoOk4YBQQ44crc5U9fTxxYL+vpi9q+abserRgVTJl6OL4ppE7Gv7XGZyCith60ZC4sG+Jp8/+0YT3vw8R/A10FATgCsPvJA6xSHvTkHP0/trHc/3dacoWROgl0ssOmVCI3t/kkqwIctNCRUlNYKMfz7S5BInywAAYDoNWeQkF2J3a91xdbprVsl7YnPRfd1Z3E1oxy/z47GrtnRGBvhCsFTzIasHBWM+ysGYVF/P3x/Nk2n8uycWG+tkxg/T+2MPfE5RitqqouIOVtyUdUgIm/U2t73k2oqhLtbIrfiyZ1TKxtEcG+F10ZJrUK2XMXrvfXLZc/flYhVo4LBZdJx6VEZpm+LR0W9COYcJg7O746NkzXP8bbGzZqLP+Z0xeEFPXEjswLDv7+kdzLtadPZw4py3i3o64N6kYQUPxsb4UqZgPO25WPj5AjsvJqFyy0yeKPDXfDLpeaMx+L+fmTZzJQUVTdhg1KK/r3BATDnPFlw3c6T0R58/EeY2d0T3TvYoFEsxdv7bpM3f3V6+9tjbi9vnfuoFUrwVQvTpyEhTpiv5eK+5mgKvhoXqnU/D4vrMO6nq5Ap0+nfTQzHmHD96XFdjP/pKlYfSUZvf3vcWzGo1a//N6kAUavP4IsTqZgc7YabH/XH1umRGBPu8lhW7YboYMfH4QU9kbl2KKZ29UBprRA9Pz+Ln3U04E6IdNPaG7N9Rhf8lZjfqhuS+iihly0fmy9koLZJAm9bvlYHWEkrGlD5Wrw2LHksZJvAtr28TgRnS+MzHwAw4NuLZLnGwZxj0K/jrT9uY+Mr4RCwGYjPqsDQ9ZdwI6sCBEFgWCcnPPhsMJYO9n/s92Asa8eE4N6KQVj+Ukd8d/ohhn9/GQdvF7Ra+6Qt6eJpRRkvHhbihK7eNqTI3YhQZ4qrtQWXia0zuiC9rE6rmZ+bNQ9ZyvPE1oyFhf182uS41x57gHqRFOHulhgb4Wr4Be20Ke3Bx38EGo3Al+NCIWAzcCunCpvOp2vd7p2B/np9PDaeS8eNFuOA7w7yR6SHppnYO38m4fOxIVr3cyunCtO2xZOZlG8mhOlNj+tjy6VMdPjwKBpEEmStG4aPhgW2eh9JuVUYu+kq/D86jnv5NfhwWCASPxqAk4tjsXJUMF4KdcbjygwMCHLAsbdikLVuGM4s6Y1gFwtUN4qx9tgD9P7qvM7afd8Ae9zJr9YIDL4Y2wn/JhXgn6QCMGiE0WUjdWVPAYeBHVcUWQ8XK67WiYuiGuN7Cmg6GkRyTJD5KK0TwvcxvFo+OXSPPL+MuaG9uuMm1k8Kg7cdH0U1TZjw01V8dPAuKupF4LLomN/bB+lrhuLnqZ2N9roxRKibJTZP6Yw7ywci7v2+qGoQY8QPlzHr15sUvZTnhW7eNriRVUn594J+Ppi/KxESmRw9fGyQkF1JKdFuntIZZmyGVq+cjZMjyGwEAJxc3KtNJk+uZ5Tj0O0CEATw2Yhgk2uGtNN62qdd/mOohL4YNAJ/z++BEFdND4zcigb0++YCxfSsJTeW9acoPYokMvh9dEzrtuqCQS0Z3NERm6ZEkBecb049pFyMWsvOWVGI8bVDbZMYPdadfWKZ64V9fTCskzP8HMxAEIqx2vzKRmSW16OqQYRGkQwNIgnEUoWXjSWPCUsuU+FqqqWP4kFhDf68madTE0XFS6HOKK5ponhgAAo9i8p6EY7dKwKdRmDtmBAs3W+42TTAUQCCIMjmv2EhTjhytxAhLhYoqW1CcY0Q7tY8g8HCthmReHWHZs1eG1nrhuHtvbeNdvrVhTmHgfUTwzFzh8J0L8TFQkPCXRdv9fPF4gEKj6BzKSXkPvSxZVokjt0rJDNOAg4DM7t7YnK0BxzVSldSmRx38qpwv6AGFx+W4nJamc7+FiadQBdPa8T42iHMzRJ+DmawMWOjrE6IE/eLcOhWwWNpfDxNhndywmG1aaswN0v8+EoEpmy9jozSegQomzfVhcTWjQnB2M6uiPn8nEYwu3lKBOb9nkj+e9fsaPTwMa1pHAA0iqQYuuESMsvqMSnKHWvHaF8QtfPktI/atqMTuVyON3Yn4ujdIvjYm+Hwgp5aG7uO3S3E67sSteyhmbTVQ8BQk+6urBchfOUprdu+1c9Xp/X32AhXfD2+uUSz5WIGVh9tvRCZipc7u2LN6BBlk22J0U6xhvCy5WNMuAvC3C0R5KTQ+dC3SpPL5SirEyExpxLXMyoMBhwqFvX3xcZzaRq6G51cLcCi03AzuxIsOg3fTQzD/YJqbDynPYulTksXYgaNgEQmJ28oThYcDAtxMjhym/TJQIR+ZpxTcda6YXh50xWKuNTjcmJRLAZ916yu21LvRB/vDwkgyy6rjyRrWLZrY2iII8ZHuuGL46lIVgZsdBqBvgH2GBDogFg/O0ogYizVDWLcyKrAlfRyXEkveyamb4/DpCh37IlvblYPcBRg+8wueHP3LSRkV8LRnAMXKy6lHDMn1hsfDg3EO38mUaTSAcW48G9Xs5FXqZiUmd7NAytGBrfJsa88nIytlzPhYM7GycW9nriRuh3dtOb+/fzMGrbzVCAIAqtHheBGViXSSurw+fEUfPpSR43thoQ4aQj+tGTCz9dw4PXu5L+t+CycWdIL/b6+oLHtTxfTMaO7p1Y3zgOJeRBwGFg+QnEcr8V6w9GCgwWt0PFQZ39CHvYn5OHgGz3Q298eGWuG4u19t3HwtnYBNGPJLKvXqYdiL2BDDkAuB4QSKWofM+Py4dAArDmaovE4g0agoKoRZXUiCDgM/Dw1Eh42PMzXEyDaKlfWgOK7UUcik6Obtw15s3i9dweDI7HdvG1wLbNc7zYtaVlSsuAyH0vorbZJTDEs6+Vnp/X77Oljq9HQuO5YChqEEiwe4IelgwMQn1mBJANNukfvFuHo3SJ8ODQAc2K9sSc+B9czK3AquRinkosBKAT4fOwF8LE3g4sVF2ZsOrhMBthMGuqFEtQ0SlDTJEZBVSPSSurwqKROpxnj88ykKDdK4OFmzcXWGV3w3oG7SMiuhDmHAT9HAS4+bB5x7h/ogPcGB+CA8m9RnXB3S+RXNpKBh4DNwEdanLNNwY2s5qB/3ZhO7YHHc0R75uM/yrnUEsxUZgR0pTubxFKM2hind3W2enQwXon2oDx26VEppm6N19jW0ZyD3v52+OOGdhnvad08sGJERzKbkJBdibGbNOvErWFEqDPWjQ0Bj8VAVYMIozbGkc1tzxNDgh116nuo42bNxS/TusDPwQwztt/AhYfavWu+HheKJUqJaj6Ljtkx3hqZJ5UkuYM5Gxfe7YO3992m2Je35OySXvj5YobO768lCR/1R7d1ZynlO11qq8agnvZvuRJXR5fU/9SuHvjkpSA0iqUY+M3FVvW0jI90Rd8ABzworMGFh6VIyqt6bFVRWzMWRBKZyZxv25KJXdwo37etGQt/vd4Dnx9PwZG7heAy6RjWyYkSYAQ6mWP/vG7ILm/A0A2aYm3rJ4ZRxmrj3u8Ll1Y2FBtDg0iCoesVFhPjI13xxcvaG+DbMR3tImPtGKSPvz1eiXYHoGgM1bYa5TDp+GFyhE5XVABY9vc93MqhptVjfO0oTqAqimqacDu3SqcOyG9Xs/H2viSySbCzhxUuvmu8kJg2/kkqQNAnJ3D5URkseSycf7cPrrzf94n2aUpUUyLGBB6DOjrg8AKFIuOfN/N0Bh6AwrlVxfgubjh8h5olGBnmjAtK0715vTqAw6QbFK3ysuXjXKrx0zU3sio1+oa0ackYO0Yb4tLcn/SwuBYR7pZat9sWl4nXYrw0Ht95LRvTtsZDKpXj6FsxWrVNdLHvZh7m/Z6A9WcegUkn8PGwIHw8PAhLB/tjWjcPDAxyQIyvLTp7WKGjszmivazRN8AevfzsEOFuCS+lqBsAlNWJXojAY0IkNfAQcBj4Y043bDyXhiN3C8GkE5jS1Z0SeNgJ2Ng6PRJiqUxr4PHbq1GUwGPvnK5tEngAwBfHU5FV3gAnC06bZVbaeXzag4//MMuGBcLThofC6iZ8eki7uJWPvRk+f1l/g9boH69orGandfPEtG4eGtumFNWirE6IfgH2Wvf19618TN9+gxyTdLfhIenTgca8Hb1M2XodI364jOKaJjhbcpG1bhjOvdP7iff7pNQbIcDFY9GxYkRHbJ7SGRZcJu7mVWOpHkXT44ticCCx+YbQ1dsG6WpuowI2g8xA2AnYmBSlCEKLDAQfyYU1GgZ9+rRALqdpBkd0LVMGLc8TXZb1a481l6MSsivR09dO5+8+mVyMLp6aE1hXM8ox/PvLeFRci5Nvx2rdxhA3sirx2eFkrDycjC+Op+K3q9k4mVyMS4/KkJBdifsFNbieWYGzKSW48LAUiTlVj+2Q/KwY19kV+xKaAw8uk44/5nTFvpu52HszFzQCmN/bh2JGyGbQsGVaJGzN2Aj7TLP3a/OUCExT83L5ZHgQovUoKz8J1zLKyRLvurGd2jU9nkPag4//MDwWA99MCAONAA7eLsCh29qnEkaHu2JurG79DwDKyRJq9mTFiI4YpsXM7kp6ObgsutbxXEDhvTB0/SUIJYobswWXiYerhjxxvfZOXjWi15zB6iPJqBdK4GXLR9a6YbixrD9CtUz9PA8MCHLA6bd7YXp3TxAEgZKaJkzdptv4LMbXFgdvNWc5wt0tkdXixjcrxossWbw9wA8cJh1CiRTFBsoQ51I0sx7aggkVl7WYD2rbWj2jAeiXU1fPnND1NPtmlzegtFaoNWuXX9WICT9fw4bTj7BjZpTBc/u/xsudXXEgMY8sKzHpBH6fHYXzqaWkHs3bA/zw581cykjt1+NDEepqgdE/xmnsc1F/X0qjb98Ae8zs4dkmx18vlJATYJOi3NDLT3eQ2s6zoz34+I8T4W6FN/soNBA++OsuRRlSnaWDA9BXR7ZCRaflJyFWEy8jCALfTwpHlJe1xraH7xQiyNlcp15CanEtIledRoNIcXFjMWi4/ckADA15cofLLZcy0fHTE9h5NQsSqQx2AjYOvdkTaauH4I0++sWonhZhbpbYMbMLtkyLJAW2SmqaMP6nqxoy6+qsGhWMzReap19m9/TG9rgsyjZ1TRJUNojhY2+GcZ0VYkvZ5Q0GhazOagk+1G8+LdHWW6PtV3BbCJRVaHHmVaFexjl+v0jvDSyrvAEOFtqzKIBCWn3gtxcR6GSOP+d1e6rqts8rqjKK+rmwbUYXJBfW4ssTCoHB13t3wMHbBShQy5Qt7u+H4Z2c8cFfd3G/oIayzwh3S3CZdMokjPp4van5/HgKcioa4GLJxYdDW6/5087ToT34aAdv9fdDDx8bNIikmPt7AmqbNG9uKv+XDnZ8LXtoZuj6SxQJdhqNwO7Z0fDW8rrfrmYj1NVCZ9ahtkmCoE9OoFp5syUIAj++0hmrRplmJO/jQ/fhs+wY/k0qgEQqA4NOw7uDApC1bhguvNsbPXzaJiWsjx4+Ntgxswv+nt8dvf2bg728ygaM/+mq3mbZzVMisPFcGvlvL1s+rHhMSmPl95PCyXT0h0MDyFHpdDV7eF3c0uJM21rTN22ZiAaRFM6PMbb6oLDGoNhXbkWj3uxMflUjFu29jRX/3senL3XUaQvwX+DtAX6U6TY6jcD2mV1QUS/CJ8qy7LRuHjifWoo0tfPllWh3LOzng62XM7U2Iy8e4EcpmcV/2A9shul9WwDgSloZfruqkHX/fGwnCNrLLc8t7cFHO6DTCGyYGA4nCw4ySuuxdL9291sBh4ltM7qASdd9MX9UUofl/1AtzBl0Go69FaO1P+DXq9kIcrbQmh1REfrZSZTUNt9Ap3T1wIlFpnMdXbDnFnyWHcOOuEw0KnswPGz42DW7KxmIDAl+8oyLLuwFbCzq74tLS/tg1+yu6O1vT1kVXkkvQ7+vL+gNPAIcBbDms7HvZnOvx3uD/fGp2nfBYtDwx40cSGRy9AuwR98AB/I5dedRXZhiLo7NbL7kqM6HklohfBwez1306N1CvNpDs7lUHWMCpHv5NXjnzyRsj8vCG306YEZ3zzZrhHwe+WxkR3yjNkbOZtCwe3Y05HI5luxLglwOjAl3QVJuFeVcGRXmjJUjg3EquRgrD2tKpx94vRtl8u2v+d21iu+ZgjqhhOyFeiXaHT19TS9Y1o7paA8+2gEA2JixsfGVCDDpBI7dK8IvOoSYPGz4+HVmlN59/Xo1G/tarIDYDDril/XTuv2e+By4W/P03uCjVp+hlIT8HQW4/xheLvpY/m8yAj85js+Pp1AkzT1s+Ng0pTOy1g1DxpqhOPB6d4yJeDwvGhXDOjnhq3GhuPZBP8Qv649F/f3g1mLqo0ksxTcnUzF5y3UI9ajNAsCf87ph6f4k8t8R7pZwMOfgkdoKdckAP8SllYPFoOGTl6jd/4Z0L0wFW61nQ1VuKa5uMphR08WJ+8UYEOQAU2XwC6ubsPFcOnZcyQKPRUf/QHsEOpnD1kx3+eZF5/0hAfjkUHOQymfRsW9uNzRJZHj9d4Vs+qCODsipaKCcJwOCHPDluFDczqvCnJ0JGvvd81pXjN10lfz3x8ODEOHe+gZfY1l79AHyKhvhasXFB+3llueedp2Pdij8djULnxy6D7qyXKKrG33n1Sx8fOi+1udU/DGnK7q2eH11oxihK7QrZI4IdYaLFVen7wwAbJ0eiX6BzSt2uVyOTw7dpzho6oLPohs1XaLCx94Mbw/wQ98Ae4P23jVNYuRXNqJOKEFZrRBNEinkckW2iM+mQ8Bmwk7AhoM522CtWy6X4+KjMnx66J5RmiQJH/XHumMpFOfbY2/FYMj65lHHAEcBCqoaUdMkwbuD/PFGn2avE7lcDq8Pjhr8Paagl58dOSKsknOf1dMLXrZ8fHRQ+8SVIfoH2qO3v/1jv95YLHlM1DSKnyuTtydlbi9v/HSh2dTQisfEnjldkVXWgAV7EiGWyhHjawuRRIbralL/PXxssHV6FxRWN6HPV+c19rtlWiRWHk4m5fr7Bthj24wubfY+1LWFdr8Wje4d2rMez4J2nY92HpupXT0wKswZUpkcb+y+pXMCYmo3T0zp6q53XxN/vob0UmovgQWXiYSP+mvd/p+kAmSV1WOdHu+FWb/exIYzj8iyEEEQWDkqGHvndNV7LEDzWKuxUzNpJXWYvysRAR8fx8I9t3DpUSmaxNqDF3MOE4FO5ujiaY0hIU4YHe6KMRGuGBDkgO4dbBHiagFHC47ewEMqk+NUcjFG/XgF07fFGxV4XHy3Dw7fKaQEHov7++Hrk5pKrDVNEoS4WGhMd6QZ0e9hKtSnVbjKgK6opon0BXkcTj8ogbcd/7HGZltDVcP/T+Dhbs3D2AhXSuDhbMHBX/N7ILWoFm/sVgQeA4IUgb564BHubomfp0aiTijRGnisHh2MI3cKyMCDw6Thp6md2+y91DaJ8Z5yumVaN4/2wOMFoT34aIcCQRBYMyYE/g4ClNUJ8cauRMoEizqfvtQR3QzM6ff7+gLKW7iy2pixcfUD7UJfx+4V4WRyMbbP1L1K+ubUQ2UpojkQiPa2wa2PB2gVsWqJSlDNWHErQBEYTd0aj4CPj6Pf1+fxy6UMpBTVQKLjszEWiVSGWzmVWHk4GV1Wn8Zrv91EkpbGTm2cf6c3HhTVUPo6OntYwdWKi9MPisnHCEKhr8Ji0PDluE4UPx4A+N2IrJE6+ho4DcFXm2zhKPs/iqubEORs/tiuwYBC7G7tmBByn/rgMulg/IddTfsG2MPLlk/RgvGy5ePP17vjekY5Fu29DalMjpFhCifnS2oj04FO5tgxIwoEAXRbe0Zj37N6eqFBKKVI3195vx+YeoQKn5Q1Rx+goLoJ7tY8vDf4v9sw/KLRXnZpRyuZZfUY8f1l1AoleLWHl0aPgIrKehFGbowz6IaasnKwRukiu7wevb48r3X7Hj42WDooACM3amoGqBO/rB/sBc0NbHK5HFsvZ+p00W2JGZsBe3M2MkofXwSKRafhpVBndHQ2h7MlBzZmbNjwWQrjORCQyuWQyGRoEEpRUNWIvKpG5JQ34FZuJeLSWueVoiLx4wG4lVOJWb82O8w6mLPx0bAgnZ44q0YFY0pXTeE3z/ePtOp3x/jaUm5I6vg7CJCqxyNG3eCum7cNrmaUw17ARvyy/hj07UW9rzXE3F7eiPayNsp1l0WngUZTjO7+v2QzjGFBXx+cSy3BvfzmptEARwF+mxWFw0mF+EzZNDopyh2NIgkliPC25WPv3G6w4jHR/xvNBuhu3jaY3t0T835v7v84srAnOjq3nYbOhYelmK4ULts7p2ubiZa1YxztxnLtPDFetnx8NT4Uc3cmYFtcJiI8LDG8k6YsuhWfhV+mR2LED5fRJNadBQj4+DgerhpCyUx42PBx7p3eWlO3cWnl+EycjEtL+yDmi3M69xu1+gwOL+iJYKVQFUEQmB3jjZdCnRG9RnNl1pI6oQR1pRKYcxjwtOXjzmM0XoqkMhxIzMMB/SbAJiHIyRyH3uyBvxLz8N6Bu+TjHCYNU7t66Aw8hoU4kXL66hgz5aIOl0lHqKulzuCjh4+t3gDCVk29VKWrUVIrREW9CJGeVkYHH9072FAk5AHgpwsZ6Oplgw+GBFBGO7UhksoAqeIYpDI5RBIZJP/nUcjGyRFYe+wBaegGAKFulvh1Zhfsup5D6njM7umF+haBh7MFBztnR8PWjIXp229oBB42fBaWDPTDy5ubG0y/nxTepoFHTZMY7yunW2Z092wPPF4w2ssu7ehkUEdH0op86f47OgXI/BwE2Dg5wuD+/D46plGm8LLl6/RaSciuxLRt8bj8nn5/l+HfX8beG1STMQdzDjLXDsU7A/0MHheg6Ie4k1cNAZtBCm89b/wyLRIH3+iBdcdSKIEHk05gYhd3fKWlzwNQrGw/f7mT1n6TYVr8N/TRw8cGYpnuILNbB/03APWpkYp6EVn6elBYo9GcrI8r6eVaJ47e+uMWBgc74vXexonF1TZJ0CCSgiAUzZbGlO1eRLZOj8SHf9+lBB7DQpzwx2td8fPFDDLwWNDXB3VCCUU23daMjV2vdYWzBQdL99+huNeq2DkrmhJ4LOzni5d0eDiZilWHk1FY3QRPGx6WDvZv09/Vjun5//xLa8dkvDPQD928FQJk835P0Klo2S/QAe8PMVxvjVh5SkN3wdmSi5s6mlAzy+ox4JuLBnU93jtwF5O3XKMcH0EQeLOvL659oH3EVxu1QgnZvDk+0tVgT8vTYFxnV6SuGgwnSw5GbozD1svNY9B8Fh3h7lakcFhLbM0UmSltGivJBTWtLjn09rdHk56JoShP3XotquNRkVPRgEAnRaNpa4MPABBKZAhtITJW0yTBtG3xmNHdkwycjUEslaOyQQyRRAYaoSjHPUlvy/PCkGBHLBsaiFm/3qSYRy7s64MNk8Lx+fEU/KicLntnoB/SSuooQmEWXCZ2zoqCpw0Pnxy6T2lsVnFiUSzFRG5MhAsW9/dtw3elkPrfdzMPBAF8OS4UPFZ7Ev9Foz34aEcvDDoN308Oh6M5B+ml9XhPhwAZAMyN9cbELm5691fTJMGg7y5C1uKuZ2vGRtIn2g3kGsVSDPruIn6fFa3Xg+VKejmCPz2BO3lVlMcdLRRZkPUTw/QeW0v23czD1YxydPW2xrKhgejj/3Q9IiZHu+PBZ4Px3pAArDuWgmEbLlPKJHwWHXYCNuLVJhHUMWMzsHV6F7haaTbWyuVyTNpyrdXH1CfAHg16gg8mg4A1n6XzeXUJ85JaIbxszQAoTOvsBGzK92trxtabiThypxDvDPTTMKLLLm/A1K3X8VqMl1Z3ZUPI5IpyXGvVW02JKTIw68aEgEYjsPootf/puwlheLOvL5buv0MGre8PCcC1jAqKu7KtGRt753ZFoJM5Vh95oHWc/d83e2Lc5ivkvzt7WOHLl0PbTDodAKobxHj/L0W5ZVYPL3QxEPC283zSHny0YxBbNQGyI3cLKStvdQiCwOrRIRjcUb8aaFpJHSZtuaYRxFjwmLi/YpBOp9QpW6/jlWgPfPFyJ737H/FDHL4/84gS4BAEgZFhLkhdNRgjWpkOvpZRgdVHH+BcaimGBDti+UtBWNzfjxwVNSWeNjz8Oa8bMtcOxbzYDlh/5hFivzin4c8CKEaHdY3j8lh07JjZRSMzoOLwnULKStgY/B0EcLHkolHHuDEA1DRK4GalWxnUgksNTFTBSLLSD6S/moZLWZ0QgwycS1O3xuPfN3tqjE8/LK7DsA2X0dPHFrtnR8PB/MUQCXNSysyLDIjKGWLHzC7YejkTR+4Uko/Z8Fk48Hp39PKzw5St13EgMQ80AvhoWCCO3yvC5bTmPh4XSy7+nNcNAY7m+OJ4CtkkrM7vs6Lx2eH7qGlSZBsteUzsmh3d5hmjFYfvo7hGCG9bPt4Z1F5ueVFpDz7aMYrOHlb4aJhi4mXtsRSdq206jcD6SWEGfVGuZ1Zgzs4EjQCEz2bg5kf9dUpbLz1wBznlDTj/Tm+9+//61ENErz2D0lrqmC+bQceGSeGIX9aPvNC3hmP3irD832R8e/ohIj2t8O4gf2ybEYlfpkViSld3nXbwuohwt8TKUcGIX9YPWeuGYc+crsgsrceUrdcR++U5bL6QrjfToA0Bh4HtM7ogUseKsLJepLMxVR99lMaCjXqOp04ohqueEWYGjaCUXlTBR2pxLaobxBjSwjjQ1owFTxvN/akHqF3XnsHpt3tp+MMU1TSh79cXIJHJcfytWJOYErYF6iPfhdX6nYUNEelhhe8nhePN3bco6rb+DgIcerMHrHhMjP4xDvGZFTBjM7BuTCfsvZGL22rj3V62fOyb1w1etnx8e+ohWZZRZ/OUCJxMLsKNrGazuItL+xgU43tSTicX46/EfNCU5Za2/n3ttB3to7btGI1cLseivbdx6HYB7ARs/PNmDzhZaA8S6oQSvLLlmkHZ7tHhLvhmvGaaViyVYeLP1yhOmOqMCHXG2jEh6PjpCYPH/dPUzjpX0Em5VQbHeY0l1NUCQc4W8LDhwd1a8Z+zJRc8lkJXQqWvIZHKUCeUoKZRgqzyejwqqUNaSR1uZlVQbhiPg5MFBztmRsFfj2jX/F0JOHq3SOtzYyJc8Fdivtbn9s/rhkhPa4zddEXn93J4QU/8e6eAIl6lzl/zu2Pd0RTEZymC1/m9O+D4/SJklNZjy7RIDAhywEvfX8bdfMV5Y81n4ZvxoZix/YbGvngsOhmYMWgEbn0yAK//nkhZwauY0d0T7w8JwM2sSqw6koyUoscf6TUVEyLdsPemphGbOq1R5d02IxI3syo1goW+AfbYMCkcd/Kq8PrviahuFMPFkotPXgrCZ/8mI7+quQk1wFGAnbOiYSdg44ezj7Q2MW+cHIH8qgasOUo1i2srzxYVBVWNGLbhEiobxJgT693uWPsc0j5q206bQBAE1o4JQUphLVKLazFz+w2lFbmmYqgZm4EdM6Mw7qerehU0/76VDx6LjtWjqaqmTDoNf87thoV/3MJhtdSxin+SCpBdXo/Ejwfgpe8vUy6gLZm7MwGhbpb4eWpnOLS4QIa6WSJr3TAkZFdi7KYrOvZgHEl51TqDLYJoVvRsbSbDWDp7WGHj5Ag46snoHLqdrzPwoBG67ewdzTmkL0dL0Th1hBIp3LT0mKgoqRGigz2fDD7u5FWjq7cNMkrrcflRKQYEOWBMhAsZfFTUi5Bf1Yg5sd74+SI1oJHJ5eAwaWgSK8ZkY784hwtL++CnC+nYeI56A95xJQs7rmRh85QIHFkYg8N3CrA9Louy4n8aDAxyQINIistpZXoDD1szFsrqREYFHnYCNva8Fo1PDt3XGD+e16sD3h3kjwMJefjw77uQyOQIc7PE4gF+WLLvNsrqmr/vMDdL7JjZBZY8FjaeS9MaeHw/KRxVjSJK4HHund5tHniIpTK8uTsRlQ1ihLhYYImRU2ztPL+0l13aaRU8FgNbZ0TCTsBGSlEt5utRQLXis7BzVpRBd9Bd13Ow4l9NnxgajcD3k8KxsJ/2zvmkvGpErzmNDZPCsWFSuN7fkZRbheg1Z7DzapZGsyuguHFnrRuGwwt6tsm4pVyuCDr+1959xzV1tQEc/yWMsEE2yJAhIqIIuDfubdVardVaq93Wtnbb9lXbqrV7OrqsdteqndpWrXuLe6Oyp+wdILnvH5FISBgqELDn+/n4eV+SCzmXS3OfnPOc52mswOORAQH88GCPWgOPuMwinvjheI3P//hQT/YamDUATSM8+bW1/KxCwwEKQGm5Wq9BXlUZBaUEuNhovz6ZlEv/IE0i778XMpAkiQnhXjr5NJ/uusITg9piWy0XqLRcTRun6w3pcorL6bTwH6Z29+Wnh3oafP2HvzlKwPxNWJiZsP6RXmx8tBfTevjg3kg3z3ZutjzUz595QzQ3y3/OphucmalUuQSTWcvvuKo37+zEiyOCGb98n07g4WRtzlczu/LcsHa8+fd5nlt/kgq1xOhOHjw9NIg53x7VeY2e/k58M7u7NvCo3Hpb1QdTOlOhVvPSxus9dH59rDd+zjfXFPBGvPX3BY4m5GJrYconUyNQmIrllpZOBB/CDfNqZcWXM7piaWbC7phMXtp4qsYdMB72lnw9q1utOyAAVu+NMxiAyGQy5g0JYvk9huuIlKskJq7Yx9UCJafr0eX2lV/PELLgLy7WULMktLU9F18fwdZ5/evcNtoc+Dlb8+ODPXh+eHCtJazzS8t1tkNW19nbgcsZhZSrDF/H0Z08AE2n3YIatltXPl9bwmlGvpK2bteXhPJLK/BuZYW5qZzE7BIuphdib2WmU8MjPquYjceS2fREX72fdz6tgEHBrjpJjr3f+Jfc4jJOLhxKpK/hfi8PfR1NwPxNbDiazH29/Nj/4kB+m9Ob54a3Y1RHD3wN5JnUxcfRipEd3XlueDs+mNKZkR3duZBewKpdV3Ta1RvS+VpicF2VgqvaOq8//57LYN5PJygovX5Nevg7sumJvnTzc+SRb6O1S2BzBwYyuL0bs9cc0bmGA4NdWT2zKzYK0xoDj3fvCsPMRM5TP17vnLzm/m41JjQ3pC1n07WzXm/dGYbPTVwbofkROR/CTdt2Lp0H1h5BLWnatT9ewwwFwOnkPO5atb/OT/4TIlrzziTDW/VOJeUx5uM9NX7viFB3lt3ZiYfWRrP/St1ly+/r1YbnhrertUZAabmKbw7E17tce1N6fngws/r41TlTU65SM/2Lgxy4YjhJGOD4/4bw4Npo7XJIVa0dLNnzfBQymYzk3BJ6v/FvjT9n+T0RDAx2JfiVvww+PynSi5dHh9D51X+ofOd5Z1IYm0+nsvVcBo8PDOTpoe24fLWQIe/u1NYhcbFVsP2ZARyOy2amgfyPUZ08OBKXTXr+9SWhqd19eH54MLGZRdxRz7ye54cHM6i9KwEuNpSWq8goUJJZqORqgZLC0grkchlyGchlMmwUprjZWWBuKudsah4Lfzt7QzuIAl1tsDCT65Q6r4+P7g7HwsyEFzec1JsheWpwEHMGBhKfVcRj3x3jXGo+5iZylk7oSExGISt36i5Hje7kwXuTO2NmIufDbTEGg6S37uxEKytzZq+9Xrb+vclhjA9v/GJ8idnFjPpwN/mltbd5EJqHG7l/i+BDuCVfH4jnlWutzN+9K4wJETW/IR24ksW0zw/qlbFWmMpRVtla2NPfiW9nd9dO81eVnl9aa9l0D3sLPp/RBbWaWgOVqhaPD2VyF2+9hmvVXcoo4P2tMQZzUJrSM0ODuLdXG+wM5NpUp1JLzP3hmM6Wy+r+NzqE3oHODHt/l8HnHxkQoG3YFR2fzcQV+w0eB9f/Brov2aoTCFTqFeDEdw/00OnjMibMkyEhbsz9/hg+jlbsfHaAZsbrx+NsOHY9+XVm7zYsGNOhxk/nY8I8KVJW8O/5DO1jZiYyXhsXyqQu3uyKuWowcGlKbZys6OjlwN9n0m54O+2YME8Wjglh2V/n+emIbrEvNzsFH0wJp4e/E78eT2b+hlMUlalwsjbn7bvC+GZ/PNuq/F5A8/t8eVQIchnM33ia7w/pVgkGTa0Qd3sLnYTfl0a254FqnZEbQ1mFmkkr93EiKY8wbwfWPdTztq1Ae7u4kfu3uJLCLZnew1fbov359SfZV8t6dg9/J1ZO02+traxQ62x73X8li6h3dhjMJXGzs+Dcq8MJ8TD8h52aV8qoD/dwNjWPK0tG1uscXtp4msCXNvPX6dQal48AAl1t+XhqBHFvjGL7MwO4r1ebev38hhDsbsv7kztz7tXhzBnYtt6Bx4sbTtYaeIDmJvT1gTiDz8lkcHfX6z1h4muoK1Kpsr9PTUmnlQ38Iqosh+y8kEFUOxeszE1IyC7WztDMHdRWp/vsmn1xHEvI4bGoQEZ19ND72b+fSCHlWnJqpXKVxAsbTjHkvZ1cLVBql9RupKPxreraphUze7chwseBuKxifj+RcsOBx94XBjIi1J0xH+3RCzwGtHNh09y+dPZ24MUNJ3nih+MUlano7ufIimmRLP7znE7gYSqXsWR8RxaM6YBakrhv9WGDgcfi8aH4OFrpBB4P9fdvksADNN1qTyTlYW9pxidTw0XgcZsRMx/CLVOrJR6/9una1sKU9Y/0Isit5q2eG44mMe+nE3qP+zpZ6dzczE3knFgwFEtz/eQytVri9T/P8eVewwXPQLOEs2hsBw5eydaZMq6NuYmcr2d1u6EmVXkl5RxPzOXn6CR+P5FS9zfUU9+2zowN86RvW5daE0kNKS1XMee7o2w9l1HrcftfHIipXE6fZf/qzD5V6h/kwpr7u2m/fm/LRT7YFlPjz1s0tgMzerXhqR+Ps/GY4S27ZxYNY/PpNJ5Zd/1v4KeHevLL8WS+O5jAqE4e2l5BSzedY1WVXS4+jlb8ObcPthZmTP3sgN7ujkqLx4eyfPtlvV1QrrYKJkR4Ma6zJ8HuthyJz2Hxn+cadNdL37bO9PB3Qlmu4p+z6be0rXfltEgCXa1Z8NsZvQ7IdhamvDwqhEldvLh8tYg53x3lfFoBMhnMiQqkSxtH5n5/TGcpyN7SjBX3RNAr0JkiZQXjl+/lYrr+brTXxnWgnbsdd626Psv1UD9/XhgR3KjVSyttPpXKI99qOjV+MaMLg6oUnxOaL7HsIjS50nIV0784yOG4HFo7WLLx0V61br/7en8cr/yqn2DaxslKr2rnif8Nxd7K8Cf9306kMLeWgll2FqZ8PDWCvm2d8XtxUz3PRlPV9c07OzIgyNXg8k9t1GqJlLwSErNLuJJZyKmkPE4m5ZGYU6yTGAiaWhVt3Wxp725LiKcdAS42BLra4GqruOk3+bS8UmZ+dbjOjrUrp0UwPNSDpZvP1ViXo7L2RqUnfzim0+20uoVjQrivtx/v/HOBj/69ZPCYPx7XVCSt2q344f4BjA3zZOSHuzGVy9j5XBStHSwpVFYw6J0dOks4ozt58NHd4chkMmauPsT2C/qNzkDTFt7FVsGHNQRLga429Al0ppufI13bOOJiqyAtr5S/Tqey93IWZ1Pya9zC3drBkhBPO7r4tsLH0Qq5XMbJpFyOxOUQHZ9zyx1yX7sjlHGdPfloWwyr98bp/bwRoe4sGtsBVzsLfjmWzPyNpyguU+FsY877k8O5lFHAa3+e0ykR7+9szeczuuDvYkNWoZKot3doq5NWtWBMCGHeDkxYfn3r+cP9A3h+eLsmCTzis4oY/eEeCpQVPNTPnxdFPY8WQwQfglHkFJUxccU+rmQWEdrajh8f7Il1DaXSAX48nKDTnbWSrcJUb0fFwfmD9Gp0VDqbkl/rTg6AKV29eWlUe9LzlQx+d2c9zua6NyZ05I7w1i2imuLOi1eZ8eWhOo/rHejEt7N7kJJbQtTbOwzOerR2sGTXc1E6O0nGL9/LsYRcvWNN5DJUaon/jQ7h/j5+/HQ4keeutTuv7oMpnRnXuTXD39+lnRXwc7bm36f7M/Wzg+y/ksV9vdqwcKymL8v28xnM/Eo3V+OJQW156tr21TerNEcz5Nlh7bhaoOTbg/E17uYBTVdbXydr2jhZ4WZvgZWZKVbmJliam1ChUlNUpqJQWUGRsoLUvFLiMouIzy6+5VLoVS0YE8K9Pdvw+4kUlmw6R0a1Cr0utgpeG9eB4aEeFJdVsOi3s9p6IT39nXjzzk4s33FJpystaK738qmR2FuZkZBVTL+3tmPIO5PCaOduy+iPrudLPToggOeG1900siGUlquYuGIfZ1Ly6eLbiu8f7FHrLi6heRHBh2A08VlFTFi+j6yiMqLaufDZvV1qTeT89XhyrbUnqtr+zIAaawoUKSt44odjtS4zuNgqeGdSGP2CXHhxwymD69y1mTswkKndfW94CaQp5BaXsWTTOb18gJpcWTISuVw/qbOq54cH67SmV6slwhb9Y3CrrZ+zNbGZRbw8qj2z+/qz73ImUz87aPDnPtw/gBdGBPPuPxf4sMrsyPpHelFaruKezw+iMJWz89ko7e/65V9O8c0B3ev1xoSOTOmmyUcxFKBU90BfPxyszPnjZGqds0K3ylQuu6HZj5dGtuf+Pn7suniV97deNFisbnIXb+aPbI+9lRn7LmXywoZTJGQXI5NpgrERoR48+eNxvXO7p7sPC8d2wMxEzunkPJ3AoqrVM7viZG3O2I+v7wx6LCqAZ4c1TeAB16+zo7U5f87tU2MFZaF5EgmngtH4Ommmdi3M5Gy/cJUFv52pNYlzXOfWrKihhkd1UW/v4HSy4Qqi1gpTPp/RlXcmhdX4/VcLlNz75SFeWH+S+SODOf/a8Hq9bqUP/71Ej6XbGP7+LtZHJ1FUS72LpqKsULF2fxydX91S78Dj/GvDkctl7LuUWWPgYW9pxrQePjqPJeYU11jjo3oCZ21VTo8nakqzD61W8n7dkUR6BTjRtU0rlBVq3vnn+o6Wl0eF0LG1bkfjFzac4tuDmk6rUcGunFxouCtypc92x/LW3xe4crWQOVGBPD0kiH5BLjjUsKR3I7wddW+S9Q08Pru3C1eWjKStmw0TV+xj5leH9QKPdm62fDe7O8vu7IRMDi9uOMnUzw+SkF2Mp70F387qjqutBeM+0e16LJdplsFevyMUMxM5e2Iyaww8fnmsN+Ymcp3AY05UYJMGHr8eT9YGmO/eFSYCj9ucmPkQGsXfZ9J4+JtoJEnTrvvh/gG1Hv/v+XRmrzlCfd6zP50eqXfjqurK1UIGvlP70oq9pRlLJ3RkRKg7KXmltdauqM3g9q5M6epDzwCnWpeYGlpeSTkbjyaxZNN5ymqoMGvI6Wtdg4vLKhj+/u4ai1o9ObgtTw7WLWH958lUHvvuqMHjJ4S3ZsOxZOaPDObBfgFUqNQEvrTZ4LFW5iacWjgMuQz6LNuuzauwMJNz4MVBxGYWMX75PmQyTQXNTl4OAKTmlTDmo71kVivv/tTgIB4fGKjNzflyTyyv/nG23r8TW4Up3f0dcbe3QGFqgkotcbVASYGyArVaQqWWUEkSpnIZkgRZRUrism5+uaVPoDNvTOxIawdLdsdk8t7WiwaXslxtFTw9NIg7I70xkcvYdi6dlzaeJi1f03xueg9fHurvz+t/nOOvM7ol851tFLw/uTN92joD8HN0kk6Cb1X/Pt1fW624UtVlraZw+WohYz/aQ1GZijlRgaJbbQslll2EZqHqTeD9yZ25I7x1rcfviclk1prDBvMPqpvdx4+XRrWvMQGutFzF/A2navxkX6m7nyP/GxNCB0/7W24y187NljvCW9MvyJkQD7sGT84rLVdxKDabjceSa9xJUpszi4ZhrTBFkiSeWXeS9UcNz5Q4WZuz87konc6xAMv+Os+KGnIrJkZ4sf5okk6gWVOtD4DNT/SlvYedXrJr5VLPEz8c49fjKbT3sOO3Ob216/6nk/OY+tkBvUTJEaHuvDUpTDtmZYWKp386YfSaLJVM5DLenNiJ0WEeSJImkFt7IJ4TBnbZWJmb8FC/AB7o54eVuSnZRWUs+v0Mv15L9G3jZMUbEzsB8NSPx/U64fZt68w7d4XhamtBhUrN/I2napwVOzR/EFuuBTWV6vNhoSGVlKkYv3wv59MK6O7nyLezu9dZc0donkTwITQbr/5+li/3xiKXwUd3RzCqk359hqoOxWYzc/Uhgw21AlysuXytTgRo8gw2ze1rcCtupb/PpPHQ19F1jvPubt48PbQdzjYKtl/IaJBiVB087eju50QHTzs6tLbDu5VVvWdHJEkio0DJudR8zqcVsO9yFrsuGt7VUR8xi0dob+A/HErghQ36ib6VXh3XgXt7ttF7fNrnBw32Jekf5IKrrYJ10Uk8N7wdjw4IBODuTw/UWGl28fhQ7unuqzdL5WRtzu7noyguUzHk3Z3kFJfrzcIcT8xl2ucHKay2BNTawZI37+xE70Bn7WMlZSo+/DemxqCpMZnKZbx5ZydGhHpgaW5CYnYx3x5M4KcjiQYb+MllMLmrN08NDsLVzgK1WmLjsWSWbDpHVlEZchnM7uvP3EFtrzXPu6QzU2gi17QieKR/AHK5jMxCJeM+3mtwx047N1vWPdKTr/bG6VQ1XTAmhJm9/Rrl91GT538+yY9HEnG2MWfT3L6N3qROaDwi+BCaDbVa4vn1J1kXnYSJXMYnUyMYHlrzkgnAsYQcZnx5yOA2wHGdPbWfACvtfWFgrc3rsgqVPPvzSZ3Kl4aYyGW8MDyYGb3aYG4q58CVLKZ8eqDW77kZJnIZIR52eDpYYCqXI5fLMJXLKC6rIKNASUx6od6N9WZ52Fuw74WB2lmYXRevcv9Xh2vMSWjvYcfvc3rrffJUVqho97Lhkukze7ehWKnixyOJPDusHY9FaYKP534+UeMn7uEd3Fk5XVNwrnqQUrl0U5mMLJfBN7O70yvgelBxOjmPWWsOG5xZmRDRmqeHttP5m5AkiZNJebz593m9ehkNaUpXbyZEeBHmbY/C1ITSchU7LmTwc3QS285nYOjd1sxExoRwLx7s769tunfgShaL/zyn7e7bzs2WN+/shMJMzgvrT+nVJfG0t+DDu8Ppcq0f0cmkXJ38jaqGhrjx4d3hvPbHWb49eD2J9/U7QpnWw7cBfgv1tz46iafXnUAmg29mddcJHIWWRwQfQrOiUks8u+4EG44lY2YiY+W0yDqLBp1OzmP6FwfJKdbvlXFfrzZ8tS9O57GfHupJN7/aG8HVZ0cEaD5BPzGoLeMjWmNmIicjv5RutZR0b65W3BPBiCqVQI8l5DDt84O1tmnf8GgvInz0m7HVFoj9b3QIMRkFfH8okWeGBjFnoKbHz0fbYninhoZqClM5pxYOw9xUzr/n07n/q+tF4GwtTNnxzACcbBQ8u+4E66KTcLYxZ+OjvXU65qbmlTDrqyOcNbBzxdxUzrTuvszs3Uavy64kSaTmlXIoNpvvDiVwKLbmnje1GdzelcHt3ejgaU97D1ttwFZSpgk4/jyVyr/nM2rsZ2RtbsI9PXy5v7efdldPbGYRb2w+x99n0gGwUZjyWFQg9/TwYcWOy3y264pe4DgkxI237uyEg5WmeeO6I4k8+7Phbc4zevoyf1R7Hv46Wqc+ytuTwrgzsvF7tVQVk17A2I/3UlKuMphjJLQ8IvgQmh2VWuLJH4/z+4kUzE3kfHpvJAPaudb6PRfTC5j2+UG9WgcAY8M8+a1aNdGalguqKlRW8L9fT7PhaN05E60dLHlkQACTunihMDWhXKVm9poj7LyF5Y+mcvH1ETrlqPdfzmL2msO1Bh4P9vNnfg0FnWorGvb1rG78djxFb9mlrm3U383uTq9AZ9RqieEf7NKptHl3Nx+WTuhISZmKCSv2cS41nwAXa9Y/0kt7kwXNjMybf13giz2GK93KZBDVzpVJkV70C3KpddlLrZbILFJSpFRRrlJTVqGmQi1hozDBztIMe0szg63c1WqJ82kFHIzN4sCVLHbHZNbaQNHZxpyZvf2Y1t1XWzwvt7iMD7dd4usDcZSrJOQyTWO8JwcHcS41n5c2ntZLDjY3kTN/pGamTiaTUVah5n+/nuaHw4mGXpYFY0KY3NWbcR/vJSbj+u/6m1ndtYmpTaVIWcG4T/ZyKaOQPoHOrLm/m049GaFlEsGH0CxVqNQ8/v0xNp9Ow9xUzpczutb5ppecW8Ksrw4bLFHt7WhJYrbuenbfts58MaNrnX0gouNzmLhiX63HVHKzU/BQvwDu7uajzS+JzSwi6u0d9fr+pvTPU/30Stv/ciyZ59efrDWRt72HHb881svgzRVg1Ie7OZNiuDbGoZcG8cam82w4lqzTdOxcaj4jPtAUf3O2MdfrwDq7jx8vj9Z0Kf3rdCoPf6O7k6YyOEnLK2XC8r2k5JXSycuetfd30wlAAPZeyuR/v57WyQmqztxUTu8AJ3oGONGxtQOhre2wrUePnKoqVGoSsouJySjkUkYhxxNzORSbXWc3W7kMBrRz5a4uXgwMdtP+feYWl7FmXzxf7o3V/owB7VyYP7I9jtbmvP7HWYMVZcO8HVg2sSPB7pr3yIyCUkZ/uMdgoA7ww4M9CHa3pdvibTq7oyoTf5uSWi3x8DfR/HM2HVdbBZue6IuzjaJJxyA0DhF8CM1WuUrNo98eZcvZdCzM5Ky+rxs9A2rvo1JQWs7j3x9jRw1ltEM87PSm3nc/F6U33V6dskLFZ7uu8PY/hpcGqmtlZcbU7j5M6eqj87NrK6jVVLbO60+gq43OY8oKFUs3nddboqrO0syEP+f2wd/FxuDzdXUSjl06krk/aGa1KiucgqYradDLmu22pnIZthamOstoLrYKDrw4CBO5DEmSuGP5Pp3dH16tLPlzbl/sLc24mF7AlE8PkF1URjs3W76e1U0vMbFcpWbNvjg+2X7J4HJddTIZeNpb4m5vgbudBS62ChRmckxkMkzkMtSSRG5xObnF5WQXlZFZqCQ+q/iGtjYHuFgzqYs3E8Jb64w3I7+Uz/fE8u2BeO1sVJCbDS+NCqFPoDM/RyeydPN5cqudh6WZCU8PDWJmbz/tTMGemEymfWH478/FVsGvj/WmuEylV9l3/4sDjVJLo7Jfj7mJnO8e6K7NUxFaPhF8CM2askKlXXO2Mjdhzf3d6FrHG1CFSs2rf5xl7f54g8/P7N2G1XvjdB57Z1IYE+uxjn21QMmyv87zc3T9inSBZofH1O4+DAp21UnOzCsu58kfj9XYb6QhTevhw6tjQw32njmakMNzP5/kUoZ+07DqVs/sSlQtS2Cf777C63+eM/hcT38nvn+wB498E83m02m8Nq4D06ssfUW+toWsazs7RnZ0Z9Mp3XoUa+7vRv8gF0CTkzJhxT6dpMzB7d34dHokcrmMmPQC7rm2DOdmp2DFtEiD+SklZSp+jk7ks92xNdYxaSwyGXTycmBQsCsDg13p4Km75Tohq5iVuy7z85EkbRAT7G7Lo1GBjAx1Z8+lTN7YfN7gTF+fQGeWjO+Ij5Mm8C0tV7Ho97M1VuqdEN6aJRM6su9ypk5OjZudgq3z+t/wrE9DqLrTqrLMvnD7EMGH0OyVlqt4YO0RdsdkYm1uwtpZ3Yn01b+RVCVJEqv3xtVYQOrJwW15f6tuE7FwHwfW3t+tXm+0lzIKePqnEwZLW9fEzU7BpEhvRnR0N1jbo7isgu8PJfLaDRS9qomtwpQV0yLpHehUYw2RxOxiPtgWw/qjSQZ3VlS3ZHxHpnb3qfWYQe/sqHE54/7efvxvTAiz1xxh67l0lk7oyN3drv+8ynodAI8MCNDb8jqqowefVKlwO3/jKb47qHsznTuoLfOuFbxKyCpm1prDxGQUYmYi49lh7ZjVx99gvoBaLXEkPoffTiSz6VSawe2tDaG1gyWdfRwYEOTCgHauuNjqLiFUqNTsirnKD4cS2XouXbs9NtK3FY9FBRDVzpWTSXm8sfm8wa3JdhamvDw6hEmRXtrrfjo5jzEf76nxGr82rgPTeviyfMdl3vr7eqXYgcGurJoeaZR+KXsvZTLjy0NUqKUmL2ImNA0RfAgtQmm5ivu/Osy+y1nYKkz59oHu2mqWtdl6Np25PxwzmNQ3ItSd0yl5erkg6x/pVWdwU2n/5Swe++7oDd+svFpZMryDO8ND3YnwaVVrN1xJksgrKScxu4Tk3GLySyooVFZgYWZCG2crAl1taGVlXu+bxJmUPL45EM/P0Um1Nk+rqnJLa23qqhb70d3hjAnz5L7Vh9hx4Spv3dmJSV28tc9XnTX53+gQg4Hj0VeG4GityeEoVFYw8gP9yquv3RHK9GvbQAuVFTy77gSbT2tmUcK8HVgyPpQOnrrl16tSqyUupBdwKDabQ7HZXEgvIOEGl1AszOR4tbLCu5Uloa3tCfNyoJO3Pa62hutSJGYX89ORRNYdSdJWJQXoF+TCYwMC6ObnSHxWMW/9c4E/ayiGNrKjOwvHdtC+hkotsWrXZd7864LB4wHWPdyTUE97nvjhGP+cTdc+PicqkKeHBjVJZ9rqLmUUMn75XgpKKxgb5skHUzobZRxC4xLBh9BiFJdVcN/qwxyKzcbOwpTvHuhBaOuabyKVaqvzAPDc8HZ6b9CPRQUwb0i7emXVq9USf59JY9HvZ3VuHPXlbKOgh78j3fwc6eLrSDt32wbP5k/IKmbruXR+P5lisDx3bepb06F6BdLqKnNrKguQVa9kGx2fzcQV+wHN7o2cojJt0FDp6SFBPD6orc733LXqACq1hMJUjrJCjUwGr467HoBIksRPRxJ5/Y9z2n4z4zp7Mm9IEL5OhpsPVqdSS6TmlZCSW0qRskLbsVYlSZputmYmWJiZYG9phrejFU7W5nXeMNPzS9lyNp2/Tqex93KmdmailZUZEyK8mNzVmyA3W65cLeSz3bGsO5JosOZKx9b2zB/ZXicfKjG7mJlfHa5xKS3Y3ZavZnZDJUmM/GC3ThKsMbbSVsouKuOOT/aSkF1MpG8rvp3dvUV0iBZunAg+hBalUFnBjC8PER2fg4OVGV/f352OXnUHILXVeQBYOqEjLxqo5Lnn+Si8aml8VpUkSey/VvCppt0e9WFrYUq4TyuCXG3wd7HB38WaABcbnG3qvqFVzpLEZxVzKjmPU0l5RCfk1Cufw5Dq9T9qUlKmov3/rhcWmzckSKcappO1OUdeHoxMJmPyqv0cjM3m46nhjO7kqT2mtFxF8Cuan2FtbsLHUyMM1lo5++owrMyvb4P9en8cr/x6BpkMHK3MtXkj84Zo+rhU/s5S80pY/Oc5bRl1mQwGBbsyrYcvfdu6NPr2TUnSzKhsOZPO1nPpekt2fds6M7mrN0NC3FCYmhAdn82qnVfYci7d4JKJp70Fzw0PZmyYp3bmTJIkfo5OqrF2B2ja3j85OIhjCTlMrlaP5dvZxivepaxQMe3zgxyOy8Hb0ZJfHu2Nk9jZctsSwYfQ4hSUljP9i0McT8zF2tyEVdO71Kv2QJGygid/PM6WKtPLVQ3r4EahskKvquWzw9rxUD//G+ohcTo5jw+2xdT4WjfD3ESOvZWmhoSDpRmW5pp6IhUqiXK1RF5xGal5pfXqd1OXABdrVk2PJNDVtu6D0W/QFuHjwNEqMyxDQtz47N4uAExYvpejCbmsnBapV8G29xv/akt8H31lCMPf36W3JbRqZVTQ3HAX/HaGtfvjMZHL8He21tamGNbBjbcnhenk8ZxOzuPtfy7o7IhytjFnULAbQ0Lc6NrGUVtT41aUlqs4lZxHdHwO0fE5HI3P0QZGoAl+Ons7MLi9G2PDPPF2tEKllthyNp1Pd13W+f1VZaMw5dGoAO7v7aczKxCTXsDstUeIz6o5cbaywF5lwFbJxVbBL4/1rrX6b2OSJIl5P51g47FkbC1M2fBIL9q61e9vT2iZRPAhtEgFpeU89HU0+y5nYWYi473JnXU+RddEkiQ+3x3LG3+dR1VD2fD3J3fmyR+P6z3+25ze9cozqSopp5h1R5L4YFtM3Qc3E7P7+DFvaJDO7EJtqs5YgKZz7HtbdbckLxrbgRm92gAw/P1dnE8r4OtZ3ejb1kXnuNf/OMvn14qAfXlfFw7H5RjstXL4pcE6yZpqtcQz1yrjymUQ2tqe86kFlKnUtHawZOmEjvQL0n2ty1cL+eZAPOujk/TK8/s7W9PJyx4/Zxs8HCxo7WCJo7U55qZyzE3k2iWe/NJyCkoryC8pJy2/lNjMIuKzionLLCIhu1hvmURhKqdPoDNDQtwY2N5Vm5+RmF3MhqPJrD+aVOOuG3MTOVO6eTN3UFudWhdFygo+2BbDp7tqXvIaH96aReM6YCKT8cQPx9h67nr7gDsjvVg8PrTGui1N4cNtMby75SImchlrZnZr8kJmQtMTwYfQYikrVMz78QR/nkpFJtPc4OqqWlopOj6bOd8d0+vyWWnR2A5sOJqkNzU+McKLhWNDbnjroVotse9yFmv2xzXobEhD6uLbiv+NCbnhAOvjf2N06p+sf6SXXlG2qrVF+r25nYTsYoOJvbsuXuXeLw8BmtL4D/Tzp/cb/+q95h2dPXl/SrjOYxUqNS9sOKXdBt3FtxWJOcXaXJ9xnT15Zmg7vZouZRVqDsZmseVsOjsvXq115uBGudgqiPRpRaRvKyJ8WxHa2k57ky9SVrDpVCrrjyZx4ErNZdutzU2Y1sOXWX38dOp/SJIm16h6wbXqKpe3DHVifm9yGOPDjZPfUem3EynM/f4YUL8dVcLtoVGDj127dvHWW28RHR1NamoqGzdu5I477tA+L0kSixYt4tNPPyUnJ4fu3bvzySef0KFDhwYfvHB7UqklFv52hq8PaGp6zB0YyFND6peln11UxryfjtdYkMzdzoI37+ykvRlWtXJaJMM6uN1UFn5ucRmbTqWx+XQqu2P0O782tTBvB54a3Jb+QS43fD5peaX0WHq9qNjD/QP0OrFWb1jX5fUtZBaW8feT/Wjnrju1Xn0WJXbpSF7ccMpgGfDV93UlKli35ogkSby/NUY70xToaoOngyW7Y64iSZrGbFO6+jCzd5saC6XlFJVxMjmPU0m5JOWUkJJXSnJOMXkl5SgrNKXUy1RqFKZybC3MsLUwxc7CDBdbBX7O1vg6WeHnZE0bZ2s87C10fqdZhUp2XLjKvxcy2F5LLxfQ5MnM7N2G6T3a6C0DxWcV8cy6ExyOy6nx+3v4O/Le5M642loY3PXy15N9tVVPjSU6Poe7PztAWYVap4qtcPtr1OBj8+bN7N27l4iICCZOnKgXfCxbtozFixfz1VdfERQUxOuvv86uXbu4cOECtrZ1r/eJ4EMAzQ3no38vaRMc7+7mw+t3hNZ7p8qKnZd5558L1LAKw5f3deGzXbF6dRU87C347oEe+DnXb8eEIcVlmhyTrWfT+fGI4T4bjWVKV2/u6e5br4RdQyRJYsbqw+yq0r/mxIKhhC36R+913pjYSft18CubKS1X11hZdtLKfdqb6uYn+mJtbkq/t7brHWdtbsL2ZwcY3L76z5k0nv35JHkl5ZibyOkV6ESRskLnZt23rTMTI7yIaufaIDkehigrVJxJyWf3xUz+vZDByaTcOmuqtHGyYmZvP+7q4q0t0V8pu6iMT7ZfqrE/TaWXR7Xn/t5+pBeU8sDaI5xOvp4A3cPfkU/v7YKdEQqHVZWYXcwdn+wlq6iMwe3dWDU9UvRs+Q9psmUXmUymE3xIkoSnpydPPvkkzz//PABKpRI3NzeWLVvGQw891KCDF25/3x6M55VfTqOWNImGH0wJr/c2vQNXspj7/bEa+1242ipYOT2SCcv1e7yM6ujBgrEhNdZwqC9JkojLKuZYQg5HE3LYfv6qNvmyIfg5W9Mn0JnBIW708He85TX+qhUoAT67twu/n0jRa+JXNbdDpZYImL8J0K3ZUdXa/XH871oy5FODg3hicFueWXfCYFXZbn6OfDOru8H+PMm5JczfcErb3M/FVkGYlz3FZSr2X8nSBgGmchnd/DRbncO8Hejs5UArA+Oqi6YWSzEX0go4kZTLicRczqbm16uWisJUzsiOHkzu6k13P0e9GaiC0nI+3x1bZ+7Q4PZuLBwbglcrK4M9cF4cEcyD/fyNXjcjv7Scicv3EZNRSIiHHese7llrIz/h9mO04OPKlSsEBARw9OhRwsOvr92OGzcOBwcH1qxZo/czlEolSuX1m0N+fj7e3t4i+BC0/jqdytzvj1OmUtPdz5HPZtT/E97VAiVP/XicPZdqXgpZNLYDZRVqFm/SLyH+UH9/5kQFNmgp6pIyFfHZRcRlFhOfVUR8djEpuSUUllZwtVBJer5md4uFqQkWZnLsru2E8bC3xNPBEk8HC9p72BHa2h57y4Yb15mUPEZ9uEf7tYOVGUdeGkzgS5t1jnOyNufg/EHanUIFpeV0XKiZGTn/2nCDwWFmoZIur2/Vfn1lyUjSC0rp/+YOg4W+JkZ48fakTgZvqJV5Ea/9cU4byNlbmtHlWq5JYk6xTofcSq2szGjdyvJaoqkCCzM5FmYmKEzllJarKS7T1PooLK0gJa+ExOySOhvGGdLB044pXb0Z27m1wetTUqZi7f44lm4+X+vPkcngs+ldGBziRnFZBS+sP6UXBP78cM9m0RulQqVm5leH2R2TiZudZpeNMfrGCMZ1I8FHg4alaWma4kFubm46j7u5uREfb7gnx9KlS1m0aFFDDkO4zQwP9WDN/eY8uPYIB2OzmbzqAGtmdtVrLGaIi62CNfd348s9sbz9zwWDW1YX/Kb5RL79mQEs+O2MzpLDqp1XWLXzCq+MDmFaD58G2T1gaW5CsLud0dfmq0rNK9EJPAD2vTCQZX/p3yBHdHTX2aJcmeNgIpehqKGbsLONgm5tHDkUp0nC3HMpk35BLjw1JMjga6w/moSVuQmvjuugF4DIZDKGh3owMNiNjceS+GT7ZRKyi9l2XrPbw8fRin5BLkiShCRpZktiM4vIKS4np7hcZ7miIchkEOnTiiEhmm29NeWdlJSpWBedqJ0Bqs2jAwJ4fGBbLM1NDDaOu7ubN6+MDqn37qXGJEkSC38/w+6YTCzNTPhiRlcReAh1apS/3OpvFpIk1Tgl+OKLLzJv3jzt15UzH4JQVc8AJ354qAczvjzMudR8JqzYx1czu+l1cjXERC7jgX7+DGrvynM/n+RIvOGEvqi3dzAp0ou9LwzU243x2h9nee2PsywYE8Lkrt7N4k2/oWQVKplYbelp/SO9UKklPtutn4cwMUJ3J0X+tdkBG4VprVP/k7t6a4OPrw/E0y/IhQf6+vHXmTSdbraVvj4QT2m5iiUTOhosM29uKmdyVx/ujPRm76VMfjqSyD9n0knILtbZ2upsoyDcxwFJggq1JrlULWk+rZerJMpValRqzf9WqKVrNVbUteZxOFmb06VNKwYFa7bX1tYSPj2/lLX74/hku/724up6+Dvy+h2hBLraklWo5Ol1x/Wa8X0zq3uz2ra6cucVvjmQgEymaRZXnwrFgtCg76Du7priQmlpaXh4XK+gmJGRoTcbUkmhUKBQiIp3Qt06eNqz4ZFeTP/yIPFZxYz/ZC/vT+nMoPaG/7aq83ex4ceHevLVvjje+vs8peX6syDropNYF53Ex1PD8bC30JYGr7To97Ms+v0sD/cPYFYfP70mYi1NRn4pd3yyl5Qq25Pnjwwm0rcVw97bpXd8uI8D4dU6yVbugnGqI6diZEcPnl53AoAtZ9OJyyyijbM1790VxpiP9mhby1e1LjqJlLwSPpwSXmNlTBO5jH5BLvQLcqFIWcH+y1nsvHiV/VeyuHK1kMxCJZmFhvN+6kNhKsffxYbO3g508dVssfV1sqozx+J0ch5f7Ill47HkOl/D3c6Cl0e3Z9S1yrM/HU7kufW6FU1HhLqz7M5ORk8qrWrt/jjtzNVLI9sztIN7Hd8hCBoNGnz4+fnh7u7Oli1btDkfZWVl7Ny5k2XLljXkSwn/UT5OVqx/pBePfnOUQ3HZzF57hHmDg5hTpeR2bUzkMmb18WNQsGYWpPKTeHVzvtPUKNjwaC+KlBVM/0J3a+7KnZdZufMy48Nb81hUYL1mYJqbk0m5TFyxTyd58q4uXjzYL4DdMVe5kK7f1v3+3n56j1UGH3UldFqamzB3UFs+vJZg+d7Wi3wwJRx/FxveuSusxtoWey9lMez9Xbw3ubNeAbPqrBWmDA5xY3CIJiAtKVNxIb2AC2n5pOUpySgoJT1fqe3holZLVKglrBWaHi72lubYW5rh6WCBn7M1/i42eNhZ1NoksKpCZQV/n07jiz2xNZb9r8rcVM6rYztwZ6QXpiZyLmUUMOe7Y5xP0/3df35vF+05NRc/Hbm+hPT4wEBm9/U38oiEluSGE04LCwu5dOkSAOHh4bz77rtERUXh6OiIj48Py5YtY+nSpaxevZq2bduyZMkSduzYIbbaCg2qrELNa3+c1dYCGRHqztuTwm4ou16tlq59crtASXnNtRkAdj47gNS8UqZU65tRyc1OwYsj2jOsg7veVsrmRq2WWLM/jkW/63aYHRvmyYd3h5NXUq63tRY0fUd2PheltwTyzYF4Xv7ltE659ZpUTzzd/ERf2nto/jv/ZPslnfbvhozr7Mn8ke1xq0e+T1OpUKnZfSmTjUeT9RJCa/PyqPZM6+GLhZkJpeUqPtl+iY/+vaRzzKiOHrx+R+hN7dRpTL+fSOGJH46hlmBWHz9eHtXe6LttBONr1N0uO3bsICoqSu/xGTNm8NVXX2mLjK1atUqnyFhoaGiDD14QfjiUwCu/nqZcJdHOzZZP742sd1fTSvFZRSz47UyNhckqBbhY8+NDPYnPKtar9lnVxAgvpnb3IcLHodm9IV9IK+CVX09zKFZ3xmdOVCDPDGtHhUqtt7ul0rt3hTEhQr9y5kfbYnhny0W92h81+d+vp1m7XxM09g504ptZ3ZHJZEiSxOI/z2lLsddmVh8/Huznb7QgpLRcxYErWWw/n8Ga/YaT6Wvy5OC2zOrjh62FGSq1xMZjyTxzbTmqkpW5CZ/f24VeRmoIV5utZ9N5+JtoKtQSd3fzYcn40Gb3dy4YhyivLvynRMfn8Mg30WQUKLG3NOOju8P1en7Ux/bzGbz251muXC2q9bg2TlZ890APTOQyZq85wqnkvBqPfbh/AENCXOns3cqoxZYSs4tZsfMy3x1M0HuuckpfkiQGv7uTywbOP8zLno2P9ja4/LDg19Os2R/PIwMCeH54cJ1jySkqI/y1Ldqvq5YDlySJt/+5UK/kTICRHd2ZFOlN37bON9Qk8EZJkkRsZhE7L15lx4Wr2joj9eViq+Chfv5M7uqNrYUZkiSx48JVnv35pF4+ysuj2jOjVxuDSbbGticmk/u/OkyZSs348Na8Myms3ktSwu1PBB/Cf056fikPfR3N8cRc5DJ4YUQwD/S98cJLZRVq1u6P44NtMRRUa0xWnUwGv8/pQ7C7LWv2x/PaH2drPX5smCfDOrjTO9AJB6vGn0avUKnZfyWLHw4n8ue1lvPVVRYFU6slxq/YZ3DXCcD6R3oS6Wu4nsTsNUfYei6d1+4IZXoP33qNrXoH1uqVUb85EM/C387oNXGria3C9FrSqTOdvVsR4GJ908GIWi2RUaDkdHIeJ5NyOZ6Up7P9+kZ09nbggb7+DOvgph3P8cRcFvx6Wq/H0KhOHiwYc+uF7RrL4bhs7v3iECXlKoZ1cOOTqRGNGvAJLY8IPoT/JGWFild+Oc1PRzRVM8d19uSNCZ1uKgcjq1DJO1su8sOhhBpLtFf12b1dGNzelfisYp79ufb+HJUmRnjRpU0rInxa4e9i3SCfdLOLyjhwJYu9lzL51sAsR6WlEzpydzdNsy9lhYpeS//VaQ1f1d3dfFg6oWONP2vEB7s5l5pvsC9LTVRqiZEf7NYmtXbw1FTErLqF+XBcNk/+cPymKsKamcho72FHawdL3O0tcLezwMbCFDMTTQdbmUxTn6SwtIICZQW5xWUk5ZQQn1VkcObnRo3s6M6sPn46AduljAKWbDrPv+czdI71amXJB1M61xjcNQcnk3KZ+tlBCpUV9A9y4dN7I43aMVdonkTwIfxnSZLENwfiWfT7WSrUEsHutnx4dzhBbnUnOxtyNiWfxZvOsvdSVt0Ho2lz/vKo9jjZKDiXms+LG05xvIbZBEP6BbkQ5GqDVytLWlmb42BljoOl2bVEWgm1BJKkqSqaWVhGVpGSpJwSYtILOJqQq9P8zZAH+vrx7LBgbeny+Kwi+r+1o8bj/Zyt+ePxPrUm8nZa+Df5pRX881S/G/o9x6QXMKTKdt4hIW6suEf303RBaTlLNp3n+0M1B1LNRWdvByZGtGZ0J0+dBNHDcdl8uC1Gr+GgmYmMpRM6MT68dbPuf3I+LZ8pnx4gt7icHv6OfDWzW71bHAj/LSL4EP7zDl7J4rHvjpJZWIbCVM5Lo9ozvYfvTSfG1XQDqc17k8MY3ckTMxM5cZlFfPhvDBuO1l3zoTG8ObET4yNaa2dXVGqJD7Ze5MNquyuqsjY34ZfHetO2loCiamn1M4uG3XAvj3VHEnn25+v1LEZ38uD9yZ31pvNPJ+ex+M9zeo0Aja21gyXjw1szPqI1AVUqm6rVElvPpfPhvzEGK6oum9iRCRFezTKvo6orVwu5a9V+MgvLCPdx4OtZ3bER/VqEGojgQxCAjIJSnl13UpscODDYlTfv7FRrNcq6RMfn8MG2mBvKAXC0NmfxHaEMbO+KwtQEtVriRFIuX++PZ0M9ClDdrGeHtePubj46jd4kSWLbuQxmrz1S6/eaymV8NqMLUe1qX0Y5nZzH6I/20MrKjGP/G3pT41y66Ryrdl3Rft0/yIWPpobrFdOSJImjCTl8tiuWv8+m1dlJtrF083Mkqp0rA4NdCXKz0QloC5UV/H4ihSV/nqNAqZ8z9NodoUzu4m2waV5zk5hdzF2r9pOaV0qIhx3fP9Cj0ToFC7cHEXwIwjWSJPHVPk0Tr7IKNc425rw1KazOm2pdjiXk8OG2GLbXsT3XkJdHtWdChJdOUKCsUHExrZD9VzLZdzmLE4m55BTXr6mZg5UZvQOcGRziSu8AZ4M9b5QVKn6OTuKljafr/HmmchkfTAlnVCePOo/9OTqJZ9adoIe/Iz882LNe461OrZZ46ZdTfH8oUftYgIs1H90dQYin4feAtLxS/jiZwu8nU2tMkm0IJnIZIR52hPs40LWNI/3auujdgCVJIjo+h5+OJGrzjaoylct4aVR77u7m02KWK9LySrlr1X4SsosJdLXhxwd71FhhVhAqieBDEKo5n5bPE98f1yY43terDS+MCL7lm8G51HzW7o/nl2PJdRYqM8TByozHBgQyOMSNNvUo2X0jipQV7I65qtP9tSZyGaglsDCTs+KeyHonjr7+x1k+3xPLfb3asHBsh5seq1ot8eofZ/lqX5zO488Oa8fsvn61JjfmFJVxMDaLA1eyOZ+WT0x6YY3Js7VxtVXQxtmaNk5WBLraEO7TilBP+xoTljPyS9lwLJkv98SSUaBfvj3Y3ZbHB7bV2enSEmQWKpm8aj+Xrxbh42jFTw/1xN2+ee7AEZoXEXwIggGl5Sre2Hxee4Nr52bLB3d3bpDusnkl5Ww4msTXB+LrrBNSF1sLU0aGetCnrTM+jlY42ZjjZK0weBNUqyUKyyrIKSojPquYYwm5/H4yhUsZ+i3lDbGzMCX/2pZiH0crVkyLoINn/RuDTf/iILtjMnljQkemXNs9c7MkSeLLvXF6W5bbOFkxb2g7RnX0qHdiZnZRGRkFpWQVlpFZqKRIqULSJuxKWJubYm9phoOV2bVy6pb1yleJzSzinzNp/HkqlZNJhuu7TAhvzczefnT0ankN1tLzS5n+xUEuphfiYW/BTw/11NkCLQi1EcGHINRi+4UMnl2nKe5kbirnqcFBzO7r1yDJf5IksfdSFt8ejGfb+QzKKvSb1zUHDlZmlJSpUF4b34SI1iwY3eGG1vQlSaLr4q1kFpbxy2O96ezt0CBji47PZu73+lts/Z2tmdbDl/HhrZus3HhxWQVH43PZdzmT306kkJRjeAbJw96CaT18uauLd4ttNpiQVcy0Lw6SkF2Mq62CHx7sgb9Ly+tZJBiPCD4EoQ6ZhUqe//kk267VXAh2t2XJhI5EVOvYeisKSsvZcjad30+ksDsms94FsxqTu50F2cVl2qCorasNL48Oof9NVISNzSwi6u0dmJvIOblwaIPmMxSXVfDB1hidRNSqBga7EhXsyoAgF7xaWTbIcpVaLZGcW8LZ1HyOxGVzKC6nznyS2X38uCO8NR087Vp0ifELaQVM/+IgGQVKfByt+HZ2dzHjIdwwEXwIQj1IksT6o8ks/vMsOcXlyGRwT3cfnhse3OBty3OKyvj7TBp/n0njwJXsm8oPuVmO1uao1BJ5JdcTWIPcbHigrz8TIrxuusbE94cSeHHDKbr5OfLTQzeXbFqX+KwiPthW+xZlJ2tzOnrZE+xuh1crS7xaWeJiq8Da3BRrhSkKMzkVKomyCjVlFWryS8vJKCglI19JRoGShOxiLqYX1LiMUpWthSljwjwZGepBzwCnZl2fo76OJuQwc/Vh8krKCXa3Ze393QwmLQtCXUTwIQg3ILuojCWbzvFztGangoutgoVjOjCyo3ujfJpVVqg4Gp/LnktX2R2TyankvAbbNmpmIkOlljCRyyhX6f5Qa3MThoS4cWekN70DnW753OZ8d5Q/TqYyd2Ag84a2u6WfVZfk3BK+P5jAT0cSDSZ3NqbegU4MCHJlQDsXAl1tWvQMR3V7YjJ58OsjFJepCPdxYPV9XZuk9L9wexLBhyDchP2Xs3hp4ymuZGoSRqPaufDquNBGn37OLy3nTHI+p5PzOHXtX1xW0S0HJCZyGcHutvTwd6KnvxN92jo32NKIskJF5GtbKVRWsOHRXg26XFUbtVriWGIOf51OY/+VLIMFvG6Fh70Fkb6t6OztQLiPAx087VvM9tgb9dfpVOZ+f5wylZq+bZ1ZNT1Sp7y9INwoEXwIwk1SVqhYseMyy7dfpkylxsJMzqMDApnd169J35iVFSqSc0pIzCkhMbuYlNwS8kvLKSitoKC0guKyCkzkMkzkckxkYGdphrONAicbc1o7WBLkZou/i3Wj9d/Ydi6dWWuO4G5nwb4XBhqts2mhsoKTiblcvlrI5atFxGcVkV1URm5JOTlFZZSrJMpVakxNZJiZyHGwMqOVlTn2135fvk5W+Dlb4+tkjZ+T9X+miNZPRxJ5Yf1J1BKMCHXn/SmdRa8W4ZaJ4EMQbtHlq4W8tPEUB65kA5oaEE8ODuKuLl4tqmZDY3n462j+OpN2y/U9hKb3+e4rvP7nOQDu6uLFkvEdxd+00CBu5P4t/uIEwYAAFxu+f6AHH90djrejJRkFSuZvPMWw93fxz5k0mlnM3qSSc0v452waAFO731ptD6HpSJLEO/9c0AYeD/T1Y9nETiLwEIxC/NUJQg1kMhljwjzZNm8AC8aE0MrKjMtXi3jw62juWrWfowk5xh6iUazeE4tagp7+TjfdLVhoWmq1xMLfzvDRtUaCzw5rx/yR7W+r5FmhZRHBhyDUwdxUzszefux8LopHBwSgMJVzOC6HCcv38eDaI43aW6S5ScwuZu3+eAAe7O9v5NEI9VFWoWbeT8dZsz8emUzT3O6xqEAReAhGJXI+BOEGpeaV8N6Wi6yLTtLuSOkd6MQj/QMbZAtrcyVJEo9+e5TNp9PoE+jM17O63bbnervIKlTyyDdHORSXjalcxjt3hTGuc2tjD0u4TYmEU0FoAjHpBazYeZnfjqdoq5d28rLn0QEBDA1xN9oOkMby05FEnvv5JCZyGb/N6X1DPWCEpnchrYBZaw6TlFOCrcKUj6aGM+AWuzkLQm1E8CEITSgpp5jPd8fyw+EESss1Zcv9XayZ2asN48JbN3i1VGM4m5LPxBX7KClX8eywdjwWFWjsIQm12Ho2nSd+OEZRmQpfJyu+mNGFQFeRnyM0LhF8CIIRZBUq+WpfHGv2xWk7xVqamTA2zJOp3X3o5GXfIpcpLqYXMOXTA2QXldEn0Jm193e77WZ1bheSJLFq1xWW/XUe6VpS8PJ7IpqsEZ/w3yaCD0EwooLSctYdSeK7Qwk6re1DPOyY2t2HMWGe2Fu2jNmQ08l53Lf6EJmFZXRsbc83s7u3mLH/15SWq5i/8ZS2D8493X1YOLZDg3RrFoT6EMGHIDQDkiRxJD6H7w4m8OepVG0nWTMTGf3aujCqkweDQ9ya5bKMJEl8ezCB1/44i7JCTYiHHd890F30/WimMgpKefjraI4m5GIil7FgTAjTe/i2yJk2oeUSwYcgNDM5RWWsP5rEuiNJXEgv0D5ubiKnX5ALI0Ld6RvkjKut8buJnknJ49Xfz3IwVlPdNaqdC+9PCRczHs3U6eQ8Hlx7hJS8UuwsTFl+TyR92jobe1jCf5AIPgShGYtJL+DPU6n8cTJVZ1kGINjdln5BLvRt60zXNo5N1tRMrZY4EJvFl3vi2HouHQCFqZznhwdzX682Isejmdp8KpV5P52gpFyFv7M1n8/ogr+LjbGHJfxHieBDEFqIi+kF/HEyle3nMziVnKfznKlcRnsPO8K87ens3YowL3v8nK0brBx2abmK44m5/Hs+g79Op5GQXQyATAajO3ny/PB2eLVq3I6+ws1RqSU+2HqRD69VLO3b1pmP7474zzTGE5onEXwIQguUVahk7+Usdl+8yu6YTNLyS/WOMZXL8HGywt/ZhgAXa9ztLXCxVeBio8DR2hwLMxMUZnLMTeSUqyTKVGpKy1VkFZaRWagkOaeEy1cLOZ9WwJmUPMpV1//zt1GYMibMk1l9/Ah0FZ+em6u0vFLm/nCMQ9eWxe7r1YaXR7UXPVoEoxPBhyC0cJIkkZRTwomkXE4k5nIiMY9TyXmUlKsa9HWcbczp29aFQe1dGRjsipW5aYP+fKFh/Xs+nad/OkFOcTlW5iYsHh/K+HAvYw9LEIAbu3+LdxpBaIZkMhnejlZ4O1oxupMnoMnLSM0v5crVQq5cLSI2s4irBUrNv0IlOcVlKMvVlFaotGXfzU3kKMzkOFmb42yjwN3eggAXGwJcbejs5YC3o6XYEdEClFWoefOv83y+JxaADp52fHR3uMjvEFosEXwIQgshl8to7WBJawdL+rZ1qfE4SZKoUEuYymUisLgNJGQV8/j3RzmRpMkJuq9XG14cGYzCtGmSkQWhMYjgQxBuMzKZDDMTEXTcDn4/kcL8DacoUFZgb2nGm3d2YlgHd2MPSxBumQg+BEEQmpmSMhWv/nGG7w8lAtDFtxUf3B1OawdLI49MEBqGCD4EQRCakTMpecz78QQX0guQyeDRAQE8NThI7GYRbisi+BAEQWgGlBUqPv73Eit2XKZCLeFso+D9yZ1FtVLhtiSCD0EQBCM7lpDDcz+fJOZaxduRHd1ZNDYUF1uFkUcmCI1DBB+CIAhGUlqu4t0tF/l89xXUkqbuyqvjQhnZ0cPYQxOERiWCD0EQBCM4FJvN8+tPEptZBMD48Nb8b3QIraxF52Dh9ieCD0EQhCZUpKzgrb8vsGZ/HJIEbnYKlozvyKD2bsYemiA0GRF8CIIgNAFJkth8Oo3Ff54jObcEgCldvXlxZHvsLUVDOOG/RQQfgiAIjex8Wj6LfjvL/itZALR2sOSNiR1rrVQrCLczEXwIgiA0ktziMt7bcpGvD8SjlkBhKueh/gE80j8AS3NRHl347xLBhyAIQgNTqSW+O5TAu/9cIKe4HIARoe7MH9keb0crI49OEIxPBB+CIAgNaP/lLF794yznUvMBCHKzYeGYDvQKFMXCBKGSCD4EQRAawPHEXN755wK7YzIBsLMw5emh7binu48ojS4I1YjgQxAE4RacS83n3S0X2XI2HQBTuYy7u/nw1JAgHEXNDkEwSAQfgiAIN+HK1ULe2xrDHydTkCSQy2B8uBdPDm4r8joEoQ4i+BAEQbgBlzIKWbXzMhuOJaNSSwCM6uTBU4PbEuhqa+TRCULLIIIPQRCEeoiOz2blziva5RWAQcGuzBsaRAdPeyOOTBBaHhF8CIIg1ECtlth2PoNVOy9zJD4HAJkMhrR34+EBAUT4tDLyCAWhZRLBhyAIQjUFpeVsPJbMmn1xXL6qafxmbiJnQkRrZvf1J9DVxsgjFISWTQQfgiAI15xJyeObAwn8ejyZ4jIVALYKU+7p4cv9vdvgamdh5BEKwu1BBB+CIPynFSkr+Ot0Gt8ejOdoQq728QAXa6b38GVipBe2FqLxmyA0JBF8CILwn6NSS+y/nMWGo0n8dSZNO8thKpcxLNSdad196eHviEwmM/JIBeH2JIIPQRD+EyRJ4kRSHptPpfLL8WTS85Xa53ydrLgzwovJ3bxxtRVLK4LQ2ETwIQjCbUulljiakMPmU2n8dTqVlLxS7XP2lmaM7uTBhAgvInwcxCyHIDQhEXwIgnBbyS0uY+fFq+y4cJWdF6+SXVSmfc7K3ISBwa6M7uRBVLArClPR1l4QjEEEH4IgtGglZSqi43PYdzmTfZezOJmUy7XCowDYWpgypL0bw0Pd6RfkgoWZCDgEwdgaLfhYvnw5b731FqmpqXTo0IH333+fvn37NtbLCYLwHyBJEkk5JRxLzOVofA7HEnM5m5JHuUrSOa6dmy0Dgl2IaudKpG8rzERXWUFoVhol+Pjxxx958sknWb58Ob1792bVqlWMGDGCs2fP4uPj0xgvKQjCbaZCpSYuq5gLaQVcSMvnbGoBJ5JyuVqg1DvW3c6CXoFO9ApwpleAE54OlkYYsSAI9SWTJEmq+7Ab0717dyIiIlixYoX2sfbt23PHHXewdOnSWr83Pz8fe3t78vLysLOza+ihCYLQjFSo1KTklhKfXUR8VjEJ2cXEZ2n+f2xmEcoKtd73mMpldPC0I9ynFeE+DoR7t8Lb0VIkjAqCkd3I/bvBZz7KysqIjo7mhRde0Hl86NCh7Nu3T+94pVKJUnn9k0x+fn5DD0kQhGYkJr2A+9ccJjG7pM5jLc1MCHK3JdjNlnbutnTysie0tb3I2xCEFq7Bg4/MzExUKhVubm46j7u5uZGWlqZ3/NKlS1m0aFFDD0MQhGbq95OpeoFHoKsNvo5W+DhZ4etoha+TNX7O1vg4WiGXixkNQbjdNFrCafUpUEmSDE6Lvvjii8ybN0/7dX5+Pt7e3o01LEEQjGxWbz8szOTsicnE1VbBIwMCaedua+xhCYLQhBo8+HB2dsbExERvliMjI0NvNgRAoVCgUCgaehiCIDRT9lZmPDogkEcHBBp7KIIgGEmD7z8zNzcnMjKSLVu26Dy+ZcsWevXq1dAvJwiCIAhCC9Moyy7z5s1j+vTpdOnShZ49e/Lpp5+SkJDAww8/3BgvJwiCIAhCC9IowcfkyZPJysri1VdfJTU1ldDQUDZt2oSvr29jvJwgCIIgCC1Io9T5uBWizocgCIIgtDw3cv8WNYcFQRAEQWhSIvgQBEEQBKFJieBDEARBEIQmJYIPQRAEQRCalAg+BEEQBEFoUiL4EARBEAShSYngQxAEQRCEJiWCD0EQBEEQmpQIPgRBEARBaFKNUl79VlQWXM3PzzfySARBEARBqK/K+3Z9Cqc3u+CjoKAAAG9vbyOPRBAEQRCEG1VQUIC9vX2txzS73i5qtZqUlBRsbW2RyWTk5+fj7e1NYmLibd/rRZzr7Umc6+3nv3KeIM71dtUY5ypJEgUFBXh6eiKX157V0exmPuRyOV5eXnqP29nZ3fZ/DJXEud6exLnefv4r5wniXG9XDX2udc14VBIJp4IgCIIgNCkRfAiCIAiC0KSaffChUChYsGABCoXC2ENpdOJcb0/iXG8//5XzBHGutytjn2uzSzgVBEEQBOH21uxnPgRBEARBuL2I4EMQBEEQhCYlgg9BEARBEJqUCD4EQRAEQWhSzTb4iIuLY9asWfj5+WFpaUlAQAALFiygrKxM57iEhATGjBmDtbU1zs7OzJ07V++YlmDx4sX06tULKysrHBwcDB4jk8n0/q1cubJpB3qL6nOet8s1NaRNmzZ61/CFF14w9rAaxPLly/Hz88PCwoLIyEh2795t7CE1uIULF+pdP3d3d2MPq0Hs2rWLMWPG4OnpiUwm45dfftF5XpIkFi5ciKenJ5aWlgwYMIAzZ84YZ7C3qK5zve+++/Suc48ePYwz2FuwdOlSunbtiq2tLa6urtxxxx1cuHBB5xhjXddmG3ycP38etVrNqlWrOHPmDO+99x4rV65k/vz52mNUKhWjRo2iqKiIPXv28MMPP7B+/XqefvppI4785pSVlTFp0iQeeeSRWo9bvXo1qamp2n8zZsxoohE2jLrO83a6pjV59dVXda7hyy+/bOwh3bIff/yRJ598kpdeeoljx47Rt29fRowYQUJCgrGH1uA6dOigc/1OnTpl7CE1iKKiIsLCwvj4448NPv/mm2/y7rvv8vHHH3P48GHc3d0ZMmSIth9XS1LXuQIMHz5c5zpv2rSpCUfYMHbu3Mljjz3GgQMH2LJlCxUVFQwdOpSioiLtMUa7rlIL8uabb0p+fn7arzdt2iTJ5XIpOTlZ+9j3338vKRQKKS8vzxhDvGWrV6+W7O3tDT4HSBs3bmzS8TSWms7zdrymVfn6+krvvfeesYfR4Lp16yY9/PDDOo8FBwdLL7zwgpFG1DgWLFgghYWFGXsYja76e41arZbc3d2lN954Q/tYaWmpZG9vL61cudIII2w4ht5XZ8yYIY0bN84o42lMGRkZEiDt3LlTkiTjXtdmO/NhSF5eHo6Ojtqv9+/fT2hoKJ6entrHhg0bhlKpJDo62hhDbHRz5szB2dmZrl27snLlStRqtbGH1KD+C9d02bJlODk50blzZxYvXtzil5TKysqIjo5m6NChOo8PHTqUffv2GWlUjScmJgZPT0/8/PyYMmUKV65cMfaQGl1sbCxpaWk611ihUNC/f//b8hoD7NixA1dXV4KCgnjggQfIyMgw9pBuWV5eHoD2PmrM69rsGsvV5PLly3z00Ue888472sfS0tJwc3PTOa5Vq1aYm5uTlpbW1ENsdK+99hqDBg3C0tKSbdu28fTTT5OZmXlbTNtXut2v6RNPPEFERAStWrXi0KFDvPjii8TGxvL5558be2g3LTMzE5VKpXfd3NzcbotrVlX37t1Zu3YtQUFBpKen8/rrr9OrVy/OnDmDk5OTsYfXaCqvo6FrHB8fb4whNaoRI0YwadIkfH19iY2N5ZVXXmHgwIFER0e32OqnkiQxb948+vTpQ2hoKGDc69rkMx+GEraq/zty5IjO96SkpDB8+HAmTZrE7NmzdZ6TyWR6ryFJksHHm9rNnGttXn75ZXr27Ennzp15+umnefXVV3nrrbca8Qzqp6HPszlfU0Nu5Pyfeuop+vfvT6dOnZg9ezYrV67kiy++ICsry8hnceuqX5/mfM1u1ogRI5g4cSIdO3Zk8ODB/PnnnwCsWbPGyCNrGv+FawwwefJkRo0aRWhoKGPGjGHz5s1cvHhRe71bojlz5nDy5Em+//57veeMcV2bfOZjzpw5TJkypdZj2rRpo/3/KSkpREVF0bNnTz799FOd49zd3Tl48KDOYzk5OZSXl+tFcsZwo+d6o3r06EF+fj7p6elGPd+GPM/mfk0NuZXzr8ygv3TpUov95Ozs7IyJiYneLEdGRkazvWYNxdramo4dOxITE2PsoTSqyh09aWlpeHh4aB//L1xjAA8PD3x9fVvsdX788cf57bff2LVrF15eXtrHjXldmzz4cHZ2xtnZuV7HJicnExUVRWRkJKtXr0Yu152o6dmzJ4sXLyY1NVX7i/vnn39QKBRERkY2+Nhv1I2c6804duwYFhYWNW5ZbSoNeZ7N/Zoacivnf+zYMQCd//BbGnNzcyIjI9myZQvjx4/XPr5lyxbGjRtnxJE1PqVSyblz5+jbt6+xh9Ko/Pz8cHd3Z8uWLYSHhwOaXJ+dO3eybNkyI4+u8WVlZZGYmNji/juVJInHH3+cjRs3smPHDvz8/HSeN+Z1bbY5HykpKQwYMAAfHx/efvttrl69qn2uMlobOnQoISEhTJ8+nbfeeovs7GyeeeYZHnjgAezs7Iw19JuSkJBAdnY2CQkJqFQqjh8/DkBgYCA2Njb8/vvvpKWl0bNnTywtLdm+fTsvvfQSDz74YItag6zrPG+na1rd/v37OXDgAFFRUdjb23P48GGeeuopxo4di4+Pj7GHd0vmzZvH9OnT6dKli3aWMiEhgYcfftjYQ2tQzzzzDGPGjMHHx4eMjAxef/118vPzW9yWd0MKCwu5dOmS9uvY2FiOHz+Oo6MjPj4+PPnkkyxZsoS2bdvStm1blixZgpWVFVOnTjXiqG9Obefq6OjIwoULmThxIh4eHsTFxTF//nycnZ11guuW4LHHHuO7777j119/xdbWVjs7aW9vj6WlJTKZzHjXtVH30tyC1atXS4DBf1XFx8dLo0aNkiwtLSVHR0dpzpw5UmlpqZFGffNmzJhh8Fy3b98uSZIkbd68WercubNkY2MjWVlZSaGhodL7778vlZeXG3fgN6iu85Sk2+eaVhcdHS11795dsre3lywsLKR27dpJCxYskIqKiow9tAbxySefSL6+vpK5ubkUERGh3c53O5k8ebLk4eEhmZmZSZ6entKECROkM2fOGHtYDWL79u0G/9ucMWOGJEmabZkLFiyQ3N3dJYVCIfXr1086deqUcQd9k2o71+LiYmno0KGSi4uLZGZmJvn4+EgzZsyQEhISjD3sG1bTPXT16tXaY4x1XWXXBigIgiAIgtAkWlSdD0EQBEEQWj4RfAiCIAiC0KRE8CEIgiAIQpMSwYcgCIIgCE1KBB+CIAiCIDQpEXwIgiAIgtCkRPAhCIIgCEKTEsGHIAiCIAhNSgQfgiAIgiA0KRF8CIIgCILQpETwIQiCIAhCkxLBhyAIgiAITer/oNbEA0/Byv8AAAAASUVORK5CYII=\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": "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",
       "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.87725pt\" version=\"1.1\" viewBox=\"0 0 292.704431 286.87725\" width=\"292.704431pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:38:12.685850</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.87725 \nL 292.704431 286.87725 \nL 292.704431 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 31.058382 208.926988 \nL 118.739291 135.072318 \nL 117.668233 28.744312 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 63.871511 219.643756 \nL 149.793526 144.098558 \nL 150.049805 36.952096 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.473063 230.618022 \nL 181.531533 153.323543 \nL 183.175483 45.34849 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 131.891799 241.859182 \nL 213.976147 162.753912 \nL 217.071216 53.94007 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.157897 253.377089 \nL 247.151233 172.3966 \nL 251.764169 62.733723 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 31.821784 208.283965 \nL 29.528308 210.215787 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(12.971799 232.199617)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 64.620319 218.985381 \nL 62.370649 220.963358 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(45.818343 243.143389)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 98.206352 229.943739 \nL 96.003269 231.969545 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(86.828206 254.351114)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 132.608588 241.168407 \nL 130.455039 243.243798 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(118.106961 265.832458)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 167.857148 252.66921 \nL 165.756254 254.796029 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(153.418647 277.597563)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 36.104265 84.610674 \nL 40.837517 196.34427 \nL 189.060192 243.910769 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 52.15454 72.897914 \nL 56.124734 183.530222 \nL 202.905948 229.701617 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 67.728973 61.532403 \nL 70.978075 171.079857 \nL 216.338369 215.91665 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 82.848416 50.498922 \nL 85.415755 158.977908 \nL 229.375691 202.53715 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.532519 39.783132 \nL 99.454979 147.209952 \nL 242.035093 189.545489 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 111.799819 29.371506 \nL 113.112018 135.76235 \nL 254.332773 176.925044 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 187.811582 243.510075 \nL 191.560618 244.713187 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(191.297449 264.829283)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 201.670423 229.312971 \nL 205.380122 230.479892 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(204.957401 250.409862)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 215.11571 215.539517 \nL 218.786732 216.671854 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(225.580422 236.42115)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 228.16568 202.171027 \nL 231.79868 203.270296 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(235.261088 222.844134)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 240.837517 189.1899 \nL 244.43314 190.257528 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(247.749961 209.660902)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 253.147421 176.57954 \nL 256.706304 177.616875 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(259.881787 196.854566)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.248597 151.827113 \nL 114.913885 111.574818 \nL 26.149294 183.941474 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.231116 130.371409 \nL 114.675184 90.816784 \nL 25.090386 161.952558 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.23081 108.540651 \nL 114.432512 69.71345 \nL 24.012252 139.564405 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.248132 86.324919 \nL 114.18577 48.25613 \nL 22.914364 116.766043 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.053488 151.489136 \nL 259.641684 152.503878 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.303552 156.866197)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.02526 130.039154 \nL 260.645747 131.036723 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.442162 135.453881)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.014012 108.214371 \nL 261.667376 109.194009 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.600614 113.668423)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.020194 86.004877 \nL 262.707037 86.965793 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.779431 91.499983)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#pc4f50c0e8e)\" d=\"M 142.612252 191.042413 \nL 142.888837 190.237261 \nL 143.463443 189.597415 \nL 144.332709 189.025964 \nL 146.25285 188.134985 \nL 158.967256 182.892401 \nL 164.062408 180.482514 \nL 170.379682 177.188073 \nL 174.058704 175.107685 \nL 178.112903 172.672846 \nL 182.556372 169.827455 \nL 187.393341 166.511379 \nL 192.613385 162.663127 \nL 198.185387 158.224409 \nL 204.050254 153.147236 \nL 210.112722 147.404112 \nL 216.23302 141.001661 \nL 222.219883 133.997245 \nL 227.827191 126.516985 \nL 232.757386 118.771608 \nL 236.675183 111.064471 \nL 239.234388 103.784365 \nL 240.11827 97.376159 \nL 239.089329 92.286412 \nL 236.038801 88.889701 \nL 231.021673 87.412207 \nL 224.263658 87.876803 \nL 216.13347 90.091269 \nL 207.086087 93.687216 \nL 197.593233 98.197311 \nL 188.080968 103.144241 \nL 162.317495 117.007467 \nL 155.141646 120.648717 \nL 148.731371 123.710323 \nL 143.054451 126.229772 \nL 138.057275 128.271898 \nL 133.676103 129.912016 \nL 126.497213 132.278997 \nL 118.779224 134.423661 \nL 109.827074 136.815 \nL 103.148985 138.723146 \nL 101.054679 138.980176 \nL 99.696536 138.953507 \nL 98.371756 138.748764 \nL 97.097867 138.356199 \nL 95.90289 137.774417 \nL 94.822452 137.012078 \nL 93.896397 136.089251 \nL 93.164827 135.038033 \nL 92.663768 133.902087 \nL 92.420785 132.734743 \nL 92.451104 131.595576 \nL 92.75487 130.545729 \nL 93.316049 129.64257 \nL 94.103213 128.93446 \nL 95.0721 128.456616 \nL 96.169501 128.228634 \nL 97.337789 128.254006 \nL 98.519343 128.521436 \nL 99.660291 129.007542 \nL 100.713235 129.680192 \nL 101.638827 130.501912 \nL 102.406344 131.432889 \nL 102.99346 132.433283 \nL 103.385557 133.464781 \nL 103.574797 134.491494 \nL 103.559201 135.480269 \nL 103.341886 136.400683 \nL 102.930555 137.224803 \nL 102.337286 137.926957 \nL 101.5786 138.483583 \nL 100.675768 138.873326 \nL 99.655245 139.077462 \nL 98.549117 139.080711 \nL 97.395333 138.872528 \nL 96.237535 138.448736 \nL 95.124252 137.813449 \nL 94.10723 136.981039 \nL 93.238792 135.97767 \nL 92.568289 134.842024 \nL 92.137917 133.624672 \nL 91.978421 132.38581 \nL 92.105348 131.191246 \nL 92.516645 130.107042 \nL 93.192108 129.193561 \nL 94.094917 128.499928 \nL 95.175038 128.059851 \nL 96.373905 127.889532 \nL 97.629519 127.987758 \nL 98.881227 128.337979 \nL 100.073545 128.911614 \nL 101.158735 129.67191 \nL 102.098112 130.577625 \nL 102.862306 131.586119 \nL 103.430735 132.655592 \nL 103.790662 133.746486 \nL 103.936104 134.822178 \nL 103.866809 135.849112 \nL 103.587478 136.796606 \nL 103.107284 137.63649 \nL 102.43975 138.342795 \nL 101.602922 138.891563 \nL 100.619801 139.260966 \nL 99.518922 139.431822 \nL 98.33489 139.388541 \nL 97.108671 139.120608 \nL 95.887407 138.624491 \nL 94.723463 137.905828 \nL 93.672467 136.981613 \nL 92.790288 135.881885 \nL 92.128954 134.650393 \nL 91.731956 133.343672 \nL 91.629492 132.028203 \nL 91.834553 130.775627 \nL 92.340583 129.656575 \nL 93.121384 128.734029 \nL 94.133347 128.057383 \nL 95.319653 127.65832 \nL 96.6157 127.549122 \nL 97.95475 127.723467 \nL 99.272965 128.159234 \nL 100.513235 128.822516 \nL 101.627537 129.671935 \nL 102.577922 130.662577 \nL 103.336418 131.749122 \nL 103.884192 132.887981 \nL 104.210348 134.0385 \nL 104.310676 135.163447 \nL 104.186543 136.228938 \nL 103.844106 137.204053 \nL 103.293878 138.060374 \nL 102.550695 138.771567 \nL 101.634027 139.313173 \nL 100.568547 139.662756 \nL 99.384853 139.800503 \nL 98.120118 139.710336 \nL 96.81846 139.38162 \nL 95.530729 138.811342 \nL 94.31339 138.006621 \nL 93.226288 136.987169 \nL 92.329132 135.787117 \nL 91.676863 134.455628 \nL 91.31437 133.055649 \nL 91.27125 131.660386 \nL 91.557684 130.347703 \nL 92.162242 129.193005 \nL 93.052297 128.261882 \nL 94.177038 127.603785 \nL 95.472565 127.24802 \nL 96.868095 127.202547 \nL 98.292145 127.45556 \nL 99.677807 127.979126 \nL 100.966519 128.733891 \nL 102.11016 129.673842 \nL 103.071687 130.75048 \nL 103.824646 131.915941 \nL 104.352004 133.124976 \nL 104.644709 134.335984 \nL 104.700274 135.511214 \nL 104.521599 136.616508 \nL 104.116176 137.620741 \nL 103.495733 138.495207 \nL 102.676294 139.213139 \nL 101.678633 139.749455 \nL 100.529004 140.080963 \nL 99.260027 140.187004 \nL 97.911478 140.050803 \nL 96.530743 139.661362 \nL 95.172591 139.016013 \nL 93.89789 138.123251 \nL 92.771058 137.005494 \nL 91.856032 135.701137 \nL 91.21101 134.265089 \nL 90.882482 132.767143 \nL 90.899491 131.287751 \nL 91.269264 129.911442 \nL 91.975192 128.718709 \nL 92.977823 127.777835 \nL 94.218764 127.138226 \nL 95.626717 126.826532 \nL 97.124532 126.846049 \nL 98.635937 127.179195 \nL 100.091014 127.791992 \nL 101.429859 128.639522 \nL 102.604393 129.671139 \nL 103.578582 130.834821 \nL 104.327559 132.080263 \nL 104.836122 133.360694 \nL 105.097029 134.633645 \nL 105.109443 135.860943 \nL 104.877685 137.008205 \nL 104.410454 138.044097 \nL 103.720529 138.939603 \nL 102.82496 139.667427 \nL 101.745666 140.201754 \nL 100.510355 140.518422 \nL 99.153578 140.595716 \nL 97.7177 140.41586 \nL 96.253446 139.967219 \nL 94.819688 139.247168 \nL 93.482025 138.265337 \nL 92.309869 137.046773 \nL 91.371865 135.634189 \nL 90.729929 134.088506 \nL 90.432542 132.486821 \nL 90.508397 130.917383 \nL 90.961763 129.471959 \nL 91.770658 128.236585 \nL 92.888479 127.282504 \nL 94.248861 126.659105 \nL 95.772778 126.390242 \nL 97.376468 126.474327 \nL 98.978736 126.887721 \nL 100.506614 127.590217 \nL 101.898897 128.531208 \nL 103.10759 129.655383 \nL 104.097721 130.907232 \nL 104.846031 132.234076 \nL 105.339125 133.587694 \nL 105.571526 134.924838 \nL 105.543949 136.206959 \nL 105.26201 137.399472 \nL 104.735455 138.470855 \nL 103.977936 139.391728 \nL 103.007321 140.134209 \nL 101.846473 140.671586 \nL 100.524352 140.978534 \nL 99.077282 141.032009 \nL 97.550117 140.812896 \nL 95.996943 140.308498 \nL 94.480896 139.515824 \nL 93.072614 138.445265 \nL 91.846981 137.124209 \nL 90.877963 135.599625 \nL 90.231854 133.938621 \nL 89.959725 132.226023 \nL 90.090368 130.558534 \nL 90.625307 129.035878 \nL 91.036917 128.358269 \nL 91.53714 127.750296 \nL 92.118413 127.220671 \nL 93.487552 126.423132 \nL 95.062295 126.001183 \nL 96.752623 125.961709 \nL 98.469106 126.285759 \nL 100.129893 126.934196 \nL 101.665313 127.854637 \nL 103.020079 128.988141 \nL 104.153409 130.274688 \nL 105.037751 131.656966 \nL 105.656728 133.08254 \nL 106.002887 134.50462 \nL 106.075622 135.881869 \nL 105.879538 137.177603 \nL 105.423381 138.358721 \nL 104.719594 139.394596 \nL 103.784468 140.256152 \nL 102.638846 140.915259 \nL 101.309275 141.344639 \nL 99.82945 141.51842 \nL 98.241709 141.41352 \nL 96.598244 141.011967 \nL 94.961568 140.304143 \nL 93.403727 139.292803 \nL 92.00374 137.997375 \nL 90.842926 136.457675 \nL 89.998131 134.735924 \nL 89.533488 132.915839 \nL 89.491997 131.097899 \nL 89.635832 130.223674 \nL 89.888613 129.390775 \nL 90.247227 128.612209 \nL 90.706581 127.900011 \nL 91.25975 127.264927 \nL 91.898163 126.716095 \nL 92.611865 126.260843 \nL 93.389806 125.904522 \nL 95.090657 125.499952 \nL 96.902548 125.505444 \nL 98.729444 125.896229 \nL 100.484893 126.626557 \nL 102.096657 127.637612 \nL 103.508604 128.864933 \nL 104.680404 130.2442 \nL 105.585751 131.715081 \nL 106.209893 133.223216 \nL 106.547037 134.720746 \nL 106.598065 136.165821 \nL 106.368756 137.521546 \nL 105.868704 138.75467 \nL 105.110889 139.834302 \nL 104.11193 140.730825 \nL 102.892945 141.415192 \nL 101.480909 141.858768 \nL 99.910334 142.033888 \nL 98.225057 141.915325 \nL 96.47972 141.482821 \nL 94.740484 140.724699 \nL 93.084345 139.642404 \nL 91.596459 138.25542 \nL 90.365018 136.605689 \nL 89.473732 134.760065 \nL 88.992535 132.809485 \nL 88.921425 131.828646 \nL 88.968016 130.863728 \nL 89.133196 129.929797 \nL 89.415614 129.041689 \nL 89.811661 128.213558 \nL 90.315555 127.45846 \nL 90.919501 126.787959 \nL 91.613909 126.211804 \nL 92.387715 125.737679 \nL 93.228696 125.371052 \nL 94.123847 125.115128 \nL 95.059742 124.970878 \nL 97.000027 125.010972 \nL 98.946194 125.460873 \nL 100.806522 126.268051 \nL 102.505654 127.367007 \nL 103.986208 128.687433 \nL 105.208008 130.160427 \nL 106.145801 131.722401 \nL 106.786325 133.316905 \nL 107.125352 134.894894 \nL 107.165146 136.413967 \nL 106.912557 137.837004 \nL 106.377857 139.13064 \nL 105.574342 140.263742 \nL 104.518664 141.206181 \nL 103.231828 141.927968 \nL 101.740754 142.399002 \nL 100.08023 142.589566 \nL 98.295017 142.47186 \nL 96.44169 142.022668 \nL 94.589675 141.227333 \nL 92.820814 140.084828 \nL 91.226692 138.613452 \nL 89.903192 136.856018 \nL 88.9422 134.883104 \nL 88.622721 133.845456 \nL 88.421178 132.792517 \nL 88.343198 131.739845 \nL 88.392224 130.703716 \nL 88.569318 129.700661 \nL 88.873049 128.746975 \nL 89.299475 127.858217 \nL 89.842234 127.048706 \nL 90.492719 126.331094 \nL 91.240357 125.715982 \nL 92.072948 125.211651 \nL 92.977043 124.823891 \nL 93.938375 124.555957 \nL 94.942258 124.408621 \nL 95.973992 124.380323 \nL 98.064213 124.664433 \nL 100.103289 125.359402 \nL 102.002146 126.397985 \nL 103.69146 127.704584 \nL 105.121603 129.203222 \nL 106.260476 130.822932 \nL 107.090274 132.500567 \nL 107.604016 134.181554 \nL 107.802411 135.819319 \nL 107.691364 137.373865 \nL 107.280303 138.810004 \nL 106.581337 140.095564 \nL 105.609254 141.199786 \nL 104.382273 142.092037 \nL 102.923501 142.741087 \nL 101.262941 143.115058 \nL 99.439896 143.182327 \nL 97.505382 142.913602 \nL 95.524114 142.285435 \nL 93.575351 141.285195 \nL 91.751761 139.91721 \nL 90.155466 138.20935 \nL 89.475326 137.244521 \nL 88.890751 136.21854 \nL 88.41339 135.143482 \nL 88.053602 134.033278 \nL 87.820045 132.90352 \nL 87.719313 131.771109 \nL 87.755602 130.653841 \nL 87.930484 129.569899 \nL 88.242754 128.537302 \nL 88.688396 127.573312 \nL 89.260674 126.693874 \nL 89.950326 125.913095 \nL 90.745867 125.242809 \nL 91.633978 124.692246 \nL 92.599948 124.267851 \nL 93.628143 123.973209 \nL 94.702484 123.809119 \nL 95.806897 123.773773 \nL 96.925717 123.863028 \nL 98.044032 124.070742 \nL 100.224811 124.809294 \nL 102.253546 125.914819 \nL 104.056772 127.304297 \nL 105.582878 128.895268 \nL 106.799419 130.611656 \nL 107.689293 132.386677 \nL 108.246741 134.163444 \nL 108.473793 135.894092 \nL 108.377475 137.538053 \nL 107.967927 139.059991 \nL 107.257466 140.427726 \nL 106.260533 141.610378 \nL 104.994509 142.576866 \nL 103.481276 143.294932 \nL 101.74945 143.730893 \nL 99.837091 143.850342 \nL 97.794577 143.620132 \nL 95.687165 143.011932 \nL 93.596463 142.007466 \nL 91.619908 140.605368 \nL 90.708407 139.761284 \nL 89.867181 138.828798 \nL 89.110638 137.815788 \nL 88.452809 136.732381 \nL 87.906916 135.590982 \nL 87.484908 134.406171 \nL 87.196999 133.19451 \nL 87.051223 131.974198 \nL 87.053043 130.764623 \nL 87.205036 129.585804 \nL 87.506701 128.457767 \nL 87.954381 127.399876 \nL 88.541321 126.430157 \nL 89.257881 125.564694 \nL 90.091849 124.817091 \nL 91.028874 124.19807 \nL 92.05297 123.715228 \nL 93.147054 123.37294 \nL 94.293486 123.17241 \nL 95.474608 123.111881 \nL 96.673193 123.186934 \nL 97.872852 123.390884 \nL 99.058349 123.715206 \nL 101.332975 124.68441 \nL 103.404936 126.006318 \nL 105.207273 127.589206 \nL 106.696125 129.346285 \nL 107.846722 131.200503 \nL 108.648735 133.086263 \nL 109.101861 134.948978 \nL 109.212156 136.743411 \nL 108.989354 138.431385 \nL 108.445227 139.979375 \nL 107.592955 141.35621 \nL 106.447451 142.531094 \nL 105.026572 143.472072 \nL 103.353152 144.145078 \nL 101.457712 144.51382 \nL 99.381691 144.540798 \nL 97.180796 144.189779 \nL 94.927899 143.430157 \nL 92.714563 142.243354 \nL 91.656272 141.489223 \nL 90.650005 140.630966 \nL 89.711397 139.673405 \nL 88.856333 138.623703 \nL 88.100553 137.491519 \nL 87.459182 136.289107 \nL 86.946206 135.031271 \nL 86.573936 133.735218 \nL 86.352483 132.420229 \nL 86.289262 131.107229 \nL 86.388589 129.818178 \nL 86.651383 128.575379 \nL 87.075022 127.40073 \nL 87.653344 126.31491 \nL 88.376826 125.336668 \nL 89.232903 124.482127 \nL 90.206428 123.764291 \nL 91.28023 123.192678 \nL 92.435733 122.77316 \nL 93.653587 122.507973 \nL 94.914278 122.395924 \nL 96.198688 122.432715 \nL 97.488573 122.611379 \nL 98.766948 122.922782 \nL 100.018357 123.356155 \nL 102.387132 124.540562 \nL 104.50663 126.064042 \nL 106.316293 127.827328 \nL 107.77957 129.740212 \nL 108.878737 131.725204 \nL 109.609519 133.718118 \nL 109.976351 135.666702 \nL 109.988641 137.528232 \nL 109.658208 139.266767 \nL 108.997866 140.85042 \nL 108.021069 142.248857 \nL 106.742583 143.4312 \nL 105.180069 144.364416 \nL 103.356549 145.012337 \nL 101.303637 145.335616 \nL 99.06532 145.292953 \nL 96.701881 144.844027 \nL 94.293273 143.954661 \nL 93.102876 143.337614 \nL 91.940844 142.604342 \nL 90.822972 141.756012 \nL 89.765986 140.795909 \nL 88.787233 139.729763 \nL 87.904278 138.566014 \nL 87.134415 137.315997 \nL 86.49411 135.994 \nL 85.998387 134.61722 \nL 85.660198 133.205503 \nL 85.489815 131.780965 \nL 85.494291 130.36738 \nL 85.677023 128.989467 \nL 86.037472 127.67202 \nL 86.571056 126.439015 \nL 87.269239 125.31268 \nL 88.119816 124.312679 \nL 89.107371 123.455388 \nL 90.213867 122.753389 \nL 91.419345 122.215148 \nL 92.70265 121.844957 \nL 94.042163 121.643063 \nL 95.416482 121.605993 \nL 96.805018 121.727032 \nL 98.188471 121.996785 \nL 99.549206 122.40379 \nL 100.871484 122.935127 \nL 102.141613 123.576999 \nL 104.480908 125.135747 \nL 106.497558 126.969448 \nL 108.149786 128.977507 \nL 109.417614 131.07403 \nL 110.296569 133.188712 \nL 110.792054 135.265308 \nL 110.914902 137.258916 \nL 110.678216 139.132794 \nL 110.09551 140.855217 \nL 109.180035 142.396614 \nL 107.945192 143.727066 \nL 106.405954 144.814289 \nL 104.581266 145.622183 \nL 102.497339 146.110198 \nL 100.191754 146.233845 \nL 97.718036 145.946871 \nL 96.440333 145.635505 \nL 95.150132 145.205709 \nL 93.860426 144.653636 \nL 92.585771 143.97667 \nL 91.34222 143.173794 \nL 90.147179 142.246003 \nL 89.019152 141.196694 \nL 87.977387 140.032048 \nL 87.041405 138.761353 \nL 86.23043 137.397225 \nL 85.562734 135.955687 \nL 85.054912 134.456109 \nL 84.721154 132.920909 \nL 84.572522 131.375058 \nL 84.616332 129.845378 \nL 84.855669 128.359652 \nL 85.289085 126.945604 \nL 85.910512 125.629811 \nL 86.709418 124.436653 \nL 87.671198 123.387332 \nL 88.777751 122.499096 \nL 90.008221 121.784693 \nL 91.339818 121.252095 \nL 92.748709 120.904482 \nL 94.210831 120.740496 \nL 95.702668 120.754704 \nL 97.201896 120.938206 \nL 98.687885 121.27933 \nL 100.142057 121.764365 \nL 101.548113 122.378284 \nL 102.892122 123.105377 \nL 104.162493 123.929805 \nL 106.447029 125.80933 \nL 108.350672 127.902374 \nL 109.848564 130.1111 \nL 110.934625 132.356034 \nL 111.614766 134.574637 \nL 111.901407 136.718243 \nL 111.809491 138.748405 \nL 111.35397 140.63326 \nL 110.548601 142.344202 \nL 109.405954 143.852942 \nL 107.938501 145.129027 \nL 106.160747 146.137875 \nL 104.092398 146.83944 \nL 101.762507 147.18786 \nL 99.214492 147.1325 \nL 97.877522 146.937008 \nL 96.511572 146.621161 \nL 95.128477 146.17918 \nL 93.741871 145.606133 \nL 92.367205 144.898313 \nL 91.021722 144.053679 \nL 89.724309 143.07232 \nL 88.495249 141.95694 \nL 87.355843 140.713323 \nL 86.327899 139.350749 \nL 85.433085 137.882295 \nL 84.692186 136.325007 \nL 84.124248 134.699851 \nL 83.745719 133.031427 \nL 83.569593 131.34745 \nL 83.604639 129.677926 \nL 83.854819 128.054142 \nL 84.318883 126.507451 \nL 84.990273 125.067982 \nL 85.857274 123.763381 \nL 86.903477 122.617626 \nL 88.108461 121.650116 \nL 89.44868 120.87501 \nL 90.898449 120.300903 \nL 92.430976 119.930853 \nL 94.019342 119.762694 \nL 95.637399 119.789635 \nL 97.260486 120.000983 \nL 98.866014 120.383013 \nL 100.433839 120.919838 \nL 101.946493 121.594244 \nL 103.389242 122.388436 \nL 104.750034 123.28467 \nL 106.019352 124.265754 \nL 108.256819 126.41861 \nL 110.067067 128.731849 \nL 111.439556 131.111913 \nL 112.379448 133.485993 \nL 112.900661 135.798763 \nL 113.020663 138.008207 \nL 112.756955 140.081351 \nL 112.125109 141.990353 \nL 111.138132 143.709039 \nL 109.807005 145.209938 \nL 108.142337 146.461744 \nL 106.157094 147.427294 \nL 103.870467 148.062259 \nL 101.312876 148.314854 \nL 99.946497 148.279859 \nL 98.531932 148.127316 \nL 97.078885 147.84973 \nL 95.59893 147.43991 \nL 94.105665 146.891323 \nL 92.6148 146.1985 \nL 91.14418 145.357497 \nL 89.713712 144.366446 \nL 88.345164 143.226119 \nL 87.061814 141.940527 \nL 85.887946 140.517457 \nL 84.848184 138.968941 \nL 83.966665 137.311567 \nL 83.266083 135.566594 \nL 82.766668 133.759776 \nL 82.485129 131.920886 \nL 82.433684 130.082917 \nL 82.619241 128.280958 \nL 83.042812 126.550825 \nL 83.699242 124.92755 \nL 84.577282 123.443794 \nL 85.660007 122.128398 \nL 86.925561 121.005155 \nL 88.348158 120.091885 \nL 89.899245 119.399949 \nL 91.548722 118.934185 \nL 93.266152 118.693214 \nL 95.02184 118.670058 \nL 96.787743 118.853074 \nL 98.538174 119.226935 \nL 100.250281 119.773699 \nL 101.904315 120.473832 \nL 103.483726 121.307115 \nL 104.975086 122.253411 \nL 106.367908 123.293277 \nL 107.654388 124.408397 \nL 108.829093 125.581887 \nL 110.831292 128.044468 \nL 112.365805 130.57836 \nL 113.441402 133.105394 \nL 114.076202 135.567827 \nL 114.291652 137.923362 \nL 114.108456 140.140182 \nL 113.544245 142.192532 \nL 112.612678 144.056848 \nL 111.323772 145.708459 \nL 109.68536 147.118718 \nL 107.705672 148.252555 \nL 105.397095 149.066578 \nL 104.125705 149.33752 \nL 102.781255 149.507951 \nL 101.368938 149.569852 \nL 99.895386 149.51477 \nL 98.36892 149.333985 \nL 96.799794 149.018728 \nL 95.200429 148.560487 \nL 93.585597 147.951397 \nL 91.972563 147.184704 \nL 90.381128 146.255344 \nL 88.83355 145.160581 \nL 87.354338 143.900717 \nL 85.969838 142.479796 \nL 84.707639 140.906299 \nL 83.59578 139.193723 \nL 82.661742 137.360971 \nL 81.931294 135.432501 \nL 81.427235 133.438102 \nL 81.168138 131.412295 \nL 81.167166 129.393322 \nL 81.431112 127.421725 \nL 81.959752 125.538646 \nL 82.745591 123.783932 \nL 83.774037 122.194228 \nL 85.024048 120.801235 \nL 86.469105 119.630302 \nL 88.078522 118.699452 \nL 89.818895 118.018967 \nL 91.655594 117.591442 \nL 93.554176 117.41238 \nL 95.481612 117.471107 \nL 97.407278 117.751954 \nL 99.303656 118.235545 \nL 101.146786 118.900077 \nL 102.916456 119.722521 \nL 104.596186 120.679631 \nL 106.173059 121.748761 \nL 107.637425 122.908488 \nL 108.982539 124.139031 \nL 110.204163 125.422485 \nL 111.300159 126.742939 \nL 113.114869 129.441004 \nL 114.437285 132.143607 \nL 115.289706 134.786251 \nL 115.698639 137.323586 \nL 115.689694 139.723509 \nL 115.284513 141.961982 \nL 114.499306 144.018592 \nL 113.344727 145.872859 \nL 111.82687 147.500963 \nL 109.94938 148.872909 \nL 108.877018 149.451126 \nL 107.716713 149.949978 \nL 106.469906 150.362926 \nL 105.138746 150.682677 \nL 103.726327 150.901163 \nL 102.236942 151.009589 \nL 100.676359 150.998505 \nL 99.052124 150.857931 \nL 97.373864 150.577565 \nL 95.653584 150.147074 \nL 93.905939 149.556489 \nL 92.148464 148.796697 \nL 90.401712 147.86007 \nL 88.689268 146.741205 \nL 87.037613 145.437732 \nL 85.47578 143.951224 \nL 84.034776 142.288074 \nL 82.746739 140.460318 \nL 81.643843 138.486289 \nL 80.756961 136.390972 \nL 80.114172 134.205984 \nL 79.739178 131.969065 \nL 79.649792 129.723046 \nL 79.856624 127.514285 \nL 80.362129 125.390668 \nL 81.160117 123.399301 \nL 82.235821 121.58411 \nL 83.566531 119.9836 \nL 85.122734 118.628943 \nL 86.869654 117.542678 \nL 88.769038 116.738029 \nL 90.781 116.218928 \nL 92.865775 115.980647 \nL 94.985258 116.010947 \nL 97.10423 116.291549 \nL 99.191222 116.799723 \nL 101.219045 117.509918 \nL 103.165017 118.395234 \nL 105.010893 119.428652 \nL 106.742643 120.584053 \nL 108.350064 121.83693 \nL 109.826321 123.164866 \nL 111.167454 124.547793 \nL 112.371878 125.968092 \nL 113.439912 127.410534 \nL 115.174995 130.312074 \nL 116.397838 133.172171 \nL 117.141071 135.936283 \nL 117.437756 138.568269 \nL 117.316887 141.043914 \nL 116.800907 143.345599 \nL 115.904769 145.457897 \nL 114.636203 147.363908 \nL 112.997029 149.042045 \nL 112.037971 149.78689 \nL 110.985501 150.463029 \nL 109.839423 151.065144 \nL 108.599835 151.587094 \nL 107.267333 152.021852 \nL 105.843229 152.361455 \nL 104.329817 152.596981 \nL 102.730669 152.718544 \nL 101.05096 152.715354 \nL 99.297824 152.575843 \nL 97.480729 152.287845 \nL 95.611858 151.838914 \nL 93.706466 151.21673 \nL 91.783206 150.409679 \nL 89.864358 149.407539 \nL 87.975922 148.202381 \nL 86.147539 146.789551 \nL 84.41216 145.168804 \nL 82.805417 143.345441 \nL 81.36468 141.331405 \nL 80.12774 139.146199 \nL 79.131206 136.817446 \nL 78.408637 134.380999 \nL 77.988556 131.880417 \nL 77.892511 129.365744 \nL 78.133388 126.891587 \nL 78.714169 124.51459 \nL 79.627315 122.290501 \nL 80.854869 120.271093 \nL 82.369297 118.501316 \nL 84.134999 117.016917 \nL 86.110316 115.842837 \nL 88.249807 114.992495 \nL 90.506599 114.467981 \nL 92.834534 114.261041 \nL 95.190005 114.35466 \nL 97.533362 114.725038 \nL 99.829843 115.343676 \nL 102.05007 116.179378 \nL 104.170156 117.200025 \nL 106.171516 118.374036 \nL 108.04046 119.671477 \nL 109.767653 121.064801 \nL 111.3475 122.529298 \nL 112.777521 124.043283 \nL 114.057744 125.588091 \nL 115.190143 127.147939 \nL 116.178133 128.709683 \nL 117.739203 131.797852 \nL 118.78208 134.789409 \nL 119.349357 137.644993 \nL 119.479226 140.341008 \nL 119.202109 142.863182 \nL 118.539103 145.201476 \nL 117.501728 147.346061 \nL 116.092664 149.283895 \nL 114.307375 150.995608 \nL 113.270864 151.758132 \nL 112.13667 152.452433 \nL 110.903535 153.072933 \nL 109.570462 153.613068 \nL 108.136932 154.065199 \nL 106.60316 154.420539 \nL 104.970389 154.66908 \nL 103.241227 154.799584 \nL 101.420035 154.799584 \nL 99.513364 154.655494 \nL 97.530406 154.352787 \nL 95.483493 153.876294 \nL 93.388579 153.210658 \nL 91.265677 152.34097 \nL 89.139234 151.253595 \nL 87.038336 149.937225 \nL 84.996714 148.384124 \nL 83.052434 146.591561 \nL 81.247232 144.563323 \nL 79.625397 142.311194 \nL 78.232193 139.856261 \nL 77.111833 137.229795 \nL 76.305099 134.473527 \nL 75.846748 131.639102 \nL 75.76298 128.786562 \nL 76.069212 125.981885 \nL 76.768452 123.293659 \nL 77.850538 120.789192 \nL 79.292352 118.530466 \nL 81.059049 116.570388 \nL 83.106159 114.949824 \nL 85.382324 113.695636 \nL 87.83232 112.820077 \nL 90.40007 112.321314 \nL 93.031342 112.185051 \nL 95.675924 112.386842 \nL 98.289182 112.894805 \nL 100.832989 113.672348 \nL 103.276088 114.680727 \nL 105.594 115.881175 \nL 107.768579 117.236548 \nL 109.787358 118.712494 \nL 111.642776 120.278171 \nL 113.331362 121.906581 \nL 114.852945 123.574609 \nL 116.209916 125.262872 \nL 117.406575 126.955423 \nL 118.448557 128.63937 \nL 119.342351 130.304501 \nL 120.713272 133.548411 \nL 121.574946 136.644323 \nL 121.978134 139.569704 \nL 121.964458 142.314354 \nL 121.56431 144.874441 \nL 120.796222 147.248071 \nL 119.667216 149.431837 \nL 118.173833 151.417795 \nL 116.303806 153.190609 \nL 115.221884 153.989506 \nL 114.038484 154.724415 \nL 112.750856 155.389883 \nL 111.356382 155.979343 \nL 109.852787 156.484978 \nL 108.2384 156.897597 \nL 106.512459 157.206524 \nL 104.675482 157.399489 \nL 102.729701 157.462599 \nL 100.67956 157.380317 \nL 98.532272 157.135583 \nL 96.298446 156.710027 \nL 93.99273 156.084347 \nL 91.634473 155.238929 \nL 89.248327 154.154687 \nL 86.864729 152.814224 \nL 84.520183 151.203279 \nL 82.257201 149.312508 \nL 80.123827 147.139459 \nL 78.172588 144.69071 \nL 76.458804 141.983884 \nL 75.038238 139.049309 \nL 73.964125 135.931016 \nL 73.283774 132.686695 \nL 73.035016 129.386375 \nL 73.242894 126.109669 \nL 73.917062 122.941672 \nL 75.050255 119.967817 \nL 76.618131 117.268291 \nL 78.580595 114.912609 \nL 80.884439 112.955161 \nL 83.466964 111.432226 \nL 86.260113 110.36077 \nL 89.194613 109.739092 \nL 92.203656 109.548969 \nL 95.225869 109.758897 \nL 98.20734 110.327859 \nL 101.102779 111.209155 \nL 103.875855 112.353828 \nL 106.498941 113.713528 \nL 108.95239 115.242615 \nL 111.223574 116.8996 \nL 113.305794 118.647903 \nL 115.197187 120.456147 \nL 116.899685 122.298068 \nL 118.418088 124.152176 \nL 119.75925 126.001265 \nL 120.931396 127.831879 \nL 121.943553 129.633733 \nL 123.525398 133.122841 \nL 124.578054 136.431103 \nL 125.167257 139.543508 \nL 125.346907 142.458285 \nL 125.157193 145.180503 \nL 124.624179 147.717669 \nL 123.760243 150.076567 \nL 122.564955 152.260796 \nL 121.026222 154.268513 \nL 119.121707 156.090003 \nL 116.820718 157.704743 \nL 115.510319 158.424316 \nL 114.086964 159.077682 \nL 112.545944 159.657418 \nL 110.882871 160.154561 \nL 109.093961 160.558403 \nL 107.176395 160.856314 \nL 105.12877 161.033557 \nL 102.951621 161.073159 \nL 100.648071 160.95582 \nL 98.224567 160.659959 \nL 95.69172 160.161894 \nL 93.065224 159.436232 \nL 90.366815 158.456574 \nL 87.625204 157.196572 \nL 84.876875 155.631423 \nL 82.166632 153.739869 \nL 79.547697 151.506677 \nL 77.081189 148.925559 \nL 74.834755 146.002331 \nL 72.880244 142.758006 \nL 71.290307 139.231419 \nL 70.134023 135.480758 \nL 69.471873 131.5835 \nL 69.350496 127.634268 \nL 69.797942 123.740393 \nL 70.820148 120.015378 \nL 72.399265 116.570893 \nL 74.494241 113.50831 \nL 77.04368 110.911042 \nL 79.970549 108.838716 \nL 83.188078 107.324082 \nL 86.605974 106.372863 \nL 90.136154 105.966264 \nL 93.69739 106.065457 \nL 97.218563 106.617204 \nL 100.640477 107.559617 \nL 103.916404 108.827452 \nL 107.01163 110.356422 \nL 109.902366 112.086377 \nL 112.574253 113.963307 \nL 115.020753 115.940413 \nL 117.241563 117.978343 \nL 119.241156 120.044925 \nL 121.0275 122.114548 \nL 122.610987 124.167354 \nL 124.003538 126.188387 \nL 125.217899 128.16676 \nL 127.163955 131.967807 \nL 128.549603 135.538045 \nL 129.46469 138.871026 \nL 129.984121 141.974894 \nL 130.166394 144.865101 \nL 130.053768 147.559902 \nL 129.673226 150.077588 \nL 129.037701 152.434799 \nL 128.147253 154.64535 \nL 126.990037 156.71925 \nL 125.543016 158.661574 \nL 123.772504 160.470953 \nL 121.634725 162.13735 \nL 119.076708 163.638792 \nL 116.038106 164.936651 \nL 114.318559 165.491048 \nL 112.454874 165.96911 \nL 110.439591 166.358077 \nL 108.266151 166.642551 \nL 105.92944 166.804154 \nL 103.426477 166.821197 \nL 100.757284 166.668387 \nL 97.925928 166.316668 \nL 94.941783 165.733226 \nL 91.820955 164.881802 \nL 88.587875 163.723413 \nL 85.27694 162.217686 \nL 81.934063 160.3249 \nL 78.617918 158.008933 \nL 75.40056 155.241196 \nL 72.367031 152.005483 \nL 69.61355 148.303475 \nL 67.243927 144.160395 \nL 65.363968 139.629917 \nL 64.074043 134.797222 \nL 63.46031 129.778993 \nL 63.585638 124.719358 \nL 64.481698 119.781375 \nL 66.143649 115.134606 \nL 68.528718 110.940362 \nL 71.559164 107.336941 \nL 75.129254 104.427436 \nL 79.115055 102.272211 \nL 83.385295 100.887069 \nL 87.811578 100.246828 \nL 92.276604 100.29305 \nL 96.679685 100.944015 \nL 100.939517 102.105048 \nL 104.994611 103.67775 \nL 108.801997 105.567266 \nL 112.334919 107.687221 \nL 115.580073 109.962515 \nL 118.534796 112.330408 \nL 121.204482 114.740301 \nL 123.600352 117.152715 \nL 125.737598 119.537873 \nL 127.633912 121.874114 \nL 129.308341 124.146377 \nL 132.069528 128.463521 \nL 134.173033 132.45276 \nL 135.756915 136.114442 \nL 136.939937 139.467573 \nL 137.820431 142.539076 \nL 138.742421 146.681223 \nL 139.519018 151.474575 \nL 141.053214 162.256035 \nL 141.560915 164.301848 \nL 142.213869 166.120494 \nL 143.071536 167.710807 \nL 143.794157 168.638233 \nL 144.670307 169.450922 \nL 145.735088 170.137113 \nL 147.031333 170.679707 \nL 148.611225 171.054474 \nL 150.53805 171.22755 \nL 152.887905 171.152001 \nL 155.751041 170.763201 \nL 159.232114 169.972808 \nL 163.448039 168.661414 \nL 168.521115 166.670591 \nL 171.415234 165.358582 \nL 174.563546 163.796701 \nL 177.973597 161.952573 \nL 181.647375 159.792006 \nL 185.579022 157.280282 \nL 189.75201 154.384225 \nL 194.135817 151.075213 \nL 198.682198 147.333402 \nL 203.321317 143.153241 \nL 207.95818 138.550254 \nL 212.47009 133.568667 \nL 216.706122 128.289086 \nL 220.4898 122.83467 \nL 223.626257 117.373712 \nL 225.914707 112.116109 \nL 227.166328 107.301445 \nL 227.226124 103.177668 \nL 225.9957 99.971794 \nL 223.452262 97.857201 \nL 219.658834 96.924781 \nL 214.761972 97.165988 \nL 208.976189 98.47331 \nL 202.558142 100.658953 \nL 195.776437 103.486606 \nL 188.88368 106.707805 \nL 175.581185 113.458063 \nL 153.980857 124.706053 \nL 137.369092 133.216036 \nL 133.122581 135.625888 \nL 129.781493 137.782588 \nL 127.085236 139.800423 \nL 123.788157 142.684536 \nL 118.990971 147.163882 \nL 116.987227 148.785206 \nL 114.812321 150.258627 \nL 112.405935 151.539644 \nL 109.721765 152.574423 \nL 106.729074 153.297559 \nL 105.112661 153.51811 \nL 103.416897 153.629931 \nL 101.644667 153.620841 \nL 99.801133 153.477841 \nL 97.894105 153.187283 \nL 95.934423 152.735148 \nL 93.936339 152.107454 \nL 91.917859 151.290822 \nL 89.901016 150.273198 \nL 87.912014 149.044771 \nL 85.981174 147.599046 \nL 84.142642 145.934043 \nL 82.433759 144.053598 \nL 80.894097 141.968592 \nL 79.564082 139.698029 \nL 78.483257 137.269781 \nL 77.688244 134.720802 \nL 77.210555 132.096685 \nL 77.074395 129.450435 \nL 77.294738 126.84042 \nL 77.875872 124.327643 \nL 78.810627 121.972475 \nL 80.080409 119.831246 \nL 81.656096 117.952988 \nL 83.499667 116.376759 \nL 85.566425 115.12981 \nL 87.807527 114.226719 \nL 90.17259 113.669631 \nL 92.612088 113.449338 \nL 95.079373 113.547086 \nL 97.532201 113.936784 \nL 99.933747 114.587318 \nL 102.2531 115.464802 \nL 104.465348 116.534535 \nL 106.551341 117.762595 \nL 108.497199 119.117004 \nL 110.293699 120.568526 \nL 111.935593 122.091107 \nL 113.420911 123.662056 \nL 114.750298 125.261985 \nL 115.926407 126.874647 \nL 116.95336 128.486638 \nL 117.836279 130.087085 \nL 119.193215 133.220509 \nL 120.044934 136.225984 \nL 120.436506 139.075041 \nL 120.405745 141.751994 \nL 119.980804 144.248015 \nL 119.179335 146.556563 \nL 118.008711 148.66972 \nL 116.467115 150.575014 \nL 114.545406 152.252381 \nL 113.437814 152.996482 \nL 112.229916 153.671038 \nL 110.919966 154.269967 \nL 109.506541 154.786102 \nL 107.988776 155.211069 \nL 106.366644 155.535205 \nL 104.641287 155.747488 \nL 102.815395 155.835513 \nL 100.893641 155.785506 \nL 98.883165 155.582454 \nL 96.794101 155.210287 \nL 94.640122 154.652255 \nL 92.438977 153.891452 \nL 90.213003 152.911564 \nL 87.98949 151.697828 \nL 85.80091 150.238272 \nL 83.684853 148.525176 \nL 81.683613 146.556716 \nL 79.84332 144.338695 \nL 78.212571 141.886216 \nL 76.840499 139.225057 \nL 75.774361 136.392525 \nL 75.056761 133.437533 \nL 74.722699 130.419659 \nL 74.796776 127.40707 \nL 75.290893 124.473348 \nL 76.202733 121.693458 \nL 77.515326 119.139161 \nL 79.197779 116.874497 \nL 81.207119 114.951815 \nL 83.491034 113.408896 \nL 85.99118 112.267385 \nL 88.64665 111.532744 \nL 91.397226 111.195521 \nL 94.186147 111.233649 \nL 96.962185 111.615368 \nL 99.680997 112.302408 \nL 102.305779 113.252963 \nL 104.807336 114.42437 \nL 107.163711 115.775166 \nL 109.359518 117.266657 \nL 111.385087 118.863862 \nL 113.235558 120.536036 \nL 114.909973 122.256813 \nL 116.410432 124.004063 \nL 117.741332 125.759604 \nL 118.9087 127.508786 \nL 119.919633 129.24004 \nL 121.503247 132.615198 \nL 122.554824 135.837617 \nL 123.132612 138.883438 \nL 123.285443 141.743314 \nL 123.050233 144.415788 \nL 122.451125 146.9025 \nL 121.499651 149.204618 \nL 120.195551 151.319929 \nL 118.528081 153.240165 \nL 116.477861 154.948155 \nL 115.301423 155.713968 \nL 114.019497 156.414567 \nL 112.628603 157.043743 \nL 111.125474 157.594011 \nL 109.507298 158.056457 \nL 107.77201 158.420594 \nL 105.918655 158.674219 \nL 103.947816 158.803315 \nL 101.862121 158.791991 \nL 99.666823 158.622499 \nL 97.370466 158.275368 \nL 94.985607 157.729698 \nL 92.529574 156.963649 \nL 90.025208 155.955208 \nL 87.501548 154.683282 \nL 84.994325 153.129133 \nL 82.546179 151.278182 \nL 80.20645 149.122205 \nL 78.03039 146.661705 \nL 76.077682 143.908411 \nL 74.410157 140.887516 \nL 73.088743 137.639339 \nL 72.169743 134.22002 \nL 71.700757 130.700789 \nL 71.716636 127.165622 \nL 72.235997 123.707165 \nL 73.258834 120.421234 \nL 74.765625 117.400382 \nL 76.718206 114.727374 \nL 79.062291 112.469452 \nL 81.731346 110.674127 \nL 84.651274 109.367046 \nL 87.745301 108.552092 \nL 90.938438 108.213416 \nL 94.16118 108.318964 \nL 97.3521 108.824813 \nL 100.459394 109.679653 \nL 103.441437 110.82896 \nL 106.266544 112.218472 \nL 108.912205 113.796794 \nL 111.36397 115.517143 \nL 113.614199 117.338352 \nL 115.660788 119.225228 \nL 117.505969 121.148455 \nL 119.155233 123.084194 \nL 120.616397 125.013527 \nL 121.89883 126.9218 \nL 123.012804 128.79796 \nL 124.778043 132.424126 \nL 125.995631 135.853796 \nL 126.74093 139.07361 \nL 127.076533 142.084761 \nL 127.050319 144.896026 \nL 126.695123 147.519184 \nL 126.029251 149.965929 \nL 125.057381 152.245651 \nL 123.771607 154.363591 \nL 122.152509 156.318948 \nL 120.170362 158.102641 \nL 117.786734 159.694356 \nL 114.956913 161.058557 \nL 113.359939 161.638816 \nL 111.63396 162.139266 \nL 109.773861 162.548644 \nL 107.775453 162.853535 \nL 105.635931 163.038145 \nL 103.354464 163.084098 \nL 100.932892 162.970283 \nL 98.37656 162.672819 \nL 95.695284 162.165174 \nL 92.904421 161.41852 \nL 90.026033 160.40241 \nL 87.090039 159.085893 \nL 84.13526 157.439145 \nL 81.210209 155.435733 \nL 78.373395 153.055471 \nL 75.692898 150.287909 \nL 73.244972 147.13618 \nL 71.111425 143.620889 \nL 69.375684 139.783495 \nL 68.117604 135.688459 \nL 67.407358 131.423431 \nL 67.29903 127.096828 \nL 67.824773 122.832515 \nL 68.990489 118.76176 \nL 70.77387 115.013359 \nL 73.125293 111.703171 \nL 75.971585 108.924808 \nL 79.222033 106.742761 \nL 82.77576 105.189111 \nL 86.529292 104.26395 \nL 90.383322 103.939097 \nL 94.247981 104.164087 \nL 98.046266 104.873242 \nL 101.715697 105.992724 \nL 105.208489 107.446715 \nL 108.490607 109.162252 \nL 111.540179 111.072549 \nL 114.345564 113.118937 \nL 116.903377 115.251666 \nL 119.216632 117.429841 \nL 121.293085 119.620822 \nL 123.143845 121.799294 \nL 124.782211 123.946207 \nL 126.22276 126.047724 \nL 128.570944 130.079441 \nL 130.307277 133.853362 \nL 131.540398 137.361176 \nL 132.363159 140.612715 \nL 132.850765 143.626832 \nL 133.061017 146.425969 \nL 133.035607 149.033061 \nL 132.8018 151.469855 \nL 132.374084 153.75603 \nL 131.755562 155.908757 \nL 130.938964 157.94244 \nL 129.907246 159.868402 \nL 128.633791 161.694386 \nL 127.082293 163.423657 \nL 125.206418 165.05347 \nL 122.949484 166.572626 \nL 120.244524 167.957664 \nL 117.015343 169.167211 \nL 115.178544 169.686403 \nL 113.179673 170.133833 \nL 111.008633 170.495169 \nL 108.656144 170.752881 \nL 106.114379 170.885745 \nL 103.377777 170.868326 \nL 100.444108 170.670512 \nL 97.31579 170.257154 \nL 94.001502 169.587907 \nL 90.51809 168.617454 \nL 86.892727 167.29625 \nL 83.165225 165.572073 \nL 79.390288 163.392608 \nL 75.639403 160.709351 \nL 72.001922 157.48297 \nL 68.584698 153.690106 \nL 65.509702 149.331282 \nL 62.908948 144.439052 \nL 60.916454 139.085059 \nL 59.657432 133.384182 \nL 59.235647 127.493806 \nL 59.720729 121.606772 \nL 61.137709 115.937546 \nL 63.461179 110.703005 \nL 66.615705 106.100667 \nL 70.482785 102.288546 \nL 74.913122 99.370479 \nL 79.741786 97.389548 \nL 84.803388 96.330224 \nL 89.94484 96.127679 \nL 95.03422 96.68153 \nL 99.965397 97.870895 \nL 104.658973 99.568159 \nL 109.060524 101.649867 \nL 113.137261 104.004134 \nL 116.874037 106.534711 \nL 120.269363 109.162427 \nL 123.331815 111.824726 \nL 126.077007 114.474009 \nL 128.525172 117.07548 \nL 130.699287 119.604812 \nL 132.623662 122.045951 \nL 135.821282 126.629518 \nL 138.307254 130.797624 \nL 140.252086 134.56199 \nL 142.469049 139.517608 \nL 146.215289 148.428614 \nL 147.261655 150.405442 \nL 148.403644 152.154727 \nL 149.691532 153.678589 \nL 151.175271 154.971099 \nL 152.906775 156.017349 \nL 154.941673 156.792063 \nL 157.340345 157.257685 \nL 160.167915 157.361966 \nL 163.492578 157.035245 \nL 165.362475 156.68309 \nL 167.381239 156.187943 \nL 169.555631 155.535308 \nL 171.89093 154.709488 \nL 174.390277 153.693801 \nL 177.053865 152.470964 \nL 179.877953 151.023672 \nL 182.853689 149.335458 \nL 185.965778 147.391868 \nL 189.191001 145.182035 \nL 192.496683 142.700649 \nL 195.839217 139.950362 \nL 199.162851 136.944508 \nL 202.398989 133.709975 \nL 205.466329 130.289947 \nL 208.272202 126.745975 \nL 210.715487 123.158816 \nL 212.691302 119.627366 \nL 214.097533 116.265003 \nL 214.842885 113.193053 \nL 214.85568 110.531488 \nL 214.092287 108.387714 \nL 212.543743 106.845017 \nL 210.239207 105.952705 \nL 207.245275 105.720028 \nL 203.660948 106.115326 \nL 199.608962 107.070737 \nL 195.224919 108.491558 \nL 190.646046 110.268241 \nL 186.001255 112.28871 \nL 176.946482 116.660002 \nL 168.716859 120.977709 \nL 161.643953 124.915884 \nL 155.808133 128.390225 \nL 151.135087 131.452481 \nL 147.474561 134.203258 \nL 144.651756 136.741124 \nL 142.496128 139.1416 \nL 140.855183 141.453684 \nL 139.599384 143.704319 \nL 138.62221 145.90498 \nL 137.495869 149.115529 \nL 134.476485 158.896497 \nL 133.303786 161.528951 \nL 132.352645 163.20876 \nL 131.223737 164.830605 \nL 129.874853 166.395329 \nL 128.256591 167.901394 \nL 126.310693 169.342876 \nL 123.968575 170.706434 \nL 121.150347 171.966796 \nL 117.764997 173.080018 \nL 113.71288 173.973661 \nL 111.404843 174.304408 \nL 108.892611 174.532986 \nL 106.165623 174.635443 \nL 103.215685 174.582706 \nL 100.038222 174.339888 \nL 96.633886 173.865706 \nL 93.010558 173.112135 \nL 89.185769 172.024467 \nL 85.189502 170.542077 \nL 81.067256 168.600187 \nL 76.883128 166.133047 \nL 72.722455 163.078918 \nL 68.69342 159.387135 \nL 64.92672 155.027249 \nL 61.572386 149.999811 \nL 58.792817 144.347484 \nL 56.751611 138.164555 \nL 55.598563 131.601966 \nL 55.452417 124.865064 \nL 56.384101 118.201998 \nL 58.404105 111.882691 \nL 61.457171 106.170945 \nL 65.426306 101.294883 \nL 70.145583 97.421797 \nL 75.419135 94.642792 \nL 81.042181 92.969845 \nL 86.820001 92.344461 \nL 92.58201 92.654579 \nL 98.189794 93.754945 \nL 103.539516 95.486861 \nL 108.560121 97.694251 \nL 113.208991 100.234835 \nL 117.466519 102.986436 \nL 121.33066 105.849317 \nL 124.812072 108.745621 \nL 127.930077 111.617163 \nL 130.709507 114.422377 \nL 133.178328 117.133098 \nL 135.365906 119.731559 \nL 139.014854 124.557384 \nL 141.881673 128.877797 \nL 144.168 132.715594 \nL 150.569365 144.034287 \nL 152.043466 146.019181 \nL 153.632972 147.701028 \nL 155.403733 149.079135 \nL 157.417145 150.141385 \nL 158.533297 150.546941 \nL 159.732009 150.863365 \nL 161.020314 151.085514 \nL 162.405046 151.207358 \nL 163.892756 151.22195 \nL 165.489566 151.121422 \nL 167.200984 150.897009 \nL 169.03164 150.539099 \nL 170.984965 150.037338 \nL 173.062776 149.380803 \nL 175.264774 148.558274 \nL 177.587951 147.558608 \nL 180.025889 146.371279 \nL 182.567976 144.987064 \nL 185.198548 143.398954 \nL 187.896011 141.603276 \nL 190.631985 139.600994 \nL 193.370575 137.399224 \nL 196.067881 135.012828 \nL 198.67192 132.465972 \nL 201.123099 129.793462 \nL 203.355442 127.041579 \nL 205.298711 124.268112 \nL 206.881501 121.541283 \nL 208.035239 118.937303 \nL 208.698921 116.536443 \nL 208.824144 114.417823 \nL 208.379878 112.653236 \nL 207.356282 111.300886 \nL 205.766949 110.399848 \nL 203.649047 109.966264 \nL 201.061204 109.992025 \nL 198.079339 110.446177 \nL 194.791029 111.278859 \nL 191.289175 112.427098 \nL 187.66584 113.821379 \nL 184.006996 115.391998 \nL 176.874258 118.812629 \nL 170.345666 122.288233 \nL 164.673274 125.589293 \nL 159.944027 128.629819 \nL 156.134364 131.412716 \nL 153.159366 133.980331 \nL 150.908458 136.382133 \nL 149.267976 138.658634 \nL 148.133826 140.836326 \nL 147.417544 142.928353 \nL 147.048354 144.937464 \nL 146.973016 146.859171 \nL 147.154592 148.684319 \nL 147.570853 150.400732 \nL 148.212733 151.993975 \nL 149.083031 153.447403 \nL 150.195458 154.741535 \nL 151.574003 155.852946 \nL 153.252536 156.752619 \nL 155.274475 157.403821 \nL 157.692208 157.759496 \nL 160.565795 157.759197 \nL 163.960189 157.325844 \nL 167.939792 156.362855 \nL 170.166728 155.646885 \nL 172.558632 154.75302 \nL 175.117936 153.663883 \nL 177.843872 152.361619 \nL 180.731413 150.828549 \nL 183.770018 149.048124 \nL 186.942217 147.006218 \nL 190.222067 144.692841 \nL 193.573581 142.104285 \nL 196.949247 139.24568 \nL 200.288881 136.133852 \nL 203.51911 132.800299 \nL 206.553777 129.29387 \nL 209.295727 125.682635 \nL 211.640265 122.054302 \nL 213.480508 118.51442 \nL 214.71459 115.181833 \nL 215.25423 112.181097 \nL 215.033832 109.632186 \nL 214.018767 107.63868 \nL 212.211352 106.276087 \nL 209.653211 105.582669 \nL 206.423191 105.554673 \nL 202.630922 106.147237 \nL 198.406993 107.280929 \nL 193.891437 108.852479 \nL 189.222418 110.747563 \nL 184.526762 112.853094 \nL 175.469345 117.30534 \nL 167.32924 121.618948 \nL 160.392275 125.511019 \nL 154.704689 128.928886 \nL 150.171081 131.941213 \nL 146.630244 134.654464 \nL 143.90298 137.166919 \nL 141.818078 139.551363 \nL 140.224214 141.853699 \nL 138.993698 144.098317 \nL 138.021858 146.294945 \nL 136.869168 149.501081 \nL 134.242168 157.442534 \nL 133.032854 160.167515 \nL 132.063724 161.906713 \nL 130.920508 163.584855 \nL 129.560504 165.201814 \nL 127.934424 166.755142 \nL 125.984722 168.238019 \nL 123.644171 169.636231 \nL 120.835001 170.923686 \nL 117.469227 172.055811 \nL 113.451333 172.960036 \nL 111.167524 173.293178 \nL 108.685287 173.522552 \nL 105.994912 173.624655 \nL 103.089106 173.571082 \nL 99.964195 173.327905 \nL 96.621685 172.855167 \nL 93.07017 172.1066 \nL 89.327623 171.02978 \nL 85.424036 169.566924 \nL 81.404274 167.656668 \nL 77.330892 165.237173 \nL 73.286533 162.250888 \nL 69.375278 158.651242 \nL 65.722199 154.411194 \nL 62.470212 149.533225 \nL 59.77347 144.059562 \nL 57.786906 138.08079 \nL 56.652304 131.740366 \nL 56.482334 125.232416 \nL 57.345091 118.791034 \nL 59.252317 112.670955 \nL 62.154286 107.122043 \nL 65.943131 102.361941 \nL 70.464295 98.55265 \nL 75.533779 95.785742 \nL 80.957537 94.078816 \nL 86.54931 93.38267 \nL 92.144168 93.596309 \nL 97.606598 94.585571 \nL 102.83337 96.201538 \nL 107.752354 98.29587 \nL 112.31881 100.731769 \nL 116.510485 103.390447 \nL 120.322551 106.17383 \nL 123.762981 109.00444 \nL 126.848647 111.823596 \nL 129.602225 114.588729 \nL 132.049826 117.270416 \nL 134.219244 119.849552 \nL 137.83598 124.660859 \nL 140.669575 128.991887 \nL 142.915913 132.859165 \nL 145.546264 137.870302 \nL 148.355736 143.279281 \nL 149.688272 145.50788 \nL 151.078803 147.445319 \nL 152.594634 149.099463 \nL 154.297626 150.468059 \nL 156.246999 151.53797 \nL 158.501186 152.284131 \nL 159.76082 152.524392 \nL 161.118483 152.668234 \nL 162.581279 152.708573 \nL 164.156061 152.637329 \nL 165.849257 152.445429 \nL 167.66663 152.122814 \nL 169.612977 151.658508 \nL 171.69173 151.040732 \nL 173.904469 150.257121 \nL 176.250329 149.29504 \nL 178.725278 148.142043 \nL 181.321307 146.78653 \nL 184.025492 145.218585 \nL 186.819004 143.431087 \nL 189.676077 141.421056 \nL 192.56306 139.19125 \nL 195.437636 136.751956 \nL 198.248367 134.122848 \nL 200.934788 131.334758 \nL 203.428244 128.431059 \nL 205.653652 125.468352 \nL 207.532395 122.516022 \nL 208.986337 119.654371 \nL 209.942871 116.971002 \nL 210.340612 114.555489 \nL 210.135177 112.492665 \nL 209.304256 110.855213 \nL 207.851169 109.696604 \nL 205.806158 109.045631 \nL 203.225069 108.903477 \nL 200.18541 109.244111 \nL 196.780357 110.017838 \nL 193.111577 111.157455 \nL 189.2819 112.585841 \nL 185.388821 114.223642 \nL 177.747445 117.837255 \nL 170.714554 121.526493 \nL 164.58608 125.017626 \nL 159.466755 128.208031 \nL 155.333073 131.102286 \nL 152.09059 133.752761 \nL 149.615269 136.220549 \nL 147.779254 138.556203 \nL 146.465032 140.793761 \nL 145.572001 142.951722 \nL 145.018508 145.036686 \nL 144.741408 147.047289 \nL 144.694447 148.977398 \nL 144.84625 150.818326 \nL 145.17837 152.560072 \nL 145.683632 154.191806 \nL 146.364891 155.701747 \nL 147.234224 157.076593 \nL 148.312539 158.300576 \nL 149.629551 159.354147 \nL 151.224033 160.212255 \nL 153.144187 160.84216 \nL 155.447919 161.200675 \nL 158.202588 161.230797 \nL 161.483602 160.857747 \nL 165.370736 159.98478 \nL 167.565959 159.323694 \nL 169.940479 158.489731 \nL 172.50103 157.463532 \nL 175.251855 156.22441 \nL 178.193665 154.750798 \nL 181.322357 153.020985 \nL 184.627474 151.014224 \nL 188.090431 148.712288 \nL 191.682541 146.101583 \nL 195.362959 143.175847 \nL 199.076705 139.939451 \nL 202.753093 136.411153 \nL 206.3049 132.628051 \nL 209.628818 128.649212 \nL 212.607694 124.558224 \nL 215.115078 120.463731 \nL 217.022353 116.496894 \nL 218.208367 112.804951 \nL 218.570878 109.54052 \nL 218.038446 106.847339 \nL 216.580847 104.844137 \nL 214.21587 103.609566 \nL 211.010696 103.171299 \nL 207.077058 103.502169 \nL 202.560731 104.524438 \nL 197.627234 106.121448 \nL 192.44641 108.153936 \nL 187.178488 110.477469 \nL 176.915778 115.480654 \nL 167.636398 120.332595 \nL 156.303173 126.561347 \nL 150.498093 129.973851 \nL 145.917934 132.93278 \nL 142.351049 135.581644 \nL 139.583786 138.036754 \nL 137.421835 140.377097 \nL 135.698008 142.648662 \nL 134.272827 144.873324 \nL 131.880274 149.198892 \nL 129.544442 153.324923 \nL 128.232577 155.291937 \nL 126.748044 157.181724 \nL 125.034723 158.982075 \nL 123.034689 160.676753 \nL 120.686653 162.242525 \nL 117.925489 163.644996 \nL 114.6834 164.832951 \nL 112.860944 165.324076 \nL 110.893688 165.730866 \nL 108.77475 166.038557 \nL 106.498615 166.229624 \nL 104.061772 166.283456 \nL 101.463491 166.176075 \nL 98.706792 165.879946 \nL 95.799592 165.363959 \nL 92.756043 164.593656 \nL 89.598007 163.531845 \nL 86.356625 162.139729 \nL 83.073811 160.378712 \nL 79.803515 158.21302 \nL 76.612465 155.61322 \nL 73.580028 152.56065 \nL 70.796831 149.052536 \nL 68.361766 145.107369 \nL 66.377136 140.769825 \nL 64.942006 136.114192 \nL 64.144097 131.245208 \nL 64.051135 126.295289 \nL 64.70287 121.417571 \nL 66.105216 116.775083 \nL 68.227708 112.527149 \nL 71.005101 108.815168 \nL 74.342894 105.75007 \nL 78.125958 103.403646 \nL 82.228706 101.805073 \nL 86.525167 100.942715 \nL 90.89754 100.770315 \nL 95.242362 101.215938 \nL 99.474067 102.191821 \nL 103.526124 103.603628 \nL 107.35037 105.358053 \nL 110.915111 107.368341 \nL 114.202614 109.557704 \nL 117.206429 111.860892 \nL 119.928818 114.224438 \nL 122.378485 116.605965 \nL 124.568658 118.972951 \nL 126.515537 121.301275 \nL 128.23706 123.573746 \nL 129.751967 125.778704 \nL 132.236872 129.96009 \nL 134.113932 133.821625 \nL 135.511312 137.369476 \nL 136.53771 140.624609 \nL 137.281981 143.613982 \nL 138.019348 147.660818 \nL 138.451054 151.260221 \nL 138.74146 155.489286 \nL 138.85202 160.872586 \nL 138.718744 166.05034 \nL 138.40654 169.772951 \nL 137.939175 172.487925 \nL 137.347575 174.46549 \nL 136.713214 175.86403 \nL 135.847012 177.212351 \nL 134.661163 178.531929 \nL 133.634531 179.406331 \nL 132.365418 180.28312 \nL 130.79531 181.166047 \nL 128.851848 182.055118 \nL 126.446094 182.943329 \nL 123.469862 183.811253 \nL 119.793799 184.618207 \nL 115.267745 185.288179 \nL 112.634551 185.533233 \nL 109.726344 185.688089 \nL 106.522741 185.721952 \nL 103.005476 185.595831 \nL 99.160236 185.260962 \nL 94.979178 184.657208 \nL 90.464285 183.711666 \nL 85.631689 182.337801 \nL 80.517018 180.435671 \nL 75.181637 177.894026 \nL 69.71937 174.595264 \nL 64.262856 170.424415 \nL 58.98801 165.283197 \nL 54.114423 159.109526 \nL 49.899027 151.901546 \nL 46.620512 143.742907 \nL 44.55328 134.823374 \nL 43.932546 125.446636 \nL 44.916078 116.017297 \nL 47.551613 107.003146 \nL 51.759977 98.876374 \nL 57.340718 92.046232 \nL 64.000269 86.800788 \nL 71.395091 83.273354 \nL 79.17806 81.440762 \nL 87.036876 81.149748 \nL 94.718114 82.160057 \nL 102.036066 84.190952 \nL 108.869709 86.960814 \nL 115.152657 90.21464 \nL 120.860567 93.738938 \nL 125.998932 97.366353 \nL 130.592877 100.973348 \nL 134.679338 104.474197 \nL 138.301495 107.813554 \nL 141.504996 110.959134 \nL 146.837299 116.618019 \nL 151.019268 121.440848 \nL 160.502118 132.859994 \nL 162.553337 134.884417 \nL 164.561455 136.457024 \nL 166.614258 137.605347 \nL 168.776179 138.343755 \nL 171.090532 138.676232 \nL 173.580059 138.599694 \nL 176.245796 138.108172 \nL 179.064475 137.198197 \nL 181.984957 135.875742 \nL 184.924727 134.164543 \nL 187.76802 132.115221 \nL 190.3678 129.81344 \nL 192.554003 127.384224 \nL 193.436416 126.171108 \nL 194.149852 124.988876 \nL 194.675146 123.861134 \nL 194.996031 122.811449 \nL 195.100036 121.862369 \nL 194.979297 121.034412 \nL 194.631167 120.345071 \nL 194.058598 119.807935 \nL 193.270218 119.432055 \nL 192.280112 119.221555 \nL 191.107284 119.175591 \nL 189.77486 119.288605 \nL 188.309099 119.550906 \nL 185.091537 120.468762 \nL 181.685021 121.801611 \nL 178.302909 123.412882 \nL 175.120056 125.18006 \nL 172.26364 127.00688 \nL 169.814267 128.825344 \nL 167.813461 130.591074 \nL 166.273748 132.27604 \nL 165.18865 133.86143 \nL 164.54112 135.332073 \nL 164.309909 136.672738 \nL 164.473859 137.865948 \nL 165.014407 138.890906 \nL 165.916561 139.723091 \nL 167.168621 140.334262 \nL 168.760781 140.692817 \nL 170.682668 140.764528 \nL 172.919773 140.513965 \nL 175.448759 139.906908 \nL 178.231647 138.914236 \nL 181.209198 137.517752 \nL 184.294168 135.718137 \nL 187.36589 133.544692 \nL 190.268376 131.065467 \nL 192.81488 128.394954 \nL 193.89105 127.036872 \nL 194.801708 125.694968 \nL 195.522743 124.395158 \nL 196.03251 123.164244 \nL 196.312965 122.028844 \nL 196.350731 121.014169 \nL 196.138012 120.142772 \nL 195.673292 119.433348 \nL 194.961691 118.899742 \nL 194.014961 118.550224 \nL 192.85109 118.387153 \nL 191.493537 118.407046 \nL 189.970164 118.601076 \nL 188.311969 118.955869 \nL 184.722532 120.078122 \nL 180.984827 121.618875 \nL 177.330157 123.421965 \nL 173.939834 125.354923 \nL 170.93844 127.319731 \nL 168.398376 129.251808 \nL 166.350545 131.11238 \nL 164.796763 132.879099 \nL 163.721155 134.537803 \nL 163.099249 136.076579 \nL 162.904523 137.482142 \nL 163.112611 138.737888 \nL 163.703613 139.82305 \nL 164.662858 140.712421 \nL 165.980424 141.3764 \nL 167.649572 141.781263 \nL 169.664088 141.889724 \nL 172.014501 141.662137 \nL 174.682988 141.058715 \nL 177.636936 140.043359 \nL 180.821292 138.58972 \nL 184.150349 136.689934 \nL 187.500357 134.365952 \nL 190.705519 131.682179 \nL 193.560844 128.75633 \nL 194.785609 127.255215 \nL 195.835712 125.763417 \nL 196.682704 124.310273 \nL 197.300551 122.92662 \nL 197.667002 121.643521 \nL 197.764928 120.490817 \nL 197.583539 119.495563 \nL 197.119299 118.680509 \nL 196.376494 118.062769 \nL 195.367321 117.652862 \nL 194.111479 117.454182 \nL 192.63531 117.463035 \nL 190.970511 117.66918 \nL 189.152598 118.056843 \nL 187.219218 118.606043 \nL 183.157389 120.097075 \nL 179.069757 121.954293 \nL 175.190783 124.008021 \nL 171.688733 126.128198 \nL 168.666406 128.228341 \nL 166.17217 130.258159 \nL 164.21491 132.191714 \nL 162.77858 134.016225 \nL 161.834187 135.723605 \nL 161.348614 137.305171 \nL 161.290489 138.748812 \nL 161.633649 140.037758 \nL 162.358744 141.150189 \nL 163.453441 142.059195 \nL 164.911503 142.732847 \nL 166.730846 143.134351 \nL 168.910538 143.222439 \nL 171.446567 142.952396 \nL 174.326124 142.278199 \nL 177.520231 141.156551 \nL 180.974713 139.553602 \nL 184.600172 137.455071 \nL 188.262494 134.879888 \nL 191.776927 131.896052 \nL 193.407371 130.289218 \nL 194.910188 128.634986 \nL 196.251141 126.960759 \nL 197.395791 125.297852 \nL 198.310904 123.680669 \nL 198.966062 122.145486 \nL 199.335383 120.728861 \nL 199.3992 119.465782 \nL 199.145563 118.387669 \nL 198.571378 117.520464 \nL 197.683037 116.88297 \nL 196.496451 116.485704 \nL 195.036442 116.330356 \nL 193.335523 116.409966 \nL 191.432199 116.709808 \nL 189.368947 117.208821 \nL 187.190097 117.881418 \nL 182.660106 119.634113 \nL 178.163077 121.744176 \nL 173.951937 124.02055 \nL 170.197833 126.32609 \nL 166.995827 128.577317 \nL 164.381095 130.731877 \nL 162.347861 132.772833 \nL 160.86643 134.695227 \nL 159.896414 136.496874 \nL 159.395973 138.173138 \nL 159.327644 139.714491 \nL 159.661604 141.105734 \nL 160.377047 142.325953 \nL 161.462219 143.348633 \nL 162.913469 144.141681 \nL 164.733368 144.667348 \nL 166.927902 144.882199 \nL 169.502468 144.737464 \nL 172.456329 144.180334 \nL 175.775111 143.157016 \nL 179.421091 141.618521 \nL 183.321414 139.530427 \nL 187.355349 136.887384 \nL 189.368796 135.368647 \nL 191.343318 133.732094 \nL 193.246527 131.993972 \nL 195.042482 130.175922 \nL 196.69239 128.305194 \nL 198.1557 126.414509 \nL 199.39154 124.541516 \nL 200.36054 122.727699 \nL 201.026897 121.016781 \nL 201.360589 119.452605 \nL 201.339539 118.076687 \nL 200.951483 116.925581 \nL 200.195336 116.028412 \nL 199.081838 115.404829 \nL 197.633385 115.063685 \nL 195.882977 115.00263 \nL 193.872416 115.208669 \nL 191.649913 115.659652 \nL 189.26739 116.326446 \nL 186.777748 117.175448 \nL 181.678992 119.278808 \nL 176.712746 121.703221 \nL 172.144763 124.237963 \nL 168.139593 126.745427 \nL 164.774586 129.152769 \nL 162.063209 131.431937 \nL 159.978663 133.579256 \nL 158.473293 135.60003 \nL 157.492627 137.49913 \nL 156.984544 139.276437 \nL 156.904683 140.925266 \nL 157.219172 142.43232 \nL 157.905589 143.778118 \nL 158.952745 144.93736 \nL 160.359664 145.87894 \nL 162.133898 146.565631 \nL 164.289091 146.953523 \nL 166.841547 146.991597 \nL 169.805333 146.621851 \nL 173.18536 145.780754 \nL 176.967781 144.403212 \nL 181.107282 142.43049 \nL 183.284374 141.207522 \nL 185.511501 139.823787 \nL 187.767012 138.280904 \nL 190.024348 136.584642 \nL 192.251786 134.745848 \nL 194.41243 132.781338 \nL 196.464521 130.714625 \nL 198.362164 128.576418 \nL 200.056548 126.404662 \nL 201.497686 124.244036 \nL 202.636686 122.144741 \nL 203.428417 120.160519 \nL 203.834468 118.345943 \nL 203.826081 116.753118 \nL 203.386753 115.428111 \nL 202.514169 114.407489 \nL 201.221175 113.715436 \nL 199.535559 113.361907 \nL 197.498638 113.342107 \nL 195.162751 113.63735 \nL 192.587974 114.217238 \nL 189.838452 115.042811 \nL 186.978734 116.070124 \nL 181.170144 118.550315 \nL 175.580929 121.329613 \nL 170.50434 124.164632 \nL 166.106183 126.911179 \nL 162.448792 129.505974 \nL 159.523364 131.936876 \nL 157.279708 134.216018 \nL 155.648956 136.361547 \nL 154.558935 138.387703 \nL 153.943531 140.300902 \nL 153.747768 142.09919 \nL 153.930064 143.773139 \nL 154.462761 145.306983 \nL 155.331676 146.679424 \nL 156.535102 147.863865 \nL 158.082476 148.827996 \nL 159.992689 149.53293 \nL 162.29187 149.931921 \nL 165.010244 149.969093 \nL 168.177445 149.578555 \nL 171.815475 148.684809 \nL 173.813364 148.023653 \nL 175.928289 147.205693 \nL 178.155504 146.220846 \nL 180.487025 145.059914 \nL 182.910911 143.715265 \nL 185.410514 142.181663 \nL 187.963717 140.45728 \nL 190.54224 138.544887 \nL 193.111079 136.453151 \nL 195.628211 134.197969 \nL 198.044669 131.803739 \nL 200.305156 129.304356 \nL 202.349307 126.743724 \nL 204.113738 124.175541 \nL 205.534874 121.66208 \nL 206.552528 119.271863 \nL 207.113999 117.076097 \nL 207.17834 115.144102 \nL 206.720291 113.538121 \nL 205.733371 112.308074 \nL 204.231553 111.487117 \nL 202.249223 111.088597 \nL 199.839262 111.105128 \nL 197.069466 111.509847 \nL 194.017768 112.259736 \nL 190.766893 113.300406 \nL 187.399156 114.571559 \nL 183.991937 116.012274 \nL 177.324705 119.181171 \nL 171.186544 122.445297 \nL 165.821672 125.587199 \nL 161.325672 128.514913 \nL 157.691243 131.217819 \nL 154.851389 133.724271 \nL 152.712072 136.072489 \nL 151.173704 138.295061 \nL 150.143749 140.413259 \nL 149.543207 142.436719 \nL 149.309221 144.365481 \nL 149.395472 146.192443 \nL 149.77143 147.905373 \nL 150.421137 149.488168 \nL 151.341923 150.921235 \nL 152.543246 152.181194 \nL 154.045675 153.239907 \nL 155.879965 154.062936 \nL 158.085966 154.607513 \nL 160.711009 154.820157 \nL 163.807154 154.634134 \nL 167.42639 153.967303 \nL 169.446481 153.423462 \nL 171.612482 152.721362 \nL 173.926417 151.846591 \nL 176.387783 150.784357 \nL 178.992726 149.519977 \nL 181.733088 148.039582 \nL 184.595316 146.331069 \nL 187.559285 144.385345 \nL 190.597059 142.197905 \nL 193.671732 139.770697 \nL 196.736441 137.114256 \nL 199.73379 134.249942 \nL 202.595869 131.212102 \nL 205.245188 128.049781 \nL 207.596763 124.82758 \nL 209.561545 121.625139 \nL 211.051269 118.534804 \nL 211.984538 115.657151 \nL 212.293698 113.094351 \nL 211.931698 110.941872 \nL 210.878007 109.279431 \nL 209.142465 108.162631 \nL 206.766269 107.616792 \nL 203.819647 107.63424 \nL 200.396414 108.17575 \nL 196.606236 109.175946 \nL 192.56579 110.551498 \nL 188.390177 112.21067 \nL 184.185677 114.062423 \nL 176.042297 118.025217 \nL 168.667723 121.945993 \nL 162.330921 125.568493 \nL 157.09804 128.822834 \nL 152.908422 131.744681 \nL 149.637318 134.408877 \nL 147.138 136.890089 \nL 145.266319 139.245878 \nL 143.893102 141.513374 \nL 142.909094 143.712335 \nL 142.225643 145.850124 \nL 141.77321 147.926439 \nL 141.41597 150.915735 \nL 141.340842 153.737039 \nL 141.478711 156.371765 \nL 141.799413 158.805165 \nL 142.302573 161.025353 \nL 143.01285 163.020445 \nL 143.62445 164.217953 \nL 144.369984 165.301934 \nL 145.276021 166.263159 \nL 146.375839 167.088753 \nL 147.710557 167.760778 \nL 149.330474 168.254382 \nL 151.296511 168.53527 \nL 153.681567 168.556369 \nL 156.571406 168.253409 \nL 160.064333 167.539357 \nL 164.268338 166.297842 \nL 169.293445 164.376515 \nL 172.145136 163.102304 \nL 175.23558 161.582805 \nL 178.569668 159.788242 \nL 182.14659 157.687668 \nL 185.957672 155.250335 \nL 189.983766 152.447746 \nL 194.192252 149.256601 \nL 198.53375 145.662772 \nL 202.938834 141.666363 \nL 207.315163 137.287749 \nL 211.545692 132.574177 \nL 215.488869 127.606074 \nL 218.981747 122.501726 \nL 221.847086 117.418514 \nL 223.90499 112.548651 \nL 224.988928 108.107706 \nL 224.964766 104.315421 \nL 223.750045 101.370318 \nL 221.329643 99.422104 \nL 217.763745 98.547957 \nL 213.18524 98.738939 \nL 207.786181 99.900989 \nL 201.79578 101.870691 \nL 195.454744 104.441884 \nL 188.991303 107.396145 \nL 182.603119 110.530069 \nL 170.636072 116.70345 \nL 142.242641 131.666128 \nL 137.569669 134.365104 \nL 133.921189 136.745727 \nL 131.031249 138.945994 \nL 128.672667 141.046831 \nL 125.728719 144.087571 \nL 121.265972 148.858419 \nL 119.338699 150.608255 \nL 117.213344 152.222748 \nL 114.827452 153.662233 \nL 112.128153 154.87723 \nL 109.073579 155.805127 \nL 107.403953 156.137313 \nL 105.637055 156.36638 \nL 103.773167 156.479207 \nL 101.814679 156.461312 \nL 99.766541 156.296903 \nL 97.636772 155.96904 \nL 95.437006 155.459909 \nL 93.183058 154.751299 \nL 90.895462 153.82527 \nL 88.599929 152.665067 \nL 86.327659 151.256311 \nL 84.115401 149.588449 \nL 82.005189 147.656445 \nL 80.043606 145.462609 \nL 78.280546 143.018443 \nL 76.767385 140.346273 \nL 75.554581 137.480431 \nL 74.688816 134.467678 \nL 74.209873 131.366625 \nL 74.14755 128.24596 \nL 74.518949 125.181437 \nL 75.326548 122.25181 \nL 76.557319 119.534056 \nL 78.183128 117.09842 \nL 80.162357 115.003937 \nL 82.442591 113.294901 \nL 84.964041 111.998773 \nL 87.663244 111.125687 \nL 90.476649 110.669448 \nL 93.343736 110.609782 \nL 96.209403 110.915343 \nL 99.025612 111.547085 \nL 101.752221 112.461581 \nL 104.357184 113.613953 \nL 106.816225 114.960232 \nL 109.112158 116.459154 \nL 111.234017 118.073271 \nL 113.176076 119.769597 \nL 114.936878 121.519805 \nL 116.518329 123.300122 \nL 117.924856 125.091016 \nL 119.162707 126.876775 \nL 120.239327 128.645019 \nL 121.16286 130.386216 \nL 122.584359 133.760793 \nL 123.49278 136.964432 \nL 123.946461 139.981359 \nL 123.992548 142.807731 \nL 123.66526 145.445721 \nL 122.98552 147.899256 \nL 121.961401 150.170844 \nL 120.589099 152.258919 \nL 118.854289 154.155283 \nL 116.733987 155.842287 \nL 115.520349 156.598367 \nL 114.19918 157.289464 \nL 112.766558 157.9091 \nL 111.218783 158.449432 \nL 109.552634 158.901111 \nL 107.765676 159.253103 \nL 105.856644 159.492546 \nL 103.825896 159.604635 \nL 101.675949 159.572538 \nL 99.412119 159.377423 \nL 97.043218 158.998578 \nL 94.582344 158.41372 \nL 92.047701 157.599538 \nL 89.463419 156.532507 \nL 86.860274 155.190063 \nL 84.276247 153.552187 \nL 81.756745 151.603401 \nL 79.35435 149.335125 \nL 77.127942 146.748342 \nL 75.141022 143.856273 \nL 73.459179 140.686831 \nL 72.146677 137.284371 \nL 71.262376 133.710303 \nL 70.855237 130.042148 \nL 70.959975 126.370725 \nL 71.593392 122.795463 \nL 72.751997 119.418204 \nL 74.411357 116.33606 \nL 76.527386 113.634404 \nL 79.039413 111.380786 \nL 81.874657 109.620802 \nL 84.953441 108.376277 \nL 88.194453 107.645885 \nL 91.519457 107.407839 \nL 94.856992 107.624054 \nL 98.144892 108.244966 \nL 101.331622 109.214456 \nL 104.376587 110.474175 \nL 107.249655 111.967065 \nL 109.93017 113.639928 \nL 112.405661 115.445011 \nL 114.670456 117.340852 \nL 116.724327 119.292467 \nL 118.571223 121.271088 \nL 120.218174 123.253649 \nL 121.674349 125.222102 \nL 122.950275 127.162701 \nL 124.057218 129.065301 \nL 125.810004 132.730004 \nL 127.021319 136.183936 \nL 127.769981 139.418545 \nL 128.120905 142.438798 \nL 128.123581 145.256505 \nL 127.812036 147.885999 \nL 127.205551 150.341316 \nL 126.309673 152.634259 \nL 125.117252 154.772805 \nL 123.609417 156.759542 \nL 121.756537 158.589732 \nL 119.51938 160.248736 \nL 116.850846 161.708449 \nL 115.338635 162.349929 \nL 113.698943 162.922393 \nL 111.925352 163.416103 \nL 110.011975 163.819291 \nL 107.953843 164.117877 \nL 105.747403 164.295214 \nL 103.391129 164.33183 \nL 100.886283 164.205248 \nL 98.237813 163.889904 \nL 95.455408 163.357233 \nL 92.554686 162.576022 \nL 89.558487 161.513099 \nL 86.49818 160.134519 \nL 83.414859 158.40733 \nL 80.360277 156.302038 \nL 77.397231 153.795819 \nL 74.599156 150.876396 \nL 72.048604 147.546413 \nL 69.834325 143.827848 \nL 68.046842 139.765851 \nL 66.772577 135.431198 \nL 66.086942 130.920435 \nL 66.047126 126.353007 \nL 66.685577 121.865002 \nL 68.005335 117.599859 \nL 69.978164 113.69696 \nL 72.54601 110.27989 \nL 75.625659 107.446103 \nL 79.115903 105.259752 \nL 82.905983 103.748704 \nL 86.884048 102.90578 \nL 90.944462 102.693668 \nL 94.993238 103.052124 \nL 98.951357 103.906107 \nL 102.756097 105.173612 \nL 106.360767 106.772247 \nL 109.733354 108.624204 \nL 112.854536 110.659491 \nL 115.715465 112.81766 \nL 118.315564 115.048272 \nL 120.660529 117.310584 \nL 122.760593 119.572642 \nL 124.629081 121.810157 \nL 126.281256 124.005275 \nL 127.733401 126.145398 \nL 130.103842 130.2303 \nL 131.868767 134.032377 \nL 133.143867 137.55014 \nL 134.027421 140.798534 \nL 134.599138 143.800115 \nL 134.920963 146.579962 \nL 135.038839 149.162927 \nL 134.984773 151.572243 \nL 134.778816 153.828904 \nL 134.43074 155.951525 \nL 133.941322 157.956388 \nL 133.303184 159.857569 \nL 132.501204 161.667006 \nL 131.51252 163.394427 \nL 130.306156 165.047016 \nL 128.842335 166.628694 \nL 127.071551 168.138796 \nL 124.93356 169.569863 \nL 122.356565 170.904138 \nL 119.257099 172.108184 \nL 115.541537 173.124836 \nL 113.421748 173.535776 \nL 111.110844 173.861634 \nL 108.597337 174.082746 \nL 105.871234 174.175047 \nL 102.92501 174.109384 \nL 99.754865 173.85088 \nL 96.362333 173.358384 \nL 92.756273 172.584191 \nL 88.955265 171.474185 \nL 84.990362 169.968677 \nL 80.908061 168.004274 \nL 76.773254 165.517151 \nL 72.671702 162.448064 \nL 68.711411 158.749405 \nL 65.022073 154.394224 \nL 61.751636 149.386699 \nL 59.059225 143.77282 \nL 57.103981 137.649237 \nL 56.030338 131.167614 \nL 55.951287 124.531781 \nL 56.932406 117.985841 \nL 58.980026 111.793301 \nL 62.036681 106.20997 \nL 65.985452 101.45553 \nL 70.662725 97.689717 \nL 75.876662 94.998065 \nL 81.427474 93.389592 \nL 87.125605 92.805495 \nL 92.80515 93.135608 \nL 98.331489 94.238066 \nL 103.603532 95.958275 \nL 108.551983 98.144313 \nL 113.135136 100.657656 \nL 117.333665 103.379235 \nL 121.145369 106.211689 \nL 124.580466 109.078851 \nL 127.65769 111.923627 \nL 130.401216 114.705094 \nL 132.838337 117.395386 \nL 134.99777 119.976789 \nL 138.598692 124.778172 \nL 141.42497 129.085682 \nL 143.674662 132.920346 \nL 150.619388 145.348602 \nL 152.087116 147.21856 \nL 153.695919 148.795066 \nL 155.508436 150.073214 \nL 157.5844 151.036628 \nL 158.739438 151.391808 \nL 159.98212 151.65644 \nL 161.319526 151.824764 \nL 162.758555 151.890099 \nL 164.305815 151.844816 \nL 165.967451 151.68033 \nL 167.748928 151.387131 \nL 169.654737 150.954845 \nL 171.688024 150.372365 \nL 173.850124 149.628047 \nL 176.14 148.710034 \nL 178.553576 147.606684 \nL 181.082971 146.307198 \nL 183.715629 144.802412 \nL 186.433397 143.085842 \nL 189.211579 141.154921 \nL 192.018061 139.012493 \nL 194.81259 136.668462 \nL 197.546376 134.14151 \nL 200.162191 131.460706 \nL 202.595113 128.6668 \nL 204.774178 125.812836 \nL 206.625007 122.963813 \nL 208.073484 120.194982 \nL 209.050385 117.588634 \nL 209.4966 115.229291 \nL 209.368498 113.197611 \nL 208.642686 111.563626 \nL 207.31946 110.380178 \nL 205.424255 109.677702 \nL 203.006725 109.461216 \nL 200.137429 109.710267 \nL 196.902534 110.381754 \nL 193.397315 111.415283 \nL 189.719349 112.739918 \nL 185.962352 114.281304 \nL 178.538711 117.73642 \nL 171.651225 121.318901 \nL 165.607689 124.747901 \nL 160.530062 127.906612 \nL 156.41161 130.785854 \nL 153.171635 133.427853 \nL 150.696362 135.887494 \nL 148.865213 138.21208 \nL 147.56575 140.434177 \nL 146.700983 142.571667 \nL 146.192018 144.630749 \nL 145.97809 146.609496 \nL 146.015299 148.500856 \nL 146.274874 150.29472 \nL 146.741418 151.979061 \nL 147.411419 153.540299 \nL 148.292125 154.963016 \nL 149.400804 156.229158 \nL 150.76438 157.316793 \nL 152.419313 158.198396 \nL 154.411565 158.83866 \nL 156.796392 159.191783 \nL 159.63748 159.198236 \nL 163.004694 158.781165 \nL 166.969306 157.842947 \nL 169.196181 157.141641 \nL 171.594903 156.263081 \nL 174.169629 155.18889 \nL 176.921553 153.899868 \nL 179.847822 152.376574 \nL 182.940258 150.600216 \nL 186.183861 148.553902 \nL 189.555141 146.224334 \nL 193.020358 143.603991 \nL 196.533782 140.693802 \nL 200.036226 137.506259 \nL 203.454098 134.068753 \nL 206.699386 130.42681 \nL 209.670998 126.646641 \nL 212.257899 122.816338 \nL 214.344337 119.044833 \nL 215.817265 115.457871 \nL 216.575555 112.19051 \nL 216.54018 109.376333 \nL 215.663959 107.134319 \nL 213.939156 105.555335 \nL 211.401266 104.690743 \nL 208.127867 104.545654 \nL 204.232333 105.078501 \nL 199.853379 106.207307 \nL 195.14224 107.821255 \nL 190.249751 109.795075 \nL 185.315285 112.003279 \nL 175.776879 116.686468 \nL 167.199734 121.209281 \nL 159.896944 125.256527 \nL 153.916744 128.773371 \nL 149.152772 131.8409 \nL 145.42842 134.581075 \nL 142.549058 137.105264 \nL 140.329706 139.495349 \nL 138.607281 141.802781 \nL 137.244108 144.054875 \nL 135.630882 147.350446 \nL 131.51214 156.568556 \nL 130.390838 158.45085 \nL 129.093457 160.263696 \nL 127.571545 162.001869 \nL 125.771895 163.65717 \nL 123.634898 165.215881 \nL 121.093491 166.655168 \nL 118.073138 167.937923 \nL 114.493631 169.005551 \nL 112.468713 169.432151 \nL 110.274086 169.768154 \nL 107.901227 169.995349 \nL 105.343294 170.091864 \nL 102.595989 170.031691 \nL 99.658629 169.784282 \nL 96.535492 169.314274 \nL 93.237425 168.58146 \nL 89.783724 167.541142 \nL 86.204209 166.145087 \nL 82.541404 164.343273 \nL 78.85256 162.086686 \nL 75.211232 159.331407 \nL 71.707932 156.044032 \nL 68.449279 152.208404 \nL 65.55507 147.833131 \nL 63.152775 142.959045 \nL 61.36926 137.665198 \nL 60.320136 132.071692 \nL 60.097739 126.337581 \nL 60.75956 120.652756 \nL 62.319298 115.223671 \nL 64.742569 110.254641 \nL 67.948598 105.927567 \nL 71.817807 102.38391 \nL 76.203999 99.712323 \nL 80.948675 97.944066 \nL 85.894989 97.056226 \nL 90.899158 96.981299 \nL 95.838186 97.620324 \nL 100.613695 98.85687 \nL 105.15247 100.569578 \nL 109.404616 102.641923 \nL 113.340364 104.968749 \nL 116.946321 107.459833 \nL 120.22178 110.041013 \nL 123.175384 112.65365 \nL 125.822332 115.253065 \nL 128.182126 117.806509 \nL 130.276827 120.291001 \nL 132.129735 122.691302 \nL 135.204093 127.206635 \nL 137.586275 131.324617 \nL 139.439317 135.055749 \nL 141.526857 139.98957 \nL 145.827774 150.989129 \nL 146.810614 152.80292 \nL 147.911586 154.410532 \nL 149.175854 155.81026 \nL 150.650368 156.992845 \nL 152.385846 157.940382 \nL 154.438325 158.624683 \nL 156.870089 159.005085 \nL 159.749623 159.025656 \nL 163.149908 158.611961 \nL 165.068351 158.213165 \nL 167.143946 157.66797 \nL 169.384359 156.960704 \nL 171.795775 156.074301 \nL 174.382204 154.990523 \nL 177.144586 153.690335 \nL 180.07972 152.154525 \nL 183.178967 150.364608 \nL 186.426749 148.304118 \nL 189.798892 145.960318 \nL 193.260869 143.326424 \nL 196.766098 140.4043 \nL 200.254522 137.207562 \nL 203.651716 133.764912 \nL 206.869001 130.123289 \nL 209.804894 126.350337 \nL 212.348389 122.535416 \nL 214.384322 118.788354 \nL 215.800903 115.235188 \nL 216.498965 112.010461 \nL 216.402087 109.246269 \nL 215.466148 107.059176 \nL 213.686626 105.536884 \nL 211.102019 104.727211 \nL 207.792305 104.631823 \nL 203.872377 105.206324 \nL 199.481429 106.366909 \nL 194.770183 108.002084 \nL 189.888135 109.987 \nL 184.972777 112.19751 \nL 175.490108 116.866538 \nL 166.979169 121.363072 \nL 159.741817 125.383505 \nL 153.820224 128.878763 \nL 149.10581 131.931287 \nL 145.422001 134.662093 \nL 142.575293 137.180863 \nL 140.382231 139.567894 \nL 138.681309 141.873429 \nL 137.336307 144.123997 \nL 135.746859 147.417081 \nL 131.704891 156.624986 \nL 130.606809 158.505423 \nL 129.336461 160.317222 \nL 127.846135 162.055694 \nL 126.083378 163.713386 \nL 123.989309 165.277663 \nL 121.497477 166.727225 \nL 118.533674 168.027161 \nL 115.017444 169.121955 \nL 113.026332 169.567142 \nL 110.866579 169.925902 \nL 108.529198 170.180749 \nL 106.006708 170.310616 \nL 103.293938 170.290355 \nL 100.389064 170.090312 \nL 97.29489 169.675988 \nL 94.020422 169.007932 \nL 90.582701 168.041975 \nL 87.008884 166.730017 \nL 83.338446 165.02156 \nL 79.625315 162.866266 \nL 75.93964 160.217754 \nL 72.368748 157.038783 \nL 69.016729 153.307791 \nL 66.002039 149.026445 \nL 63.452579 144.227371 \nL 61.497948 138.980806 \nL 60.259097 133.398422 \nL 59.836275 127.632585 \nL 60.296937 121.869546 \nL 61.665782 116.316309 \nL 63.919137 111.182371 \nL 66.985236 106.659057 \nL 70.750691 102.900292 \nL 75.07204 100.008441 \nL 79.790133 98.027789 \nL 84.744623 96.946195 \nL 89.786297 96.703685 \nL 94.785779 97.205313 \nL 99.638231 98.335493 \nL 104.264503 99.971218 \nL 108.609659 101.992693 \nL 112.639904 104.290643 \nL 116.33883 106.770482 \nL 119.70359 109.353915 \nL 122.741422 111.978652 \nL 125.466698 114.596951 \nL 127.898524 117.173603 \nL 130.058883 119.683732 \nL 131.971225 122.110687 \nL 135.147076 126.67859 \nL 137.610518 130.84456 \nL 139.528499 134.617163 \nL 141.691215 139.600206 \nL 146.153663 150.665968 \nL 147.173892 152.479838 \nL 148.316475 154.082063 \nL 149.627969 155.470384 \nL 151.156628 156.634653 \nL 152.954371 157.55569 \nL 155.078266 158.20361 \nL 157.591298 158.535567 \nL 160.562043 158.492976 \nL 164.062469 157.998392 \nL 166.033528 157.551543 \nL 168.162689 156.952762 \nL 170.456773 156.186122 \nL 172.920843 155.234439 \nL 175.557439 154.07955 \nL 178.365635 152.702794 \nL 181.339893 151.085728 \nL 184.468729 149.211174 \nL 187.733175 147.064642 \nL 191.105136 144.636223 \nL 194.545699 141.922916 \nL 198.003592 138.931435 \nL 201.414008 135.681316 \nL 204.698159 132.208091 \nL 207.763886 128.566092 \nL 210.507815 124.830279 \nL 212.819372 121.096372 \nL 214.586855 117.478462 \nL 215.705468 114.103521 \nL 216.086689 111.102659 \nL 215.667975 108.59958 \nL 214.421253 106.697679 \nL 212.358592 105.467875 \nL 209.533656 104.939614 \nL 206.038308 105.097158 \nL 201.994617 105.88213 \nL 197.543652 107.201993 \nL 192.832967 108.942516 \nL 188.004868 110.981669 \nL 183.187081 113.202379 \nL 173.987266 117.798759 \nL 165.811293 122.163358 \nL 158.904873 126.049826 \nL 153.279885 129.437238 \nL 148.816541 132.414453 \nL 145.338282 135.097727 \nL 142.657077 137.58842 \nL 140.597007 139.958953 \nL 139.00438 142.253604 \nL 137.750246 144.495019 \nL 136.278248 147.773163 \nL 132.604778 156.919774 \nL 131.616912 158.787456 \nL 130.474857 160.589704 \nL 129.134628 162.324122 \nL 127.547637 163.986503 \nL 125.65888 165.568884 \nL 123.405474 167.056718 \nL 120.715795 168.424811 \nL 117.509775 169.631455 \nL 113.701312 170.610133 \nL 111.544018 170.983686 \nL 109.204477 171.258161 \nL 106.674034 171.412681 \nL 103.946152 171.422156 \nL 101.017431 171.256772 \nL 97.888916 170.881572 \nL 94.56769 170.256221 \nL 91.068787 169.335107 \nL 87.417388 168.067968 \nL 83.651206 166.40127 \nL 79.822881 164.280638 \nL 76.002076 161.654598 \nL 72.276846 158.479825 \nL 68.753636 154.727969 \nL 65.555296 150.393728 \nL 62.816374 145.503438 \nL 60.675338 140.122828 \nL 59.263763 134.36209 \nL 58.693368 128.376231 \nL 59.042587 122.358887 \nL 60.345072 116.529067 \nL 62.582679 111.111712 \nL 65.684839 106.315121 \nL 69.534872 102.309293 \nL 73.982199 99.20953 \nL 78.857957 97.068347 \nL 83.991033 95.876556 \nL 89.221792 95.572268 \nL 94.411826 96.054908 \nL 99.449227 97.20101 \nL 104.249883 98.878828 \nL 108.755828 100.960092 \nL 112.931842 103.328083 \nL 116.761282 105.88216 \nL 120.241902 108.539444 \nL 123.382068 111.234394 \nL 126.197569 113.917186 \nL 128.709057 116.55142 \nL 130.940081 119.111687 \nL 132.915614 121.581253 \nL 136.201082 126.212878 \nL 138.760194 130.416845 \nL 140.768578 134.205511 \nL 143.072674 139.178228 \nL 146.504731 146.986162 \nL 147.601833 149.053161 \nL 148.780797 150.878562 \nL 150.095687 152.466647 \nL 151.598918 153.813294 \nL 153.343729 154.905115 \nL 155.386052 155.718171 \nL 157.785605 156.216222 \nL 160.605858 156.348525 \nL 163.912293 156.047408 \nL 165.767824 155.707999 \nL 167.767955 155.226164 \nL 169.918778 154.587994 \nL 172.224842 153.778497 \nL 174.688506 152.781844 \nL 177.309154 151.581764 \nL 180.082243 150.162133 \nL 182.998188 148.507831 \nL 186.041097 146.605895 \nL 189.187395 144.447042 \nL 192.404407 142.027547 \nL 195.649043 139.351511 \nL 198.866741 136.433397 \nL 201.990933 133.300662 \nL 204.943318 129.99617 \nL 207.635286 126.579997 \nL 209.970794 123.129992 \nL 211.850878 119.740544 \nL 213.179823 116.519007 \nL 213.872637 113.579463 \nL 213.863147 111.034088 \nL 213.111677 108.982846 \nL 211.610991 107.502995 \nL 209.389332 106.640227 \nL 206.509689 106.40323 \nL 203.065158 106.762963 \nL 199.171002 107.656968 \nL 194.95472 108.99779 \nL 190.545734 110.683844 \nL 186.066215 112.610633 \nL 177.308983 116.809172 \nL 169.317198 120.995731 \nL 162.421399 124.849688 \nL 156.712493 128.277655 \nL 152.130386 131.318182 \nL 148.538391 134.060303 \nL 145.773056 136.594505 \nL 143.672816 138.991462 \nL 142.092217 141.297636 \nL 140.907382 143.538809 \nL 140.016608 145.726035 \nL 139.058502 148.908663 \nL 138.186307 152.950515 \nL 136.56373 161.080216 \nL 135.853168 163.494066 \nL 134.943988 165.777365 \nL 134.187559 167.235067 \nL 133.276861 168.647084 \nL 132.176244 170.018035 \nL 130.842613 171.351283 \nL 129.223732 172.647671 \nL 127.256407 173.903543 \nL 124.864672 175.107591 \nL 121.958355 176.235937 \nL 118.432681 177.244523 \nL 114.170298 178.057644 \nL 111.724257 178.354602 \nL 109.04814 178.551214 \nL 106.128259 178.620633 \nL 102.95335 178.529786 \nL 99.516049 178.238414 \nL 95.814848 177.698195 \nL 91.856571 176.852109 \nL 87.659449 175.634301 \nL 83.256748 173.970796 \nL 78.700813 171.781528 \nL 74.067241 168.984265 \nL 69.458538 165.501017 \nL 65.006415 161.267384 \nL 60.871444 156.244927 \nL 57.238683 150.435852 \nL 54.307929 143.898192 \nL 52.278051 136.758332 \nL 51.326077 129.216716 \nL 51.583727 121.542435 \nL 53.115819 114.054193 \nL 55.905891 107.088385 \nL 59.853425 100.95937 \nL 64.784435 95.920423 \nL 70.473235 92.134557 \nL 76.670283 89.661518 \nL 83.12971 88.46257 \nL 89.63126 88.419504 \nL 95.993913 89.361473 \nL 102.081115 91.092786 \nL 107.799366 93.416561 \nL 113.09269 96.151632 \nL 117.935294 99.142346 \nL 122.324095 102.262407 \nL 126.272072 105.414392 \nL 129.802872 108.526769 \nL 132.946669 111.54967 \nL 135.737141 114.450454 \nL 140.398272 119.817122 \nL 144.060492 124.569084 \nL 146.974007 128.725592 \nL 154.10007 139.311403 \nL 155.85826 141.388155 \nL 157.687318 143.093195 \nL 159.665371 144.432946 \nL 160.731427 144.964333 \nL 161.85885 145.401004 \nL 163.054408 145.740177 \nL 164.324267 145.978314 \nL 165.673936 146.111134 \nL 167.108184 146.133663 \nL 168.630901 146.040304 \nL 170.244929 145.824915 \nL 171.951828 145.480966 \nL 173.75159 145.001703 \nL 175.64231 144.380416 \nL 177.619782 143.610748 \nL 179.677063 142.687121 \nL 181.803996 141.605238 \nL 183.986711 140.362725 \nL 186.207133 138.959833 \nL 188.442574 137.400283 \nL 190.665389 135.692118 \nL 192.842855 133.848611 \nL 194.937291 131.889058 \nL 196.906528 129.839416 \nL 198.704806 127.732596 \nL 200.284148 125.608331 \nL 201.59626 123.512421 \nL 202.594872 121.495284 \nL 203.23844 119.609778 \nL 203.493002 117.908374 \nL 203.334911 116.439875 \nL 202.753126 115.245967 \nL 201.750747 114.358112 \nL 200.345556 113.795082 \nL 198.56938 113.56164 \nL 196.466364 113.648498 \nL 194.090261 114.033618 \nL 191.501124 114.684634 \nL 188.761753 115.562036 \nL 185.934288 116.622658 \nL 180.243414 119.121854 \nL 174.818718 121.874885 \nL 169.926862 124.660244 \nL 165.713777 127.350233 \nL 162.229607 129.890914 \nL 159.459845 132.273578 \nL 157.353155 134.510095 \nL 155.84233 136.616564 \nL 154.858336 138.60468 \nL 154.33882 140.478442 \nL 154.232652 142.233812 \nL 154.501901 143.859563 \nL 155.122211 145.338298 \nL 156.082275 146.64708 \nL 157.382763 147.757506 \nL 159.034881 148.635223 \nL 161.05849 149.23897 \nL 163.479561 149.519406 \nL 166.326507 149.418023 \nL 169.624749 148.866786 \nL 173.388632 147.789389 \nL 175.443858 147.028283 \nL 177.609748 146.105744 \nL 179.879061 145.012751 \nL 182.240886 143.741674 \nL 184.679923 142.287038 \nL 187.175768 140.646455 \nL 189.702226 138.821709 \nL 192.226758 136.819993 \nL 194.71014 134.655153 \nL 197.106465 132.34892 \nL 199.363601 129.931922 \nL 201.424257 127.444267 \nL 203.227757 124.935528 \nL 204.712559 122.463807 \nL 205.819499 120.093796 \nL 206.495586 117.89368 \nL 206.698036 115.931039 \nL 206.398133 114.268048 \nL 205.58443 112.956461 \nL 204.264729 112.033157 \nL 202.466543 111.516833 \nL 200.235765 111.406499 \nL 197.633738 111.682085 \nL 194.732995 112.306984 \nL 191.612315 113.232201 \nL 188.351682 114.401397 \nL 185.027732 115.755984 \nL 178.459151 118.801849 \nL 172.343947 122.000363 \nL 166.949254 125.11666 \nL 162.392803 128.040948 \nL 158.684903 130.749239 \nL 155.770861 133.261877 \nL 153.564363 135.613288 \nL 151.970142 137.834901 \nL 150.897708 139.948091 \nL 150.268704 141.963008 \nL 150.020155 143.880106 \nL 150.105278 145.692383 \nL 150.493 147.387331 \nL 151.166879 148.948173 \nL 152.123881 150.35429 \nL 153.373198 151.580925 \nL 154.935151 152.598217 \nL 156.840092 153.369667 \nL 159.127059 153.850165 \nL 161.841756 153.983702 \nL 165.033209 153.701086 \nL 168.74814 152.918323 \nL 170.813699 152.309073 \nL 173.021694 151.536821 \nL 175.372331 150.587631 \nL 177.862902 149.447529 \nL 180.486938 148.1031 \nL 183.23323 146.542291 \nL 186.084751 144.755484 \nL 189.017534 142.73684 \nL 191.999551 140.485944 \nL 194.989725 138.009693 \nL 197.937247 135.324352 \nL 200.781367 132.457598 \nL 203.451924 129.450281 \nL 205.870832 126.357566 \nL 207.954763 123.249019 \nL 209.619107 120.207166 \nL 210.783166 117.324222 \nL 211.376248 114.696807 \nL 211.34414 112.418922 \nL 210.655086 110.57379 \nL 209.304339 109.225733 \nL 207.316418 108.413356 \nL 204.744452 108.145418 \nL 201.666555 108.400211 \nL 198.179633 109.128753 \nL 194.391617 110.26107 \nL 190.413266 111.714526 \nL 186.350698 113.402514 \nL 178.340752 117.160703 \nL 170.943559 121.00899 \nL 164.487853 124.639497 \nL 159.091118 127.937065 \nL 154.729225 130.908017 \nL 151.300118 133.612736 \nL 148.669465 136.12136 \nL 146.698808 138.492051 \nL 145.260762 140.764424 \nL 144.245892 142.960771 \nL 143.564676 145.090267 \nL 143.146805 147.153471 \nL 142.939249 149.146002 \nL 142.903893 151.061141 \nL 143.120904 153.772232 \nL 143.627557 156.26687 \nL 144.124775 157.797275 \nL 144.759363 159.212213 \nL 145.547575 160.502335 \nL 146.512714 161.656039 \nL 147.685561 162.658297 \nL 149.105081 163.489125 \nL 150.819317 164.121615 \nL 152.886333 164.519396 \nL 155.374938 164.633372 \nL 158.364717 164.397596 \nL 161.94456 163.724371 \nL 166.208252 162.498958 \nL 168.624984 161.634799 \nL 171.244878 160.575218 \nL 174.075359 159.296935 \nL 177.120603 157.775102 \nL 180.380156 155.983947 \nL 183.847256 153.897805 \nL 187.506796 151.492684 \nL 191.333015 148.748461 \nL 195.286933 145.651844 \nL 199.31378 142.200121 \nL 203.340637 138.405681 \nL 207.274809 134.301005 \nL 211.003464 129.943655 \nL 214.3953 125.420366 \nL 217.304925 120.849072 \nL 219.580551 116.377413 \nL 221.075098 112.176378 \nL 221.660102 108.428323 \nL 221.240906 105.309688 \nL 219.770697 102.970447 \nL 217.260395 101.513801 \nL 213.781817 100.980738 \nL 209.462628 101.343422 \nL 204.473562 102.509626 \nL 199.010326 104.33736 \nL 193.273816 106.656075 \nL 187.452333 109.289501 \nL 176.171847 114.878846 \nL 161.59271 122.553805 \nL 150.592549 128.545763 \nL 145.097656 131.731158 \nL 140.803315 134.483003 \nL 137.456857 136.962919 \nL 134.824866 139.285013 \nL 132.705032 141.518224 \nL 130.927866 143.697078 \nL 127.126808 148.948686 \nL 124.790576 151.92111 \nL 123.046633 153.79391 \nL 121.075933 155.553475 \nL 118.816241 157.170837 \nL 116.207763 158.607861 \nL 113.193814 159.812847 \nL 111.518635 160.307129 \nL 109.723975 160.715029 \nL 107.805592 161.023675 \nL 105.760716 161.218202 \nL 103.588532 161.281585 \nL 101.29078 161.194528 \nL 98.872458 160.935453 \nL 96.342634 160.480626 \nL 93.715342 159.804501 \nL 91.010552 158.880314 \nL 88.255105 157.681059 \nL 85.483584 156.180874 \nL 82.738927 154.356942 \nL 80.072677 152.191877 \nL 77.544609 149.676595 \nL 75.221584 146.813494 \nL 73.175437 143.61965 \nL 71.479768 140.129655 \nL 70.205742 136.3975 \nL 69.417076 132.49697 \nL 69.164713 128.519986 \nL 69.4818 124.572668 \nL 70.379746 120.769126 \nL 71.846032 117.223582 \nL 73.844262 114.041779 \nL 76.316563 111.312837 \nL 79.188012 109.102865 \nL 82.372433 107.451109 \nL 85.778733 106.369173 \nL 89.316884 105.843006 \nL 92.902937 105.837128 \nL 96.462633 106.300188 \nL 99.93355 107.170861 \nL 103.26589 108.38337 \nL 106.422201 109.872125 \nL 109.376365 111.575197 \nL 112.112146 113.436572 \nL 114.621553 115.407418 \nL 116.90322 117.446479 \nL 118.960885 119.519869 \nL 120.80206 121.600501 \nL 122.436895 123.667285 \nL 123.877244 125.704274 \nL 125.13592 127.699798 \nL 127.160866 131.536446 \nL 128.614173 135.141555 \nL 129.588192 138.50705 \nL 130.160476 141.64044 \nL 130.392109 144.557115 \nL 130.327795 147.275608 \nL 129.9968 149.814723 \nL 129.414211 152.19178 \nL 128.582147 154.421448 \nL 127.490767 156.514825 \nL 126.119005 158.478411 \nL 124.435087 160.312771 \nL 122.396997 162.010523 \nL 119.953162 163.5534 \nL 117.043884 164.907916 \nL 115.394505 165.498459 \nL 113.604304 166.01929 \nL 111.665313 166.458892 \nL 109.570204 166.803276 \nL 107.312762 167.035632 \nL 104.888501 167.135962 \nL 102.295435 167.080758 \nL 99.535038 166.842741 \nL 96.613399 166.390743 \nL 93.542583 165.689836 \nL 90.342178 164.701786 \nL 87.040957 163.386033 \nL 83.67855 161.701321 \nL 80.306947 159.608178 \nL 76.991552 157.072351 \nL 73.811436 154.069254 \nL 70.85838 150.58929 \nL 68.234277 146.643668 \nL 66.046574 142.270027 \nL 64.401676 137.536807 \nL 63.396594 132.54518 \nL 63.10964 127.427327 \nL 63.591446 122.340209 \nL 64.857827 117.454893 \nL 66.886037 112.942417 \nL 69.615351 108.95826 \nL 72.952128 105.628075 \nL 76.778534 103.037152 \nL 80.963366 101.225391 \nL 85.373101 100.188131 \nL 89.881543 99.88211 \nL 94.376974 100.234776 \nL 98.766423 101.154954 \nL 102.977226 102.54308 \nL 106.956515 104.299783 \nL 110.669259 106.332137 \nL 114.0956 108.55764 \nL 117.227942 110.906115 \nL 120.068159 113.32006 \nL 122.625117 115.753957 \nL 124.912592 118.172967 \nL 126.947574 120.551338 \nL 128.748948 122.870796 \nL 130.336478 125.119024 \nL 132.949139 129.374636 \nL 134.937475 133.293832 \nL 136.437311 136.88385 \nL 137.564277 140.167205 \nL 138.758487 144.579687 \nL 139.568087 148.462659 \nL 141.908771 160.889678 \nL 142.627765 162.97392 \nL 143.552547 164.796824 \nL 144.323071 165.862659 \nL 145.250899 166.801046 \nL 146.371862 167.60035 \nL 147.729223 168.243259 \nL 149.375235 168.705 \nL 151.372743 168.950836 \nL 153.796655 168.932686 \nL 156.734874 168.584611 \nL 160.287936 167.817107 \nL 164.56596 166.51036 \nL 169.680523 164.50749 \nL 172.582846 163.184708 \nL 175.727612 161.610466 \nL 179.119215 159.754281 \nL 182.756003 157.584609 \nL 186.628004 155.07031 \nL 190.71421 152.182866 \nL 194.979451 148.899512 \nL 199.371023 145.207467 \nL 203.815337 141.109261 \nL 208.215099 136.629041 \nL 212.447694 131.81936 \nL 216.365736 126.767507 \nL 219.800825 121.59993 \nL 222.571453 116.482781 \nL 224.495667 111.616513 \nL 225.408095 107.222863 \nL 225.179705 103.523947 \nL 223.737255 100.715503 \nL 221.078295 98.938749 \nL 217.27761 98.257353 \nL 212.482561 98.645898 \nL 206.897358 99.993699 \nL 200.759381 102.123514 \nL 194.312804 104.82017 \nL 187.784891 107.861794 \nL 175.215311 114.21022 \nL 141.408599 131.961974 \nL 136.820417 134.610631 \nL 133.23481 136.953737 \nL 130.386591 139.125074 \nL 128.050502 141.201502 \nL 125.109085 144.207136 \nL 121.513638 148.006925 \nL 119.62001 149.776236 \nL 117.554319 151.419556 \nL 115.250937 152.898947 \nL 112.654556 154.167568 \nL 109.720865 155.166707 \nL 108.117431 155.542756 \nL 106.419824 155.822253 \nL 104.627571 155.992997 \nL 102.742096 156.041496 \nL 100.76712 155.952998 \nL 98.709123 155.711579 \nL 96.57785 155.30039 \nL 94.386841 154.702001 \nL 92.153958 153.898971 \nL 89.901857 152.874613 \nL 87.658345 151.614009 \nL 85.456554 150.105284 \nL 83.334835 148.341112 \nL 81.33626 146.320403 \nL 79.507675 144.050061 \nL 77.898227 141.546645 \nL 76.557318 138.837723 \nL 75.532099 135.962628 \nL 74.864588 132.972401 \nL 74.588685 129.928675 \nL 74.727388 126.90139 \nL 75.290534 123.965418 \nL 76.27343 121.19634 \nL 77.65658 118.665784 \nL 79.406612 116.436841 \nL 81.478321 114.560228 \nL 83.817571 113.071502 \nL 86.364706 111.989784 \nL 89.05806 111.317896 \nL 91.837199 111.043892 \nL 94.645605 111.143503 \nL 97.432677 111.583202 \nL 100.154957 112.323417 \nL 102.776676 113.321529 \nL 105.26974 114.53446 \nL 107.613279 115.920709 \nL 109.792925 117.441792 \nL 111.799928 119.063131 \nL 113.630229 120.754508 \nL 115.28355 122.490123 \nL 116.762552 124.24844 \nL 118.072079 126.011842 \nL 119.218506 127.766202 \nL 120.20919 129.50043 \nL 121.755054 132.876543 \nL 122.773097 136.095415 \nL 123.321665 139.135129 \nL 123.449248 141.98766 \nL 123.192168 144.652434 \nL 122.57384 147.131646 \nL 121.605004 149.42679 \nL 120.284584 151.535816 \nL 118.601011 153.450473 \nL 116.534074 155.153472 \nL 115.348791 155.916933 \nL 114.057554 156.615207 \nL 112.656788 157.242028 \nL 111.143126 157.789823 \nL 109.513668 158.249577 \nL 107.766264 158.610674 \nL 105.899895 158.860757 \nL 103.9151 158.985628 \nL 101.814485 158.969179 \nL 99.603327 158.793417 \nL 97.290243 158.438584 \nL 94.88792 157.883471 \nL 92.413897 157.105905 \nL 89.89132 156.083542 \nL 87.349632 154.794957 \nL 84.825087 153.221134 \nL 82.360958 151.347312 \nL 80.007329 149.1652 \nL 77.820277 146.675441 \nL 75.860351 143.89012 \nL 74.190218 140.835064 \nL 72.871556 137.551531 \nL 71.961235 134.096868 \nL 71.507141 130.543741 \nL 71.544075 126.977683 \nL 72.090222 123.492883 \nL 73.144763 120.186512 \nL 74.687053 117.152149 \nL 76.677563 114.47314 \nL 79.060541 112.216793 \nL 81.768023 110.430165 \nL 84.724634 109.13803 \nL 87.852554 108.343073 \nL 91.076051 108.028078 \nL 94.325168 108.159608 \nL 97.538308 108.69243 \nL 100.663733 109.574128 \nL 103.660053 110.749296 \nL 106.495944 112.163009 \nL 109.149331 113.763461 \nL 111.606224 115.503645 \nL 113.859444 117.342325 \nL 115.907321 119.244354 \nL 117.75249 121.180543 \nL 119.400799 123.12724 \nL 120.860383 125.06573 \nL 122.140876 126.981566 \nL 123.252784 128.86391 \nL 125.014246 132.499087 \nL 126.229454 135.934439 \nL 126.974555 139.157737 \nL 127.312651 142.171053 \nL 127.291966 144.983884 \nL 126.945569 147.608608 \nL 126.291943 150.057458 \nL 125.335914 152.34038 \nL 124.069684 154.463244 \nL 122.47388 156.426011 \nL 120.518708 158.220577 \nL 118.16544 159.827878 \nL 115.368692 161.214002 \nL 113.7889 161.80822 \nL 112.080227 162.325012 \nL 110.237246 162.753429 \nL 108.25536 163.080396 \nL 106.131261 163.290463 \nL 103.863486 163.365586 \nL 101.453113 163.284949 \nL 98.904568 163.024907 \nL 96.226593 162.559034 \nL 93.433313 161.858435 \nL 90.545414 160.892351 \nL 87.591339 159.629171 \nL 84.608402 158.037994 \nL 81.643674 156.090767 \nL 78.75444 153.765109 \nL 76.00795 151.047744 \nL 73.480227 147.93841 \nL 71.25368 144.453895 \nL 69.413339 140.631679 \nL 68.041778 136.532487 \nL 67.212998 132.240954 \nL 66.985832 127.863736 \nL 67.397753 123.524626 \nL 68.460052 119.356787 \nL 70.155317 115.49284 \nL 72.437805 112.054121 \nL 75.236794 109.140723 \nL 78.462425 106.823921 \nL 82.013122 105.142085 \nL 85.783412 104.100501 \nL 89.671074 103.67466 \nL 93.582827 103.816148 \nL 97.438154 104.459824 \nL 101.171256 105.531151 \nL 104.731416 106.952731 \nL 108.082179 108.649478 \nL 111.199763 110.55227 \nL 114.071117 112.600123 \nL 116.691876 114.741134 \nL 119.06444 116.932537 \nL 121.196246 119.140116 \nL 123.0983 121.337283 \nL 124.783973 123.503997 \nL 126.268034 125.625663 \nL 127.565891 127.69211 \nL 129.66454 131.635454 \nL 131.197659 135.309793 \nL 132.269514 138.716749 \nL 132.967207 141.871598 \nL 133.359938 144.795867 \nL 133.499881 147.513037 \nL 133.423788 150.046161 \nL 133.154773 152.416632 \nL 132.703951 154.643576 \nL 132.071734 156.743594 \nL 131.248735 158.730567 \nL 130.216236 160.615445 \nL 128.946261 162.40577 \nL 127.401324 164.104812 \nL 125.533966 165.710053 \nL 123.286284 167.210761 \nL 120.589819 168.584188 \nL 117.366414 169.789887 \nL 115.530678 170.310392 \nL 113.531107 170.761462 \nL 111.357103 171.128879 \nL 108.998807 171.395185 \nL 106.447717 171.539171 \nL 103.697505 171.535323 \nL 100.745085 171.353318 \nL 97.591933 170.957608 \nL 94.245736 170.307199 \nL 90.722348 169.355795 \nL 87.048019 168.05247 \nL 83.26182 166.343138 \nL 79.41805 164.173099 \nL 75.588323 161.490926 \nL 71.862847 158.253908 \nL 68.350303 154.435069 \nL 65.175625 150.031405 \nL 62.475004 145.07254 \nL 60.387744 139.628444 \nL 59.0451 133.814204 \nL 58.55707 127.789841 \nL 58.998878 121.753466 \nL 60.399697 115.927162 \nL 62.736087 110.536945 \nL 65.932048 105.789822 \nL 69.866051 101.852229 \nL 74.38385 98.834196 \nL 79.314444 96.782082 \nL 84.486144 95.680598 \nL 89.740085 95.462546 \nL 94.939602 96.023371 \nL 99.975089 97.237067 \nL 104.764919 98.970774 \nL 109.253513 101.096211 \nL 113.407778 103.49743 \nL 117.212861 106.075052 \nL 120.667947 108.747668 \nL 123.782504 111.451228 \nL 126.57314 114.137293 \nL 129.061092 116.77068 \nL 131.270309 119.327002 \nL 133.226019 121.790358 \nL 136.478302 126.405222 \nL 139.013022 130.589415 \nL 141.005488 134.35723 \nL 143.30029 139.298447 \nL 146.759645 147.042982 \nL 147.878477 149.087307 \nL 149.085611 150.888157 \nL 150.435489 152.448894 \nL 151.981064 153.76428 \nL 153.776221 154.819553 \nL 155.877552 155.589096 \nL 158.345296 156.034635 \nL 161.243054 156.103034 \nL 162.873509 155.974548 \nL 164.635647 155.723933 \nL 166.536934 155.339392 \nL 168.584052 154.807909 \nL 170.782468 154.115321 \nL 173.13588 153.246488 \nL 175.645536 152.185575 \nL 178.309391 150.916527 \nL 181.121115 149.423735 \nL 184.068931 147.692994 \nL 187.134323 145.712768 \nL 190.29067 143.475827 \nL 193.501864 140.981234 \nL 196.721106 138.23669 \nL 199.890023 135.261078 \nL 202.938425 132.086997 \nL 205.784958 128.762982 \nL 208.339015 125.354844 \nL 210.504143 121.945649 \nL 212.183098 118.633705 \nL 213.284403 115.528096 \nL 213.730031 112.741672 \nL 213.463313 110.381865 \nL 212.455999 108.540353 \nL 210.713195 107.28314 \nL 208.275093 106.642883 \nL 205.214879 106.615097 \nL 201.632951 107.159196 \nL 197.648289 108.204248 \nL 193.388414 109.658253 \nL 188.979516 111.419138 \nL 184.538096 113.385364 \nL 175.942144 117.579568 \nL 168.176332 121.695906 \nL 161.523744 125.459767 \nL 156.045282 128.805454 \nL 151.666027 131.782386 \nL 148.244705 134.480013 \nL 145.619084 136.984613 \nL 143.631644 139.361638 \nL 142.142003 141.653048 \nL 141.031441 143.881383 \nL 140.203033 146.055627 \nL 139.325282 149.216145 \nL 138.553803 153.221658 \nL 137.071847 162.045763 \nL 136.481785 164.36676 \nL 135.723529 166.557531 \nL 134.72737 168.635685 \nL 133.887824 169.96792 \nL 132.869694 171.26391 \nL 131.632163 172.5281 \nL 130.125432 173.76297 \nL 128.288849 174.967363 \nL 126.048944 176.133791 \nL 123.317623 177.244134 \nL 119.991073 178.262901 \nL 115.950482 179.126851 \nL 113.622198 179.469733 \nL 111.066672 179.729486 \nL 108.268121 179.882413 \nL 105.212327 179.898956 \nL 101.887896 179.742651 \nL 98.287952 179.369077 \nL 94.412368 178.72491 \nL 90.270595 177.747303 \nL 85.885149 176.363875 \nL 81.295697 174.493748 \nL 76.563562 172.050175 \nL 71.776225 168.945451 \nL 67.051065 165.098726 \nL 62.537245 160.447199 \nL 58.414239 154.960569 \nL 54.885408 148.657642 \nL 52.16531 141.622581 \nL 50.460438 134.016815 \nL 49.944903 126.081677 \nL 50.734779 118.127383 \nL 52.866661 110.506492 \nL 56.286385 103.574585 \nL 60.851896 97.645607 \nL 66.350496 92.952197 \nL 72.526479 89.620528 \nL 79.112413 87.664742 \nL 85.857097 87.000052 \nL 92.545491 87.468692 \nL 99.008938 88.870835 \nL 105.126854 90.993501 \nL 110.822404 93.632985 \nL 116.055038 96.609295 \nL 120.812124 99.77319 \nL 125.101166 103.007535 \nL 128.943283 106.224978 \nL 132.368135 109.363684 \nL 135.410194 112.382443 \nL 138.106094 115.255936 \nL 142.606604 120.521024 \nL 146.15163 125.134414 \nL 150.217511 130.921222 \nL 154.335611 136.823722 \nL 156.176825 139.108963 \nL 158.025465 140.993917 \nL 159.970565 142.494583 \nL 162.085674 143.613684 \nL 163.226398 144.027488 \nL 164.431423 144.341172 \nL 165.706453 144.551608 \nL 167.056376 144.655007 \nL 168.485184 144.646973 \nL 169.995829 144.522607 \nL 171.590051 144.276611 \nL 173.268149 143.903473 \nL 176.868321 142.753955 \nL 180.75859 141.035255 \nL 182.78889 139.954635 \nL 184.856693 138.725928 \nL 186.942711 137.35206 \nL 189.02344 135.839495 \nL 191.071023 134.198969 \nL 193.053312 132.446172 \nL 194.934188 130.602308 \nL 196.674211 128.694425 \nL 198.231663 126.755409 \nL 199.563979 124.823531 \nL 200.629583 122.94147 \nL 201.390043 121.15473 \nL 201.812399 119.509541 \nL 201.871514 118.05029 \nL 201.55215 116.816743 \nL 200.850587 115.841325 \nL 199.775489 115.146821 \nL 198.347921 114.74475 \nL 196.60041 114.63474 \nL 194.575158 114.80495 \nL 192.3216 115.233487 \nL 189.893555 115.89061 \nL 187.346304 116.741442 \nL 182.106688 118.875593 \nL 176.982601 121.353368 \nL 172.256756 123.949695 \nL 168.104824 126.517439 \nL 164.609629 128.979355 \nL 161.785842 131.306754 \nL 159.605154 133.497432 \nL 158.016971 135.558965 \nL 156.963359 137.498548 \nL 156.388741 139.318096 \nL 156.245608 141.012623 \nL 156.4974 142.570275 \nL 157.119539 143.972892 \nL 158.099268 145.196478 \nL 159.434718 146.211269 \nL 161.133359 146.981436 \nL 163.209806 147.464427 \nL 165.682733 147.61032 \nL 168.570482 147.361509 \nL 171.884743 146.653512 \nL 175.621632 145.417888 \nL 179.74951 143.588768 \nL 181.938825 142.434573 \nL 184.193438 141.114832 \nL 186.494284 139.628536 \nL 188.817378 137.97838 \nL 191.13342 136.171747 \nL 193.407574 134.221706 \nL 195.599539 132.147929 \nL 197.664009 129.977444 \nL 199.55159 127.745032 \nL 201.210289 125.49313 \nL 202.587567 123.271046 \nL 203.632941 121.133386 \nL 204.301001 119.137627 \nL 204.554619 117.340939 \nL 204.368018 115.796445 \nL 203.729369 114.549335 \nL 202.642516 113.633297 \nL 201.127522 113.067786 \nL 199.21992 112.856544 \nL 196.968648 112.987687 \nL 194.432951 113.435292 \nL 191.678585 114.162299 \nL 188.773791 115.124184 \nL 185.785524 116.272947 \nL 179.801601 118.943506 \nL 174.136211 121.843945 \nL 169.060507 124.744674 \nL 164.714827 127.520549 \nL 161.13872 130.125276 \nL 158.305861 132.558646 \nL 156.154 134.839677 \nL 154.606805 136.989666 \nL 153.588047 139.023781 \nL 153.029899 140.948324 \nL 152.877168 142.760919 \nL 153.088951 144.451834 \nL 153.638777 146.005272 \nL 154.513938 147.400189 \nL 155.714403 148.610489 \nL 157.251505 149.604544 \nL 159.146372 150.344165 \nL 161.427913 150.783187 \nL 164.129962 150.865906 \nL 167.286959 150.525846 \nL 170.927313 149.685583 \nL 172.933595 149.051152 \nL 175.063356 148.258948 \nL 177.313227 147.297892 \nL 179.676719 146.157548 \nL 182.143472 144.828744 \nL 184.698443 143.304422 \nL 187.321069 141.58064 \nL 189.984464 139.657808 \nL 192.654708 137.542055 \nL 195.29038 135.246717 \nL 197.842417 132.793797 \nL 200.254527 130.215219 \nL 202.464236 127.553675 \nL 204.40479 124.86275 \nL 206.007904 122.206049 \nL 207.207436 119.655099 \nL 207.943701 117.285906 \nL 208.168175 115.174236 \nL 207.848019 113.390015 \nL 206.969865 111.991443 \nL 205.542202 111.019674 \nL 203.595914 110.494898 \nL 201.18273 110.414601 \nL 198.371725 110.754355 \nL 195.2443 111.470959 \nL 191.888358 112.507483 \nL 188.39246 113.799264 \nL 184.840638 115.279956 \nL 177.860014 118.564032 \nL 171.410059 121.957705 \nL 165.761234 125.217839 \nL 161.020378 128.242135 \nL 157.180915 131.020181 \nL 154.170619 133.585666 \nL 151.887593 135.983415 \nL 150.223745 138.25195 \nL 149.078388 140.417185 \nL 148.365107 142.492209 \nL 148.014421 144.479704 \nL 147.974059 146.374851 \nL 148.208023 148.167722 \nL 148.695193 149.844889 \nL 149.427884 151.390124 \nL 150.41061 152.784362 \nL 151.6591 154.005004 \nL 153.199582 155.024657 \nL 155.068164 155.809329 \nL 157.31011 156.316172 \nL 159.978589 156.490778 \nL 163.132282 156.264247 \nL 166.83085 155.550501 \nL 168.901501 154.978914 \nL 171.126899 154.244832 \nL 173.510306 153.332534 \nL 176.052448 152.225678 \nL 178.750631 150.907794 \nL 181.597707 149.362991 \nL 184.58086 147.576963 \nL 187.680283 145.538325 \nL 190.867749 143.240326 \nL 194.105243 140.682929 \nL 197.343731 137.875231 \nL 200.522344 134.838082 \nL 203.568224 131.606656 \nL 206.397359 128.232611 \nL 208.916713 124.785318 \nL 211.027957 121.351577 \nL 212.632863 118.033195 \nL 213.640211 114.942047 \nL 213.973726 112.192516 \nL 213.580107 109.891832 \nL 212.435969 108.129452 \nL 210.552416 106.967155 \nL 207.976188 106.431749 \nL 204.78685 106.511989 \nL 201.090297 107.160505 \nL 197.009582 108.300466 \nL 192.67456 109.835505 \nL 188.211988 111.661082 \nL 183.737409 113.675074 \nL 175.127582 117.919042 \nL 167.397946 122.040527 \nL 160.808307 125.786272 \nL 155.401663 129.106743 \nL 151.091552 132.060415 \nL 147.7303 134.74027 \nL 145.15274 137.232897 \nL 143.200463 139.602682 \nL 141.733278 141.890211 \nL 140.633093 144.116853 \nL 139.803675 146.290796 \nL 138.904112 149.452632 \nL 138.06582 153.463068 \nL 136.622332 160.689077 \nL 135.927052 163.12661 \nL 135.041689 165.431522 \nL 133.885331 167.619816 \nL 132.914362 169.022204 \nL 131.740003 170.384511 \nL 130.31632 171.709388 \nL 128.587659 172.996399 \nL 126.486817 174.239698 \nL 123.933316 175.424371 \nL 120.832218 176.520735 \nL 117.074367 177.475585 \nL 112.53971 178.199152 \nL 109.942682 178.431678 \nL 107.106627 178.546382 \nL 104.019403 178.51239 \nL 100.672239 178.291969 \nL 97.061517 177.83962 \nL 93.191068 177.10135 \nL 89.07504 176.014337 \nL 84.741333 174.507328 \nL 80.235519 172.50218 \nL 75.625003 169.917091 \nL 71.002911 166.672105 \nL 66.490938 162.697451 \nL 62.240008 157.944897 \nL 58.427376 152.40174 \nL 55.2488 146.106039 \nL 52.90487 139.160365 \nL 51.581728 131.740173 \nL 51.428127 124.092486 \nL 52.532769 116.521528 \nL 54.907033 109.360811 \nL 58.47805 102.935418 \nL 63.094852 97.521854 \nL 68.546792 93.314866 \nL 74.589924 90.408688 \nL 80.975175 88.796073 \nL 87.47248 88.383071 \nL 93.887269 89.013938 \nL 100.068335 90.499116 \nL 105.908408 92.640589 \nL 111.339772 95.251115 \nL 116.327334 98.166264 \nL 120.861094 101.250116 \nL 124.949192 104.396031 \nL 128.612087 107.524333 \nL 131.878023 110.578431 \nL 134.779659 113.520385 \nL 137.351676 116.326649 \nL 141.64629 121.48826 \nL 145.029381 126.037828 \nL 148.90859 131.791893 \nL 152.836202 137.741337 \nL 154.593516 140.080866 \nL 156.361048 142.038028 \nL 158.226442 143.627894 \nL 160.263706 144.852676 \nL 161.366906 145.325353 \nL 162.53601 145.701806 \nL 163.777426 145.978748 \nL 165.096941 146.152146 \nL 166.499641 146.217252 \nL 167.989803 146.168653 \nL 169.570732 146.000355 \nL 171.244546 145.705903 \nL 173.011925 145.278547 \nL 174.871778 144.711458 \nL 176.820878 143.998022 \nL 178.85343 143.132224 \nL 180.960607 142.10912 \nL 183.130046 140.925424 \nL 185.34535 139.580194 \nL 187.585631 138.075629 \nL 189.825128 136.417926 \nL 192.03299 134.618192 \nL 194.173277 132.6933 \nL 196.205284 130.666611 \nL 198.084267 128.568424 \nL 199.762624 126.436049 \nL 201.191609 124.313292 \nL 202.323515 122.249291 \nL 203.11429 120.296622 \nL 203.526375 118.508656 \nL 203.531556 116.936411 \nL 203.113493 115.625089 \nL 202.269606 114.610735 \nL 201.012036 113.917464 \nL 199.367482 113.555613 \nL 197.375861 113.52119 \nL 195.087929 113.796683 \nL 192.562128 114.353105 \nL 189.861049 115.152965 \nL 187.047876 116.153715 \nL 181.322602 118.582934 \nL 175.799869 121.319112 \nL 170.772084 124.121059 \nL 166.407139 126.843649 \nL 162.770824 129.421179 \nL 159.858045 131.838872 \nL 157.621931 134.106726 \nL 155.996319 136.241351 \nL 154.911099 138.25601 \nL 154.301671 140.156516 \nL 154.114128 141.940507 \nL 154.307623 143.598213 \nL 154.854972 145.113501 \nL 155.742264 146.464645 \nL 156.967869 147.624506 \nL 158.541077 148.560165 \nL 160.480343 149.232026 \nL 162.810938 149.592644 \nL 165.561615 149.585563 \nL 168.759656 149.144651 \nL 172.423501 148.194854 \nL 174.430872 147.504007 \nL 176.551951 146.65571 \nL 178.78105 145.640406 \nL 181.109116 144.449605 \nL 183.523032 143.076598 \nL 186.004881 141.517291 \nL 188.531226 139.771258 \nL 191.072481 137.842896 \nL 193.592443 135.742711 \nL 196.048099 133.488584 \nL 198.389856 131.106931 \nL 200.5623 128.633524 \nL 202.505631 126.113806 \nL 204.157849 123.602431 \nL 205.457693 121.161797 \nL 206.348242 118.859476 \nL 206.780925 116.764526 \nL 206.719589 114.9429 \nL 206.144107 113.452414 \nL 205.053041 112.337846 \nL 203.464856 111.626955 \nL 201.417448 111.328067 \nL 198.965892 111.429638 \nL 196.178696 111.901973 \nL 193.133053 112.70075 \nL 189.909675 113.771794 \nL 186.587913 115.056331 \nL 179.936085 118.036514 \nL 173.655787 121.24202 \nL 168.054357 124.404262 \nL 163.280633 127.387324 \nL 159.364919 130.151983 \nL 156.263015 132.712453 \nL 153.892348 135.102727 \nL 152.157164 137.356492 \nL 150.964134 139.498158 \nL 150.230961 141.540705 \nL 149.890378 143.486858 \nL 149.891369 145.331349 \nL 150.198873 147.063028 \nL 150.792779 148.666298 \nL 151.666692 150.121776 \nL 152.826728 151.406163 \nL 154.290417 152.491436 \nL 156.085653 153.343483 \nL 158.249502 153.920196 \nL 160.826495 154.169235 \nL 163.865846 154.025647 \nL 167.416714 153.409877 \nL 169.397456 152.895855 \nL 171.520285 152.227116 \nL 173.787032 151.389828 \nL 176.197093 150.369814 \nL 178.746663 149.153024 \nL 181.427818 147.726203 \nL 184.227499 146.07778 \nL 187.126387 144.199061 \nL 190.097749 142.085679 \nL 193.106327 139.739373 \nL 196.107428 137.169966 \nL 199.046336 134.397478 \nL 201.858334 131.45416 \nL 204.469531 128.386115 \nL 206.798755 125.254173 \nL 208.760714 122.133476 \nL 210.270461 119.111455 \nL 211.249048 116.283767 \nL 211.629935 113.748283 \nL 211.365513 111.597404 \nL 210.432794 109.909638 \nL 208.837323 108.741597 \nL 206.614469 108.121901 \nL 203.827677 108.048147 \nL 200.563747 108.487691 \nL 196.925821 109.382133 \nL 193.02518 110.6547 \nL 188.973028 112.219011 \nL 184.873404 113.98777 \nL 176.882502 117.826691 \nL 169.592336 121.676997 \nL 163.28943 125.268599 \nL 158.058802 128.515182 \nL 153.855616 131.439364 \nL 150.566758 134.107803 \nL 148.053412 136.590985 \nL 146.176576 138.944837 \nL 144.810403 141.206165 \nL 143.847884 143.394871 \nL 143.202106 145.518458 \nL 142.805168 147.576528 \nL 142.606035 149.564334 \nL 142.601515 152.39952 \nL 142.88799 155.037495 \nL 143.438441 157.455275 \nL 143.9562 158.933608 \nL 144.607325 160.296509 \nL 145.410073 161.535017 \nL 146.38949 162.637729 \nL 147.577986 163.589588 \nL 149.016162 164.370332 \nL 150.753825 164.952479 \nL 152.851028 165.298705 \nL 155.37888 165.358451 \nL 158.41962 165.063632 \nL 162.065108 164.323492 \nL 166.412231 163.019055 \nL 168.878239 162.109139 \nL 171.552805 160.998549 \nL 174.443476 159.663091 \nL 177.55435 158.076956 \nL 180.884629 156.213408 \nL 184.426826 154.045905 \nL 188.164623 151.549776 \nL 192.070407 148.704583 \nL 196.102593 145.497305 \nL 200.202911 141.926361 \nL 204.293992 138.006411 \nL 208.277755 133.773655 \nL 212.03521 129.291037 \nL 215.428493 124.652382 \nL 218.305854 119.984166 \nL 220.5102 115.443375 \nL 221.8912 111.210022 \nL 222.320224 107.473684 \nL 221.70631 104.414582 \nL 220.010409 102.181627 \nL 217.254841 100.871519 \nL 213.525148 100.513764 \nL 208.96324 101.065723 \nL 203.752631 102.419453 \nL 198.098733 104.41888 \nL 192.208161 106.883041 \nL 186.27088 109.629893 \nL 174.864156 115.348639 \nL 160.281921 123.037262 \nL 149.376921 128.951667 \nL 143.953087 132.08004 \nL 139.719135 134.782649 \nL 136.415959 137.22254 \nL 133.807529 139.511926 \nL 131.690892 141.716879 \nL 129.07611 144.928881 \nL 125.174899 150.036249 \nL 123.49788 151.955807 \nL 121.64089 153.774336 \nL 119.538427 155.464913 \nL 117.129265 156.993336 \nL 114.356019 158.314593 \nL 111.166838 159.36822 \nL 109.402629 159.770192 \nL 107.519968 160.07273 \nL 105.516605 160.261399 \nL 103.392255 160.319771 \nL 101.14916 160.229347 \nL 98.792752 159.969558 \nL 96.332402 159.51794 \nL 93.782258 158.850476 \nL 91.162108 157.942213 \nL 88.498233 156.768198 \nL 85.824158 155.304821 \nL 83.181168 153.531596 \nL 80.618446 151.433384 \nL 78.192672 149.003023 \nL 75.96688 146.244215 \nL 74.008438 143.174392 \nL 72.386079 139.82719 \nL 71.166024 136.254084 \nL 70.407424 132.524612 \nL 70.157541 128.724809 \nL 70.447217 124.953581 \nL 71.287315 121.317082 \nL 72.666729 117.921648 \nL 74.552366 114.866017 \nL 76.89124 112.23401 \nL 79.614373 110.088644 \nL 82.641976 108.468557 \nL 85.88915 107.387024 \nL 89.271379 106.833569 \nL 92.709178 106.777583 \nL 96.131555 107.173196 \nL 99.478149 107.964592 \nL 102.700153 109.091083 \nL 105.760217 110.491445 \nL 108.631654 112.107215 \nL 111.297196 113.884976 \nL 113.747532 115.77766 \nL 115.979827 117.745073 \nL 117.996312 119.75384 \nL 119.803023 121.77696 \nL 121.408712 123.793135 \nL 122.823938 125.786008 \nL 124.060335 127.743386 \nL 126.045129 131.519321 \nL 127.458369 135.080607 \nL 128.386744 138.414892 \nL 128.903278 141.526028 \nL 129.065301 144.426316 \nL 128.914213 147.131591 \nL 128.476168 149.658152 \nL 127.76314 152.020735 \nL 126.77402 154.231077 \nL 125.49559 156.296617 \nL 123.903354 158.219036 \nL 121.962325 159.992338 \nL 119.628021 161.600107 \nL 116.848118 163.011622 \nL 115.273271 163.628987 \nL 113.565471 164.176486 \nL 111.717722 164.643575 \nL 109.723622 165.017489 \nL 107.577794 165.282949 \nL 105.276437 165.421849 \nL 102.817995 165.412998 \nL 100.204013 165.231896 \nL 97.440131 164.850665 \nL 94.537273 164.23815 \nL 91.512964 163.36034 \nL 88.392769 162.181183 \nL 85.211731 160.66398 \nL 82.015671 158.773441 \nL 78.86214 156.478556 \nL 75.820728 153.756301 \nL 72.972394 150.596083 \nL 70.407484 147.004665 \nL 68.222141 143.011015 \nL 66.512983 138.670319 \nL 65.370263 134.066156 \nL 64.870003 129.309857 \nL 65.066092 124.536262 \nL 65.983571 119.89566 \nL 67.61435 115.542558 \nL 69.916345 111.622631 \nL 72.816419 108.259917 \nL 76.216726 105.546435 \nL 80.003371 103.535843 \nL 84.055987 102.242037 \nL 88.256692 101.642366 \nL 92.497357 101.684374 \nL 96.684564 102.294481 \nL 100.742192 103.387063 \nL 104.611937 104.872597 \nL 108.252328 106.664163 \nL 111.636789 108.681969 \nL 114.751233 110.856012 \nL 117.591597 113.127234 \nL 120.161509 115.447456 \nL 122.470246 117.778621 \nL 124.531024 120.091599 \nL 126.359606 122.364843 \nL 127.973204 124.583012 \nL 130.626745 128.816593 \nL 132.631474 132.750824 \nL 134.115374 136.380995 \nL 135.188705 139.721858 \nL 135.94237 142.797139 \nL 136.448672 145.63358 \nL 136.862057 149.497968 \nL 136.970742 152.96542 \nL 136.84969 156.104476 \nL 136.532718 158.971444 \nL 136.021928 161.612588 \nL 135.29274 164.066599 \nL 134.294972 166.366505 \nL 133.443239 167.828267 \nL 132.406817 169.241096 \nL 131.146724 170.610285 \nL 129.614837 171.938523 \nL 127.752296 173.224275 \nL 125.487828 174.459103 \nL 122.736282 175.623398 \nL 119.397968 176.679699 \nL 115.359926 177.562544 \nL 113.040747 177.907241 \nL 110.501217 178.163496 \nL 107.727071 178.307608 \nL 104.705831 178.310231 \nL 101.428057 178.13544 \nL 97.889022 177.739821 \nL 94.090866 177.071693 \nL 90.045298 176.0707 \nL 85.776887 174.668024 \nL 81.326824 172.787634 \nL 76.757005 170.349091 \nL 72.153963 167.272448 \nL 67.631966 163.485855 \nL 63.334219 158.936078 \nL 59.430896 153.601818 \nL 56.112557 147.508589 \nL 53.578 140.742829 \nL 52.016391 133.461681 \nL 51.585253 125.894154 \nL 52.387665 118.330038 \nL 54.453613 111.095345 \nL 57.730463 104.516877 \nL 62.085948 98.882546 \nL 67.323711 94.406311 \nL 73.207883 91.205941 \nL 79.490955 89.297819 \nL 85.938913 88.608144 \nL 92.349498 88.995623 \nL 98.56202 90.278804 \nL 104.459537 92.262108 \nL 109.965549 94.756383 \nL 115.037638 97.592602 \nL 119.660074 100.628864 \nL 123.836755 103.752298 \nL 127.585155 106.877411 \nL 130.931532 109.942545 \nL 133.907314 112.905614 \nL 136.546497 115.739803 \nL 140.953607 120.968461 \nL 144.420786 125.590441 \nL 148.378422 131.451244 \nL 153.218971 138.784026 \nL 154.953852 140.992981 \nL 156.73232 142.829554 \nL 158.636493 144.304139 \nL 160.736323 145.414333 \nL 161.87875 145.828552 \nL 163.091931 146.145017 \nL 164.381958 146.359886 \nL 165.754284 146.468575 \nL 167.213621 146.465799 \nL 168.763806 146.345644 \nL 170.407599 146.101659 \nL 172.146446 145.726998 \nL 173.980174 145.214618 \nL 175.906635 144.55754 \nL 177.92129 143.749182 \nL 180.016745 142.783804 \nL 182.182246 141.657059 \nL 184.403162 140.366638 \nL 186.660483 138.913039 \nL 188.930378 137.300438 \nL 191.183874 135.537595 \nL 193.38674 133.638789 \nL 195.499643 131.624635 \nL 197.478681 129.522717 \nL 199.276389 127.36786 \nL 200.843227 125.201908 \nL 202.129615 123.072843 \nL 203.088453 121.033177 \nL 203.677967 119.13756 \nL 203.864685 117.439733 \nL 203.626241 115.989037 \nL 202.953662 114.826859 \nL 201.852806 113.98342 \nL 200.344719 113.475411 \nL 198.464749 113.304836 \nL 196.260542 113.459232 \nL 193.78905 113.913306 \nL 191.113 114.631635 \nL 188.297179 115.572153 \nL 185.404961 116.68976 \nL 179.621044 119.280536 \nL 174.148452 122.094792 \nL 169.244787 124.916384 \nL 165.044968 127.625631 \nL 161.588955 130.176064 \nL 158.854153 132.564417 \nL 156.78346 134.805857 \nL 155.305928 136.918132 \nL 154.350334 138.913578 \nL 153.853243 140.796313 \nL 153.763176 142.562256 \nL 154.042325 144.200157 \nL 154.666752 145.692705 \nL 155.625762 147.017171 \nL 156.920808 148.145477 \nL 158.56406 149.043651 \nL 160.576612 149.670801 \nL 162.986054 149.977845 \nL 165.822984 149.906251 \nL 169.115777 149.387425 \nL 172.882733 148.343626 \nL 174.944247 147.598956 \nL 177.120574 146.691962 \nL 179.405298 145.612967 \nL 181.788386 144.353534 \nL 184.255444 142.907211 \nL 186.786957 141.270474 \nL 189.357554 139.443831 \nL 191.935373 137.433078 \nL 194.481629 135.250626 \nL 196.950514 132.916833 \nL 199.28952 130.461137 \nL 201.440417 127.922822 \nL 203.340908 125.351167 \nL 204.927116 122.804723 \nL 206.136828 120.349501 \nL 206.913394 118.055976 \nL 207.209959 115.994938 \nL 206.993627 114.232526 \nL 206.248998 112.824931 \nL 204.980556 111.813464 \nL 203.213442 111.220802 \nL 200.992394 111.049063 \nL 198.378882 111.280023 \nL 195.446818 111.877568 \nL 192.277386 112.791883 \nL 188.953687 113.964716 \nL 185.55585 115.334811 \nL 178.820892 118.435346 \nL 172.534176 121.701741 \nL 166.979215 124.883456 \nL 162.281884 127.863259 \nL 158.4544 130.615943 \nL 155.440176 133.164011 \nL 153.149133 135.545216 \nL 151.481588 137.794214 \nL 150.342655 139.935017 \nL 149.649898 141.979796 \nL 149.336676 143.930564 \nL 149.352924 145.781658 \nL 149.664596 147.521878 \nL 150.252513 149.135931 \nL 151.111075 150.605018 \nL 152.247056 151.906694 \nL 153.67857 153.014013 \nL 155.434127 153.894125 \nL 157.551607 154.506358 \nL 160.076817 154.799888 \nL 163.061052 154.711215 \nL 166.556871 154.161851 \nL 168.511693 153.685442 \nL 170.610834 153.057119 \nL 172.857232 152.262758 \nL 175.251623 151.287698 \nL 177.791788 150.117135 \nL 180.471649 148.736733 \nL 183.280244 147.133455 \nL 186.200586 145.296671 \nL 189.20844 143.219583 \nL 192.271117 140.900959 \nL 195.346391 138.347158 \nL 198.381701 135.57434 \nL 201.313871 132.610699 \nL 204.069597 129.49843 \nL 206.566983 126.295015 \nL 208.718326 123.073415 \nL 210.434348 119.920601 \nL 211.629735 116.934074 \nL 212.229735 114.216198 \nL 212.177133 111.866561 \nL 211.438728 109.97313 \nL 210.010245 108.603384 \nL 207.918702 107.796969 \nL 205.221609 107.561288 \nL 202.002879 107.871026 \nL 198.365998 108.671843 \nL 194.425531 109.887457 \nL 190.298265 111.42879 \nL 186.095238 113.20348 \nL 177.842582 117.114721 \nL 170.261842 121.075159 \nL 163.678001 124.776638 \nL 158.196598 128.113871 \nL 153.779649 131.105203 \nL 150.312599 133.820935 \nL 147.65107 136.337908 \nL 145.648923 138.718188 \nL 144.172971 141.003405 \nL 143.109282 143.216848 \nL 142.364619 145.368251 \nL 141.86531 147.45869 \nL 141.457069 150.471419 \nL 141.345934 153.31912 \nL 141.45588 155.982706 \nL 141.751661 158.446811 \nL 142.228956 160.699199 \nL 142.908995 162.728119 \nL 143.496327 163.949418 \nL 144.213023 165.058628 \nL 145.084396 166.047115 \nL 146.142264 166.902834 \nL 147.426043 167.609003 \nL 148.984038 168.142345 \nL 150.874881 168.470713 \nL 153.16892 168.549942 \nL 155.949245 168.319657 \nL 159.311684 167.697954 \nL 163.3626 166.574987 \nL 168.21245 164.806225 \nL 170.969387 163.623682 \nL 173.961738 162.207423 \nL 177.196161 160.528415 \nL 180.674361 158.556094 \nL 184.391112 156.259463 \nL 188.331823 153.608853 \nL 192.469695 150.578493 \nL 196.76252 147.150049 \nL 201.149377 143.31723 \nL 205.547515 139.091481 \nL 209.850058 134.508399 \nL 213.925266 129.63429 \nL 217.618361 124.571684 \nL 220.756917 119.462203 \nL 223.160611 114.484745 \nL 224.655537 109.847097 \nL 225.092263 105.769817 \nL 224.365395 102.46307 \nL 222.431163 100.099302 \nL 219.318941 98.787236 \nL 215.13312 98.553526 \nL 210.043876 99.337529 \nL 204.268121 101.001392 \nL 198.044737 103.352915 \nL 191.60933 106.175323 \nL 185.173439 109.256558 \nL 172.952698 115.498076 \nL 143.36243 131.061698 \nL 138.448231 133.848475 \nL 134.616111 136.281372 \nL 131.593268 138.51106 \nL 129.144558 140.628908 \nL 126.129469 143.687302 \nL 121.671516 148.497642 \nL 119.777705 150.272476 \nL 117.699828 151.919369 \nL 115.373389 153.400403 \nL 112.74344 154.668459 \nL 109.76548 155.664013 \nL 108.135759 156.036679 \nL 106.409019 156.311374 \nL 104.584754 156.475535 \nL 102.664397 156.515237 \nL 100.65174 156.415211 \nL 98.553424 156.158943 \nL 96.379477 155.728911 \nL 94.143874 155.106959 \nL 91.865087 154.274887 \nL 89.566608 153.21525 \nL 87.277312 151.912444 \nL 85.031654 150.354036 \nL 82.869551 148.532379 \nL 80.835857 146.446387 \nL 78.979356 144.103421 \nL 77.351164 141.52103 \nL 76.002581 138.728371 \nL 74.982392 135.767002 \nL 74.333809 132.690755 \nL 74.09133 129.564476 \nL 74.277802 126.461534 \nL 74.902113 123.460151 \nL 75.957829 120.638869 \nL 77.423035 118.071564 \nL 79.261462 115.822678 \nL 81.424762 113.943198 \nL 83.855681 112.467945 \nL 86.491702 111.414367 \nL 89.268754 110.782945 \nL 92.124554 110.558952 \nL 95.00135 110.715219 \nL 97.847877 111.215432 \nL 100.620529 112.017505 \nL 103.283805 113.076726 \nL 105.810187 114.348383 \nL 108.179585 115.789803 \nL 110.37853 117.361751 \nL 112.39922 119.029247 \nL 114.238532 120.761949 \nL 115.897089 122.534159 \nL 117.378378 124.324579 \nL 118.687991 126.115939 \nL 119.832963 127.894508 \nL 120.821231 129.649614 \nL 122.361272 133.059156 \nL 123.374628 136.302956 \nL 123.921746 139.361831 \nL 124.052477 142.2301 \nL 123.803941 144.90916 \nL 123.199929 147.402964 \nL 122.251218 149.714658 \nL 120.956447 151.843875 \nL 119.303379 153.784187 \nL 117.270641 155.520362 \nL 114.830127 157.025166 \nL 113.447181 157.678057 \nL 111.950598 158.255419 \nL 110.336879 158.748594 \nL 108.603167 159.147318 \nL 106.747589 159.439557 \nL 104.76968 159.611371 \nL 102.670884 159.646821 \nL 100.455143 159.52793 \nL 98.129578 159.234767 \nL 95.705236 158.745654 \nL 93.197911 158.03759 \nL 90.628965 157.086944 \nL 88.026114 155.870461 \nL 85.424086 154.366663 \nL 82.865 152.55765 \nL 80.398369 150.431321 \nL 78.080511 147.98393 \nL 75.973267 145.222794 \nL 74.141829 142.168919 \nL 72.651739 138.859123 \nL 71.565033 135.347245 \nL 70.935881 131.703939 \nL 70.806086 128.014729 \nL 71.201011 124.376142 \nL 72.126537 120.890092 \nL 73.567589 117.657035 \nL 75.48854 114.76876 \nL 77.835535 112.30171 \nL 80.540407 110.311892 \nL 83.525679 108.831953 \nL 86.7099 107.870744 \nL 90.012706 107.415134 \nL 93.359006 107.433636 \nL 96.682069 107.881049 \nL 99.925377 108.703416 \nL 103.043367 109.842696 \nL 106.001268 111.24071 \nL 108.774309 112.842114 \nL 111.346524 114.596437 \nL 113.709393 116.459254 \nL 115.86045 118.392611 \nL 117.80196 120.36496 \nL 119.539747 122.350732 \nL 121.082177 124.329701 \nL 122.4393 126.286289 \nL 123.622167 128.208819 \nL 125.511101 131.920558 \nL 126.839139 135.425615 \nL 127.688026 138.711287 \nL 128.126213 141.780338 \nL 128.206868 144.643614 \nL 127.967594 147.315285 \nL 127.431038 149.809776 \nL 126.605867 152.139661 \nL 125.487814 154.314063 \nL 124.060668 156.337123 \nL 122.297219 158.206189 \nL 120.160317 159.909458 \nL 117.604407 161.422665 \nL 114.578091 162.704548 \nL 112.871915 163.239743 \nL 111.028615 163.690795 \nL 109.042653 164.044816 \nL 106.909638 164.286477 \nL 104.626874 164.397736 \nL 102.194052 164.357618 \nL 99.614071 164.142067 \nL 96.894021 163.723942 \nL 94.046316 163.073212 \nL 91.089939 162.157461 \nL 88.051763 160.942807 \nL 84.967834 159.395356 \nL 81.884474 157.483319 \nL 78.858981 155.179829 \nL 75.959695 152.466526 \nL 73.265054 149.337753 \nL 70.861437 145.805011 \nL 68.839483 141.901234 \nL 67.288907 137.6841 \nL 66.292028 133.237451 \nL 65.916521 128.670057 \nL 66.208385 124.111068 \nL 67.186157 119.702119 \nL 68.837493 115.586808 \nL 71.11889 111.898768 \nL 73.958819 108.750333 \nL 77.263763 106.223527 \nL 80.92624 104.364865 \nL 84.833465 103.184463 \nL 88.875404 102.659271 \nL 92.951259 102.739341 \nL 96.973871 103.355705 \nL 100.872025 104.428551 \nL 104.590928 105.874569 \nL 108.091324 107.612785 \nL 111.347759 109.568685 \nL 114.346421 111.676652 \nL 117.082891 113.881039 \nL 119.560019 116.136189 \nL 121.786036 118.405783 \nL 123.772961 120.661795 \nL 125.535299 122.883272 \nL 127.089 125.055114 \nL 128.450665 127.166949 \nL 130.66404 131.186867 \nL 132.301872 134.920213 \nL 133.476235 138.370901 \nL 134.281181 141.556595 \nL 134.792214 144.500989 \nL 135.067439 147.229406 \nL 135.149465 149.766473 \nL 135.0675 152.134958 \nL 134.839286 154.355325 \nL 134.472712 156.44565 \nL 133.966999 158.421721 \nL 133.313461 160.297174 \nL 132.495827 162.083569 \nL 131.490172 163.790293 \nL 130.264471 165.42421 \nL 128.777858 166.988886 \nL 126.979646 168.483211 \nL 124.808282 169.899095 \nL 122.190531 171.217817 \nL 119.0414 172.404436 \nL 115.265801 173.399441 \nL 113.111735 173.796909 \nL 110.763611 174.10676 \nL 108.209964 174.308598 \nL 105.440956 174.377476 \nL 102.449388 174.283211 \nL 99.232024 173.98973 \nL 95.791271 173.454548 \nL 92.137259 172.628521 \nL 88.290324 171.456067 \nL 84.283833 169.876142 \nL 80.167238 167.824311 \nL 76.009021 165.236296 \nL 71.899095 162.053371 \nL 67.949972 158.229809 \nL 64.295824 153.742342 \nL 61.088486 148.600925 \nL 58.489626 142.859475 \nL 56.658811 136.624331 \nL 55.738065 130.057715 \nL 55.834795 123.37345 \nL 57.006 116.823318 \nL 59.247288 110.674554 \nL 62.489724 105.181661 \nL 66.605783 100.557877 \nL 71.42359 96.952344 \nL 76.746306 94.437665 \nL 82.372615 93.009678 \nL 88.114476 92.598005 \nL 93.80971 93.083729 \nL 99.328644 94.319528 \nL 104.575531 96.148449 \nL 109.486152 98.418702 \nL 114.023259 100.993647 \nL 118.171192 103.75708 \nL 121.93062 106.614912 \nL 125.313911 109.494218 \nL 128.341343 112.340873 \nL 131.038151 115.116498 \nL 133.432315 117.795315 \nL 137.429207 122.805602 \nL 140.560752 127.318663 \nL 143.036976 131.342602 \nL 145.91491 136.538905 \nL 148.934697 142.11275 \nL 150.341549 144.394599 \nL 151.794544 146.368855 \nL 153.365443 148.045022 \nL 155.119112 149.42203 \nL 157.116424 150.48749 \nL 158.224862 150.896216 \nL 159.416126 151.216822 \nL 160.697318 151.444152 \nL 162.075383 151.572141 \nL 163.557018 151.593804 \nL 165.148542 151.501212 \nL 166.855703 151.28551 \nL 168.683429 150.936965 \nL 170.635506 150.445051 \nL 172.714169 149.798616 \nL 174.919605 148.986131 \nL 177.249354 147.996055 \nL 179.697604 146.81736 \nL 182.2544 145.440196 \nL 184.904761 143.856807 \nL 187.627779 142.062628 \nL 190.395702 140.057627 \nL 193.173159 137.84782 \nL 195.916594 135.446939 \nL 198.574089 132.878061 \nL 201.085747 130.175052 \nL 203.384825 127.383552 \nL 205.399773 124.56116 \nL 207.057288 121.776516 \nL 208.286331 119.106985 \nL 209.022958 116.634791 \nL 209.215529 114.441738 \nL 208.829725 112.602915 \nL 207.8527 111.180097 \nL 206.29562 110.21586 \nL 204.19408 109.729359 \nL 201.606163 109.714622 \nL 198.608311 110.141765 \nL 195.289574 110.960834 \nL 191.74507 112.107727 \nL 188.069542 113.511012 \nL 184.351793 115.098607 \nL 177.09174 118.567234 \nL 170.437196 122.0957 \nL 164.650852 125.44391 \nL 159.823957 128.521927 \nL 155.932956 131.333072 \nL 152.890593 133.922124 \nL 150.582979 136.341375 \nL 148.892945 138.633794 \nL 147.71307 140.827724 \nL 146.951873 142.937658 \nL 146.535873 144.967322 \nL 146.409367 146.913059 \nL 146.533111 148.766533 \nL 146.882626 150.516521 \nL 147.446564 152.149803 \nL 148.225336 153.651317 \nL 149.230107 155.003673 \nL 150.48216 156.186166 \nL 152.012554 157.173309 \nL 153.861952 157.932883 \nL 156.08039 158.423497 \nL 158.726583 158.591622 \nL 161.866196 158.368243 \nL 165.568088 157.665446 \nL 167.650602 157.100953 \nL 169.89707 156.373862 \nL 172.312868 155.467157 \nL 174.901076 154.362799 \nL 177.661595 153.042136 \nL 180.590038 151.486551 \nL 183.676451 149.678421 \nL 186.903822 147.602436 \nL 190.246459 145.247346 \nL 193.668307 142.608198 \nL 197.121351 139.689004 \nL 200.544339 136.505771 \nL 203.862112 133.089689 \nL 206.985927 129.490054 \nL 209.815177 125.776394 \nL 212.240903 122.03908 \nL 214.15134 118.387644 \nL 215.439448 114.946122 \nL 216.012009 111.845128 \nL 215.799311 109.21099 \nL 214.764062 107.153042 \nL 212.907889 105.751134 \nL 210.273943 105.04564 \nL 206.944742 105.032303 \nL 203.035291 105.663182 \nL 198.682555 106.853685 \nL 194.033154 108.49421 \nL 189.231291 110.46389 \nL 184.408748 112.643754 \nL 175.128403 117.22686 \nL 166.815181 121.6339 \nL 159.752319 125.581685 \nL 153.975985 129.026821 \nL 149.379081 132.048939 \nL 145.789913 134.763291 \nL 143.020824 137.273933 \nL 140.894049 139.656885 \nL 139.253178 141.959583 \nL 137.966434 144.20696 \nL 136.46937 147.493105 \nL 132.381842 157.614967 \nL 131.358418 159.458233 \nL 130.168106 161.235717 \nL 128.765998 162.944843 \nL 127.101943 164.580743 \nL 125.118825 166.134094 \nL 122.751226 167.587999 \nL 119.924815 168.913469 \nL 116.557086 170.062933 \nL 114.64293 170.549531 \nL 112.56061 170.961099 \nL 110.299674 171.281869 \nL 107.850699 171.492619 \nL 105.205985 171.570131 \nL 102.360483 171.486654 \nL 99.312978 171.209423 \nL 96.067552 170.700322 \nL 92.635373 169.915806 \nL 89.03679 168.807257 \nL 85.30367 167.322 \nL 81.481843 165.405223 \nL 77.633408 163.003128 \nL 73.83852 160.067515 \nL 70.1961 156.561969 \nL 66.822829 152.469522 \nL 63.849717 147.801222 \nL 61.415656 142.604581 \nL 59.65782 136.970167 \nL 58.699373 131.034355 \nL 58.635835 124.9762 \nL 59.522264 119.007185 \nL 61.363869 113.354098 \nL 64.11236 108.2371 \nL 67.669292 103.846893 \nL 71.896026 100.325291 \nL 76.628402 97.753127 \nL 81.693125 96.147349 \nL 86.922942 95.466968 \nL 92.16835 95.625414 \nL 97.304859 96.506165 \nL 102.235916 97.978314 \nL 106.892338 99.90986 \nL 111.229493 102.177457 \nL 115.223296 104.672488 \nL 118.865928 107.303851 \nL 122.161792 109.99834 \nL 125.124037 112.699408 \nL 127.771706 115.365076 \nL 130.127516 117.965479 \nL 132.216174 120.480444 \nL 135.693735 125.20906 \nL 138.402993 129.508509 \nL 140.52537 133.385188 \nL 142.946125 138.471946 \nL 147.027726 147.536 \nL 148.163293 149.522385 \nL 149.400322 151.266653 \nL 150.792694 152.770193 \nL 152.393423 154.025613 \nL 154.256922 155.0157 \nL 156.440612 155.712004 \nL 159.005606 156.072921 \nL 162.016055 156.041416 \nL 163.70859 155.855883 \nL 165.536411 155.542713 \nL 167.506649 155.089529 \nL 169.625454 154.482757 \nL 171.897509 153.707748 \nL 174.325422 152.748993 \nL 176.908962 151.590498 \nL 179.64415 150.216339 \nL 182.522185 148.611462 \nL 185.528213 146.762784 \nL 188.639999 144.660633 \nL 191.826533 142.300549 \nL 195.046718 139.685453 \nL 198.248295 136.828105 \nL 201.367226 133.753673 \nL 204.327856 130.50217 \nL 207.044123 127.130302 \nL 209.422156 123.712242 \nL 211.364473 120.338699 \nL 212.775786 117.113789 \nL 213.570172 114.149321 \nL 213.678967 111.556689 \nL 213.058423 109.436971 \nL 211.695896 107.870567 \nL 209.613332 106.908171 \nL 206.867217 106.56478 \nL 203.544644 106.818178 \nL 199.756026 107.612308 \nL 195.625613 108.864917 \nL 191.281341 110.477881 \nL 186.845554 112.348259 \nL 182.427745 114.378126 \nL 173.994231 118.590604 \nL 166.482704 122.636369 \nL 160.115103 126.298988 \nL 154.912374 129.548601 \nL 150.778458 132.449702 \nL 147.563944 135.093641 \nL 145.10615 137.562477 \nL 143.251021 139.915839 \nL 141.863271 142.19051 \nL 140.829585 144.405217 \nL 140.058083 146.566524 \nL 139.237605 149.706319 \nL 138.507109 153.680175 \nL 137.04016 162.417091 \nL 136.440826 164.713855 \nL 135.667575 166.882494 \nL 134.649561 168.940954 \nL 133.790671 170.26148 \nL 132.748423 171.546859 \nL 131.48093 172.80139 \nL 129.93707 174.02725 \nL 128.054584 175.222709 \nL 125.758107 176.379279 \nL 122.957396 177.477151 \nL 119.546365 178.478063 \nL 115.404146 179.314329 \nL 113.018189 179.637645 \nL 110.400398 179.872531 \nL 107.535202 179.993876 \nL 104.408871 179.970426 \nL 101.010877 179.763727 \nL 97.335724 179.327072 \nL 93.385318 178.604617 \nL 89.171995 177.530867 \nL 84.722165 176.030863 \nL 80.080561 174.021579 \nL 75.314827 171.415048 \nL 70.519931 168.123976 \nL 65.821601 164.07041 \nL 61.377535 159.197863 \nL 57.374827 153.486559 \nL 54.022029 146.97035 \nL 51.534684 139.752436 \nL 50.114439 132.015467 \nL 49.923777 124.021109 \nL 51.060701 116.094973 \nL 53.539212 108.59622 \nL 57.281338 101.875685 \nL 62.123895 96.231149 \nL 67.839087 91.870408 \nL 74.163988 88.890736 \nL 80.831768 87.278516 \nL 87.59808 86.926513 \nL 94.25858 87.662044 \nL 100.656764 89.278215 \nL 106.683791 91.561601 \nL 112.273017 94.312742 \nL 117.392042 97.358587 \nL 122.034342 100.557864 \nL 126.211725 103.801263 \nL 129.94816 107.008398 \nL 133.275055 110.123255 \nL 136.227827 113.109237 \nL 141.159076 118.618047 \nL 145.031968 123.47088 \nL 148.11115 127.68952 \nL 154.693797 137.097931 \nL 156.535326 139.322883 \nL 158.397223 141.149394 \nL 160.366244 142.591702 \nL 162.513971 143.650811 \nL 163.673678 144.033492 \nL 164.899143 144.315052 \nL 166.195795 144.492192 \nL 167.568223 144.560982 \nL 169.020063 144.51691 \nL 170.553859 144.355001 \nL 172.170867 144.06995 \nL 175.651653 143.108654 \nL 179.436622 141.592186 \nL 181.424454 140.616064 \nL 183.459765 139.492356 \nL 185.525992 138.222109 \nL 187.602566 136.809398 \nL 189.664685 135.262058 \nL 191.683234 133.592382 \nL 193.624932 131.817781 \nL 195.452762 129.961244 \nL 197.126734 128.051586 \nL 198.605049 126.12328 \nL 199.845656 124.215851 \nL 200.80818 122.372712 \nL 201.456117 120.63942 \nL 201.759179 119.061426 \nL 201.695526 117.681461 \nL 201.253716 116.536773 \nL 200.43405 115.656552 \nL 199.249187 115.059853 \nL 197.72383 114.754295 \nL 195.893531 114.735781 \nL 193.802685 114.989238 \nL 191.501961 115.490299 \nL 189.04544 116.207657 \nL 186.487758 117.105812 \nL 181.275326 119.297563 \nL 176.228086 121.792104 \nL 171.60989 124.378055 \nL 167.579729 126.921135 \nL 164.208133 129.353252 \nL 161.502067 131.650784 \nL 159.42934 133.813405 \nL 157.93823 135.848597 \nL 156.971428 137.762501 \nL 156.474996 139.555661 \nL 156.40354 141.221729 \nL 156.722757 142.747605 \nL 157.41024 144.114 \nL 158.455188 145.295816 \nL 159.857355 146.262153 \nL 161.625392 146.975956 \nL 163.774486 147.39336 \nL 166.323043 147.463094 \nL 169.287949 147.126389 \nL 172.677791 146.318151 \nL 176.483342 144.97053 \nL 180.66477 143.020426 \nL 182.871738 141.804141 \nL 185.135659 140.422746 \nL 187.435537 138.876781 \nL 189.745332 137.170865 \nL 192.033631 135.314671 \nL 194.263561 133.323901 \nL 196.393 131.221121 \nL 198.375226 129.036372 \nL 200.160065 126.807364 \nL 201.695586 124.579103 \nL 202.930372 122.402794 \nL 203.816272 120.333947 \nL 204.311481 118.429632 \nL 204.383691 116.745115 \nL 204.012943 115.330046 \nL 203.193876 114.22473 \nL 201.936955 113.456897 \nL 200.268501 113.039474 \nL 198.229388 112.969788 \nL 195.872575 113.230239 \nL 193.259711 113.790421 \nL 190.457266 114.610359 \nL 187.532626 115.644311 \nL 184.550563 116.844632 \nL 178.644041 119.564154 \nL 173.117052 122.460116 \nL 168.211327 125.326637 \nL 164.044179 128.057164 \nL 160.640087 130.616551 \nL 157.964625 133.009333 \nL 155.952551 135.255131 \nL 154.527836 137.373726 \nL 153.61646 139.378072 \nL 153.153739 141.27227 \nL 153.087962 143.052058 \nL 153.381695 144.706108 \nL 154.011736 146.217222 \nL 154.968358 147.563004 \nL 156.254158 148.715897 \nL 157.882685 149.642558 \nL 159.876745 150.30274 \nL 162.266172 150.647869 \nL 165.084595 150.619561 \nL 168.364539 150.148675 \nL 172.129932 149.155701 \nL 174.19714 148.436469 \nL 176.384919 147.554046 \nL 178.688079 146.497855 \nL 181.097913 145.258311 \nL 183.601416 143.82757 \nL 186.180481 142.200462 \nL 188.811072 140.375591 \nL 191.462504 138.356652 \nL 194.096859 136.153837 \nL 196.668726 133.785303 \nL 199.125358 131.278479 \nL 201.407439 128.671111 \nL 203.450594 126.011671 \nL 205.187756 123.358949 \nL 206.552405 120.780497 \nL 207.482552 118.349805 \nL 207.925253 116.142174 \nL 207.841174 114.229551 \nL 207.20867 112.674797 \nL 206.02677 111.526139 \nL 204.316504 110.812674 \nL 202.120285 110.541714 \nL 199.499258 110.69843 \nL 196.528961 111.248003 \nL 193.29389 112.13981 \nL 189.881698 113.312989 \nL 186.377741 114.702416 \nL 179.398968 117.880261 \nL 172.857123 121.246781 \nL 167.061859 124.526294 \nL 162.152445 127.589168 \nL 158.144692 130.407726 \nL 154.979564 133.007522 \nL 152.561496 135.431303 \nL 150.784242 137.718658 \nL 149.546322 139.897642 \nL 148.75916 141.983491 \nL 148.350563 143.980549 \nL 148.265467 145.88507 \nL 148.465269 147.687711 \nL 148.926526 149.375252 \nL 149.639547 150.931446 \nL 150.607119 152.337093 \nL 151.843475 153.569419 \nL 153.373492 154.600883 \nL 155.232005 155.397452 \nL 157.462996 155.916373 \nL 160.118264 156.103559 \nL 163.254959 155.890736 \nL 166.93102 155.192876 \nL 168.987755 154.630531 \nL 171.197132 153.906893 \nL 173.562163 153.006559 \nL 176.083337 151.913552 \nL 178.757756 150.611809 \nL 181.57812 149.085892 \nL 184.531542 147.321974 \nL 187.598262 145.309142 \nL 190.750268 143.04108 \nL 193.949969 140.518087 \nL 197.14902 137.749436 \nL 200.287554 134.755882 \nL 203.294058 131.572164 \nL 206.086206 128.249049 \nL 208.572975 124.8545 \nL 210.65826 121.473366 \nL 212.246112 118.20501 \nL 213.247445 115.158528 \nL 213.587694 112.445449 \nL 213.214572 110.170433 \nL 212.104802 108.421023 \nL 210.268568 107.258093 \nL 207.750677 106.708763 \nL 204.627942 106.763325 \nL 201.003005 107.376973 \nL 196.995535 108.476044 \nL 192.732249 109.967537 \nL 188.337309 111.749986 \nL 183.924364 113.723755 \nL 175.415888 117.902084 \nL 167.757927 121.980645 \nL 161.215042 125.702925 \nL 155.837321 129.01304 \nL 151.545176 131.963481 \nL 148.196566 134.642921 \nL 145.630585 137.135378 \nL 143.691951 139.503931 \nL 142.24279 141.788622 \nL 141.166819 144.010641 \nL 140.369345 146.178142 \nL 139.535435 149.326799 \nL 138.82658 153.312308 \nL 137.14297 164.35086 \nL 136.558681 166.504583 \nL 135.793419 168.539599 \nL 134.777095 170.475207 \nL 133.915355 171.720305 \nL 132.866221 172.935714 \nL 131.586635 174.125955 \nL 130.023839 175.29337 \nL 128.113391 176.436303 \nL 125.777079 177.546108 \nL 122.921033 178.602366 \nL 119.434674 179.56532 \nL 115.191809 180.364213 \nL 112.744215 180.667402 \nL 110.056275 180.879843 \nL 107.111771 180.974997 \nL 103.896475 180.919769 \nL 100.399628 180.673365 \nL 96.615912 180.186172 \nL 92.548039 179.398815 \nL 88.210018 178.241642 \nL 83.631118 176.635007 \nL 78.860461 174.490896 \nL 73.971931 171.71651 \nL 69.068838 168.220623 \nL 64.28738 163.923311 \nL 59.797492 158.769463 \nL 55.799369 152.745511 \nL 52.513934 145.89766 \nL 50.16616 138.348137 \nL 48.961636 130.304468 \nL 49.059086 122.056361 \nL 50.54396 113.956272 \nL 53.409671 106.383665 \nL 57.552398 99.698482 \nL 62.782045 94.194055 \nL 68.847267 90.0609 \nL 75.4683 87.369999 \nL 82.369658 86.077771 \nL 89.306072 86.04862 \nL 96.078202 87.086966 \nL 102.538186 88.970273 \nL 108.587284 91.476706 \nL 114.168847 94.40446 \nL 119.259389 97.582464 \nL 123.859807 100.874062 \nL 127.987765 104.175751 \nL 131.67168 107.413209 \nL 134.946219 110.536082 \nL 137.849113 113.51271 \nL 142.693849 118.966355 \nL 146.502943 123.733899 \nL 150.847766 129.684496 \nL 155.185575 135.701625 \nL 157.092794 138.01072 \nL 158.98664 139.902738 \nL 160.95975 141.397091 \nL 163.087247 142.499607 \nL 164.228262 142.902239 \nL 165.429385 143.203386 \nL 166.69598 143.40039 \nL 168.032483 143.489983 \nL 169.442323 143.468366 \nL 170.927786 143.331322 \nL 174.127973 142.692865 \nL 177.621108 141.538864 \nL 181.362092 139.840687 \nL 185.262398 137.589125 \nL 187.230226 136.262232 \nL 189.180021 134.810826 \nL 191.084649 133.246977 \nL 192.913332 131.587344 \nL 194.632065 129.853535 \nL 196.204348 128.072268 \nL 197.592242 126.275188 \nL 198.75776 124.498277 \nL 199.664561 122.78081 \nL 200.279877 121.163832 \nL 200.576522 119.688211 \nL 200.534843 118.392384 \nL 200.144376 117.310015 \nL 199.405028 116.467774 \nL 198.327615 115.883544 \nL 196.933654 115.56529 \nL 195.254365 115.510746 \nL 193.329026 115.707935 \nL 191.202785 116.136529 \nL 188.924222 116.769789 \nL 186.542869 117.576843 \nL 181.661386 119.581966 \nL 176.897231 121.904489 \nL 172.504183 124.345994 \nL 168.642604 126.773935 \nL 165.391249 129.115187 \nL 162.768182 131.338607 \nL 160.75245 133.4366 \nL 159.302271 135.410839 \nL 158.368412 137.263312 \nL 157.9031 138.991719 \nL 157.865351 140.587763 \nL 158.223759 142.036858 \nL 158.957488 143.318401 \nL 160.056079 144.406 \nL 161.51838 145.267482 \nL 163.350713 145.864632 \nL 165.564189 146.152833 \nL 168.170905 146.080993 \nL 171.178568 145.592202 \nL 174.583054 144.62606 \nL 178.358379 143.123732 \nL 182.443916 141.037205 \nL 184.570969 139.766318 \nL 186.729614 138.344027 \nL 188.895988 136.77493 \nL 191.041558 135.068086 \nL 193.133074 133.237801 \nL 195.132776 131.304323 \nL 196.99896 129.294338 \nL 198.686958 127.241115 \nL 200.15058 125.184183 \nL 201.344014 123.168444 \nL 202.224134 121.24261 \nL 202.753077 119.456978 \nL 202.900897 117.860665 \nL 202.648024 116.498478 \nL 201.987237 115.407783 \nL 200.924876 114.615711 \nL 199.481073 114.137139 \nL 197.688914 113.9737 \nL 195.592596 114.114055 \nL 193.244777 114.535336 \nL 190.703407 115.205524 \nL 188.028408 116.086519 \nL 185.278583 117.137328 \nL 179.768862 119.587479 \nL 174.53871 122.270076 \nL 169.83549 124.980634 \nL 165.793764 127.601302 \nL 162.459132 130.081616 \nL 159.817256 132.412204 \nL 157.819715 134.602311 \nL 156.403479 136.664908 \nL 155.504038 138.60881 \nL 155.063374 140.4356 \nL 155.034266 142.139251 \nL 155.382148 143.706823 \nL 156.085466 145.119253 \nL 157.135111 146.351856 \nL 158.533284 147.374282 \nL 160.291899 148.149972 \nL 162.430426 148.635261 \nL 164.972896 148.778399 \nL 167.943561 148.51889 \nL 171.360547 147.78788 \nL 175.226633 146.510726 \nL 177.321672 145.643891 \nL 179.51636 144.613357 \nL 181.800319 143.411969 \nL 184.159101 142.034572 \nL 186.573519 140.478872 \nL 189.019025 138.74642 \nL 191.465193 136.843723 \nL 193.875395 134.783402 \nL 196.206786 132.585311 \nL 198.410689 130.277463 \nL 200.433526 127.896628 \nL 202.218388 125.488342 \nL 203.707268 123.106184 \nL 204.843956 120.810102 \nL 205.577468 118.663739 \nL 205.86572 116.730823 \nL 205.679135 115.070869 \nL 205.003694 113.734624 \nL 203.842999 112.759864 \nL 202.218979 112.168142 \nL 200.17103 111.963043 \nL 197.753646 112.130265 \nL 195.032784 112.63956 \nL 192.081435 113.448182 \nL 188.974994 114.505275 \nL 185.786927 115.756562 \nL 179.429567 118.632442 \nL 173.447231 121.713883 \nL 168.120496 124.75827 \nL 163.585454 127.641812 \nL 159.870188 130.326869 \nL 156.934601 132.823571 \nL 154.703221 135.159936 \nL 153.088305 137.363956 \nL 152.004318 139.455401 \nL 151.376059 141.443711 \nL 151.142538 143.328875 \nL 151.258262 145.103287 \nL 151.693068 146.753485 \nL 152.431258 148.261272 \nL 153.47045 149.604082 \nL 154.820369 150.754629 \nL 156.501607 151.679923 \nL 158.544224 152.339771 \nL 160.985903 152.684857 \nL 163.869147 152.654736 \nL 167.236798 152.176158 \nL 169.114051 151.742136 \nL 171.124795 151.162574 \nL 173.270591 150.424938 \nL 175.550852 149.516404 \nL 177.962174 148.424258 \nL 180.49754 147.136461 \nL 183.145426 145.642432 \nL 185.888837 143.934022 \nL 188.704296 142.006779 \nL 191.560873 139.861427 \nL 194.419337 137.50557 \nL 197.231627 134.955495 \nL 199.940729 132.237962 \nL 202.481261 129.39168 \nL 204.780906 126.468238 \nL 206.762872 123.532047 \nL 208.349501 120.658976 \nL 209.466894 117.933384 \nL 210.050354 115.443422 \nL 210.050068 113.274855 \nL 209.436397 111.503928 \nL 208.203917 110.190265 \nL 206.373492 109.370857 \nL 203.991852 109.056289 \nL 201.12858 109.229989 \nL 197.870852 109.850662 \nL 194.316704 110.85757 \nL 190.567799 112.177536 \nL 186.722702 113.732602 \nL 182.871395 115.446973 \nL 175.446181 119.092141 \nL 168.738652 122.709216 \nL 162.97573 126.087063 \nL 158.215104 129.163892 \nL 154.407165 131.963249 \nL 151.446746 134.541479 \nL 149.208724 136.956005 \nL 147.569442 139.25116 \nL 146.418037 141.454987 \nL 145.661325 143.581243 \nL 145.224945 145.633229 \nL 145.05251 147.607422 \nL 145.10387 149.496314 \nL 145.353153 151.290228 \nL 145.786952 152.97823 \nL 146.40285 154.548373 \nL 147.208364 155.987347 \nL 148.220309 157.279699 \nL 149.464559 158.406665 \nL 150.97611 159.344594 \nL 152.799325 160.06293 \nL 154.988145 160.521654 \nL 157.605929 160.668144 \nL 160.724316 160.433471 \nL 164.420208 159.728377 \nL 166.508706 159.165058 \nL 168.769325 158.439704 \nL 171.209372 157.534195 \nL 173.834129 156.429012 \nL 176.64593 155.103573 \nL 179.643051 153.536809 \nL 182.818337 151.708053 \nL 186.157601 149.598326 \nL 189.637813 147.192102 \nL 193.225147 144.479622 \nL 196.873037 141.459779 \nL 200.52044 138.143525 \nL 204.090636 134.557593 \nL 207.491016 130.748185 \nL 210.614299 126.78402 \nL 213.341733 122.757935 \nL 215.548638 118.786071 \nL 217.11243 115.003727 \nL 217.922779 111.557276 \nL 217.892957 108.592229 \nL 216.970807 106.238544 \nL 215.147365 104.595347 \nL 212.46118 103.717982 \nL 208.997038 103.61037 \nL 204.87882 104.224689 \nL 200.257643 105.468658 \nL 195.297426 107.218868 \nL 190.160471 109.337191 \nL 184.995342 111.686785 \nL 175.05987 116.611663 \nL 166.183976 121.298226 \nL 155.442368 127.279386 \nL 149.972231 130.574426 \nL 145.668661 133.45769 \nL 142.323823 136.063312 \nL 139.732419 138.496463 \nL 137.709722 140.826843 \nL 136.097756 143.093967 \nL 134.765243 145.315816 \nL 132.527295 149.634341 \nL 130.339332 153.752012 \nL 129.10866 155.717036 \nL 127.714182 157.608677 \nL 126.102206 159.417216 \nL 124.216729 161.129662 \nL 121.997695 162.727092 \nL 119.380134 164.180871 \nL 116.294627 165.447411 \nL 114.554071 165.99106 \nL 112.669954 166.461104 \nL 110.634098 166.844393 \nL 108.439268 167.125149 \nL 106.079709 167.284583 \nL 103.551835 167.30055 \nL 100.855099 167.147223 \nL 97.993057 166.794905 \nL 94.974645 166.210006 \nL 91.815652 165.355326 \nL 88.540356 164.190771 \nL 85.183235 162.674664 \nL 81.790594 160.76581 \nL 78.421893 158.426521 \nL 75.150433 155.626632 \nL 72.063025 152.348526 \nL 69.258195 148.592849 \nL 66.842505 144.384436 \nL 64.924836 139.777476 \nL 63.608662 134.858812 \nL 62.982924 129.748017 \nL 63.112587 124.593266 \nL 64.030334 119.562488 \nL 65.731049 114.830438 \nL 68.170318 110.563253 \nL 71.267582 106.903055 \nL 74.913476 103.95526 \nL 78.980086 101.780838 \nL 83.332283 100.394542 \nL 87.838332 99.768831 \nL 92.37833 99.842041 \nL 96.849833 100.528888 \nL 101.170571 101.731242 \nL 105.278751 103.347654 \nL 109.131615 105.280784 \nL 112.702966 107.442413 \nL 115.98026 109.756201 \nL 118.961695 112.158662 \nL 121.653551 114.598869 \nL 124.067902 117.037298 \nL 126.22074 119.444329 \nL 128.130484 121.798585 \nL 129.816829 124.085334 \nL 132.599546 128.422303 \nL 134.724609 132.421393 \nL 136.333081 136.085176 \nL 137.546144 139.434283 \nL 138.838625 143.929706 \nL 139.722869 147.878124 \nL 142.130966 159.677305 \nL 142.898641 161.849214 \nL 143.52304 163.143546 \nL 144.265861 164.313139 \nL 145.15577 165.352488 \nL 146.226759 166.251844 \nL 147.519554 166.996117 \nL 149.083118 167.563301 \nL 150.976213 167.922267 \nL 153.268858 168.029736 \nL 156.043366 167.826252 \nL 159.394332 167.23101 \nL 163.426418 166.135651 \nL 168.247904 164.397772 \nL 170.986305 163.232812 \nL 173.956781 161.836193 \nL 177.165683 160.179458 \nL 180.614456 158.232691 \nL 184.297707 155.965613 \nL 188.200826 153.34932 \nL 192.297217 150.358777 \nL 196.545188 146.976289 \nL 200.884743 143.195993 \nL 205.234582 139.029355 \nL 209.489874 134.511407 \nL 213.521581 129.707083 \nL 217.178232 124.716532 \nL 220.291162 119.677891 \nL 222.683936 114.765558 \nL 224.186187 110.182124 \nL 224.651076 106.142908 \nL 223.974231 102.853649 \nL 222.110885 100.4842 \nL 219.087224 99.143229 \nL 215.002555 98.860193 \nL 210.020769 99.579807 \nL 204.352254 101.171095 \nL 198.230077 103.449041 \nL 191.885459 106.203137 \nL 185.527298 109.225805 \nL 173.420415 115.387416 \nL 143.941899 130.947056 \nL 139.029491 133.759428 \nL 135.199397 136.217933 \nL 132.181873 138.472185 \nL 129.743475 140.613794 \nL 127.689277 142.689362 \nL 120.521067 150.400141 \nL 118.48977 152.09018 \nL 116.213842 153.623694 \nL 113.636178 154.956243 \nL 110.708886 156.031356 \nL 109.10238 156.450473 \nL 107.396374 156.776588 \nL 105.589366 156.997496 \nL 103.681619 157.099544 \nL 101.675572 157.067618 \nL 99.576333 156.885186 \nL 97.392212 156.534463 \nL 95.135324 155.996701 \nL 92.822186 155.252691 \nL 90.474304 154.283478 \nL 88.118665 153.071336 \nL 85.788084 151.601052 \nL 83.521261 149.861492 \nL 81.362488 147.847419 \nL 79.360859 145.561478 \nL 77.568903 143.016171 \nL 76.040599 140.23562 \nL 74.828757 137.25679 \nL 73.981931 134.129895 \nL 73.54104 130.917674 \nL 73.536074 127.693368 \nL 73.983261 124.537337 \nL 74.883106 121.532577 \nL 76.219621 118.759504 \nL 77.960933 116.290656 \nL 80.061242 114.185949 \nL 82.463858 112.48912 \nL 85.104968 111.225735 \nL 87.917634 110.402977 \nL 90.835567 110.011012 \nL 93.796324 110.025604 \nL 96.743709 110.411514 \nL 99.629321 111.126142 \nL 102.413271 112.123043 \nL 105.064215 113.354938 \nL 107.558901 114.776114 \nL 109.881363 116.344147 \nL 112.021925 118.020954 \nL 113.976158 119.773327 \nL 115.74385 121.573029 \nL 117.328055 123.396601 \nL 118.734249 125.224974 \nL 119.969598 127.042981 \nL 121.042353 128.838816 \nL 122.735595 132.330537 \nL 123.885023 135.654235 \nL 124.556211 138.788988 \nL 124.804157 141.729031 \nL 124.670833 144.476786 \nL 124.184422 147.038049 \nL 123.35955 149.41852 \nL 122.198057 151.621118 \nL 120.690136 153.643596 \nL 118.81577 155.476047 \nL 116.54669 157.097975 \nL 115.253708 157.819813 \nL 113.849196 158.47465 \nL 112.328801 159.055185 \nL 110.688503 159.552608 \nL 108.924895 159.95643 \nL 107.035539 160.254306 \nL 105.019394 160.431872 \nL 102.877345 160.472635 \nL 100.612809 160.357891 \nL 98.232456 160.066799 \nL 95.747002 159.576553 \nL 93.172088 158.862805 \nL 90.529178 157.900342 \nL 87.846435 156.664118 \nL 85.159459 155.130709 \nL 82.511758 153.280206 \nL 79.954835 151.098594 \nL 77.547624 148.580485 \nL 75.355193 145.732106 \nL 73.446499 142.574176 \nL 71.891159 139.144333 \nL 70.755353 135.498542 \nL 70.097052 131.71101 \nL 69.961132 127.872167 \nL 70.374882 124.084507 \nL 71.344665 120.456508 \nL 72.854304 117.095123 \nL 74.865525 114.097896 \nL 77.320543 111.54567 \nL 80.146397 109.497047 \nL 83.260445 107.985321 \nL 86.576192 107.018123 \nL 90.008749 106.579568 \nL 93.479318 106.634369 \nL 96.918398 107.132982 \nL 100.267658 108.017043 \nL 103.480576 109.224407 \nL 106.52215 110.69333 \nL 109.367934 112.365581 \nL 112.002689 114.188495 \nL 114.418877 116.116106 \nL 116.615149 118.109476 \nL 118.594952 120.136536 \nL 120.365282 122.171541 \nL 121.935628 124.194356 \nL 123.317098 126.189654 \nL 124.521708 128.14613 \nL 126.449756 131.913192 \nL 127.815956 135.459825 \nL 128.706871 138.776754 \nL 129.194832 141.869781 \nL 129.336223 144.752419 \nL 129.171444 147.441248 \nL 128.725705 149.953017 \nL 128.010143 152.302786 \nL 127.022933 154.502547 \nL 125.750238 156.560018 \nL 124.167 158.477252 \nL 122.237664 160.248748 \nL 119.917081 161.858764 \nL 117.152031 163.277481 \nL 115.584652 163.900649 \nL 113.884078 164.455626 \nL 112.043054 164.932039 \nL 110.054861 165.317298 \nL 107.913741 165.596294 \nL 105.615436 165.751075 \nL 103.157851 165.760566 \nL 100.541896 165.60033 \nL 97.77249 165.242452 \nL 94.85974 164.65561 \nL 91.820293 163.805446 \nL 88.678784 162.655315 \nL 85.469346 161.167624 \nL 82.236978 159.305827 \nL 79.038601 157.037254 \nL 75.943494 154.336808 \nL 73.032787 151.191461 \nL 70.397619 147.605286 \nL 68.135679 143.604537 \nL 66.345964 139.241951 \nL 65.12187 134.599323 \nL 64.543186 129.78724 \nL 64.667873 124.941184 \nL 65.524937 120.213639 \nL 67.109671 115.762803 \nL 69.382392 111.739176 \nL 72.271084 108.272241 \nL 75.677657 105.459389 \nL 79.486745 103.358956 \nL 83.57556 101.988327 \nL 87.823241 101.326887 \nL 92.118502 101.322784 \nL 96.364925 101.90184 \nL 100.483752 102.976904 \nL 104.414542 104.456385 \nL 108.114209 106.25108 \nL 111.555051 108.278928 \nL 114.72228 110.46789 \nL 117.611474 112.757145 \nL 120.226165 115.097098 \nL 122.575726 117.448596 \nL 124.673599 119.781703 \nL 126.535857 122.074295 \nL 128.180082 124.310658 \nL 130.887297 128.576363 \nL 132.938256 132.536594 \nL 134.463998 136.186835 \nL 135.577582 139.542374 \nL 136.372459 142.62754 \nL 136.923272 145.469597 \nL 137.414481 149.335261 \nL 137.621028 152.796065 \nL 137.591851 156.897461 \nL 137.294178 160.528068 \nL 136.90279 163.001983 \nL 136.346427 165.300622 \nL 135.585068 167.453882 \nL 134.556874 169.488928 \nL 133.680695 170.792196 \nL 132.612767 172.060183 \nL 131.310452 173.297717 \nL 129.721279 174.507088 \nL 127.781075 175.68619 \nL 125.412023 176.825484 \nL 122.520959 177.903124 \nL 118.998603 178.877286 \nL 114.72106 179.674402 \nL 112.25776 179.970746 \nL 109.55608 180.171712 \nL 106.600686 180.250245 \nL 103.378456 180.172756 \nL 99.879988 179.898036 \nL 96.101616 179.37621 \nL 92.048 178.547927 \nL 87.735388 177.343988 \nL 83.195521 175.685854 \nL 78.480091 173.487506 \nL 73.665417 170.659314 \nL 68.856755 167.114616 \nL 64.191246 162.779601 \nL 59.838149 157.606708 \nL 55.994708 151.590876 \nL 52.876076 144.786805 \nL 50.698473 137.323683 \nL 49.656156 129.412661 \nL 49.895122 121.341949 \nL 51.488569 113.456374 \nL 54.420273 106.121903 \nL 58.581237 99.680934 \nL 63.781564 94.408204 \nL 69.775148 90.477916 \nL 76.291135 87.949628 \nL 83.064688 86.774508 \nL 89.86104 86.817579 \nL 96.489865 87.888408 \nL 102.810135 89.772223 \nL 108.727689 92.255847 \nL 114.188486 95.145693 \nL 119.17014 98.277668 \nL 123.673598 101.520544 \nL 127.715936 104.774709 \nL 131.324624 107.968383 \nL 134.533237 111.05271 \nL 137.378384 113.996737 \nL 142.127941 119.40338 \nL 145.862757 124.14617 \nL 150.122372 130.093335 \nL 154.373756 136.151928 \nL 156.243455 138.49667 \nL 158.101778 140.432667 \nL 160.041148 141.97863 \nL 162.137436 143.139848 \nL 163.264326 143.574294 \nL 164.45274 143.908754 \nL 165.70847 144.140413 \nL 167.036478 144.265793 \nL 168.440811 144.280818 \nL 169.924481 144.180907 \nL 171.489302 143.961084 \nL 174.862359 143.140891 \nL 178.541442 141.780034 \nL 182.471 139.848091 \nL 184.499336 138.664538 \nL 186.546723 137.338687 \nL 188.590685 135.876614 \nL 190.604579 134.288442 \nL 192.557623 132.588986 \nL 194.415195 130.798295 \nL 196.139429 128.941996 \nL 197.690169 127.051307 \nL 199.026298 125.162657 \nL 200.107461 123.316807 \nL 200.89607 121.557412 \nL 201.359529 119.929084 \nL 201.472457 118.474998 \nL 201.218729 117.234284 \nL 200.593073 116.239412 \nL 199.602012 115.513939 \nL 198.264011 115.070866 \nL 196.608716 114.911891 \nL 194.675403 115.027614 \nL 192.510729 115.398753 \nL 190.166084 115.998093 \nL 187.694801 116.792973 \nL 182.579884 118.827354 \nL 177.541428 121.227334 \nL 172.86496 123.768385 \nL 168.733126 126.29928 \nL 165.237057 128.737025 \nL 162.399179 131.047656 \nL 160.197487 133.225049 \nL 158.586054 135.274285 \nL 157.510101 137.201199 \nL 156.916005 139.007055 \nL 156.757292 140.686604 \nL 156.997769 142.227873 \nL 157.612734 143.612623 \nL 158.58893 144.816737 \nL 159.923662 145.810319 \nL 161.623239 146.557425 \nL 163.700724 147.015529 \nL 166.172753 147.134973 \nL 169.055006 146.858888 \nL 172.355775 146.124245 \nL 176.066961 144.865118 \nL 180.151969 143.019588 \nL 182.311744 141.861553 \nL 184.530539 140.542007 \nL 186.788703 139.06091 \nL 189.061794 137.421998 \nL 191.32023 135.633718 \nL 193.529163 133.710144 \nL 195.648622 131.671822 \nL 197.634048 129.546398 \nL 199.437285 127.368904 \nL 201.008114 125.181517 \nL 202.296305 123.032658 \nL 203.254168 120.975355 \nL 203.839445 119.064808 \nL 204.018344 117.355272 \nL 203.768362 115.896512 \nL 203.080605 114.730164 \nL 201.961245 113.886504 \nL 200.431839 113.38205 \nL 198.528427 113.218397 \nL 196.29944 113.382487 \nL 193.802665 113.848304 \nL 191.101633 114.579654 \nL 188.261843 115.533716 \nL 185.347245 116.664732 \nL 179.524869 119.279936 \nL 174.02326 122.113665 \nL 169.09957 124.949458 \nL 164.887138 127.668603 \nL 161.423938 130.226032 \nL 158.685468 132.619787 \nL 156.613017 134.866021 \nL 155.134388 136.983132 \nL 154.177447 138.983844 \nL 153.678105 140.872509 \nL 153.584444 142.645206 \nL 153.858364 144.29084 \nL 154.475746 145.792263 \nL 155.425811 147.12697 \nL 156.710009 148.267138 \nL 158.340617 149.17911 \nL 160.338977 149.822346 \nL 162.733145 150.148101 \nL 165.554493 150.098119 \nL 168.832628 149.60388 \nL 172.587693 148.587363 \nL 174.64509 147.857082 \nL 176.819058 146.964725 \nL 179.103657 145.900332 \nL 181.489393 144.655086 \nL 183.962464 143.222052 \nL 186.503988 141.597106 \nL 189.08924 139.780037 \nL 191.686982 137.775805 \nL 194.258998 135.595892 \nL 196.759903 133.259669 \nL 199.13743 130.795601 \nL 201.333297 128.242097 \nL 203.2848 125.647756 \nL 204.927231 123.070795 \nL 206.197081 120.577335 \nL 207.035943 118.238515 \nL 207.394804 116.126402 \nL 207.238335 114.308999 \nL 206.548605 112.844814 \nL 205.327698 111.777772 \nL 203.598713 111.133165 \nL 201.40489 110.915453 \nL 198.806904 111.10823 \nL 195.878597 111.676493 \nL 192.701789 112.570767 \nL 189.360772 113.732408 \nL 185.937273 115.099195 \nL 179.133188 118.21113 \nL 172.765171 121.502876 \nL 167.127765 124.713858 \nL 162.353695 127.720798 \nL 158.458364 130.496141 \nL 155.385795 133.062434 \nL 153.044998 135.458586 \nL 151.334635 137.720728 \nL 150.157884 139.874213 \nL 149.430366 141.932279 \nL 149.083598 143.897773 \nL 149.065821 145.765694 \nL 149.341436 147.525453 \nL 149.889826 149.162396 \nL 150.704033 150.658486 \nL 151.78955 151.99223 \nL 153.163277 153.137902 \nL 154.852626 154.064201 \nL 156.894612 154.732386 \nL 159.334595 155.093964 \nL 162.224199 155.088118 \nL 165.617626 154.639193 \nL 167.519412 154.220427 \nL 169.565219 153.655024 \nL 171.758985 152.928976 \nL 174.102734 152.027556 \nL 176.595882 150.935652 \nL 179.234379 149.638283 \nL 182.009727 148.121328 \nL 184.907858 146.372517 \nL 187.907908 144.382739 \nL 190.980955 142.147662 \nL 194.088828 139.669688 \nL 197.183108 136.960153 \nL 200.204555 134.041654 \nL 203.083188 130.950244 \nL 205.739317 127.737163 \nL 208.085771 124.469634 \nL 210.03155 121.230217 \nL 211.486934 118.114218 \nL 212.369819 115.224892 \nL 212.612844 112.666418 \nL 212.170425 110.535183 \nL 211.024665 108.910485 \nL 209.189077 107.846015 \nL 206.709235 107.36383 \nL 203.659994 107.452017 \nL 200.13956 108.066668 \nL 196.261296 109.137896 \nL 192.144576 110.578574 \nL 187.906054 112.294244 \nL 183.652454 114.192368 \nL 175.449615 118.216999 \nL 168.057371 122.165096 \nL 161.730333 125.792683 \nL 156.521677 129.041314 \nL 152.361046 131.954439 \nL 149.117264 134.611071 \nL 146.639719 137.087508 \nL 144.782078 139.441542 \nL 143.414022 141.709961 \nL 142.425688 143.912082 \nL 141.728022 146.054953 \nL 141.251059 148.138178 \nL 140.836284 151.141585 \nL 140.675626 153.982735 \nL 140.733192 157.491163 \nL 141.032532 160.657832 \nL 141.410689 162.800192 \nL 141.941352 164.737844 \nL 142.662712 166.463405 \nL 143.2774 167.489646 \nL 144.025373 168.409374 \nL 144.935493 169.213224 \nL 146.043477 169.887844 \nL 147.393259 170.414449 \nL 149.038543 170.766841 \nL 151.04449 170.908721 \nL 153.489321 170.79002 \nL 156.465442 170.342041 \nL 160.079276 169.471209 \nL 164.448332 168.051605 \nL 169.692939 165.917263 \nL 172.677852 164.517854 \nL 175.918415 162.857066 \nL 179.419948 160.902054 \nL 183.181377 158.618658 \nL 187.192767 155.972974 \nL 191.432327 152.933759 \nL 195.862958 149.475872 \nL 200.428487 145.584941 \nL 205.049933 141.263327 \nL 209.622317 136.537189 \nL 214.012861 131.464124 \nL 218.061629 126.140288 \nL 221.585815 120.705299 \nL 224.388845 115.342605 \nL 226.274844 110.272917 \nL 227.068005 105.738806 \nL 226.634888 101.980363 \nL 224.905889 99.204412 \nL 221.891043 97.553055 \nL 217.68555 97.079044 \nL 212.462346 97.735422 \nL 206.452415 99.38312 \nL 199.917047 101.814981 \nL 193.118336 104.789687 \nL 186.294027 108.066667 \nL 173.306096 114.726226 \nL 152.561043 125.518568 \nL 139.193094 132.375145 \nL 134.623466 134.910673 \nL 131.045545 137.145869 \nL 128.186813 139.214568 \nL 125.818759 141.190469 \nL 122.787498 144.039843 \nL 118.998895 147.596201 \nL 116.982475 149.216958 \nL 114.782077 150.68562 \nL 112.338899 151.956985 \nL 109.607707 152.97612 \nL 106.55874 153.67592 \nL 104.911098 153.881198 \nL 103.182336 153.974859 \nL 101.375635 153.944315 \nL 99.496553 153.776115 \nL 97.553404 153.456146 \nL 95.557662 152.969927 \nL 93.524366 152.30305 \nL 91.472468 151.441779 \nL 89.425111 150.373837 \nL 87.409765 149.089367 \nL 85.458142 147.58208 \nL 83.605858 145.85054 \nL 81.891748 143.899492 \nL 80.356787 141.741168 \nL 79.04261 139.396369 \nL 77.989645 136.895175 \nL 77.234959 134.277092 \nL 76.809945 131.590468 \nL 76.738063 128.891059 \nL 77.0329 126.239776 \nL 77.696754 123.6997 \nL 78.719971 121.332622 \nL 80.081178 119.195465 \nL 81.748337 117.336962 \nL 83.68064 115.79502 \nL 85.830882 114.59498 \nL 88.148179 113.748995 \nL 90.580641 113.256458 \nL 93.077805 113.105351 \nL 95.592632 113.27424 \nL 98.082968 113.734668 \nL 100.512458 114.453567 \nL 102.850957 115.395552 \nL 105.074499 116.524873 \nL 107.164968 117.806972 \nL 109.109556 119.209594 \nL 110.900078 120.703508 \nL 112.532258 122.262875 \nL 114.00501 123.865356 \nL 115.319757 125.492024 \nL 116.479827 127.127123 \nL 117.489909 128.75776 \nL 119.082998 131.966344 \nL 120.148132 135.058794 \nL 120.734021 138.000525 \nL 120.883228 140.772711 \nL 120.628994 143.365611 \nL 119.993864 145.773474 \nL 118.989537 147.990603 \nL 117.617609 150.008034 \nL 115.871066 151.810535 \nL 114.85331 152.623959 \nL 113.736573 153.373533 \nL 112.518752 154.054184 \nL 111.197848 154.659828 \nL 109.772165 155.183264 \nL 108.240551 155.616051 \nL 106.602675 155.948418 \nL 104.85936 156.169188 \nL 103.012976 156.26573 \nL 101.06788 156.223979 \nL 99.030916 156.028523 \nL 96.911962 155.662815 \nL 94.724495 155.109511 \nL 92.486172 154.350995 \nL 90.219357 153.370124 \nL 87.95155 152.151219 \nL 85.715639 150.68132 \nL 83.549883 148.951698 \nL 81.497528 146.959575 \nL 79.605953 144.709936 \nL 77.925287 142.217316 \nL 76.506439 139.507306 \nL 75.398601 136.617509 \nL 74.646338 133.597704 \nL 74.286501 130.50894 \nL 74.345265 127.421455 \nL 74.835651 124.411376 \nL 75.755895 121.556512 \nL 77.088933 118.931521 \nL 78.803123 116.603165 \nL 80.854158 114.626056 \nL 83.187953 113.039597 \nL 85.74411 111.866322 \nL 88.459566 111.111835 \nL 91.272035 110.766142 \nL 94.12288 110.806087 \nL 96.959308 111.198451 \nL 99.735752 111.903301 \nL 102.414535 112.877148 \nL 104.965907 114.075704 \nL 107.367651 115.456089 \nL 109.604335 116.978366 \nL 111.66643 118.60658 \nL 113.549347 120.309231 \nL 115.252484 122.059409 \nL 116.778348 123.834626 \nL 118.13177 125.616479 \nL 119.319217 127.390224 \nL 120.348214 129.144285 \nL 121.963531 132.560066 \nL 123.043333 135.817297 \nL 123.648358 138.893412 \nL 123.829459 141.7805 \nL 123.625148 144.478577 \nL 123.060776 146.99081 \nL 122.148733 149.319994 \nL 120.889243 151.465724 \nL 119.271608 153.421823 \nL 117.27591 155.173594 \nL 114.875389 156.694654 \nL 113.513923 157.3563 \nL 112.039974 157.943105 \nL 110.450139 158.446656 \nL 108.741618 158.856974 \nL 106.912555 159.162363 \nL 104.962441 159.349266 \nL 102.892599 159.402179 \nL 100.706761 159.303614 \nL 98.411715 159.03415 \nL 96.018041 158.572654 \nL 93.540898 157.896664 \nL 91.000834 156.983045 \nL 88.424556 155.808946 \nL 85.845577 154.353123 \nL 83.304621 152.597671 \nL 80.849669 150.530144 \nL 78.535433 148.146017 \nL 76.422186 145.451313 \nL 74.573741 142.465186 \nL 73.054597 139.222047 \nL 71.926285 135.772863 \nL 71.243146 132.185126 \nL 71.047946 128.541168 \nL 71.367821 124.934625 \nL 72.211161 121.465157 \nL 73.565954 118.231923 \nL 75.399924 115.326532 \nL 77.662533 112.826432 \nL 80.288625 110.789725 \nL 83.20316 109.251956 \nL 86.326411 108.225335 \nL 89.578966 107.700207 \nL 92.885975 107.648328 \nL 96.180337 108.027275 \nL 99.404711 108.785272 \nL 102.512404 109.865815 \nL 105.467364 111.211622 \nL 108.243494 112.767735 \nL 110.823551 114.483645 \nL 113.197837 116.314586 \nL 115.362836 118.222071 \nL 117.319913 120.173904 \nL 119.074133 122.143825 \nL 120.633239 124.110945 \nL 122.006787 126.05904 \nL 123.205433 127.975863 \nL 125.12287 131.682545 \nL 126.474164 135.188372 \nL 127.340336 138.478225 \nL 127.78963 141.553172 \nL 127.875288 144.422861 \nL 127.635121 147.100595 \nL 127.092009 149.600107 \nL 126.254842 151.933364 \nL 125.119548 154.108852 \nL 123.670104 156.129967 \nL 121.879537 157.993115 \nL 119.711098 159.685252 \nL 117.119944 161.180496 \nL 115.650274 161.841574 \nL 114.055938 162.435498 \nL 112.330632 162.95312 \nL 110.468501 163.383362 \nL 108.464495 163.712949 \nL 106.314834 163.926153 \nL 104.017579 164.004549 \nL 101.573336 163.926816 \nL 98.986101 163.668639 \nL 96.264248 163.202753 \nL 93.421665 162.499208 \nL 90.478977 161.525974 \nL 87.464824 160.249958 \nL 84.417062 158.638576 \nL 81.383747 156.66198 \nL 78.423655 154.295977 \nL 75.606126 151.525647 \nL 73.009858 148.349469 \nL 70.720477 144.783648 \nL 68.826622 140.866032 \nL 67.414615 136.658922 \nL 66.561978 132.249908 \nL 66.330429 127.749937 \nL 66.75928 123.2882 \nL 67.860286 119.003878 \nL 69.61497 115.0356 \nL 71.975039 111.509952 \nL 74.866016 108.530925 \nL 78.193531 106.171867 \nL 81.851254 104.471299 \nL 85.729204 103.43286 \nL 89.7213 103.029049 \nL 93.731259 103.207585 \nL 97.676507 103.899151 \nL 101.490084 105.025168 \nL 105.12088 106.504662 \nL 108.532631 108.259595 \nL 111.702176 110.218606 \nL 114.617344 112.319147 \nL 117.274802 114.508337 \nL 119.678025 116.742902 \nL 121.835516 118.988483 \nL 123.759296 121.218595 \nL 125.463674 123.413469 \nL 126.964269 125.558876 \nL 129.418807 129.665796 \nL 131.249733 133.498895 \nL 132.572875 137.051697 \nL 133.487484 140.336191 \nL 134.074502 143.373297 \nL 134.397028 146.187282 \nL 134.501868 148.802659 \nL 134.421478 151.242593 \nL 134.175879 153.528147 \nL 133.774302 155.678005 \nL 133.216437 157.708451 \nL 132.493257 159.633383 \nL 131.587401 161.464287 \nL 130.47315 163.210009 \nL 129.116047 164.876204 \nL 127.472223 166.464301 \nL 125.487579 167.969696 \nL 123.097039 169.378871 \nL 120.224276 170.664922 \nL 116.782677 171.780829 \nL 114.819449 172.252463 \nL 112.678786 172.649716 \nL 110.349253 172.956104 \nL 107.820405 173.15137 \nL 105.083538 173.210878 \nL 102.132695 173.104991 \nL 98.965961 172.798499 \nL 95.587081 172.250198 \nL 92.00746 171.412747 \nL 88.2485 170.233011 \nL 84.344256 168.653136 \nL 80.344214 166.612667 \nL 76.315938 164.052075 \nL 72.347131 160.917976 \nL 68.546454 157.170203 \nL 65.042321 152.790632 \nL 61.97886 147.793041 \nL 59.508356 142.232745 \nL 57.779993 136.213948 \nL 56.925572 129.892355 \nL 57.043915 123.470681 \nL 58.186605 117.18576 \nL 60.348213 111.287744 \nL 63.463567 106.014422 \nL 67.413287 101.565339 \nL 72.036706 98.081036 \nL 77.149468 95.63161 \nL 82.56224 94.216216 \nL 88.097068 93.772312 \nL 93.599215 94.19146 \nL 98.943645 95.337609 \nL 104.036763 97.064325 \nL 108.814544 99.228662 \nL 113.238592 101.700729 \nL 117.291298 104.368988 \nL 120.970989 107.142164 \nL 124.287599 109.948721 \nL 127.259053 112.734855 \nL 129.908421 115.461799 \nL 132.261739 118.102988 \nL 134.34642 120.641373 \nL 137.819886 125.375555 \nL 140.540234 129.639719 \nL 142.697179 133.452219 \nL 145.946684 139.868346 \nL 147.934179 143.768141 \nL 149.222933 145.988138 \nL 150.570468 147.925218 \nL 152.042105 149.587112 \nL 153.698262 150.971777 \nL 155.597251 152.066598 \nL 157.797211 152.847317 \nL 159.028403 153.108781 \nL 160.356917 153.27662 \nL 161.790086 153.343872 \nL 163.335083 153.302567 \nL 164.998762 153.143704 \nL 166.787452 152.857245 \nL 168.706658 152.432154 \nL 170.760706 151.856484 \nL 172.952266 151.117544 \nL 175.281789 150.202178 \nL 177.746808 149.097161 \nL 180.341124 147.789799 \nL 183.053878 146.268694 \nL 185.868519 144.524812 \nL 188.761726 142.552771 \nL 191.702345 140.352425 \nL 194.650454 137.930686 \nL 197.556704 135.303487 \nL 200.362136 132.497741 \nL 202.998679 129.553042 \nL 205.390598 126.522747 \nL 207.457022 123.474082 \nL 209.115745 120.486799 \nL 210.288166 117.65008 \nL 210.905128 115.057573 \nL 210.91312 112.800699 \nL 210.28004 110.960928 \nL 208.999654 109.601943 \nL 207.093908 108.76305 \nL 204.612494 108.455035 \nL 201.629546 108.659333 \nL 198.237899 109.330767 \nL 194.541718 110.403393 \nL 190.648647 111.798264 \nL 186.662533 113.431808 \nL 182.677598 115.223374 \nL 175.018196 119.005366 \nL 168.127643 122.725075 \nL 162.230091 126.171489 \nL 157.373551 129.290945 \nL 153.496847 132.11681 \nL 150.484027 134.713667 \nL 148.200943 137.144693 \nL 146.516733 139.457804 \nL 145.314831 141.683097 \nL 144.497432 143.835585 \nL 143.986214 145.919489 \nL 143.721129 147.932248 \nL 143.658354 149.867569 \nL 143.768059 151.717449 \nL 144.032366 153.473235 \nL 144.443658 155.126021 \nL 145.003338 156.666533 \nL 145.721028 158.084618 \nL 146.614202 159.368474 \nL 147.708206 160.503563 \nL 149.03661 161.471229 \nL 150.641795 162.24692 \nL 152.575669 162.797914 \nL 154.900255 163.080431 \nL 157.687777 163.036 \nL 161.019566 162.587125 \nL 164.982637 161.632524 \nL 167.227912 160.926339 \nL 169.662106 160.042893 \nL 172.293186 158.961383 \nL 175.126627 157.659402 \nL 178.16429 156.113388 \nL 181.403049 154.299368 \nL 184.833099 152.194116 \nL 188.436002 149.776819 \nL 192.182475 147.031362 \nL 196.030045 143.949309 \nL 199.920779 140.533578 \nL 203.779385 136.802718 \nL 207.51214 132.795435 \nL 211.007221 128.574858 \nL 214.137068 124.231623 \nL 216.763382 119.884671 \nL 218.745154 115.678512 \nL 219.949599 111.775893 \nL 220.265246 108.34548 \nL 219.615512 105.545316 \nL 217.970546 103.504149 \nL 215.354659 102.304146 \nL 211.847347 101.968854 \nL 207.577012 102.459622 \nL 202.708205 103.681697 \nL 197.424818 105.498765 \nL 191.912455 107.752431 \nL 186.34307 110.282256 \nL 175.591971 115.613269 \nL 161.725013 122.946152 \nL 151.25417 128.753767 \nL 146.018129 131.892725 \nL 141.926164 134.63709 \nL 138.742212 137.132101 \nL 136.24734 139.480682 \nL 134.251211 141.745306 \nL 132.594059 143.957585 \nL 129.792702 148.256727 \nL 127.756905 151.350091 \nL 126.284887 153.328392 \nL 124.643811 155.222112 \nL 122.771751 157.012879 \nL 120.607791 158.677122 \nL 118.090713 160.182874 \nL 115.15919 161.485343 \nL 113.51934 162.041442 \nL 111.75415 162.521108 \nL 109.857495 162.912328 \nL 107.82433 163.200977 \nL 105.651138 163.37057 \nL 103.336512 163.40204 \nL 100.881852 163.273578 \nL 98.292206 162.960567 \nL 95.577248 162.435716 \nL 92.752374 161.669398 \nL 89.839884 160.630361 \nL 86.870155 159.286848 \nL 83.882723 157.608297 \nL 80.927081 155.567639 \nL 78.062967 153.144289 \nL 75.359932 150.327717 \nL 72.895858 147.121425 \nL 70.754228 143.546948 \nL 69.02003 139.647306 \nL 67.774384 135.489166 \nL 67.088206 131.162943 \nL 67.015647 126.78018 \nL 67.588111 122.467917 \nL 68.809932 118.360291 \nL 70.656516 114.588279 \nL 73.075467 111.268928 \nL 75.99062 108.495895 \nL 79.308389 106.332603 \nL 82.925401 104.80913 \nL 86.736264 103.922938 \nL 90.640411 103.642922 \nL 94.547362 103.915769 \nL 98.380067 104.673259 \nL 102.076441 105.839496 \nL 105.589394 107.337147 \nL 108.885761 109.092253 \nL 111.944612 111.037497 \nL 114.755246 113.114051 \nL 117.315163 115.27227 \nL 119.62818 117.471557 \nL 121.702767 119.679675 \nL 123.550637 121.871753 \nL 125.185608 124.029205 \nL 126.62269 126.138622 \nL 128.965091 130.179808 \nL 130.698874 133.956936 \nL 131.934128 137.463705 \nL 132.764709 140.711389 \nL 133.266588 143.719847 \nL 133.498253 146.512213 \nL 133.502118 149.111925 \nL 133.306301 151.541125 \nL 132.92634 153.819853 \nL 132.366643 155.965707 \nL 131.621542 157.993644 \nL 130.675932 159.91581 \nL 129.505484 161.741173 \nL 128.07651 163.474854 \nL 126.345555 165.1169 \nL 124.258887 166.660268 \nL 121.75218 168.087645 \nL 118.750867 169.366572 \nL 115.17204 170.442323 \nL 113.138973 170.878404 \nL 110.929322 171.227818 \nL 108.533404 171.472422 \nL 105.943031 171.590201 \nL 103.152372 171.554731 \nL 100.159071 171.334677 \nL 96.965627 170.893401 \nL 93.58111 170.188806 \nL 90.02317 169.173547 \nL 86.320328 167.795847 \nL 82.514419 166.001142 \nL 78.662972 163.734869 \nL 74.841202 160.946656 \nL 71.143073 157.596076 \nL 67.680831 153.659959 \nL 64.582304 149.140831 \nL 61.985297 144.075526 \nL 60.028829 138.542539 \nL 58.841434 132.66602 \nL 58.527688 126.614432 \nL 59.154869 120.592266 \nL 60.74237 114.824587 \nL 63.256299 109.53608 \nL 66.610877 104.927921 \nL 70.676795 101.156976 \nL 75.294884 98.321381 \nL 80.292414 96.455113 \nL 85.498885 95.531687 \nL 90.758862 95.475169 \nL 95.940477 96.175267 \nL 100.939457 97.503251 \nL 105.679393 99.326045 \nL 110.109383 101.517016 \nL 114.200248 103.963014 \nL 117.94024 106.567965 \nL 121.330888 109.253841 \nL 124.383348 111.959752 \nL 127.115372 114.640005 \nL 129.548927 117.261716 \nL 131.708371 119.802337 \nL 133.619105 122.247398 \nL 136.795715 126.821935 \nL 139.272669 130.965 \nL 141.223242 134.693542 \nL 143.480103 139.581233 \nL 146.382382 146.1328 \nL 147.4875 148.274926 \nL 148.659 150.169258 \nL 149.952896 151.822305 \nL 151.422585 153.232185 \nL 153.121495 154.387854 \nL 155.10512 155.267938 \nL 157.4323 155.839113 \nL 160.165444 156.054039 \nL 163.36916 155.849029 \nL 165.167396 155.564138 \nL 167.106397 155.141937 \nL 169.192518 154.569128 \nL 171.430756 153.83131 \nL 173.824164 152.913172 \nL 176.37313 151.798836 \nL 179.074497 150.472371 \nL 181.92052 148.918532 \nL 184.897685 147.123799 \nL 187.98538 145.07774 \nL 191.154534 142.774726 \nL 194.366271 140.216031 \nL 197.57078 137.412219 \nL 200.7066 134.385701 \nL 203.700584 131.173217 \nL 206.468877 127.827824 \nL 208.919209 124.419928 \nL 210.954737 121.036758 \nL 212.479508 117.779714 \nL 213.405357 114.759223 \nL 213.659687 112.087117 \nL 213.193236 109.867057 \nL 211.986616 108.18422 \nL 210.054451 107.095855 \nL 207.446087 106.624587 \nL 204.242457 106.755919 \nL 200.549471 107.440574 \nL 196.488892 108.601329 \nL 192.188267 110.14287 \nL 187.771389 111.96282 \nL 183.350576 113.961865 \nL 174.860358 118.159905 \nL 167.250532 122.230552 \nL 160.769181 125.93272 \nL 155.454705 129.221016 \nL 151.220627 132.153105 \nL 147.921578 134.81913 \nL 145.395576 137.302639 \nL 143.487511 139.66553 \nL 142.060279 141.946672 \nL 140.998561 144.16633 \nL 140.208599 146.332053 \nL 139.374977 149.478506 \nL 138.648405 153.461736 \nL 137.116643 162.997406 \nL 136.533935 165.248992 \nL 135.778713 167.374667 \nL 134.781771 169.392827 \nL 133.939354 170.688174 \nL 132.916035 171.949913 \nL 131.670384 173.182584 \nL 130.151751 174.388731 \nL 128.298353 175.567193 \nL 126.035258 176.710335 \nL 123.272526 177.799632 \nL 119.904082 178.798707 \nL 115.808479 179.642596 \nL 113.446885 179.974407 \nL 110.853717 180.221668 \nL 108.012897 180.35993 \nL 104.909997 180.358677 \nL 101.53355 180.180232 \nL 97.876831 179.778684 \nL 93.940181 179.098904 \nL 89.73397 178.075942 \nL 85.282238 176.635053 \nL 80.626946 174.692849 \nL 75.832653 172.160167 \nL 70.991135 168.947337 \nL 66.225149 164.972524 \nL 61.690146 160.173617 \nL 57.572369 154.523433 \nL 54.081639 148.04702 \nL 51.437551 140.838234 \nL 49.848912 133.071318 \nL 49.488204 125.002299 \nL 50.465277 116.955754 \nL 52.806138 109.295552 \nL 56.442958 102.382932 \nL 61.219115 96.53035 \nL 66.908804 91.961905 \nL 73.246652 88.789981 \nL 79.959955 87.012459 \nL 86.796573 86.528797 \nL 93.543952 87.168192 \nL 100.038119 88.721689 \nL 106.164141 90.97124 \nL 111.850856 93.711536 \nL 117.062828 96.763539 \nL 121.791706 99.980532 \nL 126.048381 103.248662 \nL 129.856543 106.484034 \nL 133.247725 109.628073 \nL 136.25772 112.642424 \nL 138.924062 115.504142 \nL 143.375062 120.730781 \nL 146.884904 125.293999 \nL 150.924987 130.995329 \nL 155.053773 136.774803 \nL 156.916603 138.994992 \nL 158.795745 140.811617 \nL 160.778601 142.239657 \nL 162.936783 143.28079 \nL 164.100282 143.653308 \nL 165.328412 143.92406 \nL 166.626422 144.089878 \nL 167.998669 144.146978 \nL 169.448516 144.091032 \nL 170.978183 143.917297 \nL 172.588559 143.620735 \nL 176.046881 142.638789 \nL 179.793962 141.107884 \nL 183.759843 139.004578 \nL 185.78904 137.73851 \nL 187.822538 136.334989 \nL 189.835368 134.802651 \nL 191.79846 133.154555 \nL 193.678832 131.408751 \nL 195.440086 129.588683 \nL 197.043207 127.72333 \nL 198.447768 125.846966 \nL 199.613475 123.998475 \nL 200.502056 122.22013 \nL 201.079391 120.555847 \nL 201.317711 119.048987 \nL 201.197692 117.73984 \nL 200.710205 116.663046 \nL 199.857476 115.845207 \nL 198.65353 115.303062 \nL 197.123762 115.042387 \nL 195.303685 115.057887 \nL 193.236949 115.333999 \nL 190.972852 115.846589 \nL 188.563634 116.565242 \nL 186.061786 117.455815 \nL 180.977617 119.612521 \nL 176.066969 122.056995 \nL 171.580857 124.58907 \nL 167.670534 127.081272 \nL 164.403305 129.468157 \nL 161.786146 131.725936 \nL 159.788801 133.852682 \nL 158.36238 135.853836 \nL 157.452653 137.733597 \nL 157.008611 139.490849 \nL 156.98745 141.11789 \nL 157.35701 142.600467 \nL 158.096554 143.918216 \nL 159.196422 145.04498 \nL 160.65692 145.948763 \nL 162.486521 146.591382 \nL 164.699308 146.927925 \nL 167.311328 146.906368 \nL 170.335446 146.467884 \nL 173.774041 145.548617 \nL 177.60896 144.084158 \nL 181.788374 142.018264 \nL 183.977995 140.747866 \nL 186.210948 139.317384 \nL 188.464115 137.729681 \nL 190.709397 135.992061 \nL 192.913533 134.117159 \nL 195.038172 132.123799 \nL 197.040319 130.037663 \nL 198.873212 127.89164 \nL 200.487689 125.725723 \nL 201.834091 123.586293 \nL 202.864654 121.524657 \nL 203.536288 119.594861 \nL 203.81352 117.850781 \nL 203.671344 116.342736 \nL 203.097634 115.113918 \nL 202.094781 114.197094 \nL 200.680311 113.612041 \nL 198.886282 113.364083 \nL 196.75753 113.444005 \nL 194.348892 113.829356 \nL 191.721794 114.486946 \nL 188.940555 115.37613 \nL 186.068852 116.45243 \nL 180.288038 118.989579 \nL 174.778733 121.782155 \nL 169.812925 124.603162 \nL 165.538361 127.322821 \nL 162.00456 129.88753 \nL 159.195063 132.290067 \nL 157.056067 134.544066 \nL 155.517896 136.6672 \nL 154.509288 138.672396 \nL 153.965978 140.564586 \nL 153.835265 142.340458 \nL 154.077951 143.989409 \nL 154.668687 145.494665 \nL 155.595423 146.833972 \nL 156.858353 147.97973 \nL 158.468515 148.898506 \nL 160.446026 149.550068 \nL 162.81771 149.886132 \nL 165.613713 149.849113 \nL 168.862437 149.371464 \nL 172.582952 148.376432 \nL 174.620882 147.659213 \nL 176.773843 146.781754 \nL 179.0359 145.734319 \nL 181.397629 144.508305 \nL 183.845387 143.096968 \nL 186.360554 141.496318 \nL 188.918802 139.706205 \nL 191.48944 137.73153 \nL 194.034958 135.583566 \nL 196.51086 133.281275 \nL 198.865921 130.852473 \nL 201.04304 128.334671 \nL 202.980784 125.775316 \nL 204.615717 123.231234 \nL 205.885509 120.767005 \nL 206.732703 118.452184 \nL 207.108895 116.357354 \nL 206.978906 114.549326 \nL 206.324408 113.085866 \nL 205.146521 112.010743 \nL 203.466867 111.349745 \nL 201.326814 111.108451 \nL 198.784922 111.272066 \nL 195.912897 111.807527 \nL 192.790562 112.667365 \nL 189.500541 113.79481 \nL 186.123289 115.129229 \nL 179.394648 118.186046 \nL 173.07859 121.438196 \nL 167.472642 124.623812 \nL 162.714637 127.615723 \nL 158.825318 130.382165 \nL 155.753309 132.94235 \nL 153.411176 135.332998 \nL 151.700157 137.588967 \nL 150.525235 139.734964 \nL 149.803276 141.783897 \nL 149.466676 143.738388 \nL 149.464347 145.593187 \nL 149.761249 147.337335 \nL 150.337299 148.955653 \nL 151.186086 150.42938 \nL 152.313665 151.736068 \nL 153.737495 152.84878 \nL 155.485477 153.734705 \nL 157.594903 154.353277 \nL 160.110978 154.653877 \nL 163.084385 154.573327 \nL 166.567045 154.033636 \nL 168.514217 153.562854 \nL 170.6049 152.940824 \nL 172.841968 152.153547 \nL 175.226115 151.186488 \nL 177.755097 150.02499 \nL 180.422848 148.654859 \nL 183.218466 147.063198 \nL 186.125076 145.239495 \nL 189.118637 143.177035 \nL 192.166738 140.874603 \nL 195.227538 138.338503 \nL 198.248976 135.584707 \nL 201.168495 132.641077 \nL 203.913512 129.549301 \nL 206.402933 126.366171 \nL 208.549902 123.163772 \nL 210.265931 120.028066 \nL 211.466385 117.055473 \nL 212.076963 114.347324 \nL 212.040585 112.002362 \nL 211.323801 110.108019 \nL 209.921678 108.731681 \nL 207.860205 107.913384 \nL 205.19558 107.661389 \nL 202.01025 107.951629 \nL 198.406254 108.731196 \nL 194.496873 109.925251 \nL 190.397877 111.446001 \nL 186.219622 113.202065 \nL 178.004921 117.084137 \nL 170.447491 121.026684 \nL 163.875421 124.719333 \nL 158.398089 128.053457 \nL 153.980943 131.044492 \nL 150.512073 133.760791 \nL 147.848954 136.278095 \nL 145.846703 138.657991 \nL 144.372967 140.94197 \nL 143.314394 143.153304 \nL 142.578193 145.301747 \nL 142.0911 147.388358 \nL 141.797149 149.40939 \nL 141.631456 152.305065 \nL 141.719992 155.019292 \nL 142.018538 157.534017 \nL 142.51786 159.834186 \nL 143.237329 161.905319 \nL 143.86078 163.150313 \nL 144.622155 164.278612 \nL 145.547759 165.280518 \nL 146.670742 166.142675 \nL 148.032159 166.846628 \nL 149.682236 167.366916 \nL 151.681721 167.668536 \nL 154.103111 167.703576 \nL 157.031337 167.406833 \nL 160.563162 166.690336 \nL 164.80389 165.437014 \nL 169.859113 163.494544 \nL 172.72133 162.206686 \nL 175.817788 160.672037 \nL 179.151967 158.861539 \nL 182.721394 156.745297 \nL 186.515469 154.294035 \nL 190.512898 151.481228 \nL 194.67876 148.286118 \nL 198.96135 144.697719 \nL 203.289113 140.719838 \nL 207.568071 136.37694 \nL 211.680463 131.720429 \nL 215.485388 126.834409 \nL 218.822459 121.839638 \nL 221.519313 116.89385 \nL 223.403425 112.18661 \nL 224.317945 107.927213 \nL 224.139997 104.325408 \nL 222.798676 101.566823 \nL 220.289064 99.787054 \nL 216.678507 99.050245 \nL 212.102767 99.33796 \nL 206.752024 100.55185 \nL 200.849395 102.530028 \nL 194.626586 105.072849 \nL 188.301594 107.971594 \nL 176.056616 114.099801 \nL 152.047674 126.709335 \nL 142.708739 131.762142 \nL 138.147792 134.465572 \nL 134.586763 136.865676 \nL 131.767484 139.093552 \nL 129.468953 141.226197 \nL 126.605269 144.319131 \nL 122.274489 149.192051 \nL 120.403712 150.992546 \nL 118.337064 152.666978 \nL 116.010585 154.178815 \nL 113.368383 155.482195 \nL 110.363596 156.518373 \nL 108.713884 156.913358 \nL 106.962015 157.211543 \nL 105.106839 157.400116 \nL 105.106839 157.400116 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pc4f50c0e8e\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZYAAAGOCAYAAAC0fSVgAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAADlMElEQVR4nOyddXgU59qH75m1uEKM4O5uAQoVSr396m6nbvTUvdRoS5W6t7S0padCvUiLF5cgwQIkEELck83qzPfHdDa2SXY3m2RD574uLlqyOzuZnXl/7+OCLMsyGhoaGhoafkJs7xPQ0NDQ0Di+0IRFQ0NDQ8OvaMKioaGhoeFXNGHR0NDQ0PArmrBoaGhoaPgVTVg0NDQ0NPyKJiwaGhoaGn5FExYNDQ0NDb+iCYuGhoaGhl/RhEVDQ0NDw69owqKhoaGh4Vc0YdHQ0NDQ8CuasGhoaGho+BVNWDQ0NDQ0/IomLBoaGhoafkUTFg0NDQ0Nv6IJi4aGhoaGX9GERUNDQ0PDr2jCoqGhoaHhVzRh0dDQ0NDwK5qwaGhoaGj4FU1YNDQ0NDT8iiYsGhoaGhp+RRMWDQ0NDQ2/ogmLhoaGhoZf0YRFQ0NDQ8OvaMKioaGhoeFXNGHR0NDQ0PArmrBoaGhoaPgVTVg0NDQ0NPyKJiwaGhoaGn5FExYNDQ0NDb+iCYuGhoaGhl/RhEVDQ0NDw69owqKhoaGh4Vc0YdFoF2RZbu9T0NDQaCX07X0CGv8uZFnGbrdjsVjQ6XTo9Xp0Oh06nQ5BENr79DQ0NPyAIGtbR402QpIk7HY7TqcTq9UKKEIjCAKCICDLMiEhIZrQaGh0cDRXmEarI8sy1dXVFBUV4XQ6EQQBURTR6/Uui8VisbBq1SqqqqqoqKigvLycqqoqrFYrDodDc51paHQgNGHRaFVU11dhYSHbt29HFJVbTrVGVGtFp9MBoNPpEEURWZaxWq2YzWZNaDQ0OhhajEWj1XA6ndjtdiRJcomF6vKCGjcYNBQaUERGlmXXH6vVitVqdVk8BoPBFacRRVFznWloBAiasGj4HVmWcTgcLstCFEWXsNR+jTshqP/vTQmNxWJxvUYVGtW1pgmNhkb7oQmLhl+RJAmHw4HT6QRwLfC1LRV3qCLQnIvLU6FRLRlNaDQ02h5NWDT8gizLrqyv2ple9V/TGL4u+o0JjSRJmtBoaLQTmrBotJjari/Arah4uoi3NCjflNBYrVYsFovLNacJjYZG66AJi0aLqF2bosY63OGpK8zf1Bc5VWicTqernsZd+rMmNBoavqMJi4ZPqIuzw+FwZX01tRDXFpamXtfaacSq0KgCWFtoHA5HnfTn2kLjzgrT0NBwjyYsGl6j1qbUD9A3RX2LpTFXWVvXpzQmNA6HA7vdrgmNhoYPaMKi4RWSJGGz2TyyUmrTXq4wb/FGaNQ6GtV1pqGhoaAJi4ZHqO4iNevL2xhEc8JS+3MCiaaEprKykoyMDAYNGlTHmtGERuPfjiYsGs3ii+urPv6qY2lvaguNIAgUFxcjCAJ2ux2bzQbQIBFAExqNfxuasGg0SW0rpaVxheNBWNyhpi9D3Xoem83mumaa0Gj8m9CERcMtntSmeIMnwhEocZaWULuhJtQVGrvd7npNbaHR6/XHxe+uoaGiCYtGAyRJwmw2s3XrVkaPHo1e3/LbpK0KJAONpoRGtWhEUWyQDKAJjUZHRhMWDRe1Fz2Hw0FJSYnfFrjaFktjx/Q0wB8o+HKungpNfdeZJjQaHQlNWDSAhgF6dfHz10LvqbD826gtNOq1VlO6G+sKoAmNRqCjCYtGnbYsaraTuthJkuSXz/A0ON+RLBbwrxjW7nEGmtBodFw0YfkX01RbFn9naf1bgvf+pCmhsVqtTaY3a9dSoz3RhOVfSnO1Ka0tLI3FUzqaxdKW1BYad9M1awuNNl1Toz3RhOVfSP2Rwe4WHTW9uC1dYR0teN/eaNM1NQIVTVj+RdSvTfGmI3FLOR5dYYEmgp4KjVpHYzQaNaHRaBU0YfmXoAboVQvEk4LH1rAgjrfgfSDTmNBUVVWxZcsWJk2apE3X1GgVNGE5zqldJ+FtR2JRFNvcYtGEpfVQhaa21aJN19RoDTRhOY5pafNIf8ZY1OM19/OOJiwdccGt3fdNm66p0RpownKc4q42xVv8vdCrx3M6nWRlZWEymYiOjsZgMPjtMzSap7Ei1aama9YWGtV1VrvPmSY0GrXRhOU4w9uRwU3RGsJSVVXFtm3bgJqeZOHh4URHRyNJkiuxQKP1aKr7QW206ZoavqIJy3GEP+am1EYURb+6wmRZJjU1lW7dutGjRw8EQcBms1FSUkJJSQl2u51du3YRGRlJdHQ00dHRREREaC3m/YynwlIfbbqmhqdownKc4Eltirf4y2JxOp3s2bMHSZIYMGAA3bt3d52ryWQiISGBhIQEysrK6NatG7IsU1JSwtGjR5EkiaioKJfQhIWFBcxuuKPFg1R8FZb6eCo02iyafx+asHRw1Ac5IyODqqoqBg4c6NeOxC1dPCsrK0lNTUWv12MwGIiOjm7y84xGI506daJLly6u1Nji4mJKSkrIyMhAFEWX0MTExBAcHBwwQtNRUEdL+5vGhEabrvnvQxOWDowak1BjKmrbdX/R0nTjY8eOkZaWRrdu3ejbty8rV670qkBSEATCwsIICwujW7duSJJERUUFxcXF5Ofnk56ejtFodFkzMTExmEwmn8/XFzqiqPnLYmmO5oRGs2iOXzRh6YDUrk1RFwm1AM6f+JpurLq+8vLyGD58OHFxca6ftaRAUhRFIiMjiYyMpGfPnjidTsrKyigpKSE7O5s9e/YQEhLiEhot48w97eXCcyc02nTN4xNNWDoYjY0M9negXT22t4tQbddXSkoKwcHBdY7nz8/T6XTExMQQExMDgN1up7S01OU227VrlyvjLDo6mqioqDpDtv6ttJXF0hy1xzNA09M162edaQQ2mrB0IGrXptTe+YH/M7jA+4W+vuurvkujOQuopQuGwWCgc+fOdO7cGQCr1erKONu3bx9Wq5WIiAiX2+zfmnEWKMJSH0+ERr2HQkJCNKEJYDRh6QB4UpvSGlXrnopVU66v+ufYHP78HWpnnAFUV1dTUlJCcXEx2dnZOJ3OOokA3mac/duzwlobd0JjsVhYt24dkyZNcsVjtFk0gYcmLAGOp7Up7WWxVFZWsn37dkRRbOD68vZ4rd3SJTg4mODgYJKSklwZZ6pFk5mZiSAIdeIzISEhx+Ui1VGEpT61Cy8NBoPLetGmawYemrAEMOpD40ltSnsIS3Our8aO11hldlv2Cqudcda1a1dXxllJSQkFBQUcOHDAlR6t/gkKCmqTc2ttOqqwAK5nQb3XGhvjrE3XbF80YQlAVNeXmvXlScFjW7rCPHV9tcU5+ovaGWc9evRokHG2d+9egoKCiImJcQkNaOnGbY0kSY1uSqCu0DQ3XVMTmtZDE5YAw9e2LG1lsVRVVZGamuqR68uT43nz87akfsaZw+GgtLSU4uJiV8ZZcHAwDoeDoqIiIiMj0es7xuPUWgWSbYFqsTRHbatYm67Z9nSMJ+FfQm0rxdtGfm0hLKrrq2vXrvTr18+nxamjTpDU6/V06tSJTp06AWCz2cjOzubw4cMNMs6io6OJjIwM2MW7o1ssvlxXTWjaFk1YAoDGalO8oTV2+7Xb3O/du5fc3FyvXF9NnWN7x1haitFoJCYmhmPHjpGSkuLKOCspKeHYsWM4HI46Pc7Cw8MDZoH6NwpLfTwVGm26pm9owtLO1B8Z7OtD0xoWiyiKWCwW1q9f75Prqz6eCEdHERaoe64dKeOsI13j+rR2nzOoKzSSJLmERpuu6TmasLQTLRkZ7I7WEJbq6mqKi4vp3r27z66v2tT+/dwtbsfLA+ou46yyspLi4mJXxpler3fVz7R1xplmsTRPU0KjjXFuHk1Y2gF/z00B/44RVl1fJSUldO7cmQEDBvjluMebxeIpoigSERFBRESEK+OsvLzcVaipZpypQhMVFYXRaGy189GExXvqu6ebGuOsZp39m6drasLSxkiSRG5uLtXV1XTp0sVvN11LOxGr1M76SkxM9GumU0fKCvMUX74/nU5XJ2VZzThT3WaVlZWEhYXV6XHmz++howtLIJx7Y52b1Q4Z6s//rdM1NWFpI2rfdKWlpVRUVJCcnOy346vC0pJFIycnh127drmyvtLT011WlT/wRFj+jbjLOFPjM+np6VgsFr9mnHV0YQnEbLvGhObfOl1TE5Y2oL7rS6fTtUqgHZQHz9sOvrWzvoYNG0Z8fDzQOjPvjydXWGudq9FoJD4+3vU9uMs4i4yMdMVnvM04+zfUsbQ3TQnNxo0b6devH+Hh4cet0GjC0sq4GxncWhlc4P1iV9v1NXHiREJCQlw/a2th6YiusLagfsaZ2Wx2TdU8fPgwQJ1mms1lnGkWS9tTW2iqq6td8RfVooHja7qmJiytRP3alNoB+tawWNRje3Pc+q6v+jexvwXweKpjaS8EQSA0NJTQ0FC6du2KLMuuqZqFhYUcPHjQlXGm/qmfIq4JS/uhusRV0fB0umZJSQlRUVEtSvdvSzRhaQXq16bUD9i1psXiaZv7vXv3kpOTU8f1VZ/WWOg14fAvgiDUyTiTJMnV4ywnJ4d9+/a5Ms7UPx3ZFdaRzx1q7v/67mp3rrPa0zUvuOACbrrpJq699tq2PmWf0ITFj3ham9Ja7Vc8STmu3+urtuvL3TH97Qpr7ucdTXgCbecvimKjGWeHDx8mLS0NvV5PcHAwhYWFfs84a206usVSO87aFGqgX6WqqoqwsLBWPTd/0nHuqADHm9qU1hAWaH5hzsnJIS0tjS5dutC/f3+P2ty3tStMw7+4yzhLS0vDbre7Ms7U8c3qVM1AHt98vAiLN7+DGlcLDQ1trdPyO5qw+IHaI4M9KXYURdGvaby1j9tYm3vV9TV06NBGXV/ujqcF7xunI52ritFoJCgoiMjISHr16oXFYnFN1UxLS3NlnKlCE0g9zsC3rMdAwtM1oj6VlZWEh4e30ln5H01YWoAnI4Pd0VoWi7vjeuP6qo+Wbnx8Ujt4HxQURGJiIomJia6dsZrafOTIEYA6zTRDQ0PbVWg6usXiqzBqrrB/CS1py9JWrjBvXV/NHc/f51f/2IG0Mz6eaSwrrHbGWXJysivjrKSkhKKiIo8yzlqbji4sakaYN6hNTTVhOc5xV5viDa2Rbgw1guV0Otm3bx/Hjh3zyvXV2PH8hSoskiRx8OBBqquriY2NJTo6GoPBAHQ8i6UjiqGnmVW1M866d+/uNuPMZDLVaabZmj3O4N8pLBaLBUmSNGE5Xqldm+LpyGB3tKYrzGw2s3fvXgRB8Nr1VZ/WsFjsdjubNm3CZrMRFRXlmsao+o9NJpNPD5+G5/hax+Iu46ysrIzi4mJXxlloaGidZpr+zjjr6OnGaozFG6qqqgA0YTkekSQJh8Phl47E/ujr5Q6n08nu3bvp2rWrT66v+vhbWCwWC4WFhSQkJDBixAiXv9lqtbrSYYuLi1m9enWdSvKwsLAOaRkEKv667/R6PbGxscTGxgJKxpma2nzgwAGqq6tdGWdqj7OWbhh8WZgDCV82TZWVlYii2GGKI0ETlmapXZviy8hgd7Skr5c7VNeXxWKhZ8+e9O/fv8XHBP9ZVrIsk5mZSUFBAdHR0QwdOhSn0+k6tslkIiEhgcrKShwOB127dqW4uJji4mIyMzNdO2V1Bn1bzi45Hmmtynuj0UhcXJxrwqiacVZSUsKePXuw2+2ujDO1x5m3ItHRLRZfnnk11bgjba40YWkCf4wMdof6YPjD5WM2m0lNTUUQBMLDw4mIiGjx+an4w2Kx2+3s2rWLsrIyEhISMBgMjV5D9d9rtyyRJMk1u0T16wcHB9fx67dXgV9HiweptFVLl+YyzmRZrpMI4Mni+W+MsVRWVmrCcrwgSRJVVVVs3bqVsWPH+tXn7037labIzc1l165drqyvTZs2tVpBoy9UVFSwbds2QkJCSElJISMjo8n6HXefJ4oiUVFRREVFAYpfX12c1ASA8PBwlzUTERHRoReetqA9BNFdxpk6VVPNOFPn1KgbBneun+NBWHyJsXSk4kjQhKUBtWtTnE4npaWlfv+MlgqLJEns3bu3QdZXWxc0NkV2dja7d++mZ8+e9O7d22XtNVV57wl6vZ7OnTvTuXNnQHG3qJ1+d+7ciSRJREVFuYSmPWfLByqB0IRStbDDw8NdGWf1LVM140z9YzKZAmbQl6/4YrGowtKRfm9NWGpRvzZFTYFtjSwlX1OOVdcX0CDry9/ZZr4cT5Ik9uzZQ25uLiNGjHAJALRO5X1QUBBJSUmulvKVlZUN6i5UkVEXJ3/SkR52lUAQlvrUt0zVTV1JSQlZWVns3r2b0NBQbDYb5eXlREREdKgeZyq+xFg0i6UDI0kSNputTm2KL63oPcWXRbu+66st29x7Qu14T0pKSgNXRmtPkKy9C+7WrRtOp9NVd1F7cVJFJjo6+l+Z1twRAuA6na5OxpndbqekpITdu3dz7NgxMjIy/J5x1hY4nU7XhtVT1BhLR+JfLyyq60vN+qqdRqy2sW7Lvl7uqO36GjJkCAkJCW5f1x4tWFQKCgrYsWMHCQkJDBw40O3C5YkrzJ/nr9PpXNZK7969XYtTcXEx+/fvx2q1NuiLFegLrj8IRIulOQwGA3FxcezZs4dhw4a5ZpTUzjhTxzcH8nfpqyusI9WwwL9cWDxpy9KaxYyeCFZTri93x2xrV5gsyxw4cIDMzEwGDx5MUlJSs69vjNZuQqkuTmo6bHV1tSutOSsrC8C1A46JiSE4OLjZSYwdkY4oLCrq5q9+xpk6vrm4uJijR4+6Ym3qdxkoMQpfgvdms1kTlo5CbSulqTRinU7XbhZLc64vX47pDc0t9Dabje3bt1NdXc2ECROa7b5a/3j1r3lbP/jBwcF06dKFLl261JnEmJ+fT3p6epu3K2krOqqwqDVl9Z8DQRAICQkhJCTE9V2qsbaSkhIyMjLqdA1QM87a4xq0JN24I/GvExZva1PawxXmqevLm2P6QlPCUlpaSmpqKpGRkaSkpHgUSA3k7sb1JzGqwePa7Upqzy2JjIxsl/P0Bx1ZWKD5WSb1Y21qxllJSQl5eXns37/fbcZZW+Br8F5to9NR+FcJS/2RwZ6YpK3dMLI+3ri+6tMWMRZZlsnKymLfvn306dOHHj16eLxIdaQJkvWDxzabzeU2U336ISEh2O12KioqOlTbmY4qLN48t7WpnXHWs2fPRjPOVJGJioryOsDuKb5YLGazma5du7bK+bQW/wph8XRksDva0hWmur6SkpIYMGCATw+QP8+1fk8zh8NBWloaxcXFjB49mpiYGK+O19pZYa2J0WgkISGBhIQEVxV5VlYWeXl5bN26tU7bmfZoJ+8NgSLe3qI+Ly29T9xlnKnW6cGDBzGbzQ2sU39lnPlaINmSZrLtwXEvLC2Zm6K+vjUsltqWkK+uL1kGux3MZqiuhuzsIMrL7VRVCVRXQ3W18ndEhEyPHjJdu4I3GzH1OqkL6bZt2zAYDKSkpPjkOghkV5g3qFXknTp1ory8nDFjxrhcLWpxX1BQkCsjrTV3wL7QEdKN3eGrxdIcBoOhTtGt2hRVtU5tNpvfsge1rLDjAG9HBrujtS0WT1xfsgwHDwr8/bfA2rUi69YJHDsmYDaDJNX+nfo1+Zk6nSIuPXrI9Owpu/5W/7tTJ6h9idTrlZub6+qa3LdvX58fquNtNLFKfVeLw+GoswOu3XZGrbloz4W9I7vC/NWvrynUpqiqdapmnJWUlDTIOIuOjvbKDeprjEUTlgDA15HB7mjN4H1ZWRnp6ekNXF8OB2zfrojI2rXK33l5TZ+/KMoEBUmYTBLh4XqCg2VCQsBkgpISyMwUsFoFMjOV/16xouExIiJkUlIkpk+XmT5dont35d/T0tIYNmyYzwPDVI43YWnsXPV6PZ06daJTp04AdebKHzt2DKfT6Wo70x7jfjuysLS1IPsz40xdlzRh6YC01PVVn9YI3kuSREVFBdXV1QwbNoyEhAR27hT46SeRtWtFNmwQqKqqe85Go8zo0TKTJklMmiTTr59EcDCEhCh/DAY4fDiTkpISRo4c6eYzITcXMjIE15/MzJq/jx0TKC8XWLRIx6JFynvi4yWGDx/OJZdEERTkn5hBRxIOf1G/5qKqqqpO80W17YzqamntDKWOKiyB4MJzl3GmpqmrGWdGo7FOvE39PtV1xBthUd3QmrC0Iy0dGewOf7vCVNeXzWajS5cuHDqUyC236Fi0qO7NFhkpM3GiREqKIiajR8s0N4ZEEIRGRVAUISkJkpJkJk1quLhbLLB3r8CyZSK//+5k/XoDeXlBLFnSgyVLFDfauHGKJTN9unI+3j7jzTXJ7GgWiy8IgkBYWBhhYWGuhUmdwpidnc2ePXvaZApjRxSWQOxsLIoikZGRREZGujLO1O9TzTgLCQlxzZ9R3+MNmsXSTtSvTfGXqKjH8pfFomZ9JSYmkZaWzBNPJLJli/Gfz5E56yyJk09WxGTwYP8v3E0RFATDh0tERh5i6NADdOs2kIMHk/nkk6Ps3duDAwd0rFsnsG6dyNNPK3Ga//zHydVXO/HGQ9ZRs8Iawx9D32qP+1XbzpSUlJCeno7FYiEiIsKVCOCPViWasLQetdsIQU3GmTohFWDr1q11Upubs2A0YWkHJEmiqKiIiooKEhMT/R7c84fFIkkS+/btIysrm+zscTz+eCzbtikPiMEgc9VVEvfe66B375ada0tE0G63s3PnTsrLyxk3bhyRkZH07w86XRpTpsSQnx/C0qUif/4psmyZSGamwOOP63n6aR3nnitxww1Opk6VaerSHy9ZYa1JY21n1JoLdTiWunj5UkGuCUvbUTvjrKqqik2bNtG1a1dKSkrYt29fnX510dHRDeYJqa5TTVjaiNq1KWVlZeTk5NClSxe/f44oithsNp/fbzab2bJlB3/91Znvvz+N9HRldxIcLHHeeQU880wUycm+HdvpVLLFtm8XOHhQoKQkmtJSkUWLdMgybv9ERkLfvjL9+8v06iVjMjUcyFW7dYkqBj16wI03Stx4o4TZDN99J/LRRzo2bhT57jsd332no18/iRtukLjySifuSlyOt+B9W9BY25mCggLS09MxGo11xgJ40namIwtLRzxvFafTiV6v9zjjzGq1EhcXhyzLmrC0BfUD9Hq9vlUyt6Blwfvc3DxefrmU77+fQE6OEsCLjJS59VYnZ555EJOpnOTkKI+OZTbDrl2KiOzYoVgOGRn1H7Lof/54jtEoM2iQzLBhIxk3LhKzWWbAAJl/NsxuF/uQELj6aomrr5bYvl3go490fP21yP79Ig88IPL44zouvFDippucjB/feG+w+nS0RaOtRbCxtjOqmyUtLY2wsDCXyLhzs7R00Fp70hEtltrUL450l3FWVVXlyiC87rrryMvLo3PnzixYsIDTTjuNvn37+vW7e/7553nkkUeYOXMmr7/+OqDcI0899RQffPABJSUljB8/nrfffpvBgwd7fNwOJyzualNaU1h8STeWJIktW9J58MHOrF07DIC4OJm77nJy001OIiIgI0OmrKxxwZJlWLNGYN48HZs2Cezb1zoPlM0mkJramdRU+Pzzmn8fPFji9NMlOneOZfToxs9z+HCZN990MHs2LFigWDHbt4t8+aWOL7/UcfLJErNmORg7VtZcYX7GXdsZdVHau3cvdru9QWHfv0lYJAnKyqCkRKC0VGjkb+jaVWbGDAfDh0texzW9oblU49qJHV27dmXdunX8+OOP3HvvvSxcuJD777+f+Ph4XnvtNS644IIWn8+mTZv44IMPGDZsWJ1/nzNnDq+++iqfffYZ/fr149lnn2X69Ons27ev2UazKh1GWJqqTWmtIkb12N5YLGazmV9+Sefxxwdz5EgoBoPM0087ueUWJ7W7fDQWDykpga++0vHuuyIHDrTf7iwtTSQtTQQm8uCDcP75Ts44Q2LGDIlaQyFdhIcrrrIbbpDYvFnggw90LFgg8tdfIn/9ZeSss5zcdZcRUdRcYa2F0WgkPj6e+Ph4l5tF7W92+PBhBEFwJQlYrdYO1625OWFxOGDrVpFly/QsW6Zj82YdDodnAjp7ton4eIkZMxzMmOFk2jQHHq6hHuNtcaTJZGLQoEEALFu2DIvFwt9//013tcCsBVRWVnLFFVfw4Ycf8uyzz7r+XZZlXn/9dR599FHOP/98AObNm0d8fDxfffUVN998s0fH7xDC0lxtSmsLi6fHzsvL4/33C3j99dGYzTq6dJH5+ms748Y1XCxrW0KyDJs3C3z4oY7PPw/MKXg//KDjhx+Ucxs+XOLccyWuuMJJ/XtcEGDsWJmxYx088gjMnq3nyy9Ffv1Vx6+/xjNtmswbbwj06dPwMzriLjpQz7m2myU5OdlVb1FYWAjA5s2bXW1n1MBxILWdcYc7YcnIEFi+XBGSlSv1lJU1/D5CQmSiomSio5U/6n9HRUF4uMzOnYoY5eWJfP65kc8/V1zEkyY5uf12G6ee6p+1xdeW+Wp8JTg4mFNOOcUv53L77bdz5plncsopp9QRloyMDHJzczn11FNd/2YymZg6dSpr1649foTFk9qU1hQWT1xhkiSxe/c+XnghjO++Gw3AlCkS8+fbG03FFUWRykr46CPFfZSa2nF8x9u3i2zfLvL003rOPFOxxk4+uWF6dM+e8OGHDu67T+DZZ3V8+62OFSsSGDFC5vLLRe6/307PnnXfo1ksrYNabxESEsLhw4dJSUlxJQJkZGSwa9euOhMY27vtjDuUYkEDv/yiCMmyZXoyMuqeY1SUzNSpDk46yckJJzhITlYSVJrDaoW//9axaJGexYuV4y5frmfVKh3ffFPtF3HxtQGlv2exLFiwgK1bt7Jp06YGP8vNzQVo0GUjPj7elS7tCQErLLVrU+qPDK6PKiytke3SnCvMbDazatVunnlmIFu2KKlQM2c6eO45J43VtckyfPVVJC+80I2qKv98BQaDzNSpNqKisjn99K706ycTGytTVSVQVOQgNTWTwkIJp7MX+/aZWLRIrNdnzDd++03Hb7/pEEWZ2bOdXHWVk39c/i7695f54gsHN95YxBNPwPr1ccyfr+ebb8K5/no7jz1mJTJSc4W1Ber1NRgMddrOWK1Wl9ssLS0Nh8PhajvT3hMY7Xb4/Xc9777bjQ0bwnA6a85Dr5cZN87JiSc6OekkB6NGSfjSiNhkgpNOcnLSSU5efNHKgQMCzz1n4ocfDFx9dTC//mpmzJiW1bP52jLfn9c+KyuLmTNnsmTJEoKaqLiu/3nerq0BKSySJOFwODxuy6J+Wb40eGuOpiyWvLw8Fi48zAsvjCc310hIiMz77zu46KLGb8CsLLjlFgN//RXb6Gua45ZbnDzwgIPExLpNIysqKti4cS8nn1yTdl1aWkJRUSpTp0YydOhQ9Hod4KhzPFmGjAzYuFHkjTd0bN3q/U5VkgQeekjPQw/pufJKxYoZM6auSAwZ4mTWrB2EhJzIE08IrFhh4P33jfz4o57nn7dy4omB6VY6nmgseG8ymdy2nVH7Yel0ujr1M20xGOvgQYHPPzcwf76BgoKae7JPH4mTTnJw0kkOJk9WkmH8iSAoKfkffmihrEzgr7/0XHRRMEuWmOnb1/eNTyBMj9yyZQv5+fmMHj26znmtWrWKt956i3379gGK5ZKYmOh6TX5+vle9AgNKWGrXpjQ3Mrg26pflyxfnybHrWyxqweNnnwm8++5kbDaB3r0l/vc/B4MHu7/xZBnmzxe58Ubv/dj9+0vMnu3kpJMkmhrzUbulS+2BXH379qV79+6NXktBgF69oFcviUsvVd7vdMK+fQL33lvM8uWetfFXmT9fx/z5OiZMkHjmGQdTptQsZrIs079/KQ89tI0ZM2J5880BHDsWxvXXBzNxYgw33thM35oAoiNaV56cc2NtZ0pKSlxtZ0JCQuqMBfBX2xmrFX77Tc9nnxlYsaLmmPHxEmeemc9ZZxVwyik9/PJZzWEwwBdfVHPmmSFs26bj/PND+PNPM/Hxvn3vvnY29qewnHzyyezcubPOv1133XUMGDCABx98kF69epGQkMDSpUtdPQdtNhsrV67kxRdf9PhzAkZYvB0ZXBvVb9kacZb68Ruz2cz27dv5/vsk3npLaVN/5plOPv7YQVSU+2Pk5cHtt+v59VfvbqrVq20e9eSyWCA7GzIyjPz5ZxeWLhVZv97M3r3dKS/v63qdXi/Tp49M797Knx49ZKKjFVfV4MF1fdE6HQwaJPP443v47DMbQUHxfPWVyH//67kwrl8vMn26kWnTJGbPdtCrl4DT6WTjxo307t2b8eMTueYaG3PmFPPOO1GsWxfO5s0prF6dxZ13mklIaPvOv8c73mzYVGq3nenVq1edwVj+ajuTni4wb56RL7/UU1SkvFcQZE45xcl119mZMcNBRkZ2m98LYWHw3XfVTJ8ewqFDIhdfHMyyZWaf3G1qgaQ31A7e+4Pw8HCGDBlS599CQ0OJjY11/fvdd9/N7Nmz6du3L3379mX27NmEhIRw+eWXe/w5ASEstWtTBEHw+qYUBKFNJj3m5eWxc+dOsrL68e67SlrT/fc7eOopZ6OL/w8/iFx/vR6LxbMHYuxYid9/tzeZ6lhcDIsXi7z6qo6dO2t/sAlQOxs3nMnucAjs3Suwd2/jx+7USeaOOxTraOjQmtqTyEi49VaJW2+1UloKb76p47nnPLt9VqwQSUkxMmmSkUsvDeL//m8AMTEx2O12wsJ0PP00XHONmbvu0rF6dTCfftqDP/80c9NNqYweXeZasGJiYjpcimyg4Y84ZP3BWGr1eHFxsat6vHZ335CQELefabHAzz/rmTfPwOrVNfdSUpLElVfaufpqO9261VgHkiS1S+Za584yCxeamTQplG3blGduxAjv4y1Op9Pr+1eNsbQlDzzwANXV1dx2222uAsklS5Z4XMMCIMjtaM/7c27KsmXLGD16NJGRDRfUlmCxWFixYgXdu3cnOzubsLDh/N//daGkRODyyxVLxd0pFxfDf/+r55tvPNvajBsn8b//2XE3PFKWlc7Db76p45NP2j4d+ZRTzDz9tJ6RIxv2AisqglNPNfxT8+IZV1zh5PHH7SQmKq1y1O+8tLSMd94p5NNPh5GXpxzvwgsrueuug9hshVRWVroGZgVC5lJeXh5Hjx6t468OdKqqqti8eTNTp05tleOr80rURICysjIMBkOdsQAVFUbef9/IBx8YKC5Wvj9RlDn1VCfXXWdj+nT3iS+7d+8mODiYnvVTCduIc88NZvlyPXPnWrjuOrvX79+5cyeRkZF069bN4/c88sgjOJ1O3nnnHa8/rz1pt6dSrU1R4yn+mJuiutH8idVqBaCoqIjBgydy661JlJQIjB0r8c477kUlLw+mTTN4JCqiKLNjh41VqxqKytGjcPPNeoKDTYwcaWwXUQH4888QUlKMBAebmDrVwLp1AmrYKTYWtmyxU1Zm5YknPLv+X36pY8CAIGbNMmI21/y7IMAJJ+SweXMVN91kQxBkvvsujKuuGorTOZHJkyfTtWtXrFYraWlprF69mh07dnD06FHMZnOHjHm0Na3dJ0ydV9K9e3dGjhzJlClTGDhwIAaDga1b87j++hIGDgzmhRdMFBeLdOki8cgjVtLSqvjf/6o5/fTGsynbu6XLyJGKR0RtIOstvsRY/B28byva5VuSZRmbzYbD4XC5vlp6s7eGKywvL8+V6z1y5GjuuCOSPXtEEhNlvvnG7nY+SnExnHWWgf37m7+0zz23hqoqK/361V0QCwvh2mv19OljYt68wCqY3LBB5MQTjYSEmDjxRAObNinfm8kEjzzixGy28vnnnu3mXnstiC5dwlm6VPkd1XsgMhJeftnKkiVmevSQOHxY5PTTg3nhhTBiYxMYNGgQkyZNYtSoUURGRlJQUMCGDRtYt24de/fupaCgoFU2GfXpiELW1g0odTodJSWxvPHGYK6+ehI//9wHi0VP//5VPPLINt5881dOPXU9dnsG5eXlTV7T9h70NXKksptKTfXtmfQ13dgbF1Sg0C4xFlVM/HmT+1NY1Kyvo0ePMnjwYHbs2MHs2UH89psOk0nmf/+zk5TU8H0VFYpbaNeupm/+hASZPXvKWbmyqM41qKhQ3Gfz53t280VGSpSVtd+Dtm6dyJQpis/4zTftXHedhF4PF1xgZ+DA7Sxb5uDBByc0eQxJErjgghDOPtvOrFmVdRaW8eMl1qyp4oEHgvjqKwMvv2xi2TI9H35YTd++uCb5de/e3dWQUZ3KWF1dXSegHBERoSUB0LbCsmuXyCuvGFm4UO+qmZo0ycE999g45RQJ6E11dZIrrfnIkSMADcYCqASKxZKWJmKx0Ozgvfr4UiBpNpsJCQnx7oMCgHYL3gfi3BRQApGpqalIkkRKSgqhoaG8914Rr7yi3EXvvKM0VKyP2Qynnda8qDz7rIP77nNit9fU3thsIvffr+fDD5sXlKlTJVauVD6jPUWlPnfeaeDOO+GGG6yce+5WwsIc3HzzSGbOtLJ0qcDZZzcdtPzlFwO//JLIbbcVMmkSrmSIiAh47z0LM2Y4mDkziK1bdUyZEsoLL1i55hq7yxVZvyGjxWJx+fmzsrIA6iQBNFUcdjzTFsKyYYPIyy+bWLy4Znk59VQH995rY+LE2s+o+7Yztcf8mkwmoqJikKTOHDpkICcnmFWr9GRliYSGygQHK21ZUlKcdOnSuhZk164yMTESxcVKH72mmrO6o6UtXToSAZEV5g/8ISz5+fns3LmThIQEBgwYgE6nIzVVYO5cJdPq7rsdXHFFw5vJZoNLLzWwZUvTC/3ixTamTlVufnXn8scfAhdd1HSx2YABEnv3Kq9XRSVQ+egjEx99NJkxYyS++EJp2TJ9uozZbOWll5w8+WTTu6933hnKqlVOPv7YwsCBNdf6//7PwbhxVdxySxArV+q5664glizR8c47Frdp3kFBQSQlJZGUlIQsy5SXl1NcXExOTg779u0jODiYmJgYYmNjPZrid7zQWsIiy/DXXzpefdXImjXKsiIIMv/3f4qFMmxY84uw2nZGECL5/fd+fPyxgQMHan8vPTw6lzlzLJx1ltLOxZ8IguIO++svkW3bdG0iLB1xyBe0Y/De37REWCRJYu/evWzfvp1BgwYxePBgdDod+flw4YUGrFYd06ZZee65hsd3OOCaa/QsWdL0pUxLs7pEBUAQRL76agAXXdT4QpuQoLxeFZWOxObNIgMHmhg+3EBRkWKB3HWXjW+++YUpU5p+IHft0jF+fCgffGCgtsu9SxeZn36q5rnnLBiNMr/+amDatFB27276+giC4JpJPnr0aCZPnkzv3r1dLs9Vq1axbds2Dh8+TEVFhVexk47mXvO3sMgy/P67jqlTQzj//BDWrNFjMMhcc42NLVuq+OwzS7Oikp8v8NZbBpKTw4iICCc5OZyHHw6qJyqe88ADQQwaFMazzxrxdxgsOVktPfD+GvoSvDebzR1SWNrVFeZPfJ3J4s71BYpgXHaZgaNHBbp0qeLtt8vR6eqORZQkJWtr4cKmb5acHCvRteZvVVfD5MlG0tL6u339sGESO3aI5OZ6d41OOkli2LBdnHNOMqNHh3rUfK+qCg4fFsjMVIaI/e9/Inv2+E/I9u0T6dLFxFVXOZkzR8Bkkli82EpBgUD37k27o+67L4jff9fz0UcWOnVSLT248047kyc7ueqqYA4dEjnppBDeesvChRd6FrCvXYdRv718ZmZmnbnlx1vtjL+ERZZhxQodTz9tYssW5f4PCZG59lo7d95pa9YtlZMj8PDDSi+u1mLOHBOvvmokO7uyyY4V3nDkiPJs9OjhWx2LNzGWjjqWGP7lrjB3ri+Vr74S+ftvkfBwmWee2UF4eN35wbIM99yj58svmxaV8nIrtdel7Gzo3bvxFX/0aKlZl5rK7bc7uOMOZ50OwcuXH2PQoHhEEQ4eVKydLVsEDh8WqKyEykqBkBCZ+HiIj5fp1k1myBCZKVMkzjgDHn5YuYaVlbBqlchzz1WzZUvLmzF98YWOL76I5Prre3HyyRAXB2Vl5Xz3nZ7//Kdxq23ZMj29eoXxww9mTjml5vsdOVJi5Uoz118fxPLleq6/PpjNm20884wVb2ro3LWXLysrc8Vmdu/e7ZrKGBsbW6d25t+aFbZhg8jTT5tcRY0hITK33GLjzjvtxMY2fk2Ki+GRR5REjNZkxowcFi9W+lw5HALx8eGkpZXStWvL3Z1qN+WePb377tV2Vf8WV1i7FUiqhZH+Yt++fTgcDo/GZ0qSxP79+8nKymLw4MEk1Uvxstlg6FAjhw8LzJ7tYOLENfTs2ZOEWoUmP/0kcsklTT8g1dXWOnUuK1YInHaa+93v0KFSvSp69/TsKfPBB3YmT64pVrTbYflygRdf1PP33y23NiIjZa66yslVV0mI4k6Cgkx06tSXr78Wuece/ywKf/5pZexYpUaoslKgR48w7PamF7zbbrPx1FPWOpaY0wnPPWfk5ZeVf5w0ycFnn1l87udUH5vN5rJmiouLcTgcrqwlp9NJUVFRhyqQLCws5NChQ4wbN87r9+7YIfLMMzVBeaNR5vrr7dx7r63R611VBW+9ZeS551q/aWVtLr7YytatAgcOKM9beLiVH39cR2xstCtL0NsMLZsN4uLCkCSBffsqSUz0/B5zOBysWrWKKVOmeNw9QJZlEhMT2bBhQ4M2LIFOuwmL2sbFXxw8eJCqqqoGYzbrU9v1NWLECLfFRx98IHLXXQYSEmR277axc+cGkpOT6dJF6RpcUaEIT1OuqqIiK7UPPW+eyM03+74oP/WUgzvvdKJmHlZXw/vv63joobYxOh98UPn82FiZjRuzmD3byOLFLZtk16+fk+XLqwgPV67jDz84ufbaqCbf06OHxM8/m+nRo+5t++uvem6+OYiKCoHERIkvv6xucZvz+tTu+ltUVERpaSkAiYmJrsryQB+WVVBQQGZmJmPHjvX4Pfv3izz3nJGFC5XfTaeTufJKOw88YKNrV/fLx9atImefHUJFRevEoE47zcG559pxOATuvNO9S3XMGCcZGYKr99jnnx+hT59sSkpKkCSpzliAxtrO1ObAAYFRo8IIDpbJza10WxzdGDabjTVr1jBt2jSPBc3pdBIdHc2hQ4farduArxw3wpKZmUlJSYmrI6c7mnJ9qVRXw+DBRo4dE3jtNTu33iqxefNm4uLiXK0YHnhAxxtvNL6gp6baGDCg5rJ+/73IFVf4tuBce62TV15xuEQqNVXg1FMNlJe3X9D41FOPMneuiR49ItiwQeDCCw0UFvp+Pl99Vc1ZZzmwWCwsX76BSy45q9n3/PSTmRNPrOv6TE8XuOKKYPbu1REcLPPBBxbOPbf1CiWzs7M5evQoMTExFBcXu4rZVLeZL80YW5v8/HyOHDnCmDFjmn1tZqbACy+YWLBAqUMRBJkLLnDwyCNW+vRpuGw4HPDMM0Zee63trJMTTlDSmGUZzjuvoUv1pZcs3H+/IjyxsRIZGVWNtp2p3d/M3ViApUt1XHBBCIMGOVm/3tzg501RXV3N+vXrOfHEEz1+T3l5OcnJyRQUFLjm5nQU/hUxluZcX7X54AMdx44JdO0qc/31kuvYaiPK1FShSVH56CN7HVHZsUNwKyo9e8pkZDS9GNcWqF27BMaMCYwg8pIlyQwcqPz3p5/aOXLERl4enH++wad2F5dfHkxMjMT69TZMJidlZeV88omR//638eD+ueeG8OyzFu68s6aWpW9fmb/+MnPddcEsWaLnqquCeeYZC3fdZfdqd+kpoihiMBjo21fpIG21WikqKqK4uJjs7GxkWW602K+98CTGkpMjMGeOkc8/N7jck2eeaeexx2wMHtzQCjx2TOCCC4JJS2v7lO1Vq/SsWqVn5kwbGRkV9OxZt0r9/vuDmDDBwfr1Stfk8nKIiBAaFNeqYwHUuFpoaGidsQA6nc4VX+nVq/UD96DEVwCtpYs3tMakR3fCUl1dzYYNGygqKiIlJaVJUamogJdeUh6ORx5xuHz56rAvpxP+85/GReWss5xceWXNTVdYCOPGNRSD4cOlJkXlxRetVFdbGTBAJjcXoqONASMq9bnuOgMhISYeeEDP4sV2srKszJjhfXZecbFIv36xbNiQgCzL/Oc/dtLSKpt8z2OPBXHNNUF1+o2Fh8OCBdXcdJPS4PLxx4OYOdOEH43jOtS+j00mE0lJSQwZMoTJkyczYsQIwsPDycvLY/369axfv579+/dTWFjYJi1n3NGUsBQXw+OPmxg+PJSPPzZitwuceKKDZcuq+PprSwNRWbxYR0REOAMGhLWLqNRm7lwjf/+tJyOjosHPzjmn5lp//33DTZ6aBdi7d2/Gjh3L5MmT6dmzJ06n05WOvnXrVlJTlfvR14wwX1KNjUZjmwxV8zeBZae3AHfCkp+fz9q1awkPD2fChAnNKv9bb+koLFSGdl11Vc3No1osH30kNtnF9+uva25gux2SkxveEF27ymzf3vgxjhyxMHOmknV29916evQwUV0d+LUS336rIy7OxHnnGfj8cwfHjlmbrVdxx/PPj+ecc0JxOJRrVVRUQZcujR/nxx8NjB4dSmZm7XG1Sq+xF1+0IAgyn31m5MILgykr8+lX8wlBEIiIiKBHjx6MGjWKKVOm0Lt3b2RZJj09ndWrV7N161YyMzO9rp1pCe6EpboaXn/dyIgRYcyda8RiERg/3slvv5n56ae6sSpZhrlzDUREhDdZg+VvevVyMnnyUbp3r/uM9+xZc2633hpEaanAnXfa6rxm3rwaMVm5svnF3Wg0EhcXx4ABA5g4cSLjx48nPj7eZbFI0n527txJdna2x81Pfa269yT2E4gcl64wb1xfKiUl8Prryhf/+ON1O6yKokhensDMmY3HSQ4dqpvmmpLi/rVZWe5vkrAwiYwMO+HhAmVlEB/f8XYpAFu2iMTHm5gyReL77+0UFMDgwd79LqtW6YmJCWf37kqSk2X27Kniww8N3Huve9dYdrbIsGFhLFtWVWcRvPVWOz16SFx/vdLu/NRTQ1i4sJqkJP8s4t6IgV6vrzPDxGw2u3z8hw8fRhTFOrUzrbVLrS0sDgd89ZWB2bONHDumLJqDBzt58knF6qy9ntntcOedrZ8q3BiHDuk4dCiZE06wc9llDj75xEB+vkhMjEx2tozNJlBRIXDTTcEsWFDNm2/WWPj79tUs6Dk53i3Sajq6ThfCrl1K2u8ppyQQHk6dtjO1xwK4S+D4N3U2huOoQFIVltpZXxMnTvQ4B/y113SUlQkMHixx8cV1d8g6nY6XXmpcnN59t25Tyqeeqj+Aq2m6dZPYudOOyQRr1wqcdFLruL0SEmTGj5fo3l0mP18Z+rVnj4DV6v8d0erVInFxJq691kllpZVffhG57DLvFqVBg8L45JNqLrzQwY032jnpJAcjRzb+fZ50UigLFpg544yaXe3ppztZtMjMxRcHs2eP7h9xadnscn9Qv3ZGbTmjjv5Va2fUuTP+ajmjiKHAr7/qeeopo2vR7dpV4tFHrVxyiaPOdMSqKrjssuA6Y4Lbk1WrDOzYIfPWWxauuy6ILVt0dOokuZJHNm3SNRlPy8nxzUmzdKmesjKBpCSJE08MQqfrQY8ePVzNT9Xi2rS0NMLDw10io353vsZYwsLCOqTF0q6DvtRZJ/6gvLycDRs2IIoi8fHxDBw40OOHMT8fBg40UlUl8L//2TnnnLrCMm9eDjff3KPR91ssNb/HunUCJ57ouTAMHlzNxo0iOh18/LHI7be3fEc4erSZCy80cuwY/PGHyIED3t3QUVFWOnWSOXDAf40av/rKzllnSZx7bj7Ll3f16r3Tpzv49ttqRBHKyyE5uek24q+8YuHGG+sGVY4cETjvvBAOHBDp1Enihx+qfZoCWJtjx46Rl5fXZCaiL9jt9jq1M3a7naioKGJjYz1OjW2Mn34q4sUXY9i1Syl6jY6Wuf9+KzfcUHcMRGGhwGmnBbN/f2D2UEtJcXDJJUpjUkGQiYuTXcPhvv/ezG23Bbn+vzbBwTJ5eU3H7txxzTVBLFxo4M47bTz3XOPrltVqdU3TVOueIiMj0ev1WCwWxowZ4/F39+OPP/Laa6+xdetWr8+3vWnXbYg69ralSJLE4cOHcTqdHru+avPyyzqqqgRGj5Y4++y6i40sw0svuRnr+A+rV9f4cx0O3IrKjBlOFi9u+IBOmFDKxx/noNP14r77dLz1lu9fxyOPOBg5UuaRR2xs2RLKli0+H4rSUhP/lGi4MBjkZgsYm+LyyxXB/Pzz3TzzTASTJ3s+6XPpUj1RUeEcO1ZBRASUlFQwaFBoo7vPe+8NIitLYNYsm6tLcrduMosXm7nggmBSU3WceWYICxZUM2WK/8dZtxSDwUB8fDzx8fHIsozZbKaoqMg1EkCdyKj+8aR2ZvdukaeeMvHHHz0AZYG9/XYbM2faqD10NTtbYOLEUEpLA3uXvHatntNPd9Cvn5P9+3V11hGlQaST339veH/ExHi/3pSXwx9/KM/mRRc1nQViMplISEggISHB9d0VFxdz7NgxzGYza9asqZMp2FSX7Y7a2RiOgxhLdXU127dvd9XEJCYmevX+qiolxRhg1qyGEyE3bhQ4cKBxf3ftFvqfftrwRj7tNCeLFjUUld69Jd544wCyHMxTT/kuKp98Ymf5cpHZs9X3t44PvLaoBAXJWCy+LTxXXz2D++83U15u4cordfz8s+fnm5QUTlpaJV27yuzbV8W995r48EP31uHrr5s4elTk/fctrthX584yv/5q5tJLg1mzRs/55wfz2WcWzjzT9wyt1nZTCIJAaGgooaGhdOvWzZUaq8Zm0tLSGsydqe1yycoSmD3bxNdfK7UoOp3M2Wfn8eKLYXUqxw8fFhg9OhSbLbAFpTZvvGHk9NMd7N+vIz+/5nfetk1s9P4cOtR7K/XXX/VYLAJ9+zoZPtzz99f+7pxOJ5WVlSQnJzfosq0KTVRUVJ1NQlVVVYeNsXTorDA16yssLMxVSextv7Dly5WbsHt3mVNOabib+fzzxl0B69fXWCvV1cpMkvq4ExWAdevs6HQiCxdG8Pzz3ovKokU2rrzSyfXXG/jii7Z1V/gqKiovvRRCREQQc+daWbKkyqv3Dh4cxt9/K7/vK69Y+fTT6kZf+913Bi6/PBiLpebfIiLghx+qOessO1arwJVXBvHddx1nf6Wmxvbp04dx48YxadIkunTpQnV1NTt37nSNa9616xgPPSQyalQoX35pQJIEzj3XzsKF6Tz4YKZLVA4fFoiMDGPo0LAOJSoABQUi3bo1fGZzckRKStz/LnXnwXjGt98qz/VFF7kfRe4JavA+KiqKXr16MXr0aFemoCAIHDx4kDVr1rB582Z2797N4sWLKS8v95vF8u677zJs2DAiIiKIiIhg4sSJ/PHHH66fy7LMrFmzSEpKIjg4mGnTppGWlubz53VIV5gkSaSnp3PkyBGX60stYHQ4HOgbG5rthj/+ULT19NOlBjeN2Qwff9z4oj1iRM25P/OM54v7unU2IiJg69ZwHn/cu3jDaac5GTdObrTnWEeiZ88wPvrITG5uBb16hWE2e/bUnn56CG+8YeHaa+1ccIGDbt2qOPlk9zu7xYsVy+S776pd7XCCguDzzy3ccYeSFXXDDUE4HBYuvdQ7yyUQmlCaTCYSExNJTExElmUKCqp4802Bjz7qRFWV8hyMGlXBo4+Wc+KJIRw9asVsFsjKEhg5smNZKJ6SlCTx66/uLeFp07z7jvPzBVasUJ7tCy/0vRjKXbpx/UxBdTjdpk2buPPOO7FYLHTu3JnXX3+d6dOnM2jQIJ8t5OTkZF544QX69OkDwLx58zj33HPZtm0bgwcPZs6cObz66qt89tln9OvXj2effZbp06ezb98+n0YjdziLpbq6mo0bN1JQUMDEiRNd8RRRFBEEwSuLRZZh0aIaYanPzz83fnlqWyulpfDqq56J2QMPKLGQggK48ca+Hp8rwG+/2Vi3TuTppzvODrs5brghhGnTQsjKquTmmz1P5rjrriCefloR17FjJbZsaTwgu2aNntNPD6G8vObf9Hp45x0L11xjQ5IEbr45iC+/7LjX1eGAzz83MmVKPHPnJlBVpWfwYAeffJLL++/vJzx8N6tXr2b79iJOOmk0gwd3PAvFHar1WpumWvZ7MnCsNgsX6nE6BUaNcrptY+MpntSxqMPpzj33XDIyMrjkkkvo2rUrixYtYuzYsXTv3h2bzdbkMRrj7LPP5owzzqBfv37069eP5557jrCwMNavX48sy7z++us8+uijnH/++QwZMoR58+ZhNpv56quvfPq8DvUkqb2+Gsv68rZ1/q5dAtnZAsHBMiec0PCG++gjz6wVb9Jon3rKidUKXbt6V6fw1182Tj6541sp7ti7V0dsbDgHDlSSmLiFWbNSPHrfyy+byMoS+eADC337yuzbV0n//u5dB9u26TjllBAWLTIT889YHVGEuXOt6PXw8cdGbrstCKfTytVXt1KZfisgy7hSh9UMrm7dJB57zMrFFzsQxVCgHwUFAhMnBpOfH5hZXr6Snu4+86sxvM3arnGDteyecDqdXo3DVte2yZMn8+KLL2K1Wtm5c6dfZgM5nU6+/fZbqqqqmDhxIhkZGeTm5nLqqae6XmMymZg6dSpr167l5ptv9voz2tVi8dSsUyf9bd++nYEDBzJkyBC36u+tsKhusGnTpAaDgI4cgTVr3F+etWtrdg05OUqcpjZdurjfPefkKG30777bOz1/8UXHcSsqtenTJwy9Xmb79kKP3/PNNwZOOy0YSYLERJkjRxq29FDZu1fHjBkhdTLeRBFefdXKTTfZkGWBO+4I4rPPPN8otGeNwd9/K2J5xRVKWnBMjMTzz1vYsqWKSy91IIpQVgbjxoXQu3fYcScqAO683rm57p/b88/3ThwyMgQ2btS5mm+2hJbOYjGZTB41Dm2KnTt3EhYWhslk4pZbbmHhwoUMGjSI3NxcAOLj4+u8Pj4+3vUzbwl4i0XN+nI4HM0WPPoqLO7cYPPnN34TjBpVsyNy1wo/O7vhOT75pIPoaDh6FD791PMb7KWXHNx/f8B/TX7jsccmUVVVQV5eBfHxnvl2163TM2RIKLt2VREVBUePVjRa67Jvn47TTw9h8WIzEf/MLxMEeOkl6z/uMSMzZ5owmWQuu6x9+nk1x+7dIrNmmVi0qGbQ1u2327jrrprUYbMZ/u//glm37vi+d9wJizovpj4PPuidG+mtt5TN3LRpTteYcF/xpUDSbDb7NSusf//+pKamUlpayvfff88111zDypUrXT+vv0lqyVC4gI6xFBQUuLK+PKmi92Y8cVERbNigXLTTTqsrLJLUeDbYNdfUHL+ykgaz7k891f2u6L//Vd7Xp4/nLrB58+z/KlFRef75cK64IpiSkgqGDfPs+zx6VGTgwFAkScn8ys5u3HJJS9Nx1lkhVNYyLAUBnn++xnK59dYgFi4MrGuflSVwyy1BTJwYwqJFenQ6mf/8x0ZqahWPP66Iis0Gl1wSTEJC+HEvKoDbcQ2NZYQNGOB5fCUrS3D1GLvvPt/iGrXxtVeYP+tYjEYjffr0YcyYMTz//PMMHz6cuXPnugYY1rdO8vPzG1gxnhKQrjDV9ZWamsqAAQMadX3VxxuLZelSEUlSWrj8M2bFxZo1Qp2mhrV5+umaXawa+K/NkiUNLZjHH3cQFNR0MkB9Fi60c801gT00qjX58089XbuGsHRpCddc49mDnZMjMmKEIi7h4U2LS2qqjvPPD67TGVkQYM4cqyug/5//BPH77+3vPioqgkcfNTFqVChffWVAlgX+7//sbNxYxWuvWUlIkHE64eabg+jUKdxVzPdvoH4h55Qp7q3MU0/1LlX45ZeN2GwCJ5zg8EsRrS/CUlVV5VNGlqfIsozVanVNx126dKnrZzabjZUrV5KS4lm8sz4BZ7HUz/pSpzZ6gtre3hOacoM1VReiCrgsyzz4YF3zOCLCvbn83/86kWW4+GLPhGLBAjv/93//XlFRqazUER/fiUsuWcOttx7z6D2ZmSITJoR4JC7r1+u58srgOi31RRFef93KxRcr0wmvvjqY5cvd3w+tnW5sNsMrrxgZPjyMN980YrUqC92yZVXMm6ckLMgyPPigiejocL7+Wrtn1qxx/129+KLF7b+7IzNT4IsvlGv5yCMtt1bAtxiL2WwmJMQ/HaQfeeQRVq9eTWZmJjt37uTRRx9lxYoVXHHFFQiCwN13383s2bNZuHAhu3bt4tprryUkJITLL7/cp88LqK1NQUEBO3bs8LrXl4qnrjCnU7FYoKEbDGp+Vp+zzlJ2QzabjU2bdpCdPanOz91NdbzhBmWc8CefeKbht9/u4NJLtQWiNmeccRIrVmzEZivn448HNPv6vXuVZpNLl5oJD4cjRyro1s39zu/PP/XcdlsQ779vcbV/0engvfcs2GxKW/4rrgjmt9/MjBzp31HHjeFwwPz5StdhNRA9dKiTp56ycvLJStdhWYY5c9p+lnygI8vuzZLevT3fBLz0khGHQ5lFk5Lin5Y/3los6hhsf1kseXl5XHXVVeTk5BAZGcmwYcNYtGgR06dPB+CBBx6gurqa2267jZKSEsaPH8+SJUt8/vx2L5CEugWPgwYN8spKqY2nrrCNGwWKiwWiomQmTKh7w+Xn0+gs+5kzrZSUVLB9+3Z27PBsBvXzzytidNttnolFdLRHL2sxwcEycXEQFydjMCidA8xmyMsTArJP1LRp48jNLadnz1Ieeyyq2ddv3Kjj1luDeO89C1FRcOBAJX36uPdXf/ONgU6dZGbPtrrcJXo9fPihhdJSgRUr9Fx4YTBLl5rp1av1rBRZhl9+UVKH09OVRah7dyV1+KKLHC7h++gjA/fc478GoccLer2Mw9Hw3p0/v/HuDPU5eFBwjQZ45BH/NcltSXdjf/Dxxx83+XNBEJg1axazZs3yy+e1u8VisVhITU31KOurOTwVFtUNNn261CCrZMeOxhfVuLhMNm/OoG/fvlx5Zd3iRnc39cSJEuHhsG2bZwv133/bmDSpddKKe/WSOfFECZ0OrFZl/szRowKHDwtUVSkLqV4PnTrJ9OghY7UqSQwWi0RuLlit7X6rkJAQQX5+BWFhFu6+u/mF9auvDPTpI3HffTbi4mR27Khk2DD399fbbxuJi5P5739rXB8mk7IonXlmCNu36zjvvBD+/NNMXFyNuPgr3XjNGh1PPGFi82ZFUGJjJR54wMb119tdk0y//17Pdde1/3jjQMWdqACcfbbn2X1z5phwOgWmT3cwfrz/LFRfJ0hqTSh9oKSkhA0bNvjs+qqPp8Kyc6dyA7orimxqjkp29hHGjBlDeHh0g2wUdzf1Cy8oN7Qnrq1u3WS/i4ooypx/vsSAATJ79gh8+WXjzflUiorq/1wkNNROp04yDocybtnpbD+LJi4unIKCCsrLBZ54onk30NNPm4iKKuO664z06KFj7doqUlLcp3A++aSJLl0kLr64ZiGKiIDvvqtm+vQQMjNFLrxQcYv5K6a6Y4fIM8+YXCmyoaE1qcNqOvSff+o4//y2m9Z4PHHnnTaPg/bp6QLffKN8D/60ViRJQpZlr9Y3dbZUR21C2a7CEhoayqBBg7zuSNwYOp3Ooxkvx44pd1pXN226tm93fxfefnsqw4YNIzo6mhUrPLtTx4xRsnUOH27+9U8+6eA///FfbGXyZIlzz5WYP1/ku+9qbmhRVFxfDofnAlFVZaDqn16RwcHyP92NabeRyZ07h1NaWkFOjsC77zYvxvfcE4fNtoaUFJmYmBjmz0/kyitj3L72hhuCSU421/Gtx8fL/PCDmVNPDSE1VceVVwbz7beeu1fckZYm8sILRn76SfnO9XqZa6+18+CDNuLjFYto40aRU04J/IVFEORGYxvtzWOPeS4QL7xgQpIEzjjDzujR/rNW1D6G3ghL5T+58K2ZFdaatGtWmNpAz194arGowuJuRO2yZe4vyaRJxa4b4913694g7rLBunaV0engf//z7BLfdZd/NN5kkrnxxnSSk2Xuv1/P9u0ier1MTIxMfLySRWS1Cj5bHdXVAiUlAlYrGI0yRmP7NGLs0yeUF16wct55nlVTP/TQZKzWeIqLi4mI+Jvrrtvf6GtPOy2E9PS616dPH5nvvqsmNFRm+XI9t9wShNPp/e++d6/ItdcGMXFiKD/9ZEAQZC68UEkdfvVVK/HxMrt3i0REhHcIUQEYNEhqccuT1uDyy+0NOmo0xp49oqvL9cMP+ycTTEVdk7yJsVT9s5PrqK6wgEs3bgmeCIvVCgUF7oXFalW6mbqjUyena+fx0091hSUqquHrH31UcafcdFPzgvHbbzaqqlq+44uPl3n22TIWLuzKggVKK4qePWWio6G4WCAvT/DbzlKSBGw2AYcDdLq2F5fCQpErrwxi3jwLffp4trucPr0fffqMYMqUKTzxhJHx48sbfe1ZZ4VQXFz330aNkpg/vxq9Xua77wy89JLnxWPp6UpdzPjxIfzwg2KlnH++nQ0bzHzyiYU+fWQOHxaIiAhnwoSOISgqaWk6jhwRueKKwBKXl1/2PMX4mWeMyLLAOefYvZq54glOpxNBELwSFrPZjMlk8qpTeyDxrxMWtbjUaJSJja37s717G190mzr2kSMN33fWWRIWCx5NXXz77ZYX4XXpIjNrloOnnoqgsDCIxESZpCSl35EqpK2BJCnWjyDIbS4wv/xi4I03DGzY4PlMl6SkcARBR2xsLEuWNH5dcnJErrhCh8VSd7E8+WQn77yjLFiffx7LDz80Pl0UlCyjm28OYuzYUL791uBavNaureKzzywMGCCRlyeQlKTMROloREfLhITIbNigIzq6/ccIqDz1lBVPN/u//abn118N6HSy3+pWauNr1X1oaGiHnHcPAVp57yueCIvqBktMpEFQb+3axhcotfiy/i62MTp1qkkSaIr/+7/0Fld3h4XJPPqog7vv1lNZKRITY0GSlDGzbYUs++5eawmPPx7Exo06Dh9uvBCyPrfeqmSUCQLk5zf+vr//DuGWW4rYsmULmZmZlJeXI8syl17q4MknFd/93Lm9WLas4fd38KDA7bebGDMmlK+/Nrh896tXVzF/voUhQyRKSmDQoFD69g2jsjLwFpCUFAcXXWTnhhtsXH21jSlTHA1cnyUlAiEhyr/t3x84+9SZMz0TiPJyuPdek+s9gwb5v1bJl+JIVVg6Kh3TzmoEb4SlthtMlmUOHTrEihVBQMNCkvPOU3YckiRx6FDzC8CUKcrN6UkLl5gYz831xnj+eQfPPKPHahXo1ctBbq6O4uL2W6hEUUaS2u7zTz89hEOHKtm6tZJRo5rfpn79tYGzz3Zw1llKq52m2u3/8ENfpkwJZdy4TA4fPowoisTGxnL55TFs3dqJX36J5pprgvnrLzP9+kmkpYm8+qqR77/Xu67Bqac6eOQRK6NGKfdFZSXMmBHCzp3t3y6mNhdcYOekkxxMnuykRw/ZbTZVTo7AFVcEu9KiQXFLgpLhFgg89tgGtm41ExMTQ2xsLOHh4Y26oWbNMnHsmEivXpLXTSo9pSWpxh3VYml3YfF1iqQ7fBEWu93Ojh07qKyspKhomtv3nHSS5LJY9uxp/ou+9lrlHN58s/mbafNm35q8qVx2mZOvvtKRkyPQubNMWZmI2dy+D7i6oLZltlCvXmGUlFTw6afVHtV6XH55MDt2VNKjh0xioswff5g5/XT3Kb3//W8S69ZFMmWKg/LycoqKisjKOsLVV+/l4MFJ7N4dw5gxoUyY4GD9+ppHavp0Bw8+aGXcOEVQLBa48MJgVq1q98fOxdln27n2WjtTpzrxZNRHYqLM889bmD694W66sXb1bc1dd/WiuLiY4uJijh49CuCaKx8TE0PwPxH9DRtEPv5YiXfNnWvxONDvLb4WR/qrnUt7EDh3uB/wRFhycpS/k5JkysvL2bZtG2FhYaSkpJCR4T7dt08f2WWxqMWVTdGvnyJazdWMRETIbN8e1+zxGiMyUmboUJmvv9YREiITHAxHjgTGww2Ke0ynk9vMRXbGGcEsXlzNTz/Z+fHH5lO3hw0Lo7CwAqMRJk1y8p//2Pj4Y/er67nnBrNxYxUxMVFERUXRu3dvDh3K4Pzzj7F7t5K6rIrKaadVcP/9DsaOVf7fbofrrgvi558Dp1XP888ro5hjY73f1DU1obG92bmz0jWJMSkpCVmWqaiooKioiNzcXPbv309wcDBhYbHcdtsQZFngiisUYW0tAqGzcVsTOKuQH9DpdDgcTVfZqnGH0NBSNmzYQHJyMqNGjcJgMNBYCUyXLjWi9cMPzd8gXbsqab3N8cYbLZv3cfPNTubOVc5HGXIVeGaz0ylgMLR8IfIk82vdOj0//qjn0089dy9ecUXNNvXVVxuvecjPF/nPf4JxOpWOBH/8oePqq/vw7LND6rxuxIgq7r9/MxUVq1i3biPXXmslNjY8IERl1Cgnr766jfT0g9x+u90nUQE4dCgwl41zz7XTvXvd30kQBCIiIujZsyejR49mypQp9O7dm3nz4klPNxIZaeXiizeSmZlJRUVFqzQW9bWzsRZjaQGt4QprakDNsX+a5DqdWYwcOZJOnTq5ftZYYD4pSebwYdGVbtwccXHKBMrmqD0PxFtMJkW88vIEYmNll4svELHbBUJD5RalVB84IBIZKVNW1vQxrr46mEOHKjl4sJLevZvf8S1erOePP3ScfrrS3DErq4KuXd0Xpf31l55+/UKJipJdvbyMRifXXutk8GCJ//7XRGpqKOvXTyQnR+attwKj/crUqQ6eekqJ8WzaVIIoRrboeL//3u7Lhlvef7/5DYVer6ekJJ5PP1XcTC+8YKFv3xiKi4tdMTTVZRYTE4PJ1PImn752NtaEJUBQv7zGvkiz2UxGhgkIYerUvnTqVHcX2VjAOTzcu1kvoth0axiVlSt93/mdf77Ejz8q7w8JcdeKJbCoqhIID5epqPD9PJsTFZVevcIoL69g3rxqrrmm+cX9kkuU4H+nTjKRkbBsWRUnneT+oS4oECkoUNyYF11UyHnnZTJ1qtJx2WyGhx8O4tFHA6NB5LRpDubMsdYZcNWSqYCgZFF9+WX7W1/1WbLEjCchCUmCu+4yYbMp/cAuv1xEEJJJTk5GkiTKy8tdsZk9e/YQFhbmEpnIyEif2k75EmPp6K6w41JY3Jme+fn5bN++g8LC0wDo2dO7h0MURSwWz11XTdXEqKxf77uwdO+uxFaMRtnjFOj2proawsMdVFT4ftt5YrUAvP66kbvvtvH22042bmx+MRg1KpQjRxQTcswYiVtvtTXZLmbVqir0+nzKyx3IMnz4oYGHHw4MQUlIkPjsM4vblu8tFZa5c40eC3xbMX26gwkTPNv0zZtnYO1aPaGhMq+9ZqmT+SaKIlFRSgytV69e2Gw2SkpKKC4uZs+ePdjtdqKiooiNjSUmJoaQkBCPrqXmCmsH/JlOV1tYVGRZJj09ncOHDzNw4BAsFuU13rbg0el0CILn6YiexDuysnz73Q0G2TV+NSqq8W4BgYbDIWCxiISHO6mo8C3VtqxM4OSTHfz1V9O37hNPmLj8cju//GImPr75L7u0VGlAeP75Dv74Q09aWtOif++9Qbz2Gvz+e2dSUgKnn9Mnn1Rz/vk1Lfbr0xJhSU8XmDu3dbpvt4QFCzzr25abW9O49LHHrHTr1rQL3mg0Eh8fT3x8vGs+SnFxMUVFRRw8eBCDwVDHbWYwuN+s+iosvo4PCQTaXVj8iSAIdVxWVquVHTt2YLFYXC35w8JkKisFysuFOu3Pm0PJCmt+VzR4sOJ28CTG4iujR8uuVvy21km9bzXsdpHISDtms+hztlhzoqLSp4/iEvv5ZzPnnNO8n+TGG4O5/XYZm6358/rrLz3Dhg326DzagltusfHEE81Xm/sqLDab0qDTk2vTlqxeXUUj63kdJAluvz2IsjKBUaOc3HKLd+1nBEH4Z/0Io1u3bjidTsrKyiguLiYzM5O0tDQiIiJcIhMREeFyfzmdTq9jNVqMJcBQhaWkpITU1FSio6MZOXKkq+dOVJQSNC8p8e64ouhZ8F7tG9acNdKrl4NDh3y7/EOHynz6qXLTVresyW67UFhooEcPmcxM348xYoST1NTmd4E//6znnHMcjB3rZNOm5l9vswl07ixxzTV2rrvOzq5dIpdcErj1BFFRMt9/b2bsWM8SS3wVlkceMbFtW2AVdF5xhed9vd54w8jSpXqCgmTefttCCyd0oNPpXCLSp08frFarq3Zm586dSJJEdHQ0sbGx2Gw2V+2Mp/hzyFd70O7C4u/KUkEQyM7OJjs7m759+9K9e/c6nxEdLXP0qEBpad33NZeY5mnwXj2O2dz072UwVOCuyt8TbDbFrRQSIjf7OYFKdjb07SuRnu5bnCk1VccFF9j5/vumt6tXXhlMYWEFP/5opksXz1xWzz1n5dJLlXha165OunWTAqo+SOXCC/dzyy15xMfHUFkZ41FvKV+E5YMPDHzwQeC5wNSebc2xfr2Op55Szn/OHKvLq+BP1E7tiYmJrtqZ4uJi8vLyKC0tpby8HKvVSkxMDNHR0c02l9SC9wGEw+HA6XSSk5PDmDFjiHYz51e1KJQYRY2aNGeMqJX3zaGm/QYFyUDjD7Dd7vtNo64LHoyeCVjsdgGbTW5RGnJzoqLy3/+aePFFKyNHOj3add90UzAzZlQQHQ1r1+oCUlR++snM+PGRFBc7KSoq4tChQy6fvxpcdrd4eSss33+v5777AiMpoTb79lV6NMCrqEjguuuCcDoFLrrIzjXXtH4HZrV2JiIigh49erB161aX6B84cACLxUJkZKTL4gkPD2/wnZjN5g47iwWOI2GprKxk27ZtyLJM//793YoK4OrAWt9iaU4z1Mr75vingwRBzTyLhYW+X3r1NFqjon3uXDvjxsmEhSlxoi+/1PHVV63jAjl8WGTiRAfr1vl+LR5+2Mrzzzftv/7iCyNffOHdjnv48DBKSwPPGhw/3sn8+dX/DAMLISQkhOTkZJfPXxWZtLQ01+IVGxvr6jvljbD88ktgjkKeP7+axMTm46OSBDffHER2tkifPhKvv27xSIz8jSRJREVFER+vtG+qrq52uc3U2hnVbRYZGUlISEiHb+nS7lsxf7jCcnJyWLduHfHx8XWCZu6oa7HU0FTBvsPhucWijihuRNdclJf7/nubzcrfguC/KuFJkyTKyqzcfLPEyJEyffvKnHyyzCefOPj117+49dYWVHM2QVaWSNeuvrsmmhOV2vTqJTFjhvsvulu3uucQiKJyxRV2fv/d7JowWRvV59+3b18mTJjAhAkTiI+Pp7y8nK1bt/L333+ze/dunE6nR/fxV1/p63QlCBQuu8zOOed4lvb/xhtGlixR4iqff17tt3HS3lK/ri44OJguXbowdOhQpkyZwtChQwkJCSE7O5sbbriB4cOHI4oie/fupdoPQdTnn3+esWPHEh4eTlxcHOeddx779u2r8xpZlpk1axZJSUkEBwczbdo00tLSfP7MdheWliBJEnv27CEtLY3hw4fTr18/9Hp9kw9OYxZLUJBSze6OigrPLRaV1vDj1sefDR5/+cVOY4krJpPMo4+WsXq1/1PQjh4VGTiwZddqzhzPfO1Llpj59ttqkpMbfl4gurtq8+CDVt55x+JRBhTULF7Dhg1jypQpDB48GKPRiCRJbN26lc2bN5ORkeEaBaAiy/Dqq0ZuuSXwRAXgvfd8i6sMGdL6z2NjNFUgqdbO9OrVizFjxvD666/z3//+l7KyMl555RViYmKYMWMGCxcu9PnzV65cye2338769etZunQpDoeDU0891TWlEmDOnDm8+uqrvPXWW2zatImEhASmT59ORYXn4yhq02FdYRaLhdTUVJxOJykpKS6zsbkge2MWiygqzSbT0hou1mVlEB3teeU9tI2w+IubbnI2WbUsCAKSJDF2rMzatTZSUvwbyM3KEujeXeLwYd8W9wce8CwGcN55waxda+bPP80MGNBxAqNPP23l7rt9F3XV1RIdHc3Ro0cZMWIEZrOZ4uJisrKyEASBmJgYQkNjmT27KwsWtLyNSWuQm1sRsHGVpvCmjiUuLo5rrrmG+++/n61btyKKIosXL26RZ2fRokV1/v/TTz8lLi6OLVu2cMIJJyDLMq+//jqPPvoo559/PgDz5s0jPj6er776iptvvtnrz2z3bZovF6yoqIi1a9cSFhbGhAkT6vgimxOWxiwWgL593Vss5eWCyxXmyZREi8WCIOxs9nW+4u8U4+aGG4mi6NrVjhol89RTLWueWZ89e3QMHlzm12O6Y9cuHSUlSu+3yZP9+zu0FnfdZWuRqNRHlmVMJhNJSUkMGTKEyZMnM2zYMAoKIjn//AQWLAi8QD3A228v97hlSyDEVWrjbYGk3W7HarUSHh7OgAEDmDlzJuedd57fzqesTHnWYmKUrtwZGRnk5uZy6qmnul5jMpmYOnUqa9eu9ekz2l1YvEGWZQ4ePMjWrVvp168fQ4YMafCF+WqxgGKxuKO4uMYVdvHFzVsiy5ZtpF+/Zl/m8az2+njhkfOI5vp31W8Ueu+9/m8xbrE4MRh8P+7o0Z6999prg7n++iDWrAl8Y/2cc+w8/bT/Uv9kWW4QvBcEkV9/jeWKKwZw4EBgZiG99VYJ3bubPXqtGlcxmWTmzWu/uIqKLMteN6Gs/Kc7bWtkhcmyzD333MPkyZMZMkTpzJ37z7x2NblAJT4+3vUzb+kwwmK329m6dStHjx5l/PjxJCcnu31d8xaL8rc7i0Wdo1Kf77/XuXbtJ53U/AJms/VnwoTmq7LHj/ct+F5aKhAR4b/A/aJFTd8GqitMRa+He+7xz45fTUDYuTOGk07yXTG3bNHx/vvNm3LLl+v57rvAa6JYn/h4iblzrY22ZmkJqrBkZwtcdlkQt94a3KLmoK3JNdfYOPfcKo+aOK5ZUzeuMnRo+7ujVTH3RljM/2TntEbl/R133MGOHTv4+uuvG/ysvveoJe1/OoSwlJWVuUyylJQUIiIiGn1t8xaLspC5s1gac4V9+KHOdWMMHty8sBw6lOTRF9Kjh2/ikJYmMHCg/4Tl779F1wA0d9R2hamccop/Hlo1AaGgQGTx4pYt+K0wSqPdeOUVq8/zUhpD/Q7tdoE33zQwZkwov/8euCLbs6fEG29YkSSpWWE5cEAZmex0Clx4oTIVMxBQ1yJvuhtXVVURHBzsUyflprjzzjv5+eefWb58eZ2NeUJCAkAD6yQ/P7+BFeMp7S4szS3AR48eZePGjXUGcjVFc8KSkKA8XDk5DWMVjQmLelyAPn2av2E/+cSzy/r3375d/vJywe9jVB94oHHXkLuZOapLMZC45ZZgTj+9Y8ROmmLwYCdnn+3/38PplFmzJolJk6J49NGgFs3HaQu2bKlCEGhWWIqK4MILQygpERg92snbb7d/XEVFXYu8dYV50kXBU2RZ5o477uCHH35g2bJl9OzZs87Pe/bsSUJCAkuXLnX9m81mY+XKlaSkpPj0me0uLOBeXJxOJzt37mT//v2MGjWK3r17e3ShmxOWbt0gPl7GbhfYsqXu8WrN/GqAWp+i1zdvsRw4oFzW5txFK1YExOUH4NtvdXz8sfvzqe8KA8+6N3tLt26V9O/fsnqZO+7I99PZtB/Dh0t+XRjtdvjf//RMmhTOyy+PJSMjsHp+uSMvrwK1cYAsy40Ki9WqTAE9dEikWzeJb76pbrXZ9b6gphp7IxL+bpl/++23M3/+fL766ivCw8PJzc0lNzfXVSMjCAJ33303s2fPZuHChezatYtrr72WkJAQLr/8cp8+M3BWtlqYzWbWr19PVVUVKSkpxMbGevze5sYTCwJMnKgskuvWNfz1x4937+LZtUv0qpbF4YDrrmv+td26+Zbxk52NR9XH3nD77QbeeEPXwKXkzhX22mv+W5y6dlXy6WVZz4kntiyV+ZdfWj+7zF+Ehbn//r76ysDTTxu9bpRan4wMgeefNzJkSCg33BDM3r2BLygAmZkVdcShMYtFluGOO4JYu1ZPRITM//5X7VXH8rbAl+mRqrD4y2J59913KSsrY9q0aa5+ZomJiXzzzTeu1zzwwAPcfffd3HbbbYwZM4bs7GyWLFnicwJBwAlLfn4+a9euJSYmhnHjxhHUXG+UenjSLDIlRbn51q3zPDNs+XIRURSx2WycckpRs+exf7/Q6LFqM2mSb7nD6ekivXr5/yF64AE9J5xgYM+e2plDdV1h33wjsmGD/24dvV7ZCGRnG9HpDrboWO+9N9Afp9Tq9O4tuQpyDYaG3+PLL5sYOjSM++4zsXmz6FEmoMMBqakiL79s5OSTQxg+PIznnzeRkxNwj3mj7NhRyT9ZsC4kSXK7yM6ZY+SbbwzodEoGWHNp8+2BL9Mj/W2xqAkE9f9ce+21rtcIgsCsWbPIycnBYrGwcuVKV9aYLwREzqUgCDidTg4cOMDhw4cZMmQIiYmJPh3LE2GpbbFIEnUybxrLDHvySR0//yywa9cuTjwxiT//bNqK+vBDHa+91ryf/OuvfZ8/breDKMqNjlT2lU2bREaONBIbK/PII05iYsLo21ekqkrgqad0/Pyzf3e+0dHBZGSAJIn079+EP7IWRqNnc1MClWnTHHz8sWKdDRoksX27Dp1OxukUSEiQiImR2b1bxwcfGPngAyOdOkmMHCnRr59EfLyMySQjSUqGYHa2yIEDAjt36gI+btIUP/10lOTkUOovS+4slm+/1fPcc0oh5yuvWDn5ZP+nwPsDX4Z8dfTOxhAgwmK1Wtm2bRtWq9U1kMtXPBGWESNkgoOVKYz79tXNsBo61L2wOBwCNpuNqKgoLr+8F48+2vR5vPuuIiyPP+7gmWeavszR0TZKSrx3AW3cKDJ8uIXt21unqK2oSODee/WA7zsXTxAEHeHhMhUVAnFxjWf81SYuThl/0FGpnQrbv78iLMnJMocPCxQWCq6W8PPnG1i6VE9hocjSpSK14qvHFe+8k05wcCarV1cTGRnp6tAcFhbWQFjWr9dx663KPX/nnTauvz4wMsDc4YuwdPQhXxAgwrJt2zaMRiOjRo1qdk5Bc3giLAYDjB0rs2qVwNq1dYVl2rTGzWmHI4zk5GTi4jwzbbOy4MYbnc0Ky2mnHePrr3t4dMz6mM0WRNHkd6ulLQkJqRkF4Gl9jjqeoKMSGysTHy+Rlye6CmWPHRPo18/J/v06Lr44mNtvtzN7tpUPPrCwbZvIjh06Dh8Wyc8XsNmUaxYSIpOdrfxbQYFAXl7HcXupfP55NeedlwAkUF1dTVFRkWsyo06nw2QyIQgCdrudrCwjl10WhM0mcNZZ/i0gbQ3+jfPuIUBiLCNHjmT48OEtFhXwfCBXYwH8kBA4+2z379+xI8F17Nmzm3dzvfeejri4Zl/ms6gApKdHMXJkYAUsPUVtjxMTI7tSvz3tFN6RhRTgqquCSUlR7qXt20XOOsuO3S5w9KhIaKiMw6HMlx8wIIypU0P44AMjhw6JiKJMSIgyw2bfPpH//c/AsmV6du3SdUhR+eyzas47r+ZZCg4OJjk52dU8c9CgQYiiiNlsZtGiDZx9tkhRkciwYTY++KC6xZMgWxtfg/cd3RUWEHdiUFCQ3zIg9Ho9kiQ1yGKqjxrAX7u24SU46yz3VsvTTw92CctllzUvXq+8ogjlo482L0KTJvkeeKyo8HynH0ioz05UlFK0BxAa6p/f4+STi/1ynNZk4UKlJuu33wwMGiQxdqwTs1loECdJS9Px7bcG3n7byOuvm/jkEyOLFytiYrV2XIH95JNqzj+/8WdDFEXXxMWwsHjeeOMUsrJCiIuzcu+9K9m2bQ1paWnk5uZis/m/87Y/8CV4fzzEWAJCWPyJ+iU2Z7WMHy8hCDKHDgnk5dX92bhxjddC2GyKAHiaW5CZ6VlvrcxM3xeI/ftF+vfveMKi1rqGhCjnnpQkUVnpn4Xyr79imn9RADFnjomEBImLLrI3Or7heOKjj6q58ELPikAtFnjwwb5s2GAgMlLmxx8dnHvuOIYOHUpQUBBZWVmsWbOGTZs2cejQIcrKyprdWLYVvsZYOvKQLzgOhUV1pzUnLFFRMHiwmnasXAZZlklPT+fo0W0MG+bed7tkSc0XftddzT8YTz6pJyREyWJqiuxsoUWt9jdtEgMy3bIxEhMliv7J2lZrFoYMkTl4sOPuwFvKL78Y+PZbA1arQGSkjCgGxuLobz7+uJqLL/ZMVOx2eOCB7mzYEEloqMx335kZMkRyzTHp3bs3Y8eOZdKkSSQnJ2M2m9m+fTurV69m165d5OTkYG3HGd6+xlg0i8UP+MsNph5LTV9ujokTVXeY4GpymZOTw4QJE7jiCvc3w913d3H998yZzX/GN9/ocDph+fLmM1e6dGn2JU1SUiKQlNQxFqPISKVP2LhxTvbsUW7DyZOdpKUFxC3Z7pSVCR0+juSOL7+s5qKLPBMVpxNuvDGIVauiMJmUqvrGCphNJhOJiYkMGTKEKVOmMHz4cNdUxr///puNGzdy8OBBSkpKvBrY11J8jbF05Hn3ECDC4k8EQfA4gJ+SotxgS5fC2rXrAJg4cSLh4eGcdVbj71croj0Vgm++ERk9uvkFf8kSkb59fb/pc3IETCaIiAjMnH6Vzp1liouVRfOss5z89ZdyG86Y4XQb8+ooNFZJr6Hw3Xdmj3ugSRLceWcQP/xgQK+XePnlTE44wbP7WhAEIiMjXVMZJ0+eTLdu3bBarezatYvVq1ezc+dOsrOzsVg8m0jpK4FQINkedNynuAk8FZbTTpMwmST27NFTWNirTpPL3r0bH4D18cc1OxBPhl5df70BSYKPP27eajl0qGW71IwMgdhYJ0FBgSsu3bpJ5OcLxMXJOJ1gswkMHSrRubPMpk0d95Y8/fTADCAHAn/9VcWpp3p2T8oy3H+/ifnzDYiizNNPH2Dq1Krm39gIRqORhIQEBg0axOTJkxk1apSrZ9a6devYsGED6enpFBcX+92a0Vxh7Yg/XWHgmbDIskx+/j4mTToGwOLFPRqcxznnuL/JHnusJi36pps8e1i+/lrk0kubv2mdToFzzvFtzrRKRoaR+HhrQO6ghw6V2LtXbdJp5/33lWt56612vv9e36HdP+vWBURZWMCxdWslY8d6tmDLMjz5pJEPPzQiCDLvvWdh6tRCr3f9jSEIAuHh4fTo0YPRo0czefJkevbsicPhYM+ePaxatYrt27dz9OhRV5PGlqDVsRxHNCcsNpuNzZs3k5+fz333Kb7Mb78VGwz/akxYAPbtUxbA6Gi49trmxeU//zEgCPD9981bLT//3HL/6uHDIXTuDJGRgSMu3bpJVFRAVZXA5MlO8vIEcnNFuneXuPhip0tkOipHjwZ4UUU7cPBgpUc981TmzFFSqgFef93KpZc6PJrH4isGg4G4uDgGDhxISkoKY8aMISoqivz8fNavX8+6devYv38/RUVFHnlB6uOtsMiyrMVYApWmhKW8vJx169ah1+uZOHEiJ54YxODBEtXVAl9/XfdyjBwpM2KEe3E56aSauTDPPeeZ33j+fJEzz/Rs53b66S13ZWVkCERGQpcu7S8uXbtKBAVBZqZI584y11/vYO5cRUjmzLHz/fc617gBf/Hcc5prqj05dqyCzp09v/feesvg6v81e7aF665TNmGtKSy1EQSBsLAwunfvzqhRo5gyZQp9+vRBlmX27dvH6tWrSU1NJSsri6qqKo9Smn0J3h8PLV0CQljayhV27NgxNmzYQHJyMiNGjECv1yMIcMMNyms/+qhuy3hBgAcecL/AFxUJrmrx2Fg444zmheCmm5RYy+bNzS94f/yh48wzWy4uR44IlJcr/ajai379JHQ6pd4mPFzm5ZdtPPywEUkSuPRSB5MnO3n8ce96pb3/ftMppM89Z+PHHzULoj0IC5MpKqrAmzDB3LkGHnlE6f/12GNW7rijxrJvK2Gpj16vp3PnzvTv35+JEycyduxYYmNjKSoqYtOmTaxbt459+/ZRUFDQ6KgOX4P3WowlAKkvLJIksWfPHnbv3s2IESMaDA277DKJ4GCZtDSR9evritx550mNzng47bQaq+W99zyzWp5+WseQITKjRjW/0P/2m9KcsaVUVCjtPwYNkujUqe2sF5NJZuhQJVCfmSkSEyPz1ls2nnrKQF6eUrfz+us2brjBRH6+d5uLpUubFo1zz3WyaZMmLG3NiSc6yM6upJlBry5kGZ591sjjjyuict99Vu6/31bvNY0P+morBEEgNDSUrl27MmLECKZMmUL//v0RBIEDBw6wevVqtm3bxuHDh6msrHRZM966wmw2G3a7XXOFBSK1hcVqtbJp0yaKiopISUmhc+fODV4fFQUXXqgs9B99VPcmEMXGXV0bNogU/9M5JC5OmfzXHC+8oCczExYv9sxNU1HhP2tu925lTMDgwZKr2r010OtlundXRGznTpHSUoHhwyVeftnGQw8ZOHRIiav8+KOVa64x8ccf3glAQoLEd981HY956qnAneV+vDJrlpWffqr2ePqlLMPDD5uYM0dxfz35pJUnnrA1eH97WSxNodPpiI2NpV+/fkycOJHx48fTuXNnSktL2bx5M2vXrmXPnj3Y7XavugBUVioTVDu6xSLIAdL7wJ/Vsbt27cJkMhEXF8e2bduIiopiyJAhTTa53LBBYOpUI0FBMhkZNqKja35mt0NMjNHVz6o2w4ZJbNyomO25udCjh8mjc1y7dj2//hrM7NnDm33tyJES27b598Hq1k1pZnjkiIDZ7B/xCg21AzJ6PZSVKa6t4GCZu+5yIAhK7zS7XWDgQIn5862MHh1AM2Q1WsQvv5iZOtVz163TCTNnmvj8c+U+efllCzfd5D6xZf369fTt29erSbLtidPppKysjKKiIrKysgBcowBiY2MJCwtr1P1/5MgRhgwZgt1u90tT3vai4555E+h0OkpLS8nMzKRPnz706NEwlbg+48YpbpudO0W+/FLHHXfUPCQGA7zyioO77mq4C96xQyQzE3r0gIQEpeDv11+b34F/9FEir78ew6+/SuzY0bRobNsmcs45Tr8O2FJm1gv06OFEls1YrUZycz0Txfro9crepKqq5voEBzuZNi2Lbt0sLFjQg8OHFVfHmWc6GDJE1kTlOGL37kqSkz3fn9rtSkX9Dz8odSpvv23hiisadyUHosXSFDqdztU8Mysri1GjRlFVVUVxcTGHDx92/TwmJobY2FhX7RzUpBp3pN/XHQFjsdhsNr80jpMkiXXr1lFVVcXo0aO92uW8/77IzJkGBg6U2LrVXsckt1ggIcGIxdJQoPR6mcpKxbVVUgKJiZ4t0Pv3W0lKgrAwz15/3nnOVgtIR0TIdO+ujCwVBNizR8Th8M6SMZlkJk2SGD1aQpbhu+90ZGYqD0hQkIPevctIS+sYu06N5tHrZbKzK+vMp2+O6mq45ppgFi3SYzDIfPKJhXPPbTo+uWbNGoYOHUpkpO/TVtsDp9PJypUrmTx5MkajYplJkkRZWRnFxcUUFRVRWVlJREQEsbGxlJWVUV1dzVVXXUVubq5fkppWrVrFSy+9xJYtW8jJyWHhwoWcd955rp/LssxTTz3FBx98QElJCePHj+ftt99m8ODBLfrc48pisVgspKamYrPZXGanN1x6qcTDD8vs2SOyYoXAiSfWCF1QEDz0UCWzZjUMqjkcAqmpAiNGyERHw7ff2rnoouZ9/P36mTCbrXzxxQauump8s6//8UcdF13k5Ntv/S8u5eUCO3cqN7JeL9O/v0xoqIQkOamqqiQsTI/JFIrTqbTbMJkgOlrGZAKjUbHqZFlphvnSSw1/d4tFr4nKccRll9l57z2Lx/EUgMpKuPTSYFat0hMUJPPll9VMn968+6yjWSwqapy3dvBeFEWio6OJjo6md+/eWK1WiouLKSgo4IILLsBisRAaGsoXX3zBjBkziI+Pb9E5VFVVMXz4cK677jouuOCCBj+fM2cOr776Kp999hn9+vXj2WefZfr06ezbt69FCQTHjcVSUlJCamqqy4dZWlrKqFGjvD7OzJl63n9fx/DhEmvX2usMEsrJqaBv3xgcDvc3ucVSEycaNMjoUXuWc891cs89f7N+/QAefNCDqWAos2C+/rp9Mp7Cw2XUZ7yiouMP3NLwnm++MXtdZ1VSAhdeGMKmTUqm4//+V82kSZ4dY8WKFYwdO7bD1XZUV1ezbt06TjzxRI+sD5vNxrvvvsu7775Lly5d2LJlCyNHjmTBggX06dOnxecjCEIdi0WWZZKSkrj77rt58MEHASXWHR8fz4svvsjNN9/s82cFzDbAV7NPlmWOHDnC5s2b6dWrF0OHDsVgMPhUJQvw2GMOoqJktm8X+eSTupcnMlLHJZfsa/S9779f8/q///Ys6+unn3T88EMXzj+/nAsu8LQ9jI6TT26fupSKCoGyMiHgu++2Z93O8cyBA5Vei8rhwwIzZiiiEh0t8/PPZo9FBQIj3dgX1OJIT9c2o9FIYmIiXbt2ZePGjeTm5nL33XfTpaVtzxshIyOD3NxcTj31VNe/mUwmpk6dytq1a1t07I73bdXC6XSya9cuDhw4wOjRo+nevbtX3Y3d0bkzPPGE4vOdNUvv6mQMikl73nkHGl20Zs40uNKPRbGMBx/c7tFnzp3bm1Wrgpg/3+Fxd+O//hLbtCalo+HpvA8Nzxg/3kx+fnGjNV2NsWWLyMknh7B3r46kJInffzczerTnoq9Og+2IwuLr9EjVMuvcuTNXXnklwd4EsbwgNzcXoIG7LT4+3vUzX+l439Y/VFdXs2HDBiorK0lJSSEmpmZioF6v91lYAG66SWLQIImiIoFnnqnrHzUYJN5/v/FW20lJJrKzj7Fx40auucZIVJRnD+J//pNMerrAjh3N9xJTKSxUdkLq7HgNhYsucrja8mu0nBdfzOS559axbt0atmzZQmZmJhUVFc26rn/7Tc8ZZ4SQny8ydKiTv/4yez3MTv2MjiosHaGdS32LSkngadnzEzDflje/SFFREWvXriUyMpLx48cTFBRU5+eiKLZIWPR6ePllZcf7/vs60tLUBVy5SUaOdHDffY3viO+7T2bEiBH06tWLvXs971c1bJiRkhKoqvKupsfpFDjttMBtk9+WhIfLPPecnbff9l+BZCB2iW4rdu8u4+aboxk3bhwpKSkkJiZSUVHB1q1b+fvvv9mzZw/5+fkNWpq8846Byy8Porpa4JRTHCxaZPapZ53axt7fbZ/agkBvmZ+QkADQwDrJz89vcdJAwAiLJ8iyTGZmJlu3bqVfv34MHjzY7U6mJa4wlZNOkjnvPCdOp8C99+qR5Zqb2+l08thjTuLj3T8oCxf24tgxJRAfFQUrV3ouLklJJkpKoLzcO3FZtEhHjx7/3gVQ5Z57stizp2VjB+pTXQ29ev27YjY33WShsLCYuDgHDofDVbCXkJDA0KFDmTJlCoMGDUKv13Po0CFWr17N1q1bycg4wn//K/LQQ0HIssD119v43/+q8TXBSBWWjmix+NKAsrKyss2EpWfPniQkJLB06VLXv9lsNlauXElKSkqLjt1hvi2n08mOHTvIyMhg7NixdO3atdHXttQVpvLCCw6CgmRWrBD58UfRFb+RJKVT77ffNu62Gj/eSFWV+t8yn37quYsrOdlEQYEiLkFBnotFZqYifDNmeP5ZxxPTppk544w8zj3Xs+w6T3E6Bfr3//eI9oYN1bz2moTJZMRoNLoWR6fTicPhwGazIUkSUVFR9O3blwkTJjBhwgTCwuK5/fYEPv5YceXcdVcWjz6ajSD4/ix2ZGEJhAaUlZWVpKamkpqaCigB+9TUVI4cOYIgCNx9993Mnj2bhQsXsmvXLq699lpCQkK4/PLLW/S5HeLbMpvNrF+/HovFQkpKClFRUU2+3h8WCyjV9PfcoxznwQf1VFfXPfa4cTK33tr47rhnz5qOvZddJnHXXZ4HlHv3NpGVBSUlNiZP9m63vHix4gZKSPj3uMcSEiQ++ghKS4c2+brBg31rHbRunch119X9/lqz31p7MHp0Hr/+ugRRTKOgoABZltHpdBiNRoKCgjCZTOj1ekRRRJZll8jY7XZKSkzceGMf1qyJxWSSeeutPK66Ko/09P2sXr3a5+FZHbWGBQIjxrJ582ZGjhzJyJEjAbjnnnsYOXIkTzzxBAAPPPAAd999N7fddhtjxowhOzubJUuWtLgJZsB8Y435UAsKCli3bh0xMTGMHTsWk6n5KnWdTocsy34ZM3rffU6Sk5WeWq++qkMURVemSkZGBqecspru3d1bCOXlAk8+WXNjvfii06vg5eDBJrZvF/jzTzv33+99llNuro6BAzuWuCQm+vadLVhgo3NnmDEjqMnX9ehxrMG/devW/GeWlgrYbDBjRs31NJsFhgw5PlxkS5daWL48hKFDByCKIvv27WPFihVs3bqVI0eOYDab/0leMWAymTAajRgMBnQ6HVu26DjxxDC2bdMTGyvx448VXHllUJ1289HR0RQUFLB+/XrWr1/v8Sjgf5uw+Ht65LRp05BlucGfzz77DFDW3VmzZpGTk4PFYmHlypUMGTKkxZ8bsJX3sixz6NAhDh06xODBg0lKSvL4vbVN95belCEhikvsyisNvPSSjh49whk0yM7OnTspKipi8uQxzJsnM22a+/e/+KKelBSZGTMkBAE2bLB73MIFYMIEIwsX2nnmGSdTpkicc453c0v27FGuxZAhEseOCQGdLTV+vJMNG7wv/Hz3XStjx0pcfHHT1yY6Wmby5ER++63+T6xA8ymdX36p5+23rZSVwfr1ynnu2iUSEiLTu7fSybmjcd55Dj77zPZPm3sdnTp1olOnTsiyjNlsprCwkIKCAvbv309wcLDr59HR0ej1eubN03H33UZsNoG+fZ18/XUlPXs6cTgUa04QBIKCgkhOTqZbt244HA5KSkooLCxk9+7dOJ1OoqOjiY2NpVOnTg02jh011Rh8i7EcD7NYIECFxeFwsHPnTsrKyhg3bpzXPYJqC4vB08EQTXDBBRKffCKxbJnIrFnDiY3dQFSUjokTJxIUFMSECTJPP+3giSfcX85zzzWwdq2NUaOUzr8FBVY6d/ZcXP7v/wzcdpuDl192kpFhpWdP75tF7tpV83COHFnJtm2BcfMajTJnnulk4UK9T6Ly7LM2rr7ayerVIr/91vTtfPXVDvbta/gap9P953brJnHkSN1F7d57jSxYYOXHH2U++0w5ltlc0w6nf3+JQ4cEt52wA42NG6sZPNi9O0+dPxIaGkr37t1xOByu1iO7du3CYpH44ovRLFyoZBadfbaDDz6wERFhQJIUd7HqNajtlhZFkdjYWDp37owsy1RWVlJUVERubi779+8nNDTU1Y4pIiLCL5vD9sJXV9jxICwB09JFkiTsdjuVlZVs27aNoKAghg8f7mre5i1Llixh0qRJfjMr8/JgwgQ9OTk6TjihkD/+CEWnq7nhZRluu03Pp582fiPt2GGjXz/lcnvTYr822dlWYmLgxhv1zJ/fsrYukyfbyc7WkZHR9g/u9OlOYmNlFizwfW/z9NM27r3XQVaWwIABzVscW7dWM2pUw9d16aJMuKwvIuecc5iff+7u+v+EBIncXBGDQebtt20YjXD//UYKCgJfRGrzwAN2Hn/cjq/rdU4OXHaZnk2bjAiCzGWX7eW663KIi1OsmcjISJdrW3Ub1xYaFVFUEmIEQUAURex2O0VFRRQVFVFcXIwsy4SFhWE2mxk3bpzPa0F7sW/fPnQ6nVftWKZMmcKjjz7KRRdd1Ipn1voE1FYgPz+f9evXExcXx+jRo1t0I/krgK9itx/l3nvXYTBIrFrViddeq2sJCQK88YaDE05o3Gc8bJiRI0eU/05IgNxc7wPJXbqYWLlSYO7cMj74YJ3X76/NmjUGl6iMHGnzap6GL5x5poObb7bTpYvE0qW6FonK888rolJaikeicvrpTvr2db+H0utx2yJHkjrTp09NsNlsdjJ8eDV2u8BNN5n4+ms9v/5q4fXXbQwb5p9YiyB4t88zmTyPvSUkSGRkmHnySd9FZcMGkcmTg9i0yUhkpMx331l5++1EevbsjtlsZtu2baxcuZJdu3aRk5Pj2rUbjUZMJpMrAUCNg6qZZna7HVEUiYuLY/DgwUyePNm1sXQ4HKxZs4bNmzeTkZFBeXm5XzqhtzbeWiyyLB83rrCAsVjy8/PZuHEjQ4YMITExscXHW7FiBcOHDye69sQuH5AkiX379nHs2DFGjBjB3LnVzJnTG1GU+flnO6ecUvfyVVQoqcZNNaDMzLTyT20S1dUQHe295ZKSkstrr+UzcGBf7r1Xz4cf+ndiYs+eEuPHK26d9HSRkhLvduUjRkgMHSoRFiaTni7y55/+a5r5/fcWTjtNoqwMkpJCPHrPsmUWQkNlxo9vKEK9e0s8+6ydyy5r+D0sXWph+vSahIBOnaz07l3Mli3xOBwioqi48i66yEmPHjLbtols3Sqyd6/AoUOiW2smOVkiKUnGZhMoKwObDSorlf5rntK5s4OCAs+FeckSC5MmtUz8PvlExz33GF3D2hYssNKnT937X20LX1hYSGFhIVVVVURGRrpiM7WHXNW2ZtT/VlGtmcLCQo4cOcKwYcNcreaLiopcLrXY2FhiYmL84vL2Nzt37iQyMpJu3bp59HpZlunfvz/ffvstkydPbuWza10CRljUGzIkxLOFojlWr17NwIED6dSpk8/HsNlsbN++HavVyqhRowgJCWHbtlRefrk/338fRUyMzNq1Nnr0qPu+Y8dg8GAj1dWNLxTHjikuLYCsrBwmTEikqMh7gfnmGwunn26ntFRkxIiQNgvOh4fLxMUps1vMZigpEZr8ff1Famo1ffvK5OZC796e3Ssnnujk11+tPPOMgRdeaLgA9e8v8csvVvr1ayg6s2bZCA9XYisqJpPM6adXcvSoxObNdeN/vXo56dcPEhNlIiNlDAZFOKqroahIIDtbIDNTIDfXN5Ohd2+Jgwc9f++sWYpl15IwRWUl3HOPkS+/VITsvPMcvPeezaOiR4vF4hKZoqIiDAaDS2RiYmLqTElU4zGqyMiyTF5eHnl5eYwcOdLlMlPXClVkzGZznQmNoaGhAVGpv337djp16uRxE0lZlunatSsrVqxwpQd3VAJGWGRZxmbzvEK9OdauXUvv3r19bk1QUVHBtm3bCAsLY9iwYa4HYMeOHeh0odx00wC2bBEZMUJi+XJ7g2FHu3YJjBnTtCvv0CFl0FdeXh4HDhzkhRemsnSp9yuAwSCze7eFpCSZvXuF43I647XXOnj5ZRvBwZCWJjBunOe/4/bt1fTpIxMa6l6IBg2S2LjRQliY+59nZJh5//2GotSli0RKikRVlf0fC6XpVGdfOeEEJ7t3i67ecJ5w3nkO3n/fRku9Kjt2CFxzjYn9+xXr7Ikn7Nx3n8OrOSwqTqeT0tJSCgoKKCwsxGKxEBMT4xKa2ptKSZJcz2CXLl1ITk52/UwURdcfUPoGqtZMcXExBoPBJTJq9lp7sHXrVhITEz32wEiSRGxsLHv27KFv376tfHatS0BmhfmDlsRY8vLy2LFjBz169KBPnz51dj86nQ6DwcnXX9tJSTGSmipyxx16Pvqo7sM2ZIjMb7/ZOPPMxsWlVy8Tq1bZ6NlTRJKc/PKLnZdf1vHYY959LXa7QN++wVx4oYNHH83i5593YbcP4YILenr9uwcia9ZUM3KkjCzDSy/pmTXL89jbf/9rp08fmWPHGl8J9XolRhYcLLu1ulJSgti3z0LPnhJ33qmk1gJkZ4t8+60I6ElOlpgwwUl1tUxpqURVlUx1tUh1tQ5J8n6zcOKJTkJDZX79Vc+qVZ67Efv2lViyxEJcC5sPyDJ8+KGehx4yYLUKJCVJfPKJjSlTfHen6XS6OgP4qqqqGk1n1ul0pKam0q1bN3r84xKobc2ovckEQXC1m+/SpYtLvIqKijhw4AAWi4WoqCg6depEbGys3zwinuBtjMViseB0OltcnBgIBIzFAsqQGX+xefNm4uLiPPZvQt3amaFDh7qatNVmz549AAwcOJDlywXOPNOAJAm8/rqdW25p+NAtWCBy7bVN+39ffbWEwYM3MXXqVABSUwUmTPA9ceGcc6p45x2B6GjIzhY4/3xTnXTjjsK8eVbOP9+JKEJ+PowdG+zVrh2gpMSM0Qj33GPg/ffrfg8jRzrZtk3HyJFO1qyx8vHHeu66y/11nzHDyXffWUlPF3jySQO//OLfPZlOJ3PBBU7i4mSWL9eRlubd9xUVJbNqlYXevVv+OJeUwO23G/npJ+V3PP10J++9Z6UFXuVmUdOZCwsLyc/Px263ExoaSrdu3ejUqVOdRrOSJNX5Uz82U9uaMZvNFBUVUVhYSGlpKUFBQS5xi4qK8jod2BvWr19P3759PZ5kW1hYSK9evaioqOjwAfzjVli2bdtGVFQUPXt6tmt3OBzs2rXLNXkyIiLC7ev279+P3W53zYR+/XUdDz2kRxRl3n/fwVVXNRSXxYtFzj23aXE56aRsfvutk8vqqayEoUOV9GZfOflkJx99ZCUuTomDfPyxnoceCvyUzS+/tHLOOYqg2GwwZ46B559v/PpFR8tukws2b65m4EAZmw2ioxvuVG+/XemCPGWKk0WLrBQWQvfuje9ok5Ml1qyx0LmzMmfk6691LFyo8yleEhtbzbBhFYwaJREWFsqiRSE+1fGEh8usXm1pNOPNWzZsELn2WiNHjihp1c88Y+eOO3xzfflCcXEx27Zto1u3buh0OgoLCykrKyM8PNxlzbhLZ64tMuqSpsZk1L/V4kw1NmO324mJiXEJTf0u6S1l7dq1DBo0qNkWVCqZmZkMHz4cu93eqoLXFgSUK0wQBL+lEXrjCquurmbr1q3o9XpSUlKaTHPW6XRYLDXzWGbOdJKeLvDxxzpuukmP3e7g+uvrisuMGRKrV9uYMqXx4y5b1oXgYCgrs2IyQWnpUT74YA9r1oznxRc7e/R71Oevv3T07BmC0Sjz5Zc2brvNwZ13OigqghdfNPi1tXxLOf10J889Z3M1e7TZ4KOP9Nx/f9NCmJgokZPTcGH//nsLAwcqx3rvPfe3uboYR0Qofze3Iz96VKRHjxBmzrQzc6adl1+WmDPHzs6dAtu2iRw8KHLsmEB5ueKeFARl4Y+KkklMlOnWTSY5WcZuh2XLBObOjWP58qY/szGSkyV+/93qFwsFwOGA117T88wzBpxOgV69JObNszFqVNu1rCksLGTHjh0MGDDAFfDu1asXNpvNZXWozRTVSv1OnTq5WstATQKAJ8WZVVVVFBUVkZeXx/79+wkJCXGJTGRkZIsLM711hampxoGQeNBSAspiaenc+9qkpaWh1+vp379/k69Td0iJiYkMGDCg2ZspIyOD0tLSOlkbkgT33KPnvfeUm2juXDs339zwgTxwQGDSJEOzaaW//roHQchgxIgRxMTEsGePk1Gj/FPoecYZDp57zu4q1DSb4ccfdTzzjKFBgWBrc955Du67z86IEbJrR5ybCy+8YPAofTosTKaysuG1fPFFG3fcofjgKyshPr6hFTJlipMZM5w89piRyy5z8NFHSuLIsmUiZ5+t7FxPPdXJkiVNLwx33mln+HCJPn1kwsOVzgp6PVgsSqZcdrbAli0iv/2m8yqbqzGmTVOsUD9k5Ls4cEDgxhuNbNyo/K4XXujgzTdtNGK0twr5+fns3LmTQYMGNRnsliSJ8vJyV2ympenMtYsza6czy7LssmZiYmI86lFYnxUrVjB27FiPi7Q3bNjAVVddxbFjxzq8uASUxeJPPLFYjhw5wr59+xgwYECTbfjrH7d+4zxRhNdec2Ayycydq2fmTAM2m4M776z7+X36yGzfbuPMMw1N+tDPOmsgN93Uk2nTlIeiTx+J8vIqPvzQUCft1Rd+/13P778rX/vEiU4ee8zORRc5ufxy5VzNZti0SWTBAj3ffKPDavXPDW4wyJx5ZjETJ2bQo0ceSUmRdO7cmc6dO1NeHsR33zUe36iP0ajUgLgTleefrxEVgPPOc78g3HGHgy1blO8gMrJmwTnxxJrvdskSHV98YeWmmxpPHX/zzbax+q6/Pp+HH5ZITAz326KjBugffdSA2SwQESHz0ks2rrjC2WauL1CSZXbt2sWQIUOazeIURZGoqCiioqLo06dPnXTmjIwM9Hp9g3Tm+tZMbfcZ1LjMOnfuTHx8PLIsU1FRQVFREdnZ2ezZs4fw8PA6rWaa+w7U43tjsZjN5jZNLmhNAspisdvtfulIDJCeno7FYmHo0IZt1CVJYs+ePeTl5bmsAk85evQox44dY9y4cQ1+Jsvw+OM6Xn5ZWbiffdbBffc1FLfycrjkEgPLlze/g01Lq6J795ruz6WlMueeC5s3+3986RVXOLj0Ugdjx0oNahTsdiURID9f4NgxgaNHBYqKBCwWxY0SHKy4fbp0Udw9nTopf7vb9RYWVrFmTRVffWXit9+823rHxcnk57t/qN9/38qVV9Zc78WLRc4/373fvLTUzH33GfjoIwMPPaS0OFHZs0dgzJiadObff7ewcaPoVTaav/j220pGjMijsLDAVRioLpyxsbE+p9JmZwvccouRZcuUhW/aNCfvvWeja9e2XQ6OHTvG3r17GTp0KJ07++byVZEkydXgsrCwkOrqaqKjo13Xq7bl0Jw1o3ouRFF0ueLUdGZBEFxp0o0VZzqdTlauXMmUKVM8Lt785ZdfeOGFF9ixY0eLrkMgcNxaLI0N+7JaraSmpuJ0Opk4cSLB9QtQmsGdxaIiCPDMM05MJnjuOT2PPabHZoNHHql7HhER8NNPdmbObLq3GMDgwaE89JCdxx6zI8sS2dl7ePrpQoKCxnDSSS17EOvz5Zd6VxGcygknODn1VCfjxknEx8v07y8xdizN7mgdDigogIMHBTIzlcr7n3/W/VPAGQJ4d+4jRjhITdU3Kir1K8uzsoRGReWuu+wYDLhSkJOS6i6mAwfKvPyyjfvuU4TkjDOCeOwxG3v2VLNggY6nnmpdgbnqqgJmzQohIUFA6bqUSFJSIpIkUVpaSmFhIQcPHmTnzp1ER0fTuXPnBnUgjSHLsGCBjnvvNVJWJhAcrATob765ZUWUvnD06FH279/P8OHDPc6caora1fj9+/d3xVAKCgpIT09v0J1Zp9M1as3UTmfW6XTEx8eTmJjocsUVFRVx+PBhdu/eTUREhOtzVVecuvb4EmM5HjhuLZbDhw9TWFjI6NGjXf9WXl7O1q1biYqKYujQoT5lXuTn55Oens6kSZOafN2LL+p48kllkX7wQQezZrl3L3z4YSl33ulZEeeXX24kIaGSESNGEBQUhCzD0qUi//d/rVOYFwh061bBkSON5/UnJ0v8/belTuC9oAB69Gh8kT1wwExiolKfsn276GoRU5/nnjMwe3bd3eYddyiuw7Awmd27RbZvF8nMFNizR2TfPgGdThGmXr0kLBawWAR27Gi+uPG008ycccYmpk+P9zhFvnZb+5KSEkJCQujUqROdO3d2G3zOzha4+26DyxU6ZoyTDz+saYzalhw5coSDBw8yYsSIFrdd8oTa6cyFhYU4HI46xZm+pjNbLBaXNVNSUuKq1QkPD2f//v2ceOKJHrsuP/74Y37//XeWLFni31++HQgoYXE4HH5rHFnfZZWTk8OuXbvo1asXvXr18tlPrc6ROOGEE5p97Wuv6Xj4YeUhvugiJ++843C5mGRZZv/+/WRlZdG58yiuucbI3r3N79oMBpl9+6qp74pev17k5JOPD4FJTHR6lGb99ttWrrmmrmAfO6YUizbGXXfZef55O7IM3boFU1wssG5dNcOGuX8M/vhD5MILm76uISEyoojbmE9T/Oc/dm680UGnTjns3p3WbOC6KRwOhytzSp3+WBNr6MS8ecE88YSBigoBg0Hm4Yft3Huvg/YoSs/IyCAzM5NRo0Z5PRLDH6jt+lWRKSsrIzQ01GX5+ZrOrFqUqpVksVhcs2bU4sym1p033niDTZs28eOPP7bFZWhVjlthyc3NJSMjgwkTJpCenu5qZBfXwpLkkpIStm/fzrTGJnvV44MPRO65R4/DIdCvn8TXXzvo39/Ojh07qKysdPUgW7z4TxYtGsr77/fw6LinnOLkiy+sDWIYaWkCZ58dRF5ex8oqSUqSOHbMM1/MKacc4bbb9tO9ewydO3cmOjoaURTZvl0gJaVxUQkKksnMrCY8HHJyBPr0CUYUZfLzqxu05KlNZSW8/nrTtTSecNZZDq680smkSc5afeKySE9P90uMQUWWZcrLyykoKGDzZjMvvdSPvXuVDxw92s6779r5pwyrTVELkLOyshg9enTAVJjXTmcuKioCatKZY2Nj65QfeGrNlJWVubp3FBUVUVpaitFodB3XXXHm888/z5EjR5g/f37b/OKtyHErLAUFBezdu5eQkBCqqqoYNWqUX/yXZWVlbN68mZNPPtnj96xbJ3DllQaysxWf9syZezjjjCKGDx+OwWDA6XRSVVVFQUEBa9ZYePLJgeTnexacv+IKB2+8YaN+bVdREXzyiXftT9qS2FiZoiLvxO+005y89pqNLl1q3BoFBQXY7Q5++GEEn32W3OT7Fy60cOqpistLDewPGCCxZYulyfepyDJs2yayZo3I4sU6VqxoaFXp9TL9+slMneokJUXp8Nyrl0x9r6s62vrw4cOMHDnS4yI6T7Fa4ZVX9Lz0kgGbTSAkROLmmzM44YTdhISYXC4zVZRbG1mWOXDgAMeOHWP06NEBG0uQZblOd+bKykoiIiJc16uxdObaY39BWSfS09OZMGECoijidDrrFGfabLY61kxwcDCPPvooNpuN9977//bOO66pe///r7CHyA7gYIiCArJC66jV2qpIQYbWttpa7bq9VVutt8O2t+veqlW7vh3YVm+tdloFV22dDLcVQtjgQFBmwoaQkHHO74/8PseETUhIgPN8PProvYGGk5PkvM7n836/X69vDHkKdIJRCQvJZtAFlZWVyM3NhZOTE0JDQ3Vmq93a2opLly5h/vz5/frvRCJgxQogLU3V/vr00wps394OS0vV6Vf/ctfWSvHqq23Yv7/nC6U6PJ4Sv/9+145fnaIiDt5806LXmQxj5fXX5Vi7Vo6u6rtlZUBAQO9F6zffVDVAED76yAz//a8FHnlEgT17dGd+2hdomkZxcTFqamoQHh6u8zv3M2dM8OqrFrh2TfWZioxU4v/+T9XxpVQqmSRIUmtQHzbUZl6jN8jrFQqF4PF4Os101zfq7cz19fVdtjMT1BsArl27hra2NgQHBwPQXM2Q2GeySrpy5Qq+/vpr+Pj4wM3NDT/++KPeQs0SExOxfft2VFVVITAwEJ9//jnuv/9+nf+dYSkstbW1yMrKAk3TmDdvnk7vyNra2nD27FlERkb2q05TWVmJnJx8nD49HV9/7Qya5iAkRLWd5et79/dILLNEIoGdXTjeeccOp071TxRPnZJixgyqU7MATQO5uRzs3WuGHTuMZ+q+Kx58UDVjc++9nV8HoPKzWrLEsk82KNHR9UhMbIOTkwPzWZg/3xIXL5riiy9kePZZ3dzM9AWKopCfn4+mpibweLx+dyX2RHk5Bxs3muPgQdXFztVVNZfyyCNdN46QWgMRmebmZtjZ2TG1Bju7gc/M0DSNwsJC1NfX6/z1DjZ9aWcmIioSiRAWFgYLC4tehzMbGxtx9OhR7N69G0VFReBwOJg/fz4SEhLw5JNP6uz49+3bhxUrViAxMRH33Xcfvv32W+zatQsFBQX98lTsC8NKWGiaRllZGa5fv44JEyagpKSk3yuL3mhvb0dqaioWLFjQJ8EiWwBlZWUICQmBi4sLTp2i8fTTlqirM4G9PY2vvpIhIUEJqVQCgUAACwsLBAcHM6us1FQTvPKKBa5f759Arl4tx5tvytHdmE5Tk8r2ZdcuM6SnG341s3q1HMuXKzQm8TtSXQ288ooFjhzpW9U5JkaMt94qQEPD3YI2h+OOmTM9oVRyUFgogafn4HwFlEolcnJyIJVKER4errPVgUwGfPmlGT76SDXoaGJC44UXFPj3v+Xozw6bTCZjthfr6uqYu3NXV1c4OTn1u4uSoigUFBQwIqprLy5DQ7ryyGrGysoKpqamaG9v7zRx31XWDKDZALBixQrMnDkTkZGR+PPPP9HU1IRt27bp7HinTZuG8PBw7Nixg3lsypQpiI+Px5YtW3T2d4BhJCxKpRL5+fmoq6tDWFgYLC0tkZ6e3u+VRW8oFAqcPn0aDz30UK/ba2T10dzcDB6PBxsbG6boV1VlipUrLXH5surLOneuFMuXX0FY2Cj4+/t3Ei2lEti7V5XgR2zb+8O778rwzDMK9FQflsuBggIOzp0zxeHDprh4UX9ic889ckyffgPh4TLExk6AlVX3f4umgUuXTDSSHPvCK6/I8cEHcpia3t07F4lE+OILW3z//UQEBjbjwIFKuLq66v1OWi6XIysrCxwOR2dbszStqhW9+ebdba8ZM5T49FNZt11ufUX97lwkEqG9vV2jPbe380VRFHJzcyEWi8Hj8fSyxWZMyOVy5vpjZmbWaYuxYztzV8OZs2fPxmOPPYZ3331X58cnk8lgY2OD/fv3IyEhgXl83bp1EAgESE9P1+nfM6oBSW0FQCqVIisrCwAwY8YMWFlZMaFh/bVV6A1ywVcqlT1eHKRSKfh8PkxNTTF9+nSmSE+eY9w44Pjxdnz0kTk++cQMqalWOH/+frzyigKvvaZAx1k3U1Pg6aeVWLJEgm++McOHH6rMAvvKf/5jgf/8R7Vv+9hjCmzYIEdAAK0xFGduDoSE0AgJUWjYoigUqm2W6moO6utVU/fXrnFQU6OyVWltBXOnPHq0ysLdyUlluujjQ8PNTZU2OX48DRsbVWFTIBDA3d0dfn5+Xb7vNK0KmXr3XQutYo137mxnbGoA1WfLwcEB5uYOOH5c9SV/4gkxkwVia2urMQOiy5sR8vm0trbWen6qI/n5HGzceHdy3tWVxqZNMixfrhs7FvVhQz8/P7S1tUEkEqGmpgbFxcXdtucCd1dm7e3tiIiI0Fu9wFigaRqlpaVobm7G9OnTYWNjw7QzV1VVoaioiPl8kfPVcTjzxx9/xI0bN/Q201NbWwulUtnJMsfNzQ3V1dU6/3tGJSza0NjYiKysLDg7OyMwMJB5s8i/++sw2htk2drTIGdTUxP4fD5cXFwQEBDA3J0AYPZWAVUH0fLlRfDxqcPPP0/D2bPW2LbNAvv2meHjj+V4+OHOHXKjRwOvv67AunUK7Ntniq1bzVFa2r8tsn37zLBv3923/sUX5VixQoHAQLrLuQYzM8Dbm4a398AXtyKRCLm5ufD19YWXl5fGz+7c4eDkSdM+e4Z1xdy5SuzY0b01yWefmaOy0gReXhReeMEeVlY8yOVyZvYgKyuLsU1xdXWFs7PzgD4/bW1tyMzMhKOjIwICAgZc7xMKgQ8/NMfu3WagKNVMyurVCrz+ev+2vfoDh8OBra0tbG1t4e3trXG+iNswOV8ODg7Iy8uDUqkEj8czyix6XULTNG7evInKykpEREQw2192dnaws7ODj48Pc75qa2uRnZ0Nmqbh7OzMzMOlp6fjtddew7FjxzBv3jy9Hm/HGyaapvVieDmkhaWiogIFBQWYNGkSvLy8NE6Q+spC15D2wa4gg5gTJ06El5cXs/VFBIlAtu6ampoQHx+GJ56gcfhwO15/3RxlZSZYutQSUVFKfPyxrMsLuqUl8NRTSqxYocTp0yb44gtz5u61v+zYYd6pmL9ihQKLFyvg50djzBgaurjpJDMbEyYEoanJDb/9ZoLvvzfDhQsDF35PTwrvvy/Ho492f8eekWHC+Lht2iRnWrTNzc3h7u4Od3d3ZsiNrGTUt4BcXV37VSdobm5mnLMnTZo0oC+wWAx8/bUZPvvMHM3NqueJj1fgv/+VY8KEwd3N7ni+SHvuzZs3IRaLYWZmBm9vb8hksmEvLCUlJaioqNAQlY6ony+yJVtVVYVt27bh+eefh7W1NRYvXgxnZ2e9XehJKmfH1YlQKNQ6vr0njKrG0tfce9LOV15ejtDQULh0E6Rx6tQpzJgxQ+c98ykpKeDxeBpTw+TO5datWwgJCYGrqyuzh9pRVIhfGdlvV98qaG1VZaV88YVqqNLKisbTTyuwfr0C48b1/Fbl5nLw889m2LFD9d/qExcXGgEBFHx9abi707C0VG2rmZgAEokqtresjIPCQo5WQVh9hcul8cYbcjzzjKJH8Sst5WDePEtUVZkgLk6Bn3+W9bplRNpCRSIRRCIRmpqaMGrUKMaVuaeuqfr6emRnZ8PHx4eJ1tUGuRzYvdsMW7aYMz5pYWFKfPSRHLNmDV5WSm+QGhKg2l4hho3En4usZgZjZmawuHnzJsrLy7Weyzly5AjWr1+PpUuXorKyEqdOncKoUaPA5/O7TK8dKNOmTQOPx0NiYiLzWEBAAOLi4oZ38b4vwiKXyyEQCJjOmp564rsSAF2QlpaG4OBgxhVZqVQiNzcXjY2NTJ9+dyuVlpYWCAQCODo6YsqUKd1usxQVcbBhgwXTrWVuTmPZMiU2bJD3mhaoVALnz5vg99/N8MMPQ3pR2i2zZinxwgsKLFqkRG83xQUFHCxZYonbt00wZQqFM2ek0OYj0VXXFBEZYmoIqO4C8/Ly4O/vzwRW9ReKAg4cUOXklJSoLsY+PhTeeUflVWZM12eZTAY+nw9LS0sEBwcz54H4c5F2ZoqiNAraQ7n2UlJSgtu3byMiIkIrUfnzzz+xcuVK7NmzB4888ggA1Xm8dOkSZs+erZdVC2k3/uabbzBjxgx899132LlzJ/Lz8zttSw+UISUsra2t4PP5sLW1RUhISK+W4enp6QgKCtKJc6o6586dw+TJk+Hq6soUZtVXH13VU4C79QVvb2/4+Pj0IdNB1Wq8fbs5zp41/f/PSWPxYiX+9S85QkJ6f+va24HTp1URuklJplp1lBkLEyZQiI9X4tFHFZg6tW8f24MHTbF6tQWamzmYOJHC8eNSnYRkka4pspqRy+WMjX1VVZXW9kEUBRw+bIpNm8xRWKhSD1dXlbfX00/3vCozBO3t7eDz+bCxscHUqVO7XZEQmxkizGSinTQADKXkROKYoK0tzenTp7F8+XLs3LkTy5Yt08MRdk9iYiK2bduGqqoqBAUF4bPPPuuT72F/MSphAbrPvRcKhcjJyYGnp2ef96vPnz8PPz+/AfuDdeTixYvw9fWFtbU1MjMzmcYBABrhQeQYaZpm3FwDAwO12tO8ckVVHyDOtIBqovqll+SYM4fq0x0sTauyRlJTTZGaaoq//jL87EpvhIZSiI5WIC5OiYCA7udbOlJVBbz1lgV+/111vmbNUuKXX9q7nN4fKGTQ8Pr164zXlL393SAzW1vbXj+vFAUcPWqKzZvNkZd3N4Ds5ZdVmfPG6IAilUqRmZmJ0aNHIzAwsF/bXOoT7XV1dbCwsNCwmTHWzPfS0lKUlpZqLSrp6elYunQpEhMTsWLFiiEjpv3F6IWFGNeVlJQgKCioX+6vly5dgre3t9aOsd1x+fJl2Nvbo7y8HL6+vvD29ma2vsjAE4GiKBQVFUEkEiE0NHTA23K5uRx88ok5kpJMQVGqD+X48RSWLVPiiScUmDix72+nXK7yvhIIVPbvGRkmzEXNUMyapQSPR2H6dAqzZim7He7sjqYmYMcOM3z6qTnEYlUL9GuvKbBxo1xvd/tkCLaiooIZfCQrmfr6elhaWjJ35h29ueRy4PffTfHZZ3dXKKNH01i7VoE1a/TX6TVQJBIJMjMz4eTkhClTpgzoAkl8tMhqRiaTdTsDYkjKyspQUlICHo+H0VrkNp8/fx5LlizBZ599hmeffXbYigpghMKinnuvXrsIDw/v95v5999/Y8yYMRg3ru+eW71B0zTOnj2L9vZ2hISEgMvldlukl8vlyM7OhkKhYDJUdMXNmxx8+aUZfv/dDE1Nd//m9OkqgVm8WKnVRUkmU61qiopUxfeyMlXeyLVrnD67D/fG2LGqor+XFw1fXwpTptCYMoWCt3dns8a+UlHBwddfm2H3bjOma+ree5XYvl2OiAj9FblJGml9fX2XNT91by6RSMTUGezsuPjzTw989ZWq9gOoBOWf/1TgpZe6d0swBsRiMfh8PlxdXeHv76/TCyRN04whK7G0Jw0TLi4ufYoF1gcDFZUrV64gPj4emzdvxurVq4e1qABGLCwSiQRZWVkwNTVFaGioVpO7mZmZcHFx0VlhSqlUIi8vDzU1NfDy8oKfn1+3oiIWiyEQCGBra4ugoCCtI2R7QyIBjh0zxc8/m+H0aRNmFWNpSSMyUonISCXmz6cwduzA32aaBlpagIYGDurrgdpaJcrLW1Ff34zGRjEoygQyGQ03Nyd4eXFhbc2BpSUNBweVm7Gzs2qAUlffqbY21fbRL7+YISXl7mufPJnCxo3ybj2ydAX5PBD37N5uHGiaxp07LUhMpPHjj85obFQtoZydFXjxRSlWrzbRqqlgMGltbUVmZqZOWqj7ArG0Jw0T6jNGHU0g9QXZxtY2PyYzMxOxsbF47733sG7dumEvKoCRCkt9fT2ysrLA5XIHNFQmEAgwevRoTJgwYcDHRYqUAGBhYQEHBwdmTqWjqJBW03HjxmHixImD9kGqqlINP/70kxmzrUIICKCwYIEqZnjGDEqn20Kk1bqsrAxOTk5obm4GRVHMBcDFxUVnF4CqKuDkSVOcOGGKM2dMNcK17r9fiXXr5IiM7FvNaSAoFAoIBAJQFIWwsLBe5zVKSjjYscMMP/5ohpYW1TF7eiqxalUtZs++CbG4ViMB0sHBweguQC0tLcjMzMT48eMHFJanLerRzCKRCBKJRGPGSB+2PHfu3MGNGze0FpXs7GxER0dj48aNeO2114zuPdUXRicsN2/eRGFhIfz9/QfsuJmbmwsrKytMmjRpQM9DIo0dHR0RGBiIgoICtLe3Y8KECRg9erSG8JWXl6O4uBiTJ0/WutV0oNA0kJ3NwV9/meLkSVNcvWoCmr77gR41isY991Dg8ShERKj+3TH3va+QraC6ujom80Y9aEooFKKtrQ1OTk5MMbuvW4I0rZrG//tvE/z9twkuXDCFQKCpGF5eFJYvV2LZMgV8fQfno0zaay0sLBASEtJtoZmmgbNnTZCYaIZjx0yZ92DKFAr/+pdqRUX0iCRAki0gABrT/4NxZ94TxE2CdDQaA2KxmGkAINHM6jYzA52ZKS8vx7Vr1xAeHq5VXk5+fj6ioqKwbt06/Pvf/x4xogIYmbDQNM14SDnpYJO5oKAAJiYmmDx5stbPIRQKkZ2djQkTJsDHxwcURaGlpQW3bt1CXV0dzM3NweVy4eLiApFIhOrqao0ZF2Ogrg5ISVGJzKlTphCJOn/APTxUAjN1qqruMXGi6t89vQyFQsF4QoWFhXUrGGTIUCgUMnvmXC5XIzhJKgVu3VJlxxcWmiA3l4OrV026HK7k8ZSIjKSwcKESYWH6X52oI5FIwOfzYWdnh6CgoC4vXmIxsH+/KXbsMNdohpg/X4nVq+WYN6/nY6ZpWuPOXF2Y+2IAqWsaGhogEAjg6+urc3t1XSGXyzVmZtSjmV1cXPrtAEBEJSwsTCv/rqKiIkRFReEf//gH/vOf/4woUQGMTFgA1QekJx+u/lBcXAyFQsG0AvcHkvB38+ZNTJ06FW5ubkxSHGklpigKdXV1qKmpQXV1NWiaBpfLhYeHx4A9pvQFRQF5eRxkZJggI8MUmZkmKCjgMPWJjjg5qQRm7Fgarq4qM0lXV8DBQYba2uuwteVg6tSJGDXKFNbWKrNMpfLuPwqFKgu+uVn177o6BW7dkuD2bRmqqijU1dlCKLSFSNT13pyZGY3gYAr33kvhnnsozJ2rhB4cKPoEmaPicrldFq1zczn4/nsz/Pbb3QYCGxsaTzyhwIsvKuDvr91XjdyZi0QiNDY2MgaQrq6uei9m19XVITs7G35+fjptgtEn6imQIpEIYrGYaf8muSk9nbOKigoUFxdrLSrXr19HVFQUnnzySXz00UfDym2grxidsOgynph4F5EUt75Cwphqa2uZbrSOokKQSFQZKubm5vD29kZ9fT2EQiHa29uZrQxXV1ej9kwSiwGBwASZmSYoLjbBzZsc3LjBQVXV4H4hrK0V8PGRIiCARliYOe69VzXH0tHp2RAQs1NPT0+N+kJbG5CUZIrvvzfD33/fvZHw9aXwzDMKrFypgC4Na+Vyucb0v4mJCfMZ0yYzpSfIQO/kyZMxZswYnT3vYCORSDRyUywtu49mrqysRFFREUJDQ7Xadbh16xYWLlyIJUuW4NNPPx2RogIMc2EpLS1FQ0MDwsLC+vzfyGQyZGVlQalUMrku3dmzNDY2Ijs7m7mDJR8i9WQ+oVCI1tZWODo6Mts/xtKX3xtisaqtuaTEBNXVHIhEHJSXt+PmzVZIJHaQSq0hlQISiWorq61NtSIyNVV5hpmaqqz4R42iYWcH2Nmp/s3l3rXSHzNGZa3v6amEuXkTamtFnbZ/DH3OamtrkZOTg0mTJmH8+PEAVC3Z//ufGX791QyNjXfdqmNjlXjmGUWfh1YHgrphpnpmCjlnA8lAEQqFyM3NRWBgoF58qwxFT9HMFEXh+vXrWovK7du3ERkZiejoaHz11VcjVlSAYS4sd+7cQU1NDSIiIvr0+y0tLeDz+bC3t0dQUJCGPX7HlUp1dTUKCgowceJEjB8/vseltUQiYUSmsbERdnZ2GjWGoUJ1dTXy8/Ph7++v920RMstAzB9JZC6Xy+3TJLuuqKqqQkFBAQICAuDo6IFDh0w7OTJ7e1NYtUqBFSsUMNQ1WH3+QyQSacQMq9ey+gJ5zVOnTtW5a4UxQdM0WlpaUFtbi8rKSkgkEtjY2MDDw6Pf0cyVlZWIjIzEgw8+iG+//XZEiwpghMKiq9x7QPVm37lzB9OmTev1d4lljJeXF3x9fTWS3dQ/JMQJ4Pbt25g6dWq3zsrdQYwMhUIh6urqYGVlBS6XCy6Xa7Dhr94gkc8lJSUIDg7u92seKDKZjLlg1tXVMZPs+nbMJTb/9vbhOHDAFT//bIa6OtX7Y2pK4+GHlXj2WQUeemhwGwj6AjlnZAvIwsJCwzCzu3NG6guGeJ8NBblJDAgIgFKpZGxm+hrNXF1djaioKEyfPh3ff/+9UdZWB5thLSw1NTW4efMmZs6c2e3vkPS3GzduICgoCO7u7t0OPSqVShQUFKCxsRFhYWEDXm2QDzG5aJqamjJ35T19+QcTmqZRVFQEoVCIsLAwraaOdYlSqWTackUiEQDdt+WSm4erV0U4dmw6Dh2yZpobxo2j8PTTCqxcqYSHh1F9dbqFWKaQc0a2f0gxm7gMEyHVditoKFJTU4O8vDyEhIRoCGlP0czqW7NCoRAPP/wwQkJC8OOPPxq8LdxYGNbCUltbi8LCQtx///1d/pyiKBQUFEAkEiEsLAz29vY9ZqhkZ2cDQKcMFV2g7pYrFAqhVCrh4uICLpdrsDkGYqnT1taGsLCwQW9z7Q3S/SMUCiESiSCVSgdcY6BpGsXFxfjtN1N8/fVUtLWpxH3+fCVeeEGOBQsorW1njAGy/UNEprW1Ffb29jAzM2PqkfqKxzU2SB0pODgYrq6u3f5ex1yempoavPvuu5g+fToyMzMxadIk7Nu3z6gbdAYboxMWiqIgl8t18lwNDQ3Izs7GAw880Oln6kX68PBwWFhY9Jqh4uDggICAAL0vdcmAIblgkgljUpcZjBwLmUymEUY2FL40YrGYOWfNzc2MLXvfHYYp5OXlISXFAu+8EwaK4mDWLCU++kiGsDCj+proDKlUygy4AoCVldWgbDMaGiIq2tSRWlpa8MMPP+CXX35BUVER7O3t8fDDDyMmJgaLFi0aUNPEcGFYC0tzczOuXr2Khx56SONxMo+gPuTWXZG+vxkq+qDjBdPe3p6py+hjFSEWi5GVlcXYoQ/FPeP29nYNh+GOF8yO76NSqUR2djZkMhlef302MjPNsGKFAomJMqOrn+gKYsVDUhBtbGw0pv/VbXmcnZ2HxM1FXxCJRMjJydG6OaG5uRmxsbFwdnbGgQMHkJWVhT/++AOnT5/GuXPnjG5lbwiGtbCIxWJcuHABCxYsYB4TiUTIzs6Gp6cnJk6c2GORfqAZKvpAKpVqXDBtbW0ZkdFFWFJjYyMEAgHGjBkzKCaDg0FXdRkiMs7OzqAoCllZWTAxMYGvbyg8Pe1AURxcvy7R2urG2KFpGteuXUNNTQ2Tetrx5x2HDB0dHZm6jI0xDBdpARGVoKAgrb7Tra2tiI+Ph42NDY4ePTpoIrJjxw7s2LEDpaWlAIDAwEC8++67iIqKAqB6vz744AN89913aGhowLRp0/D1119rNRyuC4a1sEilUqSlpSEyMhKAqs/82rVrCAwMhIeHByiKglKp7LT1pesMFX1BhuVIhxnp/OFyuVqZGJJI3YkTJxqtdcdAIXYppJbV3t4ODocDa2trhIaGwtTUGmfPqnJp1q/XTa3P2CANGbW1tcxKpTdIy7xIJNLw5XJ1dYW9vf2QuAGpra1Fdna21qIiFouxZMkScDgcHDt2bFBHBY4ePQpTU1NMnDgRALBnzx5s374dWVlZCAwMxNatW7Fp0yb88MMP8PPzw4cffoizZ8+iuLhYq0CygWJ0wtKX3Pu+IpfLcebMGTz44IO4fv06ampqEBYWBgcHhx4zVHJyciCTyXr0vzI2yOAX2TIDwIhMXyayb9++zXTGDefZBXWIBbylpSU4HA5aWlowevRoppbV8S5+OEDTNAoKCtDQ0AAej6fVHbdcLkddXR2zmuFwOBrT/8bYGUWsaQICArQa+JRIJHj00UchlUpx/Phxg1ysO+Lk5ITt27fjmWeewZgxY7B+/Xq88cYbAFRbwW5ubti6dSteeOGFQT+2YS0sFEXh5MmTjJCQdL/uivSDlaGib8hduVAohFAoZPLYiVmm+l45TdO4fv06KisrERoaqpWL61CEOFaPHTuWiTboqi5DRGao3JX3BGlOaG1t7VN+TF+fs6mpiTlvUqmU2TIztGMCgYjKlClTtEqTbW9vx7Jly9DQ0ICTJ08afAdDqVRi//79WLlyJbKysmBlZQVfX1/w+XwNl5G4uDg4ODhgz549g36MQ/PK2UckEgkAVe2Ex+PB1NSUmervLkNl7NixQ762wOFw4OjoCEdHR/j5+aG1tRVCoRClpaXIz89nWnKdnZ1x48YNNDc349577x2y++b9hbzXPj4+8Pb2Zh63tLTEuHHjMG7cOA0be9IdR9q/de3JNRhQFMW0jkdEROiss9DExETjs0am/6urq1FcXMykP7q6uvZrkl1XkPd68uTJWomKTCbDU089BaFQiNOnTxtUVHJzczFjxgxIpVKMGjUKBw8eREBAAC5evAgAnbb33NzcUFZWZohDNT5h0dUHr7a2lrkg+Pn5gcPhMKLSsfPLGDJU9AWHw4GdnR3s7Ozg6+vL9ONXVVWhqKgIpqam8PT0hJEtXPUGqSP5+/v3+F6bmZnBzc0Nbm5uGp5cxcXFaG9v11gBDkb790AgHW9yuRwRERF67e6ytbWFra0tvL29GZeJ2tpalJWV9XmSXVfU19dDIBBobaIpl8vxzDPPoKysDCkpKQYfGvX394dAIEBjYyOSkpKwcuVKpKenMz/veO0kprmGwOi2wgDN3HttuH37NoqLixEQEIBr164hODgYdnZ2nVYp6ttAxpahok9I7DNpwSWur9bW1szWj7HaywwEYlcykDqSusGoSCRCS0sLY8nO5XKNbtWnVCohEAgYU1VDtQyrDwCLRCLIZDKN6X9dz340NDQgKyur1xuI7lAoFHj++eeRm5uLtLQ0o6w7zps3D76+vnjjjTfYrTB9Qrq5qqqqEBERAQcHB9y6dQslJSUYO3YsXFxcmLskhULBbA2MpG2g5uZmZGVlwc3NjckUGT9+PLP1IxQKwefzYWpqyoiMsdjLDITS0lLcunVrwHYl6ivACRMmaLR/37hxg+mWMgbvN4VCgaysLHA4HISHhxu0ZmhiYgJnZ2c4OzvD39+fEeeKigoUFhb2e5i1J0jEgZ+fn1aiolQqsWbNGggEAqMVFUB1k9Pe3g4fHx+4u7vj1KlTjLDIZDKkp6dj69atBjm2YbNikcvlEAgEaG9vZwqTJO2xurpaIyPFwcEBFRUVsLS0RHBw8LAZ/OoNMuw5YcIEeHl5dfvlJXeXpPhPURTzpVcX56EAWZVWVVXp3etMoVAwnVK1tbV6zUrpDblcDj6fD3Nz8x7jk42B9vZ2jYyZvhpmdgURFeI63l8oisLLL7+Ms2fPIjU1Vavn0AdvvfUWoqKiMH78eLS0tOC3337DRx99hOPHj2P+/PnYunUrtmzZgt27d2PSpEnYvHkz0tLS2HZjdfqbIikWi8Hn82FjY4Pg4GCNIj2pp5AtjDt37qCyshI0TcPZ2Rlubm6DZpNiSEgdqb/5GmRQjsx9SKXSIVNfoCgKhYWFqK+vR3h4+KC2D3fc+iGdeR2NH/WBTCZDZmYmrK2tERwcPKRWm+p5KSKRCBRFaZy3nm4Cm5qawOfzByQqr776Kk6cOIHU1FSNxg5D8+yzz+LMmTOoqqqCvb09goOD8cYbb2D+/PkA7g5IfvvttxoDkkFBQQY53iEvLHV1dRAIBBg7diz8/Pw0Jul7ylBxdnZmLpbNzc1wcHBgJtiNoUVSVxDbjjt37iA0NHRABoPqmR9CoRAtLS3MeXN1dTUqKwtioCmRSAw+j0RuasiMUWtrKxwcHJi7cl1uw7a3tyMzMxOjRo1i7IqGKsQzj6wAyXkjDQDqNwpEVHx9fbUa7qUoCm+++SYOHTqEtLQ0+Pr66vKljDiGtLDcuXMHRUVFmDJlCsaOHcsMPXI4nG4zVIKCgjo5mUqlUmbbhwRxubm5GWUxtj8Q92biWqvrSWFSXxAKhWhoaMCoUaM0AswMVV8g26I0TRu0YN0dHc+brjLsJRIJMjMz4eDggMDAwGHXfEEihsmckbW1NSPM165dg6+vL7y8vPr9vBRF4b333sOvv/6K1NRU+Pv76+HoRxZDUliIJUVlZSVj892XDJXQ0NBe9xtJQBKxSdG1F9dgQRwE5HI5E7Gs779Hti9qa2thaWnJnLfBHC5sb29HVlYWLCwsjL62ANydYiefN5LJQ+oyfV1xtLW1ITMzE87OzpgyZcqQ+ZxqC2k2qaysZOpZZFu7PzETNE1j06ZN+N///oeUlBSDeWsNN4xSWHqKJ1YoFBAIBJBIJIwlRV8yVEJCQvp9cVX34lK/WLq5uRm846cnpFIpsrKymOaEwe4G6mj6SCw/yHChvrZnyB27vb09AgMDh9w2UMdMHoVCwWz79FRfEIvFyMzMhJubGzOzNRJoaWlBZmYmPD094eTkxHze2traNKb/u9uipWka27dvx1dffYWUlBQEBwcP8isYvgwpYWlrawOfz4eVlRVzwexu6FHXGSrkYkn2yUk7LjF8NJaLWEtLC7Kyspg7V0MfFxkuJOdNLpczE+wuLi46E72Wlhbw+XyNNuqhjHogl1Ao1HAXVr9Yktc9ZswYxppmJNDa2oqMjAx4eXnBx8dH42fqoVyNjY1dbjXSNI0vvvgC27dvx6lTp8Dj8Qz0SoYnQ0ZY6uvrkZWVhTFjxsDPzw8ADJahQu4sa2pqIBKJQNM0c0fu7OxssIt5XV0dcnJymC+bsV1kyMWSiIxYLNYIMNN2u460mBrr69YFHd2FbW1tYW9vj5qaGnh6eo6oYjMRFU9PT0yYMKHH3yW7DqSV+ccff4RUKoWbmxt+++03nDx5EtOmTRukIx85GKWwdIwnLi8vR2FhIfz9/TF+/HgolcpeM1S0dTHtL10ZPqqLzGBtQ1VWVqKwsBBTpkzRyr7CELS1tTEi09TUxDgL96dpgtxETJo0yWhmDvSNXC7H7du3cevWLQAqjzNt5z6GGsSRety4cf0WU4qicPr0aXzzzTc4f/485HI5FixYgEWLFmHRokVaeYmxdI1RCwsJIyovL2cmprurpxhDhor6HXlNTY3GzIerq6teupNomkZpaSlKS0sRHBwMZ2dnnf+NwYA4CwuFQtTX18PGxoYRme7MC6uqqlBQUNDv2ZyhDvHAmjRpEsaOHasx96FUKpnP3HBKfQRUtaSMjAyMHTsWvr6+/V6Z0jSNvXv34vXXX8eRI0fg5uaGo0eP4siRI4iLi8Prr7+upyMfeRitsEilUmRnZ0MsFjNhRH3JUAkNDTWaeQoyuyAUCtHa2qqTbR91iJjW1tYiLCzMKDIidAGZYCdNE+bm5hoBZiYmJkx+TEhIyJAVU20gFvBdeWCpz32opz6Sz9xQns8ioqJtLYmmafz6669Yv349Dh8+3CmuXJ+GjVu2bEFycjKKiopgbW2NmTNnYuvWrRptzcaWADlQjFJYWltbceXKFVhaWiIkJARmZmZDPkNFIpEwItPU1DTg3HridSaRSHSWrWGMUBSlEWBG0zQsLS0hkUgG7Ps11CCxugEBAX3atulYxCYW9kOtdb6trQ0ZGRnw8PDQukHhwIEDWL16Nfbv38/E+Q4WCxcuxOOPP4577rkHCoUCb7/9NnJzc1FQUMAMeRpbAuRAMUphEYlEKC8vZxS9uyJ9fX09cnJyhlw+e3t7OyMyZLCQDGT2xXaEzGqYmZkhJCRkWG139ARFUcjJyUF9fT3MzMyYDjNSXxjO56GmpgZ5eXlax+oSC3tSxCarQGOvyxBRcXd31/o7fvjwYTz33HP49ddfERsbq4ej7B8ikQhcLhfp6emYPXs2aJo2ugTIgWKUwkJRFGQyWbdFemD4ZKiQwUIyIEes67urLRBfNDJdbawXBF1D0g9bWlqYFZpYLNbYaiTtuMPNlqeqqgqFhYWYOnVqJ9cIbejKj0t9XsZYVv0SiQQZGRngcrlaz+ccO3YMq1atwt69e7FkyRI9HGX/uXHjBiZNmoTc3FwEBQWhpKTE6GzvB4pRCktNTQ2srKxgYmIyojJUuqotkIFMe3t7NDY2MimXI2lmQaFQIDs7GwqFAmFhYV0aOJJ2XHVbHiIyA7VhNyTl5eW4du2a3mpJpC5Dthrb2tqYhFFD1mWIqLi6umo9l3Tq1Ck88cQT2LlzJ5YtW6aHo+w/NE0jLi4ODQ0NOHfuHADg4sWLuO+++1BRUaHR0fmPf/wDZWVlOHHihKEOV2uM49akAxs2bMCpU6cQHR2NhIQEzJ49GxYWFmhsbMSff/4JLy8v3HPPPYPqVjsYmJmZwd3dHe7u7sxdpVAoZHyvlEol02Y5VC+U/UUmkzHbfjwer9u7aWtra3h6esLT05PZ9hEKhbh169aQza4nrfPEtkgfcDgc2Nvbw97eHpMmTWJawEm0MBHowfR/Iw4KLi4uWotKWloannjiCSQmJuLxxx/Xw1Fqx9q1a5GTk4Pz5893+pkxJUAOFKNcsSgUCpw9exb79+/H4cOHIZVKMW/ePFy9ehXjx4/H0aNHh/V+ekdKS0tx8+ZNODk5obm5mclHIS2lxu6HpS1SqRR8Ph+2traYOnWqVtt+HR0TSEaKvu1lBgoJJgsPDzdYzrq6QNfV1WnMy+jLbUIqlSIjIwNOTk5ae56dO3cOjzzyCD777DM8++yzRnNxfumll3Do0CGcPXtWwy2A3QozAEqlErt27cKGDRvA5XLR2NiIyMhIxMfHY968eUPafbg3yBxPdXU1M5tD8lFIbUEmk+nFIsXQkFqSLk0VO3pxKZVKo6stECfuO3fuIDw8XK/BZP1BfQVdW1sLmqaZc6erQWBdiMrly5eRkJCAzZs3Y/Xq1UYhKjRN46WXXsLBgweRlpaGSZMmdfr5mDFj8MorrzCzNDKZDFwuly3e64ukpCSsXLkSH374IV566SX8/fffSEpKwsGDB1FTU8OITGRkpM5t4Q2JUqlEXl4eWltbERYW1qWAqud81NTUoK2tTWMg05hDuHqiqakJWVlZet32U5/5EAqFzLkjqxlDnDuapnHjxg1UVlaCx+MZ7ee5q/A39bqMNjNa7e3tyMjIYLz9tHnPMzIyEBsbiw8++AAvv/yyUYgKAKxevRq//PILDh8+rDG7Ym9vz4waGFsC5EAxemE5ceIEFAoFoqOjNR6nKApZWVk4cOAAkpOTcefOHcybNw9xcXF4+OGHjdp9uDdkMhkEAgE4HA5CQkL6fJFT75JqaWkZksNxZABQ22wNbVEPMGtubmbmjHQdxNUdNE2juLgYQqEQPB5vSNUPybkj1jx2dnbMuetL4wQJJxs9erTWOTICgQDR0dF466238OqrrxrVd7+7Y9m9ezdWrVoFwPgSIAeK0QtLX6BpGnl5edi/fz+Sk5Nx48YNPPjgg4iNjUVMTAwcHR2N6oPWE21tbcjKymISALWtn5AuqZqaGq19uAYbMqthaL8zMmdEAqX0nclD0zQKCwtRV1eHiIgIo3GO0AaSZ0TmZUhdhrgmdDx3MpkMGRkZAxKVvLw8PPzww1i/fj3efvvtIfNdH84MC2FRh4SAHThwAAcPHkReXh5mz56N+Ph4LFq0CC4uLkb7wSNbQB4eHjrN1ejow0UulG5ubkbTikvaanU1q6Er1N1x1VvAyWDhQM8dSflsamoCj8cbMivLvtAxlwcAUw90dnaGUqlERkYG7OzsEBQUpNW5LCwsRFRUFP75z3/igw8+MIrPMsswFBZ1SN47ERk+n4+ZM2ciPj4esbGxcHd3N5oPInHp1fcWUMfwMtKKy+VyDbJ9qG6iGRoaqre2Wl2gXsAmF0r1DrP+ri7J0Gdrayt4PJ7eUz4NCXEBJyIjlUrB4XBgY2ODkJAQrVZp165dQ1RUFJ566ils2bLFaDv8RiLDWljUoWkaZWVlSE5ORnJyMi5fvoxp06YhLi4OcXFxGDdunMFE5s6dO7h+/ToCAwO1suvQFqVSqSEyZmZmcHV1hZubW5fbFrpGvestPDx8SBUp1eMSRCIRZDIZ0zjRU9ojQalUIicnB+3t7QgPDx+yjRbaQAr1HA4HpqamaGlpwejRozUGWnujpKQECxcuxNKlS/HJJ5+womJkjBhhUYemaVRWViI5ORlJSUm4cOECwsLCEB8fj7i4OHh7ew+KyJAuoIqKCoSGhsLBwUHvf7M71M0ehUIhADArGX3Me5AtoMbGRoSHhxtt3acvqHfniUQixl6mu8YJpVKp4SQwkmay5HI5MjMzYW1tzcwmka1aUtOysrJiRKargdaysjIsXLgQMTEx+PLLL1lRMUJGpLCoQ9M0ampqcOjQISQlJSE9PR2BgYGIi4tDfHy83swtKYpCfn4+mpqaEBYWZlRdQDRNo6GhgREZMu9B7sZ1EfOck5MDqVSK8PDwYbcF1NHJmnRJcblcWFpaMk4KYWFhRjE7M1gQUSHR4l0JgkKhYOoytbW1AFTbjY2NjQgODkZzczMiIyMxb948fPPNN6yoGCkjXljUoWka9fX1jMicOXMGfn5+iI2NRUJCgs4G9eRyObKzs6FUKhEaGmrUF1Z1Lykys6AuMv2925bL5RAIBACA0NDQYX+3TrqkyPQ6h8OBhYUFgoKCBmW70ViQy+Xg8/mwsLBASEhInwSBoiimLvPcc88hLy8PXC4Xnp6eOHDgAJv4aMSwwtINZAjsyJEjSE5OxokTJ+Dp6Ym4uDgkJCRobTEikUiQlZUFa2trBAcHDyk7FpqmIRaLUVNTA6FQqJFZ35ehwvb2dvD5fOaOdSi99oEik8mQmZnJFKzr6upgamrKbPkYs3X9QFEoFODz+TA3N++zqHSkuroajz32GADVXAifz8f06dPx3nvvYf78+bo+ZJYBwgpLH2lubsaxY8eQnJyMv/76C1wul9ku4/F4ffqytLS0gM/ng8vlwt/ff8hfSIhhIRkqdHBwYESmY12hra2NsfsPCAgY8q+9PxBBtbGxYW5IiL0MOX/Eup604g6XLTIiKiQ7SJubibq6OkRHR8PPzw+//vorzM3NUVlZiaNHj4LH4yEiIkIPR67i7Nmz2L59OzIzM1FVVYWDBw8iPj6e+flwS37UFaywaIFYLMbx48eRlJSEY8eOwcHBAbGxsYiLi8O0adO6/PLU1tYiJycHPj4+g9YcMJhIpVJmy6ehoUGjrkBRFPh8Ptzd3XU6nzMUkEqlGlPlXQlqV9uN6jHWQ7VjTKFQICsrCyYmJggNDdVKVBoaGrBo0SKMHz8e+/fvH/Rz8ddff+HChQsIDw/HkiVLOgnLcEt+1BWssAwQiUSCU6dOISkpCUePHoWVlRViY2MRHx+PmTNnwszMDDt37oSLiwumT58+IvaFO9YVaJqGo6Mj/Pz8ugwvG64Q+3dHR8d++V91tOYZaIy1IVAqleDz+QMSlaamJsTGxsLFxQWHDh0yeC2Sw+FoCMtwTH7UFayw6BCZTIaUlBQcOHAAhw8fBgAEBAQgIyMDP/30EyIjIw18hIMLyWgn+TK1tbWwsLBgLpJDKRulvxB35oEEVQGdV4JDIbdeqVQiKysLABAWFqaVqLS0tCAhIQE2NjY4evSoUQhqR2EZjnb3uoIVFj0hkUiQkJCACxcuYNy4cRAKhYiOjkZ8fDzmzp1r8LsvfVNZWYnCwkKNjPaO2SimpqaMyOgr38MQtLa2IjMzEx4eHjptV+/omtCbD5chUCqVGu3U2oiKWCzGkiVLYGJigmPHjhlNK35HYRmOyY+6YnhUCI2M9vZ2JCQkoKqqCkVFRXB3d8f58+eRlJSEdevWoaWlBVFRUUymjDHcjemSsrIy3Lx5E6GhoRpxuupCol68zs3NBU3TA7JHMRZaWlqQmZmpF8t/c3NzeHh4wMPDQ8OHKzs7GxwOh7GtN9T5I6JCUZTWoiKRSPDYY4+BoiijEpWeGE7Jj7qCXbHoAZqmsWPHDjz55JOdgpooisLly5eZTBmRSITIyEjExcUN+UwZ4s1WXl6OsLCwPicfktZu0sYsl8vh4uICNze3IdUh1dTUBD6fD29vb42EQH2jPu+hfv5IgNlgzAoRNwGlUqn14KdUKsWyZcvQ1NSEEydOGCw5szvYrbC+wwqLASHdUiRTpry8HPPnz0dcXByioqKGVKaMuvV7eHi41neaNE2jpaWFKV5LJBKN8DJjHahsaGiAQCDAhAkTBjVHpiPk/BGRIbNGZDWojy1YiqIgEAigUCgQHh6ulajIZDI8+eSTqKqqwunTp43SjLS74v1wSn7UFaywGAkURSE3N5cRmZs3b+LBBx9EXFwcYmJijGYPvSvIsYvFYoSHh+vU+r21tZXJlVH34NLXRVIb6uvrIRAI4Ofnh3Hjxhn6cDQgs0YkhIvk8pAQroFCURSys7Mhk8kQHh6ulfDL5XKsXLkSt27dwpkzZ+Di4jLg49IVra2tuHHjBgBVI8Knn36KuXPnwsnJCZ6ensMu+VFXsMJihJC7f2L3n5+fjzlz5iA+Ph4xMTFGlSmjUCg0DBX1OWfQ0YPLGNpwyXzS5MmTDRpO1hfUzR7r6upgY2PDiIw2q2OKojQcmrURFYVCgeeeew75+flITU0Fl8vt93Pok7S0NMydO7fT4ytXrsQPP/ww7JIfdQUrLEYOcUAmIpOVlYX77ruPyZRxc3MzmMjIZDJkZWUxU9WDWQvpGF42atQojZTHwYA0HgQGBsLd3X1Q/qauUCgUnSIT+tOhR1apEokEPB5PK1FRKpV48cUXcfXqVaSlpY2IGa+RAissQwiSKZOUlITk5GRcuXIF06dPZzJlxo4dO2giI5FIwOfzmfQ/Q7YKy+VyjYFMa2tr5iKpr4HM6upq5OfnY+rUqUZ3l91f1CMTRCIRKIpiajLOzs6durt0ISoUReGll17CuXPnkJqaivHjx+vq5bAYAaywDFFomkZFRQWTKXPx4kWEh4czIqNP25jW1lZm+G/y5MlGsy0H3LVdJxdJEiWsy1mPyspKFBUVITg42KjqAbqAdOiRLcf29naNADMzMzPk5eVBLBaDx+NptfVJURT+9a9/4eTJk0hNTYW3t7fuXwiLQTGIsJSWluK///0vUlJSUF1djTFjxuDJJ5/E22+/rfFBvX37NtasWYOUlBRYW1tj+fLl+Pjjj4esd5K+IJkyBw8eRFJSEs6ePYugoCBGZHQ5pNfU1ISsrCy9zGnomo5RwmTWw83NTWs3YZL2GRoaCicnJz0ctfFA3KyJyLS2tsLMzAwcDgdhYWGdWun7AkVRePPNN3Ho0CGkpaXB19dXD0fOYmgMIizHjx/Hvn37sGzZMkycOBF5eXl4/vnnsWLFCnz88ccAwGSVuLq64pNPPkFdXR1WrlyJxYsX48svvxzsQx4y0DSNuro6HD58WCNThjgxDyRTpq6uDtnZ2Zg4cSI8PT11fOT6hcx6qIeX9bTd0xVlZWUoKSlBWFiYQdM+DQFN08jOzkZTUxNsbGzQ1NSkUdeytbXt9XNFURTeffdd/Pbbb0hLS4Ofn98gHT3LYGM0W2Hbt2/Hjh07UFJSAkDlKhoTE4M7d+4w3Ta//fYbVq1aBaFQqNXd0kiD5LKTTJmTJ0/Cy8uLyZTpT22E1BQCAgKGfJG1q+0eYlnv6uraZRPCrVu3UFpaivDwcKMb3NM3NE0jPz8fzc3N4PF4sLS0hEwmY4r/dXV1sLS07NEDjqZpfPjhh/j++++RmpqKgIAAA70alsHAaITl3//+N44fP46MjAwAwLvvvovDhw8jOzub+Z2GhgY4OTkhJSWlyxZAlp5pbm7GH3/8geTkZBw/fhxubm7MSiY8PLxbkSHbP1OnToWrq+sgH7V+Uc+rJwOFHQcyiZsAj8cbcbMJNE2joKAAjY2NiIiI6HJ2qKMHnImJCVxdXWFtbQ13d3dYWVlh27Zt+Prrr5GSkoLg4GADvBKWwcQovDJu3ryJL7/8Ep988gnzWHV1NWNeSHB0dISFhQWqq6sH+xCHBaNHj8by5cuxfPlyiMVi/PXXX0hKSkJMTAwcHR0Zu/97770XpqamoCgKJ0+ehKWlJcLDw4fl9g+Hw4GdnR3s7Ozg6+vL1BTKy8tRWFgICwsLKBQKhISEjGhRISuVrujoAUe2HD///HP8/PPPCA4ORl5eHv78809WVEYIOl2xvP/++/jggw96/J2rV69qJL5VVlZizpw5mDNnDnbt2sU83p1DqIWFBfbu3YvHH39cV4c94pFIJDh58iSSkpLwxx9/wNraGjExMaiqqsLly5fx999/D/mW2v5C0zTy8vJQW1sLGxsbtLS0MFPrXC4XNjY2hj5EvUKGdOvr6xEREaGVm4JSqcR//vMfJCcnAwDKy8sxb948PProo1i5cqWuD5nFiNDpimXt2rW9XvDVWwsrKysxd+5czJgxA999953G77m7u+PKlSsajzU0NEAul3daybAMDGtra6aDTCaT4fjx49iwYQOqq6vh4eGB//73v0hISMD9999vtF5duoTcqTc1NWH69OmwtraGTCZjtstu3LgBW1tbjYFMY+6O6y80TaOoqGhAokLTNL7//nt89913+PPPP3Hffffh+vXrOHToEPLz8/Vw1H0jMTER27dvR1VVFQIDA/H555/j/vvvN9jxDFcMVmOpqKjA3LlzwePx8NNPP3XqyiHF+/LycqZYvG/fPqxcuZIt3uuRtrY2LF26lMkULyoqwoEDB3Do0CHI5XLExMQgPj4eDzzwgNF4dekSiqKQn5+PlpaWbn3PuspFcXNzA5fLHVLGoV1B0zSKi4shEokQERGhlVUOTdPYs2cPNm7ciKNHj2LOnDl6ONL+s2/fPqxYsQKJiYm477778O2332LXrl0oKCgYcl2Oxo5BhIVsf3l6emLv3r0aokKsMUi7sZubG7Zv3476+nqsWrUK8fHxbLuxHikoKMCbb76JvXv3anQ/KZVKnDt3jrH7b21txcMPP4z4+Hg89NBDwyJThkyUt7W19Xn4bziFl+lKVH755Re88sorOHz4MB566CE9HKl2TJs2DeHh4dixYwfz2JQpUxAfH48tW7YY8MiGHwYRlh9++AFPP/10lz9TP5zbt29j9erVnQYkh+Od8lBCqVRqZMrU1tZi4cKFTKbMUAhn6ohSqdQwVNR2olx9IJOEl7m5ucHJycmoRYamaVy7dg1CoVBrUQGA/fv3Y82aNdi/fz+ioqJ0fJTaI5PJYGNjg/379yMhIYF5fN26dRAIBEhPTzfg0Q0/jKbdmGVoQlEUMjMzGZPMioqKTpkyxg5JPiQhVbqoI5EZIlKXUSgUzKyMi4uLUSVk0jSN69evo7q6GhEREVo3Jhw6dAjPP/88fv31V8TGxur4KAdGZWUlxo4diwsXLmDmzJnM45s3b8aePXtQXFxswKMbfhjvLRTLkMDExAT33HMPtm7diqKiIly4cAFBQUH4+OOP4e3tjaVLl+Knn35CQ0MDjPEeRqFQgM/ng6Zpra3fu4LD4cDR0RH+/v6YNWsWU6+5ceMG0tLSkJ2djaqqKsjlcp38PW0h7tkDFZU//vgDzz//PPbu3Wt0oqIOGyM8OLArFha9QDqryEqmoKAADzzwAJMp4+zsbPAvtFwuB5/Ph7m5OUJCQgZlFdGV/5aTkxMzkDmY27wkSrqiogIRERFab2GeOHECK1aswK5du4x2DIDdChtcWGFh0Ttkq4WIjEAgwKxZsxAfH49FixYZJFNGJpOBz+fDysoKwcHBBqt/kIRHoVCI5ubmQQ0vI44CAxGV1NRUPPbYY0hMTMSKFSsMfrPQE9OmTQOPx0NiYiLzWEBAAOLi4tjivY5hhYVlUKFpGqWlpUymzN9//40ZM2YgLi4OsbGxg5Ip097ejszMTIwaNcrgWTLqSKVSJlemoaEBdnZ2GiaPukTdpkbbYLRz587hkUceweeff45nnnnGqEUFuNtu/M033zCzczt37kR+fj68vLwMfXjDClZY+smmTZtw7NgxCAQCWFhYoLGxsdPvsHb/fYOmaZSXlyM5ORnJycm4ePEieDweM6zp5eWl84uVVCpFRkYGHBwcEBAQYDSi0hFi8lhTU4P6+nomvMzNzW3AA5klJSW4ffs2IiIitBaVS5cuISEhAR999BFefPFFoxcVQmJiIrZt24aqqioEBQXhs88+w+zZsw19WMMOVlj6yXvvvQcHBweUl5fjf//7XydhYe3+tYOmaVRXV2tkygQHBzMiM3HixAFfvNra2pCZmQlnZ+cBxQcMNh1jhC0sLHp0Eu6JW7duoaysbECGmhkZGYiNjcUHH3yAl19+ecicR5bBgxUWLfnhhx+wfv36TsLC2v0PHJqmUVtby2TKpKSkwN/fnxEZbURBLBYjMzMTXC4X/v7+Q/ZiqB5eJhQKYWJiwohMb+FlpaWlKC0tHZCoCAQCREdH46233sKrr746ZM8ji35hhUVLuhMW1u5ft9A0jYaGBiZT5tSpU/D29mbs/vtSI2ltbUVmZibGjBmjk5WPsUBRFBoaGhiRIQOZXC4XTk5OGl1uJKSMx+NpfXOTl5eHqKgobNiwAW+99dawOY8suscobPOHE6zdv27hcDhwcnLCqlWrsGrVKjQ1NTGZMg899BA8PDwYkQkLC+skMs3NzeDz+fD09ISPj8+wuhiamJjA2dkZzs7OmDx5MhNeVlRUBLlczgxkSqVS3Lp1a0CiUlhYiJiYGKxZs4YVFZZeMc7K5SDz/vvvg8Ph9PgPCSDrC1196dhBLN1gb2+PJ554AklJSaipqcGWLVtQUVGB6OhoBAUFYePGjbh8+TKUSiXOnDmDN954A97e3pgwYcKwPv8cDgcODg7w8/PDrFmzcM8998DGxgbFxcW4fv06Ro0ahdbWVshksn4/97Vr1xATE4NnnnmG+a6wsPQEu2JB/+3+e4K1+x88Ro0ahaVLl2Lp0qVoa2tjMmWWLFkCKysrNDU14amnnsK4ceMMfaiDCgkva2xsBEVRmDp1KiQSCe7cuYOCggI4OjoydZneBjJLSkoQExODxx9/HJs3bzbaLjoW44KtsWhJb8V71u7fcBw7dgxLly7FtGnTkJubC1NTUyxatAgJCQmYNWvWiMiUKS8vx7Vr1zolf0okEohEItTU1KCpqanH8LKysjIsXLgQMTEx+PLLL1lRYekzrLD0k9u3b6O+vh5HjhzB9u3bce7cOQDAxIkTMWrUKNbu38CcPn0acXFx+O677/DEE09ALpcjLS0NSUlJOHToEBQKBWJiYhAXFzdsM2WIqISFhcHR0bHb32tvb2cGMuvr6zFq1CiUlZXB19cXbm5uWLhwIebPn49vvvmGFRWWfsEKSz9ZtWoV9uzZ0+nx1NRUPPDAAwBYu39DUlVVhczMTMTExHT6mUKhwPnz55ngstbWVkRHRyMuLm7YZMpUVFSguLi4V1HpCAkve+edd5CUlIRRo0Zh7Nix2LlzJ+699162rsLSL1hhYRmRKJVKXLp0icmUqa+vZzJlFixYMCQzZSorK1FUVITQ0FA4OTlp9RxCoRAxMTFwd3cHl8vFsWPHYG9vjzfeeANr1qzR8RH3DdbtYujBCgvLiIeiKGRkZDAmmZWVlViwYAGTKaPtMOFgUlVVhcLCwgGJSm1tLaKjozF58mT88ssvMDc3R3t7O1JSUmBubo558+bp+Kj7But2MfRghYWFRQ2KopCdnc2IzK1bt/DQQw8hLi4O0dHR/bZQGQyIqISEhMDZ2Vmr52hoaEBMTAw8PT2xf/9+o7zTZ90uhg5sRY6FRQ0TExOEhYVh06ZNyM/Px9WrVxEREYGvvvoK3t7eWLx4Mfbs2YPa2lqjCC6rrq4esKg0NTUhLi4OHh4e+P33341SVHri0qVLCAoKYkQFACIjIxkXa5bBhxUWFpZu4HA4CAoKwvvvvw+BQIDc3FzMmTMH//vf/+Dr64tFixZh586dqKmpMYjI1NTUID8/H8HBwVqLSktLCxYvXgxHR0ckJycPyQYT1u3C+GCFhYWlD3A4HPj7++Ott97C1atXUVxcjKioKPz222+YNGkSoqKikJiYiIqKikERGaFQiLy8PAQHB8PFxUWr5xCLxVi6dCksLS1x6NAhWFlZ6fgou4d1uxjesMIygkhMTISPjw+srKzA4/GYGRyW/sHhcDBhwgS89tpruHjxIkpKSrB48WIcOXIEAQEBmDdvHv7v//4PZWVlehEZoVCI3NxcTJ06Fa6urlo9h0QiwaOPPgqKonD06NFB74Jbu3YtCgsLe/wnKCioT8/l7u7eaWXCul0YFrZ4P0Ig6XmJiYm477778O2332LXrl0oKCiAp6enoQ9vWEDTNKqqqnDw4EEkJyczmTLx8fGIi4uDr6/vgO+gRSIRcnJyMHXqVHC5XK2eQyqV4vHHH0dzczNOnDgBe3v7AR3TYMG6XQwdWGEZIUybNg3h4eHYsWMH89iUKVMQHx/P5n3rAZIpQ0QmJSUFkydPZkRm8uTJ/RYZIipBQUFa34m3t7fjySefRHV1NU6fPt2vIUpDwbpdDD1YYRkByGQy2NjYYP/+/UhISGAeX7duHQQCAdLT0w14dMMfkilz+PBhJlNmwoQJjN1/YGBgr5YptbW1yMnJQWBgoNaiIpfL8dRTT6G0tBQpKSlaF/wHG9btYujBCssIoLKyEmPHjsWFCxcwc+ZM5vHNmzdjz549KC4uNuDRjTyamppw9OhRJCcn48SJExgzZgxiY2ORkJCA0NDQTiJTV1eH7OxsBAQEwN3dXau/qVAo8Oyzz6KgoACpqalab6OxsPQFtng/gui49cJ2zRgGe3t7PPnkk0hOTkZNTQ02bdqE8vJyREVFYerUqdi4cSOuXLkCiqJw+PBh/Pvf/8aUKVO0FhWlUokXX3wRubm5OHPmDCsqLHqHzWMZAbi4uMDU1LRT54xQKGS7ZgzMqFGj8Oijj+LRRx9FW1sbTpw4gaSkJCxevBjW1taor6/H2rVrtRYDpVKJl156CX///TfS0tK0FicWlv7ArlhGABYWFuDxeDh16pTG46dOndLYGmMxLDY2NkhISMBPP/2E33//HY2NjZgxYwZ2796NSZMmYd26dUhLS4NcLu/T81EUhQ0bNiA9PR2nT5/G2LFj9fwKWFhUsMIyQtiwYQN27dqF77//HoWFhXjllVdw+/Zt/POf/zT0obF04NKlS1iyZAm++uorpKamorq6Gnv37oWJiQmefvpp+Pr6YvXq1Th58mS3UcMURWHjxo04ceIETp8+DS8vr0F+FSwjGbZ4P4JITEzEtm3bUFVVhaCgIHz22WeYPXu2oQ+LpQMVFRU4e/Ysli1b1ulnCoUC586dYzJl2traEB0djdjYWMybNw9WVlagKArvvPMOfv/9d6SmpsLPz88Ar4JlJMMKCwvLEEWpVOLixYtMpkxjYyMiIyOhUChw4cIFpKamIiAgwNCHyTICYYWFhWUYQFEUrl69ih9//BG7du1CSkoKWz9jMRissLCwDDMoimIz6lkMCissLCwsLCw6hb2tYWFh0SmlpaV49tln4ePjA2tra/j6+uK9997r1MF2+/ZtLFq0CLa2tnBxccHLL7/cbZcby9CCHZBkYWHRKUVFRaAoCt9++y0mTpyIvLw8PP/88xCLxfj4448BqBoPoqOj4erqivPnzzM59TRNs8aRwwGahcUISU9Pp2NiYmgPDw8aAH3w4EGNn1MURb/33nu0h4cHbWVlRc+ZM4fOy8szzMGy9Mq2bdtoHx8f5v//+eeftImJCV1RUcE89uuvv9KWlpZ0U1OTIQ6RRYewW2EsRolYLEZISAi++uqrLn++bds2fPrpp/jqq69w9epVuLu7Y/78+WhpaRnkI2XpC01NTXBycmL+P5tTP7xht8JYjJKoqChERUV1+TOapvH555/j7bffxuLFiwEAe/bsgZubG3755Re88MILg3moLL1w8+ZNfPnll/jkk0+Yx9ic+uENu2JhGXLcunUL1dXVWLBgAfOYpaUl5syZg4sXLxrwyIY32uTUV1ZWYuHChVi6dCmee+45jZ+xOfXDF3bFwjLkIHe0He943dzcUFZWZohDGhGsXbsWjz/+eI+/4+3tzfzvyspKzJ07FzNmzMB3332n8Xvu7u64cuWKxmNsTv3wgRUWliELmy8zuLi4uMDFxaVPv1tRUYG5c+eCx+Nh9+7dnQY2Z8yYgU2bNqGqqorJqT958iQsLS3B4/F0fuwsgwu7FcYy5CCZImy+jHFSWVmJBx54AOPHj8fHH38MkUiE6upqjfdrwYIFCAgIwIoVK5CVlYUzZ87g1VdfxfPPP4/Ro0cb8OhZdAErLCxDDh8fH7i7u2vky8hkMqSnp7P+WEbAyZMncePGDaSkpGDcuHHw8PBg/iGYmpri2LFjsLKywn333YdHH30U8fHxzJwLy9CGtXRhMUpaW1tx48YNAEBYWBg+/fRTzJ07F05OTvD09MTWrVuxZcsWJgRr8+bNSEtLQ3FxMezs7Ax89CwsIxtWWFiMkrS0NMydO7fT4ytXrsQPP/wAmqbxwQcf4Ntvv0VDQwOmTZuGr7/+GkFBQQY4WhYWFnVYYWFhYWFh0SlsjYWFhYWFRaewwsLCwsLColNYYWFhYWFh0SmssLCwsLCw6BRWWFhYWFhYdAorLCwsemDLli245557YGdnBy6Xi/j4eBQXF2v8Dk3TeP/99zFmzBhYW1vjgQceQH5+voGOmIVFd7DCwsKiB9LT07FmzRpcvnwZp06dgkKhwIIFCyAWi5nfYTNlWIYr7BwLC8sgIBKJwOVykZ6ejtmzZ4OmaYwZMwbr16/HG2+8AQBob2+Hm5sbtm7dymbKsAxp2BULC8sg0NTUBABMiiKbKcMynGGFhYVFz9A0jQ0bNmDWrFmM5UxPmTJsgiLLUIfNY2Fh0TNr165FTk4Ozp8/3+lnbKYMy3CEXbGwsOiRl156CUeOHEFqairGjRvHPM5myrAMZ1hhYWHRAzRNY+3atUhOTkZKSgp8fHw0fs5myrAMZ9itMBYWPbBmzRr88ssvOHz4MOzs7JiVib29PaytrcHhcLB+/Xps3rwZkyZNYjJlbGxssHz5cgMfPQvLwGDbjVlY9EB3dZLdu3dj1apVAMBmyrAMW1hhYWFhYWHRKWyNhYWFhYVFp7DCwsLCwsKiU1hhYWFhYWHRKaywsLCwsLDoFFZYWFhYWFh0CissLCwsLCw6hRUWFhYWFhadwgoLCwsLC4tOYYWFhYWFhUWnsMLCwsLCwqJTWGFhYWFhYdEp/w9oQ0PC8fYKeAAAAABJRU5ErkJggg==\n"
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -506,18 +516,78 @@
     "scipy.io.savemat(\"Lorenz63_fitRandomSample_RK4.mat\", {\"x\": results_test_np})"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Mean Squared Error Loss"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs={\"sigma\": 10., \"rho\": 28., \"beta\": 2.7},\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None,\n",
+    ")\n",
+    "\n",
+    "result_train = ode_solver(1000)"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs={\"sigma\": 10.0535, \"rho\": 28.0544, \"beta\": 2.6995},\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None,\n",
+    ")\n",
+    "\n",
+    "result_test = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tensor(0.0505, grad_fn=<MseLossBackward>)"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "loss = torch.nn.MSELoss()\n",
+    "loss(result_train,result_test)"
+   ]
   }
  ],
  "metadata": {
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  },
   "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)",
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -530,9 +600,6 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
   }
  },
  "nbformat": 4,

From 8371a8ad41d9c285a1bdd57eb8ba44c28f474cb7 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Fri, 17 Dec 2021 15:47:00 +0000
Subject: [PATCH 50/73] Add pre-commit fixes

---
 examples/ode/DuffingEquation/DuffingTest_DNN.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb b/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
index 44559572..3a821964 100644
--- a/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
@@ -729,4 +729,4 @@
       ]
     }
   ]
-}
\ No newline at end of file
+}

From 01471ce184841901a54f8e4c3956bc6eb3cf8c14 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 17 Dec 2021 21:56:25 -0500
Subject: [PATCH 51/73] Modified ode.py to use pytorch_lightning.Trainer

Currently facing an error
RuntimeError: Trying to backward through the graph a second time, but the saved intermediate results have already been freed. Specify retain_graph=True when calling backward the first time.
---
 .../Cos_wt_fitRandomSample.ipynb              | 709 ---------------
 .../Cos_wt_sin_dataset_fitRandomSample.ipynb  | 700 ---------------
 .../ode/DuffingEquation/DuffingTest_DNN.ipynb | 732 ----------------
 .../ode/DuffingEquation/DuffingTest_fit.ipynb | 720 ----------------
 .../DuffingTest_fitRandomSample.ipynb         | 401 ---------
 .../DuffingTest_fitRandomSample_with_w.ipynb  | 400 ---------
 ...ffingTest_fitRandomSample_with_w_RK4.ipynb | 467 ----------
 .../DuffingTest_fit_with_w.ipynb              | 714 ---------------
 examples/ode/DuffingEquation/Duffing_fit.mat  | Bin 120184 -> 0 bytes
 .../Duffing_fitRandomSample.mat               | Bin 120184 -> 0 bytes
 .../a_Cos_wt_fitRandomSample.ipynb            | 813 -----------------
 ...a_Cos_wt_sin_dataset_fitRandomSample.ipynb | 778 -----------------
 examples/ode/README.md                        |   4 +-
 ...tRandomSample_RK4.ipynb => SEIRTest.ipynb} | 247 +++---
 examples/ode/SEIR/SEIRTest_fit.ipynb          | 802 -----------------
 .../ode/SEIR/SEIRTest_fitRandomSample.ipynb   | 441 ----------
 examples/ode/SEIR/SEIR_fit.mat                | Bin 160184 -> 0 bytes
 examples/ode/SEIR/SEIR_fitRandomSample.mat    | Bin 160184 -> 0 bytes
 .../ode/SEIR/SEIR_fitRandomSample_RK4.mat     | Bin 160184 -> 0 bytes
 examples/ode/lorenz63/Lorenz63Test.ipynb      | 454 ++++++++++
 examples/ode/lorenz63/Lorenz63Train_fit.ipynb | 814 ------------------
 .../Lorenz63Train_fitRandomSample.ipynb       | 411 ---------
 .../Lorenz63Train_fitRandomSample_RK4.ipynb   | 607 -------------
 ...nz63_Euler_Train_fitRandomSample_RK4.ipynb | 704 ---------------
 examples/ode/lorenz63/Lorenz63_fit.mat        | Bin 120184 -> 0 bytes
 .../ode/lorenz63/Lorenz63_fitRandomSample.mat | Bin 120184 -> 0 bytes
 .../lorenz63/Lorenz63_fitRandomSample_RK4.mat | Bin 120184 -> 0 bytes
 torchts/nn/models/ode.py                      | 136 +--
 torchts/utils/data.py                         |   9 +
 29 files changed, 607 insertions(+), 10456 deletions(-)
 delete mode 100644 examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb
 delete mode 100644 examples/ode/DuffingEquation/Cos_wt_sin_dataset_fitRandomSample.ipynb
 delete mode 100644 examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
 delete mode 100644 examples/ode/DuffingEquation/DuffingTest_fit.ipynb
 delete mode 100644 examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
 delete mode 100644 examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb
 delete mode 100644 examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
 delete mode 100644 examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb
 delete mode 100644 examples/ode/DuffingEquation/Duffing_fit.mat
 delete mode 100644 examples/ode/DuffingEquation/Duffing_fitRandomSample.mat
 delete mode 100644 examples/ode/DuffingEquation/a_Cos_wt_fitRandomSample.ipynb
 delete mode 100644 examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb
 rename examples/ode/SEIR/{SEIRTest_fitRandomSample_RK4.ipynb => SEIRTest.ipynb} (68%)
 delete mode 100644 examples/ode/SEIR/SEIRTest_fit.ipynb
 delete mode 100644 examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
 delete mode 100644 examples/ode/SEIR/SEIR_fit.mat
 delete mode 100644 examples/ode/SEIR/SEIR_fitRandomSample.mat
 delete mode 100644 examples/ode/SEIR/SEIR_fitRandomSample_RK4.mat
 create mode 100644 examples/ode/lorenz63/Lorenz63Test.ipynb
 delete mode 100644 examples/ode/lorenz63/Lorenz63Train_fit.ipynb
 delete mode 100644 examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
 delete mode 100644 examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb
 delete mode 100644 examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb
 delete mode 100644 examples/ode/lorenz63/Lorenz63_fit.mat
 delete mode 100644 examples/ode/lorenz63/Lorenz63_fitRandomSample.mat
 delete mode 100644 examples/ode/lorenz63/Lorenz63_fitRandomSample_RK4.mat

diff --git a/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb b/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb
deleted file mode 100644
index 0c4f4c32..00000000
--- a/examples/ode/DuffingEquation/Cos_wt_fitRandomSample.ipynb
+++ /dev/null
@@ -1,709 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "import numpy as np\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Duffing equation: Second order ODE system\n",
-    "dt = 0.01\n",
-    "\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return torch.cos(coeffs[\"w\"]*prev_val[\"t\"])\n",
-    "\n",
-    "def t_prime(prev_val, coeffs):\n",
-    "    return 1\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"t\": t_prime}\n",
-    "\n",
-    "# Initial conditions [0,0,0]\n",
-    "ode_init = {\"x\": 0, \"t\": 0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"w\": 5.}\n"
-   ]
-  },
-  {
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000,  0.0000],\n",
-       "        [ 0.0100,  0.0100],\n",
-       "        [ 0.0200,  0.0200],\n",
-       "        ...,\n",
-       "        [-0.0806,  9.9701],\n",
-       "        [-0.0713,  9.9801],\n",
-       "        [-0.0619,  9.9901]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 5
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T01:11:13.888998</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mfccf140a16\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#mfccf140a16\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#mfccf140a16\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#mfccf140a16\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#mfccf140a16\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#mfccf140a16\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#mfccf140a16\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m2cf0e38ffd\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"261.217017\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.20 -->\n      <g transform=\"translate(7.2 265.016235)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"230.976808\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.15 -->\n      <g transform=\"translate(7.2 234.776026)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"200.736598\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.10 -->\n      <g transform=\"translate(7.2 204.535817)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"170.496389\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −0.05 -->\n      <g transform=\"translate(7.2 174.295608)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"140.25618\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055399)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"110.015971\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.05 -->\n      <g transform=\"translate(15.579688 113.81519)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"79.775762\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.10 -->\n      <g transform=\"translate(15.579688 83.574981)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"49.535553\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.15 -->\n      <g transform=\"translate(15.579688 53.334772)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2cf0e38ffd\" y=\"19.295344\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 0.20 -->\n      <g transform=\"translate(15.579688 23.094563)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p4a3d6c6de5)\" d=\"M 61.07804 140.25618 \nL 64.002816 87.642382 \nL 65.627692 62.331065 \nL 66.927593 45.5043 \nL 67.90252 35.331946 \nL 68.877446 27.515961 \nL 69.527395 23.703386 \nL 70.177345 21.055369 \nL 70.827295 19.598362 \nL 71.15227 19.321505 \nL 71.477245 19.346928 \nL 71.80222 19.674561 \nL 72.127194 20.303582 \nL 72.777144 22.458762 \nL 73.427094 25.790928 \nL 74.077044 30.266789 \nL 75.051968 39.024179 \nL 76.026893 50.055017 \nL 77.326792 67.864441 \nL 78.951668 94.090085 \nL 81.226492 135.226477 \nL 84.476241 193.783775 \nL 86.101115 218.956325 \nL 87.401015 235.636883 \nL 88.375939 245.682778 \nL 89.350864 253.361028 \nL 90.000814 257.077027 \nL 90.650763 259.6258 \nL 91.300713 260.981879 \nL 91.625688 261.207952 \nL 91.950663 261.131708 \nL 92.275638 260.753336 \nL 92.600613 260.073792 \nL 93.250563 257.818693 \nL 93.900514 254.38896 \nL 94.550464 249.818849 \nL 95.525389 240.928383 \nL 96.500313 229.777033 \nL 97.800213 211.831132 \nL 99.425087 185.481212 \nL 101.699911 144.270199 \nL 104.94966 85.819048 \nL 106.574534 60.787026 \nL 107.874434 44.253855 \nL 108.849359 34.335133 \nL 109.824283 26.795167 \nL 110.474233 23.175987 \nL 111.124183 20.726646 \nL 111.449158 19.948769 \nL 111.774133 19.471595 \nL 112.099107 19.296324 \nL 112.424082 19.423389 \nL 112.749057 19.852473 \nL 113.074032 20.582504 \nL 113.723982 22.937351 \nL 114.373932 26.464407 \nL 115.023881 31.128436 \nL 115.998806 40.151364 \nL 116.973731 51.422424 \nL 118.27363 69.503537 \nL 119.898505 95.97587 \nL 122.498304 143.306006 \nL 125.423077 195.599475 \nL 127.047956 220.489188 \nL 128.347855 236.873792 \nL 129.32278 246.664648 \nL 130.297705 254.065798 \nL 130.947654 257.58788 \nL 131.597604 259.937616 \nL 131.922579 260.665061 \nL 132.247554 261.09154 \nL 132.572529 261.216 \nL 132.897504 261.038125 \nL 133.222478 260.558356 \nL 133.547453 259.777892 \nL 134.197403 257.323441 \nL 134.847353 253.699304 \nL 135.497303 248.941674 \nL 136.472227 239.786923 \nL 137.447152 228.396927 \nL 138.747051 210.181866 \nL 140.371926 183.588966 \nL 142.971725 136.190253 \nL 145.571524 89.433465 \nL 147.196398 63.856881 \nL 148.496298 46.748581 \nL 149.471222 36.331822 \nL 150.446147 28.248975 \nL 151.096097 24.248962 \nL 151.746047 21.408047 \nL 152.395996 19.754626 \nL 152.720971 19.37885 \nL 153.045946 19.305211 \nL 153.370921 19.533888 \nL 153.695896 20.064297 \nL 154.345846 22.024307 \nL 154.995795 25.165647 \nL 155.645745 29.456927 \nL 156.62067 37.953159 \nL 157.595594 48.746893 \nL 158.895494 66.286696 \nL 160.520368 92.264791 \nL 162.795192 133.247384 \nL 166.044941 191.999667 \nL 167.669816 217.441009 \nL 168.969715 234.405436 \nL 169.94464 244.697149 \nL 170.919564 252.643344 \nL 171.569514 256.547321 \nL 172.219464 259.289363 \nL 172.869414 260.842062 \nL 173.194389 261.16709 \nL 173.519363 261.189909 \nL 173.844338 260.910466 \nL 174.169313 260.329444 \nL 174.819263 258.269244 \nL 175.469213 255.029896 \nL 176.119163 250.643761 \nL 177.094087 242.013255 \nL 178.069012 231.097504 \nL 179.368911 213.418781 \nL 180.993786 187.312806 \nL 183.26861 146.24993 \nL 186.518359 87.595712 \nL 188.143233 62.291429 \nL 189.443133 45.472072 \nL 190.418057 35.306134 \nL 191.39299 27.497134 \nL 192.042955 23.689489 \nL 192.69292 21.046573 \nL 193.342885 19.594784 \nL 193.667868 19.320567 \nL 193.992851 19.348632 \nL 194.317833 19.678914 \nL 194.642816 20.310585 \nL 195.292781 22.47101 \nL 195.942746 25.80834 \nL 196.592712 30.289221 \nL 197.56766 39.05374 \nL 198.542607 50.091085 \nL 199.842538 67.907952 \nL 201.467451 94.140478 \nL 203.742329 135.281103 \nL 206.992156 193.832423 \nL 208.617069 218.996853 \nL 209.916999 235.668778 \nL 210.891947 245.707165 \nL 211.866895 253.377178 \nL 212.51686 257.087373 \nL 213.166826 259.630153 \nL 213.816791 260.980112 \nL 214.141774 261.203094 \nL 214.466756 261.12375 \nL 214.791739 260.742278 \nL 215.116721 260.059634 \nL 215.766687 257.798406 \nL 216.416652 254.362662 \nL 217.066617 249.78672 \nL 218.041565 240.887972 \nL 219.016513 229.729078 \nL 220.316443 211.774584 \nL 221.941357 185.416783 \nL 224.216235 144.201046 \nL 227.466061 85.757075 \nL 229.090974 60.734548 \nL 230.390905 44.211398 \nL 231.365853 34.301364 \nL 232.340801 26.770897 \nL 232.990766 23.158413 \nL 233.640731 20.715958 \nL 233.965714 19.941577 \nL 234.290696 19.467927 \nL 234.615679 19.296198 \nL 234.940662 19.426813 \nL 235.265644 19.859448 \nL 235.590627 20.593012 \nL 236.240592 22.954879 \nL 236.890557 26.488803 \nL 237.540523 31.159474 \nL 238.515471 40.19182 \nL 239.490418 51.471433 \nL 240.790349 69.562256 \nL 242.415262 96.043435 \nL 245.015123 143.378727 \nL 247.614984 190.220602 \nL 249.239897 215.9206 \nL 250.539828 233.160713 \nL 251.514776 243.692252 \nL 252.489724 251.900686 \nL 253.139689 255.989037 \nL 253.789654 258.920941 \nL 254.439619 260.667107 \nL 254.764602 261.089612 \nL 255.089585 261.210079 \nL 255.414567 261.028202 \nL 255.73955 260.544441 \nL 256.064532 259.760002 \nL 256.714498 257.297675 \nL 257.364463 253.665823 \nL 258.014428 248.900749 \nL 258.989376 239.735463 \nL 259.964324 228.335923 \nL 261.264254 210.110069 \nL 262.889168 183.507414 \nL 265.489029 136.103205 \nL 268.08889 89.35427 \nL 269.713803 63.789054 \nL 271.013733 46.692985 \nL 271.988681 36.286914 \nL 272.963629 28.215828 \nL 273.613594 24.224106 \nL 274.26356 21.391771 \nL 274.913525 19.74711 \nL 275.238507 19.375768 \nL 275.56349 19.306571 \nL 275.888473 19.539692 \nL 276.213455 20.074553 \nL 276.863421 22.043368 \nL 277.513386 25.19336 \nL 278.163351 29.493049 \nL 279.138299 38.001231 \nL 280.113247 48.805897 \nL 281.413177 66.358222 \nL 283.038091 92.347952 \nL 285.312969 133.337983 \nL 288.562795 192.081345 \nL 290.187708 217.509943 \nL 291.487639 234.460753 \nL 292.462587 244.740579 \nL 293.437535 252.673751 \nL 294.0875 256.568545 \nL 294.737465 259.301106 \nL 295.38743 260.844126 \nL 295.712413 261.164269 \nL 296.037396 261.182195 \nL 296.362378 260.897839 \nL 296.687361 260.311933 \nL 297.337326 258.242027 \nL 297.987291 254.993171 \nL 298.637257 250.597816 \nL 299.612204 241.954206 \nL 300.587152 231.026523 \nL 301.887083 213.334155 \nL 303.511996 187.215577 \nL 305.786874 146.144828 \nL 309.036701 87.500821 \nL 310.661614 62.210679 \nL 311.961544 45.406355 \nL 312.936492 35.253485 \nL 313.91144 27.458805 \nL 314.561405 23.661208 \nL 315.211371 21.028612 \nL 315.861336 19.587331 \nL 316.186318 19.318396 \nL 316.511301 19.351759 \nL 316.836284 19.687322 \nL 317.161266 20.324257 \nL 317.811232 22.4951 \nL 318.461197 25.842596 \nL 319.111162 30.3333 \nL 320.08611 39.111698 \nL 321.061042 50.161633 \nL 322.360973 67.992731 \nL 323.985886 94.238238 \nL 326.260764 135.38673 \nL 329.510591 193.927192 \nL 331.135504 219.07709 \nL 332.435434 235.733747 \nL 333.410382 245.758959 \nL 334.38533 253.414624 \nL 335.035295 257.11478 \nL 335.685261 259.647241 \nL 336.335226 260.986709 \nL 336.660209 261.204419 \nL 336.985191 261.119794 \nL 337.310174 260.733059 \nL 337.635156 260.045169 \nL 338.285122 257.773578 \nL 338.935087 254.327713 \nL 339.585052 249.742001 \nL 340.56 240.829473 \nL 341.534948 229.658116 \nL 342.834878 211.689522 \nL 344.459792 185.318937 \nL 347.059653 138.048361 \nL 349.984496 85.66295 \nL 351.609409 60.655122 \nL 352.90934 44.147357 \nL 353.884288 34.25058 \nL 354.859236 26.734505 \nL 355.509201 23.132088 \nL 356.159166 20.69997 \nL 356.484149 19.930834 \nL 356.809131 19.462448 \nL 357.134114 19.296 \nL 357.459097 19.431887 \nL 357.784079 19.869785 \nL 358.109062 20.608585 \nL 358.759027 22.980799 \nL 359.408992 26.524808 \nL 360.058958 31.205229 \nL 361.033906 40.251292 \nL 362.008853 51.543279 \nL 363.308784 69.648058 \nL 364.933697 96.141831 \nL 367.533558 143.484377 \nL 370.133419 190.316835 \nL 371.758332 216.003044 \nL 373.058263 233.228395 \nL 374.033211 243.747047 \nL 375.008159 251.941368 \nL 375.658124 256.019778 \nL 376.308089 258.941444 \nL 376.958054 260.677156 \nL 377.283037 261.094397 \nL 377.60802 261.209592 \nL 377.933002 261.022434 \nL 378.257985 260.53341 \nL 378.582967 259.743735 \nL 379.232933 257.27108 \nL 379.882898 253.62917 \nL 380.532863 248.854399 \nL 381.507811 239.675477 \nL 382.482759 228.263645 \nL 383.782689 210.023975 \nL 385.407603 183.408932 \nL 385.732585 177.707335 \nL 385.732585 177.707335 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p4a3d6c6de5\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,1], result_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"w\": 1.}\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(2.4146e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(0.5564, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(2.7086e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(0.2693, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(1.7028e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(1.4094, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(1.5383e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(2.2638, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(7.2113e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(0.5720, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(1.9744e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-2.6869, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(1.6727e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-4.4457, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(1.4529e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-4.7190, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(1.0907e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-5.0503, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(4.2784e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-5.0409, requires_grad=True)}\n",
-      "Epoch: 10\t Loss: tensor(5.4715e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-4.8267, requires_grad=True)}\n",
-      "Epoch: 11\t Loss: tensor(1.2727e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-4.9724, requires_grad=True)}\n",
-      "Epoch: 12\t Loss: tensor(1.8102e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-5.1520, requires_grad=True)}\n",
-      "Epoch: 13\t Loss: tensor(4.1873e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-4.1311, requires_grad=True)}\n",
-      "Epoch: 14\t Loss: tensor(5.1780e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-3.2711, requires_grad=True)}\n",
-      "Epoch: 15\t Loss: tensor(7.5392e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-6.1800, requires_grad=True)}\n",
-      "Epoch: 16\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-8.5473, requires_grad=True)}\n",
-      "Epoch: 17\t Loss: tensor(3.2150e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-8.8546, requires_grad=True)}\n",
-      "Epoch: 18\t Loss: tensor(1.3441e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-8.1203, requires_grad=True)}\n",
-      "Epoch: 19\t Loss: tensor(3.3458e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-6.4708, requires_grad=True)}\n",
-      "Epoch: 20\t Loss: tensor(4.0574e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-6.2895, requires_grad=True)}\n",
-      "Epoch: 21\t Loss: tensor(3.1946e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-6.7088, requires_grad=True)}\n",
-      "Epoch: 22\t Loss: tensor(3.2806e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-6.8905, requires_grad=True)}\n",
-      "Epoch: 23\t Loss: tensor(9.1959e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-7.4480, requires_grad=True)}\n",
-      "Epoch: 24\t Loss: tensor(9.4406e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-8.0897, requires_grad=True)}\n",
-      "Epoch: 25\t Loss: tensor(8.6219e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-8.7295, requires_grad=True)}\n",
-      "Epoch: 26\t Loss: tensor(7.9796e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-9.0427, requires_grad=True)}\n",
-      "Epoch: 27\t Loss: tensor(3.6575e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-8.8274, requires_grad=True)}\n",
-      "Epoch: 28\t Loss: tensor(2.0644e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-9.0285, requires_grad=True)}\n",
-      "Epoch: 29\t Loss: tensor(1.6546e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-9.2313, requires_grad=True)}\n",
-      "Epoch: 30\t Loss: tensor(9.5939e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-9.3593, requires_grad=True)}\n",
-      "Epoch: 31\t Loss: tensor(8.6223e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-10.0947, requires_grad=True)}\n",
-      "Epoch: 32\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-10.4871, requires_grad=True)}\n",
-      "Epoch: 33\t Loss: tensor(4.8011e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-10.4140, requires_grad=True)}\n",
-      "Epoch: 34\t Loss: tensor(6.1366e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-10.6405, requires_grad=True)}\n",
-      "Epoch: 35\t Loss: tensor(6.7959e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-11.0156, requires_grad=True)}\n",
-      "Epoch: 36\t Loss: tensor(5.0571e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-10.9378, requires_grad=True)}\n",
-      "Epoch: 37\t Loss: tensor(6.7418e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-10.7958, requires_grad=True)}\n",
-      "Epoch: 38\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-10.4174, requires_grad=True)}\n",
-      "Epoch: 39\t Loss: tensor(1.7927e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-10.1750, requires_grad=True)}\n",
-      "Epoch: 40\t Loss: tensor(4.7017e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-10.2568, requires_grad=True)}\n",
-      "Epoch: 41\t Loss: tensor(2.1444e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-10.2641, requires_grad=True)}\n",
-      "Epoch: 42\t Loss: tensor(7.2486e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-10.3886, requires_grad=True)}\n",
-      "Epoch: 43\t Loss: tensor(2.4303e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-10.7213, requires_grad=True)}\n",
-      "Epoch: 44\t Loss: tensor(1.3222e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-11.0495, requires_grad=True)}\n",
-      "Epoch: 45\t Loss: tensor(1.6743e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-11.0677, requires_grad=True)}\n",
-      "Epoch: 46\t Loss: tensor(1.1128e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-10.8657, requires_grad=True)}\n",
-      "Epoch: 47\t Loss: tensor(1.3999e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-10.7853, requires_grad=True)}\n",
-      "Epoch: 48\t Loss: tensor(4.5793e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-11.0173, requires_grad=True)}\n",
-      "Epoch: 49\t Loss: tensor(5.3178e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-11.3179, requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.5},\n",
-    "    max_epochs=50,\n",
-    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'w': Parameter containing:\n",
-       " tensor(-11.3179, requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 20
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt=1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000e+00,  0.0000e+00],\n",
-       "        [ 1.0000e-02,  1.0000e-02],\n",
-       "        [ 1.9936e-02,  2.0000e-02],\n",
-       "        ...,\n",
-       "        [-2.2203e-02,  9.9701e+00],\n",
-       "        [-1.2530e-02,  9.9801e+00],\n",
-       "        [-2.6317e-03,  9.9901e+00]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 21
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(1000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.920872pt\" version=\"1.1\" viewBox=\"0 0 415.527812 297.920872\" width=\"415.527812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T01:27:28.480656</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.920872 \nL 415.527812 297.920872 \nL 415.527812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 51.207813 274.042747 \nL 408.327813 274.042747 \nL 408.327813 7.930747 \nL 51.207813 7.930747 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mf2da3b7b22\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"67.44054\" xlink:href=\"#mf2da3b7b22\" y=\"274.042747\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(64.25929 288.641184)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"132.435578\" xlink:href=\"#mf2da3b7b22\" y=\"274.042747\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(129.254328 288.641184)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"197.430615\" xlink:href=\"#mf2da3b7b22\" y=\"274.042747\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(194.249365 288.641184)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"262.425653\" xlink:href=\"#mf2da3b7b22\" y=\"274.042747\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(259.244403 288.641184)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"327.420691\" xlink:href=\"#mf2da3b7b22\" y=\"274.042747\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(324.239441 288.641184)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"392.415729\" xlink:href=\"#mf2da3b7b22\" y=\"274.042747\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(386.053229 288.641184)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"md8b914ac83\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"250.463128\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.075 -->\n      <g transform=\"translate(7.2 254.262347)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"306.445312\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"216.253998\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.050 -->\n      <g transform=\"translate(7.2 220.053217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"306.445312\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"182.044868\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.025 -->\n      <g transform=\"translate(7.2 185.844087)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"306.445312\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"147.835738\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.000 -->\n      <g transform=\"translate(15.579688 151.634957)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"113.626608\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.025 -->\n      <g transform=\"translate(15.579688 117.425827)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"79.417478\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.050 -->\n      <g transform=\"translate(15.579688 83.216697)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"45.208349\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.075 -->\n      <g transform=\"translate(15.579688 49.007567)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#md8b914ac83\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.100 -->\n      <g transform=\"translate(15.579688 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p5b55456040)\" d=\"M 67.44054 147.835738 \nL 69.065416 82.013771 \nL 70.040341 50.206051 \nL 70.690291 34.580793 \nL 71.340241 24.384689 \nL 71.665217 21.49678 \nL 71.990192 20.137945 \nL 72.315167 20.325565 \nL 72.640143 22.057236 \nL 72.965118 25.310803 \nL 73.615069 36.198167 \nL 74.26502 52.432165 \nL 75.239946 84.931888 \nL 76.86482 151.144773 \nL 78.16472 202.847825 \nL 79.139644 233.939654 \nL 79.789594 248.944457 \nL 80.439544 258.441666 \nL 80.764519 260.961745 \nL 81.089493 261.946747 \nL 81.414468 261.384048 \nL 81.739443 259.280856 \nL 82.064418 255.664088 \nL 82.714368 244.093703 \nL 83.364318 227.263225 \nL 84.339243 194.096022 \nL 85.964118 127.542049 \nL 87.264017 76.31309 \nL 88.238942 45.960479 \nL 88.888891 31.587385 \nL 89.538841 22.796178 \nL 89.863816 20.645794 \nL 90.188791 20.035361 \nL 90.513766 20.97269 \nL 90.838741 23.445801 \nL 91.163716 27.423027 \nL 91.813665 39.667697 \nL 92.463615 57.082004 \nL 93.43854 90.891753 \nL 97.013263 229.267467 \nL 97.663213 245.578122 \nL 98.313163 256.552939 \nL 98.638138 259.852915 \nL 98.963113 261.631993 \nL 99.288088 261.867398 \nL 99.613063 260.556133 \nL 99.938037 257.714978 \nL 100.587989 247.60749 \nL 101.237939 232.060618 \nL 102.212863 200.342773 \nL 103.512763 148.257741 \nL 105.462612 70.807147 \nL 106.437537 42.000859 \nL 107.087487 28.923116 \nL 107.737436 21.563181 \nL 108.062411 20.156765 \nL 108.387386 20.29655 \nL 108.712361 21.980763 \nL 109.037336 25.18785 \nL 109.687286 35.987536 \nL 110.337235 52.144601 \nL 111.31216 84.557437 \nL 112.937034 150.723237 \nL 114.236934 202.483962 \nL 115.211859 233.668392 \nL 115.861808 248.752952 \nL 116.511758 258.339705 \nL 116.836733 260.906804 \nL 117.161708 261.939528 \nL 117.486683 261.424634 \nL 117.811658 259.368749 \nL 118.136633 255.798164 \nL 118.786582 244.314427 \nL 119.436532 227.559316 \nL 120.411457 194.475872 \nL 122.036331 127.962617 \nL 123.336231 76.671041 \nL 124.311155 46.22286 \nL 124.961105 31.768593 \nL 125.611055 22.886945 \nL 125.93603 20.689307 \nL 126.261005 20.031079 \nL 126.585979 20.920664 \nL 126.910954 23.346674 \nL 127.235929 27.278094 \nL 127.885879 39.437267 \nL 128.535829 56.777802 \nL 129.510753 90.50701 \nL 133.085481 228.977661 \nL 133.735431 245.364861 \nL 134.38538 256.427081 \nL 134.710355 259.773464 \nL 135.03533 261.59997 \nL 135.360305 261.883211 \nL 135.68528 260.619577 \nL 136.010255 257.825218 \nL 136.660205 247.80656 \nL 137.310154 232.338358 \nL 138.285079 200.710868 \nL 139.584978 148.679793 \nL 141.534828 71.151966 \nL 142.509752 42.244441 \nL 143.159702 29.082894 \nL 143.809652 21.630978 \nL 144.134627 20.176982 \nL 144.459602 20.268921 \nL 144.784577 21.905655 \nL 145.109551 25.066202 \nL 145.759501 35.778047 \nL 146.409451 51.857966 \nL 147.384376 84.18351 \nL 149.00925 150.301423 \nL 150.634124 213.51739 \nL 151.609049 241.621714 \nL 152.258999 254.121822 \nL 152.583974 258.236122 \nL 152.908949 260.850201 \nL 153.233923 261.930628 \nL 153.558898 261.463559 \nL 153.883873 259.454989 \nL 154.208848 255.930619 \nL 154.858798 244.533643 \nL 155.508748 227.854108 \nL 156.483672 194.854794 \nL 158.108547 128.383074 \nL 159.408446 77.029522 \nL 160.383371 46.48617 \nL 161.03332 31.950912 \nL 161.68327 22.978946 \nL 162.008245 20.734114 \nL 162.33322 20.028102 \nL 162.658195 20.869934 \nL 162.98317 23.248841 \nL 163.308145 27.134383 \nL 163.958094 39.207948 \nL 164.608044 56.474548 \nL 165.582969 90.122802 \nL 169.157692 228.686713 \nL 169.807642 245.150284 \nL 170.457592 256.299835 \nL 170.782567 259.692617 \nL 171.107542 261.56656 \nL 171.432517 261.897637 \nL 171.757492 260.681655 \nL 172.082466 257.934184 \nL 172.732416 248.004529 \nL 173.382366 232.615176 \nL 174.357291 201.078478 \nL 175.65719 149.102012 \nL 177.607039 71.497836 \nL 178.581964 42.48943 \nL 179.231914 29.244171 \nL 179.881863 21.700387 \nL 180.206838 20.198789 \nL 180.531813 20.242852 \nL 180.856788 21.832016 \nL 181.181763 24.945992 \nL 181.831713 35.569852 \nL 182.481663 51.57236 \nL 183.456587 83.810211 \nL 185.081462 149.879408 \nL 186.706336 213.178219 \nL 187.681261 241.386176 \nL 188.33121 253.97122 \nL 188.656185 258.131163 \nL 188.98116 260.79219 \nL 189.306135 261.920311 \nL 189.63111 261.501087 \nL 189.956085 259.539884 \nL 190.28106 256.06179 \nL 190.931009 244.751716 \nL 191.580959 228.147998 \nL 192.555884 195.233267 \nL 194.180758 128.803915 \nL 195.480658 77.388981 \nL 196.455582 46.750784 \nL 197.105532 32.134669 \nL 197.75549 23.072507 \nL 198.080472 20.780492 \nL 198.405455 20.026747 \nL 198.730437 20.820915 \nL 199.05542 23.152844 \nL 199.380403 26.992681 \nL 200.030368 38.980842 \nL 200.680333 56.173741 \nL 201.655281 89.741286 \nL 203.605177 169.931402 \nL 204.905107 218.391425 \nL 205.555073 237.280369 \nL 206.205038 251.256424 \nL 206.855003 259.606488 \nL 207.179986 261.526728 \nL 207.504968 261.90459 \nL 207.829951 260.735179 \nL 208.154934 258.033474 \nL 208.479916 253.834035 \nL 209.129882 241.175392 \nL 209.779847 223.405128 \nL 210.754795 189.208973 \nL 214.329604 51.320969 \nL 214.979569 35.386809 \nL 215.629534 24.840809 \nL 215.954517 21.768103 \nL 216.279499 20.221035 \nL 216.604482 20.219393 \nL 216.929465 21.763199 \nL 217.254447 24.832703 \nL 217.904412 35.372658 \nL 218.554378 51.301445 \nL 219.529326 83.45564 \nL 221.154239 149.47796 \nL 222.779152 212.854091 \nL 223.7541 241.15909 \nL 224.404065 253.823544 \nL 224.729048 258.026113 \nL 225.05403 260.73104 \nL 225.379013 261.903723 \nL 225.703996 261.529195 \nL 226.028978 259.612208 \nL 226.353961 256.17728 \nL 227.003926 244.948319 \nL 227.653891 228.415227 \nL 228.628839 195.579294 \nL 230.253752 129.189851 \nL 231.553683 77.718966 \nL 232.528631 46.99406 \nL 233.178596 32.30403 \nL 233.828561 23.1594 \nL 234.153544 20.824239 \nL 234.478526 20.026787 \nL 234.803509 20.77725 \nL 235.128492 23.066022 \nL 235.453474 26.863825 \nL 236.10344 38.773412 \nL 236.753405 55.89832 \nL 237.728353 89.391078 \nL 239.678249 169.55558 \nL 240.978179 218.093677 \nL 241.628144 237.045677 \nL 242.27811 251.096779 \nL 242.928075 259.530045 \nL 243.253057 261.493625 \nL 243.57804 261.915193 \nL 243.903023 260.789356 \nL 244.228005 258.130572 \nL 244.552988 253.972821 \nL 245.202953 241.391712 \nL 245.852918 223.687946 \nL 246.827866 189.563603 \nL 250.402675 51.581097 \nL 251.05264 35.576102 \nL 251.702606 24.94956 \nL 252.027588 21.834218 \nL 252.352571 20.243658 \nL 252.677554 20.198239 \nL 253.002536 21.698541 \nL 253.327519 24.725369 \nL 253.977484 35.184609 \nL 254.627449 51.042326 \nL 255.602397 83.115705 \nL 257.22731 149.092122 \nL 258.852224 212.542686 \nL 259.827171 240.941883 \nL 260.477137 253.683728 \nL 260.802119 257.927934 \nL 261.127102 260.675762 \nL 261.452085 261.89205 \nL 261.777067 261.561239 \nL 262.10205 259.68755 \nL 262.427032 256.294972 \nL 263.076998 245.145655 \nL 263.726963 228.68216 \nL 264.701911 195.924302 \nL 266.326824 129.575032 \nL 267.626754 78.049104 \nL 268.601702 47.23811 \nL 269.251668 32.474493 \nL 269.901633 23.247628 \nL 270.226615 20.869393 \nL 270.551598 20.028296 \nL 270.876581 20.735093 \nL 271.201563 22.980751 \nL 271.526546 26.736519 \nL 272.176511 38.567277 \nL 272.826477 55.623939 \nL 273.801424 89.041549 \nL 275.75132 169.179604 \nL 277.051251 217.795251 \nL 277.701216 236.810048 \nL 278.351181 250.935941 \nL 279.001146 259.452308 \nL 279.326129 261.459247 \nL 279.651112 261.924623 \nL 279.976094 260.842473 \nL 280.301077 258.226651 \nL 280.62606 254.110628 \nL 281.276025 241.607176 \nL 281.92599 223.970075 \nL 282.900938 189.917904 \nL 286.475747 51.842408 \nL 287.125712 35.766567 \nL 287.775677 25.059504 \nL 288.10066 21.901547 \nL 288.425643 20.267514 \nL 288.750625 20.178317 \nL 289.075608 21.635097 \nL 289.400591 24.619218 \nL 290.050556 34.997661 \nL 290.700521 50.784104 \nL 291.675469 82.776258 \nL 293.300382 148.706034 \nL 294.925295 212.230359 \nL 295.900243 240.723473 \nL 296.550208 253.542587 \nL 296.875191 257.828389 \nL 297.200174 260.619088 \nL 297.525156 261.878969 \nL 297.850139 261.591916 \nL 298.175121 259.761607 \nL 298.500104 256.411451 \nL 299.150069 245.342003 \nL 299.800035 228.94836 \nL 300.774982 196.268775 \nL 302.399896 129.960324 \nL 303.699826 78.379865 \nL 304.674774 47.483099 \nL 305.324739 32.646005 \nL 305.974704 23.336907 \nL 306.299687 20.915577 \nL 306.62467 20.030794 \nL 306.949652 20.693874 \nL 307.274635 22.896335 \nL 307.599618 26.609997 \nL 308.249583 38.36209 \nL 308.899548 55.350374 \nL 309.874496 88.692509 \nL 311.824392 168.8033 \nL 313.124322 217.496055 \nL 314.09927 244.335083 \nL 314.749235 255.808461 \nL 315.074218 259.373469 \nL 315.399201 261.423605 \nL 315.724183 261.932728 \nL 316.049166 260.894223 \nL 316.374149 258.321384 \nL 316.699131 254.24713 \nL 317.349096 241.821467 \nL 317.999062 224.251221 \nL 318.97401 190.271564 \nL 322.548818 52.104504 \nL 323.198784 35.958133 \nL 323.848749 25.170702 \nL 324.173732 21.97017 \nL 324.498714 20.292686 \nL 324.823697 20.159711 \nL 325.14868 21.572958 \nL 325.473662 24.514341 \nL 326.123627 34.811855 \nL 326.773593 50.526871 \nL 327.748525 82.437408 \nL 329.048456 134.636223 \nL 330.673369 200.396471 \nL 331.648317 232.100078 \nL 332.298282 247.634375 \nL 332.948247 257.727712 \nL 333.27323 260.561353 \nL 333.598212 261.864931 \nL 333.923195 261.621757 \nL 334.248178 259.834941 \nL 334.57316 256.52735 \nL 335.223125 245.538065 \nL 335.873091 229.2146 \nL 336.848039 196.613915 \nL 338.472952 130.346961 \nL 339.772882 78.712511 \nL 340.74783 47.730076 \nL 341.397795 32.819485 \nL 342.047761 23.428061 \nL 342.372743 20.963555 \nL 342.697726 20.034984 \nL 343.022709 20.654225 \nL 343.347691 22.813367 \nL 343.672674 26.484771 \nL 344.322639 38.157699 \nL 344.972604 55.07742 \nL 345.947552 88.343734 \nL 347.897448 168.426472 \nL 349.197378 217.196028 \nL 350.172326 244.13378 \nL 350.822292 255.68662 \nL 351.147274 259.293978 \nL 351.472257 261.387483 \nL 351.797239 261.940354 \nL 352.122222 260.945505 \nL 352.447205 258.415668 \nL 352.772187 254.383225 \nL 353.422153 242.035483 \nL 354.072118 224.532274 \nL 355.047066 190.625585 \nL 358.621875 52.368058 \nL 359.27184 36.151178 \nL 359.921805 25.28348 \nL 360.246788 22.040394 \nL 360.57177 20.319469 \nL 360.896753 20.142726 \nL 361.221736 21.512419 \nL 361.546718 24.411033 \nL 362.196684 34.627446 \nL 362.846649 50.270709 \nL 363.821597 82.099216 \nL 365.121527 134.249932 \nL 366.74644 200.059191 \nL 367.721388 231.84518 \nL 368.371353 247.451322 \nL 369.021319 257.625649 \nL 369.346301 260.502109 \nL 369.671284 261.849251 \nL 369.996267 261.649844 \nL 370.321249 259.906439 \nL 370.646232 256.641341 \nL 371.296197 245.73215 \nL 371.946162 229.478868 \nL 372.92111 196.957241 \nL 374.546023 130.732463 \nL 375.845954 79.044545 \nL 376.820902 47.977093 \nL 377.470867 32.993322 \nL 378.120832 23.519858 \nL 378.445815 21.012298 \nL 378.770798 20.040051 \nL 379.09578 20.615565 \nL 379.420763 22.73147 \nL 379.745745 26.360686 \nL 380.395711 37.95452 \nL 381.045676 54.805526 \nL 382.020624 87.995683 \nL 383.645537 154.560803 \nL 384.945467 205.772075 \nL 385.920415 236.097562 \nL 386.570381 250.447462 \nL 387.220346 259.212702 \nL 387.545328 261.349466 \nL 387.870311 261.946074 \nL 388.195294 260.99489 \nL 388.520276 258.508097 \nL 388.845259 254.517505 \nL 389.495224 242.247806 \nL 390.145189 224.811814 \nL 391.120137 190.978224 \nL 392.095085 151.436905 \nL 392.095085 151.436905 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 51.207813 274.042747 \nL 51.207813 7.930747 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 408.327813 274.042747 \nL 408.327813 7.930747 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 51.207813 274.042747 \nL 408.327813 274.042747 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 51.207813 7.930747 \nL 408.327813 7.930747 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p5b55456040\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"51.207813\" y=\"7.930747\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot\n",
-    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Runge-Kutta for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"w\": 1.}\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(6.2781e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-1.2795, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-4.2331, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(7.5939e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-5.7381, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(4.7552e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-4.1620, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-3.3590, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(4.9796e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(-1.9073, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(5.0881e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(0.8073, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(3.3890e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(3.7548, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(4.4404e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.1038, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(4.1403e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.4751, requires_grad=True)}\n",
-      "Epoch: 10\t Loss: tensor(3.3606e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9211, requires_grad=True)}\n",
-      "Epoch: 11\t Loss: tensor(1.6331e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0230, requires_grad=True)}\n",
-      "Epoch: 12\t Loss: tensor(2.1287e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0357, requires_grad=True)}\n",
-      "Epoch: 13\t Loss: tensor(1.1847e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9797, requires_grad=True)}\n",
-      "Epoch: 14\t Loss: tensor(8.3503e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9811, requires_grad=True)}\n",
-      "Epoch: 15\t Loss: tensor(4.8015e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9931, requires_grad=True)}\n",
-      "Epoch: 16\t Loss: tensor(1.9135e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0067, requires_grad=True)}\n",
-      "Epoch: 17\t Loss: tensor(5.4234e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9782, requires_grad=True)}\n",
-      "Epoch: 18\t Loss: tensor(6.8002e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9436, requires_grad=True)}\n",
-      "Epoch: 19\t Loss: tensor(1.5634e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0047, requires_grad=True)}\n",
-      "Epoch: 20\t Loss: tensor(4.0029e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9857, requires_grad=True)}\n",
-      "Epoch: 21\t Loss: tensor(7.2332e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0123, requires_grad=True)}\n",
-      "Epoch: 22\t Loss: tensor(7.6391e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9982, requires_grad=True)}\n",
-      "Epoch: 23\t Loss: tensor(1.7542e-10, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9996, requires_grad=True)}\n",
-      "Epoch: 24\t Loss: tensor(6.8283e-10, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0003, requires_grad=True)}\n",
-      "Epoch: 25\t Loss: tensor(8.5802e-12, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0001, requires_grad=True)}\n",
-      "Epoch: 26\t Loss: tensor(3.5191e-11, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9999, requires_grad=True)}\n",
-      "Epoch: 27\t Loss: tensor(9.9920e-14, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 28\t Loss: tensor(1.0946e-11, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9999, requires_grad=True)}\n",
-      "Epoch: 29\t Loss: tensor(1.1227e-11, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0001, requires_grad=True)}\n",
-      "Epoch: 30\t Loss: tensor(1.2711e-12, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 31\t Loss: tensor(2.6656e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 32\t Loss: tensor(3.6071e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 33\t Loss: tensor(4.8961e-14, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 34\t Loss: tensor(1.2834e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 35\t Loss: tensor(4.2677e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 36\t Loss: tensor(0., grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 37\t Loss: tensor(3.9968e-15, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 38\t Loss: tensor(5.4401e-15, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 39\t Loss: tensor(5.4401e-15, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 40\t Loss: tensor(4.4409e-16, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 41\t Loss: tensor(4.4409e-16, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 42\t Loss: tensor(4.4409e-16, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 43\t Loss: tensor(4.4409e-16, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 44\t Loss: tensor(4.4409e-16, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 45\t Loss: tensor(0., grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5., requires_grad=True)}\n",
-      "Epoch: 46\t Loss: tensor(0., grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5., requires_grad=True)}\n",
-      "Epoch: 47\t Loss: tensor(0., grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5., requires_grad=True)}\n",
-      "Epoch: 48\t Loss: tensor(0., grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5., requires_grad=True)}\n",
-      "Epoch: 49\t Loss: tensor(0., grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5., requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.5},\n",
-    "    max_epochs=50,\n",
-    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'w': Parameter containing:\n",
-       " tensor(5., requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 25
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000,  0.0000],\n",
-       "        [ 0.0100,  0.0100],\n",
-       "        [ 0.0200,  0.0200],\n",
-       "        ...,\n",
-       "        [-0.0806,  9.9701],\n",
-       "        [-0.0713,  9.9801],\n",
-       "        [-0.0619,  9.9901]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 26
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(1000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T01:30:53.050137</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m19a36b6fc4\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m19a36b6fc4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m19a36b6fc4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m19a36b6fc4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m19a36b6fc4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m19a36b6fc4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m19a36b6fc4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m3b6ed04f94\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"261.217017\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.20 -->\n      <g transform=\"translate(7.2 265.016235)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"230.976808\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.15 -->\n      <g transform=\"translate(7.2 234.776026)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"200.736598\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.10 -->\n      <g transform=\"translate(7.2 204.535817)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"170.496389\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −0.05 -->\n      <g transform=\"translate(7.2 174.295608)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"140.25618\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055399)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"110.015971\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.05 -->\n      <g transform=\"translate(15.579688 113.81519)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"79.775762\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.10 -->\n      <g transform=\"translate(15.579688 83.574981)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"49.535553\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.15 -->\n      <g transform=\"translate(15.579688 53.334772)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m3b6ed04f94\" y=\"19.295344\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 0.20 -->\n      <g transform=\"translate(15.579688 23.094563)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pe30df2d7a9)\" d=\"M 61.07804 140.25618 \nL 64.002816 87.642382 \nL 65.627692 62.331065 \nL 66.927593 45.5043 \nL 67.90252 35.331946 \nL 68.877446 27.515961 \nL 69.527395 23.703386 \nL 70.177345 21.055369 \nL 70.827295 19.598362 \nL 71.15227 19.321505 \nL 71.477245 19.346928 \nL 71.80222 19.674561 \nL 72.127194 20.303582 \nL 72.777144 22.458762 \nL 73.427094 25.790928 \nL 74.077044 30.266789 \nL 75.051968 39.024179 \nL 76.026893 50.055017 \nL 77.326792 67.864441 \nL 78.951668 94.090085 \nL 81.226492 135.226477 \nL 84.476241 193.783775 \nL 86.101115 218.956325 \nL 87.401015 235.636883 \nL 88.375939 245.682778 \nL 89.350864 253.361028 \nL 90.000814 257.077027 \nL 90.650763 259.6258 \nL 91.300713 260.981879 \nL 91.625688 261.207952 \nL 91.950663 261.131708 \nL 92.275638 260.753336 \nL 92.600613 260.073792 \nL 93.250563 257.818693 \nL 93.900514 254.38896 \nL 94.550464 249.818849 \nL 95.525389 240.928383 \nL 96.500313 229.777033 \nL 97.800213 211.831132 \nL 99.425087 185.481212 \nL 101.699911 144.270199 \nL 104.94966 85.819048 \nL 106.574534 60.787026 \nL 107.874434 44.253855 \nL 108.849359 34.335133 \nL 109.824283 26.795167 \nL 110.474233 23.175987 \nL 111.124183 20.726646 \nL 111.449158 19.948769 \nL 111.774133 19.471595 \nL 112.099107 19.296324 \nL 112.424082 19.423389 \nL 112.749057 19.852473 \nL 113.074032 20.582504 \nL 113.723982 22.937351 \nL 114.373932 26.464407 \nL 115.023881 31.128436 \nL 115.998806 40.151364 \nL 116.973731 51.422424 \nL 118.27363 69.503537 \nL 119.898505 95.97587 \nL 122.498304 143.306006 \nL 125.423077 195.599475 \nL 127.047956 220.489188 \nL 128.347855 236.873792 \nL 129.32278 246.664648 \nL 130.297705 254.065798 \nL 130.947654 257.58788 \nL 131.597604 259.937616 \nL 131.922579 260.665061 \nL 132.247554 261.09154 \nL 132.572529 261.216 \nL 132.897504 261.038125 \nL 133.222478 260.558356 \nL 133.547453 259.777892 \nL 134.197403 257.323441 \nL 134.847353 253.699304 \nL 135.497303 248.941674 \nL 136.472227 239.786923 \nL 137.447152 228.396927 \nL 138.747051 210.181866 \nL 140.371926 183.588966 \nL 142.971725 136.190253 \nL 145.571524 89.433465 \nL 147.196398 63.856881 \nL 148.496298 46.748581 \nL 149.471222 36.331822 \nL 150.446147 28.248975 \nL 151.096097 24.248962 \nL 151.746047 21.408047 \nL 152.395996 19.754626 \nL 152.720971 19.37885 \nL 153.045946 19.305211 \nL 153.370921 19.533888 \nL 153.695896 20.064297 \nL 154.345846 22.024307 \nL 154.995795 25.165647 \nL 155.645745 29.456927 \nL 156.62067 37.953159 \nL 157.595594 48.746893 \nL 158.895494 66.286696 \nL 160.520368 92.264791 \nL 162.795192 133.247384 \nL 166.044941 191.999667 \nL 167.669816 217.441009 \nL 168.969715 234.405436 \nL 169.94464 244.697149 \nL 170.919564 252.643344 \nL 171.569514 256.547321 \nL 172.219464 259.289363 \nL 172.869414 260.842062 \nL 173.194389 261.16709 \nL 173.519363 261.189909 \nL 173.844338 260.910466 \nL 174.169313 260.329444 \nL 174.819263 258.269244 \nL 175.469213 255.029896 \nL 176.119163 250.643761 \nL 177.094087 242.013255 \nL 178.069012 231.097504 \nL 179.368911 213.418781 \nL 180.993786 187.312806 \nL 183.26861 146.24993 \nL 186.518359 87.595712 \nL 188.143233 62.291429 \nL 189.443133 45.472072 \nL 190.418057 35.306134 \nL 191.39299 27.497134 \nL 192.042955 23.689489 \nL 192.69292 21.046573 \nL 193.342885 19.594784 \nL 193.667868 19.320567 \nL 193.992851 19.348632 \nL 194.317833 19.678914 \nL 194.642816 20.310585 \nL 195.292781 22.47101 \nL 195.942746 25.80834 \nL 196.592712 30.289221 \nL 197.56766 39.05374 \nL 198.542607 50.091085 \nL 199.842538 67.907952 \nL 201.467451 94.140478 \nL 203.742329 135.281103 \nL 206.992156 193.832423 \nL 208.617069 218.996853 \nL 209.916999 235.668778 \nL 210.891947 245.707165 \nL 211.866895 253.377178 \nL 212.51686 257.087373 \nL 213.166826 259.630153 \nL 213.816791 260.980112 \nL 214.141774 261.203094 \nL 214.466756 261.12375 \nL 214.791739 260.742278 \nL 215.116721 260.059634 \nL 215.766687 257.798406 \nL 216.416652 254.362662 \nL 217.066617 249.78672 \nL 218.041565 240.887972 \nL 219.016513 229.729078 \nL 220.316443 211.774584 \nL 221.941357 185.416783 \nL 224.216235 144.201046 \nL 227.466061 85.757075 \nL 229.090974 60.734548 \nL 230.390905 44.211398 \nL 231.365853 34.301364 \nL 232.340801 26.770897 \nL 232.990766 23.158413 \nL 233.640731 20.715958 \nL 233.965714 19.941577 \nL 234.290696 19.467927 \nL 234.615679 19.296198 \nL 234.940662 19.426813 \nL 235.265644 19.859448 \nL 235.590627 20.593012 \nL 236.240592 22.954879 \nL 236.890557 26.488803 \nL 237.540523 31.159474 \nL 238.515471 40.19182 \nL 239.490418 51.471433 \nL 240.790349 69.562256 \nL 242.415262 96.043435 \nL 245.015123 143.378727 \nL 247.614984 190.220602 \nL 249.239897 215.9206 \nL 250.539828 233.160713 \nL 251.514776 243.692252 \nL 252.489724 251.900686 \nL 253.139689 255.989037 \nL 253.789654 258.920941 \nL 254.439619 260.667107 \nL 254.764602 261.089612 \nL 255.089585 261.210079 \nL 255.414567 261.028202 \nL 255.73955 260.544441 \nL 256.064532 259.760002 \nL 256.714498 257.297675 \nL 257.364463 253.665823 \nL 258.014428 248.900749 \nL 258.989376 239.735463 \nL 259.964324 228.335923 \nL 261.264254 210.110069 \nL 262.889168 183.507414 \nL 265.489029 136.103205 \nL 268.08889 89.35427 \nL 269.713803 63.789054 \nL 271.013733 46.692985 \nL 271.988681 36.286914 \nL 272.963629 28.215828 \nL 273.613594 24.224106 \nL 274.26356 21.391771 \nL 274.913525 19.74711 \nL 275.238507 19.375768 \nL 275.56349 19.306571 \nL 275.888473 19.539692 \nL 276.213455 20.074553 \nL 276.863421 22.043368 \nL 277.513386 25.19336 \nL 278.163351 29.493049 \nL 279.138299 38.001231 \nL 280.113247 48.805897 \nL 281.413177 66.358222 \nL 283.038091 92.347952 \nL 285.312969 133.337983 \nL 288.562795 192.081345 \nL 290.187708 217.509943 \nL 291.487639 234.460753 \nL 292.462587 244.740579 \nL 293.437535 252.673751 \nL 294.0875 256.568545 \nL 294.737465 259.301106 \nL 295.38743 260.844126 \nL 295.712413 261.164269 \nL 296.037396 261.182195 \nL 296.362378 260.897839 \nL 296.687361 260.311933 \nL 297.337326 258.242027 \nL 297.987291 254.993171 \nL 298.637257 250.597816 \nL 299.612204 241.954206 \nL 300.587152 231.026523 \nL 301.887083 213.334155 \nL 303.511996 187.215577 \nL 305.786874 146.144828 \nL 309.036701 87.500821 \nL 310.661614 62.210679 \nL 311.961544 45.406355 \nL 312.936492 35.253485 \nL 313.91144 27.458805 \nL 314.561405 23.661208 \nL 315.211371 21.028612 \nL 315.861336 19.587331 \nL 316.186318 19.318396 \nL 316.511301 19.351759 \nL 316.836284 19.687322 \nL 317.161266 20.324257 \nL 317.811232 22.4951 \nL 318.461197 25.842596 \nL 319.111162 30.3333 \nL 320.08611 39.111698 \nL 321.061042 50.161633 \nL 322.360973 67.992731 \nL 323.985886 94.238238 \nL 326.260764 135.38673 \nL 329.510591 193.927192 \nL 331.135504 219.07709 \nL 332.435434 235.733747 \nL 333.410382 245.758959 \nL 334.38533 253.414624 \nL 335.035295 257.11478 \nL 335.685261 259.647241 \nL 336.335226 260.986709 \nL 336.660209 261.204419 \nL 336.985191 261.119794 \nL 337.310174 260.733059 \nL 337.635156 260.045169 \nL 338.285122 257.773578 \nL 338.935087 254.327713 \nL 339.585052 249.742001 \nL 340.56 240.829473 \nL 341.534948 229.658116 \nL 342.834878 211.689522 \nL 344.459792 185.318937 \nL 347.059653 138.048361 \nL 349.984496 85.66295 \nL 351.609409 60.655122 \nL 352.90934 44.147357 \nL 353.884288 34.25058 \nL 354.859236 26.734505 \nL 355.509201 23.132088 \nL 356.159166 20.69997 \nL 356.484149 19.930834 \nL 356.809131 19.462448 \nL 357.134114 19.296 \nL 357.459097 19.431887 \nL 357.784079 19.869785 \nL 358.109062 20.608585 \nL 358.759027 22.980799 \nL 359.408992 26.524808 \nL 360.058958 31.205229 \nL 361.033906 40.251292 \nL 362.008853 51.543279 \nL 363.308784 69.648058 \nL 364.933697 96.141831 \nL 367.533558 143.484377 \nL 370.133419 190.316835 \nL 371.758332 216.003044 \nL 373.058263 233.228395 \nL 374.033211 243.747047 \nL 375.008159 251.941368 \nL 375.658124 256.019778 \nL 376.308089 258.941444 \nL 376.958054 260.677156 \nL 377.283037 261.094397 \nL 377.60802 261.209592 \nL 377.933002 261.022434 \nL 378.257985 260.53341 \nL 378.582967 259.743735 \nL 379.232933 257.27108 \nL 379.882898 253.62917 \nL 380.532863 248.854399 \nL 381.507811 239.675477 \nL 382.482759 228.263645 \nL 383.782689 210.023975 \nL 385.407603 183.408932 \nL 385.732585 177.707335 \nL 385.732585 177.707335 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe30df2d7a9\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot\n",
-    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/DuffingEquation/Cos_wt_sin_dataset_fitRandomSample.ipynb b/examples/ode/DuffingEquation/Cos_wt_sin_dataset_fitRandomSample.ipynb
deleted file mode 100644
index a3cb7a72..00000000
--- a/examples/ode/DuffingEquation/Cos_wt_sin_dataset_fitRandomSample.ipynb
+++ /dev/null
@@ -1,700 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "import numpy as np\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# x'(t) = cos(5t)\n",
-    "dt = 0.01\n",
-    "\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return torch.cos(coeffs[\"w\"]*prev_val[\"t\"])\n",
-    "\n",
-    "def t_prime(prev_val, coeffs):\n",
-    "    return 1\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"t\": t_prime}\n",
-    "\n",
-    "# Initial conditions [0,0,0]\n",
-    "ode_init = {\"x\": 0, \"t\": 0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"w\": 5.}\n"
-   ]
-  },
-  {
-   "source": [
-    "# Dataset: x(t) = 0.2 sin(5t)"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "result = torch.cat((0.2*torch.sin(5*torch.arange(0,10,dt).view(1000,1)), torch.arange(0,10,dt).t().view(1000,1)), dim=1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000,  0.0000],\n",
-       "        [ 0.0100,  0.0100],\n",
-       "        [ 0.0200,  0.0200],\n",
-       "        ...,\n",
-       "        [-0.0807,  9.9700],\n",
-       "        [-0.0715,  9.9800],\n",
-       "        [-0.0621,  9.9900]])"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 22
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:48:52.331100</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m53032947b7\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m53032947b7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073946\" xlink:href=\"#m53032947b7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.892696 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.069853\" xlink:href=\"#m53032947b7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.888603 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.065759\" xlink:href=\"#m53032947b7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.884509 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.061666\" xlink:href=\"#m53032947b7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.880416 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.057572\" xlink:href=\"#m53032947b7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.695072 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m22e828f50d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"261.217179\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.20 -->\n      <g transform=\"translate(7.2 265.016398)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"230.97696\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.15 -->\n      <g transform=\"translate(7.2 234.776178)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"200.73674\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.10 -->\n      <g transform=\"translate(7.2 204.535959)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"170.496521\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −0.05 -->\n      <g transform=\"translate(7.2 174.29574)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"140.256302\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055521)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"110.016083\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.05 -->\n      <g transform=\"translate(15.579688 113.815301)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"79.775863\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.10 -->\n      <g transform=\"translate(15.579688 83.575082)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"49.535644\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.15 -->\n      <g transform=\"translate(15.579688 53.334863)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m22e828f50d\" y=\"19.295425\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 0.20 -->\n      <g transform=\"translate(15.579688 23.094644)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p84ad22481e)\" d=\"M 61.07804 140.256302 \nL 64.002855 87.64249 \nL 65.627753 62.331169 \nL 66.927671 45.504399 \nL 67.90261 35.332032 \nL 68.877548 27.516035 \nL 69.527507 23.703459 \nL 70.177467 21.055433 \nL 70.827425 19.598434 \nL 71.152405 19.321577 \nL 71.477385 19.347001 \nL 71.802364 19.674633 \nL 72.127344 20.303664 \nL 72.777302 22.458835 \nL 73.427262 25.791011 \nL 74.077221 30.266892 \nL 75.05216 39.024294 \nL 76.027099 50.055136 \nL 77.327016 67.864588 \nL 78.951914 94.09025 \nL 81.226771 135.226657 \nL 84.476567 193.783982 \nL 86.101465 218.9565 \nL 87.401382 235.637019 \nL 88.376322 245.68289 \nL 89.351259 253.361079 \nL 90.001218 257.077062 \nL 90.651176 259.6258 \nL 91.301137 260.981843 \nL 91.626116 261.207898 \nL 91.951095 261.131636 \nL 92.276074 260.753246 \nL 92.601053 260.073684 \nL 93.251012 257.818557 \nL 93.900972 254.388769 \nL 94.550931 249.818647 \nL 95.525868 240.928124 \nL 96.500806 229.776716 \nL 97.800727 211.830732 \nL 99.425623 185.480795 \nL 101.700481 144.269689 \nL 104.950277 85.818574 \nL 106.575174 60.786626 \nL 107.875094 44.253521 \nL 108.850032 34.334858 \nL 109.82497 26.794998 \nL 110.474928 23.175889 \nL 111.124887 20.726611 \nL 111.449866 19.94876 \nL 111.774845 19.471622 \nL 112.099824 19.296379 \nL 112.424803 19.423479 \nL 112.749787 19.852599 \nL 113.074766 20.582657 \nL 113.724724 22.937595 \nL 114.374683 26.464698 \nL 115.024641 31.128818 \nL 115.999579 40.151821 \nL 116.974516 51.42294 \nL 118.274437 69.50422 \nL 119.899333 95.976558 \nL 122.499171 143.306835 \nL 125.423984 195.600206 \nL 127.048884 220.489815 \nL 128.348801 236.874289 \nL 129.323738 246.665076 \nL 130.298676 254.066093 \nL 130.948635 257.588068 \nL 131.598601 259.937751 \nL 131.92358 260.665151 \nL 132.248559 261.091585 \nL 132.573538 261.216 \nL 132.898518 261.03807 \nL 133.223497 260.558256 \nL 133.548476 259.777756 \nL 134.198435 257.323205 \nL 134.848393 253.698959 \nL 135.498351 248.941264 \nL 136.473289 239.786411 \nL 137.448227 228.396259 \nL 138.748144 210.181173 \nL 140.373048 183.587944 \nL 142.972881 136.189183 \nL 145.572715 89.432529 \nL 147.197619 63.856085 \nL 148.497536 46.747888 \nL 149.472474 36.331305 \nL 150.447411 28.248644 \nL 151.09737 24.248739 \nL 151.747328 21.407967 \nL 152.397287 19.754671 \nL 152.722266 19.378967 \nL 153.047245 19.305382 \nL 153.372224 19.534123 \nL 153.697203 20.064604 \nL 154.347162 22.024722 \nL 154.997128 25.166226 \nL 155.647086 29.457616 \nL 156.622024 37.954076 \nL 157.596962 48.747958 \nL 158.896879 66.287951 \nL 160.521775 92.266127 \nL 162.796629 133.248893 \nL 166.046429 192.001068 \nL 167.671325 217.44221 \nL 168.971242 234.406481 \nL 169.94618 244.697973 \nL 170.921118 252.643945 \nL 171.571076 256.547788 \nL 172.221035 259.289642 \nL 172.871001 260.842215 \nL 173.19598 261.167162 \nL 173.520959 261.1899 \nL 173.845938 260.910357 \nL 174.170918 260.329263 \nL 174.820876 258.268883 \nL 175.470835 255.029353 \nL 176.120793 250.643046 \nL 177.095731 242.012311 \nL 178.070668 231.096376 \nL 179.370585 213.417521 \nL 180.995489 187.311123 \nL 183.270344 146.248269 \nL 186.520136 87.594211 \nL 188.145032 62.290155 \nL 189.444957 45.471009 \nL 190.419894 35.305338 \nL 191.39484 27.496533 \nL 192.044798 23.689049 \nL 192.694757 21.046312 \nL 193.344715 19.594649 \nL 193.669687 19.320477 \nL 193.994673 19.348578 \nL 194.319645 19.678896 \nL 194.644632 20.310603 \nL 195.29459 22.471092 \nL 195.944549 25.808387 \nL 196.594507 30.28927 \nL 197.569437 39.053701 \nL 198.544383 50.090915 \nL 199.844299 67.907662 \nL 201.469203 94.139948 \nL 203.744066 135.280431 \nL 206.993858 193.832211 \nL 208.618746 218.997344 \nL 209.918663 235.670004 \nL 210.893609 245.709269 \nL 211.868538 253.380068 \nL 212.518497 257.090959 \nL 213.168455 259.634461 \nL 213.818414 260.985186 \nL 214.143401 261.208547 \nL 214.468372 261.129608 \nL 214.793359 260.748542 \nL 215.118331 260.06632 \nL 215.768289 257.805922 \nL 216.418248 254.371068 \nL 217.068222 249.795854 \nL 218.043167 240.898212 \nL 219.018097 229.740477 \nL 220.318014 211.787428 \nL 221.942918 185.430714 \nL 224.217764 144.215956 \nL 227.467557 85.770773 \nL 229.092461 60.746097 \nL 230.392377 44.220923 \nL 231.367307 34.30902 \nL 232.342253 26.77637 \nL 232.992227 23.162325 \nL 233.642185 20.718319 \nL 233.967157 19.94319 \nL 234.292144 19.46873 \nL 234.617115 19.29618 \nL 234.942102 19.425975 \nL 235.267073 19.857772 \nL 235.59206 20.590525 \nL 236.242019 22.95069 \nL 236.891977 26.482984 \nL 237.541936 31.15207 \nL 238.516866 40.181941 \nL 239.491811 51.459512 \nL 240.791728 69.547934 \nL 242.416616 96.026594 \nL 245.01645 143.360465 \nL 247.616284 190.204252 \nL 249.241203 215.907571 \nL 250.54112 233.150781 \nL 251.51605 243.685163 \nL 252.490996 251.896754 \nL 253.140954 255.987395 \nL 253.790912 258.92167 \nL 254.440871 260.670279 \nL 254.765842 261.094019 \nL 255.090829 261.215748 \nL 255.415801 261.035141 \nL 255.740788 260.552633 \nL 256.065759 259.769474 \nL 256.715718 257.30966 \nL 257.365676 253.680286 \nL 258.015635 248.917706 \nL 258.99058 239.755778 \nL 259.96551 228.359588 \nL 261.265427 210.137301 \nL 262.890331 183.537962 \nL 265.490164 136.135451 \nL 268.090014 89.383538 \nL 269.714902 63.814592 \nL 271.014819 46.713938 \nL 271.989764 36.303809 \nL 272.964694 28.228457 \nL 273.614653 24.233526 \nL 274.264611 21.397999 \nL 274.91457 19.749985 \nL 275.239557 19.376975 \nL 275.564528 19.306085 \nL 275.889515 19.537502 \nL 276.214487 20.070642 \nL 276.864445 22.036114 \nL 277.514403 25.182709 \nL 278.164362 29.479056 \nL 279.139307 37.982645 \nL 280.114237 48.782817 \nL 281.414154 66.330223 \nL 283.039073 92.315695 \nL 285.31392 133.302566 \nL 288.563712 192.049653 \nL 290.188616 217.483595 \nL 291.488533 234.440223 \nL 292.463463 244.724965 \nL 293.438409 252.663817 \nL 294.088367 256.562505 \nL 294.738325 259.299231 \nL 295.388284 260.846415 \nL 295.713255 261.168685 \nL 296.038242 261.188738 \nL 296.363214 260.906554 \nL 296.688201 260.322747 \nL 297.338159 258.257122 \nL 297.988133 255.012365 \nL 298.638092 250.620947 \nL 299.613022 241.983237 \nL 300.587967 231.060714 \nL 301.887884 213.374334 \nL 303.512772 187.261803 \nL 305.787635 146.194342 \nL 309.037427 87.545604 \nL 310.662315 62.249239 \nL 311.962232 45.437762 \nL 312.937177 35.278616 \nL 313.912123 27.477084 \nL 314.562081 23.674764 \nL 315.21204 21.037174 \nL 315.861998 19.590873 \nL 316.186985 19.319396 \nL 316.511957 19.350182 \nL 316.836944 19.683204 \nL 317.161915 20.31757 \nL 317.811873 22.483295 \nL 318.461832 25.825727 \nL 319.11179 30.311674 \nL 320.086736 39.083289 \nL 321.061666 50.126766 \nL 322.361583 67.950754 \nL 323.986486 94.189656 \nL 326.261333 135.333917 \nL 329.511141 193.880616 \nL 331.136014 219.037629 \nL 332.435931 235.702763 \nL 333.410892 245.735594 \nL 334.385822 253.399093 \nL 335.035765 257.104811 \nL 335.685738 259.643121 \nL 336.335681 260.988485 \nL 336.660668 261.209178 \nL 336.985655 261.127562 \nL 337.310642 260.743801 \nL 337.635598 260.058975 \nL 338.285572 257.793286 \nL 338.935515 254.353296 \nL 339.58552 249.772945 \nL 340.56045 240.868499 \nL 341.53538 229.704293 \nL 342.835297 211.744255 \nL 344.460201 185.38084 \nL 346.735048 144.162222 \nL 349.984855 85.722575 \nL 351.609759 60.705245 \nL 352.909676 44.18811 \nL 353.884606 34.282876 \nL 354.859536 26.757769 \nL 355.50951 23.148843 \nL 356.159453 20.710145 \nL 356.48444 19.937648 \nL 356.809427 19.465873 \nL 357.134383 19.296 \nL 357.45937 19.428463 \nL 357.784357 19.862963 \nL 358.109344 20.598348 \nL 358.759287 22.963767 \nL 359.40926 26.501252 \nL 360.059203 31.175186 \nL 361.034133 40.212024 \nL 362.009094 51.496183 \nL 363.309011 69.591374 \nL 364.933884 96.076211 \nL 367.533718 143.413979 \nL 370.133552 190.252792 \nL 371.758486 215.949514 \nL 373.058403 233.185055 \nL 374.033333 243.713029 \nL 375.008294 251.917527 \nL 375.658237 256.003013 \nL 376.308211 258.932133 \nL 376.958154 260.67538 \nL 377.283141 261.096434 \nL 377.608128 261.215468 \nL 377.933084 261.032176 \nL 378.258071 260.546973 \nL 378.583058 259.761137 \nL 379.233001 257.296096 \nL 379.882975 253.661513 \nL 380.532918 248.893977 \nL 381.507879 239.725065 \nL 382.482808 228.322583 \nL 383.782725 210.093217 \nL 385.407598 183.487971 \nL 385.732585 177.787809 \nL 385.732585 177.787809 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965313 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p84ad22481e\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,1], result_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"w\": 1.}\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.0746, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(1.6998e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(2.7705, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(4.8719e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(3.9035, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(6.1404e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.8478, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(1.2617e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0906, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(1.4774e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(2.8040, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(6.7173e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(2.9461, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(2.2041e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.6637, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(1.8713e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(6.2272, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(3.9529, requires_grad=True)}\n",
-      "Epoch: 10\t Loss: tensor(9.9100e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.6195, requires_grad=True)}\n",
-      "Epoch: 11\t Loss: tensor(9.5652e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0657, requires_grad=True)}\n",
-      "Epoch: 12\t Loss: tensor(1.0789e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.1469, requires_grad=True)}\n",
-      "Epoch: 13\t Loss: tensor(1.3551e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0046, requires_grad=True)}\n",
-      "Epoch: 14\t Loss: tensor(1.2483e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0141, requires_grad=True)}\n",
-      "Epoch: 15\t Loss: tensor(9.7401e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.8922, requires_grad=True)}\n",
-      "Epoch: 16\t Loss: tensor(1.0933e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.1778, requires_grad=True)}\n",
-      "Epoch: 17\t Loss: tensor(5.0590e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.8981, requires_grad=True)}\n",
-      "Epoch: 18\t Loss: tensor(6.6089e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0579, requires_grad=True)}\n",
-      "Epoch: 19\t Loss: tensor(1.2787e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9825, requires_grad=True)}\n",
-      "Epoch: 20\t Loss: tensor(2.4039e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0293, requires_grad=True)}\n",
-      "Epoch: 21\t Loss: tensor(1.7594e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9790, requires_grad=True)}\n",
-      "Epoch: 22\t Loss: tensor(1.7752e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0099, requires_grad=True)}\n",
-      "Epoch: 23\t Loss: tensor(7.3834e-11, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0016, requires_grad=True)}\n",
-      "Epoch: 24\t Loss: tensor(8.8376e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0044, requires_grad=True)}\n",
-      "Epoch: 25\t Loss: tensor(4.2443e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0026, requires_grad=True)}\n",
-      "Epoch: 26\t Loss: tensor(2.5877e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0041, requires_grad=True)}\n",
-      "Epoch: 27\t Loss: tensor(2.5798e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0035, requires_grad=True)}\n",
-      "Epoch: 28\t Loss: tensor(1.3090e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0038, requires_grad=True)}\n",
-      "Epoch: 29\t Loss: tensor(2.6411e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0032, requires_grad=True)}\n",
-      "Epoch: 30\t Loss: tensor(1.3716e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0032, requires_grad=True)}\n",
-      "Epoch: 31\t Loss: tensor(1.5587e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0038, requires_grad=True)}\n",
-      "Epoch: 32\t Loss: tensor(4.8162e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0048, requires_grad=True)}\n",
-      "Epoch: 33\t Loss: tensor(6.5313e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0037, requires_grad=True)}\n",
-      "Epoch: 34\t Loss: tensor(1.6680e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0031, requires_grad=True)}\n",
-      "Epoch: 35\t Loss: tensor(5.4401e-11, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0014, requires_grad=True)}\n",
-      "Epoch: 36\t Loss: tensor(4.3130e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0047, requires_grad=True)}\n",
-      "Epoch: 37\t Loss: tensor(7.3329e-12, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0017, requires_grad=True)}\n",
-      "Epoch: 38\t Loss: tensor(6.7459e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0033, requires_grad=True)}\n",
-      "Epoch: 39\t Loss: tensor(1.3768e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0029, requires_grad=True)}\n",
-      "Epoch: 40\t Loss: tensor(2.0917e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0036, requires_grad=True)}\n",
-      "Epoch: 41\t Loss: tensor(1.9102e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0044, requires_grad=True)}\n",
-      "Epoch: 42\t Loss: tensor(2.6673e-10, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0019, requires_grad=True)}\n",
-      "Epoch: 43\t Loss: tensor(2.4844e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0040, requires_grad=True)}\n",
-      "Epoch: 44\t Loss: tensor(9.4255e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0036, requires_grad=True)}\n",
-      "Epoch: 45\t Loss: tensor(1.7675e-11, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0015, requires_grad=True)}\n",
-      "Epoch: 46\t Loss: tensor(1.2478e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0055, requires_grad=True)}\n",
-      "Epoch: 47\t Loss: tensor(1.8300e-11, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0017, requires_grad=True)}\n",
-      "Epoch: 48\t Loss: tensor(2.1651e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0008, requires_grad=True)}\n",
-      "Epoch: 49\t Loss: tensor(1.0269e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0055, requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.5},\n",
-    "    max_epochs=50,\n",
-    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'w': Parameter containing:\n",
-       " tensor(5.0055, requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 26
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt=1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000,  0.0000],\n",
-       "        [ 0.0100,  0.0100],\n",
-       "        [ 0.0200,  0.0200],\n",
-       "        ...,\n",
-       "        [-0.0700,  9.9701],\n",
-       "        [-0.0607,  9.9801],\n",
-       "        [-0.0512,  9.9901]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 27
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(1000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:50:12.858596</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m4a07035155\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m4a07035155\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m4a07035155\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m4a07035155\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m4a07035155\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m4a07035155\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m4a07035155\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf26fdef1b3\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"264.367525\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.20 -->\n      <g transform=\"translate(7.2 268.166743)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"234.096907\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.15 -->\n      <g transform=\"translate(7.2 237.896125)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"203.826289\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.10 -->\n      <g transform=\"translate(7.2 207.625507)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"173.555671\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −0.05 -->\n      <g transform=\"translate(7.2 177.354889)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"143.285053\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 147.084271)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"113.014435\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.05 -->\n      <g transform=\"translate(15.579688 116.813653)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"82.743817\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.10 -->\n      <g transform=\"translate(15.579688 86.543035)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"52.473199\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.15 -->\n      <g transform=\"translate(15.579688 56.272417)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf26fdef1b3\" y=\"22.202581\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 0.20 -->\n      <g transform=\"translate(15.579688 26.001799)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pb6f0c792d9)\" d=\"M 61.07804 143.285053 \nL 64.002816 90.331305 \nL 65.627692 64.599013 \nL 66.927593 47.339733 \nL 67.90252 36.799227 \nL 68.877446 28.587284 \nL 69.527395 24.499865 \nL 70.177345 21.571599 \nL 70.827295 19.831805 \nL 71.15227 19.413503 \nL 71.477245 19.297913 \nL 71.80222 19.485331 \nL 72.127194 19.97528 \nL 72.452169 20.766534 \nL 73.102119 23.244274 \nL 73.752069 26.893742 \nL 74.402019 31.678394 \nL 75.376943 40.876055 \nL 76.351868 52.310504 \nL 77.651768 70.58456 \nL 79.276643 97.245158 \nL 81.876442 144.719906 \nL 84.476241 191.488709 \nL 86.101115 217.031733 \nL 87.401015 234.088881 \nL 88.375939 244.453363 \nL 89.350864 252.472718 \nL 90.000814 256.424672 \nL 90.650763 259.213378 \nL 91.300713 260.810914 \nL 91.625688 261.157524 \nL 91.950663 261.201286 \nL 92.275638 260.942085 \nL 92.600613 260.380578 \nL 93.250563 258.357009 \nL 93.900514 255.15084 \nL 94.550464 250.794188 \nL 95.525389 242.200507 \nL 96.500313 231.312399 \nL 97.800213 213.656148 \nL 99.425087 187.556209 \nL 101.699911 146.466805 \nL 104.94966 87.730956 \nL 106.574534 62.380799 \nL 107.874434 45.528183 \nL 108.849359 35.341179 \nL 109.824283 27.515548 \nL 110.474233 23.699635 \nL 111.124183 21.050887 \nL 111.774133 19.595833 \nL 112.099107 19.320962 \nL 112.424082 19.349036 \nL 112.749057 19.679985 \nL 113.074032 20.312976 \nL 113.723982 22.47801 \nL 114.373932 25.822439 \nL 115.023881 30.312788 \nL 115.998806 39.095511 \nL 116.973731 50.155106 \nL 118.27363 68.006105 \nL 119.898505 94.284356 \nL 122.173329 135.483246 \nL 125.423077 194.074475 \nL 127.047956 219.228206 \nL 128.347855 235.873899 \nL 129.32278 245.881992 \nL 130.297705 253.512789 \nL 130.947654 257.192136 \nL 131.597604 259.700549 \nL 131.922579 260.507337 \nL 132.247554 261.012911 \nL 132.572529 261.216 \nL 132.897504 261.116089 \nL 133.222478 260.71343 \nL 133.547453 260.009043 \nL 134.197403 257.702853 \nL 134.847353 254.220622 \nL 135.497303 249.597218 \nL 136.472227 240.626697 \nL 137.447152 229.397158 \nL 138.747051 211.353914 \nL 140.371926 184.901041 \nL 142.971725 137.544359 \nL 145.896499 85.160116 \nL 147.521373 60.206348 \nL 148.821273 43.769886 \nL 149.796197 33.942121 \nL 150.771122 26.507205 \nL 151.421072 22.964937 \nL 152.071021 20.597203 \nL 152.395996 19.861657 \nL 152.720971 19.427703 \nL 153.045946 19.296424 \nL 153.370921 19.468154 \nL 153.695896 19.942452 \nL 154.020871 20.718143 \nL 154.67082 23.165148 \nL 155.32077 26.784683 \nL 155.97072 31.540494 \nL 156.945645 40.697567 \nL 157.920569 52.095453 \nL 159.220469 70.328399 \nL 160.845343 96.952153 \nL 163.445142 144.406459 \nL 166.044941 191.20441 \nL 167.669816 216.789086 \nL 168.969715 233.890601 \nL 169.94464 244.293676 \nL 170.919564 252.355206 \nL 171.569514 256.336813 \nL 172.219464 259.156039 \nL 172.869414 260.78468 \nL 173.194389 261.14696 \nL 173.519363 261.206419 \nL 173.844338 260.962897 \nL 174.169313 260.417015 \nL 174.819263 258.424398 \nL 175.469213 255.248505 \nL 176.119163 250.921145 \nL 177.094087 242.368944 \nL 178.069012 231.518519 \nL 179.368911 213.90516 \nL 180.993786 187.844671 \nL 183.26861 146.779957 \nL 186.518359 88.013604 \nL 188.143233 62.620993 \nL 189.443133 45.723477 \nL 190.418057 35.497564 \nL 191.39299 27.629497 \nL 192.042955 23.783832 \nL 192.69292 21.104509 \nL 193.342885 19.618378 \nL 193.667868 19.327881 \nL 193.992851 19.340322 \nL 194.317833 19.655654 \nL 194.642816 20.273102 \nL 195.292781 22.407409 \nL 195.942746 25.721851 \nL 196.592712 30.183232 \nL 197.56766 38.925089 \nL 198.542607 49.947696 \nL 199.842538 67.756828 \nL 201.467451 93.99694 \nL 203.742329 135.172766 \nL 206.992156 193.79563 \nL 208.617069 218.991585 \nL 209.916999 235.681555 \nL 210.891947 245.727808 \nL 211.866895 253.400067 \nL 212.51686 257.108418 \nL 213.166826 259.646601 \nL 213.816791 260.989185 \nL 214.141774 261.207466 \nL 214.466756 261.122746 \nL 214.791739 260.735243 \nL 215.116721 260.045922 \nL 215.766687 257.769512 \nL 216.416652 254.316302 \nL 217.066617 249.720864 \nL 218.041565 240.789757 \nL 219.016513 229.595799 \nL 220.316443 211.592668 \nL 221.941357 185.176048 \nL 224.541218 137.840596 \nL 227.466061 85.423869 \nL 229.090974 60.42839 \nL 230.390905 43.948509 \nL 231.365853 34.083422 \nL 232.340801 26.608073 \nL 232.990766 23.037559 \nL 233.640731 20.640884 \nL 233.965714 19.890687 \nL 234.290696 19.44202 \nL 234.615679 19.296 \nL 234.940662 19.452999 \nL 235.265644 19.912618 \nL 235.590627 20.673704 \nL 236.240592 23.091912 \nL 236.890557 26.68341 \nL 237.540523 31.412211 \nL 238.515471 40.531313 \nL 239.490418 51.895017 \nL 240.790349 70.08959 \nL 242.415262 96.678955 \nL 245.015123 144.114034 \nL 247.614984 190.938573 \nL 249.239897 216.561405 \nL 250.539828 233.703516 \nL 251.514776 244.141865 \nL 252.489724 252.241925 \nL 253.139689 256.250569 \nL 253.789654 259.097634 \nL 254.439619 260.754612 \nL 254.764602 261.131154 \nL 255.089585 261.204886 \nL 255.414567 260.975644 \nL 255.73955 260.44398 \nL 256.389515 258.479492 \nL 257.03948 255.331096 \nL 257.689446 251.030322 \nL 258.664393 242.515713 \nL 259.639341 231.699433 \nL 260.939272 214.124879 \nL 262.564185 188.10007 \nL 264.839063 147.057766 \nL 268.08889 88.264515 \nL 269.713803 62.834239 \nL 271.013733 45.89694 \nL 271.988681 35.636601 \nL 272.963629 27.731032 \nL 273.613594 23.859033 \nL 274.26356 21.152647 \nL 274.913525 19.638965 \nL 275.238507 19.334602 \nL 275.56349 19.333159 \nL 275.888473 19.634643 \nL 276.213455 20.238271 \nL 276.863421 22.345224 \nL 277.513386 25.632946 \nL 278.163351 30.068517 \nL 279.138299 38.773882 \nL 280.113247 49.763372 \nL 281.413177 67.534948 \nL 283.038091 93.740725 \nL 285.312969 134.895591 \nL 288.562795 193.546713 \nL 290.187708 218.780783 \nL 291.487639 235.510835 \nL 292.462587 245.591703 \nL 293.437535 253.30168 \nL 294.0875 257.036464 \nL 294.737465 259.601774 \nL 295.38743 260.971945 \nL 295.712413 261.204083 \nL 296.037396 261.133256 \nL 296.362378 260.759619 \nL 296.687361 260.084101 \nL 297.337326 257.83497 \nL 297.987291 254.408374 \nL 298.637257 249.838638 \nL 299.612204 240.943797 \nL 300.587152 229.782649 \nL 301.887083 211.816582 \nL 303.511996 185.433589 \nL 305.786874 144.172008 \nL 309.036701 85.671365 \nL 310.661614 60.63709 \nL 311.961544 44.116667 \nL 312.936492 34.216659 \nL 313.91144 26.703383 \nL 314.561405 23.106355 \nL 315.211371 20.682473 \nL 315.536353 19.918518 \nL 315.861336 19.455994 \nL 316.186318 19.29609 \nL 316.511301 19.439196 \nL 316.836284 19.884959 \nL 317.161266 20.632269 \nL 317.811232 23.02326 \nL 318.461197 26.588235 \nL 319.111162 31.291469 \nL 320.08611 40.374531 \nL 321.061042 51.705758 \nL 322.360973 69.863696 \nL 323.985886 96.420137 \nL 326.585747 143.836579 \nL 329.185608 190.686409 \nL 330.810521 216.345858 \nL 332.110452 233.527095 \nL 333.0854 243.99949 \nL 334.060347 252.136826 \nL 334.710313 256.171696 \nL 335.360278 259.045771 \nL 336.010243 260.730255 \nL 336.335226 261.120662 \nL 336.660209 261.208296 \nL 336.985191 260.992947 \nL 337.310174 260.47514 \nL 337.960139 258.538094 \nL 338.610104 255.416546 \nL 339.26007 251.141753 \nL 340.235017 242.66396 \nL 341.209965 231.881168 \nL 342.509896 214.344788 \nL 344.134809 188.355216 \nL 346.409687 147.335233 \nL 349.659514 88.51561 \nL 351.284427 63.048018 \nL 352.584357 46.07116 \nL 353.559305 35.776459 \nL 354.534253 27.833388 \nL 355.184218 23.935074 \nL 355.834184 21.201615 \nL 356.484149 19.660363 \nL 356.809131 19.342099 \nL 357.134114 19.326736 \nL 357.459097 19.614318 \nL 357.784079 20.204116 \nL 358.434045 22.283708 \nL 359.08401 25.544681 \nL 359.733975 29.954397 \nL 360.708923 38.623127 \nL 361.683871 49.579445 \nL 362.983801 67.313338 \nL 364.608714 93.484582 \nL 366.883593 134.618264 \nL 370.133419 193.297376 \nL 371.758332 218.569449 \nL 373.058263 235.339538 \nL 374.033211 245.455075 \nL 375.008159 253.202743 \nL 375.658124 256.963941 \nL 376.308089 259.556424 \nL 376.958054 260.954228 \nL 377.283037 261.200276 \nL 377.60802 261.143342 \nL 377.933002 260.783571 \nL 378.257985 260.121864 \nL 378.90795 257.900032 \nL 379.557915 254.500094 \nL 380.207881 249.956132 \nL 381.182828 241.097638 \nL 382.157776 229.969355 \nL 383.457707 212.040497 \nL 385.08262 185.691293 \nL 385.732585 174.259789 \nL 385.732585 174.259789 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb6f0c792d9\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot\n",
-    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Runge-Kutta for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"w\": 1.}\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(6.4903e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.2780, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(3.5491e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(2.2486, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(2.1207e-05, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(2.6527, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(2.7050e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.6368, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(2.4687e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.5153, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(9.7100e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.5416, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(1.7244e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0945, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.7973, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(2.5060e-06, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9608, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(5.4163e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9939, requires_grad=True)}\n",
-      "Epoch: 10\t Loss: tensor(2.8473e-07, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0115, requires_grad=True)}\n",
-      "Epoch: 11\t Loss: tensor(1.3045e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0041, requires_grad=True)}\n",
-      "Epoch: 12\t Loss: tensor(5.6551e-10, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9992, requires_grad=True)}\n",
-      "Epoch: 13\t Loss: tensor(1.7476e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 14\t Loss: tensor(6.9568e-11, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0006, requires_grad=True)}\n",
-      "Epoch: 15\t Loss: tensor(5.0735e-11, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9995, requires_grad=True)}\n",
-      "Epoch: 16\t Loss: tensor(1.3925e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0006, requires_grad=True)}\n",
-      "Epoch: 17\t Loss: tensor(8.8450e-09, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9919, requires_grad=True)}\n",
-      "Epoch: 18\t Loss: tensor(1.6190e-08, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9982, requires_grad=True)}\n",
-      "Epoch: 19\t Loss: tensor(4.9945e-10, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0004, requires_grad=True)}\n",
-      "Epoch: 20\t Loss: tensor(1.4479e-10, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(4.9999, requires_grad=True)}\n",
-      "Epoch: 21\t Loss: tensor(1.6628e-11, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 22\t Loss: tensor(2.2382e-11, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0001, requires_grad=True)}\n",
-      "Epoch: 23\t Loss: tensor(5.3735e-14, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 24\t Loss: tensor(1.0881e-12, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 25\t Loss: tensor(2.5580e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 26\t Loss: tensor(5.4812e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 27\t Loss: tensor(3.2085e-14, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 28\t Loss: tensor(8.4122e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 29\t Loss: tensor(2.7203e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 30\t Loss: tensor(1.9121e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 31\t Loss: tensor(8.4122e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 32\t Loss: tensor(4.6185e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 33\t Loss: tensor(3.9968e-15, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 34\t Loss: tensor(7.1054e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 35\t Loss: tensor(1.6032e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 36\t Loss: tensor(4.5475e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 37\t Loss: tensor(2.7756e-15, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 38\t Loss: tensor(8.7041e-14, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 39\t Loss: tensor(5.3735e-14, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 40\t Loss: tensor(3.0226e-14, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 41\t Loss: tensor(1.0020e-12, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 42\t Loss: tensor(1.3927e-12, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 43\t Loss: tensor(2.7756e-15, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 44\t Loss: tensor(6.8967e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 45\t Loss: tensor(9.9876e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 46\t Loss: tensor(4.7973e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 47\t Loss: tensor(7.1054e-15, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 48\t Loss: tensor(5.8731e-14, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n",
-      "Epoch: 49\t Loss: tensor(7.2131e-13, grad_fn=<MseLossBackward>)\n",
-      "{'w': Parameter containing:\n",
-      "tensor(5.0000, requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.5},\n",
-    "    max_epochs=50,\n",
-    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'w': Parameter containing:\n",
-       " tensor(5.0000, requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 31
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000,  0.0000],\n",
-       "        [ 0.0100,  0.0100],\n",
-       "        [ 0.0200,  0.0200],\n",
-       "        ...,\n",
-       "        [-0.0806,  9.9701],\n",
-       "        [-0.0714,  9.9801],\n",
-       "        [-0.0619,  9.9901]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 32
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(1000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:50:16.883496</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m296470cd3f\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m296470cd3f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m296470cd3f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m296470cd3f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m296470cd3f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m296470cd3f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m296470cd3f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"md0cef0eedd\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"261.217017\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.20 -->\n      <g transform=\"translate(7.2 265.016235)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"230.976797\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.15 -->\n      <g transform=\"translate(7.2 234.776016)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"200.736578\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.10 -->\n      <g transform=\"translate(7.2 204.535797)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"170.496359\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −0.05 -->\n      <g transform=\"translate(7.2 174.295578)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"140.25614\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055358)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"110.01592\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.05 -->\n      <g transform=\"translate(15.579688 113.815139)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"79.775701\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.10 -->\n      <g transform=\"translate(15.579688 83.57492)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"49.535482\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.15 -->\n      <g transform=\"translate(15.579688 53.334701)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#md0cef0eedd\" y=\"19.295263\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 0.20 -->\n      <g transform=\"translate(15.579688 23.094482)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pb21b46b23a)\" d=\"M 61.07804 140.25614 \nL 64.002816 87.642323 \nL 65.627692 62.330998 \nL 66.927593 45.504219 \nL 67.90252 35.331861 \nL 68.877446 27.515873 \nL 69.527395 23.703297 \nL 70.177345 21.05528 \nL 70.827295 19.598272 \nL 71.15227 19.321415 \nL 71.477245 19.346838 \nL 71.80222 19.674471 \nL 72.127194 20.303493 \nL 72.777144 22.458673 \nL 73.427094 25.79084 \nL 74.077044 30.266703 \nL 75.051968 39.024096 \nL 76.026893 50.054938 \nL 77.326792 67.864363 \nL 78.951668 94.090007 \nL 81.226492 135.226409 \nL 84.476241 193.78373 \nL 86.101115 218.956302 \nL 87.401015 235.636875 \nL 88.375939 245.682782 \nL 89.350864 253.361043 \nL 90.000814 257.077053 \nL 90.650763 259.625836 \nL 91.300713 260.981915 \nL 91.625688 261.207988 \nL 91.950663 261.131744 \nL 92.275638 260.753381 \nL 92.600613 260.073837 \nL 93.250563 257.818755 \nL 93.900514 254.389021 \nL 94.550464 249.818917 \nL 95.525389 240.928448 \nL 96.500313 229.777103 \nL 97.800213 211.831201 \nL 99.425087 185.481272 \nL 101.699911 144.270253 \nL 104.94966 85.819079 \nL 106.574534 60.78704 \nL 107.874434 44.253863 \nL 108.849359 34.33512 \nL 109.824283 26.795134 \nL 110.474233 23.175952 \nL 111.124183 20.726593 \nL 111.449158 19.948706 \nL 111.774133 19.471532 \nL 112.099107 19.296252 \nL 112.424082 19.423308 \nL 112.749057 19.852383 \nL 113.074032 20.582405 \nL 113.723982 22.937244 \nL 114.373932 26.464292 \nL 115.023881 31.128314 \nL 115.998806 40.151227 \nL 116.973731 51.422282 \nL 118.27363 69.503382 \nL 119.898505 95.975711 \nL 122.498304 143.305854 \nL 125.423077 195.599354 \nL 127.047956 220.489103 \nL 128.347855 236.873721 \nL 129.32278 246.66458 \nL 130.297705 254.06575 \nL 130.947654 257.587842 \nL 131.597604 259.937598 \nL 131.922579 260.665052 \nL 132.247554 261.09154 \nL 132.572529 261.216 \nL 132.897504 261.038133 \nL 133.222478 260.558373 \nL 133.547453 259.777918 \nL 134.197403 257.323485 \nL 134.847353 253.699347 \nL 135.497303 248.941733 \nL 136.472227 239.786988 \nL 137.447152 228.397016 \nL 138.747051 210.181975 \nL 140.371926 183.589089 \nL 142.971725 136.190367 \nL 145.571524 89.433552 \nL 147.196398 63.856923 \nL 148.496298 46.748591 \nL 149.471222 36.331801 \nL 150.446147 28.248933 \nL 151.096097 24.248901 \nL 151.746047 21.407976 \nL 152.395996 19.754536 \nL 152.720971 19.37876 \nL 153.045946 19.305111 \nL 153.370921 19.533771 \nL 153.695896 20.06418 \nL 154.345846 22.024173 \nL 154.995795 25.165496 \nL 155.645745 29.456768 \nL 156.62067 37.952985 \nL 157.595594 48.746705 \nL 158.895494 66.2865 \nL 160.520368 92.264586 \nL 162.795192 133.247178 \nL 166.044941 191.999504 \nL 167.669816 217.440868 \nL 168.969715 234.405328 \nL 169.94464 244.697072 \nL 170.919564 252.643296 \nL 171.569514 256.547293 \nL 172.219464 259.289353 \nL 172.869414 260.84208 \nL 173.194389 261.167126 \nL 173.519363 261.189954 \nL 173.844338 260.91051 \nL 174.169313 260.329497 \nL 174.819263 258.269315 \nL 175.469213 255.029984 \nL 176.119163 250.643866 \nL 177.094087 242.013384 \nL 178.069012 231.097656 \nL 179.368911 213.41895 \nL 180.993786 187.312993 \nL 183.26861 146.250122 \nL 186.518359 87.595865 \nL 188.143233 62.291542 \nL 189.443133 45.472153 \nL 190.418057 35.306185 \nL 191.39299 27.497155 \nL 192.042955 23.68949 \nL 192.69292 21.046538 \nL 193.342885 19.594721 \nL 193.667868 19.320495 \nL 193.992851 19.348551 \nL 194.317833 19.678815 \nL 194.642816 20.310468 \nL 195.292781 22.470876 \nL 195.942746 25.808189 \nL 196.592712 30.289053 \nL 197.56766 39.053548 \nL 198.542607 50.090879 \nL 199.842538 67.907721 \nL 201.467451 94.140232 \nL 203.742329 135.280851 \nL 206.992156 193.832216 \nL 208.617069 218.996686 \nL 209.916999 235.668652 \nL 210.891947 245.70707 \nL 211.866895 253.377121 \nL 212.51686 257.087345 \nL 213.166826 259.630144 \nL 213.816791 260.980121 \nL 214.141774 261.203112 \nL 214.466756 261.123786 \nL 214.791739 260.742332 \nL 215.116721 260.059705 \nL 215.766687 257.798504 \nL 216.416652 254.362777 \nL 217.066617 249.786851 \nL 218.041565 240.888136 \nL 219.016513 229.729266 \nL 220.316443 211.774797 \nL 221.941357 185.417019 \nL 224.216235 144.201289 \nL 227.466061 85.757255 \nL 229.090974 60.734661 \nL 230.390905 44.211442 \nL 231.365853 34.30136 \nL 232.340801 26.770836 \nL 232.990766 23.158315 \nL 233.640731 20.715814 \nL 233.965714 19.941415 \nL 234.290696 19.467747 \nL 234.615679 19.296 \nL 234.940662 19.426597 \nL 235.265644 19.859205 \nL 235.590627 20.592751 \nL 236.240592 22.954583 \nL 236.890557 26.488472 \nL 237.540523 31.159109 \nL 238.515471 40.191403 \nL 239.490418 51.470966 \nL 240.790349 69.561746 \nL 242.415262 96.042889 \nL 245.015123 143.378172 \nL 247.614984 190.2201 \nL 249.239897 215.920152 \nL 250.539828 233.160334 \nL 251.514776 243.691931 \nL 252.489724 251.900413 \nL 253.139689 255.988801 \nL 253.789654 258.920742 \nL 254.439619 260.666944 \nL 254.764602 261.089476 \nL 255.089585 261.209962 \nL 255.414567 261.028103 \nL 255.73955 260.544359 \nL 256.064532 259.759939 \nL 256.714498 257.297647 \nL 257.364463 253.66583 \nL 258.014428 248.90079 \nL 258.989376 239.735555 \nL 259.964324 228.336066 \nL 261.264254 210.110255 \nL 262.889168 183.507636 \nL 265.489029 136.103431 \nL 268.08889 89.354446 \nL 269.713803 63.789177 \nL 271.013733 46.693048 \nL 271.988681 36.286947 \nL 272.963629 28.215813 \nL 273.613594 24.224063 \nL 274.26356 21.391699 \nL 274.913525 19.747011 \nL 275.238507 19.37566 \nL 275.56349 19.306445 \nL 275.888473 19.539557 \nL 276.213455 20.074391 \nL 276.863421 22.04318 \nL 277.513386 25.193145 \nL 278.163351 29.492809 \nL 279.138299 38.000958 \nL 280.113247 48.805582 \nL 281.413177 66.357878 \nL 283.038091 92.34758 \nL 285.312969 133.337601 \nL 288.562795 192.081011 \nL 290.187708 217.509676 \nL 291.487639 234.460555 \nL 292.462587 244.740448 \nL 293.437535 252.673685 \nL 294.0875 256.568535 \nL 294.737465 259.301141 \nL 295.38743 260.844216 \nL 295.712413 261.164387 \nL 296.037396 261.18233 \nL 296.362378 260.897992 \nL 296.687361 260.312104 \nL 297.337326 258.242242 \nL 297.987291 254.993421 \nL 298.637257 250.59811 \nL 299.612204 241.954551 \nL 300.587152 231.026918 \nL 301.887083 213.334613 \nL 303.511996 187.216084 \nL 305.786874 146.145356 \nL 309.036701 87.501281 \nL 310.661614 62.211072 \nL 311.961544 45.406688 \nL 312.936492 35.25376 \nL 313.91144 27.459015 \nL 314.561405 23.661372 \nL 315.211371 21.028738 \nL 315.861336 19.587403 \nL 316.186318 19.31845 \nL 316.511301 19.351786 \nL 316.836284 19.687323 \nL 317.161266 20.32423 \nL 317.811232 22.49502 \nL 318.461197 25.842472 \nL 319.111162 30.333141 \nL 320.08611 39.111488 \nL 321.061042 50.161373 \nL 322.360973 67.992405 \nL 323.985886 94.237862 \nL 326.260764 135.386333 \nL 329.510591 193.926872 \nL 331.135504 219.07685 \nL 332.435434 235.733586 \nL 333.410382 245.758854 \nL 334.38533 253.414594 \nL 335.035295 257.114796 \nL 335.685261 259.647312 \nL 336.335226 260.986827 \nL 336.660209 261.204563 \nL 336.985191 261.119965 \nL 337.310174 260.733257 \nL 337.635156 260.045394 \nL 338.285122 257.773847 \nL 338.935087 254.328026 \nL 339.585052 249.742357 \nL 340.56 240.82989 \nL 341.534948 229.658583 \nL 342.834878 211.690055 \nL 344.459792 185.319515 \nL 347.059653 138.04896 \nL 349.984496 85.663482 \nL 351.609409 60.655578 \nL 352.90934 44.147726 \nL 353.884288 34.250882 \nL 354.859236 26.734742 \nL 355.509201 23.132278 \nL 356.159166 20.700105 \nL 356.484149 19.930943 \nL 356.809131 19.462529 \nL 357.134114 19.296054 \nL 357.459097 19.431914 \nL 357.784079 19.869785 \nL 358.109062 20.608568 \nL 358.759027 22.980737 \nL 359.408992 26.524711 \nL 360.058958 31.20508 \nL 361.033906 40.251083 \nL 362.008853 51.543029 \nL 363.308784 69.64775 \nL 364.933697 96.141474 \nL 367.533558 143.483998 \nL 370.133419 190.316523 \nL 371.758332 216.002804 \nL 373.058263 233.228215 \nL 374.033211 243.746933 \nL 375.008159 251.94132 \nL 375.658124 256.019785 \nL 376.308089 258.941497 \nL 376.958054 260.677263 \nL 377.283037 261.094523 \nL 377.60802 261.209745 \nL 377.933002 261.022614 \nL 378.257985 260.533617 \nL 378.582967 259.74396 \nL 379.232933 257.271349 \nL 379.882898 253.629492 \nL 380.532863 248.854764 \nL 381.507811 239.675903 \nL 382.482759 228.26412 \nL 383.782689 210.024494 \nL 385.407603 183.409501 \nL 385.732585 177.707911 \nL 385.732585 177.707911 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb21b46b23a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot\n",
-    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb b/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
deleted file mode 100644
index 3a821964..00000000
--- a/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
+++ /dev/null
@@ -1,732 +0,0 @@
-{
-  "nbformat": 4,
-  "nbformat_minor": 0,
-  "metadata": {
-    "colab": {
-      "name": "DuffingTest_DNN.ipynb",
-      "provenance": [],
-      "toc_visible": true
-    },
-    "kernelspec": {
-      "name": "python3",
-      "display_name": "Python 3"
-    },
-    "language_info": {
-      "name": "python"
-    }
-  },
-  "cells": [
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "5Z8Z-OzS6Z-G",
-        "outputId": "f83e0d3c-fb76-4938-8aac-3e01134a1969"
-      },
-      "source": [
-        "!pip install pytorch_lightning"
-      ],
-      "execution_count": 1,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Collecting pytorch_lightning\n",
-            "  Downloading pytorch_lightning-1.4.9-py3-none-any.whl (925 kB)\n",
-            "\u001b[?25l\r\u001b[K     |▍                               | 10 kB 21.7 MB/s eta 0:00:01\r\u001b[K     |▊                               | 20 kB 16.9 MB/s eta 0:00:01\r\u001b[K     |█                               | 30 kB 20.8 MB/s eta 0:00:01\r\u001b[K     |█▍                              | 40 kB 13.1 MB/s eta 0:00:01\r\u001b[K     |█▊                              | 51 kB 10.1 MB/s eta 0:00:01\r\u001b[K     |██▏                             | 61 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██▌                             | 71 kB 7.8 MB/s eta 0:00:01\r\u001b[K     |██▉                             | 81 kB 8.5 MB/s eta 0:00:01\r\u001b[K     |███▏                            | 92 kB 7.8 MB/s eta 0:00:01\r\u001b[K     |███▌                            | 102 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████                            | 112 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████▎                           | 122 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████▋                           | 133 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████                           | 143 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████▎                          | 153 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████▋                          | 163 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████                          | 174 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████▍                         | 184 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████▊                         | 194 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████                         | 204 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████▍                        | 215 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████▉                        | 225 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████▏                       | 235 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████▌                       | 245 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████▉                       | 256 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████▏                      | 266 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████▋                      | 276 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████                      | 286 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████▎                     | 296 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████▋                     | 307 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████                     | 317 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████▎                    | 327 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████▊                    | 337 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████                    | 348 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████▍                   | 358 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████▊                   | 368 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████                   | 378 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████▌                  | 389 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████▉                  | 399 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████▏                 | 409 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████▌                 | 419 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████▉                 | 430 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████▏                | 440 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████▋                | 450 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████                | 460 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████▎               | 471 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████▋               | 481 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████               | 491 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████▍              | 501 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████▊              | 512 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████              | 522 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████▍             | 532 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████▊             | 542 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████▏            | 552 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████▌            | 563 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████▉            | 573 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████▏           | 583 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████▌           | 593 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████▉           | 604 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▎          | 614 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▋          | 624 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████          | 634 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████▎         | 645 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████▋         | 655 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████         | 665 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████▍        | 675 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████▊        | 686 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████        | 696 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████▍       | 706 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████▊       | 716 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▏      | 727 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▌      | 737 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▉      | 747 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▏     | 757 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▌     | 768 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████     | 778 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▎    | 788 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▋    | 798 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████    | 808 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▎   | 819 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▊   | 829 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████   | 839 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▍  | 849 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▊  | 860 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████  | 870 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▍ | 880 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▉ | 890 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▏| 901 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▌| 911 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▉| 921 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 925 kB 8.4 MB/s \n",
-            "\u001b[?25hCollecting pyDeprecate==0.3.1\n",
-            "  Downloading pyDeprecate-0.3.1-py3-none-any.whl (10 kB)\n",
-            "Requirement already satisfied: tqdm>=4.41.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (4.62.3)\n",
-            "Collecting PyYAML>=5.1\n",
-            "  Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB)\n",
-            "\u001b[K     |████████████████████████████████| 596 kB 39.5 MB/s \n",
-            "\u001b[?25hRequirement already satisfied: torch>=1.6 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.9.0+cu111)\n",
-            "Requirement already satisfied: numpy>=1.17.2 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.19.5)\n",
-            "Collecting torchmetrics>=0.4.0\n",
-            "  Downloading torchmetrics-0.5.1-py3-none-any.whl (282 kB)\n",
-            "\u001b[K     |████████████████████████████████| 282 kB 51.8 MB/s \n",
-            "\u001b[?25hCollecting fsspec[http]!=2021.06.0,>=2021.05.0\n",
-            "  Downloading fsspec-2021.10.1-py3-none-any.whl (125 kB)\n",
-            "\u001b[K     |████████████████████████████████| 125 kB 36.6 MB/s \n",
-            "\u001b[?25hRequirement already satisfied: packaging>=17.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (21.0)\n",
-            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (3.7.4.3)\n",
-            "Requirement already satisfied: tensorboard>=2.2.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (2.6.0)\n",
-            "Collecting future>=0.17.1\n",
-            "  Downloading future-0.18.2.tar.gz (829 kB)\n",
-            "\u001b[K     |████████████████████████████████| 829 kB 20.7 MB/s \n",
-            "\u001b[?25hCollecting aiohttp\n",
-            "  Downloading aiohttp-3.7.4.post0-cp37-cp37m-manylinux2014_x86_64.whl (1.3 MB)\n",
-            "\u001b[K     |████████████████████████████████| 1.3 MB 40.5 MB/s \n",
-            "\u001b[?25hRequirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.23.0)\n",
-            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging>=17.0->pytorch_lightning) (2.4.7)\n",
-            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (3.3.4)\n",
-            "Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.12.0)\n",
-            "Requirement already satisfied: grpcio>=1.24.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.41.0)\n",
-            "Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.8.0)\n",
-            "Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.35.0)\n",
-            "Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (57.4.0)\n",
-            "Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.0.1)\n",
-            "Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.37.0)\n",
-            "Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.4.6)\n",
-            "Requirement already satisfied: tensorboard-data-server<0.7.0,>=0.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.6.1)\n",
-            "Requirement already satisfied: protobuf>=3.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (3.17.3)\n",
-            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from absl-py>=0.4->tensorboard>=2.2.0->pytorch_lightning) (1.15.0)\n",
-            "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (4.7.2)\n",
-            "Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (4.2.4)\n",
-            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (0.2.8)\n",
-            "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.7/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2.0->pytorch_lightning) (1.3.0)\n",
-            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from markdown>=2.6.8->tensorboard>=2.2.0->pytorch_lightning) (4.8.1)\n",
-            "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /usr/local/lib/python3.7/dist-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (0.4.8)\n",
-            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2021.5.30)\n",
-            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (3.0.4)\n",
-            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (1.24.3)\n",
-            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.10)\n",
-            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2.0->pytorch_lightning) (3.1.1)\n",
-            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (21.2.0)\n",
-            "Collecting yarl<2.0,>=1.0\n",
-            "  Downloading yarl-1.7.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (271 kB)\n",
-            "\u001b[K     |████████████████████████████████| 271 kB 68.3 MB/s \n",
-            "\u001b[?25hCollecting multidict<7.0,>=4.5\n",
-            "  Downloading multidict-5.2.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (160 kB)\n",
-            "\u001b[K     |████████████████████████████████| 160 kB 67.3 MB/s \n",
-            "\u001b[?25hCollecting async-timeout<4.0,>=3.0\n",
-            "  Downloading async_timeout-3.0.1-py3-none-any.whl (8.2 kB)\n",
-            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->markdown>=2.6.8->tensorboard>=2.2.0->pytorch_lightning) (3.6.0)\n",
-            "Building wheels for collected packages: future\n",
-            "  Building wheel for future (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
-            "  Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491070 sha256=8c063018aa301dc492d85fbe4044ef8bf855372d849f3b6f40c44a7b52ea1f17\n",
-            "  Stored in directory: /root/.cache/pip/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0\n",
-            "Successfully built future\n",
-            "Installing collected packages: multidict, yarl, async-timeout, fsspec, aiohttp, torchmetrics, PyYAML, pyDeprecate, future, pytorch-lightning\n",
-            "  Attempting uninstall: PyYAML\n",
-            "    Found existing installation: PyYAML 3.13\n",
-            "    Uninstalling PyYAML-3.13:\n",
-            "      Successfully uninstalled PyYAML-3.13\n",
-            "  Attempting uninstall: future\n",
-            "    Found existing installation: future 0.16.0\n",
-            "    Uninstalling future-0.16.0:\n",
-            "      Successfully uninstalled future-0.16.0\n",
-            "Successfully installed PyYAML-6.0 aiohttp-3.7.4.post0 async-timeout-3.0.1 fsspec-2021.10.1 future-0.18.2 multidict-5.2.0 pyDeprecate-0.3.1 pytorch-lightning-1.4.9 torchmetrics-0.5.1 yarl-1.7.0\n"
-          ]
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "id": "zu5Sh81e6N9a"
-      },
-      "source": [
-        "import torch\n",
-        "from pytorch_lightning import LightningModule\n",
-        "import torch.nn.functional as F\n",
-        "from torch import nn\n",
-        "from torch.utils.data import DataLoader, TensorDataset\n",
-        "\n",
-        "import matplotlib.pyplot as plt\n",
-        "import mpl_toolkits.mplot3d.axes3d as p3"
-      ],
-      "execution_count": 2,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "id": "Pf5K_82g5blO"
-      },
-      "source": [
-        "class ODEDNNSolver(LightningModule):\n",
-        "    def __init__(\n",
-        "        self, ode, init_vars, init_coeffs, dt, solver=\"euler\", outvar=None, **kwargs\n",
-        "    ):\n",
-        "        super().__init__(**kwargs)\n",
-        "\n",
-        "        if ode.keys() != init_vars.keys():\n",
-        "            raise ValueError(\"Inconsistent keys in ode and init_vars\")\n",
-        "\n",
-        "        if solver == \"euler\":\n",
-        "            self.step_solver = self.euler_step\n",
-        "        elif solver == \"rk4\":\n",
-        "            self.step_solver = self.runge_kutta_4_step\n",
-        "        else:\n",
-        "            raise ValueError(f\"Unrecognized solver {solver}\")\n",
-        "\n",
-        "        for name, value in init_coeffs.items():\n",
-        "            self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n",
-        "        \n",
-        "        self.ode = ode\n",
-        "        self.var_names = ode.keys()\n",
-        "        self.init_vars = {\n",
-        "            name: torch.tensor(value, device=self.device)\n",
-        "            for name, value in init_vars.items()\n",
-        "        }\n",
-        "        self.coeffs = {name: param for name, param in self.named_parameters()}\n",
-        "\n",
-        "        self.dnn = nn.Sequential(\n",
-        "            nn.Linear(1,10),\n",
-        "            nn.ReLU(),\n",
-        "            nn.Linear(10,1),\n",
-        "            nn.Tanh()\n",
-        "        )\n",
-        "\n",
-        "        self.outvar = self.var_names if outvar is None else outvar\n",
-        "        self.dt = dt\n",
-        "        self.criterion = F.mse_loss\n",
-        "\n",
-        "    def euler_step(self, prev_val):\n",
-        "        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}\n",
-        "        for var in self.var_names:\n",
-        "            pred[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnn) * self.dt\n",
-        "        return pred\n",
-        "\n",
-        "    def runge_kutta_4_step(self, prev_val):\n",
-        "        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}\n",
-        "\n",
-        "        k_1 = prev_val\n",
-        "        k_2 = {}\n",
-        "        k_3 = {}\n",
-        "        k_4 = {}\n",
-        "\n",
-        "        for var in self.var_names:\n",
-        "            k_2[var] = (\n",
-        "                prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnn) * 0.5 * self.dt\n",
-        "            )\n",
-        "\n",
-        "        for var in self.var_names:\n",
-        "            k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs, self.dnn) * 0.5 * self.dt\n",
-        "\n",
-        "        for var in self.var_names:\n",
-        "            k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs, self.dnn) * self.dt\n",
-        "\n",
-        "        for var in self.var_names:\n",
-        "            result = self.ode[var](k_1, self.coeffs, self.dnn) / 6\n",
-        "            result += self.ode[var](k_2, self.coeffs, self.dnn) / 3\n",
-        "            result += self.ode[var](k_3, self.coeffs, self.dnn) / 3\n",
-        "            result += self.ode[var](k_4, self.coeffs, self.dnn) / 6\n",
-        "            pred[var] = prev_val[var] + result * self.dt\n",
-        "\n",
-        "        return pred\n",
-        "\n",
-        "    def solver(self, nt):\n",
-        "        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}\n",
-        "\n",
-        "        for n in range(nt - 1):\n",
-        "            # create dictionary containing values from previous time step\n",
-        "            prev_val = {var: pred[var][[n]] for var in self.var_names}\n",
-        "            new_val = self.step_solver(prev_val)\n",
-        "            for var in self.var_names:\n",
-        "                pred[var] = torch.cat([pred[var], new_val[var]])\n",
-        "\n",
-        "        # reformat output to contain desired (observed) variables\n",
-        "        return torch.stack([pred[var] for var in self.outvar], dim=1)\n",
-        "\n",
-        "    def forward(self, nt):\n",
-        "        return self.solver(nt)\n",
-        "\n",
-        "    def get_coeffs(self):\n",
-        "        return {name: param.item() for name, param in self.named_parameters()}\n",
-        "\n",
-        "    def fit(\n",
-        "        self,\n",
-        "        x,\n",
-        "        optim,\n",
-        "        optim_params=None,\n",
-        "        max_epochs=10,\n",
-        "        scheduler=None,\n",
-        "        scheduler_params=None,\n",
-        "    ):\n",
-        "        \"\"\"Fits model to the given data by comparing the whole dataset\n",
-        "        Args:\n",
-        "            x (torch.Tensor): Original time series data\n",
-        "            optim (torch.optim): Optimizer\n",
-        "            optim_params: Optimizer parameters\n",
-        "            max_epochs (int): Number of training epochs\n",
-        "            scheduler (torch.optim.lr_scheduler): Learning rate scheduler\n",
-        "            scheduler_params: Learning rate scheduler parameters\n",
-        "        \"\"\"\n",
-        "        dataset = TensorDataset(x)\n",
-        "        n = dataset.__len__()\n",
-        "        loader = DataLoader(dataset, batch_size=n)\n",
-        "\n",
-        "        if optim_params is not None:\n",
-        "            optimizer = optim(self.parameters(), **optim_params)\n",
-        "        else:\n",
-        "            optimizer = optim(self.parameters())\n",
-        "\n",
-        "        if scheduler is not None:\n",
-        "            if scheduler_params is not None:\n",
-        "                lr_scheduler = scheduler(optimizer, **scheduler_params)\n",
-        "            else:\n",
-        "                lr_scheduler = scheduler(optimizer)\n",
-        "\n",
-        "        for epoch in range(max_epochs):\n",
-        "            for i, data in enumerate(loader, 0):\n",
-        "                self.zero_grad()\n",
-        "                loss = self._step(data, i, n)\n",
-        "                loss.backward(retain_graph=True)\n",
-        "                optimizer.step()\n",
-        "            if scheduler is not None:\n",
-        "                lr_scheduler.step()\n",
-        "\n",
-        "            print(\"Epoch: \" + str(epoch) + \"\\t Loss: \" + str(loss))\n",
-        "            print(self.coeffs)\n",
-        "            # Testing to see that self.dnns changes\n",
-        "            print(\"DNN(1)\", self.dnn(torch.Tensor([1.])))\n",
-        "\n",
-        "    def fit_random_sample(\n",
-        "        self,\n",
-        "        x,\n",
-        "        optim,\n",
-        "        optim_params=None,\n",
-        "        max_epochs=10,\n",
-        "        batch_size=64,\n",
-        "        scheduler=None,\n",
-        "        scheduler_params=None,\n",
-        "    ):\n",
-        "        \"\"\"Fits model to the given data by using random samples for each batch\n",
-        "        Args:\n",
-        "            x (torch.Tensor): Original time series data\n",
-        "            optim (torch.optim): Optimizer\n",
-        "            optim_params: Optimizer parameters\n",
-        "            max_epochs (int): Number of training epochs\n",
-        "            batch_size (int): Batch size for torch.utils.data.DataLoader\n",
-        "            scheduler (torch.optim.lr_scheduler): Learning rate scheduler\n",
-        "            scheduler_params: Learning rate scheduler parameters\n",
-        "        \"\"\"\n",
-        "        dataset = TensorDataset(x)\n",
-        "        loader = DataLoader(dataset, batch_size=batch_size)\n",
-        "\n",
-        "        if optim_params is not None:\n",
-        "            optimizer = optim(self.parameters(), **optim_params)\n",
-        "        else:\n",
-        "            optimizer = optim(self.parameters())\n",
-        "\n",
-        "        if scheduler is not None:\n",
-        "            if scheduler_params is not None:\n",
-        "                lr_scheduler = scheduler(optimizer, **scheduler_params)\n",
-        "            else:\n",
-        "                lr_scheduler = scheduler(optimizer)\n",
-        "\n",
-        "        for epoch in range(max_epochs):\n",
-        "            for i, data in enumerate(loader, 0):\n",
-        "                self.zero_grad()\n",
-        "\n",
-        "                n = data[0].shape[0]\n",
-        "\n",
-        "                if n < 3:\n",
-        "                    continue\n",
-        "\n",
-        "                # Takes a random data point from \"data\"\n",
-        "                ri = torch.randint(low=0, high=n - 2, size=()).item()\n",
-        "                single_point = data[0][ri : ri + 1, :]\n",
-        "                init_point = {\n",
-        "                    var: single_point[0, i] for i, var in enumerate(self.var_names)\n",
-        "                }\n",
-        "\n",
-        "                pred = {\n",
-        "                    name: value.unsqueeze(0) for name, value in self.init_vars.items()\n",
-        "                }\n",
-        "\n",
-        "                pred = self.step_solver(init_point)\n",
-        "\n",
-        "                predictions = torch.stack([pred[var] for var in self.outvar], dim=0)\n",
-        "\n",
-        "                # Compare numerical integration data with next data point\n",
-        "                loss = self.criterion(predictions, data[0][ri + 1, :])\n",
-        "\n",
-        "                loss.backward(retain_graph=True)\n",
-        "                optimizer.step()\n",
-        "\n",
-        "            if scheduler is not None:\n",
-        "                lr_scheduler.step()\n",
-        "\n",
-        "            print(\"Epoch: \" + str(epoch) + \"\\t Loss: \" + str(loss))\n",
-        "            print(self.coeffs)\n",
-        "            # Testing to see that self.dnns changes\n",
-        "            print(\"DNN(1)\", self.dnn(torch.Tensor([1.])))\n",
-        "\n",
-        "    def _step(self, batch, batch_idx, num_batches):\n",
-        "        (x,) = batch\n",
-        "        nt = x.shape[0]\n",
-        "        pred = self(nt)\n",
-        "        return self.criterion(pred, x)"
-      ],
-      "execution_count": 3,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "id": "vhzCXiGS7vcj"
-      },
-      "source": [
-        "# Duffing equation: Second order ODE system\n",
-        "dt = 0.01\n",
-        "\n",
-        "def x_prime(prev_val, coeffs, dnns):\n",
-        "    return prev_val[\"x_\"]\n",
-        "\n",
-        "def x_prime_prime(prev_val, coeffs, dnns):\n",
-        "    return 0.8*torch.cos(0.5*prev_val[\"t\"]) - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n",
-        "\n",
-        "def t_prime(prev_val, coeffs, dnns):\n",
-        "    return 1\n",
-        "\n",
-        "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"t\": t_prime}\n",
-        "\n",
-        "# Initial conditions [0,0,0]\n",
-        "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
-        "\n",
-        "# Constants (Parameters)\n",
-        "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2}"
-      ],
-      "execution_count": 4,
-      "outputs": []
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "0-Om8KZe7zHS"
-      },
-      "source": [
-        "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "id": "NwF7ddNl71cq"
-      },
-      "source": [
-        "ode_solver = ODEDNNSolver(\n",
-        "    ode=ode,\n",
-        "    init_vars=ode_init,\n",
-        "    init_coeffs=ode_coeffs,\n",
-        "    dt=dt,\n",
-        "    solver=\"rk4\"\n",
-        ")\n",
-        "\n",
-        "result = ode_solver(1000)"
-      ],
-      "execution_count": 5,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 265
-        },
-        "id": "UnDf8azV8W0p",
-        "outputId": "6eca4784-0e7d-4537-95d8-94ec220d1156"
-      },
-      "source": [
-        "result_np = result.detach().numpy() # Convert to numpy array\n",
-        "\n",
-        "# 2D plot of X and Z\n",
-        "plt.plot(result_np[:,2], result_np[:,0])\n",
-        "\n",
-        "plt.show()"
-      ],
-      "execution_count": 6,
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD4CAYAAADvsV2wAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3deXiU5dn+8e+VnSQQCAkBsi/sIFvCroKgAlYBFUTrWq1apa6t2vparbbWtrbVt1KVIq644IagKG4ooGwBCQRCICQhK0kgJISQfe7fH4n98VLCNsszmbk+x5GDmcnD3OcInnl4lvsWYwxKKaU8n4/VAZRSSrmGFr5SSnkJLXyllPISWvhKKeUltPCVUspL+Fkd4GQiIiJMQkKC1TGUUqrD2Lx58wFjTOSJvufWhZ+QkEB6errVMZRSqsMQkX3tfU8P6SillJdwSOGLyCIRKReRzHa+P1FEqkVka9vX7xwxrlJKqdPnqEM6rwDPAa+dZJs1xpifOGg8pZRSZ8ghe/jGmNVApSPeSymllHO48hj+WBHJEJFPRWSQC8dVSimF667S2QLEG2OOiMh0YCnQ50QbisitwK0AcXFxLoqnlFKezyV7+MaYw8aYI22PVwD+IhLRzrYLjDGpxpjUyMgTXkqqlFLqLLhkD19EegJlxhgjIqNo/UFz0BVjq9NXfbSJbcVV5JQfoaa+mSB/H6K6BDE8thux4Z0QEasjKqXs4JDCF5G3gIlAhIgUAY8C/gDGmBeAK4FfiEgzUAfMNToRv1swxvD1rnJeW7ePtTkHaLGd+I8lKTKEK0fGcO2YeLoE+bs4pVLKEcSdezc1NdXonbbOk55fyWPLd5BZfJjeYUFcOqw35/WJpF/PzoR18qeh2UZh5VE25VfycUYpG/MrCevkz12T+3DjuAR8fXSPXyl3IyKbjTGpJ/yeFr73qW9q4c+f7eKV7/PpHdaJu6f0YdbwaPx9T35KJ7O4mr+uzObb3RWMiOvKP64aRnz3EBelVkqdDi189R9lh+u57fXNbC2s4vqx8TwwtT+hgad/ZM8Yw0dbS3h02Q4A/vXTEYxPOeH5d6WUBU5W+DqXjhfZU1bDZc+tZXdZDS9cO4LHZww+o7IHEBFmDo9m+bwJRHUJ5PpFG3l/c5GTEiulHEkL30vsKKnmqgXrsRn44I5xTB3cy673i+sezAd3jGdMUji/ei+DtzcWOCipUspZtPC9wK79h7l6wXqC/HxYcttY+vfs4pD3DQ3046Ub0ji/byQPfbCdpT8UO+R9lVLOoYXv4Uqq6rhx0SY6Bfjyzm1jSYxw7EnWIH9fXrxuJGOSwvn1exl8l3PAoe+vlHIcLXwPVl3XxI0vb6S2oZlXbhpFbHiwU8YJ9PPlxetSSYoI5bbXN7O7rMYp4yil7KOF76FabIZ5b24h70AtL14/kgG9HHMYpz1hnfx55WdpdArw5bbXN3O4vsmp4ymlzpwWvof6+xfZrNlzgCdmDGZcsmsum+wV1on514ygsPIo9y/JwNbOXbtKKWto4XuglTv2M3/VXq4eFcvcUa6dcXRUYji/nT6AL3aW8dLaPJeOrZQ6OS18D1NYeZRfLclgaEwYj11mzbIDN41P4KKBUfx1ZTZZpYctyaCU+m9a+B6kxWa4b8lWAJ67ZgSBfr6W5BARnrriHMKC/bnn7a3UN7VYkkMp9X9p4XuQ57/JYVP+IR6fOchpV+ScrvCQAP5y5Tlkl9Xw15XZlmZRSrXSwvcQGYVVPPPlHi4d2puZw6KtjgPApH49uHZMHIu+y2NLwSGr4yjl9bTwPUBdYwv3vLOVHp0D+cPMwW61UMlD0wbQs0sQv3l/O43NNqvjKOXVtPA9wDNf7ibvQC1Pzx5KWCf3WpwkNNCPx2cMJrushn+vybU6jlJeTQu/g9teVM2/1+Ry9ahYxrnpNMUXDoxi+pCePPvVHnIrjlgdRymvpYXfgTW12Hjg/W1EhAby0LQBVsc5qccuHUSgnw+/+2gH7rwGg1KeTAu/A1uwOpes0sM8MXOw2x3KOV6PLkHcd2Ff1uYc4POdZVbHUcoraeF3UHsrjvDsV3uYPqQnFw/qaXWc03LtmHj6RoXyh0926rX5SllAC78DMsbw8Ifb6eTva9ndtGfD39eHRy8dRGFlnU67oJQFtPA7oI+3lbI+t5IHpvajR+cgq+OckfEpEUwd1JPnvs6htLrO6jhKeRWHFL6ILBKRchHJbOf7IiL/KyI5IrJNREY4YlxvVNvQzB8/yWJwdBfmprl2YjRHefiSAbQYw18+0ztwlXIlR+3hvwJMPcn3pwF92r5uBZ530LheZ/6qHPYfruf3lw3C18d9brA6E7Hhwdw8IZGlW4vZUVJtdRylvIZDCt8YsxqoPMkmM4DXTKv1QFcRsW8VbS+Ud6CWf6/J5YoRMYyMD7c6jl1uPz+ZsE7+/Fn38pVyGVcdw48GCo95XtT22n8RkVtFJF1E0isqKlwSriMwxvD75TsI9PPlwWn9rI5jt7BO/syblMLq3RW6Dq5SLuJ2J22NMQuMManGmNTIyEir47iNr7LK+Sa7gnum9OlwJ2rbc93YeKK7duJPn2bp6lhKuYCrCr8YiD3meUzba+o01De18PjHO+nTI5QbxiVYHcdhAv18uf+ivmQWH2b5thKr4yjl8VxV+MuA69uu1hkDVBtjSl00dof379W5FFQe5bHLBuHv63b/KLPLzGHRDOjVhac/z9bZNJVyMkddlvkWsA7oJyJFInKziNwuIre3bbICyAVygH8DdzhiXG9QdOgo87/JYfqQnox308nR7OHjIzw4tR+FlXW8vanA6jhKeTQ/R7yJMebqU3zfAHc6Yixv8+SKLAAevmSgxUmc5/y+kaQldGP+qhzmpMYS5G/N0oxKeTrPOj7gYdbuOcCK7fuZNymF6K6drI7jNCLCvRf2pexwA29t1L18pZxFC99NNbXYeGz5DuLCg7nl3CSr4zjduOQIxiSF869v9lLXqBOrKeUMWvhu6tXv88kpP8Kjlw70mkMc907pS0VNA4s37LM6ilIeSQvfDZUfrueZL/cwqV8kkwdEWR3HZUYndWdCSgTPf7OXo43NVsdRyuNo4buhpz7bRWOzjd9d2nGmPnaUey/sy8HaRl5bp3v5SjmaFr6bSc+v5IMtxfz8vEQSI0KsjuNyI+O7MbFfJC9+u5cjDbqXr5QjaeG7kRab4Xcf7aBXWBB3TkqxOo5l7p3Sl0NHm3j1+3yroyjlUbTw3chbGwvYWXqYhy8ZQHCAQ26R6JCGxnZlUr9IFq7J1WP5SjmQFr6bqKxt5K8rsxmTFM4lQ3Tm6HkX9OHQ0Sbe3KDX5SvlKFr4buKvK7M50tDM4zMGI9IxFzZxpJHx3Rib1J0Fq3N1wXOlHEQL3w1sK6ri7U0F3Dgugb5Rna2O4zZ+eUEK5TUNvLu5yOooSnkELXyL2WyGRz7aQURoIPdM6WN1HLcyNrk7w+O68sI3e2lq0Zk0lbKXFr7FlqQXklFYxW+n96dzkL/VcdyKiPDLC1Iorqrjo606X75S9tLCt1DV0Ub+/Nku0hK6MXPYCVd89HqT+vVgYK8u/GtVDi26KpZSdtHCt9DfPt9NdV0Tv79MT9S2R0S4c1IKuQdq+TRT18xRyh5a+BbJLK5m8YZ9XDcmnoG9u1gdx61NHdyT5MgQnvs6h9alFZRSZ0ML3wI2m+F3H2XSLTiA+y7qZ3Uct+frI9wxMYVd+2v4Kqvc6jhKdVha+BZYkl7IloIqHpzWn7BOeqL2dMwY1pvorp144du9VkdRqsPSwnexipoGnlyRxajEcGaPjLE6Tofh5+vDz89NJH3fIdLzK62Oo1SHpIXvYk98vJP6JhtPzhqiJ2rP0Jy0WLoF+/Pi6lyroyjVIWnhu9A32eUsyyjhFxOTSekRanWcDic4wI/rxybwxc4ycsprrI6jVIfjkMIXkakiki0iOSLy0Am+f6OIVIjI1ravWxwxbkdS19jCIx9lkhQZwh2Tkq2O02FdPzaeIH8fFuhevlJnzO7CFxFfYD4wDRgIXC0iA0+w6TvGmGFtXwvtHbejefarPRRW1vHkrCEE+nnHGrXO0D00kDmpsXz4QzFlh+utjqNUh+KIPfxRQI4xJtcY0wi8DcxwwPt6jKzSw/x7TS5zUmMYk9Td6jgd3s/PTaLFZli0Ns/qKEp1KI4o/Gig8JjnRW2vHe8KEdkmIu+JSKwDxu0Qmlps/OrdDLoF+/Pb6QOsjuMRYsODueSc3izeUMDh+iar4yjVYbjqpO1yIMEYcw7wBfBqexuKyK0iki4i6RUVFS6K5zz/WrWXHSWH+cPMIXQNDrA6jse47bwkjjQ06wIpSp0BRxR+MXDsHntM22v/YYw5aIxpaHu6EBjZ3psZYxYYY1KNMamRkZEOiGedHSXV/PPrPcwY1pupg3taHcejDI4O49w+ESxam0dDsy6QotTpcEThbwL6iEiiiAQAc4Flx24gIseu2XcZkOWAcd1aY7ONX727jW4hATx26SCr43ik285LprymgaU/FJ96Y6WU/YVvjGkG5gEraS3yJcaYHSLyuIhc1rbZXSKyQ0QygLuAG+0d1909tyqHrNLDPDlrCN1C9FCOM4xP6c6g3l14cXUuNp06WalTcsgxfGPMCmNMX2NMsjHmj22v/c4Ys6zt8W+MMYOMMUONMZOMMbscMa67+qHgEPNX5TBreDQXDoyyOo7HEhFuPz+Z3Ipavtqlk6opdSp6p62D1dQ3cdfbP9CzSxCPXaaHcpxt2uCeRHftxMI1eiOWUqeihe9gjyzNpPhQHc/OHaYzYbqAn68PN41PYENeJZnF1VbHUcqtaeE70Adbili6tYS7J/clNSHc6jheY05aLKGBfrykN2IpdVJa+A6Sf6CWR5ZmMiohnHkXpFgdx6t0CfLnqrRYlmeUsL9ap1tQqj1a+A5Q19jC7W9sxs/Xh3/MHYavj0577Go3jkvAZgyvrsu3OopSbksL307GGH774Xayy2p4du4wort2sjqSV4oND2bq4J4sXr+P2oZmq+Mo5Za08O302rp9fPhDMfdO6cvEfj2sjuPVbp6QxOH6Zt7fUmR1FKXckha+HTblV/LExzuZ3L8H8ybpcXurjYzvxvC4rixam0eL3oil1H/Rwj9L+QdqufW1dGLDg/n7VcPw0eP2buGWCUnkHzzKV1llVkdRyu1o4Z+FQ7WN3PTKJgBevjFNr7d3IxcPimq9EUsv0VTqv2jhn6GG5hZue30zxYfqWHB9KgkRIVZHUsf48UasjXmVbC/SG7GUOpYW/hlobrFx3zsZbMyv5K+zzyFNb65yS///RiydbkGpY2nhnyabzfDg+9v5ZHsp/3PJAGYMO9GiXsod/Hgj1sfbSimtrrM6jlJuQwv/NBhjeHTZDt7fUsS9U/pyy7lJVkdSp/DjjVivr9tndRSl3IYW/im02AwPL83k9fX7uO28JO6arJdfdgSx4cFMGRDFWxsLqG/SFbGUAi38k2pstnH32z/w5oYC7piYzEPT+iOil192FDeOT+DQ0SaWZZRYHUWp02aMobK20Snv7eeUd/UANfVNzHvzB77dXcFvpvXntvOTrY6kztDYpO70i+rMq9/nM3tkjP6wVm6rqcXGprxKvswq56tdZbTYDGsemOTwv7Na+CeQf6CWW15LJ+9ALU9dPoS5o+KsjqTOgohw/bh4Hv4wk/R9h/SqKuVWSqrqWLf3IKuyy/l2dwU19c0E+PkwLrk7kwdE0WIz+Plq4TvV17vKuPedDETg9Z+NYlxKhNWRlB1mDY/mz5/u4pXv87XwlaXKa+pZt/cg63MPsm7vQfIPHgUgIjSAaYN7MnlAFBNSIggJdF4ta+G3qW9q4ckVWby2bh/9e3ZmwXWpxHUPtjqWslNwgB9XpcWy6Lt8Sqvr6BWms5kq16ioaWBTfiXr9h5kXe5BcsqPANA5yI/RieFcNzaBsUnd6d+zs8umZtHCB9bsqeDRZTvIrajl5gmJ/PrifgT5+1odSznI9WMTWLg2j8XrC/jVxf2sjqM81P7qejbkHWR9biUb8w6yt6IWgOAAX9ISwpk9Moaxyd0Z1DvMsjUzvLrw91Yc4emV2XyauZ/47sG8fvMozu0TaXUs5WCx4cFM7h/FmxsLmHdBiv4wVw5RdrieNXsOsCH3IBvyKimobD1E0znQj7TEcGanxjI6MZzB0WH4+7rHBZEOKXwRmQo8C/gCC40xTx33/UDgNWAkcBC4yhiT74ixz5Qxhi0Fh3j5u3w+2V5KkJ8vv7qo9WYqLQLPddP4BL7MKuPjbaVcOTLG6jiqA6pvaiE9/xDf7i5n9e4DZJfVANA12J9RCeHcMC6B0YnhDOjVxW1XvbO78EXEF5gPXAgUAZtEZJkxZucxm90MHDLGpIjIXODPwFX2jn26GpttZBRVsXp3BZ9sLyW3opaQAF9uPz+ZmyckEhEa6KooyiLjkrvTp0cor3yfxxUjovUSTXVaDtc38XVWOZ9mlvLt7grqm2wE+PqQmtCN34zoz7l9Il16DN5ejtjDHwXkGGNyAUTkbWAGcGzhzwAea3v8HvCciIgxximrVDyyNJPquiZq6psoOlRH3oFamm0GH4HU+HBuPy+Z6ef0ItSJZ8OVe2m9RDOBR5ZmsqXgECPj9YoddWL1TS18lrmfZRklrN1zgMYWG1FdApmTGsvEfpGMSepOcEDH7A5HpI4GCo95XgSMbm8bY0yziFQD3YEDx7+ZiNwK3AoQF3d217+v3lOBAKFBfsR3D+HCgVEMiQ5jXHIEYcE6d723unx4NH/5bBcvf5evha/+D2MM24qqWZJeyLKMEmrqm4nu2onrx8YzbUhPhsd26zB78Sfjdj+mjDELgAUAqampZ/UvgG9/PcmhmZRnCAn0Y05qLK9+n8/+6np6hgVZHUlZrKnFxortpSxck8f24mqC/H2YPrjXf064ekLJH8sRhV8MxB7zPKbttRNtUyQifkAYrSdvlXKp68fGs+i7PN7csI/7LtJLNL3V0cZm3txQwKK1eZRU15MUGcITMwczY1hvugR57lEARxT+JqCPiCTSWuxzgWuO22YZcAOwDrgS+NpZx++VOpn47iGc3zeStzcV8svJfdzmcjnlGg3NLby1oYDnVuVw4EgjoxPDeWLmYCb16+Fxe/MnYnfhtx2TnwespPWyzEXGmB0i8jiQboxZBrwEvC4iOUAlrT8UlLLEtaPjueW1dL7YWcb0Ib2sjqNcwBjD0q3FPL1yN8VVdYxODOfF6/p53bkchxzDN8asAFYc99rvjnlcD8x2xFhK2WtS/x5Ed+3EG+v3aeF7gez9NTzyUSYb8yoZEh3GU1cMYUJKhFdemut2J22VcjZfH+HqUbE8/flu9lYcITky1OpIygnqm1r4xxe7Wbg2j85Bfjw5awhz02K94tBNe/QApvJKc9Ji8fMRFq8vsDqKcoLtRdX85J9reXF1LleOiOHr+ydyzeg4ry570MJXXqpH5yCmDu7Je5sLqWvUJRA9RYvN8M+v9jDrX99RU9/Eaz8bxZ+vPIfwkACro7kFLXzlta4dE8/h+maWb9MlED3BodpGbnplE3/7YjfThvRi5T3ncV5fnQzxWHoMX3mt0Ynh9OkRyuL1+5iTGnvq36Dc1raiKn7xxhYqahp4ctYQrh4V65UnZU9F9/CV1xIRfjo6joyiarYVVVkdR52lFdtLufKFdRhjePf2sVwzOk7Lvh1a+MqrXT4yhk7+vryxfp/VUdQZMsawcE0ud765hSHRYSz/5QSGxna1OpZb08JXXq1LkD8zhvVmWUYJ1UebrI6jTpPNZnj845384ZMspg7qyeJbRtNdpzk/JS185fWuHRNPfZON97cUWR1FnYYWm+HB97fx8nf53DQ+geeuGaGLF50mLXzl9QZHhzEstiuLN+xDp3hyby02w6/fzeDdzUXcPbkPv/vJQLddXcodaeErRete/t6KWtbnVlodRbWjxWa4b8lWPvihmPsu7Mu9F/bVk7NnSAtfKeCSIb3oHOTH25v0zlt3ZIzhf5Zu56OtJfz64n7cNbmP1ZE6JC18pYBOAb7MGh7Np5n7qTraaHUcdZy/fb6btzYWMm9SCndOSrE6Toelha9Um7lpcTQ22/hgy/Hr9ygrLVqbx3Orcrh6VCz3X9TX6jgdmha+Um0G9u7C0Jgw3t5UoCdv3cRnmaU8/vFOpg7qyR9mDtFj9nbSwlfqGHNHxbG77AhbCvTOW6vtKKnm3ncyGB7XlWfmDtOrcRxAC1+pY1w6tDfBAb68vVFP3lqpoqaBn7+aTtdgf168bqReZ+8gWvhKHSM00I/Lhvbm422l1NTrnbdWaGhu4fY3NlN5tJF/X59Kj85BVkfyGFr4Sh1n7qg46ppa+GirTptshT+t2MXmfYf42+xhDI4OszqOR9HCV+o4Q2PC6N+zs16Tb4FPt5fyyvf53DIhkUvO0fWGHU0LX6njiAhXj4ojs/gwmcXVVsfxGgUHj/LAe9sYFtuVB6b2tzqOR9LCV+oEZg6LJtDPh7f05K1LNDS3cOebWxCB564ZToCfVpMz2PVfVUTCReQLEdnT9mu3drZrEZGtbV/L7BlTKVcIC/bnkiG9+GhrCUcbm62O4/H+/vluthdX8/TsocR0C7Y6jsey98foQ8BXxpg+wFdtz0+kzhgzrO3rMjvHVMol5o6K40hDMx9vK7U6ikfblF/JgjW5XDM6josG9bQ6jkezt/BnAK+2PX4VmGnn+ynlNtISupEcGaLX5DtRbUMz9y/JILZbMA9PH2B1HI9nb+FHGWN+3P3ZD0S1s12QiKSLyHoROekPBRG5tW3b9IqKCjvjKXX2RIS5aXFsKahid1mN1XE80h9XZFF46ChPzx5KSKCf1XE83ikLX0S+FJHME3zNOHY70zr5SHsTkMQbY1KBa4BnRCS5vfGMMQuMManGmNTIyMgz+SxKOdzlI6Lx9xWWbCq0OorHWb27gjc3FHDruUmMSgy3Oo5XOOWPVGPMlPa+JyJlItLLGFMqIr2A8nbeo7jt11wR+QYYDuw9u8hKuU730EAm94/iwx+KeXBaf/x99eoRR6hrbOHhpdtJigzh3gt1BkxXsfdv7zLghrbHNwAfHb+BiHQTkcC2xxHAeGCnneMq5TKzU2M4WNvI17tOuD+jzsIzX+2msLKOP80aovPkuJC9hf8UcKGI7AGmtD1HRFJFZGHbNgOAdBHJAFYBTxljtPBVh3F+30giOwfybroucu4IO0sOs3BNHlelxjI6qbvVcbyKXWdJjDEHgckneD0duKXt8ffAEHvGUcpKfr4+XD4imoVr8iivqdfJvOzQYjP85sPtdAv25zfT9W5aV9MDkkqdhtkjY2mxGZb+oKth2eON9fvIKKzikZ8MpGtwgNVxvI4WvlKnIaVHKCPiurIkvUhXwzpLB4808PTn2ZzbJ4LLhva2Oo5X0sJX6jTNSY0lp/wIWwt1Nayz8bcvdlPX2MKjlw7UpQotooWv1Gm65JxeBPn7sERP3p6xHSXVvLWxgOvHJpDSo7PVcbyWFr5Sp6lzkD/Th/Ti44wS6hpbrI7TYRhj+P3ynXQLDuDuyX2sjuPVtPCVOgOzR8ZS09DMZzt0QrXTtWL7fjbmVXL/RX0JC/a3Oo5X08JX6gyMTgwnLjxYr8k/TfVNLTy5IosBvbowNy3O6jheTwtfqTPg4yNcOTKG7/cepLDyqNVx3N5r6/IprqrjkZ8MwNdHT9RaTQtfqTN0xcgYROC9zbqXfzLVR5uYv2ovE/tFMi45wuo4Ci18pc5YdNdOTEiJ4L3NRdhsek1+e57/di+H65t44GK9o9ZdaOErdRZmp8ZSXFXHutyDVkdxS6XVdbz8XR4zh0UzsHcXq+OoNlr4Sp2FiwZG0SXIjyXpOk/+iTz75R6Mgft06mO3ooWv1FkI8vdlxrBoPsvcT3Vdk9Vx3EpOeQ1L0gu5dkw8seG6ILk70cJX6izNTo2hodnG8owSq6O4ladX7iY4wI95F6RYHUUdRwtfqbM0JDqM/j07864e1vmP3WU1fLZjPz8bn0B4iM6G6W608JU6SyKt1+RnFFWTvV8XOQeYvyqH4ABfbhqfaHUUdQJa+ErZYdbwaPx8RPfygfwDtSzPKOHaMfF00717t6SFr5QduocGMmVA6yLnjc02q+NY6oVv9+Ln68MtE3Tv3l1p4Stlpzlpush5SVUd728pYm5aLD266BKQ7koLXyk7ndcnkh6dA736sM6C1bkYA7edn2x1FHUSWvhK2cnP14crRsawKruc8sP1VsdxuYqaBt7aWMCs4dFEd+1kdRx1EnYVvojMFpEdImITkdSTbDdVRLJFJEdEHrJnTKXc0eyRMdgMfOCFi5y/tDaPphYbv5ioe/fuzt49/EzgcmB1exuIiC8wH5gGDASuFpGBdo6rlFtJigwlLaEbS9ILvWqR86qjjby+Lp9LzulNUmSo1XHUKdhV+MaYLGNM9ik2GwXkGGNyjTGNwNvADHvGVcodzU6NJbeili0Fh6yO4jKvfJ9PbWMLd07SvfuOwBXH8KOBY89mFbW9dkIicquIpItIekVFhdPDKeUolwzpRXCAL0s2ecc8+Ucamnn5u3ymDIiif0+dEbMjOGXhi8iXIpJ5gi+n7KUbYxYYY1KNMamRkZHOGEIppwgJ9OOSIb34eFsJtQ3NVsdxujfW76O6rknnzOlA/E61gTFmip1jFAOxxzyPaXtNKY8zJy2WdzcXsWJ7KbNTY0/9Gzqo+qYWFq7J49w+EQyL7Wp1HHWaXHFIZxPQR0QSRSQAmAssc8G4Srlcanw3EiNCPH6R83c2FXLgSAN3TtK9+47E3ssyZ4lIETAW+EREVra93ltEVgAYY5qBecBKIAtYYozZYV9spdyTiDA7NYaN+ZXkVhyxOo5TNDbbePHbvaQldGN0YrjVcdQZsPcqnQ+NMTHGmEBjTJQx5uK210uMMdOP2W6FMaavMSbZGPNHe0Mr5c6uGBGDjwcvcv7hD0WUVNdz56QURMTqOOoM6J22SjlYVJcgJvbrwftbimhu8awJ1ZpbbDz/zV6GRIdxfl+9qKKj0cJXygnmpMZQdriBNXsOWB3FoT7ZXhSABCkAAArFSURBVEr+waPcOSlZ9+47IC18pZzggv5RhIcEeNQi5zabYf6qHPr0COWigT2tjqPOgha+Uk4Q4OfDrOHRfJlVRmVto9VxHOKLrDJ2lx3hzkkp+Pjo3n1HpIWvlJPMTo2hqcWw1AMmVDOmde8+LjyYn5zTy+o46ixp4SvlJP17duGcmDCPmFBtzZ4DbCuq5o6Jyfj5am10VPonp5QTzU6NZdf+GjKKqq2OYpfnvs6hV1gQl4+IsTqKsoMWvlJONHNYb4IDfFm8fp/VUc7axrxKNuZXcut5SQT4aWV0ZPqnp5QTdQ7yZ8aw3izfVkL10Sar45yV51blEBEawNy0OKujKDtp4SvlZD8dHU99k40Pfuh4d95mFFaxencFN09IolOAr9VxlJ208JVyssHRYQyN7criDQUd7uTt/FU5dAny49oxunfvCbTwlXKBn46OI6f8CBvyKq2Octqy99fw+c4ybhqfSOcgf6vjKAfQwlfKBS49pzddgvxYvKHA6iin7V/f5BAS4MtN4xOsjqIcRAtfKRfoFODLFSNj+CyzlIqaBqvjnFL+gVqWZ5Rw7Zh4ugYHWB1HOYgWvlIu8tPR8TS1GN7d7P7z6zz/zV78fH24+dxEq6MoB9LCV8pFUnqEMiYpnMXrC9x62uTCyqO8v6WIq9Ni6dE5yOo4yoG08JVyoRvHJVJcVcfnO8usjtKu57/di48It09MtjqKcjAtfKVc6MKBUcSFB/PS2jyro5xQSVUd76YXMicthl5hnayOoxxMC18pF/L1EW4cl8DmfYfYWlhldZz/8sK3ewH4xURdnNwTaeEr5WJz0mLpHOjndnv5+6vreXtjIVeOjCW6q+7deyItfKVcLDTQj6vSYlmxvZSSqjqr4/zHi6v3YjOGO/TYvcfSwlfKAjeMS8AYw6vr8q2OAkB5TT1vbijg8hHRxIYHWx1HOYldhS8is0Vkh4jYRCT1JNvli8h2EdkqIun2jKmUJ4gND2ba4F68uaGA6jrrZ9Gc/3UOzTbDHXrs3qPZu4efCVwOrD6NbScZY4YZY9r9waCUN/nFxGRq6pt5fV2+pTkKK4/y5sYCrkqLJSEixNIsyrnsKnxjTJYxJttRYZTyJoOjw7igfw9eWptHbUOzZTn+8cVufES4e3IfyzIo13DVMXwDfC4im0Xk1pNtKCK3iki6iKRXVFS4KJ5S1ph3QQqHjjbxpkWTqu3af5gPtxZz0/hEorroXbWe7pSFLyJfikjmCb5mnME4E4wxI4BpwJ0icl57GxpjFhhjUo0xqZGRkWcwhFIdz4i4bkxIieDF1bnUN7W4fPynV2bTOdCPX5yvV+Z4g1MWvjFmijFm8Am+PjrdQYwxxW2/lgMfAqPOPrJSnmXeBSkcONLA6+tcu+7t9zkH+DKrnNsnJhMWrPPdewOnH9IRkRAR6fzjY+AiWk/2KqWAMUndOa9vJPO/yXHZFTvNLTZ+v3wnseGd+Nl4nRHTW9h7WeYsESkCxgKfiMjKttd7i8iKts2igLUikgFsBD4xxnxmz7hKeZoHp/ajuq7pP1MbONviDQVkl9Xw8PSBBPnrWrXews+e32yM+ZDWQzTHv14CTG97nAsMtWccpTzdoN5hzBwWzaK1eVw/Nt6pE5dV1jbyt8+zGZ/SnYsHRTltHOV+9E5bpdzEfRf2xQBPrtjl1HGeXJFFbWMLj146CBFx6ljKvWjhK+UmYsODuXNiCsszSli92zmXJH+TXc57m4u47bwk+kZ1dsoYyn1p4SvlRm6fmERSRAiPfJTp8Ms0a+qb+O0H20npEcpdepOVV9LCV8qNBPr58sTMwew7eJRnv9rj0Pd+4uOd7D9cz1+uPEdP1HopLXyl3Mz4lAiuSo3lhW/38n3OAYe85/ubi1iSXsQdE1MYEdfNIe+pOh4tfKXc0KOXDSQxIoR73tnKwSMNdr1X9v4a/mdpJmOSwrlnih7K8WZa+Eq5oeAAP/559XCq6pq4/Y3NNDSf3fH8ssP13PTyRkKD/PjfucPx89X/5b2Z/ukr5aYG9Q7j6dlD2ZR/iPuXZNDcYjuj33/wSAM3LNpIdV0TL9+YRg+dHM3r2XXjlVLKuS4b2pvSqjr+9OkubMbwzFXDCfA79X5aSVUd1y/aSGHlURbekMrg6DAXpFXuTgtfKTd32/nJ+PoIf/gki+Kqdfxz7nDiure/DOHXu8q4f0kGTS2GV382ijFJ3V2YVrkzLXylOoBbzk0iumsnHnx/Gxc98y03jkvkqrRYEttWqGpusbExv5JFa/P4MqucAb26MP+a4SRFhlqcXLkTMcZYnaFdqampJj1dl8BV6kfFVXX85bNdLMsowRjoFuxPaJAfFTUN1DfZ6BLkx+0Tk/nZ+ES91t5Licjm9paS1cJXqgMqqarj8x37yS6rob7JRnhIACPiujF5QA8tei93ssLXQzpKdUC9u3biRp3HXp0hvSxTKaW8hBa+Ukp5CS18pZTyElr4SinlJbTwlVLKS2jhK6WUl9DCV0opL6GFr5RSXsKt77QVkQpg31n+9gjAMcsFdRz6mb2DfmbPZ8/njTfGRJ7oG25d+PYQkfT2bi/2VPqZvYN+Zs/nrM+rh3SUUspLaOErpZSX8OTCX2B1AAvoZ/YO+pk9n1M+r8cew1dKKfV/efIevlJKqWNo4SullJfwuMIXkakiki0iOSLykNV5nE1EYkVklYjsFJEdInK31ZlcRUR8ReQHEfnY6iyuICJdReQ9EdklIlkiMtbqTM4mIve2/b3OFJG3RCTI6kyOJiKLRKRcRDKPeS1cRL4QkT1tv3ZzxFgeVfgi4gvMB6YBA4GrRWSgtamcrhm43xgzEBgD3OkFn/lHdwNZVodwoWeBz4wx/YGhePhnF5Fo4C4g1RgzGPAF5lqbyileAaYe99pDwFfGmD7AV23P7eZRhQ+MAnKMMbnGmEbgbWCGxZmcyhhTaozZ0va4htYSiLY2lfOJSAxwCbDQ6iyuICJhwHnASwDGmEZjTJW1qVzCD+gkIn5AMFBicR6HM8asBiqPe3kG8Grb41eBmY4Yy9MKPxooPOZ5EV5Qfj8SkQRgOLDB2iQu8QzwAGCzOoiLJAIVwMtth7EWikiI1aGcyRhTDDwNFAClQLUx5nNrU7lMlDGmtO3xfiDKEW/qaYXvtUQkFHgfuMcYc9jqPM4kIj8Byo0xm63O4kJ+wAjgeWPMcKAWB/0z3121HbeeQesPu95AiIhca20q1zOt18475Pp5Tyv8YiD2mOcxba95NBHxp7XsFxtjPrA6jwuMBy4TkXxaD9tdICJvWBvJ6YqAImPMj/96e4/WHwCebAqQZ4ypMMY0AR8A4yzO5CplItILoO3Xcke8qacV/iagj4gkikgArSd4llmcyalERGg9rptljPm71XlcwRjzG2NMjDEmgdY/46+NMR6952eM2Q8Uiki/tpcmAzstjOQKBcAYEQlu+3s+GQ8/UX2MZcANbY9vAD5yxJv6OeJN3IUxpllE5gEraT2jv8gYs8PiWM42HrgO2C4iW9te+60xZoWFmZRz/BJY3LYzkwvcZHEepzLGbBCR94AttF6N9gMeOMWCiLwFTAQiRKQIeBR4ClgiIjfTOkX8HIeMpVMrKKWUd/C0QzpKKaXaoYWvlFJeQgtfKaW8hBa+Ukp5CS18pZTyElr4SinlJbTwlVLKS/w/TlcYSqWkWBcAAAAASUVORK5CYII=\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "ObTghBli7-no"
-      },
-      "source": [
-        "# Euler's method for training"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "id": "87VAZZtR7-n1"
-      },
-      "source": [
-        "def x_prime_prime_train(prev_val, coeffs, dnns):\n",
-        "    return dnns(torch.Tensor([prev_val[\"t\"]]))[0] - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n"
-      ],
-      "execution_count": 7,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "id": "dTx1Q0PV7-n2"
-      },
-      "source": [
-        "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0.}\n",
-        "ode_train = {\"x\": x_prime, \"x_\": x_prime_prime_train, \"t\": t_prime}\n",
-        "\n",
-        "ode_solver_train = ODEDNNSolver(\n",
-        "    ode=ode_train,\n",
-        "    init_vars=ode_init,\n",
-        "    init_coeffs=ode_train_coeffs,\n",
-        "    dt=dt,\n",
-        "    solver=\"rk4\"\n",
-        ")"
-      ],
-      "execution_count": 8,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "67eN5ZyB7-n2",
-        "outputId": "1588284b-d8f3-42ed-ff4e-0428b39394e8"
-      },
-      "source": [
-        "ode_solver_train.fit_random_sample(\n",
-        "    result,torch.optim.Adam,\n",
-        "    {\"lr\": 0.02},\n",
-        "    max_epochs=20,\n",
-        "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-        "    scheduler_params={\"milestones\": [10],\"gamma\": 0.2}\n",
-        ")"
-      ],
-      "execution_count": 9,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Epoch: 0\t Loss: tensor(6.2093e-06, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1419, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.1420, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0721, requires_grad=True)}\n",
-            "DNN(1) tensor([0.2365], grad_fn=<TanhBackward>)\n",
-            "Epoch: 1\t Loss: tensor(2.0705e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.2504, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.2516, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.1099, requires_grad=True)}\n",
-            "DNN(1) tensor([0.1373], grad_fn=<TanhBackward>)\n",
-            "Epoch: 2\t Loss: tensor(2.1068e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.2731, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.2960, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.1083, requires_grad=True)}\n",
-            "DNN(1) tensor([0.2051], grad_fn=<TanhBackward>)\n",
-            "Epoch: 3\t Loss: tensor(2.6809e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.2646, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3165, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0769, requires_grad=True)}\n",
-            "DNN(1) tensor([0.3410], grad_fn=<TanhBackward>)\n",
-            "Epoch: 4\t Loss: tensor(2.4307e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.2557, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3321, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0659, requires_grad=True)}\n",
-            "DNN(1) tensor([0.2867], grad_fn=<TanhBackward>)\n",
-            "Epoch: 5\t Loss: tensor(2.1748e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.2179, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3312, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0237, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4414], grad_fn=<TanhBackward>)\n",
-            "Epoch: 6\t Loss: tensor(2.6169e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1903, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3348, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0237, requires_grad=True)}\n",
-            "DNN(1) tensor([0.3845], grad_fn=<TanhBackward>)\n",
-            "Epoch: 7\t Loss: tensor(1.6772e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1749, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3486, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0295, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4565], grad_fn=<TanhBackward>)\n",
-            "Epoch: 8\t Loss: tensor(3.1222e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1566, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3485, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0641, requires_grad=True)}\n",
-            "DNN(1) tensor([0.2051], grad_fn=<TanhBackward>)\n",
-            "Epoch: 9\t Loss: tensor(5.5046e-06, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1387, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3774, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0270, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4718], grad_fn=<TanhBackward>)\n",
-            "Epoch: 10\t Loss: tensor(8.6054e-06, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1340, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3802, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0232, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4493], grad_fn=<TanhBackward>)\n",
-            "Epoch: 11\t Loss: tensor(1.7816e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1227, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3761, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0155, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4175], grad_fn=<TanhBackward>)\n",
-            "Epoch: 12\t Loss: tensor(1.5981e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1157, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3760, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0098, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4440], grad_fn=<TanhBackward>)\n",
-            "Epoch: 13\t Loss: tensor(1.0512e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1122, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3779, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0064, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4677], grad_fn=<TanhBackward>)\n",
-            "Epoch: 14\t Loss: tensor(1.4457e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1096, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3788, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0031, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4644], grad_fn=<TanhBackward>)\n",
-            "Epoch: 15\t Loss: tensor(1.2071e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1031, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3770, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0009, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4661], grad_fn=<TanhBackward>)\n",
-            "Epoch: 16\t Loss: tensor(1.5328e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.0963, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3764, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0040, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4691], grad_fn=<TanhBackward>)\n",
-            "Epoch: 17\t Loss: tensor(1.4537e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.0909, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3771, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0068, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4822], grad_fn=<TanhBackward>)\n",
-            "Epoch: 18\t Loss: tensor(1.4585e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.0887, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3810, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0104, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4979], grad_fn=<TanhBackward>)\n",
-            "Epoch: 19\t Loss: tensor(1.1779e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.0851, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3836, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0162, requires_grad=True)}\n",
-            "DNN(1) tensor([0.5046], grad_fn=<TanhBackward>)\n"
-          ]
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 266
-        },
-        "id": "IOMjwKY27-n2",
-        "outputId": "1e8218d2-8200-4b08-9ae5-ec7152cfe18d"
-      },
-      "source": [
-        "result = ode_solver_train(1000)\n",
-        "\n",
-        "result_np = result.detach().numpy() # Convert to numpy array\n",
-        "\n",
-        "# 2D plot of X and Z\n",
-        "plt.plot(result_np[:,2], result_np[:,0])\n",
-        "\n",
-        "plt.show()"
-      ],
-      "execution_count": 10,
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": "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\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "9adPvysOrfMr"
-      },
-      "source": [
-        "# Mean Squared Error Loss"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "id": "kwktnR93ripb"
-      },
-      "source": [
-        "ode_solver = ODEDNNSolver(\n",
-        "    ode=ode,\n",
-        "    init_vars=ode_init,\n",
-        "    init_coeffs=ode_coeffs,\n",
-        "    dt=dt,\n",
-        "    solver=\"rk4\"\n",
-        ")\n",
-        "\n",
-        "result_train = ode_solver(1000)"
-      ],
-      "execution_count": 11,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "aVYankyRrwoW",
-        "outputId": "bc16f6f1-c234-44cb-c9e6-ce0b4f5e8f45"
-      },
-      "source": [
-        "loss = torch.nn.MSELoss()\n",
-        "loss(result_train,result)"
-      ],
-      "execution_count": 12,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "tensor(0.0529, grad_fn=<MseLossBackward>)"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 12
-        }
-      ]
-    }
-  ]
-}
diff --git a/examples/ode/DuffingEquation/DuffingTest_fit.ipynb b/examples/ode/DuffingEquation/DuffingTest_fit.ipynb
deleted file mode 100644
index 403e598b..00000000
--- a/examples/ode/DuffingEquation/DuffingTest_fit.ipynb
+++ /dev/null
@@ -1,720 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "import numpy as np\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Duffing equation: Second order ODE system\n",
-    "dt = 0.01\n",
-    "\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x_\"]\n",
-    "\n",
-    "def x_prime_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"g\"]*torch.cos(coeffs[\"w\"]*prev_val[\"t\"]) - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n",
-    "\n",
-    "def t_prime(prev_val, coeffs):\n",
-    "    return dt\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"t\": t_prime}\n",
-    "\n",
-    "# Initial conditions [0,0,0]\n",
-    "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2, \"g\": 0.8, \"w\": 0.5}\n"
-   ]
-  },
-  {
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
-       "        [3.9973e-05, 7.9920e-03, 1.0000e-04],\n",
-       "        [1.5979e-04, 1.5968e-02, 2.0000e-04],\n",
-       "        ...,\n",
-       "        [7.7501e-01, 1.1140e-01, 9.9701e-02],\n",
-       "        [7.7615e-01, 1.1605e-01, 9.9801e-02],\n",
-       "        [7.7733e-01, 1.2069e-01, 9.9901e-02]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 5
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:17:26.947391</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m1cfe2a6b97\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m1cfe2a6b97\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(41.56554 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.69353\" xlink:href=\"#m1cfe2a6b97\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(106.560718 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.688708\" xlink:href=\"#m1cfe2a6b97\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(171.555896 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.683886\" xlink:href=\"#m1cfe2a6b97\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(236.551074 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.679064\" xlink:href=\"#m1cfe2a6b97\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(301.546252 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.674242\" xlink:href=\"#m1cfe2a6b97\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(366.54143 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mc89a834d42\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mc89a834d42\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mc89a834d42\" y=\"224.660781\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.46)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mc89a834d42\" y=\"188.105562\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 191.904781)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mc89a834d42\" y=\"151.550343\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 155.349562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mc89a834d42\" y=\"114.995124\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 118.794343)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mc89a834d42\" y=\"78.439905\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 82.239124)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#mc89a834d42\" y=\"41.884686\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 45.683905)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p044e0370d8)\" d=\"M 52.698352 261.216 \nL 53.998256 261.122669 \nL 55.298159 260.843683 \nL 56.923038 260.236196 \nL 58.547917 259.344019 \nL 60.172796 258.170207 \nL 61.797677 256.717857 \nL 63.422557 254.990103 \nL 65.372414 252.557748 \nL 67.322267 249.738978 \nL 69.272119 246.539483 \nL 71.546946 242.333332 \nL 73.821773 237.626467 \nL 76.096601 232.428886 \nL 78.696404 225.901549 \nL 81.296206 218.764278 \nL 84.220984 210.029687 \nL 87.145762 200.578717 \nL 90.395516 189.282979 \nL 93.970244 175.964801 \nL 97.869948 160.491734 \nL 102.419603 141.433395 \nL 108.91911 113.090869 \nL 115.743592 83.524843 \nL 119.318321 68.917847 \nL 122.243099 57.795983 \nL 124.842902 48.744838 \nL 127.117729 41.606908 \nL 129.067581 36.154735 \nL 131.017433 31.38317 \nL 132.64231 27.966942 \nL 134.267186 25.089661 \nL 135.567088 23.191437 \nL 136.866989 21.662278 \nL 138.16689 20.509207 \nL 139.141816 19.894089 \nL 140.116742 19.494172 \nL 141.091668 19.309701 \nL 142.066594 19.340065 \nL 143.04152 19.583871 \nL 144.016446 20.038922 \nL 144.991372 20.702254 \nL 146.291274 21.904114 \nL 147.591175 23.45874 \nL 148.891077 25.353181 \nL 150.515953 28.176252 \nL 152.14083 31.474124 \nL 154.090682 36.007009 \nL 156.04057 41.103294 \nL 158.31544 47.665082 \nL 160.915291 55.83262 \nL 164.165105 66.787584 \nL 169.039826 84.099453 \nL 176.839379 111.825282 \nL 180.739156 124.868318 \nL 183.98897 135.035406 \nL 186.913802 143.532641 \nL 189.838635 151.341033 \nL 192.438486 157.661908 \nL 195.038337 163.371064 \nL 197.313207 167.849085 \nL 199.588077 171.834065 \nL 201.537965 174.85238 \nL 203.487853 177.50109 \nL 205.437742 179.778862 \nL 207.38763 181.6854 \nL 209.012537 182.991017 \nL 210.637444 184.040087 \nL 212.262351 184.833785 \nL 213.887258 185.373645 \nL 215.512165 185.661508 \nL 217.137072 185.699516 \nL 218.761979 185.49011 \nL 220.386886 185.036026 \nL 222.011793 184.340273 \nL 223.6367 183.406134 \nL 225.261607 182.237201 \nL 227.211495 180.530038 \nL 229.161383 178.497692 \nL 231.111272 176.148174 \nL 233.386141 173.017979 \nL 235.661011 169.483501 \nL 237.935881 165.561874 \nL 240.535732 160.630502 \nL 243.460565 154.548098 \nL 246.385397 147.949828 \nL 249.635211 140.086101 \nL 253.534988 130.039879 \nL 258.409709 116.826535 \nL 270.109039 84.843995 \nL 273.683834 75.87882 \nL 276.608666 69.12775 \nL 279.208518 63.682393 \nL 281.483387 59.418276 \nL 283.433276 56.177978 \nL 285.383164 53.352484 \nL 287.008071 51.333813 \nL 288.632978 49.634301 \nL 290.257885 48.264356 \nL 291.882792 47.231785 \nL 293.182717 46.652173 \nL 294.482643 46.293114 \nL 295.782569 46.154765 \nL 297.082494 46.236115 \nL 298.38242 46.534968 \nL 299.682345 47.048011 \nL 300.982271 47.770835 \nL 302.607178 48.960894 \nL 304.232085 50.457231 \nL 305.856992 52.244751 \nL 307.80688 54.749988 \nL 309.756768 57.617177 \nL 312.031638 61.372173 \nL 314.631489 66.130352 \nL 317.556322 71.966632 \nL 321.131117 79.604881 \nL 327.305763 93.443088 \nL 333.805391 107.841401 \nL 337.705168 115.951435 \nL 340.954982 122.238093 \nL 343.879814 127.452465 \nL 346.804647 132.193073 \nL 349.404498 135.97548 \nL 351.679368 138.932682 \nL 353.954238 141.54796 \nL 356.229107 143.811718 \nL 358.178996 145.46685 \nL 360.128884 146.855403 \nL 362.078772 147.975425 \nL 364.028661 148.826105 \nL 365.978549 149.407616 \nL 367.928437 149.721137 \nL 369.878326 149.768767 \nL 371.828214 149.553522 \nL 373.778102 149.079297 \nL 375.727991 148.350852 \nL 377.352898 147.553641 \nL 377.352898 147.553641 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p044e0370d8\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,2], result_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0., \"g\": 0., \"w\": 0.}\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:17:28.983779</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"ma0e8338219\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#ma0e8338219\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(49.945227 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073218\" xlink:href=\"#ma0e8338219\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(114.940405 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068396\" xlink:href=\"#ma0e8338219\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(179.935583 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063574\" xlink:href=\"#ma0e8338219\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(244.930761 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058752\" xlink:href=\"#ma0e8338219\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(309.925939 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.05393\" xlink:href=\"#ma0e8338219\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(374.921117 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m2d17ea5862\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2d17ea5862\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2d17ea5862\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2d17ea5862\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2d17ea5862\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m2d17ea5862\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pdc6ab85755)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pdc6ab85755\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(1000)\n",
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "tags": [
-     "outputPrepend"
-    ]
-   },
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "ad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3643, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5469, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4862, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.5283, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 47\t Loss: tensor(0.1015, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3608, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5477, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4818, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.5391, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 48\t Loss: tensor(0.0968, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3574, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5484, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4769, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.5499, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 49\t Loss: tensor(0.0922, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3538, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5491, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4716, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.5606, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 50\t Loss: tensor(0.0876, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3503, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5498, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4657, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.5712, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 51\t Loss: tensor(0.0831, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3467, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5505, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4595, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.5817, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 52\t Loss: tensor(0.0786, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3430, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5512, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4527, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.5922, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 53\t Loss: tensor(0.0741, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3394, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5518, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4455, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.6026, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 54\t Loss: tensor(0.0696, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3357, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5525, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4378, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.6129, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 55\t Loss: tensor(0.0652, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3320, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5531, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4296, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.6231, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 56\t Loss: tensor(0.0608, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3283, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5538, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4210, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.6332, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 57\t Loss: tensor(0.0565, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3245, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5544, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4120, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.6431, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 58\t Loss: tensor(0.0522, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3207, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5550, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4026, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.6530, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 59\t Loss: tensor(0.0481, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3170, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5556, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3927, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.6627, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 60\t Loss: tensor(0.0440, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3132, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5562, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3825, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.6722, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 61\t Loss: tensor(0.0400, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3094, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5568, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3719, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.6816, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 62\t Loss: tensor(0.0362, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3056, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5574, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3610, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.6908, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 63\t Loss: tensor(0.0325, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3017, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5579, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3498, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.6998, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 64\t Loss: tensor(0.0290, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2980, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5585, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3384, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7086, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 65\t Loss: tensor(0.0256, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2942, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5590, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3268, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7172, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 66\t Loss: tensor(0.0225, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2904, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5594, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3151, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7255, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 67\t Loss: tensor(0.0195, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2867, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5598, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3033, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7335, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 68\t Loss: tensor(0.0168, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2830, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5602, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2915, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7413, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 69\t Loss: tensor(0.0144, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2793, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5606, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2797, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7487, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 70\t Loss: tensor(0.0122, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2757, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5608, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2682, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7559, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 71\t Loss: tensor(0.0103, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2721, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5611, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2568, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7626, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 72\t Loss: tensor(0.0088, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2687, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5612, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2459, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7691, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 73\t Loss: tensor(0.0075, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2653, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5614, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2353, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7751, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 74\t Loss: tensor(0.0065, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2619, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5614, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2253, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7808, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 75\t Loss: tensor(0.0057, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2587, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5614, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2160, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7861, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 76\t Loss: tensor(0.0052, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2556, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5613, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2074, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7910, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 77\t Loss: tensor(0.0050, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2525, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5611, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1996, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7955, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 78\t Loss: tensor(0.0049, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2496, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5609, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1928, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7995, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 79\t Loss: tensor(0.0049, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2468, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5606, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1870, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8032, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 80\t Loss: tensor(0.0051, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2441, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5602, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1822, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8064, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 81\t Loss: tensor(0.0053, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2415, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5597, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1785, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8093, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 82\t Loss: tensor(0.0055, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2390, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5592, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1759, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8118, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 83\t Loss: tensor(0.0056, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2366, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5586, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1744, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8139, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 84\t Loss: tensor(0.0057, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2344, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5580, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1739, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8156, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 85\t Loss: tensor(0.0057, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2322, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5573, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1743, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8170, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 86\t Loss: tensor(0.0057, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2302, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5565, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1757, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8181, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 87\t Loss: tensor(0.0055, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2282, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5557, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1778, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8189, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 88\t Loss: tensor(0.0053, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2263, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5548, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1805, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8194, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 89\t Loss: tensor(0.0051, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2245, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5539, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1838, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8197, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 90\t Loss: tensor(0.0048, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2228, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5529, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1875, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8198, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 91\t Loss: tensor(0.0045, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2211, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5519, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1915, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8196, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 92\t Loss: tensor(0.0042, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2195, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5509, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1956, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8193, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 93\t Loss: tensor(0.0039, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2179, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5499, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1998, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8189, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 94\t Loss: tensor(0.0037, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2164, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5488, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2039, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8183, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 95\t Loss: tensor(0.0035, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2150, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5477, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2079, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8177, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 96\t Loss: tensor(0.0033, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2135, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5466, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2118, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8170, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 97\t Loss: tensor(0.0031, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2121, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5455, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2153, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8162, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 98\t Loss: tensor(0.0029, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2107, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5444, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2186, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8153, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 99\t Loss: tensor(0.0028, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2094, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5433, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2215, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8145, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.1},\n",
-    "    max_epochs=100\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'a': Parameter containing:\n",
-       " tensor(0.2094, requires_grad=True),\n",
-       " 'b': Parameter containing:\n",
-       " tensor(0.5433, requires_grad=True),\n",
-       " 'd': Parameter containing:\n",
-       " tensor(0.2215, requires_grad=True),\n",
-       " 'g': Parameter containing:\n",
-       " tensor(0.8145, requires_grad=True),\n",
-       " 'w': Parameter containing:\n",
-       " tensor(0., requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 10
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs\n",
-    "\n",
-    "# \"b\", \"d\", \"g\" differ by at most 0.1. \"a\" differs by 0.1094.\n",
-    "# TODO: Investigate why \"w\" isn't learning"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt = 10000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 0.0000e+00,  8.1448e-03,  1.0000e-04],\n",
-       "        [ 8.1448e-05,  1.6272e-02,  2.0000e-04],\n",
-       "        ...,\n",
-       "        [ 1.0326e+00, -5.6420e-06,  9.9975e-01],\n",
-       "        [ 1.0326e+00, -5.0049e-06,  9.9985e-01],\n",
-       "        [ 1.0326e+00, -4.3689e-06,  9.9995e-01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 11
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(10000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:33:53.731915</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mc4defd567b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#mc4defd567b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.0 -->\n      <g transform=\"translate(38.38429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.269776\" xlink:href=\"#mc4defd567b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.2 -->\n      <g transform=\"translate(103.318214 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.2037\" xlink:href=\"#mc4defd567b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.4 -->\n      <g transform=\"translate(168.252138 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.137625\" xlink:href=\"#mc4defd567b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.6 -->\n      <g transform=\"translate(233.186062 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.071549\" xlink:href=\"#mc4defd567b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.8 -->\n      <g transform=\"translate(298.119986 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.005473\" xlink:href=\"#mc4defd567b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1.0 -->\n      <g transform=\"translate(363.05391 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"maf41579e0a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"229.972033\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 233.771252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"198.728066\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 202.527285)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"167.484099\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 171.283318)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"136.240132\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 140.039351)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"104.996165\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 108.795384)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"73.752198\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.2 -->\n      <g transform=\"translate(7.2 77.551417)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"42.508231\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 1.4 -->\n      <g transform=\"translate(7.2 46.30745)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#maf41579e0a\" y=\"11.264264\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 1.6 -->\n      <g transform=\"translate(7.2 15.063483)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p3d0984c089)\" d=\"M 46.335852 261.216 \nL 46.46572 261.13977 \nL 46.660522 260.646852 \nL 46.952724 259.068309 \nL 47.342328 255.432328 \nL 47.829332 248.506576 \nL 48.446204 236.113015 \nL 49.192942 216.06193 \nL 50.102016 185.011489 \nL 51.303291 135.476118 \nL 53.381173 49.137785 \nL 54.062979 30.198378 \nL 54.549982 22.134756 \nL 54.874651 19.644862 \nL 55.069453 19.29803 \nL 55.166853 19.447031 \nL 55.329188 20.167326 \nL 55.588923 22.515612 \nL 55.946059 28.003731 \nL 56.46553 40.037298 \nL 57.212282 63.401254 \nL 59.972021 155.154685 \nL 60.751241 171.796841 \nL 61.368124 180.721174 \nL 61.855137 185.048837 \nL 62.244747 186.792765 \nL 62.472019 187.114391 \nL 62.634357 187.034783 \nL 62.829162 186.603511 \nL 63.12137 185.281795 \nL 63.51098 182.294778 \nL 63.997992 176.681691 \nL 64.614875 166.797471 \nL 65.394095 150.460124 \nL 66.497991 122.001235 \nL 68.575911 67.637022 \nL 69.290197 54.929866 \nL 69.809677 49.241514 \nL 70.16682 47.297698 \nL 70.394092 46.924328 \nL 70.523962 47.012433 \nL 70.718767 47.550261 \nL 71.010975 49.24414 \nL 71.400585 53.055717 \nL 71.920065 60.546687 \nL 72.666818 74.895485 \nL 75.621362 135.445754 \nL 76.335647 144.232166 \nL 76.887594 148.594542 \nL 77.309672 150.453112 \nL 77.60188 150.988892 \nL 77.796685 151.008297 \nL 77.99149 150.761237 \nL 78.25123 150.024805 \nL 78.608373 148.274964 \nL 79.095385 144.584873 \nL 79.712268 137.95333 \nL 80.523956 126.484231 \nL 81.822656 104.318815 \nL 83.283694 80.440403 \nL 84.030447 71.608141 \nL 84.582395 67.405857 \nL 84.972005 65.797661 \nL 85.264212 65.359279 \nL 85.42655 65.400585 \nL 85.621355 65.715125 \nL 85.913563 66.714539 \nL 86.303173 68.97716 \nL 86.822653 73.461097 \nL 87.536936 81.754636 \nL 88.965506 101.701428 \nL 90.166804 117.035329 \nL 90.946025 124.440261 \nL 91.562907 128.416957 \nL 92.04992 130.272334 \nL 92.407063 130.895855 \nL 92.634335 130.969052 \nL 92.861608 130.794034 \nL 93.153815 130.212089 \nL 93.543426 128.834752 \nL 94.030438 126.210251 \nL 94.679788 121.339546 \nL 95.556411 112.863893 \nL 98.413552 83.709068 \nL 99.062903 79.841678 \nL 99.549915 78.143628 \nL 99.907058 77.59822 \nL 100.13433 77.562818 \nL 100.361603 77.766887 \nL 100.653811 78.371553 \nL 101.043421 79.745193 \nL 101.562901 82.480909 \nL 102.277186 87.585229 \nL 103.510952 98.352573 \nL 104.907055 109.957694 \nL 105.718742 114.963536 \nL 106.335625 117.525808 \nL 106.822638 118.706935 \nL 107.17978 119.086832 \nL 107.439521 119.105231 \nL 107.731728 118.870881 \nL 108.088871 118.229231 \nL 108.543416 116.879586 \nL 109.127831 114.3582 \nL 109.907051 109.891602 \nL 111.270687 100.461053 \nL 112.601855 91.82327 \nL 113.348608 88.274554 \nL 113.933023 86.45918 \nL 114.387568 85.705475 \nL 114.712243 85.532283 \nL 115.004451 85.635435 \nL 115.329126 86.029979 \nL 115.751203 86.959129 \nL 116.303151 88.808453 \nL 117.049904 92.214759 \nL 118.381072 99.594997 \nL 119.71224 106.495417 \nL 120.49146 109.468826 \nL 121.108343 111.030846 \nL 121.595356 111.71598 \nL 121.984966 111.905915 \nL 122.309641 111.822848 \nL 122.666783 111.485336 \nL 123.121329 110.702897 \nL 123.673276 109.273025 \nL 124.420029 106.654893 \nL 125.621327 101.465961 \nL 127.179768 94.919804 \nL 127.958915 92.533694 \nL 128.543243 91.3547 \nL 129.030184 90.824433 \nL 129.419736 90.706978 \nL 129.776825 90.836798 \nL 130.166377 91.227469 \nL 130.653317 92.053541 \nL 131.302571 93.654362 \nL 132.211526 96.57355 \nL 134.646226 104.690173 \nL 135.392868 106.30943 \nL 135.977196 107.097382 \nL 136.464136 107.406484 \nL 136.886151 107.415674 \nL 137.308165 107.190664 \nL 137.795105 106.657119 \nL 138.411896 105.606641 \nL 139.223463 103.722473 \nL 140.781671 99.364744 \nL 141.98279 96.34285 \nL 142.761894 94.95122 \nL 143.346223 94.307763 \nL 143.833163 94.059968 \nL 144.28764 94.069354 \nL 144.742118 94.304244 \nL 145.293983 94.86954 \nL 145.975699 95.928715 \nL 146.917117 97.849421 \nL 149.319355 102.919698 \nL 150.098459 103.979711 \nL 150.71525 104.478059 \nL 151.267115 104.648067 \nL 151.786518 104.569385 \nL 152.338383 104.244845 \nL 152.987637 103.579934 \nL 153.831666 102.356208 \nL 155.422337 99.539315 \nL 156.655919 97.583859 \nL 157.467486 96.691172 \nL 158.116739 96.281972 \nL 158.701067 96.166492 \nL 159.252933 96.276944 \nL 159.869724 96.635583 \nL 160.616365 97.35193 \nL 161.655171 98.70015 \nL 163.96002 101.783294 \nL 164.80405 102.505693 \nL 165.518229 102.834182 \nL 166.167482 102.890479 \nL 166.816736 102.720676 \nL 167.530915 102.298868 \nL 168.439869 101.482423 \nL 170.225316 99.482776 \nL 171.458898 98.292384 \nL 172.33539 97.747889 \nL 173.082032 97.539741 \nL 173.796211 97.572462 \nL 174.542852 97.834802 \nL 175.419344 98.389074 \nL 176.750314 99.534696 \nL 178.568224 101.056854 \nL 179.542104 101.57915 \nL 180.386133 101.781432 \nL 181.1977 101.742249 \nL 182.04173 101.4757 \nL 183.080535 100.899602 \nL 186.813743 98.581522 \nL 187.722698 98.399726 \nL 188.631652 98.448816 \nL 189.605533 98.73423 \nL 190.871577 99.359827 \nL 193.630904 100.791087 \nL 194.702172 101.05637 \nL 195.708515 101.077581 \nL 196.779784 100.868558 \nL 198.110753 100.364754 \nL 201.162244 99.129426 \nL 202.330901 98.947778 \nL 203.467094 99.000928 \nL 204.733139 99.291761 \nL 209.537876 100.643017 \nL 210.804297 100.604877 \nL 212.265553 100.323989 \nL 216.64932 99.310868 \nL 218.078103 99.323829 \nL 219.701721 99.575424 \nL 223.955599 100.357175 \nL 225.546744 100.337192 \nL 227.462613 100.072636 \nL 231.067043 99.536391 \nL 232.853023 99.539464 \nL 235.02867 99.786365 \nL 238.503211 100.183181 \nL 240.516497 100.156085 \nL 243.439009 99.85283 \nL 246.199158 99.653659 \nL 248.504695 99.726083 \nL 254.771859 100.073995 \nL 258.181455 99.86136 \nL 261.461163 99.740088 \nL 264.708397 99.872403 \nL 268.929803 100.014533 \nL 272.923902 99.869125 \nL 276.885529 99.804485 \nL 287.568932 99.878195 \nL 292.472256 99.851043 \nL 301.239791 99.901976 \nL 308.188874 99.880951 \nL 316.404378 99.89272 \nL 324.749772 99.903 \nL 335.628009 99.879368 \nL 370.990398 99.8984 \nL 370.990398 99.8984 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p3d0984c089\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot\n",
-    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Save results as .mat file"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import scipy.io\n",
-    "\n",
-    "scipy.io.savemat(\"Duffing_fit.mat\", {\"x\": results_test_np})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
deleted file mode 100644
index bb6710a5..00000000
--- a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample.ipynb
+++ /dev/null
@@ -1,401 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "import numpy as np\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Duffing equation: Second order ODE system\n",
-    "dt = 0.01\n",
-    "\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x_\"]\n",
-    "\n",
-    "def x_prime_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"g\"]*torch.cos(coeffs[\"w\"]*prev_val[\"t\"]) - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n",
-    "\n",
-    "def t_prime(prev_val, coeffs):\n",
-    "    return dt\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"t\": t_prime}\n",
-    "\n",
-    "# Initial conditions [0,0,0]\n",
-    "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2, \"g\": 0.8, \"w\": 0.5}\n"
-   ]
-  },
-  {
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
-       "        [3.9973e-05, 7.9920e-03, 1.0000e-04],\n",
-       "        [1.5979e-04, 1.5968e-02, 2.0000e-04],\n",
-       "        ...,\n",
-       "        [7.7501e-01, 1.1140e-01, 9.9701e-02],\n",
-       "        [7.7615e-01, 1.1605e-01, 9.9801e-02],\n",
-       "        [7.7733e-01, 1.2069e-01, 9.9901e-02]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 5
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:05.585690</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m6be2150cdf\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m6be2150cdf\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(41.56554 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.69353\" xlink:href=\"#m6be2150cdf\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(106.560718 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.688708\" xlink:href=\"#m6be2150cdf\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(171.555896 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.683886\" xlink:href=\"#m6be2150cdf\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(236.551074 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.679064\" xlink:href=\"#m6be2150cdf\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(301.546252 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.674242\" xlink:href=\"#m6be2150cdf\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(366.54143 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m49a147adc4\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m49a147adc4\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m49a147adc4\" y=\"224.660781\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.46)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m49a147adc4\" y=\"188.105562\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 191.904781)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m49a147adc4\" y=\"151.550343\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 155.349562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m49a147adc4\" y=\"114.995124\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 118.794343)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m49a147adc4\" y=\"78.439905\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 82.239124)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m49a147adc4\" y=\"41.884686\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 45.683905)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pcb11c7337e)\" d=\"M 52.698352 261.216 \nL 53.998256 261.122669 \nL 55.298159 260.843683 \nL 56.923038 260.236196 \nL 58.547917 259.344019 \nL 60.172796 258.170207 \nL 61.797677 256.717857 \nL 63.422557 254.990103 \nL 65.372414 252.557748 \nL 67.322267 249.738978 \nL 69.272119 246.539483 \nL 71.546946 242.333332 \nL 73.821773 237.626467 \nL 76.096601 232.428886 \nL 78.696404 225.901549 \nL 81.296206 218.764278 \nL 84.220984 210.029687 \nL 87.145762 200.578717 \nL 90.395516 189.282979 \nL 93.970244 175.964801 \nL 97.869948 160.491734 \nL 102.419603 141.433395 \nL 108.91911 113.090869 \nL 115.743592 83.524843 \nL 119.318321 68.917847 \nL 122.243099 57.795983 \nL 124.842902 48.744838 \nL 127.117729 41.606908 \nL 129.067581 36.154735 \nL 131.017433 31.38317 \nL 132.64231 27.966942 \nL 134.267186 25.089661 \nL 135.567088 23.191437 \nL 136.866989 21.662278 \nL 138.16689 20.509207 \nL 139.141816 19.894089 \nL 140.116742 19.494172 \nL 141.091668 19.309701 \nL 142.066594 19.340065 \nL 143.04152 19.583871 \nL 144.016446 20.038922 \nL 144.991372 20.702254 \nL 146.291274 21.904114 \nL 147.591175 23.45874 \nL 148.891077 25.353181 \nL 150.515953 28.176252 \nL 152.14083 31.474124 \nL 154.090682 36.007009 \nL 156.04057 41.103294 \nL 158.31544 47.665082 \nL 160.915291 55.83262 \nL 164.165105 66.787584 \nL 169.039826 84.099453 \nL 176.839379 111.825282 \nL 180.739156 124.868318 \nL 183.98897 135.035406 \nL 186.913802 143.532641 \nL 189.838635 151.341033 \nL 192.438486 157.661908 \nL 195.038337 163.371064 \nL 197.313207 167.849085 \nL 199.588077 171.834065 \nL 201.537965 174.85238 \nL 203.487853 177.50109 \nL 205.437742 179.778862 \nL 207.38763 181.6854 \nL 209.012537 182.991017 \nL 210.637444 184.040087 \nL 212.262351 184.833785 \nL 213.887258 185.373645 \nL 215.512165 185.661508 \nL 217.137072 185.699516 \nL 218.761979 185.49011 \nL 220.386886 185.036026 \nL 222.011793 184.340273 \nL 223.6367 183.406134 \nL 225.261607 182.237201 \nL 227.211495 180.530038 \nL 229.161383 178.497692 \nL 231.111272 176.148174 \nL 233.386141 173.017979 \nL 235.661011 169.483501 \nL 237.935881 165.561874 \nL 240.535732 160.630502 \nL 243.460565 154.548098 \nL 246.385397 147.949828 \nL 249.635211 140.086101 \nL 253.534988 130.039879 \nL 258.409709 116.826535 \nL 270.109039 84.843995 \nL 273.683834 75.87882 \nL 276.608666 69.12775 \nL 279.208518 63.682393 \nL 281.483387 59.418276 \nL 283.433276 56.177978 \nL 285.383164 53.352484 \nL 287.008071 51.333813 \nL 288.632978 49.634301 \nL 290.257885 48.264356 \nL 291.882792 47.231785 \nL 293.182717 46.652173 \nL 294.482643 46.293114 \nL 295.782569 46.154765 \nL 297.082494 46.236115 \nL 298.38242 46.534968 \nL 299.682345 47.048011 \nL 300.982271 47.770835 \nL 302.607178 48.960894 \nL 304.232085 50.457231 \nL 305.856992 52.244751 \nL 307.80688 54.749988 \nL 309.756768 57.617177 \nL 312.031638 61.372173 \nL 314.631489 66.130352 \nL 317.556322 71.966632 \nL 321.131117 79.604881 \nL 327.305763 93.443088 \nL 333.805391 107.841401 \nL 337.705168 115.951435 \nL 340.954982 122.238093 \nL 343.879814 127.452465 \nL 346.804647 132.193073 \nL 349.404498 135.97548 \nL 351.679368 138.932682 \nL 353.954238 141.54796 \nL 356.229107 143.811718 \nL 358.178996 145.46685 \nL 360.128884 146.855403 \nL 362.078772 147.975425 \nL 364.028661 148.826105 \nL 365.978549 149.407616 \nL 367.928437 149.721137 \nL 369.878326 149.768767 \nL 371.828214 149.553522 \nL 373.778102 149.079297 \nL 375.727991 148.350852 \nL 377.352898 147.553641 \nL 377.352898 147.553641 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pcb11c7337e\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,2], result_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0., \"g\": 0., \"w\": 0.}\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:08.223402</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"ma144d5f738\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#ma144d5f738\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.00 -->\n      <g transform=\"translate(49.945227 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073218\" xlink:href=\"#ma144d5f738\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.02 -->\n      <g transform=\"translate(114.940405 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068396\" xlink:href=\"#ma144d5f738\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.04 -->\n      <g transform=\"translate(179.935583 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063574\" xlink:href=\"#ma144d5f738\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.06 -->\n      <g transform=\"translate(244.930761 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058752\" xlink:href=\"#ma144d5f738\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.08 -->\n      <g transform=\"translate(309.925939 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.05393\" xlink:href=\"#ma144d5f738\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.10 -->\n      <g transform=\"translate(374.921117 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mc46780bd80\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mc46780bd80\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mc46780bd80\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mc46780bd80\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mc46780bd80\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mc46780bd80\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#peb1322be13)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"peb1322be13\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(1000)\n",
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(1.2307e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1534, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.4288, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2022, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.2703, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(2.1483e-07, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0261, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.4753, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1857, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7601, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(9.9602e-10, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0250, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5568, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1958, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7844, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(4.1914e-08, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0211, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5445, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2153, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7838, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(1.6528e-08, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0200, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5254, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2264, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7699, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(2.1858e-10, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0309, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5219, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1986, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7557, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(1.0990e-09, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0387, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5179, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2043, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7501, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(5.3082e-10, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0477, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5139, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2163, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7565, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(2.0206e-10, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0576, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5129, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1943, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7672, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(7.0696e-10, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0657, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5108, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2157, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.7682, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0., requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.1},\n",
-    "    max_epochs=10\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'a': Parameter containing:\n",
-       " tensor(0.0657, requires_grad=True),\n",
-       " 'b': Parameter containing:\n",
-       " tensor(0.5108, requires_grad=True),\n",
-       " 'd': Parameter containing:\n",
-       " tensor(0.2157, requires_grad=True),\n",
-       " 'g': Parameter containing:\n",
-       " tensor(0.7682, requires_grad=True),\n",
-       " 'w': Parameter containing:\n",
-       " tensor(0., requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 10
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs\n",
-    "\n",
-    "# The coefficients differ by at most 0.1 from the original with the exception of \"w\". THe graphs look similar.\n",
-    "# TODO: Investigate why \"w\" isn't learning"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt = 10000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 0.0000e+00,  7.6820e-03,  1.0000e-04],\n",
-       "        [ 7.6820e-05,  1.5347e-02,  2.0000e-04],\n",
-       "        ...,\n",
-       "        [ 1.1083e+00, -1.7063e-05,  9.9975e-01],\n",
-       "        [ 1.1083e+00, -1.6193e-05,  9.9985e-01],\n",
-       "        [ 1.1083e+00, -1.5323e-05,  9.9995e-01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 11
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(10000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 400.785625 297.190125\" width=\"400.785625pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:34:47.821400</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 400.785625 297.190125 \nL 400.785625 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \nL 393.585625 7.2 \nL 36.465625 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m3426cdd11e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"52.698352\" xlink:href=\"#m3426cdd11e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.0 -->\n      <g transform=\"translate(44.74679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.632276\" xlink:href=\"#m3426cdd11e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.2 -->\n      <g transform=\"translate(109.680714 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"182.5662\" xlink:href=\"#m3426cdd11e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.4 -->\n      <g transform=\"translate(174.614638 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"247.500125\" xlink:href=\"#m3426cdd11e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.6 -->\n      <g transform=\"translate(239.548562 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.434049\" xlink:href=\"#m3426cdd11e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.8 -->\n      <g transform=\"translate(304.482486 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"377.367973\" xlink:href=\"#m3426cdd11e\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1.0 -->\n      <g transform=\"translate(369.41641 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m943b794c55\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m943b794c55\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.00 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m943b794c55\" y=\"224.390007\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.25 -->\n      <g transform=\"translate(7.2 228.189226)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m943b794c55\" y=\"187.564014\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.50 -->\n      <g transform=\"translate(7.2 191.363233)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m943b794c55\" y=\"150.738022\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.75 -->\n      <g transform=\"translate(7.2 154.53724)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m943b794c55\" y=\"113.912029\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 1.00 -->\n      <g transform=\"translate(7.2 117.711248)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m943b794c55\" y=\"77.086036\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.25 -->\n      <g transform=\"translate(7.2 80.885255)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m943b794c55\" y=\"40.260043\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.50 -->\n      <g transform=\"translate(7.2 44.059262)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p19aabc8379)\" d=\"M 52.698352 261.216 \nL 52.82822 261.148202 \nL 53.023022 260.709716 \nL 53.315224 259.304704 \nL 53.704828 256.064438 \nL 54.191832 249.877825 \nL 54.776237 239.433641 \nL 55.490509 222.409559 \nL 56.334648 196.681922 \nL 57.373589 157.842315 \nL 60.490412 35.474908 \nL 61.04235 24.245392 \nL 61.431953 20.149328 \nL 61.659221 19.319846 \nL 61.756622 19.319495 \nL 61.886489 19.648359 \nL 62.113758 21.114198 \nL 62.438427 25.090555 \nL 62.892965 34.010052 \nL 63.509847 51.079621 \nL 64.613743 89.20918 \nL 66.107248 139.05904 \nL 66.983871 161.239904 \nL 67.698156 174.126925 \nL 68.282572 181.016276 \nL 68.737117 184.09177 \nL 69.061792 185.080653 \nL 69.256597 185.198173 \nL 69.418935 185.0272 \nL 69.646207 184.382765 \nL 69.970882 182.65804 \nL 70.39296 179.044771 \nL 70.944908 172.097727 \nL 71.626725 160.330094 \nL 72.470881 141.627427 \nL 73.769581 107.1797 \nL 75.295554 68.018069 \nL 76.009839 54.806538 \nL 76.52932 48.633232 \nL 76.91893 46.198169 \nL 77.17867 45.668173 \nL 77.30854 45.732389 \nL 77.503345 46.235167 \nL 77.763085 47.645183 \nL 78.152695 51.253921 \nL 78.672175 58.517476 \nL 79.418928 72.632925 \nL 82.470874 134.532028 \nL 83.152692 142.710897 \nL 83.70464 147.000762 \nL 84.126717 148.83148 \nL 84.418925 149.362819 \nL 84.61373 149.385972 \nL 84.808535 149.147849 \nL 85.068275 148.431024 \nL 85.425418 146.721013 \nL 85.91243 143.104531 \nL 86.529313 136.584853 \nL 87.308533 125.761527 \nL 88.509831 105.494256 \nL 90.133207 78.651932 \nL 90.87996 69.743637 \nL 91.431907 65.493924 \nL 91.821518 63.863846 \nL 92.113725 63.417383 \nL 92.276063 63.457596 \nL 92.470868 63.77408 \nL 92.763075 64.783025 \nL 93.152686 67.070004 \nL 93.672163 71.603312 \nL 94.386449 79.983243 \nL 95.847487 100.551572 \nL 97.016317 115.51005 \nL 97.795537 122.946342 \nL 98.41242 126.943359 \nL 98.899433 128.814772 \nL 99.256575 129.450523 \nL 99.516315 129.522897 \nL 99.743588 129.320693 \nL 100.035796 128.704653 \nL 100.425406 127.283127 \nL 100.944886 124.392751 \nL 101.594236 119.377729 \nL 102.503326 110.379132 \nL 105.230597 82.000185 \nL 105.879948 77.905509 \nL 106.36696 76.046853 \nL 106.724103 75.396184 \nL 106.983843 75.307822 \nL 107.211116 75.4938 \nL 107.503323 76.084607 \nL 107.892933 77.456148 \nL 108.412414 80.216844 \nL 109.126699 85.399608 \nL 110.360464 96.376857 \nL 111.789035 108.478876 \nL 112.600723 113.546026 \nL 113.217605 116.128672 \nL 113.704618 117.311004 \nL 114.061761 117.683865 \nL 114.321501 117.693127 \nL 114.613708 117.444469 \nL 114.970851 116.779621 \nL 115.425396 115.391494 \nL 116.009811 112.805977 \nL 116.789032 108.229454 \nL 118.1202 98.790584 \nL 119.483835 89.668339 \nL 120.230588 86.011363 \nL 120.815003 84.140837 \nL 121.237081 83.401262 \nL 121.561756 83.194493 \nL 121.821496 83.255462 \nL 122.113703 83.559408 \nL 122.503314 84.334963 \nL 122.990326 85.848249 \nL 123.639677 88.649982 \nL 124.646169 94.146245 \nL 126.59422 104.895688 \nL 127.37344 107.955325 \nL 127.990323 109.558413 \nL 128.477336 110.258144 \nL 128.834478 110.445017 \nL 129.159154 110.376884 \nL 129.516296 110.047002 \nL 129.938374 109.329746 \nL 130.490321 107.904717 \nL 131.204607 105.378325 \nL 132.276035 100.658828 \nL 134.094177 92.652135 \nL 134.873281 90.198651 \nL 135.457609 89.001428 \nL 135.912086 88.499739 \nL 136.301638 88.379312 \nL 136.658728 88.517825 \nL 137.04828 88.930082 \nL 137.53522 89.79946 \nL 138.184473 91.48169 \nL 139.093428 94.545314 \nL 141.495666 102.952375 \nL 142.242308 104.670621 \nL 142.826636 105.515977 \nL 143.313576 105.857274 \nL 143.735591 105.882016 \nL 144.157605 105.660672 \nL 144.644546 105.11661 \nL 145.228874 104.097902 \nL 146.007978 102.24116 \nL 147.306485 98.45129 \nL 148.734842 94.494495 \nL 149.513947 92.928617 \nL 150.130737 92.13357 \nL 150.65014 91.806498 \nL 151.104618 91.78453 \nL 151.559095 92.003468 \nL 152.078498 92.528705 \nL 152.727751 93.542497 \nL 153.604243 95.374058 \nL 156.396033 101.528997 \nL 157.110212 102.46347 \nL 157.69454 102.900837 \nL 158.213943 103.02776 \nL 158.700883 102.924104 \nL 159.252749 102.559892 \nL 159.902002 101.833048 \nL 160.746032 100.511394 \nL 162.434091 97.314789 \nL 163.570284 95.423437 \nL 164.349388 94.516515 \nL 164.998642 94.081536 \nL 165.550507 93.961391 \nL 166.102373 94.070597 \nL 166.686701 94.42069 \nL 167.40088 95.130413 \nL 168.37476 96.455052 \nL 170.971774 100.154944 \nL 171.783341 100.850619 \nL 172.465057 101.151386 \nL 173.081848 101.186735 \nL 173.698638 101.002952 \nL 174.412817 100.543529 \nL 175.289309 99.693731 \nL 176.912443 97.726887 \nL 178.21095 96.318733 \nL 179.087442 95.683939 \nL 179.801621 95.421768 \nL 180.483337 95.401557 \nL 181.197516 95.61326 \nL 182.009083 96.104449 \nL 183.080351 97.03915 \nL 185.644902 99.377931 \nL 186.553857 99.856371 \nL 187.332961 100.026967 \nL 188.112066 99.967052 \nL 188.923632 99.67812 \nL 189.929975 99.066803 \nL 193.728108 96.492911 \nL 194.6046 96.308601 \nL 195.44863 96.35496 \nL 196.357585 96.630616 \nL 197.493778 97.221001 \nL 200.707583 99.029225 \nL 201.713926 99.26251 \nL 202.655343 99.257698 \nL 203.661686 99.028786 \nL 204.927731 98.498035 \nL 208.044147 97.095623 \nL 209.147878 96.901638 \nL 210.219146 96.94199 \nL 211.387803 97.215663 \nL 213.17325 97.9011 \nL 215.153511 98.596107 \nL 216.419933 98.797433 \nL 217.62141 98.758257 \nL 218.985249 98.476366 \nL 223.693739 97.282461 \nL 225.025106 97.319162 \nL 226.583779 97.600894 \nL 230.707767 98.474382 \nL 232.201495 98.475207 \nL 233.890057 98.241571 \nL 238.241352 97.526405 \nL 239.897442 97.563246 \nL 242.008145 97.853038 \nL 245.157963 98.276954 \nL 247.008886 98.280256 \nL 249.281951 98.041914 \nL 252.756492 97.683374 \nL 254.834723 97.720408 \nL 258.471626 98.07526 \nL 260.971997 98.178935 \nL 263.537312 98.043617 \nL 268.083441 97.772368 \nL 270.908536 97.885033 \nL 275.681971 98.097895 \nL 279.12404 97.959154 \nL 283.248029 97.84022 \nL 287.69674 98.001245 \nL 291.528478 98.029306 \nL 300.458374 97.932533 \nL 306.530703 97.996539 \nL 315.622961 97.949618 \nL 322.442155 97.964422 \nL 330.625187 97.955308 \nL 338.938108 97.94363 \nL 351.602324 97.958855 \nL 372.222266 97.94723 \nL 377.352898 97.959996 \nL 377.352898 97.959996 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 36.465625 273.312 \nL 36.465625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 393.585625 273.312 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 36.465625 273.312 \nL 393.585625 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 36.465625 7.2 \nL 393.585625 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p19aabc8379\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"36.465625\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot\n",
-    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import scipy.io\n",
-    "\n",
-    "scipy.io.savemat(\"Duffing_fitRandomSample.mat\", {\"x\": results_test_np})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb
deleted file mode 100644
index d86a989c..00000000
--- a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w.ipynb
+++ /dev/null
@@ -1,400 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "import numpy as np\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Duffing equation: Second order ODE system\n",
-    "dt = 0.01\n",
-    "\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x_\"]\n",
-    "\n",
-    "def x_prime_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"g\"]*torch.cos(coeffs[\"w\"]*prev_val[\"t\"]) - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n",
-    "\n",
-    "def t_prime(prev_val, coeffs):\n",
-    "    return 1\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"t\": t_prime}\n",
-    "\n",
-    "# Initial conditions [0,0,0]\n",
-    "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2, \"g\": 0.8, \"w\": 0.5}\n"
-   ]
-  },
-  {
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
-       "        [3.9973e-05, 7.9920e-03, 1.0000e-02],\n",
-       "        [1.5979e-04, 1.5968e-02, 2.0000e-02],\n",
-       "        ...,\n",
-       "        [1.3451e-01, 1.5991e-01, 9.9701e+00],\n",
-       "        [1.3612e-01, 1.6162e-01, 9.9801e+00],\n",
-       "        [1.3774e-01, 1.6335e-01, 9.9901e+00]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 5
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:46:23.047156</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mfdcfe6edd8\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.71554\" xlink:href=\"#mfdcfe6edd8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(51.53429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"119.710578\" xlink:href=\"#mfdcfe6edd8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(116.529328 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"184.705615\" xlink:href=\"#mfdcfe6edd8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(181.524365 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.700653\" xlink:href=\"#mfdcfe6edd8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(246.519403 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"314.695691\" xlink:href=\"#mfdcfe6edd8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(311.514441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"379.690729\" xlink:href=\"#mfdcfe6edd8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(373.328229 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"maf8f8576aa\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#maf8f8576aa\" y=\"238.995879\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −1.5 -->\n      <g transform=\"translate(7.2 242.795098)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#maf8f8576aa\" y=\"201.621172\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −1.0 -->\n      <g transform=\"translate(7.2 205.420391)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#maf8f8576aa\" y=\"164.246466\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.5 -->\n      <g transform=\"translate(7.2 168.045684)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#maf8f8576aa\" y=\"126.871759\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 130.670978)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#maf8f8576aa\" y=\"89.497052\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.5 -->\n      <g transform=\"translate(15.579688 93.296271)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#maf8f8576aa\" y=\"52.122346\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(15.579688 55.921564)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#maf8f8576aa\" y=\"14.747639\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.5 -->\n      <g transform=\"translate(15.579688 18.546858)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p0fdffd93ca)\" d=\"M 54.71554 126.871759 \nL 56.665391 126.76456 \nL 58.615241 126.444806 \nL 60.565093 125.915435 \nL 62.514946 125.179617 \nL 64.78977 124.064788 \nL 67.064594 122.67939 \nL 69.339418 121.02963 \nL 71.614243 119.122141 \nL 74.214042 116.635668 \nL 76.813841 113.833155 \nL 79.738615 110.31784 \nL 82.663389 106.4371 \nL 85.913138 101.722343 \nL 89.162889 96.615297 \nL 92.737612 90.589649 \nL 96.962286 82.996967 \nL 101.836909 73.751639 \nL 117.760678 43.109617 \nL 121.010431 37.538017 \nL 123.935205 32.965223 \nL 126.535004 29.333438 \nL 128.809828 26.543984 \nL 130.759677 24.474365 \nL 132.709526 22.726213 \nL 134.334401 21.529953 \nL 135.959275 20.581458 \nL 137.584149 19.889078 \nL 139.209024 19.459255 \nL 140.833898 19.296321 \nL 142.458773 19.40252 \nL 144.083647 19.777942 \nL 145.708521 20.420564 \nL 147.333396 21.32634 \nL 148.95827 22.489319 \nL 150.583145 23.901791 \nL 152.532994 25.912955 \nL 154.482843 28.251494 \nL 156.757667 31.365917 \nL 159.032492 34.862382 \nL 161.632291 39.278845 \nL 164.557064 44.717415 \nL 167.806813 51.25518 \nL 171.381537 58.938881 \nL 175.60621 68.541685 \nL 180.805808 80.946657 \nL 186.655403 95.488261 \nL 193.155055 112.261767 \nL 199.329725 128.80749 \nL 205.179412 145.09336 \nL 211.354082 162.966477 \nL 218.5037 184.407643 \nL 229.228127 216.648921 \nL 233.127918 227.623056 \nL 236.052762 235.267474 \nL 238.652623 241.489867 \nL 240.927501 246.392469 \nL 242.877397 250.128359 \nL 244.827293 253.383751 \nL 246.452206 255.698631 \nL 248.077119 257.628814 \nL 249.37705 258.883966 \nL 250.67698 259.874413 \nL 251.976911 260.594951 \nL 253.276841 261.042364 \nL 254.576772 261.215501 \nL 255.876702 261.115352 \nL 257.176633 260.744965 \nL 258.476563 260.109481 \nL 259.776494 259.215983 \nL 261.076424 258.073393 \nL 262.701338 256.311153 \nL 264.326251 254.200276 \nL 266.276146 251.245108 \nL 268.226042 247.877574 \nL 270.500921 243.499579 \nL 273.100782 238.011286 \nL 276.350608 230.612994 \nL 281.225347 218.878026 \nL 289.999878 197.693401 \nL 294.224652 188.11144 \nL 297.799461 180.506791 \nL 301.37427 173.427431 \nL 304.624096 167.474483 \nL 307.873923 161.990537 \nL 311.123749 156.973161 \nL 314.048593 152.847739 \nL 316.973421 149.07957 \nL 319.898264 145.653558 \nL 322.823108 142.552366 \nL 325.747952 139.757007 \nL 328.672795 137.247279 \nL 331.922622 134.768035 \nL 335.172448 132.585593 \nL 338.422274 130.669524 \nL 341.997083 128.832719 \nL 345.571892 127.239633 \nL 349.796666 125.614561 \nL 354.671406 124.001907 \nL 361.171058 122.118096 \nL 373.520398 118.585508 \nL 378.395137 116.936205 \nL 379.370085 116.57568 \nL 379.370085 116.57568 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482813 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p0fdffd93ca\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi8AAAGdCAYAAADaPpOnAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAABNI0lEQVR4nO3deVzUZeIH8M93BhgOYZD7vhREwQPxvtPEKyozsyyttty1sjKqLWt/Xbub27lumbW23WqnmpZaUp4lHqh4oAIqct/qDPfAzPf3xyBFooIy88zxeb9e84fDDPNxIubj8zzf55FkWZZBREREZCUUogMQERERdQbLCxEREVkVlhciIiKyKiwvREREZFVYXoiIiMiqsLwQERGRVWF5ISIiIqvC8kJERERWxUF0gK5mMBhQXFwMd3d3SJIkOg4RERF1gCzLqK6uRlBQEBSKy4+t2Fx5KS4uRmhoqOgYREREdBUKCgoQEhJy2cfYXHlxd3cHYPzLe3h4CE5DREREHaHVahEaGtr6OX45NldeLkwVeXh4sLwQERFZmY4s+eCCXSIiIrIqLC9ERERkVVheiIiIyKqYtLzs2LEDycnJCAoKgiRJ+Pbbby/7+G3btkGSpItuJ06cMGVMIiIisiImXbBbW1uL/v37495778WMGTM6/LysrKw2i219fX1NEY+IiIiskEnLy5QpUzBlypROP8/Pzw+enp5dH4iIiIisnkWueUlISEBgYCAmTJiArVu3XvaxjY2N0Gq1bW5ERERkuyyqvAQGBmL58uVYvXo11qxZg169emHChAnYsWPHJZ+zePFiqNXq1ht31yUiIrJtkizLslleSJKwdu1a3HzzzZ16XnJyMiRJwvr169v9emNjIxobG1v/fGGHPo1Gw03qiIiIrIRWq4Vare7Q57dFjby0Z9iwYcjJybnk11UqVetuutxVl4iIyPZZfHk5ePAgAgMDRccgIiIiC2HSq41qampw8uTJ1j/n5uYiIyMDXl5eCAsLw6JFi1BUVIRPP/0UALBkyRJEREQgLi4OOp0OK1aswOrVq7F69WpTxiQiIiIrYtLykp6ejuuuu671zykpKQCAu+++Gx9//DFKSkqQn5/f+nWdTocnnngCRUVFcHFxQVxcHDZs2ICpU6eaMibZKYNBxunKWhwuPI8STQPO1+ngqFTAw8URPX27IT5YjQC1s+iYRET0B2ZbsGsunVnwQ/bpRKkWX+4rwIbDJSivbrzsY+OCPDCtXyDuGByG7m5OZkpIRGR/OvP5zfJCdiOzWIM3Nmdjy4ny1vucHRXoG6xGhLcburs5oUlvwNlaHbJKq5FdVg2D/NvjZg8JxyMTesLTlSWGiKirdebz26TTRkSWoKaxGa/+cAIrdufBIAMKCZgUF4AZA0MwJsYXTg7tr1uvqmlE6rEyfLY7D5nFWnz4ay7WHCzEM1N7Y2ZiCCRJMvPfhIiIAI68kI07UqjBw58fwJmqOgDADf0C8XhSL0T6uHX4e8iyjJ05lfjHhmPILqsBACT18cert/bjKAwRURfhtBHLCwFYuScPL6zPRJNeRrCnC169tR9G9vS56u/XrDfg/Z25eDM1C016GRHervjf3YPR069bF6YmIrJPNrVJHVFnGQwyXvnhBJ5dexRNehlJffyx4ZFR11RcAMBBqcAD43pg7YMjEezpgjNVdZi+7FfsOlnZRcmJiKgjWF7IpugNMp745hDe3XYKAPDY9TH475zELp3eiQ9WY92CkUgM747qhmbc8/E+bMsqv/ITiYioS7C8kM0wGGQ8+c0hrDlQBKVCwmu39sOj10ebZGGtTzcVVs0biol9/KFrNuDPn+7H1hMsMERE5sDyQjZBlmU8s/ZIa3FZekcCZg4y7QnjKgcl3pk9EJPi/KHTG/CXFfux78xZk74mERGxvJCNeDM1G1/sK4BCApbMGoApfc1zHpaTgwJLZw/E9b2NIzD3f5KOk+U1ZnltIiJ7xfJCVu/r9AK8vcV4hta/bumH5P5BZn19R6UCb9+RgAGhntDUN+HuD/eisubyO/cSEdHVY3khq7brZCUWrTkCAFhwXU/cNti0U0WX4uKkxAd3D0KEtyuKztfjoZUH0Kw3CMlCRGTrWF7IahWeq8ODqw6g2SAjuX8QUibGCM3j3U2F/909CG5OSuzJPYvFm04IzUNEZKtYXsgqNTbr8dCqgzhf14T+IWq8dms/KBTit+vv6eeON24bAAD44JdcfH+4WGwgIiIbxPJCVunlDcdxqOA81C6OeOfOgXB2VIqO1GpyfAAeGNcDALBozREUna8XnIiIyLawvJDV2XC4BJ+k5QEA/j2rP0K6uwpOdLHHJ8YgIcwT1Q3NeOzLDOgNNnUKBxGRUCwvZFVKNPVYtOYwAOCBcT0wPtZfcKL2OSgVWDJrANyclNibexbvbT8lOhIRkc1geSGrIcsy/vrNYWgbmtEvRC18ge6VhHu74cWb4gEA/07NxtEijeBERES2geWFrMZnu/OwM6cSKgcF3rxtAByVlv/jO2NgMKbEB6DZIOOp1Yd5+TQRURew/N/+RABOVdTg5Y3HAQBPT4lFT79ughN1jCRJeOmmeKhdHJFZrMX7O3NFRyIisnosL2TxDAYZT359CA1NBozs6Y27h0eIjtQpvu4q/N8NfQAAS37KRm5lreBERETWjeWFLN7Kvfk4kH8ebk5KvHprf4vYz6WzZgwMxuhoHzQ2G/D06sOQZV59RER0tVheyKKVaRvwastOtU9O6oVgTxfBia6OJEl4eXpfODsqsCf3LNYf4uZ1RERXi+WFLNqL32WiurEZ/UM9McfKpov+KNTLFQuu6wkAeHnjcdQ0NgtORERknVheyGL9fLwMG4+UQqmQsHh6XyitcLroj+4fHYVwb1eUaRvx9pYc0XGIiKwSywtZpNrGZjy3LhMAcP+oSPQJ8hCcqGs4OyrxXMvi3Q9/ycWpihrBiYiIrA/LC1mkt7ecRNH5eoR0d8Gj10eLjtOlJvT2x/hYPzTpZbywPpOLd4mIOonlhSzOmcpafPiLcT+UF5Lj4OrkIDhR13vuhj5wUiqwM6cS27IrRMchIrIqLC9kcf6x4Rh0egPGxPhiQm8/0XFMIsLHDfeMjAAA/GvjCR7cSETUCSwvZFG2Z1fgp+PlcFBIeO6G3pAk61+keykPjesJtYsjssqqsXp/oeg4RERWg+WFLEaT3oC/f38MADB3eAR6+rkLTmRaalfH1kun30jNQr1OLzgREZF1YHkhi/FZWh5OltfA283J5hbpXsrcEeEI6e6CMm0jPvyV5x4REXUEywtZhKqaRvz7p2wAwBOTekHt4ig4kXmoHJR4clIvAMC7206hqqZRcCIiIsvH8kIW4T8/56C6oRlxQR64bVCo6DhmldwvCH2D1ahpbMZ720+JjkNEZPFYXki40xU1WLUnHwDw7LTeNrGTbmcoFBJSkmIAAJ+m5aFc2yA4ERGRZWN5IeFe+zELzQYZ42P9MKKHj+g4QoyL8cXAME80NhuwbBtHX4iILoflhYQ6kH8Om46WQiEBT02OFR1HGEmS8HiSce3Lqj35KDpfLzgREZHlYnkhYWRZxuKNxwEAtyaGoFeAbV8afSUjenhjWJQXdHoDlm45KToOEZHFYnkhYX46Xo59Z85B5aDAYxNjRMcR7vejL1+nFyC/qk5wIiIiy8TyQkI06w341ybjqMt9oyIRqHYRnMgyDI7wwuhoHzQbZLy1JUd0HCIii8TyQkJ8vb8Qpypq0d3VEfPH9RAdx6KktIxCrT1YxNEXIqJ2sLyQ2dXr9Ph3qnFDuofHR8PD2T42pOuohLDuGB3tA71Bxns7eOUREdEfmbS87NixA8nJyQgKCoIkSfj222+v+Jzt27cjMTERzs7OiIqKwnvvvWfKiCTAp2lnUF7diJDuLrhzWJjoOBbp4fHG4xG+SS9EqYb7vhAR/Z5Jy0ttbS369++PpUuXdujxubm5mDp1KkaPHo2DBw/imWeewSOPPILVq1ebMiaZUXVDE95t2UX20QnRUDkoBSeyTEMivTAkwnjl0fIdp0XHISKyKA6m/OZTpkzBlClTOvz49957D2FhYViyZAkAoHfv3khPT8frr7+OGTNmmCglmdMHv+TifF0TonzdMD0hWHQci7ZgfE/M/XAvVu3Nw0PX9YB3N5XoSEREFsGi1rykpaUhKSmpzX2TJk1Ceno6mpqa2n1OY2MjtFptmxtZpnO1Onyw03hy8mPXx8BBaVE/fhZndLQP+oWo0dBk4InTRES/Y1GfHqWlpfD3929zn7+/P5qbm1FZWdnucxYvXgy1Wt16Cw21r0P9rMl/d5xGdWMzegd6YFrfQNFxLJ4kSVhwXU8AwKe78qCpb7/AExHZG4sqL4DxF/bvybLc7v0XLFq0CBqNpvVWUFBg8ozUeeXVDfh4l3H04PGJMVDY2eGLV+v63v7o5e+O6sZmfLrrjOg4REQWwaLKS0BAAEpLS9vcV15eDgcHB3h7e7f7HJVKBQ8PjzY3sjzLtp5CQ5MBA0I9MaG3n+g4VkOhkPDQeOPoy4e/5qJepxeciIhIPIsqL8OHD0dqamqb+zZv3oxBgwbB0ZF7gVirovP1WLUnHwDwRFKvS46iUfum9Q1EmJcrztU14ev9HFkkIjJpeampqUFGRgYyMjIAGC+FzsjIQH6+8YNs0aJFmDt3buvj58+fj7y8PKSkpOD48eP48MMP8cEHH+CJJ54wZUwysbd/zoFOb8CwKC+M7Nn+CBpdmlIh4f7RkQCA/+3Mhd4gC05ERCSWSctLeno6EhISkJCQAABISUlBQkICnnvuOQBASUlJa5EBgMjISGzcuBHbtm3DgAED8Pe//x1vvfUWL5O2YrmVtfh6fyEA4MlJHHW5WjMTQ9Hd1RH5Z+vwY2bplZ9ARGTDJPnCilgbodVqoVarodFouP7FAjz6xUGsyyjGdb188dG9Q0THsWpvpmbjrZ9z0D/UE98+OIJFkIhsSmc+vy1qzQvZlqzSaqw/VAwAeDypl+A01u/u4eFQOShwqOA89uaeFR2HiEgYlhcymTc2Z0GWgSnxAYgPVouOY/W8u6lwa2IIAPDIACKyaywvZBKHC89j87EySBKQMjFGdBybcf/oKEgS8POJcuSUVYuOQ0QkBMsLmcS/U7MBADcPCEa0v7vgNLYj0scNk/oEAADe38nRFyKyTywv1OX2553D1qwKKBUSHp0QLTqOzZk3JgoA8O3BYpRrGwSnISIyP5YX6nJLfjKOuswYGIwIHzfBaWxPYnh3DArvDp3egI95ZAAR2SGWF+pSe3PPYmdOJRwUEh4ez1EXU7l/tHH05fO9+Who4pEBRGRfWF6oS72ZmgUAuG1wKEK9XAWnsV0T+/gjpLsLztU14duDRaLjEBGZFcsLdZldJyux+/RZOCkVWHBdT9FxbJpSIeGeEREAjAc22thek0REl8XyQl1ClmW80XKF0R1DQhHk6SI4ke2bOSgUrk5KZJfVYNepKtFxiIjMhuWFusSOnErszzsHlYMCD3LUxSzULo6Y2bJp3Ye/5ApOQ0RkPiwvdM1kWcabm41rXe4aFg5/D2fBiezH3S1TR1uyypFbWSs2DBGRmbC80DXbcqIchwo1cHFUYv7YHqLj2JUo324YH+sHWQY+4WXTRGQnWF7omsiyjDdb1rrMHREOX3eV4ET2596REQCAr9MLoG1oEhuGiMgMWF7omvyYWYbMYi3cnJT4yxiOuogwqqcPov26oVanx1f7CkTHISIyOZYXumoGg9x6htG9IyPh5eYkOJF9kiQJ946MBAB8knYGegMvmyYi28byQldt49ESZJVVw13lgHktO76SGNMTguHp6oiCs/X46XiZ6DhERCbF8kJXRW+QseSnHADAfaMjoXZ1FJzIvrk4KXHHkDAAwEe/8rJpIrJtLC90Vb47VIyT5TVQuzjiT6MiRcchAHOHh0OpkLD79FlklVaLjkNEZDIsL9RpzXoD/vOzcdTlz2Oi4OHMURdLEKh2wcTe/gCAz3afERuGiMiEWF6o09YeLEJuZS283JxaN0kjyzB3eDgAYO2BIlTzsmkislEsL9QpTXoD3tpiHHX5y5godFM5CE5Evze8hzd6tlw2veYAT5smItvE8kKd8nV6IQrO1sOnmwpzh0eIjkN/IEkS5gwzjr58tjuPp00TkU1ieaEOa2jS462WtS4PjOsBFyel4ETUnlsGBsPNSYmT5TVI42nTRGSDWF6ow1bszkOptgFBamfcOTRMdBy6BHdnR0wfGAwA+DQtT3AaIqKux/JCHVLd0IR3tp4EADx6fTScHTnqYskuTOmlHi9DiaZebBgioi7G8kId8sEvuThX14QoHzfMGBgiOg5dQYy/O4ZGekFvkLFqT77oOEREXYrlha7obK0O/9tp3LU1JSkGDkr+2FiDC6Mvn+8tgK7ZIDYMEVEX4qcQXdG7206iprEZcUEemBofKDoOdVBSnD/8PVSorGnEpqMlouMQEXUZlhe6rBJNPT5pWfT5xKReUCgkwYmooxyVitbzjj7jwl0isiEsL3RZb/18ErpmA4ZEeGFcjK/oONRJs4eEwUEhIT3vHI4Va0XHISLqEiwvdEm5lbX4Kr0AAPDk5F6QJI66WBs/D2dMig8AwPOOiMh2sLzQJf07NRt6g4zrevlicISX6Dh0lea27Lj77cFiaOp53hERWT+WF2rXsWIt1h8qBgA8ntRLcBq6FkMivdDL3x31TXqsPVAoOg4R0TVjeaF2/euHEwCAG/oFIj5YLTgNXQtJkjC7ZUfkVXvzed4REVk9lhe6yM6cCuzIroCjUsKTkzjqYgumDwyGi6MS2WU12J93TnQcIqJrwvJCbRgMMhZvNI663Dk0HOHeboITUVfwcHZEcn/jHj0rueMuEVk5lhdqY+3BIhwr0cJd5YBHJkSLjkNdaPZQ48LdDUdKcK5WJzgNEdHVY3mhVg1NeryxOQsA8OB1PeHl5iQ4EXWl/iFqxAV5QNdswGou3CUiK8byQq0++vUMijUNCFI7496REaLjUBfjwl0ishUsLwTAePjisq0nARgvjXZ2VApORKZw04BguDkpcbqiFrtPnxUdh4joqpilvCxbtgyRkZFwdnZGYmIidu7cecnHbtu2DZIkXXQ7ceKEOaLarbe35KC6sRm9Az1wc0Kw6DhkIt1UDrip5b/vyj0874iIrJPJy8uXX36JhQsX4tlnn8XBgwcxevRoTJkyBfn5l7/iISsrCyUlJa236GguHjWVvKparNht/CB7ZmoslDx80abNbjms8cfMUlTWNApOQ0TUeSYvL2+++Sbuu+8+3H///ejduzeWLFmC0NBQvPvuu5d9np+fHwICAlpvSiWnMUzl5Y3H0aSXMTraB6OjefiirYsPVqN/iBpNehnf7OfCXSKyPiYtLzqdDvv370dSUlKb+5OSkrBr167LPjchIQGBgYGYMGECtm7desnHNTY2QqvVtrlRx/16shI/ZpZBqZDwt2l9RMchM7mz5bLpVXvyYTBw4S4RWReTlpfKykro9Xr4+/u3ud/f3x+lpaXtPicwMBDLly/H6tWrsWbNGvTq1QsTJkzAjh072n384sWLoVarW2+hoaFd/vewVc16A1767hgA4K6hYegV4C44EZnLDf0D4a5yQP7ZOvx6qlJ0HCKiTnEwx4tIUts1FLIsX3TfBb169UKvXr9tST98+HAUFBTg9ddfx5gxYy56/KJFi5CSktL6Z61WywLTQZ/vzUdWWTU8XR3x2MQY0XHIjFydHDB9YDA+TcvDqj35nC4kIqti0pEXHx8fKJXKi0ZZysvLLxqNuZxhw4YhJyen3a+pVCp4eHi0udGVna/T4c3UbABAysQYeLpyQzp7c2HPl83HylCubRCchoio40xaXpycnJCYmIjU1NQ296empmLEiBEd/j4HDx5EYGBgV8eza0t+ysG5uibE+HdrvfqE7EtsgAcSw7tDb5DxVXqB6DhERB1m8mmjlJQUzJkzB4MGDcLw4cOxfPly5OfnY/78+QCM0z5FRUX49NNPAQBLlixBREQE4uLioNPpsGLFCqxevRqrV682dVS7kVNWjc9aLo1+PjkODkruVWivZg8Jw/68c/h8bwEeGNeTl8kTkVUweXmZNWsWqqqq8NJLL6GkpATx8fHYuHEjwsONVzuUlJS02fNFp9PhiSeeQFFREVxcXBAXF4cNGzZg6tSppo5qF2RZxkvfH4PeICOpjz9G9vQRHYkEmtYvEC9+l4mi8/X49WQlxsRw7QsRWT5JtrEDTrRaLdRqNTQaDde/tGPD4RI8tOoAnBwUSH1sDMK93URHIsGeX3cUn6TlYVrfQLxz50DRcYjITnXm85vzBXakuqEJL32fCQB4YGwPFhcCAMwafGHhbimquOMuEVkBlhc78u/UHJRpGxHh7YoHxvUQHYcsRJ8gD/Rr2XF37cEi0XGIiK6I5cVOZBZr8PGuXADASzfF89RoamPWYOPeSF/sK4CNzSQTkQ1iebEDBoOMv317FAYZmNY3kIsy6SI39g+Ci6MSJ8trcCD/nOg4RESXxfJiB75ML8DB/PNwc1Li/27g+UV0MXdnR0zrZ9xL6Yu93POFiCwby4uNK69uwL82nQAApCT1QoDaWXAislS3t0wdfX+4BNUNTYLTEBFdGsuLjXt+XSY09U2IC/LA3cPDRcchC5YY3h09fN1Q36THd4dKRMchIroklhcbtulICTYdLYWDQsKrt/bjTrp0WZIk4faWy6a/3Jd/hUcTEYnDTzMbda5Wh/9b17Kny7geiAtSC05E1mD6wGA4KiUcKtTgWLFWdBwionaxvNiov39/DJU1jYj264YF43uKjkNWwqebChP7GE9852GNRGSpWF5s0NYT5VhzsAiSBLxyaz+oHLinC3XchR131xwoREOTXnAaIqKLsbzYGE19E55ZewQAcN/ISAwM6y44EVmbUT19EOzpAm1DM37MLBUdh4joIiwvNua5dUdRomlAhLcrHk/qJToOWSGlQsLMQSEAuOcLEVkmlhcbsi6jCOsyiqFUSHhz1gC4OHG6iK7OzEGhkCQg7XQVzlTWio5DRNQGy4uNKDpfj799exQAsOC6npwuomsS7OmCMdHGYyS4cJeILA3Liw0wGGQ8/lUGqhuaMSDUk1cXUZe4sOPu1/sL0aw3CE5DRPQblhcbsHznaew+fRYujkr8e9YAOHIzOuoCE3r7w9vNCRXVjdiaVSE6DhFRK37KWbn0M2fx2o9ZAIDnkvsg0sdNcCKyFU4OCsxINC7c5Y67RGRJWF6sWFVNIxasOgi9QUZy/6DWYX6irnJby1VHW7MqUF7dIDgNEZERy4uVMhhkPPbVIZRqGxDl44bFt/SFJEmiY5GN6ennjgGhntAbZHx7sEh0HCIiACwvVmvZtpPYkV0BlYMCy+4aiG4qB9GRyEZd2PPl6/RCyLIsOA0REcuLVdqZU4E3U7MBAH+/OR6xAR6CE5EtS+4fBJWDAjnlNThUqBEdh4iI5cXanK6owUMrD8AgAzMTQ3DbIK5zIdPycHbE5PgAAMDX3POFiCwAy4sV0TY04f5P06FtaMbAME/8Y3q86EhkJ2YmGkvy+kPFPKyRiIRjebESeoOMRz4/iNMVtQhUO+O9OYk8LZrMZkQPbwR7uqCahzUSkQVgebECsizjpe8ysS2rAs6OCrw/dxD83J1FxyI7olBImDEwGADwzf5CwWmIyN6xvFiBZdtO4ZO0PEgS8MbMAYgPVouORHbo1papo19OVqLofL3gNERkz1heLNzX6QW/7aB7Qx9M6xcoOBHZqzBvVwyN9IIsA2s4+kJEArG8WLAtJ8rw9JojAIC/jI3CvSMjBSciezez5eq2bw5wzxciEoflxUJtyyrH/M8OQG+QMT0hGE9NihUdiQhT+wbAzUmJvKo67DtzTnQcIjKzmsZmrN5fiPe2nxKag9uyWqAd2RX482f7odMbMDkuAK/e2g8KBbf+J/FcnRwwrV8gvkovxNfpBRgS6SU6EhGZWJPegF9yKrH2YBE2HytFQ5MBLo5KzBkWDjdBu7uzvFiYnTkVmPdpOnTNBiT18cfbsxPgqOQAGVmOmYNC8VV6ITYcKcELN8YJ++VFRKbT2KzHLzmV2HS0FKnHyqCpb2r9WpSPG25OCEazQdzUMX/rWJDvDxcj5ctD0OkNuL63P5bOHsjiQhZnUHh3RPq4IbeyFhuPlLSugyEi61av02N7djk2HS3Fz8fLUdPY3Po1n25OuKFfEKYnBKNfiFr4QcAsLxbi07QzeH59JmTZuK7g37MGwMmBxYUsjyRJuDUxBK/9mIWv9xeyvBBZsTOVtdiWVY6tWRXYfboKjc2G1q/5e6gwOS4Ak+MDMSTSC0oLWr7A8iKY3iDjlR9OYPmO0wCAOcPC8cKNcRb1Q0L0R7cMDMYbm7OwN/cs8qpqEe7tJjoSEXVAQ5Mee3LPYltWObZlVSC3srbN10O6u2BKvLGwJIR6Wux6S5YXgTR1TXj4i4PYkV0BAHjs+hg8MqGn8OE4oisJVLtgVLQvdmRX4Jv9hXg8qZfoSER0CflVddieU4FtJ8qx61QV6n93PpmDQsLgCC9cF+uLcb38EO3XzSo+g1heBDlapMHDnx9EbmUtnB0VeH1mf9zQL0h0LKIOm5kYgh3ZFVi9vxCPXR9jsf9CI7I3dbpm7D5dhe1ZFdiRU3nR6Iq/hwrX9fLDuF5+GNnTG+7OjoKSXj2WFzMzGGS8v/M0Xt+chSa9jGBPFyyfm4i4IG75T9ZlYh9/uDs7oFjTgN25VRjRw0d0JCK7JMsyTpRWY0d2BXbkVGBf7jno9L+tXXFQSBgY1h3jYn1xXS8/xAa4W8XoyuWwvJjRyfIaPLv2CPbkngUATI4LwOJb+qK7m5PgZESd5+yoxA39AvH53gKsOVDE8kJkRpr6JuzIrsD27ArszKlAmbaxzddDurtgbIwvxsT4YkQP6xxduRyWFzOo1+mxbNtJvLf9FJr0MlwclXg+uQ9mDQ61+vZL9u2WgSH4fG8BNh0pwUs3xcHVib9SiEyl4Gwdfjpehp+Ol2HP6bNt9llxdlRgeJQ3xsT4YmyMLyJ93Gz684W/aUyosVmPz/fk451tp1BRbWzF42P98OKNcQj1chWcjujaDQrvjlAvFxScrcfmzDLcnBAsOhKRzZBlGZnFWmw6WoKfjpUjq6y6zdd7+nXD+Fg/jIn2xaCI7nB2VApKan5mKS/Lli3Da6+9hpKSEsTFxWHJkiUYPXr0JR+/fft2pKSkIDMzE0FBQfjrX/+K+fPnmyNqlyivbsBX+wqwck8+SjQNAIBQLxc8O7UPJsX523QbJvsiSRJuSQjBf37OweoDhSwvRF0gu6wa3x0qxveHS9ostlUqJAyO6I7re/vj+t7+iPCx3y0KTF5evvzySyxcuBDLli3DyJEj8d///hdTpkzBsWPHEBYWdtHjc3NzMXXqVMybNw8rVqzAr7/+igcffBC+vr6YMWOGqeNeNU1dE7ZkleGHlp0JLwznBXg44+EJPTEzMZSbzpFNumVgMP7zcw5+PVmJMm0D/D2cRUcisjqlmgasPlCI9RnFbUZYVA4KjI/1w6S4AIzr5QtPV66RBABJNvG59kOHDsXAgQPx7rvvtt7Xu3dv3HzzzVi8ePFFj3/qqaewfv16HD9+vPW++fPn49ChQ0hLS7vi62m1WqjVamg0Gnh4eHTNXwLGq4QKz9WjVteMOl0zztU2Ie9sHU5V1OBA3jlklVXj9+9kQpgn7hoajmn9Au1qKI/s063v7kJ63jk8MzUWfx7TQ3QcIqvQpDdgy4lyfLWvAFuzynFhCYujUsLYGF8k9w/ChN7+6GYn54d15vPbpO+ITqfD/v378fTTT7e5PykpCbt27Wr3OWlpaUhKSmpz36RJk/DBBx+gqakJjo5tV0w3NjaisfG3VdZarbaL0rdV36THmNe2XvYx0X7dMCkuAFP7BqJPUNcVJyJLd8vAEKTnncPq/UWYNzqKU6NEl1GqacCnaWfwVXohKmt++/waEuGFWxNDMCkuAGpX27o6qKuZtLxUVlZCr9fD39+/zf3+/v4oLS1t9zmlpaXtPr65uRmVlZUIDAxs87XFixfjxRdf7Nrg7XBxVMLNSQkXJwe4qZRwd3ZAmJcrwrzc0D9EjcTw7vDjcDnZqWl9A/HCd5nIKqvGsRIt9y0iaseRQg0++OU0vj9c0rq0wKebE2YkhuC2QaHo4dtNcELrYZaxqD/+K0yW5cv+y6y9x7d3PwAsWrQIKSkprX/WarUIDe36g+IUCgmZL03u8u9LZAvUro6Y2NsfG46UYM2BIpYXohayLGN7dgWWbTuFvS17fAHAkEgv3DsiAtf38YejkushO8uk5cXHxwdKpfKiUZby8vKLRlcuCAgIaPfxDg4O8Pb2vujxKpUKKpWq60IT0VW5ZWAwNhwpwbqMIiyaEgsH/kImO3ahtCz5KQcZBecBGHe6Te4fhPtGRSI+mAX/Wpi0vDg5OSExMRGpqamYPn166/2pqam46aab2n3O8OHD8d1337W5b/PmzRg0aNBF612IyHKMifGFt5sTKmt02JlTieti/URHIhJi16lKvPpDVmtpcXZU4K6h4bh/dBQC1Fxe0BVMPm2UkpKCOXPmYNCgQRg+fDiWL1+O/Pz81n1bFi1ahKKiInz66acAjFcWLV26FCkpKZg3bx7S0tLwwQcf4PPPPzd1VCK6Bo5KBZL7B+HjXWew+kAhywvZnVMVNVi88QR+Ol4GwFha5gwLx5/H9ICvO2cIupLJy8usWbNQVVWFl156CSUlJYiPj8fGjRsRHh4OACgpKUF+fn7r4yMjI7Fx40Y89thjeOeddxAUFIS33nrLovd4ISKjGQND8PGuM9h8rAya+iaoXThaSrbvfJ0OS37KwYrdeWg2yFAqJNw1NAwLxkeztJiIyfd5MTdT7fNCRFcmyzKS/r0DOeU1+NctfXH7kIs3oiSyFbIsY11GMf7+/TFU1eoAABNi/bBoam/09OOVQ53Vmc9vrqgjoi4jSRJuGRgCAFhzoEhwGiLTyauqxdwP92LhlxmoqtUh2q8bVtw3FB/cM5jFxQxYXoioS92cEARJAvaeOYuCs3Wi4xB1KVmW8cmuM5i0ZAd25lTCyUGBJ5JisOGR0RgV7SM6nt1geSGiLhWodsHIHsZf4msPcvSFbEeZtgFzP9yL59dnoqHJgOFR3vhx4RgsGB/Ns+vMjO82EXW5WwYaT5dec6AQNrasjuzUD0dLWkdbVA4KvJDcByvvH4pIOz7ZWST7OO2JiMxqUlwAXJ2O4kxVHQ4WnMfAsO6iIxFdlSa9Af/adAIf/JILAIgP9sCSWQPQ089dcDL7xpEXIupybioHJPUx7qK9PqNYcBqiq1OqacAdy3e3Fpc/j4nCmgdGsrhYAJYXIjKJmwYYp46+P1yMZr1BcBqiztmbexY3vL0T6Xnn4K5ywHt3JeKZqb25tsVC8L8CEZnEqGgfeLUcF/DLyUrRcYg6bM2BQtz5v92orNEhNsAd6x8ehcnxAaJj0e+wvBCRSTgqFbihXyAAYB2njsgKyLKMNzdnIeWrQ2jSy5gcF4C1D47kolwLxPJCRCZzYerox8xS1Ov0gtMQXZqu2YCFX2bgrS0nAQDzx/bAsjsHwsVJKTgZtYflhYhMZmCYJ0K9XFCn0yO15bA6IktTr9Nj3qfpWJdRDAeFhFdm9MXTU2KhUEiio9ElsLwQkclIkoSb+htHX9ZxwzqyQNqGJsz9cA+2Z1fAxVGJD+4ZjFmDeSaXpWN5ISKTujkhCACwPbsCZ1sOryOyBFU1jZj9/m7sO3MO7s4O+Oy+IRgb4ys6FnUAywsRmVRPP3fEBXmg2SBj45ES0XGIAABna3WY/f4eHC3SwtvNCV/8eRgGRXiJjkUdxPJCRCZ3c8vC3XUZnDoi8TR1Tbjrf3uQVVYNP3cVvpo/HHFBatGxqBNYXojI5JL7G0+a3nfmHArP8aRpEqe6ZY3LsRItfLo5YdW8Yejh2010LOoklhciMrkAtTOGRXoD4J4vJE6drhn3frQPhwo16O7qiJX3D0NPPxYXa8TyQkRmcWHhLs86IhGa9QY8tPIA0vPOwcPZAZ/dNxS9AnhGkbVieSEis5gcHwgnpQJZZdU4XqIVHYfsiCzLeHbtUWzNqoCzowIf3TsE8cFc42LNWF6IyCzULo4YH+sHAPiWC3fJjP7zcw6+TC+AQgLevmMgEsO7i45E14jlhYjM5sLU0XcZxTAYZMFpyB58ta8AS37KAQD8/eZ4TOzjLzgRdQWWFyIym3G9/ODu7IBiTQP2nTkrOg7ZuN2nq/DM2iMAgAXX9cSdQ8MFJ6KuwvJCRGbj7KjElPgAAMC3XLhLJlRwtg4PrjyAZoOMG/sH4fGkGNGRqAuxvBCRWV3YsG7jkRLomg2C05AtqtM148+f7cfZWh3igz3w6q39IEk8ZNGWsLwQkVkNjfKGv4cKmvombM+uEB2HbIwsy3jy68M43rIJ3fI5g+DsqBQdi7oYywsRmZVSIeGGfi0Ldw9x6oi61rvbT2HDkRI4KiW8e1cigjxdREciE2B5ISKzS+5vLC8/HS9DvU4vOA3Zir25Z/HG5mwAwAs3xmEwD1q0WSwvRGR2/UPUCPVyQZ1Ojy0nykXHIRtQVdOIRz4/CL1BxvSEYMweEiY6EpkQywsRmZ0kSUjm1BF1EYNBRspXh1CqbUCUrxv+cXM8F+jaOJYXIhLiwtTRlqxyVDc0CU5D1uy/O05je3YFVA4KLLtzINxUDqIjkYmxvBCRELEB7ujh6wZdswGpx8pExyErdTD/HF7fnAUAePHGOMQGeAhORObA8kJEQkiS1Dr6wqkjuhp1umakfHUIeoOM5P5BmDU4VHQkMhOWFyIS5sIl0ztzKnG+Tic4DVmbxRtPILeyFgEezvjHTVznYk9YXohImJ5+3dAn0APNBhk/HC0VHYesyLascny2Ow8A8PrM/lC7OgpORObE8kJEQrVOHR3m1BF1zLlaHf76zWEAwD0jIjAq2kdwIjI3lhciEuqGfoEAgLRTVSivbhCchqzBc+szUV7diChfNzw1OVZ0HBKA5YWIhAr1csWAUE8YZGDTEU4d0eX9dKwM3x0qhkIC/n3bALg48dwie8TyQkTC8aoj6ojqhib837qjAIB5o6PQP9RTbCAShuWFiISb1jcQkgSk551D8fl60XHIQr36QxZKNA0I93bFwutjRMchgVheiEi4ALUzhrQcorfhcIngNGSJ0s+cbb26aPH0vpwusnMsL0RkEXjVEV1KY7MeT602Xl1026AQjOjJq4vsnUnLy7lz5zBnzhyo1Wqo1WrMmTMH58+fv+xz7rnnHkiS1OY2bNgwU8YkIgswJT4ASoWEw4UanKmsFR2HLMh/t5/GqYpa+HRT4dmpfUTHIQtg0vIye/ZsZGRk4IcffsAPP/yAjIwMzJkz54rPmzx5MkpKSlpvGzduNGVMIrIA3t1UGNHDGwDwPUdfqEXB2Tq8s/UkAOC55D7cjI4AACY7evP48eP44YcfsHv3bgwdOhQA8P7772P48OHIyspCr169LvlclUqFgIAAU0UjIguV3D8IO3Mq8d2hEiwYHy06DlmAl74/hsZmA0b08EZyy55ARCYbeUlLS4NarW4tLgAwbNgwqNVq7Nq167LP3bZtG/z8/BATE4N58+ahvLz8ko9tbGyEVqttcyMi6zQpLgCOSglZZdXILqsWHYcE25pVjtRjZXBQSHjxxjieXUStTFZeSktL4efnd9H9fn5+KC299EZUU6ZMwcqVK7Flyxa88cYb2LdvH8aPH4/GxsZ2H7948eLWNTVqtRqhoTxVlMhaqV0cMTbG+Hvje+75Ytcam/V4cX0mAODekRGI9ncXnIgsSafLywsvvHDRgto/3tLT0wGg3ZYsy/Jl2/OsWbMwbdo0xMfHIzk5GZs2bUJ2djY2bNjQ7uMXLVoEjUbTeisoKOjsX4mILMiF4wI2HCmBLMuC05Ao7+84jTNVdfBzV+FR7ulCf9DpNS8LFizA7bffftnHRERE4PDhwygrK7voaxUVFfD39+/w6wUGBiI8PBw5OTntfl2lUkGlUnX4+xGRZZvQ2w9ODgqcqqhFVlk1YgM8REciMyvR1GNpyyLdZ6f1RjeVyZZnkpXq9E+Ej48PfHyufI398OHDodFosHfvXgwZMgQAsGfPHmg0GowYMaLDr1dVVYWCggIEBnKhFpE9cHd2xNgYX6QeK8PGwyUsL3bo9R+z0dBkwKDw7rixZf8fot8z2ZqX3r17Y/LkyZg3bx52796N3bt3Y968ebjhhhvaXGkUGxuLtWvXAgBqamrwxBNPIC0tDWfOnMG2bduQnJwMHx8fTJ8+3VRRicjCTOvLqSN7dbRIgzUHCwEAf7uhDxfpUrtMus/LypUr0bdvXyQlJSEpKQn9+vXDZ5991uYxWVlZ0Gg0AAClUokjR47gpptuQkxMDO6++27ExMQgLS0N7u5crEVkL/44dUT2QZZl/GPDMcgycNOAIAzgwYt0CSadSPTy8sKKFSsu+5jf/6vKxcUFP/74oykjEZEV4NSRffrpeDl2nz4LJwcFnpx06b3AiHi2ERFZJE4d2ZcmvQGLNx4HANw3KhIh3V0FJyJLxvJCRBaJU0f25fO9+ThdWQtvNyc8OK6H6Dhk4VheiMgiuTs7Yky0LwBg4+ESwWnIlOp0zXjrZ+N2GAuvj4a7M88vostjeSEii8UN6+zDR7+eQWWNDmFerrh9SJjoOGQFWF6IyGL9fuoou6xGdBwyAU1dE/67/RQAIGViDByV/FiiK+NPCRFZrN9PHW04zLOObNHynaegbWhGL393JHNDOuoglhcismjT+gUA4NSRLaqobsSHv5wBADyeFAOlghvSUcewvBCRRbu+tz+njmzUO1tPor5Jj/6hnpjYp+Nn3hGxvBCRRePUkW0qPFeHVXvyAQB/ndSLxwBQp7C8EJHF49SR7Xn755PQ6Q0Y2dMbI3te+bBfot9jeSEii8epI9tScLYOqw8YD19MmchjAKjzWF6IyOK1mTo6wg3rrN2720+h2SBjdLQPEsO7i45DVojlhYisQuvU0eFiTh1ZseLz9fg6vQAA8MiEaMFpyFqxvBCRVZjQ2x9OSk4dWbv3tp9Ck17G8ChvDI7wEh2HrBTLCxFZBQ9nR4yJ4dSRNSvTNuCLfRx1oWvH8kJEVoNTR9btv9tPQ9dswOCI7hgWxVEXunosL0RkNTh1ZL3Kqxuwck8eAOOoC/d1oWvB8kJEVoNTR9brfztz0dhsQEKYJ0ZxXxe6RiwvRGRVOHVkfTR1TVi5u2XUZTxHXejasbwQkVW5nlNHVmfFnjzU6vSIDXDHuF6+ouOQDWB5ISKr4u7siDExxmkHTh1ZvoYmPT76NRcAMH9sD466UJdgeSEiqzO1byAAYCPLi8VbfaAQlTU6BHu6YFq/QNFxyEawvBCR1bm+j3Hq6GR5DbLLqkXHoUvQG2S8v+M0AOD+0ZFwVPIjh7oGf5KIyOp4ODtidHTL1NFhjr5Yqh+OluJMVR08XR0xa3Co6DhkQ1heiMgqcerIssmyjPe2nwIAzB0eAVcnB8GJyJawvBCRVbq+jz8clRJyymuQw6kji5N2qgpHijRwdlTg7uHhouOQjWF5ISKrpHZxxOhoblhnqd5rWety26BQeHdTCU5DtoblhYisFqeOLNOxYi12ZFdAIQHzRkeJjkM2iOWFiKzWxJapo+yyGpws59SRpfiwZV+XqX0DEerlKjgN2SKWFyKyWmoXx9ZzcjYeKRWchgCgoroR6zOKAQD3jYoUnIZsFcsLEVk1Th1ZlhW786DTGw9gTAjrLjoO2SiWFyKyakl9AuColHCitBqnKnjWkUgNTXqs3GM8gPFPIznqQqbD8kJEVk3t6oiRF6aOuGGdUN8dKkZljQ5BamdMiQ8QHYdsGMsLEVm9C1NHvGRaHFmW8cEvxoW6c0dEwIFHAZAJ8aeLiKxeUh9/OCiMU0enOXUkRNrpKpworYaLoxK38ygAMjGWFyKyep6uThjRetURR19E+PCXMwCAGYnB8HR1EhuGbB7LCxHZhGl9jWssNvCSabM7U1mLn0+UAQDu5UJdMgOWFyKyCUl9AqBUSDheokVuZa3oOHbl411nIMvAdb180cO3m+g4ZAdYXojIJnR3c8KIHt4AOHVkTtqGJnydXgAA+BM3pSMzYXkhIpsx7cJVR7xk2mxW7y9ErU6PaL9urbsdE5kaywsR2YykOOPU0bESLc5w6sjkZFnGZ7uNm9LNHR4OSZIEJyJ7YdLy8s9//hMjRoyAq6srPD09O/QcWZbxwgsvICgoCC4uLhg3bhwyMzNNGZOIbITX76aOuOeL6aWdqsLpilq4OSlxc0Kw6DhkR0xaXnQ6HWbOnIkHHnigw8959dVX8eabb2Lp0qXYt28fAgICMHHiRFRX88RYIroynnVkPhdGXaYPDIa7s6PgNGRPTFpeXnzxRTz22GPo27dvhx4vyzKWLFmCZ599Frfccgvi4+PxySefoK6uDqtWrTJlVCKyEZNapo4yi7XIq+LUkamUahqw+Zjx8ui7hoULTkP2xqLWvOTm5qK0tBRJSUmt96lUKowdOxa7du1q9zmNjY3QarVtbkRkv7zcnDA8ilNHpvb53nzoDTKGRHghNsBDdByyMxZVXkpLjZtL+fv7t7nf39+/9Wt/tHjxYqjV6tZbaCi3pSayd5w6Mq0mvQGf780HANw1nKMuZH6dLi8vvPACJEm67C09Pf2aQv1xxbosy5dcxb5o0SJoNJrWW0FBwTW9NhFZv0lx/lAqJBwt0iK/qk50HJuTeqwM5dWN8OnmhMlxPD2azM+hs09YsGABbr/99ss+JiIi4qrCBAQY/ycoLS1FYGBg6/3l5eUXjcZcoFKpoFKprur1iMg2eXdTYViUF349WYUNR0rwwLgeoiPZlBUtC3VvHxwGJweLGsAnO9Hp8uLj4wMfH9NsRBQZGYmAgACkpqYiISEBgPGKpe3bt+OVV14xyWsSkW2a2jcQv56swkaWly51srwau05VQSEBdwwNEx2H7JRJK3N+fj4yMjKQn58PvV6PjIwMZGRkoKbmtyPrY2NjsXbtWgDG6aKFCxfi5Zdfxtq1a3H06FHcc889cHV1xezZs00ZlYhszKS4ACgk4EiRhlNHXWjFbuNalwm9/RHs6SI4DdmrTo+8dMZzzz2HTz75pPXPF0ZTtm7dinHjxgEAsrKyoNFoWh/z17/+FfX19XjwwQdx7tw5DB06FJs3b4a7u7spoxKRjfHppsKwKG/sOlWFjUdLMH8sR1+uVZ2uGav3FwIA5vDyaBJIkmVZFh2iK2m1WqjVamg0Gnh48PI9Inu2Ynce/vbtUfQLUWP9glGi41i9z/fmY9GaI4jwdsWWx8dBoeBxANR1OvP5zZVWRGSzJscbp44OF2pQcJZTR9dClmV8lmZcqHvXsHAWFxKK5YWIbJZPNxWGRho3rOOeL9fmQP55HCvRQuWgwK2JIaLjkJ1jeSEimza1Hzes6woXLo9O7h8ET1cnwWnI3rG8EJFNm9xy1dEhTh1dtaqaRmw4bCx/XKhLloDlhYhsmq+7CkMivQAAm45y9OVqfJVeCJ3egH4havQP9RQdh4jlhYhs37SWs442HGn/jDS6NL1Bxso9vy3UJbIELC9EZPMmxQdAkoBDBedReI5TR52xPbschefqoXZxRHK/INFxiACwvBCRHfBzd8bgCOPU0Q9HOfrSGRcuj56ZGAIXJ6XgNERGLC9EZBd+mzriupeOyq+qw7bsCgDAnZwyIgvC8kJEdmFKy9TRwfzzKD5fLzqOVVi5Nw+yDIyO9kGkj5voOEStWF6IyC74eThjcLhx6oh7vlxZQ5MeX6fzHCOyTCwvRGQ3buhvnDr67lCx4CSWb9PREpyt1SFI7YzxsX6i4xC1wfJCRHZjat9AKBUSDhVqkFtZKzqORbuwUHf20DA4KPlRQZaFP5FEZDd8uqkwsqcPAGB9BkdfLuVokQYH8s/DUSnhtsGhouMQXYTlhYjsyk39jXuVrDtUBFmWBaexTBc2pZscHwg/d2fBaYguxvJCRHYlKc4fKgcFTlfUIrNYKzqOxdHUN+Hbg8ZRKS7UJUvF8kJEdsXd2RHX9/YHAKznwt2LrDlQiPomPXr5u2NwRHfRcYjaxfJCRHYnuWXq6LtDxTAYOHV0gSzL+Gz3hXOMwiBJkuBERO1jeSEiuzOuly/cnR1QomnAvjNnRcexGGmnqnC6ohZuTkrcnBAsOg7RJbG8EJHdcXZUYkp8AABgHaeOWl0YdZk+MBjuzo6C0xBdGssLEdmlmwYYRxY2HimBrtkgOI14JZp6bD5WBgC4iwt1ycKxvBCRXRoW5Q1fdxXO1zVhZ06F6DjCfb63AHqDjCGRXogN8BAdh+iyWF6IyC4pFRJu6Gc8LsDerzrSNRvw+d58AMDc4Rx1IcvH8kJEduvC1NHmzDLU6ZoFpxHnx8xSVFQ3wtddhaQ+AaLjEF0RywsR2a3+IWqEe7uivkmP1Jb1HvbowjlGdwwJg5MDPxbI8vGnlIjsliRJrccFrDlQJDiNGCdKtdh75iyUCgmzh4SJjkPUISwvRGTXbhkYAgDYmVOBMm2D4DTmd2HUJamPPwLUPMeIrAPLCxHZtQgfNwyO6A6DDKw9aF+jL9qGpta/8xwu1CUrwvJCRHZvRsvoyzf7C+3qpOm1B4pQp9Mj2q8bhkd5i45D1GEsL0Rk96b2C4SzowIny2twuFAjOo5Z/P4coznDw3mOEVkVlhcisnsezo6YFGe8RPib/YWC05hH2qkqnCyvgZuTEtN5jhFZGZYXIiIAtyYap47WHypGY7NecBrT4zlGZM1YXoiIAIzo4YMAD2do6pvw8/Fy0XFM6vfnGM0dHiE2DNFVYHkhIoLxuIBbBhqnT1bb+NTRp2l50BtkDI30Qoy/u+g4RJ3G8kJE1GJGy9TRtuwKlFfb5p4v9To9Vu0xnmN036hIwWmIrg7LCxFRix6+3ZAQ5gm9Qca3Nrrny5qDhdDUNyHMyxUTevuLjkN0VVheiIh+Z2ZiKADgi30FNrfni8Eg48NfcgEA94yIgFLBy6PJOrG8EBH9zo0DguDmpMTpilrsyT0rOk6X2nmyEqcqatFN5YCZg0JExyG6aiwvRES/003lgBsHGBfuXlgbYisujLrcNiiUl0eTVWN5ISL6gzuHGk9X/uFoKc7W6gSn6Rony6uxPbsCkmScMiKyZiYtL//85z8xYsQIuLq6wtPTs0PPueeeeyBJUpvbsGHDTBmTiKiN+GA1+garodMb8M3+AtFxusRHv54BAEzs7Y8wb1exYYiukUnLi06nw8yZM/HAAw906nmTJ09GSUlJ623jxo0mSkhE1L7ZLaMvn++1/oW75+t0WH3AuHfNn3h5NNkAB1N+8xdffBEA8PHHH3fqeSqVCgEBASZIRETUMTf2D8I/vj+G3MpapJ2uwogePqIjXbXP0vLQ0GRAn0APDI30Eh2H6JpZ5JqXbdu2wc/PDzExMZg3bx7Ky217q24isjxuKgfc1HJg4UorXrhbr9Pjo11nAAB/GRvF06PJJlhceZkyZQpWrlyJLVu24I033sC+ffswfvx4NDY2tvv4xsZGaLXaNjcioq5w19BwAMaFuyWaesFprs7X+wtwtlaHUC8XTOsbKDoOUZfodHl54YUXLlpQ+8dbenr6VQeaNWsWpk2bhvj4eCQnJ2PTpk3Izs7Ghg0b2n384sWLoVarW2+hoaFX/dpERL/XJ8g4zaI3yPgsLU90nE5r1huwfMdpAMCfR0fBQWlx/14luiqdXvOyYMEC3H777Zd9TERExNXmuUhgYCDCw8ORk5PT7tcXLVqElJSU1j9rtVoWGCLqMveOjMSe3LNYtTcfD4+PhouTUnSkDttwpASF5+rh7eaEmYP4e5FsR6fLi4+PD3x8zLdwraqqCgUFBQgMbH+4U6VSQaVSmS0PEdmXiX38EdLdBYXn6vFtRhHuGBImOlKHyLKMd7edAgDcOzICzo7WU7qIrsSkY4j5+fnIyMhAfn4+9Ho9MjIykJGRgZqamtbHxMbGYu3atQCAmpoaPPHEE0hLS8OZM2ewbds2JCcnw8fHB9OnTzdlVCKidikVUuumbh/9mms1l01vy6rAidJquDkpMWdYhOg4RF3KpOXlueeeQ0JCAp5//nnU1NQgISEBCQkJbdbEZGVlQaPRAACUSiWOHDmCm266CTExMbj77rsRExODtLQ0uLu7mzIqEdElzRwUClcnJbLLavDrySrRca5IlmUs+dk41T57aBjUrjwKgGyLJFvLPyM6SKvVQq1WQ6PRwMPDQ3QcIrIRz687ik/S8jA62gef3TdUdJzL2ppVjns/2gdnRwV2/nU8fN05tU6WrzOf31x6TkTUAfPGRMFBIWFnTiUOFZwXHeeSZFnGktRsAMDc4REsLmSTWF6IiDogpLsrbhwQBABYtu2k4DSXti2rAocKNXBxVOLPY6JExyEyCZYXIqIOenBcD0gS8GNmGXLKqkXHuYgsy1jy04VRl3D4dOOoC9kmlhciog7q6eeOSX2M5669u/2U4DQX+zGztHXUZR5HXciGsbwQEXXCg9f1AACsyyhGXlWt4DS/adIb8MoPWQCAeaMjOepCNo3lhYioE/qFeGJsjC/0BhlvtiyMtQSf781HbmUtvN2c8OexPUTHITIplhciok56clIvAMD6Q8U4XiL+MNjqhib85yfjvi4Lr49GN1WnN08nsiosL0REnRQfrMa0foGQZeD1H7NEx8F/t59GVa0OUT5uuN1Kji8guhYsL0REV+HxiTFQKiT8fKIc+86cFZYjr6oWy3caT47+6+RYOPLkaLID/CknIroKUb7dcFvLSc0vrM+E3mD+zcplWcZz6zKhazZgVE8fTIrzN3sGIhFYXoiIrtLjSTFwd3ZAZrEWX+zLN/vr/5hZiu3ZFXBSKvDSTXGQJMnsGYhEYHkhIrpKPt1UeHxiDADgtR+zcK5WZ7bXrm5owovfHQMA/GVsFKJ8u5nttYlEY3khIroGdw0LR2yAO87XNeFfm06Y7XX//v0xlGgaEObligfH9TTb6xJZApYXIqJr4KBU4KWb4gEAX6YXYGtWuclf86djZfgqvRCSBLw+sz9cnJQmf00iS8LyQkR0jYZEeuFPIyMBAE99cxjn60w3fVRV04in1xwBAPx5dBSGRHqZ7LWILBXLCxFRF/jr5F6I8nVDeXUj/m9dJmS5668+0htkPPLFQVTWNCLGvxsea1lvQ2RvWF6IiLqAs6MSb8zsD6VCwneHivFpWl6Xv8Ybm7Pw68kquDopsXT2QDg7crqI7BPLCxFRF0kI645FU2IBGBfU7jld1WXf++v0AizbZjzJ+pUZ/RDj795l35vI2rC8EBF1oftGRSK5fxCaDTLmfZreJWcfbTlR1rrOZf7YHkjuH3TN35PImrG8EBF1IUmS8OqMfkgM7w5tQzPmfLAXJ8trrvr7/ZhZivmfHYDeIOOWgcF4anKvLkxLZJ1YXoiIupiLkxIf3jMYfQI9UFnTiBnv7sLuTk4hybKMFbvz8MCK/dDpDUjq449XZvTjLrpEYHkhIjIJtYsjPrtvCBLCPKGpb8KcD/bgv9tPdegMJE1dEx7+/CD+9u1RGGRgZmIIlt05kIcuErWQZFNczyeQVquFWq2GRqOBh4eH6DhEZOcamvR4/KtD2HCkBAAQG+CORydEY0Jvfzg5tC0j5+t0+HJfAd7bfgrn6prgoJDweFIvzB8bxREXsnmd+fxmeSEiMjFZlvF1eiH+vuEYqhuaARhHZhLCPBGodkGT3oDcylocKjiP5paRmRj/bvjXjH4YGNZdZHQis2F5YXkhIgt0vk6H93eexlfphaiobmz3MX0CPXDPiAjcMjAYDpwmIjvC8sLyQkQWrFlvwJEiDY4Wa3G2RgelAgjydMHgCC+EermKjkckRGc+vx3MlImIiFo4KBVICOuOBE4JEV0VjkkSERGRVWF5ISIiIqvC8kJERERWheWFiIiIrArLCxEREVkVlhciIiKyKiwvREREZFVYXoiIiMiqsLwQERGRVWF5ISIiIqvC8kJERERWheWFiIiIrArLCxEREVkVmztVWpZlAMajtYmIiMg6XPjcvvA5fjk2V16qq6sBAKGhoYKTEBERUWdVV1dDrVZf9jGS3JGKY0UMBgOKi4vh7u4OSZK69HtrtVqEhoaioKAAHh4eXfq96Td8n82H77V58H02D77P5mGq91mWZVRXVyMoKAgKxeVXtdjcyItCoUBISIhJX8PDw4P/Y5gB32fz4XttHnyfzYPvs3mY4n2+0ojLBVywS0RERFaF5YWIiIisCstLJ6hUKjz//PNQqVSio9g0vs/mw/faPPg+mwffZ/OwhPfZ5hbsEhERkW3jyAsRERFZFZYXIiIisiosL0RERGRVWF6IiIjIqrC8dNCyZcsQGRkJZ2dnJCYmYufOnaIj2ZzFixdj8ODBcHd3h5+fH26++WZkZWWJjmXzFi9eDEmSsHDhQtFRbE5RURHuuusueHt7w9XVFQMGDMD+/ftFx7I5zc3N+Nvf/obIyEi4uLggKioKL730EgwGg+hoVm3Hjh1ITk5GUFAQJEnCt99+2+brsizjhRdeQFBQEFxcXDBu3DhkZmaaJRvLSwd8+eWXWLhwIZ599lkcPHgQo0ePxpQpU5Cfny86mk3Zvn07HnroIezevRupqalobm5GUlISamtrRUezWfv27cPy5cvRr18/0VFszrlz5zBy5Eg4Ojpi06ZNOHbsGN544w14enqKjmZzXnnlFbz33ntYunQpjh8/jldffRWvvfYa3n77bdHRrFptbS369++PpUuXtvv1V199FW+++SaWLl2Kffv2ISAgABMnTmw9Y9CkZLqiIUOGyPPnz29zX2xsrPz0008LSmQfysvLZQDy9u3bRUexSdXV1XJ0dLScmpoqjx07Vn700UdFR7IpTz31lDxq1CjRMezCtGnT5D/96U9t7rvlllvku+66S1Ai2wNAXrt2beufDQaDHBAQIP/rX/9qva+hoUFWq9Xye++9Z/I8HHm5Ap1Oh/379yMpKanN/UlJSdi1a5egVPZBo9EAALy8vAQnsU0PPfQQpk2bhuuvv150FJu0fv16DBo0CDNnzoSfnx8SEhLw/vvvi45lk0aNGoWff/4Z2dnZAIBDhw7hl19+wdSpUwUns125ubkoLS1t89moUqkwduxYs3w22tzBjF2tsrISer0e/v7+be739/dHaWmpoFS2T5ZlpKSkYNSoUYiPjxcdx+Z88cUXOHDgAPbt2yc6is06ffo03n33XaSkpOCZZ57B3r178cgjj0ClUmHu3Lmi49mUp556ChqNBrGxsVAqldDr9fjnP/+JO+64Q3Q0m3Xh86+9z8a8vDyTvz7LSwdJktTmz7IsX3QfdZ0FCxbg8OHD+OWXX0RHsTkFBQV49NFHsXnzZjg7O4uOY7MMBgMGDRqEl19+GQCQkJCAzMxMvPvuuywvXezLL7/EihUrsGrVKsTFxSEjIwMLFy5EUFAQ7r77btHxbJqoz0aWlyvw8fGBUqm8aJSlvLz8osZJXePhhx/G+vXrsWPHDoSEhIiOY3P279+P8vJyJCYmtt6n1+uxY8cOLF26FI2NjVAqlQIT2obAwED06dOnzX29e/fG6tWrBSWyXU8++SSefvpp3H777QCAvn37Ii8vD4sXL2Z5MZGAgAAAxhGYwMDA1vvN9dnINS9X4OTkhMTERKSmpra5PzU1FSNGjBCUyjbJsowFCxZgzZo12LJlCyIjI0VHskkTJkzAkSNHkJGR0XobNGgQ7rzzTmRkZLC4dJGRI0dedKl/dnY2wsPDBSWyXXV1dVAo2n6cKZVKXiptQpGRkQgICGjz2ajT6bB9+3azfDZy5KUDUlJSMGfOHAwaNAjDhw/H8uXLkZ+fj/nz54uOZlMeeughrFq1CuvWrYO7u3vraJdarYaLi4vgdLbD3d39onVEbm5u8Pb25vqiLvTYY49hxIgRePnll3Hbbbdh7969WL58OZYvXy46ms1JTk7GP//5T4SFhSEuLg4HDx7Em2++iT/96U+io1m1mpoanDx5svXPubm5yMjIgJeXF8LCwrBw4UK8/PLLiI6ORnR0NF5++WW4urpi9uzZpg9n8uuZbMQ777wjh4eHy05OTvLAgQN5+a4JAGj39tFHH4mOZvN4qbRpfPfdd3J8fLysUqnk2NhYefny5aIj2SStVis/+uijclhYmOzs7CxHRUXJzz77rNzY2Cg6mlXbunVru7+T7777blmWjZdLP//883JAQICsUqnkMWPGyEeOHDFLNkmWZdn0FYmIiIioa3DNCxEREVkVlhciIiKyKiwvREREZFVYXoiIiMiqsLwQERGRVWF5ISIiIqvC8kJERERWheWFiIiIrArLCxEREVkVlhciIiKyKiwvREREZFVYXoiIiMiq/D9xl8LC0gZOLQAAAABJRU5ErkJggg==\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,2], result_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0., \"g\": 0., \"w\": 1.}\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:46:24.188460</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"me598cfae47\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#me598cfae47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#me598cfae47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#me598cfae47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#me598cfae47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#me598cfae47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#me598cfae47\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m39af6d7b4a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m39af6d7b4a\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m39af6d7b4a\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m39af6d7b4a\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m39af6d7b4a\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m39af6d7b4a\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pe0ef391ca4)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe0ef391ca4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(1000)\n",
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(1.5345e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1958, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.4740, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.0340, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8324, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.2078, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(1.6405e-09, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.3523, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.1234, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2738, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.1512, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.7224, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(6.2219e-07, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0425, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.6194, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2392, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.0152, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.6459, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(7.5991e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.4149, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.3046, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.1818, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.5973, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.3731, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(6.2194e-07, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0007, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.7119, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3436, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.0089, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.8776, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(4.3112e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.4914, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.3646, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1118, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(-0.5849, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.8166, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(8.0236e-08, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.2452, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.6347, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.0824, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(-0.2328, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.1488, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(6.6415e-07, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.4988, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.4766, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.0458, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(-0.1356, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.0817, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(3.4479e-07, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.3148, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.6386, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1946, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(-0.2991, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.2047, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(2.0038e-07, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.5308, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5294, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.0315, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(-0.0015, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.1920, requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.1},\n",
-    "    max_epochs=10\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'a': Parameter containing:\n",
-       " tensor(-0.5308, requires_grad=True),\n",
-       " 'b': Parameter containing:\n",
-       " tensor(0.5294, requires_grad=True),\n",
-       " 'd': Parameter containing:\n",
-       " tensor(-0.0315, requires_grad=True),\n",
-       " 'g': Parameter containing:\n",
-       " tensor(-0.0015, requires_grad=True),\n",
-       " 'w': Parameter containing:\n",
-       " tensor(0.1920, requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 10
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs\n",
-    "\n",
-    "# Awful results"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt = 10000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 0.0000e+00, -1.4574e-05,  1.0000e-02],\n",
-       "        [-1.4574e-07, -2.9153e-05,  2.0000e-02],\n",
-       "        ...,\n",
-       "        [-6.5856e+00,  2.5939e+01,  9.9973e+01],\n",
-       "        [-6.3262e+00,  2.7424e+01,  9.9983e+01],\n",
-       "        [-6.0520e+00,  2.8740e+01,  9.9993e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 11
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(10000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 393.262187 297.190125\" width=\"393.262187pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:51:52.676469</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 393.262187 297.190125 \nL 393.262187 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 28.942188 273.312 \nL 386.062188 273.312 \nL 386.062188 7.2 \nL 28.942188 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"maa761323e7\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"45.174915\" xlink:href=\"#maa761323e7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(41.993665 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"110.110402\" xlink:href=\"#maa761323e7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 20 -->\n      <g transform=\"translate(103.747902 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"175.045888\" xlink:href=\"#maa761323e7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 40 -->\n      <g transform=\"translate(168.683388 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"239.981375\" xlink:href=\"#maa761323e7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 60 -->\n      <g transform=\"translate(233.618875 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"304.916862\" xlink:href=\"#maa761323e7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 80 -->\n      <g transform=\"translate(298.554362 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.852349\" xlink:href=\"#maa761323e7\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 100 -->\n      <g transform=\"translate(360.308599 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"me094d06755\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"260.799398\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −8 -->\n      <g transform=\"translate(7.2 264.598617)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"229.705457\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −6 -->\n      <g transform=\"translate(7.2 233.504676)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"198.611516\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −4 -->\n      <g transform=\"translate(7.2 202.410735)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"167.517575\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −2 -->\n      <g transform=\"translate(7.2 171.316794)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"136.423634\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0 -->\n      <g transform=\"translate(15.579688 140.222853)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"105.329694\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 2 -->\n      <g transform=\"translate(15.579688 109.128912)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"74.235753\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 4 -->\n      <g transform=\"translate(15.579688 78.034971)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"43.141812\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 6 -->\n      <g transform=\"translate(15.579688 46.941031)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#me094d06755\" y=\"12.047871\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 8 -->\n      <g transform=\"translate(15.579688 15.84709)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p154877efcd)\" d=\"M 45.174915 136.423634 \nL 53.876263 136.534569 \nL 58.356812 136.79377 \nL 61.246508 137.17015 \nL 63.421896 137.669034 \nL 65.175194 138.293742 \nL 66.668745 139.059256 \nL 67.999953 139.993129 \nL 69.201287 141.104542 \nL 70.370152 142.495433 \nL 71.506548 144.20151 \nL 72.675413 146.370093 \nL 73.974153 149.274326 \nL 77.578155 157.69655 \nL 78.227524 158.496618 \nL 78.74702 158.805813 \nL 79.169111 158.820777 \nL 79.591201 158.620788 \nL 80.078228 158.133272 \nL 80.695129 157.162427 \nL 81.506842 155.414476 \nL 82.838049 151.920569 \nL 85.110844 146.010668 \nL 86.539457 142.935305 \nL 88.000539 140.309706 \nL 89.851243 137.467275 \nL 93.000686 132.681069 \nL 94.396831 130.083596 \nL 95.69557 127.175668 \nL 97.059247 123.547147 \nL 100.306095 114.594219 \nL 100.955465 113.564279 \nL 101.442492 113.14573 \nL 101.864583 113.056497 \nL 102.254204 113.206241 \nL 102.708763 113.65567 \nL 103.260727 114.565276 \nL 103.975034 116.226652 \nL 105.046494 119.364814 \nL 108.163469 128.781966 \nL 109.786893 132.806009 \nL 114.78704 144.64736 \nL 116.248122 149.146678 \nL 119.30016 158.848023 \nL 119.94953 160.0779 \nL 120.436557 160.586201 \nL 120.826179 160.704952 \nL 121.183332 160.580997 \nL 121.572954 160.195878 \nL 122.059981 159.372777 \nL 122.709351 157.774603 \nL 123.618469 154.871614 \nL 128.001714 140.029211 \nL 132.125212 127.548063 \nL 133.748636 121.522479 \nL 135.761682 114.105122 \nL 136.475989 112.26665 \nL 136.995485 111.448178 \nL 137.385107 111.175996 \nL 137.709792 111.187628 \nL 138.066945 111.45238 \nL 138.489035 112.091909 \nL 139.041 113.404753 \nL 139.787775 115.846976 \nL 141.054046 120.90766 \nL 143.521651 130.734977 \nL 148.456861 149.384604 \nL 151.0215 160.10628 \nL 151.670745 161.845022 \nL 152.15768 162.587137 \nL 152.514765 162.777287 \nL 152.806926 162.699422 \nL 153.131549 162.367766 \nL 153.553558 161.57025 \nL 154.105417 159.979068 \nL 154.884513 156.947605 \nL 156.41024 149.861091 \nL 158.617676 139.938291 \nL 161.993755 125.08167 \nL 164.915361 111.444431 \nL 165.532145 109.763749 \nL 165.954155 109.156962 \nL 166.278778 109.028769 \nL 166.570938 109.173374 \nL 166.895561 109.618588 \nL 167.317571 110.616622 \nL 167.901892 112.665284 \nL 168.745912 116.569133 \nL 175.140984 149.527924 \nL 177.413344 161.579534 \nL 178.06259 163.826103 \nL 178.517062 164.712192 \nL 178.841685 164.939984 \nL 179.101384 164.866987 \nL 179.393544 164.514446 \nL 179.783092 163.619952 \nL 180.302489 161.76351 \nL 181.049121 158.112412 \nL 182.509925 149.539239 \nL 185.301682 133.479486 \nL 187.379269 121.001249 \nL 189.132232 110.665497 \nL 189.781478 108.063707 \nL 190.23595 107.023812 \nL 190.560573 106.749295 \nL 190.787809 106.802164 \nL 191.047508 107.109969 \nL 191.404593 107.947348 \nL 191.891527 109.779797 \nL 192.573236 113.367239 \nL 193.806803 121.339222 \nL 200.072025 162.697645 \nL 200.721271 165.694442 \nL 201.175743 166.913728 \nL 201.500366 167.248881 \nL 201.727602 167.201256 \nL 201.987301 166.861383 \nL 202.311924 166.024546 \nL 202.766396 164.162972 \nL 203.415642 160.42501 \nL 204.584284 152.085205 \nL 210.589809 108.12159 \nL 211.17413 105.481616 \nL 211.563677 104.545084 \nL 211.823376 104.343348 \nL 212.01815 104.423116 \nL 212.277848 104.836304 \nL 212.634933 105.950584 \nL 213.121868 108.361107 \nL 213.836038 113.2349 \nL 215.42669 126.171999 \nL 220.458346 166.60937 \nL 220.977743 168.894268 \nL 221.334828 169.646111 \nL 221.562064 169.736328 \nL 221.756838 169.567121 \nL 222.016536 168.992892 \nL 222.373621 167.592491 \nL 222.893018 164.488438 \nL 223.672113 158.264559 \nL 226.983267 128.370643 \nL 229.612713 105.245404 \nL 230.13211 102.701742 \nL 230.489195 101.888276 \nL 230.716431 101.815736 \nL 230.911205 102.035784 \nL 231.170903 102.726432 \nL 231.527988 104.36567 \nL 232.047385 107.9311 \nL 232.891404 115.574823 \nL 236.981654 156.796852 \nL 238.150296 167.688528 \nL 238.702155 171.049225 \nL 239.05924 172.174738 \nL 239.286476 172.391898 \nL 239.448788 172.299601 \nL 239.676024 171.825464 \nL 240.000647 170.482091 \nL 240.455119 167.456124 \nL 241.136827 161.159563 \nL 242.922253 141.660385 \nL 246.622955 102.293776 \nL 247.077427 99.853613 \nL 247.40205 99.120771 \nL 247.564361 99.101166 \nL 247.726673 99.316803 \nL 247.986371 100.141215 \nL 248.343456 102.166919 \nL 248.862853 106.606831 \nL 249.739335 116.401111 \nL 254.511874 172.297188 \nL 254.934045 174.582227 \nL 255.226317 175.197875 \nL 255.388691 175.169496 \nL 255.583539 174.782833 \nL 255.843336 173.687815 \nL 256.233032 170.928461 \nL 256.817576 164.893052 \nL 257.986665 149.850923 \nL 261.786202 100.691405 \nL 262.273323 97.221317 \nL 262.598069 96.22401 \nL 262.760443 96.17046 \nL 262.922816 96.420543 \nL 263.150139 97.271216 \nL 263.50736 99.697962 \nL 264.026955 105.125129 \nL 264.936246 117.495436 \nL 268.963107 174.218427 \nL 269.417752 177.432054 \nL 269.710024 178.22484 \nL 269.839923 178.224228 \nL 270.002296 177.913456 \nL 270.229619 176.912925 \nL 270.58684 174.121645 \nL 271.106435 167.988806 \nL 272.11315 152.752723 \nL 275.685365 97.711137 \nL 276.140011 94.006493 \nL 276.432283 93.042472 \nL 276.562181 93.01204 \nL 276.69208 93.231487 \nL 276.919403 94.206231 \nL 277.24415 96.807402 \nL 277.73127 102.835197 \nL 278.608086 117.061992 \nL 282.212776 177.320016 \nL 282.634946 180.741462 \nL 282.894744 181.511759 \nL 283.024643 181.477925 \nL 283.187016 181.038515 \nL 283.446813 179.448562 \nL 283.83651 175.259754 \nL 284.421054 166.141147 \nL 286.077262 135.182648 \nL 288.318015 94.75885 \nL 288.772661 90.479962 \nL 289.032458 89.591862 \nL 289.162357 89.621308 \nL 289.32473 90.107611 \nL 289.584528 91.887498 \nL 289.974224 96.576298 \nL 290.591243 107.327006 \nL 292.637148 149.310979 \nL 294.163458 178.942013 \nL 294.618103 183.92135 \nL 294.877901 185.044387 \nL 294.975325 185.099969 \nL 295.007799 185.073181 \nL 295.137698 184.739642 \nL 295.365021 183.30485 \nL 295.689768 179.552353 \nL 296.209362 170.464013 \nL 297.410926 144.100258 \nL 299.879001 91.105187 \nL 300.301172 86.634864 \nL 300.528495 85.835117 \nL 300.625919 85.872651 \nL 300.755817 86.281532 \nL 300.98314 87.955964 \nL 301.340362 92.778293 \nL 301.892431 103.89707 \nL 303.54864 144.086394 \nL 305.237323 183.024858 \nL 305.659494 188.08364 \nL 305.886817 189.006876 \nL 305.984241 188.972686 \nL 306.11414 188.520844 \nL 306.341462 186.64638 \nL 306.698684 181.245712 \nL 307.283228 168.086433 \nL 309.361607 112.706999 \nL 310.368323 88.377945 \nL 310.790493 82.732435 \nL 311.017816 81.720569 \nL 311.11524 81.774167 \nL 311.245139 82.30594 \nL 311.472462 84.459558 \nL 311.829683 90.579231 \nL 312.414227 105.237364 \nL 315.596746 191.207562 \nL 315.889018 193.290293 \nL 315.953967 193.355809 \nL 315.986442 193.332579 \nL 316.116341 192.866337 \nL 316.311189 191.07398 \nL 316.635936 185.489823 \nL 317.155531 171.893108 \nL 318.876689 117.550106 \nL 320.013302 84.325987 \nL 320.402998 78.211952 \nL 320.630321 77.141424 \nL 320.695271 77.212782 \nL 320.825169 77.863568 \nL 321.052492 80.571214 \nL 321.409713 88.260198 \nL 322.059207 108.479482 \nL 324.657181 193.649979 \nL 324.981928 197.786286 \nL 325.111827 198.181437 \nL 325.144302 198.160261 \nL 325.241726 197.807054 \nL 325.436574 195.823958 \nL 325.728846 189.978273 \nL 326.215966 174.921548 \nL 327.872175 112.552884 \nL 328.846415 79.248097 \nL 329.203637 72.953728 \nL 329.398485 72.034314 \nL 329.495909 72.311078 \nL 329.658282 73.859168 \nL 329.918079 78.940101 \nL 330.34025 92.303978 \nL 331.476864 138.450749 \nL 333.003174 197.283748 \nL 333.327921 202.931415 \nL 333.490294 203.603178 \nL 333.587718 203.256862 \nL 333.750092 201.442128 \nL 334.009889 195.602717 \nL 334.464535 179.180049 \nL 335.925895 113.415971 \nL 336.900135 73.563263 \nL 337.224882 67.071832 \nL 337.387256 66.263137 \nL 337.452205 66.438893 \nL 337.582104 67.647451 \nL 337.809426 72.352852 \nL 338.199123 86.394415 \nL 339.140888 131.889305 \nL 340.667198 202.890893 \nL 340.991945 209.310652 \nL 341.089369 209.764996 \nL 341.121844 209.752771 \nL 341.219268 209.221314 \nL 341.381641 206.721198 \nL 341.673913 197.741268 \nL 342.193508 172.970823 \nL 344.369312 63.015924 \nL 344.629109 59.679505 \nL 344.694058 59.764633 \nL 344.823957 61.069624 \nL 345.05128 66.785135 \nL 345.440976 84.291608 \nL 346.545115 149.638677 \nL 347.649254 210.006419 \nL 347.941526 216.506532 \nL 348.03895 216.843403 \nL 348.071425 216.737243 \nL 348.201324 215.22212 \nL 348.428647 208.634345 \nL 348.818343 188.735024 \nL 350.084855 105.430749 \nL 350.896722 58.557877 \nL 351.188994 52.161011 \nL 351.253944 52.05133 \nL 351.286418 52.186883 \nL 351.416317 53.991587 \nL 351.64364 61.668929 \nL 352.033336 84.38962 \nL 354.176665 224.273619 \nL 354.274089 225.101345 \nL 354.306564 225.084776 \nL 354.403988 224.147725 \nL 354.566361 219.719102 \nL 354.858633 204.237281 \nL 355.540601 151.434155 \nL 356.904538 49.029127 \nL 357.164335 43.088421 \nL 357.19681 43.085908 \nL 357.294234 44.116522 \nL 357.456607 49.183896 \nL 357.74888 66.943373 \nL 358.495797 132.224754 \nL 359.664886 228.807498 \nL 359.892208 234.802144 \nL 359.924683 234.888413 \nL 359.957158 234.771378 \nL 360.054582 233.200774 \nL 360.24943 224.879255 \nL 360.606651 196.581494 \nL 362.425233 33.235936 \nL 362.522657 32.363612 \nL 362.555132 32.55126 \nL 362.685031 35.694559 \nL 362.912354 49.505422 \nL 363.366999 95.566481 \nL 364.76341 241.72106 \nL 364.958258 246.683891 \nL 365.023208 246.108235 \nL 365.153106 241.557773 \nL 365.380429 224.124559 \nL 365.932499 157.798715 \nL 367.069112 24.931572 \nL 367.263961 19.296 \nL 367.32891 20.094806 \nL 367.458809 25.758771 \nL 367.718606 50.589605 \nL 368.465524 156.49687 \nL 369.244916 255.533968 \nL 369.407289 261.216 \nL 369.439764 261.148005 \nL 369.537188 258.436044 \nL 369.732036 242.584599 \nL 369.82946 230.513248 \nL 369.82946 230.513248 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 28.942188 273.312 \nL 28.942188 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 386.062188 273.312 \nL 386.062188 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 28.942188 273.312 \nL 386.062188 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 28.942188 7.2 \nL 386.062188 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p154877efcd\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"28.942188\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot\n",
-    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import scipy.io\n",
-    "\n",
-    "scipy.io.savemat(\"Duffing_fitRandomSample.mat\", {\"x\": results_test_np})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
deleted file mode 100644
index 54e4a9e1..00000000
--- a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
+++ /dev/null
@@ -1,467 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "import numpy as np\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Duffing equation: Second order ODE system\n",
-    "dt = 0.01\n",
-    "\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x_\"]\n",
-    "\n",
-    "def x_prime_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"g\"]*torch.cos(coeffs[\"w\"]*prev_val[\"t\"]) - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n",
-    "\n",
-    "def t_prime(prev_val, coeffs):\n",
-    "    return 1\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"t\": t_prime}\n",
-    "\n",
-    "# Initial conditions [0,0,0]\n",
-    "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2, \"g\": 0.8, \"w\": 0.5}\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
-       "        [3.9973e-05, 7.9920e-03, 1.0000e-02],\n",
-       "        [1.5979e-04, 1.5968e-02, 2.0000e-02],\n",
-       "        ...,\n",
-       "        [1.3451e-01, 1.5991e-01, 9.9701e+00],\n",
-       "        [1.3612e-01, 1.6162e-01, 9.9801e+00],\n",
-       "        [1.3774e-01, 1.6335e-01, 9.9901e+00]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:55:08.268586</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m1eb5974cbe\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.71554\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(51.53429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"119.710578\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(116.529328 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"184.705615\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(181.524365 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.700653\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(246.519403 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"314.695691\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(311.514441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"379.690729\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(373.328229 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m779729fcc1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"238.995879\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −1.5 -->\n      <g transform=\"translate(7.2 242.795098)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"201.621172\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −1.0 -->\n      <g transform=\"translate(7.2 205.420391)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"164.246466\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.5 -->\n      <g transform=\"translate(7.2 168.045684)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"126.871759\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 130.670978)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"89.497052\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.5 -->\n      <g transform=\"translate(15.579688 93.296271)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"52.122346\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(15.579688 55.921564)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"14.747639\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.5 -->\n      <g transform=\"translate(15.579688 18.546858)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p62fbd3b702)\" d=\"M 54.71554 126.871759 \nL 56.665391 126.76456 \nL 58.615241 126.444806 \nL 60.565093 125.915435 \nL 62.514946 125.179617 \nL 64.78977 124.064788 \nL 67.064594 122.67939 \nL 69.339418 121.02963 \nL 71.614243 119.122141 \nL 74.214042 116.635668 \nL 76.813841 113.833155 \nL 79.738615 110.31784 \nL 82.663389 106.4371 \nL 85.913138 101.722343 \nL 89.162889 96.615297 \nL 92.737612 90.589649 \nL 96.962286 82.996967 \nL 101.836909 73.751639 \nL 117.760678 43.109617 \nL 121.010431 37.538017 \nL 123.935205 32.965223 \nL 126.535004 29.333438 \nL 128.809828 26.543984 \nL 130.759677 24.474365 \nL 132.709526 22.726213 \nL 134.334401 21.529953 \nL 135.959275 20.581458 \nL 137.584149 19.889078 \nL 139.209024 19.459255 \nL 140.833898 19.296321 \nL 142.458773 19.40252 \nL 144.083647 19.777942 \nL 145.708521 20.420564 \nL 147.333396 21.32634 \nL 148.95827 22.489319 \nL 150.583145 23.901791 \nL 152.532994 25.912955 \nL 154.482843 28.251494 \nL 156.757667 31.365917 \nL 159.032492 34.862382 \nL 161.632291 39.278845 \nL 164.557064 44.717415 \nL 167.806813 51.25518 \nL 171.381537 58.938881 \nL 175.60621 68.541685 \nL 180.805808 80.946657 \nL 186.655403 95.488261 \nL 193.155055 112.261767 \nL 199.329725 128.80749 \nL 205.179412 145.09336 \nL 211.354082 162.966477 \nL 218.5037 184.407643 \nL 229.228127 216.648921 \nL 233.127918 227.623056 \nL 236.052762 235.267474 \nL 238.652623 241.489867 \nL 240.927501 246.392469 \nL 242.877397 250.128359 \nL 244.827293 253.383751 \nL 246.452206 255.698631 \nL 248.077119 257.628814 \nL 249.37705 258.883966 \nL 250.67698 259.874413 \nL 251.976911 260.594951 \nL 253.276841 261.042364 \nL 254.576772 261.215501 \nL 255.876702 261.115352 \nL 257.176633 260.744965 \nL 258.476563 260.109481 \nL 259.776494 259.215983 \nL 261.076424 258.073393 \nL 262.701338 256.311153 \nL 264.326251 254.200276 \nL 266.276146 251.245108 \nL 268.226042 247.877574 \nL 270.500921 243.499579 \nL 273.100782 238.011286 \nL 276.350608 230.612994 \nL 281.225347 218.878026 \nL 289.999878 197.693401 \nL 294.224652 188.11144 \nL 297.799461 180.506791 \nL 301.37427 173.427431 \nL 304.624096 167.474483 \nL 307.873923 161.990537 \nL 311.123749 156.973161 \nL 314.048593 152.847739 \nL 316.973421 149.07957 \nL 319.898264 145.653558 \nL 322.823108 142.552366 \nL 325.747952 139.757007 \nL 328.672795 137.247279 \nL 331.922622 134.768035 \nL 335.172448 132.585593 \nL 338.422274 130.669524 \nL 341.997083 128.832719 \nL 345.571892 127.239633 \nL 349.796666 125.614561 \nL 354.671406 124.001907 \nL 361.171058 122.118096 \nL 373.520398 118.585508 \nL 378.395137 116.936205 \nL 379.370085 116.57568 \nL 379.370085 116.57568 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482813 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p62fbd3b702\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,2], result_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Euler's method for training"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0., \"g\": 0., \"w\": 1.}\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:55:09.891956</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m3f82b5a707\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf64d9a577a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p9d75420db5)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9d75420db5\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(1000)\n",
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch: 0\t Loss: tensor(8.9032e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0939, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.2094, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.2346, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.6090, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.2538, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(4.9188e-08, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0489, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.3273, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.1743, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.5939, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.1477, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(4.3954e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.2185, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.3450, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.3001, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.4604, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.2030, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(3.3049e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.3561, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.3772, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.0100, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.5225, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.2189, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(7.9197e-07, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.3269, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.4776, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.2438, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.5106, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.1436, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(3.3845e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.5730, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.2565, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.1418, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.3832, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.2320, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(1.0648e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.1834, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5642, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.1710, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8034, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.1777, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(3.9116e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.6395, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.3052, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.4333, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.3324, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.2096, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(8.1171e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.3244, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.5010, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.0407, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.6752, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.2112, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(8.6279e-08, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.5913, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.2579, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.1300, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.4061, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.1630, requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.1},\n",
-    "    max_epochs=10\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'a': Parameter containing:\n",
-       " tensor(-0.5913, requires_grad=True),\n",
-       " 'b': Parameter containing:\n",
-       " tensor(0.2579, requires_grad=True),\n",
-       " 'd': Parameter containing:\n",
-       " tensor(-0.1300, requires_grad=True),\n",
-       " 'g': Parameter containing:\n",
-       " tensor(0.4061, requires_grad=True),\n",
-       " 'w': Parameter containing:\n",
-       " tensor(1.1630, requires_grad=True)}"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs\n",
-    "\n",
-    "# Awful results"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Predictions for nt = 10000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 2.0315e-05,  4.0638e-03,  1.0000e-02],\n",
-       "        [ 8.1293e-05,  8.1327e-03,  2.0000e-02],\n",
-       "        ...,\n",
-       "        [-2.5672e+00, -2.0745e+03,  9.9973e+01],\n",
-       "        [-2.3307e+01, -2.0681e+03,  9.9983e+01],\n",
-       "        [-4.3622e+01, -1.9648e+03,  9.9993e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(10000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 399.624687 297.190125\" width=\"399.624687pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T19:00:20.434921</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 399.624687 297.190125 \nL 399.624687 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 35.304688 273.312 \nL 392.424688 273.312 \nL 392.424688 7.2 \nL 35.304688 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"macdbf88d51\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.537415\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(48.356165 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"116.472902\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 20 -->\n      <g transform=\"translate(110.110402 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"181.408388\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 40 -->\n      <g transform=\"translate(175.045888 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"246.343875\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 60 -->\n      <g transform=\"translate(239.981375 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"311.279362\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 80 -->\n      <g transform=\"translate(304.916862 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"376.214849\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 100 -->\n      <g transform=\"translate(366.671099 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m7d1ed529b0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"269.185453\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −80 -->\n      <g transform=\"translate(7.2 272.984672)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"237.11892\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −60 -->\n      <g transform=\"translate(7.2 240.918139)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"205.052387\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −40 -->\n      <g transform=\"translate(7.2 208.851606)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"172.985854\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −20 -->\n      <g transform=\"translate(7.2 176.785073)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"140.919321\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0 -->\n      <g transform=\"translate(21.942187 144.71854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"108.852788\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(15.579687 112.652007)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"76.786255\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 40 -->\n      <g transform=\"translate(15.579687 80.585474)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"44.719722\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 60 -->\n      <g transform=\"translate(15.579687 48.518941)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"12.653189\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 80 -->\n      <g transform=\"translate(15.579687 16.452408)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pe2998799f4)\" d=\"M 51.537415 140.919321 \nL 53.420543 140.80929 \nL 55.433541 140.464812 \nL 57.933555 139.797424 \nL 64.199824 138.009609 \nL 65.888178 137.850188 \nL 67.738881 137.912265 \nL 75.49885 138.670245 \nL 78.193733 139.101129 \nL 84.46015 140.2447 \nL 86.083575 140.222039 \nL 87.544657 139.979079 \nL 88.97327 139.510792 \nL 90.531757 138.754366 \nL 93.324047 137.343324 \nL 94.200696 137.191381 \nL 95.012409 137.277541 \nL 95.889058 137.606621 \nL 97.025455 138.294444 \nL 99.557997 140.177094 \nL 103.551621 143.326046 \nL 105.239982 144.583784 \nL 106.084162 144.952018 \nL 106.798469 145.028754 \nL 107.512776 144.870858 \nL 108.324488 144.448816 \nL 109.590759 143.498413 \nL 112.318112 141.430552 \nL 115.987051 139.106863 \nL 119.42871 136.934977 \nL 120.240423 136.747572 \nL 120.987198 136.802814 \nL 121.79891 137.098716 \nL 122.87037 137.749067 \nL 129.656284 142.565476 \nL 131.279708 144.19379 \nL 132.545979 145.367191 \nL 133.227817 145.710943 \nL 133.779781 145.747056 \nL 134.331746 145.548326 \nL 134.981115 145.050217 \nL 135.890233 144.034623 \nL 137.870811 141.393181 \nL 139.559172 138.846892 \nL 141.669624 135.567496 \nL 142.189119 135.204653 \nL 142.578741 135.175761 \nL 142.968363 135.367041 \nL 143.45539 135.883828 \nL 144.137229 136.976214 \nL 145.565842 139.798368 \nL 147.481483 143.979707 \nL 148.780222 146.745715 \nL 149.26725 147.327608 \nL 149.624403 147.45438 \nL 149.949088 147.324644 \nL 150.33871 146.878817 \nL 150.858205 145.900345 \nL 151.83226 143.485906 \nL 154.429739 136.351443 \nL 155.241451 134.435252 \nL 155.663498 133.912993 \nL 155.955659 133.8345 \nL 156.247819 134.004083 \nL 156.604905 134.522599 \nL 157.124301 135.737317 \nL 158.228019 139.067785 \nL 161.149626 147.86265 \nL 161.539173 148.302252 \nL 161.798872 148.31674 \nL 162.05857 148.101155 \nL 162.415655 147.466757 \nL 162.967514 145.936227 \nL 164.33093 141.229907 \nL 166.538366 133.820245 \nL 166.927914 133.258556 \nL 167.187612 133.201242 \nL 167.447311 133.411683 \nL 167.771934 134.01906 \nL 168.29133 135.575638 \nL 169.427511 139.936852 \nL 171.732333 148.691181 \nL 172.056956 149.142505 \nL 172.284192 149.160979 \nL 172.511428 148.926842 \nL 172.836051 148.196354 \nL 173.355448 146.336161 \nL 174.589015 140.76809 \nL 176.439366 132.555968 \nL 176.763989 132.008772 \nL 176.958763 131.983939 \nL 177.153536 132.19541 \nL 177.445697 132.91814 \nL 177.900169 134.755739 \nL 179.003887 140.493962 \nL 180.821776 149.742683 \nL 181.146399 150.365791 \nL 181.341172 150.375171 \nL 181.535946 150.102431 \nL 181.828107 149.219186 \nL 182.315041 146.874507 \nL 183.775844 138.184347 \nL 184.879562 132.060124 \nL 185.236648 131.142024 \nL 185.431421 131.071223 \nL 185.593733 131.259893 \nL 185.853431 131.996066 \nL 186.275441 134.049242 \nL 187.281772 140.491664 \nL 188.904887 150.578525 \nL 189.197047 151.2553 \nL 189.359359 151.275634 \nL 189.52167 151.032716 \nL 189.781369 150.144463 \nL 190.203379 147.753779 \nL 191.339559 139.516245 \nL 192.605588 130.765316 \nL 192.897749 129.968277 \nL 193.06006 129.946296 \nL 193.222372 130.236521 \nL 193.48207 131.285618 \nL 193.936542 134.299243 \nL 195.46227 146.811739 \nL 196.143978 151.537405 \nL 196.436139 152.349843 \nL 196.565988 152.352522 \nL 196.7283 152.035944 \nL 196.987998 150.86678 \nL 197.44247 147.520679 \nL 199.714831 129.168723 \nL 199.877142 129.010634 \nL 199.909604 129.027653 \nL 200.039454 129.256767 \nL 200.26669 130.231472 \nL 200.656237 133.13547 \nL 201.792417 144.116517 \nL 202.733824 152.482203 \nL 202.993522 153.378313 \nL 203.123372 153.395272 \nL 203.285683 152.999049 \nL 203.545381 151.514897 \nL 204.032316 147.022612 \nL 205.947591 128.25149 \nL 206.142365 127.916434 \nL 206.272214 128.113595 \nL 206.466988 129.006741 \nL 206.824073 132.038347 \nL 207.830404 143.494197 \nL 208.771811 153.372206 \nL 209.031509 154.351367 \nL 209.128896 154.343793 \nL 209.258745 154.006148 \nL 209.485981 152.605263 \nL 209.907991 148.225915 \nL 211.790804 127.061333 \nL 211.920653 126.892647 \nL 211.953115 126.917193 \nL 212.082965 127.279058 \nL 212.310201 128.825362 \nL 212.73221 133.646171 \nL 214.485174 155.155337 \nL 214.647486 155.441661 \nL 214.744873 155.258082 \nL 214.939646 154.138053 \nL 215.296732 150.193324 \nL 217.212007 125.954075 \nL 217.276932 125.931095 \nL 217.309394 125.969039 \nL 217.439243 126.44302 \nL 217.666479 128.364491 \nL 218.153414 135.094031 \nL 219.614217 155.945979 \nL 219.808991 156.473688 \nL 219.906377 156.247325 \nL 220.101151 154.876695 \nL 220.458236 150.158414 \nL 222.178738 124.948582 \nL 222.243663 124.877389 \nL 222.276125 124.90238 \nL 222.405974 125.399513 \nL 222.63321 127.611222 \nL 223.120144 135.415246 \nL 224.418636 156.694578 \nL 224.61341 157.455887 \nL 224.710797 157.24793 \nL 224.873108 156.06601 \nL 225.197731 151.429372 \nL 226.885771 123.84253 \nL 226.950695 123.874665 \nL 227.080544 124.514247 \nL 227.30778 127.207569 \nL 227.859639 137.584105 \nL 228.963357 157.753994 \nL 229.125669 158.474176 \nL 229.158131 158.461737 \nL 229.255518 158.108009 \nL 229.450292 156.110883 \nL 229.839839 148.9771 \nL 231.170793 123.267141 \nL 231.300643 122.838075 \nL 231.333105 122.874872 \nL 231.462954 123.590087 \nL 231.69019 126.693759 \nL 232.274511 139.214649 \nL 233.24838 158.880432 \nL 233.410692 159.517224 \nL 233.508078 159.148845 \nL 233.702852 156.878624 \nL 234.0924 148.743206 \nL 235.325967 122.242133 \nL 235.455816 121.849173 \nL 235.488278 121.921107 \nL 235.618128 122.869483 \nL 235.877826 127.294549 \nL 236.689383 147.43376 \nL 237.273705 159.750995 \nL 237.436016 160.537887 \nL 237.533403 160.129739 \nL 237.728177 157.524173 \nL 238.150186 147.446972 \nL 239.221442 121.520335 \nL 239.351291 120.809293 \nL 239.383754 120.829039 \nL 239.481141 121.363952 \nL 239.675914 124.312477 \nL 240.130386 136.012239 \nL 241.104255 160.737803 \nL 241.234104 161.53326 \nL 241.266567 161.519662 \nL 241.363954 160.965624 \nL 241.558727 157.836512 \nL 242.045662 144.508904 \nL 242.954606 120.497746 \nL 243.084455 119.771672 \nL 243.116917 119.820506 \nL 243.214304 120.516412 \nL 243.409078 124.024175 \nL 243.928475 139.220535 \nL 244.772494 162.027243 \nL 244.869881 162.544576 \nL 244.902344 162.518865 \nL 244.99973 161.850394 \nL 245.194504 158.225463 \nL 245.713901 142.288333 \nL 246.525458 119.304062 \nL 246.622845 118.760498 \nL 246.655307 118.792378 \nL 246.752694 119.52276 \nL 246.947468 123.417044 \nL 247.499327 141.337979 \nL 248.213498 162.712018 \nL 248.343347 163.575983 \nL 248.375809 163.508296 \nL 248.473196 162.631396 \nL 248.700432 157.397555 \nL 249.479527 130.13527 \nL 249.901537 118.473225 \nL 249.998924 117.768398 \nL 250.063848 117.906402 \nL 250.193697 119.592371 \nL 250.453396 126.994058 \nL 251.622038 164.561089 \nL 251.654501 164.603632 \nL 251.686963 164.51452 \nL 251.816812 162.898724 \nL 252.076511 155.26156 \nL 253.212691 116.834754 \nL 253.245153 116.747496 \nL 253.277615 116.800308 \nL 253.375002 117.77999 \nL 253.569776 122.783352 \nL 254.251484 149.808335 \nL 254.738419 165.200314 \nL 254.803343 165.610382 \nL 254.868268 165.426461 \nL 254.998117 163.362533 \nL 255.290278 153.293311 \nL 256.296609 115.936836 \nL 256.361533 115.733226 \nL 256.393996 115.869027 \nL 256.523845 117.910343 \nL 256.816005 128.344125 \nL 257.789874 166.308208 \nL 257.854799 166.627352 \nL 257.887261 166.534818 \nL 257.984648 165.277184 \nL 258.211884 157.949878 \nL 259.315602 114.706767 \nL 259.348064 114.73593 \nL 259.445488 115.874024 \nL 259.640336 121.969886 \nL 260.77695 167.63377 \nL 260.8419 167.198088 \nL 261.004273 163.163347 \nL 261.426444 143.690887 \nL 262.108412 114.297841 \nL 262.205836 113.702071 \nL 262.238311 113.902312 \nL 262.36821 116.565273 \nL 262.660482 129.314346 \nL 263.537298 168.463204 \nL 263.569773 168.640978 \nL 263.602247 168.607146 \nL 263.699671 167.264575 \nL 263.926994 158.629041 \nL 264.933709 112.683392 \nL 264.966184 112.706695 \nL 265.063608 114.089343 \nL 265.258456 121.495536 \nL 266.297646 169.665084 \nL 266.33012 169.474305 \nL 266.460019 166.514376 \nL 266.752291 152.107704 \nL 267.564158 111.854408 \nL 267.596633 111.665658 \nL 267.629108 111.725701 \nL 267.726532 113.356003 \nL 267.953854 123.368972 \nL 268.89562 170.696524 \nL 268.960569 170.236613 \nL 269.090468 166.45903 \nL 269.44769 146.416255 \nL 270.129658 110.878108 \nL 270.162133 110.657757 \nL 270.194607 110.71291 \nL 270.292031 112.483777 \nL 270.519354 123.379693 \nL 271.428645 171.710631 \nL 271.493594 171.032466 \nL 271.655968 164.997144 \nL 272.240512 127.607572 \nL 272.597733 110.070537 \nL 272.662683 109.640687 \nL 272.695157 109.881421 \nL 272.825056 113.642205 \nL 273.149803 133.45435 \nL 273.831771 172.573071 \nL 273.864246 172.726989 \nL 273.896721 172.56083 \nL 273.994145 170.232329 \nL 274.253942 155.334895 \nL 275.033334 108.679381 \nL 275.065809 108.626895 \nL 275.163233 110.437613 \nL 275.390556 122.909228 \nL 276.202423 173.636851 \nL 276.234898 173.726961 \nL 276.299847 172.860695 \nL 276.46222 165.578742 \nL 277.371511 107.603106 \nL 277.436461 108.119256 \nL 277.566359 113.119695 \nL 277.98853 143.876022 \nL 278.47565 174.427376 \nL 278.508125 174.733028 \nL 278.5406 174.654073 \nL 278.638024 172.193686 \nL 278.865347 157.732824 \nL 279.612264 106.689361 \nL 279.644739 106.580767 \nL 279.709688 107.562761 \nL 279.872062 115.794258 \nL 280.748878 175.750758 \nL 280.781353 175.428266 \nL 280.911251 170.343203 \nL 281.300947 139.528243 \nL 281.788068 105.87419 \nL 281.820542 105.565566 \nL 281.853017 105.696544 \nL 281.950441 108.607687 \nL 282.210239 127.63378 \nL 282.892207 176.775883 \nL 282.957156 176.038195 \nL 283.11953 167.431403 \nL 283.963871 104.564404 \nL 284.028821 105.78048 \nL 284.191194 115.484143 \nL 285.003061 177.79147 \nL 285.035536 177.433384 \nL 285.165434 171.536906 \nL 285.587605 133.586411 \nL 286.009776 103.576328 \nL 286.042251 103.623463 \nL 286.139675 106.758101 \nL 286.399472 128.229358 \nL 287.016491 178.720788 \nL 287.048966 178.779161 \nL 287.14639 175.810761 \nL 287.373713 157.111947 \nL 288.023206 102.561145 \nL 288.055681 102.624316 \nL 288.153105 106.046303 \nL 288.412902 128.968478 \nL 288.997446 179.66576 \nL 289.029921 179.819747 \nL 289.094871 178.388048 \nL 289.257244 166.84511 \nL 290.004162 101.523026 \nL 290.036636 101.985286 \nL 290.166535 109.178326 \nL 290.68613 163.409909 \nL 290.945927 180.814591 \nL 290.978402 180.708441 \nL 291.075826 176.781409 \nL 291.368098 147.973169 \nL 291.887693 100.584384 \nL 291.920168 100.551925 \nL 292.017592 104.242933 \nL 292.277389 129.886742 \nL 292.829459 181.807588 \nL 292.861933 181.738903 \nL 292.959357 177.636935 \nL 293.251629 147.217472 \nL 293.771224 99.471293 \nL 293.836174 101.020069 \nL 293.998547 114.397945 \nL 294.680515 182.874673 \nL 294.71299 182.534193 \nL 294.810414 177.439045 \nL 295.135161 140.74846 \nL 295.589806 98.460018 \nL 295.654756 100.199149 \nL 295.817129 114.569266 \nL 296.466623 183.850027 \nL 296.499097 183.702914 \nL 296.596521 178.807133 \nL 296.921268 140.524197 \nL 297.343439 97.522963 \nL 297.375914 97.553602 \nL 297.473338 102.301059 \nL 297.76561 137.098958 \nL 298.220255 184.867507 \nL 298.25273 184.693263 \nL 298.350154 179.413965 \nL 298.674901 139.049943 \nL 299.097072 96.435713 \nL 299.162021 98.472706 \nL 299.356869 119.009498 \nL 299.941413 185.920091 \nL 300.006363 184.19952 \nL 300.168736 167.968311 \nL 300.785755 95.408533 \nL 300.81823 95.910958 \nL 300.948128 106.026682 \nL 301.630097 186.860029 \nL 301.695046 184.213036 \nL 301.889894 161.315642 \nL 302.441964 94.395909 \nL 302.506913 96.454315 \nL 302.669286 114.37192 \nL 303.253831 187.953209 \nL 303.286305 187.471255 \nL 303.416204 176.605027 \nL 304.065698 93.394686 \nL 304.130647 95.819331 \nL 304.325495 119.983807 \nL 304.84509 188.886188 \nL 304.877565 188.761686 \nL 304.974989 182.218692 \nL 305.33221 128.10421 \nL 305.656957 92.428488 \nL 305.754381 98.329357 \nL 306.079128 147.83113 \nL 306.436349 189.932738 \nL 306.501299 186.964632 \nL 306.696147 160.441615 \nL 307.183267 91.497877 \nL 307.215742 91.511091 \nL 307.313166 98.350663 \nL 307.670387 156.061233 \nL 307.962659 190.997297 \nL 308.027609 188.615842 \nL 308.222457 161.717725 \nL 308.709577 90.408641 \nL 308.742051 90.623947 \nL 308.839475 98.375929 \nL 309.261646 170.250219 \nL 309.456494 191.902862 \nL 309.488969 191.773792 \nL 309.586393 184.028116 \nL 310.008564 110.762692 \nL 310.203412 89.362012 \nL 310.235887 89.712519 \nL 310.333311 98.212663 \nL 310.95033 193.010538 \nL 311.047754 186.473519 \nL 311.3725 129.090602 \nL 311.664773 88.354177 \nL 311.697247 88.70515 \nL 311.794671 97.637125 \nL 312.379216 193.892421 \nL 312.47664 189.332643 \nL 312.736437 143.695676 \nL 313.093658 87.42038 \nL 313.126133 87.558337 \nL 313.223557 96.419707 \nL 313.808101 195.027198 \nL 313.905525 189.048411 \nL 314.197798 134.06394 \nL 314.522544 86.334484 \nL 314.587494 90.322874 \nL 314.814816 131.343497 \nL 315.204513 196.057901 \nL 315.269462 193.091027 \nL 315.46431 159.284554 \nL 315.886481 85.319279 \nL 315.918956 85.737646 \nL 316.01638 96.209435 \nL 316.568449 197.033515 \nL 316.633399 194.360268 \nL 316.828247 159.569076 \nL 317.250417 84.249482 \nL 317.315367 87.747835 \nL 317.510215 124.163651 \nL 317.932386 197.949973 \nL 318.02981 188.222604 \nL 318.581879 83.237035 \nL 318.679303 91.188647 \nL 319.036525 169.712011 \nL 319.231373 199.0433 \nL 319.263848 198.567386 \nL 319.361272 186.71095 \nL 319.880866 82.325739 \nL 319.945816 85.024001 \nL 320.140664 123.324532 \nL 320.53036 200.079691 \nL 320.562835 199.468542 \nL 320.660259 186.777519 \nL 321.179854 81.217807 \nL 321.244803 85.650221 \nL 321.472126 135.254646 \nL 321.796873 200.894627 \nL 321.829347 200.831966 \nL 321.926771 188.861925 \nL 322.446366 80.221232 \nL 322.511315 85.141977 \nL 322.738638 136.948234 \nL 323.063385 202.142571 \nL 323.09586 201.188089 \nL 323.225758 179.256723 \nL 323.680404 79.210927 \nL 323.712879 80.03615 \nL 323.842777 102.066692 \nL 324.297423 203.159115 \nL 324.329897 202.098168 \nL 324.459796 179.050775 \nL 324.914442 78.215453 \nL 324.946916 79.891868 \nL 325.076815 104.824432 \nL 325.498986 203.954222 \nL 325.531461 203.747647 \nL 325.628885 189.705267 \nL 326.116005 77.179545 \nL 326.180954 82.771806 \nL 326.440752 149.746361 \nL 326.700549 205.14194 \nL 326.733024 204.309555 \nL 326.862922 180.049769 \nL 327.285093 76.313454 \nL 327.317568 76.716989 \nL 327.414992 92.120042 \nL 327.869638 206.00276 \nL 327.934587 202.620834 \nL 328.129435 153.636436 \nL 328.454182 75.230115 \nL 328.486656 75.908274 \nL 328.58408 92.539693 \nL 329.038726 207.210184 \nL 329.103675 201.660272 \nL 329.363473 129.244616 \nL 329.62327 74.334818 \nL 329.720694 89.296758 \nL 330.17534 208.206074 \nL 330.240289 202.925519 \nL 330.467612 138.692549 \nL 330.727409 73.423265 \nL 330.759884 73.581173 \nL 330.857308 90.387761 \nL 331.311954 209.057548 \nL 331.344428 206.458288 \nL 331.506802 164.213855 \nL 331.864023 72.191039 \nL 331.961447 87.391988 \nL 332.416093 210.120073 \nL 332.481042 202.118798 \nL 332.805789 99.714757 \nL 332.968162 71.399994 \nL 333.000637 74.486849 \nL 333.195485 130.617338 \nL 333.487757 211.105565 \nL 333.520232 210.388244 \nL 333.65013 180.540732 \nL 334.039827 70.096227 \nL 334.072301 72.219987 \nL 334.234675 116.758403 \nL 334.559421 212.005559 \nL 334.591896 211.56595 \nL 334.68932 191.699211 \nL 335.111491 69.186729 \nL 335.143966 71.932832 \nL 335.306339 119.122393 \nL 335.631086 213.275846 \nL 335.663561 211.395736 \nL 335.793459 176.877935 \nL 336.150681 68.093977 \nL 336.183155 69.484735 \nL 336.313054 103.503423 \nL 336.670276 214.231876 \nL 336.70275 212.920219 \nL 336.832649 178.528106 \nL 337.18987 67.062375 \nL 337.222345 68.727328 \nL 337.352244 104.417551 \nL 337.709465 215.271484 \nL 337.74194 212.808023 \nL 337.904313 162.6712 \nL 338.22906 66.384944 \nL 338.326484 87.135444 \nL 338.71618 216.225961 \nL 338.78113 209.589639 \nL 339.040927 114.597147 \nL 339.235775 65.250345 \nL 339.26825 68.733255 \nL 339.463098 135.936133 \nL 339.722895 217.300529 \nL 339.75537 215.420273 \nL 339.885269 176.482403 \nL 340.210016 64.322651 \nL 340.24249 64.944498 \nL 340.339914 89.418544 \nL 340.729611 217.853728 \nL 340.762085 213.590494 \nL 340.956933 142.28779 \nL 341.216731 63.321202 \nL 341.314155 85.966001 \nL 341.703851 219.00437 \nL 341.736326 214.945001 \nL 341.931174 142.13001 \nL 342.190971 62.550443 \nL 342.288395 87.132624 \nL 342.645617 220.056498 \nL 342.710566 213.646206 \nL 342.970363 108.18814 \nL 343.132737 61.008175 \nL 343.165211 63.32177 \nL 343.327585 121.473965 \nL 343.619857 221.032907 \nL 343.652332 216.770903 \nL 343.84718 139.817719 \nL 344.074502 60.085943 \nL 344.106977 61.755948 \nL 344.236876 105.657838 \nL 344.561623 221.947237 \nL 344.594097 217.325869 \nL 344.788945 137.852285 \nL 345.016268 58.997142 \nL 345.048743 61.905049 \nL 345.211116 124.363761 \nL 345.470914 223.210576 \nL 345.503388 221.662228 \nL 345.633287 176.105779 \nL 345.925559 58.428225 \nL 345.958034 59.036402 \nL 346.087933 103.356496 \nL 346.380205 223.686833 \nL 346.412679 223.563891 \nL 346.510103 194.424036 \nL 346.83485 57.66609 \nL 346.8998 63.562804 \nL 347.159597 181.302768 \nL 347.289496 224.875725 \nL 347.32197 224.269047 \nL 347.451869 177.969387 \nL 347.744141 56.151583 \nL 347.776616 57.7645 \nL 347.906515 106.699162 \nL 348.198787 226.354116 \nL 348.231261 223.216913 \nL 348.393635 154.546428 \nL 348.653432 55.343388 \nL 348.685907 60.489894 \nL 348.91323 166.454749 \nL 349.075603 227.142024 \nL 349.108078 225.587395 \nL 349.237976 174.750939 \nL 349.530249 54.151186 \nL 349.562723 58.802053 \nL 349.757571 149.487498 \nL 349.952419 228.205657 \nL 349.984894 226.29693 \nL 350.114793 173.448453 \nL 350.407065 53.600697 \nL 350.43954 59.657802 \nL 350.699337 188.943286 \nL 350.829236 229.28532 \nL 350.86171 224.956606 \nL 351.056558 131.572387 \nL 351.251407 52.001854 \nL 351.283881 54.977204 \nL 351.446255 129.473077 \nL 351.673577 230.196983 \nL 351.706052 228.131602 \nL 351.835951 172.22953 \nL 352.095748 51.256851 \nL 352.128223 52.896661 \nL 352.258122 108.753895 \nL 352.517919 231.090145 \nL 352.550394 229.365436 \nL 352.680292 172.644722 \nL 352.94009 50.120429 \nL 352.972565 52.459199 \nL 353.134938 129.50105 \nL 353.362261 232.339136 \nL 353.394735 228.847975 \nL 353.557109 148.990297 \nL 353.784432 49.12961 \nL 353.816906 54.299884 \nL 354.011754 156.607802 \nL 354.206602 232.457747 \nL 354.239077 225.133958 \nL 354.596299 48.120644 \nL 354.693723 75.595136 \nL 355.018469 234.068383 \nL 355.050944 228.123957 \nL 355.278267 101.817145 \nL 355.408166 47.282877 \nL 355.44064 49.283482 \nL 355.570539 111.591466 \nL 355.830336 234.941294 \nL 355.862811 228.446275 \nL 356.122608 79.634395 \nL 356.220032 46.047838 \nL 356.252507 49.597959 \nL 356.414881 136.098344 \nL 356.609729 235.649251 \nL 356.642203 234.714566 \nL 356.772102 171.970964 \nL 357.031899 45.599183 \nL 357.064374 52.854477 \nL 357.421596 237.168932 \nL 357.486545 218.197263 \nL 357.811292 44.055973 \nL 357.876241 61.442731 \nL 358.200988 238.285396 \nL 358.265937 221.62758 \nL 358.590684 43.062475 \nL 358.655633 59.920047 \nL 358.98038 239.26457 \nL 359.04533 221.247237 \nL 359.370076 42.193454 \nL 359.435026 62.310443 \nL 359.759773 239.715989 \nL 359.792247 231.910677 \nL 360.116994 42.027234 \nL 360.214418 69.425854 \nL 360.50669 241.134019 \nL 360.539165 237.577531 \nL 360.701538 140.24781 \nL 360.896386 40.335681 \nL 360.928861 47.331862 \nL 361.253608 241.439909 \nL 361.351032 211.786195 \nL 361.643304 39.166183 \nL 361.675779 45.062541 \nL 361.903101 194.856286 \nL 362.000525 242.3029 \nL 362.065475 230.447876 \nL 362.390222 38.305204 \nL 362.455171 60.864267 \nL 362.747443 243.920141 \nL 362.812392 227.889945 \nL 363.137139 38.402648 \nL 363.169614 48.578185 \nL 363.494361 244.911749 \nL 363.55931 220.809152 \nL 363.851582 36.21663 \nL 363.884057 41.638451 \nL 364.078905 175.398104 \nL 364.208804 245.919932 \nL 364.241278 242.258074 \nL 364.403652 134.428606 \nL 364.566025 35.749107 \nL 364.5985 38.164813 \nL 364.760873 145.281035 \nL 364.923247 246.327822 \nL 364.955721 244.605192 \nL 365.08562 162.769127 \nL 365.280468 35.087468 \nL 365.312943 36.69548 \nL 365.442841 119.210252 \nL 365.637689 247.382941 \nL 365.670164 245.292556 \nL 365.832538 135.42113 \nL 365.994911 33.674613 \nL 366.027386 36.857975 \nL 366.189759 149.375018 \nL 366.352132 248.934169 \nL 366.384607 244.045401 \nL 366.579455 101.947864 \nL 366.709354 32.395873 \nL 366.741829 39.580323 \nL 367.066575 249.332665 \nL 367.131525 219.878247 \nL 367.391322 32.490833 \nL 367.456272 46.887941 \nL 367.748544 250.872701 \nL 367.813493 228.832831 \nL 368.105765 31.002393 \nL 368.13824 41.115589 \nL 368.430512 251.285117 \nL 368.495461 233.570126 \nL 368.787733 29.687972 \nL 368.852683 58.048586 \nL 369.11248 252.095306 \nL 369.17743 234.65886 \nL 369.469702 28.913819 \nL 369.502176 38.792843 \nL 369.794448 253.552015 \nL 369.859398 232.046371 \nL 370.15167 29.159715 \nL 370.184145 42.237564 \nL 370.476417 254.553678 \nL 370.541366 224.984441 \nL 370.801163 26.773355 \nL 370.866113 50.219237 \nL 371.12591 254.682302 \nL 371.19086 236.938993 \nL 371.483132 27.249918 \nL 371.515606 40.758977 \nL 371.807879 255.897384 \nL 371.872828 221.573188 \nL 372.132625 25.066298 \nL 372.1651 35.40145 \nL 372.457372 257.404809 \nL 372.522321 226.370031 \nL 372.782119 23.921417 \nL 372.814594 33.099518 \nL 373.106866 258.361799 \nL 373.171815 227.043584 \nL 373.431612 23.12587 \nL 373.464087 33.451212 \nL 373.756359 258.871401 \nL 373.821309 223.478325 \nL 374.081106 23.180708 \nL 374.113581 36.939688 \nL 374.373378 258.531059 \nL 374.438328 241.608735 \nL 374.698125 21.632097 \nL 374.763074 44.807086 \nL 375.022872 261.216 \nL 375.087821 230.982726 \nL 375.347619 20.789039 \nL 375.380093 33.520925 \nL 375.639891 260.58082 \nL 375.70484 241.686099 \nL 375.964637 19.296 \nL 376.029587 48.938571 \nL 376.19196 210.859168 \nL 376.19196 210.859168 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 35.304688 273.312 \nL 35.304688 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 392.424688 273.312 \nL 392.424688 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 35.304688 273.312 \nL 392.424688 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 35.304688 7.2 \nL 392.424688 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe2998799f4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"35.304688\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot\n",
-    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import scipy.io\n",
-    "\n",
-    "scipy.io.savemat(\"Duffing_fitRandomSample.mat\", {\"x\": results_test_np})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Mean Squared Error Loss"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")\n",
-    "\n",
-    "result_train = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs={'a': -0.5913,\n",
-    "                'b': 0.2579,\n",
-    "                'd': -0.1300,\n",
-    "                'g': 0.4061,\n",
-    "                'w': 1.1630},\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")\n",
-    "\n",
-    "result_test = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor(1.2754, grad_fn=<MseLossBackward>)"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "loss = torch.nn.MSELoss()\n",
-    "loss(result_train,result_test)"
-   ]
-  }
- ],
- "metadata": {
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  },
-  "kernelspec": {
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb b/examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb
deleted file mode 100644
index b323fa4f..00000000
--- a/examples/ode/DuffingEquation/DuffingTest_fit_with_w.ipynb
+++ /dev/null
@@ -1,714 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "import numpy as np\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Duffing equation: Second order ODE system\n",
-    "dt = 0.01\n",
-    "\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x_\"]\n",
-    "\n",
-    "def x_prime_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"g\"]*torch.cos(coeffs[\"w\"]*prev_val[\"t\"]) - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n",
-    "\n",
-    "def t_prime(prev_val, coeffs):\n",
-    "    return 1\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"t\": t_prime}\n",
-    "\n",
-    "# Initial conditions [0,0,0]\n",
-    "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2, \"g\": 0.8, \"w\": 0.5}\n"
-   ]
-  },
-  {
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
-       "        [3.9973e-05, 7.9920e-03, 1.0000e-02],\n",
-       "        [1.5979e-04, 1.5968e-02, 2.0000e-02],\n",
-       "        ...,\n",
-       "        [1.3451e-01, 1.5991e-01, 9.9701e+00],\n",
-       "        [1.3612e-01, 1.6162e-01, 9.9801e+00],\n",
-       "        [1.3774e-01, 1.6335e-01, 9.9901e+00]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 12
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:43:55.258269</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m4a731bc3da\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.71554\" xlink:href=\"#m4a731bc3da\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(51.53429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"119.710578\" xlink:href=\"#m4a731bc3da\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(116.529328 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"184.705615\" xlink:href=\"#m4a731bc3da\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(181.524365 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.700653\" xlink:href=\"#m4a731bc3da\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(246.519403 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"314.695691\" xlink:href=\"#m4a731bc3da\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(311.514441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"379.690729\" xlink:href=\"#m4a731bc3da\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(373.328229 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mfe9c224df6\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe9c224df6\" y=\"238.995879\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −1.5 -->\n      <g transform=\"translate(7.2 242.795098)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe9c224df6\" y=\"201.621172\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −1.0 -->\n      <g transform=\"translate(7.2 205.420391)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe9c224df6\" y=\"164.246466\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.5 -->\n      <g transform=\"translate(7.2 168.045684)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe9c224df6\" y=\"126.871759\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 130.670978)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe9c224df6\" y=\"89.497052\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.5 -->\n      <g transform=\"translate(15.579688 93.296271)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe9c224df6\" y=\"52.122346\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(15.579688 55.921564)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe9c224df6\" y=\"14.747639\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.5 -->\n      <g transform=\"translate(15.579688 18.546858)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pfd9a2e9473)\" d=\"M 54.71554 126.871759 \nL 56.665391 126.76456 \nL 58.615241 126.444806 \nL 60.565093 125.915435 \nL 62.514946 125.179617 \nL 64.78977 124.064788 \nL 67.064594 122.67939 \nL 69.339418 121.02963 \nL 71.614243 119.122141 \nL 74.214042 116.635668 \nL 76.813841 113.833155 \nL 79.738615 110.31784 \nL 82.663389 106.4371 \nL 85.913138 101.722343 \nL 89.162889 96.615297 \nL 92.737612 90.589649 \nL 96.962286 82.996967 \nL 101.836909 73.751639 \nL 117.760678 43.109617 \nL 121.010431 37.538017 \nL 123.935205 32.965223 \nL 126.535004 29.333438 \nL 128.809828 26.543984 \nL 130.759677 24.474365 \nL 132.709526 22.726213 \nL 134.334401 21.529953 \nL 135.959275 20.581458 \nL 137.584149 19.889078 \nL 139.209024 19.459255 \nL 140.833898 19.296321 \nL 142.458773 19.40252 \nL 144.083647 19.777942 \nL 145.708521 20.420564 \nL 147.333396 21.32634 \nL 148.95827 22.489319 \nL 150.583145 23.901791 \nL 152.532994 25.912955 \nL 154.482843 28.251494 \nL 156.757667 31.365917 \nL 159.032492 34.862382 \nL 161.632291 39.278845 \nL 164.557064 44.717415 \nL 167.806813 51.25518 \nL 171.381537 58.938881 \nL 175.60621 68.541685 \nL 180.805808 80.946657 \nL 186.655403 95.488261 \nL 193.155055 112.261767 \nL 199.329725 128.80749 \nL 205.179412 145.09336 \nL 211.354082 162.966477 \nL 218.5037 184.407643 \nL 229.228127 216.648921 \nL 233.127918 227.623056 \nL 236.052762 235.267474 \nL 238.652623 241.489867 \nL 240.927501 246.392469 \nL 242.877397 250.128359 \nL 244.827293 253.383751 \nL 246.452206 255.698631 \nL 248.077119 257.628814 \nL 249.37705 258.883966 \nL 250.67698 259.874413 \nL 251.976911 260.594951 \nL 253.276841 261.042364 \nL 254.576772 261.215501 \nL 255.876702 261.115352 \nL 257.176633 260.744965 \nL 258.476563 260.109481 \nL 259.776494 259.215983 \nL 261.076424 258.073393 \nL 262.701338 256.311153 \nL 264.326251 254.200276 \nL 266.276146 251.245108 \nL 268.226042 247.877574 \nL 270.500921 243.499579 \nL 273.100782 238.011286 \nL 276.350608 230.612994 \nL 281.225347 218.878026 \nL 289.999878 197.693401 \nL 294.224652 188.11144 \nL 297.799461 180.506791 \nL 301.37427 173.427431 \nL 304.624096 167.474483 \nL 307.873923 161.990537 \nL 311.123749 156.973161 \nL 314.048593 152.847739 \nL 316.973421 149.07957 \nL 319.898264 145.653558 \nL 322.823108 142.552366 \nL 325.747952 139.757007 \nL 328.672795 137.247279 \nL 331.922622 134.768035 \nL 335.172448 132.585593 \nL 338.422274 130.669524 \nL 341.997083 128.832719 \nL 345.571892 127.239633 \nL 349.796666 125.614561 \nL 354.671406 124.001907 \nL 361.171058 122.118096 \nL 373.520398 118.585508 \nL 378.395137 116.936205 \nL 379.370085 116.57568 \nL 379.370085 116.57568 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482813 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pfd9a2e9473\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,2], result_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0., \"g\": 0., \"w\": 1.}\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:43:56.328236</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m9f339cacf8\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m9f339cacf8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m9f339cacf8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m9f339cacf8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m9f339cacf8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m9f339cacf8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m9f339cacf8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m54dfa04a88\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m54dfa04a88\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m54dfa04a88\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m54dfa04a88\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m54dfa04a88\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m54dfa04a88\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pb4c7347503)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb4c7347503\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(1000)\n",
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "tags": [
-     "outputPrepend"
-    ]
-   },
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "ad=True), 'w': Parameter containing:\n",
-      "tensor(0.9047, requires_grad=True)}\n",
-      "Epoch: 47\t Loss: tensor(0.0730, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2699, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1399, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4409, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9334, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9002, requires_grad=True)}\n",
-      "Epoch: 48\t Loss: tensor(0.0748, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2592, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1308, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4554, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9225, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9166, requires_grad=True)}\n",
-      "Epoch: 49\t Loss: tensor(0.0563, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2477, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1236, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4682, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9149, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9371, requires_grad=True)}\n",
-      "Epoch: 50\t Loss: tensor(0.0585, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2367, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1207, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4709, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9132, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9509, requires_grad=True)}\n",
-      "Epoch: 51\t Loss: tensor(0.0659, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2264, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1218, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4619, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9176, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9540, requires_grad=True)}\n",
-      "Epoch: 52\t Loss: tensor(0.0646, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2177, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1255, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4426, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9271, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9474, requires_grad=True)}\n",
-      "Epoch: 53\t Loss: tensor(0.0565, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2118, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1292, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.4170, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9398, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9356, requires_grad=True)}\n",
-      "Epoch: 54\t Loss: tensor(0.0517, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2103, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1296, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3908, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9529, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9251, requires_grad=True)}\n",
-      "Epoch: 55\t Loss: tensor(0.0542, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2147, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1234, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3699, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9631, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9218, requires_grad=True)}\n",
-      "Epoch: 56\t Loss: tensor(0.0543, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2232, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1122, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3554, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9705, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9284, requires_grad=True)}\n",
-      "Epoch: 57\t Loss: tensor(0.0484, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2313, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1017, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3450, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9771, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9438, requires_grad=True)}\n",
-      "Epoch: 58\t Loss: tensor(0.0424, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2375, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0945, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3352, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9840, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9634, requires_grad=True)}\n",
-      "Epoch: 59\t Loss: tensor(0.0405, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2416, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0925, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.3208, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9921, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9802, requires_grad=True)}\n",
-      "Epoch: 60\t Loss: tensor(0.0422, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2441, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0966, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2985, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(1.0018, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9896, requires_grad=True)}\n",
-      "Epoch: 61\t Loss: tensor(0.0398, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2454, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1049, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2694, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(1.0127, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9915, requires_grad=True)}\n",
-      "Epoch: 62\t Loss: tensor(0.0340, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2459, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1147, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2373, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(1.0236, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9895, requires_grad=True)}\n",
-      "Epoch: 63\t Loss: tensor(0.0312, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2493, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1199, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.2072, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(1.0318, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9873, requires_grad=True)}\n",
-      "Epoch: 64\t Loss: tensor(0.0349, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2624, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1087, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1884, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(1.0310, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9898, requires_grad=True)}\n",
-      "Epoch: 65\t Loss: tensor(0.0363, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2604, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1155, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1705, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(1.0352, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9991, requires_grad=True)}\n",
-      "Epoch: 66\t Loss: tensor(0.0298, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2601, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1189, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1566, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(1.0366, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0105, requires_grad=True)}\n",
-      "Epoch: 67\t Loss: tensor(0.0318, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2690, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1068, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1507, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(1.0300, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0216, requires_grad=True)}\n",
-      "Epoch: 68\t Loss: tensor(0.0367, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2623, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1118, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1421, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(1.0289, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0318, requires_grad=True)}\n",
-      "Epoch: 69\t Loss: tensor(0.0323, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2556, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1163, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1297, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(1.0276, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0346, requires_grad=True)}\n",
-      "Epoch: 70\t Loss: tensor(0.0378, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2613, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1017, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1229, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(1.0174, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0315, requires_grad=True)}\n",
-      "Epoch: 71\t Loss: tensor(0.0331, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2574, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0986, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1126, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(1.0113, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0258, requires_grad=True)}\n",
-      "Epoch: 72\t Loss: tensor(0.0313, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2441, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.1072, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1003, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(1.0092, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0203, requires_grad=True)}\n",
-      "Epoch: 73\t Loss: tensor(0.0392, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2502, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0843, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1077, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9919, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0197, requires_grad=True)}\n",
-      "Epoch: 74\t Loss: tensor(0.0377, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2402, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0776, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1190, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9787, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0262, requires_grad=True)}\n",
-      "Epoch: 75\t Loss: tensor(0.0312, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2246, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0765, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1296, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9671, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0328, requires_grad=True)}\n",
-      "Epoch: 76\t Loss: tensor(0.0302, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2108, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0750, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1328, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9570, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0316, requires_grad=True)}\n",
-      "Epoch: 77\t Loss: tensor(0.0320, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2019, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0690, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1287, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9479, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0220, requires_grad=True)}\n",
-      "Epoch: 78\t Loss: tensor(0.0289, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1976, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0586, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1206, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9397, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0084, requires_grad=True)}\n",
-      "Epoch: 79\t Loss: tensor(0.0262, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1943, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0481, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1130, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9321, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9980, requires_grad=True)}\n",
-      "Epoch: 80\t Loss: tensor(0.0295, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1890, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0408, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1105, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9243, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9972, requires_grad=True)}\n",
-      "Epoch: 81\t Loss: tensor(0.0301, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1818, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0372, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1127, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9158, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0054, requires_grad=True)}\n",
-      "Epoch: 82\t Loss: tensor(0.0267, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1745, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0355, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1139, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9082, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0166, requires_grad=True)}\n",
-      "Epoch: 83\t Loss: tensor(0.0265, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1688, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0333, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.1093, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9027, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0245, requires_grad=True)}\n",
-      "Epoch: 84\t Loss: tensor(0.0282, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1656, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0291, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.0974, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8999, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0262, requires_grad=True)}\n",
-      "Epoch: 85\t Loss: tensor(0.0270, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1648, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0228, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.0798, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8994, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0230, requires_grad=True)}\n",
-      "Epoch: 86\t Loss: tensor(0.0242, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1648, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0162, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.0602, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9000, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0194, requires_grad=True)}\n",
-      "Epoch: 87\t Loss: tensor(0.0241, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1638, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0113, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.0437, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.9000, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0207, requires_grad=True)}\n",
-      "Epoch: 88\t Loss: tensor(0.0249, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1612, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0088, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.0330, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8982, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0290, requires_grad=True)}\n",
-      "Epoch: 89\t Loss: tensor(0.0229, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1580, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0067, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.0264, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8954, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0410, requires_grad=True)}\n",
-      "Epoch: 90\t Loss: tensor(0.0217, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1557, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(-0.0027, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.0197, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8931, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0512, requires_grad=True)}\n",
-      "Epoch: 91\t Loss: tensor(0.0224, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1551, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.0041, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(0.0100, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8919, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0560, requires_grad=True)}\n",
-      "Epoch: 92\t Loss: tensor(0.0220, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1548, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.0115, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.0039, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8914, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0558, requires_grad=True)}\n",
-      "Epoch: 93\t Loss: tensor(0.0210, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1527, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.0154, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.0204, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8896, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0546, requires_grad=True)}\n",
-      "Epoch: 94\t Loss: tensor(0.0207, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1484, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.0156, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.0351, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8854, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0562, requires_grad=True)}\n",
-      "Epoch: 95\t Loss: tensor(0.0208, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1451, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.0196, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.0427, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8795, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0605, requires_grad=True)}\n",
-      "Epoch: 96\t Loss: tensor(0.0202, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1434, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.0283, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.0444, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8727, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0658, requires_grad=True)}\n",
-      "Epoch: 97\t Loss: tensor(0.0191, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1399, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.0334, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.0474, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8644, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0717, requires_grad=True)}\n",
-      "Epoch: 98\t Loss: tensor(0.0189, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1349, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.0356, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.0548, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8555, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0754, requires_grad=True)}\n",
-      "Epoch: 99\t Loss: tensor(0.0188, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1319, requires_grad=True), 'b': Parameter containing:\n",
-      "tensor(0.0416, requires_grad=True), 'd': Parameter containing:\n",
-      "tensor(-0.0651, requires_grad=True), 'g': Parameter containing:\n",
-      "tensor(0.8485, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0743, requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.1},\n",
-    "    max_epochs=100\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'a': Parameter containing:\n",
-       " tensor(0.1319, requires_grad=True),\n",
-       " 'b': Parameter containing:\n",
-       " tensor(0.0416, requires_grad=True),\n",
-       " 'd': Parameter containing:\n",
-       " tensor(-0.0651, requires_grad=True),\n",
-       " 'g': Parameter containing:\n",
-       " tensor(0.8485, requires_grad=True),\n",
-       " 'w': Parameter containing:\n",
-       " tensor(1.0743, requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 17
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs\n",
-    "\n",
-    "# Awful results"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt = 10000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
-       "        [0.0000e+00, 8.4848e-03, 1.0000e-02],\n",
-       "        [8.4848e-05, 1.6975e-02, 2.0000e-02],\n",
-       "        ...,\n",
-       "        [       nan,        nan, 9.9973e+01],\n",
-       "        [       nan,        nan, 9.9983e+01],\n",
-       "        [       nan,        nan, 9.9993e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 18
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(10000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"307.788562pt\" version=\"1.1\" viewBox=\"0 0 393.262187 307.788562\" width=\"393.262187pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:49:21.214103</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 307.788562 \nL 393.262187 307.788562 \nL 393.262187 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 28.942188 283.910437 \nL 386.062188 283.910437 \nL 386.062188 17.798437 \nL 28.942188 17.798437 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m2993147400\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"45.174915\" xlink:href=\"#m2993147400\" y=\"283.910437\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(41.993665 298.508875)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"114.574033\" xlink:href=\"#m2993147400\" y=\"283.910437\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 20 -->\n      <g transform=\"translate(108.211533 298.508875)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"183.973151\" xlink:href=\"#m2993147400\" y=\"283.910437\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 40 -->\n      <g transform=\"translate(177.610651 298.508875)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"253.372269\" xlink:href=\"#m2993147400\" y=\"283.910437\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 60 -->\n      <g transform=\"translate(247.009769 298.508875)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"322.771387\" xlink:href=\"#m2993147400\" y=\"283.910437\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 80 -->\n      <g transform=\"translate(316.408887 298.508875)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_6\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m63ac4ab6da\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m63ac4ab6da\" y=\"243.659508\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- −5 -->\n      <g transform=\"translate(7.2 247.458727)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m63ac4ab6da\" y=\"200.906494\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −4 -->\n      <g transform=\"translate(7.2 204.705713)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m63ac4ab6da\" y=\"158.15348\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −3 -->\n      <g transform=\"translate(7.2 161.952699)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m63ac4ab6da\" y=\"115.400466\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −2 -->\n      <g transform=\"translate(7.2 119.199685)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m63ac4ab6da\" y=\"72.647452\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −1 -->\n      <g transform=\"translate(7.2 76.44667)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.942188\" xlink:href=\"#m63ac4ab6da\" y=\"29.894437\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0 -->\n      <g transform=\"translate(15.579688 33.693656)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_12\">\n     <!-- 1e33 -->\n     <g transform=\"translate(28.942188 14.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" id=\"DejaVuSans-65\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"125.146484\" xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"188.769531\" xlink:href=\"#DejaVuSans-33\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p767ada8c72)\" d=\"M 45.174915 29.894437 \nL 369.794753 29.894437 \nL 369.82946 271.814437 \nL 369.82946 271.814437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 28.942188 283.910437 \nL 28.942188 17.798437 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 386.062188 283.910437 \nL 386.062188 17.798437 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 28.942188 283.910437 \nL 386.062188 283.910437 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 28.942188 17.798437 \nL 386.062188 17.798437 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p767ada8c72\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"28.942188\" y=\"17.798437\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot\n",
-    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Save results as .mat file"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import scipy.io\n",
-    "\n",
-    "scipy.io.savemat(\"Duffing_fit.mat\", {\"x\": results_test_np})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/DuffingEquation/Duffing_fit.mat b/examples/ode/DuffingEquation/Duffing_fit.mat
deleted file mode 100644
index 113fb226be3451abe25783b3dc893d3802f825c1..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 120184
zcmbUIg<I6!_x+FC-QC^Y%{=VZ+XA}_6q}Tqo`E3*0TomfyRf@EZ@as@+uQoC*Y*DV
z{(+xf`<j_&oZM%vwf8ynXw$EIo3`Z|*Qr;oN1J}N$9Z{=E!WF?q|dl1(<ikkH+9Mk
zuYg+R+D#uj(r4_La#JR^DA#wSPq{X}<I6RuU#@<`77d%UXwbA=gL)0>r~CioU-~XR
z^60hqm(!=qqR(uytpBf=%>VCqzN+ccWz_fd`XBKB?jO+e|G$5A&#i7&C!?|Xkt=_j
z8?(E&2w$1fB5u&V7Tr!2YFV)wEtedg-15ws*p}lirL|1wbGGI8weMTH@5|9@$J8>d
z&U-g(bz)<eRwoQ2TYW1qv(>&L5v}$fo6{<1@#U>r<lfrqM(UAPfj2I<TDjp#tFKkR
zwF*ed<QDf|ZnwP4in?uESl+Gsvzl&+p-tQdj%njIcy4#M;UxyR)p$AD&6stnTczp2
zZm;95ZuN?~+z#xIbqkK3>(;@N;`VF7ayQf6b#7bRZ*>bezsGI0>4;m60cYH<_r2^E
z?{nL&)vm{G8!EkVJG=RdoA3BPZiiAb8eW&qW~iE$%P^`}enVuYB8K==B@E+J%Njnr
zDj8}xsvEw}u4Cx1si7gu!)Asm6%B?s-*$$kH#!?K^z3Q4f2prw?}UK{dx7DGs;9>o
zBI73*7EPXN_-CM>!P+m_P`IASP{d$0wCLwB_)U*6?4KKD$Z>p@q1*4-2LG0G3}#c3
zVdS|5hOCtr8$8WR4FS(q7;5xeW0-a#&Ct62CPT#Wt%kOJb{Ymf-eWita=<XH%n?Js
zW5*4{d`}yUHP0DVKfh@BckNZfP5+yQ16}SKrdD`pxSsy0;rX){hUm+03_Fg0Ft{K5
zV(4@5hhf3---i4z(=q;229E#DM3uZ*2`ZnRT}^Uwqi1gZ^~#IOk)Nz93)19tVRC*b
zN>K3<1hy~5k7;Fiv$z~xE?3}hw#uY$U6r<h)!DqICLKQ3=4JhQ#LZ|xo$ZZS|Emd^
z+Bc_kR7+l5bEAKy)_6>B%cX<u*;}9!8OC-YW=A)A<?czt(Y>g+s}H#gxN~ble*%vT
z<YJj2oDUqv&?_StU4JyEqs9{Yay(-@O<?>|ZziRm!q8#UD7$+GNk#qGG9!RK=Vmgf
zMhKg%VU&GmWLilxZ8}*nO}A2UfsNwF?eu-`;Bc{U2DOeL+jtlIA|si!F^bGrqVfM0
z!=_@fEN>P^yZ*BY^oghGtOO>lP9(?SIsCpcm&Whrk(wcy28HHxx#9x+>n|j`TM9Ef
zE@FF+#cb%4N?-RSM7uAgSKnngdoHJ9rxoOPTS@DBt4Jxgno@bzu>AWPYTaMUf+OpA
zzATMjmi3$%wt<#SHqs%-Ca&Dv#O)QE=`w8#xteaJ$d9cI*uITJ)3(#0+72$=+`-WB
zom^?Si`qAL(LZ=Mol5NC-R3>C>#~<7H}|r4+&<2{-ADiF`*HuUpIs9V5c1#v@qG^R
zb>Bgfs~lox_#s@+4spEoVX7q@X2s*f80sG3na>dxZau=V4@am}?I^DY9%ZxrD1K>2
zX>>uq-yUT_)?;)md5q`Pk6~$ejN;9Xv9{?k3=NKPvFb4<7CT0sOvl*w@+hV=M;Wr}
zDDI}C%;<NNJr$19?DY}eZ8*Y<sYj?=>j<YF9_C2A+R^qf>0TY8f6O78)jh=eQwKRY
z@*r`a4^Yf<fbqEx5IuW8Nrh#z_c1^BJ~mkP^5n}Nx{ley`?I@w+ITl^^LCN>$4>rn
z-$|{s9i(O4!4voGJYKquJ@2;?+I%Z+VOz*~Xfyw%-%KesVGZ0!`;8lz{B%8qi?649
zmozH-uVZuSTC$y4L(@;I>04|ylUuGLX~;@m2CZP)yydjnx(x4gOUd+n38ns~a<ot?
z1*$KmP^(4U>5)R{F!{;k1;hl;r+h>*7ZQ_LpE{4z>*msQ#~d;oO2qAS0^csh)8_VU
zYCMkP(5qOAewsz||6*vGK8CW{qDhxGisywRc~Z(nrb-d?s~OJ222OUjaPYdV9dkDu
z;r*=S8D^oBr<nuOO=Jl*@}XcDooa_rsdEqu#sqT0?9Z-LUmQnf(C+y(GUS=c^~RIA
zHr$&6krPPT<%#*#IBu00%eH=_sTehqh9`#eCG#)>I}YJ&_#iTzA3&wz{b@JWorzoe
zvN}s2@(k%k>Xx4P<m*Aqly3aJ(1mkNJCk#9NA~9K!26JPq<v^Zdau@edSoDKlpEI{
zx8%-*7A*bTj3(x$Bo}PLt(A@V-KHVg@6{)Zu^vAw)#dHKwRt+T7B6bn<oEsRR86YJ
z<o;E;TC56V?^dGR%8KOjt3d6}<#CoNNBJLR_;sx`rFWOYnOc(8(Iw~-TAbz6i!o?o
zQ9M11aLKDM3#Js}RA4~{I}6Y^IX_!A<s<BDUber@!?1#R@NJcw-(I=+o}82M7jw`(
zcMeu`&raa1Y#h0s6-VW)9P!IS(3#Avt&*7mwoHUQ&q(=R88Ph1z_nT#c(ph^fhE&p
zo|lfyrP7hH<6pzuA%6^~f`1zlmi;pHy!O-ZIsZ?C)%`!iuf;zMgT8$?%y<88II!oN
z;ZUt_hQ-Ui8U|MVYIwHsi=lIeFNVMepAG)@&jv%I&xTVkKN*Ux{$!{${gdHk+fRmZ
zr9K&E|M_T`^x~u8{q2v2qBlMo?%erkFueL`Xq5hwVRzY2hJQPLGK}^6WC%_BWGL|N
zlc8j@&xZJLmHFtiVXw*`x#5dpXvMFF)eFBG+E(~xD3kWh(6sG$gX8XZLsrWV!-l&5
z8G;`FXBe^gr(wXjUxpzKe;dYR`(yBY^2adZ)L%pD;B;iYnvOyJ(lh63dUg)Uz}}}B
zSm=|H{#i2dI5`t-8fV7qVrKf!$U>H4S($zyD+%7&m{=-1@6KhXq$3Bf+T>(lx?BuD
zl#3sZ+?4B`hx4WLlHqM$HXh8!wYmA3Jfi?pdl%$dgF-AQT9`e53sd`55nkRX%Inj`
zsC`g#zOw|qww9#QmQs}5R+>7y%iwXiERko+apHD)GQO=q;|!JXC|;T24Xe<pS5>l3
ztwv&8bzX0;LHheOIg_I{?VHtMq-R}<C)Z=l`T8`^){yA7jTjWxnA!W9P%m9Gs*3j}
zMYQ0@#g-f_?Z&PN25#<zB01YIdRSYwZ*E7HoE_*erXybaJ29?Q7wQLfW$!Jm7q=er
z6|JAFy@;ONn_AcU(6&uK4zG1*vDVso#{k-X8_0|CgV}Lo2#dQ9Bk{m+!W)ld;+j#^
zsW67a^TtxDz<8>=Jh`1|0+qui^7)51Eqo{Q{QVT(cu%AGi|Onc>%+K*zEm0R&+A(O
ztQatpj#q-%-aCYs|Az9cl981UjnrLa!e^+N$t5flx@KX>Y%7L;Y;4G3XZ2A#6^st@
zv~V)^lan%Q!>KnWg4mKSnqG8K+!;x2w<sojh~n7NXqxtqVN14IG~79h)t<5BEgHwb
zBXNXIosCb)cp4myCv8#!cMB!5V^<;#htHuyhPgamGMB9F=dtwRJT`_UQKe)u-?t=F
zw#R&8AI+zIzyj*!Tu8V13yG|m!mAxA3~Mj!{dW<=+!u4>=3+VyOJ)AOR4xr$!lPSD
zIO4ICNy6-F9hULm&SjjdxtyNK%bA*O1$Abuz<6r~BigLw#L|^)%)E+1V^;Bc|0)_3
zU(JIltNC<zHKPlQ$H%Op^M*BS{;>wH)@vDKUCZL5Yblj!9T!-~o`7}SN?S*bhwE5g
zAdMca(<n7Djr_CIsIeoBaW~UA{3DIlMb>kx?s^hBuE%@OdPYoK&-B3cEVi!aZRC0e
z#jWRQ{CeVKBV*Uo*R`IB=Jl-c6IXezXRXJ2X0+A2HP@4ze?6JLq_O%+8nK(x*cY8f
zqw#6{Xr+4drD3|ij-F~$Xy7`Ev|UH3Z0neFdM%NWYst`UEq}ADCE~yuR{O7ET&*=6
zy}O#T(W?n>wVFTAR?#R{)@&7-@2q4)*h<{Wtz_%I6_gvi0{fTce27}kgi6c#v11u4
zyDcN^_EMY^m-6rTCG@v0p>Ccf3{OnueW_GlFJ8>h%8Ti~ViAX{F5=Ac6sA>5Vb7w4
zY%jTxi3tmMlzRcyZ1d^xGnsZ%ld1JMiJbkDcyVGL=bO*t)T+5WC^na}jyXhqPNeb3
zL@NB7z>sDMyiJYgL9Tf4n@#?Eag6K~N3->@EGiO9YRD`)J&s{+*BDYZL^GyHG#`SZ
z==mTLTgONiu5qzApNqM^5x8!KV<sH?QYR_dom`phpx$LWJDS_^OR+I6v)05!E3Gby
zdz)M6zsSs&tY&^sG2wUJ$oMu!*1Lx>zj`Q3{seR3auAKy&g8l^kW<3~DB8lGGe!LP
z{Mm=(%QHB;bvkqBP9syuRLYE=!uzh1u{WB;%d*~7%{`G$zr5)8#*+c}$4e)V!~4uw
zVvdgC+=0<F-ZzR<dq<MEe*~$Ahx7I1Fp@3~WzL-;e10kH_-_!eat$J({6O|J8-Qn@
z{-jLyz%$C7lWF}paj`GnKl-q{LLYYZ?9J4WUOY(qheD5flDkAtF7)lexLMsff36#a
z3Us4M|E{!5=|a_)o%tiaKkDqHIqyi_h8?*X*#XOo_SEjuo?C0$5u3jqy=S(i%+ogf
z?AL}@$6E8gWovS8f%bJ_&N>6x>Kd54*^RC(-6(gg6(#$%!tF^*9DyzQFJDXMtZBiB
zE-mnQ*_^=W=A3TaobLCV@hhqsw++pB^RX#)S2rbfOj9~mXiBL^O{ln{34<p$;YhP4
z49n7lYS$W5VNGMYnH#fYNMowEXw2;rjoJOD5l5di;>Wp0c<gP&t#yrXEN;YrxsB)^
z*ND+EjYyKc|KIm{jrfq-h`H<a?EXg7xY&sN&l`~~ePi;JZcMpWjcGZoF+(klv8t|h
zR~vIBQxkqPZbFd>O{l)O33YEZp>naNWE;?wD@jdp-fv2o>dlz#(~QT5nvuIub8>h#
z=lZ_pOfS}gD?Tmwb*Tl98@I%n)RM>PTk&~fD>h$mMd{9N)Y;|6{W=EfE;mr59K_Ct
zq>`<vwV*Za%D3UhiZ(p2*B0+RZ5iIR9eZxJBV<y0=4a?Yp`;Gn)tr4f*O9)HJMl43
zXU=Tw%q@>D6#LVKkQH6Y)VCYU({*RahVGObCB7=$lWnJaGSl)8_1t=K;d?JUw)JMa
zZy(+?>C1;7ec8RQAMI`KSbKOdqiBD!KkAQR!vJ!I4P^X3gXmg*Fl#;!#&U89CsT&v
z<3EhxUc<RwV+3JYM&kKsB(8&_xVvaH159IhKWZ!sI*h}k`gro^@#M%SPvNK+Zx2qO
z_v(q*XM1A_nS{Y}GHd%z;RsU+t~HI5#iz44>kNK;nZfbLKBT|w%lyNBL~Zux<dOh7
z#s~7lI+JU@L0lOZ%=7*sWbP75`4(Z!Eo`Jvw2{y(CN6}U$okDh$th;CJ~MMvdi$TN
z78doevhj$Okd`+7Y_w6gnw{(m?KlcLSmJcx@!P@tX-+0TadK=xI4P&Y`REqGuJsXo
zDCZ(J)<t~!NWM&sWZk_;#gtLx-W|oNs?q9GGz<Sk^U5<uIy8pdEoX5pbr$=x$8umw
zELSea@=dX8h52#x`V&Xc@Y$s7pUt*1@$3qYXT^<p{2M1wMKNvKiv)7C6;94eq~^Os
zp0=CAs5x^;dNGHH7IUc`F_*CGa|x<EkJ8iTF=F>T+GI*%cef-?$0p%@HHqZn$@CkX
zOnh=O9ygPjTXa4iediMyHJ@h3^!@jI9yeIPy>Sa@KW_o~PA#DIj|E(+vXEna7E&Z+
zA%~VN<iweURQ|Y->xEOe*EEIZ15$Y6m%@YDDb!q_!r>Dsth}GXjjt)V=UhaoGK;8P
zcM(p*B5HMCM2P{5=sju?7bh&z*e+tD-y-tOT*U66MQoCN30#C-*T(5yqMj+HXW#T+
zL=nB4pfbEw)&iATBiAAdeNSQd!xVCzPNB@E6z0rPY#)@usi7%E7*g0<I)!mR7vj9O
zkSd!N($2MzN23;!qxnL1=U&Kv_ZM(_(*o*SWPKKJuIvKxyq?deZS%1h=X0?0d^YEu
z&yXw09GsWTvmwb`Dw9n3y(IFaBr$$y67xzVvFhqP=Eu&%zuP=oXPU>)-E&EsK9^zD
z=92Hu98S%eL#*a(!k0t_FHgkFBax)ciG13ez|4^eG|rPi^<D7{85_@~yz#{EoXxUP
zv&orrHfJ`)@n&EgzUkudS{}>UZn3O+Ka0!>vv|;K79DTL&@3#5edS}gb2yshvC;g=
z5>3vPQ5^3aMY9)?j0umVSM^9ToOBW9>Ehq4E<P-e;C+V(&OZ(((GpIl3gNss;KVfC
zNufUuR?K%mO9u~c*ohCYGq|XomfLJJcegS4vz2Aim8BY5IU@dCGTov)k%gk0&1~&!
zX8var=MzkLG&RxSh7r#oBfm=<d1(q`<%v+-@`bW-KnS@~gYkGB#GIx<T(!)k)P+E%
zmJQ^_<N${6_a}RPf9{U<<H>gE-rT;d812Ip<&dm}X7Fb6bT*!v#?`9R7-gTz;HOhK
z-f0SJS5GEi-pTy%nS}RkZ>DtcChLZYG%q!goDmZ+|L`Jpf)~^7c=D;YC$&$Er&8<j
z+}=5kfsMzpXwz7>)*s9KO=I+1*tK&sV_J`9*NIVl=`)IA_eN56(nu=*9zo%l5&Wz$
zf*U)Avq|_D@p72jG7LkdVU#;El$_&+l0L^!GHn<_(E&qfnPCVs(gt&2$Y3hx9?X*c
zgJ|V5hz~UeapciJwk;gU$-x8pQ(_<<w+C=BWdJkA4xmNt0aW`Y3_jeS;Mo2=8rdJ8
zM*XRiy*~x-dr)Dg2SegLI5^FN-n~7@+0cXcMLbCN+np9q+*x?eomzX`d9>P{L&?$%
z(e8Y+xYIqzont=kjGgLEwaM<}mKD<Xmbzw|>CO|g?nz^$OLAw+N_UJq-5GVpodFNr
z8S&knfcze$)bikB7Z37zdEgP@LFzgWK3w#m&3_)us@R{~J^NEWxIaVJ^e6gue>UbF
zz@hd7*dH{2Wm^U??cD&%)f&k92?Hs)W*{Tp3?!)jAUypCQAy*oHrrr+^&L#U#e;eB
zZZQ6>hj1uP_EclpYA6?G59Rvnp;$W&<HC|*>`p%%w~@o?duTY{D~+I9_z3R49YGO~
zk(}N)lJC_<F)w};E7Omr{M6C>y*C=S-eb6Wcnn9HjwR!|u|!oI$I#?)Oe!><9ns@y
zp2L%uc2ACF^5VF~i)R@pP~J9yDOo3SI$|Pq^LmpI@6GoTljxl~iKH5n`FHbV9=lE9
z#)&B`>o=8l52mta@-(jhn#N(*bjFpO!LBtk*wM;|L1%rKH^P@GpM1Gu_v1(je;Tj%
zr$YMxEH{)Zof3#M^GwRjpGoe9LG(No#Lbbxto{+qw%8E9OQU)o3MJj(Fm`+jqkTss
zTjPw>yk}%dO%uffOoSgX@jjoKu8Iw3uQGGui<u{FEIf^}aN>qVc@ZmRr&)>GW93X%
z8#nvd*rYsc@8>o)H?VUh*v{r-cDm$q5I@jCOsa!suN*`)bYcloEP2?;fE?k}?j26j
zoN$uw=zGNox_d_OWo-nNK16V}k&CPWF1GA)ar2i8UqdA3ut<LIkL1zcNa_>C<B%x6
zi$f>=h@yFuXogRZ=H|L+Ry>d9aD^CZ4vFD*d<>V)h*LAo!r5XLt*0tRT{eqhH^i^G
zV(E)=anoYSo*GM)i?Mj8kK;z&I3^5@qjW?Z@3+Qr|9%{=a?B=QquF#HGMfdK*<@Hf
zn}Bn(`SWQuaYYs1wutA>;CN!i$KB`0i`#|I*W;Q0C7$v56KGf~fxjIRI5{kVSic0^
zqY@~*B!TnW6R;^i*zj%wH{T@?m@big`4U-JCXtG@^w}(tyzLY5>zT-<{)to>k;vrn
ziL9NJ$o=WcU;B&aXC~4vIFUXfi42f==z9-cbJM-5GZM))IgvMd=ak-EHXxC(fAn03
zM724QJau%hTp||=B(giB%KenU@`nkmKA*s@y$M`jl_35|pnX^ZiJl4k>ZLX+_R3o}
zfdiQmh<*`I(7*A7Z-{4iTs#GoTaWD*Ps>L7UND|wA7<0*>}>XEyoTFn({ki&`n8<R
znnJT_|0a&|N8{)yU9)9+98)^SF|%|W*FVJKIvUHIxv~725X+HPvAoV5OTgV(c&E+c
zv|_ut-KCLA%p&4>3|qIxFxVVJSkD+Lmx$q?C()!=%*RY|Tl;9daz``ds`9G~qsTWt
zifeVEX!A9a-g_g-VU1*J*GTO7#Cum=Tu642Yov?JRb1?U8G)Phn`K4>@l7M}`58`?
z{o$-Lhm)(LcrbgoFwV*F7$<G}ILT93+V7f!$w>~f4|R}K)<LC*cGfJl(_p-v-PP@M
zeQo1WnhobP8?74I$oS35y`5Gr2U~f9l|mV<j6G)IR=9<L9u~-Nq0tpH1Lv99sP#w%
zGnt=Bqpmg4X_|@SO-#6c8A&)~<hj#`{U0OKix?TYJB;A2VRXD1%7F=?y!#o#wWtt6
z%Z2c4b1=m^2UGY?5Raw@Vb2~!hQ%`((tIX!F9x#PTY2QHfgF}@-q<>TguDLC2=V8i
z(*D%m=STh#e*DSc$M@yFWa#co*^fT-o##Vp8z1t#nn7~H47#_OL8Z6TsWN{${klzO
z)6Z$NT{n%aBNX=*nntUWQ<Yzs%9y588Tft*vsX`{;J7K=sxXDO_b1bH(PVy)n9Q#V
z`u=nhUsg}z<J3uXYNqe$Ch_N#H)9gLsW#f1ZuPx6m(H857bfy&$wb!rPh@|0@p#3F
zl=wM;(U&Jsc>M(GyC$&1a{{Zi*OaZ=1TJQuK=wCYth?aF{_S3n;zezz7va;r=sV1d
z$ZlRVY~e+h8eaTcQqSb^qHIPlUVrzb>U&SlKKJC|Lr+HC^`yrwPnO*9WV9^urYEJP
z8Hzmc#P6vmEfvd;{UQzV$CF3dy=YuSyin1L?+v^d*UpQ2?q0ZiddUa8SRLoZ)m2{f
zKjcNt+g|kg=EaeM6R_8xKzy$WyqY?Jh&b`d)(OnHF@f}d)t|}}nbl*W^zlS;ES^Zx
znTZVjF_Au1z47(%=BV8p!wzrmzVs%w%p{zBClM7siL?Wgc>aA7%^FN*zPGf{%E`n&
zo=hptLE4BZv|pt8xIcxd6{hlc%v5YE_4#@#UJa&kAYdBl4oss;w&~RAJ)OeI)4BF!
zI#cV<;7-U4N}QfS#o|7E8SjH@yAKbu`to&vFNatA(&4u+fxY|~wA7Es-~A}q)1OC6
z<X`{!)30{`Z&oU2l0J}s2L_U3b0DX4%_QgenH)PflW(PhND2sIjdCoN>j#r5I+*sa
zg1O&0giFgqD4sc#b)!RZiR04BhfzQ}a?|}VI+QcgwU?1`Mk8}J7}YQ3Kl7W2ZDZn(
z){#%DNm|6j^o(Y{HZ&7B#>{{5X8ewtc`5#LuVP_~hlNZI3+=aCnD)$qv#1qkCo7Zv
ztu$R><-t`e6SCMi-`GaJu{Ns3+bD9_#<dSNyvo@*)zi**apU{db~aqM(<F<7u!iEr
z5f1uAIk>gcLFuOsiWYEk!p%u-FDLEeo#fo_#Q4I=;)3CLyM=RiTsU82!r8PVoV*W&
zMcE@*Q7?kK{UcZ(8bPsT5fnWg!Rq(Y?1f#}Tevtq%*6t;i=WF}JUro|_bV5jaz}Eo
zP9*#PiNv6|)NNKIyVpmu?QA5q-b7L=XB4(-QH<>n#qN<&*u}R;=0@SOIf{gTqp0#M
zipuGti7OV(#Cp-J?-b3jVbS>cMDsN~nmY@lsku3tyT|nVMl{o3N7F}fZhT(FA?0Fl
zs~5u(V(=1fM~kZqOo-u&UkptwF<gm`;ljKaYAlW6{<;{&Suu>-A4BcqF}R<N;l||{
zcHWHP^Su~c%JYSa2hP5VVdmQy%<p4(_92E<A7eNnYcDIK-yZK`c=I}jM=xS%{xpVn
z4`Rr2NAF&XVZenL;!nlU=&;(hJBG!ZVwkcjhNUSnv`$bN5ix8GjS)7)aAs@_K?7o#
zqugSJRxy;S9fPBE45M>vpZS;i|4L(_{tiDLjblr+azW8_jEd%7fW~2TG?6`{No^KQ
ziwe<r<c#Lqrzpzaj^f<mD6+57XKWM|0;0$?EDHa2Q3Pua3g?cZ{f9_$UWsJlj!4EQ
zN0KfylBOdf$=f!Ph>DS{$`r|zCob+Bb@4^>ywm2Q=2#a!+Pf%U(Z#CtE}q?s;LhF%
zqLL%{5fDK|j|l0+2zKU;p!(}@hMx#$=u+{VF`V6l!zt4=oZbb(>Ho$_{S!_eraGAz
z;^bU^C;7BLSudANK3njB{CA#wd4_`uJsd2n;-E-62Y!kPk8iS*Gty3nvC5|!>?~4z
zc=WxE=O=CCSYo4gu#J9-6^(VIAEhVX-M7+Ymz4;`jc>fIjO=LTd08u#9~K&4vha7U
zg-3ST2n*?3iX#hKSoqFN`BP?2E;TbJ%uMtkGwU0h`6V6e|Jp?P6DEEwF_FV)l7=%W
zS7>5JVH1NtD(`d7$ep!DW=0tC@H8?*n)ssjNPIFH*?uI9f|fA;wh1F7eHgP2hSJg;
zim6>FV}v!&jw?2Gg>bcJ2%QRsFzR|R)fWb{a7-{qY6i35QxG-x1TobX#N>a1s8%9~
zlqWN}x^X7wLTBRYK9gJ}XX5@cka4>LY3mB))sR3&)eU52hCmKn4Pech04A6M_}f2#
ziFE_mkTrmF_m$V$<xfh2KYge9^R$OQ18e%TF1xVwxgWny`0-<vAGch7q)zsuS0Ba3
zP5c;D%8wJ`?qV-}>2uK+zumsrmic0w<;(bBUs`zi@}Gy|=MKKKZS2db%D%KN>dVsX
z!tY-`H2L7en5RCNZu<~<$w%7NhlxjgV4resJAK%&#fR=2eYl+FL+5oqtX%8ECs}p<
z?y^BTVY3e%#RnDk`0(VQ53^4AQ2x9RbFTaF@qrKZU+bA~K6qqQTk`qxr?fANYx!!O
z`4T3rv16z&r>FR`-Rw(HqA!Kl_+mZa%kite+<xQBq0D{+lu`ei`q5o|9zV&CZsC4>
zU8e8K2hM-sM|?VedX)3$NNaz-kM!rc#h=*a{(Ly;Pu92ooG%bSw`KwODtF(*7Qp$n
z0sOkGG5;Mvr>dHp-hq@34#aOoAQLYI^55S;%GI99twA%X9zK(-J7zND*-R!B4dP{|
zAl{3wX0Ddbx*eo^Loh|#1~bPunCMl({C6jq>jgrnEdIJ15<>bdA-G<K5LiBxlLJBt
zm=%ged5~x6!dToqjP=vQ$h|g<olnBJp4Z6tT1HxQHL_s5k#aU82UCrN9WXNBu90ri
zh5bvIm?>Z1<RPB(F=>y_#OaMDx}G<2^{t61xy=-;rSk+`&G>qmsqZu^-=o}&crWO&
z&e>$Nkfnm+zSb7(!z~y>Exem=VeW2=&Z1a2`Ca)@@!+w>R%+{ff>~#Bj?A+1G0jSj
ze`T+%e8^^FUlkiu+Dq?_vJntw<KOu<((MvYUbFG*lZ`|9?2N2!=UNv#7020WZ?@A+
z`PDx=?Ic{W^Ygu(y1BG3Q`Nz*HV)#3IQZb_pjfPf%xfH4rw(f0bujLmgAw_hl&J1x
zb{i+B20GdIzr1X?lk1C|{MxS1vrfE~r``6`$=3YgcvcPPT&r-ND<0h>Zmk_8yc56H
zT@udLZMuFkoMX4c`R83Ymh=&fC>X(0ozW=RB!XuhBN!##HII*=lYayo>=Eouh+xvv
z2=;G^VDo_pI-iXo^p?(aJdfbi=Lqhla}k%z#p9wbE>&<bqPB~OrsCu_ig&xZ*xc7e
z&mk_XV_dj<yEr(*#fh0NVStO}4i~{uE?&pE_&Uc$(tMZt<zmB97Zp~zsH1(Y%j;Ye
z+Th~tMi-+tyO_4cMTxC0hRNJy+x7d5t_N>Yxq5Cxnv2G3U3je0d&^x+O;ueBU1Ugd
z(LBLL-dQee5iXLgYGbH)#NS2gR2K#>7a@w3h7WY{q?e0)on1UIxERpbg<nk<Ez9fK
zA}$W(bYW7TU#ssKUqomuBWQA7<8e5G^4lU<uu|ia6v4{K2%1a3giMLRZ-nvyy(4h8
ziC{_n2>i=OkSTuz-O@$SL-Ua9ZaB^};T+x-&fb;b1SE#@MY+kw)52*!EL?k?;lzo%
zUQ`Sxd%kc!X|7j3b5i}16aRfq;#WyiNn5#vIdwKp9M;c?r@@I|H7A3mzl!~Gu>OgI
z^5+~(*`Zi&v4f=%4x+_x1Lb>JJ2;qE+d;k}4krDvv+=2&yJziu*(QxAzkP1Eb8NDm
z*&cR!iSzzewzD|5eEN%xBe!jIIwGH6W25P88!KkoD5!N2+(ofrJsVw%DWCFJIn!t2
zz_V6<ZMEXFz{)49l_2q9F0HebEv@vbXeDz_t2B;<WUa-}Ll$PNwh$C&Va`mg%~2Ne
zcav6aXyHXkUC(5p+8eEJ#go_enYp#X%%53W<1@`HA8n>~4_$Af@8!%S<uJ2Fx!JFG
zO^i5cQvTV*#)T%5!cD9fj(iwyVq`ZH>6EuUTfxM?c})EN&&cp+Mm}FMvR4?id!3PY
zNk#@LF8$Bf$feOn9`}~+Zf#^s9r3I3yi;-+>HaN@Mpwg_vo#FAgfK4ohLPqGM)qc5
zJSiSVyI-MHzW0Bc-hX*0FCs#DG$oX=?x9R;8A{d)p;XTv%C+|)6u1$>t%D&nSff}V
zA%t0BA<Uf+LVb@AhO`Z#MBNa)ONG!oM+m3C2XpgTu=HOrJB|kvz9X3T!sNHf!B`bn
zY%&ECAe_GH70j7o!3^#fjHRpMjW*)<X2HbP3)X&~epd)4V=3J)5=@W$!t-3g{K^*0
z&dkB&$*Aw?f-(OMV$q)<JY-8{;rg99y|_U4_v^Xedj7oLYo_-bshlGvgLzgynEBO$
zc~m!;JxznD+*<W@31)epVD=6PX4Lp#;-?4GCp4Jkh+wA7Q9GBa-J60bcTn;D`Cw+<
zlf4V3P`VIG<_}?Mg%H*?3ZY4-5DbGtI6NtYBc>4AB!<vbW48Q22vJvcPULk6doqTS
zzGNsn8-(((YbY}nSDAuC`J52SrS+kdIu**lk3)I-S6Zl~at%$xaP<wN{?ss<Mum~Q
zI*h?5G^bC)@Xer@E58x%@<yuGH<C+x=Eda;Jx3Z@J<Uihv;0GO$c0OcL~YUMQ6m?w
z8mau;$lM=BYUDI=tCWdVbxh1|ZDMX86FbJp5B*HElTWTqHt8&&i9-iWOuD4+PsMlN
zO+3sgpDttOc6~GN+nXscK>j|_Oh~AiBe7-*FEcZBhnY*K%^2=UGk!EvC5uI8axCI>
zeTw%g^|P>YyoFjp7Sf_E)Je6lW~;8B6c64OKfbpxNqL(yMXXe)VP%S&_6mDhc{bWg
zKE;N$BCIsm`fa+wO69{=GAK?w^IUrNr<E#sY-}xOqfSE`vpU$g)!#<$2{x)o6IYJ5
zk$sVk3)*iCRvek*ijBahHco!C@gtj^Y$fb`tzqY2OFLfO?YtRcr~4$k;xs!+QTkk9
zr`tL^&-U0EbjHq-TYC1Toh?7?1Z8tjxTphjWd{cpgI*A)Zu-Z;XyvUQO>od4z`;K@
z2QA_pd|c?jUmSa4yMxDv9h?>>2H$e<O}f9;M+aTB_gOZZQ~NqjDwKBePgUi^>Wgbz
zI0<U+<UkMcu!oa*+Apf*sT}ZBCkq3dgczNabvm&sf3_ykNx}jrZFB}>{c0z7Hz>x~
zrah)TPCg%WQth~t(#o}6I`5>*6=C-c;rJaVbsjib{#efo+poTK60JBT%X=q=k4~C=
zcJlU%Q<^~MI=(yQM^1YGr?$v4i4XqjbC;}%Y=-Vl*E0?D>}I|5RcD@lesFU5os%9a
zGf8EyRvjU#tB~rPth%GrhN)^xu?tRYYTFLAapNIf+pG7bGumx((toX!hRdZnQk-;{
z=Oj2zWw@MlwyMp+PViMcHOa}Cu}*3X)fkG0%5+zq?VNOL;iS06aeGxKRm!Lzg`5QB
za55yF+VIsuigN0I?>mH@+J8Ikpqyf`>suUnu5xgGfrI>-yIOX|V>2Cmn&e>7NC(y3
z9n9+N;EML^zSnW^v%EuRvK*vlb<p`gI~QKtal2<H>Vlm^hwa?nDqCUa$UJeGOa3I^
zdLv#79HBf$Z=JhtXD79hoqOW99E$5I$uDdFu<5*rjRLo9ygzN@;2s;cbv6tOZM>FG
z&yxPDIaQi)gt)G^jdN{m^lV_`L<K!lP-ks2+9;=e!|2CWeqOfXdDO}kabUaURyHSU
z%{Z(q(7Gz-X=UyJt1!{Zn&wu}+PhW4icy?c_m_p|uPv;*BVIgfVeozn9X3e6F4m{`
zafro&#mB<#u@*A-w=lA^Mdyty^r<PXEM*}fj|Go(TI<4t($c{dubOFlLV2NGW=^d&
z(>TS<ZsEretC`~dW<E(fzZ@by{YM(Qof)%u^iy>+*3x=5zs?e5HuF<>l>d#1E)PsB
zy<(!`DHF%`nRG_MMBqvj5erNlj5BFXm{<~GqUQ|7tzITdiEDMh8rT2$wylX2>3Pq(
zie0Pdz0$(GLMEEzGI1rNiA6t^-})r(eI<;2Y$W2gk;Yey<T-1k@Nwn9#LMe;8Zm4(
z@<%c6o8?BG;T1<G8@ZZb#4<}9?lLmbt}}ury%S<&Q-BepkK*L1de>X!dKsBNRypQT
zM*bPDeDe?^#|A3i=x-#wyYkR|jHDB`cTq0-a1SGsyQ|)AibWKsBy=&7Nw%c3;%u3Z
zY?&;JuFaJV(lg!l>?FOjPw%2K-YIW)R%PDqC(ckEHq}*Dbv_%WxLy2_UTx{)Y2^Gw
zBSBM)^qryj$KOb}_L855seY@G^5I7QMj6RA+epi~s%wGD5Z9brseY!3gTy(PcNwX2
z&`65L35{14joYVN`h2AEdTAv2gOSqWqQmJlXW0~2<<p!MGqI<fiG0;f%F&uA-NM9W
z&CwdoRcb$R)KC+z$C;F0Gm#c(qNT;e<4EyXqTXGkcUGI2zs1BE`9a~6Cj7-+AMTj2
zJQs(3GV$uSi38cptSKlHkL{OFJ#D01M{Awi>}KX)4>N9~%<P+F=AS@uocwW-G~KZI
zW@@Z7lW~ig=ljjv5Wii$X6DW#GjEkE$^J`vFPnvdg)BssQ+!v;LU#FouMQUG_qOn6
zsD-u@EF}3^_+r+&h_SFC*+Slx7N%^maQ1-s@LvnzH<X8YVxgrpXv`lA_i|XNsd#Xj
zwCSe0R$fb|mhEh%n>6c`5z@2LugL*cQl({66eq^cx8lFjO7AUN#|Nz3J#A&yH7gAt
zSvmez@BL?$KC)3UzYX6~Hnvr@>FkM3=V@(Zm0teYSDZP_#&R#6HSn?VU#JaBxQ#E;
z)xCr_vsc>KyGa-$3_5;H&z-k1;iip3k8Lb@qx`J6bW%DyE3-?l7f`OMr1onn*_l?`
zPO&D^?9%QzI@#&>kDbu|cAUd?PkTAdr`WmgXJ=ff^13!Vxx}|M<Ly*Uwv#T^&bF0y
zI<L30UHF+^{9E;qooXlSWLAu@=aQYC%8Tv3YbV2F#k();lzD6C<45JjzUkRtsz<rA
zLzx_07EkY2+-uQZYFXiQyg2(o2?trqILIXIzFE<MQ@OT0)g3w?>R_>AlC-)GX4iMn
zOT7N1k%Qh%93(V#u(6r)a?Kq~Ya#9z{?C#<lI3ls{GIHbzAus0lO^bxOM3Q&-np)K
z7paUkjUDV!nfV$xFw}F<LHtprmd<^s?f}K*&nr1-SV8fT_Pqv`a?rH6$}Ft57ZCsC
zanL%a126H+l#CAg{<Tx+r}l}z+Nr00yWS`#_*^m6BRf|$E@>K{aXN$fN8{yxQoJNC
z%C*l<^&J{V<rA~7we#;XJ3c9jt>)U994Bofe)?gxQ$%x8++SlmRquJ~jMhl;(jYsl
z`siLaJKo}~H7)I2YG~(4O*;=N+Bu<lPcCR@U`{(3GfF@GXQRwVan%cP*nRQRbsItF
zY^;<I9o=i=;uhuk6~7%wwUIi{hTkk3ZVnsYLToIPA9kK-<Niqb)&RZVQ~7^syBj(?
z)<(X&sG5!MWo&dQEdR`@{ekrI!|zu9k-uBTd0TH<d3auN-f=69_F5UV*-GdtD~nUC
z98S<aq034(vvj4_QSZrC0><dxAS?e$bN*JYw4U^*r_S3ft1b<yylGwO(vVzME@rS&
z=ZA&ZcNTtW%}$keeREMUqjYRWt>=Z?w70QN>wSrZO-YIuV}%D!3k||7R1gl7on)cr
z81d&|3zPd;SkcA8`_>k^G_$a|uDG(Qg<WMV3@BnDoA~o|X6fhOW+JqI;!xZ<_lcRk
zcg%cK{MqrWnbpV4I=7)XbGw;A8_X14W!4#a;Z&0FYPOlrk!Gse%}fu|wE#1Hr<-{p
z?LKd;nNh>dbQox+U0*YU6}LurlE!bNYps+67WaBd?^jk{>vt8!yXDPf5D(WaCjJ(V
z-p^xZjN;qOSrh}L7hVculYS^i_Qk~W4<=eEFP8RFn5})*H;+v0x^H5+FnPmG6F07j
zlf~Um?G@!w4sG+l!tB!~1_`@|95)ei)Wp8SCdwQ#vEYF4e!qzydzEY3W8&g&mAA`8
zHJN#*iJv<Z%gDOQ%E=1Ls>_DR(qv`zOqy)S|K8EN1yn{!mDN^U;ZV6RRsICklTGI}
zj;P)Rs(-fHv0UxBs&-XW`y$oO0&4FTwR^hS-(CG^qyF?!zd{uw9erV<sx--x_a<6=
z7T<g`DKDn+_^TKzqv9c*bH10;Of}`v!wYE~i|b5?#<G?6p?_&?FV!@2u%21@KQj+n
zD83Re4d|dbRX(wDFU_&Lnf8Otd>o-`<5Y&XnQ59wZ_VdS#b8O|t1}U1@=8mMo};rS
z3&dwj%^X^7rvFCOA>Y`rPd;!|bA854g-d4g+?1YrU?%r-Gv&l(d^I!Sx8_m#jR!d`
z)GjD(S3<m0-a_~47WUP%&|E&c2Me7#S-9ELf{%xV!ozfJtOYOmbtzwq_FuI&tm3*z
zollFma9@14R%;<>jmp_9|KDxlvvMq_PRXyeZUU8a>HW|`^_LdXiT|!@ZLLnPwU*tg
zJb;yw#jQLoXJuVA@nJnH^_z(g5%+bn()S-Le>|)#8D^#JI4d_NS()f-<%`Y%_=_7q
zXpN83{>P~#E7eo~Z~dR#pnU2MD{b~$nRHC&Z<Jq6l|Ei`%gTy}R_460GV{G~<eQbE
zf2>@{WFtiQQlfxxOF5;gWo^u<ER3qD{F89V(M)`5uyI*=*#}*1-03Bb^stdK#Ku_V
zql$Uj*f~kh&X9%=(0-=4HOOLPm(#|RDCKSAbQX4wH2r*G;$od?SZ<@q8XITV>nxD)
zao-N{tgy1*K^vh*ZN#3msm(T~U$D_yvFx|&HWF_OXN9lPk8C_uY+FTfLr?MYu=h4R
zKG|seRrP$gvHGXp`6DhDSC<z)duO(@Fst}gyuDqRy)d_~<<-6X;@1Lp42A5hD6IIn
zh@D!+bQY<&Vq?Y2O@#AVOWD~c8&X=>FY8`L@5`>qzR7;eUdr~#0%av-%k*3k*<`)9
zPGwwHSr1j_b(OtMaZj-7siFD~h(ipjf2s1>pYrIM+SOI<>#KHlP<zX%-A^(omQp`z
zsz2-0ui}cArl_Cm)!&=y_j~pKy~g48Gwp{-r}#dQ{<*8ZOSiPUra8N0Q*Ot`$TK#Q
zPKbk!Xbun9gfTXbY0Q^u?5A!}jJ4Lrl@&H7FVR>pR2@m;ngkp5VwFdTRN3OIyJl%9
zaaQ&~nRx5xWbu}?)Q&OIQNzVogKT{2XJelJE~ue=<e+?|JvR0<w^5^!=Ch9GO?=j*
zqH+|a<u65Typ>ifkxQJJ#m1m?s#h8=<g>W#fBg1bzARszep~x`%7b)0FHSn8ziT{V
z<%PKJz;-L~8?B64qxG^(@!vvm-dro;aavQ6%BR@HV_{Zi2Wkz?uu@R#=91RWY-!7W
z;=m%(nKye#TWXDsYa{NH{`}cU>!^-Zxir;VL7K9Zm1^R|9Qmxg*IK=mQTdqP77l$A
zR(!B<;FWTx;>YXvEWDMz&2`yAeZ`Q&PFR?&^?!bkg(5lwFm|KPvI-l@ESC;mWZ{oE
zGbF)6)>+EOMp$TJv+!8lnKV=Jr|_lPRP9$zwD3%rb7O?c7mq#`4*iziuGB+XytCeG
zXW_NMqS)WUj>bCsQ{TdVY4d^AEM%ypc(tsst)$8;YN4HQu4P_*=2SeJ)q*Xfp8abk
zhqV2;@51KKX8L?E^HAJteQBnd&a?lK{=a%(`#pEe`uhOIvWf{_T{ctZqB!xK_*ocR
z?UZuB$IUbq=H5Cayg#6LLKxg?k6C|%V5Z>?Gu^kD2~cdYW0RSj!s+Sj&AeHsJ)^aX
zm)EFnarpwpA3-b3Oj>Sc#xgUJ!u6d?bgm**v5IWRV#UU?V~fm8lvR|yOEGg!c35^w
z_C!`l*F9uwWrg*8tgO7=KO&o{^4h7~vMN81>dB}2Dy!Zes^1|FxvaJ{RJ)d@sbA6<
z`_$HPo5dSj)o=CTg!-~gecGnJ9akS;957Sru$d9+`xcEsag9Z^#-yOeX5|HytFg+U
zF*|<4O!93rq4$(Od?-$PV#XvsN_izddn<nWXr|W}Gb=O?IW-?4f5l}PbY?`k#qv2U
z9LufqUHP?#R#@Co+`<**9JZCSkg7SJr@2nnoUasb9cX0Xp|~rLo3xqEU|Kp@I3wLv
zMjRF(4R%ZZ(@B1`d$@(BW2C=4rO(7?*QQC|`B}&pq;lnhqs41Q!WFkgS%{3&p4}XA
z+<f_;{C3+iU0ZEo+<Mia*sk(U#e(}Re2}l-I<DC8jD_tN)Sjzq*DVXP?rSgbiF{qW
z=PNBa>9gJy_YMCe?WeWWE1OkkOZ2yd1r*0A7OblER=m8G>{YCMQ;z15;=(gplbe*Y
zNibOPZ6_Vu*-8zq+dsXnoE0x74HiCVO;;Ri6&{J(q;tDyy?^mn{3woWVbZ#{>8xCY
z)^N1;N5qvM=4j2&*Y!nKnh84+R#|zuPG<==Sqa>x+|e#8kM~JeA68w`)&|9zozKZG
z>H9VDtavoXJ=G_CTJuzAd0r|e6=og(AUyh_y1$EGe`z1)uayxQg}cJHLOB$7=C+ZL
zPy0CqZ9FWZ*t59e&{8%&if?Z#r?o?zYZpd#6z_hoZDW2t8x0x?D;w*xnSQqrKDYWm
zTs60`v9X<UzKRzfbW(X;gzepI`g;)@5yIe}y=`RZt34xOaw~E5!T#Dq8fas||8RP+
z&fE_b-VRfHgxzaKsH~CVesOusXdB~%>9xkHOqp|>cz3+GLRP|4XD?(|Wu=7uePjW$
z7+In$O6DW$CMzI2rRS#0a>!=u{ai9Xm3KkqmXZxnJvP<1MD=b`{hQQ|C2EgN?HZu=
zl^$Z_lG+=jb{85Ty`g@Ta<^&kKw3imqnDml%(S<=jc4MVOkMO`CmTgOC^xRL`Py3X
zmqBrt#%!#{u9U{`xW;mv#`K5A_J8L{erc?|tE){_#DkS=%q%ZGQbyxkQW`_^(@pa<
zwxGCG^A@c63)DP%XO-s2r14B|Bd_$+UGdhkZ&pT&yNb&Pj=z!al27D(Cf)T&{B+;S
z&fD_E8;aSk$bT-%PtRKUdrH15|Jo}*D|kS@v&YH?>9%iMv=1O|^OH}mmv26nj}}Um
zo)gDSNK)P-QENgxcR~LAR(_q$VWphKN@MX|=OD#_^8E=~0|8U4*d{7>GG3fETH0^8
z_8YWbcK5e(w6B$O(v~;7DNgL9HPKFM3i*61?I$+V9=+CG>v~q)YgzFYAKEG@b}XkH
zODXw%F)Nu0E3V9MrGIX#&V{OfnXSB&rmdm1?e(AXsb3WzO6#`Ox{nu6zItY%^JD2=
zVL}1rT8-k%&sP*5Ueq}Oai-sCotZl!Ogo~pI|s#ido7rEiPyxRZ=|WyHdydqr!s^;
z<yR;UU8?KCr27jj+)k377f!v4*B*;7t4fS;OWNEl9NVY!KbeGS{Y)w&RCP<c8v`x;
z5atE@SjaJ5SUTnZu<+9a>3HGd)Nwj1G{!>lQQ~Uh<=deaUJ5%u3{+VI6ythG=l4_j
zeJmX5r857qFtLaDzMJ~nRao5FLf1}en=shiUYg*4TrEuA+*)Viu`u4C_PAN-(aJ*K
zmeL2}aBFi5>xJLXnksgd1vgRrAzp7U+uca*k)3O3!CO{DcBX;yXtH6l7P5-6VzLsl
zYO;2+39<#UJF@C}$0U0y>#wpd%Z94#kFwdStF`L<A={@mM5`?m)TTaaTL-nVz1rGS
zZ62ex+ti1R>dW)C7HX(({_5koj*9)&=SAY1Vj6?w?rMX0XTQc}WN!<(`&u~MPn`6>
zantyf9i+U1#`B@Z^@7It)JXMbw76)j{A9dzk>;V6w}nBI#Uau{XQ%7$&V4P6@|V`p
z+!fIr25T-~7}bA^#>u9>I5l<=;yUqG-dXa$IK^BE7Jkmr9-RDR<N^z&<uCVAEi7NA
zT*gZEZH?l&Gz;J5TQ@eV@7u&(J1r#c5&!Q0zkTw6qw>uY>ZklONPcP&zeQhG?(>>_
z<)-?0M`L+k^ZQ7?Cm*lyQgii2?Rsw^?33cZukw)}8n0g(hjdmNWVA9Mi?prQ%rfO#
z&g2zOi2sU9XHr}kp!F4AR<WS;=lRN7ms)%IwFc|em9A}|d`)93Caur8E%l5+>rvYE
zTzf0GwT7Q|)j7BxdZ(Ap)o6Xc6F<HfsB_~(gcVx*`$t(>HP%Xur<JL~g&vc&&p6G>
zcVWdbKV1)$Rt~mOAk4~X@n)Ff%i6-0E8&VYrKt<X=>1q>Q@oW!!k`ZGtQ<@hZwi-|
zEwYk(iO#qRtB$Wwe^#q6YlS&!;_(fNGdF8rW~-I)+qIv$Q~0-AF|Bm`iv9XLXeIHm
z`gK$odfbZJN$GrX?$tBmX5nPF^J?P-Vb~?@jS4?cUbWKay83iO`r($9Ew@$vUB%A#
z)SmlRvWl16KT?|?TUqo(v4S}I>NDlao(oG~XsljJ=fAR&_FCt1h1CPziof3p3uTe-
zl}r1e*g-b#qsCA+`IGt}>nVI+FU#^p<0MOzot6EPmHR4umvxo(l699EWL0FDWY_gf
zs%(_3nCz&^@sy>P%~IJ#WO1r1^Z)8o-DlN~O0sEc(-yVwt=d^u)=6z1r?v;H58>)d
zl=|dU-)5?hW7O9U>T?<O{p|xQ+cXxw8k1TYn_C(qv&O3YO)EPzcAc)tZ>}f@a9Q(p
zQ94NDn|e-d)p!rrxNkmXC7tG>qvpe|dD*Y|`Jj0!eL(ZLPyN`VGbYkW(L1EGw&~q1
zR+etkcyG|$rm0P9rM2V(gI8)kms=^ZR6e;_{Z3Kbwm@~rZz{`wo+Zk6;`KYuO5s^*
zOO$xerFMpEp6wb7`CvY?#yw1a5Tf~;sd@vf<n<FD%@DUvQ`;u%p11te%gWI4dS;9j
zFZueL;qvpLs&|l;83VM=+!fdL{lE1wrKj$9Q!b^8)<{SBWqa{p8~GpdlUCy87CNWh
zRQ+tM@*3!VJu9zjtGt@x=W1FTRislZ$v?|WdzRIBmD1RkuyUiQ_Ad&HlMBkP^NF+b
zsJxv2$C0(OTDg`<v26x%bvo7iTlnx(*d=@@^-b9HS=jVZ=Wv7_ZQd&H^jaMELii|L
zS^LC7oG>QjfpqjeVWDtm$SuWpH!O@07EQRKJkup%)Bp7MIcf2K#aqIx5~qZ@!Y}JF
z#jQt#QHPbQJt(XezJ1#(9un5=*d^Q&?#<qAA*V1fe2d};;bGE7<;aAM$Ayue>l7ob
z6}PPx7OoOU3qSu`u6x4L<fXc{M0hQ1?XXz!g>bfhia24R;?4!Cf4;aQS#1ywubn5p
zo+~_;^_!!26UD8<={B-O@xp$Y-|YX7w7Y<+s%ry%ZwFz4ji?BUg`%P$tho?7u@S{U
z#R9Rr6H&1R8ymY5SaaLm-Q9)VasJOe?;YcgGtM3Nj(fjv{06VM_u6aC`NW)SZ;<Pz
zen;WcY<egPV&5$G4#<I{GdUg_q7XjJp#Neo)?z7^U=?=YBwipVk2Np=+wl#xINm~h
zMO$9y7^?HyyWz{Z96}4u>kX!Jo|QT0M_9o5x8gbqa!pULhwGckb@t(UTXEe%Tz^%@
zp`wfj<KoBo)McF7F<yfiw*<ydC(-j5OIOA<gnksy7~f{BJ+`uE+Qz-{?W|{*i<n)E
z$!_*d%+ZN`Tmy5qH-+Ofhsm0Le}G=fymn!Je=^VWnQtHF{pLyfK5<Z<c({9x`<55D
z4}Xbu%oTd_Rr>jL#_%TdK`cGE!y4oskEfrte#CwHC+zQ@(N~GT<HX^H*IeIQ&OMEJ
z_`n+H6LbBA^ZUjg@ds<EU#ypYv#$HgH4)#BiSs+e`?W08>TJC4U`O3`;B#o?#4&Q?
zXdXTT>dbwceDsq7)Nb<U0C{9{ooMP}6Zsus6U}6DY%jUCi=5k5hW%DK>V?-ta~b&<
zPhQ4Vp`TQx*88&NC1=}_yA2e5B9Occq9@g2KUSOCUYB(?xxS2?AK93iA586NMxIg+
z?zE(rwx+I7BkHuJ_k^)Gq;AZkel!nfP27cZ>`GngMm_IAZ=lW$kEG7_<~*ZWZ}+9f
zP=_W{kMa$oE>W92hfXv%4CCtv{ydV}Hkvi`81|rJCz`Ftb4?TIr;|A6$y{d)wIr6k
z?NshhO{4Em=e%anPi9hgW>I5jbM4f}GjkbJYUSto>>c8%)eArk{fm!_SeH{%Pb}ee
zsjrilO*F$2sr}0*nqQGj?H#g`duXdz4`AwQ?s=_YP7tw{nuhU7^v-oW7k|-rJ$(a#
z)bT`oL;a163vQyoCVCylV>2${1F~=Co;FINEXu$Q&Pa!+Jmv_NqAvoF0f#u|NL0i<
zUTZQuafEYdi&vb}Kz!#s2jd;*9FB8bgAWq8rcYd3eJtWypK{G*5ykZ<F&1|jlN_kd
z_=Gb~;~B4IjN5L;?*wCcErGFNTpu&OGS2rH?<<V^F~)xv^RSfp7|*<PiDRucoi)ca
zdO|GwsVNi980N6)WafDi$C<!9GRKX_O*Aty-+P$*ZlhRN5eF&5d2Qk%6Y;T{IH^Ir
z+$L@Y^k>eAp+$WdFJfwM6!-fhS%>u`E_%@0y0O=apnr5>Pu7{S?!@tl&tt@?3gi5U
z+tQ(|kwUn}*7PT0I<5IcvqLlDhFJG&Lf$lDE!mJUuFqPrF6Uc^xFA1D)MVXLgFG>L
zyrKsOFbDn<&4qr<i!b9>m20ZPxmKQNZt`Z{$-PNl#9TS<Z<J*nQJV4aBt}beEDz?P
z1UchIUKZn?sw-=dBE)@R_QZvFU!wqD>5=dA@_lF4PI)+1ZhCw!#y1D?>PSx6lXrIX
z$83yuR`M(hxtobKLPo|j1M!`Xd$|9&M@pU9PQ8hs?zsHqeU<O@FltfDuk1spOAn||
z8$V7khf}K>y{E@fw|-N<ZqZj$sbwozt52n_4S7L-qsDch*0rI}wx;g2dCZ@wfju9x
zr=T8AyH78nHp+Tm>SShApk}te#U6$FdHe=@Qq-cJ#$KCXUZ%FXVK8;}{AKntm_gnB
za*@3VE>VZ;;qZBCH%?HSo8uvMdJuA8(;4=$_(uI+jn;6)NqYKJG(!=*qsAXWBF3OA
zn!tcJ%D@w4Q5k_~j-Hr=wK#)sD8=!@5Ra=U$m@k;3(|2eA=rUDoZk>UKoidU0IG2v
zJ5Y)1+5?m8JcIUJ_b0?L24xwKvlzhG6k(iBV-#annX!9|jf`b)#<VhH`v<2O=f#Y9
zAI82ebKu5Yq-RbZ<0SL5gLzuUe8n+uW0}9f%wr$sGx8;CqE~!<&7a@!{kQ!6JNkDT
z$9vD%e&C#mjcde6+GlzfF;j}zsq>xvIlXKu@wAn=x<-8c`@<L#Zz06p<n-h-G5CU5
zES#AfA~q)zqZYCHH9L7j>_$3JZ;0b3#IqZ59Zq~NC(a)@v92ZVJLe<!$${tOLK$+R
zH@UIhh5RE={EG4(2zhg`IC}x|sJ=Trj-0wkZaI@<A>`VkGW0C+&b2%_K^`Vnpl*?q
zu9c|y<mf_j^{Nj!RgGRq{!So|Q>v4%<a8;69!ZYJk?T5;H86Q!xF-7n>OjBR9J>y$
zO>KBqk2>Cf^J~aCP&c|YW`EX%zo(YSXI76=SFTfEp0}VMQEUFSqIXbx9NX}^)S+C|
zqa5ux2DK?YHR>x~bl^GEtRtP+dxg_SsAEIAa7|s=b4Bp@Zq#h->(2h62X(F|d!Al=
z59=c7g;CU(-qcIXil!b>E7P#BFZHJ%>ukvHdUYAVdK`5J@_Ohph&qiv)Y~*f4dIw*
zJCyng-(mD<WEswD;0TJ0V6T9~$Tf1J8H#1N50_D#8>S)!&yjO9_ps3deGr4i*oeKb
z;qZUtzvX-Kck&o{tUO1aE60#y$uZ^F)6fRR@r>6_LRYxr3g<Q%RdAnko{Z8s$+bk_
zFV{8~9@xqCDjend>*EyTQ5OdpA75-@yky*B8NW}AV_Rs(wJ1h0#y1%6ikQUM-(Vg*
zF^D;_F*jM!h`Eyc3g?+SN7Q2;$1$gSncLUQaS=3TzK1jKYncCY#KD&i><eMEr|*Pu
zPoy3Ft1a^%N`Gs^^Fru9$lsbi-ipVyWDnkg#}ao@&A3-j98Mx0XGvTVpR0(|jl}DY
z1{|Y4IY|slEFU4Jj}zM`iSbj!`spAL_os>fQ{=%(MgKSGr2#zFpLIxe)}ek}zb|XE
zYV^pe9M6ZmuR@=#%ve_9HN44#il_iD{#>5#mt!qamdBQ1?#NS{C&w$rYn1$-_j0bg
zGfySR12=N9IP+7Cd&DSMl<{<B9*U5!F6?0o6MKcofr8YH0^D28&s^vGpFJ~2Ue<8V
z)Ey_*40*T@l$+Pd#W8cTo<v{{V#$%`Ik1McXH5Zqd4V}BJLi^-xy?$9VQ?1CF*D<f
zMwvKHMq(}l=YZ+yS^uPCU4{kJy|47y5TsBC-7t-s_>J1w4L7KhjUo5A6jG?4{?OFY
zS~yEx4aE!k@o?ls67@C+(x1np6wXtNhr<&$sm*byjdak|>oKSadt9T2uZFy*R3F9h
zo7#R0DOipv7=UoJKs^M)AAbLRl|Re(<?rQj{SkviB;y8tpa{pWg=j3sY5YYM&ZRfj
z;|0oau6?i<8Muz7Sb@)wz0xZDLwl}W!;P_+f)8lV7@bA{W409@jNwugU`*%3nK6z>
zA;x?;N;3z$P=oonfN<tV_Fb{eS25;oKUy-6A25qK^=5vrU>I{<lsP|+e#C$av2YSY
zi49L;<QC$HmmuQiJGK%>J%}ea;_5CI5@W52x4gvNRm2m6ZHUFf#N<7!BtE+ntL2H=
z&qyJDClJSti08b-^?j@-#s?DXCNXbM>|e*KV(bOT34`3QBS)@dHTlxdgStij*q5U2
zU=2CdpWKqqa66Rcdst20^(FrT$iuAU<0UL1H@lIe70A`^I6&UUkiU(|V<+<Y29}W9
z9m(<H<oYA5B=5t?|Dx1^J6J$XXhCgoq(&UWs6cY32DyeMLDZs}^gV2;Mc=JWuGOIi
zAgnIy`+BTX(WE|efH@7AgND>cL^h(gH)g$y%1xLHga)(T#n7hwT{Gqk1)9@y;MRg`
zgnLWQ5w5K`H{@*1y(D}?j}X@A2x>zuhf^rW!fp7sW!~@wP1-Sr_<@FD)J;5xcY9(3
z8tFUGTQLU7_=M6OsY{pv3oqf+iM<p$U@Q`mifed>jN!~VJWvS+YNH{V{HGCL>mm?U
zQ3i!!hp!yt0ghu6W*{1kPzvdAjq})mk!Xklc*OZ`KwnhB7p`d+`k@@2{CC|=_?iye
z7>f?DgY2WikO6BMyLx!Rcus~JQW@ixc*U5HMsBQRF1(?cn+CYTT!rB=bJqiJn9FFS
zF}Klp!#wxEW9Gd*t`Y~0aEQ35iuJ@uVN54xeiJ)#kMbt5R0lhVts;ma&fXJqZD1q*
zJTQ$|d{11q#NHb8R*VcJFHQ0ViHdkNxK>yJ<UWS`lMB^(UCj04`M%@`HdG^*(6uT(
z)Q8u^uqvEuW#$qyD{&p(tR=9PT+4{?3Y?1<kHv`c)DrU24-3l@Z{%xRNM9_1F`mp5
z`CJDZ$nTsOM6TZ^=Yz0;{CC1A>cNZR<RNUum_IBk%DNK6Tv;O&;d*e%g*bv$m^sJh
zLc|DG79?M=qyS@z#rb)CEYHW7VPjr$5UI{QAD5lD4!qC9`UOr%%1!LzN-oyw$c8mJ
zxet!VIaq_BG|oA44RFOt2YM{ramAkaL3O;hV=ar$aK)YMoEtj84KK10j~I?RaK@9Y
ztUWLlo#2Z+c$bB}JvLzm`a|AZ3Pc&?LneIA%-RvRZ~-T92pXyXk^h$O$=}Ii<gxM`
zd9EBojwQ#GW6NvEYsqWMYs)#vxyU)mxyd=kViz7F7uQe&1F;VGkdJF^ifK53tc*on
z#6s>9=3%Ttu@Z0K%Q#Mwv6L}od<V-I%UCn+191i(%*PnqhA(pzkFN+}?)Jmwzd3!*
z*Cx#I9u#HHWAPcCh=a56CoVRi5OFdMf6$lMd4f=4={#x^TdDXzVvTq!N$f30VPY{J
zd5Fy!kp4CWS%}+-$VeQIM+V}0JTegD<B^e=pNPyJ#0s*NWWM20isK-cCp`qtr8zzd
zlpzn`QkEWpV&xbslqgTHfQJ`(iBc7aUzDoISCsT7c2S}ddmgw}CMS@;3i*#5K8y!4
zR;6~}3wl@M+R@IJeJJYq(HG!Vonyd>8Zr@|(ItS#KpEr~@>6rh;|*Gx<UfiBa*cR}
z#x+=DAQv^OFV3NCP3jvS!M_&gg;xly&7Kj@;a7+A#0_}VrM4p#nd@;(%*729u1}4{
zQrtno2JGE16DRNwJ`H)l2upAle^9m&af9*Lh|BnaB8@o@gku~Mk%DVTL)Iod2HvQJ
zR_KcU7>y~IjRjbSl~|26|9zD|%lGB)<#F<Od7eC9jw8pD<5q$zvg0GKdlNRS!en$u
zU3ee^?s4w>FdIFfkOxn>*1d>9Yq;Y*W0HbNXbflEV(gY793}9Cv0aVMke}PR&Dh7I
zDYD}r^D-1(c*K0oM_qhp9@irj*|3K>?t+|1X70Pf5qpS<4#<p+#7Q%JC3Y6Uz=Qwd
z%AK!AiL(e~#%f}(CLR)tW8i}Q#AqvgAZFv>iNnNk2Ye^4=b#*p5$hfCo%o-PGB`|5
zgy9Q05(f`h<V`EQC66Yd2=<U$!FWNgjYA>q^rElhS$Wn+D1=?*cpP4p<+&&hs|@3T
zuce7wc;mb$YXvxBb1CKl?@AK4@Wy2iY9I<hyEBH6_anEKU>@<;jr>P2eiUb1&=kLm
zG5!dF)TBK{i518m^o%QGhRS$Rg!x7*IO3QK*8qQfE6jCZ04n2iA&!G#FpvQ!3UaP!
z12?=az&v0wTEZP)^0T(XB1EGW3gc5g&IL)BfKE_w#lO7FEskOXW?=}Vb~k_z+>i_Z
zoXJT%#1))?#%^rJTCBiQEW*P7$bZZC<nQD$o3INOj^h&U<1K!}f!A_{H)^9T`eF)J
zAO+X(5jnXAFEl|P%*HO<z#o+0`Ws*Xmf{3tA61<33dU$`!F}XrTx(${HscWrF!sTS
z!2$e)4|CKHoAC;s%wcyV;W<2+-(J{+G|2o9g@ug7MSaY|4HP40dSVA8mg*2wvvCKW
z#M(d{L=Ivw46=^<j=IEVJf6abn4N^H@F124<2VWs<2{iAiTjS&j*R3(D<t6u8j>qZ
zk%k)N&s;o3HS#JJw^5#48-t4|K@JYWG2|yNdtg88$k(>mfS+hU9xucTR3pD9;WCPm
z^SzObELC`K0!#4%m3-)vIEoxq$vrH?Q%FtekA3)q8onG8Ct&ACZGhCHvv91=pD`83
zk;$JvgAv$`G<XIO=SaX=WHeakAPR}NhzyEzLO5nY<2CY|tg8`)`LOT=c7g1X(E@|9
z0Q+$h-;u8d@ql3T!bB{^Zk)j*e1m-uIe?0&foAB0XpBG%=0Nt%Yp@x+AT{5H!#IW$
zIQbv>Z~315ojgV!E6<VV$}!|va!fh4yoS7%yr#UioP(T;oRgfJoTHqpoU@#}T!UPT
zTvJo{pdfy8&G%qKB1WS<{80d(8ME`)0QrA=_`m^=8Rz|&fzGIk?6}RmY{qCbfh*oJ
ze<_GXYm|V@aWW<$7zOc&SlEaG@J9xmBwl8s6$;@#@w6H}P!8{jwVfCYU;HE%Q!yGQ
z(n0og;}L`mI7BRuM-b9O?w5>#!XI)V6(dj`-=*JSAS&TKxw8dPC<Ez%vgYgt4?H37
zR-rSB;{iFDh>j?V`{ZjPIzra556R_~=mHNsC(qX-5?=T~4cLXD2taxqqfSgiGvvoT
zYRDS&h7bNwUyecgXDCYG9rb7bf3>JNUyI@`^(h5Y5sK3IN&PyFrRako<ijgB;so;%
zi69h$+}k~kH5iL_s0L?zC`SBX3uYi1!SIGNz7-{2Z~$u&hk*z~ZB#%ZWX1<qt`pL?
zQ?LPxFb$*77hMp7MhJo*yipo%a6x`JAr~BB54-=!e>)%taw9Jap(s314pm^F4w|AJ
zx?=#wLiRyRu^G}+&fx(*LasyB9$u)4Q1nF%60r}L@CI2KpAs+;hG9s+9$dv2<oj=|
zL-{%a%OLNiJ%t@}Qvt0o0xNM6A5ieWd5z@jeAw_3&dk4wNF?A0KERb&X@ucehwI2f
zO!*)J^KlekQHuC$gIGv!dyAs~#p(pU?!imA5XZq7kKK3y7vjAsCPLm<c!Of(L`zIT
zD&E7LylI2!IDpUaB)7sa3rFxB<;cHIn1|!|iSp!VC(Ok${6JaqxIJd#AU?sJTyKTR
z*o)`LPd%uM!B~SU$VkobMn}k+S^DO4I8j$jL?Rvs@do**KY{3pIY`DMWT#G5L<mM<
z6;9wSa#PoQ&;}#06dL#O4@Iei3hglh3$X{6@DACjo9<9(gMNs`3hcu<Ji!m-pys;4
z2ldbvkr;{TSOTfhvd@s-eFYEj2H%jLI&KeV$bQ5fW#Nr#2!QnZTBwT#XoSXS@*nwc
z`JVipJVqWX&+$i9$mcc6pacp-_T+X*hp(K&Ysfjtxyd;uV-uEPCdQx-I-oJ6*OW#+
zWJDU{a0^GV74q4T@rXnV_`?k{u4#<#RU{)36VM$E;f37z#2j749wcBWWG<y&6~H&<
z_!@R$4*H@o${;Hq6CXA##t<||d1S*QVk#99V|`H{ZumtEUcqKeLVNhY5l@L*+1JfS
z6l$UnJ`m$4kch!(49SCE<ijPb#~8GN<V<>8Cx13$0zx65-In(y?vZP|F&$k{9l7y>
zytE-6y-^!Q@P!;ci!~U9R`5brJRs-yV-BKF2T~V)QXj5DJ}Wm3-4Fy<{G^^-!%oaX
zZ!|<{WW_UT&{3?$M07<hcpwX2P`6HD6K0}6TEP!RkO9xBcW1E^3o#bm5sYdm2Ko7}
zPt?o1IDws5hN+M}Z5K3!LOB$M9ez@GUqS8>pMmUqw_z1zZy`N<GzOptI-n&QLhdP7
zM`e^lNfbk2<U=0hfIYGy3o=3O%Vqe#kUz`!<?rQj@_2ckJYS9@$CKmA@#S^o_2hNs
z^&6lC!q5$UF#?k@2g|S#`)~|b@Cedx(sBK{Pz>G(LJLG-2xRP*VjGU&2HqkAW1S!6
zQ4_NE>5CXF!ycT&GyH?>!MxEB5g3C-*o_N#jjY5%37BYyp_q>ykoy*IVgFxT)#Ymh
zCSny1;UUryk3}Kx<8{OsB*KRK_=lpzvkCc(**M6W@GzbrGdWNab<qQ|@7sXWcmqfB
z#|y!b_XcM}-lM;a&&W&ORYeGfVj+@o8^2JPeDy~=jKE@~;5L4uAbIYK5DdnA?1Iz;
zSr6x+MwEl>DZ67LRzTwxz9J9x#S0A(fw5SO-8hezkX|bPCXUppCg_IIh{qNj#T|S?
zc4}Nv_@DtgVj!kq3ARD*XUS*zWbgVD4%AC|Z^sKJg3%Gt7=`Irgmu`1!?=Juc!AIO
z2RmxAGhE>bZ&XJR8lV~4pd%s>390FWFdVWs8IMVrf~lB}8JLM#{|ot^{GB{T9xKn0
z=gKkUSaQt4=m+`yVmEX`TeLtU)ItENpe)=_5IK<<Ke?_nJi!f|!2#^VS}epg$T;;u
zCp3fXspP(Z8}cAM-ZR$saSqa(HedlJp+97<8o?Lt$c5j`sjQnW!NNMs#VB+~Gx)<D
z(!;(IFZXc*+p!Si&=bwzhvLYFG~(|XEUd;f^hYQHA@377;3Kho0~)I_6@Aef0dPY$
zydx*BAQ{Us8Bu5sU$`O@UXfcDum?*p9zD<mRZs}&AoonqKyr2gMk4}^P#JPBH9cOC
z>*uitOEC$(A-&Ro2ORO0nsFZ|upNsq0lg6dxsOy9d65pUsXy0n5Sy?7vIg&qFw{p?
zlt3>0rKY{XEu6q!ti^mt?Hh=$Xo=dWic%;5JN%|*zQaRY!Eq#G3sxc?vcDaRL5M^+
zLeK=Y5r8Tv2X_=fKIB9;WWaCg_g8$t8$8Ej+{bO)z*Ss=)cbQdgVT`SfAW7J-;=+S
z$H-&lIr3aNh8#<dDaV%Akk^vel-HJX_=WVGlk^k0-zT4MEDSf4K_yg25E`N-+M_%A
zVFV^&78YYI<bI)rleh{QPZ`%=$i_J5MG43~b`y;ehDZ!YEEZrL_Ce<I23|n!J=!tX
zg;5R$nxGT<L*gSI>yV7Icz{pHLQEAzIY>`yj&2x^8Iaz#2d8ikACZN)Ed*Kf)r9Qt
zB(}#R0h@3T*YFzY$cMZr0~0OL6Oub~u?`k4;W>Uo)}JNekEV#gaLmMN?8iAg!dKY+
zm&=v-S_f?rjq!-b23WWN`T6~?$WDE5K?MXs*2?npRKqY0OR*KQ&%BH$_<}6dpZxHI
zFY2KUdSED~AOUN!8%J;%4<YsK5A3OR1yK@}5eWG?%1}tp?T1l_#XKZp1EdGra1wG4
z_%5Cy4f1)S^witz$c=(14o_4-RT!v=`UplVw1w=6yP_w0qaOxg7)C<wxsAs}OvV&U
z#WYMu9A^A)$oJ*%<#F<Od7eC9jw8pD<I3^nbq1q9qR|VorU*wELeLzIPzQmij>;$p
zdH>55`H%xy@R#wB-t!jnvvRj_2{LvvhBB5LA@4UQU^=8P$vuNebV5tiLjWqm9R(os
z_m_E;eb^IR$0<nP+6q}y&4s)VHv~P=4vk>I3q_F&=^_2>F|Ob!c4G}>{Wb}M5P?>x
z4Ig+QFEZl`@%$85aRfWD60<QDeb51o5rDENgzWfE{yfJu9K|lkebG4>hrW={b4xEY
zAoprq-~h?hH@E}oi>cUzC76zph(Z_|Apr6oh%0hJYQqO=#3NkB5$wiVEWlKZL^L{~
zIclLQO2Y*?kpW+*O)qd8=OJtIz1WCE$onxd7>Rz6I@b<OQ5*j7Mky456YP*4->H@I
zzRok;h3sXejvj@)Pr4ghkc8z}h&h;!$ry{_7>GXTg$PKEZif)GKrrNeq`Ihu8c^_u
zAF9CzmEnzwr~tYDTpm*Y|99l?<T3JCd5%0+jv>dAW6H4uU_$ogwNVdpE^<zCZgP%t
zt{u@8JrRuo7>d!5UNaT5AU$UZR$&9SL+%yYa17@lYngkHaearckUds5#ymF)p#-Eq
z`9OM9eY8M(bcf942*~@^v#=Ozu^n<B@;ENxE+jraBOUSLfC7+vlob(xdT0rWwI~dQ
ztlj27-V2c4wjakJ@%jL7@e^5zWoHzJ?D70j53SG{eIWS|3%RGV3fmyP?-Z`%2|nO2
z?8&bJkk8Cif{8{5MK=t<Sj1rwk|4Qz5YiiE&-emgkbykU2^W-x4{AW_f!qs<KtGH^
zEaqbc<bKh9NKHA9TaY^Q9>0)<+LIg7N9D6T-tdRiDEZt$D7v6GhF~mWF$aqwYxm8N
z&neh&9OrQz^0On)k%n*hi_FwYS^qns5Q;<ku+-Bks1DgD)PdC6W@rtmy`2z&UWkV5
zE9BnUaE!)yNWGT+E&Glcn2mXe#{w+E5-h`VNS$AaRgnG48c5&&zaxJykCVsC^W^z*
z9J!CT6pJD6^~(BTKBR}tLL8<d1`{z3qc9AE&=0*KeMYWPu2rsCu3g4J#-c8Q5P+(v
zh%#`8D+(YF?2!q781Ju;@qdAbxCL1YoyK9LU?(<W6=Y85Le@_cFdY5R105mzv&N_e
ziIYkwjbg|TM`XkgVk-?2YjSVnB924WaMIh>Lw>$U;&dA1vn@l=8(knV9gN!WhurJ*
zfb=}c1KIQaATQqGF>c^24q-1gVFltb4U%W_UVSe}FKmhWkeu{ES;%{c`QeC+_(2Y*
z;VEuI-t#{W$@iUDk3`JJG>pR#$i3FCXou#gk3dv|)D;i7zzKGc{pNS-Pa2-%KCVOd
zpT}XtUTj4Yq>f2%oek-)6Cgcy5Tws`ht$7Nv_NCjMGg4F2NfXwS88Wb$bKL%a={+5
zM@Wx9)Y>1A-uwY?@e=a62zftM_7t}vpO?Q1sngQC&)_7ab{~cG@`JF!LJE>0_nP-X
z`n>E@c4HTI{y&h%$YbR>@?1HF97~QV$ClTS*OJ$i*OqgTbCGj8jdQq&E4YqZkp3d~
zzaQfn<g--oAbTd+=l{fC$XZ3l#|}B+jDm1Q33#GBDnULwB7G?c(wmw<`cqrT9Cd^A
zss4~&H5$^dreiJ^VFlJf=3nkdSdev=+>^Y7n~*;C9BKH5e~^AAYqb23_rpt}0wfM)
zA6FN_2th}5M;{Eq7{p*E5|D@_Y{g#Ka2)4x9ry7ZY50bJ$Vv|7gyd9FltKkmgXCRZ
z1S15Jlikq=Lofz0n27`=A_-fu7d9Nnd0fYRJVzS7;UDC^5vdjO*&Mk~B=w^lDx*52
zf7XN4nbv5Ju82f`41=t_V-N><A9Eq3Zmq#a$j@o*h19jfIEnL+b-eW2`*?zvkb7C5
z@Ew1UfjXHL4#)*($j?AaFP3`h4o{RrMN~mGREGiiJz6zU2ldei(zBbRC8SojL0g2O
z13IBIx*`JI&>d3Wd!iR2A)mRBo*(`Hk~~(PBhQs%$g$*@a%_1Gc`bQOd2KldITtx6
zIX5{+IafJnIrpY$f`+IES&PX2-b4WWP!*LS<5C{dgFH|iMIiUlWp5>G8|g{eks0zn
znvA{lr_V^kD?G&mNUypE=~rhUJ?ju;e)mCo*A}dU?9Y}!?oZ6ZR7}KZ428sy+^dw&
zt8_wJv_um~+yz1Qa#bPytqj~Dv04DRVTX+PO+3pwQ2L$3`2*a<C7i|)Sdjalk|XON
z{ZH1Fb1@y0Fd9Q3d%~WO&(5@i^uxxe0~5aRMj4cV>=*MP7wnJ;vc{G7{y*Xk<ld@$
z2Im&8;2cii5K^%RvR>YR)mR3(2RjF{*PM*8ke~4wjDC>4XLrc@yFJ>V1)4zmYAu+k
z4j)uRS(Ji&X1yp1BR{0y=7c@6A|s?u{`#+Ge&XwU$bR4zq@F&(L)?RW{_h5^Lh9~$
zoQ2fklQ@o}IE;g^L27jhWX~ZzT<Z63?7~j$z;<kd)b}me4B4k_{Qp3nC(oDT$noU3
za(sCmc|Cbud3`w#IiGz<Mk+K8;1Hz0$R6ngPT>sB;R58^Wej92WK3jiWQ=62WXxpj
zWDI32WlX=~2Yy4wI|JjM1+w<Zfjr0ux%V#j72Hq~WgzRNN~j8%V}&5pK?6t}NIXbf
zNPI|~NW4hgNc>0~NjynhO~O>n#5^p7#Gvfs<R0c`?11z)iPwWThSRu!tB}~1UMKs!
zmw1OykUaQ<4CF;t$h{T02P!#J7{ws_K*^^Hr~*GI)I>c<{xwGk!VnJGCq_c@Ro1U^
z4|NPCA{H|s`Mm&3u@Xs;_3w5_JxIX;$i1Ocke+!3Qa|oN*3Yufe2b6xil6uk*>`67
zuMXwlYaZl-tiz>FxuGPac6mYW-%34`{;D7~PVVQ{M<YnDZH`uGgLdeEa7gd%j$V*`
zKwk{NU`Q_>iP4arJRVYOCu0hxVmf9(YVjP*Lp&B>5f(%0^-?T@^zr48eez1I!fHrw
zUyCG2otM4J{~vM;IhGt#jxDbtuO+W3uPx^w=OX7M=O*VU=PKtc>x~4+K1tRevoRC0
z9+7=hEMhPT6EF^AFbX3e<0kv6LFkV@ke<{N-OvTno7$r-LLfb=8Kh4&g!HP~khwG=
zJ<AU=&y^v)t2|1>1I1AU1(6rh#~hIznUNlUh%MQ_Nl*I#iM^M2iifxhiO;LJh_g5e
ziQ$8gUbi2+A#uJL>#+vX_aqk<Vm@Xg4w5gEFb<<I41>@Qz0ng92uFK_q7|B<G3ui>
zYQTUWeBh1pC=Cx3M-dc6UgU-&vLiFnLu!TWFTX(U7rlkl6WMD%#9iEk)EwD&o`cjO
z>8D3=2sTKa+K)Zh3F)s=$2K4d(q~sd>fB;Tznu^1xl#wE@5W*>CSp9KR*uF<498GN
z9UX}N=!<AbjqQaV=!UM4`r8Q|5QcVWi%>|74nb?QLQ6>PZjNSXieN}hZ;VE02&wbZ
z>;F&b_}|@rnFH(^O$xBve>~vYzf8uJoF$F+4t0$tU%DGLBPJRjj?OcdyR0z+d+s(4
zY&>e@d~(%r$@9#(?(@}HP%5LcuVAkXZztv9Ram8Zlu$qNmsM9XRaSN0R9AJ*1*x+e
z8mLR-nyV%)+A6=Ioz=9bJypQkeyUdZFx7b4Smn}XqO$j$qVn2JSJiILR8ec@s%_B;
zDxJ?_74m(V+P-h4%076l3ahw5t$Ds#-Cw+2Wof)y<^8o!Wm}u7ZZ$rjCVxDvvd%lM
zLMxqCgU+5)ArY6<j~`c6>uEPtkAioV=jsP)cG)Lt>DK3}cE#6f{N{J6NvV%&<<c)|
zaIPQf(3sz9%<F&Z^7`~<zOan^9AjqFB_)e_t$Q|eOCCEjF~#0o-PzIHmo=w(Z9^{e
zTf;nNzSmA>`6+q%efjy#GN}dlUCxEfea{P<wT2fl6YYwc2Nx7GSGv2I)wh%|$NG4f
zQOPCEF9DurZmYDpw|ZIrJ+^YJAHB?xt1Flf^Lv|%r&KbReXY#DgXLp3K2_CxSi#qv
zHph>D|E{|Ewn>0FWu0MW_@~T<%>&IAD{GkcX+dUZ-&$t9(Y4Ku2kMx^{?+AY{py=J
z`!_JRuW88d?`dS#NZ-WFQaae&(x|CfBC44g9Mjx%S=PerzpbU|uUnZNj<+@spAIpb
zoo-{kI~r<^O=)Ys+t|)@NeDCFjcjk$Z{LB>0(LY#9Xpx*?sPKGuL(Cx^z3XlDcQyJ
zzT3sz6xY>UUM<3WeJjH3J*1nN$+0`XU$49Q+O3EAb!87Tu5eE?ZhBAi(wCm5Z%8k5
z@wQ(48#$5Y@dlA*-D#1g_u)vh)5l12Yk??!rYp+K*C5J#)H2HSZ5?HPXdGp}@Q>p2
z)=}n<ACcyXlaZ!5Gt%_qxwC)vGToN<GEY|TWrm;X$<OEaG;bX5VfOdwVGc;>Ztj2E
z&2;zeX3iZPVLo5i)y#0di+SutXEWc|aP#`tPUhQJ9ZmC62Xp79_GabbVP;bGcIL0Q
zp=RNEZTMVnh&gy)D?ZQC()3AcZnm*&X1?nfY`#lsY&Lz=(9D^$0sHTIX1rO)469ko
z9PSrnekmSkUixkDyBz(^>#=@j-hgW6;|EpDW<x8P12R-JJB%rBmPspPerV=to=@^H
zAHR1aH;b87+7~fX#uhRi7UVaZuW~k%SLQYc#OL7Or?)rPwaZ3b$!sQmPH&d({6~cy
z`>I0ny;sYdzf^}tJW>tk+*aq~uc#-nXH}`FW2&mMsXgiTsm8musie^Ls{e--DtzQ3
zRr=Q)H9mTp^1MDl?T8$zHs|Z9j&BQ9)BPK$>HDgycBRXzSu+c(V{hzLl}X=?5RaRN
zueINBZMw)<d1#PP^+i>qaE12)-@_sTw$<8@Trf2zHLZ3AtKNh_YuU`vR$!%N){#G{
zR>h>-R>!hGtwl8*^!av$^~ta@I$Lc&oyV!39&og^w%SJMDHjK5Kj(2ePlYLZjqgm|
zxMIBSk$0&MeZES^tl6O32XEI6p6u0!yJ#JF_J}r%oz^wNF6y&muj@W>clF+Jk9GC-
zFZJA_X*&GGXI($!r~Y*MpUyfrgDt62X4~!~S#7!N+u0V|9BkD*bJ|Xi&ut4l?_?Y2
zn9nxCC}4B#Sjg6{zl+Uth^uWx?_##bt=w!2z1(eKKRj&lyGz;Xbt!EdoT04EV{SQH
zSY9uiM{EV#)OQta3u{-hb(&Gx_Wnc_TiY)_wjEB@Y>w`}ws9r>Y$Xd<x8=>?Z|iy6
z-)1BQ*tSF%w%hrX?NPF_J#J>&(%ms_Z9@ZXc~1q}T6)#6`A@E4OS@RZ7N0xF7E(LN
z)~0um?O<$>EqPIpEpmB~?GIlUP7Sj4=o4g{S3k&Bw_uQM<GmWTR|{*{yc*W9t@s#d
zi=Gu|v$+S_^j6ar?`_)pZBVvhg_P~aIK#H@L4Yl&T7Yf&B!Anl)75Pw?W)@v*6_2<
z?(1tCw4j=;*#4@v{g-@f-JVvl1%Ie)TlBS(E$WN6?e*J=wtxo}Y!lCT*`DnvZ;N3J
zrbd^w<*rr6#t${ys@^YU%fF_iEmJoSn~R&fZR|}qTk!PawsqBu*)}|JwGEhB#8#}F
zi|yRWLbgR+3fflu$Zz{IEuZaFp}e*dYn^OvUU_T}cjU4StCG`}VW*=l-pj$(D9O&|
zUnIM2#H_3~xAa+Tb^Bzp{kxUH*0EN4+mF`&^z~xD^|)u>wd=Ys`f9{SeVTbMdF{2f
zi+!ON`99S@o;=hIX57=8tK8PLZd})1!>;IQ`7i3>JJ0HZjZf)GPmbx^!wzd-#{+ur
zvQ$05Yrl?3-K`z#@6biBY|&TSZ`AdkCFxncSL-96mh0a`m+B^e7U~OQ<8?yDxqAPk
znYv-t={kJM6rD5sB;7N1oX+etQs2olNRP}Dt?lx3*Xwh4(xY;R>UFuB>qdDR>Zwk(
z^n|>IZd0JD_H?PB^Az{gKBbE5tzL!nvT9DcXpn;rZjxEg+xOcFz46ZS`2E20a=&bC
zXnNE-KW?veaqoKT$;ZW3K;;>h!?3ZILu`b#zib0*+$}Hb_<SepM#}rtmEDq4+0&+W
zE#i{8JTfq4&W>pRGu283#0A9$#GTXuUKKwF+(~ve_BX0vv^ZPeXcExX2wpha_|tE?
z@iT6r(Qo-$qssc7M!t0ij2BDJ8lz%v8A;ur8`X@@M!JdV)XT?Nl&Kum>p4#9>cfKS
zX_;awQ*=pHaAP^;@TihHlE+V#HcaIfUR%YFZm6Q>H&avBgs5v<+N-MDyQo>4da6^)
z`=}FfgH)dZBh;mJV^zs{6V&Pvla<*qR=rTu)$BquRoRcTRnpOU>dU+Ym9^6%b*AJ}
z<?}L8RZ3c^c6M5$lJc%oe~)fZN&PmfSp~MKb;&!_y^!6i*!#Vz-GpQ{I=7_;EwU*u
z*F$Rlk|Qc1?{QT;_M~$Cc3KVZcuo~NbV2=gy{vu=x~kG2zpnn~zNK!pzN5y>zo)LB
zeV|VLd!&NOK2@cfK3Cz<FZrk8UaJA|Z&jh?X=>NX56W}dClxm5i>f;2n_ANKhZ+#{
zORXsIN7+CBt4_5}XXdV&o_`-I1HaEMgV{4Bqgj4xCUbMk%;wEPS<F>;vY3AsX61LV
zWi#EfW;ZYFLAV{iFT&oOzTVy}UB|(^eb>R9)7Q~7|2mqNCg(8y?Q)utQ*xTk(&sYo
z4$Nhydz_2kHImyrxh1z5?2yMS*ENsXbWa|0Lk1_aY<(y5aIBNr<%pB{^ShHdyp*$f
zDcITk+|Sv(5a(=$&`*Z%a5l@NIGdrCv-y3Wv-xAQv)N>cv-xs@vuSmOa^~N1b~f$r
zIhld0oXkGqPUiFiPUf@|dCc&BdCW{sdCXp$bDL8FbDOQt<T6h;&1K#@o0FgY&uQAW
z=P<_<$YCBF;%JUJ?_lmM>R^WUus3_Jw=>^7%5GkE&TbYnvzZsev+{e<vhaI>Gn)ZR
zGMQtRXEaMM&0wlI>CHo9(wY5E|5Z(<{8pY-e=3Ko-;`a%7ghP$N42QUd(|@ats0X1
zwJO}^g$kYZR5eL{r1D?8uP#5nqgFq@sWx4`rg9};R^Mh_P_b>#st@^2sdmSXsV_Ya
zt9O5GYUq?ybv*Nam21du6?<p9imJLreVVvIwL7s^JxaGq9rsF9jhZi3yCM@*tr2ro
z(72iE>!@jJL%$fcE^LAtK6<q3U3suNextW4(<egteG5~I`n6PF?ln|j%$ln1{OW4a
zeQ%Xmw6x0Jx|o_iA-}r6E{EEGEVD{V`C(kT``qaD<*M;A;}PSe-3}whez~zc>kOlG
z`k}_Lv=&Cedld|~^Y+G(Y3BoWO^petHSw?iwjJY>oz@jiO=yvj`fAm^)S375Set^Y
zT3r)EtxKmzS`IH~TH8WaSW(+{Sa&`gww4vTYPBl;%v$I2&06^*qkhxMLC39h){pMF
z=tg!Px}1A?{i3Xoep$@W3p3Q#-7hrKM`K%RPp>eY)#{?}`9$h+3;OH+kB8|c)5dCk
z7nH8DI7Sc6HBA>BHbXzYGFz`MF<+O9SfCp%T&!={mg%)OR_M6Lt97>rN!s!J2Hj!n
zX6-j_n;uhZr*`_WTi;x^Pw)3h(Tglg_o#Y6=U9G7kN9~+FROiA_ZoLnU)p?HpFVX~
zH@b0NH@S9EpFVO~+g4rGo&&DyER}ES(8ss<(SbX<SKfQNQo?;bKKn!6IqH$VV|%QB
zXMC#9`99MfJ3QC6fiLvm5ifQ5fv<GO_OEqPwKuwO#<%){?XAAs`<-s<n5H`|OVinl
zzt?@{zt>xSz1NRge9)fDKImn)KIqQbKk9j9KI)e0qdrvYqyA@n)aCheZ@&Nd_6NOV
z#RvVT?FaoL>j#~%?!B&Hyw_Kcrs*v~Y5Kv=cY1cgclz0Yw>rz=H#&dTH`)w*t=B}q
z(tYQ=)W<iz&=-=Q>m9addVca#ow)Id{x;{aKGOG*E?4`Z4$1XEM_#(8XH2`RpZnj@
zOS$H&<8SIc1#jqxb=P$E3Rm^9&6o8d_e<Js-UV&{`<z}Gc2?W(IjwtTJEb4DIH4CU
zIHq@8JEDVg9M*HqgL*|Tn_fKA(yO+l=-bEl>#n!=>P|0r>$DF$b)_%cb^T9Ub;~!K
z^?(N(_0jX|b<gA^J!<(HU2Oa+-M8ZkJ<T^!&v0C-<L@of2R1Iyo`d4`>+18g`=8l5
zEoG+eF(gi}uP{xYeKJMAi=V7Z)|sehejKMK`Hs;$ClA-R&JWV%ocrmUEuwVpnca29
zW1aQ=@9p*FQlZ+hMN6GBJXmK>Y@po_)YiWD0(HM1{`zO`YWh#9N_w?_d3v^|o)lI>
z=j!FEpA0IfJ;yrhjIlZO(ph%eB_Xp;T9Qs55Bg@MHF#^~YW~<7*yg6ywZnO<bl0Pn
zU9S`?xbJpL4N0<G$1JrfPnl~So)c@it1;GzwvpD45g}H<%9>Wba}_N6bS~C1-)z>(
z_b*Z#jyag>>$)iQ(vpbO<l^~LYb=_b(&@oQzrhFB`sb@!JizU4bij|&%K{poITDc2
z@^!$+2ic6o>@LQw5*3Ux6@rYsWm_5U`Fj}mJ`OjY-J5JA`_D4A&0J_qzqQhEa@k~L
zZ@Js3G+rAm)*d&!4_q*2p1)~SzVgU;aQ3wkmipP~mH5Z#;h#}?uE?rxq;pVh+vZZU
zHan}Zp9NH6U=bBCwzzWM@1g8omsbDsdZ{aZl~iQws%mXyb=7T{Qq#u-sUM^2sF?#B
zD6cL})V})7m7`~CmE&)yT5`I*S}-eIJ!%x8+NSHN9&CtGts3=J3!V&6QwI!D_CJQJ
zp94p$#h=Ei3rXXZL&!v>(oa^c*T$%tbz;?*2UAtp;OVM+mKiGZ?3t=$zS$~y{v5S6
zCp~+@d^O@@yz*|hKxNSj)yqPQ)yaNK)ciwBmEoAEwl!O>?#^7Hb{=1;+<vT51>M)E
zn0jkfyKYHp(x`RnbKH8Bkg!2@ShP|3#&1%2r)^eGhi*{`9k;5&<~9|cf4d5Ov0Z)I
zzC#rqxKo|=+NIt-+@%J@?N*Jv_o!ZH_b45{SNXl$tIqV_r+TLCQyIGMSFsoNtM^rs
zRq5Hus?^hDb*EyA3K*E8{I{m4(+^YBL;F<KuY9WNTPIarZk?)TbVyYT+NY{#EmBpV
z8mX#u$y8;ZAyqkEO;M#1Q&h7~DQZH26t(wwvU=V-SvlAzE4Re`szjOn%6`*6b<KUB
z8aHpR%KmGQifXe*t=qI)S>JZ4^?til@BTYg_LV!-m=oL8#i!d;hM!xNbLOqeA?p_P
z?%yVLAZ??Hxwb(y+_hfiiCw3jwoFoI^RHExFRoVUC#+Ik%C1zIPA^v<!V^`s_e<52
zK}%HDPm9#n?hDo1%L(dowRqKk?mTt(*&J1>(rgtmXr|h@El%ZnLJ!M1Rn4wEMcoaa
ztdhD;RN4EFSFS_Hs`T$hszrB)szBR7Rbg&lwK_CP-ObZO6|{9xi#l{vD?hYVgNL?O
zZ9g?r@tqs1e#h!5pQ5!?`QD~ly{)=>@zO`tE$FRso8?qOyHfN;H|09Kh&nd1fEqHy
zNlodMLj||auH5}IsRNb%8v7o7GM-I-Y5XmE-`Kz9igBUxDdYE6oAJHGZe!f64MvNv
ziAK5B^NrKnrW$Ek#v0pp^fKa_wKBfGHjStWWsLp>^BQ?O{tM_k<4VBK!|MZjWF8$*
zXR&8M-o&;3>7KscH(~welwK>!roJjXHZ@264XKq{T}h2H{-#F#bFvzo_Ou?4HLNqP
z&8=mtx>=tcM_ARi#8}sk&9=&2SZu|eTw^ucvDLa5yWi>_eAw!r;jGns<u$9P*8{7_
z+LzYVY@e*3t$tghj%Cm*T4&WIZrf|CMJ`?TfU_=Jte_q-poqS`zqoe%<e{&+meJn=
zyma-(m2|h@s=8Lq>Uz1S(slpU&{>by*4xI^*UqII(<_?lc8y!=*T+M2T%~r}C9Z=W
za6Mf2%^jgXR_~#2wTRSqVbQu<i+=jD-$3n`bBG>yd6<r$JW_Y{9HXP|jMX0skJtN~
zPtbboME!HkB;EbcWS#z6j6U*Uir(@lR;S*cs^6TRrq#~rddKWIU9bBLoxaLU{ovb7
z{d~tPT`*#{9+6{?&b4)pzE@|ietmVWHp1rVTQ}$F(@o~<{3-MGao2eLWLUf&awc9+
z%a@?bv`NsNW+!OhLkU{HO3;7p7U;|+7U+kS7U;z43v^@r^j@HM7hj;`vM<oHUnb~_
z2NQJrISIN>y9B+|B|-PU7O$^QiP!fk$Lj^x=j#Fk=j*=N=j$B_^YjPTc{(t0uHI2#
zu5LSRj&AgAwq6`ITenM@rI$O+(xW40>g?NR=vH6j^bnsoJt2C!j$1KJZ#Xwqr+tal
zee=ianw6*Mk@aJA#kQ06fQU)DUF1alCvt-B-F>`1*nXUL3?8e`4IZtJ)gGzK+Yi^}
zjt|lAh7Hn7N(|5)kMz~yjQg3_k@{r+o_gGeZrZg+SAF7IxL$8`)GwEW>Fu9Gb(z{B
zdgP3j`uv4vx}ig`E?A?H?$oEguA5Ltf8AG8&%Y9=8@w`fz|ZP>P9|SHAiIywl)aLU
z%2+{P{9aavzVy_kuX^ZiscyPzVo|L}xoEdG1$B&9KAk(glYVkOr*>cLpucp^u1A#0
zqHn&)pu05rXEi<g-O^P*S|3-wwkp~^wXCRn*4<Ort;_Bgtw+O8S&h#gwpzPbmf2&E
z)nNNpYu~qZ)=B@BmL9d(x^B(0TKtZ)`uoLL0|t$?N{0`yN?(hxx-@8GHP;QSzLgBC
zT2ck8co8>i?L22o<;ZFsa{iQR?{p)zRsk!ujmOGVZ~vIozPsC`ZpdCDRlmHI()Dr2
zlmj<B_P^iLz<<>G^ZpNSy99JT*eu{+jR^rYW-Se9ae8k+;g1&sQZv2@*!(Ypk>g`d
zW8MuH<I;}OM*Fc<jgx^jjg6mzjf4eZhI@sc#`8UcjFkN244+0Z#-^ch#+xN`jRX4@
z8edK)8X?!#7(1_TG_IWAZcNd8jU}rr<Id>AM!u#ejr{q~8=Ed)F;-2wWt=Maz(_ms
z)OZ;B+UR}%z0o=Jt1<KVFXQ37bn2;@QKdY|tQt<prbZRESH7DaRfKOY^*S|=+F3oX
zTD?8LN-ADRt)A+lCcbf173&sPvlf+5anC$d&a$2=U5_%V{?c;l@+mJh<$XofEJtOP
z-`z(Y^{%FBRr6D0s`#spr44mHuc`L`2vpgw2C1Z^T54RsI%-^{dTP$A`fB;YhAP2q
ztUBLmqTcptsyu!+Q(uR-P>nyfRQWr#RzXKXRI+QR>fNWUYOtrBQlG+<Z^;g-WN=6I
zy>}<IbbPqV6xUf5iR+?nj_;~Gqa)O>Cf!s`kM8Qj`|j%d_8zK!kDls=Q!kaUtCt$q
zAW{vu8mWf1ic+IbMX6y`daDj|dn@<nz14vV(W*@EXcd|mt!f>MR!<&AEANld%HvzK
z+W$UUJ--*NHXMvre-}indtIYdU5{v0^;U1SZbEOhxOi`sV^@?)=O3l|?TJ*KOGc_I
zQ+ufsk9(>b-aS>&fFA1n`tIt@m2PU;=Lq#WTZFoqyQ}Jxvy0lDzO&l(qLUhUq@zkV
zzk}-Bw!K>89Hy=wZp#>ls!HkGsNpkPtLJ%Isn}^PRNo)X)aJ0Js`>6Fs(;4Ds#x8I
zs^8f9YS`AgD)>rml|8Md(*J6x$yox`@Qh0B{OYe7J@8YV4pdWi2|lWO*UD<Xr?=Yv
z*h}4-Urtpp%czU@OQ{D#Jk;o{CDhp&#ngL8S7kq`unPKIKqa@!rxvC-sm#u~Rmq4P
z%5AH?a{HJ~1$$*t7rSIsm*=EY>4y9=GN*nq9KWO)ecfIeF}0o;o7>$pj2<_PxxFqK
zj$O_e*_t0So>V(vq|2LZ=$AW<(R(%<t41UlGyPT=Yu+z18myRSJZd<@xb!~87&~j6
zv8wf8qwR#A#;2q(Bj9MTk?Bs5QTVNo(e#I>F(AE*(K1U;<7l=FMtP@K0hOID1Q<?x
z0^T?;33ya+e88x>O#^~@xCE@KbkTqIkQV+A7A*1gt5ZLv`RLOr(GCSuD_3ol+SG4M
zYV+(1Q)4>rNKIXOIyK_Zlhi+_|D=u$v$wt;&Tp+K>~0<DT+v#+Ai#=At!M2y+tM0-
zx|3CGca-%tcBr-1eY{ouM~v0^P@HvY%v{UWd!glUZJAXwdbKt1$9k*TkgZnS^Ig`R
z`pMSkr8aB&<0DpBp;K1Tp!3$OwpXmEE;p@yVfU<#wI5sGi@dP@K7C{PEd5}0srl7v
zdgG^cwB0}J*t7I{f4)q5rIAJVXqQcY?qjDbj&RVKN9E8R2IbPFy5`Z1>O1Qc_k241
zYkuve3+h}W3+o>hiqN}U_3B~8bi<r(`p}{h`fp(m{drDFz3^Wt{WQF^KEJ<=4$fLm
zcWh8ze;@CqowrxeTd!2qN8ftu7QZX$*6FI~vp=fnJuiH8?z2_(y|vY}>tJ7fxw@bJ
z_t{UcSzTS9tnaU*pZM!V0|Ru6p8<N=AVZITX6USqm9Da0={&!b-VkK!EMrYwVJAOI
ze8<%Jewq4p&On_~C{WKW9H__T3Dk4`nfl5jQ@2hvb*brmZO*To&SC0Yhm=l<R647J
z(wSEo`dCFnx8EJ0?^X=ZZC3f~M-KjaM(^sn?@>R!#Mw`mYUis<F07_EpR1}b{qoTp
ziuve92G`N7vaZ>ol0MqmTleZ%QP*!-K@Y9rrE``luS;ewr?1>DqrEql)~yD3>NZtM
z=@#!ibcYr0dUoRyI`gOE`ts~z+PO?o{UD`?ZdTVtk3CaJPi|OHk2;cHkFJ(auUyT(
z%)v>g^v<mxpUkP}7t5hv^>fgFEIa)?Q+9o*PFDWeq|ADIN=E(TU3$H!NIKni=5H(E
z)_1E|kuO&1kPp_=DQ~Tq9WSk#SDspp-#xT$q`PMoaJXd!=DKE0bi8Ec%XH2v^ZBIp
z>F!Z$^}&NypG3==GGxD1yuog(cmD0xviqB?XDioPL&H~FlM64mf-Ww$?v78eVk^$I
zhTfWC-5xvDdQxJtb>#3kE9BsCE8$B&YrT6<E3HW<>*T-?D<Qs#mAtFAHRpVQHTrpF
z>+bI|R*qb5R-fVpt&ZNgtbo9**3l)uQ#<Z^m74C#jnwe>$5Q_XM^_%s)$@gA$&xku
zRwyEAmAEtWv1Msbo3s#>5M@cJC}md&*_Tw7HYEz5J2UoBqLO?g*@_mjC5e`w=l93_
zbDw+X%*>tVob#UZ&KXAhF)?3yldQ0bC4R%_$a0IlWGs6PStKb#TqJw&Z<SP>5vzrl
zyFKNKzx%}8+ZPCSC)a{Y+h;=sa~*g_aU<OK<`^tu!{LJ8DRAe~yYTu}0v((h;TNY)
zm~1l)Kg#hSx3fY>tW^@7)lx(U-PMtAo(^*SZw2~q+6aZon4tyg>(PGoZRnHC9^^Ca
zh#s}LBKs^aw9x)E>I@A;?zX`wSuGsF-b-jzdJMAL9FHO<6VbKQRCG!|6AeANj=DGJ
zAe|StP@d&IwC3>xRH9Ub1WpyBe^0q6NSY$g?G-2|q8iOAu0@C5K1KIOo}===FVHF8
z*QjLr4RZYY7VT_$hfd~oq8#5I^u+KZ;*RvAgBf4YEzTf1+A@T$*pH&$9p6#>mI(xk
zCsDiPG}`6x2PItphsp<dIQ~4moFC$RocZ$noFN4P&MukRoQ=YQoSL74oJU<koVk_4
zoY!e0Gq!RLXBQIX@bimthN{IlA_3x@t;-}hCG8TNHRmNcbt+Pv14UAtDYLnp=!Ur*
z*-bMzq)wXC!^m(H^JF->qOu$*H(Ab;3R#Z1q#P%7w;U%jMUJ!KwH)V(fIMe>xjd(J
zhdjr{YsLo%mFL7=mFH-s$#V{-%5$vZ<T=e3<vD!r@-w++dCqQac}~Fe%(r!Noa#$*
zoKMzr9PVFP4$PP3`0SA7IF8G3M51Ik-t%NQ8MmZo^3Kwn?Rj%KpOxowc11{Wa)u>2
z?VBYze{&@`@{{76rDo!sjUi&3)0Lu}@`*W|MVfOsc%uj>)I*pPA11{4mMX}(mN%PI
zoG-vJ&gbV?=JIjcl6g4-A+tDd-FP_FSO1~|R=-isw_m6*>?g{T{eg0l#!!>k2wLm+
z4e9>(73D7ejNW<oq2UL;NT|09Z5DoyK5Mq4zia+OtZ@snM6Xc8@+NdrsR4OU)uF+c
zHApJ65{WyNA!${NHoquA!+wv@BBh5&t0*7MTYCqYH0Gj;%{S4@`fDf~q$AI~WaKKE
zfNI=gQE^oi@|B51h6h5?>fDRSx-kHqHb05n9~?t*Qb*8!HwVOFZBgE=tw_|=8g=`b
zprqS|DEIYpbn&M)%95Sg^Gg+xpP3Yzw@nyz?w^JBKOckQ|Mf!L(G0hBR>8`SLiqFT
z4cPNK4!Sp8gd*{Wq2Xl<XcVal`=bS*o?!zpJ8}tl?3V{48kI)ncN*F7@WXg$;vrV}
zH-Zxf<w=vt8glH+E>fK2OT0HklKD7=@GIRWR!2&S=#4rO@U)fGbo3FicjKh0XBN$0
zFHF1hB<YVyc^Zc1(^bA&G~t>a-AMH5<TF5-1~Xbj)=|N0TWPzOEq$$TPm@0#qOT*4
zQaxpFx-HF*4hx^Bc10Iy?%NPrJRVLD3SOpRk}>p;L>#>?kU+PLCee@0sg!dkgThl;
zw9M!x%^uC6FEVdYb<?{v;B7vwJ5)eF_7zg@-p6!FZ3$hd$<hcvLf2N5QO@rQ>a?Vq
zrq1M(T3qVr?-NhyzY`6#(WQ~@*!qHo=)R&hQ_b`aX`w;ht@NexTN+Z@Mw6`H(LW6x
zG~cX~Uc1*tp9}X;y*<5@WX#0bT0T;nzkPIz@+a!9`<do0{X(Y~ex>f>19bB10KLu*
zQkQ^l)MnKXweJ|B@qWW}LU4p$iX5SKJfqavb(G>KqtromjPBh%M!C^rG^lipR=*je
zA^l_Y&DSwn(K|-BHI32K{4tsvIP=_Uj9T%I(ccB5^wIWF8u)c&2D^;V%<*9=>oQEg
zz8In_mkd#!8M$s%gEaW}06nBTK-IT=r7w?sp%K2H=|R6w^rUA$ZQtKVZ<&0glL{Z`
z$NnA~a;KY49PFYt(w+2SX$M`t;~o9l*G8v3-qQ1ftu)T@4c*%Kn*O(}nVLtuq=juw
z)KtBZN*rjQMu|^pXLTJ_`SOI$on1pam8$6VMHTe)k}?{qL+IyuEG-i)r8?gq({;^7
zGym}+)js=x>R9AcN1?lPwB{C_I+IH?7H8Ax*VpOlQ`e}6Oa`sFn@abgWNP~~fwpdm
zr_(R5(9avAX?gV}dVO^SeRw03O3ewTy~i%l==1<uv(1m*;qjrtxgIoWtqaw9=R{As
z?WYZ6w$$y!HkvfNktQCpqIX`KQbh!*)^!6a%d>(m-lI!zJ<y~rJZf}wlM*#clA)sS
z#cAw(VJhpuM<1=3CRX=`iL1&-k{SM%xQ{+3yKO5;AN!ajtK1>u{+YzTBaS?p!Gply
z6!D#KAWB?oqIZ4;DOjgOZYc7R+1>x)+_c*mzC4MWqm}U6cc<BfX#+;w-D8Yc!49zT
zPZF3L`~)2PItGBeBvjASf>R3+Y`(l5vfZxGNg@#PF1Q5i7AHcWbsc_{xd$C5is6!H
zm9Q=5Is9SyACw&Kfu&)C@Vw+tc(#TI*-i?ej0JO$yrm?HagaqXjw_*?C+DL#J`2%`
zBRVK(>r#}wY!yQMhRC=HBKIg$6mM#YE`D8)gu=I=ABsDWV%BbCp|l^Z3wK15Uk;-M
z#%?Gx>=<IIz0vd0lSo_oEYetX9@QsaKnvo7P;__*8b29^Ozk6(Bj*w_k&i;pK1ZX$
z!Yk;iZydV6{3_D<n1IG&lF;O;6r}Sq75N@YN6$twkb>_uv}H64IUK%$j9%SDP5L=V
z;z}<1)|-d+=-o!^j^9D|Zrw#E+wP&%S@)5s`U6z4rU2cwc!(<37owk*MaZ0agwhs1
zMn43Kk#%P=ip(!Tk9<lIUCu=rAGv5#42x=)W5oLuqbXa0Zoel;cn?K#jTAK)l%a)5
zWk_|X3>D2#7e1aZNBL|y5*sW>yfPK&(#i^yXH|i0XZ(QFofXJ?a|P-~6{vqf1q$J*
zK$Wk{QAS2NQn4>bX0qi-rn(Fz9VtUEdCSm~s}%XGQuHUCpv}?*`2}Kh@gs{)8nb9$
zEEgHKmm+PYQlw#1f(*|Wqm$W>(dUXsD7B>srF0dd?>!Gu@w);v^85iRczhoTB<7=k
z9{13FbQdiUxPy+@-1<M3YF?a+#GA8`o7YV=C3FM5O3p(3>eo=-^$hevDILXKPDQhS
zCL_~5NoY@T0&<;m6@}Qvp(j~aka<rul2?vGdp2J}T4y8B)$3uXyfOq;y$eF6!xxa>
z^m+7pjz8i``k_N2Cy>~$<7lYkC^9Xc;l+g<M9bDYAX9<8sJM6+dTzfBRsPw8TH@EC
zwdxkgCf5Xk1rV7huR*s3R-p$+XZGGR9h9S?i4;$$p*7{o$edpu1)9%AD+0t&`a>Zk
z(8Gru<^RIEgX6F+?<*Ym&<)EJ{)3H{jqv8NYWVyL7rx1V05{a;KyG^)yf+XFAN~r1
zcSZc+#(6H#Vc8D&n_~je<|UA^SAasE{4hwk2TU?tkbW{2tP0o;3>WhQ*t?y1oA#1x
zKJbdozP$!#$p&FHa0ly~zruC8li2CB1d(XaAU(ncq(y%n>0iH($ZR-HmML8zA1_9d
z#a;0vbZG`T>zPZUvmX%4XQgCuPbI1O{ETFFzb5AO9fWhOkIXwfM0^x~l1BWGbZPQa
zk3&LqZ;B}Osga}?`()^j-wL!uNR^%zQKv4mH0jQ7+ElV>33a=<oUZoJr)zZ$sr!3C
zF9aFW-Kyra{*EQRJ;Q@&zP5>~3fj<vjyvf2`?fRKVGq5nW>38=9BJ^rL$vbn5h~>9
zMw!hXl+p8~1An~fiV9yk>f=YH6wlIA4+3WJLLlw1y+DgDU!**25H0Nrrp<ps=vtXD
zI(tDlm0TP_?Q|mPJGDzRTJkb=pS(<uzm1}?1<|xIFow=wcZCKC$I>5_vDC{uj!r1W
z(?A?gC3ak;Ss$;`l^zN7$+rY*=bT7~S`%rgaS~O}N}`pMNz`RsGF6OArmfA%^yZut
z8U$15*~2L`CNzcCTuY&94^!wZHiaG}Db%(&g+|^=q5SbFw9z+(e%qQt-4~|N?IX$b
z&ZA`N@0CoOwUTLZOA=jmHi>RmnvqkONN<}Z(w_|pRBm$um3exV{)Sg+$L)ApDG^Ug
zkHyg!Gx2X(g;<*GbcH(S#?Y7#(NtY2nl4!%MJs$R)4{|`w6Z9YZh00#^V-8{`^PXk
z`8kxzd<vnQnY9Xk6+{KfF4EfU3$!yNkd{}SqwFz%`dZ=)U6y-_POR{yn~J>YzQvw&
zeUb+?o^qoHx4Y1;8;9w;&rbBb<^lR+_kQXew1@uAwxvCE2Q_Z8p(d@Hsd(!K+R|uE
zDYc+Ka?EIMs4@NR0I9}GBf9p_Y8qX+k}f&FjIK9WGBX}+S`w>C9Sk(6(VKbH>zFcK
z&8t8kUXh`5m857$rWjo_PlWDFnN7tc`KX-0Kk}>RCs8dKA@75~koXO~ByG++viZqt
zB6#{aQD5|g{CGi0r%y3iBmIEb-OnSL7FoopEt&jvjU^2~BglfFi=<59Bq>~UguGt0
zo3x;H<gg_}3^(hNzdKckv%MHGd-)r4KXu|O{FQit_D$TlJp?yPZNaIr(%5=?0n2{u
z=Z+_i8Lg}-WPCTv02|pYV0L>j5R$n84y`E%O=cb7pZ+gkJ9`e?a7Yp2qD4?}d^L<&
zxE4NIyA8hGegHby9E10uKa3X%flA*l!OSOd@O69&JZ75(7fR;Ado&*shevSE1Pg5f
zE1~7zI(YMV6VzyFf&RMhpoeb{EO__{&g%XK=kbig8mTF`TZ9MM@bjVk2?4aRM+iyO
z%t5W0;^?B66q*1sNcyiFA|;CGwTlXZQu9%JfjWw_T8OOPXrV5<8Ai|>U9{0^DH?pR
z90^LSLP3XCBddZn2#gsatHluQ*v&y3{7sNtq8YlDvlhL)V~G-StkK(q^(gf0Ms#V{
zX4Im!6>T20L7#HBqv%~b(TeF^sN(8ww0OZDbRc&x+CFbT8jrL`s|OvBkeMTLyzGQl
zH5^3Ve-EL#TFyw=><HSp%>^~@az(LQ+)yAqijq{_QPY?^nnyg)h118-=;GtZ<>hhI
z>*|U2{PaZ6{k)LDkQYj@^+x@VyphgqAGB|S4>}+0gW?|gprmFW6!Xak`H%RZ1K)g*
zai<SbsrEs?(|piJ7a!E7<AZuSy%AryH?q?7MvscU(01sB^ol*vhJ~J}B=k56cz+Dt
z(msaPx_BV_ba%x2<S63wx*@f3S5z|Pf}|&optb$ZXivjo<eYN|ojGw3-8OVW0%Hfz
z^(+SzyVf3keZLP?y6;80qjrdMbT^WEw+msDooGk;b~OIY20dE673KSEMw59PQ9<*1
zH1gdVHP5j^-bxne+kA86pkj*pB#cqU6ht{43{oyOMDxQ8(2FhlXrtsx^tgT*T5?(s
zy;9djwN=_kZ=V*@9$J9f{nU~3?|CyAPz9w7DWdTG@~HcX460o;7aa(aK(F75qP5y0
zsNG8t;m7<)e0&xfv-=CJD<`4*yzlV7*EhHye}d1Zd!WUt4yfkT3h#x#gdp!3R4c22
z`Hf{zzqJ$!y)A?RukXPx^|>&kGz$*jNQEoIuR`Jy4SUyy!%3Bk@K*0Bm>7H%9#nIH
z+~RG}!rBr(cw+=_I_SaY{c5oJs0?%*7K9cbCqUqr_u$!Z4LC7*7c}w5gFQ=5fa<+w
zz&%wGe11cjcQX}Zw+4ikCiv}Q*S~FKcPT4iZJl*kO8N}8KAM2zO7ro;kteuJvJ)>*
zoWPR&f&>oDB>~Uo5yRxgq-B=@VFk>{_Uuh$&PqG7>HZ-SuHZ>@JkJuFJwc>sES!7~
zj3$lzSIJaB3NaYWB*t5^NptRPl0SBz#H@TojGVdTXjB>blvh2IU#TZ`j~hwRt!DBo
z>OW$CxP#nT+C#Fx^bxtlujJ{fVG>^Tov4{j68pm6BrJl5@)YvYi_QFW;_Ga>c3Oz;
z;+sR|_{8Y(DRH{tizH2YF_&`kWvJdoIcl?6fu=|)(Xj?)x*<T7Ue%mWX^k2!-lIW1
zKP{l|-8AX&M=hGXQ=2{~I`q7fF3mZ%gz9tksM^$0dSJzJ`qh2~Exx#tvgxbn$US|!
zwP-bMd0;?&Z>*uqE*a8kS0mcWVJHy>^v(<>PP+hU%u+;yUZEL$!l5p|ICS?pV`}xw
zm>Rg5P_0)cRB@>(mAYU`=RPx~^M%bQ;FwW&S2J21X-4PYFr)bo%&2pb8Qqp|M*T9(
zXjhOKy>h^eUR`BI$A6nrmYC8JZ&R8z-;}mi&G3@<nNYrO##HKrF>M{?P<v+%EuE1+
zwhB?DC`gTG{0h&7fKn%h8YCOh!5Tw4{CN$v;a@`+$Qw{U_0`mIfj%8oSw(^PO1kam
za=QNQGP>sB(wTMCqox~{&~Q;*Dp#vRdHuAhqsAh-{)r}SKCqBV{m`JQ7uBh_kQ$v1
zokxHFRiWCR$~3uMksjtK(7ZG`dTLCD4x33+?I<Y<UP(|h330m1N|eT*7NK)<h3L@p
z+0=B1pDq&NqpaF2y5!Jba@T)~EWR{Bx?{!&|D_?)<o}hNJls$8EqaNWN+)^ywT&!$
z_=a3O{)z}|HIhFq^(4i=hRCW`ko;my($<v_#nwXNwC_H7*m0Yf+UAf=&$Ea)OeYn&
zNhDJ=p7eS|lc&!jNc4gb;_eqnQ2Z%Uw)7ZzU44j*Z`(_fJ8Z~mM{8o*!yzm8uO{c-
z=#td+8ss-oAc}et#3fCDa3v>k+vks1vEmhWN-Dz{$M50?>ymMxRtO#vJA}Xghwy**
z<Z+|Q2e$EdA{#m-%LeZ4G!WKQWbP{`GwvrpFgLcyg9A??DAaNSBZWcWrdc9Lth@zA
zmtxQv(Fh`6bpdsOG4NT67ao+G15+eq;DSFYFuhX~W)v-j)o0hh+Xg0Z@Pjqf39^BI
zr1wCfL?`%3=qNOH_kjiFXW{W#7vW>2P#B;a2~$=@!;Y14P*EolYRaX;*S|90uh-Y1
zdv*@wJ$f6)Ey{;uZ3Xbxg-0-OekpV;#L$N+hgV9fV7yK(+<E0GEF5?aL%~aU|NLtx
zSlSBRKej>2{~op}bi-?EAK;L3Kg<*P0`CnDz^=+6s2({AcUp|Y1K%g0=G9*?V$pBt
zo&Ohph~q&9^|Mg!1TR`Nk00f81d!hD*(lvj5RLc>p?PP7k?JWC^uc`&a^5S7GR?%$
zMGbK@XIdOBe=dOr5+srSZYeaw-9$TU=OT4)Y2+j~W4nuF&@yXTRQN^~CGV9(@7v^1
zz*c#5vRoe3Xel7)Pz7YysesaF;%<7U6p?7DA~GCRL=QETkl#inborPP8VOfI*=b7X
zPOcIXxTAzha+FYYiV|89s)Q!ol+Z$JB}7z}Q00IkVhR<Ju9qT8(^f<=ZxxWl1qGz8
zp@5!ad8Dve9*ND!FWM)EWZGnr(PmksOJvY@4H=YiQ5vm$Hy6<*bJ4m}Qs@IKi4uQG
zpksOx==45uR2?ja>~clXy2?2y>x~HV_#lkRzY3x30YRkOKN}rt7eEg6{Afu5AL@wZ
zMdv+cAuV$rRIB+HMscTMo#`)_R5k$@%y6V*5=SB5*bvM%8-%IhU!Z7BKh*f~0nS$G
zf!&6kux-OTsJ!zne6`~Z)Y{MtEev14y(-UP{Lgx*{Ok#wf3*rW?ktBpBna%OD1|rO
z9>aRkLU=y!KK#Ypg-7c0;N-?^_`V?vTCL51&c!LvLn9GJg~!3k&(W~k{1Ws_34>!_
zf?(k4KzMJ`4{i<cf?I#NLOBm7DBQLOUYYSE=B90c6QkzvmKlUsqV%Ec>m~4pv?k2l
zq6)pkWMKprgX;$cpppJ>&=xreOy73^vn7q7*pC8_>U^+9EE9a(6%B&S0>Fm${h;h5
z2b@%#4;F_1W44V{Fh$2MGBRR9jEUnK!``YMuFiLN)^Xn>wqJIPz5GfZy965Gf3iDq
z)fFEc|1%u_C!dVnwDWL`b}<f;e}bdNU*j2OB_8%2#crZJ#Cy9Sc^o57-d4zxi~TBO
z56?m}M_iXciIpUg&xlliH6~s)mSn?~P2}IE9R&T^Ly9sSiS#lTBL46g*}1@%WQ3e0
zjRS$?f@m;#vM`LC)Q=>dAc|Zux<ZPU#*<Q|MB@J^nRK_Nk(%60BIt3QMCxRd<sG@C
zJ@__pUvQ7qm)s{UrVoivWf8e#P)vBQmy&WGOm6L@B<ET=$?B{m7w6WH)u5K#*j-N^
zyFDXzUeAfYdlQ+n?<M(e+)OkST1eQ(H$*z;KT>ShMx1!x5y5L6BzajU5q{J~HZAEP
zcFDa&WAX#Z+|WmA;`&Ks<0tZE`ZIZ}`jyzM8X%kDAbDo^jZ|n45na(?BKTpLY|kGd
zqDM!`GL<nxE5^v<-QS7A$M2-yX`E=h87EE55ArSk2f5h&gT$&$5Vai>ME~prX-SwM
zv$H42tDFgf(k6&a@B~qGoFJJiCdk(xKZwx%AB2C;5AylfIH`#mCpTrsNqp>ga&y*q
z(tCJ}94H$lOXiG{-5W>9_Y1>B;@%J`d-jb;cMcNu{sHp4_bVxF`9fUrXQG+(iSWAg
z6S<{*#P7=of>L`)fJqOr>F6S_JUWT&j}EfN`yJWZ*GA54eoJ2Fw-OJ&H^hC*Yw{)b
z75Vq<1!<USByQ@@$uG_`lDNH|I5^Z2FQ*zZxUY%~ZLT1RhGm3LiIAP&xg@`)gy=>;
zCc|5bh_c8-@`BtadM@|KZqYl$>vkSVHO?UuO*crMZ5DaimO-xWOe69Q$>c1PNcwKZ
zlhcB+Wbff<@_=3<sge=I#6FbN<_3|iUjvEoHh&^ndy@QH?nM^HA0>5zhlxJt04WLE
zL(-n^AiDfp$m2EZNbn(Z@-Y&T1$Wnws3$APv36ZD_p2s(GCrTYnNlQCzh?qkQ(|Q4
zxFEUzbrz8%Ke0l_02Vpjg#)*~#u5wb@Q!g7f2h2VcSYU6*0zawt6C%$Za$004<5wH
zKi6Z`=#}_^wh}&3KMNbbZ)OV&Z?NJU4zd~>d0GBG0q)vte<LPwK2!emJQLpafO%Qk
z#jGw71oO_%2U9E8fRb06f$1J+aH=5ysK-Tuh82lmS<Q7&ZJiHhmzM%Jts3BQ?ghA9
z+YZeB_5o4NQQ*q_2H!II;Bk3j=pQN$-wa4YXr%~GB+r8;T?^nLWgVEaaVf0xUIk;L
z3}Jmbf~&I3U}};Tth=}o20Gfnm{q%A`Q#qhUf=-p_a1@*zg*z`a1VG=#2f0KI|(yC
zoPin4dFWqx0h)9M!Qk&9aMi4EXdoB~PYPUy-P2Lf{%Z_;_c9imKZu9HAqg;YdlEEL
zOo1t_sW9MDI_y}J33K0FgU?Q0hlav8VNYB(d@P*{b1vn<8&kJn=7Br#GQA7!rShTB
zzWXpB;{hysQvfsh3*pMeMewlYBdBNh7+!EHhP$0g;O*U|(A|OyQ?yyQm={BZW(@Zy
z6Zm}xg{^{R@Lxe0Ji4_U%J!GTX|D>XG+qHc-7Dc#dnGI}u7bI#Rj_`b3M#LvhFPA~
z&@Q_gS~pe0V?))jk-rAIN!370nHuOURs$P<SHlav)iA8A8h*So^S)g*tWc<io0_WN
zrZZLWsY(@m_P7%6wy1>u4HeMDx&jv9a`;BG9Fov7=-El(pCuG}c@y~dK8D7<EPN!&
zLW`wb$ZJ&!r*@S<XkQH5_C1EZ+a5t@lOlLZvk+?WK7^sI58&+^_u&oad>Eo}4<2g0
z19x1!4c)YELAELv?y=2*4j*sAF4r4y<Wm;BZGR1_H)X)%2I=r_QYsuAO@<pRl3-74
z0<8Tn9!kr{!4F%mz%3V}q38X}(5WR78jpuV4e>CzNFxNgE)RlyMi-!_-#K{1=M3aK
zbP}#w?+ur09fSIluF${YFf={y2rKmW!__^zVSDfnI5dANd{DRn+94~rxWWuN01h;I
zU<7|CuZAx#EQg{!y6}_HB6$6>20YWI3JcW~VWg7`G`l7N75@`~+eBu=B}TJgOWh<$
zkR1l|_Vt1Bw09u&%`0$KxE?qemVr>GM<68p4(Ps<1r(kog2(-rfx)aGz|r>xpAOms
zx48A7w!#3+8qol%>Jnh}oe73l=>?M>pU3bj1~R_8S1|wJ6QhMDS%yPtuH3*oLhRMD
zUF_X0ajf4$E?e=gi+ydxhgE&$a6_gJ?tKigKX(hxy5)r3F8bmLjbJ?QbQDI_iMX97
z3kR>bjq7(5Vgomf4|vt!R@X+nczY`zS<;2+#3!s>FoNrM|H4X>JcJhrkgq3%Nmh;+
z8GSBA^1sTGn|~F_4WW6&Ur2+@`m0I!zvvL#r+TC@a|K~sSCbRkMr3mbBw4{G#8`bT
z;VZNvwFVo=fd`w(UFB`$!r7gKHti;i>^|~lvjcHE>qOd950hE>E~M<?Q8Iq(7zv8=
zBAbt$AO`Rh(fECujOF{2%Qol9(eHuey}?By;S)rD<OP$UHzDM~bSOEl6i!N4M3D2Q
zkp!>1L=LXMOpcpJk^l6gN&LJRlE!m|d}+TzeDh-o@Qa(VukmF6L_E2F`zq1gnLy}d
z0`a+;NX)g9i0-2#qGOm$z@ubhubo2TuBMRI$rQ49XDW%lol1BoQb`z-M&_SNBMo=c
zNYvXj;_@erI4Gr)lgrXc!3=(xYnD!~8K;x|tJBHW1?eO}IGqf9N+VfiX(T%;jr`e>
zMjpzfk!R0S$(DdrvR*5dRM(}DYR43^V?3FhKc7st@FkO`^GQVLM<NkCm`L6}O(3B<
z2}JecRdV-rJc0A#$$Q5*l93rp!dtG8e7-A0X-N#}+!RfOT%*XXfXn3hrAs6vK9cla
zjUeMO;pBO67&+?`O6KkhAvZa}grgipevV!sT~&cZLghRW%JU~Lwa$>sX{X3R0bdeu
z$eZwRj}uuw57KAmMw0xF5ZmlSWK*ppxzTA)E_~ZdWWVnw5yLx)(1&fLym1Tp@4-fL
zE@B<&-eXA?FEl6Nea2+*HAsMs5&1m5nmAosNm{`&;`2(ExE|0Z{ht>SrK9RZ|C1^?
zykCiQG|G{uhSFqTrUa?^JBO^=BSiiy;3pq>XA#-!Q+Q<6cTCF$aEIwf{D5}g^p$V0
z(Dg>VRk#+vKU#+8JT1m%>JM<wi9Eca<{JJWk&Nf;zJj$f!f||8AU<a7jlW<gyl?e(
z9C^<i8*1od-K2$hfv7C*ydZ$#*Z{k$?>QUXna^(Qie|SqJFu41>TH%@JvYu#iEDPW
z#LzAKmXTV#6r-QNnR(O{!h|l*X0Dv6VvgMHW*$`jWk&algFPEnfvxTmU^2ykeWmNb
zpF_KW?>}cC7v>8R|6Bl3dJ#Zw`xVgTkpz+gX8hp`IpEZpdw}Oi5zw<@L4i^wFzTrT
z{;5qs+wu(<{qPQ4_UQ!=#y<n`Bg4S)*$-ep?>9KGViwHWzz?7A7lc(uM4*GK7z}ih
zgtNCx!xxMk#EOdW&ag5(N9I9=Ky_%xEQAXNw4hy_4t&3C2~4P73J-2t0reVJ!8S7k
zxZ%Dbbe8~7%^5+PLSxwf-4s4sycYKDvV`h>*3dP2J-n5&5!R(_hDFg^p{?IGczxFn
zcwT20>>ja&5AWH*kNfsQms$JavQ&Ghv*-Y{y5$JZsvd-F=pi`y;V{%$eFU1Gae)R!
zuJB)%8;s>~haY4-;IPU}3|Zkglo9fT>I0szsnQF|T=s^;>wMt8X&<;N>jZpn=nIEy
zd||}elQ6&JB($4%3P$;zf}3hj!4yG1=mq`YyF-4kEzl1hzv2gP#{0oDk$&*k2|uX4
z-4BXu`oW^Fr{MhTQ*fWnDd;_R5_*K4gu5kALKx)>7yUf}wGN(u7Q_d}3Hv~$4c_ou
zpchoU>j?{<9*0#O$DsX3517>L4$r+h3bjhyU{0(noa5*MJv5KN?#{#TOw=K`b;Ut=
z=9wcDw>vO%X2%{j?b;7@YxlzKx_h8Q=x%uAznNS7=Iw;dd$&W67#rxx-2x}uHo<wL
z8{n*e>tGq5H9Yap0-B7OLz52EnT&}s+>?l4p)-JFsS!*WGJtNm`f&5EmC)tyGWaf2
z57w{Ig*H#MVaj$bSlzk+j%`zi>+9#i5d#${bWIUH=8=ag`()suhf=VBM*=QdFA9gF
zgyHh%v!R3lKP)ty1^t_TgA(<h!13rPczSmL7=P#kGIP5@ykR>Kv26hj9!)?ipdNUJ
zRDoZi1V~&g1_GxFfR6JW(6l8RSn6kjUg>1;V<;B9dU6TWC5Hf;m*+sVi#HgaIt*mP
z?LeO7Ca@vF1l*9*2i6ITK(CZCkc<)s7X*31UA_V4;ICJV$7m@d`0W}K@GX=P|GbxZ
z$G4a%b{sMK+k4q)hk34{pJ{(-?%8zir0zeiQPXmE_D4tdv|9x0@ZvgqZa&M#*)_B0
z{J*kc=CiOU6vM`g6mb~8CboIK9E-<8ywcnnFaEF{yLmfcrx7<Cy6+@j_%0A%ITwn}
z6)xlHyjbj|mxK@9O2>%`H*ifr9xnLr9+uN8#KffpJ6$8V{%IvH{#1)cCL1vP^AhhL
ze}h#z+p#g*g|CEv#I4p}aL3d)?3p=+_pSPgJ-E|&jRFr*+{jDJ{P;<F`fMV>6(T{6
zBIHAxD3R+FC&KNLB(HHUX)BeP(Zh1&fv*BtVx>ezBvi=P7pg=kY(6nutxjCqHAvLS
zg(Oy3i@3%wA_6ixWcQ`T#O9YS>D#YIW^<R4+ak+J)wUJHGIk|dT)T=K9@Qt`<{A*Z
zcnx`CXh>!uBjUP-Arp%LxgidT^8h5M3=#D(4w1ApCVbPz<X4Uf`DSTKI^Ua;dN(t2
z_nR3Bb2cY?-<T6^W-S@Kx|ZDTTT2cuu^`H>7Nj}Nf?Te#Ae%l|5cx?9GRA93y7?^0
z*C`7k^VxzNY_K4`*%l=6gvE><wIF2^YsuQ%YsrFbYiGu1PGrK&36wS`{Rw77Rl<yn
zo--v!`%FlZnF$F_G$v*<vA#|X4sqU#$Ur0{XC4Bw@C8GDeJ~=TBZf0R!WyDIWI%Ry
zuO<S|^vU|Wt7fjUTuC~2tRTBomy^QxONl_D9&xr@LcR<wCO2br$X#u1qQGjAzvi06
zw{`)!YN|oJ9;*>ejrrthm@4t<S0<37M2uq;$kjGEvQt%-r0<a?L9tRqt4e}o4vG<e
zDN*9HOoRwp3z7Ccvx%S!KgmDNOZvTdNZR|~n6GgXa|*|CP}B&PbQr`ci$3F?z7IGf
ztqWhaeuuvdw&J1iX8cyA34grx6tB~Jg01gVU==ljXUCLalb?lnw%vW4{%D5BB9enO
z_hjL#*=e};OCtWO6Nk?pj>3NF;dsr9ApCJU0Jqzmzztb$c*U0k_=>JAc5vB*7iF2_
zJ+F;$An$T4u~Z9R-lc*){O978Swi?;@E`VJ?HBfhU@O~gRmDz)-)9ROQrUl!VQfQ@
zGkb5dF&i{4&t`4z;U>O{<7x~FaSeIW*Q`xlW^^Dw$4F!UccXRgYK)w?6{8mC!EmM{
zm`5rZ%%vp-Op{JElO^5CsD1g&xZIv*8gvAKn~x+=ey9k1do=*B;1Y0f-fEz&%>msD
ztiWQatsrrDH>fIe1n8U_xTWU<Ql6g$yY()DCr3kp)AdO3uQ3|9kH&!$bCSTIavHd)
zaSeFRzX=x3%>!4a?tsv@_d(~~Lg0R)7|dSDf{>3C;7gU@!lEbOaY;SUhR?y{M=yYZ
z`fCt&p%nzbX#*mv@4<K5ZZJRe12~%34@&VD&{s7Gn#nM*zdZ(A!he8PyGanPIt>oK
z{sVFm4~&nT1>IlrLM@3I{b?xxXP=r4<+B7~d!-Px=n#e*hDG3qsX37UpD4UJEe1<Q
z#GzrQ1e{+Z37u|8!QXy!;YTZJC_57~j%bpBOsFi>Fpz^xryLACCl5#E6ku4M0yJK(
z2xT8CLZQV<P%cdgLVjg<`mi#5UZxCJN~*y7b}G;$O$B~xQGwaBRpII7s_@7*Rp{le
z3e(Q1!oF}-xbu=K90*Z`_xx00`axA#WvL3)HB@2c4;7eGsRCO<RNxLX6}arDGIYyU
zhGOfLq1tC9n14<Q5-}yXD?t$k$tuFF(F*X%KY2LhDi2$q%fT>hIVc_=3r{|ifsK+f
zP<5*`^bMa2d%053>!T!GE+h$;XiC6SKpd)W5Q9s1h(f$;4t%{$1cq7*!;fo(;2$+X
z_<?UW%<blfyG!`soN!*)yloaNm*;`?`F}v3+B7f=p9Ezee}J_H-@#x15g@_+2C}|>
z1?^Iw!RMuY;D>21(B04liq?045|cLItk((#C0_&IffryIeGb-zJ_X+_Yk}3jDiHLb
z9JJaJ;67Ojd}AL2)dhthA^$#*TyYna<>!GH3$lT4d=}{WoeoS7q<}h_0J3G{fVfLE
z(0?2WEdPXpGbTac@1Ju(!TS`r@%}iNZR!GY(hq=dBfA0Q*npqG>p;X4Q?QqZ0j;Z7
zg1yd*!S*-}pvNkKjh%CW)ISmMS%nWA_ncrVZ}c<CuUeVfKefyv?Gh%)CXcysCW+aQ
z9mZs39%p_}Zef(|mNQuul8ld2uhG!%n?{*0tc_Z&6Ag2<)|EP)SjMeboXGX_Y2n_o
z7G^U|v{^khE4HxjFxz5vk=+s<%O*X^VuuDFuyK6lY=ux0+dkdF&g~drD{f7(i3R+4
zGp{IKxlS5?3s%DO9;;)|Hf<a;x(w_7F~B3!2uFTfi?d&Cz=L_)u%xFQCOQZ3ofc;t
z>gj=n|M=kdr_W#~pFsThdJwLv3&ltJBJjDX%lPx`EBL%fJf1I*i0@4#WB#r*JgY1d
zhsIyWeh%5VNIefLw%^8=!|%=D&<A)?-3%wz_7TqOD8{9>T)eCv<6nAZcrv^KOSe_w
z<@26kxVsLkhCRg<cN(x*btC@q;sxIO>J?s9_ZlC0_y&K9`43-rYQup#@37Cu4(t)%
zi5(5PF{iNy|FZpnFSLHd4c7g*;r=J=BlHE+onLW!;s6$E7{ouvzTv~-!+5>w2u`0r
zig(G5Veh|V_*?sTTzO|44|)8+-U}zNb<+g)Jo<A+-~PmR&QId9iAlWB@fYqY`-Mj&
zrtrQUQ&{ct6t*at!cA|caK)!7yx`ju{@XW&cQsF8gTg7C9WsUUHcsJ<f>Sv4@h^PM
z_7^_<Z4ytPoW$<qKXJ|BpIEYC0z1seEBE?=&5FkH<mc~rWbSutykZRhFdxP08%A)8
z<uG2fW(aGme8b;<4B*Q(U$Ij77o2bM8SfqH#~`*3AJ+MZhl+dgs8J7&DD1+|)H?CY
z;0|0g<FiC9ZNukI{D-d<yurdBUgP(3nz5noORR6&ghw_#$Kf{5@Vt%n_&KV@kF;v=
z<m@W^sIwf;zEAO7UyOgO;^LOC#rQ?aBRt2n5a)G2z;%B4I7;{~R*t`g<7IQPLhMca
zQs6p%?~{oSze~fHU<&q4O2pQK@mLeYV*TJ~oLYAYpBIS0LYz=+>lK8PuLa@{v1hT|
zJ6|lN?1|O3x#7gXL%2NG9*@-Q#y;=1;q<Q?anYD178y6eLqiO{|3M#LYhH@y5N&Ll
zrGXRAt6;l5a=2%?B=+MI!LH4GSOQM7W{pFvj9o9Q-Tj7DJouCi=_Ra)Ljh~sc9Z4V
zmc(9r8p$?Z@Mjx653*++*Rwi1SFjTs6<E&IzufAy=iG_HRBltL4R_L|qx5B`UP;TP
z0>iH>fKlm4w9&w#3L_afYUC^{#SHlAFlXvanSp<HjEK57^Pfxz<18A>q)enUJ<Ye6
z`&o~evkn!^ZSm(!QT~6-jKyGdxI;|j!YSrO887(ZC<J_`#Q^^$Y2YHM2<$J-12?A^
zfT;sIKnpJg{lfa-&qkw}tKB$Y{R4Br+hh%NyElQ0ecQmZ_qL#=ejjkjbp#tvIs+@i
zqhP_{aqu|y1gOzIJ!69dfR*e8;Ilpm{5ll^o@9gpiX*_&SC>F@R}`r3ivbZIVu3_k
zJTR$E0K#{ZfNfX`klvdHbhI)+_~%TZaw7}0Zo2`pr)~nDlpLVHEDyZJx4<^zJ0OO8
z7lbU%2O4qrf&It>pl$IGoVij6%$kdUugGH{W>gG#>`TDf)1{y(k_)cJu^{FO29JUX
z_;ZW`$1P>xy=FN$HdYSA9#?=Ok4oU6QU$~+t3dJIYG6B94TimIz}XpI#c#(a!1LJ?
z(577r3<7FFWL+(26|4h_oH}6RRtJJF*MY~`b>MSh9avCO2V5W4ftu@ez#zO1)E%k=
zr`Obh-8^;RNO>)IbfOlRtJQ+}RZqayJx@T-=Ni!MQ3GtgR0H!FxwN_pG-*_U3x1WL
zzor6+2vvYTGv&0Nd6$8JR0?#s1aviFaQ__(a=W;ot-Tc3HI@Lwl45Wn`7zk!^$6TI
zEds^Dh2Zql0w8kX0SH)r9}N6=4;(plcc%2t9q=jh7LZ+(2X5u%0Ipg#aEQAB9{$b(
z^$yp-OeT8<N2P;I`&7WqNd~h0iQxJC1TeWR9u%C91yZ>&fT@iF#@&~I@puH-$r}zb
zMM8mrSTHaWxd^If1%mgV&VrK4Q@|$H2XyW_4l?H+1utrxL9T}ra2B%%7TI<neC1By
zP`VY&HP{Hc?pgr>C38RnIl!XZ2y_{)1`UzRfqAPgh*DkzKJC!}QCC&LlX?Zv_){8m
z&BQaUtwex@ivW-h;Q<riCu8gUjTwyi!06|-F*#)~n5QqFFf(e1(fss~@fgfwT!u23
zf^YFm!Pf|;ui-p1Tz-@}S7^&T%r<9Sla?{*my{WYi-OGNU;ReEC(4Z8|4TG-(X}_)
z;VW(=6nxh3s!MRmsT<{`H$E-p9(x|Z?L)cTVZTPMX~H=7V!ar<e6>3JEJmN*@}Cvk
zBC?k~sB?@JPYGnD=SH$y&&RVHy3^SV{am);>;v}j<5KolcO|Rv_ZhoWw1qX9^PY8`
z>SO)dhS;IJpKQrW9^4epkN>?9!iq{_cwmPVHVc)-L-~rBHmKsjE_E#SMH8?1tb?mN
z^l)nJ3Vb?eH8whJgzuRm{P3>{o?oyQH|(^=p~D;SvVbi(?e8{x(`Oe}>#)P)Yxd*u
z&;xkZ(}VcuA7`Ae>4pVOJaErOPb|OD2S=fkc&Ykn+%j<%yOf>7y*LmbmAZ(_9D?wR
z++dv0AA<kQ3&R3i!*R;#2wapFi7ksSVXLQ?aehk__I?|UqgrC{X#JHL+Y^h=rN-gJ
zQ}MWS<5g^}lz^MN67b24M7(r+68_1PjGJ<k@%^<aIKDjv2e_nS=b==***y*G^`>FL
zt?9V!aXP*soq?TPGq6%g25$JBfxVbaEbEzx3o|nD#_CMm-<^p=CNi-$|25n!d<{nl
zUc-C-WMa-hCI+uE@!kiSI4dL*OYg|USSb@<Ys<hjS2FM_lMFohDILp(r{k+?>G<5k
zG~C6c;c}9S_12`~m3LBbt85C^K9h`B{Fj9PElI*@XA`k}bpj6HOTh2pRcwAd9#_oF
z@nCr@Uj6<Gwi=JYdHgZhQ9K$)N=4yi;+OG3{!3VYJOV#@AC7-igyA`vp_tD%1dmt*
z;}4QSc;w9mtep^utuxNyL4JR{-|;lAE<A}h{PMv{tG%#;^D%4`briq7?Sc=G!}wo~
z6Yi^az{cEtcy*2)9t+!rGaa{M=apNr-_%Ad%C5s(yezS+nmG=yGsa!c5MTRih`&d#
z#v%$Uv3%-MY$2<QUqmdz9X}V~>kevoQ>6-)RaM0EePnT7wG{3W7srD;MDU!%+1S0A
z7hjV3%U(G<!CJQuv63r3vD*W?*i-fYvEPJWvQifH?7A}*?5sPbY*tGF8#{H2U9NJS
z?KDbZMR&xq%10yEQ|B+RlNvs(y7@uY;J|kF*BNux;OZ*&$-M=v&l71@zKf6TAOFOq
z%j>yQ-nY0LX*l<|#x`zn_gwBF&%Dz02Xacp`E(3<<(dt19xO8Ysq1Xy#ECOX*z(Y5
z+Uli|q1LdG-S}+gyQLfhA~l&qRG%sCGG|VYY-7F-IWmXaJsDVdo@r&m7~!~RW>;qd
z<2gTrnc9)fq@26U@TV6tefPM`a6tuAn^(uE#x^k-?r#_&ri1x4*~=`t{e{`EeuNR~
zm|!&Q|1g@LX8~nJ0nlnH1oWKdfLUk6fnJ0Zh>no~v!dj|;R{M2-dz<O->e4SXe|J@
ze`tb6RvRojsSDy4Ed@WDmV=e<tH82<Gx{#f5DW?caPBk$M|zDxkck<<@oT~4J4>Lh
zxDKdq*Z{tGZ2}HaTYy)F4dA=69SEiE1n%LsK*`Mx@R{rd@*?{Is<#KOXAXcUH79V5
zJqV(#4}-1GoWW~j7a)Gy6$}d;1@61t!Rb^FFsJz#Q2lcpWGQ=rL_KftZKV&$(meqR
z<$ZzlPhU{^^du;WIR(b8{lJMIen3CrG|<;R15VvP1O6>K3u>;O1+T`>0%dD|a4Xs$
z_}BY`tRMbBN-h92=>&kj<pE%?ZUBIa0U%<^A8dT#4<eHMf#r68kjm>1!gJ07S$Gy~
zt33nOuRQ}qicf=F<<mgj*AK*0odP`kr$C6&NuYDk7w}y;0aW9CKy->XaJuRR?ge>*
zpd-h@FXLlinV1Jy^5Q6%6Y2)KR=9%d<|Cld#Tm>UKLm1590a*v9l`Ql2f(fpd$2})
zKlr?7FNnyn1A48tV1$1cnAF(;_E~HL2DV#4p2KF)XulCW*|8qnHMIseH7&slp0&X0
zwJFfcFa|mH2(-!r@UGqvbb1+pZ*%p*>U%3dCt3zX>X(4F^^1XL?IJM3Xo54hG=Q;$
z8rXYW6^zv@0ZkPJpz10MW);i@zegm%;w55$>nH*mV+CgzAN)Y2cNQ=c_{&^{lZ>z1
z7_%~FkXdlIpUEuiW_q5sGiHq~jN;QKrj*t*o_DL5t8s*J_9<r2<^slf!5s#DzsZP{
zWiUFyNz9-{ER)T5iMd9DnIoV5nIl^~nYRT88E-LLrsnW^#+yZqn&=9~fA2y@?Y2CV
z^FxHO5BhDStMb9<L-A81c1MBHhlxa^4d|><e5$n(zmS~KJ;^#l<x^`7E3T(LHZ9#$
zS|ig?`a4XXt9fW0_ms+6?s3~h?pDzU+~m7;T&Um8?arR$qH{uQPr3~IJYS8qDOke(
zyJ^VUgs)|1Y8|lAYWrCD`Ut!Agb%xd?>t*#9KvdhN3u6EudshPiR{OgG*;!nb=ILf
zmp#4n9;;CPkQG)fVfl{}_SK_GcI8klJFN7aZD3xp=Qg#n?c3h5_ttl_#rl2hL&>k~
ziOwOmHsd?%wt13WGxD1~Q^|wZ@bO^=31FAwg7{X7F#d+;VC7aZto&I5H;qbRz3<Xk
zc~BOIb;x788by5ZrZWC~S{0wSnvZow)p1Xq297zi5Nj>e!Z9_AFy5<!Q@<?6s>haK
zqc3{6ea|vHQMDXLs;|TsPp-nRD)sSEJ_EcFtijH%hB!CM2#efe@WoPqCCVYr#R#MO
z9Q-2D7~A=p;MR4f*jUC4C$^a3*OBIU%wR44_I53<@wAx1iWYe6f+b!zZHc|ztgzb)
zD{Qpb8n>UZ#ycym@wGqJxMJBlTw%KoU-MmuZ6ns<>9}<`YNknsufyR!>oCvGbvR(j
zIxH|{jnk<$-g3$s>nyUyOB$`PtE(0MGShcyuqAHev&4?4EwFvxTHI<i)3VI5=ZG0D
zGBCr}eN6HCJQG~?${5Rh=U|(eqr6v@5FS#4*m>T}yrdaCJ!5N3de`7VVt`d+R^#s7
z`gonvD(vxk1-1`fj`j4G;h&9q_?7b#-1>7d7Qdi_lX<mqw7(YSA6|&1_AJ1!s5;)O
zq=xH`&%?T9D)_p9GB&YP#5#fU_+*hR=5$Nr<k@p^j+P`oZz7JF9in*3QDi3fEQCjn
z&c^#(_%U$c#l>5BF!%ItHpgm`-92ZVm3=bI&i5T)%alK{O59%7Yf~r7)7Hky?0duZ
zx4vX=u6xc#JgQ^g$yc-Qe9G9mdM?`|_n39IFJNP?-DPjL=dz;`H`r9;4EB?2GCMye
zo(+5u&2DOlU>kdb*(-zR*@-zP+4&3I+54-VSQ*pZ?11HFw$y4ZJ7CVRB5*l-cDWWi
zsIJ2HO3r1Q{s^)r&C}f6+)v!0)33P(o65Nk>UX&gKNGpGFE4WY_w47=d8@gKL!#W0
zq^G5C`n*do*XESC-AGvzyWHK-I{AsAledVG(w`MZk#2TI*Y^b)9s3?{RP2{$bZme%
zDqi1YRFTkQl+-Y8l>dW|kv=2FB#+54mG)|kYMBlLC08*wc0lHDqy<x1xS0uVuw{O<
z9AJW*T$$%3-i-5=v&@L@MW#PAlo@#&$+W7+Fm8_Vj9XF?Q(2wHtn9zW1pmFsB#Yjf
z>FXY|Qn-LQ@Uw`CXfI)+3o!%Fmoq0!s+qq(YMF=Eo-rp-6Ql6r72~$!4YRlLEt7B5
z!I-9WF~0_SnR_ex8B4b>Oh&>W6JIpUh}VoUeYHQBUwD#PadVnE=Kq(eyvYOfczJ<~
z9UnM)n;+<o34p7s1pi0TmB3T=d~s`8OSUXo%T|(*H#7GsMYd##l%&O$Hlz(DyU1D;
z$u4O_i`<z(MIvh=w1@gtN-L$s@_+yL`FuZT=FGk4&YgSTJ#%KxoMH0!iZCk*MH$~V
zF-H8WIHM^p$&{+iVj}csGgp>MF}h3UFmDz}GkwxB%=B*=#;sqL=_{9Gb{&;x<Sphh
zo%{++Dpp`zb|^9`vy_;Tt4d6@g)+0hTba>zpU1TK&tv=?RG8sf6=u_XRi-LRm6_^S
zWtM2GF%Emw7?;axjOBnDqdQBT88=pEs+`rCT|3kng@fu$W0*P<9HP!>1*kIv9_mc_
zN_8e#O`SRZQ;j)$PmO6$RAUTn)R@*ORVKGwmAT}q%J7Y;Fz1t0m@;J*M&$fFrhmaa
zMlD~Nc{^K~VZxLcgO`fTeW1ulrYJDd&*n03)#frOTjUvyGjhzOCRxVxn+(&-yVuhO
z(oB@a9Hz`!icxT%%?!BDVq{z;nMP{~-ufGHrbk(fahVWd()(sI1(#<qr$U68Bj!R(
zfPf$qa+{yIa)6JqwwprV3jU$(AAh4}y<f;<%P3l$@C_X-`;6RbKceZT_o$@#Eeg6l
zh|;dSLdI#&(e9m3P!Q@xK?2>Vq`nhzLfVj<_5)<p-iW4m)}w*xIy9X^QK~G9nlf&p
zXX4k;pQBgN%J&!1lwB#>bg>8>o6bX5opO+L?iuuK@DyS+)6h=OB$SYG9KCLgK?~kQ
zpxeeFsQX9|`d8zRBFDC&?^^CC(#aXs9k4}zPpw2Zu0XW-&QkQPLl4<M(Ll|w6jA=*
z9OO1AitJzUqqgg#@MG~CD08w0%7ov8p*wCuALkP2!(_k!?HKq^%MSt}E4X1;3qI%*
zh9kLcz_U0B(Ac>k^79?jJtsTa0Bb)idh`Yky!;)zxhatOcR1wYtPNzo#UXO4`~*o@
zm_xd<E|G*WOf=0Okh0Kzl2G`Ltf~4*KDY}|_lKf%63(GTXBFu1XEo|*sza{?8_<B_
zWz^?Bm#%(pL95@`(M_+M>2T{tDt&1yO$qU%ufbm0JG`IjB!$scsgbm=GluHUJWdrk
zC+LYSDRf<UI<?8jpz8|H(6#5!Qn`X$8lPT3kA@V}9=B4uchN<<@YiMfvbvl`?Y%}n
zE8e91wYO-g3#NAlC^hu1qfejRp%-{_H_?|GsViSIom|sG_b0c}l==?Je0oTIM7!yf
z@?$!t*++F$pU@1+XH@0;b6WP`CDqA%O;cP3Y1fQ5^jY~^de!C~)$e~#*Sil>$%h~5
zRxm=Bp8iY^{P%^b=zXIq+rHDl6F+#dVMpmS9;3Q-KWSLiFDg{Pvx|@ZrrB%%@WRLc
zrS%W~(y8EobdA&mtu36ORtqNS$DB!8CNxE3wolQ}>r*skY>M7rI87J1PSZO<)AUT_
zG`$uxO$EYuY42(3Z$3>6rKYLn<0<NpG(|g?P0^m7N$Tl4N#j3G(2d>`wCCYJI>YcE
zm5TjK-?#mtl{5d)V9sx9>oHDO?EgjmBYx7Bh%p*}V3byQ{-B=BcY0d#8$I&)3zbX%
zOpln4(2oB;Ql-dYnm+pjHOYKOm1g}%J;Qk(-$R3REq8z#B)_5^k6zI2lF#YC<xeU0
z>!%g5z4Uu_54}|Ki2geNkp9c<pbwJTXxzRQy3V1Q+GyUVai1Hg!L_?|_paM?`@CAJ
z*F@;Z4wl~IzeW2qZqT)=*QiZVIekCx3SE2hBF&j9rN4Yi=!wQc8l;j>9|fMH&ug-2
zJ^vY+x-x@C97(4aD^sZTs}t03W&$-{6h{Ybqp521G1~VngzC=OPd#+^(st7ww4J-1
zmLm_!8m_0#YL2vFhAj<yzlyT;T-tuxl>YQKq$T<bsqVM=w7o)we)6A7`&H-A{w^_U
z93e!p>jW__{Ys8}8zO3)K2j0dLI!ay3Hn({`j(WCcK<WvXJI1wcs-P)YHlM|r>%&n
z_+nBYCquL)#;~DsJw_-MuX$pMXLc5|n_uLc{(khGbEwV}m@g~>2`)XL^r`@K$yJ8&
zhfSc3*;=SK;tP#qj={9ZB)INI7F^d?0_8?3VaJaeDEF}$nmp=(m1VDC=blecUVR)M
z-NuhRb!MW{w-RVPOB#u<R6seeRgmZY`AB?17sZDfpx{r&=$tb|l~<Od^gkA82-%|e
zKnJuu%LS3^8&St?Pqh5D7rIxu1DRy(L7x8m(1^hy^yFO_YD|kjJ+jeAYEvvq&x%J&
zIug*(-xKJldJ6h%mWB*nP9lwM8R&}7X>?~>7DBFPk^G8t2x;V@Gk^2Z%(g;w{8TX#
za6XUxXIwznZj_-r>o1{`UoWFMkyjC#S%E&sR-%P}uAwL1H_(s9o5+9OEu^)p8mU*X
z$npb5$qE$xUS5O3J!;X+fI5_X=r)o#cn2Ndc^AEMsYe<n4ai*V9&e)Q9umoJL{}Z}
zBZbNP$fK|cIm2e8_@EhO+CM<eO%G6mX$y+WZ9!tcThKb&R<u366@iXc)I8ma=Igd0
zYpXWITlj~BecI4@?>4l+y$z*XwxRc0ZD`?SE85%IiY}+Lq9LnRr1h%>C7o+QYMd7I
z;=u#-!07?{-r0<HSTv(06-{X4>?SnscOQx0YD86k?xAs$d+38-13HsdkLFa~Mc()C
zpu+Ck=t*B4QtqxrQH?c7s)C~TsRXI*!04taiy9_xq20Ars4n;>!s<6rT+=mV;8Te@
z{*<G*<5$sk$t&nY(j_D&a1p%=x`4ow^GFetppx_=Bsx@pJoNKXd0;M*xtfF6!EAI<
zDho}6)2Mw@23maRByvtlL)JMdXmLprlDUwGbV`n+gq%3EIynY~ghcTo4j)4oqr%WO
zbO;Fz??bgId(j`=ov4fYpaT}$5a*r;azh)?{7dUl^K1tc5nzk*?^_}_Idk-%Cxh||
zOwo;JOVO^`i_sr5T~y{bAC)DlqBUiTsOgR@+SW50tsD|VO(Vi+<tQI2`ZNxUhCjo{
z18?A~M^B++-9wmMavwUz)xgJI*Wndz84QuhgGKL8!B&z0x66h@#hd={rjsjN@MQ%&
zk-P{BFP;mxcL~6-uP=a~Z58ORNCKNzTLH5(A2~t2b2tqz4cVZ5f7tV4YjH(pDmG52
z#=ksYVFNKiviq?-*`BhH<Qp$1LQT%(n}sh~bv1;{osJ`0bJNJF#b=4#jbidp?<#qi
zaf@8|dYddV<8{7|JR$;Do{{6NZ^-YbBjn4IpJZ<H6#4N;kVbJt=tPDDResNlkZveP
zUj`}Ci3=)JxkrP}`Kd+ENGzn$iU#zSvJw3tZAyPkL3;VM8GTu`l6oCmO{KWDwCA%u
zJ)Gf0Tl8INA=yA%pa-=q-$Hw2yy)J&zO;w<(;vTg(>n_T=_`j|ihK{!D|<ueO#dU)
z+w~ZA;*Ik<@kdhyuNYcZ6H8x9#?$JJ$Ejv+0u_9cNDoLPQ74#8^LYB0b2OFeo=T&>
zh3WM9g_AU*^b~c=&7k&4nba@%G(GElhPLZwQPJO7bmg6F8hY$3Enb#GYv1yabdFwJ
zm`iup=hE3udGu^w9{uT>PZzi4)0MD*Y8DjG-iZRbbzLF7Ur<OV-xkuDnnm=DTM<1M
zQ$*3lB1#*JsQS|)>iu64jUFzd$9Z%=FK>6hh}Wkmq7P$>Xx2s^Z$S~=`Js@8pD(1>
zHWpF|;X-=yQUP_h;*Baj&!^NspL&1EqkH${(Kkc6^r3SuH7DmNqj-+q-<Lxt8_v>K
z5@+dg$87rhL>6_tbA}!tIZf|KpQaN_GpUPR25s~>Mg9FwQrlhW^yrQ>s=OtYsyn36
z%baA|qm)Do#}lb~X9C@uf1IB5kEezDarE-X7}`@DO&6|@qE-BnRKhu&hG&G)hpmUH
z-S`1IS237wH4LO{%=XYfD|XTYz>ogX_NLdxx6!V5n`s7ir?aBmXoR^76&iP>kIvgu
zAv;?t^nNuJI=YG~h_0Z=QW@Se1N3XO30?ogkY3-knCjQ+QPa8F^viBdx}U1j-vY|?
z+UmKKM$1rtI-8D<h|_o_5xU$$h%Vp3M?XvcA>)?c3IBm%;(2b6#Me9}<BuN^{tqo=
ze5{@vogidr>N<~JB2Ru65zkL&iRa6cWMO+EalujKg5`d4LDrkxA6!Q?%2$!Mhm456
zxh826l_tj?^OGMd-{8vw4R}v{G43{r#^;|};9uJXv5QzdyUlLtt*hP#IZhY;ay+!n
zfN#f95HUX={B5oSi(OuV#D)og#Ad<6=T+cKgT+wmA{S~&*~1UM9?<gAF4*!U6!wP3
z!nTPdC~`0ZN)P400E=Qcntcgs4_$+=R585ea0f>3Yl6w~9q>%bV;+4DTY`q5gZ(h9
zQuqdM_x^%PF_X|qN&vOF38RmhA}F*~9QlsVLZQmisMu5vUA0j_DbC7B+F2FNv(`W<
z#tRT5uY*Ls>Y?E}ebgJh1QnYZp`~9;(56fd8eW3X>$_YeZM^~oG^|9!MwVz(wiUYi
z!v<Ylxd!>ftwq&!jwt4%GinoeMWGsQXw#yN$VqP#3RK>VQu((a_W4%Sc4<4x-tCRJ
z8onsD)enX3@JG|*JCW|u-H09CgW9$PAZ}eCl9{~^8My|d)a3n01s_1YeFst7heN3M
z^I<ggUkI{#6pD%~!;nnW5tO?6C{md`irBJnWVQMj8t6TSvfU#Pw<`jDniq)-)<mLT
z!I8)&GZLv)MxwZTktp&}B%1v+5}7@VM8dt1XkSYtI>JUGy#iiYB<~mxUYTJe@|cW3
z<tY&;c1{EuNI1r;BkvmP!cq45qv-0#BPeCT5wvt&7<#=w6lEobAjgcuNc-d=WEgW0
zCGR|dkmY`KSSA>0^#`G-v_N#38-S8t?Liw4?nYYtyU>hif28!=4@G+WqP30Qs6fdJ
zMfz<+voCHz2VZYSk0d<Md_#A1(RKskxUWa^x4NK<9?s~7gCjZ!)*?m4H7Ng^4O(@_
z3eAt>>8Dkz(BEGx(5ezMwA-3N8{Pl}4x6G4f+nc@_)>I9XbJiks*i*}=%IfOI%sy~
z0yJMl6Gd!NLyIrWLkB-8qKJia(Lrxnlz3(idVX&fiufdsG9*P2XW<N#w^9)Oap6Nf
z4S(Ur$7AsFi!X4=ix1GDX9(_XcmZ!+>VwINUC`326)KxF!sO{X_@R-7dt<Ld_vKgM
z<d5@kxHuoKcF2YyKTpCd*-0<}#KG=M;qb+aAoxwp2Lh7~Fw)%)?m1!xzvmc2DLfy(
z?~#W}Uq#`#%wMp@ZUDH(G=W8Tt^y6d3~)0g7y!K$V0*7P2-CaH2`rQ2gq+?~J+wNC
zJv#l4ea~p)2YnlH)`d8n)tQgy4YByu>n?nzX&86e@sos7NuoKbNV<%)$yaaQe?5LV
zd7EuVG|st^x5-{aa&G|9V8V#Yzi3kWFoB5Yq!OD=nZ!gYhwP{+An6{Z#Pi!_G9G%3
zjE~<U;=5{yc-LJ*ct%0xp*B)k-9=o6dr9N0=j5990BJP*k2LCkB*98wN#~zY65slp
z*d|YsJ!<@P#y&y%k_yxJ6Eo>QQ!)D9UxMB~HH)sTlA@6v(saWsS$gT6Jl*h4fo^}P
zMC;n-QE*+AcBiP*J=-<uzeNk^q0d^hpj3yRcGaUx{w}0mXY}b3Jp&qbV+n;uOX=E+
zM)Z=b3Egmb88zrKrK{8cb@PEVq5#oHT?|$H&855LmeZTME9kqW=Jc=OO8Q7^72Pdm
zLEn9|pa#vB6lAQX-(0QeZV78zN37|k%{CPLw4sqPw)D_UJ8BSRM-P3oqkGn`p);<n
zp^(p>YFXLSmM9**X-^%V+0!}W_B2{_EiIa}mIlmTOGgFPQf9=SI=0!<d4=}$?k;=k
zv&f!`46UJeQ`gX#rE92Ds~xp+x1&z4Y-y;wE$wZ!p)p1_G$q}dPQA6Fua{U+oqemR
z$|Xx$+;2hKCRWj_3afZ>R?;aGa~isg=gF(ToNiJ!qr-e$n)MRVl<SbbJ_=~{3Jw+d
zyNtfRVnTh^8`Gj+OL_CkhV-%e5<2tpV(Pv~pSGUo^=ahwXmq3wo%u$K&RM>Iww%<Y
zmao)l)O<DCvt5P4v&yumMUh?}olD=#%hM!dS^B_Mns&QO(E{&T)N6+XRq_?1-#3d;
zCC3@`G$TZlGzI7qA)fBK`;ROP949U^qa?lj3o%*#ksQ7MA0ZZlgrB@1MC%C=KhZ<f
z-*pmO)JhuT@00PiyX1{%Eon4oiTu7BME+bkd3yUIIsT%ATpP<L;WKlHtK4a#p_)$Y
zG?R#_W;~HpjUs#WLx`7L04W&vCIvn2#Ne_c`F><IxoyLcq&Z8;M4vYCIy;Yexl5A?
zc@grv^dH_b?>!Db*^SL--o{^!UBafnGx62~k@)t94cKDL0H2naf#dxtd%x0|)!oZf
zpKy3@+V}1Rr?2Tb=OB^?e-ADP&8Pf8tMze^WpWO*&aMRWo-}~0<UX)k|077bH3>MG
zBJj~lX{h){8SXx;1)HY~;EfOf6W^|ce^;)7@6udhey1mNoAiUV%0cj=UMTdIiGtdR
zaq!j8L>S_p3UA#!1>J?RV91(tFe{+|rqq<cd2h?0p}<ubB6kh8s#HN~WelYyYhm^1
z9XQ;14=&AbhHcy1pp)W5xT&!lPI>h~>7P$wOxQ~(Jvsn;x4eZub?;%;tWR+Dx-W2b
z!gqM(+8ESs8;7_0|3c-yNvP?~hXfz<qZ%_oG`CO)&HX2g?mNsxlIKLwm)D}mR7D)U
zT_=IwMoJ>nvRUZM{n_Z@3n}#F(;Q?sDvj>{kU@4IWzp}aawxZ69=R6HMG~P3=$efp
zS|p`}avv(8-|@<5ndv;V?BzTpe^do^N~@yaB30C>qlP}0s-Z?@brhVaj>f;JBU^h7
zUYQ1R`J#cwjWm&Gpe8z6qKW(;Y9jSfO;kB+K9bX%kJc@okNgbhqo76e(Pq{8$XIkf
z`t?Z@RWxZLzq6W1)khQcX=|dAK@Aj?sev}H;9*D|9SK)QgHq}!EmsYtsjHz+xvJ>w
z992|uOa;llorlC$%|mI~%BbSK67pN3gm9oD>c6Of?me4}(uL<DIX!t)xmpg{ddQ;j
zoigajK4~-(JO?e`D}|nHn~g@+&O)9hlE_w80zLUGhQ#Ydk$9>Idg3}09hIAb)VqXG
zW2_(wHWolzUhttmQ&Uh7O~7Y6|G=8mU-03@QMeO-gZt|~Ljn8|hF^RSY3f_JZ1*6P
zU;YXP&wLJpoBN^vvB%I={}If6)B$$}w89#JW~h;N5AK(_3+JZSLP=o)yMk{)&8OGl
zE>HnyoxBYH4qbqm1|?AVKmpu-^Bgb8M;44!&xG9$>F~wjWGI}Q01wr~LW{mgc=Tx~
z?3~;O)s=R^MguRng}VvLTdafB!Vao0Uj<hfBlwvYfT~k+A&ei>fIIpX;l1iPaCwF(
ztlYy7gOC3JE=EJZ<=G=3A6XBUX<Y}`S_(mUKsq=s7YW>sZUx(VmV;U&RWQ%=AE#A?
za^4vSb7WfvOcNp!Z@q|;W+j>u*=3ro>;qk4T(wXOdr7axhX#CbjBPYlkvWC0b`;^^
z!`JcSIrUgOrwb3y9>A@^UvYH(6lN!9kg>E`L}#u%nL4FHbOg1?l%GC{xou1sQHE$+
zuOdZ<ZOP0WClXz;fvm3DLPD<il8}r&Wc8l?#AjI;*>yOQ%xaGz9EIa#*5(sLC@Y2R
zYDp(Ieq;~@nJmKLjnmEtc_firNOo~b$N}98q;~ctBJ}wRvA<hERwZ61kF2Z6tchw;
zTS~}t%UZJX>1}eutDYzf-XjNGo5=NA-kL7OHln|~gB-j5kgOSbM2;yxCeN1lkppf|
z2*>Lg`EUCRlCl03S!^~y4k`?h%=d4|_RIf~Z`<CJZ(_sb#Kn)K4vr9T`!jjB>?;v2
z`bHwBzY}5SQIg5?Ioi<ilPviCi!6};O_X&0knaoslG_^pNR;>l@%k`99PlKuJTgUQ
zE}bS<o=%fg#7EgEKI+`SM?EI^=)e+w`f)Qq4UOTaF(v#|r;eXGb@6yFco^cR9y~Zd
z=cnZz{4|X4(}8?`S|85iyYbT!U4D9YjE`DVK3X2ilV!w5ueMDSE3Ikb8$3mfZcdWe
z_Y<UiHV=#bkv`@xkum>6e8F$RE*K{s!oP^jvoYdPGD=jp{~$p!-$@w#N~YI;A*t_1
zh|Hc(JUYzFe<1Dj9TAoLkF@)|A)hV{lJ>W+iHF=Pp3E0ScjGg{?s`Hz_V*EP@MDs_
zqnl*AbP=v;C-2(rL}s9cc$7608Nd5vTKOKaZn;aG18$R_Vznf;fDmVWmWW=jA~FUy
zNNh<Z37S(*WJ4~Kxc)NoX-O#wiYg|4?FFP=Dvy*n<Pfv?EK<Q{65}@~$)HFY`Kg;s
z&RQfAG52_4yfcQR9f%~dzru+1p93UzG=PM?^(U$wUL>e|Gx-$fMh4xS$a!@;viXe#
zsVFcbIqNwjM|dgeuUtrexh^2T##G3W^tmKXXAT*pV#Lo*h<ENkTz=;Z4r?F8VUHhU
z=O@iPP%PV5j?KCYaeI3PE^m&<y)pZ7%n^5d_uvZrc)u3Da#$QI3cq2$=~l9Sb%)p>
z*V!!BPrdpmK4LmTwK#jU<2hcAg!5qi2<L6iY#=$V3%a<gK-V4*&=hw7oNR~(>dP{~
zo16l0?)w$60%5Rhe<N6w+Xcd_UVx`HAAsHUF|fjp5BeL;fSpnj(DuJMFurmwGznCJ
z{0rv8a~-;n7ZVcRn>2>~F%bGqEr;v&Si*Z9ws5(oBh1<93gb)M;gg43VEPwt=sE2V
z<pctt+^=95|NJoAapNcyuZx5xiZL*LZye;O$6@JIBIM1S!T7*bc<)>~%(-(4ia*bU
z3%{I!>A$n#j=woDXEYa%yvc{2ZG~{;QZclNI1l62T!47iMR?@FB{&#z1%6U1hiB_5
zV7c=(DD&bv9N2sl$~>-ufh()wz<CyyOktSjK%rk|4K(Yjg`fCu!yvsoP}TY_4BJ!>
z&w4k&Ft2-1bweYJU3nkYYc#>^@g_LX&<yKi9zZA50z==mK&OOOSg+Ow$F8=)sU_{u
z=VCi#<U3$iXa{uc?tsbaozUB-6F$!Cgs<8=;ok3^@QnCFct-glG}PdY&&}hdB_BfX
zF<yCBC$uc-gi*VB(BmEZvI80(?|`qgJ77p{JDjv`hXE~ZP-JBrEUsvUPSQN=X@PCE
z4`8<712|^h3{wv@K{o$B^tjUqQ~U10)VB>VcDNpT{C5}1Jh=nQ>u*En;yO4TS_=nk
zYM{|<3ftQ;Y=~l^tU)!@?XH5K_TGd+{5N2G@-?U{RSC<J%Av>f6{x!VGE{wd5uROC
z21_DKp=@Uf^ph=yXI%<mLsC9$ug!&`?{i?P*jebIlLhO|PQ&uG8PIyeNnV?#!SW3$
zaKIr6POnIWL5q$<<2i9~^Y>^d+a3u;EyAJ4n-G{CdH{YD4&t@zZfM271GWWu!Kr>v
z=ws>*Ly}!#@-s&mqP_+uZ?S@VPp^bO8oBVpXAX3bGKO0E2Jpj5J$T1?0lea&1|7F4
z!N*(W;H^zk@Q0H)^j<XsK3>8P7aRWuZquJZbK@KEDCQ~HZT1kn``!q6;VZywhihQN
zcqypMI|sg*p9C+4;sF*81+uGsKzocM7^p`eRzMpBS<V5zvVS-O7awwh)?DC-j)rnR
z?$zO}R=jK)*=}s&8kt``q^iNjKMZC^<`=Ug_gdKzi&3_sOA`Bi)xc^0mf^TDTa5cX
zv0mvuyuC6S3r8m71*^~C1(OAM!^KNj$?7J4&|8bWHZ<YyEf4X6#ZU32$RTXd_zBnj
z8pHOAQ}}nLAPJWhA@qa<*)lFg=q5ShTBS&y3aXO*wwfe7R-0(tT1b{XHz4xAjL2tU
z4xwTU5fEBI_J3bRj`vs*yGwRNa=!yPX1I<V7+g>C;@rufd7eb@;x>|}<wF$C>>z9Y
z>>~d;1d!S@`$$*U0kUTDFxjengqSWmMvk6|BrBwNc58GDsr(#EY@OrDx$@)Wq(CD1
z?0AASo=zhCkCO=zOC|eY8riWeo#aHEBtvITksTK@$nuIzGE#n;RF<A0o~N^jcz8A`
z-F%j;Fv%g;1kaH-t>?(o#9VUHJddb<%_H%r^T|Eq0@B}7K<;fQBsMP#$&pP(#O7fU
zsbGqE-`--f?_V+La3~=oXG=&2&qmod_dKbvJx?0;^Kkk+Ia_(2sMen+VXeG;+j;V{
z@jRKnb)JY8oF_7o=ZT6tk1piV(Gnt4RYFwumJl7)5@OX{Oj7-e$uxg4iOnb?Mk+<T
za|(%yVj;0gDj?ZE^NG&Je6s0g9#NT@M*>}PiBtAD^07CE=t$%c5#}sO@yaHx(OG2j
z+!=x@PLnevlT6fQkf@qdMC!&#B2}DDqLR{xS3oLxV3$G))RW1-uP2BSNhAx7CJ<qG
zoYZ}dBijpOiNTr}0=`9&4QY`i&G{Jl6mo>{0s)eBWe16IMKIZXIgkY9?jhE(JBf#v
zA2BlZCV_n0NNW9N!VPsN#X4?8rehru-Q`G(rq&QP(T2!Kt|r+DD~Z*F842`9gxg_C
z`W6}!ZqyR;v1<_-P}C(>n-`Fe+3KYD;XI<kr%0|Ylp|w~bI4erB<VdNN`?!C$)+3p
zWFq_@K9e?z4bOhU^Ul4&lc%5KkP|(a32DQxx81{cEo$&mjhk5I-({TIRgA-mbMV=~
zQ#cHrz`6p_I5l-Y9+UOPZQ1Lvj>0Oelf4wj%+<izr=>7go)0@3zGf#mx7iQ2d8|-#
z2s>Yb!?L{}s||}Bt1k|2Smqj)XX^EOHpk+b6UV$ef#a%viL+%x3ui^}Fh`vT0sqUg
zKq6@Yknk`863Uj~X|oI1zug<$9}Wgj7Ds{QFA{)UWIFIv%m(|)3V^s?8Q51)0f<O7
z81ktDBR3m?$<H<*r`rQe);<HveFnkE?hicr6+Bt{3#jW%f}wGKIOHM>#V?A$9i!s#
z*Rt7gC{P;m7s<gV4;0{z_sa0egev40)r335wcwDTF1+_+Ate2a;l3M&@Ln`ezuK6>
zI3Wnv-D04h$8u=>%N(AKw}4_2R!}vbx1MXv4vKDE3yrQh!oCS-SYqZ18-m^7;JJ-Z
zk8FbXS~tV^t}U>$WgBd)_JTCa2QJ&=2d|m<!{gs}LRzpJs;}A$Pxc4E<J*GZ@fZ8x
zn>G7kW5of;FMJ4&uRRRM6GLD;4u$H^!eH>1Be3)*Pk(<4hb}LV!Opq}c-bZrzPu6%
zEkvT=j4e@6syqs={TT(jO`~DKzG(QMG#ak$iG~J$qv39)7$|HK17};uz!NSpaJzd9
ztlP*-JIBDA7BTS9k{EbfHU=h*M#GnF(Xc8n8cz80(u<>E)JPP(eLf0CxkbU3{88}z
zg-DpRIugFAiGUIV$KaOV;c$ykIJ_ow6bk$agW-draR2QPxHIiAOmIB}%OnrNl{NdJ
zkY_Ng9SwpR5rL4y7Xber+yie6?1G8rJK^HfJD}ogUpQaY2P(RF!HePBpnd)pc%y1F
z6sq3@SKiwQ6>8jI*(Fz)m%0uf*yRMDaUI|vVSA|AWDCo}tzm-xYIwhU72FzR4vz^h
zhX+nEaMxT2Z)BRni=rm*+o7dU=%oRyW%S|73_Y0fMjJlYUjTOnYQT&us?cpv8E%tO
zgb`34-q<Vy|AtCIx090aTd^42T{#oxR|~-#m>*u<H3`N%#=)4ycW_nn6A1kM78o_X
z0#?aSz?5A#5D{nxS8v=0jOQI7%}>D6{2QRx^ePZ(Ed^~G3V`omHi-2*1%f^#0b{>7
zFnBi{{Hh27>Dk^uJlqZJ*lY`qA};WhTLLOSYXG@MSzvN@Cb;lojI%%S8D}oK%Q^L>
zl%sz!iL<fGi(~0!z%i8=Gktb6$<!_&d0CT^SoMeBSF2~aiLtzGL)brM`&ftMQ>>QZ
zRW|C*eYS`5n(fK@&8mDA!8-ABxPG=Ko=P;pug4I+>THce^IdT9v#t2G&>kGB8iIqQ
zqcIjwz<&QyaM)l5cCI^%f2I^*>{5z9&ANhr)?LH8+pDqB?;7kIQ;$RWn{i-pJO0@B
z2#+o9$4f(AV3Ddp+&1`*S2lv{rN84bxnH<V^dHXtGL4121PJH85cyAiCQ&#bN)Fr+
zC&vV4k*#J@WNwf&5zLV#Yii_)!ea%Z@K%W&_%x5`e^e!Tuhq%dHcj%UVgad5&?ej5
zb$K!tk~Oav5rxdfM03RwvTMMQD1;c1^)pOJ*@<Q3I!_<3KLkk43rI{ML-r?eNp6oB
zxi)77dAi!1+z(tyzND=pi!NA@Yu7Ewg&V60y=X=JGp)(fgEoZP+mdC9cEt9%9qBx^
zhRB=Slg=S~VtZsQi5GPso+%DQeWoLMa*&6ojzrzqiNr@ak)cK>QaR~F?k#dAYL3oi
zWQQ~1JLF8_LY>KxU}rM8&6%WGI+F?&XJR(uMAEJ~k#)PANWY>J>A3AkHoH5LxM2rk
z6X-xXKCUGr9&3rsJ$quJVNc=@t|80s+7VBFJ0cEk$+({lIhSNjIxq0*jaL)@yOu=#
zjs@|rT1ET|SCa8)bMj{M3L;>zoP_`464z>m9N&w`XJts9)^o`It)^t>m<g$gG$xY5
zMkFE1kgWe@Ks3D<ldsK-$SkdeBqB_gta_l$^U2a8LJsqZTf7FzXVu7!K^0OfG>_D(
zE0G9O1@e5gJbC0GOE}KbByp`2vA38-E*eP?#d%_6H=hW3^h%g_o*;R2f}iwWo5F1?
z|6-k%pV-RkJJum1I8gHg@11&s+2^mY@1kc|CAb&&UhBfy@7l1FTr<APZNO8T>+sk?
zj8l)_#B4?dZa;eotLB`?9+?F=HX#SchMdN%cRCKVOTr%d@i<I03b!>K#sdfT;*ZMS
zIJI^o)^&5hpFUaO{&0wG#FyaZnF}z#k`gw_n~m?O3FA)lpKSb!0ak8R8|!IN&6-#j
zu{mp#+4Rc+tWAq0+cBoZZr(an-9MUIZL<H%EhoTT=JD0lbTcnp?a1&<PKDZ1PR`Oz
zoE@j4IG+Dbb1Gdfb3D)8=A?IabNENzamL5~ayo)%f?r$a05LOVux^$X(Can;{fPi<
zUbYGhcC7&o9_zuU{w+NJ0DquYybrAV5(aE!qrtt4@!*$n5{Ro#191kKz$`BthzaC@
zPn(NCT6rn39=ilo4J$yywi{qDt{SKoQlMLT8#v!=03}zNKv-5Q=sVO2M0wvXnK^wR
zyZtE;4SNZul?H)P#am!y@&RzmdEYsOub}tP576866V!|R0an}z;JbYq04_f~aaRET
zGZTWdtAyb}&6&_GQ3NJ_5QVeM#o?@U37Ggq61pkQh6mS4K@d9!UMiP{N)Kfq{2&WA
z{*i-)0(0RRK?RsRp#Y;lE5f2aC78u3!<6)SFlM_7oYGT;y~C<-X^|R~c2b8SztmxJ
zrUsnU(}eR_O_;^Zhj-ceFl*5QIC^FQ)c(5wzH-%qd&{)o<?mYXwy`$cxK|st<ZHt@
z5454-ur|~d(1D}UI`FQt4)mF)17FMPz@@@EFy^y1?CsEoQ>EHa=a4pZTCNR?r?g;O
zwH8#_p#=kHYr&6|3!tyf0%-JfKAhe@AF965gl3yHVO)m>RO4vCp=@>d>xUXNUabZ{
zrK!U9ZWTB!sRBJ#&V!<Rm7&o|B^Xwr2nQM!pzq_kaNvbJbbciVMW4#Tfp!@fOQc~?
z!5rv(ObWKU&4y;WvtZDu1Wd!?FzB!tG&2;1KZj<*ptKpVZ<#RE?GuE)K?2ZMh#xZA
z)1VbhfDrRPAj|9*&^8<e(R056$FUKR+%yaf)7}9?$2VY9XaEFUe*ubIp91DfFIXDU
z4N_)21X*!yV05Ax6zypQj*stxE5>!;N)iF?&u@Xr`8PnaUj^_kz6`XVTmY|Tlz>+T
z1)$aG92nh`1sr2D!0_obP|fq_l)ii%I9`nb&8`vPo$X;T+cXduDDU9eds~1(n;S4V
z=Kvn~Sb_I?%fb8MWnjVi#lXT{3v`RCfbJSu@Nb6%0MbGrHh7%VQ2UM(B-F=IwZG44
z&#2;rJul&$RnOo|`$cm?y}UU~`B!m7O4T{=!j$Pt`C3!Dc)zLr^owPDrj=D8!b;Ve
z!>QFbu5?u|(-LL<pXjk~_SmtF?{~4kisIN`^`}|A-cpwD=`Hqr%YC+^w3l7C??3ju
z-cNS>4gq{~i5PDFJO|G%P{iGq8u-CWUHoFVA%5_ggDt#PV6SE?ET!gvXZWwj?~6C%
zja}Zj>gz82U~(UR@h=3g9ge_Ty<_nGmUz5K_XPeDo`QF_rsG`6Oq^hyh4n*n@UwzE
zY<{~CU+*cw39m0;&B06fS^rfm*jS0pFWkVn;kR&&9p;@=gHJWp;oO6F@k51sc+s`{
z_yYF<wySH!JB>Q<`rL<D^4}wT%Hc77d!~;k?+F$ZdX5uxUSiV~ukl>FLHy9>4X#1|
z;bZFW@vgrgaANaE9FZ`Bc{{w}%y(b$?&$B>Kx!06rjKD^p<npH&T)LZ;Wz#+`4?}n
z|A!00C-8%!N!*R6c>HPnWh)=a?dKzJZTQKToBYIFL4fEV5+K(*1jrv%L6WdjkX$bp
zB!4~%^8E0HNR5*aF%1<WT{%Kz>n$Pj_JI&d=oKPso(mEEXFPQC()WbOvvOYfNnSoc
zh?rXnk^M44<jZrOtUN(dvr&*pO7dh<0aC{6KdclIAYTjkN#Zho@?Rq#iE!W})g{xI
zDVV~;sgw9_@B|L9`-fM{|HWB-zwzA@<G9-R7w+vE!zx~*c;Nka+`j!AHtPC<>y19+
zz!RTvYX2~<SNecuT;5@wsJFPdbO@*38NjIzU*YM;FK}$vGaS_L1gl=|!-K~kV_A=G
zT(O`FpZ~7|pU-Q<>(;hlv9Tr`bgB`j=``SqsykQ@*6}FCgE|=Fj9b|F_YHi0{WXlQ
zl;eiKmvPXli&!?M6mPCA#x`FHaED?Z9$B7)bGBq*laNd-o_rFk<)q?$#Yvd2Gy!)M
z#o;4oqcNXS1l~6ug421Mnv?83c*MgG$IETQ3!B`r_&ygrB)b;>x?zQF)|lh;7ZA(&
z8)K8t`q*Z-Hr9KmhK)THv0s-oR$U>1OD+pzBb_OB;LA65pyCaiy|<68*K1*m-`23c
zITh@HLlG+@kjVyKk7sW+1+&O#BkNFT#?FzS&qim6u>WbisQyo*ta|lEpX%+dKX3WB
zCsx^yRxb1ZYHs?nC)0F~e2b|Cnlu&6R^ZeeGUC*j+H=f@e0k{zPW<6yPOu(t9Y$v<
zN5cCC=gqs@9QjRc9C_N$2^M|JS!nZ(v;5Emr{7ixRIC*Pd{$CG)<hmy&z%R%zG;Ap
zIvrpZxfrAYW5D+g0KWL;z*x}|{K~flHgg@pz8F^!H|P#JjCh{Xhkd~EYdgV6e*jqi
zZ9jPOCj<nKhJ%HHJUjGd3|MCo55$TSK*R47K-DG%^rfbOkL@Rcs6Zx&H8=x2)@6f%
zy*WT7G8c%R$OqFW3PDLsF(}!89*Azb0E|p8^7Q0oz&^SH>eI`?!0JjM^Zgo_K6L{)
zFRB78xdr-`v%rI5kgZPv_jC;y8?6Ox*0+K0$vYsh>n^YoY5=K=?*S|OMi98|J`mm2
z1Y~wLgH+E4Ak4Z2^l7((l7FpW;C>s3jc*6m+zt@-z5_HQbOK$qhrs#DLtwVJ3z(I5
zfePtIVDR80p!e_*Fjnmb6<*!EzCt%J?(7Di#=3#uoF4FVeh;wL?*Y>bdq9|44-ggW
z0p%aN0bAb<VpF?;uX8u>5aZ>^BcQwW5t#nl1-L0)AXTmljAcCJ-S0y%w!af_dpiIx
zSRE)n(hdUewt-?^9Y5;x;M&3~e*k<Fo59D-CJ>r+9|Wd1g0_fz;I(f9m|9g2dgbo|
z>A~ATq__@LyVru&nKghZCt#Bu2BEL30e9~$F#Y2uXb8Fi`rcgwXI(47W?Bw{6t054
zfXg7Y?jo<<%7BwaDYzO|0ybSP0#n@uAbTtiw9U>1*$Z;Olu<UALT5lWHxsmRPVw45
z9XKhcf?~mBkosRD@U1@%V$Z~ZKED{?VH5>)euRTf2Sb6=mjmFcXAo#>*bSUicYy3b
zFJQ%bf~lVyfyiQ4;Ir8gRL9zZsnXRT`;Ix#>1M#ym!?2xXek(br4QK0I-sOU6SUt@
z0bw}`!1<UADEFKNK5|5XsH6}WuAAhvZXD%kfB3+;vi}vw{a+6!B(jBbm;VlDIJ}Az
zGk%FPwYz{*{34SRXnTTlW?uy7&e~m^!}{wvOT^7NhesB29J=H<mV}REiuz48CCW|L
ze26wxu3c)XUsSWqJXXWR@XM)ND|_Zun@$8)D<3PWj(Xc#y~lK{`g-LoR&()uHX(z<
zz8zY_u2<j2uCYD9o?9HtN-Rocf6vQizX%tz=C7`>_b=UIw|d`Ub0u5Y@QdB7fXNGX
z(Y610$9!e49r?`;z2(D0vBJDQv>1*rorQySWUzX{Tzpbu9`+AX$6Hz!V5*>ppL#CF
zTh1=Uc5TbB<adY##g^kP`Bgkv;WgrR_|K2ESo5JXZYo%h^Ss@0nUW{&YTAbN{e1A&
zKRfWTW4rO&u>gE(b1+W0brA353&o~pNAamW5%`={6h8Sd8izZ_;w|lQc$xWeeC=ui
z-Y<OuFWQ%cPc|pxak*4XJ<@Ra*>r6F@Fc!IaSCf{X5y7APUCH^XK=*!ENt(WjTODm
z;>-;>c)R5}Y@nBmFA3-22hZ~G>9TxWwWk1UEiA;AuM4qvauI&Kv>0bSEXJFBOR&z5
z5`6XGd7Sd?Jl63l#i6aGxL5B2PKmsLi#jjh0GTqp+OZ6`Mwj84<z;xZvkYgw=kdnN
zu;Wx2_MRxi+CO;wS7mtKJs!V+mk%z(x431vXzBvaVtKOsd62q*hbv3*s8uO;?>&$A
zdYs3GPfM_)LkSM3DaONU#aQ}i5q{lOh@DgmakWnY_Bo%AMPBCNu~~Vz7v|zkp69Sm
zSPsrkJByw2v+-1E7B0SU26GEfW0j0dJa#Mt`}&;1p{q_}9i?;}`Y{#zR;6I8!^ybb
zI0+jKC*suX1f0riXO%Z`m>U_3KhBN8I+vsHm}w-o3=hZ3QDJya*kRn_e*hQS@54V9
z1mGE?yYS2E9r$pN5AIRhjvX33@dwXM*zl_xZVhq4)qfqa(*b*&{htl)bzF^AuCK&0
zy!T|<1L3o!rg-q35pK{}f-77WVViIrEM77ni{Dejr7x7R|Bt!YUqBYyN=jjWX$dSL
zBZ5Cm3SkLBKD_PyIJ@iiSJo~4J)5!VHM>%?pY3|v$^I#9Vg)zeW=+Mb*_!HdR>QND
zy*8c8K0TMoE;31Gm$k*PvziaFnm>KnGWGSWzP%-D9%jtmFV$q9^~_<nPV=#sod&9_
z%5GQRp31F`e|)Igrq#HbzkBc&Z2-46T9=rp+$>+l)lf7wvhy%iEKN1dPp>p>-qU4z
z(B!*m*02aCOHYwAZ@nHTYbWGX2iS5pZFT1qoA2ZVN``U<yka@+CdnMp=?qSN-8oL%
zffA00+7(VQzQGAxO*z^1^_;6qS~yqJx;Q#-`#Dy6uQ^WJ-f^rFKXV3($2jGc|2Tac
z_yM<52>2oqFqSJ0Qh&_?saDcpELjftwkm*uDP>Tvrv^mVXo6{PE#R?V7u1I?0;z`#
zfbXuQpxD&}Y%=EX>;(jvPA>2{u>$y@RX}IJ68MB!gAfrr;FxR=CIuaVc91g&c;o_7
zwB3MC&_?jOViS-a+6?ZBZUswqwgVOD4YJLA!Ibe1Fg9-|=pEk$hVSnIDe(c|E(`)O
zulIr8!}~$Cz(LR&c?bl2KMW>aLc!fjVL<xF5s<Yw95`-12C~8<0BaKoxb2a^!!`=Y
z+~vVA8hD(I2B{O#K-4`3v{%G{u&Ef(U>ys7o`?kv&9R_wG8V)xjsszCaiBaj4z%;W
z`$pwF)bY|yaiF9%4#+-;13`D<0KOIntk1=Ph6tW+@Qeexro1wdIAHcT7L??~0_RP!
zz)bf4a$`W>!59#$5(8B4MDzI3py6v22#SaTVxmzXEjbeKiA93Vf)OC?T{tkieH8ee
zI071M!+_aT2>4Wb7~oZhz~-I<K+SzWkM0AqtAc=aX#jAZ*aP~kcZ0s;JArfU4)Eze
zU!EKv@JY@K{G7K9gehzReqx(J$(TF%)Vl$gRjdbR!(D*&YG*Lbdmg^j9`x<71I`jQ
zps#E-5M?ZY)qQhdWW5};-(^71QV3MfngZ27#z5C;DHzB%03ZM3J$r3E(6&t*Se>2^
ziW}9z*oX><nXSxge+5uvDF=qvOM`&zv%zDY-S&8gD463l10=f%f)A_tfWF6H&M6Jv
z_~nbw9Me<pIj2?*a?FRHaS~2E=3LkA<mlHla}w<8Ii}r|bIhfRv$eCFqiI>jX{svZ
z)T-og)<kA-4!lU_tmnjY_AZFvM0fAw@Zw8xl=U}o3j1w2GmddNFEy5Ms_tuW_V~zh
z76{Jd9D$>z6?>kTHssWq;(NuWViU(rgN|=9ja{Z?S}ZiM%$?o6EJWar@v|e$t#pIt
zTSJBl)%?}=)h4Nt)#5jDs^gogs!Q8CtNrUgRA08`XRFj_v0fjPSgm{=Hp$Y2J=AB;
z3cIgmLAyKqZJ{4)9~R8kvBy}$197ZnbP{_x;UudZpT)j9lE+$lm9Sc7m)Of9mF(pQ
zRqV?nl$}t&%g(^}*(8fLw(3q7Te!53y>sR{+wysUy<_^0{Sf?#eSH2K>)rg5-TUe<
zd-=mOdn`x*OTH1pW%e`i*K$$3a)tz6={5_O<x1h2XVUoDY&k5*or|AsRm3%6%D609
zg=Yt<;jU~Ata)-i){N4^UH&>)-$oCARat}uNA$7gbp!l$uOZ&0X@rH^jdAU+W%%o)
zDgKW)6`LoFc=joSj}36~SF`2#So#XA|HK^skzK{JT`lmlKuf$PWi>ulXob5jTI07D
zZ1CJ1Tf8&c4u@}BgI!JRvE8IS-cqv`KMi!i@=A_4m^k8Pj!u|9bHZCZoUwnmGhVi0
z9o8sXhZp@`hgVp+;NV0TTzSt0@A$#9UF2Qy4kK4AZsCgM>|AlYwJRpb6}v3pLC6&c
zKXt+5=Us684i{{q=7McH)?u}M>+ojrb(k;L8T)BE<FG;}>@4eqjUpUz-)jdvVCsO&
zW7gu>W_w)E&%@F+xNV~y<{q-eGAC@XQ>HZ@%e2D9$*Xa7m?aL~W`U=eRrsUiN*vq2
z0uP*7j!W##u<Tz3TjwFH3m}$l<=_TqQ{3>#1h?B5<FmJxVyt9{%?=shxMqDUCbI|+
zy6NGcnL60ILkp)(&Bw9}HSwpl>Ues$Dt3;Yht19?@#?C;(`)kB`MfMH$(6>|DN?vS
zWETG9DS@XMG2VTMV6%6^*zblQjyuec8}?4I6|euWo2`Gc9lZCY|KBIpc+GoOFO%mK
z-S?6mlzz%~SUzUg1wG{PTG@5icw-!mciDZtHLTjpY96k$r0*(Q`k;&rzE#Yg%*kT~
zLbBO#`waG}aw_{}IDuVM6~jK7ILhWH2D8s){Mo<Rp6p)*7k2j<8`gf#ayBB?n4SMq
zmj&LcY+a`eJAaudJGOMP+V|`G>g?j~>Z?w5)jnU#syAhys^;VU=CY5#T-F&n+vY)D
z8U{!UB4=9_WD?0iJU;sSc{d7>jzO;%rz0oZJXG&<85u>gsN`HDl4T#Exb9cz*XK`Y
zhv*-)M_Q24;;mDEwOESDs*z`$Y*iT1{`pLU&qC(N4?~70lld&UoVjq$lG&=ahEZUh
znMalznG@Yx7>jMb%*5y2%&jBAOn_)8qmvcE1WCs*_U`eFZeb!L^gfvxSe(w(9>`#_
zYtAqS1af%t^BDc~LPn&&gn6q{#@zL}%;a7vXF`5lV_absV;IRY63vwPAbFc<bggF!
z&owefhj=l|^x7DcpiV}LeZ-7RK4u<RKH;rLf6hd9zhX8k4l!UGFNSm32j<)7PfWYX
zSLWi8A53h+PiC9wABO8R!6;-+Gk*j4x&G3E+`d~vTub*E+#3@!x$1?Y+*Av3?!-F@
z?yeKFxK9>KajhQB;Z_}x;c6<#anoz$xl>ydxO)VYxX((Jxi+>c-0Bfk?t*l6?kQtU
zE?@tAZa|n8_l1fM*REcdi+vVywMF!~nO7Eb1ss=fgMJutU!6AM+CvjAeX)$I8_D6G
znGd-_&4?Ski_0C5T+Vg4zJgopx{|x__bP7oIZN)06;|8>L)P4(I9slh-Wu-hc6+XV
zkOMbI#)&J!I&%+ga^b$6bmguqa^v2$+{iWf;LgoW^5BXs@#KbdZ{fZ>xQ*+o=*4ZQ
z_2wFG^X29X?%+z4`E$eUc5y#^-pzG8xtH5$638`r62vV$63m^Yc7S`d;UM>;?_usn
z(NJ#F)iAD!(@}2mXgF6YD}uWsFOvH!Ac|XV9?kWUj^Qf5jp26RisdFAkK>xV$8*OQ
z9_Lm}9OwFWCUEB!CUSfBo#39}?X$E}E}8rLT{5>4r*QpFq;gd@r*R)IPUj{~r*l_5
zI?4T0e2RPRKn8b*RVG(e;WW2*_%t`U<_y;&C5!uaOE&kq;aRS~Kn_>!aSpey^c*+k
za4y%<Hjn#HDW7{|B%izUe-xdAmL19#Mboiu+cwUgv2EM7)kxd6ZQHhu*miE5*Y6{0
zRMpZ<a8&d+a#B?8bygTma#1X7;;Q&v;i?Gra#I|;=B^m9!b4Hj$5UbW-czwC*-P=q
z#9I+|z(;X>s;^>Tb3a9OwV%Ss*I%*tW`N@Fsz60}{~*PQPeF=7X~Bvb^ALsc;ZVhr
z8DWZlEyEQNb>WJW0TGJ9%8`oNwNVO_LD7n(U!xWE6?8?URjlIFu{gyLMZBV}O@hMo
zeu83IaH2v<ElClzAz5*HXo_O!_Y}q5>{NxBZJJ{F$#g}-*%^xH_L+(^k1`d*!m<?i
z)Uy@ln{yN^M&v3Q{mQK`F6SxEI^-*cpD9q>pIfM~=v1Uw`LsyUII>s~t5u>nx2;q$
zVsx3}!JjgPWnsBum2-un$@xk}+=42_`L5N9kuRzh52I@oR=Tx{)jR7HO~>6;#5cI7
zxKMIWG0N?};?czi3hTuW6>EAtQZ#%0NRbftSaH$diDLAgr;5iDo+)e^Jy)zPf39fm
z`9hI+<)z}%vR8^Ry<aPyynU^(O?;zRXZ%*tV*k5(*2sIs<)$ALW2-(Wo_c>&*j@jm
zSikbKqGi7?isTPp6jxHdD#n?8Q#?EPpTd6Hcg2PlKNPKMe<)J?ek!is`lT4Z=C|Vc
zfIkX{&wmsf)Bh@3TmDn*o7_OKZy-IJD#^D~N>Wm(Bmr|8ijH?fIn=R{%)8!5`aWqS
zKUXxC`m-z{eVd4ZW)nH~p@}To+EfOnG?l+2n@NpnGl}@!OiT_oms17JW!bbAGSsPs
zG;GmQ?wxHZF*Pm4Vty+*=hsSBb!jalZ?%@D&s)o*)ommps*TtTXe*a=+RD1mZDs6^
zcG5Dvoje=UUQ#UDi^IS6a_vY5*;L%2z7^I{+PZd>SFJip#)VGea<`M*TGUy#1$LIH
z-MdIfl`it`Wf#d=*Ht`XyNc@IZn8_io6P*yO}g&xE}t^HOTqXa;$z)IG#d7leaCwW
zWj&>*^pbDxy`-dVZwa{ETXY`umP1SX$h?p~(zjP%`Ki`dD&F*!kd6JsAfcZe8`fVI
z8TFTeKl;nxy#u5sXMjXZ8Ym`q1LahcL9*=BAQ@UYNE*%=Ecd(yOH79$VsUMVoO?V(
zR;?H+Bg2PE)4s#xk;X7dct1>RwhWg`$-`yc$PqHubcD40Jwl!x7%3_FBgJ9rD7of1
zN;WkgEfdd<mbNvc<<-0~lHof>Tsn`HTQ|qbwr68y>gsXQF>0K=>pxy{w8x9br}3h?
zeS+*tn;<jCOswb9PLxl7CrZKLN#av9Ni=3mmVGXhg;rCf=Y=Wqt!|2xESxF<0aHb%
z+cY_(JWb}koF;wOO_!fB)1_k23<=SjAqHP($gy2BWl`o#8908H{I!}THA)JJIHnMj
zQiYsSh%9p#8QK<Ucp15OABkBqTP%WS*RxvZ$SSotGV;wFX}WQ)Jc^$y2}9?Jjp01G
z^nISJ+dE&z=FFFtlNQJ`+Xa%+c%e9)TqxHn7RsjCi)5nLB5B)UvAnvvSTY_h7MJBq
z<W|@c+16*NOx0K_9p5jNcbk_<PSP^*7_nSbO_s~9U(03Yffe;!_!aVL%1SA4SSdcu
zR*A-$RkE*ol`wC$^z>aV-#V?4k{fFz;OQFCS+!OUMXr^3{ntrf?RE0=<2tF>wq8O~
z>$$z7H^?#b4YKI(1{rvGqx>!0C^geJNrdwzF=@G3PMzN@%j!1E(1ly1VZau-*LADJ
z+}<h{FSg3LwcBJ>%(i;o?{;abw_P56*)9n?cZf~K4!JaLr>wKuDPxs(Ny}rq<XOos
zNtv}<9Nc!xwKjWX)1^H!@%|oZyJWAt3fe0fJ@$!<>OQ&kdY^3DuwSOe@2_VBACPwj
z2PEge1LCpgpr~dalwA`K$xPcr(zWqn`E=s26qFwpAC8EI=MmZ0{-|*EsPuevRK6`c
zCMBWAB%t?k(NRAxhu$5Rd7JCG!bvCO=kSwKVSG|Tex4MA{iozu-YHo$<+KcRI4ysh
zo{^f<XC$KPjF`+lE2n(U%Cb)9Way1^((vgyxwrDX#6+AIi+&g6oYn<d_3?s?+;&l#
zre2gsqb^B;*(I_0b4e~8x-9DoFU#2JSEQx$6?xX;s-&E|Dh{<*<=TR4vdRCNOze7H
z+TOk{uby9*j5RmJCHjWk8hBH->E4v7Uv5growwv&`Yp*Bds{p#Z_C^U$`UwPS^6AR
z7F~N~`BAJahnuQM`Aij=e_BO?T~(xCm5S)MR+V3KRORSJRjKq=m4)|ICA6cO3|Oot
zhS$~PPoSC{f1)PU-S5cam3Jgu<&F%BxFg1|?#REs>T+_uy3}f_%hEV?iTt20LxyOG
z=~fL<GSHCIDH?M3n}#eOr76+7HD#EYrkH1GN~1rTa(052+&`!#D{Zu-e*9BLG}0E!
zY1-1{gtnY_(w2v1+OoQZj>L<Oj5?<y)*d?2tX4-Zw$qiz^L1tI6<ta6)0Hs~b;Y)e
zp0rq|Czo&O$<q)$S^r#5l6&dPxHbA>e@9<hMeEDexBBvYfPrk>WFV<J1~MVhKpa0C
zNSon?a(#!PyfiYD&FO}c{=-lvjWrVIeMZvG(nxOR8p-Q_MzVFXv1A@GmMQke;#zDh
z9h#cR?U^R>_LPZicQujhN)wsZ+Em=<m`bOMrlR6)D(~-_%Fd2vlDo)EW?VND&p<Qj
z^2AKkx|_?#73Q*A#a!~k&1KdrbMfwLA>Gznh`OeQe2%q{y&o*3aImGwR!i~Kx0D_!
zmZJI1QofF~lKs1_q}bF-W@lN6|8FblHNjf64_eEA*4A>cz*<Th+Q{5#HWGN;M*29}
zh;EsU{Ag|~hs9RP&)Uj-4_gVYv6X)9>_mUQo&36NCrAD4r1F8CEbL-0p-b&$z%6?*
z46&C#&+O%RF9)e!?I4TqI7oQC3pwbmgBTBRlz$r?<)n_I)FwE}($9_(Im}6h>~IoO
zBPUTxcaqaToaF8pXIZ|_S)whRWmvAWnE!K@Mw4CS>=75aZ|5Q_i(MqPiK~p5=_;0|
zT&0PttDLWNm4~g|Wc3_3iND|`qrBb3`mUQa>*y{Q7rD#hYwof(&|MNAyUUpF9%8$~
zLt3bK$mMVkdHT|$o+a)n$?H62oTjJP$9hVu51w*$u$MgF;w2mPy(Bf+OD25t633C=
z(q^}}TsQTWmzmzO`M0;EkN1&D2YtlZ+DF<I_{hzMzVdpiuWUW;E18bIGNsH{T$}qz
z2l12JXZ_@@yPs^Y@ssSf{xWU8zqnuamrj2EqVm9B-ggd=ol65G_hx|12ni6+X93cs
zSD>h^4wR2-fwDU)Q1agd%B%rF;=M6Qy6FUodP0zV{uCs8hXqUF_FxgCVDU{0mL5NX
zMRQDueBB!&`z=DGI44AA{|gcSNuko~NT_Jrh01?Lp>nWEn3T>4lewqDB+w;H`c#IA
zZmV$lF*{riUkI0SuW*@vH(Y`{L`c6y5u$%BLVg8A$kE3UQrRt17OsetP~}J&5FROp
zFC*nopC~!LE=sC3qGWMwl!U*Jl0k!`#du4!{L_n;lgZIi`!!mYj*OAWT`@AmG)7D_
zV?^n9jGP`HD|ZjX%5v*iiO!FeVGZNNd}^FDIvyuy9pmJFX`HNV9xt(qco}gvUM$_?
zrAbY^oNt>T59cMw>dOfd@0%c_9wdl$=R|3?G*K?zOq9pLiL&-tq9pcAk}<23#8xdy
zT0|wu<u^(4w12X!-<T}P+Q~95AzAD{B}=PeDROmtiaa+=k&S67lKMSGCX7iH$Gxf2
z#v)a&=cLNZzp1i$QktY6PLoM?Y2sXzCheM}%gq_-^7>@DY;{SO%!+iG(keq-XJ<%<
z3mJ0TD?{GaWytmpnUcLQQ>I<Z6!(Bk>GU{LRJvu!`{h}(Q#ng=!?I+?%PjHilPz7=
zWs90dwtS4qmfi2OC4W$k%-WJ8-g-IGEjdTjzvjs25xKH=SFRMA<cehGitn#n=`lV}
zG!Nv-SF1ePpPwhiO8GK-YQFd%%a>k``J!E#FaI?wkb{Z>DLqplbKMIhu)09{v@I0f
zd4=-hQlT97EtK;6g)+Z$kpwR(l72UfL_fGlemyOcqdkkIa#gV`tOt6BMi$F}H^pMu
zzeN6QD3RmZB~l$<B8xwjNchlF8MM7rj15cWUuvnG{9Y=xqswIJ-ZF_aFOwlTWn%ib
zOq3>-%jv`Aa@V$8mKT*vbmIycHlsq!PgY1HmkK#sQ6cwRR?5oR_2B69l`_JsQY`B#
zrAdb>Ilr(<9$u}I)d5u!|ENkvb*mQZ<<-(mxmqrURm<ZS)v~rvjU=wEkue%IVjEK<
zE#BA2<w3RbbaSn&*Q=G}q*@vGwN~s$)Jdydb#m3DPM&Af$;MxGk~;3LOgL~?9Ift3
zoBX?SUFn{@oN`Y#AG;^%4)<hI={<37c3;{l?#s<H_vN+Qec4)lUozV~kSX&Xi0h>X
z(!uwE+`j)n-gbH@+m}3)>>CedTJS@0fBH~5^?W2Ms~*XF)km^3@{#1eek3#cKNimo
zkEM(DV^NELEFV8Umfb_2NdC4bGRyFZc&9#*Zr`7X`sk<fdCybXYyMOUv!9CmeJZ{a
zpGl9y&qUMqnS3pLCi@#dm*VNqW%kME;_v)idR06Z?Upa(KVHbe^Dm^-^M%Z<dm(}C
zUrL{aFGct2OZnmdQVu_QDdk;X$^7N7B>46#=@<4&^k2M^U%g+;(Y3FoQvJ0ojCn1g
z?_SG*L2txx^Bei2`$mo@y^-oKZ)EX^w-Ubdtqd}GE5;db<=@Y@a&p`|sonohmRh}&
z$h>zlMCrYlPI)g%$KK0nhxc-~<h?9!_Cca&eUM>iK8U&72WeFOLC&`MDEH@nl$Do0
zO03UE8FBxkSa$j(O_qF;^EW=p!=O*H`spW$@9|kit@<q1s-LA<<Y&3~`m;Rl_eIuj
z_#%l~Ut~=D7qR{LMOqB~Dwnr?m8S+@Wqs;bN&fGvj2rz;?Du?=R_5R2YW6pI{^y%)
zocN!l9{Nuv*#0Muh5t#L#^2@o^zZWW#CO^3{9V$^zssbSKg5|I((e2Zx#{^sUf2GR
zt?hqG=7OIx<?2sy_5Udy9{rTtU4O~jWxr(m?O&1|`b(z0_$BVWe@myezePp;x4e)3
zEj!=+mfV4VWX9${;;H*bx+MJ(wJ(3<<M6+-d*@%tH~uTLGX9G9&%e@b+&@v@|4%+!
z{*%3V|KxCk1~~L=K>6ebv|inS`9~XYO|1dJ_6>Lu*?@i}4cPRi0s2jqNb9e}ubE0r
z+^EFS(@HpLD^cmHMB4-<7FH>7<C7AhtsC-cXhR0fZOE4G4KcjfkPO3y{PAwc<g|ty
zzt<3#?+vN$*ogLH8nJkBBW~?&MELbayfJUYprA%<%V~u1lSX9yZN$IsjhQ;BF(+3x
z#_e!pYE>H3(XKH|BO0Sz)R@Rujd|C&2}AldVaJRnn67U^&dDYyX*FTGOA}7VHNm5z
z33op<p>wOIEFaPo)!9vn-rBT2?$MNC22I)J)fDrTrsUN%rO|&)nc1NkXGb-|Yhg3)
z?`}rdYt2|`){Hv=&4|rv#-~Tk81bhWd%88pazb+omN%!#q2?%*n{(c#IX+>{d05b#
z?k}6Ox={->`m`W^S_{6cZNaD$E!d~g0&Axh6veclS$PY1--3%RTH-gTC6A>gJ-4)E
z?YWj{>9r)$qb1*xS~8}#B?rE?#I{{4N=CGz#e!DM+0}~6S6UHZ(u${kt>~TEiuDg$
zq4TR1$z59WeOznCEo;r81Ff;Y)tWM^*0c(3&Aj~9Tz%e}Af+}u@70FBQ`@j{O&j!%
zwV|Go&QFInOo(p7k<vCe){CYU&DzptU|SX_+H!qUTSCsX<)uzr`n$Jfb7ETzs@szO
zxh=ojv}4lnb{w164(A>1sJhgScE;^k<lBy$>Fo%+-;UQm+A*+md$x{kkI|C$WbSLv
z-y7|jV%eS(!R>L)ZBNb9_H<~_fh9dVaC>qGB35<a?UDLL2DJ`sx9@;SWCyZ~JJ8@w
z2c|Xc$f^Dvai7_dx(yxabh;zUv^%2W+L5UEj=Znz$k0z6+1a`iW<xuXJEs#3w|8R3
z#ZH_t?1ZOxC+?+oqRYKbtoYsuwT_*M8QqzWi#juWZ)bL2?~H|cXYvC((>SLyvz~P3
z+~3Z4ckjZ3iCyTnvJ0yYcR^jH3vsqx_#EDakwsnD`>G38jk{9Vw<}HS8|kvXD;G|7
z#aFW{kDR;GBd#lJD!QWip(_b3yYY2!H%8Cy#{R9{usPq2V*PG3_v*&%lx|$A>xTcg
zZait<onE85vu<H`w0CzW>1ucWGwsgUfbJa3>W<x`?v(!SPRnjRm^+~dSC;o6@L&&~
z-R?mjn;z76)X**HLCT9B{Ak#d@qK!7cv?>!*7l_Qcu!hu^klwMPp-xEB)F_6FW&W}
zUyELB8q^DY=|$S+Ui>=Si-~%@IO@?0r=(s~*7Tz7*Iq1a*P9z7dJ{UoH?MZ~X26x+
zY%%GLp<iz@GJ5mpL2oAi>do;keQ+7qhw7z$Xn&v&i*NPemQ^3ZL;CP0uMdNs_hFk-
zUyOV8C2LAw{;lrI)MI@)d8aRK4t=SO>PyGczASy)7v*OCh#b(5ceDC2WK%zOoau+D
zPCs(o`k|EAkLlI@IQ_XF9&P$_cUXTq&+E_f9sN<g)Sqah{(SK1&#?6V?7H6{^B?`m
z>okByV+SyE$pFso8-Ul10o=D3K-b^_tjrz2ou>nc{WpM5Jq9vj@<8^i8i?hQffT3?
zq>24N6p;ftUpx?>*8_RjWDwo^4`TJqL1=6kMEt2ie9;=jDAz&kiywq_<sgba4x(A>
z!7y|%7v~JdZ`)uVUl>eJ!@;ce9*kD%U=r^R=G%XR8PjnH2SyLUcF_<@_6(uL^&!kL
zAHwCpAp~R(;pyWc^!_`9_1%Y}GjS-%D~9s@&``#y4CRpRQ0&8pQdT&WR<DLKukkRh
z_8msh^kF<-H;ld~hp|y}7<$gbNR1uF&+=hR_%MtkEr;VccsLadr_I*kEI2=$>-xh9
z@f^;}<l*$M8_wo$!!c+-g7lFi_`P5RlXj2b*wqm@n~tE$e+2EaMzHA72yXr!L0H$3
zydFQ2fy+m-_25X1ZjU6>dL(~CM>3^gBqv^s#I@llYI={N!?aN>Sv!i`$43#NK8m-F
zqv{t~MzOtY6ejORk==YW4F-*7nvCYu=FzyH9Zj9?XgYa}W?9l`RBA>O^<^~g+m2!A
zh%xM(KL)d%W5~TchK43%nBg~uGZ|y>d@zQ4KgZCe%UD*78;jb~vBc~j%g38z8E!R}
z-63PK$Qw)kv#~T*8po_&<2W~E9Nw$P@!;q<y4@MaDu;2XM~x${WE`L0jALZ8@$4Ni
z9;;d7Dcm@orf0?@I^((EHXh%E@jR*;Pmj;zS<_|$n!_fLFn0o9w@+a7r3vgent+YZ
z1d7up(ER=cX8)MLrA`y^A2X3Bizm`+-$d5kn25H;M3RCg@?XwG#y*|M!G9C6>oJMa
zNt0-~Y7%pgOyY{_Bm(Uw@hoBzeTpZs;q@eRn@lF9-(-Hwn9TSMlR129G7egkDR-Gn
z>-fpcubj-akCO>*HH8;LrqFNB6gF*}g8qdmq!~=%m)8^~rcUAL-6=TzH-*X$Q)xST
zDhn4)<;I?=gkGD<E3>H#2%O56?5P+&o=V1_sr>0SjmZ<IaeT!zTn<g6T6r4nZKts~
zd>Xe3rxE^g8gCj+XHehiY@0qE<8{-?Ix(Gp8q=BTJe`xV({U@GPVM{YbZj|;rGsan
z%nTy8%;4R*84S^%!4A**S&ifw<kZeU>DvsZx1Y)Bku&jFFq6BxX43iUOqQF@MAd&L
z(U~*(@Ng!>e$S+S-Wl`pv&dUEi$(`$G4u8;&RWmHD|8n3^JmfZ#Vl4fRB)%ag4n4F
zKCMwO;<$o6>Iy6!6%<4(Xi}y?@lL_{=7P^a;h{q4zFAm(R?yHD;@yQWiNdHFVc!?Q
zx-Aq9hi3DEopA9o_!+}vU+9?uYaf8tPe|-Mn{Q)hGiK>*4(y+e?akSgSk9(J$ZY21
z&F1p6*#tD0!_%H~=sjf)>sQY~=ja@g)#mWseh%ZJ=5VNF4)$;6P}X!Vtp?0x-mJM?
z-8h$^({p*QJ(s?2bJ>_M7rm;vq<)&q&(`ypFl-)2=FY=$`#dTx&ZCXdJQn!O<9gaW
zLhjAu<@b5??=+vyW9DP9cs}WS=kxped?s1U=UC8uoO9+=^<+Nn{>^7mj|JSEw1BXc
z3wV8a0RvSRu+?q>MiC3hELy<dR|}ZZWFaT|EyQ)kLTc78q{FF&EYVuXZI^{a#4Y4)
z#X<&uT*&rTi!d3oi0s*mXs~S&(=IIHl))n0y%tfIvWQN17qRTWMW}RGOw_2wykEGO
zp?emy^V(v}%odXyu$YF~i<$9wF=zfP#<SZJ?oC)imlaD`acBu@%1el`S;EJ#B@8cI
z!tR$#uxPZD{60%*Jbfv%)-C1SiKTdJEaidIQo6-1WmWl7)ZZ^9uEjDw4_d}Zma%us
zGOW%mqfl=dO+A+($;-G<yA0p2%XrjoIXy-$XU&4;Xzp50!j<KGHCfJR|K;q@T#n7d
z<rM!~PV=rSm_2?4mzJ%-|G)~K+*&~|>lLgEU4eG~3X-0$;6J66jP1RWgHu;xw`L`!
z$5zr(eI;`pS8^qKC4r?YdG>ZCeVVUg!@yPODprxQX%#=ttYW<GDh|7^!Xa@L<<+Zb
z{bd#N+pgx?@YMv*Tg{6dtLb-nHJglAqwl+#wDi^dy1$x<KUZ_K^BSDSuAy?t8rtq(
z!@`?uxM8`5(BL(^%3Z^NXKUEfU@e9{*OD=LEq_+6W%ALr99LV5i~U-vBiGWtWG#!|
ztmRhIb%gg{$D5h!7_@O6+fJ{;SbH5=uIu<0zmBO@>p1yo9d51HQ#*7$9p|oR>Gt&~
zUtCY5;d<VAuV+ZwdUo7fkLmaI<aFGC(wGfQU%Y|SdpF>5eFJyRH_$m~1Iu$Zp!#G3
z(SJAaq5DRLP1?w=l^ZcXypcSWjWn{`$jpe1oGsdj*Q<@(Z@h`F{Wh_3#wPBp-$d-m
zP1JLN7~!&sJ#m|`tk^`shfOqTwHd{b&77aT8K142d3b&^-3>Og+G{f!DVvF}+sv15
zn;F$%3;RZG!Fu5qigs_I*|jZTwuOrUTky-;!sAC<==o<0YrAblYr<9%mv80U!L5u@
z-pT=+t=NWbrKDghEnaSAPNQvH?z4@6Y1??Zb{oA<Y-7E~Hgue}ksPy)?`7K<_kJ6P
zT5QLD(00mXJFT{CXWqH(T-Do7kjHkOCvB&1?RGYP-Hu+n9i)!f!O!_Sn6PUHN3QI^
z(PRe|emiKBxq}4{cX0jJ4nn%@<mI@X^k24<%?Ea3aBC;&Ry+9}vXe>qJ301zC(cT{
zsOq(gc2jq;Xw5Ee9@|COon7_ls9g+<-o@6^T^POHMP{?z{2j2HDT>{k*t8qhGrOtL
z*-Z!c-7HDm&F$*lM10=O+ctX`JbVw^=k38{#~!jT?V*A39;W&3;Z*t_-0$z9?#CWF
zb>7Rev3pTjvX`iRdwG9jFGDT&vNL!uX1ROGeY%&14fZjk=RVF%-iPO^ecU^;k1lHa
zSYf{pwa9(M6z}8X>wOGwx}V+s_hT`0KlvN>)A;m$W@+!|oa=tP<M;ERazEWZ?Ppc%
z1E>!@K-`=IeBO3|krxlJ*YE&V-Uld5JwVfY2axXvxX|$+zM~KFXwgA>>^;bu>j%*^
zKS)C0LB3`mWb~7R?EiZZo9>4wo_L7nD-SXI@F6a#9KzrB5KqDn(W~eX>s}o~yYXR?
z`X1)L>4zD+{xAnm9>z}dFs06iX&HBzxfO@G^5HOnEsyYQ@DcjVKEj5rN6<ZggcSWF
z{O~-&_>?0Yt~-Lmw<DCdKT7LSN14CyDA#r$CHU%5UYH)GU%*i|WgSKT(NWTVALUoq
zV@#ZIjHAns;dJmAmA8-4*5()s!;W#I;25DVj`6DDaR&4`&X#G%F<g6`jN`}oqkf#p
zPRBVOa~zkl<5a&pPWu)oSUl(ix8wxjn@{lO><I?xonV{C35=6YkX3Vne_u{8wcSZh
zjyQ?i{FBt~JW0nZCs}H85@o-WL}r}i-Gh@1`E`;VT~1*-?i4voPoZ?+6w_~=;<VK%
zJVH)!H}4dkpPyp6(rHwCohEw9X+Eqz&9Gyq*>&eM<_@RHi#koC($ma*dz!P&&fqoR
z4EJZ9q3fnItUPmuJ342GbvwhSgfon&KEs~RXRvH@mV#ktX)^CDiXCS;f9WhfMrV2G
zbC&MuXIXv!EE+$~65r_@U&fqc)RJ@T+jkD@8|NspI7hSKbC7$Ei%-wt_wO8!dz`1|
z<nydubsnuF=SfsO&o{gCjEOwYf#UPnzCKS$lMA%ye}OqOFK~Io1p-c8;HlOHdb?g=
zef$M<Dld@y@dDplU1Z$QiyWGB5&LZyDZ6lyR)!au=Y5f@sTT>ldy(h=U8HZvOKco{
z3B5&^NZoUZpVuxi!Tb_O0x#j1eTj<4muU0%5(~Ot=K93TgsiyC%R`sxuX35qwwEyo
zzf5}JWq!ZB%%sLwIM(+H&eN|@weAY-PF`V=<`r%_Um+~^3a`trFz~|_wzj;A(cr6O
za+SYZt}^BPRZi$%#ntmFHOW`$P<NFj->!1I{WT&+UgPb8YYg6fjqO*jVPblXZ2xOC
z$hyX~N7p#@`x@?DuTwYvI-QnZXW7B)sNB9zl=XGqhhArB!F6`NxQ<!F8|3!BLBnY`
zn6dT-XO7>%Q~d__9B<Gi<_0UuZlLz=1~JWV@^RozhRaQMZ@!7e*_-6+-lVa|O=czC
z<Xp{7yuaM!LEBq&8*z(O^KYTP^A>TJZ}Hjq79;&`u{YxuRu67b`12M`yWB>`-R8p5
z+xYIk&7+&Q>0x!7H6gdr%)3p(v)f#2pp1DNWrBJtlRHeAXOoptnx{<f)yhoUq0G9Y
z%ACBUjFy@*u13lv*eg@*qs*5`W!j}HGqOaPh4+=&^G2ELKa{a(szPul74rJ4@O+F4
z4QHv)XNd~aH>$9Hp9-f=tDt>D1vhOK5-n7yaaG}KkP7V+R2Y@3!lEh__C8gq*Ys4d
z{HH=lYgO`lsPbZ{Dvc(q(s!;ZGghgxVY@1)kEo(^Q5APpRgw%<skKw(o3|<*B2^ik
zrpn@CRrcLe<>qTutiG!f+C+_lj%vK@r$*y3YV@0_#>~ZPY}}y6nZ0W0o>Hs7v(-q}
zQlrjXjsINK=oqBNn0Pgo<fyT~QjJ?r)Uf`jM%Z693R~UbRrfnI8G48Q{|Bqixx=QF
zcR0K44tj_0;CbN=DJplkYjB6}ws+{{eTT6TcUYQwhXX}-xPA8yHm~jw{@)#n8msfV
zgE~$7sWV`-I*J+UY+j_!x%KMk?@`C=q&lhB)VZgr&JQznI=iSdE>N9iaq1k*R!6x)
z9oxt1M0`-E_>VeoT58a&y9NV?Xdn|c*fLv#^D8tk*s6i|Aq~>bYj9s#gP-~ubg|W7
zyq5;c!!<aRqJc`G26lBCM84FZ<eLU>8)?$KgJ%67NfSnCvUR#97Zz$_xK0zF-I}DI
z(B#2YO@3);($!3p3C^0V2+-tktR|{in%I|X67@)v()XIY`>jcfmRbz%rp4^RT5Ox3
z#YMC*TCRof7A-OkYVq)#7Qb(6(M?~Ai8flS^wi==m=<cuS~wJF5nZcA*$XY+f7PO8
zBW;GX*Je&1ZMKip=F&86j2CF*w^p0XUD`Z4uFan-+H}{@W|FBktDLks>aWe67;PLg
zwTUUyru?BcAKq!x>bEvSTj(&is}4H`>2P_x4kn_5|1ur2HtX>CfDV7p>d@o14wLnC
zSZ%GtF%KQoLv`vkDIH?-b*QM(;p1~1T7T7HSVLXrwbNy1Z(Xj8(8YABE&=m($zG$&
zlbyQ!JElv|E4oZk*JX`~F2@~p(eTs7Ia-&v3|%Tqb@}u_mp1Qo8U9O``OWp%)kTl1
z1NAT)r$?Ydul~-_<LM?n8XVB0*I7NL-qK^Ot{x|>^w4zI!zDzI_(VOb^7Qyztw-DE
zdW`s@#{wmNcDL2%S}%RfhwBqGMW5Vx`aD~$kJ3(kdLPqg+GTy#-O=Zyu|8T3`ndY)
zlMtm(b-F%ZO7v;>K%bFs^;!5+pFPbCxZc?Sivb1%k2N4~mI2R~7|?K&0e$uxF#U`H
z>u(xxO2+_gO9R~83`h(%peDh9uek=auQp)RGXoZVHehc9LvFM&#ImO$A;S#GpKQpB
zxrQ`aZAjl8hSZO{u;G#+r_~J6F*3y6-jF08Luw-p`Icr#hY~|Z-#4s(;~TQ?haoqc
z8e!GRh|vB<6pS(A<xC?QFEOIuMk8kKGh*XuBhK6~LRZ@e4+|rbU5%&<GUC5@BRb|9
zF{a9hB~Ojm|H+73|BSG1ZA@4XV+w~F^J<bYP39WYf0Z$_wi~nQh%sj`8l$IbjHjV7
zDR#!(^)}{vgfX4cj2T;O%+h<t9C&Ta?eE6eG%+E(qX|X*On5!ogr+l17_is`#Rd~L
z?=|7vDHHUso8YBoLaMn5_gqZ)5oki^coW9un6RwUgo95^Q2uCw?OzijTA5PZ-IO;&
zOldaBl!0?hk(H)w*=EZ5!=@NqFvVNNv|dv&<-V;cKfO%p5@E{tR8y80nR4i^DJri_
zvHQ=I$i`-rbTH#>Uo)DIHe=8XGgxHC*7asw*kgv_Ni%$|nUSt(#sf1memR@bHPDO+
zab~Q@Hsf%G8LE%Xu>W92)E_fSTblE(n>j6pm@{~yIkRV*vu%Yr7q^;YbjTdv^X6nI
zoAXfLoZmL)bn`N2Vz@agQ_MM1XpUN)ISwz)iT-9zStASHx3{2WUkiqevS7}13$`z`
z;L<t^jCWh$cfx|qs}?-cu;7oW1>K!3m=s{as#pt-W?68j+yci(7R0=_p!~N5A6i(_
zs+(oKBx+f&VOz2TOD-?B#AJ&l{s%3|I%mn_+m`&*v!sWOC6hfZSsiA{v1Cis3oLP}
zwIue1B^6&S`Pk5k*6pnr*2ju@Bdypu&5A1vtT0_`MZhjAvX5Kw<cbyl)UD`gYQ+>M
zE7tg1)xS}#(8#pHxy*{VhgMX+v*Ob)E84WMW_VX?<`1%F*LZ8LiZy1-tO?v~P0j&p
zo}RU)!EI}L=~*+?+M2Z<)|?2nMl;D8mwapDYpkhyZq4T}*0gPC!-#e^Ea+{+?h!Uz
zn`(pkd>ew+*pR!^hG)lYP`YA6Z*?1{nb@$-(T0<LHfTlL;F@7WLa7ba4{Z4I)`oV!
zY#7<xmW5qx*)!0V>*H*(P}mZ@)Rw$Wwmjc&OT)9a^tolrbX{B4TiJ5T-4^W-Tig<D
zNzAjQrrMUT&unS`#g<V@b}VXZ$KGCc+!$_$<rF(Y=Gl?I+OA#`u%pp2JNjO>W5yjj
zHW=G++QAMTUpw5R>_|$tqqfA3Z};u!@YaseKkZoD%$|Ln?YTL?9;>nTgwC?3V2M31
zH`>#9zdilV*faB{JsWlGIb&&$uA4m`!S*C4*i)Bl&wo|+bbMydn9uesY2d*AHV)kC
z>45bx2f`*hP&n6tSF0RovcrM?M;(}T$$?F34xBY|K+oO*Pag+TA|1G!=D_!22Rhw%
zVC)+Qmi}<yKvPF<cXGt0za!ye94VUV$m_+9G~MXPfPIcAPCK&sh9l>+9nrUN#LLx@
z)F4Oh#XIsN$C1uej*NTi$g)q4^%|@r%B`KS?cqekP$!BfIq_zW6U|mRF>t#Ra>R)(
z7o9k->V$!z6W(@Cq<K4WKf;NhsZMk$c4GWJCzii<;?Q>|RGK(r*U_2Ce$JGPcINF2
zXPPf|X3z#_*z3&JQ_ftt?u?<9Gd||dq`NrtAkdj#an5wjab`lLGb^4rbNHh(s(+oa
zZ{<Q%cNa>BxbSYG3oYijFnFa4v$wgh?XU|MFSuZ&;)1V%3mLX9JoIwmceo4PQeBu>
z<ig6kE*yE~g4%yBI5c)8x`QiaeO-A!%9WNgTp6;+l{xEO*}lh>ODA11zUGRbrYo6d
zuJxXmD}Mr9=^p3Gq-<AKRk(8Wu`72zxZ?Q7m6(=ply`IE!(caBO>|@EY&YhvaAU_-
zH!dG?!{odh{>pA->AUgR#*M$8ZuAIuV{(ccs|(#YR_BKLOE;Xpxe?pQor?DEeC*?1
z|EG0l*mQU1Ep%t+I(M$@cE|LDI{{bS$<}b^iK#pPoZRUd;Lem-ch+RNbG+OgjYsY{
zzjr6@w>y<BJowbrgEoUb7(T&+`FOBvxd&IbcwlzWgTQkh<lOe)sh$T7Y&_`Y>A}=6
z57s7oaH7Bi%~}s!UU(4y)q|>ro_ucSN!vc2j2P+3f@z-YUf{{KwVs&o@+9cEC%IQV
zd8Y1(lBp-XojjT5@5#CtPflifqE+UJ>qAcx-g#2}%abq7y=d3fi;;u8SUBE`J>tdn
zWnNfp_9FOz7kOvBcz(-^hI(G~vG!uRhZpNZy*QQRRj(m>;a1~C;&U%*zIgFf$(#1=
zycyNon?)nM**n#n8}q%fT;om1PH*y$dGq43H;vT2>1*Q63`cJ^_<3_W+8dn=Z`@10
zNqXQ-?OSiY{q&|ob00=`@nP{mANGy&;ikd|tEE1KZt|gEzYj0Z_|W*45B+p~m}%w1
zMt2|1g!rJF=z~X|56RU&)IIazzt28&RPtp^TVIy+@@4;UUv5qD#d@AEVXJ*9+~Lcs
zqrNn`>`VVUzRWWAWs`$1XMKIqi}J-Y-ItUSU+&)b<@+07I{oxzY%@QWcJ|}I06%Vz
z^}}YCAK^><DB9@9>wSLpo{b*^Zu+6n@nf^4ALrcs&=2;*E5VP{TtDtr`SIhaADut@
zF|L6>%i8#Ju%|!D!~C(G>`%m8e~MT6^Jcq0&5rsr@RC2G=Fb)*f6m+cW8mYDccedQ
zY5v?V_UGq4f4aQ!XZ#O;mNyOHP^SP?`UhY)CV<G90hBBb;O&M0n(qr>(CGlU5x`dM
z04`VrVCWivPf!5q@c}%@3E)>{09~I3FyT`GEB*y=xOE_^Jp!>G8c5WnKuYHX@@{1y
zEw%?T_(&kLF9xzrHIR#jff(5Z;_DqqMnoVFQv>;36iBywflPcI$ja}59BC3%?~w=L
z&@YJS(Lt2W2;%*sAX;t+V#wYg=9~&*`}H6$X$4_y9)zDu5Sf8NJc<kAPj(R9D}$Ky
zB#2cXgE;y(h&!!<aqJ#U%#dKpCkFFjb}+401~YV9Fmn$Fv*SWAmsNr>F$k{Lz=Fy0
z3g&TmFn?2m=}{ES<h#MFeih8I|AJ9(9D-Aa5Muj=P%$cmkJCeFy(olX>qD5gCxo3R
zL%4D+1XInB`uWokvYkVC5)i__*bsVVhcKlggf)*tIQ}67jXxncw+tn&TPT%-L-{lz
zls2<N8NMQv`CCKTbtsgp=R+}54kb`OlpLE-o_dDTAUu>_DWOa)3}tOyC?{TqqWLWp
zmqua4w-2MLPZ*y^hS7F<7$X*jv0z;oyLX3i?L-*nSHlR>2qV`tjAu?^C<TPkJ2s4I
zSz)Xz598#cFtpx>;rcs_gcjjccMa#upm5qv2(R}X!dbXHoIP8@xqdJli*w-w-wr2F
zFP!Jr;WYFNr%zZo)04wlUl7iz+HkaAgyZ%#oWzC^)U=D>Ywrl!kBnf{v<Mb0h+yy9
z2yX0(!18zmAy*>ESC8O@Nd%3YBIxTM!Hk#)He^O{x-0^nhY`5Hiy-M&1hvg0`PL<p
z4uc{YJwB4f63M=0k=)!IiPeEfLeEB0a4V9Rx{)-tj-;PQBr`)J*_af`nfyp}Ya;P@
z9!c_-Na~cL_^)jg9eYPHW<(TArbe-UeiXOXL}9%%im+o*6kd+v)txAsm_*UvF^XA!
zQEZBi;%r6~dZkhI9&Z#WZ=<;TGm7ucqUqEnny~|;SvoG71Bz&FFO9}#Q#9fGqbWKQ
z&Fh=dG}Vn}fK@aK_h>eUL~|}N8vVRzysD!~eHP8V&(Zv75JTs-F^uaK!?NKq9Gnt^
z^1K*qSH}>sBZlImF}%4HL$f<E3^a~G9Aenw8^igi7!1;5@GglV?S2gR-^B3qM+{w>
z#WKEgEXxPPa%gNUDzjp-TM|p;##l=B#q#!aEX{AmGDs&DEMwW~7R!a;SPT<l@yU%P
zy(*RmPh<J@DVDAc;+W7Tjuk!QI6N#4)yZ+#&y6E$RUD<;<9K%@juw~V>N7QQ%r=T+
zn|&M?ec~{RjKeoAj*Q|s9^Q-N_v<*i{fJ{?(|A^PiswlGc+|$k<1jOx=*97rZHVXn
z-gsJ`j%Ub?c;;xwv)v+|ORn)42gTzTA5UgZJdY~l`ST>6?w{hB^e?_%Gf&`Xj|A=v
zO~7$d0x@$EC|{YthiwV8I+DQ9iwVqCO<;#%0+;O)F!4^nKO%vw)C3+ECGhud0zF<Q
zF!_4|tD7WptYaeT{St8+ok;AAL@E{~@^O74t@kD}>{KH2t|zinE0HVaiI}=15)hb3
zc3dJ)vJ?4Nkx0)ciA?#J$eO>29B-9`M)xF~ha?d<F^S6ANqkz7M4N3%3_qO2{0m9!
zQc2>fK@w)RNd$T&krST8)089{6eZE?ZW2>pC9(FuBu+F=MzcdQE`5`UAC*ki^khCS
zOs4JnWJc^sX2Hp1c3(^8nr1TQX2}FOC)azF$vlfqMkza)-WADAdz{R=56PVTlZ;l&
z6kNNdkT5uf>Io@)A%%7;QW&{4g@uPw*mFLG>&huu=%)~DlR}<n3eUq*Xqb{hpTZQT
z*QK!jWeTUhrJ&s?6}R@OB=$+AW@IW~r=`+<VJf56rLt&uDtk|)a^q?$mKv#qn5L5N
zl*$YLR2s#m(l;xW8Re;Lc$CWN_o?XoPQ|@N8cAK#s2!BXxAAFoAdS(>(^$MEjeQ5x
zxOpxOtJ`UW>ZMU&oyJR#G#ZDc(JwiTnFVQVtWD$0i!^k<rs2^ro#b}u)b&p1zY*zl
zoR-d*1?lyfkaYI%O6S(`bgZwW6Q-U{p-DQg9MfsypHBanbY^9yv#Bhdvk%kJdzX&q
zuXIwHXK=Sm2Hyu}&}n=IV<m&7%Q85yIfL5=GO#(DLHMl<igYu0ZIwY&j|>KcW}ryQ
zU~_&(z2=*N{__mHzGRT9l*zrenf&OLN#_xnjGLOtviX@DT$73N&P;5NWfE~Ylj1v>
zyfMzCnPVmc{W6j0OtxfXa=tVZg9n*-zs)4=XD0WXW%09f7F`BrF@9VY%N1E1TAGE*
zrY!9CXAyZOi;|mJyw%B~xm6Z}+_NAgi>--ST*%A9usRE$XIb?byeu9x$mUm@Y`XT!
zX2S4nR!qs}@VsnPS7&3tBb%tB*_2+&=ABwLEsV1n?2yfD-)y!;Wpgn-8>5nJeD7zI
z@g|#xKeGAVG>2}TbC@_Fhm~V<I5H~-wIw+?Y|J5gUk+ubbLu^|99rt+FvK#4Ic_;@
z56<CILJr2cIrvrOkoh!+N1t-|^Dl?)ZE~5^GnZAvaydFVmpgNFaa@&4%=TQ$kL2><
zVlJ)Jav5rr%Ut_hcKGCSIWiZMv|Rj)bIH1w%j4I%{QaIwkEVG{?v%&s{&^f5lZX1u
zJe(Hi5xXIeioJP!Je5c58+i=V&SRcM9y?w0xDu3yX?z|5IeBDP=JDi79{)b((eqy(
zQ(EV<rbj-<hvuU(DIe!K`NXZvr*d09pAP5K=3+j>Rr8r|n9nY|e6D)uV-}H5U}`=&
zMfp6vn@@w+`Skjp&(tObtnFA(pJ^ySb94bNGYW`bR6y1G0zU64pzWywMqDpofmQ*#
z%?r5ZQh<420YPyE<YpJ}tfBy=Ck6EWSirQu1*~gT$jR=7XbmaEbz&h2vkR$SQOK9A
zg|s_d$jA$YEL16Ek3k{VZ40sRDkM0(ki3*ao);F<@NOY}UKKL^ze3hGF5*;&BDDJ!
z;Wny>#OX!UEG**dx+2=|DPq*gA{JdMVy|WqH_VE#bS@$!posj~B3@(_(Ws(`zK@HT
z@u7$fe~LKWvKXCi#kdbHCTT)3wG{Jhc`+Tf7Bl)#F^kU^vroC0oBG9A*%TA%SxiA#
zaeaoYn8t<0^s6go=F4I>ek<loqY`x6m*CN-gyfMW)J-elzXc_9Tvx)F-6bqJQNsSK
zCEU^|!P>NhFsBj<{Y!WiQ$mxh68e{yFzZnXo8Fgj_IC+-ElTn1T1v{GQtpl~<-3&D
zdqky--BQZZgQXleSIX_%rP%0|5^h~ekw+=7LrZCzT*`ogQWUkNY<^M7xv!<@H!Q=e
zT^Xsp%eXh9j2~0W=)9neacj$1wyTVT$IDQ@QiiR184)IB6g!sj#;=TKF=Y(QEJMo5
z*z&N9^Y6+q_*I5?^K#O<lyiSzIX}mh(?!Y|zpR|)o6GAnyXB~yEywOwIgz^MlvtJX
z*1eqOq2&xpDu?`Xw$_w$;dwcRU&`@Osvx~>1rK^v@N0MlU8hzsVSWWG)>LqKX9cRq
zDzLv?LDZcJN{uUc=TJclzX}FNS1>!Hf^DT0TzpVb@5xu-`?G?KW|chbT*>bNm2?|d
z$wWmZE0<PsWK$(-`zvucQ&~S8TuGTuCGRaOY3W|ckdR8|Bv!ILuaZmEl^8#(#P4$@
znGLFV)TW9*J*((GyoyOvs#rCzileKmxU-`Q$D>umT&kj6t%?suRkU)bVyJHwbEB%*
zkzU2+k}6E@SK<GrimV@1JZ@Ue-%i!^7*NgRvDK`eRn4&_)u?Z*#%W(Qv8Su4xKYhV
z?P^+ERx`}4nt8$1>`bWUN^Ui#Rn-JMttR_ZHBbIk^RIOcJ$u$LWmpYsCf9I$ZVei%
zYH;3OL)?)XDlgXXNwuav169Lt`x@r^)UYeEhO22cm=)I$c&~<>*EKx-UPFVXwe;##
z%hdk0tQ}L!iJ7%%F0RF8LoM-pYpFU_%jfI0wAHR<ghee2Tx;1KRLiyaTFi553976m
z_em|!KGvf2ua@4e>zLM~j&(!pI60{ftvPkLuB;<rTOHMh>-ch^j&`bbj5Mrcp<Nw&
zyz96gQHMop9l=F)<lU{~`Kvk_ey^iXle<jsc$fA4?s97MU9@N1#ck1D64&4TA4TWk
z76kRSVfNm8@4fft-0Z!lL`FnpW=2M2WJW|rMnq;tL_}mnL}X-SWMpJS<d2Aqj0h1C
z5fKp)5fS<PuJb3HbDi_P=e?ij5&u3oAy#%y2#q}x!uiz+5p!rl6n-=zo<A}n>c5{5
zUky%(p}!}@rRfPFy)+@r?oNn6<+CEo;H)UIJ$sKiJu6x{D}GEmE5`HAikpv|6`D_<
z6)u%$MeG}A#Y2r}#okZPig&xuilaZB6~7Ok6?6Zc6*8C43iH*oB1mRZWNS`}C(R~B
zjq{}VBw$kXMNf+VGA6}p!KBdIIVoJ9n-p=?lcMPDN%2C<q-gkJ^4?5&QVjn(DK3vr
z3fbvNVR3Cz1aC}=9Hnz&m;O2Ny3IM!=6UX3m2^%_B%Twuwwx2%kDL>3rRPNai|53{
zwdX{|d*{S^ZRbSy*XP6^edomd@8^Wvf9Hhd+&K|)^PI?)o)S-KOo>|4De<Y(lsM@>
zCC)}oiM8}8p;Is=+#jD33FT9w_?0Q~;=w7=_~DfJrgKV+d^aVo3{2f){HKJ~`6&^)
zI3>2+nG&Un=fxX(=S92qdGWKyc`+G!UffPNFLbw@7aqmuMdDNE#UmBxMdj<~#rqBC
z#j#J$i$9N^7Yje07Ye_h7uMtFg}8KH<gJ_+PfJaUI`wJsnaQ;1cbpdI{HDcv<h0OB
zpBA1EOpBx)(_-7R)8eIl)1v9EY4L6Iv^f3ww7A+cEffc)h0R~nf~je7-_>bRwmvQ1
zRJb5IbT5cstS*Qt_Y2}q$OWOFa6x$GUJ%I-Ul5P(x*)1vxF9~LxgdJpy&(Q-y&x99
zx*(K(ydZ3cE{L#yFNplv3*wm@7sLU{8S%N=j2JMU5$7Fd#D?#TFo>KH-f1%;W$TRC
z{@9FodH0NHetAZGcVI@0elR1hb<7Cmo*7~H%Zvy=JtOWvHzRg0%!s#c&xlU>i{e+E
zi(=aHqPXjJQ5c3?6h846MQYAP@mSGCvG2)?;={cc#qrlJiofeGilvV)3YD)e3i}fm
zMa2IuimhW8#j_VLii67+?=h3JVo-HfTripyoA$H9$ahxwM$C$|)LF6P{#o(L_F2*L
z%&hpnYF3<ib5>k$niZ-Yv%=xqSrOSkD<1fBR+LZ9inp)KiX&^Y;y1ZVVn+Ltkg&WY
zjNL8?zu-$EJ?@ftJo}QUe&~|;sN|C9eg2a8Xa6O!{LUqz_VFd**mX%n{cuSXoVp~Q
z`{$B4G;>LOdHs?&wRuTgRGAZ!Msvc%eopxN%!!QfIk7WkPQ02wCk{V4Cw?fK6JsyU
zi5qouLcM8DIDIxJqL0mq2Y;Rudq(EOJ7?!a*ZiFL->o?@D|=Z;X<rtm7MDeU>t&G{
zbXhzRds*zyx-32}yev*UaasJk=dxIN^|H`-=kh&9{j!Mp^0FxGy)2&p?Xsvpb6I?K
z;j$Q7x-2f;y)2|v=7pKzya=?L7g^r(q9klyyp}vKTJM_|KW>{B<4@0vo0aoIvu<9v
zygx5u+vmkY-^`1>C+Eexf6R-c6Z7Kt%kyGxbzaEGUJ>S6S45Ecm3s`z74c-?6;Ts&
zMSPNZMf5#*Mf|t(idcQ_iqLxXif}!2MZ|q{MHC&mB3}6Zif9<TBEJ6niWr{0A}(LM
zB4qDg5f;h|BG_O-<k&8VU0w^~brwWh(t`LYZ$V5vvLJ4iE(q<)1>yF_f{1Ti5D$O4
zAS${S#Ctz2i0<J9@yCA)Vt#Hx$gM62OPQ-8MDwc1HM=UFa=t2R1FqiF1YH#;Gp>rW
z1y{w|<5z{wb616X^;MDZ_Ek~ba#g(e#Z}RG{Hplo*Q;V=^s2aW{;H6_c2!tyTos{8
zi(-rZqA0al6mNJgigvLmeokBzlUo+W?cznDTe>JbUR)H3wTt4B_ZCHE+oE{?>qT*_
zZ}A@Uw<s3I7lp#yqOiWXD1`Jik*9G@JZ*YS)Hz)fpZQ-C{ZZG%x%6vd{ef#j@9}HG
zv;3M!dgYqfcJP{b>BDQHsq>on_PcB1^uRT7^{;C}@%%Mmvv^H#=bE@raY>ZvEr~a+
zmqdrhlK3TbNlYayi95MVLce%Pcs;cwk}H<PqpvTCs)i-;!6!?i=jf97>&GRrIJ6{`
z#+QWcr6m!zvLy1Qu8U{XuZsgF*Tv_K*TsO}b#XrOy4Xm&E({*HF1&YK7b(wP7u)w;
z7cakcT{Jge7vFt;U5xfz7uSBdE|mYeF6^eRi}0)0#r^Bo#cqXV@s{qg=(JiEzq&7r
z>5ye{H-1?d<}M4LhnMd$*306t7na4onq~3fyUXHu>$3R!t7WltVp*sREerd9mqo<v
zve<fKSv)IwLmX7QA-*uaAqE|8hzq_q#Ad_|VU%`5_-?%+(jL1ZcI>_(UU~V3XgP30
zeE-1>ai-&jxc==8q58`W;c)tfh&*>gJg{&>l;6G~-j-hxM|4)iZ<Z@!#%)DNgsceT
z_!Z%ovm(-qR>b2^u88WrE8?TqRzz?8iumW_6|vm4BGgW-2*>}eh^Vm@QE+iZJh!|e
z4oTb;U#i{|r;Kiji}p8#r0-2(5^+=br`{A9_umvdx8D@6K66tXuDU6Hc=M(hYq}|J
ze0Ec)e|u9n_1_fHf8G=iPTmxIuG|#wtlbn{a;x_=EvsVIVpT}FtqRlNRS^)kDl)TI
z#S;&$iv1<4;^XI6#fkl^;@@{x#meDTq0zM}oPSsqF{f5V;XkY5`I%Kwe|=SawYe&W
zRBnk&hPQ;Y{VieUb4vt<-x66Vw?s+)E%Dl;w?u2%E%D<^x5Rket$WPcEus0@E#Y$P
zmWciNmUw97me_mtmUwsmmN<IrmiS$EP0VSn2^otuVeYynf`ZmWcI=vXGHXrL6t0O+
zo>&uod)Dqn0j-JELu*3o@S1S_a!thbu8E@G*2D{E)<naFHSzV*ni#&jCN3-A7P5x7
zg@xU15$t_i<b>T8yOM8<*YCS6+P2*mKRtb0OjO<$x8ArdwBNri+}dy7(-7Vk51+g(
zD*m`F-kZ2Bx-Z`rf2`gX^D^r~PHSCQny-rxmvxaFxGtWGSr@gL>*CV~*Tu=5>*DNl
z>td~XUFaNI7w#Xei-aTVqWJrD@#5gRX#9I!d^5c+My{=kD;w)VUipr&GPol`ZSROJ
zUU%*>!gs_QNq0nh-W~DtBX`7P=^b(V#XCaxjXT1l@s3FR^p1F>`;Msm>5h1R_>MUC
z-yQMi+#RuS^NvuE*$~#68$y_Eh&<;F@pQn3sEghZpJi-_{(=p0?(q$=UcMppsyBq^
z+Z!UOWkYQHVne)id_y$-x*@(D-4LhGZ-}dl8$xkoL)a+Y73kj;_u1SPWuAA%o8qqM
zNW3e4*>YD*72g$ip1LdaU%V^4YVV5V_wI^E+wO|0ukVTv`tFLJ-|vdQ#_x*7OLv9R
z&AY-@dQ*gHY>Ir-P4SG=ra0igDL#+d6a(p-;`{@fVq?dqFeu*?-mh$ml!KdM`-hw2
z<<3pf{N1MbZeUZ4{<V2eld&n37dM67olVgqBZ0fJ1ihLPBpOICW+uTlTM1U2C8+X}
zKr>K+W+ZTpk>Gfe1o4>?oXL}*_(2JlACaJPrv&OxOVIS31kRNb^i)d_`-TLgZ%a_r
zD8W*T1Qnl3pn61t#%>85zn9?HPZC5AN^p8ug2KNgSo}|dz0(pXUzVWZngsT%5_E4!
z5Gf<ch>|1)nvyK&OR~pI5=C1{>YXLA^^)XhfF$8aG8`?*)+9;hGbAa`lSKYONe(?C
ziS<rNx=JPCIZ1|IlqA1elDS$*cE2r&Y@;LxTO_gkRFWfKND|sD$*JR#<ozVc?5~oP
z4ND^Zw<HJtlf-;llFm6vg0D$3cvF(x4M}FCr6^UBLQ+$TI(;cj&7|nCks{DpiUCh4
zvIC@;7E<hrmSQteirNe*jPs;uFOb6j5h?l~mm;%Nim7rbN?w#=;}t1tYNarITZ*>#
zr0{K#;$)i?>0d}O`Lz@~k4v%MC&m6>rO+RiqIFaX@BgIeJ1<4*oD>s_QtY@X#o8Sy
zs->mTRg&hghBTh~(ws1rCfP=saVKfEdrGtFFU>w7jdrv&Es4^&XGqh#MViC{X~v4B
z+4i_JD^E#NRW6O@i_$c|B8_XUG{+B06aStxXFimsxJ{bnPH8H?mPY-!G);ZdIR7e5
z&+pR2j!H8+E=|#SX_hWYQ?V$G>P=}H??~e)EyFQI8KO00IISl`p{Wdu)-vpMl0n&1
zh6aBb?1c>7Q8Gj($}o~HL%|jq79NmcPq7S&kIPX1lnl1zG90atA^a5?hF_Oq>p>aj
z8)PW|PzL!n84h*IVEwfWUEj$-pA16-GUWd*!`xpo>>igv_Ph)SFUerJD8rEz8A9*K
za7s#+JVjY%)nzHulSSH8mIKzZm^;bR=^;z7zbu2HvgAg|GLs-nX}T<uTV$zwKo-+t
zSvq#e68MxX1JBBmT_MZ#K3R6XF3aXyveY)nV*H^j?Vrfv-ziJ~QCTv-lV$2hSxN?E
z*%*?g<}X<c$7N}olEwFuEGMtZlD;C#<hm?7rQ}#wkYm5P9Qt~4w3^7_Z7oNiqa3Lo
za!mNiu_IKDwMaRt6XeiMm*a4*9G(xzapGY)l6S~4zDthn&&sj-f*kwy$)Wwa94&9j
z;ocxeZ?hbUpU5%xxg6V$%CXWTN7avVXb#BHJS2zfUveD(SC058InK<=QG8X7<r{KT
zuFIh=B~O!rJkIL!^ytbHYa-96l{`g`@+`T_Q{g9%YN$Mok@7eu$a5@Bp6Fb8PH&Z`
z@L_otACqVAE_sxnm8anadF=Pe(_JG^<XiHLyem&Zvpfr}^6dFs9>t^b)c43^`=dNZ
ze~~AANS@)-@@)NAp80d~l+Vf|e^s7CH{`Kim#0fo0TdJ%Qd1ybSAjWW1$J90AnT~W
zL3af#{S-J7qCjY*0;l2?$V*dTHb;T7tqMp#tiXZC6fobVK<91+f?rTz@MQ&ZYZRC{
zpg`%n3P?69P}iz}>E{Y`e5F8Oj{*ZH6v+NXf$9G#u<Nt}n_~*po>RbhR)O{f1^jO)
z(0^NjOi4wi<P|AVQ)EL&ks4z~46PJtb5O+BU6GT%ilm1qG8v)B&Ui)EQx(~tqlo@i
zMOup#@qSE^z9$t)-L1&PUPX4itjOAHic}v^ME6}q4u7DCXR9J7IuuF%N|Etz71@45
zk=1@h_We&0?bC|1j49%NPLbY=iX<*5GPbP9w%dxVNGMSyuY{(W63seFxEd>Q+){~n
z2PMw9DN*dJ#B#6_l@Us)$1Bm4s)Tcn5<T}T5nH6h=yoNFo>XG#86_(ADxvza5{<7Z
z;dnraWA#czf1t$akCiCwP-3x5iM`({p?pG#hJGdN|EEOvpGriIDKRpsM8QQR7Op6<
zXITlw+e*|+C}S(H%u!Wk!gZ7xHd1D*r84vO%9Oh)Bk!xsp<rdKBb4ciQ-)M!hO(8(
zzh9ZThm_g9T^ZRYl{xr~GM0OlIZ~xe=xfTHdQ+LadSzytlqvgI8R-sX4s<DF{;e{d
zKPVI2ugu^nWpe*iX67GdN+*?(yr@jw6=h79mFZYhCQw3!0XY@2RaKbQR$-Ts3Y!)x
z)Y_|H?50Ayj|%?5D)fh|kQt}KREi2E*(z-0t5EZh3WnQNXe&{{_ZbyVKCeQ0l?s#l
zRoMBa3hVEvu)j$K{f|{>{Y(Y#E*1KYsgU}E3KKu8u;Y{pYa=RD|D%HLqzZ>;RPel_
z!inoDB(JG3zNx}?IaO9wRN1Gkinfs|Ef%V{+pE&+s!F1dDq}&aYztRqC03QH6jd~{
zRcX#w#q}Xojz6kOe2FS&%2X+SUX|sSRH@vriu#+XG`*vWbCW7PhgFIFOqJ0uRVg~A
z%2KZ?6+f$@dP<eX5mg-jQRUcKRibB9IX$mR;dNCOZ>h3(Qx#=7H5ydZu-8_j+fa>2
z3pGaU)F^OOW5HXEJwa+HhO1E@tA=fg8b`C#2+vnzxKNF)kE${Mgc{{#YREsY#-W$g
zu->mmSDhNXqsGwtYUCeQW3F9|-CwF9drXaky=qwgtj3Yw)Ce6><J1{7^3JL;dqIt|
zc{QZ3t8w6#8s?j7bjqp|tfJ1KmO8nH>dcs{Q);J<q^ml0-s+eJsnZdrPGGD$1Ig-S
zXQ?xNpE|n=)!E#pPVE!w7?-KjzDFJZm(=NhRh`T_b*2ufQ}Vt#8y~4t)2@!;m+G{A
zqmFN{Iww!6lm44JlYgkQ^Nc#{6YA{0ppO2$I;~6Uc;8Z|@2)zjvKmY%Yp_F0gEa#U
zs?9afwbS6Riw2(F8k`8!AURBf@fZ!ZCu^{pslmScG|(>8pk<o|?oVjY`?Lm$do&oU
z)L`4I8mzpbLDeA*G~d^t`6CTn+ch|TM1%NmG&u9U2E`{eSRT}%@(&Hv&uGvzp@H)S
z4SFtX5WA$o=&A-qcQsg&(WF9I6ICru8VxjYG}q*qttQbfnw<91q%csEMKswPqlt2|
zCJmXI*x#o~_k)^5ZqsCBrzQnYYqId1CVMJ1QG8XC`ZqMOJ*3IeMoq#$(q#BkO|~A<
zWWHOI^6xc~KdH%~K~1dx(4^~cO_<PRXj+r}%bLtx(`5ImCbD-mIVhurrLq=BG_?pd
z(BhPt7J0T>%sOjP=B0&npcV(v!aPQc&Lk~@Gqo7Z(<1jlEoL6kqI9Pgl22<<_na1{
zm0EOEYZ3T{76Wf<k=>}pbc+_dKGkCL3oUB9wJ`o(i}s(i@E_Eoe^`smzqOe9Pm7Xi
zEjH$~sJW(v;i?vG8(R3vXme6Yn{-WWCiS)1X{OD(jW+w8wbA#|rZqqtZ?x%))+RMc
zn~4l<cI0WZR-jGwBiiWh)aG!hHlELEbK*s9lB=~DuhnMz+uE$Yr_H_=ZL~ktrsWH5
z+`F~uJ+4jSPuh(As?D}xZB|CLsrpYF&1r3#=d^LXrp@u2+Qe^Yb4FT+VkI4xHFT)d
z*FoJ(hb9{xoSk*(@zfzUK!;JGLs7I2ONlyEWayxpr$b|b4vvrLaO`m%qDyr+U9Lmn
zi#ja6qQl-=9hBeJq2WCp>|1o`Zqp(13mrzj)}i3I4hwxc?D<s(#bF)lM|H6MPlu!D
zbqJr+VR%u8tv7X;zoSFBv@Y^Wx*XEb#adsNE>m5w(PhX<mwZoM=KOWpEp(BM*5zQL
zE|wX(9ND5vXn`)Lign3*T$kCWbSW#>Mfycu4!oj^d95y;2XzU4PnW?Db;)hhWu{Y?
z(yw)qJg!S!pDw1q>eBJME`g)E42<iNeO{O8OS<e@)Max;m)bkJ7)$HXuBeB<h93QT
zdSsgFF=eesiIW~19(vUH>tQJLXp7RrH&Kt1>3XDZ(PQ!fJ$4rBvA#o({ZHwkU#>@M
zg&y9o=+XDO9;pZQm}t;r$A@~XeWFKoryjar>v8xyJv{sLI5D6{^6z?#|E0(FaXnV2
z^w@Vv5A8)gT2}OMzoSR5ls<`y`i!aTvrSK*6%&1`to6}!(x=%&A6I{Uj)&?KAEnQk
z1bvFr^;yo<r}6=P)Qk0L+M$p0Q~LBgt50l&KBN2eDSBO>rML8{XwXOXLwy=Q(Z{h<
zpJPY$iT+NX(?9A{IH1qskUo3=(non*pN1)Y>@VrleN~^x6@5n5^(l}tU_rrvJ?aK1
z>KRaPVt}o+0Y@DT2=_2x*w28ip$5!H8c?2KfPA_EhjI<De!zgPhYetd0YkeC$bZ&=
zxfcxBz0UyI*9|!MmI0Ox1{`TNAoLRhPJM1b-cbW)dkiT1(E#ZI0}c!sVE&f@o&OpT
zJY~S(tO2=K4VbxMK<T;xl2V4$DHvj^Zb*l&A%P}_3|JYG?P$ofyCJ*$4A~4Zq&CtJ
z;{-$6(+u&?HKc#5A(;;wGWD1tCA$pS*lkG73x*i(Go-D?5Z|{9Ir*+3>CJ{rwi>eY
zb3@j@GGu>`A^JZW()x=b-b04;oi-%(UqdF&8M0&6khKLvs&5#gyKcx~Nh3TJj5wiY
zM6#|C<Hkm8w=!bY!H9kCMrivP(Gp^Wd!!M)@kS)388Mb)#I~(QtP~kh^_UTwyNqbw
zZG`I!MjU_Hi1->K&KxkJ_+2BGKQN-Q)d=;^jcEGH2<ILndQKP-`->5y|1+ZKv=K{V
zMpT?LLUq=N#swoBZy0gxwh_^i#+;Tnrclk8MIB@I8XKc*WlV#EG4}4pbo&|;8Dh*x
zgfRv2#w?^7vnR(G#jVEF7a3#wm@!A6G$wqvF~fU}+4{0E^RF3Ge!v*{ca1spfic#t
z#&mTU!&k-(eQQkq31jB^joJM_V`NVob8yTU%X7vYxoAx2f-$F-jmf)h%&de7W%4FS
ztC?^>#{_d@6FMzT2zD@G(9MKgUlV46O(=~pK{DQix>OTPb4=*C--N&-69%@Mko}|y
z)6bZ&Yp)5LRVLKFW`gkn6WZ%d@c+Ps{*O(_>@Z=f%Y>3|P1yLsgqnU64F6|B+n*-*
zj+t<B(uDMjCQM#2Vdt_5>uV<LmoP<N-jr5VQ@nLd=`%7V)zXv+dsB9}nX=|%N_DU)
zx)G)vjx)tG)sz$2rX=5Q%J@U3Y~OCmYKbZPo-svxuPH56rntXmO7EMdB-WcU)?~`I
zk4;(m%#^AwQ#8LdrTGU_T>DKqe#(^iKTSFFk155IrYz5xQhCJ`^<`6<)=Y7hFr!D#
zj967OMzzf-GBRVy!i)-gGgRHoX!J3|G1!b_;bug~nQ=PBjKXX)7W2*6`;ZyR+s$Yw
zF~j~DGrFHQBeKejk^N>AylKY5J7(-@GDGoWGwMGx!?w$eqsPn$|G|vmpUv2M%8dCD
zGs^!lLw?eXLo;SrUooTWx*4pQF|=t$zMMI8D(39gHb>UToP!qTSlXL&#MPWoA9GFx
znUfc8&TOnXWhv%JXPa{%-yHLY%;|j8oZu332FuLJecqgzm&_^MZ;s@f=G47oj%kxQ
z9f!>c{LGwzFU`q5X3li4IlF!~XY)66YDdg5{>Pm5v*!5EnA1ORPUdxUrf!*2vT4qS
ztOYeH78q(<&}L|XuZ0CC?JP)lwP4cQf}KGYtcO{!Kh^^M6bo9jEbz{^ps&z^)JH9t
zc*24mWfrXMv7q`T3v~BeaJbF_&vz_1@xBGghb<Uyw_y917OZ|_!M<J#w12js<u?o5
zM=a<)V?p9s3&t*3ux;Lgl_d+RZdstYX+g8BC9W!#9M`fW-q4aW=9U!OS+eY6Nu{?X
z>Oqz?g<0YpYe`SCC9zqSjNWHSQK2PE+bpSg!V=XoOB(lB;`ov!$6mE0y3Uf*hb$?4
z-;%|TEZN&`iSn10G<;);eXk|mCoPHm&61HnEGal+$-;ysdoEa_IB!Y)k|nmcEIE4D
zl5klohLx?@s%6EzffeQER><2~amd9AYi}#M0<9p-ilG=Q@{_HY%d}$meOAa8T5)ij
z6_!s}apY+$Libp4s?v(QSFM<R!-}#)R!F~Z#et8kFmJb_^N1C}-&isDy%o79t(Y0K
zqVx|dB+pn;H(`b81uHr(TM@Wq#lWf+*>|m&ma%4+vNfBU*3=qUV{C3syR9|;F4pvW
zS(6!P%@o#@#8|VDWKB(`HHP<D)Apb>zT2!hxzn2Tr>&WM&YGQ-)~r`sv;Pfi^bc9n
z+GvgUN7nRxYE9}9YbLs_+3~$KYd=|2J!p;YAJ!cH+ZxXaYfemClYH5l@oUy>U$tg+
z!<v0EHfSr`(4uLByMYb8W;P_++A!v9!!|D)Rsw9O!UoM48=8}BaLu&gc%BXM5880%
z5gUqk+OS+|L*;Wes8`z1RBeOv8#eU3Z9{CM4WlhK6n$#L(ib*Vblaf%y$y{&+2A;6
z!?9r-qW`wx^nW%KPTR0JXT#oWHYl&!(6C{Hy^Jm0O14C5+A^YVOM#g!3pTdwakfR#
z%a-~8TmF9?jkYB`$(G>^TejxeGGAaz`6IT-@3iGmsV&ye+0yl*EmYewRBKEA+qTTT
zXUpyuTVy}A<=_{#Sa#cT<hU)NKiP8XS6lLiZJ8alrR+ajq^E5;FlUSTHCsAw+7i5B
z%b>I!xk`4-XxLGzZ-=Cr9d$N#m^$0h;b});fE@$(lr`DWc1$PQu`9!l%`JA+7T96@
zh#l>Z+u>hoM}N5;nJ?Ng^@<%OwRUVAw4>%dI}BUwXlt{>_X|5ter-qkaXTja?AZCM
z9qYf_v47MK{r~J}J#UBioE?3OcBJ04W8#h-JEZMdQ?#dA!ya9Idk&l0<7s2h2`77!
zJ?$Cyw`aSsXEn;6eTnvHXV}xS#UA$pdwPrQNqpR%v8U|WR&LKqg*{cT*rQo%PxC>0
zT;H?j_=onyx7l;1)1Kn5?OFcLp2|LZ)PJ?7>34gaNA2kuw<q?zJ)@WGDO$8=X~mw3
zJNBqbJJ6`;fTM;3$MhVCHg({%wF8At4lH^&u-D%KW#K?WlmqsO4s@qG5V^&Hkp~<o
zD0X0BhXZ?_azL@%f%*yuY+rHU=<5!IA9P^2!GWzGIxzo<1Ld6#$bap?q3;~9?sK4P
zzyW@DVCXLg^2Z&Rn{r_HB?n{|9XPn+faM(rjz~EYs_4imbw~2_9GNw7q|Dk8X(vYx
zcsOG2??`8;Bf(LQ3??{|o9@U=t|O%nI3ii>NZk%cOrLV3<5@=nD;ycv=ScSJj!eJh
z$gT!QHk%!({lpRDPDk30I^zGGBmF-*k~!eW)Q}@3e>t-8uOl^6ju>8Yr0uFBzAKKL
zTz4d0%85w@Cw8hkv99aHeiJA3t(|Cfbi&)ii9SCkQbV1Xh;(8{f)i_LPE_YQq5FUn
zhaYyrbB7Zrb~%y!tP|reII(@76RR~&?0d@z?FJ`Wnw@a}#EIU|ok%?D#8{6L+kSLn
z<rgQahMds+%ZcWHop7CU;`po+@mHNVbHj<^btjf3ovBoCMqS;RCS7NoO`PemawgW%
znNfFViu{~e3UQ_)(iznRXByL-am;n**j8tvA9m*SW6l)ra%OS2GkaffMtPqz4K>c#
zzvWE#yUs*5J2TSiOu^^QEPUn6o*riue{`n)7iVmToH=^hnecy|89wLC)>&uf7n~`-
z;f(ycGlwKyuvT!POU(szT^KTUA>Yb{IR_VZySpIk=fc4d7c3)PI1=wdXqpSBa$LyU
z>cVW13uTYFAic|l1G`-?f5C;$mt6?1abfU)3%T#QF!O;6rL8VVe(pluS1y?LxX^LJ
zg}`5282FzH*{5BY9&=&WITtoBx=_2|g7FO(+HbqyFX>9ZyepY%u1x8;Qey1NhNUYt
z4z3uwyVB<Cif@Q3CnH=*k9TD<)s>w&uB_kh%Kjo(^dEDj^+{K}ce~QJ*Ok<lU72{z
zl^q9MS*v%Y`U6*VTU|Na;fm*1uAKPRmE;qyjQ6{;{eP~k{^`oTF;}$Dxzcjc754>K
zdY4^EyzR=Egd5xB-B?j|qe{mOO=CBjE!}W+aO1d}8}YtwoC$WLIKqwPI5#R&-B8bQ
zqv?J(oQvG(+3rT{lWvSY<3`b5H<qg0sCdl{)dOxc*1O^Ofg8s@b|bpOjniFj6n^W*
z;ty`@?RP`@e{MAV>4yE78{Ly`L|$}b<cb>w%Wf>Jxv@vW9YuL}>Q&vb)p6&jkvrj*
z?hM<zv(?R=c^`MmgWZvjaOY5*JJzZ0bY;84{q77s<WBx}cjijm+5L<=vU}Y*Smlo8
zYwjF*)1A<IcTP3AllQSZv!A(B*5!`$x9%MH!5#B{cREkG6a1$;ga5dbJL%5Mj60=Q
z+>u;%r*6$1Qwa|`<U9ye^<Y5TgKQ%YrY$_!W$(eJs|U3{9vBCE&>rrAf1C&XDIR2I
zdoY#nLCHfNY&_~gO^FAF&v?-Gya&Ej9-Q3oLHe5>Oupm6&L$7m4|}lxGY|B;JZL@U
zf%gv{^!@BX>M0K<Mm*T@j|XdKJ*b}XK=+CVhp&6!x#q!%O%IagJQ-K<WV^N}tA?KJ
zv+zXQ-jfzrPuzVx=?(HEG2D}}SWmX4c(Rh^Nmaflnh$x>{HQ0cC7v8F^CbRxPtLsL
zN%4M9mg_vJe8&^@CQq6Ud*b|=Cp}+!5_`;((OyrAe)eSPH%}@?JW>6}lg6{2IL>%-
zY~GXT>z<sx<w@bDCyTOP>{anXS=);SLoe(tyy&*`BGT215pORFg1lG=^I}h|7m6uf
z)Mt5NoA1TZLNCG}^<wx5FSeF>F~7%)@|V1j-|xktIxno>@uKT}FF5SQP`elTUwSe3
zjTgIny^#Ici-W&;VL9T(kuzR|p7r9?1uydEy_j9{qU@Fz(wkl!koCq~#hXqoZ-NcI
z88r7M*Up<67jH_vy^##^rY_7I(^zjhlD!Gc@@C*ZZ?X%$ncn8jt|z?NeA=7ZJ>D3<
z<W2jl-uTyf(|^dD%=f*S`pBD-c5gP0cvJI@H-^35w4L<E_cw1&{^3pf8E+;hyxDod
zoAt}y>|gRm|CTqccfIkJ^`TGMhg2;eCJcPoVeZ44tq;{MKInS;a5&Hh&oCcO#Q2b$
z?8A7b58LnaVf8^D_HFY)`w1Ufp7z0gj}N_-J|w>C!`K@>Y&+z`N}~@|ANio!?nCnt
zA6&oj;rRDH#Gmxx%%Bg&fB3Ncw-1#QKB!;tq3N;@&PzV@tojgp*N0IVUy77{S<>{S
z!oU|*b6*;5eQ|X0<(QW*(Sg34#+SkvUlx;m*_-K$@_oKEJm`!4Heb4T`V#rHFC)+S
zQc&s3LbWe@-ta~7kT3O(zSw@`%h6AL2|wb?aJMg8zxQSSCtu13eUbmemqUO1Vm;wY
z*R(HO_GRdrFZrv!%x(CxTgDGrWj_vT`eA9{#}P9>LT&vx<?KhEmmjkMew5*dbc`Pd
zlKe2w^rJJ+kKhOW7<|N!+?{^Rl=@NnoF9^ve$-X_Vfuz29dG*)*yzVViyzsa`Z4{5
zAG^B!*gWn>?N5Ff5BkwQ?1%r~e)Rw6N9MF2Q*(ZlT=Qe&rXMvMei+L5)28H)uckjI
z_5DdV^Jmh=pPkPBtb6*iKfoV-{ArE$$2-ZNz6^g-^Zc18@Mp&({;WOjPj#t3y3hG@
z_(gv_tNl4q>re9A{*1rp&-NC7R@?m9_k};&-Tt&3_s9Jwe|mrQCvn)Hu~C1v{pZih
zd4H<r{L#GTPxDQGTsQnVE*(I;QUGT(0w~rGVA(W)N}B-Godam{48S=cfF2P*Y;*vl
zi2)R41hBLvfQo_uR38bT@$mp0O9MDo9zgVq0i1p%fWq1U77qrn_q_m=TLNfk3&8%1
z0J^^pAo6$sBYgoB{2IW*?*Z%?4M6d~0P4>NU^^GU(ZvA5Zw4@YCxETefy^rgQmzq*
zynY~uOarmD38c#@5Ih4J@((0m1Tq&D$nL~IWHSOexFrzFf<TTG2NL>tAg7)RB(FS>
z*@{5QUI|3HHjo1c12KOukj@VS32qByurrX{uLGI+E|Ai`KqP++r0(}XOh*Ih7!M@y
zd>{jt0?A$sWO^l#U3UW6lnSC&F$iOgAlmhU@HY*j-#Um)ry!<0f++D1Vk0z&ny4TQ
z6N6|=55jj#5GNl9BE2|>$sIxLd@6|bXM@;Z5rqCLLA1Ueg!jQ9`Wk{r{V<4$PlDLd
z8N}MrAgaF$Lbor7!vjHh{vO1Mzk)~}4`O^Oi0zkxSiKs=zLg-f?*!2z6^y%LFum%*
zB<ck-W)jRc>tI$KgQ@ZeM$<o-=FnhVqk=h}5KMe}FlTauDSjZB<%ff*+!2iWQ^7Pn
z8;o;BFg^Q%iG4ko(YJyrY6xbjIhcx1f>G@ZrtxSnj^71y?8jiD2ZA|06ine?!7Tn8
z%-*SBlrII-a5WhFm0-HpgNc+1VMHN>0`(9UbVJx<5`v<22=$I3*m{I;)Gvha&=7_r
zL)e-S!hBi?<+&lqKM=y9heNR55kl9l5O_9(p%+5P-xtDMO$fW+3PH9ZgoDi?Sbh@1
zk<UX2JsQHPo)GeW3}N<{5Xy!^kp3%#1OJ9#J{3aeYzV<uLm0dfLhgD9Gm@d)^Pxpj
zJ(N1#P)toi>97hV&@q$&_fWF^LYWQ;WmjY<oAII4riEgh8%q1uQ2ZYbrT?)|GIxbC
zwL6rO7ed*1Ih2~3Pz>J+rR`oMkZ*G+CtE{F|2&k*dl4}^dqP=15z78wLeak$8Pa+>
z6z_jS={pxn>b(ewiG@&h+z4gub|}@70$l~cVKsrLuHb~RAlXVV?jX2lr_4P|VeZ-L
zq8%w{i5Ix133_t`iCYC@MfdCw9}}!RDX7{l(0oDA{IbBcMsWOqApTv!nGXcTt%Bta
zLFHEh^&Uaf34!x3f}Z~gVowW3#{@;^1WOkM6$=8@8-m8$0>^te)-idAzBiUVtpkPk
zzGoLLVeh>*P5EA_)^P8-w!gP!-4PHO4<o5ikOK?%!=55gd<^QJ1l!$kbT5Rz48yO%
z)&nqK59J?#eCs{8oer@63c9`pPQXw<<o^%m{)F9QAbSoDUIfbpII;|(x8amT7<uwx
z%&LY_rW1y=aTo_I!!UOUqth*nVBatXgTu&;2xBHLjMCIFBy+;3yFU!mqA)tPhY|Q>
z7z59Qk-ayJ>8dbxy%xsin_<+}hhh9d80{a2;olKPe^(fp--a>uLl`CfVQicVqvp>r
z49CJ~n+(JEVi+f{gps}+#^hQUJ0-$dmkVdVYB>5j;j|is<82vEpM5x~ZsAP$gtH?!
zoVD<9s^h}ZO%3O8b~v8*hjZegaFVx&GhPzT_GiLbeLkFhRpDsA7Ea5X;keg_)7unI
z;>Y2PeHPBPu5eb4g;VuIIGX+8G@lB`_0MpQ{}WF9WH@JL!YRHI&hqteD%ZkMmx!QA
zE&^xO2zs<5h&75})FOf+`v{g?BdG9+Ks7jm#_$Ln<03eg5<zr!1gG;OD10b_#YZF9
zTM~itGZ8dAAAx;U1l{{1h<r1Gk#`~}Xo_Ira0Giki$Jj}g8E|-*!~c~(Vrs-KNZ37
zNCaE|iD3S01m!ak$X|)z(Dewc*COcJymye~A{kPNBwss{Im1YHTSOvjAIU-2NGyFK
zIT92}Xm}*2Vk5~*iDWh_lCu0rq#ugpz@w3vmqgN87D@2)kqo{RN$&ngX6hm-eJ2vh
zrby}zM`HR}BpqKy5_l|<f!;{6e~x7Ow@7x4M6!7%lG?M87|%q~J|Bty^+@_}MUuH0
z$&_pqB`Q&DXhl(D7=@ul6m51<__{`M(mRUupeQE8qSzT5#d>lS`?I3Z&yS+DFbeNS
zqv(4giqx_wCiX<J<E1FpUX7x<E(+auqB#716rP8pIME(O@|RJJe-p*_-Y8a2MzQa=
zD6~hSXgL#w``IXZFGP_zAH~>G6x(h^v2r(xD%of>RibIuipJG2n&alt#M?!4#wD6!
z?`W0-qp1vwMm;u~rsQaxv!dy_FPhlGXhye1Q}jeMOHW5ru_qeUm!fHWH5$jdXpS9<
zCi?woPJa|lVS6--N21yLO*G2A(KMWl#{Rcxy8nnK@=P=%6VVi0h-Tq(G<%k!QM?sR
z{oQD6Wn(z197DKP48sO7Y&DNz-ZqAEml))|V>lETgLPO8T`@6`9K%p%4EguPF!x{#
zySK$4`$P-}pN_$DPYg#YV+egUhEs3EkasAC*~S>kK8iuQJ%$5EVle+EhR*L}2tFCZ
z;9v~7f5b5JcMPQyF-TsBq3&`Frb{t&ti}*{H--V3ShAI4nbwSDmq9F>X0g=T#$xOe
zOS@Mr{(-Ud6H8`HEK^Cblw`)TkrzwNgRvNHi=}O6EWS_2a`L%Y(ko+`td3>p8?mgv
z9n1d4SoA-NrS;QTypP1v*Bwjh_pwa;6w8jmSk{JPss1|_-HBKZPsieUIhGUGVo6?&
zWqc!+?J{w!D#fu+GY)NoI9kl&aJP-4*Ex<vuQ<j6;@CzUE75UOCB>nc8Ao$o9Ig+>
zar}`u;&;YzrZkS?=i*p?F^<aWIMm;Wqv`E9oEzilX^A8D(>O-Ih@+@Gj-}&qRQwc&
z>R=p=!*MwN9mlc%;)tG(<Mdn{h1cR(ycx&djX0EL;%QKd$6hm@ZvA*7&EgrciKoCh
zo(0c%_5{SENIdn?@z^HCb2KBK@Vt123*y=ONIdh8$5UP!kNk7-9C|Sx>*{#AYVSQF
zZ^twAUOf3N@yxZwv-^v9WV_=zcsw4<pW-?4YdoRD@thisC-1*_X3xh{HW!cdwRjHP
zjK_Q<o=)imf|U{&)JPy#KY<z31WIiZkaSL<&NBhifCM^30)f#93?wFyosq!wmIQVc
zB(PbWK<(oR7?&o{UY>yeiwX3<l0ar{0#gSQD0we|jSmy3X-mNHiv-%fPQdqg0w?<t
zNdGl~$=?&$Ihw%wcmn&+C!jx<K<i=x-ZvBIyOThwbRrXqiR{owWKA!TYSTn?Z4x=`
zl!&KiA}9P4NfwEWM<ud7F_G2uMD}e-M7to7mf}R*A5WzBsYDXX6B(;WWZNr=th}B`
z)xktG-%F(V!$e%$5;@+PNc`7{ocS)1;=V+d2NJ3LJrVWMM4HAEaXz0&&!t3S7ZVv>
zNu=mbB1=+9R468)s*yyaUJ{O`NgT6IBHAg5(;i6_`X{j%n#A6yB$N}AXh=`OeoGSF
z4<r#;oW#hEBnqBNV&T~&_EaRH_(~G>uP0%9Fo~lLNrZox#PBCcZ0$^9{%8{A-z6d6
zm&BogB&>f=qU*0D7*AqoDvA6{Nz7eMV)sfCvUid=D3y$*Vlqe6lL^&J=9Eb?dDh9y
zIwn)*k&Lu|G6(J@o0&%?)0vP=aC$O>xyj@{kj%`($&~I$M)Ij->Yh!;v?7^~eaQsA
zp3J~o$z(SqGu@obu1}KL{5+Z3qsbV5mrVPQ$@mW>(?66<=3mK7{hLh5R5Ba0$<$m;
z#&9K>w)JFurBXPlkV3k83X{4i>@-PX-71Csjw$GSq|oY@f_G>NeUT}oCZsTtmcowQ
z6xOz;Q2lTUx;s)hyekFIXHz)wLJG<IQW&pEVf$MttiGGVzUCCPKS`nG^Ay~VrqJ7y
zLgJ4pjQx_rwxJYOPNz`yZwi`IDKyWf;CeNM<2O=>Ur*tTWGcl9sVu9dQmLDYx=AWc
zR;f5Urqbh{N~~WhqampjMW(V8pGrkqDyq4uG;U4B@!?dCJ(f!Ju2fF%PNndLR2E-O
zWp7O?%5SC8@NO#h&8c*^rV{yiDkEQ|QqYsi!iiM&{E~{|P%8DOQ?dOwm80iU37<`6
zcp;UoH&U6uol3c68uAKh98yceS~ra@<20~JW5^+meD^fweACz+l7?(#8VBRkuuMzi
zNKP7|ThlmIlt$iTY0N&EM%nH(q+dwmz{_cv*QC*TAdTR6(-{09joj8WW;)U+{VEN~
zo;2!Cq+$9?8Xf;jBk*(@17m4qpG#x<Vj8;^(%4*1qxN<h#**o@%ctY7mQKG;I+@1l
zOj)K=;*idUTRJtq=@^Ej(-x7AZ+to@Q`1S$NoVr@baob{v%Wo@{ZFQ&zdN1Qz3F(r
zoKD|s>7*V=XQDox9Ur8#_HjDZ9qH(PmCoUB)A2l!&WZkXlK+>^_@C))A4_L-GM#-F
z)6rf?r)4=E_uJ|8N@S2IpTU@F2HSKpSTV|=$}$5@hYXtCGH~_H;COHb@evuEiOZlk
zHG}2s3@Y!>K)on~rtKLxKbb+#Ga1D0&0w@DgQC|mSb8&qiuw#xKggi*;|v@-GC0<i
zLG-s7oc<w$!u|{vPi3(8&kU5uGH960!2V(e-B&V*T+U!*ErSAyOcvxa*`u0?qE06D
zMw!@JW^&X%lW@08hJ7;G8l1^|cqZj>naHPRawt0!>-#h5dMFdNXEIchN&YjL%srpU
z?y5{=U(4j+o0(YFXL6(|lhBVdIrUj4d0m;z9?PWchfJjVGdXZ76Z1ba>HH^?;K@t|
zXEMpXlF7{VOiI@>k(9`yPA&^m)hs%+vj{ZGV!$GcZ2K&xU9;Hblf`CG7PaA77{_JN
zo|1)sb{75lS!6zx#nhu&l$2z#QI<u`^H~^HWzn`j3*R@hIQdQ%=}lQo9?oLtXIZR&
znZ^ENS?K?eMeEO5c%RCmZzPM<f3lc3o5hZqEY{|;sJ@<s?phXyH?#1R%jSeiHp$xA
zj2mXN-6ES+yKMHkW~1$sO-oQV?%~<=#%7b4lFe9FHrw*ESt-n>>d|a8OR{M$%f|Kj
zY>vN_P5l0B&eUa7{7yE@?`KnaI2-lPvT6D<8|P!$^z>#E`*Sv<zhzT2lFibYY%0!X
zqdJpK<9s%b*RwfxE1T%eY);GOP^gl_qE-%j4RcVo$f3b52Yc5Xy1jFV49a07EQf;F
z92Syu*promVtx+wg*n(hn#0j2atJTWVR%mtTVKjy{?#1H>vE8PCx=7t=U{y}hpzT}
z&EuCj41JSBes2zQCv({STMn`#IUGEbgXP&Aj$FtgbUueuOF87-%3=0y4rQ{rNUP*>
zKr0t>!(2Mea|yP~WzZ#;T<=_F0&^)1%SAFam%8L!OtW(7xG$H$!dwQn<&ynGF4Irv
zvTIK+o0YlLzM6}1T`uj1a`AsZm;R4($!yPM>PRjn-{i9KeJ(X8b20oam$pB0@ja8v
z$%$OjFXS?LIhUPFxva0|vj1)_`m$SS{l5mz{jU!}0mCM<lTMOOl4;3gCP|x2CXboS
zOlC6s-tYJO{eF>2I?3#8otf-RGHqruNhV1$NhUMNBr};wCX*zSj{o5O`F)<xlO$m2
zg#x-R7O*y3z;Lbr^ECpdmk6jT7Lb0cfW|un6qX6-EEiBF5-_9?VAKnkvI?m52uKSH
zXs8fS@Th=}#|5mZ6L7R%fc{wlle-0MY!;CEnt+{e3drvk(B3Ox^~VARKNFxG7BDd)
zpyCGsDW?VOm=cipmw*H32w9aRWFS?D`eGrc7YK>x3Q4|3Nc|Eai;IP{A*A#UAxG{O
zqAV9OE))_~2uacl*=`lG$RngRBxGfUki%6%<c|wEwN*&CUP$7zLbmM|lG`k#rB%p^
zH-+@SBShLOWUOCE@G~LvhK1CP2wC`pko`XkVM@rM86o0xM2wy%!k;Q)?!_XuED({C
zE2241M9C5neK(5!UMAvXsR-}gA`;3)Y!-^hR*2ZA6S3SXqSq~ALrBDl2SvE6M9g_y
z#HOtxvg$?bZ4gnsTSU)GBG$Kx7-<*bd`HCW`yy)lMa=(9#GWrjEE^GVa8yM3&mxZh
zCc-`=VkSXM&3R%nQ^ho8h$&hiruzyp>+-}LD->hBQOucJ#8j7x$+%n0uKUC+6^iMS
zi&?7^Gi(uKc8i$~im7@~OnQ}=##%9jTg7xfC8n%F%utgU<4a<uUKLZ>E+*|AF%9pF
zDd-o|F(78mmtu~7BSt?eW^!E2#^1!G&WPEWAR+%e3GEk1Se+qZFiV2=3JDWeOQ<N6
zkaDAh9k)oxE0u6yjf7SANf;1FP|GEp)=G$5BqX~f)CVOjeo#W&BN9q$B^=ozLHU$~
z@n<ANn<ON?Bw_oj5*D>fXzh})@_h-1KawCHkZ@{9LiigAiK7y>jZ4V=O+w3`5>_Ng
z=}(j*y+F#?MN)!UQs!MDrS57e3k#*}UnYfHq#U|kig=Bb(REV%0x5IlQnqNN<XEIM
zyQGu^rS!$62p^Gh@-ZpiEm9JmlCt?3DcMa@_U)6h{8cHvZ%EnDCFMkq6!%9`<_t*L
zG$bYK8!3Cgmr^_~rDsyg`ah+NoGrtdC}TE7M(ss1=4Z*+vrxvet7RO#PDc4M8OKXx
z*l(9HbC-;obuuyqGMZ#EinKDi%`(=xWE=~~u*PMasgzOun2d}qGInj3vGf@kUC+x{
zyHCb&iwyG{GN#{_QPm?O{UaHTpUNm4lF@lwM%ni=hJKP^oRl$jMn>h?a?%pzG^EHW
zxJXXNrE=CRlyh{k9Q}22CU20lu|!Vl?Q(YBB`1HKoc0ZJR?FlJYUF6maweQ|Dgts+
z;&OIW%E^07&Vm2PS+!lxz)m^p=jEJ!QBJ%?PVyUa>fe^LxJORgAvvX=$~p3d9OZF2
z<0s`rf0C0lDQEi`Ig8F#(E1MrD^nC4PFEnmRKcms6@(WnNW4zLwi^`WmMCahsbIxj
z3i|I=Al;x~OsXKLQ83S}pw6jaVL-wDm;x#l9I8<u{*QvuCl&a2DwzAcf-Ns9$Z1i~
zd_Y0T+Y0*LQy@H~;N%en-Y*m+99OXUq=M|96zuy|!SXW-dgmzF@DC*?&R612S2E{P
zC7Ui+lC@aL-U21XHz?`3S;_j9N=8;Iao($B_5mfeQYG^>O7@tPEORP3=vPu6Q*!)a
zCH5L6Gn<vvJgFper;?^!N{U`o(*25(bqACj>r`TWPsy1Nl~f;5lJSL-U0*9%dQwT(
zDJ5%vRWkgC67w7t)ALkRov$K2T}9)36@{0p=)6irS%He7A{EA)RZQKcqH?v0w0l)F
zJfNaLs-i=!VvR|~QHKh>U&Ulp#m0wKq}Hg|xmiX2lPcQ(r(*Rk6@z<KXkSq=@w$qN
zP8BKdso3$Mio7E#4jfgn>T4AP->FcaQgM1hMf?vH$#c}y&r`Gbd^K(VQd2r#&5;~6
z%B$3jU#lisq$cTRHQR4fvuL%N*0pL@KA`5XM2%dn=9E!Q*r6uTuV!0RP42^LTK=tO
z#b!1A+tf(^r)KOqHNm}V=Dnh(?sYW_JJswz`1fi2p_)UVs1YAkGkQ#o|2s8vPpR25
zp(f`KHO*&fD4D0BFIj`|Um8wcqQRS^A>k?wo3GW7U8G^(at+IG)6jdTh7D^qoLH~H
zEzvMXtznZ<LzY9sUY~~IsD_@68rJ_?!^jgFoZB?a?$A*CoQC;(HSF21VcF{%4!)(K
z{Gf*8eH!eaXqfq2L(MS_ncrz>`cXsCgof^E4eQR*a_n3!)?_Vb(zH}xq9r3o%dSOQ
zmR_r+>v}C~munebp~ZZsmg#%6RIS&NF45Ac(o$&D(rMRH=F>71(PG@FWvW_B<r7-c
zwrOeDp{3wCEgdgtS+ifu(Kapmx3o;Yt7T)KmefzQ?EG9y{xL1>C$y~oQOn>jTC~$z
zCT6u%oU0=xS;vkv9eJ1NIB=PcRf}{C<m*shujBMhI^rvIB;To{{vI8R*Xw8#>nK&}
zIAYMDwCfo6>WD^kByH5Oy;{ejCv>#_SI5d7Iu1ALkiVeg)XO@;Z8{R)(y{Gb9l3ov
zS`O=2@wtxvuXIRH=olN*5&T8RylEYEvpN=@t7rc|^^m6LP^KR7WqL-h)Z@?BGxvHu
zTW->mvqDevDm^9l=;^y(k5H`Vq*9O9peMnuXR}vNc0|v<hx9D3*3-L5&xZf%Iq|d}
zccY#;FX-9yvYxCqJ$pO!6u+yd=L0?K59=8j)Z_e0&+NB)YRB}<|3%N9-}Nk;)pKyJ
zf%1PEIDVl4d!~VzYy&k{8pzBy(6rP*(M<-rZ#A%Pm4Rbr2CVlRI3qGptu&BfFtE#J
zV5!$YSJ=SXhYSoqYQVh7z;vB~s;3R4HyUW%W1#S51D&rKDC;mV)NR1{fq|)y4O9*q
zNc+k_!?y+s#td|vHn8S*14sWdpr31GGRers3yq{^8rhj`B>zey?bjGtz0}BHu@UX9
zMkeksQc-3k<$fbOL`L$IMh@tWtg;yy@EB2tjhwD95`WZ4@+Kqobw(CHZKUm4Bc*$c
z9BDS9e9g%Cn?|DDMv^`-vi)Ntiw2Ff4jWndt&zh&7?Gbga%##*_%9=gb4_eZGLd_s
ziI$5^tjIRepKC&Tjft@(CW6H#=G|(d?hX?R%S`Mq{~H*IOdL{}5bI5hT21&pCgz4s
zY^gAj^QejD$4!*fndqxGA$-=v$=#;EbIm3aUNf=zO%vJOCieB3SpKnz-p@>I7&dWY
z#Dx0?6LU_R*feD#>n{^~&oNV+WTq$8%=(MXj4UwY%r!HcXQp<Enfb+L_F!h&9cB*R
zZKk~3%yFR^yTZ(j&P<KfOs2<7Q^-tFg_-UuGwU8Vb8M>_YrUB>4Q8r$o5^T4v#Zt2
z(l^a?y<=u=ubJU~Gv?3COn+&nYQ#+X4`v#FHd8odrgO$j**O-5&a+@lwJ?=op>lzR
zv|I}fc@_$mSm?OX!Wt|bEw!M(+rs317B&hkq$(`z)LF>4T4;A$SRJx3_@D)Cm4%5~
z3l&=}q|{s3(O@BOw}k^QSy<I-VW8cD`W*|W-?tF&w~+jqh59coEFQ7YHfo{tXA4Ju
zv!I-@FrHu~dY+Y}R4dyvtSnk!rS%FcEAy-zF0>-Q(fW5`$V#}>O5)vCw%unXS7@b0
zZe@keO25U5)NN%fXeIcdm3dWG>T0bl+-hb2Q&woOa;V9Q_$4c&uUhf9TbcWgl`ZdE
z$?3P!JYc2dODlcfSP_m|IXP~{`<s=787rF;Y-FEjW8VcfmS@=L&9brK3L7V`w&5<c
zG3Q1bn{Kg@Rcd4J8XLv;+2|42STDCRqP5|)*qC+Ms14ef|DcUMkJwmNYvbS+8|6>g
zIR1<cdy|cseKu-dwUOCwqp8bA(fc;KKeDlIz{as58`f`ZocZ2H^|+0U-)!vq)5g*S
zJ6(x()?Q#|_#!*zEIZQ+?NnWDC%w>4<1#yix7g{t-A>sWJ45U27zK8wWOgdGcG4_%
z8eDb?f_6IMcGf&%=jda0^jqvqZnv}X89S*>c6RQwlmDun_BZUT?y@u3V@LauorzEF
zR1Dck`NqzU@9pG`+c_|4XVsr}2F`Y%PIPcO#X<Zc2gz9u>K8g#e6@qN>l~CWb8w`@
zf%0|-<99iTu5*wiaIjtGV3F2AtJ%RymxIFr2lBXsQ<V<Fk2y%(;$Yi$2f5EUXnEej
zihU0HTO3H=a4`0^gJ6$?c^^5b`_#e0AqV@9{|$@3cW~$@2jWQwqh}oW&vr65(aDw+
zCpi~6X};7+$wDW6i=7Csb8_+qC*Be#3Aa1he3z5#bx!teaI#$Hq*vo)gW1UmrxSO;
z$(*>8O_ffv9&@tyKTe9bJL%c!Wc~9_MqYH{Y;iJsz)9`fPUiPG*>lLrvQM2H{K853
zaVN)5I<f!cWad{VHD{b;p6#OPA1;bgTy&?qSa+$5W0$+IE_QLIz(w^9E;347>{{t!
z>0K_m?sc(tgNtFQ3$w<>w8=%4(?xo~MPtlGVWo@C8W&~%aWV9y3*$}~Q@dPLzUU&Y
z#YMvb7X@#-=y=b?nnNy*9&w@n!o}p*E;gQYk@}O1oxi%sKjWf(j+@p0a5H$m8*RFq
ziTQ3SE_ai%*v*atH+eU>IdHR^RV&>LtahWm*Ujk%+{C4Bk~MDXO>P!D-L(1Ll*Zf~
zdDxAz#?AO<H_<2EB<*yweV3a>FS==c#m&kCZVq?4k-z8W)Q4`uN8BWS;bz;{ZgNk$
zX*uO)#jkGq|8OIn<6&%`hv4}h=B0b6o9|)a<sSB5<$(eZhl)IiZ}u>Hn+N}D4|DJJ
zu;l>{IZ_YJY7ZqQ4}A^~LcfQTQ4ijSJtWk4*u2?8_LCm={m;YlT^@S(df4!ahZC=R
zaCdr`^PY!IA9~0-;$iPm55-@5==sjW`coc8COkO*@GyIpm)dz==AZ9n&%eAZoA2dd
zj+gSQyd1yQi@nIp%yKU^w|U82?WJk0m!b!}bW6OfQ+qjP^kQ{*IpgzE9rcp&u$Nu`
z_Of)dm#%GI*8b1S@N-_wd%aBW_fqw`m-J3AjR(CHe(0t16E9^)y$l`mV*Jj_)Q?^&
zC%mNn;icg$9|iM#bR_#&^DiGqFY%$z@iDo`$Hr@Yq!#(ux!gzoZ9dxX^s#!akHPgm
zv=Sc^DjyX_A1MwWJA6L!qCO66^s(ySJ_erfq2A`>^bQ~K=X@mZ^-;gy$Kuz0w7un{
z^q`L;eLj?*_!$4(NA#GFr0;xe|Ix>y2_LP~K31OP=kU3H<jH<crTGb8;wLf3&$dN=
za<BE%a=o7w%l-7P@FTs`&)7YFg6sXvllZAq`B`Z6v)}%=DB|;TDB?%F(a&hLAO916
z=5F(|Wrv@f=lnFk;HPB2pT0If!ngdKeAkb+&riZ9el~yZC;OP6eJA`Z|IttHFMc*m
z`#CY|$9-;qImrPwr3J{kB*5Ow0u(O_(32lv{q+GxZVKRB5ny&zfZBTk%wHd1k2t_G
zRe*zr0Oj@o$GrjUkpMFf1*oYGkoiP_rvC;g+7Y0;F~GVP0vvlefVC~anT`O}?*_=|
z3$W{OfTf=Y==v(a+7khW#{!st2{8S8fU4O5>E{M%{AZBDv>=_CLCP)*GIV7SV}6jS
zr9moh3X--WNW-ci1@{E$xIf4magd|RAbLZPNn4PO-XN)wAUhull3yL9eN&Lt{|z$u
zbP#Q0kcmA(Dqaqf(iUV#N07XCgB<uE$g0CZ1_pzuzY22t+aU3=Aj!W3ssBC5;@Kc=
zb3>H=GsKY#Lnt#tjAw_4UKt`OKg9N>Ar{>fqV?7gD_4a$Toyupe~43}5MgDAL_>&e
zwh+1A5G~;lD;^5b|7Zy5rVwLwA%ahbnAaGhZcm7XFNfIwS_nEq9O@1s{vgEY$07WK
zA?AJ+V#~K7a>hb5pAJ#-dx*ZjLI~%EIhhp3dtsP_%rKj?!(?9>X5TeomM;y{TO4M?
ztzk~w5yo8>X3qU#Hi^PyDZ}j5hbgv&>G6bF9}Y885ytswnAyj})YgTW|8$r=&xTpH
zC(Oa-Fy*g>IsRrCdv}<b-Y_*Ehshia(=;5W=-V*eKZIF#I?S=DFxJ1qoH-{#by9?k
z3nT2hIKtBG2wk}m)?O1~cu53vafE3iRNWCFy(~gwd4xhygib|-GJS+0YXqYw!c-_i
zWkrOvM<X;m9-*KvLPvdsHP1#kx;uitIl^RXgpF@TNbQcWvo}Ki#}V2;i?Dh)!r({*
z?GF(qevVKv6(QxX2s_S+l9v?aKx&j#7e^Ub5JjCE<#b+@_>w5e#Zl^sviOcDZFfg0
zEst_U7)7awGOmjfwMI$uMA;sSvZx|TYgLq$k4HJYHHy4G%BhAZ;oVUZo1<)NjgtFj
zl$Lj*tmuu>-ycQ#S(LFaqXb8y%=;lq-Oo`LPDR;2^S2~+PK-n6#So{)7|n>`Ul3z%
zZj3E?F>;o~XudH<2{HOgV+ik#aq_+xUSW&`MU2h57}?es``j^>hhp?T7-K_Kj1#pn
z+*@PJsgJR#Ax75j7<*reQQR7%r#;5{cVdjZAH&%nV|E}$?Uym;kHpwB8e`edF%JF~
zqkJaD@q{?`^Ww~05T_<1PUeC*O;^Mz%8S!o7-!v$agN;*$66Za%$hjW_r=K&#@Qv0
zvs4$S%Mxd;JI-)0j`_hj(~rcds*RJrHBRGGaS9vabT-8)dnwM)t8t9&ai+TBRK6c4
ftv^n~K%9av<8*uzXU%AwqvLV(zr~sSGtU13ol&hF

diff --git a/examples/ode/DuffingEquation/Duffing_fitRandomSample.mat b/examples/ode/DuffingEquation/Duffing_fitRandomSample.mat
deleted file mode 100644
index 80959f1b86d83cf989ee7360939aee6596b6b44a..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 120184
zcmbTe1$R_g7p;v1cXtTx?vi?N2=49>+&zInyizXlgpdR$!JXjl?$SupINeA?<8bFY
z?*0D2M~^k?q|QFu&fas*wf3s+-lku-Hf=o{*Qw{(y-mN`<0nn^@$5Bq^xW|?W>0J3
zIdjIGNegRvwwvuUdalnn&l%HOc=jDV*R##M37!q=d)9B*qG6L3^&5FMsMnx=hW{V`
zGJ1E<tH<75&zK>rKC{cR{l99m{J+2RSIv+iv#vAhzlHzr{$Z8>|NcdkOldZ5(X8gr
zdc1G`>wV`Isd3RQs%*L1V#d(iEz9<6)Uq$5TUM}{S{8V}s%8GOM_cYG`lRLMSD9LE
z4Jy*AYoF?^UJWv|x*OH6)%fgFTm3ySsMX;Pj#hmxENkWcPim_!>-M(#_U&}5-%oG1
z`Ze)ot7XC8S{*8x)vFTuye@Al?iD?$f>-AmwY>HmYT~tLNE@$`t-E<`oiWg>=gTo(
zCpS#@dcN1st8I9&SF_tDuY=v3UI(5=dzD?8=yfJ!mDgHxnpet>ZC**4(!I=ck9c*-
zdB*GXvCCeslW%(^rabaGapHwn*F5jNiY@%=l_PUTgKKCOL+pthh5~K!8s1$fXsAB5
zm|;t)(uM{1Jq@!rRW?MqY8bAC)-{x~G%`$0X>QnX+F-brp}panx3?i_We-D*y!{M5
zroo1GMMfHSZ5?OWGGel!V(FQN46o)Hnw?%`7;!JaaOiHZq3NGthC}a7hMqZWh6mN0
z2A^ILhWksS4J~%Z8Rq}D%wY0LHcYavG~|7<#xT82sv&UgMuS(8t%g|h4udJ%9z#~^
zK7&W`Lk7RJqlV!fPa0OdIAbulFBqz{yJG0^{kkD7{kEZg;C;jO9*+#hihmglzn>dk
zKYncpI``J_ao@j&M%zCd8gBh=c(U`iA^uTDtS>Wj=u;MIWy#LjVmWcu&dtJ(d6_>Z
zKf!?oiCS5hm8Xlc@?CK(rApDuy9_UV%h7dXd8Rz6h@o^9_6)4X#i$z0y;+OI5_Rz!
zS)Wd88?xzrV|)zF7-4IH`9Ul0*M|<qHtc-Rj<U@<G9#ihaqqfd>DiseTY3^&un&{x
z_v7ll0i?AZ%%7=48CQ4&WtWcP=c_Ti8R)~!6BAh5Xfocbrn0v13{pd9(dzRYI!>C;
zmU{~s+hY+OkN8u*WB|+i29nnn#JH2exPOOWZ5BqmSw>RVhqL{$iC!fv%;{w%x6wx4
z19m2TaFDmEi+_f=`D%-x+~G)izmH-``52;m#bR0#N5`~y4%|%OeuhLMsxRkquOx!z
zClec=LWTn?Sog<Dmi$=7tP*RO-e@i3y04@4xb?hSn93MS8o>!0XtRDJ<{g{pdSElN
zk8R=2$*rt8wGGFK?L;2l!HPXQS-Wu;uB6@cu<zlV?_NHSPUmpPeH5;?pFgu4p!lN$
ztlD*u`KCko4?4`cibr_%>Il^~9cB2mW6ZC1oUsp&Q^b7&|JEn5zB)-`=P4%DKTWBN
zr|}wphGSpPkQ{!NGX>94KlU6Ki=QVl@;rXIE-=sk0*hZ=Ags?t%sVd<Sm+XCr(UA^
z;Y(b|dzsFIE)%`%GF$ImCaTC43|+3U-uDXER$d|f^c9A`&}XKrTq$;y6;-cNr@>X`
zH@(VYSzBG7)psR|U!_6jtCW0sg_~!tFm?46{#>NGx?dr@#1&3Ix=hxUm+3O<GRuo!
zCinSEEcd&_$V!(Oa^@lllP*#_%SFmAyMSMv3-s83p7kBh6MOa?HM*W-`l++b;Vj<U
z&+xm#8P?cO)APSm<Q#H}7kf|gt;k9GOg}-UW5+37_&D1}ALC})Q4&5Jp-__}^qGH{
zDccV*^Y4Sqt8@_CpaYyY?We<@edPWtokn@mxzbSYX5b$7`tGJ?+%87#+R3ylI~ezB
zJ3}&VXLQkR*sE{l-xga~)nzj~25q8=&qlmvZs5Le8dZW)scl-1hhrTFBGxiFW({TH
zSMwra6@M&SNuI<Nn3kn5HX)g`xFlxBEayyQB8Oeem|#!fqB)){#yCm^$Kts(h6;<K
zskb1C!E++nFe8E{Q{7~p<f8g`CmY5(NE~e^$0!>=M_36RVPWG4GeILw<QpB%sIf)@
z$A{rRIg}AILZ~+{n4gP+xD*`77Ha_gYcIvw&Yw!d7Ey75FG-OLNZm1y{<r3^^~WqO
zR+`Cyp3|}UPo?{&$>jcXB6o^U;AkHoZaBtL?(%3h78-?h$Oula8pgB_Lol`*OoiBi
zbbi+#k8b@Koz{m*d3#fNUQd!9cIR>TZv1<w3lAE5le)PRqiS~~+vfJdfOd2~*oJpq
zTeJ2L19RqhF(gkb#-_C(vU_tr{M(e^<xS|;y)k_<G$MX?1FFxdk4M9L)cstCO^0d|
zVy(rl;Wg>hum&yjR43|nRR&$GLio<gR86TwQ&&ayg;rqKlJeA8>`93w<p>Qa%M3>u
z?k+FQscofbdafk3UX);MjuNb|TbxEiiqY9rlxO>kkoQwzj@B<s#yN#Jzo#ITG8ZI!
zp91)<&d-9M`N%XRA0_tX<$z~i{x;`f-Phc_otm4&f90a|=v-v{Gbb}9<izKF4*p!4
zgQo>^FfBDZz8$lZ?RhqeS+lXWaW-~6$x6HEtQu=pE@#imh0|GRW6MI#0a-9r%);PL
z9>kyXz<Z4cKA|4Gndrg2ULMr<^5AuC53*JCAh@&#!%KSL)~Bcb&Qiw%gYKVExs@t^
zCd7m0t37ykM$dfkpsHsUR`gcg#w>I`l7(r%vv8tKR=S60CF8ZMJSd-y$8)oh?R+-6
zSIy4mu<TTSm7P7kb1?Wo4zkzI$<gGT1QpLkhsa!HE1a7XF}d+8mxl^zc}Q=O7q5$X
zS?iOJj~VjgnVg@h?F!)WssP&}3sSpXA!dClgl}45TKg2?NQI(&c~X=|>xwaFR&h3Z
zl^{G%NisYxNxnU$*z7LN{h4KO^eM}+rsbI9=}BDf^3?fJp4x9K;Cxz<-VZA=>3(Id
z-LHc2QB?w-S7X=v>Qww)gCqHB5ni!2vs%<)Ucb87X4PYxt3LO4G{ECtLn?SQrcS*k
zlpooY56))9ooG(ppDpOzv=z+t;?;HoZT^E6E!%J*s4ef#w<Eqp2aZnc$nf+|jLGZG
z>2X~MInWhr@$TH1*Mt5ydXlMWZ!X98VP}SZte)7PsH+3;GYq2hhQWL+HI!MlVQkMZ
zf=%;AGT_Z9632~U!Gp2f9_+)mo8$T1ZzA#6Ct>eDh2yuTQg`Td4nLg1B%fK7elwf1
zbLKMk$2{(YE}%?)U&<x;ajD8;%5L}PJ4;C$AAqxVAgewG@?c*OO@f1kV<D6)7|QZH
zp_E7o!#L5%gSz1q{Txn}gC??snpxk~LXLt~O5e6}JJCj?v39CdbFli2gSA_nRG8}`
zcT+dRzPib_F9MInk#ueq#o6ysEKQGQ#KIVcHI8M*`&g_S;z%7I&%tsD9JrOha{Dp{
zv`^&TmqaRTSWfv7NnFgEOxc6UWSg48(&8&vbZiChr>^8y;Z;=Jw~DhPS93Je8Zxa~
z!_szZsrz^>+5Oj%vDkX@ZC+3H4ykm!lgh9uX^j4!MmN(23K!YP=H(kHQe_ifX`3ip
zXEU2OZRUBcEgV|6g*p|sQY&sNTk~vV=hAJ|d%KO&!?rW?<aVmm*+J8Y9W48_gC6~N
z(rMdH0(0-;zp=YW-m?q8oV!^vcsFZT@8;b<yXoI}4_6lMVdUOD{P=GVtLpEi-=w`{
zU%r<Em-aI2*IvrkNatLibfzv$Cv!qNj`Vc$-b!cbyL29B-AAL6`&d|G9~+zQ<64`2
zyz0D<kKOk1zWY9&blt}}>4!AKKEfLAV?^bBG%mc4yczcK=0!T!E~ayGYdU9L>HIl8
zor2!!jPgw9^2fbQIJuV^QF|#jdM{mT>}AKhJ&fM5he7l9kkoJwUT=5PeBEy1N9<-o
z!QHGowhN!xyI5Uz7c)=q<kF0toGrYQNxOHjbKnkkf7;Fh*LHr_*v_D%+prAWM#`(L
ztXi~{#GG4+iP=Izg)MAL(_A;$O#3~XxYlwL%MWa1i`Pa9?cczaW*hjpJq=^+G@@3g
zQmu3<U0v(Ro@G6g7OcbX#acQHTFdp5YiQVL4O5a=6P{}|k@Hp&|6nDnI<Dlv#udCR
zw1N)4DV+Hunb0=Lgse*9a@Hi~PF#-PnMB@HPvp938LeI>P^WVOJJ!T=%Ojo@W8x@#
zIF|lpV(H}<Ly23_>}?oL3uhFo-b9koJCY%*BiNHMf=VOYtVws#shEp=bDd<r;-GmQ
z2Wb{NJ}+&|>}2EmYAbObR!)w!F!q?4g%!=@4lz;nX*icUhLd}}k*B$gjG7Tf=(SLW
zGz;ZfVhD9TLTEK5m_pZrNN*WL)761E^96FwFM#_OmhyA$5<Eiu`7wGi@7gTlRYgBO
zX7i=QKMNRhb3S(t&m(-}Tox{y!#3M&2%JT=1v8m9V+M66PiOdqX=I-;m1dKs@NwE?
z+RvLr-K7&bV41+j`0?D^;Dhgxaa_MWmJc7sa5vu=Ty;lNrq3us7L4S4(g?nu9ZrF-
z!zfW>7)3`6B~R24GF=+X*Ia}7+;tEc9Rn$OV*nk?4!|_IKhO3`2juR@&(VE3nBIrA
zMf<RCUT=Qf>cw=gUKCo>lfMh}<aa<1y8hdp>l3?^@VFZ*hIix5{jT_p>`M2iU6?Sv
z3unK1GvDmZ^fKOT+uoUW-8)m^RVR9xJ8_|QCt+hp_AKd0)mj~SalZrKogEn2xdTNq
zcc9FX_ACf$PsL8{@yyqr>37?aXMH<<__d=&uXdcO){Ye(?Ku0SEryeA`IXj|>``qQ
z8rYUkGuv`wY+Jq!Zp+xdZOPlKEnj=KrGl=*^<8z{%d9em1KKh;qAgd}x5f8ZTY5ff
zOYaQrSX{9k7roojeoi~?C$+<UsU71owWnvZ_Vk+7o^c!76aJ<>d+T)I-#Hy<w7&xj
zvUMcAe@DKo=}4XL9U0uG6LU9oVsVbnOq-;!pYP1K`rg>%z4?}<3oYh$p^N6J%HXb?
zzSNc4-reYVq8l~ZcW3X3?tJm?!Q;z4m@%X$iO+g6eqJw*XYI|l_}<j4--qgF^=^Fn
zl9ah0xmNY#X~+Ilebb-w5d*m3HIPcL268rb5b557`TNIUhHV={#>qpuQE?bo9uDK5
z#NkvKF@jm1BRT!oNGhd`V#%D*T=W`4o}6Q8s5RAm-8hQ*`Eb1Zc$!z7!1Qku7<z3Y
zUp7vnm3cDdCQc!?(^QhGO`~S6=`?yfoh{dA5VLP44_D42Kx=yD!a1xNH<#jl=5e6)
zd@S`A;9Gtn{)K$8W%VQJn;+}nE+XaWV*Ky>)A0Hd_MBfz#<2lpeiXp);eq717f7bT
zLA1LS#L51_gkBG3ao-SDT@B$&?@(r62_;YOFpgdh!`jQp_{&DTdxcZ)ayW&1nRs`}
z#KE3s7F;q@w5Nrrix&RrZl&Y}D}}q+xN+9TAa6U-r|g(IIH+;V!Q9qPMjdeSqPdH#
zyIkz3@8<OeH>;~ga6csibE!zyMMhFDPZXs?qwx6=MV2|y{P!Z71|wqFel>>K9b=ia
zHx_rzIG!(yV@#fSelCt@>+5)Y2Pe?uWCArCEF(waGM;2jWc!RnX5UJrv|%}^E0<F&
zdlJK^Br*SjKI<ft+n&slH_2@BP9b`A3iUIrz;Eyhrfyw9rtB+eGJGW-TURn6^D2h+
zTgBa#t9bl=6_X9CnQdCl$E&M(U2+ZmMz5jfnl(&)xrRbD*HU`QT0+*ZrPH&uj48j4
zD?`@da<3!#^g6!%SVv;r^@NUE&sN8J${bkF=@;wSTric(EmEmII+Z=4sVrKT%B(Y~
z#J))7ZI(3Vl~1F3%QSNIO{2&pak_sRn;dDhNKWJ3rZg_?OXK#*G;&@}WBjc&VMiK?
zkJ9k{GmSvmE?t-SBaJlOo31irPNiYmpT^V8X)H`hqrEGQE=$v}Ni*adkj7O*8h0wE
zQ8iZ@2meVW<#H<5wxlx9kxKoksf_KE%6rdL9)4L*y-VwPv2s1R7OW?+^LkbkUr*WR
z>nO5g9hRl*2=!h^wu0*@dS@-Wm#^iYF>5(oc`Xf|ufcom8gh<bgI~opEPuF~#qt+R
z^jnQz?$xY1wu(gGRZOX~ib8*`Bq4Go*~N9E{#(KN)hl?}cLkL*u3+rO6jBGJ@H<lq
z6E`IDx?eK(A4v>cnM5~l@!vnox$a)h>?X_Ue<zXPMTulAlgP~j%g8=r8Hqm=NLZFY
zj+P0$xgAf}`SH{&6i>wFI80sRDD*s*ra`fMFCB}|?id#Jj-l=AXpV$L^Q%lWzjsA(
zre_pmUqo^>Ad=E0BI&p_f`Q%<^n2{4t*@JE1>EFZ@8WH17x!*ExiQnp<Lpkdq&Vo<
z+(GIUJ546rd7H`3-2@vy8rc|f(aP5eRvu)ul6RQ}TN4YTub8n<HB%zHnXIc!3~6oB
zdkv?vUpTLeg_CWUk>q|x(*F$;7KahkFpOr`LkXA{%J5>LT-zJMvtc2`X9(fnRl$7p
z4kqPo5Wk{=$m12nwZ8)CV++L5BoM3cqMIdvYfS>^d~zwlo=X|AcnJ^g_>-f#KTqQp
zv+&0vPL5i{jgx+))$yZStS<*L`{FTcA(b92pknU@WH~;cOU>pJx_KTotIgxYin$Cb
zH<#y$bC_Rt4mnb0v$FDR`2n*u?pYi;G?RpGGqK&9LHyJiocKMR0#VZmtTmltC#P|9
z^fV6tp33c{sg!FwmDp!f=wO>d^(Iqj|9CQS_Q}*ROy<kmNn}|yi9SOn@u=V=wqBUX
zN%KTJyG-P8u8FL@G=ZB@6X-Ew0{N;>pyYq!nR#M71!BhYbMkl^w;9jg65}y_^kMZC
zAM$MV;fULZ!}EQ}HQa}k4n73c^I>BdA1dVW;nA;gJo_+?hA+o)>hU;I?vLZ}opDr<
zow_@YjSt3Ye#g=D?{VDuJdRx+K3pi|Lz&7xtZe4Ph#o$48}GxE03Y@)^P$l`AMW1s
zVf`;3mRB6l?k?l`FlRj7lE!oN{CN8O7|++*6WBR=0>Lp87^(4e$}y2<9VSvYcp}w~
zO{9F5Nfh;-q?pVkp5L6re$UA)ojRG?>61B{V+t*XPQkrt3MVp8<?@iJY~DVV;d!TV
zYw|RTpP5GK>eG2>p3bm;rsL>4gSqK5$Wn18*k)4t>r7(D&tlV!Sq$zto5(%08B$C9
zlro1o#pkl$IhRE_=dmGl9-TAIr)$7`HvgW_^ne8fXIjXM(1pb0^u^-TnknW-wPZg|
zR$qi`$0CATFDClJVvY^<$K$m>eHSeuHTP07B`u|9i2!<v&t7c|;LDc)7PJp!j5Cnk
z_XC+-JqYJ~t>xoEJSz}Pu~ES!ZVG1Z&tT%Zg^+z&2nSz>u&ZS#|5!p9eLs}kwZnMr
zAIA5K+AE$$mMgAW{g{y(g~Lf2A5QR|aQt(cFby-Ya+8VE8O;3K$4vRvW_o-!Gv8Yr
zm|$V;-xk(kCDLVO!V@cH8r#?&W~0(=8&j*>3HP%z=bW7yr5&uB>fqIW2d{HGSvSl{
znGH@leAj0e7b&qWE<AIQ*vL(uAU7p0xj9%Wg3l8oII=y0V!tE!?|+(HeA)UzBrB^%
z5im1~YkQ)I%@ED`PSH%UM>FesH1|rxuv+|ienkx3p2bkUdMur%#By*$EKC26CA@YV
zH>bwolNLvVmvOYHA}$>h&)<phxP^s21rr$8H33U-0=Lo===eT?8&#GOICL4E9LuP5
zbQwiIE~8ZCMC$cVq)$j9OSdJm^I;<Ib1kQS)8)(=y_}uq<$T(<oO*Yc<C7r?cjY8@
z3Y#xXP2#paiR+t_ICLqA*ng53kvp0E)sxxKKAHL>lSy2d%sXc?)z>A{QGRi!Ysu7n
zp3H}@$;9VMp<?M2Y&BE3)jWlaol?lvH-(SGQ`kR2vBsGxyj+k%k0mKY1gEgun8H4D
z3Q5)!#@SNHDRWs;_#U1@=g<@u2B<E-6vF4EFlkB(4aTJKWMB$Qx~1UJI)w!dQn+0)
zg=&R$KXVF+?~^(4AeleUCi8h`GFg(7$!AKY=&WQ)4@#zzA(^@rlWCnTnZd7;SbRQ-
zw2eu;v?bAeS`vv}lPFd_iPS7f41T<vD*KmHBzig3W-MoPr{x?kyPSTX5-D^pQFSL$
zYi=UePKi`2nMme0%kUJ31=*HSd-yUc)>_8IZwX{Loxnel2{ay^!0lQI-1{6)+oSR1
zx5m@Ce?0$`i6`r`I3hO25jR)y)|PRU$r#6qld){F#L_|M1CtBKQvP-f(-UIor}cBo
zGlp+}MsswP^w{`l#lfN}{vwL#b&7LLjAC!KD8`HbZmf+Y$An0-R*B^DUlB}R8Nuz*
z5tQ|efCp|^=BB*PBwiMC6Mw@+^9UEGd%5VE*Tu<mPFk6qZ0+cznun8BM;ugN>L9(9
zgQ4H-ihbF+GtbU}hIS6VxAAbZjf&H4*lX$YwUwvqt=yVu<wsR31D{)Xy~e`+@fOZk
zu}F`Y*}2wC<U}(EtD9-^+Qjb-CQ8jPVXJRq(8q9=?heOeQ8=#*;WW$~&Y!1@e6t$y
z?_*?oaU&NWgpsm3j2BbG6tfNE;g3+<Cqg-94`uG4P}WumW#r!>B<=}eTu2BzdxhXG
z6T+`o!F<~jOt>+av;o14trE=k|AJU{Dv0uNLA0F`L?%NJV+sT@_Guv5(*x=42vjUE
zkXtPSDOM<ujIRTTITpa(WdWR<AHbB}0qn08z@h8`yga*<{h>?w+GZ&$elKC~!6md_
zx`gI!maxWS3E^k_dF=3K`#^twd-`+o^<r}FS<Ly+#pLO~m`jxxQ|QYg?wnIBJY^9d
z7U<lm*CIS?EFv(=A}0Uo$GyXT+z>tw3i89p$B!T0ew3-_#~I;vhKzn3dF@M{+rIpD
z!k3OaeQB`9m-W&Dsa9Va2l?Xd>&vrQzT}$f%bp3o{5{T>bz^;bDckJh%h!p%oSNoK
zvAMpySmaBKP?Z%g3|Zz&l~iA*?e(S3SzjjJm%snc7qa+qx0D~x8>&Cu{pd5%j}0My
z%v#|`@)19ps?QBQ77<Z(5&gO?V(#okypLPNnWKyN`eqRU#TPTA!(zhbEGEOs#hkph
zn44MrsV!Y|dYV70R{C@3u0KT!X%4$BVXAQnKF5||&#;syhNX;IvXtzHmNGFz0DqJZ
z;8D8(W-7jDF$GXpyfoxW0J;7PpmnK0KDQ2}?u0;|N>>%%8ORCo)N79*VQ&!e1A-_Q
z5JZvGApEWe(d~B-rW(Q2)jDYv6wD@ZSJ1s+c4rTvOOp_qj|(Bl9YVz;A)1E}#+D1^
zSC3F$ED5FTX2mfdhB7{X7<1c%abk8D16PGn?PeH_vm065!pQfjMm8rIiN0!NW0r6}
zGz(|U)NsBhg_C|QoWyJ<R<ty6Qv2e6`f}856IXMa8QjLqhk0faQqA;vXr^#s3lBP5
z*yL{^aGQnx+HX}$TluIn$n;Pv3(~Drdu!!vMH@p0*|=@B!4Vs_Pc{yT3$G2gbIN5W
z_Jo~wU+tW%<)G{+2i_45+Mjfg=c|JiHJ$t(?xdpANv@+#cKqw4bY&N<2e>F}ln=Sv
z#qZ}XehN!AbaInpft!MB+#J8|rcCAtO4W~G|A+{FTI6Hyksf~<!PEkg6!#K$PK=~(
zL?lrMA~8RYBzJ)*O0<Y#^Oz{knWLDxEehwIC>o1T2Um&adspGztY|hzMRQ<pG;RJ+
zd@O^wwL%Pm?PIv$6N51<hK*}t@H!bo)2A`SW{zc4dBuDUv6LPfOWp;sjCRLTXk#pu
zPRWmb6swqVEP(~$$WT3w+r*K5Kpc)KangWsBu2(jaa|lg(&MOhA&xZ<;+Xd~j;P;p
zWXTuLapCyYn(@?a9?#tly6zoMvElKopAb*@ta!Hj$&U$+=dI4we!Jos8XHfh<?(!4
z5l^GF@f=ExCwgN%>6_!Ju{ECOviCA?*;{@0ME9!bjChaA#;=U$yq@hD7f+=K`AFiD
z6Cv`E<bUs)6HlGV^2JBSQ&Ieq;w=r~6;E2dc$!s=r$Ui<CTA7@e2$~o^Ej5?jKljx
z91FI`kuxO@4|^Qr{o<%UK8^{!^<67*Qk6Io^2K5O63aWy)9KT(6x|Zb{peUq`Nwi&
zOf0!O$8xk*EMM}+vgKn8Z*Ik~DLsZS%cOUf#87Kg3?<v>J?PAPZN?b7JdP&#a5Vjr
zqB-av&GDhpOlls@rlQeA{Tqen<tX}Wh@y6Q6x+u}@yrm#=@L;4{TRuLi;*O)i=<yr
zq@Ii9U86|u<%z`jOj_(<1T|wK#Mu$N?HEB&*$Dpn<fhmKt;1D1fA@2<vA3I+)fDge
zr8D{KE{dhOs2J#?$UyyF%f;4AF6}iZzcxCt20O_!*hz35C+{;m8Fa_NzD*8FhdA&b
z?BJ2&t(`m^?7U;A)@C~!L+rF1B5tfJjhV$xmwPtKZ?%zMxd6q7+i2C$hJOwl4<1@|
zrfVgu&B~RrR*tu@@~D87sxK`h9JXMHwNP-Tg%aA={XH$5`eJ65{LTK_^YenuTpea+
zdJ{8U^P8FS%EYDPCVZ1jO!hOes=tZq;?Zxp<&VA$$9N)~jw`|$v^1Op!@^n6BAoEz
z;k^IP$o3mXF7HrGDbh%}xkmcQUwzrg$ipH=ntcxA<Lxkt><eRAVi@LtFdmH!BdJpu
zr)!2WT-Y|^Qz+-}hO+)}D4*7Zveg#KgSnyj4-3W7K9s_>L&;lIe=AR7%uDJ0YazG}
zhH!s<2+2_)JO~USdU^<_hlWVI>$|2QbgUA>q#_~Y$Pz-;Pr)2}8q9;6!7Mx-j4M5u
z8XJRYmmJI=5y5;GkGmHOn`Z^nZ9*_ph6j_opD?>?FxT4#^Sy=6l^O<fxmGYs#Pypz
zgBevSn5d#EUr_P3yuq~26^ws&VSHA_-aLXaWDX`UQ!pK5W?4`D9jWgJ>;7_;8>8~8
z_1t(pzgqQ-QGLr)Z(r3Prgj>sy%B0RliK&}63m`H!5UvMy?taebnP3=&X8b=JA-+f
z5KN18!F=7JaUBij!lhsy{UKfQCYS-=#WguY2rU`H;Tj=~ZyCY@`Ar{&hj2sZ=$=6#
zT#XFj)mq)#r+K>+Lim#qYJJfed!A4trGW-0o<C2V^mbe*#}|e2!5xZkYA6GbhGNls
zEA+2?uUujB8N!G&gfV`Q;uPYlSJp6=uhn}$8pe}9!kG0nj1F28!|NN_+ug{3$wnF(
zjr3k+B<+ZiHV=&y_-UkMsc?oi59jJY`DycY9Tm=$9pR*j&r19o&W?g6{2FMT_A#j)
z6NlX<DsDHCdd)<ikJ5le%w*EK&N|Rc<%MQO#F^QguGr>%Gwz@A^U7H`+FJQFV=OcX
zvG8-Xg=?oQY}3Ap%Vj03w)n26l_|5dzap&k+i9i4Eh`PaDkfUW#<x~Bu8gp;Jix|?
z7221_<rhA+(LS4<qt&#ByVwbsVrReA&V!A1o?f(b`K_I0`NfCz9bE72pw(;#OWh8Z
zZFAth>R`kN2fqtAnOon<zFtnQ&2W-#cQRf0@sD(L^H)x~XIHL76&L5)xo9xj#jqtV
zIw!dJB;Fh?46?j)F)Oz?Q@Av(otr?N?Q~PD>OzE@%$wZ2IpxNv_|>&<ZY~vyz^_&W
zSKCK$Ygh!vxe+`Tul}_n0>@rmUy9(4_;ud*2zKU=B(`!SWm-hiu7~`AF_Fxe7s;IP
zND3!J(r05NwGKrprWnbV$B_*F5J^I&DCQN6;(7Tf-qnl3L6qX;QP_t@>5M;$2lJvB
z7ZioRJ&Nk_QA}7JMUyR2#H2@IIvz!?i&2!l6~&Q<QG9$J#jdweWd9t+%b&_0@rY(n
z&S;+IizZ`{Xf~A4wc>Ug%SV&Bax^dG%M7cbbJ|+bysaHgzPjQE*-zOyS#?>lI^qc3
zU!`*Gt3@+U&o!$Mjje1nb4y0^kLvxNKbmE^qPdbKnuOm`eE$-~d*xjDzltK|&nSl7
zjbh7{C=yRcQRz^WbaE7#)AW6^cqdAHV~V2qk|<uy(sw>l%owC{U87j+6~)53(kGgm
zk(#4!nWK38ZzSdZlAm>5bA2q5o7*Bek|JH>6jv?Ld`^v|!w_9}ie$UE%C~$ZpTt+y
zzC}=2oVE8#1SJnd&~#k{1tKCy^^YL)MEPlbBKY1if@PKUcfJVfeQ{G+Yv9Qlw=|KP
zBk{UcOyc@vH&J~Q*KFa&Uf#{=>~3zobt#|B#o`0vwN)-mW*2v7y2v4pE9RxRe?=F!
zwI*%<$iKVpWc^+z1(Tfkgg99_$;pKtPM$V&@}{_xzkWKn_@~YlPl@w3IOyPVkY&Du
zgF_t5((3T6<lsVf2MhnUQ}L?y%P#Gq1Uroa?D8$di8_CnU&l`8LUt;DQBK?+HnJSG
zk!!8EQCie{mW_}BHl4-VXjWePF{_P^Z>;=#Mf!EOmBd6@u$6t2tbEbl9?-<fP3c?T
z%vM^zvQX=a1@>6Pe-`eCS(r54Liqs}vKTBBmA~0PuZ3g(nHepuT<^4*23yTch&OXt
zJUV@vnYO~39@5nAnr8A9HFHuirQPyL|GH_S$59iXHk!B_XX00=i7~>gY|3l;yQ_&J
z%}oSUF;Ta$i3*ua41E{Qod@A8zYtF9{&1b!g%h73U)B=NCi${erR`sff4_APr$6ER
ztS8N1A)H1<!a1HToE6`UT>9Hcx5q|`i<cXnF_Ln?$jEK-dDqJ4U1lV}Z6qYz$h{>-
zLgyI?k`HlJ`Bn3V8kySH$nLJf=Jw)qFC(rdMrzkHQnrSXag~hxE^Fj%3DqkcznI_1
zf!szi<}ebU#YlK2Bj<jHG4^K|y}pOx7T#C?BJP(4=>MPi;8PgaWchWSA`8>^2X(*8
zH<kMl#?W8#!7~`ym08*$tC7Juja1HSq-{YXTZ*dxrR4J{o_Dvh5o1jw!Qzn%O^wRq
zG}5Jm?sbztr2e1OIPPmaUK-a+>5+&2>c4nqjnl~dcq4Z4&EK1hxc4d+a9n=VB_kE?
zsorNsZhkOQ__vYBT$*3$n*o)>iD?i{vDV?-(41c$8cz1f;VfPlPEDiE&!WS1t{skB
z{8agPIB&&KZ=dK|@dt;8iP}Z<&MTY9(9}f3&L*M<o2WL$#LLAdZrM$|Pd3q1+_m<E
zi8k`hGHcEJ{Zr3KlQpVj#?jPF-mc;=<-*OLZDv52d^fGTMVrj*J8GubEtPpKPRn57
zf_ykvbqmw9W=Hn5Fn*$iAo+7!-4;Hqwb1^6g*8_#6nkMI`lp2og|s)SSs7-qlD(gm
z{n{G~ms)8NWhGOZm5Yb9XKq@Vu6@)xlZ}GKZ9J)MV_Q4v&%xrm8QO!PHV((zn6t%3
z*^}}GrB(YYmh&j9oe`z&T&!=WZYS;KVRjDBvhz=va{QJl_OsPahLd*g-L;b>ZtN=k
z`=Gdkfwdj%Xyf2he+MNdJ1DorL00kPh1Cw`>~-+@yo14y9K`(VU`tlTlu9_6Rm({+
zoJ93@@@lM;BJ*Y8PF}`2aiuxQt#isj7oE(1=w#eGC*?D`*jT_twhAuge!8g8*2UxA
zE~bc64-4NOEOl|h?qY7Di`UZi)s-Jn`?QPCif@HIadAgH`|hWBIH#M5@>Ne)RQ#*1
zn{zGQOqbt!ML7C#xSN|3-7J`+Pk%T68r@uUxf!3}CS5+nxs7gOce(LA<Yt_Bd8}f>
zWp24~DW-PlshhQL+<5;h|3W!P>A&6b10u+mD}tW+Bj{8lf-fZ^7%jgfxIzTOtH@8O
z9zpZk5wxr)|D{0$lNv`5*))O$%_Ar%{P$@U!A!3R8W|$kB6}*kDqASKrSISB{t=by
z)*=E|vk06`BJge$!2$W)uj@o`qo(viwFvH2Qrn9CT`3*GgyIpTOGli|8$oOi<&t<r
zFyogSUvW&^4;tfZH$^lSPmSr#O*eiT<2jA>p~k#xx0~LZ-E5VAe=|`$6zOKR#m%cg
zH#HWzX)s-yWt^MkgZ0_dO~dwX>NI!rskR$a1)Vh)byF&ro07j>y!;?;Qhfc}9T#2~
zT=YHcqSba6Ust=ZD)#<Syw%X(MVA?hPwE|K?CWA>dl#NfTr8}rwNTu}p&TwYe{-_r
zwUgTSo$NoaPpz8(>95_1POjQy{!aExa}qjSdaS#Xo2{G-)7raG%1QNHT8G~pta<6+
z%xwqv#B=v|iSx8>w?#S#4|dRdwnMqB4vzM8FvZ{?m)82qQVtsCba3E{owm=VA8*((
z9JjM)o1J<ocGf!VlwD#cYO0;QL+zNwgE^Ynu~xAw2h7fj%yyc7P>#+co95R>^@BG4
z++br(f=#(4Hv0P7Fif=3bfAsa9c>KO8Aebg8wU!BJ2UGX<AasQkEM0RlR1xAIlRS+
zE!oO!r<EB2%EO&$W#=d>8G7psq>YtV^{tpISm`9}sHmKvvY#w8dnPS?%fhA87P_S?
zPMfCO-9!r!4hxBa7S7GFP;R`m^&kt)m3x;#`1H1(g{+k<bSS2nQ%(!5f0_CD-ppT5
z&3wLNrtw8H$-=j$yUl!0GxK+{nLN>EhFZ+r4lolk-^?hTn@%00e7-^d%Ue)9xPzI{
zR%VP1g^e}LRH&fO5@x~+$a0w3pV3UEZ}JyDm~aYbqyCc5`-cg`EfarUHnIP#iF5LS
z^B*!{*=wTJ4il9&n`oPAB4)LGj1&`3mzj7FYa(xyiFqy)g@oZR%_jacniS(Su`|fT
zga8x0mzbC>j6W-1da$pFatlqASs?#pzH%+*DGn!VF7uW-WqI`dVOgrmoK@L!dM<U5
zi7EajMlUsC4K(p4*hFBMi7qA+ovreL93~#h_gNTiqJ6xHcFWbL6(;ViF)<@eyt2ha
zy`4H!PFKG)rZ(c3pBm!}jWx5z++AZo@kDLBGQoQjt-qL<{@cWvtY&)Ul@BEy^QerO
z7nRMFtfO<WCT4yZ%%pZQ6WGhl(!pj{YyRI)F*8oF#Ggwv-{EEw-DXxTGjnl`nNre8
zmVIW*oRn6&tncrcb-rsRP4D`TA7<)g*BU8gp}KssD>ZcPrZe$*Z7s~`VIg>kxJ&Ei
z%WMk+mx|vk7KSLM@oSZZ-CHe$9<(swoQ2`H#dS{=xBQ^B^xMLl+~Tm3R$_E+kh!rH
z|F%}LD2^FF+)B$SR-P}kvOLVn$Ve+SR#^GDS$Uubqz%tmS#`%s#B(dgPgVl7Kl}^G
z%Gp>d-V2tt4EI*dQ+vtnV<UQwjo3gNF%BCM$|JR=*$CKcW5y}v%iOTh;)#tS;=&id
zq(^hx<yY8sUT)`hV>^EB?BwrlCvJqDBHG)*zIOf;H#UgWnWFan%1y$8eRl0BJ7<Ln
z+y1l@CZ6p0!_Ir@WMdJB_)FSZv7=)x9Q^7i4c%AgD<j35QyjdNwoVOl(8ccHQk;Wk
z!l95Y4z}-ea9r`&-OBT`+;`CWxq}<;Rqls_<>J#T`JMb(QlFKaEU)9Fb2BHG+Bj*@
zRruD=iAC5KpnUya@=w1l5MBm2xhJkI;Bw+AzRjNE<n%h_25r%EyT!wY^z2C|RW3Mr
zcg>0Ou9K{fo%DY0WcJ@qCMpKp;H%pE<)pob@LD*$PG?6kg<K2~F267BVrY4n{7-#f
zT|RDY7j5dhINQiY<z~YAmNJ8jDsBF+U);8%>gcSpI(Lok=3+n(7cY9c=q`Q_=_6l7
z*gvtKi=zE?U-m+lNAc$@vP-(2D!Z@y<z$Ujwyd7H*Gt+!bzJH$&7e99sqTL}sf`XU
z>dO~*C<o-I{GoF#T&!>EVz~PDyq<C@)z>BJvsHbcr7_el<Kl?MRJ*W?+4=NbP8XqB
zT=dVNxVN|`_>*!--a08MU%$>@PRc%zp1I}3eMS1_oD<*U;-3S`HQA;4+Uz7v^X#Mf
z{-t?e=oUYj6=zhevBo0t(Hti^r#QJd#>u=PPBQdyGSl113FU45ZtA35T_=^R$X_et
z<ar_KsGLr`Gdj8T*+I{L9Blo|!Oy!68fl#j6qk)Z;9$&l2VK`YsF38~g*YwI?4V76
z*3Uc#L$u~DE8gF1fZ`cl9XxEU_1MHg|C$b#c&e<{>sImH{@*(5`)FtPOFQcx*l}O8
zGf!*0kACA+U7YuQjh!>{`y!lnhJ=dy{OmlMZYNne+9L<)@9uW~Xrow46Fb9d>Tgdw
zPYT;f&7pd<&)WZMlfJd_?!JwSSEN;?NfY<ka7dq;R%?$+tHx@-ZVa(;UflRe=Z)3J
z*_b3fyR(OlJne1FZf@gg9UJ4tlb=dxZ|AeoCW}q)$jXIxRyI7dvh2Pv<f@fzr>)#M
zXr+*1M5CpdkEK{?9;;Za-O4zfo0ME^<=Jd2XQZu<iAS#w6yEf(V(4fk*2_vR;Zsa4
zE3GP7`CiJ(4e{!kT*4#yrI~+N@cw8a?Tv*R!nYHDSn$7Tq0c4prnq*%5n-VC_Ud-U
zdN*1)vqn6eY@t=Wh02i@>ez*w;TDpEl<)2@K3<@5!qS}6EXq9)|0<ui$q0*bJ}vy{
zXTjaeLYHoOwzGVL_7>VIMi$yieBR8$+{P9>8;G~-Sa@91!hh8))U9H{Qqe-L^1|J+
z!tK%)MwPVaY*lR*RT=psGlcEA3ktjQE54S`Lc09uXL;1FY<+I=zU*5r3%6x=WItsc
z^xYPjL1o^`j_H}bdiJX7$g8@hs?Im6+paeHsI6vdv$fiuq(1EMR6o_Hjg>77RUfO@
zv`}1qu3BI7)yTr?rWOjdw2)%3&_g^^vZDo$E*A3iu+XTFg@pqw+#O<J@JI`vG(Vdr
zS_qkDVg77=YW_AZmM<ku)5oZDXshzK+!pf3s{hhE=_@VlT(9@AS<mj2*4ZyUJ8B{O
z8O^QUSp&Vhm-j9DO^k(D#T*>(6{r7VVV^kbZB{Ey^ICBik=80B?$LTEsCBWcp|n{`
zt8m6jwyswG?qlW8AzD*oluI^Q>uZh`??sAPDz<UiVx@{WEqs}k|5i!AZB+b2>oQR5
zv&1R!+a)XGZ|hom@A^xvJ88es-xb&Nu#q#5c&dnvb7jR<Rc$2Kv*FS{2yH9=>uO^`
zKO1v(_AqC>Y=*8E+L$NqTOf_OFhaIW*V<omH;Mmt+n9J*vC%U&dR>+NluuagFYT?r
zZTzkC!c*F(35u0Y$}f#uLOF8frE_c88K69XpDpbqw3pAQeZIH9o#x`lP2=qppJ8Xg
z0&(F|I|ah!FA5(P#@dNVwzGbnoef*;r0lU{JS@LccvAVYo%^@!1U=NV($&lUk<a;`
zotZ!F9Fnj3BbS3Jg&cU56bF`fP*=bI$XVCHmBtQ&m7n0*PB}f^4odcNFkhIqf0%<e
zV-&NRB;K9j;KN)8C;c1*3ID2uN#k1_R8~xDX|#hQ2@YN+JNP2b{U_DI+072DJA|e3
zUyle!8y(f(;@~r9l`nKrbt(S);HHC3!rQSA)VIeDe4jeF`$GQj8wZ`=I_RhPaQjaV
zihYq!@y)?R#nYbtRvayplW-3wo5bC_vn%c<9G{)rNu|6_?HMQa3OF$rbaF}<|Gcn#
z;v(XNqE4cVIccM~+(nt8g#2XLDcK|0ec3*lzpR2RO=XJ7#_O3lJ-b<TtXEw|)#<Ie
z-%2z1s;w7!oU~NibJPci`r=fd=BsaQ)W;9%Yq<LC@m*Y^F>KOU?rTi%HMTbz<3;&R
zG0!yCCpr&%=wOtz$!Ymf#cw$1B@UW(!NH<44yK=wRypDzzvl7q9`TOm^`YjsN1EQ(
z8qIf#<}6Y1^;peKgoBpSKV?j6L;lx##S;4ZYR>1VzUdC0O;lZD#ZAN2=0FDp`#5Oa
zO?~L-pqu!sO$!Ir8ac>N$HBR(>c7@WGx=-x3OkscSNxdG!QzY#-hHz(_<x+H*kvxQ
zwf>LfujwrByyBSOlpj`3XX336+UdPp9Hw<Te!Xmkol)Yse$snwZPJC(e)+Vv-)fDY
zn<@P_N$Y)#;+;e76zeCB>!uiJ2gN`Q@(-KZ$x=_{s@ZXA?+lc#EUUQavs`vIdq`XU
zw9)B5@!(q<FQ3~uDBm#Vj`pVZV*hi}rN@=ScECoVT{g0Bwvl<A4UZHXxy6kowU_HD
zp4vTBJh;S0(gNjw&$Ll^vW;P5#hb(QjN+`*dfND-vyFkmhx^jS)8tp?sB2?uH5)z^
zY*Z<2<6q&)g?!>womHkvOK<#X<=|)KzrNS+niW&>7LP_fvhx0}mEkwUdBUf0XN7+!
ztZY1FWpcW>RQOe5i+odYYo0Y$Du`dbg>OMIich(%)E3VsnXFV2*Y20UI#GOERr>y$
zaPjdBEBB{Zc|E~OzH#zd#lMlmgpGr&OzSWFluw%=F76{-E!$b`c2I0sK5ka!{MBfs
zzBIS8LviAgjjTk=@2y_f%2i>qyN23P+^l~UD}#m8bL0=N^0e}%td*|9?jz#y9wn`O
zD6Vl7v$C|P$`_Fp*0uP3V?o_3pfa)}`SpzKO+M8jn<E=68z7q`i;!KH)l!*wSvftE
zE}Nn{8mg`Wsxyn~&Zjo&sx2S2xwVA2Lwzunwo*iW+Eq^DEw8z(sIgR5S@}gJs#|GR
zQ}yVqYg=8-Z38QdHO}7}Z<NN3#{a`$<-F!&b9*bRJE`AYteoy{<x?*!jru7zFi^gf
zxM=7IojZ@VGT%ozlF~WXr%E5qv@&<DVvBkgeHU99qIWYhM0JNt-&m!4T)Gz}PKr}r
z$#N?z<cHN*YvqvM^XM(=<4%>^YsGoc%9vw{KT2m+zo7cB>UVp$#B=xM<2|-ANNZ^6
zYb#scDK_y*>p^_BFoU$6^jfuC(tG)BeAYUgR7!CXPa9*Zi05i*FVwe@wW+jWEA5B>
zt>I3Ji*&b9yRWX5-(nvjEjdoVMV@41?+o$VJR8jyDUUnA#*r`^M(vRvZW~2omA59}
zZ{128v(~Gw%{DUav~ea~n)9%Ye$t=C&MRL=S~TXC;xT_{pUE#gDvdhtAML}BHZFZt
ztme1Q_I1|3GpC*I`K5Uk+nH9%&L`>H`BmieN$dJ3mU>OPw|Oh&*+>Jw?I<h|E`-XD
zJU&2JBdn-8THGkU96v?)AsksU&(0!g=;^|i0U>r8nuHy8VUt_A1u=G-DHeNQ96EQk
z;<2fAmdfvZFC9KWShZ=Nov()!Us613f;iQ5-cI6WVbgUx@wer(-nTPcSXb>YJAVoH
zT(9lak&n9ngPj)Q+I3&;WEJ1`%OIa1v+z2rgFkYJ8*_`h^2uK)C?B<m;=08h)D*5>
zDI;$1)P4E2Ln|vsLYSMQhH$)=gBikLV?7791`Yy+$z$bPG;Aj9ZSEkUr8w0~d4-Cp
z)e&wx+Nhnj@`KwuXxqWTAmRD2P7b<vRy*E`A<MROaWJ5(+LBEc=HHez>@GZ)ZIj)Q
zJ(K+<yDVETn<=X#JE^h*WY_g9vRKviP<0lTHB}qlYRg+~HdWh&)rW`bOPu=DR(-pp
zK8{phudC0^#V<CE;j+e(xv}&^Lp@Vp-`7<?Yb$4}rg*8EVuV%XgH>|yUHs!L=b)(O
z$yU<Af5pU&n!jb5$Ge)(oOvA7$|*e~Uix1?NgHuf?O%3sf4B4Svz^uAsFCmO<dGKI
z{K`%Ty|YVC?DWt(JgRqDQ=DZ|tl|C@>8Fc!VX@*9C$+YY>I_@_^)p>{X<ZcDF0R^a
z$0N<oyES&Mi_5kyS9~H~?>gE}DXp!0;<QMuwT_{7J_KmJF4kIGsP#KXx=&i}+hmp3
zI?W@Fb1HW%-(bZy#d8^Z$&c%*_Bz_>+g84!mwubuT=C9EYOAjN#F}=tS5Y4-NXwP6
zbD_BMuM4ZLe2Sms)PBe+{g~0tmmf9;d=dA^A1v}#+Vqu;yHAy~_SnYS`!)*Pwz1@z
z^yoz!BhQNCPG~<Lk^bFpquU;x?{C-dHMEysq}o`tMqIhV#un}KK5;t#kJNs5iVuYW
zMZ;~}3>J<owJ}Bb&{}+1dX9X>={8=8GyfQ`y+6jrJ>ki-A$nHaS+uW>mOX_@($&er
zoyYBL)NHL7ld$NIW;QxBwy|6I)Ub|?^cpt0N{>IUC`=N5wJu}hR|#q8qSDZX)HmVV
z1Znq?Ic<#1CT%V)@5rd<e~D9sg>}9P*Z)%<?Z3kG_u{jEtTYk#o{;_@^ISaqRKDt;
z;)+MY;|Er}gsZj0$JK7jFSu!?%XKTWgt==jTX}g=m@5p9Kd18|@pOnVIo~NO>rYte
zeO%uOr!O3_l5$x0#NYFT-SZCUdcW{}pOs7E^PIAN!u5@N#7#2mZgG`t%`Wk}?7MJ(
zzsxF|EE_26D;ptOAWM?nkd;)~X|hW)^!!0tSJn4S=1~2e)J`6?`B-*L?Qc^*Hmg7B
z>en^(@2mP*Tm7A`e(zWRi)$Q#8qeo5R{S)+92)0pjkkx!omt~QaZOx&Lv7wtf9@zB
z<erswe^}}MQ1d7r3Vx#cHJ8scr`29*+?wMHn(KO+^F+;kk^kgxeNoK(yOq5^#qk-W
zyE5C@C7zm-UECtB%AQx}W_q88^<LNO{l@D(N0wHcQSrxQX{xQ2ZJd?9dM*AcRM)2e
zSBZE@Yh|a_%ok~}wkR$sE_=~I+~sX!bvJQMFO|`Hd#QCdQtR*TaINdn${iE8O_*ro
z;}o5n&k*;_(fXdRwdSX?{x-~kHtK}xTtVyGU+cV@*87bJm5s5{I6>=ix%#I)(L;M9
zv-Zf|jry(dRvT5teGjyMqW-s!#DAHkHTRyfG5ws43YS!eG^p{W&Li$>Km4KC%47M5
zPgUOw#Z}+fsQ=E!)qhpjXPr-cx3Th<%4V{2THM$_hw^E1+Zii<{7ZUwR53fZq<y=T
z)p?0@aQVu1LZpfR6h^cVR@fTow^xnzz3^jnE8zmdJ7LO?4t6Sd+i4^29Ng2cJR<R5
zfAQ=fVTw3(><D3^c(ndF;oStaIZ0eL_5b2lh1qtl&b8yaK)PJKy5WDgCT>j+6t{|B
zSA^NgCfplq5tj=Ce>#-QCp?@HDGU@g?v54r3MX$alL<4=iF<dh5LT|TGjWaDTqj;%
zuX@rnu8nq{i;sP`*!jIxx?Z^Za)<Q6E@8QF_`@ExnXc!=)9(Ftwj2<SAJkllvyUBC
z%=n1>kfU~{9{ax>{@-!=$|vmfI%(&%%<q)?Cz~s7e<(AY5r@le%L)nm+sb@oi)BVx
zn9NT$MrM%Zm0eX?i>#UKj_Q~p`>Hw@%Kq0zU)g50nL*Z3?FXtaTh*tV>f1Z@@wfV#
zS@uJHf2A>8)L7PPO!M|i=V*NYYOE`F$`8`GpKMcKH4oo6YfdyTe{YcQqj}o1Ui`66
zT4aspP4oCb^I0H8^PZ#_VWR3vkVcBrdWaE^L`k<q*qQCpyVtvErgxN2@9JT=+6~iO
zhG=aB*}1V)ef1ajEE4}MR6X<6p15n_EX~<;&572-r%5V5L1P)G`52@4!$^&1n4LjG
zv@Qm!pZ&zKT3Z&au?t#jxw`1@PSRuT<;%4ZM;fG$T1hi$efDXhu{BiOv!3Rww%%b4
z^{J|zkCn8ZDkz3gPTH=t@?lEYX<bwruaLM_`(Rj}|3le*hxOdXkKY#}dxpwN_DI%c
z)cbrFLLu8_l)blPMzTUF%1$(pgiu1`eSXNu$jIJ%Q&wii{XFmQ^~ZgDkK=dT_kA75
z<H)7Y=RMBz^?IG-{V9yo#Y6OoMML!Ig_-l2h3E^&nZ@MJ^6&ri`Ruiyg7wYssUhT7
z+-vH{i(ozNX|R6!5xGVVJ|Y+2GdC@8ow`DP)+bN(ES?pfWsZ898gzm>MK0elf_1aB
zV7)Q<J%~IHN~Bip57vL|4c7mm2F%*Uad)tmq%QP|BzGhD9^++SYQ`bPOsg=Sp{x$p
zKdoYKHIVZzrzTNjo-Jn2$e;83F-P|0_i@Y()^Ada{C!x9dQ&H+a;(YJD{57<@yxHs
zaxK)alo8z1u>YB>FY)B{)VHMrg7r1jx*dJ_EJAPQ{M5fvJs3Bc+xvFq@2HC<x^Ui3
zTx-W*_IYR{7wVKVZ6;X5YP6MOu-?2KwXY3xgw~w%ALa=y*-LK0Ihylqhq1Y>13#nE
zl(C#Kx_lGrXJcw#BigNDus*y2>yG-Y6Y4P!sLSV&u(3|C{;@XeZ)Di<ex%l-PUDs>
z?To6(su`>Yzzvn~j@qAvWW-?y;*o+Y$U_ZY*B4>9jfNa&DPE!v$3KHkobLj>IR95{
z;(9u8UEiSg`{r=How)9*Tz@{Ea4%Q5r*qufIqvZa_xgl;{>i;t(+=%v4{yevc-rQT
zYNNKa4Q+OVwri={khU~;=D05OcYDUTjvUvOaiueDP9LPZ(+Axc^E{ZV&_9!Vu@B#e
zv5kI9qW>1rkA3OSCiH8GA;jlU+G#j3JCb%A&1;B(1LNrvVj_juI60O6n$FlagE*QM
ztXG@ExH6CR-h9qUTpjjjPk%A}w2U!pIk~YiSU(X&EQQbqYj`$5Y-X<u)@_K@vBd1*
zEx~%xZNzz0u)aTrwc<|pGj|13Ysitkj86$XUpT<^B@sX5Lhg}Zy+<m!mCpA~<ic_K
z;sl@7KFuD=8P0Q_eUS^y+b(gRSGcBYwA&5(`8NG}m$rI9+&rRPp3v{l882UQPp`?D
zcRZud<$3)F#`4d^-j`rK<{R(*5v(`;#hUXE=PbbIY6`LrGiQEJ9avk8`d@<jN^P*B
zM(E`k|0=S!qi%#(q5fL)eQHT|b!t$}5dAUr<q37>VO_@4`s}e%dyY1ymfBPIsYhd)
zQ*&DKoRS*#yfyWSdgbHD*rQPssbSI1A$pJYA^NuttQTBE^j6fk^Ibyp!PL9wT^TpK
zvp3~IeeOve?8R8rhwGp=eq+q-PMwSx!0QH5-v%?bP(L?#aeYG=>!_y|!$b6%BiJV%
z$#^h|nm(GJs~*F%qOn}hIMxxkNgdudfx0@8F^jrvHkrL+jHgbQpUQdx-KTMX7*G9v
zhq2zw4bX|29*-hETrc8~gN8GiUmygBa20Rx17@@S$4~zJ7T0hXYcLY__{1?1FcRf(
zgmd&qF6Z<^QLN-T3S$n}^_*+$ig>QMAo_6qTe+7<+*4Kb=KdCOpYhyp7We*&Huz0j
zl!PViQknLtKsyzqy?)ScPienQ+HoiC=|{WvVoa(|8^55v<N7nM_v5&I8E<>jZoT--
zC4F<6J{m<|{ie@C>ARY4A^INrvRNnEup@my|L$hos!o5err&=#aU9~{9P!Yo4f_ei
z$CH+fsVx}unh{$~=~H{=RK(KZhFn*D`mi4JtUAP?9sO&|-YD_cyE<bs@t8<lJ|sSi
zS0=VBdHz>{m@P*fmSGGo#hkAMbA{r}=Pdqboj0g3V|ziar2zLt9vmYdZvCWId?#PY
zk!s{h3v$NoBemu|H8zL3{FbqVyh<g%u8?PMo>KeCxoYHI8*;GEJ;tIt<n*mzeJ}Z$
zMV{u8ujR5C<H%i4a(F4ZoN$&gD3kg{ez!RptWU_`^Wevr-%9oS8iRHBG(Ibk!afjn
zq10h&*&)84NPVMbIPPc6+Q+!JhZ+^nIxddd7|S(MV=}ih_E2x4sXG-T8DqC{FA+S4
z3FlnYrPUj$zZ<B#)GD!-dK*e@rG8niW;_dKTwO)|2%=`MWUO7mbIaw7#{t~OQfl%N
z)~JiA-HZ6Fo<DVRA!Eb>J~KN%SU=@U?U_d{oy&2kohN1o>z8NodB2%ln-6se+6-!=
zH|r7V?D=V27dlVnUZ$|VolGsnvPryWB7cvA6ZmW{Hjd|BuyGu<AN$8rbMbHtV+QKs
z+GuJrTwsRGQLGIx8X9a+0B=XKKZmQh{NGpg|LX76_top1FcNEU0>9wMG5v8KRXLwG
zF2aH9*aUN~YYskO3fKAxzFd28?qeHTb6+<wk9$-<qk07a+`CR2{KhfbWCd;0k2b1D
zTm8Wu+AftgRD0+vY17%X?F8C*IBo4kn|smr!~OU>`e8Qxv4VctO8*>Q!u>5}Y+pvZ
zFQ-jbFg~v2dx6|@5aSa4>=MG<gg!T|A%4S%H)3JkI`$IQGZqsgOE+<T;-&c(Vww1P
zOB{72o)U;FwU;q(JN>kSF)Nm_Wfy(7oBNC>&i8U(`?#kB^5p=zbdc*yB2Es`7sT<i
zBf<Kp6von2Vj-RUF=#Ind;Q0P^|=|$cTVvBQ^b5GYrr$))j8Io=Q;ib<}erO%ge-C
zHqRHXk}KC}gBu+4CUJS2`OzKP;U4{UpT2s?eLW_go)BlxIOcQu=p`}zihh1W-@N77
z{5#qum-oMCuKJPr%_sUJkN6_*t9_%*zjIwb_<6;A=3>9tYo$gk`^)R87tYj;@Ivf$
zQbRfwVQp5FwH9@y1@&bCb>?JA#-7q4x*N4;dD#&CICbcId49H|BI6jfDX<db0(I&R
z_3F13wbX{XM-A&)jT%Zlo5_5AF|{p-8n>nv^^|%SQk!E@`{vhWZ<jhah<eze0X34^
zShNu}8)?+akS3gix>=9<nS%re=J(W7yXK5_2%x?;qt4#MoL2ucF7KoEI=7~tV*s`I
zKD?;Qx8Tu^XP#(GtzL(3=tu2NKtaavUf6<1s7YP-#9ExfCs^wtx`x5<!3u0dG-Ce~
z!`IE=sk}Z1!_Wb>@QY()BN~&?0$(^+A||2+E^;k%Q3J=hz9H&5x#l3)U>EnH)=3As
zF9*bPpEVK2eHXw4+Tk+o(Hv`NpEtCVGs0-MN3>r<OrtH6XxC4)Zxf8BtvA!=YQFQ0
zey~Ls`eY(~6GR`y(N`Jt*=_nRhd%s6UzS8=`n5)l5WRMF`luSJ@@E_V&YJI8v8P#u
zYpP6a5hsr-GUs6&J6fL4un<E5#L@&}syne|&zM$<ID13PohruXpozcP#GwcAXlKqf
z5ufLXQ?;Ktk(g~q>{<}R*NNq5VtUd~#w6mq0C9fyE6?kR`+>xN&Cld3`H=8|=N#ll
zJ94Bz4s&O6W)->9`!(}m^60?}))VB_1oF$_DQf}pO+70NAon~T@Z5qtd~}zwhP<3f
ze!ARZY$I3iT@Tjxkh{L*aJMUrCFJwROXM~Ay@fpY&Z5?k^L5C5v$LFsT40=}zEBqy
zourOXBf3&6S{x@&sT;*ioSQoGl6rC{jprfMmeVQJwxf(i)SDFQPHHm8I7B_C7M)L|
z79S*!sZV+PsfVbRKwD6^dQ-oq?_n(zPaUPEJ&5D@Xibe9N3Dz4No}R>l|ol);3{h2
z<!IUiBdLvvk&KrZxQ#z=<$f_Gf_lG&H5+z>v);qf&8&qs(Z2Y&k$c9s4b&}^M8ta9
z6lc~^FHs1wYpHwqPQBiRK`4i;P{w(9z!Hzv(0A}he>k8tKCI@xaSREF!Un8C$bVng
z^K~2cARXCwgQC2@9=bx!7b0;91vy_^_#g>i;K(&CMK)@2y|Zu;4Y-FDc!QqYTMFuO
zuNzQ|`}fCB%%)AgVIFN{Mq34;3T+n$N7^zQ6KK~WwDC@KqP^cBl=gR|A6{Yu{nCa0
z`Gq9<Y7+fcpZ<G+So(52eQHnteu0U;4x-No()SIBfqYyd9(L|$@A3f8s1Gs@CI;(e
zl9<ck;vv?K$&8nW8MBTA>%)$6F5<0ODszK0a*R0qf~UmfRmnQcL@W`fyN@#l6Stwn
zZvb&TpLm`@Tu&svN1kDBNUZlG=6ewPZsb5mazQ62+FfGL^fJfKW*of2HC`n*t}!>d
zPTbyLjK4|0-{R*8Z?o3DL%ZCi-R^N8_;R0Xen6W%WWMx>{(sCk_k=un%3AapbJXX=
z!3*X}FB#ij(O0jT1HR!p-ZIa7M;qmE{9NMiJ#zqD`M~==5}%)V-td`w&tq@o3pxCi
zzQgrz#MXC?^@DNqCu_`nuH_efhREOC>mTmrFY^POpe8M+Hn~xwET~nd;Lmv4mfH0m
z+o@yysAq+#YX>oy8mH#(ap=kz`xYyxe|FTtH1wn<KE({`V*%=9Aj(rSH^Pegxd|1i
zrNJmfU7d|r=ue$Jjs}d$A^3nE)ZaZQL@geGc>I7X^*IFBP?>tIK0C1%Stv*iZ-vna
zLpq+oocdk|?cs?T2*3tx$37gw(f=g#bw6Sejv&m%D0D+Jl*b2-eIDB}2kx-KbFO7S
zW}zMOxz-f;pfMhEAM4N&AGyaZ=zv$;x0;tUL?-Pq96xBE5ZK}%?ZyYz^>egiAKal`
zhu{(IJPh|~_W{VJ54ymhPaF_MAC<;D`s*2e*9}SZWfl0+ulML<M{J_M^XPXE#1aR;
ziHF{ZB|g5ZIKd`j<^{3S0)E8O8Dgp&2CDcX)}9e_^)Zq7+eaMc5|8$nOl<BYPTvr(
z^)QmyjU<Ne5X%+eL0m5<zK;>>--&q#j3fRd$%7l@Ln(A5H|CKe2gsEd<V;ocCVy6t
zN0NNXBd;1_I61b7T)Xs;T!bM1W|4>c$;VgZW-WM<r|L5`SIFDa=t>T+AeT>*)8=p`
zzn78cr^$B<bS3v!Qv<G13#>7mx)4u&$fHiEz1ARV#%*dxeaxYboTHvp!*ps(CN)O=
zY}IV)O*VC>34*9WZ>U9T98I7umB$=v)FTsX0VGSV6QKq*9y8N<eH!P*omA=ruB5O}
ziz`R@f8063_wn{H=Yl!bC)3_YKg8M??~-U|)WNAl)&MApq=U@mQ4B{8(DtxF_I~E!
z=zsz+B`^noD@x+}KISr*3TITn>%Gj^5rKIa1P!%N9C>?K=io9ja2Wd#ix@;98aoh=
zL>M@SJ9q~(j#CBA;ep8r!9m=_U#PL9KbGMz-k>JeJOFEP8D+Sqo>+_9u;rd7LbZW8
zZP5?AkdI!p({2=^?S{fYHQIC`p2CfGJ_u{teHlJM^+z^3&_74enEu+1s`TFml&3#e
zqcr^+f->}V7%I{C5wIf`_Mj!PVM15p<QB#dH(#)fII2WE#leyIx`a{0+E0WMdku)e
z;}}Ft=3zDQ+3-AZjS*S26SiL9y%%X)%)LarUS^EJfNXLRo3AhiUS*E}^RE%h*U3|i
zxWQcOCjEvkw`gCix=p^{p=~k!F84>yC86(q&X08uxR-~F%kU;g%RMG9(ftYUM*w+T
z>ltl}0p#{41ifJGN6x3C&nw~!e$;~U)Pz{HeaoB@p6`ea_~sDDxwJ2A-_w3*`GNPN
z!$;=Y=>CaoMDNe!4|?U%cIf(rwt@3k+5k<z5r?SqojqUVW5N$&3>|(Fx3J8oUGNwk
ze{oGH@|%9Zaa8?7{vr#ufB7>qQJGpg8fyPHA04Q#D{&F!sJXonii;>l9d3`gNWf#1
zr$)PA3N|AHuTh%%-3+}k9U<6_4BSR8%&7I{VT&ec4IQp<L)ZVPKdZk}-&3zquT}4<
zfI|4lvF;-i2e1+IF%-_IfnQwHO&q{-c%c~z;VSnLjVWl0f;h|lu0|hN;yUfI4!uwc
znY7hH{DZf&V<dW^AP&;TLs0^UY5SoliUj(k55Cby;c&!V`feU7BZ>a>z$^N95v*{4
zes{%f;$RZ~5ErXa0|~^6hV#VE06Zg>rs4;&wFD)xj(D>{4DnYV3B+Ry93eg(A&FHN
zoFH~xahh1}j5EY`7n~u^yWk9Q-x;UL16Q0RCpzFbIijmvA!i(sLjJTyGWpa32gxr7
z?0-m3V&4Pm5BA>YEB4;wEB4*x`#5lidWu80ISx{9F?J&3Cg(@i4e|xIuQTt&t83&q
zeqLq0fil=~h4BW5vYEdk`!Y2UpDytlRK}i*<QHyGcP7Ie+p^e)#ntn)BT6Fv95ofM
zsarv?$CWdTZK#gZnY<QOI7PklMonBkMIWLCUY?|mq7O>oB=vG39PuNA9EaNXa>U=`
zd>=vRgKBt1%}vHq^hI6#FtG-~4$Mb?G(%~;le7~O5Q<swf-9QB8b$HdU=D*@$ii_P
z#R0@47TXc?-`Aad-Hik!L*fjs;W0j-0LLwlx^P5qOu$k^A{}?|6E<9{zzD3se%yo^
z_tzK$u^ejM^b%IIMK>(M5#*vCZ8jVcxQ)uRX@6|MO<2?3L$DpM;Xr@P!EuzJpZX&P
z@1fC$t8foZ=-Y)*eO;G6_eD0;+-f0i!h!e*#51V**A{$7KVm5f<%zH9$VM|_E)1X1
zk61hcYhrT&9>bM*-Hp=3?+o0APF(Lq3F6!vD(0Pu{asLdD6{YYoyd;_R3cye@B$v>
z&|y?3rvi|R{^XfNo%`G;K4Z`W+5+_+vd4?h82E_S!R|5rf_LcognL4zr?emL!0{RF
zj$iP6&OQsQU+{h0K#P~uD!fIfSInvK6MbHje<=8db74OUzomv@5B{L%JLX^b2<IH;
zCAf=vxwHk+Vg8;m6zgyYH9jz>M=V~U!AI8kh{FrmeIgdH3E3$2nPX!X_TT}^=1~tZ
z9Z|S|AE^C>HpMJ##R<GZiLb;8JfPMWL5RaiJis@U`9_<g9Xv1`-dK!KY(qSfA#oZP
za0NGT8+ZS6hp)GA4VQ2h8A!o?sCmLB1i}{+F$kT}0@Y!G4_wzx7>Gdt#={*AQ4BA+
zzmtf9FZ!Y}3gI?wqQ;-a=m)i)`cC_u!A6WmbNr#5&q95E#1pmgj=o63TnH4zDf(+U
z+)y0n=+Bkt4AsvW^tT_>KI9kTU_ZvA7VZ!uVQ@nM943Ay!4_)W76^fl#M}<_hXqoI
z#R;&%d1BNTjc|w9U5Pe$NldSY8tXn1=aJ}+pTz$z^o1D`$c@3UfExQopbXN<qw%PO
z6Xe!3RKq!PZZ>K|eSXFt_P9rW2BIz0I&mX9;VZcui~cBzqvZH_*x&-WzYxvw{3df{
zbVorPxj|gQ4tK5-Z*YSdQm?UR2YbA}O0B_gRL8w5%uz59R=Azb|HBhC@Z>VrgNbN{
zZ<mN&1fU13@a!V}1YdMPB|N`C`yc=V&<JY&e-&}?Lq9Y@5j;9iUBO29pf{SK96p^R
z4{!uq;Eyrrj#j7+3w%Dyz8A8Pig;{6F#O?z@feE!@IYs{zzJ>83N6t5KkCow@6`9y
zYt(Did(?Z?G1RftG1alvIn=q-In}w<HJrzNd_ZBY(F#q`2}3X&q1cNvc#cBcvn`x4
z42!TGY8~|krD?Ag7zlr;_PmTAu%n$lFc&*<1qJ92dw3xj269o8zUz%;NI?#2(Z~NH
z7$=dB7R13s?7)3gCQf=`6*5tXIMSi^_>bZXS`ce$zP2B^XhIxL!d|>XW8!oY_8}Kd
ziQ#EDh|g$6jL$|2@}Uv`3y}eH@}diZa1rImo4)_$&>g;3Bd3O8J6@mx`8Ej&_<-i*
zq7M$^JKB+_zDUP!2y)mDYHa)iL4Ge#IgWg^CHH5m{KqFWr7lcD9G;;Dbz>0L;}VKd
zQ`*B9>UY1rMJ;O1K&-|o{6te~(nxH;S>&S$HERe$Ad!Qruc_ad4OQnZBOi6&FrH#A
zqHz`<Q0XnPi{V&?IH)yj4obfxHsFED2tpiA;t}#;nZs+)2}7Vh8xe#k96~1U;2nOW
zR4&(uhG+v<^nxeGU@GRoAIlMpFsL<jIJP1ZQU6hY-i8Ql#(JzlAeLeQ)X&GL&pwU7
z0Ca~7TB0thK&{h%aDA_E6Q_`fZ3u+Auc7FIX0U>K7WR@hxPU}#z&v<Chb;=?DQ&6N
zRxwzFp-^pZg)j6$HuhpUhNB%S;4S@j0^yjB&Zve@^m8V*U@AJG64cM=r6CwY;Q%va
z6F<?I4ri3X1LABSRNT3tGM*8S2jPdVr~(zU2QVL9P!SJ_>v+tBGfF@`Pl(1Ov_?T(
zAU`%jeIBh5zK}mAtVADF$7^!z5EjB6mUu)S?t$7XbwNqoB3E}{8k}H(Yvgk@roa&v
zxIxbEfH#~`1`ntU`>+7rQ4P7&4HMR21X`j9Zc|_O!XJH6AHS(VR}cq3^n<EVg`u8d
z9zrn2z!}!~LS4(oKB&*=jfL9FwL?KXrVbuQG!|nNIzc_tDTxo%PW2i0R74>FlhF?v
z>Y^-uQgfdp8wTRB5zF9%k?4btXoY%EYmQPd!&hqfTRg@sTtX&}Aq7cDz;5hB3?i`=
z5!mt{^=I{W>U-)n>b2@U>b>e1>R9TS>e%WW>Rjra>fGuY)U~K<vO-<7gj%=v!Z1w3
zB7{MWHHUE)YRvhFBD94KnxQj>U?zgG6B0M^5hZBfx^RIP=3)bqkd5~!O&>KucT7ew
z5^xD0QGq^g1@-$`e6bA~c!A=?MN{;}Ttwm&-l9D5)E2|A9Q$z-e^HP4>w!6l#yNaO
zRpPZ1rXd_Bk&7zCc6&_1Mr0rdRmg)5P<gQ#C-ENE<cup+4sF3{d_-09t24Z@6=$H<
zh1JQ$F7QSKPU8ct$=i;Yf{i$a*C<bpJ7N@8;SlbjFtwl&dSfo4a2je&S)SU_23}Z<
zT{w^Ts6ef0jX_v|C}cp@By(z0U3A7+EXOXK#&Z;+p4oz5uKs_oOXu=c&EXFs3u;bp
zMjf<4D|lcm7Gfh3pvK<2_=qCZQ5&dnxC8oQJk)wY)!S{@4-+oo0dk<m>0<xYXFI+&
zMLW2n2L@sUCSnGBu^20{8tV~`ZHU26#33Ggu@4FV59<Hb->dKM!Vai4cLX*f466`;
zg_whB7>A+gk8Ws>)@Y2HsEDHY$^E>8x<7TF$8ZqQ2!%hU!V6u|26a##e`v=yxQ=7k
zgY{5tJ`TOm4r=~W9BR+~HjZHzf-wUFAz%j!yraJ_;}AAt9=zZTwTE9AFNm2l*o{C;
zL^m`+DdZ4u>UsD+1Y;7qLOsVThF8RDCStJ+BjJJ?_)U!8MGDk-Hxqr(3}ui*Zk)$%
zEXQbcfGz%#Pxq0A%~0#XerSPmcuyW)fEo{1Vk}%?2Qxe(e@)ni1@MF;RIdLd=hd7y
z72%kNK~Q65Rs5z_Jb($&Sc1{$jD{$M57e2fID#!u^X!r6f+i@B@6@OVIEg(7!(0r5
zdLH9|Dlo$v>fAL*#9=M`FdqHjf+ny=QGB6hK1DW;VL!GZ1ZpgvieXUu!5#4r8lWo5
zLXFYismVEbf?K$VQ%FY=_Fy|AupX<i5=-ERxtNLRn1YEI2Q}W0!bptxU)0~J@2S_Q
z*Q)oZ_o`#4W2s}RW2<wlKnT`h3t|wDM5N*bvTz*_@fvyf3pLhMLM_<C5na$9qu`B2
zSOYZ<srEDB5+30r)E+@a)I}S(!wYK7wFK(t&G*2Bt9XUqC{KUZhuWL(iwW?@MyS2W
zQ@Dpblq61S!wG#c83Bld+Q-Po8x$tys-q2hLyc_#h(ao^;{!?%zjfgPPs~Ob)H8%L
zc#1!;A`e=kCnjM9)I9PS)IQ61R3wia&<*3T6j4aS4SYmNa<LxT!wYk;76~|uXHdDU
z#zysA(F5bK7!f#(%XouA)P$;N1rLmcKh$Rh4&V$P;XBm+QC(>0i-}l-jo611xP=@P
zq)t^vW2kv~UyQ?itVRsfx-=8F@fN>Pn)+7*>a%;!=!s#NhJ^^hR_s9vGI0%$kqfmC
zraoI+9@U_JM^6iAP~&qis5S3MOo9*QV=00VhRsm>YCEw92at?ZNMt~b?Prk%wRX<N
zRb0mn-27kE->L6i!xgA8;v&xD3{F8kyE2dhHGb?zJa%9kHX#&&SORt3>iX4vjKW~_
zh8uLWLL=Cs5=x)|@@S)1xQEM7pSwB?H6BGkwXr|EF$(?A32OdRA5~z1@ATIz+{9_9
z{@j7JScIuib15};slAALs0cIU5+iqU25Ns&t=EE~=47MM3o6bUz!C-UmKeN&<Jb!|
zzAeUN3_u4oL1mcXE%ALFYMrOXyR}$=vFHUy)Ik~iAYY#10*)XWL70i5aDy5LtDz`V
z9^S<%?8jy-!DI|T2dMp1D-_0ia{CTW;Q-W}Hvrxk0(bm_S}2X5)QcCmiepf<M2(xv
z;e+Am0S%2{g`!aVvd?i1Cy)p=o`zx(reipILCx1&pf)U__Hlnu_uk?@E<x>MB_j@M
z%w3Hom<{#$_F?D;cj#z^MzBR?l!iHe{a1V6@%0&0ExwM6$iy+IXRC*x>UA8pV;eSO
zJwl;=hGiuJumq~c`(ZxjL9JKRe%vg~gwOw?{!V>Qy+*xOy+^%Q9YY;U9a9}!okN{V
zol~7#U4yz7bxrEp_8|#s-%qXG)%cQytGI*5c#V(v0W;d5I4VG`q3XaMZO|Uw&>yNj
zRlCl@BB;-fY{Yi#M;bDr=0T5;gP%}+R}r>o3JqN`5MwbDOR*L)IEZ7o1U2u<#UGR=
zhSW1UdkA=72-Nz`533P{gUEo2&u938BE)TF)Q5UrpkjJ3)L5tHgR2n@_1PDd2RHE=
z`6xw>)Ic++-0253znqI8sI{QVv*Wmm=lF(V<f0AKGkgu|Gu|p+r(qGoupMe&=M-+>
zCDeXuG4fuGkqx2tR^2fO6EF{f2uD0paTd4m5?^6Xjj0GbG>0?P80v`$n1cYUMHKcS
z6`8mOHLkvc8e7%6v@EKk9-2edzb@#5As7d5%trv$U^8N{2Zvzb6fWR8?&CSs`t~z^
zLe<}*D1{2JLJibL1K6Vl)aND~p`!yj!yVnBp1<}%Km3b<P|urGy&r<17>42h2kLw3
zHR`qMJ)RhZ0q74kU+4u7sPUr<T;T!@YCLI$W>9ksHMZ13HB^CG%a=qE6o9&Kb^odz
zRC_$YO<aZ=gO1@S4j>MZ*Z?&qErl;s+mFXk^g~yub(h*>Y=T;-jFK?JSNc_rS*o9}
z<17rQ&!FtYW&~pq)H+Q)ms7FR1MQ*aWc6W#(okbs-hc6Thp!i)_B#@>0~@dcDt0Gf
z2zsJD)I6{*s-QT25&!Bl*pF}pC!wA*#33B3;0KjQBhVL}&;|`r6{S%CpUA^!Q1er@
zUz3Wx*oHM&3?Gbv8XMiALCtg3+OZOf;TLs4jgwDs9cPe+1gN^P9xI`0$#jgyKy-%-
zTA=}|qXN{v>~HGQC%nWxWFr#>lCT?*SdSnq!W>M+7<fTFv+0WVXou!#2=$p+Ym|pt
z0~Cf@$Eq>-Jzn7n?m_JZtIz+P!%3)hu3AGRLw&|*57hHiRhzdV92*dZ5U6KJE3gcU
zu@DR3i@BH$RpVzs?Ki7&ej27?3MT&_sPC!QsMo6ZsQ0R4sAH*Ps$;8jsB@`vs&lJr
zP}icaNnKkg)?+iaLd`dJVmA_ygrhK!flOrK3T{D-KhN+6AE4UrH&lD7c2(`G<~KD_
z4^7b;{6Z$ZGt@ljUkt@qsJ>HusQNMxYY~B+NWc-OIn`OH@#{Wb;v@25PTZ7%TCdrm
z30gzNSXZdetqg}6*VNDUEk-alK|RY;@tT5@xCAxtdyWrKV_gwqy&TkDXFW8B%7-rK
zgCQ6Xl`{(wi1kqGK(+UB7-}5M!c9Cu4!)z%e|c%eSM@BvDcZpmJuw(#Fdg%;9BPc*
z3YGgwkWlN$tGEv}UVcPA%&8q}zH9|MG(l^)pey>q3u7=9bFc`3Q1frK{@jTKsCB5s
zX<Wn&JirU&LXENNIcH(&UJ0l@T`SZ?J=jClNVU)Fg3jm;wcn*aGc*)x|5w%3DVPB@
zCNF?mH!MdGRzr=^YCW+9k=Tw{?1oxv>_;M!aTIDCPltN;dJGvjiPKQyyIMD^dVdb*
zk%bHYFVt()Yt?(yd(|=2vD7iuvDG=$xzst;xz#nOYdMT0sP(#<W5i<@b|4zt5RMH9
zLkI$)<|e8g{4f_jn2HG)jbRv!{^*6SaD|SxXn`iE2V1Cd$`Wd<DvAR5LH~V%T8lly
zeW-rEgfmd%*HIim9HOuZYoNw5f2bImhH)5%0Z`*w7dS)3pFPxCt|}@(jd5mB^St+X
z0Ts*Fa2^>*!2#^THmrvl_m*HDRE~^;nossecXWg!nxg?~qB7K2Xb$yrzUq0!8$8A>
zT*7G>I0Ti$F;HtpH9jtfA7)|_Mq)5jE$9k0A9h3wG=ds4ZBPLvPzb87e8yWm#a&#(
z1*m5$YG3v!4k8|^PDMbCsUcVnf6RjqreGXKK<(qIny2=y)SSK}1k@Z~?PoPbL)1Y{
z*q{>1p(NBeTo?uLi~9N<dH8^LP@gM$jwg5sHBR5g4XFBj85eLKs%B^66i(ncOi<%_
z8d8yhqfmAJFp_ZyYP?VU|46-7y+^%Q9YY;U9a9}!okN{Vol~7#U4yz7bxrEp)HSMW
zRoASpUEPDa7j;kS-qby+dsX+W?)@#^<1@ZNjX{4=i1sRq5>Vrjn$xKDRaMxcE*ilB
zYVOkxI#mC-!2^9T0A3i0@tBI4@WmpizE|VdT5Lunc47}yyc~gn6F7%#+`>b=Ko0Vt
zVz3~wsOEBIQ5n^tKHu3GDt_C+1!}D8f&TEqC`^QU?x)s#>hotRFG8Tkz6fkbJPzV0
zOi+2Ho=IGT+K*9V;cI+=S|9#_%1gCpS^?IuMSZBT@gJylqsr^9=#7CGhOw9ewFjie
zN>vvE5sFQS#7^wNL8yHr11F%y&r7(DyLb#Wj^^Mq)PB=nsPVJ}%EA)XsDavO09Dso
zpba#rxqN4IgWALDhk;OI?r@C8cudB0%*0$QfEtIFLDkhDgdh~_pq`zEV=Gh*-i}zr
zAs%~?fCEtLjYCl5_fe!meJ06(8qd{!+c6wR2Gr*aPvR8RSfBa-lX{POuR4Z0mO7?7
zwmOG8mpZ39x4MQjq~HjWk%WWTkA2vK-PnblQ1_|sSKYU|f7K4EJyg4>_EGJm+Do<D
zVl2dbs5Vt?tJ+w#wQBRxP<`M9)hDWNdZ9bq;0hOLXp5F;iiW6zny^77ltW1rMM3-~
zR@7LgVn?mpUgH@a;to`tU4|Ol)U)y9NJBFAV>h;AD>g#Ka1fSZA?9KRCPT&ja12I2
z^ne>WK;=qnG(#iQK@C_z<yR>bg&Fe6y)SqVm6K0#A8O8;jq_0Zrz($Akc55Mg=nap
z--s{-V+EE#jg_iKsQK|!Ou%Ri!(gbI(hJ?t8SSCw*KMF`klL4RfZ9-dPHHSwwMvbr
zWuV5?qEO@N-~Z~`H@>Rz^*z)W`w~x~YM>fxRXx0pE4YL#oP`>DRozt2cvKBdg{r5A
zplYjHE9^x);t-1+h(Q$8vs5)shhq~qU>(A+2CJdQ?*jZ6kdp6M+{f4H$%u5PkFS0@
zS;kh?I-GXY{#+ZRb+|HDD>`(QW}mf1Tj#JxYqKg<tNie+=Fs4_wrIjDt=RT&+Q{*R
z#GPNo#hak=BCL|NxEx_Cc2sX5N<}z`;+AbhIRC7a@uQQNKH5VhXY~^+ntJgu=27DI
z%ZZ||HbV>ynJ0X5{Dpt$QqiNu3i0?#kZ3h+wQw)7R@B_FK_s^e7sW1Z71qO}#j6iH
z#B{$nkz8!ANDSLA##kkZ%UchN_cc<*@km2-tae<?-gHv@Tkec_vi!WL{Oh9lH2I3~
zzJFb;b-yk8B;OMW)gFnMB~L}8moG%8E^kC`Y>uc|=%cvhnJ3B}`X(|h@<raDKf?Wb
z0sXRXLA|(bVLk7pxxQ*_QT?JtG5v5{aoweJNqyq8Qo4hG8GV&?Ies5ydHt(<Mg8X^
zOMUUo%KAzRE4^5_wf?I?Ro&}oHNB2&4Ss)WO+9;HEq&KxJN?YqI(n0Lb@fYA>gzk-
zH_&6JG}6z#ZLC|2wb%cB)Rf<u*i8SE)tujx+)|%>u$Aspv$ftexQ+huTU*_6n4|7^
z+DX6NK<F0yQ=O@=o%Khq?e&R~9rW&BJL)stJL%W9bk+yF>7svZ<*o<&b>-(ry6FK$
zJaogghrV}FPhF(;(uck8t^caoSO4YFPj{c&U%wpruRc3t0MF_M>ZkJu=~{VDeMW6B
zy?gT^`a#E``cmg%dc5;+y{OX&ePQ#FdY;`V-L33sedxE*dX?K___u+_>Yszg>DN8S
z>$mGo(C@#S!0#}hsC$i?q_3+qS$EEutc$Tz^zr6X^@xb6dSc^g`m*F{`ul&T>*o$k
z*K=!m>#c&l_1W*e^;K>&^ln>b=poN$=nd=m=-)hj^sFEs-T$DE{`!KC{@{_1-s+7H
zzZcF&AMwyfe{s%7ue;Yr|GwBqZ_&d?Pbll7J7><&k9*J1Eh@~=b9Q<2?+ttFc?r|?
zGc~8{kpa_K?@iT@HJPd(pE5;nv3;`s`P?M^(esJ=t<Mwm^t|!<<X7YL3m3=grd?z7
z`ZGrBxelY)a~+}EFBz`;RvxCG-8w`sQproN=|7mc>OlQKg8_Pp@%{BO;eGX_^xpc1
z%RTiIH$3$E7rW^-j=1abp<VO~UY+z{n~r+kITyX;B(_NZIPve5w9||KY^^UI(MmTr
zn(O<DIp`a@G|?Z-ZK&_sT2Hq;R9p8jZ1wpm)%A06Hu~70D*Dplmi&7{<@K_!OY6De
zCG<uv7VJM1*5yPq-QjV*NV=XUHYDeWDT`i+8*LwoNe^#|>)w~e(Y!MvWAt&c<8+Fs
zP$f}h4vH5GR>z1hhr`9^>@Xo72a2fYi^T=gOpy^iTAcFkC;VHwil|pD#qBk<#UuNQ
zV#>)vVt(ukt$OMy%{g<2HadHWW_Q$8+i<;*Hn{LorvlGbwy{6FIQ`v?g2wuK9gVWv
z7aP|sw;OTeP8jt!JvHWCHk0>E<>b0ew$f~1Gr9b)vkVLDDZ{=Gm47-<mHlV?$<-MF
z@^kADX}e{;9QQUt+SK16!+P$K4MrtO=MgDVb3Y~nZ8GJ?>lftB+1KPrv%B)X_hT7*
z?xoyikt?S)&Xem}{ggM#6)-i*FKCLmVQ%`p-NICNWC_#93Z+f$4wp4OajRfDf6>x(
zyJHp8mp#@di^A1R1-jQToe!`zc^<Sg?aHcS+J38^$?bXr)B21?re#r0Ojc8yn)=!|
zGqror+;qjSrKwKYe@r5*wW)!5ThrHZ?M%srqiIed&D6J@Fbx^Ok9hk!o4f*COaY7A
zn>tSGU`p=M(e%BhtEurbSCjYVPNp2^&Zc8`I-AOj?PB`-yo>3`ziy@>>24;QiteV$
zL)}gDx4N5VTyi(n{o-yqUb?GkYSpeL&+1)Ghbne8?fC0%8t~BF^e4&PbYg+K>AI7<
zY4}Gs)A}uLrbtIO)86bZrZ-+)Ov@j2HXRt)*|hd-C({szP9`nH)#UZGqv>taj;4w}
z9ZZD|v^PC}>SB6c#>Hgc(%JO3r*7&zMwll0Xr@KJPNpPZM^l5D?Mx-dwKXm2+s1Ub
zU29X8^*^R}c`Z$jXIq#aY;11IAJ)utxVD3-#Z!CJ`iLf`zdak9))r`Fnz5&W=~%D&
zrY)cAnresEG5I#EZIY&1rjosEO-mlsFu9DYZW@tW)l_J@jY<DtWokaDis{?4N~X9$
zmZqT>DwtYn<xTD5%bFr9mNAW*U&<8sxP)nO$Koc7off8Eg^HS{4>dRWr4%x)Dp%07
ze{2EMm)XB%;c7qS0r^!{_xdcozrUB4*1VGg>b{otDbJ<1+Y{OG<^y?R#9dkX-A&nH
z#x=R{`(^pi_k#5MeOAs{a9X~~&yX+YnB?lbH2Gu7QK`K;BxejeC=+k)ljS_(<<1ka
za#@@0^3>i)Ij?4fJi2z1Tw7$ltUfnX^7A@!jaQ)Daw$MYx-5}{#x9h5yUvmQ9Hz^e
zmJ?*-{1I}~<H7RQnZB~v!S1q4cqf^-RF@;CwUM*Dn#m&F8p<Y4cGBFws@!F3DH~TV
zE%%i!D%)EWkcBNi8N~}fGfot~VR#ikV-&VbHJ;VpYt(PI&B*V&##k|PvGKn3c;n@o
z?uOgfX2zItm5geazNFi|lIioSu1H^TyH<L9R{ym4r=E^WU)wnywO`?M%uPDAcg=I^
zTh>zBm(x@mmg=tA%^I!sE9<Xa_YBr1MTKj5cXnxAN+xSAEi<%~-j}q%vG=qP@7LPa
z8DF(7$z~$Dk%c%FQCdV<Sc>XXZA7EXwj!}neG$3HUfj!WDf(4)6nVp3#E!_$qQ|Z7
z;$iW=LTf!p^zj-diY*u;x@?#ve#Ci;LdkQ4N2;F~?zvdh8n8?Z>A6B!xCV&||AdI?
zcA>(u)H?C;(+2VF+GbHDDMEA#jubOS#)#Fec8Z`vabm!Qc=0@JpRntDK$w+F5>wA6
z3(o~d#o@+jV$w}ROkQwI#8y8c%+pSZ*}cz**U!$0&fXV<-_J|Jcfl1=KmVGTKI5iv
zd2w4T>2pumrachm)gBA0xlcu>OV5Q*jaMRg{2MW6-#bzLZLSzy>!WDZ=d+l(;EN~`
z{Y~6Aeu(U=`6BDdZ;|xouSot<K%e-@OrP?$Ap3xY^qN-+>xm|Fz5nha`k#=ZdiXR8
z-NvJs?p?3AzWP^jeZ++l`n}C1^>@Qd=}YRA*4I2Mtrv_eqo3_tR=;LmPOp$yPWKsD
zUVo8aULUx*f}Yll`NqkLx_KW<_6;occ0()a&i5<nS^X;OS!XKiP5-H)KiOJEzxKC^
z{&}#K-XzgVpH|RX-_y-n&st-xAHQg=&naS~KW=TKzaC+u`!BcA*X^{?D;hTX`wKSw
z9v&Ng=3N{8&rKUWn*Z;fZlizRZlf<*YNO|R+30l~Y;>!9Yu%96dO=@n{Z3PBz3qJ~
zz5Eg@eSoc%{`W`~{a2?dddG`gPxs1t;HgUd+i8{b#ak`)J-;jJFZ)&0o5oh)=NroN
zdv(j}<;IrNJvNr*=YY%Tn;(|uce|F-*B33NPcKtaZ&jv*{<KJOet*A(UhqLteU4E?
zf3nV8cO6w&k8M;)FZtF?Ul>zBFSFy1@cNuDemDOi%tw9|Axl1s#C0D;$c7x@vht01
zJL#oJaCs*77kw-&P4|VxxH}@L;7!qf^;Pk#)MatbFH6*Yaz@y<IVGwrIxeaihM4^>
zMT{zQSk$VUC_XtPh)NFe;;LP&m|8MMw0N^sj59WiK>_PUf7ej4_vb3HH+F^C?Y30p
zW-b&r-_8<ge<us~!lOmopM!<=q_-$*xQR(Y&Z3M*Yms7ZFB&J+7LES35%WKl6EBuo
zh>^AbXuTcYYE7Hn($>~LrCC==)P|WwY6V{eY0j&sYso#jYTL`!(bmWRcDmzo(5dlV
zH>Wl+u8!kEE~GWt<(KYkc|N^zuM$RqpAJTg#r=(yFMN%Up=*qFHrtKuA<0Jg>rCTY
z!#jrF>z(mq&>v%forRoVtekB5&`Mt1UQ2H2-$;J=+Cthbb&{)pca)(cy34@Ce)8cv
zFZsRf80lPnimY34maO(^fxLKku`H7qAlLW?$_i~l<lvW~vdPNzvS+o;GGu#%OtguT
zfy=hb7ms4)#wPJ{`ow+GJ^X<DnUW+u&mERs&!@=P^mOU5%_Qqg%aCQ8pORmnW=hkt
zbMoKH7i9dVOLAASD^j0uO^!~zAxr<fB^?^vl_xvjmnZu@lui0PmcR9<vPISBGW+EV
zc_-$T?9=^??C|ofOq`Y@<6q~>e|mqABjP_w?b9cDvq7G8?)60mjr%IIrhb!^$9|Vf
zJbuV}b$?2m+@Er8Y`*mD@k>5@^-I>6@msdd{Vlr<`XlEY`6KU}|CJH0f8~u?e`Uhv
zzp_ihUzvI6uk5k!uPn0ZuPi_FuiVt}uQV0m`)Pk<@W?-M$)DdcWz}!_Z|UDMV975z
z^<BPna?6*M!hg!T4}ZuFRes3OPT!^T_;2!}|5rIW_={}1I#2cw_$<w5e3E1OeU#gq
ze2_2lbLGHeIkK+rJ2|`YTRH36YuRnaD_N`9OKH2|xtwABOge9PA`cXMEZ_M&lvQut
zm*ZO8livdF$d6ZU$@!IUN>ktK@^Ro*Su{0U4tR1&elK)Uma35@(_5UA4cecPbKFnM
ztZpZzn_Gq~?|e+UH<PkLwRE|<P^x_N?1-#)JXtQ=lq9Vu9+XAf?w1n_?vtZ4<E7<_
zIJvoFtStL`yWDgzT6&C#ls(F9l_^KVW!#WWvW?jWxh!g}jCTr^C$5LcHxpOMc7IpO
z3#*q)quMfQw|lXy(%fH8obD^@&zmJT`c0Rw{3c0v-?8%Dj1ltJI4>DDXn?Hh)<-UD
z=^;y3bCXXCc9czD2w63=t-Q9grChkUsqF04Q1<<&j=Wf^ro8vmTJAh*DSNCcE6s+M
zkdGXS$Z`eE<cyu)jC|J|qtJ^d#+7BajD$KDjR&Vr7`w)#7#<e;jmmp=utW+sY`&~E
z?nNv!)&|cq++GYfJUezby2Z6IHkYq$WGpFTtoZ&Vz1@$j^swSP(n}4Vm2PvocKXx<
zv1yO83#UYt+U97VSHtOZ;xwn|s3@nXi)WlxJo(^sWO7NZg=bBzy;DnVTB$Bt=SzdN
zK8vPmYeE-kRR;xW6|L86TJ|<=$ig_ysdl2a&6K9O^*W^$zI{<!*Z-DgI{R32Z~j*M
zwK`7=fAU+)TUSWjY;GZLohvDBdzKT%D@!qEinTbBQ(c6Pu@g6M)e{ptHWv1~9Yn#R
zt;AWcwqo=?O&s~+BBK83B+RC{i?nDDvHyH;VdV4|r;832d#r|vu685E^4epCUTvc2
zU23X`%JUY*uFevZ;^v86K7QhY%_0%@eX$6;yi}xZ4-mhnuMnLb1I3EJL1MoQ7JKHb
z789F<iu?D%#D{=&BCOE{k$7&S5TiDWI^V-ZzkmplUV5A85*jI9mWme3m&S<7U$%>-
zLwAbw6R~2SZJcnOyIV{@7cXj9?iFI-K9Ra1K`g$oUo823K<uFozv_}C>Ww-i{+*L7
zMlU-oM9>kDz4E9ixhO^4o0cjZ2BwLxZPSHK1w({9GlWQx!fKjHlxlcP6uWm!{91Ng
zT(6fQmK@IzUwfYrRqve;FFa3*4%bf#J6Glhdryg`B~A;+;ipA#!f8?I^J$T3pDDtI
zXNvJbnL^*2DT<uT6p2?d#Xq+)#j<OeVqIpY`1fF@I1!pDE{@9-lmE#S8-AV^F3G3G
zs4=I-w^FCYr#+{Hhw~{>`20yxy4y)H=EMn6wAl&qZe4~b_x`wG#VX1K923tnOyd0)
zDI97@u}c`DZ{Kv$W>}i&KO$8e7?dL1+>VO6_D4k5Vuyvib4UclB#HQ8iK4mXK~eA6
zey%e?`2E-`zAoP*ij;~MX)EG{U4E?SK5D1va&o(<Z4)CtkBbtS`?iUs*Ae1;)h)uV
z^JbAfZlid&XuSvuTPrfdLq$sXYB4V?Skzq{ByNviDfYW97pH8OiFThB3;Q&GvFOKq
zQD@2=5p->a_|bT(NS-}GSR{`YPS1yl2n$a!tH!^gO2gjbYW?owyG<8yyHE#_^+*$S
zliCR3+d@ogYcGoD))zB2+lhis)rIAaDx&zf3c}@6DPc9!LgalYD8^>})Mm!N*Y3=J
zrVZ_QTf1a-QTv*lp+yfrqHQzZtEI<8X<2R8YunDR)GQL`Ytg4hYkRMHXqWG|)($<d
zsr`9ZOxyG3xzou4N1fKy2z0u<u8mW@@~MsmI%K!m;*gZ~D5_=pz@y94;|e6F*Q)y@
zJu9rJk@LHn@vwJGqud&I<7?6|qmVJnxYakn5Kf`S=L!)<+q<zwztDq5NUL<Capq}b
zzH7E|e*ax#y!i`bkLw5H`P84rQI~@9I=`Xhd$W=<yK*^M@uQ{mF|1|m{2FqEeQi1X
zN`2`yu8A!Fp_vrp|B+Ew+sU8yx-8?{LGC!xS^7Wg%5uJ^Y+Aan++2Ksoc(pM+>||3
zUfeQL=JXva&;6PpwY5`Z^(x-dEoi0;e>X>daGWn2&s`|1^j;*VJy<M5hcA^=?=F*n
zyDpcllUB%5<pSlL(Lr+hfmQO;$6%S)V72rfuttts5Gt>13X=)(Yh`}oI(g*adif-F
zgPb3>Q7-q{B+a{TmOpI5<(S9evgg(<(&)k1{yjpr+O$=A*l&}C(zeMVB2tb$8Y$~F
zh>~$@qU4v{C~4g>TH3COmQ}7s%i^VCWDyY~tBi?}J(k7D)GaY`+-@Yq$aC>AGICpt
z{I)ViKAjXJXLgQ}CaV~E^=Y&`u`^o642_mc%0<h$X;E^MSCq{A7Ad0xBW03hq!gRC
z$pMzzq-Ee%8T2heUi6BPdFfkZ1<Nhcc}%zrJFr<+&)Xz_I&6|oV>inD4I5<lW9y~c
z({<9kz&g3H(pp)mUYOk6EL8sU&l*{{)oN*FA0k)T21}nZtK_S1f%4BC#;c<%<fPE$
z^5dug>D^+PEb@DaJb8Sv%viKYR?__CzLyJR%Wl3hXV)BAIDe+x={iIHT0Tv-%$O|a
z=1q`atB;d6T}I1JUL)j`=|kmQKTjF9bfA2?q`zE0zmL2!rKdbOsJmR}>@FwP>@2;1
zc97W@o#lb8nruC`om}0hwS4fVh3vM|K^7R?MB0{YC~q9CD?1LilVRpH<%^wF<>>ZS
zvejKn={v2w^ek9L{#sK)`d77(C3hB<CmNc`b%XPb6`pxU+<+XzvF8gTpu<DsV)I+Z
zfa=-CxFY9__HQ$c1{czdVS5i54Oi|n&WwyT7C1#3ffY6xO<%7u5{#8br_ja5lryu8
zMU%%F9m)?fnjh(Eob%L-<%OCW&-c_chV(CQOe$2^C_DCTdjE?T)5EpI^sMCd>4{Ul
z(+96?n?516K>E01Ytqg{%}UMnsO`A-d4}VxgH}$LFZ6OM{dB35dsdXw(dcxi*&}W_
z#g@u*YMxzGd$Zb73u<qt#lCXTE-VsSSgCGWK+r%<%O9h;dHQJ8Z~ANf=PcJYlnc>z
z#jMl%HQJ($-xIAR)QZz`*Cc3Pz8unmd!=cMwjb9b-ezjM8(h?Uysl|y1MX<vJ0EFI
zDKE57$KPqgO`o*B2fu5ZHvZ9mwJ9iUYnlsNGYj$LZgJs$pp<a-D=YT6RuI#RR1$NJ
zRS|JBY{ZKi)rIw`nxfH2JMs5N9pSgKz6dGTNK_7MA_|mn5DxR3i`CCtio%^+i`h|a
z#ifs|huaBp(brkH9%?U~pLG;*B|3{S4c)|W=dNN&_wM3QuO8xFw_f78=p&BS>nB9f
zf5ou-1B6BVAW>tor&v>Wi0F7@sHi)CxTslWq^K4@N?0@>BeM376@Bf-i&d*8h@o#M
zid22FSh;eFIC^HPX!(1Zcw5(7oOPWcjDbGl(1@90>#$j3OrP1}PrEsyU*)-C(5t!P
z&%SxWVVtjcQfa<0Pn|CUdo2(n?=KKby!^!dY(Fuo-9k}f<3f@7a-rx{$zQ}Z_ZQ}F
z{^H+({vv#&zc@SAUpyM^FYbByi<BPzVuqu?u(0(PGYj~OsYwe(#K47O(r1q4?<aE1
z{6zSy1>)(0`Ql8w`NBQWSB$?fPt-3wPpq_`E7o+IBb<lK7TZS75(hkIiurCnqFBQj
zV(6dgV)^N5B5?6k;oW?SaKAB0RG%_Y{QNOqyqh~t6wDnXy7eC|ZYPcusf9*}0&c^E
zv3Q6ma?n%cTpc7<z8xTPzx5X_fAkgJ?|X}5cY2D}X&&O!nr@<mr@PozwTn1&#Z|=m
zbrAp7bP+#}2(i!ANvu8FR$S=NTKFAmDbCn57nkQY6=@e6iv;V2;*wWA(P>j{;dstg
z-1uBwxL8&dyX>t*bLUE;lzRm+x?5Q>wsR@r;#geR)-NjlDP33`$SENFg7dX{Exu?n
zD_4sf^h$HP|5&r=cUS9{aZOuL=b~0<VW#GG>6n&UDOJnpm!w@-wO8wszEg{SwoU6?
zWRterHdJffI#3(ld5Pw*bB-2~I6-@L#8dm8?4c#@bJl)EHrLXEYirkMSJE7YT4-Zd
z<~arSzU8#ZCf#Ysi%6%qLra{Nm+j&7<y0jnPiw=m@-8dKMDyTO?`mt)(mc)5TNZ7b
zzAJEA`uUG*(>pHTpI)T!`SihKUZi)qQNWltp|p{cYhzp((ZJ|*>K|i;Wk=&=?_Nfe
z`9qBFYbF|AYvvf|)7h7*v(jj{WVO-#+Ir(`l?bC(&ln?cUYudQF~Nx2dC0iGGu0Te
z@tE;!?rEb;_bel<>=mQh$(zQAvG)zjpHGZ8zORf;?{bV=T|XNmH-9(2Ui)p-U1%oP
z7B4KfuPP${F)t>Y`jn8<Z<mq}Tb7kW1Io)A7b?m|B`V8K!b+AIYa^#Ft0sGGt|231
zY-OitJK17=9ofgPo?P$QK)!C;Nb27k%azIYGG(lTJW;y243BRiTR66o%Z~jc1KPEb
zO?J1HGfFzjUZb4k@dKKaABF5t&slo(a*=nZwwJFLcaXCKJIbX2uCm<hPO^q)XL+Di
z7nxbeO^!Y7Cf6@;m;D=bmHW?jm9ay*$@Z_h{a*}ScQ{sG9JhBOG*m`*LN@O?=S@aR
zq_RmQqDTs<G>nX7R%Ap;vPY5eo^xJGL#4=8q#~oDp`n!D&mZ6C-simcocG*&-uHe#
z<9naWKEH2)TMyW<EjMmsx8-hQD}3I@cG9<HhXmO!a3)*!<p;Lx`e9r4%(N}rWyY30
z`^lC){K}Rs(`?IrkY&q$?`O+S)v#svjW6`Syp0`&wy}j5#yfeyhCT7sn!WdsHJfW>
zD|^6tEBn84D|S4$75n`5Eo_-fo7v9KE!npJZDOxf*~IR$uwbXSnX`TU%-A6TrtD|F
z8`+7jChW)N8`ycuOtvBiVu!o{?2>E-d(h38ts-T_zVXn29T=p~zP3b<ZC|0ozG0%x
zE^pIf$L-K$Z*O16Ub9J^y}VA1Z6mA79*R_Ej}9raPw6VK??=hAyPwLkAB)Pco3^fE
zcScFGSJy6Qli{W8r@T_^eaaH-l8xf*DyPNlbiYOHqYLXA7%s@pI>pak63)y18O+W0
z^y6grRnOD?@qcKA(@*+R<{MRgJw>0TPg0Ie@9FIH8~QPIkczGAr+Lj?^vSk%`n2~6
z?R9=g*Yw<_qgyH6NgHUsS}o;ItD+4vrS!v&oAgClKE2MFOVjK!X;=P5n)4}{%IGD~
zlw&b;4J(35eG8+%4g}Ke!`?K;){V~L9dx<UW@>VtN&BbusM&UP`o2n@%84$gPW}u3
zjYm8*Zu3uajB|t>!tF#ejF3?M62kK<o#c=x@@0_+xm96AzPT(R&Z_;m7@x;~?)_tB
zIz2Vs=%)=F;%@*WtuNqr=W5s!Vg?`1`9W>nICy;^3q}Q%L%CmU_%z@J?CKbS@oRp<
zy!AXtZqp(ZykjZaxKkGCZ&pRWb+nPu5(dh9Z;E=$x1uCpdvr+39jVp%p#56{(ctr=
zNN3X-l-L)IuJXjAwQCa*@8(n_u=^4c4#-5~hp(W}L)TEU_YEYnqZqa7m7^<*tC82+
z8uX*29%=2z=%Y*%;(mG$*&Td{>Up0a;Y-hu`tlcOCaoKpaQ36mKCjSF(`z&?`VM{E
z`5v{NpFq1BKcd)I(@62#SG4rscLe|bLPtOUK{tB;p)O|*rdBg2(@CD22~YAcpLg&w
z|C8ZoHt!Q)au*9SS?`3HeM?1{*5-?t!v3O6{_~5Ox;Mm_QFY?X@w-cyjt?c6EiIBv
zd6pE@r(`MfY}zvBkt55Qiq<QbDKgT`l1XW%Z^cSx^Zr%LQkm7vm2In;LPunnfnu`E
z4Mnod5Cb_TA6t(33CT0%>g1W(%4?W*DQlP(U)C@WY*Ap6Yz3ylr~<P~Ns*c4p~&2m
zrpUCyicIq%MW*#HMW%<K5;I&viJ2><#B5ot#Qemm#9aDGk-71?;sTFWWM-aFWZpMd
zWPamQWGdWMV7de=Fw<8nFkd#UVXC{XVV?ga&zwIh&y4>q$J7jwWBwSEWxm@X%bcr~
zVQvzWVLsWrnwe6yig{&bCG)q|N@k_EH1k2)3Z`ZKawfB98MF4|Qs$jMQp~MfQp_kW
zNv7}I5+>i2IMcsRj9JK9%)FN&%Ixr8#C&Zm!kps}W*XiVWEPwdVA^W%Gpz@BndPT>
zn31cwnL`WuewQW3f=B)jHQf4xG^&50u<PGZbNpANvv(T(*8Yf0e~cqW#V8VUeT%-$
z4I#0MFHw$cA8N_(LU=_7s*7tw;~!g5)TRfBT)vB*4pTHL!$KPz>X1bAZIoGDiTEFu
zqU={UQNrYPB>p82`G3wvUE>)jX5a#1-%m!Yk_1#AAB$%8L?I{tlgLD10rTbfqaek-
z=*|sS6u4?9TA8>7F~6H2X9pwnsY(l-<WWKA?PSoETq&eGB7(XVc^1CsCrpIzA+xdz
zs;s&Px5ZUM_Ln?(+9e5U#)Ls-S9|zfR~z1x6or|8d%(N*Dd0q>1PF5GG@ke3#^IK6
zSfi#5Tg?iPfm7;a(}WGl&<`RXw9k=Pqij;7QAQla2+136BZ=8VWWC8WxzavQz83IP
zk?zH`^w%=#A}U9VmZ?$&iS=|hhY|hodINQ>w4|niwv-{`MEmJ(ddGSn^?!1ZrW=IP
z&eW6C^HU_{h>M{smY<`iuO?Ei)v5GY>P1@nJA<Bg&Zb@ExpeQ(YgAJI2Bm&Q)F`c#
zdRA6YvF2*3_^^f^Z?2<Lm5tOhjnG@ZP4uqzJ$mHxeOh$w5jD4XLN$ik=w`om8b0=d
zRyuXl$GDf)Eg7I5yI#@i%pscoXqf()cuU*=j!-V{F&aHLPR++AsX@y}YJFjfp0N8&
zYx%y?uVvq;irIH+)AobzviwDDYG<jm#2?DuJ4f|z{-vj0{-YN-{-X>L4z_q22m84w
zC;M;=C;RVrPIizx7rUL!#a_9Bo9!6D%|6?}%`X1O&3*uQ*l&*Tu;;Jyuoc>P*!I&r
z?8}0@>~E`i*#YXjY+)T<cCR)syL&A!d(lGMIRRewjwv4Y!KXazv4uVlf_c~yOdj?t
zP9C;$6F2+6P;T~NWo~wC2N&Bagp2)HoQu7vgp;kn;AAg*z`_2xg@c`$_8+y0o~MfY
z|4}2ezqC+%j>dHVra#WlQgNeS^k@GMdN=SpP5J$eo<9DSmQR1ChAz`|L*pm<PV^%+
zah;^ca>i*{=X?75zY!Xx@Q(VTH?-B}HEp#Yq;Wf6QdP@-+NRS>Go-p{(dQR*&E0mo
zHsKk4XZ4gG<bF)2YaT9ewfofL-(7k+qlwz7Qrd8vMJM$esL<^@bc0F_tw^t?$Np8&
z2fNE?Lt`;LDtePDxEIjT!fW*PL@qT@&Y@zvGwFrYboz!~pmJj=^r&DG<yTFhzc<Fw
zAg8l5%`cL2e>_Q_{XI$_^Btz9g8np$$A@;#?xrWloavKiJ1Jk4H9elNi5~Pcp=-4n
z^v_>is&Ze0{*G0ljTZ8>nqwtZZjhwj0iv{KwE%T(<D{lvf0BHQ55zNLh%6fIAVymE
zN#L=1f|^T-4u2kbWs^o8TsljBG#ny}w>pyPH;|NuD-efOLWD1V;cdm^mH6)MW7xb&
z0!NJi*25r2277J=xFCNT+~>IkNZ&iqVI~CE3o5`_7Jv%Q_ONO=09qGE!Oz{v(Bwxp
zY!)bjUqox5J%1BC`1J{FZtH~|neU*y!!!h(f8dViTqx+G0HU^{Xr4<F{VZRB0&HZF
z;;14T4O)wWXS7hJzdn*4V4%Ce1leD-Kv#yXkeA$cbjZO0C7pIfaXB7HrQ91CRqsb}
zMS*BIEf|R$I);Xrr%(z<Bx-k!MoTMWkoBK9<h&sPtvQv5F4iQYOYc&VsL)09K`kAL
zn_fl-cV?jp*Bo@vEf<a3T}3A5`N(@+0oou^h{(uI)Ox!Z*&Z)NOv7>%{iy;8XH}sV
zcnjt9-A0l7Yti0scaZjxdh}|d0qt;Pp=cIHUQ!ed?_;A+l}+fxR5Loc<{lcgX+bv+
z-A8xg7PRGzhbTV#5i&?`MclEE(P+RE)V}2@!mHXA@Io63y73IDx;#fs-0f)Hjdrx3
z(SZ&<>_EnwU!dlu7l=cn6V0S_qV$PQG-A+&22OOLklHSEd!!3p5a>or6uQxR-EK5x
z)QvXlbt6-yZZss^jie{K&|G5|ijM3;wahMb@oOhi$nHc3j5<+3+Y7Yb@dd&?9Y|_x
z2Qsf~N86XRBh$d=NC7`XfB&_iK7%&I_IZkE!V@%HxKNK)--;;v5xPJgB6jryv@Pd8
z+Ig}C_1oP;U*+$j^06i)eVvVL>?v~khmln-3mNG(B7=MN$jPz}RkhS2d&3&!di@sa
z=cz`cyDL#fbvfesQ;IA>2?`4-Lgj^ph@-s#C4I?92ZgRJT%$a6LFEcsq@InosAM9q
zRT(H$=n}g6H4V+bNI}(QNvQkuc@)3(9Qq_4hvYiXBJ;#3blfBYv4_HurdAk=4LyQ{
zZXHDPZ~f3s0dKTL$pdK^xuUF%4yb$McBE{)74@lXLhD60qVP`uakUsA(F@w>qsuxp
zDy@Rdd*qSxxm75@a2a|wERI^EL{NzwKVmm>qOvQq@C2QLF}?5Lfr&o&V5SY~{=N%$
z{;q?~-^<|2PuC#Fn{+7pA^|=)a|Rl@?uWN^?BD?*1h2hQhKWQB_Uilq<KJ5WxqAg%
zGTZ|=gayGaA#=vQ;FT<))&E$R7dhgR(hPiT{XIOGKDA)9i;(~R$P=NXhQwgdn(SWZ
zMcjPC2%lLjDS4Pm_)rc>Ei5GXzbf+AibWpB-Y1#2pOcYi{Y0Vv9qH=$M1tyn5@Nxz
zaPQ)!V}Au{(&GgjeO`h-F<VZ@zpSEy7v<>>HD!AE&RS}&uSE?@bm<atBYG_W(lTs9
z=l_}0eY#udZ8sZQd2|O=KkGn$N4wC;P<Q&=We*M4@}UoY`q9X$02=EOM9aSi(<c#O
z6#qLxUHnhe=Ftesm$;yDsh_3e_hRUtopH2nAfB#pNuZ$PJXP3`L|Y1z>0+K#I_Hu`
z!;3D^=ua1^pjtZRcF&-`@t5hkvP`<=K^Cp=&8C6FIn;Of3eD-wr92PvXkO`6x;O3`
zwROv<9?I8g%EWd0D!+i5?z}<o{k}n6GYhGp=1tnpx=G8KMf6%@5v@=!rahMy`0|fp
zdfK{#^5m4zTW?Be{OVGgw4;<hI9W;!u9niVhEn?KaVcHdSxPHkl+v8mQu?v3lonno
zrCrBM>FI5yv`V^^9)4XypJ$cOj)k$Je-+bjS;bUMubApTETU_+7twz&Zqn|pH)$;`
zq~$7w^zpeHRC=_4Rv8q~jL7Ts&Ha3Og(IK7(z`}0_FSb3ae36HFqbmP70Tb1Ls{L~
zbboIaRe6y~`5s)RD{g1d;LLQYdh8Ol-f@wBQ@B7izob&hx)j<NnoM=HlIX>E=jpeU
z1nO;gj?VYT(cX|)$|)Q}GjgJ7nQ|0$ERUeBE~ja-Z8!}D$0%AIN+o|BrYbFg^k$qt
zZ8G(v`QN?iiQI)XM!RWew=1pQ>qN~z*wH4x?R3YmHC?-H3q5hif*z4FrDlOlD$~rM
zdcuaZ&Q_Q9Bx%um57cSZFBSS+L6L5^lB4_lS5ecr<#cJDB$ccdqX(%7wR<Q)XP@xU
z<fj}oDfKrgiuy|04o;FiJKvHg>j%gI!55@(u$2s!Hk06x2J+mvnrxpdB5sXW$<C0=
z<np={lK3u`sA-%cN*4l1`*$}o>9Ca;)G^4hrE5u0*a|W{AV7ppeZi*I?Rb1mB|gfP
zgnRm(aKwEn+>&0zk_$^|RMpwQ_|y81v7}cAc*}%<ExFm?tpo-MhhKr0wR1p!dJ#M@
zvl=>0YQU}S2xi={fpLEBFi83!ENDClS!-fp&g&#7o0<;48RWvI&Kpo~Z#n!oUIQO{
zVz}wqJ-9~W2^5KV0qY+0!;XK$P*`;wt}vg5<vV`B<J<p2>1&*5ix@AuaZCX54G1GE
z?ZwC@atZp_Dup-%R-gmSRfsP@7Tr!=gRIMy&~3IVy8lQW?Rlh$_ET*{OY{&*G(?ZR
z8OTBxp|oEcP}(h1q_W2X8S-sLH?CPByY)6m?T#%H(%OlJa_vzZrxW_(;)4FW>4tJ9
z+);&$CtAJ53-$PVBld}X=w75BdUo;vdh8#73bq9zOQj%m{qtdzUlELSJVKE<PZ)Z5
z<rpefJ%L^pg(Dm3Q|Q~7(+KyULEA1wpcd^&RR1IrDY{1?-pMFr9~g}mO+_PhpR=f>
z_biIu7=!8xW6%cfSS0Nli!4fG5uJ%e5e9K6@kktcQxu0z^u{6A`8ae&HXcnH$D>S}
zc$DZGj~;r)Bg=&lcZo+zTjNozK|Io58IKHp$D#8bamXk?4w?AJp<>NA6!I|^mE^~w
ztvh0o=bsofbtMM<Hi|(B&(ETp?q`w1STxG@i$-yyQ48~kLLQGJ(QchcB%dCEJV(x;
zwW+63&H7VF{6RQ!u{nXRJwAs18i%2?d7)_guV8e{{0NeY4MHX)5J`*&pb|cRv})yk
zbWYJ1i75D>yG!??NB?;u@On3bw|Ak*a9897oYA8%4#@b59U4G8(BqzMNW<G2DNk-e
z{oa<yx6d5?GBHJ!`5Vx!-w-KnVIb{PLp1kX50&xip#6GUXqVeMRB=KLoxPxpgbNf<
zK)D?1s9cS_N~Mv_)n$kzNurmb;;7R}6m{wfBVHi^l=+eeH576pg}%SA(D^6a+3^|1
zFehPl!8`cnzgKX?t_OBpeGZq7K7tbRccGFK3zo&!K;G(dc(JPx)_%={twNblQ#K85
z)=Ge(AR21MAA`~t55OatyWp?PZSX+42|S;y16Rc;!r|jfVfsM<`1kI2aJ!@*JiAE1
z^T=yJC-f|se!U%l(d8iG&s|1kjUwaN6~D$Y%S4tDnq$5FsfP#E0<c|n8rBu6z;b(A
zaaF+x4t+9@`96w}crR%p`c#E{P|zm<0j6Z4z?R&8yo<;T?I$rqM~Te)NMgGqo^aPB
zlL^6eQt6OGcr)@z?vo;-I#WSh7T1yy85RkbZzjD<ACj{9r{s433v&HNAJOv~A`0Ro
zWbLg9!e=^7f?H;Ymi})tmoZPQzjM-&OFUFbgP+b2LAu^tgf`t1rO`&>bWfoKMS@G|
zzrD+8+#P9p_undd3Chy3!}9c6t^zG<Qlek`RH)mS8twU@POaW+(3?G4v=?jB*2}td
z|9*X1yxx$8Oc_ynl|e%+Aw4&W=;xyw=;e768X9g&PfnT9e0vKzP`!z+;Mz=`H*cYd
z(N?sgW-G1fx2BiB+0dPww)8d6c53i%J9YT5gBrB$q`lYesBWM=wbFE;D@GjX)kH@+
zxYmibQzv@d!kG@<b*6uGTxd_G3k{laq3x!w^k=LqoosTYl~b;CtC$;oq~b<Z_1x%D
zeK*QdccXuox>56At~9sJm5N_>rDcw;^r)~aJ$1*0KC^eBM<$(Vc(615@y&@&`#RB(
zPDgrK$8jOAJJ6Xfduk(PPh+g@XvOiJwExNux~y(HJ@vqru70|W3O}-;ZjIJd{`yvW
zB+`oRb=pFO6gSgT<C|z_z6F)FGp8r#OesgsM%tonLI<0e)W-tR(0hQY7&7R^0wdbR
zZ%8@4^{HWlE=}dpp~_p<Q>j=@dJM0l2PW52elax~pru0ZSSrzZX9eoLSDy0v$}X(m
zYI?wRB|TuZf=cTxqgl(OD9?{2G`vlWuFMmqJO@Om!+IgQ?khhnDd(jhy}0QTNltnq
z;vZSwK1-OA-^se|pNT^B2jW%no~&zsLz*XE5syE;#EPer+~<2n7IC!_-=Fu0<R~SM
zPaDXg@*0vKS4lM7ONgV!4YGSSkHoRFh(yFCVu4bK$Io-*df8c0z&cHKFAE`a2ltbC
z_HOb~$evj4+(OdRnZ&h6mn>VNMs`@ski@eRWGfaR3h(A{i}e^jUf+Q&6)@IME5xQ;
zsd!{MWPuBA!Fxt!@Z#}t)|k=-)_28kjrPu##!~xsG45HlFqD^xfR6zNp!tR;aNZpQ
z4!C54o2FGjdc}S4;#EI*eQpY<iE~1^ox*T;oD@7%EenU*)S%v=F64fVVBZT%xUqf*
zY)^87;toDAOXLuot2qX}l_H_lL<|hSo&fLKrND`~ix6jLLjLu+Fbn5Hgl@u?+EO?x
zUj@t0*1*cadiY$8z(N0JSbF_F6k4bQdN$PtA9B8cPXv2l8SemO{uqQV{cqrl%29ag
z*aXzm{{)|peuit}W}x7zU(mha5B$Aq9`3r&ff&JDh<7CqD#N^Jr2{{*7#BdxjtHTs
zAHwM9;YDcVy(q#v#n5!UI0}@KKpOs%NTzW?`}%Jw@<7W`M(_&MmM@LIKU#@+##W&(
zbE{FMpe)i|EQgMY$fJXtYmnIV8syNafb=RA(alIDblqARty!#sWFD)a3nx@jn1UK=
zZBavK+}5JZ4{MR=VRbY-t&aG-*P+Ocb;w3f1No(BppLg1C|X?;MFnW0r#Cc_N4MsJ
zSF4G9S7@OjO)YdCXrYD;T1b9j`$j_x%`VeI2Y+iWJa43lBCcy9)dQNyL`@U54{M;8
zNg8Ost_F%)7+=$89SZrXj&_Brqc309A|vm$h}o`&M0C_pd7>&(8&*LnYAR^bUm2O-
zR6^zbib#Wd!TVBDK(|cRpbk5Ew829TiSCs})*doQz<xEd+qeorm6fQQR~oGwT8<nm
zmZ7~zmm(h{DHJp#fzpeXpb2|%baHMn+Lt4W8ub>TbB~14Cp#hZb6`O`aN$QzUA*Y!
zCLXk_mJ7|S<V1(&=3zw59Ng?V3uifhz^2Tv@VVkNbiDZi#;+cS83`k>c4`<(S`NaG
z8T~L|s2jFPzknvT&*1!t#}MW{fa@FYLa{aqm-IElz?XNRd+#l{^l1g`Y$$<Gt`<Ur
zh<v!+H5cyC%z`0*FTt<(Qz1`$BAl>@hrRRBP-@>9c;>-T=&>pgYWe#>pWD0Ov2S+p
zjrvw7<zWg_6OG}++VxPUUj<tIl7aC{mO}5fi=fj69#~oM6Oj9(;K{pA@L;|f<gBOy
zOubxi)%HAa9XJAtmfHeO4|TAyk{?8gwKA%QA{ZZJ#*M{ZbvBIuQ(*-bXS1S|-?E;w
zB(T_H18hcI@RbWEv3g+&9{h3*pHjb#b?sa5ngiYVaKL+P=K2$RWpR_FKf=UlyCj**
zT15`^DH1gS4bq~nPX;z3!eeDY-kI4DaV-a;DeO-A`@Bizr2t~LF@*RJg%j)ANV4H@
z4B4x6jwEy>l7u6v#6b8G@yWhSKFQ{g>p6L3_oC}$Hl&bPbrutKrE(H_u!?Y(-6pq&
z?hqH=Mlv8zh^TH8={34X#B?8!9Qjt_wBUCtzj{U{3p+@ZcNghe+Dn>AKhbo2MYu<X
zh|=CS<V5c~G6~-kw~TSp_->L+$$uj6?50Wdu`h(Ad?P2azLV1QpM-ICmPq^jA;w03
zN&LTm<ah0VWJ47P<vqnoADeN}7;bK=OSozKK^|(ioR<>JOZlAnsOA(OT_4U*g}DSM
zjufC9{s_=?e?dxn1nC_kA$sbP5S5w~qNfdnX~RijdLIkZ8#BVxMNx!~*@)0>K_c|x
zc@f%pRfOIz7oqjHMd;;QBGj)$gs#sPp)=77ZTm!Mw5bSnUnWAgz89tr<-#;7K$s3F
z3Ddp(LR9sv5M8e(L}MN;;0F&u%J?EcD^3W|OY{8n_rl!9zwy!id--U>GhXVb%}e`}
zdFbjfZmMm_P35Dw=%0t2^a(E~&1G^>?vZ&SjQ)|p^K-=N`R|3(oF&8BKS}q_?}X*|
zjZ_DJA-%!VWb6J<WWD_da#L@Dv<r=qr@bSDX1*nlw+|Ds{|3pOf|q27*-y$ldWfY<
z7wPQpAV+MU6YB-nIcCjcVt(c!sqAVYA7t+mId3)zy@rW+PXk%aRY#gsYKZ)%YO>$G
zg4{h=N_K`75sMQy$i1Wa<a<CK;daj<(w3RTOFf<N30)vsBgsUt{yd>E@g&qXhU}7z
zBB10HX_X5j^(jHb?dN_X;;@&<mhU1{a}K1<+?Fhf+f0_WY$RI08Kh24k8nC@kp1Dx
z#3EOgd}J*rHQnN5=7SL7oaZL~tN!2)!%ui<+iPs%)q!swxrdu0YOz7mO<b3mi9Z!2
zU>=X-*!q||=1Jd(<LZ>K%xghxEj`E@Ja>a7w9=K;ceS_CM1H5C<jxV}6Kx)h-rk#x
z`hp>bs*(^8@m2z+NhToSsvEeGbrh_n@jy*30~mxBfIGMv2+UBBF8vfVYxje1hVMc8
zx^H07;{U+j&%7|hMg;ceFM%&VE{D$QvQXGl36`8who6eHVG7F-THi%*2%ABU(k(FP
zye<6b;Q%#N+~C|BPbi+W4{ECiz*YD#ya2<XW7SERE*J?XYog(K$5`n8H6EItJr89T
zC&Qk!RJc{-BHVX69STichB8~SVO;(dsIh?Ge;MY(w$K82sk9Ip^%lYW*%DYUUJiZa
zD`C1yHPlhO4ON%b!o3`I@cD2(biC6DCnGQnF{SYRZ#GmfYK8_@_u%(;Ezt4s18DQ(
zA$$_p3Y&)>LwVDu@J&t|{PN)$G}mf}FZ?=S;^i0c0Pcid-Cc11yKWfvz6YKi>V@%7
z`e1l@KXi&7fKs+EVb$VSaLt2P(C^S7JS92=cV8cZ{OYe^Xz^=UBs~nTL=MB9L&NZ~
z#v8~T{09D4{suO`dIK&0djm6;y@j_F-@+W_x6pO<TlhubE%csz12Ovz{2TuUYHof5
zo&OHQsKQ}bYc>pj^}dD<9<O2l;1E1-I|Pr{55fw`L8#~Z3QAYKgaMxhpt0-#Ot$QY
zCw%(gqT{{LF{%gpM0P`)qg`<Io=!Nq@ddoQyaP78e-7UkKZ85G+ThA1PoaIoW4Oej
z75Ys)golnifN-V-zCUmeMh!GW^$kt%cMgR-Uoi9rEU0(70VXxn!GsUB&_c2X4(Q*4
zdu*%VZ_f(IK2Qdq1(ZND-y#TI3t_KC0bIW}ANulNg*ii4;D_>T7!sNZoeeW!-M5Rd
zvM3GiaZG{J^NBDlKVhK?G#>Kw#K5ilqT$kS5m5N+NqBN547Pkc0+n7KgcEE(XrH|o
zRtD^b8x35b!!J9iUA+y;?AZeM37Ny~<xHq*X$<vW>B75ynsE6SRTzC(0oqQjh7a~G
zhgv;L;H!;`pm-@iloREG`Gd3Ib@~)Y+58Sz|L6r}SDu2+8=67=P%XG{tOOhs%LBuO
z7r<%bIPmmx7_h^h;Qs3^z?54T@UC42bnSV;N8TaESYQ>S=6xh%^MER2?eZ(e{U^3G
zypew1n7n->%d#?w6`H|fCF~w&sc{M6C#G_kE64!fkGIBO&U@jYW5;l&avV<Kxq#Dq
zu3&|%B7A$>ZA^X;+?@0X>n-iXS;>Rg|K}K9Yx5PmT$sc39T(xB;V13CMM(coaWXo&
zlr(m(B+|F!$g{IbB-3Usu@KfGSqmA(!`p~>{s)P7@<yUBzKL9ovm$|Cw~@o!>_|wS
z6R~{jM(US(k_@Idsdx4x6W#%2-YbYa+ZjUC^p24+zLR9|$r<vsDUys|h$d)v40$Ub
zN7zI0q$MqZyhe#+{%sOjayo?wElDH2xfjSj`AekiN;<i`_%c~_B9p8e%pzDnhv3*N
zM6NxT42xbRpDeBs7?MvOW?d%{bp^!p$pVMyDI`bwZjwtKMT9mNllMg>gfF&~NV}Dh
zRVw9#??XB1DySe4_LW5FZzT!Lt|G-+)ubL*lWgWKvaR73=~BH-)~4PjcGI`XHnSSC
zI;Do(eNjW8a4ks#wd9^xE$ND=C9UbTq$t0Z1mCD7+Ih8PBDt329<3$L4z)y9y_Wp>
zRYShu8X_E4L+sRQ$cxU~BqjJZ$q>FxzGdGc74o-8=hbR*P^y}oi>e}e<CWxuStZ$j
zxq^s}l#?*!a&mi58F_xGl)P*zA@AQ66OQ>J!VoVag{y9o?Q(_0dese5CRRYs{L3e=
z-d!W@%~#3c%Xy@8UoPR(x<X{XWE0)eEaK>%Npb`)ljT+E<ekkWB06?~+zv}4@3~S5
zj!P!id`YD8^m#J-<s30}k0%8!u|!ufh6tXCCd}?gGN}+jHVvL6Li>)BZSO;grRx!*
z^dOL|RQ4ykPWh76Pxq3v#hzr^Y8UZ4<xF&n>`8R%c9Qbenk0VPOseM0iPk?8V)_db
z*$+l!u1AlE;`JmYYaMAgtV-Bsisa>DIbz<sl4xIEMh16EkW+$-i47JaF@Ai+U7U+Z
z2h8D|if_1Ld=lT6ev5Zl_T$!r?KmU(A=W6RnD=fiKG#)-HQrsvUQ<~(>qjcKoQuQt
z|4!jF&H(%$mn(kFwHb?Z8Q>F~iue!b670vrfgL0UStd#iEGv^stUYa>EK}_jtYn{p
z#%6P+hS}_3<MBV-jIX0s4BQdVh+bOGP%&+1%<uTd(6}xHx`bDOH9i_(V+9lVjM#$v
ze0xCh(j(wsd?Z-?_Z+bBz5tfo%?7ed3V?`H83<3Q0Rk9<odYf4&*W23^r;K{eDew<
zJsbhzxgUX=_Y63;at=7`;e@x>@xqeN0&r2O2)yGa2E%wH;o2L^U;$$##E)d4)z&po
z^??%9&{u={IqTqxUs|wcvo3s-VgOIH8AJDZ2z`}I;L(j{(0Au1xZHUQ^xtU>nHz24
z5yhSG!<;>gedGky;#^@Z!ySse^MI14yx=WipM}?X`9d@91CS>m0DgZI2>&iU40&9F
z;jg4nNbiI}(~jft@K89^A36n3wx5A3UPi#{4<eymX%t)&9}W3E&cZp(82IZ~44i3<
zg_9w1uv0Z2mh{BK{o&`Jh;#x>zLfw!Zd}OSPtQXIn?(5gQ6kI+NszZV2^ua+h8q6K
zaQtpE^cGKn*IgDOI|c6TPJ!?FQlY9&D%5mLg};uZ!r1s!IFykJ=W|ox$Au_f*f&~e
zySnh%TZdH0y>P4`e=3|^=-Zo<0!!Rd;8DpGX#Ox6t~{I!xulXI$L%DzYI73w=u3p1
z9*OYu+w(AB*LireBLV6&6QDxjIT+4+4qAG|!;81$p#OidaKIuKeu#;IrA=p{@=P>5
zAQuf|ETdqQUnD#n9Rb<v&%is|PQek+aOmrM9C~_%!B0Cvp_)N3G+KNZqM<<OxL`cp
zbUpyB`TXF)5+AtMbT2IG@PvX6yJ1MX8x%Ehf&XqgLSG(xc*uDNgazB+&(W>$!Rjrr
z!)6m?hMGZe$plW7B6y~e0ar8|!ZEfU6syyQErps;Em<8NJfsTg7A0u5dJR<nAOj1k
zSHhm4<?!=bDJVBA4lgE&!cYTY_;Y|CnjYhUu?zaf<kmTG#Q!@GjG6+1sbioseHh%o
z*bkTqFF@Y$C&0|B1)Mi0phxZwi279lrdw}<Q|VVhqI)I?mrnyFZ_k0SyeN=VeH46^
z@dG{aF5vgH6<D(q0)ZM05V%AZEITX)8rnI5=I$}ZTiM5q#bad*ncK+>9pSx<wiZ=}
z#F`;v*S;Ob5$?C@w=|w={OR?rG3JF1D`jf{%m4WWmeHOn*1f@}teOoIEE{t!EZ`=F
zUH8i13%k}~-c1b5CA%3<j5%Qb+`YKk<S@2;aT<%L#A35oiTL-~i?~-I8z<IZ!>t>N
z7C2@FE?ZZNt5aE6V4@lO=sd!w4n4zsSG#b1^8nt|J&X?xyvLL6AMxS(ued4Y7fyEm
zho8rD5<7PuQm@8OUQP*;oDvZ-xN9*v!@q>=E0H8eOqY?k&J`rVWfgJnlOdy9<q3bi
z0x4atOlpHviAd90lEtk-%$ZtbCQzHCrRx&@+xleVeM6$wW=x7715!>9SyQ-y%tmb_
zD;&*8h>Qi9eYJ_CCvPUez={lXZY5scHss-lZRD5FcJi@j2T5nxk;#kpWazB}*{A44
zj=MRNMR6`<MUgAHgx$!|`@0D1t~+t9*-dt4d61l7PqN;04-w_{BD%zj<oNC-X8hhn
zJ;$5uRPZ4USAEECv3<lWbRXIOd>`pr=}V&AeaXp-zT_VDCC-Ds#Nx9rN%`qZz&BrF
z`_7kiJ@j43Z@y&vL0{sc<x76N-$%64_K_vp`$+KvAM$UT50QQ5O;(zCllh{(q?>0i
zDRcB9mvZ-zya7)#Amm9LwLOTE&2Hkf+nxO9y^Cn=aU*j(T}ddzg;XzdCigx#lBOC5
zLXOyzb`?9asA~sF4B1Y6L~Kb_whf7pwI*M)t;otnTgbAbmgK)43-WQDIr(wIlo&Ug
zkQaZMq;EYUe!Bq4J7Y{TvJFXKg+4KD&?W1!HgTxaBJCv_grutza6*mvIjInD4JESu
z?;2utUycOF$dHd4R*@GoE6Aq&Wh7v;6!D&1Lbjh3BRf`zlK5g_vQ$Tq$kg$X2YNh2
zt&)?Bn9t*Ih2PkFb_S2MOk)r`iR(9v;%i@CW0W<3dyKnrb?0-u)cY~sIo*Pb53}*!
z=?2{DU4vD6D)6HX#dzk%b^L`V7mIja#z}Q)7z-rg5yx0;pC5tqIzq9f^8u{!ayS0q
zXotnxEwQ#4#6vafah1FhHcVQ9MSm^AEDtVxJ!Oj3;nB-lqus<JJjJYsuTojp0)tt9
z*ITf@aV%q<zWbsv(#pTFIKigj^I9I`?$TUibD`hHFPE)l7@T)vTnmh1bn#{})+SUj
z&i{G9`0FspaL)P0c<Rjq`VTDz+XJORsfQBqGFuP6F9%>~*aDPZ-VR=Ea03&4KEU21
z2o(360NS}xAm(8l$Q(-q>i^OJr_g2aTI32y;LQi^Gld|iuM`+mSAh?wYJt5;BVhib
zAmsWzz~1->eC&P-THHE-RBt!9Wi|l3ZVZ9hUvGgqa||pE`v6R?PlF3h-@u#aKf&Mj
zKLFpG2Pf<}A!KsHRC!+L^^Xtcz7T+#c|wqLuL$Ik6NL&ri{Z8?ad=ck0><5!ghyPK
zLZz`~Fzvt!STrULU0heej0daXc2!w;GD;4Lbj!nUs}$fGcSV?bNeSw-D8s)KDsY5X
z4GynZ3*RfM!)fJp@T;r_e7{%|w*1tD(cM~bb;){|7@`dy8|c9H&pI&csxDO8qzC;+
z^x%OoeJI0a0Ar#J;FUQ8=ykvl_Ou(qAL>T%?r9@v+-d~f1&pEA24i?Dz!;9D8pG#h
z#_$j|hL0W?!`JtXVI9jDIuseh<^*H-*V`B_HZX=9^G2|j7{SaVM$ksq2y(O-!g_Z@
z82;G+Ivg{AJ7)Fa@k9EscSsM0n(4tk*K}dgcOAIHL<a^%Yr{qC_0af>7W{9877PNK
zFw<TGp7U7;?E}>z|Dm<;maiK0aaM(T8&#mz8fCbDP7%(uDZt^3HPFOG9<Gy=gLMn|
z<xB8t_<8v%*jgtI(`;5ikD+C7^S-6fV?q+ry%O+vzc?)3BnCYzMIl+d2zDG0hV@N?
zFkVyux;ybfn`|C<xQ`2tigLo!k@LXd<sYD+`U{-$p8=saJ_F0Hk3e~L99T+>g13rq
zz*>z#;I^(Gl&<LpJH<Lc;*X~wrSlQERMY~xLYhDf1A~d#I$&6R8&r5!g0n)UV78(V
zm~YJoH{M+V+d?uy1ji*17MB7J3!Vohv9ZAIzetcYegasv9tQjK{lLCp575AL1OwbQ
zz_i5-1fODnVI6HSKcWI`(qw=IkOKSO2?OOgF2G~|jqyHXnDM@^jqzt0iy`V<#8{qn
zi6J-`$+&K|oAI>Qh;b-bg7L&)(0EmTnz56esPQ$9r*%#Z(v7oTmmB5L+s2c@QY?2(
z2Fv}~Zq}}%NY<YIi>$WULRJHR1Iv=<2`g{v73<BtDV9$3f2`LT0{FhCIQ}9djlXoP
z!Ml#C<7c7^o?{loipwk(?n5>hFXT(6(QfQ|VjpfS55%9JAI0f!PUDiGXzb$`hwYrs
zV-u8u|E{=*-KH|Ic6~N>2+PCS8rO06Kp}n^UV_g^RN%a8)p(IYEiTTk#}@n;H~F#g
zC-z-jA@~5l+T4omPCmt-3!dYYrWaVEy&Kzi_F?_UFL8R!5Oz#^gPpua@JZz{TsAa;
zTjM_Bdc|qHtM&`NVlaa}%YNXbC9`-@z#sgi{x7chF^@YgaFB-uoaA-|7m2UtCL79m
zNc%NjvObxQxP<T%Q#%1NvR057%n1_x`$FVZj4+Wm5g}YNBIH=!B68YPl!y<D5{;0>
zq>WRIe2x<%7x=_U%_(tWGbK*;I4mJkcb1T^q7vkwrv%wkDnZ&lNsuZPNh0DVNk(EN
ziD8)}5o(nro<ov^@lldo`6@{gzbv#(NRrk4lH^IVB$2u<Nw`l+lALV|eO5@4(IE*^
zkS#$}wo8z(`6c8^;S!Q-v4ljw7AMX@;zVgqjC?ySM%v~U6MT3vdHP0_2y780;iZd+
zChsDm?IJ>wZwiwgQ$i$8Lx^nf6(n)l0_4CWelk17N0_2~#7dQyXh0q^vxS>f?BF8)
zcASK1yYL)c!aODi{^H9U{@~SuvpDe44_t9#26HNW#mUXnILz)7e)DP)e{vbe&Cf=0
ztl>NCd3hLzO%392#xL=YlYO|Xt{WSVzrd}c?KnoG4QHA?#wt4=VlT%Qe8{dDAKOfE
zr9KPmt*pm}ziaUO_G;{RwE}<gEyV?DMYwLX0PoDYhOb%X;_lB`So%T+&eObz(;lQ?
z8K*=XG7^vP9f-kjDiVwIp2Rm>LvjA?K<skK7wZOk;tM7&xJP&=cIdFehm*~4{3eL!
zXZ7&9n;Q7=Hf3z^O$K+SEyI->Vp#T}0FH6v#4&?2tUdomSwYghtUY><SU<NmusFO*
zSc+lUEZxNOtOm2=tb2#uSRV@ztL>F6t3aBIC2_yCv3_4t<8>3o#?v{54Wma=jYL*5
zjr(6^8Oz0V8_P!XGj>)gGFt9!WN<X?W>n^fGivk_8U6{`4AU3Ij7tLbj0UX-453Y3
zj6SQkjBxasVYB)lqc4OP{M;@AYSu^qI=KQoDU<^djw;~NoCaWB(gOwZ0PtMj2oj|>
zgQ@Us;C;6}(2#QjC*AjebBVq{wBjJR&khDYcaMYO+A~0*Eedee#enCR<ALAd^Pt=`
z8JreQ1MH_4flYJ<5Yx#5V|_WGCL|BI2;>8Lp#a>IxCyM!7X!23r3?7I0th!$fg*w1
zz{<8344kh6h}{6Z##mrI&w|FgtO<n3-384uEnv@*2f$?RA+Q=~1;OP{Kv75==+b@;
zK8&=3z6G9eUbzeWt?LF7uov9F(+Bt!2f(w~mq76KD{xC~2-NR?4VL5$1N`s}C>ePR
zy1u^yT7O1B{mdxveES|Kw~PV4tZ^{wH34SjCIM&HBoI6P0Vqg(1cvz^fsMi^;FI+U
zgmX`U<ULa$zh(;D`8@@m=}v<$d#1svv(vyidm0qom<GZH(;y{%8W^5j*ms%+i<PH=
z_2d+2yEX+ft)~F}^a)r*egcL<pFn=xN09RS0}%530A%nacr7#uoNXsSdi*#jsv85j
z1MflH*HLhMegs5wjDXq&tg&YF4H$Va40v*1gUtO4=cYagf=6D0x2XeQrCvYKf7S~&
z@9F{mZ@WOvu1)}+cYtLE?ZETWGoZJi1C;4K0mDaI!N;nHU}E?__{!G;6qW9RtBfWP
zVM)QzRt)+q8$mLt2eK-6K#5Qd*fLfP<XDx!Cbk@Wu_^^B0>wazT?k$V6o4$rd=PRc
z4<y=N0bC<l;LoAU;L^`a;Oo%~!1!wlNc2epV%-T~48{Y!YcXKed=$9n7y<I^!@>Qp
zp};aG2>31b2Pac~z(WB~kbTS*FyGjNxec~JF>?zLm^1@lb(lcys1e|<(E+WK>p+XN
z3fQzs9%Kfr1ft1O;9Kcpkl7*#HuZCZYn^ip&gsvLE!?9FafyD$ztwGwYQ<(owMs1`
zU!|C#u5^VlAeYLpUwM|{zcz@mSjL(0Wr+#HR7jO!$}7f@5&B}>Ak}Q#rj=?ec*n$e
ziPt?N6U$Hfa`~(VJqy@)I3lSryoofb4Sj5^@n6Im>rrGaUI$r=58AOFT|U5y>WN^D
z>`Y{ZwOnSEDi^T6g;%n=?lrOs|J-N&TGPQ|fLE*$(=k?<@mE%u%wN{6W84cha{_q3
zmMC6#QUVXLmt**AHRe-Nz}%Zv@tlVSz7?Q@#}69f1A8I<ZoLt2U%Lr!pR>YMO}5xL
z%pTXtyWknNJEq&b@Y{}kSkb~CdzT%;zT6>r-uf8+9d{CoyGGzLzbIUF=qwgI6pL@{
zi^m5X6R;&S5v#}~;~zg#aNdJ7ERu8)ueVOe-?=X1t+z6<tW!4j{+@#c&*kEOl2@@_
z<~5wV<T_q^wg5l*bOQ%j-^3CHML7RUF<zoyirs?B@Zsy_*y3pge(|9a3v*WE@kO_=
zyZCMFFI<Cp|JGooky?DO`3~;CRENDh>an|A18(VSz^O5f_^uiY+umnkeFuz>4r08>
zmEb?m$O2ZNcp#JFXP+sSMr_;^u@EdaUh$EQyTzOEC(R}tVA_P8t($Q5LL4`1!mRa8
zI83q$<7qZdYGUK**o81><K*8I58j~o?Iwzgh6&a?L~!a4jGrCB_~#f4OYCG}-P%U%
zxu_ABx;Nm}h4uL1NFA<SQHOtRx`T85YjJ&C4Ytj>jgQ^Dg*TN{<3|NmcyUH0UKde;
zb-c>4E-b^QqNVs~e=#1(F2Y$3H*vW@A=a)fz#E*e<B#93VT**T*k^g(LY}&UcgyBr
z_slGOS|}6049&pjUS7i2j4oo3nuZU(O~Ll-k}>b$M4VHVfHf!L@k{AA+-MntM*^eq
z(bP!1+~o{D9UG3fmxSS#yTMqx;}DMS_Q!hdzBr(HFLo{Vz{YWIc&ob;Ze44Khd*z_
zJ>^#T-JVT&(_&Msa|humJ7Zk<Q4e1`xgLx2ufvAtRq!@J1)LixgSUNOflK#D;qk{}
zc&mm87ER>GA!A(F<@jIL#OfK=N<7Khz2gmw@wS(x?Ej3F|G9;weu%}g{ZP#c-c!U<
z?#X36vAD#Vu1R3c%0{vVB@eM8#@$$*4VzhG=k!^5ZfjUyG#9h33(hv`kQa>wVP%aC
zD5g<Jp4r&<Xrw`I^|FRH_m&&o;~X{GRfvpH(ph5}%~InxHSNY{SN$+vp}UAt^GKGl
zVyh0rk(e{iNjouKc<*O8W`{GD4#hH>-li~`US=|?ALTQa7MC*8!fO~!8wo?{&wa+p
z8_yUUOnMn2&t5a)ti~CPhR=-WQnQSs+8p45Ee}}iBLJEYi-5pTF)(>Z5(w>C4sL8-
z1!9!tK>QyCaQwas&_1gUqK&nH$*2ynJ!=3?tzdw>0tC|5Yy|2V=D=#+5<GI<3Qm-5
z1Lj|LfWN8^;EaPaC<}E1d(Q0!5vhB?Xo5EgKIRK}T@HYlbq7J;w?m+_><I973I%~b
z!a!fl2@o%E3V5A516037fGaXlfX6%<*m<1=k;h{|#JN~tejyG#z8DX<lh1*Phy-vX
z;5<m*o(OC-l0X_)GT7ab42m*RfS*Gu$P!5d#tTk^*@AX_i{~OZoqG`!YhD6s4VM5X
zBOR#Jrh{DN46rvX1B89g0DZQXK}^AAaOU%6a8EZAY!Au=%7vL=OJ^pi|CI?sq_RMy
zdKMTp&H_0mS>V=&ETCYxkQ0=%fZ^gSF#I_a{A$ev(b<{cymuy$RLKM??=FK!>6gL$
z#>=2*ECbk|%>Xgd86dDE9jw$&2Whu1fuXgR0RO_=qy;Vlxqu5`-QzT1BAW&d2Brd5
zT?){jO$MKIlEKuzBw&6i5&XwG4>VpSfPwGlz*2#8;D=;9IJ0u$x~z-^!%{JzNAN7T
z^D7Em7>)#ycO!r@I0MSYPlB5G6ALxU$G~uLDA=qT3_7j^fo#4&@X*H}9B27~ah`o(
zoyA^oJlqp}Epi9VPh7#GQ76Fh-5#|5*#Y8bw}F7Et>DJMX5dOK0M0Z8GyWTZnjr)i
z{ulw*I(<-nKnL7frUkB3bx^cR6@31#2nu860p}7KpmJFn*ezWKs!}AtA#O3yvhbUG
z`BDJ9WAXyAJWjCm>l{No_d6rXWQxIh^`0Sj=ru!bu9u+{(as2)f5bR>w3$&j(ZKL>
zxWy2oB@Ah~>x|aZ*^Ki87Z@$;&ohS3Ml+6-hcRNU{1}C!&Wx(?Eev-t1|z#*E#s&D
zN``K$Fay=i8p{k181ECo#`iW{G0yyP!uZ1}WPEldhjDa4jM25wS_982_lCHdiH0f#
z?MA7G2OBrbrZ+a4*ECA)e9>5G@wstx3Lh)xpcJbQDzXm$)nVNz+sLZivYqv_XE&?S
z_8`l*E}V6hCx*pVNMxBAU1arb%w}nt<g><fidhXSs#vDq@32ho5!Sxw7S=AqC#=q)
z4pzj`K9&&YYnJAzQP$NDA6QabzOpuF{$hRY`^OsP=E4socyaJb0o*PvjBCV2F$ae@
zPI)hZ(Y>X3CVd4?@?3?-<z?}Q0eO5VUJ?6fsNn0ZYFN~D9lrQh6AOE2W3NtKd=eO7
z^K2u0ZJL2k7$ICAwgGP}--zdX%y7?l3w%ppGmaOx!eFsAuHoE<Cnsz%y}tu1q}yQ;
zR|o7V;e?mobzZ2cb;U=1yWt<v?l_Cf1KWps;#Grt@T9?BTpr_%om+kIyZL>1lbRn6
zv)qr5xE#Q$9{xDXIRH0V9K>nLftY755X-b2!ULy+u&(A|toY(EF7Z8rTfZK`(T9R@
z=bK=REkZCeF9f@O2*J{8LvgfwC{8^aiZ@>k#kVR#abHy^#)YBSHzgDg2ZUl>W+?XN
z4#mMF1PAR8!Tv%a3;8D)hpGnSyuu^++tMRA^yFd8=ncX<6oc^NeTOhBHxO$)K8W=v
z1MtW{e{9b0kArv*;DfV%*zS!lhIAj+N%6tXj^4O_$zFWm{vI6b?}_CEJg{T7JKnHn
z7oNE4iVsS-;E9t?_{g9GR@Je`N~d??lg-<)<L_<wo~jKV*|rtG@ZW-~&sgG&1Pff4
zXoi2sY{a*YZor>*Bizaac>hvkJo?@M@2Swk90zsqsN#C8)}w(rPOIZ!Sv7pKQ5iq6
zR>c1^bS2<aHc=Sag%HUSWmn05XXYyuDvC%Yp-o9qKP^&JC}d4U_ANq0);lvdQK%@&
zl2lqOX(L5Zq5gZH=Y7uXbLPAEyEEs^nKL}x@7Z&w3P<g=6320?0%zfa1)NkvS<b(!
z+`YIdNzRmmIHxCHl%qQ##8F%+z-c+h$GIN#kG>fDO<i1m&<OIC-kSG`%IzAYas{vH
z;J|bGM!u77TKAa79Jx>5#5K^%MU>8Rs_BuIGOF28L<73=XwB0Ms^5}K&FkW+#?2_I
zk$Qoe&N)L1+kB~M!akbexSbxGyOC~bG^d09M)Zl67QNM@Ko?(-pb7eXbT9crR!Db|
z4?dJ6wdRuGWs$^4dk-n&*C+V{v)J=pIu=#odd`T*VwuTD0-kN3fl8?c9GSZfI%}MV
z#Rlnck8Ty57JmetUk$+G%YWe81tLi6<$R=dNfjBGE<-=sS?KO|OC-}}j|^AsKt0L(
z(aN{J$WSf_oy$Cr&S^%X&joSll;RciH#`+B`Iv<&%<|E$sABZDwG6H0sYbtb2pU><
z2Q|1fq8+;)qEp-3(2!LpI->p@wNAc5&75~g^VoaTp!6B-!(Y)e>k0I!X$tK!nL!se
z@GyhN`IyRNex~P^AcGo(nU*$D=Fro*jL0JiCb4cFGg>Ikh(yh2+CAhLZ4-G$;_pIc
z?;S-(*<YE_)lgv$KT>60c`ac)X4RNK7d4njF)c<UOq=oesl!}$TgsfH%NT7*JtlO=
z3g$$HKEwCSfLX|I#FXe5Gd0#GjOKPz=Fe^xvwSyTZf=Fl$<>I7RO9N6rx|8{>q<uX
z(kkY!jTtj%+Kkc4GiSJ-x|!FV7R-LP)r?5rYUZ}%8YZ%C4Rct<lG%UKk~!LJ$)t-|
zF};>njNx%BrYOydS;w|wL|d(xubo!RY=;%I>VXwgRcXa|Ua?|ae5{x&$ckC~&yo?M
zmdqw^OXiofB{RQb4O3#hhG~7enhDsvnyG8GV9KBcvpL(Gso?T5U~k5ZrL1D!y;#ZA
zORZ$GEEp!r6ERoLL#FjAV63mPnEBUD8S5MqX6UjpBN}MLw7MEHM#ct=3%@?I>9HQO
zG-f&T$8s6dJ)z5Vr0X#JE47)BZcS$IehsGjs~QvMyMz(^qROy#sxT{Cm6_!$lo-WW
z1xAB=p1{?30rTpNEJGV)7{ysBM#^X&L-$HB+A(vP&~j1c#baS+<B%Zp^Cv$u$~%YI
zCd|vkO8-U8B7ac8<WDrz`yK757)5h}KOuSR_vjr@KZ>mCLyqpf=)&JF<aqT7`l9s+
zUAlE21smK$q9t|6O_`v&i`D4FXgSK-P=cbaT}PfjbJ6M5nMmYf3fk6^h!O=ZA(2&4
zXzaf*l$RBZZX}#U(eDl;AFX|;^S}<Im*;?{d)A^V!Bwcwzz8jL(Lo(SD%{_@EUM&)
zp^oRg=-JR1_g(3Otu_zgo4{&VUzP(;4#vR6rbpq$Qd_uexf--THU&-=7J-T%Mj&OT
z*0lbk0G_k_GX84%7SDvsk(17=NSEk7!r2r?h9Xl)b7cv+-g1X{wRI4=x*<|<b&4qH
z3D9Zo`#$|-0nL_JOoJ_Ssos7gx`%t*sW{A<Mg`l`VjpK3Y_pqY%N?Y5y8I{%K23kb
zhET1pFnV4xiauKtM}PPv(9+ms%E?co;+0u+Urip3ExS$+X5OF`A!T%{YbBM|t))*!
z3EgtNj)pqjrTRacsDAWAx>NQsO-_753k15Tmv;}XZ+bx^q+ZkO+%^2fg+XdjGEDb1
zeWDgmM`&&P7%i<Ir^45Ma^=-u^rFQyJ@{vqDm(FTKIigsQa<r<WOezud!hoI%}Iis
ziFzT<szG6n(mxT-MHw-UpXyxBGYxT0xtav$^Fm3kY3Mx8e`E7F<?T`&<LlC#sS`4s
z@m2FVs(<HmPS(nDraa|1iINLA8*VM&XxYeflwZnov^*AaRu3)Y9CBCS<h3hs-m?@r
ztW-r#+_)lV+)|0NJ64I))vm<ZF09P?0F^o69?Be6m@<bqTbc9vmNMrNRp#{G=E~J<
zWzP0uWzN$?WzKPbWzKp>WzJ@GWlr{(633`YiL>B8C61k%66fs`Mb5M1iX1a(MUFy|
z0w>T^fwQk}A!lgiLeAf6dCpx8uAF{p0q5v<InL3IavZB1S<cMJd`_m}d=AS`hSOUl
z&53*=#c`h_#o4PlkCV4XlCx~P1V{dWIOphpb2&DCVw@r$QBKJo5zZb5VNNFy;wUHz
zaxA9!Ic{xpIA=2XIJXY)a-^1V?M9x>Qmu8<^#09X)InsDes-ClPqV*KnOCFqmDm@$
z-|!>tuzye2?HQo`2j9}?UVYSU=L>qpwue?N@1p%ePpRFD$5bV+g@*0DPs<b<X<KVO
z6+L#FM#&HwSXx7M%qnTw!!o*NV+oaPDWt$Wp9+-c&}{ik3WHMV<clP#V3<H3UWlW{
zol!JNA%ZIGJWr?KIoe)!lFBLiQuA|OH2u|X+NAG72hTdvqxWrSyU-fyZi#64DMMO*
zLzkL8UqaLVDbV%mGBnIuj6V06Lnr@ElII2=i0Gc@#5eW<`NC!sqy9poBbq|ej4qOb
z+rFep){zt(Hy~awrAX%GA)FXmfLmql@IrPLyDSE<EcPq~8q2N#tB_8xZ<{b=wrRmn
ztJcEYx%;8^yAb$g>1BA$D+l%@mBZ7Oci^f!ZSV`b4=&370@oe;192)p3LFzd7|Edi
z(+cQb`C|01R~xOHT!9RQSm?Bv8DjHUqnjfekVwmBbo#0by63zbd5RoBMx}>QoB44x
z*?1ZmWdtMd_VeiUuW+<RAqrhHibW@^;?cE@iRkBsWaPLe6<t}8fwE+>(VDNh$g@5l
zeF-l__pEN9x?iQJF0ULFuc<_PdaKcM4>sx_BFNYEHrn&x4!WX!7yUfjh`d{yQNQRz
z1T0$7o<on3U1U4z&v=SN3p!DLZZ|4R=s}_Zy{O9ZC5lq%LxKITQQ+0LD0p>0@_##k
z?EHq1z|?yb<@*7(z5a;qn0-du6ThJ7S0l)N!B-T%b_`h_{DuP0eMbtB<487q0{Q#@
zKsq~qau3Q)qHEKWXdRhC;LtDRE%6)m75ql|`hQS%*&o!WGL1YhOe3SdX|zsj2Ho60
zgZ5vYLA!5r!`(Az<2x?i&Y)`@Gsu%YgHq#X&^q@S<gGk|7IjP`?|^BvM`jvL=l(&P
z)&C&BwBP6e|8E5M{z5ZVQ>gy;BnmZ}L|%J-qQmEZpc|<Z$R>XrnP2;kYLdU9lCxt-
z-}Ni<S~iM2#=jtwo1f9B+b2}R`w^w552JeB_eimP5Orw}Ai<P(sAc92GI4&5JPKc-
z!=o?IVVz!d*|i6ap6^CEd7X%|pCXUOc2v^*7&YH%Ma^XoQFGFL^z~R1+F^4KX~{L9
zvoGt=f5{xAWlIp}XD!;AT8);NRH9`q<*0P)O;r2x20FIA2uVLFK&58a(80nSbVMWz
z4ed)uUr7q86;4JDj)`b2F&^E18jBtYMWfa5B68gyhE~ReA|<zTs5R*n>TW)UVnz-l
z4^c0aqp}wzFLOi52HVh#o&)-*Zi`A}tWfUsDx~?Eg+j3b5{g@jq;_hcacvbe{#72G
zyd{n556?yVT7pP|{)4MkCSc^*VOZJw0&di6gB|A@AgjF!zF$}f4|$})+a<A3ej*qq
zANPWa{F`7+k_jx)Rf5({e6a6fC+L&U0Y;NM0B-uiDt#Ma8hE6Tea{f!JunV?g9e->
zGmdW!Ns+-4UDEDuNpyd^65cb%iNf)4Qk;=Ms@Peiv*`wjYOE#dRriQ`Vms;F`;t^G
z9wy+)cT#s~mb^H{PpPpe9egiI`C?`13mru&cUzSPS!&YW`lWP4-+;O&o6?anh6b)$
zO&iayrG8Z#==xU<RCaPJO`GFN$(-F(cXA&sczKXc-8w?20*=w6h5=Odbr21@9ZXyJ
z&eOxI!>Cn21T`;=q~`6>)MPZ43h~F&bm;`{y8jBTmrJIqb5rQ(uT(1cI-Q2%Ogc9@
zo7QZ}r2(?nsD4{MeGzz_?p$2NJrQ3_a~(>k$;(o@b4MAS+fh#S%_?Y3ZY8}wT}3B0
z)X;>4T6*van;zpMG<PYbzic`5;O^V>t#=*WdiV}~y04zD+}uDjP43dq68EUgn|oC2
zS|b(S*+iQqnyGC~GtG6pPdS74X@>U$y6Mvc+Tiw(PBe3&-a=bXwa}eSEwqNaH#>-0
z=||62+H|p%dgZjzH#b|UW<@LAa-)^*Ol_sMXSs2gRyv{6N*lhl(2SccG+{TFinP$~
zqK91GAJQi+59qB859r6n`}DBkeY*2%Go|BAG{>rmD#kWajmP)s0Pj7zUGFZ9cWj_(
z-t{y-=nnP2P)84(zfJv5acI6Lr3xDe{h*1d?4Md%-Bd#d!mBB<sG?@$6*N5k7QL~u
zoHjkX$>q0{qHi~7y<aiS`BF&7-LKP@hxyce*)@9jVlMT1olR|)W>MXv8C110joN=n
zq4mmFX^c%0Z8?%ilVdMa#p{>oQ5;Llo1*DRYb3RM6hWt(!{{VEPknBL&=Ku()P4Lk
zb*k{E=AK8XiPRD5Re6xw*zTvjy}N1rPB$9#%9##qa-w3l?WwV<Eq6@T^gxFN<yBcp
z<M*@Zfda06<IQrKFQr5C&D3fCeieEtLV@z+%hEv3JZjc1M&tVgY5p)T^?UJ~@Vpr#
zjj!Glm9AIhKvM@faO(l_yIMzNPgjwF?Zw2&IGYU2O(N?DqsRz5n8eE+ChnZ=q<5DU
zY3Is-b4wJ-3nw8`#50Vq?5)F9Pp;s!gzb3Xnh+k^>B{yw(QdjjrJEI(iokN$FtFSH
zCOD+=4BUP_18R^o9RHyK6*D13hIY`UYBwxVInG@zormllu`upyGVD2#1NVO`hAHk<
zaBbaf_(<YD{OtGy_JsAq(>MB|Nd0Gcp>YDPW6!|;$9yQzL<q?yiJ|x}lBgWaM`l6t
zNVirA$qlQbDKQO{uBC%0SdL804bU%Sf-;suBrdfInSQZA9Abse2CYZCj5Z>RH=EF}
zASYxi>5TZ2b|5*4oyh6*9+duKA8KFfg$8`RQGC%6)Yj?8ou`kZz`rL^+P~B2`S=+$
z=^c!Go`)d9oJS8+E};0YVQ6M$1e!U25rs5HqWI}3q_QjqDQt~Je*SStCH@jp$%{vO
zOE07LvIKOrI1!<YD@ZOP2?-raMts&+k(7K2QXEV{8rM^i>Yg+tH9sAV-bqI_doqyA
zOa>Z^%S2liW}&O;S*TVv8|6i0qaEL~(WlKh$hI^G1<dB4V{3DfMMN$ds?SBczU87)
z`8@Op<e}RRdFb5kJf!B8hl&p5p+&p$kgt6n!X|m>=lndhd?Xj`=H#Np&|LIrbuLo=
zor6+}a?mn|9Q0!>8@=cDr7WL~GIO%fe~YtFN?In;nwyE1`DdWK-gH!Gl#ZB)G!)R4
zigwDUqPg2rP-x6m)XhmobBB_Uxj+&+ta1fW!$hQNo`9&;WfW=|kCK^7NN#x?;**a>
zUNh0i>tz%Ys*FS~+~;`AJ^~$+2}fHxFCdfX^GMSy6xn_WM$Q`N&=s#B6qR!dMYZ{(
zsIg<HQ_v3u%N#+Svfk*sxEB(b*@x`j?LnP%C;A@kimIKqqwUgL(aZx!^!m6x(pb0w
z%~Y>L$?L6<P`3q2c3y=JcR`f1&J-nA8=_E!6)51;QdHBSg*?>MQOyxm)Lo^7geK%s
z=rUP!WVaNWjT1-KSOk^y32?t3Ui3<D25xlw0k4FNz`m>@m|fimog2I1l}C@EcUu$m
zZs8tpYp8~jm8DQGJ0GfF%z!?JufX6<F)&K+0t}N2fccLOK(jN>ux%;#-0llgcpyv@
z${NVQf!6}iT>c9%In@d-zbgi#n<Bye%Z@-kZ5|K`$Y$}>{%5L}ww7&SGsI3lV~CS)
z9>p@-Q?bZuf<>fW;Qt={!iM^D$+b~M5|_S|I6{V8YqljK7CVSY(LvHP6F@o^T_Crs
zqsc4tL^4*NMz$K~k)e!YV*C3R5x2o)PE0-ddiOrD_}oUW^FJd`=Jk<-5`$#d>?dOS
z`WvaZIYlgv{3SM*_^8cW0oto6LI?KGrDhqDw6{f?27Q&Ka-s`qkdhJ&*HEFd8cQgz
zq6XC!(x%~`bZPtD<#g(jKJ9ffqDRF|X~Atko%S%)eR>rwh_awl5|-5bqBRYgTt|ak
zY^iz0MjA0|Pi@T{X~Z!nIyZAGeL|gS^J5qKq|=o?dF)PK&|UOa#vW>W)Pr7U_S5UX
zJgG&o7d>cqh%SEbO>KP-)1j|N=+oW4bk2Q0dU4S)YH{c|U0i&EE`H@tm+}Nqb9t^N
zUhOo!yf}~+NC(lTNiN#X(1NRHY0#E)RD~~?`ZxvC6<NV_??5mWR1KlJ&LOlqB7~M#
zgiyt2A$0tE2(=LorHb;Q^zh<PYOWqilT}0MNx4w^QGkoDA@pPixBSfz8gf2_j&2U2
zQ;H$<#+zU&mL5!X9l4Y@m>%7Fj(TOBrBgj;sF%PQnywW@%U5yvT6dZjSf8RztN=Qt
ze3AzJIzeq79H-$?$EeMkqcr@hFFkPSKkhR>LIcZv=yN@9YIN-&#dE!AptmQ@uir<F
zL_FxK^?T@-pj}*hD|eduz?JsAcA<u!o$1|?tu*hw6BT~uNQF6@Xv0-Iy3cz9{bXW8
zW2e^ABe$$*?(Q{olduKNEnG!w%otkI258I{Q(DqxL^U@U&{?WSUDTG*!xwa@#~V%R
zVW3V+&Mc<-jf<!hpAwBh3u(QN9Q~LgLlx`i(d4({H1v-sos|@(NL7H^FXf}h_WmUo
z_x&Ok?&IX;#t~9zG)#U=y(3FLz97eIyU5lvZA5<610pfmK#mttlDVatjQzPuo~9R)
zL#$lFYEL7PyRVSQudyU6Ac8FX7fkN*pCJ1MyhsX<E76*=Be9>jMwl;*$lv>#M5}5c
zIiEF`D9HT7{-1}iLSrko%)W&`oJ+=2j{>mqbt_CR&%;|55%zHS5_Y_Wk!dj}kY%m-
zo|PxA33m9nfQ?S!V7M<EIBzDPxUv&`pZ)@xllkBRHA(m@R}mhR(T2zTjbTQs1zaF$
z2NNt^;K2j?;q_B~aPjFgP_g;~%*l;{9%1oNYF9F}(#wGL<GIkKv=El;xCwJ-D`CkM
z3<Ff|z&DwVa9pwl+Mj5LEp1(JM*an?-}VOH2p@#WMIWKd?NQizcN{k0DOj2_13PZ>
zpvuK_P{&yTw7gpgom(u5-h0kPOY$Yqk{9#PZ2=j?uPcilST8`Ywl74xJrt4Jer3eJ
zQw9C8Ta5k~tDz2Q4HWr76TPq0M)D_g(W~Xl(DK*I5&!uWh^1nH?pGM1L}ZK#i3u9g
zV<Fo#fH>0-nL05jBWEQV8eD~zDVrmUjTUH`-)i(UdJQtoutZz)tdM+`HHy5n7G?Uc
zL#v(EqvKr1DXdW&lzGDz9dh5m<!>WOytWa&H?>2r>g~{SGkf%{!X5#|O=$YmCS=*Z
z3C)vtKt9e6NFl}n+0{BAfgT40zBr(7KOK<TB$sl-8=rH59nf$bH_g=nNh&*_s_sol
zGISGC)8OKcJz8jIj|4jH(C|h(^q_7ds#4#GvO_kYhuyXaF0w_h-EB}y;(D~AVI2}2
zT#I~WtdZSZYxF_d3R%vxM9%zckn@-Yvg<HMdN<6F`sr23a`j4-^ba9e1CixkfF266
z(1$z|6m4pZX6_my4Qm4g8&)7oBRv$HwG8#~E=9raI>^653w@u}K;PG>qvGHtNRq9J
zoQD^oVhLp=sjrBtY!{-aoeNN(w=8;iR0dfdlR`;{B~kVsaa6oX3_WCtpm_>HD0`A0
zRkiUUkj=wA6FUQY_WgqYK2AVwk1-h6^%<t1VYoJ>AO0QbgVL}UJ`3uCJ8(OE^rZzp
zTF?x4tZaa%TsW}yzgp;Ut^%f9EQRl)3!!#o9{duV3AK-<zze$*;Yyo0=&(Ezex7>)
z>UW%hLLtYXrtU%b=J8JGa&Qau;IV}*3Fc66u?h4k(S_d)Rbdia7Is20=udgz<gpPT
zdh|KC=X(!4{_iI6^-TfSj-3a2lWt(;JR|U#B?4M|@36i#Y-4@gWnrp%cBJ-~QXISK
z(>wNohK2aRw>5Z@&j+iVj>3WcS$NW<3J;uofb$Dp;mNu&tniMPL_ZTF_Vu!)K0}2_
z9o8Y^D~!m;p_L>jdM(LOb0CLHT?o?fAo_7Wq<i=TanU<RScVtK?xu_6oLwwg({`C`
zvrHx(<!R)EbT+9xbdB7{g=F_k30ZA&i^zLallNhm9Ll^+mKQgWL&Z(xeda^5JNz-Z
zzxOGrH0&lDC!dq$H(wEc=eI=S#{ju~eweTXKa*{NqvYGbH`2HA2dTO^MY8YzA?lN}
zq#>Gz8p!g|eOKpDMp}TDh6&P???O~$n+SbeDN6qd&84YZ#p&sE33}~?B>gEVMSabr
z>HPgN6rZ0@J=0{VXt5kkEnh%I%jBtN{z4j-pg=DLC{o{TN>p^2GIjf{Oat#MqGo|A
zw0wmsC9k-$@VUjbS78Zlzqy3E12q~%)u_3#IxQ$rr{NMBbmWKzZM&~Q&Ez!cdUs7a
zlCDWrIyET|j}{Ho(4zTkw5Xr67H#y<qU8s)s4kb<Y}2As7FyIvjT@fTq;gL*X;X?O
zwb`Lb%VoH2G-*&-Zo4{?8q}yrof<(d?x|5DOEv0wdkMX_d<k{Dx|q)YtxD%RsZz%R
z6*~XhB5Gu`h(14}OuytQ(bOl3^yd!+`cGPcvUL_xS13<=Rxh9{E#>IlRkGB<U_KRI
zBt!qsk)~@0=g~(TN%|;Og06KDr)w9@rJwsm>DnX_dTO08jhzsrr&0yzdB{&=yZC79
z0bW`)@{eTyogvNwe~2aT6tNqhAlbd&h=27cnGX9*g6%$#@1jE_`p!F2?e&@@iM%8}
zxjh8xcM-eVC*+RNWAeJ_AxV;LCU&Rq5{2h=1TLdw=2R_-Zm1;lc*;pOC?Wob3W<91
zHR8j`CJ$ex6ZIcg$p@h;WUpL2Nm7X+AJi_A5VZ^B<f33At{XtMO8S!HBL@iU-Y#-K
z-kBWVzKO6D){)!K%*gL(Q<At!kFY*#kXH%HL=DIi$(M7<w*Y>kz4RCUx$6Udcew}0
z-EGE>W7XJKDIXizCgRk9P~79_fmh<yc)z+TZZMc-HyBX1z@;PXw09k~Pa_6RDlaW&
z$r&cHt{;EK3c4=_rsy)zn`8%?oR0v%vk@Tw?o|-@vk>qs#9&1CAuwCo3wRfP1S8{9
zK(B8O46YV~*&#A8%2E;f|6T(1@^zv28bess1);$9)o{3dJ=6mZFe=d*>b=_u*DUgc
ze>NV5MLx&jxu8JEXBGl8YA!&I`bBswIvO7P6bGM}CBVheN$_BM3Op#B0Zm~xJh(d#
zE;w5Nzg{kaU(-t<Uq%^xak&B>J5vo4cCz7O6ABme)<KJV^)Mme9?Vc{h8c|y;L`1_
zaA*HxxOmqSXwuOEn^@h@JfQ~;zUzgz)Luca9k1cwg|~3$wSIWCW)PZi-oxwFAK=d1
zPcS0n3tYT)6uwX#gU!#r!C#@{@Yj+bkgxV9<Xbrf=hpm!PgMWFo#&?E^`|rN`ux8z
zV#7Zej(AY~Lmo7;i5I0k<wfzfe5kRG52@(RLFCdL6#jJ%DqqWwWK;MN8Q@3dngXcN
zLjZ}T380`B0VFprfJS8m5$_5?<YXy`MjZqZbrwW}Tx@X^L<_70(NcXulp!mKcKr}Q
z7at2C@hk!K+e-j#T`qv+zwo2gdHiT>GndZJL9ATv`oU}tQtRPE3lH$2y6?Pbp+7HL
z{(}cC^x;A8IRD`O#J{j-=PX>bXa=t8_ybb|e#3S1e?g=CNf@U66JE-lfU6|OA@=(Q
zpFjKxd1ObS+qN(8dCVv1hCe{h7w=*J*dP?0>4%fEZ(-Zd*YLpLD>!oh1?<gv4o7^S
z!Og5L==S3&6fJ6pWt$&!!!2-r>;tH++zeCm@4?e*4NxSl4!R0+;N2q_YPHqCJhdvA
za`YDbL2g3jKR2L^Q4y5cUjSX>^WeYgY`C&31AhLT3fImg!#JTUuxIXN=sGtJ{wEj>
z|Ne=9J3e24=et8-(y=peuklH^cf=Q3rXPaStM|cq@7!UwzcUOLaD>jWwoqNd3PxRA
z1*2w6;X-eHc%@4RE@Y{}b4g0jdrTGzSWCi($->b2Juk$2Cc);3k3c2(6=)Q02LrJU
zz;9j^P>C-9VG=1|GCB&hNuLH~;=6!~m=zEe*8%hAOMq1CVOGz7w^+*VCs;ptL|H%T
zCrz5IQ)&kWOxZlu@oe1L%+`MThyAm20ru50#Qpm=;&suU*llAl&bN-mfd*-KM4}Mq
zzplb%84cX@HthTP1-^8082gToW9<45*YygJzTaY`Zk{xWQkEzFDvOAooI2^_)g^iZ
zD@bsy2`N6ykYKc$^nF@OuEcC4dP_Ew=^M_ZPs5$qCGI88;|GYp<zW&Pc9aa`lcef(
z5IOTZm_!7fCv+-|j2^m3cJ@ROFBnU9Ub#e?hA)#Q{VT-gXfn|)Ng-yh(nup;CXrp7
zP0~zriLB){vVLs=akJp=;TRN?H2D(ZH(5$}9+i={q+6tMTO|>bs3uOF8dAQKO;mqj
zQV>B2ulQ{ucCn6({JKNPt_C7@`!1OhZzPwuHj!Hi&BUwuJ_#CqK;*<)$lOJ(<f!H&
zVxs<-EM3q>y#BS3roMLKRQ`mRpL|Mo8h4Nv!yP0eu9KWu+C|RPb&+FM-6W!+n>;ai
zModzk5jydVL|FBZh^QVyn|p}OWDikQdQQAp&&lAr=Y-llCww+s3ZIj9mFL81x`((w
z?jgL1Tx{wg={!ATu<#javU)~zpLY|pUEPHDbr*4W=psR+leo)w65hid#EJcs1Wi35
zWcd@KvZI}p1+|gDq{qZB{}Ca@twgq<g~(ogNZQUlAhNse6IqjHLU@}9Z}UBJ;M`r(
ztKUGJUfdzQ0d*uu@-~Ujq(oMY5V0IK37=m}dV{OU$WSHWSzSR!u9TCJcQ=WdMkyhC
zZV>n6BGTS?ofLe^CpN;@xZ}trHu~A50A>>RmFdI}q;mPXO8k_PNF#qDX&jCxe)r;t
zaY_uCIuJ!v4KI@L$uM%D<~$iW5<;BTo+V!Sr-;|D<0NQ}FDVH1CgsGF9R09|49;~Y
z-224|pP3WcVrx%++1rqe4OYZ-wK>UHfyl81CWP~A1zFIoOD+~`kf8uoVr!{LEQIAq
z!ozvw-~}<#%m@<OF&?sU)fCQ38o^N?`muoVb1WJ77*F56i|0+(;u+&oEa;PqLvoVw
zysl`xoj-&tI{V<J``fUp=4#v&z7$V=lEu7^Jb3P@XY4IIZm>Jz&$9V1XtQ@%6x25S
zSZ933qrx;<R*$88ErhjJrIZyH+{60Eb#(9RBMTf4=z?pT%)veNEnv}*7r?P+fcm^h
zkYtw#g3o1w>1&0+nNtC#8#y5APBW0a@dSYI7eK&i5JX9E9So95Fss7@1HSUZ*<ukW
z<t71Z_+_9}{sQO%m7qtHDlD<qfatakMA~{#Khh9RyfK9(It=viGKcl)me8tk9X$DF
z0}L761gpO}!JJ`dSpUQodX(;h$$=iwWz_-L{rwOWN<9K|4UfXvx)bmda|&9Q1VKZ=
zV0f)O1U_~=4^u}jz@O*BVZYc#C>kFLQ|CrQ&yW}x_B9r&Y`Fy6D&pY*p#*5QH4)0D
zUxDSlNzhp0DlA}9VDIi!D0VgtHYTJ)+3XA`do2_8W@SOugluSjCI?>Ll?%;b9!wX#
z26elxL8rug$h)Bc8viMPBRSV$uUR1!>n?<TyNjUlP!W{fRSXYw6hmI-2AoR20o{Mx
zfT~s{&?&kEPPLRkF`iObu)GwyZ|34iDGUlJg#*#0Fg~^v`h}OmH2+elva=M9tSp7H
zGNrKmT?s5GD1ifeO5mhy2_$!KK(qZfU>eU2n4ee-%N7+w&)g!oNT~>>#udW(zpq12
z*X!_FO#yr?Q~-ZE=0o2r*Wjurd2kV59=x<X7jAaUftL<vL($MI$a5(ZmR-q!I*I9U
zeN-AWKAj3j_NKt~R#zd9N-}I5zXC~pB5VswfI8Nfq3GXB(DzmxbaRV^{k$=dhpQ(L
zMUjxFEduttgu}9T7r1lDd8qR`1U}y!49mjKK%O0^;fUHvI5}_(uD|LF#a17N<lRA7
z;O_~8_&lI-*e>Yw*A+S)*$$1LZGr2J9AW%LI~e}V1_mjtg-4y&KpJBPmr?}H-<d+y
ze}=F?ZUs!&S_*j$wP3l48f-FBful<mq3)su&_+xKs!mA2-e;mPy-E-c#_+-2jWb~5
z{vQDR`vTN24}xN)SKwi8CkR$;1rJm20y}X6sse9;HN%DA&&F&JS)L3cCF4MmPZ)R<
zdkXBZ@B+1C+rZm&YaqPd7<?LE0$MYrz*SowFg)>^<-d)?n!cOD8u9UAxgFACmCZJp
zZiyc?@$FEoeLmV#JHKlMTbuVdyKW|(-Pd2ojw*i3zIcNNC-_NW3!NqS`V&L!wcip?
zeQ?4~&iims)p2ZjCKSWuC~TLXfWh@NyfGsWgYX-;*rO5`8&TXhc^7{xZNXVvIxzU!
zi|bCk!(j3Q7VsFu{tc5jN&GJsF5n|d-2a=m4@Jl`?jZlR%p(S?=943Z3y8F^A~~{a
z5edDyn3Q~1Cs&thlTWTo$)->}qM2ntj+7gd+*%enQiX^?!7B18+JbyKU`cAhTJm>x
zJ-N%?K>qHxC$++k<Vdy?(bU~W-V|*o$%?MTKGdB=_w6DYx_ilC?|lU2coL6?UR;B^
zLqu`HhrIc5gmi!MCEXoI$(z#SL^05xd}IQM;@Bx7loUuxmY*Rt_$+Zy3?_M9!Negf
zgb3@0k{?~6<gV{|a#!#I`H^&itX&jF9%YA-{}jTBYg{;SoDL`2dm@NPLj-xZ;37%!
zx=36rFA|xb7s*}yNOEd_Bw3jlNt9_M5qTL&WG1)}h$3s}MUnIKqsUvSD6&I1iU|LT
zB+uSOlE3#N$=a+)a`$K?`Okt|Unr8~J-A4;LM{?v<BLS;T?EMuiy%kTBgoa;;Y7(k
zoXqxykpTBF()#KGX?40la+}W+O@s3!G&z*i{0t!__8}x7H<%2+I!CI!&XVF!K}2C!
zAQ5aiMJ%-f$n+_HqIdT=shT-T`j+_-yUqWRDj)9JCCHluha4nV0uPXd-up@2CJ&OO
zyN6tv-bpszb0Z7S?I0Zn+sVRLTgjS0C-O(ikzC2PC&OwR$--<KQY6KdzXGku^4F`$
z9}{zOB77xz&<=^WB#VIc#>DxQ0kOQMN2Z&X66bzxQv6eceCJam>Y}Q|UsRdw<yRmd
zrsPP-dl|C5Z65I{7bkb3MTvrk5YaQ?Cw6?iB<;#H-mLf&d!~NHVG<uPPhdY*dG`{V
zt?I_SiEX%i;6Aol)_{ZlBiN?25>E}5;BdJDY-5#$%@1G2w-Vy9ZFM9T?+nG?pP$6V
zf`{<1z8fyyW{>+$Szz^aL)=HyadD3v_MZ^O;i{8t)g3R{s%dxF;qUU;O}Y{6itpRl
zTk}-dg56JRk4ae9emqHxW4<3X%~bke8oFASwW)nK%QY>U<w~!!-ZkH4U8wD2#l=ps
z)HFrFpHp(+#2qyNe&~ZWie^B-U;_v?*$%3-_k%3aqhQ;Mv*1W;7_eRx146wLKulo@
z5bDbUn*<7gka`J7Hmv|NE7<_D>Oi(eBS;c#0X{F=fqHH?xU=IWuoHL(6!PAKVEr$k
z^VT<TXUQbEabX%{dh@{D;&WhTp#YqNgrP-~D4era9Nw>&gu4x-VNu$A_~(xtEZV#f
zMsjtynIDwldv#TKd;1cYd0rj9&)0+!b=q+CV_o>FV;QV$)8p3Fhhv3?@NBp-T;gg9
zmuUi6I1Hh9CId}vR>7yA&EVEh3z#Xn1{Nk*!r!9SFfm{)-0*50++bt_ZwK4LC5;>4
z?>`&iA#HoOWWy%7!NUQr_H~4>{5Es%#d3m~PFvu8qpeUvWE=d`xeYE)aE9B~Zigqv
zw!=NKF7S%#4p>*T13GKE!r>HG_~4%_JmKmFvr62c_cu2vpz977Zg+<rr`_SU1b28Y
z%N?G`c88KlTzZb1zSAB4G31t+;g+RtaM;HUUYYL(qbgjXouw-jXx#z(tarf9S{E3l
z>;eT&Z-)yXJHu}>&alsM8{8AN6&9CmfqiXGaC%@f6!_{0)yEv5!0;xh-enK_YV2TV
z+(uZua|0Y!w}k=&>tSEgI=IGSEsW~7f>oz1p||iFC=h1>J4MZ5=h;=z`7;Bf>=67`
z2q6C-Q~1r&1cERlC~(IB+KsJ%N%DG75G{k2TXbQtr#6)I(}Z=$)nSz15;*Ot3Zu3z
zf?$;r>{C{N3x6%(@+%AbQf1(tJyI}ui6q?fdM=z!5QUv<grVf90Ia$^2M+7=!kbrS
z!Oyy1;M(g6Fn{7JSoQA{IL-SWcuv0sWg{;^{<CLbeeF|_7WW9m@463ybnb%k5f11r
zss&T-6@XW~6in4z2f8k~V01Da3|>kGJJm0PTh-AZ!Xg})KL`dFll;NcWN%P$c{f-V
zz7-rlX$w~GGY7BijKLp69WXq95g7g<4gPcrfoHpav)(QkWS#1G%=#Qx%W~bA!@4FO
z#oC{9fc4IpVXb{7!RlVnY+AI!#nfuW5|iu-q1t0D>9s@Q6Sb<*8f>p+j%=^eAa<|d
z6?S|<F+1O=o^5uso82b)nVshLkKJh_ilchx<4zY9T->IEeT<Cp-WW5y{n>gvF5!e@
zfIDv4d;kl&`{A5zf%tq@D3*?lz@>*`u!H4gyiY0_$39ELt(UT~l0`n&A1=aDAvf{i
zd6n4eN-aj>96Wov9>00rh{uf{;x}g=<4v5W*m|U!TlWQS(0+|e4g2vkz4zE)(I@=q
z-w6KE^$q_``+*&te&NqE(^xs>AI?hPB^{1)NQa03QKN$7#9m>tW{xP4%n&1b%f(4{
ztpte%^T^3cDI%pVLqcQclh&`Yq+#6x5}P7Vg!{RBK8qDesf!XRjZ`MW6^qE#Co06?
zy()1SUrZiNE+MDJ)yR(b>g3ZC4KiDyNtB|sNP{bPzE;yAR|j>-Y^pA?UbmDqd|66b
z!<Uga^2>>4-f}X#SdY9((Iex6E67Lh6-4Uc3Zkf}Pqy#ZCpp*kiQ-#*GA?02ZkQO5
zJ5C1VwU+@|al(KIa_541Tw6qcPXqE{lL4vL=cb7mkmz20l9a7arro(zMxRtStl+k_
zf`ss{Ac9GH1gh$h@7#U`l$Vo-amxt&wUn%ISxUMpbjb`?UhlHeAuA%a32e|JAI3Dv
zodufY151NMJE)Tzd(_DIp(RA{@M7X~K$WQPP$7EOi->@ZGFQK;MATm@5Ky#`c>gC)
z>Q*cudY@#;aQb|%&vzN(JSs(oqvw%2HAx~+BTghO<`RKsQ8H{PLi%nCamx#mstkVO
zJ!cNtvyYef2LHofmd)Vj?Z0rC=TE$O;ydm?@fBYh{fx_Ye86FM2C?VDcbLb!4{xsO
z#ct!>*jKv)uiDy%-A=b)ovY1wed%3H2-nSPJ;CvHHF%`D0>>BJ#BG;~@#bUPTkjon
zv5Iyk7W<Qed+%St1F`W~#UTcpiC@HK&FAsaiL+R4i$8WMJB-u+?ZYNEZg_FD6aM<Z
z7XSLY8b=sFyk)08z8<cHO^O%c7cH{b<kMVC`T6l~W|DpU;1GLtawl7&v4Q<+tc<-|
zF_Zm%Z8W=k=qOuh?Iw0^#Zq>+x-dJ+s-^a!eQ0e^>u8OINVW01Y&FwurYWYw0dGt#
zY@}I3(1f*1VmoU|(`i=n%{Z3Omu!}YLIo?v^d2kJyo)t!G{mx&{mByf&IeB0i-CLD
zGN6A*5f~|}10LIDV7<37Xyjg7qZ4igo}bwW=6h`csg`a)RB9i%_rx3YoH+*8DFy=3
zEg@i$bQtJ=a1m@i5d#_(;z3$%B6z<3DroCS13Hdb;L?L!;AUI^`mYv&ux}+G)vO#W
z3ate5IW<8069$grx4{?9dQfJ352Tqk1D@p%LH~kBVAWI`nE&W0@J#Fi{hNBgbDkG~
zyVnBpSG@r`E$_gkb%P*~yaywTJ_6%_&%nKD1eEiSfdSTcP~biR3Qqh4#=%p7_snnL
z?lTRh>}J8yCI7&k<2-P$BQLbq;)6FP`JhJq94HmS4_g=ks4*r0Po@jP!xlnN|BVpW
zhEN!e&k=!EF(O<8AW^6pAqs{5h{BrvVo<+T47O^`h5Bdb!k9KLl@o^n&f@URWpU`y
zEDnXn#o?v}5>Uug0>;=$K$o2oP{~UIYI;k+O$Q`k16RJ*+#mr<3?*QI47bdvI81I3
zhaY3aVaaB3SR=)4qjfIK4V(*IH0Q!lZhuN%VsQ4aD4dNGg$?qeur*x-D#?pL;W%Nq
zZ&nBzcnZNI4+Wu;x*%ju3BZX5{P4&;eki<o4vdZEgXiz@!rJdV@UH?76g=}6MB^Fo
z`r{vPL;N?$(VPO+#y`P#(+M!W{5uF<I0ia@kAUp<&!98)BT#T12L94RAgR6|D0sXD
zduRH<yqK3DM5-5Tk9`KL{&fPY15d&D{Wf5~=n)V+{17NqHG|jR?g4wv2B7Fv2a-=x
zpqR)8$%WOxrKSSZbIQPBP6?>5Dgrh61t2#r4}|)0cPH#JfRuVF5c-(}KGr7yp|DFp
z$|?rT&RztXm0=)sPbiR3I1BE3odl6(zM%5+LGWJL11wqZ1}YA11uw(xfkoyzU~$s|
zoMA(-g<}Ys@ltT?mO8M_R|eM;<-n73l3=lyFv!@*3m&-sV0~LK%!=xG&gzS7VL6*|
zSW(|gS$cU{tj^8xtn7awtnl3jSR?msSv)3sto#Bgme}ggredorOfM(<n*M$|YZ8CP
z*|^&OL5)(ymRfdoUaiRJ%UZ|tBJ2zP8tg?5tJycD-PtlEfDP26*bCoYWuJ&EU=J^?
zVprh?_7$Ucc1Pwb_NyNs*^w(J*_wnGOK%Xy0UZ)J*G?8&-%-RR>Pzs)v)VYPO%E$d
zo8X!a41RNRHBL@mheM0(@NB6Q7Rq<Qxv{(Okwg1&EA+;izkRW0u|E!7AB4xg1mncg
z^Eh&UIPQ>(#0wjuan+tUEbu2DS4Adb?|I2sFD?b!%}M88X`PAfy0WpJULJmUE+5}{
zcpdu-72~9pCD_O7CKik;$JMzNSfjiO->9s?$)#*;l|k^0P!87ERfp^K>v7j)0~V~j
zhqv!-!YxAg@%Fq2SkSNqch$CX^B-fyoHmREp5T^UPr2=MVEc(q%rzjuR&LL5eQ*!1
zNqvs>ulHij!WY;&<0XC@_6p~D^x?NAukpn6YusJ?2J3si#X_R*a82$z{APJS?k?-c
zSJemb`M3f6X=DHgm=9vjh(WxmaS&hqF^Gi~hOo8q5T0E#guB-car1{TvwR3^Ne*Fy
zVQzlqApU!F5KHR};@qwQyy@5gZWS89`!4t6BlG(4#QAsJcHiPs+qd{_<{NIE*Emn@
zHGaFbkE?Ebg?FUA#GgvJ{8snkeHG7f?zJAgDf$^c;?<33Q5Ux6@5I(kPq}N9Cs;|l
z9a}$sjJrJ_VWnR!_(<?W-1_f6*7tA5n+6-P=DK@WD6aueOx(erR@UK9K^#0$MR3Ug
zn>*%O?4eVQrB+vBDaTv5#-$9q>?p;XoNnMxRz+BI#dYi<m5-B0a<O7VHcpPo#50@I
zvAs+xj&4iF)gf2#$rTA$<M}0A9}tVjWukF?(M5cc6^^U#p2uBlL$Gb!8N4Md0DB!f
zhRvOi;1~J_@e7`P*!;mxeCvV>K8Cj7C!g%`;shIf(8vm3Z!^O$c0<fJYJ|`D>EVPi
zZG6#74Hv#v#$)#KSe_$|?=KO@zr%#^*7v;laPTiST0Y7?`MjU4aju75z4#H^r=gy0
z=UUCqo+x5Rhh?%q%uitZ<b<=2?(k>pp4!D8xVoNAxL%dw-zu=fh56aP_P(s;qouXm
zmYuEbTcB2}b2z?+=XRp;y`dK-l4zZ&bz!{er>k|Q(#JoWI;M-U;@&T2IVb|wDV9B}
zcJ)5i4#U%|)j}6pkslLSuNpF0MX^P!4x1|0`>8tC{e*|C4U4*1$J1W3ehYkLE!jKH
z8Y`P&b^Ff&6VbvzKUo}fCrbkqy8w8cQUWDA76TVUP0;#J7tG#U0VV>CL4Xzn-S<}k
z50^Ed<?UK7-N21+0!rFjz}qw1!L$2rAaBkdu-14#h}(J)D0>|SKfL{b%$^fKdHpHy
zNaYNuJRS_xHiv>p?F(S_R2Ue$69HDAiv*D%8r=UJ19o5G>a<Ma!N&H>AZuqL$Qr%^
zHhLz5qSseJ<;GNSyDAMFm(Bpo4rT%ib{5z&n++B)x!|R59@vm|4cu<b2k+k&faBxW
zfy7K97e(Oycrl24cLVS@mjG5yDL8)gCXi>!!0|t2;Nq=v@Z0?sSi)BU3NtH!seUCm
zOSphl;N`6<@O4o&5Wi3jOy5<5gGM!A>zNvmd8Y=9O>&`G3kvOOfw)gCSQf$!$8zcA
zTCgjo7G#{Q1*TryxJ@lMySNs-{8j^o*fqe`zXt4FRs+tws0OxYtHCjaYVhl36<Esc
zZ|?0%U}IVd!iy?EkW>XYdh`}(YApwHid=Y<fu_8hK=oxQ&=n~K@heKedixu|ZC^3)
zJz50%PZo05EZ2eGp#m`AoDX<cT?48Ld0_Nw4&bfJ23(^pAZC>b3TD$m_^mWh?v@JL
zc~d}dPBQ2PNkFwV5x8$j0LH!Xz-j9xAoe&G5GDrj7DRyop-3RMF9I~uFd#Pf0x;el
z3P!Smf!N(MfES$xq{ttPh#dn1`~CxymEOQ_>HrWk*ar^m-VFvWxB;iU?cgYT3kYv^
z05*>{0{U=0ICIAeB$Qf!UkNM0Ek6J#S7#|FuMe8uE(KmWT42;w4LC`wfb>QM(Da`i
zXqS@)a#$RgZxI2bU-&`LSsw6W!7tVs?J<_E$uR5J%Gaz2^KRBH<`Ij}_#Vqdi?D2E
zZ?Pi&U1wb%%4B_QzQTHv6V1967|N<FKgv3>e>ba0-k#;%&akpVbXaQ)7qEs0_*sU_
z-kY+oHkdB@n{N8|`w`RHd77pVZ&4GA_1BG0pRljVs+p>>9kZ<U8V##$?<%gP1#Pvu
z9^Y#%Pl>VxS17SxcP?i?+-J@%e(S)NT)USYm3E9h>mAAt;E86>MklhZ#WUDf!}8g&
zUrX6XY--p{avi(0tC=l4r=9Jf-orl6dc)3JIn3T~_?0cAFv-3-G0Xn>h7X^nf><P0
z6#v^Qfn8;#@#$7s{O`m<94D`g-`!HhDdy_fwOI>aSiKaptM%|rWkc+E)&xK91lUt)
zC4TN=jvJ%b;P47-tomp@Hh!@IH@>pRZJmyI^PMfYEYlh59NmFc7<W7}wF~za@5Skx
z_G6n52XMIGAuKlPgBxA{!v}8r;WWwPm~iES12F+OzxFit>k7hQ{b#YKUob8^6oN0g
zhhl7V9_y^QfcwS6a6i|`M~5AbaYzKdWPK5r@kQeKgo}ew*i$MR<BDkPW*dVyzly=@
z_r+qf_pvy9XB=*S5{JdmCA>c45`I2;347Ya<J2qh*ta(xubY1v-&=nfuR3uVm!)0C
ze)uvDYrl+B`z~Y0!OQsO02eR0;YXM8y6Vf=DETt>_2tI7a`y!ZZeC|RK7A=3ud<HE
zjuV%#YuY8uhFo;S;eUJMaOy}b*8VRRyMB(rJv(FYwMWs|(;yl@z7&N|e~843KqU4I
zxrkGnBJfSV2<(c&@lWqCyeQ=YzHsL})_xm`MgD|fZOIUPVNo!C>u?r7a|yybww}g$
zYXk89W&U`r&~g0tnIC?Z`XAQXd>Au4-ncc-3+qEqT+`%%XRY_(2F^~LtLcXIBVF*}
z!EM;ZWDA}+>xi$`+vC_@8}KJB8$4mZ7MC2h#8MY5utvfv{P8NnE=epL5M_+5Pa5C`
zS3MjHmSP79ZS3$y9UBxc#tugoVd3S9IB$3XK9x2f8`wzU^WVksjwDg6WhjK7wamf$
z+<5Tb&fjeRcjIiIPhZ&8pNH5<?_aa$z3gH8v^-%eR6JxCC*EZ%_))fxO%;2dLMb;t
zpIv<;lU;o%nJuVxi4A)q*glcLY##1s0lNb%U^_xbn@q?J!z0pjkfV(<G7e@TZaVri
z>Wz*_pGR+($0G-uOmuhO4P+S1M%U7t(0q0W3hR7>CP%-Z10uhXkMtZyBS(aJvwR+N
zl_SSE*eEk1&()ZF`*fMWaeao{CNnB-##~RgVs`0lVC313Oo!EWCaQBMW4U`jGc)SV
z)C3-7j)<J%`usS@_)4E=HoAl}+BuO7|A!dn-ST+m_VGj}g_F!2=S$<ZpUEtX&tZh0
zUt@-p3z>#}H<*l)n@qs?EoKX>X7q#E%-jc*`6zyeY1(p^$w_Zwf(9Ni+jSl>#=h;$
zJaz{&GTY5OwCZK@qhB$>oo^Vog#!%O{hpa$_>uWG`h|IHJjN6Sjx!hT{bY8F{AN}<
z%>2*LdH4g_hEX_#Pzs?GC8a1S4XO7&iYO^cB&4FGl$8*Yz4zXG@4ffldwuP__ulpS
zBi`ThJm;MEx^^vz`M2w*1q*YYpN*NWn#=6f<6z2v&-w^bxtL&O9_IJc`HY!AFY}+w
zB1UzLkEy&Oz^qy#$b>csF@H}kVJ@+XFgLT7G5gg-nd;YK%<9mUO!$^n%$yks#=>z8
zb6a%Q>C?83sXZ&rNY2~9L>9;}teUf|&ySm!yHRq?L4~bM{q1ecI#+onT0()D+q09o
zY{oG67l6?yQ)C*o_b}4mm6+Isy$pw<Ds$!GKIWm98gp1mooOCC$ZW9EVB!T1GxKIW
zS$6tIna6*$8LhNqOzYm`%*N+>Ok#im!!2vbTpd5jJheT|XfHKp+8fU>n@*cB$!w;~
z{G9WQ;{h|~`J0Q(u`qL{bF1a7hscUab-K*(uDHTnYqw=yn%FbPxg418LPuun;cHC#
zCue3+j0>Zf<jQ=taAS&gyEA9`J(y*WJ(%$-PsY#3i`lK`&3u#gVTynIFebyk%<@z}
zX2RN^@mCID_6P<t-=79DCAC4!Isafr^h5|VDHF;B{0n82#=@8%>ETT2l?cXEHIflq
z62(lth++a8q8a6&80P26Sf*@K9CMyEo>?&&&rD|}FhTZ-%wDx5=9fq^Q~o-cxzL=#
ztPD+MW{lF9;4SHl3VR0gdpd)u$jxNT9J3hlgW1e~qB%^+yBtQfEtmNdp2t+4&1Wud
zFJM;9D`almC}ctlikN-Q#mrxg5~gZpDRb##DI?KY#@vi5XTnS?nEeWs%s=ibruudj
zV_sa%tahzoZXKy*!X@e$wJ&wdoSu57CbogGFl%JiFip(u1<g#vy=LY>SqsDB(aO|n
zw=tHI?TqC2cIHlB2NRjl$*7xmF|3N+Ox>a$#_C}Yv$nFAx$D)(MCtZ32c-rWwqFBG
z{oo*Dojk;>vl?dZ?HOUB1xA@ePez%!HDgSJ?>KW=e}a+PFv;BiGs(n^Ofed1(+s=K
z4AZ#xKgLGr1|$9a2J@iqCKDTQi_tW^&2Y%xVVdULWv-0hW!7ijV;<VxXX5rfU=A;R
z$Z)=T$TT-TVr+vSGaF7nVIFOM%EYrhV~$KcW9H>NXIielVC)XOWMr1VVjjPF#U!-6
zX0*cIFkENeGOb(RG4>qqnT`LwXP)GJU=p1^GDi=6Vz^g)X4>9=X0En>VPqq}GEYsu
zF-fzx3vI3+49~3}Onc!^#^L%eX49<G^qKe{Ci&AJMyKm9Ge71ZW4v_^A!!bYaInx<
z3l<umVWHyPtmL1^O6U05NXdzf#2&NJ&x3Pm_FJZMF?I^}VJEZq?4+v4L95z1=&v*<
z-HhO*>ff9cZZeN7hUd`%c`lMn<sw!tZn|sDP4zdqDO#C_E*J8UhTwdXzCNEgp3SF+
znhR#}jSDDVoR{qUc}eRNFKs-rkhr@R(o>m5)E>QvlK(9t$Mbx2Y>bcOcJdQ%20y*z
z5uolX0+fD7fUc`9CjFAdw0(&n@w*Aq+ZTe=uO&p;4MOC;T9{4-3DeH6!X$KR34QEY
zLc^PuQhwZ0@@5qw<BKAMNf8pEW%M;`8IAKUr(*l%<bQuTol_GfrE*acTP8+7J;Z4G
zwHTG_tf1iL6=b${C8>t4q*Xsw(qAKSy4f#I)mv6kc;YIuV3(i+77`>mBSEaYSJU0x
z)l|>7hN2zU(B(&KNMqJJCtW2;9Aazfq4!#9ez%t5kFO)UwsoW>Ekzq6q=@^s6g{2w
zzqJoZQ}Xup<e0Laj?LRZa@HG&_vQwAsU$<)1u~Srcq3hR-bngSH_~=ZS>msirMD|L
zQNQ0N%Ko^C+zmF<$<EERQ$~)2qUGr0UpX2!-9q`JTgY2sD;cM6CGgBT;IC|>ueZ0+
zxXN}aF5XW5!t!*^Ri2by$dj1X4*EH30G*alpz=Tk3jU%%W+!)&YR^tuwP_dqjon2z
zSs1D|V<>!rA&XgC;DIb6NnQ}EJ?QQ|Q2l;IiY`;6%Obl;!(%r|zurw8I(z70(;jM;
zRHFD0C9?ajL|R75w6R~AxVP-3rwMzheXa^6o2!uHv<e+lR3*7wRpRB_M=u@rQTM}r
zl&-#?u2=3SeNi>q?yW}r@6_n6?g8p=JwVw~>f|1-PA7k<)6Q9stI*Iv`nc^74JRL>
zd`=DWw$dQu8yW;9O%f^4q^|;pY5dw@Dt>a9{56iyxtb%Sv{H-2{Iuxj2Q8Y`KT72t
zM=5xNHkn0flj>h>T4kz3e@Ara=8j`jopy}Expm3HMwbrU)+I@m<HTBgobC$gQN4>E
zML*Z0%SZG{qh6n+B@Boo(10F(HlSw16BOTlg6w1sNh{WnHnN-~ZnKm0bo?Z>?>a@v
znWxBc!D%{XcbeqxohIJ>M)b1Oh`N^=Q@Xn`U4Lav`r2n`d(#=>mpn^vgU?d`x3iRe
z+JxNuOlG~g=V)ibITD&{N*^zo((sfi<>Neg=bR_wMHdJT7f9sc1^RlxjK(X>sCfBB
z^7pz(=iXi<CEZIT)_RG4t~00UFmo#ZX->gsEXZuof>gIz(yC-j`paQOH!ZEG`adfQ
z-(yV{`POtm;4(>GyG*Q4F4NsZHdJ42L(wa)&}H8%r19YjN$cAZM~5vvTyICsk#-dS
z$ByjI*^}0YJ#E}^mAKQc(o-%6YQOA2$+sNHaj)a7yU>y3gq(=i#fe@%bE59U*C@U2
z8eL!IO!@)NwEeR)@f%*Jw_Vq%f1?X!$GFg*Ij&T))s;jqxKcopEBzRAB~uPJn%e0`
z%9d_amf=P#{&S<C`R?><w>w?1b*Gs;cT&0QP8IwfB)-psLYzG4Pl*RzeC$CtmUz;>
zL!MOS=1CIOo)q@dlm3Z$k@-<Cy5-|VYK>l0^WKZrtnsD@J#S(O_9n}AZ@Tk!)^)tz
zhw4uG(Ar2Jit6<twm&{(z1f%UnfTJ7cwd^8HINjWAH~S~5&I=SvPt!$2a|rJ$>mQ?
z<WK7_`%_%DKXKmjC)<Sq^hh~?j$93(mcjs%c@RJef`P<!Adu{@2hx-BKsx#?klL07
zk?i3hO7aXMp1L4%coRg=#DhuaSTJ??2h--3U`qKEObgb9kkg3}dJ!5zx?LgE^&^C~
zYz(C|<4{@{6H3klq4ersDCuntqn`6&v@I!&GRDG)k0YF1c81d%i*Pc?2&cZ8aFU-N
zL0P*aNWeCN-0~vm-JJ+B<d38Q)ksosilm&9ND_P;Nghk0=)=J%I^`BcLse0<>tz(>
ziA9s}(P;AWiKb5t(PZ>KnnqT~5b4EGK~M}WZI2<JuQBvRI+o6yilwoLSW@hbrJ~=l
zv}|)6`I*Ggx41Ym8IGd~)_B?@A5SG0<4H6%o&qN0>BqbTGNlBXvQ8l7>;x*inLsNR
zCQ^`cBK@*Yqzi?KG;=?ZR0NZ#LM@5JuP0GRc@q73nnV|uCDRSfWZLJMOjWhXB=IJh
z!o*YPpH2#y`=`*Y<`h!<ltMLYQ)$hKREh{qC6=yKviy-scVyB?-8hZvqSI*YKpI8;
zOCz?e>12IAo$e*3)1k3+YGBVGsht@VW067Z85v|VlR*!7GD&lHCN*8jr1g236n7_+
zIQg^4RyB(rIcCw3k}PU@ltnU2vMJ$UHgUOSlYLb-J$aE$N5yieO)H0FeR3$NA%}S0
z=a9qdTzYmqmvn-1siQ4-7R!-KDbjhg;8Y$tMdZ<oo;=e1okv}p@@b1nKBdLw)576=
za%L@{SKA9n?_vS<q!iG$$pXrlS4ezRNG{fe^d_s23~m-uA8!%KD;H6geGv&17LnWi
zB6_#Dm<-j5X~4Od6v~S!=V>tsE-N7q%@X?HQ9`F`OK9kI3GEUur97Qd680}8ujW$v
z^s$tT)|SzTK^akK85MMv(b6Af<Reo~UyRD>OmsPo^_P?4zj7+tQbEhkSCC&~1$`T>
zAQSdVnoy{uJr<Qzl3q!oGnEv;Q$;@%tH|_96;0(<k@B4?D&woB6{^(~<XBC=imU0u
zqiUKFt|66!HB{kRL*i966!M~m{)pDnMXg%8;ayAn8fvNPT`fthuA{Kyb@VT=j?CNY
z=+>7yQj@Nynv?akCZe7qdg_VgcRg8dYM?u38%RB_f$D}DXf10aMQv{+wu_Bqozh76
zCK~C`ye66j;*pef6UAgT5&O+1vf*u}2TIMPY2Qpu1<kbnelx`_ZXr&!7P572p+{vc
zbmVCZwTQHmjAkn(c(f8%Z7bQoZlxzH+vuoH8@2hhk!*7tC4Foop0(}dV9-v_LfT2E
zvz<D=x6@{s4oWfVpasz#<ka6mFaCCr?v_sKGVP=-iJg=-+DQx9yU1Cgi(Z*`kzRTi
z^-OosHlA+EQ0ykYE8XOh+f8q7cas5M5A~_^ki26LWfk|3z@r{=6YiyV>b+#>+DikK
zy`=D>mvTh=NKmVfJiPnpLwz5ede=uo68*I6ct7O@_LFd1KY4xWr%zG?WOQ<XM#2Y(
zdIqTA*8nZuG)O*Y2kA@fAe|W+q%oEuQrtd7MP@^^EM<uNCWh!6=P;Qt!!%(vOnb71
zspQ5miSmw6fYJ#4up1%Mf)Sd!H$uvbN2zT8D6McFrJ%A=`t@X#E{KfLjK&zLc#Kg+
z%@~Ql9;1+z<Mc;+oG$u}(~YKa+V^pssw5{!!eD~JLMG^6#{`*wpP*YCCP~d`l4_zR
zX-)qmMf{y4mMv3cX*xxB5~fIfbc*WcPSaY2X^JwRCbslxvYwu%d)za0NO6W5Y-UI*
zcZOna&k#G`e`KTbA3bpRk2H(_qo#-d(R$$<6sLZJI9+d$ZRHJm^nBJ*FM5+&j@%>}
z@0*lRf0MZ0-JJCp-=ZhFx9Di#Eoy7MMY3ORQIgbc;yHPn9KvtYv+moZ^XoQs$ljsN
zXYWu->>XM#bcdW+?$V2GcS+amE_Ef}r7aV8DUI_UEoAPIv(-I%m3fc!Zrr1u1@~#2
z(tXOXyH9)t_sQkneR?DCfDHCOpuTGlNWSa=Wj%R70wNE|P2(ZGbAL#NH4kav)k9KP
z`G|6~ACaKnBl2i^L?1ppqEnKOX-NMu?FxBJc^!{Q`1@n>+VF%voqj?_QBP>3?+MZ0
zCsZK!l$M%4C7*<+^kw8JotgWL#&$d-Me}D=l=h64O+O<)?&tIk&&kB*IZfm|r#-iy
zQ^}$iB&za)0vuk@kD?c3`tSu!3B4p`^_NuU@{(3mzNDb%FX`9vS9IaXE1L0oMJn~L
zsN(G_5|?;QA-b>WPrz%s*!r4oe11*)q~1`K;Tw_&e?wv2Z|L98H)JmRmTsMSOKP!i
zsb=sktzmgb5!>Doi`hG}Onygq#@~@T=X<K#^`6#Ry{D+m_r!MNJy|dKK=<~1phI>a
zs3HHutmF9u#Rz;P_Wd8p=GsSkQ2LQHpM0dIrJrcM#wUt%|3sWMpUC#rCwjEvGab?X
zOf9~jNv7#DC4BfyT#{eNUjGX{3I0MyJHAlcw=X2S;VUJb{z^PiU&*2GD?R)3m2~93
zQOCJ&v^n7$rHp)|1#`cX(~j@-;?j50P5Vw=Q{QO|_YX?L4_avRgPe1I(5qWNNN>^4
zSsdX{+UD?+GKzi@-@~8eBJ_*i9QZ{BF2AU+;upz3|3z8Lf0MwG-{j`?o8Hy^Cd0SC
zX<*f#*`e1T$_e;Gf~|kZ<MSW-u<kFNGW<(JVSi~?_g~8U`Im%c|B=_3fAlHl9~lk)
zBhxu^kSsC>Q(Na?zUCY#Uzh_&k2xqynuF&xbFgB34vxK^gCGtTbgpE<EXf^mIxM(g
z$%0fr7R+R@fVY_iD*v(I+D8^t%xA?*NmhvOVa0I+R)pBHqC12YfAUzdwUZSW@3JEO
zJ1cJRvtf}88}{vE!*wGzR5`KXbrc&UO4*>_&xWwaZ0P;VhJQ=uV*8f4Fh4XGnWl4b
z%WW?B6X!y$dM;c?=c4B2T)dsjjx{UTF}t`!#8Gzio3n$(mmNFO*<snpj_hf6+<DKA
z#XKBPU&8@+MGn;Iap1iT2i692;AAcbqS`qyc$))k-#D<7j}zAGIgzWviF>CwA>_!3
zLy?^DEapT*FDE`e<b>28PMj8=hnUUtFswcg?C0izah(U7_<6{$oQDU)^RVQ_JZQ3U
z!CRCIP4Zm$e1r?@FLA-xn+tKNTo|qA0_PML@Qw?%T-+#>;Kn23hRAVl9J$O5-#~7(
zWOL(dD>r0rapUY4ZX_(^!MGF;xc2g3_embuU*$n@I1io_@?d!n4~{<If&VWav<c3~
zciH)nJun~V&dx{D_4$~Loe!Rh`A`~~4~J*-QOdFa&z3EK*!Bg`IlKUYW(&~axd1<t
z7hrSU0-T>%fRx$LbefYF3s&)BFT)F`W4tK0;>8PpUaZXGg>DNkf^YDm>k}`2FIb2z
z>lVUHX(7^1EX03y3$ZY4Ayf+%!ntc9D(@}Cs~-!oYVjiIZCr%V{fp3Jya<1<EyA{#
zMYvS92pI#5aP!F`@Xg`Fei1&nY~@3>1|Qy>=fi3bJ{TnNA-skUePeu>^O_Ix9Q?3Y
z$&aj^{J5>n4*^Sl9Ps0ZTLwRBoA~i=h98n2`C&L;0Fjac7}zZURs#Vj*b2ZZL;yK?
z0=U~D0KvNgIQU%v9{h_@zhN;xs4m7jqs2Jov>4G*i!oHP7<2m<W7p%wxcql9@|FnV
zzMLS04+%oUR1jWnf@n+-#HT7jNRJA_=%pZH=L%s&Ob8qbLZG8UxMD7Z0v{nfOcTP=
zMj;%Y7J|=vAvALf<I8GcY)}-&89iad+X!PUNEq{Sg`wCk47=OHDEcal$BUL=+4?2W
zQdt7OQ%lh5ums;CmSAJ?5}5QZLE^(DnE1T}+`>z-XY*2ARbPq{lcjj-vJ|56OQBu4
z6am9a(f)iXez1yQlc)$x<wcNuL<Cb8MKIr61j?x*aI6<W*`x@bzZJm>u4OnTu?#`9
z44t~m@XLA`<N}xBLiRGGwl2fW&1K;IvJ5H<m*bk$a#ScU$4kTI5Wl({$HSK+q;NU9
zyO-n7{pHyDYdJ0oiXvTB6gSjFvFNNQ_FWgn^;l6<m5bu_peQ7si9(-63}MT}(7R0x
z|1`z0-AoMTo?^&M7Q?MtG4M}_LG6tgTsc>uMtlX{?plF0$5!Bk)e1!TuRwq13b3@S
zz>XU$VEJhUvKOqxowX~mSZO8HPppKy-AdGjuEhKNl~~)g5-0DiMAVO!7!(i(+eUHh
z+%FDmV{znO6UV)1aR`-(<IsROJfDc8;h#7@E?otwt*dZaV-;e~ufnkVDzGQ50#maJ
zHe;)h|7sN;uuEXcN(s!85#X&YfhG$HeD;;V`V0veH%TCFMgpTBB)~a;H6Xbfw!2rO
zP=7TZU0Ds0kkvSnw;H}3tI=|2HNJjZ4H^D5IJ;pD5>(e<{PY@dIjzC&s5P)JS%c!f
zHF)x94VM31gQH6%;V&nNwu6%ReohjyZjv~cAc>?ZNlcDNg6E|ql;*C5gV<V>?pTXw
zT5BO@z7{$@YY~{X799<1@pEb|Hosqs^W5u@vU(k+u?`FL)?u&BIyeQbLwU|Ryl7j8
zmABVH_v<<YFOou+v=n~tmBN-&QZRFnLRy3r{wtEg!d@w;K9qv<Zz)s?N#oTfX{=J0
zhMtKuLS3ZM6DN(o71G!?ER9RgrIEq99ygb-2cP_U>_4&|E*ICM+G{=Dq^zGMd98=R
z<a&g^U5~zb8!$&=1LSD~EOa*@%X$ND2W)^q_68hi-2k_n8&Las1K#n<KvGHuhRQOC
zG?c-By$o2xWuQ<f1FLQs<lL9R-JdcL6x@h|vK!%{wh{GbHsXWxMy!k7h*RYo5k0sO
zLr*tiE{iO7EtAFNZL-MIl*RoEvJm!^g+{V0ylQ39I4+A%uVo?4xd}$%n-IHe6Gn74
zfx~JO$bS>AWNt!1^Cmp}Zxfb&+JwUkHp6G_W;E~Fj4uY8vB7RL&V+78eEw#Pb#BJI
zdz+#7V>9do<WM9dhsXQmu*_HvTG!;@7cGa@QaOC<m&3*<axnQPhs32@FtKF|xHYz5
z&-pF5>b?afiCgfrdJ9Cywm|#U76h<wMf-}a_@S^Bo3yvW)M6`=eYavNeJkcSZH4m8
zRycmxiZY&Uc)n&ER_xw}WBS_=bY&YlgSX*V?l#DEY{P{++mQNg8)o>ngLlJrsHkqo
zwbR>C;kX?yBez4mWIK-cZAZwX?dblq9e;%7u~kkU7Z1uK{hT~*xXNQuf;{$B$>aKn
zJgQ#E<2Bn3NQmu#{*E08)7pXFOFQt-dk40s?SOg14rEU4z^!*Xz|XA!wbcr6g#v1h
zE8y*A1*{2Dz=<3MM6@ZO|CRz+zA9kHqMfjm-ihqJJ8|daPAqoV3H6Aba4*`4x}KeQ
z|6nI(ahNzMv<p$2c46?qF0h&G!cLc6u#Ve>+=^YeH?#{v&v)SvD+ABv3>vmG_;{Fs
z)I|oTy%@x#Fc_|5z&^=<dCS0N9wC1f;Q>QfqD#=UCU^%Bnz9I=TL|lK5{y3+;&_44
zbpWR_07Jmm9w-b09u)v0-N2FifbUPBWw9c@Zd8Pfnj+4gQAC2XBF1AB!Bwt^-Ghp-
zf2xS$IlJ*hWH**?+l`}|yWxLfH`+XQ<9pI>$ky)0x$)gddc7Ny9DBecz6VOX_P{}B
z4@xcf;F;eZh-L19PV*iF{<jAmANSzrd?jpNtAz7=l#pVeglStPEC^M?-h3rEbt<9!
zt`c5+SHemGW$4N%BY2-Ox{Q?Z+esN)qLpD*s*JRLW&HP884Ld@Lv`t1IB(gD%0qkc
z%5*PQx$lKu;$DPS??un(Ui^Kz7u(oXaA}1KG89yB^Qa2=EL5=HR|PKVDyVK$!JBCn
ztp1<^10Gd`uTe#xqAKR-t3v*YDlCFkk(H~8+wH0lxTA^#-&Enow-2@J_u-w&K1iP4
z2Sdkwh>YBaf#Q8&?b`>1NBdy)XCHEe_v7y7{SZ939|zCvhllHa)W`3~hsym}H?kk6
zUhGFSn;M2h)i8I*EPPx`4VN#eA<tV4_fyp%+@J=HDK&V#Q$r)y0eq4;0BIb6(eVR_
zy?g*8fd{~ma{$zK09S4uK*5&-c(_m<OQqFuc&|EqPO78%sye=et7AivI?nW{BmRLp
z#(t?|p3p%kZaN6N0|!xb_8=Z#KZs><2ccDQ5Pm}k(faHlzOfv_#^r}#vi%Se4<EvW
z*&%Ry9m1ZJL%3RZ2qhDT@bt|gh|bf1_9_hoFdAq-rhy+;8rT$|0n;oEB)4c_>V^j9
zf7XC9uO=MVX`)O?6VFd*VuigXj)iF=s6Z2)U7GlHPZM%KHF06_VWe(6jG6t1!F%Q~
zRGbgvTFhZolpV&)fx{4gdKky&96^Z45p-`of<GEZu=T<bT=Y1C^rR!WQF8=~#*bj%
z>m#_%p@piIT6n!v3lch7(6`h=n4cDUGqmupNekQm(}MX&Eo9C=id&LL!N2Dy)C`Wo
z)%GZALXP5X-chXSJc<){k0RpxQS|d`gGELgJN9YA(nuTGPTIH=rH#d<+EDM;hWle}
z)cw`Q`z1P9yF~{l59uJvR0o4@I$%rG!Om(OSdZ!;_oWW*%{>O86~}N$;TSxR9z%oq
zF?{qn2C4L8m^IWQX8IV0-yZ`zk1m)sy0B5yMZTUc9@yw&Nw6+7b9Ld}u8XGIy7>H6
z7wh?s!+8C1#Hk#|=&9r2bUY439*1r5aTN9*$D@bGA@b)qjtJ|)ce5T^)b;SyL=Q5q
zdN>=ehlEN!j1TL9>xCY6v+2WLR3F9i`gn3gAImT4<EXbj{8RPOR<DomllqW-r;l@7
z21t@Hz$6)f=ePlsE*roh&;X^`26)zL0I^#J(D`D3z=bE!A$0;jl}}*v$rCt#^#oGF
zPhh(61Qzt1z}^QZ;PmSR$^{MaLe>x~4;VuCtRaH08=@=L5WmX}v1P~*X3q?f#&Qz>
zEjx*Y+fPFE@JTqEokXSQNxVuviB)wcp*L|7p>Iy2hw~Kvil4$Z<`ga+JB19ZQ@H7W
z3Vd0ou)pOLTyC5~^`}#Kv*0vVuR9F`rPByMaT<Mgr!gn&G~^3T!=mdnvhJP6?H{Kh
zu-FI(HX6ZgzY%JUjqvW85hP=bU|42^$N?h^JTU_69AhYm7{h9-F>*AFareA21U-y#
zFv%DmHO8nPGscHk##qO32B%h@LG;cu7}7q2xt3?J%kK;>XPiM^(;3{KIRoL3XP`0v
zEW9MoqH*_Ge9}J)Y1^|f3OS3|yt5eTI17%uXF=c3;tIbB3O1PFp{fa%8kyj*lL>sH
zOwe3nf-ik0*zni{Xa1TXe#tqE$(_TzL+7AqdJcAO=TMYz4v(wOVcF<8XuUiKzqzJp
z6*I-R9j4fL)D$M>rbzTL#YCDZxEoEeXWA53-<zU@`#hemJ`YjF^U&5ij{uwVXb(D%
zA35i-sr@`mZ=Xl<*YlWKbOH0%Ux2d81vs9%fHH>*cph;9D~d1RSnmY{J-mR<-xu&p
z$P99u&2T~845=n&m~k-!Z@d{)D$Q_h*bEiV&G3@-BE&^6;<)@pgdDku?u!@k$Lk`t
zre4Iw`in@PyoeibFJckbCG3;9gzIz(Rl1k(+WHbC0xv;7`x3%hFQND5CH(t*3ELN%
z!(7T7nabw4WoQomtL9J(H-~GXIcmDi@%Fws*8DQZ2|)`)$XcLZ%>pcEEwJOd1uSDN
zkX>$pJA)Qj{LBLCES7LzW{J9OmUypeiM3{yIO%DLsANkF)>?vX!V){*Si+jq3c2D|
zxVOs+LdUFd$jS<y{#Iznw8F<`D@fh2!s$;|h*@Bb;kDLaSF#3k!WuSq*2oXF#)Euo
zEa|d_<~?h8|FA}rz-4@vxs3JuFT>dQGUBdX#%T0qaF$&L1}?+)$z>G&yNpLmZ6LDM
z21hh(;CtQ%E$%k>nrH)=8XKG)vq8cu8;rAG0oTea*uC=#?6t3;*y0MF_+G*Cj4L?W
zbOru1SJ3w13cmB$LRQii=XTp7N#7QeS8Tx(Vhg1_TR3#sqV$d}o_({07{48KHrOFh
z)eaq}?eNpl4x6LwaK6M2DSdXBeq@IQf9<e$i9MX;>`{Ku9xu+>W2KutbQA0mTxE~0
z5qtc8VUI0yufk01D$;gb#eZ5?vC#Y~RDG_(IqfPc8?NHj)K#o{e-(P%4hUWCfF3yD
z?{NogvvI(sAO~dRIN)ZR1Nd$`VE<PKxGZu+wX`GN>~+NIQ;slja71{7Bl?OQF{jrN
z@(&$h@!JtuLQc57$q54LPB>uV1UDBa)W$jCU4;`Qhn-;f+zFAa*D$dB8d&A8LE*?X
zSY5n^9ItD*n{o|;_1AE4@)|teUPJvnXM9-YjCJIUQ@YNGwsyu)fHUT1J7ZU?GcMnB
zM&4&<+~>UxVX5oTP`(Z?!|Q0Yzm88~*CAba9Y)>P5qtkSMt)ughoB2c)&*D8Tu^Yv
z1rMEFur$^Mhs#~yGw6cmr!H`u<BF&St|%38#lTuuJl*OF7A03K*K~#a30G)caD};@
zD||g%krC>O<|J3#$alr(8dogra)tD`D^%{e;`D1*IQ?)%G>03?1l%yV(hbjK+`zia
z4Wj$qutUcUM~&TJVd)0HYi`K&b3;qC8*XN};Y+C-7B#zJ{eT-(|8s-U6Svt+&kZsE
z+)zH>9Yagq@m$g!Y+KzSw#OX`8t%|GaEIl2clg`7Bg@?#ts(BXmFSMIdG6q=amR*E
zckCN;hw)u^IKOg7?00umuzO&b-vcjJcwnxK2UhI#z|MUh(9!mQm5~PmEIek<Y!9^g
zdf;}H2fn3yfWOoOGEE-X-|vAlGak79*aLANJW%=910y`1c)7$A?2?{Xxy2K^c6;L3
zAx~KAdm_-(6FFBr(eCDnJHej#p5O_AJWp(__Jmr8C(e#~!sU)9;$M2A>YFD<=X&84
zpBFe*ctL!F7Z?RE=&E|*@=-4Yo%TYmxfePdy>QpZ3qK;gusGcdvL#+P(C7t|J}<aV
zdm-VG7pmWTVeF3=UUPecbBQ-rt?>rQdE>aEH*5}iBUsNHdFQ;*Y2%H1uHN_=<PE_D
zZ*0o-hI*AZ&b52PZNwXix4lvG!W-jXz43<42lM!RX5UCYz<M9(?eM`B6(59X`5^z4
z54tY-;J$+oetG*qDAEU;(|mBS*axN!K5*~#LDG~DY9IPw;++rP{`LVEw=Y%;`$BQG
zFZ4J2!WO;=Rrf`~abI+s_~OB3U;K9Qg>aBB<l=pCD90D)D}CY7=8NQEU)0_5#pH8e
zy!+w{ZZ<!xS>%V^qJA)t_Jf_gAHw$fq40<wdQSS`;YC0Ex$1`{-hS8;;RlUWKU^sC
zgJ-=TQhNMQKk0|52Yz_})(<?t{UFKZk3B;EI3eK=`%V4`Cw~+j@JFw%KOUX+$6srI
zEOqh6)<Az~#`(i6+aF#P{<E2sKN^PoF@4h?AD;PR{uh6&WetGR!T=a955QHa07PsL
zK(TTF`VI%+v0(uInFT=PY5=x*1>kUa04}Bkz`HO2X>|c;><+-pL;ybC55R)A0a*7d
z0Lt?MaZ)f44yytYDI16qCUEx53B;3QftYhP5X-CsvHf}=jsyhaQfwf6vI3D_9*Cxv
zK>Rlth)*{H!TT%_QlA5{mn8_Nc!S`$EC^BSf>63G2m?w%c&Zr$7Q-McHw%KieGs%f
zgJ2#O1mEN!WE2FUxi$zlx`Oa|JO~T#2SNHx5LA8!;WTG3oE8ToT09tK8-p>pD;UrA
z2ZQxkFhtJ;V~15Rjyea!!ao>(F~P{p3`R>?Fm5&n<I6xW7TpNO`lrEA{S*wNIU%^V
zAOtZYAt+xPf}yP;c)lkDY?>huI}rkf3n9?93xTCa2>e4skd+jI*8C9MstLi@&Jgg8
zhhW3Kkl8za2#kM(z?mZyu>zr}SQ(08nNYmg8H&04L$N|96g!PWp<@{et81YM@C!wD
zbST;~LUFq^6yKUc!9NfRng2qu|4As$d<@0)f1#LlC8Ba^7)B(+@N!ES*!P5CrA8Qb
z8HC~3`7l`9h9S^B3^^fTXip5ooxCu7uMUGiXBak)g+c9Z7|y;5gUk0Y#IuK^ia#8q
zE5h+=LpV5ghC_T`I2i44=o*FNvPC$8oWhao8;*{saNJD~$B&Y5EN%*iY=1Zo%!I?_
zaX4H*gd^c^II4LfFt#KDuh&F?b4vtP?T!E)iokLG2-uiLAoxlI^4ub3GnEM3ONhYF
z+z1F(M_^M&1k^_(aPCe7++Ic?@mmCH=0;+iFA{IWA~A16BqS6f0o6$89gW15(~$@<
zk3_y>B)WVeaX&H=ztSQhR1%5JjgdIm7YWnpNVq?WMAG|6)c%RY1a}nP3P*u!O%ztk
zML|(93i=15V5=8}&~s5Ju!%yqYZM*?Md5dR6ohl5AXgQIL+w#GKN1Cx+fhh<5rw+1
zQJ7?l#=Aw);1-L<n)T7xy(1b1D$%ghibmL}XcS(GMvp@@9(qUPPee49q(x&(aWpg<
zqH&=&8lF?pNO>5I`ghTo`W=n;TruDgj+u=_V`ek#7@R;1?A2osemn+6CNb!}9D_$L
zG58x8gQf8?*qRdq&B_><wZ*_|I0mV=V$kqB2Gd_+@PRcJ^B2Wpt!ONiq+?+yAB(Gd
zV-ayA7R4uH(RVQxkFUn!pI0nIB4V*EH5P}9VrTEDvGDGRMcQO68Xv@B=4~uK{))u{
zt~jg{ii5I598PYEg9F7O^1$pLzq)bgKO2W9)^V8Q5{G4hao8Rgha=f>xKt4bpVl~}
z55=MBW*q)|7Kcxt<G{-r52=Om*t<L)r=;THxIG?G%JC>Y9FGCRcsw<W2g}uXEcc3s
ze0V&xQsQA=7!TjNcw}_Pqj@48H}1#d^P6}q{1p%Bc?nPvOu*??32>54Ks1wpGPMK@
z9!tQpGYMd|PJrn31ndY%z|q(QSY#!@uRH;nEeU8DOu)?>3Hb6f0gFB-U_DDBRCyC&
zv@8+V)+HilTO!Jp5;3HiIGYJ1g3T-uV)ltp@JxhuSRyQw6X9Qwh^*Q~w00%p)_5Ym
z-b)1En?!8*nTUOyNibfV1ZVLi#BNMN#jYd_?@z)Dog~aXlY|vkN!aO}1Reh*Sj8kE
zATtTsWl3mjPQvYhBz*fX3H(o!AoD2+`{yL%%z|WG7fD9k+GJF2O~%NcWW3Z!2K$L*
zth|tnU3SSh=8+8R&}0NAB_k(48SOR6xYL=8?_<djxR;ELualwnBN=BoQs5$xg7}pw
zsFF#+=*|?p+Lr<jofL>0r+~3cf$p^wT=q*rP;?4%Gg8n|nu5DcDfrQ!g2n%(K=w%r
z4tz|R&0tgDIzJT&OH)xTnToM3sd&9R6`UHWSY?n3I-iQ;wyCgjPepJ@D)JIj(V3Tu
zd)2A<*^vstu~cljn+o+;sW|sN6>jWlNaRmL&5AUPZ%D%%g*43Dmj(&#G{7hgdKPK8
z;*^FE-!$Y$rJ*Z54fjjZ@T)NmLj7sjJd=ilkJDiKAr0<-(~!iIj@l*Zm{^mJw{q#=
z+MSNohti>_pALP~bl6@=N2psm3WC$oosf<Px#{>_l@8&KbjXdS<ItUSoPU`Pk8kNn
zo|}O>z6?x?W#HZV3~(!CV2x@9b|1}v!RZXxnP(u(F$0A@8R&`3nC-kW@TWKfOByq<
zr7r^-(;2w%C<C7FGm!Ep1NGdQm=ey!`_-A?k;{anVkY(+%)|-3OxT~xM7T{Rid-|%
z8<dGh@tOFWlZmBOnb_K%3C)pAnBC5V*NaS~e$7M!TNb7lW#NNp*6f=$3u|{|K}jVG
zhFV#;dMXPMm$FdokcB?)EIf|L!oSokh!kgGTSFEO_h#YZR2IA+W+Cle78-wNVTLOk
zABD29V0AXuZO(==vT;&98xF^_5owZ*lFQlXcge<+z--Kk&&INxY;3R0#*wycTpG@X
z&#i2vKhH+fmu&pUnuAXZbHFQ_11aeo?3K^Ksl7RHJd%T`lQ}58n1g|<Ie6-o1D1#!
zEKkjWd{GXx>T_V;lLOz$9ArGmLG#-j-1wD)&+~GzP$(DD61h;>l#A1p3#S9Qh}O+T
z+1XqSTIb@~^<1z9=0Y?s7dx_ZakL^A7OlCn8DcInZ|0)qSuSpV&czp&JS<w6hxN<z
zpemIIqwRUPrksbE!+9t-%)^jb9-iChfz2xqV&QpENXdhCVIC~&^5EZ{hpdS_wBFCd
ztv7l2`ZEuF^YXDlFdzF?<-=GuAI?lZV%73daV#IhXY%pFDj##N=VL{{EbKcrA39n2
zuqw|-KubQd2lLT(BOkY)=HuI^eDJdrK!&#f`<E5q%(?<x-&TM)r2<rH7GUH=0bX7x
z0K0twR(cj-S6Bg#B^SWDpa6lj1<2_tK>K(B?%XTD_tymw_*sCBoP|(ZT!^#cg>cze
zi1=NFsM=qMQJq4(GA^9$YziUnTnNU$5V|pixSUytpt3^bHW#8}pb&TeE5wf{g;@Nl
z5VCWMa9}|ZOhk&{y0!=jTZ>S=rwC&jMR;vc1kMXZSY=lP@+iXb&?49*6(Kmk2zfO{
z=<F=Qy|E(vyjujp*G1U$qX_C8#W*KW47ZiVNR%l?&CX(s?<>X|?PAO`E{23<F>tLI
zdVa;Y5?zdtjAG=M7Ne`F829^&@oT0SLQjgZ`C~B-{ws#*{1Uh?EkTlG32L{LU}AR(
z-X1Cemq7_upD%%;Z3*<<OJEyPg3!bg6y%klySfAqI!f?+v;@L;OCa~E1c$zt;5>Wj
zY)4*-<Q1i;+fa&0g;KmzEd{rBDb^U3Vz)&p44g_~=Ua-fs8STBm!hYn6b~Cq@u#m8
zOJ+*3<#8!AK9u6Z-%@z;lp$qF8S2-RVM?wH?-k3ybEpiG`eoQ-T80x>%3$wShVbCB
z*$k`<y}4z0R8@w*?PXXxT86E6%AonO3})ZT;5D}#seI*V5G%*@`f_~OQI7el<yd>P
z97?ClVQ5~CtB&P}@F_=eWI6iM%JI0k9RC{1A<|clZPVpA{HPok-<QMtPdU=KE6^xh
zftl46__(<O3luA`?qCI!^(t`kTm>9#DiG;ffs&vK^v74=NlpdkR8?SEdj+<SRN%<%
z3S4?o0iUlGNN1}=)1pfJCt8V5(v{%dQ3)xPO6=9D#Hmx2aJ*EBD2GavdRJl~q7qM2
zE5TA+iRBHIkngR8)>I|TA6CNmT_rMpSE8A#3O9tR@L8e?3pZEIb`DigQLn=3<5h4n
zsY3MSDwMfYVKA@?&*G}Uno|YQ$|~$=tHROYDp=gAg5UEhWPYha3u`rQF096v<<(du
zU5)kf)ll7A4WlE~xOTD{F&C>*ezh7yUe$OWUJbU?YKRq8L!rJJ+C9~<oUDfbgKA{G
ztw!swYTTMvgRg=$;FGAqhD|ltM>Q}$P&2D-sX^@78dO-<VEB3sUIf%&Zd?skWY=J4
zMGbUXYhX20gMgbg$bMFXw$C-V%~FeRytUw8UJDtiTI}Cmi!;i#xPG`6afY?1G^@pk
zeJx&k)`C5}7AsR~v8%8a$LeZf-Cc{oiQ3tYw-)VhYH{ahExvQsK|rt$8&}mqO|}ka
znL4<r)gk^^9jeaMVbrP)ubk_^5l{#5S&S}|RR`VjI$Un4L(pIya&Oe3<7pl4eyYQd
zIrUh~TMyY~^*FGu9wyuB;i^=R1kHL>pQy*!g?hZUs|TlNJywO)gOclUyr3R7we<+@
zsz=^<Jv#5z<KF9f{QOZ5LCywjTHFA2@dljR*Z{X(4M^PIfEt|!j2k!Ljb#JoIX6JU
zzX6D8fL>+;u9P((q`3k40}bf<uL1X;G~n0A1_;e*#O4K!I4IHx)3uFo-`a?zJ&mZ<
zXvBm;Bi^2G1eaao?53s>ilL3rPilm1ej`F_8d1>Mi0-jQJh<D4->(`W{G$<a98EYR
z(1i0Vo8TeSgyfw~sN2_sN$n=QGin02WfRt1Yr<~7CKyCF!7if-VWmwdY-&PJe-j?g
zG~v(VCM@~bgf0J?W;63<Tv*x+PswJaY-vXQ?q*CKYQ}s0X7HSEhNNvX_P96WL`XC2
z6Ppp9*Nmd-X7qM6<I!j{{@!WE(pSyc`n?&N>@6_kZ-Li}7Nl-yL4!gIrd3<;;b;ry
z8?|7qMGKUiT43ngf~!$2h)8ciaY+mM8e8zVuLb|6TOjhd1=~Kf;PBrTT;yqm_mWnm
zt!YK0Tq|Z2Tk-K=D;DUtVx4I#l&`enq+2T-f?E-p(2A1WR`gf3;z@fe=8U#t*_~Ew
zf7yy7-&%2LZX0~~+K?{RhNksx_-{uWKB=^U_h=iWPPbvNc^ghSw!zV-4N;M8C{1gd
z?I_#uw4n_weQj7i-3IwbZP0q(2J=5{@a1kthHyKYSGVKF=5~BWI~E>nhqPWhRL-^I
zv`sslT-y;H)Q+<Fb`0jU<5^`pSlinnI?|3Ex7%^_MLR6Mw!@FD1DT6D&?4G_o6;Tl
zBHw{UDjis_)dAI09Wc7ofol#Oi1F?~c|-?>QakXxr~_;b9T4m7fWlM<v>$fB@?8h~
ze|I2@s}rq4owy~@iLaYF!G}(4Q18UP<DD=z>4fv;PQ<!&q9U*p!*QK>k==>8m7Q48
z)`^|NozS_}39ILw2>8;8Y}PKcE$qVW<z4tD)dha}F39Zdn%#tS;mpY{T))_bxT{^L
z^y<P$co$x#bb-C73oGlpu&bvF$0oaA{h$khZ@ZB5s|)S(x^YLa8{b!TLts-kHc~g#
z4s_$JZZ}-cb|c=p8&%i4F&fZ~SFzpT$nJ)CMK_q%Zs-nm&t|^e2zu6y+|S+UVClhK
z-X8o|)`P`TJ&@hrg9FMvFge@<SHm78nDwCAz6WETJ$N0~1J0BltSamQ)%D<bcMohP
zdJufS2YGLL(D}0m_c(j;b8#;OSM_3(Y%kQAUYt|wh1;=SB%bL-ja4tkoqO@dzZdgj
zdm)k43zYXluca4P273{5qZj#4duKOzy|_Q855E@lL1<YYHm~c$!EJpoRqBJgW*?GH
z^r7}bA13Vj@YbUbTw#4!o!ke-f<EZi_QAHR5253ID7e>$?$>>I@S_jEIr<^IxF2%j
z{W!F-ALn=V!()Fxl6Cq~XWWlT%l_GptsmU}{a6#zkKLL5FevMXU2{Le2KrI>Uq5=D
z^yA^je*F2@k0lERutj758fyn|Ve0@q_Y5FKV*vFA1DHBLfcLfo;PDuMWat3)Bn{w1
z{s8Q21`yskfTFPh^xhr7qgMm?`+WdQIR>#+U=W%s2Vo{N2(O)kNZmJx2JJyi8x7)v
z#USQi8^l__K`2EJ!Z2eHS4#&G(KLwS{z3H34C3+QLHzqL2$6q-*fxI%hnEiFqT~>~
zw+ta|_YfKn4Pi!q2p>&{u)uZ*>)eN+95RHHi9>M68$x9D5K20R&_6naCwGQ0=hYCF
zeILSh_F)|1AD-Pb48v!`Fwzx<(WE+z|Beph)9GRGS`0(VX&8HbhjA)u7>?<~h$<OI
zY2z>k`iAjzdKfH^hq3&_Fy#LZLyKnw=1WH4yJiF#awBL~9Knr)BlxU0f`z6dkiIek
z6}J(b4jzG1!U&>sM^IKZg2DC?JR2DS>zxsZz8t}hZzDK5cN7+Uqwo_OMdtcZwCotg
zO_fo6(Hg~~)1z2#J_=RGQ5gA*;#%Y=V$w!YUObAShEY849R=I;D8wF(LgD==wEv94
zl6wsP!ehu<J%-lJW4MJed{rL<pWYZYoEyVFn=u%>j=?!-46*TJsK^<^aOK$ShHMOT
zN5-(?_84})7=zB&F<7yUBVf@uvPH+yCOwYZ^5gincO3j$<B&Nuj{TR$amHaB*S*IP
z7cq{?)NzayjpJqgIM{o~v2tpBR>(e%WADac{d*jNTocF<nn1h61nz8_z;~LM?T99@
z@%RMPOeS#l@&sI5CJ-MufvUI(jAl>ZRmB82+9n`AJOSp`1azNI;PRIV1hGycci|*D
zmQUiY)FggvpTy$5laM_!i32AmVRCU2u2(0K;5CWr@JWoNOyYInBsl9Qv8rcs7AZT4
z;}0fb^L7%!zb274Zwj4)Q@FQk3O{A1AV^c#bYKeVx>K{8-6^<PPa*O86lwydFdjRF
zH(67dS1|>N)+u0U3VJuEaOK$)LOxF+pJf_dywkY9Y#P7TO+#q=G&U<w<KW?Gm>N#Q
z-E103_S2~KoW?}hG~OmpgR5{FtLvtr*gXyXiD}s0pPudHr%~{88r_^Tc(8Z|zr|-D
zEIR`^W(J4UW^n%43_Q-vAlYgLb<Q*RpQ7_{3xayvFnjO4_uhN+-t4_cWMpJUW@ct)
zMrLMYWJYFYWJW|rW<*BD&&Z6(h|I`L2@w$y5fKp)5fPEk?>c|NIoCPwdEfhao>Oo2
z$V5$#Xf^bR>vug8*VZGYfAz=<y*;x1QjdH+)gzq>r{#j~X_>b=EfyZ9B{=l7<RqMy
z<+-Qj^@mSO-SX4&;|r&yyYjSLfA_R#e{x#f8c$3752xkfj?=R4-_!Emz-ei^dRqRN
zJuO3Oy>idES1cWSCB&~+a-)0YskC0%T-+<4KGrLTR`tq%FZasimR`}R=@s|SdnKW{
zR~G-=D=!}Fl^v&h<(uJNIeMd4E-v)Sg3cMSvN|K7?q?(~<czF{KO=ACoRRv{GxF1u
zXQXHC8M*P=nfnaX8S$t+BZ*&~kw*@mk&55W$onVG$o_L@<j=7)GJN}tD5&*`wQ-+>
zIrK@sZ=XCJ)hAV{eezjRpB!G&C#Rq3ld1K6qPL|_JU{4@q&<C7_HCcMbhuA;{@Ewr
z_VmfIi+yrwvQHEj`ou=(tb|*hl>)c3vNHIrycu^^_GF)xpC39az01zZ&F9aG{%dE&
zYui~#{`jmsy6>#4|KC~p;K*5N{^zXx)qhq-uACL6+h@gAwO=BP`lZmmU!L*lmo1U~
z@_9<Xv=#QtnMeC&dS$;DtnU}^H~S@JXTL1@tY2Q<-!C;k^~-lh`=#r@ez`o<FUphs
zVt21!BDK#+k;OS#<$CTub9zo1I48ekos+&r=j7HC=fv>&bK<k<oTR>UP9EERPBwgb
zPCjfoCkK8#Cx0J5C!=T2iOQ98Vn1_EqErT?*l<9ewHuJF-UISQ#DKIX56Ibq0huWq
z5Tlg?;``Eoq*V>b()S1CmHGkM_07Qjneu=f|6@R|bPtH?(118xACTzz0eL{{ysS1q
zFK@e?m%V}K?^j9Zr9bn$+<x%97(a1d{MMY8^jFWz<JIS7<45P^qrK;)<@@vUPy2Zp
z`}@48ojos(qvs{&)_EyW9+c+{2Bq3|P`>mUlq2DTaxQ65X7dNdq-;?9pB|Kqia{xV
zV^Ch*F(|t~9hCny4a$ih2jyz#;C;q_P@FCdO6<g-Ja~6d)@WXkcg!xxKIaSaTfhYw
zh`k_pGA@YegBK*A{DNdYcR`-mctJM3eL+6nbwLh(aY6n)a6!g@xgZ*UUl8ZM3nG^<
z$fD^B^1RZJY||f-uWW{-!*fW^hYiVG;*gl-4@ux7Lz1;(NS3`gB(H5AlG^u%<cGQ;
zIr;UFTx%T?&CVflIW;5<4#`8;hGgyBki4sLQ5sDz%I{7WWzhek+>N;?<{1|ysN|w#
zKYmf3Tzye0U%4osY`rM0A6}GG4HsqNyNjar%SCbRx+rmHE=uXhMS0=oMcJ-6EMMyl
zOQ-d)T<{o{`OsmpNF0{nykW^%JS@wf8kX1B4NKkY!}8<yVd?&4Sgtn?i+1a<xcxpX
z@h6An;q$|?ZhTnYyE80J>X+mXlS?w>cuDU0T@uTfOA?ZPNpc^!Bu_29B%7bTB%f}$
zB!}L*B>&Z1lF836iOzSI#J%m3B>Z(r7WZC~7cX6s9aER?Gm|57RCh!!T8+qp`-oVD
zj!0<2h~(vt$cl$Y<c;McQvbq;{8Tw2J@1aljoJ~>Z5$DgA4VjxV?-YLcSI@%M&$jg
zBeH*XME+E}EW^f^MZxj1So>X;u;|N@pLSWEF1{>Pk6o6}R$Z3EFJG3^TQ1Ag2bV?f
z^ULDdd|8ryzAR<OF3U@&FU!v1%ku4w%W`btvRu*`6-BF2v2h=j@Q_g{h#!@eIivDs
z>8R{^a#Vg^J1V`ejmph!qoQ9sDqdfWO7g)`dGxnYS$|?wJ~%fj&10kT*X>amQN1Ec
z##hAF;fh4~UXjA6EAmY071>gBMLu70McSUZB4^fLk?A+Dh`|R}?lbCFB<0&HvgGg;
zdHK&PQqyxqzPorux+bs4<$G5|S!Yb_EXO3$ZA^-S$7EI9n7oxeCJhgb$uG;sr0@AL
zxwUCb47ZJm&&Okux^GM#``?&sI5H+5{xc>A`p4w&D`PS`GbSpkSH<4wszljez0aUr
zm1iTb%GQ*t@<riQX@B&poLzZUW?s4~MsHpf-<?+_?X#=0bpKU(<)^E%>*!Va{=cho
zeCVoNxqekt?_CuK?Qw~=7?%fJ$7OZUxV+7{?9CdNUl)x_{}bbKd(F5QZyFcBcg7`s
z_qaU%<+yBY8JCZK9ha8l<MPkhaTyyO7qyvjaa6e`F^1Qq#O|6r=Y378Bd*=o1YMIO
z1=r+U*)^Gc`kI)$bWQxLu1UuG*QC7un!NhWHQ9aWn*8sNYjUFdnq0kbP1LVn6Q}uW
z600>K51LQN8kY%qCvZac$%OotIUxfNPRO0|2{BzWApx&WNM`kfJn_+lY}z{^AAdg~
z2iqs^Gk+5@-Zvo{qZ8tMYeGc%x-2rdF3;Oumu+6x<*V@P(vfss&gWm3xks*x+0)l0
zu;RL8y>VTZ?YJ(leR^GLo36_bKVFxUo!8~ssq3P7;kvj?To>+MmxnYbWv$tyyz4wE
zjRBMLd+ekPW=zW6l1VWypOm2ICMA30q&)fdq*U&jluy2xl-2{2a_W~!ndq7nt-eWd
zy*w##)00xFbVFXyzaiUgZphc3H>5M{hFnOzA@g}R#Nv?~61?Ju<h*!8mT$fxufKOg
z>gsODk6+)A?$#S}{r4N9ed>m|4c?IWYd7TKxf`-hV@lpLosuS}Dfz>HN`_*l<X-xe
zSe8sl$m3J@8S5!|>Xj+kymd-G{cuVSHB8BW-%ZJ6+mz^ZO^N%NDM=WalEpWt<VD4s
zvP18td}Do6j(Xgbi=j7VA>pQ2<=vFf#WyAIshhH5-A#Gp^_x<^{igi%$xZ2LyeT(+
zxGB27-xQCNHzo1>O?hPerc~UyDetRK%YKt-`O|S)hW(~RA!b^v)2AiufoaKKIxSB>
zJ1tckrscD@rsZ(Ww4DBYTBe$(MXzmIJpY=Oq~2*MyEH8?O-;*Ag<JBi?kzcHbxSU}
z-x9^pTVj)NOTu$+Nx{RnWaaW(^5zS-WKZQS`T5;j(p!5=Zhm!3^nbV|ULCh2`QKae
z=)f&mfAyApFnddy)n@K%T4rR#VMdhvX2dpnMk3N?q_B8Ko_TCWwyc_w&tIOAwk<Pq
z=7SlT-ZLWx%`@Wt^Nge%n~^1_XXNGK8L7E3Bi}8|NSDrSxomk`l-+NOUC3>TjK3{K
zIk#n1>1}!I$=lMf_O|@;+HL9EcKbfFc3TX;x-C8jZ%gWLx8<=Dw`Ie*+w$SqZ8>oJ
zw*0L+E2BoUqT(<s_P(<c6*Vixsk8EI(X4D;GAmy^Gb`=uXXWghvof=DR*d${ito3x
zl6H7jmi{>_uk_5yu8Xts{p741zc(vawC{+j<sETwyCc!TcjSS%JF+_aj=cTQ9of6=
zj{N%k9qHe6M{d7!M~pwdBYykt+}9A^k;jkRk&XY{k&pWCNXwNw^3Tj28B>`PHKRFk
zw4ak0pE)UsoRjBL=A^oCPQH9}PL8aclXEZ4$!yh}nCzSr|Ig+mWB;6#|1>AB9-Wij
z|INw&hUVnN^*OmZKPT$icg4x#uEe_Dl?Q|F-e-jG$~#$iW#6K^^4k-4Wnj%+x%28>
zF@5K*1nj;mnP1+OCtB{xreE*M$H(u=!LxVe-_g4=e(SDisLYGA;k=05ye#sbm**qq
zWn1#Rd{r<n9cA-!{^@y{tC$zFs(A@~e_pcc=VjS9^YYrEd8z$lUViAFmy;Lf<=Vu&
zXwJ`zi`G5C{GL4Ia!=L<-jjFbo-}6Oliwe_Cxhkp<nD9##QfEJ5>$OpvOl^fPwu@Z
zmEYf!PulNE>)-d}RNp<BxO`8vZru}C<pqf|SddcN1$n`1LAHl4$k#~=(wV;?7am!V
z`4tOdQL!MwZ!Ad8js;o%>4Lo8v><gqF369a3(|dR;l3tgL9{0p#O>~a)T=1qudTpg
zLj^J|6zH{6V414|)7}bH1}R_|sX!eH_@*duC`*C#LIrvjDNz2X0#i>YuxX_N`p+v+
z`;r3Qn-plRQXusm1-jo?VCilJChHa0_@x56`xV&TqJZa53LN}Zf#jnKoII|;lK&K#
zIIF;hAqBLrD6s3g0`4;kw9G4zsG`UTEk()<6&W{IWWAjtny!k}cq`%>q{x8?MdDH9
zc(NjkvlJOCP^4m!BI=JSvhxW=oL4H+yhagTQl#ruMM|p_8Ld`i-TR8D?p9<+y&{fZ
zDzg6@MPgeNId({qMZYRC@`oa8k1L}5pCa4ODq=sRNYkhy(bp9@dP|X#c}0eml~|*t
zgrcDm+su`)wNs+eMTtmnB{~C@D2`BKNR(Keti(d564eDtST9myUzrl&Pbksxv=W7D
zlo+f~V%4ik%)g<;)@mgz-&bPqM@od&D{*A668YaKG4Q<-D-S6#*RI5tKa?;(u0%t(
z62WJcXuqID?x+&|6H2VOrNr!AC90H_G1XFLkAX6Q=E}6$DwFM^OrMuB%LA2}30G#b
zC}W(gOns&@{sqb$eo&drGG%(pm09+*GSkl~Q(2*m;j7Bjy`hY6wK9ixD3kt?GCiLv
zQ@&T3sU~GMeXorEA!TaYmGS;VnbyCRN$pmqyHA;=7nGU2tjxv<Wpr;Tv-_?xp2{j5
z)KnqaK!uZLDlD;8VZvF34PGi}2dc0uTm^Sgp(RO$#7q@V<f~BjpbF!UsIb0V1<j{b
zsCiBW*9sL5Y*Zos4Hb^Rt-|6RDva$?q2f~&)c2~evq=T#?^S62Q3cvn=;~CV^lueL
zPpPo3PX*NrD(twdg5!h=`=?ciy{p18B~=z_sxqRl%33p3lx<bn?yQQvmnuyGszisY
zax_+zk|b4zGgMiVuZrS>s%(2i729%E8ds<i`J5`9FRD_!QI(<1s;qunm4)|IsotfE
z^{1-r`$CoQCRI8Ps8aZ&DuchMvZ_;+`7Twqo>IlKPnErcs)Sxv<;XQv@~2f9m{Vn?
zk{WXwYHZP0!`w`b1{*bkoz-afR3kS)js7q-R>Z0?o2W)rh8m{%YV0XdBk&P5+8$RU
zdxaW(tJPTkq8c-=sIhso8pdy{QU9JA{=3vTT&G6n7i#o=t;VtgYD~APQTdA+hMj8E
zb*bTdN{vHj)JPvxqh~~o@@r~L-Be@KoErK{>eOne<E^hwtEoDvHtKXcsk78mok@Rn
zHioIA8>`OlM0Gqf)H#@^PI8GlCl{-;<Z*Q-o>FJSYIU?<RA<*K>bP%Kr)8@;iSMa%
z;zM=H>eLx;P-p$u>S!KNr>0dM*I(2*@Vh$kUFsY^sm|gv>WrONr(#4M^=s<vys3`!
zoI1^l8la&;m!1ZtrW%Y|Yp~8q165BAcKB=H7^cDg7!6_*H8_^8!J<43Mjp^$?P3j-
zAJ<^}QySQ>)}U#f2GOr*aP)NzO15e+yj_DeA8Mdjr@^)c4Q#*Gpz%8mB3m`+Y}26l
zcMXRA(qQ#T4HkMes6MZO^@s-h#x)4PsX@mb4GI-C8C2I~m7XT^CYo%u*2L0Dlf53A
zg!*f8Bvh097)=HeG+CLh$y}}`TOQEFe6c1COEn38N|W|yHOXD4N&f~-R=lps>|2^t
zZP&!~LrwO4qDf$bCT)$HWPhhg-w&EBZ_{L^LzB&aX<~d*llopw{LgE0_>v}><C^qN
zX|n8&CesR9RH|!XsHa7pi59-rS{!oJBHcra9zQM0L$#QS)?!nF7W(O0)aGj8{eTv&
z4{MRSREzHAS}c85i^&(X*tkIp-Pg6){gxJ<+qF1Yqeb#3TAch`izSU(Of+k;;Rh|W
z+qBr#p@sWjTD05`)=BKu;>3U!WtX%VzpBOhDJ?YbXi=k}jjOsg2XwWGH__&}l{SkV
zwHb5QrovAf^-yhgMr-4opiOg{Hsos4Rjf_v!`h5Krp>zL+NeIO&5jqeaonKI{z`3P
z-_qvTyV@+O(PpGpo3)>7qui*?_GWGDf6%7sXKkW8v^jcAo05OE89uGengMMTFKM&w
zsy4P$+BD8;6RDs>r<xAMx;hLQ>#*8NhXn^6s@-+4_S0cshz{Y=I&{SAP?)B}V2%!}
ziglPT)nV&nI#@2(Vecv(LSN9~$jdt9SL!gZMTeE|>M-|#4qIw<F#lYKhOcx8Zq}jw
zpboh|>(Kw34l9o7FndCWs?$1{4(PCFSckx?I<(!;A$wMbz6BkYtLZYMqswMvU5u@C
zsdv!D-(8o(zPe<F=+Yad%d&V~rc-sP%+bZLSeLp|U3?$Y<<OJ5q_5JYXRR*fFY7Y(
znl78R=%W9wF0~)%;$5pt>mFTFztW}qTV0kO)MfIpE*pQ-MfaF4yHDuid0Ll)=X6OP
z*5%}wE=z9cGI3j%4GX$xtLd>zM-O*nJz6aFNOaKSgqt2^zIu!Y>#;sc56yTzYEt!Z
z&C%mPksk4-dK_P($KogT7<)#KinV&EzpTg3*Yt4SqDS*KJ@`P6u8;L7-J{3oK0Vfb
ztB2}AJ$4+{!|^vg_W!9z><K-N_2{waoE{?=^;kQmhw=?Qw%^vnenF2WRehp$^f_vz
zPl=^I!}j{Dannc9SD$Uc`rJ>vr!h{S$W(ngv-K%1(r4%)eO52gXJMH>)z9c-y;h%n
z>-7nLO`nc8^(ow@&)`mdR(-6`{Ac=X-KUS`xBBe;pFW|7^*M4xpZq`d8Tdz^l|A~*
z_3N|cqCVzh`ZP@H6MS2r_Ivu|sv6L*ZNLg617<A@sIoV})XjiBJ_ZB^8_*VMKz5t~
zeJKVk&o*GD(16Vk8DPA`fcj+y_&;O7;pYv=TyH?{CIgneX~6V522}1e!0=-O>OM2T
zcb@@=_8XA?KLdJxGNAm30aHf}*z}J9`aK5J_8Z`R(SX(~2Bc0J&^=?o(t8F>su;3S
z+YntNLv~vj;%RTlL03bPeGEAnWXO_8Lnbg}Ly95V*@o;YG{pTOLs}j+BypJ`CsrC#
z_PinEFB!6alOdXK8dCF)A+9?OIk4N1_|FVE{-q&{_Zu?SVo1eLhNvGgWam*soc}ST
z`9DMGH>7LGkkTuLj9xcn-Hais_YB#gVuYi%5&I2|h_x`{n4J-eT#Xp<Hezj%5z3K9
zY{v-u6eF6ljEF8Y;^-nHN**<0_z5G{tTaOLc_X&HWQ6S|BO0rWh<wM0&i9Qd-fhHC
zy%DRwG-BZ!BdS}Bu>Q%2eZLwJe$<GL<3<$zXT;!HBUTL=F+Xa=*6T)C&KR+G-iS~Y
zV~%JUlW%CufVnX%?TndoF=mUmG3G(WG(;E^j4|!W#^h!h(_diBibclEmKjs^gfXTo
zjoGutn825eX?xX}>?&jWs*PFxzA-Z&8MC?G7~?OEssF|p{}y8oA2KHMS7UnrFlO0t
zW2U=}sXS|p;gB(PqsI7NH|EeSW76l1=}|VJT+4(h0~0oxo1kxJLamDl-rgp(2AYr>
zVM4c<ur%3($xIVA7MP&B$b{WxCU`z!!ojCaNM2*Y$qEyeylTS48zyY1HbMJ+6Lx)M
zf_uFQEqhH!{KkY6-<wc&$b|8B6W0G>g644(YPwBuJ!`^&3ns*mns9u=gvGZ^7`tmi
zg|aE?TBhtYFvZ#2lxAB~a51IJ%aqbUQ%1v0Stq8bCY!P&(-g-7Q}#b-N^F@a$I4Av
z^t34>&zZ8e!W89KP1*j2DfZQ-H0>}Y`Xf`0erig|UQ>pfOj+~2DT;?o+174~?H{Hz
z{%uNRw<(={rW9W=W$3agt0zoZm^P*Qt|`{aX6(~6Biz7@4l^?fZOs^THe;2S8S?>V
zYz;TVQq0(!WJYMF8AtNX$bZm`fk(_(S#HMM3NyAmXNGx&84VlF2!6wi_P5Q*-C;)m
zE;CkqYR2prW>htqVfwupdww({u-%NdPBXIqHly#98O!_3m>D!<^JO!PC(NjyHpBm}
z8Hbh3$<#EbSKpjvX68)Wm{aL&j-i)1bphu1hMRLJ)|~Vtb9yq&DbF`&s>Ga4kC>xh
zZcgnAbG)B3r}ag1Qa75@z1f_lZ<{muo;e$LnWOuuIlI3w$Fs?tg9pq>{?VM1znHV6
z)0~Meb2gkZN4w9QU4!PhUpA-ZnmLKn=A4)_r%cI$aSaRB>sz2{W<iaO1+LB(9PqRt
zKEQ(GVHPZowO}mKf{F|a)blOaSz>|nBNjA2ZUHMS=vr+->5CSOzGA_;%@(M>ZNZNB
zEO6Xq!Tvf6V!yE9*w+>;I$*&_s|9O+u|T=gg6&-v*q^eX>5K)@gBBbev7qFd1;aNj
zSTkpVqLL-sG%T^zx1`b3l1Lj%I-M*j_OxWk-;&i~mMp|rQk`gtb%rJT@+=82v7}?M
zC54Y$GWe7wt5#bwzs{1auUKNa*^<3mEeU<kk|Q5ll3!=ZK!YVKzqVxVJ4?2-T4Mf-
zB@Mq@65M4;`$<c3&sfrb-jWp~mduV@Qgzc3(>Y7_C|VJyVMUvs71^d%^jTZ6+{ua=
z4=XnNTVWh#MSYAF{)tu`PPZa6&x+m$tXQ_#is_|RR6b>e;c6@D)>+~EiWP@mw<3M3
z6+PRnDF4uksZXrf)L@1F*H+YiXN7mG6|HSnr2cM2_g_{lJ!!>cuN525TcJB*#qMz{
zJa1ZY@QxM9iq@P|w`Pf+H4`S*Y_PUQ+sT?;9@e<~ThkJ1O=65SClahFOSfh`*P8VY
zSfjbvnwq87xISggfoH9WUuVtn4c07v-I}qttf|;;jrxby?EJ(U=LTz<8?E6xYr1~0
zrnJqP(GF|Y{bh~nNo#iWTH|=$n*Eooi5<7**pxMk?pQOTV8dE<8<h2I*luEjy|oQZ
zjy6Pl*l^U(hLTVlhNEp*lVF2lx((ZMZLod7hQ^0&h+Jwz=W-j0pS5A=1shgxuwkLn
zhU&L$u-<ONz8V|CKe3_Xa~ld9Z5V8}Vbu>d%>Qh|)(#si|FU84zcz&S+HhpRhWtx5
z3|zHg<&+I`vo>r|u*F>6mIhs0f=z5`x3VSI(UyL9TUPklG8<w`RkSUp3AXG>vn4Rs
zmbPMBvLCjk?=f4JFSli8l`WfJu*G<TE%lYQ_`hY#;dgDxtg)rH)|O?T+cN!?EtSo-
z82(^O-Osl8cGz<0m@Vo5+R}5{mhu5xriN|Vbk!F9DO+l1ZShvHqgBn0R9!o|jqO-!
zWyhq09UI;4(Dk!pcZeOH(RLh+w<9^tj*~fdEGf2QqSTHJkJ+KU+>TwV>~Md<j+U40
zNUXHu#1=cs-nC==13T8&+M)Tm9W`Is;o5A+frEC$|7^$c-|Sd?%#N`Wc2u0ULw&%G
zox^rGU$vw8h8@h>(Y0VlshT~bI`*tHwnx><o*fSMIJ(=j-`Ael5PObA*|R9#o{?00
z*5=rwTx`$wQhV$lv#04vd!kp_b9AjeB`@1E{F*&$w%DWiu07j6u*bI6p2j`)M1EyY
z=ePD0AGBxausy4PvuEK?d#X>^V}075edp{6AGW7s%$~v<_6**(XVro|^QsPP)p5Ym
z*nz#44um>5aKz1ld|w9!f*n{H<-lB=16xuZFwb$Ip~!*YQU}_XIFS3K1O3l9uwtzP
zv+EtGdd&gTEe`D2=0M;F4zzvjK=vL7`t~`n{96ZR{^!8v!wwk#=0N?Q4)~vN;Bb!v
zndcnnz39NQF$bn69jLtRfZ>7zb*hf|>Ns-9$dPnQM|$iXDR*;Z%EysS!H(!hIZ_+v
zh<B<Zt=W#G7CF-WkRwZ%I5N4+k&VwdqPy0S-Rm9ke9e)AZ#t5^&5@Hk9a-|RBNLxF
zvSFVi+TS{|>wk{8A9keWh$D%AI&$J4N6LB}8Si&w{Y6JK#~i7dbj0<xBM0s|60hpS
zacw6S8#ys%;Y5YK6Y6eG?DTQMIoOHjNGFJMqASIT(rhP23!PZ^kQ1s)oY=9<3CCxg
z*#Eo}vFn{Uw#kV_Z#psZjuUHlI-&fr6Wc#?!hW9<P5YgQ{+|;^e{!Pah!ev{omlga
z6N)`fZ0mQz_M#JwSDc8PbfR;{iQ;=s45>J?THBcgLuaZjoUyidW}mAw;XclE1UXX}
z>C7O`tV(faKFgV{h0a($<jmejoe5p$%#oGO<UjAsz)Q}o+~mw$l`~u3amIY7GYz|)
z3I5EP_Ai~u-S13)i!&>Ja%T2dXR3}mWBQLXd;W7Ku-}=sA!o9$IMa9CndLLi%*;Ep
zS;YloZ5QedUGTSX;jo<xnXWGMdb_YJ$c5<$7b<bVFvW$sEEjwWT{yJJh4e>V=y}40
z@|7-3t#M(~OD^bda-p`$1@CuUXno&>)ZH$0*SoOvOBW`;abaVN3%WnKu=`gRJde6?
z@VE=f|G9ATtP4wqT$mVjVZ(J7v}at{HSdDEiYqNzt|S_|a>Cq|GCNnsU0hl3?TTiQ
zD>V_W{Qo+T>`Hu=E5{35S-i-Vu`*XGo^VBdr7JtvxZ?bhE6uOELX|6B)vlDj@5<;$
zuB@wfMfFQpc6{TCV~Z>M54jTit1HL;aAnbPS4O&BS$ozM<snzLkGf)i-Ib<Wu0+qf
za#Y!k5-m4|4cu5`?uMeB8{1smu=RGMG0=_32sb+KD{G3A-5APrV|9TW3lF+cUFL@M
z6K?E#+KuovZgf<*QTVDGgKxO8s@jeD9d2y>$PLSSH}>vzBlH_Lj(qP%{vkI8+TB?B
zhZ}Q$yRoI)4fC^ZG+b~ac+`#d2{&?YxzT^ujTOr7%xbz*W#EpfxjTDo-3fGYr_IZq
z>_B(=!rfUe?#v{)vpLfp;{tc;A9TmR%$>vK?qojgPVaN>EUR#5dZRm)Z@6Pv?M~ee
zcYHr`=g_C_r0;d7r^%i2@7<aD(Vb20?&$yFPVL|Bcz3(g+UHK{1$VkHyR&q{oylo;
zHr{ndSJ{KznjUx>cyQ3ngJfF|PC9$A#LI(;01q~Vd!Q{I>`L;$J=24hd=C;I^x(uJ
z9+Z`PFuuZr_0M^rS>Zv=Mh{%y@ZiAP9>nkP;P@^N7Jur&*cTpDG<l%@y$3sg^uW2@
zgXT^T_}hc7Qy!G|c`!QY!Me*Hs7`pWW7-49yB_RU@+4N%lVkdxEHd+C#Kx1g&YmcH
zd9ppg6Z>#anqobPPV(evh9@QYo(z|GvgQ#_6w5u?w!#zJ=R9eA(UZuHo^)>Zr1))5
zhTijJ^)62q>O86b!V~KzPxc+~B>YEDI)3q_u+x*lE>BjS@?`#uCtC+SvApcb-fNzO
zPJ41>&Xas4F9tNcSgG&DoT(REY`idc_M*Yli{Jn++QYoajrF2G(Tf!sUd-lsQB~rF
z=_6k3dEAS@6<)Nh_9FX5FZy2bV)<q-X102<`8_X;cX?4?=Y{_lUL5|~i_8OF^tO7j
z>=!SlfA^xY%L~I(UeulO!gtV%LnB_KU-P2prWfUNUQ8)^vq{4neSL3gO}+89@ut<u
zn^aG4y8XRb8s^Ppj5iw-z0u9^W_O-9o+aKKT<lHq<KCQn%9|yty_s0&&4yRJ(cbLM
zuC3m<zvoTMhu$RCd2^z{o3gLH8UN0k^{w7${^Cu|@7}m}d2`^TH}Pk@Iey-o#UtK~
zjeApZ(;M|UZ+0sB;H=?8vz`x_`p{+VL#dMwqaHr2^Y=kD%!eH@J~$@&us_|0*gPMO
zJ>bKl#XgKI^<nK(J}9sDVf#8C>|gPr>2)8XxB75&yALHF`Y`;74{I8HQ2g45ZQuD|
z+v-DOn-7t{`_TE955*^a80z(5^?4r_F8NSB?t}GBANJkxAzaay4s~A&^?VsL@nw~@
zFY}JRZ1wQP(%+Z8p}vI1_;Mt{m;7{J26BB_`G7BT5BsuZsW0YF`O@&LFTv}4Y2V;W
z?(4qvzvat{?Y_*`_)_(WFQyH?>}m8R@H=1He()u`&6mCoUzY#n%gn#NZ0_~N_`EOm
zmwfRb_vP@EFPV3I=~eJ!nYtg-x_(re_+e=6N1dY|z8-!Y^7A7-)Q_HMKgtvQm`d|w
zQ?4KS5BO30upiz_{b*h8N9wbFbid%o(hYu0R{F8=EkAU(`?0&m56@5hIQY3A$&G%T
zZ1!Wx4}MJi?8k-<KeYeyW7ofaxcB<eGT=wzB|lDF^`mUckMUVQ)+_j<sqRmWu0O6O
z{v5FKC*IMY<L>?}_VZ^f#Gi_2f7BEF*_q~#bFM$l#s2WHKV6UcQ@Y%r(N+Ged%+*o
z4gTz?^vCfnfA+uYPi&1p$7=mq^tnGHU-`4P*&pQ}{Mr7qKlUB|G#&FN`d@#Jp7y6?
zz@On^f7V>}M{&xZZL|K^Dg@A|7C@wK0G-AG6k7!_<PgAW_W%}r1E>xOz&bjBeenT=
zrv=cF6F^~c0E49gta>bf`6mO|x+(z67XsM(asZ)~0UX&9K>oV{415s4%Gv<t_5`ry
zs{qWK186uHK=982wEq@B?y&&+PXw^ybO5vG0;n1e!1QVWdu{{}I2%CQLIBxnf%NGF
zvfMb38OuO6I|O3v9!R}!ApRkN9F7VkGd_^s)IgTy1TtL|NM&gthK~hO_hcZxs{%Q+
zHjwm}1L=7!kn$~oOl=Ef(+7d**9KC%ClK$i0%`p=kko^LbRQ06>2HBd{u#)|6M^WS
z4rKSaKs<*7IXD(b@{K@F-VS8RLLd{WL2S?oLfbfqU6w((I|R|<7DS?N5GR6zD2obW
zJT8d!sX=Jw1W{8IgllOK2bKg8|6~xyp9x~|+91Z(2T}1_5b9fk*tsnT=MREt{x}Hs
z1ktrGh|+I^82w)m>kbE@`dbh?{tUwLL=gLXf`~mA#IcJ(EE)@9WHN}gw}Vh#2x7Zx
zF!nmZG#LdGZ5hl_`(R4kf*JM+W=(J~ic!IAiwnj!HJHZiU?Pix>3k@d;w8ZhEemG#
zGr=r8A58W7V60yYX5X8^gl`L`V`ngh9|tq|Sum^i1v9@tn63W{#`175dyfPY`e!gl
z{s|_(Czyf$U{+oXX6{NbTPA}sza31&y<mb>Lul6yA=fB`ev1%R*oQFd8bXy%2&Tay
z?1>B^FfN3)ln}DBL+C3EVfjNL%sd*x=4BxmKNCXz^C9@J58?2p5HjBkq4%8-mhB8-
zdUptwpM_w!FNC`NA^83;ghM}tkbWeDo}(d@{}aO0e<5t@4?+K82(?#2@SY5zbtZ(=
zdm(hIgtAmSlu5%-Hd=(DYahyP*HAotLOB=|N^)c<CkbUqN+=Uqp=>A&Mf;&pc0C%3
z`?644R)&)Jd?+Vg3Z-mQDC1S3tbZpI&7Gmt><-2CvrrCv8A|;AP>#2RviPS^#(oW@
z;%F%9|Aeyhzfhd}Lunogg)5<ST@R&nCX~_nP}Zr0p{gCm4#O}UEyCDu7e=gW7{|QB
zSQHe-NJJQG2}3z0jO|%r*cXP;v?z?|N5eS!L>MJ2!x&x@#+sMHP}~&8wyH2}-wC7f
z{V*bThtXLdM)8+n41E*E>XtAT4uw(uYZ%r?!`OE`jPU=$=r|ij;ZPWZqhYMN9>)Bw
zFt*NzVW|?%UafFK4Z}HN9!|bpI0G)>tn?0NE-;)e5#g8<PD64y!CB$77lf0$D4hPX
za8^7K&g|3SRILfe^rdk2yc$kmRXA<c;bgxbPTxo2EUyn|W^Xu~zX`{<C7k+0;rRa=
z&f!18$vhrTZ+AG$&W1C6A)Lz5a15`9Q+F#I-}!J3DMyg56+w?d1m)%tOxZ@T$t41P
z?+9uGBk+!hpj9GBO^%>DGlHcB5llW9!N#%(bf1V|_tO!0u8H7aMFh#OMsV_t2$obw
zFtH<o4If3IT_3@&y%D&76G6-O5hNap;6!@_Wq(94{&xiHyCcv%8$r#52wX=aI4}`G
z{H+L%-;H3gawKD#kyIE&qHZ3^PTNSFT_S1riiE&Oy22wVl}JXDB3YLiiE2S4J06V0
zu`H7P<&nfb9m%ohB3V=s$;ie?*1i#ma&;uzcSK_UQ6x>DMiRX@lA}$Llzbn_@Q;zK
zX^%wlk4U!t9f@ssB#nKML|%xb^KvA`6Ojx}N3!~EBnwJWRBJ|IZ4kvivnaxCqv&vs
zqR=af!GI`Mg-0<T8^zY7C@eFh*qa|k=z~!lc_fPb@+byYM6vR@DCS;_V#~%T%-@Kj
z;q54bcSO;?D~jAtqv-!4iWN;!%pQoM>c=Qd+oRai8AagVQM8?kBD*h&zQHJ#Uyfqt
zS`?e7qcFZ3MZHoq{+iJo){iFBESg@MXqGugGwm5oWk58B;nCE^M&p|l&7q8F((|L~
zDT${1k!YqKk7m<~X!M_pruM~Xyf;SEx;dKEx1;HPFPf#hqM59VX5$yp=r%>O`#?0F
zKSp!#muQkZqdD0X&5~2mOq_{k!(cSpm!sKrEgJXfXj<l?NmPpAghmWy`Z0`~#<1Qd
z22JM}YCL0b4T#}DSPb#8F&s~fVR1$bV|g)Dl*FL^NDMn4kHL9G49%-!;KdlaUWuV}
za}1+fV_5fI463_g*ijdQ;}<dP|2l@)12G(HjbYI*F^v2k!`iMGluyO5{Y(t@gE2IX
z#1MTghNCxQD4C04STUCSKC~$6$Fj{d7F(NG8l7T^^o*s`KbGRKScYO^S)CZmLV7IK
zd9hfR#IkR3Ea8vG((zO*g{xy3To=o#S7MoeJ(jIoW3hZMmc92QfkNwIInoeI{@1Y#
z+>eM^*&54STP$0CkH!3cWJtrwSc1>Q(tbXc-1`v{{o}E$xEagromi?A1yc=SkDd@{
zDzsS(*-k>Ahj8CcnfsQ)+_%-mI8mri7yR>t!w(3Vi-q2$_w5j$5~iOOD%S~yuLyOo
z3%*;0L)(S)4~3pjgz^Sqs!`bVouJ<;)V2xUzYDE@38^QA?p|T(d13OBuyI__y(#Rz
zBY57&u@0(3^8K;wNfTIdzdbwQ2pjHy)3ooGYP;@V*Y5YXtR(>w)8Rxelsy3B55xMU
zp!pQkJPWSt;J^lme;tm$1&g=CSPfKs0_qL--F6zm`8#O-0ceA+4k-N#M*oF%y`Xv?
zc3c9-ao9fvv3KB@LL7_K;~3G6W35RX%GPmgcZ|c{BaSA&IHE)2I2s*CNkSaMX>qK{
zjYIK)IJP|;hwaih8kffr`D`4WFT_#2A&#NSI99(E$HKdDRM*5|{Yf1AK93{3F^-Pr
zI0}D=WANuVR&~TNe=Lrz|Hfh28^_*(I6^PQapY<o`BQNW%*L@&A)Yz4c(&-qV{Q^p
zgH=4ij`6g+$CK+9Pk%@}E286>jgO})EgsX{c=i;>6ZmjEZI8v1y*!@2Rq-r;A)c9+
z<JnvpkMUda)V~{#e@#4xYvalMJf7aK;#t-l&-B4~Du0g0up^$jWAXU@8_%KB@uUyL
z(=!}T`PF!)Zp5=`HXeP21Zve1@YYSB)i{Avs|30o5?Jb<z@%>i8$%M%jZR>9d;*?n
z2^`ExAh|e!lcfnPc`Sj6CllDPDgo^m64>=}0`8Rwv}{Qr@!bSYe2_p{Z35$a5?KFL
z0-DVU)ErE}_2&c*{FXrcu>_8vNMP~l1jf!KP%)f<`qcz>-blcCHi71a`v*xakuIG?
zN{tg4wM=B4Ln5l~iR|!A#4#k1{ZWa;#wT(tHIYR*iHsB_vbHo4<;N1){$wKds}gBi
zn@IG_i5z_`k&-Qm3~x(h%?F7n)+VxTPa?KoCDQn9B9R9Z={%fB@o$L?{h7$>6NxPJ
zBvO4Y5$oYZ_KhVHej|~N+ldq|Br>R)#44R6=8clrYMF$kLlS%4k_h!p;z)23`B6y>
z#3ivZHHo?GB(@YKVP2X<!;&O|pG>0tnIv-8Cegn>i50IUG5cl`Rojv<{UC`wA14vG
zCyBOwNo0SUMBo3CSbjK(nIlPT{xb>V6G_zfB;kK9iNhC@$Q(<ecQT1(x09H@mqev%
zGKM<I)EOn?YnjX;`()DHlIihDraU;AsmNqD#U-PknoMnWGTueWv_6zf>XKx-mnF0G
znPeuPPiEu#WOQFkX7`)Pcy3GP;Lc={KThW4XUQztm(0ZeWH$US8STT#>^hQ+`=80Q
z{F6*#PckR^lPSBH%=ndL)=ws*c{`b!d&#(}rf@(zg?OVBj$5R#*gl0Z*AyyzQcw?0
zVP|9t&T%O;r=&o33SEUMls=Tg=%XpDTb6?AGb!wNJ_X11DeT{rLhPF<9D65)MLSa%
z*`31L&r(p{m%{e_DcJung{GfUh(40S(W5Dp{FB1)e<`f#PeJiw3fr!vU^|&Y<4g*X
z_fqIoNu^jjl_A4aR$HX9V3$g@Ybw@0sq70%B|I{f4pJ#hNo6oAl~skQ%r8o1>!Yby
zE=y(a%2Yz1Pvyu<spM};WuPjRmG7i7_kJo{cBf+gSt<=*rV_kAmG+iYa(_yt|JPJj
z98G2Rcq&!@rDEEj%ATQA0<Wafc0HBsnN<4bQ(3N(#*9`Pn+?-2wn(GiE)9RzG!A>G
zkr|XmZ$ui)NMkxVjmoSv3=7k!Ta<?HqiGy^B8~KwY4of~qx_{brd~~BQ&k%J@1#-t
zej47p(`c<vBlXKPy1z+dX-gWDhtk;iYZ|&o)7X7H4bT75ICwUV<e@Z9j;68XdKweA
z(%3MchPFyNyR_1AH%zC+Je@?lbWXUWQ|6t{cwjo~Bht|%otoryT(i<SP>@diqI8az
zrL*{nbjF@er(#Vy>My0U^VM{mtI}z%zW<24pHA0D>6F%|GrBjOb>F0;+LF$WL+LpF
zn$G?|(uqBu&av)v7M)FJ<U%@YN7GThp3e4L>DbSw)1;h1v{nX34KgS(&tTX#gEcN0
zD0*kGEiePyhzuGfgUI9zIx{mUF34c$!3<WHWw215LG{xaSg*-oUquGtuV&EkMh1n|
z84T{oVAV$%%zv7}*1Z{6ev`r8?=uKJl);hq4D$cTVBqfzR(5AF*O$ST3mKS?X3#K^
zLGY~%+V5tNtDH%{W+p2PGMP2Yq{=oEQ<qHkcx4h8m`PiBCfSlnUs5K^Gc%dV&t&t1
znHZO4QeU2l|I?WqelC;DicESpX0q&!Os3z?q;f|lh96~8_h}}+dowxIlu7#cne_aa
zNqKuFQ=OS?`a2W-?o4X?GV#8UN$cfIQYSL$p3Y?H-ApExve>AZg|0ysyUnujw9Vq6
za~8>7S)2^WVo7)w6R}xrNXkMxGmBmMS-3x#Mav^uB$j7!Vnr5Z&t)<GVixN+W}*2;
z7Bz2Y;kqM>1G}<_|1^u^Uu3bkDT}cKSycR(g?f7yJ3F&*{yU52Q(4fLMb}^!rI)i9
zy_Utg=`2+5X0byl8%ND-_UmU8YnIJ1n`{<2XEWlN&Dwx$l*6;xem~jFJ}H}~jBKLw
zvpHIlP01tK3_qUDnibh7K9|k57qhY5m`&s6Y$D&zrt`gQig#r*RF}=_FS1$qI-BYP
z*;xOW&Awl<3Gd9Nqbr-jQ`roj$!67HHuEFdY`vC^<#aZC=duY^%HfDc4*B{y44CGy
z(k6#FryRC;=3pL>Lqk{&!Ld2CC+3iwkwbr84l7D>m|dJh)#EvsuE=4}>Kp=J%%Sa-
z9I`j((6=>*<?rP%^I;B~>vAyuB8U2~bMQZq!{OE(GJnaT_xBu@b>%R9GKb1DIT#M+
zP&bl;@3kBb-OM3<E{7h)T*@_anbON;lW8vcHo4R~<>Kv`ORIk_sbRTv$K<j!F_+2o
zTsG$AqFa*7?!~!yKAy|Lr*cVNoy*B}xh#1lmx<SN*|0Si?e}uo^<ggVb-A=O<dXPx
zE+@XrrK~lV@wQyn|DKCxS1vUtb8$VB%YpN`#E;~1d_0%MH**=glS_qS9_ku-?9|J{
z*))%4>pXDEqst?YQvW<gL-SY{lZR?z9y`+WaLmhN{{wl%F3#iF(mWPDmB+}ld8}QR
zhw>|VY=1ou`>lC2ZO<e6!#s|Dl1E8H9>a}!tobev#nwEwwdG;^dmfE{<q>%@kIvpa
ziqGdUbSaP3<9RGh<xzbn4{ODI_NnI+u9r`TNj`<v`3ySdv&ti%dB1$NhUQ}#lh59S
zd_vRnIg*=C{sZ|8Je<$UrTNS)&u7cC`IxWEr(r`r!LR4j{#HJ@+w<wK$!EnU`OJQv
zPgP?+rr+hW=ZAa(+wy7a$S3=+eER;)XL)ZvGXwc-zLbygcs})0`S{<-=deNnnd$}f
z>K3rfq=0Fw0xBH~F!U&(&aVL9&;kxc7m%J%Ku=l$<+%k+6&JAS;R5uR7Ersq0PklD
zXnmo8)C~o6R~E4JtpX<BEns6!0lJ?Qu>11@JR1u**jzyJ4+Wh3xqu}d1xy?(V8g!!
zX!jPdYoGx4O9ixCEg*5KfD^L?lqnQ4u2#r;-9j`?3aPOw#MQBo1MY>y`xSCLq>#nY
zg^a})Qju1OdTt>*iwkjnxRB<@3SoI6U8@QyeW8%imkU`}S%~Ueh3t5@5XYKA_SY5?
z`*|V9zA9u<b0H%K3t9VfA<7+vY(G|r{lA4Yoh~GLppc`(g_K+^WcWrQYi0{kR48Jb
zS`oIoMKl^05ouLKr$Z6N?nMmw7O^^{h=r&ks^g2WPAg(xP7&e7MRb%FQTSL9gHIN*
zYE=>QYm3<WauJr5MeN;DMCiLk9QmM#{MsT0_7t)5t0LyUEn>^TBFuj-qT#n9f{zu^
zexiun(?#^3D`LfP5wl}ORNW}Tbhd~+3q=H~71O3uOtx_`eU`;6cPQrn8aVgAJ_H2}
zn`CD)lg=bFnaNBt$xLP*nIw}*zW4k6e!t&klFlSMlT3D!Ofr+1WRjW8WF|AoOlC5Z
zOfr+1bo>YJukZUjpLg<d0W}2zvaS=*dZU0PB?5ZO1gyGSz=8V&m}CM@XauY=3&?Z{
zXbA`?hzsa>KtOq&fT0Efh9?9Ze_B9wn}9hl3fTCHfc$O&+j|9+y(eJsLjk&d0w#t8
zq`np~`-p(%F#(Hz70~^MfYNCJ`_qMJ&K5F$o{&V2kc>-&Y`9#=q5>gZMM75IC}iI)
zLR4i!j#UVW-6v$0Oh}VPNS;~9Hm8u1fRKTh5XA#R#vT?DX%I5=2_cP73t8AEWNXJi
z<?$6EdtVnK>lHHECnWTtko0{*)(;6;@U@W6?}V%v6S8MQh~y6;NB<TQNEeZIwup7-
ziO9_nu_af;^2<f^UnN3RB;rW12;VItW|WC&s1Py#J`tOxB8oL4cAG>9oFYd2B0Mn>
z)72vC9~LpMK}1KRh-FWU*!8T4styr{J4Lu&7cupgh_!tpay}H%{)vdCLn8WyMO1z#
z;?R#G91|i=O^T@dTSRucm`xdCip~?W^8zuebHxnjiLqTJ=H#_vYKz6py+ush?P3Zm
z#O$aNQy~>|P%Xw{5;N%#Q{xwt6%*51EoRBXVtOAHv#L?dfo3tLXT_X&LCl&?F`2K6
zX?aUbL7$kOelg{rh#C4^jA2;J@ewiAKZ=<%A!g&GnEb!RY(GOnS%!qcObNORBurc^
zA(ba#_Ei#^ua&U4SVA`vN^h62|1JrdDhcBf2?@1?43mTn4hf6=61t)iR#r>cS1UpF
zsDxvWONcc~nDwlLrWYjSbxPRQC86Xk2?Os+Q1nX}8;}tBT*Ay@35_EX7XBz<>n{?R
zl(2V7g6s?_qi0D8WlBlEK+5`yr7Xyk(wQ%1#kErQ+#vlYnUtfYQUZ5LNvo2wP9h~&
zEoF;Q%5sO4exDRkRLYV2rTA*4%y?8v!{busH%r;vDy8@ZDZ5{mBIuGb(j&$5u9WEy
zq|^^cnfJMrj<2LF8<DbWR7%w^QV#zv#Wf{mDow`Pvt;CC%4pA)vGigYeV56o%$ISf
zP=@0M8K-WRQCBJ>`z{%q?v+s_k+D-HW3^Gnuw91DC*x#9M(zDF=GMw+tCvyuxQrc7
z$*5?Raj;#6<z*R@ugR$Ck&*STjMfiiEE$l|J1Aq-S27NKE5kG@<HWd(HNVTqoRZO!
zCa2&mIX&mfDbJQOG+&P4GC9Yulv7<OXU+|BHr^~Jzf{ilRdUMil`|-oqf^P5Fvv;S
z<;?cUX^zNQe7~IThvbyj%h|tPj^-&j<Il)Rw9CnOS<Z&n<Sgou)3sC1$`9o1`&f=@
zP|mS~a$?`gnKde>X<Sa;?{c>NC8s1!!N4p9igOi=ov$D=U%|}F6f|C`U}2$xt;-Z}
zvx2?1DUhvFFj}b~Bvz2FQn22jV1Zphr&qy>h=M&S1(Jsp9DPJVV7-F0rxdJvMnP`7
zf-PGVEPqWw|C<U#I~5$+t-$xOf*FGf8V)L$|E+?}KPV_3SFrnp0>NJjMow4anWbcU
zj*|NGmCT#3q+_9yWmhWMb&Zm$Wl9dOP~y5x$<&=n)>bOX5i4m|Dp_h!(q~gr=~Z$l
zti+L0a;ip2-6Kk}*DKkyK}pdwN_IZ4Wc3y$!`qbD-c)k(9VNB9mCXHEN!w>i3J)sT
zaac*k4@wUHti*Cc$>b>|HK(h{nx&$3j*2DctLVK*#j1rW4lGt-x<<u`>s72-p(67(
z6)ktFD5zA?BT`YWR57GiVX&z<?om-4Rxu}~Vq=Yp{6|!5|F4R&4Jrm(ROp^pG4Ya$
z)HW5f-&E23j*7**RdnxFQTmyR{a>ok99A)YR7K)v6&WW~Y&fN2(dlZs{-tK+95wsq
zs!?5}=GdibVvE(xx<*aY^=k4~sM)qsP05{V2JTU#5UCkcsEO#+%(SU#^r%@FR<kv!
zh8i_{*Q$~ISIy{?YC<h)(w|qe{v|aFwyEjdu4ctMYWBRZMzUAU(fw)yU#dwvtY+O&
zHMu{l+47s3<)_s2&(I+Hmxd$fXz<O|FykT(4VP+|zgWZOB^rva*RcC04T6;#M#?pK
z?$IzU)KIU`Fi)?c!>VDKN5ig=hN`57!w+h3t<^BKPQ%(KHRQBtXy2q^=}Q{=Ue!>!
zUBjUr8XWIyIQ5Z+y8Rlmztphl8x2KAHS9d5VfAkshX2%Ho1x|8Of9wNXqh`#OWQmx
zg_mmCafOzOC0Y(H)nd6x%jB(EYRa`_-J_*dsAY*lORrALDyx<QZY`#emJ<mrYaY~+
zxmHWdIxPiHYU%l(mhw$nhBj+4ysG8+8(OM&XqofAmW>~2$=|PK`vEOw-)I^9UW@LS
zmWkt9Qh#chJwr$HOdX5Q(b4^H9i{Vh>|dZmbA^uat92xn>d3fB$A(*VEGpO0wOYqY
zp^klW9V(rUV-_7Tw~kpM9Zd-xc@OH?_8%Q3>vRk>=}`Pn$Jlc^BAa#0d{sx|8#)&5
z(6M#bKcn$SI`)35Lv}#N=ph}U?{%af)3N@zjs<_}=sZo&ikW)$%+@3Mx1OUH>Ip2+
zlXiukbyw@jU8-lxay`p$)zg269?@z&M+AC&ay>J2dKxTx=DYQ54(cgR=-ItSkKjLg
zMjq4SY0@*jQBVDIdgg7`)3H_0vN!bXdRtG`E<K0$=y83jXX*<*YY*wk`Cd=^PkNRf
z*VA`WPvvO_4xMShG26hYECY2H8pvK?VACQ4MOPcxd7XjP%MA>d7_i-8;N;x~Y6S-7
z$_=z>4HQ}o>~I;V2pTvTH(*&~V6x6Y&0_|#nhdmVG_d431HCUAShdx_fo=n)w+)<l
z&%l~J1~NZ2(DH?Wf<p#+ju<Ha$-vOB1`H<+9G^B&eWsB)vyE)bGLnCxk?oflDO+S@
zu)v7!IwKP|8cCHHnSF<m=DUq778vQ487b8o*>5(YaTys87)iv9WUMi=q0Y#n$BcA6
zVPxe-Bm3Hns9rR3>=h%iZX>haHq!K-k-R-dw(T=g@`aIsuZ<{<7#SNg68Y80%#%hM
zr;RK;)5O-ZO^{_`Z;lDsB_>8MHxVi@k$#<t^*5SWP-3F9%*2YjP3*bPghXcIsK!LV
zY$DBNVqL&QZrsF{2TUxlGtu8*LiB`*BTt*~wV9alqKSrAOw8{#vANeo@p~qAe`rFm
z&&0@(3D4IiroS^$KW1XyuO>SFFtKdf#IAHRRcD(ye4ZIsj+v=kGixt5lT%=(y~xbc
z8_o3HVy3dp%%KW1j{D4<lA5X0n8`Mq+2k}+6fm<hW@hyRW`-X&V{0&Tve8WK(`M$j
znQ7}VQ}~LR9j}|I=rwb&&y3|mGn1c~sTnep^|hJS@60S2Gt)a^X4M~N4*YG#ly2cf
zhJ`ifS;)+>(2{GR;BpH+S6L`8vM^L^!ElR(<F{L=uCOrYJ_{SA7V<R~wwo-JIV}wO
zE$CtvCaNu@9=0&M!9sJRg~d->=zi8hX@`aVofb5&TNr=KLZZ(?#)lR*d}3kIkcF;c
z3oE~~u<u6;stF6nCN0GNwlFK*N>hfFyz{JVyTD3Gu9bm2D~hYEj9qIbQfy`BEmj(D
zx3aLp%GRoXfRWV7UbPjO$;zn1O2}^|J!WNnwUq@ATj_k%%8EuSdz!6Cp0#rH1?xX|
z%~sN0x3canE4h7Ew)9(B{)v_T&#j1ttsEJ#;``Ccj0r0ZlUC;cZDsQrHi|QB?9Q|y
zxWLB9#Wp;7Hm37!)L(03Ua^f1Y%IIo#;&_;R8`qHEV1EI+n6%iSnIHn<G0ZswXw9?
zMqjOs%13P+dfbMi*~Y0>8+9+($nLbUsmn&uTQ+vSYh!i4jo|?sw$E*x{K`h{h>f{F
z+GzX5M&YE59aA<c&aiXvEIXD=JCoUVYA&{um1n0l-_DY2?eyMYXBBo1l-e=fW#`1b
zcGgJjWUB4780{1|?DY8Tlt=9h-EYTGYv*{qo$AN!%xSi>vDHrg3wE}@Y^SWt&R~xn
z-Me-sKCqJ-urvE}JI!C&Sv+E=d(=+pFLw6-Zbvg^XFSb8;w%RlnGQB&J6LqFgRaXQ
ztju??uh4<&2FE`SLk?o44rblupy^%*c@hWPR1Qjv4hHNF6g~%I5eJd`9n7qC&{*$a
z;o}arKIMQ`2YcHc$X<3Z`kI4KkAw7g9jyPr!GZw?or4ZmeC1%zw+<wu4vvmH2>k9K
zZOXyAG$*-dIoWcqljYe?`sX_lUFPJ-l}>zxPG;QTq~T^K^Gls<Ugf0tUMIW7P6R3^
zBL*iPyOU|Jllq90dG|Z%c*x1JdMCTqJE?lg$>C?5xZ0geZE>>pH77YePTF@mS^9yK
zzK@+$4mvq>(23()C#QaJQaA1-`*$as{&G^3=3?h87pu>8F?_xY+k6)%7rLmu(#70D
z7j4U26yEG&$89buR=GG>>B1s*F{yM>V{nmWchTx~u_WT6H|1j0LoN<H;=;7v#fc3r
z);!}Pv)x6@78eDtx#)S*Mfpw_L%UrVK6Y{ZGZ)ndUCjB`#l|08<d3`9e!@lBUoHku
zccYu-W@3(;)cI~^&v(<j(9Pm2-E?2$rgWK`{VUvPZgVq!r<+8jn+&m=4N5nQ3~st?
zZdQ8T><hb5rQ95=aT9yQ&8+oqnl`w}d&bSS=iQWSaWk;Zjp9u=WAC_$>~=HrV>gYT
zxmkG7&DO*Jz~Ud=?ETq|?1Y=qQ*J`1dq|(<Vf`Er3(oh@d69<|3q9;v>_Kvkhojef
z2(0jscAJNFcY4UJ^sq(bVY$*nzutq$=HZCPgD>o1M#@7&jfeS<c-Z`355*fi>~8TO
zc;3UvOCCJiJWOx*Q2&mHdAmJy?DeqhGY`AI^iXx!!{MVITt9o5`pv`IQyy|o_tO3^
zFH7fm>6`1N@**#XF7@JA?B&!FFLl>@$zI`Q(@HNzcY4`*kC)XVFT)BiHocdVRxh<4
zFLT3Q+LB%hYrO1O>!sqqUJgF##nR$sa+8;um%L<c^U}KA%aV7z^uF(9)m|?L_IojX
z>E*;XUe+A-lKHcjmfyS-obu8$!$<kQd<>oA!!Xy!@p(R~FZD5Jv5$>QeB@v6WBW}$
z%2xUqEcc<i$H#=wM@r#iw%$jx)yHCwkM59<(xi|55Bkuo^)bHAN8(8z87)3GZ1S<_
zB_Ca{`dGQ$$G#mtRPXyZ_K}a+ejl^G^wIQ<kG!KkwjJ|P@|%x=KYb`>_!*n&CvuLT
znRER#&hxYIQa@X-@WT>6dzbo=-Q;KVRzIO~Kk4`QSuganK;frT=Vyi0&mOlQNyyL9
zgrC5Je$v+ZS+~wl?vsAD{LjzwO@8_}`w_kB=g1p=d^`Nic;8RMM}Fq-_p|wcpW<))
z?Ec=5;FzD0<9<AU`k6j0K>f@B^Uev-@$Uf3<^|ZbAVAd>0S;dsz_m2M)bappZw-)B
z9-w`7fTh9!eewX6x&VhP0UYiCr-A|M5&^Ow46x}x0gBcI*x3|d_5T74KNrBZIl#%S
z0czg}Fn33Qwp{@VKMJtp(*P9*0vtRP!18^7$)5t$91oE7XMonzf-IRCq<40ZRsRlh
z;KCrL1wl?M3bN+vAel>pv@8!&aBGmBJA#z24l*PNVvq+pt_@Oc2{OkWWMeQ$ej>>B
zH9^Y$6J+qQAiAa?6B~o1o(nR2bCBk(K^DIer2Fk4rMrUc-xEahX^`<Rf+P+F$@o6V
zhM$5gIv%9!WRR7oh1hpy2-WNm$Ff4iE(|eiL5QYBA@Z&cvF*ALCCft$l!Q>+5n}A_
z5D`I$neq^g+7JsZA-1~y5k-O__QpfV)`S?X3lVxOM0!(*^&3MhcrHZeiy>BQ4Y8*?
zgyiiIN8bw(*b^e{(-7;v2$6dz#Fir=mj4u@|JM+rlOc{whwz;lX2$F=4OwC4Ul?Zd
zC1Hveh1p#YMsQu2ksHH!O2SN+g{i+g%sfGu4q2FG+AzD!VX9nV4hO=x;$fy92(z{>
zOwMCr+MfusbYqylwlI}1hB@>~7)N)QQ@vs8-V2kxC(NdOVT!&8v-9gPtB-^k9t&gp
zHO$FB!qiTOnR{l0wzDG?W<}VM6QSag2nR2ZU@3?&Srnn>#t2y@5n9V4EV(;E?|l(g
z$s!!kL@=2noNz{16Nr!*kI?c!go3&VJq;1cpNKH@bOb|NgyS6%s$YpPr#r&N-U#{c
zMcDpfgtC1R28SZ(zK$^QU4+zFgxSAFX#OL@;^_$8=}}70j<Wx}D4Luo<GE21mq*Dc
zh_az5%Ay;iblnnVWm%Mc6;V|8ML8yo64OMPWscJ1jFK0KvMm;+<bfyy4@XfnL>X(0
z5_vkx%(f_v9Z?p(5@qY_QRt1bw=at9!ziPlL<tQ=N&h;^`tPDF7>m+55oN_6QTF^D
zMUo!lXhw{{c`?#*Vyw%Jk$ZWJEmy@@UKFFhIELt!7)Nf8;j4%-<GvUT(irnKF*ciG
z6gy+=_Qw#!VvJPB@H`x2`q3EmjWOmu9i!vf7|S|h?COkB^?HoMZ^dx+#hB`kvG$V~
zIYTkphhr@LE=J#vF)Alw9GZ;b_&dg_Gvd@`#K}G{&ZZ0E6y?U*nHOjERdI%|jbkg0
zbCNi<x5t@V5vQ#xPN6i;4t1OgQ=Eg2I2M1L$!MIK>Nr^s$7y{u&XUGBz0Gk}Jsao1
z3vo=HaZYr_S@Tw$%)U4+{c#FDiPQ6Wobur~LnCnvKgK!!OPuP-ICK7vv+;}s`56he
zXC^4SAi?0p33Pc0Ch`-cu1zqzI6*TB7T=zr`>q6~RSEV>5@^&3#*GOQjszM01RJ6W
z7F8$cs!g!+(FFS*PoQc}aI7^!?1cogIukT?CCGa#!M1l3l=LSU7)YS_Ji*vk2_hp2
zX8xF<@s|V(ClhR)`bQEwBgx*glE^ZXjAkbZU7RF6FUk7+Bnz%h(s@IY6(reHnnZF}
zlB4$~2}qKpsgtZTCdqXq+2TvGJes8c{v@K>BuDC#_#RI(qd7@KYm)gdB-#9OlH#r;
zyL*xd-c2&{K@!hElIg)D^<O2KH<F}dG|94GlI;3DN!3)6!)Ym8XQh}rH^tiQ6gd~C
zXumAQ()<*Cg()g;NO9=q6pqpqr&gt?yEjF)B*i9GiXvl*o%R%~eJO?`DQx$rIQdYD
z+WHi8A5YQtREomZ6g%2eRJ@$x;A<%?Jt-!4rl|QKMb<!y*1;4@zDm*iZHiT+DGrRM
MF#Vq5#9t}?4`fj0-T(jq

diff --git a/examples/ode/DuffingEquation/a_Cos_wt_fitRandomSample.ipynb b/examples/ode/DuffingEquation/a_Cos_wt_fitRandomSample.ipynb
deleted file mode 100644
index 4aa3a9a2..00000000
--- a/examples/ode/DuffingEquation/a_Cos_wt_fitRandomSample.ipynb
+++ /dev/null
@@ -1,813 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "import numpy as np\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Duffing equation: Second order ODE system\n",
-    "dt = 0.01\n",
-    "\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"a\"]*torch.cos(coeffs[\"w\"]*prev_val[\"t\"])\n",
-    "\n",
-    "def t_prime(prev_val, coeffs):\n",
-    "    return 1\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"t\": t_prime}\n",
-    "\n",
-    "# Initial conditions [0,0,0]\n",
-    "ode_init = {\"x\": 0, \"t\": 0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"a\": 3., \"w\": 5.}\n"
-   ]
-  },
-  {
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000,  0.0000],\n",
-       "        [ 0.0300,  0.0100],\n",
-       "        [ 0.0599,  0.0200],\n",
-       "        ...,\n",
-       "        [-0.2418,  9.9701],\n",
-       "        [-0.2140,  9.9801],\n",
-       "        [-0.1858,  9.9901]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 5
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T01:33:34.139150</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"me6619503ea\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.71554\" xlink:href=\"#me6619503ea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(51.53429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"119.710578\" xlink:href=\"#me6619503ea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(116.529328 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"184.705615\" xlink:href=\"#me6619503ea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(181.524365 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.700653\" xlink:href=\"#me6619503ea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(246.519403 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"314.695691\" xlink:href=\"#me6619503ea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(311.514441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"379.690729\" xlink:href=\"#me6619503ea\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(373.328229 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"md1d458ab6b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1d458ab6b\" y=\"261.217125\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.6 -->\n      <g transform=\"translate(7.2 265.016343)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1d458ab6b\" y=\"220.896844\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.4 -->\n      <g transform=\"translate(7.2 224.696063)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1d458ab6b\" y=\"180.576563\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.2 -->\n      <g transform=\"translate(7.2 184.375782)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1d458ab6b\" y=\"140.256282\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 144.055501)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1d458ab6b\" y=\"99.936002\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.2 -->\n      <g transform=\"translate(15.579688 103.73522)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1d458ab6b\" y=\"59.615721\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.4 -->\n      <g transform=\"translate(15.579688 63.41494)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#md1d458ab6b\" y=\"19.29544\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.6 -->\n      <g transform=\"translate(15.579688 23.094659)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p29b99ca597)\" d=\"M 54.71554 140.256282 \nL 57.640316 87.642484 \nL 59.265192 62.331163 \nL 60.565093 45.504392 \nL 61.54002 35.332027 \nL 62.514946 27.516033 \nL 63.164895 23.703464 \nL 63.814845 21.055438 \nL 64.464795 19.59844 \nL 64.78977 19.321583 \nL 65.114745 19.346998 \nL 65.43972 19.674624 \nL 65.764694 20.303646 \nL 66.414644 22.458819 \nL 67.064594 25.790986 \nL 67.714544 30.266859 \nL 68.689468 39.024252 \nL 69.664393 50.055091 \nL 70.964292 67.864514 \nL 72.589168 94.090158 \nL 74.863992 135.226551 \nL 78.113741 193.783848 \nL 79.738615 218.956398 \nL 81.038515 235.636948 \nL 82.013439 245.682846 \nL 82.988364 253.361097 \nL 83.638314 257.077102 \nL 84.288263 259.625884 \nL 84.938213 260.981957 \nL 85.263188 261.208033 \nL 85.588163 261.131789 \nL 85.913138 260.753417 \nL 86.238113 260.073867 \nL 86.888063 257.818777 \nL 87.538014 254.38905 \nL 88.187964 249.818932 \nL 89.162889 240.928457 \nL 90.137813 229.777106 \nL 91.437713 211.831195 \nL 93.062587 185.481269 \nL 95.337411 144.270252 \nL 98.58716 85.819101 \nL 100.212034 60.787076 \nL 101.511934 44.253913 \nL 102.486859 34.335185 \nL 103.461783 26.795219 \nL 104.111733 23.176041 \nL 104.761683 20.726682 \nL 105.086658 19.948802 \nL 105.411633 19.471631 \nL 105.736607 19.29636 \nL 106.061582 19.423422 \nL 106.386557 19.852503 \nL 106.711532 20.582534 \nL 107.361482 22.937384 \nL 108.011432 26.464432 \nL 108.661381 31.128457 \nL 109.636306 40.151377 \nL 110.611231 51.422435 \nL 111.91113 69.503542 \nL 113.536005 95.975877 \nL 116.135804 143.306014 \nL 119.060577 195.599481 \nL 120.685456 220.489207 \nL 121.985355 236.873812 \nL 122.96028 246.664656 \nL 123.935205 254.065797 \nL 124.585154 257.58787 \nL 125.235104 259.937613 \nL 125.560079 260.665061 \nL 125.885054 261.091546 \nL 126.210029 261.216 \nL 126.535004 261.038122 \nL 126.859978 260.558356 \nL 127.184953 259.777892 \nL 127.834903 257.323438 \nL 128.484853 253.699298 \nL 129.134803 248.941664 \nL 130.109727 239.786907 \nL 131.084652 228.396911 \nL 132.384551 210.181857 \nL 134.009426 183.588962 \nL 136.609225 136.190245 \nL 139.209024 89.433454 \nL 140.833898 63.856865 \nL 142.133798 46.748568 \nL 143.108722 36.331802 \nL 144.083647 28.24896 \nL 144.733597 24.248948 \nL 145.383547 21.408035 \nL 146.033496 19.754617 \nL 146.358471 19.378841 \nL 146.683446 19.305205 \nL 147.008421 19.533876 \nL 147.333396 20.064291 \nL 147.983346 22.024283 \nL 148.633295 25.165617 \nL 149.283245 29.456895 \nL 150.25817 37.953124 \nL 151.233094 48.746862 \nL 152.532994 66.286667 \nL 154.157868 92.264765 \nL 156.432692 133.247363 \nL 159.682441 191.99965 \nL 161.307316 217.440988 \nL 162.607215 234.405413 \nL 163.58214 244.69713 \nL 164.557064 252.643334 \nL 165.207014 256.547312 \nL 165.856964 259.289354 \nL 166.506914 260.842062 \nL 166.831889 261.167093 \nL 167.156863 261.189912 \nL 167.481838 260.91046 \nL 167.806813 260.329431 \nL 168.456763 258.269235 \nL 169.106713 255.029883 \nL 169.756663 250.643748 \nL 170.731587 242.013236 \nL 171.706512 231.097484 \nL 173.006411 213.418757 \nL 174.631286 187.312784 \nL 176.90611 146.249906 \nL 180.155859 87.595686 \nL 181.780733 62.291401 \nL 183.080633 45.47205 \nL 184.055557 35.306108 \nL 185.03049 27.497107 \nL 185.680455 23.689465 \nL 186.33042 21.046546 \nL 186.980385 19.594763 \nL 187.305368 19.320549 \nL 187.630351 19.34862 \nL 187.955333 19.678902 \nL 188.280316 20.310567 \nL 188.930281 22.470992 \nL 189.580246 25.808325 \nL 190.230212 30.289209 \nL 191.20516 39.053729 \nL 192.180107 50.09108 \nL 193.480038 67.907959 \nL 195.104951 94.140489 \nL 197.379829 135.281117 \nL 200.629656 193.832442 \nL 202.254569 218.996875 \nL 203.554499 235.668797 \nL 204.529447 245.707167 \nL 205.504395 253.377175 \nL 206.15436 257.087376 \nL 206.804326 259.630162 \nL 207.454291 260.980118 \nL 207.779274 261.203106 \nL 208.104256 261.123762 \nL 208.429239 260.74229 \nL 208.754221 260.059652 \nL 209.404187 257.798421 \nL 210.054152 254.362674 \nL 210.704117 249.786728 \nL 211.679065 240.88798 \nL 212.654013 229.729095 \nL 213.953943 211.774604 \nL 215.578857 185.41681 \nL 217.853735 144.201075 \nL 221.103561 85.757102 \nL 222.728474 60.734565 \nL 224.028405 44.211417 \nL 225.003353 34.301383 \nL 225.978301 26.770909 \nL 226.628266 23.158425 \nL 227.278231 20.715964 \nL 227.603214 19.941592 \nL 227.928196 19.467942 \nL 228.253179 19.296216 \nL 228.578162 19.426834 \nL 228.903144 19.85946 \nL 229.228127 20.593024 \nL 229.878092 22.954892 \nL 230.528057 26.488813 \nL 231.178023 31.159484 \nL 232.152971 40.191824 \nL 233.127918 51.471438 \nL 234.427849 69.562254 \nL 236.052762 96.04343 \nL 238.652623 143.378723 \nL 241.252484 190.220604 \nL 242.877397 215.92061 \nL 244.177328 233.160727 \nL 245.152276 243.692273 \nL 246.127224 251.900698 \nL 246.777189 255.989043 \nL 247.427154 258.920944 \nL 248.077119 260.667104 \nL 248.402102 261.089612 \nL 248.727085 261.210076 \nL 249.052067 261.028196 \nL 249.37705 260.544429 \nL 249.702032 259.759987 \nL 250.351998 257.297663 \nL 251.001963 253.66582 \nL 251.651928 248.900737 \nL 252.626876 239.735453 \nL 253.601824 228.335922 \nL 254.901754 210.110071 \nL 256.526668 183.507419 \nL 259.126529 136.103205 \nL 261.72639 89.354272 \nL 263.351303 63.789062 \nL 264.651233 46.69298 \nL 265.626181 36.286909 \nL 266.601129 28.215831 \nL 267.251094 24.224122 \nL 267.90106 21.391789 \nL 268.551025 19.747131 \nL 268.876007 19.375789 \nL 269.20099 19.306598 \nL 269.525973 19.539716 \nL 269.850955 20.074577 \nL 270.500921 22.043389 \nL 271.150886 25.193375 \nL 271.800851 29.493064 \nL 272.775799 38.00125 \nL 273.750747 48.805916 \nL 275.050677 66.358243 \nL 276.675591 92.347969 \nL 278.950469 133.338003 \nL 282.200295 192.081367 \nL 283.825208 217.509962 \nL 285.125139 234.460767 \nL 286.100087 244.740594 \nL 287.075035 252.673784 \nL 287.725 256.568581 \nL 288.374965 259.301142 \nL 289.02493 260.844165 \nL 289.349913 261.164306 \nL 289.674896 261.182234 \nL 289.999878 260.897878 \nL 290.324861 260.311972 \nL 290.974826 258.242066 \nL 291.624791 254.993209 \nL 292.274757 250.597846 \nL 293.249704 241.954223 \nL 294.224652 231.026539 \nL 295.524583 213.334174 \nL 297.149496 187.215596 \nL 299.424374 146.144846 \nL 302.674201 87.500835 \nL 304.299114 62.210693 \nL 305.599044 45.406374 \nL 306.573992 35.2535 \nL 307.54894 27.458823 \nL 308.198905 23.661226 \nL 308.848871 21.02863 \nL 309.498836 19.587349 \nL 309.823818 19.318411 \nL 310.148801 19.351768 \nL 310.473784 19.687325 \nL 310.798766 20.324254 \nL 311.448732 22.495097 \nL 312.098697 25.842596 \nL 312.748662 30.333309 \nL 313.72361 39.111708 \nL 314.698542 50.16164 \nL 315.998473 67.992747 \nL 317.623386 94.238254 \nL 319.898264 135.386751 \nL 323.148091 193.927216 \nL 324.773004 219.077115 \nL 326.072934 235.733782 \nL 327.047882 245.758982 \nL 328.02283 253.414654 \nL 328.672795 257.114797 \nL 329.322761 259.647262 \nL 329.972726 260.986727 \nL 330.297709 261.20444 \nL 330.622691 261.119821 \nL 330.947674 260.733086 \nL 331.272656 260.045196 \nL 331.922622 257.773596 \nL 332.572587 254.32773 \nL 333.222552 249.742015 \nL 334.1975 240.82949 \nL 335.172448 229.658132 \nL 336.472378 211.68954 \nL 338.097292 185.318951 \nL 340.697153 138.048375 \nL 343.621996 85.66296 \nL 345.246909 60.65513 \nL 346.54684 44.147364 \nL 347.521788 34.250589 \nL 348.496736 26.734512 \nL 349.146701 23.132097 \nL 349.796666 20.699982 \nL 350.121649 19.930837 \nL 350.446631 19.462451 \nL 350.771614 19.296 \nL 351.096597 19.431893 \nL 351.421579 19.869794 \nL 351.746562 20.608597 \nL 352.396527 22.980811 \nL 353.046492 26.524826 \nL 353.696458 31.205242 \nL 354.671406 40.251305 \nL 355.646353 51.543302 \nL 356.946284 69.648087 \nL 358.571197 96.141862 \nL 361.171058 143.48441 \nL 363.770919 190.316876 \nL 365.395832 216.003084 \nL 366.695763 233.228433 \nL 367.670711 243.747091 \nL 368.645659 251.941421 \nL 369.295624 256.019829 \nL 369.945589 258.941504 \nL 370.595554 260.677222 \nL 370.920537 261.094466 \nL 371.24552 261.209667 \nL 371.570502 261.022512 \nL 371.895485 260.533494 \nL 372.220467 259.743813 \nL 372.870433 257.271155 \nL 373.520398 253.629242 \nL 374.170363 248.854473 \nL 375.145311 239.675551 \nL 376.120259 228.263715 \nL 377.420189 210.02404 \nL 379.045103 183.408987 \nL 379.370085 177.707389 \nL 379.370085 177.707389 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482813 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p29b99ca597\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAi8AAAGdCAYAAADaPpOnAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAACIPUlEQVR4nO29eZRc1XUv/Ls1d7d6kLrVLQm1BkAgYcCAZEBisBPbsvEUO8mzCYlwYkzCB8TGJH6G8PIZs1ZQQmIeSTBgcByebezw3uchdkIU9GIzOMxCMsTIEiBAElKr1eqhqqea7v3+uHXuvdWq7q5bdYZ9rs5vLS2b7hru6bPPHn97H8txHAcGBgYGBgYGBpogpvoBDAwMDAwMDAzCwDgvBgYGBgYGBlrBOC8GBgYGBgYGWsE4LwYGBgYGBgZawTgvBgYGBgYGBlrBOC8GBgYGBgYGWsE4LwYGBgYGBgZawTgvBgYGBgYGBlohofoBeMO2bRw6dAjt7e2wLEv14xgYGBgYGBjUAcdxkMvlsGzZMsRic+dWIue8HDp0CP39/aofw8DAwMDAwKABHDhwAMuXL5/zNZFzXtrb2wG4i+/o6FD8NAYGBgYGBgb1IJvNor+/37PjcyFyzgsrFXV0dBjnxcDAwMDAQDPUQ/kwhF0DAwMDAwMDrWCcFwMDAwMDAwOtYJwXAwMDAwMDA61gnBcDAwMDAwMDrWCcFwMDAwMDAwOtYJwXAwMDAwMDA61gnBcDAwMDAwMDrWCcFwMDAwMDAwOtYJwXAwMDAwMDA60gxXm55557sHr1amQyGaxfvx5PPvnknK/P5/O45ZZbsHLlSqTTaZxyyin45je/KeNRDQwMDAwMDIhD+PUADz/8MG644Qbcc889uOiii/D1r38dl112GV555RWsWLGi5ns++clP4siRI/iHf/gHnHrqqRgcHESpVBL9qAYGBgYGBgYawHIcxxH5BRdccAHOO+883Hvvvd7P1q1bh49//OPYunXrca/ftm0bLr/8cuzbtw+LFi0K/X3ZbBadnZ0YGxszdxsZGBgYGBhogjD2W2jZqFAoYMeOHdi8eXPVzzdv3oynnnqq5nt+/OMfY8OGDbjjjjtw0kkn4bTTTsOf/umfYmpqqubr8/k8stls1T9qePSXA7j/idcxNllU/ShCMFUo49tPv4n/b8dB2LZQX1gZDo5M4ms/ew3Pvzms+lGE4fk3h3H3T1/FodHaZ0132LaD7+84iG89/Sami2XVjyMEY5NFfP3x17H9lSOqH0UY9h7J4e6fvopfDdDT9bzwf185gm88uQ8jEwXVj0IWQstGQ0NDKJfL6Ovrq/p5X18fBgYGar5n3759+PnPf45MJoMf/vCHGBoawrXXXovh4eGavJetW7fiK1/5ipDn54HvPbcfN//gZQDAIy8P4Af/zybEYvPfmKkTvvDwLmz7pbuf+49N4MbNpyt+Ir4Ymyzit+59CkeyecQs4J/+cCPOXx0+K0gZT79+DFd84xk4DvCdZ/bj0RsvRUcmqfqxuOKr2/fgaz97HQDw7L5hfO13z1P8RHxRth1c+c1n8YuDYwCAO377bHxyQ7/ip+KLA8OT+PjX/hOThTLueex1/MsfX4yTFy9Q/Vhc8YMXD+LG//0LAMAPd76NH113EZJx01szE1L+IjOvt3YcZ9Yrr23bhmVZeOihh3D++efjQx/6EO688048+OCDNbMvN998M8bGxrx/Bw4cELKGRlAs2/jqo3u9/951YBSPRiwieungqOe4AMD9EYwWvvX0mziSzQMAbAf4m0f3KH4i/vif2/eCFZAHstP49tNvqX0gzhieKOCBJ9/w/vtfXz6M/3p7TOET8ce//3LAc1wA4G/+fQ9KZVvhE/HHPY+9jsmCmzWbLJRx989eU/xEfFG2nSqb8ctDWTzy8mGFT0QXQp2Xnp4exOPx47Isg4ODx2VjGJYuXYqTTjoJnZ2d3s/WrVsHx3Fw8ODB416fTqfR0dFR9Y8Knnz1KIbG8+hZkMbVl6wG4HrVUcIPd74NAPiNc5Zh3dIOTBdtPPJf0Tps/1pRHl/8wOmIWcBzbwzjwPCk4qfih8HcNJ5/yy2H/enm0wAA34+YnD7y8mEUSjbOPKkDHzl7KQDgBy++rfip+ILJ6WcvXo3uthQGc3n8/LUhxU/FD2Xbwb9XAqU/eb8rp//28gAmC9Fp5nj+zWG8PTqFrtYkrnn3KQCiJ6e8INR5SaVSWL9+PbZv31718+3bt2PTpk0133PRRRfh0KFDGB8f9362d+9exGIxLF++XOTjcseTr7qK4wPv6MNvnHMSAOA/XxuKVDT0n6+xNS7xjMJ/7B5U+UhccWh0Cr8ayMGygCvOX4F3rXLLRT/bE501bn/lCBwHeGd/Fz69aRXiMQv7jk7g7QhxXzw5PWMJPvrOZQCA//hVdLKgxbKNJ/YeBQB86Oyl+MCZSwAAP/tVdOT0+TeHMTxRcA37e07BSV0tmCqW8fybI6ofjRuYnL7ntMX47fWuzXjq9aFIOWi8ILxsdOONN+Ib3/gGvvnNb2L37t34whe+gP379+Oaa64B4JZ9rrzySu/1V1xxBbq7u/EHf/AHeOWVV/DEE0/gi1/8Ij7zmc+gpaVF9ONyxbP73Gj2wpO7sW5pB9ozCUwUyth9OKf4yfhgMDuNvUfGYVnAxpO7cfGpPQCAHW+NQHATmzQ8tsc1COf2d2FhWwqXnrYYAPDMvmMqH4sr2Bo3n9GH9kwSZy5zs5fPvxENcnLZdvDU6+5+XbSmBxtP6YZlAW8dm8TRXF7x0/HBi2+NIDddwsLWJN65vAuXrmFyGo09BHw5/fW1vUjGY7jgZDeQeCFCJHoW8F50ag9O7W3Hko4MimUHLx+MVomTB4Q7L5/61Kdw11134bbbbsM555yDJ554Ao888ghWrlwJADh8+DD279/vvX7BggXYvn07RkdHsWHDBvzu7/4uPvrRj+Lv/u7vRD8qV4xNFrG7woa/4ORFiMcsbFi5EAAi07HCDMKZyzqxsC2FdUs7kE7EMDZVxL6hCcVPxwcvVMopF1eMwbn9XQCAXxyIjjJ56eAoAHgkZJZdioqc7j6cxdhUEe3pBM4+qRMdmSTW9Lokz10HRtU+HCe88Jabfdh0ag/iMQvnregCALw6mItM1O7J6apqOX0uIk52brrorfGiSiB4bmUfd0ZETnlCCmH32muvxZtvvol8Po8dO3bg0ksv9X734IMP4rHHHqt6/dq1a7F9+3ZMTk7iwIED+OpXv6pd1uXFAyNwHGB1Txt62zMAgA0RMwqM8Li+4pSlEjGcvdzlKu3cP6rqsbjilUOuA3r2Se66zqys7+3RKRwb1z9qH8xOe11UZyx1My5RldN39nchUenaOLffldkX90ej5MDk9KyKnPZ2ZLCkIwPbAf7rbf1bih3HwcuVfTyrcgbftcrdw10HRlEo6V+K/9VADrYDLO3MYFmXa+885yUicsoTpv9KEPYMuKWhdyzzCcQsan/lsP7KBHAPGwCsW9ru/ezcFa5CicJhmy6W8dqgy706o7KPHZkkTl7cBgB4KQKpXGYQTlm8AG1pd3ICU5ivDY5HYh5KLTk9b2UXAGBXRJzsXx5y9zGob1ggwaJ5nfHWsUnkpktIJWI4rc/dx1MWL0B7OoF8yca+ofF5PoE+flWxC+uWBmyGp09HVTwSaRjnRRD2VhTm6X2+wlxT+f/7hycjYhTcw7Z2iX/YWPT+6hH9lcmrR8ZRsh10tSaxtDPj/fydy7sA+IZfZ8yMZgGgtz2NjkwCtgO8EYHy3+4aRuGMpe56Xx3Un382ni/hzWNu99sZS493XqIkp+uWdngzTyzLwql9bvkvCvrmlcPHO9lsPwdzeYxORmsERbMwzosg7K0oxdOW+ILYsyCFha1JOA68iF5XHM3lMTRegGXBi4QA4NQKl+D1o3qvDwBeOexHs8G5RGy9UVgjU/pBo2dZlrfGvUf0Nu6O43iZl6CTzbJnQ+MF7Y0Ci9iXdGTQvSDt/TxSclrRl+sC+hQATuttr/q9zqgVDLalE1hWCZyisI88YZwXASjbjmcUgpkXy7KwxjtsehsFdtBWd7ehJRX3fs6MwrGJgvbD6l4/6mYd2J4xrO5x17jvqP5ZCUasZvvGsCYiEe1AdhpjU0UkYhZO6fXXGCWjwJ6f7RkDmzz7xtEJ7bv/9lXWOLuc6q1PHcfxqAbBzAsAnMICwkH99Q1PGOdFAA4MTyJfspFOxNC/qLXqd1ExCqycwA4WQ2sqgZMqZDPdjQJbI3NWGE6pKNA3hvQ2Crbt4E1vjdX7GBUn+42Kg7miuxXpRLzqd0x2dc+CvjHkloxmyumKRa2IxyxMFMrehGhd8cZsctoXjczLYC6PyUIZ8ZiFld0z9U1FTjXXp7xhnBcBePOYb/TiM+4xWhMRhflWpca+coZzBkTHKLxV2cdVM41Cdytilss10HlOyJHcNKaKrsJcvrC6m+/UqOzh8BxyupiVOPWOaD05nWH0UokY+iv7qjOh1XEcz3mZmXlhcvrm0ITWwz+ZPl3WlTnuHiM/86LvHoqAcV4EgI2On5l1AVzDBwAHRvSeXuo5L93Hr/FkVlbRmOxp2463xlUz1phOxL291dnweVmJRa3HKUy2rwdHprTOLrFAYmY0C0THKDDDvqqnxlmsOGg6lziDWYn+hdVrXNqRQSoeQ8l2cHhsWtETNg/mgK5cVENOKw6b7pls3jDOiwDsrzgvK2o4L+zwHRye1Noo7B9m6fjjDxtb98ERfe//GchOI1+ykYhZXhksCJai17kbZ98sZTEAWNbVgpgF5Eu21tml/cfmCCQW+Q6arnCcoJN9/D5GQk4rjlf/whakEtUmKxazcFIlu3RAY33D9nBFjWCQyemh0WnYtr42gzeM8yIAB4ZdZVjLeVlecV5y+RLGpopSn4sXHMfxHLRa6XhWgtDZKLCIvX9RqzfYLAjmhL49qq/CZBnCWtmzZDyGpZ3RMQpzyenbo/pmlwZzeUwVy4hZvm4Jot87i/ruIZPTWoESENA3w/rqm7nKm0s6MojHLBTKNo5GYDAmLxjnRQD2e2Wj4yP2llQcPZV2xgOaHrbBXB7TRRvxQNQTBFOiOjsvB+dwQAF4635b4zWyixdrZZYA3yjoKqdVTnYNB42te1zjQIIZ9qWdx2clAOCkhX7Urivmk1OWVdPZyd7vlTePl9NEPObNmdLZCeUN47xwhuM4fqQwi+FjTo2uh81XmMeTywDfsA9PFLS9V+XQmKswl3Vlav6eKVKdb16u2ygM6ymno5NFjOdd+atVNsok41jc7gYSujrajOcx2x5GS05rn0WWBdVVToFgwFvbZkQhm80bxnnhjLGpInIVhVkrjQvof9gOVRTmslkUZmdLEh0Zd9S8rpmJgcoal3TMYhQikHk5xIxCjewZEJBTTZ1s5oB2t6WQScZrvoYZd10jWk9OO+d2srUOJOaTUy8Y1PMsThfLGJl0M3+zO6H6Z7N5wzgvnMEiobkUJjtsugri4YoyWTaLwgT0Lx2xfVw6yxqXV5TMQHYaRQ1bNAslG4MVIu5sTqj+clrZw1kidkD/iHY+Oe1oSWBB5c6qQ5pmXw55+mZuJ1tXB5TtYUsyjs6WZM3XLI8Ad4k3jPPCGUeyriD2dsyuMJd0+oZPRxz2or3Zb/o+SfPDNl9E27MgjVQ8Btvx91wnDIxNw3GAdCKG7rZUzdewtWsrp1lm2GeXU92d7IGs+9yzyallWYHskn5rtG3H4+vMlnlhjtvRXF7LWS+HKxnCpV2ZqmtIgtDdyRYB47xwBjNkSzrSs75mScWx0dHoAf5hm40PAvhZGW0N3zxrjMUsL6LXsXQU5LvMpjCZnLqOjn7dOCxDOFtWIvi7AU1nhMyXeQF8o68jaXdoIo9C2UbMAvpmCQi7F6QRj1mwHWjZjeNlCOfYQ5Yd1VVORcA4L5wxMOYentkOGlBtFHSEzweZfY293hr1UyYT+RKy0y4/YK7s0lKNHTQvFT9LyQjwo/nJQtnjcekE37DPvkZ2TnXcQ8A3fPXIKXPIdQJzuPo6ajcHAEA8ZqG3QrzWUacO1JEh7KsEw7rKqQgY54UzjuT8wzYbmFE4Op7Xki9xqA6jwBybwZx+h40Zvfa0zxeohd72yho1vDemHjltTSU84vURDY2Cl46fI6JlRmFQQ6NQKtve+ZprjUxOdRw2yLLTc8kp4OtUHbPZXpZ3Tjl1f5ebLmlLvOYN47xwBlPycx227rYUknELjqOfQimUbAxVUrNzESH7NM4uzcd3YWDRno4OGpM71io8G3TmvdRTUmHrG8zltZteenQ8D9sBEjHLmx1VC73MQdNM1wAh5FRjfVNP9mxBOoHWlNsAovslm7xgnBfOYBHtks7ZD1ssZnnRkG5GYTDnEj1T8RgWtdYmegJ+RKtzJDSv81JZo24OKOAbst55jAJzQnW7N8ZxHM+QzZUhXLwgDcsCSraDYxMFWY/HBYcDgdLMC2CD0NnJDi2nGuobv2w0u76xLEt7riRvGOeFMxjHgzkns8FLc2pmFIKRUGwOhdlXWV92uoSpQlnKs/HCQB0ROxAoG2novNQb0S7VVE5z+RLyJbckO9caE/GYl7XQzSjUmyFk69exvBk2Q6ibnAL1r7FX44BQBIzzwhHFso1jE64gzqdQlmga0bKD1rNg9qwL4PJFWpIszanXGln0NlcaFwhGtPoahfki2iWaElrZ+hakE2hJ1Z63xKBrRHu47vKm+/tjEwWUdSuNVbJF8wWDupLn7UDGr97SmG5yKgrGeeGIo7k8HAdIxq05SyqAL6hDmrX2DY3Xd9Asy9KWRFdPNxUQjGj1Wh/gP/N8+7i4Q0+y51Cd0SygbyeHP5ZhbjntWZCCZQFl28GwZqWxerMS7Pe6yenIpOtQWhawaJZ5Swx9GndwioBxXjiCKb/e9sycJRVAZ+eFZV7mNwosqj+imUJha5wvK8Giwex0CdNFfUpjE/kSJiqlvLmGKQLA4kqGTTc5PTpeX4YQ8P8GuhEh63XQEnF/EKFuvJd6OS+LFzB9qplzVpHTha2pWVvBGZjzckSzPRQF47xwxKDX1je/YWfK5Jhuhy1ERNtTec0xzQwf25PueQxfR0vCu8lXp4iPPWtrKj5nKzjgDgADoB2ZdShXv5PNXqObnB4NEUgs1pCfZduOX96cR6cyOR2bKqJQ0mf8xFDOPVf1ONm66lNRMM4LR7DIbb6ZBICvcHSLaMNkXno0dNAcx6nbKFiWpSXvha2vLgeUyalG6wPqL28CvuHQSU6B+p1swM9c6ORkj04VUapwdLrb5t7Hrpak13GlU2ns6Hh95VtAT30qEsZ54YihEEah20vH6yWIR0NEtH7Uro/CHM+XvMgtnFHQJ5XLuk7mS8UD/t9golDWqmssjJz2aCinQCCQmMewA3o6L6zEtagt5WU4Z0MsZnmcEZ0CQj/zEkaf6mUzRME4LxzBHJH5iFdAdeZFp3tjGnHQjub0OWwsqmlNxdGamrukAujZLs0crXr2sD3tl8a0Mgph5FTDiNYOkG972ufXNzqSy70SdR2GHdAzm+1lQetyXtx9HpksaHkBJW8Y54UjhiuRW3eIaC9fsjGu0b0xzEGrp0bLUr06RbRhymKAnjM0fBLk/OVNy7ICZEh91hiGD9Kt4fqy035JpZ5gScfyppchrINDCPg6SadstsfNqsPJXtjqdo05DjAyWRT9aORhnBeO8GrQdSiTllQcbZX5E7octqlC2XO06oloF7frF9EOheARAHpOLw1Dugb0LHGGaZVmRi87XUK+pEdpjDlaHZkE0om559gAfkeVTs5LmKwEoCfxOswa4zF/BIdOjrYoGOeFI1gat55ICNCPPc4OTDoRm7dLBQhkXjRZH+CvcT6CIMNibw/1MeyDDabjddlHx3FCZQg7MkkkNCN7+usLJ6c6GT2WeVkcOvOizxqPhsi8AH4goZO+EQXjvHCEX3Koz3np1oxgNhiIZi1r7jk2gJ5kz2Nel0p9e7iwsofDk/ookzBcCUA/Oc1OlVCocALqMe5BsqcuRiFseXNhJWLXxTkD/DJ8PYRkIFj+02eN4W2GfqV4UTDOCycUSjay025JZVGdh61Hs8MWVmEuCJA9dTls7Dnrzbwww66XUXCfdeE8U6AZetr1klOWim/PJJBJzl9SAfTjvYRpkwZ8Oc1Nl1DUhOw5XOF1LKw3k63ZHgYnHke5hCsKxnnhhJFK5B2z3JkD9aBHs1RumA4OwCV76jabIGwktFBj56VeB003oxC2SwXQb9YLK+HV67x0tiTBhn6PaCKrXgNE3c6LXob92EQetgP3aoB6AwnNSrgiYZwXTjgWaJOe72oAhh7N0vFhpkEy6OegsYi2PsPHlE5uuqTFZM+pQhlTlasMFrbV6WRrxiXwsmch5NRrl9YkQ3g0JOclFrP80pEmJc6RicYyL7oYdmYzFramkJjnagAGHdv6RcE4L5wQttwABAm7eggiyy7VS0gG9DtszUS0oxoYBbaHybhVF+kaCBoF+usD/MxCGDnVbY2+nNavb7wsoSZr9BogwmYlJgqwNbg9uxE51XHwpygY54UTwnYaAb6jo0tEywxfvVwJIMAl0OSweWPlG4hodZh8GeS71EO6BoJ1dj32cLgSsTdiFHQpOXgl3BDZpUUakcsbyRCy9ZVtB6NT9OegsFktC1vrWx+gX2lMJIzzwglh54MEX6uD0QPCEz0BvVr7CiUbYxWlFyaiZUpTBy5BM072yGQRZR0i2opx7mpATnVx0JjOCCWnrRrJaWUPU/H6xjIAQCoRQ0fGfa0OpaPhJoJBk3kxzgs3hCWXAb7QjmoyLZE9Z6h0vEazXkYbIF0DfjpeBye0kdJfVyAyHNMiog1XbgAChF1NjMLwePh91EpOWaDUlqw7QwgEAgkNdOpoQ+VNfYJB0TDOCyccC0n0BPx04eikHjVaFrV3hUhzLtJJYVYUXmdLsm7SNeA7rCMapOO97FkIhZmMx9BeiX51WONIyBZbwB9voAMfpFi2katMug4VtWuYIQyzPsDPtukgp8MNZAiZPp3UaHaWKBjnhROONeBFM6G1HfeuEupoJGpn9WodskuNcHqAQESrgeHz26RDGoXKPupg+LyoPYSTzV6rRcReeUbLch3teqFT5sWT0xBleKA6IKQOn7Bb/x4uSCe8adA6OGgiYZwXTjgWcj4I4NZoF3gRLW2lOV0sY7Li6YeJFHSKhEYnw2eWAE0zLyEdNI8vQVxOgcayS10t7munimVMF2lHtExOOzJJxKOeIQwbSGgkpz5ht/41Wpbl6VQdAkKRMM4LJzBBCmPY3deziI+2QmHri8csjxRXDxh3ZEyDg9aIMgm+XoeItpHsGaCnExqG89KeSXgt79R5PY10qQB6ZQhPBDltNNPbpVF2SSSM88IJrDWvUcNHXRD9gxaOQMfWl8vTH0veSJcKoFe3kTcYK6RR0CUdny+VMVHJEIY5i7GYpY3ha1ROdcq8HGs481KR0wnaDigQ0KkNnkUdsksiYZwXDrBtp+GSg5d5IX7YRhpUJh0tSVjeEDfaaxxtMKL15mdo4LwwhRma86JJOj6YIWwPkSEE9DmLo4FAIgyCV1k4Du0GgZEGOS9dGjlo3gTh0DZDnzWKhHFeOGC8UAJrFgpDoAOCNVragjjcYJQQj1ne34R61D7SAFcC0Mt5GZ6IdoZwOEDWDdMx5r5HjzU2Wt5kZbRi2cF4pVuJKhrnvOjRIFAo2d4ehC2N6ZIFFQ0pzss999yD1atXI5PJYP369XjyySfret9//ud/IpFI4JxzzhH7gE2C8TkyyVjdt9gy6HLYGq2zu+/RI2of8XhLjWVeRiZpR7S27TTMJVjYpkdWYmSisZIKEDiL5Dkvja2xJRVHS0U/UXe0GxmmCOgTDAZnSnVkGgt4qdsM0RDuvDz88MO44YYbcMstt2Dnzp245JJLcNlll2H//v1zvm9sbAxXXnkl3vve94p+xKbhkXVbwitMpoCoj+xu5B4OBpZ50UWhNJqVKJYdj29BEbnpkjcht96R6wy6pKqZAxqGrMvQ2aLHGkcbLDcA+gxxa3hsgSaBUnDGS9gMYafhvACQ4LzceeeduOqqq/DZz34W69atw1133YX+/n7ce++9c77vj/7oj3DFFVdg48aNoh+xaYxONcZ3AfRJATYa7QH+Gql3HI00yFvKJGNIJdyjRHkfmZy2puJIJ6KZIRxucA8BfdboyWkDgUQH6/4jnF1yHMfnn4V0sv25UrSzoI3yXdz36FHeFA2hzkuhUMCOHTuwefPmqp9v3rwZTz311Kzv+8d//Ee8/vrr+PKXvzzvd+TzeWSz2ap/ssEOWli+C+DzK3RJxzcS0eqTym2MS2BZltcSTtnwNSWnmuxhMxnChZp0jTVKLAcQkFO6a5wolFGqZAgb5RCWbMebQkwRjWaW3PfokckWDaHOy9DQEMrlMvr6+qp+3tfXh4GBgZrvefXVV3HTTTfhoYceQiIxf7fA1q1b0dnZ6f3r7+/n8uxhwGrkjUR7uqTjhxvkg7jvoZ/KdRyn4XZ3wFeyWcIRLYu2G3FeugJZCdIRbYPEciA4c4nuHgLNGT62RsqZF/ZsqXjM4+jUi0wyjkyykgUlHBA2J6eG8wJIIuzOnAviOE7NWSHlchlXXHEFvvKVr+C0006r67NvvvlmjI2Nef8OHDjA5ZnDYIylcRvgvOiSqh5tkOgJ6FEaywb4II05aPTJns04L8xQFsq2N2mZIhq5GoCBrXFsiq6cAo0TywF/7ymXcNmzuWMWwvFBAD2yhDzklLKukYFwgxBCoqenB/F4/Lgsy+Dg4HHZGADI5XJ44YUXsHPnTlx//fUAANu24TgOEokEHn30Ufz6r/961XvS6TTS6fovQxSB0SaUiQ4HDWicDxJ8D+U1MseqJRkP3TEG+GRPyk7oaBPOS2sqjlQ8hkLZxshkAW1poaqjYfhZ0GhmXlw+SOOZl06tnOzGZKyrNYXDY9PE9U3jWd6ZF/qGJfxGBUIzL6lUCuvXr8f27durfr59+3Zs2rTpuNd3dHTg5Zdfxq5du7x/11xzDU4//XTs2rULF1xwgcjHbRieUWjEealkMvIlm/QtoWNN8CV0KBs10woOBDMvdBVmtonypmVZWlyy2VRpzHNA6e7heL7k8UEaKhtp4GSPeQ0Q4dcH6JHNZnLa0YCcMjtjO24H4YkK4eHTjTfeiC1btmDDhg3YuHEj7r//fuzfvx/XXHMNALfs8/bbb+Nb3/oWYrEYzjzzzKr39/b2IpPJHPdzSmimVbotFUcybqFYdmdwtKRaeD9e07AD5LdGDpuXjiesTJrppgICdzhpEdE25qAtbE3hSDZPOqJtqjQWcM5mK22rBtM16UQMLalGMoRMTqO5h4Ae2exmnJd0Io7WVByThTJGJgsNBc1RgHDn5VOf+hSOHTuG2267DYcPH8aZZ56JRx55BCtXrgQAHD58eN6ZL9Qx1kSrNLsl9GjONQrLuug5L7l8CU6DE4QBvcpGYVszGXTgErA1NmoUdCirsOxS2MFfwPGdKo18hmg0Q9YF9CLsRllOeThok4UpjEwWsAptPB9NG0gh7F577bV48803kc/nsWPHDlx66aXe7x588EE89thjs7731ltvxa5du8Q/ZBPwMy+NCSK7pTk7RTMFyAxCJhkLPR8E8EtjlDtVGr0VnKFLo1R1Z4NrZMacakeV4ziBNYY/izp0qjTDrwMQ+Zb+4PuoyinAz0GjzF0SDXO3EQc0w3kBgqlcmoLY9EGrvI9yp0qza+z0OgDoZpeaXiNxOZ0qllEsNzYfhGEh8X3MTjdebgB0I+xG13nJciqNUeZniYZxXpqE4zheqaDRqJ36YWtWmbSm4khUGPFM+VIDy3o1WiowEa16sD2Mxyy0NcAHAeg7aNwcUMJZ0Kg72QDffTxRYZyXJjFVLKNQtgE0UTZiRoGoYW/2oFmWFTB8NEtjJ1K0dyLIaaNkW780RlNOm3ayA/N6pos2t+fiCbaPjZbGqMtpsWx7d6A1qm86Km3k2RO428g4L02CRbPJuIVWE+3NCup3qvjp+EZnS5w46Xiqe8hTTqkavmbX2BbIglItjUVdToPtzYzvGBYdGgRLomGclybhp+JTTUd7VA+b19bXRPeFT0qmvcbGeT1uRDtZKCNfosfr4RntkZfTppwX2mts1skOZkGpljibPYvUs2dsfQvSCSTijZlg6jZDBozz0iSauVGagXrJgY9RoH3YmmmxBYD2TALMd6W4xuAzNUz2jHjpL/he6mexqTUS74zjxc2ieA4BznJKNEMoA8Z5aRJjTbZJAyfGYaOejm+W/R+LWaQNH9vD9kwC8QbHiZ8Qcko8om3WyQZoD1S0bcfTEc12b04VyyiU6PF6ToRgUAaM89IkmrlRmoE6+apZwx58L9XDxv72zSgUyun4ZqNZIJCOJ+qA+uXNxmdv+k52dM9iF+ELKJsdiAkACwL7T1FWucgp8dlgMmCclyYR5Lw0CupeNM+IluJhK5VtjFeuP2jKKBB2Xng6oNmpImybXpst7zVSRNSdbJbJbnQgJuC2yrdn6HKXTNmID4zz0iR4cF50SVU3VzZi2SV6awyy/9ubiIY6CV9V32z7KeAbTNsBxgv0nFAuckrY6AF8DR9pOW0iGARoT4Pmo09p2wwZMM5Lk2jmtmUG6tFeMyPXGSiXjdgzuZdkNn4kmOHLEXTQmr3XCHDH56cS7t+HoqxGPaJ1HMfnvDTYbeS+l66+4bGHwfdT1jc85HQ8XyKZBZUB47w0CY9cxoH9ny/ZmC7Sa7PlWzaip0yaHbnO4BsFelmJsanmy2LB90fVKFA27JOFMkp2c9cfAEEnm6Kc8nFeKPMIeQS8LEPsODT3UQaM89Ikcl4NuvFIaEHKb7OlpjQdx/EUQFQJu7wUJlMoFKN2f43NpuPpEgX5Oi8lcuPzmVwlYhZako3xQQDanX+sDN9MlhfQRN80scZ0wr9ElOI+yoBxXpoEj9bFWMwi28kxni+hzCPaq7yXYpTQ7Mh1BsrZJc8onACZFx5k1kLZRp5Ymy2P6w8A2gMjeZeNToQ1UjyLMmCclybBshLtzRo+opM92fOk4jGkE42LC+WDxsPoBd9P00HjlY6PtlFoS8W9OTjUZDXLqfTnB0r05JRb2YhwIMFN3xBeowwY56VJ5Joc181AdXqpl5XgFO2N50solWlFtM2OXGfo0KBs1Ey3EUCX0DpdLHuZkmbS8ZZlkc1MeIMGuTnZtNYH8Bn6CegRLHHLLhHcRxkwzksTcNn/fEoOVA+bf9CaNOyBg0otM8E92iOoTHgMqQPotvUzRyNmuRyyZkC1DZVb9ozwzCUefBCANq+HdxaUmpzKgnFemkC+ZKNQySI0Mx8EoGsUeBn2ZDzm3bpNTaHw4C0BgQ4HykYhohGtf/1BErEGrz9goOqE8pjMCvhySnF8ftTltGw7yHEYiAnQJs/LgHFemgBTbjELaGsy2qNKMOMVJQB0Iz7emReK6Xg2QbhZJ5usnHIYWcBAtoTLaY0L0r4MUJNV/nJKaw+Df29e2XpqTrYsGOelCbCDwSXaIxop8DLswc+gtkYeI9eD789O02qzLZVtTBbc+UFRJ5ZzcbKJr7FZOU3EY2irZEGplXDHK8+zIB1tOW0JDHxsFFRthiwY56UJMI+32SgBoOtFizAKUV0ji6TKtuM5CxQwkfefpS3d+HwQICintIyeCCebXHaJU7cRQJcT4ndv8sm8UDPsJ4KcyoJxXpqAN6CuyWgWoOtFc3VeiPJ6cpy4BJlkDIlKBo6SUcjlK+3uicYvu2Oguoc8ppYykF0jJ25W8DOolVXGK7IaLG01gmAJl9L4fBH6lFogIQvGeWkCPO4ZYaB6IRyv0fkA3UiBV4eDZVkkZ72wZ2lv0iAAdJ3sLIdJ1wx0sxL8DB/FadDFso3pIqcGCKKXiPqjJ3jIKU2bIQvGeWkCftkouiTBcU5pXICm4XOvP+AZ0dKbEcKLBAnQdUD9NXIsqRA7i1yDJYKzXsYDDn+zmReql4iyzBJfOaWzPpkwzksT4DXjBaBp2AF4bX3NEugAmhHtVLGMYrn56w8YKK7RI0FydECpXSLKjDCX7BLVLCjXkgO9NlvmgLYk40g0cbs7A0XeS84jJPOQU3rrkwnjvDQBXtN1AboRbY5n5sUzCnQUJlPeiZjlzaFpBu0EjYLvgDa/h+1pmpeI5jg6aNTJ8zyDJUpr5LmHAM1sNk99SlVOZcE4L02Ab7mhksYNXIRIAR6BLqIlh2D7aTPXHzBQnPWS41jejMUsL7tBSWmOc3TQKGZBS2UbE5UONq6cF0Jr5Jk9A2hm0Dw55ZgFnS7ayJfoZEFlwTgvTcCf88Ihog18xgQhgtm4ALInJaPnZc84RXsUOwB47iHgO0GUSMk8uVkUnezg35pPFpTgHnLkZrmfk6z6XArgeRars6B01igLxnlpAjmOnTiZZBypSp2XikJxHIdvpECwRpvjdCs4g39FAJ018txDwDcuVOQU4LuPwSwolTZb3nwQioGEODkluEYOzkswC0pJp8qCcV6aQJbjnBfAP7RUDlu+ZHtkVh5GgaTR46hMAP/vRMko8CQJAjT3kadRYOtzCLXZ8uaDUJzzciLIKc8O1eDnULEZMmGclybgX+gXzcPGnsOygNZk82RWpjDHiawP4NuJAwS6OAitkXd2iaLCZM/CYx+DWVAqssq/pEKPt3QiyKmo7BKl0pgsGOelCXgTdjmUjYCAIBJTmAtSiabvbgL89bntyTRus/XmLvAiCRLkS/AkXQP0nOxgeZPXPi4gtkbuZFaCwxR5TddlYH8rUmvkzj+jt0ZZMM5LE+DZbQQA7WlaJQfeWYng55Bx0ESl44msDwB3w+4pTCLR3lSxDEZNiSpfgnfETnKYIkfSdfBzqMgpICLzQi+7JAvGeWkQxaqbeqMd7fGKhJLxGDLJSjqeiELhzXnxIlpCRoHnbAnAH1hIRWGy9cVjFlo4lDcBeoaPNx/Ek1NCoxl4r3EBxY4q7qUxWjZDJozz0iCCmQPukQIRQcxxrrO7n0Uru8S/zk6P8zLO2SiQk9PA+njM6mGfFfxs1RjnOOkaqD7TVLKgvr7hbdhp6BrbdjwCODcHjZicyoRxXhoEM75tKT6ti0CA0Jqncdj8kgofZQLQq0NzLxsRbEHNCSo5UDEKPDuNGKil43mXVNKJONLs7h9ia4wqN2uiUIJTSXLxnmVDZY0yYZyXBuHfDsrRsBM7bLy5EgBdUjLvqZ4FQnf/sL81N24WseFfvA178LPIySnHNVJztPmfRVrdjWx9iZjlOY7Nwu82orGHMmGclwbhj1znrzCpOS9CIloih40356UtlQBrzKJgFIplG1MVJyq6ZSMBZ5FYhjDLmX8G0Luckfc++iUV9ecQqM4s8SpvUjuLMmGclwbBu9MIoEeEzJ4IDhrH+SCAO/WSKU0KRmEikB1pi2idnbcDCtAtG/GSU4Bu5oV32WiiUCZBSs4KzBBSOYsyYZyXBnFClI0EKExqhk9kdolCWYX9ndOJGFLcUtVUDbuAs0hgDwHBckrkLPKfsOvLA4U18iZdA/54DSpyKhPGeWkQItK45JwXoREtjTXmOPNBAFp8Cd7dVO5nRV9OqY0tEMF5aSdUVimUbORL7uBKXrKaSsQ8bgmFMjXvAXUAvStlZMI4Lw1CiDIhxgcRSYSkcNjKtuPN6uGZXaK0RiFEz4qc5ks2CiX1k5KFnkUCewgE2915lqnpjJYPPkNUA0Lek64BWuuTDeO8NAgRJRVqgpgToDAp3cUxXsUH4TPcDAiUxkiskX+GMPi3omDceY/OB2jJKSCGL7GAUGmM6dPWVBxxDleRMFDK9PIeFgnQ66iSCeO8NAjRbcSOo55gJmZIHR0Hje2hm17m6LwQUigiFGYiHkNrKl71+SrB+8ZlgF63kQgnlNJZFFGGB2hlQXlzeoKfRem+OFkwzkuDENnhULIdTBfVC6KYNCeddLyIGjRAyyiIUJgArTVGnZtVLNuePuCaeUn7wZJqiCj9BT+Pwj7y7qaa+VkU9lEmpDgv99xzD1avXo1MJoP169fjySefnPW1P/jBD/D+978fixcvRkdHBzZu3Ih///d/l/GYoSCiw6EtFfdmhETVuFPqNspxbpNmaPe4BAT2UIDCBGjxs6I+pE5EuztAqzQmQp8CxEq4AvRpMh7z7vOisI8yIdx5efjhh3HDDTfglltuwc6dO3HJJZfgsssuw/79+2u+/oknnsD73/9+PPLII9ixYwd+7dd+DR/96Eexc+dO0Y8aCiIiBcsKzAhRrDQdxxGTjicUCYkoiwHEiJAnUHaJZ0cVk/lCWf2kZLa+TDKGJKerSABardIiyvAAsUwv57ubGJisUpnXIwvCnZc777wTV111FT772c9i3bp1uOuuu9Df349777235uvvuusu/Pf//t/xrne9C2vWrMHtt9+ONWvW4Cc/+YnoRw0FESRBgM6MkHzJRqky2Ilvmy0hZSKopEKpzdafWioooiWwRiGt0qkELC8LqnaNIuaDuJ9Hx+iJmJIc/DzVewjI4PWoX6NMCHVeCoUCduzYgc2bN1f9fPPmzXjqqafq+gzbtpHL5bBo0aKav8/n88hms1X/ZEBEtxFAh2DGDoJlAa1JfmTWYKpaNSlZlFGgxJfgfSkjQwchJ1RE+S8Ws7AgRessdvDOEBIqG4ngEALEgiXBJVwKGTSZEOq8DA0NoVwuo6+vr+rnfX19GBgYqOszvvrVr2JiYgKf/OQna/5+69at6Ozs9P719/c3/dz1QNxho+FFewctlUCMa+uiuz7bgTdjRRVEcCUAmmUjUXKqWmE6jiOs5EDFuIsgzgNBbhYhORW1RgKGXVgJ1+P1qHfQZEIKYXfmJVSO49R1MdX3vvc93HrrrXj44YfR29tb8zU333wzxsbGvH8HDhzg8sxzIagwhREhFUcKopRJS9Kf46DaQRPtgJJQmKK7OBQbvqliGezaGnFZUMVyKswB9SN21VnQ3AnAzRLFeaG0RpngKykz0NPTg3g8flyWZXBw8LhszEw8/PDDuOqqq/B//s//wfve975ZX5dOp5FOp7k8b72YLJTBznq7oDq0akHMCarPMlLy2FSxElFmuH5+GIjqNqKUeREx5wWgc4koW188ZnldF7xAJpAQ5GQzuWejGVpSfP9+YSDOsBMq4QoKCKnYDNkQmnlJpVJYv349tm/fXvXz7du3Y9OmTbO+73vf+x5+//d/H9/97nfx4Q9/WOQjNgR20OIxC5kk3z8hFS9aVCdO8DNVd1SJKhv561OfxhXH66Gxh8GsRD3Z3DCgYhREZUFbk3GflKy45CDKsFM5i7btCHNCKTloMiE08wIAN954I7Zs2YINGzZg48aNuP/++7F//35cc801ANyyz9tvv41vfetbAFzH5corr8Tf/u3f4sILL/SyNi0tLejs7BT9uHUhGM3yVphUBFHU3AWArXFK/RolcCXqLZGKgqjMCxUnW5RBAOitkbecxmJuFjQ3XcL4dAm97Vw/PhRETBAG6HT+TRT87xd3FtUHSzIh3Hn51Kc+hWPHjuG2227D4cOHceaZZ+KRRx7BypUrAQCHDx+umvny9a9/HaVSCddddx2uu+467+ef/vSn8eCDD4p+3LogR2HSSFXzVpgAHU6IMN5SJcvhVEjJPAeLhYWo8p/Pl6DBzRKTIaQRSIiYY8PQXnFe6KyRd1ccjRIu+/5k3PJuuuYFKk62bEjRqtdeey2uvfbamr+b6ZA89thj4h+oSYgyCACdwyZyjf69MURS1ZxLKplkDImYhZLtDvpT5bwUSjbyJf5j5QFfTlUrTFHzQYKfqXpSsqiSiveZY+r1jThiuT83S2UWdFxgeZPSpGSZMHcbNQCR0R6VNKcMzovqNYrKoFmWFSgdqTN8osbKA/TkVKyTrVpOxQUS5Hg9grhZZdtROpohK9ABpUIslw3jvDQAsQqThiCKIgkCwXtxohu1UzAKzDlrSca5jpUH6ChMkdwsKg6aqKyE+5k0JnqLKhtRGc0gijjvfiYNOZUN47w0ALFkVhqCKJLXs4AKr0dkBo1Au3RWUCs44P/NJgpllG11M0LE8s9oONmiBg0CNM5ivlRGoWxXPQ8vBO+LU5kFFTWgDqBjM2TDOC8N4ERQmKIioeBnqjxsZdvBRCWNLIa7pJ7sKUNhAmodNPbdvEfnA3TI834JVwxhF1BLng9+d1sqmqMZmOMkllhuykYG80BsGpeGwhRVgwZo3MURbF0URoSEYqMgUE7TiThSlVKUSlmVQyynEUiI7G6k4IC2pfwSD09Q6BoTSbqmdF+cTBjnpQGIGmUN+II4XbRRrKRSVUAoYZfAXRzMqUjFY0gn+E8W9erQCo2CSIUJ0MigiTUK6p3s4PeLKW+qz/SKbAUHaHQ3ynBAKdwXJxPGeWkAouaDANXCrZZgJp4vQYJAJ8iwU8i8iCSWA8T2MaIzl0plG1NFceVNCqRkWU42hSyoiDVSISXLhnFeGoDIVHUiHkNr5Y4RpYZPaHZJfUQrcg8BGoZPZOkPCHaqqF+jyLEFKknJE3k/khYxL8g37Ar38ERwsqcZN4v/WQySklXTDWTCOC8NQKTCDH6uqvs4HMcR2irNDppKAp3INC4QIEIq5RKIIwkGP5dC1C6EzEqAlMxKq+lEDCnOk1kBGnIqcmSB+7nqCa05gbN6ADq3vMuEcV4agMieffdz1RqFfMlGqRJpijQKSrMSAjk9AC3Oi+g1qu3iEOeEphNxz2FQJauibltmoFA2En4WCXQbCQ+WCJCSZcM4Lw1AfI1W7eAotj7Lcm+e5Q2WOs2XbBRKakjJ4rNn6pWJyPkgALHyn6h9VBxIyHJAKWTPRGclKHRUiZdTUzYymAOyarSquATe+lIJxAS0LralfYdIlUIRvYcLCHAJRM4HcT9XrZw6jiP0AlFAveGT5oASyBAK42YRmmUjuoSrujNOJozzEhJVClNwNKRKEEVHsxRIycKzZ4S4BMI6qhTL6WShDMajFeegqeVLyOoYUzkjRDQ3awGhzEu7MPK8+gyabBjnJSSmi7bXeRBVvoToKAEIrlGRURAc7VFolRadlVigmCTI1hePWcgkxagy1WUVkcR5wF9f2Xa8lmzZEK1vKM2yET2awRB2DWYFi8BilttfLwKq+RKioz1AfaQgvhOHEOclot1GQa6EZfEvbwLqo3ZPTgWdxdZUHKwyrMrRllaGV5Q9s21HfJk6rZ5/JhvGeQmJoGEXrjCVR3tishLBz1atMIWX/gol2IpmhES9vCnaIADquQSisxJVM0IUOWhZb43R7N4MXkUinPOicOaSbBjnJSTGBR80QD1fwpu7INIoKF+jnGjPcYBJRen4rKQ1qiaziixvqu42ygrOngHqu8ZkZQhVNwck4xbSAmb1AOqzoCpgnJeQkBHtqZ69IGWNqnk9gteYTsSQjLuZORVGIV8qe23ookiCXqpatZMtkptFxPCJ4ma5nx1tfcM+d1LRpGQp5U0CDQKyYZyXkBBNvAKCgqi2w0FoRKt4UJ3oaE/1yO7gWHnRZM8oc7M8smdEsxKA+pIDOx8dgsmsgBrjLtNmmMyLwayQWWePssJUzevx724SyetRl11iBqE15V/axht0HFCBJVwiM5dElnBVZnqDoydE6RvVk5JlZM8ozOuRDeO8hMS4hFS16hqtaD4IoJ7zIlphAmo7AKTsYeVvp2pS8okQSMjJLqk7i/mSjWLZqXoOEVCpb6RwswhcuSIbxnkJCdEdHID6tjcpa1SYeQm2LspRKAoUpoT1BW85nlCYXRJVbgDUcwnkBEvqSmPs72pZQFsqmvpGdLs7oL7zTwWM8xISMiJa1QOHpHRUVT5bxWVpwdZFOdGeglS1hJJKMh7zhsMpiWhlZiVUz7KJaKbXW5+gq0gYVDYISOG8VD57QhEpWQWM8xISOSn1S1cQCyUb+ZL8Nlu5qWp1NWiRrYuAWi5BTkK0B6gltMox7Gqns4oeKw+oJXvK4NcBauf1yCzhAtXBWZRhnJeQkHHYgulTlWlOKYRdhTVoka2L7PMB9WsUiQ6FtXa5nBf56yvbDiYLbvAiI/OiYo3MyRYtpyqdbL+EK84BTSfiSMUZKdk4LwY1IIP9H49ZaGMXFypMc0oZUqfgoMkY/AWo5RLIaHcHaDihMu7gmi7aKJblkpKDf9PgTey8odLJzknYw+DnqyzhSjuLxnkxqAVZaU5VJQfHcSTNllAfCYks/QFEUtWi5ZSE4RPf7g7IJyWzv2kqEUM6Ic55USmnMrhZgFrukrzsktq2ftkwzktIyOCDBD9ftlHIl2yUvFuzozkDRVokRKBsJJ7zor6jSuRZDJKSZa9RRjcVoHZSsoxMNqB65pIcm6G6rV82jPMSEqJvI2ZQlZlg32dZQKugW7MB/yCrICXLaF0EAspEpVEQHNGqHI7FjLv47JKasyiLt6TS6Hl7KGmNajiEcoMl47wY1ISsqF1VjdZTJpJaF4HqUfYyILukooQIKbmLQ/Yag5NZZTmhsh00L8srrUStgrArSZ+eSB1VJ8iUXeO8hIDjOIEUYDRrtDImzwIzSMmq1igpVa2G8yK5zi55jZOFMtg4C9HZJVVcAmmZl0B503HkzgiRzSFU2wARTZuhCsZ5CYEgH0Ra1C6bJCgpswT4f8Os5IhPWlaCQHumtKhdEZk1HrM8ToooqCqryCOWu59vO/Bas2VBWiCRVjevR9ZZVD2TSDaM8xICsvgggLqoXRYhOfgdsqMhWWRWZvRUjM5nf1PxZE9FcippVg/7juB3yoKsQCKTjHmXd8qWVfY37RDOzWJyKjdQknUVCaC2/KcCxnkJAc+DFswHAdQTdkW3Lga/Q1XZSHi5gSnMQgm25JHdssqb6rMS8jKE0jkvEu41AgDLspRneqPa0i/rKpLg55uykcFxkHXQAHW3oHoXwUkwCh2qiZCSlInjAJNFyen4iJMEZZY3VQ1UVJIFjegaVTvZoq8iAQxh12AOyBo2BKgbUic1olXUjTMuqcU2nYghGbcq3ylvH/OlMgqVabDi2zPVtErLykq436FmjVKDJUX6RtY+Ml0zKfniQpnlTeO8GMwKqWRWRR0OsloXAYWkZEkttsF0vMx9DDpKwXuyREAVH0RqVkIRsVyWnAIKO6ok80GC3ykDspoDAD+QyJqykcFM+KxxGXwQtSRBKYdNFSlZwRpl7iP7rrZU3CNiioKqeUSyxsoD0R9bEPwOmXJadRWJYG5WOhFHqlK2kem8yLgVnMGXU0PYNZgBGRcWMijjg0iaLQGo5PXILI3JLznIIiS73+H+DWVfXCizvKlsSJ2k+SCAGkKrzNETQHBQnfwsqMzSnykbGRwHuXwQ1Z048rgEMqM923YwXpBo3BVE7TIzS22BsyB3jXLu/QFUOi9yuFmAmvH5rAxnWfAGVoqEikxvTmIDhMorEFTAOC8hoKTcoKyLI5qlscliGY43mTWa6XhZ03WB6osLVWSXZAYSJwJ5XuoeSiSzsu8B5OpUqaW/yvomJJOSVcE4LyEwLrPbSNHFhWqG1MlP4yZi4lsXAbUKU4ZzBqgx7nKJkNEeUgeomUArk5AMqMlM5GTuoSJSsioY5yUEVHQbBb9XBmSmqlUM//Ic0IykaE+BwpTtvKgoq6jhvMhzssu2g4nKqH6pg/iUGHbxWV5ALf9MNCEZqJCS4/KzoKpgnJcQkKkwqy4ujGg01KGgpJKVSNYFgqRkeYZPJukaUHOztMzypgpSctVk1ogOxZSZPQNUy2l0s0uqYJyXEJAeKUg27lWtixJT1VKzEpINuwougayrARhUrlGGUVBBSmbfk0rEkE5Ek8wqMxgMfo/U7JJEqgFwYt1vJMV5ueeee7B69WpkMhmsX78eTz755Jyvf/zxx7F+/XpkMhmcfPLJuO+++2Q85ryQSb4C5BuFYOuiVMJulPkgCrJLLMsjj/OiYo3yDJ8KUrLMsQyAGm6WzCnJgBp9I9PJBtQN/lQB4c7Lww8/jBtuuAG33HILdu7ciUsuuQSXXXYZ9u/fX/P1b7zxBj70oQ/hkksuwc6dO/Fnf/Zn+NznPofvf//7oh91XshOxy+Q3EocbF0UfWs2oIaULLPcAKjt4pBtFORmXuRxswD5pOQgN0sGFijg9ZwIJZUTIbukCsKdlzvvvBNXXXUVPvvZz2LdunW466670N/fj3vvvbfm6++77z6sWLECd911F9atW4fPfvaz+MxnPoO/+Zu/Ef2o80J21N4hWaF4JRUJt2YDakjJMrupALUdDtJ5PTLLm5I7VWQPjYz6HgLyDbsKXo/MMjyg7h4uFRDqvBQKBezYsQObN2+u+vnmzZvx1FNP1XzP008/fdzrP/CBD+CFF15AsXi8Ec/n88hms1X/REEZX0JatCf3oKkgJctWJio6HHKS99EfNijHyZ4slGF7s3pk888kBRKyI/aAc+Y4cmaE+IFENDmEwe+SMSUZUENKVgWhzsvQ0BDK5TL6+vqqft7X14eBgYGa7xkYGKj5+lKphKGhoeNev3XrVnR2dnr/+vv7+S0ggOBNvbI5L7Lql7LTuIB8hSJz4iWgiPOiilguS04r3xOPWR4XRTRkl/+kl/4q6yuWHeRLcjqq5PNBFM6ykc2TNGUjPpg5T8NxnDlnbNR6fa2fA8DNN9+MsbEx79+BAwc4PPHxcBzgC+87DVdfslr4Tb0MsjsAZJdUgt8lzSioqkFHdAZK8Hukyankyazsu4LfLRoy76cCqm8fl+egyeX1+CVcOVkJ23bkN3komsyuAkL/oj09PYjH48dlWQYHB4/LrjAsWbKk5usTiQS6u7uPe306nUY6neb30LMgk4zj8+9bI/x7gmiXrDD9uQtyFCYg/34j+SWV6nS8DGMru4tD9pA62c4ZIJ9LIHseUSxmYUE6gfF8CePTJfQsEK9TZfOWZAcSVbN6IsyxUwWhmZdUKoX169dj+/btVT/fvn07Nm3aVPM9GzduPO71jz76KDZs2IBkUp5RpQDZCnNcckkFkD+9VFW3Udl2MF0Un46vIrNG1HmR7ZwFv0v2nBdZTjYg37jLnpvVLr1E7X5PMi7nKhJAfsCrEsL/ojfeeCO+8Y1v4Jvf/CZ2796NL3zhC9i/fz+uueYaAG7Z58orr/Ref8011+Ctt97CjTfeiN27d+Ob3/wm/uEf/gF/+qd/KvpRyUE2X0K20QMUkpIlOWitqThYsiUnwUHLl2wUy26ZVV7ZSHIbsQpulmcUZBF25Q43A9QZd9kcwklJFxcGS3/SypuKbkBXAeFS86lPfQrHjh3DbbfdhsOHD+PMM8/EI488gpUrVwIADh8+XDXzZfXq1XjkkUfwhS98AV/72tewbNky/N3f/R1+67d+S/SjkoPsiwtVcl5k1WhlR+2W5abjc9NuOr63Xez3MYNgWZDHzZJd3lQhp4pIySrI81Et/828uLCzRWzGR3a7u/td8knJqiDlr3rttdfi2muvrfm7Bx988Lifvfvd78aLL74o+KnoQ7YykR0JAfI5L7Lb3QE3lZubLknZR88gSJrVA6gr/cnlZqkjJcuCzOySivJmOhFHKhFDoWRLcV7UcLPkkpJVwtxtRBiy65cqDLuyjioVEa2ENarkSsi6uFCFUVDVFSeLD+J+l7w1ThX90o1U7pLEMrXKs2g4LwZK4RF2I8x5kTn1UsVkVkBuaUz2RXDAjHS8BFllmYEOBYRd6XwQJZkXeYY9ZgEtEq4iYZA5bFD2TClAPnleJYzzQhjS6+yS2f+AXFLyZKEMR/JkVsAvb8gx7PKjPdkXF6rJvMju/FNBSpa3xiBvSRaZlX1f8PtFQmUDhCxSskoY54UwZF9cyC5mVNPhID4SUjGZFZCbXVLhgAJyO47UcLPUdP5FtYQru02aQWZ3owo5nUlKjjKM80IYsi8ulD0NEpDLJcgFnDMV0Z7MrITMVDUgN12tlvMi3slWMZkVUOVky5ZTedklX07lOWiMlBz8/qjCOC+EEY9ZaJV4caEKwyfT6KngEQD+GrMSs0uy1yjTuKuI2tkeyiAlq5jMCsgt4aqYYwPI7RpTMUwRCDZ6RLvjyDgvxCErXe04jhrOS1oeH0RFDRqQm47PqlKYMg2fgqi9TWIWlMlpKh5DRiaZVaIDmlWUeZHZDn4i6BuVMM4LccgqOeRLNkoVgpcSLoHEVLW6rEQ02zMByZ0qCrJLyXjM64oRvY8quBLB75Mrp5I5LxL1jepMb9QH1RnnhThkdaqwiN2ygFYFrYsySMk5RZGQzFS1srKR1PKf3NuIGWSVVZQZPZkzUBTJ6QlxFiVfuaIKxnkhDq9+KTiV60VCEiezAtUj7IWn41VFexJHdudUESElKUwVk1kZZHEJTgQHVPUeRjsLKndquSoY54U4ZHnRKrobAJeU3CaJlKwqolUxYVd6C6okwzdZKIONr2iX2MUByFvjiVD6UzHADZCdIXS/o0PyWZR9XYcqGOeFOGTVL1W1LgLy0vHsMKsiCcoe/iUTzFkS3VGlalYPIK8zzpNT6WUjdw/zJRuFktiOKmW8njST0+iWjWTfw6UKxnkhDllRe1ZRVgKQdzmjcmUiJR2viA8iKUMYzJ7JnNXDvjP4DKKgqvTXlva5bhPCHTTVfBCxTraqWT2A3CnCKmGcF+KQdTmjf9DkpjgBeZkJZWUjBVM9Zd77A8jMSqhzsmVxCVRlJRIKOqpklzdlyamqWT2A3Hk9KmGcF+KQV2dXk6oG5NVoVc9dKJTFdlQFZ/XInOrpfp8sB1RN6S/4nbLkVPYeAhJLuMom7MrNEMqe1QPI7RpTCeO8EIesaE+VYQckkpJVpeMldVSpmtUDRH8Pg98Z6TVKckJVl40mBF9cqKpkBMi9AkEljPNCHLKiPVUlFSA4Pl9W2UhuRCuro0rVrB4gSNgVvIdKy0aSyPMq1yhN36id1QOIPYsq9anhvBiQgKyyUU5hpOBdESDLKES0oyo4QVjmrB5AYklF0awe9zslEXYJZEFFrlHlrB5ZFxdScEDN3UYGSiGNsKsyUpBWh1ZzGVzwO2UoTBW8JbY+0RcXngjlTQpyKlLfqJzV436n+H1UNasHMBN2DYhAlmFXaRRk1NlVRnuAnGselCrMwHeKbLNVNdwM8IeNRXVIXfA7ZTjZKmb1AHJKY0xOZXf9ud9pOC8GBODNQJHWxaEgEpKQ5pwq+tGeEl6PBAfNv6lX/h4m4zHPEAktjRFIx8sqb0Y1KxHsGJM9qwfwZUckP4uCnE4KJiWrhnFeiIMJv+iLC5USzCTyQWIW0JqSS2YF5JDoVCpM93vFd8apmoECBEsqsng90XTQVOqa4PeKddDU7WFw2GCUS0fGeSGO4AGfyItzXpSSWSVmJVRMZgXklP/GFXVwMMgYAKZ2SJ14J9u2HYwXoj2IT7WTLaOVWOWsniApWfSFviphnBfiiMcsL1MgMuJTSfaUafRUlFSAoIMmss6uZroug8w1qthHxiUQeffPZLEMh5FZlWZeZMipmrMoY16PymGKgK8Dosx7Mc6LBhAd8QUns6rhvEiI9hSnqmUoTNURrYzMhMoBbjLu/mFGLxm3kE7IV88yjJ7Kshggt4Srynk5ETqOjPOiAURnJqaL6iazAnIOmqoLCxlkGPacwlQ1ECReR9NBC979I2qN46rLmzL4IKqdbAkNAsp5PSfA/UbGedEAottsWV1UxWRWQM7dP2SUSZQjWilkT8VOqLePYgyfymGRgKSshGo5lRIsEcmCmrKRgUp4g+oEKUxPmaTkT2YF5Nz9cyKkcVXX2UW32aqe1RP8XmFyqugKCwYZxHLVciqjNKaSmxX8XlM2MlAK0YZPZacR4JKSRZdVcgq5EsHvjeqEXUB85kX1ZFb3e8WuUfUetku4qkP1GqUM4lOtbySQ51XDOC8aQHTJQbVhB8S3S7PPDWZ5ZELG/U0qZ0sA4ttsVU9mBcRzCaiUxUQOOFPOeTkB2sEN58WABESnqlXzQQB5RkF1q7SMAW7qUtViiZBBOVVBZmXfDUQ3kKgacCZ8jarPohg5tW1HeTZbhr5RDeO8aABZqWoVN/UyiM68qDYKMm5dVh3tiS6NqV4fIJ5LoFpOZdy6HPVhihMF/3PV6Zvo329knBcNIC0rodQoyInaVRN2Rd26TIHMKt4BVUv0BMQP4sspJuwC4onXqjkvsjLZ7qwe+d2bgLwLfVXCOC8aQDiXgADnRVbUrsywC751ebpoexwF1e2ZUc1KBL9bHK+HgIMmOEtIpVV6QhCvR3VZDBDfoUoBxnnRAKKVSU6xYQfE12hVc15E37rM1qfq4klABrFc7R4CJ4aDJqvzTzWZFRATLJHKEJrMi4FKiM5KeB0OClPVortxVCtM97vFrVH1xZOAf1dNVEt/7ndX1hhRbhYgtvwXvHhSlROaTsSRiovj9VAIBtsFBxIUYJwXDSC6Bk1BYYrmvES9NKb64klAPK+HhAMqmi/h8UEUlhwErnG8UFJ68SSDyDV6+lRlMGg4LwYUIJ6wS8iwC1gjhWgPEJvKpZCqbgs4FSJ4PZS4BMKzoBHNvDDZT8VjyCi4ioRBZCmewh62S5hloxrGedEA4mdLEOISiFCYRKI9kfvIlFSHwj1MJWLeTcgilCYlMmuUM4RsjVmRWQmF6wPE8noorJHt4VSxjJKALCgFGOdFAzAvulASc3EhpcMmxOhVtS6qE3mRqVwK0R4gtjTmO2gEMoSiOS8U+GcRllORzss4gUBiQVUWVMxlt6phnBcNUN1my18QVbcRA2IzL8FygyoyKyD2vhEKDqj7/eLS1aqvPwDEGr1i2cZU0T3fJEq4J4Cciuw2UsnNqsqCRrRd2jgvGiAes7z2VxHpahJcAoFGjylhlcoEEJt5yRIxCiKHuPnDFFVyXtzvzpdsFEp80/FBnhAFB01MV5z6PQQkEXaVO2jRviLAOC+aQFTEV7bVT2YNfrfINmLVykQk52WcgAMKCOYSEJBTkXf/sL9ZJhlDMq6wvCmypEJgDwHB/DMCnX/B74/qFQHGedEEoq5xD97DoXYGSvQjIRmcFzJrjGi3USIe87KgvPcxS4A4D0R/D4ETg38W9UF1xnnRBKIuhGPKhErrYqHMn5TsjSNXnaqWwetRXBoTmaom46AJGr1OodMIEDtXitweCi3DE1kjZ30zWSjh//3n/8Jf//uvYAu4XqFeCHVeRkZGsGXLFnR2dqKzsxNbtmzB6OjorK8vFov40pe+hLPOOgttbW1YtmwZrrzyShw6dEjkY2oBUYaPjDJJ+d/P2/CxNarsUgEER7R5GlG7KMNXLNuYLrocE+WyKihqp+KAysm8qF1jh4Q1UtE3vB20kckivvX0W3jgyTcQi6lrgBDqvFxxxRXYtWsXtm3bhm3btmHXrl3YsmXLrK+fnJzEiy++iD//8z/Hiy++iB/84AfYu3cvPvaxj4l8TC0gKlKg0MEBALGYJSzNSUVhssxPpOdnCDIKQZlQTbxuF8QJoeKAnlAlXIHTrpVneoU52TSCQWHfvnv3bmzbtg3PPPMMLrjgAgDAAw88gI0bN2LPnj04/fTTj3tPZ2cntm/fXvWzv//7v8f555+P/fv3Y8WKFaIelzxEXXpHJVUNuEpzPF/ib/jyNBw03yhEs2MMEHcDOvu81lQcCYVkVkAcEdIvbxIx7IUSbNvhGl1TGIgJiJNTx3HIZLPFZetpyKkwLfD000+js7PTc1wA4MILL0RnZyeeeuqpuj9nbGwMlmWhq6ur5u/z+Tyy2WzVvyhCVDREpXUREDeojgoRUsYAN9UKU9TY9SyB2RkMorgEVLrimC5wHGCyyJd/RkZOBRn2fMlGsezyQJSvUZA+peKACnNeBgYG0Nvbe9zPe3t7MTAwUNdnTE9P46abbsIVV1yBjo6Omq/ZunWrx6np7OxEf39/U89NFaJqtFSUSfAZeJfGyES0JwARskOQwqTSYgtI4LwoNgqZZAzxSrYlqmsUpWuYk21ZQFtKtb4RmwVVfRZDOy+33norLMua898LL7wAADWnmTqOU9eU02KxiMsvvxy2beOee+6Z9XU333wzxsbGvH8HDhwIuyQtIMqLplJSAcRFQ1QOG/sbTxTKKHNk6bvXRlTIrIozaOL3kECGUBD/zBumqFhOLSvAP+OcQcsRGRgpig/iBUqphFIyKyBuUjKVDGHob7/++utx+eWXz/maVatW4aWXXsKRI0eO+93Ro0fR19c35/uLxSI++clP4o033sBPf/rTWbMuAJBOp5FOp+t7eI0hzotm5Cv1RkFUWYUpTNVrrLpvpFDi9jxBI6ra8IkjXdPILAHis6CqiZCAu49jU0VhUbvqNTI5ZYFEnJOjQSVQCj6DuA5Vtfo09F+4p6cHPT09875u48aNGBsbw3PPPYfzzz8fAPDss89ibGwMmzZtmvV9zHF59dVX8bOf/Qzd3d1hHzGSEMUloHTYRE329KIhxWtMJ2JIxi0Uyw7Gp3k6L+762lJxbkq4UYgilpOSU9FROwFejwjD55JZaWTQqu6L4xpI0FgfIDKQoHEWhXFe1q1bhw9+8IO4+uqr8cwzz+CZZ57B1VdfjY985CNVnUZr167FD3/4QwBAqVTCb//2b+OFF17AQw89hHK5jIGBAQwMDKBQKIh6VC0gmjmuWhDdZ4h2jbY6Hc9vjZQUZrugG4k9zgsFYjnLgka4NCairDJV9Mulqs9iOhFHqtK1xlPfUCn9AeKCQSqZF6E9hw899BDOOussbN68GZs3b8bZZ5+Nb3/721Wv2bNnD8bGxgAABw8exI9//GMcPHgQ55xzDpYuXer9C9OhFEWI69mnMZPAfQZRdXY6RkEEd8mfD6JeYbJnmCqWUSzzu7gwS6hsJGr4F6k1CuioYroreNGsSojQqVT4IO4ziHWyVZf+hH77okWL8J3vfGfO1ziOT1xctWpV1X8b+BDf9kbhsPFXJvlS2bv9l0I63nUSpwRlXtSvry3I68mX0NWa4vK5VIYpAuK4BKTI8wKuI8kGymL1NG2IxoJMAscmClyDpahnzwA6+sbcbaQJRM2WoCKIgJhOlaCzR8F5ETE+3zfs6hVmKhFDOsE/HU/KKAjmEqiOaAFRZ5FGpxGDiLIKpTWyZ5gqllHimAX11xjhspEBP7Bav9sWy29wFKX5Gcww8RyfHyRBqiazAmJKDpSyZ4CYzMQ4oTWKGC3vOA6ZsfKAmDkolAIlQIyDNk7JAQ08QxQzvcZ50QRtab9GPJHn57xQIV8BYro4qIyyZhBx6zKliB0Qm0GjsEa2Pp5ONiUyKyDm/iZ/D9XrGkDsWaSwh8l4DJmkyCyocV4M6kAiHvNIbryMe3XrovrDJjJVTWF9gK+4eUa044QIyUCwa4x/1E4jK8E/C8rWF7NAisya5SqntM5iuwBeD5XLNRnYeRGjU03ZyKBO+BEfH4UyXbRR8qI99YdNRLkhR6gsBgAdLfyjdk+ZEMkuieQSUNjHqmGDnLKgQa4EBTJrRwv/sQWUAiVADI+QaqaXl04NljdVZ0GN86IReNfaWZRgWUBrkk60l5sucus6o0RmBQK8nil+Ea3XxUHFKETcCQ22+vKK2ikRkgE/Q3hCyOmJ4KBxCngnCmWwm01Uy6pxXjQC7y6HYJSg+h4O9hwAUCw73l09zYIS0RMIGIWIduIA/OXUth1SbcQA/ywoNaMnhg9Co9zAIGKuFLU18t5Htr5EzPL4NKpgnBeNwD3zQoxAF7yFlfcaqZRU/LKR6TaqFxOFElgijoqs8l4jNeeFlY34yimxNUacsAvw5xEG16e6vGmcF43QnuZLhBwndtBiscD4fF6RAqFyAyDmCgRyCpOzUWCKNxm3vBkyqsF7iNs4MaKn57xMRTjzIqKln5i+4V0a87hZBNZHQxMY1AXel95RGqjEwD/NSaukwqI9nlyCcWIZNN43oAf3UHW0x8D7rjGqRM9C2cZ0kQ8pmQrRk4G3nJbKNiYL7t+Kir7hLafe9QcEuv6M86IRuGcliEXsQLADgBeXgJaDJiYdT6tsxPsGdGp7CPAnQlI7iwtSCTA/Maq8Ht4lleDnUJFV3pleSntonBeNwL3OTmw+CCAizUnnsAHVe2jbzXdUlW0HE5Voj4zCFBXtEdlDIJAh5M4loHEWYzHL20depSNKs3oA/nf/sPWlEzGkyJQ3xRB2Kcgpjb+wQV3gn3mhFbED4qIhCocN8Es7jgOMF5pfY1AWqKyRd+mPGjcLEMcloLRG3sMGqa2R9xUI1BxQgH9HFaVJ18Z50Qi87/6hdFMvA2/Dx7glVBRmJhn3ojIevBeW0icV7Qkrb9IxCqI4LxSMAoNf4oxmBo3J6UTBv5qhGTAniNIe8u+Kq6yxRf1ZpKHtDOqCKC4BFaIn4BPB+JUc3DV2EjhsDDxbNCkadlHEcirt7gD/dPzYFB2jwMCTXJ4vlVGozG6iIqvBoG2CQxb0RAgGPTklsEbjvGgE3tEetbY+gL9RYPV6Ws4Lv+ml1Do4gIADGlHeEsCfCJklFNEy8FxjUBaocLPSiThScdcE8pDVHLG7m4DA3Uac9SkFOTXOi0bgXWf3vWj1gsjAs0ZbKNmYqrR5UlpjO8d0PDUeAeDL6VSxjFK5+UnJFLNnvLkEWYJZUJ4DFZkD1JaKI05gmjcDz8wExUCJ9/1NlJxs47xoBP58EHqHjWcHQFDpUkrldnAkClJMVQcjax5ZQoolFd4DzsYmmYNGZx953oBOsbwJ8C3FUwwGeXdUUVqjcV40Am8v2jcKdBQm30jIz0pQivZ4lo0oRuypRMybhMtzHyk5Lzzvb7JtxzvTlNboc174BRKUdA3A9wZ0JqcUg8GpYhlFHllQQms0zotGYFyCQslGvtT81Eua6fhKtMfBQct6HRx01gf4CpyHwvQjdlpr5OmEUor2GLjyQQje3QTwHag4RsjoBcHTeaGYIWwLZEEneOpUAk6ocV40gnsZlvv/x5qM2m3b8SNaQgqTJ6+HojIBgi3vHDMvxNbInqdZOQV8hUnJ8PHsqGIOaCoRQyYZb/rzeKGDo4NGKWIPopOrnNI7i8l4zLv9OWqBhHFeNEL11MvmDttEoQQ22oDSYeN5PYCvMNVHCUHwTMdTjWg7BUTtFKI9BianPLKgFDOggJ8941HepGT0ghCRXaLU+Qfwu8Npuui3u3e2qt9H47xoBiY0Y00aPnbQqEV7zNHgWmcnqjB5OGhUs0vsb84loiVo+NrTgbt/mpRVr/2UmNETYtiJySnXzAvBBgiAX9cYe79luXdfqYZxXjQDL7In3YPmK8xm7/6hqjDbeRIhiRo+L/PSpJxOF8vIE4r2GIJZ0GYNH8VyA8C5bEQ0u8RLTgG6+oaXg+Y1QKQTiBFogDDOi2bgJYhUU5xsfY7TPJ+ArIPGkfNCvWzEy7BTifaC8LOgfM4itT3kWzai100FiOG8UNtHfjajok+JBBHGedEMvI0CtYOWTsQ9glnT2SXqZSOOBDpq+8g72uvIJElEe0HwitoplsUAX04nCs0PG4y6nJZtJ3A/Fc01Rk2fGudFM3DPvBBTJoCINdKK2HlGtFSdUF4K04/Yae0hwDOQoLnG4NTmZofxUXVeOjhx7ILdkdT2UUQgQQHGedEMvKM9asoE4H/YqK0xyCVwnMZ5PVXRHrE1Rn0PgeivMRmPoaVC5m/WuOeIl6l5BUqZZAzpBJ0GCCC6cmqcF83Aa34GNS86CO4RLbE1sj0slG2PjNoIgmPbqSgUBhZ9ciOzEttDILoRbRC8OlW8zAsRvgRD1MvwQHQzhMZ50QzcnBeCg78YuBsFYmtsS8UR89psG18j+/u0puJIxmkdZV5ySrXcAPA8izTlFOBDLncch+w+8upupDrHBohuwEtL4xnMi6jzQQD+h42awrQsKzBlt/F0vN8mTWt9QFBOm+0Yo6Uwg+B9FqnJKcCnrX+qWEap4hhQ20f2PM12N1LVNUB05dQ4L5rBn1zKxyhQEcQgeBw2x3HIXgYHBMsqhYY/g5oyCYLXhF2q5QaAZ4aQrhPqZSY4ZAgTMQutKVp8kEwy7l0iymONFLNnvEtjVNZonBfNwK+LI9oRrXuLKs1oDwC6WlIAmlujDs5LoWRjutj4+HyqQ/gAEUaB3hq7OKwxKKeWRavdHeCzjzpwXngNNqUip8Z50QyGYFYf2EGLE4z2AKCLw4AzykavLZXweD1Rd9B4BRIU19jV6jrZo01kCLNEB9Qx8NhHynsY1KfNdDdSW6NxXjQDi0DH86WmBkfpkOZsRpkEnTPK0d7oZDRT1bGYxYW7RC1VHQQPJ7tYtjFZcDNTFDOEPNZIWU4BvsES5QxhsexgqpksKLHOP+O8aIagAuBB9qTiRQfBIytB9foDBrZGHs4LxT0Eom/4eKwvOGW5naCsGjmtD5TltDUVR6KSBm3OQaO1RuO8aIZkPIa2FBsc1ZggFkq254FT8aKD4BMJ0TpoM8F1jQT3EOCbQaO4Rra+yUIZxQazoGz/F6QTSBBrdwc4lTeJBxI8bs+mnCG0LKtpfeM2QNAKeOmdFoN50awgBi+7oxjtRZ1AB/iE3dHJaHYbAZwi2km6a2wPOFQNn0Xiht2XU5N5mQvarLHBfZwolFEm1u5unBcN0SyXIBjtUbvsDqhuz2x0cBQ7pFQO2kyw1t/RCCvMZuXUth1v9gZFUnI8ZnnOf7OBBMWIHfCfqxnCbtTlFKCfBW12jWx9ybjlXZyrGjSewiAUeAkiVWXCnst2gPFCY7weaqOsZ4K1oDYT0WaJ3mvEwBR5o3Kay5fAmiOoGoVmo3bKXAmAD+eFuoPGY6DiGGEOIcAvW0+pAcI4LxqCm8IkahDSibjn3Tea5qTOeWEtqDyivcgqzMr70okYMkl67e4AjzXSHVAH+E52brrx7saoyylAe2wBwMFmEMxkG+dFQzQ7vZQa8aoWou6g+RFtdNPxPmG3sYiW+vqA5knJ1NcYfK5Guxupr7HDuwKhsT2cLpZRqFywSnWNvOSUUjBonBcNwS9VTTNKAJo/bCOVSGFhJcNBDcHJpY3wehzHCWSXaO4jr1Q1JYU5E82ukTmvCwlefwAAiXgM7WlXvhp1tKlnl5rVNex9McsdzkgRzcsp06d09tA4LxqC12GjqkwAfkahi9BhC4IZ5EZ5PZMF/7K7qEZ71MsNQPNdHMwoUJVToHlyOfXMS2eT7eDBrATFBgigeX064ulTOsGgcV40REeTHQ4jE5Vor42OIM5E087LFG2jkEnG0VLhcTRi+NjfJRm3vM+hBv/yyeayZ11EjR4QTaMwE96slwYdNPLOS5Pj86lneYFo6lOhzsvIyAi2bNmCzs5OdHZ2YsuWLRgdHa37/X/0R38Ey7Jw1113CXtGHdFspDCiQbTXbEeVn46nr1Aa6eQIcnqosP9n4kQw7M3LKX3D18wlolUDMYmXN0u2413VEAYjxLO8AD99ymSBAoQ6L1dccQV27dqFbdu2Ydu2bdi1axe2bNlS13t/9KMf4dlnn8WyZctEPqKW4FdnpyOIM9HMGh3H0SId75F2G5ihoYPCjGKdfSaaNgpTGuxjE+Ry9p6YRbdM3ZJsbny+b9hprg/geBbb6KxRmPOye/dubNu2Dd/4xjewceNGbNy4EQ888AD+5V/+BXv27JnzvW+//Tauv/56PPTQQ0gm6fyxqMC76bXBNO4IcZIg0Nxhy+VLHh9EBwetkX3UImKvPNtUsYx8qYGI9gQob+qQBfXktIE1jgQmJFPlg1iW1ZRO1ats1FjHGMUsqDDn5emnn0ZnZycuuOAC72cXXnghOjs78dRTT836Ptu2sWXLFnzxi1/EO97xjnm/J5/PI5vNVv2LOtghYco9LPysBB1BnIlmjAKrzWeSdOeDAMHMSyMKk75h78gkEK8YrGaMgg6GvfEMIf0saDMDFXWQU8AP5BrJLlE07DPBsmfZBnk9owT5Z8Kcl4GBAfT29h73897eXgwMDMz6vr/6q79CIpHA5z73ubq+Z+vWrR6nprOzE/39/Q0/sy5YVDkkEwV/vkAYjOigMJuY7DlCsD5bCx6XoKF0PP2SimVZ3vMNN+Bo62DYFzbBP3MvdHQNCWUHrZnLGXXYQ8B/vuFGzuIE/bPInI5C2W6I10Mx0xvaebn11lthWdac/1544QUAqEkkdBxnVoLhjh078Ld/+7d48MEH6yYh3nzzzRgbG/P+HThwIOyStEN7JgGWgQ0bKdi24ykhyofNyy41FAnRj9iB5hw05gxQUia10NXUPtLng3hGb6IQOqJl60slYmQ7xoDmLhEd1sCwAz6XY6SZYIlwdqk1FUcq4Zr7qJzF0PTv66+/Hpdffvmcr1m1ahVeeuklHDly5LjfHT16FH19fTXf9+STT2JwcBArVqzwflYul/Enf/InuOuuu/Dmm28e9550Oo10Oh1uEZojFnNrtMMTBQxPFtDbkan7vdnpIthMNMppzkVtjZfGdIn2mpmfoUOqGvCN1shENHk9TE7zla6a1hBDyoLZM6odY8CJIqfN6Bv6DpplWVjUmsJAdhojE0UsX1j/e6eLZeQrGX6tnZeenh709PTM+7qNGzdibGwMzz33HM4//3wAwLPPPouxsTFs2rSp5nu2bNmC973vfVU/+8AHPoAtW7bgD/7gD8I+aqSxsDWJ4YlCaKPAIou2gCdOEU2lcQky42uhmRZUtsZFxNfYaAbNcRzPWFJ2XlpTcaTiMRTKNkYmiw05L/TLm43PeWGBxCLCWQnA5+Q0k5WgLKeA63gMZKdD61S2vkTMwoI0nXZ3YU+ybt06fPCDH8TVV1+Nr3/96wCAP/zDP8RHPvIRnH766d7r1q5di61bt+ITn/gEuru70d3dXfU5yWQSS5YsqXqPATsoE6EPmzaRUEWZTBdtTBXKaEnVn1Zna+wkbhSamc6qzT42GNHm8iWUbfp8EMuysLAtiSPZPEYmCjipq6Xu91JMxdeC14nTRLcR9TUubKKES3GAWy0wBzJs+Y8FyF3EMoRCQ++HHnoIZ511FjZv3ozNmzfj7LPPxre//e2q1+zZswdjY2MiHyOSaDRS8EoqxCP2tkpEC4TPvuiQxgWanPOiCefFl9NwRoGRIFuScdIdY0A17yUMdDF6QcJuaF6PLnLa4B7q0jEG+GcxvJzSDJSE5oAWLVqE73znO3O+Zr7DUIvnYtB4pDAyQT8VDzQX0eqiTJqZ8zKiTdmosRZUHWYRMSxqNJDQxLAzOS3bDsbzJbSHGDanS0mFPV9YOZ0IdIxRX+OiBrOgFNukAXO3kbZo1IvWpdwANM6X8AZjETd8wW6jMBFt2Xa8G5ep76MnpxEtbwLNnEU99jCTjCOTdE1FWEdblyxow3Ja2fN0IhaqtK0CUTuLxnnRFI0adl2UCdBEOl6zaC/s7AU3fe/+f2rR0Ez4ctqg0SOeWQICHVVh16jB1QAMjFTcKMdOmyF1IRsgdOiIY2i084+qzTDOi6ZoNAVI1YuuhUbbpUc1mGMDuJ0q6UrHVxgHje1heyaBRJz2EWZlrUjLaZPpeOpyCvhn8ViINZZtRxteD1tfLl8KNfhTF9I14K+x0WCQ2hppaz6DWdHVaLSnkcJkUfdwaF4PzcM2E5ZlobuiUIbG83W/j62Pevsp0PiQuhGt5DRa6fha6F5QcV7G619jNpAhpJ6Z6Mgk/cGfIQj0unB6gObL8NTk1DgvmmJho21vRL3oWmiERFcs28hOu5ePLWqjP7ywe4H7jOEyLzSVSS2wPcxNl1As1x/R6lL6AxrPELLXd2vghHZ7UXsIJ5tlCNMJJIlnCNngTyBcWUWn8majxPJhonJKW6IMZkWjfBAdDV8ow155bcyizwcBGkvH69SJ09mShOVdZVG/UdBJTrsa5PWwLIYOGTQWCIST08oeamDYgWA2O/xZ1EFOvbEFE+EaBNies0CLCozzoimY4cpOl1AKEdGyyKlHg6xEI5HCkGcQ0ojF6AxUmg3dDdShdcpKxGNWoCW8/jUyOaUW7dVCI5yX6WIZubybIaRmFGqBlY2GQ5SNdJJToLFML3NAezSQU2YzCmUbEyEaBI5VStpMBqjAOC+aoiqirXPypeM43mGjJoi1wCKh4RBp3GPMOdNgfUCQS1B/On54Qg8SJMOiBjJoQ7mKUdDAsPvcrPovZ2R/i2TcQkeGzsj12dDdQIZweEKfrAQQzPSG1zc6OKAtSb9BIIyj7TtotNZonBdNkYjH0JEJ18kxNlVEqTJyXQfnpREugU7OGdBYOp45OjoYdqCxdLxvFOjvI5PTQqn+lndPTtvSpEauz4ZGypssC6pLILGwATkd0kjfWJYVuuNoslDCVNGV6UXE1micF43BDsxQnalc9rr2TALpBO2BSkD15Yz1RrSsa0cHsi7QWNmIrXGxJs4Li0rrldOy7fgkQWIKsxaqIto6Dd+QRs4ZECgbhSDs6iun4deoSyARtuOIOdnpRAxtxIbwGedFYywOedh0i9iDEW29NdpjRJnxs6GR2Qs6RXuAL2/1yunIZAG2A1iWX3KijEYiWj9DqMdZ7GYZwhCcF930TU/IYBAIlFQ0OYth5TTonFHLEBrnRWP0tIczCrqlcVtTcbRULuUbyoV10PRYYyPzM3SL9haHllP3dQtbU+SH8DGEddA8EqQuTnZFTicLZUwX6wskdHOyPTmtU9cUSjbGKnzDbl0yvZ6DVq+c0t1DPTSDQU2wzMvReg2718Ghx0GzLCu04dM2oq0zHR8kXTPnlToWVxRf3XKqmZMN+M9a/1nUK0PozmpxI+96eS/aOdlMn9apa1j2IhHoqKOOsDaD6owXwDgvWqMnpBetWyQEhDcKQ4QPWy2wiHa6aGOyUJr39dmpEgqV1nhd1tgTkvMyNK6Xkw34UXvdcuq1n+qxRncadGWgYsh91MV5CZ/JZvy6lBZjGYBgFjQsN4veHhrnRWM0ahR0USZAwCiETcdrssa2VBypCtmzntIR+zu0ZxLIJGkR6GZDo+VNnZzssEaBcjp+NjC+xFAdWcIg6bqnXY81Mr04Olmsaxq0bg4oEN7JpiynxnnRGI3W2XVKx4etQ3sKU5M1WpblDbiqJx2vWwcHEJDT0Lwl/dYYtoSri5wC4QbVDU/oRboG3Inc8UoGpZ5AQs/yZljnhe5QU+O8aIyekIbdJ+zSE8TZ0BOiDj1ZKHlzNnSKhhaFaEPVMXvGlPtEoYypOrrGhjR2skNHtASNwmwI09bvlVQ0Il3HYv5FqfXso45nMTSHkPAlsHpIlUFNBFv76pmDoltJBQhnFCjPJJgLzICxqbJzgTmqFNO4s2FBOoFM0lU19ShN3UjXQDiyZ5B0TdEozIYwc1D8koo+6wPCGXfdSNeAv77hyUKdpTFTNjIQAObxFwI3Kc8FyvXL2eAbhTrSuBN+ZonaTIK50NfhrnEwNz3va3XMnlmWFSqDNjSh3xrDZEFz+QDpWqOz2NvO5DSaWQkgXKbXW6MmXX+AO34gHrPgOPVl0Ly78Ajuo3FeNEYmGUd75V6U+SKF4EVwFAVxNoQxCuw1OkWzANDXkQEAHMlG3yiE2UedDDuLaHP50rylMRZEtCTjaE3Rv9eIgcnpwNj8TvYxDZ1sIByP0MtKaKRv4jF/oOJ82Wzbpp0hNM6L5qi3b59lJVLxmBYXwTEE1zdfaYxFhL0aRUIA0MuMQjZE5kWTDg6GeiNax3F8MqtGfJD2dMK7ImA+wzdY2WeWcdMFnpNdR4bwqK5OduVc1VPC1ZFYDtRf4hyeLKBkO7As3zmnBOO8aI56I4WjgWhWp5IKOzT1lMaOMKPQmRH+XDzRx9LxdTkvmirMOo3CeL6E6aJbUtHJQQsOVJyvrHKEOdkdmskpK2/WkyHM6elkh+EusX3W7yzWF/AyfdrdlkaSIOma3hMZhIIfKcwtiCzV26eZwgyWxuY7bIwz0teu1xqXdJ5AZaN5jAJTmO2ZhFYlFaD+NTIndYlmZ5E5W+P5EsbzcwcSQ4RbbOdCveXNUtn21tjXqeca59WnFX1ENUNonBfNUW+kcERThQnUXxo7QvywzQbmUB4dz6Nsz14acxyHvEKZDfVGewNj7u+1lNOQEa1ue7ggncCCtOtQzpcl1DULWu9QzKPjeTiOezWAbg5avR1VvpzS3EPjvGgOphyY0p8NjE+xRDNlAvik3XodNKqHbTZ0t6UQs9yppHPdcTQ8UfC6VHo1yy711cnr0VlO63bQPAdUvzX2VhyuevdxqWb7yBzKI/Otr5LJ7m1Pa3M1AEP9TjbtQMk4L5qDKYeB7NScrzvCDhtRQZwLvXVyQpjC0W2NiXjMS+XOxSc4XNnDngVp70oBXeDJ6TydKt4eauacAb6czmf4fDnVb40sIzaXnE4XyxiddG9b1s1BW9LZAgDITc9dGtN5D319Oh83i/ZZ1EsDGhyHJR3uYTs8j1EY0LhstKzLXeOh0dnXWCzbXieOjmuspw31iKbRLOBnUgZz0yjNMRzLK29qxiMA/H2Z7yx63UYEOzjmg9/WP/samQy3puJadTYCbmmMcezmPov6ljeZnB4amzvgHSSeyTbOi+YIRrRztRLr7Lz4RmH2w8ZSoMm4hYWa3KUShJeunqMN9bCmpGvAJW4mYhZsZ+7yHzMYesopCyRml1PHcQLpeP3W2OuVVebPEC7pyGjV2chQj77Ruby5tBIMHslOw56DY2fKRgZCwQ7PZKE8ZyuxR/TU8bBVjMKhOSKhgUC5QbcaNFDfoDpm2HXMvMRilrfGuTITuvKWAGBZV2V9c2QIs9MlTBXdIXY6rpF18s2ZeamUsHU07IBfOppTTjUOJPra04hZQLHszEnapR4sGedFc2SScSxsTQKYPc0ZbG3UMaJlRmFgjkjo7ZGpqtfqhj6PSzC/g6arUaiH9zKgsfPCnOxcvoTcdLHma5icLmpLoUWj+7cY6isbVUoqusppHSVcX05pZiXmQiIe83gsswWE08Wy59icVMnUUINxXiKAJfOkq5nC7Mgk0JbWqwYN+EZhMJef9TKxt0fdNS5f2CrtuXiCKcG5oj2dSyqAb8wOjdaW03yp7A3+WkZUYc6FtnTC43jMto9MTqkahPnQV0e3EQsydJXTpSyDNsdZ1H0fvTXOchbZGW1NxdFVCY6pwTgvEcCSeQzfgeFJAED/Ij0Ne3dbCql4DI4ze8R3cMRdo67K5KQud2/YOmqBKZSlmmaXmEMym5weHp2G4wCZZMy7MV03+OTy2QIJd3+XL9RUThf6ezgb8frtStlsqaZncT7OS9l2vP1drqlOXTZPKf7gCAsGW8jylozzEgGwbANzUmaCGcR+TbMSsZjlRe2zRrSVw3aSpkahf5H73AdHpmoSr23b8RTKCk0VJnMsZ3PQfIXZSlZhzof5Oo7YGnV1svvaM0jFYyjbzrzBkr5yygKJ2s7LYG4axbKDRMzSNru0bJ7Miw6ZJeO8RABMSeyf1XnxvWhdMZ/h88tGeq5xWVcLYhaQL9k1h0cdyU2jULaRiFleGU03+HJaW2Ee8JxsPdcH+M7zfHKqq5Mdi1neGasVLDmO4+2jrs4Le+4Dw5M1u3EODDN+XQviGjYHAH6G8MBscqpBMGiclwigf9HcmRfPKGiqTABgVY/77G8O1VaYuke0yXjMc0pqKZT9xyplsYX6Kkwmf/uPTdTMLh30Sioay2l3GwDgzWPzOdn6rpGVSmrJ6bGJAiYLZViWvuT5pV0ZxGOWG0jU6MY5qHnpD/Dl9K155JRloSjCOC8RwMpuV8DeinDmZcUidtgmjvvd6GQRkwW3/VRHoicDKx0dqJGZ2K95Kh5g9XNgolDG8MTxt0uzdbO/g45Y2T27nAL6l40APzM2l5wu7cggndCvmwpwAwm2P7WMexT0KbMZ+4cn5wwkTObFQChYRDs6WcTY1PEtmroTdgFgVeWw1Ypo36gYiiUdGWSSeipMwOck1Sr/HRjRP2LPJOMeR6DWGqOReakEEseONwpjk0XPaVvRre8a++fIvDBdoyuRlWGuUrynTzWW0+ULWxGz3PlgtbJLb1Qy3KsrzjhFGOclAliQTqC7ze3OmFk6OjaeR3a6BMvS+7CxiLaWMnl9cBwAcEov3YNWD5hRqBXt6U6CZOifxSg4joN9Q64TqvMa2fpy0yWMTFYHEq8PuXK6pCPj3c6sI1acAHLKnMv9NTJoTE5X9uirb1KJmJelnrmPY5NFb8bL6sV012icl4hghZeZqD5sr1YM+/KFLVoOxWJgac7hicJx2SWmTE5ZvED6c/EEe/7Xjo4f97vXKz9bpXHEDgArF9XmLh2bKGB0sgjLAk7t1XcfM8m413E08yzuO1qRU82dbCanrw+OH5dder2yxtUaG3bAd75mZnodx8FrFZ16qub6xuNnDVXLqS5OtnFeIoI1FYW/dyBX9fOoHLS2dMK7yv2NmYetssaTNVeYp/VVnJcjuSqjYNsOXj3irvG0Je1Kno0X1lTWuPdItZyy9fUvbNW69Af4jvYbR2fI6VEmp3qfxVU9rYjHLOTypeOG1e2p6J81GjuggK8vZ8rp0fE8xqaKiFnAyYSzEvXAk9Oh2k429fUZ5yUiOH1JBwBgz5HazsuaPr2NHgCcXlnDrw5nq37uZV40V5iretqQjFuYKJSrhkcdHJnCVLGMVCLmZS50BZPTXw1U7yHLNulu9ICAnM5Yo1feJG4U5kM6EfcygHuP+FnCsu14+3i65k42e/7Xj45XTfVm+rR/kf5ONlvjr2YEvMzJpp7JNs5LRMAU5p6IZl4AYN1Sd427A85LoWR7nR0na77GZDzmpduDER9zSE9ZvACJuN5Hdm1FYb55bBLTlQsKATfbBOhdMmI4Y5nroL1yuLaDprucAsBpFX3zakBO3zo2gULJRiYZ05pfB7hl9gXpBIplpyoz8XqE9OkZSytyemiGnLJMNnEnW29NaOCBedFvDU9isuBewug4judVn9oXgcNWMQq7D/sK81cDWRTLDrpak1im6UVwQazpPd4oMEfm9AjsYW97Gp0tSZRtx4vwAD/6i4Lzsm6pL6es/JedLnpGkMmxzmCZ3L1VcsqyZ+1a3uwehGVZXhk3mJnYHSF9urYipwPZ6arRBS8dHAUAvGNZp4rHqhvGeYkIFren0d2WguP42ZeDI1MYGs8jGbc8L1tn+EYh6xmFXQdGAQDvXN6l7Uj5IJhhY+sCgP96ewyAX3LRGZZleY42i/iKZRsvHXTXeE5/l6pH44bT+toRj1kYnijgSNbt2nj54Bgcx43oexbodxPxTDB9EpTTl992/7/uJSOGtQF9w/DiWyMAgHMjIKcL0gmP98LWODA2jSPZPOIxC2eeRFvfGOclQjh3RRcA4Lk3hgEAL7zl/u87lnVqX58F3LJJKhFDLl/yovZd+0cBRMPoAcC7Vi0CADz3xggcx4HjON5+vmvVQpWPxg0z5XT34SymimV0tiTJ19nrQSYZ93gtuw6MVP53FEB05HRDRRb3HhnHSCVqZ/t5fkWGdQfbK7au3HTRK+GetyIaZ3GmE8r+97S+drSm6HYaAYKdl5GREWzZsgWdnZ3o7OzEli1bMDo6Ou/7du/ejY997GPo7OxEe3s7LrzwQuzfv1/ko0YCG0/pAQA89foxAMCOSpSwfmU0DloyHvMU4xN7hwAEjELFIOqOs5d3IhWPYWg8jzePTeL1o+M4NlFAJhnD2cu7VD8eF2yqyOnT+6rl9LwVXdqXGxg2ntwNAHjyVVdOd0bMye5ZkPY4ES+8NYLpYhm/OOBmz85fHQ3nhe3hLw6MYjxfws79o3AcdwJ0r6YXMs7ExlOYnB4FAOysONvn9NMuGQGCnZcrrrgCu3btwrZt27Bt2zbs2rULW7ZsmfM9r7/+Oi6++GKsXbsWjz32GH7xi1/gz//8z5HJRENYRIIdtuffHEaxbHtOzIaIOC8AcMka1/A98epRHBiexL6hCcRjFs7rj8YaM8k4zl7uKo5n9h3D0/vcqO+8FQuRSkQjUbph5UIkYhYOjkxh/7FJ/OdrrpxGxckGgEtPWwzAldNCycbTr7tOzLsikpUA/AzLM/uO4cW3RlAo2+jrSHulCN3Rv6gV/YtaULIdPP/GsKdP10ck6wIAl65x5fSFN0cwni/h8T2uE6ODAyosL7R7925s27YNzzzzDC644AIAwAMPPICNGzdiz549OP3002u+75ZbbsGHPvQh3HHHHd7PTj75ZFGPGSmsXdKOngUpDI0XcO9jr2Pf0Qmk4jFcVDH4UcClpy3G1n/7FZ7ZdwwPPetm4zasXIjO1qTiJ+OH95y+GC+8NYKf/OIQypVbbS+pKJkooC2dwHkrFuK5N4fxvef344lK1PfedX2Kn4wfLjy5G6l4DAeGp3DPY69holBGb3saZ51EP6KtF+85fTH+6fkDeOTlw8hNu4MjL1mzOBLcM4aLT+3B9547gJ+8dAjPv+kGEu87IzpyuqqnDSu7W/HWsUk88MQ+/Gogh5gFvPu0XtWPNi+EhXJPP/00Ojs7PccFAC688EJ0dnbiqaeeqvke27bxr//6rzjttNPwgQ98AL29vbjgggvwox/9aNbvyefzyGazVf9OVMRiFn7zvOUAgDu37wUAbH5HHzoy0THsa5e04/S+dkwXbdz3+OsAgN9ev1zxU/HFb5xzEuIxC0+9fgzPvjGMeMzCb5yzTPVjccVvrT8JAHDvY6+jULKxbmmH10YdBbSlE3h/xcjd9X9fBQD81vrlkSmLAcB7Tu/FwtYkDo9N43+/cBAA8FvnRessMt3ygxffxoHhKXS1JvHra+kb9jD4jXe6uuVv/8OV0/et68OiynUzlCHMeRkYGEBv7/Gb3Nvbi4GBgZrvGRwcxPj4OP7yL/8SH/zgB/Hoo4/iE5/4BH7zN38Tjz/+eM33bN261ePUdHZ2or+/n+s6dMMfXnqyJ3gtyTg+/941ip+ILyzLwpcu87N265Z24DfOOUnhE/FH/6JWbLlwpfffv79plda3ZdfCJ85d7jkrlgXcdNnaSEXsAHDD+9Ygk3RVbM+CND578WrFT8QXmWQcf7LZP4u/vrYXF55Mv9wQBuetWIjNgUzLDe9dQ57IGha/f9Fq9HW4HXCpRAw3bj5N8RPVB8updR/2HLj11lvxla98Zc7XPP/883j00Ufxv/7X/8KePXuqfrdmzRpcddVVuOmmm45736FDh3DSSSfhd37nd/Dd737X+/nHPvYxtLW14Xvf+95x78nn88jn/Vsxs9ks+vv7MTY2ho4O2q1eonBgeBL/sfsINp3a4w2Tihqe3XcMrx0dx4fPWoquVvpRQliUbQc/+cUhWBbw0bOXRSpiZxidLOBfXjqMtUvasSFCXJAg9h7J4dl9x/Dr6/pwUsQcUIaf7RnE0WweHztnWSS6GmdiuljGv7x0GF0tSbx3XW/knGwAODw2hf/7yhFsWLXIG0mhAtlsFp2dnXXZ79Au5PXXX4/LL798ztesWrUKL730Eo4cOXLc744ePYq+vto1w56eHiQSCZxxxhlVP1+3bh1+/vOf13xPOp1GOq3/3ASe6F/Uit+/KFpR3kxccHI3LqgQlKOIeMzCx8+NVkZpJrpaU/i9QIYpijitrz2yAQTDr50erTLKTGSS8ciVpmdiaWcLtmxcpfoxQiG089LT04OenvkJoBs3bsTY2Biee+45nH/++QCAZ599FmNjY9i0aVPN96RSKbzrXe86Lluzd+9erFwZbSVnYGBgYGBgUB+EcV7WrVuHD37wg7j66qvxzDPP4JlnnsHVV1+Nj3zkI1WdRmvXrsUPf/hD77+/+MUv4uGHH8YDDzyA1157DXfffTd+8pOf4NprrxX1qAYGBgYGBgYaQejgiIceeghnnXUWNm/ejM2bN+Pss8/Gt7/97arX7NmzB2NjY95/f+ITn8B9992HO+64A2eddRa+8Y1v4Pvf/z4uvvhikY9qYGBgYGBgoAlCE3apIwzhx8DAwMDAwIAGwtjvaIzsNDAwMDAwMDhhYJwXAwMDAwMDA61gnBcDAwMDAwMDrWCcFwMDAwMDAwOtYJwXAwMDAwMDA61gnBcDAwMDAwMDrWCcFwMDAwMDAwOtYJwXAwMDAwMDA61gnBcDAwMDAwMDrRD6YkbqYAODs9ms4icxMDAwMDAwqBfMbtcz+D9yzksulwMA9Pf3K34SAwMDAwMDg7DI5XLo7Oyc8zWRu9vItm0cOnQI7e3tsCyL62dns1n09/fjwIED5t4kgTB/Z3kwf2s5MH9nOTB/ZzkQ9Xd2HAe5XA7Lli1DLDY3qyVymZdYLIbly5cL/Y6Ojg5zMCTA/J3lwfyt5cD8neXA/J3lQMTfeb6MC4Mh7BoYGBgYGBhoBeO8GBgYGBgYGGgF47yEQDqdxpe//GWk02nVjxJpmL+zPJi/tRyYv7McmL+zHFD4O0eOsGtgYGBgYGAQbZjMi4GBgYGBgYFWMM6LgYGBgYGBgVYwzouBgYGBgYGBVjDOi4GBgYGBgYFWMM5LnbjnnnuwevVqZDIZrF+/Hk8++aTqR4octm7dine9611ob29Hb28vPv7xj2PPnj2qHyvy2Lp1KyzLwg033KD6USKHt99+G7/3e7+H7u5utLa24pxzzsGOHTtUP1bkUCqV8D/+x//A6tWr0dLSgpNPPhm33XYbbNtW/Wha44knnsBHP/pRLFu2DJZl4Uc/+lHV7x3Hwa233oply5ahpaUF73nPe/DLX/5SyrMZ56UOPPzww7jhhhtwyy23YOfOnbjkkktw2WWXYf/+/aofLVJ4/PHHcd111+GZZ57B9u3bUSqVsHnzZkxMTKh+tMji+eefx/3334+zzz5b9aNEDiMjI7jooouQTCbxb//2b3jllVfw1a9+FV1dXaofLXL4q7/6K9x33324++67sXv3btxxxx3467/+a/z93/+96kfTGhMTE3jnO9+Ju+++u+bv77jjDtx55524++678fzzz2PJkiV4//vf790xKBSOwbw4//zznWuuuabqZ2vXrnVuuukmRU90YmBwcNAB4Dz++OOqHyWSyOVyzpo1a5zt27c77373u53Pf/7zqh8pUvjSl77kXHzxxaof44TAhz/8Yeczn/lM1c9+8zd/0/m93/s9RU8UPQBwfvjDH3r/bdu2s2TJEucv//IvvZ9NT087nZ2dzn333Sf8eUzmZR4UCgXs2LEDmzdvrvr55s2b8dRTTyl6qhMDY2NjAIBFixYpfpJo4rrrrsOHP/xhvO9971P9KJHEj3/8Y2zYsAH/7b/9N/T29uLcc8/FAw88oPqxIomLL74Y//Ef/4G9e/cCAH7xi1/g5z//OT70oQ8pfrLo4o033sDAwECVbUyn03j3u98txTZG7mJG3hgaGkK5XEZfX1/Vz/v6+jAwMKDoqaIPx3Fw44034uKLL8aZZ56p+nEih3/6p3/Ciy++iOeff171o0QW+/btw7333osbb7wRf/Znf4bnnnsOn/vc55BOp3HllVeqfrxI4Utf+hLGxsawdu1axONxlMtl/MVf/AV+53d+R/WjRRbM/tWyjW+99Zbw7zfOS52wLKvqvx3HOe5nBvxw/fXX46WXXsLPf/5z1Y8SORw4cACf//zn8eijjyKTyah+nMjCtm1s2LABt99+OwDg3HPPxS9/+Uvce++9xnnhjIcffhjf+c538N3vfhfveMc7sGvXLtxwww1YtmwZPv3pT6t+vEhDlW00zss86OnpQTwePy7LMjg4eJzHacAHf/zHf4wf//jHeOKJJ7B8+XLVjxM57NixA4ODg1i/fr33s3K5jCeeeAJ333038vk84vG4wieMBpYuXYozzjij6mfr1q3D97//fUVPFF188YtfxE033YTLL78cAHDWWWfhrbfewtatW43zIghLliwB4GZgli5d6v1clm00nJd5kEqlsH79emzfvr3q59u3b8emTZsUPVU04TgOrr/+evzgBz/AT3/6U6xevVr1I0US733ve/Hyyy9j165d3r8NGzbgd3/3d7Fr1y7juHDCRRdddFyr/969e7Fy5UpFTxRdTE5OIharNmfxeNy0SgvE6tWrsWTJkirbWCgU8Pjjj0uxjSbzUgduvPFGbNmyBRs2bMDGjRtx//33Y//+/bjmmmtUP1qkcN111+G73/0u/vmf/xnt7e1etquzsxMtLS2Kny46aG9vP45H1NbWhu7ubsMv4ogvfOEL2LRpE26//XZ88pOfxHPPPYf7778f999/v+pHixw++tGP4i/+4i+wYsUKvOMd78DOnTtx55134jOf+YzqR9Ma4+PjeO2117z/fuONN7Br1y4sWrQIK1aswA033IDbb78da9aswZo1a3D77bejtbUVV1xxhfiHE97PFBF87Wtfc1auXOmkUinnvPPOM+27AgCg5r9//Md/VP1okYdplRaDn/zkJ86ZZ57ppNNpZ+3atc7999+v+pEiiWw263z+8593VqxY4WQyGefkk092brnlFiefz6t+NK3xs5/9rKZO/vSnP+04jtsu/eUvf9lZsmSJk06nnUsvvdR5+eWXpTyb5TiOI95FMjAwMDAwMDDgA8N5MTAwMDAwMNAKxnkxMDAwMDAw0ArGeTEwMDAwMDDQCsZ5MTAwMDAwMNAKxnkxMDAwMDAw0ArGeTEwMDAwMDDQCsZ5MTAwMDAwMNAKxnkxMDAwMDAw0ArGeTEwMDAwMDDQCsZ5MTAwMDAwMNAKxnkxMDAwMDAw0ArGeTEwMDAwMDDQCv8/CCWL9OdolyMAAAAASUVORK5CYII=\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,1], result_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"a\": 1.,\"w\": 1.}\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(8.3987e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3543, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.1630, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(2.3275e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.4782, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.2951, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(1.0188e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.1041, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.0689, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(7.2948e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.6632, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.5962, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(1.2538e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2057, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-0.1034, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.5399, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.4166, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2034, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.9078, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0264, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.7868, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(5.2064e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.9432, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.9164, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.4973, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(2.4500, requires_grad=True)}\n",
-      "Epoch: 10\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-1.0098, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(3.8831, requires_grad=True)}\n",
-      "Epoch: 11\t Loss: tensor(6.8418e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.1901, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(3.9137, requires_grad=True)}\n",
-      "Epoch: 12\t Loss: tensor(1.3432e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.5793, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(4.9323, requires_grad=True)}\n",
-      "Epoch: 13\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0834, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(6.4530, requires_grad=True)}\n",
-      "Epoch: 14\t Loss: tensor(9.9072e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.3140, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(7.4185, requires_grad=True)}\n",
-      "Epoch: 15\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-1.0568, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(9.2521, requires_grad=True)}\n",
-      "Epoch: 16\t Loss: tensor(2.0031e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.5873, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(11.7514, requires_grad=True)}\n",
-      "Epoch: 17\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.8779, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(13.4293, requires_grad=True)}\n",
-      "Epoch: 18\t Loss: tensor(2.1594e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2352, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(14.7111, requires_grad=True)}\n",
-      "Epoch: 19\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.7150, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(15.9932, requires_grad=True)}\n",
-      "Epoch: 20\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3120, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.3041, requires_grad=True)}\n",
-      "Epoch: 21\t Loss: tensor(5.4723e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0961, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.3183, requires_grad=True)}\n",
-      "Epoch: 22\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.2363, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.3415, requires_grad=True)}\n",
-      "Epoch: 23\t Loss: tensor(1.0712e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0687, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.3532, requires_grad=True)}\n",
-      "Epoch: 24\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0879, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.3388, requires_grad=True)}\n",
-      "Epoch: 25\t Loss: tensor(5.2423e-07, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1394, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.2626, requires_grad=True)}\n",
-      "Epoch: 26\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0586, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.1828, requires_grad=True)}\n",
-      "Epoch: 27\t Loss: tensor(4.1406e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.6978, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.0935, requires_grad=True)}\n",
-      "Epoch: 28\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.7489, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.0834, requires_grad=True)}\n",
-      "Epoch: 29\t Loss: tensor(3.0066e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.4087, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.6350, requires_grad=True)}\n",
-      "Epoch: 30\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1648, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.9664, requires_grad=True)}\n",
-      "Epoch: 31\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0102, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.9946, requires_grad=True)}\n",
-      "Epoch: 32\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2098, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.9787, requires_grad=True)}\n",
-      "Epoch: 33\t Loss: tensor(2.4440e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0487, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.9032, requires_grad=True)}\n",
-      "Epoch: 34\t Loss: tensor(6.2938e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.1638, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.8623, requires_grad=True)}\n",
-      "Epoch: 35\t Loss: tensor(4.2312e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.1970, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.8510, requires_grad=True)}\n",
-      "Epoch: 36\t Loss: tensor(7.0362e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0970, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.9308, requires_grad=True)}\n",
-      "Epoch: 37\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2049, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.9662, requires_grad=True)}\n",
-      "Epoch: 38\t Loss: tensor(2.3143e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0827, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.9852, requires_grad=True)}\n",
-      "Epoch: 39\t Loss: tensor(2.8483e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0962, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(17.0106, requires_grad=True)}\n",
-      "Epoch: 40\t Loss: tensor(2.8690e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.2079, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.9282, requires_grad=True)}\n",
-      "Epoch: 41\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.1045, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.7936, requires_grad=True)}\n",
-      "Epoch: 42\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0194, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.8154, requires_grad=True)}\n",
-      "Epoch: 43\t Loss: tensor(1.2894e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.1881, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.8178, requires_grad=True)}\n",
-      "Epoch: 44\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.2745, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.7236, requires_grad=True)}\n",
-      "Epoch: 45\t Loss: tensor(9.2718e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.4498, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.8518, requires_grad=True)}\n",
-      "Epoch: 46\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.7078, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.9996, requires_grad=True)}\n",
-      "Epoch: 47\t Loss: tensor(7.5422e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.5365, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.7109, requires_grad=True)}\n",
-      "Epoch: 48\t Loss: tensor(9.9845e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.3399, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.5500, requires_grad=True)}\n",
-      "Epoch: 49\t Loss: tensor(4.7986e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.7897, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(16.7366, requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.5},\n",
-    "    max_epochs=50,\n",
-    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'a': Parameter containing:\n",
-       " tensor(-0.7897, requires_grad=True),\n",
-       " 'w': Parameter containing:\n",
-       " tensor(16.7366, requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 9
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt=1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000e+00,  0.0000e+00],\n",
-       "        [-7.8974e-03,  1.0000e-02],\n",
-       "        [-1.5684e-02,  2.0000e-02],\n",
-       "        ...,\n",
-       "        [ 9.0370e-03,  9.9701e+00],\n",
-       "        [ 1.6422e-02,  9.9801e+00],\n",
-       "        [ 2.3238e-02,  9.9901e+00]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 10
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(1000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T01:37:53.976711</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m7bb7ab7b42\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m7bb7ab7b42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m7bb7ab7b42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m7bb7ab7b42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m7bb7ab7b42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m7bb7ab7b42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m7bb7ab7b42\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mde0987c08f\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mde0987c08f\" y=\"232.565172\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 236.364391)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mde0987c08f\" y=\"181.355485\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 185.154704)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mde0987c08f\" y=\"130.145798\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 133.945017)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mde0987c08f\" y=\"78.936111\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 82.735329)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mde0987c08f\" y=\"27.726424\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 31.525642)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pbfba49762f)\" d=\"M 61.07804 130.145798 \nL 62.377941 207.129827 \nL 63.027891 236.530849 \nL 63.677841 255.24505 \nL 64.002816 259.891735 \nL 64.327791 261.195072 \nL 64.652766 259.118636 \nL 64.977741 253.720447 \nL 65.627692 233.650885 \nL 66.277643 203.214181 \nL 67.577544 125.529456 \nL 68.55247 69.565748 \nL 69.20242 41.243721 \nL 69.85237 23.912476 \nL 70.177345 20.024144 \nL 70.50232 19.495852 \nL 70.827295 22.342355 \nL 71.15227 28.484101 \nL 71.80222 49.879493 \nL 72.452169 81.307075 \nL 75.376943 241.861829 \nL 76.026893 257.784736 \nL 76.351868 260.90905 \nL 76.676843 260.661601 \nL 77.001818 257.049295 \nL 77.326792 250.17309 \nL 77.976743 227.483451 \nL 78.626693 195.111314 \nL 81.226492 47.939075 \nL 81.876442 27.3859 \nL 82.201417 21.717484 \nL 82.526391 19.361787 \nL 82.851366 20.384634 \nL 83.176341 24.757438 \nL 83.501316 32.357992 \nL 84.151266 56.308502 \nL 85.126191 108.582263 \nL 87.07604 221.752444 \nL 87.72599 246.594341 \nL 88.050964 254.712656 \nL 88.375939 259.632372 \nL 88.700914 261.216 \nL 89.025889 259.419271 \nL 89.350864 254.292407 \nL 89.675839 245.978695 \nL 90.325789 220.802605 \nL 91.300713 167.429925 \nL 92.925588 70.936952 \nL 93.575537 42.219142 \nL 94.225489 24.383871 \nL 94.550464 20.220114 \nL 94.875439 19.410911 \nL 95.200414 21.978879 \nL 95.525389 27.852249 \nL 96.175338 48.770932 \nL 96.825288 79.844849 \nL 98.450163 177.604493 \nL 99.425087 228.364937 \nL 100.075037 250.701068 \nL 100.400012 257.37579 \nL 100.724987 260.777494 \nL 101.049962 260.81107 \nL 101.374936 257.475621 \nL 101.699911 250.864368 \nL 102.349861 228.639828 \nL 102.999811 196.604454 \nL 105.59961 49.034339 \nL 106.24956 28.001336 \nL 106.574534 22.063695 \nL 106.899509 19.429091 \nL 107.224484 20.171143 \nL 107.549459 24.269122 \nL 107.874434 31.6085 \nL 108.524384 55.106173 \nL 109.174334 88.055898 \nL 111.774133 234.458772 \nL 112.424082 254.157694 \nL 112.749057 259.349545 \nL 113.074032 261.213215 \nL 113.399007 259.696624 \nL 113.723982 254.842152 \nL 114.048957 246.785427 \nL 114.698906 222.049131 \nL 115.673831 169.065576 \nL 117.298706 72.321444 \nL 117.948655 43.213421 \nL 118.598605 24.877529 \nL 118.92358 20.439109 \nL 119.248555 19.349158 \nL 119.57353 21.638095 \nL 119.898505 27.241963 \nL 120.548454 47.679789 \nL 121.198404 78.393965 \nL 122.498304 156.251655 \nL 123.473228 211.980746 \nL 124.123178 239.998207 \nL 124.773128 256.943999 \nL 125.098103 260.622426 \nL 125.423077 260.937093 \nL 125.748052 257.879216 \nL 126.073027 251.534241 \nL 126.722981 229.779122 \nL 127.372931 198.086654 \nL 129.97273 50.147187 \nL 130.622679 28.638445 \nL 130.947654 22.432751 \nL 131.272629 19.519774 \nL 131.597604 19.980925 \nL 131.922579 23.803317 \nL 132.247554 30.880137 \nL 132.897504 53.920527 \nL 133.547453 86.544539 \nL 136.147252 233.395214 \nL 136.797202 253.580841 \nL 137.122177 259.043787 \nL 137.447152 261.187098 \nL 137.772127 259.950874 \nL 138.097102 255.369662 \nL 138.422077 247.571499 \nL 139.072026 223.279813 \nL 140.046951 170.695623 \nL 141.9968 57.820896 \nL 142.64675 33.315776 \nL 142.971725 25.393641 \nL 143.2967 20.681484 \nL 143.621675 19.310995 \nL 143.946649 21.320471 \nL 144.271624 26.653749 \nL 144.596599 35.16179 \nL 145.246549 60.669021 \nL 146.221474 114.330687 \nL 147.846348 210.620196 \nL 148.496298 239.03758 \nL 149.146248 256.489955 \nL 149.471222 260.444389 \nL 149.796197 261.040052 \nL 150.121172 258.26029 \nL 150.446147 252.182786 \nL 151.096097 230.901294 \nL 151.746047 199.557894 \nL 154.67082 38.870778 \nL 155.32077 22.824576 \nL 155.645745 19.633684 \nL 155.97072 19.813733 \nL 156.295695 23.359774 \nL 156.62067 30.172625 \nL 157.27062 52.751215 \nL 157.920569 85.043215 \nL 160.520368 232.313467 \nL 161.170318 252.982087 \nL 161.495293 258.715107 \nL 161.820268 261.137679 \nL 162.145243 260.182107 \nL 162.470218 255.875091 \nL 162.795192 248.336986 \nL 163.445142 224.494595 \nL 164.420067 172.319923 \nL 166.369916 59.05919 \nL 167.019866 34.111749 \nL 167.344841 25.931786 \nL 167.669816 20.94677 \nL 167.994791 19.296 \nL 168.319765 21.025615 \nL 168.64474 26.087274 \nL 168.969715 34.339529 \nL 169.619665 59.410629 \nL 170.59459 112.690944 \nL 172.219464 209.245796 \nL 172.869414 238.057618 \nL 173.519363 256.013199 \nL 173.844338 260.242877 \nL 174.169313 261.119413 \nL 174.494288 258.618301 \nL 174.819263 252.809449 \nL 175.469213 232.005743 \nL 176.119163 201.017573 \nL 177.419062 122.99565 \nL 178.393987 67.50742 \nL 179.043936 39.797629 \nL 179.693886 23.23915 \nL 180.018861 19.771039 \nL 180.343836 19.670035 \nL 180.668811 22.938953 \nL 180.993786 29.48645 \nL 181.643735 51.598759 \nL 182.293685 83.552507 \nL 184.893484 231.213786 \nL 185.543434 252.361271 \nL 185.868409 258.363335 \nL 186.193384 261.064785 \nL 186.518359 260.390124 \nL 186.843334 256.358199 \nL 187.168308 249.081699 \nL 187.818258 225.693343 \nL 188.468208 192.821228 \nL 191.068007 46.308556 \nL 191.717972 26.492634 \nL 192.042955 21.235864 \nL 192.367937 19.305291 \nL 192.69292 20.755026 \nL 193.017903 25.544388 \nL 193.342885 33.539684 \nL 193.992851 58.170775 \nL 194.967799 111.06064 \nL 196.592712 207.861114 \nL 197.242677 237.059895 \nL 197.892642 255.512483 \nL 198.217625 260.015011 \nL 198.542607 261.170482 \nL 198.86759 258.946751 \nL 199.192573 253.405809 \nL 199.842538 233.08027 \nL 200.492503 202.450315 \nL 201.792434 124.644326 \nL 202.767382 68.843642 \nL 203.417347 40.733981 \nL 204.067312 23.67199 \nL 204.392295 19.930504 \nL 204.717277 19.55169 \nL 205.04226 22.546298 \nL 205.367243 28.830627 \nL 206.017208 50.478594 \nL 206.667173 82.092484 \nL 209.592017 242.344375 \nL 210.241982 257.99054 \nL 210.566965 260.965604 \nL 210.891947 260.567045 \nL 211.21693 256.805996 \nL 211.541912 249.787714 \nL 212.191878 226.8493 \nL 212.841843 194.298153 \nL 215.441704 47.353428 \nL 216.091669 27.062037 \nL 216.416652 21.540096 \nL 216.741635 19.335995 \nL 217.066617 20.511182 \nL 217.3916 25.032969 \nL 217.716582 32.774969 \nL 218.366548 56.969924 \nL 219.341496 109.466687 \nL 221.291391 222.425713 \nL 221.941357 247.025503 \nL 222.266339 255.002647 \nL 222.591322 259.772818 \nL 222.916304 261.202846 \nL 223.241287 259.252614 \nL 223.56627 253.976624 \nL 223.891252 245.522476 \nL 224.541218 220.10672 \nL 225.516165 166.524325 \nL 227.141079 70.178008 \nL 227.791044 41.678154 \nL 228.441009 24.121151 \nL 228.765992 20.109648 \nL 229.090974 19.455961 \nL 229.415957 22.178358 \nL 229.74094 28.200606 \nL 230.390905 49.384223 \nL 231.04087 80.655239 \nL 233.965714 241.452521 \nL 234.615679 257.602407 \nL 234.940662 260.849167 \nL 235.265644 260.725547 \nL 235.590627 257.235163 \nL 235.91561 250.475405 \nL 236.565575 227.989824 \nL 237.21554 195.764881 \nL 239.815401 48.415469 \nL 240.465366 27.65234 \nL 240.790349 21.8664 \nL 241.115332 19.389182 \nL 241.440314 20.289764 \nL 241.765297 24.543136 \nL 242.090279 32.030276 \nL 242.740245 55.784621 \nL 243.715193 107.878643 \nL 245.665088 221.210979 \nL 246.315054 246.242684 \nL 246.640036 254.47176 \nL 246.965019 259.508686 \nL 247.290001 261.212852 \nL 247.614984 259.536481 \nL 247.939967 254.526569 \nL 248.264949 246.322979 \nL 248.914915 221.33498 \nL 249.889863 168.127719 \nL 251.514776 71.525309 \nL 252.164741 42.640527 \nL 252.814706 24.591735 \nL 253.139689 20.311102 \nL 253.464671 19.382658 \nL 253.789654 21.832195 \nL 254.114637 27.591408 \nL 254.764602 48.306739 \nL 255.414567 79.229079 \nL 256.714498 157.212244 \nL 257.689446 212.758567 \nL 258.339411 240.541904 \nL 258.989376 257.192507 \nL 259.314359 260.710362 \nL 259.639341 260.861862 \nL 259.964324 257.642631 \nL 260.289307 251.142788 \nL 260.939272 229.114171 \nL 261.589237 197.221384 \nL 264.189098 49.494526 \nL 264.839063 28.263522 \nL 265.164046 22.214652 \nL 265.489029 19.464622 \nL 265.814011 20.090437 \nL 266.138994 24.07445 \nL 266.463977 31.30547 \nL 267.113942 54.6148 \nL 267.763907 87.430904 \nL 270.363768 234.020809 \nL 271.013733 253.919488 \nL 271.338716 259.222396 \nL 271.663699 261.200385 \nL 271.988681 259.798333 \nL 272.313664 255.055272 \nL 272.638646 247.1039 \nL 273.288612 222.548264 \nL 274.26356 169.725929 \nL 275.888473 72.885353 \nL 276.538438 43.621004 \nL 277.188403 25.083914 \nL 277.513386 20.534952 \nL 277.838368 19.33177 \nL 278.163351 21.508142 \nL 278.488334 27.003099 \nL 279.138299 47.246319 \nL 279.788264 77.814364 \nL 281.088195 155.58187 \nL 282.063143 211.43515 \nL 282.713108 239.612869 \nL 283.363073 256.760964 \nL 283.688056 260.549408 \nL 284.013038 260.975848 \nL 284.338021 258.028523 \nL 284.663004 251.789645 \nL 285.312969 230.222092 \nL 285.962934 198.667261 \nL 288.887778 38.318496 \nL 289.537743 22.584719 \nL 289.862726 19.562536 \nL 290.187708 19.913306 \nL 290.512691 23.627378 \nL 290.837674 30.60081 \nL 291.487639 53.460836 \nL 292.137604 85.955806 \nL 294.737465 232.972819 \nL 295.38743 253.346336 \nL 295.712413 258.914091 \nL 296.037396 261.165694 \nL 296.362378 260.038066 \nL 296.687361 255.562884 \nL 297.012343 247.865057 \nL 297.662309 223.746363 \nL 298.637257 171.318752 \nL 300.587152 58.29336 \nL 301.237118 33.618291 \nL 301.5621 25.597384 \nL 301.887083 20.78078 \nL 302.212066 19.30323 \nL 302.537048 21.205884 \nL 302.862031 26.435717 \nL 303.187013 34.846427 \nL 303.836979 60.188297 \nL 304.811927 113.706273 \nL 306.43684 210.098394 \nL 307.086805 238.665414 \nL 307.73677 256.307979 \nL 308.061753 260.366173 \nL 308.386735 261.067628 \nL 308.711718 258.392599 \nL 309.036701 252.415994 \nL 309.686666 231.313359 \nL 310.336631 200.102416 \nL 311.961544 102.289199 \nL 312.936492 51.70292 \nL 313.586457 29.548031 \nL 313.91144 22.976563 \nL 314.236423 19.682788 \nL 314.561405 19.758457 \nL 314.886388 23.201759 \nL 315.211371 29.916448 \nL 315.861336 52.323173 \nL 316.511301 84.490813 \nL 319.111162 231.907697 \nL 319.761127 252.752266 \nL 320.08611 258.583838 \nL 320.411093 261.108634 \nL 320.736075 260.255802 \nL 321.061042 256.049169 \nL 321.386025 248.606603 \nL 322.03599 224.9294 \nL 323.010938 172.906491 \nL 324.960834 59.511294 \nL 325.610799 34.404869 \nL 325.935782 26.132019 \nL 326.260764 21.04866 \nL 326.585747 19.296868 \nL 326.91073 20.925298 \nL 327.235712 25.888748 \nL 327.560695 34.048489 \nL 328.21066 58.961683 \nL 329.185608 112.102533 \nL 330.810521 208.747703 \nL 331.460486 237.698959 \nL 332.110452 255.833007 \nL 332.435434 260.16034 \nL 332.760417 261.13684 \nL 333.0854 258.734909 \nL 333.410382 253.021682 \nL 334.060347 232.388125 \nL 334.710313 201.527156 \nL 336.010243 123.580468 \nL 336.985191 67.980031 \nL 337.635156 40.127549 \nL 338.285122 23.39025 \nL 338.610104 19.825036 \nL 338.935087 19.625585 \nL 339.26007 22.797467 \nL 339.585052 29.252031 \nL 340.235017 51.200686 \nL 340.884983 83.03505 \nL 343.484844 230.824833 \nL 344.134809 252.136743 \nL 344.459792 258.231493 \nL 344.784774 261.029025 \nL 345.109757 260.451142 \nL 345.434739 256.514002 \nL 345.759722 249.327631 \nL 346.409687 226.096327 \nL 347.059653 193.335613 \nL 349.659514 46.669523 \nL 350.309479 26.687783 \nL 350.634461 21.338613 \nL 350.959444 19.312902 \nL 351.284427 20.667271 \nL 351.609409 25.363861 \nL 351.934392 33.271126 \nL 352.584357 57.751017 \nL 353.559305 110.505252 \nL 355.184218 207.385493 \nL 355.834184 236.715258 \nL 356.484149 255.337288 \nL 356.809131 259.93296 \nL 357.134114 261.183855 \nL 357.459097 259.055004 \nL 357.784079 253.606214 \nL 358.434045 233.445549 \nL 359.08401 202.939848 \nL 360.38394 125.211402 \nL 361.358888 69.305746 \nL 362.008853 41.059761 \nL 362.658819 23.825227 \nL 362.983801 19.989843 \nL 363.308784 19.515616 \nL 363.633767 22.415496 \nL 363.958749 28.608741 \nL 364.608714 50.09576 \nL 365.25868 81.590947 \nL 368.183523 242.036032 \nL 368.833489 257.857611 \nL 369.158471 260.927354 \nL 369.483454 260.624524 \nL 369.808436 256.957592 \nL 370.133419 250.029048 \nL 370.783384 227.247658 \nL 371.43335 194.809314 \nL 374.033211 47.7207 \nL 374.683176 27.264922 \nL 375.008159 21.650934 \nL 375.333141 19.351686 \nL 375.658124 20.431431 \nL 375.983106 24.859987 \nL 376.308089 32.513594 \nL 376.958054 56.555656 \nL 377.933002 108.913477 \nL 379.882898 222.004748 \nL 380.532863 246.75518 \nL 380.857846 254.820223 \nL 381.182828 259.683384 \nL 381.507811 261.208751 \nL 381.832794 259.353684 \nL 382.157776 254.170037 \nL 382.482759 245.802957 \nL 383.132724 220.535468 \nL 384.107672 167.082461 \nL 385.732585 70.644992 \nL 385.732585 70.644992 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pbfba49762f\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot\n",
-    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Runge-Kutta for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"a\": 1.,\"w\": 1.}\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(9.1289e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0290, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(2.5714, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.4045, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(0.6908, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-1.3988, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-0.1943, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.5274, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-1.9835, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(1.6118, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.7478, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-1.0194, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-6.2300, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(8.5691e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-1.1716, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-5.5097, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.4992, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.9050, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3742, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.9329, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.6733, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.7082, requires_grad=True)}\n",
-      "Epoch: 10\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2293, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2861, requires_grad=True)}\n",
-      "Epoch: 11\t Loss: tensor(6.8433e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.6046, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.5379, requires_grad=True)}\n",
-      "Epoch: 12\t Loss: tensor(7.0519e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.8078, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.8330, requires_grad=True)}\n",
-      "Epoch: 13\t Loss: tensor(9.2921e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2277, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.6744, requires_grad=True)}\n",
-      "Epoch: 14\t Loss: tensor(1.1886e-09, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.9219, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.7873, requires_grad=True)}\n",
-      "Epoch: 15\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.2405, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.6873, requires_grad=True)}\n",
-      "Epoch: 16\t Loss: tensor(1.8628e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.5603, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.6175, requires_grad=True)}\n",
-      "Epoch: 17\t Loss: tensor(2.2946e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3432, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.9978, requires_grad=True)}\n",
-      "Epoch: 18\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.2817, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.7970, requires_grad=True)}\n",
-      "Epoch: 19\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.4366, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.4324, requires_grad=True)}\n",
-      "Epoch: 20\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.4259, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.3270, requires_grad=True)}\n",
-      "Epoch: 21\t Loss: tensor(8.0545e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3077, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2857, requires_grad=True)}\n",
-      "Epoch: 22\t Loss: tensor(1.1119e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3873, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.3110, requires_grad=True)}\n",
-      "Epoch: 23\t Loss: tensor(1.2416e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.6498, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2802, requires_grad=True)}\n",
-      "Epoch: 24\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.8757, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2127, requires_grad=True)}\n",
-      "Epoch: 25\t Loss: tensor(1.6099e-07, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.4610, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2095, requires_grad=True)}\n",
-      "Epoch: 26\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1481, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2386, requires_grad=True)}\n",
-      "Epoch: 27\t Loss: tensor(8.1894e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0622, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2254, requires_grad=True)}\n",
-      "Epoch: 28\t Loss: tensor(9.0573e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0506, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2273, requires_grad=True)}\n",
-      "Epoch: 29\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.1458, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2121, requires_grad=True)}\n",
-      "Epoch: 30\t Loss: tensor(9.7300e-08, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2710, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.1828, requires_grad=True)}\n",
-      "Epoch: 31\t Loss: tensor(4.0043e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3712, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2271, requires_grad=True)}\n",
-      "Epoch: 32\t Loss: tensor(6.6276e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2286, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.3179, requires_grad=True)}\n",
-      "Epoch: 33\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.5187, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.1811, requires_grad=True)}\n",
-      "Epoch: 34\t Loss: tensor(3.4604e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2911, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.0534, requires_grad=True)}\n",
-      "Epoch: 35\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0096, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.1589, requires_grad=True)}\n",
-      "Epoch: 36\t Loss: tensor(2.0865e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.1714, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2220, requires_grad=True)}\n",
-      "Epoch: 37\t Loss: tensor(4.2937e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0344, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2021, requires_grad=True)}\n",
-      "Epoch: 38\t Loss: tensor(3.8148e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.2675, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2227, requires_grad=True)}\n",
-      "Epoch: 39\t Loss: tensor(1.2807e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0064, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.3249, requires_grad=True)}\n",
-      "Epoch: 40\t Loss: tensor(4.7085e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.5191, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.4220, requires_grad=True)}\n",
-      "Epoch: 41\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2200, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2602, requires_grad=True)}\n",
-      "Epoch: 42\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.4233, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2988, requires_grad=True)}\n",
-      "Epoch: 43\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.8801, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.4593, requires_grad=True)}\n",
-      "Epoch: 44\t Loss: tensor(1.3130e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.7841, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.9353, requires_grad=True)}\n",
-      "Epoch: 45\t Loss: tensor(6.2324e-07, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.1745, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.9127, requires_grad=True)}\n",
-      "Epoch: 46\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2285, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.9252, requires_grad=True)}\n",
-      "Epoch: 47\t Loss: tensor(1.9436e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3970, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.8764, requires_grad=True)}\n",
-      "Epoch: 48\t Loss: tensor(5.2493e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0436, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.9042, requires_grad=True)}\n",
-      "Epoch: 49\t Loss: tensor(1.1490e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0989, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.9269, requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.5},\n",
-    "    max_epochs=50,\n",
-    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'a': Parameter containing:\n",
-       " tensor(-0.0989, requires_grad=True),\n",
-       " 'w': Parameter containing:\n",
-       " tensor(-2.9269, requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 14
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000e+00,  0.0000e+00],\n",
-       "        [-9.8864e-04,  1.0000e-02],\n",
-       "        [-1.9764e-03,  2.0000e-02],\n",
-       "        ...,\n",
-       "        [ 2.6607e-02,  9.9701e+00],\n",
-       "        [ 2.7204e-02,  9.9801e+00],\n",
-       "        [ 2.7779e-02,  9.9901e+00]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 15
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(1000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T01:42:24.408831</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mea6398f250\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#mea6398f250\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#mea6398f250\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#mea6398f250\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#mea6398f250\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#mea6398f250\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#mea6398f250\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m73c309b867\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m73c309b867\" y=\"247.675684\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.03 -->\n      <g transform=\"translate(7.2 251.474903)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m73c309b867\" y=\"211.869996\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 215.669215)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m73c309b867\" y=\"176.064309\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.01 -->\n      <g transform=\"translate(7.2 179.863527)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m73c309b867\" y=\"140.258621\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.05784)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m73c309b867\" y=\"104.452933\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.01 -->\n      <g transform=\"translate(15.579688 108.252152)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m73c309b867\" y=\"68.647246\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 72.446465)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m73c309b867\" y=\"32.841558\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.03 -->\n      <g transform=\"translate(15.579688 36.640777)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p571e89c7b3)\" d=\"M 61.07804 140.258621 \nL 65.302717 185.181317 \nL 67.577544 207.091527 \nL 69.527395 223.678449 \nL 71.15227 235.560118 \nL 72.452169 243.609311 \nL 73.752069 250.24356 \nL 74.726993 254.235293 \nL 75.701918 257.348843 \nL 76.676843 259.560219 \nL 77.326792 260.524564 \nL 77.976743 261.076918 \nL 78.626693 261.2154 \nL 79.276643 260.93953 \nL 79.926592 260.250254 \nL 80.576542 259.149922 \nL 81.226492 257.642307 \nL 82.201417 254.62893 \nL 83.176341 250.734342 \nL 84.151266 245.988548 \nL 85.451165 238.400839 \nL 86.751065 229.469494 \nL 88.375939 216.603704 \nL 90.325789 199.037112 \nL 92.600613 176.298788 \nL 96.175338 137.910234 \nL 100.075037 96.444711 \nL 102.349861 74.422353 \nL 104.29971 57.705893 \nL 105.924585 45.695699 \nL 107.224484 37.53216 \nL 108.524384 30.775029 \nL 109.499308 26.68655 \nL 110.474233 23.473121 \nL 111.449158 21.159517 \nL 112.099107 20.126105 \nL 112.749057 19.50423 \nL 113.399007 19.296 \nL 114.048957 19.502149 \nL 114.698906 20.12197 \nL 115.348856 21.153328 \nL 115.998806 22.592689 \nL 116.973731 25.505586 \nL 117.948655 29.302641 \nL 118.92358 33.954605 \nL 120.223479 41.4242 \nL 121.523379 50.246915 \nL 123.148253 62.992483 \nL 125.098103 80.441002 \nL 127.372931 103.082167 \nL 130.947654 141.414947 \nL 135.172328 186.252885 \nL 137.447152 208.052271 \nL 139.397001 224.511988 \nL 141.021876 236.267881 \nL 142.321775 244.205423 \nL 143.621675 250.71985 \nL 144.596599 254.617339 \nL 145.571524 257.633703 \nL 146.221474 259.143333 \nL 146.871423 260.245706 \nL 147.521373 260.937062 \nL 148.171323 261.215013 \nL 148.821273 261.078612 \nL 149.471222 260.528325 \nL 150.121172 259.566048 \nL 150.771122 258.195061 \nL 151.746047 255.382911 \nL 152.720971 251.683748 \nL 153.695896 247.126069 \nL 154.995795 239.775294 \nL 156.295695 231.062069 \nL 157.920569 218.43795 \nL 159.870419 201.109206 \nL 162.145243 178.56739 \nL 165.719966 140.294116 \nL 169.94464 95.368878 \nL 172.219464 73.45528 \nL 174.169313 56.864464 \nL 175.794188 44.978933 \nL 177.094087 36.926298 \nL 178.393987 30.288361 \nL 179.368911 26.29374 \nL 180.343836 23.177203 \nL 181.318761 20.962745 \nL 181.96871 19.996333 \nL 182.61866 19.441898 \nL 183.26861 19.301335 \nL 183.91856 19.575125 \nL 184.568509 20.262319 \nL 185.218459 21.360571 \nL 185.868409 22.866132 \nL 186.843334 25.876507 \nL 187.818258 29.768174 \nL 188.793183 34.51116 \nL 190.093082 42.095341 \nL 191.39299 51.023445 \nL 193.017903 63.885673 \nL 194.967799 81.448831 \nL 197.242677 104.184377 \nL 200.817486 142.571399 \nL 204.717277 184.039125 \nL 206.992156 206.06445 \nL 208.942051 222.784298 \nL 210.566965 234.797794 \nL 211.866895 242.964247 \nL 213.166826 249.724479 \nL 214.141774 253.815392 \nL 215.116721 257.031289 \nL 216.091669 259.347414 \nL 216.741635 260.382507 \nL 217.3916 261.00609 \nL 218.041565 261.216 \nL 218.69153 261.011532 \nL 219.341496 260.393378 \nL 219.991461 259.363661 \nL 220.641426 257.925913 \nL 221.616374 255.015378 \nL 222.591322 251.22059 \nL 223.56627 246.570794 \nL 224.8662 239.103893 \nL 226.166131 230.283625 \nL 227.791044 217.540738 \nL 229.74094 200.094814 \nL 232.015818 177.455747 \nL 235.590627 139.124173 \nL 239.815401 94.284468 \nL 242.090279 72.482872 \nL 244.040175 56.020674 \nL 245.665088 44.262406 \nL 246.965019 36.322784 \nL 248.264949 29.806156 \nL 249.239897 25.906972 \nL 250.214845 22.888874 \nL 250.86481 21.378071 \nL 251.514776 20.274524 \nL 252.164741 19.582008 \nL 252.814706 19.302883 \nL 253.464671 19.438123 \nL 254.114637 19.987263 \nL 254.764602 20.94842 \nL 255.414567 22.3183 \nL 256.389515 25.128848 \nL 257.364463 28.826465 \nL 258.339411 33.382677 \nL 259.639341 40.731637 \nL 260.939272 49.443215 \nL 262.564185 62.06554 \nL 264.514081 79.392577 \nL 266.788959 101.933002 \nL 270.038785 136.665587 \nL 274.588542 185.131731 \nL 276.863421 207.046636 \nL 278.813316 223.638906 \nL 280.438229 235.525831 \nL 281.73816 243.579673 \nL 283.038091 250.218857 \nL 284.013038 254.214445 \nL 284.987986 257.331943 \nL 285.962934 259.547361 \nL 286.612899 260.514413 \nL 287.262865 261.069488 \nL 287.91283 261.210678 \nL 288.562795 260.937515 \nL 289.21276 260.250921 \nL 289.862726 259.153257 \nL 290.512691 257.648269 \nL 291.487639 254.638734 \nL 292.462587 250.747854 \nL 293.437535 246.005595 \nL 294.737465 238.422308 \nL 296.037396 229.494997 \nL 297.662309 216.633636 \nL 299.612204 199.071332 \nL 301.887083 176.33648 \nL 305.461892 137.94985 \nL 309.361683 96.481542 \nL 311.636562 74.455406 \nL 313.586457 57.734638 \nL 315.211371 45.720202 \nL 316.511301 37.552928 \nL 317.811232 30.791809 \nL 318.78618 26.700209 \nL 319.761127 23.483578 \nL 320.736075 21.16672 \nL 321.386025 20.131107 \nL 322.03599 19.507018 \nL 322.685956 19.2966 \nL 323.335921 19.500562 \nL 323.985886 20.118208 \nL 324.635851 21.147419 \nL 325.285817 22.584673 \nL 326.260764 25.494461 \nL 327.235712 29.288536 \nL 328.21066 33.937638 \nL 329.510591 41.403665 \nL 330.810521 50.223126 \nL 332.435434 62.965126 \nL 334.38533 80.41017 \nL 336.660209 103.04851 \nL 340.235017 141.379653 \nL 344.459792 186.220012 \nL 346.73467 208.022459 \nL 348.684566 224.485624 \nL 350.309479 236.244852 \nL 351.609409 244.185321 \nL 352.90934 250.70285 \nL 353.884288 254.602747 \nL 354.859236 257.621578 \nL 355.509201 259.132888 \nL 356.159166 260.236942 \nL 356.809131 260.929979 \nL 357.459097 261.209611 \nL 358.109062 261.074877 \nL 358.759027 260.526245 \nL 359.408992 259.565594 \nL 360.058958 258.196221 \nL 361.033906 255.386433 \nL 362.008853 251.68953 \nL 362.983801 247.134012 \nL 364.283732 239.785939 \nL 365.583662 231.075168 \nL 367.208575 218.45373 \nL 369.158471 201.127593 \nL 371.43335 178.587909 \nL 374.683176 143.855772 \nL 379.232933 95.388999 \nL 381.507811 73.473254 \nL 383.457707 56.880017 \nL 385.08262 44.992144 \nL 385.732585 40.794435 \nL 385.732585 40.794435 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p571e89c7b3\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjgAAAGdCAYAAAAfTAk2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAAB4J0lEQVR4nO29e5hU1ZX3/z1172v1jb5BNzQXBcVrExUi4ky0veUyo44aE4zxMvIQo8DkzUTJ+wtjEonG4eXNoDLeYhJ14jOvIZNkCIGYiDqAAoIoNiiCdNN09b2ruqu763p+f5zap6rp6u6q6nPdZ32ehz+oPlW9q9c5a3/32mutLYiiKIIgCIIgCIIjbHoPgCAIgiAIQmlI4BAEQRAEwR0kcAiCIAiC4A4SOARBEARBcAcJHIIgCIIguIMEDkEQBEEQ3EEChyAIgiAI7iCBQxAEQRAEdzj0HoAexONxnD59GkVFRRAEQe/hEARBEASRAaIoYmBgALW1tbDZJo7RWFLgnD59GnV1dXoPgyAIgiCIHGhtbcWMGTMmvMaSAqeoqAiA9AcqLi7WeTQEQRAEQWRCIBBAXV2dPI9PhCUFDtuWKi4uJoFDEARBECYjk/QSSjImCIIgCII7SOAQBEEQBMEdJHAIgiAIguAOEjgEQRAEQXAHCRyCIAiCILiDBA5BEARBENxBAocgCIIgCO4ggUMQBEEQBHeQwCEIgiAIgjtI4BAEQRAEwR0kcAiCIAiC4A4SOARBEARBcIclD9sk9EEURbze3Im9J3uxoLoYX7qgFnbb5AemEcoRi4v4w6HT+Kg9gMb6Ulx9TlVGh9YRyhGNxfGbA2043hXEFfMqsGRuhd5DshzBUBT/b/8pdARG0HRuNS6sK9F7SIQKCKIoinoPQmsCgQC8Xi/8fj+dJq4Roiji+7/9EC+/0yK/9rfzK/HM8kY47BRI1IJYXMTKl/fjT4c75Ne+dmk9fvR3C0nkaMRQOIpv/nwv3jnRK7+2+qqz8OBV83QclbXoC4bxD/++G8c6BwEAggD88CsL8fXLZuo8MiITspm/aWYhNOGVd1vw8jstsAnA3180HR6nDX850okNOz7We2iWYeOfP8afDnfA5bDh7y6shSAAL7/Tgl/uPqn30CzDI7//CO+c6EWBy47rz6sGAPyfP3+MbR/6dB6ZNRBFEatePYhjnYOoKnbjqgVVEEXgB787jP0neyf/AMJUkMAhVMc/HMHj244CAP752vn4P7deiH/9hwsBAM+8eRwne4I6js4atPYO4d93HgcA/PTm87Hxtovw/RvOAQA8sf0ougdDeg7PEhxo6cOv97ZCEIBnv7EIT32tEf94xWwAwA//8BFGIjGdR8g/Oz7qwM6Pu+Bx2vDiNy/Bs3c04ssX1CIWF/HI7z+CBTc0uIYEDqE6z799Av7hCM6qKsQ9SyWHfsP5NVh21jRE4yL+7+uf6DxC/tn0l2MIx+K4fG4FvnxBLQDgziWzcG5tMQZGovjlrs/0HaAFYPf5TRfPwJI5Ut7N6qvOQnWxB239w/jPfa16Do97RFGUI8Z3X96ABTXFEAQB/9+XzkG+y473T/mx46OOST6FMBMkcAhVicTieCWRd/PgF84alVS8+uqzAAB/eL8dfcGwLuOzAv6hCP7r/TYAwKqr5sn5NnabgJVXzgUgbVVRBEE9TnQH8cbRLtgE4Nt/O1d+Pc9lx33LJNH/qz0nKYKgIns/68MR3wDyXXb849I58usVhW7csXgWAMkGBD+QwCFU5fXmTnQPhlBR6EbTuVWjfnZhXQnOrS1GOBbHa++d0mmE/LPlwCmMROKYX12Expmlo352zblVqPF60BMM4/XmTp1GyD//b78UnbnirGmYWV4w6mc3Nc5AntOOjzsGse9knx7DswT/8a600PrS+bXw5jtH/ez2S+oBAG990o3W3iHNx0aoAwkcQlV+l4gc3HTxdDjTVEvd9rk6AMDv3z+t6bisxB8OtQMAbv1c3ZhqKYfdhq9cOD1xHdlADURRxG8PSH/bf2isG/PzYo8T1yUSjv87YStCWUYiMTmR+9ZLxtqgvjwfn59bDgD4PT0H3EACh1CNkUgMfz3SBUDKuUnHtQtrIAjA+6f8ON0/rOXwLIHPPyJHBa5bmN4GX7pAev0vRzoxGIpqNjar0Nw+gLb+YXicNnxhQWXaa244T7LBHz9sRzxO21RK89Yn3RiOxFDr9eCicXreXJ+wwZ+ooo0bSOAQqpHqVM6b7k17zbQiNxYltk22HybHojQ7mqWkyYvrS1Dt9aS95pyaYswqz0coGsf/HOvWcniW4K9Hpa2/y+dWwOO0p73m8nkVKHI70BEI4f1T/RqOzhr8KeFbms6tHrfnk9T0khZbPEECh1CNNz+WojdfWDBxt9yrFki5OW9+QpOr0vxP4m/6t/PTRw4AQBAEXHm29POdCZsRyvF6QmT+zQQ2cDvsuHyeVFn1Fj0HiiKKouyLrj6natzrKouS0Z23yQZcQAKHUI3dx3sAAJ+fpBU9+/m7J3oRjcVVH5dViMVF7PpUctSTHQew7KxpAICdR7uokkdBeoNhHGjtBwD8zdnjCxwAWDpPssFbn5DIVJJPu4LoHAjB5bCNSbI/E+aL2HNDmBsSOIQqdAZGcKxzEIIAXDa7bMJrF9QUw5vnxGAoig/a/BqNkH8On/YjMBJFkduB88fZImRcNrscLrsNbf3DONlDVSRKsfvTHogiML+6CLUleRNeuzQRwXmvpR8DIxEthmcJdifEyqKZpeNuETIWz5ESjXcf7yGhzwEkcAhVYNGbc2qKUZLvmvBau02QRdCuT3tUH5tV+J9j0t/y0tnlk573leeyY+F06VwXKlVWjr2fSe3/L22YWOQDQF1ZPurK8hCLiziYiPoQU4f5osWzyye99uL6UrgcNnQEQjjeTR3WzQ4JHEIVdieEypI5kzsVIOl8dpPAUQwWZmflr5PxuVnSJExn8ijHvsTfctGsyQUOACyaKV237zMSmUoQj4tJX5TBc+Bx2tFYL21j0WLL/JDAIVTh3cRpyZdlsGoCgMWJ1vX7T/ZRHo4CxFOiAJ/LdHJNXLeXJldFGAxF8dHpAABg0ayJcz8YFydyRN5rIRsowbGuQfQNRZDntOP8GSUZvYdtU717goS+2dFE4Dz11FNoaGiAx+NBY2Mj3nrrrQmv37lzJxobG+HxeDB79mxs3rx51M9/85vfYNGiRSgpKUFBQQEuvPBC/OpXv1LzKxBZ4B+OyOHdi+ozc+xzKwtR6HZgOBLDJ52Dag7PEhzvDmJgJAqP04b51UUZvYclYB7rHEQvHZ0xZQ629CMuAtNL8lDjnTj/hsFaJhxo6UeM+uFMmfcTIv+8Gd60jUbTcVF9CQDgEJXrmx7VBc6rr76KVatWYe3atThw4ACWLl2K6667Di0tLWmvP3HiBK6//nosXboUBw4cwMMPP4wHHngAr732mnxNWVkZ1q5di927d+PQoUP45je/iW9+85v405/+pPbXITLgg1NSonB9WT7KCibOv2HYbYLcK4ccy9Rh0Zvzpnsnzb9hlBW4MGeadIzAfsrDmTIs/+ZzGUZvAOCsqiIUuh0YDEVx1Deg1tAsA+spdMGMiZPsUzl/egkA4GTPEJ2RZ3JUFzgbNmzA3XffjXvuuQcLFizAxo0bUVdXh6effjrt9Zs3b0Z9fT02btyIBQsW4J577sFdd92FJ554Qr7myiuvxN///d9jwYIFmDNnDh588EGcf/75ePvtt9X+OkQGMKdyfhZOBQDOr5OuP9hKlVRT5WCrJFAuHKdr63hcnIi4kcicOuw5uHiS0uRU7DZBjiDsp22qKXMosdi6IIvnwJvvREOFJPQPUVWnqVFV4ITDYezfvx9NTU2jXm9qasKuXbvSvmf37t1jrr/mmmuwb98+RCJjSydFUcTrr7+Oo0eP4oorrkj7maFQCIFAYNQ/Qj1Y9CDbyfXCxB75+1RBMmXeb83esQNSKB8APiTHPmU+bJP8zMJJSvTP5ILEc/DhKbLBVAhFY2hul2xwQYb5NwwW8SFfZG5UFTjd3d2IxWKoqhrdPbKqqgo+X/q2/D6fL+310WgU3d3J5kt+vx+FhYVwuVy44YYb8G//9m+4+uqr037m+vXr4fV65X91dWMPWyOUg63+s51c2fVHOwYwEokpOygLMRJJOvZsRea5tVKp+OHTtAiYCp2BEXQPhmATgAXVxVm9l9ngo3aywVRobh9AJCairMCFGaWZ5UAxzqfFFhdokmR8Zpt+URQnbN2f7vozXy8qKsLBgwexd+9e/PjHP8aaNWvwxhtvpP28hx56CH6/X/7X2tqa4zchJsPnH0FHQHLszFFnSo3Xg2lFbsTiIg6fptVrrhz1DSAaF1Fe4ML0SZrLncmCmmIIAtA5EEJnYESlEfLPh4n7d860QuS5Jm4udybnJJ6bo74BRKiiMGcOpeTfTDTfpIMttuhcMHOjqsCpqKiA3W4fE63p7OwcE6VhVFdXp73e4XCgvDxZcmyz2TB37lxceOGF+Kd/+ifcfPPNWL9+fdrPdLvdKC4uHvWPUAcWOZgzrRD5LkdW7xUEIWX1SgmWuXLEJ9lAEivZOfZ8lwNzphUCoCjOVMh1ewoA6krzUeR2IByL4xhVFOYMK9HPxQbnJIR+92AYXQMhpYdGaISqAsflcqGxsRE7duwY9fqOHTuwZMmStO9ZvHjxmOu3b9+ORYsWwel0jvu7RFFEKEQ3ot4cSVR+zK/JTUTOT4Tzj1B4PmeaE+Iw0/LwM1kob1NRFC1X2N8u2ygmANhsAhbQVuGUkX1RlluEgNTZe1Z5QeJzyAZmRfUtqjVr1uC5557DCy+8gObmZqxevRotLS1YsWIFAGn76I477pCvX7FiBU6ePIk1a9agubkZL7zwAp5//nl85zvfka9Zv349duzYgePHj+PIkSPYsGEDfvnLX+LrX/+62l+HmATmDHKdXBfUSO+jEtncYVG0XEXmubXSipfOBcsdFsFhf8tsOZdE5pSIx0V83CH5kLNz9EXMh5EvMi/Z7SHkwK233oqenh488sgjaG9vx8KFC7F161bMnDkTANDe3j6qJ05DQwO2bt2K1atX48knn0RtbS1+9rOf4aabbpKvCQaDWLlyJU6dOoW8vDzMnz8fL730Em699Va1vw4xCUemGD04O8WpTJarRYxFFEV55crEYrak5oAQ2TMwEkFb/zAAaasjF5gwoghObrT2DWEoHIPbYcOs8vycPmN+dTH++KFPjogS5kN1gQMAK1euxMqVK9P+7MUXXxzz2rJly/Dee++N+3k/+tGP8KMf/Uip4REKEY7G8WmXlDOQa/RgdkUhnHYBA6Eo2vqHMaM0N+dkVXyBEfiHI7DbBMytLMzpM+ZVSe872TuEkUhs0hOYidGwvJnKIje8+eNvq08EWyB83EFCPxeYKJlXVZhxo8szmZ9YINAWlXmhs6gIxfi0axDRuIgijwO1Xk9On+Fy2OQk1yO0csoa9jebM60AbkduwmRaoRsl+U6IIijJNQfYUSNMKObCnGmFEASgfyiC7kHqppstya3y3AtKmMj8pHOQzsczKSRwCMVIzb+ZyoqTORZaOWVPswKOXRAEnFXJnDuJzGxhonBeZW5bhICU5FpfJkUvyQbZc9Q3ta1yQKpmy3fZEY7G8VlPUKmhERpCAodQjI87JMd+VlXuTgUAzk5Mzkc7KHqQLZ92So54Xo7bUwwWffiEbJA1TODkukXIYDakKFr2HJ1igjEgVbMxX3aE8tFMCQkcQjE+Vcixs/d/So49a1gO1Jwp2oA59o9J4GQNi7hMVWTOZVE0skFWRGJxtPQMAVDOFx3voghONrT1D+Pmp3fh+7/9QNdxaJJkTFiD492SE5g9bWpOhZ1ofbx7EPG4CJuNEiwzQRRFHE8InNmJv2GuyBEc2h7JiqFwFKf6pAqqeVOMZJ5FNsiJlt4hROMi8l12VBfnlgvIYPmAbOFAZMaxzkHsO9kH//DY8yO1hCI4hCJEY3GcTOxTz5ni5FpXlg+nXcBIJI7T/mElhmcJugfDCIxEIQiQm5TlCssfaekdwnCYzgXLlONdQYgiUF7gQlmBa0qfNY8iODnBoi0NFQVTrj5jvowETnYotdCaKiRwCEVo7RtGJCbC47Sh1pvd+Udn4rTbMLOcORYKDWcKc8IzSvOmXNpdUeiSK6lOdJMNMoVFW6a6NQIAcyqlZ6AnGEbPIHVpz5RP5clVCRuw7fIg4nFxyp9nFZjIVMIGU4EEDqEITLHPKi9QZEtJ3qailVPGMKcyRwGnIggCGiokG1AFSeawaMtUSsQZ+S6HfFgqiczMYT5jqpFkAKgvy4fDJmA4EoOPDp/NmOPdCZFZQREcggOUnFxTP4dCw5kjJxgrZIOGRBSNJtfM+USBEvFUmMgkG2SOktEDp92G+kQnZPJFmUMRHIIrZMWu0J6rLHA6ybFnitL73rNocs0a5W0gTa4URcscudhBoegB80VUSZUZQ+Eo2v1StEuJKNpUIIFDKMKnSkdwWA8QWjVljNI2kLeoSOBkRCwuorVXSoqfapI3g33OZ91Dinwe7/QFw+gNSp2flV5sUT+izGBCsDTfiZL8qSXaTxUSOIQiJEOSyjgVNrl2DYQwGIoq8pk8MxKJobVPmgSVFjgUwcmMdv8wwrE4nHYBtSVTS7RnzKJtwqxgkeQarwf5LmW6oMymXLSsUKpdiBKQwCGmjH84gu5ElUeDQmFhb54TpYmDClnTLmJ8TvYMQRSBIo8DFYXKrJrYFlVPMIzAiL79LMzAycR9WleWD7tCvZtmpUyuokhVPJOhdBQTAGYmcnBOkh/KiBNdym4RTgUSOMSUYXkHlUVuFHlyOz05HfWJ1WtLL62cJuNEStWCUidPF7odmFbkBkDbVJnAJkCltqcAqYrHJgBD4Ri6qFR8UpSOJAOQW1a09Q8jQoduTgqLdDXonH8DkMAhFEC+oRVW7DPLWIIlrZwmo6VX+hvNVHByBaiSKhtYo0u24lcCl8OG6aXSdhfl4UwOE+JK+qLKIjfcDhticRFtfdR4dDLk56CMBA7BAS090kOvpGNP/TwKDU8O+xuxE6iVglXxkMCZHCb0lYzgpH4eRdEmJyn0lXsObDZBfq5O9pIvmoyWXnXmg1wggUNMGbWiBzNpiypjmA3qFXYqDRVSLgNNrpPDRKbSjl1O9qYk1wkRRRGtveoIfdkXkQ0mJBiKyvmYdQrbIBdI4BBThjkVpW9oiuBkTotKjr2BRXDIBhMiiiJFcHSmfyiCgUTF5YxS8kV6wCo5vXlOePOUy8fMFRI4xJRRa3JlOTin+4cRjlJy33hEY3E5N0Dp6MEs6oWTEZ0DIYxE4rDbBDlnRimoXD8zmB+qKnZP+Sy2M2HPFeUDToxaUcxcIYFDTImRlDNalBY404rcyHPaEReBU33kWMaj3T+CaFyEy2FDVZFH0c+uS6yE/cMRKhWfACYAp5fkwWlX1q2mRg+oVHx81FpopX4mbZdPjFrR/FwhgUNMiVOJyEGh2yH3rVEKQaDkvkxgjr2uNE+Rg05TKXA7UF4g9dVpJRuMi5or1+mleRAEYDgSQ0+iSy8xlhYVJ9dZcj4gicyJkPMxSeAQPJCq2JXqv5IKmzCo2d/4qFVBxZiR2HJhxxAQY1Er/wYA3A47qoulyNwpKlMeF7USjAFJZNptAkYicXQOUD+i8VDbF2ULCRxiSiTDwsrmHTAouW9y1AzNA8CMxOfSNuH4qG4DWWSSDcZDTRs47TbUlkgik3zR+LSqVM2ZKyRwiCmhtmOnbsaTw/429SpED4BkHg5FD8aH/W3qVBL6ZIPJUdsXscZ1dCZVemJxUa6ioggOwQXqOxWW3EerpvFQ2wZs0qbowfi09UvCQ+nyZIYcwaEoWloisThOJ2ygVvSAfS49B+nxBUYQiYlw2gXUeNUR+tlCAoeYEmpnzbOS27a+YUruG4cWlUsz2aRNk2t6RiIxdCXyMqYrdIr4mcygCM6EtPUNIy4CHqcN0wrdqvwOZls6riE97IiGGaXKHTY7VUjgEDkjiqLq0QPmVILhGPqHqEz5TPxDEQRGpOZmdSpFD+pSkoxJZI6FRW8KXHaUKFxJyJiRiKKdouhBWlL9kBrFDkAyinaqnwROOoxWIg6QwCGmQE8wjKFwDIIAxZubMTxOOyoSK7I2cixjONUvOZWKQhfyXMo2N2Mw2w5HYuilMuUxsKjKjFL1Jlc5B6d/GPE4icwzSbZKUG9ynVFKEZyJaJOfA2NsTwEkcIgpwG7oqiIP3A51JlcgOcFSeH4szAa1Km2NAFKZclWxJDJbyQZjYNVlajr2Gq8HdpuAcDSOrkEqUz4TtvhRM3owvUT6bF9gBNEYdVY/k7Z+qeGrWtu0uUACh8gZltTHyifVQg4NUw7IGJgN1HYqbGVMCZZjOaXBytVht6X0wiEbnIkWvqiyyA2nXUAsLsrd24kkbYloMgkcggva+tWPHgDADJbcR1tUY9DKBmxlTInGY0ndolKTZDUbPQdnclqD58BmE+TPp22qsZxmERzaoiJ4oE2j6MF02vsel9MahYXrqJvxuGixRSV9PjVcHA/2HKi+2KLt8rTE4yLa/dostrKBBA6RM/L2iOqOnSI443FKqygaTa7jolkER94mpOcglWgsLm8Zqb7YomhyWroGQ4jERNhtAqqK1CnTzwUSOETOyKsmlZs6seQ+WjWNRascHCZiT5NjH0VqDxz1IzjU7C8dHQMhxOJSgzm1euAwmC+iaPJomOCrLvbAYTeOrDDOSAjTocW+N5CcXP3DEQyGoqr+LjMRiqY0mFN5cq3xSsmb7f4R6oWTwmkNeuAwSGSmh/09arx5sKncYC7ZC4dEZirJak51C06yhQQOkRPD4Rh6Ej1R1I4eFLod8uRBK6ck7YkImsdpQ6nKkytrvT4UjiEwTCKTwaKK00vzVOuBw2CRUhKZo9GqmhOgfMDx0CqSnC0kcIicOO1PrlyL8xyq/z724FAOSJJUp6L25JrnsqOswAWA8g9SkQWOBo69yittv4SicWq4mIJWlYRA0s6n+0eo4WIKWkXzs4UEDpETqTe02pMrQMl96dAqwZiR3KYiGzC0rBxxO5Jdvdv91IeFoWX0QG64GKOGi6loKTKzgQQOkRNaVVAxWIUKhYaTMBto1RqdbVOdpslVhgkNrRw724ahPJwkWpWIA9RwcTzaDNgDB9BI4Dz11FNoaGiAx+NBY2Mj3nrrrQmv37lzJxobG+HxeDB79mxs3rx51M+fffZZLF26FKWlpSgtLcVVV12Fd999V82vQJyBFkcEpCI7dppcZeQomspVbIzpNLmOgUVwWHRLbVKTvQmJNg23CYGkLyIbJGnrM14XY0ADgfPqq69i1apVWLt2LQ4cOIClS5fiuuuuQ0tLS9rrT5w4geuvvx5Lly7FgQMH8PDDD+OBBx7Aa6+9Jl/zxhtv4Ktf/Sr++te/Yvfu3aivr0dTUxPa2trU/jpEAq3PHWHRg3aaXGW0DgvXlJANzoQleldrJnBYFI1swNA6/yPpi0jgAMDASASBEanwwHJbVBs2bMDdd9+Ne+65BwsWLMDGjRtRV1eHp59+Ou31mzdvRn19PTZu3IgFCxbgnnvuwV133YUnnnhCvubll1/GypUrceGFF2L+/Pl49tlnEY/H8frrr6v9dYgEWlYuAEANrZrGoHVrdBY9oCiahCiKyS0qjaJocvSAJlcAQGAkgoEQm1wpiqYHzA9585wodKtfcJINqgqccDiM/fv3o6mpadTrTU1N2LVrV9r37N69e8z111xzDfbt24dIJJL2PUNDQ4hEIigrK0v781AohEAgMOofMTXYClIrx86cSkeAqhcAqTW6VkdlMNjvoSRjCf9wBMORGADtIji1ZINRsIVWab4T+S5tJldma1+AbAAYt0QcUFngdHd3IxaLoaqqatTrVVVV8Pl8ad/j8/nSXh+NRtHd3Z32Pd/73vcwffp0XHXVVWl/vn79eni9XvlfXV1dDt+GYMTjoryC1Cp6MK3QDZsAROMiuql6AT3BMMLROARBw+2RhAPz+UlkAsmVa1mBCx6nXZPfKW9RUQQHgD7lyXIkk2wAwLgVVIBGScZnlhGLojhhaXG669O9DgCPP/44/uM//gO/+c1v4PGkd/QPPfQQ/H6//K+1tTXbr0Ck0D0YQjgWh00Aqoq1mVwddpv8uyg0nHQqVUUeODVqjV5VJInMSIxEJqB9gjGQ3IbxBUYQI5GpebEDkBSZPvJDAFIPXTZWF2NAZYFTUVEBu90+JlrT2dk5JkrDqK6uTnu9w+FAeXn5qNefeOIJPProo9i+fTvOP//8ccfhdrtRXFw86h+RO/LkWqzd5AokIxUkcLTPgQJGi0zKw0nehzUabdMCQGWR1IclFhflYzqsjNbFDkBS0HYOjCAai2v2e42KUZv8ASoLHJfLhcbGRuzYsWPU6zt27MCSJUvSvmfx4sVjrt++fTsWLVoEpzPZjv6nP/0pfvjDH2Lbtm1YtGiR8oMnxkXLvhOpUKO5JD4dJlfp91GpOCPZ5E87kZl6WjNVUumT/1Fe6IbDJiAuAp0kMpNC32oCBwDWrFmD5557Di+88AKam5uxevVqtLS0YMWKFQCk7aM77rhDvn7FihU4efIk1qxZg+bmZrzwwgt4/vnn8Z3vfEe+5vHHH8f3v/99vPDCC5g1axZ8Ph98Ph8GBwfV/joEko5dq9wPBoWGk/gC2pYnM2rkVvU0uWpdIs5IluvTc6CHL7LbBNouT6GD+SKN0hWyQfW081tvvRU9PT145JFH0N7ejoULF2Lr1q2YOXMmAKC9vX1UT5yGhgZs3boVq1evxpNPPona2lr87Gc/w0033SRf89RTTyEcDuPmm28e9bt+8IMfYN26dWp/JcsjRw80vqGpPDMJs4HWTiVZSUU20LpEnEGRzCS6CX2vB239w5ZfbImiqJsvygRN6upWrlyJlStXpv3Ziy++OOa1ZcuW4b333hv38z777DOFRkbkgl5ORS7PtLhTAZI2qNLBsQMUwQH0STIGRh/4aGVEUURHQNoi0npyrSaRCQDoH4ogFJXykCqL3TqPZix0FhWRNSwkqVUFFSPZaM7aTgXQLyzM8q6snmSc2uRPrzwoq0+ufUMRhBOTq9a+qJYimQCSCy0tWyVkAwkcImv0CwtLTsXqzf5SJ1fNBQ4dmQFAmlzZyrXKq+3KtYZEJoBkJLe8wAWXQ9upjD13Vo8m+3Ra7GYKCRwiK/QMC09L6cPSEwxr+ruNRH/KylXrsDA7MqNrMISIhUtk2RZdRaEbboe2K1cSmRJ6RZIBiiYzOuSFlvG2pwASOESW9Ok4uTrtNkxLlMhaOTyvZ1i4LN8Fp12AKMLSfVjkBGMdmpulikz2LFoRvSLJqb+TIjj62SATSOAQWcEe6LICl+YrVyDlJF8LOxY9w8I2m4DKomQ3XaviY+XJOtigvCBFZFq4ozTzRXo8BywHp3MgZOlmf3raIBNI4BBZoWdYGEiGhq28cvLpHBauSvzeTgsLnNNyBEf75maCkBSZHRa2gZ79VyoK3XJH6e5B626Xs0WO1pWEmUICh8gKOSSp0+RaTXvfSYGjk1OpogRLA9hAev46rGwDeXtEe19EHaUlKIJDcIXejp0iOKkrV31aozNn1mHhHJzkURn6PAfs+bNyBEfvyZVVs5EvohwcghP036KiHBw9V65AisCxsA06BqTvzraKtEbeorKwyNR7crX64b8jkRj6hiIAjNnFGCCBQ2SJT+dzR6jJmf4rVyas2CRvRToTrRKqdMuDsrbINMLkyo6qsWq5PhOYbocN3jznJFfrAwkcIivkyVXn/I/OQAiiaM1mf3qXZlaxKiqLTq6DoSgGQ1EAQCWJTF0wwuQq+yKLRtFSt2kFQdB5NOkhgUNkRYfOWfOsD04oGkdgOKrLGPRkJBJDf2LlWqNXDo43KTKtCKseK3Q7UOjW5Di/MVTJVVTWtEFqLqBekyvrA2bVPCijdzEGSOAQWWCEsLDHaUdJvrRis+LqlTlTj9OG4jydJteE7QdCUQRD1hOZTFToebggE5lW3aIywuRq9QiO3jlQmUACh8gYtmLXe8+1ysI9QJI9cPRbuaZGLqxog86EsK7SKcEYIJGpZw8cRnK73HrPAADdzsPLBhI4RMawxF49w8JAcuVsxS0SI6xcgdTwvPVskKwk1C+CU+h2oMAldRK3YgTB50+ch6dj9KAysV0eDMfknCwrQREcgisMM7nKJbLWWznp3YeIwVZtVozgMFGnV6I9o8rCPaH0blcBAAVuB4osHMn0UQSH4AkjhIWB1KMCLLhyNciqqcrSAkf/LarU399pRaFvkCMCplk40dgoQn8iSOAQGWOEsDBAkytgBJGZiB5Y2AZ6RzKrLDy56t0LiiGLTIsttuJx0TC+aCJI4BAZQ45df4wSFrZyFK1D5yZ/jOQWlbVsEI+LctRK/8WWNX1RdzCEaFyEICRbdxgREjhExujdxZhRKUdwrOXYAf0bLTKqLRrBEUXROELforlovUNhRGLS5Fqp8+RaZVFf1JEQ1dMK3XDajSsjjDsywnAkE1yN4VQ6B0Ys1c1YWrlKjkXv3INKi24TBoajCEXjAPRfuVbLDRetZQPmh8oL9J9c5efAYiLTKLmAk0ECh8iI1LCw3ivXaYXSxBKJiXLjQSvQOxSWw8IVhUaZXK11ZAabyErynfA47bqOhW2PWC2KlixP1n9rhNmgy2oRnIQN9DpsNlNI4BAZ0ZcICwP639Quhw3lBS4A1oogdCWiN2X5Lt1XrkxkhmNxS4lMo1RQASntEiwmMo2yVQ6kbFFZLILDfJGe3bwzgQQOkRFdg4nJtcAFl0P/24ZtD1ipyRlzKnpvjQCSyKwolESmlfqwGOGYBgYbQzgal88nswLJ58AAAielq7qVRCabD6bpHEmeDP1nKsIUyE7FIDe0FUvFOw0kcABrNlw0Umms22FHGYtkWsgGRhL6TGSOROIIjFinm7GRbDARJHCIjDDaDZ0sUybHrhfVFjzwsdMgFVQMVkVkpSoeIz0HHqcdxR6pmzH5IuNBAofICKPd0FYszzSeDaw3uRqlBw7DiiLTaNsj5IuMCwkcIiPY9ojefScYVixTNqpjt1IVD9sKqjRIBCc1B8QqGG1ytdp2uSiKhvNF40ECh8gIwzkVFpq3VJKx5EANYwPWj8gijh1Idm42yhYVa/holRwcURSTFTwGeQ5YHo5VCh4CI1GEDdILajJI4BAZYTiBY8HJ1Wg2qLRYJVvq+TtG2aKSe+FY5LiGgVCy0aLevaAYVovgMD9U5HHo3gtqMkjgEBlhtJBksptxCPG4NcozDbdyTWyPdFlE4Bip0SIjaQOLTa5uB/Jcxphcq2Shby0bGGWhNREkcIiMMNpNXVHogiAAsbiInmBY7+GozkgkJpehTis0xvYIuxe6B60hMtkK3QhHBDCY2LWKyGRbhNMMEkEDrJdkbLTF7kQY4yklDE0oGoN/WGokZhSB47DbUF5gnZN8uxNOxWW3oTjPofNoJMoTIjMaF9E3xL/I7DRYBRWQfB67Bq3RzdiIk2ulxU4UZ2kBRkm0nwgSOMSkdA9Kk5fTLsCb59R5NEnkc2AssHpNjaAJgqDzaCScdhvK8qVGc1bIw2FbEEbZIgSSW2WRmGiJbsZGiyQDyW1Cq5zLZkSROR4kcIhJSe1ibJTJFbBWch+zQYWBHDuQEkGwgMBJ5kAZZ+XqcthQmi8tOqwgMg0pcNiRGTFrHJlhRBuMBwkcYlKMekNbqdGcUVdNVjoTzKjPgZWSvY1oA7fDLotMK5TrG9EG40ECh5gUo97Q0yx0FpJRbSCH561gg0Fj2mCahap4jCr0U7epeMeovigdJHCISTHqDW2lChKj2sCKW1RGswE9B/pTaaF8wG6Disx0kMAhJqVrMNFB12A3tJUmV6MdlcGwUrM/o06utE2oP8w3sggTr0Rjcbkth9FskA5NBM5TTz2FhoYGeDweNDY24q233prw+p07d6KxsREejwezZ8/G5s2bR/388OHDuOmmmzBr1iwIgoCNGzeqOHrCsE7FQgKHbKA/cqI3CX1diMVF9AbpOdCT3mAYogjYBKCswKX3cCZFdYHz6quvYtWqVVi7di0OHDiApUuX4rrrrkNLS0va60+cOIHrr78eS5cuxYEDB/Dwww/jgQcewGuvvSZfMzQ0hNmzZ+MnP/kJqqur1f4Klsewk2vKqon38kyj2sAq2yND4SiC4RgA49nAKjk4PcEQ4onJlfXAMgpWETgsSlhe6IbdZpyK2vFQXeBs2LABd999N+655x4sWLAAGzduRF1dHZ5++um012/evBn19fXYuHEjFixYgHvuuQd33XUXnnjiCfmaz33uc/jpT3+K2267DW63sW50HjF6cmU4Gpe7/PKIkU/vtYpj7x6QwvJ5TjsKDHJEAMMqVVTs+5UVGG9ytYrINKofGg9VBU44HMb+/fvR1NQ06vWmpibs2rUr7Xt279495vprrrkG+/btQySSW4+BUCiEQCAw6h+RGamn9xrliACGx2lHkUfq6suzczfy6b2sm+lgKIqhML8iU85DM1CjRYZVcnCMGsUErCP0jWyDdKgqcLq7uxGLxVBVVTXq9aqqKvh8vrTv8fl8aa+PRqPo7u7OaRzr16+H1+uV/9XV1eX0OVZkMBTFSMSYkytgjZWTkU/vLXDZkZcYE8/O3ciOnVXwDIxEMRKJ6Twa9TC0DUjgGBJNkozPXPGIojjhKijd9elez5SHHnoIfr9f/tfa2prT51gRI57em4oVHIuRnYogCPIEy3MEIbWbt9EocjvgdkiunOvnwMDbIyy6HbCIyDRaNed4qCpwKioqYLfbx0RrOjs7x0RpGNXV1WmvdzgcKC8vz2kcbrcbxcXFo/4RmdFp4MkVSDb7I8euH3KyN882MPBzIAiCJbapjGyD4jwHXIkT5rs5LhU3sg3SoarAcblcaGxsxI4dO0a9vmPHDixZsiTtexYvXjzm+u3bt2PRokVwOo1z0KNVMOoZSAwr9J8wulORIzgcnwlm1ER7RjKSybENDPwcpIpMEvrGQfUtqjVr1uC5557DCy+8gObmZqxevRotLS1YsWIFAGn76I477pCvX7FiBU6ePIk1a9agubkZL7zwAp5//nl85zvfka8Jh8M4ePAgDh48iHA4jLa2Nhw8eBDHjh1T++tYDqPf0ORU9Cd5XAPZQC/oOdAfS0TRDB5NPhOH2r/g1ltvRU9PDx555BG0t7dj4cKF2Lp1K2bOnAkAaG9vH9UTp6GhAVu3bsXq1avx5JNPora2Fj/72c9w0003ydecPn0aF110kfz/J554Ak888QSWLVuGN954Q+2vZCmMfkOTY9cfS9nAoM+BJUQm+SLdMbovOhPVBQ4ArFy5EitXrkz7sxdffHHMa8uWLcN777037ufNmjWL+8ZuRsHoN7QlnIpJHDvXk6vRt2qt8BwkDrJkW6JGg3cbDIWjGAxJrSCMOh+cCZ1FRUyI0QUOVVHpD++OXRRFdA8a+/wd3s8EGw7HMGDwyZX3fEDW7NLjtKHQrUlsZMqQwCEmxCyTa+9QGJFYXOfRqANLHGXbEEaD98k1MBxFOHFvVRQa8/wd3kUmq0xyO2woMujkyrsNjNzscjxI4BATYvTtkdJ8F+w2AaIoHQTHG2Y4vVcWmcEQYnH+to6ZY/fmOeF2GK8XFJCag8NnFVVquwqjTq7cCxyD56GlgwQOMS6xuIieQWM3drLbBJQnTrXl0bGY4fTe8gI3bAIQFyHfLzxh9F5QQHJs3YNhxHkUmSawAe/b5WawwZmQwCHGpTcYRlwEBANPrgDfKycznN5rtwkoL+R3m8oMK9fyQhcEQVqU9A7xF8k0eiQZGO2HeCyCIYFDcAW7ocsLXHDYjXur8CxwzODYAb5Xr2Zw7E67DWX5/EYyzWCDisQzGo7FERjm7+DZpC8yZi5gOow7axG6w27oCoNPrjxXL5jBsQN8H3pq9C7GDJ7L9c3wHHicdhR7pARolrfFE50GL9NPBwkcYlzM4FQAvo8KMI0NKIKjO1xHMk1mAy5FpkmiyamQwCHGxTROhSI4usO1YzdBDg5gkSiawW1QyfHhv2bxRamQwCHGxSw3NM8nipNj1x+jdzFm8GyDbtP4Ij6jaPG4KPciMroNUiGBQ4yLWSZXXp0KYCaRyW8Ep9tkzwFvNhBF0XTPAW++yD8cQSQmVYaVG7TZZTpI4BDjwjroklPRD7OsXCs53R6JxUW5gaRZbMDbczC6k7SxbcCrL2KL3ZJ84za7TAcJHGJc2ENq1CMCGMypBMMxBEN8lWeabeXaPRDmqgdITzCEuMEbLTL4nVwl0VzsccDjNPbkyms+oFny0M6EBA4xLmbo4AoAhW4H8l2S4+vmyLGY4YBBBltZD0diCIZjOo9GOeReUAZutMjgNYJjFj8EcCwyTWSDVEjgEGkZicQwMGKOyRXgM/+AiTWP07gHDDIK3A4UJEQmT87dTCtX9gwMhqIYCvMTyTTT5MpaVvD0DADmskEqJHCItLAb2uWwyc2rjIwcGubIsXQOmOv0Xh5Xr2Zy7IVuBzxOyaV3D/BzXEPSBsbeKgeSfqgnGEYkkTfEA2YpODkTEjhEWlJvaJpc9cFM0QOAzzJls3QxBgBBEJLPAUeddLsMfuBvKqX5Lnkrs2eQR5FpfBukQgKHSIvZbmiuBY7pbMDR5Go2G3AYyTSTDWw2ARWF/J0JJhecmOiYBoAEDjEOZnIqADl2I5CMHnBoA5NE0bgW+mazAUdRNHm73EQHbQIkcIhxoMlVf8x2ei/Pk6vRuxgzeLaBWXwRl1u1JrMBgwQOkRazJZXxWL1gNqfC7hWeKtnM9hwwMcyV0DfrcxDgwwbhaBx9QxEA5rEBgwQOkRbzORXJsfPUSdd0NqDoge7wZoNILI7eIXN0kmbwFk3uCUrfw2ETUJLn1Hk02UECh0iLWR1792AY8TgfnXTNagNeJlez9YIC+LNBbzAMUQTsNgGl+cbuJM3gzQbyNm2hGzaDN7s8ExI4RFrMNrmyA+BicRF9Q+YvzxRF0VQlykBynD3BMGIciEzWaNEsvaAA/roZy52kC1yG7yTN4FXgmMUPpUIChxjDqMnVJLkHTrtNPiuIhxyQ1NN7K0xyem9ZgQuCwI/ITK3eMUMvKGD09ggPZ4KZcXLlrau6GW3AIIFDjCEwEkU4KnXhNNNNzcQYD+dRMafizTPP6b1Ouw1l+fz0ADGjY2eRzEhMRH8iMdTMmNEGPPkhwHxl+qmQwCHGwG7oIhOc3psKT6FhMzp2gDMbmGyLEADcDjtK8qVEUB6SXM0WSQaS98tQOIZgyPxngpnxOWCQwCHGQJOr/pipPX0qXNnArM8BR00vzWiDArcD+RwdPGtGGzBI4BBjMOOqCaDJ1QjIkysP0YOU6hEzQc+B/vBUKm5WGwAkcIg0JM8dMUcHXQZPk2unSfe9aXLVH7KB/nAVRTNpNBkggUOkwaxJZcleOBw4FbM6dp4mV7NGMjkS+qa1ASfPgSiKckdms/kigAQOkQb5YDWT3dC8OBWABI4RIBvoj9ltYPbFVjAcw3AkBsB8W7UACRwiDWZ1KhU8hYVNagNeogeiKCa3as1mA04EzlA4isGQuTpJM3jZomLjL3DZUeA2R7PLVEjgEGMw7eSaGG/fUETu42NWzFqaycvkOhiKIpS4h8y2cuXFBt0DUrNIj9OGQpNNrrzYwKxzAYMEDjGGbpPue5fkOeFItHNnB8SZkUgsjt5g4oBBk9mAOUL/cAShaEzn0eSO3AvK7UCeyzy9oAB+Kni6BqWt8soij2k6STO4sQEJHIInorE4eoLmOr2XYbMJXGxT9QxKf38zHTDI8OY54bJLbqV70LzHNZjZsVcWSdWPvcGwqSOZZrYBD34IALpMmo/JIIFDjIKd3msTIJ/tZCZ4CA0n+6+4THd6ryAIfNggsfKuMKFj5yWSadZWCcDoJOO4iQ+eNWsVG4MEDjEK5lTKC92mOb03FT4mV3Ovmip4sIGJowe8RDLNbIPUM8H8w+Y9E8zMNgA0EjhPPfUUGhoa4PF40NjYiLfeemvC63fu3InGxkZ4PB7Mnj0bmzdvHnPNa6+9hnPOOQdutxvnnHMOtmzZotbwLYXZFTsP1Qtm7UPEYONm7QbMiOltQCJTV3g5E8zMNgA0EDivvvoqVq1ahbVr1+LAgQNYunQprrvuOrS0tKS9/sSJE7j++uuxdOlSHDhwAA8//DAeeOABvPbaa/I1u3fvxq233orly5fj/fffx/Lly3HLLbfgnXfeUfvrcI/Zb2gekvu4sQFNrrpBNtAfLhZbJq3mZKgucDZs2IC7774b99xzDxYsWICNGzeirq4OTz/9dNrrN2/ejPr6emzcuBELFizAPffcg7vuugtPPPGEfM3GjRtx9dVX46GHHsL8+fPx0EMP4Qtf+AI2btyo9tfhHtM7FY4cO0sWNRtc2IAimbpjehtw0OwvGck0py9SVeCEw2Hs378fTU1No15vamrCrl270r5n9+7dY66/5pprsG/fPkQikQmvGe8zQ6EQAoHAqH9q4POP4LFtR/CTPx5R5fO1gBeBY2qnYvJVExcCh5PngCKZ+mH25yAWF+VKyMpic9pAVYHT3d2NWCyGqqqqUa9XVVXB5/OlfY/P50t7fTQaRXd394TXjPeZ69evh9frlf/V1dXl+pUmZDAUxdNvfIqX3zmpyudrAS+rJrM6FQCmPvsF4KObMU2u+hKPi8l+XGa1gcmjaH1DYcTiIgSTVtQCGiUZn9mkSRTFCRs3pbv+zNez+cyHHnoIfr9f/tfa2prV+DOFPYgDI1GMRMzZ5Mzsjp2L6hGzO3YOJlez9oJimN0G/uEIIjHJ77OKJLNhdhuwcZflu+C0m7PgWtX+1xUVFbDb7WMiK52dnWMiMIzq6uq01zscDpSXl094zXif6Xa74Xar76iKPQ64HDaEo3F0DYRQV5av+u9Umm6TCxw27mA4hmAoasrzU8xewVOZ4tgnW8wYER5WrmbfomLjLsl3wu0wVydphultYPK5AFA5guNyudDY2IgdO3aMen3Hjh1YsmRJ2vcsXrx4zPXbt2/HokWL4HQ6J7xmvM/UCkEQTB+eN/tNXeCyI88pOUQz5uEEQ1EMhaXon1ltwKJooWgcA4nDEs0Ee3bNvHI1+/aI2UU+YP5ostnnAkCDLao1a9bgueeewwsvvIDm5masXr0aLS0tWLFiBQBp++iOO+6Qr1+xYgVOnjyJNWvWoLm5GS+88AKef/55fOc735GvefDBB7F9+3Y89thjOHLkCB577DH8+c9/xqpVq9T+OpNi5rDkcDgmT0hmO0GZYfZOumzM+SY9vRcA8lx2FCXGbmYbmNmxs7EPJSKZZoMnG5jxGQDMn48JqLxFBQC33norenp68Mgjj6C9vR0LFy7E1q1bMXPmTABAe3v7qJ44DQ0N2Lp1K1avXo0nn3wStbW1+NnPfoabbrpJvmbJkiX49a9/je9///v43//7f2POnDl49dVXcemll6r9dSbFzDc1i3iY8fTeVKYVudHSO2RKG5g9/4YxrciNgVAUXQMhzJlWqPdwsoKHybXA7UCBy45gOIbOgRAaTPY882ADNvbeoTAisbjpooE82ECTu37lypVYuXJl2p+9+OKLY15btmwZ3nvvvQk/8+abb8bNN9+sxPAUxcwCpzPlhjZb3kQqZt4m5CE0D0jHNRzvDpryOUieBWZuG0wrciPYIwn9hooCvYeTFTxED0rzXbDbBMTiInqDYVQVm6uXDA8Cx1yS0gSYe3JNnIFkYqcCmFtk8uBUALKBESAb6IvdJqA8kaRONtAHEjgKQ05Ff8gG+mNqoc9B9ABIfQ7MdyYYN8+BiSupeHgOSOAoDE2u+sOFDUzsVABObGD258DMIpMXG9BzoCskcBTG1De0rNjNtVd8Jsyxm7FMnKckY8CkzwEHjh0wuQ0GzX0eG8Os5fqhaAz+YeloJDPbgASOwqSumlgHZrNAjl1/5IM2TXr2C6PSzDYgkakrkVgcvSbvJM0wqw3YeF12G4rzzFWBlwoJHIVhN3Q4GkdgxFz9J3gROBVFHIhMs0fRTJp7EI7G0T8krVy52SY0mQ16Egc8OmwCSvKcOo9mapjVBqlzgZkrakngKIzHaUeRx5xNzrgROImzayIxUQ6zmgEeDhhksPH3DIYQi5tHZPYEpb+/0y7Aa/bJNSGSzeaHOhNJ0RWFbths5p1cAfNHcCpM7odI4KiAGW9qURS5Cc27HXZ5cjKTDfqGwojGzX3AIKO8wA2bAMTFpGgwA6k9cHiZXLsHw4ibSGTystACkr2Uuk3khwA+KqgAEjiqYMbqhdTTeytMPrkC5hSZ8hlIBeY9A4lhtwkoKzChDThp8gdIIlkQgFhcRN9QWO/hZAxPAseMfgjgxwbm9qIGxYw3NRurN8+8p/emYkaRyUuJOMPMz4HZHTsAOO02lOUnGs3Rc6AL7D4aCEUxnDhE1wzw8hyQwFEBcuz6QzbQH1PbgIPJFUjaoDNgIhtwslUOAEVuB9wOaZo1U9sKXnwRCRwVMKVj52TPlWFKG3DiVBimjKINsuRK82/TAvQc6I0gCKaspOJlPiCBowKmdOwcORWAHLsRMLMNzNzcLBXyRfpj5ufA7DYggaMCdEPrjykdOyerJgY9B/pjShtwtEUFmK+bsSiKKULf3DYggaMCpnQq5Nh1h2ygP52cOHaGGW3Aax6UWWwwEIoiFI0DML8vIoGjAuym6A2ap8lZ8uwXc9/QjGQPEHM4FYBDgWOyKFrqypUbG5hscg2GohhKVBtxZwOTPAfsXinyOOBxmruilgSOCpixyRlvjp31MekJhhGNxXUeTWZwF5o32+QajmE4Ik2uPPTBAcwnMtm9ku+yo8Bt3jOQUjHbc8Aq7njwQyRwVMCMTc54EzhlBS7YBEAUIR/cZ2RC0Zh8BhJvUbSBkShGIsbvAcKegQKaXHWDN5EPmC8Hh6dcQBI4KmEmxxKJxdGb6HTKw00NSCKzPPFdOk1gA3bAIA9nIDGKPQ64Ej1AzPAc8CbygeR38Q9HEIqaR2Ty4oeAlMN/TfAMAHw9ByRwVMJMAqdnMAxRlERBaT4f/T8Ac4XnUx27mU/vTUUQBHPagAPHzvDmOeG0S/dT96DxI5k82iD1GRBF4+dk8mQDEjgqYUbHXlHoMv0Bg6mYSWR2cuRUUjGXDaRTrHnpgQOcITJNYANeypNTYc9AOBrHQCiq82gmhwQOMSlmcuxdg5Jj5+GGTsVUNuDIqaRCNtCfacWSYCMb6IPHaUeRR8rpMoUNKAeHmAxTOnYObuhUzGgDXqp3GGa0AU+TK5B8rlmEysjwmGQM0HOgFyRwVIJuaP0x1TbhINse4csG7PuYwwYk9PWGe19kChvwE9EngaMSpppcKXqgOzz1nkjFTKdZczu5muk5SEyu5Iv0IRqLoyfRVoOHXDQSOCphlhsa4K89PcNM3YyToXnzO5VUzCj0SeDoQzwuypVePEyuqZilm3FvUKqotQlSLzGzQwJHJczU5EyuXCjm1KkY3LED/Edwug1ug1hclIUwd0LfJCKzdyiMWFyEIADlheafXFMxiy/qTInm2zmoqCWBoxJmanLGa4kyC3MbXWSKosjdWWCMVMdu5B4gvcEw4iIgcLJyTcUskysbX1m+C047X1OTWXJweIti8nUXGQizNDlLPWCQt8nVLCIzMBxFmJPTe8+EicxwLI7AsHF7gLD7o7zABQdnk2ulSUQmrwstwDzdjJO9oPiwAV9PssEww8ppMBSVDxjkzbGYRWSyCqpiDk7vPROP045i1gNk0Lhlyuz+4C25FUh+p5DBG83xFj1IxQx+CODPBiRwVMQMAoeNrdDtQL6LjwMGUzGDDXjNv2HIlVQGtgFvjj2VPJcdRW7jN5rjsZM0g0VEeoNSnpFRSRac8GEDEjgqYorJldPtKYYZbJDMv+HDqZyJGWzA8+QKmMMGPIvMsgIXBEFKZu8bMu6ZYLzZgASOipghLCn3wOHkhj4TMzh2/iM4xj8qgDfHfiZmyAHhebHlsNtQnkheJxtoBwkcFTFDiSxvN/SZmEJkclpBxTCFDTgXOJVm2CbkXOhXmKCSirfngASOipihuRNvN/SZmCOCw09r9HSYwQb0HOgP90Lf4DYQRZG7rVoSOCpi9BsaoNwDIyA79mJy7HrB6zlUDDPYgAl93hqOMoy+4B0MRTES4atdBQkcFUlt7mTU/hO0ctUfOQenkHPHbmAbcP8cGHybMBiKIhjms10Fw+jPAdu+LHI7kOfio10FCRwVYTe0kftP8Nrkj8Ece/eggUUm7xGcFBsYkZFIDAMj0vPJrQ0MPrmyceW77Ch089euAjB+N2MeRT4JHBXxOO0o8hi7/wTP3UMB44vMUDSG/qEIAP63R3qCYURjcZ1HMxb2bLodNrlfDG8YXuAM8u2HABPYgMO5QFWB09fXh+XLl8Pr9cLr9WL58uXo7++f8D2iKGLdunWora1FXl4errzyShw+fHjUNc888wyuvPJKFBcXQxCEST9TT4x8U0dicfQG2em9/NzUqXicxm5yxk5PdtoFlOQ7dR6NOpQVuGATAFGEfL8ZiVSRLwjmP2AwHcwP9QZDhmw0x7ZpefVDgPG3CXlc7KoqcG6//XYcPHgQ27Ztw7Zt23Dw4EEsX758wvc8/vjj2LBhAzZt2oS9e/eiuroaV199NQYGBuRrhoaGcO211+Lhhx9Wc/iKYOSwJNsycNgElObzdcBgKkYWmXIFVSG/k6vdJqC80LhlyjyuXM+kvMANmwDERaAnaEQb8F1JCKS0DTGowOHxOVAtHtvc3Ixt27Zhz549uPTSSwEAzz77LBYvXoyjR4/i7LPPHvMeURSxceNGrF27FjfeeCMA4Be/+AWqqqrwyiuv4L777gMArFq1CgDwxhtvqDV8xTDy5Co3+St0w2bjc3IFpCZnx7uDhrbBNE4rRxiVRW50DYQMuXrlvYIKkERmWYEb3YMhdA2EDFc1ydsRAelgc0H/UAShaAxuh7ESeXmsqFUtgrN79254vV5Z3ADAZZddBq/Xi127dqV9z4kTJ+Dz+dDU1CS/5na7sWzZsnHfkwmhUAiBQGDUP60wcmmgHBbmNLGSYWSRKYeFOZ5cgRQbBIxngy7O+xAxjPwc8Bg9OBNvnhNOu7SQ7Bk03lYtjzZQTeD4fD5UVlaOeb2yshI+n2/c9wBAVVXVqNerqqrGfU8mrF+/Xs4D8nq9qKury/mzssXQTsUCK1fA2HvfchUb7yLTyDbg/CwwhpF9EY/5H2ciCIKhUxZ4rKjNWuCsW7cOgiBM+G/fvn0AkDanQBTFSXMNzvx5Ju+ZiIceegh+v1/+19ramvNnZYuRb2iK4OiP5SI4BrQBjyvXdBhaZHI4uaaDngNtyToH5/7778dtt9024TWzZs3CoUOH0NHRMeZnXV1dYyI0jOrqagBSJKempkZ+vbOzc9z3ZILb7YbbrY/RDH1DDyYTXHnG0DawSgTHBDbgybGng91jnQbcJrRCBAcwbspCJBZHD4cVtVkLnIqKClRUVEx63eLFi+H3+/Huu+/ikksuAQC888478Pv9WLJkSdr3NDQ0oLq6Gjt27MBFF10EAAiHw9i5cycee+yxbIdqCIx6QwMpHXQ5T3A19uRKIlNvrCJwjBrBicVF9AZpm1BPWE4QbxW1quXgLFiwANdeey3uvfde7NmzB3v27MG9996LL37xi6MqqObPn48tW7YAkLamVq1ahUcffRRbtmzBhx9+iDvvvBP5+fm4/fbb5ff4fD4cPHgQx44dAwB88MEHOHjwIHp7e9X6OjkjNzkbNF7/CcrB0Z9kBIdzx25QG4iiaIkmc4CRJ9cQ4iJgE6SeSTxj1JQFVkHFW0Wtqm07X375ZTzwwANyVdSXv/xlbNq0adQ1R48ehd/vl///3e9+F8PDw1i5ciX6+vpw6aWXYvv27SgqKpKv2bx5M/7lX/5F/v8VV1wBAPj5z3+OO++8U8VvlD2p/Sd6g2FDOVGr5eD0BsOIxUXYDfIA0+SqP/1DEURi0sKjopDzyZX1YTGYDdj2VEWh2zDPploY9TngNYqpqsApKyvDSy+9NOE1Z54PJAgC1q1bh3Xr1o37nsl+biTO7D9hlBsodXLlac81HWUFLgiCFArvGwqjwiARKytOroOhKIbCUeS7jHEkAnsGvHlOw/UlURqaXPXHqCkLnZwmedNZVBpgxJs6MBxFOCqdC2SUCV8tnHYbyhL7ykZy7syplOTzP7kWuh3wOCV30z1gnB4gLIpZxXkUE0j6oYFQFMOJk7uNQLLBHP82qDDowbO8ikwSOBrAHtyOREMxI8AqqLx5TnicfE+ugDFXr1YpjQUSPUBkoW+c54A9k1Wc50ABQJHbAbcjITINNMHyOrmmw4h+CODXF5HA0QC2OjTSTS1XUHF2Q48H+55GOgup0wLn76RixATLDg7b049Hqsg01nNgjQoqIPmsD4VjGAxFdR5NEl59EQkcDWAPrrEiOHwq9vFIOnYD2cAiTf4YRly9WiXRnmFEG1gpgpPvcqDILeWfdRppPpBtwJfIJIGjASyCYySBY7UIDtuCMFKTs06LlIgzjDi5yltUFnkOjFiuz2uC63hUyvOB8WzA23xAAkcD2ARmpBvaahGc6mIDRtGsFsEplGxgpMnVSjk4gDFFplW6eTPkxZZBosmiKFIODpE7yeiBMW5oIDkW3hT7eBgxisbGYhXHbsTJtSNAUTQ9EUUxmf9RaA0bVBlssRUYjiKUqKjlbT4ggaMBbHLtHAghbpBuxlZK7AOMGUVjNqDogT6krlytUCYOJJ/3LoNEDwZCUYxE+Jxcx8NoW1Qs0b40n7+KWhI4GlBR6IYgANG4iN4hY/QAsVr0IDUsfGZzST0QRVG2QTUJHF3oH4ogHLPW5Go0G7BIcrHHgTwXX5PreFQlRKbPIBEcn5/fbVoSOBrgtNtQXmCsLRK2erDM5JrIc4nERPQNRXQejbRyHUo0W7OKyExteGkEkclWrmUFLu4bLTKMJnB8/oQf8lrDDwHGS1lILnb5swEJHI2Qt6kMEJYcDEXlHgw8qvZ0uBw2lCcO8mMrFj1hzq3I4zDMsQVqw46jiMRE9BtAZMr5NxaJ3gAGFJkWS/IGUvMB9Z8LgORWeTWHCy0SOBphpMQyNoYitwMFbmtMrkBKHo4B8g/klauFHLvbYUdJvhOAMSqpeF65jkeqyPQP6y8yfZYUOMm5wAgik7aoiCljJNVutfwbRrUcRdNf4Fhx5QoYq5txp8V64ACSyPTmJUSmkWxgIV/EomihaByBYf27GfMs9EngaITczdgA0QM5udVC+95A6spJf8fO7gPLCRwDdZTuCFirio1hpDwcn8US7QHA40xGMg01H3BoAxI4GmGkxDLZsVukRJxRaaRtQr/1Vq5A8jlgW3R60mHB6AGQjKIZ4Twqq/UhYhip8WhS6PP3HJDA0QgjbVHJe66Wi+AYxwZWjR6wqKERHLvVjspgGKnppVW3ao3SlysWF+V8OB5tQAJHI4yUZMy2B6yUewAkI1aG2B6x6BZVtRzB0d8GnRadXNnCRu8+LLG4mFLBYzEbFBlDZPYMhhCLi7AJUr823iCBoxEsobd7MIRoormYXrDJxbo5OPpPrpbfotLZBvGUydVqNjDK9khPMHVydek6Fq0xii/qSDl02W4TdB2LGpDA0YjyAukGiotAT1DfbsZW3fdmE1nXgORY9SJ1crWayDTKFlXvUBjRuAiB05XrRDCB065zFK0jkYdVUeiGw26tqcgo24S8bxFa667SEbtNkJP79LyppcmV36z5iSgvTIrMbh37sPQEaXLt1FlksmewvMAFp8UmV1lk6i1wOJ9cJ8IoOTi89yGy1pOtM0ZIcu0bCiMSkyZXq5y/wzCKyExOrm7LTa4VhS7YBCn/okdHkdkpdzHm07FPBBM4eh/+y/vkOhFGqarlvQ+RtbyrzhihTNln4ckVMIbIlCNoXj6dykQ47DZZWOuZh2PVEnFAKhO3JQ7/7Q7qKTKtawP56B6jiExOhb71ZjgdqTJAJ91OjnseZIIhRKbfmn2IGEbIAbFqmT4giUy2NapnNZsVm/wxKgrdEBIis3dIv5xM+TngNBeQBI6GsAlNz+iBlZ0KYAyRKUcPOHUqk2GEChJWpm+1RHsG26bSU+BYWWQ67TaUFxhnu5xXG5DA0RDZsevYh4Xnc0cywQgiM9mHyJo2MMLkavVIphFKxUnos8WWfr6I52MaABI4msJ64ei7auL7hp4MI4hMn0V74DCM0AuHRKb+NrByHhSgv8gMRWPoG5JOlOfVBiRwNKQqpURWL3g+dyQTKg2QZMz7vvdk6O3YgaTIrLToc6D3mWAjkeTkatXFlt6l4ixy5HLY5BPmeYMEjoYwp9IbDCMUjekyBqueQ8UwQnkmRQ/03aKKxOLy+TtWa7TIkI/MCAzr8vutMLlOBltk6hVFS43mCwJ/XYwBEjiaUprvhCtRmq3XvqvlJ9eEY+/RSWSGo3F0D0pVE1aNoiW7Gev1DIQgioDTLqCiwJo2qNFZZHYM8D+5Tobeiy0rRPNJ4GiIIAiyc9ejRJYmV6Ak3wmXQz+RySIHTruAsgJrnb/DYCJzMBTFYCiq+e/3+aWoRVWxBzYOz9/JhCqdRabV89AA/SM4PgsUnJDA0ZgaWeBoHxqmyTUhMnVMcpVzP4qsu3ItcDtQ5HYA0CeCcLpf+p01Ft2eAkaLzIGRiOa/n/fy5Eyo8eYB0K8fVKcFCk5I4GhMjY4RHJpcJZgNTvdrLzJlp2LhyRVIjSDo9xxUJyYYK5IqMvWwAQmcpB/qDYYxEtF+u9wKVWwkcDSmpkRyqnqsXGlylagt0W/l1E6heQApSa462qDW4s9BMtlb+20qtjXGc/RgMrx5TuQ57QD0fQ54FpkkcDRGz+iBzwKKPRP0rOJhW5M1Fo4eAPr2wmGVQ1YX+nr2wknmf1jXFwmCgJqSxHygQ8qCLPRL+PVFJHA0hk1sejgVdkNbfXKt1VFknpZtYPXJVb829ZSDI6HnkRlM6PM8uWaCXtVs8bgo/06enwMSOBqTjOBo71Ta+ln0gN8bOhP0TO5rT9hgusUdu55bVD4S+gD0s4FVJtdM0MsX9QTDCMfiEATaoiIUhD3Q3YMhhKNxTX83Ta4Sepbqy1E0i9tAr+hBNBaXe0FZfXKt0uk56B4MIRITuZ9cM0GvaDL7fZVFbjjt/MoAfr+ZQSkrcMl9WLR27jS5SrCwePdgSNNmf9FYXLY5Jbjqk//RORBCXAQcNgHlhdbN/wCAGp1EJtumrSrycD25ZkK1ThEcq+QCWvvu0gFBEHQpFafJNUlpvhNuJjI1rCBhk6vTLqDC4pMr2x7pGgghGtMukplaOWK3aJM/hl4ik0WSWYKtlWF/A60FDkuRqOXcBqoKnL6+PixfvhxerxderxfLly9Hf3//hO8RRRHr1q1DbW0t8vLycOWVV+Lw4cPyz3t7e/Htb38bZ599NvLz81FfX48HHngAfr9fza+iKMy5a9nsr4MmV5nRIlM7G7RTB12ZikI3nHYBcVHbw2cp9yMJ2x6Stoy0E5ksF7CW8+hBJtTKERxtt6gogqMAt99+Ow4ePIht27Zh27ZtOHjwIJYvXz7hex5//HFs2LABmzZtwt69e1FdXY2rr74aAwMDAIDTp0/j9OnTeOKJJ/DBBx/gxRdfxLZt23D33Xer+VUURY8+LGzVVO2lyRXQJ7lPXjVx7lQywWZLHluiZf4Bc+xWLxEHgPICF5x2AaKo7TZVsjyZbMDuw/6hCIbD2m2XW6Wa06HWBzc3N2Pbtm3Ys2cPLr30UgDAs88+i8WLF+Po0aM4++yzx7xHFEVs3LgRa9euxY033ggA+MUvfoGqqiq88soruO+++7Bw4UK89tpr8nvmzJmDH//4x/j617+OaDQKh0O1r6QYcpKrho49WUFFkysAXfpPyKsmcuwAJKHX2juMtv5hLNLod1qh90em2GwCarx5aOkdwun+Ecwozdfk91olepAJxR4HClx2BMMxtPuHMXtaoSa/l809vD8HqkVwdu/eDa/XK4sbALjsssvg9Xqxa9eutO85ceIEfD4fmpqa5NfcbjeWLVs27nsAwO/3o7i4eFxxEwqFEAgERv3Tk1odcnCoe+to9Og/key/wrdTyZTppdLfoU1DoS8f02Dx6h0Gq6jUMopmlfyPTJCa/ekQ0bdIBEc1gePz+VBZWTnm9crKSvh8vnHfAwBVVVWjXq+qqhr3PT09PfjhD3+I++67b9yxrF+/Xs4D8nq9qKury/RrqIIemfNWUeyZwkSGlv2ITss24NupZIoek2syekA2AJL+QEuReZp80Si07m6fWnDCe8uQrAXOunXrIAjChP/27dsHAGkPdBRFcdKDHs/8+XjvCQQCuOGGG3DOOefgBz/4wbif99BDD8Hv98v/WltbM/mqqqFHFVUbix5wfkNnSq1cvaDl5EoRnFRqS7QXmcwGlIMjMT3xHGglcMLROLoGpaRyeg4ktJ4PrFRwknXCyv3334/bbrttwmtmzZqFQ4cOoaOjY8zPurq6xkRoGNXV1QCkSE5NTY38emdn55j3DAwM4Nprr0VhYSG2bNkCp9M57njcbjfcbuMYMrXZXygag9thV/13yq3RybEDSDkyQ9OwMEUPUqnVOIIjNfkLjfrdVodtE2plg47ACEQRcNltKC9wafI7jY7WBQ8smm+Fas6sBU5FRQUqKiomvW7x4sXw+/149913cckllwAA3nnnHfj9fixZsiTtexoaGlBdXY0dO3bgoosuAgCEw2Hs3LkTjz32mHxdIBDANddcA7fbjd/97nfweMw1YbBmf+FoHJ2BEOrK1E/uo+TK0TCR0RMMYyQSg8eprsgMRWPoHgwD4D8snCly9KBPm8m1ezCMWFyE3cb/yjVT5C0qjWxwmqo5x6B1y4rTcj4m/35ItRycBQsW4Nprr8W9996LPXv2YM+ePbj33nvxxS9+cVQF1fz587FlyxYA0tbUqlWr8Oijj2LLli348MMPceeddyI/Px+33347ACly09TUhGAwiOeffx6BQAA+nw8+nw+xmHZldlNB62Z/w+EYeoPS5GqFmzoTvHlO5CVEjRZRHPY7PE4bSvLHjzZaCTa5DoSiCIxEVP99bf1DAKQEY6s3+WOk5kGJoqj676MS8bHIScYabdVaqdGiqjXVL7/8Mh544AG5KurLX/4yNm3aNOqao0ePjmrS993vfhfDw8NYuXIl+vr6cOmll2L79u0oKioCAOzfvx/vvPMOAGDu3LmjPuvEiROYNWuWit9IOWq8HpzsGUo43TJVfxdbGeS77CjOM34ZvRZI1QseHO8Kot0/glkVBar+vtQeOJPloFmFfJcDpflO9A1FcLp/GMXV6gq/U4koBduWIZIiMxiOwT8cQUm+uttGp+WtcrIBo1bjCI6VcgFVne3Kysrw0ksvTXjNmasGQRCwbt06rFu3Lu31V155pSYrDbWRek70ahIaTt2eosk1SY1XEjha5B9QD5z01JbkyQJnfnWxqr+LJdLOoC1CGY/TjopCF7oHw2jrH1Zf4FgoepApLIITGIliMBRFoVvdRaiVqjnpLCqdmK5heWayyR//N3Q2zCiRcp+0sIGVVk3ZkCxTVj88zyI4MyiCMwotq9na+ykX8EwK3Q5486TopZYLXiv4IhI4OsGc7Cktbmg6IiAtSRsMqf675FUTicxRaNkLp422qNLC/EKbFs+BhRJcs0EPX2SFBS8JHJ1gbdE1ETi0PZKWGWXaicw2am6WlloNK6mYDaaXaHMkgVmQS8U1SLYnX5QerRa8I5EYeoLWqeYkgaMTM1La1Mfj6uYU0eSaHi1FZmuvtDLToiWAmWBiQ+0IjiiK8uqYtqhGo1WpeDAURf9QZNTvJCSSvkjdCA77/EK3wxLVnCRwdKLa64FNkDp7dic6e6qFPLlqdJieWUjdHompKDKlyZXyP9LBIjhqC5zeYBgjkTgAih6ciVb5gK2JydWb50Sxh//JNRu0iuC0pvghKxSckMDRCafdJid5nVLRscTiouy46spock2lqtgDh01ANC7KZ7OoQfdgGKFoHDbBGol92cAmV19gBNFYXLXfwyaOyiK3Jp3DzYRWAudUL4n88dAqmnyql0UxrbHYJYGjI8yxqHlTdw6MIBKTurfSCcqjsdsETQ4bZCvX6mIPXA565FKpKHTDaRcQF6UzctRCLhGnyXUMLAena0A6OkYt2HNAkeSxaJVkzOYaqyx2ydvqiBY3dWtvsueBw07mPhMtbCBvT1H+zRhsNkGOaqmZA5KsoCIbnElpvhMep+Qb1OzqzXyRVSbXbGAis28ogmAoqtrvae2jCA6hEeymVtOxU/7NxMgCp1d9G1D0ID3aiEzps61QOZItgiBokmgsR3BI6I+h2ONM9sJRMZosR3As4otI4OiIFollFBaeGC32vpMJxmSDdNQnJryWXvUEDm1RTYwWzwEttiYmmbKgZkSfIjiERmhRGkhh4YmRnUq/+tEDq6yasqVOA4FD51BNTH3CP6hlA1EU5egQicz0qL3gHQxF0Zco059hkfmABI6OpFYvqHW+1imL7blmixZRNIrgTAyL4LRqMbnSFlVamA1OqmQD/3AEA4ncEnoO0qN2FO2UBcv0SeDoSE2JB4IAjETicndJpbFa1ny2sMRftXrhxOPJyZVskB61t6j6hpKTK+V/pEdtG7BIckWhG3kuKtNPh9q5aKcsGM0ngaMjbocdNYnSbTUcSyQWl1uj0753eqqK3HDYBERi6vTC6RwIIRyLU5n+BLDJtSMQwkhE+TLlkz1BAEBVsRseJ02u6agvKwCgXhQtmWBsnck1W5jAaVWp4EGuoLLQUSUkcHSmvjwRGk44YSU53T+MuAi4HTZMK3Ir/vk84LDb5AoSNZw7cypUpj8+JflOFLkdANRZvbLFw8zyAsU/mxeYH+oNhjEwElH88ynBeHKYDdSKolkxmk8eV2dmJZzuZ90qTK4pnUOt0JY7V2bKIlN5G5yy4KopWwRBUDXRmNl1Jm1PjUuh24HyAhcAdWxAR5VMDotk+ocj6B9SPmXBahVUAAkc3VFTtVOCcWbIIlOFKBqbXMmxT4yc5KqCyJQFTjk9BxMhi0wVbEA9cCYn3+VAVbEUaVfjOWjptd42IQkcnVFzcrXiDZ0LakZw2GfOqqDtkYmYqaLQb+mVnq162qKaEHVtQFtUmTBTpflAFMWkL7LQc0ACR2fqVVw1neiWHhIr3dC5oKbIZDZoIIEzIXUqloonHTtNrhOhVql4NBaX7TqrgmwwETNVimR2DoQwHInBJlgrok8CR2fYqqlHheQ+NrnOnkaT60Qwp3uyZ0jxfkRMNJHInBi1ypSHwlF0Jg7xnFlGNpgItfoRtfUPIxIT4XLYUOulaPJEsEiv0ostNhfMKM231IG/1vmmBqXI40RFoZTcp6Rqt2pIMhdmlOZDEKROn0r2I+ofCqM/0TmUVq4TkypwlBSZTDB585zw5lujuVmuqJUHlYwk58Nmo2KHiVBru/wzZgOLRZJJ4BgANRxLR0AKSdptAiX2TYLHaZdXlkqW6zPHXlXsRr7Lodjn8khtSR5siaaXXYmIixJQgnHmsIKHtv5hRGNxxT73M9oqzxj2N1K6bciJxOc1WOw5IIFjAOSbulf5yXVGaR6c1H9lUtgEqGS5Pm1PZY7LYZNzA453K/ccsNy2ehL5k1JV5IHLYUMsLip6ovVnCRtQHtrkMJHZPahsygJFcAjdkJv9KTi5UnJrdsxUYeV0opu2CLOB5Yp92jWo2GeyRQPZYHJsNgENib+TkiKTfFHmFHuccj8iJSP6Vq3mJIFjANSI4FD0IDtYhc1nCjoVq66acmV2RSEA4HiXcs8Bc+z1FgvN5woTmUra4AQ9B1mhdB5OPC7K80GDxeYDEjgGQI3tEVo1ZYcaERz2WQ2UYJwRcyrZ5KpcBIdN1PQcZMacaZLIVCqKFo7G5YajZIPMULptRcfACEYi0nl40y3WcJQEjgFgK1dfYASDiVOPp8pnJHCyglU5negOKlLFI4oirVyzRI7gKLQ9MhyOybkkcxMTNzExTGR+2qmMwGntG0JcBPJddlTSeXgZITf7U+g5YH6ozoL5mNb6tgbFm+9ERaH08CvhWGLxZIk4CZzMmFVeAEEAAiNRdA9OvVS8byiCwIgkVqn/SmbMmZY80ToUnfqp4se7pWepNN+J0kReAzExSovM1AoqOg8vM5TORWM7A1ZcaJHAMQhzEyunYwoInNP9wwjH4nClnJRNTIzHaZcrbT7pHJjy57FVU43XgzyXfcqfZwWmFblR6HYgLirT2fvTxPbUHIreZAybXLsGQvAPT72Kh7bKs2delXS/HuscVCSabOV8TBI4BmFeZREA4JgCqp3d0HVlebBTY62MmVeZdCxThUXiqIt05giCkLJ6nXoEgdmABE7mFHmc8oGPSuRCJbdpKQ8tUxoqCmBLRJOV6AmVfA6s54tI4BiEuYnJ9ZOOqTsV9hnsM4nMmJsQmYrYIBEFYsKVyIzZFaxMWQGRmZigWV4JkRlKVrN9QiIza9wOuxxt+USBxdbHzBdVWc8XkcAxCEyMKLHvyibXsyx4Q08FFsFRYouKOSYWbiYyYzar4ulUIIJDW1Q5IScaT9EXiaKITzrIF+VCcsE7NV80FI7iVJ+UaD/PggteEjgGgd18J3uCU06w/JgiODmRuvc9VVgUiCI42SH3YZliBCceF+UtFhI42cEiOFMVON2DYfQNRSAIZINsYb5oqhGc411BiCJQXuBCeaH1qthI4BiEaUVuFHmkBMsTU6hgEEURH9OqKSeYE+4eDKN3CoduBkNRuTzZiqumqSD3YZligmVb/zBCUSnRfobFen9MlTmVymxRsehDfVk+JdpnCVsYTVXgsLnAqotdEjgGQRAE+SacSgShIxDCwEgUdptACa5ZUuB2YHqi6mwqNmDvrSh0U3lylsyeVgC7TUBgJApfYCTnzznikxz7nMpCOCzW+2OqsGTUz3qCCEdzP3STTa4UxcweJeYCgLbK6ck3EEpU8TCnMrM8H24HrZqyJRkazn3vW3YqFl01TQW3wy5PsEfac7fBkfYAAGBBNU2u2TK9JA9FbgciMXFKW4UfJ56Dsyw6uU6FOdMKIQhAbzCMnsHcK6msvlVOAsdAyIllCgicsyx6Q0+VeQpUs8kVVOTYc2J+dTGAZBQmF9h759fQc5AtgiDIf7fmhFDMBUowzp08l13eWp3KfGB1X0QCx0AwR3BkSk6FVk1TQe5HNAWn0txOjn0qnJ2Iuhzx5f4csPeenRBLRHYsqEmIzByjaFIuoLW3R6aKnIeTYyVVMBRFS6/UMNOqvkhVgdPX14fly5fD6/XC6/Vi+fLl6O/vn/A9oihi3bp1qK2tRV5eHq688kocPnx41DX33Xcf5syZg7y8PEybNg1f+cpXcOTIERW/iTacUys5lePdQQyFczuT6qN2cuxTgU2uH7UHckpyFUURH532AwDOrSUb5MKCRPTgaI4RnJFITE7Upy2q3GBRtOYcbdDuH4F/OAKHTaAKqhyZL/ui3GzQ3B6AKAJVxW75KCCroarAuf3223Hw4EFs27YN27Ztw8GDB7F8+fIJ3/P4449jw4YN2LRpE/bu3Yvq6mpcffXVGBhIGrmxsRE///nP0dzcjD/96U8QRRFNTU2IxaZ+fo2eVBZ5MK3IDVFMRgGyIRKLy5PCedO9Sg/PEpxdXQS7TUBvMIx2f/ZJrl0DIXQPhmETkpMEkR1MnB/rHMwpyfWTjkHERekMqml0wGNOsC2qXKPJH7ZJIn9uZSE8TsoFzIVzayUffjixYMqWw6cDoz7HiqgmcJqbm7Ft2zY899xzWLx4MRYvXoxnn30Wf/jDH3D06NG07xFFERs3bsTatWtx4403YuHChfjFL36BoaEhvPLKK/J1//iP/4grrrgCs2bNwsUXX4wf/ehHaG1txWeffabW19EMtur/KAfH8knHIMKxOIo8DtSVUWlsLnicdjkPhzmIbGDvmTOtkEpjc6TW60GRx4FoXMypF0tzYntqfnUxHfCYI2dXFUEQgM6BUE5Jrh8mnoOFtNDKmYXTk9uEkVj2Qv8wRZLVEzi7d++G1+vFpZdeKr922WWXwev1YteuXWnfc+LECfh8PjQ1Ncmvud1uLFu2bNz3BINB/PznP0dDQwPq6uqU/RI6IAucHFT7hyk3NDn23GErHrYKzQbmVM6xsFOZKoIg4JxEDkhONki8h+WRENlT4HZgZuLw2VyiycwGC+k5yJn6snwUeRwIx+I55QQmIzjWtYFqAsfn86GysnLM65WVlfD5fOO+BwCqqqpGvV5VVTXmPU899RQKCwtRWFiIbdu2YceOHXC50vccCYVCCAQCo/4ZlXNqWFgyh+iB7FRo1TQV2Mopl9AwORVluKCuBADw/qn+rN/7/il/4jPoOZgK5yaiL7nY4DBFcKbMVIR+OBqXC05oiyoL1q1bB0EQJvy3b98+AEgbRRBFcdLowpk/T/eer33tazhw4AB27tyJefPm4ZZbbsHISPqcifXr18uJzl6v19CRHjYxHvFlH5aUJ9fpNLlOBeaUp7JFZWWnogTnz5D+fodOZe/YP0rY4MKESCJy48IZJQCA91v7s3pf10AIvsAIBIGiaFMlV190rDOZrmDlTt6ObN9w//3347bbbpvwmlmzZuHQoUPo6OgY87Ourq4xERpGdXU1ACmSU1NTI7/e2dk55j1MrMybNw+XXXYZSktLsWXLFnz1q18d87kPPfQQ1qxZI/8/EAgYVuSwsOTASBRHfQMZr4BicVHO26EIztRYUFMMQZAqQboGQhknqvYGw3JZJkVwpsYFicm1uT2AkUgs40TVI74AwrE4SvKdqE9ssRC5cWF9CQDgYGt/RgtTBtsqb6goQIE76ymGSIH5kQ+yjOCwqNvCWq+l0xWyjuBUVFRg/vz5E/7zeDxYvHgx/H4/3n33Xfm977zzDvx+P5YsWZL2sxsaGlBdXY0dO3bIr4XDYezcuXPc9zBEUUQolD4Zzu12o7i4eNQ/o2KzCbi4vhQAsP9kX8bvO+ILYCgcQ6HbIZ/ITORGoduBuYm/4XstmdvgvYS95lYWoiSfjmiYCjNK81BW4EIkJmbVbI5tT50/o8TSjl0JFtZ6YbcJ6BwIZVVReCDxHDCRSuQOi0J+0ObP6hBmNnc0zixVY1imQbUcnAULFuDaa6/Fvffeiz179mDPnj2499578cUvfhFnn322fN38+fOxZcsWANLW1KpVq/Doo49iy5Yt+PDDD3HnnXciPz8ft99+OwDg+PHjWL9+Pfbv34+Wlhbs3r0bt9xyC/Ly8nD99der9XU0ZVHiptyXhcDZ95l07cUzS2G3kWOfKotmlQHITmQyezXWW9upKIEgCLggh20qtp1y4QyKYk6VPJdd7sVyMIttqr0JX/S5xDNE5E5DRQHKC1wIR+NZ5eHIAmeWtX2Rqn1wXn75ZZx33nloampCU1MTzj//fPzqV78adc3Ro0fh9ycN993vfherVq3CypUrsWjRIrS1tWH79u0oKpIeNI/Hg7feegvXX3895s6di1tuuQUFBQXYtWtX2qRmM8JU93tZTK57P+sFkBRHxNSQRWbi75oJ79GqSVFYonE2UbQDiWvPp+iBIjAbZCpwIrE4DrRKNlhk8clVCQRBkP0JW8RORs9gSG50eXGdtW2g6gZpWVkZXnrppQmvObNbrCAIWLduHdatW5f2+traWmzdulWpIRqSC+pKYLcJaOsfRrt/GDXeiZPERFGUb35yKsrAVp8ftPkzygEJR+PyvrfVV01KcUmDZIPdn/ZklAPSGRjBp11BCAJFD5Ti4vpSvPJOC949kZnQ/+h0ACOROLx5Tnmbl5gan5tVhu0fdWDvZ324b9nk17/X0g9AOlfPm+9Ud3AGh86iMiAFbofcrj6TLZK2/mH4AiNw2ASqHFGIurI8VBa5EYmJGW2RfHjaj1A0jtJ8J2ZXFGgwQv65uL4ULocNnQMhHE+sSCdi9/EeAFJiptUdu1IsmVMOADh0qh/+4cik16dGkm20Va4IbNG6/2RvRsfH7DvZO+p9VoYEjkG5ZJbkWN7+pHvSa9nq6tzaYuS7qGpBCQRBkB3EO4mJcyJ2fypds2hWGSW3KoTHaZfzmXZ9OrkNdh2Trlkyp0LVcVmJ2pI8zK4oQFzM7DlgvoiimMpxbq0XHqcNfUMR+QDTiZB90UyKYpLAMSjLzp4GAHjjaNekqv3Nj7sAAEvmkmNXksvnSjb469HOSa996xPJBlfMIxsoyeJEBGH3p5MLfRbBYe8hlGHJXOnvOZnIjMTi8jWfJ5GpGC6HDZc2SDaYzBf1BsNySflS8kUkcIzKpQ1l8Dht8AVGcLRj/Fbp8biINxNRnivPmqbV8CzB38yX/p4HWvsnPI8nGIrKW4lL55ENlGSJLHB6EIuPL/Rbe4fQ0jsEu02g/BuFYWLl7WMTi8z3TvZhMBRFWYGLDvtVmC8skApo/nJkYoHz9rFuiKJ0EnllsUeLoRkaEjgGxeO0Y/Fsybm/cbRr3OsOtfnRGwyj0O3AxVS9oyg13jycU1MMUQR2fjy+Dd76pBuRmIj6snzMovwbRbmgrgTePCf6hiIT5qNt/0hqKto4sxSF1FxOURbPKYdNkLrjtiYaWabjr0eTUUzKv1GWvzlbEjj7T/bBPzR+LtRfmqXn4Apa7AIggWNorkzc1H9pHl+1b/2gHYC0peW0kzmV5m/nSzZ4fYKVE7PBtQurNRmTlXDabfhCwgZ/Opz+DDsA+NOH0s+uPZdsoDQl+S5cllhs/fHD9rTXiKIoPwdfWJC+Uz2RO3Vl+ZhXWYhYXMTOT9IvtkLRGP6cmCuuOZdsAJDAMTRXn1MFQQDe/awXp/rGrpxEUcR/H5KcypfOrxnzc2LqyKHh5k4MhqJjfj4SieH1xKrpOhI4qtCUEC1bP2hPu03VERjB3kTlSBM5dlW47jzJv/z3B+lF5gdtfrT0DiHPaZefGUJZrjpHurd///7ptD9/6+NuDIaiqC724CKL979hkMAxMLUlefI21Zb32sb8fPfxHrT1D6PAZZejPYSyXFhXgtnTCjAciWHrobGr1/8+1I5gOIbpJXlUoq8SV549Dd48J9r9I3gzzer1P/e1QhSl0uQZpXT+lBpce241HDYB77f244hv7NEZ/2//KQDA3y6opEpOlbjxoukAgL8e6UR3mpzAX+9tBQBcf14NbREmIIFjcG66eAYA4KV3To45i+TF//kMAHDjxTMyPoyQyA5BEHBzo2SDX+75bFRFmyiK+OWekwCA2y+tp/JwlfA47bjxYsm5v5z4ezMisTj+413JsX/1knrNx2YVphW55ejYr3aPtkFgJCILnNvJBqoxr6oIF9SVIBoX8co7LaN+dqpvCH85IkWSb7+UbMAggWNwvnhBDaqK3egIhGQnAgCHT/uxI7E18o0lM/UaniW4dVEd8l12fNgWwOsp+VBvHO3C+639cNltuPVzxjydnhe+ftlM2ATgz82d8nlTAPCf+06hrX8Y5QUuXH8ebdOqyfLLZgGQ/uapycbPv3UCQ+EY5lUWylVvhDrc9flZAIDn3z6BgZFksvHPXv8EcVGqOpxbSR2kGSRwDI7bYcd9V8wBADy+7Sja/cMYicTw/d9+CFEEvnh+DeZWFuk8Sr4pL3TjjsWzAAA/+N1h+Icj8A9H8MgfPgIA3Pn5WagodOs4Qv6ZM60Qf5cI0a/97QcYicRwun8YT2w/CgC4/2/nIs9FUUw1uWx2GT4/txzhWBzf/+2HiMVFfNwxgM07PwUAPHjVPIpiqswXz6/FnGkFkv/5/UcQRRG7P+3BfyYWv//UdPYkn2AtBDGT3s+cEQgE4PV64ff7UVxcrPdwJiUai+Pvn9qFD9r8qPF6UFXswcHWfhS6Hdi++grUlkx8VhUxdQZGIrj+Z2+htXcYDRUFcDtsOOIbQHWxB39afQW8eXQ0gNq0+4dx/f99C31DEVxQV4L+oTBO9gzhnJpibPnWErgdJHDU5ogvgK9s+h+EonFcNrsMxzoH0T0YxuVzK/Cruy8hgaMB7xzvwVef3YO4CHx+bjkOnfJjYCSKmy6egX+95QK9h6c62czfFMExAQ67DU997WI0VBSg3T+Cg6398DhtePaORSRuNKLI48TTX2tEZZEbJ7qDOOIbgDfPiefvXETiRiNqvHl48msXI99lx/ut/TjZM4Rarwf/vryRxI1GzK8uxsZbL4TDJmDP8V50D4Yxv7oIm26/iMSNRlw6uxz/8uVzYbcJ+J9jPRgYieKShjL8+O8X6j00w0ERHBNEcBiBkQi2vNeGYDiKL55Xi/pyqhjRmt5gGL95TwoHf/mCWuoWqgOn+obw34fakeey4ysXTieBqQPHOgfwp8MdKC9w4SsXTqftQR04fNqPvx7pxIzSfNxwfo1l+qBlM3+TwDGRwCEIgiAIK0NbVARBEARBWBoSOARBEARBcAcJHIIgCIIguIMEDkEQBEEQ3EEChyAIgiAI7iCBQxAEQRAEd5DAIQiCIAiCO0jgEARBEATBHSRwCIIgCILgDhI4BEEQBEFwBwkcgiAIgiC4gwQOQRAEQRDcQQKHIAiCIAjucOg9AD1gB6gHAgGdR0IQBEEQRKaweZvN4xNhSYEzMDAAAKirq9N5JARBEARBZMvAwAC8Xu+E1whiJjKIM+LxOE6fPo2ioiIIgqDoZwcCAdTV1aG1tRXFxcWKfjaRhP7O2kB/Z+2gv7U20N9ZG9T6O4uiiIGBAdTW1sJmmzjLxpIRHJvNhhkzZqj6O4qLi+nh0QD6O2sD/Z21g/7W2kB/Z21Q4+88WeSGQUnGBEEQBEFwBwkcgiAIgiC4gwSOwrjdbvzgBz+A2+3WeyhcQ39nbaC/s3bQ31ob6O+sDUb4O1syyZggCIIgCL6hCA5BEARBENxBAocgCIIgCO4ggUMQBEEQBHeQwCEIgiAIgjtI4CjIU089hYaGBng8HjQ2NuKtt97Se0jcsX79enzuc59DUVERKisr8Xd/93c4evSo3sPinvXr10MQBKxatUrvoXBHW1sbvv71r6O8vBz5+fm48MILsX//fr2HxR3RaBTf//730dDQgLy8PMyePRuPPPII4vG43kMzNW+++Sa+9KUvoba2FoIg4Le//e2on4uiiHXr1qG2thZ5eXm48sorcfjwYU3GRgJHIV599VWsWrUKa9euxYEDB7B06VJcd911aGlp0XtoXLFz505861vfwp49e7Bjxw5Eo1E0NTUhGAzqPTRu2bt3L5555hmcf/75eg+FO/r6+vD5z38eTqcTf/zjH/HRRx/hX//1X1FSUqL30Ljjsccew+bNm7Fp0yY0Nzfj8ccfx09/+lP827/9m95DMzXBYBAXXHABNm3alPbnjz/+ODZs2IBNmzZh7969qK6uxtVXXy2fCakqIqEIl1xyibhixYpRr82fP1/83ve+p9OIrEFnZ6cIQNy5c6feQ+GSgYEBcd68eeKOHTvEZcuWiQ8++KDeQ+KKf/7nfxYvv/xyvYdhCW644QbxrrvuGvXajTfeKH7961/XaUT8AUDcsmWL/P94PC5WV1eLP/nJT+TXRkZGRK/XK27evFn18VAERwHC4TD279+PpqamUa83NTVh165dOo3KGvj9fgBAWVmZziPhk29961u44YYbcNVVV+k9FC753e9+h0WLFuEf/uEfUFlZiYsuugjPPvus3sPikssvvxyvv/46Pv74YwDA+++/j7fffhvXX3+9ziPjlxMnTsDn842aG91uN5YtW6bJ3GjJwzaVpru7G7FYDFVVVaNer6qqgs/n02lU/COKItasWYPLL78cCxcu1Hs43PHrX/8a7733Hvbu3av3ULjl+PHjePrpp7FmzRo8/PDDePfdd/HAAw/A7Xbjjjvu0Ht4XPHP//zP8Pv9mD9/Pux2O2KxGH784x/jq1/9qt5D4xY2/6WbG0+ePKn67yeBoyCCIIz6vyiKY14jlOP+++/HoUOH8Pbbb+s9FO5obW3Fgw8+iO3bt8Pj8eg9HG6Jx+NYtGgRHn30UQDARRddhMOHD+Ppp58mgaMwr776Kl566SW88sorOPfcc3Hw4EGsWrUKtbW1+MY3vqH38LhGr7mRBI4CVFRUwG63j4nWdHZ2jlGuhDJ8+9vfxu9+9zu8+eabmDFjht7D4Y79+/ejs7MTjY2N8muxWAxvvvkmNm3ahFAoBLvdruMI+aCmpgbnnHPOqNcWLFiA1157TacR8cv/+l//C9/73vdw2223AQDOO+88nDx5EuvXryeBoxLV1dUApEhOTU2N/LpWcyPl4CiAy+VCY2MjduzYMer1HTt2YMmSJTqNik9EUcT999+P3/zmN/jLX/6ChoYGvYfEJV/4whfwwQcf4ODBg/K/RYsW4Wtf+xoOHjxI4kYhPv/5z49pc/Dxxx9j5syZOo2IX4aGhmCzjZ7y7HY7lYmrSENDA6qrq0fNjeFwGDt37tRkbqQIjkKsWbMGy5cvx6JFi7B48WI888wzaGlpwYoVK/QeGld861vfwiuvvIL/+q//QlFRkRw183q9yMvL03l0/FBUVDQmr6mgoADl5eWU76Qgq1evxpIlS/Doo4/illtuwbvvvotnnnkGzzzzjN5D444vfelL+PGPf4z6+nqce+65OHDgADZs2IC77rpL76GZmsHBQRw7dkz+/4kTJ3Dw4EGUlZWhvr4eq1atwqOPPop58+Zh3rx5ePTRR5Gfn4/bb79d/cGpXqdlIZ588klx5syZosvlEi+++GIqXVYBAGn//fznP9d7aNxDZeLq8Pvf/15cuHCh6Ha7xfnz54vPPPOM3kPikkAgID744INifX296PF4xNmzZ4tr164VQ6GQ3kMzNX/961/T+uRvfOMboihKpeI/+MEPxOrqatHtdotXXHGF+MEHH2gyNkEURVF9GUUQBEEQBKEdlINDEARBEAR3kMAhCIIgCII7SOAQBEEQBMEdJHAIgiAIguAOEjgEQRAEQXAHCRyCIAiCILiDBA5BEARBENxBAocgCIIgCO4ggUMQBEEQBHeQwCEIgiAIgjtI4BAEQRAEwR0kcAiCIAiC4I7/H6zEY9LtWrAhAAAAAElFTkSuQmCC\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot\n",
-    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb b/examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb
deleted file mode 100644
index cd4e51ca..00000000
--- a/examples/ode/DuffingEquation/a_Cos_wt_sin_dataset_fitRandomSample.ipynb
+++ /dev/null
@@ -1,778 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "import numpy as np\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# x'(t) = 3 cos (5t)\n",
-    "dt = 0.01\n",
-    "\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"a\"]*torch.cos(coeffs[\"w\"]*prev_val[\"t\"])\n",
-    "\n",
-    "def t_prime(prev_val, coeffs):\n",
-    "    return 1\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"t\": t_prime}\n",
-    "\n",
-    "# Initial conditions [0,0,0]\n",
-    "ode_init = {\"x\": 0, \"t\": 0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"a\": 3., \"w\": 5.}\n"
-   ]
-  },
-  {
-   "source": [
-    "# Dataset: x(t) = 0.6 sin(5t)"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "result = torch.cat((0.6*torch.sin(5*torch.arange(0,10,dt).view(1000,1)), torch.arange(0,10,dt).t().view(1000,1)), dim=1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:54:20.584415</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m3fba07e66c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.71554\" xlink:href=\"#m3fba07e66c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(51.53429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"119.711446\" xlink:href=\"#m3fba07e66c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(116.530196 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"184.707353\" xlink:href=\"#m3fba07e66c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(181.526103 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.703259\" xlink:href=\"#m3fba07e66c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(246.522009 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"314.699166\" xlink:href=\"#m3fba07e66c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(311.517916 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"379.695072\" xlink:href=\"#m3fba07e66c\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(373.332572 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mfe6fa0e2df\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe6fa0e2df\" y=\"261.217173\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.6 -->\n      <g transform=\"translate(7.2 265.016392)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe6fa0e2df\" y=\"220.896882\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.4 -->\n      <g transform=\"translate(7.2 224.696101)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe6fa0e2df\" y=\"180.576591\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.2 -->\n      <g transform=\"translate(7.2 184.37581)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe6fa0e2df\" y=\"140.2563\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 144.055519)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe6fa0e2df\" y=\"99.93601\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.2 -->\n      <g transform=\"translate(15.579688 103.735228)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe6fa0e2df\" y=\"59.615719\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.4 -->\n      <g transform=\"translate(15.579688 63.414938)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#mfe6fa0e2df\" y=\"19.295428\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.6 -->\n      <g transform=\"translate(15.579688 23.094647)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pd1432ef41a)\" d=\"M 54.71554 140.2563 \nL 57.640355 87.642489 \nL 59.265253 62.331168 \nL 60.565171 45.504398 \nL 61.54011 35.332031 \nL 62.515048 27.516035 \nL 63.165007 23.703453 \nL 63.814967 21.055439 \nL 64.464925 19.598428 \nL 64.789905 19.321583 \nL 65.114885 19.346998 \nL 65.439864 19.674636 \nL 65.764844 20.303658 \nL 66.414802 22.458832 \nL 67.064762 25.791011 \nL 67.714721 30.266886 \nL 68.68966 39.024293 \nL 69.664599 50.055141 \nL 70.964516 67.864586 \nL 72.589414 94.090252 \nL 74.864271 135.226655 \nL 78.114067 193.783982 \nL 79.738965 218.956502 \nL 81.038882 235.63702 \nL 82.013822 245.68289 \nL 82.988759 253.361083 \nL 83.638718 257.077053 \nL 84.288676 259.6258 \nL 84.938637 260.981837 \nL 85.263616 261.207901 \nL 85.588595 261.131633 \nL 85.913574 260.753249 \nL 86.238553 260.073675 \nL 86.888512 257.81856 \nL 87.538472 254.388772 \nL 88.188431 249.818641 \nL 89.163368 240.928116 \nL 90.138306 229.776714 \nL 91.438227 211.830726 \nL 93.063123 185.480793 \nL 95.337981 144.269687 \nL 98.587777 85.818576 \nL 100.212674 60.786624 \nL 101.512594 44.253517 \nL 102.487532 34.334864 \nL 103.46247 26.795004 \nL 104.112428 23.175886 \nL 104.762387 20.72661 \nL 105.087366 19.948766 \nL 105.412345 19.471619 \nL 105.737324 19.296385 \nL 106.062303 19.423482 \nL 106.387287 19.852599 \nL 106.712266 20.582654 \nL 107.362224 22.937589 \nL 108.012183 26.464698 \nL 108.662141 31.128821 \nL 109.637079 40.151821 \nL 110.612016 51.422936 \nL 111.911937 69.504222 \nL 113.536833 95.97656 \nL 116.136671 143.306834 \nL 119.061484 195.600204 \nL 120.686384 220.489816 \nL 121.986301 236.874287 \nL 122.961238 246.665073 \nL 123.936176 254.066084 \nL 124.586135 257.588062 \nL 125.236101 259.937745 \nL 125.56108 260.665145 \nL 125.886059 261.091582 \nL 126.211038 261.216 \nL 126.536018 261.038061 \nL 126.860997 260.558247 \nL 127.185976 259.777759 \nL 127.835935 257.323209 \nL 128.485893 253.698959 \nL 129.135851 248.941265 \nL 130.110789 239.786403 \nL 131.085727 228.39626 \nL 132.385644 210.181171 \nL 134.010548 183.587942 \nL 136.610381 136.189181 \nL 139.210215 89.432528 \nL 140.835119 63.856083 \nL 142.135036 46.74789 \nL 143.109974 36.331302 \nL 144.084911 28.24865 \nL 144.73487 24.248745 \nL 145.384828 21.407963 \nL 146.034787 19.754677 \nL 146.359766 19.378961 \nL 146.684745 19.305385 \nL 147.009724 19.534117 \nL 147.334703 20.064604 \nL 147.984662 22.024716 \nL 148.634628 25.166231 \nL 149.284586 29.457618 \nL 150.259524 37.954078 \nL 151.234462 48.747957 \nL 152.534379 66.287952 \nL 154.159275 92.266129 \nL 156.434129 133.248892 \nL 159.683929 192.001063 \nL 161.308825 217.442209 \nL 162.608742 234.406482 \nL 163.58368 244.697967 \nL 164.558618 252.643945 \nL 165.208576 256.547791 \nL 165.858535 259.289642 \nL 166.508501 260.842218 \nL 166.83348 261.167153 \nL 167.158459 261.1899 \nL 167.483438 260.910351 \nL 167.808418 260.329263 \nL 168.458376 258.268874 \nL 169.108335 255.029353 \nL 169.758293 250.643037 \nL 170.733231 242.012306 \nL 171.708168 231.096377 \nL 173.008085 213.41752 \nL 174.632989 187.31112 \nL 176.907844 146.248267 \nL 180.157636 87.594207 \nL 181.782532 62.290156 \nL 183.082457 45.471005 \nL 184.057394 35.305331 \nL 185.03234 27.496533 \nL 185.682298 23.689045 \nL 186.332257 21.046318 \nL 186.982215 19.594643 \nL 187.307187 19.320477 \nL 187.632173 19.348584 \nL 187.957145 19.67889 \nL 188.282132 20.310603 \nL 188.93209 22.471089 \nL 189.582049 25.808387 \nL 190.232007 30.289272 \nL 191.206937 39.053698 \nL 192.181883 50.090914 \nL 193.481799 67.907659 \nL 195.106703 94.139949 \nL 197.381566 135.280429 \nL 200.631358 193.832209 \nL 202.256246 218.997345 \nL 203.556163 235.670005 \nL 204.531109 245.709266 \nL 205.506038 253.380069 \nL 206.155997 257.090956 \nL 206.805955 259.634464 \nL 207.455914 260.985177 \nL 207.780901 261.20855 \nL 208.105872 261.129602 \nL 208.430859 260.748539 \nL 208.755831 260.066321 \nL 209.405789 257.805919 \nL 210.055748 254.37106 \nL 210.705722 249.795858 \nL 211.680667 240.898213 \nL 212.655597 229.740472 \nL 213.955514 211.787425 \nL 215.580418 185.430709 \nL 217.855264 144.215954 \nL 221.105057 85.770775 \nL 222.729961 60.746099 \nL 224.029877 44.220922 \nL 225.004807 34.309017 \nL 225.979753 26.776367 \nL 226.629727 23.162319 \nL 227.279685 20.718319 \nL 227.604657 19.94319 \nL 227.929644 19.468723 \nL 228.254615 19.29618 \nL 228.579602 19.425969 \nL 228.904573 19.857766 \nL 229.22956 20.590525 \nL 229.879519 22.950687 \nL 230.529477 26.482987 \nL 231.179436 31.152072 \nL 232.154366 40.18194 \nL 233.129311 51.459514 \nL 234.429228 69.547931 \nL 236.054116 96.026596 \nL 238.65395 143.360464 \nL 241.253784 190.20425 \nL 242.878703 215.907573 \nL 244.17862 233.150782 \nL 245.15355 243.685155 \nL 246.128496 251.896754 \nL 246.778454 255.987395 \nL 247.428412 258.921664 \nL 248.078371 260.670276 \nL 248.403342 261.09401 \nL 248.728329 261.215748 \nL 249.053301 261.035141 \nL 249.378288 260.552636 \nL 249.703259 259.769468 \nL 250.353218 257.309654 \nL 251.003176 253.680286 \nL 251.653135 248.917701 \nL 252.62808 239.755779 \nL 253.60301 228.35958 \nL 254.902927 210.1373 \nL 256.527831 183.53796 \nL 259.127664 136.135449 \nL 261.727514 89.383537 \nL 263.352402 63.81459 \nL 264.652319 46.713937 \nL 265.627264 36.303808 \nL 266.602194 28.22845 \nL 267.252153 24.23352 \nL 267.902111 21.398002 \nL 268.55207 19.749991 \nL 268.877057 19.376978 \nL 269.202028 19.306082 \nL 269.527015 19.537505 \nL 269.851987 20.070636 \nL 270.501945 22.036108 \nL 271.151903 25.182706 \nL 271.801862 29.479056 \nL 272.776807 37.982641 \nL 273.751737 48.782822 \nL 275.051654 66.33022 \nL 276.676573 92.315697 \nL 278.95142 133.302564 \nL 282.201212 192.049651 \nL 283.826116 217.483594 \nL 285.126033 234.440224 \nL 286.100963 244.724968 \nL 287.075909 252.663808 \nL 287.725867 256.562499 \nL 288.375825 259.299231 \nL 289.025784 260.846412 \nL 289.350755 261.168679 \nL 289.675742 261.188735 \nL 290.000714 260.906554 \nL 290.325701 260.322738 \nL 290.975659 258.257122 \nL 291.625633 255.012362 \nL 292.275592 250.620951 \nL 293.250522 241.983238 \nL 294.225467 231.060712 \nL 295.525384 213.374333 \nL 297.150272 187.261801 \nL 299.425135 146.19434 \nL 302.674927 87.545601 \nL 304.299815 62.24924 \nL 305.599732 45.437761 \nL 306.574677 35.278619 \nL 307.549623 27.477078 \nL 308.199581 23.674758 \nL 308.84954 21.037174 \nL 309.499498 19.59087 \nL 309.824485 19.319396 \nL 310.149457 19.350182 \nL 310.474444 19.683204 \nL 310.799415 20.317573 \nL 311.449373 22.483298 \nL 312.099332 25.825727 \nL 312.74929 30.311671 \nL 313.724236 39.083282 \nL 314.699166 50.126764 \nL 315.999083 67.950756 \nL 317.623986 94.189657 \nL 319.898833 135.333916 \nL 323.148641 193.880611 \nL 324.773514 219.037624 \nL 326.073431 235.702755 \nL 327.048392 245.735594 \nL 328.023322 253.39909 \nL 328.673265 257.104811 \nL 329.323238 259.643116 \nL 329.973181 260.988482 \nL 330.298168 261.209175 \nL 330.623155 261.127559 \nL 330.948142 260.743792 \nL 331.273098 260.058967 \nL 331.923072 257.793277 \nL 332.573015 254.353299 \nL 333.22302 249.772943 \nL 334.19795 240.868496 \nL 335.17288 229.704291 \nL 336.472797 211.744251 \nL 338.097701 185.380835 \nL 340.372548 144.16222 \nL 343.622355 85.722578 \nL 345.247259 60.705249 \nL 346.547176 44.188112 \nL 347.522106 34.282869 \nL 348.497036 26.757765 \nL 349.14701 23.148849 \nL 349.796953 20.710148 \nL 350.12194 19.937651 \nL 350.446927 19.465876 \nL 350.771883 19.296 \nL 351.09687 19.428457 \nL 351.421857 19.862957 \nL 351.746844 20.598348 \nL 352.396787 22.963761 \nL 353.04676 26.501252 \nL 353.696703 31.175192 \nL 354.671633 40.212023 \nL 355.646594 51.496181 \nL 356.946511 69.59137 \nL 358.571384 96.076209 \nL 361.171218 143.413977 \nL 363.771052 190.25279 \nL 365.395986 215.94951 \nL 366.695903 233.185053 \nL 367.670833 243.713021 \nL 368.645794 251.917519 \nL 369.295737 256.003017 \nL 369.945711 258.93213 \nL 370.595654 260.675371 \nL 370.920641 261.096437 \nL 371.245628 261.215471 \nL 371.570584 261.032173 \nL 371.895571 260.546964 \nL 372.220558 259.761128 \nL 372.870501 257.2961 \nL 373.520475 253.661516 \nL 374.170418 248.893968 \nL 375.145379 239.725065 \nL 376.120308 228.322581 \nL 377.420225 210.093218 \nL 379.045098 183.487966 \nL 379.370085 177.787806 \nL 379.370085 177.787806 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482813 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd1432ef41a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,1], result_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"a\": 1.,\"w\": 1.}\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(4.5270e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-2.4322, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-0.1929, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-1.8558, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-1.6210, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.9097, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-4.3786, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(4.1739e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.7750, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-4.7117, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.2855, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-4.6512, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(3.3292e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-1.9476, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-4.7786, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(1.1075e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.4619, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-4.1053, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.2398, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.6427, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(3.2227e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2927, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.2822, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.4024, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.4214, requires_grad=True)}\n",
-      "Epoch: 10\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.3405, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-4.0005, requires_grad=True)}\n",
-      "Epoch: 11\t Loss: tensor(5.2558e-07, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-1.5829, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-4.3484, requires_grad=True)}\n",
-      "Epoch: 12\t Loss: tensor(2.9727e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0696, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.9735, requires_grad=True)}\n",
-      "Epoch: 13\t Loss: tensor(9.5041e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0153, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.9711, requires_grad=True)}\n",
-      "Epoch: 14\t Loss: tensor(5.1703e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.4543, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.0306, requires_grad=True)}\n",
-      "Epoch: 15\t Loss: tensor(4.6333e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2425, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.1199, requires_grad=True)}\n",
-      "Epoch: 16\t Loss: tensor(1.0890e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(1.0737, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.0614, requires_grad=True)}\n",
-      "Epoch: 17\t Loss: tensor(4.1453e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.7318, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.1605, requires_grad=True)}\n",
-      "Epoch: 18\t Loss: tensor(4.0322e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.6846, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.6746, requires_grad=True)}\n",
-      "Epoch: 19\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.4716, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.9486, requires_grad=True)}\n",
-      "Epoch: 20\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.4636, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.0513, requires_grad=True)}\n",
-      "Epoch: 21\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2133, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.0262, requires_grad=True)}\n",
-      "Epoch: 22\t Loss: tensor(9.1002e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2131, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.0550, requires_grad=True)}\n",
-      "Epoch: 23\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2561, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.1017, requires_grad=True)}\n",
-      "Epoch: 24\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.6285, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.1315, requires_grad=True)}\n",
-      "Epoch: 25\t Loss: tensor(8.0482e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.9587, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.8163, requires_grad=True)}\n",
-      "Epoch: 26\t Loss: tensor(5.4839e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.8753, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.4388, requires_grad=True)}\n",
-      "Epoch: 27\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3497, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2782, requires_grad=True)}\n",
-      "Epoch: 28\t Loss: tensor(1.1273e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1637, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2723, requires_grad=True)}\n",
-      "Epoch: 29\t Loss: tensor(6.0147e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0477, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.3468, requires_grad=True)}\n",
-      "Epoch: 30\t Loss: tensor(8.3584e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1129, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.3795, requires_grad=True)}\n",
-      "Epoch: 31\t Loss: tensor(7.6798e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0488, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.3675, requires_grad=True)}\n",
-      "Epoch: 32\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.3402, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.3180, requires_grad=True)}\n",
-      "Epoch: 33\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0959, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.3005, requires_grad=True)}\n",
-      "Epoch: 34\t Loss: tensor(9.6643e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0825, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.3338, requires_grad=True)}\n",
-      "Epoch: 35\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0977, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.4111, requires_grad=True)}\n",
-      "Epoch: 36\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.2193, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.4535, requires_grad=True)}\n",
-      "Epoch: 37\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.5342, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.5106, requires_grad=True)}\n",
-      "Epoch: 38\t Loss: tensor(2.8332e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.6357, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.3143, requires_grad=True)}\n",
-      "Epoch: 39\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.2803, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2216, requires_grad=True)}\n",
-      "Epoch: 40\t Loss: tensor(1.1408e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0466, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2106, requires_grad=True)}\n",
-      "Epoch: 41\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0309, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2120, requires_grad=True)}\n",
-      "Epoch: 42\t Loss: tensor(3.6971e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2747, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.2372, requires_grad=True)}\n",
-      "Epoch: 43\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.4057, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.3999, requires_grad=True)}\n",
-      "Epoch: 44\t Loss: tensor(7.4059e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2769, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.6607, requires_grad=True)}\n",
-      "Epoch: 45\t Loss: tensor(3.0574e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2911, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.8372, requires_grad=True)}\n",
-      "Epoch: 46\t Loss: tensor(4.4585e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.5236, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-2.9330, requires_grad=True)}\n",
-      "Epoch: 47\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3666, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.0814, requires_grad=True)}\n",
-      "Epoch: 48\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0783, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.1630, requires_grad=True)}\n",
-      "Epoch: 49\t Loss: tensor(7.5517e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0256, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.1735, requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.5},\n",
-    "    max_epochs=50,\n",
-    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'a': Parameter containing:\n",
-       " tensor(0.0256, requires_grad=True),\n",
-       " 'w': Parameter containing:\n",
-       " tensor(-3.1735, requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 8
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt=1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[0.0000e+00, 0.0000e+00],\n",
-       "        [2.5617e-04, 1.0000e-02],\n",
-       "        [5.1222e-04, 2.0000e-02],\n",
-       "        ...,\n",
-       "        [1.8023e-03, 9.9701e+00],\n",
-       "        [2.0520e-03, 9.9801e+00],\n",
-       "        [2.2998e-03, 9.9901e+00]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 9
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(1000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 415.527812 297.190125\" width=\"415.527812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:54:22.554357</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 415.527812 297.190125 \nL 415.527812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 51.207813 273.312 \nL 408.327813 273.312 \nL 408.327813 7.2 \nL 51.207813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m1e3d0a4ce4\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"67.44054\" xlink:href=\"#m1e3d0a4ce4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(64.25929 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"132.435578\" xlink:href=\"#m1e3d0a4ce4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(129.254328 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"197.430615\" xlink:href=\"#m1e3d0a4ce4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(194.249365 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"262.425653\" xlink:href=\"#m1e3d0a4ce4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(259.244403 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"327.420691\" xlink:href=\"#m1e3d0a4ce4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(324.239441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"392.415729\" xlink:href=\"#m1e3d0a4ce4\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(386.053229 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mc0c790870a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"262.04937\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.008 -->\n      <g transform=\"translate(7.2 265.848589)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"306.445312\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"232.08083\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.006 -->\n      <g transform=\"translate(7.2 235.880049)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"306.445312\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"202.112289\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.004 -->\n      <g transform=\"translate(7.2 205.911508)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"306.445312\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"172.143749\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −0.002 -->\n      <g transform=\"translate(7.2 175.942968)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"306.445312\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"142.175208\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.000 -->\n      <g transform=\"translate(15.579688 145.974427)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"112.206668\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.002 -->\n      <g transform=\"translate(15.579688 116.005887)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"82.238127\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.004 -->\n      <g transform=\"translate(15.579688 86.037346)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"52.269587\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 0.006 -->\n      <g transform=\"translate(15.579688 56.068806)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.207813\" xlink:href=\"#mc0c790870a\" y=\"22.301046\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 0.008 -->\n      <g transform=\"translate(15.579688 26.100265)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"222.65625\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p7696868489)\" d=\"M 67.44054 142.175208 \nL 71.665217 93.520546 \nL 73.940044 70.088011 \nL 75.56492 55.400879 \nL 77.189795 42.845793 \nL 78.489694 34.550794 \nL 79.464619 29.439587 \nL 80.439544 25.332087 \nL 81.414468 22.265497 \nL 82.064418 20.813501 \nL 82.714368 19.842527 \nL 83.364318 19.356482 \nL 83.689292 19.296 \nL 84.014268 19.357333 \nL 84.664218 19.845053 \nL 85.314168 20.817702 \nL 85.964118 22.271344 \nL 86.614067 24.200133 \nL 87.588992 27.966729 \nL 88.563917 32.750379 \nL 89.538841 38.507746 \nL 90.838741 47.607569 \nL 92.13864 58.198357 \nL 93.763515 73.27179 \nL 95.713364 93.545065 \nL 98.313163 123.06665 \nL 104.162713 190.53199 \nL 106.112562 210.445515 \nL 107.737436 225.129953 \nL 109.362311 237.681864 \nL 110.66221 245.974038 \nL 111.637135 251.082991 \nL 112.61206 255.18814 \nL 113.586984 258.252302 \nL 114.236934 259.702657 \nL 114.886884 260.671971 \nL 115.536834 261.156342 \nL 115.861808 261.215986 \nL 116.186783 261.153816 \nL 116.836733 260.664421 \nL 117.486683 259.690112 \nL 118.136633 258.234816 \nL 118.786582 256.304387 \nL 119.761507 252.535412 \nL 120.736432 247.74948 \nL 121.711356 241.989936 \nL 123.011256 232.887413 \nL 124.311155 222.294203 \nL 125.93603 207.218189 \nL 127.885879 186.942541 \nL 130.485678 157.419177 \nL 136.33523 89.955958 \nL 138.285079 70.044952 \nL 139.909953 55.363214 \nL 141.534828 42.814471 \nL 142.834727 34.525116 \nL 143.809652 29.418417 \nL 144.784577 25.315627 \nL 145.759501 22.253886 \nL 146.409451 20.805198 \nL 147.059401 19.837559 \nL 147.70935 19.354863 \nL 148.034325 19.296056 \nL 148.3593 19.359063 \nL 149.00925 19.850133 \nL 149.6592 20.826103 \nL 150.309149 22.283052 \nL 150.959099 24.215093 \nL 151.934024 27.986441 \nL 152.908949 32.774668 \nL 153.883873 38.536396 \nL 155.183773 47.641627 \nL 156.483672 58.237258 \nL 158.108547 73.315853 \nL 160.058396 93.593874 \nL 162.658195 123.119024 \nL 168.507743 190.580115 \nL 170.457592 210.488608 \nL 172.082466 225.167653 \nL 173.707341 237.713236 \nL 175.00724 245.999771 \nL 175.982165 251.104216 \nL 176.95709 255.204663 \nL 177.932014 258.263975 \nL 178.581964 259.711031 \nL 179.231914 260.677009 \nL 179.881863 261.15803 \nL 180.206838 261.216 \nL 180.531813 261.152155 \nL 181.181763 260.659411 \nL 181.831713 259.681767 \nL 182.481663 258.22317 \nL 183.131612 256.289504 \nL 184.106537 252.515777 \nL 185.081462 247.725267 \nL 186.381361 239.83254 \nL 187.681261 230.33736 \nL 189.306135 216.449993 \nL 190.931009 200.648204 \nL 193.205834 176.072907 \nL 196.780557 134.394451 \nL 200.355351 93.423121 \nL 202.630229 70.002103 \nL 204.255142 55.325919 \nL 205.880055 42.783749 \nL 207.179986 34.500297 \nL 208.154934 29.39835 \nL 209.129882 25.30052 \nL 210.104829 22.24395 \nL 210.754795 20.798765 \nL 211.40476 19.834684 \nL 212.054725 19.355589 \nL 212.379708 19.298596 \nL 212.70469 19.363404 \nL 213.354656 19.858101 \nL 214.004621 20.837686 \nL 214.654586 22.298222 \nL 215.304551 24.23382 \nL 216.279499 28.010374 \nL 217.254447 32.803632 \nL 218.554378 40.699869 \nL 219.854308 50.198287 \nL 221.479221 64.089254 \nL 223.104135 79.894036 \nL 225.379013 104.472338 \nL 228.953822 146.1523 \nL 232.528631 187.120913 \nL 234.803509 210.538086 \nL 236.428422 225.210656 \nL 238.053335 237.74857 \nL 239.353266 246.028226 \nL 240.328214 251.127159 \nL 241.303162 255.221828 \nL 242.27811 258.275153 \nL 242.928075 259.71812 \nL 243.57804 260.679967 \nL 244.228005 261.156816 \nL 244.552988 261.212693 \nL 244.877971 261.146754 \nL 245.527936 260.649824 \nL 246.177901 259.668007 \nL 246.827866 258.205266 \nL 247.477832 256.267497 \nL 248.452779 252.487755 \nL 249.427727 247.691433 \nL 250.727658 239.791345 \nL 252.027588 230.289389 \nL 253.652501 216.394556 \nL 255.277415 200.586592 \nL 257.552293 176.005151 \nL 261.127102 134.323645 \nL 264.701911 93.357766 \nL 266.976789 69.944419 \nL 268.601702 55.275471 \nL 270.226615 42.741799 \nL 271.526546 34.465933 \nL 272.501494 29.370042 \nL 273.476442 25.278513 \nL 274.45139 22.228446 \nL 275.101355 20.787684 \nL 275.75132 19.828069 \nL 276.401285 19.353454 \nL 276.726268 19.298707 \nL 277.051251 19.365776 \nL 277.701216 19.864967 \nL 278.351181 20.849017 \nL 279.001146 22.313963 \nL 279.651112 24.253916 \nL 280.62606 28.036854 \nL 281.601007 32.836239 \nL 282.900938 40.740186 \nL 284.200868 50.245672 \nL 285.825782 64.14437 \nL 287.450695 79.955523 \nL 289.725573 104.540115 \nL 293.300382 146.223162 \nL 296.875191 187.18631 \nL 299.150069 210.595833 \nL 300.774982 225.261153 \nL 302.399896 237.790561 \nL 303.699826 246.062646 \nL 304.674774 251.155516 \nL 305.649722 255.243884 \nL 306.62467 258.290699 \nL 307.274635 259.729242 \nL 307.9246 260.68661 \nL 308.574566 261.158965 \nL 308.899548 261.212595 \nL 309.224531 261.14441 \nL 309.874496 260.642986 \nL 310.524461 259.656703 \nL 311.174427 258.189545 \nL 311.824392 256.247415 \nL 312.79934 252.461282 \nL 313.774288 247.65882 \nL 315.074218 239.751021 \nL 316.374149 230.241997 \nL 317.999062 216.339426 \nL 319.623975 200.525099 \nL 321.898853 175.937374 \nL 325.473662 134.252793 \nL 329.048456 93.292368 \nL 331.323334 69.886666 \nL 332.948247 55.224939 \nL 334.57316 42.699766 \nL 335.873091 34.431449 \nL 336.848039 29.341587 \nL 337.822986 25.256366 \nL 338.797934 22.212788 \nL 339.4479 20.776422 \nL 340.097865 19.821259 \nL 340.74783 19.351137 \nL 341.072813 19.298638 \nL 341.397795 19.367953 \nL 342.047761 19.871624 \nL 342.697726 20.860126 \nL 343.347691 22.329481 \nL 343.997656 24.273774 \nL 344.972604 28.063068 \nL 345.947552 32.86858 \nL 347.247483 40.780202 \nL 348.547413 50.292722 \nL 350.172326 64.199152 \nL 351.797239 80.01664 \nL 354.072118 104.60749 \nL 357.646927 146.293594 \nL 361.221736 187.251282 \nL 363.496614 210.653147 \nL 365.121527 225.311245 \nL 366.74644 237.832162 \nL 368.046371 246.09669 \nL 369.021319 251.183531 \nL 369.996267 255.265584 \nL 370.971214 258.30591 \nL 371.62118 259.740057 \nL 372.271145 260.692987 \nL 372.92111 261.160863 \nL 373.246093 261.212246 \nL 373.571075 261.141814 \nL 374.221041 260.635897 \nL 374.871006 259.645162 \nL 375.520971 258.173601 \nL 376.170936 256.227132 \nL 377.145884 252.434648 \nL 378.120832 247.62606 \nL 379.420763 239.710586 \nL 380.720693 230.194536 \nL 382.345606 216.28424 \nL 384.295502 197.104455 \nL 386.570381 172.183732 \nL 392.095085 107.714264 \nL 392.095085 107.714264 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 51.207813 273.312 \nL 51.207813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 408.327813 273.312 \nL 408.327813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 51.207813 273.312 \nL 408.327813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 51.207813 7.2 \nL 408.327813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p7696868489\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"51.207813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot\n",
-    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Runge-Kutta for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"a\": 1.,\"w\": 1.}\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0997, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(4.6741, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1854, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(6.2720, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(1.3846e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-1.9322, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(6.2679, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(5.9804e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0151, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(3.5418, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(2.1066e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.5775, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(1.7847, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3544, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(2.4311, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(8.1897e-08, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3198, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(3.5560, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(1.7646e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1638, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(3.3414, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(2.2373e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-1.3302, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(2.2808, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0128, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-0.9907, requires_grad=True)}\n",
-      "Epoch: 10\t Loss: tensor(2.7092e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(1.1079, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-3.4621, requires_grad=True)}\n",
-      "Epoch: 11\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(1.0649, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-4.8681, requires_grad=True)}\n",
-      "Epoch: 12\t Loss: tensor(5.8265e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(2.7937, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-4.8530, requires_grad=True)}\n",
-      "Epoch: 13\t Loss: tensor(9.6760e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.7413, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-6.1892, requires_grad=True)}\n",
-      "Epoch: 14\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0507, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.1093, requires_grad=True)}\n",
-      "Epoch: 15\t Loss: tensor(2.0103e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(1.1409, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-8.2856, requires_grad=True)}\n",
-      "Epoch: 16\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.7276, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-9.8825, requires_grad=True)}\n",
-      "Epoch: 17\t Loss: tensor(1.8564e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.2852, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-9.2050, requires_grad=True)}\n",
-      "Epoch: 18\t Loss: tensor(6.2649e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.1306, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-8.8655, requires_grad=True)}\n",
-      "Epoch: 19\t Loss: tensor(1.1148e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.8712, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.8213, requires_grad=True)}\n",
-      "Epoch: 20\t Loss: tensor(6.4303e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3711, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.6783, requires_grad=True)}\n",
-      "Epoch: 21\t Loss: tensor(3.6406e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1566, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.6576, requires_grad=True)}\n",
-      "Epoch: 22\t Loss: tensor(4.8942e-08, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0450, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.7096, requires_grad=True)}\n",
-      "Epoch: 23\t Loss: tensor(7.1799e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0168, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.7070, requires_grad=True)}\n",
-      "Epoch: 24\t Loss: tensor(1.0641e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1109, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.7094, requires_grad=True)}\n",
-      "Epoch: 25\t Loss: tensor(4.6307e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1617, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.6906, requires_grad=True)}\n",
-      "Epoch: 26\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0050, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.6407, requires_grad=True)}\n",
-      "Epoch: 27\t Loss: tensor(2.1823e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0981, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.6197, requires_grad=True)}\n",
-      "Epoch: 28\t Loss: tensor(1.3576e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.1332, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.5929, requires_grad=True)}\n",
-      "Epoch: 29\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0645, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.5776, requires_grad=True)}\n",
-      "Epoch: 30\t Loss: tensor(9.3135e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2605, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.5727, requires_grad=True)}\n",
-      "Epoch: 31\t Loss: tensor(5.1299e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2823, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.6115, requires_grad=True)}\n",
-      "Epoch: 32\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1129, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.6248, requires_grad=True)}\n",
-      "Epoch: 33\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1549, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.6662, requires_grad=True)}\n",
-      "Epoch: 34\t Loss: tensor(5.8770e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.3164, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.6577, requires_grad=True)}\n",
-      "Epoch: 35\t Loss: tensor(2.4644e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.4008, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.6906, requires_grad=True)}\n",
-      "Epoch: 36\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2954, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.7434, requires_grad=True)}\n",
-      "Epoch: 37\t Loss: tensor(1.2589e-06, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.4092, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.7065, requires_grad=True)}\n",
-      "Epoch: 38\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.4456, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.5781, requires_grad=True)}\n",
-      "Epoch: 39\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.2274, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.4923, requires_grad=True)}\n",
-      "Epoch: 40\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0936, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.4958, requires_grad=True)}\n",
-      "Epoch: 41\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.0102, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.4707, requires_grad=True)}\n",
-      "Epoch: 42\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1084, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.4729, requires_grad=True)}\n",
-      "Epoch: 43\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0882, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.5021, requires_grad=True)}\n",
-      "Epoch: 44\t Loss: tensor(7.8101e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0559, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.5200, requires_grad=True)}\n",
-      "Epoch: 45\t Loss: tensor(1.7299e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.4571, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.5471, requires_grad=True)}\n",
-      "Epoch: 46\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.7655, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.5353, requires_grad=True)}\n",
-      "Epoch: 47\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.5684, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-7.9033, requires_grad=True)}\n",
-      "Epoch: 48\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0502, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-8.0365, requires_grad=True)}\n",
-      "Epoch: 49\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(-0.2824, requires_grad=True), 'w': Parameter containing:\n",
-      "tensor(-8.0455, requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.5},\n",
-    "    max_epochs=50,\n",
-    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    scheduler_params={\"milestones\": [20],\"gamma\": 0.2}\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'a': Parameter containing:\n",
-       " tensor(-0.2824, requires_grad=True),\n",
-       " 'w': Parameter containing:\n",
-       " tensor(-8.0455, requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 13
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 0.0000e+00,  0.0000e+00],\n",
-       "        [-2.8206e-03,  1.0000e-02],\n",
-       "        [-5.6229e-03,  2.0000e-02],\n",
-       "        ...,\n",
-       "        [ 3.4903e-02,  9.9701e+00],\n",
-       "        [ 3.4496e-02,  9.9801e+00],\n",
-       "        [ 3.3866e-02,  9.9901e+00]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 14
-    }
-   ],
-   "source": [
-    "results_test = ode_solver_train(1000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:54:26.067708</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m44b4a3781b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m44b4a3781b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m44b4a3781b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m44b4a3781b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m44b4a3781b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m44b4a3781b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m44b4a3781b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m7eadc42537\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7eadc42537\" y=\"243.654919\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.03 -->\n      <g transform=\"translate(7.2 247.454138)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7eadc42537\" y=\"209.188585\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 212.987804)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7eadc42537\" y=\"174.722251\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.01 -->\n      <g transform=\"translate(7.2 178.521469)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7eadc42537\" y=\"140.255917\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055135)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7eadc42537\" y=\"105.789582\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.01 -->\n      <g transform=\"translate(15.579688 109.588801)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7eadc42537\" y=\"71.323248\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 75.122467)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#m7eadc42537\" y=\"36.856914\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 0.03 -->\n      <g transform=\"translate(15.579688 40.656133)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pcd9cf01d6a)\" d=\"M 61.07804 140.255917 \nL 63.027891 196.40592 \nL 64.327791 227.410597 \nL 65.302717 244.933527 \nL 65.952667 253.292718 \nL 66.602618 258.731452 \nL 66.927593 260.308669 \nL 67.252569 261.109199 \nL 67.577544 261.127868 \nL 67.90252 260.364547 \nL 68.227495 258.824167 \nL 68.877446 253.457092 \nL 69.527395 245.16531 \nL 70.177345 234.163046 \nL 71.15227 213.216696 \nL 72.452169 178.955146 \nL 76.676843 60.472546 \nL 77.651768 41.053152 \nL 78.301718 31.245687 \nL 78.951668 24.254645 \nL 79.601618 20.260635 \nL 79.926592 19.422882 \nL 80.251567 19.366862 \nL 80.576542 20.092948 \nL 80.901517 21.596427 \nL 81.551467 26.891716 \nL 82.201417 35.115922 \nL 82.851366 46.056556 \nL 83.826291 66.925046 \nL 85.126191 101.116757 \nL 89.350864 219.689418 \nL 90.325789 239.192013 \nL 90.975738 249.063882 \nL 91.625688 256.124541 \nL 92.275638 260.191584 \nL 92.600613 261.066546 \nL 92.925588 261.159916 \nL 93.250563 260.471091 \nL 93.575537 259.004527 \nL 94.225489 253.781102 \nL 94.875439 245.624599 \nL 95.525389 234.745757 \nL 96.500313 213.955422 \nL 97.800213 179.834053 \nL 102.024886 61.173074 \nL 102.999811 41.587573 \nL 103.649761 31.651473 \nL 104.29971 24.5213 \nL 104.94966 20.381302 \nL 105.274635 19.469143 \nL 105.59961 19.338422 \nL 105.924585 19.989973 \nL 106.24956 21.419585 \nL 106.899509 26.571057 \nL 107.549459 34.659715 \nL 108.199409 45.476592 \nL 109.174334 66.188457 \nL 110.474233 100.238973 \nL 114.698906 218.986528 \nL 115.673831 238.654665 \nL 116.323781 248.654873 \nL 116.973731 255.854445 \nL 117.62368 260.067372 \nL 117.948655 261.016728 \nL 118.27363 261.184812 \nL 118.598605 260.570535 \nL 118.92358 259.177876 \nL 119.248555 257.015848 \nL 119.898505 250.44451 \nL 120.548454 241.026307 \nL 121.523379 222.112015 \nL 122.498304 198.452095 \nL 124.123178 152.289883 \nL 126.722981 77.65211 \nL 127.697906 54.727321 \nL 128.67283 36.761068 \nL 129.32278 28.066459 \nL 129.97273 22.270409 \nL 130.297705 20.509199 \nL 130.622679 19.522685 \nL 130.947654 19.317263 \nL 131.272629 19.894266 \nL 131.597604 21.249947 \nL 131.922579 23.375548 \nL 132.572529 29.876589 \nL 133.222478 39.229438 \nL 134.197403 58.058597 \nL 135.172328 81.65315 \nL 136.797202 127.760061 \nL 139.397001 202.462013 \nL 140.371926 225.45561 \nL 141.34685 243.509751 \nL 141.9968 252.271075 \nL 142.64675 258.138347 \nL 142.971725 259.936292 \nL 143.2967 260.959963 \nL 143.621675 261.202737 \nL 143.946649 260.663032 \nL 144.271624 259.344343 \nL 144.596599 257.255219 \nL 145.246549 250.824579 \nL 145.896499 241.537257 \nL 146.871423 222.793572 \nL 147.846348 199.264771 \nL 149.471222 153.213859 \nL 152.071021 78.44882 \nL 153.045946 55.386756 \nL 154.020871 37.24499 \nL 154.67082 28.417073 \nL 155.32077 22.478656 \nL 155.645745 20.644003 \nL 155.97072 19.583199 \nL 156.295695 19.303075 \nL 156.62067 19.805467 \nL 156.945645 21.087127 \nL 157.27062 23.139747 \nL 157.920569 29.499884 \nL 158.570519 38.721544 \nL 159.545444 57.379492 \nL 160.520368 80.842213 \nL 162.145243 126.836435 \nL 164.745042 201.66346 \nL 165.719966 224.793659 \nL 166.694891 243.022786 \nL 167.344841 251.917148 \nL 167.994791 257.926595 \nL 168.319765 259.797918 \nL 168.64474 260.895855 \nL 168.969715 261.213317 \nL 169.29469 260.748237 \nL 169.619665 259.503619 \nL 169.94464 257.487541 \nL 170.59459 251.198009 \nL 171.244539 242.042146 \nL 172.219464 223.470206 \nL 173.194389 200.073917 \nL 174.819263 154.137062 \nL 177.419062 79.249145 \nL 178.393987 56.051147 \nL 179.368911 37.734941 \nL 180.018861 28.774248 \nL 180.668811 22.693837 \nL 180.993786 20.785856 \nL 181.318761 19.6508 \nL 181.643735 19.296 \nL 181.96871 19.723755 \nL 182.293685 20.931304 \nL 182.61866 22.910841 \nL 183.26861 29.12969 \nL 183.91856 38.219627 \nL 184.893484 56.705278 \nL 185.868409 80.034788 \nL 187.493283 125.913604 \nL 190.093082 200.861306 \nL 191.068007 224.126751 \nL 192.042955 242.529728 \nL 192.69292 251.556481 \nL 193.342885 257.707562 \nL 193.667868 259.652033 \nL 193.992851 260.824042 \nL 194.317833 261.216 \nL 194.642816 260.825378 \nL 194.967799 259.654717 \nL 195.292781 257.711555 \nL 195.942746 251.563003 \nL 196.592712 242.538607 \nL 197.56766 224.138731 \nL 198.542607 200.875629 \nL 200.167521 155.054806 \nL 202.767382 80.049425 \nL 203.742329 56.718125 \nL 204.717277 38.230284 \nL 205.367243 29.138755 \nL 206.017208 22.918275 \nL 206.34219 20.937929 \nL 206.667173 19.729571 \nL 206.992156 19.301007 \nL 207.317138 19.655024 \nL 207.642121 20.789322 \nL 207.967104 22.696559 \nL 208.617069 28.775622 \nL 209.267034 37.73512 \nL 210.241982 56.049869 \nL 211.21693 79.246821 \nL 212.841843 125.009422 \nL 215.441704 200.071285 \nL 216.416652 223.468055 \nL 217.3916 242.040503 \nL 218.041565 251.196686 \nL 218.69153 257.486475 \nL 219.016513 259.502682 \nL 219.341496 260.747376 \nL 219.666478 261.212533 \nL 219.991461 260.895136 \nL 220.316443 259.797225 \nL 220.641426 257.925914 \nL 221.291391 251.916429 \nL 221.941357 243.02197 \nL 222.916304 224.792619 \nL 223.891252 201.662138 \nL 225.516165 155.958412 \nL 228.116026 80.841134 \nL 229.415957 50.566562 \nL 230.390905 33.767611 \nL 231.04087 25.952478 \nL 231.690835 21.090735 \nL 232.015818 19.809704 \nL 232.340801 19.307967 \nL 232.665783 19.588758 \nL 232.990766 20.650256 \nL 233.315749 22.485602 \nL 233.965714 28.425419 \nL 234.615679 37.254723 \nL 235.590627 55.398427 \nL 236.565575 78.462103 \nL 238.190488 124.106325 \nL 240.790349 199.277951 \nL 242.090279 229.643436 \nL 243.065227 246.531853 \nL 243.715193 254.413958 \nL 244.365158 259.346551 \nL 244.69014 260.66388 \nL 245.015123 261.20221 \nL 245.340106 260.958037 \nL 245.665088 259.932953 \nL 245.990071 258.133596 \nL 246.640036 252.263538 \nL 247.290001 243.499511 \nL 247.939967 232.06799 \nL 248.914915 210.582238 \nL 250.214845 175.843153 \nL 254.114637 65.441693 \nL 255.089585 44.891795 \nL 255.73955 34.202608 \nL 256.389515 26.253646 \nL 257.03948 21.250255 \nL 257.364463 19.896642 \nL 257.689446 19.321744 \nL 258.014428 19.529285 \nL 258.339411 20.51793 \nL 258.664393 22.281271 \nL 259.314359 28.081507 \nL 259.964324 36.780116 \nL 260.614289 48.152337 \nL 261.589237 69.563901 \nL 262.889168 104.238026 \nL 266.788959 214.716123 \nL 267.763907 235.343573 \nL 268.413872 246.093832 \nL 269.063838 254.109567 \nL 269.713803 259.183641 \nL 270.038785 260.573527 \nL 270.363768 261.184979 \nL 270.688751 261.014057 \nL 271.013733 260.061864 \nL 271.338716 258.334551 \nL 271.988681 252.60424 \nL 272.638646 243.971159 \nL 273.288612 232.658386 \nL 274.26356 211.321311 \nL 275.56349 176.712668 \nL 279.463282 66.159497 \nL 280.438229 45.454771 \nL 281.088195 34.643588 \nL 281.73816 26.561234 \nL 282.388125 21.416517 \nL 282.713108 19.990397 \nL 283.038091 19.342377 \nL 283.363073 19.47668 \nL 283.688056 20.392409 \nL 284.013038 22.083642 \nL 284.663004 27.743964 \nL 285.312969 36.311402 \nL 285.962934 47.564554 \nL 286.937882 68.826838 \nL 288.237813 103.369532 \nL 292.137604 213.996201 \nL 293.112552 234.777907 \nL 293.762517 245.649848 \nL 294.412482 253.798731 \nL 295.062448 259.014015 \nL 295.38743 260.476356 \nL 295.712413 261.160918 \nL 296.037396 261.063259 \nL 296.362378 260.183995 \nL 296.687361 258.528841 \nL 297.337326 252.938598 \nL 297.987291 244.436945 \nL 298.637257 233.243575 \nL 299.612204 212.056384 \nL 300.912135 177.580129 \nL 304.811927 66.881532 \nL 305.786874 46.023153 \nL 306.761822 30.628302 \nL 307.411788 23.855869 \nL 308.061753 20.090983 \nL 308.386735 19.369893 \nL 308.711718 19.430933 \nL 309.036701 20.273693 \nL 309.361683 21.892754 \nL 310.011649 27.412841 \nL 310.661614 35.848582 \nL 311.311579 46.982029 \nL 312.286527 68.093832 \nL 313.586457 102.503147 \nL 317.486249 213.272112 \nL 318.461197 234.20688 \nL 319.436145 249.69471 \nL 320.08611 256.535759 \nL 320.736075 260.372393 \nL 321.061042 261.130025 \nL 321.386025 261.105668 \nL 321.711008 260.299437 \nL 322.03599 258.716532 \nL 322.685956 253.266756 \nL 323.335921 244.897094 \nL 323.985886 233.823808 \nL 324.960834 212.787798 \nL 326.260764 178.445984 \nL 330.485539 60.070579 \nL 331.460486 40.74862 \nL 332.110452 31.01655 \nL 332.760417 24.106975 \nL 333.410382 20.198503 \nL 333.735365 19.404329 \nL 334.060347 19.392092 \nL 334.38533 20.161807 \nL 334.710313 21.70853 \nL 335.360278 27.088022 \nL 336.010243 35.391565 \nL 336.660209 46.404576 \nL 337.635156 67.3646 \nL 338.935087 101.638521 \nL 343.159861 220.104231 \nL 344.134809 239.508101 \nL 344.784774 249.30351 \nL 345.434739 256.281443 \nL 346.084705 260.261586 \nL 346.409687 261.092277 \nL 346.73467 261.14117 \nL 347.059653 260.407946 \nL 347.384635 258.897405 \nL 348.0346 253.588288 \nL 348.684566 245.351023 \nL 349.334531 234.398397 \nL 350.309479 213.51466 \nL 351.609409 179.309146 \nL 355.834184 60.754769 \nL 356.809131 41.269257 \nL 357.459097 31.410703 \nL 358.109062 24.364514 \nL 358.759027 20.3127 \nL 359.08401 19.445557 \nL 359.408992 19.360019 \nL 359.733975 20.056689 \nL 360.058958 21.53106 \nL 360.708923 26.769674 \nL 361.358888 34.940583 \nL 362.008853 45.832657 \nL 362.983801 66.639811 \nL 364.283732 100.77644 \nL 368.508506 219.417794 \nL 369.483454 238.984665 \nL 370.133419 248.906236 \nL 370.783384 256.02063 \nL 371.43335 260.144 \nL 371.758332 261.047646 \nL 372.083315 261.169777 \nL 372.408298 260.509662 \nL 372.73328 259.071524 \nL 373.383245 253.903413 \nL 374.033211 245.798981 \nL 374.683176 234.967659 \nL 375.658124 214.237382 \nL 376.958054 180.170104 \nL 381.182828 61.443491 \nL 382.157776 41.795531 \nL 382.807742 31.811045 \nL 383.457707 24.628588 \nL 384.107672 20.433727 \nL 384.432655 19.49359 \nL 384.757637 19.334802 \nL 385.08262 19.958401 \nL 385.407603 21.360279 \nL 385.732585 23.531422 \nL 385.732585 23.531422 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pcd9cf01d6a\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot\n",
-    "plt.plot(results_test_np[:,1], results_test_np[:,0])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/README.md b/examples/ode/README.md
index d5901d3e..2d88c0cd 100644
--- a/examples/ode/README.md
+++ b/examples/ode/README.md
@@ -6,11 +6,11 @@ Lorenz63:
 
 Parameters to estimate: $\sigma, \rho, \beta$
 
-Duffing equation:
+<!-- Duffing equation:
 
 ![alt text](https://wikimedia.org/api/rest_v1/media/math/render/svg/4881d84893e137772068573bb1218fc1e2b295cd)
 
-Parameters to estimate: $\alpha, \beta, \gamma, \delta, \omega$
+Parameters to estimate: $\alpha, \beta, \gamma, \delta, \omega$ -->
 
 SEIR:
 
diff --git a/examples/ode/SEIR/SEIRTest_fitRandomSample_RK4.ipynb b/examples/ode/SEIR/SEIRTest.ipynb
similarity index 68%
rename from examples/ode/SEIR/SEIRTest_fitRandomSample_RK4.ipynb
rename to examples/ode/SEIR/SEIRTest.ipynb
index ce2cdab2..3a2a1998 100644
--- a/examples/ode/SEIR/SEIRTest_fitRandomSample_RK4.ipynb
+++ b/examples/ode/SEIR/SEIRTest.ipynb
@@ -18,9 +18,9 @@
    "source": [
     "import torch\n",
     "from torchts.nn.models.ode import ODESolver\n",
+    "from torchts.utils.data import generate_ode_dataset\n",
     "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
+    "import matplotlib.pyplot as plt"
    ]
   },
   {
@@ -110,11 +110,19 @@
    "cell_type": "code",
    "execution_count": 6,
    "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_train, y_train = generate_ode_dataset(result, num_steps=5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:44:00.140406</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m6ee51dd236\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m6ee51dd236\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m504a38f8f0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m504a38f8f0\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m504a38f8f0\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m504a38f8f0\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m504a38f8f0\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m504a38f8f0\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pda8fc0d375)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pda8fc0d375)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pda8fc0d375)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pda8fc0d375)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pda8fc0d375\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -146,7 +154,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -158,19 +166,18 @@
     "    init_coeffs=ode_train_coeffs,\n",
     "    dt=dt,\n",
     "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
+    "    optimizer=torch.optim.Adam\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:44:02.789261</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m51db159c7b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m51db159c7b\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m9e3223636c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m9e3223636c\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m9e3223636c\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m9e3223636c\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m9e3223636c\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m9e3223636c\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pb0046de939)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pb0046de939)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pb0046de939)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pb0046de939)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb0046de939\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -196,127 +203,127 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "GPU available: False, used: False\n",
+      "TPU available: False, using: 0 TPU cores\n",
+      "IPU available: False, using: 0 IPUs\n",
+      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/configuration_validator.py:101: UserWarning: you defined a validation_step but have no val_dataloader. Skipping val loop\n",
+      "  rank_zero_warn(f\"you defined a {step_name} but have no {loader_name}. Skipping {stage} loop\")\n",
+      "\n",
+      "  | Name | Type | Params\n",
+      "------------------------------\n",
+      "------------------------------\n",
+      "3         Trainable params\n",
+      "0         Non-trainable params\n",
+      "3         Total params\n",
+      "0.000     Total estimated model params size (MB)\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch: 0\t Loss: tensor(4.6512e-08, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0285, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1122, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.0951, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(1.9836e-09, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0915, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1701, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1532, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(2.2087e-09, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0937, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1618, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1882, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(1.7804e-09, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0976, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1032, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1950, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(1.0666e-09, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0988, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0341, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1928, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(7.4269e-10, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0968, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0266, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1919, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(4.8762e-10, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0978, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0765, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1933, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(3.1817e-10, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0982, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1189, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1947, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(1.9109e-10, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0986, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1549, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1956, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(1.3207e-10, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0989, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1845, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1967, requires_grad=True)}\n",
-      "Epoch: 10\t Loss: tensor(8.2491e-11, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0992, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2096, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1975, requires_grad=True)}\n",
-      "Epoch: 11\t Loss: tensor(4.7386e-11, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0994, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2294, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1981, requires_grad=True)}\n",
-      "Epoch: 12\t Loss: tensor(2.6972e-11, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2457, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1986, requires_grad=True)}\n",
-      "Epoch: 13\t Loss: tensor(1.5624e-11, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2587, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1988, requires_grad=True)}\n",
-      "Epoch: 14\t Loss: tensor(9.4921e-12, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2688, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1991, requires_grad=True)}\n",
-      "Epoch: 15\t Loss: tensor(5.2422e-12, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2767, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 16\t Loss: tensor(3.0185e-12, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2827, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1995, requires_grad=True)}\n",
-      "Epoch: 17\t Loss: tensor(1.5602e-12, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2874, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1996, requires_grad=True)}\n",
-      "Epoch: 18\t Loss: tensor(8.0120e-13, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2909, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1997, requires_grad=True)}\n",
-      "Epoch: 19\t Loss: tensor(4.3072e-13, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2934, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1998, requires_grad=True)}\n"
+      "                                           "
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/data_loading.py:105: UserWarning: The dataloader, train dataloader, does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` (try 4 which is the number of cpus on this machine) in the `DataLoader` init to improve performance.\n",
+      "  rank_zero_warn(\n",
+      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/data_loading.py:322: UserWarning: The number of training samples (8) is smaller than the logging interval Trainer(log_every_n_steps=50). Set a lower value for log_every_n_steps if you want to see logs for the training epoch.\n",
+      "  rank_zero_warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 0:   0%|          | 0/8 [00:00<00:00, 210.98it/s]   "
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:219: UserWarning: Using a target size (torch.Size([128, 5, 4])) that is different to the input size (torch.Size([5, 4])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.\n",
+      "  return self.criterion(pred, y)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 0:  12%|█▎        | 1/8 [00:03<00:11,  1.71s/it, loss=0.0319, v_num=14, train_loss_step=0.0319]"
+     ]
+    },
+    {
+     "ename": "RuntimeError",
+     "evalue": "Trying to backward through the graph a second time, but the saved intermediate results have already been freed. Specify retain_graph=True when calling backward the first time.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-10-721dd271fa9d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;31m# )\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m ode_solver.fit(\n\u001b[0m\u001b[1;32m      8\u001b[0m     \u001b[0mx_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m )\n",
+      "\u001b[0;32m~/Documents/GitHub/torchTS/torchts/nn/model.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, x, y, max_epochs, batch_size)\u001b[0m\n\u001b[1;32m     57\u001b[0m         \u001b[0mloader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDataLoader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshuffle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     58\u001b[0m         \u001b[0mtrainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTrainer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax_epochs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmax_epochs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 59\u001b[0;31m         \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mloader\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     60\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     61\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mprepare_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, model, train_dataloaders, val_dataloaders, datamodule, train_dataloader)\u001b[0m\n\u001b[1;32m    551\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcheckpoint_connector\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresume_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    552\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 553\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    554\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    555\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstopped\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, model)\u001b[0m\n\u001b[1;32m    916\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    917\u001b[0m         \u001b[0;31m# dispatch `start_training` or `start_evaluating` or `start_predicting`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 918\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    919\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    920\u001b[0m         \u001b[0;31m# plugin will finalized fitting (e.g. ddp_spawn will load trained model)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_dispatch\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    984\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_predicting\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    985\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 986\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    987\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    988\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mrun_stage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36mstart_training\u001b[0;34m(self, trainer)\u001b[0m\n\u001b[1;32m     90\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     91\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 92\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     93\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     94\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_evaluating\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py\u001b[0m in \u001b[0;36mstart_training\u001b[0;34m(self, trainer)\u001b[0m\n\u001b[1;32m    159\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    160\u001b[0m         \u001b[0;31m# double dispatch to initiate the training loop\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 161\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_results\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_stage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    162\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_evaluating\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mrun_stage\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    994\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredicting\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    995\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_predict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 996\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_train\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    997\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    998\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_pre_training_routine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_run_train\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1043\u001b[0m             \u001b[0;31m# reset trainer on this loop and all child loops in case user connected a custom loop\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1044\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1045\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1046\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1047\u001b[0m             \u001b[0mrank_zero_warn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Detected KeyboardInterrupt, attempting graceful shutdown...\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    109\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 111\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    112\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    113\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/fit_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    198\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"run_training_epoch\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    199\u001b[0m             \u001b[0;31m# run train epoch\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 200\u001b[0;31m             \u001b[0mepoch_output\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mepoch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrain_dataloader\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    201\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    202\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mepoch_output\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    109\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 111\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    112\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    113\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/epoch/training_epoch_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, dataloader_iter, **kwargs)\u001b[0m\n\u001b[1;32m    128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"run_training_batch\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m             \u001b[0mbatch_output\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dataloader_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    131\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatches_seen\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, batch, batch_idx, dataloader_idx)\u001b[0m\n\u001b[1;32m     99\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mepoch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_progress\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mincrement_started\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    100\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 101\u001b[0;31m         \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdataloader_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    102\u001b[0m         \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAttributeDict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msignal\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtraining_step_output\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_outputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    103\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_outputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m  \u001b[0;31m# free memory\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    109\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 111\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    112\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    113\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, batch, batch_idx, dataloader_idx)\u001b[0m\n\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptim_progress\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_idx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 148\u001b[0;31m                 \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_optimization\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    149\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    150\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_outputs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mopt_idx\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_step_output\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36m_run_optimization\u001b[0;34m(self, batch_idx, split_batch, opt_idx, optimizer)\u001b[0m\n\u001b[1;32m    200\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    201\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautomatic_optimization\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 202\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    203\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    204\u001b[0m                 \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_training_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_hiddens\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36m_optimizer_step\u001b[0;34m(self, optimizer, opt_idx, batch_idx, train_step_and_backward_closure)\u001b[0m\n\u001b[1;32m    394\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    395\u001b[0m         \u001b[0;31m# model hook\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 396\u001b[0;31m         model_ref.optimizer_step(\n\u001b[0m\u001b[1;32m    397\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcurrent_epoch\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    398\u001b[0m             \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/lightning.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, epoch, batch_idx, optimizer, optimizer_idx, optimizer_closure, on_tpu, using_native_amp, using_lbfgs)\u001b[0m\n\u001b[1;32m   1616\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1617\u001b[0m         \"\"\"\n\u001b[0;32m-> 1618\u001b[0;31m         \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moptimizer_closure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1619\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1620\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_zero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepoch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/optimizer.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self, closure, *args, **kwargs)\u001b[0m\n\u001b[1;32m    207\u001b[0m             \u001b[0mprofiler_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34mf\"optimizer_step_and_closure_{self._optimizer_idx}\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    208\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 209\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprofiler_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mprofiler_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    210\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_total_optimizer_step_calls\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    211\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/optimizer.py\u001b[0m in \u001b[0;36m__optimizer_step\u001b[0;34m(self, closure, profiler_name, **kwargs)\u001b[0m\n\u001b[1;32m    127\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    128\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprofiler_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 129\u001b[0;31m             \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    130\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    131\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mCallable\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, optimizer, opt_idx, lambda_closure, **kwargs)\u001b[0m\n\u001b[1;32m    294\u001b[0m         )\n\u001b[1;32m    295\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmake_optimizer_step\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 296\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    297\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpost_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    298\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpost_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36mrun_optimizer_step\u001b[0;34m(self, optimizer, optimizer_idx, lambda_closure, **kwargs)\u001b[0m\n\u001b[1;32m    301\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mCallable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    302\u001b[0m     ) -> None:\n\u001b[0;32m--> 303\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlambda_closure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    304\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    305\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_zero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcurrent_epoch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, optimizer, lambda_closure, **kwargs)\u001b[0m\n\u001b[1;32m    224\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    225\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mCallable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 226\u001b[0;31m         \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlambda_closure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    227\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    228\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/autograd/grad_mode.py\u001b[0m in \u001b[0;36mdecorate_context\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     24\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mdecorate_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     25\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 26\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     27\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mcast\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mF\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdecorate_context\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/optim/adam.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self, closure)\u001b[0m\n\u001b[1;32m     64\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mclosure\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     65\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menable_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 66\u001b[0;31m                 \u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     67\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     68\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mgroup\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparam_groups\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36m_training_step_and_backward_closure\u001b[0;34m(self, split_batch, batch_idx, opt_idx, optimizer, hiddens, return_result)\u001b[0m\n\u001b[1;32m    234\u001b[0m         \"\"\"\n\u001b[1;32m    235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 236\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_step_and_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhiddens\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    237\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    238\u001b[0m             \u001b[0mreturn_result\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36mtraining_step_and_backward\u001b[0;34m(self, split_batch, batch_idx, opt_idx, optimizer, hiddens)\u001b[0m\n\u001b[1;32m    547\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    548\u001b[0m                     \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"backward\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 549\u001b[0;31m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    550\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    551\u001b[0m                     \u001b[0;31m# when in dev debugging track the losses\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, result, optimizer, *args, **kwargs)\u001b[0m\n\u001b[1;32m    588\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    589\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 590\u001b[0;31m             \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    591\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    592\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshould_accumulate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, closure_loss, *args, **kwargs)\u001b[0m\n\u001b[1;32m    274\u001b[0m         \u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpre_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    275\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 276\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    277\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    278\u001b[0m         \u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpost_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/precision_plugin.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, model, closure_loss, optimizer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     76\u001b[0m         \u001b[0;31m# do backward pass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     77\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLightningModule\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 78\u001b[0;31m             \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     79\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m             \u001b[0mclosure_loss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/lightning.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, loss, optimizer, optimizer_idx, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1479\u001b[0m                 \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1480\u001b[0m         \"\"\"\n\u001b[0;32m-> 1481\u001b[0;31m         \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1482\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1483\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtoggle_optimizer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/tensor.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, gradient, retain_graph, create_graph)\u001b[0m\n\u001b[1;32m    219\u001b[0m                 \u001b[0mretain_graph\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    220\u001b[0m                 create_graph=create_graph)\n\u001b[0;32m--> 221\u001b[0;31m         \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautograd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgradient\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    222\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    223\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mregister_hook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/autograd/__init__.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(tensors, grad_tensors, retain_graph, create_graph, grad_variables)\u001b[0m\n\u001b[1;32m    128\u001b[0m         \u001b[0mretain_graph\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m     Variable._execution_engine.run_backward(\n\u001b[0m\u001b[1;32m    131\u001b[0m         \u001b[0mtensors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgrad_tensors_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m         allow_unreachable=True)  # allow_unreachable flag\n",
+      "\u001b[0;31mRuntimeError\u001b[0m: Trying to backward through the graph a second time, but the saved intermediate results have already been freed. Specify retain_graph=True when calling backward the first time."
      ]
     }
    ],
    "source": [
-    "ode_solver.fit_random_sample(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.01},\n",
-    "    max_epochs=20\n",
+    "# ode_solver.fit(\n",
+    "#     result,torch.optim.Adam,\n",
+    "#     {\"lr\": 0.01},\n",
+    "#     max_epochs=20\n",
+    "# )\n",
+    "\n",
+    "ode_solver.fit(\n",
+    "    x_train, y_train\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -345,7 +352,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -373,7 +380,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -404,7 +411,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -422,7 +429,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -440,7 +447,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -458,7 +465,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -480,7 +487,7 @@
  ],
  "metadata": {
   "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+   "hash": "451aa0df4a570cd656587110b6aa2986586cee19fad7a1827a6dda4238079d81"
   },
   "kernelspec": {
    "display_name": "Python 3.9.6 64-bit ('torchTS': conda)",
diff --git a/examples/ode/SEIR/SEIRTest_fit.ipynb b/examples/ode/SEIR/SEIRTest_fit.ipynb
deleted file mode 100644
index 8dd0491c..00000000
--- a/examples/ode/SEIR/SEIRTest_fit.ipynb
+++ /dev/null
@@ -1,802 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Rossler Attractor equations\n",
-    "dt = 0.01\n",
-    "\n",
-    "def s_prime(prev_val, coeffs):\n",
-    "    return - coeffs[\"g1\"]*prev_val[\"s\"]*prev_val[\"i\"]\n",
-    "\n",
-    "def e_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"g1\"]*prev_val[\"s\"]*prev_val[\"i\"] - coeffs[\"g2\"]*prev_val[\"e\"]\n",
-    "\n",
-    "def i_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"g2\"]*prev_val[\"e\"] - coeffs[\"a\"]*prev_val[\"i\"]\n",
-    "\n",
-    "def r_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"a\"]*prev_val[\"i\"]\n",
-    "\n",
-    "ode = {\"s\": s_prime, \"e\": e_prime, \"i\": i_prime, \"r\": r_prime}\n",
-    "\n",
-    "# Initial conditions [0,0,0]\n",
-    "ode_init = {\"s\": 0.1, \"e\": 0.9, \"i\": 0, \"r\": 0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"a\": 0.1, \"g1\": 0.3, \"g2\": 0.2}\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=torch.optim.SGD,\n",
-    "    optimizer_args={\"lr\": 0.01}\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9820e-01, 1.7973e-03, 8.9910e-07],\n",
-       "        [9.9999e-02, 8.9641e-01, 3.5892e-03, 3.5928e-06],\n",
-       "        ...,\n",
-       "        [3.3031e-02, 1.5079e-01, 4.4694e-01, 3.6924e-01],\n",
-       "        [3.2987e-02, 1.5053e-01, 4.4679e-01, 3.6969e-01],\n",
-       "        [3.2943e-02, 1.5028e-01, 4.4664e-01, 3.7014e-01]],\n",
-       "       grad_fn=<StackBackward>)"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:38.503386</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"md91c20dadd\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#md91c20dadd\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m6a5bde0d64\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m6a5bde0d64\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m6a5bde0d64\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m6a5bde0d64\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m6a5bde0d64\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m6a5bde0d64\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pdffc33c2db)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pdffc33c2db)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pdffc33c2db)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pdffc33c2db)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pdffc33c2db\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plots\n",
-    "plt.plot(result_np[:,0])\n",
-    "plt.plot(result_np[:,1])\n",
-    "plt.plot(result_np[:,2])\n",
-    "plt.plot(result_np[:,3])\n",
-    "\n",
-    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Euler's method for training"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"a\": 0., \"g1\": 0., \"g2\": 0.}\n",
-    "\n",
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:41.984380</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m4852ce8f70\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m4852ce8f70\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mcba58ca105\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mcba58ca105\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mcba58ca105\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mcba58ca105\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mcba58ca105\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mcba58ca105\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#pb0476d7ad4)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pb0476d7ad4)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pb0476d7ad4)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pb0476d7ad4)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb0476d7ad4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "results_test = ode_solver(1000)\n",
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plots\n",
-    "plt.plot(results_test_np[:,0])\n",
-    "plt.plot(results_test_np[:,1])\n",
-    "plt.plot(results_test_np[:,2])\n",
-    "plt.plot(results_test_np[:,3])\n",
-    "\n",
-    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "tags": [
-     "outputPrepend"
-    ]
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      ")}\n",
-      "Epoch: 21\t Loss: tensor(0.0034, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1143, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1473, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1536, requires_grad=True)}\n",
-      "Epoch: 22\t Loss: tensor(0.0032, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1172, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1450, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1571, requires_grad=True)}\n",
-      "Epoch: 23\t Loss: tensor(0.0030, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1191, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1417, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1605, requires_grad=True)}\n",
-      "Epoch: 24\t Loss: tensor(0.0028, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1200, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1374, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1636, requires_grad=True)}\n",
-      "Epoch: 25\t Loss: tensor(0.0027, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1199, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1322, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1665, requires_grad=True)}\n",
-      "Epoch: 26\t Loss: tensor(0.0025, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1190, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1262, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1692, requires_grad=True)}\n",
-      "Epoch: 27\t Loss: tensor(0.0023, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1173, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1196, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1717, requires_grad=True)}\n",
-      "Epoch: 28\t Loss: tensor(0.0021, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1149, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1124, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1740, requires_grad=True)}\n",
-      "Epoch: 29\t Loss: tensor(0.0019, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1121, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1046, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1762, requires_grad=True)}\n",
-      "Epoch: 30\t Loss: tensor(0.0017, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1088, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0965, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1782, requires_grad=True)}\n",
-      "Epoch: 31\t Loss: tensor(0.0015, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1053, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0880, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1800, requires_grad=True)}\n",
-      "Epoch: 32\t Loss: tensor(0.0013, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1016, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0792, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1817, requires_grad=True)}\n",
-      "Epoch: 33\t Loss: tensor(0.0011, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0980, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0702, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1833, requires_grad=True)}\n",
-      "Epoch: 34\t Loss: tensor(0.0010, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0946, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0610, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1848, requires_grad=True)}\n",
-      "Epoch: 35\t Loss: tensor(0.0009, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0915, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0517, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1861, requires_grad=True)}\n",
-      "Epoch: 36\t Loss: tensor(0.0009, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0889, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0423, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1874, requires_grad=True)}\n",
-      "Epoch: 37\t Loss: tensor(0.0008, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0868, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0330, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1885, requires_grad=True)}\n",
-      "Epoch: 38\t Loss: tensor(0.0008, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0854, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0237, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1896, requires_grad=True)}\n",
-      "Epoch: 39\t Loss: tensor(0.0008, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0847, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0145, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1905, requires_grad=True)}\n",
-      "Epoch: 40\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0848, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0054, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1914, requires_grad=True)}\n",
-      "Epoch: 41\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0854, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0036, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1922, requires_grad=True)}\n",
-      "Epoch: 42\t Loss: tensor(0.0006, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0867, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0124, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1929, requires_grad=True)}\n",
-      "Epoch: 43\t Loss: tensor(0.0006, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0883, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0211, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1936, requires_grad=True)}\n",
-      "Epoch: 44\t Loss: tensor(0.0005, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0903, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0295, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1942, requires_grad=True)}\n",
-      "Epoch: 45\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0925, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0378, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1947, requires_grad=True)}\n",
-      "Epoch: 46\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0947, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0458, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1952, requires_grad=True)}\n",
-      "Epoch: 47\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0968, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0537, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1957, requires_grad=True)}\n",
-      "Epoch: 48\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0988, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0614, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1961, requires_grad=True)}\n",
-      "Epoch: 49\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1004, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0688, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1965, requires_grad=True)}\n",
-      "Epoch: 50\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1018, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0761, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1968, requires_grad=True)}\n",
-      "Epoch: 51\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1027, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0832, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1971, requires_grad=True)}\n",
-      "Epoch: 52\t Loss: tensor(0.0003, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1032, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0901, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1974, requires_grad=True)}\n",
-      "Epoch: 53\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1034, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0967, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1977, requires_grad=True)}\n",
-      "Epoch: 54\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1032, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1032, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1979, requires_grad=True)}\n",
-      "Epoch: 55\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1026, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1095, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1981, requires_grad=True)}\n",
-      "Epoch: 56\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1019, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1156, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1983, requires_grad=True)}\n",
-      "Epoch: 57\t Loss: tensor(0.0002, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1009, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1215, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1984, requires_grad=True)}\n",
-      "Epoch: 58\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1271, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1986, requires_grad=True)}\n",
-      "Epoch: 59\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0988, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1326, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1987, requires_grad=True)}\n",
-      "Epoch: 60\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0978, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1379, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1988, requires_grad=True)}\n",
-      "Epoch: 61\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0969, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1430, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1989, requires_grad=True)}\n",
-      "Epoch: 62\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0961, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1478, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1990, requires_grad=True)}\n",
-      "Epoch: 63\t Loss: tensor(9.8452e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0956, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1525, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1991, requires_grad=True)}\n",
-      "Epoch: 64\t Loss: tensor(9.4771e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0953, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1570, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1991, requires_grad=True)}\n",
-      "Epoch: 65\t Loss: tensor(9.0765e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0953, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1613, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 66\t Loss: tensor(8.5824e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0955, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1654, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 67\t Loss: tensor(7.9839e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0959, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1694, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 68\t Loss: tensor(7.3129e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0964, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1731, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 69\t Loss: tensor(6.6275e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0971, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1768, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 70\t Loss: tensor(5.9903e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0978, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1803, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 71\t Loss: tensor(5.4491e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0985, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1836, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 72\t Loss: tensor(5.0263e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0991, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1869, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 73\t Loss: tensor(4.7162e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1900, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 74\t Loss: tensor(4.4913e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1001, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1930, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 75\t Loss: tensor(4.3131e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1005, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1959, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 76\t Loss: tensor(4.1439e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1006, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1987, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 77\t Loss: tensor(3.9557e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1007, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2014, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 78\t Loss: tensor(3.7362e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1006, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2040, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 79\t Loss: tensor(3.4885e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1004, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2066, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 80\t Loss: tensor(3.2275e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1001, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2090, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 81\t Loss: tensor(2.9732e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2114, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 82\t Loss: tensor(2.7447e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0994, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2137, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 83\t Loss: tensor(2.5542e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0990, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2159, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 84\t Loss: tensor(2.4042e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0987, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2180, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 85\t Loss: tensor(2.2885e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0985, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2201, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 86\t Loss: tensor(2.1950e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0983, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2221, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 87\t Loss: tensor(2.1096e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0982, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2240, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 88\t Loss: tensor(2.0207e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0982, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2258, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 89\t Loss: tensor(1.9222e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0983, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2276, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 90\t Loss: tensor(1.8142e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0985, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2293, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 91\t Loss: tensor(1.7018e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0987, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2310, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 92\t Loss: tensor(1.5921e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0989, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2326, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1992, requires_grad=True)}\n",
-      "Epoch: 93\t Loss: tensor(1.4923e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0992, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2341, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1991, requires_grad=True)}\n",
-      "Epoch: 94\t Loss: tensor(1.4067e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0994, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2356, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1991, requires_grad=True)}\n",
-      "Epoch: 95\t Loss: tensor(1.3362e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2371, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1991, requires_grad=True)}\n",
-      "Epoch: 96\t Loss: tensor(1.2777e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2385, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1991, requires_grad=True)}\n",
-      "Epoch: 97\t Loss: tensor(1.2273e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2399, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1991, requires_grad=True)}\n",
-      "Epoch: 98\t Loss: tensor(1.1794e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1000, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2412, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1991, requires_grad=True)}\n",
-      "Epoch: 99\t Loss: tensor(1.1305e-05, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.1000, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2426, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1991, requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver.fit(result,torch.optim.Adam, {\"lr\": 0.01}, max_epochs=100)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'a': 0.09996917098760605,\n",
-       " 'g1': 0.24255302548408508,\n",
-       " 'g2': 0.19910137355327606}"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ode_solver.get_coeffs()\n",
-    "\n",
-    "# \"a\" and \"g2\" differ by at most 0.01. \"g1\" differs by 0.06."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Predictions for nt = 10000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9821e-01, 1.7919e-03, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9642e-01, 3.5785e-03, 1.7914e-06],\n",
-       "        ...,\n",
-       "        [9.0271e-03, 2.9410e-06, 1.3851e-04, 9.9083e-01],\n",
-       "        [9.0271e-03, 2.9381e-06, 1.3838e-04, 9.9083e-01],\n",
-       "        [9.0271e-03, 2.9353e-06, 1.3825e-04, 9.9083e-01]],\n",
-       "       grad_fn=<StackBackward>)"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "results_test = ode_solver(10000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:34:58.731792</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m915c578356\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.273255\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2000 -->\n      <g transform=\"translate(98.548255 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.210658\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4000 -->\n      <g transform=\"translate(163.485658 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.148061\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6000 -->\n      <g transform=\"translate(228.423061 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.085464\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8000 -->\n      <g transform=\"translate(293.360464 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.022866\" xlink:href=\"#m915c578356\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10000 -->\n      <g transform=\"translate(355.116616 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"254.492188\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m332be684cb\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"212.384307\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 216.183525)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"163.552613\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 167.351832)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"114.72092\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 118.520139)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"65.889227\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 69.688446)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m332be684cb\" y=\"17.057534\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 20.856752)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p163d4934a0)\" d=\"M 46.335852 236.800153 \nL 47.861881 236.909622 \nL 49.517785 237.254764 \nL 51.40097 237.879245 \nL 53.673779 238.877844 \nL 56.693368 240.46573 \nL 69.583442 247.52095 \nL 73.479687 249.250621 \nL 77.375931 250.737152 \nL 81.434519 252.045748 \nL 85.752856 253.202249 \nL 90.460817 254.230145 \nL 95.720747 255.146032 \nL 101.694988 255.954605 \nL 108.64329 256.663524 \nL 116.922809 257.276536 \nL 127.053044 257.795145 \nL 139.975587 258.223366 \nL 157.216468 258.559214 \nL 181.957618 258.801872 \nL 222.283745 258.950044 \nL 312.93636 259.008456 \nL 370.990398 259.011966 \nL 370.990398 259.011966 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p163d4934a0)\" d=\"M 46.335852 41.473386 \nL 48.186568 64.916503 \nL 50.037284 85.573117 \nL 51.888 103.800039 \nL 53.771185 120.177743 \nL 55.65437 134.655366 \nL 57.570023 147.691335 \nL 59.518145 159.430728 \nL 61.466267 169.841718 \nL 63.446858 179.24228 \nL 65.459917 187.731447 \nL 67.505446 195.397658 \nL 69.550974 202.217839 \nL 71.628971 208.386879 \nL 73.739436 213.964079 \nL 75.882371 219.002724 \nL 78.057774 223.550967 \nL 80.265645 227.652367 \nL 82.505986 231.346595 \nL 84.778795 234.669853 \nL 87.116541 237.694765 \nL 89.486756 240.403025 \nL 91.954378 242.885354 \nL 94.486936 245.119434 \nL 97.116901 247.145856 \nL 99.876741 248.992735 \nL 102.798924 250.67868 \nL 105.883451 252.200428 \nL 109.195258 253.583984 \nL 112.766815 254.832095 \nL 116.66306 255.954605 \nL 120.948928 256.954764 \nL 125.754296 257.843175 \nL 131.209038 258.619974 \nL 137.540435 259.289976 \nL 145.040705 259.852741 \nL 154.261816 260.313033 \nL 166.177829 260.673794 \nL 182.769336 260.937966 \nL 209.036515 261.110248 \nL 262.707279 261.197611 \nL 370.990398 261.215283 \nL 370.990398 261.215283 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p163d4934a0)\" d=\"M 46.335852 261.216 \nL 47.926819 241.258403 \nL 49.485316 224.415854 \nL 51.043814 209.947621 \nL 52.569843 197.821879 \nL 54.063403 187.691499 \nL 55.524495 179.262247 \nL 56.953118 172.284174 \nL 58.349272 166.54461 \nL 59.712957 161.862342 \nL 61.011705 158.16606 \nL 62.277985 155.208334 \nL 63.511795 152.881211 \nL 64.680669 151.134453 \nL 65.817073 149.824423 \nL 66.921009 148.885778 \nL 67.992476 148.26203 \nL 69.063943 147.896809 \nL 70.13541 147.767644 \nL 71.239346 147.859531 \nL 72.40822 148.18252 \nL 73.674499 148.768299 \nL 75.070653 149.667193 \nL 76.629151 150.945163 \nL 78.382461 152.680016 \nL 80.39552 154.995395 \nL 82.765735 158.076122 \nL 85.622981 162.171374 \nL 89.356882 167.937395 \nL 95.948028 178.605573 \nL 103.15608 190.127697 \nL 108.026385 197.491941 \nL 112.344722 203.626826 \nL 116.435779 209.056465 \nL 120.364492 213.905085 \nL 124.228267 218.321899 \nL 128.027105 222.329997 \nL 131.825943 226.017074 \nL 135.624781 229.397273 \nL 139.456088 232.512265 \nL 143.352332 235.395836 \nL 147.345982 238.074665 \nL 151.437039 240.550452 \nL 155.65797 242.843812 \nL 160.008776 244.955157 \nL 164.554394 246.913614 \nL 169.327293 248.726142 \nL 174.359942 250.397036 \nL 179.684809 251.928798 \nL 185.366832 253.330323 \nL 191.503416 254.611871 \nL 198.1595 255.771195 \nL 205.464958 256.813657 \nL 213.549665 257.738586 \nL 222.640901 258.550404 \nL 233.063354 259.252005 \nL 245.239117 259.842323 \nL 259.947439 260.324655 \nL 278.487067 260.699607 \nL 303.487967 260.968834 \nL 341.67116 261.135842 \nL 370.990398 261.182246 \nL 370.990398 261.182246 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p163d4934a0)\" d=\"M 46.335852 261.216 \nL 47.082632 261.107632 \nL 47.861881 260.763839 \nL 48.706067 260.144506 \nL 49.680129 259.136074 \nL 50.784064 257.646865 \nL 52.017875 255.592058 \nL 53.446498 252.759635 \nL 55.102402 248.953544 \nL 57.018055 243.967293 \nL 59.290864 237.406088 \nL 62.115641 228.529952 \nL 65.882011 215.900971 \nL 82.343642 159.800214 \nL 86.467167 146.999246 \nL 90.298474 135.813085 \nL 93.967437 125.77706 \nL 97.506526 116.734843 \nL 100.948208 108.539959 \nL 104.324953 101.061518 \nL 107.669229 94.18605 \nL 110.981037 87.877218 \nL 114.292844 82.04239 \nL 117.604652 76.656682 \nL 120.916459 71.694102 \nL 124.228267 67.128628 \nL 127.572543 62.894876 \nL 130.949288 58.977316 \nL 134.358502 55.360071 \nL 137.832653 51.996601 \nL 141.371741 48.878727 \nL 144.975767 45.997252 \nL 148.677199 43.319693 \nL 152.508506 40.821951 \nL 156.469687 38.504724 \nL 160.593213 36.350534 \nL 164.879081 34.361505 \nL 169.424699 32.49983 \nL 174.16513 30.79866 \nL 179.230247 29.218599 \nL 184.65252 27.763403 \nL 190.464418 26.436652 \nL 196.730877 25.235216 \nL 203.614242 24.144587 \nL 211.244387 23.165462 \nL 219.686249 22.308219 \nL 229.264516 21.560443 \nL 240.401281 20.9179 \nL 253.583573 20.384781 \nL 269.817924 19.957462 \nL 290.760237 19.636525 \nL 320.079474 19.418987 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_17\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_18\"/>\n    <g id=\"text_13\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_19\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_20\"/>\n    <g id=\"text_14\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_21\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_22\"/>\n    <g id=\"text_15\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_23\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_24\"/>\n    <g id=\"text_16\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p163d4934a0\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plots\n",
-    "plt.plot(results_test_np[:,0])\n",
-    "plt.plot(results_test_np[:,1])\n",
-    "plt.plot(results_test_np[:,2])\n",
-    "plt.plot(results_test_np[:,3])\n",
-    "\n",
-    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import scipy.io\n",
-    "\n",
-    "scipy.io.savemat(\"SEIR_fit.mat\", {\"x\": results_test_np})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Mean Squared Error Loss"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs={\"a\": 0.1, \"g1\": 0.3, \"g2\": 0.2},\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result_train = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs={\"a\": 0.09996917098760605, \"g1\": 0.24255302548408508, \"g2\": 0.19910137355327606},\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result_test = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor(1.0925e-05, grad_fn=<MseLossBackward>)"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "loss = torch.nn.MSELoss()\n",
-    "loss(result_train,result_test)"
-   ]
-  }
- ],
- "metadata": {
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  },
-  "kernelspec": {
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb b/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
deleted file mode 100644
index e4a625f4..00000000
--- a/examples/ode/SEIR/SEIRTest_fitRandomSample.ipynb
+++ /dev/null
@@ -1,441 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Rossler Attractor equations\n",
-    "dt = 0.01\n",
-    "\n",
-    "def s_prime(prev_val, coeffs):\n",
-    "    return - coeffs[\"g1\"]*prev_val[\"s\"]*prev_val[\"i\"]\n",
-    "\n",
-    "def e_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"g1\"]*prev_val[\"s\"]*prev_val[\"i\"] - coeffs[\"g2\"]*prev_val[\"e\"]\n",
-    "\n",
-    "def i_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"g2\"]*prev_val[\"e\"] - coeffs[\"a\"]*prev_val[\"i\"]\n",
-    "\n",
-    "def r_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"a\"]*prev_val[\"i\"]\n",
-    "\n",
-    "ode = {\"s\": s_prime, \"e\": e_prime, \"i\": i_prime, \"r\": r_prime}\n",
-    "\n",
-    "# Initial conditions [0,0,0]\n",
-    "ode_init = {\"s\": 0.1, \"e\": 0.9, \"i\": 0, \"r\": 0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"a\": 0.1, \"g1\": 0.3, \"g2\": 0.2}\n"
-   ]
-  },
-  {
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=torch.optim.SGD,\n",
-    "    optimizer_args={\"lr\": 0.01}\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9820e-01, 1.7973e-03, 8.9910e-07],\n",
-       "        [9.9999e-02, 8.9641e-01, 3.5892e-03, 3.5928e-06],\n",
-       "        ...,\n",
-       "        [3.3031e-02, 1.5079e-01, 4.4694e-01, 3.6924e-01],\n",
-       "        [3.2987e-02, 1.5053e-01, 4.4679e-01, 3.6969e-01],\n",
-       "        [3.2943e-02, 1.5028e-01, 4.4664e-01, 3.7014e-01]],\n",
-       "       grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 5
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:42.013360</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m62669ac1fa\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m62669ac1fa\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m62669ac1fa\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m62669ac1fa\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m62669ac1fa\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m62669ac1fa\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m62669ac1fa\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m7a2aaad3a0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m7a2aaad3a0\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m7a2aaad3a0\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m7a2aaad3a0\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m7a2aaad3a0\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m7a2aaad3a0\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p018aeadb99)\" d=\"M 46.335852 234.335999 \nL 59.335033 234.447358 \nL 73.309153 234.79265 \nL 88.583191 235.394026 \nL 106.132085 236.31278 \nL 127.255754 237.649473 \nL 157.15387 239.785712 \nL 230.599243 245.108689 \nL 262.772216 247.168234 \nL 293.645271 248.920133 \nL 324.518326 250.449254 \nL 356.691299 251.819459 \nL 370.990398 252.361052 \nL 370.990398 252.361052 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p018aeadb99)\" d=\"M 46.335852 19.296 \nL 52.510463 28.291111 \nL 58.685074 36.902454 \nL 64.859685 45.147364 \nL 71.359276 53.448943 \nL 77.858866 61.38215 \nL 84.358457 68.965186 \nL 90.858047 76.215403 \nL 97.682617 83.488082 \nL 104.507187 90.430602 \nL 111.331757 97.060409 \nL 118.481307 103.688535 \nL 125.630856 110.009523 \nL 132.780406 116.040487 \nL 140.254935 122.052688 \nL 147.729464 127.782451 \nL 155.528973 133.477567 \nL 163.328481 138.899705 \nL 171.452969 144.274618 \nL 179.577458 149.387336 \nL 188.026925 154.443121 \nL 196.801372 159.428314 \nL 205.57582 164.160083 \nL 214.675246 168.815974 \nL 224.099652 173.385363 \nL 233.849038 177.858774 \nL 243.598424 182.090689 \nL 253.672789 186.226137 \nL 264.072134 190.257909 \nL 274.796458 194.17968 \nL 285.845762 197.985946 \nL 297.220046 201.672066 \nL 308.919308 205.234164 \nL 321.26853 208.758821 \nL 333.942732 212.142193 \nL 346.941913 215.383221 \nL 360.591053 218.554366 \nL 370.990398 220.821536 \nL 370.990398 220.821536 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p018aeadb99)\" d=\"M 46.335852 261.216 \nL 51.860504 253.197485 \nL 57.385156 245.580824 \nL 62.909808 238.349055 \nL 68.43446 231.485904 \nL 73.959112 224.975778 \nL 79.483764 218.80376 \nL 85.008416 212.955536 \nL 90.533068 207.417401 \nL 96.382699 201.876911 \nL 102.232331 196.654477 \nL 108.081962 191.735874 \nL 113.931593 187.107557 \nL 119.781225 182.756528 \nL 125.630856 178.670434 \nL 131.805467 174.631709 \nL 137.980078 170.861756 \nL 144.154689 167.347935 \nL 150.65428 163.912676 \nL 157.15387 160.734557 \nL 163.653461 157.800883 \nL 170.478031 154.970372 \nL 177.302601 152.382799 \nL 184.127171 150.025546 \nL 191.27672 147.790066 \nL 198.42627 145.781221 \nL 205.900799 143.909932 \nL 213.700308 142.192554 \nL 221.499816 140.70126 \nL 229.624304 139.373643 \nL 238.073772 138.222034 \nL 246.848219 137.257213 \nL 255.947646 136.488322 \nL 265.372052 135.922899 \nL 275.121438 135.566808 \nL 285.195803 135.424255 \nL 295.595148 135.497851 \nL 306.644452 135.800638 \nL 318.343715 136.350247 \nL 330.692937 137.160618 \nL 343.692118 138.241772 \nL 357.341258 139.599758 \nL 370.990398 141.157863 \nL 370.990398 141.157863 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p018aeadb99)\" d=\"M 46.335852 261.216 \nL 53.485402 261.101451 \nL 60.634951 260.767689 \nL 68.10948 260.199794 \nL 75.908989 259.384913 \nL 84.033477 258.312113 \nL 92.482945 256.972451 \nL 101.257392 255.359026 \nL 110.681798 253.395544 \nL 120.431184 251.136167 \nL 130.830529 248.495778 \nL 141.879833 245.45778 \nL 153.579096 242.010619 \nL 166.253297 238.043555 \nL 180.227417 233.430509 \nL 195.501454 228.150352 \nL 213.050349 221.839541 \nL 233.524059 214.231295 \nL 259.8474 204.198596 \nL 358.966155 166.191815 \nL 370.990398 161.723667 \nL 370.990398 161.723667 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 73.9125 \nL 380.223125 73.9125 \nQ 382.223125 73.9125 382.223125 71.9125 \nL 382.223125 14.2 \nQ 382.223125 12.2 380.223125 12.2 \nL 341.274688 12.2 \nQ 339.274688 12.2 339.274688 14.2 \nL 339.274688 71.9125 \nQ 339.274688 73.9125 341.274688 73.9125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 20.298437 \nL 363.274688 20.298437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 34.976562 \nL 363.274688 34.976562 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 49.654687 \nL 363.274688 49.654687 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 64.332812 \nL 363.274688 64.332812 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p018aeadb99\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plots\n",
-    "plt.plot(result_np[:,0])\n",
-    "plt.plot(result_np[:,1])\n",
-    "plt.plot(result_np[:,2])\n",
-    "plt.plot(result_np[:,3])\n",
-    "\n",
-    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"a\": 0., \"g1\": 0., \"g2\": 0.}\n",
-    "\n",
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:45.067907</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m155ea4fa32\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m155ea4fa32\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.331757\" xlink:href=\"#m155ea4fa32\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 200 -->\n      <g transform=\"translate(101.788007 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.327662\" xlink:href=\"#m155ea4fa32\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 400 -->\n      <g transform=\"translate(166.783912 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.323567\" xlink:href=\"#m155ea4fa32\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 600 -->\n      <g transform=\"translate(231.779817 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.319472\" xlink:href=\"#m155ea4fa32\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 800 -->\n      <g transform=\"translate(296.775722 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.315377\" xlink:href=\"#m155ea4fa32\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 1000 -->\n      <g transform=\"translate(358.590377 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mac608b5a09\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mac608b5a09\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mac608b5a09\" y=\"207.455999\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 211.255217)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mac608b5a09\" y=\"153.695997\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 157.495216)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mac608b5a09\" y=\"99.935996\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 103.735214)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#mac608b5a09\" y=\"46.175994\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 49.975213)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p2d0c38f3bb)\" d=\"M 46.335852 234.335999 \nL 370.990398 234.335999 \nL 370.990398 234.335999 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p2d0c38f3bb)\" d=\"M 46.335852 19.296 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p2d0c38f3bb)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p2d0c38f3bb)\" d=\"M 46.335852 261.216 \nL 370.990398 261.216 \nL 370.990398 261.216 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_16\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_17\"/>\n    <g id=\"text_12\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_18\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_19\"/>\n    <g id=\"text_13\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_20\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_21\"/>\n    <g id=\"text_14\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_22\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_23\"/>\n    <g id=\"text_15\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p2d0c38f3bb\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test = ode_solver(1000)\n",
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plots\n",
-    "plt.plot(results_test_np[:,0])\n",
-    "plt.plot(results_test_np[:,1])\n",
-    "plt.plot(results_test_np[:,2])\n",
-    "plt.plot(results_test_np[:,3])\n",
-    "\n",
-    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(5.4204e-08, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0228, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1157, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.0973, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(1.9755e-09, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0920, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1693, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1577, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(2.0686e-09, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0965, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.1552, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1903, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(1.7562e-09, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0976, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0972, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1963, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(1.0491e-09, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0991, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(-0.0294, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1926, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(7.1560e-10, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0968, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0294, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1916, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(4.6864e-10, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0976, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.0779, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1925, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(3.0227e-10, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0981, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1186, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1944, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(2.0427e-10, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0986, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1537, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1955, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(1.2669e-10, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0991, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.1835, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1969, requires_grad=True)}\n",
-      "Epoch: 10\t Loss: tensor(7.9409e-11, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2084, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1974, requires_grad=True)}\n",
-      "Epoch: 11\t Loss: tensor(4.5179e-11, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0993, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2287, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1976, requires_grad=True)}\n",
-      "Epoch: 12\t Loss: tensor(2.7858e-11, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0995, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2446, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1981, requires_grad=True)}\n",
-      "Epoch: 13\t Loss: tensor(1.7394e-11, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0996, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2574, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1986, requires_grad=True)}\n",
-      "Epoch: 14\t Loss: tensor(9.0507e-12, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0997, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2676, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1988, requires_grad=True)}\n",
-      "Epoch: 15\t Loss: tensor(5.6748e-12, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0998, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2754, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1991, requires_grad=True)}\n",
-      "Epoch: 16\t Loss: tensor(3.2592e-12, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2816, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1993, requires_grad=True)}\n",
-      "Epoch: 17\t Loss: tensor(1.6021e-12, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2864, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1994, requires_grad=True)}\n",
-      "Epoch: 18\t Loss: tensor(9.2377e-13, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2898, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1995, requires_grad=True)}\n",
-      "Epoch: 19\t Loss: tensor(4.5694e-13, grad_fn=<MseLossBackward>)\n",
-      "{'a': Parameter containing:\n",
-      "tensor(0.0999, requires_grad=True), 'g1': Parameter containing:\n",
-      "tensor(0.2925, requires_grad=True), 'g2': Parameter containing:\n",
-      "tensor(0.1996, requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver.fit_random_sample(\n",
-    "    result,torch.optim.Adam,\n",
-    "    {\"lr\": 0.01},\n",
-    "    max_epochs=20\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'a': 0.09993458539247513, 'g1': 0.2925073206424713, 'g2': 0.19956320524215698}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 10
-    }
-   ],
-   "source": [
-    "ode_solver.get_coeffs()\n",
-    "\n",
-    "# Coefficients differ by at most 0.01"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt = 10000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9820e-01, 1.7961e-03, 0.0000e+00],\n",
-       "        [9.9999e-02, 8.9641e-01, 3.5868e-03, 1.7949e-06],\n",
-       "        ...,\n",
-       "        [5.4365e-03, 1.9908e-06, 1.2821e-04, 9.9443e-01],\n",
-       "        [5.4365e-03, 1.9889e-06, 1.2809e-04, 9.9443e-01],\n",
-       "        [5.4365e-03, 1.9870e-06, 1.2796e-04, 9.9443e-01]],\n",
-       "       grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 11
-    }
-   ],
-   "source": [
-    "results_test = ode_solver(10000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:43:26.300181</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"ma4fec78a01\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#ma4fec78a01\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.273255\" xlink:href=\"#ma4fec78a01\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2000 -->\n      <g transform=\"translate(98.548255 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.210658\" xlink:href=\"#ma4fec78a01\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4000 -->\n      <g transform=\"translate(163.485658 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.148061\" xlink:href=\"#ma4fec78a01\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6000 -->\n      <g transform=\"translate(228.423061 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.085464\" xlink:href=\"#ma4fec78a01\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8000 -->\n      <g transform=\"translate(293.360464 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.022866\" xlink:href=\"#ma4fec78a01\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10000 -->\n      <g transform=\"translate(355.116616 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"254.492188\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m467c3bd80b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m467c3bd80b\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m467c3bd80b\" y=\"212.561146\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 216.360365)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m467c3bd80b\" y=\"163.906293\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 167.705512)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m467c3bd80b\" y=\"115.251439\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 119.050658)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m467c3bd80b\" y=\"66.596586\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 70.395805)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m467c3bd80b\" y=\"17.941732\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 21.740951)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#pd1f9fd7ee3)\" d=\"M 46.335852 236.888573 \nL 47.732006 236.999134 \nL 49.225567 237.343615 \nL 50.913939 237.964945 \nL 52.926999 238.951379 \nL 55.556963 240.505669 \nL 60.622081 243.824766 \nL 65.362511 246.809296 \nL 68.999006 248.83748 \nL 72.473157 250.522593 \nL 75.979777 251.976581 \nL 79.64874 253.255173 \nL 83.577453 254.385116 \nL 87.863321 255.382509 \nL 92.63622 256.261366 \nL 98.090962 257.034995 \nL 104.487297 257.710765 \nL 112.182379 258.291737 \nL 121.728177 258.780354 \nL 134.131221 259.181006 \nL 151.112352 259.492816 \nL 176.340533 259.715156 \nL 219.65378 259.846574 \nL 329.17071 259.892166 \nL 370.990398 259.893437 \nL 370.990398 259.893437 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pd1f9fd7ee3)\" d=\"M 46.335852 42.269165 \nL 48.1541 65.262528 \nL 49.972347 85.509583 \nL 51.823063 103.668888 \nL 53.673779 119.689765 \nL 55.556963 134.097167 \nL 57.472617 147.062422 \nL 59.420739 158.740147 \nL 61.40133 169.268269 \nL 63.414389 178.768379 \nL 65.427449 187.218661 \nL 67.472977 194.868768 \nL 69.550974 201.795321 \nL 71.661439 208.065654 \nL 73.804374 213.7393 \nL 75.947308 218.796866 \nL 78.122711 223.373904 \nL 80.330583 227.510836 \nL 82.570923 231.244536 \nL 84.843732 234.608858 \nL 87.181479 237.675099 \nL 89.551694 240.422858 \nL 91.986846 242.911609 \nL 94.519405 245.183528 \nL 97.14937 247.243587 \nL 99.876741 249.099126 \nL 102.766455 250.794806 \nL 105.818513 252.326077 \nL 109.065383 253.705641 \nL 112.572003 254.952302 \nL 116.40331 256.074585 \nL 120.624241 257.074477 \nL 125.332203 257.956194 \nL 130.65707 258.722734 \nL 136.826123 259.380837 \nL 144.16405 259.933014 \nL 153.190349 260.380709 \nL 164.91155 260.727661 \nL 181.373181 260.976251 \nL 208.094923 261.132148 \nL 267.123022 261.204615 \nL 370.990398 261.215517 \nL 370.990398 261.215517 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pd1f9fd7ee3)\" d=\"M 46.335852 261.216 \nL 47.926819 241.285829 \nL 49.485316 224.465902 \nL 51.043814 210.012856 \nL 52.569843 197.892982 \nL 54.063403 187.759014 \nL 55.524495 179.317374 \nL 56.953118 172.319315 \nL 58.349272 166.553679 \nL 59.712957 161.840662 \nL 61.044174 158.026908 \nL 62.310453 155.049776 \nL 63.544264 152.700703 \nL 64.713137 150.93119 \nL 65.849542 149.59789 \nL 66.953478 148.636145 \nL 68.024945 147.989954 \nL 69.096412 147.602674 \nL 70.167879 147.452175 \nL 71.271815 147.52314 \nL 72.440688 147.825499 \nL 73.706968 148.390931 \nL 75.103122 149.270017 \nL 76.629151 150.50059 \nL 78.349992 152.179693 \nL 80.330583 154.433254 \nL 82.63586 157.405586 \nL 85.428169 161.387731 \nL 88.999726 166.894226 \nL 94.714217 176.174344 \nL 103.188548 189.877744 \nL 108.058854 197.314587 \nL 112.377191 203.511331 \nL 116.435779 208.953314 \nL 120.364492 213.852073 \nL 124.195798 218.276763 \nL 127.994636 222.325389 \nL 131.761006 226.016996 \nL 135.527375 229.401574 \nL 139.358682 232.5463 \nL 143.222457 235.431844 \nL 147.183639 238.112791 \nL 151.242227 240.590618 \nL 155.430689 242.885916 \nL 159.749026 244.998947 \nL 164.262176 246.958919 \nL 169.002606 248.772667 \nL 173.970318 250.434256 \nL 179.262716 251.967726 \nL 184.91227 253.370299 \nL 190.983917 254.645942 \nL 197.575063 255.800725 \nL 204.815584 256.839662 \nL 212.835353 257.761721 \nL 221.861652 258.571031 \nL 232.186699 259.268335 \nL 244.297525 259.856655 \nL 258.90844 260.335746 \nL 277.350663 260.707727 \nL 302.286626 260.974292 \nL 340.534756 261.138764 \nL 370.990398 261.18487 \nL 370.990398 261.18487 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pd1f9fd7ee3)\" d=\"M 46.335852 261.216 \nL 47.082632 261.107814 \nL 47.861881 260.764609 \nL 48.706067 260.146343 \nL 49.680129 259.139637 \nL 50.784064 257.652916 \nL 52.017875 255.601368 \nL 53.446498 252.773041 \nL 55.102402 248.971623 \nL 57.018055 243.98994 \nL 59.290864 237.431889 \nL 62.083172 228.660371 \nL 65.784604 216.248526 \nL 73.479687 189.431599 \nL 79.38899 169.289215 \nL 83.869671 154.792404 \nL 87.89579 142.50587 \nL 91.662159 131.713873 \nL 95.266185 122.050164 \nL 98.772805 113.276699 \nL 102.182019 105.335724 \nL 105.558764 98.028716 \nL 108.90304 91.32083 \nL 112.214847 85.174496 \nL 115.494186 79.551202 \nL 118.773525 74.363482 \nL 122.052864 69.58567 \nL 125.364672 65.150456 \nL 128.708948 61.042673 \nL 132.085693 57.246515 \nL 135.494906 53.745582 \nL 138.969057 50.494635 \nL 142.508146 47.485001 \nL 146.14464 44.683432 \nL 149.878541 42.086592 \nL 153.742317 39.670382 \nL 157.735967 37.434671 \nL 161.924429 35.346892 \nL 166.307704 33.413252 \nL 170.885791 31.637243 \nL 175.756096 29.988344 \nL 180.91862 28.476705 \nL 186.503236 27.07782 \nL 192.509946 25.80732 \nL 199.036155 24.658188 \nL 206.146801 23.633279 \nL 214.101632 22.71444 \nL 223.127931 21.902715 \nL 233.323104 21.212415 \nL 245.304055 20.627792 \nL 259.817564 20.14895 \nL 278.194849 19.775539 \nL 303.260687 19.506037 \nL 342.028316 19.339994 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_17\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_18\"/>\n    <g id=\"text_13\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_19\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_20\"/>\n    <g id=\"text_14\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_21\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_22\"/>\n    <g id=\"text_15\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_23\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_24\"/>\n    <g id=\"text_16\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd1f9fd7ee3\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plots\n",
-    "plt.plot(results_test_np[:,0])\n",
-    "plt.plot(results_test_np[:,1])\n",
-    "plt.plot(results_test_np[:,2])\n",
-    "plt.plot(results_test_np[:,3])\n",
-    "\n",
-    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import scipy.io\n",
-    "\n",
-    "scipy.io.savemat(\"SEIR_fitRandomSample.mat\", {\"x\": results_test_np})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/SEIR/SEIR_fit.mat b/examples/ode/SEIR/SEIR_fit.mat
deleted file mode 100644
index c67dd93c199cebc6121e7491abddb7e38a9c4d5d..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 160184
zcmbSxg;&&1)VGRVD0TtvE=zaA=hB^mq|zyhfP`Y8v@}X75&}v{DFOl_-C>KU*xjxC
z?DzYg^F05+1Lt#Y&YhXFyEAw0jJdXrnYNCgqLhrFxweg@kDtG{;0Ay9P@lly?P`KS
zfgyh35`wzH-tM8^UV?!EYJwZxLj|?Nd<ErX1!d*c<Q3KA6a?jD<YcG(AO5Bqn=fRV
z$?TXmWhO&sGnn;1VP^b~yhwP;l<5pVmH7|<UpwP}adedaKQb8zFxW9NN{Pdx<U2G<
z^9M(1SN|xT>K&z$?osmW9HlpHqom$CO4iMzB-=Pjx9Ud8sCJYhD@Q4+Y?Mq(M(KXR
zD5>R+l55r|S)`BBtfWy&iXEl#{iF0ge3Y&PkJ3K>QTpONN{X(dq~kD3Yph18!+4aW
zbw+8M+9-v{jgq0*D7{=iN_MM8>CmE4Iy!5Vw*MU=-ftsx;LQkKcr-!-<0DjjafFO}
zMyR8Cgr?Vy(8?1d^y|n7)ufD&bkqn%hA}>VBb4DhLL03{=$YOK8LEuX9`O;{&(G)<
zkI)aE5eoV~Of4^m>BgO5>KYxU$o64cd}f%!iifE>W0=mx3{z(4FzI>^Q@`yntuq)V
zBc)+7<POv7<xHCy!$jYPDDCMGHC!K})7?XKpl*mbMMHEvZHPYZ8=@84hG?nd5WO@Q
zq6~#0TEZHlZM;Kt?DrrQy&9zbHwQ_+XOKEi50X&+AbBJVQh4Yf`M3>|q}d={R30P)
z_8=WyI7q!e259K%099NbAoueF^z|e|(+B9(?g1M0WNhXGRIEHew(AGz>D&Rb{Mt|1
z_xh=+zn>aU_tT-H{bU%`PZNIqWNO_{N7eeNht*FbbNlJc=ROL#(??6Y`zZ5NAALO3
zN8;gqr0?2C8U}r|OtOzgmh_SP&tAIuu$ROKddan>mqIdo$#-`zsk`>lN4;K(6YHg4
zyuD=ot%s8C^w5cp9x6Q9Lwgc?NF|_$Zdv!xCgmP#U(-X=r}U8I({557>?V=wZu*(t
zO{YV;$<V%=depj!#otZdQ@bhUX%`(G=%R$mE^<okqGdr{RBzoyN{U@nxT1^R{OBb9
zyPc%e-bo5YowPE#lOB6^Qigsfi3)d8+3Zf5`?`Z{M>^<Wbq5utG6?9P1j`O`km(@a
z#T``psht$BwNvTYcKVaiP8uQY<h!w*cFVU@=#qAF_|it)>uq%JY#Z&*XrtM|ZM4s-
zjqb>_5o=K!*?zb{!Iv)3o|+4^J>>$KZo5EBO)k)&$OZD9b%8!VYo#r{tu$QHN-LvU
z$=bD*!l{*#*R)d7kMp#1{5)AUo~Nam=V>75Jo#Fjr?2AYDPYcdy7|0?BzjvYsJMkn
z_P0>?<`%l5(n1%PwNUftX3DtSOq;8lX-Q%;o%e304LZ#<#@|dPznZ9ayoshYG?Brf
zCfeiQM1@98be7XZO;ehv`tCW(Xg)`NS?5SL=p4N^Jx5u>=SZ6899_8INNVRBsWQ8f
z=I>}ESF=VsDcneRr!~^d`whfuX&~9G29gVGAg)OREf8v;7ys(1;Z8k;HP(~pp?bQq
zwVt-=*V9jddW!gYmcHINORlHSQhVZATI_X}95v2T_R6!=|GAFdj@Hr4@;X`;RY$8g
z*U?hNI^yB2qn9twP<Qtk%E&)M4m;1#k_~65SM&_|^PHi%_fAvcxzkKvr>WBKG_iC~
z)8VzJ>HD`@vc6nPr4_aGF{+m2HrLWNg<8sAP)ohfYv^f54gEe^L-T`cXsIa!4#WSc
zraxoV^t`s31`bwJv0F8Ts#cR0Up38mQ$;;JRkSC+ip0XI=(>3o?c`Pw-@i(#7_TJd
zGnLetP)WM(3{_=hK1Tog6fNyJMSJp2(VdV}q-b`Ek~ybn;&%mc$12Fbrh;nXD(IDS
z1qmuu(8h%o6!pBED%;EHa!xsY3@E4hhULT&C?}Q4GBUbcMmFVT<aD5n-0aK9UAl~1
zW|fh{gHp0+DkbgoQj+m4rL~%+G-E|6y?K9<F7=<J+QO5RvhyVKeL6{++>^BI?+JQ2
zc7j@JPEbPJ39@lMLHvp*==uB;RQ<Gsf-aPhTviEv*;YblbxSC4O$mvADW+$`#Z*{Q
zOm=&UX})zab%_>J*wkVYxm`qe&J<B{LJ_IE710~zB09!fL`E-;)A#n{bTa2SSp^)Y
zzxv0iYTa?N|5ivm7Yph1$wJz^uaIWh6jFnDA-VGu(!z-XYCT&(en|zi!lQutRSRh6
z;sWBn%BS(pd`di;PYBAVkB0eFDv(c`C-aE!avlwr<x$N3Jkqesqo0y_)HEZHcHTQi
z%8ke9N6Im3^EyT`I7TK*kI|C1xpcoLm#Xq|X-`NlnVRMjKRcJc{ya*f*N#$I<xz@>
zK1v>&j*_n2Q4*eelomcdLX#~==*i(Dbj|Mw^=KcVrd3CnH6w>AhH|L1n89v_x5}Z@
zqB+zuHHZ3dXVcBPY<iuTO;bIxX{}l|sqtl#)9WmX>dvCdV_7sFoJF%uvk2@g3jLKy
zXRc?`$Er+Hh|Q#ZPMI{QkVz{SWYYF$8PwmFLF}9iiVeu1*9IA6BalHolZQ#^%3-Rl
zI80(uhpEc(Fv-dtrq;QK$>hl)y5D+;c4Zx+W!n!?ll~!c;Xg!kC)4S|<#Y<ENN4uS
zbo%I+PUqy(DQaFiSwBr9k+wAA$w{N90ckXBm`3LW)2RGMDivN!rDIj8lpmW)C!JHN
zPAQdoc~j}$%M|+El|q7fDP$6wLVL_p=nOZ7-u_D_soTl4^K3HpCMVNM?_>(mNTwSr
zl1cqj5>*T*(b|(qloOFe%k7h>KqiUA<|a|wlSHy_OQgx1L@EqQBr}sln!-t>);|ff
zZ#;qY>Jn&4ass{bN}xWC1gcn>KpCG8Qq1T<+FN#z_Cy|}$V~?+RpB5NFFZ&WUdGe?
z?s%G25Kqdx;wiu?o~p&;>C=pO(s&q08Rz5ZT~-`f2F6i~aU6+p;;7_rEU|9K(y97b
zQb~)YOIu>eUpJN(^T$&Ae=!t%J%*%eW9U;t3|;Vyp>&NH@>>-{reC8;@p3eAE2Bvu
zE}8`0qDfRen$(s@)5cFx6fzn`dF4?w5*<Z6E>Wbb8b!%VqiEtoB*~9NQf65s{fdgD
zZO)POL?x0umqya~g9G$m&H)m$I6(e04p94r{j@%GKV^yUr<G44sQOq0Sy@NW%()RX
z+O>~P?A}L7vim6d)m}<2-b<y9d+EyJy)<ul57|fWp$4@*#QL(EimP^$tk-V3wstqg
zj)jv^S~#sU3@4r`;q<e47flP^MQg=(k>S&w6jQL1uGsA)=|wx~_)r+Fj|rm&gptGd
zP+E8<l*ar*sg@l|x%WaS`$!0#unM8>c_H+rFPM}fgDFWZm_B~pL0eAmpwE6gD2=m&
z)E@-V&)gsyu?eDD-XJ<L97vUMfz+cFNbi3Ika$x7?FkN`3CRGmc(t9bpWIGc-L}(`
zwcF{^xIg7(`qLguf7&+Bp8^NAQC!S6s?pp=FMe$$`R1*Z5xSLlWVcfMJ3m@m=|{aj
zezc$MN2U+AkXXSMTC-^j39Q&ciZ^`8<*+a1TKLlQdA?*Y<U`HzK16yxbYrRy?eFj=
zwFqyTqwY<w|MQ~z=e+1ys2BZ}^CGcNp3Iy)sb#w-t&{Mi%-0^Y_LK)T`FfBy*Mqpv
z-08;&cY5IAPPf*()6<7;G_A;u<Xzop7rz@_yyr?v1+H|~$(6L%y3*qb7s|<VA?M95
zq`bz3*b~mg%5x@#&CcYw#+eRJIMGC&6R9{kQN>y(62G^Zx(YVaR+r5rB(RyjJlI4x
ziZ;=p`zE@~+C;COIMT9GN3!v8q%vVgn)k|qVk#YIp}zxFOFEF#2YV8zv!`#t_H<vt
zp6-0NqgTy#G;gmRX^|Zr{AWv#x@^fJ)|M_A*pmAkTbea$L!D_hlwxH=TbJ6<=JAc>
zdTb-@blylsf*a}H6Kj$zx28i|t!ajoHKl&CB9TTbx*2XoM_@(UrdW}6?*=kU*gy_u
z8)(;}4Rq>;CA~jtNe0fARJY!eq@G()d!+@r2U^ey1q*ukpE+G<GpEXEbE+~lr;hpN
z^!%zB2_7*ce<w2<S#L)4!j!tJP02CXlz3E3sq>Es9qKWm;6xMhwKSo?WhRs~VN6ZM
z#x&_`OeRvsbmprOiL@F~eUuSd85z-3UL)!qGo)krh7|2-ND*R&l>Etns+tYx{s9AG
z8ye8wg$DF|OrJap^y!P2K4nYjlgU>-;=7<nZ)5c6wy7T7TB1j<Cv<7yNnO(S*QGQC
zU3&dnhaCEJ=ys|O`P=CbpMVYxztE=aGujlqTbtZ<w8?XxHto8hMTG@gH14BCEEz3|
z{Gmx7yEQ2|MU!UPX;Q6#Ci%Y7Ao+R?S{$K4Qw=qUXR!vYoFHPhehLpH>QN<HKb`3C
zCD4*wP`M|_TnaSfhdN#EQK#xOb;@&8r+kh&o&KOkH_ofkym&RTu~MVcYt?A&OI6CN
zS0#x9s&v^zm138xlIdd=;?$}T?;aJJZ=gbJ_*4k@l_{`NnHqK~(_CF;3g%U&w-ZVf
zUZF(G!<48`TZ!TqDv{%aB5718l0ujwK}V77coix7t^#$OQlN#q6ev(nfgUYZAnynA
z^s8E)O7_UpW+QnLS}sphpUTnuIyriGK#u;H%aOoZIkJ8&OGlbz>0P`m+1kp|CAKU%
zewLwcoibFCE<^4vG9)W0LwvubX~u{&%{eAb{C?7;uOdwmv!tp2rW6U5Nl|i`6wTI`
zqMW5tr1(^lp4CfIS&SrwZ<Hh_wj^17ks$jX2@1%Rpd3#Lx-2h2tENj(=nZjtcv764
z!^G*0zBnZ<7bn#hV)Ua)jD{1$sM=ACj*E%WiC?1BJSs}}3Pfp1peSw95~Z_?MQQaD
z5z1^3p>^>h)MPJ09-<<||4W!&j|$U3p)fTD2~)j}Fm*2#rbo}Yw77*!R>@o{apn?_
z441;DacS~~5G9ohk>nmBdT1s@Ck2Ek{4<A~`#5BMltcF0IOMOvp^U{G8hpy8h0Sd8
zN@mlD3!8N0*fcbQO>VbYG^>V1?U5{sw_%Zs2#XAUuP2Qw>&f8cdU6S0Pw{5!sa<eA
z&HN@vE<=LUUm!>nEJ(cug0y*!AWi!yKrOuj6qzeP_5lJ!x&kD>Qh-$7@snjYKZPFQ
zr&Ip?^j@2vbXM?F+1qurx_ccJ99c&)+t<-GopltuavkZvUrWn-*V6agwe&o2Ej`m;
zOJCQlCBDyVNNaEnMHH@~q0luXWV(h9tzScP|65I2msXQx>1rC=yP8t0SJOt()g(G)
zH7y)pMbm0m(TuoNw9;u6smZURZF5&q)uWZn-nNn)4y~j<-<71TxspbguOy%MD~Pv$
z1q~FeptP_R<Ym5sjD=PZ{wybrvE^i0vz!9smQ$hga+*+FPQnY9Q}pv?^tOE&c^z3s
zZvvN5l+iL0TEC2L{a8xJt}UglRZGb@b}1=2FC{spr3BukWczXn?dw`XXOAtR?;%Ub
z*nA09a+lDmDNE?cZ9Zbx^HEz0ANlz3(K;<Ydc2B{&V5--M=vg>g!07{AGMe=HZP_c
z#l>`!cQGw^y@**$7g1^9BAU5-5ru7BM4u%WQN-*;wEPJ#wYBk5@KIh;4B@4j7QFOK
zgqN=I@Y2Qm3+ZOdLMHE7NQ;9OlCJ4Ois3G#t5X+}<h=!y)4YHdWG$eKzy-uHT|m9u
z1r$7O0ZHDUPv2YS(`fd5I<sRwm6*?`V$u0jJ7Yc#KAJ}#+vbtbv3caXa~?HW&!eT%
z^XS05c{KTAF74}`OT5K%>2$<ga@sVPRw&P<2TSHs!^b(4b8!yESI(iBgL5d=YYv^%
zo<oEDbLhvf*`$1XHpQHqO?NYAlg^IW)MzoA6eVU;_ng_}^kNqA^v$BCl3BDXau(^i
z%p!iwq8Y1a(T~ZQ^mA+`&2E@Utc;mt95j<6EM`)>#7vquZzg%ann9xjGf1;+26e>F
zAT!Sy^h|pOB@50VjepbW&%Nn1bYVIb=S`>hJ=1BI<8%sBnN9~*OsAahJk&DALoXY6
zh?B)b{vkZnWz9n@IUY)1%tLcNO{4TH(`fyfY1ENEjkX3dyyY}{Dm9Jj7fz$J_fskC
z(p2)RWst`30aGc}Vk*^1O{GT*r_#C)Q^@=B6lys=g;pJ!LUBP;=+A~J6eT-_7V}LZ
z$7lagQT7kKTmB(c^dH!7{^Dx&U*rV*MTpE__<sI_kcL0V+4%=oRsMke>o-!`eq%x8
zZ<Ol%hRuxMSUva)lS#ku*8CU#Tl5QSZv2Gpk)J5r^b-sDe<JnK53oyr;PRFq$dLE}
z|BwH{x#2%}hyRBd{D<Z#|6zLHBzzJl@xXi%0eq8KI{qD3^1kDQ+jpc0eMj=^Zzw+f
z4HrYdfmiJtw*32w@!qd+O8SaP%de<d_7#B>Utm`J1)9EJU?lkkzF$5gzvVMt9QX_)
zgU{%g{~4y&KjB^OCzQH<LWuAu*uDP<%f^pz-uDqvx*u_V?nlhI_5s^-Kj4Mi2kaF2
zfHfcAW31^tP9AuVM8o%p;eC&c@pm|P{2e~{z5~g;L(zY4v9jweN)zA0(E2U@u6~Q*
zCvQ+y{RYKhZ&0oA2BWjyV9M3kFh2Gg<({vxTJklDzrO-?zQVi2S2(-z6_VGz!tNI@
zvA6CeGWNbioBm7u;e83KJ1@|3@&yzFU!Y(01-4Cp0nX*;_>}t`*Swx%K>9hZ{CtLY
zeb2yu_!&H%p5cP<Gl+h9iput<&`f%Ym$pw)y8bD`-aUb1%M)0|J%N+e6YO301huao
z<7?w%SVTWYtHonr&0}17@d)7!k02lQ2vaQ{;mPVpxb@;89yUD0uc(I*vwR5uwGYwt
z>H$QX9^ho`1ISrFz;%HKIQZ^9EL!hFB=J6$*)tGg_%HWh(RB|8)9>M$^F7E&+(Yrt
zyAT?>i`FA|;pKA|0*ZI>j^{2eU7J8x@dO5fCh$OW0&{pLU~vBqvTN>Oa^D?nGrNON
zYwjTN&21>O-o~e-+vwbM8^vO`k@fQya))o>%&}Xzv-K91tKWjxyj$p*7>7djIGXm2
z!_0gfU)GJI`u$Dp>bQxGhi*dKoq-&~^W4PF8)K*{9mA)cV=y)v!`W41kbH9kEf;RU
zKJ5l(y4}El><#4d+(5+Gbp)4RNBHjRNH@KX=5^Qc`NK6(_ci2ZUBgV@Ylv07hNbhb
zq4EAz_|{#8SnO5&wY!QZqE~VI_Z2+2d<EZ2u7H2%71$eJLGjuv`2FEBe0whANzP>i
zZM}>I8kf<!_%il9y9DEwOAt-HgjMdBuv+mF#OGXs`MrxcP<IjCaTl>{(?x_!UBugI
z7ZEf*is{v(sE8bev+XEYVxyS+JA%8{M{u=b1UDl_@Wy%si$z9Y_-7cY*M{+=d>BR%
z!)UV}hK|TE#{Udq-}NELo*KgU{X-bG8A7et5K5*Dq3q@$TB-+eH+m4fj)Sn09>j?m
zgP4AI0AXhb@GW5gajpa4C=KBH`~e(((hryO{ZK#L58*BSU}^S4a(O=t-}ND=w+|J0
zefSvM2SbxS)U59V>qjrjuJl5+q8AefdXZw^3p43nteMq|ANPCk{9F$nr}f~SPY-5k
z_CRJu4}3p#qh_ER(~7#`6W)#68@jPcv>UIdb|djl7nJI|@Hx2)7reTVO<mZxybHk}
zI<a%G6N$y0sNB<uI~zN(QnC}?Gdt1wpaY^U9VpJ|fUtiDTJ<~NEYN|4KiYBeT04$a
zw<9dR9WHL|uvKfvrlsxJ{=N-qgKcOlX~WNbZP2%GL!oRNX3THHp63_vr}F~R@-9Gf
z=LOu^Z~<B37vMDW0^}aGV)=zu%sSGFnZd1CV%`c#kyhC9v?BTbd0c8a4}t9ShzL55
zSElFTA<WQejC{WZ0_R(BDZ2$pJ6d34-U4ya7A%_4f@zPMF}1B33v!zw9M%jAt7b$?
zHlt@wGZsH@f`4}t#tNHYy0;0J?3>`C(1c%$no#=g9Gr&FL9qNBKE<5FWw&!UPv>xU
z^*NlIY{bBgMm(!)#G>>@82L9M#kdjoxQ$Ss-iWeC4OrLFfa3fH$n9ysW%~x~R&0Ru
zk_LSKSdZ>Y^(d^a$HAm}?Aub0{RZ_&;nbsST0Jg4Jc}tEXQ5Sa7Abqr;;G|V7^|Gc
z`Q>M!{H+e1*Xv++whsRtszX^|9o#JHz?H1Sk9l>t_4*8YhR)!8#Tm36JcCi6GkBqY
z1`CDGKzsTbL_Rr<k?zxAm7GRg)M<QmJB<J>h6<cU{J&ao9@OGedo5xMYoWit7JM$X
zctf?gysj1<e`?TruLj+1H5e<X!Pkfy@VnH&MxzGV{55#|w;E~>s!`ZcjRi&3NQkV)
zLicJEX;*_-)p$Ow8pobg!LhdroYE@%jH|+gPZb6YtI#P@#e5!Bxca&hZ$>JysHPHH
zX_eR;Sc$F;mEe=BMBtK2jDI}^lbfe7*mMe3xu@`K&nd(@or09cDLfH4g%eXxA>c^`
z^!h5mDX#!;Vg+VwtH4b23h+r+Ky+~hOuv+4*H}4fo67Mqw;Z&u99b^q_^wqBPj)%(
z%qWM`%QCzgE<<EZ8CZwPa4EP9akgbJP$>i78pigg6vGco(b!Xpsxk(Nr8wtbiV@3F
zypb!#vgM^P{&5lscTeJK$4PKboJ4f|Nxb$u2`BTDxFvHEu1ini<Kzh>Pn>{E#|b<r
zIf2~x6L8*o0^$}Yz$148&z7CQ)gL7oxW}NY1XoK-@GP+eJOL#Tw=RLRQVDWbm*BzQ
zVn{zJM&dv*-c=Q2^Pyr~4=sj`V=*33F+y3zSTd^^7v2;h;7Sq18jF~@7ol^15pq3?
zu+OLnev(CS<zp~;9Da9?V_(;C<dz*rNAhue2s#cCyW`lVejLq$$FXqcaRj_6#Q2p$
z7@sRdUtS?hq6%@_rw}{L3b9145bY}p5&WkBGEWLHIaq*!+5!}36(Dv`0fO8L;B8O<
zFNp&9^A#ZCzkD3IpO5ps`FK&8k9CLh;j}9sC!O>0O*bEwV);0`C?EWjdC0t%2fp4s
z9IMQO_~AVC?aIRzmpm-h&%>a29^&}&VEW@2RzEz3&;7@6z2+F&vX0@*-eaitV5l)8
z%P{&CjQwveRzJ^$$;Dj6G~_b#$i<?VTzGEHMTb=`II6igESQT~vvU#u;V2f2A4Ng?
zQ7Dxi#dzvbM1>uNyz^1K*E@<jiKB>EdK6Z_k3j0_5iA)!f~gHhFqwA*-(!y8&$c62
zU~>dQI0Ajn5d_RXg5zIvaO-XkR`=z=t0o8MvU9L_e-1)@a`3<+2OE`ha9Mz%vl;ng
zHbQP^V^McD8Y{Emk(rGZ`?7JvD;v4y+3;1$1_@+i&FpMU{gj0dx3lo9I}1;$vhXS^
z3zHF9Sm2ul@eNt9Qq95vRu&rPW#P-$OsL+^#KD0~+&hyA^<$YRj>*Kr?U{(N%fu9|
zOvH(1f^SJC%714-_jv|hT+TpdO9l*2WMEoq2Kshp;E-DeJWVn{3K<aK&%m778Tk3>
zFuqJ2#@D{X_<i~?<{vu@PV8am1{}s#hr>9ka~PK-4rAVm!`LwOF!J9V!pE^gFzY;o
z)0Ky?D*F(U4;;eut%ne2a|jDG51~Nx5EPak!u7xD*!?OU+#BhbXivwHQ|Z{0l@6f;
z>6r9O#}%7&)M=(8S1cU~%hIubN;>wvNki1lG^BQ=p{P2I$-UBWFFFk~1Ja=6n1=0o
zX{eS?!{^m$(43iu%ulI!e>W8y22;^ep9<0AsVGWHWpb5NoN!NtjCm@0RZ`)~NyXGf
zsi^#wf=w?{u=sikvyP@9qcR1~IVq5iPQmPe6ufjy!Damvw8^I6?79@x&PhStw`81u
zl#Jnv$#~R~jDMxc;AAAja(^<SwlX%mWc<`ghL&_PQr9p(vyy?YNho-jgc%o;5ZaQ2
zSEWht&Pc+`{YludEeTT{l5kWn35v2wxV<h3v2z)IG7;~dB%<m{B7)iyp<bDY1xFI`
zEG7}XL5ZkzPDGALA`+An5yeSF<l;oc|4l%~n*@~JN<e#G0`8wp!1SU7$fPE~b58>D
zeG_okCIKv+1O!MYplfXcR?khq?#Y9A@bn-|uN_2N$3ZC797N->gHTI2h`z9cu=hNO
z4;v05RpTIJB@SX@)j_1pItblw@tE=?9z9p$k<uOyr|Njf9gD}pgm`=mi^na`c=TJv
z<Gf}(8YCI4iAU?4cnnU)Vd7aFzFv>RlI}RDoQZ>HVH~nj;xMu&4zvB@U~13E`f+$7
z&)8XU$Xvwu|Bc0_cd_W7h=s~<EY38?LaIC#XR~90*jS7P$HK!s7Jn>bQK%6MeaTpS
zUK5Mbxv_Bm5rZ`^WANZ+3{LgMV0S|dEKbBgG$RIcqhjzWFb4NrVsP0!1_R7#uUDL*
zt7C9w4%6npXnc7Q&8#QUkm!$wRbw>vos33xW;7m0M}t2&8m{iqDBBQ?&zjNDla59{
ze>8q9h=$XjDD=LKg52FGl#WD!zcmW^l~E8p7KKxZQBc_(h0!fh@NtO345KJiDo4Ra
zI0`%~qR>1u3c=qaA@@8IlVg$S?u$f5V<db_BcYQW307PrW`#xKvsWY@+eBhqFA~=j
z7;qSVDWjVniKnj)VBzoq=vE#;bkYHgZaskYrUwuyegLoL9f0%O{g@ct&#Y(rF`2p_
z*#Y}OmizHRdOxZc?MKL`2<TmlfM9(DW@bg;duRkc+D71;QUs>2jKI1d`=E7a9|BtU
zp)7wNUPkPLg6lpcY3;-7_4{DMvk!w$_rjomFD{qwg-7CE{M))0WoCO}FSQqZi}qst
z(;k#w--C$8J#am;2d2CCKzlO-Vt4^YH+2v8J=u*DeY<g^d^dQLcEiShH%csa<EPAS
zI4#+Y!EfQ9Tj98HJ{<Z5;TS&<ju4M<tkMt1pl~>%=7vM}-7fH6*@b6kccC|X7iz+H
z;rQlV$kW(`qV>CQdipL5yx57C!#lC0b|(xE??hbaPK?^`#5(nz*u}pSccwD>XJKd?
z3<Ije(3c(t`;ahvwhKd!S{U^B!|-cr7+Rl&B6cVgb~T}pI~<A?VWF7e7>eIuAjt4D
z7~QK7$XyJ9U0n!bvqR9jI|RR+L!hS<f*fuLKFtk*?T27=Uk`>#b1=^32ZN%5anU;%
zJ|@AKEgg*dCBg9hZwEN{cHmXl4m6eRKw9z+1O)AXz3mPdsqKJ{zz*n7-vO&vLGZp5
zgy{MpR2&V$ctj8udIrJ5C<r-{L3qIz1nvI<apGPe7WM=px*`yNQv(qb5{N~Pfhf}m
zgdQglZ{`Hz*oOdEj|G6QH2@Pu0jQ1-K)indwpcTIl>q4T2S96j0Q6pO$A&B0;dO31
zqVl(+EP6YxZ`qDHmfK;dxSd%ew_{@JcF4W-$Kgx<_^-hqzIpz55akcoE&h06;g4O4
z{@`8fkJHoq;qYo3=3Lo^?sMA^Q?LzYvD>h2+ctc++J<qJZRix(hPs*CQ2A~vs%~sW
zL+e)bm2AcR#I5)jv=t%_Tj8j=6&c*ExV~U3)_(KD_Pc)Q@9~3hl^@bG{P1tLA9lI>
zVbaJC2W0%fyV4J3|F%H?#TLB1v;}$Rw!o@z3wYzVU~KyqoUq-3aM}V}p)F8bum#+2
zzF2+F7t8y6v8u)woNQkxNBF|Z+ZQ3`zQ|Yf#l>~Lm^srI2Jd~4cGCy<+I^r<?t_eU
zAN;q=2i|TzxMSo4J6VRVV&rK)n0)Px!`HnbcflJIC%uuJ>J8nU-k9d<&E)0Y$dU2J
zwpHFRoaPPjH(pqN!wa+9yfCfI3q0vwm>2Ga)$U%9HSvO_yca^(dZB2B7p}ke#KK#i
z*wE#P+)7Wp%JhU*geQ*scw)u|PXw!a;yKF`?(;qI<eLZlA9&#Rpa(L~dO$Yc12^M5
z5EJMDWk(Nu*6~1tga;y)d%%2(2RN_YG3|ysUbMO6TDd!V54)pnF9UCew`6pxjE(IM
zo`vq<{^y1bkKGVC>V~FsZunN@2DM~2#D}@zwyPWDOx%#6;D#UkZt$JshKVn(u)FVy
zTZ67}uXn}A0$0Q*xPl$xiUDU=>@ac#OWqZC*16*7Y*#pcae>Hv7yKM_!S#9<oGo<0
z(L@*KH|~OPR~H1EFi>>CZb28s&vU`C@6Kp=<czUVXZ&t*hS&*bxTHBFcegX{csYZ$
z!5Km7&gkPhLy*rI(SMxq`lS;bZaCp$hZBsdoG_f@1nX!gJlyVtFh?gW(sx3gj1wH!
zIx%^w6I#D)#?A+up**q~f6r~kXvt<2rESKZJ)5z~XEU^|H#6s@%~&tC8LO9X#;R$X
zA@F_^#P4hZ^>2dh*-Z#3+=Qb^o6xg!6TW&dHp@-eqP_`L!i>CR6LhC+Lhf5fe7ofc
z`#wi>)Hy=3&=JK+j##tH5qX}DSiiv$HE@Kcs3XRgIU;PDBUXKIU}{kg2pM#MXrlw3
z6+56j%>jXX9Y9+gu-MiCueBX8B;|nGH4ey~?SQ0j_K13HkNuY!dchuvr|fYg#~xKN
z_UH?;$1`Vp%rmuzl8QZih3rwtXOD@0c3Ah$4&Ha{P(NUYS&epZE3rdIx*a$Xc1Yi9
zhky2V2-CO2CpkL=3)(Szs~zHh*<$4@Tb#LR3yWS`e5$j>vE#NdPPN6KJ+^4tVvC)2
zwouoz#Y{O{+!U}y^#WTQ{AGhJuWVp3ZUePG8;IB2fK_Y*{&X7%M%X}jn++5kZD3$%
z0~bXb>}A`aaIp>g|82zAcN-ymcO%?}H=?k4BOaA)gjn`QgvV^e=#GsLa@&X)i;Z}J
zjo2W*5$&rsLT>g(RDHLG=re27T(^c&w>5gtSi|ACH9n<UBYmGW<hNPluA?=QjI2S*
z*7z=DjfSPx*u`TF&Cga?@W=`eFI%Cx-HNF#S|L2&3U0|(FyCVZO+PCrIaoo?&<YAl
zR!|qRg5gptIPh2@;PVC~KH7j&S2o~s#|HeY-2kz|4RB4}fZTl>aBJHJtlhi;-X<GR
zuet#<MK{1@<p#9Q+JJSFmWX|B$>jK!aPPCkc!MRZPg>$yrX}oSEb%DV5<wo8m~L%}
z0&PpE%Ua^Tpe5oLSwen_C7yk-K>h;@I9#^CstyZ0sI|bULJNeaS-@<+1%v`Dz~f?p
z=jIl;L>4$NX@RPB7ARi8wEJU@{CDOkzGsfgi{@x<Gsj4cIi3`lV@jGi*6%lmVSqV;
zUCfz0z#KO<%)u*d4s!u>9O5;{_&+nSKbj%*p&5p*FnpI8qU+4?yx0sD8D?mWHiKk{
z8BTbbf#1dqg?eUSDVm{5$P6mW%`iOE4DOSr`2E5Z`L|4=HDrocEv7h9X$s>!Q%p%Q
zMe9CO?A^}TTuhn$%oO9ArZ^>Iipce**vw}Nbskd)d^N%BXD0YIW`Y;}Cb-vRf?E|P
z7|%7qM3M=f>@~qhe-lh~F~JH;6Ub_rz*5!(!7LNxE-^vhbf)b$V~D*lhUYC~6b%{U
z@p)s2R2w6tz!=?W##k0<jO{y&G2~$kQ5$2V=^JBG$rxTD#<;o47-sW~(f`{B`tOY}
z_`nF3SB)^yZG>$NM$Gxe2uF?>K_SryV|$FS$KMDX7b9G=G(xPl5!B?3@RehP`sGI0
zIok;I(-5=Y8sgSHLsVZjL~NHK-0BUXRcZ*KBZgR*Xoz2X4Dr_A5RY68nR=li#&ryF
zTfq<yxQ2MO(h!q#4Ke4B0R%o6K=qLU?5`VOPoDvbn+z~|$^gIe3?P+e0Pjcx6a^dL
zftLYT_6G1XHb8^A0eGYgU?*sR8a@Neo?!srNqr2z(ueF_edJ%#$Gk3m?623yw^Drs
z9o5H&Bz*)&=;KGAK4LxevBXv%Wrq47HGSNY(8n$TeXQowN7r<H_)qF#&1*eex~qq{
z%X-l2*2CWhJ#?1qA^w;iHl*r-KT?mW`|6?JTMtDJdWbO9gNue9bY=A*!O_F26?&LE
zmudG~7vDeV;`3t$V+=p2i@&Y9m~&beD@$}Co~;X=1YJ1o)y19wUF5s#qT5CnZw+;^
zN?jKwQo1;>UKh<vb@6qUE);(0ApE@!Iv(j@?wAf72X#>0s)K2#b>LK@gY(%sSd*xO
z$bC9^6{rJSPaX8x=|I&)2WLnJ;<7rZ<mf<Rr4G){(*gczW9YLsHa*wI``g-xzo-pX
zmo~Z@wBc2ujd}UnXiV3JXN)$M?qYnmY9q=;8)U7GKl<9}RMo~oNo`oI*M`6{ZG4=q
zjlSPnDEO#_-A}dPcuNZy)dIUy3kw>w@T*)4Z}YV9C|wJ;W3(`~OA9x)X<^(|3->l^
z;kls}zNl+~M@9=PI9iZesRiTtTJW8sg~YF#sC}u4@w=MfxvB}dK23PHXd<sh6Jy1i
z;LFj3b&@7>_G{u^uqH%&HL-KECI&1uu~ttLp(>iVBB2TC^_n=mOcRrHG~xDF1EZfc
zfEOA#J)r@iD;hZ7tAVvG8pyBFfMAIR%5yXzo2-G30~**6s)46lG_cQE11qdG&}g6m
zJ9Q2GlGeZpjs`4NY2fz)4b)E4fafG(&0E6FhlK1gg8eXIZ3p3LJ>g6R;XnbwDucj1
zNcgvxFcCyJ?@h?xM2NB^Y}F&!sS=o{8c=2v^O+Gi3kZVK2m+J9`nLf05g>IFP#pn`
zI)P1%08@g+!Q((l7SNdpJlYR1M-52&0S+!e{6?V32uz(AOl|}?i2%9lfZKe)+S!1|
zA9YlJR>zMQ>M*{ij{Ixt_&lHv(>8UKpH;`q3UzELP{+j#btopNqbNch3q#a#V2e7w
zIICmpMs++jQir>SIv&ZZ!%I{huldyxvQ!=a=BOj>pBe<esiE<;8q6Q6;pLbb;z!gV
z+@*$*b7}~#R>Rs7H4Gh5!|qfyNW`e&akv`t0@PsVrG}-O)G%hLhFpC$xT&i_OjZq(
zTr~`=Rl_kpH3ZF8gYjQgaK5Ty+G|xjd7z4cF;&!#sN!gsD&m?{5muuL-xI2E%2kC;
zx+*N=RAIhX6&5>GVeP952WM5dZ&by0V^!?aR7IMiDo%*2;{1A5+*qNCPYYDBc)BVS
zeyYInqY9#)tDyR>3hrD}!Mq_AXmqF`v{3~$RVsK@tODVqD%g_7_{6H<%N`YAhYAvW
zRWR<X!mQUSh%iyX4J{Q&DXSn^QU$NsDll8Eg1SX2ST#!pF@Kct@ryFtUMu6;LuD9_
zE2HD0GE{q&aqhe_l<JhxQmzb*LS^)4DZ?sR8TX@<5fHA7se#JK@m7YElQM>^mEmKo
zjG0=>IHjZv3rS^sXDg#<wKB{XE91{BWt{%21g~#OSo>B9Hy<k@^R^PKuP9;ZfD&%E
zDWRxA30td_pj4uS8M#UrPgg=!yb_`#l(0Ee3Ci1)u*^dV-yM{2$5IKM21+<ZO2|@R
ze8iQQeN748tCX;55fgWo63qW9!sHu+w~8=(qR8AIE5hNbB0L5a5zwKCh;xcat5HPB
zNkug0DdK8|BHkt{GBq1Th=nV{JWvtAK8iTztcYG4MSL<<grKe>tko0|FRO?)5k-6#
zP=wqHMFcHW#F-h2`0`r;Dqj^4`9=Z5j}@@ujskqHDxi5#0rNW*;L)Uj)>;KDFH=Bh
zfdX!1DL^Sj0eLYBn6_5|{=o{k<);7xcLg*#C_rq30*VY3uu@Y28A=M^l~O>OkOCI1
zQ$W^I1+1R0fD=3lkoqN$*3a@VeJziBkL0oAwmfEEl}GWQJae}$kBKIE>^&_H{&IQr
z6v|_3jy#s8$)ht)9sv=IK1?20{pAtw#rQkPV{)TB>P?wAy7G`ym&Z3bd7KxMM>O-p
zHd`%^m3;DeK1Uu+Q{|ELLk_N=<e>CQ4vQYi;q5Is3}2B$)u0^GI^_`3EQd{J<e*m}
z2bm%{@E?`K!b5VHnjnYo2juW>mmHo4%Hff(93HqbuxEHnIXp9DVrk0Zo3b3H$jD)V
zh#b}m$}wxV9CQ}R!C|%>f~LqJ=|5SNf0RZ4OIf^lD2utbWg&f47WPB3i0YC>O^Ylh
z>SQsmQWjJqi{N9jIF%ub$4RnS7bA;Jdu5RuB8xlQWWnzx3oj>GRNKhnyO}I>^ks2~
zWbsf@7V=WENZ`ui0lzF%R>&fgR~8><$-;7qEYAEVgC(D2m^!o!9zBwQ=^Ys~U6X;(
zhzzoOWH9T34E8q2;8V2>{7Pk*TvG;aIWl;V#?XU|d_V?U!eyBI6&Zy4$$-a028TAu
zKwzT`&X~$TS5F4FAcH_f8O)ZF!3nMmv;>&;D`XJ4NCuoaG8mpJgW#XiSo=j9gKwm<
z^Qknr_oQ)aOd2Vdq@gn)jh`LTXlRy3P@OcSDy8whL>g!Eq!F4W4YgEhOpBMs=zeJ&
z-6aj5AZaN1Nn^H$H12MaX5MB<BhgG69{SQC4QZ@amc|chY1|Q!M%#L6l&og#OQaDz
zUmDIcq+#+`3aXP*5c?>Fb+4qr_gD&ZCZw1%yA=M6O5sPJ6eimlG%@@cMt4dIJSU`>
z+&~J;vZb&-O$yQnrJxxp1*_ds@Cuf~?rl;y<Ryhu&Qj>LlVZLnQkY`Q`07YOPhARI
z6r_+QDTQ-fDLfRA!u(ZIP~(%r)_GFMn=XY*e<Z;(DG9ZYk_dSviQ31Kcrzgh(J@K*
zU6MrAfFwS2N<#6xBqHi1F;FcDzA{O;9%p=yO5)#PNmwUKqC8d-e<CDdyGs(MgCsF;
zE7RUn5`#`mEIUc0SW4oPkt7^+B+;oZ2{A=U<VZ<kx`-q~*GuBrYR0xy5*HUpLT{EN
z+NMZC`KJWxzeqs#odoKhOF-_S1R8HkK<&B&x<(~n+%JLa9TISDk-)pN5{Rglz``;K
z6d#v>QmzEEZ%V*BMFRigB#?JNf~o&XU_4j?;r<d><0F9%SH|urfdv~S&}1e74+9DC
zYDu77RRRI>5)hP>zzwbhk_087y;=f4moWV=kid>v5|ExMfe$~$QTJ6Gq3^|^`cfQI
z9*bjeLL3=m;&8bv4)Gyz{OlIT$OUl}oD;{6GvY9;6bJuFaZDD7<Ju8%)E*W`O0qco
z<HTWpKpZl=#jz|z9KZa<@x(_Q7v03syh$9THsZ*#5J#+$ICkoYV=Khrsw56O8F5&M
ziNlB^&eTK2p}kTZT6_$hFAm+AOn+0vVfIrD8^4Od>Ae_yUWy_3u^1xniXr``7>cfl
z;q0&&`g_H2w_OZhn#C}`UJTqCG3b<w!L3*f2l5!dY%z4Fi{W{q80N)_L2kboHiwHL
zE?5k8{$jZABZdX;V$j$uh9FxpoU|0fZDTPk(i4M`h8Ut%#Ly-uhMy8*P!$%#?)745
zT_c9S%fz6&NDPT{#c*}H7*_uih4&9p)O``fzjvard?|{e$D;UhSCrX{MNx276kkU~
zVcsu_@=j6kw2H#5Q4}4gMIlfril~#Kcv>h5<6Kdk&J@LpG*Lt*h~iDODC{FdnLANY
zC<Ke5)St2WiXz!v6jPi;vCB@BxpxtTpDEK`Uli_IqIjSt3Rgu@Jd_rNr<f>Sa73|P
zfa!mgD081Fidnp($ebez!Rex?{VM{EA0oK?MFbx2MezNl2vVMifPG&C7jB8b?z#v*
zUlc+5pa>*;L~yZ91Od$=SX?iH#u^c9t`Nbr6C$W85P|Jc5lqPxK}{;7PY}Vp7$!!9
z2m-^Icp)OVwVjExMFfVPBFtHqu{nq!e4_}IEJX0lNCf9}8CgRF>Z(i}1rhX1i6Bi>
z1oj*etQQc$yHz4Mzf=T?ydrR%D*~|@BKY%97*~G^qx_pN_J0(H-5X)ZJQv2iN5Xh9
zA&kD8!Z>+V7;&S*@Es6_Nw+Yh+k~;KSs1_13gcOgFfLaJ<NOIGMxijWa~a<(VeCv7
z#+D>uIK>IWDpDARdxfF7Qy3~cgdyiI3@Kk>h<gY_)R}>UFvK<rL&AdT+gKQidcsiG
z6o#&vFw7L0G06zSLtGevTwz447e?w@VHB<q#u+|g^ezy_?b*Wkz$1*A|F{tN$%X1S
zE^Iz>vEvOF>Cd^SeZ<A(yIg!4=VIw~#(s$l*C8(Adl_2?7q`xH!E=ra={hc)tGP%i
z=i)*M7w-zV5X@y_WpR<1&P7KO7n5;Z$V73mbsraHySR7~%*FZuF5LXMDE4AxS1!1l
z8M_@9XRH{1GcGiZxJc0D;<^SiJ~b}<6}dPs!^K<)E;b8uQN!Y53O^UNtGK9I%Eh!r
zTx^=hMZ-)kc&Bl(?T-)!{}Y1nS0NnyAcU8%g<$er2sMv{z;{mw;kShF;JOeDFAJe=
zSO{zTg^<uCgl`vw;Mpw1)M167cUlPNDup0gCWL}wAuK5nLefzoOv@6&-gL${NeDaQ
zh44N~2>ua5coQy!ZJ|PV7bt|FZ9@3!BZS=^Lip#*jKNU|i)@8(Y=aPl%$Pn6g`lA;
zgo_$Na8_etC<-A`mgz%M2o)lXjU$9H0U>N(BZQeNgiypM1m*z_ZqE_It{FmDK9w2U
zZw~DL<KV{^4hlYSp!0@<m(Mv!f6RgMeGVSp<{){D;jeP=bd-aPK@PNgIr!AUK}jnI
zwoM$&spp`*mV?kr4#dkicv8$kegOw|xg79ib8z_(2dOC>m?dy9KbC`w2blPKIk4Wv
z!HN(L?gemgaw`Y^J{%}|aG1GrFzm=djx7hCRvgHgb1==AgX?-6lxlGh4knfg2kR9$
zn3U$=k~jxt!W=}hIoK?~jCBnMOIL94nU9033puEp%Zz&_GrnoeT>rA6{*#UM-`SY`
znT?O{*tq?Qjh<(0=KIRVv3qPByv;_~7#m(!*|53DhW-#6%6)8zb+IAP#>TQ1Hs&|7
zF};qBKh<nZR<QB;BpdIG*m#rA#;c=jyv$;7h~ZNhT>@i^WqcwT-+fG*a5iRyv9WLm
z8!NZ7!S-WA+M5lyvti=QhNB}Jezt7vv0@{|oQ>ngY}D(sF{sVPePZLADjN%w*x<^s
zp(Vw}W-&H)aoNaXv2m84jjOBK__UnOypv!<ftL;Yd2H;R#YPbio2m1%@a`82%l>0Q
z<0}hWKC+PcmW7U&EWCZn!s<sX=4{Nu?%OO>j<Im}Dhs@qSkN72A-tc3+HMw}wX?9U
zl?A&d77o?3FmjrOS=B5izh)u&Bnw?dEKDt6K_{2R-2JgIaF~U8X)J6=Vj(A<#k_N1
zF>fPS2-wR)^DY*6LRqj3Vj<t3h1XkHQ1xaZ(Vc}m&MZi5V&Q-t3)ih#5V2%ozbOl2
zhAc?xu@I-l!hNuyqRPxck%bSkESO0#;}&CKjxY;;Y!-$Em>6qWNMFgqm!&K?EM}p7
z0n`6n7E))j@O>H!ZvWO}_}6+U{<r@BF>sf0QFKuNhY?#*QFdo$dsi{R#O65HZtMoT
zy9=?q`xO<tyBoW^usgB4G2Z`&=O?f;_nvd^nL8`Hi!Ax#lZ+pI67$w4uV4Bk^0`mW
zJ@$$Dz$aVo_$2#HpUg|}N#JFlj6Ls@zo&iD?}Sg@AMr`YgFbn>&nGQ*`{dqs&fVgZ
z+Z%k+WUWu`tn^9KWj=YZ$S1AheDXZjC!J^e<l}T7zccoU-$b8`AM2B#Q9fBX%qMvU
z`()=pAFqM=<Z>^@?Cz5foqaOA1IM)W$;y^KDcQ^?7n}H`O+%mjs_T>KwS1C0!Y4<n
z_#~>LPrjG+$xP*w{6Y@JebT9jPtq3h$(npVsT$&wH#vPWHP|O%KA+rhk+a<=S#_VB
z4)RIQK%dw%_~ckxpL9#*6I*hh9RKH)UcbHK{ppp9U%fK)lUEA7_sXN!UYYsAD;1x4
z<<}#xY`X82ws*YZyy=yz30|3a*(>EQc;)XIuk1PLmA=QkQs}T(-tYIyhP__tvdb%>
z+r9F3Gv{vbO3$@kUN7{@k7Zujzu3!bp<byv&nubdc;(hiuPmL$Ig`CoY=T#kk0q9o
zUWps#l}>}bQX<+bY5RNSc5kn&>*1BbUA<DPlUIV<d*x?qj&0$U6-~Vo)5I(F8hRyf
zJ+Gv$O%4%WiLdIF*h<7#-Ya#>5TnVQ;a>Sz%*%TZyt2KZSLWpNN_2=<n&t9Jx$Iua
zoz*LW9<O|Nc;$iNl~Y!)Y|Y}81)01uF2E~&(t4$3DzDT`?iJII`Tlss^~)m}zk9^*
zi$^|x@W}JG9=ZL>BNr1ra{Q@B;vacr+kKC$yW^4NH$AfOnnz-<cx2{9k4!!1kx8dL
zGU0?r#vS#@*hARQ*LyuOewRlkZuiKPEgqS%(Ia!#c_ePNN0zSe$eN`d*|NwZd*VED
zWUfcf{pXPzGd=Qnnn&JE_DIqMkE9*v5o5GRa*pswv7sKR9OIED13l8EpGSuFX8s-?
zS>4qm`#X8$YI~2oYU2_ARvxi8_efZjM<N<~q(cLbjI8UCMYYHyg1oAF<VPis=oJ{V
ztVbFtj|>!#%rD`Q14WrX%p<7^dL$&DM{0+7q<=2*&F+yCSv~UJLp&~zl(l=LtL~Ax
z7V4APBcC#Q#2es|nrS^UB$Y=tCiln#KaT|dbxYYKxAgttmNj49a_^H{vV3q$<+pAb
z^2#kc65aClsatY9c1!aIZkc=6EeW^W5_rQc)f3z@{<2$6UT{mwb8abr+AX6_xaHVU
zzCY}iN(bCBVV_&h?{-V(oo;Ec%`NjcyXDaax8z#qmL99!vU`PFk}Y#fwZ(3ky}&IG
z=eZ>`)-3~OyXE){w**adORLFl*)oCS#<``=XtyjI;g+vMiE%LFMZ4vFf9CE>Y`yrp
zyIU%Db<2WI9Mj${HQKsmbt|{{w{T0-rf%8O#4XlFZs}FuEtl%JC0{MKOpYMOs&0v>
z?3Rrc$gLcYmv+mwQf?^`&RE4czo=U}gt_HH0k;&%$In8@F}GW~<#5Z*Y}C-_mJM#V
z*qm+|ZF9>f%`Gh~9G}@Or84nYfLmPY+%hG#Tl`WozQ0?Z{c}m<KQ1}{%Oz!hxMcTN
zm*o5Gk`*6Z;(F(j*{@xa@uf?~K6gp7r!I+k<dX0AUDErmOFrCkN!J@Ld7a>rPFGy=
z@}f&Ro_EQsGcM_T%Ejj?T+;ohOFkWPNxuUw`L)j_L-)8O<t`Wf?vgB9T{3TzOR{co
z$-1>JDZJVx2UfVG$}*QEEOtqYg^V%ZCDHscIL#cF{5Q)b*=M-;{l7~pOm@lj2`=d{
zj&Vo3Wb#Otc!#@W`w-5LamoFGF6q<XCF%RRWN9y#l<eV>D_x1JGxK+J@je26)`l@!
zx};Zgmt<<{lJ!koQne9z)OX3ax-Q98+a;%JkW+QWsp^sqm0VJ*f=fP^b;+F4{DRta
z$)j*;Q^F;AixG2S>Ql%i!3C&iUUCj0rra($n}e@|$up}<E_hsgX2d1A9WJ?HxMYmx
zk|GwDJj+aenOssSgG+v<qaJBo(kvA<O5u_d$vEeqQwscX%JW}NiTmM{y5F3V{)<zN
zesoIAd#4n6>y-DeoU-<XQ`$avitnkD-{(1H-UFvJyyq0_9j7GRbjr-@oSWd3peuZT
z(J8af^Y~e(*iUo(38ySM#`#B_lIIZP?RUzKeT=`yDdl!C-wvl--OBu%IcB3%@~?Nw
zuQg6NzRD@nS2(#(a^4cBd|$}V;+!&To>N-KIwkBsrzD@neAAt>VyaX6Pj*U`iB55j
zcglw`PB}KpDRW0SrQ0y4lpjJYF;4k7&?%?-J7sZSrwr`vlsY|~658D<sk%DlQ75Ow
zcW_E<JE!z%<CNO1oRY7FQv#Yf<#nW!=b+S~p;IQ*cS`5FPN`m-$7?zzFv2OHt2*U+
zWvA?|=;ZZPr;IG?l#ZpHQqy!wQE`f^q*GEBcgou$92e%4g9V+kCO>t{>y#lO9GlxI
z^>aF<Om@c1Mh-rwr1LoCr_(7f>`u995Vz)(Jr-ifLahRwG9{x^h6fO9I;V6<<K%M+
z#GJw@75$weeoiU$*CDxoJH-3TA;u4f1b%Z!+Aj`C{>dSK-aF*STZepp?U45`9r8NS
zAupae<k=I4JbC1hM-LqG@SZ~++`%o};QMR*{3?%M=D3R-f1dNsa{g(?Imvj(8TTmT
zA7P$D%y+;cdc1?rKR6`kZif`u>5vlJ9a3(qLn1aiq|ru)v|jJvbsUEbTJ4Z=D;+X>
zxkHvMb;y>*4mq^YAs6GAdmeMdI>c{|Lo&~HNVb^{DKgz5m8Uu+ax&*nbjZl@4v8J>
zkPV|9a&)9aZVh+HhoKHhJ%ssV98xUWA+-iLq+>sajOgQ#xLyv~*~1~1yE%CM)*)#+
zJ0!THL&~&wNVB#MiD~VSc`Y5Xr@2FJHYK-6YS@JM8#$y&10JvEkcD*|d<MWFPit^~
zghN8BF-H}L^sU6X6^Or_L!Os$NQTl5DQr3<N*pq(Brz6u$n~P+Q^X;8!W>e+phJe`
zcgVWD4!IFR{qj(&Tn=fP!yyxci6JYs_EJlaLn^r((%<2b)i!d}9g<FSh*%taKF=Xb
z0v(c&kytYDv-A$>nbsjIQ#<5tN(a|F_40SfP(SkiYnOMw?UEzOF3o@1CHA{ru6(si
zz!$qz`ec_8AMCRKon3yuu}hKHcIoxfE}IhV^7ffsLY~^C(__1=d1#jx_wADFo?SZJ
z;rm;5d3D1sq1WxwEx|5ZuGr<vCA$>6XqQ3f?Q-y}T~eH}OO;c0nR>!5*N)l6dDJeg
z58Gw!LA!j~Z<mtsb{V<XF6VaJMcZZP_ewmr%`RWJ*roJlyG+_>mz(SDl6@U9tzpbn
zcFC~PE|JSQZYl9DX8c8VnY+L)FXuDfJiAPcwadN#?2>;rdCg?r>BKzEE-_Q=a%mD{
zO|(n&c)lJ>J;w0!QFggH!Y+A+bNo=d+#YO~LNSaJZI`D5>|*w(UVZKIxwl<v^dj#b
zc1hXYE-ky-<v?e<I6B#7KnJ^AZ)canZS69%HMzC4OPv;W+1ku5S(@6Vccfhs8ryjv
z3u85~%ddKNX<FAVhicm;xRzbU)v(K(>UODJ%`Q8uP^ZeoQjvO>w@b}({H%;!+@<X@
z#$+AEE)Byuw*)a4x67=ecKKV_E*-;|qabxFV3+mz?0ja*E~7(;B{y}=WtR&%>>}Ci
zvM!rl>{;#nj+HpvtgXu~cN}(JQz0M2&gZu5vear9tA)6-*yVSiU3z4q78&f)IDm1|
z*`<71yX;NPv8n8`Dh076x6ABgtc@RY{<X>9-!|!=WRnj+ZPMw7O`d+UN%OBZx&7HD
z^*`C<@&}tlytm2ew>GKx#wJH!*`&-%n;cBENvY>HiGOO7@FzCe_lSQV^6!0{$UU3v
zzhe{gwoMM*v`N_;HaULHCY2Lxa`uXi_kGyp>P4G0ykL{N=WNpQtW6S6+obC$n|wZD
z<2@KQNp{R8<Br%Q@UTr{58A|gz$R<rZBl3-bM7IQ-8Q+j(<YHSZ1Q}YO?qy%$)C+O
z8NbOU+D4l!TW^yB>uhphjZLbrCZClyUQ4m@{}h{yU1}43iA`25vPtoU<Q8X>Ci89b
zX0A<!#4_g`&Yx|QqO*8xhE1AIx5>w;HW@v|CiclT*)-866(-o^&N${BYm+o%Y_ez+
z$B(qhh2b`7H;lRtvB{jl#1O+6(Kcy4kofwOOFx^0_2szU)Vr5WQuVaS((X1<-Ka$u
z8?RXqTPK_B=wOq&?QQa@txcx4VVu_F+tS8oV2H1|O|~?(Nu4O_)x;*V8{4E<BXVqD
zlfm_=RXv*=t7DT6wQUkmi(_lpq(OvDlB(HcNmZLvs$!G3m25JrB5PK`CXdV6WI|bL
zTZS=|O-7nF;jb;owQ!pZEoqb7C0MUw)TSt37qLk~m`#Qi;+TRqxtX83<m24DHhB<Y
zlgW7)Gq+7%<|Nk~%$427Yr8gCnUxrP<m<J`E;q5cY&>VBAMC_zvq^q~I5cvx(kB+1
z{LW&N&6#b|CXnMYQLhZd6=0JR>22~ptxZ;>u}M^Fn*^n@$(a;38J?WS{8=YI`sAM>
zt^OL~_+v;yk|9%m8B+PDA^txM+5gRu0bdOX`(nuZPll}fXh{1Hh6KMi<k4G07QQhg
z>a`*ESBBhtVaS|BLmE6c#QKb}o)|Lgu_5&y8De>8$hG^1{CCfghIb9I-7)0OEkhRE
zG^E81L$X~r<avT2Yp)v8?TR6VE*tXgq9OY(7&7d<Ar;OUlK!kAmrpatDMOl_G$i{8
zL*5)SWcyJ=VvZP6{;<L8z|3=ixb_ogydeem8IrWekmI`znYPQ2$eo7d*kQ=WZREDq
zknvj#slVBfteePhgCX(j4VkdckVb1cZjB*dRvB`1r6Ds`7}9b%<1I5J*;3+IY{=3@
z2Jhiy-UZ|vXGr2aL-x!y*r$na4#)myNQ&9iWu_tPXOPEqYB9}_+*1wSpKZw1NrtSM
zXvokB#4z5Fka5&}tRc5X8?t$nA>&3;n-PW-A8ttCFhgDrG33Z#L*~aA(sz&{HKQ48
zAae{b<Uv0}_VzVob{|7}_BJG<7mxKcBvlVXo^&(hP*-Z*#gIXr4QbrTkYXJT(K;CN
zwH@o!){t#&4EA^OX=O;=maKOR)~q>?H#OvXlp(t#4Vl-3IyWY_MuwDWNDnkHBz1j5
zUe`6`Vjae)&DzxBn3~k8h9MOr3<<4nNS11b{HS8c{mQIEC2CQTxhfbEU7o%xXGqnu
ztalmuuQa(RL*ABRP9f%S`k^E}RKk!U#SQ6LjQSNdL=~Y{g$>ce3_icdx)m_wZhnLJ
zvl_B9uOZ7q4VfN7UGo^yH8*RXi#c){QX+>Txw0E#1RIhj8!`C|o{La#k0EE=^qPy<
zob--^Ua=c8!e&SxgFey?X`)e6D|uTCDH23&vl!yaOm2bHAd|uShv=yQdLX?a_tLSp
zX^AHdIixmZS1Lm`rZi+l3f3SwYvgap<Yb17_9L%<y7d36OOHRgbo{ML>m*&8{?eu4
zPhIN#&?Vx#E|tIOd}c=%^+lKP&$<-*q)XUGT?%~ACGUG(^1Ra}=UZK}ztQ>o3cC1S
z>Ed~*i~EHxu0&m&&vkJ;!&5xLV?5&L4|)6n$KB`ndz^Qd^Y1XuZN|IBxHlR92J>8J
zzH7{z!2DN<;|lRyCaz1wcab<R5bt^7K1cj#$>WSJ-B0V%_mnO%Cv_QlLYE20b(wxl
zm$^rES#m^|HHUTCa!8lG2X#4mK$mm-b-5O=%Y%KoyxgnH=RLao*{w?&1nnZmojUJj
z)}_dHUCL}@-mSVc-l9v}&ARm3q|4Bax=h-@`0I69wNB@=dyKnA=kw>fJY1#A`<1%<
zU7<?`xR#UGGM)D;FwPR<UaU*EMU1gfmuU-#FHV<j^L05sPv`xf#1pH_?>V|;Le~F?
zVYV(+W^vw3U3$*YW%P9Bou<pismwV=mz$Gyc{@p$<giWDCI19nDvZ~8{f$`1>N0+e
zE{jL&vTKyi@Aq^`9HGm<;kxK3FpRN>>e6b6E`tW^GAo902kCMuT9?NIiDLlAp-_Kf
z@25+LzSOsmE{l5Wvac8M_M~<_bO}V>?z&X%rc3*-x{T_g%hJxe9O|UY{f>;&fgV7~
z_SCVRE(6-?GN%nOwPuV~x_ocRJSg6R$D8XC-AtGHO?8Qn;`~Tm{E)SYF6A5Rd<Ke~
z8tSsX0r}L|<x@RfG?c8XOS3w<jHs>i87rO7?dtNOhAvi=jL@Zdb!t~lmvvQHrz*@@
znRP~mO1gBZsIy1VALYrroG$55sH`qc$}nDO&QZD~nDj^~U2>qN=rS-|mt`e&IbVXY
ziW46qijiAUeqKbE3x#$06~^(XQ%IK~1$9|lfPC}ok^%+u5pP~yCWh*=Cxms$L#!y5
zn|02`n&l+F9Q09kYKy2~dM+C^$*Rj6AJ-GAdvzJ?Va?q1vWs;<8K*A29lETrGnY-5
zv<NroIh|h9$iu2jYLv9_vmn+fi!RqQlQYaf&dsFD>WsSF%b-gZR0?2@^z>*tdNVE8
zF6yTtmellLDsoIoF6fYgn3L0w{=|XG$#fa!M{fT#K9j3S2-^J7WWjGuZX{`v8P$Gi
zGWw?`2Y+bt^SdU6(fykyYrksp?29H|M19sI_LC+FA2kU?^$(hif3L}jcbX(e>9?8;
zexu30*NpK>lVa%mQj={jH2IjQNda_!uF1w{8o#sDBotkqXtMsXCT||`J-R&9WWxhZ
z-rd(EKYHBLWXoORzC%ptcUzO)w>0^6Qxn0^8=4%su1QK%zNX2<1Whhn)g%iVT+w9S
zWlip1(j+U|Uu3Qe#ByGfq8M~elf!2<NsWjzn#??{$*ohGc+l=7ah%ZjY^^5Y7;#LK
z(?_Wl8XwVQ$ze@i9@3;Bq7Q29Wts$_{(ems#%q$ekH;`*uO`R$Xp#wycWbhImnQFb
zYElxTcW82HyCx2_-$tFbYVvOjYk@hNHF>g$nqlxpP0no4L`R$T)MFjTttDp6Uqc+L
zsWrx|(&XAoO@h&T1$9|YylA<MbCzm6f6=7&5@KIW4Hjuq7Bd%W@^pbFMKC6geweRG
zZVZ~I$@#g|0zG5NZ;mD!I{v3g{A}_;t67@tn5juxG@Zd5(^&^Jo<{AaYT}QEQ>gi5
z=0<}_nyj11*JwC_W5&}rXgp4nO=C4lg{EUP**;p6^k_9olRYEJ0UbxMR>L*1q31Bx
zVkm2hK||=r!J6d7m>5kS4AP_oW=7Lv12w6HB?B}`>d)F>b3evLyS|LqM-wOd_txZU
zFZvA=d$M*tG%1Hg-8K2$jrg#$t0qC{(S^En<{HBIP8{1&lL}bYfxOVXy(S0RY2rdm
zTTSk?VXZN@HP=Kd#=@SK<bi=L=(py?i+Rn6u_@OW_D5;r#?VMj9yK8rtY}Q1qGKaX
z&Nd`pOlzRY=lawYd+L!3hSsHT>X0|q)n=X0yB6zOlRn1c8mtjIMQC!dI@c8DR->P)
zYJ8@Iv8&Lxm{VDkKb16TjWZSb8DcANTzP7T^W``fab-10fi7iOhtgb=SgyDh(AVVJ
zD@82WEaZ$4;hMZI$y(rG33?4Pi!)a-t^r&rs!1uVE<(LAq%i#*rb#^<D#RXv*n-T7
z9tAX>|8d=8M?U%iQ}eQBq0|Z2L#Q3L<e`r-IX5-V#bdaUlXb)P9GYaqjO?r*dIZx$
z*)*wv{aL9q7Wg#DfWcmR%0rLhyjv3!n_TRTnC_(C(c8iGWM@rq%EsDby}^27n$9uk
zt7-DWs!1d+STvqn5=W3GIWaGbCK)jzvnJmHSts1jq)8o|$jBOEa|TVaV_pF3i&5$6
zt#s_Ic$SuNaXAfj$Ntosgkeo8;>4VkjE~VNs8e#{#VdcVHQY|dJUHXW-hjRTtWpST
z|5_y*;{I60iYdRXk{ZL3tn%}hmG?(l<;_p4w8O(6R%wES?^daSQ{Svo4hOzkc`uDs
zwtuloeysg$mF!sj$tq67ezb}O(>_=w0OQ_UB?X4Pv&x^hR*A;<H&*F`kFTx#eGIF-
zer1&oc>dBVZSeSoRa)SFqE(`B`?*yb;l?woG{Ci|R;h=pPpnc0mmgdC{GwGZJ>p+n
zddR=H^nibH=|2DB@;#2n)w`UJYj+qAH*PaNZr@@)+`q~EczlC+@ccUQ;q^7*#m5BV
z$M>t`gFjcu4=FJ2GI?X#CF+3Ki_`^+FIXiQYtCCGAGV#dN^$HzYn8G%dB!T$apg3z
z;QlG*#;cQ7>49%2tP%r%j6ZIbK+HL26*pEKwMr<q9kEJD964;2s<?89HN@kCR_TOK
z2Z$H`n7E(#upr(lIk0IT@!;@Y&c)R|R%wdF-B#&|q+M3t!*7*Ln7flc!p0r+0*-CB
zN=@9}W|g-1u+=JqkP0)l5F^%Zwn|YP*+f6#_D1>)pEg)!C;~8dJ+WZhI;)h%`L)E4
z#5Gpwi{zNT+A1DwSY?%PoL*^_hIqDuH9>OBSZ);`HZQY^!iA;ef;UU3Ap#J$n3^Ge
z5p~Dig;wc;-wUiV2`+4m<9uA2Z<Ut#G|ws{VZn;IRw;(lu~v!1+d1Tc%vkoHRf^!`
zY~sh;S@Z{juyQ6f!?_t&X^v0RsVi*QFwH7uaBZqpI^xe1@<n#+nM~dAWRg_|AOn_8
zBnF(DKz#T%o^^!}yT(~10#C+TWgs$P#TaUa%cHH*9)Cw!Wi~=_bR@Cj;|O{f9_$>>
z7<e|!DuZFghM`uefO|t&6J)@O!B#1S>oHd8jx<;@h+f3iXzGfTSU8Y)ae07MIwK_(
z^`{=V+RrLoks3?-5+|<rq4yAgRlT`RaIY8nBM2LNTBQn}^{~otxUi?YRqEqoH>*rW
zZXEAQeekD?Rpy}>5;`+BGGbjPt5n9bj#e1~5B7IpUGcL$*BOf7YCFzBCTwVHm1=m|
zhI%0<PPC@~kpjzF5icIKWbNU>!4|AJ{xv6WC_HFJ-@t=|O?e#uqS!A`29G1@IRxW)
z6RsJg#_Go8j#rK7SLDN`hV0?6U}ppN5&Wu8ufxQ{dW?k}I9-=@K_+aiL(TA`wpHfC
z#G_jDC353@P4b2ndunhkAsJRg5Ch&;=bA$?+^xo1AP3G?W$%I&d#jKeQeaJG_6vNi
z#C#}&#EPsJ!f>ksH9>ZqEl*Cc;ZQmH78$XlEPFMQV{I9$)W(m})D@NRUa@XaNHnc7
z6~*wNlvTzeKW+%~AQvu&vo|6e&XuIM;l{}l<NzCv6sK=t#ld1+qX@$OqQr&F*jI!e
zKql-dY?ao?h&^HK=g5S;g*XO**jJD>MP|eoU>pSDV1DL;j-&awuHeAQyjJNA56*^K
zr9XmkImF6qw^j+k%{;6f3gJO+`U55KJeO5wqBP#+q%TkvKXR}yp&tCPIlEPwApm=W
zx%WZGiEPvb!MK{0YXt@I&_{h?;;ol)Q4L8Rt}R3&J@&cD2@affagRU<?l{@E5RNwv
z?n$VDe|BO)OJu=O8+$ym<GR5*qBvgZ%!wNC!&Z%2L&GU6>xxj^w{TxZS$qj%PeBu8
zz@aSE6*+J#Gc|+4r$G7~jgTG(GjSYp;!Z~LMmc=XK(1(xAe;;!Kjg=g^gIth1pKip
z9oHUwxSp2WQ5s*<(938J3r?q|KT!m)Q?W0iAu`}-O7?Z+$Fme%N2ra|*q@v_Aq0>8
zxv!!YQsY1}))1k1;>Ui7+DL<g|18oU`H}e7B8$)vnQ-!tMTVjn-v749Dl~_Vi%Aw4
zhcfu}%Ocy*1=(@`r$y$V7SiI#4~q;!VZ8lrk(FoxI}*NGWC|+7AMsx;(hmjj>Wf8|
zqZtfb`D~F%s04rP|74K?2*bON7FmNf@Zk0bi_AtXq{oT(78#CG`1#HvJJ1t(@$#*O
zziDWZmT=+L8_q>-WWedy78#AQ`1gt!F%U)Z`K3iRqbu?t@dYuXCEU1^XpvadM-VPQ
zxA0zci$owjPCv8ASX4lA9DYj8Q3^><EV2jvQ50VvTVy+WqYyqmVs3OtKD>Qsk@e_|
zJb3xQBCF9JIgxmuHAH*lMB+WZM|<Q%;$6N+d*npo9ll3<<iv~H)EJ!*f;YD;vH{(Y
zA0KX7WD9yB3}0?gXY@lc{Jd_FeHaXdWH@?_+M*KD;%tINCZi@Y<LXt`0u5oq-7EAc
zS|K}LT(-zMbVEUWxnz-Dh(;;+;pjz+j6oFy;L-()%t9kL@$furh7JhDhjY{!10e9j
zv9t6$sv{8B&RAp~nj;u5Pg`UodZRf0oTBeB7S)j%*H2nxK3X6<UY%h5&<_HCoI1|+
zfO@dw;W4fkbU`8fIBJmt7=@|`#PuT<S%5YO!KcIY4Thl-GUD1Hi^QQd^5Ek^i|ocw
zR73_O9N-wVK`6fLr`ItG)nUQicxr_%D2(6xs0}8e9-Mf(m%czhD5SyVJ=6=W5sI(7
z$pd3i3pPC7#af~dN+A_4?zHfK56(kgeBZ$}f{CaP4_<C(|G{8XLT23A#x;%ZD1qcS
zzm<Int&kT#w$K}xg2o8O`^^^Fi_xeB2cB=DuMvYv$bx$txwg;;r4fLe8>kI>K#&Fr
z>n;2}J?e$xNP$c1s53gCF#K?CE&Bx8q7eSA;b)kOb_jzX&abA9Xph23h6}6cD|A2+
z_~YVA=0HajLrPp-VUZ>1j#5aETg$n|(HG^A84s4Rei(!*(D7_3HO6q%f(P%Gum@uj
zB9R9_7t_O-gLWu_6u7#`!fUVWxhRcHxWABj5QA!P;PnFb2uwsILXZ^4zJU4YjBupK
zo%!?&2B8`pcs-BvF%gjn#h<y<2#e4IWsn6=V!6&S8V!&WKjyF}V;(v~kOBAqv&be4
zLv3Wk*V)`7F&CXt3YqX|7PZ1?G(>JB&1CJc2t82_RwT~gTE#>(MSl3>+I0F0gHQuL
ze3{04n1`+?jUYUq${3i0<|u@exH*OTU<hg>7(XV{S6GZbs0=4QOyW95EV`gHEO;@I
zJpj|t2E`G8hZCqB#vuv?kOH^Hvkzh<8X+(Iabq0!CJaXdguoBi##&@8hN2#F<L?;y
z1*<U_b&wOkNAny2t1$%ikOzLaK8o=%0*#OlDR6rvdo0Ev3Wbmc_eT&vCZGk1A^?wv
zQ%g)kdzi4|%`o-~%tKF9h6mq<vaVQ;L8yb=@WYKE)B>Xsg)pSUqruF9>F9_uu;F72
zy@w?jh}y`FWVkhmJqY8`5+#rsFQeHHF&8~i1wQ;7$exR}7>OtpK}IAFu*f0IMK4rC
zF#hzXj@X28Xo->t!kc~;{+6jl7NS3DAvgSSr!Td{6m&pYIPt9ydmYwd6q=zpvfxc`
zo|9oQqEQd|kOq%?(R26@Jx~?F_}i17##T&52b6;wKYOs(ViP8yElR_IZ{4W{)?+MM
zp%e^!?#AALH5i5FC<!Y*bY<VcN{m1=l!S&)T{sVGF$S$*!j5m9=~HaP1hhk0xbdqK
zHO5v<K_^s1R{ZTqzhWn5pgXD~H&WqA2i6S>5RHZ?jLdk~o>;LOqtOZqPW)`goY;nG
z=!&Yyi4=I$mU}VgV*nbUFtXr78}h_@Oh5-zL@@mEur=o*4$)|YqOjmoE7l(yF$tYe
z899&wk6V%t79s{sPyz<Nw;*Qhz%2Ae9TY?$-Zv*MY``RRMpfiS8YDKOzpw(M&>Cgo
zgC8C=C2lN03?dN@2a=-bY3##%3_>Kr;XqO(k7FO^V-O+{4hNE&@HqBiJ_aEY;cy_S
zF^^*(=3@{d5e_H*G-7|kK`h2_v_d%qBPE_U<X(W)7>`b<hEQa{y9PW5z-CNGFVsb0
zSn;hs`xAC!E}{_$fg65!T#tJKR$?4Fp*r#*5TELD&0!~E5sfIA@WLNY>#z=3jS1+2
z8YqA)_)?p7#%|0*44R=dvLYp3)S|bs5!2BJ4N(#<_~A)S=D`|FLU+_b5g16SK}~TO
z%P|(65P<>+!nX+aS;S)zMxZS!BLo@osXFmuFBW11+Mz1)Aq&1$<2uFxEX5dfLJbsx
zhF?{Q2S>0H6VMHHP!x9jt->1M1lD2-dZ7VI!VP~UR_30LE%*<E&;k{Z2bu7t61m|3
zmSG&aq7I6|iDY<Qky>LjW+NKSQ69OG5uYot4`V-;Vl29#Hj2UlKRheXSlEI&7>w4a
zg8Z-|sT}(cPGSRQVj!BM0z!}(-^=ox8%MDQQ_&ZZD1)5HfX`*f69=&Z6VVe5Q3~0R
z7Vk^*+yn7gh6(72Mo`Fs4EUnBR&fMtFb)0D3>6THApA1P1E;VF|6wrNpc)Fn20tX0
zV(-EZ#9<^lp*D)cgH(7cTwmCSWtfQGh(tMrAP7m}^gqsG8|GsqI-@Sakqznbxg`1E
zDAr*n2B9^oAq);A$LkV255qnz!$kB(B+4NKK}agj{5Xqkh{I@fLqn8CZe&4HG4=$U
z$4)H5IP^plltU=2_*;}(;S%;>DJG&1nxZ1|!$2~;Dnh)7#|lhAf3!dq6oLaO@U}45
zF%DuiW*`RbPzxmyjEwjZ#&w8u*onoMfIeu3$|wXUQsF}(u74cEM#N$Sx}X6{BM&V2
zTaf(?R}hbtn1*PyK@Ai~Rs`T%0q(gtgY8&|ap;X^sDi@qARWHu=XjjOPAtJB^hYa1
zpg6K2BYx&%eQ*(bu>#XD2<=cCf}F^LKY58CS8)JqFbhM`3H4DLA<&QvZ$i2E;0QJ#
z79-Iek*I_)c#t07L+CGD#6GOTObkV5G(<V%hXbkcIS==EoW(9I!&D4Hd(?$O2y`UJ
z``la`IEigogo)^n)~Jba<U|nu<>DH_4IITL%*R;tMhirsByz%nWO$d8d2k9luoP1f
zgN|r`awq^7(&2j!)&-Yw0P7Ho(ddQdsE!iIfgt$dZFYJQC$Sw%Fa?9q0rgQ9`Qb!b
zd<&-DxP<*!i#ZsDo@j>ZD2ZIqkOH5w(QCMXc&tS%#-I;cp%zSp!j3ffmX+La1&6Q^
zahQMsXoq?zivn;X0Ka_n9<JjUwqh}+AO@Y#2o+HnSrLf8UV0F>aSA)J95XNs-4KPU
zD1ltikqTcu#EPppf-P8#sThK;h(a}#L~a;Jjc;!5iAcavY{e2x!%%cXQ&dMd^1y~P
z`0nD~jB7ZCZCHxw7>4d>h6o5kU`JZ~aI%l$I*wyImSF~lqX(L!21+3mP6Xh$gIeJ(
z&LJM_5r;{LK^H`!Is~C`A^^YboR7OWhj^?<93~+KT@Z!p5QM^s0Q|ObKJMZi;;|la
zn1mQ~K@_S(5DF&(@Y~>g+{HP>V?E+92{Gt`C{%|a6i#HoU!8pc4{;esuno&G8)MKP
z9nct65spx}kP-hh?g@B=D>#bnSb_gA76Z@`O;8Pjyl^8E{P5AreF#@^3_GwAb1)7A
z(Fu{Lj#9`64+4=4pDbM4NWgLI#45yMJfhJVQHX$v{O}?(lH+R-{e)XMi~ZPyC76lP
z=#P$wL<AHHA{(qojh|WAKXDHiaTwdM0&_4PgU}VtQ5)q@1UX?tdi=@E8sQPH;y89;
z4d!DqhN350qdqF31VZ3KCM3h>K(0~Tz-jEm1}wsKj6`3wM`Kh&DddL_K}d=3nRq^e
zd$@$7*oifW!&HnwUvxkuYM=}XBPZ<006%=r$n}p~IERDSiWP{(L<~Vsv_V5uMJW_O
zHfTtT-x;VE9^)ELVIMYP31(p|qR|yCP!|<Z0-^9A3sT}o0PBeRxQt`ig|%3KX&8xq
z=!huPL|GI;E;x`8$?zpT{e?TYh@;qrby$R%7>hyZj@D?1YETG6PB@SW$?-iMG2#KP
z;w1KA6P95PCSoXhqdg)~6Xj40A@CpwsgabHI^qd#;4BVe8&+XHreY-eqcfVLE-E1$
z`H>Ae(&Jwm)*6YpgNrzdU08=jn2E6%gzjjKhNuRGFyw>-nUEacQ<Fa);3`gGKel2O
z;xHX!FbF-+7EMqS<xv9pkPQYhz#rdJvB%;OuH!5YVF%V?5oTdLhM+e(pegF05(EX2
z0}cctC4Qx(#(0WbxPYVBjSX0eIhcgu=!ec|f%>Qlg~G@UH-eA`e^Rg?A`y3S87Ht0
zo3R4(FcqUP5Z%xkjSzvdD27n@pdmf{@HIJm03IL#r*Qz=u@;N*A0}Z02A~_-pb2WB
zBG`1L5OTo{3(~<4-~6dP9^)o1;28E|GgcxFGcXQA&<CB+0u4|dWl<dY5DYs4kqW<)
zQ762>eI(!v4q+$OV<}=W1)~s+9%zRs)InvKD2zPtLPG%j@xzbj#(0X`xP%jk$5yPy
zLd?Ph3`0M3K`S&u4U|Vo6hIC*kp*e+_g|2F!7Dt(b)3Ty?8Zi{KpbXb0)}G%x}zPM
zq8_TDEJ~mNa>5NO0+1ZP{szfMyubro$9WvXK5WGrEXEv6!Dz&wH#(su8lfgCq7(`v
z1X*E2AX4M+pCI{)H+X{ExQtUch@IGg<(Q8d7>{A-k8Ws-DAYw&ltFRiM-I4PL3;S(
z=kFl-fJEHKHJrmy?8O$W#v=TO$ryz}=!K4GfrhAo3J`=L4}36?390ZWi8aJ)JjN|t
z!bu#!4y?yA%)<;!zz9U67doL8nxGD<qAW_H5b_`^?8t(2@W-!TLGlT&@EEso1!r&s
zd$AR3u@v(#0~0U;(ddOvXoV)IgQ_Ttk|=~c$O=2MARYYi>nHQ$6&~X@uHX!gU@x{}
zEtX;)W?%wFAR4{U39Zlsbx;*$Q4)oa2U%f97Nmnee*Iv6yuxGL#uc2w5$wfQti@8y
z!wgKo2t=b7I-wPspbn~{EJ~sf@*peh$bxk6$FJ|qk5_n%+qi-=ID);{inUmZd6<C-
z7=c0PgRW?Y=4gc4sETqB6hS`ZgcmksL3*UXpKn3(4e#*+k8m4TaSq3E0K2dmYp@ja
zF$<G12179bJ<$oR5rz7wfl4Ti5-5Za1j7XlnUDs_@at=ke8w9*!+qSqC7i|)?8A0!
zz)CDaET&@uMj{4%(GBg<0*z4z)leR#P!#!*3qIHpgaD+(-!DP(9Ut%#k8uYHIFA!J
zh~3zNwOEEY%*GUq#V`y+FLXv5G(`i{L}ipgNrWL3+2MwcK%|8~l0LI{;4Plx0dC?l
z&fqBGu>%{i3X3rpGcXaOFc|&N9UajcP0<jwQ4JNKPy%7di=6Pm0V^^gEt2EUC+dZd
zc#UUxfLpkV^Eipa*oPh1gf&=(1(<{Bn26CBih<~ju4s>zh(vwVL=}`nDHKCNgdjUS
zuptN;kQ&L5^pX1v-s2^n;2v(^GS1>S4q^|sVFOlS3Fc!qreZusVleunCpx1onxir5
zA_A3A2H_}z{K$=La6w0Aq(@5p`@sDPpYaxnc!WE+hKo3jqu7sK*n)Lffkl{$nV5{R
z7>+^ci|*)%)@X``sEul<0EH3=Ltf;B4-Qz732BiWf8MkH_=wkdh6lKXt2mF7IE;PR
zflXM0WmteYn2w1UjiDHb-sp<<Xo*PFM=exCMU;V{7z!aTav>Ysu)%^%NQad0L()6;
zLVUy<B;qmd;U=!)0#4%?4q`8MU^CWXC6*u#b1(ywF%Ba!1Ow3r-O&kc(E^cZfZC{z
zN+^p`D2_1XLv94a13Rn;M0%t`GW>qa8sHP&;su`IK5iia7jXv1aR~dc6I-wztFROc
z5Q~|Zg7FxIp@>Fb^gw5{LrX-VA?hFkl~E2RN}w?EBM-8}3kNi0MgUU7AAjBi$q#(S
zJG{hGJiu*S!zG->2^>Z|c3~?vU^SLuA?9KhreXp{V;BaZA9|t-+M^Ykq7mw%2CASu
z6iT893LpeI;DZx7vLFM}AUXcN<~qg~yvHj%!$aJ`bzH_doWv3A$8K!HMy$bdEW$j@
z#xzXC7z{@Y`lA=Rq61o^85*M=YN9GCpfm)<Q5Xdfid+bW7fu+kAP@magB0+??^mo7
zzTgAi;02!IA@1TP5^xFUa0<t82=UmB?bwX<SdHaaj5x$%7N%hm#$gnOAqE4`2R+aQ
z9nc0X5QRplhgztP$|#T05EMsY6hJ6)AsAjbVZeew1RxDkzz@G)l0UxS1K!{Tp5h_y
z;wBPs3FmMM$8ZSo*p2PjjP+QJ<yee3#9|hvVG_n+6ow%N1JDOO&;=dP1}zYUMyQ8c
zsE*1gkJ1nnM`08|C~_efUN~XEf<Ocy4N|}lzh96)zTgAi;02!IA@1TP5^xFUa0<t8
z2=UmB?bwX<SdHaaj5x$%7N%hm#$gnOAqE4`2R+aQ9nc0X5QRplhgztP$|#T05EMsY
z6hJ6)AsAjbVZeew1RxDkzz@F@$sb?v0dMdEPw^0UaT5u+gmXBBV>pC(?8bI%#(J#A
zax6w1VlfNTFbU%@3d0bC0qBDs=z<PtgBFNFBh*7JR7Yi$M`;L(qc92}6uFQcS>b^b
zHfRV!ATl5wQX>VD;qP<qr}%-d_=NX(gO_-YCwPc^xQ!b~z-3&(S)9Ug9Kk`vV-I#>
z8#ZGD)?yWwV+j^wK4LK&GcXmCFdkzt62mYU(ddsp=!tIVj1FjvR%nhWG)4o|MJ+_2
zDk`Bo%Aj4lcIx|ww(9Jlw(4=Jwn}ESQ8!&})UGwH)y*QURrrxs>QRkW>eQW<>SKqN
zD(YJcm1a~6^(}J?m3?t@H9KE(RdIhaRjhh5)$vYKb*EEPHThSR8a5$HZM8?K;B}Ge
zdU&Kdd9I22(X@%`@V>Fqhc{L!gBq(sD;lW<#TuzfXBw*fO&hBE9~!7VBO9nly@3i}
zS6?+!_0_hk^;ESE^_2HdT~%mCT{S#sU6o;f9d)fv9d-LfZRHqRTg6&ytJ>>psfy)l
zss6WXswX{bs)=c9s%}eas7WPisArcW)WA*=s&euORXeV_nq8#23c6TLo$XLf?f0*y
zUdB~bHH%eM?=DwSC%aTpw^CP8!OJSE)n;YY_I4!|*{_nCkfoCPxUr&|Uag|)_@aUu
zIJ$y5oV9`~bErIdl~;*L<y3}w<y7b5<&@uzvg%ylvg)FxtV+ARj2c+CjPiait^Uj?
ztpdYJt0q^Ky4_o;sTQT8cbIB^15<tcUP=v~TS}SXrBva2d~9*3DE^$ds(UP4IopRT
zTe@&nZ9_@5rB+E*?Mn$|i!Gt}>y)b2!{TbssN$-A?&2!@g<>jK?_#Q%QB0lOUsSbj
zT~rlJTT~U=R7AC{UqqcvDy&*BEv)iZDXemT2vZH`gsEL-n5z7|kV-$Lkos4okP5zE
zP(_a^sFLL`sP^0_pq36RpyG2EP^qrwSHoiRtB@S|RjNz*ROaY>s(Nrfwd+D&ReNAw
z<p|EJEEhvnspwEOJA0^dUJg-LVnWoeTp{XgLLQZIcpf!0Zyx2jom;&flUuzE%dLVQ
z<x-ue<We8QbEy?CbE+|Oa;n)Ca;nRpbExp8In<R}In;muva7Khv#S+Nv#SpQ*;V`a
zV3od0u)5<2RyWUPQ^{hosRp6h)Q!7Y)u_o?RZ}yoYWd!$rZ4uXH?@7LcXFS~zQe2h
z+j~_yn^%=O>rwLudsJ`%kGk>Lt#-_ItNoST>O+!CMQn1ZgjOy!T63uuXPm0-5T}}1
z$f;gGcc?D&9ZIj|P_I)s)QdfKm9e{BH4V0_YqxBw-&C6_UBRXbB^fGWi=n2qH&l|#
zP*W3hRc)fK@|V?B_)krB+pMY6?KM^1qp5G#t?JYit2$iKsviBds9d`&>c8$56_U%M
z5+4SsGjoGfLY*L$A|Oab9?zm~4#}bh70;r|f6A=F)@N3g+htZGy_wb1+kvX{>_BDI
z3RJJs1*%8KGpWDBGO5y%Nv-;xQH5>GsGfGqsP^W`sCGQhpsp>=plr=Es1c3~D$~sX
zb$C{Qno~PKP0tvhHl0ncK8{PT8dglN9wkq&rXEhGS`1C6>X%BVx+SGmYxks8X$PcL
z6N{!*1;3_IzqX}O&wHg&Ukj#DIX<RV(VJ7NkKI$N3Hej2itkgY;7#bBN>$3AN=<s7
zQhnZ(QpNO0sd5(N>yIhaqpc~_$KEMa)*>lX-*3s)%U#LUkb%ink?`ay!ykW@>Y%^!
z4)<4)<^0vIl>RF0R5EpGLNYZaBAMzEm`ruP>Zd0B=ci6L_EWiBeyZl-f990R|I7@R
z{+j0+{x#1&_+zH+@W&kU;kQ|C;BQm;|279sOfo-NlFYRWf0>JO{W24_{xmC<`e}YY
z`NMox=ZBg3{&zFF<9E~d^_!V;_%}00hHvJmxnE6Bj<4qTtzXRarN5Yw=Rcb-ntV35
zy!d49?Dxt1mg1AyYvxBYch--lbIS*_YUvN=wu|r0hRxrbMc=<OYYu&9F3a@JEV%fs
z`Ln=VGwJXfvsm3X=7y)Q&8Gccn-$Z%HapIHWgZWGWi~nZ(#%!orJ4WP3$y!x7iMDm
z7iR3DM00ppqPg_sb2BOOxjE^>Gqe6^*q@n`H$63fmw#$5yZyu*-s6e+U#chOqqxUr
z>#)bB^UNbNealB?!5<IJ$x|Pio}3TO!~+k^XAK^h#{2u`@UizzkN3X$dG|f@ckO#-
z$=7$y4WsUw_1$;Pg1hgSW$WBA$G*93CL4R(+~m7$PLIE3u4;J8{P^jn*=@>A)05|>
znf$~J)6wdN+3xRk^Xa_n=ImnE&4CHm%&9%EnKv_DGwZESF#W40n2!^$nqNj=HH!yd
zH8&o)Vm4@b#Vp`=#SC9`*&JYAHlN?SWR4zu$*k|XWH#7;(Hz(GqWSvI1#{@a3uZZW
z!7TppyxDa4d2?&l^JcMQ=gc>4&zYA~pEIAYIcw&re%4(0?u=Px`We$w_>8IDIBiyn
zK5edYoi>XeK4pGsbIN>}=9HPV{-jyH_DOT!*Ar&Tc_+*w>V#SB>2b6D_~YjBe8<gN
z3CGN|(Z|g9o@3;7)GXiSsJS)EQ8QxC5!2e@h?y?+5i@k-VKch^Ve{+nLuTCaLuQZa
z_;S#Ui#uq3DSyx$@b-Y2>%RkL3U$Ct|6;#sPTz0FmE3RUcp7isnH+EKD;95_c(l*_
zJ#nAewCFzb<-@(^qKSLWVMX_v6Cdp{4^P@-`ik!{*FD*7HlMoNEET@ntdO|N>_2mt
zd4=7&;hUXi%DFqudlhz?_do40(=6U$Mn&u}Z~fYC4qd(7jA*dkET3Y#*=FlDbA5|#
zrYqAnbLal8=726+%~p=BW}h=#%#8!Ln1Q*snDcIKHmi->Yz7zKY-WG4$&85IWG<-8
zyD5KeG`FtVX!dWi(QKW5quDQhgSolu1~ao~gE{xodb84q^`^7%dQ*SC&MXnT&KzEK
zo%ugQ=N(pa8^&=(qM<^Gq>`wlq)7L8N{XaJR*5JHl`Y9gdzXevdr6{Fh(Z)Xw(M-#
zd%R@Ud;Yku=Xb92&l%6}xzBZ-`}_HP`ny+z@82ufYp>8$-79p@mka03<)YBITnu=&
zM;uDuBQ{LgBNqHC6TUTNB6mrd_%^Uith%yWD2MMBw=H&y#`mS-YEh}^KDSi3E0l`6
zO}j);;4UFX?GpO!C1PAwiCE@bB2LJZi1EjZ#jUl)BEz6qY<^NC!ZVA+{%J*`Q>I9)
zX($x30fnN`s8HlSFAzDo1)^bAfsj@#5Wda%;``QoQ9LeRto@WHy!YgZAkREeJt$A~
zzL_f`6LW>`<Xq9-Emt%j%@Hl@bHpd(95L=qwkRmc7KR?#;<kFW*mWaIq$OpEk||l@
zR*x*9-?&rcZr&+OEq01mUo*vts!UPqn<*|2&lEk|GsL2T4AJJEAp+Dh#OPb;LOwNJ
z^mI-aLlx46N6QXzG-`(!XS+kRO6?FyC)338t!cs=)5Nx4siOW!s_3^NRV0|F3cYVB
z;$cmSIJ7!N>@`UdCqE{OZ<Wbn(u!nJXOt|ayx%T<?b|NS`)wDsBe#pDcS+*iz9eDp
zpCodOl7#k$L~*7vQADjw6h0=2!uxZA2&qXBN7p8ZzUB!c=6k%*I1(=|ZHyN=5HF(t
z#)*^@aiT6HPW-cp6ANYH#G`YuVpCkKFms9(y_I9d-_{tRkP#y+-C{)e;281takN-j
z5-s{HjTRRTqs6X|Q6l?5l&IJcCE6fL=ygSkgwv5iDJD`>IYx@*Dv`qac7!m?i4Zo6
zBE$;42yy6bxKOJO7dryN#V8CH&$@++182iTenOZibqN#a)Wd|#<51yI8Y)`-LWSp;
zP$B;-L|i)=BC4Z8#6G7G(bPXgv>(|ff+lSfwzq<Xt#_~p`nFZHhiw&MeYc7^#ao2O
zm@Ojb)MlYDbF-*v-z4JKZxUHDo5cN$ATeD(Nc^hbC~i;PC^?@3h2iQzQ6wEGrlxNY
z`uZEh_+tTL^Rxi*<>`8n9k5;m^j<H*^VW&ert8Gmvuj1$ytSg{(;9I!VvYE3;2N=L
z|7y``yINdsTP3cnUM0H8t`dv$R*IiyE5(TmD@3j53i05lzc5es7Y!r)#fFo9V$obb
zvFVeqI1}wFth9Z_+q&hVdB$>a?d>ul7qLvN*IXw099b&vOkXOlzV#6u5k6v?mXEku
zzeL2&S|V0_@)jX+-r|&=w;0p3SX`gKSmgio64^Vv#F^1vV(?{8QM}w!%<1VV#+NJ-
z_STC;<imyH^QMI&R(+vxKI|cEW_gIkUl)j)<ORaWWP!MOdA=z3pD*^w&lmUhx(jm$
zcX8~^Jh3Wvo^UppC+4@fiS*@e;&*R15x>_}*iUs8rtjwpyTrL7(s-`;a&?Y~Su;mW
z?KekQ*3K3#b7zZ;U$cZv?krItW(n`7GsUcknPSz5nc~m|7cp$5i#Va;BEoBDh_!Ar
zMEt+$;!4qUfs>|-*0;_gZM(AwHkYjTris?zX#$2#6PH??MD!{r;iu{(HXd^n`#l|n
zQZGlbvudhvm_1bt`|BV^lsJf)4h~|^mnlLoYl^sFJw@z%Z7-6N?M20Sd-3(jWU(lA
zviM;-SsZGcB(lRNi9JS>#G_kw0=L<TMtwWs-)bwYw%7_7ZY$<rn<z>*O%$qn6Gg>U
z8{xajMmX!)h<Vp0h=k1(#Ean*gm<g8kPEgJw+*bt`CC@vX{eRZHntLxZ9*tV3(;gI
z#Lg!yb|kVm3@kcdk?>0=(P=~C@Mjb|@=;_uqB!{*ghDxp;JF}FdxE%r$Wk0wY$@vc
zT8d{)<Av#(@uF0Fyx?mV;`cTSao@y3Jb64$^iCcp=30*vEuY7Vg+*h<K$o$iLwc<E
zdC**FE-@EAYUZN#oSE<nG83vJ&BXf$W5mm(F{1l~F~atnsn}C$Dok8W#XUJwvAbck
z$XGpE?9m-99^N()W8+N3el`(~UyOx(sj>LrYAn7e7>fZ-qr{?sQR1S(DB=3ZNXVuc
ziMx}H#KpfO#p9ZhLUrj#v10H@@#?yv2#YopR%|FVzZr<Z<pzQm8i;MG2IAR8ec=<P
zFXS!t#r01kMBVNYqH)0p@uvR>VRmV_$PXVb3~;!(^;J(4?bQ=WUV0*Dke)c-I!vg=
z4-*j+hl##_bw%SLU6HgxS8N%sE8-px6?Hp@ik>b*#X9++qFb|$s0`K-LF0AAlCRog
zb%nOb_R$v4wY7!QeJyb-T}y14t|e^bwS@lJA;Kthh;XJMBBeu9d_ABk)~?hP%7&Wa
z@{7TuylAi}Suj`}A2?WiyQLxQQ#Hi#X&PdhyoTsJH%MHH7$oW@3=*e02a31H28z)^
z1I3PU1BKdu>Y}zrU94TDE}TZG3%hp%gnRh_k+gJxc&s--I6YSrcZ=0Th^LyEq^%|l
z9;*t2d{r@NfvN}@tSau@?=K|TTycM1e-SgNzi?^mC&p*@6F9G*a39o9WVZDcpR@al
zCGLI24~@QJ*8>%?GEYU!@=y_Tv{c0UC(5F#NLln)tSmMRldLb5L{*uRSif9J%pR#E
zTt4&>e*61~f;D}_C$m0c-Va6bq)t(UZB`UkLQxEmQWWxM6vUut1!3!;AYv62#G7mK
z!h46j_&rx%?9-4Jfsf_Hf)Y95u~bfM8Yw5LKlK(;hk6VDjlIQJ>Mc^GdJCtsy~NP?
zUP5JhFQK8@OIWqZime5*;+D6pm~1F3ZhYz~f@*sT%gsGSzX?5stZYxw|FVq0G#RnQ
zO-9_-k`WFsdx$#~Jw))j9zsA5p)S=!$e-^n25j#xcuse*MYFrO`CMAqRY;4g>!ih6
zlorO_rA7CPQsPUhl=wMMN~r5fiRtgUiK2tug#4CnBGI;+&{ymxj_m7VXYOM4tDW4}
zvy<uDKhBK&$GYnO`0?Jqe3Ae1>uY~_toI*2(D9oW#{ZVc&42ThgTFX(@-O~!|0gG|
z{>iQ~KY3<$2X8g$;M-?@u*bX~tor#o|B3w0%7ef2tONh?Is5;3+2e0Ke#1AmQ2fT;
zyT0;C{L1z>zHm3cFZ@#a3;)jk%#uI7c;CfOZ14Sv`~CaK@);l5)Z`;aod3WwULW}2
zpZA=U{+=^T-t)zlcRb4b9Ut#}%Nw)a@*?xM9B}mwANGC2!+O5q6Gg8%l3(-2d#^Y%
z;1xepdBtv3FZr*-OTPH(1vf{$;CDJNm`^_Eqw}Bh;@|CTv9q1WjceycH=pt0wa?f>
z<r%l{f6DdKp7PNTPxxiR6K10)eB$C`_Vs(r*7B0t_lW(bKH|oA57{c=A-^_y$j2@}
z;JTF$__5Lh9$j;v_qyEYY5%pcMn)U=9pA=d+V1g|E%*4-kb4~8beE@l-(?|tmuK(2
z!|6_UxbyREPTp~w9me10Q4enM_>f!dKkOEtKYx=QSKQ=ZDmVGc;TwF>{RV&Tc7u6$
zD<7EJ%FbV|bHB{%+(nYL{Tfe;y~Z^r*BEbK<@Z~z@)=!8UAV&U)?8uBfmgVy@iIFs
zyUYs8m-+jVODwbK5>u~BoK=01HQg@qIjM`Bx%UDm&Ah<-{<iSP(iWcU+`=z^p68t6
z^Sr_FJO}<b$N7cl_^rb^p8x$Ue=9i4)edJl^?NgC7dG>`sm(mF;|wPkpJAhEXZXXf
z(|n`!G(Vbgn)`H~;>CMU@xwW%cysqtEUKGWZ$T5A$~Cd)kw&idZe-)WjePOsNlsXC
zlGkXQ<V`InxGeAl|I|CdD{eNhOn3t~nKp3IljFQ=`*FS~j<f2=V;r7$jQcws<MV%y
zazVvW&YFLek0>1FpU3OjeMLP#)vV{ZD|I|)TOHetmaI>Ya9rvUelqb0yL~^*|Ls1^
z2V4(xs@!4TalBUYeb#cPb}jqdIK-bL4{`4JL+tzRAkWJ`$o?}9azT%S{NIrSl6`T2
zrL_+5vDO;Sh^paKsNww|tNCMbHBXyc%~$2Cc}?SfHV@d(>W2GS^Klj1?5N_HDOLQb
zvywL)s^lTQmHbMplCRyW;Ct~E+});voqq1)BUSs@X30MOps|nZTK95E>|U<2-plto
z%2{`RIVbv*^ME1c+;nRX$0hFJb#{Ar^S?4KsV(ETE6RAr@G`#hXg6=k+|Ab0ce8Hq
z-8}qMDcf%@<yiAle*Iw=`;_hC?w-5&<e*)geY1qql1g}=eF;C6F5z(v#atd(%s8f)
z-@Py5`m!P}^(x|O%_6>cw~)1W6mq0<A@`Cm<nprxyezDMZAAf#-}yY}a6Tuj&F9C)
z`8@qy9zQC}<2dg;o~e_^mXC6ob8^|kHJ5W$bGf56hgT)%aF1y@d{{n*BU`e0O>{PI
zvdiYe?%CYll*Kk7S$sld@tl7<S^oG=ez0jLU$ETCH-BdGpCg$p0y8;pTqdjk$l&VQ
z4E7GlVDqsVto=Qm^=s4FF(94e$ENek?>l(G;T`;W!w$~3*ul$wrt!4;G<M#U#{QVb
zyZ)wfM?)(6Y)j?O)~TE>oyxP%r10pd6dqxp!j^I=>~krZtCEsgc}6lP_Dg2H+uQl>
z&h5P0eLE)&+0H3XlX(BGB!0CtiD6_CmwilR;{%C&Eg+E-EEC!5Ujol;N??!31P-5)
zz^4=wSfe$blQQC2!#$o)X~lE+^Eh5m9>+6Q#_>Y4IF9}q%jX+nSvNeEGwowpuTLyr
zx)H;PSuwnHVGO(L#qhFs(VSEh&6fkCSx-cBMvrLLxfsRGDN!8e8pU(9qS)?bBs*3{
zvj6%>F2zXhkd9=}3laQ0C4#rPMX;Gp1b4j-=jYYo{B&bDcUXtBUhi=ByB@|Dvch<R
zR~TP24CBCWp*-$*C@V&W@?WP=?mi%thdv2mxAG9)vo?g4D1?(_LfAfk8}BmR#wN|d
z{KhqyTi<Wxw;@~ERCOztm2Y83v4yp7Z04cMHuKDXoA^NLCbrh!#D5!t_~pzX?tHV6
z?Lszkz1l{0uMFgowt;MLe*@26yMe2EZ{V>-0sLls0AIYep4*nKXEmwyye(@TtBzU6
zcQ35v^NZK=i@$5wBx4Pinyg{_meo99@oGuGS;d&Sinp7tV&zLKxxr^8XGpD-Y|9mV
z$zlZ?-0<g`mHxa$&Y$ge`|)%eKaPIn%WpRM@`eGvY<y@r_nonvbv`a*_xNSpsK1Pz
z&o1TO-b?wT)Kcy&@Zs^ohw~mRVWZ7U_{G2_+*0SwcjkJtQpaLmld+ipja|$KZ+UTA
zfS2Sx@Zzhro@_M7lMnn@#9o<;7{@PSac?2}Zd%AEH5M{Ac<^%%4?fh*gDZ;{@KxId
zJm}SYPK=$;21fJw;}v(lzs8+E_jhOGx_P|AeI5_(a^t(jZhT~t8=rXV%I}k0*~ZM3
z8}H0zpDlCQTxTvDoSnmy{N`|+@*MtNJDX$NXS0peY}PHC#Uq_&@w{&{xjJhmkFuW0
z*I&ADZlVh(nY-}r`!o1O*bH_soWZxRPv@AR>FlX9ofow@bL1LlzBbUAC!CtbcYUXE
zdcSGB@wgL*E^*@OK2F@D&XI#X9a&S}k)Iu!%9lK*@`GMeS>>Pu`z>(bx3UhLbYKe4
zT`-01dQD;1gZ7;4Vb33W+w-d0$*k%*nV%?3=Bss+xZQgaYp6`(jSY7EYq=fgtJ(3=
z)3!WowJk5vwB_sz6Zu=<L|&~okyUQk@a+&AK4EOb7amODUvU%I(Q*QxdS%V?Gpu=_
zoi+dZX2pMttytH^idRTkaa*<E<%<MsC=334lKJ&2=I+|e*4Ky&Lx_i(5}$jDoRo^Z
zaUycWf4~Pyfu-jHukQui>!>B4@U!F$O-oL`I-V;+$MajW@jT_F1z*@{!7HX(uxaNw
z9#Aumhj@?UNdv}l@`bVdXX{vwHXY06FU(mw%bdSBnzNLYIghC|<A~*E+@Wd4@vURn
zDtZh{CcwG(7gN^SZOXIVO}RqZly%RJ=A)ZO^IFr<?C{EjZSqWb-b@ot?QOzuPa3n=
z24nthWXv_~qc|pe6mOd`iqm_IlJs9A)(JG?3}YiUd^wUI<&ET;*(13`aU|C^8}iGo
zhLYb+hFtp5fX&Jb_{l;8u247NjO+Sb5U0=QChBvae<OI^;St=iY6NE)jNp0g!`U)#
zI9tpe&NEepbK*rkei5n1?$&zz`S&nM&l<+-R}W*ak;8c9OI_Ysq{~m{>+&RZU2eHC
zlzq1kWrL|hSw?m!cb(E<wQV}=fI6Jpq0RD#v^jINHcuF(&Ar}g@%!Cc{9&;c%j;<I
zq(?(IKW7N{bsNGZYD0L&O-&x0s>$7_YqD$~O&)P+Fnh-h<_7!0Y$iLHo0~OwU4#aU
zi5jdYt-<<DgLrbtAP%z{#P>P}vg3(?e1Gdej^csr^iQ2l8q|5zR&}1t>b&LO0KVKX
zfFXDQpArLjNtYTAYgFUT5H<cbL5+KKSL4xVR5>tGmG4bb<vG1n`D06eE{gBZtDO3?
zt5ScSf4v`XPV2{qX7}S>>isydtuJ@W>&v?q_GPc3eHmY<u<;%hCO;MSHdf)?UzE9f
ztuk-gsLb-D%!j*_c=Kr`o)@jeGp8!CkCGCn-RQ$@nSB`N_u*RYK0M`xB6pN4@`;s-
zTwtciSw9uHvO$5{!W3A?UV%du75I0nJSXmyXG;%x?$nj%2XEx~#(p_&50GO8lH+O8
za$J7CH*0S1&3k9}=IMibvr>C6ep%j&Z?Epfk1cv}w=P+Rv$C9!D9atQWO>tISyp@A
zlP~P+$r<Z<@@DMG8@u<E>;)M<nkK_t?lL@om<(Tk--A7BdvN#Q9^5#o2d69b;IO;h
zIjX2T7yEYS+h*Na=bto3oR#LT?b4j$Ce5fT&41rZ@y)|hd?rMSFFHu^oBmR)^|%}R
zmv`f9>$>q&(TyMW>c)y?U6e#!M6I2qzN}L+Bma-)?f6G04gZl#(_iZA`d2cy_J=g0
z{?KC0KXmWVZ`$Jcn;f72k~n66(VG6h=v>85a<KbJzaDnbtqmQL99IYRE&oC5Y<^I;
z2j3;$p6^ts^qmfr|3{xE{zq<)zR|~x-y}J>Z<Jg0l@3k$N<W`}p`{^TNNVsGI(OtV
z)y@1&H$QzMjf78>sQ-x!n?Fk2Y#-@)=LeF?{XkPJKS=m^@5y!jd(!Iro|LQKk<qkw
zwD$d5dKUMVwivu6>+^5Oc<CFm>-mPFN?+3#+t(EN{1r`%ctwW8UJ;&oNdew3>28mg
zw50R}X-s-Szh6El>6qtaX7HR6F0@l0|8}ZZY^Q|%&nRZbGphLZlzyc@mE`rGlKlNA
zbbad+I;s7HZk>Ki{gytaAi2jRTlI*J&v-;x-yc$b)<e3$4{6A=2b2}{fN10c>Ur%x
zb*#TnN`vmxw3BUA>)j^FO|?<S{(ICq`<}#6b(j7X-6co+yL9T~9a@-vM`FspL-Osn
zNh9ty%`m-9m3MEENyse;-~ASqUcE_Kfj8-()=i1q@dmlAzCq8`Z%}$uEBX1h($apd
z6m$GKU0rgWQ0cnF*>{b?ysps#1xX#gN@0tx(j~d8gtb@b>cT4&BX@<C)Ly2gi!M{5
z{AId(_!3R_x<vOCFHu_kMOw8)QYsfIt>FUQUw(lmt6iWwr&=g}RSPX1+(HXm&QtJ)
z^VFn!o<>|hM>WCc$iwIynY5iH-I%ik<Id9h=grib+AMK3H%sO?&(MkdGgRhuh7SHc
zP0#k7CUf`Gv`6l=go$^Gel9;nHwT`Qu)mw=TTl~?Gi;)qwniEn-zecYG*agKlN6bE
zl6FixDe+vNAoZFPl<0MWhV?%|51Je3a9{(~7&Oq8`^QNk={WgYAEysrkJ0whW8~s`
zj4b4j5uZ3p-fNCh#jvBKdbghP<Lk-Zs-F6NtD~;nbtLazN8^?1DDw0X`WASELXD2l
z=%<INEB!EibT~}^x@yU&wwAW|*3x?|$$IM$jf_7;zpW3^n;!@1XT?DpvG^bb3_M8f
zR}awYr~{<Q2k6bW8oIT&hMsuVkler;nt837jz?FMtyML>`>~&Ds`gWc&wk1tvY(FM
zu97gXt7yUGDtgdWNkMg$G<HoTDH&E$ul5Sk%B`T;vn!~)PX%e5-$xap`^X*lNoLOX
zQosFsY4GyBG*Ndi#XKyhcbVnn=Tc6+70apl+#V_j+d~<=hxYv}qlX8}ByOED$~G*c
zVJ~;nrJ~)GvS2r@8@QX+-YTV}lu|n9R4VZZms0ZCU8Ehpi!NL3qRhV~6kK0Ip&Lr5
z$gG4OeJ&=8s$#12D<&(0V*2>9i0XG0QK46nBtu?AXC4(&x4c4fbuX0Ul?!S9-2#c@
zw}7tAE}%pGC3Pd8uBGOatV=%4Q^}{6Yk4#?Igfrh=h0E6Jj%S9OWU{SQi*dewJPP(
z;A=S)mYhS~XXH?UN{+;fl1=()*`zuvn>1Ck$@+E{1!rc_9oH;!7?eeK@9(70yq#pb
zaHk~izLN&EXVR$BOq#belZp*8smJ>a3aQGV0c$eoyjcdN{Ya;c_30G2C0)WcNvG4&
z>7;yi2L;CNpr4LAC{1|>+22f~0Xx&E%RP;xw9{zt^HiF#CzT5QQ>m9}D#d<Jp<zc;
z=x%Tdl}=2dgkF-moJ^&u$#iFKG7Z&Crl@Dzsr#Pol(k~JgqN|Mlz%1BmlH|!E+UEk
zIV6$3N)q|sNu=|6iNxNC5^h7HWDY!mM%N{f?6w5@VV6Li3JEmiW<1TwiKpFO@sd3f
zPsv~6$e=!s+Ct)}#6FH9l;ddY-B?O0jHScNVkNwcSeo`LhE6oaNPLDd5*|?u<!Hpv
z^5@ayTp3M{8=`5ERkY+aN7L2oQDm4CMY-Nlq-PvO%^i`nr74o8#z&Ir>_{@!iX@vi
z5wzl91XXQ~pq};-6wo(<{yYe$on_%Pb!|AQayb2v4W|#SVe}_2jI@`Bk-K>qRdj_?
z|BIoNnh{DPyh5pUR4AqW3L)R-5OPfkk+?%bXoEorIlkLQcf+?)^5AW>zBZU5rUgqp
zlv`<d=vJy9w3Px6ZIO7|w$O&xo9Rf{X42K%Oh=DwqAf0)X!(aA312UW&gcfwn3Egn
z!n}==oJk;UP7S0q<3PH7VFOKEx`EodZ;-I?11N?AD8FqzJqlb;_NwdY!GU#@J$)U8
zeq2kb32W)H;aW0nSwkn5uAzXQYiM@qYVxpMO)2fG=tI~lT03+VX`fmt@lLIzA5tr6
zNbw3<WwU}_Kl7)!aDSRL%%3JV`;nKAAC=1bkxIEQl{)y6=lkVkm$aN_j9yNWt;^`i
z`en3uz%uG{bSXWVzm(d#eCSWHkAykoBbn)3LQ@l$P;b*E^zo)Q{n_YECYs(9+q9VE
zd=}FIxy2N^--|ZP@{;77Jn2@xCkb0my8LDlg>PR(3&$=Z&-)80Hgut+uPmggS3Ky&
zdJihq@Sylp3n+8>0y?j}fVAr7Q|`j~BxL84%zk(JI>()Qbj_3a2IkRD=XsJGk{dM@
zx>4d3HwymhN@+Q+blKLGj6Tk#>dd+1I$<v9y_-X7>2oAZpgH98W;UHkn@y9%Z2Ite
z7S*NAqB1dyj=q^mUv|tSN9&n%;hhWlXS&dsi7uq^X$I-%%pljvGbH_ZI_VZprxT9T
zY0EEXTCm%hJZCynOgCq0t(-<y?$ac>;As?g*oj=dooISrC-Q4_lrZcZCA<emO1L<c
zOgBxXU;0z2{f+~DigF;$aSpWN#T0tHV+yUaok9lx*^|^Rd-^leo(A-=r`d-l(;@H4
zG*)#o-EE#kxf>=?*oa9Kd)JO?V(sWR*wK>rw)7>>mhzo#$zRHr+z(D9za<kT9PWwq
zvBicKZLy(m#x_*;bOLSOF@aW3o<Nbmt?5{$HK}-7Q%rwriJ!@eZf~}tN)s#E)h_5*
zrl7A=1x@KDsPPcf+~rJthA_QoCAuF?^o59qe?{6{hV*GZQg~maap!@01%t#31|<L1
zlCaQ{;^tUNa_E+lUN&Cx-pAA5(c|gmD+~IVZz18GS&+M;1)V%Ij%>D!qvvMhBy-?n
zDXe6y#M3jDvipst8yC%KWP~{tkvWb1Zbq*v&FF}a8I@|8NtniCs4Zm-=}a9%Q9Z^`
z?-Qm}9%xESO-&_C=+T6wqiM#%(GoZPXu5sFglv;c=$gF=1$8$es}sgFG)PkB#$@$r
z6b0=aMc0;$B3qqNbnAf;h3zzwFx8C6OxcLWT^cE2V~(U$+mZCH+eli}U`Sts45@IO
zA^CnYknm^?Xyyt7T5D)Pm9O-vN2xvqdg)8JB>GhIa0CVBj376+5j1ze2wHP%xWqd#
zoH}L<r^U*{>D?7QN=notCr3R=HeQbgUl=A~a}Fan`(aclJB*~y>C(0+T^cY+moCWY
z($40g6dE~{BJGCKE}5b9s9A@`MCnk`Bpn(lt3y}MX;V^+HZ7f^Ey>Ai)AEa2k~2e#
zZaHbu7$q$#zcz$0bqKwhIfN=zhfv}jO^VLal<@L2sYT+6S9vm+))fz?kKPhjxx_m@
z=B)<(mbkbdtdjVy$7s-p?}KP?{UGv|xR0ByBpzXj)A#0Ci32rG;!c&gUiJG9B%Rw5
z=Vi9UZRsKLdJa{mu9p&j;Xa8MPU6w4ka*)({8FPyC)8+sxWpx7uSPx+?@n>6#F>#P
zVe~IhrPo7MDeAQ(UtJ~1Y_FGOoGm4c4M}FV*ICItZ-QjT)kQLAt1g-SecYE`m-eM(
z|GqTctS{;RRw4B!71D}PA>phdaRRB(nTN_`SgK5W{FRB#mFevtC8|2DL~-#-v~{Ku
z#b_we-u6D!zON6NukS;-)Q2==`cTbfMe@i{q@fEH>E8%N`t(_We%33Hdbk2PJ1S6~
zssc$rmZz<I<Vk6*Jk_B*1<J@v9FB5inI%WGSWd!NlB39u-gL34H|ZzzrkpvwX_!uL
zI`gg<Z93eGCWZDQeaBv;J)jpEKa(YwN?A(SC`%6}%94$eES+fUNz-@tq@QbgN|<Cl
zDW-Q%$^Ma{)kQKCu|kHbEM@3}j11Yd_MnRV9%SU#gPJUQkbe)!_4V!~mEWD-`AW*7
zJ9U%kPKK@0w7fu?8vLbcI7rhjS!uGkB}I>mr6_l`6s;6eG+RN6X0&x9&pq8JYC|__
zwCzTH`gNmcr@HX^!Y+LCw-XJsJ8_3aCyu!F58K!N!}H4j@K)7dly~}zzVH6vm)Jj8
zr2hwl&i%$9pWj#{^BceJ`h|YBzfj@%PrMcW6PtB^;=|J&sOjB-kv%%Ff9VgrX!irl
zUw+5^(ckfb{&yUG;XkbK`wyKJ|HFa%zoFcWZ#eYZSM*H(if1jpqD$Ksl-c?PA8ASI
z)Mu3O`HU{TKVx&nCtNuF6KehU5oLCML>2mo6Q6v*oQMxN(BK0$Tz-$yYv1FB0q-&X
z_&Yr7`3{H6zQc-&w>a13Esps41~v2F;CS0Nxbf|4e3<+ims-3=wMVb;ZNw{VANdNq
z-FS&Mn_gnM&Pz0Jd4bPYzrZ^67g*Ey9Iq^Uj!G)eF`&L3yFA;mQm!4h9ejoX^Pk~%
znP+&p>M0t#KE;DlPjUXfCulJH2@dRfjHAjQqxa0mc;eq9q&<)Dq01vI`u7lH_B_PY
znGf+~=L1yQ`vAjcKR|V<2Y9{WK32Nk$9+BS<E830R9eu60lnMsU+q2I<8==Ml<uMT
z@w*tX{4SQO-NmlccQA0x9aPb}gO@Me#=V<vW4Zoqym0##Dn{PIHD<T4<LOPzPrivu
zt#0Csk2i2Z-VKa%yn%QBwBqD_t$24{E5^yS;)0{safa`8Tr%i7W?#65pEq5@r6aFl
z*Zr$_B;hJ1^Hq%fcm+!euHeJzSI|QG3LZFk8J(6~#$E$1WBd6__-NB5{AF|r%^zRH
z?I{;g&h{df{<wgP$}b?!zkp+vE}-+N7K{mK!KeBy==R_|e%XE=_e?yG!5!yt{l0S;
zyYL(~^gD;j=g(r;mb2K;^emo!(Tu6t&A83E8RL62<Kg-<*lpDrTsG_se!6!WcWgh6
zu6Cyp{+vRrIfe6<p2AGcQ~32p6Z*w9VfP75Sl`iziB*lbZAl|04Q|9^H%?;D_>;KG
z<|Kaqbpo?$PN4hp69_sd(BfVL&PZv%*eMP8NU8y+A3csw)*i>ik;ifF^J6ITj-kz*
zW4Ku97#5vBiho0o;(9!ay}#Gv(W-ikSyqqhhSuYz2X&aAQHPJF*CEQ+;i2Xu=n!%Q
z|H2Wx@cl5>Rv*UWeuwe#@WVLdSuF<T)#7K@S`6=Bi({@G!hi9H@cHCJ__F&U?9q4-
z#g>DZHvS;?_<jIWY7U^~$^-b%@Blt|RfD&8)!=*28r0OP!Q~IC@mf|jy3DP{PyMTL
zPwRf%lDr>%r|rje3i~nhLKWVQslw5dtFTn23eC?{;-j!iES^w_q1`HR)5!`<3a-H8
zT!AwG_TjSQ`|!o)eYh3(p~;`U_~+<ee7Z?eAi4fsjwZ*-aqH%Ce1YY-^zR;&ZrFoI
zw(h|wu?JUmmEoGkGE59D!&5e8sM4bhgPM2apQzoKVZR$4<aVR_rBdull$3KRs`o8L
zhnu@FJ!2RCcHM;=HFja2M<v)$Sb~v@OVDR{2`+k5jO!|jF@IGtJ{wbvRzHgHP<;{F
zY%Rjq)<sy>qX>h~7vhS9LJXK*i0S<c@$%gQ9FkXn(Vhj^Yj^<`z0F6L{rRY|J|F*%
z&&Tio^04RWJT!^P!&Odsc&=|ATHMXWlX<!5u{al14RW#lV-B_)%E7ana`3)&4$8{r
z;MB|6xH~Ny)#qhnv3532e3gZNDzosy`Yf!*EUc8y!lss;_&#~3<c!#f(ONsP<7FlW
zS7qYh4VieIGci|2^7wKF2Bv3V)PfAG(96KrAJP#Ir{k{RbR0H09gixdqtD$PXi&5R
zrG0ncmoYo=$DcIp+nk2BNoklcHx1uvr=iE&RD69f6=SxhqL`eDaw@6#t}O+h?MlH<
zD^swqWePfUPr;p+lksn6G6r}hV~<hExTj+~dY#&irit58&2>8}>uyJ_k4b1-pM=2?
zNqE^g2~9PUaPP}Rv^<cA54R>_#*{?#R!zjoPZQ9pG6AOsC7{1u0v4+z;D?9t=(IN;
zPi=_DsT1SzjZ!@3K8VA`<#A}WAr4I@#-X`#96CLW#m#$Tu^})P``N`}aNk(`_c#WV
zD`U`Na}0j7kHOPwF<ACI8Ve3Y<Gzq+yf`fyy9P(&<abe6QXhr=Vxll}P86ExMPb{w
zNX$AFiT){(ICD`XI+;YGduIf0xg3Etxe@r=F9PRa1fG?Pz$tCv__#bAV}rtR(v)yi
z8yJqiUx(qBx-k3`6Nc(;VQ6m<h6%qyvArb}ow7smf^R6!!%+MuABqPbgy81N5S$Yn
zg0{{fXr~>5HP5zTXT&yKJz^X7x)6-b{=rzL6pU2|w&MNSTXEE{Ex0Rp3tCxk!LIhr
z_&j<uejK?OHLq>L)$2FmYxPYS(GY}oUO{Lm8-!*R8_{#dMm+c<5Djtz@$`g141Ki$
z7bkAO<z^c&?Op&r-4=i@!vpZurS(|2Zar=pB&nu#Sg>pzzEE0+&PUeb1CO<s&~q&=
ztXhM!=d8h%ovU&0?$y}ac{Rp&tisWStMI4&Dtz{3C4S0Yi9>8x;_448@Oj1x+-$u9
z&ENW?(hh%A6#h8swI8lZ^}`zy@~PV^UzAGq#f#*NM_w(*GpWn*8!t!OH_Pzwj%Daz
zy$rkFEydfJOYzFYrTF@j59;Rn;5K_7{QKV$%r07jZqt^a<sWZ^J>EEfwl@|?dt>+N
z#Tc_-F^-a7jNj_K@ScwsKI!j;vZp=Kd5tF?(egyAD~s^;mPJ@IauH^?EyR-8g?MTF
zLR5Y2fx(#`C_C8$tA8xOpxq15bIt->-g5z_9G;JNedeRpfce;b&K-R>x}%AKJN9dv
zhidWj(30li<_~W8Am0t=Pj|yVQf^p(&=oV5xMJ!6SFC86D>)12A{)=egHPt5ecBxS
zYc~h4{G5#^_szyD9<%X}%50q6JPT_!&O%G0S@`(zOe{&8iII~f^~VKE_PgNY#V%;6
z?t(R!X5ggI8Tf1L47~7mI@T3T$1}60<Hz39aqLNF%v$e^8ivkz^zk&@kUkBkPo0L7
zrKX|#5hqMo;e>6vPH5NWh?kQcaqVPBH1C{>eQT$pqW@IX)18WLZ4S6M#R1i)IAC!%
z2b@wj1r=6L!FMC3;H$^>*p+FIX4CC4yq7(GYMhK4gC?Wqn92C)?Ib)}G6@gNpM+;s
zC*hAPc4!l0hkGa3;ix~hc<GQWMy<5P`TDl#^lT!|%bkc}b0*?h<%y_w(FO}5ZE&o$
z4Zi$60T0wpz^v61FlXchtb1vVpNp(<;sR@|QMX38X@w8BTVc*rD_k#Yg-cHh4A>@6
zGVX{^I~c7FF&<gXIAs*$k2i!3y9x6b6J~1@RzF01l8tESikPH|sBi;tS2Ez7X@El&
zKyv?CqHK&MYEQDnnLRAA@YHzh89E-Ltj42Orv<hix4`_(78n5*82)P<=G2YD%Yoxi
z-C`VW`7suM)sDsFfU#&jcC4hgo8!Af=J;~GIsP^`$Kl`2(681ETLR3`dYl<v`!NPL
z9vOp{8^>Tj%P}bP+Z2_LnWEViQ(VQSc)D{mnlz5aL!qN_#>COsQ)V>YIBSCSF(!D#
z!2~ZWnBbo)#yBCx7z<_^qpF%QmfRhM_Bo?a#$yz=X^+Bl?M8TMw-LTxZiItJ8R62;
zBk{t)k!Tw@5^uvu+}3G`)~5_nJ<1Se9SpHgA44>1H9*e{1FW29fXZ417~igsntSx|
ztiL`+nd;;GA0u$eu@UGLG6I*`jlgWV5!ilpINGES$GUmLC1=`jeEmWXi}&f_+BJIU
zW}%03{tZLl)5CB_>@d9LJPeK0hGEtNT^wAZi-(u%qR(huH0l_Ny-p0p-w{Jm+Hojq
z_Zy0{+H^3#NC!KY>EQa&I@r~rjfE$*ac;CW4s+JVo&&V8^N|)Rlxd;KDlJ@Qp@oOL
zhTx#{Loh9Q2o7}{f@gJx;I_A#=yXsMO}A*Gp`9j<@1u$CcLrlx;b45ad@$OY4aVbt
zHE_yV4Scs<1B=`=&|g;r9X|}h2}cIu)X+h=eCi;~RUL%S9}mO{dk5ly^#gId)j(|R
zJrF~0s-tazIu7<#$6jM4)lD5WFAl&-83Qofa{%5l8i4py4Qo%U;l%A~_+p+K<_uTE
zC0|w1_Jk^0#Hk|BQN_7KRWb5oe>``zKWawz$LN{;QAWEzX1wo*Sl<u-i|mJuF8#1j
zs~@Jl?~B>>eeqCKUwk&RFY4;_#f=|T@X0Y1oFA)#@8+mr;xHAo`KpZajmr2cQ5kQ$
zE8|@QW&F^ggsNwiaQY4<%=c2luF*=kuB#9JzT5|Q<o3Y{etl31`ryr8eX#zHBG&9y
z#Nz>q*k-GUa{U$2sa*k!4=A8qm;y%5P{6)A3Rv@59v3&t<A`K=>|7|1uT13eS(hAs
zzAA^xg>q=KS`MSE<?x}h98P-L8=Go+<Fv5e_`#(&=Ii!G&;NSixaMA{nb8Z?mi9uO
z@x4&=?uGtsvRJWC7CX1dqSrK8yrU(H9$$K5$EluJw4*03@ac&o$M-}zxt{pvz6}1W
zltGmc864*#gZ{&0@X(JQsMyj219N)dw-r4w#JUF#>DL1<zvzxhb=`4Me0QAa(H$*J
zyCe1JjxKkkF=($e)@+r=-_xaW)-Y*2*&&5^Q3}uJOQFwNDeON<3U3UQ!jcc&Fruj&
z2Bdexz~$XAj=N!{N;f=pu?wcI?}G1xyP&bT6Dn4ALj8bFc-8n1#`^w)UH$%ndBb0L
z?(-LFmH$H7(LYe{{RiIn`2$w<zu~~*-!Q4qZ}?sJ3$85w1*iJ_g4^{!L2k)U@KF8<
zt;agRXK4ov>em4uPyB$VzCYkUwI49z^mhna^&Q@6e1|RP|ASEh|G__<|KR<VZ}4aH
zH!v{x1{-dFg=gVkVTI{e81VQDJW2Qh=iv)nef=4}XM6^*`wV&CK7m&8Cup4h3AS~8
zgauU}!EM1uSg-IADvy1D9)2HS)1VK~=fZnv40;dA2Ja#G-aCkkeFuju-@)HEZ^0}3
zExdGi3o(D*fPKXq&|B~ZwEMgP%agBR)#}%9TIV&G-*^S5BVNI(aj#(f>zAOF{StH?
zUxIDt3ka)z0S~=iz#P>V@c!I$$lvrFR*ZTMZcp05E3F-3Cbh%GU(dj>@)_)2^bD-}
zKZF0yJ%zKIpTZ%Nr*N|U3B1gF0tSvxAhz2Rkg0tPdCMQej3JLf=f)#YjClmA{0J<+
zK7^pMhj45DLvZT*5T2fU04ZA^z<jd@F!9ZOm{f2dyl3BseEIwEt*H&XH@3lN<2J~A
zaS!I@-h=To?}4e@J+N!K3jrJNLZiuD82;)Gl;z)niF5A2Z^b)ssrfe4ZM_XA$KHmg
zA8x^r-M1jX;}*P9y9Mj7-UN-9oAA*3Ce;7B0o4a?K$G7Mct7k0jCs@wshO>yFryU;
z<yv9dnd_hyd>wvST!$ZDu7P63HDI4>5UqU;-nCtY<>^;JYWh_;D0dZto3Fs)kSpMc
zS0L!eW!P798GiU*hI#sz;cojSSXFQdwB0YkTeVAYx%DEnBwd6@4i`aD_9DzaeE|+{
zy8xr<0-XNY0;_6Uz<g~BsF<{X?ECYeR(>9Y&v^*eJr8%DoP#O(=ir9>IoL4p9GKoY
z3o_|v;fu>z_@R6j`dw`X`^08QpV|z6dN)JR`7@vteFhrr&OmsNGvImpG|UY<4NE4R
zhWKu$q2=T$(Asti62&R#*VzQs4Nb6QYZHv&CQ$p=2z?tGL2qj#Oy@>O{dW@HH=Kk8
z!6)IRI0;c*Cx9DIfI{dA_&VVPe3Cu^-On_DabyFmp40#>vJGI_avU1tj)RBeap>3Q
zI6S_33{IsSgX1%g!6nsW@a@h~FwH&+QS*<&mmx=C-P3xI-&GGsed=MGK|Q#?uLGz3
zbufEv9jqT)2jxGHz<<Y%z?^MI;EK%=nBVgVbh~gEjwT+4xEY6Gwd!H;zgG*vd9|?H
zvlgD~)x!9<hoHFX5a_Hs1cxmSf#=_YFtq6){ER#Z&m9iJ3#Ehb_vQgG$UXpm3lG4l
zVF$qEZ4K1yuYoB6HShy!psrgDY(HBKTN0`v*rgiM)vKZD(SDFF-4CvQ`{A_dewg^P
z3hth$g0RRcnBZ6is{N{<^Ij$VDXav=WtCuVQVFYnR6t`x1?WXqK)z!I81=7!tM~Uo
zRLMSY@!JPu%=W?XKYPLC^j>g`-wRu3?uFADdqMMgImB0#gJM8AlyEsr>nXXux(A+Q
z?tycQ_P{BFJ#hVNndGx6gOQPC5HPI_ZVV^`yQjP1;@;h`Wc_aFD|W*T+1;?`dMPC5
zltRLiQphnWg%iJa!GEWBfk@f~Ij*}vL3bA<e<%U{x)Qh%RstzbCE%rA0+ZW|!K$hl
z9D<5rnQbv-DHX%Rwjwa!T?7Sdia?W#pt4sHOutzOJqrurs$U`OvnYh@?uC$hwE(Jf
z3gFJt0#Gq80FQ13&~PaqOtSLf;F5fB7?ThGb>>0!#XJb!nFkA(<blhWJaFyGh1HjG
zAv-G<?)c=waPwS<mdb@cS8^aUHwOm#=D=x-9M~q415P)xVN_8zXsyZyUCste`E2mK
zmjyXxS@0?#3+!yOptf%ojC;BhTK4aRmBBkf&uJ%o(AWv*-e$tV`b?;f$%K=0GvUeb
zOz8U~1Libmz`h+BpyHhYv1S?2w|fRuwx)wyaXP52O@|i~(xF);9S%R;0d+My;8N%g
z_%dS$j2OBDR(?%`v!~L)BrOff7pH-_c^X{nkp^3Dr2_6w1-Zafcsn^2?yIN5gEuMg
z@n{ODB&2}df)t1~PJu^V$zXdu8IBew!-Vz8aL+CoLI)%Ryx9)jk8OvC3ESbE$96b1
zdOKW}-VU#CCPDwQB$ytQ1i4d_;Fo3+_<T-;_EU+lIz18kEK7vrkO-R;6T$vT0t`Qx
z0R5v9ps!m3Xd5Mf=!ysb)_B-k8V^4=#={)PcsQdK4>sT8;Of~p@XwBefh*(S_JlYn
zQH_IbZ(_l(Ar_XV#KPJov5;sP3r7@V;mgw)fWtA678e75JYry-Sq%J^je(R0(O^*%
z4Id(-;lR9Th%$)=-yYGh;9e9gtcrrw;Zcz68U>A`qM%DU3Y_jn!rsbAPz#TQ6xT@5
zFph*n-6LWCy$I;HKLYMWL_pQN2uK|r0g*i;Ao@W#>^u+-M`FU^g-19H9UBfS<-_6p
z(=aft3xo2cFc`fg44N?vmiG+<jW?n2;AALNWQ0Q8icko&4TZHDp|JUD2&A=yKz(5d
zd<+Z$Q|Ax}8y*5@{%nK7z1twmZ5vee+6GUK1cUL?V8~Jn2JN$3;dH=O2-n*R3vX?K
zxshAIZ|oMxd9fK@rEdo3Nt@xuk4><yY!jHcZUWifo8V7<5Xk!l!MMReu=VmrcoMu3
zJVtMXpHBm!GA$5-?E=BKV*{)y-vB$@H$bc61{m2G0EKG<V6<KU+`qFPisIHo7_W!m
z&+8z)WF4HFvkv;pt%EHMYoTlPTF4!?7G~XD10xdFK!58sF!;aKV6|s8Y?;3rZYr;a
zNzJR^M$jtQWV{NneI*Roxe^qeR)VJVN|=0P1;qQWfHyiT!1Injd`s|$0vmr=^3xCO
zs{Fvp+Ye?A@`KQ8zR(io3x@0qrQenV>|GA87cGbC0m~uf$}&iZTn2@-3@(3L3jOyj
zh4o%b;lseC5OUoIjADJ@i?t72{ka6rRxg3u%a%Zw_7a$I&l_@6yg}K)8}g*RVdAmH
zAiaJu+%sAXEib&FHQx*Vo9hL}DqawJ!4uwxd%|k=1ci=8&{Vw$l6)7zx?zi8&7*}7
zy>lVdx-5i03JYQ0IS;rV>H&+$17tfEz}cDwkmtVu5=Jb5v}g0-K;C?K<2oNK`p<{F
ztL~r??+!JS+`&WI9du93gRY=?@NKMQ{o)2gtK49LuN&+i?gr}Zu8>vW3a0a2;fcB{
zl--&Ok*RZGlk;4NQkV<nEpwnfY7Us&&VgL1IiPWJHq>mH4IVHXhW?xd|7vH!r**TS
z!*mv?eVz%9RWl*We<u7joCzD=xIoW6E>P*?0={}KAfC?v{gN4A;57rRb!NbdC)1&(
zU^>VzoDQ3ZOb4k)&XAwy3^Nuu!yrv(`1N2Ke9WB&zvfSqJe~$K9y&>$cLFI7CkPti
z1hS7EVPAnGELr3TV|5&1(6gzaS~3;%yr;rcy{QoW(gE(4Ie^u22RLTv0FLjcz_-dN
zuz%GQ2sNDo%f8uzcdb1H1lmKcr9IsJGZ_p{Oor_tlR<9cWXP783|8kS!LPVUaNcPW
zR47k^(i?VgFvAXRyV-%Frk&(>rY#&Tv4zn~C99z=xP6=miU%gbt$>Mez;Ys#{Ih}b
zCL1^%X#-!U*udC6HjvOd0e)sofQ{}GKtX!~)IPU{wdK|@aiulrn^}X-Pb)BPuma~W
zD~OnE1y>ZTU}UR++)M#F3j`b;Dq!hr2K_3Af9n`tS~5KABKX=&pq4=3<U+7houK0p
z!tzptPksn7V-Uvv0{DIsBzqp9+DWqA`vcV7w}gAemZ0cs3A0Ttq59`|7}7W%3Zln@
zne%wKuQnbs9$A3*ZVRwmX#tkwEWo;R9LzgA4x*FBN$%TmFi>k81iu;!KlYD>(2Zk3
zYr<H#+IuXdwwlAT9CMiNZ4OgMnS<L8GYC3q1{E=8l3rs5Q#8!r;PWvsx@ruZ3>*WC
zCX9jp@?)UwrYRiAH-)@qrjR|x6w3dOh6`s$Luc}6uyr2|xq73a=VucLJ8A;TktR^>
zYyw_`Okns6WB9w@7@lu3hDUbB@K)IvWFL%zab=?*aP26#z@xyp_bAwP(+G?TjiA}j
z2v%Dd!Km&=lD<3=?q`pLOFkpv>X?zx-f0NEFB*b%rXj>EHiTy;hT!zq09wu)z}$2L
z_~B^)yNwNC=^uT7^ZGC(T_5^+>BB%1eHi_B1h}@0fRv08aDVX#7-u>HiaUpc)}`T4
znKc|7mkx)&=EI>udN^#qrUz^C^}yR-50-%*Z0)57#kYsS-Ce^#Yuzx|Fku)xQW^$x
z9_hm43SHQ^Sr>*n=)wbaT_}4s6v7S<g_V&*!FSeB*q}QU(!T0IW0Ma2OV)v@i*%se
zL<a_RX+!!I?f)6N?y#QTD6Ty;wRh1{X-VgtOJ$^qh>FspP^eT$87=Lp(je_24K$@f
zXiySa6$!s&MYf3F_m9u>Ip;q2dGCGi``-6G=e_rwmr*^V%v|5A%mkV!GX{dn%$%o6
ztTL6DJBO8+{xwR>sJs&M`@JHg)vn0+Br7s4u8NG5t|AljSApRiP+(3JC@}f~3e2<R
z3d|`{1!mU^d1iIJJYx_o&n$9~XGmS1+4Mt>Io2b`T*{SWICjf1uB_dtx&-AI(=l1r
zI4R4xM#?grn`D_*HCg7^4;f}tuMC5yWEkzeGK{X746|HRhVgtU&7?O<Gk0U986{_F
z=7^3o^Y*V4vtv+-nJ$rH5)Vi*M%GfydpRkleoB&wzb47}WlA#Jc1kkdj3jeVP?E`c
zF2QuyOE6rq5{$jG1XH_6f{|g9U``B)GqRQ9%!M#<#?elk;a?!m^nVv)&fF4Xj-C-?
z_5_MCJ{Dq3u&fx9GBuBB>YT@XI603o+&zzpF`LIsip^s-Pl_^++C&+zbW!G?w<vR#
z5oJ7uMH!7(BFyg=5$0L42s5xvgt-GE%!q&p^L<>HQEC=u9Fv5Z)1Jc2Cu3p8UO<@X
z92a7iHw!U+NkYtyZ9<G73Nf96Ld@}(f{f!OL1sy+AT!@vkWpAF$f$`5GD}|zFz)RF
zOnQa@bJs_JQCKd(gh&c7&)?5w9Iwx1hI8jKy94Gj{FZZ>CWX07z*l|-Zu2t&#r(`v
z2tV`8j-MG(=VvBn`Ix^$e2i)}ALA6o$7DP6G5;CxG0XY*n9Aq8j6w@9Q<%!j8q;{0
zep6oNpd>G&JH^9%xyi%a%;#ZB_wz7mYk8P>H6A8)mYXSlz|C~la5Eo|b2AIwxS0TB
zZsvv%H>38Ni^;gc#R%naF((7K7;S4VrcZ^737z3&mfYuLX3udl_o6wOdRI=S$e5Ek
zEzHT3PI53U*EpCbc^nK+FbA_@Ee8{)&cTfQV`r8=VP`5YvNI}4>`a9>J40sd%wuVG
zCh9XAv$T(m`B%oq3>;%)s<*H)S&P}21VJ_?>Gd2Y@7f%u;nW;vWd9sSX#E^!t=1eS
zmvavDqWvFL1^%N1jeit1`j;}(|5CffU;6iZmbP4&rQ17Z$w7XWehmJh3$cGF%H$92
z{qmdq&;F)(_uq6`;x}>i&Ct%s85+kK3jFws<jQ~1=+<A<DE5oWZvCX1h@aGlKZ)bh
z586=igPPrbkdfpM>h1qd`;UJoH2F?q-@Xx7%{LPA{zkeA-)P5!uhf|QmE<hGQqJEm
zq|^L`9{GQvT+J^OIR2To<$Wffjh`u2;4@vmIZfQhrfC;W)A;l!3OM(PB)vb;eZ@~y
z{`e!MonT?jN2=idNJCerNIGna0+&qD%a0$(x9S7&cz>YFN+0O>@O$#kdQUFv-_y>y
z?<t|{9bJ!jNApbH(ZQc@>2v*Cit>L;TH0^v^~4)$Eq+7AZf~ei_6;>WoTO(bCP~q5
zl7i;4<nGtx9{rlWEq_f#vlFzfb%N;N1gRNKkjC_XWLo<l?cV(#)oA`loD;8TU&$-_
z;_-?S6kn0?=u7&U`;rEnUb3F=OKQ9Sg6^fipjo>YWFqu}PV|k_pM-G=vmPg5-f?Q_
zdQJz9KPPMR=cLc^oOC+J$RuKnwl5!}{D05reaADhJNk^eO`g%F*{Afa?J1o*{FL@D
zdrF)BjFM&BD6Km@O1{fRDeun+J!=~wI5I+|CL^TwcbHl`hRN&LFwI{+Okd{=)9|$?
zG!*%SUaWdToLo<c>3U4jv5)D6)nnSk|CokvKcb-IN2F}`h{i=8QPaJLbSCp5<vBj2
zD(Q#RKm33=^B<6%`va;`c|c09hN!fBh)jHj=#BOeot?T*hcDcxZNc|xE8HianR^u9
zevjJ2?-8f@J#yo@N4IYcl5NT$jcpjD7>Pkz{^TwR=HI0c9(U=v>Rp<c9H4*I1Ejrg
zfP9w>P}{FNq}*|bvLo-1isc>Zn0tr(?)H;@RzGn$_tOW(etP|~kG@v+k(gf}tzO(m
z2|sVsc>8U#jk-<UR=3Gf=r;Yhe~YSeZ&85zEwWO(MTYNsN$)~0nI7yVcavT^!O=^P
zdwWPft%p_L9+Fh(q0*P#WM0)x-vhd-6}l<yZx@B!?4rP=E;_ogi%!dSQQ!DY5;}X6
zJOgf07u+P1e>bSB>jrtG+#mtR8+1$I2Ic*Cox*Cali&X96lijt;<&C;U4JJ{W_6OG
zTPLNcchc{vYZTgijrhZ_(K)MY<R*HJ<_}+`AH`Sc+3u_K(C8|S&0e8jT~|mg?Fwz%
za)r*%ze2+AJLp(r2hBOwK_{#_Xvw?|dNa~awPo!T?cYwjshzfSw9}scHj2q^qw}6^
z^iI2t;QM9Dyn30~6E9P^!(|dyzD#v*Tgkn#m6XF<>9b8M4N0_8_w!41>)a)JcHk1R
zue?Mcc!>@_ZlQZ6Erk9pRLiu`67Cl28*HYa{ASYjX{Ikm&2)QCGu8JsQFTreHF`DC
z9sMTy@u!jWdmHIcRwLc>Y^0^Sjnp{PKxW+y^dzH!B0U;t>7oYWoT;a$UG>zJQBPMq
z>ZxZ@J&n&?B)*=Dv?A*w#c#Vv<9Zj#YW4zMxpjdoaxT!Q_XUbve1VYd0?pnzPxnrr
zrzYR?RE6iMhWk8S9jc=j#dRdUuZ|qd>Zn|>j<`o_X@6BMeGRFlNXuGMlB}h^S2Yw@
zUqc%sYiQAi8j@75A>ohJB-K$(y2;hFX=^pbYgbeM%sEoNb&eu)&(W7%=O_rz5j*cW
zDtuH$Yb&aV?_d=TSyWN2WEEvkoTZeevy>Tgmd-k!rGE9ZH0MVpt>~_#^z2Idw6l_2
zv67zfR+86~3YtAzL1m#8<YHSv%JLQT<$XClXfLO(lybW1UQYM)%V~<OoTTrU(T378
z%GqB=A1qk1bQxWLQ%b8Ym(snYQu22zC0YGay3bZhr|y@~zOoW>I9NiK)-1@e<PXIZ
zc%_)~(~Ifh_F_^nX6d}e^kBG%ENY7A=CLBOw=bd(szsFbqmXQG6_Rj%A&vVN(zTU^
zR3}kL=OzoN;c@}pPAQ;Io&~gENdax=Euae{XGpN_3>}C(LmwQ@P~gHd#5tQ!rFZjL
z_nc1xA^9|9n@?3r`IP+SG#%|eO@~jNra1r8RJ7_e^+=tjKkrVF$<<SolzECKcb%dQ
zCa0)J^c1a`$fKvNc@&nKM;cyv^c?e8?U_f1UgXl2=3KH!%B2;axnyme%L*~erSRuD
zRM(h8?-Fvz$RmdmmgLX}{v2|Bo=wAz+2oa&O}{;|slYg!)(d2l;ER*=sQDz-CZD7e
z+fPyyouqK#la%mZ78PC2qMPYi^lfJr8JcF%Veu@w_coK3T+5`g>`YSe%cLsvOj<6N
zNiU`|D7`0x))Zur_<;<XT$4e)3o@u_<^-J|JV8yBC#dJx33}~#g68R-ARDd|lrox5
z&+5}@X<|B+Zc8T_CY|y`(@FD98g*Vxqg^>^BpZ-MPb|}@R4I+Zex#DyKq{-xrIOXL
zRI+nQrEPkt6v>lHwPPtX(VRkBX(<%CD}^2|Pa#v86uLN_Oa`}-sjWDfHijkB_l?O^
zrjtw_T*;*IEQw~ClIU@25_RrMqLvj&)GC`qJzo-Oyf2Zs%M%HXB~sAlM7nH{NWyay
z$?sJHJ!wy%_1Ot@FCc+DY!c|#f&@A<8&7tR;%V-Mc)FhuPvu_mblfza{H5c`>vJ4=
z_r=k^@;HhQkE3emI2tyJBXQw4+VUors;<Wp_nBDQ8xl)n_Oax;D3&I8Vkz`R49T>|
z(2eXE3Jr{*rE6n|M>B?=vB%KWr^l(b<v3Mj9H(=B$Enr&I1Q;Dr(ge~Y2ipTc{N2-
zReCi2-V;quR?*b4Ae!|5MN!Rg6fJ3rqMr09+Oao^gsr2fQ#Fdh=R}e9Xe24LMADy(
zNSg4Eq+#1gdZH0YFF7LV=U4<uwMEd1oCrD)96?R%BWTW|2y)<ypvM2gNvSiOGS7sQ
zSXemaJB5>>Q8*2Xgwwa-W8|87j7HWTBR`&FBzf&9-48uVrA9|7Vd@ASuRKCo+m2AH
z{1N*4@Gz}PKTPGehe?t9FrB*^Mr*>th}}4h`agwI^|??g+!0EZDxq|9^bmc|K19nl
z9-@;%hluM|2*n)_A>|bz)c5BgCAAzRkKlu3t$&a#-X9>R$^&%R>i{(>A0UpW`^h_Z
zKaDuBc;0^E7zn1u#9#`u3ML1xU|Q7~M5~Vlkuz%--l$)JbhRmvM1uqAfI%QlP3@!5
z>U|{ZyN~)c_EF}40pwp2K(3wv<gOGz!B71u|CB#H+2T(NrTr=Cp&xN%`BCylKhmD(
zN27Q5Qeo;|3R$<8whQhh&%Qkrn7D^d+U%h_e0xZycQ+l3+f9>}yJ-*4ZsO?nrJ5LD
z^0i<&{@lK#(B(s7F+L=3;X}ynLp!^6QDw|7`eU(+w)5<wr`<crH*P2KS?{FFd^;)p
z)(&z?+(9eW>>yLY9klk2H~FV}Q^|U7dMoNptL}SIU8WZ;a`d8hDKGMPvYjMOZKtPO
zw^Os?b}D(kjf#r5(M7Lq^gw+Z@xSq;4d*<mYOg0r>U&b=XAe?s^q{VT9u&%W(DGS#
zlD_Ir>{0IYceOhS@VS#tpBuTRx>2FM8-0^-qpeR|>A`7Na`$kh-wRyn?CY)Mb8ag!
z{#!|5@m8Am!-b?TyO91d7uvGQg)(_u==p7DGEH-)noZ86E91=S|69nbcnitw+(Kj8
zTd4WdW-4slOnIT3soZQcUFY0P)4filpXx*ro1EySj1xJIInr>cBl-I}l7zk^^?h@o
z%*zh6H^PCOEFH*R(1G0UZ=$f=O?1|M6HTgZB7DD*axZSAxra7Vve`yb=H5s*`t0dY
zhCP`&+mpD8J^g;Yfj-x6pqc#}NX%pdE#urk2X3#Yt0&fzob!5$QCUyyZ|o@Lyd7zW
z*wJG%J37f@M_vQ#XjS$)GIU=@1{&*V#mBYe*}Rt0kFBLa%e6FLWGzKKUPE6C*U)~S
zHN<VWhAL)kY4dekl1;Lu_nU0#j)E;+ov@+KIvW}av7zrPY)Esi4fzgP)8%|?lHX}f
z$@<nLG-E{t*R5!IvK4)Dw4(FMRuul$k~|tLS$4N2t+TQu*Lju{Hflj<%Pr`2fCU*X
zwV-q^3z{8RO^5PU6Q}oTD$rX^)-&eBanqdoQq8H%*_@Kq%qjZQDoVV(ii%=ZQTK*b
z^hbUbEuUOT8TBja`_YxO%Vs6LkyuHG##fMZ%?j!cSwY9mSCGBP3ep{2PBN9tNi29d
z$uD0{Mgq&p<*^y1mzvST05j4uF{5NYGy3<yl){TmNyOijYL}Xl3$H0jJusmcMJCkd
zXF{b*P3RP_2^Bq9Moq=b=!yR_nrpI**06rzKlNxS{VH8bI|7%|xY<(LEx438Mi{E9
zWXSyhLkr9q`X<WI!!e?pHAL6Lhz6{Q-bfM6n?SN|KuU>3da)kKTnVY+1CU`G(3J!r
z=Pf`Snn11JjVb)5F>T5;CgbhKq;6<Ts%*xje|HJl6fB`Yza>;@vV`6XEFsfTBRX@=
zhy=onD9*-+=E)jS)tkk%{?cONj9*M$n-|kb&BYY-(~#VH49O{n#k&kywwEDg@fy<2
z#|Ff4)_~R>GN1};0}_%opvbrS#CchtG86U5V5>fj>agTlJ#xOIM~e#dNGL#${w&v{
zpQ3ui_EMLm8+2KLJi6rPs7o~(y7cSkBHDOs5w)ILM7nzy(RtHFWG1qRM#gpMc)bqm
zTpgO@q(g(6I#f5KO{e;_S!2F7<ppR{%}Q<R7uTkl2`w_Zq(xzgT6EV{iwyO(sEA#Q
z6do+3@`{DDEOa4_tyxGZN(;&6vnGk%)TB4rn$+j3No^*YbV)>$uD{fvCrujkCtibe
zTs6o?UxVs7G>Gq!I_;@ar_m$ow0VO%jjO7&d|ow@=~JVg0yT;bQlmANYNR5kM(iI|
z=~JgFy*sH&pM6z{m64d##Z+nI>jji_c>xWkE}#Wo3n&5?u-an*Z6BXc6OHrfK*D^Q
z=RTiW7tbeu-ua~eRE1_QsL-Pr6>4`;p*npPs^L<hmSJTYs8goT(aNOatV~<=l&OSM
znSMM`BBwefx*n}WOP!VIik=eLaVgQeVMWR~uSk|Lio~;3k?tEP(m5VQN`0z8$LbX*
zEM9@4+!g5L5(R3Ut3c1k<w>eVo}5$U>8zJLaV(W5A5nQ4c`Zj<I^^hOrW}RrmLr*!
za?~X)M@K)((#kGbnwKw2AA)3Q$VQgBRb=VrPZ=5*kfB%QGQ@RMh728K$X7>(YB^+R
zc37G=UzDbfcxlr2l%^V#rX?cM)cabBc3qJov1}>o^^>9m3n_9^lp?+Fk~Hs*B(arC
z((faZG{;erM0F);5w|35dL}_JO%ik?MS=u(N|2|S1YMPqAgxd0RL~<%%0=Q-eMp>E
z*^ASETH-7pRGe%^#YnJGj7E~hs9}c~<(P?4th5+KOwXg3Tl45-$vnDncpg1+m`A*N
z^T?cc9wm;8vg~0|VlqXkXs;-VS&CAcvM5Q<h|szFB4k}7LenuKRO%r@+ZYkj78jwv
zAB1VNTbOPZ3Dc!8VQO{|rmK3wG{h%NpI-`*T!#>?%MqfaKp}dtMu;>ugeZnhh^9sa
z$+Jn2o}~%Wj@^RvbG0C4DGSoF-vTuCK!B>w3(&qq0b033fD~5<5U0EVef>U{J`T>M
zuhnyjGj1*^Zl6mlS=kHs$;_pyul)33fS;Ii{B$CQpT2tXlZOdEJ(T7rr>}hUVt|hh
zp5r6QSU$S4jgNv%`N%+)kA8jQrQ3tNR8hlA$??2&#G986uHdCG1zt+{#X}_zc&O_F
z4}D4IAuV4X+HJu@P4jtZ?muqw9pR>X&D><3$xT-SxXEHIH$7a)O#$58B>s|%I<Ih1
z=xHumdWeg-9l2=4kc(P{xv1nlCuQ|=QhGTjWk+#Rg$E~HGvTCHvYaIPlY^`ta8TSu
z4!W1hLF#)sD9VO|-fD1=3l|4Hc)?CvuCmiaK06%=V<*Ke?9^k-&hj7Fi9WN@oV#pv
zw}y?X64@x(hmArl*(gAb1r9dW{4j@-uFRpz{5f<dY!1zCnL|r(4jq)7L(y;k;iB??
z_-5NbY*zY*Iir6uDfcg)aQuts#Qx&LyR#^sGK=1}v)IEsi>6(Fuq)~hdaU?^g8zPF
zU)ygy6Z#t?@i&HipTUTR89W_0gT4AQ$ougZI@kQdj@`e|Nb482P5wm3il4}_<0p2i
z{=|%zKkz{D58Unf0|S+RVB*+!Y&!EDzqo$Kl?vanWb_+Koc@NnF5gg3?i)TD{)*{&
zU(wb1D>AZQapCY6)XMvUCeB~bQ}zpH4}Zq7yw8X(pRq*lGb)WvW6kMlT;n>8vkKFA
z<=H39DENdS9-q)(<r5x!@e$KYK4P2KNBpVw5iMR%VOixAO88D;w)PZiefWTPYCm99
zzz4K3{DAYnzQ?&u?~yCyJ&G{zQRmM)+|uz5v%}xv#L9PQ!SxQCyWb)uyv4pXZ!tjl
zEvnsngYPomV5id?tdf0$B~K@@x^NP^wol@;`XnxT`x--QUgM*H*SOl~HQx9!fg3MR
z;FqHlSh{ioy}2h4ZvBTcDgU8>{eLJd`5!JAeub82Ug6<wukf1sE0lWo5|7lq#IHdw
zF$`bgyxAAndhG=U#=Jnr_63TGyud$0<M=Ii9RIqFqm=46u6Xkt!)l-7&7kL~#PWdS
z|BfNYjWJA)A43hhF&q>h!^Gid=ur3!^>#c%8J%Y+_W3C)v^+&P`V>9QpW-S0r}*F9
zQ8ddQ#Y)#vR8bwps<$J!>cR-VKRAM=rX#qAYXr^vhEY3X80R|=<3g2TG@E>a-gQqf
z@4yorGkJoGxt?Hl-(#Gc`504N9;5Pt$JqJy5e8j+ghru{kaOiDe8u+&?+-r2!Q6*9
z=J^o+EPRNXpC91%)(2P{`2cxsAK*T*2l!@W2=|o^A@ANHtX(pM+yCB2jqdw6lX@RV
zH{Zv86&Bv!!>9H4@Xz6UsAX{vcM9Lbi;o9Upm-4X?;gYtMuQmq_b&4H+{L=|ySUxu
zE~=~D#UE1x_^4$7yCMhh#+m`VD>;Dgp5H-<b9Zpv{yUgub_d__-NE%k{doOMKd$!a
z#|Ml1S!MO1N^c)N&FI5Qw?2$m*oQt}Z=?H_+qga9HXd-ejoHe#vHRUE<Z8Z!_K~-+
zX6-GMl(~f|uX<7Zd@ojp^`ebsFaDm_i>=RkFt(}(w;kxgH7k42T&M?ahP%<Nyc@#<
zyIC2?yK#!Y8<|I4m{rn+fBm~~|FSNe;qAiY2RBi-_$EH}yNP*AZ=x6PO<eZi2F@?O
zfs+0=P<q)7)a1K?77wpuV99kn7jPXvn_NfBx!1AkaVN@_cVbRZC#tUK#15fO^d7y2
zvQ^jc>A`DQv-%n)ie1Bl<5w}D?kXNUaupM8uVRhNRUCbN1!bD9;P&V%c-j66Dyv+<
zjE@~C*3p4QNgcS%r2}6r?7+OA?daOwj*CvV<6Q4{{Jyvyr`X%^>tGx56t$s7KpSo{
zYr|BbHhlE-GV0V^#+1XCan|-ShRR(=&UdYNs<jo(5?b-omR77?*oudKUBV5$m(V!(
z5^DNfLJhivi}^0$nkOw7c(w)04z=Ka)-7l#+k#1NoAFC)Gww`m#z~iE+^^G&!m~}-
z)Zc`@XPQvkzX^YuHQ_yxCcHG>h&2~kh-$>vO^rCD)`&CT8*oui1Mbajz)QXjIB!`4
z9u#cAH_z&E*ZF$<5>bzd8|zU|tsb9$zlixg7jb9aMKsxS5tU6ZqOizCocrPeiZxt7
zjhG8)wfO?>*SdhUf6n9AJLl1&=scDNokwAd^B5z29{JwYVQzaJE=jAyr`zf<eMuc|
z;H^W&ky`vwQ;VbFwb;M07H_H7;{9JW_@=K0=N8r=1=V1XMGan(Vd)>L(dTM4-p{B;
z>z&njo2kYvLe=<X{2b;so<rOCbI9j<4)5!q!%EI`82`8m4^&s7e|QxJZ>qxMnpIf*
z=Pcg3dlvteo<-9`XE9;zSsYh6i{{@evHn&i>K0UDLr^7JSXJUH`ASTluE3RD707X_
z0tfsnu)@3o6J#pz&{R1FT`$K&IpvtRw;U^1mgAsQIdXj{!_}Q-n3i3JulJOp^~y4A
zk}5;J52aY&S&FN2O7Yp=QjA_zipDaf_+_dDFW)G^)Vvb(3n;<O7A3e&z69+)7o$s0
zF$SI~#;o9CylzvBf0T=H`Hvz@?JvT&B}KSCv<R=QFG3TIBD^tMh>k;r_@$~4Pel}>
z-R43R(ksNrT!mOOT7b#*1sIZ0fPS6@=#K>$CR~6gCeC0(`xzY1JcH7E&Y<(EGgu*e
z2LDax<F?*>yjz%$)*<=WZ<miQ8u|G3?`h0=cp5EhPa|8*X}sxr8Z(!iMnA#RxbeSJ
zxU&5eF3UQFEB2nk^{Y>zufi!z{g#Iv{dxGaEDueN=3$a!9!}`yp$$(SUK-2A#Vxtm
zoR*6gKDjuyA{V1%bJ5^S4!*segEgf&7<MEFH#+8^v0e@?;LSnV@obcD%|^|PY&6@G
zjUKDBF;Ouaul+cQY=bA!w(2AnMxDfeTTkLH<C8cld=j1CWZ{d>EDS!Kg`x+tu*EJ5
zeHLb+Dn}N+9nHknrcBIC%ft}hOx$6fiEfIS=<zcH_uk9E=;{nCi^;&d9vR5Rioi6N
z$iU=}C-8ai2{b7^fu%=Jpv0CFn6{Y3LM(kU9ZjyM<MaG<Ob$s$^Ns1qrJIg-dDF4%
zWg13zq~V_2G;|A2Lub1*^w3Jf0IoDlc%F(ims4^0WGadVrlS4YRLs{*#c7UIv>Qvo
z=GGL{Jeh(e`&hh|rE8|39cKzok0oRN<z%$aPDat7WE@_XjMZAn7{{HAdtW5s){Z1}
z$V)<}14+2uJ_$o~lQ5e<39n2f;&f*s>J%j6zOY2R;*^L|Mu`|Al87(gC!kYr0uGfW
zpi5)|zH>{!<4Y4zQ<`<`Ydj_l#-nv@JkCpu$5%V!@rrpomZ-#I`rkN=8)2a(4o_so
zVOd}tUbBnC37t5U;E%(#uVXRgMl3!qibd^Xu^6{C7N;l{U8Q32!PgjcycdJd>tZlC
zIR-^{$6&Kn4DL{mK}F6O92-B5XRjQ`!}-T?bJ%e-*>W7U;W*BhVBt$NY7a)ENnJE<
zPL9UIyQA@}bu^A?M57{iH12p6h0UE&C|VSS!N;QTxoZ?|S{8+avQg;tD-tIjMdHz>
zNL0#-#Gar?47HEMB?giBOE?m{rXuiEe*_+4B^>lfjKKB25ol!{f!3N4xRECUy(hvk
z{AM_omWJbCR5)^P4@dKr;h3lrj>B`p(d+6lR6BMIf0!J@;Xg<5&gG*x6nYfj(NPrp
zbp+S69Kn+ZkKnZN5p?~27>64V<F5UOk!Q(aZ2lUCAq`<@6C8$%jKWamYbdHWuo7<s
zhvGJ)P|W>$2*(=^A+!GwmM%Gjir+)<Y*PrXJ{W?ZAq4Aw9>gP;4&v6(gJ`>yg+B+-
zrTqXNK6(Ia%?{wFIR|i6=YA}Y+K;lU_v0Dv{b<+|jE~}jG08R<?FEBTb07$X(u0s|
zV-N~R1mS{5foPi>h*2(qcv~S57d+pGNyYn+%X=TDXzW9cw*h#!Isg;=18|dJ0P248
zN9h)SoEPSg@}~Z1%;t|CH~cU!)(>CV_@SwgA65?T#rau#v3m1fw2<G6AIJ7!Wyv1g
zw{s8LXz#(rA9tg6{cc=*a5t+SyD{jWFIHXm#pzgIv|8hfwIaT#`oIUPa(&Ru%?Dr2
z_rcuPyU?|I7aHu_h2qA$kmvVK<h!~P<&N*fWi~r;ukcQ+8QOt=a(AGM`wr|?-GP>G
zy>Y0{8w2)xqx@2Dd^E=!i@LlpG|7wg?s%b#v=?rBwjD!Cw`0EVcD$#*9VLHkL!b6-
zcsptvtK4naCbA7}A9>=Nd`~>-<%#y%o~ZEI1Anx5;PYc1_}Ib&#{@m_+mJiTo_5D|
z+ubo;%N<`%yP^3dH>?kLLjx-}>=1TC=SQx{Rp5#pJ6thF*Ok>jw&Kc;t!Nyx6=~g8
zw2|D3zRz4Rx7-CE`nlkIaKXd>obkVIXLL<-#+RF&F+{}~<=$?={)<~MIcy8Mm~TN8
z+=2@pZbpTI&8W6(GcGmQj2<&im~q_+hmxF7)zJwfm7H*D(h+?wI^yRrM~q+Xh`Pd#
zIR4lHONt#ZXpaMKFm^zbISwqle-oNzZbApQO&F@V32Q!Y#HqH8XcD^-^EPZmF8Pgk
zbiy9FF4$vUm_3?U*yEIlJywrwz>x9{Xuod*GRrogKF<a;y0;!J^4FvHuJw3g@p|n4
zYlo7z>~L?E9S(Zf;VK<Fy#8YyuD`wx-=(a>Oy_lIqrMJ>KCi{+?Q8K${93GbSc~N<
zYq9pj8oYjK4Ne?igHrZu&_Qtx7QMB_nI>EGh_b~YJ6m*+x5ZbJHW=P$gIbX`IKIvX
z%j9hE;G{J=Hd^D#NNZeXXN{}mt<mX?6^1lfVMUY`zFcpGI*L{p`OXq2S}f5i#u6WF
zv_uaTOZ+)yf%$C~XqRAtLYpmcM9l&lzpTd7*H&X%>S|1PU5y3WtFiT$IlkyNN2!zM
zxW&sHD-F$&gUuXw53FL%AFFWNo>e%_tioizRcQQpCB83TiM9Jz;t}(exJ7Iwu6(fq
z@xlsZ!dIZR-3s(pT!G0SmSbnza^y@}j`l9gu|{h-O3avHe6Jbu=bB;8E;BSlGkn5h
zhDnc1aZQCON*^@EX$w<)C~1m46DHWzWP*b+COGM6f&v;Qxa`L=Jk-4mJF}M|D}@vu
zLe^G{yvxw@$x@s=yA;Dhm!hogQe=hP;nDXD%MM^rEQP^OZVW!rWAM%#1_uTSpB5AT
z2qIKiO=u@cnEV=9ehT8E1jIBK#D6-7p??9{?gC~O0WJ;#d}a=qB?-8B(ik;bjgdXc
z7~i-W<EWl7j<6Zy#Qh~WTebw1LYClKn<W@4zXbcIj8N&C5gy4f!q?tLxD}1?DZdf=
zK3$9)=NDr|<YIJkSd3zti*aPe5NrDlF}ctXLxK#^&%zJ`WDHsLFu?392H1AO06%ye
z;6gIMeF6q}V@w|x)azqPj6QNY>toC!eH3HU$Lb+HTwke&a}Mj_Wjj5LSfGa+f9RtA
zZC#Wp&_%%@7A$p9T22>rKQ3bR-$i&Ndl5G7UWC8Q7NM2+A}pTNLEd&9Je013-@JA3
zFr$OQ!a7*<QX3sxw2?nq8+$#qG1FKZedlVU?Q<=JMlIA$&_aE8Ei^IGLPtI=41Kl`
z&(<%*mvIYG(`_M!EMAEBc^4u*)5NNJO;nH9#2PnEG&9n~Q9ezK9@Aizqk-QNG_c)6
z1JjH(&`&@EonEM;ZHqeEq^RR2FLm@`)G<y(9WPF(;p;Xv)W}f7eLiZ~Wu}Jel4_X#
zUKP2ot71&9DvAcEVugh&S}LgG=PwJe^40>}RkQ#Xhb%xoy9M}0Z2=DbnUAczwAfoU
zAMZ!Z$H~p}kyn2{8uHA?ozGOTyio-|C8?mfmkO4!q6h`VR51LlGXA}$%({j$%Is6d
zCM#uhQ&vWipGw$2poEzfO6Yw|30F8Np@yCkO7SS+yfH<TYF0$`R7Et~sfgRn6fs>&
z5qm!>pg@lTZYfm2^C1c-x<LUCFI2$KYzi1SERTOK%41rhJnDMM<HKe07%w4@7E^L4
z*e!?83gqxoh#a2TAcx6Xau~xQhw-Dbc(PFzYf@zK&Q4kUwOkf;Wo2>i7a45olR>_6
z8QgJ92KzV5psAq@UYg6||D>_MLmGGFNF#5cG&a~uqpzAYYW<VKuaBj$=b{vrB}rk@
z4k<jcTna;ES^QNJ6Yof3Nu?y-jFiObt&*q?lISfeiM8(}a88#5ZY`9+&QJ+7aFD<%
zJqcXIFM*d{iKE>War~Gojyb{NXlo~qJX+$|&nb?l$HZ`ds~B$15<~L<G1hvF7_t`4
zaV47=ZW^730nPI;>%=^~v3DN+v6_b_s`D`JpD2zFiz3q`ibd(7IB%~gCRvH1u&OAY
z{wIQlBO*B1B!ZzQL{P_11YcW=V6_@cXA{8<PleIok}%3;38T<HVdP&cjKT|rQISg+
zjmL%1sa*&oa)q#QzYu=jAcUwZgt7cWI5r`O%dZP!Re>NX9u~w?n*~v2i6EXA6-28k
z0eo{y05d8C&>~s@**yiY+e84fWCd`~kGZ&JXf7_fFc&pa=HmR_b5Y%DE-qG^i`MLO
zan~3>rnT|owOoGueSjZLH}PYF0Y8oj@#C`hd|2GehoTjH7$41t{M-02(~J)_6!@@n
zh8K4{=0&k4UhK`_#khUEXlKWZN{e{$CqFL^Px9c6E*@+y<-z($7JIOCQyv_a=fPhy
z+^GD78`n2;V|*4j-U{MIaeHpuq0f!igt$@d0~e;>=0ff&E{uxfLcX0`n6sJ-^;EfV
zfSrrAe!+>FS2=O~3@4Tx;l#aLIdS<?PLz}7#D70I@ZBR0eBQ)?PqR4iWiSU$Z{$Fp
z#T=+Uj|10Ev*VGw?ATbxj^9$)(bSI}Q`fTNqz*gU2(V+rJ2q6m&4xu)Y^a*RhIKw{
zxXPLh$28e6ikA)bCg<R*?m1XgF$Z_V&cVey=OCZu9DJ=l2m86_;KBZX;FbIjJlFmM
zf5Cr{-2WFYC;x?+wSU1{=r2^>nFXoTS;)4V1r3o|=)U_04yOMBu>S+RVt?Sx{ogR0
z`5Q(Ye#3jo-yryS2268j;F$9a+?AUFgQvfs_{=X@;PDF@RDOZO%b&nq_7l2y{Dd6M
zpK$2y5AdmG!S4qg(*FUupT9$I!*}34_#K?+J2d_N25KGOpd|bo7_9mR16<#L6=w^S
z_!YR<eT5eyU*XREFVK7P3k+@f0#ou|K>GP-*iiBr@^*ZN&kH|;^M`2|JU<PagQsB%
zrXln9C$PTq2?V1)!MMdIxWWGkn(lmrmJ=VL*YP8~k^KnLV^iQ%G6iKjr+{5&3j98O
zfVZp<iu(_J0AbS)(8B%!0=nM=B)td04e#Nz#Cw<+eg|&~-obCLcOb9z4%U2p3yBSH
z;mM)5U~KjliaFnc!mT$@k@^OfJG_BO**8$|d=k9MCjs|Nf}G(b2>yHxLLIL`A^J5e
zwRsJ@L|#Mb!wHx=Jpq>6C!lWO1gL%b52~8}1Jfh_!ShxBK|23`uzv6rDCWF^-)^s9
zLhThifBzCD>tDjZ(3haP@+EBMdkJ}WU%=b!7hvuF0-DrcfZ^0Qv^9>yrX%C<+k70(
z3yee1&~sRQ`Z=h1JqIzJ=OFxb3}oBJU~%*qIIkIlRPiymKl%*R%AUdTz0cswl4s!m
z_bL49dJ5^OPXRVRg?GwNq4v!v9J@FQZegQfYd#7Vf}>#fa0GS~j6lM!5oj|Qfj=|D
zU~^*_%9Dpd#Az7fl!rm+?Gq@je*&wHJb}*^PoPfZ34{(mhK;3<f&3oBB76*b?2o~$
z?-6W0`3Pb?9>G<uN5K8<Avj-o2$$m@g4U*oP@(t`4Bk9|-uegNck}_MSU-Squ?JB1
zYzPw14nc765crx6fgk@69D8sd&J^B<Tf6TAC)@{H_WMxKe-GGl??HgqJ$SEo4-Whu
z1i|h>xNu?+w!00&e62y4`gRw(uib^(<hxM3<t~({-GvL&1JKt#0N>&VK-+Nu{N@ip
z$J8B=yL<<Z$KHWI8}C54@*NQU&=2P?^~2VfevsJM4<kzbQ2V|QQZDsDXiOgjZR~?X
z%6*XZ;Wkva-i9Z!w?WL|HaO3}4YeO{fpGgRIGk_`zB}E5BWkxm^h+;XyxI%yDZL=G
zwHKZ*?1hFOJ&<{`2O=_hAk34+dMtgm8yaqR!}Hv3klED@?#A74fwLP#?sq|0Q5Ssi
z?}CG-UBD~Y1!W^Q!LI5ia2>h{J(f2iTk<9Z{dWUg8g9V)s2i}s{sy?K+<-%$u0z3<
z>u@jSI*7VmhpmgQL&Kj=knZb*xKo|LwYw8im`+&0-w8LKT!X-~*FfjcHTZ0G4Q@zZ
zgObUskkWD$j>lbvxXo7~Tk|Sh{CNeQ^jrbK+$*rw=L+P~6`1C`0uI9+aI>ldR)lpx
zuWbjo%6Gu*`*t|n-VUBA?V#q~4&U_JVQ@}6TpDbHn&LL74r+sD^ES96(FW5KmqEGZ
zGPuNFhGOT-@KyUV*w3~?+nrW0ENq2_eXX!!RVxgOx5BZBOQ7F!3EszFf(DmM5Vz<O
z?EKdP_Jb{8UD5)!`&(d(WeWt#v_ST|X6R{e2F|o*ShKAe3XGcJFLyKSdeQ{X&NYGi
z(I$Amz6qiiG=b*#MtIcI2q#W8!e+ll&|1+5JmQV;X`%sMU21@rNewXN-T<778$gY_
z0qmdDLqc^u^dGAS`Hl5(K)oJDeq99H{)^CEcoEhGUxeqD7vYH9MNt2E0fsv-K<>#4
zu-*3ppy>sWnRfxWCeFj3OXuNl@_CrM?K~_nJ`WcB=OOr69n@T`gXx$$Sng5>d3ts5
zkE0I!AJ@X$>RJehs0B91TFBR`1@nJ3@cn)b)K}I(*pV7oXI}$48Z{vCryBSMtAV$?
z8brgYL2Z3Cn5$KT-^@8E88`<oO3#5#=sAe6I|t*c=U~lD6<iyrf)!;|&=*<-p6jcC
zO}z@Lf1ibIgJ)rW#aZ}p_$+kVpM_%0vyl9^5+a9KsH%kI@Jc9ltb|UTN_fv+2`W!2
zz@x4Ls*YE{UzZASHLQRx-U?vG%AuvP99ATi!_c;J2&8h56)A`Qi84rNFM|!4Ww2m(
z8T?yO1{2a{@aSVH-0LcZ$N8l&8C(kNYf3?5K`A)SltAiW3EZnJ0p;)#2yrTbVcin2
z;4Xpor^R5}SPZ>M#o*>u46{p%p+c+}T;3Id%=ID|&ntrZz#>SsDT4j;i@<xP5IpV`
zf_GIR1V<J^vU4GvH!Osw{DmO?vH%<|7eHY~0estC0GrGUpk2NI^uL{fn*K9jRDK3-
z9z6pdPG^8i{|wago`K!t`LL)pAAX(4hk@PsP-mVGxeED^{QWc}44j7a%F|FBaT?m4
zPs5AFr$I#UG+0fXf`lul;9<@w&<<qDwx{5W>M7XqHxFJs%7a}O^5ADe9;AEafstt*
zj7#M~_H-^d-OdG-vRwFjG#3Up=R&h#E>sBQLg7RXlw8e$^LaVY6`TVT>vBMNVGgY1
z$YFif%Z3}x*&ucz8}{tUhC3G7z^G(H-S3m2`|u<*oj(bdi6`NO_eqFZeiDr2PQtry
zS#a)d7VJNl1y(Uxpz4_g{L8Z7mt+=9PiMlHK2{dYicFXnl?nQ8nJgP26Jo_P;p)c>
z;JBRucI6pR8j%6)t{LEq889N20S+Hez~fsdSo7=&_!V&ia$HZqaykLi;wRwTr*!b^
zO9!Sh9fYIP;e&fR3@uHEn^Ng;<x3iL4y3`Ib7}B0HVxRk(m->08f=zNgY=)NaDONj
z6fdMgU~(!9_@u%Ti&Q9`p9*sSQsC4`3aGZEKvQN4Y}l6q-`1u;u~rIf=1BpmSIO|~
zYBJR3Cqry#GWa+p!zQC-uo6uM^Qk1TzMTY4l}X@tJPA^^B|(!}61<jA0+pFW@OqR8
zbq$HYaUu~s{1f5knnYNvl?YWliLmg$1h~+d04oa<VB|;w9C1kiO=8KC36T9Y9$fCl
zgXZ~o))){Eqr2nbx^+BU)QE>FE*4(KLH)HjxKR)X&yK{woUL)7&BTG5bR6V;kA-JL
zv7lWa3*qT3**_M{*Tq7;PAq86jfJysV!)s$2CkLIfb;Pf_`N*_N>|2!qe={j%!z?}
z&yGWW`*8?3eH?7Vj)R`_agd|qAS`_x1b#$==)-7GY>bA*nbEKzC>jphM?;xGG>nKu
zgY2g$@EnMO^R-dHlM)52|6$?InkX>UiGrrNQDFQo5;|^0!n&$RcpV=JaXyh?U>ylB
zG$Y{@ZzOD;i~zNs2>4zR0RyoSaDHb5<XT2Rf<^>H^F%<*>u^Zx4u|53aA=DShi5y(
zf!8V=7|n19;tdC%!DH|z{TLM39|L=_V<0|s6eco{LXX2yXq7w)ZI6z?otz`^amx`<
zmOBETqle)_{$UVxKMWDdhk@-y7^Ibifu465JXH^aQ<I_KQxyspdqQEcZYbz|Is{8E
z9s<YULl9wn2rmB&0j|p-;C3Vgy3InsjGe_d4uV_kLEyAG2(1DK;n=_d*m&XqfWraM
zl0E=BBm2Sh%zkk9+z+X$`{B;(U{E+03}Jr3Fli7BUf+V?V@nXk9}WV;<w5X{BM9od
z10f+X5CZH1!CNd4d>-wC!>9Ja8TWlKuwWkuPX>TnbpW&l1i->20Z{hKAM`r>p(oNG
z0xbPOL%<(C-1URbEI%lB_JbTHKgfNx7tWsD3q5{&;oIW9VDM`X9PZcy52E&fiS-_6
z5ZVJYv>W<!cSC^tZctI%4dZWpq3*mdBpvXDkY&CQ$nFbaJw9+E#Rpn8`M`TwAJ7}$
z1>qIDU~KO$SZlNkdS`aRrfWOlL+nn-T(=W!BzA((=ni;ZyaTTJ?11z7JD}!=H?(wk
z!@c9)Ftf%R^u@g)c*G03ioHO?*9%S>c!Aij?QrJmc7V9;@XT&IWJqlX$FXgoS+Nax
z{kOq)<8AQyuP6NJ@&xfzPhgxp!B5E(>Rx-m-#QO)3Gslg<sM+h$KpYEaLIFrzuVlQ
zPTL*!esu$CcLT8)H~78I4W^~s;Olc&;Hq*3)gV_`zswa9xLo1hovommvlS9Ox56K-
ztq}Uv1-Lt0pfJ`2EH}8oA6XaZc;yT!wa&07#2K7cI>UMaXK;MD1$+y)K%(y!Xf@gb
z-~Vm~v);{cGGjB$xNe3$nw#O>XD2w=?gXN7PS9fS1bY;mKzGs+W-mIzlOv9B-O3SK
z#T=pInF9=*b$}1S4j{AK0qo~GK+eNW@UCbR*zVl~mv9ppac+XPfsL@?)JFKSV<QwB
zZUnc#_Mmag9%i%b;kl<h++Ac3{l7NAqnjIGDt!aYbK3x`v^GG*_w~@%xgJzg*F(I^
zdibre9u9rA1I}x9a5~uzRyf<i7j-+h_+=d&xw;M<lGg#_ypCmCtOKpDYhlT?wXim2
zEd;u(g%ZuRF#c@~=v-d|QE6-7wd)$#ti1*v{Imu4E?fAPVGB8)wqT`a3!Jky(0|JY
zigRordWQ`J8ri^Jb{h!3YYlN{tf6v`H9TOfL5R;9Ha@a~vN9{+2(|*hl~(Ydh!yM_
zvxJ{DmXLYa5|-Io!nBMfT%5FkW6c(@ImQA^9V|d!)dF<CtOo2{4R-0PA<$zr6zQ#o
z(ZA-f;Ep*Q%r}Qed(2_gGIO{**Bs17R>45kD%c&m3dC$yLAT5*h<&pXHeOl@+VLwv
zc*{!or@0b-|6Bnay(>T}cLjjY3fN97;1u5q7<;lD^s1IaV(4=CVzV4}$}NY9cV@7!
z%?x;x&ETA?893{jfy6&k7#T2ynnF`Z+-C~=SDJ#am?`XjWdb3MCXg0m0u4?k@JiDJ
zlxLQ~&fCkN_4G23_FD##X3OBG$TB$eVkvMpEQK@2m%>V?rSMsEDb&m`5ZuRr#Tf=v
z0~ioo$pE`J3ljuFEd*)_1eRL~_UjVV&LQ}64`Edq!kL2zTs8;?<q^J30UW&sFfS9}
z;tl{;0uU1b7<y(5MHh_WP_!{@butDUEn_gBT>{p3m%x^iB@ldI3FKKXfj;>q!1u`r
zHe5G?(vwEO?rQ|QO^jen#0cD9Erz$viy=I5F{rpNhJM4v5Y4?9EQSq1tkw|TMHs>z
z2SaFEXb6q71}q=J0D8&{;Kd;W;8|w?Fy8?7eb<MkTl&CVpbwrw`p|8u4=Aq>4WIO2
z=}kT8%hiKjetIChN)N6{>A}(Wy0H41E=Zl!g|EK4Flwd?cf@t!_M1g;zhe>nm$3-g
zeHMY1=_1%Fwg_@3bzr<*2Nq}OK-w-H_-UfUY8xGRJ*f?T9ojG_QycPqw87j=8@`Kc
z!^O8+aOkQQ*qqb?^*vf3uu=<VrL^GZhlTL>`a%%OTL_u~3t_FrLO3kH5Sl(~!c31Q
zSQThO(SA+fT%!qr^EKh^PYu{JpaH+iG$8G;1{iGAfYF5-aAJ-I*gsMS`C4_Dj#h`e
zF6wZ}P#voI)Zy%NHMr2M2G>*6V9Z+$xJ=YwiMSg0zf*;VPF3K@Q-!VjRN;!1D(EPy
zLdlN>pgOPs>dF^@`OyXN(qRE4Em{D}xfa0R(fQETFduS~=0mX8d~jYiA8f?u!>acx
zU~xkQHl9`i-(VF;T%!U_sw(jAk1}XIP==ryW#~Gt3=7<pA>LRSehIOTy;g!BSCrs*
zjuI&BQ-Tg_CGeTA1d6{E;pu%vD63Y4gU1zNqnjcSD1xSlBB;Dk0M$+fFgT?Emca_J
zbFBiTt1G~bfAYZgL>??J%0qUdJWPAZ!zNRCR@=%0Ov^#@Ejd_GDhESH<Y1qZ97q|+
zK{vk~gujx7RUNV*oFfbW?URKYwz5#8CJP1sWZ={j87Qomfx2WF=-w#<lPhFEOkM^o
zze~gMyVB5CB@Ob&rQv|PG&~_`un?DqwkauC+A9S&N~FN?s1!_ZmV&IsQm{%$3T7rH
zq4l~XM4gcY$3v1}xJeSE^dy0cUlL|tNx<JL62N;(0^|-z0Bn!|R~-pR;*o$GFT{bX
zLmcdK#i2M@9RAvg!**?PxW_FHHZR2BcDooj<o?glb%5pch4J<fMVZ-q%X~lnIzJhS
z$cV^}LdYx%p|ppJc2v^R-f57cz4zXGeKIrSe|w(a^PczIbI*Ox>74tn^W0C4^LgZW
z=KJJ$i<imqYQ*Ju4jr<*J#S@slb*`*`fkbcGSy{yFIUL&Tt~_B?7GMCY~PLJJ@FaG
z^S?8W_vX+zUd!rnyiqdaco-PVyPGqXm*GE_H`Zh<Pxts(Uf%k#ywwxN@&Z1|@Madv
z@cct%cq^@Bc-h)AJRKz&p44<1Ug}S2o<X%VZ(W=;@1LVIuUt=>7r9fK_hf-I?}4y1
z?`G>5p23?jyt`gwcy@+kcmW5;@Um8o;SEWT;msKw%{!4dn&%fZn#VUA&D(N%H19b^
z^Tei&=H2`$#T%@a;_1ap@xDEl;#ppm;>}W%;=NlU#k(xQmAgmr8sCrNJ@*^MyZm4j
zZ_9~MyjdGZ@x-Q#;(Z&I<PBDGh?V4hb&}+XT$SWaSCiynsU%NVQj+J@Bf+c8lHg4W
zkl>wpD8WnAlHkd1lHlE%F2U>gEzZ-d7w1(aiSv%Ri}U(!it`>E6z9!YBhJejC(bkY
zD8^e_BE}nt5aY$!i}B1ZiSdr9it!W|i}B`5i18-&i1K8zMR{WbMS1e(qP%6=qP*=}
zM0vWiMY;Vd%FApK;r&Y!;cf8|;XS%1!fQP)!s9-s$n%*h!jt?h%rmYR=6z2V=H2lW
z=HfTPJWoww-n#X|yt+xkJd5u_ybU!%yl;s@yks{ap2aO8-jPE>ymchRn=(;|Cps+1
z`%xvx`;s8Y8+H}s3EmRqjXxyFQy@W}`b0tAy<q`fbhQ9)AW?v~!d-x8WGKMPKP<qT
zw_bo}Iaz?$`sp9NkNro9`u`|-?LR8`_LumHe`%)CU((v}mtua6(74wlWO{Fe1U8M3
zqreC)fA@zP%>Iyv@*g@Y{)aZ_{ibDhziFY`Z(1eun|77`A_M1N6t3}$zE1i@yXt>Z
z%(I`g;M7kFoBfkEb^f6CpdaLN;RhXB_JbA<eJAnQ?=)=ioxbwEli=@Rnw~aHJ57hl
zeA_S;ix1Pnf^X#L@QuXOzmfffZ#28^D`h?VN=8~=>A!hjNvih?4TOE6x~pHPdd(MV
z|NfaqQa{r|lh35J?K8cU_)LEbKauw1PgJAviH^#DqJid*Was~p{?q+PKbC!@%uhq)
zn>a)^cZbMSX^5;vhsZns17$dVpsxo%&^q}KWYNN>jsQOGyU3>k1wLtf8zg?pAi0<f
z($4LJG-mW5wUiCeTlWEqJTX9Fa|h^EUq6*a_0!Lr{j^fCpKc2EQ*Le_EphB4FO5E$
zJgtuc+IwkJNH6tX?ImC8C7qET;$`;G6uTahRPQ12DLo|D+D*%YyGi3pH`%T0rjkEh
zG&{44Ozpa8NWF_L$#>DWwoZB!(n)KscT&&#P6`p|q}#b2bl9nbwrX||o7F+ez3p@?
zx}6>vwNtcGI}J&+lVVvLxqG&ez?n9>wWN)HeQqWD)K*$%-b!`5TghcYE1hU=p*6uR
zH0fFkNp5H%385C6P|!>YF3oiKL^C~F&`hO6O*A{Xi5@&`qJdpaq%(n|&5iWnWh2eL
z(MY8m8|jf~BONYjAO+6`8n4|zV#_&vuP3>TdRk#uPlq(>$!=yn75CNAjQBdbd%upl
zcGS@cxjJfZswIP$wIrusOX;kZ?nu<q=877c;8R1xx;50friNPoR#RVIHT`p`ra4;G
zq`tJ89EYo@E~AQ8KB^)Y%_<U|S4Cz+l_Z^7NkNvCv`f8`My6NN>%I!IPN<;MrWK^3
zR>6JbheKC6sl=3%*1dAF+*wY^6UymlTN!PSEF<4LWhAOnMn-aF^rNMeEW%4^#_dwd
zR4ye$*;1mG5)uk8p$4N8N>?tSSlJSaX(^`H;l)&WyO@4%FQz5qi%GYwh+-p)NYc27
z^mZ0e<HRD;>@1|Vm_oYsppYi36;if*A({3T(2m3cnr2==fA$wp@5};f<L6U%YCiq2
z$)|~$`J}WUpA5g|QOdhKl6;&;I;ZleaCsgn{mG^D{9ID=%%$%0xnxJVq$rw8KPz(R
z{fiv(yq-gMm2&8UOb%%`XVZm<Y`SZlO<udQDN8<^{`6(hrsOPgu+E~s!&$U%VHUj~
z&ZI5bnN;MONjhgUNqk)<C5mLy^~(3OKHxn`8N8?dt?#K)?mgvqyraUncT{ioj=mmv
zNAmOD(eAGqWRsae<t`bt@N5QIugjosq8W6#I-NcRrIV>)I!)h^PMMR_$*}J&QOa8q
zuzO3@$KF!XvbPjCl14toY2@#lMse5DsAO{*eV0w6C7o~RLc$x0vwTC6ns4ah;x|<D
z>ox5yd`%VJuj$Oy*EFK^n*3#7lSXGM$tI>!gH<X;9Z4m}rKxmhB!#Y(q|gn&6ndba
zLhi~blsYMe`umb;-s@z#=#WgQTFEqNO)@<YO{UK^NpvkViGCU<k;C33S}`Yy>b|}r
z$DCKR-|H34xcrKSH@%`d*;ka)l}PDHiIi!VNR=lOX=qg<O%P3_?X?N?Ff4)c?kCVx
z^#n4SpFpiY;^{zPJeB#z(^36+`mjBo9?8cO??W67X2emrYaAI~h$A%?M=Qp~k$hJy
zjZ2Otxks@y^K>lHx>(Ybj3tYv7<v;ELjsmDq;@oh0$0S4gm4Vqs)?qduxPqr5={ac
z(d4-}n%Lhc8YqvVfZ!<7HI5?MA4M_?qUg)7NNOvIr22qJYQ7ywgL@*meH2NHen!xt
z;s|o|kDzj+2%5Dgf{f-yP{WUK+EE-%>Hgug<#srg><OoH^TJ8uR~W^YgwdtIFj{su
zjDGA3qv8c&6!|BVJj+AL;U$Orq2zHel){&UQh`7yeXS0mg%Kfi)+~e~j)c%Zg%CO}
z7DDeEU((vRmlSRDl1S?%Wz$R28uOAwI)f=LC7ARc2a|$sF#SO=RZIw`gux*4dmlvZ
zUL3A-<sCtkFf)iMh6CwOQ6MP<29lm}AjKUBB$1_obV?|YGV20pO-ulVTL+MWRsg-`
z1<(PR0Q%bPPrhmXbkNP8<gWNrqq09mP4_4JZ!bu{=mlv9zMvELUeIZc7j$*`3$hY@
zK_N|kRF&XIQVxEkdd`oW;YZyQ{b=jZa|+FQPV&#6lZ(-Fn!Nux1ucF~Oz1f^*ZY!9
zoG-!Nm;UJZQYP~yw~4-VeaMFn<@%7apAWG+KD6n85A9m!Lt3If^q|?Bf?s)4os&0B
zxadtsw|Y~^G;b0den#3Q&#3t2Gury_8D$)MMmyI%qk8FQbhGy<O?mf}a-Ke=`!}D`
zroB%|a`97Y5_(E0jb8LT(Tkj%yvXLF7uj#~B99qf6!F883d=p|Yq%%PxAG*d)1DNt
z(UU$+@T46dJ?Le=2aOB#AoB+vByiM&EY^CEoQwyB^|{mTOm`agai@^m?sWE`J1tdk
zr(crpRNm=Eac|wo+slm}-*h8~eQxBk)Q$Yb+$gopl^S2Wl9-1pZP0h6n|oX-b+Idr
z5_P3BtuFLF)rFS3yU_C+E;MbA3;8W}Aq7zv%5HV0bFZCA#>1I1^qt9guQMqvb*3@m
z&eY!igwoTVP_Wk%a=-P2oYbGtlNC?Md(;z(>3&Sb?;g`vpT{)k?qfP~_%V5|c}(px
zk7@0o6FKBM(Wd|>I$`QW<tLnI-+xY2J<*BIesQFc5=Zh0cO(@XNBVizk>a;FlHp88
z+WN<VCf7O8aDoFhK5?Les}A&jH;2UzR4C>^O&yQud-@}i_jyFhcOTJh%}125?h*Zx
zeZ<YFJ^2*b(@3a2=~&xS<ym{$z15zIX4%uBzjoByU`G#=?P$Kc9hDl`k-54ZDXp|4
zQE59WAF!pDdA4L3Y)g6;wscI}mee<Mm}yH#M{MX~gAJJ_+fabJ4HezAp??Q#Xv1n7
zG9GI~IUlS^zQ~$xhFMdcjWsFjT2u0NYohtqlqzgZJKC+NDcy?h`dZQK`&LwP+=?tV
zTG2LnE0X$YN%b|B6q9I4POg?@Xkba_4_MNv)f~og<&PF*SYknrkrov7$bxG1EJ$*<
z1#MYsL1v>YsIbqRrstW{t(WFhV`WZC=glc*yE!dcU`}D8=CroUjIuJ#=wyHy{WCM8
zm)d4@WUCp;&NZV7Av1c`{*W%edq~?~JfwvWAJW(}4@q##L;5xQA^jG7NW$%=B=^pg
zmcB5hT@Ou3|BNa5Z!x8YIi@5pY)Yp)Oep%j35f@o&^dDxD$+5bjmjnzGv9<1#7yWy
z(E~DfctDYRA5ibu2ehjEKG{0or_TrP)5VGR=~K-;vi7`3D~{cxj%oMkWwS9EKR2dR
zXN*aGo-rNlzDs9c-X)8RcPU}nUHbar4sD6KL%#ZVXf)j+>mRpCF7-A=+`CPOlx~x>
z@NKHjGNK4;BXZtlMAp(qWM5`TzAlE8aoCVP%Nx?_=38XycZ*tdZqe>Vw<veuCLM^n
zNrN|Tk_+9WUB3)yT$%xOn;KBQvH`u3G@!I1eJXyePkar1nkuhPn$0)J|HTa&Id_B3
zExkcaL)S?={yP0Ix=v5oby5?$PSQEosLAdcrS7{%!4t00i~6e+=6jXi>s+P&#aC(O
z&=u~UE0l2i3QgE_h0H~+kYN60dgOSS7HV9kQu)hd)v8CkgY;;Yo*oIU)}zngFVUwr
zm*}tAC7PmoiMEctM0cw%QpU53G(r0!87{s^y+ar1eBuTAYJ7nlw_c$2qb|@;sV*hB
z>yph$UAi=1myQjdrz3Ia>Fk~J^kDOO3YIueO(o}Ow);8KKY5NS=AWa@{Im2X{w%2&
zpQV<qXURh9EUmB5p`TtllzT>p0+;BJ(`Rk6Nzo>!huRdNs!iFl+B95$hSvI@p$C`F
zQ0<yCwCT@jiqAYv^yoBYYn&#X8K+66M~iZ!w8+6oi_UD;qHUwJXidc_TKVi0{de{h
zsjoOihTl(8X!=R&w>e4c51b_DX(#DV*9p22b%KVCPLS1>6SQFT2`aBTPIkV>N&Uic
zTCnCgiH{tk;p}7d+36VlK6;E~=N}^)I!fo0k5Z7?QTnWQly*%%N-^z6XkNq-3N$=I
zYqlJr;?YMqov+EQbxq>yY0?{>CV2^Il6lc#y6bV69%vsXrxk}O^5-F{%REHmoDR{U
zV~6PFf<q+!S%dW7Xwaaw2HiNQL87xXC~)8)slPf%Qf3FKY|lXokUvP~-3RD;>;bxT
z{{Y=kJwO%{4^UvcI+aJN)9AbEq^_b)fpY33+Pa@^gzu*Tqy2PUc|VEB?kE4|eY7`h
zA4wSPqoQs5$ama6y5GE)E`;r+(?)ygtnyyECA*iLTlUbK@ICb9_8uaYJ!CO{54E+a
z(atC}N;6iYO{!{CG)axlckL$WxZRXtvYSly?55q*cGJB6T_l;bi+)+`qVETGk>H$N
zH0h%%ZAeq4^Y*Ir;;1V1Em9@L?>p&f)=m<4*+~!1>?Gk;JIVRq4pJ!ILAB3z(4$K`
zXwQE;XsYB6`dXtxbwMhWe^Z5Wwy995oC<ZfZzqY^?L?;A>Ds>SlsJ>)hm`4DnlhC>
zQl{-Elqq+aGHLwTMgrWQXLJ95(dHL7u6`c1aerCg#@_yMiapgU6yw5oDIV3+Rs3fA
zP%){}N%6j%ui_q+2*nlGQWY0C<S8=08pYcoU5f2NUliXK3b4?0aYj+n?3~90#*C-2
zw@2r)p*2fbsrV{(uA0XZe8JvoD>LgkyV>|gb#~6_2s7QJ#dQ15v6&8+S;%q&CYgJO
zy@)hnk;7(eiJ}#o^uU%Gy?w;?j5sl`^)Bqxb$8|y?8P)2yqV)@Kc>7ffZaVG%+@>(
zWml6T*vh78X813Tsmy%Eo-3v>i^Ff&_p9mbyTyBE?U~I&L-W|F<U$sbRl;mb%9&72
z6(>tA%V=(3qgtBTr^YsBRNKj(m-VoVx&5s6HJ=Seeq_NuUzn8rFq>ldla-(P!`5&A
z#}-Zy#3)N4WPKCHQ5{j_m5D(P+{Y|JB(YIW3i8IIQPVL7`l>Sc5H%J%$IHUPP!9fe
z<Kh3`L|A%Fg4)l?_;E-c)^StuS9&^*UYG%&cQcVEKO0Tg=b%1kE;6Rghx4@s*!O-R
zevMxYr?X2iK4B>=g_ome-wN=&6=2l65}~VCqv-A$w7*}A{!xVPeLPgVu19L!2DnYz
zi1Q~Eq2S9f)C>eqSAyoT%@Fd~g5Zj+P?1(fyUKRlF;RhZ(hfZTuoEli?ZR8l-B7bv
zLu1+=T>7{de`f86<34rFdvE}6!VltTod$l39EP8QCe)4`fxyF~NC`Ox<I>~UK70aG
zrk=t#Xrb}+X%w5CK|z2vDl>J^-*FaWgw6vqb#ZUw1r!{*h{e}0!QEC56a6nEIOPgd
z%dSG8=Nj^UUq_IPKHTRRz-R4Eq$uCQpoSsVoi&1+{%y#Z-of)ncd^UU7%~C(@FC(p
zdJ`Yu!6_3=?l8fobEf##Yl;n*9%2mtA+B99gZ7Xay04n!=a4zPuUeq|g9SV;TViOy
z615ksaG=KuS~}JcXtTze6E^r+YXkLzw%Al+i}am#sCsXQ`^+A%6Yb%s@Ce_7AK}|f
z2Uxp1AXeHDH!K`ExgC*s-3c3eoN)N~V@Q=f#v$b=_%Hbh5|=rnz}FeKWnGYN?gGDI
z7fjW4g+iSxns>TkVTv21mbk;#(;Wd49yn^~fv_$QcpUJ=oD5IwSm6b!r(U=u{uH|U
zPa)j$6pE_PAeZnA)-%2F%*GpgzIem;xDTANd@yT;FZQ|lV%A?@Zv8xmU*U78ukk~G
zryo52`C<9l7tqOn0jA)OBxiqAefNj!u>kx?3&7vmfe1Da#MkaXbnXa(QD_iiq=Mm~
z7mTq*!Qd@_3E@XCadYq`?01D=XJ`n*B|?#KE)-`oL-Bfc7*g(s;Z#Ey!g=9%?i>!q
zp>UX}M&NQ_1cU@4p>#A73*#g4YD^S9or^-{+bEo#91V|a(YTWv4Y64<V1_Z6Ssa7#
zd9moc6N}u^SZFSYgUj7GZoS1}-28Z`-;Re;Q9K%EC19RG0_1ZNkTxX|WA!+sB_d7c
z6{enkg@v)N&@PmO-3O9z);|d=z9b=dOEO9yCnKaa8LJgipm#3?hYM2hWpXN%&ZPoz
zsrc|O75jF-hK|Q;Ea`lW7Yc7sbmtAivfe;(Y#L0Crok{E4RbzlW!_snF?kEkytk+r
zmkyz$>FD-L$Ai9f6s^oasbL0e(lYQv<Q=B%dWT`Bcd)8{hvKR4QK<DErh)Il?|YB2
zD>Bi4Jrl+WnaKK)iR_J8cyK=ppVG51RX7`ew`If2G8;oV*%*<?LFUdJDBI@XL4FSO
zN9AI+YA$STauJc63p?>V%-x=cTjqJNc$bI00{N(9`IvAwAF@gLDEOKWrBwyEez^dr
zLJBads{l7<6~g^kA#S@BVscp_Zb}uwNx2BR4~p<NsR#!?7vbE}VyxFGM((p>OsXoz
z{4pi?vaJLr#w93<D?wd<2?A%AVwGko?mLviF0&Mxze>@qP{!@!GAMhMVPZ)cLWIjP
z!YhZIUO5JQ%VAMbjyACh{M%50R=o<C`BtE>tOBwkmH4}^5)tPsG0U?Ohw>}2?{_7n
zmsP>(conMctI+nk3ekgA*fy;i&vsQK`3^@zs<ExM8Zlxu=v-Ta#xphWa;m|Mv>NCR
z)Zq5yTI^G<#fR&)IN(!@`}wuFHe8D(bLtSLR)?=fbr1=tLt}9rjDOalb8bDx@2SUV
zqk0ti)pP5m9wA@rkvY8qFSj?~(A5SMxi?@;dIKi)Hef)e5!}fdd^*{Pxt5KX8PSOD
zibfdzYDC4XCj8pogh9O~ggj}&s-z}ZG&LbWs2Pq6o3VX&GxDxAW3p>A)+9G$YEv^x
z1X{3fUJHCwT99<Hg?kUSKqI;ZHRUZ>@T~<~C$(b5hF0_(ZN+8dR=o3WMORuYs#{v&
zCeVg?v)f?0xeXDg+wjt~4LAJSAeGSugVr{L|7%11jCR<ucC0?$j*vU;_~_9NiB}x0
z<oM5A{n!rJFYmxB)egj+?|_MU2WI$nz~M~?O6oe${;dPq<2qryyb~fjJ8@E{6Lt?e
zVe8e2V+o!3SJH`F{hfF#(uIZ@UC3YGg-7aLn5)+Xdy6jQ`E;S~RTtircHw4U7X*d6
zaaz6`uB*G@quPzTXS%WcPB-EncSAa)8%XcQ)|zfi|Im#>ksj=y+JmrFJ!nwrLF<Vg
zr0VxT&!z`oe0s1iz6a)cJ#c95!IdvPm@m<bxM{tZw5k{C%DvDz(u+NpdpZ5mi(nV7
z{$(#truO1qaW4$oda>neFM7rLaBfN;-Yo6IAnU`Iy?v-S-3NR9K1{dhgOyt!@`L-(
zoz#bhygr1~_hJ7)AIg9CVfpBOoSxQ?tIPUvSg{{dcK0LUSU;9t>WA^2egxa}Biy4O
z_QCy7N$f{sW<PdU^uxWaA8&^Gkv7tgr&0qrFl7Ke3kGm#?Ew5X4<L8X0P>Fw;HB;W
z&fFZpPtyVDISe4xi)$A&fT7p{RHhBUHGcqWss|9+HUKgH05<*@fST|inDih<O&LVO
zT&}!g5dP~2(X(X`5^94GKRk#|twB7$IEeoY1`&IYtGD9XISpdJ=ODJe7{vInL1e}a
z;=t=cWMmFPx`=CAH3;RVL9FZ=#IM0Y1biLDia&#J7v`gN6d#hZe8^7W<M&KHG8gc1
zWjP-|*6?xWKRzOq_^8{?N7rsX%GLRJuF1#VlYF#j^Re#&A1|)(QLWF%fDs?<_xMP8
z$cKRyA7kzLc;v*#pbH<%J-N2td}#Rb!2<aZ58)#&oR2Nh9F61nS9~Ca56w4x98Bk9
z&3it+W%2PemydY`d^i<x&nw|%EaziUB_DID`4Fh(BcqOwa}9h9HS%%1nUl4JlcAN5
zKW%*cYUiV|gAe~sKK69+(ahmMHy_~~`Z<j0;bQ^^Ar6%sZ_i;dhcK?490x7#K4<R!
zaIT+Fu0IE^Urnxm3GO*Q-1FqQ=Nfa*&#K|$YZW(#oLr)ud_A0;(VV<moZR0z`3<u9
zsO82pH-j608Xs3v`M8$E^_9Tq^dKi!B-c+EC&x?fS^ziy&-oDK=4t^qXKP%!@jmAI
zeZ)t;H6MoNe2g~X!}cy8A8&DUc7u<bm-%qj<-=Q>lac$s=pNx?=|Mhf_VA&%lN;++
zKK6qTzx907ujXT987J#PKK{<)qe-5Rpz)k6(%cxt`M4v<wg1JfBW`_I@&^&uJ&1yq
zK@`;vBDri3j`@R}9XyENse^bNKZtP=gD?&pM7j4MWZk%R=)kQz%RwBxKM18;gP3$>
z5Ors{zD^8crUti`cXREw4dU`fuJ6@@=vq7oq1l6wnmh;rnL)IQ4kG-|0Cc_#K%##D
z9<2iyUo(JvMFS{*KLELu0VqWe;3&6`w4QN$@5umGTMyvxy#c(^AHeYo1Nd-q0GAIA
zpl&C3ZPNgZxP2M6cmM@622d+EfC>q2FLHa=>2p74XZAz5u^)b={aBXOkHF-9jE>~q
z3orWN@79kB+kSky-;a?S{rG;aA1z1wk+`QHcenIo1@)t3aX(H???=<veyECY_kZuh
zP=6m5HTPj}Ss!PA_2J^HKAa5g!)EV3$T{_)@?js$Z}wrXZXaTf_F;uuAD(XN!}nEv
z*fOsV_a^osSfURZzj~2B*o*hgy$CPuh55T)?2hk+ND#-n_hOq(FADE)RFC6NaP@n8
zp{CReOYZ#{HK!MOa=oY!=|$1E9wc@5z@?@KTDd)#p4@}{kRIrI_29d04-D`2p!ZS_
zRFC(-dv_1o6nijnc@Gq)_u#;o9vmO(#vy(;HaB%+Mo~8gUw0!cyc@@#b#p&O)D7pm
z-I#Kz8;_56<JZn^Xl&@li$&dNo74?i@ouae?t*Gp7xq_j^nDlB#dbl?uL~WHT?oA2
zg`<}_y>h$@UaDPKu%Qb93%f93Vi#_6I;rGyCnmRb;vlD|%-(b&AgmKfo}9k2>O}I*
zP6TOp!g7Bnj&AD2Y);2D$alh8q7#dTJMg-r16#{Fke1egW#ODo^z1-~C091+fbQuI
zc<kZYZ0tbgq7Jl7=s>ej2g-)pk<{1@=e%~DNo>b_|8_Jww!_M}9SbhBBSoVfTeh?#
zZACj2rnbXHydC^6ZP>`^>wATqzD{aGOF$d`IkjQ@y*5n0(1xiRZIIsFhT&yxsF>V_
zK#?}+eQd?T##YqkwBmkTE2j9iBE*)n6>hcS<>^*TQfr0rdd^Om+lu)zt+@EB1p!?x
zs4Q*4&(s!-4{pJ{CoNcVkFzs$TQKQB3;wbeG%RXCq+AOO|2BjAnlVt(47apq@IsnV
z?A(lF_nXnI+l<2pnvu<#v2;;0tYn)}_ooT7dzzqC)&$qoCZq>8q1}<Qhi*4PQl|+r
zdzv7%zKQcin$RoNgxqh9@NH?t<-A6$j%&n+XN~aV>?zf2jp#qp2-B^NkXhac*NKgg
z6=;NIUjsgsH*h+s0pWoS7;$KTvQY!fPd6Y{wE=x=8X&{jY|F$Nuz9E+YPI#)pHYw9
zq4n70T#qHjoQ-$39^Gp7NTPZ?oLP@;67~4|u?|snb<liQho7N!c;Z}#xyE&f(5Zt0
zXD^1VtHab8b+8btL(hj=Y^kY*>)Tqi2G?SqQ!TWNYT=?)i;Nw$=w4Y1ktwy17p%qN
zz8b75<B(i~C4M!SW>W*P>ow@ptU;C%XR|Ki?A5U~Sn;D8{FZ72=2YWQR5b+LtKomY
zn)7+9QK?o9?RC`{;Ot*Lk!o}gRN+WP6|z&Ru<S(@>};ygd94bhSq0NgT>XM7h)7pK
z@mnP>H&(*qeI;IpR-*oKB|aNfLRgEluT?4`x1tiV6Dl$4PX+$8SD-hq0>#l4h;*-j
z_5BJQKU;w%yDRW{bp_(5RN$IG1s3#_qq?XZCh_H%_p}`EOv`ahw;Uh#l;iHYatKW;
zhq+KW1p3Nwi}M3|63U?dtPDvH%P{#u8T9v-A$J{Do>qo4LS+c<Ek#dpDP|{>;?UDl
zSelk1=6ort)k-nErWE7kOR-R(6zjW7u&uBJyJAbQ+oJ?K?w4SbP6<}2mSE<}5=cxe
z!Qk&=6top{b6AW!5yen-F2=;$#b`QN4Bu_VIKHG96UG)J?^_X!8j3hQT7<lyB3!cP
zey!t15&RApVI3<%)|?{jlPE$BzmS{fLewM`V!uxzvds#?yHJRLJ%t#vwh-5+6r${J
z0hV_bz#^{zb&&;F>{0-O+XYBHS%AM=3&0i^z(~3PQD5@WUYn0`Y58FO`8aEx51Y&R
z2vN^R7B3%7)AI3IFdxD_c^F%mhbb|6nCX^>*>^drl?Qp{Jd9hC2T_?keEX7%w%T0e
zzsW_^i(EXm%EdLkT<qGPi@B7G@AA3G{g(r`&Kzjv<zQiC4hEj&Aj~iay2o=cXLAnf
z=I7wis2s4NZ1h)T!zC#j8@;p9Vww$;bJ>`&D;voQ+1Nim8{I#$VAPZa@poBp4$8tb
zyDYr8nuYlXvk<gC3-hLD!B;Q~le#nUC_fVdQJJ{roQWpGOzb$GiD;!vOqibuBgstE
z^528X-{W!Od-Qp|$EFAG@kIMQI#k|c)w1`vH}*YpzP^KW-8&q3^A4_l?@(p&4ssXY
zVb31UuU`EQX%pY!%dZT~Z^?kh`wW-`XCTTh1GQH(@b5qd=B>|w%CrpV3S_{lGaUiB
z>3AESj#{U53>l<D<VZRuv2-k&oerL8I=1z_#oi*$zmIu~Q?75JbNelHPrSv&%^c=)
zWl64%pN3OqX`HQ<hP|F?*mf@s>rba)iE<j`7pFmTOd5tizCnBC8x$tJLHx5fcxv(n
zCOU7Rv*Qi6FMET9W8XmR>uYq@yheKJYdrORjhkk#p?3Z?=IwfoUn^dtSoSp+LrR5y
zeJZx5r9$>aDq1a45q=>RhH9zUyebu=CZwYLM+!U|Q*a_Z1+xQE&}o%|pi3z@zc&R7
z*QB6(VhRF&CF68+GN!*vMr~j+p4cQ~*X3jg?@va`+GJdtoQ(N@l2F%@1pD_%Tre>S
zL$*nHekBR})RXXUT@oUuB;n}DD~PwfLR{u6oP7BT685hUd-WBL9e4#{-YbO3zk>ST
zMEqz=gilr?wuU64*FF*U*Ak&{FcIavL>Np>#KeCIc-5W&&FlpH2uXm)qXh7-C!qRZ
z0u0tCKz3RJqW{H1ts@@&+3~OnjmKPvc)YzHk7F9~7+xQb$J64mOduZF9dXdgiNmi@
zE^g!yhvhfokgXAiQyb#&V_F;@3&e48omjlfiN(>dSbTPfh3$=4%sCW`lnt>^pB{^T
zfml53jDdV^3}VA#pz0Wd_8T#{b0`L~|HUA5dJMJ*#-P448aKGu)u`}jyl{-hfBMlV
zKNO8i|3yP&Ml`$yqd{F!D9Me2Zg>=goTBhdKMHg>3Z?%=;nIvKhzUi(uPYKPFA{a(
zk+|s;30Z?kL>-RA?v0V?pAiXbp-3#~jzCsk1au-IAo4f@0R|D+rWt{*jS;Y%8G%K@
z5y<Zj$L0KRjExLO{Nr$F-VDcxW;py6!?AN#I6ex8!@VaAn+n3v6B!1lCt>*SRv0>u
zgu#)8VIvpE>k$cqOK&K)6o%qsR49C%L$TK|6avRW!Hpc+b3!puEEM^DA-G=@f;BNA
z=yM6dbE6Pw9uL7dr4Z!L4S~6M2sRD8#P8ylNQ!-lTW&A0?#@emJMj_;n>l{|ORSgV
zt`7#|ZD}yf<Ab5<5sY!h!KgbGj2Byjp|_BWJxT>bcqj;^<w5XC48j$!AZ)rHgmGtr
z(5W1Rq{TsaG$shzp8`1_G!U}Mff#%ih#ZqZ`0E71WJe%QE(-)38;BWS12~^903E3T
z$ngz8gjoPw&IiDFR{+i`1Yn<B02H~n=;8){On&PR34ee5wDiZ|MSryJ;bNw%{ZTm4
zADO>i;7#)jB)xlq_@Ebvv3-H)D;(5cAeLSrLH-3&{`w)k-4D6hekcp|LxY1KdT#jP
z>mfe~Z}fxQOh3#Q_QU#~=TIwn4xOmyFm`?pH^b+MIrbdIo1SBEE_Z@e;yG3f`eJ{n
zFK)&A;+cmpGL3!lLCY6Ylzp*%u`h0p@kQV#AJkO&Kq|!tN<Ka?eCUJdb3W)-^}zxK
zALz*W!2i29Ivc#PFx?w^0p5tU_Qo$gZ*1G|4X1V9XrAJY<$s^ye)}_&Wk17$uxGgE
z_zYG0&!C|B40ejo&^PNDc8WejSl?5~6hDPQ>{B$jJ;k=WPZ4$MDW+|E3cE#5@n`f?
zT>a#Q&MGe)OYuUbj~Diud7<#U7k2ID=t_>C;Dw5xo;cF%iMDs1xD@P(A9kLwy5@<=
z8lDK-;0dJ}o~RM>#I+s|NELeEWwZxWTs_cx+XHqdJ+N}C2Wl32z+|)smVR<aU6ng*
zQrxl8*BwJ<?g-R%#|breOj_-Z%8Bl9{_Tc?t!|i<<%Y%(H~2fa;j+FPHfXv*oVlT9
zwi`mk+;D%u6&j_kSdrigNiSFQ+;>Hewktw*xZ=@rR~X2;;>33s>}YfWWw>BLkP9Z;
zxnT4)7YJ*(;LipZe4pWhZ^9gUo$<ZM8GmA(A?)Fd(f6D&`HV9bs5pbTJi*R!&Nw;z
z1h*QVz$yI+XTLr{f$b9vUVVbG8c#s~J;BMDPhca$<rVrKqr3PqCdWU9n&)Gf-+zoZ
z+K=&b$7AqTJcg0nW2F9Yf?%@~cD{Fl%S$J;J#xY-eJ7Y{I-!<1L1C^FY$Tk}#dpNE
z3P%JcIYQFM5!cKdQK#z&<voswTjPj%Qyk&`*8yWX9XLD2fz#g(xbNbCzqcJ=dddM}
z$_{W?;(#e*9T4>G5vbu2a?>B-L=cxNv3mr^>yNPP@FNr|KEjnbk02-U2&sH~oUO3u
z_NhJI`Pjq2+#ZWB+M{i+J)W+!hvrm!Ocu09eYYKa3+-?|)()#Y>^T414#nDb@Z)kb
zw-oHKXM!CT|F(r#n=QJtZIKsli>N2Ia5u8W!;`kSw#^o&m)PRqSX-zL+hA*>4K}^A
z0bX*{f#VHqpnB8>2bFAadVvkDjkdwV&(?6SwMJB$HSz<j(PL{3@$1%Da@ZRCm^E(C
zwML+%H7bUzAX06G^{=gP^@SBetgX;}#R>~Ftf0Hm3K6rd@J-wbN*^rYP-%&l6ick}
zvxKdcB|5nrl+r;<`2J@J!P%BLCvJ&iz6CZ^T5vfr3rzO2fW4Ikgs)iO-a!le{LcbL
zvn}vT+yW0im_xkE98XfsG3$jnVyw-f%;mTmHOz5K(HwGf%@HSQjzb^K@Tb}gfp5&P
zKfnwEc4mmZZie%kW|+Cj4E6KP;4#_^N4`A7^!kVBOn->T;D@;D@DRIhKE#aU5Ak)&
zLliB3h>)=lVg20{7n@D7H_H^fa8t~2HpSRGrVu>M<=s?FF}T7M-4jgF@y7%mTt2QR
z-vl3GOz^|Q1fnJ;m~h?%i}siR>r8NXnhErUO)#(O0WSDIK>YOw5LJ4B<I)e1+;|_;
z!|ucC_I-R;xsS^e@1w8t9`xew;hX6_nD4uXDKqaOfp3h%uZ{7~)))~-jB#d>F{XdN
zi{`Am2z0p%eeJtYS$!9?1@A(z^bUG`?x5=O9pozB!8<7q^|z55avN1fx6!L|8-kN=
zV|KR@R1%D!Z*GL314d|>V}u!>4WW}^h-fE62x%GOn1UhqUcbfVsBXc|`xZv@ZgKN|
z3*V$};ZDO%h=tvR$DNy;?{O2QQ*LtcYy-?rHb8~70qivmuxpV4#{JMoQ;t5O-1T97
zULWUq`cM<s$A+34SQdN(^9?zu+`!UFH^A$;4%JuJp>1^?W{0mMWZ`vGf4>IF+-unC
zaSdj=*SL84HB6GchD&u<kri?k3+`OSBh{<;Eq@hP2d<z$^$O?5T)~&)S75sQ3MT%&
zjM(DKIOuyBBUdjYT<J2-jJu2(?Rsd7)kCP69_}2}!@l`?SU!9S<8m(HxBDdw>Rv*}
zhD&H0bqQS!7x6LtB82W=g#6x%*f8rNPJX%o+jkf6#`yw<buNJD0*u8kAg@*z(?fN+
z7?3V%ck5!)3|&MFo#%3#=i&Y2JZ9>g$IEr+!4p5v#Q@LYLg+b+Ha>?$wR1Q(^Bkss
zI*W#PXW{E|78lQ*h2r|N7(ePPzBK5dE<y)c4|I^UUk9;sIegPba*j4~JhjnqNgKmV
z8<WRsL#h1?uEw81pye5~X`aEnrDt$u<TTPsPGiE0)6h3KjhgMJv1Q6>#1Cj;S(+BY
zoV2h?TMKFHw6I@73j_71U>|V`YfMg|P5l(y=AVN4kCPZ*a1u@4ClPV&B+Ry+gx189
zoZoN)3a?LKmg5QTJ%0j|)}6pKi4$1Va2y*Wk3+-sIBp(1j%N#xBmdVi{3|+!|NOX|
zy1_AIsT{+EsmE~X!%^gB9K|x%qj1+f3JJxdFp)Wmf9*$Lk$42-Y>yz|#1UZC5wwUL
zfn}{G)`n}M?|~))4`|~2LQSmveHa2Ihf(w5Fye0=hKK55n9Vqho1YKia`qwUc^$%y
zD~Ir4%OO0OcnIPB8YoKBz_%wFn0H<SM>cA}RYn7~9S1Qd=^$>{A4HzkK`dN%5cZM>
z@uTSgF2)|<VqOQJee3}G6%N2q<N&1V)DaY+jvWux@#&B{o-b9$Apv#BRqaPj$bR_U
z-;Wyy_Cs~iek>l@2buDH_#LzlAMWl$@4kKLo4*eqf9=KJlD&`%+zW*}d!fE}FYeCU
zi?E-2&|bU;vjX<u?Cm{>-m?cn^Y-A_Pc@_#t6@%n8XRw{L3pnk?$1+$z^~n~F4>Jq
zfx8iLXE#*$?Z$`syW#PB7j~BIf?)72q#N&orTQ+YFWQCqe^v3XLKUqcs>peuiUbW+
zgf3M@kf16;YIY(vVkh32?L^&?o%pV>6Vt?YLZxvBZpZH6?5Q32d~yfYuiF6&sU4_m
zQ^DFK6}UO5;IEDf7n4>&$2b*e^=?OJ+IC!V-Hv~kw!?kPcF>gVXc$t4Rkkwz^H#=J
zePtx5D#LiTGE{$T!_1Ox_#L<nO~%`hePA0Bmuy3X;5LNSZbekoR-{;NMd699=vuoK
zBBQrrNyio(PT2yx$6JuCy9MG(Td;T17WjPFjIUXnxm?L+#2IYH^xd1`Fn2RVe=EVP
zTnQ4PN^mh%!h$18c)L;wrzDgh*18FCuQuVl<0i~GzX_e#gz$-*aQ6eSKO0!#1B|-`
z{8j@7=L4N14DD46JrN9FEEvR2GR!1~P0|eKx)tG)riffOMF?M2gtCev9A+w_>H9{k
zDcuOCmmBfbWFt-<*@%)=8=*34BeL56gKFx3sCNDj7xeyvkn(?cG5tU69NvKM#TyV7
zyaDG-Hek__4fwcf1Ky6>0N0N7xbb>DG`RCIo48Mxu2fl%g|pUU{!bp3l=HAIj0Y8S
z9<)yIU_w0Z{0R>gy~M>b2%Dc09vTqx)d-Up5-tl6^6J)MY1}%v*sp`gxpla^X&rt{
zUI*jPYaw2^79N3XvGT!MlxVJn!Rob`HF_;7y4Jw{?HcU%Tmw1%HE7+v2Js8lz)@fg
zuGO!GX8dZXIIM=E?rN;xvKkwwt;V+DRXA9>3Kv6H!ODCU!cMM2)%sNslUoJwSHd`F
zB{KY0VvO-hoI11;Nh?=klGIA>Gf)cXf2)8KUJ9r&P=MxM1+*+yz-18y2)3-iv*Z<k
z%L>j;SpnCbE1)`W1;qX>=f<@hPvV#3jN@{wzqlL|l$Yb@%;o6#wG5S2%TN%#40(3T
zP<(C~>NYRqVvWln{9`HRR4m1g$fYo_S&CqtrD)x>6tku-#kt`nh$~wHv4|zmvR;A=
z?Il>WX$joqmtfTJVpx<d=B_P<gY{xe(^-s|O^cy6buos97r~=^5mX`<VZ>$;lFu%J
z@#aNPp1ueZelEm7<wE2}FGQIALM|7z5Ek1O!g$s~-2Srw_i7iwDt-YxoE9KTZvl#S
zEWoFE3ouP^0o0o2!y<V;-n-7{VtMm%V9$I6E}4%JvH3XOF%KDU=VAG?dGIxw$N3!d
z;J#`erc2L5NdH_Y=FCNv|6JTOnTx3><|1dqT-=#B7i+%E!IzRbNDiL^OPe`3a&8XR
zY@GwSS#$97&unzp%|>0~Y*aXNxHcR0YO~R^WHx8R&BpkySy=mS7LNJOg0=B1ygo7u
z!!!#teirV1nu+}4nV1ni6Gk>OQG0GCHf@`U@Yypl>)#A`HO_#1$_)6q&%lbCGmxP^
z1IJd*!0$0L@M2&(_U288Q1EoTHlGgTGt;p}X*y(POh^0gY1|pHX?Xf-8cbcMasJLU
zXzibdBMQ@?Ic6G84ot<xys0n_o(flssfgE}%KfjWLUh(t@czo<YNI?NQ{?f*Lmn`c
zhm(dpde_KfyR1AyKTg4fk}0r^n1T_zDY$!a3jXbw0-J?XFhy(%qB|!;?fqnY^qUM%
zlgZe5YBK(@$w-|x8TWrrf=c})OiZ4H0ryGBxitwP8k6vN?Ib*qn*{yO6LF<%BCbYH
z#4X2(FuO7l?rIYevuq;Dq$c8f{{+m<pMXOl6X0k)0mbJhKu%=>PA!;#7|{uk>>7{r
znd4F5KOXDM#v|y=cue0i9$vFKD#-Dza-eiM6#B|>XI<nl>XaN}xf6a`GvqM-uPjQM
zWa0Ei7KgoMG4Gx%z8{xGsiG{Rr^&+Y&p14690!Bf<DmC!94;D<!<FOXV5B$>*3-tp
z_s>|oZXAo2*JB~!Jr=xsW1)9qEP~ls^iCfOg}*W|Zk9o5nhcis%E0!43_hNc!Eq%S
z6wi{uc0n0rwn<~hJ86`^kj5D^Y5dTZhRZf-(0pk$i%N6(<T2QsGX{Tx$KZ|i7?@ue
zgZ-*wIQwP{Mx@4|ad0#;ibf+max}ahN5kdXXguD}(bXI;$JKw8LPnJo8WW{3;x2`G
zx23TEs1(dMO5x2kDf}53h0QIaV4pq;O@5=W)@&4<bVlK`@+cf#I10HEqoCL?iNpd)
zP=q92J4j;3HA&R(m&A=Vk{CNd67j<lI9V$J=@bcMK9#_OdlFDOB?0lx5~!RbfnX5{
zm~@NdRIWI-g^EMLUL3Qoh-2bDamcO~$N2H$m^LhiCADH){$324&%|JKUku(_V#wVh
zhM)7quu@zMm-|E!T_B1d5u(`cBnqz^qWF4H6bE^tNSPwa#WO|V)+~ZC86vRt=cpye
z>xyvkRS_gD7lHa%5q$nE438>dY)ulzS1)0N-4lkcmN1rV6~^cJ!bq18hRc8ut`rMF
zEk+2dU4$^*PzcgTg&@L&ATUb^Lc&5A)h&ogd4gCHE{Ls;f;e+S5SAK(h+Z#<)~SM+
z@J|5y+6C}9O8~Vm1u)NE0Jp9Rpjcf1OGy9@Qv~qg=Ra1E{*T33{bRv<{;{A5|5$Y6
zUzY9vm-Sry%j8!7WxIZkFo*OJ)@U`tXzvJnI&p+aHUD8&fq$6v<v;BC+CPl_`OUiD
z|7KoxzuA!kzuCO0zuB+$U#ubY7t6Wvi>3Ydi)9G?VkP-MS?`mdZ1l08OmXf{W;pPJ
zy@~t5q>X>Di`#y%ve7@-wyN*!o%eUP>)dzNvf?|t|9zM(N*`uT*2Bzu|1i5CKg^Um
zzOgys-<ZtJZ%iED*eLODY;x&Ww#xG>(>U{$nJ@jy(!PFS!f9XF0jn=8a^Dv=Uj7TS
z==jV8BR(_hTc4S{(r5Nc@-sVC@rlWLe`2NQJ~7XgpV;MJAKC8AkBl5XvZb0F=5Xb~
zA+|elh+Q@rVxFo)taSVklWqCHPKJD73Hl${Bz$1z5+B%~az1<D&1YkD`7CHPpY0qO
zWZ!cJS@e@ZW^iJVZCy0TrhOS;0%-$m$a;YF9T;FAW(=^AzJ4|-p`R(5^fSF({VZr=
zKO1Q4V;dv-n43`_`@OY~U6Scz-SxdpFQ}LOx!%j%SubOfy^LSk!(Kk`VOR8e7#HYc
zQ$%{$zmje?^t7AxpYLWL*K{)hfo?Xnu!|{qbg^qXT`X*67yJ09lPTqOGB4Lo_V08j
zySk#2_5JE#S8_Voh;s*X*Xm#!mv^xKpY6;)yPchPZfEPX+L`q7cJ}FK8*9mKV>Qlg
ztX`{)^(=2=|9-Wy*}1K3k83NlIMd2<6k3_wNDI4=-@@|UTiCj@Ei7zx3tKAC!V-&`
z*{-L}tY5d8xll9PA=1pm%9~h;ZxefQxrv!<Y+|~SP3&k*BRd?}$WH1vva6dLnXODC
zi*9OQtzivJ{!RlswWEPWPHbS}UG?l@Ts^Bbt!Ml8)wA*$_3R|Sj(tn5V{W!}Z1a&i
zHoUNoB@WjzldM{H(505G)~;ppt83Y4!CEF+TEoWr*09-EYM3IcVW&seFsFuUmLFQp
zr0-O-<2$Qa{N!pjvA2pnd{xDMSXMEkLsd*@K^1fRR>{_7RkCK6O7>W%lI>Yr$tH+Y
zvhIosmf>H)g7hnx>(&b9AXmX2ca$@qxN??YR?eyqlrzD3<&3_Tv74D?EX}2ijXPV$
zuB<C#Rib4~xw@3S4Ju_@4NF;>N-4WAxs*xum9SUICG4_o30r=wgneIH!t(zVv*4m)
z=HOGz9$YPEca%6fj^o>lSWsLM%QY`zUp0!@l7&U=;*UZWmsiNdo)$7~y+W4H3fV@P
zLYB~4z&6AdupF}jc1ojw2`nsNVL$SjR(?L4@hqQpU(RPqoAQ~<xO{fIBai7O<gwFM
zc})9A9=p0Uk6Dc5vVf9YR^*q<1PpSS;`UtjaB?my@6TaN-{dd{#~k+SbPl_=Hiv!u
zpP{P&s;UdZbR*r3bcl-N?jj%}A&3YFB4Pj%DhM{xUD6E_QWAnRDgu&<*ovZv9oX%!
zsQ;UJJKxze^X|+&_rC8tXW!Yg9OHEO-Wc&Uk5NP97&)#Vqd$ws7|&*u4qqIl)n%h3
z6Ff@4EJo?6=qTNOIYQUZjL@Bo5qiFLg#PG{kOJoj+06`7RLd~+M-LOb%P_gA4^!K(
z3nY5w0>xBapr89L&>@=(#3Flv@;?mGvf&|`E*PT3z#&>`Hbl(ALv;E1AXW7ZQdGtu
z`E47djRu3Xo_mm7W(R27=>a;JFhB(!12mvJK%bZgNaxOZ+S_=Z1|rXs_=fXzK>a*D
z`rS_(uJzN^ntpOQ+)qy(`YBwwpJacWqp`_zbfoee8SOtue{9duW%+Yd^W`ihPMoE^
z<!8w^^ek;(bC&#N&(gt9XDDmz47Hb@q1li#BxHSt9A(Z>-p4+AI@(82+DBy}eZ*<q
zN8vJk^z&mcMUM3ne_1cp?(HS(HNEsvwwF$P?ji4q9#T2pL!ZNX=%Q^8on+)O<b3O<
z_{naHs_Le=gWZ(n&`ouVyJ_^lE_!#hi{$IN$o*&+l{$CPON}nVf1OlvyOWrkJ85rh
zC%ty>q(Hq+`pVu(Ne?<`aYqMDq;$}MtsSIm)Io3gJE-$nJ0+ZLC-0ngvJ7aaCFbp<
zEYVI1?@yEJ=xJI}cAD0Pou*xOrzv0QG>!jkBbIAzWL@7zIgxGj(zT6N>$XudTN}wd
zXr<haRuWBXrSk2qq-WYnmxNkr&+AhpJ#>n$7M-GukW;k5<`gL_o}ynrT4?5K3k}z|
zP*+q7wQg*ocD)wr=WL<tbItU=r<p{un#sbynGTvaQ@3O@{r%WPju)G#zN(41jx<rI
za}zz&Y9epeCVFzek@j>p5^F{yRr)rPwOJ#56>p@b4<{Kp9Vcmd)k$JGa+2;lpQLlz
zC#jb0Bo)p!P<D3%<z+Tdg?|HeSTxX8=?41xrJj_g>dCFHp7NsVX~w;tG?&*?G;cl4
zJ*%TN=j*7au#WWh)=`^X9hs=q(WO7N<TG7M9H(okEwz?*_|%fTSuH)5sHK)qH54;h
zLteEtWEoXMdLA{TqF+Nw{57Qh@&p+SonY|m2@2SMg0j|~paIPj^qrN_|FD`OdaG$F
zr<zoES5v~8YI>(sO<NYKX!=eSxu340$7xj*>Q_a)7FE<DQ$-uUR}%O2N*Zpeq=dvu
zTDPr|l(3S1i&xU@rwW?5TtR2+E2ulRg8IBFXvDaJrbQ~~^ZVl@cIh~o*B+;^=;L(C
z^EiDnJWeQloHE~))BHp^In<O>Z&W#HdzMq3VL53Ems97vGFo%7jGok#Q9^VXE!|v3
zPmRjxxJVgo`%p?clcn^pu9RkCOR0ZLDb<^nQn7d`<$f-q{3|6?(O5#K6H91vdkMWW
zD<KJ)60-SGOfff$=|XEUBmbtDHv1P-msK%|DHT)1pCWp9uZVoRi|Bby5$y^tqTlvK
zl%r8Z%h-!(`f(v8oG)bj{tD^8gN1b7rI6B=71Gv4g+y-(7@Ai={Ivzd99uwtwiFN(
z77(vg0m*;QC*zy>w5cth;xqE8D=?qlugNDp)qFb0l27Avd8E*v$0&i6N6!!D(FWH%
zy0|=#)(Ga&<#)N{F_}y68geNmF_(0Ga_O!`E~P2t(&|4s#Cbo5uJz_nRY49N-j_oj
z&N*bUG>4Wh$|3c)*`#_Yo3tCU$v82a9DK4Vz%rXM6tk)KZx+oz$Rd@qS>#)sMW+sC
z(O=gra$Au_UBX!;`ze!=&y-33S~BTqdL}UiWm39rCMjrSQXfYqc|JczY$M00tNIx2
zjyXm;TaVEfvtu+QcZ>=aGAQhR25mf(L6*fCWN;{h^fqSDQo{@~5z8Rkuj#b)W;#W+
zr&DcqI^76KCl04{veZkbghlCe^<5e%PNmV|<}|vOmPY15X>`gija0PKsERv{R9~l3
z+e9i^Hl#A<qNx<IGnG`=q|z<5R7&MYC7Ty1#6Olo_i9t9IU$7-eN$-X>J(b1nnEkt
zQ^@dnGOZX*CX?D^TAh$g?!L(sx;mM1Rg>u~dos;GPa>tUB=W9HqMF1c`skNLtJWk@
zxq1@)<xC>KSBZ3cB9ZJ*CNg+0k=6z#(zIP71!yM{3tu8tzfB<9sRa7bl0ePJ639O|
zfwY|x=-bi+8WT#O<DcUx;$}SU=!_?){CKiD5Km?s<7uUFJgt$6C%0d5wCjExrJReS
zmhw2d8yQDDTjOYzMI6N{$I%399Em-TrGT+m8mW&ZwUk)O42-3}_OY~2H<msvilzM@
zV~FWS3}tu3kY;`iO&o}!J?=3iV;VzOWMU}!Pc+%iMU&7_G(D=0rmpyC%Jz$<eKygw
zMJt*d`JyTHK@=raM$s{!D5}wjqKUVW^j}*fL&G8|&Lol^{E47d7b2)9F@lWkBWPS8
zf_B_GN_@pfY1r#1B`F^z_m|;h*c?vEd&5b_Fr1WrAE6b4N60nd2*ueQq4NSqh~xHQ
z@+>(_{oaR3SM@M8&L5%`ZHH)b{~-#7L!`)jh#rm|q?73fDaQFA`AHrmkB0}yqvinl
z1s<U2r3a|~`+mBAZa>M!?WaK7{WL1DpLFl+qpGrfq`YGvwQ24n`;TGtr8|roBElGJ
zj4(3c4I{A|q4c*Xl)iX}(l@nGVtc=r6ub74?a{pyxoR&B^6Vvn8zB@_974CYhLEjB
z2u*$nrcFJ;^er-&%B_RRc~LNl-q}M>%J)#e?;fhv-9yFSc2i0JZmLh%O+ya5>6O@S
zl6km`JnME*{hnRKWVDNX{{_+Xco4Z|1<_;oAUdoRL~`?ibfrCz(!vAD)hdv*`2&gn
zP5><&51=1A1L)t<022A-Pb-G~X<NEKmALxTBYA&X{%R*>o!&{mkL;vStDW?Xe<vkO
z`;k(WA6*ReqsSG0wDPYn@lE*B^K4(5^z@~ERbM*$!G}iseCR=(5B+oSp(T<&6!2sR
zwKeY`)`L4}hs6%M%DaQs+}Tc(mD|ZPXgmEd*iIEp+iAn(HWDe=Msr)YQIGaED*L{b
zGKRKNYWh~n-MEz+l(*8wci!~9*PHa>y(w&+Hw{aBlfsKFlyrIv{XV*d!fmz?r|1@{
znDe4lO<wfnfETq|deMPJUSvD7nKbG)lSt@h;xXGy{5+dU=8h*BRC|)=9#6_J^`uK2
zo+NT}6ZuzcqKiSB$iR3LwXkiXW!F7usN91#2YL{zkq33NdeFXW?qpW(P9lNs^wrRv
z9<#dBy=xn3wtOSK3*1Ot#v4hGeIsqV;YJk|ZuDxG8<D9Sm2<ig_ia~-u68BX5Le13
zSJLKnrE7OxD5lPZXrBwQTe{F)0T=3--9S}M8>ry$1}a>$fli2RpfgXMY4)@;@kTq-
zYDZ^Em35|>`SoPjx1P$A){}tSdP-MWPhwx3=;V+S*<?A<=PgdupzA~d3+u>WavkxN
ztfLS9>uA<!9o^wrM>Dq_>2-}GvF&pttyPZXDeOpvj~(b?n*%M4cA$)P4)jglf&AaE
zrI-C{X>Z0_;_zBabvkQl{enGlUbd%+QhUk^vZo-hCkI}8GQDp{%bV=TAl!~t+1t@(
z89R!8V@s`PZRvHIE$MEyrK38wbZ5baV9JJ?%56w(j}0}O*$@fX(A~K;6xp_h^kUY~
zoAqm`U3m?~f3c>mBi6Jg-<nMPtjW;GnuyDq*4<l8yBb$hUifMnTf3TA<yVva2P-Nc
zw4z_xR<wPG72RH8Ma~>nG&8-5cAZ>B+~KR}^x9RlLw*%0ezc@lLzZ+V*OCf-Eh*B-
zl0vvG8N6vhVJ#LEA7w$6>n&(}u?7A7W=<<6%;`vpIZf^|C$*L4lqO_Ozn`w8{oO0+
zSMo|q@mxuZm#n05CPv>)Mw&{U8GSm$$S<}xBS!d>4u2x@8zJ&yNd1;TBF2ZJ1&J!3
zB29K9F{L7{^g>EmiZsiL1k*q#8iB+kfpXUaNvi^59c4<^mrdzyg(;PVnUdQYQ<9c3
zrC0AwXz+pwohUG&tUwb=GBcrMVH3)IVN4BYjA{IsF@4<5D63**Oxt;lsd3JT7CMZ`
zJ=uuPZ#JSO%Z#Xj-H3E%4C%}%LvoHYq^}zdsZz&~+?WkX{Eh)VYBZqEC<DrIF`y%w
z1{Cyn1^L}vK|u{G=t#s0%5`2r-Rdjo>4H8<-_R$|dVQ)rs!#u|*Qbr@`ZTbxoR-~K
zPA&DzX?etQ8ggDvn>3cwpFhj!<jrN|eR3HoL@lG&F3aeg)-oz)T1L@#meStlr4$sq
zl!D!tQpA#_l*hJ|x@Pp~QJWr#Ch3v0mmZbq>(Lu-J+gkZgc`e-kYvUZ%G$AngiM!E
zncxyy`cjv!^y||8JY7-?(xt~1x>PHvOJN^$$ZkxBw99o!Y@ZHs+v^aAvJUb8r%iI#
zw8^kun>-@5DZy2n&gy8>FIH_@bzh6}+qLLpiWa$U)1qNxEdoI;I`>kOtOqn{ra+Sp
z?$IPUYfYMx)1<_28e}u2L87%9^!lg<jk{>jDIE=}VAG)D2kKPTsm{<PbsF$dr-!Ic
z9AfHZ^iGXJN7bmiT#Z-{sF8=G8uhBFk<vd^%AHoFMQy5-ldMV#+f=E`M3r2HRq5}%
z3bhTZP*9l)>Frmc1qT(np{7Eo|1GBCyNfCH^kRxnT}(+k7E>-RrUtRaH1=MZ-i<4h
zT$M7p9Z{yD4a)RXN12Q`lqqjciGKAeQ9zCoJq}W$?W>jOt-KON{Zu5G8;Ug8q)2-b
z6iL-vk)9bVQnRokMZ8s@jbjRATB$&4M-)iLMS&!jD3Cmt0_i@Hr`6}=$*(}3GDGBP
z$WERXROHG0pB!b}lcOgca%6r?j_Up8NMe;7Wy;Bs;7?g9xgkqBEwVJ8BuhctWl4f$
z>9T|@rGAznrzsgyXpo^Fu`)F6B}0S8GSn_2L(T7{sr8~XovD$gD^b$)W|K4t8cGvm
z6E^L8D@7gSQuM1@itHk#sM<q{SPi6Tx1bcwy^*9%<B~L6ElK{7lC<C<Nks;dL_(4@
z|5k!3CnRV~jRdJiOVC$O3A$_~LCqo(l=nfL5+=ndvR<5`<HRY|Tb#;3oO&e0Y37R<
zv0oD-lV&m6pDadwK4QdSAx55ZV$}PeD9PUurSx`DV#ySx=pa$zv=OBO6;aY<7Nx0K
z5n|L$BGp0>nhg`7awie;(-k2j9uX3JDNLV+g=wZzm@Y>M)7U0qnlKWk8=}JW?2{1v
zy&^<P%|f&`MTnyOgy_sFA^M{zL^gi~sr0@eLsJFGqd<^G!UV~9y&!ciVIUvFe=R`n
z;{x=xMu3W91;}cv0R1EZ>XZ?nL;o!ztLa4~*|mti<}9MSA&Y3laS`?EETT>x2EO8_
zkuiRnuHmQ8vHT>qji1a{@>7@`Kb`u`N1yKT5%%&?W&t0)-p5Dw8~CVe86T+&@=?`$
zURpfGOD#>jWR}WH)Be14XbmqZsqxYcHeO17%0qS+cu2U4hn__7P~R3FDk2_=lI5X2
zzq!e0hMTtcag%=$Hyt?0O=)i2)L_6(Q=;7T-xn^@y~#xZ?OfEH%|$;#xX8|li)!?^
zh(myjLf&)I<0($s)WS(K>72BE7bktT=cE*EPSW7zq$~3rbo3GjEpOzY4=Ehf8Nfl&
zwjAW5$w7MD93=djofan8>3st`y-a4OSN`nu(T1IvG}%dlo1F|_v(e^@Y?OMEjRsQK
zXd!@&%<b4HO^b~l^01Nd8&)crWF^*SR@#@&N^f_uQjh~Heb!~A=tZm~_JM`kud<L^
z8w;^yvryMw77BJ|p=J6k^h<<=E`4RDs@u#I-OWsXh0L_!5Hs0$Fq4%jGp&(fCg%kv
z@|k6#i1SQTUcp48(M<Gp8xuqKnP{g96E(3j(YvXCn49$v*KGKQ+~WUm=I&qYEB%Z0
zTmIq+rN7wn><^CC|G~F`e^6=3AN2XOfZd%7D1K-G<6!}r{{6<Z3%^k%@i$J|{>Etj
z-?-}fFBHxHg<sr%;bYlfIQ!^7d|C4!{`3D2RdxSEk550bwCg9nIs6lC&3<AR%TLrB
z|A9SeKhVMH2YwR$fhX>L#~sJN<FXy!kzeCG{&@QhKb-!CUk`jkPW*-%%-?Y1*jLO;
z`-*c;U(rbXE0*8?f<jeaFxT%3F4p;igP%TQP|s&niTI53mY?xF*JrG}@(Hu@K4HeD
zPgtb*3EN(L#5>I&ktggU+M9gDl7AoY`{)PUn*IUrI)6YfsSo&Z?mcGJy+^a%@9{tV
z_juvgJ1iP{hewm&;qG<sFi89z9-MuPSv7C5C+ID{S^gGve!ao)p*J|4{07aP-e8Z!
z8-%%eyj(YrL3`#=!f+n1{dtWAqpvYA<2Bm5zD5(d*SO;OE2NfJxMBY*JV39oj{Oxr
zoqCD71urpv%S(K%_7Ximyug{B7w8xL0{_{(z*?af=sxotB~LuZ=RwbLV8wH+`|}J-
z#-3qm<}*C${tQQyp5fd1r>NBV6n8{C#dhnbxJd9R9=P`e-&8-r-MgOPg259k`u7+u
zE<VN|Ighb#^J7d_dyGCGAECpUM`#)U2(26+;ReY^82n@o3!CTg@_{*AWHE=EdFQa_
z_Cr*te2BS$4^h<MAy)sJMZ7eNPxEH6(0dj)YR#g`w+HxV-~m2OeSo)JAK)#;2RQfU
zKK|&wk210MajnCBOp&~gH=oX+X6p>5ADO}5t7q_l&<y^4a1V1D?xFs^d-!POJuK$E
zhu+h7aoLHxC=h%Xf0^FJPaJpg>y2q-tC&W`plP%*n#QB7)7XFY4)T=U!5#j0aAL(B
zG-1AjJyW;QqU1JC``yOF`nOS?={7#Td<z?jZ(+FKE!?Dk3s*DULY%sZD@$&o<IbBH
zu;M0WG2g`DD>sm(>;^gn+`t;c8_3Ca0}oukj-QTS$3wfWBd_UoY~;L-uD7ot--&B@
zHRKu|XZ$OBi0>M1nYoHi4Oh|ez*Tg&x{7;*uVUt-D|qhI75sMe3Yywq!8EBW`10ix
zuIrw{;rJ<BwP6acC{3a7$IHkya2dNZE@Q~%%V?;5899GV;<JfKoGP5eAwPy0OyXs>
zNql<q5^|ilgeyWX;U0@i*dcfc*&bcQt*sYvBJv`F<3&6pcM+}LP2kMA2@Fr4K#k24
z_(*#KYkrSo*yK1mmX70!pm9`%aa86VN3Hu~NKIq7IeZKg?Z@z}%or}b8AY3OqgatX
ziY#8E7@|9hum6nTo+~5x_xK1F2an)N^AY?cID)4h595LMVYH1KMs=5A6jB{Vj_((c
zWBdXN6<t8}fD342dI9(GUcjaYL-@XB2r+61^PPt9Kcyk`|1yYAMh0<b!65$FIfywX
zgJ{e<h_4?EVC|^^+!Z~5X3hgBqcVW3-_PUs@$>k#_&ojzI*)>8=W&VPdEEG<AJaPf
z@ls+xihA^8fObD#{BsWVubsn&>T{^E{~UI#Ifu5==kWF0vzRw<7VUD*BCqdRWK`|K
zW}dT{F?$9Nx1GV@xHA~yb_S1Xp23`jKJ2*KhjZ0^D0ZL^-E8}?TDA{=e&|Jy;a(gm
z=ta}OUOY>^Xf4!>51#el(cT_ZPw&A8-aS~R--CXfJqY)^QM$Do+2XqKr&~Av(CTLJ
zY!`~&?84>sUFaF!g~!%);pE~j6#3bSzLz`kLS-jv?(f7B+fEdh@5Hjt9jG(jf#ane
zxGSUsWmb3KZK)0{e&3Eehud*wQ9CN{Zbt#jcI1#~N6xpWQDo>eY8ISE+o01JW_}v$
z#ZKdk`8L!WY{S_6Hk=D=Lu>Ok>=A22{Wq=HH`t1{1+Dlrs1=heTG2qF72mx*g{>D(
zVR+FgT)*cOF0(p?GSa6|;A0E&kF}s!SqrL%w%{t877UPY!Q!vYc=J*-N>nwY@4;s5
zcW6chm1a!))r8E~n=q!n33(!$u-v5yO|_fwF>@2<+-*dM)<zUgY{W;K8?jfv5leU)
zG4b(9#(18@@XV7K?{^Xl=_GcFp2V3q4ahUxfL0|9n6$S6Z`m}UwqgUO|ES0BSL!ja
zt{z`S)MKz~Ju>OmV+mV5nmwq)w;gqOBCQU6cGRIB)FG=#9X_6~#fb~G*jG}E9ig?@
zV^@nK%C&g^R}KEYQG=>YHRv8!gN!q4@V<TxYV*}#{Ie7I^4tmBkbeR%?mmGw)+g|~
z{0ZFgqZ<ESt;Q1#)wn*U8o4%A<HhCGn9Ey@JD*jdReu#~6;z>ga21N!RH2ws6)OI!
zM1z}^xS_cck0exL)0RqnZd8dHLY260z5*`|SD<Ej1!f<pKo+M8#(P<TOso}{@!&Wv
z?mmteGLK_mz;TpWbsX==9><dJ<+$@&IZ|Ue%Ep%?+m>?tW>k(Jgv#;rn=<@6T85&P
zWvG9o3_V@SFnviGj&YSC_tR2z?Jvc~!cyc4Eyduqr8uWnitfy%ICH-QeY#8VM^*{u
z29=<(bqT&uEWz^M#prdX7}ZV}BO`wTZ~7Huk3}(_kS)fdA4OPjqX^4eim)ZQ2*-95
zF|x0VP)NE6t-cjv^tD19Z7M|Jq(b!HUWnsVh<Z|mSn;(0C9f4=NmBu;CKX`s_5yS<
zE5QGx3b5{5K5o9Ak1{R!_#`<W+kNse%{(7>$>yWm&pfofm4{Ysd1#ZKhc5nk7+{r$
zNs4*cvXF}p?&hLMS1xYI&c)K*x%k#L7gww0Vm(VP3eV+W!r2^TE@I%m928oggLS$&
zxQZtSU%$x4!r^RmtjtFKh-|#=k&U&6*%%>`jaxou;hL!|G-=F2{iG~3@X11Ri!9tA
zpM}A{GcosWCJuCE;@6x^To#gv2OKhSSSu5yxH9qJ^J6%B;TW#1Jch#&$I#OA7+y3!
zh92U_@Y9zJ%)Xw1CaoDbpPqpy0yEIZCIfZVGVm{J2Ht&~j%Nnav8Fs73&PVe%Of3g
zjMA}8EFD|Fq~WFOY51-+4JD7Iq5ZBjOteeGiyCPt%9(~cpQqx5;Z#(uPQ~o#RAl!~
z#Ta6sEW`hmf~xmYaHuB*eG5`hXnzWhZb-qH<teyYh~a-s#%EWOaiAp`tJ9M)BPbc8
z?UFHEGZ`bfk}>6F5|)i6VNY!m&cr7nn@<uNu1dlX<s@upPQrypiRd_(hz%8q$Q_l4
zp<5F1DJ9}&xkQ{@NI>5Q3Ha@70%nvZpl)~q-rAIaai$4qDxHA;{TGh|_u?_5FCKRk
z$D_sJcvSO<M-h{F<dTX<w*TUg>s}m+_Qj!kaU5D6jzeFMILtJO!y&0S{PkZf!b~j2
zpNYj=C9$Xz9*gOovG@gIal33R-d%`6x7irH-yehi$766IG6svhV-U<^81H%v7Bk1-
zh9}V|HXMx)PefyDd^9HcMx&o~G&-n9BXC9I_8U>?l^2D6Zc!L18HKeok$Ar>5*588
zai3Bo-gz2<Yw99!+&=={v?K7#yQ5gqb`&>-9Yqzxqqy)h9G{*I$9s|CIBOA(AKAiD
zXyOQ3q#eO%$0Il;bObeTAI99G!^pRpfeMFF^XVa+syl?yfrrpy31b)7=Y#m6>mWWj
zd=RJUAcJ2I;(wzDP$BgIx;P%dLg54W>dt<&Dcz6V-urR6%6{yBwGZ7|_Tits`>@?`
zA0GG}hBkv?sF4tc;&x#uED(lrw?fgdI266MgksL(P`v$WFRGo|iwR+S@w4$>-2FEM
ze+-9UW=aSetP8={q9NEc6O7@N!RX-^jH`7Rn{Gev!PUKca8u+SjIi2+r+D_@yKB4A
zv~V}(d+o-*i+3|PZx{Y-+l8qIccGTqF1*XO3v(xfaC1%&>U#vCq+$^AybMI1Q-LVC
zKM?gX5I3_1V(z5?oX!qFO^*OfQ4GNEFa2?Et3UpCz#lWs{8697AD>O_#1r{DG1zM-
z+N$ovrSJSuwaX9HBmB^4wI90h`(fm5U+gaT#oxZZ=(xlePkr}6nE@XxNb*5>Cm-yP
z^g*}BJCLJs2M&ksz+<oj{n&P({nU1(0)}~SM>~z}jCIvEOgpm;2jjLOi^DctFTM?1
z=C-2v$*q_kx)lX*D^{>?MY`&ZuZp~}a=SPB>Ug8k_bn(sxCL2Kx8Uy$Taa0P3yQw-
z!WHdaxb3JHmRft^6G1ODyuTR>YBwWm$YzW%-HdGPo3ZGsCz_Oa;!7V-tk(0yfM1)C
zMmM2+)+Xfh+=Luzn~?vL2P&QOK+7Z#40iUwlX4#T@s&GTb-H6slsgL9yJMO-1D|Zf
znwE{Y>hMPVV6_n&1UKUD2X45s!42j1xgnRi8~)>UL)N>lC{p8!OG8}I16?tb%N4KR
zazVu^7YyI+f=^9ca3hBc-o3E_eJeKL-=GaxW4r;~*f*f)4QHG??u^|*&RA^hj4ABS
zm~dk~W>l=l>Rsz`*knC^<XDfIx12Dz$_a<|IH3YMVG6es{=2gdV`|o+VCXt*TDcCL
z`PU))eMcN=aKy|5j_7CQh_=FxX#B_lSDbP{JnDc>b`BUK>40S~*5a+swI~_47X8<+
z#Sw+IsPo<)E6>@ZLYh4`df20dhCM#}Zil&}cIcRAhhjVI@YOOq9A~n_(^qY={<tlk
z+--|JXp7f*ZSnhz4XQWVpwD3&Y_YLHW=R{|_HqqQb+5tIiED7ebq#J*U4x&$T4T|O
zHQMD_BbSdgUe~wAI#z2;ytx`fPprnku+_MG)oMH{vKkAXTH(14D|{Dcg<39F7^-50
zV_#RH>gX!W%3p;XeycFqa21MiuEJB(mgwAIi7baLvESAb<D@Oo^^FBCKWBl`85X!`
ziv{xQS)e471unU6j_az;F+9v1JFLv{yO=pzy<CaMdsiZB>PigrT#4^>R^q<DX2@~P
z3{O;<p?#Pc{<Sj0bK+*0_=?c;3?ZZws%;^ZT}mj&LX78xXkLf7{SacN9pZ#6BHsr<
z&mq9BTtI0*z*J*Ec3!}=SyPm4GsWImQ{3WeiUJy@IQh#2bEZttr_uy1!c0)p+5}~#
zOi=o*F)ki3M#CIqbn!LD2xDVpl<3Bf4~@{Y-3X5*7~wm2BiyKCgqQyrqWw)nyj^FA
zfkzCH$I%cwl?*Z9n*nNGG{7%q1~?I7fDKj#m?LR`NpDwR(%=fr&Rc<X{wr`4SKtT1
z6{zxDA9wWWV@rlUGH=&M#!0t$kw+hCZaJRqSdLc7%W-=1a@@acIm&S?$7?goFr#%D
zy2dX<b&qApwqzN;VOfR`rkCQ~=B4;BW+{GfTZ%k7OHq$`DSF@0!{R1AoQ>8)9XCBp
z(AL9OOnT_bI3IPYX$h{2S%UZ7mSCvP5)@%sg6F4oF|0)wm&fVig1atWTcV4n*mSXA
zMhBDIbTA=N2h%s}VEJ+#?B&wI*@xQ5*QJfC)3h;pn>OAy(nj4y+L-xF3xA){!oAsA
z_-UsWhMQ@jfS4AxywOD03!2DTtck<HnwVm(i5_yAsQ*<1B_=hHty%+rAJV{ubsEU2
zu7R?D)e&y1qffIs7RISFv|1gdm#bqSw>pkIQbUbiH7v+f!$mvQ82qb-(&B2^`c4%c
zM^*8AnJPByQ$?S(s;H%+ivRsq!5cSKu&YT0tKw9!(34^Mj5e<dc0OH<*Uv7-AGwQB
zeb-{#X0;e=WEbP7ugYjMrHl==$|xMEj0tYa$fBo=$(+h4`A7**_bQ=Fwh}T0Dq**!
z67H8#LbI=mC^)5vZ)+9tdZZ!_ZdAnHrHXilTM<W}DB#Rl1^k((fC_sUEVD)dQxz5P
z%75}Gb5kDoHp}Dn1bH;|md9pedDIY=XN;K~!l)eHJT8a(4#}asvm9R6mcwK0a_BNA
zi;MeY@pq0a&hC=M32RwArznekzhrRWmJD7!C4;Y$Wsqlw3>uIO21v+Y-6v^$Hz|!&
zCyfQs()e?eH105v#%Td*beWgJnGq=rsE|VDBT`uHB86-9r0^fN6rO!1iO~a+=vX3&
zs{198-ANMPYf0iGc1gVdNCM~1O5oc931kVCKqUtWwAGNnBdikG`A{5x^oirDd~qxa
z5yx-#;^?U^j+a=((ej}f4)=+nL%tY33K7HbwPL8CA%>S(#V~eG6fMq*B3Gd(-VGJS
z(~hE;t0jsN9HJQVL<D!87r~Gc5sWw>g1OEj*uF#r@9~Hr_e){492Um73SpcI7e+;Q
zVGLg(jB|p*X#Y+K2QLbtS)CA$#0udCZy}rqAxxDNLj7-o`0TnM9zP|BThjzl+h35u
zMS?h^B#7t#3SiTH0j%s5z~lJ>SQ9FM9qR<}l8yjli?{#^zg&ctBa1M+Y7w4`T!b8(
z7ooe!BJ2=fgyLWMG3GiyemljFd(#;hz>l$O_)$WYA3It2anmC{<T}rX=S%r8;xHdt
zZRA4{13r8s%!iX7d9mXPFP>=T#j;dhEcfTdI%{6+QQ^hwEWG&T5f91@@Zh>~9!v@6
z!OI>zC}GTlf#N(k`js0sZgOMpX>R1m;>OrL40Pbe9Bpn?<Ke~&uei`}oC}5PxNt0<
z3uAY1p|vH$SK`7K|2Xl&Lr$#k=fu1+PR6x4F>w<orkQYJkt8R!{NTWgcR27}7Y9n^
zbD+aM4oum=fm6#FzAy*w{=|+Kud$<U8#@+fvLk;mJEl0YBi|BsEaYcLt#@oVdYKLV
zo7qq#oejr=*f83j4K20VkdK!QAI`I4?<H0&Ze+#SR8|ZNWW`-}thif?75DS7V!}KN
zmS1AQ{zevjmdb)6K`dxz&w|O?EO>>N1!dnd<KD~6c%_*c^)r~UVmC92I5K1A5@yCc
zlNrlDFyYc`On9k{33p{Pp?D}0jyp49v_2D>i!!0${6A=I`UhUS|ADmLKX~!+FATN+
zg{FOfp~mnpH2?eq!)N}$>!W`_e&rw7&in_uh8I90aRHKT7J!R)0Sc#ngF)7Bc;fsU
zj*I<<fV;oIvh){dZTSUCO20t;*?)lb|ABYle~_*FAKdu(6O=oDLiE9(@Xqun1pNI0
zUxt1_dcqG_VfzE-`F=p_weJv@_Z@uQzk{3XcW{054R+LggDC%R(5Ukbo_+iZI$d8O
z_V8DDNnc?T%U5_X_62sOeF0vlFVHLc1@_(h3}(kagZPfm@JIbKe17{0zMcLAoCiOF
zI(`CI=1-74_7NVWeFTH`AE8YABM3eC0QprPKz-*27}xm#`#-;jWxem=cf@<Rx#~Tf
z;eHRTSKmQ<{yP}<d<RdI-hsfYw_tbbE#&Td3-hLLVIA{ZxG??(Rvmi-H(cI8u*@5f
zelia?8|I-Tcpml`&V$pR*I+*K8qCsOgPrqh@R52AX^&pPVErp#4SoeKhOeOG&r47k
zeF??sFG0!WC3MTY1dpdLfT!sNOoYCGJkuAjhvfyhUV098InTji({u1reh%UD&!DdT
z8O$Ad2CA!`!C~HKFmv-M*p@woQJ<%<PWLIi`1S<S&OZT4dIEpeJ%LM-PoU=UV@Pj&
z3^8GkAs!z?9{XcBedQ56D0~E>+a7_3)+1>CG6#J9b8t9u4!*3LgK()i5PbR&+M6H3
zwgV4A&io;~<bDX}Z_Yw>`7Gq_oQ3RVvrzW?0d$T&fP0w_fOpdauvd8iMepy!=id9^
z5qBS^9PWdo<b8PXWCjkl%z(n78MtLR1Nr<ju;cDMU>wE`YJ2X1jLAKaW4i}BSMP#N
z$z9m%dl%}K-i24cr@?4^8gg@{VZmz}_G(VUm#=pqcJL0!r{96Gjdvh?@g1NKw}JQU
zZFrG*8?HFth70nyVR-%)T<^XGZ(?tO@VZ-IEprPJU*3e99XCNI`X=P8y$NhmHzDr%
z4OrBE1L`7gfSvsf_$_e*dY@f~*wfd+J@Pt${dLfiybh|*uYqp+HL!@f2HV$OgG{Mw
zF!AClEb6=pTVt-mdB>}uDSH(vUtfX6Jy)PT{t7rcUxDumSD^9T6a=1~0>hLk5ZE{c
zUsa~y`RB{<WbiV)Id&PCye@;X_GNJTZxT|+C*fNDBq;k#LiF-Um}i=VtyeF>lk!Ut
zvg;D?z$Iwoz69IvUIfMZi!i_cA`DtxgldtCko9B&Qcq7nR`di^ubY5D`3abRHx3H@
z<FGY-99lfbfkS&7f_{y`gNtL}UOWbm{KsIQ@fe75jlsb5C>*FC1(SoLz_n%+o`{b!
z?r{XpbdNw!;s^}7jlgZS5%~6f7?j3`!J}{(%61OJ8>3-Z%{2^7cQ1h4$qP_&_yR1p
zy8u1X7hvO?Az(Q-1byj45biYuwo8UU`QIRLUK@lTm4onQ?;!lL90WemLC|_W02{go
zAUSCOCfo-=L~8&7f1iiTm(PRA@$=9gd>#xf&cmqidD!}_A2_=Ep(m*y!aVu`wEJPv
zpL6i`$~m}Qc@8dxGR%t67C#4XUY!NLvuD9L<1B=DpM{QPXMvgRENr@S2F^E}0p0L3
zQ15UCbQI6PxzByDakLNq6!yWXz&;41K3FE$2dqzf;ZavFOeFWhS<hbRTha>`n0w*Q
ztseMR-vbKaJ>cTl19?h4F!!|^3?{lEzqA{eg1g~>WjFi~>xQ`3T_D}x1!uFmV5d(P
z$QyUTBi=4(nd^l3j!y7P>VyrRonWWe32Rw9!DG4u_BM4uZd3;hZs>rY>K$OZ&<;u0
z+TmeMJD4AChZcu+P*HA&y6>l9`Q&N1SaBMH_MHX^+tYAG?lfe6ZUfKpHdt2H2Eu#W
z;Lqwd_#(})53TTbq!mO;T0uX!6}+rkAzP{yuDw46QX{8eckwBh+;a-_txiFm)G1i}
zp#>U8S^!I0;BIgWM6PZDJ((7m|JV$zW6cm%)(jq@%|JHIpe^4FDqovG{ZbRGsB8lJ
z15L1NZ4(qJH^G&kjj-ryBe>T#LUVW{@HjU@s750^|9cX)-#!Vin@+-!*pndUaT3nx
zorD06lb}4?0M9!bpgpw#Qnocfpm77Z3N(P-i+Zr_uLtM6dhiXZhgi#cI4M;RGau_f
zY@!Y}Rn)=B19iaSSO>nUb#Q&57S`OVh4H3ZSRYpl&o|XV-11t`=Bb4Tk87Z?uLd?}
z*MN3F4X|0%zzfM5hOV7}i3x^Po`CCzPQWv#6Tqx_0yLOUfcw2_$T?jNcT%ch@%Cys
zVp<LNg{xupn=0rVt^&idD(K%=1&$6?@Jh7`(*IV1$#f-rY^{XT$(0bktrFImR)UU5
zC5XJO0M^k8_)}g1Ob07~->Cu?YgWK2mI~N)|2R~19*6rG$3bc5aR@O#4ii$xLF-F7
z<X<iap1N{Kjw%NMk8-G7UJj;w<uLoa3{nTmz`VE&{)Lvo#M&|_Q7eP}Ol7cXrW9;C
zOJU_PhWVF*tz{`}mMw)t-%FtUS_xckECIHJ5?JkB0+}Wy@I<5p%-$D6%|tPXoG6C0
zh+^P#FNT8U#h}Sw45KfLAm~C7NS7DEje|vy>s$n0x<#;*s|fg>7Q(0gLYONmggapj
zb7ZtN8GUSp!1t&CmYyvDuYv-|-CF=R))s)YMgat|7QpDke9$<P4|)0dz`Zvg64&Mf
zpGH2EvgU*STprvylLwInd9W-r58gTC!D&r~&z=V^k8?r4KNn<*bAfk%F0if71rFU@
z5aP}SmFGENK9mE#<vEahI0r7e<^b379B^8c16A|c@M|m^HlN6b@u+Mt-JA{G#@PU3
z*)Z`b3$|Rzf`!H`IFXbE8+@{W*CGop%Vj~quT1ct&V*H+nV^=P3Br3afx|u%ST!<%
zi#-#>pBw|7fn#7_b__xfAA@SQV=$wC3}l3kfzSI4=$^~~!IK#fmY4w#cVvLGMFw1v
zXW&9Q%-u_eeLd+QoSzQ8q3Ph~ln!!B(%}JbI-Gc&24UlAU|*XC+Hq+NEl&gXm1*!-
zHVv45rvlHtRFLgS1;hMQ@CZwV`1PsKqn8Sw`5Aq0Qy}(I3fyT(f#pdlP~e*atX3&-
zNI3<*F{Qwfxn$rxpA2PX$zU3u439jL;h1qUSV<%U%l9OhxRnG29Z9e&CkgEKCc#pt
zBv8;x0`WyjAoea1WG^Rzc2go)rY6F+fJDZeG7);z6X88aBIv$IfPJG0FkF)W((ws!
zct-*}vP^(=$_X&aoB*pH$HT?Jc-UAO5AUMlA<a7;maUA3Ir(_V{~HGz9>#&>`8ar9
z9tUS4;-Jtg4vtbB1jxmK*PmGMn2iOm{#XbokA;YcSSa#}g|ie3FXUoD>Te9=`!SGz
zJ_hEF$H20v7)bSwfj28-z(p|zMww!O9!Ep}P&BNrj)q&Y(GavF8hEUtp-m+kwy;No
z`sFC7%7_B3bx|-Z7zIH$B0)JX5?;ARLcc^LRNsq$g3<^m_KJWeg$TI(_$Vx#I11o*
z6jC&f!i)KEaBc~Qso-$fxI7#_emw$3Jx5^Oks}~RM_~TnVYqVPFbpLehGCn-aEtda
ze7$lAlyeS&x9cHjk~{<)4-P^|#X)$r{U8LZ9R&9I1JKxV0KE1d00n~s@bTw<xO#3s
z^hfW9GgkXylxsiCUET+r+55oEbsxk_?Ss3sVF1-((CilmI@)1y=0hlK><k5#!=Z4F
zLLr_dl%X4Y!90C0=&#=k2I6~R_5Bd=sSJT^-w?R06$0WPgJDlsFx)y447TRMaG5<A
zye9X+Le?H=blU@dvU_0Zlik48up8d*-VIOncf*VScEOK<T_B#g3s$Y&1(CwLVEk?n
z$X5hGoNo|(*A9Y%p96ujFA!>@0%5&%An@=9!u6X0P*)Pb;Qs(Pq7eXxKlnppw?9-x
z_%n3gADH?4!TRP-C@R?rKez1!Kh2%+<f9+#>h%NGXg_FJ;|HDsejq#T3-iZ)Va(4L
z+Lri2{dXT|KJNnqi9Rsr=mY!`K43ey19Iwj!0X^0;9$H12AFn$*~RTJnY|tSHf@JR
zi?_qbn{ANPxeeSSwt=DbHc%4S2GV!8f@0NHSP{4tT=lm?+=4d@jCuoCrZ;%Id&97j
zH>`NG1=>5efLY`gm|n95B80ZUvin}}xyB0y_jp06u@__Pz2L~@%@9$r88WtRhDNQ;
zaO<ll@D6x_Q;H{4Z}0?Wc~98=Y7@L@-vqlNHo?C&o1j8?6Re%}0FDL^m<siPD)N9>
zE)NK~=?+21-61T%9g<hLL*u`VaPQJa5G&XSUfVW8yUs=s{pkjA!*1~Jm>VQ-asxRv
zHyHTj3VZrpK`X@-KD)TWxS}hZeCq;5y)KX&?*gSxF3=|H0@q({fPbAEz%*t9#5in#
z+fp0A@P#v+Xm<v=C<fX)gQ27|+<vwmVot9IlgRb(*KR#rl~@lg&zzv}v=bbQbb@Sq
zC#aHig8t|0827afWTMx>W`}jqD7_BYUO7Tgmm@rkbp$UbM|dsg2r+LQK()^SZYMfG
zj*A0$Dm%c^k845b{95>zwif>LV4ym~|85U@BlfT<#~!k`+QY3S_OSSm9Yjvr!SiA}
zaQC-^yM}h)!)^x)H*KM^+7_Jl+5(@sE!<jU3k|b2klbto`@(Htmz@oSNZCO2t2I#8
zvj#>I*T7HLHDIK=24cTj!@Xf^z+7u++HMVM%dMe>*&0?}Uk$UBt05_5HIVsg_$RO$
zF3(v(ZL1ZeMp;4lIx9G+U<FYhRzdE-D(J{u1rNPff!NYj;LfxP>aJM=Q<Ww7?X`qy
z3rlbjwq&fSEFh%A0tDhM;Eam}>{Yb@{qN?$JZ=s%h2}8eZw{>{=Fr4r4(<0>!f5kK
zcp9-1_}8rjOU0EC`^k*KGiIQgX9mf>X7Jt641&4L;Ojkt_$C5{2!b(3f<uY~2A>iB
z4kO&iM>xF`q0|H+n-?Kx7T|a*KvxXF-3<U7Y5*&LnnK(qQ@BxP3Od22kYiyAtfHn6
z^}+-=`b?lG%>)d#n855(6UbsU0mnPWAaT+d-h>;&B}ZfER5FH>Uyb18xDj-g7{R68
zM)1bm2qZ*}!11LaWSudD*$hK4*k%YtD-3~y%MhaO8vtvo0c6J-fR>v9T+uXuh(9a9
z==us+s96D%hgLxC+7*zhxB`xR)rWl(`f#{RA5uc}p~gxdE=uade{Yw=ilOCjB!4+v
z3Rn)RX3HT>cscxju?!BJT?W51mqD7(GEg&F29x~DApFTvFz8tdztWb%rL9Y$#$YL=
z@GONxb9xZksRsvA^dMo29vs)#g9}`G@NsqtXm%`tUCB$J&ua+?=`VpWt|jnjRu?vQ
z=)&D(UGUkW3%~Srp_E$}tmky#cc%`VP1S*ftvcXgr~^iPI-vMO8$^1wLGYM1Ncw1l
zmZ>&a3u?oz7g|tuP79`Uv_LjM3xZZ^!HAd^sK3>O{0o}EU#tn4!I~grtqG@PHDUc1
z4fuUg16nIJV9!AfFmluY9#su^`CA>X+)#&slj?9Lnt>Y`{t|U~$*vAOvua?}sRnz}
z)Sz{{8vHU*gLOh`aO#yRNDQh%N}(#S2dhGwwJONSt3uZ|74Vo+0nS<#7&xi|(Jm@r
zucHErY%1{Y{$hC5u^4937Q>w#i{Sw*hPNV%f#a<*XpSg@TbVLs>{EuRwaOr&stiGY
zl;GlRC0Ke&391s6K-OCcDvgw2iJ%gUzET9gAw>`>QH0S@MToOkWW*vALH3UV{J5<E
z_fILn#Uuq7+^PUWCJHbqtN?Rw<Y8e%9u^;$hYbhiA;U=?u4&4H9IHHpJ&=Q&U2=e#
za?t882ilf$&?X}XE5FIY^c7h++#m}ov9fU2Qx*ygWWh^77Ia_B0Ozm_%$Lc)odYs(
z*+~W_wPfHXn+!aAC=LI5rD1WdG&t>+hQu|}Fs3980t-^G?T!?jYm)+{G%3jRl>!cP
zDM*x-0)cOmP<2%juu&2o$4f${w<K7bN&<(NBwYO<0aceI;ApJ`Y>k!x2TuuDWheob
zLK0yARvf&>#o<u3IFv<*!$o&-_@^%pW&+}nI4=g%qhheMN(^$2iou_aVz5_V4Bjsi
zgMIU&z&a)hrB$MU5u)(IT@;E}h=Qx2C`i2(ffwT<aPEW%ltzg_oTmuvGZKN_A|ep{
zK^Trq3d6B_VQ7jIhHKu!@E3%^KvEd?e-(oMYeKN7MF{*;gy52|5Exhr!AW@`Q2Q+i
zP1Ay4(kTenvIHS`w;)K^3BtIVAVjkYg5@ItModZo=86U2>;VC&*dPGuO9dc?UjU-!
z7eT`KBFL**1WhrEU~<bM_yUVSMQRaj`OXiOH~HaB8$XyG<A>rPe)wa<4*_cY@Q{@s
zJRkGH<MVtFT*e0+NBE$2BOk0a;DZHWKIr_&3;VC|f>|>!2&D4D>z%wXxtbTc7V|;_
zGcTN&<AJ(<9%wJ+fw99p@MI$oa2WD{z9<j)f98hTYuqq@iklH<;D%#C-0;?x8=N(`
zVTgm#_nZrQhPlA3nhU0)xxm+(3)s!LphcDoynb_n*bFD!?&XB?LQdFofD_iZa)QPR
zP7o5|1eVVn@cSAEEVOa}dnN~n@8JMF2M%!3;b6o8IiPW#9iCof2bGiTusfL@&hKOg
zi8btSNR1sHv$KQqb2gY9VS}|bY;Ze{4g7Yn!9Pnjs8nVHTNXC>^_UephFBr2iWMM+
z6?nI?!c%ir7*=G3CMH%WeZ&GegDj9;$pS^uEKt9d1<sqZz^oz*urjm2vd7G@bBGyg
ztC(Rvh8c{uGef#1GrU%21_xGV=zGcpx+6?*vW5wC5}2UJmkI2w|7YpSqiTA)a5FMB
zs3aPdi00JZ_nv(dQ4vKXiYP-#h<=6&rFkAT&x4ed3Z+a9Xpo|ilu{}gLPA2{{o}i9
zJ!|iM?mBm!_1^vN^StjpcRxI=0TmvW|1=)f?$#-+iJC&)EmL@X-W0BV{tpM^|6!cX
zKineo59Pc6;@`Bt_}>064k-S`&jWvO+ND3J;q(U&sQtmKpC(bDWD=d+Cb3(0677Hf
z#&4CsF~;*ZuIBtkKEB`BS~r130TY;LHi5CTCorw`7v7Bdg>Sa~LWu>xa7Xt~yqfV7
zMIC?Qg(W{x;KL7$x%vaO+<st>-VaQg7)Qt3<H&fAqq6Zh%FGx?`N!W;H|jfX+xi^?
zq`%|C?lF|e8bi1JW7xfH46R4MVQ<+tJbCIHE@Hl68}B!aeef0cg?vS0i?667@f9^*
zeL+nBf?FKFpvTfLc<u8jj+c$1$>~wNOrt0*FpBXFpHV5|Gv2oPjQbaS#znoK@NMoV
zyng5t#%q1TfS(`H@AgNGy6_PTO+RA$+>bc(`3JN}`GDDbKcK+U4|sfZ1ixG#K@ZOn
zoVR)et7eSg(bo5<6aO9scD={`#qY88!!S0L4rBZ2Vf<h?j3U#AarKiS^u0KQ&+LX!
zQ+WuJJ`SQ-`5-2E4C3<DgV-WGh+a?MAtt>;!M*RWXX!hv`#OLXl>>OodjK0v2XIJq
z0L5PQ<NB<AjB@VBciR29cJeJ=uYHT!p>MI;>MdF=dW#e9`tZutK6E+RhiKS`5;OYn
zUt2GJPwK^A4!t;IMK7xUc!O4V-(Xna8*I0HgQ_xbFnFK`CyIK|{bUbL8TQ~s;U2{H
zZv2?qjfDrg@uXHaT1>u1{rcCa7V#RF+q_0pdW~B@b>Z2YU0Ckjg+JGK;X27K%;|lF
za|&OfpZhDEVfYG@g<m0dbmCxoC#E}h;y%4jG~nsP`AsiT@Zw9HvVVy}%U|MxpD&PA
z^8%g1USRh27dWEy0%`O)rr&ywv;CiApyhKES@axphdXd>c?W(!*MY_BJMg4b2d?jL
z$K}QCxWJ<wCDyg$Lh*LgeDe$~3!mY+lh3en^)uuVd4^kFKgF{Arzr3K6cblHMY%ao
zvGi3NT3%|yzsK9~x?vlhncar#U$x@WORXq=q7{W#wc_kKt+=S`2}1r8-0S`X<BgtR
z=iDc_q`L*Z3tDjaWDD*zZoyY#Ex5n;G5#xhj9DI!af|6=6p?z2odeBST-uCL=bQ1|
z#%4Uduo=&fG+|6d6PEfnVYgKi&Qof_?Oz))|864+gg2s#Z6o$BYef5r2K@N20sSsE
z;Ie%U*rn5e349H>r|l80%y@)SM;@U7J;J}U9wFcBhbUh75H-&{L>tqG7(V|YJ{fv|
z3vWI^cmD_2x%B~>DnG#b@AYV2SC4%$_2}(Tk1KTQae%KLFFmcp|FY`P(ya~+jOuWi
zSRJaqtwrt9S~T&gMW@ZRcu}zypM0x9@!A@6h^fK54mGHvTZ4%LH8{WHK4#_KM}z<F
zW9QoY=r462Im7pmzw#bF3%Z9_cih7`wR;%w=Pvp^zKh{$cQO0OU92^{i=(1<QKkP5
zI+fqSn|^mt#QF}ptKPwP6Sr|s(`_71xs7LBZ{vK!+jw8}HoEs$qu%vu<O!(8=i95X
zVp%oj{;9&$mMYB5sKOGrDr{U+g`<*HDEIyr?yS0nSz)*E`|ew4seKD81#aPr7nOMB
zawV?xti+~`m3T;@5+%P^VDp0t3`?v)8<z^y<W!)TSOrcE+{9luZ{nZen>cgVO;pyp
ziDm*f@$`!uSXOWYe|g<N6U!Tzz4!*s_;nr6G+oCZY1h%q?K;j~dmXPxU&k$<%2Dus
zIo8CMWAMRpv}2beOQal?2Fg&fq73JSmf<4%GSt#7!%fr6@YL&4yi!t%Bfh1mV^fL&
zD@t*Yw-h%$zlOC1*KpOjYuLEu8tziPhJXH)U~XFp+T@j>lt&5nZYsgD#U&UuQH-Zs
ziqR#z7@bcQqnmj#`Y9G;*3YZh*nAcLWL`x$c@@uZxQcBGS8>J9B8+J+LV>Iz?%XLt
zLGvPvQ!GM_UstgG@fEy~eFfR4uOQE+E7-F53g-PT#Guwf{4cK%4|^8kk<EqZp<0Mh
z{|fM0djY;KC_qu~0<^F$z{C{=_=&%OJHIYtS;=Ko4!De&c9(I9?q#eHzKmP?^0{N2
zkC(#p(SBb(DzWqNi&#EBe18e^?_I)}_)8e*%7yVIj9z#N^TzV9t}zckX6B*n={($F
zk%t*e@^JKDE}A^g#loUoobQ*55w^J~qMM7!Gjmb1KL?-O%E437IjH8GgF~xwut+)w
zy}o9nbwf6?GP7~%>1>p@%tnQ!*|?lH8&`E^q5ZWi3=GP`TYIwb2V@~zEDJ+MGI5|L
z6W1kYV%hObT)H6>FE7qS?Y|jV-;sfPuV&!%fDEkIoq=u!8K@_kfqWzB__8J)E0WVO
z>qI)nnWtm4N;)P?rD6WdG`xQ;4F`hLP{c6}*D`77Cz*yVqp2w0kcysJso3X{iWXZ_
z@sWBenodu}_P!K6Se1f8aVc2jnu2yFDJZ3wg0Ci%@lr=JdKD+5ZBQ~AJ0zn%lZ@I@
zT>CW%jhm9tHa7`9&n01=O%itMB%#EdB-}Bah?i>;kvBCF_nu6|X3Iq6EKkI0p+q$5
zOTf0O1a!KXfWpTTuzY<29#ly{W!?n*&=rrjZp34BR6HJciATG2@o1qKj~o78M9Y^K
zad+88JQ;ow6Pzw$&6<liE_V^NCgbqG=W$qfEe>VE;?Uz@9QLn{Lo2yBZ229Fmd|6c
z`&ulzg~g(XQ!L(G6N?ArV^RK348DC4gGFUAcs?QqZ4brZs&z4_p%jBEQ_-l>6^-gQ
zqmdI6jW$Q3(Q|z?<}ZoH*Zk2a-5Z6wtE2F0LKF(RN8vupC~R2~g&g51tQ?F)c5Ng+
zN{>Wa&q$ou9*OCCk!UU!i2|b$SlbkVA^8z#>lcA~dm~Va6M?)7Bk=pLaQxB{j^9he
zkvB3NB@c(Au30$lSQ3sw0^xYCFARC^hM`GH7$%+$!*AQd&`LK9?}&z>)@UeRX%0or
zf>5ju2t~_%q4?P-6l3H=an-*N{Mi+PH!4HWD?S7_xQF24Eg>kN6@s7UgkaCdV0_US
zjGg(x*zX^V<Bq{NcXcpoD+Ht6R1ijX2Vrwn5Q-!Pq3x+4EZG)>v-N_|O*{zSd<{ga
z)<ArEH4wLl1>)eLK=d>V#05(O@!qsRJTe%7D)j;QE;|6P_ynNGo&elz7=T)G0Vw^?
zA7^y?BX2bq$z1=8KT6y9qn3d`T1xrj=^uW0xx)|p%KcCw)(@SI`(fo~KNQvW!(*a;
z*!jg5O<R5Oez7mEitxn-S6{T*=!;)h_+r#-UxZH=@O|?I%)D{|_k><RRhJ7~esKX?
z)GlDr%nKO%!3Qri`QVvCA3PP}gJ%!<VCZ@u%u@5gdoz7-@PjvsH+!SW6>szl^~OdQ
zZ<I9mM&}jY_+Yj-F8h2Q<66$+^y2e)A>up=9X*ec7Uxk>>pWJAp2w<zb2vNi9J(Gj
zhi_ER;qH;M__^>bh8;eOERD1H>x&oGm3m>u2`>y;>4kp3JTd&1C+2y2VheeqAg?E`
zul2wTKMxcz@xYV99yrl_27@Ec;IhqUuyfuSjDK+&9g|L@q1|azlRu5h{ijep?-Z_e
zI)#UqpTg|XlQ>*@650Qq#56dGbN~K_5%>N>S>OM#dfk8MH1j`P{KOqUN4w+0ZSGjS
zz#VgYPGCXS3B0ra1eZIUK+)0TXjyg~(@!49Kdj?;faf^&)w!W_kQ?%Dbi+$xZn*Qs
zF_cX?hNJe!@QLy<yghOhZxtWK`V&X72acl9)DdLY9YOD)BiO$22<pu{g1McpsFd!C
z#g49Mw#*gBMh|1b^}~47<1nsSbr@Bq9Y)E=E+`S>f{HdS$jG_i{&$BkweS$WJ$49J
z8XUref6h3)-WmNvoKbAEGhUhRj8<=)P&m&CTU?wlL&piv|2~MW_Yb0T;6XgG=^%zm
z9>mh_12~v-fSVHs@RZI0?D)MO4QuveWf0d|?#GV#`|(uoK2*)$hl5A<aUb2>hoMuB
zc;cZWIz>35i?t(q$vI;3kOMv}c0k@!4rpTNfT`0Rkf&`g9!=bfpZDy=)64dv*w`Md
ztlEQzefOY-`5ycyu?M?)?6LlmJ>EWQk2PSA9enmU-n1JP<94InuHBfsWH(NJ*@e4q
z?ZTD|yKsZ~E_@-m3y=2Np=5y_HXOIZAjS@@r`e%)n=LL#w#B*oY*9?Z78NIUBBypI
zmjmy_4C|fvPGKkNf82o=Z|p!m?;Yr|eh2bO?!eey8`Led!ME-<m}+Q)`)1l8mjvO$
z%<VYSWjjvO-;N@D+fn7QHJT<^<7o$LysmDI|0cGfRsA-+8MzIY*lxp|CEHMaY%A8^
z*@_2)x8nS5Td_l7E2e+4!v89*(8kXSO)af(?IJ6*c)tbrU*Cd3-dnKJd<%|CZ$TQ|
zjIpJg@yFTCxNrSt?33DzP6L+suf!5Fyex5}nI+DUvc%SY3(P68KwmElJZ5Hr&Qcb5
zbYK(uT-$`1XE$N<`b{Vxy$MYQH)3MhM*MMpBkta~5j$iyqV;=oe0Ref&-<F=lFjD$
zO3oaUK5fALRU43kHlULA2Arq70Y%5w<AVF^Q8QvaZnj&G=hfEZtqC*ad1QuLE}CJf
zqZuyJF~eA1Gn8sI#k@3ATy@wK-?L0HRoE2mI!$nCz6tW4G{JYqCfG601l#)8VQ1+&
z{N%k3XIrjAkY9(#M%Uu?J8Mxed@b&=TZ@mDuSM1$W4zU5jK;~v_}bYR&!I7@3mfD6
z&NWzkc@27>UW2<$*PyBN8l?BDkyE)EHw3N5eKxBxXz6OKoG`-i1|wvWj4;yK2uINf
zcg!@x)~;2!`N}Hn^<0Ig%~zqU>?&;eY>2^k4RLd%Au8`NL;-C>{LE*F1J5}4E{B8P
z+&L(`j)Us+IcWEuFyR(qPY9u=9buR{;rJATPHhYhXEAvE1cNiyGFTwRaL1XAbF0|+
zG?a~*yV&TV$wqrVHd?l`&^(WYR;O6F-;9O63t3q78L{skqI?XZ^FG9T`iKg`h+(e*
z1&RUvy#d9o0I#S3T1*(=RFeT#rWxSbV+Oc!jR7u|GQhbb`p9!zAOA$?Bfo<_O03jJ
z?HT&G<Mm1mD_)6BJ}YtFwv~8r=}LU~M-R1H^)N464^>X;;WaZoTqmoC!(VkVrd}6K
z6LnGeur59~)WxECx)?F6gC5m7=oYDiCmeOq+du~sX6fLqUTqvI*G9P@ZSHrcjaRj_
zQAkJ|onC3-^Q&68@q!k%S!?00<y!cIM+*}=G|{*~6aSvo#JgKGF;rC(9sX*d@ly@d
zzNCRmJvC6xQUmo>G;rgjIv#0N$K+gfY&)ZlVixLXr>u@;zgM7m>k9PBU4h@utiWRy
zD{xYI1x8FRNA<Sl_#$sP274|?lg-OfM0Gj7{i}v|pQ&NqWi^aHr-m_G)i6;_4KMSm
zVeN}$I9#+0rF@s6#g1hdqqz+Ggq9(6FU91tr8q5kDSFv2#eXZ8V$kfRC_A8vw{NN9
z{wP(HKB$V%NflEiRPo5iCEWYd64Xjsf(pl$pp3~9l#^S6D}Jb;@naP{kfVYz9xB+d
zSp{b-Q^75~DtPIoG76R`<KX~he6vd#cdk^%zS+un?A>A%zP%WWVi)5Mm&GW$W-&gM
zS&XS;O6b<4gqGP#2p&qPwnYh-s43wJekEkO6meUbBAyOW#5@N@>}DzAqIrsV;G+Uo
z)hVEKssf&OSHQ343h1JufM5Q}<JlMTC|M$pHv{Ey?;d%SLV4^ElgHE#a_Cwoho-4=
zsQ#ZEF5D!C^Hk+ff>#dZU&*3wnJjJ&mBrKhWU+u`aX?BIRlhDm_r^uooV^H_do99?
z+ZN#r%|+-xV-e2kUx+Ey3sLXlLVR&#Azm<Dhz3dv@#h~Iy!%`RBTHoPP_PVca+E<f
z$)L`BF1{^5cJl(<l(zs6onL^FI~L#_-39n#&H~hbFOA-{(%7CVjasLqF@Cc&3ayaF
zv(uz;s&769SI<Y;`1x3MY(DPUFds#h%*RK(+~cpMaO+JeTpBHfLWiaB<2otqQk24H
ze<iW~r6l&0N#fUVNu2F0iQ2}JXfH2`@skqx;<*IMmr8IsvjjdqD1lmQBrr`*0_RQ6
z!<gsuP^NSqUJ0AW<r(wv{hE0gCqEC({)prBm*V)OOdQi9#PPpF;%L2299JocqwbU#
zYIcdC?oBaV6(fe$N5t^I^<tQ|L=0Q_#c*1$D4JG_Vr+sa4xJFi)s~`|zd{rxg+(!R
zPy}bzieOB-2r7AsVD)wp+@&Xi)5S!v>hoMY*)$hf`Ezl)-(2k3GZ(9AE@sQj#pqvi
zFt}q5hLq01*oZlp=Q0QHna;s}l{q*^U=DX3G8@m{nT@r{vr**qY}~(XHrDCPMm5pd
znDluTiZ#!|=*zQECSVp`ah!!~jb`Dn+$@awI}_J-%|zbHnOJ{uCPtl@iTgLt#MPQJ
zQFYEtl>8`+vl@j_IA0h={e@B9Q5f}&gwa}F7|;EifyJ+9;LxoZsG2wfkDZ)>HCtz(
zjP4Bd65}5KG97K6Ovh(M({WqqbnJ7Ujwei~<6PD0SSmCfcfFg2Vs+E7C2JZ+dr!k%
z_R~<CGY#j+PQ!11gz!z55VqeE!nQ;qe11v@`>loW*GeIjkQ7237sLbYf|yb!h@H`b
zDC;JOhb#s0o~9r!5)nk7Q2`un5kSYQ0@xQOfcp;%;MfKM3|uaN%CiKp@dH11tod<y
zAwRwk=Etkf{ODoEkDHe9qna>3w-)o^WCI_LUgpCOL0s#^hrdnvaP~4jR2AmK^&`Ca
zUn4K(7x3cSU|w8&h!<Vg^Wr@<UX-52i)TLaV1F|YS{3nNa~Kb9aOL50MILm};KAQ>
zc~HA=3eIIsL6^f6tW%zXn!$gtA^#r?I{kwPwSTbg(_ffd{1*m~{)J}kzi|KiAE>|a
z2Rcvvfj{^M)c;Pxk-L*{*LxCV*GxjF&?L-g_zf3BeuMVL-_R}c8{(f$fc?b@FtC{b
zxrGxT@#YsS$od89`+k9i>M!vA@DuJ|{Rtv&KfzV+Cv^S#0oK(&pzqudIJ5c(C{FtU
zosHv=9zG7oH;=<M$#F1w^&L#pzQgvt-{C)%?~pw*20d5DK=t?-c<YbB@Z>kxb?+Oz
z_5B9!rr$tv&Nq1Q^egzqe}&DqUqM~rE6gAK0-}XqVE)lButM((SpFV`3wKAM&UX~V
z%|_wq+);Sl{u#C<eTJUhpTS-EGc5S<2_Bbxf{6b<!EW{^VE8`4(nlX*arj4AVf7K#
zEcggcy&oVY?*sI>d;oQw4-h&r0>AE#fSdma{N6AEk>Vqu`|3RmX1s^I1MlI4`g^b#
z9|o)*2JH*OU|=>38$^e}_2m$xr4PaD{X?LtJ_J7FgD_G(2==~%FtC0Q+{FiBUe`Og
zpY;wro!^16_B)XIJpfbp2jFWE7nTF?PkI2P-}Zx1K|h>w>xXLWhdKQHaJcC$yoz}X
zTW#M$_u{v3{8JxD-sppeXZyf!T_0GA^nqGuFNkIJ!n8xZFhjQ&=Kp;IdJo>f?ua)K
zzx@roR(Jy%A9^67ya)bx^}xw>JuoHG1F^5VK|iM(h7NZ_j(#^B;q8WXO|M~j+-s2A
z&Bao#Kh_0nZ+F4rfG)_g?1BNAF3=f#1ra5$;MbW~;A;E|zRrCGKCe1KKDQH^j&#BW
z>;x0RPFT?T5+;&f!n=Jhp-1y23{1X&pATMuRP+m2WA_5is=k2wvF9Lt_c@#iehx!h
zpTi!7=P>-S13W7_V3BVJG;QhtKba2LFw_q6W$nOwt{q0r+Tp!qJA8Tj3<QdwfwIRl
z*u3r;go;0dXK$W@%9W?!f9ffWt$7MAqEF#lcN_Q>w87$&ZP2>94FW~lz`VN^WD8p1
z&ws5jxVn{_|E<v5{RF-gJb_uKo`9b56L1!L0$1L&!0#(9u=Pv}RIh6R4T%;ge)||$
zC6A%q>oJ^O{}`4@KZfDKW+*LhhCrWYaJFa$8`);C`q%_JZ#BV@z$S>;)&y0Hn_%o)
zBk136gusYKcxTrL8<#gi?e7Ly)6f8I@eSa-zX3$_8lZ;10nR^t1ZJ6!K>p|>;Nv`k
zFS8%P$m@sjrSKu}c{~Jpvxi_N{SeL%KY*H>4?rZ~0XT1a0IkXoVAXg%+^MUFb+PsE
z+Myo2bn0Ole?9a+t%LlmI&O~Dft67mu*K>?^KC6?l-2_JaR14<xfV_+)<V{|8hBk(
z1Bx*<aKfPm+H`8T#Iy#A+wX%$?tQ3ozYm+&-iL9?`;aqq4|Y}DgT+DjVBF>&JY9AV
zswVG3aWfaGcj1=nU1;Ong)x!4pz!t%>?pef>ArVhbn6{3TXF}k{kjcGjkh5)`8F&&
zd>ii2ZP+Dp8)m$%hI?hz;Nw>fo2;urb!j!snyiA!<|-IZ<JzNDFl%)cs7h49rlDKl
zQ+W&Sh1`M}yKaG<<}Ik^y9G-+Dk1e!CCHwsgn|u~uu85H`oC5{R9yv_#aF-_=L+a%
zSHR7=6_E1wCWKzU2?2pOA#CSONK?NFw|H+tU;7OZ&%Xf{9ycIi;|=(ra05)ouS4mh
z>!6Zy9deIc2aVO&p;q!b>>VkGS$E3eepESl?<<E5P!5W-%Ym=23_g{YL4RNw4A_>z
z7tJyd5-fuyou#m)s1$;|OQC6NDM&3V1=oMq;K|c#z`Aq|N<FTDuEjODxA+=ZPn5u~
z$0d-HRRTLtmcYUdB`_>s0(ZuXA-%B}Leh)D`$RGLm=;5rY%yeyU4`05SK)K&RZu#9
z6&y^iLeZkDz&BO|dma@*Q)&@#ju*jglOk9vTLhhBSKwsB6_8860&OR*K)Bfz*eZVo
zRDKi!UvnW0XBNWClZEiioNJW|VQ8WNcv}lVIj;b=cosm&<^pI@EdZIR%iz{=8J-nh
z2J*QK<=ZcVuEu4!BX}7$zs`p*rTLH$ln?9e^I^JvK0KM74;cfOz@zFC*hgQ2O-`4<
z#PAZVm%0SoKj*=b`aFnC$%CrndGN(74>T0>;M7DeG_~e}YJM(6oXZ6s>s;_q=UO3d
z+?@le*K?pLGzU&O=70t}2S&wnpz=dDgw<xlq2z4Xay%Q1*Jp#F64y><fz`7tI9!+o
zkr%R{dS@1V)5!wuSy|vYkO@z!Gr2V}6Jic$0{_}f@RH30-k%u|@gxIO@-yJ!`3!Kg
z;riMcFd&=(h5hN^S)C5nap}NvO^2oH(m`H69TX<gK<#N7a0=7F&NmHw?b6`-$}||A
zn+7`XQ{j9~D!fQe1%3Ba$lRC;^HftIk~bA3yHX&xJOwB`1$qypK<KIzSS6DJQ{R)}
zVM{V3<R^ohPcm$?O@`GglL17y7)b)7x+JhlOM;`Pk|1t#64WkFg5N?(!0Jl`zp6xd
z8J7sUM-w5*ED>fXCxZ7>0`R>`fY9;;kdH`!+fE7KuqFY-<PxB9A|688<6&!YJS+{4
z2cdoO@R1V_T?^vj+4x0hZ@maTg%{zg|3#R+_abOB7r}o1MTj4ZgBLAvAYTv%Zhmp_
z*gg)l*m0016$kUiVj-p_7Gw%y;fh}@tlbj}@7b{sH$N84zQ@4y));6hjDggE7;txp
zfo+@^FqDY_ouAR5@hlp2ilf0WBpS9Ihz9r7(U2+^4UZ?IK<H%@n3P9BOk@-cx<rAI
zX%t*ijsgk3C<y6^1mUVkh>nj0r4x}*Z4n8(Rz$)KVXi+I0jFvsfSnNmGrS_;jZFmH
zUKs&7;t>%0B^*K@heKFFI9v<}hkVCys96;b?_|S4^iLQVcZPw_jWBo^69y8;!r;)x
zFlbZ@1FachkU1C%(siMbm>CL+=R%>(HWbV;6h@^&A!$4W%%6q8^lKr|93BD*E+KH(
zECkF{LqJ0)1QrbhgLq9ah-L)C{IkKZ#5NcRgJIYFVDSGD1UK4)V6-#{G^2vx^pPNF
zG!KHs%Y(pQI0(KB2g2TmfzX{B$mJq|@L_KtoLv<N((-|D`(FS!bqBzr>Hz3W3V_tp
z+<1EckbVHjNCp7UxIcV)<_~X6{ozfNKMWl8hp(IbK}f?Nl;-$@$tOQ>Z}x-2LO*yP
z><1doe&A*52hUXfKx?`m#1Hv`;6q>V$n%8>KVLYv&lhGH`$FboUmyWr=<mM(k+m1V
zIQs(dUAO=b_g;WlqYL1qcmdY(T>!PWJ|I=&12eOHV44rt?&ZctKA@)P!+qZeoZfmv
zY>hWO%<|@*?+t4lydiwGH}ooTH%<h+A!Xn^2-cs6|8md6sNZ=w!WDq~x%NB+EIAKy
z)6auf+c{{8J_o8+=O9kv9EiR+3n>X_L4U_t=#x1MN!?zsH{A<xj~6H?d4beBPgr=#
z6SSN>VXK-a1b*^>#$peUaq|EVT@M)faRv@no`G?XGZ0N@fOyZqMD1y)^*;?Mrl-Mo
z)@kr~atgeoPeI()Q&2Jg6pVD81hw>&;Ia24yiz_1Chz})`YZo|#nJy@MCU(<`RNYp
ztK32CoI4B|xkHnXJKSkJ0r$dBK<nlcFe-Th7Ihs5oAl$5<8U1QEjbSRKe|D8i5u*7
zcY`0`28sWUfm!V_5Dq*BFE<>6>!QaX<M~lYN<Io%_D7*o`6%>^90AdiBe2E&2xQ|C
z;Nv;Mt+}o+66^{mEL>rhq$`wm9fkv$hhf=)!!Wu0FueNa0*@+Opzf>-w5)M~L17n|
z)piJ0#UJ9<wL{RMbO>}uoFTKs85W*&hFr!O*aFV*w$TYLMmfRu?M|R7=LAB72jSb5
zgYfbALHLdbL749#s5cyd-H`_%&H4a*kUaov2lqp9(SA^I-w%cC{oMT74?Ru$AT(wl
znC#pKVoLj9WW*7klsZDq8Aqr!a)hVCj_~=Z1I$l$01F2Ph*NWb;jz77TD=!;`tAiC
z^Sy9eVlP<r?172AJy3XL4;(Vs0|vZ%K)lf&CZp})>rQ+4zStfFKko*mo4aAt`P~p`
zx*MK|apTv!z&CdnjJfWDBL=%*f_E20Hrau0oE;4AvV&YzJ2>{u7R;(`LCfD3lr3yQ
zWq~c|4(tSrt2^QJshv=4v=hF~+6hK4c0fkv4w&h(11_xG0n>SRKvI(pz(pH)XKw>(
zYBu2bV>_2OZU?E*?I2*i9sVh72f<I)AYEY%c)=PDZnTDMX>0f}uni1Lwn3K1HV|F6
z4Z_5>fn?8CxN><bY;@lWe+{=n<*cpX^U?~o=WsU|k6OV}wiPH(w*vL{EwDOc3+!{*
z0<i{LpjBWC%x~Kahf_Dh6Q|9<tlSJ0e4Byu#1ft*Tf&KhmY|?#30=IFklA7ZCz36|
z>YxP}>RABrSpYrR1Qscqz}0CJB&^&7Pxv>1SldR}o3;_|9NGv=U?ZdmZG=Vb=1`bv
z4#r2!;Un7|(uK`o*UJsCEN=two!9__t2V&%xf|eF_j-6;xE{WqUJqg>>%mZRJ)9XZ
zgL|cBAm(ibM>m;4*CI36{LvITZkd8(kSR=An?jz7DcFpg!2CKB=#MsmTYF3(P16Lz
zr`ADm%Q}coT?ctC>)-)v9efjB2g_cqg~ONELiMS&AZ4-^&PuI?uY<;L^oB7^`WZv?
zR%6gpHim)kYap#|4LHWGft8MHV4m(8_{YBn#-6Q)@7b$?_rz*gux2&Tyw%`3U<3u_
zM)1wo2#mKHL5{K!%>A(n{2r`=Y4NKd?!YQgH&_MFrmunvorb_EFobCyhVW{=Ayh6j
zgzQfoNW8;=qzDdNvgg2EEe`baaX_q{z&w{A=0AdW>j;db2?|FTkgH}OjVs@<bT<Qc
zH5u5$$H1I+Hay5>L-0v9*qE|GM}`g3pI9J#mjyymEST-U0(m_a&@>ht=tM{^MCkHD
zP_aPpROD`veg`mp2yj0UfIH>kDFGZ31(-Wv0C#Q}z^NbuAX@{Nt6=~icn#obyFS!i
z(uezJ^r69AA70Dr!|$<`p!9GhSSPK7i-%W2ui;A2o3|3;hV+1^N)P@E*MlE>^uSwB
z52R-3LB(rba4gXU8DCxKw$_CLHC--G(E*2NI$&{02TVM4VErZ?*si1lM}KNVOp`X;
zPuGTt<J!PB(T3oK+R)Dx{ajnG1?7oau)<XfN{qCCq_p702TeG0PZLz*G@;K)6LLrs
z+{87(Y*+(U+}3~v(HbCjKm#P$8lWhu0XV1*wpHp76sZpP_NfCOOC2_fs6+0%6(Cf#
z0**zlfT4XW-~ej{d=ps#0fWn7N%eAQi&_qT2bRMcW;x6jUk<&)YH;U{8sx>QL4vay
z#2KnViliD8eOv~QYL>z0gk>OmWEpHXUIwW$%i!bJrC|JMDdeXu1qt`15Vn3P%vD?p
z$-h)V>xn9~<*I^*rz&V{QH9S-RpBO&Dg?h+0tc>gXPDm-;Mgt!)ZtoTZrrB=2P#w`
zI6?((?pJ}&j0$&6s{&^}D#MdnWl&F6hIlt+5H?eW00m{3GqD)bTNeZ7FNQbg7DKr8
zVpyxO7^Y8K4DCHiP;f&Dg2R>I#C|0>NJ_9zQVCo>D}vVpMMy|fgxmiq!iSBDptM90
z_Dw0kwHFE?RH6X;0u`XeUI7e20jfn6z-UAs+G^y%IawZNpOA;j4f1eASspb0$-%GZ
za?n&P2l;_=5WYta&Y~Qg6qn;(vn=@6%R)+;EL5G8g#im$?)pg<w(!eB;_F2)e0>oZ
zMl6D?gNtCc(IW7XS;XZv3n8#&AxP&hgmUkNuzlx35Y$@;)pHht=dcW{t&sug6d4$I
zmw~QLGSIkGhPxJ*fx7Mm@Z{zK=#N?eye<nsb?pM!F24YxeoI4pyEMobOM`omG(2;V
z1{O)fmHE=3GBzJBKb{YI`SYR4XFfRF%?B}q`A{o1AG|(Ef#D-5n3XLBZ@r}8{&p$2
ztRn?UbEF{ly(GlfNkVqIBvhP{gy&l&;jgA7te7PU`-dbTzeWPaQYB#BX$i=&k^o^%
z2{=7df?K2Jfm_Wy_>(#hB2Lc(wXO4@RdXJkoiz{ihQ(pLRvd1pi$l1FI2^PVhxIz*
zpg&g}mVXd~We>$bGg}Ne=fuEzrx={l7lSNuF=!tZg}Ke5uq9s<GJHj0+@9+*qHs%E
z6qfxE0iOTAF1dcu`?a`yCErgSeZ!}5`l3F)`j4g-8WhV}8U&mB8>rs6Wbo!ev%wqB
zaf6}}5$^t_Dwtj~f*zAyu<(ipw7G=AwBb~kT3ZalLHFTQQ9C4-4a41}zaV>U23`}8
zz?z5h_<LeG@+SiZ6s$!}RV&OF-;2pEN3m4<96r_#z_WZ2xO#d#eqEi8yRKhCd)pFx
zY*2}wW;JLO)r3E1b>OkvJ?Nh`jI*o1VfT!`I8@Ki>XM(qx)C>r<+ykrtF>90H54w#
zigi|I)$CSd?Q+#(SzXj;MZREIf3?=I0&~q+i?l6S`7f+lk{5TeHXq){GP84Gz2A47
zwJ_ie>tOGB)~O(0)^!SGN$`ZS!XHPlq%Os<@<QWT+Gmql*F4f$(tg>jJxP~X=c)=>
z&cnqlX@zo@&%O#)%JpiNo#=g5^{IMR$%h7(hI0!`^ZQd)LC_0U?6TLaf#<!fsPK2J
zXv+~+kK8EBWnzq_-Sdm3+VYo`<;csvJH*f4e^iJa^KUwPRrE}@i`pEvNTUdQiK{sK
zs+1%<<H3CP#2FcOxvnhx@t8cDQ=!Bb@=;;SS}tY#C@*KLPpPwId$iaaYjoL_h5GCr
zNyt_YXV{tnhHP6uZvU#lwQR*GQ+8R}2DaU`P3(mYo7o@UZDl{4X2UL2w`Ird*v<9`
z*~{L2e;=Fm=O9~{?ZR$2e}sL!(Ty!A{U7^`%V~B?ohSRB$aywzjW_$S`vvwYH9z*5
zet))9S|D3uXE6Ktf>5^l>oB%)Mg;r%er^v(jTm;)?^yOst|;{5_yqPFrzAFqQrI8n
zrLlWIrLz|`WU@2zve^gxbJ<4^USi+caG7nSQ^*!tSi}~bR?KF9FJTw-m$J<}%GpW{
zH`vSWR<P}F-eT8Yt7dP$dWS7sbdNn!RKxyKQpa9!;{kjB?MLjV4;tBaPn)@Ydt2BK
zMqAmL+}^{n5*_RmwHNG))t&5jc3o`6Gu>?0gg5L56@BcbUH$C1sdwz@D#P3!fFtZb
zr#`Yz=YD4Yc=m<uCNRbxSvk(OJM@#?kU7C#{%Vr#H}4<YNtK5QTF31ret?fD3FK#P
z6bLZa9t$#=UxgSy$?1$Odj_N8Ak6e}`?H6Y&0<u$XEUYK<}%B4M3~6kqRiV+F-E>h
zoG~4l$Lw4n$yl$KVpv}D8KDwsrlNlVV=;dr^Vob5qwXuq9IujNlE>tk9IoC#_<kkE
zCUY^v->uAqN-tr?wy84uaZ4HN_GQeLdCQrlTURih7u6YuP7S7hp%yb`ug%QO(_wym
z&}B-sS29Lt^qIUG1EzZ>GJ{)L%>4{DbNC~}yf@%5y8ecYdHX6xS7|jf?6!tESZmCb
z&s)bd?l)lyDoq)y+3T4Hdp0mUH_aK|*_)V04i?PTDof^)_!j22ixqS6!B$3F!J3Km
z+|Crgv|%Fjb}||<woLd}JEqWLH{)Mo&&Z1IW!&5x7@u}WW`q8IrY-3JGk5ABBjo7J
zTyHqU$Y>sB4B}mxnNvrYm;=X{)>b#>KAvFq<+?LfA}5(z&r^)o`_s(OHV=lk-jiw6
zIm;MjpJU2{&NGXQyqWIb-psc$AI9$R1!mC_Uq-vnmq|(XV|HxwXIw-Bn5WGFOh{lL
z6Tc>i`N0#+T)G|16r2fRru4b`SmU8gN?8~)a4ekh)Qn&pM<bY&tC5V7YZNoFBASu?
z9L+>ujbW^g#4?VWam@X%ag0mZMaI!Rp2^owVBmKGBY8WKq4P;h>FQ+W*t8VJqbY@X
z5|PRrwn}5RN~bdcJ?RWzP6qS9DU*4ok;SO~$YScNvzdYmIb2<<TxPvk9wYQBkC~Qr
ziP_|w&va{FX0A<MW*X}X7}fAXrpfvWQ>IYF)n6!LHr=?&@Ou|Czt@*Ax>DDeYj3YH
z$F7z#$Ip~8H`kUkjQDj%p!Yg6yXXd2v*ISx%hf6@kf>zJ`zx7$*KRR^=c^dYP1THz
z>}@9F(``oi_8n$8^e*$>_8z0U;y#n}_da9C)pgvGUd#9&tz*Wy+K?II514>=517k0
zA2LG0kC-&u2IiPXBXgFoiFwe`#F$)eX864xGrufa7!~CwOxVN|W_e31!=K&8h@X1O
z>@a`EbSkzp5x?3Q&z24*Bj-6+N9hF<YWb4cqT0z=Om#9Bp1)!~6m>Cyey^DwcHNA<
zUJsKz`wb&J_=YLE)5~0l@8fC^zGWIs`x)-T!^~^0rs}ol@0f~`LFQ}l5VLdNF!Pi1
zo~c_f!qkk9Fkf0fFq^J?WO@QVF{uupnNZFsQy}w&`StS)<KF(2QMmSvnG73a1P*;?
zSSI64hVl<aoBt>Ct(U8Xd*>H3kut#;di-X}Y$lm427eeislSZmkG~9b{9^*krx;!{
z9(q>ELsd(8sUne=8fWm)*VBBoVuX**?%=0^Mt<7G5};3o0u;GWkk*9>lK4MC8gmt*
zp*KSGnX899qh=Zz=uD?GIn$|?tE~(HGwAxS8MMY(m<GFqDcO7`IozE|q&17wvbm6$
zO-#US+A}em5)RFwzV121wwOzoYv$4tJrTNjNrY?`h|;VuQEHtMr93w=3VSC;e%r+<
zyh)t$X&ybjHjid2OOQ>11YPH9ZY!LV<hDkVB(?og^r%yc+|B2c_Wk)Zr7KNc`O@@o
z;R33OTtJTnWN7G=42gV_A(K4|DWYQ`y)#`zW_K3R9c@`!bxD?<%E*yhq#Vf$%G2x9
z@|5>kp3XTa(EgVSw8LDHY-<$BMPG@6uPD)Vg~jyw;$qUBrAz_d$~5#tnYMDZ-dp=r
zXuI_i`q;dL!i-djRiR4bE0$7q_EL(FUPi7F%V>w78g2GaqitWg`t%2ulTY_@y1Zot
zy>3`RGKT83?}j>6E!Uuh*%}lmtw}tQnsh-(i$uM&s9;Qs%$>DqvR9kRt##;Riw+qZ
z>(ZiXUE<NvqfeLhXh41?y^CK-U*_nOpuavX{;N;sCk*KP2Ls}6M-bmDAWKW6f=5WR
z3|VyYCW}6(v&kusO{0q#IvdB3<ZPmwzC?Te5Q(4QP|F7nML8IfU6&zgZCORLn^w_R
zBO~g*WkhY-tLbsUYHCwlL)}Sh=&P79%?dFl4gR%c<FS@P#@15Zp>-rMu#VQ-nowf9
z34PvRN@n$@RK%E()D1HVR9{b1dF#nbZUgZpY@jd^bCL}*ryIN*$?D8T`t@xiWgXf?
zn+G=0bUO>G>#!jIjh1Bo(2^DyZl+Hao2g!F3uPB<A%7(+a!s)!TZyf-DSRufo3@SC
zoZm)kC$^Efn>E>duqJ26?R2htJ0)(jp^7Iq)Mc`R_-b~LI%_BGD&I-bD{QGL&z7dk
z+mUIa9fgbSq8A~%XtCgKI&pS4J^Hzu<d4~t$A~?>a@a%c?md*XZ7<Di-AgA;9cZY=
zfp)MRsr9-enQH8#`uu&gMsYtqNZwCo5(lU)`~dBoevpQ|57K{=2WgtS6D5CkBCUhY
z)X?Wljyn$#Z^t3Z*yuv59=XuKs>2jib(l2uT&eS_D_u}MLK;~|s9WYJg~lBvX6`W>
z4LnBKd~USe(~ai*aH9uDj?=mK#|a!x(D&CTsAQWv9d30eHM9R{r1n25U`~?r&6A|2
zb&5U}oTB2zr^zktH0jMhLlaSF==Mwx^7iu}<0%gkKJ7_QzIjrtix=4pdXcRCS?cdR
zOP98sqeG9+QG(KWI%9vHY*Wt@^XfdwN_o@N7H{f}^rm}{y(vT3ht99_q20bdME8AY
z;XfbxjTh+U$qRJ7`~pRNy+DW6eaYmIFDd2w(%%7JdamF{#k>3{AlZ+r+3rWW68<E-
z*`MBo`%_tyKlx7&pzX#1wA3enChi2#qsaieXb?ya?t!FH8c4rC2U49{5QQBKqOG|>
zwD4^Zy_F57yq&@1ln_j69l`WbG=vH_hLBT82&p^@p+137N?sL8R%b(LW>qNN{~1c|
zx?!YxEQ~sf!YF7YjP#d;(||)bMP!7NL3cRyN=K0Ywg_4l6G4xkM3C#ONSbXLNd<n9
zWLy(TZ~jHnNmdliJ{3io<x!;bHHvCiM3bd+G<D}i(}DhI8kLJ7ciR}6NQfbiju@I0
zjiu8YV`)4%mRujk(mVb*+F=++k3Hjvsf?q-@i>ywzDVA#7iqZQBAE|eq!Oig60wix
z=6*aiyo@JBi3B=jnLy293ACs&fn0<Vslq6c_|7GgX;mVH{Y<1MI!QF=XcDczl0<&P
zNmRW!nZDR3lVWNzS#~CqmqZHXS*CD5BZa;+q>!jkDrp#{lG)i*+IuUNPX0)xAni0t
za809}f;1``OrtWzbh@#Ni==cad!9~3Vi}aPF@q9<Gbrdm2K~pEN%oXU>&|47+Ko(_
z^(~X$ugIcWrz}d!&7#A7S;Q>LCSjXwdKQ~aiLKdWJ1d7|OmgVOg&c~wn?q|Rb7*{J
zE@ivrlKItK`u;wb;+6AAe@`AgOUWabmwCiH?-E6Cx<v9Jm#E;uCDP=}r!pp=v`^<#
zQF%Tof61prwaYZ)z-4mJx=cOYmua<h0p(Z~5N~7w?Pw~XVxdCfF)E~uUWJrUQAj;w
zg(R<Wg?2e#p@iHk)Y5x}cor6sx^)q4k1nFKkBcZ{`c=BU`YJs?dzC&^UZp?ZuhI<7
zViG%4Oj3DV^c9o%!V;QkT|!e)B{bSxLa(M>qx(kJD97s>`BYpZ+p%k;tzJs}PNmeE
zT}p{PrDP{vMvJV<s588bA{)wRwLm$2rE*F>T~3DO<<$4NoV=D^Cke;vl%IB;^gFN9
zeeoN#ZsQGl6nKNy)ZU=#zc)z3;3lQI-K1$nH_2t_CN(Qmkg9D3ox4~;ZLJj~H?xus
z8duVlbCulduOyZ4m1L`ai#v~QQDxRG>V18S_@$~y!Lo`lq>47ySCQRR6&-+TayiaL
zQ8gVHswO*y+q7}#ZDPgUCZ#90Nod9$8ZhGi+U|LWB5&NGU0?3dl4W=4gTq}aNWDvr
zFYc1G=sjvMyGJK{@6m!g_o(XUJ=&&qpFTR@C$F6QG^6J}MM~9>sAUa>1=o;3T@C&B
zw}$#x){@!LTDo$%mS*(VlKsLuD&1N~Q{i>A_E8-L^43#5*3+Nk^`u@@Pdf+e$w%%1
z<!paI_o5!qi^d1^p8p|@vmeqQ_lNZN>O-0sdPt-4kEqw?5j90WqH9f$C`zD#T$l!0
z^<M*t7B^7WPy=PiH_~pKMw%bpNX?CnbcVl)l-N!5;6xKS6gAQ0yCw>gZ6;~!X3B_Y
zCWS}Ml*03v#NaXc9D7V3FFz)Ww~wiKK?_aa(n32!S}4D^g}zL-khbm<a&>t^IXO?L
z<Mk8bk!U4l^Hy5p*GhJ`Tj}U{E1g}@M*jQSC@{5+d^_6c%<QM+Z2Xk0yq=Q5^`|8H
z=_!3){EY6~KBMs1XSB8X8A%GXQyZ(D{ExSjUST`+ylp4%1sx>2xr43;b<o=T9n|)#
zgSKftr;Y>9$vpiz-F^O?)aJaPDB~CO)$;|dFMmPlA70QW#h0YF<0YMpdP${^UeeIi
zOOn*@B#vt*?al3^bFVuoPW%<+n!Tc8?^je-@rtgEzM_1UE=siPBH!39a%$=#6Ta6Z
z53lLlk=Jx5?=|^$zoymmy6KNuH}|}5+F8*}yrbQesoX<o+e43|duT^P5A{y<kp0Rx
z^vdN8nP<PDTb*x6L8O<w*Y;AEXD?}#^^)iNUaFPrBmQlD#Dw<Iv6?<g`_)JF>Tl_t
z<6D|adP`z$Z%J-iKPfX@9PcOD%l#z!rl0=J8=wKR0jfJcK&dwd=;+4*Vk^EQ-tF(`
zUf4T2Rr`*XO}wKH^+7u0I7su82C3x9AgvM{qGlW-i=#vIICqHFbPZ9t$S}#S9VTy&
zVd^d!CY`}y@{xH@O&0HIw*PxFsd`UdU*1!p@(4ZMF+yVzBQ(2ygyesZ&<c$Yq~rL3
zv=cv&TFVDo#Q%||8+@csE+45W^CM+F|47GYej>*36Y;ozqUy_^$gSrSDTsfjhIOCG
z+4D0AUi(am?>>{tf>FA%ag>%{7^U2sqa^illzimB(2&&^G7kDeDYw7S$FE;VPvt9}
z+QF?d;a}-}%~z88`ISiR8|~WtjZVdUqmYN+D1P!ArD%*%lEWB9#gCCs(-^r-jnO8Z
z@1%C%JMkocr<RuQ6vsDCTUU<LT<3ABNgXHGws8^{{6W_YevpaF4|<vYgZ4c8LH$BM
zX&3&aXNP~%s?491-~N-PPya=GSih*u^%woi{6$6`zv$fb3A)ajpaItjnw2#{D>^1<
z-SpqIgY}#CyZ)v_nZL=Y{WsZ9n<NXIBse@tG8vQf<LM+d3jU#ZgFj?<=npMS`$O%m
zf5?yjFKMj&OHU8}CD-J?#NYClqImw%e4T%ku<sv<Cj6rdjsNKLpMSJjV~UFROp##h
z6j?o(qLg1#<SN0#2~p?a<gDZ2+_LB4G@s_-bVc)U1`ByOpX+!y-@17?V?TH}U*__1
z-mCI*-mK!~wC&*K+&j+8DGcT1#N_gFPTt|=Y=6Pa(fh*7nKOfrGoZl7xq*Bfzb$+m
z3l~1ld_O+U>r_5Y>J2{5jwgH^@nJqr0}nsPLz<tnOq-w6VaCt#a^UAEc=B`Z$MSP_
z74dU^*7I}1diXhVKlwRV=L&E@Re*EPP=K?>Mu1ayOn|d0Sb%dYOMs(UCBVsgCcqK-
zD8TU$5ahgFD9Bl>C&<Y&7v%8m7v$_bE66Fi$n}c_ITjBEIZ1B>Iek9`Ig3SvIF719
zoD4%DPUm(Z&YWXH98QqX{}?*!xG1(Z0GpqUiXEtkVxXWRh!_tdNH<7#_xA4WVqd$v
zyIZf_-Er;i?(Y2FKc3(2%sFqrXLfgHc9+71|6}@&|FQS{|G5ABf0QayfyNCh(796u
zeElmBn^u7=a|KkBDqvVu0n@<>7;jWS^PvKHl`E3eyduHw73mgUkrsIssXVwMuVz-{
z<i?6DJyDU8`xOcOUXf-sEAgszCAN4}!W>hHZmLRrA6|(~^DB|Jtr9l>RpRuMN|^ps
zqFLR_9ByBkOz+B+NvzBqU1d6rk$sCR6S1o@cP_}-i^@DNU4`5RRd~{&3dz1zxRhLl
zKE^6+9#@4X%c?MRPZgeBs)FyUDl92mm0u0364t3Ii~OqcHl-?EO;s5%zA6WoRi*Ua
zs&v0x72T_<tSDQJYYnSWzEd?E{i+d}QVoN#8dJtqWBt-<9Nk@w>ldr>{6#fBm$u?}
zeJjdzu%fJw6{VA`_^Gqv{b(y5EwbX`4lDMavtrp(D@OgXBCk$$eA-o~S?}t6iLK6Y
zRduEfuTJW`>a^ZcotLMov-&}GvcFfSX^k3Ovai9=9yM@|tikQP8Vng!1N#{@II^w=
zDMxDX?Pd+ee5gU=N;O&8v?iTgYqCACChqC-sMN%HLQPgJtBK8?nvA_zlkd-Kl2*!^
zV|A@*-QJpEy{)+yYmKYQnvuh-xi-fdyG_>QpRi{AU2EQbwx)g6T4Xh^#T>U<oDHtU
zuZ&u>veY7YVl6bwYcXk0E!JJE#j)qLxb?Rduj|z2r$cSZd)B5(Ol_=+YE$i>+EkiV
zo6;L<^Z7_^p4_a>#rL(@U7-$(Z0hija~;zC>d-T}4t4Z(cs{BQI~LSo=+-&}pRPl#
z2X(mowGNZ3)g{QTF6Fw`Wm|AvvNP&Z%UqXT<Li>Lv@WH0)n(qfy0|^5%h{iGNv&Cr
zclPzLbgxI*@Oli-u1Cdw^%y#-9)FhCL${|MPcGCW@>xCh{jP_7t@?~=U7r^{>eDBp
zKJ#<x^QoUapIo0QE9!G+PkmZmtWVCf`mFd}pGVdWXxzF1VLci!IJ^NHvKw%tqyeQS
zHNb9p13Y&(AnAMq3{M&`>SqIH*J#L!mJRvWy&>B}8nQE^Av=_Y(z6X&v$!D(wl`$L
znTGUx(2%UJ4GFB;2uIsSRCR5{Q~yTnO>V>_T_e&)Ho|FMBfkCHh&{&|G2m7sdc2qI
z@{L*FurX;)jj{G>%-)#BWEVE3>fpw#o7R}X)s1<wuQB~DHKxY%#w_^Vn0D4SY_Ye&
zy_*fYLTu=oVZ$bq4Q<ETFn6I1)wbH8oV4No9UJ<5v|)LLCX{d7gyarQ*y`1UO0i9d
zEo{QlK}~o)wF#Y8H9@<#2^%jo;pLMiH2>LzsOn7_YS)yFU7B(|pecWno6=O*lpZ6R
z5<RCWMH`wj=x|deUTezSS4~+~su`<mH)CyUdF<YdrJ>E3lhKUvre+Kn(~SHD&4}FG
zjIPI<(dbq)zQ1k8rLwlHu4l^t2U|k0rE!EUkF#W-*_Og_wm2-Z<;fOX=AN)6?6xhX
z-`ldTTyvu9H|MuQbLP{Wo)OKtp4A++xjE&>HD}tw=Gbj%&f4S6alX}@t#6y-Qr3=*
zb?s==){c2S?5G}QN52d^o*L~49xY?@?5O##9fe2iIC{;FMz7@gUpsbLx8Q&FEePt`
zf{B4GIG@}CD{TvWhP9yI%oc1|(}KJET2SR;3!I;{Am)1ul&US6-n1nfJGJDvcS~-@
zwB%)eOTPARDLvMb@=IG%VS7vdcd8|&@3iFmyOz8zYtNm!_MB>C&zA1?%nq@qf0{js
zdV9K#u*Z6~Jx|x#vtz$K!!Ozs{=}XJ-|e|wr4@6Vv?8u!D{6bS;$+`e^vi8UyOLI1
z8`p|~3tQ20b1RM=ZAIqwR+M_xis^q^;ZU<RyX;!y>)M(NzO9LgZ_UlZ*2E2L&6P>5
z30~ToL)%*8a<VmxZ?(qiZEN(U+i<;B8{F;NFx{;U@BQ20lh}q?#cg;os12@D+Av^Q
z8xC)8BeAu?`*s@!zHP(y(rtNFt1UM6Z3%E|i{8I2a}wIJzo;$u2Dat*q_)&u+Lm_P
z+QNyp1mA2+-0QZa|7}Z7O$YMq9LRBTAl=7-_*e%*@*VK#=YZpQ2kI|$;P1Z<JUr~c
zp(_q7c;<leL*`U%NAo7_c<<DXJ-ym7ETSC&neC`%Y{%&l?HE3*9js}`r#<ah`d>RD
z?ziL52YFtuJ$`lD^P*LIhIeg`Z9sdrC$uM^s696av?pg`d)_Z<k8yK*ejI6!a<x65
zpS7pxM|&Psaip(}BS#z^>FD9e%rHm(q&bqJb7b#OM;c6bM7_e1qdOd_cgm5>TaIja
z?a0?Zj&!TxM2W2vJ32Y>v9}X#qnt>}a$=m(iCrU{cs$dIs;ixF+U-Qh87B(vI5G6C
z6SGToU|r1)>}}qGlg=Hu=+%MiQ60FI)q$JF4qP44fparEaCDXYddIE~EI-|W$+tUD
z@}>i+e>>2-Mn{_4cH~dTj$HBV$m)oWvMxFjsP9O<VI8?Uts_g8cO+|jM_Qba?du(x
z{zAroicFPGtZCed==PoX+oKapf;-`z+=++9o#;QX6LlwcV)epKbpN*#Cl7Wa>S8Bu
zKkP)>Cz(^unbbPY+-m7eq^mP0`Z(hr?aYd7XKI<8v5au$-VA4Yt#oGo4rhLxa3=hQ
zGs|B%^Zkc2K2<t1sZnQcICQ3I_s*mSc4k3BXKogBrdGes_>S$2d2VM`uI<d_J)QY|
zrZdg&bjIsVXVU+4W`LCoGn%-t*3pH1JzeBA(uEsIE<7x9;dy@-UX63%<vbUju5;nu
zUKg&Mb>YMv7k0dHVc8!SCRn**XyQt&qbpr|x>7gTm3N7*94mBXc0X4N#=7D@*OhW>
zT{*SemGP%t3BBct)hky{{B&hdl`gn8>cX?OU6|(Hg<k$$cplq@ak*XSpmgEC5nafi
z(S>p=x-e^77up}|!k#N#@PE>Ui=Vp?Ti%UZwcSW);l_1mHzInwaWdSEo@s8ZSG!>|
z$c+&b+;}(Nji~i*Y}@Nb-Lr0JZp*w^ZZ!SnhPp~u_BZTG)wW%U>e`jrzFoN!-IXTU
zU5PhzW$MtboSxE^QcJqhaZ^{44|ZkL`L6tXuPayIcIEq@uGF`3r?ZVaLG9d0@8*ud
z-<@Hx@^ce8?#wm1vt*b%E2g@$a)~?3H@UOupgXh9yEFctJA>Z3qx$1cLbYyqH|~am
zLpQA4yYa@i8>gbXu{5h2CHiiJ{?iTH$=!Inup2u!bYt+oZup$-My1=`IR3I5|NQ7i
zk4oM7Sg$+F?7P#~r8{N4y0bRCJCUi~`Bp4{Kij`MUB`Ck^6c&ut?Ev>9o?CJtUIl)
zbZ7G;xeWcWJ4Z_Qz^_IRPB!U*Z~Gn`>ehp9{yo?b(*wKg9!%EvpwvG-$eYxI^9y?5
zvc3n?_VnP>sUC#f=)v-5J^1xSo|o^*{8~MEW!n?i4n67DvnK}vdr~I8Cmy*yu^4-@
zX=qQLPwq+MMLh}J&=X~EPZpo<$;lf%dGo9%)xY+{u{`+Kf^=I@oM223m=gdiV_{P^
z?9#*jA#iXa9GDM#*230Za#%Y73$DV%$1va{<dyayyt)TnY&>Y_;K2_!53cs{U}K~Q
zBhoxbP<i0k--F+yJvcGbgGtLhh}q&nqeC9tI_JTxJ03*6l7A%s;laTQz0lX`MN7M0
zT<Fk?lAgV=3+%=5*k0si_o9-%7fT2CqUVHOT%OyD+||AKvAq`~j`pI~rC!Xr-;3sN
zWzH|rQQ4D4^*pg@>B-bio>cbmq$J3bS8<-i=6G^Q?@8Mso{XR1$@{sUgs%2v&2~@z
zchr-_i=J$}=Si72vj3+ib1L@cah={c*!8BkLvJ?p=*=7d-n5D7O<HDeW@vhIYCvy(
zj*)${dK0<4Hzk{Uv+zJ~4xjDKqno`c{k%7gzx1YaSug1WFXC;y$ZzX~sf!nby}TF|
z=Ee9VFDB*-CNIVf^<u;%F9yu_Lbt|?tQ}rN9reQVq8IJ%c~R@N7vH{napQm9?5O3<
zv}WF@+I!>U?oDGKZ{9?BvnR!yQH9<_n!RZ>+?#uoy;-!to7A=5G}-CRwWHpQzvzwE
zJ#W6e@@DCGZ^HlAhhNrxSlqM^zU}((!mSS@z58Gv-iQ53eTd2L!)s$72K>{9>J$4g
zXReH`>chINeQ-Y1hpqqh!Sz-jHa+Wu<L5psEA2xgD<8%+^x==a4+YLXT*U_heOMaf
zL&Z!Va@9T@>*quBQ9f9v`EY)b4=vaGVA$ou;bT73xa33ZJs%dl^5M}pAMDHfl3CN2
zg*Lw2Y~zcyt1mvDz9_-Itc>&JN|rCBw7#?+;7ibGUsTh5nXuTGb?bdOvCEeS$9(yA
z(U&Usd};j3m$u)0aV_TuHT>w)*bo2Kegt;*Bf!HC-#|Y+WBhQ>@WV;vC!f*%s5!!q
zKa>4<KHrb?tNqxv&5v1!{ILAzN9;{MT%P)2_0f;VfBe`{*`LvM{fTStPb)`%-got9
zhqpid!~E%$=uhcffA;D8F%R^|d5k~Lr~5N^u|L7<{rSDqpOr`biMZg;kK6vtf9{Xx
zXMY})3SeN>02<W~V6$BS{!RhhaSx!lPXK?y0vMGTK<(TBX6piIHZXw2qXV#;9>Bsy
z0W@A0z|<W9R5=pBfO7%7yBR?8(*RC?2*CAE0P`vZQnpSYS<M1D>JUhaE`bd64CH!H
zARS@@`6nZgE5(7dv;?9V7Ra87fs~&cNWh9f#%&7ZzrBH2oeaePvdp~~$gY=xy!#S}
zU6~*vss%Bqeh_Qyg1GD$#ILSFH1iI^Gc<_Q_#pac1u;_{#Kw{!jtviz^DsfYnj6H=
z6+u+k97N51K{PlSM3c)w*xn1G`Ad=i5=7(D!PKo9OtpH!lxZH!=XSw7?h?#J&tUcj
z1+zRRm~rXBXo`Y~RD$XJPcSvd2g`YhV2&&aX7>7EigyOn>qsy)&INP(MldTL2cvoy
zjO))}ev}Vkca0D%jY4p<58-2n5LR~!A+=8kb;3e88Xtl_D}?6i5Kdb{&<zWr;lvR3
z&JH1YSqOhNgfM$o2rfrMICCz9^qV1keH_AwcOlgK8N!nCp*YqEWoyGwy0;8vzf&l^
z+~v_LlpZ0WY>y44Lq;geib83qgfe<aC_l!Al074o3yVT=UmMDTZK0Gq7)sXZP>x&)
zrTP6(`n?S0%I8qpl?r2E<uESP4x@R~FjQ^A*yS8Xxt?JJ_=YhdT*eZ@u+9!6R2{|`
zOBhFnhVg5B7#(MYk+CF<sq4Zxv^|Ws2g7J^CX8NJ!^plL#;BKJto|Iv$-iMdtrSj~
z+Tk>85>AKK;dpflr*HRgvigLh4GpJ%TsXrs!WmZ-&SX<K(*_G;!kIEHoCyoU8MP{$
z!JEV7d|Ehp$HR%g5RU(?aJoDRr}?{ZD*p)QUD*gORf}M2y$Gh+Mxb+uAk-y-HbhX$
zFM`YA5v)jvK*@^0R~11Wa|CyXM6i5p1clQh=(sR~kE<fsv^fIx-U!+qkKpn72<F_3
zAnb7j<=#fH<y!<9Wg@9rHIiL*B1vx=Nu@TCtnCyj|4tdnTklB5hD6dPHj+bWk;E0q
zK7AyE2Sie9WF(6wMdCCklATK<>AgOZliNk^U?dk#MG}5Fl5=+=349jG(f5(`{29sS
za#6Iliegs1C@R}VVQL%2Bj+fBdqlCdPZW(qqZkky#l5sBD2QT?K1x3CMG-n8iscid
z_%$nvkR?$pSR2LLtx<H}AI0z!QJlLFMZH^5Bs`8{{u`118b#C6eMzX?m+7_o@?Yb=
zl(+9oSEs(@yY*#uufCk{@5|?izBEnji%(Wx3XA*7>rr1e4eHCqQGIzoxi8h`_NCRb
zzOcS8QQP~Hd!R3tlYJR|u`e@k^=0YfzN~-Kmu+ABvZquu2P#E#$XaM5&s#*Zr+qZr
zT%%b}G)sM><+DsQqvN8nq(_rm5KWXm8u~}mYIrnO6QcPzBbqA<MP^kr(>6t;-5pKv
z5g9)l&7UjLT)Z32vS-m4-$&EuM>Ms{#&D-f49jcBP-GK>vwaL-9AntlB?f~>44wUA
zco!DKs<;@^(qpJ!5W{I*4E_7X;5aOXTjOFFF+GM(3u3sjB8Gt*V`#B6hGPd~$T<~5
zg-bCkxfKJCW4QJ@hT<<Vl=~aQ^a`=Gt`W<&`muQ1#&W(*Eb*OUdFUQXZtqxL2gFhw
z8Oz&*SPC;^d0rSxh9Q>Q{bPw79?OaGv2>pi%i0C8G?q7FBR9tKc}J|gH;(1l$ynN7
zjAi1@SUx_CCE`^q8$ZQj^;>k8kK<sqI2zQAqo_$72khgpc8VjdOB@@B<CjkyeL~|H
z7Zb;&6q%PBM}j(zxk?<j2FdoQI3g#-F?LoQM;68Lb5$Hpo8m~_701LwaqK%4$E%BR
z(o1o8Jc=XxRUBhJiSA!<TqqZhd_RR6b>eAf6HlL(@g%p8$KVpr=pOOR^NweIP(1sh
z;yIHT&-KiB9u~&)QZI7-;`ur>UXEq){G2L}bL088G@egu<9V|so+o?axqT#_3uodv
zayg!@x8tR^;+gz9o&lfZ$^9KqSos9pswH4kCxKEn3EXdy!2Wg#%<G(hxqAYUUJ0}d
zOrUIJ0@vabSe>3gNqz!>+5{R}5_mE=feoV)P$nhdF)M-cixN1#GJ#PW6Y$@WK*a+I
z96p{Pua#owS^{tHCa~mb0x@qBsQfj7oqrO@{a+$=tr9s<Cy_jxM66pTvb|j*37r#>
zf45^n??ebl<W_hhrZ^c-OJr4UBE8g!Trnk*J1~(S!xI@bK9Ty<6In7Z5vOIMW39+-
zN#w}xMEnjXa_Uqf0T&bHeS9K54-z@}Jdy726WRPNk+!9hm|r0Y>*`4ishh+{n<P?O
zCUK@+5^kN7SlBIzioKI4@=xMISQ4FMlbD*4#HZ{e!itkvYe=F(|0I%!Cb4x)5>=)o
zku*Dr4U3W}wJM3=jY-Vjo+RfAlW;nggz;<=doCwY`gRgtkCGVrGKnJ}k|_Hl2}&np
zu9(cG>dCyQn@qDN$wanHW>~vqwmB#B#66kXp2>LlC6gDL%;e}~b|xirH#3>Cg~_zk
zCDX@}Oy=NZ29Hc;-h^bfPfzCjykwp&P3HHSWNL0s#%@<Koew6{`$RIK=aNadnoQQ6
zWQrdrV|bN}<zq4fek3!fbP9tjrZA{_3jOP*V75s?*CK^NhZHh8r4ZLOg<y{qJbY5<
z7@R`0s1&RcQuvXU!sFZ&&Z<(_VoYIn{}cucO(AVe3cV+%U^gp;(hF0#Enl|TzAlA{
zTT;l~odSnasC_bpr{_}GaW#dJcT$LcoI;CNDZKq4`@V}WrBd;&kV-YHRL<8<Wpblb
zBAcgDtBq_sr83qv6`vldl=4btn|~^WVX4^0q;e@Km7$rbxD=%FP?O38C6#UiQ+Yg0
zWX7h_c}gnRXQk3_VJb~mq_TfqD#=??`MoQZnFnS3L@H<gOC|G4DnD<D{KHi2UZk?+
zT`JyRMgQ+qQp=_Bx^f!EnrW1(pT_VeX;f>O#zcoSYIjOws#_X$NMo{h8Z`pb7#*HQ
z`Pel2C8zNzGfj@+Y24PN5u&8Ae?S^e!_t^LCXLFI)6maM<L>-4e3qrLZcQ4sHi?}b
zX<XlzhWpVpW}Z&t>xDETuFLq{G%7wxBjr^Z+diaG^}9U(o5sK8(<xguop9@P7SvDY
zb(3`5TBbADA)S*Q)2Zo}PT!vC%<@X-mVY`nVd*4Br!zY-oongo)XGaINR`e|Lpr-l
z()lnr9s7~##EwsA)YNo#&Q9m~!gT7cNXK(sIt824nYvTv?oa2z(R3=DNvG|_bONu-
z*xhtSKTc=m%XE&sPnXx&biV%<AIfFWx^f0RYGe>rH-q%X8R(j4@K5UuCOKv>zjFqw
z-81C+R|b3gWN;)fgHz!doQuieVp0Z|GlaYhE~zrOV94NXNd_kdXK-jl2D`>(@b8oi
zme0yy_JRz?Ez4lQnhc8n%^+!e1_66B=yEuN<|i|#axR09movD2Q|#Q&V9`_Y;dKU?
zA2aa&o`K!p3`&*H<W}WOw${jGeBDg48)wp^c_!AaGkMZJlkLu#jO?08ESa?O&g7GS
zCi_D(8PzwFh=fcUrDbwIJCkLFndE6RX{TiJx_>5X|H&kOR3@z_Wb$ZgCi7-z61^~!
z>dP}ZvL+MrznM60&*a{oOnIHjq}Pc|-kr^4?xjrpZit<`^89fo-Y+wG^-kt|$;9PX
zCf7=5p;XACLA5NlTW8U?eik2WvKVWZMXNSh>~oZTowIn=HH$%HQQJF<W&T-o3C-eY
zR2Gr(S=>*_qA)9qulZRFRA*7qn8mn~ENTtTV*2nb8jj6k_M|Kt&B$Wb+$`!Z&XVgr
zSyW$_#mG%rl-VIZ?9Jlsp)4{^WO4Ou7Jiqq*m*sRws*6b@hFS(FS1a-&EnRlEWCeY
zvG%X{Qa&4V<!tU$&!$(MY!)}nrd+dZ(pzS8plvoyI>@+7HkaJ9Y44HEQ15K%;cPmE
zW-}}*o9l7eIHY7#l9|n^ylfh%vdPkC^RGFZUjwr79-7VAQ6fJ+n}$=fNt%_-!ui=e
zT#`+TRbpqoY;P9(J7j!cHc^MO8FwO^qi3`EeK8y7>)GVo$!7M$Y|cE(=FjVF96x50
z_$`}Jzq8p|CWreKa;Q=*htAeH#MjGVP~#ky+2(N4K8M#1Iaqbf!O=B`pl&(jd*m>}
zJBP*oIqV6^;Ywr<Z(?&OpPWOZj2xVDbMP$6AyS(|rYQ$~za0J<oWsQ7IdaU%Va3E8
z{+*V?uGu*pT#&=@r8%5gmBab<Ib7N-`gY`Sb+0@glI`QN|BQ@Zka<^S{;eE#-p^s<
zlN^@6%wf*E9436uVaSghbboWmD3?n_rCfSh<>FW?mxlFoDQ}a@8{1s2*ypmxA(zD+
zav9;0OM!c?TtmvGgIBJcCdlP&P%dY}b6FLg%dmu8Qd4v3mX%Ab{9IlX=dxdy%Ty(o
z-2S<AACimJh+OWD$z|QdTuP?p;x{{&Ity~Sw?uTT%tgCS<TvF~W_vEjcIPtsKrX>Y
z#n!1@&i|Lo#7nt^UKc%gayj)tY(CA!<5jL)-^pd;=Uj4r<kIACE*Hz@F}z|P@`Gi(
zs+q@}x_JaN%Hw;}JeIY{BfL!>zuV`ryi*>bUGn(WEsyygd3by0@xm{UvB7ybMdWcV
zIuBJs9@SIxSeu!Le_kF>it-qw&7+YikIf}{1P;pM;m|xxqw=UaUi3`PqvMP`4$cuf
z3-h?YG>_s{dHh<J$B0dN)Y_iM+}(NDAIM|fkvzHnlgF;Jd2mr=uIAx&D~}`h#Fxi;
z9DbgM=bJqCeaNHR*F3iV%%el8d{&mr$F@>FGpgldWt}hYb@KVzFrU1p`P{P0C#ZEk
zd)npW&{5{N<WtT)pW>eRT=&e!(<h%*0r}Jn&Bqui^JDVyNX%z(YCh$&^2y4}=V(zr
zEw!T8n9n^+KHUfAGyR`@-jB$~e{4RBCg$^fYCa*e^5uP6KHnDQ6R<oV`OQ_{tk0+C
z=6uF(&*$dud|DsKM|UKjeJAp%bT*&x3;E2tlF$7c`Lw#5Pr<`{HayMe<I8-xcO)Of
zr+l`4%jfg2e4I-cpekR$no0#ctyX}obpdg83z*cffD=s$_}jdI&aDc_aVTK6Qvqk3
z3;5He0LShHBzhDu+N*%=z6CrAERgGw1$2!nAT72)&J7i?F|~lJnFajHEudLZ0lhT^
zWEu(>W-ee^{{oH-F5uy?0!oc8pz-(u+$I+gF};Ao*)nH-0rM6Yuw{7xr&bqmZ+!uu
zHWkP<#{wGcE}-rH0^AQ5;CH-$=+gycoRc^%6=1nmz|dO-jJsFBv_}QZeOADdR|Twk
zSHSvD1#J3Oz}8>lbE!ghloKizvb}1dye1X0sdgdj>ld=BaUn~Z6*9L)AyZoyGPYeI
z|8ywC+_{iqw?fjp7t+_G5MQrCy80H<Ca{qDp@sY}vXGC_h1`uV<YaOoTha@epIyj^
z{6bX4g+yx$>0vCSxkcs<DCGIzLQV}UWX-5T#*8bZU{WCg(?s7a8J}0kgN23cSz5^S
zl_I}Z>}@Qh>6Su1Zx^}Ug)G=#i0*J9KF14baJrBe{}r<HVj&~1imjW4w76Ty`v;=q
ziTLoMknlH!H2P4;!_N}qchUK~5SP+L{3ut%-ik#Gs#+x1(uycoyNJW}iWt(Uh+a*L
z_|v?IUG_y7+ZNHuv4~e4i&*MXL}J$>YWFDOq(>10y^3)0E#i4V5pzO{2#zS?Z{H%;
z#}$#3R7ABj(UDn1POiul7O_uNM6Rv~Ym@A^6p=olh{{8X*f6Y!s8L0HA1it$7Qxga
z?$0P<@SGx=FDT-`;v$ll7x8OV5i{3`&3}tHx21@@9YvJgQ^f53;^W~WP8^eYr;7M=
zwuliIifDADh_%;6-))(HuZWaKMZA4lB<HTg?%N`!e<;H4OA+h77vc6>?360TuUs+b
zDijl4rI_1R#iUsm^Q2C(-1}3^tH#9?H7n+=T`|S2ih0wvm;%RQUUV!b+ohO?Zp9>Z
zFXkG>g!L}wWS?R@{fpTVRE$$tF-szgX%JJ)*!W^fB^RSf6Pe6nB65p4R8UMORWS>+
z#d58;7{y%7<9@}24k~8nKgHOMC}#BNVm^*5CT>zO`==Jua%M3j=M?jLzRX)(%)iTu
zskN$Dep0EJiyK7W=3*vnlkuGr*WO~59uT`nME-a&n@$x|<-cOmFNprj#niZ7EZ23#
z*Sli>VKFIBMBnpb%Dyfp@}2npQEY!Hrq_>R#{DklW+@e|%Bj#)P_etRit<(}f@`Xn
zR$ImGdMfN1smN`jVx6su4=q%<v{qqsP_e^N#gC3E++9>CZYs8SQ}Lyz3TICh#oj7b
z`>J>nprTobir8=!lcH3dj8RcKK}DBj6$NQ37G|oroTH**f#@lgeHs;W^(xMoRQ$52
za2O!6gH;S0s^Z@fD(;L{QE9x`n4}_Ms*0gARIHt?;?g|vWue$ws=|AP_`6!gm~|@F
zZ&Y!9v-rJDh4n5Ko%X5-J0SiYmhodMR-ROG<cx}Y=T!W>sG`nQ6^=Jl^tr7f>7EMx
zLlvW+s95k^#g<npPP|od>w}6npH-CluA=5I6}Ep>bS$IBqr95nifZDksL8QXqpPWA
zKy5W6>#3RCP|X}0wH%k!a$Z}_CVMqI+NjyvPR$`FHOD%sIq9P2jGLPOx~VzWQ|Kjl
z$+nN|_g8Z&NX_w3HHRbA?CYy$XRMmd32N3Rt67$&W?rV6sX1!K<f|E6q{gULldn^g
zY*Z6&R^!!Ajq5-)t%j)Oy1JSQBh`Evt>)1<HRmUaFH_X4nl3tKsTnv|P2K`E5sTGy
zU#6zTN;Os1sQIu?&9#kc_H0(OaGRQ;J0;dVYW(-BX?I9XwWDfY9~Xa5Nt|cZa;;Xz
zFRAgqs>b$)n%}oX{;ryTABdli)nq<X)8nO@+Hcgne5dBXM>W&Fh~MAU@Jo&LUp0?Q
zYuHv!!-xtRVk>KCQ%%FS>Kcw&YnWO`Lt1?ePK`ADw9#<1nTCmW8shCWv}mJ|_n8{D
zIBF>AsG)af4VAiRINMdj<n9_dtEi!&r-s{J8s__GNb%QT8>HcWh=zsXvK^(NNsNYD
zaT;bOYKThFP%~Y_=}Zm7ax{44YxrKMVWUbzu2w@cgGSENXym-OhF<+Od>*J_<q!=C
z!!%SMso}tA4VrNp>?UfsI9bEsX&O4t)NpsU$jsBwb)kmGi^czC8oIC4$i1Z+CajbF
z8^xzh8b)r_&|!zz*d_7o6<-fXyoWU89o10ngoX{LG=!hk@bR36DHk<#zM|pMH4WOE
z;`bd5>+fj@e5m2sV-5d2)6n##hMli9a!imseUO+wOT6DCUq58tZw(LrYA}`2Qmwp}
zg%z~8RMv95s+RcbT3*-G(!aKr>h-kDZ=l7ov6ekev;^2{xo)Q=%U;We)-uOIOC?7w
zQ#xpA;;d!4i<S;<TKN|jEgn6z979Wxr&jJ6(GugM<+h(z?xWE1C|FB&n3m@eTJrm9
zc@?9jAYL95WjjU7i!?1cnOYuaYe~z~a;HE`T(OqRYAqo;Ehh|GJQc0HHfeG0uVvLh
zEw)3nOdl%ojL<T8l$Nh!MAvwcov0;jik3suB*vLqmd(~ucb=AE3$%P*q$OjimJ7?p
z-&I=HuF=w9y_TUHwY=LTx!9`Z$aaZ;m+0Q3<?lZ6`=FMyheg*hEwfK(DRo*)=2`LS
zoL0`wYMF3Z%g3u)qHbu}dP_^ayIPF*wOoCu#r27nsn2Bmg_h9QV(+cw?}NyH(z5@H
zmPX&T=znVY@3)rLrF0A|qvKjR9ZnT=46CH$RuvtctaJ>oq2s2t?60F^a6KKD8|Y}&
zSclR?$H`_o8rkW{Z>eKvD;<^E>WFTqW2vK#4;^&itYfr`j;mdCG<Vlg*j>lAo;phP
z(&5)z$3$-(*L`#}^Vg9bsAFxgj*p=_+#+=Ji_&o*T1UA!9X<&<MkeVvm7=3+x{jbs
z9b>a~oXM5#0-fB?B;zU_$22luufxNrqeKx~7V)E>j&=ieWDV9a{~w8Qn2s7Fb@-0f
zF<`8Yt>bmPnkfEF5#OhYzcX~~n<a8{bhMl=`xc7s#S-6A9WR$lysO0C8Xe|!I#zCw
z*#6Z~ev9O4n~vliBEL)Q?$PmJpN?t=b#h)rN6Jyraa_m7lM?S~iT^*z;dzPUq7Ln4
z9W$=#*mGUS{hOlej*iy%#Kr^3*CQR{pXk`|Ovm{bI^Mt1QS+^i4)1k@e3bFeV(+Vt
z72kCn`6=?hb^QLTqkb7Z&gJw3{ZCJJMZH{$(=)TGo{d&|PSntI&sxvd+IqQusmHE?
z9=Ap^*G5ljQ$2cHJtOS&%x<Y?Z7V(d+UPmwpyz&jz1)AMr*tPhH9G5Q>Z+%`o1Sj&
zdVIU<iRvlx9(oEr^_aZ$4C$k1tgoKw{(2S!>RA~q_CxjT2-mYeQjh$%1!rRPT#VCm
zEkV!iB(agA=W&{zXBm24X6bpIqvvg&*e%fWp-9h1m7o!HvTcz4CK)%&yb?Vx`s;Z*
zP|w4`dhY(C=f*HSmq+ONZ<NG5M$f@<dUj3FvuTo^)l>8=o~CEk3_TNP=@~vpPrrG3
zGz%nOi}b`V(G#*vkLL<KF01skTBE1IIz5#)==r%(eA}ew<`zAtw&~fqLt>MgSEldL
zGjyNmIG`u_ke+}edb%9b)BJ?w`IO}Qw8VE-WX|c?d_gbgoMiqL$=5YKkvAldxAfTF
z(Np1`o>%wvoPVfi%VVkAQ}OM&o|Kn*dcW4w@~zByFFE=kaeWfoU-XRprYHA@)Zv%-
z`bSUsQU)HDHn6{}fw|=ka_-7NR3!r)su<)vih(CqGFHRDENcVW+6Dsa8fa19z^?`d
zE;cf-%ErK;rUs&I4Yap2P^P7UtM&#~w>B`Kt$~Pk2J9UTe0MT%s-xI&Hc;eZfG!5A
zcQtU=-N5?p2Kx6j5aeN?k*9&@y$x*jHZa7;K&YRA#sLPN1sd2CEb~GQ_=X#>jx=y9
z%D~cS(HCpLHQvCV1OrEs42($;yJ-d*WQhJu152_E<mQTh`3C6^16zs=m{bP3X$<_<
z8rY{dFwkhAmm>aK3>+*mFu1>L4>V9}uz|fp43rEt;6B{I*AWIbk20VdW1!tQ@oT(+
z#S;xAO*T+}s(}mB402pB;5AEh&lX#A4HV9ooGmnPbCH2bOT_<W;_GsWXQhFh)dp<V
z8aThsz|ai_-2OF4&q$uO7zo*Bp!5y{|L!!9zS}^py#@~LlR6wQ(EO0d9F`m(mAH<J
z?h^(^oHF2Y#vr|8VC*>qT`w4TbkV^0%kuoH)cKn1zahE0C3(4RVEA1FPWPo=4<xUT
z477YAHF|15{oFvkmj-sfGLZVlK>2qDR=$_|d^GUxlYz-!#LhR7`!4<R(?G-D26p{1
z5MRp3&(cO_mo?&E-pKX;88KEgQm3+!O;wD9Rx|S2%E+i1M(nMP9IRy|v5t{%b&X7}
zZ=`)gBgYyUNwG2Vy@`=Y&5X2dF7xb+#I-c?-rmTF)<&ANHL}^kh<|${cO8xBIvA<g
z$;cdMBOP3f9C9_%*UiZDu0|}~j8yAkWL{4rP98?~_YyyP8@cCYMAgU0Umqjm{EX6L
zMpgwHaSJwbB*aK~nCK2Sk{@a0Ym||}(V{2T$c#86%@d5QNi^b`Y-C@G5#KZ;=hBVD
zWQyJ_BiT7d-sBq5=Sw~cj0`F=@;{Z4(P|?#v__`rjMO)XzeXcX6(ftxMp~8_S>De`
zn*rj-KqC%=#l{dL?S{(ZFnJtdWc5hN$7mxf#~5if&dAd7MtNUnWWgjOHdBnuoGQ7V
zZe-#NBUNV^89v)cnYl(v<{9}iU*cUTIay>RZHbW^OC`qTMoz9U(rcBG?W-j}YenZe
zBaJqQj*a5;CduDsBk#5t$=GJ(+IAy>J0<2_Mmp`0xqFS&+izs#0V6*SO0EtYxphS5
z95b@}xcGchdf}9j%4duyXN^4l&q&mHsm}$e(<LKwFU#0fBZg~69$Yud{m({r+%nSQ
zj*;<qr3daANq=DE%tOibV<YpQNS&Wa9M8p<7e;txWZ7$}%UdJbchYa~W#305OFkK?
z^u<WgS0fj`iR=#}vwj-+{Y!f5kJ$e!`7Ui@co`GV%bM^nZ({ZTOjNCCqM(wA)0IuM
zt7>9&H4`taOma`0iRCp-l&@tXy|#({bxhdQGhwc8;z|P(of?@K*I0DfnDA<9Vtz9d
z-)&7q*qK<{!bAmo6Dh4s>}YMmx~+*k2NMU|nP})}LhWSYcn1?rJDJcsn>f|kgsrOy
zLl=4OW}=z930*gt)7?blo+ddnAhI4N>Uf&S?kzgKOjPM(BEd&&`I`9SXCfp(d<Znj
zd0-QSh;N}LZih)s5#n>C=!!B?H(FweF|i@m#P2wXF~P*tL=*RuWL}C1W2)FmGf^$W
zM0BQ!g;^$EW}E1oYocGCiKF=@tO`x^Eiy5$*u-O%$Z1Sywc?Y`#9zG$Z=>YUWa6A6
z{#s1LmB`$FCLZ)RVL#AB?jRFu28*9VOmrM7vcpVl8E%qetO>VKCX~@8c8)R0HFy*5
z<Hh$0qI;r=Z<9=PnIbuwYGU&=6Cb9V=rGen;VcuYW}A3A$AsNH6Up;Uat+GF)rFGx
z#U_H5m>98C;#y|n*K!lCD<z++OsrTfaj%hjtTPe5-o&U4GH0XI@L$opS@OI^{N8Hf
z(l!&7cbM?lDYe=qwsxDiyT?SWeI|VNo3I=(vHqaMcSzzrV#4>R_<T%aJZ|F736q>J
zH__{~3C$T3i_e<4_@9Zg=S?_YkXl?cG3k<t1D8#_yJDirHIrP!6ZsqB-%S&jZ<#1_
z$Ar^e6Y=+?cki3n^g!%C6rUcOaCss<_Eda-COLU7_FkB%_)7BnTJrwJ#E`er<L|`g
zdlNrDNPa#^-+z|=`(k3oR}=fbNe#bCFZ~pmUsBiK63-tK3;vooQc98UuPIb3tI)BW
zLS%Ub<Np+9RZ!SdQQ>YSh0;|N?5ZkwS5wHcQW#!cVMPsv<24nYSu0emt<buTf=^u;
zuct7yzQU3Q3I`i1+-s!pr?En#CJJs%6{4CcXlxb6HCI?=r*O1|!h@CyzwH(3w^nd&
zqY%_qA=^P=P&<X$?G-jVDx7gr<ok6Be>*DFb5?NbEcRR!l3f*9PYPq*#Aa88UG56!
zyD2>FE;@TCSfkL&L!o;wg)mQr%-#x$m(2H8SlCB&`zRdqRk-1&@Y-MW2Po7Gl6Zp^
zTtXDNe?=iWOd%&+<RTPCMk>sVQdrqnVSBX5#wc8gRd^hy@G)L;m8eiXNx>#rp>2vn
zmsAC>G_jqokeH#6o2ke>dlFl=!k8R|>A4Dv@)XwQD{L!JI8dl?sz~8-vBDjd#GzJr
zr&0K>72SG;N(S-IsL;Tq&`goo%nFVc@wG&uTR%n46G&bLNDc=ogbxzm2P-5DQAqtq
zVjn8@hba^eS5S{o(2bN@k5Vv?R_HfIk<UTm*EoeC<E4fZ6oyTdT2E3KF<IiCB1{#g
z3Dboc!b};PC39xW+&LmMS7hgjj`^Z%f#_T)x)+I!#bRrT*jy^Mmx&L{#g`T0(@ODe
zmH4<?d|e|xuNB|dNet^HmJJfqMyd0^(p#GpY&R=3+@erxt3s7+3T3w|{1iU!P<XLZ
z;r=d#Yr7Tx+oNz~uk^t_g^l|amLE`<dr)E0A@TFDLdg;F<EYp_rVx8vY@QH%ClxxM
zl3bn^8)sxKoK@trnZgI*(K)H_dFk~F3Og=J&t8(Ayezf5BD$_B6kL-St}6uIkRH3K
z;BZTH+?G1sQTQf2xvOyLo~(uY3L73M%zLOX`jLX^vH0*r;(n^o^O^L@bA`Gu6w16*
zcq3eYrEvJQBKNb&T70YU&pU;p_X;r|6g)qQolgq2KTD4bPrgXpU!{M(Da`*aasE&!
z{waC=CAxnrwEUw`^{?bgxL(T4zS3rvmN7HBtQmDVGkwdO>GnS}%_^8FU(w8S;Y=kn
z8!MZcTE#5i{W8n<8O&g1rg?RlQ^U+N;bcuSYpl(Tt7S%2+e}y;Go9+1sa4O+C*g8^
zGg}&nj)rFRjm$(fHsfMrrgjrEAB77|#YQtT<893pHa8PsXQoXHGZk8zc_bXLH#4u5
z8B1$3F>TCrZfmB7gPB*t@pfjGv^O)r(M+6^=<Oh59nEsS-OS-mBIj(z)Y(k9ix~%3
zGv&INxh-sU6MJ3FWV=f|-OSYMZsx6UtcS?-6hAQ&=wZgLmzf{JIZrdodYdWn5?$VA
zTK6&YTe#q3X1TBI_mjB&&9n?K^IbR-Xl7xM=m|FC8)BwWsF^pyfiN>u!p&qwm~o3V
zQ#r~kpK;8r>nkxtn+c6EV;gJcgK#L$%;b18=?P|>6U~%OGRwUgW)>w&y;970q?)Oo
zX6BBtCf$rVLu_T5shcHv6E<d>>7OI{%r#R#&&*?CW4@Vw1!nvT&D1F}b6;3fY{sZE
z<Eb`NO=ISouvja#(3$C?H&fbR=9DniXeP;Irj=smov_1fX0XMKe~B6Eer9e6i~5_%
z8(^m6Kr`QjeS^#l8*C<Mh}8QZnIkM1D)A39({8xLDQp`d`5S4L@06SQ-)ONVj2~kr
zVyx6<oSB=#{PB{931;jkN?!_VCYdRoEPXabdQ8|lRq8y=jQeymzl1$AB=(t7+gWBx
z&6d0igXc($bIp{QXXc<Vc)n~ekoXpw*)I%OWTxk0sjIMiiR5#s)M%NRFT&>KW;83z
zIIWbv6IQO07*<PvtTA&>n6p-TbDhMvUV23svq5UHQEK+DnZ1ItN&0rP^q8=6i^Q_k
zjLkMPSA~h&rA9lXH+PEPf?=1~*)3~JSh&Yb>|Qf9_nA2%4BBr-eyo^x!t#Ssk3&+&
z!)8tkLypMUQL!N`J!U5UxX7K5o)$_@N=;6gc_Pd{Eq!)I*6&%Vp-}jr^xQdFr^3kd
zX1ZSx9m1lEvQ{sdsd(AUE}`&>nWk6GoEL^%leKo;%u`{;4e6(wvQC86x8xXcTl(mZ
z#3B^ll{oLodJy{EH`D%s^t&+nq15V;)KZx7*o@B;GoOXUPh}lFGxJwi`&?ppA@*O&
z@k2;^CH?+dY9r*nk+|PVU4_DTW*WRV%l%KXE<TuP{83^SG@r!wXE{a)+An6Be3j>d
z=9|p<Zsw?<`eCNwPg!e1!7tJITk0ib|B>U!Uo+c<lu{NdmbS1#h$&;CR9Oqlh2U})
zJ_~coTj>2i3onET6)d<`v~WupT*)H$U|BdT=&D#~P}Ra-A-$UDv$C*O2(ND8i!iH(
zg`PDnJP?LiTWDKL<OFqX3$^Q5*e1l)weVY5P|t#AeG89-VGYDaLklN`f<_js8e3Q|
zgxXkmFHCA;!MUl0OM<SM=(4r2S%_?I;gc}M&O+xF7A^{!mKJK-OPoSTD+_OgF|Eay
zHWrQxS#2$pbFi>T@Mve@wqR~=p`N4Y6vCWDMi||}LaUAz4hhMfEc_IvJBuHkB_<))
zMfA8@m@l|@v2a;Xxml>()gtfRBoFQut_hlM7OHl)uuPzb>=V>IWgZq53*9|LRw(Rc
zk?;0fm@BySws1zs^pac&Q@kxW^s#VIi1o4XP8jZMp^2aPEcp9dxF;9_#8#lhCb$KO
z4k0br!dGEThy~kF3tNSNFbj7DZMcOB5f)|(PLUF;5FI5wAoS~Np+>a$D7eO0I3Xm&
zN^XRKaTcuOB~HOLLGmiZC0ckXlq6ZGmTY03;FMxvzYvyc;l7|wvrszS!bHI~!@@?P
zSEhyYLQ0l}w?hAHk<XES6dZCb>=b<SEL;&X@-2K21{O$<6v`Z-O_9VT^e(n=PDoUV
z|AJ91_0dQ#3yrlFRtTMS;*SuhmpTaP28l;dj560`k?+A<<hvmjmI@urVq5UCNWF!a
z66tH9pr7=*FtERcN&}=fg+>D<7ef0%;)@_JC>#?)hFG{NB>!XKsZcyrY9S05X5oLs
zEsPavkC6Ne%|}{TDRdYm>qO`=TIwPAjj`~b5H;4qO(Auh=n@LX%i0hO6QnnVffJ>F
zCRrFISWOncgt}8?O$tq>N>2#((=4nK+E17DAvn(ve}%3yE$kMUB|Rp1&9-n<@SP)T
zQV5(YIS@kUS-2oX%$Kz&L@kiI2+<2ApF->+3pa%L#p0_FzeFB|_@(kF#4nRaA%3~c
z6Jl40oDjWI^axR_M6VFBT6#hVStC6x1gw?*6MWWL<TpB`*6XE?LXQnnBcaPiSqDPL
ze=V#N95zY4g%+FTI3qOPVqu0*d#m(=P<5My5klGR(r?0dLAOKtPsrP8;jxgiOMDfg
zc1!*Rzdce9p~qgSkI-?Sh1Eif{jz3-x(B3xgo+0(3=)0_+Cvsz2^ojwSSmywv2a@O
zIx6`VIv=yJMrd(ddO)x~VPT|D>ZJ6q@J7fyC9*=qX~}`W84FtkhqD$I3ibYzJ`&2F
zlRg&S2<hh~uR_oTsi)B8qSz5^FIku-RK6^63m=56D^d#~_^QkmT(3!w2sYOxS3=nv
z(qqDNA>pRvLh!sLJ_xODTbL<Sxg*C5;jNH*SB}Gi_dUsz(E7g25h_2hU=dyki4Ucp
z1RhBr3e6siEuqvCIfe@NgwUr_W1+({si9EgxvU%Ejga_4@+fqBDZUB~UP(QLuR`W)
zu`l#`Bd;NX&09H^3*Uw8cXF&1dcPODg3Sk6FTz(L<D>MP(DRejRjB{j!au@0A>oT0
z<Aly%#TTLKHwz}=kr4Xb!Y;x7haA_0UqbdzStmk|U($y{t>2Pw;h7NrM`|zF|CN}9
zA3{c{63z;4rAt^OR4G$}PPi@fDO<vNp?<j%1_>{Oi1H=u7FztTgfYS=A)!JEhlO?(
zOPC`35;7{4a9VJ#T*54&bd?fvg#QHBswK=7%2g{NU$`K+S(PwPC|A9NJmH++TBC$H
zLYbN(E1VUatxK38{1(z`m2gaGSG$CX!WSXFPKlg*6#wd$FhY1Ggw`uzvrxZ&2_?ck
z!K*<DD}<^IODGmD2ri98xA0T=e?xZ}W>vKY0GLof=}_rLknWJ!q;#VoAT3?eafU{^
zyJKijx;w5QNO!j&Lw9rEAMcOh%-L(Nuhu>@JkTI{DA-N<6ro@U_o$pwJcyqv6m;e^
z1yYBCX}sf?G@)Q8Y0`#*0o<f?x=^r?Xz4>i3l8vIhEOn^2r7LW3RVy+V<>3LKV;1$
zw%n)EcU~t}X0LOI%vnOgFz!+|YbaR6=h?)Zy`;@9UtFbVj*!1!81lQNP*6K(C|FOz
zT%q7Mj*=~RC>X(A%H&Z4e4>8dP_UV=^VuuM$d=!I^DiX}$QN(<sbDBrL!3f#$6uuV
zJ{0uf0{IGug0V#KLy=H0kN4Cr>V3p6Cco?@MGy-7G(I>^mg1pcFjpy5A{0#E0cA_N
z2Jfg<Dir)dw9=uVA)AO_#(l7t<UfRht{fp_*-+4zv*aizuUw@-`A{&1JNPi>cdVh{
z5oIgdBQK~_DHMeBmg<$&4xjj`iuL)ds@h{U(W|Ki*78Ml_r-c*)(8cS*+}e~p`a<7
zh+Ru9vyoUo`W`kA^QTbIi1mC~+jUq=^g7mJB~gDCN0#%6nsr0LV%|};o_ppc<?HJu
z9#Qg_ke_4AIfWa9g3(+jZ$mNRJXsorf-sJfrm-5}e|*y<6trS1v75RlRuiR}wOPOm
ze)v@!xl5tu>V}JCZQ;5cA!W-@(4HN{X{G1*laEwsE%rR5SR41q6|%L}!yF=MJNLpS
zqPLd|7V?}@9YVo)u9KsqH916*-}E8tiP}jnnZpALch*;&B}11`(21SI>KY1uW)aUQ
z-Ypc2;sP1Fo0se+PLEJfmqk3KSWo-r3~77WD_e-xI~3GlHuuOM(y#o(H(_dlKX^^4
zKK9Oe()Ts1*uv-i%r&NSi|qYFK@av2Yk*iVmwV(Ls24dvf<bzlg*>Fd;84(yze(`B
zx?%wj$Uj8CaDezj?Tv6E$TKVy^ky$Hhs!-PxJi}~>V>UD9T^HLGJy-E8Ku`*$xDik
z4h4faM1nEm%v|n}eXQPP8&SrEf^v-J6iLVH4Hj{q+!O4d9eg%16jWd=XGk{5_p*?C
z<d`gHY~~}SrZ_7&OoFNUiJ4p{!!$L<A3P!7^ia@~?L?koW-^S!#Ge@oeq<V#Nj*!C
zvxxu5I$Qo&!wU+|5kqzmd9Jg9Asi(3JpIc!PV&`!_r)|Wk|I15G-Mt($*@3Ovy=$3
zEmUu;<T1Gxsb|*moP3KzK{qz?nnFuLK`*xQo}x?j4BPoY(Ph47J0B>z+}CX914UQ(
zn(cg`=pXu&t-PhspYp>-UXpL69I%$B<XRO9I<k_7WLxdLV;Oh(c8&9m`CKFAT6N5H
z&hhm+X943mMx6C#HpAJ^XB$F63Hq>=*W}wMCamN>-)#!{w~W*{*GREh%`=6Q#NDEn
z8NyyZQFyEKinTl<%Qkr+oU0_;E^kcW2w&`wXZo^*7v$XOIfzAEC;2Y#VLXS4v0IJO
zhs``A+aBvMkBfY@SG_Qdy?mg+KIc5kxlOA7=`SX5m}q}F@94p5?vZZ4xH5?&L_c8O
z(UUbqkp6Gy8<ROojDx<19<1UnsSkyMI*jE2k^WKdbYuzFNPO4~V<@|LO^zdSz${J?
z^QiNRo~+^yDUazhMzWW;<T`GyFo!e5J|SlGWF@yrcGA3O2-|tacc(%@Lnd*E$fw1P
zc7$`DxM%b^y;#XDlALu$F_29>AniGMV<fwINtW|w50f~^C-Po!ugv5apIsCi+A^0@
z#JCg+iqMe-oFmp{ai$APxJ0}w>WLmK=L+$!`ZKz-jLXEkCLVNSDVK<QU2N&f5-t+w
zhCZPSi#W%ZH{A>Enac@2yXAbKCDZwbkL0}V{9+=1@tVy4swqaZlgFgF;|ydV>$uI=
zcRh2_gQZ*`=6}|v9kV$~q<ivB6DF{iXQYd84l$6m+$7<B`=&GDoFwW4=NC<xz+Rq_
z?xFWHkhR<({v$D`1G72Id$K$>8yLnW?(p>!bwU@yIYH#7VnRbkvz-W%JhNB263%fx
zk?pxNm|<+>HVI$I2_2ZlA>NSjr9NOFtGP<7S7t5EnZPa{ko2|n=)ydX@QzGxT!R6u
z<Pu-Jm0OxJmhIf*>v!sf_Dtt5o|5vt^OkPR=Lm24_JbVLhh>~0%17rqb@`n&T;a=4
z<}r;J!3M4qD^gfcfF_J$6E}$yIV>ndGsdum+r*0!78IsA<JiU>5=0FP{D(6^3&ydP
z+r<6Mb!f^cHgcVqpN9qcXvi?ua+&DS!h&4XV=yZ@Pt@pPK{kG(FH1PiThhe{3o6l-
z+3e>rNxldRO45djZ0BF%ei;@Nq%p%;%OyUK85U%xHho#lQC^WMR#;G$4oqPucZeHX
z{AkD!R&th4WQ-FQRHZv}*v})ri5nIKv|u#rxkS`>VL@i9(}Owu#RC$>7k8R4j8&ZF
zBN-CdKb@J*ZtfB{VOWr#Ul_zPj`5P@iNuDMjAk7di1bxh@GX_-#8h^0i!Z+p3v%)k
zA?9;{ha~zYEcl*A{LXTY@q(m@?U!Z@<4;cVniNUg2Q3)MYR>SE)JemFGPGt4>p0Ix
z(j^NE%F&MTY~&)JNS9o$Xu}xRa+Y_bN)Z;6q6H&Z$w^+3ET#LTDMMJ!QJ(QlD)FZw
z16j-=9uhxwSdf?6^kNpfxJk4$VZnD)q66bu&pF<aGHqB;f@Tb18HagH!gTV-&xDx6
z9&Qsoz3Wnuc8p;)Cwaj)8T1|X2xAVrxyk3>s!ht%hEc5KIM4VhqnhStdNYfiTqjB<
z@uf7s@;i$;z<+%CU09HXO0;7%D>=p!5@Zew@=%MeOlBkJctg@G;!J(Qn9WYE5jksE
zkcJX8ra$x8&2=JY^ExGHOn>IFo9jf*?sZDgnEuRTH`j@r!|RlwG5wjxZmttKr`IV?
zL;5g_ZCvCnNphJj)TSGgSjS185<j;dqAKkf#R?8_k1z6s1(_&Ia|W}3z1$#jUVT9^
z>eGv<Y~U16iI>kDqY|wd$|Cl0gGl++9Yv^14<@sY6FeqPfv_Me6==!tEMO1U_(<}C
zdY;;JVH|&Qh`W4VC@k>5m<9p$>B(f)a*PLj`Mp}CG>z%Q3^s9^r^GGnUMNp<1~QlJ
zT;LUnia0l@LTi3!K0CO;OA-_n7b?)40nBC#XLw4SVrDQu(1borX9FjA$d`c`Nl6;u
zH^;$b)^LP-L@RFZ6r(QP7{?0sbAt~gE}<W&LMsL_hb^4uF)>S8j}p|UJLCC-1Ki{z
zNlKYRRHZe8naftr@Pt^U#ha4+LJ!8Xg1@-NTN0HKE6UM?5R+NOL2mJp#6N@uxv4~R
z`Z1k#9N{ie%BmIeQ;pUPVm6yN!F{5YQ`>w`E!s1b`E2DB4~SOY9H$`FY0W@pvYsQ{
zAyNe~AvYCiMi`S>$pNnOmV_167-eWccgC`mJzV5Du`9_10d@F|;e@l5lSB};vh##I
zRHP}rnZR=Pa*=1mtYW58n3}X<ATwCYA#U=HgjLN~N>Pu_j3At?oFsy%)vQk*D$<nR
zOkg>Cxxf=*R2NV3Q<-M;W;{#T#aSNmc@4QF4;5%k55};F?VKWlC^f~OoRp;jT^UI@
zTR6^LKJj%e&v=xk9-SD*TsCrqTf8OSkMckfYS5BCOk^3mIKzFS{G?9FPHF1Wk>8og
z8V+!U=X_aP9g?3)G@%EhS-=*K@h|U5P{+)s7`13kKPIz+J)GkqQGa$XWTPatX-j`5
zvz%R=<{qC&RM%NgF>2D1Fvhc(Z5-!c-Vv{!XF|TGD$VH0Xu{dVVQ%n>SoNK2<fkHy
z=*n>Bu#UgE!ZTw0q6WxGY3k6HeoSNu+c?H8UK6W<n39)r)TbkZn92%vaf-XVCtky_
zAUy@CL?gN|l$oqzALqDFq()*zCW=svX7perb6Lj$F7cSp8p{V+C`NUf(VgMUVikKi
z!+*RdZWHsJe3YXe?di`%7PE!JT;mzhn(7C#5>SI*>A?tQvzmRJ<sKi1*UWq%Kjo=U
z2L>>SC2Zvg*LhC#Up-5ajezPjr7J_2#&WiEl<Pd>^X8r%`HsR=rXjyEkV!0NGl#g$
zBO<pjo5(-`%2SVa^kp33tY<&xiQofqTdF_uP=?yHqBo<M!)o?&nmfE9W-Ff`$UzBe
z(3CC=W-^P}#NS*Xg7?I3?HPz16sI~(=*%D{v51Wv;5_$uN31s1B|8DtXiO&tGLeOB
zU_a;hkGI5Zt9QsoF{;vt-x$CI7O<YbILlq$@MSwQovak43JqvaA4W5qKiR<%uJDkL
z#A$EOWTzNaXh3`VFq+x?$qtTig@=43P6zKNJH@C%1KQJv(ah#gc5s9%Jme#BI(k3Z
zDMl3<(4IbwW;TDagCktwAs>nJoA;BQVpO34?FnNfGg!uE4se!#dBJC$)F^4mMRBUq
zfOdo!!E~0giT#}6HqVLL*}NwWISHu3FSMmM!<ohsHu4vzxy3W0bn!WW)a0NTm8nk~
zdNGWtEM^1$;}kb}O60EQ0;$MOQ7Tc7*7RfulL%)uJ2}in{^J#&cM}uRkb|OB<Y!vY
zm4S?74u7zfzd6foo)NjbJ|+cOC`4I)q$$7Amr=}MDI578C%MieJ`l5qIY~zHQHts`
zq#eB(#uOH^mfalXG7-EXdQYEaNk=XMDpQYEbZ0OVn9Cn*VLzw1&O_c2qnB%umK+qJ
zJU`Ktj)XCsDJ)<$J2=ESZu68+#OiI2d`ljRQ<=K7pbPyO%?y^Xo;@7p694g%s3EmL
z3NllG(p0AbZRo*Z#xsW%Z00Xca*YSPC3={1lr&_gFy;7>CUhXgFeVeuO183}lUyZ&
zS48cjHb_QB^57qn4JuNbrgWe;LzuuEma~z)9OWW+c*ZAU_H|Z~jvN%GEH!CJ8@e-)
zG0b2wYuU*m&T^ASyd!!){Xi<RP=HcYr5-KlOkYMYg>Y7~mHnLLDiORQYJdAD85zk#
zKt*cPln(S}2ospYayGJu!<^$L4|&6916-G+WFRMn`GM-xrv;q|V<;1t%~IB}lY^Y*
z8WFrC@<27pH>4#S1t~=pex?~6=*3{hGJ{2|W*hrC!Da69jE{UVNR5$-%;cju75RzA
zw52-(7{ye=`IF7;<0u!n&12pXZLs-Dax#*eqLia14QNFd`ZAnJ%w;(n*v&tj;TrdN
z&PQVW?hGI~-;$H>DNPmX(1f;hqaVYW$ZVFdhHd=CF)nb6hrA}r5b@`0Qj?jy6r&t9
zs84e`(u+ZiW-9Yp!3K75kW*aYE>C$+w4r7PNl8z33R03v{6r&K(}g|^Wjr%k#45J1
zk0YGp2KRYMq+y<2NJL69k((m?KsD;pjP~?k03(^qT$Ztp9UR~Um-v@Qye9H+>yVJ-
zWFR{QC{B55P>*J`qZ@r0$~dMI&I;DEgZ&)iJU58oIUk5NLJyLdG-M_ZMJPiRYSV~T
zbfPzd7{z4fu!PlYVK4u1nk(GlF>i=6(%d5vDfpHg6r=<ds7ZZ(r9Iv0$1uh-g9ZG-
z26l3Q<6Ph-_j$obqK{G|Bq1$X$V*Xvpel7}Olvw5Vlbnb!d#ZJhOO-5FlV^RU7qlk
zD5K?(1SBObnaR!fl%xVRs7n)C(}`XTU^wHM&U}`!hAr&jASbxM4es%jw?r9ZeG-tA
zv}7hX-&2wb)Sxa+XiX=2F@WKWXFBs)#u~P;hl8Bp0yntFQ{EC~to2DiQqq!{+<Z?-
zDo}&EG@&(}=*0krGoI<pXBlhQ!X6HCf(zW>9#45olyTN40ZB<qW^(gAC8<CS>e7VP
zbfOmn7|wX6GoNLwVGDaW$O$fRgL^#XEm6i>p9CZ!H5tiHK8jF^3RI^K4QWn0y3m^e
z3}Y-)n9V{~u$C?C<^V@I!)0y}!BgH4X@VXg4quU+bYvzM1qt|p%G9DBO=v|&y3>cj
zjAR1Sna2`VvVraF;}9n}&o%DwkQcls>O?UjK8Z=iw`3zPg(*pSs!^K;{7PFo(~JHL
zWek&<#R8VIhRy6^KSwytC2n$$C%onp(I)v^O(K$!mhZ?(0g6$EO4Ot-jcG{-x)H`8
zMlhaf%w;iuvYu`1<sip7$5sC20nd3yl*yhmh{rdiBm-H<MFEOZit<$DN9xg-7PO-?
zJ?YC}Mlg;k%p#nntYke~+0A|qbCUC1<u(yK;T0c<I>mhwm#;`h8ZwfNJQO0J3>B$P
zZGNFCt>{2kdefgFjA8=Qn8QMrvzm=;XD@$ql+#?~I(K-$Gv4rt&!;+nh|f2qARXV4
zgM1XG1ZAmAO@5{!ztV=^=uQ{|8O9hUF@t$5<`34gnVtNPLmcNUm$}J*JmLlKh&)Zt
z5}Sl1Ar%?OLM{qWlv0$ZDnC+>#<ZXvo#{zm1~Y<jOkoz`EM+C@*~)JAbC{Ey=PI{}
z;0dqzK-B5-Ph7qt8EME!Hu6x2fYOww3N@+2FEpVAZTXFE^rjz!8O|6cGL6}UvxGlb
z!$!8To4+{3F-~)VtK8y09`cOWd?3mU@g^4W`I=;;CIgwtL0$?`j8c@NGBv18eHzo8
zHgu#bz39szhB2B6Ol21HS<DJnvw^Mb;(r|ED5p5j6>f5u2R!8!?}<FqEF&iI_==>Y
zB0b-cojeqzC?zRNC93li^=QPew59`H=t&<2GL%t_X9_c!$0C-qiuG(^C;RxDBb?+M
zm$|_m?(>9~yd%;qJ<FHGB@szTNjfr-jocKV2qpM|id5rA>e7&Aw4yzo=|LC+7{W-#
zF_{_6Wg*L0$vQT(gS{N!Fef<6C9d-?5j^GvZ~4S$v-JvbNJwH*kd};OB^UWAOmWIk
zfvVJ^4)tk7Gg{J?j&z|1A^I_hp^RiK6Pe0P=CXh#tY8)E*u*w=v5y1%!!b^Aj!RtQ
z7I(SNW1jPx_e7dwzr-LG@km5sl9QVBWFjj$$xA_sP@K|~qY~AqMIGwXh-S2;Egk7X
z4?^@~5JMTsSSB)+napJYOIX1w*0G6g>|!4W_=jVh;vAQ_#x3r0pT|7sHSdWu*Zzq?
zEaH)f#3Uy*>B&S^a*~&V6rnh!DMux$QHwg%rxDF)Nn1M7g&u_H#~_9>lCex=Dl?hO
z0+z6XRjgwZ+t|fE4)71hIK??GagAHt<vx#j&THNiX`cNPgIL5P5s67oYSNR5tmGsw
z1t~&tN>h$XRHGJks81uB(UP`wqzgR=(T_n4Wh7&n$W&%Bmjx_g1*=%cCbqGQeH`E)
zj&X`}T;dwHxXXPW^PJbbC(?ZTCkC;IM<NoFoYbTz6IsbgUJ6o#;*_Qwm8eE7>QJ9X
zG@~VL=}2d~(UTB;8NgtMGJ?^JV<J<S&Mf8<&LWnwf|aacJ)79d4tBGT{T$>l$2iFu
z&U1;Y+~78MiQpkmc+M-{@_|U<o+XIJ7sMhi3HXY{BqJqhNKZyGlZ~9@AwPvEf*<Y%
zB`HHWDpG~&)S@<Z`GrO_r8%u=O9wj9l^*n_5B(X$5QZ~~u}okx)0oK|=ChC`Eay*F
zvyP2yVLQ9n%U}G>KOE%*r#Z((u5g`O+~FP%c+4|i@`m?(BFX}1C^3jh9O9FRZ%9fC
zQj?Bv`HrmQAUF9aNMVXmg3^?w0+p#oO@88M>eG-W{7OsO(4ODuLU(!*Mn4AfJHr^s
z7{)V+smx$D^H{)QmhlIxSjz@BvyGkX;eQ<95Jx!9Db8|%%Ut6o|MDOAdBjs*@S1mg
zB=SPNO?18_Ht|Tv*CZi1sYpu(GLePs<RUKx_@1H^rxZU>o=Q}u20v1VdNiOh&1gYu
z+R>5DbfYIB`Z9pQ3}pnP8OKDXFr8V<C7eYpWd$o)!+JKcl^yJ6ANx7TVUBT<Go0rV
zSGmD$?h?U6p75MkyyXLt7U_SY@ddGnO9H+kG08|t8q$-I%w!`cdB{&8iV#qeGL)kt
zRj5uaYEzeAXhc(*(~7oqpc7r`L2vrdpFs>^IHMTDI3_TODNJJqvzWs?!db{-ma?2b
zSjlSEvYw4>W-Hs-$!_-YKlbxChd9hpj&qXJoaH<hxy)6rbCcWL;XfjHz$2dUj2FD(
p4e$8CCn7JFBR(fOUl5bn#3eon`HF8yLNZd2iZrAn0~z^_{{z`y0)+qo

diff --git a/examples/ode/SEIR/SEIR_fitRandomSample.mat b/examples/ode/SEIR/SEIR_fitRandomSample.mat
deleted file mode 100644
index 43c111985e13bf00b6633bf6e8a4e7661da8b3e1..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 160184
zcmbSyi91zq)V6sZLxv=jD3ml?_o`HgqCpxp&l3&OTtbvkDb1-=qEVClN@?Pl=XsVf
zA{7ma-u+(J`~3r-<G$8f_qx}!k8}2Zp7rc=INQ#hVLRDy^e`(!XWO}!Yd36OV>oN`
z3a_=E+qc*lZuQ);VYh|hl<jL)c&%A&=;>i&=(@to(01oKL+cTSBSzYc5`L`=t*xv_
zi2Z;3h&wu~2xV5=B*bI{D<?qq|AvwNzgW#wOiW7f#f8W2|Cbl^nHd@UzX%ZUJ3WI3
z3s6qW;D;$0tSHK0<D?Ake3!w8-(+y=D?$4rgF~KYu>8{uwvEl;G50dK`E~}+yOF`Z
z5gEMcLI(FalfmAh8GQa|2Ji9BV4eL!yfcGOdt|WZx(rrWp22GtWU$Yy3|>4fgMUoS
z;5lP6*kf1*PdCZnmVO!R)F*>C%VqG)-gNHzp3X}?rE_3aI(y}(^PrS;K9`WrS+VJy
zdQ;%fr?WzEI?p~N=(eY`<(hPUH$R>GJEb!tod*s}=j;LLY^$EmdnM9&&-XN*Sf9oj
z1!-)Ql*ar_u(#4U^Gq7s`ls>19ck>pGL2nlr*Z4VG@damjd$s%@n(fIHvg5%Pa9HM
zE<cq`-=wno{ZvlAkjf4LseF2SD&Jk2$|sysdD56ver+V^lvCO8R|-qlrSS926doI&
z!bc)gI5IeeL%dViVR;JYIHs`K$P}KbpThRiDXiQs;+sVxR!kJ}l-nYnaYDp{cZoQ6
zsfeBJMSRIp#4j~PeE&}}Z~K_ca;eF@{b4dc3{U37eaU=dMKUjPNahBMWS-h5nRow8
zVxNj6Uh+1HRil#lTu>5sdL*%_YZ6<H6}Wy${Gs;)&-(a*pCo<Yw&)Msd;9}8d3@m8
zvp?{}Q6D(A?+5<<>pkn0zh})?@3|@BJ)iLr;+5}t@09oabkKWFk$%r{jqmu7=p7qJ
zzvF91-|_GD?|7KwJDxD)9S@a%$KRUY^0}0^tP}l~y#wF!qqT22)$T379`u$^Nxo&<
zk8e2p%^RkxZ#dw<8-BR>4L=|Mh9k7!@anEaR>)7}6S0Zh8Is83Hzo4YX^FhbB#|8@
z5?QVKHOIev&9>)X^F6QE{A<>09&GuV$H>2CvxZmP^X3&lz5I$@cE93u*H>&l{1tmD
zyyCMB34Hxc0-wB;z^l9yxZmsqer}$?<75&zqUI%kdhwEV!(Z}n&zEfO_>z?ezU0Ec
zFW9f>1#8E?;ILyaxO3$T;aq#cTeM#Ak@o-CU-Tbuy7nL2?D>zs&i;>24gHUGCI91~
z@_4R)63?c=@$9-fp4TIu*J;M{tk2JR;D_g2bLlw;?s(3+)1Py=@pJzBJC0p)<2X1v
zj-MTh<J5TqECpXGjzh|y@$ARXSmM|-zPjug4;k}}uPHrask*1^_TN)JbK)t#UGtR7
z=_%K#KjqS<C;a-=6FznN3A=81!jco8aHQrFwrY9I4-y}9zwpPrd*fsNF!3>qX+36(
zmPb4-@e#Y7dBk%zJmN_c9`OK;NBpHJmSYoQdF82CmRTFimuzC$SXHof4_PMuA+HL4
z$WN9(<gQT<h4=g+&#8RCTOK{&eMcVf{)G>Co8<#uDE@#)7v5*-nERZ%|2`j{b)PK<
z-RG>I_jpzMJ#LG*$D6m`;~Kkr?5KN>Z-2hae-iKV)YEs_Z|z-<AAgtYl<u-r%^mLd
z<PMt!++mA_ci7b84(t4jVX?dzuD%(=al2yJ-zkP2`^T_MM>M~D7tQO#qgi=<G~cm_
z=84MDoKbz7=RCg6IsUiVVg7A?KIAqV{*7YatSGL$7RA;(qS(hSic_?sSia>JPffVR
zdqQt<^zvJrXMKx*NZn%1;+t$4bCYfN-Q=0hH+jK;o9zDe2D`t%!Slm!u=BbbJaPOD
zwotsmT9uL9{UDOdeIhx2P9&ci6v=CUT<38q*IDM`b<W*%ozL@ic2~X5{cEpr`QvMR
z*8dvMoOg|-&8~6$@2k8a{VMBRxynf%SJ`vYRo3ovm0#6G@XBWqEFBoZQ41p2erN>O
z|GC14Gp}&}t5-OF>lL0e`3kpcTw%Y4%dGeOGCw+cnH?5g=1TL+yuIfV%VuBV%hxXP
zi0zj+dCDbTtaXVy8ZYvZ_>0^x=psK_e37SFUgYZD3%o1m0;@${;5$1mu$|onuI+n)
z4>q6Y{x8n+tK;W+>5}s-KKwl25<Ab+^Um@28|V1S&U5VOaE^cKoa5UqXL(`5Sym1`
z%O94V<pU$m@_5O!{IejO<D<fP|L$;}>=e$5`r%yMc7~%8&+zV3XV_)c88#h#h9zas
za9zo1PQG)R@9#g&=Uh(n5yR8G>suIa`4GnI&W7=t^@6n#Vx=(NRdtGw#Gc~wzNh%%
z+*6!B_!PJPI>~D3Cwcsplf2IJBww^W$$1(lS+(&5&yGLA=Yvjgz559sJ^Tb87eB#G
z`Jp^5DwH4Y4&{E+Lph{>C`)yO@ZonMEEOKYA?rd|-zJ0~DTVNi>R@hr6wGJ*gV}a|
zFn10K=KFt-^Oo%6JTme)i|stl`3}eVzTR;TX$xYnH$lAebP&&58^p862eGSC5W80&
z<IRtcvEPwne0{+&PBuTr-+Pa;Y2Hy@dFv?O+<lbWryu2s1CH|fZ-M+PDUg?62;`j2
zf$T6Tkdrk6*|{lzD_#Wf_Rs)UTN%J{qXT%gd;sfJ9^um1BYe&O2zxF#!uA$N*hK6I
zD;M~4&uxG1+UL(dX8QBLf&Q%i%a6@7{MhB1AMf?@;|J6HxK-beM||~VpCn%{x!}v=
zJbd~3WM9_M_T|vl!`$c1VZM6iFpt@An2Y!@AL?_MM>P5H=a)YG=%f!HTI0j>Y<zgE
zst-?2ImAP@AL4=fhuA9lAkW%*kp1-za{7k@Y~p!<PwO6F%@6xI#$!Lv*4@v_ANFyj
z$3A|eyN{oL*vs!c_j0Y?Ue-+B!;81=;W+(0Y?88@V|MIj+X1_|Eo~P+@ZQCK#=Ce+
zmN#$O>&*uTd-JWlom_ixCtI8E<nzT|tl{s)H>|vPTICLw2-?B9V|MVfy6ybn<aSQr
z?Offmjdjj%<F$6%IPKe3o^ov~=Q?lYoqs%ec#J3a&hz9tDNn9??7{8JJy=uKgJ-?k
z!jYS{u!7zeKAN(b^>=ONWRuMtP_T*J{WkG5>rL!byOCF&+{j@QH*#_N2DXmaz&D*Y
zutm>$PQSOFecadc45jrvEMXm+ZeGV@^w+U_##+9xe=UEuSj+P&*Kl#j8upy9h7G=~
z=DMq^IdRr%ek{J46CSVP%2lgaOKTOcPF~4ryH>Kpkd<6swt@qKSFq!R6+EzGIcr8P
zXZ^X$nPisp_V{J|X5%t8>A#F4vzPK1-=$nTYAN4rTEYh}F5#`tOL&ji62ADvo%7bZ
zv$38#AIn_Ka)%dl#HhtQqj?ecxx9$K%v{9vl8gB3^M$Onc_Gg>T*$Wy7O?uU1$>4V
z@bGW*`D4_4zQ1@rpHQ36$CBpprM>ewY4|*rZE)ii7u`62rW?CUyK&Epxg583E(Z>t
z%Udg4d0Ut(2TgP3m%VdX>e(D#vuO@j8O>qOlG&_tVm6oB&F05{XYq|Ev-sY|S)6G!
zi)Bh@@`95y`JKZ|p8C&)tKwYvq=ySH8tlTTa^^8-oq3vzGjEr1=4Y>Gu-dK}>^FP{
zt29sNN7ttF=7rOFVxQ@3p6<lM{hfF^JMp0(j-39`k%w<^<a@@BY+Esn+ry{vlbO@_
zr2I5K^4@_@A8_FR#yarNulDSG&z@hdwP#x+d#)+B<8x>2c<pREc2=_E8KSAY%6BS<
z@l-DRHHB@SPT|L%Q+TrZ6mDsp%y%Luv+vT$yj^cH?<=z9%VD-$=wi!*6>a&1XcDXW
zPvV$KlXy|jL>~BJB1`R>$UP$`vdY&9Jnq2+-n(f67nn_8`$p!R8_e5RFk1{@?yUef
zUj(--0842@SeuCto+hrIO}s#j_*0e*hlSX%>kJ!V4YT3?Y2$hDvGMFMZ9E^69naax
z<9KYqIDT$7j%P}b<K7QrImv%4-<&#@FG-E%J0Hdf>+2X+u^YpyrN?k?(rBI+Fq*&H
zkLKI5qj^WlD4u_86wh%Q#cLEt@yU#loEI{ZEoP47D{3QoaGo_MpSI?MZr1FqZOx-f
zN3iv!5j<_l2;Mnh1iz@Y;=VVn_}E%2)*NERajnC7>x1EJyKOiR88w{Eeh%Y_FNX1!
z1H<_7q+zToHH`g4maKBzl4D&gc|#vd9$#d^Mi(vEaH$24F}C1Ujpls&jyX$snzPqP
zbME;$l&>TV<++E4va$V8mQ@_ek~u@TZ}<?Nv}g$X3>d=2^=52$$BffF&3Nr-GuHiM
z${*jD^1A?2{%?jUC-*VsmXg72a&<6!uNll$=7V|3HxvFAZ^99WOnAAy36EDcVY7lk
zJnYgSc3L@z4-6T^$sGgPBz_=YIy8_?9R_lm%0Qw2H0C)G#yobdF^?Q(%yvJFc*|=e
zz8he~|6GiCqqY&ZRvWT!v>^}QX2{>h8*;jYA-_l;z=>xDaM_XptY|ub=X4nG!~YD}
z*w29P%rM|-eGT|;b$?Ed>CaI+`tv0gtZaW4<?3_qC4F{UtIzkW^m*W)ejJ<Bk6lmp
zW5vb&xYVQ{Cv@oXvzL1OK0uEfXY28R{(8KnS(kI4=(5uxT`qCb<$Zm1dDKT8mUy7U
z4SRIB(oTn4)pb~<N}KKPX!B`rZSI<^&6`!V`B!;gz7XA)XYTCFdXxKdw@P3BQm)0n
zqqSJuTZ^5hXmOaD7JsSK<P~={xoNj1``T-=wWcQjsMX-?hZ_9qfCeW{*We;u4Hj?i
z!?tmKINZMv_s;3V`;7Xqa)&xUd9BV{Lev@V>O8<)o%?pHu~Dj;u$NHdo$J*2)fhF_
zl~Lnkg{rK4OO>O%RM~Z^Dr;)0@~1i#&U>Q5*?uZq?W)3(gH)J0l{xT(GB=%3=EZB2
zxo)&FACysM%VH(&xUIy=yOlWBQHdYuDRE+}BG)G<vVN!{uV1FfA}d9<kx=9}`3k(~
zmIBM}Qee?E1-_)Gz`md5dH-v94mv5%cUQ`D^(c8BEGy4GrE=VUSB^ao%CY2ZIlePc
zj#vMX<q@f}tbSRRr95R>VX`a_)RJYFW*H8CDZ`baGHkn2hT}&IR$hoJq&YZNnw|Zn
z*=T_@%UMXXxR|ui4@j|jv=qDVm*T6lq_}I46fgNL$t9VRye3jom}4Y4Zn`AzHI(F8
zT@pM#O@c>Vm0(*h3103f!KVx)xZt}u4@nj0QxW2<=q1kQ9L0I`0C8^U6yvBgG2U}c
zjF)<gvD*y68jJC_j(?bb<sVWU|6%=)UYOtLMW0!{(C_Ji<DDK{oZkZ#=^osA{1?lX
z{{>V8B>cg$jel@c=MR)b-8i?i8+L=bp_Ts|a=yROf5dON)%?Q46Te_F@fXtDe<C>I
zCp=w#VrTCUTzT*VO-p~kRrLpI6T5I~YZq1;b-^vK6C3?HaeY)Lem8u_j&t9k>i8WQ
z-QRHMo`9v_kgoO(D(}By`_8ZUY5Emc$~v$*qysZ1b-?ZW7aWTEg0zKSFh=<c-oI(b
zR<CwUFl&cpMH_Ik4V$O7A>r3&Sl<7P*DF55v+rlvrnh3GPb=(3w_;aI3sSGPfZSS;
zsnCK$Z$4qR_a{uT_yo6)%?LQ(jAEB&Op|U#$;&1j-QI-xLz-Y;(}=m}8gbaA5n0lW
zuzA&hB(DZ|S~Or>eLV~>*TZyfJ)D*55%!@DKlayQ&*(bnwSPoe)JOcc>?7iIJ|Zu-
z7D~r!v1V#5Dtc<L?RgDMw$<S0&>A$=SEDPU8b%ANu}PyE`I%K%c(e*VldF)}Q;Dnb
zmAJB_67j<-@%2*$rroMQ!tx5Z=vSbpxEyJx%kgw(IbJH3qefH)WB)Q7o>YdOzoj_)
zUnypImtw%kQmA&6K>vOT>^GJm#Iyt*^~Km4Sq$an#Ypa7jLYRk2)$5*EAxwxqE!U7
zf<kzO6{2%iAx^3m!ZE7=1|bDdolyXN#RAx+<s;}=K3b>cW4&BH#8UF`G%yeT4temD
z&4afn7Z(C^QS6Y55pubRO3A_4V>zgE%)uRn90aFlBPci<H=MIktdfnvIaxS)Dhpb!
zS$L+Ig{?)Ius@%PF^e)`tDlK=RT+rBmI29C8Q5cz0r}>1JiU{SJzLVT&?+6S-_x)z
zE)8e*q@fyVm@Jlt#P_L~7nlm!>8Z$5NyYQL6vUlPLH42)NDN4UOPvT$Z;LQ$vj|yM
zA{_2YhRcg&j5;J>YBHSVlW{033F)VkV6`v_4-ArEU;hC=V?N-m=Lg&z{Q=khyvMV*
z?@<@{9z$K;BS`Z-B+B36^!0b(_3t1y{2j`>-Xc5UEz14gLTvh5aG$q0UHS&%*Wcji
z`ZqAOdV{K;iMXGbi10uGGX-Be5tY@iVG{isN4CC3&$!nJ5r2)*X|K>3_6q5XU*W}|
zS9sf&fa<seX!#^yrDFm_eG)LG;w6f2y@aplOW2Kni2;%?p_cgqI_F+s+=>_QG=G6t
zUH`%O&3}jp`VS-A{zLhI|8Th_9$wGlvC1bN>!-)Vzi&LA*FJ~%{pVP*`#DOcJjWW<
z=a4Ut!~3W>oY@|SeG}raM<EU&MbGd&@)>@5JcA28!%Nv`m{9N(#n+x9V9QfXw|R=e
zvQMF1@B{|epMX4`z=NJ3PVNabiyq_XjmJ>m_874f9%GHtV+=2Q1l8zAkn$Gn)JGWJ
z=Mh%d#Ny$DSg0O|h5z(esOZJwLGwebdj1fW0S}?%_7Gx&9zy>61DL*hfJLVsAaeNw
z^bUUj&wuyPm31E{Bkp6O$9+gnxQ`0u`$(<4hxGgRP<!AWlw9s%y1_kMZNCfI#Jli2
zaTl7)@8UnJyVx#%7ZdaD!0^T$^z{;~-5pHmdk0&aVh|S}1GS(S99SHKUW*u<?u`a=
zqVfBBG*Wj&<Gx)qZfQp&_S0=-zq}3c(A#iWejC@UZ$nx7HbRP{V00%6Df^?~J2MKi
zjH583>lRE>Zo%TxE!cb9!VcS8c&d2|a?Lm4`SK>3LvO-s<xOaexrrqCn+U4Bft8PL
z!1>4xI4!(^MV2>kK>P+C7e=BxCK7WGM&j+9NK7(~MBbn4@Xomo%Ujp+W6yQux?D%%
zKmot5Avg0Hx+1T^V)r%dbiRfh<7?nwSCNo;70x%VqGR_}+;X{!&4aGOt~&z5b0T0K
z6@l^lBd~Bz1cJ;WklA|$#)VgK^zIdi`CdWLf-5i?eg%2bS8%f8GL}8Lj7dS4VZGuq
z#*Dj+>8h8pt??3~UtPl2GnX)Z^CiShxdiKemyr1FB9^3Ggi_>1WbC<!E3+@+(2$G5
z`*9K8r5AAg(FHs@b^%Q*E?}6=1qAfDfG;iQvHtyee7kfW!CvPv*7-cXo18~t?>Ss9
zK8Itm=MZr09L}sfhsSgdwVLN(*nSqCqO-`lb`}%%p2cg|vv9FIi*}i_h^Pt2(ih<v
zb|xGu9^vS95MU(uf6ri8(HSg_JtJI4XVAX-44fyPL4xiXQ0Hl+Wu3<QnA7O%e;Nf#
zPviRd(>SPk8XLcaVQpF%w%rOtuumA`7Kh=>m@tg%6DBNYr|>i76g+O8Lg%4VIJWo{
zEXSTgZJ$%P*?tn<X(us1>LeU|Pr`obNzAo5iEVvP;>x!ZD9Jhj<GUxYFYpBFR-M4Y
zNheUHe*)WoheE3;6v>Z65pW_DZkt14?HCG!!J*KV425w`h_JSWVEM%mgzpML$=nbO
zwGKg$Y6yOP4#v*3V2DKr<HC_(*sco3&q={}X%LK%zsIqq>^R)xk7ME4<5=x=90%qc
z$4#r_C{;NQ{k9-%Ne@CsOc2H&4Z_p4L4aKl@&*RMTOtT%wa3t$cnr@Xj^X5iW7y+<
z3|r|Ky!4JC;P+A7DmjY0=SQJ*?kMJZAH^NFqfj1w6bCeq;?MU$1mp)|z>`2Eg#}{w
z_CSoE69`%BKzvjWMB3K?yvYr~`$qxDKNWzEZ2{1m6M)&)0SNCCfW~h}Fg5=O9zHn&
z(=$hK&+7;#xE(>|=p#7R_XsBc^oLxDKg#3%@#2C%qW1dZ>SBM~f<K=3_eW8$A0%r0
zVDr`wha&xu<L8HAYy5ED-Vdr~eh8EIgK?`bUT64X-2-3fpY%o5HecLx^+mvFUu@C#
z#q!^Wv8?<sHoiIx->Ziab@(ufRvktk`@>jdb{G#74nwug2m7;q(Dld%d(ZelahDIG
z7y4i}d>}Kx2g%|-FiAaxqR>N#n0p8Z^$x+i<{*wl9mKuO2hn1E5R-l%5Z0Ch7!hy)
znKKT+N8<pT%J#$J`hJ+K-;dG5_rv|iK3sgY4`2NEVeyQ8sM6Sn-Q{~R<i=ifY}|`1
z>%Dm2y$9Lv_TX#K9t?HegFXHBpt^217T?>AcCXzy$Gb64W;ZOdcR}a;F6gb;g^@#d
zVdZyk+)nU@M1VJT%=AXLjyKMI+zF?9JE7sd6JICpM1%ZJe98BMYJ?Z2uJ^(TYcF*C
z-GQ~D9r$)?2Tr^1fRpJC^!>ISzY@0NOW=0=nX?`G2HWBKX&bIS-3BqAZSbDH4dU9{
zaQ)*}%zLmEhI_Z-pWRk`SKo@im7dVM<0<q+o;W?(6JJz3vAo;^4YxgT$jbwkwjStE
z_JF8t3!dB-;I#!Qwp;L3WebK?Y=%$FW;A+l#`39~(XPH3C#yHX{{AMY?c0R*X`4{f
zcM}@xH$v>mMhrW=5nE?&6nd+T82)(!?!DLmKDGfL=WoEp!5gr)Yd!2ftjD<1>oH;F
zdMp^R9!JF1BRP8=^scVMVUKnA%j*!Nybk7-Yf*h~Eu!|Xh0lz&@X%ii&(CY%m#_wR
zg4dwleGRNE*Wg6YYKUj8MnJ@B7<jHm>O{d;Ta9_Ot1$lYDh%^mg)wtiVV21%9Qd&k
z38Ixyxv&!3H?G7d60Gt{C|9q*%h(mz=eq*Vb5~%*;1w|awH(9Kmc!}ta_sV0j<`w7
zA*-<*8yl9P`uQ@f30j68_hq;}d>K|rEW?PxrBI7r3h{kQA?30Zx<*Sev2zJ_iI(8a
z#U<$Hu>^s(OCYVa1ZSGvF*?B=O()!OXO%k+jdjNwMR&MYFUIO8i*Yb;F=7@kM#J#M
zu$EeklO>Dr@7^LDI=l#K^A_Rp&_!7DZy|;hEJSbgLew8vh_X2gQER#ozyB_Paoz$f
zzP$jq_Ah|goCVlqx&Tdo=VM3SeBn9H$EySLvCnlr9EZ$@*}r+vE}VzHcjsa7;d!v1
zKM&rP^AIOF53*%$SRd<#(f~IsTH=P*k!}c9a0A!QMep;u$PS&0*fn!;9di+>F&9r-
zTv71W719@6VYk&4;SR3oGH}J3A9GNjIR`s#&4K!XIY^v42L~+Xz)5NjOe<zX<LPXu
z2G54x>e(12T;)qOXXD)GS*ZRn3uCX$Ld4El&~%xF3xj82*uR;`E1roXu`}UtY$kM8
z&crX9nP}3OiH6TE_?F}Xm8&iozuN^nX1gF^s0%cuT(Gaw869!X@H*)X*^SPKnc|Fv
z{hguna|Rl7X5ihO8MyC115rz7;K8^VNa`~KEuW{Ozi2v^U7wDJ`=&!>-gNA<nvNd|
z)8W(L1f4fdczw|cJ9au@%q%C!nmeIU+6nnJj>vlHh?298!W`^~zRr$tGIK<*q$4V-
zroraLG(?3@!+>pqoiPn$HVsvh({Q5N0WL2cpm)vzo!cEy;o^Y2p$;gNaX{lodq^kR
zW5gwUY}#dy$FBB}wX(+sC3}=M+hJak9cr)JVb4K33|MT3ys>r&)3n3#uTw!;Q!()F
zROlR?ihgUR!hG^nOdBv2+y72MOz9M~#ZAG)GgA<;Z3+}-PJy4r6v!(~!R4mOK+<G<
zikyraK9jLwsSsl_^z|k~{+BHzi)^9r)E522Y{6S?vC+jAH!W<@q9DYdCgF-`66B*M
z!PkEhWLHhX1=~p&Yd8rXdne*T<wPt=m<Y>D6QQtoBEBz}h)-iDqP6ct{O+0n&B6(w
zrxW0DdIIimpMc-9Ct&u733#S90VW-c>)DJU4;imR8OuCa=wlg4mMqL2jK#thd0Zx7
zbRXy&0%&gm2005)-4a-?{J-00LPjP*^8sOfC_&^wu%1bX8BVZJBfRLa!Q5OMbU(7e
z-7p)h-(dr*xi*j*ZG(C(8)W|&kL2R<NQobhq6_2kW$$=sxR1va9*=_t<B{}l9JFi4
z!Ry^PRNfee*+<49XYDvFo;D6&hm1p*;y6rb8!PnYV-X)a76D;nvCL~Mrpy})>v3aY
zp*I#I{*Hld)fl+H83W(QF?ixX24B{W!5GIeIBGry4a#HS+%Xz&@<wCAv(XTp8;wPK
zN8^|KXk4E-8g9m;p&>mQ6-}cMn>Gq3?vKLmlcTVC$0%%?Hws?kN8zacC`A1miR_Of
zA(=c9wlO1x{pm<ldX5CSj>L^IBcY`?5@9{o(5<z`-4E7qh_*)Cace|)T4SNBH4MgD
zqg~G$DZL|b@8bwuN*;kTcShh`=m^~0J_0Z2jX;IX2*?c>feDf$aInb=Dd|?wkF^rk
zb}M|`ZH2i@tdL`Cg?WRm(5PSqpD)8Ps9-qq;)f&X%5co^9S)s!!_hu{I5Mq<BTj2L
zV!DSRs(Kjie;9^WF~d+CIt+hy48xFx!?1k9FkBxv44>tOVN$y#BJwRE{huYgBP{XN
z&k{Q~SVD59B`%J#1nF6#;hzOAG+1C>x&`__vOwEe3yAhx;Lb`5oSSBWkYN@G*0ex)
zw>fUtnB!ftIhyX7L+i9TX6!LX@G^50*_mUAg*lG&F-Oa<p;%Zw6uC)5G3VY;RD=zM
z=boWZTs{=B_CvAMawz(04n=YI5L~Yv0<V-InDuZ7MxPymfd_^N^Pqs~Lttz@1S55a
zz*%gFu;((v<t#JgJ~M;r6*J89H^Z$>X6Tt?hNU)UNHH=4$(tdr!xT0prVu5XV##e&
z{0TKhq_-*NEH#CKy(!WyO>suc6l;41!?s~C24xP0+Oxrsx-uBzM+QS?%V21_4aQI&
z3`di}*s44j*SbtlQfUI+WD~4>V1lP-O`vkf1Y6gcpnRqYT*jFo)zCz^cVL3juY-jC
zcn}oc55mK{gW!H<kTB;DLiU<L2zMETRbvNXyx|~d%MU{D*MVp&8;JV%15tNxAX>r)
z;`hOUP+LC`!)Fh~Jez?yGH@Uglm_BYmoX++8{<@pF`6G4!{L%K9{3xhzlSl-%r}OH
ztuZbRHO3H4W4!4x!m=hK$mAN~=?f!lylDipP$RVOGD5-%Bb=IU1dq{1a2;TTN%BS*
z_1zFwm4+B4GQ^}uhH$-P2#+I%IOS=GmkSNiHpLKwhZ$m>jv-<t3?bGw01Ju-;Q8AD
zFt|4W!Dk0R;_v_*+B5)C^9JDLqyZRYJ^+bY1F%wT0F+t{@Vd|dyWSXJ++72Roi#wV
zj{%}K8Nh#@0XEngV4j5moU{#KCt-kTZT&H)q(4@@?~nZt`s4D2{&?@-A74HDWAI{u
zx9^YJBl_c;et%4r>yInn_0e0UFYK@MQTR+B)356zC0HLbcI%^fl|DAi)Q1G=BXY1l
z9Q)|wXHP%e|I`l~3;SW%+kW_UuOCv+_rrDne(>4a4{P1~!F5_cIE?Ct$%g$fRjD7G
zf9YXKy&k-B^l&Oc56`0YP;*8PeGcnk`W8JLU#N#%J3Sa!>tVZro^a1m55s=y;%uER
zq;qt!FF_YSqjj-2To+Qlx;W#Z3-iUgNOjP~mQlLUG15hvvMzkPbzs}11DOIH<h{|s
zt@}DScu@yS19dRfO9vxX=wOhG4h%?unGQ^}bYLx^1N$%9SYDxx!>QVcj?+fb4Q(i#
z(#F(-+BmXF8yO3<p=YlRkCEC)G1SHo6>XgS(-%F>eX*^mFIwOC#imDn@in3^4hHvy
z`rf{{v#u|k-1?$pa$j7w>I)ZxzK~Jsi=^LL2x`)TTcH*Pzt=)ftQN{6w2&CAg_yls
zxUgOeC+2D4_*5-~SZg8NPzyIyv=IMS6ZtKg=q%AhKanP;J=4U#8=81}N)z7?X=0p*
zCj8trQQ)Kr^YNNEYO0A=Eltdo(!~338W>xvfk)XI81Y&I&+lnq$|VgH9@D^<-5O9_
zr-6rV8dxw@1F|DEkYJ>NU1}N__pc9n+xj4_q7N>o_kq`oKA02J2cysTfk9v&D0}yT
z#F{?%>ndQf;9Covk&sgpH2>5wyImbSD%Ei*LmeqE)$!+!I!0Yo$M$3Dh}*4>f9urY
zGG84x?A6gTS{+MF)bUPJ9hOq+!g;9%jXE`i=BYvTof^U)sln*F8XliigQJfc8a&ky
zxJ(VhW~!llf|@YTs=>}c4H7D9Na|5VNSi7aRjR@=Qx(#$RPphiDv~a%;(o9yF6~!E
z=w?*}xU0f{hAIM~iW3&9xU8>=hf1mt{Z&EzXBEg+s$h7g3fy0*AoRWplCP*hGE@b2
z2UQU4p@Pz-Dlng^0^f-$s2Z+<iH0h;rKSRPae@1)j9<0NLf@>6@9&hc`-w6nZYm?}
zj517*DC6x;Wh`H-45|6bxbL8h#p9HrGDI24y2|iVP=?(fB`AGXLP>=ZVltI*=(Q3S
zJye3tH6;u<r386jCH&g1gwLy#&@fjCb#_W<9HWGGQziV-QG&995(fQI#Kg~vSXQYB
z|13p3NK`~+tRmDS72$MR5l8(Mk+xHa*C}Gj0wM3H2q{v;QVT`A>aPeRRYe4eDdN{x
z1#GNSKy85nmLw~n>bU||#VDZdq5}2@D?sg_0-`+?V7Ed6O>-0wGF1WN#weiKQ~{TD
z72u|*0F54b6t>Iba*aIJ=gDK-2YD#R$)oAEJd!TRBl@^JP8^WOK2LdUULlVauJTxH
zCy#|=<>5X=9;^Dv!&6xvhyKao%vU+wuaiT1p&Z&pa?pAq2itpc*cKs&TPNjE<tvAN
zJLRxsog8i~6g1Q2z!T(f%1REOjOAdjC5PLxa!~4)h4*J!)K|%3ey%LC-pj%<P8O-r
zvT(j6i^33Dtn`t^_wBMcx<(ep3uN)eN#Ix(@>a5VYAlOYTC&iVlSOv7434+SU`CA$
z)bnLfmL!AQ@iN$RR|Yd9WH98E3}pRf(BdtF+zm2FaF@Z|nKFo&EQ7P7We{d2pr7EY
z2%NYK?sQ7yWs@{=%B1lrQyMaFrD6J18Z&N7W9LO_+z63Ip^r2ay`*8cP8xoTq><z-
z#J19K8ztmTrO~A)jp-`Vh!U5Ebe9y?H%lSATnaYXQiypc1^qZFoQ{!#$`vVuoRor^
zzZA~xl7jIjDLh&#g{gC-P;Ms$@9|R5vXnx+p_H({l7gI^6yp9!V*M9M7}QCkq(~BH
z(<HIrwGcm+MDs04#9fd?V2C8#4@+Y7PD%9HAc^npf_9c9-cFSi_DPb6u#iNUp``E`
zfFuIs1pJl2u?`8Gte3#05((VNkie@q63BllfwpJ~C|;3(<tYic9+ANQJrao7B7w3M
z5>TBd0S6}u_)U<&dus{Em`cF8p9IdUN}x$n0^@&)<HToie5w(LeW5sRr;0=AwK%*U
zi=!q=9J4No<NXP7*!YX%*=})++#=W&LOf64orL^EK{ry+n+bLOg?e>i92s#mcZ(tP
zix|e%i=n<m4B?q#aC|2Q@#kVlxGRQz*Tlf#Vvr0HL&iZdT-YIo4eJGNi5N8Jh~bO9
z7_vwVu~tH@iI{LNN(>uS#jr?9441zBqhl5S=wR|c+8g_i_Fw!*NBsX$xW_-bx8NV8
zP5wt;EdEhH?SJGV{*MA%dr4H-ODb=A$^A|*Jv!4%N{4#MV?!?$yY`a9gkE}O)=M@T
zz4W@Lha8)Gs4TCCw!i8j_2?do3+thk2YN_reGg^L>7h{Wp}A%~WTeqUT|Iv(yZJB0
z=KrO0um94Kn7_35%wO7h=r8Ts_?Hg3{iV=Jf9Zz#UrOxzmukiTl0w@b8ej5<Jm3GJ
zyAS?Q`-ML=_Q)R!-1>(q7YjLuKXlpp4@n#Rp`G%7sI{}3*41=VOL{l$c-~DCH@fM3
zXg7`8+f7Aly6MpDZW_kjRA<&rS2eq7g;+NY`TU!H7XPM<_rK}(!{2oD(r@w%{7p-C
z{HEE<e$({n0>%pdz~8h~^*3$%^NWI-eo;*RFUm^%MZfR<qM_%1(MtbcbZzS|s(1fI
z!yJFn!O_2{z~~oQsr;g_?w{1%_><P>|D=k<pEU2@Pbxb9liZK|q~>iuY46gX)Mxrn
ziXHot<_`Kvy=p({LC+6b-SUGBi+|9^_dn=P><`*~<p<3O`ay$t{UGVpKd5Ea4=Usz
zlsxnYz0&?cFQf$fwTqIfx+p)ri<;uQNIa^Gj81ovy-ycy+tNjmi@K=Pp^LOechP*~
zF1o7PMQwjOX;MokT`2CPUmrSY$>UBEUG1c?A)R!8Zzq|p@1z*FPO_TPNeNb+<YLfC
zjf$P*_xn2yZu(AH1>b4^yYFNb`<*^r`A*TtztiSD-)YRc?<DQ^oysPEr)O5*Dcs;Y
z?Nj<rYrDVE{N``uT=b0`KYSyn$KPo7wQsZ}^c#8Z|3(2Dzft6ZZ}h?b8?}!5Mmhrp
zjruq8{r8m;+rE-`#aD7n`$}iyztX3uuVfqkl_LBEe*0J2u>30(xd?gwN^i}-(gZ!h
z$_eq$4k~KspbZ5bB>ujGA|7?nq-!129NIzQ2Rg`Ma|iV<>Y$g79duw^2Te8YAho_7
zR4dg%@!!ADnU7y+XYLnT{N@YUKm0;tBfgMj$QLr(FJP14FA_LMAvaFYm<rmyLXGqn
zitlWv+PZd9&2Oj4@7ihaqjq|Jt(|_KXs1bs+9}whohp~K(@5ub3Pn4$o41o|zjk`1
z&`uWJZFKEZ8|jv|(Ycg1(u;4S$lGl+{9GHo4QQhU-fh&mrj5eg+KBAhsBu&qogLIh
z(>2>jTB?mceE&>=b)RWw{%6vE|C!n!f2O3!&vZTPGx_>{rghst)9jU>Y0{j}G-~o^
zvb6q8=Ej2UBg7H{|E-l~e{7|-d9CF0u9dDnZl(8;t<)OUN;-b6<g}xe4zFsZ1lLyj
zJEfIuN43)NL9JA(*-94Dt>oX;LNyI7WLwlix072){do)d+-{-Hb1k&_XbXMX-9no-
zw9wauEwtaMg%qiUu9~;dIQ<qXRBEAJJ)fw5`zK1N`b4|4Kas_oPt*|mi6XCmqSaxa
zXsF*O>e}&%KCJ#k=iNThR{KxnJoXa}Gy6oEx}T_5{u8xzH&ab(GnG^{Q$c1k6~1n!
zvWLx7f32CmooXg&zh=_+YNoMknrZ&LX4>b_OgG0hQ|^#vlI+(^<CU6eM^6(yZf~Nl
z>Lx;N6CHimL?us}$nsVb1)Oc7y1*u~+tWmMH#U)$dlUIPH_^`tP2^$KM4ybBXoE%*
zwMjM6&L52=(cDO<OB=~7y^-D~G}5vMjU;}pk#3)Aq}hIrB(}4Wo~&)8jSCvd#Ho=Q
zsF7kU8)@5sMq>3wQkHC_kDU$lvax~Amo(6xv<6z5&_E6k8ff&j1~Lt6p#J_1r0v}x
z%)^3RB*Zfs$ZSFbjkRhZC*uZMq1izDWg6(xuX=jjQcn#P^`w?vPZQtP)AlFz6mv`9
z&efAiP(5wfUr&!b>ZxaWJvqD9({;Og`aQOu+=kZEGyQtfRjsGP;`P+_y^fYN)=_Rr
z9XY1gQPQhAvWu;w)W|xT9bQKjfpxTLZyoh+uA}f}b!0WCj<ToL(e|-*q&u{ZKIqrc
z4%IpuEKx_5oge9Z(?^<D_K|clKT=iVM~Z&@k-Tqxq-p0rlELwh^z*<+D%kpwo~`;w
z7w3H>KgW->6(4E&@Q*at_#@5G60~vx{?yWp_F8hSt)-;}wX{W4OFl1Z>FoVlioI4#
zS*L5MBcPVF_SVvbEw!|1c`aRbt)(3MT9UJ=rKy&+<ZoC@B8^&7k*%eL-8FQ(t%iQr
z)X>a=8j2Cskj%>(TKAxaGOpLqsPG!PcC?1n_ScY~XAO0)tRb&?HT2C<uq@PB)sXL?
z8dBA%p{t5DH1c0HrG2ZWHI3CIRaQ+=nbkDoZ8dd0t)|H6YI40?O|mDeDbcT*_U@{t
z@tdmY&(dmoJExkC+gH;9n`#;|teSd^s;N+`nquXv=|oQzZTnh9^BbyYQfU=gW>!)E
zw^gM6tcv7fsz~xm6^Wk`>=7Z}Bk)^<{E8~FaI2z;j#cEwRpdFMih@n5=)P_h<tkUv
zZ}BP`^rMpIv{aIRRVDqGS4rQJD{0uvO4{<Ul45UE(vNeMG%2`}LVPNz(yNk2Y^bE8
zODgH(Y=O70r0X`7Bs08{JO)-$sdgnzQ>vsFVwE(!tAe6GRnVZS3c8V3K_;RKy8E(%
zM#Wapo0}Ch>p}(9g;dZU-wM*$RY9?v1a5f+eV<!F7ac2T>VyjVYF$CsO)JPvzk-z1
zD=1mIg8aJ6Y3i49lB+ML?2>Z2kXcUa-j&n1=jEhyubk?xmD8*6a=H{$PWum)({itJ
za@bH#BbJtvfonObPAex#;lEM3N0d|N;BxxfPk>rEbxD`g-|jM!=_n(OhB6vhRz_p8
z%V@@jGFtmz8TmaZqZ>EMDEWLDeGVxjEx$6d-Cagox0F%j$}%dMUq<TAW#l}$jDp9O
zQI>@;j&T_+)-Izcr84RiFC)93rF7wQDRtDAl2dUh-OeZ_*>|P1@p&ob+$*K=k)?F&
zTq$XWlv03iDgD`1N?uz8{mN4ETp(CyA)X@e<4Wnsuu|$XsFWggOKG%fDWyx5((3LK
z66+|Ts|_V&TV6tqIVBXDTted$N~q~k37x-PLNl(EkmTtSdUdpf_8u%D8?O@jyP<^M
zE-Rs9ZY4B#dI=fZmeBVxB_y&ap$Ov=+O1PUZYm`-N~(nVb{Es1FU3^XP)u3n#gvd+
zO!q~_bnR6!oqbYFCt`}}_|;+x3NNPM<HdC9a50_VRZNjvis|91VoF?COnEblsmZRG
z{!uaMSr^kdvtn9kP)z$Z1)V}MrHd8Q&mToJxUGoh*A>z6(jt17T||GAifCLy5$$?h
zME^w>QEx;M*@qX=$>T*-dANuycNftik0L5qT|^d(izsk*5!E{s3FlG~-5ym$%H~D1
z)2N7Qw2R0^rHEcj714-4g>?ICAq{9Qq>ELBq*GW(7t#w!|6L(P#ut+L!$OL?RY+4W
z7gAwZA+0}FNWF&&>6~{VS#K$%oK=Oibx|Q{%r2z=913a0ghEmhzPS9typT2;7gB%S
zLdsJuq#&6>vg;`ziOvFg*HS=7Y75Azq=5Ql7f?k~0mUQ~(C#M!cc*{`TrUu=y8_Ay
zEuecx3h4O$0@|{pfM#zjpm8e-$Y?<UDbFmRKXwK583j~5vVaPQ7Eq>90j1~^P_n83
znF31f$)~K&d@5?qr<#xX)K;2Le{=FlB_*GX6Z2_&Tt3aYpHCh)^C|dJKHU$?r<`N?
z^us5g40h*}qh~&Oug#~ZCHYh`H=mSd<kOTX`Ly3ApW;UdI<tHlYnV@awe#tXN<PWS
z2;=qS(bdj8YH!V>Np*R2rYw(IbMt6ws=&X=qn_t^wB%tPy@|>rlZZSD3D2XS!FjaG
zKacYE<<XQKdGvf^9$Bu;qgxB}$Z&QZU740g`jhe~Vr(8656`2R!FgnDkVmhy@@Tqp
z9+gYw(U!lt!fTsL7g}@4x-OTp%5rIQUM?x6<<i5qxit5`T>2B6OShtPg}yYG{+-LE
z*b}+5DlnIH4&_pgcP<5a<dXf`T#{OvOG$3IbksSQob7T+i*u=ZR4(1M$fdo5a%sAL
zE*WU%(s#vNN|zMI{F6h6zvs}h)*Rt)&Y^+jIV6{#LtoNzsPtV9CB4X@Cy#UJ#+@8G
z8<|7LFXoVMSPtzA%AsApIka=HfbD|6QQ%ezxkZ9zj-YiCY9{B<W1AfMV4XuHLvyIz
zIEQ5V<&dF94zXemxl88Ifj`-F?Rz#QwPsUWT{dY~WYd&_Y}%HQP1iqUQ+`4=$vw-a
ziTAT<_pNMtawVHO!n0|3Xf|yP$fl<Uv#HxVn<jf^Q}DWMDp{6IgBN6z_pEG6ot8}o
zw%N3Ed^Tl`$fhAfvnjwhn;P`8$zCIyVidDURVtfy{mr7<&Mb0n%c7SJS!7<7MOTWl
zNIg4?0!3N$FENYu#Ai`gY!-RN2=;mw?Y@{rJz-hoe>{tn{j=!&{wy-tnMF^xWRcz4
zEGk)=MO)@)k<=_<tZ7*^&Nhn*#|!n=S)^s2Mezf(Xo-FnNo!@%L**=5ER#j@|1#;n
zpP96&Ba;Sv%A~^DObRK>B!~P=k`z9md;1}i4!_EzDRG%3`!JI-Z)Z~YwM<%eA(PC*
zGU<0vCZ+mi(#8Fmv}I=|P4>tn-F2DtZJD55kV$uDXVNjJOxidllbn%B)}w{|uuPIL
z&7`&gnN+4D)T?LG3x!O&FPTY^e>3PpR|bW(XHalc1|6-*pny^Vd4iuVa36%+s|>mr
zmq9llW>9Q&2ED$XL0K0wsQPpUeGASY*?<f(IFvzScW2O?Z5iabF@r)^Wza+S49a!O
zpe~mT>NhQerr2iC78~JsBQu1#JA;0jWRTf_3|g#{K_}G(P9cNDq%w$l(rNdPbc*|u
zPCuH{Y23$j+Fzbd?+VgMAuF9+Md=jrCY@UUODCHr>2&;FI#u0DC+n-}bo6{W)tnOe
z<LPwPKb<-c2>M;=^mJ=FX>Sz9S(Q$8?&&mrUOGLSnNCKI>2zXpx-i$L)7H^KZdf`k
zFiWRwqjYlUmridr(}`8m>7{Hsk$5^Kbf?k8&NTYamPXT?(kQ<sjh2+9(Wm@0+Lf6`
zGNLp(_a=>ozDT3QCu!t%KaJX=(kSp+8V$UdMsH51(Xx;<5(`YD8$M~|uvf_MNTcvA
z!no_wsAaiOzbK9D=cdsQ=QN6TNF#UKH0ncXlsYPne21kGo2AijqcnQnPdKJl8jV*?
zqrY-#^j0E`j{Z%hSwB)quOpQjKc&)>x>WM5OeNRiR5Hm;rQd0(l>H%<qF$%cq4-o<
z^f;Bq+)E|Rs8s5_no5NiQYrp)DqRUlCBMK_+H^RT-1eo?q@Af`>6uFU8&XMWRVwwm
zr_#51snj$pm8zUlsc32{<xEJWjB%-yYMn|c7J?m|O6i8e@$^!uKr@xfRZ^*5E|uCP
zQmOlI3d#LUA?>dzWY(HOHVrA{Qk_DpOH*iHehQt*OrZy&6iR!WLd`EzNH$K;#ij`B
zPl~V}2>FN<dU-yD>cdh<B}AwXOrdp$Q|Roz6cX)Bq2Hb<WVtbgR<2H=3rkZdcR>m%
zx~7nWa|-!8q|kfY6p};=*^Nn|qgE-DIW&bdOj2m^fE2o^n?heSQV1$36eO2IWfCc5
z-Xo%eKSh-HRYYc=MRcf9L?tyMvMv`<XrYK&vqj{TCZanZM5L4`BG3OsRPaPZHV;HX
zPc0(F8zS<)BBGDyL^LZ*M2W#7vI-P(hegzPzle@|i%4Rdi1uz03HxiIez}M~FA~v4
zHxaeW6wxLp5w%Yh(e{ZV`ZZoS{wNX24Hr?^5D^&+646});aIvNO4AULyNZau$ce~L
zQbfAF$rSr5nH;|-Q(ap!9coS{{kmj&S(!|WOOmN4FPW}oCezfEWNLYrOs8HYlTCaw
z)jv+AllPN}qm!vMGMO%2Nv0X+lj&brGCc`NrVU4v$<QyEN)9Ab*zRO<-jPfS9?6ul
zKA8enCDXK}|3lGThDWh<YZ%7e-Q9vqknlnpcXti$@Zs*dafgk&J0m?VQQX}fHtufc
zIX~_z$xK((s#U9MI+NjopF76sZ0k6!XcnhV4dYax4t<5k$qb9rjL<kWFB7Lc#pCp*
zP@IB!xh_YX`ekO!baBd*GET1($LUzSIBokGtEpdN)%AU>s=bO;?q{+3`yf`2ZpZ5Q
zwOAdx7^~H1xaN4Q21LiItv^<^T(K%=i&g%^vC6P7R*84U>igzcy;&ElC#zz0XKAdi
zE{N5IIk7r3Jys_t#p=XZjNtnrJl3D*dT~tz*LI{$8`?Ifk4E%Wk3MVCcQwYS%vj|a
zvlL?&i`A5ZvApLL%kMC;ipvzM`)OnKD@ClbCy7<%__1pLD@NnK#%SG#82Mkv=+S>M
zO8z)TW$(qP<INb&yb_~B=VNs16ptT^QI)6|4e-Tiy)#B<tuab)n8)_TXz0!u?cNfj
z`|D$r^WPY?Uml~Ci(+(XZj3U{icy=XF<Lz#MmI;tDDUtX^%)$a1N~z3xo3=wh#1Z9
z7^ACgVpOO_j7Bz&QFOf+WvUgUe$`{-sS=}fp)u-Ph8T;-C~J`z4bLB=)45_4k}XF6
zWQ@_%G%>1|B1U@>$0%id;`tS=%U`2a^<%WQy@^)J7ttF1BwF|HN2}@WXnC$htN5j8
ztvkzeC!;kbHd-Ho(dy@o)*VN*+E}A?=1{ci?~7K{&S-^irOgKVTN5q!ifCy`w0!fU
zRbx)HVy8!|@#JV-92c!lqoVa_Xte$}C|W=IM(dxR(aIbVtsNbs71}mhaV?_Nu}QRE
z*N@hW+R@5pMC)+XXf>!5t%v2JHMvx@vWG;=EJO_XqV*|fv{q$}R^^P*x|xPJQ$(v^
zl4zZbAFUC;qm=V|lwv<cY1q3c<$4vR6VIYF?opJA-HXzVn^9VDHA>+Zqx9iSly;wp
zQbcT&vP4GdoHt7IoKdP{i&DHJQS$AN(xlx{s<u5!zc)oGur5k7R!6Dc@+hTT9Hk5M
zqO^8)lzL8&Qpw3t`Z_L3(W9cYbQpaOj#8=qwChE`-J-OubCkxkk5c2-QOe&uO5Ykq
z@m@ld_STBh%y6!+8YNYVQugvZS1L-^L!#s=9HsU7qckNqV`Ps~{mk^4K1!KVNAX$`
zrKgFAAs%u5iqyVuky`U9QvbY*)Yw;%>i=J)Iz5h5)BBOCc{@^-u1Bim<wzAeAF14@
zBbD`dq%y=r@}7RAQhFnm+!?84HXPym13b2e=XP+-7Oveun>DmuNgqoiRdHdYjJc6&
zJS$QirbVjnq)3e(7pd8!BDH#0r1lJsl&62B&h?Je<L;6A(IrypJ4Py`ZKP_oj8vDV
z#Mm%WE9yq-NX<x{tsbe@VUbE*DN?1&N2*2XNR2EWseg+^%3B~(5AzUH&PbKZ%A7Jr
zYF64v9ZngkTS<vG5p#<dsXo7gTJ<fcxKBZSdlyuR*FklA9@NSwL7jXMRQ$U^h20El
z#MPh<Tny^j*`NxZ3ab0Dpf*JZbte#1Zf{T#&Y-r~f_ii$sG<jh8oW0s%g&&_Zw;#E
zrl97p3+nRfpz^K=YS5CPoC|_VGB>EUvx3?=EvPS(f@&~6sP&_RdOJL*I{yo5-N2yU
z_YJCHub{Sd3+h+rpxSq!-!?&|X-Pj#gF4YLsABbknp-QV=ixy$R#1m32bCc-sIg^<
zuOxki5PRXEG8YJHYM!88<Or%=)}W#@230m4^GFp`>f}L9P8`&m_{{B3K$m_5RR3#0
z-j4y5e;3f+R{`aJ9?-fc0cCm^(BiuRCBGHW>}vrfxE#>5^8x)m9njPh0mX|8Xhu{(
zi30)6^8}Q}8PEz_K-rH5wB=wx#r6esbXP#y9#GuofLd(`=-!%uhO7$c*Rp^XEDk8=
zf`AVE6Hxf9fG$i6sL$kpevA)j>6n0ujtnR;G@$l_1A5m#p!t0QD%>-m$cTU<I@3q{
zfY!GOsA|iAZZ-{QVxxd^*AFOIJD}b*h`V|~hr<GDS1F+1<pbJTCZJ{|1Nv4hpzVbN
zYF>ao@&vRmXFwgY1(Y;%K#ueQ^-mK}j+6nNNgB}fL;+QdAJB{6er@^TSNpGirTygB
z@ppdBc<ooU7k+(x>gOKKuVMH7Dt*V#@4$W?yz1AGOZ<G^uXm?;{)As+<G4QBulPZ~
zj(PoB?DDIf=~rH>U(XNwWjo;4)V+Q+-sM-e?S4Jo?3aCmU$fWx)poUCMOOIrZHZr}
z7W%b$o?j#9_|;&hUwNka^?8zCXU6-rYYcsi^sD1Aze0!jm2M#M^rcNNzxH<b^S+v2
z{X6;9u)SX;+W3{aCGj=&>vAJM?=8@89mcEa*Whr!+Q_f!Rs1Si(XaI7{rXkfum4K;
zb)}eJ(S`l86!2?nUcZ**A{W{H8kNPbz8M)ionK8;`&BE2UsaNlgG7E6j_+6QKR#vo
z=~KFIKBf5VQ{oRk#eeJ5pO-%U`p>5yPkj3R5cl~0wogBA`1Jd#Pw_7Ml<0y_$<O+f
z=9EvFj{B4|)~A9|K9vag6zcUU+~re4)5mL&Pu-9BG~}R96ZiQvf45I-clfk-t55Dt
zKAm3g)7>>by<f%nD}2ha)Tc6we5yO&r!N2aG-{Sl3#a?EbBa%ai9X#N=hNrWKBXV&
zQ|VzoH5ua5z=1x^>qnoxeLC60r<V~vrS9TW*^Z3g&Zlv$ecIT<r|70Wy=X++20n$=
z^{Hnq`ZjzrtNHXGj5d{hsv7E3zj8jUD(zED37<X|V_rq*r=U-B^7-V<P5(K3%A1YH
zGBa)l;!5k&msCELO5szVq&{s*<kR)|K4tjpRnuQy&HL_E>=!TZRd`k7y;oD;c;$cT
z)t~>oGM;)h?U7ee_q|Gd*Q<uNyjpbKtBY5>%67@Ci1S|UJmb~tlU`LiPTN?oPDFW?
zDd<%<pI7_cUVU?TRoCv-3X4|{4|`SqpjR{Yd39;GSA}<aHFld<CpUYQXQNjm)_Ha8
zU$1hn@@nLA9$(^Bfkj^4m+<QHKVFrdO}sO_dOVd_CwsMVf>%GrdevdHSB?>0Wf|tx
zm?2(W8|YP){$8!?<JIq;UUl#8RZLf}LOOf3xPw=p+IrQwHS=oWRq<xT*4V3G4ZP}G
z&#Mcyy{cBzt3BafWv)i7VP3tf#C$@%yx-tecp0w_m-H%Maj%vaB`<}&8dt!pS9!ha
zk=v`QIlO9;&8z6lUjBydl_i~5CDM4cBPDZ8?$z2P<R_6=OXGW$`maaxe|ePbhe!W>
z^(e__kLG;f>pOma?NRcV9xeFKqcl%FTK>qREDt<df7he@w>{c@!=uvIJTfnPxc~6z
z*g20{obl-9Nssy*_vl@$N0XxIBhsVQevb-yJ+itys^#$LqRpe87LPt2_GtD&kFxIf
zXx|?C*~N3)J?gjBqhFgCbAv}A>pTkn>rsbQ9=%^qyi4h8u}A&|9(A1O(dRiHEt^Fw
zGdwyq)uREEna@Px8|P8|F&_Ol(xZ99Jt{HOqcej&8aB|QO#MA__VK7|FOL%R@Muqj
zN6ou<^rfRmo7#I+udPRKTY0p$g-5lUdGw|+-#7HAZhenF)bVI@EsvVk@aSiC;+999
z!aPb**&|P=M}y0Il&7pm7fN|FtAs~YLOgm^#G|c+Jp3)%qty94iplNK#GD>g$nMe0
zEFSI1<WWQhkFurn=u&Er7N_*6QF4!xCgs{h9?eMLQH^*W{r&Bh|EF71zPn|7bt~Ry
zx1v6{HS3*Q_20Oa@|9cXp1Za3nOhy7xRv*jTTkx0b>OaBqi(xZ?WS9aue){jid$<g
zxz+Q6Tcysq_5HM4u_xVHe%!5YaXc2|*3U?{P6pgs>vL;>$E~U^`ggc>$L7{yi(4~}
zxYhQMTOkMB`m@)~esc3SHMgd2cdOl2`q<1^8@Ya+Tjm<KmacYd;7YgZE_W;6Qn!9B
za_jm6x9sy6_aC>0&33EVOxjI%EA>>jUQZ&<35+$)tz~1}8aax7N4OO>%&px2b1VK}
zx1J7g>vTW2EPaTxms`_%xYfU#TP?bBU1zrnbaX3Kd$+!{aqB@Vu5IC#vzc2vn$Tw>
zVr}5oka}))spD4TT5hR^TP4EXe2SA8s=D>JvRm&fy7jn%Ti43Db*hY8fl_YSN-)<D
zw>B4bYjt6_78P`Bc7C@e=XGmLZnuW!Bxl*(>Xp^4h|H`-Msk(jt(Iw-V`|1q=~lz!
ztXWdG>Ln&82@xNEU8?unrTRZzYWUry#$R1(_SvPDA6;tu-ldLjU5a?^Qm>aT4S4R-
z&}S}<dE(OKM=st!cWKc*msa0#Y4a_Y_TF&Gdd(&O6_-w2a_PzimmZvR>CG9Jex7nE
z`AHY|%`O#*bE#sCOLe0dBj{3Jze{7iF3oeh_#M!tL#9iSHriWUdVa*EKZjh(c+jPg
z{Vo}MU23=6r6D^Rf4fT?x4L9*cIn(ku3hg^!gVg?S>saJYWiO3((vUjEne!<{>8+!
z(4}YdT}m>~rNaL({%n`}%yenabeDEdb?NwImtIVCDb)m*%8YZV)fnbF%B6K9TnY?x
z>GA(uN-@NxvV&Y|Kft9a{ao7B$ECBqT>9F>rF`98Y82tps4gyT>cn^*T>8|G$J@Hp
zq_s=qTXKDKmo7JTDM1sL$~AJSdjpr2)^jOX$EEkRT>Ra~rPc;>tL~CR#1rOH?kcQD
zB_0cP$z9&1w`GaHj7yzMxwO0l<Ak^rub4|!inuha5bIFDrHA=k%9WQ~<#uUVPM1z+
zcPUvmm+EA3X<8<id>LH&k&ZTLnPX~~>?w&gxl5tRh(C!-wnQ#{PT*3d_%4n6>y-Pq
zQ@?*YRpW<Kv%WcX{EJhmK0B!sr&hmr>h@cw3cPV@z$>SYym0E<e_Z>_sku*_y70)U
z91or9ec!1=cb)ov+o?LYoLX|jsaw~aDtgtaQJ0;Hyy#Tg3r=-C=hXf)PW?FL<nt&_
ztv&A4^Ejuf#yYhi+NnE{PL&BdHQn#jWiRbLPEB+<b<W{bLDQ*mHmA;5`2MI<;}1J^
z{vg*JaB9jvr>^dCs`PHB{@Ll&{q6L*&8d}JoO-i~u{JujW4%-H);ZN>jZ?1GPGwo;
z)W{XgVHsmCb!zcqr(Q2~s>uSU4$LD5bDbJ8$EmZkcz&jnzqL8_ajH}8rqF(pQ@JM+
z=Xj@{jCHEf7^e=8aw_vk;vMePgP~3}_#clAb}H*2r=|{Y>RCUhTJ)uDZ{qLe)S@0v
zeeLE{&j{w!#mO1t<Zm)grSHIe+Bx;IjZ+<4J9Vt3Qx#hfe>0~tHg#%dW8!G&RIdi)
zsGd`G>pJDA?NmrDr`FeSDvd#0)t&k*)~qTyt>RRx%Jfswsp_FlS<7>6Ij6RiA-2-2
zRY|9kmLSFu*0!iq!;3ieq7Z9Z(5bumi6I~3<Z-HbZl_M=bgF(1r(&`>RWqwo{>)DP
zQ4Teff%wxq<xJ~T<ut^Timxg8n%t=>$(VBzr<B+!UqYvh1WrZ8BksQr9sli6lV1*<
z|KU*E?+)Gk>QJ{Y4n6tg(4dbFy?^h}xOWcyedFLB!lAUU9QyZ#L;0RNwD*}q<)1p_
zee6)ZM-E+h;82(Q4n4c;(8xQqx#iG;n+|2W;n2=&4pq47P~>F?pY3tz?gfX2oOkHg
zS%(&$aVXbmhYp-{sQL+q&K`59dz?cbVjP+k?NHVzhxP?|F2EQ*hx&LO`tEk{JB&jG
zo$O?jKJCP8b!d{sp^Qhl{;)%}4l$nt4vpCFP|AG{?bt&fyB)f=)1l!z97?s_q1{`#
zZVT~ja%jRvhq7#N$hywK-|roI{V(yab|_?(L&sJ))OWc<iI>sO5{K$6cIfd!;#=V0
zGbawk&2^~%KMtjs!#rjY&rIT<?$D}f4uws1=+0z^rcZLH$V7)ujdy6+IK~=F?nXP*
zbCg5LM>=$5xI^uSk+=U5*AV&`?9jJ?4s9LaP^111ed_Dbralfe=<U$Qo_ycKp@!WZ
z`W(SET^(xL#i1XaXxq`DHXR&F(4IcqIuy~yq13Gzt0imN!l9haiJ_@O6Pq|xvN5qW
zB$o{ws!^Yq>oUJO#8I2M)N;sIgIpQRG2EdW)wqt6vvyVDs^Z{10Ec>4awtbd)}?|&
zbIUtqlym578HWy+cBo$|>ZBy?iaU6pnK~=xP?Dk!1q(BFA%`jzq`vYybTFSo1M)IP
z9)}+0a%gi->L>^OW_Rd%R)<z+VLq8z*Gvvw%;3<n^bWO5=TQ2zjGLOiQ#sT+r9+ug
zICM3cLu-;c)G3KWxf45dKcPe06A(*$hf2hA=<Od<*59Va{W4Ykr>O)#OdbDbYVlW7
zZN8Yw`PtONkEZs1F!?-+sjzn@zbBeH@!Hh#SEf3@G*#$@sW<<bay~OP<Eg2pPfTTd
zZ0gZNQ->dznt0z-{d=Y|-ZgdqwyA@+Oij3Hs=*CYS+1LUe3clk(Dt&amX}QByJ+g&
zc~il2rk0*H)#Hq*@~2HDJZ0+22~)d|n;L)2RO2{Pd16hyk2Vz(Wok{Nslh>0H3FtG
z`%S&@nhJPKt#q3j=;CoF<2g*dwsXDB)OxF_5f)R8j+!cP#MF;NrY;>cb>M)h+51g(
z+sAzO689e3>>@8aO>N&{YRYy~owk{(wAJK2H|D;{)Txc8_H3ZtdQ-jDnX0+gRNghF
zey=uldzC5AN>l4rFz@BGU1qB4Qd2pWnEJVh=NFptEikotzNzW+Xg}9f-G59Kn`0{F
zZ2F&R>f#Jj=5+d)#`sgYW(xV6Y^u~GVwh;^+jvuV$1$(5ruL6vZAO!$QKq_&<hl{2
z$_{5uhOu@-$;%MtIoOnUkf~h*$?*W<>TjxdKU2;75?dcrg?pPy-;4Nrn0nrwymvDd
z6~TITHMOCOsd=4EjqPNrPe)U&JD94~-c-4EtX*4EY1^3k+sf42mZt8tFm<juYuU`y
z(Wa)hH8J^pkUTY_eM3_N8kp)*pK<HaM_p4D>zE3uZ7O#y#;<8AaShfboW814C)G^d
z5dBp(6&prQtC+G>rZy{?+EUTfzoDj<R50~Vc~eu%(SKP}!^$v5X;VE*QL80QwJpI|
z#Z5H~F;%;msqmt#aS>CYg-w+yWU53#Q$-7yDwv=3%V%<5V=8+d>LxdJkc*gdGQS+A
zQfD`nDjVyQ)l`ZsrjlnyCS*hgr04N;JfD{9(r|rh+NGj>O8QAbeI{o;lCi&%Qo~71
z<xfn`6EXLMtZ4#r8K3%!XG(wVs`1CpXG!d8{L8MEKkaJ&!>+F1?dtW-u7O|e8vezu
zai8s)`pK?;KH9b9gI)i=w`=n|yY{@b>*yQ1+^_A5er4C0mv&uyVb_D_cD?-1t}oB*
zijP!J?aKPZu7Z#4D)Y!LJ+!O-1H0PXx2wlJyZ(3Au8DW-d={O)Z`rl;rd`$>c12#d
z>-;sl?p?L(%@w<TU$!eXa$mBm)J40hU$Cp$dAquuvuoH{yQZJ9YsG2WpR&tw(ykLH
z?7DTFw#SGAnd0m!8q4@Gb~TS?j!|}vjkIfF(5|fkyG*}br+jwZ_Y%8@xKY4uR}~l6
zJMHT0uxqku*Gjux2W)o5SnaxPvFp=Ou0`P^c7-1%hlhygpk4D1*tKK7UH*M`UEgch
z$31qXLC9{q>g*!!oy>a&bKcH;x7l@Wt6i_Q*p(bbHrrKulU?06+BIc^T^rVu=XLb6
z)~>H>?8<_Q|B}Pic8y%cyjRl43cD^XXPjls6&07-)ouxMTx{2xMYLZ?ybJ95GvBU!
zs5Q^7K6CAw`;T4w=h$_2wp|})(Ko8jv@2qUT{EWJwR@Ufr>ENWehSZ_+GM+WPNLmJ
zyADmT>+*QJevTtoXgHR+k6})u?Fx*t>)A-V(xUPR<}#c$9%h$iDC_b+yAq-F5W6}I
zW}HFfbf8^V2e4Ks*`GZ2<MF<B9qeP*jox-X({5L}Uesq#`su-Xb+_wLH@niIdW2nr
zy4tn2i(SV$+x58<^@dg*sf!MF9cfP;wIlxsZ%fU!v1?On=G=;Ww4^T4y@g%Nn%foC
zj2t#)J<+}iV>PzR)5xyZ4apl?H?V6?eY;%sSg*P~hBkG`M{T>jwd{IVleXwogZ*Mq
zC*gK|ug)0gQ_ZgRvg<-syOJV2%&yT@n0saBQpv6yXjPHg2_=pScKs-CS9uI7M=h1L
z>rNTg0L@DiS1I;gN%lnv@{8fc=_iDo7h^5ZwJ7Ueg!L&*j?knKF%~4A0(Qki_55~C
z$j4sEOAY5Cw-}n6eCJ~S=A=&1FNa;bvfK3}n_Y#_E2~}Gve@-7Gh?7<CVtMy&l&g`
zz0wnBI<8Mk4WnNgyY{B0zf|m53{A<Ik%IA(6Eh|xv&)y1cu+eDXG~)DU?OS;trJp5
z38>llcI8Lkc+}}%o8JAgsUjx+wkh(LO-a%8r%fw<*mU!|P5IIPn@xwm+Vtg%P1P~`
zvrT6{*_0VwKiahOgH3PV+f*6T-r02GtxXxw`3=v#w(0FFo5C>jCGB3=lnuR}+jQtZ
zo4!A@sScJrwdvLqn~GxOW19kxY)Xmt4{h4<z^3>2Z3@SNdp2FaYf}-7x?@w+ZJW{|
z;+9PZZrXVN+oncXd)=o0t`QUFT(#-y7206TWt-wI*^~u+FWTg|U{f-5Ja5y!bF@Ee
zQxj}DLvBvnR0}Il+4S@zbHKtAHr+dJQ+dojMl5kQmBh4In=Z%LR1A}%Z8{%iQ(;Vq
zwCP;Xra~AWu<5Ly?=iv0HC|%EB#%uO-8O|_n#-nZPMb<&w!@~|rcI$(Xt(LH&8BKt
zX|?H<#iqL0bkwG=M{H_=y@zf5o!q7_hiozrk{1j-U{lO~oAO}XKASG>rEkpJLw~z%
zGO%tJYrE5?Ryef7rWEMAo!oA-DK92%wduwdn<`<&X7aMhre-*>k!#U^136vKyf9;(
zO%K-ER0EsW*!1ULY6RZZHs!*kRm^E6^T37`HvL-8^YAZYEKFNU`z7QZ+ZWrE82uJe
zQwwb>fkg|br}@MR`#fq16X)7=_aB>TV#gfT6N6`y-&y1iYi2Ue44Zl&ZaV#7=`@=@
zPqnEN0#jHkESOB4O`_)Dn`l!(%%8wx<8A7Iz&O?mi^kgYX$*Nr%xKmhD@QTLNSk`&
z^a%D8HVtP#Vc0P8H<USH|Nq!Gm^#F!=Ywr(4c{Q@9?J*X^m_pL#HIe!JNEXoDHEpk
zWzG8#2V#2LR2Cb0F;|T4Y16|VHZ_O0J9UKB-E2yT;StnpSN1eKU3d=vb|$YF)ybwu
z9mypkJJ2UKx3?(`rnF;Ew`E`9Y#U<1q1Mz9mb9`d9)`DM+!o9MG0mAXb~m#rI~Fu$
zE=_D2iU*Ck2C<E7s)GFu=?BXi*pvuk>)Z6A9%JERU7PB`U57fww%Y7fEU3kp7+sTV
zYuMBcmkpa5!XM5$V_$Wf@?mu~n^IwhZ2DG}81OWVI>Y5EHZ?|6W%e_URw5_ZT9LT1
zEYzmtm|lUisk}`i@Uk51iaTX(YKL=WY-)hW(l!b9QZ|*r-jdV|HkPm{E0!0xDK+MX
zuojq7j6RE!cf2iP(;z%6%vp$gg*Y#9tsuF=xdNO+IFX-xAUYp=3ckEHRfRJT`w_O>
zoJBa2i+tfgPMeBjZw}5P?9NWjVrMq?C$?v`sQ|WR;VZUf<}0>k;w!dg<SVvk;Ck##
zPkZc6M}OFxmi}=d4ddZRYQ~2x74g8ClK9|DLA;1gPW(8LjQQYPQtAy?l5pnYPGa^Y
zo+Pqq0A44guJAblXC(f{w`mrVV{ts2GGfhNt8!!eAFD!e__tLR;rV4%O&t4a<u%O8
z-|4ODga_ZP>W{bItQv#gU#*&jlvwe_s+`#V*{Tw-ezHo4{%BQWT>4;D7d&}y)&KDI
zot4)(tCC~+TiRmh8>`B|_1dc1IP=P?_IU8pszLbtf;LEr)z7VbR=}zQ|5;TTQO}4K
z*PmL|8}FW2H3`YE^08I<aNv<uRS^5os#du7z^cLce&4D&$cQcXtSSZ1U8@@6+8wL<
z;NxwprXwvj-eQh$-{cxxzhPBBe7SDbY-GarYgUy<)K$j9!z)&eKmshkY*hhRE?HFz
z7cW}X3!g5~9$B#aJh9@$IdYGeXRVrywAgyastSlbO@8qFlvNXv8e2~C9O6z`)e*0b
zTlrj@RT;4J7=7Y&oR#<27%$eUxyXehF;>;V^=NW}cvux>RdEC&t!jhkL93=9BlZNW
zydOvGerf`LeB>F$5%gNs4zD~`%|JFBc3V{scU)GDLP~6NS`~)#4)TXTChLmQh_hQ2
zfiE_z7NZFKR{F&oi&g(1A6!StFJ2y@7Lgm~VXK<sze9|VTrdw>)dDXLa2@i%xu3Rp
zwU7Q#0KUCeb->3xjEfM&?6#^Ke(WMXl*iefRt-cFY};W~IBsrdUmybxZ?mcio^PeL
zP!Pc_R&~XX%~t)3P+Zt#)lj6y{*BZVo^7BGP!N&p85_UXS+xPe&9zpIM>aUtkQ03V
zm;9pwF0Q85kO7ue%n=_}Qg<kiiz|2@8DL$`+T!yv=7!3+zLfrv1D+-9Tl`*Z)n?Sh
zqeaArqByaTy@}K~yuhlK_&A@w5Qf|Hs6P}y>|AOEDRJl@uEnQ0R;@ub+@H<bpcqci
zvT7JI!8wx{5Dz<NSk(w`r!!xK;qEl6W}+C*Ol5A!3f~m=6_VrdWUJcZ=Op$I>f`l9
z&Mk!D-UQYOrEqyX`w0bbVjOWGEBs?Q3y=!7F~o#KI53(V;@2pvcAyD9jby!02d_r3
zmk^F;!>wA1FgzS))dGa#&QQij8C?G#b&Ha?I)pP1#c_Es`wzu%aS-Plis1Y};zbc$
z7{KEwii`a@Gf)hd`q364xZIaMQ4-htkaLv9?cSUR2*v$gRxLyoJnm`LGKAx057rBH
z@u534fhPFg&8l5!jd(Z|L4J?|&aPJVMJ7abA)m;D)19rFfMU4XiJC$v9(ANvQ4{Yv
zFb108cYAV;&PV}QJF5mDJ5IEvW)XrLZLFGyFg$N<)mk*f_f}TzLuaIduO+WV$cytW
zINwnokD60ksEaSnIP1^}so-x){3w9SO;|Hj!HdSMH<}?HERCoYWW%Y3<R0blxB+_~
zjqtlZ=Pr673r^Hyy-*HM>Jm4aB0lVOm@9JQLTz$|FublsJ)<2`B3RSPy&d&}do`E`
z8sd+^UPpiA#>H^f8sYd<oxGqsvfy+z>JL@$M$|MqAsynX5+g$KGK{ki9gz;lsxVJf
z#H-4@2BH(v<9H=%4ps23A~{8OWW)JTVnGdjt3XcBANg>-Jhg{LNC<B^=7-XFR+iU0
zbVLT6Dnl)!I=+-<&tm`z;!Y{@j+RJ?*pi$}2*bw`Rvkn?<j1Yz>{qlvO2maw8>oh_
z#aLSmK`}fkYSkumL?)ao!k$KbBt)PvdlQxMu@Es~5Q^eaL24VFkrkH;ShWOAkQ{OO
zIoD7Fzw>dwfw2h1`@HNi3_>wH$-`QpJM!RmZmZUz1G3<9F7^~!APr9Ev}!&YAPHh}
zFcxYdK7!fF55n;~8+pe>RK@qK>}iZeC4A1pd5BR6#iz{tj8O>1r%e2eQ3%DSjQosI
z2*sxi{EX44gs<u8ALCIKKhrTjCL<hw(-I%1qZSe(CJlQ6^^qK>Qd_kM&5<6LQn99J
zkL<XWlKVJxLw-C;!D|cpqXgb0x9TWHp)!6X<GjE$)J77VNXi+B=E#66NjMwP1^Mte
zF?Ei?D2q>tm=`9Y1`^?TLi#`pWWx0XoFnLgB6t~}{eaP^iofxgE9RjYGUEDQi#DPs
zisIEDi;iLpsv!Z6|F&o`+8_t+|FUQo2BSQ_{j|uBS!jfGxcbAQ4d{j9c>moZC#Iqv
zQseSB3;!mcu@QoIUoCQA3hE*iE`70R9eScTK76*wjTvZ!47mBpqHP$6^7!%5qA1Kq
zE9Ah#4;Jmi2ndOA=Dmf_NLbVj#qj<eePbq?AT#d1wP-hnAq)v{>WxJ!5rJa(@Y*6T
z=AZ>~;PESq4q+T>Ar-E^v}g+kA{2jKkXtNA7Zk;Z=N9=e7p;*8&;PT?hN)<T%((x|
zqWu_ynn;CfPssy@APk9d;R)-D0jP-hIP=(|wdjL#`2EPD6Ig{FD24A2E&Q%y(K2*J
zaeRGXQ4E$L0wwV6KG$J6x}hY#-?JzVE6^RK@Z+vU$FLGTPzJy6kV~vZKU73QT)1t~
zW()y;kWg}5yJgW%j6_YO#hshv0OQdBS@HCSMRv?WYZSoy>lOvE1Q95OU)LBL>o5RS
zkQ7(1G7d(e4)}iq^!N(-$1Jo#A$+<_F0c~45sE~(e95967==2>gvS?Yk6CDg!uWE5
zd|(X*pej=0_IZmAVhWlgAKss%p0NVGQ4vXS?W{$6FdmJN3vbRaS1d<wR6;V`JZ;ed
zOhF42z^7BJ6V_lLsv!;TpR~w=S!jn4{5oOLIc&pdG(b+gIc`xTR-zxOA~o(Gv&f1$
z=!lZ|8)wl)?8G=UMqYf3B^Owap{R|lco}0+04vZBLRvhE=A6I+bVCIs#jPld4r3<T
zqa@<vY9w`nX=sb$_#0%cuoqL%8pZHCK#bUpNoa{8`02OkJa%FNnxim&`lwgz#$>cc
z2>yC4x`O?fj`k>pgt*}$PRvGUltWV7ag#I5LpM}JDm-#=E@2t^!$20ic2a{_j}d5y
zeE90H=qz?(5?Z4;;^Vr>*qDQ^2t_J9wsVGIB?hAoa^aKBqSM%cNoa$TNQB!~>KY5t
z8`Y2ruPnrc4H$(cD1_ffSqmJ-T=YOyWW=i@oFmwTv1ox1B*3l1jDtn!3j^8k{*Xl{
zu^p4p7NwC44-YaQti~`jLLvM)Kn`HRLi9xq<iMx><PCc;16@!F>F{D7bHXN!Lo1X-
zQas$tnT<6ViDn2vBHY`<+F=!jp)raeK5p-(j<Fm=&;SMTXBRaB8<t=o>LMS0?IeEK
zuoQ#Q0EG|_w|DS5i<KCLCMbqPxWAp8U=2p01xg|r9&h8^zy^#%8<a&VJm1PWf$f-v
zuBeKv__T%k$0000f7C?*{M}4EaA7q@q6JDJ1)gmpr`U=q=!`1JjE@`X7l*M3gU}E~
zkr<CQaPD9;CZjXLkQJZTbKiiYSb`yFj1VNnlXVtFV=JbjD}?O$ww7}hCRSk-TBAJD
z<J}t0K^(#&3`S!VM{@l4FJ~EcVK#cBHVPm<?yu%d!zN5d7YI4<eHH5t7uI4tIwB0&
z@qH!F!-cgNkB$gKc6?vK^KfA;#-k&`kR9Kb^E_Nwi}C1)Fl5K~WxP(ngAJIB2pGtR
z_;|RK++hc1qc7^C7?R_~5?)tv0E_THG)Gya$A`tN4QyD2F=&q}$c`V2s2TXN1vAha
z^-v5c@M<CZ6i2WeqtFgjkORLKaNmX?wqX|fq5+B{72eF}Jck7<F$Nt_6}j+do<$E3
zgWZ^qA!vaL$b#>4i4_5C!))|NW0XdEeENraf*Tt#4ZTngAxMR{b9l{x9cwTV5vYkm
zNQxJ;nKLX{jR}ZAEfhftyqQHmFtH9(&=d7g9BJ@jCTB3**n}DAi$*Ao4EQpGI)ESB
zFb4zC4CRppKc<soL}L#YVFcQv8uB9vUQQ#=uwxyjqBk0%G&17bR9^cKh22<);b;dT
z9}?rm6!so$Sc@s>g$5{v4EQ>kH9-{iU@=Ca6KbFcQsKiS&QbWW1M@Kq?NAK`kPL4o
za-RS<wqOnhqZO(k4-(<U1m+178!!X?(F~!;fp~a2p8IduupToo04-1%d5{>d#<5S}
z##YS5P_#pJ6hcaT7|WhU5WBG$qtOMmQ5@;<Z49qPh{Hjw#6<K&LzG2U{29&ph|{oP
z17=|`+MpT=Ar(H2BG-t)0j$I%^hOheA{P?j)kyLPFLq!dMxhJppd>Qk*9cyVa2hsj
zz$^?#8&pFfq{64+jE@)`#A-}Mf3!qZ6hta~9!9<57>-~qW?&H7pgM{mExrw9@8cw_
z*nrviAKIe^LXZJJ|3|zy0~4Du7sJsBwNVn8@n;CHc{mR@c3?5ap(mQ467nGhJ`E;j
z9ESxPFbBiX33X5!*^mIQ2C=sh#6GOV6!b?cR6`M@!;gW)jk9oK8x~>=x}y<7kq61}
zVF0;C9FAfG{=o=zMFUho9wf)7{?r>z!j3IifHCNSCa8=8NR4m(cumJyxUd6DFadqg
z0zwg_$FIKR5*Oja9<0C=3_u$gD2~jChnIcG4<d08YcU(c(G?9*5&4lC-+QwcZ~;E-
z#VSn45OhRcltXSL$LC(u4$i=Zomhs+7=X5@iBiap#CYG6^A9Ir$5t%Dc=SO_R7VIh
zBR*dDVBaGaN3jVDFb;jt3I<9dJCfjIckVxM25#)eN=(Q9&>0O-5e1MIzq)b%hpULj
z5p2YKj74v>L^w(y8xrF~1nZB}aA6l#U>b&?6Y3)r`H==cyK?`8D~Q5jY{UYLM?bVh
zZInY^q{h!K#E5H%g%w+|1d}lc9Z??@Q4s0zw=;RfEu4S@JFx=OF%(_V7-1-i%t(m$
zotPiaz=OT`7qc-EJ<uH0Q3BbK6rVd%=eU3X4q^iqU;+l91L~s^3L_H|;zI{&3+EBQ
zA#B7#OvFHRL<3Yt5oAUpd~DCX8!jM-!`OsHn1n&-godbsqR4{8_|%S=aS@R?g3VZr
z$ry~zXoN5nLslfg=eC?PxP&Mi#TG2ZGz>#`v_K7%MLwiMJiKc|&Eh<QID#!$ifI^z
z?r4D;D2seZhj@6`n)W!4AdX-QmSP%)p*vcj2FfBI(jgw+wW2-FBZwo|f~A;-Vd#z)
zsDZM`hjfUCcP(j;^9bSywqPlyV+4Ak4eFv2iXt15<3|h5E!@T#_;DCpunaRW61~wD
z^-vkbkR2)TvpKH~xP!9@;0U&2Ic8!M`k)=^qY6Th11a&V8G8kHaSlNo#Wt+KER059
zv_}Jkp*V6P6@EA6ehT++9+9wMJ62*2#$h13pc!hQJPIKTlHo@a=7YO9k0{u%3u`bR
zlkh)uM=R7pB@{yrq{5%ZtPdXIGUDLGK5W2ZOv4EDMmsb>Rg^>?q(cIHYQ()AuHz)U
zID{=&j#(Ik{^*1z2uE2IKqe%?w}#wH;x^7A2n%*#HRfU>{)ZlDgZik7QpkslNP_PT
z$P@12B4Xjher&=r%)(d<L|3#xZB#-Cav?1e;B$S>XWYVBM8byMScgTJhLPxtj%We{
z<xv>fkP?6DafaeCuHhtnID+k1jd_@aq3DUWXaJ!!@*@+H;zwQT6Zdfmad6=PHe)$v
zV?2hS2il?`s-qkVBRf(fK0epsbp>~D0kLr5Ahu!^=3z31qYpZwDQco3LXaEjkr>}=
z6DJ<v3QoX>qu7bHScK^qjREM2mZ*y`ltO-FMsobFMK19KH*f}#uwySaVi{&*JcghL
z+M*$<qZ|q&J5nP)KG$UaxPuFbg$oC<6{|20lQ9DQ&;>0~4?<ZKMh>J!B7CpGIe<sF
zjx&gY0|&4btFZvnFd75V4Q<d6;i!OO$c+q0ieCn~z*F49dBnnv!`OkfSd5t%hau>R
z_Gp5dsDu*8hs;QUzv1k2JjY#J!g2Uu!ES88GR(n53_~AuLUYtX7)qlcvLQ7R;A?gE
zD<0q~P9X?8_F*$tVjiYoBnF@x+M+RPqB2UMAhIJZ660qza)W2MgG)Gp0PNV0t@!`{
zv33z=VmyYT4?3eI>Z3X;AOv}l87UDTUqy}M5pLidV&TD2?8Zi{z&uRFXbeIRv`16a
zMi|PVFmfV2lHzw&?rHEG_izQL5D5nkVmsDi31(v=hNB<4qBR=AKt+^5eq=>zB*gbH
z-k-q}+`<JMgAZ2h#b&I+0!+tP3_)*nMk_Q#4OB*H6h<y&L<+>mw<?T<r?`X5IE5&<
za0I)t39GOWGcf_f(I4H=4oy)9LV1KBAF?7166058a)=jrfa^GiIQU@0er&^9EX6;V
zg3%a^Ug(6DXaED1Pzr^R6B&>k@$j`0dmm458<%hrk#OQLc3~q{VgY7gJcgkkBG491
zP#aZI4#kicS&$lu@UtTK&3KOcxQ4Tcg%?)r!&a=p63oG5jKU!FL?^UDBh*4wlt*zC
zKn`R;3M9afP{zdzJj6|0#7RWK4GZ>R8`fbt=3@pXU<3xDCpw`O8le`dqCASD0CFG$
zQXm0-RA79(z(d@`MVv$w+^}FDwqYHXV?JhJ0!CmUdZH6rp%H4KD$1ic3LpnEAO#ZO
zM|sA_3p~V4T*OI4!3_)cVH?(AIp$*qCSU{xq9;0`6&j%ys-irKqX2Rs15zLXew1T;
zyud@;#6_G$6x^_2AGTo~mSa9<U;;*9AbO$`TB8Z-A{>=b79l8roXCXKNP@p*+0%HB
z7kGr*xPr4dh9F$9U_W+XBUWPx=3+V~U?c{k4<gVWEzl6PAcUe6iXbntAw5zcA%2zN
zbscZ;4EJ#Z7jX(P@WI4k?7>#7!wM|KY)rve48s8QL}#=?Q`CcjDkz8ID2QChj5J7!
zc=%qLwZcn0#vNS6IUGkM+_2&Rc48C$#Zt_}3{1o*3_)LXLkF}(Bh*GUR77bMMLuLl
z2BbtH{4T|N;CPGw@BlY)38xVYKO8uMz1W8JScyfLgQ*yY;TVWs=z_Lrh6bpGYN&*=
zD2_tNgKWrvR7iq&_)(I35WK;Ec!=A$it{*$82I6Y1qZMTTd)o*u^4kP1CuZY!!QuN
z5rGb9g(j$n8mNj;ltwWWKrUoKI;21%{3${0;{#sdDemJYF5@hYBMM%aID&oHflXM0
z<yeS0n1%@$h5w;HdZG*3p#>VD4#H6d<xvtvkPkVK32BfF3Gk~p>y3AKfycOu>$r&1
zh(i!=*l-AYunilq8cQ)BvoHnYFam?o7v0ebZO{x2Pz%*i31v|ng^&l?kO8TX1o7}A
zg!RW8{D+6QjjK41lZb&IPFQdNyRZf8uo8<g7c(#kV=xQ@(HjxyfL3UNdZ>wNsEqO`
zg<>d(JjjkrNQ)FmjClB2jQrv~Uf~%Y;tsCk63*fTVi15Eb{xTe?7~)Tz`t0IMVO13
zn1b;bg`pUTKIo3lXor?)g8Hb1>ZpPWD2)&lLSE!RW~4((Btd-qD#|?!KHxR}!z0|q
z4P3@KoJ1^w@W8}T9KddD!$z#Z3M|Gv%)(Smz-SD^AoN8KbU}NxLQ^zAZG<BXp(umm
zD2#l_i7ZHuR7i>h_+5lOijR1M=Xi{JxQQz`k5h<4B)o9If`izD?bw91ScxT=kJ*@p
zi5P?77>s`CiLU5?)@X)?r~?C4Q4wWP0!5G?xsVkZkQ&L55Pu5uI)YDlix+r;`?!Ux
zxPa3*hA8;pgcXOd7dx;S>#zz-u>f;09g{E?BQOO0(F+mih&E`BMyQJ#5Gtbr%Af>_
zq9F1jC$b_V(jq02A|d`3V*lVPKH@E2;u#*{9&X_pF5w(b;TWRPw{KtL=(|2f&53=C
zEJ^wpWtR0e7Uk+~l-bkE$Q;_sFoHdegH3uG-EQ<S+Vt&VEd1ErNH)E@aV$-D<M@Vd
zMye9sj1{g3qf3Jbqu;fzhOKW`qxP3BMy5Gkj3QaO7!!7NHqut^Y&<#E$@tZwlhNiy
zN8{DRjz(<ij>g^19gNE5I~eC<+8cY@w>P3*v@>!{X=hl{w=?GLY-?-|YioQu)5e(F
zvyIW|YincB!q$d6e`}+@qm_}NX)7b=qn1XG@hy!fX<Hh*cC|2eR&QZExZK?6G`P8u
zHc@jU{)T2onb2m&y3<XKnthrYh5j@#YX95B*i^QO5qh$*k)(HHBjcY&M&~t+jJxF<
z85_<tG*<R+XdFw}&<Ne!z_?wtf#JVe-?%xVzEL)9eIu~Ho-wyUJ!Afpx<>4bx<=J}
zb&dagb&Ru}>lm-U*EZ^|scl@TRNL5irIxXAR4wC5##%;QYfa;ItD45?4>gQO%WD|r
zD%3E{ONKFGlwtJAY#2+-aN}+JaAVH*>PGAJ)s1%5s~b!1RWtrfuV!p7RLz)jOvd7Y
zGA^Z-(d=kd<4>Ea#-ndx#;*-wMx&Zx#+fHoj9K%m7(>fcF_v7eY&;rY*%+9&vQap;
zl96dpC8JXMO2$G*MI&=WMdL!EibimMsPV8>s8RVx1;f9!f-$aP1*7--^2Us{<&BFq
z%d<Y^jASdy8E;h1Nc^O%(QI*9<9Ow=#>fX{jOGi<7+orsG1lEHZ6u#x+Sn6X+8B4Q
zlre68DPvE?Qbw`|C5<%;OBx-jlr$PVE@AXrTEZ}^l`uk|7dIZPDsK2{6*rE*4KWgI
z3^4{Z;_J6!#_^rS3~%dV#=ZE(jIu|H8iyl_8eLKsH7a?F7~zA87^89&F|M5`Z1fvn
z*eD!Q*hqJykWp-2A!Be@A>+>Tg2u#k1&z9m3mVma6)?ITEMOdpC}4!7D`1?D%x`QT
zncvt}IKOfFT0Wz|{CvjtYWa-jZ}S>Ox8*g8x6NyGNS4<);>lxF7@Eg;P#}-tx|-YY
z&d+T;56^AX_?XLx+?~r9+$EP$Gkq?jMqEy#|HPbzyKGLQ;?o?)jrBQ<-7Rw%o08@*
z{J!i)(oxxsamBM686IRauKb(L2sX=RTuPkHNbAdLj2xBK_*){YVSSXvSh7BgvAlH_
z!<RCPkuD~)F@I8KqeR8b#;4brjK{k&89%#aGQzTFGB#bzXoM`xXxyrs(Xjo^U|3xl
zjO!ya7==n_FjoJU-YC62z45ARdgFYy^u~=#>5ODc(ivSFr8BN2PG^jXOlxRzTBC4S
zS|jvx8l(TwG)Cl*G=@<;jq%`VYGcp#)W(YLsg3QqQybTArZUQ`No5>po62aKF_n?w
zLQ3Pu;*>^`rYVg|DN`ErPNXp6%}rsftCzy)kT``A7L(klJ~O$|yH;}JQ2gXZ&d6lO
z{%OgKh#JX^3h|N|C4xzfy3>*x(`zI(?#D}N^oUGiB$|=LI8iH!aU@|9!xfX*cr-h)
zQKo)kV`H+!M#+<jj5`Yw8HbxDGPb2nWSAEc8ZTEQG-|d>XgISaG+NwBU?ks^z<Ag_
zfpNQF0^`fm_(r*X@r{K;;u}fJ#W%Knif2SP;~7;a#WO0_h-b7&6wk=A>~Hv~?0>_9
z+x~=qD)A@0ul;v;R^xYg(i6YJE4Ka>zV*(}@W%arhFAFbBfR63AK|{_Kf)tceGjje
z|9g0cgWtlBhJ6dK7xy(hTkHQL>Aa(A{{J|xj6x!!tV$tdM&h-Qk+O*r%GX|@tYkH`
zCoLt4hA3qh(Go&b5-AiB%E-#*chC9#@j9>j-@WIa_vih7-Fx28$K#tA)-;KeLzDdY
z`Bg6ae3h&&U!^JGi#QDbBD(pXrQNL0GP35AL~r;cqyK%Bj=>+LukJ_LoZcvZ#xzQ9
z$p^Xe-v{~f>Afu5`(D($yqAy1-ibQAlVwG3<+I&e$@<tJm-jZvSFHwFnNlwrW9sGe
zy*JWs<r}g8^;+Hpzm^ldUrYSOS5h|pmB5QSsn}j8C)?M_#l)BL8(+$ndoQHV>KD?s
z*$Xj@td;G9Yenh$bIDosT+V!bCRKsYWOUzWQj}dIVb(RWud!OL`c}&TgKD{U`Kg4@
zdn!?lPo&iEiEy7M@+9Z6oVI-|7r$1?myjx1I<QJw7FJ5-(n@*$?~(M3c_jX$9*I$T
zh5U7_kml_x1XCYMqQyfQ_v(SP_f(X@0~woFF7fu|V*2;K{E4|QU+}*4s49~!E@kqs
zYnfcUcux}M-;>-QrJ@#HDn3vuBdSWI!_E@v(X&KsvWum_zF6#)ie*6jUFkjXu1tG%
zN0NN+$l!r@<i*`0x#?IWPc(}}H}kfHEVwO0{@s$_M{mjZNw-A5;ik9*-;{sDZ_1g9
zLJ8efC`a@Q<?)RhGST6NRCT-|hcmBBkll4jX>nb?oVX@yW?d7t?*&qIxIi9EERa8M
zugc7@t5S?t#icf1X8Grf)$n|Auga6h9(nTLz&z0?&y{z(a^*|kT<KeqBktRCq_shg
zWEEvg<koCCtd}jtx2}lMmMd~v_lo>?>$2dM%Q8mqvaGwEC0Dm*$prl@d4K1U<Zr(u
zIejk4%hHQ7V)sQ!9dJ>mJ<JrXy_wQxSf=!Onjx$GGo*Y}hODW(AckQVM9u7ibZtB@
z(+{7Ql&R-s=&y6~`1m<FWphqaRnAHAg|pIi#aZ$1d{%m2J0mYPpAp3zAdl{!7In|l
zvfAXdG`u_|p%JHKiTNq9{+=$Ij;G6c+jQxvmM$q*(!_p4nvCw1CZozu$|BE`l5BcX
zwChtPEhbe~&qx&u<y4t|K1G~YrO1u$DT2i(<i7g}*+24xY^gskI}ab1<k`pNd#mHJ
zE-P7DZcLW^-pLaG=$Ir29h1`W$3*8xk_4wEiNUfYsp^^}7m5?*yl0|3#6;=&DM7rF
z6QrYkg5-5hkkF!d@$rb4IEa_3k4I(H@uQNt_^8-w9~Iq_Bht#}h;$fxMCf~*_??QA
zpR3{|pjVuXt&Ei}p|PSqHC7B;#>$fH!;-!2u+Xr>QdNIQViFF?Zo5O`rhP~f@5M-c
zK#a^ZkCBH;F|z0KL7BYmpcoq;6osr?RwhTwnWfR9qZ=(JDx+jxM3m^yjuLhCDCvId
zfK2u}AYo<)q}jhn3CN0+QO=Rl+$2)oe~geHX%S+uE<)DzkC5`Za9NZPE-jXX%Prk-
zNq-V1XAg$SgZW{itsN%YAB4*HuuzGZ6Do5$hRWd5{n9UFzl@!+U$(06m)m#ti3IMG
z;;H*&x7t3LQWPR1143lX)DT&r79uB#f<-MbSOTU6OMmrX#d8xRmxF`k%*-IUrV%7x
z?*)okSfHfN4U`dDf%2##K%%1q#Cc(WY|;r3{~CYAe(En8%l&1Kp}(}Q_mfkpezIwU
zpUg4#lNn!qWo4$X9Ngh64dN@-%Dz&4%||?ZePsMJAJNtD5v_7>F^cjQ+eO}z*vnhm
z)_F<b2`?G2!Aoj~dr8K3Pf5DsDW}{$rQF<8y0r5Yr+a(lP2^s2S+rOB8tj#KuRWwV
z%|nVddq^#KNM|Jv`R|6i6b8DBg_XO!?B*^9pSj7}WH*_+!A)#Oy2<uGu5zZpRayqP
ziqjld`O(c)hF{ww$E^0qj2F9Qz~<dDy2WnU5w=Sjd+(A1=Xc7cNjt^$;SR}NwL^yg
zbdd^w7fJ8wA{W!Q%hz$+W$ArqX};1~%71K=ihym>PH&rRI=fZcns1f+m0RTQ`YrNP
zd5c&_ZkCrun<YMXlkA_nNzT+eiL$GccyxA>5h;$+Wt^k*d$>{7IBb;1%{R*K=nXPs
z*an$dxL(}s*UPge2XPE?kfD7YL??Tl;JkI>{eG<|d#{yL-L>MGxkdtKt&ywstEJ!G
z)soe7wd~ATCF^Fb62FF(^1ySY%+y;c-!H9@J9Ae^N#k-+3Ro`ohRdZPf0-oMEfc?=
zOXX0+Qh8#$R4j{^$cwd0Bt><J#3ueHIcEQfTFqkd+_hMYx-XVLnfCH)p1t(>Y9~8F
z?c~oeJ4q>7B%T`<iJ$r+$vU}Ew5BbT*tZL0cEAD|I&gtNk*#c4XDh{Owqkp7zI2#A
zUmD-r$gf}<88*yD_T96V?whTpq_ef8XUvn#`SYaV*Ib!=c&-$Wohz=jR<gj$N*4FG
zlAxkFQnz7_tn4&LI%dq4I@{S&`*)VKj-Mqq=Ch=vVWv2S%oGJwRR&ki5X(I?B&hcc
z`E_%;glw2D(>qU>5n0p3?7wN^tTIg=oSZ5Pt)@zwUsI&!$P{@xd5W}Xw3JzqmU3Mz
zWl5cd^bN8Qjgb~&@N}{)^qMS}2Tzvq56$J{9&@?g&s_3LC&^2fNiwAOB#FH<QATc?
zD4+Ev%7a@Iq-OI3>7YA7R@@vf&o_;iy*lG%>P<6&&1N!P*GznFjgwbf#>u)~<D|=-
zu~O$eR;qfBm9HgZ#AMePiS9o}dOr{;a~C-_L?rGpOSUgdGgFq8FGxP`BZ(hF;`|Q9
z@gPdD1xo2R5Yr@(JS&h5%|XVU87-#&jh0y*MoVzcDEYX4lx)=*CAxP_<?Sw0c|6Ee
z8lQ|5!=RDkCL`tVdlQL`HIbz=O~g{kM6Aw?5Vxfxq*QZ+jK4lyDz*)mkp9DEO_i~%
z3^W$6F~(B(ahMED7$#@t4HMhe!=%sUq0(`~Q0b*VRA!eCkwl*%(v^lt`iH@?GJdd(
zvmPwecCgIP86=UL2FW+WLE`*)pmf_eP@Ya4C|7?P$<1^lX<TL`qq-T%k>UYj<T*gf
zVSvOn_LqR9{t~sYzg+LwUo>y_6Zbv+q{GO5lJnM3g5nKjm#v`$Xc)@n!oH&B+E;d(
zD*A^$l9kj){OtP3_AY(I=WcJg;MH4NjOi_o-wfn$x`CWnWguI78OVQ?`m#1uU&5y9
z%afM+GBKx@6gl@2C*xjX`c_Z6CFx0z#d^Zs^kmn4U8xGv6&nj(`P^JrPG;+f=XM?0
zIYLMFeds9#CwfYk6+OkPS5MJ=(nE3&^bkL*9^%xYhd38?mxDgt<?)2>f=b;b^GY|F
z?b1!!n0Axu&t2u-sjl+ep{sN->M9FfYs=L{ZJE4OTk7?+<-}7h@s80FH(M<^psgjh
zA9RuK;a$XMP8aFev5RDube0{#on^uF&SKrJvurHVlth0``DUpp%iCzmhnt-w+_#hB
zb9WNc)}6%oW=FB`?I=4fI?C<V9cAP#4Y};6A$C(Vq=%Y@G!=D_hQJQ;dwK`y*P(-K
zENw4k``gQGtM>A?b9*`RP+gp&)WvRrx-9RhF5cDcq~J(9>9MSx1ov$xJ>RIw^%OPn
zTdyXohpEYuFKuOOMq5dAX)Eu!t;|+xD<uVOWVKHl=`pp9)VFUV_sUw!{m9nRxS+Kd
z>a`Z<7phX5tSYM<R7J&DRdSnDBs5D!_PDBu=R_4rY@;I8#jV6Ryp_b-wvxVjt>pU4
zmg1VyQsy|el(D8QWzwG(vixcbIqcg)8fUbS1zlQ5_2cHUGrqYPuW2qy!<x&RZ^}}i
ztt>6Pl*M$KvUq4J%j+s7Sst$>zt$+p31cO3{Mk%q<u?-xzh+`PyP0@&YbL(e{xQw_
z$9k{+vWfFwc4_^WKSclG@PU7LZT4?=ocWuNJ^#h+w*2CwD!+JT^iN(m=qJ18{^0v_
zez5hc@7!j`cYdq>o&OyD#%%hHQ*Sr1<>DsR`udeS`F&;9{mK#NzOatv7rtNpnKQS1
z=G$#Qv)a*5ykpcS)-L|YwaY*9<KK<kJgkwejT-q;{s;E8{lF_ez2}X7?>SljJ-5qx
z$FXzXvEAFZZ0Y%ym+HLb;~5RyV^#xSuCHgGz4h#-Q_o46Z}|J{H@x-TYu595%}x5R
z`TLbuY&icFyM3u+m5@5VXjI3MH(qkw(wAKR?*)&HdBORkUhwwvT3+Z>%WK-#a(wD@
zR<V4}5wD){OwVU*V(^S7<kj$Q`x>tOQ_W5>)jSZZxkKes*4h4)t+k)>rHm(RZvBM+
zHa+I*h{s$%@-gc^tm0kUs<@?g6=!5t^8Wdi9QpGRUpx4Sd+;MZ^t6J_T`Rboeg$_a
zc*wZoA^WO6<Yp-kICk0tUfEdAHlgM0II^72KDy66circ7z5BeTpp2)jDq|b9GWI`p
zkL#@N@#-I?ta-SUUzwHivsWeDJg|hP8JBSO!(z7HRm@rj#r(JME~{<0%VwSLa%|Qe
zHdu0p@2cM6xbz~9npeb`e{S>NgxkD!s-l0s#hC|h@qzKTIJV&?7lqzrUAoB!UKH}E
zz(W3OQpojBZ}4yL8$5j24GyWi&YkvN=gWhxv){vOyxZ*>M;cw@2jv9}t_6H`Kmj|I
zU*$=zS9y%lRbKQUpX1!}S#?l8hganBq`i6EV`v_0J<jEkKDq2NBA1`n<nV^T9M*#z
zZmP@X#?Wk5AD7KD-(TSi2e0s0i!1!T=`!agT;>b2FLQCT%dD23#SV+I_+#5Fj=FS-
zm#x0UbF?q<@*5X9dh130)aN2QlxMP<XC~hrk;!LXWbnnX46dD!!9%}Z;JCyKY&`D*
zziM?sf!aRL7gwF<@~-Du^Y%I3vhy5&A9RinSD)n-`_A&r@n?DA*E8&Q><m}VKf_bi
z&Tw`1X%2Hd&1-v~=A{o$@h-npoXMxS^T%`!O-SeAHtGDOZ8|^5N#jSG()f>I8k;>n
z$;lxndC0_*{P0IA$EBsR-_leL*G}c!J1MN@k;2ZSQn=-N#qF8+6YM(w1g~#@f_Gj!
z&M7;N^Uq<&dG+gL{(d-_kIhZyt!l}<{OU2@>~f6bhaKaOuanq5E{We+CvkN9Bwl$V
zk>~75WP8&@_WO{)_m3qoFHYd=+6lbAG@ecT;<@|yc-H%UlqZ}&%HHdb@*BgWy!zP@
zRy}xxuUj4Aqv}WaP+=TrxX1AaisOmjV)@ePSe~{nmjCvR<-5-g^W~VsTxflmKXp9J
zaQ6_$`5xll6A$tAW{248attqZj$ykIF}$tuAfHS<$V#gZvQr;Le;&;z4@dL11<`D$
z9nDM1qu67A6z9)~Vx4wT9C_;i5Ar#{H4_i;spbbbCNGi`_eAn-j%4-U5$td&g5Nkt
zu)Apln>K}W>+|9KZBsZa4G-sjpTc<U=`g;vF^ne-4dbUDLV16BC@<L%%F~C0^1KiG
z*(H5HU)r#rI}hE@0gd}u_w+u#<G7C_jrZ}c&mp|~TnHcB62fI8L)h?pFh^VrX1yK3
ze2s$H>u(S*$qnN9?m@hELJ%Kl6~r}#fjr(nkn^SmvTcVzZdVq-Rp9|#U=zTF-2=Gp
zsXyx;^=GH${#?_~pI5#0<F=>#xNwsn$C~<a$S+@x$?@fU4_{WE?8^()e7U5=hwZ|B
zxRtFB7wY(MLajGPCwud82XDS-?9H9Od$HpcFMj3j#oH!(v7WjY*Oqy5PLwB~v-jky
zeLT6LVJ{CnvzNV{_wp~<%RVjl^57y5ez)I)ug&-13wj=$`^ueb)7)8it2=LEcdlvS
z&MS)CxJ8&7XDx7Je*-t()ZogS&$@Ep4p+_@@5-&!T=`-09xfWahd<rg&65}I=DY89
zvFDy$yiQ{md&KYLTP8bsT;UFWZM%cB-??yss|)|^<ihsHw(}R*&Y5?eIc146-)-8)
zdj8w^i0(F?b#5yUwb;u1bPI3aw1r=&ZsA>rH}k|1n;CCy;>C+M@!2LP9uerowFXX{
zd&!Y+&vN7zZ#ME;*Nyy7Ya{2SZ{XAB8~ASZdhY7Hp7(WF&m)gJu&S8@t5mJy;hWcS
zK)ZF^@z`3vHg+v1R<7aGo7Zr?`Wl{bd^JBCznWv8u43Qqt2j<`71yS(<k?eJ^1Hef
ze9nCZAJbXE*DfvR_SVbU^Yb$98?uZ)4P3_cH<xm|l}mX+i=|wCWC^>BS;Cf2{^N-|
z{^K=W|5KbFi`it}Vy^mP&ncnyoMddzw@dA~o1-0vb+F@6rxtOmnTz=EhlQ*cvXIve
zUC7T%7O=bH0-n-w0n1riUSMU*N50NyjmY_YV$^(IS82mGJ8jrO$A(jKt-0e;Yd+f2
zninL`W12FLC%vD`+xN}o`y=MEO@$S=*lER&bglTo)j9lY<s7z9o5MM$X7i%Cv)SP1
zEY^sf#fB4R@v=8F`DV~eo;PA9x2c@Lb$e#;n?5sGvuHZ6aGK85+S7SY&NQC1Vj7#Y
zo5q&srn1+9sr*KHDsMV5g?rDQ!oPl4@{c2yirK)DSAVkL%4iFA8gIcv-%e)D@X4$r
zlX?0pb4~~`SM2}hoL@VM{Q@Vkv*{%Ee>RZ|{3o)($ccQcW&+RjpTN2!Cvc}{<9T4f
zcwTEdo{OKGu}zQ}w*oVM^l}`R>>I~#c^nU_AIqT;W4Y(}v0U_F49CWd;Yf=yighFW
zIbPUimhiK`%t5Kl_O{Gcs>}`-h)*mdZrh1CI1kx$BXV<H<WF~iTkZnJfxzKaqq(F1
zXg&j@c}x8$UKl-!S6GhX(4VGUd%~3GEimPVwx%3^c_i<47|A<zMsiHC30J$C@C0KM
zE~*{DTf;}NnfVAF_G37kr3~jSi-z;9_QQExzA;yBHs)|cV|J<>#*Tr*c;DDzT=sb=
zn;sj=mu-jgQuU#1ls|+!ZymyV1BUR_r-M0a|6o=%AIt}S4PuK^gSh+hL9E_w5bGBY
zWb3^HId$|v*8gC{7ZZ$lqpcB7?qI}YuMgn)I|uN7;{p8kb$?zF+n<}w>(7_e`g7RT
zejMb|kCTV><L9ppnc@ujg0&&fY;VYIZuI5a-F^A-$iDpbeIFiltPgwI_u=1KeRzLK
zZ=USin|qq|W{qD4-20pX&vP)~V|@)+t45!bqV(Bnjz0Hlr_b$f^kOZyUOX0ivCmgM
zexI(#o7U)Ymp*!2QLW3F(YkzLt}d5#&}H=^9bW0J!%xk0c+=mW-1kyX{<ftj*A45*
zpWpRhofAEH#flzWq~C*QR(I!*2fOnro9-OYxjTE^>&AzIyYaoL-MDv~ZX9}}E9-i8
z<(p<*Iiy)v-khziIPbMN6twxycP;Lnp~VNbXmS4$TKw=+7d~>j3;S&B!u~_LaLW76
z{OV+99_!GV&kyX(liq6bmlRFTUaQFoMw*<|(1{CDI`QANo!Dw%C%*o+BU_#9$bTI=
za>3w^ocKY5kDk)tEJqFgV64GozI5Od=R5GQZ5_C5R0rPovpui5+@9@rw`Yg3?fHOm
zdwyD=&SSjQIm<$wXRE1mi{f@%y00Byv}(s$TJ5-^QjI$tR^z4rsc}hfHMV)(mVc(S
z<%|t&IcRuWcKz0d1G3uinLTaz^Y}JAU9}BgEo#lP_qFC<b6azEx7K{HT9x-FsB-*j
zRlYk|l{<Y=VaJOq{ARZb@0g&%hHX^%ZE-8U9o~wsE@;K&y;^az*DZNMT1!5<xg~d1
z+}1s=)RN~Ew%{(oE%?*i7W}G53;tT$oO`4+SIpbZ`TXeSY^c<nPZuh)RfsZouu<lh
zy2^a-l@eE^EAh8&N<4V167N=3;<}P%ydtU@|NE~QpBm7NKiB=E3(o)OM4NwfH|8(t
z5BW<;d4I^(>JQ1Q-!$9hH$}AjO>K_+qLU+jk!#^ka$oq9&Ncp^&YnLgvFi_7miC?I
zjQ>uK72oKJ!#5h${2M(#&_r2-n<&5FD}A^9N((=Jp%30)=#<VEiar0CE>HbTDla~f
z>yA%k*y$7fKJk(MnSG=oRgDz5sgbnR8mTnl17#>CqgxN&Q`?R2X?yGUq#6H?9@9H2
zeejk(ZG1~(+rFi&#0FY2wt+@g)ziqW^|VBzp0ZNk(Addu=wt0`y1VB!J?#FP)G}X@
zgVihg(O5^P1M4V!KpiFAcuCdEUeZM6m-Ha^1%>hp+EG<YLECGoNUN4iE<C3~tLNnP
z`5A54|BO6_J)^vm8XB;%hOV@)A(!-OS~8=WHh*|Zr-GkSm!VH7spJVQc6>q;IzFLU
zXCIS~)nj_|wTd=HR*~W8Dr!+xNo{sj66jV^Xx=00yzCL>wt7Ti$17;x)C$V@@Q_-D
zKBS!^A5xFX2lQgs11j(JfZks#r=e@gDO$ap2A;i7b=LQ(@OK&AJ5ok1%*)8`?LDg5
zcaQu`@6m!MrDWw%N}Kza(&ge3GTK@~`8`U=^=dIKUsFtu8pV{5d6)j$-=#e&cgZmQ
z4mHiYLk)k6Naa`&S<X<<+rHhV@o~55$K=~o{_z%7MBgH%3AbqGyPI?^;wCK~dy{(A
z7m{jNA!$k>O?rKU4)4D~-T4M(zq(Fd`>)exzE0k+uTgI3HPRV#jgHh8kVQlRbulX-
z)%RCPH~K0qm~@r0KIPNc*nFy=l24i6^C%@TkMd{d(cgc$WOp)`p4;Y<ziKYoT*x7d
zWjSQmF^3{^v+2wFY}(v2o3x9rP>stKD(ZiQswys%y3b`=W_p>P)@9L-h%CZMS)|i+
ziTWg6q8alpQB12#q?U1!Vpm=yEA5Lk@Mb0%x@6KsqfGLAoI$SxGss~~26g^;fvS&Q
zpdzaaRMqMNsa-rz_G{16{hsG(ZOJ+6?QxF&nVh5Fug_BVn6tES##zc%K1*g7&d{sX
zXDF@b8Hy-9O>v&5>GtT;r1kz3c^*AQn%1YNpzSFN&rK)qE$I|JAf4`3r;&bm8bw;B
z(V%8&^y2(U%36Dp&h|P<w;!fbi=b3mG$EB9{7j*Zr&DOasuXIWn?irfPmp%t37S3O
z1f~8uPJPcFr`$EiX}kV$nq8SpQ}!p*Qp;pIsGLlnE*+!Qn~u>xqhoabMH2ZPN}}EK
zl4xK1B)VFdNSf}6v=<Yp)7J#bOG}`jRSD#xpP=|o;wdd6o|<OH)1tQV^!(aU@^U>&
zlkq6^YdS)Pr;pHtbw_BA;Ss8M9!E0{$I*-VaTM7(j#ib%l67D#EwhNF;Fhsek$0G6
z_hHJ1!?f(%Au>33h?+SbqMw5fQOAZDGEa`7sO2%FY7j%=H3w<T;e*s_;X$hJdXO3(
zMpNsEXqsRZO)(v#sY7WL9SM%28PlVvYr80FR&;=x`yU_!%L8QJ`T%7XM$#akNXj;k
zq;)EhH1b9S_3(}$9rFkxl?d8;Bb<u7!$~G9x@tIWy%|R27e+m&gi$xOFdBX*lvW0X
zQpSu>($@&3<M;N{l(7AzI&VKc)7nqvkM_}vgZoI`ZXeCj+ec@ghtS}}5Gq(1LR$ue
z(71QO)bCU<4cHV+lST&9t{*{Ed^w2FHHh-Z2hmcMAkw`ZNMC~jscv>4ee4oQU8(|T
zZfpRhEe#<3egSmqtv}hE_NQ)J{izB3>Fqy1`c>dZz5V=X<qSV6(DWmy^rc&|zO;F{
zFPR$olIBMrYLnqZ-FErV`0+mE+1iJm6?@aX2yc3^(3|`XylG0k7xg~vMOw~YWH82y
z%v*WU-aDRD8RkhA3q7gSz>}OB_L9-rz4XUrFTFC`OZ9E`QmZl#f`cC9wbX+ej67)7
z7kBz|*_~26-N|vfJI&B?r-?OgH0QV*ZFh20*q+>|T}wCGao3fU4!Bb6f37sw$dxA6
z@1YL6_fVUTduVvlZVG_iq*=U+ZZF+Mr@!x{>w!C|wZTr>k-39<Oy5BbwJ!8#y9;&h
z;6fXcw$pdoPU&UN6t>2hjww0Q>jT@!dgwO#d}AwJvENGPzipw);4L($-xfNVyP0g~
zZ>ABSHWB%6BFEmFsO*Xp{b%h&Jw7^83x7xI+Q*S>b2d`p{Ef8a%LeKfyn(t8*g$Y?
zJ$Wu(PrrXTP;8_Ftsm|{tBcoB$l7)ETxA_CPFPE=$E~HOPu9>=mo?N{dkrl<znY%U
zUQNM`s}$>J6|EV#iVoabNsX&k(k7La)GKKP{g|+Ve%CIi{vON8Rew1t=P#qQ|CZ5S
zB}E-sN@?SklJfH<<m$eJ3=Njh_pATW=VkwqR;&ML`LV_Hc=BS}S#M910_<t@V0)Td
zVn@+VcBI<bj$$(wk)7=#n)GKOS;sA;kns!YQ{4jE>9>G}3|>HO?%7hit+q6}n=J)q
z&!^T)=hI1*`LsRNhStrpA@3$@x^>W+OvYK$jk<Z{7BG*N7|)|M6>}+i_gwnedoFFb
zZAF?+R#c;HMP)g2=-rArG+2EOMVy~ay%)`<M=fU4xzt&7!D<#g{XLTgCC;Ry(`FJk
z&7i-BXV6RY8T6@fI`xU3PP@lXr$29}(b0%$v~KJ)T3A1ooWiEkNtsIOZ>CUK=oA_w
zQ>gtLOKKTrskq%^NsH?(=vuf1%@}7vf8S1~(gTy}=7h;q*Jw_Lhs-I^!ko04Ceihy
zlPGG&BntUGky4LOq_^`X(##eUsp9km+G{_7tlCW=^Q`e?w|YE9X^p4v*UZRevl;0b
zn9-ZkarD4-9MugOM_sGO(uSb1^oGZh*Sj$^>ChPJKWz*R`6Fa=QYe0rkcPU@(QKx<
z8<>prm<&pZ#GPozaH6UgNQ)wnlqMtH_yLrj0(5Z^(98Bf!}CW|{N~YQVmO-KJQ_vW
z0i)>rm{D}+lPRernbMN^rc|wFO1pAL5^WwyJ^PI$-Nz<m7GgqP6HKV#`v`J8IfAs8
zjG*c+Bk0EM;Z))}oPL-Lr|}KOlon@9qvsjZi?+seDsLFYY#T<&gN9Lg?NHK>9!kM8
zhf)ufp>*@g5Q^A5gglIfQ1J7?lod6YRAvn(C)L69Cua~PZyQ8TLk7`;R|9ET>_7^z
z9!O>F2NDz-QLd{IEgx+}{XY#LwUhy*zH9&u={bPbKj=?I!Trg?qCdS<?oY9o`;qh3
zezaj|Kk}?Mq>BlL)YjgRc6L?t`+X@hs4sa~^rdwz`qHMHK6JpP4^^4;A;qFo%yqrV
zW>s(M)Vnt|R2$H<g9h})+JO3K8qlT^eX0)7r&SjEq~1!O?&bHQvwM2cY3fBqKlG?Y
zh91q|tVg$p>5=URU21hwmx|Zu()oV6lu@Tc4-#~!<5C@3(@Te{t9#PM!#%0zqMr1s
zdr!Jk*@KFsdeD2D9@JmE2f04%PM;&Xll#2xG^k5=`cmGF9)@?L2XnhoW9M$v_d!>3
zj_67+=XIs^T3xAAg*KHP(5AHc+LYK$n=-1j=w*x+4Yt#w{kmGD@vIA_9PL7jmvy0`
zeY;Ti*PW@?iOyuUt~2c(+?mQ7HOc&}CY5c`B$rW|gugnGR(2;+ck4vD6FQNlN+$}r
z)sY$lJJOn29qFHDM@p;EplvZ4WV={{tb1$F`qv#OHnjuQZ|p!bOghlrAMI&Hc6-wH
zXiqQ9+tV$z_H?sUot{UiljcHoTHH&WuGO`p390Sqv12<5G;K%Lf7A%Cs?jK4HJUy{
zjdpcbqia=dsqfLY6t}7^4Ik2$s=v0Ogv)Kn&7%!%vus0N8g1xgMQeH&+nOe=Y)u)1
zThq8ERjR$BN{2jEY2!3iTF_aQ?4GEQOQH&;IjGQ26BV-i+lnf$x1#mIt*Dz#D|)Ke
ziY~orNoi+V(#0Ju>G6b?q@~`H);w%M_v2d7yfrQ8!|)aq_oq3ny3w2_?`uwD7Br{n
zeVQxgb7eYxQJGrqRaTr)%JfBBnSyGSNO7@^RJJQo-FPK>tgfVZ_L@<<#AY;kV>61v
zW~8LjjG86>LnHc!9%X;A_1eF9S@|!<ME}9##(%K()^D_2`Wv78`h|zWekr^~zwqew
zpZLoDC(i%z1HbM6fq4UeV8-?D_-OHWH2n1qkA#0i^P%6c>+L4&vZ4vcC^cbN%vaPL
z^%Zl<zF@?LFL<Es7rb`tvm!728RKd`;q+af(6HMlG|Kph^Q}JOnU9TV65NQj0~;~x
z)(6a9^#L1NeL%Cs_jq;udtCqg9gcT<hh}>3aBa?8%(i=r@V5bL4mDspH(>IUdc3u(
z9=qt&qkr}r>~H@D8~?q=nz+~aW87=R+E<vg_m#r&_6on=sKd(Db@-}n9rjFni92S#
zM5WI!@KpE<^d9vBy{c;Q<nCJh-K!QiU3-olS3k!JwdZ*K)H8f+^$ffIsKMQbY7`#G
z8qBV%#wh=4JUFx(3(B9O=8mW6ulE%DUw?w{*FM2YjVJgn<1zNNdyHN!9%H+dD!eqS
z3Io4aqIYa19-CB&@7_I9u+SdiTY7|vFDh_vK!t+)T!CjEKSX8Ehl-rdL+te60p8#J
z052In!0RRD_-%VRPBSRSn??6=&DQ%kRPR1^zg31to68ie<1)Ndcn?Qyx`$Og?_qpl
zDF$yU#W<Z(g*UMThioZPxFt&ztjuBszr7fhdl#cd$z7bV^DZ9jcNe>q-@)^4cW~R_
zJGiK-2v_<PVVFq~zI=Wg=ZD<Jk9-?b8*ZV0)Gb9W{uZA3dJ})f-^As!Z{p`>H!&f-
z5S{G`aYMU8^tpTk3)bF1gYGvl;nsDW>~bB|2VBQ*kFKGz-!&Wp*Kl`z0X9Y#;NB?(
z2*0ml$CFo4&F(51w!ezYa`W-3V?ItW$j7?-d3eGr4}(YLVMKi{X2;~B%8XoeQp&}@
zXLB%RMGkK7nuDu~ve9`@wqiYJ<FA)jaDCJjRGxMPFEqP?{^u^Eo5EQi*+b!(FUi6_
zo>>?(Itxd<zl3j(Ucv(FOL$rB65h{KIGMLyROE#&;^SuuS8!w|4pca9TPQrSzcMov
zd?bZqRN?E4tx`Dr_Fupg3V)&fzw<c!g2JWcpzzQs{9S9R6i%G|3LlWA!Z)Mvi>$h+
zV1PR+7|8t<9P(%XXYU=HrN~~iQQX1LKaKr&oW_RXr}6gNQ+O-!6uz=Mh5Fj3a7Sr6
ze)3C4p9$#-ZgCo_XQts_$24p^Fbzl6oy0wHC$Y}<B(CXv64gplvB)nKk55d+gl4ID
zIV%M}ZB4<6#wmFI-3c^1egfYuJAvo*PGI!o;}~<`IA&QL$8Q~uE4=o}c+EE%ttTa8
ztLDiHR_HOjwDTC|j6Q}nO-ZP8E(x6-lkmgfBy@k9h{H}K;-8g?iY!7RzNt;X)<+X?
z;^G86q?3RePvY^&!FZfz8;_b@<MG?Wqu3O26gB1@Mf1)_G3x#iY!!9{gXbK<;hm1)
z=X-H@cYhof%#OqIj&Z157K@glv3PP$EE;LXDtNSq(K-Aun$J6o!?X^gNyQ<wiaLZr
zwui8``yrhDBnBTJjzQPOF*rs)M&TVjh-yg(vD>PHiX75G^n4qQ&(orDzGJi^HyVxM
zO;KojF$zcTj6&lvQ8-aK3Z1SUz>7Wy6by|67}ov(_A86T2N98Y$Tkvp>qMgS^9T$`
ziolC&A{5!a2weO*93N$b<Jz6!s5LGeAGZw0OSi)CbZ{8vS%qPJ*DxGd9g5xwq4;Zc
zDEbTu#X(>9W5cEWnD4qDPfyy97uELTqkH?XW7IxeYQGQf^x20q-iBcPnGig*Jp@;c
z4Z$fYA!vR#7#D;GqxZsKyloJSh7Cb@@JtXIx&-0vaY5+aItXn`194(hAWr@-5SR83
z#PE*+SbZ@7$GQjLMauxR=oEk-tNig)f<JmY_~Vw5{^;`04<icw@YX&*1^>qnxApeJ
z#&^Exn&FFvZoc@^(ibmj`eM>kA3UDygIAq=@H6=!sQ4)OzTT)7<BgFkym9m}Z~XYn
z3v;h~Vd6e7j9ci1XAHft@{=cOXL~C6f}U7m<%#q4Jh8E1FCNO+i;F$>BFxx}1G?|U
zA+J2p@~j8$*yDluQ#?>t+XMH%aK~<^-7#~QJFc^IM-we~)O_KFtxvmQr`>Kie2N>c
z(ssi$FI}<YSy%LSbw!Qou6Vk;D;C|`gNxViL7g^xP$g+Mb~D?J)=zg~w#zP@p|uO!
zoZE@-XYRz`?{?q_{~Z|KZwKmKcftEhUGR*Oi-PO99pCVFG<)of1uo9Gp{p~F&)kM%
zt+(Ndrmc8Bd@Bw#*@{K?w<y?fThLQ;3m!hVS;6z!tYCL<Qn+3>VZ_Ky=={(L-JPBA
zTvsPl&vL|&g^oD-??!ABw-J@iHlqHE4Y=BCgCZ-o0oUJNk4Ed)V|$JD*zKGHPPKNx
z#GmW1&*61gG;SS6zg&yKzH9Nsptbn6bPZZ<U4ymV*5HAh)wpTdY6X*hHO8c^!umO@
z(C)`d{C;>PW=>d%hw4{ga>xpNG;#$Fd9oZ+JeK3M0n1UdbQv~tUWOfYm!ZY=rI_fj
z6#I5wiba=~VC1qT=&iN{W6u4D4;KE1CN2NN%#(|8@w~-2=$}36B-`WgS@!7g(++RP
z+u^incKD@f5$41#Qm|nbVcwU8iuYfLb1W8O>E{Kw>F@#^ZLt9Lzu4lCSX;EWRG1UK
z&c^{q=Hs=g^U>qG4K7Qt!BsPDF!;AMK1#O6Npr37fs!@)rp-h91@q8GbslayKNn9g
znTr}7<|@28RycaC6)JVL!iMW}@Z07&*vDWFZY`aSZ}!Z_-GgT<xZAT(Jzy59;w*)q
zcqT51nu+<7XX5zpGqCR13_M{y14C41U}VO0%vm`dTWe3p&4tsj+4gC8vi~&PQ8^XY
z_)kR_nu;m!rr@8$Q*h(VDcD?j3TB+O#DL|N=%!_fkvA>y&JGKOQ^5kGYbN8c(8>6E
z;$+PEZjKjH%<-<BIkxI(j*G5M!u!sXaP7cJs9!Tt!8M(TAIv9W%ij|aPEEkzWfQP@
z*9jPTXS~AaG9G)Fjz{&kW~h6_3}?(U!^3UOP%Up9Mr|F369<mN4$sHp&&aW;Jbf(o
zZ!s1(TpELA8^_>0!!h{niC{*UVE7cl{mOzTFEZ9`WJNZR@l3ViFT_Z~@6!njTam)2
zikP<*v3@Y(uveg9+5&3Z0A_Xo+<J2~&T=1(mI`9U;xD5x^yDafv0@a?)*FRS9+{$N
zs3}gFW{QJV6qPp;r|cMso+cx)>VpYRKVgDTmzkiyt_fOIjz9<>fjn~rE^Ipj4_qIP
zjc&tnIS<FC@5UH^&KTEiG*;wtjnV4$Fmy^7hN+8(p>oe*xcSjgRE`*msk4WoQ~RMf
zr)Y?RS2_e&Pa1-Unh(Kuxr5PW_h78X!RYp55RS<hgxXsMq1y04*yH0sG*2Ihfer)l
zz0p8iQ*VSy$BpppN+U&v&j?q&9Dr*R2B7cK0hp&h05zZYNB1NBvCV(|6?0O5TwBu*
z$H(<ku;cnE=Ffh(y2cPw;tWycKSSKr%MjZ=?~55n`{ItJeQ|#8zBub;A6%N$N5S~(
zgXR7Dph<miOi$^JW)8g-XJ>D`&}e`WXACf8vjN7BG{BPY`q(8)AGhw(#}8xl(M?$&
z2VLuhpS*iviDfUm(XJOhEYZVeVR{O`vK}7lriU6&b@A{KU7WC77nS?#;-j}Zc=MDF
z-rKB$pGWE7pg%ovPhL+2TeT-TSoXx$?R(;tvL5Jrpa-sB)C1S*_dwTI-SK2<cl_ko
z9cP$!$AaJ8a8`adZ1V1gXQy>TpHAIy%cHL765ACcmv_b6MqN?slQ!<i)W)XW+UPq`
z8;7fD<JWsycsEK5a~5mi4MQ!gd*20nUg&~rcXh#%30-iiS{JM?>x{k!J1c%$bVhxn
z&ZzNO6ScB5afF8^u9~8WXFF+P=f|BeFrgFnaOi~jCY^Bi-;OxzMn{AYMa}PsGxa;-
zt_BUvJ*R=)c59%YxdwL7&`@|eJD`0+2kf`L1FDSbfWMU#y{J9*i)fGbi`!%BfcDt_
zt2+ARsH2vjx?<i@$1S?*II+GR8l7*4eO=q3>6CW3s7pJHdZwmuVX5IPXEnStUJdQr
zt6{6EwwRyP7Q>v{D!4aoaa)_V=<}crrX6jA_3PUpVjDc7(gu6nZ;h#Ot#Ot^Yit9p
zv7%LL%qmmGvvI1J>!6CyKozxARdGqV3g#VEL6eOtc!gEawyg@bebfp|lUiZQ=2jSO
z)(Q`GXocsVw#1s$mZ-O*C2qE8iI25fqD@^3e0{D326(i<3A0;Zhh8nP@k4Wbk=-2M
z1~y04Ma^;4z~;E~mok>!QbvhZ#w)9papq`cY*JOmQx!_MD_IHcoRx6)WF@rKR>Cc>
zn_)s`GpzGzhB#mGx_>hq`{f_lh5v*2k^exw;xEK*{|naL|ANVtKQP+<4=h#s183uZ
zL;p#?;o9q8;N|}d90vaam(rh*y7?!x(EbT-SwEn+{SSDn`~w~(eTN3i?_luZ8@Psk
z1LaZQ;P~Sv*y7d%%lkHg%k8glZsS+z*ySsPXMF+w?+dh6`2s&uKZE+5&tU%J6C}ib
zf<BWz!R@ynAw2XWc)&*pd)5dyeHuZ3Xd}cv`~YM2e1PVLAE4pxduZDF9{T9Mhiy0B
z!P^b*z*GAjjLUlqdTZW-ey6u!ez^gHmp8yq^#<_CtcOuc>Y=S#Jt$px16>!t0jo9&
z0?)bEU~K;y?zesoQRiNPtNknRZSxAwov#C>|LS0)nxbdEgmX(@f^Ykm;F|RUqE^0u
zvQ95xNNz2hTvrQIyVgRx>(AkX({uQw`y90HJcC6p&!E8Y8B8s&fv@g0kTbLfPCTuK
z3jx(o3)L{}%~Obrd<sJ+J%yStPvCU?6F55i37k`U0(GYz!|272A+`Nu7?V>4pVn8w
zHJvKBc()Sn?5+f*A(b$<`VkZcKY|5gAA$PE3V3#;0?KArz{}<ppmqKstXlC99%(&<
z)i)o2_KpYeYTyGXe_9UDL&`yYd^ybjdLIgo-G}M6_n}GcK3vHugLtPhNbXYxMHTlz
zJ>VW}7;_Ikd@6;&q*Ac7ErmYnrJ$2v0wcGUz`6k?ko&Y4j6;jzs(CRu{k{uhPTz$A
zEAGPZ?svhq<PIG6yaUbf4!AZJflg8pJX%l$XEcf+`NnOyyz4f+8-5$8{uU(1-GX7(
zx8PyBTX3-8ChXjC6I_gMLin3PxD!_h`Zk3S*1ix7Zrp&oyKg|m$Q!WZ{dL%tbR7=b
zU55u<uEU_>YjDK-8VnnI4W524fMcf%AYe@a1R4}T%Hyl>GW;qiMB{K$RnhbF;pL8e
zNHNKWzz=!gcRUZ`m*zo5&phZ~kqhDbbD`(7T*y_)g+2K>Fn?DL%ovpei$7;WKw383
zU!4u6eX`+v%@vp)a|M)bu0Uz0E09%u8FKwELyh@m=-%QoIOb--^PO4XFggo5HC=-H
zXD&hdhD(q*@DiMVa}jEiE<&GW7s0dFMfmqL6GCG$!OS)j+G=OQ`|=EE2+aWH*%>gr
zLk8@=djV<#F2Is07vNXx3y@ZL9$dW7!{SMbYIz>E7o3Ask8|+D>>SuDpM&bWv*7G@
z78E`#XliyAs&dc3BiA$VaqJn;S2_dh@=ims+i93$b{cAwPeahvQ!sb$DKMFM3I?}2
z1!Hfd!y2D-IBAg%t=p!<uA($(6O;z0W~9M-jWn28b`nN}p9Hi%2@ATOgwU!~s6CVl
zQx~Vg9sN{T@iGOpl2f2&O$y`<N`Xs_C*bzk6Yyp02{3^Z5cKCb{L4KK-g}RO;pF2`
z-S#-77binRXflLbCqqj2WO!7440IBX!H!kO;KRUU;PNpEdR|C^hb~EwJSGW3S|ma6
z%|u8FN`(7!5}|9?MA-5)0ba)^fYa&(=r|++Zhnb}$V>6C(={HPC&h!GT0ES+cN9J!
zI0_c_N8v)BqcHmI5hy!z1U$AM0n4#Rz)<A~bh{e|y~E>R!ooOkF^Gff^|8?JOf1B0
zkA)%QV&T4OECiPvhQ$XC!=%NB!K~k5uxdO6J2MZ#CD%isZgB{<X&i#4M={`kGzLu8
z#=zI%F>vemK{$U+Q9%dcw)H`1(mMzv>!TsyY&3k^84cSeMT1(0XvlaJ1>54IV5&nD
zj5Lh`6QwAyxP1Ve!VkbH`vcH?zyVnMB@$j|N5XdBNYJ&4gi4)AIPoR|g3d*N_nrs{
zw~T;{&JpmwCLBhmhC|f0aA-F^9KzMZ!MHLEY7@gC*)a^<ISe+o4g;t1Q1Cet3TGTb
z;p6B~n9wQ|Qts`CzOnn^{M!9sGipDmx7-gErTgH*;eC+2b|0jT+6OmU?t?G)Lck<0
z1biJr6uWi^IH-oe@A6=XjSq&oj=`WiCK!IJ1;e|_Ao!RZ1ghJDz<6R1Z0r;SdCvl&
z&#6F&*&PUdrv*Ym_dwWE9{{5-20#a&0QfmC0KWAJ0F|%)(7(VR>_Yt^X^B558T-Qq
zC4cx(;s@?=e$a2DA3Pi5r`R|Bz^~dDT+)4E*B)QkKf@O;>H5N#4?Zw1*9YQ4d_dzr
z9|#}j14ha|P<GE70^_~GcC$B(p6Cq&x_HB&S6*P2=>@BOz2K;=7rZm_0?R+1iapp9
zAkGu+IC_H9cu(lp*%KP;_QI{qy>P*AFPvSt7xD-1h1zC&p>vrB%un=yv~3>H+0p}o
zdU$~L2X{D|=MIa*+(BohJG>w54#jHjkXP*n1!vsgk*6E{vvGrw1KnWvKUa8o&lSv)
zTp@eAD@>W@3UBmWVaS_3kQTB>u_x_;jy1dCoA++`Gh{dPsn`V@Tz5fbzg@7hbSHFn
z*$FT8cfy0)JK*)^9nf882W-6I0(Bc*U{^O6Fe%s$>g%_Is`hp;$ae<2b<S|9i!+$!
zZG-!3x554{+rTkzD{Nf16@s<4LUH~U7_xo~q<7r{Gp}t14ad#!smEscT(}7|w`_vB
zy*9yxJ5FHg;sh0ao!~&3BRIP%YLFvDR&Im`-Wy?r$woNyd;`n~*#K>21H5Wj56`34
z!*BETVAA9Ofe8-Ka*hMUC^^8aQ|q9Q{W{QAUk3xOtc3;Z*20PIYeD<=8c1|m12YG#
zfo_$nLD_FLw1(9%xPBElMz4Z<maAa)ua(f4vJz4kt^}`kD`9u`3JBY<0t)q3K(~9#
z!OvqkXqhaB{JLe}e_$CnS}ubvzn4Np+EOTAycC9YS_&!GmVlY_5@;H*1PY)02N@y%
z!PW8q!P}<AV0>aRgfChQoi!H2nF4!Q=WGw-2ik*ajUAYW*}>+?c98vh5%fO22#zgZ
z1e3Zg0_Ea`Q0cJ{ibpMkns*DJUHk%=XR`n<w_5;m)fOH*+d{-(TUhsEKG;RihjlaO
zLqx0jP<7b`Xp;?G>~90JYpkJFq%}O4W(|2Qtf4S#9@IO{gMI_%f!njW&~#ufc+H#(
z!&K+Ow;U^Yw9N`046%auujW9nxH+)FW)4(zm;(!M&W4|Ev*9ev2Jg?aU~B3u*t2{V
z#Out0=MQIs0?-TTmNS7{%!IltGvN5P8Q?W+2JCK_4k3xt;j;a7Q0_JzmfoKRPlKkx
zCW~pH-(ngxWKV^=+o!_q5mVvWhbf?uG6fc_m;yPyrT{&$gt7ycu-D2GrgyLe<01<f
z;$s1mCRo7MW)_fhc{1p4pA3ghCd2Sg=I|`d9FDIw2fu#iu=nL8h&(z8uG&um)t-}J
zMdd_z5;+mp&7BCEohCwg$plCbngB<pPJq-l6QHDUJg9k(hyNyyhr7+kgH^s6d~!8|
z<73Rg`R_QezcLQ&c8-IsI1ZA2j)nIZ$HMgOW8wO!u`uuZ82Fnp2C}z}fe6zv;Pp))
zC_~`nHbuPMRABgbhUiQN?d=R{qZt<bB+$zu_`QRmkqCbMLD0!TuyI8=J`SN{bA<f`
z0R6oH9-0Hhv<7g#JsQ>pj)rYBMnjawXecck1$q&qz{_S7H19qNBA=LoS)3^}Uup_f
zeN5rj>yc2LG7=irkA$AaBVol?6S$UX0=UxzZj3R3HO);F^U(<S<TnB;rjLO89Y;Xj
zgW;fla5zl09}aN_!=cS<WAIBg20ce(C^9jIpr6BFMb0p=+B*zvEQW!T`Y<?BHWca(
z425xaL*cZ+P%wQn1j^Eez~0S6U<wQY!)8N3`}$ze4HyhKdoVa?4~BD32SJC#LEyG_
z5U3gtf`sn_VQ$Vq=<YQTnx+nfx=sV3q0$Ii9yNjytBt^Us1cNY8=#nN2SA?J0I-=p
z09tez0N0-Mhv>xqu-BnKxSRBc@IU?F%C&y*Bd{M>&g%#1I{l#ED?_-DZU{EchR}YT
zAyl?Dgp2q3Lh8Z3aCTW=C?3=o{x$W1|1ossaUnfHy!*cITZhuARGOJ5Nw-3wh$3f&
zUqp!r>AvrXZr!0ADY_{{N{L(*x*bW5oaxse^O@cKeBS5n?wkG2%)Xr+%Vu>ZGg_VD
zUZ>7PDyTE^qw|@T%K6O6!1;`$<$T6aa6Y5;OpP(lS7X-gRbwI+t1%B}RT+&3s!VE{
zDkI^c%9LrTGHbr6FoI1gOkcDL)8wqeT%V`HG`?46UR_sa_)jS_t5+&BMbgTQ@X)+D
z+i)JEaC9EiWIc~LBsz~-*001UlqoR+hm_{}s>G-ZDlw~HC^FGSip;YEiVT`5&dI7G
zWAsdcd03#p9Pw3PV5tJb%csCh^vW~C1@g><uROzRCeHxBJago^9MfJT$1L)bW6I3s
z7-Jzhru&sF6I>?CSR9sRq^xC`zhbh?w>L7(zX};f{<sWd?;yj(%E~YUW73RewKP*3
zHpkaVGXpBpOzdYV#=c34kx!6fX56KiDIF>1$8SkS_<<xtXC)bbZ%O7BNHWUYl1x&s
z1S3`~!4w^mVC=0W7#2whrfpc9$*&S;;=;t4C}(lz^n7vV`ZqCVq*aX3NEc%QcZo6m
zi^Z6=Tw=`gUQx!kM3j*|BFgmGi848|qRi3vB8*p^2(v3rgz?`j!lW$}VeZTdGu++6
z%%=0gOoN{=v&dSQsg@FER*nlXUvCOA<*`D{!OcR9gT4@B%qqkz>=9(JNRU}~Sdcln
zLXfGG7i4%o2{5~w1(?Sv0*uox0cHRMnB#l`jBY<a^P!TTsSV+0&bjc<;mRES;bYEq
z@-emfe9Q-bK1SD$k2x;S#|(VpWgKtwGF|Ds%(mUU4BJv(=9&mE<3G&9Sl{4b)Z=&<
z$*pr_JXhwKYwP1?{4aAe*TT3NwvF7(Ry}T}la-rU*~`VeDCc4VPI57-&RooZCKppS
z!^wm_=4AGja5COOoXmkWoJ_O^Cv)Ww2Q%Kq!7ME1V8V`ZFz=i=n9Uj-%$q;#j9)i9
zBU!@E+zn!9BG$4qE}HC&(LXju`3W1NP|n6I2xeoJuV-WS=&~{A+1QwO&smvem8?u*
zI4dLL&dQuKWMy=CS(*0NEX>hr76#&381|hk%mBl}+!JMCPIS*w?8#ZG)|;h&ul~`F
zn13{a|0ry1hRjdTkgW9#34i-bDg}SZY3*OiV*N{;SN>4U)<2{x@`v6x{iZwne^dRu
z-_-T!7qJBYqE!aJsQS%MT9W*e`j-Esb6<Xtf58vh<NSkyIDb%i^)!9+nx;*%)71Ci
zI|T-PC&Pu`iTlkr`kDNVIIO;r?(|pMU;33gH+>~L!LKyX^o0@+ej#`DFJ$$6ifm)2
z$kS|!@}@r1_rlM#%k?vT=KoBmn<i<4-y|6=m?Z62pU5=v6YaMAM3;X|kl4iuO58d@
z3nVA##r=;|eBvX;8-1k2@egz%`vVQG{Xj-MA1J5cJ<a!fPpz8o>BPW0TATKcmfOE0
zdzN?PQ$0@Q|BVx?+BhA2F-9|qW0Y?*Hn(*$N>DXQT6;&ySap;(z8Im5q!IdTJ3`xM
zhiRgEm{Rr)lat0UX$}mL?CBv=TRlX!TtgJrI7lx825E)<Aa#$urGt5INpIs@VikK!
zpB}uSuc2>9bm<$in|@6hm9L3)_iGAOeNBpe1Jsp1Kv|9h6wEt7$6NX-<#<0eLqBnS
z>7!j2`>4;ekM^qck$B%L>N)+2F06S)nF6n<;NDAW4S7j3OJCCJUoWVp>II?i3+mQ+
zK_O$$$-dw@X?r{;Rr%*+`0N>NN_|FW9iPq3@iW@e)=R@-y%e&%m*C%1;;4H{<A<Np
zknvNRo_a#cl}~8fe^01Z>j`O(_0W~V9&+5?LmbLI)Ybo(sxlu_<;KT!OZqXrd)iH!
zY29>UZ8v=o>8AaUx`;2Ki|ST(Q7C^GZGZ5HHbg(79d?f>g8LCQ-R&gdh)z0W-AP|K
zIw`!hgBFH$&?n0dYGv=B%PkM-TIfT1X!(%-us<a8)^^GaYbOEgc1q=JCxg2WXei<V
zU9^2bu{;kb`2Ky0jk!-39q!Yhz<pZS*+xl;ZN$B%jnc&02%g-d$@F{Fu;Cu%$=;*0
zukKPw_FZcCxJw+WcWLeL9jY$AL;Ab#P=n4L+V-iH<gT>RxL+%^o3v8PuNLa6Z=o+I
zTS&{Yg${AGQ1AWQv@-rSJ#)HEhb3;4?(<vpJ@Xdzc-*49YPYC!teM_lXeN2zX4-1p
zOtn9oNUNcVE}m*4OPeN|<ZGhJM~xJg)<`}Z8)=VHBLxjL(D~8^>hozJZKDQ?|5;BQ
zjrEimT2BjC)YDs`dMbTVN1^BH=-}2mI;2rYaUW}`=4vfXAE_m~WwlhnSxcG^Z&G#2
zP1>;WCJ89tq^F}d=*p!Vl<$9o3YXlVI<^}$a=(Vul55D{wT52ItD!Yx)znu}O~(SN
zNzbgBzHnAkd&hOENxx3jo3B%w`gNL^s3P_1D)K#1MV&TPv`n~)TAp2_O?lUdWA`<>
zwdfip|GrB8Emvtz+*R^(xk?F2SE+vN3e8-;LQY4oP_^Y1(igl!wY`_gHSaR<?72+s
zMwcmXrjnxWRZ>WDB_+C5QiXaYy`HQfwb}{_46C5Gt1HM|wu0UbU81OpOGJT}=&$7^
z>K3|0H(p$vlh2D(zyBh=U@j65*F{><eSxyFE)c8t1v+9h$7jna>p?l$oh~P??d8;~
zS57y6mC=PeWpp{YjP7kNqe-nY(wZ(M|J$Y1olr{4+)AlwK`A+XE1|E=B~%h$LOz>H
z$ZA0e>3%CFja$XED502ExfRn<&0@Ooy@+^PifDII5xv@6L|b%<=*!PSI&-&>R;3k^
z#P&k^s9#7=XA0<1djY*XTR_uZ1*B$DKwCKqsN(T?63jnO$M>I~Thr$$LEt<YyvnD+
zvV1B!l23uQ`LtOopVp4#(T1u#@(InO)U|o^KqZevr*dg`b1ro!=F$p}Tzb4Pm-hb4
zA&Jf$>dele44)i2xHN~{1#@V9e>QEqlubd$v#DfNHVrCflisH+ifYWFuL)VS&m)U|
z>1R<I%iLvf-I??|Ka*MyW>Su2CPhhPQpm_TimN_HMUm&I)Aby2Yo8;hKWC}*;aL*N
zIZKiI&yvvcvs5H@mK=sNh_yO{?nY)%=Ee*<sgpr|GiNB^(HV-$KSSkyXXusn8IqSd
zLwnz!rU&(>2@_A#^=+rg!uT`|aGj>;7wKeqF`WcXrql46bZVcUPPc!gQQLzw>d#Ii
z)&pr|Y?Vfbq|@lm`&63Wm`W+hsU*BBl`=7vOaxNt_3IQmb1j9oM5d6jTMEhOrw~7T
z3JE?-CdCWMWO_20_N+^$;swbx^(Tq!yOQW?VG?NuCefu;No1~?M1#|bl+vC^Yw{9F
z=};p5T9HUYN{RI9YXZG(OQ7lO1d{bjAbYz6idIaZ-Y@ZF*cMM&+3_Ud7f<Kx;%T8$
zJav7Io5QR)GRuu4zC&>|Y#&DtmE-94bS&L{7)#I3$I{Ouv83S`OWW0B>B65FVtX7z
zUZpYg@<a@6a*3gFofryZi=l-tqG_Zun#v=h>G<Yo+H4$64*bz%GZ;mVH=}4*QWQmd
zMNzF;6#bHnBI}7r%59A#uB=Ep<`+pb_K_5)8cABeBdDi4f?~=d$njJJsceiOmPHZt
zktc#i-h|V~8{x!~98M~`!^v@ZIK{|@)8nZyTJRu@qR)rX&!b`Fzb=esbiyc=BaBS?
zLuvGSC>11xl8;v?S(%5Drfew5ehDGz_7GAj3?V!oLhkEBC|*B=+Id1qa_|)WS9glK
z(oT{2zEjj-dx~sTPEr5wU<!T`O!^hU^dT~ss<s8w+$jj!D;Z2z2ToE+%1OFzbCUXg
zpCE<G6Xd_+1dT|ap#2Yzlh~=_)Uo(D<-ZT2gxnxXbq=B{yg@Y9c#KT^k5RVPF;aMa
zl&aE>(oXxMq|0)Y1gisy>%TyfRt+Tc=SS#N!V!9Db%Y%L9Hu8%4$~p;!?bYTVVZp!
zK;v-%^v*JX*!~<M!>fnr=<Y-GQuz?AdG1ed68$OC)}O3r{YbvXk9hX`k>CP9(t3T6
zHlI02rH%)QkLMtTH6I|!zys8<=l})1_ocN3zGUw1OV*OUw5@YLrA6+i0rUN|?DsyZ
zxwemNeD=`?jeS(|#)poc^P!#2KD0~7hl1Mvqw<jdXwvjQvj4G{>aXl2tN-@Wkj7p*
z`*siQ%GyJ=8}^X7*dB81*iHUXyXms!ZepADraiUZ^zM*1omk{eS`%LMzSN6u?ewAw
zWiPtY=SdGTJn5ISCz*+Q(%Ft(#22%Rl5KX89{VnO-L#WRf_73k?W7~qJLuH49hB$0
zgP!Q^Af*r6>3HdO`m$>~1*vT(g}2+NJ7*hZxo@K&xovdd`Bpl1dMjl*Z>27=tt8j&
zL4k=LG_lHq4hwjYRQncs5WR&`?Y7VX?k%+Q?q>Qgd^1H`ZKhiG&BW5;PHrLY)V|!E
zoLJrIU9%gV33j7R=5Dlz#f=o3H<42CCNeVLM4MSQQD*Z-`V_p8T$XR7Zq|*o?Y1j%
zhPqOtr7Oj9xYB=jHqf?+4Yb#G14Z*}pt}3(i8XdTxvgAJ_XXFJ!y^}Zo8&^VYh7rC
zgbT^{IumP#GyU1<OuP!tq%*LNw&ks(^6l%0TYViJ8Cy#;Wos$@zqPbne=V_mSwlTl
zYpC|{8meN}(Crx~8ftbTnJ_2XYU@OGd`_g@=|~ro9cj6XBfXb#q~gBSbSQ5%ZP>Y*
zR%x!L^&eN!!ON@W^!X|p!c~MbD=F{RN|KLQNoDpc$zFIR{p)d{I~fj?yV-$aRUIg1
z%$~9?+S9EA_Vmldo-F^an0sagiA1iTl$9%Jf!GS_d}c>c*>>c-!;Xx!>}dX^Eool2
zC9`9;<h9(E&U4$+WQPqorrFS~O*Uk$Vncmn))Zc0P3DKJNzl}qKC)R;|9vZZlVnBH
z8>~oao)x){T2kR9OJX}@Ne4|W=_|V>MYLOxPO1eBZnB^YsumRSemNbyx}1EEE~j9N
z<#e8JIX!)BPI8&%bYO=$z0fhIb>EiJK>ad07QT$MRxhJ>Qp>3JwHalXno;rrGdjbV
zQ3bmh^*&rmBBz&<o5xbB(OgRNznD@%ohccGo6?ijrW7G#N-GAJkmAK9#1^oGel1%<
ztb9vI?g>LyISifjX6S(-LmD$gsrQIPQ;721iOd%eO-&(Ptw#!rMDkjT<fe$^F%IN^
z4d~nnpsp1_(vm>?-k4DD1ru6**o2;0n2@iK3CX=&OizjyQ|^Jqbad%r^5k7i+n*ZK
zzI<bf^)aR!WK7>VjmhG%5#{9=k<eZviUT8(<1nHdU54bDZAkO?7}6ILL+WBTq{gmA
zRG+<w9_(2}<FJUNI2V!gV*@&$Yd|bM2DFbcppV=J6!=u1qzd$@#aEw#&Gc!dfIexy
zTu2h73rQqkA<0`UBoncPwDpZ1ovYBJp&&gnb<m?iSv^u1*QJ7LU1Gv@>CHM_I<2Zp
zZc{p>->gI8i8{o!MTdCwbV%;6HZ5t_roHF1seHFK{X%Wpz@tsA&$P(AM2p%3v}l)&
z770md(cKYEiodQ&JHj=|&P9_<)ir6^_XV`(&H_4^zJSi}T0n2-f)n()7EoNT2K^}3
zpaX|B=(nu~rO0RyzEh`(o9c8WMxDak)M=NlI=Rfur*)n4X>0C$3i6###mnc@Yq9yH
zF|0;G*VX7vgc_}LRih_bYP92zDzSE`(xn_#^7d7wMHZ^WBcVzYBP#T^Mumo=Rp_gm
z3W+ULp=B&8bo8+@wG=9o++k%pxk8z~$Safor+LJ2YaX3Xoky!Z=MfLhqb~k=R6L+W
zF;|o*C`^ftZBU{pZ6zw0QKW}mio{;1NOp%6Dbrq&{wONa?kNQtX;q;8847dyMu9FY
zQ=l#43Zyh9PakXLsVzaCu56d5QWJT)$R|&Y19CKQRgU;0<;ccOjuQ0cXqa7&Y@f?g
z%|%&Sd`gy@U1Vvawk*y5lcB3UGUQh(L(7lLkiuFS;#eR<zyC<nOqVnX7E6=%F==vk
zlBPIyY3lwhMQUAA6jCHbpN>kAmy;Ats7q1sA4yW~mZXkiNs0`Tq}6LBNmWyl*#Ak;
zRF4FGER&#bCnbn?y#(p#O3+3&2}*k|KIcn_)1q*3N_7(_Rzq<L;t?l~*J6}$U5qGB
zjK;Q$Q9g;0w}=>-j){^&qbTvFixS&^qQqk<O7e1Z8>>?y<k==dIk_S<7$8DMt3@bD
zU4(xB6(-*&!u0imFolE)lcJk2-7yrVKt5rjK_TL-6{3M;A!^wzL{-a$=!&cm)lCUf
z_kBV7nlDHyM+M1ktsv!V3(_|>L0b1pfEup}(Be1&y0KG$Y?lhqprimrf8r<8d;Ih#
zm!Iw);iv31{1mLsPy5*U$-9q__Fd<r-~>L(@#3R4b3Xbf%SX$;@>1MGUK%OlCHs@S
zRO`x1CWgG!$j?h_MtJCRBM)U}@X(rrJS4u7hu*65Q0*)?<-Xvi#B1CX8_!KCUffi)
zoSRzYxoP4%7pZn}(T;L1stn^IZVxWnLtOMioQu|d;-u$ooV2@ulQ>Us(nVKJ@-X5g
zMIlZa9p|9h77jX>!$IMJ9CXZ?gM#!qD4LIh@<-UIwV9p1WU`aaVRqWTmYo{)*hz+$
zolXq1(PR@F?agGPF9B>6ww8@l7P8TOUN#CEVI}4kE3s#@QtuH~s&ZzfYy(zG7GR~M
zaTYq)%0iWSEc7Udg?_oR(89$mv`>_U4!)X2#k5%*SUHPToU@qQ_z&|A|HEp7e>nJV
z2Gt5?FwlJlhb3ol*Q3AqC+aU2Tl_`OzkhH^^&eFCog?i($PE9+ojJd;!1Xu&5c`c=
zJAPq*<S*QB@e8G9e&XYrpIC74Cr0c2#L)2{m{RZqtGE2XPqII7$<t}fPMSvXmD8BR
zJ&j9SzT?!1?|75>j;E);VdT|s7{BiumS}&&r=wp{rr;~?_xOr0<-g*l=U?zs+7~>%
z<_oSB`hu$MQ^*xHh5xLkke_V|b(=opwxG{gPM?wM$0P<+P2%qZlbE7EiDna@@L%~S
zeC+)RYc)RM_2CI@JwJhCTPIL)-UNE}f5bbPAJJsfN34_ii0htxz}fT<*y#KLlf^&a
z;m7asK=OM$;q)GJh2LXO=R1^3c!!5py~81acewN6IR1<s$6SYT+{8bQn(brA8#{(G
z_G8GwKZZ)}qv#Mjim?u(IKV%ORu4z8A#Ma$tQx^_!4W*yIgB2O!)W3(jLM?JsQ7pY
z^-_n>(Rm2NB!}=}?;vVq3}WiWK@^uC#G<~pXrJ>IS+~B$c9pkSGV}&d7rntVUT^S%
z)*I~p@EUn5UZb<`YrJCk8kN5f;Q5*XG&wqeeWnALHrtO|ZujGo@P5>`>qi~_el+Xs
z!yU<ec+R;Ghot+^?A0s0kn;+)x4*(V^;fv%-Afd|^b%kAzQilWFER7y3p`W*0*iuQ
zV5`*&{Lb?NvEw<$B|pb6F3)j~+;jXo@C*|Qo+0D?41elA!+TS`SX$kS=Z^Jaj(IO$
z<Lt$k51yh}(o=MEd5YC?Pf_*F6U;4of(!RP!A^rGcyhW2m)G~8L`V<*vhBf1!5*CM
zd5l8m9wTghj0ZFxWBtc&l)2W8;ep-AZr+V4T-|8c(S<{)U0AfK3y-LDq1*T)bgX=Y
z&H;~b&(cSj%<%}@+B;DswG(%5>cqz?ow)K{2R^&pfd`Ltpptn9zU1z}l1C3Q?94+v
z=<yJJ7d*t1lkJ#O(~g}d+fm4_9X&+avHAG}T$KL+ukC(-)`kyo?Du^<+j1Y><L;xr
z%Y776x{sV=ZOC)E4dnydaG6CL`ti46&69h`pK}lQd)>n!gL~-p`!4=zxr@2+cX8c@
zyC|)47vI0XgB?|Ou=&ItY_Yq8y<&IpS6?gYl(eGHfmUo<(uyivt(el)g5sGiSh%YN
ztqfZ5+wa?W?aplsNxF^O+-{?z#%)|RbqhDu-@?O@x3FOCEgVq1g<9{LF|?`~Cr&n_
zr$aM-l4{0?!6wwJXu_euCM>mX!sDV%xUIhtoy!_={h>zmUfzh&f{l3dMFajUYCxNV
z4On2-fWrI@81t+iB?{~Dl5ah_EUiZYzIuGzTZbhDbr|bghbNZSVK84ECOxag%EDUg
zKTwNu%WBb6pcb27+(fOCo0#u^6E!VvVuSF_x%b{ci3>OI>5&^)WOD;UC2pYaU=99v
zxdsDH)L`PunmM_t!H?tBXi!s)q2bjyysjG8sa9k6=j*t+={o+1zm9qC*Kvc+byWCW
zg`eB1@bQ@{yzN<q&5NtBgQE(^d#<5q!8Noycn#y1U&A*d*U;k4RlHhx6%9^a#roA(
zalO)2{5Nq0s~WE0k@zcUzxfJk>s>*anae2AaT%4eFXLjL%eZOjWsDcRjGg_Js8~^n
zM^9AZ@ajr*pI3>4lNA`yT!GTb6?k`B1%?_{;41bCRDW^_`HL>$zeAUB*5(ol%3PZJ
zHWzVS?L~}<y@-$8FQUrAi+F1G0)FbcfZpdX;Ag)J7;b$5HKi}$^YL;_uPw)|apj0x
z%2Cmv97WjX=t&tW7MCF$DMJtYGE7q_!`@G&sD7&yPo<XPhh3$(9ZPYPuM`jWm!Rb3
z5^N4B!6PmuxKy(Qh5r=er;cKLnOBTGe#Q90rWilU7NfvK5mIvz`lS|Ot!EJmF-5pf
zun1qhDMXj5LhOqyL|?Z;6wxol2DU;x+*^QV<pn5uq5!AX6ySh*0Y3Y69{W4a<LCVI
zC>(Gem)M_2Kc(|{<4ZpB-OESs%zW(GpO5xd`PeCwk6R}4@b|4eEI6Hqu6y%P&O8st
zCGxQ4T`rb4=3;j09C_zr+0tCRC6<e$V>u|@kb}-CIhgI0gI`T^&_yf<TgI|+X+t))
zq-3LucQ$@onvJ>Q*|`2)7Rokd;dojWw(QBma`P<Amde7ckC|9<I};l-GV$%cOcb%s
zL<jjyOqn`|BlpgsRn9rA^go9h4(G5;<s8D#v)J8v77rJlMXjK-IJWjIUe-E`;Vfs-
z^H~P2tH?ly@C<Zx&p;2O3_Qx0f%$LG;FB9?=CJS#x_h0$t7d0VT<Q!4Pn^b|t*0?4
z>ooHFpT=T`)3{RYH2(XYj&+aIF|0ftT|?3lH>IPRVLHn3rK7@N8fw+1p+!m>dhSWX
zbc;0Xl1oFWuc_$Oo{Fsnsi+&2in-3IsHB&QrJSj_bRY%$t5Yy4F$I@-ry%R{6zr5u
z!QwB;7~P(XhYOR@_joe;uTREM{bbDHNygT<N%*}s2^Xa$;SrxCd|;D=3zU;E@mC_U
z^(5lSi;2h`k%;F!5)mm8--;z-`o{!xzMFtbc?tL>Faf*QC19Oi0$%2xqqp%`TNjUy
z(&KS*e>}?B$D`x?cuf2khcBPUq5icvOpK4i-(GQZ_C_2|D#YQ@AF(L>I2J1}#^T1v
zSQOeGi=C#im?0gDK3`&RWk(E}l*XWTXbfs?i9th(L2HQ^+%XxAu@9oLu_zk<1V^K#
zdo-p)G){>{qwA+AynjCmt%{=XL2wjqa*x7q5QQ1yQD{3Ei7f4r*isycNg<Kwy(JRu
znMgE|ibUNn5vbc4flwZSD<dLs@Ae2xGmF4`auLY!BOD!i!ZE8d9Dl@yqq}!Fwp)dx
zl}b3?n+Zebmtpv!It=4d!w`JK@Z-v`Ib9xx{#;>bI~0oZn?sR5I~4y0hT@O)q4>ur
z6nRBMQRPzzTDFJa{?ZUE3J<~I?IEaV9)iJ&A=v->6k0w%h1ag1nzJWP;T7LgXtw$k
zKGive0lcSBc`O*8v<74H`CxPn4xXEzU}QH9#xdDoESo%uXD*z?46l=TQSBu5ygq?~
zStoFl>j|utIDvZI$MIVHaa?JC9Di~h$C{QPj1CUMeM^JT^Y=0ItvQDA{>QLk(J^G1
zJc=$Ck7C2_qlgQR;+^3@+;u(>rMCuRpJE_Zy*h$9XOCd!h9g)mc?2K!97dLu!)W7l
z7;}XVBVR`VM#To8jC}ys@&w?%dxvmw#32;2K7_y658?D}f8+}BN6qE_=+5Gg=bQZS
z_X$7TY37G-W)9-MhJz?{{2(@)9>lP}2j+C(0kjA@fTpGg(C)7<de-}5dXO*nn);&F
z%zjL0*pHki_G7%+eq1oS4||&SVN&ou^jN+R&Dr*$VT%u%g!!O@wGSTT^1%!D{=@H4
z|KS?@|FDt&zqug(z4$O;FZwv`MP;$QINY-bZ>I0TybXIWLv|15zuJxU*}HMvV>ha+
z?nb|1Z+u+rjh4H;@s5u7ocwv=-^*Tj#m@^5n|R^sU!G`E?}_>+J&`Ot(V5c|gWGmt
zL+mc(cie@0#CG9}r#o@u*`4^_eJ92#@5E)pJCLn(2lnpWfpz*j@XFWiSW~kdJCAM0
z>1Eq-A;)$++_nw7;<h2PW*c6Y+=k{aw_;z;R*c%Q6|FV5qS%B7PG0fA{s0erHJ4rV
zJ&OnO-ra&2y9JLpZNWClEvWfwGiKy%Mp@6zSgx}f9j4szZ?!u%1i53Pg*zVLamO8<
zZn!JW4G(W}!?Vh6*gm=m1utzv55G-#i#DMV%O<>jcO%-yZ^U=&He#mSMs$Dcih8B4
zD74=dXBWF7%ghE8Y2APZu^Vvf+6|Z|y8$QPtjE=*>#<?~dRzkQ@%}#-^t$VU5(zHY
z?c##jiY^#9;*2{lIitrRXWYHi8ACap@nXk197$h?dRx|En8rH%@M$e>t67U<C)Z+-
z-P$=Dd@c68Sc9j}uR-s<YjB0}8l)K~q`OXNm*|9^u1=V$;)IXhJEB~bBl;hA#C{t`
zTrc8?120zNp@P*Y@3R`aOjctW%WCv|unKL{Rv~Ozg(jM-(CW)d+*ZF5<0DpLo6|}Z
zm0yXwM;x%L(gAIbI?UmM18xy^K$e&Gc%{%DefQg=8Do#~oc74owE|f(S0In)3Y@oS
z1zP{L!@zrXSf65tf?Mp+N6QXheX~W^W?LMJwZ)(fwm4tS7GHj{!Q5IKJQ!hv>(<(!
zrIHOUe{YSes;$vG#2S-VTVtD?H42Vd;nr(bc>AOk8m_d$%Q9AII%0{vS1j?w2}?9~
zu*6@|miTbk0xw;$z^oG%c-FxJ3uP>@VPrWDUtNx}!OPKo)pEQjw;cJ#%`xD*Ierc?
zpOYDL6jCzBs~?u(j+@I+HF6nFIxoWqs>|@&=eZOQjb?Z$&J3G2nc;w@8S?*FiZ*wa
zVnXUt9NxARZ4H*<jen*H9j4flX^NZom?8(6;!SQ-Jl4Ae9g5~sy7@0bamyvhFSZ0l
z-ZH3mnL*2w3?5j`;KjKkL*G6U+Se0aiX~KZBh1t$)cB3qcpq`cSwyMbh`oqdz=L@F
zIpEGxK-VLH8|?tSWdOs*P4LnU6C8>%L5+<j7@%c>J--&?+~u5Db#5`@-o<!-$zt>p
zSd3!*#`xfpF(#fc#;uOVXr^q8T2n@-a@z<sQjHLI8sUb;Mi|0ngtgBMakkVD*Bmv(
zN(V!fQ#8bsPm55hc@dT*FGA}bi*V9-5f*bT!adIokSRAn=^z7SS#5yR^9=Ckls<B|
z>Z9sueYE%1#}kY`HVNpX!0UzRd1WC!3|)xJ)-S|H&4sw)j~>45(8KUNJv8yt!>`tQ
zSTCc8$scsluTdAbCF`QwPF>s%x_F3B7t{K6u<5c6PKW9svq1-Av~_TFMjKamYvb)g
zZL~O|jhznK=s8at`Mzpl-CZp_a!w1E@6$pl3oZO1sfEMuG_k)y69<zu@yjmFIeSqP
zO@uUY&)@<quU>%DF$-|D#{#@+v;b9k7GQRt2F|~tfi>Y8xPFrcvgm7IHM<5Ld9IE&
zm(+1yh&pm?P{;2&>Nv%sj=!GHN5Kp8Q8#!#Zg8283EK0qYgP@Fo~q&Day9HbsfMdu
z)bPHx8m?hc!{Mi@7<xe!^-ihc(0WxY)Kx`aHdVBHu7WxhDkvAGf)bllP}V>NwYgN#
zrcW7tt}0_*lrj!%QN{&}l`)848T;POL)#nkupwa{F55K^A1;}PJH_T9_d6x5Zc;+u
z(@Jwbff90BDd8JACA>SOh&64BSe2`Y^#O|bXq6&P%vVIIzY1vIqkz%n3fOZ>0W~)&
zV3dIZe&trc-LK{GeYHFWB*>$nr#x0HmB&qz@+dkXhdr%wn3pAoNBrf`ZKWKpm@kLR
z|H`7(6Ion)Q5N@x$zp=LEY=&#;&%aAq!Ag6Y>>e>=`v`wPX@2q$e`{#8NB>M8qK<-
z@mZ-f9y=wCTAQSC&`=tS`K8f+SPEA)NTI=LDOB1og;I7>D61khw{9fStVa^JUX;Z6
za7k?4B8glmiEBkAvFyDB^0i9fp==5K5Fmkjo#t-4(2~Fyb_vw#7stod;uw)6j#hib
zQNT(ZUn`1Z{SPrL=oZ7Y3u2fQE{3N)#ITseuvuITM<zs3qD>T6ofpNVAW`gJFN(&C
zL@}LT6j?__@NlyT{x~Osrw)mrq>~6<(-uKDP7xG*BaHWJg)uQ*7(IN2ksO3kQ9~H{
zS%s0kPY5|{gitg^2p9MWp{<<|9#9j)!heGJ_Jts7UKhl`Btd+#R}jfo5KC1BQTd+$
zo_`^L3$F`cYmxx&_)h=@>;$k$O#p*t`O)GPKZ@1x<Hr<!?AphV4fgz4rNNKa+4!+(
zfDe0W`EcqqAIkXg;R;7S4AtSod)#~|G0cm5n|bkJ7B89v@?yCQFD@|T#R?%_H2c7V
z&+qZzu|giyJjH_pn|UyY;XyBH9;9#FDA~=8zb|p)yBKbK>&1<OR@^wD!i}u6T&UE?
zh1NH@@X%>4tnlN)DJL#mx{wP~_~**woVf8WCq5|PM5|Mr*tUfeT}(OggDfY;{NO;t
zryO&5&Vji}9Jpg22O6y8KrU?#9O34`juCcjYGKFPe0FR+$&T%t+41cXc4U!bN6nvX
zxUrWFQ>)mpH-!yV53u23M>c$_$A+c?Y<TfKE2`gT#gY<MG>l-yyE|ENhb1fWs<Pq@
z7FOK<ng#V6S@35T3qCl;GPj4rg3-i+0WvK3?9(hfxi|}hduD-6YZi>g{y{*|KX|a?
z9~h|qgOWEhV30cl4>r$0fWizIz4{Am=l;T=>tE=R{tLamf8c%k9}sr=1J)9MAin1}
zjHdhsr?tPKUGz7&cK?Fuq+d|v^b2;0`~s7%pCFU;6ZoBeg0RR>nBVmS?2~@LDW@NB
zU*rd<c27fG@-%R-orYAgX)x&d4g;y*A=~*o_(*<-RlVQ9?94YXcl`$IWWPbc%db$L
z`4uMJzk;>WSGe%{3#jIQfwJviVEOzn@P1?p3QDHHXZIA?>P&&*#Anc}{0wy9Gq@Oi
zhLG=*&{Q)Cf=4G|ujwSb`1c81Z+(KX&`%Iy^9f9NKf!eS1l&!SfRZ&6kRdSvXP<q9
z@^c@dee*~7tNannhCe`3$p`qd=L76q_yI<z-ougW??Eo`Jv=mh4+$*qVQcF<u!wpG
z#w*`}iO4&!dom7tGR7gxeH;dq$3cH&43f&mfOX#(gcy#2_>WPzRyPVef=5BkdKA9$
zj>6;45xA8)0?n=?(5W~A9|wm)wsaWQ`wT;Y;V{hp7=pbGLogaL1PAPffL~|`uJ;VW
zzO#b>9)lpPJ_ytA-@?S@x9~OKE$}XV3k%ub!uI=bpeXST{B(H(n-tza``~L>S@s(G
z_P>T>Ca*zjW&lQ82H<MU03@s#fIyi6@O#}4LB;)$=F<;##{Dq$rw>e8`XDBz4<^?1
zfro4#ym|8qd`n+}u<t8qfLCyI_9fWddkM;kFM)T%OJJS%5_ra5fKufPusHkz4lR2D
zHQX<Nr|UU*Wju$cTc5*Pt>@4`^$ZTzJ_F^@XYkD78DvX5gM<CO;8NTRw)^J@dtp6m
zFZexp3c0CI;f4ECP}O(}fs;?*^^GU6F60S3b$9}vl23s1bq`!C?ScIVdw@)PK$NQo
zem;5(6K5a8=N*rMZQ)~3{n-spx4R)Ot{ZyScZ0r4H=O>^1^m@rkPzGj^BlUMQL+p6
zzIg;17aqanp+|7n{1IH>e*`(bosgT~2^If!LOXQAG+QU=cXmL)*$!ym*#Qd;Iw1GY
zLr}W+5Xw^?g4LFX@KNg_od4bqp10Zo;@d%LV>_^`x5K~B4}h!T0VqU20CSfIa6sh&
zT%NcOe{bH0^%3`>aqWFDns*<nKeU0(jW!q#YlFl!ZD6O=20|b1!C=ijXbHOqSJ&Kw
z3Z;8+<HKEebmK033%?5*>+ZrX<-2fo;tmMZ-2uO-J238Y2llAlfnT3nA-%B`mc_Ng
z^u|`GUC;`#-&<f$OAD+|ZUIM+7I4vP0q;MzA?p5ZxPIm~Ozyf3V0;_m*lxq8u3NA<
z_ZGbHxdq!zZ^2K#Tafvp85~NRf#+~DJhpCzGKpr08)|}}t4$DistH1!n&8~LCTRTB
z2$Kzspc~%^0q%{^q0<P9{xrb(2MsXqTmzKtZUA#?fFYg+NPS)pPNnrAd!!yFZR_E&
zbUoY}tAmD`I=CBI2d_5N!OVg>(D_*lo^7>oDWeuxch}CP_o;<W-deDIc@sLyZ-U3M
zoAA%!CX^}Mgl!Wy=0YiN!1sh3@Yv%9)EV4>%d9ux>f;({E~tT*{x!gAQv=4*HQ+a1
z4UIReK`OQyj=ERFd%bG#oV`9b{_7BW{yNO}zYg8j*C9swIyk<o0_D0Yn2D=`u`N~5
zZ%_rV*{WdT$u;0ExdwWH*TBQ!8e}V8gR#l0u=Ms-$W6Nnf?ii4g02F;z*Wc^xB_(L
z3Jiu`fivr`fUDLOQ2%=wW;!p!+x*MW?SC0MY%jx8xyvv<Q3>3)D#0+V5_Wr4!Ud)h
zehF5>y0;Z@qpAY5qAH-+tpXP6SHNwy3fSIz2?Wb8LF@5L5V7VGIICX*y<ZnWtm7iE
z=U;?b|BJxA;v&c?UId!D06XqnfQ+*j=DzU-P`9`M$E7a7oA>45*i;VpQ_EqscR9Q^
zEr(;G<)AuR22X3tAT_ZJ+;^6N0hNJ>P#OFgEQP6>QurEI3M|`8K?X`;i9jjrep><s
z)g>?<TLQSP1X4{(;1_=h?0H)Zqt(UW6ITqg+lnC@ior&(7=8~H!Oa^*5SmZ~t~-kW
znIcdVDFWHiLXfL31dWtJSn6E}Tg(a}MxqdIy)OXvTLs{BrT|KP3V`3L00QL-;LGRp
zaOmE7V9z-ZS^nq2+~GV-s+@<?pZW0LqkLFWoDY)6^WoRJd>Gfxhe6hS7=4}x-z)P#
zI5H26w&cO~#d(k=kOyyuazVc?7ot*f;p6UHa9f@WPh@hz^>Yr4-phfLxjCSEI0w2`
z=RlN34mkYF2ASS$_<SiF9*1W`)8=fbUYrd#1hb)aBnw_PWWk^GEYR4O1#UK3kg1df
zBh#5ck1`>nBokPJGr`|A6TTQ^!cpE#5EwiMrM2h4G4&j<{C5uOtj<BO;yG}dJ`389
z&Vo?sS@;`#7QSsf3)6;YfnDG%$c<#clEw`1Jd**Lz8UaxMFyy;WkA5+Gtl$&3^0{v
z;6l_H(AYl5m(0~A=h{D=hJd!ypmzQ=ygYUqGF?uCr~YYJ!h0IzhSGt(Aswbqr^8p@
zbogzb4t(nAFn=};>|Ufnz_m1}h);vhUTLtzA`Oxh(qM8rb<So;h4u@nU>lJN9a~dj
z^O97UmQ01SpHsl5Jq2cpQlKF?1tQ&2z|ABD<_u1l_c0lS?<E88`D740o(yuX$*{;M
z8P*6T!?AZsP}!OUA9Ity=vWeju1|vgMM+>Tm;{%`6G5#t5ejk>LHAf9G_6krH^W3=
z5lV#0cM0HiCjqqb6X07=0<^g%K(TQG#ET@riI4Gcq%9tf6~;qUa6II=$3p|g!>B|&
z$V|n-x{f$FQx*p!;c;`9PsTx(SsZZ6$H9>wvGA=Y76LEF0(X2Y<m`@xWj3+!PBj*?
zW@Es$F9sBE#=wX47`S~f2F^RiK%8z2oaBvxW24a!+!755dC^dGJR0t7iiS@R4a$<y
z;Pxd7avw#($BR*55fcUZUQxhn9R){Kqu|?YBpmLK1opZ}$jFF<#Q~A<YF#A6EQ$mR
z;kovS2<Uha0ePhn5EKysTX#mlDvJoPRE_|Pf8k)?7Y>_h!@(~j9MS{Aq1ibcz8Z#u
zzGyi3Plmzmjxdn97zT%9!r--c7&zL7L7RFQ*mH!zlfh8%x)loSd7)5pA{3lAhXS8z
zD749iLgKFw*z!CCOlm?v`g91e914Li>q6k8VF*l$hQRO7r$DId6lhnT0>^|?5ae?T
zuC6=<pLI?F@SlQ+_rWl5KN!r)f}uDn7^J;}A;~rv#1;fY7FRHAes~g6V^6{h`;%b6
zcM>x0p8%2Q6L8k<1Q_w0fc|^OAtUlQ?65r!%eaq&?!6$;iVOm<4FVVLAPBp63|b<O
zfw<i<@Z&iKLv2T4XY^6{zTzmH;X4W|+5>?<E)WJ*2Er}DK&a|G0yT+8pxx=nT>p=N
zTF+tdN;?d7E{8!``Y@zF4*<Dy0Z{1{0M3d5!29|Tbmkp`g6)SOYW^WOKI#u4rT%bc
zk3ZDw`oq*GKQOuC2eE#B@OiNx?D}~S-q#+4lgAH&n)yL^#&!@g?;L>rQ3qh1!vU}n
zIshxWeZf7=7fx*Oh0Aij@TGr0Smy7C!kzm;Qgc6~f7l1=mHVLe;6Cs(*$0NdeSoFW
z2L?|0K)baMwDJ1DlaBvjGWkD{TmK(8%l!vA1AF1e`Mu!bwHKc0?1e3#_rSNRJ#a2?
z4>+3b0de*{bC|Xp?#Jzhx;49@UTQZyeB})v^1MOL(;HlMyrJl`7qC`)!GFiRVAR|T
z_H%gw_d`#pNcM!C8$3Zv(Gz9{cfp&|UGR9{F6c4d1w+4g0^6;fU=X<zd{*s*o8mh`
z{N)Y^%G&|oJa@n`y&WL>Z981A-45QTwu83acK9Q-9bP`&25ni};LeV1(51Z%-cM}>
z@ta%0K6vY#d~Ahbp{-!s>j5{iJpgxkz&%|L*!gV>h}3U^2ccUa#bFEV7T*G^Uu_19
zg3VyHck`UDuo?XSxI=!6JM_o8!vbe_IH}+cqr-0CcF7F}4!Oa8GdB?Cc7ujTn;<Y_
z6IgEB1oGOOfbHu>_))hJeur%Y{?!{nTY4jGc;gBwWv=k*peq=fy22SwSKxcJ0b(;Y
zfZX;CP@}T}wtrs_@=fbuFls&2tX&W16xKuRs0+kgc7ZcTUEr#f3%nF^0g)HZ;9TGg
z#Xio!h0fr|<_w=6u7ks8)`8IWb#PU89qjzE7Uthx3sZ4x;o*k0a9wpRT$oq`l{eNv
zbLbj)y?PA@$gKgJ5hqBv>;yx{oWRD`397}Mz<9tBn#vr(^^ha{Gk1h50*-L-`D!pP
zTn!4otAW#WHT>aT4YNI~KqPM!Ec|a3Y{FHL%CQPwbgcy4?3EC|dnNo?yb=P~R>Hqd
z2T03w0PuEzF=GcPWOaajo%UdzX%AZ7_8_;|9%R|<LH*GRFw0s2J9n>uGbStG8T$&D
z-)#pca_nGauN`b8J9x=u2i{L?f$h94l<l{L%}Z@TiQg7JKDU8;#WqmsZv%xEHc%vD
z1J?$uq4T0OOdqudofX#bpR_g9j#z<Yl@$bqSixr}D>yLE3T7uP;cUGnn8#Ye*Nv8N
zP16#Be^|iAyB4r4-2xWvv;YGm3ovD~0O#)I5SX_d%J(maakJ%MD6|}+`_1QY*c{w~
z%;)?SbMTNihi~tfL3-`7Ic#1Ae>X0J+gi&Y?Uxz&-8X|RXU)K6x7ply%wRXK8HB%B
z3YW^3!eHQ1P_v&)^&+<v?!PykvnNa;Kh_lHxtl_nt|=^=Spsi6mOx_85?HZ+35b|4
zfgzD4aQiI-m##8U7|KA2GXvG?40KNu{Jck?bCzJw9)jyj2m}NP_75P;{Z@w!r{?%t
zg#Ggo1g8P!TnF$u3!uLj;IApbQz3xbHzsi5stJ^anZV`sCeW&B0>i%-gK)=Uu*qEv
z(FYd8bIZkGD76?e#*Klm&KM%&jX`9qF%%jagB7PSe12vGCFMr2=eQA|lM#ri8NrY5
zhA`e{2*a6%@Nu6Z%q}+sB}qfD8(#z`>J~v$!XgmZz6f?MUIh1e7J*5h0bH&$0FzJy
zxVPQ_c4!*_|37_b?AC{%B7Lw4)Cc)h`tV0tA4b0|g#NaL@H%TDeDqxi9M%hAf$Tz9
zKcNRnxAfp?x*n+S(Su+!Js1_!1J^NKcv`0mo0D|m^G;nzAYA|<UHCAl1LZY3;2)<0
zE4Jx?mWd8X@aq8I8*Sjft_{*L+OW_=8=Q=_;W)20Tp!SapVzd&CRz(}w`c*Iu@?C9
zYQeh!P4KDGgul_6aN0u?n8lj#j!zQ`-Yfv`>IHyt3qWl90{8(7U`%iU3=V0)*i8-i
zk*EP;o*DqA8sH_S0q4inVXRRdAYC0&_Nv2=<?7%iqYiIB%?Hmr^I<x3J|rES4~tjK
zhv9kiA!k|*ws)w(qCz#`JEjJo)~G?BrW!n*RfXrhsxW#<75;^(g0j0RtTIxCFg{hd
z`&I?SZmNKHk_z1SQUT*-Do`e+0$QJx;o2Q#u+3J6QGaDfT&WBe^Oa%t&pf!-GY`&Q
zm<NYK=YgBsJXmQo4{Z78_>dB~)hU60suG;ps|0r}m0(6*36_0RgxH6Q@U~D9mLFGy
z3oeQ<Z=oV&b18zxYX!JjqX6rZ6kx_%0V<X&z-~DOSol>QX4>VUw@@B#9+!vW_41IV
zKSw-s<+pNBTPp|8Q{{lgM-B{a<Y3=CIjH(63+#_&!To|PG=<56?iN`n09lwXDhn0w
zWx%3U2Hs@LK-6Iwpfxh^O<M+Ta?I5Sq+#m~X|PC<p2Ib1P_vN+Rb^?=`7H%YpGd*R
z3Mn`lB?T4RrC`idY7X0_AYe)o9=1z@PO&7U1xo^#n<RuRmINLVNjURf0u1g*z~fvA
zIB`@0j9et(i@pTZ@<~A4h&XsPi-SX^I8cB%7_1S8MY`g!gj*a|4~ot0?TA5gh8W!P
z6NBHY#lTcs45B#2p#P01EU6cTf-|BZ;U@|St3^RnTNH9QMZx&32=vs8z_APw(DN68
zaYqrjs3QV_+#=vKBn$>k!XTR|4E%?Mfoq*G@aYSK48Jhwj|qWeix3>i6@v0(LNKyH
z2(*laAV5S29)1)Ao%@22S|kV@A%bvXiy*Kr5rlYYK~ViB0L@(j;B`r0ZcPY4m!|-v
zSPH;qWdT?;!w*6)`QckNKMbYv!z*8Y=v&1PquTuNi<=)LM)&}4^TDoMKFAE>gO?lm
zKo$7lpadVZPw|4@BVNe3$O{57yb$HZ3xd|Xkg3WGhAh0$-OmGobv&SbmIsCcc%aCc
z2Yd~Az)FM%ls|C;=R<DzTE-3UBDrCF7dK2=a>J|&H^{JX!(2cX?5O90^mAO$b%YBf
zHgLh##awV*oD0OhaKe!;P8hA=gw64s(6^TpcG`2oH%(56=jMckqa5(Ol>=f5IKVoD
z19-M^K+iG`C{f~o&>42{?qdg+I(D!>#}0OZ?6BIE9X10y_)D=v>UTD%d%^}EuCaky
zDjV!P$Of0zu)#kAHrOD-1~(^JLG2MMq*t(lNCGRQ`mlo1Dpt6n%L*$6SmE;r7RYL6
z0jCQrAP~y}U3*v{+nxmuYO{bNAIqFxoHemXn>EpMo;A^wm^Cqa^3P;-+CP&(=YJ;G
zCH|SPKAkbyoIYc6-(|+cT586myZ5h&&zZj_vaWysXXrY>a(bh9678Xok<w5i6>&&?
zKPgG160%B}WskB&leU)8P8yW<4h>pLLwoN%zRU=J{`Y&H^StZc_ulWm=RNN^zjN+=
zsbRq%dfM`v?1FyNsYAc%gv4*U)bWeF!hTVX#V`84^cQXJou<%d)5LpXnq1_kNo4pZ
z#lQGTre}WAoK-)mo&AF{lYdae<sTHZ_6J2xP0^d|DH^;vMN+IOvikR(@(aI{yz_So
z-TIy6c)wF_#W%9_{zmh5eWO;fZ<N^hmHYy~l8f0_a+Uf@LA_t-b@UgSu>L};l)jMN
z<Y#J6{Y=}hex@?@&$RcyPxQIq6NNf|qW#-Gk&M76`dvLq{r;2GzHgHH7EjW27n>xb
z*tFZ4O^=n>H2P_R3^FF@&5a3SVS+wzPSEMnaT50&r#j<t3Y#}h*IUQvNcb2XI6g*}
zieq$@Jxal8qf~u;lteK~$7YVwyRs2l<2^#jyGMw%aD<vWhsiN&m^4lg(@fQ2YWY4y
zd9Q{j)nSM-^oFQJaEJ!$25DZ<AemSWQkeW8{Tv^lBWVNFd}DwPYYouX*#q>bvY)mE
z^b^maerl5Lr}W`I3Qy{zz^i@ql+{PsTz%A0(Mux!y<~E*mm;NmX~swoolowek!wA4
zc~cMZaraPiRW}`f)J^h-yXnWWZfcz9qIVfxlxNpPrMg|zDcD6^jh(b1tdnk@?4)w#
zPFnt>g97q9NXWH=9vOF#(!vg^>1ij&xOUREX(tiQb{gkur^d=Qs(RE$^%iY3yu6M0
zzO<71t5&+|+)9NzTWOJaD>-zx(A0|-x^B}#JggRqncYGrHO<5y)J(O<nkjZwGr9d}
zq8o)xbj_oQ9QQU+uv8Ph9ciSgv_{%+r;+Y&YovbBMl$SZppw`IGPvA8U78JK&)q=E
zwe>U-QctN?_2jyyp3eSPN9JX9WaeK-)`#oJL9vdWf2*bT{90P#QA=k{YpG1SmR3)E
zr03ZmNy+&my)pVohZcV%?x7kgNUfoJcWUUs_8L;3UqkY})g+x*O^P?G30telQnZ>L
zbXHMCToui|Rz;_Es;E-9idgNHl>5Arwp^*Cw#}7vSE!Oy+ddFG_5<bEejwk?ALy#k
z2eNLfAgkvUWOJp0JhUq)S-66F+sjEhuAI(YE2okz<+M_?oI<<alSIOMdVcdgX>EH?
z1M}X~<GwQ5n^Hzg@0QU|gEDGgR7RD<rBsnwN)67XG;UH#BGRR#HCaM-Z%U}dql6?5
zme8H$B{VTrOxDH4^vS=NoR1dMvem^@`>%*RtBS}Zw20)+7ST+NB4YCv(O~mC8jXEN
zzplO`@vZMjYu-D$(*KsS(%#Z6r?+Hb@|H@Z-;(<0Ldq^EBpshZYPBe&J1T{w{I7sU
zs|qMJtbp#FFQAhspxr_RWYC#UyAt#1=$(AJYnV^ZCG)9+okx=Sd35GM9u-;Sk)moI
z1##q&_{TRC@$?O?yZnY4wcn7F*c;O9e@!zoUQ?~hYf3VGO-~eFljqM@<oW&;Jqdb6
z$!A_sz2+<85_(0Ox^n4WaxS$v<PsD7NzdeRY2j231()WKVqgxvJ)J{VnmM#UD2M91
zvMD4bn=U$KlhNL6+Nh9CtEaO_ts;vyhi1{i3t4n`a~36wWzqORCaulRr2FofG-#Gd
z#wwXqG9#1p>NBW5CWFr2$RJ^Z49b(tpzEL02}S87{5YM)PNh?wW;&G!r&CdH8dYVa
zQJ-rX%`{6R6_qqP$(csa8&YZNc`6y*PNg)XRFaWRrO>Gqk}Xf6^w1PCzLY{gwxrOD
z1u0}To=mC*$;1_qOnp|#RH>0nZ-p7^OQOoGB<k}>qFI(nv}SD*o#siRg!V-Got#K}
zToNh!Kq4t9C(={SM3Qexpv?FLGPX~k?|Tv`S}}nv|Gp&ox|j4L_9fNbeo48zUeZhX
zm-PI1JSEk{Q(<&Gb>57p*~am-VOcy~`4vZRs^dr`I*!iWjH3plING)>j!J&LAj6s$
z)D!)J?%sMq3cFrVtNaUk^5;2O);=e-=g&#x&U5;?`#Fs%KBwV-vGl1SmN;L=l9XdC
zZQUPB*Og-_gDaN)w8oHON({x_k0Fu6G32l|hW_xykYi6YiDpMrf_F5ToQNh)&1iZp
z8cp^iQDjsQMav&Y5&!upn%)vcpBG2b*DueAqx>0(KYd0Uu0NyWM$afn{u#CY7fEsr
zk#yr_BsDul(&j^vl)fgCR`W$tPR~=?k@J*>e4dh*^;2SLJ*6MwPwDk!1bLK3(DCpH
z(z_NxYmFjkr9uQL{R^k{P2psa6i#REhf{z>IF+ssCoYk2+A$nPAq8Rd<4G8qT?(TL
z{V>`h6Go-KLTOK3D2>I3lBaVhtv3&)@pYjTClpGTheBveK?p4k458VVLuhJy2z`<b
zp|5{}iK8)?#FK()gKIDyJrYchHU?9@STIRU1kt&YASw$FqE$D7D8wX)<|+lzqgg>D
z(-lZr*@0y07fAok1X7A_Af1y6B(>=$#98-*+Fm}PH}{^<3(F@Iw($vt&V52L?8n6H
z2}bpik7@e$V_LrNF<GvDOp*MLX=30JX%{@Ah@eNrbLA1;FnUB^6(7+xu1Cbx^^k&d
z9+F1DL+U^OkRIzlq}_54Y2m*B8g2=og7g52d=Nlhrvu1AH-PRg4WN6!{pnGoKP9F3
zQ>~{z{k8HZH64GtB<W8%(|*L);77-k{ixK#kJPOE=!Lc)EtmA8<Y`~p+~7-X$-Z>Q
z)0b9S`%;gNFGWcClJ##N=H*2n5=--;DQ_R@J?%qHTYacO#)sPfKA`c|2Q(||0WJ4`
zKzlAcAh#V4s8rzr335Fkvu<xnf9*~40=?<(6>s{o%bU(Cd(&4wZ*my&q6I}>lpWzk
zN9?>v?4TD_k{9`id6C&CPg-5+Ny2fSG<DCD299}Bhn6RGF7c${Umo<k$%E!+c+f^a
z53;)8L7@g7)TZb`GTa_?x!;}23*BjDxH~<(?M^%g-N|XaJ8{o*r+_bRq*&udr3r3y
z&clr)PPtM2RyPWeb0c$3H&X6)C7wK28Vh!%#v86wzR#6P*11xJm@74ZzEAAx`y`Nf
zpVU0>)6vuSDQMe$W?tSW*;)6=w(lNQ72YG&h<g-#=N<`}-y=7TdnCB%9tHk%A>}3)
zs>pDmivcbqY2!lmyIjam)rAfSyU=pBGyVJEOkMHLRO;?bS*M&Sd7Cq(C^%E@Y-jo~
z;6#H(PQ(-CL~ER!=)_ScirDN#eM_B4nZt=3x*Vw^&yhBVIZ}e1BT1V(Qm7`AN;p#D
zZwJz8bD-{A2XYB=pfxugXy||gMX5W`sf7+i)Al6LVo#&l_Ehu4p7O5SQ~G{;O5I>j
z*$eE+^YdNGPPt3pF5M-qHFqiG%N^oLyF<=4cSvOI9g6>EN2VEeH0P=vwUZrX{kTn$
z*|#b5#%+q-c$*4;-=eYCw`kd&TXcTYEh^=>MXGOa(hH}Xv|9Hjy`O!PE|uM&<?c6V
za>orS7Q8|6)z|5%?{$jVeVty-yG~tA*GMer8kw41qZg9bh`;A5**&{Te@|Q`@8wrX
zdF%>xBwV48i&yBh+7;59vZb{-wxoL7mNYimk}0Px*%#YTj;jsLFtDNh!Zws&dzscf
zx=gtTE|cMs%k;VX5<QE$L?^5-5h-1w`JXP*tn`aC^ZG?bXS+yB92aR{(FO8#y+Ex7
z7ii6#3l!LJo`i$WQ^4W#v|RQ)l@FbxTQAR%#-($_N9Pz`JxdMwXX&H!S!&ZiOW%af
zl0^L(+8ua?o*X_y<FaSSXyh~%B%UTM+tXC7ewxnyJ4FkMPf?xwDGD(@MYi)#(ZP0W
zGK#b&6KiWau53*%->fJ-*NVQ_TM_iE=!u{e&8R;~*Mm;dU(1u^r*M+iu}{!o`U#4@
zb%JcPPmmGs2~w{)PHP??C-uX}$#B_mx-@=_o~0e5zMIErwe~Uc;yp$`YL3#yCr9ar
z#ZmH9I7%v$N2ojV2!-D{LT9%gAw8iZq}pgn%fl>5`J^RjD_hd>DGLh7v!L3079?q8
zLD$4BsI%)Z?S6ik8ZRCuEA_)PoAWTGm7CLfe{))IW=?|3%<1!l8TDl{bk~eNZ!;qS
zQ8QZCc8JbK9io(ThiE3_tvbeWh(5kQNCy4~sln_Zos~aGBA*V>+nfXB;B<ftcOD=`
z@dGrcXFqYr?<c-1`)To}{iM#jpH9^6qp;9@G+?!l)Yt5zpg*R>TWU%!zNRE>W=b*g
zrnLR@Ui$NDFTJ|Amt1%4rK1viNq=Y$u~PTYCc8akxNQ%e7TZJqox7?0#cmS1vYRZl
zcGDaF-L$;Pgq}v4kivNr%2hX^gR@MC`{OPu4B17l*1O1T?Ji<*?4p$)j7i~%F{vIm
zrmd>Rbn1^01(q36Lx2%U9x)=@RYue_ZAf}0hE(KdNQM@MG_cZ;+<xw)jm10Zhwn}*
zJiL>htlUYre;UxaVgowuXF#?V2IQe+KuOa(sH<cLNd)YmlSg*Y8|59e^v`zkdB2?m
zA8)5e$G4Nxn(b8ePoL~6^+`QgpJtrWr$*AJEG~VDuH8oA5!)!{{5Hzb+(s>Y+h|sc
z9wAnboUZ6mgN`1liRw{U_g0#hw3VLNZKdS~Td8Q#RysSPOVZi8)O$~tlJ@G7o189P
z__~FTyxl^UzFX*w<rZ>O*+S8Ob*Q0IhvtOp(1Ei$l%SzQg8VvkvsIhEzR;%YH?)aY
zUz=hUXp_<KX5z};OvU#%li$A0bVgw_8UN5C?NTk$daOm;t+dE;y%srgYf*C3CK`#|
zM9SAU(cNvEsC~gE(j5Wi=72QZL1hO)M^=Jn|6x()2NqopWzj}v`*@*EEMg0@sHIzz
zYEm?*&QX(kcWcrgIZcw8(x5%18szsxgW67MkgA3T`3h*ze;pg?O43F~WNsu^lZ_-R
zw~^j|SEpO0>ZBg1PMl}dnH_Z1DN9J5o^@}apwtbFUA=+gO*c?66K*>CYdtNlTu=ML
z*HieV_4Gw&J?)ymo?Z<TslFmg@gibb64kFEx;BewS@SyTj9W*~?ADQu@j5b;T}SJt
z){?^ewImm^mXt26B`xi>WHE0oxeco^wz3-i^H!rBN7X2Dof>iRs?nwPH8hg6hR!*y
zp+BZ;=+TNbr15t(jeT5AG103Ty?ZsWcCMy{(yNK%yDEJtQ>DoeRr+yJmH2d3Y577`
z+BKm<E`=&o^iYL_POH!{sL(r66;d8jrl?oSB<G_{Nyn8*S6!I~1(nIKcNOVpts;KU
zRn%m;iW1kYA|Jk0WY?ucw&_ZA)lG?<4l7Zxni9R?QKHd~l_Zn4l1{j;q*U{j#HY5B
z&hf0I){YfqlD2~CU02YN!z*Z7Z3PAMuApsQiu5mCkqX@v$=gzqPLLw$2`G|U?{Zp^
zy_{BhGeG<C<+O9-ayl=voB{_GsQR@63HvM1fl~^UxJiKo=PS^)ad{ehD^I5a<>|`>
zd2-n*Pclp7sr>6Qx?R4EHauNM|E?{g8pCB2zib)#{*fbxIyt%(Cr5W3<j8x!9L1{0
zQTc2+`q3dvDjBkL$y1iz9Frw64Oy}gm8Fgm8QN7S!>p|`bl{>4jqAyfo0JTx{*b1g
zDrpLdk)|Veq)F9Ons}9^X?&J6wR9|{nvA9N(Q7HSpIAztSxZS|{!&tBOVQa9DS8nm
zMW3!p(Pkql3Q>@v85~k{v00Kvk|pVkn<V`>B1v8wC25tIBsGmKA&;UZv@LWA313}8
z-G)o(mBJE=;8;T5EfRDuRf1eSBq-px1ifHMP}zJ5`aHRq<lZkP%gDtPb89h8?O9Al
z%8MzLdofA%ETV_Gi)dcJA__aVh*s+@qN=5f$oAJllB-|HtiuZ_;{HN9dt@PLYb+$`
zc?*eeasmBUwt%K17tp`k3rJ|+0+L_7fVS~3Ae#YkdY&&%gMs3tY%9*#x8l^gT%0gd
zoZ>s?lT7w}iu9XLE6>fRJiYmJP-Z^;`!kOco95BU)On=fHIKen&7%_SdGu__JaYdz
zmu}Y0C7Z;#bj58hIUJu$k2cMv^hI;2?YkK9e-tC#mty34UySOHijgA3=>9@6Vt*5*
z!!@GR94|_T?u!!hZ34OtQChS}lnTGkp-Ug<(29gPH10ZwvX0Lo53M<5Eis1-e~J*R
zUWC>qix7E=ke0Ow?cO3n7nX`pz#n0H+bm4e>B6M$D@=~(gsEO%m{jD2$)8i0IJ$)B
z>MJ4o_E?B+*$NT=E+L9qB}7~Kgy{32AVs|sB+CdvT4pCmUk?aUISJAWF+uYEBtVXp
z0(3i0fbQHEAh+WJ6uMb}awP?*>o-3Mw(!%IOn!3m=ckH`{3Kz>Pghp*QxgwAX%F&I
z#ydV*{gg@X@R7C|A2qA<(N%FiTJoKjKGgD(b22aKdh?RdSzhYa=cQZ)UJ9MXORjx9
zbi0s;u7~rGogELkAL5}1bsowS=b?e`+%&hIn|7pflZOvC)t%=ixt-i(x00JWdAVuZ
z@NCL0nN91WXH&M*Y|=S8o0_y{la17D68}4kirQz<jaQ7&3z|iLuFqn0?^(pb{6tTW
zZLAeOqp^c0S)=UGs0KERYHCA8^Pil7rqg$8O?H!`rr-)+&1ILuHCYJ>nr5A^G~Kz%
zH7li>HI-BcHIvqT(^OtCgC!}#!;0e+W;IUEV?{SfuomaavNRsAVDVg7&APvN11pzV
z5TYA(Svvv^SjnclSxrI*Sw)4GteY3CSbxONvkYI^vTP3AVy&OHXUXU|vu?THXKkr=
zXWgCS%~Iaw%QEo}U`>=gW^v32W_eK<>(QyFtR+EFEZMSH){C!ktQ3hv7E33EWn`7k
z8g|WM@jcIFWfr|*u{#S`X;bf5+ybSnamjMlF_lWzc~%WeNWYGyYtqP?cc6uJ*SwwO
zY|+J%x9DYAnGLYE?HguQ7>%($>#|v|)jzY8SAJt{Tl9m)&;5&a<MSVuf6G5sqQwlH
z{>X{Ho4If{Wfsz<xY6jzgZiJmNIb@m6O{t^wN41<LWPk(a}GXRi-N0C3_n%op~`nY
z?tc-7oXJ8&CoclOkOWLmFM(^ZB%VqwMdWp9c+|+?u!0;G*)2oiM|tdCwj8zB6v2AG
z0*@9dp~HF=#IlsJflC#J#;dU>cnu5&)IiGXAa<3||C$Ly;Z(;ly^Rp_&_GV5CQOBa
zF{4em{y+==DmUXUzYc!sZNWt+UG%)!3Zox-$W_sYjMa9yh3>#)tpWCM8zOh35v0!<
z!!2wVzE+vQ^6zeZRN9NJ2Tf6MZyz?L?nhDk0T|Cdgg#|6+%YwWjNM^WM_S-ssU`Hr
zjzCQ47{*kNquTfc3ND^R{sSv~NU+9m`6-AEorWRjSp-R(!;f|6ankSthE80>t=pF%
z>vtJlF*ZofwZ-GgD+uViir7!r@R8#N#6)i5yyPwPuDs2>$!CZ8TkfFQ@GcH1*`qnx
z9(`*aa68)pQ5udol;?;@Ehk)m>x51nXVe!t<B+ZkY>HhVp?eReMfV`1b07AF_i=HP
zE55vT1@}fbBxSl`bd5W565S!O!UJN_9te~2L|&jLY{b0q#?uR-v%Dd8#~V^p-Y7ix
z0Mq>sP<F@%%C$aF+UASGH@;x6@k3gyALdB-gWJa+k7foS|7rjnMgq`r=ppJVAL7`i
zNAOC11QY4UNcDY;gc(n;<<b*e>wbc*MuA9q6NsFZK`;*tLfGtJ*x3YQx+@rB1|g`(
z3W2n2DCT>IBJO7>I*x`R=|dQnQaDzJhohG}0%{i{u&g-(*_)nXJmx711tYQEHWEgy
zk>J&Oh7-}xaEvbsTo<CStu6{G>!Xnq6pf+(nA9=`D(_;TzbqEq_hWH-I2M=npF=9{
zIWF_P!0FR3z*GJL28wZ5?;3})!8mZ}#-l4T9w#_n!r%NQPUXJD(EJ1l+9aT@Dgh=d
z5^>2T5$fHEVB$eh5|9KBb`ryr$q;**jK=9?Y%xiJSzHRFI8)($AQjJ(Q*oX<4PEAG
z_%AIDrM&52S){`<JsqmN8AveCKvPNvl4fOM-GNM4zs$t;f0=0Am4$^-S(rVQg-E?@
zOgzcP@JKfNHs)a5JqJ^*IY?fSi^Vr{LGN?Hx!@J<o_vLb^jGlWd<{wC*EkaT8m6PK
z@gKdxKBqT0R{aJti}Mh0G7mW^dGPy_2T8qr9QMtJNn1XC$rZr#d;zSo3b2Z!5V6||
z(d1Kz*Ug16UHTR=R&Vh#@hz;szeTIYJ8(L_Lr>{DToWupkx3EC9v8u>y$DlFi?Q@X
zF*sioBV@c7lPV?nb-4t2870{GvxM0tpcIF1mtuBaDXjjL!cnUX`y9$JSXc%X&i7E$
zevi)%?{T{DJ;FH3;kBt8>+h5!^mRG%ew8D5Lj~4et$<rv1%f|S;MA%Q_;%_8G-5tr
zQ||}NkgSCLfl9m%s6=LUCC>9zp?^yi7Tm1@e@+!%f2o3!QZ){psD^%6HKrP?aa6bl
z-g-5-akmC?Sv7dTu0igykBBz=h+Y04k@x;1#{PXo%eq>)o~gxjL@ib})<TNE4h@^?
zU|?H^d(Z3O*j@)Mk$M#B)Pw6<J^144QP*A%3*iPNZEnC@n+60%H(+g31N?Xzk)hs*
zkkgIO3vNVKMI*+3H==)K6Cw{aVVOr0&gVAa_DB<q7c^sJYcsZ8X~wx{%{cI}8T|j6
z;iS}pw+C8KcCQ5w(^{a|-2!KURxn>kfY0$(Z1!nI?yFY(9&81dXd4<d+i=0E4Ih2m
z@aI(<J`J=XLAV`i>g{km+KwQPcHB;HheAg?LS}WKZB+;Q_jVx5t^<3bJMj8L2iRXb
zFt(@@X`4H-)w&Z=-kqpS@5I~IPB?OOK}fy}CwFwg{bCnxKI~$QuP)?uc0p`rH`Xe2
zLuN-eI?i|FgkLvuGrG~<+>H;vyWu9;gSne~aPC+S0$h6F7TW`Z_dVzs?Ey=m7iU)W
z!rHJGYcKSo>On6yB=_P{O)qYI>V>gLAAYFx;k;2F($Dvy+^Y}CFZ*Cs(FgWOA9Q*8
zaZbJ;C${uM`Dj1N?)F11v>z98`(fAA53_Im5STLn?^Ofn)gJ)Q$pLUU4xl`A04H+>
zP+vcQd7lQboPUt{e}gF18pQ5HgGjwHi2etI7<n;>x9<jVzGD#VsX=Iq4B?dG5RPjP
zVeO$IG}{cp*mDRWQA2q1dI)LtL$Dhkf&|wvd=?L*Wz8^t>JMYwau^xchOx(c81JKo
zA@*t*Y9EK8I5dp!e}?f`bOa*HM_|Dkfs4rq9IQsL=k^Hx`i$Ui^az@AMlic-1OmMy
z82vtiaNbcUEg6Nc>L@C8M$u!+q^Fqj?NKN{7{#-vqxh6Iiuom@nAbdt@sUx4{2s+J
z!7<#I9K&0cF*Iq7p?KFAJdciHmCYEQJB{Iw{}@(8jbTmt80Hp@p{8yOR()e={xSwR
z&T(v?Gmafg$DyDyjt<s1&Kr!Q_24*UPK`tN+BkGv#<9eI9JLYSIF>k$npfjk@O~Vc
zjSTfM`A_5c_-7m^c_+{`Zvx9?CSasI0n?2W*tm59zjsX_(0l@OPfg&g?F63Qoj{uV
z1fD&dz{Q9OERLT*RK^7O3z+lDCvd5rq0R{y4^Kew%LJbPo`B3OHf{>Bks{7U$x=3Q
z71{7w!^S2JHfnU(&@y1-!5%j9%-HyFoM}JH#(i5h*4}2L(20#z9&Ft3V<S3{jnoJ>
z!eiMuo5;q(3^rn4u`%y08^_Do2&iHss-BI9t!!9zv$1H9jl?lF<UX@;Yl@Au-)vNJ
zOrmVoB%=8yaZGp;Gv`jiWx*syBqpIEJ&AqGCUHb@5{9cLv1Iims@6{8=!QwOXiQ?w
zrb(RFo`jd~Bpz&=gzb(=Xc|sp$aoT0c28n(?<6$#Pr~LP({45i@57V0WI2fqM<>yD
zY!a7GOk&_9bB^^SuAQ31qtlZJIx`8!v&{9*P2wLz56@3R_yThshEf@7V`zk-c81a!
zy2Q|2hC-O*co{Nd&Iw@7Pi6YaWcrI>`n|~Xzszb9h0OJIj!z<<x&AbBAFC`TvCVuE
z`iCa5`T%o1Q>M>7lQ1@!M4b_HUppt^xqTAv^d`}}WfH@iC((dOykP$O3FaB_teb>C
z^Gs$bPr_owB%aDoqFjc#N6AUlFPcQg{7KvqWuBuD^Ne{Xv3(ZPKl8k~|FEI`gN>74
z*tk5wjLk3`x_xZ$cQRw$%!WxFo6&RFU@>Fp!;IyJ*KB;rWMf7O8`E)Yv_-KI6UN4&
zCv5!kWy6u-hi}eo7~f&z(KUvrF0#>mijDrGY}6iNBaY#vb32*w-^%bD*ic)~@Qex@
zQwnTsVEFI&0)`(%*s$Ya<1`0zZ$Bq6>l4G*LlZFQnm|qC1hlFq5L`Tgp4Sr)OP_!$
z!{_Re6HpGEfRN7wTJKH3&u#+5%!!iI6VN^~fw+AW_`7og*fN3B%=~duoq((S1a3%7
zV4vs&q<JRL{NFfkeH{n?$T(a($ML0Z9Qw?B^vWAYUfMX?pO0fGbR1oN<0!g6jz_o0
zVR~sCGf$2ql$qDdjK&e9Gmih(kHb)D9G=YF&z{T7Zysje|6%0Ar!l1WkKtbP7`A>G
z!?*k~_@s?tQS2D}gU0a7YYfH?V+gPvL#fpmh7XS6=gu)qF|wymZ4CMHV{l(MhAjeP
znD{#im(QaR=pTh+<0yv8MxpU)6n7FvkrF<NI^R+BJB?!C$|xGFMv-xVIey0|wy;L=
zRe2PCOGhCsI*Ra_qYz|d<e9+{<TQ=oN7)GEb4Q>X&&bq}5$yIFfzF)~$X*!1SBnv(
z8;{_`<`HnO89|`T2qeTt;4^as-@guHdp{$`>xWTVG>pmgVemu`L-gS=1YL$PZ99yn
z<HLyAGmMj4h9SOo7`d{;Fccd`J?AiXd>KM|&k%$@4&h+I5S}Crp)70&BVI%Jb9)Fg
z&JN+{!6EeM58?HOA-E|FVcYy6Omht(^y?thdI#~UW)SQ02N9Vth#4Ww+T=cn$JYl@
zb#f3t_6$NyXAm;02O%dlhy{X!`1fl7EyDwdX=K*7q5&*S9YB8g0QP$gp#SCoj#&?&
zaqj>$bq4TIm01&)3_yl|0DFJ-<Mu#59@X|ED!(5wFZ&T3*bnD>{WxONkJXm__-@dT
z1oeI#VAk7d(SCUS>%+Y9KKM5GVMcKuPNekVO=utZ-21TOY9H*6_ThzLA4)g&p+&wA
z-J*SH``e3((Ox7q_QLgTFH94Au^^}y)h@lbb*UE;=DkSS)(efby~vg7g))CH9#8e)
zdruFxRrbI)y9d?JdcgUh2P<y&K<`8k4jT91s74Pg<$JJuP7gHxbYtOAHzq!IBlC4P
zuEcgjk<m%&Zg<1RsvEo}-3ZX^#ym!6@to6*>EB&28|*?xO&7RcbwNM63(gOi@{KNZ
z9P7gGom~*#(1nFEU05X0g*j85_}kTq-uIn&oz@Aj&`#{R-wDx6ohUijiA!5LA*S4k
zc=1kboY9Gb(GIZcI~cpE0}`<vu=D9a!;KEe9qYhpgAT;5>p;6?2Y7fou<~;|bX(hD
z`mP-oFBy8s<nOd&i&Z;T7`KC)(dXKw+wq*Q9cRC`L7}}3twn8cNnrAi+E93>4Z9gV
zu-&K)<{R43xU>y=ylqJS+=@A^tvLO*6|dqLozcG)y0=<!=U6L}cC?~dtrgRYTOrET
z3c2wXDA%_@^>quQ3$$Q~XA5|2TQGiz(MNS!5W2Djr^T4|-_2n6HY2*c8GBNj@h7ku
zp$^SVuy!-v8#8qqn$axPjJ@2=s9-l?V<V&gzG(tybQ2DFHX+fb3BL|DVUu<f>=c`j
zF4BblAB_;~YJ_S@BMcH6aU`G-7j8A;+R;W_*KdT4Y9p+~8?ona12hI2u=qm*zNa?e
zeP9C~**C!4ssT$38_=}20UnDRpw8KV?%{ekRM$fyvmPlS_0V#v$NN+DFfe9PV#-UH
z`k74oXdN7C>d>88$9!nG4xUbRXgO5}Y2!K^qdJ63Fg5{a9cGWzVs&*bOfzb6HMkZ&
z4z-B3szv(FTI8wK;_bp(6f!nN?!ZSRR(wQg%17LL{1K<^K0^Q4N66@Z#FX+!6wm#L
z2fu2tr@IDXB{iswuYsd)4c1(%L5EoloU|F6WqAz>1Z%MGYc)oit8p!_8XQs8aCWQ4
z%nQ}9+f$7%>eV<VRgG${YA}IC2&}HckMt@S2UQ{ZZWX>Cufpc-Rd7|QLdD!F@cycV
zPFE$a7ggfLi%K+lSK_ZtC1e=eN*k3hm#u^?PbKb8d|>3k2Sj9jKupL7Ja=HylT3LB
zQ?L2~uJb<N>aPk|c2!_&Q3aO2sK9LR3UpttK<2&*xN26wRJsC7XIEfov>b8O<v5jI
z4!OW`wA+=#=V&>!^vW@@vK)^@%AxW7Jvv(6<5u2#%zySC3HRS)^V#?KX#5_B*S*Kk
z!uL4$w+xfLWjJ42hSB&k9Q7$flWiIF50oLBRR&p^GI-1`!>7?wm{gY{Ijt1@PfBr&
zu}iZpOTnjGiUW$Jh!!jb`*R7_HkRO8ZV9r&O7P9G1j<$=II*JyfsAciE>?o+AH`VK
zUJS#6V%SC%<FRWovd<Qy(YP3&*A|0sA!8H&R|K`5B5Wxxg2{^_n0poB<fS5<-CKl<
z>P5J;gh^*G<$-rN`TiZu6W+nZ_Z@VvykoF|caUYhgRt~F{N#FvuHm;R`oP%a$!~El
z;4O|{e+w<Mw^*q47N2C_qL}+Fo{SaZRCOUXq!nV;<3iNjEX0$;g*dET2pRc8^z#-X
zYN7zgJ{DkUMgiKM6d>Ss0d`mxfMZJm(i94CoWB5KlldsD&BwXSe253-Bi}9`Cy(TV
zUpF6#%kyC*kdMj9Jb2aRK`|>2ML~HmzmtdWNAlpIn}?-}c}Nq;gYKs{XsCOG<5_R;
zIp_`S?z{o_(KqnXeFJgDHwYDA@QF{a5ncBh3R$o5Jcvo}Fy$k!A*1^mq03)GT;Mf)
zCSQT4j=?)JU*TKeD_GmTLYw6)?A-DSc?z$Xwcr&(*}34a&Be8hT=YK4g~9DyWLV^4
ziB2w@<#RF0n+v0f9HiIeU_p8gZavOH$ITqza1O#Y=iooN930}wLC#n<=2vIqa%wgz
zA7(@0Mm8MGveCLJ8*5~<;XXSXJtJ9IUzx>VVOi+)&jMY`g8RWN#_q{tboVScaAl!(
zC=;?3nXpOB#5><ih+fIWk^PxS(#XVrk__g<nTf{(8R##|fa=Q(+<uUO(#shTHO+vz
zdIn-8GVu9dIyCyy;arlA$`|RF@0AXVi|L5nosLOL$NEL-xcgrkO1je^Sd@l6v1tf)
zPebpyG$`&$!^O2}$P`b*pI@oa?o5SiVJfPkQZd&x6$j6xBEm2ggR4`aG%ppGf2JV2
zEd_t`Qm`d51@0~>sIg9gxIqdItE3=WGzH_|lcCm<jGM2MQ5c>KUZ-U2I+=_>{bckg
zB|}jp8JE8%;Z<W2xN?)QGc*a0?UT@RED0<1l5llJ5`*a_LEv*D_SYvODk~A6f)c^H
zlL+@CiD=%E2>IoSxWb=^B6b4AY7=lQBLQho62Nsk0edYH5UZVlU&|7(lQ#iR$6w-m
z^-F9|dx`KzO#a487%({AGp(2SE&CF?xnJVtXgp&d$HOuu9<Ku8A$~m`HizO-gLo**
z#KUV=JjRFPVDKRh2}yAf_K(Bmt8r*J5C?Tu9Kx2yfr~2+XNF#&mcb7<CceNk-xm<P
z@&ecQzd*mn3+$45fqc#vP#%1au=md)obVj>KF{&R<~dI6dybZk&tWL}97QvpGiy^U
z(#m47>SZjRKZu2#O)Q?8#zJaiEW(z=LUKkd!uw+&T^56=_!umI5QD_aF<56BgE#6i
z*t#SJH5@TG)E|xE(r8?bkH)MA(Rg?{8VaV-$W@Pq;gV?daYW;0e-uQ^q7WY+1>FZx
z=(!w)JEl>P*cgS^OQK*tBMSfepW#{AGi-bL43iI@;jzs#XzhE3v5ib#@)>kFpW)j;
zB%<C&!Zd-wVSOW!$6&Iy`y-*G8HoX@NJPwxgxSzjEUI{lmc*wB@_P!it531?;8P5+
zp5mqSQ(T$#6q`mOz+V}`VBZml4T!+?>k-&)76D1E2z-@|Kskc}KN|~&U3EAPq=jSs
z<8aKs6^<W=!_lf8jy(BrMDc~glO2YuwP84t83x0kFou7^7>tL(lDCFo?usz*359|4
zODO&{gyKg|D87Y;;;RFbo?y!Qq4>Qj6f;Ca!8;WKvDOes<%M8XWC&RILSS?{1V;@+
zaBWQpyyu4?_E#|8b_S#CZ7}}E1VhRr7}^(tVYNFL-s^*rwKy2P|AHXg9|V*I;lj%x
zMEV3VYflh_4g^7u6$D4=Amq;q!rzfVY^n-`V`?Bu9|c0_Rv`9S1R_!=5R(c_n?N9Z
zKRv-f{S#>9Jb{1c6HGWff&R%Sh~54KJStCcM(hb{emutd_Q!}QcntpN$6)pk#>lzH
zIArn|)$|y;iytHJ-y^8^KSE~NBdkk!ge>1j(75^tg$Ex&pTY6#Wgp=P&m(*qe+Y+<
z4>2$EA>xA`Lg(&7bRK(%TiYID(W-}dJ?9}Trvfm$EdWXR0XP^H0B*McWStAZDU$#!
zSs#G<#R2f*2!Q?o<2xw#M`@xz-2MGwblo4~=Kko}?2iO_f86Hx$IefFkZ$l}#>Edc
zVSb2r@`IbTA5QJ`g8}1%SS{{{1%G_O*~9oGiha=$=gVM!zIbcvi|hlwj2-QZ1X*9i
z^Z4TBgb$J!A4W!&58j0Mpv=Js4JUmtu)_yGRDB>Y-v@HP9{}ACaH#kJZpJ-8$b$zc
zw0(f#0}mj&iD{F2fOEVL5YF~SU7a`ha=fu6%p3Mj-pIH128SV2R`Z6(0&mp+=Y^$x
z%vTx9yikzfg}MG-ICI?##pYg+*71V<axe4>dSUBVPb4&ZLOjnCPR~5?#nltX&wHX}
zw<nC%Jy9;{2|X@Pl#X~nzuE&;=^ii*@<7jB51c>Yfxp{582ruy3iCZs@Y@}SdfYKx
z;*Ow~?tq^=2Clio+uR)+b=)zs+#SI}?lAu52A)<oyv=uGa6vb0@^Ay^B{!6ry1`e|
z4Q4WKSi$3l-xIE=u5(39jw|fLU19Fx3f37{NbPb3*LqisOSqzm(-p<T_mNq3A93mT
z@igc@g6;3)$w`I`?jvZ;eS|N#kJ!KWklKF_1?BhfG5H<_9^GT?*L#?M>>kwg?_syf
zJzSl4kHHsRP~78!&!sL{n&<+P02kc9>4JPq7yR1lf(@%&a6`-mZ>F8W)$I(!5@!Uz
zbjFyUGjPKh0T#}f&~=8sk~5x*I)iW82^YGY&{XUM?UznS_H%;t4JSObaDu>AC)`tV
z!b~wII88fZcDEzEN*p1c;D{)HN36Z+h*C>OnCm%WYLz4W<~m~aZwJ)%IN*Aj1C}N^
z;KM@)#<%ByRmU6{Y}f%ost(vI?f|jB_Nec-$CC<sSf<)zWuQH#@7kmMq&>oR+T+Sv
zdl)UYhZ3hf7S`THPxxIVox2Msjk_@Cy$dwm!LsN(5Vg63*_-cxLztlsJ8;L_VeSn(
zDCpT?^E^8o>AMZrl-tO-dmF<$Z$n1nHja+o!t?A~_<rvew(Y%zNZDJAjJpZzf}3dY
zzRBQeH}Q7mO=$nRf%j!MVEXt5Mo!#-)7l%5op}T0AFtzD#C5E^aGjCK*AXLd9p~Dv
zK_l)Ogl}BKsNOYH%)f@zfvbo}zls2-t9W2?6+Y5e@#NDL#O7bYYws&)Hot;jN>?EJ
z#}+0Pwr~xyMbRl+#{RU0F^?@Gnrtw|_(OMJwLzAy4W#GUz_0%@c+)TAzSCv!@4k#j
zGMBOZ%Ow;PUV;U)X$#kpOGs9|gkv0+AW?G>?co;@dEp{1Y`O>?;fq+(bpd}9FJSP_
z1=Jf}z<bFHjDBz)C3)vj?R_4dhtK1i@_EepcMfZ-&*5<RIXt*<4keq;flK5Z^t;a@
zAo(l??ayM<uCoY}J`1idXK?B58T9*|!Qo?P(4}?;R$OQBz5X=ZqfbNr>S>g1J&jA^
zry)Ij3eDN4@X+lP4jeoMxs|8z{kJtLKUm{ss5Sh~TjS0qYg`hs#+e=~oK3ZYjgu7|
z_E_Q3GApD`okV@<N&NTZBvze1iQ^h4@l@a>20BhaHR%K#?N6X>*9mNtJ%NaC$01m9
z91f3<<G1y3+}?N`Tmr}8-*F6zNykuZe+<?p#~><q4DY@l#jVn#P!Bwczo(C)T=OVG
zg^n`**dy4NdIWGj0wvQUkY0WSOMY2G>VqYixJ_)hXbB^2OPrf)3BN%Lyveq}q`L){
zn_IwI#R5q)Ebw35VeE=IjF;CBLukigTw8J&LzCt>{MH=p0p_r@GRK&@IqU??F~7?U
znJH#4cQyn6J~QMin&IZ3L(r@~gjtb?&|rHAFZB+=ebFJDpE!sE1qZRi{~)%UWJsOK
z3ovzE2XH?10Nh*-Ab$S=)UP}Mu7CTXQM(^EqW2^3`hM^k?1!1ueq?;vhj}IYa651x
zM$hhph1Nc_iS5JTAyW+Jn&P^*DTI%jB4M2=On6Q4w|y^ClK0|_^Ij<J--~Z6_u}2Z
zJ$O>L2ez?$u<zC$Y&P1%==XcD;>T_%R_umK_-<(0?1r)4Zk%4c8y=G;NPB03-p3|b
zaMlESwM-B=*985;yFhPt;eqciOrF?<y&HGotq@b!XN;6AW2ku=<F%zR4AvQ=kJlIu
zokoyPGeYfsBRHEGfwkHQ|IIQ&QL7>Rk_=(xYzUnLhLBe_gvd-o%xK<;>6bh4(_tt6
zGu;VZrJazNu@ls2fPL`>xNC2K#JvXSUts`g4g;KM*n#A@9pJRzfrEQ@AZNu6NOA0d
zXTx@I#Bawf`|bE|?{?f<xgGOoY)3+)K6bp+$E1Tkg7)ddV3j^*&D2M6^EP-UZo@(6
zZBRM54g9Lxz@D`Y&24&kpQ49?`+CST*TXwCJyi4Rp|@)*{$y-rFrlr`J-QXP8@3`&
zXe);Lb+O`=E^K{uQEa7)CD6s~xw_~b-2$V+EqM2M3vhl53bt&4{^BiY{;Y%ZWjf#w
z*Fn-19UL^!fq<+Iil?>VQlkxnSZyr2qYd^RZM<Kpjd)IN1hj01bMj`~y1yAW4sXVt
zb(`TXuo)qJTFA)NLW8ds{#a{ag_ag9#I+F2-h|HLO;{ev#G2S{LiLVKSS7m&e!qaf
zAAw6Rm^c)B;Ou_js|w)24Ti^ANX=wnuQv<-POy;7V!?VI3-S}17%S35R){9tZ8dS+
zKoh!hnppKm1B>f5Ao5ZJ0?rx`Hq*euwHjC<paJdvjj(*Z5iS86k#cq;<E!2X$t4?M
z@m(FUmFi%&ki_;o>WDE_2d|1cY`E3Y-?agUvNxc`X9EtO+JMo`8(_C+1H`|sXZ*<P
zaX4x{1nkzMaPNB9DX)hX_j>Sl6I!wf%xfL+K25OEAy`Ndc70!m?NtoLuEQ?-b+9<F
z4mNAn!JB^_lKa=9<;_~~K3<DW7uVvp{#q2stOfrcHJCT3AtO<Zu^-iN^N1RTHmc#!
zTs1UItbu9i8gxdi!MU4jz`17)!d9)pX6`i@>t2nJ+|}3}uo`pDuSTQZYD7w}hV5@v
z>}*iQsw7p+byLNRW2*SBsfthYRq^GM3VxNVfHztNQg>CLc|ZjgYASFOR6*{LGQJcl
zLp4MhSFS3f&{!FBS1RM&EM-)7t-{*eRfr5&h4~j&!B?M&L6TdA;J->((V~QcG$ojO
zD}m#b65@1}a7a=KqSGrGU*<|YOk9a0ZY!a7d?f@nt;G1km8ku;0{PV|kQTQB2`(#;
zXt@HJ8Y@sVe+61TE8_bHMTkFFWN<@8Ts*9ZSan78&sD_oPs?Fbu^dG)%OT;o95>CE
zqie%*?3lY8ZzdH$6$;3VQGlkS0^XY|F!sIze#}*1)>(OIeUJw`Rvyos<Z;+S9!oXk
zF*08s*<Y5yyJ{KE#4Us2y=9CqZyA<j8Kf31!;&dENY~0iDNznAcRB1mDF<6^IRr||
zq4<|9el*HLHBA;5AIKu}j4WnulZC0AERs27F{eWY*K=er_)rE1FUz38PzI(eWzfkj
zgR}k8m{BN=&`@b?x+#reQ)xU_lg3UFY4A=g#fSGx@i1m7PB<-vhUHQ$U@gU;g-bCw
zC55IsDO4p(;e(eHYEDa`O-~Bra#G;pl!8o`B=lZO;&PxQqOMA!eYYeQua<<RkR)D?
zEy3TiCD<3U1es1tAaR6=J7c8A@5M`CJ1v24jS{$-E`iy85(vB?fi*iNP`g3`*Lftc
zY;ZA}-z|pU)5S2kyBG`27h`baV&p7X4F9P`u&G~!gQ<(4=d%bJ=NDm}0YfVmL6c_@
z^amHhyl5e=MJ~h>`-R9qyb$A>3$b+ZLL8i4fZ(PD=*?IFm4F3sy1W1##tXnwS%4_P
z1(-7~4wrIq{Ch5ryZ6O0`=mJhw}?YtRvZO0#9`SzAKdx#ksdl9R=4Lv`p|szsLx02
zg88uhF%No;^B6pC9ykK#Ves-i)b5&xV%2%b6P|}R?74VXITzJ0=c31BE~Zb<#e(f~
z!BU(HYo56X8WKZoi5Ns;#IV;z3=zl0@L5L;+hoNM!zl*7UQyT<ilRS46o>3Z(QLt_
zo0zgBQ~!4k_&Vnx=FJ>z3uR&eZ_h!5*&OWEoC6VwIjH?Df}l1LSicg1X0QmvZ;3E|
zDG_vS6v2l@BFO(GjGR`6a+w&yAYoM86h_BEVN7il#=OPC*!WurC)$MY=#>zvf`uS(
zTL{KxLI~0n!l;B0wEh!BXony;@&s`zOc2d?1hLaX5M`SLp}$m+iJ=pOMUMc!77D;C
zQUI%*1W<QO0C%?tV9hcCjLi~2+#o+Ll=5TabAIr<@uT+?Kk~QpBXT7_JOuc0Yl07#
zs`zj&i4PZi_;BqK9}`Exhd?zxq|N0+-FIG0H}YaxHZS%C^5VfwUQ{09g(!;`=8{aT
z<UbzF>fyoBw>&6*#sg&+9)zCcf#^0Kcq#Hgh@S@!$GIU>#f^+4ZW#J<W8yM5{Pu8z
zMciPEb0d0sHjcK<#<DlF!48{^H}<pPcXT$+ZJ7;2`Po><GaE9avoP<&EC?mef}qbV
zh+dwBC3|LJ70rUqf?2Tm#RZ3UF1*O&LQ@16_?@_*dx8rtdR(Yb<YI7AE}UY|L}ATL
zNTtn$<HMO4yEYRC56(oj=1gptnu&@TGhx!tiLMe(Tz<g`K2J_OKhFt+U7VOw<3!AS
zPMA&4z=HM}Xvv#_h^I4f&Ups3tY%>0_8Iu8Gy@&NGf?`416d6mNXX{Ei(n4K-{C;&
z5f0>U;Xthd2gdj~AlCkmWfu95m16ymHAm$i%kKMM*0)!GS=Su@vS#c5Wkm@8Wo>Qz
zkM$$uKUVs&|5&$I{Kqn8VpmnN|F9O_{lgO3`iCVd_=hD`|C_ZT_&3Y!=x>&%;%`>z
zr(Z0g>|ZR)yT4d@TYs?>gnqF?8m3tiq0_9`<I^lCO|!bc{$zQ-`pMFB`pFX5@srgq
z`jeH_`hyh~`Ge(i`UlHv%@5Y2UsJ5Ow^OY5?o+I9CR3~xi>Fv;`o6QW<G-^+Y`?Q?
zG{3WYxxTZ^D!;LM9)4r}&(L*;bNNMaDwHII$QH>SDRIuRQleBSJ0nyQiVBgv_ufL0
zm623LRz@jB8Y<E-nn=^H_51$uc|P~tf8OVP-h0kH=e_rw<8A+yIAy-lmDw+JsObwy
zhkl_Mqc7CO^My*D&r?F_JcW78Q~0KNO8)nm%5Qz9{?yO()8;d&N`0o2pXR9h>KuuM
z%u%G#9DV1RBk$2!S}2>Pc&}MnuQ^LYi)JbE?hF}Z%@C*K484(^p_^YmQSFUSR2uz>
z%1l4eC81ArYw{y~sQXBQr$3UJ!AHvC{791{A4uo?2P*aWK#Ypll)UHz@eRDE3)$~U
z|G;~Cr|_Qgf4n2Bu6HD!_>Sf+-_d=^cXaL3TdHb$OBLa7>C&#Z)Fb$oCMKqdvwoVk
z1WZ%-wrRS@Jxy!JrYO8(ie`MK$VF$0CfTRx_~S`pJ2y!c9+R|JbCQ;`Owz#M1mzV>
z(DB0)WUf9zx=a(a`R*Ii%6UVEE^o*|<qd`Xeob|^Uek2OYm#$%O@4~6X>j2cZRmYP
zC26ln(BTyo$iE`FpD(Ga`z5)izNA(5FX@ilOG^4NPIlenq@FrXtL?{$MSh(A{CGi3
zJuhfQ+6$6)ctP70UeL*fF{<euquKN^LZ>mxP#UA}zedUV_9#8e8YMfIQF^O7O2Pl0
zllZ`Mx|{c$!VW*DEt{Sb=aT0%G4zbOi=I)P$1^Gg29`ae+9yw`tL!Pg@_9<^`cFxl
z>nR1k7@?kvBP0+oLMM$zXl(Te?Vfr<cN?FOdH55WFnvNH;!kMZ>|=U-<1wWsJSGd<
z$0RNHnEw5IL~r^Y(NNYS>UVua1L}|H+2Tj^`N2b4b?zbQ9DhhBbsy4|l@Ez&e3<st
z4pZZqVG=PJrc~i!TKVw-Ww$&a+4u+4WAlKH$~_>F|AuJf_7D~34$)D!A=;`rM6%0<
zX!X-UT3I<r-2Q_kVl+q_1P96d-F-UKe4iR(@6%`N`=ljzpA!GONALUZk!k)t>T<tF
zgbe0j$YTTazGi?Dg9b=z_W*qs8=!`{yL6`WE}5m>B~|CUv_}0dtzfxJ?2qpdcljNX
z^t(f3bcYVCxkITR`l-LQpH?LGlZ`_^)vNRq*P?zpJ$##HN^jHAQ@81>;cbc%yiJlH
zZc$(BEjpESi<BL2(Y)#{YF~VdvL5x(sq#K@^zWm+JNn2>q>pT7d&#}Cm!i^psoJ%d
zo@w;bD)wI5H`+rbwLSDBq=zibd#GKyhtz&{Q(b>IZ7l4j9<Oe4(C?;2e2ls2n{@E{
zO<I?Dlja<5Qn%VoDq*=vF(X~%U)@DML0#l)+C`C4T~zR+lWz2P(sW@b2_5ewD}zod
zTHQ%=?>or2t%GV)J4nd2gVHv45D!NO6^yr&^5u5A8`VzUHti&-)K1Tt+v)71Hab$-
zM!IL(NX)d2mP)tLe?M=~_q#XfSMd#EKY4>Bjc$;E$PM!P+)C$rTIp48E3NlzC4c=^
z8s=}MO&?n5e0vKCX0%Yw;TDph7P`#cLc6A})0gYlsU-P2S-D&%LCx#*W(6bP;B_;l
zUu!1+gl0PI)J#sBn#p;2GkLyjqOdDXR2<hteGX0ZL%oSq*qg{_{2H}4UL)SPYvk>4
zjh?DsBV+b!)IENc46j_J;kc`G*zqc{Zn{df%de8dt1BdU?Fx-1T%n2sSLn><D`d-g
zg|<vIlKS;VQc7tg)q{<UHPuLFJdJeh?PbbtyG(r<mx;;!GU@AGro`2k>D8wO((Z1c
zvb+Z3JKjJ^h7H6e+CceVFOl+{OLVv75*_!uL}I%y(PQaLl=Zuw9ER&jwW^*tLhEVH
zvYy72>S>szo*s<W(X-2S^dYW}SPs-N>}(yGbJbDwbS-ta)e?JFEm?ci(j|jh;$h@y
z1bnHXPyID?_*@Nr^sga*(;8YSTSGNWHMDo+A}y)ENH?M{Qn15CGSaw6!YeP*&#7t}
zYpbUItZM4;tfuyD)zl|iO;5g8(cHZ%;wi5p46Y(C%POi?uA*5shWxUU(wZu1E~Szz
z-72Y1uab1uR8q%$1sUI|pwaUc<QrH)Li;MHPqBgmSu03$yqx}BE2n!Y<y7WYPLcZM
z<RMf}_FpfM<-i59zHot@gD=o2s|%E-dV#L8U!XT{%1Gcw8ChhNQGr((eb`<``jTaI
z?pG<XKPsiuwWahWx|B{hmC|3WQcB@1CHa~2bg%C`oh~^~N&)BT{oeCbr*xhIm!2oH
z*XKy3^&IhMog<cG=jgW)18dLGlD{RyJ5oZ54JEWIp@e)7mQbZGquS1z5|aK_OvmmQ
z)6L3a5{)RPQ2S!~w7Hm^Ru$9Ory_E?RYWuAiYWX{5s6zBQIA>?`K%}+*|%qDy6Y^}
z6rQC(zq4d+ewNgf&XVA=v$S-gkeJ#T$Sb6!CkshnPa&zu7t$WqLh^rAKvk^;^d`H2
zq<jj<V^;yS$rjLRmICs7nNP1;^2t0qp9Z}1Y4@&tdMcYw?kxGl@+yzYTl2^?Cyy4N
z$fFy(^C(z8kBr#zNa#&2eQV35CwaNlc`BDKo8?lCQZCi8=Th@j4&CX>p~<s3#1@c4
zs+KwAydj4QSLV?8hisB%<OKzkX49jPY}&Lxn~F5EiHkp*V&}7n{eBjuS7(t_Ocvd6
z$s&8bEMgVSqO1R9lIN35Qfkbk?<two>yb%?#+ei-lS$4?GRf>!1{t+wkYRoXnfPUp
z?Y;~;u9iW`D>JC^V>-RMolgAa>0};}PT5ZB^hP_KG=$SBZ6S@mJx(LX#xxpEO(PSp
zG`hbtjjZL;=sjB+g-@oE)Xh}7TbxRPL8+u}mr7qWQ|bEZREqtU!qBr6qDv_xnVdo^
zJyK}Njuc{&WiT5<o=hgmo5{p5Jme6ZOtJfu={h9S7r|uO@H2@59w$+MV-iWECsD}p
zB%0ctM0=Hz=r%_ZZTpZ&{kIdzq9T#rMI};%Ya*>PNM!gZi4?+|NSj|K(9gC6YA;Nn
zq`(Anu}vU-tpt)0OrTXi<B9D_JT1B!Pb``7wDLqeiJQlhrdm8%bH`KYTpZOia<!&v
z<47tgj@&%r=*rGGTBZ<3F3aPn_kAp>^v6<3Wh@EC#!~L#SQ6hJOSLkww1q8}UQWeO
zL~jf!Ux=Yskuj9-8bfwlV@OImhQ2I`q5g?zs_2fU#L{T;kBBA@muNa{5KTv<qRD4T
zG=)z@QGRz6T`!HIml094!ZnKYwnkB)bQHC-MA5RTNV4gTq=pNT#2p<;zK0@d!Z4Do
z)<@FArIBR$E`sqrBgnfdg4p9DsM0-xcJGX!-wF{_zaoO%XTnMGemH%v3#Z<ca4I|=
zP61}&<hUW6cJhXk&bKhqd>lqv*TP6YCyY$}!|0Gr7)3xBRS1XC@Sjj(84o4xj!+6J
z38kK}P+H{@N{6?GQun%0l35x`sqaE)(VY-FeKCX<5<@7+D}>lhL#R+Kgfw_VsQyDR
zG1Udre(zwqwK16V7J}$jYY^Fm1kv9uK~&2YMDBOa(5B=w#A$wpzVe@;x6cCU-Pu6;
zc_5H@Wdce2Ljaws3!oOC0OH&nK%T!((`d(OvWz@UFO5#qDbCZhX4s$ZWcyQ`oj+Mf
z_>=OKAMscF5&JPe;@Id%LjU=aM!PRLMfg&VkuQyM`jXPaQ<Ru{iWclok&o0V`tRLI
zN~$|a$|q0K3$2rs$8?gMdry#N!U+;FJ3*WRCy3*P53MfsA>|`Jv`@u{V!nGb-p8Bx
z!oA7M$eSLo^d{rS$LUVNak6$kPTypY)7iOWwD;OES{-zZrVWl!_wr*@`@oCJa=ob1
z(TlFjc+tp=CoR6}NpQxKf(;m%e#<>cY1o5u^E`<AfCpvCdeHjMN2#yrDEWjOCHd_~
zX>R3F>U!c%B}ML(c*vb1mE9@s#}O)MKSC|hM;Ll^ghU07kn>A7x>DgrtB$)-kfs}b
zXLh60{fB9J`eCZHJxu0Ohl%~uA-Z?v5S<M=L;;3}$c5_=**rZ+`_CPuqwWVOM*Sew
z|8b?sURPR|;z}p1UFn{rD{cJfLKRnBXnn8?HEwqy6CM|uf9_1@%bdx{%bDagooUfx
zXPUfwfF5QYph3q2G$MC^K7Dl}&UPn)SSLDZ?nEsjPPF2!Be^#?(&Io!GBI?dL2gHK
z7<Hgu7aZvPaR;(Q2U^YM!0^HC=|+J)ojYVt>1y_r@@GHg-r7%f>HBHOen0(_-A|g|
z>?pXyj)vmxNZHbkawY9(<%}(*HrtX|q%Ae?u_Xs#TjG9eL-#M+P;RgddF`+v)73Vl
z^TwJq>#Rv9z?w`At;uVZHRX<5(fw*G;`Xy52Lmf==CUHuF-uCWv?PvGmXxV)NpdSK
z>CSTt@~yC7tRV~fqGv%jIW4H@`96xO*hl^+_mQ9eJ_=j8k8(!$()G%{^!C(Vk}%jy
z2f6pswHM~J>Y_OX_?y%0HgodiHK&DFW|UlKMyhAbXx!M0as<q1|CA{yHk#71FjM-x
z+mt3mOzF*sJ@l!04=s+_LsAxd$W&?%V;|W~10B0bIC(dn+P|Ad<#&_Gf4ivv)-E#3
z-bGWcyC_n97b!2^MUz7&bfMUUyuD1wSlfgYSD28{=uYCR-brgt?<6^+owQA0CwWZo
zprWfgXf$#MN$=Z1{!%+=<cl%s-!!JCG-J{{U`#!##$?BAOn(QB=wh)ExgIkjSzROg
zxzdOpjBlrFb=#>tcsrfny`8GWwo~h@Aw6w3B<2)DQg<{YZxusoVKStZL)*x+WE+hf
z-$o|-+h~Ai8(F>CN;8+YQgXyrf_+<QUV1Avem9`dJ_EAOF(7m^AXzN~l2~p)Qlnc)
zt!4}D2--qkySLC;@hvp+S)YV&>XUnhKJ~cjlbnV=<t^1G-e-E0Tdha3XY{Chmmax^
z>yhBRE<L=dOL>{PbmWjOBWBVi`Q^GKG^RuRbvh&*szVCqI%FuVLmof0sqnTojpS>S
zsHZl0>M~MZd9+DslIZL;BEdKY+Yu=#6WwAa@_2|OT#oeEA1QAqlA9Qk{yfmS9w6Qv
zpcU>wT-rdQ+(4Tqw8-k37DdKsQR{v!`m3Tv#!IxQ_=zSlS8LMIAWeF0s!0c=HR<Ee
z%@lffGl>^(rrSQ7DbR2;X$ftnMYD`Dt6ds&DNBQLj%ZM<wgyG;Xi(hLCd#|Mi5inO
z(a3>K#Hz80be3<Tu<?xyz1T?WVm4B=-A4MNvXR_aHqyJN>f}?aPHf@oRA#A8CJO5G
zk4c?c9&Mn|stsfoynz(=ZXh1n4aEFcjsAO}Mt{oHi2aNjNtmgTzKj}q{8puNL#p)Z
zf-1=cs?r%#ReH8gm2`irQ2me!$(5^6ZJ-LFnF>9WQK3_Rlu2?}nMNv<DJMvooc1b{
zx|}j`Gbz*0M@sarT8Sn?mFTUd5`9-xV#Mi6r1DIWZ0i*%B}$R*+bNR321PouOp$uW
z6-eQ#0u>}E5TCOG<!CC9G?xOkOv#h&4S8b8kf)|2@^n&9o=`xZIA-N&sz;7)7s%07
zA33TqW<WxYuKkpy{`;~teL<EugJc;8K(gegAWJQaWoha2^<>|$p4wv9lZ?}P%G<o2
z__@|o!L$s?x64p>mJA*Alp*eIGSn*~LlNKB(awQ&BvQ7Heg>|i(Y@>Fw!%8<Si-=l
zG~I5LX2ed?^wUL}L`a%;@<~&~Cn@Ubks_|MQsi<<iaK{m(Rvvv%K5jJxJTAfdi`1w
zi(N~NPHV|bYb`DCtfi_ClH}4YNiv0!^yQ=^-P$Ed<ua0#%p^%6PbKJdg9M$4m!Mb|
z2|CM&8gKAR(B!N*@!uAwJ?F$JJwTks_llFck~pQYiPOSMF><>uMz7Pw$i+j9VY9?2
zTwILA{}ZL&VNp6+BT9<VqBP?uN=;g#6wfP4hh{`*=PeP^IwwM^fectM#wv_Cb`d%>
zAx!aY!qk)_OrN}kN!~=5yk&%`i<yy^KPp6Lt_soH6d|&87osOyg~(1^h~EFVhC&~$
zA@TY(bSrKR`Ma*64Z3US`<gY>`Av{A2L;KyT97QG1Zk_2AR#iaT96Fp1!&)Z0C`mi
zP-?gUwb~2NoTdON@CnfIxz*HuXEpJauci}Wt7&xqYTBu}ntFIw)3!N&8oa|#2g>>B
zPZ&Ry*z=Q#7C$ZG=co41d=xprN9L7$Bp1m?%bfV=GxE_Z0X};6m6x6m^3vo*UiuNk
zOFXW;v{8?joJ4pjb72)dc(jUEH>@I;q*ZkN$SM*rTt&faSJBKr9&#P!p~)s5^2p?&
zKgW3}YZnh`$n(%kHXcfw;HI6O+{Ag7o1UKLri+%`6s^up?%dpDIm1Oe?r@P|1sCm%
z<Ra?>T;!?4Me)L1bZKEFjXz#Ve2pu~Jar}Idak6mJ64j8>`FSzx{_EXIO#+uCw)B2
zNk;=Y>8mv-MQCu6Fdrwi&aWVs!4<??yMhMdS5T7M3bHg@LF=Vg5cA>{^!g<S-D%^X
z)&dT?a+-s#T5(YOCJq|p<)C--%ZYtxIc=z0PA-YdsnC5ny)ar%GV7O<AM0`&nqVij
zo9vWd!cH6^>=bFwPOQXE$wKUmb+wF|MwT&b;WA>%T1NFJmeFDJWwc&x8O?DmqmJ37
zlzne0ovK+%`xBPZPWPp>#ds;{%PytuOP7+xG#ef5Wuv$<HmZ+cqcLYT;@QGRyCvBu
zgPDz9zGNl!4pvGjVx=!ZtYmM`N<)mN?-XIBd%s!8YLtcEx3ExnJ_|_&u+V@F3!Two
zp^a-;=-a{)YJIwd;+vPyf!rme>%WB7SudegnoDS@;1Xh4SWL^FE+)R_#k4+mF>Uc*
zOs>|8DOqzdbqX$~{}vVzJX=KJ*B8-n-Xf9<SVXb5i)a=W(SG4Y^x!u$?H*&M;Tz24
zaF&_ogP1A7fti$andyl*GsQ47lkRIKV!Fvhedn1dGlGfSU72Y6HYQS(VIsk$3_SRU
zoEiU+$KoGK3;e@v&;H`6g1>mh{x2?)_>1;${^0GhKd68B5BAIbL8ni@k+uFeUibcu
zfg69L$<JS?(DDn{1pPvOy<aG?<QHo7{f7tQ{=*!T|8R`!KU8_RfT`IF$ZWfS!J-Su
z@%ks0m;J;&Za;CU;!nIc_XE#0{=f*oA9xaf;0dN57~1_E3uC@x-_Gy&kLx>bee?};
zbHCy5{ol|-@*94f`ilP5Uy=9NSG=MA6;CXDLCv-=xFY-u&KiEfagHxIHZ+g#vgUEI
z-8{-m%%juPXDqA!j6aTjM$1i~vFFzu>UGXxf7Bd0?VLkao;hrOGK;4RXVJ)c7T3wn
zBKPbJF1s>=D+6Y5t=<f7Wt+hh1E26x`X~Ht{R#Jpf5MijkEmSp5ij|CL_MvK_=4#p
z#`b+c{iF}Lbl(RY75acTUcbkSmG80g*n7OJ@gDE|eTQ>B?{ID6J9OUr4lfD4Lyk9Z
z@nqFo{BZm&dTG8zCg!(TbZZ)Sq)a1=)imA}o5telDGaNd!sEVE=%F)(zHC#Nbbk^X
zvL|uEVG`G_pG2>@3B27jfhwUBSZXwZ(mWH``0NetIsXP1+}~iG`Wy8A^BTAGzD9}U
z*T`Y@8kb1C#%1qcq0r@5s1^7M4{m*hMVzm2>d8ygDtU?dM_%GG^_Lj&XB;{D#<3)2
z9Jknv<NVrjto`%?eXqU1ouMyKX~zo`;d_CC<6|gUIfk2k#?Y3=FrIA;Zw-wicflwg
zIyj2`Dx;|N>p5QQd5*d%&+)O%bM%*fj<R#laPs;ytc`qz5qqBDL7`{3Z|W(UUV4hw
zfltxX@F}M7JjJ%L5nQMkLA?_rn5i>@-`Pjd`SBARD|v#>9#8Q5<|ml7<O%8zKE_}9
zkFn#>V@%t?=$ifS5!&2&gr?b#aIf<tbWwhUA-^7CW#2=5k^T_H93P^G!b9x)IgE-u
z!&sa;jAHh~SS2@%`ad4v)XfK&mGS`1_CG)&xd%A+eF%qc4q;o$5H{^+u-p(1{usoW
z?m-kt8^qlXgP5i;h_4pzBlg|L^BMP%|G<6BRKAbmf9~P6{(ESfa}SpvyoY@o?qM?X
zJ#@Z5fLjU&P}zL|Wi$s+o^1f((OtAWe;0#}-^EKhcX4jTU4+p)m{xTMzxmxk7sER^
z&UXh7PW0o?hJMTn?MK}`{rFw9ADcei#;DfY=n#J!4Qy`XM%mk__VX4)PjBI_tXt^m
zdJA*aZ{gtLTexbt4-cH{!`9<{D5=+n>0Eut^|BXp>v~Z!xEBX@^`gIMFRIM+;FlXc
z*qPXa`TKh?M6m~t|LI1Lfo?om*o`qB-B?cDIJBZ0*<Rel?X@>CGw3FM+I166#cpE9
zY!_;EbYVwI7n(YC;f!h*W-aPMqv1|mTH1*ZPIO}V)=rG!@5B?+9q8WFfgZ6P7+}+Z
z8S)+2^t&CW2ij4xs2vX<YsY52cH~>tj)4<xID4fHJ)+z2yHy*;$+e;E?;AKga06qD
zZlLk;8_2)q27cnbf%m6cv9+lc8{=B>nq4dQD77+lw-px+x1efS3%dKZV7*ZbG6}b!
z?aX!T?6{6<>DRH=^*V0cd>#APucOOYGjh~7V_R4=2JCCbE$f?+|5p=!9caR_;wBvO
zX~O&4ns7w02|s?khRZvy;l}i9=yvcLR%l+sd5&vn`0^@VxO^44qOW44%~f2YbQP1B
zuj1NASMX-V74!(af|7f#;H$M)u=+<MhTLgHhoVL_@@YhE!$u^bMl_tgjJ7u~<LT_n
zc;5XoKGC_1e7u*@{%r$ZYHh%ksSW7s+JNsh8}JZk1J1s_grV0ip=iP->~Xw=z8f#$
z2KGz1@S-03FV|yPOg+Z$ug3tjdOXQikEciLF!oX%o{Or(UfVkSs#1pvtaa%1ycS#Q
zYjIUnEuOHg#g{6zXu(>GkDu3|<E0w>7FB~8b~VTdx^RxI25ZJH;>pVw(J=NRu64MG
z%Qjxb1@?>h<z+SgxLS=YiPb3TT#b5~)#$mh8p|fDaH^#WRnw|4>TnfKYFFVdzAEhe
zP>I@ImDrP0i56a!_<3t3W(il~)-M(K_jUz#7FS@BZw0#Us=#g16{zyN9HoZKQL?HW
z<wDC5t;*3#xg3L7%dvLs0!}wxK)Hkq=<9p|?`d5?Wu6O|`>qUEbe3U!P8qH`R)(d9
zWvC-oh7;dQG5uaC?zm8jD}qY#>Aq5|RV>9smQp-5b{-F3Igc)h=kbW^dGx3An8tS=
zuY5X(uX@hm>a*w2;?y}T+I0@+*PX*%|4Oj&NeQm4FTsMC5)^eR!79xX)Zr<?7w?NP
z>Si%+E-1z?CyKGjgdwjhM*Dw7s54T8a+iuwG_DARoQqHri%^ZP2zSn$MX$cIm|uJr
zhy2eXm-$(=Ryd2*EN78*ypW+sh4?hJ5cjwj;-Enx+K3k7rym6vJ5+$m)dlz>q5!k(
z3(#_N0ZQ@|;P(&tINXzu%|-cG;h&Es=J|MDF&}H$^0Dhx9*(!<Axl;ssvpZk592(n
zlgh*Y{^sJYr@2^tITyK;axvs^F8<WdMSqc8T>LW!vmWH2T1^g)MCV}ifgIGK9Apy6
z!T$MdEF8#2zlv<M3(rO)`)t(F%tmeAY}_`Rg_iwUc)TnNGeWYk!!`@QZOXz8JXv`9
zQzqWNm5CCinHUzFi63n;(P2|2KIhIv$4?pf=~f1Ymu8@3NCx)XW?+Cu2CA>h!0$8Z
z*x8?snHSRWcvw1G*r%g`RyqQII%>_Qq5i!zG_Oj-qfu#?bRZ3zwbSt9nlxPhBNaV{
zQ}KFTDsm;HqSxV6d~A@4+ayx4?N18oJWIjbS5we7Jq5perC{#P6x=GCf(tAuc=dHM
z2DB%mQ9&|_`6uJweaSefmW+>9CgZ@zB)oS!37=d@!gt|GxY#KP*J&rAsZbI|{!GNq
zM~TRCIT6iL60zKaG2W4g?&}lrDN7>md6R(mI}*_1YywUNBw&zr0*Y!RU>|P+`pw6q
z>R>#6sfouM@$s1K7LRU*@wii((eP+-Jj%U_L+SQ7lr4<IjRA3JWF3dD8gUrM7l+rr
z#Nx-HSd^`gMbD&IY&jZ>+&f~?OEwlCvBlz+sTgeTjzNv{F?b_126sBf;2TEPW|&9}
z!|q1o$g^lnZjQ!XInl`H8;ukDqOnCi8uL~~W9WPo9vh0nL-kR3FgXf6JfkqsBns0N
zqOf6k6h3_)iA(z<QKvEzgJL4F=TIc_8b+e~x=8G2iA2@O2rTN3K)%ulOb?GhLFWi8
z*N;GwjKJs25g7U^9F;o5@lA0!7KenRt7AB->4qb#csRcP7lys#Vc5_fh8K#$up~GP
zOC7?nPA3ez#KLg&Unu?^55@Hzp=eVais>Pt_|P#FMf5_^Ln0J=m_t$ebqFSOh2XDq
zA?O_*f^*Ixc*-CImq>?TE=vd=y&H^I5`%HY?qEE@6^tK-g7A2H5VGzI!YckC+&^*#
z#q!SJob4GL6gh((<AK;-5{LuNf%slJ5c%H*plMYA<{u5fuSx-E_xUsqUp|dir%vO?
z&8IQ>mp|&Y`QxHce|)gTA1|@`W6^Ct%un#c3%mWWgU1iwJ@Q3~Twgq7=Zmdkz9|0Y
z6sBD`g{zL7V(9TH)cbrAXBtmpmETD`!SKFKm`>ux?h_~<a{^U%p1>_!C(!kw4`$~0
z;6pnfl#uYjGn3vpUFnUEo(xv=#xp;TqeSa*d>C>ZGq)Z`7xv?*fBzUNWgNrx*2hp)
z^cZe`<Aoj-URdJcg>TfnaKleeOuONU|H3@+^mb2N%;|}F!yc%c>w#bGJ@BfO2S&X=
ziZ1m>anGrvXpBeEe9=)na?2f)liaauuRAUla!0dQN3gE^2(Ixwg6ZlE{^f>soo;9r
z<A#fOyI~if8zzk&#>3|i<DMgjahvL4H2!%A?b;7vVALV3G&zJ5yoXS6^dLr@KZx&+
z97J2SgZO;G72P^rktNm@YxlUKtAH!Yy>!9f<t{kt<%0bhF4*(W8SnKu<3zGEF12z-
zEpcb`e|rFX>kpu~{{f8AJAi+d9l($WPRNz-gtg923|s7kJl`B~<c1?&jB>=p-HsR_
z;E2Aj95AHH0keG^umv6PBZ~vd-?vBK9D5vevPTVhd#wJt9~Ij6<MrtMXkoe^|E<}N
zS0?PxuhtH?``O_-eLLjlu)}4KZIQFs7R8U)qK>*Py8pGo(pxt8A<YJL_S;~wj16+m
zTVrgiHF8H=;{{V|+%9a5Kc=kk@+B(_475TsLo3|KV};UVmMBqSiE=)csH<&>&dV$@
z{h<X87FpmLcMC?fYYQA^w!kd|`>-Qt9~!&t!<WkYF#OkE+|aid=hF6Kv;AI7mfMTo
z-_6mf%N+M7nd3nla|~E#j)n7Pc(=_A+2YM`x1|}Dt~EoJIaBm$HN{Ucrg&nXDY8kL
zV)@J-G;i6195H)vXzw08FR=$hXLjS!mfh$avl|cX+l{`GyD@!s7q+(U!q2h0aD(M8
z43*l2&p(@>e!B@?Niacm8x!o1F+r<uJMnkdPP~}16W#20qME`^WczOizU|wAk281R
zpfiJ28S+14WW8sMDh0-P=!h{^Z8pXQR%6`z$Ov1`8=;c75!UD$;pUY_cz<j=dSBd*
z5&_$B)Mz`N7ub%crVVl5RYTN`G(?TPhN!jH5RK-yp-bmBj8EByZ4TS;kJ2{W{&y>$
z9oULYg<H|{=vI6S3|`KVpBrFdl>u%$ZGgXw46s$u0At^6L8s;|xHWbQZnWNls<K;f
z^MXF^xUG*za`iF8O&|L;^^t>JAFZG1VMCQ3@(1W))DAsdB&>(AA9YdqhAv)D)I}G2
zT@+N-#b^I?uzXMlgG+SK*;@zAw&<V<uMV0s%6zz7)yB|hZLGA?#xYrK6#hkc=q}-n
zLPAk5!gyW6#XN*jZxH#eAl5}8?zKW>kwfhK1sF2`Xj=rRc^pu33m`uq1Jhb4(X53U
z@mgrLUkf9YwXl_03;zvkqR9nKyx^ya>^n3WK7%HHnca+jU7K-P=4LEAv>A75ZN|SG
zo3UkF1H&6M&>~U;)vYv8L|y~A|87FAp-s4^bQ3E3Zo=KhoA9*ACaj;^h@Wq6M9SWX
z8AmoUZtQJDC+>|nGNFz(P3kxuua3bE>L|HE9q+TMWAw8PXk5Di1;RGq=Y1RSq3j0i
z`lE&|Lu%MwriKIlYB*)0hU}7RsQFzLz57-1>RDA}@li#4Lsje&QbpA{6|Cx3L8V+3
zZ1qsVeflc6z^{VkAC%FtLmAg*D&uE2W$b6vD6LtgjQMYsF#U!SW~C|N`9n$!JD`MP
z+)Btkt%!Q9iWruvi1!XEq7*7(B)1~YO)22PRt20&RlsA16p)1!u#`suP2S2QbDKQ2
zr^{osn>^a+$fE|IJc@phL#|Fa<j9so9uGOjw~#{;l*0qFvY6T<i~aesxWZc&ZMVzf
zWl>q=`?elK@2tlkCF{}8Z#~1FuE!kd^{DY%246mq!SqTQ+!G>$t1V^lt)dLxTq1)N
z&(~p2!#YfhU58nY>yXhQ8e2Kn;fqOWWWOPex*5_K;x3K1^`%jGjWqgymco~}q|mfj
z3h(+dcsD~{Cx!lh*P`&_wRpQ`Ee1!fW!SB?j96hUj&ZETmI+Bb-zte28IqWMl)(lJ
zSy&QVzDnTOT?t%PCV@I<Brs^71okOP;2Ks5^nD?YV^_t|Bv~B$4vC|&t~fps5J%6?
zV#wJqhE3<h&^<s5*Y6d>Sp_j{XA#5P7or$=O%&ZyMA6ZW0ew+CA|#4uzKUSpfCzS6
z5W%@%5tOwS!J}#-*tA>(IVXkDqfHneWecO>abfH-X0Q}P{v(7QPlS;3k`Ok<3E@!}
zA(Yh?!r9eA*#3D9=G<9>r_0vh!QeG$YrO`oH>^RY6>HFYS`ZUD1+hL~5XVjm;;KD@
zXeK9!`AY=x(+dII-YkF@(*;n_Qvg%83n1580nGig8s$e;V{gN1Jd(H?1rD#q`}(Uf
zS!6X@{p3fvVSZ$(<;Qn1{P@_JAMa}O;~hbM9RA9OllS?MshSU^qWBnbIUh2-Htb!^
zhn!z{(cvC1HdpeZa3n9rIP&6e;6?w{y!dZ^6(-$Vh3l$TVPE7bJnpm#rDzqt6j+62
zUwP1HkOz$}^5FUy9^`W2L1tYZ{3XPLe}8b}vWMI#QqPTA3Eb#-m>ZJ~xUpB98(IHw
z;qIqgSaO96f2DGvy(bs;8*`zy3>UU6=0d%fD{-)OB_7IMiEO7<V!hc)bW&c4LL4h`
z>@6o&^l)O}IZm_+=0vjNM0rh4l;Gz?@h>Y-W^e^+)U3eWaVr>lvjTGsR^T0p70CLJ
z1C2&GFteG1@!yaGx1Hd?YEuprQ0BlS4i4mazZ}#1mZN0Za=ae49BmwzGj2;S$3~&$
z=&`_#%1_vFp^+W$rm<uBF?NjG#g3;G*zpKEJ05(y4BdN|p<n4TOblCw)sD+>NP8Ln
z6JCZJe=WrmPnTlLwWY|OwG<DWSc+X{OHodBDdw$QiaaxHn0}WHg{#@HCYBAi9cIJn
zZETn-&4yc+u;HKAtk~Ykim}D4XdBFmo9tN`CmO7{M3@zS{KtaxPg(F=6ALosu;40R
z7F4oeLDP*a7|6?lbzhd?hX+egxnT(gq%Ohx$CjY{o+X&9yaa!7E<vxE#rR=hF?!W3
z#{Uu)W8%@pxPIqiyd%FDPc2`JvL6=VME@czuUdrOaf@*4kwqwOya*S|Ey7RB7UB3i
zW_)^^8J|}&<76x|{%~VPE@Ng?m19O5c4mx!&xGCmOvqBrgeLJ!Sm@4#-*zzJJ_ROh
z<zPaKXaB$;{~zet{exX1|KP}rzmQq<7X}^w!WzlHaN^A$7%Tk)`wlW#<`0~B_Z!w!
z|AxV%zadlUH@MCHf}IV&7_B{if!?NHVD|Gr@V@>Zlmz|<<J$j$BJ+O`cXI*0M=rqe
z?F;aWeE~8CegdZagfC`4p_%U|B#rz4@BAO&YX1WcN&Eo6iSLk8{vG;`d<Pb#?_l=%
z8`L&_13|xUkPhEK=-*dp==us)QD0$&@mCmH@fFSweSwI~FL1*83;2k9fsj}8P*64x
zeQxu>q%;rP=RZTy)z7db;4}E?e1>0(KSRQ;IZ#NPgJ-65kj*~_2cFLY7SDo|>nsS#
z&4T#s45&BGfQA1IL~GAL@8TKYz5NM}C4GWt=AXb^kijoLf>-HBSaswh^eBIX$ZsED
zZ_5Wz4gCPZh97``#Rm`_eh=!o@4?F9J;X`BhdUqM!J3A5;OqAeUTePtTNVc2c?-U2
zZ$ZfVEewdgg~X|8u&tQ}jT6%#0n;G3Xd1+BPr-(iDcEN@1(BjtaC34JR@O|y;S-Z^
zA11+I@g(&1Pk>e01pKg`fKrJGaCr9yWG=mdKYnlEmF^oDUit<e48Df(oY(N5<7-$e
z`x>l2zk<T%S1=p;3U(R4f)<`vjAjcjq3!%j*n9LP{8WDlm4C+JaPK&%CyxWC)i`_;
zABXqvUckqO7w|ja1qg0^0S25eAn?f;bQO;Q-;psmwP6e<evg7f?<l-Y9)%$5QIK3a
z3d0|tL+aJ%us`HEY%+ch!o1I6<%?&)Rq+f&y`O<5J_9G#XOKPk6rSZh1v%HJ5Uu<a
zJ}-=bTlWaeB#l6b^$3VbjR2!&6+|>Y0po}#AhP=j{1JQt?<XF^MBQWfc=|CgZ+i@D
zxgUes=p#rhe*}-bA2G7V9znvgNAT<6L+~wr2uw#GLYBru&|Lfw-rXC93wgufb#NHA
zstv>XzYjp5{{ir2Jpj=I4?tb%0a*Sw1kt@ia5HTPI2?xHfcy}2{}_Y~-Gfk<G6)*`
z2jQ;lAb5Vi55hO^!;|FuP-J%>d}Qy#-tYH7@8&&#6bA3V2Yco2fzOWtDC!=7C#eG<
z>@WZx3IlLw;Vx|Ky9*aH?t=1xyU?b57i|9Afkk)jz_pw^;CJv2Y*oJlVvFto%V0nJ
zDC~#t?)|{5)eizo`vD%`2KUn2Q0{#jW_54FmX)`mbnF&zU%Ulzr*FYZqgznC`WDbs
zA51s)L1B0wIGFW;qC_9C&Go{kwq6)d?1eGAUYM5eg+KrGfLMPInB?|A^x+;D&|t`H
zJ#gl6H%ymx!~T=qFmBKd9=zSaHgOYbF5d))@S7lPeiJ4oZ^HHYF39idf|#@}2tCjR
zk!oF#xu^>+J?Mm|=Q?49Pbci$(h1qCI$`Eb2beZ?Kzl?7XzpXMbO-GD-VUF7+aW8v
z9gGjR1G{EBJX+Qc7oW93a&;S=32XyjlQswxZG*(w8&KJC1BOy>0E_btFi^h%$t*Wu
z@^LF{t7wJG{;eRtqZR6eTS0rK1)jFIKyYdcs5rO4C-oM%!rB6{BiG?@)palnybjxU
zT?Zra>#%RW89ch1AtkFB+736v53Odv70r+^-UQQ^n!qHY3EC~10A-t?``0zFymt-0
z6<>q1KG(o}+cj7vcnw~BxC)JJS0OX?DulXR1wW0eaGL!pM2}s8qWUXvGyDq7TU-GJ
zxhrt|Pa|{=HiB?zBZT=j!WZL4@Dy!?ub(eNWY1-g$h{1=j$Ve-x|czN_cHvOZh!|Z
z4N#xl0J+W$kf6~3amyPZef$!XU%mvr(U)M>_7bdBxdaE6T!M=u^}t+H500Vr(7&%9
zbmZ!x?Qb1yAFhM3@;V3%tb=u?b?{ue4)Xr11(*A^pjlcA0{*qIXjd)#kgSF8KWcz!
zpayu))xZYd8nD}011S<UaPRv?Sbg^*xR+dn+ovvq>duP{dvp;bepEx{-D-ey)iB~)
z4Z$YWpt`miKK-nM%lE1vqO=MePFKO!Jyo!AT@@(*t_1Z5m9V9v66}I1A!KhQ)XG)D
z6jLRve^LP_YbxMwcm*ihR6veO1#q%eK+;$_2sD<%#kg|V;ZzP^HOir!vm9I|FMxdO
z1^AtI0Y=;|K%4Fbs9k*lDrU;yVow=dFDQctK4tLLxD3Q4%fMox6tV_O;bnO#s0Wuq
znnfx6r&tO{SxVvU=y~vLJP&{4&qI#$c|bT1?|II{x%cP5rRyB1<edXn?{hF^bPfh3
z&cV%v66hEzfxgNT7zr(bFV-a>pjHCg*h?Vjbun~YF9weEVmRPl44qqwK~A_B3cnV?
znt>uHE-M0+pd#qEC;|^<#@x~(7<zdYQk&0$ZQ5B-c0UUo24~@m@L8DnRtPWd6~gQC
zLYNIH1Xi0ukl9cOrW}P3IavT*Z3VC_rvR*v7r<rX0^pY_fbc*0u<$q^{Oj{!QCvP`
zI_HBb<--&He2ALM1D*anU@pyrfirn<&N2@|RP*5Q@;tDf%mwrIT(Hc|1s9)O2r$Wo
ze3@M6X3mB0&vQWSY7Y3O<Ur4n91z)>13_Xr@OB{^Y#(OBNNqOQ$7aJP=WK}7&ITF5
zY<Tb`3!?62!IsJ_SQe25PwlgyK{E?7c(WjQHWPgMGvQcSCY%b%gh<;=IJ+qmI=D08
z!^aE|yOjZU=QH43PzHRq&H$s08BoQQ0lXj6A-XRe7N1Xtn4omvw@HVZjp<;*oetkW
zra{H6G;l6W1DTLC_-dO5{TgXdxhf4(W>X>LPAd49r$Rt@DnvP?LLQ{TwbiLG`XvR}
z2U9@rVhV)Dq(Hw*3JB|^z$uXwc)E}bTOTLG^@e0dbNght;hqdTw<p7dR5C;`CxhaP
zBpAP*1i9HsV0R)3)|)25AH^hi#-0Qn(}_^qod{(m3<M=Yjcp>dZBB#{zC`$MJ^`c$
z6Tqq_0W#te;OU_RShqC+0wojR*}r(u8;ghf>+!HYCmt$J#)GPPJannVgB@o){QVFI
zmAB)-t~?F|BI986Kpa%)#=#lUII#I03%bu@L8&Pgq_SdR?TJ{BGm8Z+l~^$2j0NwH
zF_7OM19vN8fF(Kx3|(U&bxRDqk%$3prWh!B5e*zSq9Hgx8h-gR*eV*9YeYj4Uo_y?
zD0uZC3X(2G!IqRLVD^fFK9eZOREPri<xybtJ`$8~M}lZYB=AK?0`I{{5ZW3Ea#E3?
zw>T0UUq?VpX9P4AN5EWg1gJPffS+~*+!BcZ@ju}ZG8ztVTf)IAKO6>6hr=G5a2U}H
zhr@#5z_bts#Uo*`y(tWSW`{w&Zx|f241>)YVX$;{7`*%*3LTF_q2g*N<Ya|H@~Kcr
zvIvFDO`%ZA9||qsL*Uut5MaI*0xH=daL_jdN-aa+y+#OZ76<{M&%yBcQZSTw2SdPy
zU~v5!1ol^g;Lxcc2-XOK@}FnmMe`Yu4mbk=cm`hm2?UGwKzJS!2wwVuz_TO}dU^sN
zIywNXjRHVxc>u@_oCewC)3Dj}G+3-U4dIXcp(EQLIBfjkkgz`tz3>C$5<eJr_5=5I
ze!%n27j9MiLZYWHIH~%A!Pir;>DnpKIDHBX=@cAfIt3XwPr^{tNf0qU34SY1!t22k
zV4HCQ-dLW1(?TaeeB1{fo%4a*gFbLn&Ie3pyn!0L0Z(~@v6eR+`g<JGx{kx$sN=x5
z<2ZP%JPyOd$6$NTF}Q1Y4D2P2!M{l_sH^e<4=*p!QuhM>1y5jV^Mr*k25<Ld_`sf^
z^}qu>vOS>I&IA5Rc!1sXQMi5aC>VGjg?k!D;ou*4;JE1yoiXkZvCADSc->*svm+o?
zd;}y89svb~Bd~Se4URUsF?8GwrVQL*^Kv)H89EGXIfo&_{xGbRJ`5Ef4#Dn*L$JjE
z5Zux^1bM87;Pk*jIGk}1Tx<`5r{qD1dglrk>s{fcuPaFExPmvUD+~^}0A{+tRXZ2Z
zmU4lIADqGOvNOm9IKz8=XJ}$~hV%yqATaL$_#8L@esTvOe%=W#UU!0LVNSrm!wDQ$
zIYHBNM-VA>gp{L>z`fBCivBnN^g6&~k^>Z2I)Ib71E{~V2i^vISQKCnf40~I>k4}i
zdAuL=iuQxg;r-B{x*z`iX9w2ZcF>t<2b(PIpjq6Gp)a;Db=ekD&)9;Ip)IWBwuRTv
zY@n;u2I@U+pn9_nTwY`Yx9?iR$1H0QcCrQ=d21;9W(9xRt>8eM6+GH&1^dLT;PpF8
z2yC>3wZWD!Vq^(<yq4fLZUI}XEI{d`1xV>yfXs3W(0IHL_Ll5}priZXipD-zShNp}
z@9l+(+`X{MbuYxL>;<mh=5Vgh9Q4x7;gh{NT#z$|qu<Ryr^^h)lFS(E*9=(JnZfdT
zQxI)41?@OfaJMjpGD%bTFtZ1=TlT=&=smD}?;eN{-vjKQb~ECU-GEWM;jP(jC=uHY
z2S4tD&CR=Db<{3cWWEdj6WaxUKbpYG>n5NWZ332iO(03a1cqjIf<)_1I1{@QrYv@X
zt<+8!`@93(+jjtK;tr^>*#S=LcYwrqWB7E_7<yBUq1wS13KWeY@0Ssj-Zp}kY$JH#
zY6L6PjbQsCBS;zC4ijg$gMr6(sE6$!%f20IM+`xy+z>`j8bXwTA>b-Q`1@)b+^ydR
z7lOAz!me!)B(e?8eB25#EnA@|ZYy+IZ-vk6w}Qe?1MulHfZi+vkUnStDH{!djl}@s
z9&Q1_(k;;FvjuFoYyr+yTVUX|KIAm$gJ+mN>@m{^ZApFDJg*1ZU3#!5O%FT|=s~uc
z9^74|2P=kk!REX!T=vn0)dso{&8rKGCv_nHiVlcI>A(#O9XKq*82{9Um$$T`Hdh;>
zk7&bD(1!gS+F(6K;8aU+BA6h34?&v*!Pj|&P2C9LnT+c&2N85PBh)WLkbe%)a1p>D
z2;lW@fOrW2-7i|e)T0G=vb5mbVJ(Qz(gJS|EpUIK310P@5FDlnd3!aXW1S|<|J)49
zcQ%7>;byqwwHf5}H#7G6&9H1*1LB%BfImS4YV0*&x2gvGS*!t9A8&%wm7BmQa1*TE
zy$O~|Zi0oc8{u2uM);k#5jZ_Jg1p{FFz4L}QPb+seO(<^B&mawlR9*$tApH9btrni
z0mSMyKvmcV(6!hAuVgns;vY3I7*Ye)GBp_XQ-kWAYLFzZ27zBy;p8n<@GDS-sAH;7
zWS|N+1yo`FqY5Z=s=)C~73gqNfi>DH5X_?jvs238)}jnE$;uGqq6~tX%Fwn#89ZMr
zf$TLUn2A?{Hb*7M-KYdX>`LG{t_W_8ir^Wm2toFWkh?(<+LkK9%$NeKzpMZrF$&PS
zUjg_xD8T8Z3h-`B9-J@B!*q;1oV1q*PIY;>v`iix#^qr36*+hoCkN$@auB>p4xBjT
zz~r?o7&OVk)+AXlb&-WbTCxz$B?}Ex>tVWeJ*-P#569frL$}U)kmO$v@gHU2Z<h=N
z<jTOJV=|DjO$Jm%WZ?0abr99R4s=V_0gK-{c(`jF)JU&`l;6^DW>^|dR7u0BP-zIW
zl7<{*X=q}VhSy_Kz<)&w_9jR{fwL6MXi0%Fj}+9uTMOcyYauUZEr=dl3l|O7f`Qmt
znEEaWY4;>y`vpl@8YBr1_DRA8MM;QYk%XgT5{!LS0&Ef`z|mC#j*$e!@=3tOPvY>j
zM;y4$ii7DXaVXd&4s+|oVb?z~xcWp4*4K+cX^a@iI*CD(rWly=h{4zQqELKO6f6ov
zf&Zi^jGKr;!#Yt&{wD$_M?}E&k_b4&iNFD85%5A0h~g803p2tn*e48&ON2r9v@k@Q
z3&RryVNhiihKz9`U~U#-{I?N;AMQdBvQ-FHi3vg7&o!{`!5Ua{aShyvTm!)lYhZ`w
z8W3N#2L62%gy~*E7%3Kn;nRZfWUnAhDha~xrGg;*MgX?m5CH#d0l0Ep0DkQd0OS8z
zx)Nxr-mgvOc}}Jz5s6S??{m+t5K053QdCMRG;31Hm@%Pb2$3-n5~0Wt4Tc6OnTn7G
zlGHB^>VMa_zPr}D_IcmC)>-SGbI;z--sj!VqdkpD=b6UvcPTRaOBI>^C`HD_Ly;M>
zRAi2+D>Bl*rZUBCQ<*J=QyIDNsm!w-Q<;QCQyF*Vsf@*U1xEX+0wbHJzz78^Fap~Y
z7zvI7GhI=E>qF!jrxtl8<f=SV87R;E+9J;^L3t)dL7w^eMUGk7EXP#j$T0?ia!mdf
zIc7e}G4~YY80Rrr=5MnslY3Q`*&HOxD7(lqy^Jh3kCJ81jLR@?Ph^-?c{0r65E+JX
zm0=bwl3`Y;$S~V~NHhM=rJ3A9X{IAWnvvZt%{W*}GpRGAnejhTj9rHmQ(7v;Xr7m1
zF71<Ilx?M$jM-Am0)8pxajztEuu76qyClgxJ1WVXTPw*p7)mlTB_x@jA0(KL`w~oT
zh6GdWC&A=zmS74{f~ioHU|PP3GasIbGm?ek4CkykbI4tsxnU*FOlXQTHoW3o>?+1g
zsT5=OB#JSwkBTuH9mJS!BQa*Tlo<18Sd>X@6lJ(1?#%ERQ6}A0l-agKl+jTaWhVZJ
zFi$&0m>cCH%%wOHCgQLNb7qYQ6JjXBoR<_~vWA73nnqz};Hoeq9U{yubrWU+EQFZ{
z8p4bMk1*FC3Neo=g&4ymAtu#Zh?(jr#KoOLjGBTFbA4QpS=uVdyekr9qM`(u#rp)A
zpDP5J+j@dbkf<QD{(}Hx_)vh6%@JV!oDpC~cL*>aEd-d6nF7oNuK**~$Iocj@H5L(
z`I)1q`I&2*`I&bder`U=o&V-z8aw$I?c01zcp@M3-*G<1!;z19XUesTe9VvkrZ8t;
zPGNL!O<^8ioWh(uGKDc*H-%dhnZgvyPhn1f<7L*g@iGP_yo_utFZ0)nm-)Jum-#%O
zYvs7}aUMptjfeX^53?qghw(Yg!xTC2FrOB1*A#e|uOI(meBM7?vF9Jk=>NmPk-zw;
z;4fC~|BE$-fARU)Bz`ZR#My@@areSWtoZK_DwY4iFz-Jo%>2RlKfiI|-QU>n`y11i
z{Kh?eztN`Q7tRm)g$B!hp_$k(v~T%|C!&60vHef{Dfbgszns9*gbAGEG=T+b6S$=J
z2ll7`z>97_aJ|kC)c*7z3KaZ@;|Ko3FZ2JyKmUD4#oOO;iO+XDvG_aI@qI_-2j9>?
z{2Tta@*AFz`GyiN#<4JA99^8pamI{s9PR&#EjeHDw&z#8HSa6dj*nqy*%(eaHHNTw
z41M{>@cF|pXcGAauiAe>-Kk%&ymJ)Sr;Z}uj#0d;Gm4=jpK)99XS6x?8Hw{5EqFiU
z`uihzJYoc|+Ku3l!U!(t8pi0fVf^Jbj9z+N`{ffx-};0LPJP0mC7<xB&?h|B@)6fv
z_=rn3engJ?M_fAi0iE+cV8Fo-c+2zyPE5W>oBH>d6aF6M?cZaR;(MI-dI*a$hj6{;
z5Q-WPVe`a0Os;;1CxYMMu9fd_yZk%!>>9*?^g+yVAH+_>K~$L-K#%GHd=NZ<#;XP}
zPl0QD`td<#KYHxxN0kNr*!lY{=G=RW0TFM}bM0H)rt%iu`up%$ULVGL^<e|khrIlK
zxV*U+uf+DE;O1WR*6PKdBX2O|)*ICHeS<C5Z!k#u4KC|=jjHLd@sG!A{5bzL4*u!E
z&ka2&5Y>aajy>q4(Sw&hcH_{^ZtlJ7#$2mzoG#ssS30`TD5DFX?CHW2CS5q6rwe~R
z>co}{omjBB6O(6mV!~JlUb)kOWoJ6DYjp>TD|g`Xfmaw;@CrwdzruAEukfM7D_r)f
z9oy5}@zCCOR5okJr&HSTLd#2ZO?ZimU0>oHgO{lB^95?vzd+Nd7r1`Y3k=YDfp@;N
zA#Y_HI)t=g$(lCQnBIm-AD-jP(&u=~?>TN*@f-!FJ;$2<Rtzm{#my&MaglW^>dUpF
z&YNdwnD-2q9(#tnES_PU)H8h6^%Rw^KE-{9pW@TSPjQjNQ@q{r1kJObVEdsb=)LF(
z&K7@yZ(lveYgv!+^r6SNb<ty7DgGF(J6dp6b_;IvYC-?SEm$DYf<v9nsDHH?eUCKb
zYx8DYCf$s+Jx#bYuL)lsZ$dAtCRCGe!smUB7+2VcZa$5;#I_N2l^RiP=n+mYeS~^}
zkI>To5qhXU!sL;M*m>t6YK1?<Q;rYujrK!a{rv$p-Ftv*&p*H+mj@U+?*T6SdmleH
z-^ZIt_c6%hK5m2iXe)dlm$WyaMRo()A89~O%La^*YruPN>yfv(9&P>WG2N~n1!mOa
z;n90IdiNe4J$Da9w%o(3`uA|{WF3mM)L~O{9VYInLoZGpZWOOW+wNLimS2l&Pt~IP
zidu|Nt;O=;8XT*v;Xao&7_zwr2lQ)j#oubId0dT)Q>(Fge>J);u0}zbYAo%$iwBDD
zqDkOg6n40a?`GY_C*P~E{(coU#8=_7-BtJjs!&|43YqRoJbJwnD^FLVq+KO?YE)v|
z*E`(j?hZb@cn8<+x`Q9h?%-L`JBZ!4as2viEcd;Qq4u|Nhvsdx{a%6Wg9>C4E6~!j
z0ynZ1=q*)&nSJHhb+a7Rg3Hmvu^jKsDaYB9Wf=FQ45ib#_HY@_wl2eaN@eIVd<)g8
zZ(&!=EzI0;3%PY>+#q@j&3j7Gtf&+ruoRcBFGXkFQat^q1oNJhaQ$KlY9B4ZBg;zg
ziE0Th_;M37@7+Z8_?wvJaT87GCbr7lMDM|3)T=1Q_h*Z-$fXzq7Zjt5a536+-$175
z213vcG<Up#>*wCUBRn@SwXF!-t`?!3PZ4gmFT!H2B9#4Ah(3=C@oRb^9y(TtleUF;
zVMZa&|6YKv9~EHi<pNyiRe&>W3h+PG0&E|<j&=91V|mhbtT=ET>z7`~PUY+PYcwCV
z8uHQUQa&c_&&PL``N$}9k4N)RuptjmUdqGY`}6S3(mYgF$-{~-*U<I;HB?N#hA$6Z
z!&K{Qcu4IU+KuO;*`r+4OU*@{Be`g3n~UZexwz%WRXo#j6>nu+#WC-zXli#AL$t4A
z-=7?`dY*%&xjAUymxDLf=inm!9Bk*yLGR9N)Vh(4-67eSvL%}v%d(Lb&qlTWEEKw(
zg}<Y-@aL{9<Xx17a#OQ#-bf~{ug}Dgq)e<kl!-#ixpR$7ES$(d*{2!ko0Eb6ozB2x
z>oahQK?cSPWS~h;I=(4M$Ma{?arKULoXSbZA-Qy{`*eltbFW}r(iM#Ix`O9zuVAX?
z6)gRohA*C{;lI2zoF9~i2c6TfVnG^;Nu=S<!BlLjN=1xI#hd$5(Zo6x>(o=xapE#g
zJiUzRxtDQWz-5$mx{Mw3FXJ`w%NR76g1hgg;QII!TzMb`S1n7yjWbhl@9$)cXiLW8
z>&e(3oQ%_5l5smEW07n!3JoXW?uI0MemM!Pk0)V+eG;zFOTr%hBs})|5~`G6!iO=J
z(AV=4E?RmCMbs~0_e3IAv?gL|ej=U=PQ(zGL=3}3yeOZD*FGoU!-om@B|QN(d=k)U
zLjtB6CE&1F0$RL_$BdeI6i<rB(?{a**XnrmofD4|0`ZvjCJwD`$KjXQILz1|hc3(G
zP+KbwzyG_4Eu9y!p!6apMqk88&x;stbrGXAE@JARSS)Lg#aG3#$agLlP2FShuw^XX
zR*yxI-xqM(%L`a{;{wi&ynv~@FQAI$1x!=FfCj(MW5dhy=vI6lCC{D58u#;fa_M<o
zq;Vd_Cu6uiItFV?VlX#41~2W2!C0FZjGq;Q89Xsq-W`oE%cF5JHX7$1jK&=+qcKZ2
z8b<}9(fn-`UcMWJd`VGw;8+yCTN{OLhEX^o9)&(1&f(Pi=de8e9J>0RLq+Fv_}uIq
zCMcZ4onIr7^CS{g@*|NiEE31vB5~L}5<ja);?F;4QM~gk>Xe<u6|ra0``}qDTy+*l
z^v>b}k+T^1E&{vmaW|A*iNLJW5!~}eU<^c{ykZ2VehbI>t>O5jFdPp@hNFgOIJVn_
z<3;Uobmk97y|-b=R}+T)DPh=rG7PIWhGCg$7*;5R;l1%teEBRC#|lGH;an&#*%OLK
zmWN`oPAL8m4CP{&5KOukf<Lc>po?D!KG_n2R%{41sD$9kU%}Y(Dj1KH1>@AXV5~kI
zj0e^Rqpoo<ev%Hx($O;*^7ssHyM6{O&YnR7&oij8{0yq<o<VitGdO1`2-*8VxG^gT
zeS(58*EI-x%!5#AW)N=X<<5Hpak4rPH>Cz*_31#IyCo2>uz@&TEf6#Q1fXGe05;qS
z!0kx^D0DIaOEv|dI|iV(asYn%>5t_d{uo)|j~<EsxZ2wvIUD`a2>j7N$sgzc^uxs+
ze&|r)hX)e<FxJ}-Yc~4fH}FG4Wj`GH=8LCGeNpSEFLs;wV)~EMc)a{HZuUNnYw$E~
z`0az9l|C5d<AZg??TX~_LC4xtcst+}&b2&+*9A^-<H$+u2|bBtm!Cvi@sp_Z_yqol
zI)MZBC$LxU1P;IOMxg|6G}`2io~qth^7=T6UpbD4U611@t>bv`{V^2GJBHWx9>Xn$
z$53PZD2|sN#kS)|v7R}K_x>KiXSGLgH0TJb+8jYgu_KuA_%Ke!9LAmN4&&=-htaLu
z3xB72VVbKKI?VP$#ZQOueZe7oc<2z8nH<8>Uk9=7?m>JVa1ceT52Cr)K@5L#0Q)W+
zKx@YXSgCpd7xnGOXIcC4kjH-1n71F_jPJwz@_iWMvkwoN??VqEu5I3nAu)R~fBjy3
zqp}w@`u5<#>^=C@a}Tmcd${?8Ct6f`Vz<9123mU}NO<C8s|P+w@W7%i9+*1I15-Y_
zV{VZ<-aG2f?KE^pO+I(r{b)B<M(xJw>v!Wh)!iuGzY7y{cj1BqyRgS(7sgKR#Etbk
zQ9oiQO0C(6|EBH4$v18&lH-P&``plWp&R=D*?|rBcHp##9q7Gg2fkO@fo^@S_~oiA
zh8=K4Lo-(#__rOiA8f~?QQOgB!**P(z8!IB8=4nxL&sy=@YJGhcwJ~44nJ{0NN~Ye
z7Z;q=aY3)Kt@xv2D~1JZMP1vi_)=~w#&mDNO<7yeaNib`H{F7QJX=uU(PorAzZvzN
zHsiWkn=xX<86V$rMs+`D^jYSNA7q_zd$$vQ$Z|rT{Z6P3PWX6=6Gk*|!gX<*P~T+}
z%Ffw@{NFYr|J{u!6S@)SuGxqVsv9xvog+3EIil)GNAzCmi2YKI=+wCZdowrSq5T_B
z1~=ec{tbBi$$DILX+6rht;cWk)?@##b@--X9lnoVhku>cp~h@3Yxh?NJXhs_uR<Mg
zo`VBkP<KH7PiryY)>@PZSc_RJ*Wz-ewfJXX4c;kQgCVEZpo`5Kw31(g&})y7Z;w{T
z?a{^39)qRrv7*}!e_pjit0Q*YywMH?CGEH|dNuycUX8(Ct8vES)p%cgHF|ffLdaf)
z0$!`|^`cc+FTM(Ib*#kF?3GySwGulPuf)F+D{)@e3fy~j1(qLKfl?ML&`Wv+_V?JL
zOP(!$IBtu+R<@`iZ;Ma+mSaTWa$M`P9B11uM<J!<`0d>?94T3b;{nT1z<wEOsxQM;
zBQ|*EjtxExv%zVOHh5Uu2D`smqy0T=Y>lzTtuEF$VPK7yC#}$~*$O3-tnih)6&9FT
zVT_O!`n_C=C$pAfz~QBM(PAl<$S%b<eU_+r!xEkREHQ7jB?_rq;{MMT*k5IVu8|fv
z>TH1_b1hKsk2!WVnPYsCId1hd$N7vo%88ld-_9lY{n`?oII#qUY?t6nl_j|B(_%bz
zXEEN1Sd0SBi_vNBVyybJ2=!VPVOGi_oU?Bc-l0Y4D76TAdkIU62#@#^E?Gl3O_NJO
zJI><AdKL#Ra_vqQ|Cq9<B*LP3Cx@F8a<J?a2l-ZUaFaR*tG+O(SI1!11qSE1F?h#>
z!41L;{_8+2&O<!t!!0haMwHP&{Q4E}O+8?H9AM{ezz+z>CjqGY#tb*zFvGY&Gkm?y
z42^WmFzS~n{%khIeW|AS`JgF!TbiP@qA3=CFu|>rCa4%?f?eB8@Y(_s3=%Ry_s)g5
z@%ln^@LPyZYZu~P?S&Zra{(4NFTlan1*qw@0QXoez#63ms6H|u!)oT^zYFuxZ`XVj
z=T^-!B<JJOx5oIj)EKXY8ROo~#)wA7C@Wx$-(MMFf4&iR`x#-cgAtDE7@^3dAsRe0
z#4TBdnBZ-QJu3}Sf2JXZ{x=UlH_pSYsq?VYYaaLiJ`cxK=V9cS0nWc~fCHBdFm1m9
z?y@vMGbIC*|E!O{>-2FrULW7@(Z|sx`pBcGkE+9S(V})P9*&!fMV@o<zr}OWdg@%v
z_@sv-wR(6WP7l9(>fy;HdMKu-huOn((6(+4{*Ir6rF-Y#35z+nOlb~kj_RUNgD!r*
zq>G;q=;D}_F8)*1Ma6L)ghx8KGgSvuj_BYUTOHJ!se}F#v+?cY*|;)mHrAb-&HYcz
z#wMNFxb>elPQK8_tbA>B4Ae%2P1@LPsLl0r+8Fj)3-_05;nuTSxY1P$H=`DM%4lKG
z`&pP%Jqz37W}(==S-4{9ER0v3g~Q{TXxpTTCFz<t`-CQD+H0bot|nIUXyS%fGjXzT
zCgz9CM7OOoQO9&9ewUny&F?hu`dtl7h||ExeHwVyN&_!W*TAd)&A^7oGjKS22CDha
zzzrK_VA8x9_(5m}w}zyS8RhCI6{C(p?&`>Au8wDw)lq$XI^JoTj@vS)qm0jVY+5%R
z&lyZdC!y(R+^dFi6>8kLsD@)6YB*}4#?5QgQ0PBZocTl*t*)x#VSiQ3+oX!a^HtGQ
zLKP$4so;ld6|_rK!P-MA$XTI+HCigT>Yp+WzEZ~EVr4WutBeC~%6MgwGVWGVMze7x
zlx<PM@7YS&=ck12o0Rb70wsJSsf1(ir=j@0X=s!(4YwYfhVk~(@Ri;)oGCaBkM=6!
z^V^CD7Zovgzaq|Du85hl6w&bCRBY&&imoM7Q8a2Q-f^FbM=YnJnfg@Z|D}K(Z3<Xk
zsDNqV3K-+2fDwxo@SKVQCjBRmH=fDk(|mcH2$4r!S9x?LdCXRl$FJYy(B`Qe=H$tt
zREQk<ZI{DetQ`6%$)U)1S-kvI7CHH{*dHQ`7hGj=#UfdhRFTDw|77rbs|<!0$l!r+
z8Qi*)8&%9@&~ds9ZvQ2XhhIu#RIxPPJSUC49@03~S{m1BN@L1DDg4|eh1TU#m>VmF
z@&~0bbfpvu%#p%yK`ETpFNuZKlDIlq5+{yJV(vOgbTyVlZ7E6o`bh%sKa{|XED3IW
zmB3?LC2${yJCr2w=zroE@?0FR6p7=#NOAn^A&xU`#Bqz3IA%-{$1iWh(5gxdvo49D
z_;E2jwN4Db8H?c&X)*jeB8t&XqNtZEijRXu@x%^MG%y#%PwJvrG%13oyF|FSPy~(R
zMNsL82nw$iK^`OSkP<<W5n)tr62|$t!niI(7=7J@vDiWwM>K@dkVhC#y%xf!l|nc-
zNeE-Sh4AkNA@nj4!ZCRvJT@+f0<D6WTqKB0lpwy{D~K^G1aX<3Ac}|z;<NVxc;$fr
zp2!wJr!xX*xkCUKS_q)QOaV0H6+rCe#}(E5xbreUhWhYhu`@poGW<A0g&$pi@nJy+
zAM#f4p>qNsRv+WTIUD#e#e@&1P36O+?^96w#T2|<G6mPiPQhPZQ!sn&6x=j_3Qm=q
zf}LM^F}sx)PZaaw`t!U9hj?+;8eUX1=0#aqUR3zXgELxraDFilt~$?y2M_UJ@){m|
zV$6f0ay*#$?jIQB{DanA{~%cBA1wdy7u2r(1s>18Fs}C(z7J1=P{AbV?4N{<hLdn<
z><@e_{sYSo|AC5yf57a=Z@6Fn8+M%d4KkeH@ObhUT&n&BNBn<*i^VV4B=8GdAN+(<
zVLu_$_9t{p`~=OX6X1P*0$w{zz*@x#Xz%y|9?3sIeCrRmtMLPT2mXWAIsbuy$A6%z
z{~suQ`3_n)zr&KF-(e4YhwMM!V6^%hSO<QC0;_K@OY|G$wu}QCGY-8D<8Xf3IIQjd
z3YuwOVakrLFgp7yeEKv7{}qmb^x-i8voSdM=L?kAd;y6wU*O=fFEAkS1$MTM!hdn2
zaM5WLEM|<tzk$!tnEM$r_kD)5^FKr2#0Z2{jX+Ak2-H}Qz*q4RFm4?N|M+2e?K}+2
zXAVRC&?i`V{Syov`UK%-pMd^;1m60O&>Hp;Zmj+YsR|z<sp|t|U-<ylyFS1>{STn}
z?LD~Meh<Zd??KM`Jp@R+hkwt9ApFu0%-S{t&9jFf;PX4MDt!mjPQ8Pl=I`LW$U7K(
zItX9l2SH@(AQ);7g4@UdTrC-ZpC<>v(P97^L<eATYd<_n><5=^{UD&*59MFpf_M2_
zu<?5fS~hP%TKX-Byy^q#v_8<<-3K;?eQ<oD7jD(`!j!OHaJKJ-dZk`~w{M{G+8bEu
z^#+ESH;};p2G+E^2IaWdFuLV6w9bAF_rCN%ZAA~X1oXg=Z4XE)^nk_dZa9<E4KEIK
z!+h+9%Y5CS*wO_laa~~K(gm%$UEn|732ap-2!(XQYr9UUQ|^S4feyG?&;d2aJD}6N
z19&Amz@+^Z9KZ4k9(cZjSthUG9M3BdXljSBi|wG|(hj%hw8PHtFG0QLCA<rN3Afk1
zgrpfSA?(u&2)gwG&icQAD=S_=z2Xb__O=a-3fkbLcN?@?wt<Os8{~972d$jvP;}@y
z*wAwr5qS=&FIr*Cl~$Ouw-xxH6+ZB{Lif{W(3SiQhIT&#o`ugqoA()PY<UWaiBI93
z+f!I%{1meOK7naXPaq-w325zj0(T9cz>dkspxF2rUdBC!bl1ml((o~Cn{0u#jV-Vy
zz6Cb#Xn`X}EpX{?Gc+|dgGgdCtlilR*XB2aByTgEe%u7VlbRsNy$O^}o1l`v2|QaH
zK|8GxKJRUWI;IiQMH(Th{Sky_J%V#yk05QyBe*N|2tM>Ygc<n{!S%#LxM}kcq!b^*
zvB3v0eDeY94R`>*>>j`c^#=f-@586c`;Z%PAG|i*hvmBWL4TqFR39{eVq61EcWVHn
z1r1=w*8rzl>!IXIJxm;^2b;z9kSSFU;&1MOU%@@#Ieib#uDl1c)b7E<;W{{8SqBTw
z*1;dAI(VvA2SvYYA-Sm*Vv}ki!Lt@}m|Cb4tA!6;HK3Yb15T%EAbUj(Osdwv){$yx
zsj3F+b6mTn8n(=<hTs40Lgv%Eu<^=WP&#xM2F>q6mE2vpGEfE4rBx6STm|PhR6(Xr
z71aH#gino?FeAAVw(YHi>r@E>(v`5g?+&yV-vRp|u3dKrcF(>80zYrV^~T$<E%`Rg
z*moN~ExHZ0GPfb4zk++-3J43SfXIy%kgQh$Ws~L5^Q0W4(#v7R;c|$zDu?&e%E9_m
z8QiEU1MTQC$k|>7^B0yuqfi;_?Yspl*Ka|a?=47Ja|?E9-2(H8QqXBC1*OZSpm4Ah
zR4q%vK(Q27d@O+@RV9!cT>|f2OTgH)1VThhV5sLNthsR$9tPcnWsW!Dh2Blr^RE~r
zpBKZO>|*dbQ4A)lih+M-G4y=D0kw~AKvBvKxOVUc6fV61)k-&@bEF7(>WaWHt_VCm
zir@wn!4$b7*fLZI4R;E`B)SlacN79ZAv8%8!tS>PAXQcXwGjny+NA)NE-U~=(E|AP
z`Z{#qybg~;uS3)3>+sz8It&V3hbcYzpj(^|P9gb_;G7R{jPk)qC?6ub^WfW!JlGkM
z2XCG8z}+|xehKA4T+cP&+`I-Oq1WK*mTRzY!8IV!YoOGd3x7*<VI(3KhPLIxC(~T`
zC6Nnq16RT1_Ep#seHD^-UWGTDt1wsYDg=JWfx+q=u#d}u2YYhB+9C&9m2zO$muwJx
zkj=dg*|6hqHq5lmhL0NAP&ttWiBGb?FFOkk`eeZ#2d>r20{<ylkkpY0)kT>w5|Rm8
zTQgyoNhaKs$OMtW3~;Z^fae!7z{WEJ9++o<opJ{BkEMg(qjZ>kB^_QJPlpS3>ENit
zo%5sv&#NoYUw8$cgj|7!t=wVCJ(l9G4W$8ZO&aJXq=D0cG>ErJgYFq=p!YKsf}W+q
zP;M$X1f)XKrc|(<p9(L;Qo()TG6+>&hQf=N!DZiNP_e!Yz3P{tU?K&ApQXU=YboFm
zm;%e3Q^00n3fN1gfa_2)_|_ytR$?-=9ZCj?70Iw#D;bjhCc#*H64>2Hf{O4Y(A$v&
zIcyTlRZN0AUoLU|(k1wwaS76VF2TADmq5<w5_E}Pg8YF*2)UaGo(YMt@lYbztw;oW
z?L=_mNrZi!2@p||05{GhK;P~JP_{?_XSD>l`Xe4DpT&byemvX@j)w)?;-P?v2ji*n
zQ2iwi)-}b!x2!lw@r#4iPH`Y=5(kf^;~@FdMew?R5!PP02%J+FVcv#|pl5s$3?(iC
zy^n=;_hRA5<yg4v9ShGKVnM<%7S@QxLfX3v@T2wuY)HAljUgAn*x>?PpLYR_#4f<y
zcjv*O?mUdAoQEXu^RQywc@Q)@50Avp!^QV8;87m~Hfb?1?^Fz^JI27Y1u>v39Rpg!
z(EtylVSQ#aobro?Jm+ZWH;V>Mg=p9_76o@(qCn|d6!-*3!N=`Uuys)s^r%F^j)`;d
zt?e8{-Z%#a=gz?^k8==VeGaT=odYpm?z|@w3T{V2WPBtXJ{$=<>?2{bK_qMui-g_p
z&%()uvk;el7H<2Vg(2s&po(W<lj2!O`xXJC&mzFOFamPUMu4<O1o&G=!0%ZRaC%Av
zi1da-N>w;OQaHRm9u5)f!(qvSaQG(^4);gH;9^S{?9B^<m0@9EvMUT`FAakknqe@L
zHw@;!357*fp|B|_6i$1G!nF;d@Ooh=sK|$c%hwRN{xk&m3PWI9WC%ANhk(g)?wU>r
z%oPfOlEGlGtPh6n^kDGu4+d?QU}&dch*k@RHGj^4YS$U~TyX{-CY*u1V`m_4{TT>b
zcm{&x&p^m{5S(ufg6tbXP!}Bp@Ae0Q?CKz}G6>@0q9C|G90+pFfv`I-5E{Y*VU9;2
z#4ig3aos=&6AlE)_W_XfAOH+=0-z;001oX80ClSXXwwRS7=Zv-Kj;sd4gN5Z=?^c0
z{NeTvf5@@)hvZrQkjU>3mk0bHuig)8GX0<@$PcEt`N6!Ue&DL*2dM&naKFhHww(0^
z!Ii#nSHc(0JU$K1QK!Me?lgeRX;{?i0}dB_z}vwG3KV?c>&sJMm2e7jH=Y7jl~ZuJ
z`y?1%J_*mZo`e96lVIL|0%WsJz}U_c@J8nZ^nCP&kNMspxZfL$jl5y+_;DyJJq|L*
zkHZN(4qyKq1Mli%ARTZFZdo1!PoZNlukk4GMIMEBtB=Af*`v_$;s|_5I0C}XN5Dk=
z2zb3c4AohOLD~H<1kF7RlcQd6=B5{@9`ge3+g>>K_Yg33hd?s;5PVs72>K+r<Jm#@
za`7NYZaN6e^n-Bp?E$FCJ^)Id2f%;c0hk!y4?gAlLB?l4lq}f~Zi4$kt7#v6i`oaR
z4*TG)(mtqoy%*{-_Cn|Gy})a*7fi<Yz=`rb(Co7Z^ey&4vhW^Ie(VX^7d&CfMo;)S
z-4oIWJh(p01K0x|FvG+HWdFE>Y@IvI2z3W`l{@T~cZVz7g4Kt#-LPoaZphHz4O74E
zg819JK-+&8+_T;V`z3dQ?u(r;mb4QdY~Klax;r7|iyK@nbA#)r-Jo%)8+;dc1B135
za3pC5G;ZGk`g3-`<uO-Kt8j&Dey*_8#uYwGxk6U^cJN5u4(zV&Fn!*3kod6;M60)f
zLdZ5SSiKD#6t_X>8y9HIaRKE6E^yq;1^Rhh!1>Wu=#SY7$2V;SWzDV7_-PA-mTUnB
zpDmzowFTs*ws3LxW)Qow8B{zrgW3Ge;QGfIk{g`i?Kx*Kadd`w4QCMi<OBgFP9T2T
z2{Npmz(&Riesykw+nJjnWZx#(Zng=QPuT>En>T_*+(uaIvJno>*$Bzs9HH&5BPfSC
z!rrxx(4yuD%=-;+t9S#D&jxsIy#bEOZUF6`_0XTQ9<Co+4?*mDa2H+=PS4lDrpxPK
zr~5kaU9b+a{yD&_Mh8%ebAVmj9H4Hl1I(FN3#s?kf=1L@DB83ZR%ow<?_+BquWAkK
z3tI!UZVjkttO5QJd-zpu50gRmAYpG0bJXm?;e#DSl-j`)e>+fLWe2B}?cm+J)v)>I
zYUuM_4F^}O21%vWP(HW{_7|@LW8YOUWyLCZGi?<-99#)^i&sLe?@D;OVkHbKtptUk
z6|lTy1sC71fX-DbV4>;?Nd908(q*;~9b^k?Yi!|`x-B@5EC<Ou%b_K7IV7xK4hLo}
z2ZyiAU}?=VFh92pY@L_EwmHkVd7cdv-?xF0SQ}X2Y6GE0Ht_zRH8?!BhUR2zu=liv
zw_pvv!q%YMZUt|$tl-LFE7)&g1<Pcuz_4#AXcjGnnZ8Rwf7Md3R9gzWhAkoPjwL(`
zw*;k4matdX5?UrKxbegSZp2%_!d({7U}6E=1T8@1r8!h(nS;*}b6B?295fWnL11tR
zd@or7UxJpv4~Hcns<i}kzb^)dhQ$zZaWOo0TMTL@i{Y5yV(59fh?_qzf|g^8V1vyf
z7@oEWB0mt|ZG!P|f-)z9khuh0*(zB6m<2YK1<nB$td_9gEX%^_eh%c7aA4pJ2Xr=Y
zfJ?IgZ9f@cniwcZW?=3<25v24z*dHV;kVq^DkTVZ!3c7W2yb-}Dt`l{w*Xv71&BHb
z!2Nk}O#$H1kQt0un1Rk&GjQKx2Bn5(AkJq7`(KzsPmU?9KVb@8D@?&t-4q1Bnm~TN
z32ccs;XWTG(9bb}TT&(v`*tCmE?o#-q1@rbJvLYfvAheRv~2<O<tzZDlMBFk)dIMt
zu>knK&xc(P=flgS`CzwyKD;oW4{lTE1J6fe$gVPm4Kc<b=VlC@X2y^&ZVX|)MsTpi
z2zG=T!FFdO@H8|6Uw$J<d1VOq^9|vbpCQ0HLkQG0gjbXEz^rv1q-W0q#gp?Oe)T+<
zIcpx2O&Gw276X`)ZUE&+4dA$~0k@W507~EW;nyR57`&_xU0(XoZKDrEYWgtwbuLVQ
zI2V?s%mv>=bD`RLE{Lkl<;GY&sCl3VdMSF4c1RCq*yzDEH9c4~J_lYuoCBek=K$yM
z9QeI#4%Dm9frRh6aI{GmwqDVNHOF+pZlx|bYU+Z=PaOz(q5}n4I?#Jk2UOSSz;+!S
zxcPTBNWPd2UU{>j-+wl2cAO1;2D4$mz-$oi)`q-dZEy_J1}PV9cxIvvDH7V?HJ}A+
z?`Q#?*Mj-(T420b3m8Q$SoL`pcs9&}^U1TI-fI@{*v<m0nX@47rzU)PstFEPHKEQ|
z6L5njR2pc4ji4sH?wQHGk266hawc@|m<g9SGhw^@Ojt0i0n+sv@L!S!yz|n4URw<q
z(A0phzh{7G+YFeSKLZ?tW<aF#3}{|30~91?!0thHXsA+$xpC@{yiXmbTC2k)b#>60
zm<}~hr^B|~=^!339cnjC2fz8#!A5*KC=aT^e^qMG9j69O`_-V{MhzZlsKN7Js_@~t
zDu`TH1>;~<aNDX1SIkslNJbS*KdC@;y$TmMs=(G`D)7Qi1svw6Ko6e^9OzL7@iJv7
zj#h?k9?GC>sSMp}%3R#51U}D{z$s4&EY2vwg00+L?w|zo<&<E_$TV<#FpXQ&m<H)5
zr@@PL(?HgcyCymfat0KEr&<xVCn`dVmm-+2QiK{EMX=^m<l@DtaHxDLC|sBdwR@++
zF`KDiqB#}*PAb5YR|=4OQvo8+DZmML1vp@-0Q=Py;MgyD2zwz9nMLyOFhU-_@015U
zb9wMklZWC7Ic^)b9Be6+gSv1zn7307vX;nkb9Xt&pO6K%O%~b<W#L4GENJhNg)Vbh
zNSrPUF27{J@TClh6wAP;NEvwPF2jwjGTiGZ11*!%(A^;o<E7FdcU~Ge`=nvta%srb
zmWGij(%hF%QV@Md3O>h6!Mejz&|oJ8q%Q?EB2r-cP7+?%Ny3R#Nl-r}2`!G25V%kh
z%w;7(bW{Smnk1m)sszNHkpTbg5^#8t1RPM6fFnP}A>gGrB-|8-vS@L5y;mG0ZN<S_
zM;t;0#G&=A7--dqfnSOk44e=HJ4Z2SSSSYOa$@lCizsY(EDE3VMB!YRC>IZl!jPpX
zq|FqC?L49|_q7Q8yCVXfi6U_Km<U{3Cjyt}i$Ic$2&9b)LqUr$)aMC9f0!_c?iL2H
z5{84bgyF^%VffiA1k0<1AR|Qx1WpOT{!K#AXC?$ribC-EyCAr?3BsRZK}d)Z<oaPj
zc)v;zlJy0F=l?$n@4qbU_boB0w_jjds}^UfG2Uz1xJu2eGt}NpBqrEwyXaN3Ed3TU
zo{8^f_VZ<63!@9QvKAm;z6Hj0Pl3<PNa#1Y3@0xaLhOfH@a5LOB4&R8QKi3-{aplG
zS1Dkzq6Utx*2noj0B1{B<Ixxgd=$7HoB9vn>>IvVe<TD~EQ><kweeVSJ{6Y>U&Zj7
zMYuY)0{365!<z3+sC4uN+UdPPj=~2lnLp0mdo+p91o;`)9U{#8E=gwPUU|l6nlj_s
zqs|Q9(PH>Y^qANNBPQaDDbu!qxP7^njJSv`^E|<xNnYZ}IPh&{-u1XKi=XXbR`z%?
zzj#kFm(=~aJ*`2EuYV|0VtJMkmXBr*jb32hzl>*G8k3l3k5U=q7a5HAa1N6!mCu}~
zBF5gkgn3$B&Irm@F(3BVG6y;un3z?KjOCNZjIYyk#%#Qu*%jB#Oj+8;@cbKO9P2+a
zycb8Au>;?j8IC`hpyhuV(M(>>4jq1uZLuKd&Jqz$;Y%@&=0Qo0tc(oj_$@h(-L|Qm
zI2k35)dLldQ^0i2Gjk12hVU#-%X4jxZKf_~+KIUw!*%mGQ45VZhAIm=Qi5h2o&S(?
z>=VoRF}RqMIcUN0{%FPV`nHS{$+wboPtlGeW3-mzwR$~g;Lt{nOOi9E|KV1S`|s_X
z&s;9Jef!-xgIpfERX_G~vdq0WL+6ijq~3dTl+1lN{&s$x?Nb6c1-AmZyu)WWzS<!i
zp0}Z#fmAM^qRUxM%S<k(<4_c54wozP&G8GIPnH)sE9BxiJOc?F!Lmynr?bhNN!QDq
zk8B!8Lz&A9I+4L~?a1PIR_1U@uW&g|!?>KNUe`IoTMIc>D{pWr*_)i*hNYZkT4fw(
z)e26U!X1vBOcm#*WHslsWG&~A^gYfw`3BBY<p-RFnvXb@`b`{HY~koGd%_Xh^o%3C
z_c>>JzzdFTVml|YxP#N*(#2W+sfSZ5+RL$;`<C-+^#JGak#`)Wl=qy5`yV++zYcTs
zW{h(BR*!Mw{l_^gO22a^KmOq4&iut$<@|^9G5#;-t_Kh6AI=r9$eY5BHS@74qx|e5
zIYGAFREXWNS(qIR6k#{!iL%wt#aP8jadzu$Nj83s6npoyH2XYHhJD!~%QgthvuS1u
z>`wQo?9?PhwvfxiZ^*06CN5NAKX|CJ>Q}g$0I#OAAU%UsU8cdl4VcM>S81|xKWDM0
z7HYE%hi0=QMLO*Gs4n|*o*o-_U@mJ^tk33rGhlz18nPN(O$p6fuI_~30=8h~LU!Rr
z6ZU+MDOa-y*v13MX53-eRYEMwm2+p6t}J3rM;EhNWX|?QTCkq4E!nzxR_r@}YxZTE
z4I87goSo`p%kF4h!JgDv#cuLl&GNL{v3uvOVbem_vI%b;*mdlB_C>-5cG`DGu1?S<
zcA(IS-6Oe~E!n$;z0<Ol^*7kY3Pf*bt-iXlmh0TuzvVkwFSXrlMu0ne_PqyduzC+0
zc55%2%q3Xc8FGMq_vIj~>g2@=akYoCjkx+mDaY8qqTcMS<0n}4p_44E_hI?(pJo@S
z__1xz{n(nb{_GU105<7g02^Kr$UgB3V%-h6I#D0au*sRh>_V3icBX15>-s8`{Sh0+
zzP1l%r%6SyS<Mk_Q21H4)P}30C3KDzzkiN3IupfaTSl{c_+!|B`WSX7=scUe^a7hE
z7|V`7h-G8LF0z5Pacqr5JZt+jp4GgNz}l?mYMm)vVvqG)V*Rfqu`k_{*<*83Sl7`M
zHnHR~t9&Ar9bA;g{t~#tIyPTnc`l@LbtN;{IU1R4{`*Y!Xi*j$dOVx$Tb#rCi(F-Q
zw_auAl5$y5w`**@K^|K_k;jVO%V#e}UT57L3s`T>LbmmDA-n%}5xYA02J5w^nC+Z?
zlMVWGlRa2o!ls=mWo6dhV(Vv=vE`r3*pbR|)-|GnRo--)mC?P!E}OW+);y?WkHuH9
zdw1Ps(@m?{slqkvqgORtO`clz!-+a}{fc`m&-8kBXtbUct7~BQ#NKB`c0FL<!bA3l
z_#@W3_YwR2W+Qtkq=`*-YGz-}YhhRMKW6{Fdd$AR{)80|e9F2zK4bssx3VpK&)K$)
z=d4^&8yg<{f`!d5S@i|&EJy4W8~yebt8%-8?T+bW+uXa@Ddyd*n{p5P_iGQ^-1M4#
zlKF-eI^D~9ZRlg=jJVpUqW$dXKtDUDdVoz#9OO1gzGJ0U53y6{yk}Pnd|+?)eqc9L
zeq^;1KC#+|huIBwBW%Uo&#bM;C@cAHl;yqmg`Jf)#vb$e%KqFm&R#S7#)eP*&L)2Q
z&bGJy$6DO@!S+N=uvz<lvX@r=Vyou<W+lY`u;HKnunU?dS<$?|ta!vfHf13XHD>XU
z#8h6|8O%#<|M8OJt|>IuK7~?k_-K0tAK@H+nw`W?y5a(~*hhdoKMPRaRzdprRFHO?
z3(??BAv&rhOe*oh)Fv!KX<UtEzhM#b+9FCPo{Cbexfs=!h|!eU;<P?doGQg6Xdzb%
zy7miK|JhZNq+d$Xa~mnjy(2|22GSI9MVjK}WvDbnh6aDhkoG=V^6rzR9tSyE`%sQL
z8F@NXC{HSy3iKjQfzm{$(y7x^Y4_Ku<i^$J_Ucrmm{rrLx^5axnkdnVJSECgS0<%c
zWr`P8AuS&jx;Lgm2X?BGewQl!T&+fJ^=fn%rc+tLbgI@=r<V!p^haU_8F97G4^PaX
z`+GG=yI+H19cPlv<C&Cfp-BrXG^yKQ7R6-FqP1L|cFkxl;uX}U;gi}lFs4l(cg?2B
zp4nWTXB}GJs6#=Eb*br=E~)F!A>WKS|EEE}Gn%VKFF2P@`^+V^Z*%FPhd%lC>65vm
z0m(cupy8$SsI_t))z3Gix@(5iq+vw82}Z;tZA^M0#<cCPF{K}wPoIb9)6yLaD5q-y
z$*)~V5seE;!rX)sD@@4H$dsO4HKkKC%*Z&wjJ|TAWMv3Y^gkf(7EE#&MOwOxp~Y_)
zvfRKS`zIXQZOu|>HA^>4iTVqP)O8k-YuX|znzon(V-}N}$P#MtUqbA!C3NeMIhlSk
zry5raTGMSo!w!~ouEmnftd`QpyGtq4)QWZ%S&^ZxHSwlfQ>U^G-M(N$>Eg>M=FBn*
z{kx2Uk1eN&FUu+3-IlJswWWHe6*Snkf+SY0Brd@N9ay}I@+(%+XXDjmn!lQYwd|<t
zvK^UBv!{d@d*TsWL;Hf((A&v1<a}%`b$wY&E*=i_so#N4ZeB++?dvGtZauARTu<W`
z8|ZS?23lq6Nc=Y(sd~;v^3B{xmeV(pM8YQOl5wJf2qy{_aHj3P&Sde^nRL81lg!9w
z`nPinjrDG!p-o$<uWc*6S>-}~4_#=;d>f5bZlixD+ezlecGA{!rA1k;<fOiXPA2Z4
z%W`hi5a~vvLOV${U?;8kvy=Re?xM0UyJ*Z~H|Y=VrafETsi4E1#@BKis2_XK85>V(
zt@9)eb`N=#?V$%odr2*SFCEq1N6*ssk%7v7ioCd=K1&@S`|tyFi~k_0`5vS*KM&HV
z*CBHHe25<I_9D}MFUr|`n3P@}rn75~5KqeyI%<8CMrx0e8|N6kzIBWojgHgvyyLW5
z+nbuxylJ`033_<(1X)X;qzB<A$y(qPJ@h?A%YL1rro%q8a@2>OxS!_gji06$TYSl}
z!<R;M{m5XKAMMZdqoO`P8k_D<#?JoamFQ0;Fa7DeTmYHa2hh=T0d%V=fc_H>BonJZ
zIuaO2B{hLGJ{d?xOc3oq9z^-2LG<Bk5NR2np>2E5Q1Z1i)IM~EWVC{5`SxH6Obw<x
z-NE!#DTH)3gwU4Q5W4UzgdRwS(l6Uknj02MTkeNa6kixsFAk&6K4GMKCybU&gwc_O
z;gohLoEi(m>FaPfDb0zXMY|$sM`i?t_C-+M^t06Lbe4t_&XU;6v!p8*NlWb_$t5z9
zyc;7aM(7+}wLC{v{^#h~-E-9c`y72Uiz2?GQ6zISiqyVD(QN%_GW3Wh)0}AH3`Emn
zjTkcD!W~I5wD?sFu?pwOY|VKxiaJj^&F4u?<N`@sT_E1T3p7@Jf!_SNKur)!rAK2a
z<z_4eeu<@>`WMOC<05J2TqM4Mi}ZR%9F=X3qjQ(yXnT7cEs&2Ve*1W8jf|(1#(3H(
zltB8H2{h)HKsT!r$m>@E8JZ^2C$B`xC`zP_BZ(wF=Mq)zyhNTEmq@Yq64j_C(XNe2
zBo>!M`K?K0E0s(`w#nodnoNof$&|;NLL5q=#uF*DzAS~_jHi&B;bnTi=Q8ciy-b6H
zmuc(FRBGRnN-L65>27-}>C2~4qFowIiA<y2kJ6|~;0o!PU!joGSE%>)6*Bp8g~H~i
zQ^)>v(#}t(1Mk!6)~pQr>5@T^l0ip1GN@1?lLqZGY1+9=vT4ku!-83qVxC2Hr?Y6_
zb{6sd$fD`<v&m$CHZ9M~Ca0ln+O3&GhqmU>@uVC&*`7lu<gU`u)mLd>#8uk<;3}=<
z%caGOa!L1OE=iT;(%9ErdSY;mu6bM||Lkkz@b(&MPS2y!jd@gdF^^6@%Ogf2pMKcn
zQ(;g(xz^;9{GWWPHN8$AUe`&g@H!QJyiO~%3+Uap0y>#eK;j(*lqg?FGwli~C!&ya
z9u!jMlp<24B8v7dA|CFB);(W}s7>z%neDnk@##0{YtIc@rc_MH4#o5_s+blu71Ig9
zn^d{vCjC5hlZ?x6(ysBF6mL*M_uNb9V`d3S^p?<El~S@=UrNp~rL?!XluiiUq5$(-
z6zp@0&XnIGzwuji)S!%ZyO+_r%rc@kWi(T{oOsujQ+HH36*rbspg;xLEv}$xCo8C{
zw1O^usUQcv+a$8{Hr-CUO*^}8bFso5Dzv*pD<kgEyM{Y-f~S&1m`b{Eq>`o;RZ`-|
zN>b3OqO)78=x<^bdA3#2bIH48vg|I!2HvHSs=Ksg;x0uSS5xPnYEsXsrmcO|bV;R#
zp02AQ-sl?AZ>%8){#rUpwRGWlE#(#0(%s=&YSyl!HkUeTzf?yr+Un@B<UOjhxkp6-
z_b9RQ9{K!tkDLwb$;6|cL^JEDqo<xS6dP!leFJGnG*EAS16};vK$d3r>GQ$+bRq9P
z84up4=IIZ}#qj}+#ylYJrUx|1|B$#IkG>y!NbWZtQv1h;w0PDd%Gmsfc;g?@#;1=c
zU!;+Knm5vtQ;if@+DJ8@8|laFCeq#3MC&d!(W&Q6lp@|t<x89C@#$uIUDizRzch3G
zWD5;%Z=u1Y7V2ngp$8I=snF^%o%elA`^z7b)!1X2Hs=WqY=1)6lAe%9+Y{1~cuJj1
zpHkTAr(|6AlwOQJB`=+4B)07takbz{xAhqninh``i&n}#*-Fz(S}Ah4mHwOcoHlNL
zPPZ;TCyB?;X^UVR<x(4cKH5h5g>AHRsErcUU(o#xFK8s{1xY@9LApFIiOgQo$^$QH
z{neMWv6pM7wbM$wcB0UB(yeJH$%%FvnfHqB?|Mavsjp~f`zvmFs)I(XIw<FK2RYs9
zAd$}<bVI9?)^6^k(b!H3YVIUC{w_*px=7uNYp->Y?AtC1Q0k^(yKb@z?WXJ1-NgT+
zo7NfhP?}p04J7x_%(fodB=(xln!lzp@7L5_^qPJTy(T&JH>9=x4H-qgA(Q$ywD9*E
zGBEC?8ScF#p4LlaFMH{!L?7i^_R-0cePmtSM-m_Us9F6jomu~uOe5b?|Gl>q`s*#t
zHtMJ9UHxQ#xu1I4`f0n^0QD^yppC}|sHtFpOa=!iNoA0J+7HtI7&^<iDz+{TV<&cZ
z5-M1Tpm-ii8VM=s?l_z-ySux)^V)fB>~4Lp-JRI)`tbZ_X79CE{P&&{Gjkwp%oD}3
zgHIH1K0i@(?f6ttnDSJya`scjwR2Auf6F~nwCVLsf%2Ima@8|M#@%O%!aC0tO26ld
z{6WtZDchebLSH^txU_nqXdLxI@p=3UMakh8ikaVDDB>MnDw?IeR9u_$QZeTIONCSU
zSBl%NuN20jSBlyzUn!Q|ex-1z^;)sD?`wsl`L$x@me-2<PhTqrHGQLa5c)>ZXVe?T
zw0&<B_us!!*x9^Q<ix#IET8gLasBvPMY*4E74}`;Df}|tDU#>CQxso#r?8ZNuNdO`
zUNNxny+XbGy&~=Adqt4-2Zf{O2SpYA2gSYh9~A5Ee^3<H|ETC1@KNz{&_~6Be?BUF
zpMO-mYW7JnChU`<<)}}J&3iv7T;6?B>}~s5(Ie)wV(o;_iUx;2D=c3=EAHBVQS?as
zq8L5xi{kQ$FNy{~zbN{5{;C+8_EoWa_E*LIGhY>DtiCClI(<_(W`9%kTJTNbe({@v
z@}-KNE~N^){8B}oC8dflS4tI^Dt%Y1>iu1zDf+JHz5Ki4=k@Q3?Nxs$G8I1*wN*b9
zJ68Tsgx~t1cwYUdLht@l@mKv*F=X{m#gE%R6$LeZDQ<cEQYf^)6bsh;Qhd7eOW{@X
zx2&n(igViEib`vLD|+4it;nqTM={>>k7BL%kK*4oe-sz*{88Mh@mF!j<FDen=C9)P
z>c5IzxBn{6SG1x}D=XHzT2Z^d6}o&YZj7|TX|WZPc3biIk`+B)Suv`787?<3LzA9m
zND3{(lAJQ!8&-yf3(63@qYOjNmtpg>GTgB$OSvXxvF%<Kzo4>YWRzv_pt8)IU6wUl
z%ChTJS&lp`%jutGIbW|F7aYoQ)~6iDlghErP>zjL%ducxIYu8XN8#OagnubVw;JWC
zX<MG>l;=Q9c_tT^Ct+N9?3S13-M;c{yILOAoANkTtiZDt6<E--0>Pmb_?caSl|w5K
zG_L~hwpC!#nF@4xT!ACMDiBq_BF`KuqVcK7pTvrc&{w45l!}a8QxU7f717_S$g2+(
ziK|+Pk~Wp-+Pf07`d6YfuM$xsDzRljB`WQxMC`drtbJ06FTX1xU)mYwSec_fm9a{y
zOfP+9l#?s7Y;|QW9jeT)8<lDMzB0a*tB}>I3d3EhupqPwTeGWhbVwC0&8fnjEme3}
zQiUh?tMItA3ioSO<)&R#&bn8X+N-ioS(WKys$yJHmAKtialKfTde5u!>TgvJHmt^^
z&ee$Ztwx)qYCO|bW6h*$WUQ)2%Y)UpcC8v?-c+M!h3Y(PR-JK9)o~1}&iS<J<e95e
zetLE0uB%SRBh}e+t2$mEs&l%sHNmZ{Ios13zYuHw&9ug8kTol3T2p7EHRfa1Jh)?x
z*C%V1R;|IW)-~wwT7y-gHTarU1JA)V7&og1=Qq}%=J6T?-L1jMPc_(AwI**`*QBXy
zO?*OYQjk@XDT8XVWoAvzZm7xQqc!<{yCzjX)}&#TTC{Fe3)`Nxu<ut3yNp`2wbY`?
z^jg$dSBpRY*5c)jT3mTsi`^A!Gq+i7^xbO{7El}8l-m5z*XGou+RRv4oA~{;X?3MG
z_g~azp;aBC8rGqjV;v57*C8*i4)s-a*gvKYNsH_7XGb08ovlN+M|C*yU2JRB<&jNY
z^83`~L;t#{b7ecEE_t)-@^E8aB9GPO*zLM>`B0ZRmFn@Uc|8)G>ajPV9(7adk)yB2
zzKQjyvZ5Xld+Ra(Vm<!%v>q*f*CV!WeWuyh=OpzhjjT`m{Q86ptB-b0eP(Z}&(34@
zxpcce&)?VQSH%WYZ{C1L-5b!_zX3K$4Y1WVp#As;v|QSN`nwuX`CJ3OJ#4_k(gvKa
z(U48;8X~`TB`>rg-kA+)Y-z}=sSVk)x*@|4G$i0kL#$sk<m{h@jH%ZM_YRHtOe0oC
zHX=N)5kH4CV(F|#cx`CJ!^4djc%u>Z-ZWxO*~YjuYRoZ*#sqsc=5kD9`WH6l((uLv
z&TY)$O^tCn)|lnD8dKw4V|3-4aJz96dUbBXZ0{z#AJ7D!q9)84(S)aSo6vQ06AZ_i
zu<uqAe!gu&&+<(vYTT3+j!n7d)s(UWn$oGTDdEGLiZ)G|v9T$ek2K}vji%gr-IP~l
zno-)I8D%;(qmoB6szk{)uNh^BG~@e>X1re8jJpS$QF5gjTb?&#=I>_c>NF?9wmFV&
z%_$$&oEsU<S!HTY@#N;Xu4vBh-OV|8t~ut1&2jqHoR`&Fu%J~70(-RJtA7g?Cbqys
z-GT?BTQF!r3mR^1!G_~4P~2|8*|#l-D%X;G4O^1jsU`Q_TM{4HlB+o_@gLNZz0+D^
zx4I?M_O+z+LQCQvOIvA68d$fYuyrer^k_xhfL0_Ywql*C74Jv2qWk<-s5ZA^<Iz?;
zxzUQouUipd)f#=h)-17W%?Y>GJP&P6rHt0JF}9}H#Mbm%+8X&=QRJO!jpkl!Odncf
zsn7;f<2Gm=+K}(jhUCaLgyyuN&%id=Ol?E;m2G&tyA5a0wqf=CHVpdQhVaU5Y16DN
z?>e_-w^v&RMz@8$w)`F>$J5$Uw5ly__qOHAxwZ^>&=&hIZMjgn9mUPsQL{@s)_JwV
zBf1^ea@&zHs2v}tw!^%#9cA{kWBA#2l)c}MfuGv(xng^=o3!VqLwovqv}aR9d+KGk
zM`v!&wMp&ivaCI0cC_biNqZdbw#W3YJ;%!0P_=;#!S*&xaI>K##0IN08+zz$$Q*0K
zj0H9v+-$>>BQ{jNZiC$m8@zwnkWkYWRU2DI^sr@`pDhdHY*|rg%bKCW3|m&Nwq?;?
zTV|ZIWz>CJw4ZEAu4so}V>>!^vcnoXUWVCmEZvTIdOHfn+2OX(j>=o?xOl{lnb+)y
zdTvL(pLU$Lwr6B3dtAEP^SrM;Gh*!NlV{JPfzm$3o_5RaIkdx`=n{Kg-L}W_#-1ux
z9hhFH1C85vkoUF@Gz;j!ocIpZF6zLjp&cll-hs?j9k{f+11@L8=3WPWzw1D3*^X?l
z*O98W9Z7KQ$cDg<lqPh<L)np0!#Ywjqazhp%kiF$7|uxly^h>_C-!AK;Z&~^u{NC;
z=+cP=0iD<#--%0wop?H=6Q$ESQE_D_YVYbq<5Qhzey0;H-gKhr-%ix8?LhUm4*Yd;
z;GK^HcVZkkmg~SeivtrTIgq!+0pD#7v^?g(=W7lef9AmS?+zqZbEJK9M_xEOvew;^
z%y36qr8{z6>&V#Aj=0Ws<jFcmChd2`>AbZ6=ZN-$BelwPW=*}$^s(v8`JSDL_wUTJ
z*v=H@cjn{3&ZsAM=KYe+<ZkQCgQJ~^xYn6tPdn4Kv@`Rnbit}=7t%U);Ygn@v<T^f
zKDi5Li)DX!7Yb%{VfRY0+0})<C0!VGs|&|ocH!^OE;w6vCAURa=6CK&iF;Q*hIOTJ
zT36gOU5Ovr72~X~OkdrVwY$5r|5R7b-tNlHS6zAVt1Hi}yYZq$H=cLy#$)$x+zac*
z<<xE*Q+MN^5#3lcvm2vUbt7+AH-byL(eYL{D!%N-|9(h+weE~))}3&N?lf0)=W)O8
ztV!xlj<P$pL%Z`}YIo)=>rT)=-T8gAJL|4?C*nzWetzlB;)+ht(22XYPUu{mu=aOi
z$p9z1<T`P{<b>~dC(h4zB5Z>bm-ai+@0=4Q_nc6?bz<uuCtBC+!K9Ww_|~}x3GO}k
zH?#+>QhG43xChsV_Mp?W9t>XAgA3bw(ClarGOqMs{i7bd{nP`;^3LSdb7n<5XKp(=
zW8K%8K9SDkW;iol>&%{!&fJ~p%&(QsG~Ve<_Y=<eUw0<{sWbUsoiSGI$?yg}8Eey%
z3C@C#>_<skW=~AIo)nDgNy4n21gz?b)6SkWJ<*fD*LrgQNly-Z>B;O0E)>>x!Lz*!
zb$ht*z}tll5iY3HUFfNCp>((lJEyx)yxax*e_Z(A5f>(3cA?Kh7oLA`VM-ZSdenC1
zMk`lzU0kW-?#j9lS4eV|^TL&6c_j4pL|3#6UHQ4el|lPm`E$k<^Bq?{zjP({hb#B0
z^dh)%FZSB?qMb`G#{2f-o&4lGG_x0*w7sY@vKPrSda-?ZFDm@gi~dJ?vFK7Sp5E_8
z$M?M`_}hyOHG1>Bd2d=f^d{P^H{$|(vp2Rk&vJTG%h(&|F})cuyEn#Fy_vP6H(QSN
z=H!*$+<DlW*B^TG!^({cwcN07DgWlt(T#e2+^8GmM$I@kD(AZK$Kb|?(QZ7L<;HpW
zmy^4<yRrDF8^bTVk^aC9&-ZRL|LevV>pq-r)`tZh`;gbG4?X?+U=`Dc6PbM&tL=mT
zh(1)D-iLpe_Cdd;4;>Hn;qJLUjJw;19<Tav?|UDHRaVfhp@O6B6(l(+DD_k@DNI4@
zWCdFb6(|NOD3ME=A@dYmS)(9gmx9a36$D>ZaQvbCnEHc)4Sy9htpTH(!TSynEmN}3
z7n((ZDIKn<z+os1n+#VMLfZ{cv=?@lz@O{j@dSo`f<tB8`BBrIZY|u&>g3McUhb6m
zx$`;7o#q+tc&XjV9O}-f$?hy)=+43Q?p)vF&a0E|{J!Q+^~dfs`shw;D-UdIc+jDl
z2OT?jVDI8VJ0B04MR-s<)q`?M4|!ek;D6&iD4FZQ=G7id-{FDgs0ZPfJaG8Wg9>jv
zxc$R}jg>ta*uay3cAnJh=E)sASsd(1N}MOHay+@K^JL}-PXecT@@KIpn>Kn9zt59O
zr##tw-IIvNo_zfvHh(?oX6?n<CSIi3dGW1>7h}A<Xc*?j@<cB><$JNs=tYmwUhJIV
zh0`)GHgERA_J9`)PJ2=FrWb>sc=7t97g1K;9I*DLO;c}1*m?7)hc|e6GbhxWcM0Bj
z<#{v1;LXF4-Z)P8M!!VtH+o~W&l~p=Zw6iSX3s-!KD_hB=C?Nks`h1U!@lfn*O&WU
z`%;;{I0W@2WI$gEGy5`L-ItX^`m%pwUoOt;%fr=u`LMk&zYq7N;)T9g-|b877k#Po
zRkr1Pu&(7p#pXWzviIS=vkwove7F$m!`=iRmgo8~R_{ap2p@u{`p|Ka*sk~Czg<4;
zIOfBcOFqQ>&j*`VK79D*!=CcK46f~qXA57-cJ$@np1zp9ed!+N%ZmhG7UcR8r1#~=
za9>tV@g;bnFQ3->GHa(V&PRQ@dcl{XyS`L<;mg7=zH}+;$G<iF=-1SbTeg0rIQj9+
z-H+U0KVA;-BRkWNM=C$!2K#YoydU0k{Mf$2k2YKVn0UaCuc!QozwXDOhkmqr=f|L*
z;-`{7-Rk)>rj<W;JNe__>W{gvKPSWdsg>wYbgn=1b<#J?pQe-Lc)mYVSNl`)k3YW-
z`Qv!jpM;zKjC<_Q_V@nW`Q?vQl>pk*55Ti^07(u37+nLH+BbkzVFBz(2;fvs05`M&
zJRBOp%ZUNJpBuoZl>vO-8o<W`0lYmGz_V)s{O>^km)`_%^m_o?Dg?5qb|7P#2U27o
zNJNi7oIL_*5FE&-m_W{_2eL{Th{X~}$e2J{&Ishq;y`w<4`k@BKzxq|Qtd*ZypIMl
z{;3>)45Z8->8}z*LH!_FwhrP#rywjYLD+iBen=47xF8y31+hmJMD(B_K8+1x!ptDr
zE)8PWh9LZR2XXUg5E&POcy~Jp{nH?ReF$Rk?;!qG4rXAzV7|8uM%6Kx7tX;Xcm{JJ
zI2gr%VAiJxQ(q}I=3pL<3a0P0U{)>+rrg?KlC}r4`%o}7&jgcpJ(wL2f+_zdn6T1d
z=9lZoqZ<9NZ_<za_Wjt{r5~?)_run=AIahUn4Qp%v)TRlqwa^};C{r7>&K{>{n)&u
zAJ^9R<NMBjG&#~w9{TM^<jsB*J?h8kxBXb~U2MvSaHwVo=bD6Yt9=L$yM*wfcL;BN
zLU<o0#E0-ED}?8&5FQK+;l`K{&P)$s|Dq7quMJ_&_7H|03L*D&2%*<P=zc$hdapwG
z^d*D~R-vq|7RrzYp+vS0#jaB*rOu(8@CapEP$+THp|nX2<ypSi=|jmG7K-h}P#(?>
zW&W~I!Z(Iead#-YkA#waE|mH=L;3fi*u4p*W@#w@lno=&I*iW^!<gD8j7|<=9P1fI
ztY;W+gTfdR9Y)R6Fc##8VXF^g^UyGQObBDotT1{lmF@a4oOgz?_1`e;&xEn~S{QZj
zhcV)17@t0ek^DD|GgZRrUN4-vEyDS27fw?5a1Qnfr>S2!y6|w$$A{A{D;z^{IH%3w
zG#(XB=9F-@&I{+qig4UFhcjYNI46#VQ}KK_UN^%T^e~)Vufuu!HJmnO`V&#DKO^e*
zXIsnu+_UdbMW_BaDEbrb*B@<oe`dz_=by~}Tu}Dsg{ePQBl}Z-a)0dR_Q!R3fBZIz
zk6ryqJlvnmGyTcG)*t16{V9GS+fV%|_}!oEN)e>gjv%^e1cB`%=+iku&ie?OdPPt%
zI6^*CL~uPhf_=FWEYd{C^|uHT#zf#cErPlWB6zhjg2S65n7Jo{%%c(XI2S?L8xfql
zAHl4bV*5FQ)_)>+R4J0>wIfMs8cFl^k=$^MWRgoHUY?PB4UA-UWF%2Zk(A4cWRptv
zEs^{h8Of5#k$BFH<l(YNhHQwW+0ICI9*QLRl(b!rM0+=qicce%`7V++-y_*rHVWtJ
zQ5>irg-6RMj@m`x)h&v{y`$*UH;P^TqUanG#mbZ@8s|kZP7}rVfl*|Rj^fgkD0<C{
zV(IcIDsGG-XJ-_r4@F^rDvD8;qvYCD6s}LAnEW=1N8h68Q6`#^Rin95H=35sqsg&}
zW^3nYzPUux+cTPhfzcd@h~{TPG(EGTDON_a#uzQvI-{vIAsUaF(I^*1vv74ZC0nBT
zuqT>EN2BR;Hk#yX(G2}xG)ta|kN45s{4V`vW2js`hUWES=+Ytv58D_*yTr)%u^6&F
zV<--c!4MI{z=RlvWX3SGNVWz!9xCnQq<^~DEfD*aGH#QM-z9$j6@RD1@8uXi+>YVq
zqZkgnj$z3c8UH7S<VpkRQ)>W?8V}$@>j9K>7{J2r15mmRz@zT~YV{kyy{G~5y<q^w
z*#mGX9>8zo0R9~|fT80D;66i+7YvZ^KGMHw0Cu~?{?GuXlnlW0(f~f*8o-i=0|<IG
zfUlnhu;|wSyeq`=+&Y$V4PxogGL{nCSkk-1^2a5XSst-;3W(+3@L2lC#qu~U7Il6s
zR@zv`4~(VWs95Gtilx=;Se7r2rQI6YZjs|Xu`D<oOM}y~Ou8IP`8%-~9>wzVRV=Ze
zCC0B<oGQez$U2Tn4dN(l5yusqIGj7jF}r6RUx}l?UmTl4rGG#iNhxvc$cdwhDvmf)
z9P5Y0@qJtzeW%AUd43!>m&eg^LmcVb<5;~vj_1eXustWo*Wy@mFOJ(!;;8dB4!^H)
zSpJCLit+rfMm*LH<LT8ho($V~x&9i@j-K({CZ0dO@w5t!$2}&V#N>EP+40O!#<S57
z&#@u#+!_<l>nZX4o)b^?rSUXb8;{M_c)IL~$K`N5ic|4;U5dx&Ry@8BWcxynKS=v`
z=`WK&mnsR^)J~vD;{>X=PLS8M1YUPZ;Fe1Q$J`Ux<d?v#&;%?o2_z>c;F+C3TV(=e
z4GH`=I05-zzD%E-AlEMwkpHhh{nZIP+myiWoe7LSm_Wpd1X`X?;Q6%#w%kiV_auQ{
zZxZ<RIe`Pe#BcdTT&pMYxo#qxnkJIjHj!o>6S>$ek>R}(aq>*$k$)mn!V+;CkjT^I
zL?&fRyE2hm`a~>)6KOs=k^PeriJg_m*M(xcG7<ZYiTt}gk;wgtJU^O<=}aP3uOu?(
zb|UQ`CbH#)#Qh*PrHS}hC2_h^5<xYSIM+b7Es{9ZJ_&D!Bn~<y;p~>g2CpPq2PQEi
zJc$aiNoZ4&c$A$)h%$*i`Xt&6PGan+B;HO;B79~N+ZQBJZ$%R7^+{aZmPE(BNsK(4
z#J!Rvx?fCU%#9@O{4a@4Pm|>OjKu$(M1x;Rq?Ai$UDaeh)J~>n<7CXOk~v_T%pb>O
z`Zy<J>XXb)?_}NwCS%t>nWWfcW~3x@GCP^?MakIfljU<tG9yMNvw1=?x27jkW_~iZ
z%aRFNn@rJ`WTxy&X3N23&L2<a<=JE^Tur9Mon)LJip`5;lHVtz{w6;Di0=w1EUTWv
zrn)KYX_CT`)+wB_OW{K26s|a@aJ^3oH@syVn8MZY6fO=(;Y@N0$Ffq`SD3<9Z3-(b
zDa;w3!q{;s7^bF>IVXki#VPbzm4eO26s)(W@M*93Ih?}Yk`(4&NWpwPg#q_c=<zs(
zTCY-g@gar7r76t*n?ioYRIpB^R=rg2H%Vnv>r~8ksrYo3Hs@4sx}~z%E0y$sRBXdi
zc@dq;+Qd|{Gg9T6cq$K6smwQ~5-}u|YNJ#6cVa4<8L8OJPvyqaR7R~y#c8wn-jT}q
z{jz^FmAj`>8Fo?p-ALv1y;Slar&9e@D(gO^;#-=^!#}BVEi{dK)zesCCk^+;X<TiY
zMy5>~-#Vo+s=M^{N@Iz88XbMp*dCmQTSOX1V$<+VN#k@@8bO6=oYkZeXilSKXd2#Q
z(l|INjh-{p*fc+lcFWS3vnGvdo71rDNaOXsG-8jWak3<hZWq#6a4n7Uchkswn8wBD
zX*j)0W7Zdm|1*u~vgz!ooKBsZ>GD}Oos&(|Y1t+non1O-9A&>pI>o)yIpUE{ZNGGq
z`lZXYjdZ@nrsI*4&e*JUE*7LyUz5%N`BFT8NIG{%rPFkx98XVY*4%V1El#J}s&u)&
zpN?r;I-7T=^XOnY4UVVddnO(IrF2%_Naymsbbdcd$M$79A@3!JujwrKmCnCqGk8=v
zgYq>qXjeZ2ucjF!x6Z&~o53uH3^sSq;Dl=icgf&GU$G0yph0*BHZd9WNEG|@3_@}<
zh*f5grpqADl7VVi2Kq4>m?vd0a7G4$<_Sy0=c){h8#2&r%b;*~23ZF)NIaH7#OVzD
zFJ|C&Jp;$P8MJtqf%WqYe!j`z*{2LHf6rk5-wak%$YgxAOq8`ViD;Nf&*qslYMV)^
zU8a1-$z;1zCR2K4lIxy{mro{5gEILLmdT0eOy(tIlAo4IpPWpri!!;R$z+Ww6U~rJ
z6r(b!G$E4<Q#0j$XC|==Gik9rllyBjS-L5cl<k?c+?&bWLz&Dzo=Mo5OsZbW<nZ-O
z^mjAq^iXV{WisuJ#Ql`Xr&1aBCzF2Vv-nXZixoAq2(F*SmnK=vZ<U3+O%{(kW-+R3
zmfRc5;-p&^8J<~`^~+*Wa2788v$zzKMNVQCR_R&H%*n#OD2x3X@ng#3-ry|qM`p=;
zV3u5a&Z5?=EauJ6qRrAQ)~?E;^M)+`*_ws(t}J%%&%*VHY){JZIcdL~h2zaE*4)dY
z^`k82KF^}&+bl+W%A&M1i@ZNs+%1<)P?c=<)yT%KUN$otXY;p3HaYFGxn!S>OXqAB
zIb~C>S2mesQ{tVCeLyy2L$Y}mk&Sn3HcOJS`I(+gL~b@4io{l%Eo(TNjf1o0vvW4#
z<FZ*kIh&6&vT>i6&BVpo+**-M+jZIGZ_Z}>b{W4%`VM6?;#f8(Pi0f(LN@+avl(+M
zn-l*NpO3TQMK;E_*=+li&CAkk`TUzL_ib_*S2;(ncjWM{P7bXa<q*<5hk<Q!SZABV
z^-ejI>6Sx>o;ifO<zV#4VX;pRM+0+s8k$4ps2uF$a_~>iAuA(?5xF@mDav7=CWmXr
z9NrAdq5Oy(nvBh%^Q0WSrsohfM{F17pkJ25sMR^l*pS20tvPJinZwR~IUM>ohm*&1
zIDa}vt}o<p^J)%vZsl<Ae>wc`k?=f+yKi#1^-*Gc%i-d$98Q<X<!HrR_EyVfORZd1
z*3V^blUydW%w<r!Tng=TNpQ?1uzM~pF1fVplS@s{T)z9{@*psmlF(c>MdmU+HWz(T
zF0tvk^v=npX<;ruRJq*L=d#0+%haK{<d4dw@AzDrPs!!;j9gC7&1LbTT-3{R@mZ5g
z!;QH-+nUSHow<zImrK~cVtYK7=cjVnc0L!=m0Ub-=2GciE@vO)GUaJ5{a@u$|9vjk
zKj$*@yBz<?mFxa_oUN3{=<0cR)Xw8a{XDic$s?y_9xdACaoH}9kq&wE?3TxK=RD^0
z&coL|k1yVNEc4H!U%xy`!}C}goriyX9`BR$n3a)7@7z58E6ih<I*)dSJdRuPNFSO<
z*-?2c9w+^i^SC}e59ORZsw|Z8OY?A9mB;yYd8BR5<J&)ZjNP3_lLL9IJDi8>i9Al8
z&LiSN9`~>0k#|#axSPkI2YK=xD36IR^QikSkJ+DOOlh9HmgdpCOg;-M<kPHbKJ#ki
z)39zn(;MbfqglRO=gFr``+SV{`Mh_?C$n2VcbxMH>7CDE^6BQC&oaM!Y6s^tI4qyn
zk@>{L=5sVLABVJjW@Y8`Coi82Wj<##`E)VnGh<*r--hNhU{pSP$K}&xviP5#&yCsn
zI4#I$%94Cut;nbE+I$vm%;(G2d;)jovt(~RpAY8CwV8b8p3LXvnS6R(%xCOX8GAFI
zcK7m8KFDX^lYA<?%%|U5iT^R5dtdWu`!k>Hzxiw^SHQbU1$3=mfT~sj+v*kYp-};y
zn-`GZx_~w93wUH-Ky$|eqPi6@$+>{zy$X;gVd&yjK)P=MvjYn_6;i;D{snZ1DPTZ+
z0i%-(*q&a%{p<p&6%^2;xPU}$0i%osY#dm?m7xWcjx3<rxB{3|K+3cNhRrHq*}MV{
zFDl@_Wd;0NRY0Tl1$5tBK=3~WWbG<o$i4#R94cV*QOV<E0k_W-@b*FhWv&)b_htd@
z?iS#5zW}et1%y49n6C@SeP4j~a{+@(3mEgOfGJjm%r0NZ!pep6`K*vtwF+5VuaNbP
z3fa)Ckd3W`cCv3*$huC2tnO0Ca;HKTxfC+Tt&pkig^cwsWQboOx}ZY2r(Z}?L?PiZ
zg?Pso(j&Q$_UVPx&n~2Vejy)=3i(f6$QgYhJI#eG87$+67g9XBkeKm>C?*%uc6uR|
zW*72uULofe6|#9*AyZZrqFh%<$fiOZwiQx!XCY7b6ms}LA@dIxqB&kj&?y;vu8<!W
z3%Pi;kd-$JG2WH-`-QZ4T*$j;g&cZS$fS3L#D6Np{#zkme-v`$PazY_77<;sh*njL
z<hx@Ln`;-LtzSg1#zp*TR>YB3MT~4$gs)u@l{*zt(z%Gy-HYhkvxu_2i#Vt#!sJ;*
z51%65`4_P!xQOJiA{s^(aW1BaVev&cCl~QDt%!wLMTF!PVO3Pb7F7{Rx+1JiMeH3|
zMApzE>W&nDV~WV0P(<x1MeLa_zGfFuaefgS78Mb;tcWiwi<q-k^4nM>&*>Cl-d;r0
z-Qr_k5iy6P|40#2PZZJVbP*@cNsLQHlwK`j%FQBd?-p_3zaqjP74h_G5yqEARDWB<
zq7OxM{!+xD(jxl(D&p?nB67<q`BqWM@Ty8`)KD^~wvyKMm8@-~q-!%JyIU$zv{iD{
zMu~3+C8r&f1b0<(!AVJ|i;|1Im4u+=oTrjNA0;LJO1y)W912z98lhxcw33c-O1bv0
zq)DohDH%#C<R~%bD|u6-Bw4NGvQCMYNy$G0m9!bEWa<bde@83HAFt%*B<Y)`WYbI~
zjpiyDx<JW`#S(kDlAWuRG+QTa8<jlSqQq~zl6AY3RNtqh;GpDmSV^bjO2(Bad45Jo
z-wR5XURLt!nv$qnO19ipQsusqlt)tMQ>p)@lJqx9_PkeO{aJGRCi(wRQvQ#U$TG#O
zEMLs$O2x?E#b!#4V(!&0#=d?rnnuMOY+6j^mc@j%DQ0f_V(!}&W80~ig3iTk>sHLy
z9>uu27GrS}TZ;MXSqwhK4EC4fpkjW7NPqugv{A)u9Z<~c_+o65i%Ci=W=>`?7jufK
zR8UMGWicvsF{^dO+%XnYV_-4vL!@nZG0R64b7gEXWhWNXb&8CgUd)79#q6G2%;N>c
z)LbGlmKT${s+jR>i}`0mF}F7tWA#rl?RORvu&0>9{l!c@Bz;GUxprLgE-9wL*<yNJ
zC??{v#JN_?<eSB;zf;V~{}uD_f#m+UnEKC)aeP&b&)Z@WK8Pltiy8N=n8iQD*Ke`4
zQgOSSiq{oY{H~&+hP8?owNyCNRnfbF3jf9`qME5lZK<N5jS5416~pXQjPIyohNFrF
zT~+eBq+)GP74n}d*xpCQZg&;?yi^?YQSq<8io-!Fj)Vx|vLC79P>hNLaVqvEs@R#L
zVq3b3jae#I=c-szpkl64#Z<M5F*+54jViPj6}f{|Bo0#%K2k;BF)DhFS7AR%MU$y2
zs?JdHeU^&nb5&elpyKFa6<d}`ZYx!cUZX;_UPb&S8MjsH+OCpkqg4FbqvGLy6(xrx
z_7RD9T;i0dh&iL8*LfAqE{PsjRNT9+V*f1_^Y5xK{wG>IRMGv3iki<=ynLzR_!||A
z--|AvRD^w%oW85D`laH=AMsm8&9L%nqAIEBP*u(E>S`|3RI{{>8dZHYo{iMhX{zQy
zb2Xb=sTtT-O@NJ>2KH(mc2u*`QH{Q<8V@HmReP$r?5bv-o0=5V*m|mY<E>_!uNqx|
znqI-;KSa%;a5Y0C#dnOFvT<sTB*<~H8q%acL(Sf7vCmV}tx(1*)vQ*FKb@K;M)7Y}
zGj5Q?8>;5paEU)kP3l<5XM&p3lO(^XYP!sj+-9knK39$R0yUo(sad{MP525mR;y*q
zS~am7)KuK8X6sfp@!Ms8m(;gMP0W6=IizOIVKpJg)O<OiX8tKP?q}6JKChO0Z)!ST
zRdepTnxb23YTXqd|5Fq8K+XF{Y9>Eb<M2Xqd8H=nt(tNl)GYoawSQG}wNy>vPc@bP
zNSl?0p5-*0ub?5LvWA~kHB7PA(7u+2J#{n$)z|P}Lk-1EG?Z(uVMa?0?b>MA-cEy;
ztwz3=Xh`a$;kBa%V^<9ooMgPSMxImDu(G#?&I*mJaSiTX8cO<V2=UW!EkHwDu!j2~
z5;I)GiwF(*(Hh<jkT~%gJ|$|<q-gk@CfiIo&eovH)9}7PLxEDmOO=L9t%iqs4GAU<
zH!K>$25UGyRB{@jVc#eX-NtHIJ6=P}Ng8HO(NJ}|hCwqme4H&Y=V`dPKtsS{v0bX6
z(+Uj>R%xidR)cxH_}{1@W{Za7+r-Zf4U2Zk_`Mpm`$da`8vGAy*mhKEJfUHDiH29F
zHH4p&IxlEwaar1~YIuHKw7aEY^BoO!{wH<Z*KqxzX#GUPoM#$JUucMatzqX|4fQ@q
zeV;U3_#(NKY8dlF!=qms6o19GjFyk(v;<bvvZAt<UsbjAx7M<*rWUI@TB7P{S>HhR
z8*7PZs%3R^Ek9an32LKdQ9CW~Y_z!BYnjqf%Y6qeox5lm*iFkBCoPS7YRPcbvbDFC
z-+i?Bxoes3spX!x78_qJMgCfL1#0;ltd(a@wM-1xawS4b<7h331GFrQ)ABSyi+!?|
z{8TNQ(zU$L)Y3IaEAypgTY=<WB*!Z8rO~ocr{$$Vi>+Bp+CVLf2Wz=KR7?F4T0%x?
z89PSHk#SmnPSDbQvX<PbT9!`Na$}|z>p5CH=V{R|ka`zs`EQAqI?J{6T`6s=wX9t$
zzSe80wn<CxEi!hSmbu%toZPA9%Wf@g_DPHbTFi$;qr+M*AC;PqOD-i^!cJ>3oz=4Z
zyy$XK%csj)nq1T3aYIYiEiDu7h(`CcT>DSU_Xk><J=VfgEh*2n41X!}@><LBw_2XO
z*HYn=mUdsXczu)p?^*``)Ux2WmOX!Ed>I`d%IT<HQHO119UfJ6#8ua!si9+HEgdWC
z=r~YM$JGWpUNzEDrm2pG&2@BYDYmV3M7GtD(_Sanh;&T0*Riytj(;3<9P6y(T2~!U
zy6gDTLq~ZR9d&!@Xziwx^G}DHyAFR(8Skwl#YacJpALP1j-f$1#`n`PBUH!2aETwG
zV`G$#?J+v`#p*a5uj6E*j<d-+E~QG0bRD-cb==L?@n5cv2l+Z473z4bl-MdkBk1JV
zAnhjUw}{;!u^%GihROI5;%Aij8zX+liT?=_XOfN`Q*>;arepOC9gAn_m_0|wq<K0<
zF3@3Kq@#F=j?87E)e0RUt8{p+(c!#Khy4Z}O*iSV-lF5rRvqvDk$5|FT-c@K&>r!*
zPwF}#H6GGoJS;wr>ga!52PbuOJf)+-8PWKhXnkICyQt&fWy#^Hjw#o57;frFzOBRe
zt`5il>8N*K$Bzf%|B>kZM8}$EIwri(QS?ej_!}KP-pO2j(DD7Fj@zH5uCF@gmrDLW
zbj1GB;rd7Vt@L~;qvuLFJzFa1nOI3rP8B_UtLbTFt><SAJ=bdK*<432&lKxPX`rW9
zBRzGR=y};x&*A2J=CstybFO;4+v?@{Mm=wB^m6}C&+HC*@;d2JIO?h0MbD$IdUkZz
zGpdK4=$?A)T=kUp(o^ClwhBF&?s~c3pr@?2o(p~TEbx_F{Ppw*)Kex{&)I%r7b-b~
z>**LFc}MCw7_DdY06igbdKxC^`Cp=*mC1TJ_w{s37ylW04rJ*WmZQffPfyhXJ?9Jc
zOjYWMQ0Zx)(Q{L)XRcmPtWi%>vz|K^J@W_2@erwJn4TNM^~@Zpr~ha@wZ`f>H%`yk
z38K*?Jyuin?3=1bH(gJcnWD)oJ<I3liJzyZ-U7*ap`H<o_4Hn<=i@RxYgXt<TqS*L
z^qg9&XV7}dbEBT8n<R%VdV;p;`TLKatvmFj?Gn2^dXDcE|NHgW9Mp6DkY4U%h)zdE
z&tp=@2|bkPd3{R8pOG5RNu2X~7G2cie_7AxE3$u0kKYYxzbSRymU+4>_V@J6_)m}9
z1M%}vFVBuh{!hjKGd-3UdRo8IbK<q0+_!payw|hsgPzDwqUUEl^S;WsQqlUmUS3ON
zo&47G?;kzMRtBuf8dzM;fTDtdyA=(XDjR52)xeHw2EwfkyscqiTrC4ObqpM?YaqV9
zfo}~AOl@SKV-o|%ni@!GZs2PR1Cv^bT^j=j+8T&xZ{U@UfuVK=8g?+Sp`!s02Lsm~
z4diw)@TaSRY26L9?_prKvw;8?iSKHlu(yG~ZU&|(4774Lu*Jh5@B0QWcpFIcG4RIM
zfZ5+bl|Tctf(*3nCpIAl+`<f$giG8A1OG)zjA#R&V+;(6HBdQT@=Y+%B+0<?WXU_#
zz&~jQdSysWnFjo_4V=%Bv3Uk==Nm{WH1N2{Kz6Z#*D3=_je$>E13JBd?*@r)GVt4M
zVDLcEZ?M!j#6X#0vK=nlkp_m0k{U)!?6C%ZjT22Lh-MQFXeJx@FvUQ@Gy^ZD8_1Yx
z;QlNFadSkMxduY#8#ukdfcGNNaIpdBr3N-F6HQkbShUh0_X-V6SYx2vIs?Y_2HtHD
zADblS%?3iY%3N$S;Idt`-eI8SF41?lfeL#K==Vvy{SxP(fwPAU^f@ekj~HliOy=yk
z%*6@GsYLWYWgzg3fjwsp*q%2q<AT(4N#^9T#JFO>=bC|S*9|nkX^`u<qRDNU`@05C
z-ZRkkKLhjbOKuMh<UcZS^|8#!Qv)lW8L0Ncfa;}zTdxf8#=y$A()M0-{b1nQN12Du
zQr{N?Wxq*1r81A-WsZItnD|R-{B0oYuf(-7Qn#!TO*tc1%Nud3Xk<nuBcCc839o8o
zYc(S^t&J4aFmk4*5xd$(M%FR%u&xnBeIxT482Q@JNLXVd8=4rY)XYdqb0hm&7^&aN
zD6fY`PPQ@9s-023a~Zj4BR=em47N9Ny@L^lPDX}17`f$Wl+QonyQ`7g-DKa%D9^AP
zx#?`AlZ%ldu12o(GGgOq#Mno2Q5b3NZluV=$iJROYI_?=?Q3M4k5TR!NbdedmIfH*
z{-hCtjZExk<W7hY`!J(CA7kWbe<QUbjU+@FSsQKSON<eZSR)hSjNFJf(k9VJev*-$
z$wsVFjrgY-nU*d-GK{p%GLn~V<ewZPKXPSUzL7Bn^4~ZMrDmm(xMGQ|GV)Yyq@&h|
zQfFkl-bkszh?_}jHyb%(F;ZcW5#PZ^#txBsh8nRRZlvD`Ba=spPNO8hF-Ahi8ksUq
ze2+I$W1^AZNs{AaBd4brsXWby&vemmhG;O;$nRN3T;~|k&XswaXXN#KBen}gmqkVv
zE|$8Mh)&Cl1TGhCR~R|4Qs!=z5yv$~GS?bev`*$^z2vdci1#KV=FQ?~i&3s|i`M@b
z>Azj-+#%z38u_?O=3<YL*u6$3?K5(Czmd-eB;Fxu`&V*2Y~<h((f_EC*2iT&PDq|7
zMTZh2k53t?cSd5IHKIOeWZ8Kmmo6Cjdr{WIWzp}7XmVAwzh>mob<yFb=yuCU_H9|4
zccj+4Mqb@B(%?VQ{=Uq`10ypZ8aedH$cx8D>O3{l`<apS=aR<@iTTpV-B(6=ZcXOn
zt>p4f*3f$+i$54S{!x5=5?#I+asDc?zsXuFHL~)%kyAg6y!k18zvaC6V<h^o5tEgP
zg=I_}Dr@3FITPh7m}pngMBhp#GAo-HUB$%eswPfWGx4mtiApt0*wmE%S|-wKn;2Hd
z#FDxu4%Rbqx4wz*4NNp>WTJax6QNB^<To`jrkRNq%_T+)6SrHM_|nQmtu`h)v^C+~
z&O~B+69yX-Q*BMGvomqj-o%{_CO&mEQO&_bTSt@pCdout7ZcfCO$_d4VrF*}>zzy-
z?qTAFvx(O|O_Xt!*uBJWZxaeP6XAWN289W!k_ql67JHc3=4s-Xmx=4%Ci#tri61@^
z!_P!Be-jP?GA__WzaYse*hFDJ69YqJY^aI(VUk<8iQWB8oQN=SHPXbxC=>6ZP5g>6
zQ6*Ml$C+poZ^AJ_@=Y}1lO#DOn}|;_k(Fvfm1e?{Zemo1i7A;T=4F{!o^4`7j)@()
zqG6u+&Np$sK=Laz@xLMyPn1$yv1p-^T-7FdF2_Vgor&st6LkzG8X6^clZn=5nHP)H
zK2YKhGSO|Y3FjduT!)%)8)kyxCOk)o-XkTiQ6~IGn+O<VB5<sUpm8RG$4lK4go(l=
zVX`nq+NVnYG_jj5_A_MMOc_5*{LB`AbHwjl@jp-E%$IlzB<@0qzew^}Ecq;vyp~FS
z%Oua`lJ5%1d!^*RO6piG^$4HWn0T|+#M5;q{#$S2<^~fNH<~EfWa8h=qW2aPo41-+
zwN2LPKPF~uH!*I9i6J{p=yu8a+HE3bkBO+glH)!T?)y#jIAFs5po!*(Ow|6@M1{j9
zN`+TPMAM@tE*+CKc3d<+A#3}jiMb^v#-Eb8Ic=igjLiL66CvlMw(}-BUog?~qKTT9
zO#BhvT$Xiy#l)GbCiY%4vF5soSvO3KxGD2{%S6&`(d&-raaZcUCpG_1#tAR~lR3R_
z;>ZIN8y}jO^T@>T$Fjzrn232QT0S$;>A9?-7oyEe6EB3zuT1QFE$7Y~S%Ys)Xx_<M
zdN1045ZjL?>V6Upg$JKSuP-JxeHDGanJ|@_Nd7MK^ur|Yk8-a4l5<YD{ae=99}~;|
z${MsXlUv42zp`e!mNQeYyqRyp?Fwf0S2VMzl9?fu&7@W_<6YHE`)Xz?RyWIQfSD3&
zGiz&@8C%m#PAxP3wawVqF;ls&^b05IndLsFnGp?Sd_yztjm)%YZ0476yNQ`yP0h?`
zW~R8g#BX7iXVS!XD>Dy;gRRZXYhy;+)=X$SGacJYpN*LZ!aiFwGwsasjIzY+V5V(H
z@hM#EWM-3tnbD4Bk~*8|*~LuFu9AyzsGFHt-OUs@NgX}RG<7!fQ7GvtHM*G5xS9#*
zWu{ecGhc+$Ze|wuk#>c|z%1{{W<ChVJ<QDY6hB^4kGGk+ea$=-_V}2Y;A<w)&rBD8
zGi3wJToqOYn$ZWD@e4N7xSyGq!oCnQ<3r8Fg-KoEW_}81`b)hLqGO~PmnbupqRm_v
zR>YW54Ukx|W@^Nlxht%VH=|21<CSQpR+5=}!rElfD#eUPsu}AvGq;2l>7r4FnO>P@
zDrA|tD9p<?lb&P7G1p9~a3oK1$u|>GAT<_BEyCs^$ysTJV#z~g=7KO=Et+b~*l5kX
z5w`2hnDu5n4Km+GGv|dFCNr^S(a>V%iLh><#2;kFX|S2^!hs=Xh7L8;cbJ(f!_Ax%
zrjC%<Bh54%C2K-hIND6|7&C3gnt3d&8fPYZysV80W?l&!CW`ixB>%}~-U(Z#m{Cp@
z&8L}pFKn4E$1}`yo@wT-uyK}|{Mn-O9MN7_GuKS!JTvX)%Q_R5EHIO>&`gs>W^M>G
z7MlrMB3dt%H6V;yCN(ZM^GDdbLNs0}u~tbg!m8C~Qr4JhwpQj!n6ggR(0ViFH^}-G
z^c%%?lbIL7vduEzTjc!OYUZpkVw)Maf6ROqHf)zU*&%Ckr<u#b*j+N;yX8C-HtsQ#
zwpZ59KA8t$<bE@~4@j-T%7dc!Az9=9nmHyI51Vl~BIk%O^Qf%bV`hE}TaSzX6Qc1+
zsYw`EB6*#X`h^*%&G?*=wIHlJYbO4jte^9ezfg2R=JKMMOTw^AX1ZOLF~YPfqRCY`
ze}rY%M6c^+tZvA<5fX38_*?SYA>`gR)98-84hWjNGN<=s4GIJQC-eEA=q-%6FRwcf
z%<?+~GvgkbaegE*gh`KO-9C}^C`^4ST0N8VSeW+QOrIBKo(t1nO8YCZ5vIHr`!}*?
zgo$s(&pR{!31i-i{|~aZgkc{g?kCY$FnyMMzK9+|@mI<7o0&sGW~t==UDme{_rpw?
zpJrAI!N1IW66XGv^Wu-h5yt+Nb!cVbieM;Xp?O&ghlPxC7OIrDuu%xBVBw1}x1t5N
zN*4YThE=xEzKVqsA+M?h>uMG@3t`nQd=h3_Tj*KC!cD<g(?XM47WN78wJrP>7S*w!
zsB7VW!k~H<TGY32P)KYb{lbEV7J4_ba9c1ow$P}Fg<V2qQ}HiMZDx^s_ZH3xc`Yn*
z|INZm!Lya*Cs<lrXxzraP9eOlg}1`Eb{1^fTR0*l+F1A@%(S)8#m>SRA=BPMnGO<L
zaPDZ~qLACkLU{+tS8#E(a9POfENxvZEEJr(TDTx&cayQ*MI)iBlZ8`4N)HR)g{jUK
z?0Z_|cRd!OT_hJ_q^pHyy)67A1oXCWU(mT(sNToIGQmY*;k=NJ_z)(!TWITHVYd+M
zY2l%u_p(sU+rna@dtVDDg*YFJ{2tcAa9;}z{4A^$-25d+AvHkeQ5X{_^ATiWgP;hO
zI)&7J7CsB3LM${4wXjBT4YP1shzqyyS{T@0<~c&@791ii91wz|Eb@%Eg@R}czl8BI
z;(LI^6<lH^Cm|}%!ec=dZ^0@-Y7v?xT39EzBw08i^iLKIgn|^A7h!a&g?ecgmI@B(
z7WN2zGb~&Z5;85k5VTpMdA5ZKLc<)<O>oE+jRdbe(NBoU7p;W+0t;V-A%zyI7Fn1f
zv`|`DEp#as|AMDV)`1YAmYReNjfFRYRx4{#7^#!`^|EG!<^~HZgpNjw{H9H`GRgc3
zzGjIlL|A0)3dsX4JQeZ>S@<Xz23z<e3?CwEcBqAkLY-k2W(&=ROTB{4{~NgLc%RNc
z0N`A;AI8Mg^mI-$=3rc7*qCNa&lS^ozgO4PbTd626Vu(@ZPVSR+3)?w`*mN}z2}_g
z`P6f~+^fIXkY|8<Q+Qxxu%42G)GpzJ)fbh9$Sc);jSNmvduU{Efd<3GlE%Zuo#rDV
zgWE)mlt<eBrbcKtDl&LNhtYb9PGi&uUB-$PUB>xHm+?N*WrB}%ndtlIG|6>znCw2Z
zo8rE-o$5J6O!HitPqz*l&#*2U{BE7po@w1wn`IwVnr&Z%&xs6n;D>^P4HTKDPslqz
zGFU{`KO%$Kq+OujNV+gG7)jhkazwPnkwH)X<(DODg(geolv>Nw5Z^A340cg+g}K5P
zE7dF+|BMW#kaU&Y5Nox%=U>{ai41P=<67&c@?Y*jiFMXTj`i|KiVfC7?2WGFIT4%e
zotm2?gM*aWqE5-PRUMIPn`?-<-Mr%=O?H@{RNg7?6xn6}q}v@Cj3Le*`{WT#_C^M0
zsJKsG^2L5JBH4k+U<mK{<)B`m`XN0>(ZlMD)JOCr(T>U`*Qt3-?^5)*xRC0E-sT-`
zPMX_%cPcX2Lf+G65DCvj2EBMh!?SWqa4s@fN}BWfl($4&hz!p0%|)>%%O(9t*kv`u
zWh(ux=E?R?WH6qXSFDY{sdQDplI5B>5be4(ah~!w<brfJt(TWHxn(UBzpdX%a>qKk
zOO3nwmYnxIhv@h9DrYG3!1+h=hmk=a?os2BJ(K;hXY-yGPs~t?JvD=f_e^haiSXyn
zMN<6h9^9eo3+pGtOS$0*bzV7l$^P1T!7CcRktcG$6(8Qx_?;f%i}z**?`iVEpON=J
zvx&DfiWc&77oi|`^iVK{SNs?j3bvCqMkpA@6Kci`1sg~oD-;aiE>&WOf|VqT6AF58
znKB=Rf_cRKUnpqHaSFu^1rvEogLt7}8=2yV{H&z=Q2FCfu$&|bLP2NFP%L36n8JG+
ze&QNFPvqI$;+w>wU;%NHgo0KaBzMwKFoH*X|7j>#LE>bgpaaLrpF9+d<|)-uSUZVR
z`Z~wSpDGlL;xXTS7V<kJq2S}xp`bMf$dM)#4B<BA(}se%#7Gwk8nJ~m=|g_UA{3mX
zNQO`_j%QTO=w8J8JQV!QE;42c1--aPvCN@hJkR((ODI^(M_EHbQ?`;iTPWzpNxsM~
zC)}oNj!-azH`K@}hQ!Mi3YxQx)VV`JSB{fAk9c#1;(4u&M^yMC6wKy5wepD>@$!d)
zW^5*Tfl$znePk?Xf1D(Dp^$(33I%^tv~bAJBv=!ripVvO`KD+n_?=gLUn~^-L9{PJ
zL2Z^1ySQ3o74b@hg2t@lldnQS3pVp<N%3bp{+FMiEjvk7%DUK1>e6z^UecBc1)bPO
z+OI=FNA{AYtnXnDsmq0e_Uz`faQ9&+Dav~mTS@wjT(OZ)D#!(Y5x-(6_=#1-`8E{P
zWeL$Lg@PZL$7?E8mK&Z@u8Np&mlEHpQT`$S_o1Lar^!}T4{?yR)vSr_B>BO!SxxNf
za>O6JreX~}!hOD~>Aw6;-dbvlBc!Vx3VvY=3G3)3mhm6o)wM<*QL<hr7|um<*0&b+
zk>W?WU=6Vvgo5hK<|(BbdL|di@sk>5H%S}GCCm9hrN*IPGPfzzBoy@J2&tQff|jfy
zMl&_SH11NQx!7=wG%b7|tBL-zdBG%ZkgsJZ2(gb(BlIFmcum<>p<pEE$=q5@*+A?z
zdXlN!B7a-=U@u92QIpK)3B}u)IUFHn`%ut?CA_3`hfpw-Q>5#tURc2!zV4(?IYrve
zV#sn{Q>KgSI7ynWdW|Lg%U9hzk3)Rg-CCH-0}A!9PImEePq|<USIHh}f2`#L<wBm%
z2~tIg3xDv4!o5O%*G+x#QEzjcv79G;AM=C7Jf&#gP!PpV;`Wmx#&Mo>{naK5cu0W(
zYJg3I4KyPe#xar&3I+9;!8NiDHn&;EGl~o`Ti8O3UtP;kj*w)ix@R(%NIy&-n8zJ*
z4Oio=<X?)8a4$9!eWW^IAbW}Xn|fpfM@c+N92w79QjHD;^_k8;WE^9U%;hFo$I3Gc
zxJ%A)W(G@mNZ#@CzzUvHV1jwXDxOntqR&~ya|%xKIjeY1!O1>n70)R+#pnFVQ}Ru9
zf0pr(+|xXtMcgI(bn9b2H_1H1`kBoY(*3Tcn8G=d&vbS$hGQh0rN0=;KH|()OY~za
z@A-0$bA?qrA<ta7<PUC;ah^HDRL+rXzS+oc9OR=v<b>XA<P`-M*cXerO{RtBEK@m4
z(nV^IVeBQwVl#{Gtl|+lmgpsZ=K{%=>T`y%hp=V(i*EeM1F|mH8%*I830F81>BlBs
zl5eH`F_*td`KSFboIONa<qW3-i?~jj)!vyH$zGzb5jQ%rm>Z;BtFHNteMJAueQ3`D
zu8?w_JurlAye8jz^N^XGBhdzHrVs0QLbi=^z<3T3bCX#{2Nv)T$v5kL2C$K5<k%t}
zOymf$wz`h?%;yqGws{`CSj{~$Y_}JNvxC><-60=L;TUmtI{#?TJTCCbF7-tZmT{ew
zyRD0U{KW$@?s0#Hv5gnx*z0|g(d_08dG<Mb7|(t_kbl3K#$*l?cEAiIg6SM5_Cc|y
zH8VI)tV3oAt(eX+VjecDh+rB=iE+gJXvtKL5O!2e)0~Oy=N);DscS~FlNV$=?mdEG
zZ00c;Pnb&#<S*`$`lQ|@ie>ymqEpTjIx>e-#6E3}{LCcw^Ojs^^gbil!ecU=RbTXB
z1y@LP&e=wLW^#<^=hYpJ7{xZ8kl}*s>B9=Hkm#c8X~zr>^PXInoB{mGI&PEvawrI=
zGjljW*x#PTPmE+U4@mt_DEOA{%;yv_uJ~RWGMo+EA^BBxMMq|Gg!kmU77FSxh}B#p
z(e+Re(3(l?<{9a4h&Mf$&q<=+ltbz<nAKb*;VrdIOUAQ<$E3OKJ&i8R;xKQ>a>w66
zh+-k93A^jw)MX$mxlG)9>WjvVU_CcUeBTTtf^lr+9?2evKdqU-b{>%8q4yHnGKrl$
zBGn_Yq8(G%%@a~Tb`H~lsqE%4sh*hMv}GdOxlgjE-U*3dEStGa;%8z*bADqz*GceP
zf6<tstl|=}|1~?PO&=C=f_G$oVK&f}-`U4gK6`0Rv|&73xJ{y0<}OVb%AZ^y#%r~}
z5A<X<2YAM3Z^VgKj9~-Ui1*fcPCfduh!ec!^LJ{Kj!b47w@LV3?)Z`ZEaEt?N&i87
zY0Ee^a*eqEscCA{i+LR4IiE#~3d+!u-&n&%!lFk7*{DJ%CbN~B#1D%K@>82A=CGf~
zB#RLhl%O$#S;|S?kUnNq5Ke1GvzCiQj};YU;al1<j`jRa%-B&ucB;^kiEQF3apFV;
zxu{APrm&S8#Qi8L$V+v)Go9_+B<}yBf;?2C3zON*Rbt1D^7{;)M+e5Up38*Avra0~
zmeH)?JRisy-~NbT1S>hkD?a-;Dkw=K`ZJ&XJm8ZAQ9%J}(w(Vn;VQ8b$^+lhmQk$Y
z3~xyDNmNjZCJbZ&2Y5ijL{ULLexNfGSjPq4lP+;oP?{zTU_Se}$Hz&;kE(QJ9BVnp
zThb(r3IZC@kGbsOHvjun4EdJU3}-1vcub;X>W3fb#5mS)hF7Fa9u<5^JtCRLX8tBx
zil`t1WoSZw=CYfc#7-$kgwvdX%wsn<iJi*V38y&&na6H!68ke>C!FRCWFEV@N$k|V
zPB_gO$UJs)gP3Weg3l>KBYHD~&0OLgpQW`w>d=h|tl<>TNs>-{s7gCVvXn#ICtiB-
zr2;=Qh<WVdI$;^~8YQVu4<@pPlRV{<jCz1dL@=0n?BpuZK9360Qi8g4V?3)k&SMf}
z(tlLsX9hBd?fk=gQe}<`icp>Qj9?Laxj|T#s309Bs6!XVu$)8OB~I3;AQPo&Ku;#J
zn&Uhoel~N0aGKDYX{_fA&-o;~_3{l(>CIIB;v|oWpF_V<mY;}ZBC9yceLl)*J(Qw8
z-5ASq4sx5Ax#WNn)TR@^v6#JFCt7Z`Kw+xVnnBEB6K8owf;{#{SsK!VaV+NmH;JA%
zDo9Ncs?mnQ%w{v^cuvAE)DGqNiJpvS1qZoBSU&fnFy9kFf2Q*n$GK1J{PxI~RHrS2
znZ-s<^O(2=#EX*DrUS#6$5zhsoCF2Mo-)*@3%{|Dom}P>i3>#qIVsDJbYUcau#NLP
zBYxqiATuSYMLUKtiw&IQ0kMmyL5fn92>LOV)g0y)(TbW)<mX$O5@I~d*vl2(kffM3
z@-_A7$WUgpffL*##+Pb<0(?sodNPJZ?BD{=h*#Wfp*TO#ihfMtPY!U6w<Iay`Fu@1
zIx>{mY~Td<i1C%@lb;IwL{~;ImyMj@F40Ry1u4i&I6u;fq0C|(N4doZJ`MC6UsIR%
z3}yyvIK*|{lDL!_rxdkl%K)bGC;Pd=D-xDAgDF8ZekO{sEMzOExldRbYbFn6sY^Qs
zGL@C=<ucES`?Z>;FqLRbH%2gr^&I6U??_x$%~F!;M9`b@EM_}rc}UE1<{@8Dj=KCp
ze<rb%9h~I>Vc}6ha&l3cnzW)f<5<WRPI8A2Bq?t_d_^@{5XmU!v4Nx9;0+1C(VG;b
z3Qg$7aAvWVgIwVS@hXT9g{Z)fv}XX5Si&|=afkOLs;CbsMr9h&nITML1-m%M1EPPc
zcF4|GRHYf+8O}^rvyV$WAyy^5Np4D0gO-FC#az~Lh%5Zd|0;WrAs^+aO)H`p#T?eM
zpG!O@MiuY4WTyn*(U{H*W(rH$#z}7RhL67!Hwq9=9a__i(ahy94se+##Qa|V$-!5A
zPZPQ@gsCiJJEyqKTM|_DjzmGqQ-@ZB7|BfjWEW?+!&^SC78Rr;A74|07IbGQ(^$qf
zPH=;l{O<=dgxmyFr3sxG#3UB6i6dO$8L_I{AK58RWg60+evD&2>o~wA9ud8UIwvzl
zs6ahh6Ji82Sk5+%bB*W3swsbDr6?7sODiH7&UBWsm1A7x88K_AOR`XeZ>U2AJsHL{
zma>JTT;VA(YDWc0$xLC&Q=69bU?@{r!e)-}4^IfIW4~mg5aHCK1zj1$1m?4rJ)Ged
zFNsrEoXJWN%2SILbY&0|n9o}FaE4pFBu+iola(Trrxq>f${;2%pSA4a47YemocgXO
zD@7<zEn3i(K}=viYuUpYZt;>hKf0c*6rnt|Xh9bSFqYY@WE)5Mn}@t7egid14vO&&
zwP;Rf`ZI=EtY9lgxXc6I5wD^7O?HY>o|-hH6a5&?OqR2S!(8G%Z;AVpIYl;#5Kax6
z(viN5;&+y@nL}LU9&h+xBWD^}DNH%4(}WK6W&~4N$Y1Q{Bv*ON2jVxjAF@%HvQ*<I
z+7ijHOk^Ib*v?TdbDuYS)I?8_iTsqJ3iXMg8v_~3ES9sGgPi9!FNoRHc}jZnP=boo
zra7JH%Wq6)G3(jOX|D5>XwA$(Qj>$Cgj1cyv?Ge4Ok^%A*}_52ag%36Yi=%*imVi*
zG*zg_&vd3QBbmwq*06)4T;eV-iP^$=NLq4IlyX#~A+71oK*sPpOIXhyPI85Zyyc^x
z%_K6Cml9N<CQWEZh+mn&99FQI1DxdsPx+7dE!8JkC_pJHQ<oNWq7TEF#9UUeiG7^n
z3J-WqtO)xh4cRF~X)05PX0#{75XLc+C9Go?$GF5D{v~=VIUyyP$;VezpazX-Lw5!+
zifJrhHQPAEId1TT_x!K5SdxL<6r&tf`H_}%rVqoJ#9UUeiG7^n3J-WqtTy&f8nRP}
z(p07n&1g@EA&g}P3t7!p4se<)+~*}>ZN-2Td`=#UQI_whOEcQhlYxw4D)U*%CiZfI
z%iQ5P{}J~Wu^>G;DNJc9QH#d3p&R`e!6fFejP>l|C>OZN6W$T0ojxZG*(g9sDo~w<
zM9`Vu3}rksS<G6tbBMEC;~}q!+1@)XsmRP16epaj)Tad<2r-y3Ok+MP*uXB1aE@y{
z;3d&JI0yKYbY!OhUs0Z_)T0@{(4Bq^X96=>#A>#%j}u(t7EgFftd90UN<JqyMJUa;
z)Sw|P=}3q{jA9CNS;jhcaELQp;U53;AOGv*-GVe^B_G8p$9L4B32o>~ABHlH87$yW
zHnE3eT;K+ecukDXYL(<<ASZ<gsK5{WNDJE2lL3rm60=yuDmJm3Bb?<5cX`G;Vs$b5
zNltpQlb_<0r7|^X$j`K=2mKhvIHoh7<*Z{n2RO+kZt{p%MDMCsNJ45dlZPUdq5{>Z
zM^oC+g<cG16qA|FVpg-6Jsjm6SGmV?-V?i<+8_lP$Uy;0P>w3p;wM_tfu8hdIOCbY
zAFN<KJ2=QGE^~{=ye6!>nkOk~$U<I<QkshVKz*9gmag<>2&0+892T>RjqKzgC%MRV
z?(>{?#O&cbA}OiKL@o+ag0fViI`wHvYdR50e}*xZsmx(9tJug+4sw!<T<1Q|c}L8i
zo=;LzlZjjuqy%NDM0M)Zl-6`2lKu>1EK`}oVpg${ogCyO7rD-Tp7V~Fk)BUdQj>{X
z6r==YsYG?^)0Eb9B9i_LV=Pmd!(vvkk)0gmBp12PeV+4<m?6(6DXGasE(%hDvQ(lv
z^=V3LIuS{KhB20@%waLB*uZx7ag;M$<_7n9#v7tXdB-6k$w)&ca+057l%hOUs6l<2
z5J7vo(Tjl$XDm~g#R8VImd)(qASXD_6>js07rZBCFa1DbQj(sm<e?BH_?n7Tr8W&|
zP8&MWlfDe$HzqKhxh&>S*0YVh9N{#VxXwME@|tM9ov9??Q&RIeImky*0>Y_Gb?VWW
zmb9ZQQ4C-hW0=fL{$Lqv*u+i_aGZ1e!z~{2FYk!a$6O>4DM&{aa#N7vl%WFOQ;P;P
zqct7rK_3P)lJQJq4vSdHI<~Nj103TFm$=3q9`P@4iQZSN_?RT5BpsQ_Nj{436<<?<
z@2EjN8qtC_bfi1I7{E|QF@b5!W&z7s%?7ryheMp;9Dj3zdpzMK?}^dR`AkAS<ufvn
zmE07d7y;$@ma5d^N1D)*U+7Fv`Y?#$jA0Tpn9Cwou$E2iU>`>~#RaZ#iw8X8HUAN-
zzn&lw$w|ZKWG63$C{Ah0Q<)#ALqnR;iuQCRL_dZwl5tF7Ci7XspR8jGyEwox&Txrq
z+~E=b@|NfW<e!g8LQ2w+nVjUK2w(9v75I)C)T0qCXhTQ3(~AKNWfT*b#%va_jMZ#l
z8+$m&F-~)Vf4IS29`T&ld?3a^Gmwu-Omb3_fh^?Y3kvZi23=5=3RK|-YV#wFX+dk+
z(}kY&W&po3lCex;I<xtMC9GsE8`;Kg4seuHoab+@bBBjK;}!1-8zlb3ClSf`jPztC
z2YD$-F-r0^-%y!q)S^C(Xih8I(U~6fqCZ0z!5AhojakfRF)LWZ2DY+`{T$&W=eW!@
zZu5YryyP9x2YVMI9-r_jsYpjAvXh4b6y+<*P@YOur6%?GiDpFb3!Ugr6#W>?a7HtM
zsmx>^i&)NT*0Y73?Bg&eILjrja*O*s;RSDrHbf5-mxLrGC29GbY~&_CMJPdO!ugi(
zsX<*D(v+68r6b)4(U(CCV-(|=!tcywA<J0BIySR|y&U2=r#a7Mu5y#RJme`ac*6(6
zew8EQl7Pe{BNb`MNEULChx`=gOG;9Pa4J%TYSg4I4QNbrB4|qoy3m6t`ZADT8Nq1A
zGnwhkVjc@w%1YL-p3Q7$H~TrvaZYod%UtCqcX`NDUhswwgblTS;*x;GBqJ4R$w(G*
zkca#f=1WRahHxrUg=*BKE)8f*b0TO<2fEOMDEcyxUm3w@#xt4e%wir3S;|V*u%69q
zXE*yf%yCY0p37Y2CU<$rQ(o|f4}=Y~f8vsW#3UmXX~{?ya*&7o6y{4xQigCUQiW>N
zq%I9;OmiY=O9#5pgDCnkkY5?WXvQ;{>C9pt3t7ra*07$<Y-cz7Im~fRbDqmw<tBG|
z$WvbMh7W`dw}0Z2fW#yt6=}&x7IKh>{1oO(N>YY!DpG}N)TAyAXiRe=XiEpW(1R%Y
zGLT;x!Dz-and!`89t&B@O4hKR&1`2k`#H>UPII2iT;V#mxXS|`^Nbg~<{keLHo}bK
zBjS;OL?k6SsYpY5J|_#=$wglBQ;4DzrzE8*OL;0%neX|5n$)2_4QWg>ex?;|X-_A*
z(t{Aa>Bm5ZFpQCmW*ifl!gOXbhxsgI3CsDDHLPPJTiDJn_Huy39OEQsIL{^i;Tku&
z!+jp{lz(}}TRsqdq`walhq!#qCnO;mDM?K_GLo5W<RlOIC`b{$<SR<?HQ`jC65mmc
z8q}s94QNDDS`a}S+R>3NbSIKt^ko2p8OjJoF_sBTW*WaUn|Ul?G0RxVYW`vao7u)r
z_OPEr9OVS3Imbo*<|;S1%{?CSgy+2E4eyEen|D59^FQK~ki>jS3O*w(8OTIda*&%Z
zC_rI~QG$Rnl;az|r3zK4PA%&4BR|oE=Cq_WztDlsbfYIx^r1h4_?6-O#u&ykiK)zB
z7IXQ7MJ#0nt60l=HnEi*>}DSaIl^&Hah3~Q<_g!j#a$lom}k7;HShS3uu=M-kBCPC
z5|NbTq#_OJ`J60dCl`6iPa%p@oRXBLEaj<4WxnSJYEp;#G^8=j_?cF;r9GYKN)JNx
zrXK?t!Z1cMnsH2I3e%a%9Oko-B`oJp*07F^Y+*aQ*vkP9bBvRm;XIf4hilyA4)=M)
zQ=apJSG?gJABZ+ue2GbHJ|ZshNx&y0CMn5CK`K&{mh@yK6IsYc4swx)FUU_p3R9FX
zDM3j}QHHXF^9>cLL>0cL8r7*uZR%2=2K+>0n$nz~iJ&!YX-5Y-(S>gGAd)D0)0h4X
zWH7%nj1m0CXvQ+0iA-iH)A^lQ%wZmXu#m+pWjQNZ#Tx!%Jsa7~R<^T~-RxyQ2RY19
zj&qXJoaH<hxy(OY<vKUH&0X&EkjFgbIWKs{8{YAOXk+A`n8fBI;u4<(d_rQ9l8h9j
SA~k7APewA4g>2*?7yk!2o5<Jz

diff --git a/examples/ode/SEIR/SEIR_fitRandomSample_RK4.mat b/examples/ode/SEIR/SEIR_fitRandomSample_RK4.mat
deleted file mode 100644
index d7ce975326779b55eb046c6dba12abbf0ca29f00..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 160184
zcmbSQ_g~F_^lxwNs8G=$A{nL5^N_Mi_R9F!g+jKBs3c`nw(JlxvMEGH<JN8Oz0)2j
z8uGnAe82y|_uj{Oobf#G*SYt;&+EL-dEePn7CB9^Gng=XjKS<Fi$=L_-r`~~Z_C=<
zt{ywL+8Av2*tOZy%)ox9%i7&88w@<Q*%-|B*k&+g&qjl>;|wgUY$jORh=j3Y##)H|
zKVISvvz0}cjoBd~CL`i<B9i^zWu*UCR~;rMCMA-^MQ_jl!$tlnLLomCk*$bAl7$?a
zB;=I>Ar~eHSv_9J(%*#q^0SZ!eG>V65VAqEkl()+VK0Pi5-H@)2q7O07jnuiA!lC|
z^5u&{);S|&=aWKSd`!ryM}&OBQ^;R-2szqK$R6v3T(d&Rx{HLY;w0p6_CmHMk$tR?
zT}(xB41|2XzmQXvge;H{vj3lCmTpPr=~c<>n4ipQDam~0b25K_oy@-@k~#T$GOs_A
z%%A*{xolrDe{)Obt^Xx+(cENKu}fyT@yVQEoXk!GlKGNcGC$}_V(*3|)-OupW64SU
z;(Zd|f0V=<t|oE)i6pi>ki@e#C$Xt>5~oj3V%rHxe84b?z0{J}@t=SzngncLC}58S
z0lU5u@bEAJzdkKs<pTm9>nh-(3j|!o0^VdQ;E$Rj|9^>`(U8bNIf<+jo5(vJCi128
ziG1pCBG28F$QAPw*^Ux<r;!Njm&mrA30zj1z;hB3`1I2RzJ4iz4<AY3F&h*3<(veT
zwM^hqgA>?TDuG)Y;`vlYJomhfXTA~73;g2Q#x0&Z=f<=Dgm`Yyjpw0a@jSXFj#ZN4
zI4&}d=bek=XZzx~c10YwPmbeE!#F-68^_v>-`Fel8%I6=#>wZu@#}rxc<=IWtis>e
zTmKsi#J_Q4)mN^G`^r)Gzw(B_uiW7Fl^vYEvhS#`d_h^nTfeYF`WJ3|_Juc{`NFX~
zzVOfaUs!ys$fov%pSOSJg&ChY<Jo663;E3JJwEfkIiGpcsLyPr^qH#~VtK0|mUHgM
z@<9Jsw%riR_I9ysY!J(}e?PH*(I=LP{=_a9Kk?mNpZM!M5smu9cN9MHhVLI)=G#XO
zy!DZr4}IjZ%Rch52_Jc#+DD$<9K*VT7*4ty!z;aGIAcW&n_9)Ni+T+EHGkmai63~|
zoeyk%_ygBDf8c}TKJd?eA9!Bfdp`T+Jx5=A&vAR-^V@mvIe5f-o-OsB+e_Z@!ME?Y
zDdZhbb$iFY_V4(?pm+SbBbp;pqxsnVXm;?9<__m*4z!478HH$euZ-g8cTwDSHi}i<
zqgcm2ij@XNas7|C{50t;ufF}3yZ684BlF*K>+rYiAoiAn^4{>r$TwVg><w3}e8bt}
z-tbF>H+;C_HBX3o&G|vEd6Ua)uBO*KTm3cPse8q>A7Al+3$J*B`zxL@<rUL_S8Uk)
zlDodV<e1AZdHc4PtTy!}hv~dzgVq-u^z8*Vg}z{Gj~Bdm>I=T3^MYero^#6A=bUu;
zIY(`M&KK>Tv&(?zY~1vWb7P;e=Y?mi<o1luOnSz08qavg_opm;|CDt?p0e|Xr+i}K
zQ;t-6%5mk9oc1b`g#nTLVPz!W923cVr6PGs{uBQ9=m|eR@`RTze8N9Wp0H2%W0p>R
z%wA!SxncKXcAEK^?+kp*tu2q(;>#o6bm0+S*z|~_=n-cqKjQL=hg|dOA(tP2$eGI@
z^1D$FIaKT+dt^m0?nSWJ{s?|QD}uM_MX+}J1Ah1Q0WZ4vfNM8B;O+E)fAo96TgvZq
z*^B$^c<eq$F1^o+BkuFs-h2Ek^&bDZb&sug-Q(TU?(u^G_c*scocrE~vq4ZeV@)_O
z7#q&(q{4Y??p@ybKtu=b@>Zw2yk74vFKWBPwqNe>u=96V-t`WDx4Ofz@^|<`(QS5p
za+}8;xy`-vZu94%x7qhs7~95&ardP#e!e-3H&7UB_6y_BrMKAq*)3N0y~S@9-ePCt
zTl~B8CZA8d$)m5_<aqa+ypnHnoAOQeEx#eE$u~Ic=nWpd_y$Lt++h1Z*I6jI&I_+z
z=YlQQdDW!rT&Z%MT`I0|-HU7N=68*o7GLA7!>)15pR2qr=_<Ee74fYiK1sw?uX1a}
z72f{x3b*@R;ay9vaL2GK?AaB{y-A_$eJzxww}tY_$)T*S7RpyEFSGHh%lz!vW#*-q
zIeGYHUeSGto0BiG_w`Gx<#CB0+g{>n>X*2@>LPo+zQ}`*U*u2D7kT}Ni>%OlfnTLu
z;59cdu*!}L{MqgT@727(qifG|{oC_=Kkz(nT5+DuMxEzhedqX7`Z*4|eU8`cKF5~R
z&#|iZIc}~$%c<|r^2^g_`P%BUqP=&P4@jQn?Kx-I?fx0wwEqmd&pN|92cO}?tsxxr
zIfU<=3*i`-5H7X~VKIdeHZ2b3rIEpW!aJD1EC}X*M!`JgcMt~(f;jhT5SwlbVjtTe
zE>jO;yPDJd=<R9NJ#m_YSDt1C^V57n{4}d&pW++$PO-)QQ=ByG6mQl$#mem`MLBqq
zw_H5Q#+y%y_UuW1sC<(5R-9mmS0~u;_z9L;euA6KPH^GBKu*gH<m7M>_YCC1S%KW7
z7s%2-0@ye%fM;J0;6v^K{9;l7x2Xm2gqq{*8+DxXP9EoRtB>=gvBz0b<~Z*w@aG?o
z{dteKKZ`B$=X1mSd34V)&PYARhi)I^F?)}3lfyB7Hdv&$`|<oZKOP<G$C_LHSYnDF
zcWL_ZpSq(g7ITzU&m3h_m!mw(`Y7+|ca$Gg_;U4YUp77A%llUOa_U%L9xdz3mx_E?
z{+SQ^`T4NiG9SJ$%7@J)d{~(4&3hhs^Du93u3F^H4@|wex%UWPzjuV!%saxC-G^EK
z?qMD@=P;Z7@#49+z1ZK$i_<#~@#wHad~?<zHtIacA8sAwO|uU2@XiC=d+PvK&pN>6
zo%^{hY(Hzx-p@{dJUR4^CwI^BWRLEB+!el$FU{Y_j(_*ETEt#%UbL4>#P)LK<2~H#
zyoX0h?_rPUyE*Z{-E66_o1@?C;`!@$ai7XAj{UHcFKyn*e*Jf{|JNOSefthh8oYy*
zlDG2)&+VLHyqy<id2qA02VWiS!K;h6vGs{<Y&vlpo7ZmTS?9O%A-k>owQUO<+}y(F
zXK!J>UU&ZZ(4BWLb7xyQcOLrIjR(5A@dzz9p7(7tpW3yVONVae8JU|n-e(i9wAjRQ
z6&pD@WFv>$ZsZGXu6*s5E5DoP%B^CqZ1dcOudQ`qEp-<T|FVIdc5Pq<qYYe^y`Gbg
zt>;wB^<4LT9qWXy<F$_KIJRdkTRmCJajVv{o9bFN`Lc$)cdg+X<2C#}Z#9dbSj}Ux
znh&(B;=)_2c>cmwTrRze{iFWlsqX)=j^2MPld+N&{8qAw)k<F0u!8SiU%|5TSFn%N
z3f72P&N1%G`LO<SUYfOxXC7b1^Jy9HXm#d@JI>s-)S1^RIdetqQr^F3DGwj9lv_)e
zaO$}w95-_bXa8NyJueos&8EeCX7FMb%UZ<80~WE#q(xlvb0I&DSjgvAFXXdY3ppZr
z0q6THVEu^;_;Aa7?zlUj{Z`CpGxho0lsJ#S9ht|kEa&lu=DA#acP?wLoXaj6b2&9>
z4$t+S!*$kkIJA8>uZx(?Q`gSsNjkH6UWOAN2z25PQ=E7}_bfi~Vis$;&*CV<S-h**
zk!M_R<Z*Kx*-F-t7sfhpz<vkL8SB6{O*8pz_)MO?dM5X1&*aaUGx+AI8GLd23=S8Y
z!NPabS#i&FUS~d?GwY}E^1IWxd(||4p)-w-W>4iU!Bcsw<5c#Sp2}}y?OFVgJ+HU2
z=aL_G>=9|lx^8w{Vr<7z6;t@p^(p*j*%U6&n!;L{w!AsWmUA3!d6}#&cYK}95#Ez|
z4^QUh-II9f+ey4-_aqLrn8c+m%=DP~*=A-Q##~tqzIhwGdkuJ<9(YqRvHum~56;92
z14vXiZMfx}4f`#y;jwBq{5#E>vxBTzFx#4Qm8`iZc_L3dIgw90PULR+iF`z0#e)K^
zIAf+2Uzf9DpF~Uc3b5oeGc7qr&XUCh6L>}71Wt9Bz{?aSa8J^BetmL0A9oth+xv~@
z9jW8^MDRFKZjWOL^>Mr|Yb+O>AIqDTjAdo*u`DdG;M-R%IQTycKCf@V&nm`n^_?+n
z?mC9g4j;oxjpls)i8)W-Zq72}%(=8<G^a$3=B$IGxqZ@THjx<3JL5)iZonv>?=*_5
zR7UZsEHj>c$&8Ixn6ak58S7S!WUKol+1-64zcC-lI=@Enxu_9r<TZkYQ%3MfnGw7;
z*_7vmnDT<fro2_xly8;|=eoPYd4}6?jxit3jvd3e<=rsReHg|Erw`-xO2c?vrU`pq
zHsSD9CR}G^!gh_u{PMXm+jtst{v=~QC2h=0g+^?B&WJ6R8?o&WBX+4X<gllP{By4%
zub5=Wh0=!XkusDAUKq+HD~IxHqoI7aX$VKW8p7WW4dITdLzw#w;j1|Yta8JELtPEn
z+T4I!f9vyySbe@3sLz)d==1%7`Yf#0W7$YOcHXDQpKSG*6!bVHYcTJ*KA6XC9L%y7
zgSowX5Vw6B#L~foc+9dvyu)x1Co~V_aZv;LweLW7nmv%a1`Oo)mAZWHi7tD4>he*0
zUB0TU%Yp(ORtnc)m+d;7MLN7hR)<?NwfXuDZC>N1&DNIMJWN8HN2Cs5yDJ0O!*u|^
z7(0L!{`Kd5$^E(OQhyHF(4S$^pa1^V;;bYs{&-158$_~&7XR(jWD;s}P^cz%x@z*S
z@tQ0xp~;WZG}!gJ23xvou&%WRYshNwkQ{ZkzoX6vcBpgQWOX)HR_D-SH6Hp%jX&*I
z;~g{A*lK_ptJSKq*lSgm^iyTsg{nMls45?8SK)$K6`m5J!ZE8=c(%C;xA!TF`g~>H
zdqbI*Zc}EbNy@xfS($f~_T#X~eq3|7AM@OP9HHNjP1}?>CRT|zoKa%^bxPbaR*5qt
zl{g_=ku$;-xn-{+>(5l=4LXYap+SL%e^B82rxn;{wE~xqQQ%Ms1$NDr=jr$4+1gW{
zZ5`!#`5<{d-Xh0|v2r}<oE#r@k>kHsa(qHTjz^Tpa>-L!zT+#)hZf87rs1-@u}6mY
zr^@h+Fd5F>EyF`*%J7kaGThc8&AYxxv;0MAez94ax3M%sO_~SSNU>V96c0Ep#bee=
z@rnsj94arx^(B(*^g@z9`%ALJ3Q4Xqm*ik6NuE<6!TOOBEOAtV|16bYu~8DND<Q$t
z^TgTju{dY@h_lsFaeizj&f_G+S(qor`<{sL_@iPhxlD|!M~iW;lo-E${SOsu|G`4}
zAHv`D0UP`9TcZy-v44@f^)GsK|H3}87m<5<0mEK2r}yCV;T}Yp^&qpb8!Ca_@UZH}
zkD4xAKHr5k_Fb6u;}4dF{XyWoKPdk98}pz3M*XVaxTE|VM?QAKYg;F7=yjqZwFA?S
zbRfmN1AEJVVal0b7;X0p`1uoC?*7Eb#Xn&o`xEg|Kj7u|1B(a!z}(b!xOunZ-q?0X
z)wJR0r8XEkwxPPW74c77Az0UnX029?6|~^;p%&<mX+c6&GeRykWB;sX9R1gX$d^s%
z+Smk_K}~2+Z^ZRujc~JR#M0IVY`EKiGs_xKrrdzp-|A7czaD|+^;lX{hiO;quwZ^2
zj>y(Q81o(0yT2oD#CPnds0A+9V%XeTSjg03MNAFu?yiB7Sq;urRm0|LHN+NHqeh_`
z^<S!>bg&9@##P~IV<kr4t%Pu8B?7f7;gVW`)yFH~X<LD(UFDE|S&sc%%AsUZj+nAC
zoC+<&frVx8?^lLr38nbsQ;Jn6MP+9R{GOL!>Xs4=9aaLp%3@euFUB_KVtmyo#)PyY
z#GNR@&gn&9i6R((EX2qIg_vVmh@c+@XpAg?t9t?Zh85stbv}-T<zx4%e0UGcM?`)e
zS}x>a-oiYjspi2wH5Z1ba`DF@7Y(u^9+v|{zZ|&P<sd~Y2eUtAquwhUVaUdwo-DY$
z%fgQRS-3JW3uV7EG5KvK-tW!CLd#6Zc4i>&bq2od$$(%&2AVq3G2%@+{Pw1!%Q77&
zey71QDh+*}X{fMHLs@q!{=83xnO7<fO-jZ0e<|4dIR(l`Q;;+@1-E2Ua3)cR>nDWx
z<|KrSiV*8El2LFj8E#9G(O)MS#YIVoxsimZwMj@dN<!av0cJiD;PEyAMvN8UYeypX
zMkm7FD-k26Bx0m=BBl!xaNu+T66YsiO#cMDD2&JKoAHp?5RZ)E@rZ7Y!}}L;$lVtQ
z1&)KWL>xXPe8c3^-%zmN8%}9|gLCOu@ZGN<x35?*<|}+VzaaU;7mPak1rHp)0IFY5
zpZgh+*FWRbhR--U@-xo<h{e0;Saf^GV&TkKd{c?VoV-tHyYUGRT|eQ_=ug<#`4Mg(
zKjN7GM?}r}2+08-;aV1hiu*Cxy*&o{)-k9Qk3me*2RuFZ0nsZzpvd?GG+W=pCF(s=
zeBNXBtoNwae2;Ub@38E_J6P>}2Q$3GM45M3ksghUSE5n3AsX||qmj`Sg-ze0&_6f|
zMa!b_)+h=OTi@d4ySK<X_7)2B-@<v&TYUKb239ZMKydgCb~wHf{cdj{UHKaAPhR8a
z{?|~P{u(ywuW_XG6$&4|!mNF-kZJ!4+f`q|sN^MDB3>eO?@N5Me~EO}muN3}f#Hu{
zV2|eu<WGBn`5G@!R{k7EBcB6@o<q^`Iobw1M?=jsbiaHCecxwTHt!iC^qxVv`6&Y4
zKZW**r-*TWihaYLVtQvJM#M$J@O&gJ)<<H|*hribk3>QG6VR<Ec;WE`JoyPql%L>i
z>0_*nd<>hzk1=Y_V~p2(jCn1O;QjFt;({JQZ}lUbGJgbRu}8R@{t$D+9zuENLsZy3
zM54w+e65Z^=IaP__(#CZIRg7kBaqwu01m<jNWcC7?j8@IJLLgN)E|iU-+f$vb01d&
z?&I<D`^Yf64~2jCuq5Li-rTtd)4libbml!c47`WV=5V}?4adoI;n?XKjxE;VIG_}c
zt7UhQ_Tn!3``^X(Wp`0xb{GGN-9=m09bCMB2XhbJf$rQp_%rkl>N{_vIq5c}L`~_a
zUAM7$#%;VEcpKVnVL0_I4C<j_c(gSPOYFj+F(3?8jkgdNdkfJQZXwp~778Zcf|S-R
zOli1@kWV-9<NQsyy4^(6<eTu*x{1+^H_#A!15p=m;PRFm2(-H)+7CAn)^Z(*->yUK
z>UB8oxQ=@>u0uobI?n#O2E*iQhzq-h{hrq_Y3?;>nOwu)-mB=$x(e|}S25W4Djb(x
zMc|mLD3HAho3bl-{N@VGgRbDK%N1<mE6~@vg6~bCi2W9dh-;y^vpW=#PN7IL3dQf<
z%b1XJ8GcVLqw3gYEL?RN*_M~#qH-Csb(atwdkKd^FJa!!OBg@v5=@OQVf5dNu+P1S
z%}+1lX23<%ti1@(McmQ62;G(o2urvC>#z%`IB)@>i!Na8Xpt^=0YfU!L+8VJ47qq7
z*4xixt>bxw8l6W)-#JVyIER}r&!K<NIb7d#4&&_4p<wVi1phgUMOkNI8hIAVfoDZ^
z<}73;pM{R@S)k(#wxyrJ(?@3@cKi(1tUH4=K7%<rXHfhr1pCuNVEi})6~{yHczp=`
zCx^geU<fw;4#u{uVE8=^M#RZrlxz%!!PH>vGzdmkZxHMYg7D>a5ayl@LgTg|T$~kz
zdBcOCEggi`iqpvXcp8GMry=w_jgrNu@ptTLj8r|1P0gq9GU*ihJvfCu$4;SX-6`y_
zJq0PfQ@Gc25=#nBLi6oOl%GF|_d8GG?!1$@I{GATDV@a2h7-t6JORo3Ct!Q*1Wv9$
zf$AwIFw5WsV*3JNUlNGy_kq}TB@hPt15vm%5VtJ@;i(mfmA?WoJ1YQAF9NXaOaOLm
z55U#A0Z1Pm01f2;tZzP!&%)y{dwd+>Cy!&K`*D17JdQOZjzd}DIFjo9aZccm%@O{X
z9q5lqoBaU?f6OrT$7*?h9IHQuD8VuOi8zL7CywE!+cC(@I)(!ykD*8L7y_I8V3gtq
z;S)dj1o^?v!w;(S{LnbY4_Rt{Nc?dWf~=#+dvz2)E*ypKzN47qd=$afM^UVM6qdcd
zxL)E5)la?%x#f#NzP@<9-WSWK`9g7+F9dSFIM?6<H=z$^NBRIEKA5=E2eylRu*lK}
zyS04~*6oeLVsGew^2YWsZ=@XchNY`F9?kTI*+_3h_wz=0`4O~*AHhQRBS;-{1Zz4E
zL*c_=2z?HV_S|7y>US8ovb^v))C*m!z2IQtg=bBNVE*zD;`SfHPTNDUl05{C)Ps<@
za1g3155mImAlw=b;N9~B7_$EWZrUEeIJpBTP1}!Km-b`->iyU}Y(G3&J#p%-Ct{Cy
zLSd#S+*LhMnZHl;S@%KHZ6DIc?!&E~y*U1DFOHqwi_j%|@l}5>B<uHJ*^51hKez`D
z)ApcJc@NIy@5bWWyJ5a%H}oxc!&q!LrX=mc&hxtvy=oWwo9;ru&z(^HxD$~9JF#}*
zPMGTLglzo|(Rr`~l1Fx6h~o|{(%OM*<=fHyXgjv<+l~&q?KrEv9a9TEpm@&%-*<Q*
zpFL12?}4tIZ5V!g8@6oQhB%vT7$>_8ud}wo>DE^K*|HT;)?0B}W-In)ZNctaTj0NS
z3m)5S!FSm$u*`8s=xukXZg<Bub_W#Q(U$LqsC#ZWzuOIdc5Vnzb;GUF%@97`Eb0k2
zV~xXRBn;RLyV_02c(n<;k8Z+<1)K28K%}>B#Fvj7k#Kq=%2sZKqS;0`_PF9&k}D*x
zxZ>buSIAns;=Y_Kmgl>`;DHOe_PL;Dh6}0(xS;d<1`LeafQ11YaKm{6dWUbo)~@wv
z7pzCXmG!W2Uyo*5j}J=gaie4%&PJ|7=#h1JF>f78hpfY(pKG!8+ghYwSc~Z!*CKV|
zT5M8S3$5Zc$bPa0;YZdWaQ+$`F<gV=9jit4a5YjwS3_~jYOI*F8ZoM?VNtaTZ(py%
z+<;Z+TD}UeN3Ft9u~k@?^&b}A`wvU@{|7gx{}7`8pJ@NAgj)PcYzbY7{4Fc7#C9cW
zG*-g@`wC2azXH8ME0D2n1>Rb&K%|0*mo7)fi{<F`Uyg|@mgAWDa#Tw$$D;gY$a%aB
z8-12RVaYOl9I*_(|D3Tj+Zi0;jPZw^frZXkJlq+F|1L#T=2A#LSc+9%OOdo-DP{~`
zitN8jurq533?i1G?C=sqE?R=15le7bOhmbh5&U>Dp7}0Dh4W$<nlHv4>BYz^S_Fp|
zi;x_!2>-2Kgnttj;f2y7?5SFaneP^2<e7ySylElyCodF@+Y7O<c>#`nTY!YC3!t-W
z0S-7WK;w`F*wQs0z3KCD?ZJFFdC!NU^L!MV&qtK(eB3LWhdXcQ;aTuJ2sh5dpULwu
zPJ14_+U6oJaV~7b<|1nUTufdt7r7(m;*jKASQO7e$E!I=JUvI$L(aj~$s*Dg$?da|
zm^2$5cV@%FYc>uonT=fY*_bRp8*eL}z#p8DdBF*LJ)B_b;Dm;uPI%Wl3!%BQ;QwqE
zd{4|0^{ulIK4}(&+Or_>(-G5C91(io5#2tHa9in!I!j0FR&#_(lLMmS9pDk>fboYM
zAh*;34Hgb4RB}N6_nD~vG828*XToIvOsrfq6SvG~;)lXaEU2A<*v~V7>oXAVIRmQ}
z&4ARH8HiGxfdk*C!{O_6nB1HWwS&{4uyi_9$4!Tk%5+R`oQ6FK)9~WXH1r;shD9r<
zA$sC8m}yPJ<MyerNu7$Ehf{I*_*9JFFcrUTry_CiRNU*f$C*5PoOorAkTdqUv&|k~
zXW64|xIIS7*kf0f9TH>hFye+CLJ!(OYndHxSlVH{rXBLyr{H+n6ij_G1<EI<pk~t)
z2&PX#w9yp2k(h$ma$Dqmv_;P~TZ}wti%rXH@xsa$a{X=L{%bOdGACo{^T{X=o{YWQ
zCPRDnWF(B73}1!GaIBvMy~IiAyEh4q$0nhA!z47=PeSj|Nzj#;glQFwL$QocHyO%D
z7;dW=nar3zm=P};;};YI4ex>AtAOo6;O}xE-Uhg;D{7^?37ZQE>)sJIULklMAY52Z
zh_NBG>k=$_Y~WR7gPiv^n0U<w_Yc`%=zlhdU>lI04GQ|KakR`D6JxE>b;}y@KGwLg
z&Kkb<*4SZWjV;pF*jYOfehCv1_Fy8C0w<!+Z6YQ)O+?_RiK4lCBBr!iAu_`XCNHh<
z@VphQ_gW!qsTDk}tzbIP3N^i!cwB0U!?BiFaoZC1ewMIuwS?tNOW2OE#9}2&>}i>R
zTj>*!`(gqHT$q6M`zGMsvI!W32?)@efPZ2W;8Qgo%JJiI@4<LDoE(qeTgT(+yz$sM
zZai%JkB3gzIP?~cL&L{$s0tg0TEB7lwQ(GjW{rdS=yCW@Z5%HA8jJkAu`qr=7G5{T
zqReM3oLt7@>&&s3W;PZXDr2$nrv>ElEJQPs1vcNXfT^zqe!5s7(ZK@uM_C|5%>qX|
z#=xgw3<6`u;A+?yygfDsC7Z{f-<&a+Id%+A_aB4eZgWg1Gsoqx=8%41jzg!+@prp9
z0v4NNu#GuB=$XSs(j3}#qmd&Vjcd<GW9!Aym~n74My?qRooS<?Hexh1R7OMp*C>oH
z7=?u&N8!+&QFt0K3XNMw!D8Vk_)Hvy!oj1!lB4jj&I|^rX1Mjz45p!G_;A<^&Ku0o
z=U|2>=4No!GQ;qmk@!_U5`y@Vc<^{6Le7qaujfd3tr`iRsUs0QVkGXVjzoOt2(%TC
zfZ^8>SRF9};lU&DYtINctsH?Tb|au|Is&IuMnJyP6v4%&(EDnNHxZ_A4l#w~K2yB?
z&lJ0-n!;wJDdg2nQSoOuzLX8e<M`pY`D8e*o*#}|2Ztka-EhP?3`fnF;ZW8dj>-Rq
zVSnu~d`KAvx!1$+-?d?Qe{>jzxDP|f0+G#T7y^e3gSz}M+-)<#<a`rUeKJAteG^O#
zHi5)G6C|!O!KLXY*f!b(bNZXWs?Qk1YmG59)fh%^jA4Gm7<T@~ShdX<zDtbpbdoWu
zO+>hgF*f}+!rL+<C?^_W>oX(dTsFcqA0xzUHo~L@Mo6$Rg0rC!ekdB@{4YaHDltTR
zoFN`Z8p7j}A#A)2(QmUM>gO9G#l{fPhK6{eWQd54p?Fd{6z>v-BJJ5wG=&a@+R>qy
zv}GuEEgp(zlZK*W*ihK14aKGIA^24_1j|x}ApXq|(TqC;QGr9iyM`cX<q)i%J_J4H
zLvT}P2xdtR!M`R0yw5ejkyrybJ~Y7K^9K0iWq_iM28f?;fG9G+3u6PkQZYbGmp)Rf
z^zl7KAF@&UFu$#j)u;4vaj!md*63r<EPc35&_}GkJ_al3!}pgST1)k?UZ97vmwH%t
zLl4aXdN{I64?3&#@NTBaHck)fdU~QhSWnc~4aS_(!5AbMjP{p<k#b`&o(B%bwcUde
zw0bZC90wzC!eE>+7>qE*!HDV{gxrcj=n)RW@Tfspd1nwV1r0*M{y{Kw8HC;Q20=)J
zFml)+oKYWyzP|&pvwk32vIk;E>_GH98i-Su2Eyp*Kz!Xc5Sy0|ME~gnkz_Ft#|96?
z4Ecdj?a)Pexh~!cb#Wm|7YFX@!Zkz}%MR&c;U--yTBM7Wwz_aP(}lOTF0M)G;!~Rr
z>Wg)tE6~A$*E$FZ(?QN@9Sk|3gWaw=NL`?V(UWy>VWbWuwRPYrrGuYs+SpT~jXr@k
zPQTHH;T>(n25V#eA#G7kXp5eaif}t^j5F89pMl!=DyNML9RsknasZst2EgLO01S>8
z0F{daAa`^CWVa7MzyAh6$8iA6tOj73(Ezxp4Zz91{)lSqkH-A|FplpJmzVwV=vIIH
zIo%(#4)#a*rv8v#(jV^j{gFRLWYg=9Z;JgfwMz?0wOUw`t%bVJTJU+Q1%vBaqUViT
z*zT!?p{`meT&RW1Q?#(sTnobnYvGTA7SjG`;&H7eg0nT@`9%|(o@rv$4NWXRrHPdX
zG_hfmCU!2-g#T1c+#0KiSOZPeDr-XhuLh<zYT!_ThA8hf(DzycGw*8P@>vbEcx%AX
zLj#Zh(}1Rv27GNa&^cTK+XrZ%O<Dtcf2l*FN*(7j)L|B@4nd?kwp>?-)+u#-JD`sJ
zo7FMiSsfkI)$x9UI*uEuW0{6JEF{#S+^&Z9GBp&YszDH=hM31{czabuCq(joH6(6Q
zL%~utv`trolBF6(8>?Z7rW%e)s^QHKRnZKsicuM=qWn_DyQiv<zp08<L8^%IQib+b
zRd}sbMcph_EF)E<jZnobT~!F>Rk5&31!Z+A*paUSxkMF&zg5AE`zmO?sDf+$DwwlZ
z1v0KG__|mH{?kPI1QiT27U7yINRSfw|58RkwKBG6D`V9+Wz2u249C05n0a0qv;35?
zaJMqnZcxVVManoeRT&S*D<j2786BF+7%Hud#U1@{x~3nJa{56jz8@C7>4&g;{qXZ*
zKR6!mhkN__L2gq&csTb%(ae5uvhIg3rv1RW{qRwtAEx#wA+1pftBaNJOQ?jP7$uB~
zR6@oLB^(G=!f<aT6mM6;g|$jpxIhX0?UhhEP6>~Ul;EYMghet+81q{ZYITbEov(;W
zfg&>BDI(#KB0gVJMC@rrd_Am)WDiB;uTez9d_{=cD`N0?MNBeQ#D@Ng2$ogEr#}k#
zS+4-IA_dV*t$-&n3h0PbfZZ(xoIj(0244kC+pU0b7X?x8sDRxw6;NrdfW;#fkTOUC
zj>-y1{wI(5?eZwDl*g8Ad5Fc!BlN92tRm!5a77;8r{rOFSRN%F@;JLz9!?A8p*T$*
zsh0A%I9wj<bmcKlNgncja;R#R!<Py<+{=<fP@EhNzLmq42sx~~Du@40%VFgaIjq?s
zhfV9{uxGIx{AbAFnzbC>jFdypU^)Czk%NJR9Grg1!mCymFY;y4lq8E0F|yeDR2Hwo
zWFdB57W4dN5$-7~>ak?8;y+o$%$0?qoh*XJ%i^zzEOzL~qFzxJE`2hnZIgj}l?;C6
z$iO#I2Ac0>@bHNYrrnZ3^;sDlKPCfnPZ<=s$>8LFGO(Q|gDyK6yqO>a&*3tdG*AX|
z$}-3mlR?B!X?WL4V?}{9Y=qL#`y>sS7t;7~R~nU<q>+0<8fjkA5N?-7%6e&JE|Er&
zgEZ<PEjov!p=KzJk^QCNATJH~UMZYumBNQgDKzFtK~Ers#UG>)@>B|Gx22$dQ3}ff
zrEvF<6n=V0Va9qX+*~4s9tSC`U@3eWBZXl`QaCq23X+Oa*w-hC)^<s_*GP)$og_Sj
zlKA~e5=UQ3LgT(9?q89_<RD2D`AFj69!cnLmPEozN$i>@3B#$9$hDHh>5-C{sV@mx
z4M`-)Na9Sl1Xi|4U}U8P`f?<YBapz;7zvzyE&-2l2`mnk5d9w@fl)pZ(BC5g&CL>`
zIxHc2UM?ZZ5ecYTOF(Co1dNABV1kx}=zB|G?O$<twTt6gjW|9Ph@&<|9BN<0G5L)+
zc03fv{Tt$_I4cgl<KkF-P#kwX#L=`~921?z5#S__Vq0;Hn;?!LQ*ks87ROw5alDoh
zhklP3PPK~RZ<QE!=8K_0C<fQhVyJyBhRqMfME@^{;lMdD$OVYu${{hB?+`<xix^y%
zi$Qv>7$WS&FmIw5ddx)f5HYOiF9tP5F`WPRkNVaBqtluHNbAEtx*PtFY=Zw$p65S0
zxb7dBIQ^si3IFJf{y&;8|BtkP_EBwdAH9$7qf5{F=)jde+Thnmi?{XBZ0A0jW!FdZ
z%=&0$|32~%>!ZMizw|KsFJ*rGOX3lK$@1J^+UfO|UT^$M|K|UtdH72YO#YIL+Fx?-
z>7~4yUUE$DrLXUL$v(W7l7f55`9Lo<ZRn-rb9>3urk65|ddXX*mn^$`=tp%Ay-w?)
zBky`>Zg>xwg!GW)!5;eV(nFc^dgv?l(0h{}idO5PkG<U__})!Lnceg=rkm6wy2<K%
zH?2R?O&8p{DRpr-^_$X73(dOe=74VcA<<2<TDs^_K^LjTb&=PzE^52lMVpUzQQgii
z+P12Tx*fXc^n@-l8PY{@N?qjs=MN32{zHPaKjicN582-TL(=E|Q2OCNbldF@9a!>*
zobCP)M*pE<x_?Mp<`1d-_)SWszey$OH|f0jO{TYh)8wGvwBo>T@^bx6;R}9K)}-Gg
zH}W^x5BN=flD{drwUe}qJIOt<lfJ#`B*U;y3OL<KKlgXi2G>q1TF^<(lSO=FC%I^M
zQioJ0ooMeM<I)a_PwJqpZ#zi$ZU?1=bdbMS2TgP9AcdtJlw;pP_r`RP*WeCXuFygJ
z`xlv1|02zdUnKYO7fC!4(Pfc*Ok~^ni;P$QB2hu3W!AswkjXC!*Z4(QV!ueX<tI%k
z`bj>CKPmq8Pg1+{lh%d&q-d|7q~-pT_BsEgvS~kQ_PC!EYw(k-m48xH&ksWV4~ozI
zK}){<pvLDv$p7XKGCBQ&ga>|*=cXTIy5t9y+y9_z7C&f}z6k60gMN0mQ+!=J-N<dH
zL*LqI^^10zd8?f)gW74tp>{HKYp0>k?PM~&oyLrBr^!RxX_0C>ZR=~Jpr$r@S=dIU
ziEX6(woR0CZFKlt8-4U?BdP6eG<Q`S-EwN9PMbEGZ`wvL2DFLpSsNYw)k?oATgfe>
zm1;h<l51ouHC=0^eJ5K<?m#Qu*wjkaOIxX6S}PqH-%2A4Td7d3m4d}u$+5MC6iQnt
zP1r)A?^|f|!xowp+Ctg^E%bYD3l+JvP~4&xdS%~255~4o*pL>wsoFxf|25O2mS&1B
zX(pktnX2D6llY@%GQ84Ej)Bdz*Rz@KZ)~QLCC#KWy_uFzXr^06&D5yTOeEP%AwQa^
zp`wW#GMeZ~Y!mf=)<k|co9K5?6L}nNqNc4)wC%qp>TqfzA2gA=Sra`N*hKb<O;pw0
zNXHu*X-r`wl?oc^OmrhTL^P62Xd@*CG*Yl<BdyrfNM_EBBtEl|imV#x-LOWwF+g;k
zY$NUY-9Q_^H_)oQ23nrbKr7xh(AxVAwB=F*9X#GZ!TTEM!NvxPU)n%*Ga5)`Vgu1|
z5w6`pVR8*r^rxP5>+5M%K|S3Q)YH%CdYbmIo~~Z0r_K}gwB%qty>qW8!<F@P#;Kkp
zxt<P;5@CbuX|HlU_4L)zvDP}$D6gY?>2<`P>!{#)9UZt`NBZaLNN}`{_U*2t5iWI9
zxwwvQOs}KWR&``FypCG5>*#}g9R+uPC)dXBWLNy1hNgTc*^l3;E%G~+-uzDKA>S#%
z=R1AbDWdh?DSpv+N}KkbiY>oW%dqbxrSqNi6uuMp)Y6)!S_&wsrB|u7qTHz^-RHHm
z@OCYoIaf<rezl~tx0W_+tfiOEwIu6UORK4t-ka6ZAiY}hQK_W{v08HeQA0^pHDsGp
zBdWzUWD`|GF%dO1^=b{JpQ@oXhimAUM-81`TSFrj)==`)8rp7IL%PFjC{d?|4k*^p
zn7`H3*iuao%d2T?W;KofR!#q2S5w;kYPu6zO$Sd_(^9W$vht{=forQtYGF0CPpzg(
z%WBFSUQOw`)s&(n^6#snoVF?|tE{5t>?-;fUqxEcRb>9Cie_K0B9GuIy5LhqvAe3M
z)ul?b7prKQV-=l86=jXCqW(jw=s%4rdLUgzzkgSfV?!l{6<1PkY9+1sTuC2aR+90(
zN(#ALN&ik%iq4Nps`sd*4eKhYYEdP*&Zwkj>q_!8t0Y<dO1h#}NfuI-B<!pp_xcJ_
zF0K&$))lnsa|J2As-TbeDrk3T1&uycK~0A%C~}8L-%vr5mR69WV+9qXf}WdK(21cH
zv{9>qX3AC2sGf4tYAGl2igIetDyN$Gaw>@~r~Jp|ly|e73eT2P#j$c~@+_xr_i|EN
zT~0$6loO_v)AEVsbZ}%j-O?*3fm%6rN|lqzpE6qBSVm_{%P1wIjFjTaXl_&)U3^qV
z<u}S`^w~1<K2}CKo+5cm8J%2RMokOKXx{WPin1;vqfupa&Y+BBG|R|Kwv2vvm(re=
zQtGTIrGq)8Bqb=NkPoF~@T`<x-6^G6mrAMjL@D_lE+vzlr6hC_`7bM_p|eXV)3%iS
z$CnZhFQq>NOX;mjDeadmrOCfbNUpJja!N}mJhO!M$CuE&cO^73vV`Psmr&z{63PfH
zp?6*-bbm()U2-X*lgmoTcXkOKno>dsCX~=Y(-QI?TtWeAC3If8gzj_|)0^gE5>^yb
zZB8*sCKZ#>$6}iKqL@7H71Na~#grISOx?c4WWKMMHo6znoz=xuxv-dwXBLw?is{vu
zViGqlrujO>6yC3xdc})rNoNtgYA7PDvLf1_RYVmDMdb9Mh~7ObBD3%!3JWbFouDGR
z;9EqR`-<qIdl3y<Q$*p5ipavDh(2=>EgD-y4JJi&bYKw~s1{MIR1vN3DkO!LLV8tM
zNNe*7NljQtaj}JT=yf4kJ}ji4H$>RELh=kKq{&`|B)_wea$O7Q{)$36IIoZvOe-Wa
z8_^o(h16(RNNL)I^rl}S-I6Gz)4vPoa8m*8tSF$(xdpU7xq#Nhis*F#ZFpEf?l%i)
z&-nuK4J@FuhYKitR{_1>R6sfZ70{0b1*AT+fF^JOtr%NCe!~jr*`NX{Q!5}f*#er;
zn@`^D`ShVSpL&Y&i8J!aH$I<|-sh9n^L$!=FP~mr%_q4t`Lx<UpP~=uQ~w?LwAVGC
z3RdKk?fiUtI6a>RAfJv~<WsjvK5ZYAPxWf~<RY6-)xCM-`Xi4Tzvt1el053m%%f9@
zc{KQA9zB1VM>8VwM0uP?htB8Gz!P~Cb0m+}?a3nr_dI&NCXd!H$s<jtJW8CBM@Ovk
z$a+*Bbq>v=H`;l$UpbE^OXZPlcP?eN=F+X2T-s5TOVcuPX;4Bgb$-aDtQWcT@<A?L
zxRFZ-&gas)6S*|oJC|s0E}3n~C4+UjG{8BRROjT9($rj1w8^D@V{%E|B$spt<&u$l
zE?LOs(v-d&TJ$T2+!}Jow>*cg=jPCRVGb34$sw`m95Q*DBkC)2=-|~HdU!@;Kb}LX
zhjVDg?i})Q%b|~Ja_H}p9GW~khy3hwNNAly1IFag29q3mH7JK<HF9XByh#3+O)8z)
zw6!UlQYy1)OhGnXOv|Q!aoObdA)E4FWQ)$zZ2E9Bo5o(urbnl;$>eA@-QAx}#@n;$
zfonF6{x6%}F3cu-$85^5&8Br$+0;2In@$;td<JGytXej$k`t}jmqoWbvS?;g7PVJq
z(Y1msQBR#kJ@Hu-8IwgDUS-jsM_H5?mPHpXXVK!|EYkMRqLM>dq8!Vj?QU7bYqO}I
za~74&$)Z=&vgj1D$aP#6*^kJgp+mArN;`|{l(Q&JI*X!vGb#LMCY^7{q+=DCv_C(S
zJkm00Q+y_^kIAI9uSE1HlQ!JWq|Kq3v?C-_bmnJLz~M}~yeE?$Zpoxi>oX~Lc_y{Z
z&m<*>Od4sMNlsRow0(3YT{O<5kApI)UL%wGD`wJkiA?hB%AhB08C3l}gY?QWXnAf1
zg{EXs;Wv@~A%ix&%%H~)Gw63%22Bmkpz|RaRC_#w=tu^g-J3y;TQg{eO9q9n%pjRX
z8MJv;2Bq0$kd;jag;`{fvS|i+8DvoFfDBr%l0gMB8ML4;ol-i|$+0<|lB(0msW_c7
zveL;pIh`uLq|?@S>D2Q)olZuilU`Uly}T^)4N0f!<LTsmL}c5SPM@}=(>m95l3kTf
zPZy`tvf1e*JuRJHA)Q>tr<1l>I;9$>lmEbUveihZzY6K}K_Z>Jy3=UNk2I2PNTalh
zGzu+9BiD>HnjlCcna^od7?noPo~2R1gEU%qD~%>!P9wdLH2QZujVh0%QQ|%k?vX}U
zHl~sP>NMK3RCN8^G+H(zjpj^Fqv=*@WNV&A7?wsh`XU;TMy!%XcCu;Y@Gq4X{7$7+
zt*Nx-dnz3&OQoQ^RJxs(O3?|al=&%@n%}09!n0H|eUM7CZl#jP<y5*5l1ecFsr21D
zl{EIJlHHC}+O;{A?yXIwqGhS1zCh&bm`ca(QYp?Rm88d|(u|R*bkZ=DG6trSj%F%t
zP)eoeQmG{NH-+YRq|n{w6zZx;p?Re#6p@=k(rGEQJ|Ts^eo7(Zs1yo(mO`x$QfO&d
z3VjYup;2d3=<10SQaYMKM-HaYuU#qRz9ogKH>A+&|5B)UaSE-NBjVFV`ec#aN`#LQ
z`3)EO4@seZx+!#BJ%!8_MKL5(Xj!k2+J6b@WV4Wl)e0%DR7fs)LXu4v(xXHn&HpT<
zu4p0Mc_E~^kA(F1j*y;Q6VmDnLedBllE7a`K1YN^o<jP)T}ZDt3u(_fAz7^uQqMvm
zeRdL3;4~pEoFpWDD<L(T3n^x}kb;K@X}zwHtTlwBrX-|BDIq2NO{Vb9WKmz6OdIQx
zX;wutSrjIdPF6BW3X`ezTQU{LBvbO6Wcu(lnVvpKrn_OuqMkXK&Yw%B;8V$T>R2+J
zJS^h-MEZ7-eX|H(mrQq7B-4{c$rL?1nG&WaQ{Locs-Kule=U+pV`MUoG)ksvgOh1Z
z|77w~Nv3OZ$rK}=Oy%84B>gLi%$k#EacvTLmnG5T{3I&ONFs&gB*M2O+8&cc_ueE?
z>C+?{5RpU+ZYNRj)g($ipF}D_BK>$0UGh$%lKn|!yeo-3wj|Memn4#3okYu=lj!06
zB>L+p@|&7O5u8L4R!OvSOcF(zCQ*OGB-%SDiSo5Xu~d>ovqKWeNhHyZ9sw2q5|BfS
zfZl!=(69;tg%%2^U$%gJQv}o%FQA>V0&0#HklRZE)jbx_rh5WvxGA7*p#u7ORzL?%
z2}sgkKtV?YG;qIwB6bSMdW(RPT?DjxwSay(3+Utm0U0?7=+iU-t(YuYccLiHSOM9X
z38=(a6iZ(~raA)3P#4faCDG@Q5m3&*MDpuOqzOM0sjexJuGJ>eg7QRCC`_bpS&4Kc
zC6SPjNIkKM^!{BUdA&-cDUpdJ^B|E@!V>A?)kIo*A(2J}i+lnSDcM)F#-T*=*qcaG
zw<nUWTO$2fpGd<066yX@QLOoiw0>41*-uL(<H?C6Z=FajV-qRIERjB%B+>(eL^`jV
zNWPkhv_m<O*2yK(Vu?g@=uM!>oe5;wmO$nW2{fWQflNvh$S7Y#nF(YpOrYWM31k+V
zKx5w}kj<+EvX4xlIS&$O#q9*zd@X_YUreAAAqjN-L;}6=OQ6KV2~_TxKwUc%NONlf
zS!_(8xoZ>1V?_dmEKZ=8a}y}vA%XhrMX@G{u!#wDU~B^2GfSXslLV3)l0Xv%CeS9W
z1iGe@K$-FhBrlafc75^W^(UU9f5g-8rg*aa9#8u!M0!y?{mqFdyYzSpOp2$>Z}Bwf
zQ#@^oj;Gfz<4Gzqo)$fbr+c^Ksq0!i&AAj$chAIA@5y*t>>p3hyyHpfU_80)i6?<a
zJdJRRr_&qaseM&EEnOB*9~Z{cusQK`W~L~Poyd>lslY0p9LC0rX1I77JuIH?42dV5
zK_Z|2@uZ*@PsbGFNn9qLj)=umUw0fG?ua9?wm3T45Jz$~aTHV*NBs-q=w@~tjYx~5
zH-b2t`Yn#KKE~08=s4<p8Am4~<48Y3gx!gwIXB|y`{g+DJr_rML2>jUAdXfXjiX+#
zIJ)5(M|QhJ_|`c39|rC*OpYcB!*Fcd*x20YO}1m(#>Td7+qSiX9?#A)wr%T+jqmw!
zU%NBYU3Kczsp{F8P8RozRdCN(-Rlyo`R)0=RjeL2iPehw98)V+pR2`cZ>3muE*GnG
zC1Z7}FfrweRkd8P`jLgc(#L9aD$Ywv4Dn;-{u`soKVnqtbBvPx7o$rrW3=f>jQZY>
zQTbajigz_e7thCN$Eg^Nij7hIh#2Mc#^{q7qtjtA+I28SQ}@KE)Akru+7zSAYh(0n
zd5mr>ijjA2jJD2*(d@}F8Z<6Otw+WvWJrvP^p8=-UNMT_Ek++Z#OP7$7+q-=qvH)@
z<f{`SYxNlI7kySBmNGF~TRcXq3dLweP>h!6<YyKhr|0=pyq=Wf5^(&#Xjy+o%l9Q(
z$KOZm%Ij!7dKRq@52F?DZnQGoh*qJ?(W-hbS}jjTtA9+irU#<6(Gx9)8LdlU(RzO{
zTB-L&tJIEYwb&f3QR||$Ze_ImOQQ8;eza1|j#lurXmy_$twm#^<sKfb7lWderC+of
z^o-WTuF*Q$fn!@oD_e8gXcVmlb)ywiBU=Be(s!k3O(@5CC8PDDNVHTST2t~wD=K@m
z5@(K9({#~VlQLTOlSHdXf@qEY7p175QA+bQO5Hw0DeO&@;=PDco5xYwe=kb^Zbqr?
z)hHdg5T(Rtq7-^OO5ssa${rr2@$M+yv`48*Sd=y$<k&q?yqAm8sm)O;vp!1eSJBq8
zC=Fi7adV<ncSe-#lcSV>e3Vv?qP<~JnlLa*@A`0FXq0YuiBhW$Q99F_W1ACKqbM2m
zqU5g`rK%xO@>PyfNN|)QOGl|rar!9~rRMpfbR$=kdSr{z>x@wvla@YHMrmo1DCJ5(
z-2WnF{EF1YuaWBYF;YL?Mr!HHNELh<sqhDpYIi46AFfAg@#RR?P^3<rid5fYkxCpD
zseS%PHF8JlKYOHBg+;2$p-4U48>#s_BUN^5r0#Cu_cf8Kup&}V7DsC3{7BWB9jVXL
zBDHr?q&kg@RGLwdIyN*?lLtmBxNoH1g+^+B*GTp57^$GPk$TV~Qd^rus#}9d<*5^?
zN7W;>r)s1IR*F=a@{#&pDpC=}=%-MmTIGvWuH2D&oh?%COp%(GE>i7NMXE@$Nc~C}
zsdI57wc}5O#{P&<lP?h}@F7Bf-$dxfiwN1CL}=-Q2o1Uup@ugiROCv8l3s|=tJ4uW
zdptsx=m@O|L}-#XLOq=kYGjL0`J)lab&%usM(E3q2tC>op$i)#6j&3XuoV&7u_QvP
z7er|OoCr;s5us62A~bLU=Z}d{=MfQVJ0wCa1`tah`V5Uw{jL$J*O8xXdEAocoAP=?
zj;qV@H90SY^Q+KK1==f1yCrGADE$<qzaaX}6`}LlBJ?0rgg&N=P{Py^%9=bvB@;)e
zcKir+`WMisUjZ%o7SR4r0mc3o(4*G@#d#4>?k52m4+83bC!iTO0@{5gppzE@dUqzE
z3?~CpY(PCD16t${$l(s?p&3w0Yd}?w1k~?9Kx_8|bbLoZ-?s!*bYnnW)&}@oE}&ye
z16%_FDmO2nfwKbIH7%fflLE>*KA<+E16naWpbLWoN<AQ;W_<!$78=l{t^sB26i|nD
z0c~j&(355X6>A*O$oc{KY6q04MnEm91+=+xK(B%Ws#G?hIVA(SS~Q>ng#sFrFQ5~-
z1InHwprKg;ipdaAwzL5aPsx~)1{9Piph@upy8bs@<$i^0*|%`L`xLGw@56QYO}J9M
z4A-!y;kx`VTovzyYtyZ8#l0S`zL&#w?tHi^oC(*~6X8l48?I52;d<cbTu->Xj&K#V
zg=@pna3wz!uF3nt^?p~ldTkHajm;dhAzaaG!c}EuxU5UVRcukXcFzk}p4s#<JzQC*
zglp}DaAg`Bt~DdWm3dgW)(r|*w*KMT+&f%(L&LSFYq*Mc3YV>2xYRmaG0nr(v`M&b
zHlUxn^jDL94f?N29F>SCn7GQ&cS+(bO1y=_l_Wpy<zehO!*wcaxI#09>sPvPtxg@T
z(ka4qCP}#ZB@9=>c;VXl*RPtt{Cf1w&u903){I{#-ugA@m0xL|`(-}%tJ4EN`@3HU
zZu-^gnqPk|`L*vnzn}5z-wD4C#roAT%CDpWzuaEG2DtpnZu)iB;@7kzew9Dy*UP<r
zZQbQp+wFd(+Tz!-4Sr2s>sRGfetll%SJ+~|1~2fd=v=>E%=ByTG{5>z_N(v&zg~^;
z>+ndwh7F^w!G8Vd?^mFYUvql;)wH``nY#FOzk^@<+xj)Cm0#7H`<1eZU$+_%XI;O>
z*7B=fb-%Jyqpiw*`6~Few47f(OZ!!+1o0I0>uEur&*#^wJj9Wc<Fok{l-aMp>1ij8
zU(S?%txiV!iT!GwfH>m%mGQ5S&li2V_06a7&pz$^;M2T!J`H*8Q=1n)ReS1F!ACx&
zzVFkI+de(H;nRhyKKU>Cbl|*C>(2Nz_oPo_kNMOu+NTZ?J~i_D6youztkb7LcAs)s
zd`fr3r=$mcio1_?cKP&iyH9Vn`1E|EPmkC6bbqx^cUBO`QlD-v!hFo(@l2kd#_N-P
zdNjeOXJdVOJ<6vK!+rWb#HW7)eM;Qlr!;+h%GT4T{M~&j)x{@u^r?P3#?acQo-KSD
z(bT6IjeJ^J-=|%5d~($E>7?P)-Kw-z*{4JmiL<;<<;wWfu%u6+#eAAr*r(M6d^#HB
z)2ZC_ox`X2*?h{Anek=tsY_a)Ca3agb8>Q*#HR-dc|AV)ibETJyc+t`tJUAU@_zQ}
z(FZT@o4hLb#;eXRy_)mPE6ZcA?mqA;={>J1-1e&14X;*Q^(yj`S0B!M`5wZnR;Rq0
zecUToj8|_Wy~-2ts*TU9g>H^>c=g@pRcVV?{f~IH<Dge}_IZ_gk5?^sdbMPmSEo1A
z{zk9rt)tJ?UL9NERib4)UhLKU1zw$*>s9L6^fSY&byJCFl2`dAcr{?GSJqKp{T%L9
zt)X5m9^}>a{>0SRt0BF-^7Qa3aW`V=?A5LgUVUoIajm^t)xxW%O}(nv*sBE%Xs@nU
zWopxR4Pp!Ns%%yIt?bpq3SLz%&v?r)u99BWE$-F!B3}I|=v9aOUODo5l_9rRBXW3k
zF)M9k_G)<suRf;rs&#6woGHA@mdvXuiM@K9z^nT4yu45FDB~ZGCjIp2$u|$zPmdfQ
zJ<9Xm!{78CeSPIo=nId|KlP~UV-Merc$D>?NAqrb^!<j1&uKlnb=jlF7d;A`^Qi0@
z58p?5l>N9z%VIoA6h+$sk3RW48tC!pvD2f@rbpMT9yJg1==5Qa>K*hbdY?zt_jnY(
zlYX{)<lW+tHt};kkJs}2Dqdf~aZ5d_yV#>s3p{Ez&!a1|J?c2qqleQx>Nmxs_Y*xD
zKi;EwV?A0l%A-spJla0gqY{HXau49#ew@>rG4=H5LwAp+cl9W3XODJt@Tgon58pF-
z)V`%hubX)^wTVX=8hNz8zDGt~58nlQG^mD02@H=mRrM&i3VEqW4uW~EoJU(r6LU$A
zZWQxqbP<oz7xKuGpK%5eS8no=)1xxkJ-VEQ*E4yPB?IG2>ruDVoS%|@k};+v9(_qj
z`|&-h9oM5bf8ARB+pUnFZoT;C*2*vZ{>iOZ@7-GS&aGN+-1_j+t*y`9YWmczKabox
z{J^cQ_uNW-$F0blZjHR|R>7-o-MZw~k_()3&aLmK-8yp8t=`Ao$`R|<l_<9sMYvTb
z+^xS}w_I+{bGlX1q%W&md&1o6dBm-}hupfq->ofs-RiR2t(-gEy1R|XTioit$*rIb
zZarP=*1pwl4O;0|>E&*HS>l#=kz3OjxK)21am{h-`b=V;?pD94Zk3(v*6#^!9UtfB
zvq)ke<yO%VZhaf-R_tKLJkYJs{%-yjb}Mdgw=RadwWGURqq@3Px3gPWJG%9zom&xY
z+*;Mjt^O^@Q8TwPG;!;7L${*pyS1UNTO(?_xgW!={M8v_HMjVbU$)9_Ev@L*z+hr4
z=T?C-ZpAO<*2ChoSCkkFyEV0-Tix=zRXvFD<#8)PF1Ma%cXN#;hna~vqg!LsyVW_Z
zTQyU=RX8PMOzzg#ByQbH#JCc;6&8;e;<z>IuS-LJyVUWgOLf1yRQ9V&xj(y<;-gDH
z|8wcZTbHiCcIntlmmJSs+WXX{b&p+I@X*EQjGTMdrO?|hwY}+5!|N^?S6wQ9*`=Zv
zxtsO8OPSBQl<KrgiB7uo_n1rHVqAJ3<<hGNm!5>Xbl>OFZ4Z68T)N_L>7w1G^H!J6
zhPia+h)bsr;Q;pWcn{C-;`JRIw~gbsaNZ`)-#|O-Xm5>6FITzr-wKz$EOY7i5|`pH
zb}9Knm(tI7DaTxw3e0w?)J&HuPj{*IRF|4fcB#`um->!(Y1CMkrjK@M=}4D04|nO%
zP?x-e>3bl3^mpk^Uzh&$b}4l)7w?f6XLpzCb>;ld<e{TWv)a3~zO73~Te}q7(xp4i
zUHa6N{+qazuaQet8@SY_9>>;kX?`u2cGYkxV9<6o@*<ZqRB@?HC6}63aA{C^a$MG>
z{iR(xQIdHm?&AIumx>f2&xLrsfJ;mAxn#*p9&)?%JtyPK;ZlukF7?Uc(xOZ*Su?nF
zGo4Fu(z;YQwM)%Yx->4iOWTvWbSkk+pA)+H+svf~@fdp?m$v<N>dbGae*AQ*;18!-
ze{*Wa7pE+roO<xVsnqYCGTu2g^o>*7UO9E~g;VjLI~DxYseX^0+W63^^Y?k~o>P_X
zI5qf|Q#)=rb>o^-sjfOz=dx3iE;?mD@6?;KPCk!vs_QAI)}3(b(lICBu{u>Rnm!|)
z3J*B-)9+M8pHrhePFY<}y>~cO%5-Xo&8fo{r`{fQs>Bf<A9CvG0jECfbE@24r^f7d
z%DvO6-`kz4zRjswTbw$%i5NCAru9y3SnJfo)lL;&#aLE2<y_{}za>u9U+mQKg-+d`
zPi*seZH`l(SxzOK=~Rp9PHmp*)T_zFG>JAR5c4>v@{HxU(ZoBF_D3+DVZ<`TsW^i<
zXP{F%`#bfeFKzcBKfRp#FVv}8J)BzGjU04wszzsi@5or%^L#sEYr{BNIn|)0Q`?)9
zgQiZkYU0$PMouMa=v4RmPI>D(m8p(XBWgKyu7*=Zt2;F}#HlA$ovJD3rm|CiD>~Js
zf>XZoPUR>^-pe?3x0F*MC7s$@+^M+5oa$M`sbhtlDpJtNcU0szi2URwce$O)mCLD_
zIh=Z#&8cQtopNM$DrY9foq@R1aa>xb{HdvvR8B2RL7d5)>XnrFPwZ5cL{9BV;8eQ!
zPECpH)a!o^wg2nTvEL4r|K-q*9}cDc?$ETa4!!^EQ1?#`UHITojrR^&-#L{3twU>G
zJCx*=Lla*(^zNBMp-&yU_Sm6@j~og-pq={;?Z4|#?mG^xzU5Ggn-0yq?$FPx4vo0t
z(5p)h^}OiNo%0U0Ip^SB9)}v7b|~hgL&gb*JjWcW5KDj24wZ~@=wO6Hg#!-l@zcML
z7(EW<bvv}p=};aAKkfXqIkes4P*9jdJC8V2;IKn`4?0xzfJ2A(IaGSDL-yScRodl{
zZwKSq&X~74)Od?Smo|}ujSk&k?@*t04!vFD(CF0;{aNYIoD~kGUhdGkrL?`op+k#^
zZJ|Sv^Er2(LpSC))N3}mn(5Hw84e|z?$Fw)^gqQR+a&s#NdCq<)NPzY|BZ2I>S)><
zMa&}{Dl^=nsG$zE9^%lmK@N={NUjDrw6&i@<@!2wythN0deL^ML$iB0l&!l%VO<@n
z+lAb9a%f~n`s+YG+BsCEE#qkI(7;v>C1~l;=H?DnZ069#COp^Jp+t?yPXmXl)+gq=
z4vnhAJlA&UNKJ<t)o|#g;h;{5yBhN#=BJ87@ha1HMTcruaOhEa=CB<3FY8cjX@~lj
zawus@=BBtqO^Z47p@>7P3X|VL#8$we>G>Thn9rfpc^w*_$Dz!*9rEWSS2-L?o}IbP
z>QKil^pV-20~sA^mBFFk=^Waf)}dx;9Qu)pc}z*$Dfm5^L%WhX)I15tByw=C3w4u#
zbK^U7G_FHk;?U+lQ|>>e`u#SQ`Io6<KTM7JZmQrnQ`f$jn)}&QrB9|_elWH1y{RVu
znfmwEl=Y3N-mgt%d1dO%3scjcn=1c|<DQt>^4L_XN2ZcKG!?jSYV<u*#qXMWeB0E9
zTc%pxG?nazsi<ov_l<Dg6;p37nc92NRF4a$vY)5#v!<4xG1d6Asl=yDMV~M=^|&c+
z?9=xcQ)aZO5mBZ}N1A#UFm)*0)Ih(fqCR5qnA-0))!${Rh||<7)6_w`sX;bVC9S63
zhY|l#Q=^WUs(9Gc&x5A?2TV=hZ>r8d;@)fO+-_4VcbRIx(^Re<rk-pwbzrNh;akYZ
zW^%BRTx~G5WWA}j>o{huspqRrg{?9*ex<2eD@>(aZtD6{lh3kD4PMN7i%i8|XzKiY
zayidb-?@x^j;Xk_>2Ic~O*2dln9gz2OeLCX>gr@uyC#_$Ig$1zn0%i}4#%3Zk1;iS
zH2sb;RcNHCAHz+Z9%gFuP*cN(aO_}HnFcZL0j9$Hn_AJ&RG+@&u8*lSy-hvsY04W)
zetQr@cT*wVOl9n9>P=_z+=<va(q{)#joO>a-_F#ZHq1wBQ%75wn%~mo?^aXQnlty!
zOnquX?2XBHBVuaE{59aU`lhngGxe>GsVlWjS!$VDT9X{qpv~&ckwK0_OueXT>bRKq
zD%4qJVyR@RensZ20`(DW>UB9&XUo!W8DcHXe3dfQuB53dB~0ZkPTq<!mLjH37B+RH
z5c5^g)VKnsy5uJZ`DiD|RO-B@zUDS{H<ziHoYX-Mj>}HnWn&y!i6;wlkeT)}k@Jky
zMtW1X(s68B+Dv0=eQHy)Qkfc>(p1M3rs^g)RW=#(ozztFB-COeVn}G}QUX&E@i`|R
z^BC9Ef;iN{KfC(<wX5A9JNL%eRq>Zyg?`$V`G;LezT5TVt6i_Y*me7}U1vYp75HeE
z<%3;2-`ln3KfC6?vun~@yN127tJiD0+P|`^@k_gEys-1#l3m4~*_G$1U74QPmEy5o
z@gCXr{efNo-M8!6J-hDSwd=|qyUyIUE9RD6zMFQLH|#oc-LAdY?AmtKt_@f0T6Nj3
zC70})chRny7wnpH-mdZI>>72JzR%b-=rrRvMGPnH>T$xZuE*`_bc}dn?c6hKSL<lI
zT1MH`JkqXa5q32V*wrMQSpD$93lH2p@8WeQ$2mCO<UBj)+i1s1dluRaqy3}wbA<j5
z)9)erKS&%0h-W`>?IXUu#JPufcN6z6;@`<Qb}*jpjB6X?+sZh%Fy76KdlTc|NFFxW
zb!WX@PuJP?ZmnJ4*4PyX$yVEyVU=CER@zl~g<a*A+ZD3Rt_DkqYl&Um7t{YDyT&cF
zYt{n0md&?o^E|r_%(crohxTXNb!nDe4`$Nt47+|$w<|faO|z@WRJ$rov8(=M#x{wu
zOr)I&%<FjK9cS0UvBWrrxgTxU{ZV#(7-?60WE?>(!|l>Aay67(46$qUV9pyv-vg<U
z0d~dqx9e6v=DM$436QmqU8Q>4Ri_s@>}l8VQ1a8muC3kea&)7Qu68}?LVTSWFN$}v
zt9D1bx^%E>OnbYQwzF$rTf3s#kf+vmeQjk|8We3wn=QygbGs%sqb{4;Wo=?-%~QLL
z>|7u13TkMV(ZH_G^_ib~98=fM{X68Pwq5UQ*_8^#YudS9+BKj$<1pwe#LoY&ZD$W)
zEugT-Qx&`VSGH?GC2~`dd8<H9gNXxW%QGM4h_$R;>&uY0(&VfZHIITN?P^%Ut|7(k
zT2YMg7G+HpVSZ7dFs~J|YiL0`pPAX^&2QJke0C*9$soJh<YkTJVa?^X>r^hgKIUZZ
zP%{UyW~aSuoRgK@Ww9$IDrB~+TPDVk(JosC)>wMlLfLfWGA%hz!}F=_x|fRDLWPue
zg{GiRliTG<X4mti<R3MX5N~3;HYT#`WJ2mO0kNW0e7mN{vnwnv<BLP?Q0<>hga6vJ
z`HxL!f7|rumyLTvZR+~drlmh@iui8Rhi^6oq4igr=6tcq_1UIZpKQv3W*=>u@xdnZ
zy-hFvvne~8y|ZcNTbrD3Y<m6Lrrc=#%BJ}*Z3=&3)2HV)6-L)*Hm!PU<K82i;-JD~
zVtHiKu7@_=eqd8NG`Mfm^m{h$5hsp2HWfjS+cvKCHeJ4H<9)16b#B-+<vMX)v+3hi
zn~I~)6`QtQw(*&XO&QVrqD>1g*mUf?O>t4}oK54;689O}J<XUg;FL{!Pule4giU$T
z^|(!&j?qS}O<B-3hIpgtH;UNMBGRU15jLF<*pv!Q!);pPx9OaZ$7t#$haQ_QxNS;{
zmM)uCI&He@uqiV-m^N*++jQ4Pju2|KX}5(uhS^jMLyp>HJz~?>!!}jHltVT}9keMC
z8XchT{j{~urflf8mvi@!@7*?)!Ps3k`FGkB9}Rcdw0yfwH@49a`fRo7$QIh&Y*Ps4
zY$E23Hf2J$4L0ptPfpg+CuXjtF4hn)daSnT;3}KGthC9%f)(_?+@?GjxXdQUQk&wT
z=@RB=u}#kw*;E!&7TR=r0XanP`HX3vjr+K4YK#qY81HQ69<yfIbZI8J$FLbT1*Vfn
zbeU$;p{X|gp29iUG})#%lWeMrMH9*21e;1?>UeTJj`J~MtW7av7!&%9w#hS!T0z&5
zHd#j4lmP99+jL+UH9wU4z^)-SeIHC8*fz+f&jW3$kIe(9tNu3C!=`@ZrmszPv8fNw
z_vRRE>BaFq$u+iz(oPT70rqsK{chAh4t1qpbnar4y)*HkS10DFBXMGA2b)f`Cw@$5
zXVaCoj0^MH*tidX@nTIY`fo{$*xQ19qf2vYznM)LFs!LfXPU6SFsrdm4;oSH*wE0X
zZw-h8mipus1MAszvaU^qFuRUTk89gh16ym^^tUGM!dHVejS1Clx@p){8S6uA`caMg
zg}bUvSutL$lPWd|n<_KrO5_@Wii`&{E7<fjm>gn%d7F}Ba5?6ytWD*xrVMSCCN~I_
zvMC?tmZY9bkVn{xQ-hdTj4>5u&Er53n^I#`VPY#pO=5RJ+Q#q#HeJup*s(L8P027k
zh&7Ox<FF@>O(`)tH}#W?_HZ~Sdj%%vAlB^EF`U_`Z_LliTxYSV6JjzmFIbm}{9{l?
zo33TBsX7j%rwvR?N9<|YGZ2}EJqc@5vmP-t75iICasgWk)+81tr)H9|K5!{1G2&1X
za*H{MsjWop54ez!HH$+DSofG0pLvbPn#R?*Ha>Hv%{c7WSpLtdxETJ|s)v89YJte#
zR+Yi_Usk2V%%4_${$W*bT>EZSJ-EJERTP`PT9pdZzF76~vsJxt?UPjv;QMG*DeU-Q
zRYuHvZ`H5=tQv~P@2qNv({HUZV0&X#A#8kYRT|8GW!2A@9E&F}tm=Ss&#kHr&oiq^
zW6x8oa$v<1tCC>qW2?SCvT}XkoQGC*!lehqf{6Q8RYKT3s|sV=U8}NS*&WWs^xO1z
z%c_xhbCa>+-VI{Jh3i&6hqWr^npGiiUA3w#4qdUTAhun$Dm&I(vMMbWU9>7OW?Zo9
z&v~oH<I6d6jJId4>W`;qtm=Wgr>*LU>!+-0jf*F(YKqe*tg4UL<5tx|<T3IDf2@`7
z^R05nSXB{bv{mI{iy|giBFPPoMp#u6hXYoXz~OLy;;^5eIPBvm4tqHcM?IVei<@>}
zbI~qLC;h<fpkMe+;y|RGxDab2PMo$9H!fNj2d;-PF5ErJIPvrd<Hp;=<N;p}kr(_q
zNS=@wiw=-Ktl3XKv2CAK1#n<5vB9y&s;Y?EO`kZoi@tDcCw<_>4(bJ8w_7zC39xV*
zHH-~gtqQ_{EsPJI%~sXKsZCb3#I221^~9SER*lBr^;XSA8mwQ(xj4Ais$c}xP*b?P
z+Nv&izKSv7*GjAAAT2hnpq^n}ZdEm$SY}l#+*@kZ0DN7-xRDAQ7E?#CE~370Y9V!p
zCktp7f9Ep}WWnxv#E-yStD4~U9P)~9vsp7pkL|Nqcks`&sxfZQpilgm&Kg8!?3u<`
z5Hpn=;>i>%_qdQVteR|9e%L3m-f(3i>j7UUkP~FV{_$2-!Rc{Ub;jGVtUsj1&M~x&
z<D*%(cs+{wKx*t5$!j<<g7t}a!&!UCfW5<L6K97qpZGGws`<zX%V4YO;N~FKH{xQ=
zK&y%&Vt`d`@TxyCAOrUIBbT_`m;B&gAFEcQ7$SR<U%c(b-iE9=+S97KxEo3ykQ_UD
zSXCJpx?B02f_dmhpD2lAU9IYhuU)KKf`SO|Y*kyl>qMTA2kws47hZR;Y8G<B(cY?N
zc+rj;Kn^(CTGbq{+Hf3l!PS~`@un5+Aqf7KR=&Hm>Qf8)MG?d_x2hX{HX}Zi#kr=;
zITB$<6LNuDjjbAkbU4z;sz!Lxkh(z-0u7i;{HRYmD2EI6tQvw8I8c{$hi7$&5kZKk
zO&;*O7JE0U;ATy$#vwBtHJBTGu5Q&zl*L7Zx<*=9Lb&GOLp7_GqYN%q<#nWmMdSdV
zs!*2*#<j{;jYSr?E3wbuS4GwwLhzshc}0F43%05slHpK!_9(nBM=Yp-n`Nz<gxrWK
zL!BcD4wmLvd?-cTpfc{3q*hS?CreO=NDH$#b&fy9SbM08*G0LuAQ-obP?yM$lZDAA
z(!*7V+#vxD6lDJKwE*KlO}xm@9HTsL<)d#D#`z%T5jhc)*Q$X?2X`K;x+5`;<faz!
zHy3LiP4P9SRa;OO?{YB52*I=L^n;3ckc~Bmvbdd<c}59b%fc8?7#A~JH4z1HJ`?*m
z^5JYo<^_3iIs^MCa^qxr))aE%R63qV9-L0gIFJ`-(r_+<a5gn<q5v+YV(&l^Tun(1
zPy#noP`4<9yUB?e74SG2c}F$8N@~?w)W(M-j2(^eJu&+zS|KiuCSo5)a<~(+){zm>
z38+Kl#@YDP35wxXJo-Z=JdaBrQ3s#nu=k-Q;v(#yMct7G5q~WjhCI0N$D(N{jR(Ii
zT88R)|I4CnXn}aJ{j{hTGUC_|3->-+R2VnETeJYen{O6vMl-~P?W;w-kr^kySTqqO
zaR0MK%TWtoK3TLE9gz|dA1xY*g1Gs?qD3(9@x4X6(H_YW{+~r7P!PA?S+oQ-@%61m
z2hbJiaO{mm6HpS5UR(Iy$)ZMx1M`)Ie|Kh4Zd`e3;qQHmLh$K@Mf=bN>2UnHMUzk#
zFP>Sn1+9?`5l<}|gW`Df#G-X*iUjaHCeJ8@dygzyjmC%%&qIrbqcHeCnY9K@kO1EM
zj15Kc=$=Iz&=ScIb(is=EMDEQXa_nX9Zuc0Xa<DOw=6o0KFEz5H_15~B0hXKEE<iH
zcz&I^Mn`18xoZ~9Lrwg?YLNrOP!vzDFn+X0I-I#|(Hzvk?@JarF#;v<;-W=6(G^*7
z<$^^^(GUp{ah{q$MSMDE(NPRUAv`{7(N=UqW?VkQxoCvMh(2x6R8+-}Q^bgoD2=x#
zsR8swemp!u%;<zHxO&{86=;rBICG2|MtvkgOe}dsb^MJXSD1iG_!@1I9V1W%@1uwt
zLr?;5A}u<I0VskO5!5&Opa7l($O%Fbgh%1bAwm&^M}8h76hV08<1s=JghyT;BNX}Y
z#KXEk9~8n1w}tO}=pV)K#zh@q2uk6-(;^E-pgg`hEOKE2s^YK7ykG`uBN0y6$qyPM
z6)xDwA6g?bZdqCP=#G4NW+4U)LMeO<W36Evguh2Eio`6`LvoxyV$n*pLw4LhOrFpe
z#qi%D_7jYS@b4fsfVpUdG`M<zwSsQQkC*!`I)ag?gg^UOKbVWgNQ-NGE!v3gD2O+E
zxXNQ3LXZHbcC#;{Epp(|F7^iuL3#Y#NzO0_jgcO=c389>{ZI;Dw_D`LEHpwo+}y^x
zLtm7{m#x$qW}+d|;no)B8v{@lKQ}W5EI><S!=p{qJ4T=i;^EXr<_H~;4{tUw2bh9-
zNQ0Z}X&VDk9)H%cUt%fRBQIX9CGVJoI!KM1YnU4hMn%NM>DBCS=!PQrw2JX!E?OWv
zo~~rAU_5Fe6>hGuXcvZ}3KHVNa^?hmPzJx3u?J%Xx}Y#VE#(@3`Dl$ic(a6B#w;{P
z4!l^*dc`y}Mix9-WKkF<p*}L;!9t4;VH|2BE$%H~En^(&ARX?{=QxZ<U8Ki@d8{!^
zKs{u@!@1NRCZawv;mI6o3)9dPIq+&WF=Gx|BM9$jF*YnhM-;}_ne0ngf$k`YKQq|7
zun_}L8A)(`x<z|18nuxgkEXHiF%8X-3vZ`VZ&-+qD1skTxK?95`lB+E;^t)5G{&O=
zvf||=i`<xx4k&^j6FDF2(I1tO47VqcH%vxT<i`8)>;qVVo+yumxHgVG6XVbT+3<QS
zv0^d0q7>rd@)-6%j70-v$J@~s1+W}F5sbvRIg0tjWHduwd>Uy{EY_kwgp_zNg1W~X
zbU<<Z8*b4h?8Z1WLN0t5#@t{n2A~?!;PFtdOPG(&D1~^qHiY$xDQJm;_&J#CE_PrH
z8X^}y4q{DW1BRd`GU3%gY6L6L2UU;?j|WgsSd36qL<&6YPb^r7?g&OQ-0#Qwz<hK?
zIV8c|zSJt_qBF`M5$^QidCWsslt(f==uP`rgiusMDm>}MdmSu8A5=v;yy!{%ScL(o
zj!bwPN-nVxBhUbO@T~{=!EQ`KD-=as-004}f;s4d@<@(H-KbA2Ltlg-Bi?pp&aoMz
z(F6tXrwi8*9L8*PK`>I{X=nB`tj1u}K~8+>WYJmd#$>cX2_(e5j=UejGW17HWXI<Y
zoP#}>iuNdjWO&@3I>%}ZK|SQbk9O1^4q_I%paN3kMO&^3*n}}?j-p6_du^x(tiT}D
zMIQWY&HFJN!90YbDl*}HE3O~dg(+x{vPgkvEm^bJgt2Ie5=er_EtpfR$0#&IQ6$8J
z=De@P8VpBc6hb`QZAOe(i6Ll!{P@?D>mM9gfgxy!f{2HEO{gub!3Z=(Q6$2n#>9dR
z7=xB5iDY=zh<srSCZH|KA{AaW<XVGWn2xRxvfxVt<^V^r2>nqP`49(p>k|*wVia1S
zB$DGrJ!%d+FcqCq8JX~@F4sI9!6FPmeH26jJgUR{3v9t8bVMa&!spt=gfJ|@AT&f_
zB*K$gj1}831)Wg^S@5+cH2@n{U^tqi6jI@B4X!UZhz016`Y41%cv_vcik+B&9;lAo
z_-l|4_^=TZ&;gZ@8DB$KYcR1IqtOPz$cQi1cpWBIV>H?z7#Z=UDzC%DYK%r31S2E9
zh}Xd#H(HI+XoFy6#Fr|(4hPm^96F#1vg3DU;zu~PVj6m&Ch{Qxo>pRS#$L=re>6lf
zq`=#X>{&R9Wf+c@D2ELAQh{p$oLG;E=mG<I5g$*3sYmR`LJUSTltFrYDbMvDZfwM4
zbVCi~Lqa?+$2A!Tu^2<q0_Bhq-^y}rgcn;d9lcNwMUfKk%W$oQ1M4vf-B1$+kOZ$w
zGhSG*3S-d`)sP4A@vIcF;1HH#1lphyvg2<_u2qP^J}km8v_>W5KpZ?N!QUk~gk>0o
z_Na<HNPri`sb7R)6~>`6sv|#=;7u{s9_(0$N$8H+D2x<%UzBwM7dB%C`l2z)AQOHS
zVUI&B4qz!pp#wsY4@vO0FzXdgY{GQ(K_iq#M*J+qbr~_(k0lt1_Nay+B*vS97F~n`
zn=k|Y&=lp74RP?S0C|8F>o5hq&=94O3BU8R&)@`(U==2yJL;l1(&2kP_Fcr_0G444
zI-@2EBNaXev3DZ^d$1Uz&<QnB1ZnUsFYO@~hp-Y8&;#{R3YqXH4|9&wuwp%?p)Z;u
z7&#ChuX2+YxUdy-Fc_^N1R*Kj=VI+39J{d?qtOL*Py!k8CnxI=XJKM9W@9kgpc)Dw
zCBEcf-#{!5V>KqDH<}<AIgt==v$F@mkKI^|(ddFYD1nUlla2my7A7`h4u+yVYM?06
z<9Ak$#W^^!4f8PqolqMkkO}{?utsnZ9_+*-j7C?~Luq71JiN}#I)ER0uoUCa0}W9Q
zIgk+VGLc(EU_Vx168fMysvtj7;d@4E4`<-OHY~s>bVYrXMGhpw`wY|;VsHfOFav|o
z7S&M{8SpnfW5gx+um{U90lm-^l@Np!_?nJ&j8m{<3+7=Yx}pKfBR7)aOInV{X*jSQ
zi!c_UXo5<}hgA5HhC0T1c(5DGFcE#w0##86>F_5t@#8YWu^+226$8)))lm$Y5EpM!
zk$XhpFxFuvhN2Vdp&W7}IliUjy&KNMi@jKhsThcMsD)C<j>Pzsf;|eS;lxfX#YFT)
zD;Ow-%!rTwlJj>Uj>CqnSctLciDnQAAwB*jqvmiO(Kw2Yn2V9<jwYyrLdbx)c$buZ
zZ~`WFU@0b{KiZ-eN+Tzd;ad{s1s4&HgII^z7=dnRjLIm8^oWDEiK#^#haKCo1QXE@
zZBP@XkON8aH4*v71^96QYcUJM(G5)?6hUSr#HWN@8*v_f9K?Fe#c1?I3m7PY>`01l
z3D^^G8Id@O%~*)>=!-U}g)+#El=u~&zwvP$v9Mt~mSQpnq66w782OME|KgDs+{Q^b
zu^THf9YfI-O;8oZkPS)kJudH8a1F7rV<%Q%I)<SenxYztBRi7eM;z7)uHzU??7~XS
zz;JX&GlZZ7av(W={tMGf+`w@-up6r|6C=<A&0(M<av}wO{SDJA+{6huu?MR$3nLMV
zmZ*uc2tqo<!^b~idW1`ef)zWk0y8iIp=gPkD2pJZLp*%^&H1>5C|I!rD=-5i5Q>(l
ziLwYnI>f`rU!0Fih=LV6umUqM0-<P$nkb7Pq(eM>{K@&ageX|C11m5CBM^#KsEuG0
zL}nzxk00a@w{Zr39KlvB!*q;5PqaoIR6rqQK~ntu9;Vm0gR=<7QEbC<%)m(WLL1aY
zMHEI>B*U+7VSI-brn@+Y0K%{xD=-tI&>L-050y{^*^nH+zlP~8?%_NlV8ITo#4L<P
zAGAXQ2qlmkX%Qb^zJ%#HZsIijIEw99iP;#7{^*1zFi-~hkP(UT<1=}|U7SZGY}k#p
zn2(7VjBaRwS_noVWJPlP`4p!A@DP^~3n%ttBNk&ShNCCipdKot7;+*t;^NcCFg?X}
zoP-yLu@%cP6Qj`=9nc6ND1-dSjAZ!pAx!V_7}szTJ{-jktj0V{#1QmAYt%y(lt3P&
zM<V=q&-~*)E+G~!9K;qZ$1IG+0CYif)ItRmK@OxwJbd{tjC+i!Yn($Q?AVJ9Sd3{H
zi9YCn#xPJ81&{^F@%LSrKHv$i;}rY|!%nQhd`!YngrW`Vqbf=xKe8YN;^6aJ;=>(W
zKnz?sgl$-bd6<M@=!N!ZjOr+l!pMO%NPzEe$RQr!3QoX>FzmuQEW$L5LO*mybJRv9
z6h|IpKob0Z%{=1?Zr}_eV8=de!ZOUlI1EB}v_^eYMQP+m7NkHNe166FaR(O=0~Zcq
z8&+W+CSe$Qp*<R-I)YIYxsd@$@%JV5jTg9!OE?Z6EZBpMScch{fT8Gx4rq#6sDu&-
zLT02uTzq}Odd34>#VG_}$9`<VO3cG#j6h#>MhnyhH*Bjk3LqO&BLRLq57Rq5#tocB
z6r4DO?O20_n1<09fNp4w1_(hp6h=;@Lt^}XM*ZR$ZsP)C;lWYt!g?&hOpL=|grXf9
zqXsIVID(J`sgM9apHd@uhC8@~69|VL2e1umun03S4nxoj9nl<hQ59uT7`c!E$q)x$
zpHSa;gc~@A7<dqdJ=la5n1?ACg#qY}wrGr+sDzTpk8DVTMEL!fYbsvg9<JaNBH+Lw
z?7%uK!7NO`F!VuZv_yS`pgf8q4>BPI;^F%v<{M9N3m0$<K3K62Td)cXFb!ic2%%_?
zrl^f7D2+nMg^Wmn`1tvdxyK9K$2FWq47{*nKek~lmS8p}VI&5i2il_<>Y^ITqZopa
z6={$de;=^-;td|-7B1oh0&w6kc3~q{U_Pc{EQX*rI-?aDq6R9V6bd3IG9WqP;m3XI
z56^KAS8)c>@W6t7*ork+j9Hk75$KQZXose#gQ_TpqR5LZNR34JbC3NCuki>saRJ8>
z4iks46C1D`^Dq@-Fc`hi2`$k8)lm^8Q2;rS5h;-nf9{f3yv0-8#Z{a|Ec`HW7`w3<
ztFaifF&U#V7`@R2ZO{aDPz}K-fda^hj7W)u_;ZK;@fJ^U7guo>vGBvhVeH0ctj1!@
z#$=4fVDv^8v_TWpK{W)U1PUN0G9o1s;?HgR$6GwbU0lUk#KI2~hp`)*u^Njp8<Q~_
zgV7sZ&<0IV2h|Xa5-5P2$cU6kh(EXJA8+v#cX1VG5eq*|9L8>J#%e6aY)r;z3`TEs
zK^rtd9aKXwN}vF8A`?<03F6}CO|EZvgQvKM>$rfEh=Lb(9L64O#X2m<0?foDjK&c3
zMR#;SOEf}lR6_-nLSf`ZHl#-iB*fnvVfu#mc!@{2jVm~dV+g<n3l3l>HeofEU@oR%
zJVsz3dZ7#2q8aL=2CASOilYE>Av4k-DdOSRb=D@{;u-Ga1}@?hqTz#yBiM^=SdSH0
zh*_A7F&K(|=z)%Cg~q6Z5L85I6hRQOBLh+*5&m6cug3?x!eiXQRh+|dM8FLz4q_KJ
zV-1#K9;RagMq&_pqbu5>IU1lQgz_kXg2;_5NQ>l1h<{hvGw}&;@f;6v8&`22ClL)l
zoUq^^c4I5nV<i@2E~aB5Mq?=YqbItc9a^9f>cBu{ltT#=LSAG?Mx;hk#K)g2)EGYC
zHJ;)=ZsIb|;y5DVg^8oskDb_zwOEdYn2o6zkC7ORzUYBYXoF^GfLf@AiYS9(D1h9^
ziu6c{#E6Sum)RrmA70`y?&3Nw;xu9rfEzX(#$Ig4My$qC%*RYj##ju;K=ej8bU-UK
zK|R!f5R6hNf_%t{%t(vmNQi%zn16i2TRg`@+{RU$$4NxP4<{@*h~3zV^;n6;n2YI{
zh|w5|{^*G=XonVPggP)#8Rbv{g^(B7krAnp6bbO}BKsb`;5}aB86M&euHzEU;sl}*
z4ma#LiUZh<ZP<u4SdK-Qiy4@VaTtjq=#O6LhK^{1=4gbvsDY}eh_Wbw!pMhQ$chX|
zjbuoOIQVse_p$hZH+YUmxQiROjB_}N7zE&fi7*_*9&E=Zti=i}#yrf#6pY6x48;KS
zMt5{VTeLu9)I&{FLnV|$NfbeT<VH4RL>eSVBE-e-^Q=vL#9O?;W8A|{T)}yqLM$TS
zg##8G!d~paW~{?XEWv!t!c<JaXbi(Z^g$1FMmw}b6Vyj7grG9YqZEpw0P-L^G9fKe
zATi?M&pGyKe8M}t#1q`dEnLL~oW?Ok!Urd;IE;PRi7i-<RalAzn2l+eh%p$BLFkK6
zbU}NxLQ^zAZ5XJ6V3bBN6hvO+KxU*vN+dyi{5{K>!B>35JG{a(Ji<NP!ZlpNIh?{V
zL?Ij=IAFyQ9Kaszz!q%48mzz)EWjMhz!Xft81(7W$2j!9w^4CoZzFM{-bRk)y^PU0
zdKu~W^)$Ye>uF?<2sLIm4mHZ&>|x~V)5B=@sk?D*T6be!s_w?@P2G&xqTP&o?yg3P
z`dy9m*Si><`*bm$f9Y)4XLmNDGIlo7?dfFftkB6AeY~SFuYE`3&dUzQ@QEFax+yyt
zowl|&EM?jo^<vr?Ioh=|%Dif8%$eNQ$d<OP@pe}m<6osVM)R|+jR!qi8%MvkGJFeL
z8Hw|@GL}198XX$9G`c=&VQe4Q!U#&;!g#Q|xpBK{b0htgX2!gM&5SDXn;AtmHZ@w8
zYijsTH!-^RYGPFX)7a>|rm<lw)!3+evXPOYXCoumpN2-ywGEBOWf~e=&NMJq^=)9p
z#A{%b+*04TT)Dnsy;{#WJ-nWgD^)$?z=68PuzGckp-<`<`=-}1vgNL0#QJI*`#aV)
zV!ziivaPLU><zAE48Bs+7&x+~u{~W)BbBv=VQW#tSoWd1v1@sC<G(W1jS-g&qxeX}
z$dSP?YMCL%_O>BL@b_v)oDJ2CxK*nemF`tFc2BEn)X!Jd$a73a$^J5ir;zdTXcc2k
zt18C0Z<URu8!H>Pjmk!+CzXse^D7xYN>nm3U9M>K9aqtKle40+JGz3gqJIU$n!19K
z&=G7b>Kts;jUQ~3J5b(e)uOzy`+GT~=(cjk!+Pb6)Blw<p06!y1XnL>m@mp0eV3Op
z8dWJ{bbnmh*t@8-k-I`^<HY?^#*X==jKk$h887daG}_K9X?!YM(ullU!U)VOVZ1F@
z!f15AxN&nqabs<T;>PSp#f%+GiW&b^DP|0OUew66s;Ke4dQs!Y+agApjYW)g^@|uK
zzZNz=?ksFPX;Iin7^kq&`bZ(;V&_7}q~wK+HlBh;r~U<vrCACZ?~fNSri?9MR4G)z
z$ag)zQF(5DV^YQZ#_Q+#jJfOb8O<8xGiv_~GI}2jGOV40jAE&Rj0=Ih#`fWPjV<}|
z8pp2YF|y6eW2~=|$Ef`_w~=jIZX<iE+(x}bxs5IETt@D}xs20!av9sN<TQ57%W0gg
zn$rmSki*!%JBQJ*V-6!{>KsP4nCwRN@!5@KC9@kzpJX!*t<PqRYnIIzoG_cQ(3{n`
zG(4+Ovv5}9*1aso#?@JjS&g$8YvN}yE_gB<Wk+N-d_^)FLmp-_>aWjaG;EQ{7@0Ja
z5fhows5&8|ai?rXW9RD(#`0Ymj6Gd47>_b#FzQ@LZ=9c>-k4e|z0vkhI-`{{oiTQJ
zIwP`JI-|_9w8rsmX^okk(i*)pr8Nd$Ok-?Vl*V{lFOAVVei|cwAhmI9LTckkh17=k
zV=CkAkyJ+QfvJp$LaB@%Pf{8Mx2H7HbWLgG%AV3_aU+GXZ*>YIU#k>GRGJjV>~qPD
zL5q?bV;d$nb|*=0d^?uR7&JSXk+60$BQjnxV_RfWW9PJ_#z`Zok?vm-V{&*BBl(mh
zhOb%@W7(g?#vFfQW9#I^#;t0Jjf#I08IJHoM!TtrjBM2t8UNxWG7?24G)m1(XiTV`
z(0G<Gp)u-s0wdr21jeU^35=&H5*Xjl#W#vCk8ezG72o)lF}|_*Mm(eT#&|}KuJMcv
zdE*%+p2Ri!?2T(g42Ww~DH+$e@*$3~#EfI~8z09Atro|a6gQ4BaN)m@oEiRwq~82D
zq<X=>AxDq?3F%V#Pe{Y)-yx%${0_Ny{a48B&|e_~-u?_(Jnm=6yZApt7A^e|(l`5$
zkZF6rhg>W7J)~d6w~&fWzJ=7f^)+N+->)I5zkCTfKjTZt=`>$L;&1)@KSSpkmeU)@
z@lt3gBT};dGAg1{)Ne(pC<#T`*)x)?gobu0NhPB}krE;$BCCifGlXne*?at-7vJmL
zFP`gpan8BNi}U?_WTok6>3!mpv~l?)gYJHml=&ZJ;ExZY9`!*w>3@*fx$ot*&3nnK
zYLe_pO>*bWJ8@k1PTsbDC)Js6<;B3a0u^th!t0I1ynZc_>t4&rwy&jM_A9w={YnZi
zH_AotM$!B7QqrSd%9O4z#r^OL2^#)Fp5A{h>z6&3G3w7{V)`>lvw9|NE<csB8BZnS
z#}hf0@I=&%o=DuO$1>dWu~;`flBp4o<XE>yGNPnGw8u1v+N*~$IP{@x>-<m#9(^E6
zqaTR!tNSu&!+lBbdSB>Ry=ZyVOWUS<G9vn(9O-pW+)v+?UQ_Oh$&WiSW6K?>Hoqea
zuG9%EtP@hJ6W{FHa@+2<_%_@UTz5+bcfKXFOK-|~ubVRd+YQl6z9FrwZixAf>k_f-
zx@hZMm-B_!WdGP}a{gnjXm75Sh=H|YcB4krm)A%;-5PNzzA8t&uFA-tSET*+E21e^
z#Jr(e!b7S>qgS<*RbH0#1()TZ)@5lrcuA&sT#_H(s^sjpDmh_WB~PAQl);e~<ygOq
zGQakMIIXxKV+}4yba|z`pIs@Tnw4UIs6xy<E5!NFc}duHUR0dVOV;~yvN+|O%#m{v
z{p_sVjXf*lEzio|duQZYs3LvO$e-({#Ut>v-0FE+LaWPV@``ft?p7}G7f#8`rKe<(
z!6`8~e^Nd#J}KYzPD<~yWwPF<Oq%JH$$>K`B;4nOMChH6LuZdm^Cib6w9|1hsVJ3S
zOH1WTmr~KIIwrGL9Fsdej>*caB_e?((%-m59B&m%L};<RH!GHq2S<fsk4jfKDn>7h
zWMXoW92r(5gFYRRhnYv@;OHZg`|q$^EI2G}rXH5{T8E`WS)p88R47L~7s~0&hvZY>
zA#pK1Bvtnh%94!-1#J(C>H7oXn0Y|L#vYJYDhFhFQGxWHTOfb*3gk!Celb|PUuF*2
zFEx+yWoA;o7&zt2_aAxkGe1vyc<0Fyojhr%*e5Fj_KA7_ebV-Eu5?Jw6>-j$n7@1F
zPvKtKJa@0ScHS#}Yxjt0_#Sb`J+k9{j%eoO$c{-lGPZ4w^sUU6K5MhZX<)WQH}01A
z>APk1_}$V=YqxwpyGx!2?2=#RyJTQvmc(UbiH28}>}#DRiz+i^^!iNk9GodZO&M}&
zPli}~XGo=9hODYh7nkUC8DgI<p1*fWe9=y6T)b0e8SND1$2;WIwjHu_oFc7vNcqL>
zqOxJT%$4o(=KD6;ba<P1F5V_$yiFXQrio8_niNe;ldigHvZr>djEUPS1|zmg^X6Nn
z_32cxS(_@MHmUOVONy*0Op$I&Qsiad6sdWcEOpt*@^416ICf8#{QFzPeA^be<+Vl9
zbhpUb8%eT0F-bB;C&@$YB;o4KQW~>a#yfA8HtL(Du`*E_!V~4IL!y{8Pn5uOo8(RC
zCJC_LBz;si$;UGZayKMF8tf88RV6_j&&EqmXuKE>i<gtC@v`FlMj08tQEZ(yiksR-
zS$i=~E=0$P*~mC4(uxz$tFfZHDONs?jg{B!V@3IPj11fwBO#Mw<ZYK2S>6yW`n#g#
z?(AqOHj0)*ucM^0AWD8LjS?rTC^_^!QU;%hlsoGqCB;5cmbQ$PxtAhjReXeGyGO{o
zjuA4pK3uM4gp1GYa4|FqmoM+a<niG!d9^A`v?NSiRKjHUg$<&&af9q}-ymc3H;C@T
zQ2Dw$RNgNLmFDK5V)ZRV)|Z9I)6fu^=^P@z+l0u$+rhGKXRyqf9W3+u1xwhcAURPQ
zBw8UsvT8(-;x|EJb!fe04_PlGYSu}2?{#AGeyz+4S}S+jtd+Hyf#PlvD3i~wkyMX0
z(&Bl5>{%Hg0qOw~v~9JNn68!{<*Vf6*i{nyY^B7kS}7+qS4!9P6;f!iLRMBRm&Fs8
zOY%E^X$tX|)gArCGJlzL8@f#JmY+l}^pobweo~mcR1*3vm7QmNrQXX|oST-&%djPi
zdAURmA6_gC&WnW~`^d%BKC+>$k1WYuBvC^b$+bHR#o2G6e9%}Z6}uKl6)liIH|NXL
zCG+K-+I-2+nkT6=PYQ3%m7l(I#aDB#w9lC%&xa^-Z?@>HoGpvn&6cnGXGz|OS+eoj
zOxYPcQ|@({DGsGGq<;Ji$@nx~5)!7%e$(mlwaQx-&GQ!R7T$7y*EFdcI!*pPoGN42
zO_kctQzh{D6mg$8MaKP@ETO5BrGD^anSOhcv|Tw#-snz}Pe&(8FVBe*@@;}>q)w0%
z))Qpw9WTiY@RAz_USeM6DJ4@qWr32XIA)EPk;BGI;PY{ED{`Dn>^n}>u6Rg;uZKL=
z@er+IcbPHKT^{`zD^ZzaWun7a@n{?)tK!DUdGj%f`#W0h28@=hZlfjfoSWp$cayi;
zZsK`ll)RcSO0xgCN@TXHB)PcCg%2a8XX;4VD<j3@nTr_3x`^RG7jeAnESrLzMa9@z
zcGQfJsjEgP=I96+e_^=9`3{%Ydc(!{w3BpR;3Q4$oTTx%qiD=_lrh?la;n%t+^0K;
zwx)wL9T_HHrw)^z>ceE!VSD*F#a<HC?8WP_oeZ05C*#%aB<{#ic{OdQ_-GE54#h*{
z$&4X#OM8gCE47t=b8RJF$5uL)i=0~|lB_QhSHY6IjHR(V%cv_Pb!$k%jY%flMj0K3
zvS=Vm{v(h!2_UHg;_%i+bhq1xri+aj{<M~9xz=*Z%UbN!tmRelU@4kASax+(Tq_63
ztCfSq-e{1Vs<V=*QC89&tfcvCOVQeHDb}u*68?9fd^<2uqNfj(Avyy^|Gb5?Uuhv0
z#unmt&s=WAnahMB=A!h;OfF`dDfVqMIjw0X?@tbpp?(7tXNUnZ;!b~2it8_RL;B0L
z&!+Nruc??!F_p-+rlMBSPjUnL$-)8sWYp8X;=Z-7tRB@@%2oP`(J>P_xY$G{^fVE}
zyT+oOU@ZEM#^UhXNH!H3$=`WK64T8{Y;N_DmT`ULi+vwa`PEx23VTcN{ND1udv94^
z*Go(jddV-RUefrlr+h2!DLs9A%2K1A@}R*`7Hl<?4r2|aLBmk0&i0V&fj#86RSy}~
z^q=JI{ZGti{3o{z{*$zu-DPcjcUd>0yX;iyF89m239jlU#TMOU?AxxQxwot0Id+vh
zUAoHKx-QZ^sf#Ri>!SGIF5*+sS@c3W%OmbA7k(H>b&-L*UuvM(BMl_}RVUHh(@C;t
zc9O~6JBj&yeKAbamw}%8;@w_f_SNc1yLdfG8L1~W8hY}*vZLGx>nPRs9p#B~N6{_U
zl{xEl<vQug<X;`6S!oA3zp8`m9^64PzP6W=qW1FEzrBcMd&&Q#BZCg>NWGtq?6lC4
zwIAEbs={^>@7GSwShSP2pW4cr!)-;`zpd=DY%9~hv=KboM$A^Wk)hUY#OFtADJpF(
zdV#Gag<FgHKW%wlt}VqO+Olhyw(M)6EtfB7iF%BdOn23i8?Ciu#<f<Wxuum{^=u^t
zom$D>`<ikhLsMSQ)D+7;nv(iTLpl~{$ibx=GSf;!%zvnhewn%$1gnd+gSsqHSC{f?
zHR+qECI`o>iJO6%s5P{dd%Ii8h50SzYX6qf^r?jyA8R3N*R_z>_ASIuy@lvpZ7$VG
z%_VbUbJ^Ivxg<STl_UA8^43pPY;9B}@1Kg8RjA07SQQC#SCMg@R74&%lOcPX$)qLC
zBz{mcx%Wp|hMZTHld;M&&O=#LJ1fiOCrXl^rzF|SloVuNC23Gml3}U;_=nLyesJtB
ze|G-MQ2&Py`TSw8f4_Oarr$is@HhJu{o)%=zj)!@pKRgtlZ}*q@~F)}cz5p~Y+U-C
z@4J5I(~rLKjpg51SK}K;?EK1o27cwQm0$St<S*R)<7ZwI@tIY-eC88{pEzsyCoX>Q
zk$?Js<b|3aStIKM-?sk1*RH<jUvu8`n7>VYb4wFPm^Sg8^Y3`sly|)U%Uf>0@h$J|
z{g&sSdc$5`Z+O{<*L*zsHJkN(&DY9aai-@h-u|JH&&4#dUhhUuEq}=llU{PyuP@ke
z(+l?K_ks^qK4+NuoSXhW<Ev@U_}-vrtaJS-uUPVwo40z(r}jSK-40Lq$m7TSe*I(i
z?DCi!OCNEL*CUSm+Q8{a4P0;0z{6@E@~tHgd9(II4%q*IV@5vU%GdYVH0C~+ncU}<
zRrNe+K|RmcsOQXm_qdtMJ&t>Qm+fNja(C0aY;@%gPgrt?54X9)gA42Use2ule!0!Z
zQf~7jo7-$re~a_i-QrRI-D3T7H(6`$O*YoJ$&2^j;CrKQ@Y2uMc|huQ?m*Ysu;Cg{
z*l>-Djjl0Q*YfM7wR~E)mQNk8;iuj;Y~G@VbMmgT-I%M~{M!|Nzx@g~v%kXFSk2qw
ztGUOZYOblj%-NxrIn(4apR2vZ+N&?|y6%^_!-XoozNCtaJ67@OQy2N;+>1P-%|)&#
zxxn+MUtkN33;f^VN**-1l9x8G<ZA^LJi)7iTQsZSy1esTGwwXU{dbPd_MPKYk8|AX
z-&wB9J<A6@&hq|$XZY&AGpsxQ42LM6VV(V_`GVJJ&Qd+inFq`H{N!@hQZMI#qEoCn
z;}n-`pW?LRCpmTANiOYhl9kSu@dDp6{@$gG_gy-{L90)2K%Wzwdh<Bn2|dnYahxj~
zN_km)DceaYTfIHTF58ds2A5;}=w}H}-&ew_6HB;Cy@U@RE9O)4i}{^?G22!h<--9-
z*}3mgR;e%Ihp|QcfQ$IwyCZCuafJ7dIl^WtNBHiM!<;kcFem99=G|3=d@Hb!O$HQl
z#-l@QopgvlIv(Qc9|yTA{~$L`JIKa52RWwV0BZ*v;6l>_yy{T_Puo(!b4L_#!k_(o
z_t1WJn6sa2JMHInSMzz~hI~ewe0F)4$7^=w@nx?(X6-z_dUhWNuinQV1NO1gvs|9I
zEtfZr$>ql_b9wy9z5L35FYoNTm;D~^;W=CPaKPw2T+nh4E1$|?{}nmhvVRUAdzQ^H
zJF+=&TsFsPWpmm2-P~&3ZeBBJH>)@8;-h<ZaftUW_R-(PE3aj7MobpJ9G1mye>3@J
zaVD=`n#t5Rle<34;I8Qz%o8#=KqrH5Rj2dl$aH>bm(J;bcCvrTPM*7LC$H+illL_4
z;Lp2v@HFoo{L)|t$KT%09-FuGU^hiHxAVBlZM-RT8^5yM#?ybN@t2Y`-m^T7S6HO+
zjHa!;D1R$&p1+lE_uk6ZPgD75W-5=Fmdff~Qu)E%6s}24;fLc>ShGV4yI)V{l1<4B
zqm#K#JDE3EZ{Y>8TX?F=7GA8eh0`u3@sr3T9zHyYFSbnLIhC8aTf}Dm?6{eqwb;xb
zD-zitB9XnF68Ut?M3xJi_;%zbjv29uCuwYA$4d$98k@jNToZV|b^^DkiRU$&;#t!@
zo{zSV=fGPVd1~rLo-}bIFYCOKa~{O;=ZrX>GBb`J^@`*5FJsv{FP2*^j^$rwv8?(z
zhK-72cy2%pmvanTD#!4dbJ4sYGMY_CMzcnnXjZ-v#X6}`Y&$uM!@5WDv!{_fEjN-s
z`9yN2MI_Jv7QrqjBG@T7f+sshaExXI->3=aLCN7<I4PWm{};~Ro`-RHei&!@h4BvS
zFfRPNfg8?k;65=MIC9JeZl<?^w>${tq1mC_Vo@kRwFu>VKSKC*c?h?U4B_!^A$(9b
zgbg1A^MUMO_V5YjwpPLX;&%|=JQu|Eu|fRHBZvof3E~!)*7NO2>$&dDI@VaXju*9F
z$Nw_c@)?V@Ty!pw>&6Fi-^Mjuux1TU*IvWJG6UGtGJv;Mu4c_it2zJODqb6+i0&%R
z-?x%AY*%v1^%d+sZw1Sr<?NNXoHP3@XT36iJ~`H(6JIXlE$fzXMf+vkE6<M)5B1|E
zbxRfN>{4FZVksBz@MRM#U%qsC38&3k!pXlEb9vHY?r6H0x1aanQB!@`^xGn~Nm#^w
z#*4V_%tBr`c_H`xx`6c(7O=U=0$zD;J~vLC&yhdov3t@yb{;T~eX8bi+3dM&qdb=%
zZJ)zM)^qsCjoJLrcQy~wn$0D-vv`i<EVg|zlZOS(WdANR`D*D59_KZKTYjC+Pd88J
zH|Ep1YmGOrS?tX!THbs#ZyIlQp2pi6r*d`VR5mu6$_Fc_@btM;m|9NZp?fB?uhV3{
z_+k=|jGUy{!zc08ixc_kf{FY?b0Ux2KY=ffn!romd$A;X@nB0Yo^Z>PcdznfJp)fJ
zDjUyhyvOr=mGK;uGmgtgjAP@s9$cE>!Ty#WJigAIy#w8Ob9Z-scWx{%oj;a4Ymeoo
z!ZG~Ha|~<!8O@$qqxquKXrB4jjeBl(V=Wsu?(%RHj|&^cNBWLpxaP_)SGjUoH&;GZ
zF_P<jMsn{CBRTnm3!Bbz;n$ijTyxl&?@e-MEmdcpoj-z~dW_(xKf~E0XE-~!4d=<<
zoj5JiiT^q~apY%59=y|$TMc*QmLDD1XuAV1c68vo?}zciZNs>S<1qgF-k$$$v*+GU
z_U!l3j-TwX<JBYV*z(IzZl5`n^<9Uu{f{BMDSHU3jvd0=|Jt%wo-NyW*|IdZ<++8z
zMbm`)XbG2<GOwJ+JWiL{^BnP7KjO;n#8wKOcja2-z<$W%?g5XD2KKW7E_!Lhol|W%
z$H|7>zgct7J=Uz}Y0U##TJ!wk!CWzSFgxlE=Ee(yxM1}lPBt0DnfI*tN~{%k6)WD<
zWXZiVE&2XfOD<Nm<ike?a_zi<+}2<qFRQlTZ|g01hlK^terC>YspdS%#hj!5nsMDB
zGafP9jO+ExIN|aDo)a{Hr&tc)<uCj5f$jZSV@!VzZ{D8`OHKLFVpA?RRHUvSKZ@(e
zhW7n9{Ci(kFX+qrXZB@3{l4sZ)r6;nnQ$nYaMcH6Hs5Q^B~y)gS_fn9bJ>VnhZ=E5
zFk;&eeK=xoA8wk~hgWp$!(FcS=BMGk`I7YJ+ONI%TR|_TxxF~ETQBZa*OM<M^yJtP
zJ$Z4np1kC^A;<e0@>Nqq?*F0(=V$cb5fgi`YWp7ip!z?)9q}JG4gHUM{qD{IN4xVo
z-|igLw>z6Z@5V}*-T3XKZu~>H8yjBh$_wMVa_#W0JWjPMe>>HMi`R7FErYx8rca$Y
z??7jMvamDT7<K0Srv}WK2K;7<0he?#;H=x7I5(*iSC8q$ty_2E#h3N@Rg^w&aMEXN
zuFtK{>akL=9&6j`vCW^39DKYZKVRLE=UR7EoTGHPyhxW*{B=2Ipe}F!*nuw|>cBcn
zJMe0=4*aXBJ*ORL&*PS~=Y9j)bGIfP?tef>u@>oY#sD2wdEbsh4z}YiOWW}c^LD)F
zV_Qx>+?F%^+j50fTW<NS4bLiR!}nLW;icGyyZ>p;uTQq-+Mw2a&8{^!skY`mmD(H-
zrOhv0w0WtvHg~Ai;v1W_xL~{%@6y-e!unQRpWcf9o7swkd$;0WjhdXWUz2T@YO=bO
zCcpiz!Ea7zaPwddwsz3qaCHrSSFO&ziR#?SQ=QKksB>b28V6>panJ%a-Z?;xZ+&jb
zMx`xz^ZJ&o=g^XiHCpnLnif1Xxdod}Zow8kTJV^c%{i)|Ip6hf&JNg|FDf_ZITuv9
zbG$0Q8K=rOJFD{TCo24Lp9=T(Q{iPcDtt#tg}p8`<EHp#obK6-=XGnw&M%aC*a2ns
zT&c_<w#r=5Qki?yC~-=v68D_0#8t*h+~(OoI<ev(ZB_e6Icb0CNx#1|=F}f*8uN$B
zp8lreD}Pg?#&2@m`HQZb|DuHRKPhm+PfC6JgPsKcpsBh)NG<O>J+l2yjW@ng_XXc5
z{NGnH*z%Pgn0%$0@-OsZ{1+PX_A{Lf{Y(oweWqcDKGDeGpD6U<M|!#9BdyW?NSO11
zjO7D4+<H&(i{Dd=mhUMqy@}RZH&I~iJIY<~j#O0NQS^?tB!k~lx7s&ky6_FnZT^O?
zq`#&a@S1wud_}E&Uy+gKD_We>NDV_9Y2E#oG<@|-k`6D)`_Kz2aD72WubxwN_;cE6
z_?)(tKcll#o>9kNPboR|DGeF)lsepaLb`rW$ga&3+FJ0KI=Mckir0^5NAx2~H-1Ey
zE;LY&c@4CyWdphGc}TsS6nXK0+#(*(?miF5@WOq%Jnug3RKHJY`|7FOrJmZny+=_S
z?@>Rqd-T2bF1=fJm$Y>6(zud4R59@mdH<=So*8x2#=eevJ-<yeqi$1GzuPpi<`%W{
zzeS%q-lE^fZ&H8nn-r;flQeQ~&=J=g6!Gyog``}kY`RYGA6=sv5!dK<ziV{zS}pBe
zRZGXZ*3!pwH8gf%4c%#5Ly;v{Y3j7AG^xc^TEG7aRe4+?`dv*ocU99Cmud?9beW>I
zU8XYo%cS?_5^YVoL__%!wSHbjD)Cj+)w+tNJ-SF0(HF_x@*=f(aDg61T%ZT$7pPf%
zC5;TPq!VV9H0E9fwF<AGH)a*|@!omr5^<h<EY8#8`{!tFlwvcmI!8Soouz(pXK9kn
zSt@vThI%KSp|f&^HoQJf3sO&$zr$(T^|743rkB%V*K*SMb&9I?o}z;Br|78aDSBLZ
zk}Rg5q@30#Nlup0&qZZ)$DoYrt4@$gzzK3SK0(Lpj?>7<<D_JLoa$bb()E;5`ruSb
z7T=Fi^4??AWx_G4R6j;Zr6m-)u!OdBE}^RGV)}1=F>Ny|ChNyX>D%U`ROfJ%>c16H
zvwcP6Jh_ODXcy6t(?=A~@d%yleS{9)IZWqb57STE!!+hoAywrR((H+a^q+Pi{X2b#
z{w_a6-AoSA^als&T;f3*?sSme{W?HJ2M^GW*#{`6(*dfvT0ot`3MdQ;sO|gxbTWHC
z#Z1~ytK06Uh{}9Ax;CGhTjta9S9#PtGmnZq^C(O^kCva`N8y3{sCeK$QhS|CtFm%Q
zZDKB!w9Tc+i+gER@Lr0r*-J-1>><^Cd&qCb9{Sg559MFap;fUtG}9r6eEw!rN^v$d
z_-4~^lWe;BWH&9}v72l>cT?xKyQ%A?U1S@!i`LohqWT|MG~q}VeO{bJ1;$wv{xp*U
z(=%z)#7sKZA(J}PX3&P%3~D<(gHEVqP}r$-TC^semJUv*q)$8P=7F7Lxo9UHG}=kd
z&vuY<)(*Ngbq8HA*g<u5+o^f-b{g%zol4qlC%&?c9>#2=og=nUK+A39e?E<(L(`~i
zXc}oLrBT4it)#kkE9K!<TKqGWMjcBf=T)gRb8sr9eodiQMJeR9JcXWErcm_fWO6-{
zO#S?msgGqc*?!(a%Z_ZJv;JGCztt8h`jSLmN0X@I$|U+YIEh|<-%LM`Z6>2Nn`tR+
zrdxj!Y5b`~`WTc*xps-PMm3S<S8O7`$W4^&yoqkM+C&4cCeZFp31sP!Ko4~jDEm%4
zg>R3ikZJL>wMRTvJ=;jSxf^NiqK))-z(z{@6i1_r<LJLNan#B-j@qikk$Gh-EsTk!
zQ*N<j+CG+w>SD-qM-1uAh@r;bF?8p3G(9;OO)XbMlLJQ64y9<)u85+oF;OIAqUg77
z6y2zgr1M#kR5LG<KKG9#i!Turbv%N81V>QF@CfSFI)WbE45y>p!)f=-aLO|Yr%NBg
zNcC74jSmW=a;Gq|ZyiPtZ*8EYof~NSoDJmEe*-yw4W%h3Ln$silx~g+r9mA->A=Gf
z8nQQp8ht}3&nASznuXBHOTiSJ6imCO1k?TA!8G7~5N$mcL<XTjR5UV(=IRE~^z!x8
z(_=m9zFbGvf$J!$%{o%gUP~o5Ybp6kAnlqNNDsfSA?J;2=!xMP$~zW7nQj48@oY8e
z2d<`V?N*aZ?kX}KvWl#3ucRf5SJLg~E6Hca3No`=LH|`RC)?S}DdvwqsV4hVUVndD
zU%8Beyq8hI4?j}h>_?mW`H^GAQZn*hN`rs;l3$W9-R<v7i!Uyr0kf7+=YNaIDs3?Z
zSS_a4H9i!%$cM(L`H<u8MKpKFB05sPkov7&NHrZ6QhMP6N^@I4<!|Ow+vxeUvCn)O
zbbcPG&zwgsmFLlb^tlwmb4jUw4&?^Sp+NmP6i_movOH(gm#?$PFL@T}51K`<ZqB4<
z%V&~??o66+bOv1;KZBNkn@)DA)5+RqI(gmorpz_o)V_;19XvUWmU~a5S<R+V;O?nZ
z<~Wu5G)|$?m?^ZP{}h^7JDKMCPo^CmC)2OeNfa`55}7xfMCv&cN!@uOnZKJr!HE;-
z$Dj$c^_~|^5Avchy}W3Cl_%vc@uW5#JSn|&JdN`nPXk+wC+qxiG<)ngI`-XzEYm&c
zmV*bSzj3Gd&F+)~?)3E0SQ-&EmTs7hrSQ5jG%aWhO*I-r8)`;V&8pF4_upu`chQZ~
z{M=~0fg44i8%4)`Mp3(tqbR=Il`Iyx(oY>%dRaD-e$5?8mhDDT;t3bho$ErU+PYBO
z31<qP>r83woT;vC1S!BnbhiBn@+}`uc8i9Swcc=YKj%c7eVyoAXD14}=t!n39O-Wl
zNBVr#fwb2;&`1*pD!4t2EW?J;1B+pl-(XKWH`>z?vZr^i?8s%S9bI;^qorSml1=td
z>g6$%ELDcmoWdb=V)_uWYCD8#%WWya*OvUc+tSJ!q4Xf3S7t(<kC<L;VoI}PTJni#
z?rx&saYQFu5Gk~kv~xa^odJ?sHPHKYKtIiZdOxut|1CE3)X9cc{In+H{nqq%nl*iC
zXH8lagUM<2V9M$@n7TC#qO#3{D9~vTP5EU-(+*fs$V@A$=x9ZKFI&=~AWQPHvZU^>
z29jF(Kx*qTkWhUfg`KpZ_scA3jj;vwd1y|blFX^W*__@gnNz1?Gn(sTMmG%2X!_j&
zq`heX-E$g17ykCAn??PpnNNQj)w4g9-ZLe~&8GCh*_2K+Go_r;ess{UAKfwONB=$P
zOOf09QfrUCRMe_31)Mjbsq0K=`d||ZeQ!)>bB(FTOk>LEY)pL1h`z@g(X|mqRHb4>
zkIMRx?y5etz@iV;zv)ej_Vgx$8NKOc=iYSvb}y<=>_sZ0deLz8UX*vPC-n>JNmbaB
z!oL}k_hCcwTw+Lz`WjODiyqXps|QW??m;g)_n`PY|B*-Xe>B)#kv58Pb$8kr-JPB}
zb*Bl<yVI*P-6%Dv8_kq%<np^Kxs`S$-&I|yU{F_5`_hHhAMQf!{JPK?vo5r;sWYu8
z=uB&TI@9)kofYe^0a@f3(4GYbWNl(V&l)>XL2f77Jiikq8F!*Xjr!D>t53W@pZ1&R
zll5yodYGq2S&Q^2$W)J3zw1aF4|JrHz8y*3q9gf!(xs0_bSZv?E;(82Qm3CCNbN)i
zYP+rjSq<qx{>?g2^||&mG@?D#jA%~*t=f}Z)uAqlI;1;JhfMTz$m?D^%G}wGRA;oK
z;9l)Wzp*V{%5O_4zHMo(r6S+kP|ArmbSbC}={vNcVD&bna-}t;C$=UJ&(>tvxiz(V
zq)pm6+GMg&o2Hp*Q^6N4(mk%FxKCO%&{2zCXlhYWZ7bTIqR5n1RAktSUNmZw#X(I<
zUZF`ktVy{ln&efbLESfLkg}Hs{pzYgTF=$VdcQga`m0kNs*|gVI^C^Oqo71Jl8I{6
zzK0sAylP1rg)PZApe1?RwWNa@ElKZs3rgMAg3M;MpoV@eXz!Qi6nU~at&eC<8%H;%
zBK_v{`LQZF=c`i5a#a#rRl299N(t9gX!3Ry8Zt+P&`gC!{cJ|7&NZWB8=Fzv3C$?j
zuo<bnQ>L5}WttSKOnpWvlZL)BsXkSr4hNKo1C%JxL5Z%lQKGda|1i|;9~M9Vi+bz+
zVory@IDP*g9O3W>r{4dK8OwiTYwh2dm-7pk+5W<Lbw4qB=})ZF_=#h8|4_JAe&FTX
z-|^DY@Ay^oJG$n4!<r%AaQ(fnIB~^S^ltkV6Z5}dlhYSm_2e`5TmKnb8GOc$#h=jC
z{Sy{6eME@;h#!nT;`Q?%uwljr?5OksSMPX_E$}^-)iq)IiYCl!--M3}-{H_P@9<L7
zTMXLx7N?oM#krT?;MRq2@QcP9T(j>rnmE5kl~=E@dGsp<ujv(rS2d#Q!bZ&3Y{a$s
zFL9;oOH6zB0-wjfz=`HB@Y}WLSmys6^K_r%nUZIyJn0$E|ML`oq(8+&c26<!*%O7c
z@Cjb-`$X|g_hZcQdyH<nkFi_nBkVZ!5e{zl2-oE_;9KVg3~hRdLz5n2Z<~i`@!$c@
z4t;>9j2__7EBCQ+*?lb0zmEl{>haR-dTiaQ9#<FMQ*Z$9;pu;OF+Jxl?sC10)t~QR
z*X?(3i~Sw6cwL8I66^2*)ZyF5x3NdeZ44ZE8-L%sg;^VJDLC-A6rG%#=)e9Z9yGeC
zaDd#vlr=XL4EGzTbM-o^ufC2w4X@*@>T7sm<ux4B;~M_ET#MIM*5bt;wfL;M279fp
z!RVefs8e$l%hz1R#6DLs^7<9bT7Lx_`d&f1x@x?zp&I?ntI_tsWi*Sqj1Jb9aqY89
z3ZCmF^cr#rf4!~3)7z>rZ$y>C&vFr8W?w|~xQK_ET~y%oE?^7q3;0a?0=_7##8y6)
z=-#;!%Pv*mh&2`X-J}99-aU_H(dY3xoJY;q=Wx!pbNIyNoPuX@7VY<+#oklTDwsEC
zacub+Oj~*eRSnNz!j01?;ipl{`m~~lU5;(Gm*cQe<+xR;99thgg*mfN;WWKdXmjZ#
zTCO{Zqs>oZ+|x3Aol=JLUCL1H-wC`>cmns%If1#IPAI;!KaN_V$I*B2as2eU6q7R)
z?)Pz}C<<@7-Kk?Z$N!ju^>qxjAC_QZQV9-nRyei)DLlLihjD|#4XmQ@?K;#c9I_h~
z?pcK^_2MsuGqO<O;+(H=jCL==@Y_f5?8YP5P2q@3`*RpAiw@)4MThac!U1%mUg3*L
zQt<O#6;1&K|NU~Af(x}m!6+J_;LRxd)D;<uF2Dpuho+sPw|V&hW``X>BijRb@p}PA
z78c;_MFr^Hy8u@=?8k#?`?2}B{kW?2epIW<$D<qaF~l|>7yisczoI-$_RUi`<nwUw
zi+y-FYafoBx(`)4?ZewQbMeBaT)gF)tKjP7;)sg9SP-%o2iWe#>R)>>vSbf>FW-Y6
z7JG1ZQ;uRz=V1N(9JK3`gXf=S<E*S~?B<<~-@0Vu>wCNL*Vf(G$7?q((cP`+P3=PW
z&AYH^%r4y1W|x8ko`nlGX5n(zEZp8I3m;s{M2gA8qt2P=qLGQeE@oh5R0bA|$iRc@
z8F=MlI<|~X$4SoVSf!DU9+!6FkC>f!Y~)T%(%Px$JM6%1@jI|$^bTy*ZU_2Y-;Rw*
z+j0H)?Fy#VcKmf`8$Q~m$dqmPtJ^k3cR3B$?@q&)bJB33ahifVuocS-wqoMat+>u|
zD{lCfin~fvv3_kT4j7t>+f`H1@InfnjY+|^ZYelMCq>c4OGbxn$vAsjGNv0Q<Hr|U
zaBBV*eCoReL#?(T{!GGFr;-#b-z0_CA_+TaC!zE8&6t|H8UIb$jOz_Iqh4boRuv>-
zl7AwughX7Xl!y@(oA5~NCj2pW6ME`z!s>?!I5{T)ReTcg%)kUp`x%eXr{gg(G9C-v
z;_;PkJi>#Gn3cT|d-!a`Qp=6F;CCEaoQuPDv2m#35r_Jn<8a8+SX`eUi#Ppa(Vk=R
zLi1RheI*9<Q)2Mhv>3c#6oY3zMB|OpX#5izjqDnYNxIRBzH<~t=0;(!Wl?yCqHuSM
zC=9EK#I<RW7&|Kx3;Rc6)AtCpI~#%daS>?h6@lk^M4;c>a2#9`j_pFjQFT-}w$cwr
zlc!-g?LZjr3kX9^$1n_O8-{J}Z@?paH{fFb4Jbo4V9!<?uzOu7TI>$RiN2wjN}>2h
zEfmMy48a?jAvk|=2)0MXxMc|LyAh1ZnZcN{I2a2s81JeDqrt5p^xGAL4}62rTY~VL
zW)M0aUXK??t;ZFw)}d?oI&|x?4%eJqi?tKi;+SuN3V%)@UNsBE%hhY}(}FcPOl=LG
z%nraA_5nEH(Q53yezn3~u^Qu#uR`UCt8n}GmFS(a5?u$aRCEqkV3z+1)M&o~(+)33
zclYIJ`N<z;vp@O{^v9~}%h1(-8GdiS3@;V=Va0eqZ2Y!V!Qfu1@V_p_q4mC~vd$OZ
zcJsx*r<dU1SxXdrs3q7ncQIDGELQM7d@y5^51zC1!Pa$)FnG-(?9^=$-aWGrPtRG1
zS2Px4vjYoovikxB%Vs`q*ghY}4xNvV&*!0c%sk96n};oK&Bequb8*;zbFp*f9PH#X
z2SsNNMjo4u-=@vR*cP+VasMpr?J*1c{+fy7vSwoTh?&^w!wfu<Is=ytnSq`!r=xem
zblhk?9UnD#qgRwSem3`3bdaZETIe*~-ESIRyEzqmuAhqAjHcqCYg6#cnkiV<YYINR
zIvF(rCgX&jlkxJENece+B<$LA68^q25&y29h=#o;;-Z=fShr>Z&g(Nl;k5F?59_=X
zE)y?QyX}d?Lp?EXfG3*QkH@=_<1xo-yn<6O4zuIODc;F(IN+5B?oIJPdj}5%bH*JX
zWw_&$QSPYrXDqtqjm44)W6@r1tim}z22af%g9qD>!Lw&a<2S$2=-Oj6p09Posljfj
zZ|;U)8%E*hgi)w7bQF4gaK)pUu4psX74J85#jL|4F>=;OjPEcKiz{4EX_X5uFm_S&
zw4E^{))^OxGfsFv0_S9nz$A|m__)Og9CK{AVt*Kp@m+^2+z3wSy1@yj40gh}SB`jp
zha-+0<B0cE9WlDZ0VgbSz~S8;aQuy7xFK?w!bdX<<%7L~NpFuUCfeiB*7n%<oE=)N
zw!^9Y?J(!bP}JHw6gQ6=iq@(_@%OPI_;AS(eAH_QD%acMkVIQl)PAtjKf$6RQ81+i
z9SsHPF5~D;jG@CBZ~P;)FD9&6Ot_{u;jjmYeUlN*Mj^VlKukIb_-O^;k^z9~FKzI2
zh7Bf9u)(NyHn{bYHCAr0#&%+j0pA9r(xJh)Yr$Zg*>kXhFEB{qXdHxN#tu^WQU>9z
z3M&Pl+zPKMsH`i$S|T2@#LkN>u~Q#Qw0t}e7w#B{C%pz@|Mmm1^r{8Uh_S#vP8O)9
zVu8(1nPb;A=IB1y9Cv>*!?p*_6pU;$v^6$ErRM|ie%1iIHEjUC>O25D-R+NaQu<@H
zM}HjMu0OuJYKnW~OmVG?Df+0J;_AwNm=V?wAKUjs+h+Z+xV$equkVZBxv#=MXM)+s
zO>lRBiGl@df}g${qg{zH=C3qH^TEbg^VJBWj~e0B6-J7=Z-nE&_EESL`e4b5KG<e(
z9|be2H?}G1jm4{a<0_lp3I<j$9DckPdIt8wAnt`{|MtZ0<vlSaxF`0p?}@dlJ#kBg
zA^Jrc;(TXA3}|JDyRY=X7YRLZn0pT_?a%|A>;A(}Y5!r-l>acH`+o}lM|Vuj>5j+d
zcgG+7y5rdQ-SFJuZs@kM8-9dtSn#(ihMwt)OT)Y3O6RVatlbr_T<fCnbazp>p}L@2
z_b!<Av@?3-cE+xYJEQWz&iMPA0k$qPKnO9wbxsC&x0L~oy4DHrrgXw}Q#v6Sc0%n&
zef&|NkH7u(u_NlEv$8%WRqEl_I6d_B&_iVdJ>2)GBQDt65$%?AMDsx%(fW_B!b_@)
zF)_MWH&z#^lP(rN>VPA1JK#s(4p?a20i%>U;K~c_F)*P$rh2tkFhAR4hejP-aYzT>
zt=7RnJ01K_Q%BKjZiff9x5L!g?J%W(JKX=RE#4__i=Cs};&S)4__T9dT=2XNwm8@Z
zOIEkRAp15rRjZAnKi?XsX12!l3tQt+tJbKZ)EehhY2$+=ZCo@>8{3#@W7TIZOgp88
z>!Y<WV4N1lbl1W|uUp~UqpeUvT4A<pEBsHt6&`-7sc_3_qHdt3g7K`0S9LV;(nAfb
z&(lDaRT^kJOhdtU)WEOx>bNvl9hFz8V~(9Vdbd``0rhIwE>{gTR;Xb|do{FaqlUis
zTjKG3Ezw|AON@7DiF!IM6}*xbIIo}u_77}<>dr0jd&d^|`&n~rf227M32BbOqnqQc
zuFVzhLRCC*ToqlTRq>;jD(3Z3#Z_NbaKd>N9F?Sko-<X@-$Dhml~wRnO*6F5Xod%t
zG*g`Cn&DaPX1L&iGWIG^#?Nb&6=yzWyxc_@Z@yK+k7Y{OW1|wzo~nc=`YYkczyH7~
z{U6L5@(&I^`U_n{|3YEUzp$v{54g_z10EWGAUOXw+!*y6TtEDRH=BRK!9l+u?aoiw
z7x)tzy8Q$^`vXqQ`2jODet>Dgcj!9yJ6L}G220Yu!BzPN9#6i)--xeJ-R~=$uKfac
zS9}4z&R-zl^k-0>`x)|EeTKloPvGnI38Mafgo@oCp^wW)$p7#G#;1OOp0*!A_xXG1
z7xx}!TfT=g_nN>yv<Y6CG{M1Z?_hhtJIL?x4jxv$1*>Im;ef$g7<ujuwDNfaO&#9A
z*ORZI`@GlS)AlvoFMS0|X1#)*+OObuaU*=2-U#hmHG;>{mvGekC7|X@cwF=X^1WX`
zs^$yGIr<!KO@9u?TF+r;$uqE;^$gy%eg+qgKZSF1pTc9Er_iJP32a#O1X}7pf&BB2
z!O!n8Ozid;W?p^-ajPG}o!*bY@kRsO2yTGT0S(}O{~-*Ec?jce9zxWM2XKGO0~kB(
z0lfHlA9iHk2mjIcVd1}e2ra0G<5TLPy;eQMowx_R7u|!02KV6DC57#D&0VPOdly>P
z-+}3|ci<k~f#q-Op#RP~Xz5l5N=kL0f9N)hnQ<F(b#6oV^S7XQ#VznLx&?N3Z^Gc%
zo8TfhVcq*1P?L27hK{=dwJmQzQ0a9T<#Qdd`*m=-ehvJ>ufcJfYhd`c7WQS-f}2Mz
z=&04gm*X|?Wl0UR?^y$5>aIe5>{aMJ^eUYEas~YNU4h}#t^l;Z0?rq!Vb!{7I5)5w
zOdBu5k)4-eg2!br(6|i0PF;c@%P&FuewV=YaTV-JtpZ)QD%jJ!3dWtd2;G-m1T~Y3
zp!Mhin5A9-U$+Zzxy1!=I9UnzmRG_?(@L27tO8tiRDj303JB1ufU@)Fq4T=)immB9
zm^Gb)r+dypk@q>s(mw}z*Umz1%vsQJI15Yvo`KiJXCQd#85r323@AT44X<~eh7Vq+
zp`FfYaH}qdy%FWm*{&S&f1d)c;#1Jg?-VpMJq1cHPlEoglQ3%PN!Y1>64Y;&L3~0P
zn2#)jcP-1H;_L}Hw*CZE;t6>F?KoH-ISz@w$3fHdIHWh0!l;~5=s2?!eswE_AN9we
zUD`2l@H_^a+aH5pwI#4Fz61<hOW>MD3GBL14DsQ`uw_^=6g4Y`rt+g;zg|H)=c8cr
zy9n-;7D4jrB3Ni$1QWj<ftg2-K-lslaN6<+bo_i6!Ve#Y*2@mVA&bMX=wl%aEi8lq
zeuXf|q7Xbk9)eAUhv2E-As9XI5ZwH95SAS|2qw!9!cVJ%@Z{?OcvgG>lvW=AOE>^Q
zzY5^li2|6pt^j`67QkNR0$6f(Ke&bM2Pdcf;HADFf-mL6*|>b@GCCjP+vS7)%{(}s
zk_Rg$=D~<Ad0^SF4+ihr2V>{#gD~TLQ1d1iEDq*E{<2(<!MX7A=U&J?xfeo0_QEp9
zy|6}OFKoNA2d*XVf&V=BK!m{_Xx@+mX}fd4aefYH^v{83AG6_haW*srW`mMlHVkf=
z4dIt}!<$XJVV>u1_|<tgWIx^obN226S-cBOEqB4dpIP8mo&_P{S#Wt|7WC7}f?anq
z!7L*aZp_J4yjz(t?Q;e=9?t;#kPPq~kpaPNGT`*>bm*9#4xw|>p+*06NdK}EMwRUZ
zov@woZsbmQ*nTHGtKR|2**jpM&kk5)wFB<_*$yKsw!_Vh+ri&+I~aA}4j*4`gW5ye
zpdw%!)Yxx>_pP=;uUl#0o1O+W^U}b<LUH}I6@1Tcg<kPnp~-72T<NhD&b&#5OGi_o
zF(?%}yQIRb4ykbZVG0b~mjb2!DKOqP1zKvPz~vjskdvMaTNWfks#P)^R7!^Xm$pFH
zlr7*tV+%Ym-2zj7B*FW0Nsy9|1n!fQz|bfOT7KRP|4wa&R<WDG)N3=$=(!p4-Y0@u
zSt6{CN`$}T5+S8WA`ENV1kF!ug1eEM;Ow|fP~Kw`)HEf)=MxFgFFFBMc_zT^o(bUm
zF&=78#lwQQc<4AO9_ozZA^+<}NIJI>;uAN*PVbFS-hU%}`5gyxDGt)M#)100IEWb(
z2i=>;!G-Iw5SkSWW0%H)<&an~ZXF9|4`RT1e+;Y)jDcd87|<|?0pC~A(0D8w{G+0w
z-Gpd3YZMLP-=kpig(z@Hje;TbqF|JD6f9PYg3P)|c)m9hcy%P~84;;C{zO9Is|avE
z9sw<4BjD2H2-syB0darBA?j*4q-2Cc@zQW;v<nB*_TdovEDT;B4TIT{Venx>7{vDt
z1KU3vK<VlRxSp{AO8hp!fngh<Sa$=|z6^ywrJ(?Ep%67K6keH!!erG@Xt)&u%X34(
zATR{3j|ze9|AoNH&%rRWG8nwmf?<hIFvJfDhH{-?X!arq#+3#^X<QJPO%H-%%OG%5
z3xfB>>tWWk_3*RBdN@?D4x-1egRsAAAuDGsG>lpcL%s#Vne;%IJv<OhKCFQ@X=|XP
z{TdkZCIF(h1i%*wfZ&&_p?~6P_>HUK^|Mv*D}EL9gH^EZ=}LINaV3P>tc1Z&SAb^x
z3Q&R-(Bau~a7kDWnYbMEUiia-M1Png{=l!6fo1YCaIsqkA@BU)PMRN#cJhN4pO(VT
zjHR&Lbtx?T=?lSoe4*IG7g{w_j1Me<4pWxEMU5q}y<{<LoU<4*+AoIMGd}R&QXfd@
z<^x@?EP_jciy)=%A_%#=5MrYi!V&9*@ax3_n4Yo#o;xmpsIT+EC1*bL9X}sTTFeKh
zqw^qS&OE5sod+J3bK%v>xv<k{F8JP=1Jk4DfG^I09dBmCiygDU&22W^RGO_&&dvgy
zH48fF&Vr5?W`cRZOqkzqCY*XO11vVpfHU?p!1wEPz})FzIC(l4wVn<xXS^Y1xi`Et
z@`f4p)8I$^G}v!H4c2{|3Jde5!t!ZTVY|*$XsDb5LjtEjnb{N=|7<d}N}CK1Moorl
zmB~<7G70|qOagnuNwBMKB6Qn05sK|6!onXD01r%nKC>sl0D}qOUh4&$BfOxAy<qNV
zPx!gd6LP0}g1??8OuRZCCWnuQ03HvAKaYc!`Qu>a%yH1nU>xkd<^c<$J;2G%18je~
z!`MQ12wLC{7kjva>AkU#zj-V;jvNcWRL8=lvN3RU#TYm~U<}-QIU01cM#I8Mqv2lr
z(J=dp8)!tj!Ns9&u<O?-NGTcx*-J*j72{FR_Ngl@-suX@yj)?0jw}3kWh6Y090}*`
zN5aX!E>L^S1^)WGfP<L}WWRQXZhM^J@C;{|-qjh5?v4QU<Po4Ub_8_P9s$FuhC@vF
zaCmJu9A^D<g0IJ&AZwKq%(Zd?hmVdx2OMGKB1c$m><Gor9iZKA2MC|;06N_q;8^`I
zSd}&m+`NW?t?n=we#0K-C)&fV(f06F+a9J@+rhIKI|z2R11ohqXm(*Jya*o(PaTHB
zPt~DdbZ!VN4jlrQ?S_C|vmsD(+7?y>+k)j#ThLI{_rI45{0$Q5JXBz;vOvaZhUOs*
zA$ANMRT$2mC5YHSFvEdhTnmC}l?cI+2&E$wSaVGTzsmq0;s7Gt04&=Ae7|M`H<E0i
za=Z=H>e;}@yVhW`!x~mkvxbNNS;M5KgW+AyU`U-m7$)=^4CYOPpj+V}=(&6l*jf*Q
zrN6A8^rRK&hgd<pgB2L4TS3`nOIVR$2@W2XV4`OUz3T^pb;dyOo;6T02L{5&Hx@AY
zkOkB)w*Wt|fUf_{q2a7Klth|Cj;lHBYiADUZkxg9?Pg#z!wi!8m_hTm10bew0Q6Zk
z0P1)Eq^k^oH5dDXPkevyAJ-o?8T5y<k4!;huPMx3YzlWQO~LzDKlpvR9~4CPgXM1h
zV2o}*u)E(EhVSkRGZ*%S%@%#3?uQ9joHl{XNE7He+5}E?G=cdKjiK)zV^CgV3~vT0
z^4AEIDviK6-U#M+8bL`nBk20F4{SZy2aHztfy+btzy^&zF#39LFx%c6dd=<){rmR@
zmv6lwu)G(Xj_L)S+<QS}=U$-kyeDKF=m{fM_k<SqJ>hn%o^axpArxg8!kGnz@Wj#(
zI{xbc(=Ptc&~?Uh`9*Pi@4Z*HWQ23hqckXOBqC{uq!QXuLN=LMA<2l0L}p7O(U2mQ
z5@}Exe;TCt|6Y7Q=X=hJ`{H@-bMCq4x%V6m=31%-qrXLisnFG6Y$nv1uQ$}0@@RGD
zgrhp+p`y-g8dYPwuBtKNC)Jp`Rcg#%X*I@aNR_!=uF5Pvs>(dER%MQgsxl`1D$KuP
z73S4`73LA^*85Wd73T9ZWk#kznc3i{%oJHFGyHtY%*h@lhA&@<DfCrh92q4>idTsl
zd8){ComXV;`6@C!j3P6^tH@~fDloe)C@?qu6d0X_3d{uo1;*&PJkwPq&x9V3XO=CI
zXOu+c8Sd9|3|pBTBYaGbF|?Iqwo1z}1;et;)D>A~dx$L4zfP9%R+eSB$7Gn=CK={P
zj105dMTRlakzsUyNi!yG(#)DO(#)|P(oDUnG{egw&G>XnF|W=`G28v6n8`&_%z05M
zX44x<M(eU9!*NoQ`M!<?6-kEun*=lGmISjgQG&_YD#45!Nidt(B$%g<#ToZ}ab_|=
zoGDx?&TN+yXN=#8F=Dl1411&)!?{t6k<k@nm?=@luTzw{nk~u*_=++CR-(+Ps3^04
zNQ4op5n<}WMVJ6*5oV#T2&3>vnBjdO%y6F*W+eTE8Plc0jE9skbK!#!GtnT#Y={$L
z+T4X0TVo;S1&0uGyjPGhDiLJH0|lA8YXzB0YJ$wU2?6H9T>+*(OMrQ`SAY>;EWkKR
z3NU3K_!+S#ekS5HKO?Z6pUE@hXKeWRnW=t0=H_KSCiN5_E6(9#d=2=RfLUH9;wdjv
zdXblT9mLD1+4C|7G<lh4lRV7Ihdj*vd>+RAFb^}ciif$Z%ES2m;AR$ea5F0BxEbLC
z+>GD~Zbn|2o3R+@Vm#Wpm~%N?%xC}?V{OaDR48#V+T)x|WjiOcESHlR+t0~dSi#A7
zt8g-wKR6hbP7X%wJO?9wn1fMY!@(@p;9&MmvNL6m*qPsj?9BQgcILVRJ7ccPk~3_~
z`d&8XcNrT~7RJW-y0S4=#%zoVFB>C&eU>D5&ys=MEN#0xL)8aoNPW%>RdoL&=a7G-
zWb}__U;m}q_`jsI;4e9Uo~H7%)1<m;nl4ZMA-B>$r0M#H1o;1uP~#LC_)O7G`6;^5
zF-azYlXP2ul6?DrlX?7al3)0n6u$l<$oob9_P?l&{TEr({G=AopR`-%C(XO}gG2&<
zkigs@q&_e~8<HldVCe)2{~V{(i{oUrX`H?bjnlnb|IxMm|52ybfAr(|ccS?3l(pzP
zNlkpCOU2*FZPPc>5&1?UEni9O@K-X_|4Lp1U#KDF3u)Vap~~qoa;O?3QLi!jC_hFo
zAAP2er#_P?eI|#mpQy6n6KT1AqB@aJ<k31xx`Cs_XFN(AA4W(fXM}9lk5D|{2z|Zz
zk#-;YNNjUIQq|iJ6qxmaw%C85&AcDzz|Hqmc<4QSoBN&|-@T*m?02-w@g2zvzN6um
zVQLQ?rdHEodim)s2^72~N4K|BEBTg;9}H1j_z)dn-3VlU4U)p;L6Y1xNLuQHWdHIF
zrKY~2Z)@I=C(j!izcoNv#|Fq{{s0+&c}?mUUz7g!*R)3QHAVKmq8Ev;$Y#|mYUg@I
zJ8t!pY+yePoAuMZZ!f9s(o1^j^^$niU(%XaFQ_!*1*tf`pfZscWZ(Imgd?BR+a=Gb
z>t7%BH1^T=Lw%%a+DHChpHa`HXJqI7jNZ<9M)8Bav@W-obT;*poNO<t_4Lr<<Q_V*
zu7}zLd&r>UDV0P%r3E%m=_C77D!uiD!cIJ){gzMY*i<)V)OXW^L)|22)=fd<kLhRC
zV~X^9O!MYFrm?Xux?R>q6}!8rO0SDLMjp}B#YeQr`w``6KO)f&4=JnYA(7WZ`mXtq
zZoGRy=L;WDmgfU1)qFr*@9vXe(S36Fx=(Fd_sRN0C-oI~QmA()Ez#{H+0hQ-ywpM5
zdpbyYZU?RYa*q-#@6m|gJ=$n;k6w+p)8VV_q<y%Z#-N?rr|we2wYzll#9ey1=q?Fz
z+$D$BHmZnhBbAkHR4CX+iyyVpe@U%W@7PKyGOZN$;toaU+@XT4cj&3c9g_RdLi<Zw
zXlQQ>c^S9Rzlqy)ss1+Y4Z2O%i*Az<CkyS(WE0m+`|O&jT(X&F`)-kU&Mg|=c8d;b
z-6Hu<H|c5RP0BxTlTP7H3jBA2B3f=xVbl$JzUBt0N!+00eb;F$=Q{a&Tql0r>s0sU
z8Xc**Mr)2;BlAVq$dvmUS>JD>UCB*!eq$4jDL2uYca7A1sgYI$G}16MQp!vNIkh#A
zL3{&AJ2sG{LIY_I)ziw7dJ6Tcr-v5xG<T+s^4jW1>vSF6+)zh*l<LUfT`kR&)zbR|
zwX9PUwKT?AOF|E>(xNk0DPr?g8qmB-tG?7wM{Nzc1=kRpZ4EVu*3hZv)wDgon%3{G
zCg=Ip<oovurMF$7Cka<b-Q@~}sb8UApQ`A@)hdz+uA&y(Dhd&=B8UFVWL9*U^!+ZA
zDP5+uoR=x^VI?(YRFa@aCHc**r1!rnXy5G$;*YPOI_C;Hq+UVG$I3~szMNFT%1L`|
zIW3ker@g~vbg8n8rjC`-re$UHP^^sBzq&-D7cWuDflIV@(IwV5e2IQPE2WPYN@;Xo
zDg9+iNu9TpHa;z(yu1>c+EYTFSVBWwCFIwAkwnj3q~_fhDGV->GuK73>@FsgbHzk^
zifKI-({b)%s((^MT<43(!?%dKnIdxFE26i(g%n;;NDxp+(^iG_Sg4TdUKUVANdeU!
zE}%y?1vDv9K=X$#(8<desQ<(TTCwH=-Bq|iPNVtsqduPsBlF42DW5Df^GR;vJPEX%
zC*kDtq`vJuEi*b#firn@>tP;A<>pb~-aPtlnMX$i^GKxs9MxVrN4|mQ$b8i~5>_}z
zKSy)vOJgqmipeF>O}T{nxfJjxhnhNbNHRNzj_=8#pO!fkER;jCud}JSBAbo{XVX%<
zY*JLqCa(X^(%;)>i7WLiDS4hH8}qXi#B-Kf`m#vAG>c9KX3@{pSrnw4MPlDFskS+j
zd{Q#W&@+?REHY`BH<Nl_WKdsO292D^Ab$G{B8?0>`Xim%@1~PhRyw8ZNhcAjbUG`R
zPUgdD^rkkAGNaRIn_C*;yfji}Pa|no0IqQH49yEXLk?@t&?&Vu)H;z$Qthd9;A|=l
z`KFTll2jUzN~N%o6f(G;Lc@tERJtRDf+2-G1XIZAO)@#xB-75QWQuT0rfQ>P`pTJ1
z_&kY{%adp-B#Hc-lIVwC5=G4<lHSuqdT}w4GL9#br$Ztw(q`GF6G;7W0_hYbkY!*3
zZLv$BM9l<xG<BL3yH3-Q!qYT#>@>OBou)UMr|H0-c#?h`Pi;l<bSfyG>>T1rPbZ$l
z|HTpS(>M|=jU(lgakS7Wj`kSD(M9$+`mZmRR#wJRWq2&9yT#H4lUOq0i=~GHF?6Ih
zhK%B4=!ZuPwNnh0h{aI)$7o8q8BN(~(Nw)Rn)<AxiC;0AR*pwedPfv}KOaRdN2BPW
zT@=~tMA6_(B%OE`NxGGhG#C*{MedPw)I5@0gd=I$`v_WeBZ6$xB51R31O+dPpbF&(
z8vPkgrjNoYx;UIZ2Zxi}#&CLJ6i%Le;q-U#6y-ObqV*}KNNmq3>bE{cHA<}NL_fnQ
z_E8wcTnwYMkT9xn4WlQfVZ<dAM%M2`De-0~ear}@H36Y?b5$rU&<v&ae<8HBFN8R+
zgwWO45DM@NAxo<e5|<01k>Qino^g_Htv*SQXM^caO)xFo6-=2*!6ejug0dn`&?4pp
z{rh^HdJ2wHtIKhEAbgy@v;>j%(I7f%7({R129j51AhE3rq#DjZI@x%PcK98mty;(E
zK>txXpL~?w+a9H*Ge@ZY>JhTpbA(3Kk5KXR!xWTwn075cOuqjPQOwmtbYssU;-7Pf
zd|w`<k>rCEwDKTnv$J@^0c!C-KsCAt==$J(dX>4Kq#X9s4*vbraXWx)0|V%lX#hok
z_NO(4{-opXPx3PUq|xO^OQZeh*b+Z#|Fe(gUfo9}zWc~hXCJ*E^rhmnz7)K{mwZKh
zY5%>wln}O;ZZFtN0>Agr?kjs}XwM$nr@e<HhIZ3~?A?^>yqm(scT?B{A4-q%q2{GN
z#6Gi&TpD*#+reG5(s&mQfA(g@Y2M_z!<)=iy-BBkCmChzq_vJaDO7YP-M{Ze2GL%W
zZ{tOV>|WG$!;>NdJ;@O~$>PTjGP<&Z7Vg_Y+YNS5_J{|4D)Jz^9Uj!7=0UCl+i50y
zJ2kp)rx@Aow6Av?`J`^6V-DNsoai=s@o+2Y#c!pARa=RVe=B9QZz0RbE%d`?3*F(|
zLKj=y>3pa=RV;R=uG!7Rb89oL58g~Q3pbPAKR3F1-HjZNyAkgKH+nq1i7KvbqP(C@
zRBXA4Zcn??f7e{e{J1M6EO4dizb<s*h6_msyU<N57N6Zn_RSj!LO0U<r5nkbb0c}T
zI#XVRGmR~GrnP*|)Y9QZtK*z#WQ`MLi8#@g#~TPzHjw6q4WuQrf#|s-Z9nTsxtks7
zi;5#T46Ubo1?$Oi=Xx5~T~CFd9cXu@1K9*PkcpWCnf|t?<xTdq?}R;-F1DvhPJ7za
zZbx0QcI2|oj(&*SQ9<uI+L^VE7Pzlt#gFSq{ry@pDP2n&eAiN}$y$2)a}60at)X+l
zYe>y{4b}3lA@>KXNiKOceQ;V$?Fy@@>CGx?E?h+~d{z;+(JHd}v69jnSJG7QO7gd1
zNq&~zwSsKYRuH$_3VNZof^L1VrG|1_y0hPwhR~M8XP1*>+j1(2TTY_ums7Oda*}$p
zjH-*4k;mR;q&a^XO-|X+n`Rq&9%Vzr>uiWk#)gbuTa$mGHQm``O}g`~Deuox(rsBv
zcVd>3zr#{8l3z-*gG*?rWC`{9FQI;1LKAFDNU38nZA@NFg|3T<Lt`=R|FnoEsuxjY
z&>}LhSwurZi>S2Mio(uWk*~KE`50T#;i-j`*0PY=;uaE*(?W7pSx7fNE+Eq@3#cJ*
z0omIupef-6RMW?5sh)31oA$8U|C(FUvRQ^UbTD)<m0|flhCb>rtfUUnx$8udQAAk|
zM8-<2*ZTn}`3lme<49(<NU9P@im!omN`Pz*0PVK|s^SNl?XjRO=Pl^b9t*Mq3mW9G
zps+{gWOmk^etVfyr-?aL{4=Bc4l^oBGo!}sW;9@EMv{N#lgr)tRGBiLq_)ndScCZ_
zHfc)5t){dl*_1f9m{O;{Ddqn*q3Bi<I+<)jky}hC*T95YCyi;k&6t*^8dKIbW12NI
zrbE+4G=0yAlGBX{JdJ3~#E7oU&ZEeO^Jq`@Jlg6rk9NR3I>J4V&OSAyhxvvi>TgKf
ztqiF}$dKmu&!w8uxnzBGF1=komy)IDlHEH4Qm!$eKcNQn!QO!0sv6LjulmG$Q=d#u
z>(lPd`c!S8PyEw*<kzW3@3Zu1w~rpppdRJ(>5=1eU6Lx%rFTbk>5i=~U6IwL%8xqK
zRIfw5Q93lcQHM}hhe9T`>DfJP)?pTHy6mG(ri?bV3TTsOzZOZBYf<-cEjqVWi;k&i
z(T;DLw7FT6b|h=kF%M13ov%rcxim@q*&Nz_aSq)&I)~=2nnM>A=a9)44eGe5LH<b^
zq~)POBl9(=iCcrt_Nh~JsX9djsZ-Kgbt+X=r^o-P5l^cctx8v;oLy?H7*UOO3#-wG
zH>%`ctxEh6s#LX6mAv#-N%x-$O?9cz^9w4}c1VSqSE$fEMHL$Os!SX$%4C+NOb2%<
zQ;VfCsfa35)LSK*sa2v=F-j!ku0(aL3FgVAL~73!X|zm{nolZHk)tAI=&&%YKt){&
z)LfuIqem1-b&Ue;P*b3*KjcZWL!M6N%F|>3OD<>Wit<$ZO^!TU<wz|{jz0Oy(e0&j
zR3s}$8Dp}Pep{9<q|4H^J+d^kSeB$^WLfzD87gd+q1iMU^4=puuNKSD78x1(@>!Z<
zZcCGChBS@rm8P<#(i9{oO)g)hXlbhy(OD^4=r2X<mP^rIB`L}nm!z(Hk|dcYNuGx!
zsb#e!8EQyU(WC_FbxBZDkp#IMmmm&D32M}npc8Bow6;&2^ee?lDngtDHj9(+d~s3|
z5GNcGqiqdhl$Iz)&vuHDrj-~4ON-I_F;Q}96{WsxQQC1pl%`jSQl5q=+5ZtC;U^;W
ztW<=`Lq#aTRfLY4h|pnv5jrs>Oi7KxbU9g=Uit`=_)=kVQV^!1aUo*AFGM~CLi9RF
zh}<^_(db+u3gs3etpP#mtrMi=L_u=hB}j%#1X=O3AWe-6(0}&@=x3n-aR&>K+C~Ag
zH5Q;iegSHH%THX_`Ds%cKV9F)Px>qPsZgDt6(jOdQx6|)tmLEFC_bv$&PN9<`N&F|
zkEFlx(&Rl}`f!1l29NX7duLwyWz0(wg1p4M=ON!)JXD^=L%$C2(3*8TRH4g5@|--B
z{F<Aj8n~$-g_{=oa?@K|Zc5eQCcA%JB=ek$Myt7~{WKR<?c$<BYc48K;iAeZPHOGp
zr1zIONj#2|R_x@Y*d?6wT#1uRCOIhWDF<;~=AhtM4&vO&L8(hPXr3|$^-Qu;L=QVH
zsbVL-cy@Z}%}({!?3Aa<PASuDl-S2c88vKlDUprt?O~(;Y}rUllZ`yt*vPGM7CHCN
z;%)s|JTp9lCvs*m$Y}->L}swQ{U81e`G+f+e^@>77mX|a;+>s;aj)86)PFgR|5B&%
z{n}}K%R7xfZvR2W<9~3Y#UCvBK7}G>QyAklh4N}sc=P2X9!;A>Tl-1W7o0?myT8#W
z^fx*z_>ED&f8mqrUue4T7Z&UNLZkOT@xl3@7`*u>+Q|Jx)t(<HlJo;5*8D(yz8|=;
zbpkU(Ch*IG3EVg}j=i<x=)Hd&g^k9s{qujAUh*Fv^ZF0{HU7h(H{bDW&Ubw1`W>ZY
zzoTEzHylX*hTHAF;iS+vEa?1-9?@UXZ24DI;QESEEniS0<O^C`eZixD$MAO37^)l_
z!vq*ZiC>?w^y+8aaNsjan1050-#=l;<xkkM?-M>U{Dfb}Mp3<d6utM1vYzEA&igci
zm8B!N)Mo@obw{vZ<Rki*d_?<QAJJO(Bd#3zfICV)VA8G+_*nM?&KZ4=F{SU3WA}SZ
z(0`9}KflA*W$!S5?>jtd_zpe34&&C#!?@3X7?Vtfv2FY<3SE7RI}g3ZrxtH<{p1k7
zYaGIupdnnma0mrv2k}GmAohk0;xn5;9OW5A(T+E08}|lN*1o}SqHl1^lK~t&Gk^y-
z4xoa<06uy38gueq<1vrdxJ&Cb`i#87<7KZff8Q&7Zt@D%fA-_?hJG9k>c?G+`f-Y*
zA9L=$M2FayD7Wq<{wMwt`+HwtU)BqJ@BRY0HC~{_hv#_g(sO*Y?>U;!e~uNu`w*`8
z;ggU)Jh`k7tpxf|r0W@ePkn~NF3)g8`5Df<?M1DUUfkl_izTML$T``A{x^E?YgiAS
zSkZ$jB0c!{=~GP2dWzm#pW<4rr)cx}39h;F1ig+t!Ni46u#@u%%5-+)fuwF6a_+`$
z%H8;V_%SA5dW_ZqkC6u-<I9;Yyw%o)SL3^|$*~K&6}oV0=n<NhKEfdXN7xIGaPjOz
zymt2?+9o{2cTNv6S@|K_y?=np6%X+5!3X$x0SjCYaQeZ0R7$&#Yu)c-qSk#J`qGKk
zb)8rj+=*n{i4R0O(f@e|YUX#~h))MzH|@au>3f*odJnTt-@_{Bd)TXb4+Tcs(XP53
z3xnEGU|Bnch_oZm^ShXne;1eRxr@Kd?&7tXHcYzLhKEwxaQEgm^wVy`@b9fy($tEt
z!dp?zt`!f;w_@M$9b8p;2Ol22gWIg{Acx2uy!yNa4;8fF@_j9+LoF!F#X{F@)INI~
zmwDaB1ID-U%5*c%+-=59Db0A-y&0G2HRJssx6rHk7K+5*!n+%9VZt1i{_Q5NzIGEA
zN8Q9_jyKU&^(G$wd;=@%Z{W96H*k^t4LqlG1BFJfV@&OJlnJ|z)$6XKyCRE^T*HB@
z*RVG98fLG%hDnOo@XSaPUaW1xj<6>DW7mYF+=Nk|8u49yBictaV(0osbX04^&tDoa
z<yr&U#x$Vd#s++?*?>34>#?%A9?KKzv2k-f_UPB+%w!!}wAbN@v^spUgT+nju!OA+
zb-QY@KDQP(?5#yM%UW#Wuf?$ESJCC-Ra|)ZDjF}liY8K5amjEEZmq7txX>DGv#&v6
zwHn;<ts2{JRwI*8jn~|(ag|{;e*Aj{QyyHw)j3yCV(%6FXn6%Y1+U<>{wi!LtHSo6
zDjZr}h5SlYxM=J$p1OV+d*d&ox%*|jV0amoXDYGyQ6(<StHdF{N=#i`iH_oxsP?u3
zr>iUQ-Kh$ExuF6Fv?}oXuW}T<SB?v^%JJ~-a=d9-j*`MGK2U}qE|;NaXc>N6Uxv||
zWjOEGB^+wMgcq_dq5qysxO(9wG!wmq`a`8?Si>p+8c~XyH<n_QUMb$1E<vtGCAjf?
z3D)l~LCs|)cuuwiwLV?M#_JbxQ{qMB_qd2{W*0Gm_ab_}EJoXkVuX-lG;=IQEA3)*
znkvF$4~nofuLwWvFGAzxMHnStgrCO>adUGazDzAdPwzsUW(qM+q!8`j7NBrl0rtfd
zV5NHjrkE697<U1ld~pF|DlTAN=ml(Xx`6-bT|mQ`d_4RlAMY3EqhU}!X4~bXjAlOO
zPM$}Thv%_7|2zgCK98{aJpNTZkB@%jVR=U$W}M5zgadh)ydn?tmGkh%_&I#vehw9K
z&!OA?b68?~4%wB@q4#($zG%<Ijk&ovv_BV*tjI-qm0Y|xk%Ol?a&T2%4k{nY!N03=
z@S|D|4*bf-p$FOc{X#Yh9?M2kyKMB*%ErR!v-qw1EG{oOi>1M5QO@ZsrW%|@d5*JK
z_B;z$Ue3aah%7AKoP~SlXCVq?q4-cH{;JQ!j|rJL?3Ky#DVaDcnTaZ&GjL@~28Lv1
zV2ghSimk}N-KrVb^(!40KT5~zMd@gBA|3lSq~qba>8Qq)j?enjFry|7J>$}F!HzUk
zvrI!#$ut!Bd<MntoI&;MGiY_-4DMWg2G7npgD<92aZXPv9xG49m*J_n+&vX<n5W`m
zkyL#2AqBl}rJ!JD3O4zt;GvZ%XsMBcLet4O@-!K{%9HVSL^9sol8o(;jQwKC_-8Z;
zHSZ*$Yfcho9ZJG?>ynVsO~P#UB;@T+#Nexm$d-_Zr@a$VYe^!uD<tB<9|<`3Q38Iu
zn1DAz6ENK^0RznwaF;0S*2L&(^ty8z59Xf6(??F@6^GL}XmA=8cuwP%!Fa4_ibvkG
zc--R`k1too;|9%md_EJ0-Y?>i{c0Q*CB)$dpEwk@iNkJ{ILw=h#iKp3=yo|4SH{NT
z60caaSsaTFim~YPD+c4bW3Zt-2ERqcpvjIHJYf}sPvv9K>}NFQJ&s1H@@PC06^$x8
zqOsa48XXj(@z2jFtmuxy-4#)28WV+FUQsx>I12A7MPc1!Bwp!>#JZ|TY>SV?fnAZv
zzAO^wsYjyMzX-heA_6CBBXDI(1eWfLK*`k+7^M?|+*}cOdN3SSZ-nEutZ>|ZI2^?t
z!|}dRI3@~(qx<M7G{1WaWeQFqd&nvLwfPkOWc{g_kvWCpKf-WccNlJ{48!oaFub`d
z3^|sEq5YgNyvP=Yd;_6);94k-WQO9-!=d=qF%&~gLQzpP6r0CF(62KDbxJ~TG$I6R
zcZ6W<k`VM!4Z(sxCo!t-BnIz4iP7^;V$r8y>@5yPxgEi{Pc<0(`cI%^<_Ube;RJ?@
zpFnza9NFWJ<15?a*vWMq@81r>f#4wIS`dT_rvfpiE)YK+2t*f?Kz#M}8164WhKjq7
zVV}-1EP8(wBMXk=vF%6kr0P-3czpz0vX9`b>k+h*JAzl99Y(FR!&vTk7?(*L#_x|0
zVP)bW3|@B#w+SD@4G#{YTiiiBxauJ0@gKxj_YR;z^Z|^wJ%F=32Qd8ZepHOykFCr0
z<4NxQxTY-t4I%<iX;}cOatEMUn?Jfm_~V&n{`iL5A1&|tVQHiv>e>3?HC{j5a&I3>
z#_VIwxqVnIun%+Y`(kFiFBYx!#a0nt{L!@+Et2<Q%=*3fRdO$S_U^&4^gS5ivImV7
zSiFBXHs<ce%&ogIT75Uh4EtbCkq<U|``}MKAG93Xg(;Q0aN2(t9-6-k*?xIrPJ=hD
z4Dv=^D{p+p=8biCcH+gzomjeZCterYiGy8UD4ptsZq8m<E$@X2uRSsKyeBGqdSbnf
zCwhF|fhw1G;OG52u)|^p*8lOqx|<$&H_QV+EcZZJK@W88+Ky$Z+fl@2JBBK4NA96*
zm{qh5t#)t2iFw<wabhbbHf+ViC$^&R(ye%icPpNLumx+Ax8PUjEeJ|mFlopgr;6S2
zz+QL!XX1_-zc=HO8=LWO*k){Bu^BIjY{t_)ZWw*m4O6$dVWqYkz8KqtQZ<`!>#<GP
zv}hA*@od8L4_wh8)fMl$x?+HuE6)Asg1;+V@X0|Jyl&}&bsR3(+_4c~CT&D67gj+y
z)r}bW!5QCFIHT<$XS}t5CApk&;Jy<^q&ndOHz(wn<Al#YZNMAV8?ZWX1J*6wfSm#x
z@XHfNRLgcmj~$L!W8jEVKh|UT_4UXVu^v;`u16D@_4sDM0dp=o;4Xg$v?d3f$Kimw
z_wCW-j6JS&w?}_%do2EDhhq(PxFpODi&opAoU|RD9ax73CF}5hz&Z@HT!+ZL4!OJ5
z;!x&VeBiMb@6KJz^66_>@%kDRid%zAoYr83>Kc4Lx*D0QtMO9sYSde~8tWxj<A#A%
zI9sv`8xO3)FsoJQ%D)O1^{hm*yp;&MSK><ZmFUB^5;O0wz~1x~sP3@>gA7;TyGdJg
zYqiCpL|Z)MW{Yw<w%9Sg9Aj=S$BnVealZ3%RMA+DvR{{>O4Bkli(G~->z84y$};Ty
zWP|ecHhB1y4G!7a;3g%O9I?j3wbrN*W{nTlS!2ASHEtSNiWap?Q7vpK%GoVN6{V$U
zI=Tcm)GfjAQ%kVLehG@GEWur$7vtlG#keeTG2U}rjIQd7aq{aTEV{l3x5X|(U6(~T
zqqPX%PFP{jZ7Y15XoZ9BRyb{7g_?gB;--5G@m%^s{N}k3*Uevu*Vq@L`Qrt6<J<yV
z@4EnhS}wpMfd#nZg(c1_u|(b@miT3vB@Rhh;@e>c|Ep$DIE+CH2L^rB7`*b0kmDBN
z_5{L*?u5$?S@JL9_6LX@Ifzwz5cgUlnhPQd_5*&s1UL`~*uM(!g96~pCkvc&%>td`
zEbxq*1#5k>K>BNrc@NA{BG(*Ke9ckS${ZU-%yHWrGnA?_!`=`xEO0QxU=1_$nwXES
zt@CkH+I-x#b3UGe`B=s`AK$z%MYS?h+;`j*JJy<_v8pK+em6m_789&aHNiDrCOBbX
zg2j9$xbvkk&M!Acp<rViw=>3f>c%)cVT51XjF2bO2=#Xxq1yr@%oH)gw}bN#Yvy5g
z#5@#mnTL`3^HAiUAztV*MC%KN`2C<Emf9MkpMoJS`7#$(o9CiH>Re>sITyKTE=mf`
zMWZ(cxUt#*<01_3zKa3M&NV>)S$*t%qL0gq_3_RzeO$9vABWWRG3<vP8r{>wk!(Gz
z@YBO!Ydv(6)no11bdhf9B9p3%w%)q9%~BU5M0K%lSO+KSb#Otv4kmBY!ErMk+{&+m
zeXq6Aty&vDM`~k~n>HF5YvWrkZOnh6g?lTt(E5}XYPo2kq@flHb7-MNpC-;J*Tlu4
znz+kZ6LSnSv7b#7wV%zw6J>MoO~@Qv>pTbV8qC4f>~paHnFbyy*Fcpp4eZ{ifr*A1
z=*p>q^IoW<=w)@B4p+zVP3rj5SRFZe)lvDi8ZNC-!~HR8Sh-aVf10bIt&kcPzEwrx
zMpX<=R7JL(su;UK71bnF@%E?+`ZlYeW`+uW@KwR9HY#{pQ3V6Wm2q2#GHyDrj9ZT=
zqu)AZjMY-cs=rD&^i&Cz%aqVFObP2;l~B?|34{2Q@ar2z+*_}RKNA!&W~U<RS}Eca
zX+@0sqJXw-3aojjfFlPL@ZK5)tkG1!(!cU}sYf2`%H{DvxIBK@ERXW$@@OwCkIC=l
z@bwKjG)tGm^nG&3VJnBnRON8`w=70ImPM6PS!@oK#l4$kan5{Md?zT2Rqtdl>V^#N
zN|(V6eloafg$%A%mqF)0(zy4jG{%=pV||1)j%|^~xhRc?#idz(L<;p<r7$H|3VDu5
zVYs~%3h7H>9;Xy8crA&;b&{BtB#92YB~jK!l9daP#5=zwu%uf8Gs`3}B|-wzw@P3k
zN#J!!34HTK9EI+Qv*xTgh94KlE@yGnG+}W;as2vT3_Y5~aPX`c?m8sK+E0pMy1p1L
z;1<KNH=<bFB#OJ!L=pW(QEas+j%$hH0GlZG^ow9mod_#WB!c66MOZPn2;v+O+&v?V
z#V>?$?5Z$YCJE!2J;L~VxiETa2xI?0A>8~z2tQmE!oVaUl-nzW&9*`qFh>aI&I;mx
zF9or=P7pIw1Tk=*Ansfxh;G_~xQRm$cMJ&Np(X)LP8VS9y9DsVIssHQ5Wwxc0$4H3
zkDSf?=#j&Z_mA@9LMMJ~G~q`p5q^C5i4VQn`H;7e5357?(A%94wHQA9BEyF_CwMXQ
zF)tpk;6<NUUfkx*f(?tSvurawnAy*RHyU_wER6>>5AdLuJr7nH@*tNW4{jgf#(Qnt
zhy~nuC4?L2Z{fyUmfW~Oo*T!1abZ>u7p|=4LXIRZZ1d&9<keibQ;!R6c)8HvJtr#O
z;Y6u?PLw^#iF4dJ5iL2<S)LP5{N})lUJm?F!-2Xf9C*N=1KZbepr#=Q#tL%a)F?X!
z++)Y_Vs<<p!H%My>{zyx9qrZG@!u>P)(o)W{u^w_<glS&5F5UCWy5>OhF4|T(BaE0
ztS*~{jXtw*NM{xb-_OANf*Amh8OT<f0kJp#AS3r57;XLsFBJa4nHPUyTjpP2HT?lY
znZGcvcN!L-nT8#X(~u!C4X?ZZfLZb%$g%$e(qez$eAg5#NSuPvbyILrWC{*Hngr*B
zNw8fv2`fb=Ve_Nk5Ss8C>eu~-8Ij-M)b$H)B>n;m`(My3_6yv)e*$mHPiS5L6H+99
zLO{<C*p|kE^A8A+{Q;@ZC!j5B0{Gk}V6)N$G`}7P^Sp7mwrw07G{#|a_&=yB`VWqJ
z{|63w{{i#)JD62`2P?nt;A-+6!Y95#bL}?}I{FQEG2fu~?^jrV>npqo{R$^+zJdYo
zR~YU10uAwBAj9qpL`r;th~6<s%N&DRw=sCHG6q_2Kf|G-&(OQ;Gc23?8SZ}j1RHBU
z!Q|mjtlLAMVE4=@ShkFUQsgKIuNnmrkx@{6G6IXzN5F5>2wYYff!VhoVe7?@(6#3y
ztTX-yuYY`i<BcD{Aov4(TKWMRct1e;gZB`g{2oG`-$R1pdng-x2Yp5FKyuGJ*kb$+
z8h;MMoNL378!`;q%ZK5X;4pZ1zXjEdxA0-}TezX|779j&Aggi+&K(?rYGw$Yu?+!#
z`yi}7JqWpugD@jM2>S-#z?b4TaNPF|D44y0_CEt~>h=Jviyi<yy8)1t833WzuR*Ht
zH5lx94GyNSA#&;!bT+>N<>*&%((V;}mw5&L1N|^t)DOA7{jkcsA9((~gznata4G&J
z>(}y2h*5e8iSJ%OVfhQVckl)LS?~f_O}8QL;dA(u_8c~Dc@9stpTm}Keek=!5As6#
zz<FgKC`$Cfx0lbLyWknL?0p8e&7VQnOfP(H?**CUUa;HL3mJ2I;mcSLtgq{Vwv#<z
zyRrxRBzoY`tEZq*{1jgMJ%wU=3c;LDfmN#pTr!@3+x920*Wd}n{p^N@Tiq}b(+vwZ
zbVHg-H%yN_2EUre@ZX8Y5W3<qs7gMD2d}#zs-z3-4|IW!RTl{Hcfst_N5Gc%2t;>3
zg1P38U?bZjNV@+Jo~1toeUFC_Z}<@YPCkIZ)(60o^Z?GgJpfys2k>|NKHR!_AChA4
zgP-$#aMQRCPG390y{QxSM|MKm`cAm3(g|FjJHWoa11_EF0CD>ch*atTzR`P-S$hx6
z!|uW0Iu=*F2U|wk!KAhwB*NN(&8{8(Dz*dn=v`2%y9<j?-Gu=AyHKTk7yf=~1LuY|
zxDn9?CXQ`Tt=0xhzP7^aYpoC&(+aF2)4;CP3QxxGKvnY{$WFKeXExt~v-)?SVzLDu
z-fe+DXIj8)M+*d*v_RMFZ7_ax8_wn22Kha=A)ju81>bFW{;V0IikiXtU^56=H^W=;
zW@sC{1+|xNL3QvgxW4ulJXN{{zdzpuoohG2GxjD_y50nCy_?`Oc>`Xw-vH-~8!))@
z1{|@t0SY`fptJWnYs~9lf9N`BFS`!>($`_~-8J}e^&0#QzXsw?*I>TZHQ4^M33A$+
zU^uM_U}qC#STq3_Zxfv8YXr`cMo2r_2xcoA;f;JFq<?CFP1hPgKfVEY-5cP$VFSFM
zsfUkU_3-n2J&5kF2Mg<Z@R6#AlJ|8mQCA16qwC<ZYaOT>)Is*&TA1^w78>$u!8M>3
zc&uyTmQ*c-f4B-x4OhW5_9`fDz6#>=u7V`nRZxFY1D1s~u>Eiiq^_ueZiO09{89}8
zx2oZ3ay2aRtcE6wYFNZy4UhY;fN$j$kO{p4_Z_c5y!I7vovH$p2UQ@QR|VYrtAKr3
z74XYdfzs#8V0rU0>`cB4xt^Ed4O|98!OIXePzhsKD#1OX5?;Dgg2&uS_%&Mr=}#+Q
z$;Aqo46J~rbrle;Q2`#m%E7j?9PnH@nC&lz1<T99PN5w3eJz8`mNIyhUIwCj%D`<=
z8PrIYfy~Gyh`4?UW|J;KxYs3+W-h@MkxSq*Tnd5>rO**y3Mt!5!P}w~Yz0ffbg%?;
zYfC^swgg~n3D}vHz<&M`I6rU^Ue;U$)tHOmx8)*q&c6u8{1+jApcquH7DI7NG0@gx
z=rb#Z5P@Pa8!Uo}+9J3SSHv2>2=+q}xC<A7<8UEtXe@+niG^^)s}Qm*3*oMKA<TR%
zfW<cp;PjaSc)z;<RxBxiI@tm+`g#FsS}(wo><jQR-~t4%xB!N#7vSU1d?<U64}k^w
zupuxX&><gmbn`)d_B?1mI}hd+=fN)gJREd84+W;@;Whtx&=|^tfQCG{pO^<m-g$7&
zDi363@*w-mInZxA2X}JLf%n04Aid@sJeqS3lBaWF>(g9-vRqI&l?%LXxiDjz3v7b9
zAT*rA^6NQZlbQp5dvc)2ItSh>=77<UYzTjl4a0@mu;xTIG&^O3)x2!D%aaYRZ_dK6
z`m>OmbQae6oCSfUXW_BJSvWtD1%VH;U`tUJtPReB<r}kLrEwNG^JjtY+e}EfmI;k#
zGU2OlCK%dg!V$GhxIdKvdQUSTxjX|nBQxOS)(qgL3`mp60Hd*Vc-oc@p?T>*$I@YX
zeLA$yO@~~bbT~ek23}2R;BqDnoc5)`<`rq+tC0rLf6qY0vop|Nbp|Bk&VZBG8OUFB
z27b$*0p}m7aO+Vjn3kr(<x{C(z9kjfFcr2+rUK{J6sWqF0^S8Fpc|Y5<1Q(1cYX>K
zilji?Xfm++_ra08WC#jOh8U-0IB%Q`w*`~o^M@o*ZAk+6+$1PGngl-`lfcd>32FqA
zK<z^!WZX^!+1y0PKbi<;8xrBMQ6d}`Oa!fu2{6!-0O!voz}~<FSmK-js-_9RE0O?{
zqo-lK?KJ$#KMkD0r$K(xX&{T!;307u&U}rB$DQ#YeK8((oQj90t?{6^ARZ#*;$iYf
z931S9gQ<!*h>nc|HSajMZ5;=D)Z#$pUo5<Q5ew(*V!<yp7Hs`vL3eE|Na)7`H*YMk
zzl#B$+c6+@E(Q#OVqmpP3>-9%fntdm82T0s+7F}Qz@=#Dh>8YXuV_eG8V&4f(Gc`6
z3T9qLL2N@5sHR83jRR5O=@11{Mp5ukC<+okMS|<SNSIq334Gy^@MU`>^e>8pC(4n~
zJsklrUPQpB`Uv1kj{xn15#X>s0wRnfphYACc)x^$)BSKLFAWEw=x{i=GaTOAgu~W3
z;V{G=4tobr0o$!pkdu1~mK;9?-!`3sB02@0a;L!HcNk3fhC$EOFsMxpgS`D=kn9i!
z@y210C>jRYUqj*Y!%%oo9t!`(g@WpyP;gom3TN~}p`R}l3`RoWRC@@#D-MCRks)x?
zD+F*^2sCMiz%s57sA@k6A0tn~yyYh$lKUilYYhgU@L-s*4u%BIV4yoE;AhwgXjys!
z@;FYw>6YUV7j_)ZE<Fy79LHg_B?$CR1wo*75cG2f!P?e9=n4;n?aKmzizg83?;eA|
zsAI5h#W67DKL*;JN5LTOC@fxc6ug9w!r4bhU@-9rSU4Pk9El?!(Q_Cw(+<PDjfbH}
z?l8o@JOmCohd_7BArMtN1UzpKf^gwM(A;?tR_h*w&`$@Tz5D<u`yGH&CI?_@Vn3X$
z+Yi#m_OmL+?Favv05HED00Q9w@NIbjyyFjmkq7?pH_;!|9R0yj#vjsO_`zt7AFSTy
z2RG*U!J?1*;PIt>5U_6_sGIJCp`X4`)#wX}Cw$?=5?=`7_GPtt-3vvh_d>VBUJ#bq
z3obABK=rvjptNHTr0MJd<+0sRTeTZDAKDEP%x>tL@qzL?K9Cgc1E<#dK!k)3Wc2NV
zhMZk6vV9lm=<I?+W8U!O3ae4x5pQT*;0@Ls-tfA8Cq$m!3096ffm?nj^bdGJbD<a1
z?Dm3MV=uV-%M(6a_XO!vp5VCB6V8iz!r$H<;GMGr20eDbF1;Nv`^^K2>O8>pga;_u
zc)(Wy59sRN4mUHm!}YD(p+kE+y!)~ZL~6Ie^5fg!wDmR^7T5;1Pqso+)>g3Gz7_84
zZUvw3TR^5^3v{2{0@=1(;DG2B*wp6^c6sjL=<N<(M(z;tdox_UwHf}4+6)WqH$%GI
zW|$dtgM+1RFd5(maf}<x<#dDo`<o#1%qH-3-vn0Ln?U=UD=0O%f?B96n67e#^^&d-
z`pN}v7P$bwp9^@P3v{r%fYtqtaQn<gSifZ>{HL=K&i&^MuGgGFBf=S`);Ys#IcMm4
z>jYipPVoA$6HG03f;oat;MThV&gX4_37-wH!E6KEnQ??g9gfhE>ImDnI0CPpBQ#B{
zhoGD5VO7j}(B7~f#8lS<-zNtUu5|#l5C>Si+5z^-I6&!;J&c#z!-}K!P;PAx%A)p=
z^U@A<i|wE#zz%#C+JOqc9SruYgR1lE;Pl>ga0J(ZAJ;lK_;@Wu=B$O{U2EZ~*;){0
zUke)^u7T35H6XZi4FsC5fnPJLA>{sQkj-2T*F0ClUX#_JKeGyccCLa)8LQx`=PI~p
z!oti-xO#sjJjz@NKfP9h-u#uYn{6dDJX`^i*()Gu*9!P<z5@1ht^oFKTgW|U3(NP~
z!e6q5TfDZA(7POV7c2+IfaS1q(Q;TLyc{<7FN33{%OL;AGU!{j3>2i6fzMkTXsfb;
zc_(e4aIFn!E7?HpCu?wMw1%lDYp8U#20txpSomWp$lX~Av&l<gVjBxaOMz{63CKTM
z0*i8&K)~K5P-VFUrUjOO<IBZRU%D7{k1d9x6^p@0ZZWidTm;_ri$Er75p+8*f=um2
zu=kf0ths9im~I6oJFURN!U}A8tibEpLP#uL2yKTK0<Y~taFSgJRUa3CY{LSGja~r!
zt_xT`Z~++nv4pNpOE{Tr36^^;fpeiH^a)!+{Q#?+#bpMvLm0?&VBoR_1NSEgCRzz}
z(h0o132Kl)P=LU%AK^_of?F`cupPo-bp+`NfaX?!Bk2IlE&zT8;GG~q=W7eNe%S(=
zLM@=x(E?s*S-_v)=AhGQ4%>3fp>Ur${8(%b_LAmM|K1Gr8_b|2)(lMD&ETGq8TfFR
zflTjw=(;!`QUmA1j<xf_N^L%9O_+l0T~m<GG6j{rrZ9hzDL6`)!pZk0P}g7rQ*kC>
zyVV5Fo0<SOj|m)lVGRG38^h5MV-VP23?(|o;4p0j++9Y{cEJde4jaMFRYqW|VgzR6
z^I-1Xd0=#Q9xU894>m5H2ghaRLHQ>`_;}M03{wpu*xL~LEe*k1%n<6{%>}c@xp3q3
zTyXH13*Rl~!dbz&U^i$0qO}I_GR6R^wirP2d;>VaX8;FZ>%-w{eK-}R580db;iic`
zjPdA$)+;^mxuVA^N2mu9oAuy`i5`69(Sz-;bm7AlT{s-23*zp&P;aUWyZCfr&VUY#
z*62V}j1Hu4)q&&YI^Zj)13p9A;9su|p{KPWcZW8#k~aJl)drIfT5$Bb7IdU&ftHUJ
z#4XZ-ztSw*m?q4$XhLF^Cg}TX!sF$d5TeW~j`m{?u-~5p-T8B%{OBA=wwnVX+H)ZA
zp9Tc?Xu#<*4JZ!NfKFEpm^9V^V?GTy@J1b)>(oImK^+3U)ZxPdb#Rwbhk?&(;B!X}
zX3wgz)@(Icxk?TGsjI>DDOHH*Rt1+*RWJ`#1!Y%N5H(Q+L4H*bA5sDJMip3)tODD8
zR3K@I3UtV;fY7)yxOOT-)dgh`4^oB`j><4$pbQ7Nl;PhiB}lGS0;2>a=-a6TF^iO7
znVb>`{-+529g0wUK@qZo6d`JZBAhf-giszuIQ>QeE;J~>?PLY`v|9m`Z4_XWvI6A)
zl85mwd01O24_CtEL3Oh{WSGl?yr?`BjmQDhA_p(B<sj^k9GKh5!GF4PP|qO;QLkiS
zdz~!UB*}uwZduT^VL?R}OebYv`4bt~Q7!|qkut1&lMMW1WPo+(6e7P#!|M)duqu>>
zl3;02a+QXx`O=^!A`Mj|Qn2cd6nx2*g0n}Zz}`^`#O6uC3qC0*AC`pZo070EOA_1<
zN`jM}By7}|1P^XWI5H>!Y1bs+db$LB36KDtwGyyfR|4ueB|!L%IP7f_hu$=CuniE0
zmNhJ?%hEYn_BUc6bWIHE(#61MzZht(6N68BV$i@X21!Gr5O6~j+_FSr-62s}<sb_7
zhN7^QUlfkK7lF*%BG8g60zZ$5fQhpR95xk!RuK_U{45MX?ZT`)p)k0F2t&_iVQ?j3
z_$Vz5!Q(=p(j^4#WkPT)S_sU%gy8oQA-JO=1ew!<aQL|(xYr88+7v-p?k5N<)(C>5
zo*;Ph2txR<0F*WhKwqu^hy)41Iu`-fI}(6V2?4PF&JV>8`9Y$LAEKi9fomr}#9H%%
zygENznc)M6SA6iNkq^o<_`v%RALu*s!7pPzxG%y7C1bph(8&uYN_gR5BnzG_zLaHC
z<AstL9_W0<13#O1Krf32ypHg|B_|&EJ)Z~GO7KA0cW#jA;)c))Zk8Y7hGV<Afny~%
zr0Q^kArCinz2kzwJ6vFRfeS`MxS(PyOSj?zJ7q4I`<D|W`Z<BEi4%Tja>B18obb<?
z6ND`|K}(twmi^#>eNQ<cubKm%Cv$*800(&5b3mOD2Z)Jsz=5yqFz}Ea94gr1VLVIj
zWrx?R*&)Dy9fSqhq52aWZ0%$NsY`6o9m59cK5XE*k_{L=Hjv|IgTLLg7SEGsE!rGr
zEn389ExNjAEXI;&EacbESZtJ-u_$`-&w?}cpGAP<KZ|dY|13`Q{IyU_`)kqR^w%Ov
z=C6fQ-?YX2%xMdC*J%q?g=q`J{y!G0bN*NybN^#euky!&dvMBPNB)#Wx5t!)o#vFq
ztM`)@$1YA<X!}fB4C_x?RE_<%h_C!@an%2}#X-~G79l@=S!CD!`k$gJfvf5H;*?ah
zB2*$vtB7za^}Z#_QkF{D5(&wYt&+8!w2~GHDebgsQ)tzqJ!zwT-`?{Rp~C<Ed!O%T
zX3pGq?``g!Gv|C~-drkn7^mqP<D~!R2Sw%nAR(6@bZ5&C65;(pv1Q+BkN0=t-Tj@a
zM88vH{TO)$kCEfSF>;d{qlX>eDChY%VxRm*YZSkc%jkd9o%|me+x|x%RsW-7lV53C
z?pI25`ATQ>zLM&!uQaEMLx1jb=%)#Xrb%#UVH=yYBG_bil1({^Y!cy&lI^Qe>c28d
z)|#U<F>RC{y&s|No+HeCj8OgD5lU_vrqCzD6nJcyp2`hV#>f!0rVP>CD?_wTbBN-n
z50OC0Al>vHq(6p(<h@{!6j}%9Q^Ww>J2gNDR}YZN_kI%3?k8cVewwS-PqG62w5_g>
z93J*jrg<On$n=rLa4%J)^pdVaFIA$KEO~l~ucC)?{Cnu;fgai^-9t+K-6WpaO=5Q4
zv_!L;)VRCp$cHWpxZg!h`@2X{x{EyfJLz{~C)wL~(sXpvBc4vusqCO%0Uh+ltb=@4
zbkO;cb}~<Er$aZ|>ExDnaujH%==wJL{J4#loM@wqtJ<jcM=NQ)Yo(mqt)#oVm0B0H
zl558oQjPmUzb}5FvW;IThWiUWsQ64ifuAYB{4>SLeWr@9E%fJg3u(Hx&|QNT>Je)p
zgZ5@Bh;1glOU=}z(M%3J%_LLZL>&*CDDGGjIVv@g<#;2R<TcV>&qlJ?+ekMSH&Wz4
z1GS_!kkrivvf0`|m7)!#{^b+BivGlGIP!_AH9pbBnV)EBZ9TPx)>GWcdU9S{Pba57
z(t#2N{vXNe@JDiy|48v;b=2{$j+T4Y(Pfi5s+F!I&5>G4%d91J*IKIBRZC|jYDv7W
zhCZg$Q0UDXy0E>5jKpeaQ)e}?5~@k>YBibZR+E!xHKnvx5ht#SHriK_zfKkX6sjWY
z&y_R~Q%SbAl_a>Sl3oc`(#e(zl8vdLvC9=ysa-*7f)y0gQcf{3<&<VyPF0)A>4#7`
zDSY`rr{g|Qru_#J-SUAPL_g3-TN#~wSw_FFmeGT)WwcSOj7GakDIvL(uH7mnV}nvs
zmnbErff8DoQ9`P2CA8b9glwftD4JbNJ#UIh*{hgtA1J0Fxnepv{+=3(-qX<s?`hoP
zJw06Wp0@rgBCe_;`tZ1jo}MY9TN{h$41W<FZz?3~m_oX4Uq~Ukg;X@JkS4ne2(Jpr
z$EAP<4GYL{X#u_enoqiU`BdkZPiKzglZbLY<^Rp2TUB|q?P(q@w#lPu$RoC39u2hS
z5<4N6rrpY=#k+E8`{G=3V!xxpckgJ9-#a>Y<Q>&3zoV_w-cfPQTQUrPO9L0*l9$d~
z+Bo+ueeZrl*=cXc+x-olHhn{T<=)VaUpZt@mO}?0<<R9bIrLC7hsp$VXl8ph?M}|7
z=g!&0ZJbT#S7cNFkJog%<Td?%_?iMvzow0vuW3Z^HO04Q(dCpZ+UA-?3MN@3CYMEm
zzcWd+Jd>oKWRk}DOtRRNNe|{`QcZ6LiDzZdInNBLG|M10<qS%io<VEt(<wJPo%UZ%
zr$74Xl(0CRtp7`+HAQK}6`V#L)@f9xnMQAg8Fam(()3r<=JATAnZ2S_%CG1I*DH$q
zluEy1Q_1K?DrN3YCHdv46gi$kD?g;r+b1b>@L~#a>!wiV!W6O}Nha;QWD*NVrXN<x
z)S;0~jl#*)+?_;ynMw55D~XmKO`_fFlgNWFi7LJ%l4MFE*|{fD%Yj7Nu{x37b0v~~
zV*-77kw6Yk3ADr{foc^J$mj1%+WYY($;Q4U?wc=Z*zhH_$-bm7lP{>J<^}zXdO>2>
zUl8`Zpi43@D0w2DepkoS&Zu~Lc`csA_Qca&nRw!xjHCNCaU>HRM@84;$i^^^mdV9Y
z=Tt1k*TvGU*jPGzE0*;3#?nT`SW=r7OPd;E$mC@VU3Q6~$NOWbdUXs5@-VW`(G;5!
zO*|gabk01Q+Sf;u+3aZQ?u;VatSA!ki=vDZQDmhVMa$+!QU72hW#&cF{oqKlw~3?^
zx{+kQD3XqiJ*NvFo|8xTbBcF(PK~>tlaSnV+Wj|z9({_SuP-BLk6Q#~ABv#W>mn#&
zRs>O3IF-E)r<3=?Nzgi+-f4%^wT0oN{q-4%ls==OuxC_t<r%%%{fyG&o>9iXFe+#a
zqo$-V`gJFamK_ZvQ?)P(5DB9%15asn{!{V{c}ia|KBc2Oo>I%Qr({0)ghoC-A-9)L
zNY?!cv!(SD@}MWQP523k4m_rwyvLLu@|a>TJ*E)-#}u&QF+KbfO3@9W^e!osIy^#2
z;8-Ya(g-D|d7)G``iK^lJR*l@kEreHBid#Bh)R?m(T<sqsIfhS&b<yH!3QCfc{YSj
z>xGb<bO^D3KcsgbAJW5whjjhULpo*gkjyn0h%tFiFkLSTriagi>D|p>V($wkIh9~K
zEf7o@eL*CUA4F$DgQ(svi1hXZQNALR@-XH0KsuWpNP>ZZlzBdo&g=*zd6_`s{0pGm
zmH>K~9zfUc1(4O505a1HphHUo$a3ld*)~2P-_!?`>hplwPdy;9Ee~k#k_Yr;!k;*w
z{AovuKP7tmljJFX^55)FbC&p1=)`?m)o`CmQ|{AQpZg?XeV=N#+^74}_vzr&JyL4A
zN4#nGXxQ%_HJ!OfRa@^-<??&<>7O6<efFbiS$?!Uz>juc@FO<^KPr&-BYqw~I?(A$
zsc(I0-XmXfwD+YkBVW3p>`UXbeaU^mhos*7(7SLSI(5s3Bo6t|CsiK`ndd_%|MMoz
zDsPf};Z0l~-t_IbHw|y{rqRXT^lQ?KW;c70T!t4JJn*7x7rZEWrx$S)y-1bMi#&Qg
zsk6Y7Hb3*E#G9VP{6?OhsCm+|`JR+Cc9(Q(?@~|VUGnn2OB$!|()X=*DP86+Idb16
z!%h!U%Jm@OCmu9;&4a$~_n=XxH;v8npy^|GXkqOgQcb!;M||#(-<dm9y8RCE%ikg6
znRh6v=Qd3%yv_J`x2ekUHtCq(rgxgRX|v>Qs`>3sCz{-eJJX%w0^Mo9tvd-DyHnL#
zcM1}5r;{8vLX{gWNpK@RZ#VjV+KtAxyU`DMH~PoxMxy<$q*UxmyQ5s`nwu*nSh~`n
zjw`KN=1NzmyHaI`3n}EekZ+g^P2O^$3+65~%5tGgQZDpw%9#ScIMcc}&eR<0On0t3
z6YG#Ov-__z<x4n|--HvLXmO&=*-oVJ$cYwSb0Xn`P9(I^iNqwFXzO=JvQ2ZO6kA97
zyWWuw{kX;0;9I0?e~aqq7M=fjlNM#&q-KYk6s>-fTqbUiP0kHEed7k%vu=?8-|O@?
z_d5M@x=x#QuG3TQ>%{l|8oAuQMgrTeQ563*+Esp)czv!?^{%TFBXX5|>m0~Ez=6C?
z9VlX<1C_R1p+AqWkj{}S6twgTO?2DSxoCUhoU$k9mG-oZZATxI?dZW}J32;owCT4k
zDZjBLB}ZFQ*RdrN9$RuMy-e9&mubfC%XE0oWqSYV5^089q5`u^v|suX{pr3)DKQtx
z_RK}nQ@%)YV;5*a<^`I6{Q|Afx<H$_FVMM?^AziKp1$oqPx|xD)2k*MQhZ`V$rd)G
zD{Di8L+9vm(m67>Jx8n6&ynEYvou+7ma%1LX~xd8w0O>0+S+)A93P*dVv92*DaYhT
zPSdxP({%aDY2s#`rU<Unw7b-rX8T%GgRwOwiCa@}`zi8?Iz|3xPEpj_Q&jTPihjPe
zB671L*Bw^WE@DO78&6WflasXl_(^J0JV`G9ouKtuC+PdF6I7^sf}RPSAg_<d$^FrB
z^07Eh&*hI(DaVo~Gb~B-mL+-VTGD`kCGD+0MpdE5$kg%}jVK<Yd*3WbC)<L!Tr8+&
zy9FhPTF}GhqjW#~C_S`3N(pO^GX47qO)oe?+MY+q$LI(RNE{)<ZgVPmVNUwC=G3Zb
zPB(eXX=T-6>JK_hDMt>|UHQXg^Pd@6WSh}3S2Mb3U`9S-W|Y}>h&VBaXv4)r<gxJ(
z4RRl%{gnr)KIkBsA3aFp3I{24>;Ub0dw_)Q9H1|I4p5fF0SfQgPY)CK(_@GIl&G_x
zDh2k_M8iH>AHI)noY_aU8<_mGeH8h@l$HjX(#s>Jv_;XBhQ6E7lUx%z>}f(PO-yK}
zv<b0?_ELBHUg~q&OXK=`Y3_o(#Og98y98s(b}%M^Eyi?4*q9nyjL0zBh?*`M(OH%e
z3Gy3JPQ4-7KQknpH6&(r8U5fkq@L<M)DgOehOG9`^!0m4X4)Pysn|{a4|mg-<GX3y
z+T9fVXBY8(*hRO4c9E#%E{ap$MZ2bU(zLRj^e%8G-95IGER=VW-jo5Ul^GBP8PFz6
z13IwAfNuTKr=$=1G#ac=YA5u`Peq@`{_UXSl{={O(GEIuY6o%A4vOO5K_<1^X-?R7
z`h0dfrEJ_z5BRo|OT#w08M%$zFKwd`?QN7Tw2k_|Y^9|ywvyG=t(3iWD~ZqFN^U)R
zG?l7HPR@EHx<`)^7wgf!QC$*zqf6DEy7c6LE;-2S(vhEA$f$S=83t~l!^gLf-MTFl
z!nK9UYB$r&@XgFPv6&*ZHWQEVX1dg-L&FI=bn&JRaqrZj@I^YLKeCCYzu82EUYqFt
zp-psV<t8$m)TYhl+O#QDoAl3UlZA#hxz5(6l+Ri;{6dS?-q0df11;)Yq(%Cpp!~O>
z&Ay;obI@sJknl86UJZ+GhO?M>ibax}Su{D9Mg2XR)Sj+M-M2OA+dfSaRM4dL6B=Yy
zu0c_cHHdRggLJhtC|X2==5}o)?^hd1#C;<@Gu=p<@*Ao9w>kxttJB^m>a_U0I*n<o
zQ~exu%I{I5*BNT`)<cad4ysYVk{SvAQzg`@()H)6RA{G43%03}y@V=tju7q3C5C$-
zI&qxn4-q}%C))jG1Mw$qpepAL6t;H*U6<QH$0pX3N#%Mnezu;>F0ZExdh6+)_<G72
zSx5int|OHP>*&_Wb=07~j+h@%Q%r{nNvEk$<Q)}ScSwaQSF6w^E)`ndu$J26)>8D%
zwd7#9mP};U66^OGT2r}(R)?=4Rl7B$zkLmzmRdsr|0z@1du8H(q)dBllqp_EnPx3e
zCcEL)G@QGd&IYWeU#C`+A8R$OowJ%+`&Lmv&MGp!w~CgZSVfcStEf$A6_s}@QDK%6
z75gYr{V^pPQB@*gK_y1FR+3%jO3LzHNi&bFBy-i3lrON7l)DruCR33VeH1C{m?G^_
zQ=~CLMS9k)K>J@Skffgi4IEdXyp0MJA)-Kjee!hsjXZhy%TvH9d3phPs+cEFzlP)(
z-%*Zig5~J-IXM#A!sI37sOhUL?JSX{iYKyUVk=97J7nq3Qdv^|B|}|RG87giLnm*@
zkeaa!%~O<Ncn%pFYFt6Ri7RNxeFgnCTS0TyuOOPef{u4Br^m0CQ`^1eq<CsMIcqJa
zuKCMpCwmzcykAC}o-Csew#(?S!7`dyzKp^rmy+?vr6l}fDSdKTN>K-wlB3E}vYfS)
z47;Rhd$u&``%BZl)6#TKN1A*jq$%^;5*q%ngcP1Hp^Mj-P=WChl2TeiE;E+Ue_s~U
z>GZ`k>a&=xom@<!T8k-V!D2e}Rf>emq^L4niUO}m(Me+|+N2~!vOH2G*0zX*G8d7^
zy+yRhdJ(DUEFwe6MRe`EBqdZz(onP{t#OhhrvsAIq9REw0ZEGQm7t}$5)}SWf>vIV
zpm+KbbVx>mxc-S#YLhsfO%*3)Z*iJBAx?E#j7(gdvDXX9w{jtQ#w?_J&I>8*&_c@E
zu#j4W7t+k31*B25fUZ4VKm`s9Xs+=BvRSo&>UbBBcGrB$d^4X^gXdHJ#rd??U_O17
zolim2=acRiG5V7sM!EOJ$n&finQs*%&1GV={Leg^+cb{^Ud<z6-+3fyJ&)FGnMb>p
z%p<#rxfK0rE_Ec&rRCmp>AclkD$-%{i|3Np?>RJ8KZop-=g@DjIpl6Nha@)7p{&Jo
z=*Wa92{(vRS&Arm`-swhYf)OID@wDMiqf|!5$b9Zq0ea|)Ot^Z2F{Am)HV?kmk}YY
z=^|v)DojzYg{e1Cm{wmBCZ}D(^jT4uw0MQ-Ww#J5%M+sT$3i53Rfw`ogvd}uh{lA3
z=;^Q^8I=l>P?R8jbQYv=b3t;@5TyMJ1xfpd0IjVPpp{7iwAx#M)U5?*r=9?vUM@g>
z(*)>k>uma-J)71)oJ}|EW>clnY?50uo9+rS@}XH|RXU5hqh`@5*ID%A=q&QWEK*oB
ziy6oH$*GZ_)YAFsw?97>T;QjGUHoLD#7~B^_(^kskJc3Pky0cdt##oe9Oa|E;G;{6
z_$Xw8mr9#>X<8;PX$SI>$7Nn>HsmFhHM|rc#7loiX3~Z7nKT?XlWaU@((jWq$wzl4
zDXf@Dm0UCFS|<-F=kd_UQyxma$wN+NJY=fDLmMP`XwmN(G`ndAab+?HnnBZ;zaNK(
zH@@LMqoMsTNh5Ff5c4jWIhxxxC~JC47-)tJp3>B+b<vDmc3+d*I!x0tGC{MvK1Xx&
zM44voye7>XEBZ7I6uxUlicV)~@bj_GPYSU%4~VgHsu!_ZQkJux`zo>|POfEbR#Rgw
z<<VkgR_L<${R~(V2F5Hl_d%9N#!=R=r4>t3z=kE6WXs|hTxV5&b7J{vy0P+H@34-Q
zda~?i`Lh0Ozt5Vu9l)~54`v<u{fJet`Y9{QBAmtJAIa*?jbZ5x$FmgXC9>`@Zvwb!
zp2qsmF_Xo9n$5DydCT(nl*dvSEo2?wDq%^8ePG$hRI*Ih)v!L|BddRF11n%xGwZX_
z7uLJI?JVr=VjVW@Wl0$fupGAxv)neaS*ut7$8ucqo#i0(lO;L%n`PZQ#j>pY$GUxB
zI#kNJkf|{PVlQ~GQ=At^Z}VZ-H-3m8o{jus0c=$k!iykbu%|>IdTb8FisxcNUJM1E
z^Kou?0Va2d!zNAw#WNRy+foX0?-oO4p)_PJF2(e+Whh><0(N#X5dI*G04aI!Tu^{z
zz9N!Dl`wd873L(ZhT@bm)@@shRS#6Kuyq~AWj3JX9KkzH6}l5@7{f*cyJ%qTdrcI~
z1oXFRq4Ksiw!Pnkw_KZ{q_qV>*K{$JrU!HOR=ktl4oUMJxDud`x-tW-`nwYzYj>l^
zau0L@4H5C)2s}TGab~#*8upk%@8&+_#O?=uJb<jJgV-cvhB|}8ID6R~!XZcS=Iv3~
zc3MDnh9zdo9!IC%36z~YiClLp6h1$NhCFNh`f?hIzs}&?oO8%uX#=?}=ke^&1t?v*
zh>AOx;Pm)1wkO*{uFwvWpX?#qcLm$V9pJ)q4WH&-$EKw>P`v6UPO9I6^cF`<$~wXJ
zg%hqTJ45u9Gd7S52D4nCq~VHxZ(MN<ZZOGpLz9*}MsnS8U+XqX-`&PN)*TGx+(Dzd
z2TU_PaBBTs2&UYH?kZ1+#(Co63NM@p^TMdOH)aKR<BgyXxbOI&<DU<V9eiQ-)fbai
zepuV?hd(CwU{P@oW;*x5$-EDVRsLuV_lMg22T<~SfY*N>p#4Gs!ny<S%OnuPC4soA
z9)$4tARLzrMuAr_awdbZ=gdPmwLHYm?IFm>3_*^}BOHG42#=?Q;_A6jj5UX1w%%jp
zr#yz3)D!S|Ji()HPf%|56rsgWF>6g2#6!YRI{g_Io_+?tx@QPc4@dd4a6ILWz#N+h
z$k#`pL;X26hCOGVQzRNrMPgxPB>t?4!tH=4r2dS8%fV=jzlnzMk{DDt#b9+;3^r_z
zMd$NasLY6i!tpp17si2qc|69P<Kfy7k8Hfa!^bZmHSq#F_Pxa7w3m1!l7QT^3GgmW
z!1NV~SmKz7zUD;iTc3oBzDd|Hkc8)(l9BT$88^q0F{GaYuE-R;pG?6z<5U>Lr$Ti4
zE4b`?g|LKIIK`cYw*6_CmY9ZWu5{?{ONZTybQt_gN3Br?W<+P8_g4mN^)r$BBokqr
zOlWM%!fpR7ICW=1as6w!xxI#O{cCJnk&V>L*{CeYMu=z*<{!<$mc$$^pUOen_BZ$$
z^adl{Z}4EvTa4Uzi(jR0kvZ=j6pp^bt{3khJN^!-+PV1VnTx*qT=*`|!;n=TCX@4!
z_nX-;T_+#bp842SmyZGQ0;pLO0I>y_U>D%*hC&2fFT~~iLh$nz!PKA#2k#d_tf2@V
z67TWK{5=9A-eXPQd$=kT!}n}4jFO5`{a-P7)|cSBT?rm%mf-KN5{Pds1^ZelZswGt
zc(N29G|J#{y$sWH%CKRg3@g+>p!&)OY{>Y4ecwM|y-GPM&zEC)LOC`Jm4jQZ0=||N
zXb7vo=g$>*vY--+j4N@#w-S5HDj_hV3NENZrb89tQ>$P$QiTecYD}6}V=%ZHK{eIj
z=C6VBrW#0ItwBk04b~0R;K-6%=$qE!mv=2r6xQOw?^?Jh*Foh(9iBg`Lql~PKFs*Y
z>_qqxzs`MxO2kL3Zup2%{(9K3>XCY(9<QI*!?mFvBK)6lRO1tD&wYYH*eCSYe1aZV
z1FY9I!0>nj{sc7O-1`PZ{Aj>qnMNEkX+*nQBjnQ>q1xRDfjLcx)^5Vg^G#5C(u9TO
zO(_4>ge|hoa5HX(ms2wiBs7EF+>9MFTX0UL1^dlgFw3(AZs{#3?r1^H?9Ygx&tO@6
z#xt+as7U{e{Pxdq<o|-1>%PF$><iAje}Pfr7yNDb0^5IIkS5oPce`8Rf29>`!dekh
z+=`0PR(zP(h6fsLkUQ3f+a7I5PHY1+CkCsDHhf>wj-9&gxOBQ5mVWJ!PHRV8Q#<}m
zwPWeh4v6S>pyE^qOuRerBB=vabsfn4(Se%_JHfBf3CqKs@N(>gb9g6o3p>%+(+Rbi
zU9ght!ijBNP_gbp)!i<r$9LiKhc4V0>cZYx-I!A7hVAxlygAj4k9WF}9o>yf@4GS4
z-3=qI9$c61fgO6FW!8h1t3A*Q?tyDs5BzI;aEaZ66|;L0BiD<m&AnKDv=@tR^rAnw
z7jCb5@x7`SG}H@yo<68Z_hDpXAFi78q4|6t1U&mNCz6r9?L$aoA0+<k!}(eLc(}YD
zftvj|Y0{6`HvMqB-H*Db{rH~IkKw9*WcKxA-`{>zhz(%DssX5O8GzEE0gPW9K#<1(
z1i}WeFMR+G<pVh1IRMR{1LzPK#KC2Qh*up%t-&CwECvx_KZu=PgQyN0Wcte>_LmOg
z=$AogeI3LP?jg7?7{Z|95acifO~WC^_6>n!KLnq<L*RZq#60gIT+L%pHw43;A#jZk
z!JBs&oQ1<sQXGbk#xT|z3}eD<7>~~lW8tk~*!T|P$<tv(Cl2H8yJ2jt8b*8TFbqeB
z@pNh!?`MyoL}CPy3L`L68v#de1cyyV5N$bv4;M#J=E&6fjNoAC2u5O=G-CwM3rA2|
z!_>8oAZBO;7C%SulY11_BBRJ!G>RViQH-n~MXmNI9vF;5W&bD=El0t7eiW>0qcC(I
zh0eWEh=h*fP1Gp#l9~GKQH&LhVt(}~7B-LKSJx;qMn+*YK8nhJqmboi!+Z`KwvudE
zuV90<ijA)u*o?hkV@!{YExVbzeQdZMVdIh&8`|gDVB52C;}#o3?rf;~uyH(qsS9P}
zXapOp<JkC;#KxHnHd@}Wp;*Yqp)xkkRx{W6#KzjsZ1i@pajlPy|AyJv{vUI#aW<Yz
zvJo<kgDX57&@2ubg*Z4kmxJ5|9L!wAfwD9Q8&_~3FVDfRl^nz?bD*`3gG}N;bR!45
zSRB}Bb8vAp2mACmklxNgg+2#|c5zU-hlAzD9GIDKaCIMp0~{Pa#DUCV4r<LgusF)W
zCkqZ%S#n@~oP)b3IPf{ifxQ(6n@@4@gMpVdb04QUILY7zgHH^47&I|RVQ`+o90sAx
zar_JpGv5hfzMsyVC!0B66mwoX=KL#<aZtisZ^sc1UNP6_GUGt?AP2_#IWRHh0DCzQ
zG~%FeHwQ;|a?rhlgPq$rc&f`mgAQ{qS{zJiaxkRMv<>sWUuW82$r`3TlsJ%5;J`tK
zx!zLd-lRAf7w6!s7zcHt96T0e+K8Wnff*c}nZ}%pX>Wy}Y@GPU#@$gif(F>|?q=h3
z8}p2s+35VpJfkW$rb^kcVxD2nTQ+`WvauwU4ds_?$Vam=`xzUJA#C_OU_*)N2kEyN
zxf2`iSJ|kz#Kxa9Y%Dy%hLkxQ0!$z3W%^R=Ha1K*F?~p#jf*O5v?;Pd%h_;{WFu-W
z8*gW`k;lzO;^ZjqjEzEncoY*%pABdkg?Qa4?v{<BH*XY5S)(|TG>V(i%yCafaU)<9
zhrLFj=rW3K2S&!|#DbHIo|uhd(r6TWwvRG?<0#&37)9gCQM4`{MfHMFBnXbefzh!w
zzeiBd9>Iy85p*|?U}rU>pG6}Wcs&B~q!Fk_jzA}51RH%vAniJWu`45Zb(YalixEsQ
zdhNDj1QQs6`MMD#$&G+5IRZ(M5zveg;MXwLk1%$lV;DmphY?>gi~~8t7-wvUa|B~o
z0*7(z?l7`$4CBxFVXUznhLI^F+dd2n&0*|T9>&UL%<=Pvk<8eo0~15|Z)6A#?L%PK
z4#Bu+2(cMMj2#)mlF%XO_zYpM;}A?P4nfb7v3n*%_^CI9Otm3cF?Mj~q9Ftd4q@KE
zLAWwDva53tYd;R+LeU_?(g*P_dJvVt3_J$$_Ua&>oF0VDp+P7!_O?@#`Od0A%wIf+
zM?!-T`Zs{foB@=z4?v`50Ne5ga4~rRUe6dCes2K&P6KefFo45H8QZ>R0Haz12vZ(_
z&XNH}#~C?e|38iP1FiiCspv;vPCr(>=*Qki{jk5=4^M}F+_UP(9n*eX(Cvr*`hJKr
z<4Ut=KfI>(Lz&Zu_pN={RndpC>^@LjAA*AWFyP*YRknRNeyk6^d;0JKeaKeo!yAb{
zr0_B0)Oas0_w+)$t{2ntdhsfu7Y9On@y(+bj`qFyXW5HOhP`M)FI1EmnRqX9XZB)j
ztOpXEJ=jpygUvZT(2ebZMj$hGy7XZB`5x3A>Os)99_-rCgNda*OdIuJ^<+0P`n#c0
z-;Id8Zp=*R#*vV2ymarz=*4a<Gw+7Mj&7W$Zrohf4L6}~I8AinLSGk5>bkJ{T^FX}
zx{w>#1$*Z%EIZeQ!u?%1u%!z<%3VzS(S>HlKiK@O6A`VQ7%%OFR$3=+hIJy@vlGpB
zo%ngQ6SE9DF-Nr%BFj3#E!c^XpB?zn)q$s#9k9ykfb8=QeD>*pyF&+LEIW|1vjbbz
zI#9N(1KNTeNch<fk*;=FSF|H5qaA;qwL{IT9jEQu;eVtZ$=lmew5}c1QthbWZAZy}
zZAkyzhLHDduuW=%Zb%yhUE5H8whd0EZCI(@hDwDtoSfT+A5*Qk-q(s>)vY-Dx)qHP
ztx)%7{4TpzbeXq8VOuM#*0$oYL@P?UTQNNH1w4$8Hb3_Zmc%l+&*ZN$GRrR**8hUC
z^<VH*>I+WK{DRe-&lqa_j3;@Yu`Q0t-~SA^Yo9USlJNueKV#|o&v>-xGiLLAhV5tz
zK7DFo+Pnph(Jd(TZ2|w47U&#l!R4(jc&yxlw+mX(_^%m*{mmGwZpM$yW_%56M)#d&
zRGn`|>b_?9YBj@Bt{H2Dn=wA#gtWFMoGEUCWMUHv1DkOCW)uD%Z^AtTMz+2QVUkT)
z#N7n{p+-!vYlQXdMtpeIh!q}<xN^P`g{F<*LnHJU-}t6LBNE0M(9qI=-}wy?i)(=5
zy#}aXX}~7)2I%NEfTh%cwR0P=Wa1NMb~65U$tUC|enMd2Cmg%+2?~~<Ftq&>BG-Jv
z{sqi2f9sLhQ;*%{^%zR2hvUO~2szdx_(VM<4471fDT_1me;+Z_`w_b<J|Z#oBX~nT
z;-KS4#Gd$wulh_3pz;wm3qK<2FB2d1)M0vg9pqB#ur;_27B}l)Z&?TT?RD^D;)n-g
zb?~38g?DEyoJwkOKA{%-AJjtgYAqy>)Z)jMT9hf);-N?_j*Ztq?n@2&^J@?hQ-ggz
zHQ>EmgVg;s*pC|gUS5MhCWcYsR3o>(8auPAnRuug2i>dDe7YLOd#X{kp&A<{s}Vh|
z8iIXQxKLh&s^luj2UX$b^(s^zt%A5-6^^c~!gG--bpEJ><mXE4$*Y8OR3#EUE75Si
z5)*qXA+fO%8<teUU`8d53|7FVssdMERWR*V0q2`cdW<P=t-yJu3Rs9%VE1@A)IXPF
zNnSaoN0p=fZaH4tl*7-s92RQjP?jpk#Po9H_kDm{`3G!H{(!#$ACPhN15TTNfW+nx
zD3SYs3j!Y?_Fow?Kb65Gy9{5Smf?<T86;1Y;e|mN)Yg_EU#tvUCzv?0trXh}OYuIY
z6ifh*R~JelV^WF$^-}zkDuoqSDJuF(u)4eiK1n4Qcu)duhY|#um7rg{1SC@e7yc5I
zj}}9;t{8hWiV^Ur7`3;GG25~jI$Mijzp@yy!o_GDdk^lW_fUHC9!AgJ!`|&Zf=|6i
zy1{$Yta*>YdGGP>R}tp47GZgQ5!OZ(fpxbCdgqE@U|57b8;W2k&ZK_|VbEC!z4wJc
zTp`x^6hii5A?BMDVupGlzAh?6^Rz<b^%Nkgv;cQr7QpIW0d#E(uylU`CN&CBx1<0u
z+y%JSpAY@=d`Kkaqu)OtsrLD}elQ<8$OrGTe0<=^hu2^pc2wqpHzf}R0eQIYkOvjB
zJoIbj;nDIu=<_msz)&vYs&ZkHnu~vdxrn)%i(Q9vF~)EQK`U~h#+Qqx;dijFeuufQ
z-XSsQ9kyP3hxWtoV7KWVX34z66TWv)9(jx0>bKbS>McG8y@l1axA^byTU^`p7Sm<k
z;tt<i2#maeU-cV?2YUm5hQAQK#*`1gfxxCW@L2H%TzqeEeK-eWRXI4FnuGSh92j5C
zL9tm5)U<ODw>$^pygBd~%EowQHY`)JQ5}$tjSks}Jd_PVt!&sW%f=U;Z0HQWMoh(P
z%uap{n+LB^WB(d!55C5I)@yu~evRETUL&DD3$x0za56Cq`S-K1$Sw=^`?FB3kp;OW
zS#adaLPKvRl*%&U@-h>RewkQ#ITMbinW$6Ggp5=su1w2BX?F(1OEO>`pMlpt8Q{B^
zfqi>35T%-dF^LRp`kM~l&UAb(N{3u*Ixc&q<DE@9_>I!BcSAa!E=<S3WExc3({Q68
z4ez7UAapkk`_85zY<C*^Rnnk5KMhxYze4VpSD2ai3Ok>_Lcr};_-y?O%XYqk^_o{m
zp8E<v$5X*-Nrmg%RFpkSg|J&HOsrB7x+4{xt5P8+nu>GZQ}C)W1;4XXp!GBbx1Cc^
zc{~O4wx!_E$`nKhrC{*CWUTp=j4N5m$PG;fuVXTHA4^8CZZg{ClOZpVjEkHkWY;Bu
zJ0l4@Ly{1DBMF^HlAyFX30Gv3P{5xAq0vMftVu-lt3-?iB|`gJB76=f;<I)l6jmg{
zfj1E)LkU<=l>n=h1Y`vyfZrhjhYls+|DS2g5@5`efS7@om@I#ZJxMPS?f()}b}wOk
z;3eWUUxG{eB@S`FL|Weq2z__~>x365y7vOowl8pV-wU*Cd;zt^FAzNa1%CF#V_#`J
zvR=eP!Y>{-FU6zNBp$lz@rYj(50Po{xY8Ym_To5fi;qK!PaGsK#^LtfIDAu$!x70i
zRQ`>HW>+j;zK?}eTrB*&W5IPH7WT%m7^YZQNW`M)PYm{S#-OYy2AgAJ@Xjj+8_&le
z(}>|JDF$icF<Ad68tEO;P%Vl^PE0hky`oWU6OEll(fG6>8s_5B7?_HJZATQQ7e&D@
zCJKwaqL5@0g-u3LsNWEUQ{qwhI~9q*j!3L3ibQctBrLobzSJfXkBlOrPLXI9kHob<
z&mq<M9Qj4h!Mtx5g5J-Oe*QU*7(d4>)#u2Nc#h+LBQUos0!8m5U>_F&MV|<U7mh&C
z-U#ecivaJU2o(Ga$F1&gXqJRyDn1-<eZ%2&DI8l&!!c`PIBKQB@o0KDj`u#pnzCp3
z`|=qo?>)m)+h@42{~5MuK7)kxGyKQ>3?KT#5LF%q=cF(kc@PGzD`Aj66b5dsFbpgU
zL)FYMWDGsUv#O`?PJN22K~Hh&+EW}be+mPgr_h#t%EZ%8v6}q^@^w$JBI5~`K6(P_
zTTFV4DeFCfg5ndb5qbi(Z;zqV@EE(YAH(eFW1Mw)j9Vuk!+*zP#IAmfyg852JRXYg
zEuj$24aJ)0p)kA?3fnWG2-zKqymg@%To8(RQ;)Ez;}H{2JVJQvBh-680{_KF&^CF*
zaORJYCiMvaO@G92qanEXAp~iOA^7bdf=yRK;B_bjjang)SrGy|z7Uj*JcMNJLtIRM
zh_aA}SbmG)*N;6!yWT@+uY8E-!VkgsJs9Vkg3<gY7`oxXc;z09<)?!YxGNa5)&;|P
zK`<sJgJ9PYgl|PbxD*$J?><3rxD<rHra`!)5rjF?K?s`>1m(d%<W~kVww~emg971p
zJrGNd2I9?@K$s~6;;&#JBEAJ+dt(5;<pki#vjFJ32Vl}V013MSaBN)w#1{tO<J1HA
zbw0q(;s+3V@c^}c4-jno07niyfC3(1eAxrM=VfFg{y0<X51kBuNQU}j+|eKP$Nd@p
z+8@EI{c&TiKaT&pk6o?zp;2%jiZS=G$ooD-F5U;P>3vMoxR0qN_c1Z!J|+k6;cwMF
z%t*Tj!H|0lPjwHnmiIv0?qU0?dkoKW5B5L(aQ}-R67&5~743(wUVad}=m(amAFMR|
z5FqV`LLNW-81jW;jV~<HeG&S|7fp`7Sa8A@2X^@4iLx(x=J{gvgb%K@`!M?J1Ic(F
zT=4TjiLDQo9`wO2Eg!V5@PXDWA4GDzG5eD@?6SSl73K{icW)G(_J;Z%Z=`JShLWT=
z;-+~+q0b91%e|nI;)U!WFX-Oz!bb})9N+4NpGscvnd1f7U!Evv^@K&CC%ED~5$)@V
zowlC%dB78qTAnbL@dVFoPh@|+i%Si6vFgoT42R#vi#vB=bM7wI8{fqrwYw-=d>0RA
z+{Ni351_^aVi_LbgnFRD*#j@FJm9y}19s~?82jRZ9slk?t@jQT%I`ob<qqZr-+|E0
zJB$y+U^|mnW@KVa-Q;a3bl!$q$!+XNxXtM6ZP;IB=BbX{MuP5bRIa>@ucEgx|Cc+o
z+T3xb$Q_U3-BEGR9n-J4L;bKjY&W|jRlyx&!tPKVcf+kOZYV8qV|;u!obYo)mYo}f
z%-mq5<Ay?cH!Kr&gWC^R41RWnVSy{&#JXaopDUi&xnho)D?D{v!K2^`S7BGo7<Ylk
z7Z(T@x*#OZ1+w>CkYVqF?T1~^zS#v1iY^cnbwT=1XY6lt#@`}m#Jq5ZvA;98t~w*_
zh%>D9oUwG3Gg{|5<MD(O%sZX1ywnN9iB8A}bb{LrCzx0|L2-u@xYjzMb%7J?|2RUe
z+!51498rDJ5s~X18Nb017B#o9{pl^Jp1lR7jkh4jcMI|jH?b!2CUEH{jI?j!oX}19
zez}44_!|tba{~*u-hh$V4Ls<+j+T_`4BvDeH+Ee|<D%<O8@`6H*ViEEaShI<*D$r>
z8Z#$#6*CI1!vEe?$R4?h{8d+RY|4T0X&jIh;(&9f93ZdifFT|Sq}E@7^Ybe(y>ta@
zH(kM8kt>*Nv&T?^J=$;B<Fmd!S|#k!H)x0PEISBz*g;{R9SmgcVE@Aw(M7gseP9a-
zOIw($*dlhiEq>Qr#-3-Fk$C<x=4xHWEuqW!+Ik765-y?t#wDCJxP)Jlm*6#g5i4>o
zqR8_iP9MC81&S9@{`&&l%Pv4K<N^e(FW|G<1tjxbfLGIboQpjVQ-|}=-F6-t3(rG!
zzy=$$Y_P?{27CA0;EcQt?*2N5gwk_pdUy`Atj|G5{T!V6&!MFGEat|a#mQ@Dk+<V4
zq$SVd&hQ!h$T@@4-e=Hjb_Q0f&fx2x({QXh4Y9D(NIicVCfcX*PvkU`JFRgl)f%#{
z))+RnM&=4@-2HJ1$BIuuC-@W;PMyMh^;4KN>lAoCTY>kb6@+hEVeu|2tY2aU!>`O+
zxARZpssBk-Tb=~(hLg~pc@mzDC(sak0t(koz*YYQx)+_m4)$?m<sQeX`^OP`>^L+3
zcO0*Hj$?D9C0b%FapjsNBn>Q4EM*A?&M~abKZdXV$B=RS7+mQX_VFEqN{a>NzO=yP
zO$!X|wm`>H3$%_MMd$mY7!E#)DeI${r+F0XgpT4s#}V94J%ZP6M=)l31nU)!;Krmm
z$}7#W^qD#13z?&1i#c{IFh|bdVXS*|7^%L8p=xm$h3gK(bmn1vZ8F3C7iLhuWrl%0
zW_YsP3<t&!VNuy3^o1Tmrp+PvZ8`*-d52)!e-K*P2chC~5K2c6V%55X*f8@Twlp8W
z!IuYM?|1+qMh8$Ra{%9e?T1puew+#0kCaRM@mF_0jKufj<;Xq==Iw*sgMH{Zxeo_7
z?n9&CJ{;;aMPHgJ96U@RVrGgYWmA}Nn}Vy+1R3!rxOmG1>x@h=C1Zk$-+K{JxfhP%
zdtqs}7rVCag|^gQsQ+gS_4mfm4l%~AbH=dTWDG|!V}uVH;lo=aOx!oZ+LJ~&ztIS3
zLPnU@Z3yE`LnL?^Lg=U=?AIHjhtCiPTKC{n${y^$y$4+f_u#Vf9?YJx2k}k2u_s|S
z{y6VOis^2gS-BfZ({|%~{Vo*7?Lx?{U5wAT3kT(QLHEy2sMhVonivK*n7rXmX8vy{
z_D>q%a*Y83qYUuwngQ6m4Im?90Luw|#8&I$d!#-SkLe?Pw>}eR>EqPI4rcCh2lS(M
zpyb*P?AWsd^)fqfVsbnF)NIG&=<U$Cu^k-4?TC=u4zoYoAoXz@dSkaC?bbGU?%l@l
zsN0}FZ5yazE975p#Zs58klw!)va7dZ-Hff++M<VJ$$HG3mmU(#^w6rJhk5*ZFlyID
zaJnwKymYbtm@a(ObTKNVi@m*DP>{0)s{UK>>eLnxv(6(=YzquWHe;Y*Gj4}$#>xwu
z(Wti>o>H5!<+~1e%5_i~u7k%8I=Hl32fJi-u=dX;NY-zHz>7_o;j#(b2R4C!%_hv}
z-2}xpZEQ)`#tCn2_*iP=%|>l}6V+yX9xYtX)55!8Er^`g!YMs1lt^h|)eqoN1t1g&
z+`SIWHU<I|f#qDl>t+^AQ&^brU?J)#3(U^I5D{Uare705xtg#H)`aSLP0ZP<iSLUw
z(K@by$|?;MMr$DNmIjJUHBh};1D!K9FwwRV5}6yJ?Y9x<tTrNCYa_la*oehn)nQet
zj?8E35WK36(}wD(Qc#CFmpWdwsA0t`H9YrHW9IYJkfEuD9b#(e9aY7hVpS-IsiN(Q
zDgySX!cajKVqB`|Xd$G$BHZ;RoH{|+1%k!`!s@RZAYZlt3K1Ky_WA~B@7(~?RU2?=
z<^}||uSagydVIaV9`a|_<K&k0cp<f(i6PfvN6k7!#;wB)*L65!whql3)?t_MI+P8l
zK)*l*^`R;_Zl{9DT`G7euL4aj74&~zi;(oSF!Wms5$m<goX%Q2U$hoi#@E2GW(`#0
z*FeH;4fxI1;IHZ$Oo*<*pJ8S27As@HGi9v4rVN9<%DA{%8ISptQPs5?yl+=C{Mu^x
zTwIM7{nc14yBc?=t;SHxDj21&LcZTBW-;(8q;6Toa8|33`&$XS>y^-#s06pWN{~OU
zgpW{yySNhYeI@=>tz>j>CGNScgyoTyU~OE9#bPVL^HmXJ9~3bVrHCFUMf4p~1cwyy
zPgD_NqY6+dRe<Sp1vuSOK*|9H46avzoQML>4$C8}SRS(?<Y9SJp5d<Lp|D;aLBfn|
zSPpK*a^Q)OgU?MlNFI<w@_ISwi^ySgSQbGgve11li^*HE$T}#C>%^4j$U=-QgOM^B
ze29`kqO%M_4$HtxT?VdVGI05C1@2U?z=OCIh<0CrT#FTGXRQE_#0sd4FUQHc<#?93
z9G#xaA#b%D_M4aE!;<BYnOcTBP0PSZTL$y{%kc5sGVI>547IY$aFBZ$hT50H>CI9|
zg)Bv$-BO%3S_%o}rKp{~6utw}FnTWysR(JXZ%L#0kTfFIq;XeF8n)k-;AHg@n7>?t
z!*`e9*vTcZ*}Mc!(n}EXXECx`7Nae5F=hoW2J6yd*zaD945h`G;$MvI{Ze>bB!%&C
zDVRD+;jNhz6gNuY=>jP%{ILijb&DXKya<Uti=cC65n8t`!Y$cFkeRUvA3G&+Csz_W
zPb9&8T@vN{B@sfB%(x?o?cXFA|6T%f5+yLrTLM3<CGd5t1ir~gV1io$d|l#@$`gm$
zQ*j);A<nEP5=XL{IC|%cL;A-;9Q(Ks@hJ=O%Wole+AKt@!9vVhxe%B57owwo0ZfV)
zpeAww3|$wX*<t~#v=?A%@d5<@nGdxu^U;w#AHE^;q2n+ge@y2y^K$dyK5ssZ$HX94
zCx+=MV(9V{Lz#^jGIokF^P6IboXucp9$u8qLsslOl;4?$-jnmdqc;yLW#(bujCt_v
zo{PeQx!{VJi*3$x5pZ-a`n2W(OXlLq-#OrFn}c(2=b-)Z9PGO>2cHhj!2yjq=#iKM
zy9rSUw1^_^wJ5{Yh~lS%C}Q@D;;@=1Bo>OI^`{7;8%1E3DS{orB9Ofz0=|7B_(~#Z
zn=gWo<HD$F5Jq)|FdBk{(QPk`pQgePRTakC1;W_(QwXk&LP*aP0y|g;s~m)IX}=KO
zstGaNx)4tO7DQ3AAmp<J;r~bwT-OERa7Yl}H3V^Gkszl15rAK-09L#cK<-lk9CZ``
z?@<AyX$#=gQUNUE5<pkiY{VAMhHd0*=(*3v;*+y6r8gTLa<fs+HydvTXW`X{SxA1t
zq~5de=G-il@0x`U<yn{%nT18)__6sTKQ5&4<9Q%ITJ8BEwVxlB>ikHO;K%eSK4vWE
zL*_d^NIv6(yE7kt9OJ{8Eqv&g;e$0VAO0KQh2sZa#^>Tif)6itp6A8b9$tj0@WOB&
zFZjo2qNH&qyk5_QN$5<-+?>g*MVg65?U{JJY$n2I%!FSb4_r%ma5J8PH<P#Ff!`h;
zgsbo%YaS0ijnBZZrWsh8GXr~`%z(S&4CGnN!1OIMuuXOb0{LcOV2B%=D!K72i5oNg
zxnX0=jW$zm>{aJRjU+dW{&JzEgA1n$xiA&Qg+LE3tUtqr=AB${Tf>D7bGb0`V>+{T
zXFAU2Ovn1C)4}CD9SxS#k*qfz_Y|hXUSK*bIMZNMHx1j<r$O%_lU`@a=F@O=(=^zw
zm<C_oX)ycrj};U8kM-B$AM2?6KUNj{FKb)+UsmPyzbtc|zpM$qzpRMrKP;1=KdgC&
z|FGJY|6!#KO|b$~rdTcxQ><%RQ><Gvr&vCfldRZ)NmkXNN!GOGlPuQI1nYLn1gphi
zg0)e5f)&L(!CF-PoAos4H%rO<H|xC&vj%qb7fU?-7pwlpFIMQ5U#xQizgRo!f3ns+
z{>hR%{*xuE^pmyr`#5Xsn{k%4+c+!8V4PJoZ=5x!^#{u$>IW<5+z*yC{b1ey`<*3N
z@|_jn_njrT|2ylw^mmrc;23LJ>KLo*+88Tg^BBujV2pMA(>Ipk({HTpR^M0#Yre4#
z{{D|;Tksz%#Ops++1~&D$Ix|$WBo;O6eX2Vwz5aE$vEdUtV&VZA|zClt&)bl_sS;O
zdlu0!qf!!yD2YT%>sP4!-akIi=bZaI@B6&p`@QEr=bZbVduZ|6uVgeiLur*W^xJEO
zto3H-+431Oeg1`pvc8bhsV}rr?F%*h`Ap6opGi69GyO69OwS}fQ{AUelymbFrTTuN
zjGdpTWX&gPd;O87iawHn$4A<~=_92s{YW2rKhU;}4^)2Q1Bt4Bpo~A$Bz1q9>SL$r
zpv5#TNKaGE*C}#qnj#FIqE&mR=!@_a4NktN$JGp6dQXGf-_sYK_q6KuBw_I+xqD7h
z-IhsWUOq{O2j0=GoOdMS^p3K$-;p@$JF4uNpzY}s^x?z=rKnBN-i2}EeK=0zN#k_e
zW}L1mj#JFsTMFxVOHpxeDZ}zD-CX~chW{HQj@B_Uh#sRb^D!Ed86)){Zz$#78)A=q
zL;hxOXsPrYO8z!Vs&_|eAbga950BDTsZnD4_L`pGc}<n!uPO2HYYLQlO;^6XqJX=v
zC_ds9m6^SwUg=lF{9}Zmd4#S+jWE{E2+7EeQ22ktG}k&z?y<x4%W{|kHw@F-xtG*@
z|0Ovmz9gCBFKJr&CEfftMA46i$Tf9{EKd&6fsI3SaPbh?^bXSb>_JL#8l*NHq`75-
zq%-(}0t#NxpyvzH(tklY+%Jgt%>X4-43Nm>0jk_JKqf*1^xxETDy)A_cEQhS!@=kD
zSMoW%_}))<TKcIxwx0^E`>9N+pPK&lQGa(I&8GK}%;`R|f<C&otdBkqJ|lyoXOw^b
z8F6iYMnQbfh;6c$Vs7-3WKb`)9Oxwnsa_KK`ILs*p3=31r{re)l#JD%lIr58B;MCU
z!nr*p>d`}r`aNX0x`$4VKcR%$C-flT2`xMDgbqkOq2iy9iM``7xg|ZO3H!%nqxqPo
zmOQ2lFS=<>Q8(T4>ZVgh-6Ss5O%op;QFYTJ3XOb34wjGTfYKu}VtPb7o<5|#IS<Ls
z{UQ13Kcu2H4{7M#16ou6fXqT4P{EN0v>^Y0j{WVT?#ErEm)%9Ju3coT*F|quchTi{
zog`J?NzX$&Db~D`4k|G8h5Pik=RUp8xla#0?o+cN1N`^t!E^_WG<DEiR0oM2>!7`A
z9TdUZK|KTQw6?gNJTJD>bCY)3D%MUnzPFKjM;kRIw~>is8%<FgMXhQhdfQ4r>ssk%
zNGti9x6)z7R?=i{CDFbX;x1^Rl^0rQwQ&nch_(=ZZzju*W(rGbrhBKGX<>6SZRcsG
z)OYvjzlM8c9(j)*Sl=T(^?TI5<Q|#6yi4!O?^2-OT~auBmtM==rPRN7$m;1GQpmeQ
ztX_BM-L5<IRP+wD|F}&powung{WcA{+@|mPw~1HaHtBt8BCqBqs!wbpW``!)x2cIL
zxSMG8WFz@CHqu;lBYE34603G2rL1VAjbpcH_{J@Y2){)J*0*Sh#w~irev1lUHBeAZ
z1385>kk!!!GE;3JizN+oYPg=RRMk^vP(9r@uV<8p)ss3~J)M7fliDk9l5o&Xx@dlr
zCX{c|A-0>;`|<`Is=7fFK{x24#SIcxy}@|a8+2}@j?`-E=yymRby(I>hI$=cT2@E)
zqqTJSMlJ1&V6aUs*=yC(rIodmF<wI*w`%BjObw}>sG)OILv1`YBsg77UiYf$O;R=O
zJyT7O^r~sMU^Ts*sUnyARkSj*it0S7$Zls9trf4L(chI+@}!ck<X4i#rApG>Ur8$R
zl_bYfN$UqINUgGh41z1j+OmQIG%BcSc?C_rEhp*5a&n3*r#q+0iEnE;dGVLi_?I#|
ze7}tPGt0>QY#B`%mywTD8HxTarLMkG@-8hUjet`6ZC*-kYNeFIQA%gumXJkb3GIw8
zAw5S1^h#)#PzhOnFD9>t#gu-%m^!_S>F>T`(%Dc<K8uU#$#4-#*A-DvWD$L_D<bPn
zMKr`)L`T0A();^`bTPY-_`M40wrL?bt}i69MTIo_vVaO|3+P;A0qwCbAeGGpB*b4p
zE57E_(g*p(aXp{-F6PsQ1NpQ=F`t~5<Wt6I9`!Zk5l?&`nV-(15`#Qiye^OIe&^DY
zr@6GXB$pZka%q!gE_G?<(owElnw`E*nQhl;XXbTcK7XC=nqH?s`RlZw^*YJF&Y@)u
zIrJ?qhsI9l&`ZM{8Wzo=iMea^tM3|dRa_&r&}(FQ{2Im5HG0H%jaGfjCW}YeRGFVm
zD}1xb%{-f4Yh=^@RoT=#okfS+v*=w`7G1oMMM4L%s6{D@T$g2$>_jHLzne*wshQ;C
znMsHDWRjMACW*0S68D=7;%LgC<ySLkjavpu8)wiK*$lE-ltB@%(&<h^I{i*aCmok`
z3fP%W1JdcF%92irBWc9ckVftaY4q7Sja+x8(I4qFie^cp^{-N?yCId%C#I6TYbwJo
zQ>j=smCi0sC8N<4l5R?&WyvY@pL+^T?@pn2@(f<W(BCE#`@Lk6Oi!k5=ab28e=_AM
zC)4QiWRjS=N>1%psrlMf625$ut{k~a(;KhSQJ$;x;!6@8d6Y!sg-LWaFo{;#BvJLI
zB(e}nqLsfB>3&}#g;XVyX;dPKJ0{ZnwnQ41Or$pEM5=w2K&6cgBqva<X9BhEO`svA
z1e#r*K%&#}WO6^A0&?T2#W$XoTE)`=jHhCOcv|u+j!yT*(Tl1$+7%r~ou}hyr%@a|
zmx-fOtZ}sHZ7k*8i>2L}vBY$daWZZeOBXa_Nq0>waet4Y>7E$sDvzPch#1Orh@ph-
zF%%~qLsu8aQ0`bX)!&PzzRYO)bupU6&7<jnb~HuvMbp!tQ6$(GMUK@`)EW~-63$T+
zW*kMc@=@f>sG<7wK9bz-N76!GB*h0rlG5==>fIVimqZ!zLIh2XL{M>41i7b0kluv|
z5;TjTS<MJ~%^N}8Kf|e|FP!ewFgPxpx?RI*bWb?VDTR{|XE^D94kM55Fe)hxqv`N4
zQg#fZ%SK`JOfHO+*uyCPeJK6AA4)C-p)?f~N)Gm+^vxiYe5FE(pEZ<jjE9hUTL>-5
z4WUN=5ITE2gtYWRh*=_pdRaoKcr2JgTY||sCzy`<1=C)eU^3ASCR6cXGG_^<Gh;y%
z)DlGbIYHFz7ew<mL8Pn~L}w&|sA^FV{dpTmCT)RKkQ+!#0t3m(E|5kH0%@OgAoZ{X
z(*DT+dVN2DTnhteS!e(ip9&yTqX1f1A3(Jn0p#-0pVYej>2H}oJ&E$CLT7&p+2c>n
zD*kko+n@G+_al=&KQgWJBl9FbI(^QM0uKApb!|WD67-}0=6y+S#FviW@ul1>U;60d
zOJL(mv3kDrS<;vGviZ{ONgq<`@}a_FACismp^7s;gu8vHN7;uQxqV3R{S`W0a)ll_
zT_J7ND^&aQGEu{2dUo+Lo!fGm<Q89M>}!{(F8mV3?7l?jc`lLDz(sOPyGZ_47b!>L
zB0Zk;rlqCcwA;m-a@D<wZT144y?uec`(B{Sh8KvJ;{r83@gnC0FH$!1qJJV@G&FXe
zS_{ro!|C&MTje}G{_h-pYCJ~*zUOGK;W@_s%+Pzzl1b88x@~@zw8hR+%R5gxT<S@G
zTs^5w(~}(kdeFvJ58@2<pr0ll^nNu1L+<o5+nrXOa3?JVcRKUkjVc=4=-(ALI>IO{
zZ(Z(2+Rt3+c8V*RSi90kX;-@X$%S^;y3lHG7kanVh1!?8P}LJ>Do%2y%A?NID(Osb
zKRD5<8YeQk;6$-oooIZi6Y2Myp{lEANZ#rURZE{C!_TK_vhFk`UOG*?4Nep9iqkaR
z=SUCJ9jU?Ak!m(L(ybp3^tj1^z63asu(1OjT;o6)Bd6$V-YGJ5Iz@Ljo+7P<lXU0)
zNivN&Nna12qzti>ba46v3D=yU&)z4fTmJ;ruQ)-K&+Vx$%bq$;+S9m-J*}L#BZD?O
z3W>C%7YFS~UDS>;rfiA3#+DK;+LE}TE#2m{CELN{#CQET4V*qs*Eb%gi%iGq*aI8d
zn_xqGEN$qBtPQz*J4W$M$EYRf82#OIj0}X1QOblh%~n{G{RL}!t#3`XoYwSn(2C-7
zt%#hh=)1NR)h)In|0kAYnQBP}c9x{2Y)P8)M@hHiD4E3`rArn^sZ8c5O?|T<l{*#`
z7-~Ti`z^>+)PlM`n3M5Ma~kn8CodCo5)(A1{)r=u*zyP+yL5!KcN`&+HAiU08#7`r
zGb1i9Gm<heBLgloaveELMMa0{ljmU~-NTf;@-Qt79U`}aL-f`C5MA7Ih<H{UqPoF@
zbUgnciMSu6x0?@A-SUGJH+X=&^AC`V`vG#@a)2(aI6#R*`>CN|KfU+ZPZGNO$$@h}
zH4X10!Qy=saBd&X>hGfq-1}(B=w8Yy+e>=hd+FQuy;R1#mpsNz$*|g#Bz;V2g^4M#
z2s1FfhgR0_A*rA}w0-{`IxD`1Dra`n&pW%xFmgBLnD3@#>vz+o-zGHQVM2k4CM0NU
zLXD~>bb{H0*7g|Fn@nSd{Tfp!8j}-;F<B1nBD11hWPN@Yxoz7;(Y(8;eqtwmtldfS
z0XxZa-%ffczLPe5Gos{XBjSuTqBv_K5>+;$hJ_t;^vModp0$HIoOV#eCWgLp2Wh|B
zPNL=8iTm<);xyS#d~3JU`p?^F`<-p%7PXBEEVt35;x<xUFr<(thBTFBNC#XD>CqNL
zGT}0$mv0Qnz1o0y{SByXp8;KxG@va%^=V~?K20X+)58<`bW2O0YT5OvVMvd<O7v*_
zq8_oE=#ln1J@S~*rCZIq#1XGcCv0`8TSJ#NEn$qk*h*WAx6(83t>kRHm3Y@}rOufx
z6wtDTb|!2g5&JDPr^)Dc&Ax@6z1&PaWt(Z>%4V7}-Artfn@QonO=Q)%iPBRy(c9CT
zNMrLRisjlwzuyv_x<ND%LUh`k=&u4%3KP-hXGk-7NG0cy;cFmmU5h0A6^OYF=xY+t
zhf_c^2(-WnB=A;;=!OnChU!qRg$_+B>5#@E9g2LeO<#(%8NRJHJ=>#A`z5t$^cSP8
z@Ix))&C;S~H->DeMH+%ywD3ujo;7PyRiY-PoYJHS(xgx>O^TV=NY@%R((TBN^!C_B
z;@P;7jF)Ys*jE}fTCG9a!5Wlqu0ia|8VvtbgO~@^DWXiB#QfB$`Jg&E%B#~lCUqL=
zQ=_~hH9B`$jrQ$RBW+nVlKZPl61}P<Q=m#37gfpFRF#~iRVi&=g`W1P5LdnmnR}~H
z#U2$}A+185^U5^Yqs*`$Wt#F<CNEQE;+9dSx<5*c7+Z-13YBQ+k`m?ZQ=$uUN_2QZ
zk+$?Jl4^+}Df%js`XNQqS5Ty*ixkOcP=U%S6lgq9fg~*y$VpX!T9zu1=<5v>T(^OK
zhi@Qvn+^0!YXb#xZXl6&@^q(3o=(Nf(^?048r~vLxqR|;_Vao&ZC_6t)7O)v`+5>K
zT2E`m)|1?CIok9@jx6%!DBzMD)$Ny~8F@KUUnEC<L$ZuIa#?~<S<1JTB|$A&y2>d_
zYbRx>{EiH5Pm-YzXJjbZK!!|2WN772X&QJWO+~rV6nIgZ9QI3-*#>DcT`Wy|ho$If
ztrWRNNKurn6xE>=O{|upwVx#ESi2;ZWk?dsS%z#PNnO&Cq_ZGFwF45QRVhL3ArfSM
zOoHaL88z+P5_I5$IIU_Er@nM?y5=cP=S{@vu#7luWfCW~K`~OS79-VgG1_7)Mu$j@
z&hd&-_7_p=?G&XIIih6hElQdDMd^ovDD7J!N{yrINa5BxDvV!88_ukw2E%o<TXY?L
zo?S~x&(_kmvbDq<yq4Om*D`9{*OJ}pwWRx5gk(EKh%ZNkI4_FOs)HgVs4PMX%S33$
zxG*{05vKHHVS45!OgzTIWG*92rOd*_HY~)jBO&UK5h5c;A-ZoMM8={*G(0Cr9{qx}
zrc#jZgb9+1ogm3?5u`7Ig4Fm^fMR+C$f-nt4g?91{xJbU6d>XgAj5C`bhw+J+za{X
zsy{!qTJqCxZGO^N!%yBbeDvTUABh$4k*^;gO&{eWb8SBAU(H8{W_W4rAupXR;3aN<
zUb<<?OSU?^B*@E4FTSp!tnM}BRJ4W+1J{uBu{Fd=Ylul;4bA;nO@De;(~`2)BpAAy
zHrlPGBU@Kfu*hm^n&qLnejeIV%|lU9JT&3JL;Blzs8oW7gqe6KVVIlNG;mX9A~z|y
zaZ{HGH^c6@iFYYO9_ONfW-i*6$wfTgTr_!zi(1vWsE~_`5<jn^u!pNCxNsFk2Ckws
zn^jb`c@;eoUPb@Sa+1^lCt1{TQd%r0jX80W>Ml+SljEdmHcr|*zLHv+R}y5cq^652
z$>7LJdak*WoY$<RRo_=oL(d9wC|^O65i983sTEYYZ3X#Btssj<D`?Z3<s^G|ISFPg
zXZSqJiPvm7iE1t<)iuj$*LMzbddfk`6&&;+l7kkX<{(2O4vLZGpfNTM!ii;+*}9CD
z<}9NNKFjEb<uW=;%ZN#M8O6@AGvao3dU%taJd)T+%9EX5?PI4bRdzbb#ZFo?OKH`U
zr8HBvlwL$ErB27CbkArh-IZHP9ZQ!||Kt+-*s+8-@|TcG;1aU3T|$X^OX!*S65?lB
zLUwQ1=+-?p;>%_u?<;IHX~{<Bo7iYTgpH2;Wu=K>RyyCrO5EwJRO`)3mgcO)39Qs9
z$V#Dei^+6oF^Sz;OuthW(}34vx?{GOO0^eLj=*Bdnq5S>gNvxDVG*^bETT7Fi)itY
zMWm#&h>i&^qO>^{8XjUHsYVv^Ok-i>!&zv91q;O^3o(nZ(7C_N^kamXyzVd)YZf!5
zTwx}4Yi1hQ!c4wm%%sM`OdrRXsI--dJaU;xFOZ3GhXoV;He{j^876wLl!-1rTR`{3
z1@t<!fRO?VSo!iFj%EBqaqEBRD*g|jjQ>R__=`7A{lzUC{^E<zfAC7xA5{1FgTFWa
z!3VSRSkg3)saNJPS$7_DS?BR?=N!HdpF`2zb7;>!hmHNSxHe@Lqb+8UQ*;(H-u_1I
zg5Nmq@EbD}f1~ZUU#N5A7p}eV3s-IWg<LGZP_*Meq_F?+q{)An!~GvlKmUna(tcvD
z)lcM={E12Lf1p&^4{UM$foC@UK<WAK`04I<Yzg>|c{{#i(#r3c`0N|zB!9!(N5A1a
z@oy;d{wvy)eZ@MrugI(Q6$AgyAWQ2EMuyCww8;#1^UR>%;1|@-`hu(NzTmg@U+~q;
zXMAzvGmc*Tj6ZchBR~6R-0|cSh9rK%KJ!ngDE^7@TR!6QijNrW`4L6&Bi?2Ch>l$!
zP%7pFemeL8TSPu!-uN^omP}*3+cairPh&mPG`_w+g*?$yc;Mg^=88-q^Tc~}EPan}
z-QVL$c#rce?=kJcB<_ft#KlJ@@sZdh=1jfAz^ZrX>GclXx4y&6?C<dE(+RwtGJ!M4
zCQy0(1YZ6&j)S+xajXA0-rPBkI;+R=!SGu=k@pt4oZe#B#<v)?FoxEhW4JkX4CRlE
zp`^qZuK)N3H`TpCtIKaNa@!m1T=fQ54UMAR^-;WkdK5Qq9L4H|*9cv&@oC&^^sso1
zlG3m7&6ihL((nrX{9mEH@hd#U_X-cZ89}R(5j^WTf~lKF@FDvMviA++{>))4IXR4+
zYQyOB_a*+j{}MyvUZUvHm)Iur5<R~Sq1x>s{2M%keS3$nUStRh-w$G5%^+4>9>n$?
zgZO^+Ao7pC!2KmJFyrhC{I-=LuXus2F9vW^?f`Z;58x3Pz<IU-EbM)bHkr>+*5NtM
zYdpsx=I7Ya-H&%t`mxonANy4L@$26{6nfByrb&I6VAF?h75i}0{4>nI{|p5ao?)u>
zGn7$yhWBQB(XOKxdE<Mr&#D(QH}s;%>{C40@e~c>pW+tlr?^ewDIS^YL9hEgn3vFl
zBgcABOsNN5|2)C&t|zE*^$8Z)K0!IvCs?=e7)`n#<M-6Zn0xXu9^3dB*DrpI3s1Xo
zG^-oC&vau4bTj6z8;1uT;cVU`6!&<92X!A|(yB)|_Ua+(ls&{u?}xb3=plyjKSb`y
z2bf>?01W~j;LP3!SRnQQ9cH>v`)(KVM0Me;MHhaM@4~6MPW;x@iAz#CQTAjf?$_+Z
z2)0h_>A#PndH2!V<35h*-N*er_px`Z11+jM@T+eJ#+i2DX0Z<ZHPeob_u4TmrXB69
z+i|CII}%en>h!dsUUnNEa%sbJTiP&Z731_{v=xP_TJe-`E4G-nqKtSeUj5dB+^sE`
z65oRIwk_DH-h!^IEhzQ887K0avGQCq25oP~lLF0nVEP^!H{QcN5%<vQ=somOyoZ?!
zckyx0U0jxP7fs#o;&uJI$i#aWPfp&!;rcsh9(D&O%<td@g*zy?a2wluZlib3Z6uG|
zxXkc2j`1<Zrkb#(u?b5fo3PTV3Gb>j;ozbs{MX-ziiM4M>Ovz{>}o`&b&Y88^%l0a
z-a?I}TUdSa7V5w)>|SvT9Y-6Gr=|fr0vj;ka0434H=x+RdSrT9kJH!d@zvRS9NAHi
zlfw1*=gUnLZoP?yNjK5^)J<%}o5;56CYry!fsHqApmf*`Oh0-9g;j1~!QvZ8FY0il
zqz*%_)ZwOmb@)%Z4!h=RG3#+HUdgFNhqJY4WyHW*hWxDtuXNO4R%#7)Io04l-5Mmm
z8VvqWjW6$3qfSCKUO!old{m8zT-CVtT@_Z{s>0pTRru?86&7h#q5X;~R2Zwog&URl
zGQ1L-tt+uwqY}%OG5B=_w$xVOaA*ZGSyiBtdIg?jufUR5<v3eYj;5jISYug^>(t9J
ziM<^8UYB7`Z5gB4N*NAVm7%Xj8ESBp;rG!}#<P}UWJD=C*p#BFRw?SPEJYeGLET#=
zXc|+34)!G&i6wZ8y9B?!FGjVy#dsyL82cTIQA4*Fv-pdV=SvaBwils5dJ&em72&oW
zMfho55oY{Xh=;lhQ82d<CodG@9n(V0k}brrg#x_tyZ|qk6<}~c0j8Q4;7!#69APiO
z6>su!TYWx;N9W_9eLgC0%E#C>`S|B!9=f*W;Y?Z{o_Ei~WjpgQUpx<Y&E?|!(_E}A
z%EfcOxu|EBivlXSIJ-0#$40MXfBkjrjk%65PF~0NTdpIEz;%@RnuB}0axmmt4t9Fw
zAot!Jv|FEpEi5@G`|=tl*IYxch-;W&dksbD8s1oQ4G(<I#(y2zSeccLr_X1jifJ}7
zt<T06EZKPLWftbuW?^b%7AD(gVb<m>tmMza2VXPs^Mgzj%FRU6OPLsZFcXKAGI0ZY
zCWee<;HSn6G*8UHXHFToe|rYL63alh`E=y$Psh6QbhHggM-iKJd=2SXye1tle@R30
zt~AuWo`$NI(op_T8Y-xyp%zCP8c(F6<K0w@OG(8R_f(uWPDPSU#SoTM93D<Votr6m
zEj9(YPN!g)VG1r6OTnx2$teFk89OVJ(J4F`MeLKYe@ikZ2_>WTe^*iM=~d(`y^24A
zuHx9St2l@Z@G<0XN%*5X2|0_BP%R({t*nwTK_>}&*Ce69*F-$^C=pu<5>e7W5u+^=
zkwqsFFRw|&MPCyz_E7@L7AD|*{{(clN<dLaz#-lQ%=i|MCm+Wn7RRGNP&_Uii^oq4
z?`m9tfuC`VEA8X(Z&@7jg~g$^eH_~A#$oc>IP9B?MS+1>JW&&ix1(cG_;f4=Y>&ks
zlCgM(ITk;U#Nhc`G01T>2J_ux&}dH#{<k3pOW0%Z<hy88Y>mc0S<(3HVl-BpMPus5
zXbj_tM*o>84Cs!+sNyKh4vxY`+bDdsH453+MIrr(M6ba}ymKQGIT9lAm}?~7HHk#2
z4Uw3@&KR4Fz_7Lm<j#q}oGTHib2I{9>O^1we*|j$7mi<^g=1A!IC@8iqsf_Yl-n7O
z%jLrH7h5=f7!SkAmN5K~9frRyhatz&FqDNbG!_WM3%^3KqCXTr)`X&JTqydugyM6P
zP*hh4#Z-<^Tsj?sS2{!RUw#M%28Q5j+Yl_#4M8KZ5d69jjM=Y(@zCvH<V_F8kqg0C
zY8H(CTES?;7mP;#1))xV5USQP5YLd^g3!n`2#+ZTp$}&e7JLrG=iPz0qAU=1MFe8J
zV<3(h1)}!)Kul&2#D(_(=+qg269oZi8ytYs_5pa_FaTFd2Vf~{0PdaeN2YdvypijV
z?g9R&W$TZu`u;d1;g2^L`D5B!KMZd5L+|T;c+TGsFC6#7Ks`T9mhi)xMSj@-))yCA
zeNiRX7aaq9vDDTVf9m_9p_DIXvijn`2_LlY@WK9kAKVq}gAY&mpy_rWd@bvPp6os-
z*>?rcBwoRegI7?I{|e>}UPk$}%XrV?GTN=Zi~^&VaQNCKEI)n;qopq4mC1{Ex#%KB
zI9|jeg^Sq##T!>ud*cxgZ>-tqjY6{*Fs|_e@?XAyWm_(w>7om`xWfzEL%c9?rx$vx
z^g^4b=g}(RJUSjakAZ^cv3%qlzRNy`3byCaPlh2+pGC9sv-r~WEIMkO#bvXeSl{G{
z9zLG9S>F@+mwF=8BM<x)?SX&xdEhF34^$m?$K%=Vm}BdXGqUcu>ysPata3x;vu;?g
z<Ax>+uK2yx74t(}@r1D}YI3{cngJJNPItjS)-K2@?SjG|oKd&Znc)vQGd|;t>`cyh
zvfT;$!<=x>9w!`H<AiQ6&mjM`Gx*5<3`T7@gO=Y;Bh{bA^_Nehl>TW{Ty`1_dK}Rq
z$q_Rw9PyR7BPvWeU|59%{`7P}CuA@SL+?6;3Nfef)xlGkA#w^G#!sR_$w^dnJBgCo
zCsCH^B<kEhfk&cFV90?J*d}}eSB%@EZHYa0x!EJ?*kcp3JsNe{;ky_+j5%zF+eGbf
z`FmS@U15uN&)H(xW?L*;VvE&Jj$_x=<M_$yIIfdDj+QevSW<6;Y`!+=w8I9+xoq&n
z&@ud-a}1LlkD;#mF`WNnjm_=Wm>6Y^XAfDUov1Y)o3cWOYAf{hw!%DpD}27fiZO?l
zcr4ozZ=JG4F*Qp}{Bsm}JC0&*^ikYmb`+<?k7CwG3$(dmfoeV$$Yo@Ke|RkL$A~%3
z7MLT4n>nsWb3DXmj<G#Q@I~qo++cSEBbAQe{Hz(CZ8O7vQDzu#W`-J)W;p)&FlIL#
z#!~@@ar5rOC@y#yxhD=GXXPQ}_dbM*hKJCU>k#@5AH+Ka2XU$ULA2U*5L?&}qH6yE
ztjIoq+NTd-kLCe%UvvN^p6tib)csg&zaM>6_v7(@`*7cbeYiVmA0D>Zhfa$7FlKHq
z-tE|nb8&l7*J>|bmEViMf0?3vn<<XQnBs|}rZ^{OimCtYLBrNPxDdSu+bs5AlH4Bj
z_-{8_weH4)F}v}|(cS2<em4gFGQo;A6C95<L1`-!^w?m6k7tch<GwK#CK#iPjWO0J
z8RO2syYS0{U6_@;3oYz-p_KYAoMYaFFQ4qhu8f`7>d0X2o%nLePMqyGLWx`>JmO}A
z8C#6-<4PmkHnIcDOLm~xg&ml^eFw_(?ZB3a?PyoK9asBr$0w%SF-degp8B#48F_3}
zi`<6mEw-V8{5HfnLp;=Fh?kQMvFd~&&TKS9U^B$negpiTYk<c*4Dh8MgLxSGm_Ei-
z>!Y@xK7KaU#|klhy!cfQ_c!aIR;(V%9@9e!6+K+ftcUbe7cH*oVvwsYHf`0#e_Xn_
zb8IW-R&T|n{#)_<zODE}Vk>(8*n%tDw_s`F7CdOb1vxag;G-p5F!{x1bSc`5`z~xo
z-JP2eg&F*56YjgS30<N$VY2lme5A4oITmfg1AT-gd4$W)5qfPW{K`n9d3-=zbQ>`v
z3Q^Y@@w*CQ#UjMB{easG0HwVEId=js5&>lSqJt}%bx<N+2lefA&_z=R3)ppV`lU8%
zm1|?Hk2e0?tBtl&+W6|179M|~h2PV)FxpuQH|lCJVn8j-o7BWJw={7}q$aMl*2E=h
znmEs@iE}SD;^NYcC~##XYVY01_>PU3`db5EKGZ<zEDgNqrhy{{8n{D11MhuQN8Nks
z_#|E(Pn=Lkc2LI~E7j3yObu0TsNq7W8V(#)!&@q9Sjeh|*9KKFuS^wdd{yz$0acul
zQ^mFaRPa!*3Z~_&;M4^b)ZMLu`4TF)`nNJhK2k=mYs#4Asf=1i$~e4M8N<FSp<bsF
zvSlb?pQ{p<8Y*G5kP=>;QACe+MLe6Ti2lxsn5wUcO#+Je{<8wEYg0h$6a_4GQa~1c
z1w1aGfR8_KK)tpN*qX8djh#2(8~qLFBe((OX5?|CT^`fY<ng$xJZfx{M{W^$oc*>Q
zr#si<yUg|Y(PKUSF<OtjV(Srp$)Q8H9A3XJhwr@PP;HMKhD*!gr$4f2_DmL^6v;A<
zZ)I`tpe#Bm$l{8{vUp=i22WMVpmc}~ezKIoI~p>WvRno)zm;aZ6KS-MmBv#irSa@$
zX^iBR#_~^6IM^nIE7PUW*j);fjHGZ%ObQKWC9$kW64w?=V#*Z;A7bc=l4!^#iSI`w
zFriKYjUpv*nVkgop#&DLmcYP|;&{4E9FL}p<6#d5?-EBxNpbZ5BZhf>V)(RF4A}z3
z(BP;TMrnxQn-yY6??mzX9Z}@DDvA-#qR6>j6w^gTQFV45_C8&Q7mL@SlK(pVXub}s
z)z_iligjr5ZY^%UyB0SjuSIcJ28`CCyac0Q<Btd)=@&ttauKWu7Qy${BFOmPIiBSa
z!G|A(aeap{#$^fPVlQF5vR4=vZ4ky-R$-KVEreb5Lg*eRgwm&l@U4Lm7OfM)^Rt3z
z`b-ej$^>z3upsgr6GSc$ME*5`DECDG^|}Pm{<;9hT@t{~Ljt%&RRDJ{7r^Xy{5XG)
zAFa~(@sTG#>h9sk=Jot&#LADuulexYEj|=V<ik#9KD=ziha|;^Y)pLkVu%-O>Ui;L
z3@-*a^5O+UUi1><Mc+SbFm7NCmR7I9Cy{G#{^S}|)?b58>(*f1+-hWfz8Wp7R^z>h
z)hK^*HD>9pM&Wg<F=vhkRi5);R}~LBMDpP3Q#^QIp9lR!dC>3=H}bsT#;F=^?2P8d
zN=I(Iwv8K8CAcwtfeQ;>a$)05E_@Nsg@2v7P<|H|+Q@QY&SEZ{9$kfSdle?8tis=(
ztMK^VRXCuy3iorY!of*SJkiF9|FStT;}Rzt9O1<OHgaMG4=1|LtVHZyiJZkN@k7u`
z>^Z&?Z*N(NH6kmqYHkJA53IoZwJY#-><VOZUV(DER-n1u3QS~MfiK=JM~UX;crJ4}
zKJ#9VT4u``U2vA8(CX!w@|6SEJ>kIeQVui-<G_g%92jZ9ftw^a@D~#Y*1uYYeof18
zf9f(+JiiRN4lct#YRhnjYZ-q0!j3cD?D)5Y9l68UQRyT*?l)vdKS_41XJN<xMwcSp
zU5XJIOYyDuQq(=N6pOW%q9ET=jQhC+x%-x2YV{J7k6nUo&P&kFWC^ZRSb}#smY~-(
z8zU#jhOC8bI1t2!Rd#F`ug`{;B-qfIg$*6vu;Q6}tav_)6~iyHV*XK9>_S%jA;gL@
z^NZ1DXfftBEXJAS#i)0FF=ifGjLe#g@igyZeEo9~W34a3k=jLgGGP(UyD!3|eTz_A
zZ4r)hFJk0zSa5GI3$CeVVaz8BR=KiZxG4*sQDMPDTr9ZbD>LdnWk&rfW;BjvMoU*_
zJZH*`$tuj)%*BjfzcQg*FB6`sX2PmCCS-PJ!o&NR@TM9Qu3gQ90#ggXR=fZ#jtj7I
z!ve^C`Um^U|3RelKX|VE50t+Bg{w7xVWsC^NZj}r<bVHxo`ydV==}$F&>s+9n1_G&
z=3&Nf9=__&1M`x35bc@+lkhnRH=ctRoO7VwI}2F}vmkJ27IFk;L1*|kyvh6xSC9P$
z3(4Q0JoyWFihlv?nP0%B{0n%${|6d3{)6LQ|3NnX2Ok%H!nW3*P!;qO<cxko<%*wR
z`1A*SNcaI+hkt;L@DETM{SG|2-+|@icVOD^9hT301DV=yV0!)=gyJ{oVfqHr?O!1*
z^eg-|{tB15zrxCa87NDefg{#4z$-Naqf=j?q5KPEyMKWstuK)J_cN5We1^xtpW)xG
z&w$*YA#~sqjHiDBW1COVF7pX?e)<Tnt3QI@`H!Hs=_7nw^bziLeSq}n4-j<V16&sR
z0D*6&A+=x{Zl9Tk&uY`4FgFF>_oiSVXbQF(PeB9E6l@-P56`mSgXf9&Af@;o#(zvg
zRpTT?_)UW6j!8JZY7$%r-a$a-JIJ$p2Ynmf!Kxn<aHMeps{JN_-)I6NxF%rb;5cMv
zj{}|@hxbb3aP8MyIC=LiQ1Dw2-TfB0_}&8N>oE{27y}LGF|g1agV=>P(0Bh0NX5JX
z|HE(Ki|89TH8lz|RihAiVH9NaMqz+s6cYPhgLTGh(6)aK>y%yt&+k{Ty7?7IguQ~z
z`(D8*;a8A7F#;3iBcOSH1d_Inz#@(jxYRccteL}*dSVz*Wf(rry@aB+m*5`t5_TSb
z3CiLxLHy$oh~F3jC7&VKVKf9TtA`->)gZhp90U#bL5QV6m|HRkF1;_{NBRp0Jn;e~
zRA0d3KLZeSe*kvI4S>ke0r(>`0Pnv&hc~yM!(_;FnA`Up1lK)>ZPWeWTh|YrKK&rP
zs~;}$^}~m;KCmzEgU?=l;BU|eQe1uTZ1@>O6+VN59?w92%QIN9{2BZi=!IX`dtt%3
z7gl30Y+Tw4wtY__EBh%-o_-3b{S-1-p8`j34+LfQzzWA6xTe_yx{G_@OV1N1%6J0K
z4o^T=^9hJ8egZ3=J_feT$H3wE7(}!l1F${@``&KI$m)hSr@KK#ryHV{bi=Q{M{qjl
z5qx%j1Q+QM@NqnXJ1-uBYyLw}@puS-w?2e^&WCVo<N=hFJb*&42T;B30d%f;0Ml=~
zfWNv6_W5){s!11o67GUsA3EV?LnkPObVAL+PSBI;gxBBiLvYJ|fY|%+$Lc<GDc*;i
zza0?#r~}TYb%3Ws2VB<ffcT{yP&?2LZ}Qtg@N7F+8MH&?>ULN$-UerD+Tep<8=T(T
z2D4&q5cjneHa54yyO>tUv2Fzi<yP3l)Cy~RT3}gr3oyI1z~U_}z_Y3a6i1ukKxH!o
z`!qxQo@U?_YX-Zo_n@Qs9;n6LgHoG&psaQe?k&0p7JYYNQQlp+;dvK44e!EczPqsI
z{T=wP{tmniy#vEX?!c)09hmuZ8#o@{2Gy+FVC!-la<<-v58St5%XkxH*EPZN;3md8
zZvwXUO^`6(2nyYe(3{x^elCr$Nw*PLS2x1I#4V`1c?&W_Z$X?n0}8hwW1#_Ro;E=L
z^#))$+W<P-8{m>)13daz57Kw*Aw0Go=8xCI*^Tw^cWFIDzq|<>%5OrS&rJy4cM}Yx
zZvyA+4H$oT1KKigK!xiK$kV?8`FuB^db$p}Zr8zwm^$FMt%E(9br8R-4&IE^f=*Q}
zWCqm2io>-KEME)D7iu8Aw+1xxYhc8y2BM5>z(}kHxPDf{SZ6idNw0=Hmuk4GUkwTT
z)sX(N3M%eZ!J~vK_;IodWT*=4xT>IRq7s;HRf1(yCET~E1RX|q@OlnLhw#w~=&P*&
zx6ld@vaEo|sud8iqyi2MmxF9oIj{wl!<QrFFs4)vql?So{a_i)mzRM+KpAW`D+3S3
zGN@Wq2D2|pVP|<M6#AC}r&%fZDwe|EMWqlhSORM*N}w{J1P&f4VeI)O(9Bu_K`)Ep
zKvgj)1s4O)(PCgxD~9={#qjS{5iGAO0?F_qFg#WS?wUnVyrKv`ye)){w+bO5rVu{b
z7s5d*ga<r@uw%LadhZp0-PHnMaVmf!{Q@u-DgeH3`7qL%4`o^T5PUWt9F6nAOfnz#
z&ga2_-aN1=$^$Q-JV-s12knY^Fvpq)+9SE(SDOp{;klrCJQq@Qa$y;FE(A_phh@#z
zAtm`bsJdK-{%zO6Z{2m!{*?oBk8_|cKL?U8=fK&6Ibf-n1AEwVVArc_u=mC_u!*_`
z-uBlZbJI0=$a@V~zGQ>m{cMQL%7!=RvSIU{Y$%Y;27cyjh#$;i*l`vVgk{0z<5}<q
zvLJGG7U+J;1m=!Rc#xS1>E|-x{GLp(l*<HTmP{~wnE^X$GvGjE1~}ShK-lICsNv6m
ziLdD(_AnjnbJL;jQaY?WlnyS+=`hTm4yJF@pr<Jf4kx9-v~wB+?nnbUi8L7alL}GK
zQ(<>yDhPz7!l&b@@PJaGk}nmqzotOS!xTu%OM!wbDbQq=0z+ykz_Kz0)ZQn<nU-Xz
zN>7G=XOm&SX)@HxCxZxEGDMGFg=LLbAv*CYh`3yZTBED5U+OCST}Xn;p(Hq6mjo&?
zNwDCM1kVkU;D%@tWX~r;{PRSJu1bW2h(yRakq8aCi7+UV2rRP+px&1N&J_tz8<qep
z_6cCNH31rg6F~fTJS04e2hNIkh!2YgQTuqfu{9nJh{VI+-*Hgh7Y8RQ<3KJV4t|`7
zgHF9T$Xgc&;q$R@VIUUVYGT1XIu<TD#zOSASSXf=g~tmqF#j?JRO(~EB_RfGy2QW|
z;~21(i-8u_7*H6ChU`1hAe<Hr*Um+Q(*9^@SB?hT716MKItrRPqQLWd6lnTH0rSx)
z=+lmZO5P|)_#O$qJ&|y(ED}7!BH`kRNQlsngj}&mX#W=hpI=6RXhQ^;Cq+P}djw4H
ziGWRt5s=0a0Zdcj;M5Tg<JZICxNkU2TZY303<qw(aH#ne1{VEcu(Bo$I%C2h+$jtW
z?g|6B^<lueGz_LDLg9I9C_KCt3Y}L%;qlQ>7=}>zE)WXbze7O#c?g`U4S{QMA@If}
z1lI2k0dIv6=;H{1jnl!9-5Ctr1;G#z7z~`Y!H}vO3<_ew(76x<r(XpD|Lq`nlokXb
z7lL4ySr7<l1;J<DAb9vQ5GwluA)_V`;^G1!#x)R<_5?z%QXt$~83->v1;D>Y0kEMo
z0BphoAlo4T-t7ng4Y>e_SQ-EyCjDXWeSc`q_Xn*Yf4FJq51S19p<B`)Y!~~(qH#Yc
zZuJAR>wd7x-w&SH_(77cAJ~fffewow@Q?Yzzh+<fc+D5ae0^c`m@mBB>I*-_d|?@j
zFUXAfz^)b_@XGOlaz7vVVB-VIdOmPT!Uvu%@_{3rS3o@U3e4`f0;9{Wz`(=HFcNVY
zz8hZ#e$LBa+;a(HV=uwP-b=83^(DB~e-ZHNMd&_!5u5}s!rEbP7|HO4QY&u=6Z3|1
zZ!dsH-UaYEaRJigE<nczFJLP7f*meia81<<mi{~sS8kpM)(ht$70<(_g>&$=`5e>)
zoP&UE=fHN^IoRKQ7WT!Qg=729!e!pGP(0`f6X~9yWbFwd5}q*g&I9a=J>bI`54fV@
z0pdU1p|9Q@5-+-g-4=JyU+fMloo=8I;RafJ++go&H}HPp3f1YZ@Y~uIjHO(mYRUy9
z%3UDW%>~poU7&Z~8Lr%O1_*QpRwHM4wbB{dpE*HevJ>1r>IA*wPVi&$3`mxpf#Ysx
zpi=V;aQr<Do-L>0Q}Ai<Fg^|JJg1@Tg(FyHI>I_zNBAt~2oJwFz>PWwsPuM#`mGM|
zc!>ji?>+_638&!1kyDI);S{W%JPAH!Ct=S0B>3r^WbBzI;r9I#;1YELR1TZ~CgBq>
zGG-5*MfT9_!eC8%82M)hOdWQh5@`o6`|aSikR9;9wFTc|Tlnp23zxKQVHLA2RCOK)
z>zLypa`-sBUw0guCvBjh!UodL*+9l-8z@_10}r1ZgI`yVfwJ{6I464y9?e*TQiC;Q
z`C5aBku?-?TZ8UPE10@&1(~O<z*@r!l>b@6%KMfu8*K^S4qL)+F-utf;V3B79tDd_
zM<LnpD2#C)1?@o#$jq^TRi`Z=M#BO`7R;f((;Teh%z@X!90sM#q3FvI2yQq6ZvIEW
z!T1Qc@ErmFH)e3X#0;K#n!)ldX0U&m85H#$hUHm@;o_;oFspVL{Qn&S!LCDaH~tW~
zS{?#rxkK>h`$6cxa}XLs4?_8V2G$*frs)GPP<H?pd=7y6t^;tE?*O!q?FX^){SfB0
zAD9gGga4}iz%#rLDhu|3nfpHA+`JEZm+ga`=X>Ew&R#g>v=^*(_JS?jUhwEOh1g6}
zXml`zZyQZv<04ZCda?)JrtJaalY5{|eGhD7-U9>OyTK!MH;A0r4bRkeLlV<&u<JH~
zt*Iuk{)7pvQ#S!IW)o0)Yz#(e#^8F=81giX;T?-HsP*iE$c$a^-C-BlYwdyw)?MKG
zY$vc^+X-b(JHZlng3z*^Ffm{Rjd@0p;cf&GTa6%?(+HwQc0f+a4ruY(0iU<+02$sL
zaC&?@+^*gZLcZG}aQAkY7ugP%K5he!#%+)vx($pEZv!ToZE*LeA%wLV!m)TmFt9NM
z4HZLBVKM~mCk9}gX#i)=7(fadz*7zbSo2aJ?27fF*-IbfcIZO}zdne(*Mp*)dayNE
z4<-)kL87!CnEs~=0v)>WDNz@??R23*Ll-Jpb)lwzE41Wog%QuKu-I@bX!33a&v#qk
z?u{+5CU^^+JG2GHWwyZ4-<uge;bw48*$kWxo8hL;W^m-#4C{wC!Ozl7@aWPeC^y*z
z>FYK@(hNabGeKz_LFaLT8Fd0lHiF{=2<3$ci!UJ9??iYejKBzoq314ubu7TV4M2`M
zz<xFWt`|BmRHOst-Z~7wR0q7)>45WBZE$VXhRccCkaR*DZfR@76o)oQywZYGm0EDi
zPYZYtXu)L}E%-XC3C@o+;diDcM7nB%g1#oa;MIhvsg1C^X(I?lZ-np1Ho|jtMhmkg
z8{zhl1~ivxK#z|GOz+bGP8ki@GN%p~yVapJTOHPTsDs-!br=#<2jkCb@UU48_9v>r
z`;%%AjB22=N)6t<RfW8ps^A>13i?*6AgQJboJ&-J^`#21Rj2^BzY545QUN1*6*#+~
z3}w%h;Y)!s;6-JK-=hpaC6&QuRtbi>mEdTO5=@^}0>7O~ASJ2<y+0HotV@yc{uM#c
zT@k)*Q-pqDMQHh|0Jl06;C7k<JaAEfF#`o)6;c4znGN93z5z;8H^8j(2H0b;0jdQz
zz}gvkNNkq}-ZXj0aghftLwOh!l81n=>p|!KdYDUJ5AAO2A$9wD@LIbbj{lH@Ll5NO
zV744sos|Q(U2+g3E(i6$WnucUEXd@^f|Iu_+%=U2Az4}Q{U-xo`((heL<VMjW#GzT
z8Q@ovfksvtI5jK{Vl~o?7)u%|tfe7PQyT17N`vWy6c{#1fkC_!m^etmv8_^YnO_R>
zzDUAAha~W1N`jfEBoytEghi5)aAIBp`g<k7xL5+7_)37enFM@QmVnr$5&)y(@a3jB
zltqg(av<WcZL>H?@QK6HFJkbkLkwmz#o+r{F<{y)27EGNptT^%SeK%3wL%p7gGE8a
zS`?hMMB(8oQBa;*2U*SQfIoE|q`9pF*`4d)j>I~!{IeF8_OFG;vbAtNXf15ES_`YR
z*246vweWaK1e#hzpe9WOYCS~Yj<E>zN{hhEf-vw63d8nlVektVh7Ma{SiMOY9QlM9
zd%X~Bd>{nH*M&glk`R<16oO64LhyoJ2)y44g6wTUc$FjwnJ$8G!blKwBn5%@p8(7c
z2*7le0E~qTz_^_NeAz4jiv$Hg><2$=f6NbFh5S(C#}EHm@H27-{E*DW55GR}fmH_|
zJk92VUEX}qbAS&lmHFW3GCoM0;ALEF#0&p(bl%}yes3JN_a2c|W(dhB_x*gH6NQqM
zG`<-XDlIfsT4ayxJ(J8tNQBIctgIFh(V``3sr)|I?{i)6>ptiC{PSGrJkNQ~eXeuf
zuP>=fsN&O0sN-9fQ0rDMp_Xthp}vnxQscFf)L^0{_2{@HHDo18y;>nj{bG}(mX1kK
z8}3O^-tiJtxt9d>W3vP^N0p$`StY1HFT|<+)#B9CIB{yLmpJugvpD6ZCQkig6{nI%
z#VF%@V$^KB7<KcQ80BdtMxnYGCCnj4eS9fO4b_TL50XTw`zJ-I23t|;;Yv~J1-B^m
zb5ewoZxo>{(?yu;Wg=AbHW7+%wFu=XC_+`f7pA1!gsFh*!ql%z!j!k8F!g7xFcmH#
zOexO_Q7t_})X^d#N+DQ?dhRAfr5g)T2jzt*`nMn@^Hh*xxg$t@juxcecrdk@Szf`s
z#>xEel>kLI2v7&p1*r6M0@Sk|0+hUg0ChxEfNJ{0Pc84}r-BRlsUJc7l-E9f>Wc|K
zbIjsr&QJKL++jXyQ#Btom%vBmpX8(5?D#14ReaRE03X#g%}W(_@KVuvywv3YUdr2*
zDPvyhk^(Ok^@oQl80MiKR`XDEi9D3*X&!2iJr8w#H4pVsn1?d?#7$*%b5pE0xhaoO
zZt9ggH?_x{o0?MLrcSVPQ#`M@sJuol$|{SCTDZtXl{;}!$0;t#NQR5z{>4eXe9Flj
z=Q*kT1WqdH6eksB&q+n=aZ)LwoK(>l4yxr52Q^i~K?z23P{f0SI%CB_-CN1QT#MtN
zwokKDr4QLD(L#3Wd<Z-B(Vd-g-^fnAS7WD6a<NmKZ`i1;RyN8cmyMbUV52hju~9os
z*{G!|Y}6z>8&x^UN=3D>Qpa;xDMx=+%G!;U+PHz0vQTEF?AckVeUmKI#TFJSGlzw0
z_h+Ggy0K8JO<AZDDlAkj2MZ<Dxrpsyix_OVh&u%qaZS%ZRE_+HDz^VnPvjqN>Hmut
zWB+1}{a@sg{EMzn{$NkiAKbL-4-Uxu!J{u0P%?7?d-g0~g5m-mo&1gVxxdlE{WscZ
z{6@E#Ul@Gr7uI<F!au8jq0P6SSbFy-E<5)VGpV1b{qF~MHU7Y}{y)&b{0A=b{J`g3
z-?1g~JJ#8K#|IMMapdVdvZl@Bn%(p0qd1Q}Q{Qk^!8g2i<Qpzu^$knE&Y|_)IsAQY
z4)4-)=*v2XyIQ}ZN$6KJvi^!h^efswp2agMvsmani_?m;h;P1NO3@eO^7?{T^uM6s
z&(D}&_Ze;dJ|ma;XYA(tjMpB0LjU+rcxo3@3e584N4!?>5xYG;BA5P0wEg)3^X`8@
z0sjx^yXgb63w^-&!5K72nZZ}PXD~};1`kh9<A&SQxYBzX6&cg0$~KKg9q(~h<a-R+
z_8!}0-lN#WJ3N~I4u?G6p{2n)?EC!|-J0GaN61^eWAheINWMk#;tfjYyg`=3Z}7YB
z8~pv_H3~GmMy;UN=xF^KlO<l`<j52<a;7ln@DxhxO<~%vNz`hZ#IBG@JhNpIS4&Ug
zua~dzQT{8e@Op*0YnfV{z>4+>d=xc-KX*>xs^t@S>fJcD-yX*m=f*L?WE@5L#xZT+
zCF-TU#HVgAF-+?vZk``Q>H0DJ7Bq&VwqrOXJ%-OGMscQS6!}k$q7glcC%Hzk_R$Lz
zO?iQ*U0>jvl`nAr{0Pq0k6>8H2(I2bg0E#qF#q*1dY2BP{kdVJHw>eJ;4s3|=V+Pz
z91kCPj!A~kv48OyN_Rd(kN9W!X!kQD8qct1?kSqqKgE%dr+C@^De5Xb#ZT{^U`@pn
zjJxy%&sjXdqY_NLe2nLc9%J0;$5><h7(ekpM%|}Fc=`Gej(7~ADGXr^#}LwegV>Wc
zh=<(=QCxozAO0J_h|U3YN*q9N9YAHB0hIaOj|y%5xGJ_Et#|k18O?qy`QC?LoBMD>
zR3BzL_94G|A71(P2)UXbVbaw{XyEV&$J8ES!dx%@*Vv2dS9_7up%*`?_2SfA558^e
z!S7dlP|UFhQN0Jf=DV@1xf>Uwy3xV88=Ew{(eP&%R<?HG`nWC}+1rJFI$fy$rxRx%
zc4A#pC&umX#54Mx=+4@SZjT<~(Ts=acjO`Fz(efkeu(@}I&kZa4$M8#fgC0s=q22N
zZ%5nlNO3zZ__Sk^MLQZxx8wYqHoRNehW-I<=w#o9CQ5CnKii6{8(WczYDK%<t$0$q
z6|?_5z>%&8sF?NuPab}N{qO)O-UnFrtOfN8TCnL%3p#FWK~||2ta#Im$L}^H71WHP
zJDPD$wHYVon{cGH2`3VoaBhDSimYiu;A%q8CyiK|*NA_-8*%%_M!YA*BpbhLz})Hv
z)DCUH#$64#N3#L>7V5FFs~)eU*W(tCdekKKC@fr$EaUg_&+YrjapgWr+uz5vD)-TK
zz7A8`>To2f4mA$d;T5dIxBPXubF>x*OKQ=<w-!Iz)nd4EEgH_(;B;FJ-b}8+Gly%?
zmQjOxLN&O2{2t1b-@|1A_i)vYduXYC4^RBA#@y~|oXo67t>e|`x1ky*B&*TtT@^Oh
zRH5nBD(v4=g@^R2P=K=vYoFf5(?xd?FWyDIEqC#?(p~JHuf+O}N~}$*#1_v=d}30G
z-y|wg{@oq4tG$EKk#}&!<qobkyo0ekcktgx1)eUgz#msCFknXo%4t?$!{2iB=r2dL
z+;W^gTaNdv$}x6%IeLF9!~Gp)xF@{~_Z=(4Q>JAYC0&M<A8zBD#@ncva2wqZ-NtJA
zHcE)y#`AAV@k3219*io*&u*pYXH<&vf~ELiq6EF~mY{xk3I5(wg53rsSjby~(POvp
zO2sX_9C8bToNr;W-Yu-;zJ)Jd6r)giF>Ven#u%q!oLpUu>$r<C@5N1&D!++w!8dWK
z^Gz($yNPBzH*sdP2-7Nxa7Snn%I+z`8G|Bh<txI%@j^_#TZl0cg_z)4h&e`uSSwVB
zV^amlUt56dV+t_9y#V{@0#uVIz~Je8{Mwk0?n(Lh)*~N}o8}{@Y(D19=Al(b9xi6)
zVcqFG^tZ~xZOVD5`#Tqx^yea1K`ydf&P9$LxhSTciz_*D(PrcZo-e<F<)JrlZto2w
zMmI1{_y&G`lY@@+IoO+!gO(mSIAEHCZgM&JZ|*wgbX~`-IoFZ@{B`WzdL7d=uj2`}
z>u5imjifvq^~17J&ovt<%tjlrY&<f34P%<GVN>cgTsUzJ*I8b}tIF5#^+Fb!4`pFl
zaTcltW?`;#7V50Y!bYJibb6bKY>k;%o}7tCj%T9I=1g2r%EbPK3@jVUz_eQ#7#Wm-
z;d?SL)+ht7i)LWmbUKc=q@!R)I+}W?W1ww1K2lFdWwvzm9ZAEtchYcYWE%Fnr{Ok}
zG@Ou0!!zGfQK~l;8}n1~q+cqoa!kc}gH(JVl!_VeQt)zf3LZ&M!M)xoxMxcWx@)H3
zS&kHp8%xHj>SUaXO-5OdWab!<jJb-*_;Vo%w>?S1d$*HNJv<4o?N35Q<0LGWNkZfK
zL>zsTi2g;1s2`Y!ANC|-2`1t>$wajIl7L!W2`HYIfb4z=_{T8;|E)<tKCuK`_Awsm
zj(FUc6OZwi;<0B}JPI4eqk~91md?bXV0#>%x*ms97vs=*R~)`Hh{MAoarkd07Sq~e
z(Ih7pzg&vN0*6>Uv?dny#bS}`Qw+X(7=!J(F<9vrgT>A<coSl<LNW#)%tqr_Pc*U?
zMWc35G`hM*<24eEZ)Bp;@JAG09gM<HrBV1_L=<)%j6!p>DC|^>!kzyj@#AnLhF3+R
zUVJ3JIu?m(){*F>8HsA#k@#!!Dn4$!iuW?EVxG@cOy7AGQw^?Sw&+zX`xJo>yCQJ9
zAOa<VBGB9|0{x65@PT{;iY$cV{%7IXTp5n)ap9PFEF1-G!ZBiHI7;w_<Bd0ANIwX}
zm)T($dN~Xk&SCfi!>~p=41>OhqQg)qt}PEmx#&>j^9)56t596j2t_WQP?UTVg4z#4
z(E54^di#c8{_YSQXM~`VYzQ9x6^!*ygK_EIV7w3?jBif_qoZ9gK3&C(Lc#d%Ll9o<
z3PPEpAZ!Q;LJ#*KR5lO736&tsXAeT}SAl5V6o^{a0#W>OAhPWa#NQ02WSQlK02CVz
zK+SsrxH&lhPo4?D8#@AU)Gz=QBm>a>n?F_$`lD!tKc0y7$C2ayXl3V*t-AhbF5-`U
zpRb_nqbvBQ<O*g+UcpVCSMay>6}+Q;1-%8Ypz%jP6zlQB55<1i6XAz<kNRQ0l^<Ty
z^22NaKP>v-i?!XpI8^M5^AWzN;Ngq5*1i~`?Ta0PzPS9wWo%5pjK`cWGv^zZadGSt
zj%8iK?!A|oeSHa^y}F3=ITulB|3%!bb`gu-UO>*m3wZ4C1)N@a0Z)BAkAkJ=@$Rwn
z=&5%e*L?Fq!Mi><cg6?bgAaaMIEQTY=TOb}9PV0w4%0Z!;m5YKXcKxC>n+bBEp!&U
z`_ACuxHBlV;|vZ;pTW!#Z#<XjjczX9=%nI}``(_$^F^mI+v7Ao(LIea-%g=N)hT@B
zbBgKmdkPy_PoZt=N&Fac5>u^C;tr9Ms5o>27m`lkl;a6}vFrp+P9Ddf`NvW2=y9~w
zJ&rNoj^V57V`y^m7?zqGLoKdjSl!8VdXDnK1$!^7koLlJqn>DU-4pfPJyAu=6IEwD
z(D1GY+MoA8Ut<rf<@7+#uA}H2eH0&TKZ+oG6z`88LEF3|_~pnE%vyZ}oqrrgjr)g@
z!~ZaT+;kYHgbw5M&>{SndI*=h974MlhcNo%K^(0(h~RS&bBqt7EcZdo?s3O8@$UHC
z!5zaC-O=LR0bEjg0B27hz!Am)9ArO$&pY?y$C&*nylX$MTfQGJzTJlpOZK6%_dX0~
zo?vF>+=qePZYUM+hE<MkxL?@~6=z&=rrZ@<d|a_`y(?z$xnkCU3znw3V7IFa{?K$m
z-MPJZrgkrO`|m{^tG$>hu@~h=_h3Qp9yIaXgYVYt!HmV-xVK|B>c;FwA&1@gTWL4W
z%{b%lJI*L{$r*JwI^$juXUur+gzv69q47~C%rkVtrHhW3+Tn=mv5xq_(GfjV9Z}`8
z1HP+vz?v%#m}2FCflD0l^7t+cD%ypqr*>f-*@ZJayKu$ee|S9OKkRV-54H6E!^}TB
zQNDdA7RKzv^-eqSz1mL9nB9T9>vo`4@DAkOx&yz+?Z7v0x8wWr?fC2Bc3fhy9gQWn
z<C&M+u(oI$3V3hB!zSDCvA{O8erAsYIrg~E%O2S&do1O$$Abe~Q73aNvL4=w6NX!{
zmvt+4^w{B}6g!;UZ-?x9cBuPr3m)#=f@O(Ykkf4o9$2*n2N!J7y2BQS;%)Jui!Ji#
z*ka{x8}w?oLBn_(<Z-dVciJ{M^xGPH+O2Ug-Wp%KSR=<OYt;Q?g$Ey6;jKg~{O4wc
zPOGi3?Vlym-ImyxVu@SaE%AeaB_^<0;^w~1D3G}shmUN=O4y9)+?z4#u?0ruSYX<5
z3%s+=0-p<7Am58kxT$Cp#-81T@60!$rQ{~8ncRqm<r}ficO!1G-H2c0H)8q+bKF*I
zj!VPLar!@VY+qrHx4)ZVZmSvQ#hYP;n;G`#nc*C(8LIZ1qT4l7yyazz?CVT%zmO>o
zj&4BfTN`lj!Uo)LwE@}XHsGz9_2^c+9#zBF<DA2K?9p706~9d|x6=f3QcdvIVH0dd
z6P)BTL6H$-w76-Ek>`!^rKK@aa>khRVI4}{U&qWn)}iw5by%ab4xJYX3iJ_dyGAhL
zIKkcP2{Ob9s!q`;Q%R$25REH#(zs5YM%P~qjOk=xcNzo5JQ%o-FtACOftnK(W|mW^
z5I|w!b_$JGQ26R6Vss~>MLMF8C*s&T#2Qh=>`B1*O2F7)z_eX}w^su8{WZdcM@Fc3
z-3U*eGQuWvBa~TcgqLR4;>Y`I@nG~?{N%b8FB`5!S)R4nGQ0-8Z>>QC-!=Gm>lz$T
zU4!L64Kbt35aTipG5)wAUNbesDk(!8o;E<9dIL0xF~Gom1~|0V0Co5cnDY^RWG~mp
zOM&{xu}dElwDfT`i#|RZ)WfiRJ=}O+4~1>@@RgDtHhy1?g`KN0BXc#TpID7~=Bu$*
zW;G6f(nXFIU4$fEJa<GFAFR_w83|qVdAAB**R4Xwm{s^<|0+C)tMH%DD$JVHLCb0#
zWV@<^EiO73wMGXI@ay2lac$JE)JDxPZCtrW8`m0WqYbY%dW~r@=f7Gw5Tb?RyR~qS
zz7|&UXyKBvmFQQo5`ToO#522BBAdZVOy*sQMlUsS@{T4ZhiT%@y_%@FMib}xHF0P{
z1MgR9VA)j-EOpbsD$u}AVGVryS{;S!)X^kX9WNeK#|K0mB_-AI*vtxi(zF82lUHD)
z=L$44TY*EeE70Ss8j3tr!}=^W^!8R`uA!(Qhl&~w|5nA?epSpXP{p*%s+hV%6?3#z
z@h*od4vnbbpK=w{2~)wtE-HB2NCjC$RM6qAGS=5CqgJ9a-tbUHH8W)_ms7?~-<0rO
zmlDS2D53dzCFHPI!fs6^%w$tSpJ7GZTds&(!W40{t0LN<B07mF;;HH7nAp4=n^TwL
zj}yyrjpcH@th^it7M9_vp=Fp@ybQSlm!YroGUQmZ3}c0sq2^l!>}pUz?_>pBd0YYC
zTPR?ek^=fK$m5<Nc{IHxkNQFKsI^BPb&TW@MdfkJv>bZ1$YFB29Cn?SLvC9+v{skH
zbXGZ>AC|?PcVw~Usw{%LELI!KqKS+w4$jG-SC0%z<jY`-uMD1dkU`o&26=>JaP;j`
ztZiC~IcZBV{`69ev|Wm^8cQ*YeJS1@mBuGk(zqBSje19=(bHTSE0#+$=Rs2F@K_3K
zOQldPObS!?Nuks_Da>3dg*xAsV0-TpJY2X0mjo=quH8#86qeu?i6yA`SrQi>O5)fJ
zN$k8Vi46{tSZ^qaZ6cERbVdSa+ayrpx&#_ul)%&fN#GrQ3H&1@f!5RFnBOXneA(jY
zeL);&c8cR6eR2FEB#yq*Vz{(T3~RH+@W4eel-VVQPYuK{LqrUZeh@{|4pCISA&SDj
zqR8eXivQM%BD;hrihdD6^==W|R3L)K0z@!-uL$#7EP@J4Mey*vFgElHqkM@l`iBYQ
z*8{?Mc!My`EEC4le}s_xxe#8j6hiY@A)NCR!U9VnJfJRw+MGi8cR~;!*9+p^G(o&}
zRuE&i3*uEhL5vX=#EcIDSpHA|`|<?vyT1Ucx(J{%5x@*t0eth5AJ;zN$CwI!{1(lR
zdp!AZ(2^f*HTZFeiyvL4`0z&)A0}q;A=8`_KRWPXt`Q#|Si*;^zVRZ<051-g@?zap
zUd%tji>Vg8n7D!&IhplI9;|EP!RJ{#xOkBVwVilyAM#+1G!IUH=SF<Yjj<Kn_%((b
z9glHiw+%O%X>(&cKR4P<bKztM7hcTg!sS6+*tL%fFKysLP~yVBEL`~TB`0RobK<!S
zPTYNg6D=J%(HJ?AUdoB<e{!JhQx4pJmjnG1II!>(2R^muKtX*Dv=rmOm|1ol?_+0f
zC1c0LD0cko$&N>D*l|*u9bE<4@%;xjJloBN!o_S@63&L(kFX(!B^%aivY`(j8=6eB
zqDUtzzAa?Mwoq2Qb%+(yEm$#5gB4?WSuy233l=<N!G=N>91CSZj>9adx0wYGYO-J+
z9}7Nvya=Zf7h&1XMHrS^gxqKU;Bv}8IOOmT++_d3(HDOqFyk-W+Wi+^FZ&DH6MrD!
z`X88a`vWejf8gz#1-MYK0E&kf;PJ`@NdEX6j+Fie>*K#+o&Ikyp8o|~s(!(-bH5;q
z`URtZf5OVfpAd58Cww#g30~Yk;rGKI5FhaaXxkq!FZu)OhQ32w(swxL@Ettmzr%^~
zc?iszhx`Nc@JwSKq(6QG_uJo~_2f6uTl)=4e$N5a&%vPI99%G)0|VYUSm^!={n20H
z?zXQ`B>fd`y_kiDYqK!EZx)0#X2JU77f3Dp0^d)60T=uN!~Z^mYs+W&75o{ptUiOi
z=x12+<P*G0{RAC*K0%erC#Zb?5t>Rq!i$q1ffGIg{qF<#w|szSAs>KY^8rf4KftQz
zGf<y715W#9fJbu%nm<oNc;z&>o}Y$ICey&+o(9tM9&F>@gXgaIkiP6aJbV2Pl#1Vh
z&xv<1Ve}4mEWU;3t#9FQ#9QFAe+$)1-@>W!H$d{=z!J|l@YmoCd|h}A^Ube;E9^C>
z+P#LY(y!s_%PDx0HwD_BQxI!71)P5;A?U#*NJdOTx&0(K%TB_Q$yYF1^a{#Pyn+OL
z1wm}DAh2@+Vq+)Zmcs-*QJMgOnQ_=sF%H+yj{}?OI2;oghnb<5a4O>^@E>>yw{>2E
z>yI%|Y8-<vA!E>GHwJfP#^C1UD3lhDLeuF{7$>73$TJF?`d>hF>I-<|_5v)lUqH?G
z5in{Tfd`=@;A}qv9P%Sj{bm?^ZV!Wn&oHQ&4ugo$FmOM64g%MogTm40K-N5mBP`D$
zxAPf%jDH5}_dJ6e8qYxd+f#_He+n|8Pod2IDQs7G3f%9XKwHHVh`sa#j#xYaJBcS?
z_VO{97d?h;ryqlt@ncBhe+=DEhCt~05IB1b!9AlPP~sSZ<VS-bn>GkH4-CR4y+Qc;
zcK`|>4uD6(01%e}kkcLj?qB_|_@Ey+V)|i;b3Yhr^uylyK1gorgVC#fu*#tiBGvlf
z_t!^oqTvzz2!8~j|2+bA)kiQm+Y90Ky|5*`7Zm^Ng+-NKn4ax{iTWOR9o_@q|LXy9
zwH~17y5VGFH{8A24P1`h;HusYUGrUF+|mWj(Os}*cNfg8?1I=|onYSH30w)CFzDI|
z#k!pk`|lwHbU%bEsSn}m!G~~T%|mGCcnCiRIzT_W1I~MOKp))!s|7kBbGRL(3)>;{
zOgreBw?nT)JDi(r1KsjAnDcFeX4^K%P-ug|kF9X7j;Zig2y|$L42@Q3`uPB6+aG{V
z(gQei-~n_SJ^*db2ar0{0^&DXAo*kqXl!VKHnA4)desan<<0QguNlhinju`V8IH|1
zflE^pIL9=>ewQXVx4H>ZSeu}=zY+dsH-gEDMu=YD2s2`huywKlS}PjBG@t=`w>7{%
z)dt}DUJrNL>cJza9`p{@13T2iOWt~DAHEN@H}6Buh5OKIeIH&Z+=qXk>p-iij(KFh
z4sN>D!5@P<_>Zd&8lTpJeqk+?`_ux%sul+1YvJVQ8d%;`1J7b>AbnpA99dHX<~%i^
zHGB^gitmB!rF)>f<sPh6x(7SHRfAt!HB=>6!_ULjU`AI%hHy2oys84PJ5}&LsEYZH
zSHZuPRgn7cE|~P+g}I!&aNGMXoU^zK)^c}2>vJV6X|4qR1f~vFf)rH=IzpAOW#SH8
zymJRCgYUpkhdW@da|g0m?*RMb3OG?v0Uys-z)9N*;83oBYv0RZV`n-1$|#4s$IIcO
zSvlA)EeEZSWgyX12HXi{z<H<)gy=F*5-kIh*SF!wz1wi@>TP)GavL<(+=fehw_$9o
z6f7!Ap&_^w);X0zr*0|i<tzo(;Swk=DFIji5>WoH1U_q(Kr3qr<UP3su{Uo)i0>^3
z-F^!aG;hJp#bW3lDuy40#h`t;7(BNX!##~+5MI0qUPCuwxbP-yxqK7)w%r6r&71IL
zu?V6c7XjWZg3rE1P_m;4&T18b6<ZN#J}U(Al0x7LC<G3NLJ-g`gk@ZXz<5yrZsi4#
z5K;jBy9+?dumBG77eLEIKB!mcLvmz3i0#jZL@FOt#qy#4T^_hJ<bhCP9<&|JgOCk*
zuuUcpG-q>xuOk=cGjn13bS}KN%7w4Wxxl$_1C$1Cz~;gmaKZNmRPVe2|8#DE4c84Q
z7|j8J${g^C$bqkJIdF=~0T%HbNSwY7Ynrdac*=E%KYksyT3iPi#q03lXEt>7WkX3p
zHe~u{L-K#wkgl5zMLgNiJbn$Ps;_}a%r!7ObPWPbu0hYzYq0!l7F_Jif~o6Su<d*n
z^x9{^R;?@;=g5MyqnWVuZYDg4%!G69nP6m`2`o!9VPG}`N;)$jE++%7T*!d)+cV&z
zP6mW>XF%3?Ixsz@;caX>$Q(_F9cJl}u8<BhKhnUoKMnGW(m*^Q4MLsMfM;zQ#E7JU
z@^mURw4}nmj8qUmlL}p1QsJs*D*VTh3ff~Sz+asLb1^9}btDB|nx(+xvK098D;c<l
zl3_(jGT4PALx5{CG%}KbODY+*&nCgGt|So7O9CI?B>3cz1V;^%U`{v*{HGH^t~C)F
zvJ&BlPa-Veo(N;B5+RQ-5zf3$0K3KnFi1;a+TSLClwATW(MkXX?gUu%DjqEE$Ad?5
zJfxnChd!Hl5Y~)`ot*JdFdheNb#bsiDGvHi#DTd@96Zp711rur7#)v=Gj*{blN<|e
zCu8BfZ7jgbSYY9fg}zrYP*@)WVW}~2$~y+!x5j{*P7EC6ivjO9(Qvgn8g6Aq!xNuq
z;Mo}s8}y?gNH`h>W};w4M-&9!h=LEkQQ+hp1w#-8+m}Sa%de4e;!z|B6-PpONF?mp
z9|@A{BVkA(64Dl~!jWfJ!L;%!sKs6d5wEMjZgmwF)tQltS)YsmwZ;fA&4^&OO$4Ov
zjDSId2#^qq0O!x)P}&_1d`02l5gZQB_l1M?`f%u677n(5!(enc3{F*tfp}sV)Se83
zBX(h+vMLN-3xq-GbSU_Bgo0yUC@{fNpy3({^2VXCR3Q`;{)E8F;SeyX4uL(1ArN>f
z1nz7Nff?Np&=d}V6CZ=2xhoiCi-O@oNHDxU5DYubf}vkI80^`Cne7_{#~OlwKQjnQ
zE(C#tV-N^o5OhihLFA7>aC{O7x|M+-7#|2<PXxkCyFhrX8wi8Kf$;oO0KDx9fWO57
zAR7??>yHG$@y!8HpuxP(6978z{NZA|KMdvhgMN@dr0w?yelvgYSMdjS4u1%ryaKW<
zSD@nh6|lc@1r}Vcz)h1Y;HG#5lv%I9%(x%aHu^!_H9t7%>j#c|{lL=L4>l}kiiKGo
z_XUSWUpRiv7ovTAp=z%$yfO9#c|~7vV)X^Hmdo(U|1w0GUS>W^mqEJi5_}7~1mhbo
z!3fVKc=PZgu!LU(O)KWESiy^MtM>wMMPC3<y9@9}>;iZUod=G@^H8+&JnUV19#lts
z;8(g2jPCY<zU4kJ`05<IzHtt?+|R*UjdO5j<}9?`It!}D&O)5tSrC~&1L;*~z{uwe
zOft?u#-cYIX!ZsY=nblyyg`oN8<cua!`hhB;JEEHL`t28zTs1#n0X5PTu#9kl~dsP
z?j$VSJPAo&Ct<z*N%-^q1hm$ifQ(BgAYlCo@ZmZEmphL`Y~*ofzaNL!OO7+|^BA1U
zItBx7$AG9GgL@ymU_+S~yg2Oz{^$j;=n4N?JfT0t6Dq7d;f9ze<UI9&vUCsVb@6~-
zY965f;V7IhI|>8dM`11FDBNT{3fk>Qpg!UVIBz`y{L)9Dee^KI<{XA2hYo}Ns>5J0
ze+aB=55Zo)L*TdZ5Zo3#1fK>E0;V2>_`L_=ui8O4_0b)ERk%Zhk2~m?xWgE?JEZp>
zfP)DKV7=1;SgCvfl&1H?in9HHXZM5Sy8RHwwIAAh_JLT!J~-mE4+fO?!NwUk=qz^w
zM;|x%ZQ=&`yl&vy?+PnZT!GES72c}5!tfUt7^!xFX<rxMws3*fqAqag`Ccf^-V5x9
z_riX?z3}+=9@yHl2S&s9fcLgNATPfM`d{ycxRTxAc4jvi8}Ejdyt_eVz!@~toPq3f
zhCSNO5c%B+x*D87GSmq?wmQLptP_~Mc7)avN3cKZ2%k(GnR8c1uzu_SqFD~`>YxKO
z={dlyKf55WZ5P~%-UUq#yI@jf7l?iS4{YxJ2g&~b!Ds9Lz+U=4c<^c`Y`C=(9-Y|<
z2iNZeA;F!{{B#HSU*7?C9y>tGXa`8J?*P8u?I4)49pv|I2VAus_Wj-lX|3DfW%M@C
zb=n4zE4IO}ul8`f-X6Y(+C#{8dsv}p4}%}JLPYge*cz}ERJUvePPwh{^{pLzsIY^%
z%XYwRWe4igcCce=3q;@E0#7e&ft40pAVP8r{GPCdQzf>r;A0C>8*M>X!j?IX*g(=P
z8`$k*19}^6Kup307RRmO*DY&U^sxr9P1dkl(i)s!SwUi{6^vZ40`1LK5H4i}-={3W
zqudf^FI$42wIwLXT0;A~&2aJVW>^=n8HBcOhWE=hL;pt$Xsxw?wonTg+-U(HR4qX4
z+a@q=-UL^oH$l(tO`xK^34#|k!jFd=;bihgSU9i|q6{~JF2_a~9WaN)Y;$ltW)9lx
z%z<CX9Ohq`!OTrF_~>H>3l?S|xzr38?@Ym~$`ne1OySpdQ`n+v3KicrfYO5vkP){5
zRNOW|mEH!}!L|Wd2i8M%_Ifyfd_8P7Sr4kB>p@_`1Qu_bz&~FT;I%V>Wr`+XGHVQ8
zO~z0dV+@~NjKM_D7_!)mfoE_XT+CSq|4y!haMN|5EV&NaUlTZUmw<jSf!{j`^r#ak
z{zXG#Ck+v4G(;YyA&sWtjt~vcUowEVi~(j>7!YC4fR`!^Am1q{Xs19Sg@UZZ6lgIh
zcpyl@!Iub9We5XT5R$hc99Bcv_!EGcihxQwfU+lmjxm6#7{GxkBZ#|e1YIFUAna%a
zyS0s=dT}i%46KEy8*738%vy-GSPQChYoX=S8aUdt2A0RKf$;-t;3ljAKY=yi`qB_=
z$_>Fh&=4&CGlZQh4dK{71BmZ8fR-Bu@b`=XY_Me36%63ZtUl~))rW`4`e1%kA9~m6
zgNwL6EWXi$f*L(=iqr#HS3P)bs0TH?dXPH08Uo8!!}-9~aADVK2-aQ=8LX?J{;@7h
z7wUrIC0%gastdQ(bb)(e6&!lB3ZCSw0-Lj|px<g0>{eU_-{*B8rBeqsX6eA<NgZh3
zqyy3NI&kQ#HdwW51Ey<({&8(sW3CORvfAMMMGJgewV)(b3*LBXfrgnDoRQIjN1s=M
zUh7K8N?i$3$5uj$*-B88T?zNUXu_U0O%O=egqGu)5U^1bw#aLO+MEV(Kh%J)nHuo!
z6jPfuU~ahv@cdAR6+P-;m!l4W=hUIaRviS?)M3w`6;L;@0#piDK;q>UAhu%#q-d=G
zP4*Sg`dkeT-&O;eU^N(WR)b^%H8{Yp2J2p_g3>)z5RO)5exFo<o2Y`Aq$;R?P=QS?
zDsUoI1@exoz|<xc&|0nnmwqV2aIZ2L=P5(kMP<<1&Wu{jI)^emA5nq}6-uBHt_0(*
zN|238a8yhQOr{lKd9xz$rYge1aYguHp$LB!6+!U#a#%6294w2L!?`QVq0C`9%;_x$
z!oM8iCYQn2+GXGvzYKbhE(1%mWza9b3|zh|z(TJAWaTS>m9GM@?^1vVs}&%MPXXK}
z<-w#*9yAi<LB>-aBsVhSa(PhyB?ra>a^QMX4z32sL9??Qu&$K@3lTX;doK&$n`OZ<
zT^2e|%ffnFS$Lo>3$|>sFf}3rS1M&dGfD<V4$45{dKqw#lL7VbOJVWRQW!5>3Z4E-
zq275Z)UI6$O`=Poe?}UnTcttpnlylqG&5I{hFdz)FwY|m=95y8eP0SVlcnIq2`Of7
zA_a$5NWoWDDF}SA1Qe^5KwHcbICXRhXl+~q9~GBC)gMU+dnyU;<&t21RT3BnCBa~W
zBp514!n$7)U_T@Q$4Vt2F-!tl_e;QEV+kN~5)kr397YDj!Kg$WGDF2daKAVN8jAy$
zoH#`P5Ci2wF=!|egMDFQAa+0u9-4?jsJs|#{Ur)2k42f|k|<0@h(g~%QD`$2h1TVw
z(DO$G#-545k2@l;G)4qWJw)KFg$PutiogP^2y7k`hU+!Lz?LKoM@|aEsI4&krzH$8
zc!c5LYa#gCBm`-hLa_e45X|lrf<gl!I4mjz2A>3ht4k0j@&%zaKoH7Z1R<XYLawYJ
z6#o=}+Q$MgSS|qHq69$RLjY_y3qaTk0qEfnfTgea!J~m6I@9?<*M}c6ck+XzAwR^6
z@q^qKJ}B<t1GAfa@Fs*0q7U%FdQ(2;v&RRGi@Xpq$_smId4W#h1*J2*AhMkoxb%5}
zQ<N73KJ$QV4-e?y<N^Co9=PDn1Gmh0;Egg5sI&1f*DtxDwVoT6XK;i6d2aZ;iyPdG
zxZ&jzW}N4OFN0hVSk47XF<j8$#Rc9rT)@KoIkO!%Y<+NSjf55V+FpxeYpX+R*9J{-
z8Qnj!)~Iirml3aZlF^6M8l!bF6Gq8PxZtOuJnT|k1KTIJK(MC=w7v?2OLGbT&wmG-
zszK;d7u3tW1jCFuaJ|fd&ew!-&1zXpT)hI-vh^|QvN2xhw#KAjM-01t2p7%IqFt^(
zMmjV1tyslj&apIH(UpUqj>TxBScw^O^|;!)9Vg2B(BFC(KgmtuujQZ6XV*_uVeWIz
zsNkZ+6$Gdg*F~v3V<{@_ryRxTWS&>3RHyW6bg13W45&B46jiy`gsSe`NR3$AP<+$d
zsMT4H6vM-nlHPWRDziUE%^f*Ib){dT#OJP1KXZa8K9?}cSTmC8!w^HwjVDk}y(v_4
zdj=)flTEpd<x;^5g;an_31z#hoO+pZm(qMwL#-eURCjg@B_i5EO^0_=c4GY$b>lIW
zWim{injWKWXHHU^cfX@h<0JFT$}BZM{+%l6S)jUISs2@=nEoM0I2j^8xfu|~$Cy$S
zWC%7ey<J?y7_GdL49hB}m(5`rMv{^|!+v}j!!t*TF?mFlQ3C3WPJxvSgV)-OH_f_?
z(Oi9oMC2Mq@Ofb9c`_Ix2i7s<-PSX<?>A#q9Nok)IA_Ti46|WGWZN+u?r&q@*iOa@
z4o8Oks@)9fJuVE1_<an)UU$Z#z!Ao4rbk^}%5kPg-zlco&soO3nDY$vPnQ@qEBqMU
z!&exaq5~LOn}QhLY#|Jl2BtsarEtcLbypcD*rOQf52G2&V`CYAoZ=Zenu&}%zmgac
zT`7z^Sxi4o?+nH#n=HnHMmEEaJBRV{%?(CxM;_yAG1JF1u86U4zL@diKndfg{cVQz
zhH}PpgFB2g^}CE{g=$9Ck{X7PXdNR?u%2Nm(8yRO*vwF3`t4dtwlUJ=Iv9d#os4U%
zyBS;8^)eJ~`xpW)0}RpALkykpCk&UIXN-dT!wk0J7YvV|V~n@b6AVvklEJd~H6uOf
zEyK9<J!AU$3?rF~>341Tg|V>zE2B918^fXJJA;Gc7o&i&z%V`Ym+`b>k+JF*3w?Ac
z8-1PWTi)lyLC;_2q(yFU(aRrl)2g3&X!#{f?{>n^WCRM(714t9@me8z*;`?{R$P=e
zGZCZfyu|5cSrW9zBS|`sMT+jwlcopvFQwa3Waw+Xva}0_Jk3KX&~Yc0(QG%D)7z&M
z=`aOlI(wH2ot&Ubdkv`3Y9i`%t&Ik)6RAmG>Rm|}32W13b~<!y{3_b|nJzsc$7D^o
z>eDd=2K3F(hIHE6we((JBl`D4pxq@XI)4v?zIT(RGky}<&fJ)O9B)FaPpzjn8<^4%
zXhzRJF{dwTY@+)wSkRyQHq%d4t>}>R)->CI4ZT5Q3vKCVN6QRvrAzd;(cF>SX_fao
zXb!Xg==|(mw7{YRt>^4SFRgQ?8)Wy;Di`+Bn?_w|jdgBxdp47i!+C%<I^<6C_8z3;
z^$*j}Q;yJ2SUl*6gP!!SJ}+7xkJCSLPS8O@r|8aer|IU`-n7TovvgO(IeJ9<Je{6?
zfff|FMC)9*Okei)rPr<Uqj$XXqg%4C(7}%W^fk!<TDUKO9t;blKbQs44y?hn-2Gr$
z?_3C-ZWv1M`pV>3m4?whN5g4<%?LXDT?9Rqca@IXA4!L+MA6SCqv+E)(X^{u44tJM
zOKVNV(mc6wwEls3CRZncKK(v{4!@a5fA&bCuQ6F>nRChX`@1Q$uTLuNM$+h5CQD7Q
zJ)Is5&!DH6TsGq+OorP?7X2jq8ZB}#n~u}DPVbq&PM@mFp$GhL&}S`k=>y_<blONB
zEqx=OesQ#bers4r8!Z;nk2;Fz;@F$?Bd20|?TTCU)a)(#NnHso5K>A9+ux?mmzB|*
zX3FTus&ZN?pn`t2<qrKtzLGYcsiX(0@6vfpK4I;)YFbqJ9$hedkG|YkLnkqrh@W@Y
z(Lp-*Y3G0U>65+nbVp_b?c~)+>lioDM6{WXc-2fx-)W&I0v|AW3azxJW*c4jr;XnC
zsGWAa-a$v6en|h>)Jf;bb<yEpy6B<@-84r^51s7MOCMPOi1v``qf0*Y(dy0p^hnYG
z-R3b!zuz!Ko5?(;pM7~u=d?eeb2FdPV@x)vjrDVSUS*gb_%lqu9vY!_ZoQyy1&-1#
zyT|CwYhTg_MaJox_e{oV%LM%={S`gqJxL4NP0?;EU(+9$tkr_?H*{j{Te>Ro9nE**
zJso8|O`B`X&^nwS=#3K}=$QK-X@S&Fbd~pKI?nzJouxZVj|hIH&1b&S6CHE(&Ae~)
zjevQ&%k?|0X!3*3UG|gS`R^yacJvo*TKAj2l(s;>_W47fbNEXm{-amOEYilm7wHWi
zEabu{3+c3GB|7!2BwvS(tjS^{!@}$&&X=9I%(4?xR}R7$<RBKNoa9I)lUc0BMLr~P
z5ldcfQt!h}%sz0Fac3S9^@xXTHQ^;16}&`Tm5+!f@ew6nCb#)KKe_agpFG?nz+_<y
zkR($<B2y(uZfgjU|I&qsxUeu8_Y)=!--Jn-y9lWq7Gd6xD4A^(C7K3Ij&;5m>6Z~F
z>mtQTJ*xz<IW0jxzmp)@PLgC_pCmCdT|(rmmk=>6DI$GMis(p4lkFkWB;t=W89cU>
zXue)bVs<eZ;Jq>=YP~E`tCA(%E9J<QYjR|xq&$%glPCZF$&=ZW3S{n`0%701j3^B*
zBU?5tCs*$;C(ra0iC%#sNtIV3B5_J2o=2IixTH)v=9sMYLrezyOBM2Gn<^RVR3-O}
z)kyJOrnFX&drSuWptL$!h*T%KoEqf#c@5Gqt3hNAYLY8sn&kVomE=s<O2V;Ti)2)5
zkqxV~$$YLhsgTnl7vpq@J>M!~;J1n>{#-?5ymX1e8(pH~yqZ`HttMWUdL+A9kBosn
zQ7h9Y=hO|z(<}qBPRfv!M;a1ct~I3k;u>N(zlOX!x|T#uttBQ-M&$3H5oxgm64wI6
zgF>>U0tvm6A_h53$ubCuV-P!jnt1xtgo$M)Ehh<Cm?4C*ZygDGv5q|7W=srwj7f@_
z3E`?YAs5!HC%;S96W<jZi14)yBv0Cun8lcq54>h1?TQ)Mx?n~`PnnZvAIwSq{*C0~
z*hb>Ga}zP{+eEZ2EQn&W1@q+NX0q(gW}=~ONiffnY+YtWjwf4@L{V$f9A-`C*=>l<
zMH}Mz-G)?p*%G$*wq(2O7E(I0g$QrABd2@q$i&92#J*`O=|X#AamSu?Yi}dl^S6<y
z<=e^G)a^t}Vh1U^x`XWC-bq;ec9K$Ng70?fKO*<(KQipTi)2jfBKsX3h~8rd!eQ%3
zhC3Wd<$5QQQ0GL>t#Kx<x1EWt=5AtqV>dBW*h5w&?;+Y^d&#PZy~L2qg%DpCV)@&J
zIGu7O$3MA}(1UIy_mvxIb=pVXJ=sTu?Di9*uKi@c*#VN!aDa4xJNZ}PPS)xiBqs|F
zl5(X(<Xie70#b*GU(8|B#ealI2OS~qEJw*bpQA)@{wQ(t@*s8ZJ&4pkPjYI^lMMdn
zMGOYLNRst2@~8b6aa(_!bk`jxYuBD2Ib|n^sMbm1n|G4TE<Z)w(oT`5lBbDP^l8$}
z=S?usn^Y`%6K$U}q~O~bqT+RyWWPU4mhC%7GRMvl`CUFFW6*~v*qkR>9p{PSh6^O;
z{sp3DbdeO6UnJVvmq=OuC1R*_ncPdiOtScW$;2jKq8#K)_P6+wd=@|Qp7tXv&-)RN
zYClps??=AqT_LNFT_GoKT_F|ISIFE7f1<zNpPanzPs(5VlUca{qU#VqJd*-Q@lXJH
zFB(YHYy*jFL?Fq07)YLT1rc%6AY$zoM1tyrNc}<(`EC?Uw7r9gTSYKQ{u0dW_YlHz
zB!uV}gpmEOLr9`hC~4ahO6Jo;iSlqL*&-E2E^G@U`7vRnzc-Bh<_{-I7U5)5P&n~u
z2`4cu5#$aXK_2@=kol?zA~7F9^z^P08?US6Q1MlA<^5HXsuoGg+#*TawMa5N8c9CL
zM3KKcqliF46p<N-B5K0XMAs^sKxi~EZi^;n>@mc`IEGkWWU7W){t-jW4PuGO@mPW-
zv1Ij3EKyUBBTM(k5x(nj<kwgnc_SN7`u~e3H3{(~dmx?!2`7+4RtaQtXadn_OCVhA
ziDY73BB{BMNTTm0l6~J3$r}A6!gVZ(3>GJm%=byeT`ietyCsv^tYlL0BAJ|6nnG6X
zNFncIQ%Lrs6tY7gmGD}ml6!%v#JxF{h%Kg)S}KjWoJ}Jfm1!h*HjQl1Nhf26)5)3q
zbRsyFPOdG_Agi4-NJB~n+59Af42Wftowk|ed3Yw-)sab_aAc7!CRwEYViuulvPkjw
zEFz<SjRbmKBOh;GBU|5HBX?A?iMUHP@yf_19nZ6g!jkLc*w*W$A@Vxm@48O5ap#cK
z4LRh+<s2egmqT{`%puVRH%RNT8{|jv4Wjn`2C-AkCFfjnNoGbaX?UJXMkVve54$`f
z6q!d9JM+kDu6#nT&nM=W@|kU(PprQ)qh0|q_becEQ326?Q$Ut06%v8nh2&dGA$k6|
zkkp74G2f*kay+z%Y-}weOIdG{w~U*l?Cec)_RdX0eYr_~uPi2&?#1M2PBB^bvY7PB
z+#=_8+#-sxw@7QxEwZ1tgs_^GkQCn%qFq-)?*Awu7W$>6&$E=+7nPEM*QLZ-@iuwj
zbepVAzD@E5Zxd1BGIC~f8F?O9M%Ff!k(fVa<n7vWVsx^c1eTPO-uLB1Otpe+-CIE-
z(<(^YlM3=n^bS$CzC*T#+#zRM?vT`fcSsdflD<=wWU921e4DN$i>h}Cm&;wklg^A!
z?~+B)D)P;$icAGpk-p|CQuVirq!?9`GbgLbmXd0s`o5aXE8ioHyYG?UlzYtY%ss*-
zTtgZxYRJie8lu!tL%M&}kP`;AMBJ;Elor+!^Ql_$Oree(*i}b9$JLROy>;X(&wX-q
z!+kPw@jkJuzEA4D-X}`h^(4T(o=jxd6L?WiB9=6e;VlhBIlO_mw>FTx#Rf7CjYRTP
zBQY&$B%bdYNt{v>sc>o{y@^d^s;`O6^EETuwwdr;ZYI3<nhEDzGx?*{LOva6AtTpX
zNb_(Dxgqg@_}M%lyFwn2mCX;x&xHr1(Xf^Hd$khd!dCM0RV%qE*GB%^(MDLJ+epsC
zHe$@)PM$H^$zkty@}sn!Tz=n9Sd}}-C8rKDpU^?vA9avHo`(e2KO|}AACez;9un(M
z4@u^VPV#<lCs~!+NxTL-Ns&Mod1=-~gfDjysO}=pvt8tZW;aQ2>n4Ti-K6SqH)#;+
zA<Y|mNP}+=xqGjN6nyO=@hf|Y&%R#bn9)ntJn1F;!jH)C#z*9a?;~>X-Xo&+^${7<
z>?1L5eT1a<k=H|gBuKEID4O?^s!RQ3V^u%t|J+Zus}GRDy#vHDWq{o8A0V21gCu7C
zAo=PuNUSRc$@Q5*GOIj9&}oQVj2|L3-9u!S<1ta99~0}-kD250V-oZFF)5ONLhf&W
zLOQQLA^ojS$iUwxq{r|nY4&(Z%5tBQ)X}HpqU1B;VEv4&4tz#f?>{45-=2{ut>?sg
z-*dv5{+v_|J|}Mc!-RLkFe&gECMM;>Wa#}caZwy0@BSMh2ct*GtM(DHV{wE$So4Bt
zdA=Z5b6=2mFJ2H@Vw6N!j*_7(qhv|VDA_tYN`lqL$lX0-<YnR*VeK6w@|-V;KI0|X
zaPlRwDtbw5Cteau>2YFWJ5E*yjT4#s<K*w$I2qQQAh%s6h;Q-)v3N8=1h`(2hm2R`
z^2t|ZRnaT*Z2T2DFEvS|Y$nOAfJwrrog}TZlVp?n6nU_F>VFKKWmpt#7l7?TENl@2
zL{tz11Hru&5Jf^7>24O-PP<!QySuyn?C$RF?(X=`kNeu$c}_oPhRH?IW$I(a%2SUO
zHA+2EXgfcV?f8kJ*-}})^+d6|`cuW9o=+8>`#)6_Y<a4f_429WK;vhMhtbazzsEjP
zR6F!c(eTGJg`@j(g=6M(h5hX3imDf$D}I%Gp}6n;La|T%LNR^C3q{V|7mD^ZUn;%@
zyi{x*@KRB*^`*l8)l0?E#;+8)(XSL`$G%d`I`B%-;@d05M%UMhc4@B_Yp1_fG&%EH
zF}~Cr#g|TR6j91Iigk<LC`w#^qX@EnEA#$VanA5oQEu&9MW=^v6{&UJDTW5UQ!E(t
zPO)v<JH?S#?-XYmzgL`%dapP>`n_WJzW0iipWiDcwD_PXO!}bkpZq~l=lBQ3!`~ki
z%i4Zaq-T9p)SLZLas1pzMRA!=iW;7u6l;~A6x|nnQk=c|NfBxDS#gQaia_mW#qJfK
z70vH_R*b3sMe)4H7lp$7MKNyO7sZu_Ulg_Ld{u-7epL(^@Kv#X^H;^?XI~W`8+=n#
z3jL;NF!Y<E*^X}tm)GAEPL01S>P3E6lppzB@pjjD#o2e?70VreC`>Uw6n<lVC@Spx
zp*ZsKhr;6gQ_(W+r{dzcp9;-^pK_e^Q?bD1m%=sSmty0DUkdj_zZA>9{!-L#`CBm{
z@wei^#NP_<!@m_1zx`I+Y57OtnDj@HHtCOI=HWkz6W{(QKDPX;sG0Ov;XdiF!uRlB
zMd-J`is+XA6j6!)6u}e!DHMnPDO|q(Qw*zFf=_NGNbFgH!zm?bZZ5%y$t8HSrUYI`
zOEB?X2_AeefqRXTm|B%&zh6m8CzZs<P?G)=OR{ZcNnRZ+iT&-8^!`#3ZIx2YYF>&x
z-AZvgwiMshrKmQx6wQ{FqT}9D_+BeT@cU9kR4h$&)6ztFl_oT@G`*Ci@g80pxA~>1
zzoRr|E|liwi_)AfRfg3K$}rrc3`xOdXqQ!nQUl6xZh9GJY$!wGi83^LScW@4<-1*3
z`nZ;*RFAT3N-Rr~zAWV@lx5BGvIOrh%d6{U8TO$p_La)9zG*oWUgbC$QI7C}a$Fr+
zj+nXSxV*I-A!o~R_-Q#h{wv4QI_0U>raXpT<++to9xqdQrcWx*`<3PCaZr|TmgmXG
z^0?bnK<`+A|9Ms5dqf313Mx=Av;qs}RN%sv3j94?0hcEg2>DZi;#w7%;8u}UJt}e_
zu_9M=6?rnQA|IAk<maA>{JT<-5^pQ=w`?W8H>||l4wZNiT#56UmDts<5{su+V#L}?
z<Q%C)k2{rc_)>|_m2EicWWyA18<Hb!a4xXn#Sj}-&bA?QvkeVT*>Lfp4MTp~(56OZ
zZnmh*!0wf48e5qI#g$1IS(#7sD>GtyW$K)(%;Kk&as6AFjkRoP=Vr?WKU-QR*s?%l
zi`^Jo1~0PZ&HrqPx?s!yp4(EdL>2UPs&KA#6`cHKIk5_dwN<DxwhB>;t1x3{6|P;V
zg58TM1eU1EfI3y#(7GyjdQ_!cVpUwVRS6kWm4Zc88S%fW%sXF|jnAsG|8G@J*Q&;4
z*J@n%t;UVGYFt%S<J`z<9GPE@?c1uc^h`A-KCXu0S2f~lRHsXe>eTL5oww1|Ii#%4
zl%ds0on4()o2v8Scy%`4tB(3>b=+)g@Yt~iGrH8ES6B@`XV+kE{~GvAt-+(!H5hcT
z1`Tf1VB@<Q_?5HclD!>C?d^CPU`Jkx9WV8EWRJ7s{$e|#cG_|Dyd56T?3nk*jxsfC
zlHIZ<N4wReNlZ;l%9@-RQj><WYLd61CYz7e<ooTKboo>hW5rr*YE+9C9cp18RExm0
zS{RJAm_NQ2hnCdh@y=S5yikk!&uY=;Pc3}xY7^R`Hu2OZEvhz|`NE*uq)x9*?AqFd
z9I6dBYUBE@Hnq#v;dlKy+-*~bJ^po=kx+*sbsc<1*1>LG9qw(e!-^AiP~NLU>o0Y9
zU8ye18rLPEV_m8S)n#vLUGfZdsWGlD+ZNR&W=CB<pQ+2ZM|E-hQJ1Y%>f!5DkF%cj
zi0V_1>lyXvYp%!T3H1nCT8{%e>(TCfJ?1~DN5x<DD5_SU3(e}&#;ZPKLhJJ=vp$_H
z^%*g-K9`r)r{S*pq@AzNk|*_f__IFt)fy1dtO3KjG+=9=20X}UKt*!{T2E*|pCt__
z_@9iOZNQvI4OsWR0efuiIo{Ns^PTLu93-ULb3t#<$uaiqTVT(|t@g}6Y0s#8_7s1%
zm;F#f+B-C)YWs#f>)DXq2@M&iYDnDhhB(b`$jkK&S$nu41veVf{B1+-m2zNm9S8he
z9r)1Afmu-wbjx$#VSfh(PIjQd3I{grcEJCF16Q9okoMDoS5+EO?AVBpo#Zp95ie63
zk*aIN<x!3Bo7ad9n;KE~SR?w~YQ)`ljqonhm}zwz^V+pBbZ^Y~sK(sPZA{btjmi42
zG0T@VmY!&g!@0&pK5EQ}Z;jbz(}V|&no!ZB32wcb5R%Y@{Ng4I9omFhGn%kwO%rzQ
zZ^F^bO*s3!2^W70)tYk7sVT=hH)U^7Q#PbDWxlp4qenJHHK!?28=BJLa8qhrZ_2Az
zO*!zdDU<CSNo($io0lV>Lmb(W=7>@6NQcpmyq)XFl8uf;A91AY4M#S-b|j{R6Tj@7
znBClo&R$Mj2yr4i&50j6Cq|BP!fvjNZE&K|VJGHabHe_W6I1^>VN;_S{hBr7b?0Wp
z1T|w{ax)w?%@{ho84qSQ!)t9bChc#=<4etG|Ew7Uem3KntuvLII1}vQ%;=uZ9FBA5
zr_vd>LCz#hac1OlXEy9~=E@mozTS7H=4WSGmv2sw`pxO<)|{Mf&Cy0Qr(afc2Ai5Q
zbgX>Nm+zZo{Sg_zE^@C#{%><yS9hVNlM7!vx^N}Hg^dX=j4E;=X|N0KQ(gG8+=XL1
zT^N7Hg|PcBRR83{nX)YyUbh8aty=I#uE5U@ZGnHfEbCe@X=Dr9&2GWDwJpfq--3S^
zTkzkL7Bu<Zg0+=e(xG8XcDlF3%cmv(i)@KUc1u>9TGD82OD4=~$?pv<$vo7OQ&(Ez
z_Pixyf41a#<yLfS)QYKXTk+Jl6&}&8=%3SyBj#3A9M_6~`K=hfu@(Ccwc^W_Ry2R!
zis+xM7+l$vRSvG4Yvam$A6KeGx#E)T3MN+~#<-F`*OlV+u9yzEGT@RcgP*uE=$kA3
zD!QR-;6|RC8wt44JIsv^>2BET+$b@^jR!N_*t^P&8N1ymI_rkdeK%@+bmMO6)-12p
z8fEj=xO=wdZSU5sN@z`5VQcCPY|ZgWt<f)TO_Qy%e6%$M*IQ%zQe=L$#?RKBTMq6N
zwsGfgcXvidxMP>;&P=^K4Mw^%Yo<H3SGzNQw>zcJx}&@2&ZGD4gp_K-HoG>|Z`KA&
z$2Q#P*@pJ9Z5W-`hP#$Fv>qqx=e6O;`Zm}cXhX=wHjIDNhLfM$P`X@OJnOV2-=!_H
zJlk@#cU#`Yx22}CEgk!}C2B%jiWjtH<i@tlJ=m6Ym)f%Xaa)dkY0J5C?YLB@9hY6&
zanZ9Kr+c^KP<%VK7qnwVzjjO=-;M$E+mW@Q9RUa0(c)q|$~|hw{ZH-KR;E3pYPBcU
zxjoG~wdZZm_H60f9z$+>I-1+_addlD&u&lZn)cZ3Y0tqk?J2z5o;vT^v-@9rlB#*|
zr?Ce!+j`K}$AhEc9`sH3;F-n)^-vFfPVr#CQV&XQ^I+gn4}M+sK=aIl=ifYttI&bt
zbvw|$MF(bkcA!M>4y46(V1Hf*8dy4@86)GfJ5X;;2eNl}VAJUi{Jh-(-gIE#pAPJ`
z?Z}UY9ckOTBUy@$Ob_YEk))2iFYHL&0UhZ&p(DxjJJN4`M`rBn$cA$=ey=0f-gV^3
zKas22iSLa%@yERr|LDZuKArfH+=&lGop?H+6W1qn;@JF7Y+m1qIr};>=v*h#?{&iG
zT_+s=b>dr<&YW@R%>34!DO7Z(OGsxqj_u3|WoO3r>rBwN&QzG&nFDJ&W7yr9mZv*&
z^Hyg@yy{HbU!A#L$rDR`Pa3rJWQV6G;Q^k!=<7+p98ankJ()AYljhSsS+~rScH2DJ
ze8iKsS3Fts*b}GEp3E%W1sl6An45OtY1=OJ>E4Acp<Sq*(gj^n7cTVgg8T#p1Lt<(
zlKe!A<L)jLpX$QSn_VdRvI{+abYXY}FAml5;*YZz@)M8b^zdS4q!-81z4)m1qW)kn
znB+yO{7m-1^<K=`>&4bHUYxq^#obq4y#49LuZrH3t>;Z;7jLR{68ycfjq*nRofv=B
z-h3S7&7+ClT$u08?seWQ+2hTq)86FY@}~DoZ=8R4^RIkYuGH?zie_CgdUU0SZ&#{@
zcjanIS7sG;CBA=G>W%Bl<=I^syQ(YQ|JRjI$GWoUYF9#@bmiNpuFNf^pj&kX_Zunb
z*IF+3cU7=1P=QaJf=f9H(hLgT4pU&5qTtUW1p_xKD6wB;&nozKTS4I~1rL8HkV9<_
z$l;D_GnmpIesqWUP}rFSwUtn0fg_`!-VDfF20OMu=|d2B0XesUi*KO%ZwRi`P4>;*
z*zMencOKnn<lBwlux=QWyRksojU$$BJR8-Gax=QobXhmNwsa%xU^g<(cSCo#8$(`q
zWBku<OsmkH*|obf*Qq;m+I43}x9&^|>CVW6?pX7>qcnCWet38Mr*x<FqVCvj=+2it
z-MMnAJDYBFXY8}?q<`s7r_w%DsP4m62Ok!>`jFqnhqk?Z_#EZKmUJIfDj!-6@Zr%|
zA7;$*q4x?Oer)w&=^-CNF8J`}t`9R``_Sd557*24qN(MJjiWCM+xX(4@a1rzFJZC1
z+{*GLUF*y9LB8Zo@a4rEUouzua&Nn@{2lk@<V9b+?)$RxjW4x+`O?3FACGJK(bLh7
z<!$^ZtMDTw(2pH`{jklFWsM&j2Kw=5oXE`fWBdv~E^YOr)*(M4&-*d)jvpsq`cd+`
zA05i}Age|XrZ(!q0oNY9^z1>ko;~o0>_Jp&4>W~67;ovp@{v8*Gqnfj7xm!&`X0R9
z-Gd(|dQkFO56V66LB$WkUs<;Cr$k+UzB~Ezrma8s6#kqG^k;Wpf0kwXGfwS~dVoKX
zWBqAA)1PX~{CT;_p9A~+nReQroE!dhdg@Q<PyU?w=g*YNJ?UGoC-t3sa-&^OrqYu>
zK|LuK+moG{Jt<K4q``om92?UU)r_9hUD}h~8+($pw<mv2_GIR@p0t15laudd-JhPk
zuh@$LwR_1t^kS-eFYLX0v7lEknnv|vVQMcL7WQJgxffMN^kVSjUVNV4i}W?UIKQJ8
zU5<#%g<h1q+l!o+y*T!@7fz)E=wCH}s|^BZ<q|+Yj{wee3!r{*0GY7?tj!GIqbh(7
z{R7aA4q(%?0NyMLpxOEW;&%lw{#XF}F3Gxk0n~jRK=<zfWS8m9m}<RQW8a&TF1>l`
z(VKtWdQ&^NH!Wj(<DJ=?Kvi#I`t>GtRBv*o_C~p|H$`iO|MjNeNN=((^d{*}Zz5jw
z#{WxiI+hH?$u^Lx^#WyX0_9vJkb~ZVEbbM^pvXWHQv&H&5QwcYkOxBo**qbT!LtMD
zvpkS`n`PbJK$e{hB=>3{EglB)>`fqxegqO<Hi+uggE(Rzgx)0x`9FGGAP7rf5KUu(
zIF=SfZefs|F9fk{SP<PO1#x3e5JfA3D77Vs$@_w6aw>?mSA*#IFo->GMCL~jhsp%w
zQ!SW%4TAA(9?Zse!8j{|nHdmF#i(EmDZxC-4<^VE%;v$t)EOU)X=X6jmju&cLogF|
z1@r7^Fy0qs`A#tRp9j<Wb1>$A!5pd-LZ#Xvgft0ZqHBnpr-WeZ8$z#;5C+DEuq`8m
z7eyh|w}cQdJOtgO5a!Pb;pp-ZUTq4Y%H9xKp9mr7atPV?MCWA))4znUx<nuL*!1Ca
z?LORS(uc>ceR$oe4<CK{@FlnpU;D~udLKR%_TiPO4-bd-;o5{goSfB%olE<$VnZLM
z?CL|mqkYJ@(1(EAeQ5Qp4>lkB@cefl4wVmOPK{914MXvF38ilPP@Z)SWlOJ621JC?
zGbt3?+)yrPLiw+MC}E>QsWK&$<MTopxH6QETS9rUH<Vc?LJ7DWD*LBU=D!fV&!N2j
z8_I-=VYI0k##x6j@>+yZ#v_c`3RxEr#-WHXB9g**kQ0Vd6UMiGVe}svM(N3644)fD
zxfNjy-4sTNJz<!Rh4KDE7@4=jxc)SZULV5P_A890<-!?TEu2sF!|B^BoL%nWH0TnJ
z$uFEMA>p{khBG`poLkCpS{uU|FgTnuW5cO8J)HD~;jCUA&ik$5wBH|&_GCDlFNgE)
zZa6Jogp>LyoaukUIaxk}U)3XMX&*t1a|DChM6j|;1n2xB_!JUBt=I@W(jy2{Mo?gg
zVA!AtW{-(r{nQ8!%#Yy0$_P0hkKpAVkv|r}&kGU!yA?sHr^5RPO8kuAcj-vJ+D7uW
zP9%?-L~^xNB*!{LvW-X<2ShS1A`)F<B=Omipo*l4C6W@uBDpg@k{vT5nY1X9oHdbj
z-4;pJ{gK=|5y{$1k(lm8;`=NTn-7tk{~5{TGEqcUiNdaK6z7{nF{V`%ejTFtsfc1-
zuP9Q&qo|e;#oo*)@`|FUX^LXkU|Byliqg}fSTa8f-<46^-xP&qw~QZ+V%51Qx$!Rc
z9*W%SDBgaFl5HZ2G8Lm4TO*np_R&mj7ENt;`Rpv;eWDo`7)`mTX!<2Z^D#S`OjR^j
z%+dG`jb{D0XqlgA1}%u@*~(}FH%GH}cQm#~qsc!P&9UpzG<g_}@l`ZuK1b8|Z#1g%
zG3>7vgKhm7`Z~t2&^3nV9b)8cC5GZ&F>DNr;eDKZ&xj#MDdYMWt__I6W>gGa|BFF6
zJBHayVmP)oh7a3fsJA}`PQ;LYF@|BcVp#e(hC^>+xc4=NAOB*gUa>FDYxKpdL0^KM
z`jY6@m;8=>G0>Mmz4|gLtS=Md`Z77aFH;Kyoh<j4bt7bKqR7k?*+rtWT6DLFjXh%P
zsMtK$m+II1^5cGA?!D;Cp^tr8`l~O)%EXdx8!HDtvD9l6%ZKK%9BUIR$Lz5vePZbv
z7>iA0EY}iZS(q6s`^Q+^4Y7P05X;t)v9iC3rTwf}-Ytq{<?2{cx5QFsPb{a7#M1w)
z$X<)(?!8#XJddU0hgk0Yh-G-GI9l1nan>%5BKtV1G>c=kTO9r!<K%B}9QvMd*o4M0
zzi%9EQ{y<08%G~?9JkDIWDber&6qeeQ{wnGCl1rnIDV{+!>}!m&wIt*u{fTeizE4Z
z9GCCM(ep(dJ3hqG{AV0fO2zZ9QarhK@my#SPba5%X1m7o$0MG^uJP>Z5l@|vcvR8x
zoJ@+RNp?K?qIgai;;BDS^hU<BZDKqnXT}q_FrLXP<GHaho`yT)Nj?}a*NNh}b5Ue(
z#S`@?p7F2ZIr1r<pTFX9E0aJ{<pjppOklTt0?(ZisNt4CmktS}bWLDbj|5f(CvYN4
z#u5`Ko0UN0LK)X55Z*t5oZ$&r$BX{71m?|4VC}L5cCJg{$hHK|?oHsz(FAUtP2k?u
z1RmTKp33rDS@$)8tA7*ZJTj4^RT9}%JCSt`i7aqVWMb<?`gcquPmxHZe<EE&5^;)7
zq+(JcuQL-ls}xyXqMYv}k~1t3pK*yan3~APIf)!wlE|zzi4<%}#Cvxll@2Fz^_1AX
zlt}KaMA|$`<jc!Mc6?04{4){xp*X%*Okzv*B#P=K;nF0DdoD>#X_G{+&Pn_viB&z5
z=-VfWvN1_)NJ=6$D~S??Ni5SP(Ys#~uZJcvc5D)@rX<O^V-o3$llZ+#Y-~!Rr5wQT
zJ&;7$i6kDLPeOG)iNE)f82v1Xn(vaB^EC;_ze%hpn@lU)WY*M7#??NVRgTFxw@PMV
zyJYHjNoG>_WXcC5V+l>>O-wS0$;q6~O2)G=nI*bps`N`nKQx)!W0L7US=P-;rtG3*
zGFK*ZXhSlMb|hokm(0bZ$+S3|O#dsgd^;JZ$H{14iOk1js{KqRzGMnZE2QwIY6|V^
zq+oPNVOO&he!HgN?U91nD~0VoDSQk_p;cH4>3vg}nViCztQ4t93T<^Mq*zlJKO}{n
zqf>Z1DFxe^DR?YMA#QmJ{nw?iU~38ocBgRvP>LL1rcm#q__~oo;QbWRo~2-To5Gkc
zDa`$y!rIcQ?5>o`iR!6bshi5ZMyWh=PUWpzDxW-3`RbL*cOM}jm2aV`e2z)wT~aD9
zGE;d_kjiyUDrd~8>>rfMrje;Envlw*X{q#|n@Zl2R3cZW;=L&q$N!~LVSg&GkEU|=
zOe*Uxr!wxA$UIEN|3xZ|->359Ybxjeq_VV38YY`G0&ApUUoVYUjnep^a~i|k(&*!n
zMqRHo?sZRNX|FVL`=sF-oyMDlG}fl4k)M}Fb5$A-4Qb5opGL&6G%AiwWAA@ysAi_&
zxFC&7%hDLUHVyYJY24Z=b`PZCc07&CXT|T8G#cJcW8cFxQeLF-?_C;mzoy~&N5)I1
zqpXxp+3M-cu9Hq1hjb1(r4!XEohNP6(RNO!B<YOnkxreUbQXlC(>ykvwaMwU%}QrW
zK{_2Y>1;Kn(|%w&8-}OTYFs)?C#TEx{&c1+NT=fRbo#AL=iTOXQg)_uZhtymkEOHn
zOgc3$%h*lvbw8cJXQKZm9lOuz=zgYir9=iE<ujOMo535q40_hjU_s*yzB^|S;+DbU
z_8ENj%%E4d3}*Oe@GMB=BQoSzGJ})J8Q5iI5LX~N>I|M3GjJJ@LEf+oR*lKv#iR_J
zXJn8zFM~NtGPtrT1KW)m_-@a@xF>_vhcdWxLe`zn!27D`-Ogaz!we2Q&*0_T3~GGI
zp!2T`5=&+>sC*`iZ8JG+m&v1gnUrjtNkivMI=f~P-Y%28&LX48WSU<lt9oa$Cp43@
z(V5&$$mDfeCO>jADO;3DRb3`^EtxbLlu5G@nY0|2iQD8%+-C~&Gikjv6W7(5xNOYC
zaeF5AdorncC=;6#nUpw}$>+<NJiD36_4}C|f11g**AmyqOeTEK#Pm0lv@%)ru9QU^
zc_6=5?JT}G$l_*`EOs@|VwPJL#`al6dCE9hRO*q%quyEU49#L<bQT#2S#(OvqGC=K
zH<Ved&}5-EW#Ka*3)^8?TpOLm{E1m)P0PY{P8RPMX0dsB7P_@rbl9B5=N(yW+M7k;
z;VfF56x-*rn0+OS@LO3_c#y^Jr&$!e&Z5c3EG~S@lIvz!v@V^^%?jBJtCEd-&1|mK
z%cg&$Y@C{9bG&6X`E9bX?U>D4uWW+4XY<lOn-M|TG!4&YcT6@>iP=)$YzF6KQ>QSS
zRhn$PP1&63pH0G0ksp<fVL~>gr)D#5RyMU4WHWE6*k7H^$_?4LZOdlEu58*K$Y$fw
zY}%X_Ul+1zaV?uAx3h70n9a0j62qHphJ4KC`!|W{Pd0Z-<q%RKNAAbu(8?}{8Fh0g
z<B&t4V-D9`a-ek%%i8B)<C#N|B8Q8<Id}x*FeN01PZ2qCZ6b%YNjX%=$RRB^hh2p^
z)X?UTV-lPFbErNvhm27<Y#pCN*(o_h&dg!ayd2&x&cSnK4nx-EaC&nNcK^#Ec5e>z
z4(0Ihcn(fybI81u!_w<HJie1dlSeruK9~63NDLn(p6@yM{K>&sDwnn8b9qoX7rPp{
z_|?fpYoE*FCb?X2&gD<5TwL1b65cTvi<hkLmdlAAxpM6~ml~nDbco6&CN394axT*{
za@mqAdWE^X(d1IzluP6OxpW?qOP`UsWRA<l^j|Jxr{^+nPA=;g=CW^DE@xKfa&tp2
zPq*gsVP`JC_T^IMNG>)fbE$qVm)e(esedDvhIeyucqBZR<u|!B_?S!GZ@JX`olBLH
zd6X}gC&x*7e3gH4^SWjp59;M{*&&akj(Kc%$z!=&9@E<8F|<=2#ol?uch94Te;%y^
z^Qaw~$DhbN9>wNyEGdsw>3NLJ$wR5kBUqh>t09j{);yjL%;UhYJZ6v1LpvdlpecDc
z&dlS-+&s=K%45OuJk)FQ@ZFe)-L^a)?#yGuzC5gl^XPdZkLqXhxOp*;Mc4Aky`6{q
zgFHSzk@#NbVS1NGm(O|p{GP}E{^VgOl`s3meBRsSv$|S78MX4Uub<B)hkQmk=A&@Q
z=c8*rOWWoX(=ne4UioY%pG?1eY6Rr7H#nc%@O<oI^4T3P`YHL?WahImH=n4&e0gRe
zpIL@{ysY`$8kmoHSUz<}=S#2U6E-=Y*VFSEJ|`cCg|cpGK7p(9xxX$S?dE*S@5pE7
z?tEGv$Y<w~d;(79bM377xFqpj6I-|QDg7XyF;66xm-)<in@__}`7HdFkJImbmX#==
zdD#M%S1iD}N&!o16wstj0dpG^P^WPL6P*gE(4v3=ZUua4TR>jN0`7JxAdCVI`4-^O
zOLT$?unQ|-P*eeLV+)8&D&R<30q)ra%*ZdGL~#Mx+5*lP3uxP~fGL9t_&ThBn9&7n
zA74Q2$pvVq7jR*A0d5Nl7`dc?hbs!?o?8KvHx}@6YXRMM7BF>h0WS^~;C-xs@uv#7
zcTRj<E};MQ0#4s9px%Q5GM^N%;Y9&I-xT2cv4AmO3%K~RfV%$*NGz>nVR<EwZIn1y
zQ<7a%$@02Np4uyMYN8~ynUc9Jlw5aHQlp)cz>Z3WbWyTXp_KblN}Bal5*w&wY#$|i
zBb2<0QPL<uNl1zkYlf1QIZCb+C@G;*(o&}+!lcB~PsyS|N{$ax@@ABh>f@Do{HG*(
zni9h-CDZ3A<vzEP%gdB}Sf#{vy%LwrN_@5}<(ioi%|0cg4=Gu2Ov%<$N=}?pa{H2!
zx7U<%uCAo&eI*W$mAF1v;`v&M|9d6jpOqwjm;8P!DK1fnu}mQYDikuTav`Iu70Nk8
zA(QGBGTFY6DUAguS$2_it}@m}WIRN+v*>t>Znr{Ieud=rDkLSSkm%4t0wW8dZz1gx
z3UNv)q*g{DWpfJooL|VpqC(DT3fW~SWSOOqi318T4=E&lgy@YCoe721om|MDX@xwP
zRmkCaBDbiJ5z7k6UR8+yI<dK_kW$+Ux%WS@v!{@02MQ@ZQb@pwLYkZ@<oo$T&R#BL
z@%2Isw+rcgzmSHH3wigfko~X3=et6ZKNaHkt&pET3px5%aw}Cte7Pc;RVw1GZ4uk5
z7tya)5x(_`sL-&8(~XOm;8aAIOA$3(i@4-o#N_rxgm)^UnpY8L6h(~kDZ<ach`#|v
zY!5D?IIIYls3Pw5En;dy5xrAnEWL=0*+r!17g4jQh$HGEbowHk%tc)6SHyrpMYI}L
z#MO~S3>;fT%ZcJ^auJs4MKqmVB-gKsP%bK>`m!RntSlmCZ4o~<6ftW{5nXl^abs5z
zhJ9lDkoY-TMDWQXo}VdV@P#58Tq$Dnb&2D45fAQ(+@m5YKPzIv%Ocvpl~_I$5&flz
zXWwP)cM;`E6f>oCF-^)B%RS#>I#(&?Q1xPhYZY^~ZZS#r#XM<LOul0=ADoNPw=CwT
zTQU9G7W2=en1P*(Dd}CzAc`sBTTFldVtxe_V+bzhQ)n@Tk;OcZDJC_(m>WsOgr*g9
zEVG!dxy5WMD8{+Cn3<YlYz$)4T+G{k;&V_jXNDHzHL{qMV~VLgp_sw{74v3lF)=fX
z**~Y477L1*w78h>%S3*a#Jsjxj?ao2yQP?S+lvX?CHD6gQ{!MU>LbNmI9`nVX&FB!
z@mws%?`kpgZxr+6b}`}ii&^!km{QM*iG5kj`ZvXt`A|&X&&90yCVBo8dw+{rR8qyq
zGAev3sF-A<;$9UMt~FGcYN<F<S4A~@6>*JJEN-gebu$$nEmT-sRUB|vQLep8_9ZGN
zc&fPQt)gZ(716#bru(b77NC-A-6|qORs0vB;#{-}n>ZEzi7E!AsMwXR;&Ybx%2Sc9
zR57bq#d(d2vIZ5NW);eQDi#bByF*lz9wB~5tH>CqV)8`sJz2%OX)5ezspvIVg=T?@
zxr<dCTc(od$yC%`tAY(GvNo$2yG_N$|EajLTg8ukqH{=v;;4$`6DkIt79ZzS?7OJq
z&J`8Eu8Zz%@pVr{pNA^)o~Ri5Tx`EmvGuKrGapnu{;cBXHx*TXsc`zMqH{?#fo0Sr
zl~+?-NzEWzHIu5TS!kzbLv1yC>!~?qujYCqHIJLBdDl$M4;MA1UDZ@}S5vc{8v71v
z96PI#|DZ-|g_`!=)pYVx)1{{x@7`(@!D<K<B7|u99xLk;)OaSV>6oUbU8Wkh95pWa
zYMK_RX`oVLr&UY;sVQYv^WCcE?Ep282CKO?OwGxWYW9p#vwpmq1(PJ+DH8W|iGP-w
z<hg2s7l`l0YMhs;sj*VcpVexfty6Phqne#t)GXSrX4FoR-=ijazZ$PYY8oF^Q|5%o
zof7+J)vURoX53{ph1b-C+?4q4NIdt|ym+YQ=o7K=TuuL1YGU6?z8}=sepd7JtJLd<
znrXk)DF3PPEv2DeSq*Q?YdBa*!!%nBxz#jy*=eX;Tf?2Y8rC+@V0F+C*hFNVG(2_I
zu(^eX0j?T)yKAV`PQyJ94J$fnP<4?X_vosjL^ln`d^B<%sv*3WhB|>7ZUt+Y7pfsO
zLW5(phR1z1ERENYnWVufRl}on4GXh0B;{&oP@v&jp@#od8iKVN${RH7H)$|gHMAX|
z;l&^g3x;Zl9wBj#)^K2~2HgY=E&kJRdy0nf(=~LPrQyRIu{mEu*dmE(sfKmSH6*Ok
zP;sq>t?MP0O`^Y5!}jg6yi-G^J(Al#4e<vxlscke<uMI?PHOmkTEon98oFN8aR0J~
zA=flCyD2%|){t{gLxqQu|6>h3pJ{mVLdIWfX#7sYo(~#gKa2iX4HJGye7~j6f5m=D
zEuTtj8B<P6(~4Sl*k}o<qUBLFEe1O+Hnp|PtE;7L11*OdYKd&D<w;X5x@KC+xM-Q&
zQcDvzE$iL2c(>DX+(TqKX^~&UB+pwbPX%k~*Ii3FKP}_^wbTmGGAB@cg=kq3s>Llr
z%f=`z9r}vzI4xd@TJ|JsQKV_vm!U-ty4aU1-wU+tF4WRRrDeNDi-%sz2BVf%7A?#A
zX=yxA%dEj#?1o7$Beawrt;IZ6%ZKq=vL|V|Jy}cGG%ZJFXz`q_WzAeI4hytQT%@Js
zQZ4G`S{|+xnKfGWuhY_cqr|ycOT}$k^gCp1r&g{bON{#@_Jdl+9@g^Zs8*h(6`QBD
zxSo|-oY(T>qL$<<S`J^+;&M~uZfoV9hnDaMTDCmWQv0dY^|_X7FST@fqh;DVvGYMo
z#Am6)S1nb3NZo#EIr>NHT0)1ll#Z)qbhIh2V^l>Q4{UUJR?#uBnvQ2RbabtylV|I6
zJg=w2+g{c?=y=pvM@L5;Bb({C*<44fmO9yw>p0a~NBy=sa@*_J-a$v%&N{-o=$P-V
z<CQ{my6YI^D{?(_)as=pske^hK|0=r=;#!tqkn{s!%;da_0`cQPREo49oLg|*r)19
zPS>$0Q^(_M9nN_=vI|7FP+}~W?;0JMIvtA*62D1@gH<QbJLs4`P{*agI;srQ5iml>
zkWo5zkJ0gEoDR2%qVu1QIa5StnvRMybue3pcCL<<^L5-=sH6H49e&Gn=vU}iu}a5{
zH4@u;9bGo+$lI)A=2jiYx9j-&KOIiHb%gDe9QNy2bx>-0SVzfYI$Tfah(4ubz!|Y|
zPRIERI=)}h(deoU|LZymZtD2&w$$scj@$Qjlz1ezp6F!z5+5&gjD4kJ-5VX}-syP%
zK}WUEGFM-vKHqf|{*>|G;_t7HV<q%FE~TeLSv~gU^>nJJC(K4qzOA02RrSoRu4k*A
zo-?&Xu8y8x_4HJ?*VEiVk9T8{ZK@~JNsq}{&sY~d^IPiK=&I*XYdx3S=y}pk&le9p
zWjpDq>8Z!jOHbRbdO$DNIP}E&ihd70s-AkR0eVIR>X{U*XLcVwOTzT5jS&A)diKQV
zIUK9!RJ@)GiF&Rj>$#n(=Rvxjr<r<QX6t#ItLH<$p3h1>UyJm7SLyko(eqO$7zC4i
zx5)Z_GCn}$28sL-(HkcEBgD=qu{TESj?;5>f}Zn}^qiQi=ipR5JE!Z}G*d6nVCz{h
zSI@NhlJ7!2gBR;DEY(x6Tu;hMy<AJx({rt!F6;HUZq(zjSx?oiQs3=*-tW+Jf2W>v
zyY=kdt7pxAJ+lt#8F^Tb?x>!$<9b3)itcGW&Ccqnc3xt>Aa%ba^}nKL+ciD&Zs-|)
zOONu7_`0XZ>w#Xbd*~_uM9=G|Qk&;eua|mxUPS8oR!{PKJ>5S_-9PIo^Ht{Ko1UXT
z^ep=&cK%51|LO57X`pFogY<xbJLL@QtYBbTB?Icp2HEEtXi?2TnHmP}+8NkU%fO^M
z2J-3|@M&P6enSHv9SodkY+ylC19~R|LCyx6xET1_!obN^2IjemEq4Pw+8X3uvw@c$
z26lHeFs`$Kq%H<pdmH%M)xcS~lQy@zfdXFxU3wU((9^(`UIrHRHc%KO>p~2a3pH>d
z%)p!o16ff9+Qb<6(bvGiI0Iu6403PTK!X$m4^s`SOgB)JX`n;4fnPZWdA`lSumS@C
zg$8Vk4V+gQn5;1nt&_M625uS+%r+ZHuo|%MZ{YR-@iWLk{1C}=n1SoVr7k1I$7qAR
z2VvmMI0K_5NM4hqc9RY4nqojV&4Bw1121Mu+_Ob@t^vFG22L$7Fl3SBu*4wm1{her
z+(6<=12t9~IJU-sb)Dq0!NB8<2BvQ|(0i+aKidqf-(iryyCS#Sz@a?`IcGKCc)-A=
zg9Zj4HqiE{fqTcKmM08&oigzJw1KH-4Rk+m;LQaCGcOtNyJFzoRaw4n!1t!Cza@Fx
zF~B_o&+Z$T@X$b~$1=Z9q(09Kw0a>mekpVLT59=L>h{h+#s`^?PX<<hmY(=3Iee4a
z{gB%JGH~s;0pnkTyf<Lve<h8?mNxREjFB1TjC87C<Vr;&8XF_kZH=s}VkEGdk!RJ7
z46!rPsFsnPwT(p8HS(^Wkx>ndI5sr0+d<YfHu9#4kztNT8a6Ys#aVP+j67^%#MsJ6
z6*nV`TN~-z#>knrMpD}wWnW`tWJe<nI*Tt)Bi+1=a$aC0Lm^`r8Q$GUZC@kH{ET$;
zH*%z>k;nkC+1n`3a~t^^Y-CIyBXz@!EDbl(HqywRC?maMj9lt#Bq`3w^LQibL?geG
zB(@ZZBhARPbR!O#VmHeu$H5Y7u2KF0wUGk_MtT++IbCEVOl9P%+DM$%$X%ULo{KZe
zb$lZ^W+SgGMmgV*8uXVq1{(P=NPG-2@^Pqq4wugnMpUDWydQ0(aIBHn<Bal*m(+2h
z<o2JD2a}B?PBn64n$&HEk@GX9R<k9)IYyW#^D^H^yM;zpFEZk^#K@ebMrtlMGIoWL
z(yNS^SBuXzMzYr#xwGC#_(mhgHW~5WVr0Ws(b+EZxx<LfP9yzyiR^A8>3d~v_ep*S
zjO;jQq{U$)vyK?4bWH3WH}c|yk-n$I&S@hZ&dOY!lODJr`WGeNOEPxF$l<F-+FX}-
zZWt+lOLDy}{_lv*dqy_imw9|>WauO5gU3dqpBmZw%!u;~Bja8g`TWXA{2Qt9TO-Zi
z%eoIzr;kQrK1=_6G1B;(=zf>^`XROWCH?SQ{Qs3+{3mgjFwv=$i5aC$(yJ!o%9+?%
z-bDS1Cd`#g+^{jx+1AALDki>EH4#zW#KsyXs?;=*U(3Yt+9sUpniyEm#O?ZG%ihF)
z4NbgpFwwKIiG@u}{Ay|<(#gcyW+uutH<9FGVp|Kb(aJ=otBKuiChXiz<hC)fudRt%
z?M>u)$Z`i0H9MKe=`1pyCb>ppBHdebyPBwoiG*$@)^#_@bpaFMekK<8F!9;nM2}u3
zrUsaJ(%VFbAQMA_O<W2w(KOT~*HcXF4L4Ca(nM^OiDl6yKE;?I*2I`N6W8KJF42TC
z$;6Ii6Qxs41gA;<=_Ywk!$iw06Pj#^C&xsYJQG3rCZ-gaxTO@mBFUlH#Cny~N^QbR
zYhsYj#8JHo8>5L(lgOG)T(_98?`I;pzllWyB+h{*nhzG;AtqK2HSv0w3AYg@3P*~q
zQ6}DvHsL<jMA10Ocf8bgf(h42QltM&te9-#=@glRX(oAB#>BiC63a{zb!N+4%`q`y
zu8EWLOq5+<qT525(?uq>EH?3Wi3yiwqO;t@tQAt9l@jA>6TWLqSk{`@yv`)=iI`}z
z(L~=(CdO|zad?Y~pIarC?ItpIn3(xL6K8jtD7D)}$2}6yUK4ZonK-{+>UL0Sf5=4k
zVUasx;?z+SzmG{?CuIIlioH`Z52q!LGbVZGLu!29g!O{te^Gkwl8N$HME|PH_cap}
zubbF&L*lt<qV{bQK6j)xcO~w7CXU=U@&18{29IRkA4`p%h`*;M4n31PK9^p4X+rVJ
zMAmEZ`9^x@tx4WTk$QZP8h(@-eKKMCY-0WwvGvu&t8db0Kg9P>*%p48=>J>h=#R|d
zU-AFXgl$PPZAzJmC~Zbp#?17xX8u>s%&qcfepfKlu#y>tjhW=iW(L@rnP0`szN%*K
zRx|Ubx*2;rGhQ{##MUxnsBLCy9W$HjnmJ$3%$xdVD%qQHZfM5G!Aw#kGv>x3)5Oe%
zre;n#ntAGEri8PZ`pwOFxR?oUVJ54k_-bWlhO5ZAnK|Ct%zbw=-`kj}+D`1XH`CR_
zOk@YMTw6CYu#=f-oz1NFG_${pnJZpqUV5A5*uzW>M82DuF5ShpkC_x-Ga5fL!+VH*
zf3rOQU}kqOGiL%Mr`~4X1xh@@W~zmlY1~I@6KbYgn3+D|5`TmlWuzHvl$p`dq90>s
zSzj|-V$B?gGjldx>Xu-ZXGzR_P7*sQW-6zesheiTG2Kk-3^SgYX8f|ugk+oPn`4&y
zW@fo>ZbqALreA@?r8G0XQ1U4<Gp|_etIVubiw}*NU0O2-by5$#_%fKeY&3JzWaggP
z%wvn07gn=e4>a?!zgdoh&HNlFH5g>3<PbAuhMFlqOy*;_#5BT8m64L;D5=kAv%D*4
zrsh~PwZ@sLJzkg~OcW*w{|S?2Y>LQC71?Q`GhK9Nh>e+IYnIrYEw<-~kGbM&p7<1g
z&X*V#NGuB_rbQClVu^8y#JW^sUM8_GmmF3|E-NLcRg&9k$#IS3x>j;tXJ-C->BS9Z
zCTuh_Vw3d4W;6ONQva=HGPaqC-)<&shnb%LlU~?qru{B6F1w{)_egwuC7yj|xfdt%
zx!=sA17@xrlzuy8X76D$8;_V-a#ZXeGc)SA8OsT=ds2G*l$p@eX1bp-)9$Ry**VGi
zyySI3=2LilQR2R2=Fnv`o35Byc-73rYi7BZVwQK$%*5R^)9aR*j<-ekj@0O`Y$L+U
zduFcQmpmVsS@+P)tVc4>kIkr_m`QjlIXn}8&t+SBVW!+mGw+3)uf)%5Gi%<+_VQMI
zyfc&iUi$EZnNA<gH2NetewNw_SH4IOe>JoCoAl*(GsQp5@{W)h?_Xw`{ua4EW?l;y
z{+ikL&&=!+76z2GkY36{&(aoJm9bE@tc8!lm2wt#l(#Uuf<@jHvXETKLU$Vrj+HHx
zwYBh6I9A2NimDbyRkM&=-9kVO3oYy{RIF*?g>bx<h2^y^46kD$v#tfddKQ}2w@{*i
zg}cITdkZrgTF^UKh-hS?O=AnTO+;5X($vC2NAc}sA-0(X4`+$3xrLX)5f=*!T39f*
zv=G_KLTgtG72GU55O%h<FxlNgK^u#lk638f&cYYrOnVDUJ;YuI(dj6;cCt{avxOVN
z22Y8xi-iO)3+=qcR#%Bn*sQQH5(|mlWPNuF<$WyN64v`#7~*Fkria+^xA0fE(9^<_
zUKR`i7JB!#U>|7Vt*}4H!hgY1;}FTAkJK*I!c}2;n8=1p-6Jg2iL~%c*d8TuL|cf8
zvEbC#!YAQitc6K&QvY}hZV48C2`3UQOi!|qk!+!Diue~!rCOMgChO9rju{qy3&%4p
zOvw`6Yzr-Oqz=OVTnl6J#7Dk`Mg>x9VY5=|QfR@yNNQYc;kvL;Wg$;3d21~E6b@=F
zjMiBQ*ITG(uy9{kZnRKnve3aS{)B@Tsh8D4NIwfT`&+mv%pV{z4V1nZB=rzB50<=#
zSnwKZ;h%75n1vC;rDh{!?nhcUFH9a~A$qj<86));=8lyd##v}G-ohhc$pq=Ai58qE
zN!^4M|4IK%79Ue2A7SNG`94j)Pq*+~SU$r-)=Ue{W?6VFESha0WsU`hxfX5<v*uao
zJKsXB1r{y}6Bb$sS|okESb9wuw8TQ!r51h&TbEf-Ew|vhLVOF0R!V=YvQT%mg-gP?
zH8Q7bEtFhmVV9s=Fa5beWQ7GArI$BZsIgh*OBk|6>abPjSy;VIdStsr-lvyd5=Q<{
zUWVCe;j6HAmyGR}dhD@qP8haV^!8c!AS~N&A^w1cY6m4&!F<Sq`(de*F#U*yz@t)U
zVe>Jm!Ev#1!oq1`z)6|gQx={G(@)E`dq#RoSbJ7#ea=Gl^D>`;=7RL%McE$+!!KFr
zbXjr{reBdfuUhyfEWak(!gUMfZb*HEjGGqhZi&92x-ETnN47t~a#!Z$o`q||u>0cw
zfrWd**oPK8AIUyNnEY7seq!O3F#V}To^!Uyy-C>*J(vD`Avp_kUW)HmvY!&>zLw=T
zvR;_|R<`+fA}`E*Z^7q-*b%0Dl==H4_Js+bC5JEKR~YeCYV}Rx5e9she)=JC3fi9*
z8vK&@h1}m#+dmez2?>8?pYc!nO$aGr<+Cueq!mReE02VcrLFR;sg;X@zO0q{<*e)#
z(#l&YSHa3EA-JMd-Yu~*xssKRHdZ+gv0|-krID?b144QgD`l%%SuO-rv+_z9TV3qd
zuyR%?va?dHrj?CCcr7a*h5u?>X;(-53hKI6YSfc)A+)}gcf$AvqHk~Iw2<G>N<{~;
zFZ5_6aSMYQi~lB8b_=mht$Y<GJ6dVuWaW&I*G%Gfwz5c2G`GsNUCGZy{IsyLP6%je
z<*_iJmE`PdWvdYCX62<Yw6zrncPl%D@HSRn3&Y!rzjm@t2x~8L!VnLu+@lg*A-JQJ
zCqlnYR%&&&vR3HfY2}Wf?PA5oOJWf`y{()Vvb$R47|+TSg_V|A*)K$Q6JNsM?pEsf
zSXm=<_qB3W$oI2SqKB2KLJNPZylXFU^c0_hsh1Vo04oaxkKR^}32}i|-UtJOtk?xx
zStfXfSUDvm_K_M3gF<C2%*s-sQ@EAmLTrTOCRie^RF1MTS7;qAJt2g|Sh*_{_LbO$
z@v%~;ILTG;ju+cPT!NJsf-%ub`6P)~a7>oD732X_&Is|TA|n{mtdvQ&GD&dAu(Dd{
zoN48V5S}HzguHB-TVZgHl`6SbW(m%DVo&hSmt2ML0;#i*qqOo#=wE21LXq^CU|%e`
z3vE<Zb_#xKi9v|gSh*+UXsvt@%sMNj_0qROO@oy=f|F6^K=3e0p9y|u=|>^LBK;(!
zTCF@6iuy^6LcjiEV}O-WLe+tiyU<{e%!|-`u+&LtH^j<z!F#A|JA(f(shbcw+{zUp
zc7)_2q>hxi6>>+(JPNAOR=x<vF;;#F{l{7<IZk?2C_moHXu)=Zl?g)iiLxySwI*5R
zw?wSe`_Ia3q2XjJ|8L+fqqM5J001+Dk^%zKCH>LT5*Lt?Mo?P1kxrR+1VKW&TR^(I
zq+v)w7`mi8B&Ct>`SGk-!+Y<!=j^lhK6e%jzma}Icrcrc6XhhCCWQy{$TC?jkY$Rm
zWSQzKS*H0)mg%k|(+u~Kai(!d|C@11JIixOIooqdHpe_j{JVLPV6J)c@jUY;Y`%5y
zmOcxtkFE=?mv)P+pJt22gZfLvhgwVR0Tq{p2fHb`TuoA7g}Nrk%J5(=X;+y8iC2dQ
z!-=&<t@E1hYt<R8*2yvIu2++My}_6i-xwaOCFdq%k$SUr5bqB)&s(~0Q71Ip8Xlab
z#<uWaA0@Yk2kXeWLySnVQ=JfVmmK3Ut#^k97x`w7nxkZ7c(8_Sd*vO8_vtshrOSSO
zih2jEo6-l3PxeEuCDET^$xGTF7AtBV2@m#A_^<F_F=>v9KViqro14^)3J(ra{J6X%
z{RwqQ^pmdP2H&2tCW@R64;GQ~jQ!&+9nOXa7pQVBJlI0c^Y)&27xWJ9)8L|KQ1oxT
zo6jzV2fy%~7MJyYN?);Wq`7KrUeWqmcyN-k*TaKVq`P4cc}1(6?jyLRHc5F~tawI~
zJ8Fp{ckLSq@0km?seL~@*g?(*;lU)r9)<@UIYZfh#DEl!>@WXN@3CAU*Av$h?Wy>3
zl2XsagHN9upBq&BH$2!t`WMbrp3vZ>eIVB>eV%u;d~F{o_{RPb^R0Psk`nLCo4D`Q
z0cQ#R)4xdY!8yVO%0>$Xi})lg6!hRcrK5*}1;mdL3c7KYQZYlpTw=!x1wU|{A|Hi<
z8H9Zt3R?3g`C^BHiM*z9oKUcfEOA4@FdkAXUMN^k%J`um#1+0u;CaOPBouVyC|@Kr
z4zFmKC=_fXed16sfa{e1G!!f(PLfd2fg|Ki8Vbhpl-kKc!8($C77BWChN8(s!BpPR
zFhwZXN}80RAe@VoNM${|qfu&~lO~PNxk&M}p<o)Xsh2JkY~-`_p`a%xDUcx)jN>uY
zGlqg?#Qi)Jv}GTeGlhbmxk9PTp2cgv%MuFKk|?X#a)@l%Lct)eQYw2Wn9eKe<Ol_;
zi2pz15=n-f=EzwJ<_h^;&5-|(B@|T59SVNuJ@xW<2A|{&1?`9=eZEleBd5rl-yU(D
zl3#>^$vmM-flx4?57aMc3=$Nw-|Qeo;ZV?(Lu4vq9-Jai(NHjiD-<nePTZmNmm&X$
zkr+{_cqo|7D{7XIheRtG3hJ_gSf%U(Yl$0#f@W+YVQJ528%fKAg7)m>v$FDs-K6*`
z6m%kzROLcJ7xs~+y!o<^)D`?Wdr4I>6m%w%l$G4e9#VX5Om>pAvY4}#L{&mTOEwX|
zYRJEDlyAhYX3nf6di7B7EsJ<d^%|jI4$rArQ!eq4(zWCbHz@o~C>Y9la@7v`yZ=yd
zjL+++Pxg`GTWe+u@xN1Ntl$GR>v{%H`Kn$hn7~a6*S8;>AzOn`(3|}vZx{;Nu#t}&
zi9HK>NyWzUfLj#$UOsYy&zp!LJ4x6y6nxKe-chBQb#aHn&E3OsGPDp=wi36cd}IO7
zDceeZ@HhW!ZEi%8xQ(${$}7sZ6(=r}t6eDQ%U%+<7XudaFJ(G}f{~mfOGk5M8*zTH
zAI#waMLMZRj*y~rC}_b7UQ@11C>YIovUHUvY#~;+klzQ?N4QSz?&ixb;`J~-v$#uv
zo_ZYnNz_aI@H_V@*xP69BVix$U=H^v&{rL?mjpi=lbPHkcR&4xZNv%>1=X0y-((5t
zAFSscUqyt1Ux^~cPoba*3wTJu{-K~ByNNSE-Y}U<Wd2!xv5FUz7${C0;FCdm5YxCq
z)?d^IYj{P;!LDUL@rUU5OyU9=hK7PxEa4FahuK566XRF;#&C|3WVl>pI+w{bLY}ge
zM-&(-?rh-$Wk-dAUpPR#(Q1vcoFw^}P|$#xTp`m~{e#6kAkR4a%Nm|jczh`6!ymk(
z)PzvbpWVcq7z!#dltaXyWDgj{Q4&qIX2x-Xq*Lr4lQ=_)sq%nnTp-Of{el@>B+Yc+
zGlPqync;h8aFH}Kea{RolIAyO8PhmNido{uBu<fZwzH6NM3HEY{ACnJi2u8qWf=R3
zHCNs+fE~Q2_&oc>M*gM1d^N>N9+Go`zQ}y8k$#~$GL_RLStP$0$ss;otiBk)cHUBS
ziT=ha9*}*h{>p4Fl46;>V+@Chz1$e|XDhELxWYcNlv`w6X&y}GI0;rca~Q~WUQ=+j
zzRwbFl3|T_GLfUiSt}ld*vJ!du9L^i;v7lV%K?V4i?<ZoU|be)l~fz;10&eWe-znd
zzAWY%sW)3ABiY9XivA(iEaoaHx5zJsv5VK_-|9?f4(CX`Efjps05<c49NV3rOyw9K
z?~vE@WEs~<wbR%PWd|?Fy~{o@o#VvW?YyEl%ehX<J#va)*uoRCMe50n=O7;_wAZ^D
zb2vkSePT;rR&s-s`_(Q3*~CLWKOm<W!7g5q^Pn@Ai5%hs1rLb>zj2(8{tN|Q(uv<W
zP29uQO*a;Bo==YGAM|1gm-zHAb<U5h;3`Rv>QVg2a;}i%nCs}vGA{FJl(ULHEaei3
zkIPqjvxJL$azZTW#yn0F`=mM3k>5B*^i$SGYo>6BcjP%O28<(;f601AtQg8>?veUz
zD5y$^6<j9KIp-wZn9E6Go!9$l!xRqknj9DOEQYa}yQI7*$LPyq&JpMDP*99^OywZ2
z$#Kd33}Z8QNpV>$>BW3b661>Zews0c9sEPutL9HXmT->P*VGTKnMfqh$aq~Y5@IRm
z`1pq0qXlEx!9!Btv<7-JpA&@L@-9qchO?R5B)u(ObYeOO_?OS`cpl*_<}@+x`Z<Wk
z{K`gdkocb5qXSde%Tv<b4+WL!#qa#Z8?rtK1>X?C5>6BSp?#+TgIU8R;{IdrXwE49
z;1-`gawgN3@oeWVNgs!Tfc8veC-?d6iFMME$?WDKDW0lTIx&?<9+B#qyrvUV*v$hz
zdoH(W&jhw}hfn|YK0#~7@CP^e<b_^Gb4IX%E5v>2yrB`lu!1v0dnK><hJMWB2ro$g
zTA!yY)7ZlUlD!ds+AxOATqE9F^+h8Fv5b?vBlA1CM-OHY$pezUw+>n|f^}RZ=6~Kz
zsY5vPILvd>d=Nw0GnP$U=A&p4L2l~MkKZ}SW0HqO1f^)j2-b3*u;>v%c52XznM87*
zPh&&`#c0AWEG3GUq>UL7d__A(vz`lt#ftE|d=Wu4x-*p>+$7#d5kY?H5@Id~c|@|0
zBZA^I<rkK4l;@<3ZSJ&SD9bs{OVY%N2+Gi!;jH2mZ%7|EA}B{YMzNN&yyx?H5kW;d
zFq*ZT;VtRoTN`Z{&Pq=3lGF(zf`AqbVJSy>M)FUrfhG)OA%F6SBncyeA~Ym|IYe@s
zxQXl=HR;YIHgk~=e4aQWC{J64vw|p|ll;?&;7c0QpSkSgF7cB@1bO*}9!z2r=XpoE
zq!B@Bnlp$69N-@DlSKr1s7W^_uz|C@A<bv@gr@w=Joa&ixXB}eTvVqEV_Cxqo|7y^
zL{ONz^kFK0aDjKEO=)bJ(4RT%<~lJ`MFd%>KpTd#m_ytrermC#I-MEKN{;e~glWWt
z8gynfD>=#|5~lSzHR#M}R&ta_BuwXXYS5X{tmG(<NSNN|)Sxq?Sk7VY6E{Odkb_FJ
zVKDQF<T}waMg$otO%o!R$yP4#hLoR21VyP!FD9~%6FenxridUPHR!}hmU58W#L65I
zWTFgB2r-?_oZ(-RWKpZs;0K1YnEl)&MppAApfUZJ%0^D{jKtZ*f@*YN7z^0L72cC7
zySktbT^Yqv4ses`IU<7el%PJn7|$w>aF37w7ZGHp4Byj_DXix>kBFaB+^Ikd`ZJTw
zoZ<-ya=C``G$X`R))U1;;^dZpl%X+wnaFC6aF<wl#D<d8rzc}s&OvSxmRFurjBn}6
zNEQ>xW!{i1pS`3Ctr@@!HgcSY#LjO&DMfvHFq$Ro<qB{4><fEJRod_~Gugxm{vl2Q
zu_T}YJsHDN_HvomBq^xQs7N#VF_D!V<T~$3UdS`4LMwh^Dr-5yZNducs}!OJ?HI^R
zHWI~sVil1K6r(mjFoZd5;Uo|FsHp2GN-f$mkQuD!FK!d9m|Efss?d@UlUT_CuJVQ?
zU+QU;=X-iHhQ;jW0?$cMJR-<SKs~zhD|6Y(NgfchgdR#ks?w5hCa{c1F7llCCG80%
zs6$5vF@tp+<_7ObTFN{rM<aSLf_ZG^BoBxgcs>QGN=y9BS1^HPL~?<r#3>ySWS|Ju
zX+=2WS;8*P@`#Vh$ZHBxh352S3=7%LDIO4`tokQEm1sgQMlz2r9Oo|4zLHDip*)S~
z&acd26GyqpTN0P^9zscK(~h5*$WnH3hKIx`FAvB|c^cA{A<Seg2f56@#H*mbDMB?`
z(3jE7XA4o><~>O&>MI0%O9uupndR)^9RCobQbdq~+?1s*9T~tRma>ym+~WgDzcxOl
zs7+f!jAJ2NiQ*P-NmN-6<4bDLlD>>$E}J;QHC__GiuF>MDm0}hzcPz;9OM#D`KYRW
zB@bo!j`l<_js^U|UtHq_ajSVB;R`CzfKL3(B$lw9<J{s6pH%m5L}4oPJ>3}0G*+;i
z)7;}fKCPiX`I721rx(BS8*A9ddHx}+rudSLFR4aTx-*!mEMo`9xydWy)v_M)Q;xc{
zC&U=$vVntK<Pp)o(eKGlajMgd9t>d`%h|~ZZt<G<wIhP`d_j5Y(SZoYGLMZM;%^=k
zy^eK}m7-Lp5uNDIIOef|1Dxjp|B>ihai<^^s7HIk8O3bY5Xouo@P_!`i3#~AOC4I%
zhhLe&3U+dw8@wQPUHL>VN>P*M^k6VkSi)BR;tEfRSx-F4N)akipZ4@)1T$H|4vuk^
zr^Ki)K4hUV6{$x%eq=Z^Sk88ia)l>EZ=mMMOd%>zm$vlfSEjR!ZT!V$9uwA3j*^Lj
zl;=Cz(1&46V<}rX!X+LNt&zS*M)FgJS~R080~pI3R<nyJuJVMi#_lI0`6)v!n$eX3
zjAah1*+mprc|zFt?k6MpDMKxq(Uk#=We%&^MHE+gLRb^`lac(Cp%%^P$^gbPht=#N
zimN;!tf~9SKwe5wjYf3fM}{$lg=}CiC%Mj3!kWo%(vydhRHY&9>B~?ivw-zPa)N6-
zAzE`k2at~3l%NU?Xh$E0Fp2rBV-Lr<%40t8NegEwxhPI$>eH6q3}zzpSj%prxWXg;
zBSA~&JpZF86{tgVx)8w#rm=_(L~@)f{KGrqwsJ0!m4cL|Cg0PM9~sId=COvI{KZA?
z@rsXHt1CVyAEl^D1KQGyL5yQIE7-~*&T@<AL~moCNJlQdq!QoJl5X^86f;=DCiZcX
zYdq#Z;<wdb$W9^3QiDdcqZb1i!%UX2kw~Jr#C={7tDX8KJ-H}G1!~ijANY|WOkfTx
z*unu$ag9g3BTjqo?PMY!C8<nZTGEvWhBJlvtYHU-Ima!Y5v_xKAQjmtNExcrkhb*X
zXGSxF#cW^?$M~Cjyd-8v^+q~!QiQLlK||Wmou3%aWahGxE$rt6m$}bNV*H?XNKG~h
z5Kx7>w4gKn7{YjFv6PMM;V2il%`-j_uaoyjGLe_!RHQad=s<4<GMecuWGy@RlQUfB
z5pVgpvp!FHa#Dn^s6j*8(4C(c&Sd7Yk}d4#1edwbOJa1feo~W-0t8g%Tbj~=UJPIa
zllh(HY+?_8agG~2;tjF7su@y~mHd>TBHz%Mwsa?gVN75aOIXiN{^T@QdB97ecavMB
zAQO2gMmcKGfL3&&AA=do3>LD6Z5-ePm$=JwJ`lINvz!d%q%dWuN?n@s1AQ3CD5f%x
zmHfe8j&XroJmDQ5_fWH>B|8NuMJ2wW5v}RMj|^fIQ}~@_Y+xscILRgM@RWCa)Klz9
zMP~9)l(JOiJDSp-9z-ydam-)=tN4RR{^Bgxc)$yy^%5tNl8)?rK?y2QlLoY;6MguZ
z5lmt>OIXKt4se`{+~P5Bh}qlOL<&A97lkQJW$N%fZRtihgBim#=COiJ?B+11xxzi3
z^B=MM*cZ}}m3(|jIjU2arnI9Q{TReZCNYaetmY5)aF|nE;x><YP4vEc1W8FtR`ODm
zGE}BEjc7$Ddefg_jAJ_USk4A^aDXVzbDanL%YS_QqnscmpOce<l%xVRs7Eu})17dB
zVHA^@&0^NDg-DKYn#<hb32%te&sj$@(vgjP6r(Ivs6%5~)0sXD;8(^ogZZprBRe_B
zaV~I!hrHkevBRAaq#_f!C`2hLQj_{Lqa9u8%K(NkmZ{8PF{|0kE)EjKIj(Y-C%h&s
z<m@CdDal9<@>7g5d`&It(~Nd>r7r^*##p8@hsCUBGrKrQ6z90gU7qloun5m5F)7JN
z4)RlsGJH)f>eGyNbfqr?7{*wpGKa;iW;44uNEGL|%3YrDny{ZdpTwjjBRR-VG0N~Y
zwWv=s+R>H13}6^znaUg%vzpE9;vi9+<0^M~!fV3%dp?OtNk(#zpJJ5ZYid!SX0)X<
zy$CUg;f!M{vsuUr*0Ys893qOdT;>)JdCps+4=@)Jk(_j7Ar}Ssk}_1H2H(+`mUN&S
zed*5-Mlq2Y%w-9y*~AX^afFjx;2L*%%uD_w*3W8@B%~rE*~v>`N>Yw0d_#Sj(uPj-
zB%Fc#%2=i_iv=ua9b4GVL5^{TOWfoE&v--FK($IjJ|iue$;lTKqcjz%&bKt81?}ld
zAAVvmBbmT-erGYO*vNMFa+njG=PGx2#0%aNbC90Qr=%nU*~mj7O7InxsYN}S(3&6U
zPG5fF7lt#I$;@Ofi&@Efwy=x+9N`4#xXexN^MseYC&n-Gii9L1H5ti9ZVFJ0fbvwK
z7IkS%3)<0{p7dh?Lm0_;rZS89EM+wt*~T6Ya+FhC;3~Iy$TME^fmnmZlEfq@Et$wc
zUJ6m1GE}4*wW&`NTG4^7^d`hWhB2CnOlJ-YS<YHEvxB|-Nfc-Jo9o==5&!a*up!Px
z5|D(Hq$dkG$xjhV@)ciGgKud_GurS2-Ra9u{K9a?GMSmoWicyR&lYyEpCg>$9GAJt
zeV*`=_rw@#|4B$PQj?Kv<fZ_{2q;e#YEhTQw4fcG>B*1$#2|(-it$WgCcm?gWvpfc
zTiD574sn!|oZ}MLxx+)A@{)Ii4f9S)JQ9(NRHP>}Imkl+ic*rYRHQ1k_>P7&r4{Yz
zOb_}J!9a#Gl5tFC26I@zQdY5^KiEMe2l<N=oaJw>ahnG`;RSDr_N)9RE(u9WO45;u
z?BwPPico?wRG<nq`IZJWp(X9;M0ffS;%A01g0W0uI<uM25>~Q~&1`262ROoU&Tx^d
z+~Piu`Ik3*Am(s+#U~^o1!?)5Y~&(8g(*&H%2Syd)S*7#(}K4AKsS05&Hx58oH0yf
z8nc+kVpg!0O>AQ~`#DS$r@6otZgP)DJm)q45o3gNg#>&`a?+5ItmGsgh4_+ya(qp7
zYEzHKG^Y(6=}Is9(VsyKWdviGz!YXMn|Ul^8LL>wCbqJZNDgqAW1QqH7rDX>?(l%e
zJm(efh&Ixm5u5lVA}J|ILk2RFom}LjAVn!bY06QFs??+o^=L#>TGEz|bfE`*2&X@T
z7|IC7Fo7w|U^equ#4=W~j!kT3Cy^ZBFvmE_SuS#g8{FXmk9p23-Vtq-^%I-;BqAv(
zNJ9oPlbu}TqaZ~oL21fSiK^734)th6Q(DrNj&z|1eF&#NgBZ#P#xQ{?%wRV2Si~|`
zv5rk_Whapw;4sHH$yqLPg&W-A0grjkE8Y=pwDl94_#`4JDM&*GGLxNL<f9-(DM4w<
zQHiS5qz?6HL{nPQmX36x2Ym>qKZ6*`2*xmhDa>Ft^H{_(R<VvvY-J~r9N;j=ILTQq
za)le*;Q^0%&MV##ZH)C3oA@LmDJe)p1~QYKT;!u5MJYjP%2A1`)T9peXhc(5(w2^N
zp$B~kr$2)j$_U0Vo=Hq)2DA8``7B~7D_G4sHu4AC*vTIDagf6t<v6D}%LOiRl^fjV
z9uIlUGhXnTcYGlFSmzY6iN_}-CMn5DMOreDiLB%x7kT-DLKLMqr6@x=DpHwh)TB1w
zQJ+RMp*gK+O9wj9l^*owM?&;xAcGmk2u3rGiA-TSzcGh-EMy7GS;bm5u$iswU^ja?
zz@Pj@6el^udH&`K*SW=A9`J~#{L3re@*iR2<Q^Xrmjomt37?UYG^FQqvXGse<RL!=
zDZ-bOq%>bqfv>4b4Zh)9>d}zzX+}%h(4HUYLU(%6mvDaKXMSNQ!x_a`CNP<4%w#rm
zS-@hJv63~cXA@i4&MqR^&moR*j1!#Z92dFFHEwc;`~1Tbp7WA7yeHat=QbY^hxjDq
zQ<9N_)TARLnaRfg$W1;9P?%zrAfPPesYDg3Q;Ry(r2&m;N()-kj*fJu8$IbmKOz{w
zAcpWOBN@YZCNY&6%;I<EvxudvU^VO5$RBKDCwth(K@M}2<DB9w7r4Y#Zg87>JmfLY
zc)@Gl@qy?Q)IYI_$0sBvDalDiS~8G{tmGgUdHI4u6s0(&C__0aQkiPhq&DACpGGvH
zIjv|*2RhM}9`xo%LiA@KgBivMMl+6yOkp~|F^9R#XCaGO%5qk+nzgKFBb(X6Hg>R!
zJ?v#a2l<mD93_eqoZ<}UxWM0B<|@~@$!+d(pNBl+3D5YKm%QdJ@A*L3M7d5ZJ|+(F
zNI*golZ0d>Cnc##OL{Vri7aFz2RX@2Uh-3bLKLAG#VJWZ8NQ-C75SPfRHFv9sLi+3
zr9KU5OcR>Xf>yMl9Ub_A&UB?aJ?Twf`VrzM1~8Cc7{V}yGm_DaWjqs^%v7c`lUdAR
sF7sK)VwSR;m8@nh>)FU=wy=#I>|zgl+0Q}#<OoNJ;smES!#OVSf7T#zXaE2J

diff --git a/examples/ode/lorenz63/Lorenz63Test.ipynb b/examples/ode/lorenz63/Lorenz63Test.ipynb
new file mode 100644
index 00000000..2aa18c7f
--- /dev/null
+++ b/examples/ode/lorenz63/Lorenz63Test.ipynb
@@ -0,0 +1,454 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "from torchts.utils.data import generate_ode_dataset\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3\n",
+    "\n",
+    "import time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Lorenz 63 equations\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"sigma\"]*(prev_val[\"y\"]-prev_val[\"x\"])\n",
+    "\n",
+    "def y_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x\"]*(coeffs[\"rho\"]-prev_val[\"z\"])-prev_val[\"y\"]\n",
+    "\n",
+    "def z_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x\"]*prev_val[\"y\"]-coeffs[\"beta\"]*prev_val[\"z\"]\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
+    "\n",
+    "# Initial conditions [1,0,0]\n",
+    "ode_init = {\"x\":1, \"y\":0, \"z\":0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"sigma\": 10., \"rho\": 28., \"beta\": 2.7}\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None,\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 9.1793e-01,  2.6634e-01,  1.2636e-03],\n",
+       "        [ 8.6792e-01,  5.1173e-01,  4.6540e-03],\n",
+       "        ...,\n",
+       "        [-5.6997e+00, -5.8341e+00,  2.3410e+01],\n",
+       "        [-5.7226e+00, -6.0452e+00,  2.3121e+01],\n",
+       "        [-5.7641e+00, -6.2715e+00,  2.2854e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_train, y_train = generate_ode_dataset(result, num_steps=5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-7-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n",
+      "  ax = fig.gca(projection='3d')\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,0], result_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Runge-Kutta method for training"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:25: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
+      "  self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_train_coeffs = {\"sigma\": 20*torch.rand(()), \"rho\": 20*torch.rand(()), \"beta\": 20*torch.rand(())} # Start with arbitrary values\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=torch.optim.Adam,\n",
+    "    optimizer_args={\"lr\": 0.01}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "GPU available: False, used: False\n",
+      "TPU available: False, using: 0 TPU cores\n",
+      "IPU available: False, using: 0 IPUs\n",
+      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/configuration_validator.py:101: UserWarning: you defined a validation_step but have no val_dataloader. Skipping val loop\n",
+      "  rank_zero_warn(f\"you defined a {step_name} but have no {loader_name}. Skipping {stage} loop\")\n",
+      "\n",
+      "  | Name | Type | Params\n",
+      "------------------------------\n",
+      "------------------------------\n",
+      "3         Trainable params\n",
+      "0         Non-trainable params\n",
+      "3         Total params\n",
+      "0.000     Total estimated model params size (MB)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                                           "
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/data_loading.py:105: UserWarning: The dataloader, train dataloader, does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` (try 4 which is the number of cpus on this machine) in the `DataLoader` init to improve performance.\n",
+      "  rank_zero_warn(\n",
+      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/data_loading.py:322: UserWarning: The number of training samples (8) is smaller than the logging interval Trainer(log_every_n_steps=50). Set a lower value for log_every_n_steps if you want to see logs for the training epoch.\n",
+      "  rank_zero_warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 0:   0%|          | 0/8 [00:00<00:00, 665.87it/s]   "
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:216: UserWarning: Using a target size (torch.Size([128, 5, 3])) that is different to the input size (torch.Size([5, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.\n",
+      "  return self.criterion(pred, y)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 0:  12%|█▎        | 1/8 [00:04<00:14,  2.03s/it, loss=32.6, v_num=17, train_loss_step=32.60]"
+     ]
+    },
+    {
+     "ename": "RuntimeError",
+     "evalue": "Trying to backward through the graph a second time, but the saved intermediate results have already been freed. Specify retain_graph=True when calling backward the first time.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-10-290d7605f427>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m ode_solver_train.fit(\n\u001b[0m\u001b[1;32m      2\u001b[0m     \u001b[0mx_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m )\n",
+      "\u001b[0;32m~/Documents/GitHub/torchTS/torchts/nn/model.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, x, y, max_epochs, batch_size)\u001b[0m\n\u001b[1;32m     57\u001b[0m         \u001b[0mloader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDataLoader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshuffle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     58\u001b[0m         \u001b[0mtrainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTrainer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax_epochs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmax_epochs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 59\u001b[0;31m         \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mloader\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     60\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     61\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mprepare_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, model, train_dataloaders, val_dataloaders, datamodule, train_dataloader)\u001b[0m\n\u001b[1;32m    551\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcheckpoint_connector\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresume_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    552\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 553\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    554\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    555\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstopped\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, model)\u001b[0m\n\u001b[1;32m    916\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    917\u001b[0m         \u001b[0;31m# dispatch `start_training` or `start_evaluating` or `start_predicting`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 918\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    919\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    920\u001b[0m         \u001b[0;31m# plugin will finalized fitting (e.g. ddp_spawn will load trained model)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_dispatch\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    984\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_predicting\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    985\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 986\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    987\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    988\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mrun_stage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36mstart_training\u001b[0;34m(self, trainer)\u001b[0m\n\u001b[1;32m     90\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     91\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 92\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     93\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     94\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_evaluating\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py\u001b[0m in \u001b[0;36mstart_training\u001b[0;34m(self, trainer)\u001b[0m\n\u001b[1;32m    159\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    160\u001b[0m         \u001b[0;31m# double dispatch to initiate the training loop\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 161\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_results\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_stage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    162\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_evaluating\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mrun_stage\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    994\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredicting\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    995\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_predict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 996\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_train\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    997\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    998\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_pre_training_routine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_run_train\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1043\u001b[0m             \u001b[0;31m# reset trainer on this loop and all child loops in case user connected a custom loop\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1044\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1045\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1046\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1047\u001b[0m             \u001b[0mrank_zero_warn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Detected KeyboardInterrupt, attempting graceful shutdown...\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    109\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 111\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    112\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    113\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/fit_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    198\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"run_training_epoch\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    199\u001b[0m             \u001b[0;31m# run train epoch\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 200\u001b[0;31m             \u001b[0mepoch_output\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mepoch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrain_dataloader\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    201\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    202\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mepoch_output\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    109\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 111\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    112\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    113\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/epoch/training_epoch_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, dataloader_iter, **kwargs)\u001b[0m\n\u001b[1;32m    128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"run_training_batch\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m             \u001b[0mbatch_output\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dataloader_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    131\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatches_seen\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, batch, batch_idx, dataloader_idx)\u001b[0m\n\u001b[1;32m     99\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mepoch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_progress\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mincrement_started\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    100\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 101\u001b[0;31m         \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdataloader_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    102\u001b[0m         \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAttributeDict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msignal\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtraining_step_output\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_outputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    103\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_outputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m  \u001b[0;31m# free memory\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    109\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 111\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    112\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    113\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, batch, batch_idx, dataloader_idx)\u001b[0m\n\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptim_progress\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_idx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 148\u001b[0;31m                 \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_optimization\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    149\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    150\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_outputs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mopt_idx\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_step_output\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36m_run_optimization\u001b[0;34m(self, batch_idx, split_batch, opt_idx, optimizer)\u001b[0m\n\u001b[1;32m    200\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    201\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautomatic_optimization\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 202\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    203\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    204\u001b[0m                 \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_training_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_hiddens\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36m_optimizer_step\u001b[0;34m(self, optimizer, opt_idx, batch_idx, train_step_and_backward_closure)\u001b[0m\n\u001b[1;32m    394\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    395\u001b[0m         \u001b[0;31m# model hook\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 396\u001b[0;31m         model_ref.optimizer_step(\n\u001b[0m\u001b[1;32m    397\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcurrent_epoch\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    398\u001b[0m             \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/lightning.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, epoch, batch_idx, optimizer, optimizer_idx, optimizer_closure, on_tpu, using_native_amp, using_lbfgs)\u001b[0m\n\u001b[1;32m   1616\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1617\u001b[0m         \"\"\"\n\u001b[0;32m-> 1618\u001b[0;31m         \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moptimizer_closure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1619\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1620\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_zero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepoch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/optimizer.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self, closure, *args, **kwargs)\u001b[0m\n\u001b[1;32m    207\u001b[0m             \u001b[0mprofiler_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34mf\"optimizer_step_and_closure_{self._optimizer_idx}\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    208\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 209\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprofiler_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mprofiler_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    210\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_total_optimizer_step_calls\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    211\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/optimizer.py\u001b[0m in \u001b[0;36m__optimizer_step\u001b[0;34m(self, closure, profiler_name, **kwargs)\u001b[0m\n\u001b[1;32m    127\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    128\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprofiler_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 129\u001b[0;31m             \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    130\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    131\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mCallable\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, optimizer, opt_idx, lambda_closure, **kwargs)\u001b[0m\n\u001b[1;32m    294\u001b[0m         )\n\u001b[1;32m    295\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmake_optimizer_step\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 296\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    297\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpost_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    298\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpost_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36mrun_optimizer_step\u001b[0;34m(self, optimizer, optimizer_idx, lambda_closure, **kwargs)\u001b[0m\n\u001b[1;32m    301\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mCallable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    302\u001b[0m     ) -> None:\n\u001b[0;32m--> 303\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlambda_closure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    304\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    305\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_zero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcurrent_epoch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, optimizer, lambda_closure, **kwargs)\u001b[0m\n\u001b[1;32m    224\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    225\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mCallable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 226\u001b[0;31m         \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlambda_closure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    227\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    228\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/autograd/grad_mode.py\u001b[0m in \u001b[0;36mdecorate_context\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     24\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mdecorate_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     25\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 26\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     27\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mcast\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mF\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdecorate_context\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/optim/adam.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self, closure)\u001b[0m\n\u001b[1;32m     64\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mclosure\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     65\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menable_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 66\u001b[0;31m                 \u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     67\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     68\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mgroup\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparam_groups\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36m_training_step_and_backward_closure\u001b[0;34m(self, split_batch, batch_idx, opt_idx, optimizer, hiddens, return_result)\u001b[0m\n\u001b[1;32m    234\u001b[0m         \"\"\"\n\u001b[1;32m    235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 236\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_step_and_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhiddens\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    237\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    238\u001b[0m             \u001b[0mreturn_result\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36mtraining_step_and_backward\u001b[0;34m(self, split_batch, batch_idx, opt_idx, optimizer, hiddens)\u001b[0m\n\u001b[1;32m    547\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    548\u001b[0m                     \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"backward\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 549\u001b[0;31m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    550\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    551\u001b[0m                     \u001b[0;31m# when in dev debugging track the losses\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, result, optimizer, *args, **kwargs)\u001b[0m\n\u001b[1;32m    588\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    589\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 590\u001b[0;31m             \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    591\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    592\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshould_accumulate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, closure_loss, *args, **kwargs)\u001b[0m\n\u001b[1;32m    274\u001b[0m         \u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpre_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    275\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 276\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    277\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    278\u001b[0m         \u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpost_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/precision_plugin.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, model, closure_loss, optimizer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     76\u001b[0m         \u001b[0;31m# do backward pass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     77\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLightningModule\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 78\u001b[0;31m             \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     79\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m             \u001b[0mclosure_loss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/lightning.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, loss, optimizer, optimizer_idx, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1479\u001b[0m                 \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1480\u001b[0m         \"\"\"\n\u001b[0;32m-> 1481\u001b[0;31m         \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1482\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1483\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtoggle_optimizer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/tensor.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, gradient, retain_graph, create_graph)\u001b[0m\n\u001b[1;32m    219\u001b[0m                 \u001b[0mretain_graph\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    220\u001b[0m                 create_graph=create_graph)\n\u001b[0;32m--> 221\u001b[0;31m         \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautograd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgradient\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    222\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    223\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mregister_hook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/autograd/__init__.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(tensors, grad_tensors, retain_graph, create_graph, grad_variables)\u001b[0m\n\u001b[1;32m    128\u001b[0m         \u001b[0mretain_graph\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m     Variable._execution_engine.run_backward(\n\u001b[0m\u001b[1;32m    131\u001b[0m         \u001b[0mtensors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgrad_tensors_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m         allow_unreachable=True)  # allow_unreachable flag\n",
+      "\u001b[0;31mRuntimeError\u001b[0m: Trying to backward through the graph a second time, but the saved intermediate results have already been freed. Specify retain_graph=True when calling backward the first time."
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit(\n",
+    "    x_train, y_train\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver_train.coeffs"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Predictions for nt = 10000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_test = ode_solver_train(10000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(results_test_np[:,0], results_test_np[:,2])\n",
+    "\n",
+    "# 3D plot\n",
+    "fig = plt.figure()\n",
+    "ax = fig.gca(projection='3d')\n",
+    "ax.plot3D(results_test_np[:,0], results_test_np[:,1], results_test_np[:,2], 'blue')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.io\n",
+    "\n",
+    "scipy.io.savemat(\"Lorenz63_fitRandomSample_RK4.mat\", {\"x\": results_test_np})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Mean Squared Error Loss"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs={\"sigma\": 10., \"rho\": 28., \"beta\": 2.7},\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None,\n",
+    ")\n",
+    "\n",
+    "result_train = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs={\"sigma\": 10.0535, \"rho\": 28.0544, \"beta\": 2.6995},\n",
+    "    dt=0.01,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None,\n",
+    ")\n",
+    "\n",
+    "result_test = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "loss = torch.nn.MSELoss()\n",
+    "loss(result_train,result_test)"
+   ]
+  }
+ ],
+ "metadata": {
+  "interpreter": {
+   "hash": "451aa0df4a570cd656587110b6aa2986586cee19fad7a1827a6dda4238079d81"
+  },
+  "kernelspec": {
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/examples/ode/lorenz63/Lorenz63Train_fit.ipynb b/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
deleted file mode 100644
index 0cb84266..00000000
--- a/examples/ode/lorenz63/Lorenz63Train_fit.ipynb
+++ /dev/null
@@ -1,814 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Lorenz 63 equations\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"sigma\"]*(prev_val[\"y\"]-prev_val[\"x\"])\n",
-    "\n",
-    "def y_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x\"]*(coeffs[\"rho\"]-prev_val[\"z\"])-prev_val[\"y\"]\n",
-    "\n",
-    "def z_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x\"]*prev_val[\"y\"]-coeffs[\"beta\"]*prev_val[\"z\"]\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
-    "\n",
-    "# Initial conditions [1,0,0]\n",
-    "ode_init = {\"x\":1, \"y\":0, \"z\":0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"sigma\": 10., \"rho\": 28., \"beta\": 2.7}\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 9.1793e-01,  2.6634e-01,  1.2636e-03],\n",
-       "        [ 8.6792e-01,  5.1173e-01,  4.6540e-03],\n",
-       "        ...,\n",
-       "        [-5.6997e+00, -5.8341e+00,  2.3410e+01],\n",
-       "        [-5.7226e+00, -6.0452e+00,  2.3121e+01],\n",
-       "        [-5.7641e+00, -6.2715e+00,  2.2854e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "<ipython-input-6-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n",
-      "  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:07.933403</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mbdbfe0d7d8\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#mbdbfe0d7d8\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"md775802c18\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md775802c18\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#pc7ad1ff173)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pc7ad1ff173\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:09.303618</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#pfd544c78f9)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pfd544c78f9\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,0], result_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Euler's method for training"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:25: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
-      "  self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_train_coeffs = {\"sigma\": 20*torch.rand(()), \"rho\": 20*torch.rand(()), \"beta\": 20*torch.rand(())} # Start with arbitrary values\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "tags": [
-     "outputPrepend"
-    ]
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ameter containing:\n",
-      "tensor(16.9669, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.8215, requires_grad=True)}\n",
-      "Epoch: 24\t Loss: tensor(307.4054, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.5103, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.8939, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.7227, requires_grad=True)}\n",
-      "Epoch: 25\t Loss: tensor(305.5780, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.6012, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.8234, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.6239, requires_grad=True)}\n",
-      "Epoch: 26\t Loss: tensor(303.7665, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.6915, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.7555, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.5253, requires_grad=True)}\n",
-      "Epoch: 27\t Loss: tensor(301.9700, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.7812, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.6904, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.4266, requires_grad=True)}\n",
-      "Epoch: 28\t Loss: tensor(300.1871, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.8703, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.6282, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.3281, requires_grad=True)}\n",
-      "Epoch: 29\t Loss: tensor(298.4171, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(16.9587, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.5690, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.2296, requires_grad=True)}\n",
-      "Epoch: 30\t Loss: tensor(296.6586, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.0466, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.5130, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.1311, requires_grad=True)}\n",
-      "Epoch: 31\t Loss: tensor(294.9107, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.1339, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.4602, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(8.0326, requires_grad=True)}\n",
-      "Epoch: 32\t Loss: tensor(293.1724, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.2206, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.4108, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.9342, requires_grad=True)}\n",
-      "Epoch: 33\t Loss: tensor(291.4423, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.3068, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.3649, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.8359, requires_grad=True)}\n",
-      "Epoch: 34\t Loss: tensor(289.7193, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.3924, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.3227, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.7375, requires_grad=True)}\n",
-      "Epoch: 35\t Loss: tensor(288.0017, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.4775, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.2841, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.6392, requires_grad=True)}\n",
-      "Epoch: 36\t Loss: tensor(286.2880, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.5621, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.2494, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.5408, requires_grad=True)}\n",
-      "Epoch: 37\t Loss: tensor(284.5766, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.6462, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.2186, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.4425, requires_grad=True)}\n",
-      "Epoch: 38\t Loss: tensor(282.8662, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.7299, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.1918, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.3441, requires_grad=True)}\n",
-      "Epoch: 39\t Loss: tensor(281.1555, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.8132, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.1691, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.2457, requires_grad=True)}\n",
-      "Epoch: 40\t Loss: tensor(279.4431, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.8960, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.1505, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.1473, requires_grad=True)}\n",
-      "Epoch: 41\t Loss: tensor(277.7280, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(17.9786, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.1362, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(7.0488, requires_grad=True)}\n",
-      "Epoch: 42\t Loss: tensor(276.0083, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.0610, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.1262, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.9502, requires_grad=True)}\n",
-      "Epoch: 43\t Loss: tensor(274.2825, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.1431, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.1205, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.8516, requires_grad=True)}\n",
-      "Epoch: 44\t Loss: tensor(272.5486, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.2251, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.1192, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.7529, requires_grad=True)}\n",
-      "Epoch: 45\t Loss: tensor(270.8046, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.3069, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.1221, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.6541, requires_grad=True)}\n",
-      "Epoch: 46\t Loss: tensor(269.0491, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.3887, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.1294, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.5552, requires_grad=True)}\n",
-      "Epoch: 47\t Loss: tensor(267.2812, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.4704, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.1411, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.4561, requires_grad=True)}\n",
-      "Epoch: 48\t Loss: tensor(265.5007, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.5522, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.1571, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.3569, requires_grad=True)}\n",
-      "Epoch: 49\t Loss: tensor(263.7072, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.6343, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.1775, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.2576, requires_grad=True)}\n",
-      "Epoch: 50\t Loss: tensor(261.9002, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.7168, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.2021, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.1581, requires_grad=True)}\n",
-      "Epoch: 51\t Loss: tensor(260.0781, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.7998, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.2309, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.0585, requires_grad=True)}\n",
-      "Epoch: 52\t Loss: tensor(258.2383, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.8833, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.2637, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.9587, requires_grad=True)}\n",
-      "Epoch: 53\t Loss: tensor(256.3786, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(18.9673, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.3005, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.8587, requires_grad=True)}\n",
-      "Epoch: 54\t Loss: tensor(254.4987, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(19.0520, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.3409, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.7585, requires_grad=True)}\n",
-      "Epoch: 55\t Loss: tensor(252.6027, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(19.1376, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.3851, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.6581, requires_grad=True)}\n",
-      "Epoch: 56\t Loss: tensor(250.6988, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(19.2247, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.4327, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.5576, requires_grad=True)}\n",
-      "Epoch: 57\t Loss: tensor(248.7966, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(19.3138, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.4836, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.4571, requires_grad=True)}\n",
-      "Epoch: 58\t Loss: tensor(246.8992, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(19.4053, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.5371, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.3565, requires_grad=True)}\n",
-      "Epoch: 59\t Loss: tensor(244.9998, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(19.4993, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.5927, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.2560, requires_grad=True)}\n",
-      "Epoch: 60\t Loss: tensor(243.0940, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(19.5959, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.6496, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.1554, requires_grad=True)}\n",
-      "Epoch: 61\t Loss: tensor(241.2160, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(19.6965, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.7071, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(5.0552, requires_grad=True)}\n",
-      "Epoch: 62\t Loss: tensor(239.4419, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(19.8034, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.7632, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.9557, requires_grad=True)}\n",
-      "Epoch: 63\t Loss: tensor(237.7399, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(19.9153, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.8171, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.8565, requires_grad=True)}\n",
-      "Epoch: 64\t Loss: tensor(235.9082, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.0322, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.8676, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.7578, requires_grad=True)}\n",
-      "Epoch: 65\t Loss: tensor(235.4820, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.1639, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.8481, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.6737, requires_grad=True)}\n",
-      "Epoch: 66\t Loss: tensor(87.1589, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.1819, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.9130, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.5687, requires_grad=True)}\n",
-      "Epoch: 67\t Loss: tensor(72.1098, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.1713, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(17.0075, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.4549, requires_grad=True)}\n",
-      "Epoch: 68\t Loss: tensor(68.1910, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.1643, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(17.0997, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.3467, requires_grad=True)}\n",
-      "Epoch: 69\t Loss: tensor(67.0227, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.1610, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(17.1825, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.2438, requires_grad=True)}\n",
-      "Epoch: 70\t Loss: tensor(65.9678, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.1574, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(17.2545, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.1441, requires_grad=True)}\n",
-      "Epoch: 71\t Loss: tensor(64.5484, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.1486, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(17.3158, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.0448, requires_grad=True)}\n",
-      "Epoch: 72\t Loss: tensor(62.6232, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.1309, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(17.3684, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.9442, requires_grad=True)}\n",
-      "Epoch: 73\t Loss: tensor(60.3717, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.1065, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(17.4169, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.8431, requires_grad=True)}\n",
-      "Epoch: 74\t Loss: tensor(58.5561, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.0881, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(17.4682, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.7467, requires_grad=True)}\n",
-      "Epoch: 75\t Loss: tensor(58.1403, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.0962, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(17.5276, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.6645, requires_grad=True)}\n",
-      "Epoch: 76\t Loss: tensor(58.9824, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.1406, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(17.5961, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.6040, requires_grad=True)}\n",
-      "Epoch: 77\t Loss: tensor(59.8995, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.2166, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(17.6720, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5671, requires_grad=True)}\n",
-      "Epoch: 78\t Loss: tensor(60.1414, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.3171, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(17.7531, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5523, requires_grad=True)}\n",
-      "Epoch: 79\t Loss: tensor(59.5519, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.4366, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(17.8379, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5577, requires_grad=True)}\n",
-      "Epoch: 80\t Loss: tensor(58.1238, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.5706, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(17.9256, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5811, requires_grad=True)}\n",
-      "Epoch: 81\t Loss: tensor(56.0462, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.7143, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.0151, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.6173, requires_grad=True)}\n",
-      "Epoch: 82\t Loss: tensor(54.1216, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.8597, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.1039, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.6568, requires_grad=True)}\n",
-      "Epoch: 83\t Loss: tensor(53.4646, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(20.9949, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.1881, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.6870, requires_grad=True)}\n",
-      "Epoch: 84\t Loss: tensor(54.0363, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(21.1101, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.2645, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.6989, requires_grad=True)}\n",
-      "Epoch: 85\t Loss: tensor(54.6685, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(21.2017, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.3316, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.6902, requires_grad=True)}\n",
-      "Epoch: 86\t Loss: tensor(54.5350, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(21.2711, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.3899, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.6623, requires_grad=True)}\n",
-      "Epoch: 87\t Loss: tensor(53.5211, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(21.3234, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.4416, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.6196, requires_grad=True)}\n",
-      "Epoch: 88\t Loss: tensor(52.1546, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(21.3693, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.4895, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5702, requires_grad=True)}\n",
-      "Epoch: 89\t Loss: tensor(51.5029, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(21.4250, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.5349, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5270, requires_grad=True)}\n",
-      "Epoch: 90\t Loss: tensor(52.0075, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(21.5022, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.5770, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5016, requires_grad=True)}\n",
-      "Epoch: 91\t Loss: tensor(52.6058, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(21.6020, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.6143, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.4983, requires_grad=True)}\n",
-      "Epoch: 92\t Loss: tensor(52.3063, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(21.7194, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.6467, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5139, requires_grad=True)}\n",
-      "Epoch: 93\t Loss: tensor(51.2853, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(21.8464, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.6755, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5399, requires_grad=True)}\n",
-      "Epoch: 94\t Loss: tensor(50.5587, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(21.9722, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.7019, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5641, requires_grad=True)}\n",
-      "Epoch: 95\t Loss: tensor(50.7093, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(22.0866, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.7263, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5755, requires_grad=True)}\n",
-      "Epoch: 96\t Loss: tensor(51.0912, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(22.1849, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.7484, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5699, requires_grad=True)}\n",
-      "Epoch: 97\t Loss: tensor(50.9580, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(22.2685, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.7683, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5488, requires_grad=True)}\n",
-      "Epoch: 98\t Loss: tensor(50.3099, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(22.3433, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.7867, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.5183, requires_grad=True)}\n",
-      "Epoch: 99\t Loss: tensor(49.7464, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(22.4191, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.8036, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.4880, requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit(\n",
-    "    result,\n",
-    "    torch.optim.Adam,\n",
-    "    {\"lr\": 0.1},\n",
-    "    max_epochs=100,\n",
-    "    # scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    # scheduler_params={\"milestones\": [10,50],\"gamma\": 0.5}\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'sigma': Parameter containing:\n",
-       " tensor(22.4191, requires_grad=True),\n",
-       " 'rho': Parameter containing:\n",
-       " tensor(18.8036, requires_grad=True),\n",
-       " 'beta': Parameter containing:\n",
-       " tensor(3.4880, requires_grad=True)}"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs\n",
-    "\n",
-    "# The parameters are far off"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Predictions for nt = 10000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "results_test = ode_solver_train(10000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 7.7581e-01,  1.8804e-01,  0.0000e+00],\n",
-       "        [ 6.4404e-01,  3.3203e-01,  1.4588e-03],\n",
-       "        ...,\n",
-       "        [-7.8803e+00, -7.8803e+00,  1.7804e+01],\n",
-       "        [-7.8803e+00, -7.8803e+00,  1.7804e+01],\n",
-       "        [-7.8803e+00, -7.8803e+00,  1.7804e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "<ipython-input-12-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n",
-      "  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:31:33.456530</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m7a72b34c5f\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"28.277999\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −15 -->\n      <g transform=\"translate(17.725655 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"79.267612\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −10 -->\n      <g transform=\"translate(68.715269 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"130.257226\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −5 -->\n      <g transform=\"translate(122.886132 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"181.246839\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0 -->\n      <g transform=\"translate(178.065589 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"232.236453\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 5 -->\n      <g transform=\"translate(229.055203 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"283.226066\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(276.863566 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"334.21568\" xlink:href=\"#m7a72b34c5f\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 15 -->\n      <g transform=\"translate(327.85318 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"md74d42768b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"225.481893\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 5 -->\n      <g transform=\"translate(13.5625 229.281112)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"189.747787\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 193.547005)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"154.01368\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 15 -->\n      <g transform=\"translate(7.2 157.812899)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"118.279573\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 122.078792)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"82.545467\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 25 -->\n      <g transform=\"translate(7.2 86.344686)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"46.81136\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 50.610579)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#md74d42768b\" y=\"11.077254\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 35 -->\n      <g transform=\"translate(7.2 14.876472)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pb5baa9df20)\" d=\"M 191.444762 261.216 \nL 186.817205 261.173084 \nL 187.067773 261.129719 \nL 195.174914 260.496629 \nL 200.493246 259.832074 \nL 205.120792 259.080593 \nL 210.843938 257.926326 \nL 217.903293 256.157073 \nL 222.019667 254.947599 \nL 226.576958 253.454232 \nL 231.614201 251.612943 \nL 237.170703 249.34666 \nL 243.284554 246.563371 \nL 249.990513 243.154369 \nL 257.317017 238.992973 \nL 265.282058 233.934179 \nL 273.887722 227.815988 \nL 283.113007 220.463389 \nL 292.904852 211.696347 \nL 303.167177 201.343351 \nL 313.748371 189.262193 \nL 324.428008 175.369213 \nL 334.904488 159.677097 \nL 344.786595 142.338727 \nL 353.593168 123.690821 \nL 360.766286 104.285783 \nL 365.703415 84.895793 \nL 367.812273 66.471635 \nL 366.587269 50.045333 \nL 361.698436 36.581957 \nL 353.074741 26.809754 \nL 340.957433 21.078234 \nL 325.90144 19.296 \nL 308.715174 20.974799 \nL 290.349876 25.364271 \nL 271.767058 31.625237 \nL 253.818901 38.982461 \nL 237.167698 46.818708 \nL 222.253464 54.704328 \nL 209.303074 62.379655 \nL 198.36582 69.714686 \nL 189.359836 76.665392 \nL 182.117872 83.237333 \nL 176.426052 89.459858 \nL 172.053338 95.370072 \nL 168.771994 101.004181 \nL 166.370451 106.39355 \nL 164.660358 111.563643 \nL 163.479476 116.534376 \nL 162.691764 121.320988 \nL 162.185744 125.935108 \nL 161.679633 134.679593 \nL 161.026508 153.966202 \nL 160.468877 160.724171 \nL 159.604778 166.963157 \nL 159.043435 169.89156 \nL 158.389612 172.693647 \nL 157.638762 175.369643 \nL 156.786152 177.919227 \nL 155.826676 180.341479 \nL 154.754724 182.634771 \nL 153.5641 184.79667 \nL 152.247946 186.823841 \nL 150.798713 188.711897 \nL 149.208144 190.455261 \nL 147.46728 192.047002 \nL 145.566488 193.478634 \nL 143.495512 194.739914 \nL 141.243558 195.8186 \nL 138.799422 196.700223 \nL 136.151645 197.367798 \nL 133.28877 197.801579 \nL 130.199627 197.978767 \nL 126.87375 197.873307 \nL 123.301896 197.455673 \nL 119.476697 196.692801 \nL 115.393477 195.548138 \nL 111.05128 193.981902 \nL 106.454067 191.951656 \nL 101.612185 189.413297 \nL 96.544034 186.322537 \nL 91.27795 182.637089 \nL 85.854283 178.319604 \nL 80.327478 173.341503 \nL 74.768102 167.687724 \nL 69.264491 161.362254 \nL 63.923793 154.394237 \nL 58.871845 146.844081 \nL 54.251602 138.808814 \nL 50.21944 130.425536 \nL 46.939088 121.871823 \nL 44.572952 113.361704 \nL 43.270952 105.136441 \nL 43.157727 97.449909 \nL 44.319302 90.549572 \nL 46.791124 84.655252 \nL 50.549416 79.938992 \nL 55.507844 76.50957 \nL 61.520555 74.404543 \nL 68.391862 73.591493 \nL 75.891367 73.977632 \nL 83.772317 75.42569 \nL 91.790561 77.772377 \nL 99.721339 80.846194 \nL 107.372008 84.481859 \nL 114.589732 88.5303 \nL 121.264137 92.863884 \nL 127.325747 97.377948 \nL 132.741376 101.989642 \nL 137.507778 106.63525 \nL 141.644652 111.266927 \nL 145.187857 115.849449 \nL 148.183403 120.357352 \nL 150.682471 124.772493 \nL 152.737542 129.082167 \nL 154.399588 133.27765 \nL 155.716175 137.353135 \nL 156.73032 141.304874 \nL 157.479925 145.130617 \nL 157.997623 148.829178 \nL 158.310928 152.400074 \nL 158.442543 155.843284 \nL 158.410784 159.159059 \nL 158.230043 162.347756 \nL 157.911239 165.409693 \nL 157.462254 168.345055 \nL 156.888326 171.153767 \nL 156.192384 173.835406 \nL 155.375354 176.389093 \nL 154.436404 178.813397 \nL 153.373144 181.106233 \nL 152.181808 183.26473 \nL 150.857384 185.285113 \nL 149.393751 187.16257 \nL 147.78377 188.891082 \nL 146.019397 190.463255 \nL 144.091787 191.870133 \nL 141.991398 193.100988 \nL 139.708143 194.143094 \nL 137.231545 194.981484 \nL 134.55096 195.598697 \nL 131.655835 195.974551 \nL 128.53608 196.085886 \nL 125.182491 195.906394 \nL 121.587315 195.406487 \nL 117.744946 194.553279 \nL 113.652788 193.310742 \nL 109.312294 191.640095 \nL 104.730208 189.500512 \nL 99.920016 186.850245 \nL 94.903615 183.64832 \nL 89.713127 179.856853 \nL 84.392852 175.444152 \nL 79.001163 170.388632 \nL 73.612294 164.68351 \nL 68.317598 158.342186 \nL 63.226096 151.40392 \nL 58.463841 143.939226 \nL 54.171687 136.054233 \nL 50.501012 127.892902 \nL 47.607181 119.635906 \nL 45.640598 111.495309 \nL 44.735777 103.704277 \nL 44.999201 96.502126 \nL 46.497298 90.115995 \nL 49.246238 84.741389 \nL 53.20541 80.524682 \nL 58.276119 77.550784 \nL 64.306268 75.838138 \nL 71.10086 75.341979 \nL 78.436967 75.964775 \nL 86.080984 77.571517 \nL 93.805781 80.006658 \nL 101.405377 83.109769 \nL 108.705607 86.727973 \nL 115.570203 90.724218 \nL 121.902363 94.98148 \nL 127.642696 99.403709 \nL 132.764639 103.914638 \nL 137.268429 108.455284 \nL 141.174682 112.98099 \nL 144.51822 117.458577 \nL 147.342663 121.863739 \nL 149.695966 126.178934 \nL 151.626978 130.391661 \nL 153.182948 134.493142 \nL 154.407838 138.477337 \nL 155.341327 142.340212 \nL 156.018314 146.079136 \nL 156.468797 149.692521 \nL 156.718005 153.179447 \nL 156.786701 156.53943 \nL 156.691557 159.772231 \nL 156.445575 162.877686 \nL 156.058505 165.855572 \nL 155.537238 168.705471 \nL 154.886162 171.426669 \nL 154.107483 174.018047 \nL 153.201487 176.477957 \nL 152.166782 178.804128 \nL 151.000488 180.993528 \nL 149.698409 183.042257 \nL 148.25517 184.945382 \nL 146.664351 186.696809 \nL 144.918605 188.289089 \nL 143.009779 189.713258 \nL 140.929048 190.958623 \nL 138.667067 192.012555 \nL 136.214156 192.860263 \nL 133.560515 193.484564 \nL 130.696527 193.865673 \nL 127.613092 193.981002 \nL 124.3021 193.804992 \nL 120.756976 193.309045 \nL 116.973374 192.461549 \nL 112.950018 191.228097 \nL 108.689726 189.571907 \nL 104.200597 187.45457 \nL 99.497405 184.837237 \nL 94.603175 181.682279 \nL 89.550857 177.955589 \nL 84.385149 173.629571 \nL 79.164191 168.686878 \nL 73.961099 163.124825 \nL 68.865026 156.96037 \nL 63.981446 150.235232 \nL 59.431324 143.020709 \nL 55.348735 135.421364 \nL 51.876674 127.576624 \nL 49.160703 119.659297 \nL 47.340537 111.870229 \nL 46.539886 104.428436 \nL 46.855351 97.557311 \nL 48.34557 91.467829 \nL 51.022173 86.340975 \nL 54.844157 82.312191 \nL 59.717029 79.460363 \nL 65.49732 77.803511 \nL 72.002267 77.301682 \nL 79.023473 77.866311 \nL 86.3426 79.37383 \nL 93.746952 81.680863 \nL 101.042854 84.638417 \nL 108.065558 88.103321 \nL 114.684945 91.945967 \nL 120.807233 96.054522 \nL 126.373349 100.33617 \nL 131.354928 104.716278 \nL 135.748947 109.136327 \nL 139.571879 113.551427 \nL 142.854054 117.927663 \nL 145.634603 122.239805 \nL 147.957266 126.469258 \nL 149.867105 130.602513 \nL 151.408081 134.629811 \nL 152.621393 138.544213 \nL 153.544449 142.340853 \nL 154.210323 146.01635 \nL 154.647574 149.568386 \nL 154.880319 152.995388 \nL 154.928465 156.296244 \nL 154.808037 159.470103 \nL 154.531546 162.5162 \nL 154.108377 165.433705 \nL 153.545142 168.221581 \nL 152.846018 170.878479 \nL 152.013043 173.4026 \nL 151.046385 175.791585 \nL 149.944562 178.04238 \nL 148.704638 180.151129 \nL 147.322405 182.11302 \nL 145.792521 183.922135 \nL 144.108668 185.571299 \nL 142.263683 187.051903 \nL 140.249702 188.353723 \nL 138.058344 189.464715 \nL 135.680868 190.37082 \nL 133.108435 191.055755 \nL 130.332365 191.500816 \nL 127.344503 191.684711 \nL 124.137627 191.583422 \nL 120.70601 191.17015 \nL 117.046043 190.415375 \nL 113.15704 189.287043 \nL 109.042178 187.751013 \nL 104.7096 185.77175 \nL 100.173691 183.313415 \nL 95.4565 180.341418 \nL 90.589307 176.82451 \nL 85.614219 172.737492 \nL 80.585728 168.064594 \nL 75.572089 162.803436 \nL 70.65623 156.969496 \nL 65.936047 150.600705 \nL 61.523647 143.761785 \nL 57.543284 136.547597 \nL 54.127602 129.08473 \nL 51.412097 121.530477 \nL 49.527626 114.068346 \nL 48.591421 106.899755 \nL 48.697079 100.23208 \nL 49.904771 94.263946 \nL 52.232744 89.169562 \nL 55.651762 85.084235 \nL 60.083476 82.093679 \nL 65.403615 80.228701 \nL 71.44982 79.466334 \nL 78.033233 79.73685 \nL 84.95237 80.934989 \nL 92.007265 82.933296 \nL 99.012209 85.595183 \nL 105.805571 88.785931 \nL 112.256075 92.380743 \nL 118.265396 96.269573 \nL 123.767616 100.359167 \nL 128.726253 104.573025 \nL 133.129783 108.850011 \nL 136.986492 113.142264 \nL 140.319264 117.412966 \nL 143.160806 121.634144 \nL 145.549546 125.784766 \nL 147.526334 129.849169 \nL 149.131914 133.815753 \nL 150.405146 137.676011 \nL 151.381827 141.4237 \nL 152.093991 145.054281 \nL 152.569612 148.564421 \nL 152.832545 151.951639 \nL 152.902678 155.214027 \nL 152.796174 158.349997 \nL 152.525786 161.358097 \nL 152.1012 164.236854 \nL 151.529358 166.984606 \nL 150.814777 169.599383 \nL 149.959843 172.078765 \nL 148.965065 174.419753 \nL 147.829307 176.618647 \nL 146.549989 178.670908 \nL 145.12327 180.571006 \nL 143.544224 182.312285 \nL 141.806988 183.886796 \nL 139.904933 185.285113 \nL 137.83084 186.496174 \nL 135.577087 187.507092 \nL 133.135871 188.302959 \nL 130.499478 188.866682 \nL 127.660615 189.178836 \nL 124.6128 189.217536 \nL 121.350835 188.958381 \nL 117.871407 188.374504 \nL 114.173787 187.43674 \nL 110.260675 186.113995 \nL 106.13917 184.373848 \nL 101.82191 182.183467 \nL 97.328327 179.510947 \nL 92.686036 176.32709 \nL 87.932272 172.607714 \nL 83.115272 168.336555 \nL 78.295568 163.508694 \nL 73.54691 158.134422 \nL 68.956621 152.243339 \nL 64.625186 145.888296 \nL 60.664711 139.148633 \nL 57.195996 132.132142 \nL 54.344004 124.974866 \nL 52.231723 117.8382 \nL 50.972485 110.902653 \nL 50.661308 104.358357 \nL 51.365979 98.392866 \nL 53.118912 93.177408 \nL 55.911131 88.853421 \nL 59.689292 85.521505 \nL 64.356772 83.234443 \nL 69.778873 81.995587 \nL 75.791778 81.762584 \nL 82.214137 82.455595 \nL 88.859724 83.96828 \nL 95.549543 86.179551 \nL 102.121981 88.964381 \nL 108.44014 92.202443 \nL 114.395903 95.783992 \nL 119.910975 99.61317 \nL 124.935405 103.609143 \nL 129.444345 107.705594 \nL 133.433768 111.849345 \nL 136.915821 115.998523 \nL 139.914294 120.120587 \nL 142.46057 124.190551 \nL 144.590194 128.189332 \nL 146.340151 132.102494 \nL 147.74684 135.919104 \nL 148.844622 139.630928 \nL 149.664907 143.231752 \nL 150.235621 146.716831 \nL 150.580996 150.082477 \nL 150.721553 153.325747 \nL 150.674268 156.444166 \nL 150.452782 159.435499 \nL 150.067698 162.297565 \nL 149.526873 165.028059 \nL 148.835711 167.624427 \nL 147.997447 170.083695 \nL 147.013401 172.402349 \nL 145.883213 174.576188 \nL 144.605067 176.600197 \nL 143.175871 178.468385 \nL 141.591461 180.173662 \nL 139.846765 181.707647 \nL 137.935992 183.060537 \nL 135.852834 184.22093 \nL 133.590669 185.175652 \nL 131.142825 185.909605 \nL 128.502853 186.405634 \nL 125.664905 186.644403 \nL 122.624126 186.604333 \nL 119.377181 186.261624 \nL 115.92285 185.590363 \nL 112.262752 184.562801 \nL 108.402177 183.149803 \nL 104.351045 181.321583 \nL 100.125015 179.048724 \nL 95.74666 176.30361 \nL 91.246721 173.062276 \nL 86.665399 169.306756 \nL 82.05351 165.027909 \nL 77.473472 160.228653 \nL 72.999851 154.927521 \nL 68.719348 149.162202 \nL 64.729901 142.992779 \nL 61.138732 136.504058 \nL 58.059056 129.806476 \nL 55.605401 123.034915 \nL 53.887537 116.344898 \nL 53.003247 109.905919 \nL 53.030488 103.892133 \nL 54.019717 98.470989 \nL 55.987311 93.791138 \nL 58.911175 89.971216 \nL 62.729327 87.091184 \nL 67.342062 85.187548 \nL 72.617668 84.253287 \nL 78.40109 84.242177 \nL 84.524487 85.076601 \nL 90.818391 86.657335 \nL 97.12202 88.873663 \nL 103.291705 91.6125 \nL 109.206762 94.765475 \nL 114.772552 98.233814 \nL 119.921007 101.930985 \nL 124.60908 105.783582 \nL 128.815737 109.730891 \nL 132.538147 113.723742 \nL 135.787586 117.722959 \nL 138.5855 121.697681 \nL 140.95996 125.623833 \nL 142.942673 129.482728 \nL 144.566622 133.259943 \nL 145.864261 136.944314 \nL 146.866257 140.527212 \nL 147.600661 144.001903 \nL 148.092433 147.363051 \nL 148.36323 150.606342 \nL 148.431391 153.728142 \nL 148.312054 156.725261 \nL 148.01735 159.594701 \nL 147.556641 162.333483 \nL 146.936794 164.938466 \nL 146.162428 167.406193 \nL 145.236181 169.732746 \nL 144.158941 171.913599 \nL 142.930076 173.943476 \nL 141.547638 175.816203 \nL 140.008573 177.524575 \nL 138.308906 179.060195 \nL 136.44395 180.413324 \nL 134.40851 181.572729 \nL 132.197122 182.525549 \nL 129.804305 183.257144 \nL 127.224869 183.750999 \nL 124.454275 183.98863 \nL 121.489048 183.949569 \nL 118.327275 183.611419 \nL 114.969197 182.950006 \nL 111.417898 181.939696 \nL 107.680093 180.553878 \nL 103.767034 178.765714 \nL 99.695513 176.549175 \nL 95.488924 173.880403 \nL 91.178399 170.739492 \nL 86.80389 167.11268 \nL 82.415182 162.994917 \nL 78.072592 158.3928 \nL 73.84736 153.327676 \nL 69.821422 147.838681 \nL 66.086394 141.985412 \nL 62.741571 135.849692 \nL 59.890775 129.536041 \nL 57.638 123.170249 \nL 56.081872 116.895651 \nL 55.309211 110.867047 \nL 55.388182 105.242317 \nL 56.361636 100.172511 \nL 58.241594 95.791394 \nL 61.005599 92.205838 \nL 64.595737 89.488443 \nL 68.920666 87.673521 \nL 73.860693 86.756899 \nL 79.275364 86.699579 \nL 85.012639 87.434247 \nL 90.918602 88.873622 \nL 96.846487 90.919121 \nL 102.664133 93.468835 \nL 108.259338 96.423895 \nL 113.542763 99.692955 \nL 118.448668 103.19491 \nL 122.933791 106.85991 \nL 126.974934 110.629355 \nL 130.565714 114.455003 \nL 133.71306 118.297785 \nL 136.433694 122.126418 \nL 138.750979 125.916078 \nL 140.692169 129.647137 \nL 142.286209 133.304136 \nL 143.562027 136.874902 \nL 144.547285 140.349757 \nL 145.267548 143.720986 \nL 145.74577 146.982324 \nL 146.002023 150.128538 \nL 146.053432 153.155142 \nL 145.91423 156.058095 \nL 145.595908 158.833587 \nL 145.107396 161.477835 \nL 144.455309 163.9869 \nL 143.644168 166.356529 \nL 142.676639 168.58199 \nL 141.55376 170.657949 \nL 140.275159 172.57829 \nL 138.839267 174.336008 \nL 137.243527 175.923047 \nL 135.484603 177.330156 \nL 133.558599 178.546759 \nL 131.461306 179.560832 \nL 129.188438 180.358771 \nL 126.735959 180.925302 \nL 124.100403 181.24344 \nL 121.27927 181.294449 \nL 118.271504 181.05793 \nL 115.078025 180.511955 \nL 111.702354 179.633392 \nL 108.151322 178.398339 \nL 104.43589 176.782791 \nL 100.572023 174.763573 \nL 96.581633 172.319565 \nL 92.493569 169.433242 \nL 88.344565 166.092589 \nL 84.180078 162.293339 \nL 80.05494 158.041483 \nL 76.033661 153.355961 \nL 72.190252 148.271269 \nL 68.607349 142.839792 \nL 65.374526 137.133437 \nL 62.585643 131.244092 \nL 60.335163 125.282664 \nL 58.713455 119.376172 \nL 57.801311 113.662837 \nL 57.664016 108.285245 \nL 58.34552 103.382029 \nL 59.863427 99.078953 \nL 62.205395 95.480337 \nL 65.327717 92.662111 \nL 69.156383 90.667443 \nL 73.590752 89.505442 \nL 78.50949 89.153177 \nL 83.778162 89.560417 \nL 89.257546 90.656197 \nL 94.811757 92.356234 \nL 100.315309 94.570013 \nL 105.658497 97.206941 \nL 110.750811 100.18099 \nL 115.522432 103.413736 \nL 119.923953 106.836042 \nL 123.924814 110.388569 \nL 127.510814 114.02144 \nL 130.681165 117.693393 \nL 133.445433 121.370757 \nL 135.820633 125.026284 \nL 137.828613 128.638053 \nL 139.49389 132.188481 \nL 140.841898 135.663432 \nL 141.897639 139.051522 \nL 142.684765 142.343484 \nL 143.224917 145.531669 \nL 143.537365 148.609644 \nL 143.638829 151.571832 \nL 143.543441 154.413232 \nL 143.262822 157.129155 \nL 142.806217 159.715013 \nL 142.18068 162.166157 \nL 141.391279 164.477661 \nL 140.441299 166.6442 \nL 139.332466 168.659874 \nL 138.065161 170.518083 \nL 136.63863 172.211365 \nL 135.051205 173.731289 \nL 133.300519 175.068298 \nL 131.38374 176.211605 \nL 129.297825 177.149082 \nL 127.039793 177.867175 \nL 124.607038 178.350834 \nL 121.997692 178.583502 \nL 119.211021 178.547175 \nL 116.247905 178.222493 \nL 113.111384 177.588997 \nL 109.807258 176.62547 \nL 106.344787 175.310489 \nL 102.737439 173.62315 \nL 99.003719 171.544056 \nL 95.168012 169.05657 \nL 91.261397 166.148355 \nL 87.322444 162.813203 \nL 83.397836 159.053122 \nL 79.542727 154.880608 \nL 75.82076 150.320912 \nL 72.303544 145.414166 \nL 69.069515 140.217068 \nL 66.20201 134.80379 \nL 63.786469 129.265742 \nL 61.906793 123.70996 \nL 60.640922 118.255787 \nL 60.055866 113.0299 \nL 60.202614 108.159876 \nL 61.111345 103.766805 \nL 62.787554 99.957679 \nL 65.209708 96.818499 \nL 68.328782 94.409039 \nL 72.069967 92.759889 \nL 76.336571 91.872194 \nL 81.015586 91.719998 \nL 85.984478 92.254679 \nL 91.118344 93.410751 \nL 96.296705 95.112069 \nL 101.409257 97.277757 \nL 106.360187 99.827198 \nL 111.07077 102.683825 \nL 115.480413 105.777653 \nL 119.546239 109.046604 \nL 123.241656 112.436958 \nL 126.55417 115.903116 \nL 129.482867 119.406938 \nL 132.035781 122.916894 \nL 134.227417 126.407098 \nL 136.07653 129.856408 \nL 137.604255 133.247565 \nL 138.83259 136.566476 \nL 139.783253 139.80154 \nL 140.476827 142.943119 \nL 140.932216 145.983075 \nL 141.166289 148.914396 \nL 141.193713 151.730843 \nL 141.026908 154.426721 \nL 140.676105 156.996589 \nL 140.149452 159.435104 \nL 139.45317 161.736786 \nL 138.591748 163.895883 \nL 137.568125 165.906192 \nL 136.383895 167.760939 \nL 135.03952 169.452612 \nL 133.534538 170.972856 \nL 131.867797 172.31234 \nL 130.037678 173.460649 \nL 128.042346 174.406197 \nL 125.880042 175.136156 \nL 123.549376 175.636417 \nL 121.049675 175.891592 \nL 118.381378 175.885083 \nL 115.546483 175.599217 \nL 112.549051 175.015483 \nL 109.395772 174.114913 \nL 106.096582 172.878571 \nL 102.665364 171.288289 \nL 99.120639 169.32755 \nL 95.486318 166.982656 \nL 91.792409 164.244092 \nL 88.075655 161.108177 \nL 84.379995 157.578864 \nL 80.756868 153.669683 \nL 77.265074 149.405681 \nL 73.970261 144.825163 \nL 70.943803 139.981053 \nL 68.261063 134.941509 \nL 65.998845 129.789668 \nL 64.232247 124.62211 \nL 63.030759 119.545952 \nL 62.454037 114.674592 \nL 62.547538 110.122237 \nL 63.338445 105.997651 \nL 64.832369 102.3977 \nL 67.011308 99.401487 \nL 69.83319 97.065733 \nL 73.233224 95.422076 \nL 77.12705 94.476501 \nL 81.415343 94.210974 \nL 85.989506 94.586862 \nL 90.737786 95.549585 \nL 95.5511 97.033822 \nL 100.32822 98.968619 \nL 104.979701 101.281786 \nL 109.430492 103.903474 \nL 113.621165 106.768675 \nL 117.507931 109.818678 \nL 121.061647 113.001805 \nL 124.26615 116.273415 \nL 127.116197 119.595543 \nL 129.615231 122.936264 \nL 131.773222 126.268984 \nL 133.604654 129.571592 \nL 135.126811 132.825794 \nL 136.358332 136.016378 \nL 137.318102 139.130653 \nL 138.024387 142.157932 \nL 138.49425 145.089068 \nL 138.74316 147.916094 \nL 138.784751 150.631894 \nL 138.630752 153.229931 \nL 138.290977 155.704011 \nL 137.773396 158.048046 \nL 137.084262 160.255896 \nL 136.228253 162.321188 \nL 135.208661 164.237161 \nL 134.027572 165.996528 \nL 132.686076 167.591343 \nL 131.18446 169.012881 \nL 129.52246 170.25154 \nL 127.699479 171.296754 \nL 125.71485 172.13691 \nL 123.568126 172.759323 \nL 121.259405 173.150247 \nL 118.789664 173.294904 \nL 116.161168 173.177605 \nL 113.377916 172.781965 \nL 110.446121 172.091176 \nL 107.37477 171.088458 \nL 104.176205 169.757637 \nL 100.866725 168.083889 \nL 97.467246 166.05468 \nL 94.003909 163.660924 \nL 90.508624 160.898307 \nL 87.019534 157.768819 \nL 83.581269 154.28235 \nL 80.244976 150.458372 \nL 77.067919 146.327461 \nL 74.11271 141.932577 \nL 71.445979 137.329798 \nL 69.136407 132.588415 \nL 67.252237 127.790039 \nL 65.858165 123.026641 \nL 65.011823 118.397404 \nL 64.76005 114.004564 \nL 65.135318 109.948381 \nL 66.152517 106.321712 \nL 67.806708 103.204711 \nL 70.07198 100.660327 \nL 72.901798 98.731009 \nL 76.230816 97.437123 \nL 79.978118 96.777154 \nL 84.051575 96.729635 \nL 88.352802 97.256328 \nL 92.782377 98.306361 \nL 97.244639 99.82056 \nL 101.651772 101.735578 \nL 105.926853 103.987526 \nL 110.00577 106.514734 \nL 113.838019 109.259746 \nL 117.386518 112.170517 \nL 120.626655 115.200904 \nL 123.544824 118.310762 \nL 126.13664 121.465605 \nL 128.405049 124.63611 \nL 130.358512 127.797523 \nL 132.009333 130.929014 \nL 133.372196 134.013055 \nL 134.462968 137.034854 \nL 135.297752 139.981857 \nL 135.892164 142.843269 \nL 136.260819 145.609709 \nL 136.416996 148.272823 \nL 136.372443 150.825032 \nL 136.137286 153.259246 \nL 135.720038 155.568671 \nL 135.127653 157.746579 \nL 134.36564 159.786155 \nL 133.438203 161.680345 \nL 132.348407 163.421685 \nL 131.09836 165.0022 \nL 129.689412 166.413283 \nL 128.122367 167.645603 \nL 126.397711 168.689018 \nL 124.515876 169.53252 \nL 122.477504 170.16423 \nL 120.283753 170.571389 \nL 117.936631 170.740426 \nL 115.439366 170.657097 \nL 112.796822 170.306666 \nL 110.015943 169.674219 \nL 107.10624 168.745064 \nL 104.080326 167.505274 \nL 100.954445 165.942377 \nL 97.749013 164.046224 \nL 94.489153 161.809987 \nL 91.205135 159.23134 \nL 87.932719 156.313774 \nL 84.713366 153.067989 \nL 81.594117 149.513254 \nL 78.627257 145.678684 \nL 75.869543 141.604276 \nL 73.380973 137.341426 \nL 71.22308 132.952935 \nL 69.456716 128.512167 \nL 68.139358 124.101333 \nL 67.322164 119.808848 \nL 67.046757 115.725729 \nL 67.342179 111.941453 \nL 68.222249 108.539336 \nL 69.683583 105.592128 \nL 71.70458 103.158105 \nL 74.245658 101.278174 \nL 77.250661 99.974336 \nL 80.649479 99.24955 \nL 84.361594 99.089122 \nL 88.300255 99.463101 \nL 92.376843 100.3296 \nL 96.505044 101.638345 \nL 100.604482 103.334264 \nL 104.603534 105.360611 \nL 108.441215 107.661605 \nL 112.068159 110.184301 \nL 115.446714 112.879899 \nL 118.550373 115.704437 \nL 121.362651 118.618997 \nL 123.8757 121.589624 \nL 126.088722 124.587023 \nL 128.00641 127.586057 \nL 129.637469 130.565286 \nL 130.99329 133.506427 \nL 132.086825 136.393861 \nL 132.931689 139.214146 \nL 133.541424 141.955655 \nL 133.92899 144.608136 \nL 134.106398 147.162471 \nL 134.084457 149.610324 \nL 133.872675 151.943931 \nL 133.479205 154.155856 \nL 132.910881 156.238828 \nL 132.17329 158.185547 \nL 131.27089 159.988528 \nL 130.207159 161.639989 \nL 128.984761 163.131709 \nL 127.605734 164.454951 \nL 126.071698 165.600356 \nL 124.384071 166.557906 \nL 122.544338 167.31688 \nL 120.554292 167.865854 \nL 118.416365 168.192743 \nL 116.133918 168.284906 \nL 113.711627 168.129296 \nL 111.155864 167.712684 \nL 108.475113 167.022011 \nL 105.680423 166.044797 \nL 102.785877 164.769708 \nL 99.809058 163.187237 \nL 96.771494 161.290532 \nL 93.699083 159.076344 \nL 90.622422 156.546096 \nL 87.57698 153.707054 \nL 84.603156 150.573469 \nL 81.746039 147.167712 \nL 79.054896 143.52123 \nL 76.582276 139.675176 \nL 74.382768 135.680662 \nL 72.51129 131.598374 \nL 71.020984 127.497507 \nL 69.960837 123.453947 \nL 69.373009 119.547724 \nL 69.290206 115.859727 \nL 69.733183 112.468051 \nL 70.708708 109.444139 \nL 72.208185 106.849169 \nL 74.207184 104.731041 \nL 76.665935 103.122227 \nL 79.530882 102.038783 \nL 82.737125 101.480547 \nL 86.211569 101.432428 \nL 89.876535 101.866604 \nL 93.653422 102.745289 \nL 97.466157 104.023731 \nL 101.244153 105.653129 \nL 104.924597 107.583237 \nL 108.453945 109.764547 \nL 111.788668 112.149824 \nL 114.895317 114.695244 \nL 117.750003 117.360989 \nL 120.337482 120.111508 \nL 122.649966 122.915435 \nL 124.685814 125.745399 \nL 126.44822 128.577652 \nL 127.943939 131.391667 \nL 129.182189 134.169721 \nL 130.173684 136.896454 \nL 130.929836 139.558504 \nL 131.462132 142.14411 \nL 131.781678 144.642801 \nL 131.898841 147.045138 \nL 131.82307 149.342417 \nL 131.562752 151.526446 \nL 131.125178 153.589366 \nL 130.516561 155.523455 \nL 129.74212 157.320977 \nL 128.806162 158.974053 \nL 127.712238 160.474538 \nL 126.4633 161.813913 \nL 125.061865 162.983214 \nL 123.510255 163.972976 \nL 121.810792 164.773191 \nL 119.966055 165.373331 \nL 117.97916 165.762366 \nL 115.854037 165.928868 \nL 113.595767 165.861133 \nL 111.210929 165.547412 \nL 108.707971 164.976184 \nL 106.097589 164.136553 \nL 103.393152 163.018724 \nL 100.611101 161.61458 \nL 97.771323 159.918415 \nL 94.897507 157.927714 \nL 92.017428 155.644087 \nL 89.163082 153.074212 \nL 86.370726 150.230849 \nL 83.680673 147.13375 \nL 81.136863 143.810477 \nL 78.786123 140.296963 \nL 76.6771 136.637728 \nL 74.85886 132.88565 \nL 73.379164 129.101115 \nL 72.28243 125.350631 \nL 71.607529 121.704742 \nL 71.385554 118.235462 \nL 71.637649 115.013198 \nL 72.373208 112.103586 \nL 73.588554 109.564369 \nL 75.266319 107.442629 \nL 77.375634 105.772786 \nL 79.873112 104.575329 \nL 82.70471 103.856595 \nL 85.808155 103.609484 \nL 89.115884 103.814938 \nL 92.558136 104.444044 \nL 96.065958 105.460462 \nL 99.573925 106.822874 \nL 103.022343 108.487373 \nL 106.358869 110.409452 \nL 109.539496 112.545655 \nL 112.528895 114.854719 \nL 115.300287 117.29842 \nL 117.834858 119.841932 \nL 120.120885 122.454051 \nL 122.152726 125.10705 \nL 123.929681 127.776557 \nL 125.454917 130.441198 \nL 126.734447 133.082311 \nL 127.776208 135.683538 \nL 128.589298 138.230539 \nL 129.183351 140.710623 \nL 129.568019 143.112449 \nL 129.752633 145.42578 \nL 129.745918 147.641209 \nL 129.555842 149.749944 \nL 129.189532 151.743609 \nL 128.653248 153.614087 \nL 127.952434 155.353348 \nL 127.091766 156.953329 \nL 126.075291 158.405818 \nL 124.906544 159.702356 \nL 123.588725 160.834177 \nL 122.124872 161.79215 \nL 120.518079 162.566752 \nL 118.77172 163.148108 \nL 116.889705 163.525999 \nL 114.876746 163.689979 \nL 112.738664 163.629531 \nL 110.482684 163.334239 \nL 108.117789 162.794105 \nL 105.655054 161.99988 \nL 103.108005 160.943536 \nL 100.49296 159.618781 \nL 97.829346 158.021703 \nL 95.139974 156.151485 \nL 92.451243 154.011192 \nL 89.793236 151.608583 \nL 87.199669 148.95694 \nL 84.707676 146.075824 \nL 82.357354 142.991702 \nL 80.191058 139.738358 \nL 78.252455 136.356974 \nL 76.585223 132.895846 \nL 75.231551 129.409595 \nL 74.230398 125.9579 \nL 73.615611 122.603711 \nL 73.414001 119.410986 \nL 73.64362 116.442173 \nL 74.31218 113.755531 \nL 75.416053 111.402478 \nL 76.939737 109.425355 \nL 78.856029 107.855649 \nL 81.126884 106.712922 \nL 83.704938 106.004549 \nL 86.535515 105.726207 \nL 89.559114 105.863013 \nL 92.713958 106.391219 \nL 95.938583 107.280155 \nL 99.174149 108.494311 \nL 102.366402 109.995301 \nL 105.467129 111.743661 \nL 108.435107 113.700296 \nL 111.236537 115.82757 \nL 113.845036 118.09015 \nL 116.241243 120.455417 \nL 118.412188 122.893734 \nL 120.350451 125.378467 \nL 122.053254 127.885868 \nL 123.521536 130.394892 \nL 124.759067 132.886945 \nL 125.771647 135.345559 \nL 126.56641 137.75615 \nL 127.151233 140.105699 \nL 127.534276 142.382497 \nL 127.723617 144.575925 \nL 127.726992 146.676182 \nL 127.551622 148.6741 \nL 127.20412 150.56099 \nL 126.690448 152.328441 \nL 126.015932 153.968199 \nL 125.185316 155.472051 \nL 124.202871 156.831716 \nL 123.072491 158.038763 \nL 121.797872 159.08457 \nL 120.382661 159.96027 \nL 118.830657 160.656757 \nL 117.146031 161.164707 \nL 115.333553 161.474653 \nL 113.398855 161.577086 \nL 111.348696 161.462616 \nL 109.191245 161.122197 \nL 106.936384 160.547405 \nL 104.596026 159.730798 \nL 102.184384 158.666343 \nL 99.71829 157.34993 \nL 97.217408 155.779938 \nL 94.704446 153.957893 \nL 92.205295 151.889139 \nL 89.748985 149.583538 \nL 87.367609 147.056125 \nL 85.095996 144.327696 \nL 82.971208 141.42524 \nL 81.031827 138.382149 \nL 79.317028 135.238102 \nL 77.865332 132.038712 \nL 76.713298 128.834592 \nL 75.893925 125.680145 \nL 75.435076 122.631914 \nL 75.357885 119.746566 \nL 75.675345 117.078695 \nL 76.391151 114.678614 \nL 77.498953 112.590175 \nL 78.982091 110.848999 \nL 80.813937 109.481094 \nL 82.958721 108.502122 \nL 85.372968 107.917277 \nL 88.007275 107.721774 \nL 90.808403 107.901846 \nL 93.721471 108.4362 \nL 96.692075 109.297601 \nL 99.668248 110.454641 \nL 102.602031 111.87335 \nL 105.450707 113.518711 \nL 108.177557 115.355839 \nL 110.752241 117.350983 \nL 113.150782 119.472164 \nL 115.355275 121.689665 \nL 117.353339 123.97621 \nL 119.137453 126.30707 \nL 120.704191 128.659973 \nL 122.053453 131.014974 \nL 123.187714 133.354273 \nL 124.111344 135.661946 \nL 124.830014 137.923736 \nL 125.350183 140.126801 \nL 125.67869 142.2595 \nL 125.822433 144.311174 \nL 125.788141 146.27194 \nL 125.582209 148.132521 \nL 125.210612 149.884085 \nL 124.678866 151.518097 \nL 123.992036 153.026209 \nL 123.154788 154.400146 \nL 122.171487 155.631641 \nL 121.0463 156.712352 \nL 119.783328 157.633833 \nL 118.38679 158.387524 \nL 116.861195 158.964763 \nL 115.211537 159.356845 \nL 113.443529 159.555102 \nL 111.563838 159.551033 \nL 109.580328 159.3365 \nL 107.502315 158.90396 \nL 105.340843 158.246752 \nL 103.108934 157.359472 \nL 100.821828 156.238379 \nL 98.497215 154.88189 \nL 96.155384 153.291116 \nL 93.819339 151.470414 \nL 91.514833 149.427989 \nL 89.270267 147.176443 \nL 87.116439 144.733287 \nL 85.086192 142.121318 \nL 83.213801 139.368863 \nL 81.534237 136.509729 \nL 80.08221 133.582982 \nL 78.891012 130.632298 \nL 77.991297 127.705033 \nL 77.409683 124.850942 \nL 77.16743 122.120611 \nL 77.279176 119.563659 \nL 77.751865 117.226855 \nL 78.583929 115.152267 \nL 79.764945 113.375621 \nL 81.275626 111.924905 \nL 83.088352 110.819487 \nL 85.16812 110.069715 \nL 87.47388 109.677006 \nL 89.960203 109.634434 \nL 92.579065 109.927675 \nL 95.281694 110.536293 \nL 98.020316 111.435126 \nL 100.749699 112.595683 \nL 103.428402 113.987511 \nL 106.019692 115.579368 \nL 108.492099 117.340242 \nL 110.819643 119.240088 \nL 112.981796 121.250377 \nL 114.963172 123.344473 \nL 116.753062 125.497783 \nL 118.344863 127.687871 \nL 119.735425 129.894358 \nL 120.92443 132.098841 \nL 121.913761 134.28473 \nL 122.706943 136.437059 \nL 123.308645 138.542278 \nL 123.724264 140.588063 \nL 123.959578 142.563155 \nL 124.020493 144.457127 \nL 123.912847 146.260244 \nL 123.642278 147.963334 \nL 123.214162 149.557604 \nL 122.633574 151.034561 \nL 121.905319 152.385897 \nL 121.033988 153.603413 \nL 120.024039 154.678964 \nL 118.879902 155.604412 \nL 117.606129 156.371606 \nL 116.207549 156.97242 \nL 114.689428 157.398772 \nL 113.05768 157.642721 \nL 111.319062 157.696558 \nL 109.481396 157.552998 \nL 107.553788 157.205375 \nL 105.546858 156.647882 \nL 103.472969 155.875911 \nL 101.346416 154.886395 \nL 99.183612 153.67823 \nL 97.003243 152.252725 \nL 94.826336 150.614071 \nL 92.676282 148.769847 \nL 90.578735 146.731485 \nL 88.561414 144.514665 \nL 86.653777 142.139666 \nL 84.886509 139.631542 \nL 83.290914 137.020118 \nL 81.898077 134.339788 \nL 80.737923 131.629004 \nL 79.838168 128.929535 \nL 79.223157 126.28541 \nL 78.912748 123.741626 \nL 78.9212 121.342703 \nL 79.256253 119.131078 \nL 79.918394 117.145557 \nL 80.900446 115.419825 \nL 82.187518 113.981254 \nL 83.75732 112.850005 \nL 85.580841 112.038509 \nL 87.623419 111.551416 \nL 89.846016 111.385889 \nL 92.206725 111.532291 \nL 94.662306 111.975137 \nL 97.169733 112.69417 \nL 99.687538 113.665604 \nL 102.177022 114.863238 \nL 104.603154 116.259552 \nL 106.935202 117.826627 \nL 109.147087 119.536928 \nL 111.217455 121.363846 \nL 113.129556 123.282149 \nL 114.870945 125.268215 \nL 116.43305 127.300178 \nL 117.810656 129.357973 \nL 119.001398 131.423251 \nL 120.005195 133.479314 \nL 120.823781 135.510991 \nL 121.460227 137.504459 \nL 121.918551 139.447081 \nL 122.203386 141.327271 \nL 122.319713 143.134314 \nL 122.272666 144.858206 \nL 122.067365 146.489539 \nL 121.708845 148.01938 \nL 121.202005 149.439146 \nL 120.551603 150.74053 \nL 119.762282 151.915414 \nL 118.838646 152.955816 \nL 117.785336 153.853871 \nL 116.607155 154.601804 \nL 115.3092 155.191938 \nL 113.897009 155.616769 \nL 112.37673 155.869 \nL 110.7553 155.941683 \nL 109.040641 155.828337 \nL 107.241847 155.523169 \nL 105.369373 155.021271 \nL 103.435224 154.318923 \nL 101.453139 153.413895 \nL 99.438721 152.305806 \nL 97.409545 150.996516 \nL 95.385221 149.49053 \nL 93.387381 147.795408 \nL 91.439578 145.922143 \nL 89.567089 143.885504 \nL 87.796601 141.70429 \nL 86.155793 139.401443 \nL 84.672723 137.004047 \nL 83.375176 134.543115 \nL 82.289801 132.053121 \nL 81.441242 129.571387 \nL 80.851128 127.137173 \nL 80.53715 124.790582 \nL 80.512126 122.57135 \nL 80.783176 120.517481 \nL 81.351174 118.663954 \nL 82.210334 117.04144 \nL 83.348149 115.675307 \nL 84.745635 114.584775 \nL 86.377894 113.782426 \nL 88.214943 113.274108 \nL 90.222762 113.059098 \nL 92.36455 113.130568 \nL 94.602037 113.476344 \nL 96.896768 114.079824 \nL 99.2113 114.920886 \nL 101.510276 115.976917 \nL 103.761247 117.223761 \nL 105.935299 118.636527 \nL 108.007428 120.190284 \nL 109.9567 121.860631 \nL 111.766221 123.624136 \nL 113.42293 125.458606 \nL 114.917307 127.34324 \nL 116.242955 129.258763 \nL 117.39618 131.187372 \nL 118.375542 133.112723 \nL 119.181426 135.019835 \nL 119.815631 136.894968 \nL 120.28101 138.725498 \nL 120.581173 140.499785 \nL 120.720233 142.207033 \nL 120.702596 143.837194 \nL 120.532833 145.380782 \nL 120.215563 146.828854 \nL 119.755406 148.17283 \nL 119.156967 149.404468 \nL 118.424851 150.515788 \nL 117.563707 151.499006 \nL 116.578314 152.346543 \nL 115.473658 153.050984 \nL 114.255059 153.605117 \nL 112.928301 154.001977 \nL 111.499781 154.234919 \nL 109.976657 154.297712 \nL 108.367009 154.184701 \nL 106.68002 153.890956 \nL 104.926128 153.412505 \nL 103.117176 152.746566 \nL 101.266555 151.891845 \nL 99.389315 150.848839 \nL 97.502248 149.620159 \nL 95.623875 148.210902 \nL 93.774455 146.628949 \nL 91.975851 144.885319 \nL 90.251297 142.994401 \nL 88.625155 140.974134 \nL 87.122449 138.846082 \nL 85.768368 136.63537 \nL 84.587634 134.370445 \nL 83.603803 132.082674 \nL 82.838445 129.805767 \nL 82.310361 127.574934 \nL 82.034721 125.426 \nL 82.02233 123.394309 \nL 82.278967 121.513615 \nL 82.804902 119.814969 \nL 83.594612 118.325675 \nL 84.636709 117.068376 \nL 85.914212 116.060437 \nL 87.404965 115.313473 \nL 89.082399 114.833263 \nL 90.916414 114.619821 \nL 92.87439 114.667845 \nL 94.922336 114.967274 \nL 97.025961 115.504 \nL 99.151712 116.260697 \nL 101.267688 117.217654 \nL 103.344369 118.353538 \nL 105.355188 119.64617 \nL 107.276893 121.073114 \nL 109.089726 122.612189 \nL 110.77743 124.241887 \nL 112.327139 125.94161 \nL 113.729128 127.691933 \nL 114.97651 129.474631 \nL 116.064886 131.272759 \nL 116.991974 133.070642 \nL 117.757244 134.853776 \nL 118.361567 136.608775 \nL 118.806907 138.323274 \nL 119.096036 139.985824 \nL 119.23233 141.585764 \nL 119.219555 143.113131 \nL 119.061759 144.558559 \nL 118.763157 145.913187 \nL 118.328072 147.168571 \nL 117.760925 148.316628 \nL 117.066238 149.349567 \nL 116.248669 150.259877 \nL 115.313076 151.040293 \nL 114.264594 151.683808 \nL 113.108739 152.183688 \nL 111.851524 152.53354 \nL 110.499587 152.727373 \nL 109.060311 152.7597 \nL 107.541976 152.625682 \nL 105.953904 152.321291 \nL 104.306575 151.843501 \nL 102.611767 151.190526 \nL 100.882651 150.362052 \nL 99.133875 149.359532 \nL 97.381584 148.186461 \nL 95.643443 146.848661 \nL 93.938544 145.354569 \nL 92.287271 143.715438 \nL 90.711109 141.945581 \nL 89.232318 140.062447 \nL 87.873539 138.086618 \nL 86.657327 136.041746 \nL 85.605573 133.954249 \nL 84.738866 131.852929 \nL 84.07582 129.768403 \nL 83.632357 127.732391 \nL 83.421042 125.776887 \nL 83.450432 123.933257 \nL 83.724584 122.231258 \nL 84.242661 120.698112 \nL 84.998741 119.357633 \nL 85.981833 118.229546 \nL 87.176085 117.3289 \nL 88.561258 116.665729 \nL 90.113321 116.244993 \nL 91.805227 116.06668 \nL 93.607838 116.126113 \nL 95.490811 116.414474 \nL 97.423559 116.919356 \nL 99.376128 117.625508 \nL 101.319958 118.51548 \nL 103.228509 119.570325 \nL 105.077759 120.770181 \nL 106.84652 122.094861 \nL 108.516621 123.524258 \nL 110.07292 125.038743 \nL 111.503229 126.619395 \nL 112.798135 128.248207 \nL 113.950762 129.908194 \nL 114.956466 131.583421 \nL 115.812543 133.259043 \nL 116.517909 134.921239 \nL 117.072827 136.557166 \nL 117.478618 138.154912 \nL 117.737438 139.70338 \nL 117.852077 141.192196 \nL 117.825784 142.611656 \nL 117.662168 143.952626 \nL 117.365088 145.206435 \nL 116.93861 146.364893 \nL 116.386985 147.42014 \nL 115.714647 148.364686 \nL 114.926254 149.19134 \nL 114.026728 149.893225 \nL 113.021345 150.463784 \nL 111.915799 150.896815 \nL 110.716315 151.186525 \nL 109.429763 151.327611 \nL 108.063754 151.315356 \nL 106.626768 151.145774 \nL 105.128278 150.815749 \nL 103.578841 150.323236 \nL 101.9902 149.66746 \nL 100.37535 148.849135 \nL 98.74858 147.870701 \nL 97.125502 146.736583 \nL 95.522983 145.453397 \nL 93.959065 144.030202 \nL 92.45279 142.478626 \nL 91.024007 140.813037 \nL 89.693034 139.050568 \nL 88.480284 137.211055 \nL 87.40584 135.316906 \nL 86.48892 133.392823 \nL 85.747293 131.465345 \nL 85.196713 129.562377 \nL 84.85033 127.712489 \nL 84.718082 125.944227 \nL 84.806244 124.285276 \nL 85.117003 122.761659 \nL 85.64819 121.396957 \nL 86.393183 120.211631 \nL 87.340961 119.222422 \nL 88.476374 118.441911 \nL 89.780525 117.878317 \nL 91.231355 117.535404 \nL 92.804327 117.412652 \nL 94.473193 117.505496 \nL 96.21079 117.805798 \nL 97.989816 118.302324 \nL 99.783587 118.981349 \nL 101.566655 119.827196 \nL 103.315353 120.822853 \nL 105.008202 121.950477 \nL 106.626179 123.191841 \nL 108.152868 124.528735 \nL 109.574483 125.943287 \nL 110.87981 127.418186 \nL 112.060072 128.936855 \nL 113.108709 130.483565 \nL 114.021155 132.04347 \nL 114.79459 133.602652 \nL 115.427671 135.14808 \nL 115.920297 136.667581 \nL 116.273376 138.149786 \nL 116.488636 139.584077 \nL 116.568438 140.960502 \nL 116.515653 142.26971 \nL 116.333543 143.502896 \nL 116.025697 144.651716 \nL 115.595971 145.708278 \nL 115.048489 146.665086 \nL 114.387632 147.514981 \nL 113.618063 148.25119 \nL 112.744786 148.867278 \nL 111.773204 149.357207 \nL 110.709191 149.715347 \nL 109.55918 149.936552 \nL 108.330247 150.016242 \nL 107.030225 149.950511 \nL 105.66779 149.736244 \nL 104.252545 149.371282 \nL 102.795112 148.85456 \nL 101.307188 148.186332 \nL 99.801594 147.368334 \nL 98.292279 146.404016 \nL 96.7943 145.298707 \nL 95.323766 144.059851 \nL 93.897677 142.697112 \nL 92.533803 141.222513 \nL 91.250407 139.650517 \nL 90.065939 137.997973 \nL 88.998692 136.284059 \nL 88.066376 134.530056 \nL 87.285653 132.759068 \nL 86.671604 130.995577 \nL 86.237263 129.264979 \nL 85.993095 127.592969 \nL 85.946549 126.004874 \nL 86.101671 124.524972 \nL 86.458791 123.175837 \nL 87.014389 121.977644 \nL 87.761045 120.947649 \nL 88.687554 120.09973 \nL 89.779182 119.44407 \nL 91.018094 118.986966 \nL 92.383855 118.730885 \nL 93.854059 118.674559 \nL 95.404945 118.81326 \nL 97.012141 119.139202 \nL 98.651286 119.641944 \nL 100.298635 120.308919 \nL 101.931609 121.125895 \nL 103.529231 122.07744 \nL 105.072453 123.147429 \nL 106.544378 124.319355 \nL 107.930373 125.576696 \nL 109.218097 126.903188 \nL 110.39745 128.283035 \nL 111.460442 129.701009 \nL 112.401043 131.14262 \nL 113.214975 132.594113 \nL 113.899509 134.042526 \nL 114.45325 135.475658 \nL 114.875925 136.882072 \nL 115.168219 138.251041 \nL 115.331579 139.57249 \nL 115.368093 140.83696 \nL 115.280359 142.035535 \nL 115.071407 143.159819 \nL 114.744635 144.201877 \nL 114.303769 145.154213 \nL 113.752848 146.009725 \nL 113.096236 146.761706 \nL 112.33864 147.40383 \nL 111.485149 147.930182 \nL 110.541309 148.33529 \nL 109.513164 148.614156 \nL 108.407341 148.762337 \nL 107.231125 148.776016 \nL 105.992539 148.652119 \nL 104.700414 148.388439 \nL 103.364462 147.983761 \nL 101.995335 147.438031 \nL 100.604648 146.752504 \nL 99.204998 145.92994 \nL 97.809963 144.974741 \nL 96.434009 143.893138 \nL 95.092445 142.693309 \nL 93.801249 141.385491 \nL 92.576877 139.982048 \nL 91.436028 138.497485 \nL 90.395322 136.948349 \nL 89.470991 135.353125 \nL 88.678451 133.732001 \nL 88.031909 132.106515 \nL 87.543894 130.4992 \nL 87.224868 128.933066 \nL 87.082788 127.431081 \nL 87.12275 126.015602 \nL 87.346719 124.707743 \nL 87.753313 123.526848 \nL 88.337718 122.489956 \nL 89.091755 121.611353 \nL 90.003997 120.902243 \nL 91.060079 120.37052 \nL 92.243069 120.020682 \nL 93.533954 119.853873 \nL 94.912193 119.868023 \nL 96.356254 120.058127 \nL 97.844245 120.416553 \nL 99.35442 120.933459 \nL 100.865709 121.597162 \nL 102.35815 122.394604 \nL 103.813235 123.311716 \nL 105.214183 124.333818 \nL 107.796118 126.632999 \nL 110.008693 129.173239 \nL 111.787379 131.841301 \nL 113.094729 134.533178 \nL 113.915157 137.155384 \nL 114.249549 139.624822 \nL 114.238097 140.778904 \nL 114.110635 141.867841 \nL 113.870046 142.883727 \nL 113.519626 143.819078 \nL 113.063024 144.666847 \nL 112.504255 145.420409 \nL 111.847706 146.073548 \nL 111.098152 146.62047 \nL 110.260797 147.055832 \nL 109.341329 147.374775 \nL 108.345958 147.572983 \nL 107.281493 147.64675 \nL 106.155397 147.593062 \nL 104.975855 147.409705 \nL 103.751823 147.095384 \nL 102.493062 146.649846 \nL 101.210196 146.074011 \nL 98.618871 144.541901 \nL 96.079457 142.535402 \nL 93.704811 140.118172 \nL 91.614539 137.383425 \nL 90.71355 135.934112 \nL 89.927788 134.453283 \nL 89.270471 132.959968 \nL 88.753444 131.474178 \nL 88.386851 130.016496 \nL 88.178735 128.607669 \nL 88.134727 127.268076 \nL 88.257794 126.017251 \nL 88.548003 124.873393 \nL 89.002436 123.852872 \nL 89.615172 122.969825 \nL 90.377369 122.235838 \nL 91.277463 121.659676 \nL 92.301461 121.247147 \nL 93.433275 121.001098 \nL 94.655216 120.92145 \nL 95.948435 121.005365 \nL 97.293432 121.247528 \nL 98.670533 121.640401 \nL 100.060375 122.174578 \nL 101.444294 122.83914 \nL 102.804696 123.622009 \nL 105.391489 125.490517 \nL 107.710042 127.672249 \nL 109.677063 130.058794 \nL 111.23606 132.546621 \nL 112.354186 135.040105 \nL 113.017893 137.452741 \nL 113.228469 139.707183 \nL 113.167349 140.753263 \nL 112.998281 141.734593 \nL 112.724095 142.643785 \nL 112.348044 143.473861 \nL 111.873771 144.21829 \nL 111.305315 144.870978 \nL 110.647118 145.426243 \nL 109.904056 145.878876 \nL 109.081449 146.224162 \nL 108.185133 146.457887 \nL 107.221482 146.576467 \nL 106.197465 146.576958 \nL 105.120692 146.457178 \nL 103.999459 146.215778 \nL 101.660423 145.367655 \nL 99.261445 144.043043 \nL 96.895212 142.273282 \nL 94.66429 140.113905 \nL 92.677322 137.646662 \nL 91.042923 134.979063 \nL 90.389866 133.609945 \nL 89.861402 132.240717 \nL 89.467159 130.88981 \nL 89.215026 129.575899 \nL 89.110827 128.317509 \nL 89.158093 127.132565 \nL 89.357864 126.037985 \nL 89.708585 125.049225 \nL 90.206015 124.17996 \nL 90.843307 123.441692 \nL 91.611155 122.84357 \nL 92.497955 122.392191 \nL 93.490131 122.091521 \nL 94.572471 121.942925 \nL 95.728531 121.945242 \nL 96.941058 122.094984 \nL 98.192389 122.386534 \nL 99.464912 122.812436 \nL 102.005367 124.029918 \nL 104.435161 125.662042 \nL 106.646394 127.612462 \nL 108.554653 129.781571 \nL 110.09965 132.072082 \nL 111.24333 134.392501 \nL 111.966528 136.658952 \nL 112.265246 138.795714 \nL 112.147247 140.735051 \nL 111.936952 141.611596 \nL 111.629422 142.416767 \nL 111.227925 143.144156 \nL 110.736145 143.787766 \nL 110.158188 144.342077 \nL 109.498585 144.801989 \nL 108.762317 145.162924 \nL 107.954843 145.420804 \nL 107.08213 145.572141 \nL 106.1507 145.614085 \nL 104.140673 145.361984 \nL 101.989092 144.657332 \nL 99.770711 143.508689 \nL 97.570463 141.943414 \nL 95.481941 140.010511 \nL 93.604104 137.782254 \nL 92.036042 135.353929 \nL 90.869926 132.840816 \nL 90.462457 131.592499 \nL 90.182625 130.372005 \nL 90.036247 129.196126 \nL 90.027134 128.081235 \nL 90.15695 127.042938 \nL 90.425072 126.095687 \nL 90.828544 125.252457 \nL 91.362075 124.524441 \nL 92.018118 123.920798 \nL 92.787055 123.448522 \nL 93.657399 123.112301 \nL 94.61608 122.914495 \nL 95.648763 122.855211 \nL 96.740236 122.932379 \nL 97.874735 123.141936 \nL 99.036338 123.478047 \nL 101.378287 124.499141 \nL 103.64742 125.922744 \nL 105.740313 127.663498 \nL 107.57338 129.630643 \nL 109.084425 131.733585 \nL 110.231786 133.885655 \nL 110.991911 136.006277 \nL 111.356321 138.021991 \nL 111.328637 139.866671 \nL 110.92214 141.481375 \nL 110.158081 142.814152 \nL 109.650561 143.360488 \nL 109.064833 143.820059 \nL 108.405537 144.188396 \nL 107.677768 144.461557 \nL 106.88711 144.636163 \nL 105.142039 144.679279 \nL 103.22562 144.304086 \nL 101.202323 143.51008 \nL 99.145886 142.31254 \nL 97.138466 140.745084 \nL 95.268545 138.861609 \nL 93.627231 136.736952 \nL 92.30289 134.465538 \nL 91.374465 132.157565 \nL 90.903965 129.932458 \nL 90.853393 128.888695 \nL 90.92929 127.910091 \nL 91.131698 127.010046 \nL 91.458601 126.200758 \nL 91.905896 125.492916 \nL 92.467465 124.895517 \nL 93.135296 124.415648 \nL 93.899642 124.058394 \nL 94.749271 123.826809 \nL 95.671696 123.721887 \nL 96.653514 123.742675 \nL 97.680701 123.886365 \nL 99.813824 124.522968 \nL 101.958106 125.579163 \nL 104.008936 126.985509 \nL 105.876232 128.662604 \nL 107.487897 130.526927 \nL 108.790812 132.495476 \nL 109.749863 134.488889 \nL 110.345885 136.433324 \nL 110.573112 138.261319 \nL 110.43677 139.912146 \nL 109.951147 141.331824 \nL 109.13827 142.47316 \nL 108.027317 143.296038 \nL 106.654529 143.76796 \nL 105.063569 143.865221 \nL 103.306021 143.57442 \nL 101.441799 142.894427 \nL 99.539069 141.838656 \nL 97.673417 140.437149 \nL 95.92593 138.738203 \nL 94.379897 136.808871 \nL 93.116205 134.733778 \nL 92.207493 132.61182 \nL 91.711658 130.550645 \nL 91.665598 128.659087 \nL 91.815731 127.809137 \nL 92.080147 127.038563 \nL 92.455678 126.357479 \nL 92.937343 125.774529 \nL 93.518441 125.296732 \nL 94.190678 124.929377 \nL 94.944365 124.675927 \nL 95.76863 124.538045 \nL 96.651676 124.515594 \nL 98.543791 124.808112 \nL 100.517877 125.520956 \nL 102.473081 126.601905 \nL 104.317492 127.984915 \nL 105.972937 129.596019 \nL 107.377547 131.35827 \nL 108.486307 133.195575 \nL 109.27007 135.035252 \nL 109.713786 136.809689 \nL 109.814397 138.457108 \nL 109.578884 139.922015 \nL 109.022741 141.155351 \nL 108.168984 142.114761 \nL 107.047697 142.765024 \nL 105.695999 143.078861 \nL 104.158276 143.038035 \nL 102.486439 142.634993 \nL 100.739963 141.874629 \nL 98.985416 140.776136 \nL 97.295153 139.374657 \nL 95.744987 137.722153 \nL 94.410688 135.887097 \nL 93.363359 133.952531 \nL 92.664018 132.012294 \nL 92.357908 130.165256 \nL 92.46942 128.508336 \nL 92.682759 127.778997 \nL 92.998439 127.128749 \nL 93.412385 126.565809 \nL 93.918976 126.097009 \nL 94.511133 125.727664 \nL 95.18048 125.461482 \nL 95.917527 125.300563 \nL 97.552441 125.294906 \nL 99.325934 125.696666 \nL 101.144724 126.470689 \nL 102.919121 127.565447 \nL 104.568643 128.918276 \nL 106.025717 130.460255 \nL 107.237544 132.120447 \nL 108.166324 133.82903 \nL 108.788313 135.51947 \nL 109.092298 137.129934 \nL 109.077851 138.604083 \nL 108.753768 139.891481 \nL 108.13688 140.947934 \nL 107.251291 141.735943 \nL 106.128015 142.225244 \nL 104.804958 142.393716 \nL 103.326984 142.228598 \nL 101.74594 141.727954 \nL 100.120347 140.902268 \nL 98.514536 139.775927 \nL 96.996979 138.388228 \nL 95.637656 136.793686 \nL 94.504461 135.061002 \nL 93.658751 133.270535 \nL 93.150399 131.510152 \nL 93.013017 129.869617 \nL 93.259977 128.434126 \nL 93.52559 127.816988 \nL 93.88199 127.277645 \nL 94.324442 126.822654 \nL 94.846876 126.457235 \nL 95.442048 126.185218 \nL 96.816494 125.929465 \nL 98.372135 126.057437 \nL 100.025786 126.550065 \nL 101.693247 127.370435 \nL 103.295075 128.468137 \nL 104.761038 129.783806 \nL 106.032992 131.25328 \nL 107.066156 132.811126 \nL 107.82915 134.39325 \nL 108.303103 135.938829 \nL 108.480336 137.391454 \nL 108.362939 138.699912 \nL 107.961544 139.818675 \nL 107.294355 140.708374 \nL 106.386582 141.336308 \nL 105.270124 141.677164 \nL 103.983494 141.713941 \nL 102.571736 141.439172 \nL 101.086186 140.856221 \nL 99.583874 139.980644 \nL 98.126294 138.841243 \nL 96.777455 137.480563 \nL 95.601089 135.954573 \nL 94.657025 134.331064 \nL 93.997092 132.686712 \nL 93.660687 131.102775 \nL 93.670918 129.659787 \nL 94.031627 128.431632 \nL 94.726076 127.480059 \nL 95.717561 126.850135 \nL 96.952038 126.56735 \nL 98.362439 126.636843 \nL 99.874059 127.044411 \nL 101.410235 127.759218 \nL 102.89757 128.737318 \nL 104.270134 129.92571 \nL 105.472332 131.266053 \nL 106.460384 132.698012 \nL 107.202687 134.161788 \nL 107.679276 135.600059 \nL 107.880841 136.959281 \nL 107.80755 138.190572 \nL 107.46796 139.250324 \nL 106.878133 140.100792 \nL 106.061031 140.710569 \nL 105.046122 141.055323 \nL 103.8692 141.118723 \nL 102.572193 140.893381 \nL 101.202795 140.382064 \nL 99.813838 139.598799 \nL 98.462106 138.569759 \nL 97.206525 137.333588 \nL 96.105618 135.941091 \nL 95.214335 134.453706 \nL 94.580368 132.940939 \nL 94.240346 131.476604 \nL 94.216372 130.134081 \nL 94.513408 128.981267 \nL 95.117994 128.075591 \nL 95.998706 127.459939 \nL 97.108259 127.159937 \nL 98.387132 127.182975 \nL 99.76824 127.5188 \nL 101.181875 128.14169 \nL 102.560426 129.01341 \nL 103.842285 130.086684 \nL 104.974649 131.30861 \nL 105.915119 132.62368 \nL 106.632302 133.976304 \nL 107.105578 135.312653 \nL 107.324392 136.582084 \nL 107.287299 137.738102 \nL 107.001034 138.739116 \nL 106.479674 139.548976 \nL 105.744072 140.137651 \nL 104.821404 140.481819 \nL 103.744889 140.565734 \nL 102.553501 140.382173 \nL 101.291559 139.93337 \nL 100.008018 139.23199 \nL 98.75534 138.301832 \nL 97.587794 137.178094 \nL 96.559186 135.906931 \nL 95.720002 134.544137 \nL 95.114152 133.152813 \nL 94.775618 131.800052 \nL 94.725395 130.552813 \nL 94.969184 129.473404 \nL 95.496189 128.615111 \nL 96.279413 128.018503 \nL 97.277395 127.708904 \nL 98.437257 127.695273 \nL 99.698718 127.970547 \nL 100.998462 128.513339 \nL 102.27435 129.290415 \nL 103.46902 130.259668 \nL 104.532581 131.373196 \nL 105.424288 132.580073 \nL 106.11331 133.828703 \nL 106.578724 135.068718 \nL 106.809058 136.252393 \nL 106.80153 137.335646 \nL 106.561267 138.278904 \nL 106.100565 139.047692 \nL 105.438293 139.613289 \nL 104.599459 139.953422 \nL 103.614845 140.052959 \nL 102.520653 139.904812 \nL 101.358038 139.51074 \nL 100.172369 138.882192 \nL 99.012132 138.04083 \nL 97.927369 137.018728 \nL 96.967579 135.857898 \nL 96.179162 134.609091 \nL 95.602538 133.329681 \nL 95.269216 132.080724 \nL 95.199056 130.923303 \nL 95.398215 129.914614 \nL 95.858046 129.104005 \nL 96.555315 128.529669 \nL 97.453562 128.216309 \nL 98.505754 128.17397 \nL 99.65772 128.398153 \nL 100.851972 128.871138 \nL 102.03149 129.564026 \nL 103.143017 130.439358 \nL 104.139618 131.453799 \nL 104.982376 132.560716 \nL 105.641269 133.712358 \nL 106.095371 134.861724 \nL 106.332581 135.963924 \nL 106.349032 136.977302 \nL 106.148453 137.864302 \nL 105.741514 138.592142 \nL 105.145263 139.13342 \nL 104.382658 139.466887 \nL 103.482184 139.578038 \nL 102.477438 139.459908 \nL 101.406612 139.113873 \nL 100.311745 138.550266 \nL 99.237676 137.788811 \nL 98.230542 136.858763 \nL 97.335923 135.798411 \nL 96.596493 134.653953 \nL 96.049492 133.47761 \nL 95.724087 132.325001 \nL 95.638989 131.251917 \nL 95.800617 130.310799 \nL 96.202105 129.547314 \nL 96.823379 128.997311 \nL 97.632356 128.684646 \nL 98.587127 128.620046 \nL 99.638988 128.801072 \nL 100.735747 129.213097 \nL 101.825154 129.831026 \nL 102.857875 130.621543 \nL 103.789913 131.545512 \nL 104.584272 132.560253 \nL 105.211941 133.621668 \nL 105.652219 134.685973 \nL 105.8926 135.711087 \nL 105.92836 136.657753 \nL 105.76202 137.490404 \nL 105.402794 138.177908 \nL 104.86603 138.694241 \nL 104.172782 139.019107 \nL 103.349363 139.138628 \nL 102.426924 139.046029 \nL 101.44088 138.742292 \nL 100.430182 138.236714 \nL 99.43629 137.547289 \nL 98.501776 136.700706 \nL 97.668622 135.731889 \nL 96.976108 134.682947 \nL 96.458547 133.601452 \nL 96.142945 132.538129 \nL 96.046896 131.54393 \nL 96.176926 130.66699 \nL 96.527617 129.949497 \nL 97.081601 129.424999 \nL 97.810566 129.116396 \nL 98.677166 129.034797 \nL 99.637549 129.179387 \nL 100.644371 129.538154 \nL 101.649779 130.089315 \nL 102.608158 130.80325 \nL 103.478372 131.644626 \nL 104.225416 132.574457 \nL 104.821414 133.552093 \nL 105.246063 134.536817 \nL 105.486657 135.489262 \nL 105.537809 136.3725 \nL 105.40101 137.152944 \nL 105.084148 137.801093 \nL 104.601029 138.292263 \nL 103.97091 138.607109 \nL 103.218078 138.732382 \nL 102.371377 138.661471 \nL 101.463628 138.39503 \nL 100.530909 137.941429 \nL 99.611553 137.317039 \nL 98.343436 136.115615 \nL 97.321714 134.6994 \nL 96.833056 133.705174 \nL 96.528561 132.724485 \nL 96.424721 131.80391 \nL 96.528094 130.987616 \nL 96.834437 130.314575 \nL 97.328706 129.816113 \nL 97.985897 129.514067 \nL 98.772651 129.419737 \nL 99.649502 129.533573 \nL 100.573477 129.845748 \nL 101.500779 130.337394 \nL 102.806821 131.352217 \nL 103.901849 132.599961 \nL 104.690655 133.956171 \nL 105.112493 135.294482 \nL 105.175743 136.117633 \nL 105.064396 136.848171 \nL 104.785172 137.458221 \nL 104.350442 137.924335 \nL 103.7778 138.228181 \nL 103.089624 138.35708 \nL 102.312591 138.304599 \nL 101.477112 138.071092 \nL 100.616586 137.664083 \nL 99.356628 136.762892 \nL 98.241901 135.587354 \nL 97.386495 134.250474 \nL 97.007483 133.335979 \nL 96.805261 132.452578 \nL 96.790935 131.642145 \nL 96.966169 130.943232 \nL 97.322764 130.388676 \nL 97.84302 130.003628 \nL 98.500736 129.804199 \nL 99.262962 129.796743 \nL 100.092124 129.977932 \nL 100.948386 130.335459 \nL 102.197261 131.15666 \nL 103.295435 132.235769 \nL 104.143129 133.462002 \nL 104.670576 134.717952 \nL 104.840461 135.889687 \nL 104.75105 136.572733 \nL 104.505282 137.146087 \nL 104.114225 137.587556 \nL 103.593925 137.879733 \nL 102.964982 138.010541 \nL 102.25205 137.973736 \nL 101.483264 137.769373 \nL 100.293519 137.165307 \nL 99.159084 136.252516 \nL 98.191173 135.115228 \nL 97.489945 133.864731 \nL 97.132057 132.628833 \nL 97.106547 131.877465 \nL 97.255094 131.22599 \nL 97.570793 130.704831 \nL 98.038074 130.337572 \nL 98.633605 130.139711 \nL 99.327802 130.117914 \nL 100.086638 130.270055 \nL 101.266643 130.79957 \nL 102.389291 131.631008 \nL 103.346338 132.674144 \nL 104.052404 133.824218 \nL 104.450464 134.972588 \nL 104.5135 136.015615 \nL 104.36931 136.60658 \nL 104.083954 137.086735 \nL 103.669735 137.437269 \nL 103.143479 137.644113 \nL 102.526095 137.698407 \nL 101.842052 137.597016 \nL 100.751576 137.161082 \nL 99.673888 136.419147 \nL 98.712664 135.438471 \nL 97.964948 134.31337 \nL 97.510097 133.156971 \nL 97.398934 132.089012 \nL 97.524374 131.482234 \nL 97.803836 130.99315 \nL 98.223627 130.643857 \nL 98.762964 130.449145 \nL 99.395229 130.415885 \nL 100.089653 130.542903 \nL 101.175364 131.012916 \nL 102.215122 131.765428 \nL 103.108273 132.718869 \nL 103.774299 133.777244 \nL 104.158364 134.840009 \nL 104.233342 135.810515 \nL 103.999357 136.602832 \nL 103.683351 136.99689 \nL 103.254184 137.264776 \nL 102.729226 137.395516 \nL 101.808975 137.323146 \nL 100.80421 136.933913 \nL 99.807906 136.260709 \nL 98.915801 135.364957 \nL 98.217461 134.332808 \nL 97.786242 133.267699 \nL 97.669556 132.279335 \nL 97.774961 131.714556 \nL 98.02229 131.256115 \nL 98.399493 130.924666 \nL 98.888034 130.73433 \nL 99.463949 130.692031 \nL 100.430065 130.903387 \nL 101.427809 131.415331 \nL 102.356647 132.168825 \nL 103.1282 133.08441 \nL 103.674024 134.071493 \nL 103.949985 135.037283 \nL 103.937682 135.89424 \nL 103.643802 136.566326 \nL 103.305321 136.881473 \nL 102.868602 137.074917 \nL 102.068923 137.120501 \nL 101.161179 136.869 \nL 100.228884 136.341107 \nL 99.360479 135.584328 \nL 98.641551 134.67046 \nL 98.145882 133.689784 \nL 97.926474 132.742097 \nL 98.007916 131.925366 \nL 98.2267 131.496084 \nL 98.565653 131.182192 \nL 99.008212 130.997104 \nL 99.818108 130.974298 \nL 100.72503 131.250813 \nL 101.634952 131.791342 \nL 102.457685 132.535811 \nL 103.11616 133.407463 \nL 103.552854 134.321344 \nL 103.73317 135.192191 \nL 103.646379 135.941228 \nL 103.304805 136.501754 \nL 102.741899 136.823716 \nL 102.009539 136.877451 \nL 101.174503 136.656553 \nL 100.313948 136.179492 \nL 99.509562 135.489549 \nL 98.84037 134.65233 \nL 98.374577 133.750403 \nL 98.161423 132.875167 \nL 98.224318 132.116643 \nL 98.556949 131.552614 \nL 98.911871 131.313422 \nL 99.601147 131.184386 \nL 100.411606 131.335641 \nL 101.258473 131.745485 \nL 102.05646 132.366985 \nL 102.729027 133.134656 \nL 103.215389 133.972201 \nL 103.474861 134.800082 \nL 103.488724 135.542275 \nL 103.26017 136.132014 \nL 102.812968 136.516544 \nL 102.189189 136.660983 \nL 101.446141 136.551291 \nL 100.652385 136.196136 \nL 99.882656 135.627445 \nL 99.211572 134.898706 \nL 98.706342 134.080981 \nL 98.419265 133.256249 \nL 98.381005 132.508671 \nL 98.595987 131.914761 \nL 99.041104 131.534266 \nL 99.668267 131.403158 \nL 100.410502 131.530054 \nL 101.190424 131.896577 \nL 101.929533 132.460893 \nL 102.55671 133.163596 \nL 103.014845 133.934715 \nL 103.265057 134.700695 \nL 103.288749 135.390802 \nL 103.087718 135.942577 \nL 102.683103 136.306456 \nL 102.113272 136.449382 \nL 101.430931 136.357683 \nL 100.69934 136.038802 \nL 99.987511 135.521637 \nL 99.36436 134.85503 \nL 98.892022 134.103977 \nL 98.619008 133.343586 \nL 98.574085 132.651106 \nL 98.762186 132.097123 \nL 99.1631 131.73717 \nL 99.733725 131.605395 \nL 100.41341 131.71108 \nL 101.131507 132.038712 \nL 101.815783 132.550983 \nL 102.563139 133.426574 \nL 103.01431 134.380369 \nL 103.11652 135.051024 \nL 103.008251 135.614604 \nL 102.702374 136.020168 \nL 102.228699 136.230992 \nL 101.631529 136.227584 \nL 100.966353 136.00959 \nL 100.295659 135.596651 \nL 99.503541 134.812146 \nL 98.95374 133.886405 \nL 98.762186 133.197538 \nL 98.784059 132.591142 \nL 99.016985 132.128585 \nL 99.435959 131.855614 \nL 99.996255 131.797217 \nL 100.638911 131.955451 \nL 101.297959 132.310142 \nL 102.089984 133.019129 \nL 102.663219 133.878512 \nL 102.928419 134.74148 \nL 102.901606 135.304965 \nL 102.685724 135.738827 \nL 102.302671 136.003755 \nL 101.7888 136.075511 \nL 101.192116 135.947157 \nL 100.365031 135.487163 \nL 99.630381 134.77027 \nL 99.11598 133.919597 \nL 98.913962 133.085065 \nL 98.992019 132.560225 \nL 99.259402 132.181543 \nL 99.687533 131.985849 \nL 100.231062 131.990198 \nL 100.833396 132.190553 \nL 101.622538 132.719209 \nL 102.27188 133.453523 \nL 102.675736 134.264692 \nL 102.773613 135.016577 \nL 102.638662 135.466811 \nL 102.339929 135.773124 \nL 101.906337 135.907599 \nL 101.3787 135.857748 \nL 100.615287 135.514562 \nL 99.901694 134.910238 \nL 99.360907 134.147938 \nL 99.088632 133.361088 \nL 99.092299 132.839453 \nL 99.275177 132.43547 \nL 99.617719 132.188958 \nL 100.083604 132.122723 \nL 100.624186 132.240513 \nL 101.365464 132.655291 \nL 102.011961 133.289455 \nL 102.456363 134.030162 \nL 102.62971 134.75154 \nL 102.509479 135.334804 \nL 102.239791 135.623505 \nL 101.844187 135.754272 \nL 101.36011 135.715054 \nL 100.656611 135.406724 \nL 99.995924 134.855685 \nL 99.491744 134.156172 \nL 99.232891 133.430486 \nL 99.265588 132.807132 \nL 99.479383 132.474292 \nL 99.831694 132.294071 \nL 100.285457 132.282484 \nL 100.966383 132.524184 \nL 101.62262 133.011959 \nL 102.142142 133.656483 \nL 102.440797 134.345704 \nL 102.474122 134.964137 \nL 102.323119 135.319673 \nL 102.037418 135.545329 \nL 101.644619 135.620465 \nL 101.019615 135.476653 \nL 100.375909 135.0786 \nL 99.823005 134.493742 \nL 99.456927 133.823291 \nL 99.342419 133.185201 \nL 99.499428 132.692246 \nL 99.77923 132.470912 \nL 100.16648 132.40101 \nL 100.779493 132.549252 \nL 101.401633 132.941389 \nL 101.925414 133.504423 \nL 102.264377 134.139255 \nL 102.366149 134.738359 \nL 102.218584 135.202919 \nL 101.959735 135.416388 \nL 101.464591 135.484096 \nL 100.875751 135.296377 \nL 100.292391 134.884843 \nL 99.814203 134.319804 \nL 99.524412 133.699463 \nL 99.474063 133.133007 \nL 99.67134 132.720164 \nL 99.961053 132.555591 \nL 100.47913 132.557704 \nL 101.060521 132.805401 \nL 101.602912 133.250469 \nL 102.088311 133.960233 \nL 102.246783 134.531855 \nL 102.17445 135.003423 \nL 101.886945 135.297808 \nL 101.434169 135.367274 \nL 100.892498 135.200861 \nL 100.353336 134.826827 \nL 99.822027 134.167581 \nL 99.601069 133.598644 \nL 99.605737 133.100959 \nL 99.834165 132.761726 \nL 100.243783 132.63862 \nL 100.759779 132.749485 \nL 101.290071 133.070261 \nL 101.834675 133.673236 \nL 102.11987 134.34554 \nL 102.113208 134.814518 \nL 101.900439 135.137625 \nL 101.51936 135.262312 \nL 101.034685 135.168554 \nL 100.408465 134.77226 \nL 99.914128 134.168004 \nL 99.684353 133.518709 \nL 99.735499 133.086346 \nL 99.986947 132.814166 \nL 100.39218 132.747767 \nL 100.87773 132.89511 \nL 101.466774 133.331426 \nL 101.891292 133.930366 \nL 102.044644 134.531787 \nL 101.946932 134.908861 \nL 101.671797 135.125179 \nL 101.266818 135.14564 \nL 100.800597 134.967517 \nL 100.252137 134.515143 \nL 99.877127 133.923632 \nL 99.776327 133.353046 \nL 99.913413 133.016934 \nL 100.218477 132.851912 \nL 100.635764 132.884205 \nL 101.200718 133.184792 \nL 101.671846 133.689907 \nL 101.927602 134.262061 \nL 101.906605 134.751077 \nL 101.695401 134.996525 \nL 101.349781 135.067491 \nL 100.819737 134.896879 \nL 100.312071 134.48454 \nL 99.961617 133.94104 \nL 99.862252 133.413324 \nL 99.9833 133.099718 \nL 100.260083 132.942288 \nL 100.64212 132.966239 \nL 101.162964 133.237042 \nL 101.600937 133.699204 \nL 101.842752 134.226837 \nL 101.829944 134.681202 \nL 101.639635 134.911928 \nL 101.323936 134.982389 \nL 100.836397 134.83108 \nL 100.366577 134.455328 \nL 100.039183 133.955993 \nL 99.941695 133.468014 \nL 100.099039 133.123219 \nL 100.379901 133.013867 \nL 100.841867 133.112573 \nL 101.307631 133.439592 \nL 101.699636 134.001482 \nL 101.790332 134.464093 \nL 101.642878 134.792803 \nL 101.379823 134.901241 \nL 100.943396 134.815404 \nL 100.49615 134.508914 \nL 100.110359 133.968848 \nL 100.015069 133.51766 \nL 100.154576 133.195698 \nL 100.410016 133.090285 \nL 100.833878 133.175278 \nL 101.340843 133.550348 \nL 101.66604 134.078486 \nL 101.710855 134.490716 \nL 101.538835 134.762786 \nL 101.19784 134.825464 \nL 100.778515 134.663985 \nL 100.327743 134.239733 \nL 100.094025 133.721423 \nL 100.132023 133.362247 \nL 100.371673 133.172974 \nL 100.745405 133.201736 \nL 101.225358 133.503019 \nL 101.567482 133.976931 \nL 101.647435 134.44231 \nL 101.493373 134.697178 \nL 101.181866 134.759896 \nL 100.79589 134.615648 \nL 100.378024 134.228119 \nL 100.157722 133.750594 \nL 100.217675 133.366596 \nL 100.465831 133.225823 \nL 100.822494 133.287928 \nL 101.256013 133.597663 \nL 101.541296 134.044257 \nL 101.575427 134.457782 \nL 101.403748 134.664721 \nL 101.098114 134.688399 \nL 100.6703 134.47189 \nL 100.329051 134.071261 \nL 100.203408 133.640547 \nL 100.299724 133.379 \nL 100.551512 133.281262 \nL 100.95834 133.409453 \nL 101.32963 133.749626 \nL 101.536248 134.235262 \nL 101.44849 134.548568 \nL 101.211392 134.645201 \nL 100.824653 134.528488 \nL 100.418905 134.139419 \nL 100.256898 133.674122 \nL 100.377533 133.398043 \nL 100.628777 133.338051 \nL 101.008017 133.48996 \nL 101.373229 133.887413 \nL 101.484192 134.321835 \nL 101.335334 134.555847 \nL 101.07966 134.583737 \nL 100.716189 134.407904 \nL 100.387434 134.008734 \nL 100.317629 133.600294 \nL 100.492736 133.404055 \nL 100.814033 133.428987 \nL 101.20581 133.714007 \nL 101.426729 134.125964 \nL 101.370219 134.454824 \nL 101.123396 134.543619 \nL 100.790687 134.418264 \nL 100.461605 134.07107 \nL 100.353414 133.68196 \nL 100.480278 133.468355 \nL 100.758884 133.451724 \nL 101.129076 133.679847 \nL 101.382683 134.107753 \nL 101.335154 134.413752 \nL 101.110252 134.499467 \nL 100.753234 134.351838 \nL 100.443603 133.962918 \nL 100.412457 133.627134 \nL 100.581355 133.482354 \nL 100.862631 133.527856 \nL 101.186967 133.789267 \nL 101.355967 134.18702 \nL 101.248583 134.423471 \nL 101.00722 134.44505 \nL 100.679621 134.250665 \nL 100.447031 133.872146 \nL 100.482315 133.595659 \nL 100.679515 133.51507 \nL 100.996342 133.64221 \nL 101.272551 133.983652 \nL 101.290456 134.313097 \nL 101.124223 134.419437 \nL 100.826481 134.332222 \nL 100.537119 134.021356 \nL 100.480978 133.687821 \nL 100.653708 133.552774 \nL 100.940717 133.636444 \nL 101.21838 133.934292 \nL 101.272687 134.253201 \nL 101.109493 134.384213 \nL 100.835828 134.30729 \nL 100.546134 133.980912 \nL 100.523167 133.684972 \nL 100.701878 133.584658 \nL 101.007648 133.714798 \nL 101.238823 134.052382 \nL 101.199498 134.302697 \nL 100.993483 134.346249 \nL 100.70307 134.169885 \nL 100.531891 133.835082 \nL 100.625805 133.634154 \nL 100.851004 133.645496 \nL 101.141072 133.895279 \nL 101.21607 134.204972 \nL 101.082359 134.321781 \nL 100.817077 134.240292 \nL 100.58578 133.953158 \nL 100.603174 133.692292 \nL 100.783961 133.649844 \nL 101.069497 133.833147 \nL 101.196075 134.157221 \nL 101.069959 134.29419 \nL 100.826083 134.222148 \nL 100.599308 133.92644 \nL 100.640301 133.701085 \nL 100.848607 133.692565 \nL 101.116695 133.931075 \nL 101.149635 134.208162 \nL 100.97978 134.267882 \nL 100.726688 134.110643 \nL 100.608742 133.822637 \nL 100.740882 133.694569 \nL 100.986762 133.799518 \nL 101.150501 134.099465 \nL 101.047163 134.245322 \nL 100.814806 134.170621 \nL 100.631796 133.88695 \nL 100.727816 133.719964 \nL 100.951284 133.79108 \nL 101.127315 134.062701 \nL 101.036761 134.223729 \nL 100.823126 134.157562 \nL 100.652074 133.896887 \nL 100.737833 133.740671 \nL 100.94326 133.80358 \nL 101.110194 134.075773 \nL 101.008134 134.207031 \nL 100.787667 134.109252 \nL 100.670562 133.843943 \nL 100.805085 133.757587 \nL 101.030678 133.911119 \nL 101.070903 134.150665 \nL 100.92165 134.178486 \nL 100.70821 133.977913 \nL 100.740999 133.782683 \nL 100.929659 133.826304 \nL 101.076261 134.074819 \nL 100.958738 134.171902 \nL 100.758466 134.039554 \nL 100.72752 133.81488 \nL 100.886643 133.813844 \nL 101.058182 134.030149 \nL 100.98666 134.156363 \nL 100.971241 134.157576 \nL 100.783699 134.05399 \nL 100.738762 133.828716 \nL 100.884397 133.825595 \nL 101.046686 134.040563 \nL 100.966178 134.143372 \nL 100.951225 134.142895 \nL 100.768722 134.017594 \nL 100.768269 133.82689 \nL 100.929659 133.866489 \nL 101.027605 134.087087 \nL 100.903347 134.119421 \nL 100.744252 133.938641 \nL 100.798097 133.831702 \nL 100.837364 133.832179 \nL 101.009958 133.983883 \nL 100.979468 134.113628 \nL 100.944247 134.118113 \nL 100.771527 133.986242 \nL 100.793152 133.846355 \nL 100.826909 133.841843 \nL 100.993026 133.967826 \nL 100.973171 134.102505 \nL 100.94098 134.107153 \nL 100.781185 133.987114 \nL 100.799221 133.857029 \nL 100.830065 133.852381 \nL 100.989777 133.979808 \nL 100.967248 134.092254 \nL 100.91529 134.093631 \nL 100.773356 133.939499 \nL 100.823058 133.862454 \nL 100.877579 133.873196 \nL 100.991533 134.043562 \nL 100.914147 134.084797 \nL 100.881226 134.07197 \nL 100.787365 133.897528 \nL 100.898085 133.892021 \nL 100.908482 133.899028 \nL 100.974221 134.059865 \nL 100.956502 134.074178 \nL 100.818633 134.009047 \nL 100.808859 133.887863 \nL 100.866589 133.88421 \nL 100.974037 134.039418 \nL 100.893354 134.063191 \nL 100.856358 134.04074 \nL 100.809044 133.899709 \nL 100.841498 133.8871 \nL 100.967696 134.001945 \nL 100.933987 134.062973 \nL 100.867854 134.042717 \nL 100.810575 133.911255 \nL 100.851471 133.89442 \nL 100.962269 134.021834 \nL 100.909566 134.055599 \nL 100.854982 134.026373 \nL 100.819484 133.912386 \nL 100.947452 134.039105 \nL 100.884611 133.97715 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pb5baa9df20\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZcAAAGJCAYAAABGun7mAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAADXGUlEQVR4nOx9d5xcZb3+c6bP9t6y2c221E3ZTd1EaReCoQhKEyw0r1xpQvQCgkq4BhS4KnhpclVAAY3+NKJyqUJCCQlks71ley/Tdnanzym/P4b35MzszOyUM2XDeT4fPiTZnXPOzJzzPu+3PQ/FcRwHCRIkSJAgQUTIEn0BEiRIkCDh9INELhIkSJAgQXRI5CJBggQJEkSHRC4SJEiQIEF0SOQiQYIECRJEh0QuEiRIkCBBdEjkIkGCBAkSRIdELhIkSJAgQXRI5CJBggQJEkSHRC4SJEiQIEF0SOQiQYIECRJEh0QuEiRIkCBBdEjkIkGCBAkSRIdELhIkSJAgQXRI5CJBggQJEkSHRC4SJEiQIEF0SOQiQYIECRJEh0QuEiRIkCBBdEjkIkGCBAkSRIdELhIkSJAgQXRI5CJBggQJEkSHRC4SJEiQIEF0SOQiQYIECRJEh0QuEiRIkCBBdEjkIkGCBAkSRIdELhIkSJAgQXRI5CJBggQJEkSHRC4SJEiQIEF0SOQiQYIECRJEh0QuEiRIkCBBdEjkIkGCBAkSRIdELhIkSJAgQXRI5CJBggQJEkSHRC4SJEiQIEF0SOQiQYIECRJEh0QuEiRIkCBBdEjkIiHu4DgONE2DZVlwHJfoy5EgQUIMoEj0BUj4bIFhGLjdbthsNshkMsjlcigUCigUCsjlclAUBYqiEn2ZEiRIiBIUJ20dJcQBJFqhaRocx8HlcoGiKD56mZqaQkpKCnJzc6FUKiGXyyGXyyGTScG1BAlLEVLkIiHmYFkWNE2DYRgA4KMTmUzGk4fJZALHccjMzITb7QYAyGQyr6hGIhsJEpYOJHKREDNwHAeWZeF2u8FxHE8qLMuCoij+3wDw/1coFPxrOY6D2+2Gy+UCIJGNBAlLCRK5SIgJhGkwAAtqKUJiIT8XQhjdkN8nREUiG4qiJLKRICFJIZGLBNHBsiyMRiNUKhWUSmVICz6JZIL9XC6X838PhWwUCoXUHCBBQoIgbfMkiAYSrbhcLjQ2NsJqtYYVSYTTW0LIRkgmAPhONIvFgrm5OVgsFjgcDr6RQIIECfGBFLlIEAWkPiIs2oeDxSKXUF4fKLIhnWn+ajZSZCNBQmwgkYuEqMGyLFwuF1iWhUwm4+sl4UYiYkJINuQ6yHW2t7ejoKAAOTk5EtlIkBAjSOQiIWJwHMcPRXIcxxMLEDwSCbSAxyptRc5HyMZqtYJhGH7exul0SpGNBAkiQyIXCRHBNw0mJBYgtAK979/jVRMhkZW/yMbpdAZtfZbIRoKE0CCRi4SwEGh2xReJTouFA2FkI5fL+RkbjuMWkA1RD1AoFAsIVYIECacgkYuEkLHY7IoQkUQi8ezmWiyqEhKOkGwcDgf/O4RsSGQjkY0ECacgkYuEkECiFZZlAWDRFuOlFLksBolsJEgIHxK5SAgKYRpM2A22GCIhl6UyhxIq2fjO4UhkI+GzBIlcJATEYkX7YEj2tJiYCEQ2LMuiv78fNE2joqJiQYOARDYSTmdI5CLBLxiGgcVi8fJZCQfJHLnE+lxCsiE1KoqiwDAMGIYJ2PoskY2E0wmS/IsEL5Ci/fz8PA4dOhSxeVcyk0u84Y9ICNk4nU5YrVbMz8/DYrHAbrfzA6mn6+ch4bMBKXKRwEOYBiOEEukC91lKi4ULf4rPhNTdbrfXHI7k0ilhqUIiFwkATtkPk6K90FclEgQjF7fbjZGREaSmpiIrK4tXLz5dyWUxQgiHbCSXTglLBRK5fMbhO7si1AYjP48EgchidnYWLS0tUCgUoGkaDocD6enp/OLJMIyXAOVSRySfX6hkI3nZSEhmSOTyGYbv7IqQVMj/yc/ChS+5cByHoaEh9Pb2orq6GsuWLQMAOBwOzM7OYnR0FPPz83j//feRmZmJ7OxsZGdnIz09XfRFc6mllgKRjeTSKSGZIZHLZxChzK5EG7kIX+tyudDW1ob5+Xls27YNmZmZvHyMVquFVquF0+mExWJBZWUljEYjTCYTRkdHwbIssrKyeLJJS0sThRzimYKLheJzILI5fvw4KisrkZGRIZGNhIRCIpfPGEKdXYlENt/39RzHwWQyoaWlBRkZGdi1axeUSqXfY5LzpaSkICUlBaWlpeA4DhaLBSaTCSaTCYODg6Aoiiea7OxspKSkJHUk4mvnHAsIycZut/Pnk1w6JSQSErl8hkCiFYZhQpqpoCgq4rQYABgMBvT396Ompgbl5eVBz+ePyCiKQnp6OtLT01FWVgaWZTE/Pw+TyQSdToe+vj4oFAovstFqtRFf7+kCmUwWknGav240CRLEgkQunwEQ3xWapmMq4ULgdDphMpnAMAyfBgv1OoNBJpMhMzMTmZmZWLFiBRiGwdzcHEwmEyYnJ9HT0wO1Wo2cnByebFQqVdjXLzbiuWj7i5RCden07UaTyEZCNJDI5TRHNBIuMpksbHIxGo1oaWmBTCZDcXFxyMQSyUIml8t5EgE80/BmsxkmkwkjIyPo6OhAamoq/ztZWVlQKpVhnycaxLu9OpTzBfKykSyhJYgJiVxOY/jOrsRSwoXjOPT392NwcBCrVq2C2WwOu4Ac7UKsUCiQm5uL3NxcAJ6aA6nX9Pf3w2azIT09HS6XCxaL5bRrewbCr/H4unT6WkJLLp0SIoVELqchyEzEyZMnoVarUVpaGrGESyg1F6fTiZaWFjgcDmzfvh0ZGRno6OhIuPyLUqlEQUEBCgoK+Os0mUzo6+vD5OQkxsbGkJGRwUc2mZmZS76jKtoGgmBkI7l0SggHErmcZmBZFjRNg2EY2Gy2qBabUBZ8vV6P1tZW5Obmor6+np/sT0Y/F7VajaKiIkxOTqKwsBDZ2dl8ZDMxMQGapvkZm5ycHKSlpYlCNvFedMU8n5Bs/Ll0tra2orS01G/rs0Q2n21I5HKawJ/9MFkMIkWwmgvLsujr68Pw8DDWrFmDZcuWeS0moZCLL/HFuz5BZmxKSkrAcRxsNhtPNiMjIwDgNWOTmpoa9oKZiJpLLBd1X3uBubk5XmTT6XR6pdEk47TPNiRyOQ0QyH442lRToLSYw+FAS0sL3G43duzYgfT09JBfG+xcidQWoygKqampSE1NXTBjYzQaMTAwAJlMtqDtOdkWzHh/hizL8pGK5NIpQQiJXJY4hLMrwqltwBN5RDOn4m/B1+l0aG1tRUFBAdasWcOnwUJ57WLnihdCbcP2nbEhbc/T09M4efIkVCqVF9loNJoFx4nHEKXwXOTa4wXf9+cb2UgunZ9dSOSyRBHK7ArxDIkUwrQYy7Lo7e3FyMgI1q5dy2uDBUKyS+6Hey6ZTIasrCxkZWWhoqICDMPwbc/j4+Po7u6GRqPhZ2yysrLiPmOTKHIJVpcKRDYsy/JkI5PJJOO00xASuSxBhDq7EsmcihCEIOx2O5qbm8GyLBoaGpCWlhbya8M911KBXC5HTk4OcnJyAHhmbGZnZ2EymTA0NASLxYK0tDRwHIfU1FTQNB0wyhMLiSAXlmXDbn32RzbEpdPhcEhkc5pAIpclBjJ/EMrsihhpMZPJhI6ODhQVFWH16tUhz4Ukc1osFlAoFMjLy0NeXh4Aj1jn7Ows+vv7YTKZ8P777yM9Pd2r7VnsGZtkSIuFi0AinP4soYl6ANFFW+r3zOkOiVyWCMgDR7rBYq0NxrIs7HY75ubmsH79ehQXF4f1+tM9clkMKpUKBQUF0Ov10Gq1KC4u5jvRurq64HK5vKwFMjIyRJuxiWeNZ7G0WLgIRjY0TWNubg5OpxMlJSWSS2eSQyKXJYBIJVwiTYvZbDY0NzeDpmlUVVWFTSxActdcErEIaTQaFBcXo7i4mE81ErIZGxsDy7ILfGyWQtszENvP05dsLBYL5ubmUFBQILl0JjkkcklyCKOVcHdnkaTFpqam0N7ejpKSEiiVyoi1uIKRi7/3cTrvOv29V2ItsGzZMnAcB6vVypPN0NAQKCp8a4F4p8USVeMhqTFyDZIldHJCIpckBVlwaJqGWq2OKOwPJ3pgGAbd3d2YnJxEbW0tioqK0NjYGJWfS7i/n8zdYrE8D0VRSEtLQ1paGpYvXw6WZfkZm3CsBRJFLvFcuEmtkSBQGo2QDbk+yTgt/pDIJQlBZlcGBgbgdrtRW1sb0XFCjVysViuam5shk8mwc+dOpKSk8K+PhlyCnZtMdQtxOtVcooFMJkNGRgYyMjJQXl4OlmX5tmehtYCQbNRqddzJRWiPHS+E2vocyBKa/Fwim9hDIpckglDChezQxGglDoaJiQl0dHRg+fLlWLly5YJdYSwil5mZGbS2tnpNvJ/OabFoIfycAE+USdqeR0dH0dnZiZSUFF4pgabpuFgLJCotFg4R+CMb8oxJLp2xhUQuSQJ/RXu5XB5VK3GwyIVhGHR1dWF6ehobN27klYOFiKbbzN9rhYOYq1atgkqlwuzsLCYmJjA3NweKotDT08MvpLFaIJdSq64/yOXyBdYCs7Oz0Ol0AID3338faWlpvABnZmZmTGZsEhG5sCwb1Xsh9RgCf8ZpQrKRXDojh0QuSYBA9sPRzqkEer3FYkFzczMUCgV27twZ0BpYzMhFqEfW0NAAjUYDmqaRk5ODyspK6HQ69PT0gKIoDA4Oor29nZ8LIQvk6ea9IhaUSiXy8/ORmpqK6elp7Nq1i28OOHnyJBwOh5e1QEZGhiifZSRNJtEi3KHNxRAK2TgcDiiVSqSnp0uKz2FAIpcEYjEJl1hog42NjaGrqwvl5eWorq4OmmIQq+ZCZPnz8vKwefNmKBQKPiVBoFAoIJPJsHLlSgCnvFeMRiO6urrgdru95PAjadUVIp71nXgW2CmKgkqlQmFhIQoLCwHAq+3Z11qAtD1HUnOIp24aQbhpsXDhj2yGhoaQkpKC5cuX8yk2yV5gcUjkkiCEMrsiZuRC0zQ6Ozuh1+uxadMm5OfnL/r6aNNiHMehr68Pg4ODfmX5fX9fCOK9UlRUxM+FGI3GBXL4RMsrlFbdRCDeHXD+PoNg1gKjo6NgWdbLWiAtLS2kz1LsAcpQEGty8QW5jwmZkGuQXDoXh0QuCUCo9sNiRC4sy2J+fh7Nzc1Qq9XYuXOnX/XeQK+PdHFkGAYWiwUul4t3p1wMweZiyFwIkcOfn5+H0WjkW3WVSiW/OObk5ECtVkd03UsZoUQSFBXYWsBkMmFwcJAX6VxsxkbsFFUoiDe5kHMKCUOyhA4NErnEEb6+K4tN2kcTOZDX0zSNo0ePYsWKFaiurg5bZDASciG5fgBoaGgIqTAfzrkoiuJbdVesWOGlUEzSfikpKXxUk52dHXPRyMWuN1nPRVELrQXm5+e9ZmyExC20Fjgd02L+QGqhvvBHNuQ/yRJaIpe4QdhiDPifUvdFNDUPmqbR398PmqaxdetWvrMoHMhksrAk+0l+uq+vD0VFRZibmwu54yuah02oUFxVVcV3TxmNRvT398Nut3s1B8QTyZAWCwcymQyZmZnIzMzkiZv42ExMTPDWAtnZ2VCpVHFfJBOVigulAUL4TPuzhA4kwnm6Kj5L5BJj+JtdCfVGijQtNjc3h+bmZv4GjoRYgPAiJ7fbjba2NszNzWHr1q1wuVyYm5sL63xiLcSke4rUlRwOB5/26ejogMvlgs1mA8uyEet4JSNiQWRyudxrxkZoLTA9PQ2n04ljx47xv5OVlRXTGZtEpcUiOWcwsvksuHRK5BJDRCo4SRAuuXAch5GREZw8eRKVlZUoLCzEkSNHwr5uglBTVWazGc3NzUhLS8POnTuhUqmg0+mSRnLfVzSyubkZcrkcZrPZS8eLpNHEti+Od7dYLCG0FsjJyUFvby8qKipgMpnQ398Pm83mZS2QlZUlagt5MqXFwkWoZHO6uHRK5BIjsCyLmZkZqNXqiBercMjF7Xajvb0ds7Oz2Lx5M3JycmCz2aLazS6WluM4DqOjo+jp6UFVVRUqKir497kYMfkTc4xHCokMyGVmZi6oMQjtiwnR5OTkxN1RMlLEuwZCFvqCggJ+CJe0kJtMJvT09MDpdHrN2GRmZka1UCeqiSAWM1aByMafS+fBgwdRV1eHDRs2iH4dsYJELiJDOLvS3d2N8vJyXqsrXIRKLrOzs2hpaUFqaip27drFL4aEHCJddIKlxWiaRkdHB4xGI09mvq9NVsl9IfzVGHylVVJTU73si8NpDlhqNZdozydsIQf8z9gIO9HCTUku5chlMQQjmyeffBK33367RC6fVfimwcgNEikWIxeO4zA8PIze3l5UV1djxYoVC4Ywgch3XoEIwre12V/bb7jkkiwdVf6kVcgwZ29vr9e0e05OjqgmX2Ig0eTii2AzNsPDwwDgRTapqalBj5nIVuR4Q0g2Vqs1JHvxZIJELiLB3+yKXC4Pq9vKF8HIxeVyoa2tDfPz89iyZQtfcBWC3JiREpy/tNj4+Dg6OzsXbW1O1rRYuFAqlV5pH+FOvK2tLaQBxNOp5iJEJCKSvjM2JCVpMBjQ39/v1UDgr/4Vb3IhkUMiNxDEfoMIky4VSOQSJYSzK6RNUmxtMN9Fw2QyoaWlBRkZGXwBPdDrAUR8DcIFXyh0GcqE/1JJi4UL3504MfkyGo38AKJwmPN09KgRni8aMhPOKxFrAdL2LKx/+X6e8faPAeLrWeMPNpsNqampCb2GcCGRSxRgWRY0TQfsBhODXIBTDzHHcRgcHER/fz9qampQXl4e9OEWg1xYluX9XuRyeVChS9/XJmtaDBBnIaaohSZfZHGcmprCyZMnQVEUGIbhzb5i2RyQiJqLmIsuUQbIyspCRUWF13Ds+Pg4urq6AACDg4PIz89HVlZWzJstyLOTaNFUKS32GYFwdiWYMqxY5EJIrLW1FVarFdu2bUNmZuair482LUZRFJxOJz766COUlpYu8HtZ7LWLdZoJf56sabFw4Ls40jSNEydOQCaTYXh4GB0dHV5S+GK36SYiLRbL8wmHYwFPKviDDz6AXC7H0NAQLBYL/3lG0mwRCoQbx0SBZVnYbDaJXE53+Eq4BJu0F6PmAgAGgwGdnZ3IysrCzp07wxpSi5TgWJbF5OQkrFYrNm3axCvshopII5dESIrECgqFAkqlEoWFhSgpKYHL5eJTaKRN11fpOdpFLNkK+mKCfDbV1dVQKBRwuVx8Zx9pthDO2Ihh0xDu4HMsYLVaAUCquZzOEPqukMnaYBBDeBIAWlpasHr1al7yO9xjhBsR2O12NDc3w+VyITU1NWxiifS8QHwWrEQtFP6k8InS89jYGN8cQNqeF+uc8sVST4stBl9zMpVK5dVsIVRi6Orqgsvl8rIWiKSzL15tyMFAyEWquZyGWMx3JRBkMtkC35JQ4XQ60draCgDYtGmTX6fIUBAuwc3MzKCtrQ1FRUXIzs7G0NBQROf9LNRcQkWg96bVarFs2TIsW7bMS52YdE6ROg2JbBZTs453WjHeA42LFdd9lRiEnX1C8g7HWiDRnWKAh1xUKtWSGeYlkMhlEUQj4RKu8CMBMdfKzc2FTCaLeAiTXEMo5CK0IF63bh1KSkowMzMTVb0m0sjldEI4Ss++6sSkmD05OYmenh5oNBovpWff9GgyDFHGEoTMQjknRZ2yaSDkTTr7iLUAkf0JZi3AMEzCi/kWiyXsKDYZIJFLEBCfhkjzrnK5PKyogWVZ9Pf3Y2hoiDfX+te//iW6G6UvfC2ISeEwmiJ7sNfSNI329nbYbDa+YEs60E43cokUwpZm4JRgJGl59mcD/VlIi0V6Pn+dfRaLxcsTSBgpkhmbZIlcotlgJgoSufgBEZJzOBxQq9URF/TCSUmRBd7lcmHHjh188S4a2f1QrsFgMKClpcXLgpggHFVkXwQq0Aun+4uKimA2m/lhRMAzpJmXl5e0zpKJglAwEvDW8CI20BqNBhzHwWw2i9IcsBjinRYTk8xkMpmXJ5C/SJHoArIsC6fTmTADOtKGvNSeB4lcfEDSYKOjo9DpdNi8eXPEX2qo5KLT6dDa2oqCgoIFC7xYbpS+4DgO/f39QS2Io41cyHnInycmJtDR0YHy8nJUVlbC7Xbzk9pmsxknTpyAwWDA4OAgb1BFIpullm8miFU04c8GemBggNeZA2JvA53sigDhwF+kaDabMTY2BpfLhQ8//BApKSlebeSxtBYQwmq1LrliPiCRixeIhAvHcXxKK5qHZ7Gai7DOsXbtWixbtszvMaKdlfElCJfLhZaWFtjt9qAWxNFETUJyYVkW3d3dmJiYwMaNG1FQUOD1uZB6AwDU1tbycvhGoxEjIyPo7OwUdT5kqe0AFwOpL2RlZYFlWaxfv36Bm6RCofBSehZjF06ek3ghnikqhUKB3NxcXp147dq1fNvzwMAAL8cibHuOldvpUhygBCRyAeB/dkWhUEQ1owIEr7nY7Xa0tLSApmmvOocvxJKQITCZTGhubkZWVtaiFsRiRC52ux3t7e1gGAY7d+4MmDsWLvj+hufIfEh3dzdcLhff9UPmQ8IljNOxtkPek6+sir9Jd6ENdKS78ER0iyXKKMzXgM7pdPI1MH/WAhkZGaIRr1RzWaLwtR8mN2+knV5CBCIG0u5bWFiINWvWBL0JxUiLkWl4YkEcinQMeW20NZdjx46hoKAAa9eu9Xqfgc7tb9EXzoeQFJDRaITRaMTw8PACPa9Q5GnihXimjgKdy5esF7OBDnVhPN0UAfwh0JyLWq1eMLPkay0gnLGJpgYmRS5LDEIJF3/dYOF2evmDLzGwLIuenh6MjY2htrYWxcXFYR8jkmtwu91oamriLYizsrJCfm2k7cRkPqaysnKBFYA/hCpVI2wxLS0t5c2+jEYjr+dFWnbjnRtPNEJd7P3twskwZ0dHB78wksgmUGS4lLrFojlnKEQbzFpgZGQEHMeFPWNDQGRulho+k+QSyuyKGJGLUP7FZrOhpaUFHMdh586dIRfooiUXhmHQ29vLS8eEUxiPJC3mdrvR1taGubk5AEBJSUlQWX5/fw4HQrMvouflb1dOyCZQfSmWSHTkshjUarXX8CFZGI1Go5cNtDAyJFHt6Z4Wi2RC35+1ABmQJTM2wmh7MWttm80mpcWWAoQSLsFajMWMXKamptDe3o6SkhKsWrUqrFxspORCLIjNZjMKCgpQV1cXkXRMOOeen59HU1MTUlJS0NDQgHfffTfsKf1oayG+LbsOh4PflZOWZ6JLRXLZsVwg413bifa9+C6MQhvomZkZ9Pb28jbQdrs9rjvqREUu0Rbq/Q3I+n6mpDuS/CdUY7BarRFJMCUanxlyCVfCRYzIBTjlbV9bW8tbv4aDSMhFaEFMdpuRLDrhLPbERKyiogJVVVX8vyfa00Wj0aCkpIRPV1gsFnR3d8Nms+GTTz45bVqegdgQmT8baNLJZ7fbMTg4iJmZGa9Ovlh1TcU7DQd4Ihex74lAnylpuOju7oZGo8Hs7CwmJydhsVi8nqlo8PTTT+Ppp5/m09br1q3Dj370I+zZsweA5zN+4IEH8Oyzz8JkMmH79u148sknsW7durDP9Zkgl0gkXEjkEmmqwWq1orW1lU+DRRrWhksuvhbEXV1dUTlRAsHTLSzLoqurC1NTUwtMxJJNX4zsINPS0qBWq1FeXs4vlKOjo6K3PAvPGw/Eo8AubA6Yn59HXl4e1Gq1lzKxsGsqMzNTNEJIZLdYLOHbcEFSu6+++iqeeOIJ9Pf348MPP4Rer8c555yDM888M+S6qS9KS0vx05/+FNXV1QCAF154AZdccgmampqwbt06PPLII/j5z3+O559/HitXrsT+/ftx3nnnoaenJ2xV5tOeXPzZD4cCsqhE4p9NhgWLi4thtVqj6l4Kh1z8WRBHU7NZTAafqCdzHIeGhoYFBBoJucQzjRSPlud4IhHyLwqFIqAN9Pj4OBiG8RrmjGbSPJkL+mKCpHavvfZaXHvttbjwwguxdu1a0DSNe+65BxzHobu7O6JjX3zxxV5/f/DBB/H000/j6NGjWLt2LR577DHcd999+PKXvwzAQz6FhYV4+eWXcdNNN4X3PiK6wiUA39mVcCVcyE0cjnCd0Ap448aNyMrK4tVYI71BQyGHYBbEYrQT+3uo9Xo9WlpagrZTR0IWiZw/WazlmaIor0HEUDYN8bY5TrQcS7g20OFsvJKpFTmesNlsOPPMM3H11VcD8HSPiQGGYfDnP/8ZVqsVDQ0NGBwcxNTUFHbv3s3/jlqtxplnnokjR45I5AIsnF0JVUlVCGHkEgosFguam5uhUCh4K2BCbLEkl8UsiKOZshemxQh8ZWNKS0sDvj7Z0mLhYKm2PCfT3Ik/sUjyGU5PT+PkyZNQq9U80SxmA326psUWg6/8S7RNFG1tbWhoaIDD4UBaWhoOHjyItWvX4siRIwCwoHmgsLAQw8PDYZ/ntCIXMrsyPj4Os9mMmpqaiB82QkihFPVJOqqsrAw1NTVeg5hA5B725DoCvZ50oQWzIBYrLQZ40kZtbW2wWCxBZWOEr0/GtFikIqShtjz71hpOp5pLNOfz9xmSmpc/G2hfSZVEtSInUnKftIaL6UK5atUqNDc3Y3Z2Fn/5y19w7bXX4vDhw/zPfb/TSO+r04ZchEV7p9MJs9kc9YO2mE0xTdPo7OyETqdbkI4CTqXiorU6JhEQgVCra/369UHbFMWQcCGKsc3NzUhLSwvLajlZ02KxbHkeHx/njalcLhccDkdcFv5kSIuFA6LflZubC+BUzctkMnlJqhDCjkXn1mJIxsglWqhUKr6gv2XLFnzyySd4/PHHcffddwPwbFqFA94zMzMRtUKfFuTiO7uiUCiinlEBgs+6kK4slUqFXbt2BXQJFFt4UlhED6ULLRo3TKGacX9/PyorK1FZWRnyAhZuSi6Z0mLhwl/Ls9FoxOzsLHp7ezE8PBzzludETMyL+Z0tZgNN0zQ0Gg1UKlVENtCRIBEFfV/EWv6F4zg4nU5UVFSgqKgIb731Furq6gB4CP/w4cN4+OGHwz7ukiaXQLMri0UcocLfrAvHcRgbG0N3dzdWrFiBqqqqoA+0mMKTQgvi1atXh3TTRxO5kPMODg6irq6O36WHg2RMi8UawqG5qakpVFZWQi6Xx7zlOdnTYuHC1wa6paUFFEVFbAMdCRJd0GcYhq+NiIF7770Xe/bswfLlyzE/P48//vGPOHToEF5//XVQFIU77rgDDz30EGpqalBTU4OHHnoIKSkpuOaaa8I+15Ill2CzK2KRi+9xyHCiwWBAfX09H84HQ7TDmOT1PT09XhbE4bw+EnKz2Wxobm4GAGzatCmk9+qLZO0WS0TqKB4tz6eTvwoAcBxgtQIWC4X5eQq9vRmQyzOh1RZgfh7Q6+3Q6RwwGFyYnTXD5XKAYVLgdmuQnq5AVRVQWcmhooJFZSWL4mIO4V5uoiMX0hkmFrlMT0/j61//OiYnJ5GZmYkNGzbg9ddfx3nnnQcAuOuuu2C323HzzTfzQ5RvvvlmRDWfJUkui82uiEkuZGGem5tDc3MztFotdu3aFbIfRrQyMgzDwGg08u2C4d5kkZALMS8rLi6GxWKJOIWTrAX9RCMWLc/A0o1cOA4YH6fQ1SVDT48MXV0ydHXJ0dMjw/y88PgbfV4Z3mCyWs1hxQrWi3AqKlhUV7NYsYKD71shDUKJjFysVisA8cjlN7/5TdCfUxSFffv2Yd++fVGfa0mRi3B2hewIA0mMi5UWo2kaIyMj6OnpCbvmQI4RKbkQV0aFQoEdO3ZEJKsRzoLNcRz6+vowNDTER0iTk5NRNQR8FshiMSzWritmy3MykwvHARMTHhLp7pZ9+n8PiczNBZNi4pCWBqjVLqSnA5mZCqSnc0hL45Caik//DKSmcvyfzWYa3d00+vuBkRElpqe1cDpl6OmRo6dn4Tl27KCxd68L55/P8CRDrCoSGblYrVZoNJqYSerEEkvmilmWBU3TIUm4iEUuFEVhZGQETqcTmzdv5tMa4SASchHOkhQVFcFms0V8c4V6fqE75Y4dO/gwONpuM3+vZVkWJ0+exNTUFD+9TfTPlkq3WKwQTctzvN9TsAYClwtoapLhk0/knxJJcBJRKDhUVbFYs4bF6tWe/69Zw2L5chYpKQBFAY2NjVi2bFkYGn3yT6+Twfy8Dp2dFrS3O9DXx2JiIgUGQxYmJ1MxPKzG0aMKXHmlAuvXM9i714VLL6XBcd4eT4kA6RRbis0uSU8uQt8VslOKtS4YAJjNZpjNZmg0GuzatSvi1FC4NRdfC2Kr1RrRABNBKBP6s7OzaG5uRmZm5gJ3ymgn/ANZLDscDlRVVWF+fp63MpbJZJiYmABFUaJqUiUS8Wp5zsnJibgrMFIIu8VsNuD4cTk++ECOI0fk+PhjORwOf1kFDtXVHgIRkkhVFYvFHrFIU1QURSEjIwU7dqRgxw7Pd+JRJZ78VDnAgX/8oxqvvVaOtjY5rr9eix//mMWtt1qxfLksofehxWJZknL7QJKTiz/74VDIgoSxDMOEvePnOA7Dw8Po7e1FSkoKCgsLo2obDafm4s+C2G63i9rKLASR5e/p6UF1dbVfU69oJvx9ycVsNqOpqQmZmZnYvn07WJbl205dLhc++eQTuN1udHR0eGlS5eTkxFwaf6nAX8uzyWSCwWCA0WiE2WyGzWaLucqz2cyhsTEf//pXGo4d0+DECRncbu/vJzeXxY4dDNatO0Ui1dWLk0ggiFX/8JDNKRvoDRsYnH32HG67rRPPP5+Gv/xlGQYGVNi7Nx25uefizjtZ3HgjCxFHTUIGaUNeivd+0pJLqL4r/hApubhcLrS3t2Nubg5btmzB+Ph41DvPUNJSxLnRnwWxmK3MQjAMg46ODuj1+qCdb2KlxYiKQVVVFSoqKsBxHFwuF/+7KpUKCoUCy5cvR25uLqxWK4xGI/R6Pfr7+3kPEZIOikZqJZnrEuHA1yekpaUFGo0Gcrlc9JZnoxH46CMFPvxQjg8/lKOlRQaWbfD6neJiFrt2Mfjc5xjs2sVg5Up2QZE8GsRqjkcul/MtzfX1wAMPWPDssxx+9at06PVa/OAHwP/+rxW///0AysoykJmZGbc6jNgDlPFE0pFLuL4r/hCOdAuByWRCS0sLMjIyeMfGycnJqGs3i5GD0LnRnwVxtOTijxx89ciCzQdEmxZjGAadnZ2YnJz0mpXxR1jkexZqUpWVlYFhGL7uMDg4iPb2dn5ym7hLng4ptGhBjL6I3pu/lmdiX7xYy7PZDBw6pMB773nSXB0dCxfTwkIrzjlHjs9/nsOuXYzfjisxEa/OrexsJe6+G7jhBh0ee8yIAwfWYXg4FffcU4rvf/8oOC40G2gxIJGLSCCToiSXGwmxAAhrkJLjOAwODqK/v39B1CBGY0CwY/hKqvhLYYgduUxPT6OtrQ3Lli3DqlWrFn1Yo4lcSGOCQqHwK8kf6rnkcrmXTAjxfDcajby7JFkwk1GtOF7wjZLCaXnOzs7B2Fgq3nhDjtdfV+Cjj+Sgae9nb+VKT1SycyeDbducGBg4jDPOOCNunUzxbgtWKBhceOEELr+8Euefn4IjR7Lxzjvn4K67TDxpk3qoPxtoMSCRiwhgWRYulwvvv/8+1qxZs0CnK1yEQgwulwutra2wWq3Ytm0bMjMzvX4uk8m8UjeRwB85CGsdJE0U6GYUK3JhWRa9vb0YGRlBbW2tl3bQYtcfyUJsMpkwPz+PzMxMbN26NeQ0Qijn8vV8t1gsMBgMvNKusHU3Ozs7oW2c8Zw9CfbZ+Wt51uvn8dZbLrz1lgpHjqRiasp7EVu5ksHZZ58ilPz8U8d3uRgMDMRfhTne8jYymQx1dSyeeMKBb35Ti1/8Qo3a2kxcccUpG2gi9aPT6XgbaKHSc6gzcf4Qa+mXWCLh5ELSYKQbTExdsGDkYjQa0dLSgqysrIBCjGJELr7kILQgDqW9OZq0FDk/wzA4fvw4nE5n2IOY4UYuHMdhZGQEJ0+e5OU7AhGL78IUaZRK6g4rVqzw27pLUmi5ubmiqssmG0IhsslJCm++qcDrr8tx6FAGrFZhpMOhvn4OdXWT2LBhFKtWKbxanoFTCzu5J5JJ4j8W5yP37pVX0mhvd+Kxx9S49VYNVq60YeNGD/mQ5gBfG2hS90pNTY3YBloilwjhT8JFLpcvUAGOBIGIgeM4DAwMYGBgAKtWrcLy5cuDzstES3RCcvG1IA5lRxNt5GK1WmG325GZmYn6+vqwd/HhkBtpEjAYDNiyZQv6+vqC/r7vAiXGnItv664wFTQ6OgoAUCqV0Gg0cDgcMdGj8kUiJfdZFmhslOGNNxR44w0FWlq8ib6oiMX559M4/3wGZ51FIy1NBmAZHI7cgC3POTk5CbETiHfk4qsrdv/9LrS3y/H22wpcc40Whw7ZvKI5YKG7qdvt5pWeiQ10oDklf7BarVIrcrgQRivCFmOFQhEz0Umn04nW1lZ+hmQxP5JodcEAz83mdDr9WhCHgkjJhUQQPT09kMvl2LhxY8Q+JqEs+ESLTCaToaGhARqNJim0xXzFD+fm5tDb2wur1YqPPvoIWq3WK4UmdhdQIpwo7XbgnXcU+Mc/FHjzTTn0+lOLF0Vx2LyZEAqNjRv9d3QFa3nu7+/nP6fp6emYtjwL3xsQ34FGXzKTy4Hf/taOs89ORX+/DP/+7xr87W/2oMdQKpVeNtDCOaWJiQnQNB3UBtpqtWLZsmWxeYMxRkLIhcyv+BuKFGu63pekDAYDWlpakJubi7q6upB28GJELgB45z1/ni+LQTh9HSo5CFNva9euRU9PT8Q7zFAIglgeFxUVYc2aNV672mTSFiPDmcIJeFKYPXnyJJxOJzIzM5Gbm4ucnJwlNV9gswGHD+fhk0+KcPhwGiyWU9edkcHh3/6Nxu7dNHbvZhbstheDb8szwzCYnp5Gd3e3V+pHKFEjNkmT5zDe5OL7PrKygD/+0Y6tW1PxzjsKGAxAOJquvqQdyAaaeNeImRb7yU9+gr/+9a/o7u6GVqvFzp078fDDD2PVqlX871x33XV44YUXvF63fft2HD16NOzzJYRcSCeYPygUClHSYiTqEOplrV69GqWlpSEvGNESndVqxdjYGFiW9WtBHAqEbpahPLDEblmpVGLnzp1wuVwxc8IUdtr5szyOhFziBVLfy8/P5wnfZrPxKbShoSEvNeOcnJyIC7Oxel8WC/Dmmwq88oon5WWz1fI/Ky1l8cUv0rjgAhoNDQzEdGCWy+XIyMiAQqHA1q1bo2p5DhWJiFwCye2vWuUZBu3rk6GxUY7duyNbI4Qt97420AcOHMAjjzyCzMxMTE5OoqqqCueccw4fAUWCw4cP45ZbbsHWrVtB0zTuu+8+7N69m98cEHzhC1/Ac889x/890qg0YWmxWOuCkXTUxx9/DJfL5aWXFSqiSYsRC+KMjAzI5fKIiIVcAxAauZBzLl++nLdbJhFipAhEEDRNo62tDWaz2W+nXbDXBkMiW4R9u6nm5uZgNBoxPj6Orq4upKam8lFNPAfphJibA15/3UMob72l8JJYKSqy4+KLHbj6ahU2bxZ3gNEXwuJ6rFSefc8HJD5yIdi6lUFfn0c7LVJy8YVQV+6ee+7BzTffjCuvvBJpaWl4+OGH8dWvfhUXXHAB/vGPf0R0/Ndff93r78899xwKCgrQ2NiIM844g/93tVodhn5bYCS8W8wXcrlcFI0kt9uNoaEhFBUVYfPmzRG1o0aSFvO1IHa73ZicnAz73ARCcgl2zpMnT2JsbAy1tbVeN4bYTpiAJyJramqCSqUKOJ8DLK4G7O/fkmX+RCaTISsrC1lZWaisrITb7eYXzK6uLrjdbq8CdyBxQTHez+ws8NprHkL5178UcDpPnaeigsWXvuTGJZfQcLmOorKyIuo2/lAQKE0rtsozASGzeEa3wYzCtmxh8Ic/KPHJJ7HbYGRkZMDhcOD222/HVVddBZ1Oh6GhIdGObzabAWBBx+qhQ4dQUFCArKwsnHnmmXjwwQcjipiSMnKx24MXyYKBzHMYjUbk5uZiw4YNER8r3CjKnwXxxMRE1GkpIDC5OBwOtLS0wO12o6GhYcHAFXl9pPMWvgv+zMwMWltbvaKjYK8N9t7FaEWOBJGQmFKp9NqdC1NoAwMDUCgUXim0aAvcc3PAP/6hwMGDSrz7rtxLt6u6msWll7px6aU01q8/FaEcOxbfmZpQoohoVJ6FSISvymKRCwCcOCEHyyJsE7JQYbFY+GdamMKNFhzHYe/evfjc5z6H2tpT6dQ9e/bgiiuuQHl5OQYHB/HDH/4Q55xzDhobG8NOCydd5BJNt5jdbkdLSwtomkZJSUnUN2M4abFAFsRiDEEGOgaZ1cnJyQkYnYVbs/F3fqIwTWpX69evDylsjmShS5bIJRiIzEpqaiqfKzebzTAYDLzCM1kwyWcXCpxO4O23FfjTnxR47TXvlNfq1QwuvZTGpZfSWLMmcMorXuQS6cyJP5VnUq/x1/JMBEvjPeMCBNcmXLeOhVbLYXaWQl+fDCtXRt/44wuyiYnFnMutt96K1tZWfPDBB17/ftVVV/F/rq2txZYtW1BeXo5XX30VX/7yl8M6R9KRS6Q1F7K4FxYWYs2aNRgcHITNZov6WhYjBuHkuz8LYjHamX3JhQhd9vb2YtWqVSgrKws64U+uMxJyIXWbEydOwGq1hlW7SrZusViBdPhkZ2cD8Cg/kKiGYRg0NTXx9QZfhWeWBT76SI4DBxT429+UmJ099T2uXMng8ss9hLJ69eKLV7zVAMQ4l0ajWaC2IGx5JhEhaW2PJ4JFS0olsGkTg48+UuCTT2JDLkBs5F9uu+02/P3vf8d77723oAnHF8XFxSgvL0dvb2/Y50m6tFi43WKk3jA6Ouq1uIs1XR9seMs3JeVvhyH2IKZvId1X6NIXwrRYJHC73ZienkZ2dvYCr5fFkOzdYrGCSqVCUVERioqKoNPpsHr1ajidTl7hWalUwmBYhvfeK8Wrr2ZgfPwU6RcVsbj8chpXXukOOIMSCPGeqRE7TeWv5ZlMu09PT8PtduPYsWMxbXkWYrEN2datLD76yONj89WvRt/h6g9Wq1U0VQmO43Dbbbfh4MGDOHToECoqKhZ9jcFgwOjoaMhyUUIs6cjFZrOhpaWFb/UVMrwYizq5sfyRC5mbycvLC9owEG1aTHgMi8WCpqYmaDSaoIV039eS9xAuJicnodPp+On+SNSpl1K3WCxAUmiFhYWgqHL8619yHDggR0/Pqe8uNZXGuefO4StfobF7txpKZWSLdjwjl3ikqYTT7tnZ2Th58iRWrFgBo9GInp4efi5JzJZnIYIV9AGgsNDzTAmjTTHhdrvhcrlEI5dbbrkFL7/8Ml555RWkp6djamoKAJCZmQmtVguLxYJ9+/bhsssuQ3FxMYaGhnDvvfciLy8PX/rSl8I+35IlF9J2W1JSglWrVi3YYYghI+PPF0ZoQRzK3IxY5KLT6TA8PIzy8nLU1NSE/BAt1hDgD8Lus7y8vIhtVpM1LRbPCMlikePFF7X429+0OHLk1OOmUnE4/3waX/qSHVu2TMNq9Zh9HTnC8im03NzcsNp2l2JaLJzzyeXymLc8C7FYE8HgoOdnK1bEJiVmsVgAQLS02NNPPw0AOOuss7z+/bnnnsN1110HuVyOtrY2/O53v8Ps7CyKi4tx9tln48CBAxERXFKSSzBSYBgGPT09mJiYWNB263ucaBd18vAQsiMqyjabLST5GCD6mgsxTRseHsbGjRsjagkMR9nY6XSipaUFLpcLDQ0NGB0dFc2JUgiSX9dqtTxxL5Vp+MXAssDhw3K8+KISr7xyHlwuzyaFojh87nMMrrySxhe/6IanREMBKAJQ5KXwPDMzg97e3rAUnuNNLomUYgmn5ZnUw8I1mGMYJmhabGiIkEtsNkRWqxWAeOSy2HOs1WrxxhtviHIuIElrLoEWY6vVipaWFgDgW30DQYyaC/GFYVnWrwVxKIiG5BwOB5qbm8EwDFavXh3xdG6o0dPs7Cz/HonIZbRmYf5uaIZh0N7ejqmpKVAUxe80iUHcUsXgIIWXXlLiD39QYnT01EK4cqUbX/saiyuucGPZsuCy+OEqPCeqnTsRCsWLZQgCtTwPDAyE3PLse85gv3OKXGJXzE9JSUnIsK4YSMrIhWXZBV/s5OQk2tvbUVpaGpLJlViT/hRFYXR0FGNjYwvMxEIBiRrC3VUKazosy0Zt67vYrmVsbAxdXV2orq7GihUrvJSKoyEX39fa7XY0NTXxApc0TfN2xiaTCWazGS6XK+ZeLGKl36xW4JVXFHjpJSXef//UtWZmcrj8cjfWrv0YV19djbS08Hef/hSeSScVUXgWztaczmmxcOdcIm159j1noIWdYYCREc/vV1TEllyWakSfdORCFhNSTGMYBl1dXZieng4rLSQGubjdbrAsi8nJSb8WxKEg3FZgoV4Xqel8/PHHorpRCsGyLDo7OzE9PY36+nre7VH4WrHSYkajEc3NzSgsLMTq1atB0zTUajVvZ9zR0cG/juzUScE2Nzc3aYQkOQ44dkyOF1/0DDnOzxMi5nDWWQy+9jU3LrqIhlYLHDpkEk2GRavVQqvV8qKHRJ5mcnISPT094DgOw8PDKCoqionCsxCJTouFi1BbnoUGX8EK+pOTFFwuCgoFFzQajQZL2YUSSMK0mLCI7nQ60dzcDIVCEbbwY7TkQiyIAWDt2rUREQu5DmDx/C3gIbO2tjbMzc156XWJ5UbpC4fDgaamJl5RwN/nG02RnbxWaCBG5nL8HVMmk0GtVqOyshLAKS8Wg8GA4eFhr+6heMi8+8JgAF5+WYnnnlOhr+/UorNiBYuvfc2Nq692Y/nyhe8rFoQoVHgmaSAyECdUeI4VMSciLSYWmQVqeTaZTF4qz263G/Pz80hLS1vw7JKUWFkZh1hxOJnOT4YNVSRIaOTib+EiE+kTExPo7+9HWVnZojIj/kDIJdzw3deCeGJiIqqbOtRW4Pn5eTQ1NSElJWVBm3E00QN5ve/5SRSRn5+PtWvXBnWLjDYt1t7eDp1Ohy1btvCDhuTnwvfl+3ehFwuZgjcajV5T8ERIMiMjI+TvKbz7Afj4Yxl+8xsVDh48peuVksLh0ktpfO1rbuzcycRM/iNUkIi/oqICqampXvI0w8PDoik8EyR7WiwcCDctVVVVvMpzR0cHP6zs2/I8NOR577GqtwCI2XR+vJB0aTGi4jswMBCR/wmBcEYl1PSAPwvimZmZqCIgIrYXbIGemJhAR0dHQCMxMcQnyetJ6oRM9wdz4iSvjZTYGIaBTqfjCXMx18fFroN0/VRVVcHpdPKLZ1tbGziO82rhXexci72n+XngT39S4je/UaK9/dT9s2EDgxtvdOPyy90IpTsz3nM75DMMReE5mmHERPnZxwMqlQoFBQXo6OjAli1bwLLsgpbnjz/eCKAUy5e7YnYdQl2xpYikIhdiA0xRFGpra6MSaQsnHSU8t68FcSzkWwhYlkVXVxempqaCEqlYaTHSpWU0GhdEEYu9NlzMzs5iZGQEKpUK27ZtC+k7COdcarXaK4c+Pz8Pg8HAt6FqtVo+qgln8Wxrk+G3v1XiwAElb7il0XC47DIaN9zgwpYtsZWyjwaBogl/Cs+k3tDd3R2ywnMo54oVElHjATzriEajWdDyvH9/5qc/H8BHH01E1fIcCFLNRQRwHMfvqFasWIGpqamoi5HkRgyFGIJZEIs16e97HUIF5YaGhqBt1WJELna7HUePHuXrV6GmRSIhF9J5lpuby7dzh4pIiIyiKGRkZCAjIwMVFRX84knMq8jiScjG9xxuN3DwoALPPqvCxx+futaaGgY33OCppfiokod9ffFAqJ+d0Ho3UoXnpVbQDxfkefU9p0wmg8WShWPHPIv+LbcsR3Z2alQtz4EgpgtlIpDwmovb7UZHRwcMBgPq6uqQl5cHvV4f9XQ9WdSCkYuwEy1Q5CCWRpmQHIgtMBHZXGzxjZZcaJrGyZMnQ27jFiKcmgvxspmcnER9fT3m5+dhMpnCOpcY8Ld4GgwGvjOIoiio1WoMDOjxyiuFePZZDcbHPZ+JQsHh4otp3HijG5//PBN1lBKvtFikTo2BFJ59a1uEaMhimYiaSzznPYKZk/3xj0pwHIVdu2jU1MgARNfyHAg2m02KXCLF3NwcTpw4AY1Gg127dvG76Whk94UIRgxWqxXNzc2Qy+VBO9HETIuRWtLAwIBfW+DFXh8uyPmsVitKS0uxZs2asI8Ras2FdPbRNM1HYhaLJWz5F7GHKIWLJ+kMeuedfjz/fB5ee20ZbDbPI5CT48b119vxrW9RiECjL+EQi8R8a1tCheeOjg4wDIOsrCzQNA2tVhs3kol21itckDZk3/fGccBLL3mu45prFpoaRtLyHAgWi0WKXCJFX18fSkpKUFVVtSAVFUtyIbpkpaWlWLlyZdDdnhhpMZqWo6uLRWvrAAYHAeAcvPCCGsPDFIaHKQRzBsjMBPLyalBY6EJtrRzLl3NYvhxYvpxDTQ2HQNk0mqbR2tqK+fl5ZGVl+bUhDgWhpMXMZjOampqQlZWFLVu28DvMZBOuPH5chiee0OCVV+rBMJ77bdUqGl/7mg67dg3BajWgr08GozGHT6GJ0e4cj8WXfG5in0uo8MxxHKxWK4xGI0ZHR/n2XdJEIWa9wReJaCDwFyl9/LEMfX0yvlswGEJteQ7UWGG1WvmIaCkioeRSX1/vd+EWQ3SSHEdILizLoqenB+Pj41i/fj0KCwsXPUYkkQvLAs3NFN5+W4Z//UuGDz88CzQd2YNhsQDj46kAUvHmm94/Uyg4bNzIYccOFjt2cGhoYFFaCi/15IaGBr6bKhKE2ulWVVWFiooKr8UtGST3Oc6j8/XTn6q8hCO3bjXj7ruVOO88BhSVBqCW76oiE/DClFBubm5Y7c6ec8df4TmWREZRFNLS0pCWlgar1QqlUons7GwYjUYMDg6ivb2dl6cJtz18MSRLd9of/uAhzy9+kQ6pW1CIQC3PvirPLpcLbrdb1JrLT37yE/z1r39Fd3c3tFotdu7ciYcffhirVq3if4fjODzwwAN49tlnYTKZsH37djz55JNYt25dROdMeM3FH2KRFvNnQRzqMVyuxdsNJyaAN9/0kMk778hgMMR+t0rTFBobKTQ2yvDkk55/KymhUV3twEUXrcT11xdApQrsZBkKAqXFhMrJgepViVZF/vBDOfbvV+HDDz23uVLJ4fLLaXzpS4MoKzNh7dq1Xr8v7KoSpoQMBgPa2trAsqxXoTvUod6lHLkEO59cLkdubi6v6uDbHs6y7AKTtEiRiIK+7/nsduAvf/GQy1e/ujAlFi5UKpVflee//OUv+OlPfwoAGBoaQm5uLs4777yQ/FcC4fDhw7jllluwdetW0DSN++67D7t37+ajJwB45JFH8POf/xzPP/88Vq5cif379+O8885DT0/P6aGKDIifFgtkQRzqMYItzEePUvjlL+X4299kYNnE96hOTCgwMbEM770H3H8/hy98gcXmzbnYs0c88UmXy4WWlhY4nU40NDQELDqGQha+OXsxyOXYMRkefFCNQ4c8t7dKxeH66924804XSko4DA46YLcvfhzflBBRLJ6enubbnUlUE2vjqsWQCHLxPZdve3g0Cs++SIa02KuvKmA2U1i+nMXnPx/9+iSEUOX5O9/5Dr797W/ji1/8IgoKCvDiiy/illtuwbnnnovXXnstouO//vrrXn9/7rnnUFBQgMbGRpxxxhngOA6PPfYY7rvvPt7O+IUXXkBhYSFefvll3HTTTWGfMykjF7lcDofDEfXxyaT/7OysXwviUI/hS3Q0DfztbzL88pdyfPxxgkezg8Bup3DwoBwHD9Zg/34WF1zA4cYbGZxzDhdyF5QvQczPz+PEiRNIT0/Hjh07gi4Q8Y5cTpzwkMpbb52KVL7xDTe+9z1X1PpP/hSLSaG2p6cHLpeL7wrKzc1FSkpK3J0h44nFFvtwFJ5JCi0YMca79dlf5PLyy56o5StfccdckUGlUsFqteKaa67BFVdcgfn5eYyMjIh2fLPZDMAjfAoAg4ODmJqawu7du/nfUavVOPPMM3HkyJGlRy6BIEZazOFwwGw2g6KogBbEoUAYuVgswK9/LceTT8oxOpr4KCUcOBwy/PWvwF//KkdtLYvbbmPwla+wWGzcRVhzmZqaQltbGyoqKhY0YQR6bTwWPb2ewv33q/D733uK73I5h69+1Y3//E8Xystjo/WlUCiQn5+P/Px8r1kRg8GAgYEBKJVK/sElAp2xRDJELsEQrsKzr8JComsuExMU3nnHE8n46xKLBYStyOnp6RHXPnzBcRz27t2Lz33uc6itrQUA3pXStw5dWFiI4eHhiM6TlOQSbVqMyNUrFAoUFxdHVRQjkctbb1G4+WblkiMVf2hvl+Gmm2T40Y843HQTg3//dwaBxBBIvebkyZMYHh7Ghg0bQmqEAGIfuTAM8PzzSjzwgJq3mr3qKjfuuceJqqr47eR9Z0UYhsHs7CwMBgMA4NixY14ikmLb8fpeSzwQbSSxmMIzSTmSLqp4C2X6Kns89ZQKLEthxw46LvcW6cyLRSvyrbfeitbWVl7oVIiFrdeRt5onZVpMoVBE1C3ma0E8NzcX9c7ZalXipz+txv/9X3wVeOOB6WkK//VfCvzsZ3J897sMvvMdBr7lE4Zh4HK5MDU1FXYEGEtyaWyUYe9eDZqaPAvA+vUMfv5zB7ZvD622FMuIihS6s7KyMDY2hq1bt/LyNKOjoyB2vGKJSAKnhv6WolmYP4Vn0kVFFJ4pioJOp4NGo4mL9YIwchkaovDMM56U2He/GzstMV/EQv7ltttuw9///ne89957XnN2xNF3amoKxYJBr5mZmZA3k744bSIXfxbEPT09UUVAr70mw7e/XYKpqaT8mESD1eohmV//Wo59+2h89ass5HJPSzPxWAnHfZMgFq3IbjfwwANq/M//eKakMzI4/OAHTnzzm27EyFcsaqjVaqSnp6OkpMRLRJLI5KSlpfFzNdHIhcRb6ytW5xOmHAFPeuj48eOw2+04ceKE6ArP/iAs6O/bp4bLReHss2ns3i1uIT8YrFZrRF1a/sBxHG677TYcPHgQhw4dWtB5VlFRgaKiIrz11luoq6sD4FlTDx8+jIcffjiicybl4xguuQSyIJbJZCG1EfvCbAbuvFOBl19emvaikWJigsK3vqXEE0+w+P739UhP/wSFhYWYnp6OaDhO7CHK4WEK11+vxfHjnu/lqqvc2L/ficLC+M+ThAPhIuwrIulvAj47O5snm1DbnRMhJBmv86WkpEAmk6G6uhrp6emiKzz7AynoHzsmw1//qgRFcdi/3xk30VKXywWapkVLi91yyy14+eWX8corryA9PZ2vsWRmZkKr1YKiKNxxxx146KGHUFNTg5qaGjz00ENISUnBNddcE9E5kzItFuoQJcdxGBoaQl9fn18L4kgaA3Q64OKLlWhuTt4usFijtVWGq68uwDXXnIEHH3Rheno6ouMEIxen04nOzk7I5XLk5eUhOzs76GL1j38ocMstGszOUsjK4vDkkw5cfHH0g7axRCjEGmq7M2nfDbRwJlu3WKzOF4rCc2ZmJk/OkZptec4nx333eRoLvvpVGuvXx867xRcWiwUARCOXp59+GgBw1llnef37c889h+uuuw4AcNddd8Fut+Pmm2/mhyjffPPNiKOnpIxcQiEFoWtjIAvicKfrx8eBCy9Uorv7s0ssQrz8cjo++IDBf/xHDs49N/zXByIXs9mMEydO8Ckg0pqq0WhAUZSXAx/HAf/1Xyr87Gee1MeWLQyee87utwssnOtKRgRqdxbWHoTqzsKF83SOXMj5/JGZGArP/sCyLN59NxcffyxHSgqHH/7QKfZbCgqLxcLPvoiBUDYfFEVh37592LdvnyjnTEpyWcxFklgQp6WlLXBt9HecUDA4COzZo+Id5iR4MDIix733NmB8nMb+/QzCcJr2Sy6Tk5Nob29HdXU17zBJLAH6+/thMplw/PjxT6VFcvHkkyvx+997iOX22124/34nxJCviudOP+JuG592Z7vdDoPBwC+cpN05NzcXSqUyKRb7WCGUSCkUhee0tDT+MwtW37LbWTz+uGcu7vbbXSgujm9kSNqQ4/kZi42kJBeFQgGO4xZMyfpaEPtqWfkiVHLp7qZwwQVKTExIxBIITz6pwNGjMhw44EaIYs5e5MJxHHp7ezEyMsLLxbjdp+YFtFotsrOzwTAMamtrYTDM4s470/GPf2SCojjs3duL665zwenMhUKxdH3FI4Vwgpu0O5OFc3BwEFarFRRFYXBwMKShxGgRz8iF47iIyGwxhWeaphfI05D39Oc/F2B8XI3CQha33x6/DjECi8USljx/MiJpay6Ad6+5PwvixRAKuXR1UTjvPCX0+qX7JcYLjY0y7Nqlwh/+4MbOnaGF2RzH8QrNFosFO3bsCJhHJr8vk8lx//3L8I9/KCGTcfif/5nD2WczMBrNGBwc9Nqx5+TkhCUjEk/Eut2ZLIrV1dXQ6/Xo6OiA1Wr1Gkokn5HYHVXxnDsRq806kMIzkcMn95VMlo/nnvPsoH74QxcSoXq/1F0ogSSIXPylTnxdJANZEC+GxcjFZgOuuUYhEUsYmJ6mcP75Sjz2GI0bbwxe4CTT/UePHoVarQ6pnZnjODz7rBIvvaSEXM7h+ecduOQSGYBS3maWDCgODAygo6PDa0AxlBmIeO8G43E+pVIJuVyO2tpa3orXYDDwHVWhpoNCRTzTYsGMuyKFUOGZyOETeZr9++WwWJSoqJhHQ8MAZmfFVXgOBcK641JFwsnFH4iLJE3TQS2IF8NiopN33aVAV5c4N4xW69HrstmW7s0QKtxuCrfcosTkJI377gvs1jg3Nwe3242SkhK/Dpi+3yVFUWhrS8f3v+/ZPPz4x05ccol3R5hwxqGmpoZXkjUYDBgeHvZS6k3mqEZsCNNUMpmMH0okHVXkMxK2O0ejVpyIyCWWizu5byYn8/HPf3o+j+9+dxIul110hedQsNRdKIEkJRfA82X39vbCZDIFlHQP5RiBWpoPHpTh178OvR9erebgdAZ+mNxujwQ+gVbLwW4/vYlm/34FbDbgwQcXEszIyAi6u7shk8kCOmD6RqxWqwz79q0FTVP40pfcuOWWxTWctFotli1bxjcHkKhmcHAQHR0dyMjI4MkmHpPdQsRbuDLQe1MqlV7S7larFQaDATqdzkutmKgKhELI8ay5xEt9wG4HbrxRA7ebws6dOuzZo0B+/jq/Cs9qtZrfwISr8BwKSOSylJFwcvGXFrNarXC73bDZbEEtiBcDiVx8H4SREeDb3w79rctkHEh2LSWFg8MBsCwFpZIDywIMQ3kRC4DTnlgIfv5zBWw2Cj//OQ2ZzLMQdHV1YXp6GuvWrUNnZ2fIx/rf/82BXq9GRQWLJ55whD2wJoxqAI94qcFgWBDVsCwriqVDMiHUxV6YDiovL+fVig0GA3p7e+FwOLzUnQOlZuKdFvNnOSw2fvQjNbq65CgoYPGd73RALvdMsYut8BwKYqUrFk8knFx8QSyIlUolqqurIyYWwEMupNOEfNk0DVx3nZIXOgwFLEuBZT3RiNPp+XtBAQe3GzCZKFAUh5ISYHoaC0jms4BnnpFDLufw0EN2NDc3gaZpNDQ08O3koWB0lMJvf5sFAHjwQWfYLn/+oNFovKIas9kMg8GAqakpuFwuNDY2xiWqidcOP5Lz+KoVC9Wdh4aGeEImCyepmcUzLRYPInvzTTl+9SvPSMNTTzmQmuoIeM5ACs/E/hkAn0LLzc1doPAcCiRyERG+FsRDQ0NRe9cLu87IjfLrX8tw5Ej4N6pGw8LppMCyHjKZnQVcLurTnwHj4589UhHiyScVcLkmcMMNKmzevBkKhQJWqzVkcnn0URWcThk2bjThwgvFvy2FbalqtRoGgwH5+fkwGo18VCPsrhLDCz5Z0mLhgLQ7C5snyGdE0ow5OTlxfW+xVgPQ6SjcfLOHAG66yYXduxm8//5Cs7BACKTwPDU1tUBlIdS0o9QtJhL8WRCPjo5GnboQkotSqYTbDfzsZ6G95dRUDjYbwHEUtFoaTqccLOuRHpmb8xBLdjYHk4mC3e4hHLn8sxm5EPzv/67C5z7nQl3dKW+RUBah+Xngz3/2LObXXTcIiqqJ6XUCnnvDX1QzNDSEzs5OfhGNtUS+WIjFYu+bZiQ2xsRK4Pjx4/zPc3NzY+ZZE8soieOAW2/VYGZGhjVrGPzXf3km8f2ZhYWCUBSeSXdjTk5OwHtLTNHKRCHh5KLT6dDc3LzAgjhUfbFgoCjKSwLmT3+ShezHolJ51IJTUznQtCdiqajgMDPjSYstW8bxVrlqNQeZzLvOQlEcOC65F6RY4N//XYkVK9zYvv3UTnqxXfXBg0pYrRQqK12orTXF61J5CKOa6upqOJ1OvlYzMjICmUzGRzRkGj4cxIOY4lFgJzbGBQUFmJmZwbp16zA3N4eJiQn09PQgJSWF/5yysrJEizZiGbn89rdKvPaaAioVh9/8xgGtFvwAtxjn9KfwTAY5h4eHAyo8W61WL+n7aPDee+/h0UcfRWNjIyYnJ3Hw4EFceuml/M+vu+46vPDCC16v2b59O44ePRrVeRNOLlarFWvWrFlgQSyGGyVwataFZYH//u/Qu8NMJgoyGfcpyciRlsZibo7iCcdk8rQda7We2otvJ9lnkVgAT0T39a8rceyYC1ptaOTypz95bsMrrrDETXU2GNRqNUpKSniJfKGESFdXF9LT0/laTbCoZimmxUI9FwC+E6+iooJvdzYajejs7OSn34XqzpFeX6zI5eRJGe6917OY79vnRG2tJw1P3p8Y6sq+8E07+io8Dw4OorGxEfPz8yHroC0Gq9WKjRs34vrrr8dll13m93e+8IUv4LnnnuP/Lsa5E04uFRUVfkkkWjdK3+P83//Jwp5pyc4GDAYKCgULmgYsFk9abH7e0yGWmcnB5fKkwlJSPB1lwdqVPysYGaHwrW8p8PvfLz7MaLcDR496HuLzzgu9RhMtQj2Pr4SIMKoRGn+RRVSsBSESxJtchAu+v3Zno9HItztH07obC3JxuTxtx3a7x6fl5ptPtb2TdSfWTQT+FJ5lMhkOHTqEDz74AK+//jree+89nH/++Tj//PN5S+JwsWfPHuzZsyfo76jVat4wTCwknFyild1fDJ7jMPjpT8N7XWamp2gPAIWFLoyPa5CRwSEvj8PsrAyZmZ42ZJIKs9s/u9GKP/zjH3I8+6wKK1cGXxw+/lgOl4tCcTGLykoGfX3J7c3iG9XMzc3x6TPfqIakz06XtBjBYnMn/qbfSd2hr68PDofDSxZ/sU69WJDL/v0qtLTIkZPD4plnHBAenry/WEQuwaBUKnHWWWfhrLPOwu7du/HFL34RaWlpeOONN/Dee+/hlVdeidm5Dx06hIKCAmRlZeHMM8/Egw8+iIKCgqiOmXByCQSFQgGnM3qZa7lcjvfft+L48cXz5Lm5nnQXy1LQagGzmcK6dSz6+jy70YICDn19MqhUnmn8+XmKH5aUiGUhHnhAjcceC95K/vHHnltw1y4GMlnytuz6g3DnSaIaUvAmLamAp70+1lFNvFNwQOifI/HsEbbuEnVn0u4cTBZfbHJ5+205Hn/cc44nnnAuUDxmGAYURSW0icNms6GmpgaXX345brvttph+v3v27MEVV1yB8vJyDA4O4oc//CHOOeccNDY2RtWkkbTkIkZajGVZOJ1OvP56aMex2U7NsExNeTrA5uYoOJ0U0tIYDA56bvCiIk/qR6XikJoKvrAvwRtWK4Vf/WoDrryS9WtBTFEUeno8n6lvvnspghS8i4uLwbIsdDodOjo6MDo6is7OTq+oRmzV4njXXKJZfLVaLUpLT2nFkU49IovvW9MSc86lu1uG667TguMo3HCDCxddtDA74qvGHm8QXxphK3Isv9urrrqK/3NtbS22bNmC8vJyvPrqq/jyl78c8XETTi6xSos5HA40NzeDpmn09S0P6TUkxUXWt6wsz3CfRsMgNZWBxSJHeTmHsTHPzxkGkujlIjh+vAh//7sdV1zh/+c9PZ6HeNUqNiJb5GSFTCbjCWTr1q1eUc3Y2BhfqyH1mmijmninxcSM/khNCzjV7mw0GtHa2gqO4/ghRIfDEdFAIoFeT+HKK7WYm6OwcyeNhx/2nxmJt8umP1gsloS1IhcXF6O8vBy9vb1RHSfh5BII0XSLGQwGtLS0IC8vDxSlRlNT6CJzWVkc9HrPn9PTAZMJqKhwoqsrBUrlqWJ+VhYX1pT/Zxn336/CpZfSfk2+RkY8D3FlZfwmvoH4REjCc/hGNUS1eGxsbEGtJpKoJhGRSywg/Jw4jsP8/Dz6+/thsVjw0UcfISUlxUvdOdQIw+kEvvpVDYaGZFixgsVLLzkQKOMT6YyLmEjkhD5J60bbCp205BJJWozjOAwODqK/vx+rV69GaWkpfv/7Qdjti98oMhkHlqWgUHgK8+vXs2hv9zxAs7Oej6mwEBgb89RZYjQvdlpiYECO3/2OXSDRPzw8DbPZo99UWMicVpFLMPiqFrtcLr4G0dLSAuCUF0s4Uc3pJMcCeN5PRkYGsrKyoFarUVNTA5PJBIPBgK6uLrjd7oBmX97XC9x+uwYffaRAZiaHP//ZjtzcwPdZsqTFxCIXi8WCvr4+/u+Dg4Nobm7mP7d9+/bhsssuQ3FxMYaGhnDvvfciLy8PX/rSl6I6b8LJRay0mNvtRltbG+bm5rBt2zZkZmYCABobMxd9LZm0B8ALVJLp/OxsDpOTKigULF+0l8s9viYSQsdDDynw1a+6oNF4Hp7u7m40NxsBVEChYNDdfRTp6WlgGMbLJG6pI5QFX6VSee3WSQeaMKohZBPIV2SppsVCPZ9MJoNSqURBQQEKCgr4BdhgMECv16O/vx8qlcpvu/PPf67CH/7g8Qd64QU7Vq0KLiuV6MjF4XCAYRjRyOX48eM4++yz+b/v3bsXAHDttdfi6aefRltbG373u99hdnYWxcXFOPvss3HgwIGo03IJJ5dACCctNj8/j6amJqSkpGDnzp1eO70TJxb/gObmPP8nJCOXc7xWWF6e59/y8z3tyErlqcl8hYIBTZ8ei2CsMT5O4cABGa65xomWlhbY7XZUVNQDALKzKaxcWYPJyUnQNI3333+fH8DLzc2NSrzUH+I9DxIOhPIhJKohtZq2tjZwHOfXYfJ0SYv5g78aCEVRSE1NRWpqqpfZF3GVtNvtyMzMRGPjCjzwQDkA4L//24lzzll8TUl0zcVqtQKAaORy1llnBb0X33jjDVHO44ukJZdQ02ITExPo6OgIaCY2Pr54/ophPK8hOpl5eZ7IRKPh+J85nZ6braSEw/Cw588SsYSHJ56gUFl5DFqtBtu3b8cnn3g+x5QUDtnZ2VAqlTCZTKivr/fyziCyImK5KC4l+FrzCh0mu7u7kZqaitzcXNA0HbeUYrwX31DSVEKTOMDT7vzeezbce6/HrviSSwbR0DCDqSn/7c5CJDpytlgskMlkom+q4o2Ek0ugHRCJXALtkliWRXd3NyYnJ4Oaic3NhX6TEHJJS+MwPU0hNxcYGPBEMuS5NZkYALLPrHZYNGhrU2B4uAxXX70MAGC1ej5UrZYDwzB8GlSr1WL58uW834ivi6KwHhErsUSxIOYOn9QgMjIyUFFR4RXV6HQ6cByHtra2mH82iYhcwtVzMxpTcNtteXA6Zdi9241f/EIOs1nt1RYeKNWY6MiFtCEnu1jqYkg4uQSCUNHYVypCqKLc0NAQ0HKUYQCLJXRyIQRCTmc2e/5fVMRgfNyz05mb89zkSqVHQkJCeHj//Qp85SvOT2eQPJ9laioFmqbR29uLrKwsr4hVJpMhLy+Pz7NbLBbo9XpeLDEtLS2iLqvToXFAGNUMDg7CbDYjLS2N/2xIVJOTkyNqxBdPo7BIzme1Al/5ihZTUzKsXcvgt791ICMjG3l5Hgkf31Qjy7JeQ5yJLugTF0qJXESAvy6hQOSi1+vR0tKCwsJCrFmzJuhNQMghGMiEPUV5BCgBT0cYAGRmAhbLqSHJrCya7xxzL+7AK8EP/vY3Of77v1lotTJ+rkippNHY2Iji4mKsXLkSHMd9KjbqcRElEQ1FUUhJSUF5efmCnXtLS4uXzlck6sViI54ERlEUVCoVKioqvIQkDQYD2tvb+QVUjKgmGWougeB0Al/7mhYtLXLk5bE4cMCOjAzv3/GXahT6rygUCqhUKhgMBmRlZcWdaE4HLxcgScjFH4itKU3TUKvV4DgOAwMDGBgYwJo1a1BaWrroMUwhqLeTBU6tBhyOU26VgId4AApOpydfplKdusmklFhkMJspvPOOEhddxPKk7XKZUV1dzX+nxCoB8Cwswv98o5qCggJ+kZibm4Ner+d1vohqr6/TZDwXxkQV2X2FJEmtZnJyko9qhPMi4UQGiegWC+V8bjdw7bUa/OtfCqSkcPjDH+woLw9O8MJUI7Ew7uzshN1uR3d3N9xuN7KysvgIMFC7s5gg5CJFLjEEqbu43W60trbCYrFg+/btyPDdigRAeFbGnv+npXF8ustgoAGooFLJYbUCn3okSYgSb70lx4UXMhgdnQGwHHl56Sgt9d8ZI5PJvIiGeG34i2rS0tKQnp6+QL2YOE0SohFDbTvZECxK8q3VCKMaYR0rVFveZIxcaBr45jc1+L//U0Kj4XDggB3bt4fvZKtQKKDRaJCSkoKqqiov2+f+/n4olUov2+dw1J1DhRS5iIhAw3NyuRxzc3NoampCWloadu7cGVaqIxzNL7LeZGeDNxSzWDwfj0JBZmCW9k4iWfD223K0tLTAZPI4HKalKQEsXsAiCwxJU5BIhhCOkDTkcjmKioq8PFn0ej0GBgZgs9mgUCgwMjKC3NzcmO1Gk9XPxTeqsVgsMBgMfFpose68RHSLBTsfwwDf/rYGBw8qoVJxeOklO848M/INBEnFC9udly9fzrc7G41GDAwM8LbPhGzEciy1WCwJm84XE0lBLoHAcRw6OztRVVWFysrKsL+4cOwJCHHMzrIAPIuXSkXB7fYIMAIeGX6zWSKYaDE0JMPIiBxFRZ75g0hltfxFNUKyEUrDZ2RkIDMzEzU1NRgaGsLk5CRMJhMGBgb44bvc3FxkZ2cvyQHOSKMJiqKQnp6O9PR0rFixAm63m5+CJ1GNcOZIo9EkVeTCssAdd6hx4IASCgWHF15w4Lzzohe89XcPCKPfmpoaOBwOXlnB11UyGr04KXKJIRiGQVdXF1wuFyoqKlBVVRXRcZYtC3/nOD9/6qbKyPB0npDi/aezTRJEQFOTAmazDkAZFIro01ShRjUURfGpj40bN3oN3508eRIul0vUAc6lVt/xnYL3F9WoVCq+4SIeEUyg83AccNddarzwggoyGYdf/9qBCy+M3gMq1Al9jUaDZcuWYdmyZV7ePr7KCuF26/kqIi9VJAW5CB8Km82G5uZmfrcZzYes1QK5uSwMhvAeADLDYrF4/i6XewiGpqWoRSxYLKsgk9kAAHr9BI4eHUReXh7y8/NFkaMPFNUQMqEoCi6Xi/dkyc7ORk1NDS8pQhwUtVotTzTh+sIna1osVASKakZGRmCxWLyUFIiVcSzgrxWZ44Af/lCNZ59VgaI4PP20A1/+cvTEAkSmLebr7UM6GY1GI9+tF+pnJaXFYgCdTofW1lYUFRVhzZo1aGpqitqNsqSEC7sQn5rqaUGenyfdRVFdggQ/OHlSi40bPe2wFRXFKC/3+J+cOHECFEXx5lJitBQLF6bOzk5YrVasX78eMpmMj2wAz2Kq0WhQWlqKsrIy0DQNk8kEvV6Pzs5OPkVEriuZBjjjMXtCohq73Q61Wo2KigoYDAZMT0/j5MmTURFxMPiLXB58UIVf/tKTdnr8cSeuvlocYgHE0RbzbXcmEaDwsyLpM992Z6vVylsQLGUkBblwHIfe3l4MDQ1h7dq1WLbMM8Edjew+QWkph7a28F7je1+RdmWinCwhegwOUli92vNnjUbuJUdPiu+Dg4Nob29HZmYm8vPzkZeXF3GLptPpRHNzM+RyObZt28YTljCq8dfqnJubi/z8fK8FQtjOKxzg9LcgJbOOWTTnksvlvJWxr5JCV1cXaJrmFYujTS/6ksvPfqbCI494iP2RRxy47jpxh87ETvf5RoBk02I0GtHT0wOXy8WnzWiahtVqxfLloXlQLYb33nsPjz76KBobGzE5OYmDBw/i0ksv5X/OcRweeOABPPvsszCZTNi+fTuefPJJrFu3LupzJwW59PT0YHJyEjt27PBS4hTDjTKS72huzrMgpKZyfDEfgEQsImJ4mOK7+YQBgNA8qqamBna7HXq93kv5lkQ1OTk5IaUvLBYLmpqakJ2djbVr13otHMJaDYlggg1wpqam8ikio9EIvV6/QFBSDPOvcJFoVWSFQuFVq7FarV76cCSqycnJCXswkZyP44BHHlHhwQc9N8yPf+zAf/yH+NPMsZ7QVygUyM/P5zctpN3573//O+6//36kpqZiYGAAtbW1OPfcc5GVlRXxuaxWKzZu3Ijrr78el1122YKfP/LII/j5z3+O559/HitXrsT+/ftx3nnnoaen5/RQRa6srMSKFSsWpD+idaMEgK1bOTz7bGSvFRKLBHFB0xSmpjyfr0oVeNdNdMZIKyhZ0Lu7u+FyuZCTk8OTjb/dscFgQGtrK8rKyhbtOCREE+oAZ35+Pt/OKyzmdnd3Iz09HampqTxJxXrhTyZVZDJzJIxqSAcaGUwMp2nCQ/oy3H23Gs884yHtH/zAie98JzYyGfGU3Be2O99yyy247rrrcNVVV0GpVGLfvn34yle+gq985St48cUXIzr+nj17sGfPHr8/4zgOjz32GO677z7ezviFF15AYWEhXn75Zdx0000Rvy8gSchFrVb7JRGFQgGn078VaajYvTv8QSoJoSOaVCFRlw4gDbcAcrnca8dntVqh1+sxPT3Np6kI0WRmZmJychLd3d1Ys2YNSkpKwr6+SAY4Kysreaveqakp0DSNDz/8kCdBov4cCySrWZjvTt1qtcJoNHo1TQSqPwCAy8Xhjjuy8P/+n4dYHnkkNhELQSK1xVJTU+F0OnHjjTfiG9/4BsbGxjA6OhqTcw0ODmJqagq7d+/m/02tVuPMM8/EkSNHTg9yCQQx0mKFhUB1tRl9fYubhkkIH9GkCvv7Pa8N5goYCMLdMUlTEeOolpYWvg25vLwceXl5EV8jQbgDnIWFhUhJSUFbWxvWrVsHg8GAwcFBdHR0IDMzk9+1iyXzkei0WKgQfm/CpgnfqIaQDcdp8ZOfbMXx41ooFJ6usKuuEq947w+JNgsTulCWlpaGJHUVCaampgAAhYWFXv9eWFiI4eHhqI+fFOQilhulPzAMg/r6GYlcYgSVioPLFdlCQxol8vKiL0YrlUoUFRWhoKAA7e3tMJlMyM/P5+VfMjIy+KhGjEnqQK3OwjSay+XyGuCsrq7mB+8I2RA5ERLVRLpjjndBX6zF11/9gWwSmpuH8NBDDejoKIJazeKFF2y44ILYv89ESu6TyC6erci+z4JYG5WkIJdAiLZbzGazoampCZs3q/GnP9WIeGUS5HKPkRr5emQyFiwb2QMpQmABAHC5XGhpaQHLstixYwffKkwWdL1ej6GhISgUCq+mgGj1ofxFNXa7HUNDQ0hLS/Ma4FQqlSguLsayZcu8Bjh7e3vhcDi8ahGBrCT8Id41l1gsvsL6g1pdjltu0aCjQ4GUFDceeKARKSk6NDdnRfT5hAqyUUikSkO8yKXoUwmTqakpFBcX8/8+MzOzIJqJBElNLtGkxcjMTElJCTZvNiMjgwnLOExCaFAqWTCMHEDkC1skaTFfkI1EWloaamtrvRYH30lqMrvS29sLu92O7OxsvtVZjAXL4XCgqakJGRkZWLt2LSiKCtjqTDrjVq5cye/aDQYD+vr6oNFovOZGgi14SyUtFgqGhihcckkKBgdlKChgce+9H+Daa+vgcKzgNwnCzycnJ0c02R7SMZhom+N4kEtFRQWKiorw1ltvoa6uDoBng3b48GE8/PDDUR8/KchFzLSYUJp/3bp1KCkpwSeffIILLrDgj3+UUmNiQCY7RQak5qJUerw0woVczqGkJDpymZ2dRXNzM0pKSlBTU7NoRxhZsFetWsU3Beh0On64jUQ12dnZYS8yZrMZTU1NC67Ft1bjrylArVZj2bJlWL58ud9ahLDV2Z9ycbJ0i0WDzk4ZLr3UY/S1YgWLAwdMmJycg0wm46OasrIyMAzDfz5EtkcMaXxCLomKXEhaTCz5F4vFgr6+Pv7vg4ODaG5uRk5ODsrKynDHHXfgoYceQk1NDWpqavDQQw8hJSUF11xzTdTnTgpyCYRw02JutxttbW2Yn5/3kuaXy+W47jojDhzIkHxYRIBczsHtlkGpZMAwnsU30pR/eTmHaJqnpqam0NHRgZUrV0Y0eEYWLOEgoF6vR0dHB2ia5usheXl5i07k63Q6tLW1obq6GmVlZX5/x7dWE6zVWTjASeZGyIS3r3Lx6ZAW++ADOa65RovZWQrr1jE4eNCOjAwaU1PUgvcml8v570U4K0Kk8SMVIxWmMBMBm80GjuOinjEhOH78OM4++2z+73v37gUAXHvttXj++edx1113wW634+abb+aHKN98801Rzp/U5BJOWsxiseDEiRPQarVoaGjwGmKTy+UoK3PgkktY/O1vUmosWlCUh0kUCgp2OwWlkoHbHdliU1UVGStxHIehoSEMDg5iw4YNyM/Pj+g4QvgOAs7Pz0Ov12N8fJz3XQ+kfzY2Noaenh7U1taGnK8Op9WZzPuUl5fzGl96vR7t7e38Yq9QKOByuWI+wBmLtNjvfqfEHXeoQdMUtm9n8Kc/2ZCdDVgsixfX/Unjkwn43t5eOJ1Orw69YFENaUNOFLlYP1XHFSstdtZZZy3q9bNv3z7s27dPlPMJkRTkEm1abGpqCm1tbSgvL/ebFiEktXcvI5GLCJDLPQ+7Wu2ZslcqZXC7I3sYq6vDn0NiWRbd3d3Q6/XYunWraLs8IYQGW5WVlXC5XLxSgK/+mdlsxsTEBOrr6yPWhPLXFBAsqsnLy/MiwY6ODszOzuKDDz5Aenq6lyyN2AulmFESw3gEKJ94wkOIX/6yG08/7QCZq4ykc0sY1QDwqmUtZrGQyE4xwEMuCoUiqXTrIkVSkEsgKBQKfjfnX3Kbw8mTJzE6OooNGzYE3DESctm2jcPnP8/i/fcTd/MsdajVHBwOz59PdYqR/4c/ULlqVXiRC3Eldblc2LZt26KuiWJBpVKhpKTEy3xMp9PxOloZGRkwm81QKpWizK4E86rxjWpSU1Oh0WhQWFiIvLw8fiEdGxsDRVH8QpqTkyPKAKdYabG5OeCGG7R4803PMnTvvU7cfbfLSyhWjMU+JSUFKSkpXoZfwg49UqvJzc0FTdMJJ5eUlJSEXoNYSBpy8edGSXYU/oaaSNupw+HAjh07goaRcrkc7k9NWb77XUYilyggkwEcRyEri8PsLAWK4hDNnOv27aG/2G63o7m5GWq1Glu3bo2JxWwokMlkSE9Px+DgIDQaDdasWcOn0Ei+n3SfidHFtNgAJ03TcLlc/HNSWFjIi4ASWZrh4WF0dnbyzom5ublIS0uLuOgdLXkODVG46ioturrk0Go5PPOMA1/60sIshdiRhNDwC4BXrWZgYAByuRwcx0Gn0yE7Ozvu99jpIrcPJBG5+AN5mGia9tpxEevj9PR0NDQ0LHoDyOVyOD7dbp9/Pouzz2bx7rsSwYQLhYKDb5YyIwO8O2e4641GQ8Ns/hC9vfm8ZEughYR85/n5+Vi9enVCd3ZOpxNNTU1QKpU8yWVlZS3QPyOGd4vpn4ULYVRD0zTvF5KTk+PlwElIMCMjA1VVVV4DnMPDw1AoFF6yNKEupNGmxT76SI5rrtHAYJChuJjFH/5gR329//RorK0ESFRTWloKhmEwPDyM8fFx9Pf3w263e3WgiaWmEAyniwslkOTkQlHUgqI+Ka5WVlaGbH0sPAZFAU8+6cbmzSp+QlxCaJDJAJeLgkbD8a6cJNiMZFJ/xw4OK1dWQafToaWlBQD4DimhjwvpwqqsrER5eXnCiq2A5+E/ceKEX4VlILD+2dTUlF/9s2gWTpqm0dLSApqmsW3bNqhUqgWtzkKvGuEAJ8uyfHrIdyFdrOgdzYL/0ksK3H67Bm43hU2bGPzxj/agrejxrIHI5XKkpqYiJSUFmzdvht1u96rVEDUFUquJRVRjs9kibqNONiQNufhLiwGniIEUcScnJ7Fp06awuoN8CaqyEti3j8HddyfN2096yGSnohatFjCZKKSnc5if9/xbJK3Iu3ZxKCws5JWFfX1csrKyoFAoYDAYsG7dOn6iOFEg8zTLli1DdXX1ogvAYvpnHMd5kWk4XV4kelKpVNi8eTO/0AWTpfFtCiDOicSBU5geItYG/gY4I0mLMQywb58ajz/ueY+XXurGM884FhUtjfXApi+EKXitVstre5FajdFo5Mk4FhpxUlosjlAoFLDb7eju7gZN02hoaAh7itpfS/OttzL4f/9Phk8+kdJjoYJlKaSkcDCZTqXBOM7zbzZb+A/WRRed+k4oiuIXu+rqatjtdnR0dECv1wMA+vr6YDabIx5ujBYzMzNob29HTU1NxEZORP+MuBMSMh0eHkZHRwevf5afnx+0HmK329HY2IjMzEysW7cu4GcRqFYTaICzpKSEX0jJgCIxsxLK0oSbFtPpKNx4owaHDnmWm7vucuLee10LTPn8Id7dW4HOJ6zVEJ8hg8EAo9HIa8SRIddoJIWktFic0dHRgby8vAWyHqHCH7nI5cAzz9DYsUMZcRvtZwksS0Eu5/BplgWZmRzMZk9BP5LJ/KoqFuvX+w93GIZBT08PnE4ndu7cCbVazUu0C4cbyY4/1m2bo6Oj6O3tRW1tLQoKCkQ5pi+ZOhwOvtU5mP7Z/Pw8Tpw4gaKiIqxcuTKsRT6cAU5SixGKSRLjLwCYnJyEXC5fNLX30UdyXHedBpOTMqSkcHjiCQcuvzx01Y1EkEsoa4wwqhGmGAcGBqJSvpYilxjAnzLn6OgobDYbSkpKsH79+ojDzkDDmOvWcdi3j8F99yXNx5DUUCgAh4OCSsXBZvP8W0pKZKZql17K+G0ACGRHLKxjWCwW6HQ6jI2N8R1Qoez4wwXHcejr68P4+Djq6+ujcgRcDBqNxmux8qd/lpqaiomJCVRUVGDFihVRvc9wBjjJtRGJ/I8++ggMw6CjowMMw3jJ0hCi5zjgiSeU+NGP1GAYCqtWMfj97x1YvTq8uaZ4k0skcvuEjHNycviohqQYyUYh1KjGZrNJkUsswTAMOjs7odPpkJGRgezs7KgepGCT/nv3MujqovDii9JwZTDIZBycTs93oFAANhsFpZKL2K3T3+41mB0xgdCPnBhzGQwG6HQ6rx1/fn5+yDbI/sCyLDo6OmA2m7F169a4PvD+9M+GhoZ406iJiQm4XC7RUoTheNUQUqqoqEBGRgYsFgsMBgMmJib4hgWVqgAPPliNN97wzCBdfrkbv/ylA5FsyJM1cgkGrVbrJZRKajXEzydYO3i85fZjiaQjF7vdjqamJlAUhZ07d6Krqytqw7Bg5MIwNG66qQUtLdVoa8uJ6jynM8hwpEZzqr7CRmjyecYZDDZs8E6JhWNHLASpFZDhRrLjJ2k1kt7Jz88PeeCSdGG53W5s3bo14dPSJpMJ09PT2LhxI3JycvgUYXt7OxiGCUv/LBQEG+C02+1wu91gGAY0TSMlJQWpqalYsWIFXC4XPvjAiltuKcD4uAYKBYM77xzBN79JQ6XKARC+LM1SiFyCQRjV+Pr5DA8P87Uc0hJtsVhEMbfzh3379uGBBx7w+rfCwkLeNExsJA25UBQFg8GA5uZmFBUVYc2aNZDJZKK4UcpkMr/HIDLtCoUCf/+7Eueey6K/XyrwB4PDQVR+PX4ukcDX+3x8fDwqO2IC4Y6fSNjrdDovG2Qy3JiZmemXwIhcvlqtxpYtWxI2qAmc0k8bGhpCXV0dLy2zmP4ZeY9iSL8Ioxqr1YrW1lYUFRUhIyODJx0PKLz4ogZ3350Dp5NCWRmLp57So7R0DmNjBnR3d/GyNHl5eSGnL2M95+ILlmVjZkMNLLR/MJvNMBgM+Nvf/ob7778fFRUVKC8vx4kTJ7Bp0ybR3/u6devw9ttv83+Ppfpz0pDL6Ogo2tvbsWbNGi9bT4VCEbUbpUKh4Hdg5IYmRFZcXMwP5R08SOPMM5V8N5SEwIiUWFavZrF7tyfk4TgO/f39GB0dRV1dHXJyxIschWKGwjZgnU7HR8YkosnNzYVCoeDTcjk5OfzmJlHgOA49PT2Ynp7Gli1b/OqnBdM/GxkZ8VJWjlb6ZW5uDidOnPBqwybPlMnE4D//U4s//ckTNe3e7cLTT9uQk6MGRa3wSl8aDAaMjIx4dV8Fq0MsxbRYqBD6+XznO9/BRRddhDvvvBMzMzM466yzkJKSgq9//et49NFHRTunQqGIW0t/0pBLdnY2tm7duqBoKkbkIpSRkcvlGB4eRm9v7wIiW7mSwyuvuHHJJRLBxAp33+2GTHaqpjE7O4utW7fGPM8sbAMmO0Yi19LW1oa0tDRYrVYsW7YMq1atSugQG/ls5ubmsG3btpCn+v3pnwnfY1ZWFp8+C6eDyWQyobm5mW8kIJDJZPjoIxm++c1UDA3JIJNx+OEPnbjtNvunskCe1CdFUfyiJrw2YvUs7K4ihm3k2hI55xJvVFVVAQBuueUW3HDDDThy5Ah0Op2o5+jt7UVJSQnUajW2b9+Ohx56CJWVlaKegyBpyCU9Pd1vTlwul8PlckV1bEIuLpcLfX19MBgMfokMALZt4/DWW25cdJESU1MSwYiJLVsYXHEF42VHvG3btrjXNIQ7xpqaGoyOjqKnpwcpKSkYGxuDwWDgU0tZWVlxXWxomuaFObdu3RqxfL7ve7Tb7XxUE47+mV6vR2trK1auXOm1EXO7gZ/8RIlHH1WAZT1psF//2oVdu1gA6kUHODMzM5Gdnc3PNJGoZnBw0Eu1mKbpuN4f8Yxc/IEU9FUqFc466yxRj719+3b87ne/w8qVKzE9PY39+/dj586d6Ojo4LXWxETSkEsgROJG6Quy8zlx4gQUCgUaGhqCFndrazm8844LF1ygwtCQRDBiQC7n8NhjLtjtge2IE4Hh4WH09/dj48aNyM/P5w3DiOQMy7IRT9GHC5fLxdcAxa73ED+YxfTPhI0P09PTaG9vX6CO0NdH4cYbVTh+3PPdXX01jZ/9zIVMgdFrOAOcJOISTsITh0mHwwGtVssTjhg21MGQyMgFiG0r8p49e/g/r1+/Hg0NDaiqqsILL7zAm4iJiaQnl3DdKP3BZDIB8LgObty4MaSbp7ISeOcdFy6+WImODqnIHy3uvJNGRYUJH38cmh1xrEHsGiYnJ7F582Zkfroy+hqGzc3NeU3RZ2Zm8ouwmEKGdrsdJ06cQHp6Ompra2O6wPnTP9PpdF76Z2q1GiaTCevXr+cHRzkOeP55Oe66SwWbzaOM/fjjLlx++eLPZzgDnEQNoKamBi0tLaAoCnq9Hn19fdBqtXxUE4uoMpGRC/kuYuFP5A+pqalYv349PxgrNpKeXKKpuZBBzJ6eHigUCqxYsSKsm7GkBHjrLTeuvVaJt96SCCZSbNvG4JvfHEVjY+R2xGKCZVm0t7fzNY1Au2GKopCZmYnMzExeVZikloj+lhjS+sRFtaCgIO71HqH+WUVFBdxuN7q7uzE9PQ25XI6Ojg5MT0+Dogqwb18pXnvN0xRwxhkM/vd/XSgtDV9ULpwBToqikJ2dzQ9wElka4qMjlKURw9snGczC4jXn4nQ60dXVhc9//vMxOX7SkEugByrSbjGWZdHZ2YmZmRls3ryZT3GEi5wc4JVX3Pjv/5bjRz9Kmo9rySAry4GbbvoAPT02rFixIqpWYzHgdrvR0tLyqXnctrDSXMIpeqK/JUwtCedNQl3oZmdn0dTUFPZ8TyzAcRyGh4dhMBiwbds2pKenw2w2409/cuG//qsYJpMSSiWL73xnGnv3ypCRkQZAvFZnwHuA0+l0wmq1IicnBy6Xy6v7zVdx+uTJk0hNTfVy4IyEJJIhLRYrcvne976Hiy++GGVlZZiZmcH+/fsxNzeHa6+9NibnS/rVMpLIxeFwoLm5GSzLoqGhAVqtNqoISCYD7rqLgVp9HL/4xVZMTUnT/KFAq+Xwi18MoKDAhdxcz7DW8PAwcnJy+B1/vJwkAc99ceLECWi1WtTV1UWV/hBa6ZIpep1Oh8nJSXR3dyMtLW3ReRNS14lGDFMskNbnmZkZbNmyBWlpaZiZAb73vQL85S+eZWL1ahoPPzyGvLwJNDYavfTPcnNzRUknkajG5XKhvb0d6enpfL3H16tGq9WirKyMbzUnkittbW3gOM5LlibUTUQi02Isy8ZUuHJsbAxXX3019Ho98vPzsWPHDhw9ehTl5eUxOd9pRy5kJ5ibm4t169bxN4pcLo8ochFi06Y5vPWWHnv35ktpskWgVnPYv78dy5fPoK5uBzQaDS+C6G8Rzs/PR3p6esx27vPz82hqakJeXp7oZmO+qSWXy8XP1JB5E6EkjUKhwMTEBLq7u7Fu3bqA9tzxAonySVu4RqPFgQNy/Od/qmAweARL77iDxr33uqHRFAAo8FJDIIV3oSlaNIV3sglIT0/3Un0O5lUjk8mQn5/P2zeQ4dKxsTF0dXkGOAkJBrvPEhm5WD81SYpVzeWPf/xjTI4bCElDLoG+7HC6xciNVFNTs8BUSoyuM48Hhht//7sbzzxjwb59aTCbEysNkoxISeHwwx82Y9s2KzZsOGVH7DvYKBz6I86IYuiC+cJoNKKlpQXl5eWoqKiIeepJpVKhuLiYtxqenZ2FTqfjRSi1Wi0cDgfWrl2bcGJhGAZtbW2w2+3YunUrDAYNbr9dhdde83z269ezePppJ+rqvGsr/vTP9Ho9dDodTp48Ca1Wy3+X4RTeiZ0A0ZcTflfheNUQsifDpaTVeXR0FBRFeQ1wCodLE1lzIeQiCVfGCaRbLJiHhNBIrL6+3m/PtljDmAzDYHBwANXV/Th8eAOefnoZfvUrKU1GkJvL4Ac/OIbPfU6F1auDy1f4Dv2ZTCbodDpeF4zUMPLz8yOedZicnERnZ2fU0jKRQqgttXLlSnR2dmJ6ehppaWno6OjA4OCglyRNvGdqSP1p8+YteOklDe69V4W5OY/y9T33uLF3L41QBvvJpqG8vBw0TfOmaG1tbSHrn9lsNjQ2NvLRZbBNQDitznK5HIWFhTzZkw7AoaEhXlWbkE0i02I2mw1KpTLhWnZigeL82T8mCC6Xa4EbpcvlwjvvvIPzzjvP75dOZgNomkZdXV3AcLy5uRmZmZmoqKiI+PqOHj0KwBO219XV8e2rx49T+M53FGhs/GynyjZudOKOO97Htm0lUdkRC9tjdTod5ubmeM2sUGX1SXF6YGAAGzZsiJkYYKgQpp7q6+uRkpLC1wl0Oh1viubP5jkWcLvd/NxXamod9u7V4vBhz/O1ZQuDp592Ye3a6JcGYYpKr9fz3yUhGlKPslqtOH78OIqLi6NuU/dtdRauKST6IeQkFJI0Go1gWRZFRUXIz8+PmZVxILS0tODiiy+G0WiUbI7jAfLl0jS9gFyI3lFWVpaX1as/RJsWczgcsFgsUCqVaGho8NpdbNnC4f333fj732V46CE5Wls/WyQjk3H45jcN+MIXPsamTWuiTvX4q2GQlMvQ0BCUSqVX+sx3t++ry5WRkRHV9UQLhmHQ2toKp9PppbKsVCoXtXkm71NMX3Wn04kTJ05ALk/Dq6/W4Re/UMLloqDVcvjRj9y45RYaYm3eQ9E/y8jIgMlkQmlpqSjzT77pMwABoxqlUoni4mIsW7YMTqcTH374IeRyOW9lTL6DeAxwWiyW0yYlBiwBciG97r4prYmJCXR0dKCqqiqkPHo0BX3SJKBQKFBWVuY3bJXJgEsvZXHJJSz++U8PyTQ1nf4kU1vL4Lvf7UNBQT82bdoUE0Mt3/SZcLrc7Xbzu/28vDzI5XK0t7fDYrGEpcsVK7jdbjQ1NUEmk2Hz5s0BoxF/Ns9CuRa1Wu01UxNp+ozUNDo6yvHLX9ZgaMhznPPOY/Dzn7tQWRnbRIbvdzk+Po6TJ09CoVBgZGQEc3NzEemfBQL5nEIZ4CSkQxw+iQOnwWDgvwPhAKfY6TPShnw6RC1AkpELRVEL0mIkZ0puAjJZPTo6ik2bNiE/Pz+kY0dacyEkVlNTA5PJtOD6Fr4H4OKLWVx0EYvXX5fhmWdkeOON068mk5fH4Z57nNi69QScTivq6gIPI4oJ0nlFWoCJK+Xo6Cg6Ojogl8uhUCiwfv36uLY5+wPpekpNTQ1b6safXIs/m+e8vLyQ22wtFgtef70Tzz23DYcOZQEAli1j8eijbnzxi/6dQWOJubk59PX1obq6GuXl5Tyh6nQ6fjEn33U0Q6pCBPOqMZvNkMvlcLvdoCgKarUay5Yt478DMsDZ3d0Nt9uN7Oxs3oZajE2M1WqNyzMULyQVuQQCSWkRwUOHw4GGhoawQshwBTD9kdj8/HzI0Q9FAXv2sNizh8XwMI3nn5fjueeoJT8jk5/P4fbb3bjuOit6e5sBeNsRxxNCV8ri4mI0NjZCoVBArVbjxIkT/AQ9yZ/Hs1hOpu7z8vKwZs2aqJ1UhXItpIYxOjoass2zTmfGvn1m/PGPZ8DhkEGh4HDrrTS+/313RA6R0cJoNKK5udlrxicU/TMx56OETQEzMzM4efIk1qxZw2c5fDvQSKv1ypUrYbVaYTAYMD09jZMnTyIlJYWPaiJtzLBYLKeNCyWwRMiFeG0QafSGhoawC23hRC6ki8Zms3mRWKTRT3k5cP/9DG691Yxnnx3FyZOb8NprMszOLp3wt76ewU030bjiCgZu9+J2xPHE3NwcmpqaUFhYyMuniLXbjwSzs7Nobm5GaWkpqqqqRE1z+NYwnE4nnz4jNs/kPXrqUXL86U82/OAH6ZiYKAYA7NrF4Be/cGHdusT08hCl5dWrVwfs4Aukf0bmo1JTU3lCjXQan2BmZgZtbW1eOmq+rc7+BjiXL1/Od8eRAc6Ojg4wDOM1wBlq91csBygTgaQil2Ctxl1dXaioqOCNisJFqMRgtVr5Ke4dO3Z47cgDOVqGCpVKhq1bp/D979Mwm214/vlBHDtWjKNHCzExkXz1mRUrWFx2GYOrr6axZo1nIYrUjjhWMBgMaGlp4b1GyPX42+2TocbOzk5kZmbyi7CYApRk4ayurkZZWZkoxwwGkrohzobCdu6eHhVeeGEDGhs9nXL5+RwefNCFa66JfwqMYGZmBu3t7Vi7dm3IplX+9M9Iq3NzczMA8K3O4SpXE+VnIbEAi7c6+w5w5uXlebmDGgwGTExMoKenB2lpaV6yNIHutXjqisUDSUUuvuA4Dn19fbDb7SgrK0NNTU3ExwqFXIg7ZSDDqGg7zmQyGV+Qbmpqwu7dJbj11kywrB19fcCRI3IcOaLAkSMyDA7Gn2zS0jjU1dmxfr0etbWDKC+3oaAgH3l5+WCYHExNTYliRywWJiYm0NXVhbVr16K4uDjg7wl3+0IBSmFunxBRNEq7ZKbGV6I+XiCDjSybi6eeUuK55zxeK0oliy9+sR/f+MY4VqzIwdxcvigWyOFiamoKHR0dCxbycCE0fhN22RHl6oyMDH7jEKxAPj09jY6ODmzYsGHR2m0kA5yk05FENUThWRjVCDevUuQSJ5DUlNVqRXZ2dtSMHoxcOI7DyMgITp48ibVr12LZsmV+fy/ayIWQS2NjI1atWoXly5d/eqOyqKmRYeVKFtdd55n1+eijQRw7ZoXbvQpDQ2no7KTQ1ycTzSEzL4/D6tUs1q1jsW4dh/p6BuvXc/BkG/PAsjn8ZHlPTw8cDgcAoKysLOEzI0Jv+U2bNoVtdOQrQCkc+BP6t+Tl5YVcSyK+MJFcj1hwOoFnnlHgpz9VYm7Oc59ccIENjzxCobS0AHq9DHq9HidOnABFUfx7JDbPsQSRu9m4caOo949vl51QuXpwcDCg/hkhlvXr14fcFEQQ7gBnQUEB74BK6mUjIyPo6upCRkYGtFotzGZzXFqRn3rqKTz66KOYnJzEunXr8Nhjj8VMFTmphigZhgFN07yXuVarxcaNG3kfjWgGIMki+bnPfc7r38lwm06nQ11dXdBW2qGhIZhMJtTV1YV9fo7j0NXVhZGREWzevBl5eXn8DSmTyfjdFU3TaGtrg81m8zsUarMBExMUxscpTE5SmJ+nMD8PWK0ULBaP54ZM5vlPLgcyMjhkZQGZmRxycjiUlXEoLeUQalMKkac3mUwoLCzE3Nwc5ubm+N1hQUGBqDMYoVxPT08P/32JqcNE/FvIUKPFYvGaNfH34JPoenx83GuwNp5gGOCPf5Rj/34lRkY8C19VlRmPPOLGF76w8IsWWiDrdDrYbDZkZ2fzZCN2x9LY2BhOnjyJTZs2IScnR9RjB4NQ/0yn08HpdCI7OxsqlQrT09OiEx05Z6gDnE6nEwaDAYcPH8Ydd9wBtVqNsrIy3H///Tj33HNFn886cOAAvv71r+Opp57Crl278Ktf/Qq//vWv0dnZGZMUbtKRy8TEBFpbW7F8+XK+37y9vR1qtTqqtJjRaERbWxvOPPNM/t+cTieam5vBMAzq6+sX7UAZHR3lB/PCAbGutVgssNlsOPvss/mOFCGx2O12NDc3Q6VSYcOGDQnpwBJCaEe8adMmvjDpdDr56Xmj0QiNRsOnlWIpYUKGEe12O+rq6mI+w+JwOLzep1ar9XqfANDV1QWj0Yj6+vq4pzQ4DnjjDRl+9CMVb2iXn+/GV7/ajf/8zwJkZYVGvDabjd/tG41GpKSk8Lv9aA25iErCYhu3eMBqtWJgYABTU1OgKErU9+kP/rxqyHJLajXk/w6HA9dffz1MJhNMJhP6+vpw5ZVX4sUXXxTterZv3476+no8/fTT/L+tWbMGl156KX7yk5+Idh6CpEqLjY2Noa2tDbW1tV45dDF1wQiE0/3r168PqYc+krQYcRhUqVTYtm0bDh06BJfLBY1G40UsZrMZzc3NyM/PF121NxLYbIHtiNVq9YK0kk6nQ0tLCwDwO30x0y0ulwvNzc2gKApbt26NC/FqNBq+NVZof9za2uqlQZUIYjl2TIYf/lCJDz/0XENWFoevfW0c557bhZ07N4V1PSkpKSgrK+MNucSyeR4cHMTQ0BDq6+sTEtH5gkSl5Hp806FCVWcx9L2CedX41moUCgVYlsVll12GvXv3YmBgAENDQ1FfA4HL5UJjYyPuuecer3/fvXs3jhw5Itp5hEgqcikoKMD27dsXhINksCkaCMllamoKbW1tqKysDKvjKdwpf5PJxLfIrl69GizLIi0tDR999BFyc3NRUFCAvLw8GI1GdHZ2orq6GsuXL094BxZppQ3FjpjklEmnjNls5gvlbW1t/GyC0Js9XBCiIxLsiRAWFNofkwfV7XZDoVDg6NGj/EAdkWqJFZqaKDz0kBL/93+eR1ej4XDTTW5ccEErKMqE+vr6qCI6MWyeOY5Df38/xsbGsGXLlrjZ9gbD5OQkurq6sHHjRr4mJpTeId2EY2NjXrNDwfx4wkWwAU6Hw4Fjx45hxYoVAMCvTWJBr9eDYZgF0kyFhR6fpVggqchFrVb73bHL5XLY7faojk3Ipbe3F0NDQ9i4cWPYHSvhRFDj4+Po7OzEypUrUVZWxt9M27dvh81mw8zMDD9VDgAlJSXIy8tLOLGQjp5I7IiFxdWampoF3uzhik8CpyK6oqIiPk2aSDgcDr4euG3bNv7eJOmz3t5epKSkeKXPxLjmlhYPqfzzn55HVibj8I1vMLj7bgcMhhY4nU7U128VdX4nEptnjuPQ29uLyclJ3nQs0RA2E/hrtvDtJvSnfyZsChAjGhdGNU6nE9/85jdRUFCAb3/721EfOxh878VgavPRIqnIJRCI7L4YmJiYwI4dOyLaTZFur2AgD9fIyAjq6uqQm5u7oHCflpYGrVYLq9UKp9OJkpISzM3N4ciRI0hNTeUXpni2i5IOrMHBwZBaM0OBP+8WofjkYtPzJDVTVVUVM7e8cEBmoHJycrBmzRr+mokjIkkrkTQhmcGIJk3Y3u4hlVdeIZ44HK68ksE997hRWenRLQMQVLdMLPizedbpdLzGW05ODmiahs1mw9atW5NCyoQQSzjNBL76Z7Ozs7zGW1tbm6iCom63G9dddx3Gx8fxwQcfxKzTkOju+UYpMzMzMfMUSqqCPsdxfiVaxsbGMDk5ia1bt0Z0XCLWZ7FY8PnPfz7i/DgRsDz77LP9/px0es3Pz/Oy6qSYJ6yvOJ1Ovj6xadMmfrdJhsNmZmag1+v5aeuCgoKYypcQPxy9Xi96B5Y/CBcmnU7H+30I23/Hx8fR09MT1rBdLGE2m9HU1IRly5aFPMgrTBP6dmXl5+cHTV81NVF49FFvUrnsMgbf/74bq1d7nhNSy9u4cWPCPEgAz/u0WCzo6OiA1WoFy7JekjSxdBgNBnIPidmlJtQ/M5lMUemf0TSNG264Ad3d3Xj33XdF2dAFw/bt27F582Y89dRT/L+tXbsWl1xyyelf0A8EhUIR8fAi0TAqLCyExWKJaoEOFrmQwr1SqcT27duhVCr5aEtILPPz82hubkZWVhbWrl3rdTMKh8PIsCWRL2EYhn9Y8/LyRCuUu91utLa2wuVyYdu2bXERexT6z69evZovtA4NDaGjowNqtRoulytpiIUMwIUbQfmmCYnFM3FrJFEqMQqjKAoffCDDo48q8fbbp+6LL3/ZowFG/FWIICZptkh08weJelmWxa5duyCTyRaklYQzNfEgwli1Py+mfyY0RQv2LDEMg29/+9vo6OiIC7EAwN69e/H1r38dW7ZsQUNDA5599lmMjIzgP/7jP2JyviURuQSaUVkMo6Oj6O7uxqpVq1BWVoa33noLDQ0NEeeBrVYrPvzwQ+zevdvr30lEk5+fjzVr1ixoOSTEQtI8K1asCMtuVzh/MTMzA5vNJkqhnLQ+q9VqbNiwIa7GSP7Asiza2tpgNBqRmpqKubm5hKUJCUgNajEVgHBBolTPd6pHU1Mh/vrXVWhp8USNcrkn/fXd77p56R3glFtjTk7OAhvgRIB8ZzabDZs3b15Q8xHaPOv1ejgcDq+Zmli0kxNiqaurQ3Z2tujH9wcSvRFSNZvNXvpnwtobwzC47bbb8OGHH+LQoUMBh7ZjgaeeegqPPPIIJicnUVtbi1/84hc444wzYnKuJUEuRqMRra2tOOuss0I6jtD2uK6ujt+5vPPOO9i8eXPEbZEOhwOHDh3C+eefz98ok5OTaG9vR01NDV+4902DEQWA/v5+rFu3LuocJ2kI0Ol0MJvNSE9PR0FBQdAOHl8QsceCggKsWrUq4btfMgvkdDpRV1cHjUbjtQDr9Xp+B0xMwmK9Ax4ZGUFfX1/MnCydTs/w4y9/qUB3t+e9KJUs/u3fRnD99Tps3JjhtXmYn5/HiRMnRHFrFANCE7RQaz5Wq5VfgE0mU8AFOFIkglj8we128+/TYDAAAF5++WXU19ejra0Nhw8fxrvvvpsUtcRYIanSYoFurHC6tMjgn9PpRENDg1dRUQz5FgA8efT19WF4eBibNm0KOHFPiE6n00VFbEKkpKRgxYoVfKGcpFoGBgagVqt5osnKygogv67jW7GjsSMWC2SYVaFQYMuWLfwi5ZsmJDvg7u5uPgVB2rnF7JISttKK9Z0JYTQCv/mNAk8/rcT0tOezT0/ncMMNNG67jUZGRip0Ohump6d54cP09HRMT0+jvLw8KQRDGYbhB5DDaSYgTR7l5eVeNs/C5geSPgu3QWF0dBR9fX2or69P+MAmcbgsLi4Gx3H8EO7jjz+O0dFR1NfX4+WXX8aFF16I9evXJ/z7jAWSilwA/4ZhoXaLEQ+N9PR01NXVLUjzRNt1RnbKLpcLPT09MJvN2L59O1JTU/0Si9vtRktLC2iaxvbt22NSz1CpVLwqrr+BRrLTJ7lushsXI4ISA1arFU1NTcjMzMS6desCRlDETyMnJwcrV670MgkTqhwHkmkJFUSmx2AwiN5K29JC4Ve/UuLAATkcDs89UlLC4pZbaFx/PY1THHaqy87tdmNoaAjDw8OgKApjY2NwOp1xrV/4gqZpNDU1gaIo1NfXR5xOFdPmmRBLMigB+IKiKF4fkaZpHD58GN3d3Xj11Vexf/9+dHZ2npYRTFKlxQDPwu17SSQdtXv37oCLz8zMDFpbW1FeXh6wm+fIkSOorKyMuEjMcRzeeOMNpKWlQalUYtOmTV6Fe2F9xWq1orm5mXchjHc9g+M4zM7O8ukzp9PJF8ojEeuLBciwZjgdWP4gVDn2laMJFL35A8MwaG9vh9VqDUkOKBS43cArr8jxzDMKfPTRKSLYsIHF7be7cdllDIIFXcRrZM2aNSgqKuKjN/Kdim2gtfj7cfONK7HsUhPaPBuNxqA2zyTlnIzEAniexR//+Md4/vnn8e6772LNmjX8z8hzeTpiSZALTdN4++238W//9m8LQmWO4zA4OIj+/v4FsjG+OHbsGEpLSyMuoJnNZnz00UcoLCzEhg0bAMDL14EsYkajES0tLSgtLY1q0RQLNE2jubkZFosFarUaVqsVmZmZfPosEfMIxNdDbN8TYfSm0+kAhDZnQqJMoqMWbZptagr47W8V+M1vFJia8iyECgWHSy9l8B//QWPHDnZRTxViKeBPop4YaBFSNZvNSEtL40k1Fu2/pP1Zo9Fgw4YNcavTCY3f9Hq9l/Gbw+HA8PBw0kjM+ILjODz88MN4+umn8c4772D9+vWJvqS4YUmkxcjuiGEYL3IhO02TyeRXNsYX0aTFiGSMTCZDRUUFrw9EhOcIxsbG0NPTg9WrV8e1CyQQSD1DLpdj165dUCqVXoKMvb29ce/IGh0dRW9vb0xSc/7kaGZmZtDX14f29na/O32n04kTJ05ArVajrq4u4t04ywKHD8vw/PMKvPKKHG6353MsLORw4400briBRnFxaHs5kr4MJOEvNNASDqkSqRYiNS9W84PT6URjY2NC2p8D2Tz39/fD4XAgNTUVBoOB91JJ9GaOgOM4/OIXv8CTTz6Jf/3rX58pYgGSkFz8gSzgwlkXIsNBURQaGhpCCi0jKeiT4u7g4CAv/0/TtN+OsJMnTy7oUEskiHWBrx2xUJBROLh54sQJ/kGOxeCmsFAej6KrcM6E+J4LrXLT09ORlZWF6elpZGdnB635BMP4OIXf/16O3/9egaGhU69vaPBYQ19ySfDUlxAkEh8eHg6rmcB3qpwMqQqbHwiphpuGcTgcaGxs5OtiiVy8iVSLyWQCTdPYtGkTT6z+bJ4TNVzKcRyeeOIJ/OxnP8Obb76JTZs2JeQ6EomkS4u53W6/g4r/+te/sGXLFmRmZvJzJXl5eWEtCK2trUhJSUF1dXVIv88wDNra2jA7O4vNmzcjLS0NR44cAUVRKCoqQkFBAbRaLT+Zb7fbsWnTpqSQvYjEjpgsSqROQybnCwoKIure8T12Z2cnTCZTQlSEfeFyuTA6OorBwUEA8HKjDIVUXS7gtdfkeP55Bd5+WwaW9Xy+mZkcrrySxnXX0di0KbxHi2xQpqamUF9fL4pSgtB/XqfTYW5uLiyNNzJXQwZekyEqIDJFmzdv9spWCElVr9cnpCYFeD7zZ599Fg888ABee+01NDQ0xOW8yYYlQy6HDx/G+vXr4XA40NHRgZqamrDbaDs6OqBQKLBq1apFf1cYGZEcPMuyC+QfUlNTeQn9uro6UVtiI8X4+HjUdsTCwU2dTger1Rrx4CZxFXW73airq0uKAiapi1VUVGD58uV8Tl+n0wV0o2RZ4OhRGQ4ckOPgQQUMhlP33uc/z+Ab36Bx6aVMyEZsQnAch87OThiNRmzevDlmGxTSuk7mL5RKpVf6TEiqVqsVjY2NKCwsTArRUAB8VFdfXx80DR6oJkXea6zSvxzH4fnnn8f3v/99/POf/4zZgOJSQNKRC03TflNX77//PtLS0mAwGPi5knDR3d0NlmWxdu3aoL9HvF6EU9D+Cvd6vR6tra1QKpU8wZCUklhquOGApJ1GR0exceNGUVNzRLpkZmaGH9wk7zXY4KbT6URTUxNvgJZoFQDAY3Hb3t7ul3z9kers7DJ8+GE5XnstG6Ojp9IshYUcvvY1Gt/4Bo3q6sgfIzLlLmaXWigQarzp9Xq43W6eVLVaLVpbW1FSUpIUTSkAvNKF4UZ1wqFGMpArttIxx3F46aWX8N3vfhd///vfA2oQflawJMjF7Xbj8OHDkMvl2LZtW8Qpld7eXjidTtTW1gb8nenpabS2tqKqqgorVqzwsioV7uqmpqa8PFhYluVrFzqdjp8mLygoWLAjjAVYlkVHRwdmZ2dRV1cXU6lzkuOemZmBwWDgU0oFBQVerb+Baj6JBGkmWKwde2SEwv/7f3L88Y8ydHScWnhSUmice+4cvvIVDhdcoIFSGd2iyzAMWlpa4HK5UF9fn7DIl8iXEIsEq9UKtVqN5cuXh6X8ECsMDAzwFuHRpguJzTMhVTFsnjmOw5///Gfceuut+Mtf/oLzzz8/qms8HZD05EJkzl0uF6qrq6MaNhoYGMDc3Jzf4pqwpXnDhg0oKCjgjXyE0QrHcfyNvn79er8RFJkmn5mZwczMTMxEJwkC2RHHA/5af8nOd2hoCGVlZaiqqkr4zlf4vfmbh+A4oLWVwquvyvGPfyjQ2nqKCJVKDrt3M7j8che2bZvG/LxHtZoIcEbakeV2u3l3zU2bNiVFVEfqmcuXL4dGo+HTZ0T9N9SalJgQk1j8gdg8k1R3JPbHBw8exLe+9S0cOHAAF110kejXuBSRdOTCMAzfFabX6/l5EYvFgtzcXN6pLRIMDw9Dr9dj8+bNC87Z0dHBe6Gnp6f7JRbye2azOeTowFd00m6387WLgoKCqHeqweyI4w0yuDk0NAS9Xg+KovgFKT8/P6G7ciLBU19fz39vbjfw4Ycy/POfcrz6qhwjI6cWEZmMw86dLK68ksGXvkTDN8MoLB7rdDqvlFIocjRkZoSIhibyeyMgCuI1NTVeRnG+cyak0YMswLH8XkmaN17GY0KbZ71eH7D+JsQ///lPXH/99XjxxRfxpS99KebXuFSQlOTidrsxPDyM3t5erF27FsuWLUNLSwvS0tJQVVUV8bH9+cKQmgDHcXxBPpAHi3CXGekDZbVa+dTZ3NwcP8xIOs/CQTh2xPECmc+ora1FSkoKT6rz8/O8REtBQUHcOupYlkV7ezvvscMwWrz9thz/+Iccb7whh8l06jPTajn8278xuPBCBnv2MAhVxECYUtLpdF7v1Z8cDbFnyMjIiLj9WWwQW4FVq1YFnc8SWgLrdDpYLBav9xqteZbwPAMDA7y+WyIcLYUbQ71e7/Ve5+bmUFtbizfffBNf//rX8dxzz+HKK6+M+zUmM5KOXFwuF9ra2qDT6bzSFx0dHVAqlVi5cmXEx56cnMTQ0BDfGjg/P4/GxkZkZWWhtrY2YOGeeLBkZ2djzZo1ou0yhcOMRGaeEM1iLaLR2BHHAsSBc2JiAnV1dQvmM3zfa0pKCq8QEKvOHdKlNjMjw9hYHV5/XY1335XB6Tx1rtxcDnv2MLj4YgbnnBNZp5cvgsnRKJVKvo0+WVp7iZDpmjVrwrYV8H2vwpbuUFNKviCNKePj4wkjFn8g77Wvrw9f/vKXkZmZCafTiW9961t44IEHYmIfsJSRdOQyPDyMgYGBBV0z3d3d4DjOS5cnXMzMzKC3txe7du3CzMwM34paWVkZsHAfqQdLuCDdLKRITvzJfYvkQjviZNEII80EJF24WMMFTdP8gkRqF0IpfTF28vPzLvzsZ5N4++1iNDdnguNOfW8VFSwuuojBRRcx2LGDRSxLHSTNQqJVmqaRlpaGyspK3no2kSCdc7W1tVGrJZD6G/luQ0kp+SJZicUXb775Ju69914UFRWhr68PRqMR5513Hp5//vmklKFJBJKOXBiGgcvlWrDA9Pb2wuFwRCWhYDAY0N7ejrKyMvT19WH9+vUoLCz0q2jMcRxPdPFWECY5brIgAafUjXU6HQwGQ1zsiEMB0eRiGCaiOR9h7YI0P4S7IPlictKB3bsVGBg4NQdRX++JTi68kMHatdyiul5iY3Z2FidOnEBRUREUCgV0Oh0cDkdChvwIJicnee0ysTcp/lq6s7Ky+PfqbwPCcRz6+vowMTGBLVu2JHzQNhCOHDmCL3/5y3jkkUdw0003AQDa2trw9ttv484770yKaDQZkHTkwrIs3G73gn8fHByE2WyOSkbBaDTi+PHjUCqV/BBWIA+Wrq4u6PV6bNq0KaE7EVIkn5qawsTEBFiWRV5eHoqKiiJefMUCGTQlQobR7sJJPp+QqtVqRXZ2Np8+C2XxnZ+fx4MP6vA//1MLpZLDffe5cdVVDMrKEnebk3ko30K5cHJeODsUyuR8tCCmWhs3bvSrXSY2hMPHxNuEvFcyE9bX14fJyUls3rw5aYnlk08+wSWXXIIf//jHuPXWWyUiCYKkI5dAbpQjIyO84VYkcLlcOH78OObm5nDWWWcFLNwLPVg2bdoU992kPxA7YpVKhcrKSj6qEU7NFxQUxLUFmXjnkNpBLIrSQs/52dlZpKWl8UTjb/E1mUxobm7GyEgtbr65HKmpHI4ccUQ14BgtSNppMZtkMjtEUoVi1C4CgUjUb9q0KSFujcKOLBKZq1QqOJ3OpFU3BoCmpiZcdNFF+MEPfoC9e/dKxLIIlgy5TExMYHR0FNu3bw/7mMQeNjU1FXq9Huedd57fwr3Qg2X9+vUJz4cDwe2IfafmMzIyvOyOYwUinRKOblm0WGzx1ev1aG9vx8qVK1FSUoo9e9T44AM5Nm9mcPiwM+5pMMAjw9PT0xN22knY+ktqF0LbgGiiVVKvS5ZFnNTrdDod1Go17HZ71AONsUBbWxsuuOACfO9738M999wjEUsIWDLkMj09jf7+fuzcuTOs4xFXxvLycpSWluLw4cPYtWsXNBqN10JNhB6TxYMFCM+O2Ol08ouRwWCIWTcWUSZYrGU1lvCtSZEIlFgAy+VyTExQuOoqFX72Mze2bVuoVRdrkHpdtDI8/moXZPElw6qhHmdgYACjo6MxG0YMF0Soc2ZmhtdTs9vt/HslA42+6bN4o7OzExdccAFuueUW/OhHP4rLNfzkJz/BX//6V3R3d0Or1WLnzp14+OGHvXQROY7DAw88gGeffZa3HXnyySexbt26mF9fKEg6cgE8C6Uv9Ho9urq68PnPfz6kY5CCPPENKS4u5u1ZTSaT13yJwWBAT09PVEKPYiMaO2LSjTUz45kkVyqVXp1nkaZYhoeHeQWDSLTdxAZRVRgaGkJeXh7m5+fhcDgEDQH5UKvjO7gpXMT9tWRHC9/FNxQvHmGhPFk6sPwRiy9omubVH/R6PYDQjN/ERE9PD/bs2YMbbrgBDz74YNzI7Qtf+AK+8pWvYOvWraBpGvfddx/a2trQ2dnJZyUefvhhPPjgg3j++eexcuVK7N+/H++99x56enqSYvOwZMiF5NNDEYMj8u5kViYzM9OrcO9yuXhpFqPRCAAoKSlBeXl5wjWUhL4wmzZtitrzhGVZr10+x3HIy8vjZfRDSf0JpeAT3eAgvKaenh5MT0/zqgr+5OXjObhJrmlmZsZLCSBWIO3rJFoVtnRnZ2dDLpd7XVOyFMrJNel0OmzZsiWk6Is0tpD3a7PZkJOTw5NNLGZM+vv7+UX+0UcfTeiwq06nQ0FBAQ4fPowzzjgDHMehpKQEd9xxB+6++24AnnWzsLAQDz/8MN/FlkgkJbn4szqen5/HsWPHcO655y762ubmZrjdbtTX10OtVvst3BMPFpvNhmXLlmF2dhYGgwEajYaPaOLhyigE8Y+xWq2oq6sTfTEUOjPOzMzA6XTyfi1kwM/fNbW3t8NiscTkmiKBcK5m8+bNARcWMvRGNhGxHNwkGxri/RPvgTp/cjQ5OTmgaRp2uz3kRTzWIFI8er0+qmsi9Ua9Xu8VweXl5YmSPhsaGsKePXvwxS9+EY8//njCVRT6+vpQU1ODtrY21NbWYmBgAFVVVThx4gTq6ur437vkkkuQlZWFF154IYFX68GSIRebzYb3338fu3fvDnjjkA6m9PR0XmeLiGAKC/fC7qsNGzbwiyrDMF7pJOJqR1wZY0k0QjvijRs3xrzFmOzyCdFYLBY+l19QUACNRsMLK3IcJ4qvvBigaRqtra1hqwiTFAv5bsUc3CSbArvdzm9oEglSp+ns7ITNZgPLsvyMSaybPRa7LjGIxRfETZWQDZHTJ+mzcBtzxsbGcP755+P888/HU089lXBi4TgOl1xyCUwmE95//30AnlmbXbt2YXx83CuV/61vfQvDw8N44403EnW5PBIvwxoiFAoF71vv72bR6/Vobm5GWVkZqqurwbKsX2KZnZ1FS0uL3+4ruVyOwsJCFBYWeqWTWltbAYCPaMSW0E+ENL3Qg72yspLP5c/MzODkyZNITU2F0+lEWloa6urqkkKx1+VyoampCQqFAlu2bAnrmhQKhdd3S3b5nZ2doGnaS7U6HGInEjMMw2DLli0JnTsiICoOAPC5z30OHMfxEU1fX19CiuQcx6GrqwtGo1H0KEqpVKKoqAhFRUW8Irler0dvby/a2tq8GiAWGy2YnJzEhRdeiLPPPhtPPvlkwokFAG699Va0trbigw8+WPAz3++OiO0mA5IycvHnRskwDN566y2cc845C3arw8PDOHnyJNauXct7iDMM45UGAzw3TmdnJ2pqalBWVhby9ZB8L9nlu91ufocfbWExEjviWIOo4wpN0Eg6KVEdO0TskUSlYj30QiFGMjsU6uCm2+1GU1MTH20mAwEzDIPW1lZ+ZsT3WfFXJCcLbyS7/FDgSyzxnB3zHVQN5kY5PT2NPXv2YMuWLXjhhReSYhThtttuw9/+9je89957qKio4P9dSotFCH/kwnEc3njjDZxxxhl83p9lWXR3d2NqaooXuQwk5UKkuwN5sIQKknIgREO6k4LVLQJBDDtisUHIbsWKFbxZGimi6nQ6Pp1EUoXx2NmRdGd+fn7MxR6FEVywwU2n04kTJ05Aq9UmzUwUwzBobm7mpXgWuxeFplmkBie0shYjvUfsm00mU9yJxRe+DRAymQxGoxF2ux27du3CFVdcgXXr1uGll15K+EaB4zjcdtttOHjwIA4dOoSampoFPy8pKcGdd96Ju+66C4Ansi8oKJAK+sHgj1wA4K233sKOHTuQnp7O1wOcTic2b94csHAfiQdLOLBYLAvqFiR9FujhjKUdcTQgWlOrV6/2S3b+dMCEnWexeCCJeVUiIrtAg5uZmZno7e1NKodN0mYPIKI0JsdxXkO5c3NzSE9P9xrKDfezJ8RCmhySQe2CgKTPXnzxRTz++OMwGAzIycnB/fffj0suuSThm72bb74ZL7/8Ml555RWv2ZbMzEw+pfjwww/jJz/5CZ577jnU1NTgoYcewqFDh6RW5GDwZ3UMAO+++y6/I2tsbERqaiqvaeWvvkKK5DKZDBs3box5Qdput/NEI5yYF7bBxtOOOFSQHP3Q0BA2bNgQktaUMILT6XS8CRpZjMT4rMkQqa8mVyJABjcnJiYwMzMDmUyGwsLCsFq6YwVhem7Tpk2iXIvL5fIayg1XjiaZiUWI2dlZXHTRRcjJycHZZ5+N1157DUePHsW///u/4+mnn07YdQUi8ueeew7XXXcdgFNDlL/61a+8hiiD2bjHE0uKXN577z0sX74cAwMDKC0tRU1NjZdUvq8HS1NTE3JychKyuyQT86QNNi0tDbm5uTAYDAA8u8tEdxUBpzp4yGxGpDseYecZMcuK1AQN+P/tnXlUk2fe/i8UwSiySwCVTXEDlc0iOlapiiJiota36hyV0apTl99Qbe1xtB20Ymu11h77Wmunr9i+vqNWEMR9AbXuEhZXcAdUSEBB1iSQPL8/nPuZJIYtJHke5P6c4zkl0HAHyH3dy/d7Xa/tfu7evWsUK3hjUVFRgczMTPTo0QPOzs7s5EvcjY0prM3FHImWLbWjYRhGq1Scr8JSUVEBsVgMOzs7pKSksOMku9XWxHtQ2pi4nD17Fkqlkk2nJPcrFhYWWuIhk8lw69YteHt7w8vLi/NL8rq6Ojx79gyPHj2CSqWCQCBgV73m7qXRhJTQ1tTUIDAw0GgVPCQYTCaToaysDDY2Nuw9TXPcfon/FZ+ODEkTL/mb0kRfuqg5yn7JvU+XLl0waNAgsyygmrKj6dy5M27fvo2Kigr2uJqPVFdXY+rUqejUqRMOHz7Mi/6tt402IS5qtRp5eXkoKCiAj48P+vTpw7sMlsbQjCP28fF5o9+CrPCN7X7bGKTZlMQ2m6qEVjMETfPeQjcEDfhPmmVRURECAwNha2vbyDObD3I81xw/Nd0dKyn7NfZCQi6XQyKRwM7OjtN7n5qaGvb3W15ejo4dO8LCwgL+/v5wcnLifGGnj5qaGkyfPh0qlQpHjx7lxdH02wgvxUWlUqG+vh7Afyzw5XI5OnXqBDc3N7bcWF8Gy4sXLxAQEMCbiamxOGJ91iyaJc6mmjBIWa+NjQ3bbGoOSFIhWfVaWFho2ZXk5uaivLwcQUFBvFlJkt+fIcdzuo2bHTp0YH+/remVqq2thUQigaOjIwYMGMCLCVytVuPmzZvsXWNZWZlJEkZbi1wuxwcffICqqiqcOHGCN/PE2wivxaWmpgYSiQRdunTB4MGDcevWLVhaWsLX1xeWlpbsm0qpVOLGjRu8ymBpaRyxvl4aZ2dnCIVCo1ZiEQt/oVCIfv36cTYxkWqdkpISSKVSKJVKdOzYEX369IGrqysvmhFJoJYxjDr12bMY0rhZXV0NiUTCNgHzRVhu3bqF6upqBAcHs1lJuq9XM2GUC7cHhUKBP//5zygpKcHJkyfNmmVz/vx5bNq0CRKJBEVFRTh48CDEYjH7+ZiYmDd6U0JDQ3HlyhWzjdHY8FZcZDIZsrKy4O7ujn79+oFhGEilUty/fx8KhYItge3SpQtu3rypZfnCNaT/prS01KA4Ys1ERplMhtraWraXpjVvTJKI2BwLf3NRV1eHzMxMMAwDR0dHvHjxgg1BIxfkXJzbk4WBKQK1Gmrc1LTe0UdVVRUkEgnc3d15EwuhT1h0YRiGLdkvKSlBVVWVWQ1Fgdd/Z3PmzEF+fj7OnDljlvRNTY4dO4aLFy8iKCgI06ZN0ysuUqkUu3btYh+zsrLizZ2jIfBSXIqKiiCRSNC/f3/07NlT6+LewsKC/UN9/vw55HI5BAIBvL294eLiwvmKt66ujvW+CgwMNMouqqqqil3ha/bSNDf6F3hdfZWbm4uBAwfC1dW11WMyBnK5nA1x01wY1NTUsMJaUVGht6TbVBB7+mfPnrFR2KZGX+OmbgFEZWUlJBIJevXqxRsnB3IUVlNT06Cw6IMUfJDIY1Pb0dTX12PevHnIzc1Fenp6i4LbTIGFhYVecSkvL0dycjJn4zI2vBQXuVyOsrIyODg46L24B4DCwkLcu3cPPj4+AMBOvGTF6+LiYvatNzHEJGWhpmgqJBORVCptsJdGE5J5kp+fz6vqK+Kn5uTk1Oi9ge4FOXG/dXFxQbdu3Yw6EWkaKwYFBXFi8FhXV6fVX9KpUyfY2dmhpKQEPj4+WhYgXEKEhZh1Gvpe07WjsbCwaJXppC4qlQqLFi1CdnY20tLSeLGwakhckpOTYWVlBXt7e4waNQrx8fFwcXHhbqCthJfiolaroVQqG6wII3knQ4YM0TqyqK2thVQqZVe89vb27MRr6nuYxuKITYW+iZe8XhsbG63J0pDjOVPx6tUrZGVloWfPnujdu3ezBcJUIWjAf5pbKyoqEBQUxAt7epVKxebdd+jQQcvt19nZmbMjYLVajRs3bkAul7dKWPQ9rzHtaFQqFZYtW4ZLly4hPT2ds+RUXfSJy759+2BjYwNPT088fvwYn3/+Oerr6yGRSHhbzt0UvBSX1NRU1NfX491330Xnzp3Zyaeurg63bt1CbW0tAgICGj0ikcvl7NFKeXk5u8IXCoVGnzhaEkdsKvSV/BK4yBdpCHLv06dPnxaZh+qiVqu1Ks9IpZ0hK15i9kgmS768mV+8eIGcnBz07dsXPXr00Jp4uWrc1BSW4OBgkx1D6wt+s7W11eofaux9plarERsbi7S0NJw9e7ZVf2vGRp+46FJUVARPT0/s3bsXU6dONd/gjAgvxWXz5s3YunUrqqqqEBUVBZFIBE9PT8TExGDNmjWYNGlSi/6odZMnbWxs2CbG1h59tCaO2FSQUlWVSgWVSgVLS0tOeml0Ia7Ufn5+Rj2eIJV2miteUvDRVCVWfX09srOzoVarm2X2aC7IgmXAgAFwc3N74/O6jZtk8WTKxk21Wo2cnBzWz8+cPyuFQqFlOtmYHY1arcbKlStx5MgRpKens0fnfKE54gIAvr6++PDDD9mkybYGL8UFeL2avHz5MhITE/Gvf/2LNZ786KOPMGHCBIPfQORMWyqVaqUTNrd7nGDsOGJjUVNTg8zMTNja2rIeQ2VlZZBKpW/00jg6OprtaCU/Px8PHz7EkCFDTFqpo68yqaECCJIP06lTJwwZMoQXlYbA6/vDW7duNbu3hhyPkgtygUBg9AtyIiwkpI1LEdZnR9O1a1fcunULkydPxpYtW3DgwAGkp6e/4SbMB5ojLi9evECPHj2wc+dOzJkzx3yDMyK8FRfCnj17sHDhQnz00Ufo0KEDDh48iOfPnyMiIgIikQiRkZEG3yXU19ezq93S0tJmRxybOo7YUMhdhru7O3x9ffUGCb169Yq9lyK9FmSFb4oCBM3qq8DAQNjZ2Rn9ezSGrpkocfq1s7NDbm4uunbtajbrlOZAnKmb0xulD80L8pKSEqM0bpJjQz4Iiy7kb/rq1av4+OOP8ezZM1hZWWHFihVYsGAB54anhKqqKjx48ADAa1/BLVu2IDw8HI6OjnB0dERcXBymTZsGNzc3PHnyBH//+99RUFCAu3fv8uautKXwWlzy8/MREhKC3377DRMmTADwnxXUgQMHcPDgQTx+/Bhjx47F5MmTERUVZfBKTTPiuKSkBJ06dWLvaDSf09xxxM2FHKM09y5DXy+Nsc/wiWvCy5cvOau+0oQ4/RYVFaGsrAyWlpbo0aMHhEIhpx5vhGfPniEvL89ouzvSqEr+pkkjY3OOCwkqlQo5OTmor6/n1bGhLgzD4Ouvv8aePXvw/vvv4/r167hw4QIGDx6Mixcvct5YffbsWYSHh7/x+Ny5c/Hjjz9CLBYjKysL5eXlcHNzQ3h4OL788kveiKMh8FpcgNeK35D3D3FfJUKTm5uL0aNHQywWszbahkwY5LKYTLzE/6tbt254+PAhZ07LDUE6yVtz76PramxIL40mmrnyxur3MQakEZGEnZESWC5C0DQpLCzE/fv3ERAQYJJy8YaOC8nxmb6CD01hCQoK4jxAqyEYhsF3332H7777DmfOnEFAQACA10dLly9fxqRJk7gdYDuF9+LSXMgdSGJiIpKSkpCTk4ORI0dCLBYjOjoaLi4uBgtNWVkZCgoKWH8oV1dXCIVCzv2SNEPHjNlJrtvU19ImRhLkBsCkppgthRwbenh4wNvbW8uXrqysjBVXtVrNTrrmKPklbgAkTdUckN9xSUmJXudqtVrNplryXVh++OEHbNy4ESdOnMDQoUO5HhLl37w14qIJaRwkQpORkYGwsDCIRCJMnjwZ7u7uLRIaEkfcv39/dOnShb2zUKlUWkaT5rwQ1jxyMmXoGKm0I1U6ur00uj9HuVyOrKwsdO7c2WT5Iobw8uVLZGdnN3lsSM7wNUt+iSeWsUt+yd9pQUGB2dwA9KFZxk4aNxmGgaWlJUJCQjjxAWsODMNg586dWLt2LY4dO4awsDCuh0TR4K0UF00YhkFhYSGSkpKQlJSEy5cvIyQkBCKRCCKRCB4eHg0KTWNxxGQSIqtdpVLJGk2aerVbX1+PGzduQKFQmPXISV8vDREaOzs7tlKNuPXy5dhQJpOxZb0tia/V7LUgx4WkMbeho6SWPPeDBw/w/PlzBAcH88b2XalUQiKRQKlUAoDWLs5UUdaGwDAMEhISsGrVKhw+fBjvvvsu10Oi6PDWi4smDMOwjqSJiYn4448/MGTIEFZoNLvF5XI57t27x5ZAN/bm13c53tw+i5aiUCi0yme5erMT+3yyq7GwsGB3cn5+frzZsZDemkGDBrXaSoM05moeJRFxbUnGPDnClUqlCA4O5rzQgaBSqZCVlQUAbFwy2cVpRlkb2jFvLBiGwf/+7//ik08+waFDh/RelJuKptyNSfTwzp07taKH/fz8zDZGvtCuxEUThmFQWlrKCk16ejoGDBgAkUiEkSNHYsWKFYiIiMDq1atb/Caqqqpij86qq6vZCp3WHqtUV1cjMzMTDg4OvCooKC0tRU5ODrp164ba2lrOeml0IZfkpuit0fQA07eLa2w3THKHgoODeVPGXl9fj6ysLFhYWCAwMFDv70xzF2euxk1dGIbB/v37sWzZMiQmJmL8+PFm+b6EptyNN27ciPj4eCQkJKBv375Yv349zp8/j7y8vDZbUmwo7VZcNGEYBmVlZUhJScFvv/2Gixcvonfv3pg0aRLef//9Vk3kNTU1rNBoVmG5uLi0SLRImmVL/bhMDQnTGjhwINzc3Bo8LjRlL40uJEvnyZMnZrkk19zFEfNFfb0larUad+7cQXl5OUJCQnhTQUeEpUOHDuyOpSnM0bipj6SkJCxatAj79+9HVFSUSb5Hc9FthmQYBu7u7oiNjWW76hUKBYRCITZu3IhFixZxOFrzQ8VFg0uXLmHy5MmYOXMmhg4diuTkZJw4cQLu7u4QiUQQi8UICAhoVYKgZkOfnZ0da0PT2EQjk8lw69Yt+Pr68qrunVjfNBSmpVn+auxdXENoRiUHBQWZfbWor7eEmE1KpVLWnp4v/mWGCIu+59DXuEkSKI21cz18+DD+8pe/YM+ePU1ap5gDXXF59OgRevfujczMTAQGBrJfJxKJYG9v/0YY2NsOFZd/wzAMwsLCMGfOHCxevJh9vKqqCkePHkViYiKOHj0KZ2dnTJ48GWKxGEOHDjVYaBQKBTvplpWVNVjuS452/P39eWO/TQodnj592iLrG91eGmO7VmseOfGhaZPcxUmlUhQWFkKlUsHR0RFCoZDTOwtCfX09MjMz0bFjR4OFRRfNhFHiAtHSxk19HD9+HLNnz0ZCQgKmT5/e6nEaA11xuXTpEkaMGIFnz55pFY4sXLgQ+fn5OHHiBEcj5QYqLhrU1dU1+sdfU1ODEydOIDExEUeOHIGNjQ2io6MhFosRFhZm8JuTdI4TvzPSc0BClfjkXUYmcJJ5YmiVk65rNbFlMdRMlCQiVlVVISgoiDdHTqQRsa6uDv3792f7aSoqKsyexqgJERZLS0uT+aoZ0ripj7S0NMyYMQM//fQTZs2axZsj4YbE5fnz51pmowsWLEBhYSGOHz/O0Ui5gYqLgcjlcpw+fRqJiYk4dOgQrKysMGnSJEyZMgUjRowweIVWV1cHmUyGhw8fQqFQQCAQsE2bLTHWNAUqlYqNtDXmBE7ElfRZNNVLo29cmqaKfOnLII7LDMMgMDBQ676J7FzJnQV5zd27dzd6CJoudXV1yMrKMqmw6KOpxk19r/n8+fOYPn06tm3bhrlz5/JGWAB6LNYUVFyMQF1dHdLT03HgwAGkpKRArVYjKioKU6ZMwahRo1o02dXX17Mr3cGDB6OiooK9KLaysmLvaMzthVVXV4ecnByo1WoEBASYbALXDQSzsrJqtAqLr24AZAJvzpET6R8ilWfE16579+5wcHAw6u+5rq4OmZmZnDtB63vNxBGhW7dusLa2xqVLlzB16lRs3rwZCxYs4JWwAA1f6H/88cdYuXIlgNcLJxcXF3qhT2k99fX1+OOPP3DgwAEkJyejpqaGzaQZM2ZMo6t90t2uLyZZt69EN6PFlG88hUKBzMxMWFtbm3VCItbq5PisQ4cO7Gt2cHBgj3bIz4svvTVKpdLgcWm+5pKSEgAwWlk3ERYrKysMGTKEN6XsarWafc3nzp3DP/7xD7zzzjvIysrCmjVrsHz5ct4IS2Puxh4eHti4cSO++uor7Nq1C76+vtiwYQPOnj1LS5EpxkWlUuHSpUtITEzEwYMHUV5ejgkTJkAkEiEiIkLrnL2srAy3bt1qVnc7eTOSjBYLCwutSdeYkwbpure3t+e0t0af/xfDMLCxseGVWy/pcO/SpUurrfxJCBp5za25HOersOiiUqnw66+/YseOHWxV5ZgxYyAWizFnzhzOiyAaczdOSEhgmyh/+uknrSZKkq3UnqDiYibUajWuX7/OOjgXFxdj3LhxEIvFsLS0xIoVK7Bv3z6EhIS0aJWmO+lqNjA6OTm1ahKpqKhAVlYWXF1d0bdvX16tHiUSCaysrKBSqbSSJ7t3786Za4FcLkdmZia6desGPz8/o07g+sq6m+tcXVdXB4lEwvq98VVYAODGjRuIiorCp59+is8++wz3799HSkoKzp07h5SUFN7sTilNQ8WFA4jj7IEDB7B7927IZDKEh4fjv/7rvzBx4kSDm9B0V7r19fUGG2u+fPkSOTk58Pb2hqenJ2+EpbKyEpmZmXB3d0efPn0AQG8vDXnd5rrcJ9HSxD3B1D+vmpoatgji1atXbL68brVdWxKWO3fuIDIyEkuXLsUXX3zBm785imFQceGQrVu34vPPP8fXX38NmUyGgwcPIi8vD+Hh4RCLxYiKijI4k4ZhGLYYQCqVtqhTnsTs9u/fHz169GjNSzQq5eXlyMrKgpeXF7y9vfV+ja5FibF7afRRU1MDiUQCZ2dn9O/f3+yToq5zNYnutre3x/37941yRGdq8vLyEBkZifnz52P9+vVUWN4CqLhwxN27dzFmzBikpKSwGRQMwyAvL4+NCrh586ZWJk337t0NFhpNv7Pa2lqtTnnNs3sSPGZozK6pePHiBXJyclrkUkD6hEijamt7afRBjujc3Nz0RkubG9ItX1xczBZBuLu7cxaC1hwePHiAyMhIzJw5E9988w0vx0hpOVRcOKSmpqbB5jmGYfDo0SNWaCQSCcLCwiAWizF58mS4ubkZPJFVV1ezQlNVVcXGG9fU1LBZ93xp2gT+s5Mi/mWGoNtLQ1b3JGHUkJ9lZWUlJBIJ7/zeSFGBQCBAjx492N4SYp/PRf5QQzx58gQTJkyAWCzG1q1bORWWuLg4rF27VusxoVCI4uJijkbUtqHi0gZgGAYFBQVsJs2VK1cwdOhQ1oamV69eBk9sxFizoKAASqUStra27EqX68ocAHj+/Dlyc3ONupPS7aUhfSVCobDZ910k1dLT07PBIzouIMLStWtX+Pv7s5O1rqGoQqHQqjzjovG0sLAQ48ePx4QJE7B9+3bOdyxxcXE4cOAATp8+zT5G4q8pLYeKSxuDYRg8f/4cBw8eRFJSEptJIxaLIRKJ4OPj0+Jqs1u3bqGyshJ+fn6oqKiAVCpljTXJ6r41wViGQowxTZUrD7zZV0IcjYVCYYPHSOTux8fHB56eniYZlyEoFApIJBLY2NhoCYsuJASNCE1VVZXRQtCaS1FREcaPH49Ro0Zh586dvNhFxcXFITk5mW3KpbQOzsQlPj4eR44cQXZ2NqysrFBeXv7G1+ibJH/88Uf89a9/NcMI+Q/DMJDJZEhOTkZSUhKbSSMWiyEWi5ssHyZuAPX19QgMDNRaveoaa5L7CqFQaHIfLHIkWFhYiMDAQNjZ2Zn0+xE0HY0birEmccl9+/ZFz549zTKu5kCExZAyaGLLQnzeDA1Bay5SqRSRkZEYOnQoEhISeCEswGtx2bRpE+zs7GBtbY3Q0FBs2LABPj4+XA+tTcKZuPzjH/+Avb09nj59il9++aVBcdm1axcmTJjAPmZnZ8fJKprvMAyDly9fIiUlBUlJSTh9+jR69+4NkUiEKVOmvNGYSbrIm5No2ZD3l1AoNPrkQ1Iai4uLOY3/1a22UygUsLW1xatXr9CvXz9eRR8QYbG1tYWfn1+rfh9KpZI9Mnzx4gU6d+7M7miMkdNSWlqKiRMnws/PD3v27OFNbDLwOgispqYGffv2hVQqxfr165Gbm4vbt28bPWyuPcD5sVhCQgJiY2MbFBfdpDdK8ygvL0dqaiqSkpJw4sQJ9OzZk82k6dy5M+bNm4cNGzZg1KhRLVrlEk8ocl/RuXNn1u+stYaLarUad+/eRVlZGYKCgniT0kjuvO7fvw9ra2soFAq2CMKcvTT6UCgUyMjIgJ2dXauFRRddyyGS06IbgtZcXr58iaioKPj4+GD//v28cVVoiOrqavTu3RsrV67E8uXLuR5Om4P34tKjRw/I5XJ4e3tj/vz5WLhwIecXf22NyspKNpPm8OHD6NChA0JCQvD5558jNDTU4J+nSqVCaWkppFJps0wmG0OtVuPmzZtGd1w2BiRtc9CgQWxVHTk6I9b5JKPFnLtquVwOiURiEmHRhThBkB2sSqVi+6acnJya3IGUl5cjOjoabm5uSEpK4o1zdVOMGzcOffr0wY8//sj1UNoc/NmT6uHLL7/EmDFjIBAIcObMGaxYsQKlpaVYs2YN10NrU3Tr1g0ffPAB3N3dcerUKUycOBEMw2DatGmwtbVlM2mGDRvWovPvjh07QigUQigUshfjUqmUdQPW9DtrbOJTqVTIzs5GfX09QkJCeDXxkGq1IUOGsGmbXbp0gZeXF7y8vLR6ae7duwcbGxt2J2fKsDIiLMTzzdRl0B06dICTkxOcnJzQr18/9sjw4cOHrCdeQwmjFRUVmDp1KpydnXHgwAFe/X4bQ6FQ4O7duxg5ciTXQ2mTGHXnoq9OXJfr168jJCSE/bixnYsu3377LdatW4dXr161dqjtjqdPn2LAgAHYsmULFixYAOD1BHXq1Ck2k8ba2hrR0dFsJo2h5+GaLrcymazRCixiTU9idvl0Bk9SQJtbraZ7XyEQCFrdS6MPuVyOjIwMs1nNNAWpPCspKWF3chUVFejRowd69uyJqVOnwsrKCkeOHOH1feknn3yC6OhoeHh4QCaTYf369Th37hxu3rzJq6rAtoJRxaW0tBSlpaWNfo2Xl5fWkUdLxOXixYv405/+hOLiYgiFwtYOt91x//59+Pr66v2cUqnUyqRhGIYNP3v33XcNXm3qVmBpNvLZ2NggOzsbAoEAgwYN4k3VEADk5+fj0aNHBjeUkk55cmRIemlaG5FAhIW4Z3MtLLqQndzGjRvx66+/sndS//rXvzBs2DDejVeTGTNm4Pz58ygtLUX37t0xbNgwfPnllxg4cCDXQ2uT8PrORZcffvgBn376KcrLy3nR4Pe2Ul9fj/Pnz7OZNHK5HFFRURCLxQgPDzf4PoQ08kmlUrYCq3PnzvD19UX37t15Iy6PHz9Gfn6+0cqgG+qlaenFODHH5KuwaCKXyzFz5kyUlJSgV69eOH36NIRCIZYsWYIVK1ZwPTyKGeBMXAoKCvDy5UscOnQImzZtwh9//AEA6NOnD2xsbJCamori4mKEhYVBIBAgPT0dK1asQExMDL7//nsuhtwuUalUuHjxIptJ8+rVK0RGRkIkEmHcuHEGVXRVV1ezxzoCgQAymQxyuZxz23yGYfDw4UM8ffoUwcHBJgl3ak4vjT6IsDg5OXFijtkSFAoF/vznP6O0tBQnT56Evb09amtrcfr0adTV1WHq1KlcD5FiBjgTl5iYGL2Z0unp6Rg9ejSOHz+OVatW4cGDB1Cr1fDx8cGHH36IJUuWtHjiaU7DZkFBAZYsWYK0tDQIBALMmjULmzdvbjOXj+ZArVbj2rVrbCaNVCpFREQExGIxJkyY0KyelIqKCmRmZmr5cZGOceJ3VlNTA0dHR7YCyxwlq6S/RiqVIjg42KSX8Zrfk1yM6wqsZhhYbW0tMjIyOHNdbglKpRJz5sxBYWEhzpw5YzJnBQr/4fxYzBw01bCpUqkQEBCA7t2749tvv8WLFy8wd+5cTJ06Fdu2beNm0DxHrVYjKysLBw4cQFJSEgoLC9nEwIkTJ8LW1vaNSbCsrAzZ2dnw9vaGl5dXg89NLoilUqmWsaapekoYhkFubi5KS0sRHBzMSX+NPksWR0dHODg4oLCwEC4uLujXrx+vhaW+vh7z5s1DXl4e0tLSqCdXO6ddiAuhofudY8eOYdKkSSgsLIS7uzsAYO/evYiJiYFMJoOtrS0Ho207MAyDW7du4ffff8fBgwdx7949vPfeexCJRJg0aRIcHBxw4MABFBcXY8qUKS2yTamtrWWFxhT5LAzD4M6dOygrK0NwcDBvqpmIQ3V+fj4YhtF63XwZoyb19fVYtGgRcnJykJ6ezouCm+3bt2PTpk0oKiqCn58ftm7dSsuKzQjtRgRw+fJl+Pv7s8ICAOPHj2dtNSiNY2FhgUGDBmHdunW4ceMGsrOzMXz4cOzcuRM+Pj4YN24cFi1axDbFtgSBQABPT0+88847+NOf/gQXFxfIZDJcuHAB165dw5MnT1BbW2vQuIlp56tXrxASEsK7SbuoqAi9evXCyJEj4erqitLSUly8eBFXrlzBo0ePUFVVxfUQAbze+S9btgwSiYS9uOeaffv2ITY2FqtXr0ZWVhZGjhyJyMhIFBQUcD20dgPduQBYuHAhnjx5gpMnT2o9bm1tjYSEBMycOdOMo3x7YBgGX331FdauXYshQ4YgKysLw4cPh0gkanUmDUlflMlkePnyZYubF4kjQE1NDYKDg3l1t1ZTU4OMjAwIhcI3zEfr6uq0fN4EAgFbEKDvKNLUqNVqxMbGIj09Henp6fDw8DDr92+I0NBQBAUFaXXWE1PXr776isORtR/a7M4lLi4OFhYWjf7LyMho9vPpe1MyDMPrM26+8/3332Pjxo04deoUrl69igcPHkAkEiEpKQkDBgxAREQEtm3bhoKCArR0jWNlZYWePXsiKCgIo0aNgoeHB8rLy3HlyhVcunQJDx8+RGVlpd7nValUyMnJgVwu550jAKmkc3V11etq3alTJ7i7uyMgIACjRo1C7969IZfLkZmZiQsXLiAvLw9lZWUt/nkaglqtxsqVK3Hq1CmcPn2aN8JCMm0iIiK0Ho+IiMClS5c4GlX7gz/t0C1k6dKlmDFjRqNf09ilsSaurq64evWq1mNlZWWoq6vjxRa/reLr64u0tDQEBwcDADw9PbF8+XJ8/PHHeP78ORt+tmbNGgQEBLCZNN7e3i0SdTLhuru7s0FgUqkUT548YV19ycperVYjOzsbKpUKQUFBvDJPJMLi7u6OPn36NPkzsLS0ZO13NF0RcnJyAIB93YaYTDaFWq3G6tWrcejQIaSnp/MqMK20tBQqleqN9y5NlTQvbVZcnJ2dWa+n1hIWFob4+HgUFRWxMbonT56EtbU1OzFSWk5UVJTex8ndy7Jly7B06VJIpVI2k2bt2rUYOHAgKzRNZdLoYmlpCVdXV7i6urKuvlKpFBKJBJ06dQLDMLCyskJwcHCbFhZdOnTowL4n+vfvz/bS3LlzR8tk0tnZudXNqgzDYN26ddi/fz/S09MbdH3gGt2fIT2JMC/t4s6lqYZNUoosFAqxadMmvHz5EjExMRCLxbQU2YyQTBoiNKdPn4avry8bFaCbSdMSFAoFrl+/DrVaDZVKpWWsaW9vz6nTdlVVFSQSCXr06MH2/hgLfb00JN7YkB4ico+2c+dOpKWlwd/f32hjNRZKpRJdunTB77//jilTprCP/+1vf0N2djbOnTvH4ejaD+1CXJpq2AReC9DixYvfaKI0hs2Ml5cX8vPztR777LPP8PXXX7f6ud9WiFXMoUOHkJSUhJMnT6JXr16s0AwePLjZgkDO4AUCAQYPHgzg9bEnmXAZhjHpEVJjmFJYdGmol4YUBDT1t84wDLZs2YKtW7ciLS0NQ4YMMdlYW0toaCiCg4Oxfft29rGBAwdCJBLRC30z0S7EhWu8vLwwf/581o0YAGxsbDhLWWyLVFZW4siRI0hMTMSxY8fg4uKCyZMnY8qUKQgODm5QEJrKlWcYBuXl5aw7QHPtWIwBEZaePXvCx8fH7Ec2pIdIJpPh1atXsLOza7CXhmEYbNu2Dd988w1Onjyp5WzOR/bt24fZs2djx44dCAsLw86dO/Hzzz/j9u3b1OHYTFBxMQNeXl6IjY1FbGws10N5K6iursbx48eRmJiII0eOwM7ODpMnT4ZYLEZoaCgrCAUFBXjy5AmcnJyaZU1PjpCI0CiVSjg7O0MoFBrlrkKTqqoqZGRkoFevXujdu7fRntdQFAoFW+JMSru7du0KpVKJgIAA/Pzzz1i3bh2OHz+OYcOGcT3cZrF9+3Z88803KCoqgr+/P7777ju8++67XA+r3UDFxQx4eXlBoVBAqVSiV69emD59Oj799FNelcC2VWpra3Hq1CkkJSXh0KFD6Ny5M6KjoxEaGopVq1bh//2//4fY2NgW7woYhkFlZSW7sq+trdXr+2UIlZWVkEgkvBEWXUgvzYkTJ7B8+XI4OTmhvLwcW7duxYIFC+ilOKVZUHExA9999x2CgoLg4OCAa9euYdWqVRCJRPjnP//J9dDeKpRKJdLS0vDLL78gJSUF/fr1Q0hISKszaYDXOw1iQ1NdXa11Kd6S5yXC4uHhAR8fH4PHYw4YhsEvv/yC//7v/4aHhweuXbsGOzs7iMVibNiwgR7rUhqFiouBGJK6SUhMTMT777+P0tJSODk5mWqI7ZKbN29i7NixmDdvHsaMGYPExEQkJydDoVBg0qRJEIlEeO+991pVqFFTU8MKTWVlJRwcHNi7isaelwiLp6cnr/pC9MEwDPbv349ly5YhKSkJERERrHifOnUKmzZt4rTCjsJ/qLgYiCGpm4Rnz56hZ8+euHLlCkJDQ001xHYJORJbs2YN+xjJpCFRAZWVlWwmzdixY1vlgqzvUpzY0Gj+7knUQFsQFgBISkrCX//6V+zbt6/BfiUKpTGouHDA4cOHER0djfz8fN5YZrwtKJXKRo+p1Go1rl69ygpNSUkJm0kzfvz4Vh31KBQKVmjKysrQrVs3CIVCdOnSBbdv324yaoAvpKamYt68edizZw/EYjHXw6G0Uai4mJjLly/jypUrCA8Ph52dHa5fv46PP/4YISEhSElJ4Xp47Rq1Wo3MzEw2k+bp06cYO3YsxGIxIiMjW2UEqVQqUVJSgmfPnuHVq1ewtrZGz5494eLiwuu7imPHjmHu3LnYtWsXpk+fzvVw3oD2jLUdqLiYmMzMTCxevBi5ublQKBTw9PTEjBkzsHLlSqOGUtHsitZB7PdJJs2DBw/YTJqoqCg4ODi0WGhevXrFHoUJBAJIpVLWydjFxQVCoRA2Nja8qb46c+YMZs6ciZ07d2LWrFlcD0cvtGes7UDF5S2ANIxt374dI0aMwE8//YR//vOfuHPnDj12MwCGYXD37l326Oz27dsYNWoURCIRoqOj4ezs3KQgEGHx8fHRatojxpoymQylpaWwsrJi72i4sMwnnD9/HtOnT8e2bdswd+5c3gieLrRnrO1AxeUtgGZXmA6GYfDgwQMkJiYiKSkJWVlZGDFiBJtJ4+rq+sZEXF5ejqysLPTu3btRcSfGmjKZDCUlJbC0tNTyOzPXBH/x4kVMmzYNmzdv5n0fC+0ZaztQcWnjUJM+88EwDPLz81mhuXr1KkJDQyESiSASidCzZ0+cOXMGFy5cwPz589GrV69mPzexzJdKpSgpKYGFhQUrNA4ODiYr+7127RpEIhHi4+OxZMkSXgsLQHvG2hJUXNo4z58/R48ePXDx4kUMHz6cfXzDhg3YvXs38vLyOBzd2wvDMHj27BmbSXPx4kX4+/vj3r17+Oijj7B27VqDJ2q1Wq3ld8YwjJbfmbGEJjMzE9HR0fjiiy8McjEwFrRn7O2Eiksbh4jLpUuXEBYWxj4eHx+P3377Dbm5uRyOrn3AMAwOHTqEGTNmYODAgbh58yb8/PzYTBpfX1+DJ27iDk2Epr6+nvU7a42x5o0bNzBx4kR89tlnWLlyJac7Ftoz9nbSZsPCKK8hhoq6CXsymYymaJqJCxcuYPbs2fj++++xYMECvHjxAikpKUhMTMSGDRvQt29frUyalkzkFhYWsLe3h729Pfr27ctms9y7d4811iR+Z5aWzXs737lzB5MmTUJsbCznwgK0LvgvKysLANiQPwp/oDuXtwCaXcEtOTk5yMrKQkxMjNbjxM4/NTUViYmJOHnyJDw9PdmogEGDBhl8xMUwjJbfWW1tbbNCwPLy8hAZGYn58+dj/fr1nAtLS6A9Y20LKi5vATS7om1QUVHBZtIcP34cQqGQFZqgoKBW3aVUV1ezR2ckBIwUBJBKqgcPHiAyMhKzZs3Cxo0b25w3mLl6xijGgYrLWwLNrmhbVFdX49ixY0hMTMTRo0dhb2/PZtK88847rcqOIcaaMpkMf/zxBw4ePIjw8HD8/vvvEIvF2Lp1a5sTFkrbg4oLpUXoq+wRCoVv3PlQmk9tbS1OnjyJpKQkpKamQiAQIDo6GmKxGMOHD2/2XYo+CgoK8NNPPyE5ORn5+fkICwvDtGnTMG3aNLqrpZgUunyhtBg/Pz8UFRWx/27evMn1kNo0AoEAIpEIu3fvRnFxMX7++WfU19dj9uzZ6NOnD5YtW4YzZ86grq6uxc/dqVMnpKam4r333sPTp08xZ84cHDt2DAMHDkRlZaUJXg2F8hq6c6G0iLi4OCQnJyM7O5vrobz11NXV4dy5czhw4ACSk5NRV1fHZtKEh4c3mUlTXFyMyMhIhIaGYteuXVpHbVVVVdSPi2JS6M6F0mLu378Pd3d3eHt7Y8aMGXj06BHXQ3or6dSpE8aOHYsdO3awDZu2trb429/+Bm9vb8yfPx+pqamora194/8tKSlBdHQ0AgMD8T//8z9v3OFQYaGYGrpzobSIY8eOoaamBn379oVUKsX69euRm5uL27dv0w5pM6FWq3HlyhV2R1NSUoLx48dDLBYjIiICCoUCUVFR6NOnD/bt29dgWTKFYkqouFBaRXV1NXr37o2VK1di+fLlXA+n3aFWqyGRSFgH58LCQnTu3BnvvPMOUlNTeWPoGB8fjyNHjiA7OxtWVlYoLy9/42sKCgqwZMkSpKWlQSAQYNasWdi8eTNvXgOlZdBjMUqr6Nq1KwYNGoT79+9zPZR2SYcOHTB06FBs3LgRubm5OH/+PEJDQ5GUlMSrSVmpVGL69On46KOP9H5epVIhKioK1dXVuHDhAvbu3YvExESsWLHCzCOlGAu6c6G0CoVCgd69e2PhwoX44osvuB4OheckJCQgNjb2jZ3LsWPHMGnSJBQWFsLd3R0AsHfvXsTExEAmk8HW1paD0VJaA925UFrEJ598gnPnzuHx48e4evUq3n//fVRUVGDu3LlcD43Shrl8+TL8/f1ZYQGA8ePHQ6FQQCKRcDgyiqFQ40pKi3j69ClmzpyJ0tJSdO/eHcOGDcOVK1doQx6lVRQXF79htOrg4AArKyvaoNtGoTsXSovYu3cvnj9/DqVSiWfPniExMREDBw406vc4f/48oqOj4e7uDgsLCyQnJ2t9nmEYxMXFwd3dHQKBAKNHj8bt27eNOgZK08TFxcHCwqLRfxkZGc1+Pn0mmgzDtClzTcp/oDsXCu+orq7GkCFD8Je//AXTpk174/PffPMNtmzZgoSEBPTt2xfr16/HuHHjkJeXh27dunEw4vbJ0qVLMWPGjEa/xsvLq1nP5erqiqtXr2o9VlZWhrq6Ohod0Uah4kLhHZGRkYiMjNT7OYZhsHXrVqxevRpTp04FAOzevRtCoRD/93//h0WLFplzqO2a1uSw6BIWFob4+HgUFRWx2SwnT56EtbU1goODjfI9KOaFHotR2hSPHz9GcXExIiIi2Mesra0xatQoXLp0icORURqjoKAA2dnZKCgogEqlQnZ2NrKzs1FVVQUAiIiIwMCBAzF79mxkZWXhzJkz+OSTT7BgwQJaKdZGoTsXSpuCXO7qHpUIhULk5+dzMSRKM/jiiy+we/du9uPAwEAAQHp6OkaPHo2OHTviyJEjWLx4MUaMGKHVRElpm1BxobRJdC956cUvv0lISEBCQkKjX+Ph4YHDhw+bZ0AUk0OPxShtCldXVwB4ozxVJpPRi18KhUdQcaG0Kby9veHq6opTp06xjymVSpw7dw7Dhw/ncGQUCkUTeixG4R1VVVV48OAB+/Hjx4+RnZ0NR0dHeHh4IDY2Fhs2bICvry98fX2xYcMGdOnSBbNmzeJw1BQKRRO6c6HwjoyMDAQGBrKXvsuXL0dgYCDrXbZy5UrExsZi8eLFCAkJwbNnz3Dy5MlW97g01bwZExPzRpPgsGHDWvU9KZS3FSouFN4xevRoMAzzxj9yIWxhYYG4uDgUFRVBLpfj3Llz8Pf3b/X3Jc2bP/zwQ4NfM2HCBK2I56NHj7b6+7YV4uPjMXz4cHTp0gX29vZ6v0Zfl/6OHTvMO1AKL6DHYhTKv2mseZNgbW3NFhW0N4htflhYGH755ZcGv27Xrl2YMGEC+7GdnZ05hkfhGVRcKJQWcPbsWbi4uMDe3h6jRo1CfHw8XFxcuB6WWVi7di0ANFlSbG9v324FmPIf6LEYhdJMIiMjsWfPHqSlpeHbb7/F9evX8d5770GhUHA9NF6xdOlSODs7Y+jQodixYwfUajXXQ6JwAN25UCjN5IMPPmD/29/fHyEhIfD09MSRI0dYn7P2zpdffokxY8ZAIBDgzJkzWLFiBUpLS7FmzRquh0YxM3TnQqEYiJubGzw9Pdt0xLOxbfPXrFmDsLAwBAQEYMWKFVi3bh02bdpkwldA4St050KhGMiLFy9QWFjIuvi2RYxpm6+PYcOGoaKiAlKplDootDOouFAo/6ax5k1HR0fExcVh2rRpcHNzw5MnT/D3v/8dzs7OmDJlCoejbh3GtM3XR1ZWFjp37txg6TLl7YWKC4XybzIyMhAeHs5+vHz5cgDA3Llz8eOPP+LmzZv49ddfUV5eDjc3N4SHh2Pfvn3tJqCsoKAAL1++1LLNB4A+ffrAxsYGqampKC4uRlhYGAQCAdLT07F69WosXLgQ1tbW3A6eYnYsGIZhuB4EhULhPzExMVq2+QRim3/8+HGsWrUKDx48gFqtho+PDz788EMsWbIElpZ0HdveoOJCoVAoFKNDq8UoFAqFYnSouFAoFArF6FBxoVAoFIrRoeJCoVAoFKNDxYVCoVAoRoeKC4VCoVCMDhUXCoVCoRgdKi4UCoVCMTpUXCgUCoVidKi4UCgUCsXoUHGhUCgUitGh4kKhUCgUo/P/AahkVioP9AixAAAAAElFTkSuQmCC",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"282.812703pt\" version=\"1.1\" viewBox=\"0 0 293.046528 282.812703\" width=\"293.046528pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:31:35.241094</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 282.812703 \nL 293.046528 282.812703 \nL 293.046528 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 30.649173 208.79334 \nL 118.351637 134.959642 \nL 117.264199 28.641901 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 50.271552 215.202009 \nL 136.929886 140.359605 \nL 136.63269 33.551249 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 70.174564 221.702333 \nL 155.751816 145.830397 \nL 156.266208 38.527773 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 90.364274 228.296292 \nL 174.822253 151.373421 \nL 176.170233 43.572863 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 110.84692 234.985924 \nL 194.146152 156.990115 \nL 196.350392 48.687945 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 131.628925 241.773327 \nL 213.7286 162.68196 \nL 216.812472 53.874486 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 152.7169 248.660659 \nL 233.574821 168.450473 \nL 237.562423 59.133994 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 31.412753 208.150508 \nL 29.118742 210.081757 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −15 -->\n     <g transform=\"translate(12.562191 232.063144)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 51.026476 214.550019 \nL 48.758448 216.5088 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(32.204183 238.60744)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 70.920505 221.040989 \nL 68.679441 223.027894 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- −5 -->\n     <g transform=\"translate(55.309396 245.245682)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 91.100894 227.62539 \nL 88.887809 229.64103 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 0 -->\n     <g transform=\"translate(79.71129 251.979909)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 111.57387 234.305257 \nL 109.389816 236.350258 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 5 -->\n     <g transform=\"translate(100.21772 258.812217)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 132.345842 241.082679 \nL 130.191907 243.157689 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 10 -->\n     <g transform=\"translate(117.84376 265.744764)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 153.42341 247.959809 \nL 151.300721 250.065494 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 15 -->\n     <g transform=\"translate(138.958578 272.779774)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 26.417944 91.67931 \nL 31.621475 204.06934 \nL 180.702852 252.487456 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 38.960592 82.526257 \nL 43.55657 194.065106 \nL 191.524418 241.381867 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 51.214301 73.584058 \nL 55.228638 184.281347 \nL 202.094934 230.533917 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 63.188943 64.84551 \nL 66.646278 174.710855 \nL 212.423037 219.934743 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.893943 56.303734 \nL 77.817719 165.346732 \nL 222.51697 209.575885 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 86.338307 47.952158 \nL 88.75084 156.182373 \nL 232.384608 199.44926 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.530646 39.784499 \nL 99.453186 147.211454 \nL 242.033478 189.547147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 108.479193 31.794748 \nL 109.931989 138.427914 \nL 251.470774 179.862159 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 179.44643 252.0794 \nL 183.21895 253.304626 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −15 -->\n     <g transform=\"translate(183.052142 273.533015)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 190.278123 240.983331 \nL 194.020198 242.179961 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- −10 -->\n     <g transform=\"translate(193.728624 262.262939)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 200.858638 230.144571 \nL 204.570656 231.313596 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- −5 -->\n     <g transform=\"translate(207.338527 251.254471)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 211.19661 219.554273 \nL 214.878958 220.696637 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 0 -->\n     <g transform=\"translate(221.717725 240.498607)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_14\">\n     <path d=\"M 221.300285 209.20399 \nL 224.953348 210.320594 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 5 -->\n     <g transform=\"translate(231.675923 229.98675)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_15\">\n     <path d=\"M 231.17754 199.085654 \nL 234.801697 200.177361 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(238.229493 219.710691)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_16\">\n     <path d=\"M 240.835901 189.191556 \nL 244.431528 190.259188 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 15 -->\n     <g transform=\"translate(247.748367 209.662583)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_17\">\n     <path d=\"M 250.282564 179.514321 \nL 253.850035 180.558667 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 20 -->\n     <g transform=\"translate(257.058404 199.834925)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_18\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 256.97117 157.885417 \nL 114.981321 117.439227 \nL 26.448165 190.147719 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.668006 142.66829 \nL 114.811966 102.711716 \nL 25.697362 174.556808 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.373481 127.262519 \nL 114.640613 87.810404 \nL 24.936894 158.765205 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.087756 111.664575 \nL 114.467225 72.732196 \nL 24.166574 142.769009 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.810997 95.870839 \nL 114.291767 57.473923 \nL 23.386209 126.564219 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.543374 79.877603 \nL 114.114202 42.03234 \nL 22.595601 110.146727 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 255.779094 157.545851 \nL 259.358175 158.565362 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 5 -->\n     <g transform=\"translate(272.16329 162.912453)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_18\">\n    <g id=\"line2d_21\">\n     <path d=\"M 256.468311 142.332737 \nL 260.070288 143.340203 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- 10 -->\n     <g transform=\"translate(269.789599 147.725757)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_19\">\n    <g id=\"line2d_22\">\n     <path d=\"M 257.166068 126.931105 \nL 260.791235 127.926149 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_19\">\n     <!-- 15 -->\n     <g transform=\"translate(270.60714 132.351371)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_20\">\n    <g id=\"line2d_23\">\n     <path d=\"M 257.872525 111.33743 \nL 261.521183 112.319662 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_20\">\n     <!-- 20 -->\n     <g transform=\"translate(271.434846 116.785793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_21\">\n    <g id=\"line2d_24\">\n     <path d=\"M 258.587847 95.548097 \nL 262.260301 96.517116 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_21\">\n     <!-- 25 -->\n     <g transform=\"translate(272.272911 101.025434)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_22\">\n    <g id=\"line2d_25\">\n     <path d=\"M 259.3122 79.5594 \nL 263.008763 80.514793 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_22\">\n     <!-- 30 -->\n     <g transform=\"translate(273.121528 85.066616)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_26\">\n    <path clip-path=\"url(#p6c7363f20c)\" d=\"M 132.187022 192.910136 \nL 131.490023 191.811004 \nL 131.466988 191.486208 \nL 131.580142 191.240471 \nL 132.096536 190.870531 \nL 133.415176 190.388534 \nL 145.092863 186.709425 \nL 151.445432 184.376021 \nL 156.896921 182.170116 \nL 163.531537 179.226863 \nL 171.525966 175.291505 \nL 176.078104 172.853228 \nL 181.013367 170.040368 \nL 186.329715 166.803481 \nL 192.010593 163.0923 \nL 198.019528 158.858984 \nL 204.293617 154.063063 \nL 210.736006 148.678473 \nL 217.207838 142.703018 \nL 223.52057 136.170202 \nL 229.430218 129.162882 \nL 234.636059 121.826959 \nL 238.78712 114.381977 \nL 241.500408 107.12365 \nL 242.394359 100.412153 \nL 241.138648 94.640357 \nL 237.516235 90.180306 \nL 231.486002 87.314309 \nL 223.226977 86.168093 \nL 213.143581 86.670803 \nL 201.820321 88.563167 \nL 189.932879 91.456915 \nL 178.141705 94.925198 \nL 167.000884 98.589458 \nL 156.905332 102.174413 \nL 148.080659 105.522012 \nL 140.60474 108.573923 \nL 134.444656 111.339624 \nL 129.495424 113.86459 \nL 125.612864 116.206132 \nL 122.637979 118.418502 \nL 120.413269 120.54568 \nL 118.792564 122.619318 \nL 117.646154 124.65962 \nL 116.862733 126.677472 \nL 116.349325 128.676937 \nL 116.030003 130.657534 \nL 115.743515 134.548099 \nL 115.392146 145.346023 \nL 115.036615 148.580369 \nL 114.479481 151.621482 \nL 113.697243 154.472925 \nL 112.668032 157.140561 \nL 111.366743 159.630121 \nL 109.762459 161.945173 \nL 107.817188 164.085124 \nL 105.485475 166.042995 \nL 102.714798 167.802612 \nL 101.146835 168.599611 \nL 99.447045 169.334878 \nL 97.607806 170.001949 \nL 95.621684 170.592876 \nL 93.481698 171.097973 \nL 91.181677 171.505598 \nL 88.716705 171.801875 \nL 86.08369 171.97046 \nL 83.282057 171.99231 \nL 80.31462 171.845509 \nL 77.188589 171.505198 \nL 73.916775 170.943669 \nL 70.51894 170.130672 \nL 67.023278 169.034074 \nL 63.467939 167.620943 \nL 59.902467 165.8592 \nL 56.388979 163.719935 \nL 53.002804 161.180438 \nL 49.832271 158.227989 \nL 46.977228 154.864187 \nL 44.545972 151.109547 \nL 42.650241 147.007726 \nL 41.398245 142.628649 \nL 40.886001 138.0695 \nL 41.187664 133.45269 \nL 42.346113 128.920144 \nL 44.365301 124.62385 \nL 47.205939 120.713503 \nL 50.785771 117.322909 \nL 54.984844 114.557449 \nL 59.655193 112.484794 \nL 64.633504 111.130675 \nL 69.754649 110.480106 \nL 74.864042 110.483509 \nL 79.827274 111.065983 \nL 84.536136 112.137797 \nL 88.911013 113.604193 \nL 92.900202 115.373366 \nL 96.476994 117.361917 \nL 99.635457 119.497966 \nL 102.385721 121.722243 \nL 104.749376 123.987767 \nL 106.755352 126.258641 \nL 108.436498 128.508425 \nL 109.82691 130.718425 \nL 110.959971 132.876035 \nL 111.867023 134.973311 \nL 112.576544 137.005759 \nL 113.113727 138.971384 \nL 113.500347 140.869908 \nL 113.892479 144.469915 \nL 113.864249 147.819852 \nL 113.485711 150.937543 \nL 112.794828 153.840185 \nL 111.80522 156.542267 \nL 110.511945 159.054461 \nL 108.895509 161.382731 \nL 106.924573 163.52716 \nL 104.557934 165.480248 \nL 103.211109 166.380013 \nL 101.746415 167.224362 \nL 100.156863 168.00893 \nL 98.435356 168.728207 \nL 96.574857 169.375355 \nL 94.568626 169.94202 \nL 92.410517 170.4181 \nL 90.095355 170.791523 \nL 87.619411 171.048014 \nL 84.980997 171.170876 \nL 82.181191 171.140808 \nL 79.224713 170.935793 \nL 76.120949 170.53111 \nL 72.88513 169.899507 \nL 69.539654 169.011643 \nL 66.115466 167.836875 \nL 62.653451 166.34449 \nL 59.205662 164.505492 \nL 55.836218 162.295032 \nL 52.621579 159.695494 \nL 49.64988 156.700214 \nL 47.019005 153.317577 \nL 44.833057 149.575172 \nL 43.197032 145.523355 \nL 42.209783 141.237435 \nL 41.955608 136.817669 \nL 42.495327 132.386212 \nL 43.858029 128.080676 \nL 46.034908 124.044515 \nL 48.976565 120.415157 \nL 52.594632 117.311659 \nL 56.767895 114.823943 \nL 61.352093 113.005497 \nL 66.191925 111.870838 \nL 71.133358 111.397853 \nL 76.034467 111.534204 \nL 80.773566 112.206193 \nL 85.254006 113.328284 \nL 89.405757 114.811786 \nL 93.184342 116.571702 \nL 96.567888 118.531348 \nL 99.55314 120.624852 \nL 102.151121 122.79798 \nL 104.382941 125.007712 \nL 106.276098 127.221095 \nL 107.861407 129.413776 \nL 109.170625 131.568419 \nL 110.234707 133.673248 \nL 111.082632 135.720738 \nL 111.740676 137.706534 \nL 112.232044 139.628575 \nL 112.576768 141.486413 \nL 112.891043 145.012678 \nL 112.785258 148.297026 \nL 112.322664 151.354767 \nL 111.536345 154.200612 \nL 110.436288 156.846515 \nL 109.014714 159.300377 \nL 107.249862 161.56489 \nL 105.108717 163.636056 \nL 102.549242 165.501103 \nL 101.097611 166.349237 \nL 99.522816 167.135537 \nL 97.81831 167.854456 \nL 95.97766 168.499147 \nL 93.994792 169.061284 \nL 91.864281 169.530857 \nL 89.581742 169.895954 \nL 87.144297 170.142565 \nL 84.551156 170.254389 \nL 81.804329 170.212695 \nL 78.909461 169.996245 \nL 75.87682 169.581341 \nL 72.722407 168.942062 \nL 69.469181 168.050739 \nL 66.14832 166.878764 \nL 62.800484 165.39783 \nL 59.476854 163.58169 \nL 56.239859 161.408479 \nL 53.163261 158.863655 \nL 50.331361 155.94342 \nL 47.836988 152.658491 \nL 45.778027 149.037786 \nL 44.25235 145.131501 \nL 43.351213 141.012839 \nL 43.15153 136.777702 \nL 43.707784 132.541578 \nL 45.044679 128.433453 \nL 47.151751 124.586908 \nL 49.98116 121.129342 \nL 53.449376 118.170879 \nL 57.44285 115.794743 \nL 61.82694 114.050786 \nL 66.456789 112.953201 \nL 71.188477 112.482608 \nL 75.888892 112.591714 \nL 80.443209 113.213219 \nL 84.759403 114.26838 \nL 88.769891 115.674912 \nL 92.43073 117.353287 \nL 95.719086 119.231118 \nL 98.629697 121.245645 \nL 101.170938 123.344647 \nL 103.360984 125.486221 \nL 105.224372 127.637873 \nL 106.789122 129.775212 \nL 108.084464 131.880569 \nL 109.139156 133.941635 \nL 109.98032 135.950285 \nL 110.632706 137.901522 \nL 111.118292 139.792668 \nL 111.456139 141.622694 \nL 111.750542 145.100516 \nL 111.613557 148.343003 \nL 111.106075 151.362455 \nL 110.259806 154.170975 \nL 109.083886 156.778039 \nL 107.570001 159.188924 \nL 105.696179 161.403276 \nL 103.4297 163.413358 \nL 102.136692 164.336797 \nL 100.729724 165.201688 \nL 99.202924 166.003797 \nL 97.550354 166.737822 \nL 95.7662 167.39724 \nL 93.844997 167.974139 \nL 91.78192 168.459031 \nL 89.57314 168.840664 \nL 87.216276 169.105845 \nL 84.710932 169.239278 \nL 82.059354 169.223432 \nL 79.267207 169.038507 \nL 76.344472 168.66248 \nL 73.30646 168.071337 \nL 70.174913 167.239523 \nL 66.979159 166.140695 \nL 63.757218 164.748846 \nL 60.556748 163.039901 \nL 57.435686 160.993799 \nL 54.462314 158.597119 \nL 51.71457 155.84614 \nL 49.278279 152.750194 \nL 47.24411 149.334961 \nL 45.703106 145.645262 \nL 44.74089 141.746739 \nL 44.430793 137.72574 \nL 44.826613 133.68687 \nL 45.955856 129.747879 \nL 47.814618 126.03206 \nL 50.365047 122.658865 \nL 53.536221 119.733934 \nL 57.228517 117.340173 \nL 61.32107 115.531277 \nL 65.681235 114.328803 \nL 70.174628 113.723097 \nL 74.674396 113.677552 \nL 79.068569 114.135209 \nL 83.264935 115.02632 \nL 87.193277 116.275629 \nL 90.805327 117.808521 \nL 94.072961 119.555517 \nL 96.985293 121.455086 \nL 99.545223 123.454983 \nL 101.765921 125.512424 \nL 103.667582 127.593509 \nL 105.274615 129.672209 \nL 106.61337 131.729152 \nL 107.710404 133.750398 \nL 108.591222 135.726321 \nL 109.27945 137.650603 \nL 109.796335 139.519425 \nL 110.160515 141.330775 \nL 110.387959 143.083933 \nL 110.483743 146.416826 \nL 110.162794 149.524692 \nL 109.472022 152.416926 \nL 108.432785 155.101949 \nL 107.04657 157.58491 \nL 105.299471 159.865945 \nL 103.165689 161.938404 \nL 101.943229 162.891952 \nL 100.610589 163.78663 \nL 99.162592 164.618597 \nL 97.593967 165.383039 \nL 95.899517 166.074028 \nL 94.074335 166.68437 \nL 92.11407 167.205457 \nL 90.015247 167.627088 \nL 87.775666 167.937314 \nL 85.394893 168.12229 \nL 82.874832 168.166174 \nL 80.220415 168.051074 \nL 77.440395 167.757097 \nL 74.548236 167.262524 \nL 71.563091 166.544197 \nL 68.510823 165.578136 \nL 65.425009 164.340484 \nL 62.347802 162.808843 \nL 59.330575 160.964037 \nL 56.434109 158.792328 \nL 53.728133 156.288048 \nL 51.290015 153.45651 \nL 49.202373 150.316963 \nL 47.549465 146.905228 \nL 46.41237 143.275499 \nL 45.863163 139.500822 \nL 45.958517 135.671624 \nL 46.733468 131.892047 \nL 48.196236 128.274015 \nL 50.324986 124.929455 \nL 53.06734 121.961587 \nL 56.342928 119.456526 \nL 60.048891 117.476482 \nL 64.067551 116.055699 \nL 68.275207 115.199628 \nL 72.550833 114.8873 \nL 76.783548 115.076195 \nL 80.878146 115.708536 \nL 84.758345 116.717937 \nL 88.367875 118.035445 \nL 91.669721 119.594351 \nL 94.644079 121.333575 \nL 97.285547 123.19965 \nL 99.600005 125.147493 \nL 101.60156 127.140343 \nL 103.309782 129.149126 \nL 104.747355 131.151495 \nL 105.938211 133.13078 \nL 106.906109 135.074913 \nL 107.673636 136.975498 \nL 108.261551 138.82694 \nL 108.6884 140.62577 \nL 108.970351 142.37007 \nL 109.121175 144.059016 \nL 109.073083 147.270986 \nL 108.610789 150.265551 \nL 107.772178 153.048681 \nL 106.572202 155.624893 \nL 105.007956 157.994882 \nL 103.062824 160.153549 \nL 101.939362 161.149946 \nL 100.710028 162.087877 \nL 99.370457 162.964051 \nL 97.916114 163.77432 \nL 96.342454 164.513559 \nL 94.645111 165.175535 \nL 92.820124 165.752773 \nL 90.864229 166.236407 \nL 88.77519 166.616038 \nL 86.552218 166.879611 \nL 84.196459 167.013301 \nL 81.711583 167.001468 \nL 79.104449 166.826657 \nL 76.385872 166.46973 \nL 73.571462 165.91013 \nL 70.682522 165.126345 \nL 67.746929 164.096632 \nL 64.799974 162.80005 \nL 61.885017 161.217837 \nL 59.053837 159.335191 \nL 56.366507 157.143415 \nL 53.89062 154.642365 \nL 51.699659 151.843043 \nL 49.870373 148.770076 \nL 48.479095 145.46372 \nL 47.597065 141.980957 \nL 47.285054 138.395198 \nL 47.587708 134.794215 \nL 48.528367 131.276139 \nL 50.105084 127.943594 \nL 52.288576 124.896532 \nL 55.02271 122.224621 \nL 58.227589 120.000273 \nL 61.805011 118.27335 \nL 65.645576 117.068419 \nL 69.636465 116.384776 \nL 73.668849 116.199078 \nL 77.644117 116.469913 \nL 81.478333 117.143382 \nL 85.104717 118.158831 \nL 88.474325 119.453924 \nL 91.555191 120.968673 \nL 94.330438 122.648233 \nL 96.795775 124.444518 \nL 98.95675 126.316831 \nL 100.826095 128.231798 \nL 102.421308 130.162819 \nL 103.762617 132.08924 \nL 104.871351 133.995455 \nL 105.768686 135.869984 \nL 106.474775 137.704655 \nL 107.008153 139.493844 \nL 107.385396 141.233886 \nL 107.620961 142.922546 \nL 107.727158 144.558612 \nL 107.714214 146.141583 \nL 107.362156 149.148291 \nL 106.610208 151.944487 \nL 105.480195 154.531948 \nL 103.975347 156.909466 \nL 103.07937 158.017732 \nL 102.08466 159.070535 \nL 100.988256 160.065866 \nL 99.786775 161.001084 \nL 98.476554 161.872825 \nL 97.053791 162.676897 \nL 95.514708 163.408182 \nL 93.855749 164.060502 \nL 92.073815 164.62651 \nL 90.166542 165.097554 \nL 88.132644 165.463568 \nL 85.972301 165.712964 \nL 83.687646 165.832562 \nL 81.283303 165.807573 \nL 78.76702 165.621639 \nL 76.150367 165.256998 \nL 73.449497 164.69479 \nL 70.685923 163.915531 \nL 67.887296 162.89984 \nL 65.088083 161.629443 \nL 62.330073 160.088476 \nL 59.662551 158.265131 \nL 57.142062 156.1536 \nL 54.831542 153.756236 \nL 52.79869 151.0858 \nL 51.113475 148.167525 \nL 49.844746 145.040717 \nL 49.056028 141.759498 \nL 48.800769 138.392294 \nL 49.117466 135.019824 \nL 50.025252 131.7314 \nL 51.520566 128.619746 \nL 53.575581 125.774752 \nL 56.138722 123.276921 \nL 59.137447 121.191408 \nL 62.483006 119.563522 \nL 66.076586 118.416315 \nL 69.816053 117.75057 \nL 73.602414 117.54693 \nL 77.345307 117.769748 \nL 80.967003 118.371807 \nL 84.404755 119.299264 \nL 87.611587 120.496101 \nL 90.555728 121.907739 \nL 93.219107 123.48366 \nL 95.595246 125.178968 \nL 97.686913 126.955159 \nL 99.503769 128.780164 \nL 101.060219 130.628009 \nL 102.373539 132.478161 \nL 103.462371 134.314785 \nL 104.345529 136.125937 \nL 105.04115 137.902841 \nL 105.566094 139.639231 \nL 105.935577 141.33075 \nL 106.162982 142.974499 \nL 106.259786 144.56864 \nL 106.23559 146.112062 \nL 106.098206 147.604157 \nL 105.506922 150.433214 \nL 104.517664 153.054122 \nL 103.142478 155.46377 \nL 102.309646 156.587314 \nL 101.378174 157.65483 \nL 100.345957 158.664346 \nL 99.210448 159.613316 \nL 97.968788 160.498533 \nL 96.617955 161.316038 \nL 95.154929 162.061025 \nL 93.576883 162.727728 \nL 91.881405 163.309318 \nL 90.066764 163.797806 \nL 88.132217 164.183924 \nL 86.078383 164.457062 \nL 83.907664 164.605197 \nL 81.624738 164.614904 \nL 79.237122 164.4714 \nL 76.755783 164.158697 \nL 74.195803 163.659887 \nL 71.577062 162.957574 \nL 68.924903 162.034513 \nL 66.270713 160.874489 \nL 63.65235 159.463445 \nL 61.114305 157.790903 \nL 58.707483 155.851628 \nL 56.488486 153.64747 \nL 54.518236 151.189293 \nL 52.859884 148.498773 \nL 51.57596 145.609789 \nL 50.724829 142.569167 \nL 50.356634 139.43642 \nL 50.509096 136.282216 \nL 51.203578 133.185502 \nL 52.441999 130.22928 \nL 54.205082 127.495462 \nL 56.452311 125.059249 \nL 59.123802 122.983824 \nL 62.143919 121.316099 \nL 65.426247 120.08401 \nL 68.879279 119.295813 \nL 72.412153 118.941258 \nL 75.939747 118.994337 \nL 79.386687 119.417088 \nL 82.690004 120.163761 \nL 85.800395 121.184868 \nL 88.682262 122.430638 \nL 91.312793 123.853668 \nL 93.680378 125.410742 \nL 95.782671 127.063868 \nL 97.624551 128.78065 \nL 99.216146 130.534185 \nL 100.571082 132.302679 \nL 101.704986 134.068857 \nL 102.634283 135.819309 \nL 103.375279 137.543838 \nL 103.943503 139.234838 \nL 104.353249 140.886758 \nL 104.617315 142.495626 \nL 104.746864 144.058652 \nL 104.751388 145.573914 \nL 104.638747 147.040082 \nL 104.41525 148.456212 \nL 104.085766 149.821568 \nL 103.653853 151.135475 \nL 103.12189 152.397225 \nL 102.491212 153.605948 \nL 101.762238 154.760548 \nL 100.934608 155.8596 \nL 100.007307 156.901289 \nL 98.978797 157.883314 \nL 97.847149 158.802823 \nL 96.610187 159.656314 \nL 95.265649 160.439552 \nL 93.81136 161.14748 \nL 92.245436 161.774122 \nL 90.566516 162.312491 \nL 88.774042 162.754502 \nL 86.868566 163.090907 \nL 84.852123 163.311235 \nL 82.72865 163.403788 \nL 80.504463 163.355671 \nL 78.188773 163.152917 \nL 75.794266 162.780687 \nL 73.337678 162.223614 \nL 70.840387 161.466311 \nL 68.328931 160.494037 \nL 65.835431 159.293612 \nL 63.397821 157.854543 \nL 61.05978 156.170371 \nL 58.870297 154.240189 \nL 56.882719 152.07027 \nL 55.153237 149.675663 \nL 53.738727 147.081563 \nL 52.693976 144.32422 \nL 52.068405 141.451173 \nL 51.902492 138.520504 \nL 52.224223 135.599017 \nL 53.046004 132.759273 \nL 54.362431 130.075633 \nL 56.149332 127.619665 \nL 58.364339 125.455409 \nL 60.949007 123.635124 \nL 63.832313 122.19604 \nL 66.935155 121.15858 \nL 70.175266 120.52618 \nL 73.472021 120.286648 \nL 76.75061 120.414732 \nL 79.945238 120.875411 \nL 83.001177 121.627435 \nL 85.875681 122.626673 \nL 88.537888 123.828961 \nL 90.967975 125.192291 \nL 93.155757 126.678286 \nL 95.099038 128.253054 \nL 96.801858 129.887509 \nL 98.272822 131.557299 \nL 99.523591 133.242491 \nL 100.567611 134.927077 \nL 101.419072 136.598441 \nL 102.092114 138.246804 \nL 102.600242 139.864705 \nL 102.955929 141.446526 \nL 103.170368 142.988081 \nL 103.253344 144.486269 \nL 103.21319 145.938782 \nL 103.056815 147.343857 \nL 102.789766 148.700091 \nL 102.416323 150.006261 \nL 101.939611 151.261208 \nL 101.361718 152.463698 \nL 100.683828 153.612336 \nL 99.906336 154.705473 \nL 99.028981 155.74112 \nL 98.050981 156.716864 \nL 96.971168 157.629788 \nL 95.788129 158.476393 \nL 94.500372 159.252513 \nL 93.106498 159.953227 \nL 91.605403 160.572788 \nL 89.996503 161.104537 \nL 88.279999 161.540833 \nL 86.457167 161.873007 \nL 84.530712 162.091324 \nL 82.505144 162.184994 \nL 80.387212 162.142234 \nL 78.186369 161.950381 \nL 75.915275 161.596129 \nL 73.590298 161.06585 \nL 71.232001 160.346072 \nL 68.865581 159.424108 \nL 66.521183 158.288886 \nL 64.234036 156.931941 \nL 62.044347 155.348602 \nL 59.996826 153.539309 \nL 58.139808 151.51098 \nL 56.523862 149.27835 \nL 55.199892 146.865072 \nL 54.216705 144.304441 \nL 53.618202 141.63951 \nL 53.440315 138.922396 \nL 53.708005 136.212701 \nL 54.43265 133.574984 \nL 55.610134 131.075438 \nL 57.220001 128.778011 \nL 59.225849 126.740426 \nL 61.577038 125.010532 \nL 64.211543 123.623474 \nL 67.059685 122.600009 \nL 70.048268 121.946145 \nL 73.104717 121.654063 \nL 76.160762 121.704073 \nL 79.155343 122.067275 \nL 82.036629 122.708529 \nL 84.76303 123.589305 \nL 87.303374 124.670254 \nL 89.636366 125.913234 \nL 91.749548 127.282753 \nL 93.637953 128.746909 \nL 95.30263 130.277818 \nL 96.749194 131.851703 \nL 97.986475 133.448714 \nL 99.025348 135.052604 \nL 99.877749 136.650266 \nL 100.555906 138.231305 \nL 101.071747 139.787556 \nL 101.436489 141.312675 \nL 101.660352 142.801766 \nL 101.752402 144.251038 \nL 101.720474 145.657532 \nL 101.571152 147.018886 \nL 101.309825 148.333131 \nL 100.94074 149.59853 \nL 100.467104 150.813432 \nL 99.891184 151.976152 \nL 99.214424 153.084873 \nL 98.437566 154.13754 \nL 97.560775 155.131787 \nL 96.583775 156.06484 \nL 95.50598 156.933444 \nL 94.326659 157.733786 \nL 93.045091 158.461419 \nL 91.660748 159.111182 \nL 90.173509 159.677134 \nL 88.583892 160.152503 \nL 86.893313 160.529627 \nL 85.10439 160.79993 \nL 83.221271 160.95394 \nL 81.250009 160.981318 \nL 79.198964 160.870969 \nL 77.079226 160.61123 \nL 74.90505 160.190123 \nL 72.694277 159.595753 \nL 70.468719 158.816817 \nL 68.254442 157.843266 \nL 66.081933 156.667127 \nL 63.986049 155.283451 \nL 62.005721 153.691418 \nL 60.183285 151.89547 \nL 58.563455 149.90647 \nL 57.191845 147.74269 \nL 56.113058 145.430558 \nL 55.368419 143.004956 \nL 54.993434 140.508927 \nL 55.015202 137.99265 \nL 55.450004 135.511679 \nL 56.301387 133.124439 \nL 57.558948 130.889162 \nL 59.198128 128.860534 \nL 61.181025 127.086458 \nL 63.458287 125.605219 \nL 65.971845 124.443481 \nL 68.658239 123.615275 \nL 71.452169 123.122093 \nL 74.289878 122.953929 \nL 77.112107 123.091159 \nL 79.866353 123.506835 \nL 82.508347 124.169161 \nL 85.002756 125.043868 \nL 87.323195 126.09625 \nL 89.451686 127.292798 \nL 91.377727 128.602359 \nL 93.097138 129.996846 \nL 94.610821 131.451611 \nL 95.92353 132.945494 \nL 97.042747 134.46067 \nL 97.977693 135.982387 \nL 98.738517 137.498595 \nL 99.335628 138.999569 \nL 99.779206 140.477525 \nL 100.078845 141.926271 \nL 100.243305 143.340872 \nL 100.280375 144.717382 \nL 100.196801 146.052581 \nL 99.998274 147.343777 \nL 99.68946 148.588617 \nL 99.274069 149.784946 \nL 98.754927 150.930659 \nL 98.134081 152.023597 \nL 97.412907 153.061453 \nL 96.592227 154.04166 \nL 95.672437 154.961326 \nL 94.653644 155.817144 \nL 93.535806 156.605322 \nL 92.318902 157.321508 \nL 91.003104 157.960726 \nL 89.588976 158.517323 \nL 88.077699 158.98491 \nL 86.471307 159.356334 \nL 84.772975 159.623671 \nL 82.987314 159.778234 \nL 81.120707 159.81064 \nL 79.181659 159.710919 \nL 77.181175 159.468692 \nL 75.133126 159.073428 \nL 73.054601 158.514816 \nL 70.966209 157.783226 \nL 68.89231 156.870303 \nL 66.861096 155.769694 \nL 64.904522 154.477893 \nL 63.057969 152.995143 \nL 61.359647 151.326424 \nL 59.849649 149.482406 \nL 58.568648 147.480242 \nL 57.556252 145.344157 \nL 56.84905 143.105651 \nL 56.478458 140.803202 \nL 56.468549 138.481407 \nL 56.834018 136.189445 \nL 57.578547 133.97901 \nL 58.693785 131.901745 \nL 60.159099 130.006465 \nL 61.94219 128.336405 \nL 64.000596 126.926813 \nL 66.283905 125.80317 \nL 68.736499 124.980182 \nL 71.300525 124.461709 \nL 73.918801 124.241457 \nL 76.537407 124.3044 \nL 79.107749 124.628606 \nL 81.588008 125.187301 \nL 83.943924 125.950869 \nL 86.148992 126.88868 \nL 88.184163 127.970569 \nL 90.037179 129.16797 \nL 91.701664 130.45468 \nL 93.17609 131.807276 \nL 94.462743 133.205287 \nL 95.566726 134.63117 \nL 96.495066 136.070105 \nL 97.255958 137.509761 \nL 97.858132 138.939976 \nL 98.310363 140.352442 \nL 98.62111 141.740383 \nL 98.798252 143.098282 \nL 98.848916 144.421599 \nL 98.779394 145.706564 \nL 98.595093 146.94995 \nL 98.300553 148.148917 \nL 97.899483 149.300842 \nL 97.39483 150.40321 \nL 96.788858 151.453482 \nL 96.083253 152.448998 \nL 95.279232 153.386888 \nL 94.377662 154.263988 \nL 93.3792 155.076764 \nL 92.284433 155.82124 \nL 91.094035 156.49294 \nL 89.808953 157.086829 \nL 88.430591 157.597264 \nL 86.961034 158.017966 \nL 85.403278 158.342003 \nL 83.761501 158.561806 \nL 82.04134 158.669203 \nL 80.250194 158.655515 \nL 78.397547 158.511685 \nL 76.495277 158.228486 \nL 74.557969 157.79681 \nL 72.603184 157.208029 \nL 70.651676 156.454474 \nL 68.727511 155.530001 \nL 66.858036 154.430676 \nL 65.073706 153.155511 \nL 63.407657 151.707275 \nL 61.895021 150.093312 \nL 60.571962 148.326254 \nL 59.474425 146.424629 \nL 58.636588 144.413178 \nL 58.089121 142.322817 \nL 57.85736 140.190172 \nL 57.959492 138.056617 \nL 58.40497 135.966781 \nL 59.193321 133.966638 \nL 60.313507 132.101274 \nL 61.743957 130.412544 \nL 63.453347 128.936853 \nL 65.402034 127.703265 \nL 67.544061 126.732194 \nL 69.82953 126.034744 \nL 72.207097 125.61277 \nL 74.626393 125.459596 \nL 77.040126 125.56125 \nL 79.405753 125.89802 \nL 81.686625 126.446162 \nL 83.852617 127.179562 \nL 85.880258 128.071246 \nL 87.752467 129.09459 \nL 89.458 130.22428 \nL 90.990681 131.436946 \nL 92.348552 132.711553 \nL 93.532998 134.029539 \nL 94.547904 135.37482 \nL 95.398909 136.733661 \nL 96.092742 138.09446 \nL 96.636689 139.447514 \nL 97.038163 140.784742 \nL 97.304377 142.099436 \nL 97.442112 143.385995 \nL 97.457561 144.63971 \nL 97.356235 145.856565 \nL 97.142935 147.033043 \nL 96.821747 148.165969 \nL 96.396076 149.252379 \nL 95.868706 150.289389 \nL 95.241885 151.274094 \nL 94.51741 152.203469 \nL 93.696741 153.07429 \nL 92.781118 153.883047 \nL 91.771691 154.625883 \nL 90.669679 155.298533 \nL 89.476518 155.896268 \nL 88.194043 156.413859 \nL 86.824689 156.845551 \nL 85.371694 157.185045 \nL 83.83934 157.425516 \nL 82.233204 157.559656 \nL 80.560411 157.579752 \nL 78.82992 157.477809 \nL 77.052785 157.245742 \nL 75.242424 156.875607 \nL 73.414839 156.359938 \nL 71.588795 155.692136 \nL 69.785922 154.866968 \nL 68.030681 153.881121 \nL 66.350207 152.733844 \nL 64.77396 151.42761 \nL 63.333154 149.968797 \nL 62.059958 148.368304 \nL 60.986451 146.642045 \nL 60.143356 144.811257 \nL 59.558592 142.902499 \nL 59.255732 140.94733 \nL 59.252466 138.981553 \nL 59.559222 137.044094 \nL 60.178066 135.175445 \nL 61.10204 133.415877 \nL 62.315019 131.803496 \nL 63.792165 130.372319 \nL 65.500965 129.150615 \nL 67.402729 128.159595 \nL 69.454508 127.412653 \nL 71.611153 126.915167 \nL 73.827398 126.664863 \nL 76.059776 126.65264 \nL 78.268192 126.863758 \nL 80.417139 127.279186 \nL 82.476445 127.877043 \nL 84.421623 128.633916 \nL 86.233844 129.526038 \nL 87.899608 130.530204 \nL 89.410212 131.6245 \nL 90.761078 132.788737 \nL 91.951029 134.004744 \nL 92.981563 135.256436 \nL 93.856163 136.529812 \nL 94.579696 137.812807 \nL 95.15788 139.095145 \nL 95.596852 140.368097 \nL 95.902828 141.624292 \nL 96.081847 142.857483 \nL 96.139585 144.062339 \nL 96.081238 145.234267 \nL 95.911451 146.369231 \nL 95.6343 147.463595 \nL 94.771443 149.517181 \nL 93.514918 151.369179 \nL 91.881021 152.992916 \nL 89.883353 154.358355 \nL 87.536971 155.430165 \nL 84.863454 156.166498 \nL 83.414009 156.393909 \nL 81.896917 156.518723 \nL 80.319534 156.534005 \nL 78.690891 156.432661 \nL 77.021924 156.207628 \nL 75.325692 155.852098 \nL 73.617547 155.359825 \nL 71.915264 154.725481 \nL 70.239089 153.945104 \nL 68.61168 153.016574 \nL 67.057917 151.940174 \nL 65.604562 150.719138 \nL 64.279716 149.360213 \nL 63.112093 147.874157 \nL 62.130105 146.276107 \nL 61.360744 144.58579 \nL 60.828348 142.827475 \nL 60.553307 141.02964 \nL 60.550777 139.224311 \nL 60.829533 137.446044 \nL 61.391091 135.730653 \nL 62.229145 134.113688 \nL 63.329491 132.6288 \nL 64.670395 131.306165 \nL 66.223444 130.171075 \nL 67.954807 129.242837 \nL 69.826807 128.534105 \nL 71.799636 128.050664 \nL 73.83313 127.791659 \nL 75.888376 127.750244 \nL 77.92911 127.914502 \nL 79.922788 128.268557 \nL 81.841317 128.793746 \nL 83.661423 129.469761 \nL 85.364715 130.275658 \nL 86.937484 131.190687 \nL 88.370304 132.194974 \nL 89.65751 133.269942 \nL 90.796603 134.39863 \nL 91.78764 135.565814 \nL 92.632644 136.758028 \nL 93.33507 137.96351 \nL 93.899322 139.172076 \nL 94.330367 140.374949 \nL 94.633405 141.564592 \nL 94.813623 142.734522 \nL 94.876012 143.879123 \nL 94.665569 146.07329 \nL 94.034449 148.1136 \nL 93.008307 149.971158 \nL 91.60725 151.618203 \nL 89.848301 153.025421 \nL 87.74886 154.159929 \nL 85.331022 154.983921 \nL 82.626757 155.454235 \nL 79.683812 155.523156 \nL 78.143633 155.391545 \nL 76.572053 155.141082 \nL 74.982254 154.76613 \nL 73.389468 154.26175 \nL 71.811049 153.62406 \nL 70.266463 152.850625 \nL 68.77716 151.940896 \nL 67.366355 150.896678 \nL 66.058638 149.722598 \nL 64.879425 148.426552 \nL 63.854271 147.020061 \nL 63.008012 145.518513 \nL 62.363764 143.941258 \nL 61.941864 142.311437 \nL 61.758756 140.655601 \nL 61.82597 139.003034 \nL 62.149208 137.384819 \nL 62.727708 135.832676 \nL 63.553895 134.377679 \nL 64.613415 133.04887 \nL 65.885559 131.871988 \nL 67.34408 130.868332 \nL 68.9583 130.053927 \nL 70.694473 129.439043 \nL 72.517234 129.028064 \nL 74.39107 128.819731 \nL 76.281662 128.807711 \nL 78.157018 128.981363 \nL 79.988376 129.326687 \nL 81.750783 129.827276 \nL 83.42342 130.465279 \nL 84.989649 131.222222 \nL 86.43686 132.079736 \nL 87.756141 133.020091 \nL 88.941864 134.02662 \nL 89.991178 135.083958 \nL 90.903513 136.178189 \nL 91.680078 137.296879 \nL 92.323406 138.429035 \nL 92.836949 139.565027 \nL 93.491084 141.815949 \nL 93.67695 143.994437 \nL 93.427923 146.057814 \nL 92.773222 147.971455 \nL 91.737249 149.704979 \nL 90.340634 151.229174 \nL 88.602566 152.513613 \nL 86.544061 153.52493 \nL 84.192076 154.225857 \nL 81.584345 154.575226 \nL 78.774718 154.529313 \nL 77.316777 154.344506 \nL 75.838593 154.045041 \nL 74.353725 153.626554 \nL 72.877548 153.085573 \nL 71.427255 152.419839 \nL 70.021779 151.628682 \nL 68.681604 150.713401 \nL 67.428462 149.677659 \nL 66.284918 148.527858 \nL 65.273789 147.27346 \nL 64.417476 145.927206 \nL 63.737143 144.505241 \nL 63.251829 143.027031 \nL 62.977541 141.515099 \nL 62.926329 139.994548 \nL 63.1055 138.492356 \nL 63.516965 137.036478 \nL 64.156848 135.654797 \nL 65.015351 134.373998 \nL 66.076968 133.21847 \nL 67.321003 132.209251 \nL 68.72237 131.363226 \nL 70.252644 130.692536 \nL 71.881231 130.204296 \nL 73.576614 129.900625 \nL 75.307551 129.778926 \nL 77.04415 129.83244 \nL 78.758765 130.050933 \nL 80.426669 130.42148 \nL 82.026493 130.929274 \nL 83.540433 131.55839 \nL 84.95426 132.292477 \nL 86.257153 133.115315 \nL 87.441424 134.011256 \nL 88.502148 134.965559 \nL 89.436748 135.964573 \nL 90.244578 136.995877 \nL 91.484534 139.111796 \nL 92.240684 141.23788 \nL 92.540431 143.315101 \nL 92.413207 145.297061 \nL 91.886714 147.146047 \nL 90.985558 148.829496 \nL 89.731642 150.317033 \nL 88.145935 151.578165 \nL 86.251195 152.580606 \nL 84.075549 153.289366 \nL 81.656705 153.666717 \nL 79.046584 153.673421 \nL 76.315965 153.271539 \nL 74.933725 152.907034 \nL 73.558345 152.429321 \nL 72.205384 151.836573 \nL 70.891892 151.128363 \nL 69.636239 150.305996 \nL 68.457862 149.372821 \nL 67.376908 148.334555 \nL 66.413752 147.199546 \nL 65.588434 145.978967 \nL 64.91997 144.68691 \nL 64.425616 143.340334 \nL 64.120088 141.958874 \nL 64.014796 140.564443 \nL 64.117155 139.180679 \nL 64.430007 137.832226 \nL 64.951243 136.543869 \nL 65.673636 135.33962 \nL 66.584935 134.241747 \nL 67.668239 133.26992 \nL 68.902597 132.440444 \nL 70.26381 131.765698 \nL 71.725408 131.253815 \nL 73.259666 130.908581 \nL 74.838643 130.729598 \nL 76.43513 130.712653 \nL 78.023495 130.850216 \nL 79.580323 131.13209 \nL 81.084907 131.546057 \nL 82.519518 132.078552 \nL 83.869507 132.715268 \nL 85.123257 133.4417 \nL 86.272 134.24356 \nL 87.309556 135.107137 \nL 89.0374 136.968732 \nL 90.296473 138.934996 \nL 91.096442 140.93067 \nL 91.457892 142.895383 \nL 91.405736 144.78075 \nL 90.965226 146.547071 \nL 90.16016 148.160176 \nL 89.012856 149.588726 \nL 87.545445 150.802042 \nL 85.78218 151.768584 \nL 83.752533 152.455112 \nL 81.494874 152.826738 \nL 79.060487 152.848108 \nL 76.517467 152.486028 \nL 73.953861 151.713858 \nL 72.697684 151.168968 \nL 71.478963 150.517803 \nL 70.314387 149.761941 \nL 69.221505 148.904801 \nL 68.218405 147.951888 \nL 67.323304 146.91101 \nL 66.554039 145.792428 \nL 65.927498 144.608926 \nL 65.458975 143.375742 \nL 65.161535 142.110404 \nL 65.045345 140.832387 \nL 65.117111 139.562645 \nL 65.379591 138.323013 \nL 65.831244 137.135472 \nL 66.466117 136.021394 \nL 67.273878 135.00073 \nL 68.240113 134.09128 \nL 69.346799 133.308041 \nL 70.572978 132.66269 \nL 71.895533 132.163302 \nL 73.29004 131.814212 \nL 74.731657 131.616084 \nL 76.195944 131.56619 \nL 77.659597 131.658812 \nL 79.101048 131.88571 \nL 80.500922 132.236689 \nL 81.842329 132.700161 \nL 83.111008 133.26367 \nL 85.386217 134.639361 \nL 87.262771 136.262829 \nL 88.710191 138.041615 \nL 89.722441 139.896059 \nL 90.309223 141.760047 \nL 90.48884 143.579582 \nL 90.283204 145.310291 \nL 89.714953 146.914672 \nL 88.80639 148.359505 \nL 87.579862 149.613677 \nL 86.059273 150.646525 \nL 84.272416 151.426803 \nL 82.25398 151.922417 \nL 80.048891 152.101073 \nL 77.715738 151.932126 \nL 75.329655 151.389853 \nL 72.983999 150.458293 \nL 70.789666 149.137534 \nL 69.787781 148.337377 \nL 68.871022 147.450831 \nL 68.055656 146.485499 \nL 67.357482 145.45113 \nL 66.791329 144.359641 \nL 66.370525 143.22505 \nL 66.106323 142.063305 \nL 66.007382 140.89196 \nL 66.079271 139.72977 \nL 66.32408 138.596165 \nL 66.740157 137.51064 \nL 67.322013 136.4921 \nL 68.060372 135.558201 \nL 68.94241 134.724704 \nL 69.952189 134.004968 \nL 71.071181 133.409494 \nL 72.278956 132.945687 \nL 73.55389 132.617714 \nL 74.873899 132.426578 \nL 76.217155 132.370314 \nL 77.562705 132.444293 \nL 78.891008 132.641632 \nL 80.184337 132.953652 \nL 82.605761 133.880759 \nL 84.728915 135.137263 \nL 86.490626 136.632403 \nL 87.8577 138.281266 \nL 88.819719 140.009128 \nL 89.381665 141.752686 \nL 89.557665 143.459207 \nL 89.366468 145.084643 \nL 88.828726 146.591358 \nL 87.965885 147.945931 \nL 86.800413 149.11726 \nL 85.357052 150.075159 \nL 83.664861 150.789535 \nL 81.759831 151.230289 \nL 79.687743 151.368076 \nL 77.507002 151.176194 \nL 75.290864 150.633706 \nL 73.128356 149.729879 \nL 71.123018 148.469735 \nL 70.214617 147.713388 \nL 69.388559 146.879984 \nL 68.659314 145.977099 \nL 68.040781 145.014192 \nL 67.545831 144.002589 \nL 67.185851 142.955384 \nL 66.97027 141.887257 \nL 66.906115 140.814181 \nL 66.997629 139.753047 \nL 67.245957 138.7212 \nL 67.648956 137.735909 \nL 68.201135 136.813812 \nL 68.893742 135.970353 \nL 69.714989 135.21929 \nL 70.650418 134.572222 \nL 71.683391 134.038264 \nL 72.795646 133.62383 \nL 73.967905 133.332548 \nL 75.180513 133.1653 \nL 76.414014 133.120401 \nL 77.649692 133.19384 \nL 80.059029 133.670225 \nL 82.288171 134.529749 \nL 84.246771 135.694147 \nL 85.874847 137.081956 \nL 87.138984 138.615799 \nL 88.026475 140.226446 \nL 88.539124 141.854185 \nL 88.687894 143.44842 \nL 88.488943 144.966213 \nL 87.961184 146.370457 \nL 87.125268 147.628025 \nL 86.003721 148.708208 \nL 84.622038 149.581563 \nL 83.010479 150.219314 \nL 81.206312 150.593447 \nL 79.256237 150.67761 \nL 77.218661 150.449036 \nL 75.165246 149.891558 \nL 73.181157 148.999681 \nL 71.363211 147.783432 \nL 69.815235 146.273268 \nL 69.174994 145.424069 \nL 68.640281 144.523942 \nL 68.222101 143.583757 \nL 67.929971 142.615835 \nL 67.77153 141.633789 \nL 67.75218 140.652216 \nL 67.874776 139.686367 \nL 68.139402 138.751719 \nL 68.543248 137.863523 \nL 69.080593 137.036326 \nL 69.742916 136.283524 \nL 70.51912 135.61693 \nL 71.395877 135.046415 \nL 72.358044 134.579651 \nL 73.389156 134.221938 \nL 74.471949 133.97617 \nL 75.588882 133.842862 \nL 77.856573 133.904878 \nL 80.063897 134.372325 \nL 82.10322 135.187399 \nL 83.892868 136.280242 \nL 85.377535 137.577656 \nL 86.52525 139.009397 \nL 87.322551 140.511786 \nL 87.769338 142.029089 \nL 87.874351 143.513325 \nL 87.651792 144.923212 \nL 87.119219 146.222654 \nL 86.296664 147.379263 \nL 85.206791 148.36308 \nL 83.875841 149.1457 \nL 82.335218 149.699895 \nL 80.623398 149.999891 \nL 78.787945 150.022451 \nL 76.887207 149.748807 \nL 74.991267 149.167555 \nL 73.181514 148.27837 \nL 71.548254 147.096191 \nL 70.185846 145.655149 \nL 69.185167 144.011249 \nL 68.845585 143.136821 \nL 68.623985 142.242526 \nL 68.526298 141.340994 \nL 68.556357 140.44558 \nL 68.715667 139.570028 \nL 69.003261 138.728103 \nL 69.415611 137.933214 \nL 69.946682 137.197988 \nL 70.588053 136.533911 \nL 71.329141 135.95098 \nL 72.157518 135.457427 \nL 73.059297 135.059504 \nL 75.022758 134.565216 \nL 77.095647 134.476862 \nL 79.158007 134.773364 \nL 81.104415 135.410624 \nL 82.850485 136.32996 \nL 84.33502 137.466157 \nL 85.518739 138.753882 \nL 86.38085 140.131852 \nL 86.914796 141.54499 \nL 87.124143 142.944969 \nL 87.019261 144.289726 \nL 86.615033 145.542388 \nL 85.929639 146.670081 \nL 84.984309 147.642825 \nL 83.803871 148.432677 \nL 82.417886 149.013363 \nL 80.862187 149.360416 \nL 79.180497 149.451991 \nL 77.425881 149.270449 \nL 75.661564 148.804719 \nL 73.960652 148.053382 \nL 72.40425 147.02815 \nL 71.077535 145.757246 \nL 70.063611 144.287825 \nL 69.435491 142.686464 \nL 69.283937 141.861897 \nL 69.247074 141.036749 \nL 69.327275 140.223185 \nL 69.524789 139.433552 \nL 69.837661 138.680029 \nL 70.2617 137.97431 \nL 70.790555 137.327257 \nL 71.415867 136.748602 \nL 72.127489 136.246666 \nL 73.761961 135.498015 \nL 75.589288 135.113528 \nL 77.498347 135.096852 \nL 79.382776 135.426201 \nL 81.149647 136.060371 \nL 82.724628 136.945917 \nL 84.053604 138.023895 \nL 85.101518 139.23517 \nL 85.849487 140.523971 \nL 86.291277 141.839693 \nL 86.429902 143.137429 \nL 86.274888 144.377635 \nL 85.840411 145.525294 \nL 85.144326 146.548998 \nL 84.20802 147.42008 \nL 83.056945 148.112052 \nL 81.721613 148.600436 \nL 80.238868 148.863107 \nL 78.653177 148.881254 \nL 77.017594 148.641015 \nL 75.394045 148.135738 \nL 73.852505 147.368773 \nL 72.468636 146.356451 \nL 71.319615 145.130656 \nL 70.478182 143.740294 \nL 70.005294 142.250837 \nL 69.942449 140.741254 \nL 70.305013 139.298174 \nL 71.078182 138.007833 \nL 72.216769 136.94708 \nL 73.649273 136.17526 \nL 75.285544 135.728594 \nL 77.026597 135.618147 \nL 78.774531 135.831479 \nL 80.440825 136.337061 \nL 81.951876 137.090175 \nL 83.251524 138.038904 \nL 84.300959 139.129212 \nL 85.07684 140.308623 \nL 85.568506 141.528411 \nL 85.775059 142.744557 \nL 85.702814 143.917829 \nL 85.363431 145.013299 \nL 84.772805 145.999663 \nL 83.95069 146.848547 \nL 82.920934 147.534028 \nL 81.712189 148.032462 \nL 80.358883 148.322749 \nL 78.902219 148.387133 \nL 77.390961 148.21255 \nL 75.881629 147.792541 \nL 74.437775 147.129577 \nL 73.127993 146.23756 \nL 72.022412 145.14404 \nL 71.187657 143.891505 \nL 70.680642 142.537119 \nL 70.541932 141.15037 \nL 70.789835 139.808341 \nL 71.416476 138.589056 \nL 72.386963 137.56383 \nL 73.642148 136.790016 \nL 75.104592 136.305621 \nL 76.686666 136.126733 \nL 78.299216 136.248094 \nL 79.859223 136.646231 \nL 81.295379 137.284225 \nL 82.551153 138.116871 \nL 83.58551 139.09538 \nL 84.371856 140.171011 \nL 84.895957 141.297462 \nL 85.1535 142.432152 \nL 85.147829 143.536633 \nL 84.888151 144.576417 \nL 84.388365 145.520544 \nL 83.666522 146.341045 \nL 82.744859 147.012573 \nL 81.650236 147.512251 \nL 80.414864 147.819904 \nL 79.077066 147.918724 \nL 77.68187 147.796394 \nL 76.281115 147.44673 \nL 74.93278 146.871609 \nL 73.699273 146.083099 \nL 72.644412 145.105307 \nL 71.829146 143.975515 \nL 71.306251 142.744029 \nL 71.114598 141.472276 \nL 71.27397 140.228959 \nL 71.78135 139.084507 \nL 72.609817 138.104558 \nL 73.710319 137.343576 \nL 75.016356 136.839848 \nL 76.450626 136.612654 \nL 77.932522 136.662106 \nL 79.385041 136.971317 \nL 80.740186 137.510126 \nL 81.942308 138.239536 \nL 82.949384 139.115891 \nL 83.732634 140.094367 \nL 84.275066 141.131445 \nL 84.569511 142.186385 \nL 84.616661 143.221904 \nL 84.423415 144.20427 \nL 84.00171 145.10308 \nL 83.367892 145.890905 \nL 82.542572 146.543016 \nL 81.55088 147.037286 \nL 80.422953 147.354383 \nL 79.194513 147.478355 \nL 77.907273 147.397594 \nL 76.608952 147.10621 \nL 75.352651 146.605687 \nL 74.195309 145.90664 \nL 73.195109 145.030406 \nL 72.407778 144.009987 \nL 71.882041 142.889938 \nL 71.654685 141.72481 \nL 71.745958 140.575978 \nL 72.156258 139.506942 \nL 72.864798 138.577817 \nL 73.830772 137.83974 \nL 74.997008 137.33024 \nL 76.295447 137.07044 \nL 77.653542 137.064403 \nL 79.000431 137.300511 \nL 80.272028 137.754387 \nL 81.414439 138.392595 \nL 82.385619 139.176365 \nL 83.15551 140.06479 \nL 83.705097 141.017318 \nL 84.024905 141.995314 \nL 84.113327 142.962957 \nL 83.975153 143.887525 \nL 83.62046 144.739365 \nL 83.063912 145.491726 \nL 82.324522 146.120547 \nL 81.425732 146.604445 \nL 80.395729 146.924892 \nL 79.267833 147.066728 \nL 78.080769 147.019 \nL 76.878589 146.776121 \nL 75.710059 146.33928 \nL 74.62727 145.717942 \nL 73.683347 144.931144 \nL 72.929262 144.008314 \nL 72.409882 142.989132 \nL 72.159709 141.922267 \nL 72.198857 140.862653 \nL 72.530038 139.86758 \nL 73.137216 138.991924 \nL 73.986327 138.283288 \nL 75.028119 137.777841 \nL 76.202694 137.49758 \nL 77.444939 137.449355 \nL 78.690023 137.625717 \nL 79.878061 138.007173 \nL 80.957504 138.565203 \nL 81.887008 139.26554 \nL 82.635965 140.071099 \nL 83.183993 140.94435 \nL 83.519808 141.848926 \nL 83.639874 142.750667 \nL 83.547111 143.618054 \nL 83.249852 144.422372 \nL 82.761154 145.137638 \nL 82.098465 145.74054 \nL 81.283591 146.210445 \nL 80.342866 146.529608 \nL 79.307378 146.683597 \nL 78.213118 146.662061 \nL 77.100831 146.459717 \nL 76.015401 146.07753 \nL 75.004586 145.524 \nL 74.116977 144.816246 \nL 73.399219 143.980643 \nL 72.892568 143.052723 \nL 72.629199 142.076059 \nL 72.628671 141.099955 \nL 72.89526 140.176124 \nL 73.416607 139.354567 \nL 74.164165 138.679362 \nL 75.095406 138.184939 \nL 76.157584 137.893453 \nL 77.292375 137.813688 \nL 78.440679 137.941463 \nL 79.546909 138.261327 \nL 80.562212 138.749075 \nL 81.446475 139.37455 \nL 82.169111 140.104273 \nL 82.708912 140.903695 \nL 83.053256 141.738809 \nL 83.19702 142.577224 \nL 83.141493 143.388797 \nL 82.893414 144.145872 \nL 82.464322 144.823337 \nL 81.870158 145.398685 \nL 81.131149 145.852045 \nL 80.271851 146.166423 \nL 79.32127 146.328089 \nL 78.312884 146.32725 \nL 77.284426 146.158896 \nL 76.277277 145.823838 \nL 75.335289 145.329757 \nL 74.502979 144.692102 \nL 73.823051 143.934646 \nL 73.333418 143.08933 \nL 73.063956 142.195288 \nL 73.033448 141.296881 \nL 73.247173 140.440821 \nL 73.695648 139.672645 \nL 74.354841 139.03301 \nL 75.187941 138.554393 \nL 76.148452 138.258645 \nL 77.184178 138.155805 \nL 78.241394 138.244223 \nL 79.268734 138.511799 \nL 80.220242 138.938054 \nL 81.05739 139.496525 \nL 81.750064 140.15711 \nL 82.276669 140.888142 \nL 82.623639 141.657959 \nL 82.784592 142.436047 \nL 82.759412 143.193709 \nL 82.553413 143.904439 \nL 82.176713 144.544094 \nL 81.643821 145.091007 \nL 80.973448 145.526097 \nL 80.188461 145.833103 \nL 79.315897 145.998964 \nL 78.386899 146.014403 \nL 77.436443 145.874673 \nL 76.502731 145.580443 \nL 75.626091 145.138684 \nL 74.847343 144.563409 \nL 74.205627 143.87611 \nL 73.73576 143.105598 \nL 73.46544 142.287134 \nL 73.412512 141.460707 \nL 73.582874 140.668577 \nL 73.969286 139.95218 \nL 74.55145 139.348937 \nL 75.297411 138.889296 \nL 76.166141 138.594469 \nL 77.110919 138.475254 \nL 78.083005 138.531917 \nL 79.035108 138.755144 \nL 79.924226 139.127651 \nL 80.713653 139.626268 \nL 81.37407 140.223995 \nL 81.883863 140.891909 \nL 82.228857 141.600664 \nL 82.401691 142.321627 \nL 82.401078 143.027611 \nL 82.231064 143.693337 \nL 81.900457 144.295681 \nL 81.422413 144.813868 \nL 80.814198 145.229611 \nL 80.097066 145.527361 \nL 79.296199 145.694711 \nL 78.00222 145.683145 \nL 76.697577 145.348615 \nL 75.882649 144.953096 \nL 75.155292 144.433504 \nL 74.5514 143.809334 \nL 74.102963 143.106642 \nL 73.835589 142.357273 \nL 73.766136 141.597368 \nL 73.900839 140.865172 \nL 74.234222 140.19842 \nL 74.749075 139.631482 \nL 75.417592 139.192763 \nL 76.203518 138.902646 \nL 77.06503 138.772312 \nL 77.957958 138.803483 \nL 78.838876 138.9891 \nL 80.05152 139.52371 \nL 81.036671 140.300504 \nL 81.716388 141.232702 \nL 81.976979 141.895499 \nL 82.076697 142.560566 \nL 82.015956 143.203025 \nL 81.800093 143.799803 \nL 81.438899 144.329911 \nL 80.946285 144.774646 \nL 80.000982 145.247024 \nL 78.876878 145.449234 \nL 77.667452 145.356705 \nL 76.48047 144.967052 \nL 75.431311 144.304794 \nL 74.864325 143.73755 \nL 74.438147 143.096415 \nL 74.176439 142.410211 \nL 74.095052 141.71164 \nL 74.200361 141.03539 \nL 74.48828 140.415813 \nL 74.944182 139.884451 \nL 75.5438 139.467718 \nL 76.255054 139.185041 \nL 77.040486 139.047703 \nL 78.2702 139.118107 \nL 79.445252 139.496675 \nL 80.45165 140.128706 \nL 81.203305 140.93967 \nL 81.64558 141.846367 \nL 81.754046 142.765499 \nL 81.641069 143.346398 \nL 81.386826 143.877088 \nL 80.765069 144.538142 \nL 79.902766 144.990073 \nL 78.870387 145.192638 \nL 77.754736 145.122512 \nL 76.655544 144.777196 \nL 75.679145 144.179023 \nL 74.928486 143.37771 \nL 74.597249 142.76734 \nL 74.42396 142.128194 \nL 74.419385 141.491067 \nL 74.585294 140.887625 \nL 74.913914 140.348249 \nL 75.388266 139.899897 \nL 75.98328 139.56419 \nL 76.667664 139.356021 \nL 77.784352 139.296995 \nL 78.900295 139.533571 \nL 79.902783 140.027211 \nL 80.700722 140.716426 \nL 81.230641 141.527107 \nL 81.457632 142.381399 \nL 81.373271 143.204119 \nL 80.992523 143.926895 \nL 80.350931 144.490803 \nL 79.502509 144.848553 \nL 78.517952 144.966907 \nL 77.48223 144.829836 \nL 76.49038 144.442047 \nL 75.640479 143.832097 \nL 75.023568 143.053604 \nL 74.711338 142.182887 \nL 74.693899 141.596265 \nL 74.832733 141.038223 \nL 75.121434 140.536534 \nL 75.545267 140.116026 \nL 76.384348 139.680013 \nL 77.379309 139.512906 \nL 78.419524 139.623108 \nL 79.396691 139.987242 \nL 80.217734 140.55706 \nL 80.812689 141.268463 \nL 81.137716 142.050207 \nL 81.174541 142.830825 \nL 80.928163 143.543447 \nL 80.424255 144.129031 \nL 79.70688 144.538761 \nL 78.836559 144.736344 \nL 77.888024 144.700749 \nL 76.9467 144.429263 \nL 76.10303 143.940416 \nL 75.444141 143.275547 \nL 75.043312 142.497726 \nL 74.948835 141.686791 \nL 75.174911 140.930225 \nL 75.697394 140.311202 \nL 76.45625 139.896295 \nL 77.364589 139.726019 \nL 78.322012 139.810518 \nL 79.228871 140.130851 \nL 79.998132 140.64472 \nL 80.56309 141.294312 \nL 80.880739 142.014207 \nL 80.931863 142.737887 \nL 80.719323 143.402524 \nL 80.26579 143.952301 \nL 79.611601 144.340954 \nL 78.812739 144.534078 \nL 77.938472 144.511694 \nL 77.067854 144.270991 \nL 76.284347 143.828813 \nL 75.668174 143.22289 \nL 75.286854 142.510688 \nL 75.185301 141.764853 \nL 75.377706 141.065099 \nL 75.843696 140.487604 \nL 76.530252 140.094054 \nL 77.359486 139.923099 \nL 78.240294 139.986084 \nL 79.08107 140.267815 \nL 79.800628 140.731223 \nL 80.335629 141.324198 \nL 80.644205 141.986755 \nL 80.706546 142.657094 \nL 80.523692 143.276311 \nL 80.115605 143.791767 \nL 79.51914 144.159679 \nL 78.786016 144.347464 \nL 77.980394 144.336134 \nL 77.175422 144.122798 \nL 76.448134 143.722743 \nL 75.872447 143.170414 \nL 75.510604 142.518202 \nL 75.404346 141.832276 \nL 75.567716 141.18533 \nL 75.98351 140.647149 \nL 76.604868 140.274849 \nL 77.361891 140.105116 \nL 78.171904 140.150135 \nL 78.950759 140.397824 \nL 79.622878 140.8157 \nL 80.128336 141.356856 \nL 80.426616 141.966325 \nL 80.497607 142.586803 \nL 80.340819 143.16317 \nL 79.973752 143.645873 \nL 79.43003 143.993537 \nL 78.757381 144.175351 \nL 78.01519 144.17327 \nL 77.271121 143.984305 \nL 76.59629 143.622331 \nL 76.058834 143.118775 \nL 75.716167 142.521434 \nL 75.607086 141.890629 \nL 75.745351 141.292696 \nL 76.116475 140.791591 \nL 76.67897 140.440166 \nL 77.370074 140.273132 \nL 78.114727 140.303156 \nL 78.835701 140.520775 \nL 79.462752 140.897565 \nL 79.939347 141.391294 \nL 80.226483 141.951666 \nL 80.303986 142.525615 \nL 80.170083 143.061651 \nL 79.840063 143.513203 \nL 79.34455 143.841251 \nL 78.727532 144.016646 \nL 78.04394 144.022271 \nL 77.356346 143.85505 \nL 76.730416 143.527531 \nL 76.228981 143.068391 \nL 75.905026 142.521258 \nL 75.79462 141.941163 \nL 75.911158 141.388676 \nL 76.242465 140.922442 \nL 76.751774 140.591337 \nL 77.382695 140.428091 \nL 78.067077 140.445624 \nL 78.734065 140.636688 \nL 79.485283 141.11639 \nL 79.879478 141.59366 \nL 80.09187 142.119348 \nL 80.10823 142.64432 \nL 79.931258 143.121653 \nL 79.579295 143.509702 \nL 79.084638 143.774554 \nL 78.49151 143.892216 \nL 77.640931 143.801187 \nL 76.851883 143.438214 \nL 76.384314 143.019557 \nL 76.078489 142.518387 \nL 75.967952 141.984933 \nL 76.065675 141.474559 \nL 76.361458 141.041028 \nL 76.822705 140.729542 \nL 77.398697 140.570917 \nL 78.237604 140.616924 \nL 79.018432 140.936364 \nL 79.610031 141.462665 \nL 79.922211 142.099591 \nL 79.946739 142.585492 \nL 79.791818 143.02956 \nL 79.473735 143.392716 \nL 79.021993 143.643018 \nL 78.283502 143.763597 \nL 77.500011 143.622323 \nL 76.802906 143.238085 \nL 76.315309 142.672372 \nL 76.143638 142.186814 \nL 76.161209 141.703364 \nL 76.366626 141.272493 \nL 76.737496 140.939153 \nL 77.233173 140.737048 \nL 77.994816 140.701161 \nL 78.743165 140.926958 \nL 79.349568 141.364971 \nL 79.718096 141.933014 \nL 79.797109 142.533513 \nL 79.661806 142.946375 \nL 79.249251 143.377454 \nL 78.635756 143.611362 \nL 77.92011 143.60957 \nL 77.220085 143.369348 \nL 76.655827 142.927391 \nL 76.329013 142.357651 \nL 76.278872 141.906606 \nL 76.404004 141.486811 \nL 76.690958 141.141943 \nL 77.269079 140.857807 \nL 77.967965 140.815347 \nL 78.659988 141.014535 \nL 79.225907 141.411873 \nL 79.575411 141.932843 \nL 79.658554 142.487645 \nL 79.468943 142.985952 \nL 79.041349 143.349035 \nL 78.445877 143.519373 \nL 77.779224 143.468297 \nL 77.152326 143.201609 \nL 76.673776 142.761608 \nL 76.430193 142.223187 \nL 76.467498 141.682259 \nL 76.778904 141.237352 \nL 77.304852 140.968694 \nL 77.946087 140.92119 \nL 78.585784 141.096739 \nL 79.113512 141.457108 \nL 79.444408 141.934786 \nL 79.530363 142.447152 \nL 79.363672 142.910294 \nL 78.975241 143.250572 \nL 78.429241 143.413873 \nL 77.814829 143.372921 \nL 77.234436 143.132463 \nL 76.788361 142.730948 \nL 76.556804 142.236779 \nL 76.582864 141.737724 \nL 76.861682 141.324234 \nL 77.340155 141.070565 \nL 77.928409 141.019274 \nL 78.519519 141.173799 \nL 79.011286 141.500567 \nL 79.324086 141.938417 \nL 79.411749 142.411409 \nL 79.265527 142.841657 \nL 78.912815 143.160339 \nL 78.412306 143.316586 \nL 77.846149 143.284467 \nL 77.30891 143.067768 \nL 76.893244 142.701404 \nL 76.673423 142.247872 \nL 76.689909 141.787493 \nL 76.939462 141.403332 \nL 77.374736 141.164123 \nL 77.914316 141.110092 \nL 78.460357 141.245922 \nL 78.918328 141.542154 \nL 79.213626 141.943398 \nL 79.302075 142.379883 \nL 79.174113 142.77939 \nL 78.853974 143.077643 \nL 78.395286 143.226883 \nL 77.8737 143.202454 \nL 77.266292 142.934898 \nL 76.918318 142.57398 \nL 76.761991 142.148396 \nL 76.825882 141.733786 \nL 77.097721 141.404715 \nL 77.526232 141.219397 \nL 78.032056 141.208059 \nL 78.635334 141.431627 \nL 79.059308 141.851623 \nL 79.197492 142.251861 \nL 79.135033 142.636678 \nL 78.885669 142.943519 \nL 78.492007 143.123128 \nL 77.897873 143.126454 \nL 77.335461 142.884979 \nL 76.955063 142.460567 \nL 76.854794 142.064832 \nL 76.957826 141.694961 \nL 77.244523 141.417148 \nL 77.661183 141.279918 \nL 78.247481 141.335896 \nL 78.756907 141.619611 \nL 79.058406 142.048332 \nL 79.081036 142.506816 \nL 78.896672 142.815516 \nL 78.46589 143.047478 \nL 77.91905 143.056056 \nL 77.398377 142.838228 \nL 77.042801 142.450126 \nL 76.949875 141.995962 \nL 77.084478 141.669285 \nL 77.37955 141.438755 \nL 77.888583 141.343835 \nL 78.418876 141.479421 \nL 78.828601 141.801812 \nL 79.014868 142.220529 \nL 78.936207 142.625213 \nL 78.617974 142.913069 \nL 78.143962 143.011799 \nL 77.637163 142.896066 \nL 77.231271 142.595261 \nL 77.036118 142.189111 \nL 77.105289 141.788373 \nL 77.417901 141.503311 \nL 77.884187 141.410309 \nL 78.373929 141.529738 \nL 78.756038 141.823147 \nL 78.934058 142.208174 \nL 78.867759 142.583081 \nL 78.578913 142.85226 \nL 78.143937 142.947923 \nL 77.676034 142.845668 \nL 77.298653 142.571733 \nL 77.113606 142.198866 \nL 77.171356 141.828568 \nL 77.454294 141.562453 \nL 77.881377 141.471749 \nL 78.333559 141.57678 \nL 78.74066 141.910443 \nL 78.866715 142.270724 \nL 78.766695 142.605365 \nL 78.470272 142.829089 \nL 78.055597 142.885432 \nL 77.555018 142.715245 \nL 77.229739 142.349532 \nL 77.186392 141.995492 \nL 77.36492 141.699579 \nL 77.713741 141.542089 \nL 78.2173 141.588587 \nL 78.629122 141.863498 \nL 78.798584 142.256242 \nL 78.711476 142.566524 \nL 78.441792 142.776123 \nL 77.979918 142.822768 \nL 77.532126 142.633591 \nL 77.26827 142.279907 \nL 77.265319 141.95696 \nL 77.462121 141.702358 \nL 77.802248 141.584649 \nL 78.264727 141.661639 \nL 78.618792 141.938399 \nL 78.735953 142.305127 \nL 78.623067 142.579824 \nL 78.282699 142.768167 \nL 77.842721 142.740631 \nL 77.468344 142.508059 \nL 77.302183 142.158931 \nL 77.371617 141.876183 \nL 77.610842 141.683332 \nL 78.024473 141.639544 \nL 78.42172 141.807682 \nL 78.653717 142.117782 \nL 78.639284 142.450507 \nL 78.389351 142.682843 \nL 77.999406 142.730546 \nL 77.615757 142.576857 \nL 77.38372 142.280204 \nL 77.39185 141.954759 \nL 77.634681 141.726573 \nL 78.014282 141.681937 \nL 78.382213 141.833105 \nL 78.600386 142.1172 \nL 78.592022 142.424791 \nL 78.365286 142.64186 \nL 78.007087 142.689532 \nL 77.603137 142.512788 \nL 77.418702 142.228199 \nL 77.460498 141.934751 \nL 77.70984 141.745794 \nL 78.066825 141.732032 \nL 78.434813 141.934346 \nL 78.577333 142.263322 \nL 78.46722 142.518801 \nL 78.186354 142.649903 \nL 77.786343 142.586007 \nL 77.502514 142.324806 \nL 77.464982 142.044706 \nL 77.63425 141.826413 \nL 77.99833 141.757542 \nL 78.356998 141.913281 \nL 78.529297 142.2077 \nL 78.46392 142.455989 \nL 78.228224 142.603184 \nL 77.859669 142.579051 \nL 77.569657 142.360909 \nL 77.506025 142.061457 \nL 77.658472 141.858377 \nL 77.992192 141.791181 \nL 78.324412 141.93135 \nL 78.487324 142.201593 \nL 78.404329 142.462943 \nL 78.122149 142.585377 \nL 77.784899 142.509483 \nL 77.549784 142.235292 \nL 77.592615 141.970592 \nL 77.845496 141.826144 \nL 78.173848 141.873391 \nL 78.426681 142.120093 \nL 78.419572 142.377846 \nL 78.204141 142.539127 \nL 77.848268 142.507794 \nL 77.600333 142.273206 \nL 77.603558 142.022692 \nL 77.811819 141.865293 \nL 78.155401 141.896426 \nL 78.391617 142.121727 \nL 78.388809 142.359869 \nL 78.192855 142.510862 \nL 77.865042 142.48524 \nL 77.633786 142.271011 \nL 77.650078 142.01116 \nL 77.859915 141.883625 \nL 78.175683 141.935752 \nL 78.371728 142.15576 \nL 78.324989 142.396181 \nL 78.071598 142.501681 \nL 77.749917 142.382177 \nL 77.638436 142.143604 \nL 77.769536 141.943896 \nL 78.051613 141.914014 \nL 78.314449 142.096696 \nL 78.333798 142.328807 \nL 78.139294 142.469535 \nL 77.829373 142.412128 \nL 77.667935 142.179814 \nL 77.759264 141.981892 \nL 78.009232 141.928686 \nL 78.270369 142.0756 \nL 78.309253 142.315424 \nL 78.13227 142.447246 \nL 77.846351 142.397134 \nL 77.694632 142.184204 \nL 77.775785 142.00065 \nL 78.036617 141.954723 \nL 78.277694 142.130085 \nL 78.26089 142.345602 \nL 78.037249 142.434859 \nL 77.77255 142.307104 \nL 77.731877 142.093618 \nL 77.914311 141.96838 \nL 78.187469 142.048962 \nL 78.27264 142.270896 \nL 78.118979 142.407828 \nL 77.852203 142.355091 \nL 77.741363 142.146492 \nL 77.868717 141.998992 \nL 78.127016 142.02802 \nL 78.2569 142.220672 \nL 78.157215 142.374091 \nL 77.911706 142.369692 \nL 77.761006 142.173279 \nL 77.876726 142.0154 \nL 78.114685 142.039674 \nL 78.236329 142.235888 \nL 78.106748 142.374441 \nL 77.860776 142.320294 \nL 77.788635 142.122023 \nL 77.947851 142.01631 \nL 78.172655 142.105833 \nL 78.194311 142.296778 \nL 78.016332 142.367353 \nL 77.81108 142.233735 \nL 77.858289 142.061886 \nL 78.074275 142.051417 \nL 78.201538 142.225809 \nL 78.076983 142.350729 \nL 77.857449 142.278084 \nL 77.843497 142.095568 \nL 78.02901 142.049374 \nL 78.185868 142.206147 \nL 78.090277 142.333773 \nL 77.883001 142.285568 \nL 77.854949 142.104778 \nL 78.042456 142.065208 \nL 78.171835 142.217845 \nL 78.05347 142.329256 \nL 77.862718 142.243472 \nL 77.897842 142.08606 \nL 78.096599 142.104389 \nL 78.137041 142.273931 \nL 77.957877 142.306538 \nL 77.85867 142.1537 \nL 78.002876 142.077396 \nL 78.14654 142.211594 \nL 78.035153 142.310023 \nL 77.870041 142.204458 \nL 77.946633 142.089554 \nL 77.959775 142.086987 \nL 78.128499 142.17534 \nL 78.071725 142.293311 \nL 78.059763 142.296973 \nL 77.88954 142.226375 \nL 77.92741 142.106411 \nL 77.949704 142.098234 \nL 78.118218 142.175687 \nL 78.067668 142.285174 \nL 78.045217 142.291141 \nL 77.890883 142.20548 \nL 77.952644 142.106212 \nL 77.975146 142.102378 \nL 78.115429 142.204684 \nL 78.021083 142.285303 \nL 78.0097 142.284781 \nL 77.896876 142.178344 \nL 77.900573 142.160936 \nL 78.030404 142.116721 \nL 78.103138 142.228304 \nL 78.083794 142.256508 \nL 77.927387 142.238023 \nL 77.926752 142.137281 \nL 77.967464 142.118045 \nL 78.097368 142.193255 \nL 78.09856 142.209393 \nL 78.001422 142.270414 \nL 77.982285 142.265846 \nL 77.915596 142.167856 \nL 77.938315 142.137488 \nL 78.080862 142.170495 \nL 78.060611 142.255154 \nL 78.011597 142.265585 \nL 77.920707 142.177598 \nL 77.93712 142.147254 \nL 78.069871 142.165301 \nL 78.074335 142.171674 \nL 78.056911 142.250047 \nL 77.995516 142.257967 \nL 77.928454 142.173487 \nL 77.965592 142.137468 \nL 78.076513 142.191467 \nL 78.074272 142.222143 \nL 77.975228 142.245834 \nL 77.951027 142.228635 \nL 77.946127 142.155541 \nL 78.024282 142.144191 \nL 78.069002 142.219439 \nL 77.941173 142.172874 \nL 78.003811 142.195527 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p6c7363f20c\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(results_test_np[:,0], results_test_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(results_test_np[:,0], results_test_np[:,1], results_test_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import scipy.io\n",
-    "\n",
-    "scipy.io.savemat(\"Lorenz63_fit.mat\", {\"x\": results_test_np})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Mean Squared Error Loss"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs={\"sigma\": 10., \"rho\": 28., \"beta\": 2.7},\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result_train = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs={\"sigma\": 22.4191, \"rho\": 18.8036, \"beta\": 3.4880},\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result_test = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor(198.8555, grad_fn=<MseLossBackward>)"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "loss = torch.nn.MSELoss()\n",
-    "loss(result_train,result_test)"
-   ]
-  }
- ],
- "metadata": {
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  },
-  "kernelspec": {
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
deleted file mode 100644
index 2ac0bcac..00000000
--- a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample.ipynb
+++ /dev/null
@@ -1,411 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Lorenz 63 equations\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"sigma\"]*(prev_val[\"y\"]-prev_val[\"x\"])\n",
-    "\n",
-    "def y_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x\"]*(coeffs[\"rho\"]-prev_val[\"z\"])-prev_val[\"y\"]\n",
-    "\n",
-    "def z_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x\"]*prev_val[\"y\"]-coeffs[\"beta\"]*prev_val[\"z\"]\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
-    "\n",
-    "# Initial conditions [1,0,0]\n",
-    "ode_init = {\"x\":1, \"y\":0, \"z\":0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"sigma\": 10., \"rho\": 28., \"beta\": 2.7}\n"
-   ]
-  },
-  {
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 9.1793e-01,  2.6634e-01,  1.2636e-03],\n",
-       "        [ 8.6792e-01,  5.1173e-01,  4.6540e-03],\n",
-       "        ...,\n",
-       "        [-5.6997e+00, -5.8341e+00,  2.3410e+01],\n",
-       "        [-5.7226e+00, -6.0452e+00,  2.3121e+01],\n",
-       "        [-5.7641e+00, -6.2715e+00,  2.2854e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 5
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stderr",
-     "text": [
-      "<ipython-input-6-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:34.405351</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m969da113b9\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#m969da113b9\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#m969da113b9\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#m969da113b9\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#m969da113b9\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#m969da113b9\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#m969da113b9\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#m969da113b9\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m83042323df\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m83042323df\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m83042323df\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m83042323df\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m83042323df\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m83042323df\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m83042323df\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p766c151f5c)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p766c151f5c\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:15:35.339856</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#pe49726afd4)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe49726afd4\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,0], result_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stderr",
-     "text": [
-      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:25: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n  self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_train_coeffs = {\"sigma\": 20*torch.rand(()), \"rho\": 20*torch.rand(()), \"beta\": 20*torch.rand(())} # Start with arbitrary values\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(1.0166, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(7.4447, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(25.9663, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(9.6339, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(0.1197, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(8.0665, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.9027, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(4.7454, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(0.0019, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(8.5213, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.6596, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.3149, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(0.0140, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(8.7199, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.8255, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.0957, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.3548, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9116, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.5468, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(0.0006, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.4170, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9516, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6025, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(8.0349e-05, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.4587, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9846, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6392, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(3.9863e-05, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.4761, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.0087, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6611, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(9.9995e-05, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.5049, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.0287, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6747, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.5182, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.0124, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6850, requires_grad=True)}\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,\n",
-    "    torch.optim.Adam,\n",
-    "    {\"lr\": 0.5},\n",
-    "    max_epochs=10,\n",
-    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    scheduler_params={\"milestones\": [5],\"gamma\": 0.2}\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'sigma': Parameter containing:\n",
-       " tensor(9.5182, requires_grad=True),\n",
-       " 'rho': Parameter containing:\n",
-       " tensor(28.0124, requires_grad=True),\n",
-       " 'beta': Parameter containing:\n",
-       " tensor(2.6850, requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 17
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs\n",
-    "\n",
-    "# The parameters are much closer"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt = 10000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "results_test = ode_solver_train(10000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 9.0482e-01,  2.8012e-01,  0.0000e+00],\n",
-       "        [ 8.4536e-01,  5.3078e-01,  2.5346e-03],\n",
-       "        ...,\n",
-       "        [-9.5352e-01, -3.5295e+00,  2.2755e+01],\n",
-       "        [-1.1987e+00, -3.5444e+00,  2.2178e+01],\n",
-       "        [-1.4220e+00, -3.5789e+00,  2.1625e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 19
-    }
-   ],
-   "source": [
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stderr",
-     "text": [
-      "<ipython-input-20-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:46:13.325426</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mb38ed199d8\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.406494\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(25.85415 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"76.575344\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −15 -->\n      <g transform=\"translate(66.023 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"116.744194\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −10 -->\n      <g transform=\"translate(106.191851 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"156.913045\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −5 -->\n      <g transform=\"translate(149.541951 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"197.081895\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0 -->\n      <g transform=\"translate(193.900645 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"237.250745\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5 -->\n      <g transform=\"translate(234.069495 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"277.419595\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(271.057095 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.588446\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 15 -->\n      <g transform=\"translate(311.225946 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"357.757296\" xlink:href=\"#mb38ed199d8\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(351.394796 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"ma6045cee36\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#ma6045cee36\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#ma6045cee36\" y=\"216.500274\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.299493)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#ma6045cee36\" y=\"171.784549\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.583768)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#ma6045cee36\" y=\"127.068823\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 130.868042)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#ma6045cee36\" y=\"82.353098\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 86.152317)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#ma6045cee36\" y=\"37.637372\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 41.436591)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p95860c3296)\" d=\"M 205.115665 261.216 \nL 203.592116 261.157948 \nL 203.724131 261.123887 \nL 207.457636 260.682409 \nL 211.206001 260.143035 \nL 216.557976 259.112729 \nL 221.264131 257.943287 \nL 227.111728 256.140973 \nL 230.537931 254.903542 \nL 234.343413 253.370828 \nL 238.563859 251.47486 \nL 243.236198 249.133452 \nL 248.397623 246.248011 \nL 254.084123 242.701454 \nL 260.328389 238.356581 \nL 267.156805 233.055418 \nL 274.585378 226.620349 \nL 282.614245 218.858194 \nL 291.220574 209.56882 \nL 300.349608 198.560235 \nL 309.903899 185.672396 \nL 319.731096 170.811646 \nL 329.611213 153.996511 \nL 339.245338 135.412868 \nL 348.248898 115.471603 \nL 356.153692 94.854956 \nL 362.424007 74.53049 \nL 366.491689 55.707118 \nL 367.812273 39.712816 \nL 365.938858 27.793325 \nL 360.602324 20.865598 \nL 351.778674 19.296 \nL 339.721506 22.788188 \nL 324.943804 30.436859 \nL 308.148626 40.937712 \nL 271.647675 64.986505 \nL 253.378559 76.318819 \nL 235.83361 86.27705 \nL 219.365837 94.578792 \nL 204.183504 101.171557 \nL 190.380601 106.147287 \nL 177.970175 109.674392 \nL 166.914003 111.952157 \nL 157.145854 113.184354 \nL 148.587996 113.566327 \nL 141.161867 113.280133 \nL 134.794112 112.49379 \nL 129.419277 111.362097 \nL 124.980146 110.027452 \nL 121.426558 108.620107 \nL 118.713317 107.257624 \nL 116.797703 106.043593 \nL 115.636909 105.065983 \nL 115.185817 104.395479 \nL 115.395216 104.084193 \nL 116.210732 104.165063 \nL 117.572406 104.652265 \nL 119.415097 105.542575 \nL 121.669454 106.817654 \nL 124.263427 108.447005 \nL 127.124084 110.391378 \nL 133.360937 115.044564 \nL 139.850048 120.409687 \nL 146.153189 126.155981 \nL 149.129433 129.088642 \nL 151.947347 132.026711 \nL 154.584612 134.950485 \nL 157.025195 137.844409 \nL 159.258624 140.696464 \nL 161.279164 143.497525 \nL 163.085019 146.240786 \nL 164.677536 148.92119 \nL 166.060484 151.534992 \nL 167.239388 154.079394 \nL 168.22095 156.552206 \nL 169.01255 158.951627 \nL 169.621831 161.276036 \nL 170.056351 163.52384 \nL 170.323308 165.693357 \nL 170.429322 167.782703 \nL 170.380278 169.789711 \nL 170.181201 171.711841 \nL 169.83618 173.546097 \nL 169.348314 175.288967 \nL 168.719693 176.936314 \nL 167.951393 178.483285 \nL 167.043498 179.924225 \nL 165.995126 181.252542 \nL 164.804485 182.460602 \nL 163.468938 183.539596 \nL 161.985078 184.479381 \nL 160.348836 185.268333 \nL 158.5556 185.893216 \nL 156.600371 186.338985 \nL 154.477951 186.588667 \nL 152.18316 186.623226 \nL 149.711121 186.421485 \nL 147.057603 185.960074 \nL 144.219417 185.213501 \nL 141.194923 184.154346 \nL 137.984613 182.753577 \nL 134.591792 180.981146 \nL 131.023402 178.806853 \nL 127.290916 176.201545 \nL 123.411365 173.138776 \nL 119.408431 169.596925 \nL 115.313582 165.561842 \nL 111.16717 161.030022 \nL 107.019425 156.012193 \nL 102.93118 150.537185 \nL 98.974185 144.6557 \nL 95.230796 138.44362 \nL 91.79286 132.004195 \nL 88.759556 125.468351 \nL 86.234094 118.992533 \nL 84.319191 112.753323 \nL 83.111478 106.93873 \nL 82.695062 101.736372 \nL 83.134884 97.319469 \nL 84.470531 93.83233 \nL 86.711281 91.377387 \nL 89.83326 90.005931 \nL 93.779237 89.714312 \nL 98.461257 90.446258 \nL 103.765957 92.100974 \nL 109.561934 94.545546 \nL 115.708208 97.629271 \nL 122.062778 101.197792 \nL 128.490285 105.104942 \nL 134.868185 109.22122 \nL 141.090974 113.438633 \nL 147.072504 117.672234 \nL 152.746551 121.859096 \nL 158.066023 125.955647 \nL 163.00122 129.934295 \nL 167.537516 133.779807 \nL 171.672799 137.486009 \nL 175.414934 141.052953 \nL 178.779374 144.484679 \nL 181.787054 147.78751 \nL 184.462575 150.968847 \nL 186.832719 154.036349 \nL 188.925251 156.997437 \nL 190.767998 159.859002 \nL 192.388152 162.627262 \nL 193.811781 165.307733 \nL 196.166222 170.42401 \nL 198.007708 175.239449 \nL 199.484588 179.778032 \nL 201.276834 186.1059 \nL 203.873877 195.475155 \nL 204.973304 198.833862 \nL 206.190729 201.97525 \nL 207.577924 204.897293 \nL 209.188069 207.592584 \nL 211.078575 210.046423 \nL 212.14871 211.175566 \nL 213.313703 212.234102 \nL 214.583056 213.216749 \nL 215.966994 214.11702 \nL 217.476527 214.927026 \nL 219.123506 215.637211 \nL 220.920669 216.236068 \nL 222.881669 216.709781 \nL 225.021081 217.041839 \nL 227.354386 217.212578 \nL 229.897904 217.198681 \nL 232.668675 216.972606 \nL 235.684274 216.501997 \nL 238.962511 215.749032 \nL 242.52103 214.669817 \nL 246.376722 213.213837 \nL 250.544947 211.323537 \nL 255.038487 208.93418 \nL 259.866191 205.974158 \nL 265.031248 202.365948 \nL 270.529005 198.028052 \nL 276.344351 192.878262 \nL 282.448547 186.838665 \nL 288.795624 179.842852 \nL 295.318442 171.845633 \nL 301.924641 162.835408 \nL 308.492946 152.848878 \nL 314.870447 141.987092 \nL 320.871717 130.43075 \nL 326.280853 118.451651 \nL 330.857617 106.415912 \nL 334.34861 94.774256 \nL 336.503894 84.035498 \nL 337.098542 74.721894 \nL 335.957055 67.31007 \nL 332.977337 62.166526 \nL 328.149578 59.491709 \nL 321.565766 59.287324 \nL 313.416398 61.357156 \nL 303.974158 65.342465 \nL 293.567046 70.782846 \nL 282.546141 77.186254 \nL 271.254076 84.091601 \nL 238.570655 104.428571 \nL 219.613858 115.872391 \nL 203.64978 125.20985 \nL 168.364344 145.620006 \nL 157.334823 152.03862 \nL 153.015401 154.270594 \nL 149.12235 155.898657 \nL 147.271522 156.48673 \nL 145.457432 156.922034 \nL 143.663885 157.201925 \nL 141.877737 157.323239 \nL 140.08873 157.282506 \nL 138.289361 157.07621 \nL 136.474784 156.701026 \nL 134.642719 156.15413 \nL 132.793423 155.433477 \nL 130.929624 154.538127 \nL 129.056516 153.46861 \nL 127.181738 152.227321 \nL 125.315326 150.818884 \nL 123.46967 149.250557 \nL 121.65941 147.532617 \nL 119.90131 145.678667 \nL 118.214072 143.705927 \nL 116.618038 141.635379 \nL 115.134852 139.49179 \nL 113.786985 137.303569 \nL 112.597223 135.102427 \nL 111.587999 132.922811 \nL 110.780696 130.801107 \nL 110.19489 128.774678 \nL 109.847551 126.880686 \nL 109.752272 125.154814 \nL 109.918567 123.629966 \nL 110.351286 122.334997 \nL 111.050154 121.293591 \nL 112.00954 120.523385 \nL 113.218418 120.035381 \nL 114.660584 119.833742 \nL 116.315091 119.915918 \nL 118.156886 120.273123 \nL 120.157606 120.891115 \nL 122.286481 121.751164 \nL 124.511341 122.831163 \nL 126.799539 124.106746 \nL 129.118881 125.552369 \nL 131.438446 127.142274 \nL 135.964705 130.655451 \nL 140.177934 134.461757 \nL 143.925257 138.405854 \nL 147.102021 142.363666 \nL 148.455661 144.316627 \nL 149.646327 146.238611 \nL 150.671507 148.120775 \nL 151.530184 149.955159 \nL 152.222548 151.73449 \nL 152.749712 153.451978 \nL 153.113462 155.101176 \nL 153.31605 156.675806 \nL 153.36 158.169634 \nL 153.247965 159.576365 \nL 152.982598 160.889509 \nL 152.566477 162.102328 \nL 152.002055 163.207718 \nL 151.291621 164.198164 \nL 150.437326 165.065668 \nL 149.441199 165.801707 \nL 148.305225 166.397191 \nL 147.031423 166.842474 \nL 145.621976 167.127363 \nL 144.079362 167.241138 \nL 142.406544 167.17266 \nL 140.607167 166.910483 \nL 138.685791 166.443068 \nL 136.648158 165.759003 \nL 134.501474 164.847355 \nL 132.254728 163.69811 \nL 129.919005 162.302671 \nL 127.507854 160.654522 \nL 125.037585 158.749945 \nL 122.527599 156.588889 \nL 120.000643 154.175864 \nL 117.48301 151.520902 \nL 115.00462 148.640531 \nL 112.598954 145.558632 \nL 110.302842 142.30712 \nL 108.155977 138.926361 \nL 106.200208 135.465184 \nL 104.478578 131.98034 \nL 103.034037 128.535401 \nL 101.90795 125.198976 \nL 101.138388 122.042262 \nL 100.758296 119.136082 \nL 100.793662 116.547552 \nL 101.26187 114.336584 \nL 102.170283 112.552742 \nL 103.515315 111.232459 \nL 105.282034 110.397297 \nL 107.444398 110.053107 \nL 109.966138 110.190421 \nL 112.802201 110.785871 \nL 115.900667 111.80454 \nL 119.205008 113.202827 \nL 122.656414 114.931591 \nL 126.196096 116.939247 \nL 129.76739 119.174454 \nL 133.317465 121.588356 \nL 136.798666 124.136145 \nL 140.169418 126.778032 \nL 143.39468 129.479707 \nL 146.446065 132.212316 \nL 149.301613 134.95214 \nL 151.945363 137.680092 \nL 154.366727 140.38105 \nL 156.55981 143.04321 \nL 158.522647 145.657447 \nL 160.256467 148.216716 \nL 161.764998 150.715549 \nL 163.053806 153.149639 \nL 164.129716 155.515473 \nL 165.000316 157.81004 \nL 165.673515 160.030611 \nL 166.157208 162.17455 \nL 166.458967 164.239154 \nL 166.585838 166.221548 \nL 166.544153 168.118552 \nL 166.339416 169.926608 \nL 165.976218 171.641657 \nL 165.458186 173.259076 \nL 164.787971 174.773569 \nL 163.967248 176.179072 \nL 162.996757 177.468642 \nL 161.87634 178.634357 \nL 160.605028 179.667175 \nL 159.181123 180.556844 \nL 157.602313 181.291758 \nL 155.865823 181.858841 \nL 153.968577 182.243441 \nL 151.907403 182.429225 \nL 149.679283 182.39812 \nL 147.281643 182.130314 \nL 144.712705 181.604298 \nL 141.971909 180.797008 \nL 139.06039 179.684147 \nL 135.981549 178.240588 \nL 132.741715 176.441095 \nL 129.350867 174.261224 \nL 125.823459 171.678595 \nL 122.179287 168.674505 \nL 118.444403 165.235938 \nL 114.652011 161.357939 \nL 110.843253 157.046359 \nL 107.067869 152.320823 \nL 103.384524 147.217698 \nL 99.860732 141.792847 \nL 96.572159 136.123628 \nL 93.601243 130.309794 \nL 91.034906 124.472676 \nL 88.96137 118.752199 \nL 87.466102 113.301438 \nL 86.626965 108.278714 \nL 86.50903 103.837624 \nL 87.159377 100.115959 \nL 88.602532 97.224833 \nL 90.837122 95.239471 \nL 93.834271 94.19322 \nL 97.538126 94.075795 \nL 101.868523 94.836022 \nL 106.725595 96.388665 \nL 111.99581 98.624076 \nL 117.558714 101.419167 \nL 123.293629 104.647933 \nL 129.085645 108.190441 \nL 134.830428 111.93921 \nL 140.437559 115.803137 \nL 145.832421 119.708829 \nL 150.956752 123.600158 \nL 155.768118 127.436502 \nL 160.238635 131.190304 \nL 164.353182 134.844455 \nL 168.107399 138.389752 \nL 171.505637 141.822681 \nL 174.55901 145.14361 \nL 177.28363 148.355361 \nL 179.699063 151.462173 \nL 181.827026 154.46895 \nL 183.690338 157.380766 \nL 185.31207 160.202561 \nL 186.714899 162.938965 \nL 187.920634 165.594217 \nL 188.949872 168.172138 \nL 190.553948 173.109309 \nL 191.66137 177.773728 \nL 192.380681 182.184174 \nL 192.796177 186.356196 \nL 192.97066 190.303044 \nL 192.948588 194.036223 \nL 192.759091 197.565836 \nL 192.418549 200.900679 \nL 191.932628 204.048182 \nL 191.297732 207.014204 \nL 190.501901 209.802668 \nL 189.525173 212.415003 \nL 188.339491 214.84929 \nL 186.908149 217.099038 \nL 185.184849 219.151382 \nL 183.112379 220.984483 \nL 181.923943 221.808646 \nL 180.62097 222.563782 \nL 179.192468 223.242704 \nL 177.626426 223.836636 \nL 175.909749 224.334917 \nL 174.028215 224.724642 \nL 171.96644 224.990239 \nL 169.707865 225.112978 \nL 167.234775 225.07041 \nL 164.528361 224.835735 \nL 161.568857 224.377071 \nL 158.33575 223.656677 \nL 154.808108 222.630132 \nL 150.96508 221.245508 \nL 146.786581 219.442608 \nL 142.254243 217.152377 \nL 137.352704 214.296676 \nL 132.071294 210.788599 \nL 126.406231 206.533702 \nL 120.363366 201.432538 \nL 113.961608 195.385039 \nL 107.236976 188.297328 \nL 100.247298 180.091596 \nL 93.077335 170.719484 \nL 85.843965 160.179141 \nL 78.70081 148.535336 \nL 71.841318 135.940821 \nL 65.49903 122.655674 \nL 59.94345 109.059445 \nL 55.470011 95.649486 \nL 52.382784 83.018877 \nL 50.970062 71.80931 \nL 51.47418 62.640184 \nL 54.059403 56.022976 \nL 58.783683 52.278607 \nL 65.580657 51.479607 \nL 74.257679 53.435852 \nL 84.511819 57.730434 \nL 95.961767 63.796492 \nL 108.18896 71.01263 \nL 145.616904 94.202243 \nL 157.314811 101.233647 \nL 168.288703 107.610018 \nL 178.440113 113.287502 \nL 187.724914 118.278473 \nL 196.140816 122.628867 \nL 210.497276 129.663009 \nL 221.927399 134.9115 \nL 230.96041 138.820254 \nL 238.114591 141.716173 \nL 243.843066 143.821323 \nL 248.516852 145.28066 \nL 252.425801 146.187524 \nL 255.78691 146.603314 \nL 258.754761 146.571748 \nL 261.431751 146.12922 \nL 263.877326 145.312447 \nL 266.116031 144.164165 \nL 268.144769 142.737255 \nL 269.939552 141.097286 \nL 271.46215 139.323123 \nL 272.666959 137.505506 \nL 273.508027 135.743182 \nL 273.946094 134.136995 \nL 273.955165 132.782401 \nL 273.795689 132.225834 \nL 273.527878 131.761489 \nL 273.154306 131.396361 \nL 272.679003 131.135822 \nL 272.10744 130.983548 \nL 271.446474 130.941458 \nL 269.889836 131.186901 \nL 268.08618 131.854369 \nL 266.124366 132.903715 \nL 264.098387 134.278105 \nL 262.1009 135.910279 \nL 260.217748 137.728212 \nL 258.523956 139.659629 \nL 257.081437 141.635038 \nL 255.938173 143.589364 \nL 255.128641 145.462452 \nL 254.674955 147.198891 \nL 254.588379 148.747389 \nL 254.870782 150.060183 \nL 255.148661 150.614098 \nL 255.515797 151.092549 \nL 255.970218 151.49042 \nL 256.509491 151.802789 \nL 257.130709 152.025008 \nL 258.604874 152.18182 \nL 260.359081 151.930466 \nL 262.350163 151.248738 \nL 264.524034 150.126043 \nL 266.81437 148.567652 \nL 269.141811 146.599424 \nL 271.414165 144.272362 \nL 273.528238 141.665964 \nL 275.373718 138.889141 \nL 276.839497 136.07747 \nL 277.822258 133.385621 \nL 278.104849 132.135266 \nL 278.23669 130.975138 \nL 278.211636 129.923898 \nL 278.025927 128.998569 \nL 277.678351 128.214052 \nL 277.17041 127.582704 \nL 276.506356 127.113984 \nL 275.693161 126.814246 \nL 274.74041 126.686629 \nL 273.660071 126.731107 \nL 272.466218 126.944618 \nL 271.174671 127.32132 \nL 269.802609 127.85294 \nL 266.889921 129.338094 \nL 263.876652 131.300957 \nL 260.906771 133.630092 \nL 258.109597 136.212942 \nL 255.593305 138.94353 \nL 253.442081 141.72651 \nL 251.716455 144.478138 \nL 250.455785 147.125279 \nL 249.681902 149.603242 \nL 249.403016 151.853331 \nL 249.44892 152.875624 \nL 249.617242 153.820459 \nL 249.906613 154.681198 \nL 250.31531 155.451217 \nL 250.841286 156.12387 \nL 251.482175 156.692488 \nL 252.235264 157.150402 \nL 253.097478 157.490917 \nL 254.065326 157.707404 \nL 255.134824 157.793324 \nL 256.301421 157.742347 \nL 257.559896 157.548435 \nL 258.904262 157.206036 \nL 260.327623 156.710211 \nL 261.822064 156.056902 \nL 263.378518 155.243139 \nL 264.986634 154.267353 \nL 266.634675 153.12969 \nL 268.309409 151.832342 \nL 269.996041 150.379896 \nL 271.678176 148.779696 \nL 273.33784 147.042157 \nL 274.955548 145.181051 \nL 276.51047 143.213711 \nL 277.980624 141.161141 \nL 279.343247 139.047974 \nL 280.575171 136.902252 \nL 281.65335 134.755064 \nL 282.555465 132.639901 \nL 283.26057 130.591903 \nL 283.749816 128.646822 \nL 284.007169 126.839926 \nL 284.02011 125.204759 \nL 283.780271 123.771895 \nL 283.283945 122.567801 \nL 282.532442 121.613807 \nL 281.532266 120.925366 \nL 280.295078 120.511547 \nL 278.837436 120.37494 \nL 277.180339 120.511828 \nL 275.348565 120.912718 \nL 273.369896 121.563085 \nL 271.274226 122.444337 \nL 269.092639 123.534844 \nL 266.856509 124.810999 \nL 264.596636 126.248203 \nL 262.342516 127.821776 \nL 257.959372 131.282927 \nL 253.896928 135.018238 \nL 250.299515 138.879145 \nL 247.265702 142.746355 \nL 245.979698 144.652195 \nL 244.853723 146.526145 \nL 243.89015 148.359489 \nL 243.089938 150.144338 \nL 242.452918 151.873408 \nL 241.97806 153.539877 \nL 241.663685 155.13721 \nL 241.50768 156.65903 \nL 241.507672 158.098989 \nL 241.661153 159.45065 \nL 241.965594 160.707401 \nL 242.418525 161.862352 \nL 243.017563 162.90827 \nL 243.760443 163.837514 \nL 244.644998 164.641989 \nL 245.669108 165.313098 \nL 246.830653 165.841733 \nL 248.12739 166.218256 \nL 249.556857 166.432561 \nL 251.116196 166.474113 \nL 252.801985 166.332048 \nL 254.610039 165.995338 \nL 256.535154 165.452988 \nL 258.570864 164.694339 \nL 260.709151 163.70941 \nL 262.940144 162.489359 \nL 265.251794 161.027028 \nL 267.629572 159.3176 \nL 270.056154 157.359333 \nL 272.511161 155.154396 \nL 274.970948 152.709747 \nL 277.408455 150.038043 \nL 279.793205 147.15849 \nL 282.09144 144.097572 \nL 284.266438 140.889591 \nL 286.279064 137.576876 \nL 288.088565 134.209559 \nL 289.653608 130.844843 \nL 290.933578 127.545671 \nL 291.890083 124.378808 \nL 292.488622 121.412321 \nL 292.70032 118.712651 \nL 292.503578 116.341392 \nL 291.885547 114.352175 \nL 290.843286 112.78778 \nL 289.384448 111.677955 \nL 287.527407 111.038035 \nL 285.300823 110.868601 \nL 282.742615 111.156194 \nL 279.898407 111.874937 \nL 276.819623 112.98889 \nL 273.561328 114.454862 \nL 270.180027 116.225315 \nL 266.731548 118.251163 \nL 263.269202 120.484144 \nL 259.842249 122.878703 \nL 256.494766 125.393331 \nL 253.264934 127.991346 \nL 250.184683 130.641165 \nL 247.279692 133.316256 \nL 244.569627 135.994783 \nL 242.068624 138.659084 \nL 239.785869 141.295087 \nL 237.726281 143.891694 \nL 235.891206 146.440225 \nL 234.279113 148.933838 \nL 232.886253 151.367119 \nL 231.707244 153.735656 \nL 230.735615 156.035742 \nL 229.964268 158.264099 \nL 229.38586 160.417676 \nL 228.993132 162.493452 \nL 228.779166 164.488324 \nL 228.737589 166.398957 \nL 228.862722 168.221683 \nL 229.149691 169.952416 \nL 229.594497 171.586552 \nL 230.194051 173.118845 \nL 230.946183 174.543341 \nL 231.849616 175.853278 \nL 232.90394 177.040963 \nL 234.109539 178.097653 \nL 235.467508 179.013481 \nL 236.979544 179.777299 \nL 238.647815 180.376587 \nL 240.474792 180.797349 \nL 242.463062 181.024037 \nL 244.615079 181.039483 \nL 246.932893 180.824906 \nL 249.417818 180.359973 \nL 252.070038 179.622918 \nL 254.888147 178.590842 \nL 257.868609 177.240137 \nL 261.005161 175.547084 \nL 264.288118 173.488758 \nL 267.703621 171.044151 \nL 271.23283 168.19567 \nL 274.851067 164.930972 \nL 278.527011 161.245136 \nL 282.221932 157.143178 \nL 285.889111 152.642727 \nL 289.473499 147.776798 \nL 292.911772 142.596282 \nL 296.132931 137.1719 \nL 299.059509 131.595109 \nL 301.609612 125.977557 \nL 303.699757 120.448612 \nL 305.248535 115.150697 \nL 306.180982 110.232349 \nL 306.433355 105.839447 \nL 305.957953 102.105108 \nL 304.727454 99.139679 \nL 302.738234 97.021932 \nL 300.012183 95.792873 \nL 296.596657 95.453238 \nL 292.562442 95.96502 \nL 287.999859 97.256816 \nL 283.013514 99.232063 \nL 277.716161 101.778777 \nL 272.222464 104.779413 \nL 266.643233 108.119481 \nL 261.080658 111.694194 \nL 255.624779 115.41272 \nL 250.351327 119.200202 \nL 245.32082 122.997885 \nL 240.57873 126.761904 \nL 236.15645 130.461318 \nL 232.072783 134.075724 \nL 228.335749 137.59297 \nL 224.944472 141.006974 \nL 221.891037 144.315979 \nL 219.162201 147.521086 \nL 216.740923 150.625151 \nL 214.607658 153.632005 \nL 212.741445 156.545895 \nL 211.120783 159.37111 \nL 209.724312 162.111787 \nL 208.531333 164.771772 \nL 207.522186 167.354572 \nL 206.678513 169.863341 \nL 205.421565 174.669764 \nL 204.64415 179.210173 \nL 204.254897 183.499843 \nL 204.185834 187.551028 \nL 204.3899 191.373509 \nL 204.838271 194.974742 \nL 205.517953 198.359739 \nL 206.429871 201.530594 \nL 207.587552 204.485704 \nL 209.016409 207.218555 \nL 210.753599 209.715951 \nL 211.752727 210.869794 \nL 212.848404 211.95546 \nL 214.048815 212.968116 \nL 215.363015 213.901816 \nL 216.800969 214.749311 \nL 218.373587 215.501815 \nL 220.092751 216.14872 \nL 221.971337 216.677269 \nL 224.023217 217.072202 \nL 226.263242 217.315308 \nL 228.707193 217.384951 \nL 231.371674 217.255521 \nL 234.273957 216.896857 \nL 237.431731 216.273612 \nL 240.862745 215.344624 \nL 244.58431 214.062316 \nL 248.612596 212.372206 \nL 252.961722 210.212629 \nL 257.642546 207.514792 \nL 262.661093 204.203424 \nL 268.01659 200.198218 \nL 273.699038 195.416442 \nL 279.68628 189.777143 \nL 285.940567 183.207295 \nL 292.404728 175.650411 \nL 298.998124 167.077751 \nL 305.612698 157.502123 \nL 312.109674 146.993611 \nL 318.31773 135.695617 \nL 324.033568 123.838625 \nL 329.026081 111.747755 \nL 333.045172 99.839471 \nL 335.836017 88.602901 \nL 337.15864 78.563032 \nL 336.811477 70.227021 \nL 334.656223 64.02022 \nL 330.639675 60.224218 \nL 324.808056 58.931722 \nL 317.309694 60.031636 \nL 308.38432 63.229698 \nL 298.340254 68.10008 \nL 287.523668 74.153907 \nL 276.285847 80.907475 \nL 232.930568 107.787248 \nL 214.749733 118.644249 \nL 193.12517 131.13241 \nL 169.690732 144.6437 \nL 158.178055 151.335536 \nL 153.729439 153.681959 \nL 149.762251 155.421665 \nL 147.890905 156.066343 \nL 146.065368 156.559498 \nL 144.268098 156.898912 \nL 142.484689 157.081737 \nL 140.703696 157.104747 \nL 138.91649 156.964567 \nL 137.117132 156.65793 \nL 135.302295 156.181935 \nL 133.471184 155.534356 \nL 131.625504 154.713932 \nL 129.769413 153.720739 \nL 127.909498 152.556535 \nL 126.054755 151.225139 \nL 124.216515 149.732829 \nL 122.408385 148.088698 \nL 120.646117 146.305026 \nL 118.947441 144.397523 \nL 117.331816 142.385551 \nL 115.820106 140.292196 \nL 114.434168 138.144172 \nL 113.196352 135.971567 \nL 112.128915 133.807355 \nL 111.253325 131.686725 \nL 110.589554 129.64619 \nL 110.155295 127.722483 \nL 109.965218 125.951374 \nL 110.030227 124.36639 \nL 110.356848 122.997544 \nL 110.94673 121.870192 \nL 111.796341 121.004062 \nL 112.896838 120.412587 \nL 114.2342 120.102529 \nL 115.789567 120.074008 \nL 117.539775 120.320816 \nL 119.458102 120.831054 \nL 121.515096 121.588041 \nL 123.679528 122.571323 \nL 125.919344 123.757771 \nL 128.202577 125.122668 \nL 130.498169 126.640692 \nL 135.010989 130.036786 \nL 139.251447 133.759474 \nL 143.058539 137.648944 \nL 146.31899 141.575993 \nL 147.720917 143.521014 \nL 148.962985 145.439313 \nL 150.041911 147.321622 \nL 150.956024 149.159614 \nL 151.704961 150.945725 \nL 152.289391 152.672936 \nL 152.71076 154.334637 \nL 152.971059 155.924432 \nL 153.072633 157.436042 \nL 153.018021 158.863157 \nL 152.809825 160.199346 \nL 152.450615 161.437931 \nL 151.942865 162.571943 \nL 151.288921 163.594015 \nL 150.490996 164.496342 \nL 149.551185 165.270616 \nL 148.471532 165.908011 \nL 147.254096 166.399136 \nL 145.901065 166.734081 \nL 144.414887 166.902415 \nL 142.798443 166.893289 \nL 141.055222 166.695522 \nL 139.189553 166.297788 \nL 137.206857 165.688828 \nL 135.113911 164.857786 \nL 132.919154 163.794571 \nL 130.633005 162.490365 \nL 128.268183 160.938209 \nL 125.840038 159.133692 \nL 123.366866 157.075749 \nL 120.870165 154.767536 \nL 118.374851 152.217351 \nL 115.909371 149.43959 \nL 113.505705 146.455585 \nL 111.199157 143.294368 \nL 109.027982 139.993132 \nL 107.032771 136.597363 \nL 105.255571 133.160493 \nL 103.738728 129.742993 \nL 102.523483 126.410831 \nL 101.64836 123.233281 \nL 101.147421 120.28021 \nL 101.048464 117.618894 \nL 101.371347 115.310664 \nL 102.12652 113.407707 \nL 103.313976 111.95023 \nL 104.922675 110.964397 \nL 106.930573 110.461212 \nL 109.305263 110.436496 \nL 112.005234 110.871962 \nL 114.981582 111.737162 \nL 118.180108 112.992148 \nL 121.543612 114.590505 \nL 125.014118 116.482323 \nL 128.535029 118.617034 \nL 132.052945 120.945708 \nL 135.51908 123.422826 \nL 138.890314 126.00746 \nL 142.129796 128.663872 \nL 145.207162 131.361665 \nL 148.09845 134.075588 \nL 150.785737 136.785092 \nL 153.256607 139.473743 \nL 155.503483 142.128585 \nL 157.522931 144.739521 \nL 159.314918 147.298688 \nL 160.882114 149.799977 \nL 162.229234 152.238554 \nL 163.362446 154.610494 \nL 164.288844 156.912473 \nL 165.016005 159.14153 \nL 165.551614 161.294859 \nL 165.903157 163.369638 \nL 166.077674 165.362907 \nL 166.081578 167.271449 \nL 165.92051 169.091693 \nL 165.599252 170.819604 \nL 165.121656 172.450592 \nL 164.490628 173.979448 \nL 163.708122 175.4002 \nL 162.775161 176.706035 \nL 161.691887 177.889191 \nL 160.457634 178.940832 \nL 159.071003 179.850946 \nL 157.52998 180.608213 \nL 155.832073 181.199885 \nL 153.974476 181.611692 \nL 151.954269 181.827736 \nL 149.768656 181.83044 \nL 147.415246 181.600536 \nL 144.892404 181.117113 \nL 142.199642 180.357755 \nL 139.338092 179.298831 \nL 136.311055 177.915886 \nL 133.124634 176.184326 \nL 129.788436 174.080276 \nL 126.31636 171.581776 \nL 122.727444 168.670326 \nL 119.046743 165.332774 \nL 115.306189 161.563629 \nL 111.545393 157.367632 \nL 107.812255 152.762626 \nL 104.163356 147.782444 \nL 100.663867 142.479539 \nL 97.387001 136.927063 \nL 94.412698 131.219839 \nL 91.825529 125.473775 \nL 89.711724 119.823243 \nL 88.155301 114.416124 \nL 87.233503 109.406484 \nL 87.011777 104.945214 \nL 87.538726 101.169425 \nL 88.841597 98.191851 \nL 90.92284 96.091707 \nL 93.758298 94.908364 \nL 97.297383 94.638989 \nL 101.465362 95.24046 \nL 106.167509 96.63537 \nL 111.294774 98.720878 \nL 116.73022 101.379166 \nL 122.355558 104.487744 \nL 128.057083 107.928349 \nL 133.73059 111.593724 \nL 139.284852 115.391722 \nL 144.643731 119.247196 \nL 149.746966 123.101818 \nL 154.549855 126.912652 \nL 159.022138 130.649942 \nL 163.146377 134.294591 \nL 166.916035 137.835709 \nL 170.333498 141.268391 \nL 173.40815 144.591904 \nL 176.154617 147.808226 \nL 178.591222 150.920949 \nL 180.738665 153.934506 \nL 182.618935 156.853624 \nL 184.254447 159.683001 \nL 185.667365 162.427072 \nL 186.879094 165.089949 \nL 187.909919 167.675359 \nL 188.77876 170.186635 \nL 190.098501 174.998441 \nL 190.958338 179.545698 \nL 191.453124 183.844903 \nL 191.654454 187.909692 \nL 191.613461 191.751537 \nL 191.363752 195.380097 \nL 190.924059 198.803295 \nL 190.300389 202.027178 \nL 189.487592 205.055563 \nL 188.470324 207.889413 \nL 187.223448 210.525919 \nL 185.71189 212.957135 \nL 183.89004 215.168022 \nL 182.845373 216.183526 \nL 181.700714 217.133605 \nL 180.446885 218.01293 \nL 179.073798 218.814948 \nL 177.570412 219.531674 \nL 175.924681 220.153406 \nL 174.123515 220.668425 \nL 172.152755 221.062607 \nL 169.997152 221.31901 \nL 167.6404 221.417368 \nL 165.065175 221.333543 \nL 162.253264 221.038884 \nL 159.185736 220.499558 \nL 155.843236 219.675812 \nL 152.206401 218.521253 \nL 148.256455 216.982163 \nL 143.976007 214.99695 \nL 139.350159 212.49587 \nL 134.367928 209.401203 \nL 129.024107 205.628134 \nL 123.321617 201.086672 \nL 117.274385 195.685063 \nL 110.910828 189.335152 \nL 104.277905 181.960258 \nL 97.445574 173.50596 \nL 90.511435 163.954111 \nL 83.605107 153.33967 \nL 76.891523 141.76935 \nL 70.572204 129.43969 \nL 64.883252 116.650785 \nL 60.088576 103.810536 \nL 56.467306 91.423562 \nL 54.294706 80.059981 \nL 53.817388 70.302535 \nL 55.225085 62.676534 \nL 58.623219 57.574185 \nL 64.011699 55.190645 \nL 71.275302 55.489701 \nL 80.189283 58.210761 \nL 90.440258 62.916843 \nL 101.658726 69.070236 \nL 113.456701 76.115372 \nL 159.780406 104.668231 \nL 169.990122 110.679602 \nL 179.409891 116.07055 \nL 195.797952 125.083436 \nL 209.077641 132.074208 \nL 224.110155 139.727843 \nL 234.791513 144.985903 \nL 240.257609 147.510791 \nL 244.828807 149.385722 \nL 248.787016 150.670823 \nL 250.60514 151.102485 \nL 252.344764 151.396526 \nL 254.023022 151.554216 \nL 255.653786 151.576391 \nL 257.247878 151.463742 \nL 258.813292 151.217036 \nL 260.355388 150.837392 \nL 261.877051 150.326488 \nL 263.378863 149.686799 \nL 264.859237 148.921813 \nL 266.314566 148.036262 \nL 269.126404 145.929756 \nL 271.750877 143.43697 \nL 274.102835 140.657436 \nL 276.083029 137.721252 \nL 277.587745 134.785162 \nL 278.13099 133.371164 \nL 278.520399 132.022941 \nL 278.747106 130.76242 \nL 278.804261 129.61054 \nL 278.687383 128.586609 \nL 278.394626 127.707771 \nL 277.92697 126.988473 \nL 277.288337 126.440043 \nL 276.4856 126.070437 \nL 275.52849 125.884056 \nL 274.42938 125.88177 \nL 273.203018 126.061029 \nL 271.866153 126.416145 \nL 270.437112 126.938665 \nL 267.380884 128.44091 \nL 264.19467 130.462273 \nL 261.034804 132.883024 \nL 258.042114 135.582098 \nL 255.334401 138.445982 \nL 253.003141 141.373339 \nL 251.113794 144.276115 \nL 249.708591 147.078336 \nL 248.81069 149.71358 \nL 248.555103 150.949742 \nL 248.428644 152.122135 \nL 248.43077 153.223883 \nL 248.560485 154.248206 \nL 248.816417 155.188366 \nL 249.196869 156.037618 \nL 249.699849 156.789163 \nL 250.323086 157.436127 \nL 251.06402 157.971577 \nL 251.919771 158.388492 \nL 252.887102 158.679829 \nL 253.962335 158.838551 \nL 255.141283 158.857716 \nL 256.419134 158.730567 \nL 257.790342 158.450685 \nL 259.248498 158.012174 \nL 260.786177 157.409841 \nL 262.394807 156.639473 \nL 264.064515 155.698127 \nL 265.783985 154.584464 \nL 267.540314 153.299107 \nL 269.318932 151.845041 \nL 271.10351 150.228023 \nL 272.875937 148.456948 \nL 274.616346 146.54426 \nL 276.303231 144.506198 \nL 277.913631 142.363052 \nL 279.423418 140.139197 \nL 280.807701 137.863001 \nL 282.041318 135.566524 \nL 283.099469 133.284972 \nL 283.958403 131.055915 \nL 284.596209 128.918287 \nL 284.993608 126.911168 \nL 285.134804 125.072433 \nL 285.008211 123.437342 \nL 284.607126 122.037153 \nL 283.930232 120.897852 \nL 282.981894 120.039177 \nL 281.772265 119.473893 \nL 280.317059 119.207477 \nL 278.637177 119.238232 \nL 276.758009 119.557715 \nL 274.708645 120.151536 \nL 272.520883 121.000386 \nL 270.228188 122.08123 \nL 267.864676 123.368515 \nL 265.464105 124.835349 \nL 263.058999 126.454567 \nL 260.679907 128.199595 \nL 256.108732 131.967717 \nL 251.937573 135.960173 \nL 248.301726 140.031197 \nL 246.713235 142.059621 \nL 245.287499 144.067414 \nL 244.028963 146.044478 \nL 242.940146 147.981899 \nL 242.02198 149.871713 \nL 241.274127 151.706695 \nL 240.695274 153.480158 \nL 240.283402 155.185774 \nL 240.03602 156.817402 \nL 239.950371 158.368978 \nL 240.023582 159.834362 \nL 240.252805 161.207243 \nL 240.635303 162.481043 \nL 241.16852 163.648813 \nL 241.850099 164.703175 \nL 242.677901 165.636231 \nL 243.649963 166.439546 \nL 244.764442 167.104071 \nL 246.019535 167.620134 \nL 247.413371 167.977433 \nL 248.943856 168.165077 \nL 250.608515 168.171618 \nL 252.404283 167.985186 \nL 254.327272 167.593635 \nL 256.372509 166.984769 \nL 258.533644 166.146656 \nL 260.80263 165.068022 \nL 263.169379 163.738758 \nL 265.621398 162.150542 \nL 268.143428 160.297573 \nL 270.717105 158.177412 \nL 273.320632 155.791962 \nL 275.928518 153.148462 \nL 278.511427 150.26056 \nL 281.036154 147.149313 \nL 283.465755 143.844044 \nL 285.759921 140.382986 \nL 287.875596 136.81351 \nL 289.767888 133.191854 \nL 291.391289 129.582241 \nL 292.701178 126.055255 \nL 293.65556 122.68555 \nL 294.217026 119.54881 \nL 294.354704 116.718282 \nL 294.046202 114.260985 \nL 293.27923 112.23407 \nL 292.052846 110.681632 \nL 290.378135 109.632276 \nL 288.278236 109.097859 \nL 285.787633 109.073449 \nL 282.950819 109.538527 \nL 279.82035 110.459199 \nL 276.454548 111.791218 \nL 272.914965 113.483444 \nL 269.26386 115.481207 \nL 265.561852 117.729462 \nL 261.865926 120.17534 \nL 258.227877 122.770062 \nL 254.693202 125.470176 \nL 251.300484 128.238146 \nL 248.081191 131.042431 \nL 245.059827 133.857181 \nL 242.254368 136.661696 \nL 239.676887 139.439713 \nL 237.334299 142.178692 \nL 235.229148 144.869075 \nL 233.360422 147.503661 \nL 231.724314 150.077019 \nL 230.314936 152.585021 \nL 229.124952 155.024433 \nL 228.14613 157.392604 \nL 227.369823 159.687223 \nL 226.787346 161.906105 \nL 226.3903 164.047059 \nL 226.170826 166.107731 \nL 226.121786 168.085519 \nL 226.236911 169.977457 \nL 226.51089 171.780148 \nL 226.939434 173.489662 \nL 227.519302 175.101452 \nL 228.248302 176.610256 \nL 229.12527 178.009994 \nL 230.150032 179.293671 \nL 231.323348 180.453261 \nL 232.646824 181.479555 \nL 234.122824 182.362043 \nL 235.75435 183.088803 \nL 237.544901 183.646326 \nL 239.498295 184.019411 \nL 241.618466 184.191046 \nL 243.909208 184.142338 \nL 246.373884 183.852451 \nL 249.015048 183.298673 \nL 251.834034 182.456543 \nL 254.830428 181.300116 \nL 258.00148 179.802425 \nL 261.341409 177.936151 \nL 264.840619 175.674633 \nL 268.484829 172.993138 \nL 272.254099 169.870624 \nL 276.121858 166.291869 \nL 280.053922 162.250082 \nL 284.007545 157.749904 \nL 287.930729 152.81066 \nL 291.761774 147.469725 \nL 295.42932 141.785606 \nL 298.853021 135.840283 \nL 301.945029 129.740297 \nL 304.61243 123.615945 \nL 306.760705 117.618058 \nL 308.298211 111.911935 \nL 309.14147 106.668519 \nL 309.220959 102.053269 \nL 308.486817 98.213667 \nL 306.913891 95.267104 \nL 304.505352 93.290782 \nL 301.294337 92.315304 \nL 297.343211 92.323202 \nL 292.740405 93.252573 \nL 287.595097 95.005303 \nL 282.0304 97.458233 \nL 276.175865 100.475586 \nL 270.160137 103.920609 \nL 264.104516 107.665166 \nL 258.117948 111.596368 \nL 252.293653 115.620193 \nL 246.707385 119.662483 \nL 241.417139 123.667911 \nL 236.463983 127.597689 \nL 231.873643 131.426655 \nL 227.658567 135.140295 \nL 223.82018 138.731963 \nL 220.351107 142.200492 \nL 217.237266 145.548321 \nL 214.459726 148.78002 \nL 211.9963 151.901289 \nL 209.822877 154.918215 \nL 207.914484 157.836812 \nL 206.246119 160.662778 \nL 204.793377 163.40134 \nL 203.53291 166.057206 \nL 201.502415 171.13715 \nL 199.997974 175.930823 \nL 198.889534 180.460639 \nL 198.072492 184.74485 \nL 197.21885 190.743858 \nL 196.480838 198.01218 \nL 195.082407 213.050117 \nL 194.530423 216.808426 \nL 193.826543 220.260656 \nL 192.910372 223.423051 \nL 192.144665 225.375266 \nL 191.222665 227.203349 \nL 190.110078 228.90478 \nL 188.765232 230.473013 \nL 187.13741 231.895747 \nL 185.164888 233.152342 \nL 182.772666 234.210041 \nL 179.869915 235.018401 \nL 178.193706 235.30655 \nL 176.347249 235.501181 \nL 174.313542 235.586821 \nL 172.074131 235.544669 \nL 169.60908 235.351947 \nL 166.896987 234.981141 \nL 163.915054 234.399123 \nL 160.639245 233.566183 \nL 157.044564 232.43493 \nL 153.10549 230.949158 \nL 148.796617 229.042683 \nL 144.093609 226.638303 \nL 138.974488 223.647005 \nL 133.421429 219.967724 \nL 127.423139 215.48799 \nL 120.977933 210.086001 \nL 114.097686 203.634806 \nL 106.812692 196.009436 \nL 99.177463 187.097933 \nL 91.277334 176.817183 \nL 83.235558 165.134112 \nL 75.220091 152.092019 \nL 67.448999 137.840255 \nL 60.192728 122.663307 \nL 53.771081 107.002355 \nL 48.542514 91.459656 \nL 44.883549 76.775129 \nL 43.157727 63.766675 \nL 43.675605 53.233616 \nL 46.650773 45.835557 \nL 52.160261 41.973012 \nL 60.119177 41.704456 \nL 70.278106 44.729655 \nL 82.246675 50.449169 \nL 95.539413 58.082965 \nL 109.633425 66.810603 \nL 124.024829 75.892752 \nL 138.272858 84.747589 \nL 152.025832 92.976784 \nL 165.029253 100.352105 \nL 177.120036 106.780366 \nL 188.21251 112.262607 \nL 198.281226 116.857524 \nL 207.344068 120.653416 \nL 215.447643 123.749225 \nL 222.655671 126.242915 \nL 229.040341 128.22531 \nL 234.676241 129.777449 \nL 239.63633 130.970063 \nL 243.989479 131.864151 \nL 247.799083 132.512071 \nL 254.010852 133.243001 \nL 258.658271 133.453911 \nL 262.041645 133.36539 \nL 265.238639 133.032671 \nL 266.898586 132.875067 \nL 266.642038 133.147555 \nL 264.058845 135.354744 \nL 262.313862 137.126305 \nL 260.625663 139.173195 \nL 259.206355 141.336093 \nL 258.490015 142.762492 \nL 257.998209 144.122459 \nL 257.754233 145.372353 \nL 257.771866 146.471338 \nL 258.0561 147.381631 \nL 258.603786 148.068808 \nL 259.404047 148.502372 \nL 260.438448 148.656506 \nL 261.680945 148.511319 \nL 263.097628 148.05448 \nL 264.646467 147.283174 \nL 266.277177 146.206415 \nL 267.931439 144.847266 \nL 269.543762 143.244807 \nL 271.043198 141.455199 \nL 272.356174 139.551338 \nL 273.410449 137.620646 \nL 274.140001 135.760572 \nL 274.490642 134.07204 \nL 274.425503 132.651304 \nL 274.231404 132.068042 \nL 273.929691 131.581369 \nL 273.522431 131.198338 \nL 273.013294 130.924323 \nL 272.40753 130.762923 \nL 271.711879 130.715955 \nL 270.084464 130.963658 \nL 268.208988 131.64768 \nL 266.175998 132.725326 \nL 264.081546 134.13697 \nL 262.020369 135.812581 \nL 260.080076 137.677644 \nL 258.337039 139.657804 \nL 256.85401 141.681912 \nL 255.679391 143.683633 \nL 254.847705 145.601848 \nL 254.380892 147.380377 \nL 254.289899 148.967288 \nL 254.576251 150.314173 \nL 254.85914 150.883294 \nL 255.233264 151.375588 \nL 255.696622 151.785825 \nL 256.246752 152.108983 \nL 256.880726 152.34026 \nL 257.595128 152.475144 \nL 259.248896 152.439408 \nL 261.169594 151.973784 \nL 263.308384 151.059995 \nL 265.604535 149.69352 \nL 267.984136 147.888355 \nL 270.359622 145.682036 \nL 272.63059 143.14003 \nL 274.68658 140.358457 \nL 276.41221 137.463442 \nL 277.694961 134.606082 \nL 278.138284 133.243138 \nL 278.435072 131.952152 \nL 278.576681 130.753687 \nL 278.556623 129.66718 \nL 278.370852 128.710379 \nL 278.017997 127.898825 \nL 277.499506 127.245396 \nL 276.8197 126.759951 \nL 275.985735 126.449075 \nL 275.007501 126.315999 \nL 273.897382 126.360631 \nL 272.669947 126.579703 \nL 271.341602 126.967049 \nL 269.930159 127.513978 \nL 266.933608 129.041691 \nL 263.834061 131.05936 \nL 260.780259 133.451216 \nL 257.905377 136.100976 \nL 255.3203 138.899785 \nL 253.110821 141.750314 \nL 251.338122 144.567588 \nL 250.041518 147.277775 \nL 249.242375 149.815849 \nL 249.032152 151.001777 \nL 248.948273 152.122928 \nL 248.990144 153.172479 \nL 249.156726 154.14371 \nL 249.446607 155.029926 \nL 249.858031 155.824431 \nL 250.388938 156.520504 \nL 251.036967 157.111366 \nL 251.799438 157.590209 \nL 252.673316 157.950186 \nL 253.65517 158.184457 \nL 254.741094 158.286266 \nL 255.926627 158.249012 \nL 257.206643 158.066366 \nL 258.575246 157.732419 \nL 260.025637 157.241883 \nL 261.549977 156.590279 \nL 263.139261 155.774221 \nL 264.783173 154.791707 \nL 266.469958 153.642436 \nL 268.186318 152.328166 \nL 269.917326 150.853093 \nL 271.646373 149.224228 \nL 273.355185 147.451746 \nL 275.023874 145.549301 \nL 276.631079 143.534259 \nL 278.154205 141.427838 \nL 279.569724 139.255089 \nL 280.853609 137.044727 \nL 281.981856 134.828727 \nL 282.931105 132.641735 \nL 283.679322 130.520235 \nL 284.206555 128.501516 \nL 284.495696 126.622509 \nL 284.533246 124.918462 \nL 284.309971 123.421641 \nL 283.821468 122.160062 \nL 283.068585 121.156421 \nL 282.057606 120.427248 \nL 280.80023 119.982357 \nL 279.313336 119.824727 \nL 277.618491 119.950656 \nL 275.741276 120.350335 \nL 273.710469 121.008617 \nL 271.557092 121.906056 \nL 269.313462 123.020009 \nL 267.012193 124.325758 \nL 264.685326 125.79759 \nL 262.363517 127.409722 \nL 257.84703 130.955906 \nL 253.659426 134.781546 \nL 249.949476 138.733669 \nL 246.817931 142.690551 \nL 245.488781 144.640314 \nL 244.32339 146.557548 \nL 243.323981 148.43357 \nL 242.491329 150.260552 \nL 241.825058 152.031303 \nL 241.323905 153.739119 \nL 240.985974 155.377587 \nL 240.808945 156.940448 \nL 240.790247 158.421474 \nL 240.92721 159.814337 \nL 241.217175 161.11253 \nL 241.657571 162.309255 \nL 242.245971 163.397348 \nL 242.980101 164.369211 \nL 243.857833 165.216765 \nL 244.877148 165.931397 \nL 246.036065 166.503921 \nL 247.332549 166.924598 \nL 248.764387 167.183125 \nL 250.329039 167.268703 \nL 252.023456 167.170127 \nL 253.843867 166.875907 \nL 255.78555 166.374471 \nL 257.84256 165.654457 \nL 260.007425 164.705017 \nL 262.270857 163.5163 \nL 264.62139 162.079974 \nL 267.045069 160.389889 \nL 269.525098 158.442838 \nL 272.04155 156.239402 \nL 274.571112 153.784893 \nL 277.086898 151.090306 \nL 279.558377 148.173287 \nL 281.951486 145.058969 \nL 284.228858 141.780625 \nL 286.350347 138.38002 \nL 288.273784 134.907346 \nL 289.955996 131.420625 \nL 291.354108 127.984464 \nL 292.427099 124.668149 \nL 293.137529 121.543162 \nL 293.453386 118.680079 \nL 293.349893 116.145195 \nL 292.811153 113.997102 \nL 291.831487 112.283469 \nL 290.416282 111.03853 \nL 288.582302 110.281356 \nL 286.357335 110.01529 \nL 283.779229 110.228477 \nL 280.894361 110.895467 \nL 277.75561 111.979637 \nL 274.420133 113.436211 \nL 270.946968 115.215346 \nL 267.394767 117.265237 \nL 263.81978 119.534738 \nL 260.274145 121.975464 \nL 256.804639 124.543304 \nL 253.451858 127.199298 \nL 250.249791 129.909987 \nL 247.225796 132.647355 \nL 244.400838 135.388459 \nL 241.789967 138.114892 \nL 239.402954 140.812115 \nL 237.244999 143.468808 \nL 235.317482 146.076231 \nL 233.618702 148.627636 \nL 232.144572 151.117786 \nL 230.889265 153.542538 \nL 229.845778 155.898487 \nL 229.006423 158.1827 \nL 228.363247 160.392482 \nL 227.908372 162.525214 \nL 227.634278 164.578184 \nL 227.534011 166.548485 \nL 227.601347 168.432899 \nL 227.830915 170.227795 \nL 228.218268 171.929053 \nL 228.759926 173.531965 \nL 229.453389 175.031123 \nL 230.297134 176.420353 \nL 231.290568 177.692567 \nL 232.433985 178.839689 \nL 233.728485 179.852506 \nL 235.175877 180.720581 \nL 236.778565 181.432092 \nL 238.539399 181.973725 \nL 240.461503 182.33058 \nL 242.548064 182.486053 \nL 244.802076 182.421813 \nL 247.226041 182.11776 \nL 249.821611 181.55211 \nL 252.589161 180.701579 \nL 255.527282 179.541664 \nL 258.63221 178.047137 \nL 261.897155 176.192744 \nL 265.311563 173.954194 \nL 268.860263 171.309458 \nL 272.522622 168.240463 \nL 276.271597 164.735132 \nL 280.072869 160.789832 \nL 283.884048 156.412188 \nL 287.65406 151.624024 \nL 291.322871 146.464396 \nL 294.821641 140.99221 \nL 298.073492 135.288151 \nL 300.995044 129.45534 \nL 303.498809 123.618265 \nL 305.496518 117.919417 \nL 306.903333 112.513492 \nL 307.642746 107.559118 \nL 307.651833 103.208621 \nL 306.886431 99.596876 \nL 305.325541 96.83051 \nL 302.97448 94.979051 \nL 299.866191 94.069534 \nL 296.060399 94.08533 \nL 291.640644 94.969601 \nL 286.709393 96.632624 \nL 281.381846 98.961801 \nL 275.779124 101.832679 \nL 270.021639 105.119339 \nL 264.223209 108.703076 \nL 258.486467 112.478455 \nL 252.899724 116.356778 \nL 247.535286 120.267187 \nL 242.449095 124.155915 \nL 237.681362 127.984429 \nL 233.257971 131.726888 \nL 229.192305 135.367537 \nL 225.487272 138.898173 \nL 222.137354 142.316007 \nL 219.130536 145.62189 \nL 216.450052 148.818963 \nL 214.075883 151.911626 \nL 211.986029 154.904859 \nL 210.15753 157.803772 \nL 208.567285 160.613277 \nL 207.192666 163.33797 \nL 206.011982 165.98205 \nL 205.004791 168.549293 \nL 203.436549 173.466395 \nL 202.355289 178.112221 \nL 201.654049 182.505336 \nL 201.24994 186.661154 \nL 201.081326 190.592842 \nL 201.10465 194.31188 \nL 201.291427 197.828371 \nL 201.625685 201.151146 \nL 202.101955 204.287702 \nL 202.723835 207.244018 \nL 203.503118 210.024201 \nL 204.459428 212.629943 \nL 205.620327 215.059718 \nL 207.02186 217.30759 \nL 208.709494 219.361494 \nL 210.739434 221.200736 \nL 211.903666 222.03017 \nL 213.180261 222.792377 \nL 214.580034 223.480471 \nL 216.114813 224.086053 \nL 217.797504 224.598893 \nL 219.642134 225.006598 \nL 221.663898 225.294195 \nL 223.879169 225.443658 \nL 226.3055 225.433364 \nL 228.96156 225.237456 \nL 231.867031 224.825142 \nL 235.042408 224.159918 \nL 238.508703 223.198738 \nL 242.286983 221.89118 \nL 246.397738 220.178647 \nL 250.859988 217.993723 \nL 255.690064 215.259826 \nL 260.900013 211.891379 \nL 266.495525 207.79479 \nL 272.473274 202.870664 \nL 278.817638 197.017751 \nL 285.496761 190.139188 \nL 292.45793 182.151722 \nL 299.622476 172.998409 \nL 306.880501 162.665044 \nL 314.086022 151.199902 \nL 321.053374 138.735289 \nL 327.556172 125.507985 \nL 333.330322 111.873692 \nL 338.082766 98.309054 \nL 341.507211 85.394315 \nL 343.307319 73.771388 \nL 343.226213 64.076749 \nL 341.078912 56.856756 \nL 336.782317 52.481457 \nL 330.37607 51.07899 \nL 322.028412 52.510745 \nL 312.023672 56.397426 \nL 300.732987 62.189844 \nL 288.573943 69.263892 \nL 263.30135 84.921049 \nL 250.902506 92.592816 \nL 239.025402 99.766378 \nL 227.84954 106.294444 \nL 217.48615 112.119135 \nL 207.989254 117.24441 \nL 199.368311 121.71205 \nL 191.60031 125.583371 \nL 178.429595 131.808833 \nL 167.991251 136.430428 \nL 159.748496 139.851681 \nL 153.20437 142.358199 \nL 147.937771 144.140916 \nL 143.61122 145.324251 \nL 139.965788 145.989509 \nL 136.811289 146.192317 \nL 134.015548 145.975113 \nL 131.494353 145.376217 \nL 129.202523 144.436423 \nL 127.126069 143.203834 \nL 125.275041 141.737009 \nL 123.676793 140.106421 \nL 122.36928 138.394059 \nL 121.394257 136.690797 \nL 120.790492 135.091808 \nL 120.587307 133.690237 \nL 120.798928 132.56993 \nL 121.05956 132.137185 \nL 121.420375 131.798505 \nL 121.877397 131.558878 \nL 122.425332 131.4217 \nL 123.766511 131.460174 \nL 125.378289 131.909218 \nL 127.181362 132.74119 \nL 129.088542 133.910008 \nL 131.010898 135.35668 \nL 132.863351 137.014867 \nL 134.569099 138.815631 \nL 136.062636 140.690997 \nL 137.291219 142.576171 \nL 138.215128 144.410615 \nL 138.80699 146.138253 \nL 139.05061 147.707245 \nL 138.939616 149.069455 \nL 138.476308 150.180039 \nL 138.115408 150.627812 \nL 137.670813 150.997291 \nL 137.144955 151.283809 \nL 135.861588 151.590643 \nL 134.294656 151.517132 \nL 132.482324 151.039244 \nL 130.472724 150.142896 \nL 128.325101 148.827637 \nL 126.1107 147.110814 \nL 123.912816 145.031788 \nL 121.825659 142.655404 \nL 119.951401 140.07373 \nL 118.3952 137.404789 \nL 117.258004 134.787362 \nL 116.627684 132.371387 \nL 116.524107 131.285639 \nL 116.569395 130.304702 \nL 116.766689 129.444227 \nL 117.116724 128.717851 \nL 117.617716 128.136823 \nL 118.265336 127.709715 \nL 119.052742 127.442233 \nL 119.970701 127.337133 \nL 121.007791 127.394259 \nL 122.150671 127.610661 \nL 123.384396 127.980864 \nL 126.058831 129.149905 \nL 128.893814 130.819359 \nL 131.750633 132.889464 \nL 134.499727 135.254001 \nL 137.028342 137.809022 \nL 139.2449 140.458262 \nL 141.080179 143.115518 \nL 142.486048 145.704723 \nL 143.432723 148.1586 \nL 143.905302 150.416595 \nL 143.962374 151.454514 \nL 143.90038 152.4227 \nL 143.720229 153.314561 \nL 143.423242 154.123565 \nL 143.011121 154.843212 \nL 142.485918 155.467038 \nL 141.850044 155.988586 \nL 141.106279 156.401424 \nL 140.257802 156.699184 \nL 139.30825 156.875594 \nL 138.261764 156.92455 \nL 137.123078 156.840208 \nL 135.897616 156.617119 \nL 134.591585 156.250353 \nL 133.212084 155.735688 \nL 131.767213 155.069832 \nL 130.266206 154.250654 \nL 128.719513 153.277444 \nL 125.537581 150.875055 \nL 122.332688 147.897114 \nL 119.239011 144.420304 \nL 117.781575 142.53229 \nL 116.411282 140.571141 \nL 115.149601 138.560883 \nL 114.018166 136.528552 \nL 113.038301 134.503778 \nL 112.230447 132.51816 \nL 111.61355 130.604517 \nL 111.204398 128.795932 \nL 111.017003 127.12473 \nL 111.061946 125.621376 \nL 111.345877 124.313366 \nL 111.871057 123.224232 \nL 112.635087 122.372678 \nL 113.630796 121.771957 \nL 114.846324 121.429498 \nL 116.265398 121.346845 \nL 117.867776 121.519887 \nL 119.629852 121.939344 \nL 121.525408 122.591443 \nL 123.526404 123.45881 \nL 125.603793 124.521368 \nL 127.728362 125.757274 \nL 129.871488 127.143801 \nL 134.105614 130.277905 \nL 138.110926 133.750169 \nL 141.731128 137.407885 \nL 144.852429 141.124186 \nL 147.400938 144.79704 \nL 148.446666 146.591015 \nL 149.336197 148.344793 \nL 150.068363 150.050435 \nL 150.643055 151.700554 \nL 151.061007 153.28819 \nL 151.32357 154.806649 \nL 151.432537 156.249372 \nL 151.389992 157.609834 \nL 151.198184 158.881417 \nL 150.859442 160.057349 \nL 150.376098 161.130602 \nL 149.75046 162.093842 \nL 148.984805 162.939375 \nL 148.081399 163.65909 \nL 147.042548 164.244459 \nL 145.870656 164.686509 \nL 144.568349 164.975876 \nL 143.138583 165.102819 \nL 141.584803 165.057326 \nL 139.911126 164.829239 \nL 138.122541 164.408426 \nL 136.225134 163.785019 \nL 134.226345 162.949729 \nL 132.135223 161.894224 \nL 129.962722 160.611605 \nL 127.721965 159.096941 \nL 125.428534 157.34793 \nL 123.100702 155.365587 \nL 120.759654 153.155038 \nL 118.429608 150.726278 \nL 116.137878 148.094975 \nL 113.914781 145.283125 \nL 111.793414 142.319623 \nL 109.809228 139.240513 \nL 107.999397 136.088958 \nL 106.401992 132.914786 \nL 105.054883 129.773534 \nL 103.994487 126.724949 \nL 103.254331 123.831026 \nL 102.863543 121.153573 \nL 102.845339 118.7515 \nL 103.215609 116.678009 \nL 103.981746 114.977919 \nL 105.141835 113.685424 \nL 106.684253 112.822424 \nL 108.5878 112.397738 \nL 110.822314 112.407205 \nL 113.349799 112.834569 \nL 116.125934 113.653168 \nL 119.101876 114.828187 \nL 122.226192 116.319098 \nL 125.446814 118.082232 \nL 128.712832 120.07307 \nL 131.976053 122.248216 \nL 135.19227 124.566937 \nL 138.322145 126.992192 \nL 141.331763 129.491204 \nL 144.192873 132.035692 \nL 146.88283 134.601741 \nL 149.384335 137.169478 \nL 151.684979 139.722657 \nL 153.776723 142.248109 \nL 155.655266 144.735249 \nL 157.319443 147.175565 \nL 158.770596 149.56215 \nL 160.012001 151.889331 \nL 161.048343 154.152316 \nL 161.885243 156.3469 \nL 162.528848 158.469244 \nL 162.985495 160.515664 \nL 163.261416 162.482484 \nL 163.362526 164.365893 \nL 163.294227 166.161812 \nL 163.061299 167.865791 \nL 162.667791 169.472916 \nL 162.116976 170.977703 \nL 161.411331 172.373995 \nL 160.552538 173.654874 \nL 159.541514 174.812554 \nL 158.378467 175.838293 \nL 157.06299 176.722266 \nL 155.594154 177.453486 \nL 153.970642 178.019717 \nL 152.190917 178.407378 \nL 150.253421 178.601512 \nL 148.156801 178.585759 \nL 145.900199 178.342363 \nL 143.483566 177.852312 \nL 140.908058 177.095488 \nL 138.176475 176.051011 \nL 135.293763 174.697688 \nL 132.2676 173.014639 \nL 129.109006 170.982215 \nL 125.833066 168.583092 \nL 122.45961 165.80372 \nL 119.013982 162.636004 \nL 115.527701 159.079321 \nL 112.039068 155.14272 \nL 108.5936 150.847285 \nL 105.244163 146.228385 \nL 102.05077 141.337705 \nL 99.079877 136.244576 \nL 96.403067 131.036418 \nL 94.095079 125.817761 \nL 92.231111 120.707642 \nL 90.883482 115.835103 \nL 90.117736 111.332912 \nL 89.988461 107.329795 \nL 90.535232 103.941863 \nL 91.779 101.264215 \nL 93.719439 99.363731 \nL 96.333623 98.274308 \nL 99.576326 97.994988 \nL 103.381958 98.491554 \nL 107.668002 99.701167 \nL 112.339655 101.539304 \nL 117.295079 103.907936 \nL 122.430764 106.703777 \nL 127.646498 109.825574 \nL 132.849521 113.179782 \nL 137.957583 116.68432 \nL 142.90092 120.270513 \nL 147.623128 123.883384 \nL 152.081119 127.480895 \nL 156.244386 131.032358 \nL 160.093773 134.516589 \nL 163.619944 137.919949 \nL 166.821769 141.23454 \nL 169.704682 144.45662 \nL 172.279169 147.585351 \nL 174.55939 150.621774 \nL 176.561984 153.568073 \nL 178.305071 156.427037 \nL 179.807421 159.201675 \nL 181.087805 161.895 \nL 182.164484 164.509868 \nL 183.05483 167.048923 \nL 183.77506 169.514519 \nL 184.340049 171.908738 \nL 184.763225 174.233394 \nL 185.230296 178.679943 \nL 185.253552 182.863505 \nL 184.887005 186.789539 \nL 184.163137 190.459378 \nL 183.094856 193.869595 \nL 181.677259 197.010757 \nL 180.831409 198.475408 \nL 179.88899 199.86555 \nL 178.844906 201.177347 \nL 177.693118 202.406059 \nL 176.426652 203.545914 \nL 175.037606 204.589926 \nL 173.517153 205.529682 \nL 171.855553 206.355125 \nL 170.042173 207.054269 \nL 168.065521 207.612908 \nL 165.913297 208.014259 \nL 163.572484 208.238589 \nL 161.029477 208.262802 \nL 158.270266 208.059999 \nL 155.280702 207.599036 \nL 152.046848 206.844096 \nL 148.555461 205.754327 \nL 144.79463 204.2836 \nL 140.754592 202.380468 \nL 136.428787 199.988451 \nL 131.815175 197.046796 \nL 126.917872 193.491925 \nL 121.749089 189.259766 \nL 116.331449 184.28929 \nL 110.700609 178.527465 \nL 104.908125 171.935902 \nL 99.024361 164.499292 \nL 93.141271 156.235385 \nL 87.374553 147.20615 \nL 81.864652 137.528782 \nL 76.776009 127.384937 \nL 72.293705 117.025593 \nL 68.616865 106.768648 \nL 65.948383 96.986469 \nL 64.481003 88.081635 \nL 64.380559 80.451438 \nL 65.768182 74.444929 \nL 68.704 70.319303 \nL 73.175348 68.204797 \nL 79.092218 68.086792 \nL 86.291617 69.810233 \nL 94.550638 73.105763 \nL 103.606328 77.631511 \nL 113.178823 83.02019 \nL 122.993938 88.921761 \nL 142.390627 101.119889 \nL 175.849831 122.654991 \nL 188.851442 131.222116 \nL 199.427202 138.480157 \nL 207.91448 144.673065 \nL 214.722643 150.01087 \nL 220.259446 154.643569 \nL 228.944446 162.117868 \nL 232.672583 165.016047 \nL 234.48421 166.25209 \nL 236.291563 167.340601 \nL 238.11441 168.275755 \nL 239.970146 169.050456 \nL 241.873919 169.656397 \nL 243.838748 170.084127 \nL 245.875592 170.323139 \nL 247.993354 170.361963 \nL 250.198865 170.18829 \nL 252.496789 169.789182 \nL 254.889499 169.151335 \nL 257.376872 168.261418 \nL 259.956058 167.106536 \nL 262.621184 165.674824 \nL 265.363041 163.956133 \nL 268.168711 161.942941 \nL 271.021248 159.63135 \nL 273.899297 157.022248 \nL 276.776864 154.122576 \nL 279.623102 150.946629 \nL 282.402286 147.517359 \nL 285.073955 143.867498 \nL 287.593365 140.040399 \nL 289.912202 136.090425 \nL 291.97967 132.082669 \nL 293.743968 128.091927 \nL 295.154123 124.2007 \nL 296.16213 120.496297 \nL 296.725357 117.067044 \nL 296.808983 113.99787 \nL 296.388323 111.36556 \nL 295.45085 109.234218 \nL 293.997651 107.651366 \nL 292.044134 106.645201 \nL 289.619927 106.22333 \nL 286.767828 106.373131 \nL 283.541972 107.06378 \nL 280.005286 108.249426 \nL 276.226569 109.873319 \nL 272.277313 111.872208 \nL 268.228702 114.180575 \nL 264.148869 116.734316 \nL 260.100659 119.473569 \nL 256.139999 122.344678 \nL 252.314842 125.301245 \nL 248.664694 128.304449 \nL 245.220637 131.322791 \nL 242.005714 134.33141 \nL 239.035645 137.311228 \nL 236.319677 140.248008 \nL 233.861548 143.131373 \nL 231.660466 145.953987 \nL 229.712064 148.710766 \nL 228.009271 151.398283 \nL 226.543113 154.014251 \nL 225.303388 156.557119 \nL 224.27926 159.025776 \nL 223.459744 161.419329 \nL 222.834094 163.736924 \nL 222.392114 165.977615 \nL 222.124392 168.140249 \nL 222.022482 170.223412 \nL 222.079011 172.225328 \nL 222.287774 174.143816 \nL 222.64377 175.976205 \nL 223.143219 177.719262 \nL 223.783556 179.369108 \nL 224.563411 180.921145 \nL 225.482571 182.369949 \nL 226.541925 183.709132 \nL 227.74341 184.931248 \nL 229.08993 186.027622 \nL 230.585279 186.988227 \nL 232.234025 187.801478 \nL 234.041397 188.454097 \nL 236.01314 188.930902 \nL 238.155323 189.214631 \nL 240.474126 189.285796 \nL 242.975569 189.122537 \nL 245.665182 188.700512 \nL 248.547591 187.992942 \nL 251.626029 186.970657 \nL 254.901746 185.602417 \nL 258.37329 183.855385 \nL 262.035677 181.695914 \nL 265.879425 179.090718 \nL 269.889453 176.008478 \nL 274.043887 172.422004 \nL 278.312769 168.311005 \nL 282.656774 163.665453 \nL 287.025985 158.489559 \nL 291.358919 152.806123 \nL 295.581901 146.661054 \nL 299.609106 140.127521 \nL 303.343409 133.309057 \nL 306.678365 126.340861 \nL 309.501527 119.38834 \nL 311.699104 112.642141 \nL 313.162063 106.30913 \nL 313.793241 100.599561 \nL 313.514995 95.711184 \nL 312.276551 91.812204 \nL 310.060104 89.02554 \nL 306.884708 87.416914 \nL 302.80715 86.989243 \nL 297.919471 87.684344 \nL 292.343259 89.391751 \nL 286.221464 91.962892 \nL 279.70869 95.227991 \nL 272.961349 99.012803 \nL 266.128734 103.152672 \nL 259.345858 107.502623 \nL 252.728572 111.942912 \nL 246.37093 116.380659 \nL 240.344595 120.748393 \nL 234.699823 125.000774 \nL 229.467555 129.110408 \nL 224.662096 133.06358 \nL 220.284066 136.856359 \nL 216.323291 140.491345 \nL 212.76148 143.975141 \nL 209.574569 147.316436 \nL 206.734701 150.524741 \nL 204.211855 153.609498 \nL 201.975113 156.579584 \nL 199.993641 159.443042 \nL 198.237409 162.206986 \nL 195.287375 167.460039 \nL 192.915767 172.37779 \nL 190.943033 176.987897 \nL 185.217716 190.912733 \nL 183.492103 194.278059 \nL 181.572992 197.359702 \nL 179.384414 200.137897 \nL 178.165048 201.40377 \nL 176.849003 202.580585 \nL 175.425855 203.661727 \nL 173.884719 204.639197 \nL 172.214193 205.503396 \nL 170.402316 206.242864 \nL 168.436549 206.843986 \nL 166.303782 207.290671 \nL 163.990375 207.563982 \nL 161.482251 207.641727 \nL 158.765037 207.49805 \nL 155.824297 207.102998 \nL 152.645836 206.422089 \nL 149.216144 205.415958 \nL 145.522976 204.040101 \nL 141.556122 202.244792 \nL 137.308374 199.975316 \nL 132.776782 197.172626 \nL 127.964186 193.774631 \nL 122.881075 189.718315 \nL 117.547751 184.942975 \nL 111.996883 179.394814 \nL 106.276242 173.033113 \nL 100.451579 165.838134 \nL 94.609341 157.820642 \nL 88.858942 149.032585 \nL 83.334009 139.577991 \nL 78.19198 129.622437 \nL 73.611385 119.398814 \nL 69.78604 109.206585 \nL 66.915736 99.401821 \nL 65.193332 90.375946 \nL 64.788815 82.523283 \nL 65.831988 76.200302 \nL 68.396034 71.682605 \nL 72.484777 69.128284 \nL 78.026543 68.556151 \nL 84.876412 69.844912 \nL 92.827184 72.754187 \nL 101.627489 76.962252 \nL 111.003963 82.111578 \nL 120.683728 87.851987 \nL 130.41386 93.873883 \nL 149.192174 105.829946 \nL 173.659355 121.66521 \nL 186.857913 130.402102 \nL 197.62616 137.827266 \nL 206.278825 144.176353 \nL 213.215505 149.660394 \nL 218.842121 154.433683 \nL 229.493609 163.784481 \nL 233.128532 166.555538 \nL 234.921515 167.726489 \nL 236.726385 168.747546 \nL 238.561292 169.611919 \nL 240.442181 170.311566 \nL 242.38291 170.837233 \nL 244.395325 171.178523 \nL 246.489298 171.323949 \nL 248.672716 171.261074 \nL 250.95141 170.976628 \nL 253.329023 170.456744 \nL 255.806846 169.687246 \nL 258.383576 168.65407 \nL 261.055027 167.343766 \nL 263.813804 165.744172 \nL 266.648926 163.845224 \nL 269.545447 161.639937 \nL 272.484077 159.125564 \nL 275.440803 156.304869 \nL 278.386627 153.187516 \nL 281.287424 149.791482 \nL 284.103935 146.14441 \nL 286.792031 142.28474 \nL 289.303274 138.262442 \nL 291.585833 134.139213 \nL 293.585802 129.987873 \nL 295.248905 125.890845 \nL 296.522616 121.937621 \nL 297.358588 118.221193 \nL 297.715251 114.833645 \nL 297.560395 111.861171 \nL 296.87357 109.37897 \nL 295.648006 107.446606 \nL 293.891814 106.104319 \nL 291.62837 105.370804 \nL 288.895692 105.242683 \nL 285.744905 105.695906 \nL 282.237884 106.688562 \nL 278.444242 108.165042 \nL 274.438053 110.060663 \nL 270.294483 112.306446 \nL 266.086717 114.833424 \nL 261.88328 117.576096 \nL 257.746031 120.474975 \nL 253.728732 123.478085 \nL 249.876331 126.541613 \nL 246.224754 129.629781 \nL 242.801203 132.714298 \nL 239.624795 135.773442 \nL 236.707419 138.791034 \nL 234.054747 141.755388 \nL 231.667285 144.658327 \nL 229.541386 147.494348 \nL 227.670238 150.259886 \nL 226.044724 152.952725 \nL 224.654201 155.571559 \nL 223.487154 158.11562 \nL 222.531737 160.584423 \nL 221.776228 162.977593 \nL 221.209379 165.294684 \nL 220.820683 167.53511 \nL 220.600581 169.698035 \nL 220.540604 171.782331 \nL 220.633466 173.786491 \nL 220.873127 175.708587 \nL 221.254812 177.546204 \nL 221.77502 179.296357 \nL 222.431502 180.955448 \nL 223.223232 182.519136 \nL 224.15037 183.982268 \nL 225.214205 185.338747 \nL 226.417095 186.581409 \nL 227.762399 187.701869 \nL 229.254398 188.690371 \nL 230.898194 189.535614 \nL 232.699609 190.224545 \nL 234.665028 190.742178 \nL 236.801258 191.071391 \nL 239.115307 191.192727 \nL 241.614134 191.084227 \nL 244.304336 190.72129 \nL 247.191756 190.076616 \nL 250.281005 189.120234 \nL 253.574895 187.819712 \nL 257.073718 186.140544 \nL 260.77442 184.046832 \nL 264.66962 181.502361 \nL 268.74648 178.472112 \nL 272.985452 174.924359 \nL 277.358908 170.833378 \nL 281.829712 166.182904 \nL 286.349826 160.970226 \nL 290.859107 155.210874 \nL 295.284432 148.943604 \nL 299.539378 142.235247 \nL 303.524789 135.184713 \nL 307.130415 127.925307 \nL 310.237998 120.624332 \nL 312.725843 113.478992 \nL 314.475009 106.707871 \nL 315.376818 100.537932 \nL 315.34116 95.187683 \nL 314.304814 90.848325 \nL 312.238649 87.665427 \nL 309.152687 85.724381 \nL 305.097984 85.042193 \nL 300.164787 85.567638 \nL 294.477022 87.189501 \nL 288.183745 89.751601 \nL 281.448693 93.071455 \nL 274.439333 96.95921 \nL 267.316787 101.234074 \nL 260.227631 105.736128 \nL 253.29817 110.333194 \nL 246.631264 114.922925 \nL 240.305475 119.431394 \nL 234.376044 123.80943 \nL 228.877101 128.027909 \nL 223.824622 132.072912 \nL 219.219652 135.94129 \nL 215.051481 139.637019 \nL 211.300585 143.168294 \nL 207.94119 146.545479 \nL 204.943439 149.779618 \nL 202.275138 152.881543 \nL 199.903143 155.861293 \nL 197.794407 158.727847 \nL 194.239346 164.15152 \nL 191.371044 169.201894 \nL 188.980458 173.912838 \nL 183.034579 186.177636 \nL 181.035556 189.654558 \nL 178.856275 192.809583 \nL 177.670809 194.258882 \nL 176.406818 195.617032 \nL 175.053354 196.878517 \nL 173.599368 198.036637 \nL 172.03362 199.083323 \nL 170.344603 200.008941 \nL 168.520503 200.802056 \nL 166.549171 201.449161 \nL 164.418137 201.934401 \nL 162.114662 202.239252 \nL 159.625829 202.342187 \nL 156.938707 202.218327 \nL 154.040584 201.839117 \nL 150.919298 201.172012 \nL 147.563682 200.18026 \nL 143.964132 198.822813 \nL 140.113373 197.054416 \nL 136.007396 194.826037 \nL 131.64662 192.085701 \nL 127.037324 188.779941 \nL 122.193324 184.855989 \nL 117.137916 180.264961 \nL 111.906024 174.966176 \nL 106.546536 168.932784 \nL 101.124567 162.158695 \nL 95.723568 154.666597 \nL 90.446794 146.516643 \nL 85.417842 137.814796 \nL 80.779647 128.719514 \nL 76.691417 119.444869 \nL 73.323056 110.258004 \nL 70.846704 101.469009 \nL 69.4256 93.41208 \nL 69.200816 86.418407 \nL 70.277241 80.783568 \nL 72.710626 76.734003 \nL 76.49797 74.399248 \nL 81.573167 73.7959 \nL 87.809341 74.827533 \nL 95.027887 77.300933 \nL 103.013021 80.954964 \nL 111.529587 85.495654 \nL 120.341224 90.630072 \nL 129.226389 96.093311 \nL 146.473042 107.178766 \nL 162.137448 117.603832 \nL 175.649009 126.906579 \nL 186.884144 135.044132 \nL 191.691741 138.716645 \nL 196.005351 142.154854 \nL 199.86721 145.381087 \nL 206.417243 151.276926 \nL 211.70614 156.535839 \nL 216.076607 161.2461 \nL 223.228427 169.19125 \nL 226.483105 172.440673 \nL 228.114099 173.876334 \nL 229.773889 175.179295 \nL 231.480043 176.342903 \nL 233.248567 177.359157 \nL 235.094043 178.218644 \nL 237.029723 178.910461 \nL 239.067579 179.422166 \nL 241.218316 179.739729 \nL 243.491329 179.847483 \nL 245.894593 179.728147 \nL 248.43449 179.362882 \nL 251.115575 178.731432 \nL 253.940254 177.81238 \nL 256.908381 176.583544 \nL 260.016772 175.022543 \nL 263.258644 173.107604 \nL 266.622976 170.818606 \nL 270.093773 168.138449 \nL 273.649368 165.054717 \nL 277.261636 161.561701 \nL 280.895326 157.662705 \nL 284.50751 153.372558 \nL 288.047231 148.720191 \nL 291.455532 143.751071 \nL 294.665903 138.52913 \nL 297.605353 133.137858 \nL 300.196184 127.680086 \nL 302.358518 122.276089 \nL 304.013607 117.059658 \nL 305.08784 112.172116 \nL 305.517189 107.754429 \nL 305.251768 103.938008 \nL 304.260104 100.835179 \nL 302.532559 98.530548 \nL 300.083451 97.074418 \nL 296.951504 96.479377 \nL 293.198462 96.720624 \nL 288.905897 97.739924 \nL 284.170607 99.452568 \nL 279.099018 101.756158 \nL 273.801274 104.539889 \nL 268.385619 107.693055 \nL 262.953521 111.111997 \nL 257.59594 114.704894 \nL 252.390829 118.394346 \nL 247.401864 122.118194 \nL 242.678246 125.828797 \nL 238.255349 129.491451 \nL 234.155964 133.082309 \nL 230.391912 136.586173 \nL 226.965803 139.994437 \nL 223.872819 143.303289 \nL 221.102404 146.512208 \nL 218.639784 149.622816 \nL 216.467297 152.637994 \nL 214.565511 155.56129 \nL 212.914141 158.396484 \nL 211.492786 161.14731 \nL 210.281487 163.817326 \nL 209.261152 166.409789 \nL 208.413854 168.927666 \nL 207.723035 171.373612 \nL 206.752093 176.058832 \nL 206.246355 180.481125 \nL 206.128225 184.652542 \nL 206.342823 188.58197 \nL 206.855692 192.275289 \nL 207.650477 195.735106 \nL 208.726959 198.960111 \nL 210.099615 201.943936 \nL 211.796745 204.673471 \nL 212.779525 205.936354 \nL 213.860165 207.12641 \nL 215.046032 208.238844 \nL 216.345374 209.267795 \nL 217.767348 210.206121 \nL 219.32203 211.045198 \nL 221.020429 211.774649 \nL 222.87449 212.382056 \nL 224.897089 212.85261 \nL 227.101992 213.168723 \nL 229.503787 213.309586 \nL 232.117776 213.250698 \nL 234.9598 212.963331 \nL 238.045989 212.414001 \nL 241.392399 211.563922 \nL 245.014517 210.368528 \nL 248.926606 208.777079 \nL 253.140812 206.732513 \nL 257.66604 204.171616 \nL 262.50649 201.025721 \nL 267.659843 197.222157 \nL 273.115063 192.686759 \nL 278.849725 187.347752 \nL 284.826984 181.141369 \nL 290.992181 174.019551 \nL 297.269338 165.959832 \nL 303.557734 156.977386 \nL 309.729199 147.138533 \nL 315.626616 136.574412 \nL 321.064636 125.492564 \nL 325.833431 114.183218 \nL 329.706477 103.016449 \nL 332.452885 92.426588 \nL 333.854268 82.881545 \nL 333.725078 74.838023 \nL 331.934102 68.687649 \nL 328.423772 64.703637 \nL 323.223376 63.000034 \nL 316.452905 63.514613 \nL 308.31558 66.020986 \nL 299.079835 70.167524 \nL 289.053774 75.533005 \nL 278.556822 81.68534 \nL 267.893507 88.230515 \nL 219.757569 118.301501 \nL 192.900411 134.84709 \nL 183.21925 141.009839 \nL 175.479111 146.146875 \nL 157.597804 158.338258 \nL 153.749106 160.429966 \nL 151.883806 161.246782 \nL 150.030204 161.905781 \nL 148.171274 162.401784 \nL 146.29276 162.728755 \nL 144.383061 162.879971 \nL 142.433134 162.848227 \nL 140.436448 162.626042 \nL 138.388973 162.205902 \nL 136.289201 161.580576 \nL 134.138206 160.743452 \nL 131.939737 159.68898 \nL 129.700313 158.413124 \nL 127.429361 156.913948 \nL 125.139316 155.192196 \nL 122.845716 153.251985 \nL 120.567264 151.101479 \nL 118.325824 148.753573 \nL 116.146306 146.226509 \nL 114.056459 143.544408 \nL 112.086531 140.737607 \nL 110.268725 137.84272 \nL 108.63652 134.902408 \nL 107.223767 131.964749 \nL 106.06364 129.082152 \nL 105.187414 126.309858 \nL 104.623167 123.704057 \nL 104.39443 121.31963 \nL 104.518893 119.207793 \nL 105.007259 117.413707 \nL 105.862362 115.974311 \nL 107.07858 114.916597 \nL 108.641692 114.256481 \nL 110.529143 113.998347 \nL 112.71076 114.135372 \nL 115.149838 114.650531 \nL 117.804567 115.518188 \nL 120.629622 116.706052 \nL 123.57789 118.177295 \nL 126.602092 119.892702 \nL 129.656343 121.812571 \nL 132.697416 123.898335 \nL 135.685796 126.113806 \nL 138.586386 128.425968 \nL 141.368956 130.805491 \nL 144.008293 133.226856 \nL 146.484132 135.668265 \nL 148.780907 138.111387 \nL 150.887368 140.540974 \nL 152.796084 142.944446 \nL 154.502927 145.31144 \nL 156.006516 147.633402 \nL 157.307697 149.903193 \nL 158.409018 152.11474 \nL 159.314278 154.262748 \nL 160.028117 156.34243 \nL 160.555649 158.349319 \nL 160.902172 160.279065 \nL 161.07291 162.127292 \nL 161.072811 163.889437 \nL 160.906401 165.560673 \nL 160.577665 167.135773 \nL 160.089973 168.609003 \nL 159.44605 169.974045 \nL 158.647956 171.223897 \nL 157.69711 172.350754 \nL 156.59433 173.345951 \nL 155.339919 174.199868 \nL 153.933755 174.901834 \nL 152.375424 175.440064 \nL 150.664378 175.801619 \nL 148.800119 175.972367 \nL 146.782436 175.936998 \nL 144.611679 175.679094 \nL 142.289061 175.181256 \nL 139.817027 174.425328 \nL 137.199671 173.392723 \nL 134.443207 172.064909 \nL 131.556488 170.42407 \nL 128.551571 168.453932 \nL 125.44434 166.140848 \nL 122.255107 163.47508 \nL 119.009231 160.45238 \nL 115.737682 157.075715 \nL 112.477464 153.357189 \nL 109.271905 149.319956 \nL 106.170673 145.000103 \nL 103.22943 140.448104 \nL 100.50908 135.729749 \nL 98.074461 130.926165 \nL 95.992497 126.132672 \nL 94.329769 121.456185 \nL 93.149538 117.01118 \nL 92.508392 112.914211 \nL 92.452739 109.277306 \nL 93.015383 106.200848 \nL 94.212616 103.766732 \nL 96.042106 102.032613 \nL 98.481935 101.028017 \nL 101.490921 100.753012 \nL 105.010339 101.179472 \nL 108.966866 102.254857 \nL 113.276447 103.907782 \nL 117.848721 106.054698 \nL 122.591551 108.606631 \nL 127.415248 111.475292 \nL 132.236134 114.577899 \nL 136.9793 117.840627 \nL 141.580382 121.20043 \nL 145.98648 124.605675 \nL 150.156295 128.015696 \nL 154.059604 131.399747 \nL 157.676335 134.735541 \nL 160.995329 138.007702 \nL 164.012973 141.206259 \nL 166.731805 144.325309 \nL 169.159185 147.361878 \nL 171.306071 150.315017 \nL 173.185931 153.185085 \nL 174.813816 155.973242 \nL 176.205588 158.68104 \nL 177.377286 161.310194 \nL 178.34463 163.862392 \nL 179.122639 166.339195 \nL 179.725348 168.741959 \nL 180.16561 171.071785 \nL 180.454958 173.329516 \nL 180.603528 175.515707 \nL 180.620026 177.630605 \nL 180.511715 179.674134 \nL 180.284436 181.645884 \nL 179.942637 183.545062 \nL 179.489413 185.370458 \nL 178.926557 187.120398 \nL 178.254606 188.792692 \nL 177.472885 190.384537 \nL 176.579562 191.892451 \nL 175.571682 193.312145 \nL 174.445216 194.638424 \nL 173.195094 195.865026 \nL 171.815253 196.984471 \nL 170.298674 197.98786 \nL 168.637436 198.864677 \nL 166.822777 199.602533 \nL 164.845168 200.186917 \nL 162.694427 200.60089 \nL 160.359845 200.824785 \nL 157.830368 200.835886 \nL 155.094847 200.608106 \nL 152.142339 200.111693 \nL 148.962529 199.312987 \nL 145.546252 198.174292 \nL 141.886164 196.653893 \nL 137.97758 194.706318 \nL 133.819511 192.282986 \nL 129.415922 189.333302 \nL 124.777229 185.806418 \nL 119.922042 181.653833 \nL 114.879123 176.832953 \nL 109.689523 171.311846 \nL 104.408773 165.075194 \nL 99.108945 158.131356 \nL 93.880363 150.520289 \nL 88.832541 142.321627 \nL 84.093956 133.661793 \nL 79.810156 124.718734 \nL 76.139659 115.722351 \nL 73.247382 106.94876 \nL 71.295337 98.706874 \nL 70.431101 91.316934 \nL 70.774854 85.082449 \nL 72.40643 80.258737 \nL 75.354399 77.023506 \nL 79.589096 75.455239 \nL 85.021255 75.524476 \nL 91.506983 77.100368 \nL 98.858694 79.971178 \nL 106.860278 83.874167 \nL 115.284261 88.528393 \nL 123.908288 93.664192 \nL 132.528868 99.044838 \nL 149.093999 109.823527 \nL 163.9927 119.895295 \nL 176.759935 128.896121 \nL 187.331337 136.815557 \nL 191.845486 140.41021 \nL 195.892325 143.789084 \nL 199.513528 146.972357 \nL 202.752994 149.978349 \nL 208.263511 155.519627 \nL 212.764872 160.510018 \nL 223.080344 172.630218 \nL 226.207056 175.740067 \nL 227.81083 177.107386 \nL 229.464835 178.341527 \nL 231.184788 179.434755 \nL 232.985172 180.3779 \nL 234.879346 181.160303 \nL 236.879598 181.769672 \nL 238.997176 182.192038 \nL 241.242243 182.411647 \nL 243.623794 182.410913 \nL 246.149495 182.170425 \nL 248.825458 181.668989 \nL 251.655936 180.883798 \nL 254.642938 179.790706 \nL 257.785718 178.364692 \nL 261.080226 176.580525 \nL 264.518411 174.413694 \nL 268.087452 171.841675 \nL 271.768943 168.845551 \nL 275.538006 165.412007 \nL 279.362409 161.535748 \nL 283.20179 157.222241 \nL 287.007023 152.490709 \nL 290.71988 147.37717 \nL 294.273108 141.937198 \nL 297.59111 136.24803 \nL 300.591339 130.409488 \nL 303.186576 124.543253 \nL 305.288099 118.789914 \nL 306.809815 113.303536 \nL 307.673086 108.243746 \nL 307.812022 103.765691 \nL 307.178706 100.008853 \nL 305.747872 97.085983 \nL 303.520307 95.073755 \nL 300.524507 94.006591 \nL 296.816246 93.874821 \nL 292.475881 94.627372 \nL 287.603747 96.178599 \nL 282.314063 98.418087 \nL 276.728136 101.221656 \nL 270.967586 104.462157 \nL 265.148256 108.018482 \nL 259.375366 111.782126 \nL 253.74011 115.661114 \nL 248.317747 119.581416 \nL 243.167021 123.486469 \nL 238.330705 127.335384 \nL 233.836893 131.100504 \nL 229.700794 134.764693 \nL 225.926762 138.318809 \nL 222.51037 141.75944 \nL 219.440371 145.087081 \nL 216.700489 148.304691 \nL 214.270967 151.416628 \nL 212.12988 154.427909 \nL 210.254203 157.343717 \nL 208.620658 160.169086 \nL 207.206362 162.908722 \nL 205.989312 165.566934 \nL 204.948722 168.147601 \nL 203.321117 173.089795 \nL 202.187943 177.758896 \nL 201.439379 182.173939 \nL 200.989875 186.350729 \nL 200.775339 190.302763 \nL 200.749917 194.041848 \nL 200.882918 197.578471 \nL 201.342566 202.523774 \nL 201.814354 205.592224 \nL 202.423164 208.485175 \nL 203.181642 211.206883 \nL 204.109754 213.759333 \nL 205.234978 216.141474 \nL 206.592917 218.348092 \nL 208.228286 220.368201 \nL 210.196261 222.182662 \nL 211.325486 223.003751 \nL 212.564158 223.760763 \nL 213.922904 224.447242 \nL 215.413363 225.055276 \nL 217.048245 225.575222 \nL 218.841385 225.995373 \nL 220.807798 226.301558 \nL 222.963705 226.476683 \nL 225.326539 226.500193 \nL 227.914905 226.34746 \nL 230.748502 225.989082 \nL 233.847956 225.39011 \nL 237.23456 224.509204 \nL 240.929869 223.297766 \nL 244.955131 221.699093 \nL 249.330476 219.647624 \nL 254.073792 217.068445 \nL 259.199249 213.877227 \nL 264.715352 209.980883 \nL 270.622431 205.279339 \nL 276.909509 199.668871 \nL 283.550469 193.047653 \nL 290.499548 185.324137 \nL 297.686213 176.42889 \nL 305.00973 166.330274 \nL 312.33389 155.053832 \nL 319.482746 142.704274 \nL 326.238484 129.487485 \nL 332.342941 115.728219 \nL 337.504545 101.877132 \nL 341.412084 88.499958 \nL 343.756319 76.242281 \nL 344.258644 65.767559 \nL 342.704182 57.673393 \nL 338.97424 52.400245 \nL 333.071467 50.154548 \nL 325.130831 50.869146 \nL 315.412283 54.215303 \nL 304.274883 59.665118 \nL 292.137422 66.586209 \nL 279.43383 74.341593 \nL 253.905202 90.233753 \nL 241.711635 97.630959 \nL 230.193492 104.384954 \nL 219.480284 110.418312 \nL 209.639876 115.723972 \nL 200.691426 120.339119 \nL 192.618157 124.324735 \nL 178.915846 130.689302 \nL 168.055607 135.356143 \nL 159.494536 138.759699 \nL 152.724861 141.211632 \nL 147.314557 142.923499 \nL 142.916688 144.036045 \nL 139.264533 144.643887 \nL 136.161355 144.813867 \nL 133.469027 144.597968 \nL 131.097275 144.042425 \nL 128.994105 143.194017 \nL 127.137377 142.104355 \nL 125.527269 140.832286 \nL 124.179318 139.444719 \nL 123.11791 138.015685 \nL 122.369977 136.62376 \nL 121.959124 135.347981 \nL 121.900413 134.262821 \nL 122.196135 133.432768 \nL 122.473416 133.129619 \nL 122.833037 132.907485 \nL 123.781259 132.718162 \nL 124.995148 132.875852 \nL 126.415731 133.371813 \nL 127.974545 134.179708 \nL 129.598153 135.259144 \nL 131.212774 136.559819 \nL 132.748427 138.025578 \nL 134.14221 139.59794 \nL 135.340484 141.218736 \nL 136.300053 142.8319 \nL 136.988425 144.38438 \nL 137.383427 145.826583 \nL 137.472481 147.112375 \nL 137.251785 148.199035 \nL 136.725571 149.047272 \nL 135.905649 149.621451 \nL 134.811286 149.890289 \nL 133.469395 149.827951 \nL 131.915036 149.415838 \nL 130.192057 148.644838 \nL 128.353687 147.518126 \nL 126.462804 146.054184 \nL 124.591596 144.289719 \nL 122.820127 142.281815 \nL 121.233723 140.108639 \nL 119.918732 137.867897 \nL 118.95688 135.672418 \nL 118.418468 133.642757 \nL 118.325135 132.727509 \nL 118.35523 131.897345 \nL 118.51125 131.164914 \nL 118.793818 130.541344 \nL 119.201584 130.035993 \nL 119.731215 129.656194 \nL 120.377409 129.407144 \nL 121.132996 129.291791 \nL 121.98905 129.310827 \nL 122.935097 129.462794 \nL 125.048902 130.149648 \nL 127.368972 131.303772 \nL 129.782008 132.855297 \nL 132.175691 134.72175 \nL 134.446115 136.815881 \nL 136.503132 139.051624 \nL 138.273283 141.347948 \nL 139.700563 143.630592 \nL 140.745559 145.832331 \nL 141.383548 147.892202 \nL 141.602176 149.754288 \nL 141.399227 151.366402 \nL 141.141284 152.063166 \nL 140.780821 152.679051 \nL 140.319727 153.208181 \nL 139.760312 153.644816 \nL 139.105321 153.983351 \nL 138.357959 154.218372 \nL 137.521918 154.344684 \nL 136.601434 154.357401 \nL 135.601335 154.252001 \nL 133.384945 153.671408 \nL 130.925793 152.579119 \nL 128.2909 150.966544 \nL 125.563286 148.846528 \nL 122.843119 146.260181 \nL 120.247178 143.283084 \nL 117.90577 140.029389 \nL 115.956452 136.651598 \nL 115.171459 134.972899 \nL 114.534244 133.334234 \nL 114.059164 131.761421 \nL 113.758699 130.280225 \nL 113.642993 128.915566 \nL 113.719448 127.69079 \nL 113.992331 126.626884 \nL 114.462524 125.741803 \nL 115.127351 125.049909 \nL 115.980532 124.561538 \nL 117.012243 124.282756 \nL 118.209337 124.21531 \nL 119.555695 124.356752 \nL 121.032629 124.70078 \nL 122.619431 125.237654 \nL 124.29392 125.954777 \nL 126.033049 126.837316 \nL 129.612212 129.031849 \nL 133.176507 131.681045 \nL 136.563926 134.64476 \nL 139.640174 137.793943 \nL 142.302603 141.015972 \nL 144.479562 144.215509 \nL 146.126615 147.312462 \nL 147.221132 150.238462 \nL 147.558667 151.618276 \nL 147.756578 152.933126 \nL 147.81571 154.176112 \nL 147.737325 155.340427 \nL 147.52301 156.419258 \nL 147.174603 157.40573 \nL 146.694148 158.29285 \nL 146.083871 159.07347 \nL 145.346174 159.740255 \nL 144.483661 160.285666 \nL 143.499195 160.701985 \nL 142.395948 160.981322 \nL 141.177505 161.115685 \nL 139.847968 161.097075 \nL 138.412096 160.917577 \nL 136.875443 160.569558 \nL 135.244534 160.045827 \nL 133.527041 159.339928 \nL 131.73197 158.446412 \nL 129.869864 157.361235 \nL 127.952977 156.08213 \nL 125.995454 154.609104 \nL 124.013475 152.94493 \nL 122.025381 151.095645 \nL 120.051722 149.071102 \nL 118.115222 146.885431 \nL 116.240689 144.557473 \nL 114.454778 142.11105 \nL 112.785652 139.575074 \nL 111.262488 136.983438 \nL 109.914843 134.374617 \nL 108.77187 131.790974 \nL 107.861427 129.27771 \nL 107.209103 126.881539 \nL 106.837155 124.649078 \nL 106.763481 122.625072 \nL 107.000662 120.850509 \nL 107.555155 119.360894 \nL 108.426723 118.184655 \nL 109.608088 117.34198 \nL 111.084946 116.844083 \nL 112.836319 116.693003 \nL 114.835192 116.882002 \nL 117.049448 117.396342 \nL 119.443024 118.2146 \nL 121.977205 119.310114 \nL 124.611937 120.652614 \nL 127.307151 122.209828 \nL 130.023931 123.94892 \nL 132.725534 125.837744 \nL 135.378198 127.845767 \nL 137.951722 129.944794 \nL 140.419814 132.109321 \nL 142.760253 134.316741 \nL 144.954854 136.547316 \nL 146.989284 138.784023 \nL 148.852788 141.012304 \nL 150.537812 143.219758 \nL 152.039604 145.395842 \nL 153.355775 147.531517 \nL 154.485876 149.618961 \nL 155.430996 151.651291 \nL 156.193371 153.622316 \nL 156.776055 155.526305 \nL 157.18261 157.357807 \nL 157.416868 159.111483 \nL 157.4827 160.78196 \nL 157.383861 162.363703 \nL 157.123854 163.850904 \nL 156.705833 165.23737 \nL 156.132557 166.51645 \nL 155.406356 167.680911 \nL 154.529138 168.72288 \nL 153.502426 169.633778 \nL 152.327416 170.40424 \nL 151.005074 171.024057 \nL 149.536249 171.482159 \nL 147.921835 171.766604 \nL 146.162942 171.864575 \nL 144.261119 171.762459 \nL 142.218601 171.445979 \nL 140.038612 170.900346 \nL 137.725686 170.110558 \nL 135.286033 169.061757 \nL 132.727962 167.739751 \nL 130.062308 166.131646 \nL 127.302906 164.226634 \nL 124.467057 162.016997 \nL 121.576005 159.499204 \nL 118.655342 156.675218 \nL 115.735361 153.553872 \nL 112.851282 150.152304 \nL 110.043275 146.497317 \nL 107.356267 142.626534 \nL 104.839439 138.589207 \nL 102.545349 134.446422 \nL 100.528655 130.270579 \nL 98.844451 126.143938 \nL 97.546155 122.156105 \nL 96.683106 118.40052 \nL 96.297965 114.970056 \nL 96.424083 111.951987 \nL 97.08308 109.422876 \nL 98.282894 107.443774 \nL 100.016477 106.056438 \nL 102.261387 105.280995 \nL 104.980336 105.115313 \nL 108.122695 105.536229 \nL 111.626828 106.502411 \nL 115.423097 107.958422 \nL 119.43717 109.839442 \nL 123.59342 112.076047 \nL 127.818057 114.598642 \nL 132.041843 117.34099 \nL 136.202176 120.242828 \nL 140.244544 123.251431 \nL 144.123306 126.32231 \nL 147.8019 129.419118 \nL 151.252582 132.513094 \nL 154.455793 135.582149 \nL 157.399296 138.609839 \nL 160.077163 141.5843 \nL 162.488724 144.497242 \nL 164.637523 147.343106 \nL 166.530343 150.118299 \nL 168.176315 152.820613 \nL 169.586143 155.448769 \nL 170.771431 158.002042 \nL 171.744135 160.480013 \nL 172.516104 162.882342 \nL 173.098728 165.208671 \nL 173.502656 167.458462 \nL 173.737589 169.630964 \nL 173.812144 171.72512 \nL 173.733745 173.739514 \nL 173.50857 175.672296 \nL 173.141524 177.521154 \nL 172.636236 179.283214 \nL 171.995069 180.954988 \nL 171.219158 182.532279 \nL 170.308445 184.010072 \nL 169.261732 185.382432 \nL 168.076739 186.642373 \nL 166.750175 187.781725 \nL 165.277811 188.790952 \nL 163.654579 189.658993 \nL 161.87467 190.373066 \nL 159.931681 190.918473 \nL 157.818761 191.278403 \nL 155.528812 191.433718 \nL 153.054739 191.362788 \nL 150.389748 191.041331 \nL 147.527722 190.442342 \nL 144.463687 189.536109 \nL 141.194379 188.290351 \nL 137.718917 186.670612 \nL 134.039625 184.640857 \nL 130.163004 182.164489 \nL 126.100832 179.205798 \nL 121.871421 175.731921 \nL 117.500969 171.715534 \nL 113.025016 167.138135 \nL 108.489854 161.99414 \nL 103.953804 156.295505 \nL 99.488171 150.076755 \nL 95.177702 143.399972 \nL 91.120172 136.359059 \nL 87.424951 129.082467 \nL 84.210182 121.73333 \nL 81.598373 114.506035 \nL 79.710433 107.618411 \nL 78.65828 101.299251 \nL 78.536499 95.77179 \nL 79.413875 91.234784 \nL 81.325804 87.84368 \nL 84.26877 85.694939 \nL 88.197861 84.816656 \nL 93.02801 85.167208 \nL 98.639021 86.642546 \nL 104.883823 89.090444 \nL 111.59884 92.329121 \nL 118.615073 96.166676 \nL 125.768525 100.418204 \nL 132.908838 104.918604 \nL 139.905457 109.530186 \nL 146.651212 114.145453 \nL 153.063481 118.686075 \nL 159.083427 123.099387 \nL 164.673901 127.353704 \nL 169.816516 131.43335 \nL 174.508411 135.334121 \nL 178.759006 139.059411 \nL 182.586988 142.617246 \nL 186.017674 146.018004 \nL 189.080757 149.272928 \nL 191.808494 152.393096 \nL 194.234257 155.388828 \nL 196.391443 158.26937 \nL 198.312663 161.042798 \nL 201.570555 166.294786 \nL 204.236378 171.187265 \nL 207.54746 177.910206 \nL 210.502524 183.933978 \nL 212.485958 187.564811 \nL 214.603346 190.877083 \nL 216.948999 193.850068 \nL 218.235527 195.199332 \nL 219.612654 196.449806 \nL 221.091555 197.594531 \nL 222.683578 198.625144 \nL 224.400311 199.531676 \nL 226.253623 200.302317 \nL 228.255689 200.923144 \nL 230.418965 201.377843 \nL 232.756129 201.647384 \nL 235.279975 201.709709 \nL 238.003233 201.539379 \nL 240.938327 201.107265 \nL 244.097013 200.380275 \nL 247.489922 199.321162 \nL 251.125941 197.888482 \nL 255.011434 196.036771 \nL 259.149257 193.717065 \nL 263.537565 190.877846 \nL 268.168336 187.466652 \nL 273.025691 183.432448 \nL 278.083902 178.728993 \nL 283.305267 173.319383 \nL 288.637825 167.181862 \nL 294.013166 160.316822 \nL 299.344513 152.754873 \nL 304.525463 144.565269 \nL 309.429799 135.863771 \nL 313.912908 126.818485 \nL 317.815321 117.651764 \nL 320.96882 108.636175 \nL 323.205295 100.082747 \nL 324.368157 92.320814 \nL 324.325574 85.670137 \nL 322.984043 80.408589 \nL 320.300491 76.740366 \nL 316.290709 74.770884 \nL 311.032261 74.494208 \nL 304.660867 75.796239 \nL 297.360373 78.473257 \nL 289.347741 82.261583 \nL 280.855448 86.871886 \nL 272.114014 92.021127 \nL 263.337007 97.457107 \nL 246.384499 108.413436 \nL 231.061808 118.678629 \nL 217.888273 127.839865 \nL 206.957577 135.872036 \nL 202.28517 139.505811 \nL 198.09464 142.913674 \nL 194.343857 146.117016 \nL 187.982041 151.985631 \nL 182.841387 157.236552 \nL 178.586442 161.95309 \nL 171.59485 169.942505 \nL 168.395948 173.227545 \nL 166.788545 174.68428 \nL 165.149933 176.010533 \nL 163.462782 177.199711 \nL 161.711233 178.243855 \nL 159.880769 179.133601 \nL 157.958121 179.858067 \nL 155.931203 180.404817 \nL 153.789111 180.759754 \nL 151.522159 180.90709 \nL 149.121979 180.829332 \nL 146.581691 180.507309 \nL 143.896151 179.920277 \nL 141.062247 179.046155 \nL 138.079322 177.861873 \nL 134.94965 176.343883 \nL 131.67902 174.468953 \nL 128.277393 172.215153 \nL 124.759653 169.563194 \nL 121.146366 166.498122 \nL 117.464607 163.011324 \nL 113.748716 159.102911 \nL 110.040945 154.784355 \nL 106.391901 150.081224 \nL 102.860685 145.035907 \nL 99.514535 139.70983 \nL 96.427929 134.184953 \nL 93.680893 128.563973 \nL 91.356555 122.968768 \nL 89.537821 117.536796 \nL 88.3033 112.415188 \nL 87.72265 107.752706 \nL 87.851702 103.690143 \nL 88.727799 100.350041 \nL 90.365933 97.827123 \nL 92.756138 96.18068 \nL 95.862641 95.430295 \nL 99.624985 95.555396 \nL 103.961098 96.498994 \nL 108.772001 98.174742 \nL 113.947634 100.4762 \nL 119.373142 103.286865 \nL 124.934974 106.489498 \nL 130.526156 109.97384 \nL 136.050446 113.641961 \nL 141.425124 117.411319 \nL 146.582465 121.215663 \nL 151.470025 125.004399 \nL 156.050023 128.74087 \nL 160.298031 132.400104 \nL 164.201303 135.966459 \nL 167.756877 139.431337 \nL 170.969694 142.791234 \nL 173.850801 146.046132 \nL 176.41573 149.19825 \nL 178.683095 152.251091 \nL 180.673392 155.208802 \nL 182.408042 158.075731 \nL 183.908612 160.856127 \nL 185.196227 163.554015 \nL 186.291125 166.173079 \nL 187.212351 168.716654 \nL 187.977545 171.187734 \nL 189.102727 175.922806 \nL 189.776624 180.396408 \nL 190.084486 184.623066 \nL 190.088786 188.614473 \nL 189.831842 192.379955 \nL 189.338473 195.926566 \nL 188.618306 199.258893 \nL 187.667554 202.378545 \nL 186.470196 205.283309 \nL 184.998549 207.965845 \nL 183.213276 210.411837 \nL 182.187442 211.539112 \nL 181.06291 212.597316 \nL 179.831204 213.581319 \nL 178.48297 214.48484 \nL 177.007926 215.300214 \nL 175.394841 216.018169 \nL 173.631497 216.627512 \nL 171.704677 217.114816 \nL 169.600162 217.464004 \nL 167.302757 217.655925 \nL 164.796356 217.667831 \nL 162.064049 217.472828 \nL 159.088315 217.039264 \nL 155.851289 216.330103 \nL 152.335162 215.302274 \nL 148.522723 213.906098 \nL 144.39812 212.084822 \nL 139.947856 209.774417 \nL 135.162099 206.903773 \nL 130.036358 203.395516 \nL 124.573584 199.16775 \nL 118.786762 194.137085 \nL 112.702011 188.223349 \nL 106.362159 181.356432 \nL 99.830683 173.485687 \nL 93.195845 164.591984 \nL 86.574552 154.702307 \nL 80.115356 143.905937 \nL 73.999782 132.370355 \nL 68.440855 120.353891 \nL 63.677745 108.210825 \nL 59.965301 96.384161 \nL 57.558195 85.381726 \nL 56.689768 75.733842 \nL 57.547515 67.935064 \nL 60.248351 62.378639 \nL 64.818251 59.297013 \nL 71.180773 58.723942 \nL 79.158215 60.48955 \nL 88.48619 64.251369 \nL 98.839586 69.55331 \nL 109.864867 75.89676 \nL 121.212608 82.80644 \nL 154.270087 103.367463 \nL 173.548528 114.996836 \nL 189.824358 124.481683 \nL 237.067629 151.468416 \nL 241.431749 153.68143 \nL 245.343544 155.290755 \nL 247.195081 155.870691 \nL 249.004555 156.299257 \nL 250.788433 156.574236 \nL 252.560093 156.692898 \nL 254.329992 156.652224 \nL 256.105801 156.449152 \nL 257.892533 156.080834 \nL 259.692622 155.544906 \nL 261.505984 154.839809 \nL 263.330081 153.965082 \nL 265.159955 152.921697 \nL 266.98825 151.712434 \nL 268.805291 150.342258 \nL 270.599132 148.818656 \nL 272.355653 147.152 \nL 274.05872 145.35585 \nL 275.690395 143.447171 \nL 277.231197 141.446482 \nL 278.660445 139.377827 \nL 279.956742 137.268652 \nL 281.098458 135.149429 \nL 282.064349 133.053132 \nL 282.834247 131.014473 \nL 283.389759 129.068983 \nL 283.715017 127.251921 \nL 283.79738 125.597068 \nL 283.628104 124.135548 \nL 283.202878 122.894618 \nL 282.522236 121.896666 \nL 281.591766 121.158409 \nL 280.422138 120.690346 \nL 279.028899 120.496562 \nL 277.432061 120.574839 \nL 275.655512 120.917111 \nL 273.726267 121.510164 \nL 271.673625 122.336507 \nL 269.528247 123.375423 \nL 267.321269 124.603978 \nL 265.083461 125.998027 \nL 262.844443 127.533117 \nL 258.471876 130.93147 \nL 254.396977 134.621801 \nL 250.768681 138.453257 \nL 247.690361 142.303896 \nL 246.378385 144.205505 \nL 245.224617 146.07757 \nL 244.231842 147.911153 \nL 243.401386 149.698168 \nL 242.733382 151.431187 \nL 242.227039 153.103268 \nL 241.880876 154.707808 \nL 241.692929 156.23837 \nL 241.660923 157.688581 \nL 241.782417 159.05202 \nL 242.054921 160.322093 \nL 242.475968 161.49197 \nL 243.043175 162.554485 \nL 243.754256 163.5021 \nL 244.607015 164.326822 \nL 245.599315 165.020183 \nL 246.729006 165.573211 \nL 247.993849 165.976429 \nL 249.391386 166.219885 \nL 250.918798 166.293191 \nL 252.572739 166.185642 \nL 254.349123 165.88633 \nL 256.24291 165.384374 \nL 258.247839 164.66917 \nL 260.356162 163.730741 \nL 262.558344 162.560157 \nL 264.842749 161.150074 \nL 267.195343 159.495358 \nL 269.599369 157.593809 \nL 272.035107 155.446953 \nL 274.479625 153.060905 \nL 276.906644 150.447265 \nL 279.286505 147.623952 \nL 281.586295 144.615973 \nL 283.770104 141.455975 \nL 285.799547 138.184505 \nL 287.6345 134.849862 \nL 289.234082 131.507475 \nL 290.557891 128.218708 \nL 291.567483 125.04903 \nL 292.227952 122.065673 \nL 292.509646 119.334796 \nL 292.389818 116.918369 \nL 291.854134 114.871053 \nL 290.897852 113.237301 \nL 289.526586 112.049096 \nL 287.756557 111.324383 \nL 285.614274 111.06659 \nL 283.135593 111.265073 \nL 280.364308 111.8966 \nL 277.350319 112.927516 \nL 274.147556 114.316439 \nL 270.811795 116.017125 \nL 267.398559 117.981251 \nL 263.961229 120.160798 \nL 260.549464 122.510103 \nL 257.208034 124.987222 \nL 253.975995 127.554797 \nL 250.886294 130.180488 \nL 247.965673 132.836943 \nL 245.234887 135.5015 \nL 242.70911 138.155754 \nL 240.398506 140.784951 \nL 238.308866 143.377405 \nL 236.442308 145.923923 \nL 234.797964 148.417263 \nL 233.372623 150.851661 \nL 232.161343 153.222441 \nL 231.157988 155.525691 \nL 230.355703 157.757972 \nL 229.747319 159.916103 \nL 229.325666 161.996988 \nL 229.083868 163.997455 \nL 229.01554 165.914143 \nL 229.114953 167.743368 \nL 229.377148 169.481044 \nL 229.798019 171.122582 \nL 230.374344 172.662782 \nL 231.103805 174.095739 \nL 231.984977 175.414759 \nL 233.017286 176.612235 \nL 234.200946 177.679552 \nL 235.536887 178.606953 \nL 237.026643 179.383462 \nL 238.672221 179.996746 \nL 240.475938 180.433022 \nL 242.440238 180.676982 \nL 244.567451 180.711728 \nL 246.859522 180.518788 \nL 249.317689 180.078154 \nL 251.942089 179.368426 \nL 254.731318 178.36708 \nL 257.6819 177.050865 \nL 260.787694 175.396431 \nL 264.039224 173.381149 \nL 267.422939 170.984245 \nL 270.920413 168.188241 \nL 274.507536 164.980729 \nL 278.153669 161.356489 \nL 281.820947 157.31993 \nL 285.463655 152.887727 \nL 289.027908 148.091504 \nL 292.45167 142.98031 \nL 295.665298 137.622573 \nL 298.592726 132.107061 \nL 301.153371 126.542449 \nL 303.264885 121.055031 \nL 304.846707 115.784305 \nL 305.824273 110.876397 \nL 306.133718 106.475511 \nL 305.726588 102.714204 \nL 304.574145 99.703487 \nL 302.670751 97.524076 \nL 300.035743 96.2201 \nL 296.713596 95.796251 \nL 292.772071 96.218906 \nL 288.298593 97.42103 \nL 283.395169 99.309966 \nL 278.172455 101.776867 \nL 272.743629 104.706389 \nL 267.218657 107.985254 \nL 261.699509 111.509015 \nL 256.276525 115.186467 \nL 251.026172 118.941923 \nL 246.010015 122.715486 \nL 241.274755 126.462056 \nL 236.853085 130.149443 \nL 232.76512 133.756122 \nL 229.02012 137.26895 \nL 225.61835 140.681027 \nL 222.552911 143.98993 \nL 219.811438 147.196222 \nL 217.377631 150.302369 \nL 215.232563 153.311892 \nL 213.355777 156.228809 \nL 211.726173 159.057256 \nL 210.32271 161.801226 \nL 209.124936 164.464478 \nL 208.113387 167.050433 \nL 207.269851 169.562187 \nL 206.577555 172.002512 \nL 205.587291 176.678436 \nL 205.039518 181.094835 \nL 204.855543 185.264853 \nL 204.979074 189.198802 \nL 205.373687 192.904407 \nL 206.020339 196.386761 \nL 206.915274 199.647894 \nL 208.068462 202.686002 \nL 209.502656 205.494206 \nL 211.253027 208.058775 \nL 212.261197 209.242916 \nL 213.367333 210.356536 \nL 214.579469 211.394672 \nL 215.906519 212.351233 \nL 217.358306 213.218805 \nL 218.945589 213.988414 \nL 220.680087 214.64925 \nL 222.57449 215.188346 \nL 224.64246 215.590208 \nL 226.898592 215.836393 \nL 229.358362 215.905038 \nL 232.038011 215.77032 \nL 234.954364 215.401908 \nL 238.124577 214.764347 \nL 241.565747 213.816476 \nL 245.294395 212.510872 \nL 249.325764 210.793426 \nL 253.672856 208.603158 \nL 258.345222 205.872379 \nL 263.347373 202.527446 \nL 268.676821 198.490363 \nL 274.321635 193.681551 \nL 280.257575 188.024175 \nL 286.444715 181.45042 \nL 292.823764 173.910108 \nL 299.312173 165.381764 \nL 305.800469 155.886103 \nL 312.14933 145.501054 \nL 318.188134 134.376784 \nL 323.716017 122.748032 \nL 328.506471 110.940005 \nL 332.316493 99.363424 \nL 334.900843 88.494619 \nL 336.031266 78.838667 \nL 335.519256 70.877056 \nL 333.239486 65.007025 \nL 329.15 61.484065 \nL 323.304758 60.381763 \nL 315.855055 61.580475 \nL 307.038254 64.789454 \nL 297.155387 69.596859 \nL 286.54168 75.534694 \nL 275.535516 82.142401 \nL 223.913144 114.12234 \nL 200.582914 128.003841 \nL 178.962417 140.838563 \nL 165.090504 149.427317 \nL 157.679622 153.946489 \nL 153.52315 156.180382 \nL 151.583126 157.070939 \nL 149.701104 157.809691 \nL 147.855849 158.394403 \nL 146.029381 158.82186 \nL 144.206767 159.088097 \nL 142.37597 159.188618 \nL 140.52772 159.118639 \nL 138.655413 158.873298 \nL 136.755037 158.447939 \nL 134.825149 157.838399 \nL 132.866852 157.041344 \nL 130.883808 156.054616 \nL 128.882261 154.877669 \nL 126.871045 153.511987 \nL 124.861606 151.961579 \nL 122.867981 150.23343 \nL 120.906749 148.337996 \nL 118.996904 146.289597 \nL 117.159683 144.106809 \nL 115.418278 141.812677 \nL 113.797451 139.4348 \nL 112.323037 137.00517 \nL 111.021308 134.559838 \nL 109.918253 132.138226 \nL 109.038716 129.782208 \nL 108.4055 127.534908 \nL 108.038395 125.439276 \nL 107.953274 123.53649 \nL 108.161195 121.86435 \nL 108.667711 120.4557 \nL 109.472317 119.337073 \nL 110.568171 118.527626 \nL 111.94208 118.038462 \nL 113.574782 117.872474 \nL 115.441515 118.02456 \nL 117.512829 118.482355 \nL 119.755609 119.227281 \nL 122.134184 120.235818 \nL 124.611531 121.480919 \nL 127.15044 122.933407 \nL 129.714579 124.563304 \nL 132.269431 126.340946 \nL 134.78306 128.237856 \nL 137.226643 130.227448 \nL 139.574859 132.285408 \nL 141.806047 134.389927 \nL 143.902226 136.521721 \nL 145.84897 138.663963 \nL 147.635169 140.802051 \nL 149.252728 142.923406 \nL 150.696212 145.01717 \nL 151.962463 147.073927 \nL 153.050215 149.085447 \nL 153.959724 151.044404 \nL 154.692426 152.944162 \nL 155.250611 154.778572 \nL 155.637154 156.541767 \nL 155.855257 158.228014 \nL 155.908264 159.831591 \nL 155.799492 161.346629 \nL 155.532102 162.767032 \nL 155.109017 164.086343 \nL 154.532861 165.297678 \nL 153.805932 166.393635 \nL 152.930219 167.366231 \nL 151.907426 168.206817 \nL 150.739044 168.906046 \nL 149.426435 169.453837 \nL 147.970965 169.839341 \nL 146.37415 170.050967 \nL 144.637828 170.076434 \nL 142.764398 169.902846 \nL 140.757044 169.516848 \nL 138.620036 168.904852 \nL 136.359048 168.05334 \nL 133.981504 166.949264 \nL 131.496966 165.58058 \nL 128.917535 163.9369 \nL 126.25827 162.010293 \nL 123.537613 159.796221 \nL 120.777751 157.294608 \nL 118.004972 154.511022 \nL 115.249891 151.457908 \nL 112.547545 148.155794 \nL 109.937307 144.634378 \nL 107.462564 140.933395 \nL 105.170098 137.103038 \nL 103.109113 133.20382 \nL 101.329959 129.305727 \nL 99.882445 125.486543 \nL 98.813874 121.829254 \nL 98.166837 118.418653 \nL 97.97689 115.337291 \nL 98.270337 112.661041 \nL 99.062217 110.454764 \nL 100.354829 108.768407 \nL 102.136856 107.634155 \nL 104.383298 107.064837 \nL 107.056223 107.053886 \nL 110.106322 107.576756 \nL 113.475143 108.593685 \nL 117.097823 110.053329 \nL 120.906006 111.896839 \nL 124.830776 114.061955 \nL 128.805361 116.486604 \nL 132.767381 119.111895 \nL 136.660616 121.884188 \nL 140.436172 124.756414 \nL 144.053102 127.688581 \nL 147.478558 130.647724 \nL 150.687516 133.607405 \nL 153.662216 136.546983 \nL 156.391385 139.450723 \nL 158.869365 142.306923 \nL 161.095171 145.107064 \nL 163.071577 147.845046 \nL 164.804259 150.516596 \nL 166.300999 153.118705 \nL 167.570993 155.649223 \nL 168.624256 158.106554 \nL 169.47112 160.489378 \nL 170.121819 162.796474 \nL 170.586172 165.02658 \nL 170.873315 167.178255 \nL 170.991524 169.249818 \nL 170.948066 171.23924 \nL 170.749113 173.144081 \nL 170.399687 174.961417 \nL 169.903634 176.687749 \nL 169.263621 178.318951 \nL 168.481157 179.850144 \nL 167.556626 181.275604 \nL 166.489338 182.588663 \nL 165.277593 183.78155 \nL 163.91875 184.845285 \nL 162.409339 185.769514 \nL 160.745143 186.542338 \nL 158.921349 187.150164 \nL 156.932708 187.577536 \nL 154.773719 187.80697 \nL 152.438869 187.818825 \nL 149.922919 187.591173 \nL 147.221258 187.099792 \nL 144.330326 186.318183 \nL 141.248125 185.217766 \nL 137.974829 183.768203 \nL 134.513506 181.938014 \nL 130.870967 179.695439 \nL 127.058708 177.009713 \nL 123.094006 173.852795 \nL 119.001064 170.201578 \nL 114.812215 166.040737 \nL 110.569113 161.36605 \nL 106.323782 156.188246 \nL 102.139407 150.537151 \nL 98.09068 144.465737 \nL 94.263512 138.053672 \nL 90.753809 131.40964 \nL 87.665227 124.671706 \nL 85.105624 118.004876 \nL 83.182218 111.59531 \nL 81.995581 105.640742 \nL 81.632797 100.337692 \nL 82.160367 95.866324 \nL 83.617642 92.374886 \nL 86.011716 89.966033 \nL 89.314562 88.687269 \nL 93.463051 88.52754 \nL 98.362092 89.420494 \nL 103.890581 91.253838 \nL 109.909419 93.883162 \nL 116.270638 97.147561 \nL 122.826432 100.884578 \nL 129.437167 104.942417 \nL 135.977596 109.188503 \nL 142.341041 113.513892 \nL 148.441487 117.834333 \nL 154.213882 122.088684 \nL 159.61305 126.235777 \nL 164.611666 130.250604 \nL 169.197708 134.120458 \nL 173.371725 137.841458 \nL 177.144147 141.415625 \nL 180.532831 144.848631 \nL 183.560894 148.148093 \nL 186.254887 151.322427 \nL 188.643301 154.38007 \nL 190.755389 157.328996 \nL 192.620262 160.176497 \nL 194.266223 162.929055 \nL 197.007954 168.17132 \nL 199.176932 173.092533 \nL 200.94087 177.719766 \nL 203.788261 186.165849 \nL 205.73499 191.838301 \nL 207.095886 195.315218 \nL 208.587215 198.547719 \nL 210.273228 201.528872 \nL 212.218515 204.244184 \nL 213.30949 205.494931 \nL 214.491328 206.668995 \nL 215.773613 207.761097 \nL 217.1665 208.764789 \nL 218.680781 209.672241 \nL 220.327941 210.474017 \nL 222.120201 211.158785 \nL 224.070548 211.713019 \nL 226.192725 212.12063 \nL 228.501207 212.362555 \nL 231.011126 212.416317 \nL 233.738139 212.255527 \nL 236.698233 211.849374 \nL 239.907424 211.162099 \nL 243.381343 210.152488 \nL 247.134673 208.773471 \nL 251.180377 206.971867 \nL 255.528714 204.688392 \nL 260.185967 201.858123 \nL 265.152822 198.411552 \nL 270.422409 194.276566 \nL 275.977889 189.381583 \nL 281.78968 183.660236 \nL 287.812296 177.057901 \nL 293.980956 169.540336 \nL 300.208213 161.104419 \nL 306.380942 151.790678 \nL 312.358293 141.69665 \nL 317.971288 130.989279 \nL 323.025025 119.913785 \nL 327.30432 108.795477 \nL 330.583562 98.030843 \nL 332.641054 88.065038 \nL 333.277319 79.354816 \nL 332.335724 72.319932 \nL 329.722612 67.290163 \nL 325.423512 64.458535 \nL 319.51163 63.85239 \nL 312.146174 65.330609 \nL 303.559841 68.608706 \nL 294.0373 73.305662 \nL 283.888583 79.00051 \nL 273.422056 85.28564 \nL 252.62914 98.28444 \nL 224.674389 115.830071 \nL 196.692187 133.260648 \nL 186.526581 139.800636 \nL 178.397629 145.269683 \nL 169.050548 151.916402 \nL 161.92657 157.052491 \nL 157.871668 159.724136 \nL 154.081739 161.799588 \nL 152.225498 162.606878 \nL 150.368885 163.254302 \nL 148.495788 163.735867 \nL 146.592735 164.044696 \nL 144.648799 164.173218 \nL 142.655519 164.113337 \nL 140.606876 163.856635 \nL 138.499316 163.394653 \nL 136.331788 162.719168 \nL 134.105851 161.82259 \nL 131.825794 160.698403 \nL 129.498759 159.341676 \nL 127.134918 157.749699 \nL 124.747624 155.922615 \nL 122.353528 153.864195 \nL 119.972678 151.582591 \nL 117.628519 149.091127 \nL 115.347845 146.409001 \nL 113.160534 143.561884 \nL 111.099235 140.582322 \nL 109.198767 137.509856 \nL 107.495371 134.390728 \nL 106.025731 131.277221 \nL 104.825794 128.226418 \nL 103.929433 125.298508 \nL 103.366964 122.554615 \nL 103.163648 120.054273 \nL 103.338263 117.852687 \nL 103.901812 115.998089 \nL 104.856555 114.529285 \nL 106.195427 113.473789 \nL 107.901896 112.846629 \nL 109.950332 112.64997 \nL 112.306887 112.873699 \nL 114.93077 113.496612 \nL 117.77589 114.488432 \nL 120.792699 115.812075 \nL 123.930078 117.426091 \nL 127.137201 119.287094 \nL 130.365156 121.351826 \nL 133.56834 123.578879 \nL 136.705517 125.929941 \nL 139.74051 128.370607 \nL 142.642602 130.870754 \nL 145.386612 133.404572 \nL 147.95275 135.950399 \nL 150.32626 138.490307 \nL 152.496944 141.00966 \nL 154.458597 143.496595 \nL 156.2084 145.941543 \nL 157.746313 148.336742 \nL 159.074493 150.67583 \nL 160.196753 152.953476 \nL 161.118064 155.165074 \nL 161.844127 157.306506 \nL 162.381006 159.37389 \nL 162.734811 161.36344 \nL 162.911461 163.2713 \nL 162.916468 165.093395 \nL 162.754796 166.825357 \nL 162.430753 168.462384 \nL 161.947907 169.999154 \nL 161.309072 171.429723 \nL 160.51628 172.747439 \nL 159.570808 173.944829 \nL 158.473226 175.013511 \nL 157.223473 175.944077 \nL 155.820937 176.726027 \nL 154.264594 177.347643 \nL 152.55315 177.795937 \nL 150.685229 178.056595 \nL 148.659593 178.113918 \nL 146.475398 177.95088 \nL 144.132503 177.54918 \nL 141.631837 176.889414 \nL 138.97581 175.951335 \nL 136.168791 174.714268 \nL 133.21765 173.157702 \nL 130.132358 171.262055 \nL 126.926652 169.009714 \nL 123.618718 166.386334 \nL 120.2319 163.382414 \nL 116.795389 159.995157 \nL 113.344842 156.230557 \nL 109.922834 152.105648 \nL 106.57909 147.650741 \nL 103.370396 142.911457 \nL 100.360054 137.95026 \nL 97.61681 132.847178 \nL 95.213113 127.699301 \nL 93.222745 122.618786 \nL 91.717738 117.72907 \nL 90.76475 113.159364 \nL 90.421081 109.037526 \nL 90.730671 105.481952 \nL 91.720382 102.593333 \nL 93.3971 100.447185 \nL 95.745985 99.088335 \nL 98.730209 98.528092 \nL 102.292256 98.744588 \nL 106.356819 99.686275 \nL 110.834909 101.277929 \nL 115.62878 103.428171 \nL 120.637161 106.037572 \nL 125.760258 109.006054 \nL 130.904096 112.239034 \nL 135.983928 115.651801 \nL 140.926541 119.172014 \nL 145.671504 122.740621 \nL 150.171461 126.311453 \nL 154.391658 129.850021 \nL 158.308923 133.331787 \nL 161.910285 136.740307 \nL 165.191415 140.065423 \nL 168.155037 143.301643 \nL 170.8094 146.446792 \nL 173.166878 149.500947 \nL 175.242732 152.465591 \nL 177.054056 155.343029 \nL 178.618902 158.135928 \nL 179.955569 160.847078 \nL 181.082051 163.479191 \nL 182.015607 166.034775 \nL 182.772464 168.516115 \nL 183.367592 170.925225 \nL 183.814569 173.263835 \nL 184.125504 175.533413 \nL 184.380171 179.87005 \nL 184.198644 183.941688 \nL 183.625221 187.75062 \nL 182.683187 191.294369 \nL 181.376631 194.564632 \nL 180.583079 196.09261 \nL 179.692016 197.545558 \nL 178.699186 198.919914 \nL 177.599355 200.211271 \nL 176.386331 201.414248 \nL 175.052971 202.52232 \nL 173.591195 203.527641 \nL 171.992007 204.42082 \nL 170.24551 205.190673 \nL 168.340951 205.823948 \nL 166.266767 206.304992 \nL 164.010671 206.615417 \nL 161.559767 206.733703 \nL 158.90072 206.634803 \nL 156.020005 206.289704 \nL 152.904208 205.665051 \nL 149.540478 204.722772 \nL 145.917082 203.419828 \nL 142.024157 201.708135 \nL 137.854657 199.534759 \nL 133.405535 196.842508 \nL 128.679213 193.571137 \nL 123.685359 189.659308 \nL 118.442993 185.047615 \nL 112.982885 179.682868 \nL 107.350184 173.523897 \nL 101.607232 166.548971 \nL 95.836185 158.764819 \nL 90.141303 150.216833 \nL 84.650242 140.999536 \nL 79.513912 131.265989 \nL 74.90415 121.233915 \nL 71.00854 111.185943 \nL 68.021857 101.461367 \nL 66.134054 92.437352 \nL 65.515303 84.499212 \nL 66.299299 78.00226 \nL 68.567141 73.230318 \nL 72.334281 70.358996 \nL 77.543426 69.431859 \nL 84.065263 70.355909 \nL 91.707617 72.918111 \nL 100.231837 76.819138 \nL 109.373712 81.716232 \nL 118.865354 87.265748 \nL 128.454774 93.157272 \nL 147.081446 105.006997 \nL 171.554972 120.92819 \nL 184.83789 129.795181 \nL 195.70759 137.367808 \nL 204.454259 143.868061 \nL 211.464314 149.50348 \nL 217.138244 154.429512 \nL 229.614129 165.733306 \nL 233.166561 168.409684 \nL 234.945599 169.532123 \nL 236.752442 170.502578 \nL 238.603807 171.313296 \nL 240.514399 171.955254 \nL 242.497011 172.418183 \nL 244.562555 172.690611 \nL 246.720096 172.759942 \nL 248.976771 172.612538 \nL 251.337704 172.233891 \nL 253.805831 171.608872 \nL 256.38168 170.722051 \nL 259.063083 169.558127 \nL 261.844842 168.102535 \nL 264.718333 166.342189 \nL 267.67109 164.266395 \nL 270.686359 161.867981 \nL 273.742663 159.144575 \nL 276.81341 156.100058 \nL 279.866588 152.746122 \nL 282.86461 149.103852 \nL 285.764357 145.205188 \nL 288.517523 141.094113 \nL 291.07128 136.827395 \nL 293.369392 132.474595 \nL 295.353754 128.117172 \nL 296.966383 123.846497 \nL 298.15187 119.760727 \nL 298.860124 115.960477 \nL 299.04925 112.54365 \nL 298.688404 109.599799 \nL 297.760286 107.204489 \nL 296.263041 105.414369 \nL 294.211279 104.26364 \nL 291.636131 103.762246 \nL 288.58414 103.896217 \nL 285.115205 104.62992 \nL 281.299598 105.909946 \nL 277.21451 107.670181 \nL 272.94031 109.837139 \nL 268.556932 112.335154 \nL 264.140648 115.090807 \nL 259.761465 118.036262 \nL 255.481228 121.111526 \nL 251.352445 124.265536 \nL 247.417815 127.456374 \nL 243.710328 130.650786 \nL 240.253817 133.823262 \nL 237.063829 136.954884 \nL 234.148674 140.032152 \nL 231.510586 143.045795 \nL 229.146852 145.989782 \nL 227.050926 148.860447 \nL 225.213415 151.655769 \nL 223.622971 154.374834 \nL 222.267046 157.017412 \nL 221.132533 159.583657 \nL 220.206286 162.073876 \nL 219.47553 164.48835 \nL 218.928183 166.827259 \nL 218.553096 169.090576 \nL 218.340225 171.278004 \nL 218.280742 173.388936 \nL 218.367113 175.42241 \nL 218.593132 177.377051 \nL 218.95393 179.251035 \nL 219.445966 181.042016 \nL 220.066996 182.747069 \nL 220.816046 184.362604 \nL 221.69336 185.88427 \nL 222.700357 187.306864 \nL 223.839572 188.624179 \nL 225.1146 189.828887 \nL 226.530027 190.912367 \nL 228.091354 191.864531 \nL 229.804911 192.673625 \nL 231.677751 193.326022 \nL 233.717514 193.805987 \nL 235.932276 194.095452 \nL 238.330341 194.173772 \nL 240.919989 194.017532 \nL 243.709148 193.600352 \nL 246.705003 192.892782 \nL 249.913489 191.862301 \nL 253.338673 190.473476 \nL 256.982009 188.688342 \nL 260.841417 186.467114 \nL 264.910225 183.769269 \nL 269.175905 180.555215 \nL 273.618668 176.788569 \nL 278.209928 172.439164 \nL 282.910641 167.486948 \nL 287.669721 161.926651 \nL 292.422587 155.773207 \nL 297.090087 149.067554 \nL 301.578069 141.882349 \nL 305.777913 134.326736 \nL 309.568359 126.549178 \nL 312.818954 118.737035 \nL 315.395328 111.111742 \nL 317.166345 103.918682 \nL 318.012768 97.411563 \nL 317.836942 91.832452 \nL 316.572311 87.389383 \nL 314.191591 84.235176 \nL 310.712259 82.451146 \nL 306.198113 82.039015 \nL 300.756462 82.922927 \nL 294.531006 84.961305 \nL 287.691319 87.966001 \nL 280.420499 91.725005 \nL 272.902592 96.024415 \nL 265.311471 100.666393 \nL 257.80216 105.481252 \nL 250.505221 110.333399 \nL 243.524109 115.121921 \nL 236.935057 119.777614 \nL 230.788886 124.257749 \nL 225.114002 128.540237 \nL 219.919995 132.617948 \nL 215.201372 136.49384 \nL 210.941097 140.17704 \nL 207.113754 143.679949 \nL 203.688238 147.016187 \nL 200.629969 150.199263 \nL 197.90264 153.241768 \nL 195.469557 156.154932 \nL 191.343068 161.630615 \nL 187.979971 166.686311 \nL 183.853065 173.562831 \nL 180.248972 179.640897 \nL 177.876081 183.249751 \nL 175.377026 186.486261 \nL 174.044831 187.955884 \nL 172.639963 189.319647 \nL 171.149801 190.571042 \nL 169.562009 191.70224 \nL 167.864438 192.703923 \nL 166.045063 193.565103 \nL 164.091937 194.272899 \nL 161.993191 194.812319 \nL 159.737084 195.16601 \nL 157.312084 195.314024 \nL 154.707025 195.233575 \nL 151.911337 194.898835 \nL 148.915361 194.280771 \nL 145.71077 193.347088 \nL 142.291107 192.062311 \nL 138.652463 190.388056 \nL 134.794342 188.283614 \nL 130.720654 185.706921 \nL 126.440953 182.616015 \nL 121.971804 178.971152 \nL 117.338359 174.737654 \nL 112.576039 169.889644 \nL 107.732252 164.414678 \nL 102.867987 158.319179 \nL 98.059153 151.634506 \nL 93.39733 144.423152 \nL 88.989634 136.784324 \nL 84.957372 128.85786 \nL 81.433067 120.825229 \nL 78.5556 112.906211 \nL 76.463354 105.350147 \nL 75.285537 98.421294 \nL 75.132228 92.378827 \nL 76.08409 87.453571 \nL 78.183108 83.824512 \nL 81.425735 81.599438 \nL 85.759871 80.803389 \nL 91.086407 81.377688 \nL 97.265557 83.189846 \nL 104.127079 86.052298 \nL 111.483027 89.746125 \nL 119.141157 94.045176 \nL 126.917244 98.73652 \nL 134.644941 103.634961 \nL 142.182496 108.590734 \nL 156.26115 118.258404 \nL 168.577321 127.220586 \nL 174.001619 131.380864 \nL 178.935514 135.326744 \nL 183.394898 139.067735 \nL 187.40494 142.617118 \nL 190.99716 145.989629 \nL 194.207034 149.199955 \nL 197.072082 152.261803 \nL 199.630411 155.187394 \nL 203.97606 160.670335 \nL 207.526748 165.713442 \nL 211.900736 172.538167 \nL 215.739736 178.523465 \nL 218.275507 182.043414 \nL 220.949561 185.164034 \nL 222.375289 186.563652 \nL 223.878336 187.848096 \nL 225.471682 189.00976 \nL 227.167916 190.039567 \nL 228.97932 190.92684 \nL 230.917915 191.659088 \nL 232.995477 192.221809 \nL 235.223501 192.598272 \nL 237.61312 192.769318 \nL 240.174956 192.713152 \nL 242.918908 192.405171 \nL 245.853845 191.81787 \nL 248.987213 190.920819 \nL 252.324518 189.680784 \nL 255.868675 188.062051 \nL 259.619212 186.027042 \nL 263.571322 183.537276 \nL 267.714746 180.554789 \nL 272.032479 177.04417 \nL 276.499368 172.975236 \nL 281.080599 168.326494 \nL 285.730171 163.089337 \nL 290.389512 157.272979 \nL 294.986388 150.909819 \nL 299.434322 144.060864 \nL 303.632856 136.820486 \nL 307.468928 129.319655 \nL 310.819698 121.72649 \nL 313.557011 114.24304 \nL 315.55364 107.097349 \nL 316.691058 100.530427 \nL 316.868309 94.778742 \nL 316.011121 90.053812 \nL 314.080138 86.521709 \nL 311.07702 84.285991 \nL 307.047279 83.377123 \nL 302.079107 83.750874 \nL 296.298092 85.296062 \nL 289.858418 87.850094 \nL 282.931741 91.219159 \nL 275.695291 95.199334 \nL 268.32074 99.595034 \nL 260.965022 104.232731 \nL 253.763803 108.968834 \nL 246.827837 113.692383 \nL 240.241845 118.323641 \nL 234.065481 122.810063 \nL 228.335684 127.12108 \nL 223.069866 131.242705 \nL 218.269391 135.172636 \nL 213.923029 138.916178 \nL 210.010124 142.483078 \nL 206.503367 145.885244 \nL 203.371115 149.13517 \nL 200.579263 152.244933 \nL 198.092721 155.22562 \nL 195.876516 158.087049 \nL 192.120405 163.484607 \nL 189.058265 168.489795 \nL 185.291412 175.332754 \nL 181.984363 181.424288 \nL 179.795672 185.070404 \nL 177.481269 188.37083 \nL 176.243999 189.884022 \nL 174.936842 191.300177 \nL 173.547809 192.613748 \nL 172.065075 193.817991 \nL 170.476875 194.904823 \nL 168.771418 195.864599 \nL 166.936835 196.68594 \nL 164.961146 197.355468 \nL 162.832274 197.857565 \nL 160.538092 198.174088 \nL 158.066533 198.284097 \nL 155.405747 198.163563 \nL 152.544343 197.785125 \nL 149.471723 197.117862 \nL 146.178526 196.127194 \nL 142.657201 194.77489 \nL 138.902737 193.019316 \nL 134.913576 190.815982 \nL 130.692704 188.118512 \nL 126.248999 184.880168 \nL 121.598753 181.05608 \nL 116.767401 176.606359 \nL 111.791429 171.500172 \nL 106.720347 165.720888 \nL 101.618533 159.272252 \nL 96.566842 152.185308 \nL 91.663578 144.525584 \nL 87.024495 136.399656 \nL 82.781409 127.959943 \nL 79.078994 119.406072 \nL 76.069357 110.98125 \nL 73.904311 102.962274 \nL 72.725497 95.642459 \nL 72.653011 89.308322 \nL 73.77365 84.212353 \nL 76.130374 80.545852 \nL 79.714731 78.417001 \nL 84.463789 77.838625 \nL 90.26254 78.728798 \nL 96.951753 80.92426 \nL 104.340278 84.203841 \nL 112.219912 88.316827 \nL 120.380666 93.010678 \nL 128.624379 98.053513 \nL 136.775168 103.249048 \nL 152.242234 113.525047 \nL 165.986469 123.088333 \nL 177.670829 131.681216 \nL 182.731243 135.613151 \nL 187.295532 139.31966 \nL 191.394448 142.818194 \nL 195.064539 146.126687 \nL 198.34571 149.262182 \nL 201.279313 152.240038 \nL 206.268342 157.773878 \nL 210.34673 162.809352 \nL 215.363789 169.531918 \nL 219.747689 175.311253 \nL 222.62708 178.62993 \nL 224.11103 180.119323 \nL 225.64662 181.488484 \nL 227.249055 182.730677 \nL 228.932603 183.837815 \nL 230.710715 184.80033 \nL 232.596108 185.607065 \nL 234.60082 186.2451 \nL 236.736207 186.699627 \nL 239.012898 186.953804 \nL 241.440694 186.988619 \nL 244.028392 186.782826 \nL 246.783549 186.312895 \nL 249.712139 185.553103 \nL 252.818132 184.475688 \nL 256.102963 183.051234 \nL 259.564872 181.24925 \nL 263.198141 179.03905 \nL 266.992181 176.391022 \nL 270.93055 173.278317 \nL 274.989841 169.679024 \nL 279.13856 165.578925 \nL 283.33599 160.974738 \nL 287.53123 155.877847 \nL 291.662449 150.318258 \nL 295.656594 144.348482 \nL 299.429741 138.046943 \nL 302.888279 131.520106 \nL 305.931168 124.902795 \nL 308.453382 118.35577 \nL 310.350586 112.060064 \nL 311.524979 106.207859 \nL 311.891885 100.990131 \nL 311.386587 96.582133 \nL 309.970632 93.128513 \nL 307.636801 90.730132 \nL 304.411865 89.43489 \nL 300.356603 89.234224 \nL 295.562878 90.066076 \nL 290.147965 91.823684 \nL 284.246886 94.368624 \nL 278.003639 97.545705 \nL 271.562486 101.197382 \nL 265.060178 105.175681 \nL 258.619837 109.350517 \nL 252.346806 113.614293 \nL 246.3265 117.883135 \nL 240.623998 122.095533 \nL 235.284978 126.209516 \nL 230.337614 130.199013 \nL 225.795 134.050189 \nL 221.657778 137.758063 \nL 217.916739 141.323667 \nL 214.555224 144.751803 \nL 211.551251 148.049388 \nL 208.879324 151.22426 \nL 206.511911 154.284394 \nL 204.420619 157.237431 \nL 202.577107 160.090407 \nL 200.953758 162.849626 \nL 198.263401 168.108343 \nL 196.15745 173.049949 \nL 194.471835 177.701693 \nL 192.440006 184.179174 \nL 189.54549 193.750034 \nL 188.337496 197.172183 \nL 187.007569 200.365741 \nL 185.498579 203.326881 \nL 183.752498 206.045536 \nL 181.707334 208.50326 \nL 180.551454 209.625469 \nL 179.294368 210.670095 \nL 177.926019 211.630874 \nL 176.435643 212.500189 \nL 174.811696 213.268826 \nL 173.041816 213.925688 \nL 171.1128 214.457479 \nL 169.010579 214.84833 \nL 166.720255 215.079377 \nL 164.226149 215.128281 \nL 161.511924 214.968711 \nL 158.560756 214.569783 \nL 155.355614 213.895471 \nL 151.879661 212.904039 \nL 148.116788 211.547538 \nL 144.052355 209.771419 \nL 139.674165 207.514425 \nL 134.973742 204.708865 \nL 129.947936 201.281505 \nL 124.600935 197.155338 \nL 118.946736 192.252577 \nL 113.012053 186.499208 \nL 106.839645 179.831542 \nL 100.492017 172.205064 \nL 94.055147 163.605682 \nL 87.641974 154.063164 \nL 81.395057 143.665902 \nL 75.487565 132.575227 \nL 70.121702 121.03654 \nL 65.523486 109.383473 \nL 61.932969 98.030775 \nL 59.589469 87.452343 \nL 58.712139 78.142628 \nL 59.477518 70.564098 \nL 61.996897 65.087964 \nL 66.297645 61.940188 \nL 72.312376 61.166161 \nL 79.87947 62.624338 \nL 88.755718 66.011996 \nL 98.639366 70.916459 \nL 109.199342 76.878686 \nL 120.105177 83.453558 \nL 170.886344 114.983241 \nL 193.722432 128.693023 \nL 210.433271 138.750982 \nL 222.377124 146.226321 \nL 235.756216 154.768986 \nL 239.876081 157.072798 \nL 241.807938 157.998477 \nL 243.688221 158.771787 \nL 245.538011 159.389958 \nL 247.375216 159.849237 \nL 249.214763 160.145068 \nL 251.068736 160.27231 \nL 252.946506 160.225453 \nL 254.854811 159.998858 \nL 256.797816 159.587009 \nL 258.777129 158.984795 \nL 260.791785 158.187877 \nL 262.838237 157.193029 \nL 264.910286 155.99859 \nL 266.999045 154.604951 \nL 269.092915 153.015037 \nL 271.177537 151.234853 \nL 273.235833 149.27402 \nL 275.248076 147.14626 \nL 277.192069 144.869851 \nL 279.043364 142.467931 \nL 280.775683 139.968663 \nL 282.361381 137.405156 \nL 283.772112 134.815158 \nL 284.979587 132.240393 \nL 285.956487 129.725611 \nL 286.677444 127.317337 \nL 287.120101 125.062284 \nL 287.266161 123.005646 \nL 287.102364 121.189241 \nL 286.621346 119.649724 \nL 285.822271 118.41699 \nL 284.711225 117.512915 \nL 283.301268 116.950557 \nL 281.612184 116.733822 \nL 279.669892 116.857763 \nL 277.505559 117.309263 \nL 275.15452 118.068279 \nL 272.654992 119.109234 \nL 270.046784 120.402625 \nL 267.369974 121.916615 \nL 264.66369 123.618546 \nL 261.965106 125.476189 \nL 259.308549 127.458762 \nL 256.724916 129.537652 \nL 254.241248 131.686879 \nL 251.880559 133.883322 \nL 249.661821 136.106716 \nL 247.600111 138.339542 \nL 245.706895 140.566783 \nL 243.990352 142.775643 \nL 242.455795 144.955225 \nL 241.106089 147.096213 \nL 239.942074 149.190548 \nL 238.962979 151.23116 \nL 238.166812 153.211721 \nL 237.550697 155.126413 \nL 237.111181 156.969719 \nL 236.844512 158.736282 \nL 236.746838 160.420721 \nL 236.814398 162.017534 \nL 237.043652 163.520965 \nL 237.431386 164.924891 \nL 237.974774 166.222734 \nL 238.671405 167.407382 \nL 239.519291 168.471092 \nL 240.516839 169.405418 \nL 241.662781 170.201151 \nL 242.956105 170.848252 \nL 244.395927 171.335838 \nL 245.981353 171.652139 \nL 247.711304 171.784523 \nL 249.584301 171.719568 \nL 251.598222 171.443131 \nL 253.750016 170.94056 \nL 256.035395 170.19693 \nL 258.448447 169.197391 \nL 260.981257 167.927659 \nL 263.623459 166.374624 \nL 266.361792 164.527131 \nL 269.179613 162.376906 \nL 272.056437 159.919642 \nL 274.967516 157.156296 \nL 277.883467 154.094397 \nL 280.770051 150.749502 \nL 283.588072 147.146576 \nL 286.293552 143.321157 \nL 288.838184 139.320257 \nL 291.170099 135.202675 \nL 293.235107 131.03861 \nL 294.978259 126.908396 \nL 296.345893 122.900204 \nL 297.287948 119.106692 \nL 297.760569 115.62079 \nL 297.728697 112.530788 \nL 297.168542 109.915212 \nL 296.069646 107.83796 \nL 294.436278 106.344354 \nL 292.288018 105.458497 \nL 289.6594 105.182316 \nL 286.598591 105.496468 \nL 283.165167 106.36293 \nL 279.427279 107.728808 \nL 275.458348 109.530971 \nL 271.333726 111.700863 \nL 267.127477 114.168924 \nL 262.909605 116.868373 \nL 258.743859 119.737929 \nL 254.686157 122.72358 \nL 250.783686 125.779415 \nL 247.074602 128.867702 \nL 243.588199 131.958361 \nL 240.345484 135.028157 \nL 237.36 138.059668 \nL 234.63881 141.040219 \nL 232.183535 143.960889 \nL 229.991406 146.815622 \nL 228.056246 149.60047 \nL 226.369379 152.312951 \nL 224.920415 154.951606 \nL 223.697949 157.515582 \nL 222.690127 160.004376 \nL 221.885121 162.417614 \nL 221.271497 164.754902 \nL 220.838513 167.015712 \nL 220.576332 169.199302 \nL 220.476175 171.304639 \nL 220.530441 173.330334 \nL 220.732755 175.274588 \nL 221.078015 177.13513 \nL 221.562389 178.909156 \nL 222.18331 180.593237 \nL 222.939443 182.183261 \nL 223.830652 183.674317 \nL 224.857944 185.060579 \nL 226.023419 186.33519 \nL 227.330193 187.490124 \nL 228.782329 188.516025 \nL 230.384745 189.402035 \nL 232.143101 190.135597 \nL 234.06368 190.702275 \nL 236.153225 191.085545 \nL 238.418745 191.266595 \nL 240.867277 191.224147 \nL 243.505595 190.934311 \nL 246.339839 190.370495 \nL 249.375063 189.503401 \nL 252.614686 188.301183 \nL 256.059828 186.72976 \nL 259.708496 184.753447 \nL 263.554666 182.33586 \nL 267.58718 179.441331 \nL 271.788518 176.036828 \nL 276.133458 172.094487 \nL 280.587636 167.594872 \nL 285.106172 162.530894 \nL 289.632332 156.912405 \nL 294.096562 150.771123 \nL 298.415981 144.165624 \nL 302.494664 137.185666 \nL 306.224967 129.955114 \nL 309.490157 122.632415 \nL 312.168599 115.40762 \nL 314.139515 108.495125 \nL 315.290195 102.121841 \nL 315.524173 96.511241 \nL 314.769689 91.864708 \nL 312.987348 88.34272 \nL 310.175909 86.048835 \nL 306.375158 85.019472 \nL 301.665089 85.221588 \nL 296.161402 86.55886 \nL 290.00762 88.885172 \nL 283.364997 92.022645 \nL 276.401537 95.78095 \nL 269.281482 99.974738 \nL 262.156508 104.436929 \nL 255.159249 109.026933 \nL 248.399434 113.633961 \nL 241.962442 118.176425 \nL 235.90982 122.598769 \nL 230.281252 126.866894 \nL 225.097352 130.96324 \nL 220.36287 134.882203 \nL 216.06993 138.626222 \nL 212.201048 142.202675 \nL 208.73182 145.621592 \nL 205.633206 148.894017 \nL 202.873389 152.03097 \nL 200.419266 155.042796 \nL 198.237577 157.938817 \nL 196.295745 160.727205 \nL 193.008101 166.008012 \nL 190.327107 170.928619 \nL 187.018297 177.694461 \nL 184.092824 183.764825 \nL 182.143413 187.430661 \nL 180.071398 190.782792 \nL 177.782791 193.802443 \nL 176.529352 195.178364 \nL 175.188487 196.45822 \nL 173.749135 197.635499 \nL 172.200063 198.702356 \nL 170.529796 199.649403 \nL 168.726569 200.465499 \nL 166.778297 201.137483 \nL 164.672579 201.649887 \nL 162.396743 201.984636 \nL 159.937932 202.12071 \nL 157.283265 202.033809 \nL 154.420048 201.696016 \nL 151.336097 201.075499 \nL 148.020145 200.136268 \nL 144.462416 198.838071 \nL 140.655344 197.136464 \nL 136.594481 194.983186 \nL 132.279621 192.326927 \nL 127.716188 189.114682 \nL 122.916862 185.2938 \nL 117.903471 180.815038 \nL 112.709113 175.636663 \nL 107.380424 169.729856 \nL 101.979885 163.085389 \nL 96.587896 155.721488 \nL 91.30438 147.692354 \nL 86.249447 139.096537 \nL 81.562647 130.083899 \nL 77.400223 120.859293 \nL 73.929962 111.680957 \nL 71.323233 102.851655 \nL 69.744269 94.701215 \nL 69.337269 87.560864 \nL 70.212508 81.731379 \nL 72.433238 77.449744 \nL 76.00552 74.86042 \nL 80.873042 73.997403 \nL 86.918428 74.781613 \nL 93.971191 77.034679 \nL 101.821496 80.505886 \nL 110.237458 84.906447 \nL 118.983266 89.943619 \nL 127.835525 95.348742 \nL 145.099382 106.409395 \nL 160.857949 116.884663 \nL 174.501272 126.267905 \nL 185.875642 134.490618 \nL 190.749329 138.20372 \nL 195.124553 141.680471 \nL 199.04258 144.943156 \nL 205.686558 150.906313 \nL 211.043983 156.227189 \nL 215.458664 160.996844 \nL 224.264086 170.782426 \nL 227.495724 173.851046 \nL 229.14011 175.191892 \nL 230.827915 176.395747 \nL 232.575418 177.454936 \nL 234.397477 178.360367 \nL 236.307637 179.101482 \nL 238.318178 179.666177 \nL 240.440154 180.040764 \nL 242.683352 180.209891 \nL 245.056203 180.15656 \nL 247.565626 179.862152 \nL 250.216804 179.306549 \nL 253.012886 178.468326 \nL 255.9546 177.325136 \nL 259.039784 175.854191 \nL 262.262851 174.033001 \nL 265.614119 171.840362 \nL 269.079147 169.257639 \nL 272.637952 166.270367 \nL 276.264257 162.87018 \nL 279.924762 159.057094 \nL 283.578511 154.842027 \nL 287.176452 150.24943 \nL 290.661338 145.319858 \nL 293.968031 140.11217 \nL 297.024366 134.704931 \nL 299.752715 129.196694 \nL 302.072342 123.704628 \nL 303.902529 118.361168 \nL 305.166471 113.3085 \nL 305.795718 108.691016 \nL 305.734839 104.64621 \nL 304.945947 101.294918 \nL 303.41247 98.732017 \nL 301.141794 97.018946 \nL 298.166228 96.179247 \nL 294.542115 96.197738 \nL 290.347098 97.023654 \nL 285.675751 98.576996 \nL 280.634058 100.757175 \nL 275.333434 103.45258 \nL 269.884795 106.54961 \nL 264.393366 109.940287 \nL 258.95453 113.527742 \nL 253.650937 117.229433 \nL 248.550904 120.978382 \nL 243.707965 124.722768 \nL 239.16133 128.424475 \nL 234.937049 132.057014 \nL 231.049572 135.603266 \nL 227.503535 139.053322 \nL 224.295592 142.40254 \nL 221.416167 145.64995 \nL 218.851045 148.796976 \nL 216.582776 151.846508 \nL 214.591869 154.802197 \nL 212.857767 157.667992 \nL 211.359637 160.447851 \nL 210.076977 163.145534 \nL 208.990074 165.76453 \nL 208.080333 168.308003 \nL 207.330503 170.778793 \nL 206.249043 175.512176 \nL 205.638204 179.98171 \nL 205.415108 184.200718 \nL 205.519849 188.179459 \nL 205.913131 191.925444 \nL 206.573818 195.443317 \nL 207.496801 198.734433 \nL 208.691383 201.796012 \nL 210.180256 204.619828 \nL 211.999058 207.190265 \nL 213.046873 208.372909 \nL 214.196465 209.481562 \nL 215.45604 210.51078 \nL 216.834693 211.453922 \nL 218.342439 212.302926 \nL 219.990233 213.04807 \nL 221.789979 213.677682 \nL 223.754541 214.177797 \nL 225.897713 214.531782 \nL 228.234181 214.719895 \nL 230.779428 214.718803 \nL 233.549598 214.501061 \nL 236.561274 214.034538 \nL 239.831172 213.28185 \nL 243.375693 212.199803 \nL 247.210339 210.738931 \nL 251.348898 208.843194 \nL 255.802398 206.449953 \nL 260.577755 203.490413 \nL 265.676056 199.89074 \nL 271.090439 195.574128 \nL 276.803541 190.46418 \nL 282.784478 184.489948 \nL 288.985417 177.593027 \nL 295.337941 169.736977 \nL 301.749336 160.919095 \nL 308.099362 151.184149 \nL 314.238013 140.638996 \nL 319.98517 129.466121 \nL 325.133092 117.933029 \nL 329.452771 106.393634 \nL 332.704936 95.277424 \nL 334.65607 85.063225 \nL 335.098542 76.237027 \nL 333.873161 69.237436 \nL 330.890853 64.397519 \nL 326.149334 61.89536 \nL 319.740988 61.726233 \nL 311.849133 63.704875 \nL 302.732511 67.498353 \nL 292.700496 72.681163 \nL 282.083564 78.798257 \nL 271.204467 85.421419 \nL 221.311981 116.426101 \nL 178.684123 142.315469 \nL 168.312546 149.019306 \nL 158.369595 155.442347 \nL 154.306744 157.723763 \nL 152.390544 158.638234 \nL 150.518409 159.399639 \nL 148.669956 160.004752 \nL 146.827889 160.449369 \nL 144.977838 160.72851 \nL 143.108209 160.836613 \nL 141.210078 160.767768 \nL 139.277125 160.515937 \nL 137.305585 160.0752 \nL 135.294246 159.440074 \nL 133.244473 158.605876 \nL 131.160246 157.569075 \nL 129.048234 156.327795 \nL 126.917842 154.882258 \nL 124.781274 153.235363 \nL 122.653556 151.393234 \nL 120.552531 149.365782 \nL 118.498777 147.167224 \nL 116.515442 144.816571 \nL 114.627991 142.337943 \nL 112.863808 139.760738 \nL 111.251662 137.119559 \nL 109.821042 134.453859 \nL 108.601346 131.807238 \nL 107.620906 129.226434 \nL 106.905949 126.759943 \nL 106.479504 124.456344 \nL 106.360267 122.36246 \nL 106.561598 120.521406 \nL 107.090616 118.970674 \nL 107.947559 117.740499 \nL 109.125392 116.85256 \nL 110.609789 116.319149 \nL 112.379442 116.142943 \nL 114.406724 116.317392 \nL 116.658622 116.827502 \nL 119.097968 117.651184 \nL 121.684754 118.760847 \nL 124.377546 120.125071 \nL 127.134841 121.710328 \nL 129.916324 123.482503 \nL 132.683931 125.408223 \nL 135.4027 127.455863 \nL 138.041389 129.596245 \nL 140.572847 131.803093 \nL 142.974169 134.053165 \nL 145.22666 136.326265 \nL 147.315649 138.605054 \nL 149.230191 140.874776 \nL 150.962667 143.122947 \nL 152.508364 145.338997 \nL 153.865026 147.513947 \nL 155.032398 149.640078 \nL 156.011795 151.710626 \nL 156.805725 153.719554 \nL 157.417511 155.6613 \nL 157.850997 157.530593 \nL 158.110273 159.322273 \nL 158.199458 161.031156 \nL 158.122528 162.651893 \nL 157.883164 164.178864 \nL 157.484677 165.606055 \nL 156.929931 166.926978 \nL 156.221313 168.134569 \nL 155.360751 169.221118 \nL 154.349722 170.178175 \nL 153.189331 170.996475 \nL 151.880385 171.665904 \nL 150.423512 172.175418 \nL 148.819319 172.513049 \nL 147.068551 172.665895 \nL 145.172317 172.620163 \nL 143.132331 172.36127 \nL 140.951208 171.874 \nL 138.632788 171.142745 \nL 136.182505 170.151855 \nL 133.607813 168.886114 \nL 130.918614 167.331348 \nL 128.127777 165.475197 \nL 125.251589 163.308102 \nL 122.310286 160.824391 \nL 119.328521 158.023628 \nL 116.335762 154.91204 \nL 113.36657 151.504007 \nL 110.460732 147.823604 \nL 107.663168 143.905895 \nL 105.023494 139.797975 \nL 102.595272 135.559428 \nL 100.4348 131.262091 \nL 98.599487 126.988814 \nL 97.145783 122.831189 \nL 96.126706 118.886136 \nL 95.589145 115.251457 \nL 95.571048 112.02061 \nL 96.098764 109.277255 \nL 97.184788 107.089963 \nL 98.826171 105.507777 \nL 101.00382 104.557339 \nL 103.682767 104.241669 \nL 106.813535 104.541083 \nL 110.334423 105.415836 \nL 114.174524 106.810217 \nL 118.257222 108.6576 \nL 122.503764 110.885539 \nL 126.836713 113.42062 \nL 131.182894 116.192496 \nL 135.475757 119.136824 \nL 139.657045 122.197154 \nL 143.677738 125.325749 \nL 147.498371 128.483623 \nL 151.088819 131.639996 \nL 154.427679 134.771311 \nL 157.501387 137.860144 \nL 160.303153 140.894043 \nL 162.831861 143.86447 \nL 165.090945 146.765814 \nL 167.087358 149.594619 \nL 168.830627 152.348934 \nL 170.33201 155.027777 \nL 171.603786 157.63079 \nL 172.658661 160.157938 \nL 173.509289 162.609291 \nL 174.167874 164.984891 \nL 174.645889 167.284644 \nL 174.953849 169.508234 \nL 175.101157 171.655064 \nL 175.095997 173.724197 \nL 174.945274 175.714326 \nL 174.654579 177.623697 \nL 174.228192 179.450056 \nL 173.669085 181.190597 \nL 172.978957 182.841885 \nL 172.158271 184.399738 \nL 171.206298 185.859169 \nL 170.121174 187.214233 \nL 168.899957 188.457918 \nL 167.53869 189.581969 \nL 166.032481 190.576739 \nL 164.375589 191.431001 \nL 162.561529 192.13174 \nL 160.5832 192.663945 \nL 158.433033 193.010378 \nL 156.103198 193.151368 \nL 153.585834 193.064591 \nL 150.873359 192.724913 \nL 147.958848 192.104269 \nL 144.836501 191.171648 \nL 141.502222 189.893225 \nL 137.954331 188.232705 \nL 134.194404 186.15193 \nL 130.228289 183.611895 \nL 126.067266 180.574209 \nL 121.729375 177.003189 \nL 117.240896 172.868591 \nL 112.637875 168.149187 \nL 107.967678 162.837071 \nL 103.290424 156.942682 \nL 98.680057 150.500272 \nL 94.224905 143.573406 \nL 90.027382 136.259723 \nL 86.202505 128.694089 \nL 82.874919 121.048941 \nL 80.174273 113.530728 \nL 78.228794 106.371476 \nL 77.157289 99.815214 \nL 77.060086 94.099846 \nL 78.009833 89.436357 \nL 80.043275 85.988093 \nL 83.155257 83.853783 \nL 87.296168 83.057513 \nL 92.373479 83.547921 \nL 98.257443 85.206833 \nL 104.790275 87.865668 \nL 111.797597 91.326213 \nL 119.100473 95.382005 \nL 126.526594 99.836724 \nL 133.919341 104.517492 \nL 141.144123 109.28244 \nL 148.091796 114.022825 \nL 154.679546 118.661307 \nL 160.849736 123.1476 \nL 166.567394 127.453125 \nL 171.816929 131.565522 \nL 176.598584 135.483734 \nL 180.924955 139.213988 \nL 184.817827 142.766688 \nL 188.305413 146.154167 \nL 191.420062 149.389176 \nL 194.196408 152.48392 \nL 196.669932 155.449545 \nL 198.875881 158.295861 \nL 202.620431 163.662809 \nL 205.683487 168.63627 \nL 209.475485 175.427501 \nL 212.836278 181.458668 \nL 215.076952 185.057074 \nL 217.456746 188.301285 \nL 218.731939 189.782303 \nL 220.080632 191.163008 \nL 221.514912 192.437354 \nL 223.046705 193.598037 \nL 224.687874 194.636317 \nL 226.450285 195.541842 \nL 228.345863 196.302406 \nL 230.386595 196.903737 \nL 232.584516 197.329211 \nL 234.951629 197.559597 \nL 237.49977 197.572783 \nL 240.240432 197.343502 \nL 243.184463 196.843123 \nL 246.341701 196.039479 \nL 249.720482 194.896822 \nL 253.326985 193.375963 \nL 257.164454 191.434639 \nL 261.232205 189.028267 \nL 265.524432 186.111128 \nL 270.028833 182.638207 \nL 274.724995 178.567789 \nL 279.582626 173.864914 \nL 284.55967 168.505889 \nL 289.600406 162.483772 \nL 294.633771 155.814759 \nL 299.57207 148.545076 \nL 304.310456 140.757803 \nL 308.727537 132.578493 \nL 312.687542 124.178414 \nL 316.044488 115.773712 \nL 318.648474 107.61911 \nL 320.35426 99.994951 \nL 321.031645 93.187737 \nL 320.576822 87.465426 \nL 318.923449 83.050621 \nL 316.051743 80.09599 \nL 311.993999 78.666845 \nL 306.835206 78.734683 \nL 300.708332 80.183359 \nL 293.784612 82.826722 \nL 286.26027 86.433896 \nL 278.341677 90.757032 \nL 270.23103 95.556334 \nL 262.114323 100.618837 \nL 254.152672 105.769527 \nL 239.188341 115.842045 \nL 226.020534 125.150899 \nL 220.203321 129.449378 \nL 214.903869 133.508803 \nL 210.107791 137.339842 \nL 205.789928 140.957745 \nL 201.917664 144.37957 \nL 198.453674 147.62234 \nL 195.358102 150.70192 \nL 192.59023 153.632423 \nL 187.877488 159.092591 \nL 184.011147 164.075997 \nL 173.579542 178.215582 \nL 170.701245 181.309182 \nL 169.186719 182.681687 \nL 167.601931 183.929424 \nL 165.932939 185.044315 \nL 164.166519 186.016799 \nL 162.29007 186.835697 \nL 160.29158 187.488051 \nL 158.159606 187.958954 \nL 155.883341 188.231417 \nL 153.452706 188.286206 \nL 150.858515 188.101727 \nL 148.092731 187.653988 \nL 145.148788 186.916618 \nL 142.022027 185.861011 \nL 138.710239 184.456651 \nL 135.214313 182.671657 \nL 131.539035 180.473645 \nL 127.694023 177.830922 \nL 123.694737 174.714183 \nL 119.563663 171.09871 \nL 115.331518 166.967149 \nL 111.038432 162.312888 \nL 106.73508 157.143937 \nL 102.483535 151.487145 \nL 98.35771 145.392464 \nL 94.443161 138.936741 \nL 90.836026 132.226363 \nL 87.640878 125.398039 \nL 84.967286 118.616761 \nL 82.925041 112.070367 \nL 81.618117 105.960232 \nL 81.137735 100.488482 \nL 81.555016 95.842528 \nL 82.914115 92.178945 \nL 85.22667 89.608913 \nL 88.468523 88.1877 \nL 92.579369 87.910342 \nL 97.465601 88.714203 \nL 103.00611 90.488118 \nL 109.060414 93.086295 \nL 115.477962 96.344451 \nL 122.107506 100.095455 \nL 128.805484 104.18236 \nL 135.442624 108.467492 \nL 141.908425 112.837452 \nL 148.113478 117.204341 \nL 153.989903 121.504288 \nL 159.490303 125.694289 \nL 164.585739 129.748229 \nL 169.263121 133.652872 \nL 173.522398 137.404226 \nL 177.373794 141.004475 \nL 180.835257 144.459605 \nL 183.930217 147.777634 \nL 186.6857 150.967388 \nL 189.130781 154.037697 \nL 191.295359 156.9969 \nL 193.209228 159.85258 \nL 194.901385 162.611483 \nL 197.729827 167.861654 \nL 199.982288 172.78517 \nL 201.831346 177.409418 \nL 207.73697 193.218588 \nL 209.312259 196.528971 \nL 211.077781 199.575744 \nL 213.102631 202.34295 \nL 214.234513 203.613868 \nL 215.458482 204.803825 \nL 216.78441 205.907164 \nL 218.22269 206.916988 \nL 219.784302 207.824961 \nL 221.480864 208.621069 \nL 223.32467 209.293338 \nL 225.328705 209.827513 \nL 227.506638 210.206701 \nL 229.872766 210.410976 \nL 232.441923 210.416925 \nL 235.229324 210.197192 \nL 238.250327 209.719981 \nL 241.520107 208.948594 \nL 245.053181 207.841004 \nL 248.862785 206.349534 \nL 252.960052 204.420765 \nL 257.352957 201.995732 \nL 262.044955 199.010631 \nL 267.033308 195.398199 \nL 272.307063 191.090048 \nL 277.844615 186.020236 \nL 283.610934 180.13041 \nL 289.554528 173.376706 \nL 295.604227 165.738688 \nL 301.666162 157.230045 \nL 307.621294 147.910666 \nL 313.324099 137.898831 \nL 318.603133 127.381627 \nL 323.264328 116.620866 \nL 327.097779 105.951209 \nL 329.888578 95.767372 \nL 331.43167 86.498237 \nL 331.549934 78.568388 \nL 330.113492 72.351045 \nL 327.05754 68.120054 \nL 322.395272 66.011246 \nL 316.222873 66.002904 \nL 308.714681 67.921264 \nL 300.108765 71.470203 \nL 290.68512 76.27788 \nL 280.740409 81.948865 \nL 270.563551 88.110411 \nL 250.516982 100.707144 \nL 202.877774 131.002268 \nL 192.103784 138.115677 \nL 183.468836 144.113965 \nL 176.543236 149.222941 \nL 168.450016 155.547601 \nL 162.043038 160.498367 \nL 158.234678 163.075128 \nL 156.386022 164.141925 \nL 154.544541 165.05545 \nL 152.691331 165.809938 \nL 150.810051 166.398488 \nL 148.886817 166.813177 \nL 146.910079 167.045162 \nL 144.870576 167.084838 \nL 142.76133 166.922006 \nL 140.577682 166.546062 \nL 138.317372 165.946314 \nL 135.980672 165.112286 \nL 133.570551 164.034206 \nL 131.092885 162.703492 \nL 128.556689 161.113408 \nL 125.974369 159.259834 \nL 123.36194 157.142087 \nL 120.739251 154.763894 \nL 118.130139 152.134357 \nL 115.5625 149.268988 \nL 113.068197 146.19062 \nL 110.682834 142.930178 \nL 108.445318 139.52721 \nL 106.397127 136.029982 \nL 104.581366 132.495081 \nL 103.041484 128.986398 \nL 101.819765 125.573435 \nL 100.955582 122.328925 \nL 100.483513 119.325866 \nL 100.431429 116.634085 \nL 100.818723 114.316695 \nL 101.654795 112.426651 \nL 102.937968 111.003852 \nL 104.654955 110.073081 \nL 106.780988 109.642989 \nL 109.280608 109.706239 \nL 112.109041 110.240895 \nL 115.21415 111.212655 \nL 118.538656 112.577816 \nL 122.022608 114.286486 \nL 125.605724 116.285869 \nL 129.22963 118.523114 \nL 132.839676 120.947661 \nL 136.38638 123.513019 \nL 139.826424 126.177806 \nL 143.123168 128.906304 \nL 146.246829 131.668474 \nL 149.174269 134.439641 \nL 151.888583 137.199969 \nL 154.378465 139.933806 \nL 156.637507 142.62899 \nL 158.663433 145.276165 \nL 160.457316 147.868193 \nL 162.022868 150.399597 \nL 163.365751 152.866123 \nL 164.492972 155.264358 \nL 165.41236 157.591438 \nL 166.132127 159.844793 \nL 166.660487 162.021978 \nL 167.005353 164.120509 \nL 167.174113 166.137735 \nL 167.17344 168.070713 \nL 167.009166 169.916151 \nL 166.686187 171.670279 \nL 166.208418 173.328765 \nL 165.578763 174.886653 \nL 164.799118 176.33822 \nL 163.870406 177.676908 \nL 162.792614 178.895186 \nL 161.564858 179.984465 \nL 160.185475 180.934954 \nL 158.652124 181.735514 \nL 156.961922 182.373566 \nL 155.111596 182.834951 \nL 153.097675 183.103814 \nL 150.916728 183.162527 \nL 148.565624 182.991651 \nL 146.041874 182.569934 \nL 143.34401 181.874415 \nL 140.472067 180.880659 \nL 137.428109 179.563097 \nL 134.216864 177.895648 \nL 130.84645 175.852485 \nL 127.32917 173.409226 \nL 123.682402 170.544395 \nL 119.929512 167.2413 \nL 116.100827 163.490364 \nL 112.2345 159.291791 \nL 108.377306 154.65858 \nL 104.58512 149.61966 \nL 100.923113 144.222929 \nL 97.465302 138.53777 \nL 94.293515 132.656618 \nL 91.495429 126.694953 \nL 89.161683 120.789297 \nL 87.382062 115.092632 \nL 86.240759 109.767254 \nL 85.811104 104.97515 \nL 86.150038 100.866753 \nL 87.293026 97.569262 \nL 89.24996 95.176033 \nL 92.00265 93.738837 \nL 95.504484 93.264104 \nL 99.682293 93.714035 \nL 104.440438 95.012211 \nL 109.666607 97.052823 \nL 115.238667 99.711862 \nL 121.031741 102.858597 \nL 126.924806 106.365625 \nL 132.806203 110.116698 \nL 138.577659 114.011618 \nL 144.156771 117.968526 \nL 149.478032 121.924009 \nL 154.492611 125.831535 \nL 159.167244 129.659069 \nL 163.482514 133.386329 \nL 167.430807 137.002023 \nL 171.014172 140.501426 \nL 174.242255 143.884317 \nL 177.130393 147.153399 \nL 179.697946 150.313055 \nL 181.966877 153.368515 \nL 183.960579 156.32527 \nL 185.702944 159.188703 \nL 187.217642 161.963871 \nL 188.52758 164.655422 \nL 189.654517 167.267535 \nL 191.439235 172.268015 \nL 192.715466 176.990651 \nL 193.600805 181.455836 \nL 194.188106 185.680413 \nL 194.548344 189.678784 \nL 194.773545 195.279661 \nL 194.718682 200.437776 \nL 194.444094 205.186306 \nL 193.969523 209.554244 \nL 193.283617 213.566095 \nL 192.691239 216.052467 \nL 191.970909 218.392988 \nL 191.099427 220.58955 \nL 190.047391 222.641399 \nL 188.778216 224.544159 \nL 187.246851 226.288334 \nL 185.398174 227.857135 \nL 183.165079 229.223292 \nL 181.879588 229.817889 \nL 180.466265 230.344413 \nL 178.912335 230.794101 \nL 177.203835 231.156244 \nL 175.32554 231.417814 \nL 173.260913 231.562992 \nL 170.992068 231.57264 \nL 168.499759 231.423669 \nL 165.763426 231.088312 \nL 162.76129 230.533306 \nL 159.470537 229.718972 \nL 155.86765 228.598228 \nL 151.92886 227.11556 \nL 147.630851 225.206028 \nL 142.95174 222.794415 \nL 137.872398 219.794708 \nL 132.378272 216.110135 \nL 126.461739 211.634166 \nL 120.125159 206.252949 \nL 113.38469 199.849827 \nL 106.274916 192.312684 \nL 98.854312 183.544952 \nL 91.211329 173.480962 \nL 83.470731 162.106021 \nL 75.799431 149.480623 \nL 68.41076 135.766952 \nL 61.565549 121.253582 \nL 55.567987 106.372056 \nL 50.754372 91.696672 \nL 47.472924 77.918643 \nL 46.054471 65.788165 \nL 46.775872 56.025671 \nL 49.820914 49.214311 \nL 55.246047 45.697338 \nL 62.959746 45.509908 \nL 72.722134 48.369256 \nL 84.167538 53.729858 \nL 96.846007 60.88795 \nL 110.274716 69.103482 \nL 137.576913 86.161399 \nL 150.712347 94.097782 \nL 163.153521 101.294373 \nL 174.743396 107.65297 \nL 185.396848 113.16264 \nL 195.085592 117.867323 \nL 203.823071 121.840418 \nL 211.651109 125.167044 \nL 218.629105 127.932881 \nL 224.825813 130.217964 \nL 230.31343 132.093765 \nL 239.444572 134.856847 \nL 246.548346 136.615743 \nL 252.065901 137.651384 \nL 256.347372 138.165451 \nL 259.660995 138.307013 \nL 262.207419 138.19091 \nL 264.134526 137.909458 \nL 266.093421 137.341693 \nL 267.154216 136.781919 \nL 267.496735 136.389285 \nL 267.398674 136.276235 \nL 267.087092 136.306444 \nL 266.309218 136.638344 \nL 265.284954 137.303893 \nL 264.156898 138.25497 \nL 263.061082 139.413623 \nL 262.11833 140.68356 \nL 261.42694 141.960576 \nL 261.057938 143.140797 \nL 261.01283 143.825383 \nL 261.135106 144.397301 \nL 261.423944 144.833245 \nL 261.872837 145.113332 \nL 262.469737 145.221794 \nL 263.197198 145.147729 \nL 264.032543 144.885919 \nL 265.426088 144.146016 \nL 266.887155 143.024532 \nL 268.286286 141.599123 \nL 269.485625 139.988911 \nL 270.352237 138.347559 \nL 270.688795 137.321266 \nL 270.803382 136.409498 \nL 270.682114 135.659676 \nL 270.322625 135.111766 \nL 269.734873 134.795431 \nL 268.940962 134.728036 \nL 267.974038 134.913811 \nL 266.876238 135.3441 \nL 265.696029 135.998681 \nL 263.884766 137.334085 \nL 262.178305 138.977961 \nL 260.732856 140.784584 \nL 259.977737 142.005497 \nL 259.423278 143.189233 \nL 259.089815 144.29481 \nL 258.990011 145.283815 \nL 259.129115 146.120794 \nL 259.50525 146.773618 \nL 260.109666 147.213988 \nL 260.926859 147.418143 \nL 261.934605 147.367788 \nL 263.103865 147.051342 \nL 264.398721 146.465428 \nL 265.776407 145.616534 \nL 267.18762 144.522658 \nL 268.577304 143.214683 \nL 269.886059 141.737111 \nL 271.052346 140.147846 \nL 272.015463 138.516576 \nL 272.719288 136.921604 \nL 273.116519 135.44515 \nL 273.172916 134.167366 \nL 272.871026 133.15993 \nL 272.585555 132.776141 \nL 272.212856 132.479925 \nL 271.756378 132.275361 \nL 270.61198 132.15055 \nL 269.203066 132.40639 \nL 267.595026 133.026258 \nL 265.863037 133.975322 \nL 264.086657 135.20485 \nL 262.344554 136.657048 \nL 260.710029 138.269503 \nL 259.247701 139.978812 \nL 258.011441 141.723149 \nL 257.043528 143.443802 \nL 256.37472 145.085827 \nL 256.024968 146.598171 \nL 256.004404 147.933464 \nL 256.314358 149.047767 \nL 256.948152 149.900498 \nL 257.891559 150.454651 \nL 259.122825 150.677544 \nL 260.612293 150.542115 \nL 262.321684 150.028934 \nL 264.203251 149.128876 \nL 266.198921 147.846376 \nL 268.239926 146.202995 \nL 270.247112 144.240814 \nL 272.132524 142.024917 \nL 273.802493 139.64414 \nL 275.162542 137.209026 \nL 276.124034 134.846391 \nL 276.612047 132.690366 \nL 276.660859 131.730879 \nL 276.573548 130.870609 \nL 276.348098 130.122927 \nL 275.984647 129.499375 \nL 275.485547 129.009333 \nL 274.855396 128.65982 \nL 274.100958 128.45535 \nL 273.231052 128.397865 \nL 272.256366 128.486813 \nL 271.189197 128.719241 \nL 268.833041 129.59216 \nL 266.28205 130.954481 \nL 263.661522 132.723407 \nL 261.092791 134.805478 \nL 258.68537 137.105068 \nL 256.531832 139.530434 \nL 254.705414 141.997105 \nL 253.26 144.429037 \nL 252.23179 146.758223 \nL 251.64187 148.923322 \nL 251.49905 150.868036 \nL 251.595348 151.741117 \nL 251.802445 152.53946 \nL 252.119034 153.25677 \nL 252.543399 153.886839 \nL 253.07342 154.423542 \nL 253.706583 154.860825 \nL 254.439951 155.19275 \nL 255.270143 155.413511 \nL 256.193282 155.517495 \nL 257.204931 155.499379 \nL 258.300038 155.35421 \nL 259.472841 155.077526 \nL 260.71679 154.665505 \nL 263.387421 153.424515 \nL 266.240302 151.620835 \nL 269.18575 149.267853 \nL 272.114504 146.410809 \nL 274.898201 143.134247 \nL 277.392803 139.566929 \nL 278.484106 137.726651 \nL 279.445905 135.88158 \nL 280.259735 134.058905 \nL 280.908251 132.287097 \nL 281.375793 130.595186 \nL 281.648898 129.011951 \nL 281.716849 127.565015 \nL 281.572152 126.279939 \nL 281.210946 125.179317 \nL 280.633284 124.282048 \nL 279.843312 123.602666 \nL 278.849281 123.150935 \nL 277.663395 122.931641 \nL 276.301538 122.944597 \nL 274.78281 123.18494 \nL 273.129007 123.643544 \nL 271.363966 124.307669 \nL 269.512878 125.161637 \nL 267.601607 126.187623 \nL 263.701263 128.678004 \nL 259.859101 131.620055 \nL 256.246526 134.860898 \nL 253.001175 138.264318 \nL 250.224217 141.714945 \nL 247.982601 145.117622 \nL 246.31443 148.393971 \nL 245.701053 149.963748 \nL 245.235676 151.477849 \nL 244.917934 152.929168 \nL 244.746874 154.310842 \nL 244.7211 155.616122 \nL 244.83889 156.838263 \nL 245.098308 157.970477 \nL 245.497259 159.005819 \nL 246.033544 159.937152 \nL 246.70488 160.75709 \nL 247.508888 161.457957 \nL 248.44306 162.031794 \nL 249.504708 162.470339 \nL 250.690881 162.765054 \nL 251.998253 162.907178 \nL 253.423008 162.887826 \nL 254.960676 162.698085 \nL 256.605962 162.329212 \nL 258.352566 161.772816 \nL 260.192955 161.021152 \nL 262.118146 160.067464 \nL 264.117487 158.906381 \nL 266.178419 157.53438 \nL 268.286248 155.950334 \nL 270.423972 154.156094 \nL 272.572109 152.157129 \nL 274.708622 149.963134 \nL 276.808889 147.588651 \nL 278.845802 145.053613 \nL 280.789987 142.383726 \nL 282.610184 139.610673 \nL 284.273778 136.772034 \nL 285.74751 133.910895 \nL 286.998381 131.075045 \nL 287.99468 128.315792 \nL 288.707178 125.686391 \nL 289.110339 123.240096 \nL 289.183584 121.027994 \nL 288.912432 119.096799 \nL 288.289468 117.486629 \nL 287.315065 116.229187 \nL 285.997753 115.346297 \nL 284.354209 114.849134 \nL 282.408829 114.73802 \nL 280.192895 115.003011 \nL 277.743436 115.625003 \nL 275.101823 116.577368 \nL 272.312204 117.827851 \nL 269.419904 119.340519 \nL 266.469912 121.07776 \nL 263.505501 123.001962 \nL 260.567094 125.076894 \nL 257.69137 127.268765 \nL 254.910672 129.546906 \nL 252.252683 131.884126 \nL 249.740329 134.256766 \nL 247.391892 136.644621 \nL 245.221295 139.030626 \nL 243.238493 141.40052 \nL 241.449926 143.742448 \nL 239.859041 146.046542 \nL 238.46679 148.304554 \nL 237.27214 150.509483 \nL 236.272531 152.655282 \nL 235.464309 154.736576 \nL 234.843099 156.748421 \nL 234.404135 158.686115 \nL 234.142522 160.545037 \nL 234.053475 162.320479 \nL 234.132493 164.007528 \nL 234.375492 165.600964 \nL 234.778895 167.095124 \nL 235.339697 168.483834 \nL 236.055493 169.760295 \nL 236.924476 170.916995 \nL 237.945399 171.945625 \nL 239.117513 172.837 \nL 240.440488 173.580963 \nL 241.914296 174.166332 \nL 243.539069 174.58086 \nL 245.314909 174.811198 \nL 247.241698 174.8429 \nL 249.31883 174.660485 \nL 251.544939 174.247561 \nL 253.917537 173.587019 \nL 256.432653 172.661323 \nL 259.084383 171.452964 \nL 261.864417 169.945013 \nL 264.761506 168.121904 \nL 267.7609 165.970374 \nL 270.843782 163.480667 \nL 273.986678 160.647895 \nL 277.160947 157.473654 \nL 280.332337 153.967735 \nL 283.460713 150.149933 \nL 286.499971 146.051779 \nL 289.398308 141.717972 \nL 292.098831 137.20738 \nL 294.540659 132.59324 \nL 296.660517 127.962374 \nL 298.394865 123.413172 \nL 299.682566 119.05221 \nL 300.467895 114.989536 \nL 300.703781 111.332843 \nL 300.355032 108.181059 \nL 299.401217 105.61785 \nL 297.838848 103.705938 \nL 295.682659 102.482919 \nL 292.965679 101.959179 \nL 289.738077 102.118242 \nL 286.064815 102.919391 \nL 282.02234 104.302207 \nL 277.694616 106.192422 \nL 273.168917 108.508106 \nL 268.531787 111.165576 \nL 263.865428 114.084369 \nL 259.244836 117.190951 \nL 254.735758 120.421039 \nL 250.393481 123.720713 \nL 246.262404 127.046427 \nL 242.376248 130.364285 \nL 238.758763 133.648923 \nL 235.424744 136.882099 \nL 232.381266 140.051299 \nL 229.628966 143.148448 \nL 227.163329 146.16876 \nL 224.975881 149.109797 \nL 223.055271 151.970722 \nL 221.388224 154.751724 \nL 219.960337 157.453586 \nL 218.756748 160.077392 \nL 217.762668 162.624302 \nL 216.963805 165.095416 \nL 216.346678 167.49169 \nL 215.898856 169.813848 \nL 215.609117 172.062359 \nL 215.467556 174.237394 \nL 215.465642 176.338817 \nL 215.596246 178.366133 \nL 215.853637 180.318471 \nL 216.233468 182.194528 \nL 216.73274 183.992528 \nL 217.349766 185.710179 \nL 218.084116 187.344562 \nL 218.936584 188.892087 \nL 219.909131 190.348354 \nL 221.004837 191.708065 \nL 222.227858 192.964872 \nL 223.583372 194.111217 \nL 225.077516 195.138163 \nL 226.717338 196.035185 \nL 228.510706 196.789949 \nL 230.466226 197.388073 \nL 232.59312 197.812848 \nL 234.901074 198.044969 \nL 237.400039 198.062249 \nL 240.099987 197.839343 \nL 243.010575 197.347519 \nL 246.14073 196.554468 \nL 249.498116 195.424255 \nL 253.088476 193.917416 \nL 256.914805 191.991308 \nL 260.976353 189.600817 \nL 265.267416 186.699542 \nL 269.775916 183.241546 \nL 274.481785 179.183964 \nL 279.355168 174.490403 \nL 284.354477 169.135455 \nL 289.424472 163.110216 \nL 294.49449 156.428725 \nL 299.477074 149.134983 \nL 304.267359 141.309944 \nL 308.743573 133.077465 \nL 312.769092 124.607799 \nL 316.196486 116.117186 \nL 318.873802 107.861824 \nL 320.653116 100.12517 \nL 321.401011 93.198449 \nL 321.010139 87.355677 \nL 319.410566 82.826227 \nL 316.579221 79.769454 \nL 312.545795 78.256368 \nL 307.393683 78.26227 \nL 301.255446 79.672515 \nL 294.303127 82.300083 \nL 286.734852 85.911231 \nL 278.759694 90.253881 \nL 270.583004 95.083444 \nL 262.394033 100.18233 \nL 254.356953 105.371554 \nL 239.24239 115.516107 \nL 225.936663 124.880202 \nL 220.057505 129.198767 \nL 214.701235 133.273458 \nL 209.85343 137.115346 \nL 205.488695 140.740183 \nL 201.574046 144.16553 \nL 198.071708 147.408863 \nL 194.941326 150.486447 \nL 192.141676 153.412729 \nL 187.372483 158.858765 \nL 183.456092 163.821462 \nL 174.279598 176.149221 \nL 171.412669 179.414405 \nL 169.926412 180.876565 \nL 168.383462 182.217786 \nL 166.768996 183.431023 \nL 165.069059 184.507841 \nL 163.270453 185.438322 \nL 161.360653 186.210882 \nL 159.327786 186.812149 \nL 157.160622 187.226796 \nL 154.848646 187.437424 \nL 152.382166 187.4244 \nL 149.752513 187.165797 \nL 146.95229 186.637375 \nL 143.975739 185.812644 \nL 140.819183 184.663092 \nL 137.481606 183.158569 \nL 133.965319 181.267911 \nL 130.276779 178.959928 \nL 126.427522 176.20471 \nL 122.435208 172.975466 \nL 118.324744 169.250816 \nL 114.129474 165.01771 \nL 109.892272 160.274809 \nL 105.666562 155.036391 \nL 101.516979 149.336408 \nL 97.5196 143.232448 \nL 93.761455 136.809049 \nL 90.339164 130.179644 \nL 87.356426 123.486443 \nL 84.920275 116.897405 \nL 83.136057 110.599823 \nL 82.101288 104.790262 \nL 81.898831 99.661354 \nL 82.589899 95.386713 \nL 84.207792 92.105733 \nL 86.753205 89.910698 \nL 90.191892 88.838417 \nL 94.455274 88.868012 \nL 99.444025 89.925231 \nL 105.034381 91.892648 \nL 111.08634 94.623705 \nL 117.452708 97.95816 \nL 123.9879 101.736457 \nL 130.555569 105.811199 \nL 137.034429 110.054864 \nL 143.322032 114.363604 \nL 149.336511 118.657776 \nL 155.016638 122.880119 \nL 160.320572 126.99249 \nL 165.223751 130.972102 \nL 169.716335 134.807755 \nL 173.800502 138.496499 \nL 177.487827 142.040841 \nL 180.796884 145.446631 \nL 183.751159 148.721478 \nL 186.377301 151.873647 \nL 188.703686 154.911349 \nL 190.759296 157.842348 \nL 192.572864 160.673686 \nL 194.17224 163.411643 \nL 196.832954 168.628654 \nL 198.933666 173.529014 \nL 200.638066 178.139112 \nL 203.378144 186.561213 \nL 205.242502 192.225451 \nL 206.542547 195.702671 \nL 207.965422 198.941347 \nL 209.572979 201.936128 \nL 211.427365 204.674741 \nL 212.46743 205.941689 \nL 213.594281 207.1356 \nL 214.817164 208.251766 \nL 216.145889 209.2844 \nL 217.590899 210.226446 \nL 219.163337 211.069356 \nL 220.875092 211.802845 \nL 222.738834 212.414585 \nL 224.768031 212.889868 \nL 226.976938 213.211205 \nL 229.380546 213.35791 \nL 231.994493 213.305607 \nL 234.834897 213.025703 \nL 237.918136 212.484859 \nL 241.260474 211.644447 \nL 244.877608 210.460059 \nL 248.783997 208.881114 \nL 252.991997 206.850698 \nL 257.51074 204.305715 \nL 262.344692 201.177568 \nL 267.491855 197.393587 \nL 272.941551 192.879494 \nL 278.671807 187.563241 \nL 284.646308 181.380586 \nL 290.811008 174.282717 \nL 297.090608 166.246094 \nL 303.385149 157.284467 \nL 309.567233 147.462348 \nL 315.480494 136.908777 \nL 320.94022 125.829019 \nL 325.736986 114.511102 \nL 329.644326 103.323334 \nL 332.430927 92.699102 \nL 333.877437 83.106622 \nL 333.796714 75.004438 \nL 332.05537 68.787573 \nL 328.593277 64.733897 \nL 323.437074 62.962711 \nL 316.704266 63.416804 \nL 308.596117 65.873675 \nL 299.379871 69.983898 \nL 289.363318 75.326658 \nL 278.866397 81.468656 \nL 268.194768 88.013609 \nL 219.948822 118.147308 \nL 187.865942 137.96736 \nL 179.180124 143.596417 \nL 169.240134 150.371265 \nL 159.615379 156.982614 \nL 155.624999 159.37493 \nL 153.726535 160.345735 \nL 151.86056 161.162935 \nL 150.007039 161.822437 \nL 148.148883 162.319114 \nL 146.271791 162.64698 \nL 144.364117 162.799374 \nL 142.416791 162.769139 \nL 140.423247 162.548847 \nL 138.379423 162.131053 \nL 136.283788 161.508575 \nL 134.137387 160.67488 \nL 131.943936 159.624459 \nL 129.70992 158.353345 \nL 127.444715 156.859645 \nL 125.160707 155.144153 \nL 122.873367 153.211004 \nL 120.60132 151.068361 \nL 118.366331 148.729103 \nL 116.193203 146.211421 \nL 114.109562 143.539351 \nL 112.145503 140.7431 \nL 110.333075 137.859112 \nL 108.705582 134.929845 \nL 107.296706 132.003112 \nL 106.139452 129.131056 \nL 105.264934 126.368622 \nL 104.701086 123.77169 \nL 104.471322 121.394871 \nL 104.593264 119.289116 \nL 105.077577 117.499388 \nL 105.927118 116.062499 \nL 107.136333 115.005382 \nL 108.691132 114.343987 \nL 110.569128 114.0828 \nL 112.740365 114.215185 \nL 115.168372 114.72434 \nL 117.811593 115.584918 \nL 120.624971 116.764884 \nL 123.561624 118.227692 \nL 126.574502 119.934383 \nL 129.617904 121.845484 \nL 132.648765 123.922608 \nL 135.627687 126.129704 \nL 138.519653 128.433866 \nL 141.294474 130.805815 \nL 143.926946 133.220059 \nL 146.396793 135.654815 \nL 148.688413 138.091728 \nL 150.790491 140.515524 \nL 152.695533 142.91358 \nL 154.399335 145.2755 \nL 155.900445 147.592677 \nL 157.199623 149.857922 \nL 158.299346 152.065119 \nL 159.203342 154.208939 \nL 159.916185 156.284562 \nL 160.442939 158.287468 \nL 160.788845 160.213282 \nL 160.959082 162.057594 \nL 160.958561 163.815816 \nL 160.791783 165.483087 \nL 160.462714 167.054151 \nL 159.974712 168.523263 \nL 159.330494 169.884074 \nL 158.532121 171.129551 \nL 157.581021 172.251887 \nL 156.47803 173.242402 \nL 155.223474 174.091457 \nL 153.81726 174.788384 \nL 152.259013 175.321394 \nL 150.548232 175.67755 \nL 148.684475 175.842745 \nL 146.667597 175.801696 \nL 144.498019 175.538035 \nL 142.177037 175.034424 \nL 139.707194 174.272781 \nL 137.092688 173.234641 \nL 134.339841 171.901624 \nL 131.457623 170.256077 \nL 128.458222 168.281939 \nL 125.357641 165.965811 \nL 122.176315 163.298252 \nL 118.939718 160.275321 \nL 115.678895 156.900336 \nL 112.430928 153.18575 \nL 109.239167 149.155077 \nL 106.153235 144.844708 \nL 103.22871 140.305373 \nL 100.526303 135.603002 \nL 98.110593 130.818728 \nL 96.048144 126.047673 \nL 94.40506 121.396381 \nL 93.244067 116.978736 \nL 92.621141 112.910459 \nL 92.582036 109.302602 \nL 93.158908 106.254495 \nL 94.367457 103.84692 \nL 96.204839 102.136528 \nL 98.648767 101.152026 \nL 101.65786 100.892886 \nL 105.173378 101.330705 \nL 109.122166 102.412931 \nL 113.4205 104.068483 \nL 117.978486 106.214307 \nL 122.704551 108.762061 \nL 127.509608 111.624138 \nL 132.310589 114.718455 \nL 137.033157 117.971801 \nL 141.613461 121.321676 \nL 145.999034 124.716857 \nL 150.148909 128.116993 \nL 154.03313 131.491534 \nL 157.631787 134.818322 \nL 160.933818 138.082031 \nL 163.93564 141.272698 \nL 166.639775 144.384397 \nL 169.053524 147.414108 \nL 171.187751 150.360817 \nL 173.055816 153.224821 \nL 174.672645 156.007196 \nL 176.053969 158.709433 \nL 177.215687 161.333188 \nL 178.173386 163.880081 \nL 178.941947 166.351613 \nL 179.535279 168.749072 \nL 179.966104 171.073516 \nL 180.245837 173.32572 \nL 180.384497 175.506171 \nL 180.390674 177.615057 \nL 180.271526 179.65224 \nL 180.032789 181.617219 \nL 179.678808 183.509122 \nL 179.21258 185.326654 \nL 178.635799 187.068022 \nL 177.948906 188.730918 \nL 177.151133 190.312409 \nL 176.24055 191.808846 \nL 175.21411 193.215774 \nL 174.067691 194.527783 \nL 172.796139 195.738389 \nL 171.393308 196.839847 \nL 169.852102 197.822964 \nL 168.164539 198.67688 \nL 166.321809 199.38883 \nL 164.314357 199.943879 \nL 162.132 200.32462 \nL 159.764072 200.510873 \nL 157.199608 200.479367 \nL 154.42761 200.203429 \nL 151.437379 199.6527 \nL 148.218944 198.792928 \nL 144.763605 197.585853 \nL 141.064653 195.989287 \nL 137.118228 193.957455 \nL 132.924391 191.441718 \nL 128.488424 188.391785 \nL 123.822364 184.757643 \nL 118.946782 180.492298 \nL 113.892746 175.555553 \nL 108.703958 169.918957 \nL 103.438906 163.5719 \nL 98.172859 156.528837 \nL 92.999378 148.837155 \nL 88.031068 140.585034 \nL 83.399033 131.908092 \nL 79.25056 122.993305 \nL 75.744597 114.07828 \nL 73.044687 105.444118 \nL 71.309319 97.400578 \nL 70.680149 90.263434 \nL 71.269088 84.325855 \nL 73.145805 79.827416 \nL 76.327568 76.926158 \nL 80.77338 75.679547 \nL 86.383809 76.038697 \nL 93.007132 77.857611 \nL 100.45102 80.915544 \nL 108.498091 84.947386 \nL 116.922863 89.675779 \nL 125.50764 94.838871 \nL 134.055419 100.210083 \nL 150.403952 110.901233 \nL 165.03835 120.849963 \nL 177.537492 129.733705 \nL 182.963822 133.771304 \nL 187.863889 137.558641 \nL 192.268562 141.115495 \nL 196.215571 144.462411 \nL 199.746721 147.61898 \nL 205.736515 153.4293 \nL 210.584039 158.658584 \nL 214.610123 163.380854 \nL 221.281865 171.443489 \nL 224.367504 174.791949 \nL 225.926318 176.287022 \nL 227.52076 177.656166 \nL 229.167663 178.892934 \nL 230.882553 179.989531 \nL 232.679773 180.936745 \nL 234.572598 181.723829 \nL 236.57328 182.338418 \nL 238.69308 182.766421 \nL 240.942219 182.991941 \nL 243.3298 182.997203 \nL 245.863629 182.762541 \nL 248.550012 182.266452 \nL 251.393427 181.485747 \nL 254.396127 180.395794 \nL 257.557655 178.970999 \nL 260.874255 177.185442 \nL 264.338164 175.01381 \nL 267.936864 172.432665 \nL 271.65218 169.422067 \nL 275.459413 165.967602 \nL 279.326414 162.062848 \nL 283.212769 157.712172 \nL 287.069105 152.933834 \nL 290.836705 147.763126 \nL 294.447571 142.255273 \nL 297.825019 136.487699 \nL 300.885092 130.561114 \nL 303.538802 124.598878 \nL 305.695382 118.744122 \nL 307.266431 113.154281 \nL 308.170914 107.993015 \nL 308.340588 103.419881 \nL 307.725438 99.578778 \nL 306.298542 96.586363 \nL 304.059669 94.522331 \nL 301.03706 93.42286 \nL 297.287036 93.278552 \nL 292.891324 94.037142 \nL 287.952281 95.610578 \nL 282.58664 97.88517 \nL 276.918473 100.733072 \nL 271.072197 104.023467 \nL 265.166268 107.631921 \nL 259.308178 111.447215 \nL 253.590958 115.375364 \nL 248.09122 119.340971 \nL 242.86861 123.286723 \nL 237.966365 127.171468 \nL 233.41269 130.967616 \nL 229.22261 134.658355 \nL 225.400092 138.234987 \nL 221.940162 141.694603 \nL 218.830935 145.03821 \nL 216.055445 148.269236 \nL 213.593231 151.392483 \nL 211.421667 154.413341 \nL 209.517047 157.337312 \nL 207.855449 160.169708 \nL 206.41338 162.91546 \nL 205.168264 165.579062 \nL 204.098778 168.164548 \nL 202.408905 173.115203 \nL 201.204418 177.791826 \nL 200.371999 182.214136 \nL 199.822646 186.398508 \nL 199.488642 190.359045 \nL 199.286431 195.90715 \nL 199.350205 201.016876 \nL 199.623696 205.721124 \nL 200.089395 210.048726 \nL 200.759531 214.024158 \nL 201.671938 217.666526 \nL 202.444966 219.915907 \nL 203.378944 222.023599 \nL 204.506066 223.987567 \nL 205.866138 225.801663 \nL 207.508011 227.45391 \nL 209.49132 228.923985 \nL 211.888541 230.179529 \nL 213.269098 230.712171 \nL 214.787318 231.170773 \nL 216.456934 231.545124 \nL 218.292928 231.822776 \nL 220.311591 231.988607 \nL 222.530574 232.024298 \nL 224.968897 231.907725 \nL 227.646931 231.612246 \nL 230.586314 231.105901 \nL 233.809775 230.350505 \nL 237.34088 229.300666 \nL 241.203583 227.902741 \nL 245.421597 226.093819 \nL 250.017495 223.800798 \nL 255.011457 220.939744 \nL 260.419577 217.415752 \nL 266.251641 213.123665 \nL 272.508234 207.950096 \nL 279.177082 201.777385 \nL 286.228574 194.490239 \nL 293.610449 185.985848 \nL 301.241755 176.1883 \nL 309.006465 165.067698 \nL 316.747332 152.663827 \nL 324.261018 139.112691 \nL 331.296075 124.672558 \nL 337.555556 109.743527 \nL 342.706542 94.872355 \nL 346.398223 80.733163 \nL 348.289489 68.076847 \nL 348.08451 57.647721 \nL 345.572394 50.077089 \nL 340.663745 45.775326 \nL 333.415611 44.85201 \nL 324.036985 47.090935 \nL 312.871198 51.991782 \nL 300.357538 58.867397 \nL 286.980407 66.966937 \nL 259.496171 84.161401 \nL 246.16743 92.271722 \nL 233.493102 99.666983 \nL 221.648731 106.225189 \nL 210.734259 111.920259 \nL 200.788937 116.788014 \nL 191.806841 120.898731 \nL 183.750847 124.337631 \nL 176.564128 127.192304 \nL 170.178983 129.545558 \nL 164.523247 131.471926 \nL 159.524712 133.036492 \nL 151.22631 135.295 \nL 144.788578 136.672741 \nL 139.807017 137.421582 \nL 135.965808 137.725073 \nL 133.025313 137.721636 \nL 130.806824 137.519886 \nL 128.55262 137.033912 \nL 127.316153 136.532194 \nL 126.877549 136.188737 \nL 126.941616 136.107637 \nL 127.454736 136.259356 \nL 128.330242 136.756938 \nL 129.413485 137.576603 \nL 130.554458 138.656312 \nL 131.615498 139.907852 \nL 132.479229 141.228638 \nL 133.054619 142.511693 \nL 133.280303 143.653202 \nL 133.220086 144.288183 \nL 132.988645 144.792776 \nL 132.590284 145.145213 \nL 132.035032 145.327628 \nL 131.338501 145.326741 \nL 130.52172 145.134723 \nL 129.61094 144.750038 \nL 128.137814 143.826321 \nL 126.646897 142.537219 \nL 125.27583 140.979673 \nL 124.166193 139.291703 \nL 123.636953 138.176462 \nL 123.314346 137.131738 \nL 123.222031 136.210367 \nL 123.373179 135.460596 \nL 123.768932 134.922613 \nL 124.39762 134.625647 \nL 125.235117 134.586022 \nL 126.24608 134.80639 \nL 127.386165 135.276219 \nL 128.604842 135.973265 \nL 130.462987 137.373522 \nL 132.19981 139.078413 \nL 133.657142 140.937617 \nL 134.409845 142.187255 \nL 134.954002 143.393806 \nL 135.269848 144.515776 \nL 135.345429 145.514342 \nL 135.176303 146.353734 \nL 134.765216 147.001577 \nL 134.121853 147.429392 \nL 133.262719 147.613325 \nL 132.211142 147.535141 \nL 130.997391 147.183523 \nL 129.658787 146.555663 \nL 128.239667 145.658999 \nL 126.79108 144.512936 \nL 125.369961 143.150273 \nL 124.037655 141.617972 \nL 122.857554 139.976817 \nL 121.891962 138.299653 \nL 121.198151 136.667948 \nL 120.823912 135.166743 \nL 120.803134 133.878358 \nL 121.152005 132.875604 \nL 121.464583 132.499926 \nL 121.866349 132.21554 \nL 122.353466 132.026327 \nL 123.56216 131.941678 \nL 125.036398 132.248 \nL 126.70724 132.925489 \nL 128.496269 133.935953 \nL 130.321285 135.227562 \nL 132.101711 136.739829 \nL 133.763125 138.408234 \nL 135.240504 140.167829 \nL 136.480174 141.955723 \nL 137.440482 143.712503 \nL 138.091573 145.382759 \nL 138.414544 146.915111 \nL 138.400335 148.261884 \nL 138.048668 149.378831 \nL 137.367222 150.224995 \nL 136.371218 150.762969 \nL 135.083437 150.959661 \nL 133.534672 150.787703 \nL 131.764539 150.227562 \nL 129.822423 149.270378 \nL 127.768387 147.92143 \nL 125.673628 146.203891 \nL 123.620113 144.162408 \nL 121.698882 141.865692 \nL 120.006787 139.407158 \nL 118.641207 136.902662 \nL 117.693045 134.48452 \nL 117.238375 132.29189 \nL 117.213705 131.322416 \nL 117.329901 130.458136 \nL 117.588679 129.712587 \nL 117.989488 129.097299 \nL 118.529454 128.621509 \nL 119.203384 128.291946 \nL 120.003837 128.112686 \nL 120.921283 128.085147 \nL 121.944283 128.208141 \nL 123.059782 128.478036 \nL 125.509739 129.433242 \nL 128.146356 130.882941 \nL 130.840106 132.739279 \nL 133.466855 134.90483 \nL 135.915686 137.281206 \nL 138.093906 139.775016 \nL 139.929093 142.300996 \nL 141.368776 144.782882 \nL 142.378457 147.152691 \nL 142.938757 149.349227 \nL 143.042411 151.316218 \nL 142.923365 152.196967 \nL 142.691594 153.000598 \nL 142.348527 153.720773 \nL 141.895983 154.3512 \nL 141.336172 154.885661 \nL 140.67169 155.317988 \nL 139.905541 155.642118 \nL 139.041186 155.852107 \nL 138.082582 155.942206 \nL 137.034245 155.90693 \nL 135.90134 155.741172 \nL 134.689746 155.440326 \nL 133.406167 155.000459 \nL 130.654542 153.692296 \nL 127.720103 151.805996 \nL 124.695395 149.355709 \nL 121.693473 146.388992 \nL 118.847418 142.994741 \nL 116.306663 139.308257 \nL 115.200129 137.410461 \nL 114.229236 135.510856 \nL 113.413053 133.637887 \nL 112.76944 131.821294 \nL 112.314449 130.091311 \nL 112.061777 128.477806 \nL 112.022197 127.009309 \nL 112.203049 125.712046 \nL 112.607834 124.609018 \nL 113.235917 123.719212 \nL 114.082386 123.056947 \nL 115.138024 122.631469 \nL 116.389531 122.446768 \nL 117.819822 122.501651 \nL 119.408516 122.790063 \nL 121.13256 123.301614 \nL 122.966885 124.022259 \nL 124.885142 124.935059 \nL 126.860456 126.020995 \nL 130.876123 128.630566 \nL 134.812718 131.685685 \nL 138.496565 135.029539 \nL 141.790084 138.524217 \nL 144.59387 142.054248 \nL 146.843706 145.525284 \nL 147.749005 147.214022 \nL 148.504572 148.860132 \nL 149.10941 150.455845 \nL 149.563436 151.993852 \nL 149.867311 153.467168 \nL 150.022236 154.869004 \nL 150.029821 156.192672 \nL 149.89195 157.431479 \nL 149.610689 158.578635 \nL 149.188213 159.627171 \nL 148.626767 160.56989 \nL 147.928646 161.399321 \nL 147.096206 162.107667 \nL 146.131905 162.686801 \nL 145.038361 163.128246 \nL 143.818435 163.423233 \nL 142.475349 163.562714 \nL 141.012818 163.537469 \nL 139.435211 163.338218 \nL 137.747732 162.95581 \nL 135.956618 162.381418 \nL 134.069375 161.606845 \nL 132.094999 160.624867 \nL 130.044219 159.429652 \nL 127.929755 158.017257 \nL 125.766548 156.386192 \nL 123.571967 154.53805 \nL 121.365963 152.478163 \nL 119.171205 150.216287 \nL 117.013086 147.767262 \nL 114.91963 145.151567 \nL 112.921286 142.395786 \nL 111.050522 139.532805 \nL 109.341273 136.601781 \nL 107.828199 133.647695 \nL 106.545739 130.720543 \nL 105.526983 127.874049 \nL 104.802457 125.163991 \nL 104.398797 122.646121 \nL 104.33742 120.373857 \nL 104.633311 118.395872 \nL 105.293979 116.753796 \nL 106.318718 115.4802 \nL 107.69822 114.597141 \nL 109.41461 114.115295 \nL 111.44193 114.033895 \nL 113.74703 114.341343 \nL 116.290827 115.016504 \nL 119.029803 116.030465 \nL 121.917697 117.348632 \nL 124.907177 118.932831 \nL 127.951476 120.743412 \nL 131.005803 122.740996 \nL 134.028531 124.887954 \nL 136.982089 127.149438 \nL 139.833556 129.494053 \nL 142.554972 131.894164 \nL 145.123382 134.325943 \nL 147.520689 136.769185 \nL 149.733332 139.206994 \nL 151.751842 141.625366 \nL 153.570346 144.012761 \nL 155.186024 146.359678 \nL 156.598559 148.658237 \nL 157.80962 150.901802 \nL 158.82238 153.084683 \nL 159.641057 155.201842 \nL 160.270549 157.248655 \nL 160.716087 159.22072 \nL 160.982959 161.11369 \nL 161.076293 162.92311 \nL 161.000857 164.644317 \nL 160.760949 166.272303 \nL 160.36029 167.801628 \nL 159.801962 169.226304 \nL 159.088391 170.539704 \nL 158.221351 171.734476 \nL 157.201983 172.802441 \nL 156.030873 173.734517 \nL 154.708116 174.520603 \nL 153.233454 175.149538 \nL 151.606394 175.609029 \nL 149.826398 175.885594 \nL 147.893073 175.964571 \nL 145.806437 175.830148 \nL 143.567196 175.465455 \nL 141.177087 174.852717 \nL 138.639255 173.973546 \nL 135.958706 172.809333 \nL 133.142792 171.341799 \nL 130.201757 169.553735 \nL 127.149329 167.429933 \nL 124.003323 164.958366 \nL 120.786271 162.131625 \nL 117.526015 158.948522 \nL 114.256205 155.41595 \nL 111.016688 151.550804 \nL 107.853666 147.381912 \nL 104.819565 142.951721 \nL 101.972522 138.317589 \nL 99.37537 133.552292 \nL 97.094121 128.743565 \nL 95.195814 123.992323 \nL 93.745863 119.409423 \nL 92.804866 115.110935 \nL 92.425172 111.212109 \nL 92.647366 107.820459 \nL 93.497045 105.028694 \nL 94.982216 102.908252 \nL 97.091692 101.504302 \nL 99.794712 100.832996 \nL 103.041867 100.881303 \nL 106.767435 101.609462 \nL 110.892762 102.95569 \nL 115.330445 104.842322 \nL 119.988836 107.182638 \nL 124.776501 109.887357 \nL 129.606144 112.870254 \nL 134.397847 116.052367 \nL 139.081356 119.364647 \nL 143.597486 122.749269 \nL 147.898651 126.159691 \nL 151.948676 129.559912 \nL 155.722087 132.923221 \nL 159.203013 136.230648 \nL 162.383879 139.469444 \nL 165.264016 142.631617 \nL 167.848295 145.712714 \nL 170.145829 148.710766 \nL 172.168819 151.625474 \nL 173.931535 154.457615 \nL 175.449464 157.208543 \nL 176.7386 159.879906 \nL 177.814872 162.473418 \nL 178.693708 164.990708 \nL 179.389693 167.433242 \nL 179.916331 169.802257 \nL 180.285874 172.098735 \nL 180.50922 174.323382 \nL 180.595844 176.476601 \nL 180.553783 178.558493 \nL 180.389645 180.568827 \nL 180.108621 182.507008 \nL 179.71453 184.372054 \nL 179.20986 186.162532 \nL 178.595819 187.876532 \nL 177.87238 189.51158 \nL 177.038325 191.06456 \nL 176.091298 192.531615 \nL 175.027841 193.908039 \nL 173.843438 195.188142 \nL 172.532553 196.365106 \nL 171.088677 197.430794 \nL 169.504365 198.37556 \nL 167.771304 199.188031 \nL 165.880367 199.854834 \nL 163.821716 200.360343 \nL 161.584908 200.686358 \nL 159.159066 200.811804 \nL 156.533071 200.712405 \nL 153.695851 200.360368 \nL 150.636723 199.72412 \nL 147.345874 198.768109 \nL 143.814941 197.452735 \nL 140.037765 195.734475 \nL 136.011307 193.566322 \nL 131.736804 190.898618 \nL 127.221134 187.680462 \nL 122.478412 183.861824 \nL 117.531868 179.396622 \nL 112.415873 174.246793 \nL 107.178135 168.387637 \nL 101.881824 161.8143 \nL 96.607532 154.549308 \nL 91.454624 146.650649 \nL 86.541691 138.219507 \nL 82.005603 129.406478 \nL 77.998594 120.414429 \nL 74.683021 111.496222 \nL 72.223494 102.945421 \nL 70.776455 95.079026 \nL 70.477806 88.212587 \nL 71.429798 82.630047 \nL 73.688806 78.552592 \nL 77.256093 76.112301 \nL 82.073354 75.336244 \nL 88.024372 76.144984 \nL 94.94295 78.366117 \nL 102.626079 81.759951 \nL 110.850393 86.051548 \nL 119.389232 90.962543 \nL 128.02803 96.237243 \nL 136.576227 101.659868 \nL 152.799926 112.32468 \nL 167.204479 122.152719 \nL 179.433891 130.886847 \nL 184.725432 134.850135 \nL 189.496239 138.566358 \nL 193.779913 142.056141 \nL 197.616027 145.340217 \nL 201.047506 148.437928 \nL 206.873456 154.140504 \nL 211.603964 159.271211 \nL 217.328972 166.037325 \nL 222.191301 171.769078 \nL 225.304043 175.011302 \nL 226.885931 176.449104 \nL 228.509189 177.757514 \nL 230.190232 178.929532 \nL 231.944179 179.95678 \nL 233.784978 180.829418 \nL 235.725497 181.53605 \nL 237.777549 182.063627 \nL 239.951904 182.39737 \nL 242.258221 182.520671 \nL 244.704942 182.415084 \nL 247.299087 182.060344 \nL 250.046 181.434463 \nL 252.949008 180.513919 \nL 256.008974 179.274029 \nL 259.223785 177.689497 \nL 262.58771 175.73518 \nL 266.090694 173.387162 \nL 269.717534 170.624199 \nL 273.44704 167.42948 \nL 277.25114 163.792831 \nL 281.09403 159.713295 \nL 284.931434 155.202038 \nL 288.710089 150.285371 \nL 292.367569 145.007737 \nL 295.832604 139.434271 \nL 299.026066 133.652454 \nL 301.862751 127.77236 \nL 304.254036 121.92499 \nL 306.111537 116.258253 \nL 307.351552 110.930367 \nL 307.900207 106.100856 \nL 307.698783 101.91981 \nL 306.708813 98.516561 \nL 304.916259 95.989037 \nL 302.33423 94.395729 \nL 299.003748 93.751272 \nL 294.992265 94.026634 \nL 290.390064 95.153858 \nL 285.304868 97.034384 \nL 279.855325 99.549728 \nL 274.164082 102.572591 \nL 268.351211 105.977085 \nL 262.528632 109.646707 \nL 256.795847 113.479759 \nL 251.237234 117.392095 \nL 245.920757 121.317548 \nL 240.897931 125.206848 \nL 236.204745 129.025375 \nL 231.863238 132.750588 \nL 227.883422 136.369302 \nL 224.265371 139.875289 \nL 221.001265 143.267178 \nL 218.077286 146.546784 \nL 215.475313 149.717878 \nL 213.174366 152.785253 \nL 211.151811 155.754102 \nL 209.384321 158.629603 \nL 207.84864 161.416694 \nL 206.522151 164.119938 \nL 205.383287 166.743471 \nL 204.411818 169.291004 \nL 202.89782 174.17098 \nL 201.849881 178.782417 \nL 201.163372 183.143627 \nL 200.757374 187.269909 \nL 200.571681 191.174432 \nL 200.56355 194.868818 \nL 200.82565 200.038711 \nL 201.378691 204.788977 \nL 201.906781 207.734845 \nL 202.57213 210.510345 \nL 203.391076 213.118876 \nL 204.387041 215.561338 \nL 205.590968 217.835248 \nL 207.042136 219.933485 \nL 208.789343 221.842391 \nL 210.892428 223.539064 \nL 212.099589 224.297194 \nL 213.424101 224.98742 \nL 214.877402 225.602248 \nL 216.471989 226.132521 \nL 218.221491 226.567102 \nL 220.140712 226.892494 \nL 222.245674 227.092393 \nL 224.553625 227.147168 \nL 227.08303 227.033252 \nL 229.853489 226.722467 \nL 232.885614 226.181254 \nL 236.20078 225.369828 \nL 239.820794 224.241304 \nL 243.76735 222.740811 \nL 248.061282 220.804677 \nL 252.721554 218.35984 \nL 257.763852 215.323596 \nL 263.198777 211.604029 \nL 269.029454 207.101412 \nL 275.248558 201.711082 \nL 281.834615 195.328369 \nL 288.747601 187.856224 \nL 295.923892 179.216212 \nL 303.270792 169.363397 \nL 310.661011 158.305123 \nL 317.927954 146.122909 \nL 324.862752 132.995298 \nL 331.214632 119.217746 \nL 336.696231 105.213515 \nL 340.995676 91.528296 \nL 343.796389 78.801396 \nL 344.804549 67.709493 \nL 343.782078 58.885803 \nL 340.580571 52.82679 \nL 335.16952 49.807441 \nL 327.65182 49.829122 \nL 318.261195 52.618157 \nL 307.340266 57.678135 \nL 295.303034 64.381144 \nL 282.589789 72.071453 \nL 256.777448 88.153226 \nL 244.351589 95.730289 \nL 232.568465 102.679747 \nL 221.574971 108.903623 \nL 211.452659 114.382197 \nL 202.230677 119.14624 \nL 193.89901 123.25468 \nL 186.420362 126.778638 \nL 173.793208 132.360811 \nL 163.824769 136.410249 \nL 155.975016 139.321801 \nL 149.761669 141.372332 \nL 144.785559 142.749144 \nL 140.732438 143.578549 \nL 137.364778 143.948249 \nL 134.510323 143.923422 \nL 132.050447 143.557875 \nL 129.90952 142.90164 \nL 128.045522 142.006026 \nL 126.441773 140.926692 \nL 125.099598 139.724951 \nL 124.031602 138.467501 \nL 123.255474 137.22466 \nL 122.788346 136.067278 \nL 122.641803 135.06275 \nL 122.817821 134.270565 \nL 123.305933 133.738178 \nL 124.081824 133.497724 \nL 125.107559 133.564181 \nL 126.333239 133.935151 \nL 127.699861 134.592248 \nL 129.142992 135.503683 \nL 130.596659 136.627581 \nL 131.997 137.91542 \nL 133.28539 139.315191 \nL 134.410638 140.773991 \nL 135.330405 142.239827 \nL 136.011801 143.662882 \nL 136.431354 144.996112 \nL 136.574626 146.195583 \nL 136.435618 147.220606 \nL 136.016214 148.0339 \nL 135.325758 148.601921 \nL 134.380868 148.89545 \nL 133.205499 148.890648 \nL 131.831218 148.570492 \nL 130.297603 147.92665 \nL 128.652573 146.961798 \nL 126.95248 145.692049 \nL 125.261634 144.14924 \nL 123.651043 142.382651 \nL 122.196135 140.459515 \nL 120.973198 138.463739 \nL 120.054703 136.492416 \nL 119.503711 134.649903 \nL 119.367917 133.039895 \nL 119.465058 132.352086 \nL 119.674197 131.756406 \nL 119.994766 131.261648 \nL 120.424498 130.874992 \nL 120.959438 130.601856 \nL 121.593987 130.445787 \nL 122.321012 130.408439 \nL 124.017076 130.687255 \nL 125.965704 131.415909 \nL 128.072246 132.548369 \nL 130.236809 134.021498 \nL 132.361447 135.761945 \nL 134.356118 137.692382 \nL 136.142864 139.736218 \nL 137.658122 141.820651 \nL 138.853312 143.878176 \nL 139.694192 145.846847 \nL 140.159362 147.669863 \nL 140.238541 149.294728 \nL 139.930866 150.672427 \nL 139.633941 151.254069 \nL 139.243621 151.756819 \nL 138.761971 152.175338 \nL 138.191507 152.504466 \nL 137.535214 152.739274 \nL 136.796567 152.875096 \nL 135.08877 152.832827 \nL 133.107166 152.348354 \nL 130.901437 151.402155 \nL 128.533573 149.98872 \nL 126.07931 148.121628 \nL 123.628755 145.83889 \nL 121.285638 143.207809 \nL 119.164509 140.327881 \nL 117.385363 137.330366 \nL 116.065514 134.373023 \nL 115.611205 132.963392 \nL 115.3091 131.629224 \nL 115.168226 130.392012 \nL 115.195318 129.272047 \nL 115.39455 128.287826 \nL 115.767279 127.455479 \nL 116.311896 126.788301 \nL 117.023766 126.296366 \nL 117.895265 125.986291 \nL 118.915921 125.861139 \nL 120.072646 125.920448 \nL 121.350073 126.160441 \nL 122.730946 126.574321 \nL 124.196571 127.152662 \nL 127.302975 128.754721 \nL 130.508956 130.85692 \nL 133.660372 133.337919 \nL 136.620163 136.077052 \nL 139.275175 138.96243 \nL 141.538772 141.894869 \nL 143.350013 144.788469 \nL 144.670528 147.569069 \nL 145.480221 150.171613 \nL 145.691122 151.387562 \nL 145.772817 152.537251 \nL 145.726032 153.613856 \nL 145.551914 154.610605 \nL 145.251967 155.52077 \nL 144.828004 156.337569 \nL 144.282123 157.054188 \nL 143.616698 157.663719 \nL 142.834402 158.159194 \nL 141.938236 158.533568 \nL 140.931586 158.779779 \nL 139.818298 158.890799 \nL 138.602763 158.85972 \nL 137.290035 158.679872 \nL 135.885944 158.344987 \nL 134.397241 157.849358 \nL 132.831731 157.188091 \nL 131.198431 156.357356 \nL 129.507708 155.354713 \nL 127.771428 154.179446 \nL 126.00307 152.832946 \nL 124.217825 151.319101 \nL 122.432672 149.644718 \nL 120.666367 147.819894 \nL 118.939388 145.85837 \nL 117.273825 143.777809 \nL 115.693122 141.59995 \nL 114.221773 139.350629 \nL 112.884878 137.059601 \nL 111.707604 134.760173 \nL 110.71453 132.488548 \nL 109.92891 130.282997 \nL 109.371881 128.182742 \nL 109.061647 126.226694 \nL 109.012659 124.452071 \nL 109.234899 122.89298 \nL 109.733256 121.579034 \nL 110.507085 120.534191 \nL 111.549982 119.775848 \nL 112.849795 119.31425 \nL 114.388888 119.152338 \nL 116.144659 119.285951 \nL 118.090253 119.704411 \nL 120.195446 120.391426 \nL 122.427661 121.326171 \nL 124.753003 122.484517 \nL 127.137308 123.840245 \nL 129.547081 125.366175 \nL 131.950356 127.035203 \nL 134.317369 128.821084 \nL 138.837575 132.646246 \nL 142.929383 136.667573 \nL 144.77317 138.706752 \nL 146.466368 140.745095 \nL 148.000638 142.770031 \nL 149.370115 144.770558 \nL 150.571078 146.737037 \nL 151.601617 148.660924 \nL 152.461302 150.534541 \nL 153.150858 152.350878 \nL 153.671893 154.103403 \nL 154.026632 155.78588 \nL 154.217694 157.392221 \nL 154.247907 158.916351 \nL 154.120161 160.352098 \nL 153.83728 161.693071 \nL 153.401952 162.932577 \nL 152.816663 164.063528 \nL 152.083693 165.078376 \nL 151.205118 165.969043 \nL 150.182842 166.726874 \nL 149.018677 167.342606 \nL 147.71442 167.806336 \nL 146.27199 168.107541 \nL 144.693574 168.235107 \nL 142.981815 168.177418 \nL 141.140013 167.922448 \nL 139.17238 167.457975 \nL 137.084306 166.771821 \nL 134.882673 165.85219 \nL 132.576171 164.688096 \nL 130.175661 163.269919 \nL 127.694536 161.59006 \nL 125.149069 159.643717 \nL 122.558782 157.429782 \nL 119.94672 154.95181 \nL 117.3397 152.219082 \nL 114.768429 149.247649 \nL 112.267468 146.061314 \nL 109.875026 142.69241 \nL 107.632529 139.182346 \nL 105.583863 135.581663 \nL 103.7744 131.949593 \nL 102.24965 128.352901 \nL 101.053666 124.864048 \nL 100.227225 121.558616 \nL 99.805852 118.512095 \nL 99.817819 115.796245 \nL 100.282319 113.475307 \nL 101.207933 111.602457 \nL 102.591541 110.216844 \nL 104.417883 109.341477 \nL 106.659774 108.982429 \nL 109.279022 109.129177 \nL 112.228018 109.756218 \nL 115.451797 110.825599 \nL 118.890484 112.290155 \nL 122.481852 114.096975 \nL 126.163795 116.190756 \nL 129.876583 118.516769 \nL 133.564728 121.023235 \nL 137.178394 123.662982 \nL 140.674325 126.394456 \nL 144.016319 129.182144 \nL 147.175293 131.996468 \nL 150.129027 134.813401 \nL 152.861652 137.61384 \nL 155.362969 140.382892 \nL 157.62768 143.10913 \nL 159.654583 145.783904 \nL 161.445777 148.400708 \nL 163.005898 150.954629 \nL 164.341445 153.441914 \nL 165.460163 155.859578 \nL 166.370514 158.205148 \nL 167.081243 160.476397 \nL 167.601002 162.671177 \nL 167.938064 164.787278 \nL 168.10009 166.822295 \nL 168.093959 168.773533 \nL 167.925643 170.637914 \nL 167.600128 172.41188 \nL 167.121363 174.091338 \nL 166.49224 175.671529 \nL 165.714605 177.146951 \nL 164.789281 178.511251 \nL 163.716116 179.757128 \nL 162.494053 180.87619 \nL 161.121201 181.858841 \nL 159.594953 182.694131 \nL 157.912102 183.369641 \nL 156.068997 183.871334 \nL 154.061715 184.18343 \nL 151.886303 184.288309 \nL 149.539023 184.166432 \nL 147.016682 183.796322 \nL 144.317014 183.154646 \nL 141.439133 182.21637 \nL 138.384066 180.95509 \nL 135.155391 179.343547 \nL 131.75995 177.354398 \nL 128.208676 174.961297 \nL 124.517485 172.140338 \nL 120.708276 168.871905 \nL 116.809893 165.142982 \nL 112.859135 160.949876 \nL 108.901627 156.301355 \nL 104.992472 151.221975 \nL 101.196547 145.755401 \nL 97.588294 139.967358 \nL 94.250832 133.947638 \nL 91.27417 127.810697 \nL 88.752446 121.69414 \nL 86.780128 115.754625 \nL 85.447247 110.160912 \nL 84.833867 105.084149 \nL 85.004223 100.686163 \nL 86.001143 97.106845 \nL 87.841321 94.452343 \nL 90.512262 92.785943 \nL 93.971337 92.123081 \nL 98.147315 92.431484 \nL 102.944258 93.636405 \nL 108.247418 95.630007 \nL 113.930403 98.283246 \nL 119.862734 101.458246 \nL 125.917037 105.019517 \nL 131.97508 108.84271 \nL 137.9323 112.820274 \nL 143.700653 116.864262 \nL 149.20988 120.906501 \nL 154.407383 124.897131 \nL 159.257126 128.802013 \nL 163.737841 132.59973 \nL 167.840869 136.278606 \nL 171.567895 139.834044 \nL 174.92873 143.266291 \nL 177.939291 146.578674 \nL 180.619811 149.776292 \nL 182.993326 152.865091 \nL 185.084432 155.851228 \nL 186.918294 158.740683 \nL 188.519878 161.539049 \nL 189.913385 164.251419 \nL 191.121846 166.882363 \nL 193.068369 171.915731 \nL 194.51251 176.666444 \nL 195.580684 181.156192 \nL 196.374227 185.402756 \nL 197.218362 191.349069 \nL 197.982808 198.552952 \nL 199.246884 210.789853 \nL 199.842104 214.722295 \nL 200.592858 218.333341 \nL 201.564228 221.639468 \nL 202.373529 223.678963 \nL 203.346147 225.587103 \nL 204.517891 227.360737 \nL 205.932143 228.992303 \nL 207.641584 230.467939 \nL 209.710189 231.764684 \nL 212.215521 232.846376 \nL 213.660538 233.290245 \nL 215.251276 233.657664 \nL 217.002402 233.937291 \nL 218.929911 234.115303 \nL 221.051188 234.174898 \nL 223.385044 234.095716 \nL 225.951727 233.853147 \nL 228.772878 233.417553 \nL 231.871417 232.753367 \nL 235.271329 231.818098 \nL 238.997329 230.561251 \nL 243.074335 228.923219 \nL 247.526694 226.83421 \nL 252.377111 224.213359 \nL 257.645155 220.968205 \nL 263.345267 216.994845 \nL 269.484108 212.179198 \nL 276.057225 206.399914 \nL 283.044765 199.533705 \nL 290.406375 191.46391 \nL 298.0752 182.093214 \nL 305.951234 171.361279 \nL 313.894551 159.267501 \nL 321.71922 145.898055 \nL 329.189319 131.454673 \nL 336.018808 116.280138 \nL 341.877634 100.872706 \nL 346.406053 85.879589 \nL 349.239022 72.059819 \nL 350.04018 60.211271 \nL 348.542751 51.065992 \nL 344.591066 45.171501 \nL 338.173985 42.787244 \nL 329.440926 43.828855 \nL 318.693992 47.882105 \nL 306.355858 54.285359 \nL 292.919794 62.25555 \nL 250.880644 88.438039 \nL 237.600827 96.272195 \nL 225.122438 103.243743 \nL 213.575715 109.297263 \nL 203.021558 114.454879 \nL 193.468213 118.783986 \nL 184.88687 122.373505 \nL 177.224782 125.318235 \nL 170.415473 127.70969 \nL 164.38625 129.631367 \nL 159.063384 131.15699 \nL 154.375526 132.350364 \nL 150.255777 133.266149 \nL 143.481191 134.444673 \nL 138.320697 134.990375 \nL 134.446149 135.124542 \nL 131.606182 135.01597 \nL 128.878874 134.677835 \nL 127.329691 134.384878 \nL 127.355794 134.432699 \nL 130.846051 137.435698 \nL 132.24899 139.047147 \nL 133.466583 140.789983 \nL 134.359201 142.528981 \nL 134.723859 143.620443 \nL 134.881382 144.614028 \nL 134.821173 145.475066 \nL 134.540191 146.171839 \nL 134.04259 146.676065 \nL 133.339462 146.963572 \nL 132.448682 147.015137 \nL 131.394859 146.817541 \nL 130.209326 146.364898 \nL 128.930038 145.660108 \nL 127.60131 144.716374 \nL 126.273141 143.558498 \nL 125.000089 142.223776 \nL 123.839441 140.762025 \nL 122.848666 139.234594 \nL 122.082223 137.711913 \nL 121.587774 136.269727 \nL 121.402302 134.984029 \nL 121.548477 133.925335 \nL 122.031786 133.152928 \nL 122.396479 132.888304 \nL 123.354906 132.620293 \nL 124.583222 132.709769 \nL 126.025817 133.150054 \nL 127.615928 133.916158 \nL 129.280442 134.968225 \nL 130.944794 136.25574 \nL 132.537457 137.721764 \nL 133.993548 139.306645 \nL 135.257294 140.950862 \nL 136.283401 142.596913 \nL 137.037429 144.190426 \nL 137.4955 145.680535 \nL 137.643569 147.019956 \nL 137.47653 148.16486 \nL 136.997462 149.074812 \nL 136.217074 149.712948 \nL 135.153529 150.046546 \nL 133.8326 150.048081 \nL 132.288164 149.696846 \nL 130.562856 148.981233 \nL 128.708787 147.901489 \nL 126.787932 146.472856 \nL 124.871942 144.728673 \nL 123.041057 142.722833 \nL 121.381623 140.530944 \nL 119.98214 138.24929 \nL 118.927704 135.990936 \nL 118.293186 133.878682 \nL 118.152174 132.915997 \nL 118.135832 132.03524 \nL 118.247416 131.249852 \nL 118.488296 130.571852 \nL 118.857861 130.011523 \nL 119.353437 129.577149 \nL 119.970333 129.274836 \nL 120.70187 129.108395 \nL 121.539529 129.07932 \nL 122.473118 129.186835 \nL 124.580341 129.797961 \nL 126.917888 130.896246 \nL 129.370473 132.412931 \nL 131.822446 134.264979 \nL 134.165773 136.363442 \nL 136.305907 138.619988 \nL 138.165174 140.951178 \nL 139.683856 143.280526 \nL 140.819467 145.538905 \nL 141.544871 147.66385 \nL 141.845876 149.598261 \nL 141.71885 151.28902 \nL 141.496078 152.027226 \nL 141.168744 152.685823 \nL 140.738594 153.258825 \nL 140.207803 153.740364 \nL 139.578954 154.1247 \nL 138.855086 154.406228 \nL 138.039708 154.57956 \nL 137.136846 154.639561 \nL 136.151093 154.581419 \nL 135.087686 154.40077 \nL 132.752449 153.657455 \nL 130.188517 152.388695 \nL 127.468236 150.590712 \nL 124.680861 148.283573 \nL 121.933434 145.518299 \nL 119.349613 142.382933 \nL 117.065683 139.005833 \nL 115.223083 135.553935 \nL 114.51021 133.860686 \nL 113.957249 132.224094 \nL 113.577877 130.670778 \nL 113.383564 129.226801 \nL 113.383119 127.916924 \nL 113.582283 126.763772 \nL 113.983398 125.787108 \nL 114.585186 125.003179 \nL 115.382651 124.424207 \nL 116.367106 124.058063 \nL 117.526321 123.908152 \nL 118.84486 123.973457 \nL 120.304463 124.248837 \nL 121.884569 124.725412 \nL 123.562888 125.391148 \nL 125.316023 126.23147 \nL 128.951246 128.368816 \nL 132.603324 130.99472 \nL 136.102238 133.964405 \nL 139.305439 137.143414 \nL 142.102785 140.414082 \nL 144.416504 143.676946 \nL 146.197603 146.848876 \nL 147.420425 149.859568 \nL 147.819357 151.285003 \nL 148.076626 152.647554 \nL 148.192987 153.940289 \nL 148.169646 155.156392 \nL 148.008143 156.289065 \nL 147.710283 157.33147 \nL 147.278069 158.276637 \nL 146.713673 159.117453 \nL 146.019421 159.846601 \nL 145.197814 160.456533 \nL 144.251561 160.939505 \nL 143.183641 161.287559 \nL 141.997384 161.492575 \nL 140.696582 161.546341 \nL 139.285614 161.440677 \nL 137.769587 161.167541 \nL 136.15451 160.719239 \nL 134.447467 160.088659 \nL 132.656817 159.269548 \nL 130.792389 158.256867 \nL 128.865681 157.047178 \nL 126.890053 155.639107 \nL 124.880906 154.033859 \nL 122.855814 152.235748 \nL 120.834623 150.252722 \nL 118.839458 148.096945 \nL 116.894699 145.785226 \nL 115.026762 143.339426 \nL 113.263859 140.786665 \nL 111.635531 138.159336 \nL 110.172074 135.494839 \nL 108.903811 132.835024 \nL 107.860209 130.225265 \nL 107.068888 127.713229 \nL 106.554573 125.34731 \nL 106.337971 123.174833 \nL 106.434753 121.240132 \nL 106.854608 119.582644 \nL 107.600534 118.235138 \nL 108.668354 117.222286 \nL 110.046569 116.559697 \nL 111.716545 116.253443 \nL 113.65306 116.300198 \nL 115.825162 116.687936 \nL 118.197278 117.397042 \nL 120.73051 118.401851 \nL 123.384005 119.672257 \nL 126.116377 121.175466 \nL 128.886957 122.87756 \nL 131.65694 124.744909 \nL 134.390334 126.745273 \nL 137.054633 128.848632 \nL 139.621284 131.02771 \nL 142.065925 133.258217 \nL 144.368408 135.518907 \nL 146.512675 137.791453 \nL 148.486487 140.060212 \nL 150.281068 142.311904 \nL 151.890697 144.535298 \nL 153.312253 146.720858 \nL 154.544775 148.860422 \nL 155.589028 150.946885 \nL 156.447093 152.973953 \nL 157.121999 154.935887 \nL 157.617402 156.827295 \nL 157.937293 158.642976 \nL 158.085779 160.377744 \nL 158.066874 162.026302 \nL 157.884359 163.583107 \nL 157.541671 165.042282 \nL 157.041832 166.397498 \nL 156.387398 167.641891 \nL 155.580462 168.767981 \nL 154.622667 169.76757 \nL 153.515259 170.631688 \nL 152.259163 171.350524 \nL 150.855086 171.913377 \nL 149.303662 172.308613 \nL 147.60561 172.523685 \nL 145.76193 172.545135 \nL 143.774155 172.358685 \nL 141.644613 171.949386 \nL 139.376737 171.301799 \nL 136.975439 170.400351 \nL 134.447482 169.229724 \nL 131.801951 167.775428 \nL 129.050686 166.024549 \nL 126.208791 163.966598 \nL 123.295146 161.594606 \nL 120.332857 158.906364 \nL 117.349706 155.905822 \nL 114.378445 152.604561 \nL 111.457024 149.023289 \nL 108.628522 145.193265 \nL 105.940871 141.157397 \nL 103.446185 136.970918 \nL 101.19975 132.701377 \nL 99.2585 128.427776 \nL 97.67913 124.238645 \nL 96.515762 120.229012 \nL 95.817307 116.496327 \nL 95.62471 113.135518 \nL 95.968218 110.233543 \nL 96.865016 107.864059 \nL 98.317364 106.082672 \nL 100.31161 104.923568 \nL 102.81814 104.397628 \nL 105.792366 104.492742 \nL 109.176709 105.175783 \nL 112.903373 106.396312 \nL 116.897679 108.091267 \nL 121.081641 110.190131 \nL 125.377454 112.61983 \nL 129.710594 115.309061 \nL 134.012403 118.191564 \nL 138.221962 121.208388 \nL 142.287272 124.309025 \nL 146.165789 127.451726 \nL 149.82436 130.603093 \nL 153.238748 133.737265 \nL 156.392837 136.834866 \nL 159.277614 139.881839 \nL 161.890081 142.868378 \nL 164.23216 145.787904 \nL 166.309612 148.63625 \nL 168.131075 151.410931 \nL 169.707187 154.110627 \nL 171.049838 156.734749 \nL 172.171537 159.2831 \nL 173.084894 161.755682 \nL 173.802203 164.15251 \nL 174.335123 166.473482 \nL 174.694427 168.718317 \nL 174.889829 170.88647 \nL 174.929862 172.97707 \nL 174.821805 174.988871 \nL 174.571635 176.92022 \nL 174.184019 178.768984 \nL 173.662318 180.532469 \nL 173.008615 182.207381 \nL 172.223745 183.789721 \nL 171.307341 185.274679 \nL 170.257886 186.656548 \nL 169.072768 187.928566 \nL 167.74835 189.082784 \nL 166.280035 190.1099 \nL 164.662362 190.999084 \nL 162.8891 191.737776 \nL 160.95337 192.311473 \nL 158.847798 192.703518 \nL 156.564691 192.89488 \nL 154.09628 192.863942 \nL 151.435 192.586332 \nL 148.573852 192.034797 \nL 145.506856 191.179162 \nL 142.229588 189.986428 \nL 138.739867 188.421064 \nL 135.038563 186.445562 \nL 131.130557 184.021322 \nL 127.02587 181.110042 \nL 122.740944 177.675595 \nL 118.300058 173.686653 \nL 113.736855 169.120009 \nL 109.095887 163.96467 \nL 104.434041 158.226717 \nL 99.821727 151.93462 \nL 95.343537 145.144718 \nL 91.098152 137.946141 \nL 87.197164 130.464362 \nL 83.762477 122.862242 \nL 80.922107 115.337445 \nL 78.804203 108.115233 \nL 77.529443 101.43619 \nL 77.202293 95.539208 \nL 77.90182 90.641381 \nL 79.67322 86.917226 \nL 82.521328 84.480738 \nL 86.407184 83.373711 \nL 91.248618 83.562676 \nL 96.924922 84.945305 \nL 103.285222 87.365041 \nL 110.159394 90.630856 \nL 117.369963 94.538553 \nL 124.743472 98.889869 \nL 132.120045 103.506977 \nL 139.360342 108.24129 \nL 146.349625 112.976864 \nL 152.999227 117.629436 \nL 159.245852 122.142749 \nL 165.049373 126.483344 \nL 170.389732 130.635178 \nL 175.263462 134.594559 \nL 179.680202 138.365956 \nL 183.659471 141.958699 \nL 187.227831 145.384558 \nL 190.416489 148.656054 \nL 193.259361 151.785424 \nL 195.79154 154.783954 \nL 198.048137 157.661681 \nL 201.870309 163.088075 \nL 204.981037 168.118313 \nL 208.794082 174.99427 \nL 212.122817 181.115629 \nL 214.31567 184.780858 \nL 216.627644 188.100388 \nL 217.861534 189.623299 \nL 219.163983 191.0494 \nL 220.547036 192.37323 \nL 222.022558 193.588156 \nL 223.602338 194.686203 \nL 225.298174 195.657873 \nL 227.121933 196.491934 \nL 229.085584 197.175193 \nL 231.201188 197.692233 \nL 233.480847 198.025153 \nL 235.936616 198.153269 \nL 238.580339 198.052854 \nL 241.423417 197.696864 \nL 244.476477 197.05474 \nL 247.748945 196.092277 \nL 251.248481 194.771632 \nL 254.98027 193.051559 \nL 258.946121 190.887919 \nL 263.143383 188.234624 \nL 267.563644 185.045099 \nL 272.191227 181.274479 \nL 277.001448 176.882591 \nL 281.958772 171.837982 \nL 287.01483 166.122938 \nL 292.106561 159.739564 \nL 297.154613 152.716613 \nL 302.06232 145.116642 \nL 306.715593 137.04262 \nL 310.984192 128.642856 \nL 314.724808 120.112661 \nL 317.786245 111.691174 \nL 320.016951 103.651917 \nL 321.274687 96.286404 \nL 321.437771 89.881341 \nL 320.416787 84.691759 \nL 318.165196 80.913906 \nL 314.687182 78.662785 \nL 310.041088 77.959121 \nL 304.337478 78.728918 \nL 297.731754 80.815739 \nL 290.412214 84.003362 \nL 282.585406 88.043733 \nL 274.460885 92.684739 \nL 266.237505 97.693203 \nL 258.092703 102.870265 \nL 242.603315 113.144507 \nL 228.806995 122.733388 \nL 217.057849 131.362254 \nL 211.964344 135.312961 \nL 207.368037 139.037901 \nL 203.238976 142.554217 \nL 199.541175 145.879735 \nL 196.235103 149.031494 \nL 193.279624 152.024923 \nL 188.256236 157.588333 \nL 184.155807 162.652234 \nL 179.126914 169.417802 \nL 174.753431 175.243935 \nL 171.891705 178.597853 \nL 170.419498 180.106572 \nL 168.897473 181.49645 \nL 167.310347 182.760954 \nL 165.643775 183.892229 \nL 163.884223 184.880962 \nL 162.018884 185.716251 \nL 160.035622 186.385476 \nL 157.922951 186.874128 \nL 155.670088 187.165669 \nL 153.267042 187.241405 \nL 150.704762 187.080406 \nL 147.975386 186.659422 \nL 145.072543 185.952961 \nL 141.991779 184.933414 \nL 138.73106 183.5714 \nL 135.291419 181.836299 \nL 131.677695 179.697068 \nL 127.899438 177.123437 \nL 123.971887 174.087517 \nL 119.917054 170.565905 \nL 115.764904 166.542344 \nL 111.554456 162.010916 \nL 107.334861 156.979714 \nL 103.166161 151.474846 \nL 99.11974 145.544431 \nL 95.278092 139.262159 \nL 91.73382 132.729821 \nL 88.587607 126.078002 \nL 85.944945 119.464273 \nL 83.911648 113.068106 \nL 82.588145 107.082305 \nL 82.062942 101.700994 \nL 82.405653 97.105292 \nL 83.66047 93.44802 \nL 85.840808 90.839881 \nL 88.92605 89.339248 \nL 92.860972 88.947501 \nL 97.558176 89.610823 \nL 102.903391 91.228217 \nL 108.762929 93.664124 \nL 114.992446 96.763439 \nL 121.445873 100.366332 \nL 127.983494 104.320902 \nL 134.478462 108.492294 \nL 140.821351 112.767959 \nL 146.922651 117.059385 \nL 152.71345 121.301113 \nL 158.144662 125.447984 \nL 163.185248 129.471553 \nL 167.819811 133.356324 \nL 172.045956 137.09625 \nL 175.871632 140.691764 \nL 179.312671 144.147398 \nL 182.390584 147.470024 \nL 185.130687 150.667574 \nL 187.560558 153.748211 \nL 189.708802 156.719781 \nL 191.604092 159.589542 \nL 193.274463 162.36401 \nL 196.046491 167.64932 \nL 198.220955 172.61322 \nL 199.965865 177.283703 \nL 202.077261 183.783299 \nL 205.105057 193.374278 \nL 206.374342 196.79719 \nL 207.773757 199.985926 \nL 209.362837 202.935121 \nL 211.202121 205.632565 \nL 212.23556 206.880621 \nL 213.356281 208.056809 \nL 214.573474 209.156442 \nL 215.896917 210.173763 \nL 217.337051 211.101748 \nL 218.90504 211.931887 \nL 220.612816 212.653926 \nL 222.47312 213.255564 \nL 224.499519 213.722105 \nL 226.706395 214.036073 \nL 229.108901 214.17676 \nL 231.72287 214.119737 \nL 234.564665 213.836327 \nL 237.650933 213.293044 \nL 240.998279 212.451025 \nL 244.622771 211.265532 \nL 248.539308 209.685525 \nL 252.760743 207.653458 \nL 257.296751 205.10541 \nL 262.152401 201.971698 \nL 267.326318 198.178292 \nL 272.808469 193.649235 \nL 278.577493 188.310479 \nL 284.597603 182.095465 \nL 290.815129 174.952837 \nL 297.154897 166.856453 \nL 303.516676 157.817597 \nL 309.77228 147.898905 \nL 315.763882 137.22854 \nL 321.304483 126.012526 \nL 326.181482 114.541805 \nL 330.164334 103.190233 \nL 333.016901 92.399415 \nL 334.51456 82.64806 \nL 334.464974 74.406361 \nL 332.730311 68.080446 \nL 329.247409 63.956766 \nL 324.041865 62.15897 \nL 317.232503 62.628875 \nL 309.024163 65.137943 \nL 299.689454 69.326903 \nL 289.542576 74.763276 \nL 278.910037 81.002418 \nL 257.398532 94.33862 \nL 227.885119 112.75102 \nL 197.899849 130.999369 \nL 182.327287 140.630962 \nL 171.182156 147.889037 \nL 158.506784 156.291974 \nL 154.503353 158.566524 \nL 152.602448 159.477473 \nL 150.73709 160.234519 \nL 148.887576 160.833875 \nL 147.037207 161.2708 \nL 145.172125 161.539774 \nL 143.281188 161.634691 \nL 141.355867 161.549079 \nL 139.390195 161.276318 \nL 137.380741 160.809909 \nL 135.326624 160.143789 \nL 133.229548 159.272687 \nL 131.093881 158.192525 \nL 128.926713 156.900925 \nL 126.73797 155.397698 \nL 124.540462 153.685456 \nL 122.349942 151.770192 \nL 120.185119 149.661886 \nL 118.067567 147.375123 \nL 116.021598 144.929553 \nL 114.073989 142.35031 \nL 112.253554 139.668166 \nL 110.590635 136.919489 \nL 109.116343 134.145865 \nL 107.861718 131.393342 \nL 106.856685 128.711343 \nL 106.12894 126.151162 \nL 105.702764 123.764168 \nL 105.597815 121.599768 \nL 105.828038 119.703293 \nL 106.400689 118.11396 \nL 107.315676 116.863051 \nL 108.565137 115.972571 \nL 110.133444 115.454409 \nL 111.99758 115.310135 \nL 114.12785 115.531442 \nL 116.488963 116.101169 \nL 119.041341 116.994753 \nL 121.742584 118.182003 \nL 124.548974 119.628973 \nL 127.416934 121.299783 \nL 130.304361 123.158279 \nL 133.17173 125.169389 \nL 135.982982 127.300168 \nL 138.706118 129.5205 \nL 141.313563 131.803494 \nL 143.782284 134.125592 \nL 146.09372 136.466505 \nL 148.23354 138.808987 \nL 150.191281 141.138514 \nL 151.959939 143.442915 \nL 153.535474 145.711998 \nL 154.916332 147.937166 \nL 156.102968 150.111101 \nL 157.097394 152.22744 \nL 157.902762 154.280513 \nL 158.522992 156.265116 \nL 158.962457 158.176303 \nL 159.225714 160.009221 \nL 159.31727 161.758965 \nL 159.241409 163.420444 \nL 159.002056 164.98826 \nL 158.60268 166.45662 \nL 158.046234 167.819215 \nL 157.335122 169.069143 \nL 156.471208 170.198806 \nL 155.455843 171.199845 \nL 154.289923 172.063033 \nL 152.973982 172.778228 \nL 151.508303 173.334317 \nL 149.893054 173.719156 \nL 148.12848 173.919567 \nL 146.21511 173.921375 \nL 144.154002 173.709467 \nL 141.947036 173.267912 \nL 139.597246 172.580214 \nL 137.109203 171.629597 \nL 134.489433 170.399473 \nL 131.746902 168.874029 \nL 128.893515 167.039004 \nL 125.944642 164.88263 \nL 122.919689 162.396821 \nL 119.842607 159.578497 \nL 116.742379 156.431139 \nL 113.653382 152.966431 \nL 110.615619 149.205926 \nL 107.674706 145.182612 \nL 104.88157 140.942188 \nL 102.291735 136.543836 \nL 99.96421 132.060229 \nL 97.959866 127.576571 \nL 96.33933 123.188462 \nL 95.160402 118.998487 \nL 94.475156 115.111618 \nL 94.326904 111.629647 \nL 94.747173 108.645148 \nL 95.753134 106.235475 \nL 97.345613 104.457671 \nL 99.508084 103.344776 \nL 102.206745 102.904158 \nL 105.391764 103.118045 \nL 108.999573 103.946213 \nL 112.956092 105.330326 \nL 117.180461 107.199406 \nL 121.589 109.475584 \nL 126.098985 112.079544 \nL 130.631986 114.935105 \nL 135.116528 117.972603 \nL 139.489961 121.131031 \nL 143.699573 124.359021 \nL 147.70297 127.614883 \nL 151.467873 130.86596 \nL 154.97145 134.087588 \nL 158.199354 137.261812 \nL 161.144577 140.376086 \nL 163.806217 143.422096 \nL 166.188298 146.394672 \nL 168.298619 149.290924 \nL 170.147735 152.109521 \nL 171.748055 154.850155 \nL 173.113079 157.513126 \nL 174.256753 160.099038 \nL 175.192964 162.608609 \nL 175.935129 165.042503 \nL 176.495886 167.401241 \nL 176.886863 169.685139 \nL 177.118521 171.894221 \nL 177.200044 174.028233 \nL 177.13928 176.08656 \nL 176.942708 178.068203 \nL 176.615441 179.97174 \nL 176.161241 181.795267 \nL 175.582541 183.536355 \nL 174.880495 185.19194 \nL 174.055011 186.758289 \nL 173.104808 188.230846 \nL 172.027461 189.604161 \nL 170.819456 190.871727 \nL 169.476249 192.025842 \nL 167.992331 193.057431 \nL 166.361299 193.95586 \nL 164.57594 194.708706 \nL 162.628338 195.301542 \nL 160.510009 195.717681 \nL 158.212057 195.93793 \nL 155.725397 195.940327 \nL 153.041006 195.699916 \nL 150.15028 195.188539 \nL 147.045455 194.374733 \nL 143.720152 193.223723 \nL 140.170035 191.697596 \nL 136.39364 189.755744 \nL 132.393357 187.355641 \nL 128.176612 184.454093 \nL 123.757217 181.009095 \nL 119.156924 176.982396 \nL 114.407115 172.342907 \nL 109.550565 167.071039 \nL 104.643195 161.163959 \nL 99.755577 154.641599 \nL 94.974033 147.553035 \nL 90.400962 139.982642 \nL 86.154037 132.055035 \nL 82.36392 123.937568 \nL 79.170159 115.838941 \nL 76.715007 108.002687 \nL 75.135247 100.694624 \nL 74.552429 94.184333 \nL 75.062293 88.722203 \nL 76.724646 84.51482 \nL 79.555109 81.70279 \nL 83.520316 80.345168 \nL 88.537569 80.414013 \nL 94.479462 81.800377 \nL 101.182986 84.330563 \nL 108.461851 87.789249 \nL 116.120226 91.944743 \nL 123.966042 96.571984 \nL 131.822154 101.46993 \nL 139.534497 106.471997 \nL 154.05228 116.312241 \nL 166.855346 125.479618 \nL 172.520375 129.737526 \nL 177.685723 133.773214 \nL 182.36366 137.594837 \nL 186.577038 141.215359 \nL 190.35612 144.649875 \nL 193.735949 147.913788 \nL 196.754235 151.021692 \nL 199.449721 153.986754 \nL 204.025396 159.532296 \nL 207.755083 164.620931 \nL 212.323884 171.490338 \nL 216.296403 177.497947 \nL 218.89929 181.021411 \nL 221.629217 184.136154 \nL 223.079884 185.52906 \nL 224.606349 186.804106 \nL 226.221843 187.953513 \nL 227.939129 188.968054 \nL 229.770575 189.836862 \nL 231.72821 190.547272 \nL 233.823731 191.084615 \nL 236.068461 191.432021 \nL 238.473268 191.570222 \nL 241.048401 191.477386 \nL 243.803267 191.128965 \nL 246.74613 190.497634 \nL 249.883682 189.553312 \nL 253.220535 188.263358 \nL 256.758551 186.592932 \nL 260.496048 184.505709 \nL 264.426855 181.964889 \nL 268.539188 178.934734 \nL 272.814414 175.382657 \nL 277.225665 171.281953 \nL 281.736417 166.615274 \nL 286.299068 161.378792 \nL 290.853698 155.586962 \nL 295.32713 149.277636 \nL 299.63262 142.517032 \nL 303.670314 135.403956 \nL 307.328919 128.072268 \nL 310.488717 120.690661 \nL 313.026208 113.458659 \nL 314.82034 106.598105 \nL 315.760158 100.340012 \nL 315.753286 94.907374 \nL 314.734438 90.495879 \nL 312.672886 87.255053 \nL 309.577691 85.27312 \nL 305.499751 84.5685 \nL 300.53 85.089681 \nL 294.79386 86.723655 \nL 288.442508 89.311256 \nL 281.64221 92.6663 \nL 274.563113 96.59508 \nL 267.368924 100.913252 \nL 260.208512 105.458003 \nL 253.21005 110.094949 \nL 246.477806 114.720348 \nL 240.091272 119.259555 \nL 234.106187 123.663178 \nL 228.556827 127.902271 \nL 223.459037 131.96329 \nL 218.813526 135.843601 \nL 214.609112 139.547705 \nL 210.825721 143.084328 \nL 207.436992 146.464293 \nL 204.412467 149.699046 \nL 201.719373 152.799735 \nL 199.324011 155.776652 \nL 197.192811 158.638985 \nL 193.593636 164.050539 \nL 190.679498 169.084248 \nL 188.238418 173.773886 \nL 183.091364 184.105476 \nL 181.061185 187.69149 \nL 178.882842 190.952124 \nL 177.70825 192.453636 \nL 176.461479 193.864039 \nL 175.131299 195.178189 \nL 173.706485 196.389823 \nL 172.17572 197.491379 \nL 170.527515 198.473804 \nL 168.750148 199.326352 \nL 166.83163 200.036319 \nL 164.759707 200.588788 \nL 162.521891 200.966322 \nL 160.105541 201.14866 \nL 157.498 201.112387 \nL 154.686802 200.830606 \nL 151.659976 200.272662 \nL 148.406427 199.403896 \nL 144.916484 198.185542 \nL 141.182569 196.574779 \nL 137.200054 194.525076 \nL 132.968353 191.986886 \nL 128.492201 188.908889 \nL 123.783228 185.239924 \nL 118.86173 180.931764 \nL 113.758714 175.942993 \nL 108.518049 170.244009 \nL 103.198707 163.823313 \nL 97.876784 156.694902 \nL 92.647098 148.906392 \nL 87.623977 140.547115 \nL 82.940724 131.755033 \nL 78.747285 122.720817 \nL 75.205641 113.687181 \nL 72.48254 104.94153 \nL 70.739587 96.800659 \nL 70.121143 89.587369 \nL 70.741028 83.600817 \nL 72.669675 79.084571 \nL 75.923717 76.197811 \nL 80.46002 74.995943 \nL 86.175666 75.424996 \nL 92.914427 77.331654 \nL 100.478947 80.486833 \nL 108.646864 84.617268 \nL 117.18823 89.438694 \nL 125.881794 94.68426 \nL 134.528082 100.124402 \nL 151.038298 110.909727 \nL 165.788307 120.900505 \nL 178.3655 129.787888 \nL 188.743836 137.591221 \nL 193.168121 141.130881 \nL 197.132085 144.457464 \nL 200.678525 147.591116 \nL 206.697139 153.349308 \nL 211.57523 158.51912 \nL 217.452253 165.323384 \nL 222.403761 171.07778 \nL 225.55048 174.329506 \nL 227.143336 175.770822 \nL 228.774091 177.082089 \nL 230.459472 178.256418 \nL 232.214852 179.285551 \nL 234.05436 180.159792 \nL 235.990979 180.8679 \nL 238.036588 181.397012 \nL 240.201967 181.732571 \nL 242.496742 181.858244 \nL 244.929262 181.755923 \nL 247.506433 181.40572 \nL 250.233449 180.786117 \nL 253.113464 179.874136 \nL 256.147159 178.645726 \nL 259.332231 177.076315 \nL 262.662794 175.141572 \nL 266.128649 172.818484 \nL 269.714546 170.086737 \nL 273.399324 166.930475 \nL 277.155079 163.340444 \nL 280.946322 159.316508 \nL 284.729329 154.870411 \nL 288.451618 150.028738 \nL 292.051834 144.835727 \nL 295.460097 139.355712 \nL 298.598978 133.674621 \nL 301.385249 127.900199 \nL 303.732518 122.160292 \nL 305.554761 116.598912 \nL 306.770626 111.369876 \nL 307.308402 106.628092 \nL 307.111154 102.51932 \nL 306.141609 99.169205 \nL 304.386183 96.673221 \nL 301.857595 95.088851 \nL 298.595576 94.431379 \nL 294.665482 94.673957 \nL 290.15486 95.752054 \nL 285.168285 97.571377 \nL 279.821109 100.017928 \nL 274.232791 102.968739 \nL 268.52057 106.301642 \nL 262.793999 109.903067 \nL 257.150821 113.673347 \nL 251.674236 117.529512 \nL 246.431598 121.405924 \nL 241.474298 125.253236 \nL 236.838597 129.036412 \nL 232.547101 132.732243 \nL 228.61059 136.326802 \nL 225.030033 139.813071 \nL 221.798562 143.188951 \nL 218.903325 146.455594 \nL 216.327143 149.61618 \nL 214.049928 152.675017 \nL 212.049874 155.636881 \nL 210.304424 158.506617 \nL 208.791022 161.288881 \nL 207.487686 163.988005 \nL 206.373431 166.607939 \nL 205.428562 169.152248 \nL 203.975664 174.026357 \nL 203.002333 178.63196 \nL 202.40734 182.986576 \nL 202.113223 187.104679 \nL 202.063525 190.998538 \nL 202.219783 194.67862 \nL 202.558718 198.153806 \nL 203.0699 201.431348 \nL 203.753976 204.516638 \nL 204.621504 207.412783 \nL 205.692345 210.119912 \nL 206.995601 212.634182 \nL 208.570029 214.946276 \nL 210.464899 217.039276 \nL 211.551074 217.995522 \nL 212.741246 218.885593 \nL 214.045135 219.703646 \nL 215.473397 220.442534 \nL 217.037682 221.093541 \nL 218.750674 221.646095 \nL 220.62614 222.087429 \nL 222.678954 222.402169 \nL 224.925096 222.571876 \nL 227.381629 222.574499 \nL 230.066624 222.383785 \nL 232.999017 221.968596 \nL 236.198398 221.292178 \nL 239.684667 220.311411 \nL 243.47755 218.97605 \nL 247.595905 217.228041 \nL 252.05681 215.001048 \nL 256.874294 212.22029 \nL 262.057719 208.802942 \nL 267.609675 204.659419 \nL 273.523342 199.695877 \nL 279.779276 193.818461 \nL 286.341567 186.939817 \nL 293.153457 178.98844 \nL 300.132578 169.921209 \nL 307.166172 159.739215 \nL 314.106907 148.506304 \nL 320.770109 136.368645 \nL 326.933698 123.572294 \nL 332.342113 110.474091 \nL 336.715753 97.540042 \nL 339.766955 85.32518 \nL 341.222475 74.430958 \nL 340.851332 65.441109 \nL 338.494302 58.843841 \nL 334.090383 54.955897 \nL 327.693912 53.867804 \nL 319.477551 55.427287 \nL 309.718841 59.267827 \nL 298.772031 64.87522 \nL 287.030743 71.673377 \nL 274.889022 79.106626 \nL 250.792562 94.094387 \nL 239.379904 101.044733 \nL 228.637927 107.413036 \nL 218.671223 113.142017 \nL 209.531075 118.231206 \nL 193.737384 126.64824 \nL 181.018956 133.10115 \nL 166.67301 140.071871 \nL 156.480532 144.757611 \nL 151.253593 146.942037 \nL 146.875126 148.501835 \nL 143.083197 149.495958 \nL 141.34416 149.791926 \nL 139.683807 149.957641 \nL 138.086999 149.995245 \nL 136.541715 149.906639 \nL 135.038824 149.693742 \nL 133.571861 149.358703 \nL 132.136832 148.904149 \nL 130.732008 148.333382 \nL 128.016423 146.860885 \nL 125.450293 144.988018 \nL 123.084122 142.782978 \nL 120.987572 140.338175 \nL 119.242121 137.770114 \nL 117.932332 135.215442 \nL 117.135832 132.822649 \nL 116.949839 131.733685 \nL 116.912834 130.739981 \nL 117.028018 129.857646 \nL 117.296412 129.100966 \nL 117.716697 128.482011 \nL 118.285141 128.010323 \nL 118.995609 127.692692 \nL 119.839626 127.533049 \nL 120.806551 127.532435 \nL 121.883787 127.689118 \nL 123.057092 127.998783 \nL 125.628655 129.048506 \nL 128.387459 130.606845 \nL 131.196202 132.579107 \nL 133.92475 134.861964 \nL 136.458162 137.352516 \nL 138.701601 139.954266 \nL 140.582076 142.580085 \nL 142.047682 145.152727 \nL 143.065173 147.603773 \nL 143.616701 149.871815 \nL 143.696505 151.900325 \nL 143.560293 152.807965 \nL 143.308042 153.635809 \nL 142.941282 154.377384 \nL 142.461918 155.026276 \nL 141.872216 155.576079 \nL 141.174815 156.020441 \nL 140.372745 156.353049 \nL 139.469485 156.567694 \nL 138.468995 156.658322 \nL 137.375811 156.619123 \nL 136.195116 156.444632 \nL 134.932833 156.129874 \nL 133.595738 155.670528 \nL 132.191559 155.063112 \nL 130.729089 154.30523 \nL 127.670418 152.335399 \nL 124.51508 149.773495 \nL 121.38052 146.667229 \nL 118.406041 143.108439 \nL 117.02752 141.201679 \nL 115.749106 139.23902 \nL 114.591967 137.246016 \nL 113.577126 135.25088 \nL 112.724904 133.283948 \nL 112.054337 131.376975 \nL 111.582582 129.562283 \nL 111.324263 127.871789 \nL 111.290867 126.335948 \nL 111.490183 124.982693 \nL 111.925883 123.836416 \nL 112.597154 122.917091 \nL 113.498564 122.239594 \nL 114.620062 121.813237 \nL 115.947204 121.641619 \nL 117.461496 121.722737 \nL 119.140957 122.049366 \nL 120.960787 122.60966 \nL 122.894115 123.387935 \nL 124.912801 124.365537 \nL 126.988252 125.521733 \nL 129.09215 126.834613 \nL 133.277487 129.841373 \nL 137.271265 133.213457 \nL 140.912226 136.796469 \nL 144.08029 140.460419 \nL 146.695075 144.099764 \nL 147.779394 145.883052 \nL 148.710279 147.629726 \nL 149.486004 149.331555 \nL 150.105985 150.980932 \nL 150.57055 152.57071 \nL 150.88073 154.094047 \nL 151.038064 155.544309 \nL 151.04445 156.914921 \nL 150.902014 158.199263 \nL 150.612995 159.390598 \nL 150.179686 160.481983 \nL 149.604384 161.466195 \nL 148.889384 162.335677 \nL 148.036974 163.082497 \nL 147.049485 163.698331 \nL 145.929355 164.174437 \nL 144.679216 164.501698 \nL 143.302009 164.670637 \nL 141.801132 164.671507 \nL 140.1806 164.494405 \nL 138.445244 164.12943 \nL 136.600921 163.566919 \nL 134.654759 162.797711 \nL 132.615406 161.813516 \nL 130.493304 160.607357 \nL 128.300952 159.174068 \nL 126.053169 157.510917 \nL 123.767353 155.618254 \nL 121.463686 153.50026 \nL 119.165268 151.165693 \nL 116.898192 148.628642 \nL 114.691483 145.90921 \nL 112.576912 143.03405 \nL 110.588627 140.036715 \nL 108.762592 136.957681 \nL 107.135828 133.843995 \nL 105.745416 130.748467 \nL 104.627305 127.728385 \nL 103.814984 124.843707 \nL 103.338034 122.154834 \nL 103.220643 119.720053 \nL 103.480225 117.592847 \nL 104.126236 115.819256 \nL 105.159273 114.435604 \nL 106.57057 113.466744 \nL 108.342009 112.92506 \nL 110.446566 112.810245 \nL 112.849274 113.109999 \nL 115.508562 113.801433 \nL 118.377946 114.853057 \nL 121.407864 116.227106 \nL 124.547542 117.881958 \nL 127.746811 119.774484 \nL 130.957673 121.862005 \nL 134.135632 124.103932 \nL 137.240645 126.462909 \nL 140.23779 128.905528 \nL 143.097574 131.402638 \nL 145.795978 133.929343 \nL 148.31427 136.464774 \nL 150.638627 138.991692 \nL 152.759645 141.496026 \nL 154.67177 143.966356 \nL 156.372695 146.393444 \nL 157.862769 148.769786 \nL 159.144424 151.089172 \nL 160.22163 153.346383 \nL 161.099443 155.536864 \nL 161.783566 157.656496 \nL 162.280007 159.701372 \nL 162.594784 161.667638 \nL 162.733673 163.551354 \nL 162.702035 165.348339 \nL 162.50466 167.054083 \nL 162.145676 168.663639 \nL 161.62848 170.171522 \nL 160.955707 171.571601 \nL 160.129235 172.857009 \nL 159.150205 174.020054 \nL 158.019073 175.052104 \nL 156.735686 175.943505 \nL 155.299393 176.683468 \nL 153.709159 177.260001 \nL 151.963739 177.659842 \nL 150.061862 177.868381 \nL 148.002458 177.869669 \nL 145.784934 177.646443 \nL 143.409497 177.180248 \nL 140.877522 176.451586 \nL 138.191982 175.440252 \nL 135.357937 174.125777 \nL 132.383091 172.488051 \nL 129.278404 170.508173 \nL 126.058746 168.169537 \nL 122.743603 165.459197 \nL 119.357758 162.369511 \nL 115.931957 158.900027 \nL 112.503483 155.059606 \nL 109.116543 150.868659 \nL 105.82243 146.36129 \nL 102.679305 141.587225 \nL 99.751516 136.613099 \nL 97.108387 131.522886 \nL 94.822303 126.417006 \nL 92.966181 121.409907 \nL 91.610269 116.625863 \nL 90.81845 112.193063 \nL 90.644294 108.236309 \nL 91.127113 104.868898 \nL 92.288489 102.184597 \nL 94.129694 100.25068 \nL 96.63031 99.103158 \nL 99.748367 98.744793 \nL 103.422081 99.146212 \nL 107.572998 100.250066 \nL 112.110321 101.977397 \nL 116.935903 104.235273 \nL 121.949386 106.924674 \nL 127.052985 109.947537 \nL 132.15558 113.212414 \nL 137.175828 116.638281 \nL 142.044162 120.156661 \nL 146.703794 123.712142 \nL 151.1108 127.261797 \nL 155.233522 130.773823 \nL 159.051443 134.225832 \nL 162.553783 137.602982 \nL 165.737948 140.896269 \nL 168.607958 144.100975 \nL 171.17297 147.215403 \nL 173.445927 150.239886 \nL 175.442377 153.17601 \nL 177.179471 156.026061 \nL 178.675134 158.79264 \nL 179.947398 161.478417 \nL 181.013889 164.085967 \nL 181.891429 166.617662 \nL 182.59575 169.075625 \nL 183.141307 171.461724 \nL 183.541145 173.777545 \nL 183.806838 176.02441 \nL 183.974601 180.315265 \nL 183.707536 184.339559 \nL 183.046033 188.09812 \nL 182.009661 191.586649 \nL 181.351756 193.226622 \nL 180.59892 194.794502 \nL 179.748482 196.287647 \nL 178.796747 197.702732 \nL 177.739017 199.035633 \nL 176.569617 200.281306 \nL 175.281911 201.433626 \nL 173.868313 202.485211 \nL 172.320312 203.427218 \nL 170.628493 204.249118 \nL 168.782568 204.938411 \nL 166.771432 205.480338 \nL 164.583233 205.857548 \nL 162.205483 206.049715 \nL 159.625209 206.033165 \nL 156.829169 205.780464 \nL 153.804151 205.260016 \nL 150.537356 204.435712 \nL 147.016927 203.266633 \nL 143.232629 201.706941 \nL 139.176708 199.705975 \nL 134.844997 197.208716 \nL 130.238257 194.156779 \nL 125.363847 190.490095 \nL 120.237662 186.149551 \nL 114.886417 181.080763 \nL 109.350153 175.239304 \nL 103.684936 168.597464 \nL 97.965513 161.152564 \nL 92.287646 152.936589 \nL 86.769739 144.026442 \nL 81.553193 134.553544 \nL 76.80084 124.711049 \nL 72.692813 114.756135 \nL 69.419279 105.004865 \nL 67.169795 95.817351 \nL 66.119512 87.572258 \nL 66.413319 80.631959 \nL 68.149668 75.302675 \nL 71.366559 71.796295 \nL 76.032428 70.202202 \nL 82.044102 70.475944 \nL 89.232943 72.448274 \nL 97.378565 75.852666 \nL 106.228005 80.364785 \nL 115.51712 85.644824 \nL 124.990758 91.374197 \nL 143.608454 103.153815 \nL 168.428788 119.322549 \nL 182.039226 128.427375 \nL 193.232998 136.23267 \nL 202.263007 142.945043 \nL 209.498914 148.772694 \nL 215.337308 153.877593 \nL 222.281919 160.402844 \nL 227.984747 165.71044 \nL 231.511892 168.581259 \nL 233.267219 169.807298 \nL 235.044246 170.886393 \nL 236.860655 171.811364 \nL 238.732135 172.573706 \nL 240.6725 173.163621 \nL 242.693768 173.570029 \nL 244.806182 173.780606 \nL 247.018182 173.781852 \nL 249.336337 173.559198 \nL 251.765195 173.097173 \nL 254.307095 172.379666 \nL 256.961901 171.390286 \nL 259.72667 170.112852 \nL 262.595288 168.53203 \nL 265.558013 166.634165 \nL 268.601032 164.408315 \nL 271.705957 161.847452 \nL 274.849366 158.949895 \nL 278.002383 155.720891 \nL 281.130361 152.174323 \nL 284.192749 148.33438 \nL 287.143177 144.237113 \nL 289.929878 139.931665 \nL 292.496491 135.480894 \nL 294.783333 130.961211 \nL 296.729165 126.461365 \nL 298.273452 122.079976 \nL 299.359062 117.921839 \nL 299.935276 114.092949 \nL 299.960904 110.694766 \nL 299.407277 107.817935 \nL 298.260757 105.536434 \nL 296.524546 103.902545 \nL 294.2195 102.943664 \nL 291.38375 102.661018 \nL 288.071219 103.030812 \nL 284.349007 104.007382 \nL 280.29399 105.527973 \nL 275.988952 107.518436 \nL 271.518554 109.899059 \nL 266.96561 112.589961 \nL 262.407839 115.515425 \nL 257.915356 118.607047 \nL 253.548988 121.805578 \nL 249.359322 125.061679 \nL 245.386499 128.335724 \nL 241.660551 131.597019 \nL 238.202174 134.822646 \nL 235.023759 137.996154 \nL 232.130593 141.106241 \nL 229.522098 144.145573 \nL 227.193029 147.109756 \nL 225.134608 149.996481 \nL 223.335523 152.804852 \nL 221.782806 155.534868 \nL 220.462574 158.18705 \nL 219.360637 160.762165 \nL 218.462986 163.261032 \nL 217.756183 165.684384 \nL 217.227642 168.032803 \nL 216.86584 170.306636 \nL 216.660469 172.505945 \nL 216.602524 174.630481 \nL 216.684359 176.679664 \nL 216.899704 178.652506 \nL 217.243662 180.547607 \nL 217.71269 182.363084 \nL 218.304564 184.096512 \nL 219.018339 185.744849 \nL 219.85431 187.304365 \nL 220.813954 188.770534 \nL 221.899888 190.137896 \nL 223.115809 191.399948 \nL 224.466444 192.548988 \nL 225.957481 193.575926 \nL 227.595507 194.470094 \nL 229.387913 195.219038 \nL 231.342801 195.808271 \nL 233.468849 196.22102 \nL 235.775152 196.437985 \nL 238.27101 196.437051 \nL 240.965663 196.193067 \nL 243.867947 195.677634 \nL 246.985873 194.858976 \nL 250.326074 193.701931 \nL 253.893143 192.168116 \nL 257.688807 190.216353 \nL 261.710917 187.803448 \nL 265.952287 184.885448 \nL 270.399286 181.419486 \nL 275.030279 177.366373 \nL 279.813899 172.694048 \nL 284.707256 167.382009 \nL 289.654137 161.426613 \nL 294.583442 154.847247 \nL 299.408051 147.692848 \nL 304.024456 140.048246 \nL 308.313535 132.039257 \nL 312.142833 123.835341 \nL 315.370742 115.648287 \nL 317.852748 107.725584 \nL 319.449762 100.337658 \nL 320.038104 93.758948 \nL 319.520318 88.244314 \nL 317.835548 84.003874 \nL 314.967964 81.180143 \nL 310.951692 79.832141 \nL 305.871131 79.929933 \nL 299.856208 81.360852 \nL 293.073003 83.946389 \nL 285.711079 87.46604 \nL 277.96943 91.683316 \nL 270.042899 96.369185 \nL 262.110822 101.319737 \nL 254.328804 106.366683 \nL 239.693462 116.271609 \nL 226.801696 125.473178 \nL 221.101797 129.738958 \nL 215.906818 133.777658 \nL 211.203607 137.5983 \nL 206.968441 141.214591 \nL 203.170233 144.642224 \nL 199.773185 147.89708 \nL 196.738907 150.994101 \nL 194.028059 153.946694 \nL 189.421522 159.463153 \nL 185.658056 164.517467 \nL 185.658056 164.517467 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p95860c3296\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.342691pt\" version=\"1.1\" viewBox=\"0 0 293.26612 285.342691\" width=\"293.26612pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-21T13:46:13.820776</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.342691 \nL 293.26612 285.342691 \nL 293.26612 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 33.75871 209.808915 \nL 121.297151 135.815787 \nL 120.334285 29.420078 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 64.87229 219.97061 \nL 150.739713 144.373577 \nL 151.036907 37.202298 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.693595 230.363448 \nL 180.796008 153.109755 \nL 182.407443 45.153814 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 129.247051 240.995407 \nL 211.485429 162.029958 \nL 214.46793 53.280213 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 162.558219 251.874834 \nL 242.828193 171.140063 \nL 247.241381 61.587328 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 34.520932 209.164636 \nL 32.230999 211.100235 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(15.674768 233.100189)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 65.620644 219.311764 \nL 63.372337 221.291157 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(46.820187 243.477182)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 97.427251 229.689536 \nL 95.223067 231.714226 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(86.047841 254.091113)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 129.965129 240.305906 \nL 127.807708 242.377466 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(115.458928 264.950189)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 163.259793 251.169197 \nL 161.151922 253.289274 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(148.812833 276.063003)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 37.025736 83.938226 \nL 41.714633 195.609054 \nL 189.855179 243.094917 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 52.304131 72.78875 \nL 56.267308 183.410713 \nL 203.034979 229.5692 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 67.150676 61.954417 \nL 70.426213 171.542439 \nL 215.839658 216.42845 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.583426 51.422054 \nL 84.207115 159.991013 \nL 228.285006 203.656461 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 95.619442 41.179209 \nL 97.624953 148.743915 \nL 240.385939 191.237927 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.27486 31.214106 \nL 110.693888 137.789275 \nL 252.15656 179.158374 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 188.607315 242.694919 \nL 192.354107 243.895939 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(192.081774 264.001351)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 201.799577 229.180666 \nL 205.508907 230.347251 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(205.084699 250.275487)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 214.616518 216.050893 \nL 218.288985 217.184505 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(225.088416 236.940511)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 227.073931 203.289423 \nL 230.71013 204.39144 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(234.185086 223.97996)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 239.186735 190.880974 \nL 242.787252 191.952698 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(246.123034 211.378283)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 250.969034 178.811096 \nL 254.534449 179.85376 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(257.734937 199.120777)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.145512 154.078214 \nL 114.93894 113.753714 \nL 26.260353 186.247681 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.021553 134.947736 \nL 114.72608 95.242867 \nL 25.316301 166.643829 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.911246 115.519099 \nL 114.510063 76.457444 \nL 24.356968 146.722661 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.814915 95.785279 \nL 114.290817 57.39129 \nL 23.381981 126.476411 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.732891 75.739029 \nL 114.068271 38.038063 \nL 22.390952 105.897056 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.951531 153.739645 \nL 259.536339 154.756164 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.184088 159.112811)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 256.81799 134.614248 \nL 260.431587 135.615517 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.199311 140.020859)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 257.697947 115.190892 \nL 261.3408 116.176312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.230309 120.632264)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 258.591722 95.462561 \nL 262.264305 96.431508 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.277451 100.940057)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 259.499641 75.422015 \nL 263.202444 76.373842 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 50 -->\n     <g transform=\"translate(273.34112 80.937051)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_21\">\n    <path clip-path=\"url(#p423bba79b9)\" d=\"M 141.14834 191.239728 \nL 141.371056 190.433913 \nL 141.863913 189.826106 \nL 142.607878 189.309689 \nL 144.222174 188.545793 \nL 158.279047 182.77632 \nL 163.109261 180.481207 \nL 169.00912 177.416634 \nL 176.143566 173.313802 \nL 180.216589 170.769195 \nL 184.640013 167.83185 \nL 189.412905 164.450084 \nL 194.520957 160.571824 \nL 199.931314 156.148423 \nL 205.586237 151.140505 \nL 211.395651 145.5264 \nL 217.228931 139.313662 \nL 222.906731 132.553867 \nL 228.19427 125.360158 \nL 232.798521 117.925784 \nL 236.372718 110.539814 \nL 238.53253 103.593491 \nL 238.888273 97.56817 \nL 237.095599 92.994683 \nL 232.921778 90.377713 \nL 226.31582 90.089926 \nL 217.460732 92.259167 \nL 206.781669 96.690187 \nL 194.893036 102.865016 \nL 182.491901 110.039933 \nL 158.62581 124.281149 \nL 147.996372 130.172778 \nL 138.491606 134.850174 \nL 130.126737 138.280114 \nL 122.836965 140.561188 \nL 116.52104 141.856077 \nL 111.070414 142.342592 \nL 106.385263 142.185838 \nL 102.381313 141.526718 \nL 98.991183 140.480566 \nL 96.162871 139.140825 \nL 93.856962 137.584422 \nL 92.043415 135.877001 \nL 90.698342 134.077182 \nL 89.801008 132.239476 \nL 89.3312 130.415899 \nL 89.267036 128.656451 \nL 89.58335 127.008626 \nL 90.250659 125.51629 \nL 91.234801 124.218195 \nL 92.497173 123.146441 \nL 93.995528 122.325139 \nL 95.68517 121.769535 \nL 97.52044 121.4857 \nL 99.456243 121.470828 \nL 101.449528 121.714095 \nL 103.460541 122.197992 \nL 105.453776 122.899918 \nL 107.398594 123.793866 \nL 109.269508 124.85208 \nL 111.046162 126.046501 \nL 112.713081 127.349974 \nL 114.259246 128.737122 \nL 115.677557 130.184944 \nL 116.964252 131.67315 \nL 119.140892 134.703599 \nL 120.804011 137.720763 \nL 121.98791 140.654248 \nL 122.734444 143.462215 \nL 123.084827 146.12282 \nL 123.074499 148.627034 \nL 122.730266 150.973118 \nL 122.069011 153.162494 \nL 121.097434 155.196607 \nL 119.812448 157.074398 \nL 118.202043 158.789997 \nL 116.246587 160.330333 \nL 113.920713 161.672405 \nL 111.196104 162.779958 \nL 108.045725 163.599468 \nL 106.30429 163.878635 \nL 104.450232 164.055545 \nL 102.483902 164.116578 \nL 100.40756 164.046217 \nL 98.225908 163.826983 \nL 95.946729 163.439483 \nL 93.58159 162.862571 \nL 91.146613 162.073672 \nL 88.663285 161.049352 \nL 86.159252 159.766171 \nL 83.669023 158.201891 \nL 81.234502 156.337106 \nL 78.905179 154.157303 \nL 76.73787 151.655344 \nL 74.795766 148.834292 \nL 73.14669 145.71035 \nL 71.860387 142.31567 \nL 71.004831 138.700493 \nL 70.641691 134.934196 \nL 70.821229 131.104592 \nL 71.577168 127.315115 \nL 72.922207 123.679636 \nL 74.844939 120.315131 \nL 77.308861 117.332865 \nL 80.253812 114.82923 \nL 83.599889 112.877578 \nL 87.253349 111.522398 \nL 91.113632 110.776734 \nL 95.080519 110.623186 \nL 99.060467 111.018124 \nL 102.971401 111.898124 \nL 106.745676 113.187488 \nL 110.331205 114.805577 \nL 113.691117 116.673078 \nL 116.802341 118.716694 \nL 119.653591 120.872114 \nL 122.243117 123.085404 \nL 124.576517 125.31316 \nL 126.664761 127.521854 \nL 128.522507 129.686641 \nL 131.615622 133.820274 \nL 134.001773 137.63721 \nL 135.825231 141.118305 \nL 137.216524 144.275253 \nL 138.732526 148.460732 \nL 140.127857 153.172132 \nL 141.795894 158.78251 \nL 142.714607 161.053671 \nL 143.425201 162.389726 \nL 144.24643 163.585615 \nL 145.207638 164.638553 \nL 146.341374 165.54114 \nL 147.684743 166.28064 \nL 149.280673 166.837894 \nL 151.179063 167.185764 \nL 153.437714 167.287007 \nL 156.122776 167.091533 \nL 159.308299 166.532993 \nL 163.07409 165.524902 \nL 167.500603 163.956815 \nL 172.658864 161.691879 \nL 175.527804 160.248374 \nL 178.592442 158.56856 \nL 181.849041 156.630156 \nL 185.287557 154.411586 \nL 188.889755 151.893472 \nL 192.62705 149.060683 \nL 196.458073 145.905073 \nL 200.326123 142.428964 \nL 204.156689 138.649389 \nL 207.855412 134.602916 \nL 211.306975 130.350743 \nL 214.375598 125.983381 \nL 216.907966 121.623839 \nL 218.739446 117.42791 \nL 219.70431 113.579782 \nL 219.65017 110.281339 \nL 218.455878 107.734261 \nL 216.050891 106.115552 \nL 212.432569 105.549681 \nL 207.676997 106.082925 \nL 201.939076 107.667253 \nL 195.439796 110.160102 \nL 188.441881 113.342568 \nL 181.218924 116.952655 \nL 154.45782 130.977679 \nL 148.947302 133.664132 \nL 143.995336 135.938327 \nL 135.680744 139.389103 \nL 129.209256 141.728364 \nL 112.271261 147.46209 \nL 108.230205 148.942419 \nL 106.264316 149.501291 \nL 104.260511 149.887242 \nL 102.194261 150.05696 \nL 100.063815 149.966616 \nL 97.889719 149.574221 \nL 95.714893 148.842875 \nL 93.604525 147.745484 \nL 91.644739 146.27112 \nL 90.7531 145.395454 \nL 89.93886 144.43269 \nL 89.216437 143.389464 \nL 88.600201 142.274797 \nL 88.104009 141.100201 \nL 87.740724 139.879684 \nL 87.521669 138.629631 \nL 87.456103 137.368546 \nL 87.550722 136.116664 \nL 87.809211 134.895411 \nL 88.231912 133.726731 \nL 88.815619 132.632346 \nL 89.55353 131.632942 \nL 90.435369 130.747376 \nL 91.447674 129.991942 \nL 92.574243 129.379755 \nL 93.796703 128.920313 \nL 95.095158 128.619252 \nL 96.448882 128.478301 \nL 97.837001 128.495457 \nL 99.239116 128.665322 \nL 100.635869 128.979591 \nL 102.00937 129.427617 \nL 103.343528 129.997021 \nL 104.624258 130.6743 \nL 106.979555 132.29617 \nL 109.003887 134.182264 \nL 110.655396 136.231398 \nL 111.915657 138.358138 \nL 112.782816 140.494282 \nL 113.265215 142.587368 \nL 113.376202 144.597647 \nL 113.130347 146.494534 \nL 112.541058 148.253068 \nL 111.61943 149.850681 \nL 110.374228 151.264319 \nL 108.81287 152.467904 \nL 106.943415 153.430113 \nL 104.777583 154.112591 \nL 102.334878 154.468706 \nL 99.64788 154.443376 \nL 98.228073 154.268454 \nL 96.768592 153.974536 \nL 95.280113 153.553447 \nL 93.775399 152.997304 \nL 92.269451 152.298861 \nL 90.77964 151.451966 \nL 89.325737 150.45208 \nL 87.929854 149.296884 \nL 86.616235 147.986956 \nL 85.410888 146.526468 \nL 84.34104 144.923877 \nL 83.434368 143.192541 \nL 82.718035 141.351194 \nL 82.21757 139.424176 \nL 81.955589 137.441363 \nL 81.950479 135.437693 \nL 82.215138 133.452261 \nL 82.755866 131.526966 \nL 83.571549 129.704785 \nL 84.653264 128.027734 \nL 85.984322 126.534756 \nL 87.54084 125.259632 \nL 89.292778 124.229238 \nL 91.205353 123.462233 \nL 93.240718 122.968379 \nL 95.359733 122.748488 \nL 97.523668 122.795037 \nL 99.695727 123.093257 \nL 101.842256 123.622604 \nL 103.933616 124.358425 \nL 105.944702 125.273611 \nL 107.855119 126.340149 \nL 109.649095 127.530406 \nL 111.315188 128.818146 \nL 112.845839 130.179253 \nL 114.236853 131.592159 \nL 115.486839 133.038051 \nL 116.59667 134.50089 \nL 118.407588 137.426254 \nL 119.70341 140.288689 \nL 120.526642 143.03879 \nL 120.91993 145.648612 \nL 120.920603 148.104119 \nL 120.557591 150.399247 \nL 119.850046 152.531357 \nL 118.807119 154.497721 \nL 117.428547 156.292651 \nL 115.705879 157.90487 \nL 113.62433 159.314842 \nL 111.165453 160.491846 \nL 108.311016 161.39064 \nL 106.731153 161.716692 \nL 105.048595 161.947775 \nL 103.264018 162.072521 \nL 101.379643 162.078017 \nL 99.39967 161.949784 \nL 97.330781 161.671797 \nL 95.182704 161.22663 \nL 92.968817 160.595697 \nL 90.706782 159.759694 \nL 88.41918 158.699228 \nL 86.134075 157.395727 \nL 83.885469 155.832638 \nL 81.713512 153.996946 \nL 79.664402 151.881034 \nL 77.789821 149.484778 \nL 76.145778 146.817835 \nL 74.790781 143.901826 \nL 73.783259 140.77225 \nL 73.178302 137.479671 \nL 73.023846 134.089838 \nL 73.356654 130.682353 \nL 74.198466 127.347648 \nL 75.552907 124.182251 \nL 77.403643 121.282636 \nL 79.714214 118.73828 \nL 82.429735 116.624767 \nL 85.480351 114.997955 \nL 88.786044 113.890091 \nL 92.262135 113.30839 \nL 95.824759 113.23623 \nL 99.395663 113.636602 \nL 102.905846 114.457128 \nL 106.297833 115.635743 \nL 109.526625 117.106292 \nL 112.55952 118.803279 \nL 115.375123 120.665562 \nL 117.961862 122.638719 \nL 120.316281 124.676305 \nL 122.441329 126.740163 \nL 124.34477 128.800051 \nL 126.037797 130.832873 \nL 127.533861 132.821682 \nL 129.994759 136.623973 \nL 131.849362 140.156221 \nL 133.214159 143.408055 \nL 134.191984 146.391088 \nL 134.868803 149.1274 \nL 135.313471 151.642817 \nL 135.657576 155.057964 \nL 135.71956 158.113143 \nL 135.570505 160.874541 \nL 135.242441 163.395677 \nL 134.738038 165.719785 \nL 134.036148 167.88248 \nL 133.093708 169.913928 \nL 132.300127 171.208267 \nL 131.344661 172.462465 \nL 130.19508 173.681946 \nL 128.811997 174.870379 \nL 127.147651 176.028633 \nL 125.144596 177.153084 \nL 122.734401 178.232905 \nL 119.836677 179.245874 \nL 116.358984 180.151968 \nL 112.198635 180.883819 \nL 109.82882 181.15257 \nL 107.248253 181.33285 \nL 104.444793 181.40149 \nL 101.408145 181.330018 \nL 98.130993 181.083775 \nL 94.610497 180.621017 \nL 90.850222 179.892095 \nL 86.86258 178.838857 \nL 82.671817 177.394501 \nL 78.317561 175.484193 \nL 73.858807 173.026884 \nL 69.378103 169.938901 \nL 64.985436 166.139899 \nL 60.821022 161.561812 \nL 57.05581 156.161164 \nL 53.888223 149.934493 \nL 51.535499 142.935704 \nL 50.218352 135.292639 \nL 50.138747 127.218521 \nL 51.452441 119.01283 \nL 54.240578 111.046291 \nL 58.486759 103.727462 \nL 64.06678 97.453404 \nL 70.756277 92.553435 \nL 78.256625 89.239389 \nL 86.233858 87.576172 \nL 94.360859 87.480604 \nL 102.352825 88.747716 \nL 109.989112 91.095056 \nL 117.119942 94.211842 \nL 123.660896 97.801003 \nL 129.580318 101.607487 \nL 134.884563 105.431571 \nL 139.604496 109.130076 \nL 147.476543 115.81816 \nL 156.13444 123.674337 \nL 163.699705 130.493646 \nL 166.400461 132.706665 \nL 168.641368 134.320311 \nL 170.558188 135.448229 \nL 172.248224 136.179095 \nL 173.77722 136.582417 \nL 175.18512 136.71414 \nL 176.490848 136.621438 \nL 177.696386 136.346597 \nL 178.790387 135.92995 \nL 180.174133 135.127777 \nL 181.163943 134.23892 \nL 181.556653 133.669598 \nL 181.708227 133.167184 \nL 181.605317 132.768564 \nL 181.246971 132.503576 \nL 180.646393 132.392572 \nL 179.831102 132.444851 \nL 178.296437 132.822043 \nL 176.544239 133.511333 \nL 174.764933 134.430326 \nL 173.136374 135.483231 \nL 171.802449 136.577418 \nL 170.864004 137.631724 \nL 170.380081 138.577511 \nL 170.323071 139.118352 \nL 170.479495 139.568866 \nL 170.845028 139.914258 \nL 171.411339 140.14066 \nL 172.16622 140.235368 \nL 173.615125 140.10695 \nL 175.374694 139.631984 \nL 177.338977 138.805746 \nL 179.365768 137.655763 \nL 181.274701 136.253302 \nL 182.854896 134.720841 \nL 183.616831 133.709655 \nL 184.075337 132.774575 \nL 184.183278 131.975295 \nL 183.912291 131.366314 \nL 183.258122 130.990391 \nL 182.243461 130.873057 \nL 180.917311 131.019502 \nL 179.350678 131.414697 \nL 177.629276 132.026815 \nL 174.956788 133.256169 \nL 172.431788 134.716452 \nL 170.285788 136.261593 \nL 168.672945 137.776227 \nL 167.937006 138.725644 \nL 167.485967 139.602485 \nL 167.322166 140.38845 \nL 167.442411 141.066072 \nL 167.83976 141.61786 \nL 168.504602 142.025921 \nL 169.424982 142.271978 \nL 170.586219 142.337765 \nL 171.969849 142.205885 \nL 173.551981 141.861102 \nL 175.301163 141.292163 \nL 177.175956 140.494254 \nL 179.122511 139.472006 \nL 181.072614 138.242964 \nL 182.94289 136.841091 \nL 184.635984 135.319559 \nL 186.044652 133.751755 \nL 187.059416 132.229254 \nL 187.579881 130.85553 \nL 187.629275 130.257476 \nL 187.528682 129.735167 \nL 187.274364 129.299503 \nL 186.865644 128.959615 \nL 186.305124 128.722444 \nL 185.598741 128.592441 \nL 183.788222 128.658202 \nL 181.541721 129.138756 \nL 179.000747 129.978693 \nL 176.321781 131.098149 \nL 173.656823 132.408738 \nL 171.13785 133.82763 \nL 168.867728 135.286483 \nL 166.917766 136.734378 \nL 165.330413 138.136131 \nL 164.124891 139.468097 \nL 163.303834 140.71343 \nL 162.859521 141.858058 \nL 162.778978 142.887798 \nL 163.047688 143.786601 \nL 163.651898 144.535684 \nL 164.579682 145.113248 \nL 165.820899 145.494571 \nL 167.366155 145.652438 \nL 169.204816 145.557902 \nL 171.322095 145.181574 \nL 173.695137 144.495731 \nL 176.28818 143.477553 \nL 179.046915 142.113886 \nL 181.892549 140.407708 \nL 184.716514 138.386216 \nL 187.377529 136.109641 \nL 189.703317 133.678837 \nL 190.680266 132.449118 \nL 191.499838 131.238259 \nL 192.137494 130.070186 \nL 192.570273 128.970137 \nL 192.77789 127.963758 \nL 192.743882 127.076003 \nL 192.456727 126.329886 \nL 191.910825 125.745201 \nL 191.107249 125.337288 \nL 190.054158 125.116031 \nL 188.766814 125.085152 \nL 187.267157 125.241958 \nL 185.582938 125.577545 \nL 181.793292 126.722913 \nL 177.684107 128.361036 \nL 173.540712 130.30642 \nL 169.606166 132.390133 \nL 166.058039 134.485759 \nL 163.004336 136.515709 \nL 160.493055 138.442997 \nL 158.52803 140.256927 \nL 157.08535 141.959329 \nL 156.127175 143.554612 \nL 155.611922 145.044009 \nL 155.501013 146.4231 \nL 155.762839 147.681269 \nL 156.374701 148.802047 \nL 157.323341 149.763621 \nL 158.604505 150.539154 \nL 160.221776 151.096795 \nL 162.184754 151.399427 \nL 164.506468 151.404377 \nL 167.199743 151.063351 \nL 170.272122 150.323176 \nL 173.718808 149.128033 \nL 177.513101 147.424236 \nL 181.593978 145.16893 \nL 185.851182 142.3441 \nL 187.994071 140.724123 \nL 190.109458 138.976757 \nL 192.16319 137.116603 \nL 194.115974 135.164339 \nL 195.923696 133.147408 \nL 197.538165 131.100407 \nL 198.90836 129.065072 \nL 199.982232 127.089642 \nL 200.709107 125.227504 \nL 201.042593 123.534983 \nL 200.94386 122.068291 \nL 200.385055 120.879752 \nL 199.352425 120.013671 \nL 197.848782 119.502207 \nL 195.894837 119.361995 \nL 193.529082 119.591996 \nL 190.806073 120.1731 \nL 187.793202 121.06971 \nL 184.566312 122.233138 \nL 181.204698 123.606316 \nL 174.382745 126.743365 \nL 167.861837 130.04745 \nL 162.008844 133.217471 \nL 157.010938 136.109978 \nL 152.910808 138.703497 \nL 149.657202 141.043134 \nL 147.149866 143.194632 \nL 145.271442 145.21746 \nL 143.90691 147.154082 \nL 142.953779 149.029111 \nL 142.326313 150.852867 \nL 141.956254 152.625963 \nL 141.791708 154.343359 \nL 141.79521 155.997288 \nL 142.063454 158.34022 \nL 142.612939 160.492067 \nL 143.133431 161.806791 \nL 143.786007 163.015835 \nL 144.585339 164.109788 \nL 145.55236 165.077431 \nL 146.714488 165.904701 \nL 148.106076 166.573409 \nL 149.769041 167.059655 \nL 151.75353 167.331817 \nL 154.11845 167.348051 \nL 156.931524 167.053166 \nL 160.268329 166.37494 \nL 164.20941 165.220055 \nL 168.83398 163.470386 \nL 174.207942 160.981277 \nL 177.187999 159.407654 \nL 180.362967 157.585091 \nL 183.725884 155.491441 \nL 187.262471 153.106009 \nL 190.949093 150.411336 \nL 194.750419 147.395642 \nL 198.616891 144.055962 \nL 202.482176 140.402073 \nL 206.260863 136.461107 \nL 209.846838 132.282622 \nL 213.112946 127.9436 \nL 215.912726 123.552492 \nL 218.085044 119.251052 \nL 219.462493 115.212256 \nL 219.883998 111.632602 \nL 219.211418 108.717408 \nL 217.348714 106.658953 \nL 214.260779 105.609417 \nL 209.987852 105.6532 \nL 204.650865 106.785503 \nL 198.444505 108.904291 \nL 191.617508 111.820389 \nL 184.443715 115.284981 \nL 170.091148 122.797254 \nL 157.027255 129.659959 \nL 151.259076 132.535557 \nL 146.050578 134.992944 \nL 141.395437 137.049913 \nL 133.618634 140.143872 \nL 127.583103 142.244103 \nL 113.759469 146.810031 \nL 107.57401 149.042336 \nL 105.607073 149.545295 \nL 103.59567 149.863618 \nL 101.522126 149.954015 \nL 99.391286 149.773456 \nL 97.230187 149.281742 \nL 95.088065 148.445132 \nL 93.035902 147.241502 \nL 91.164397 145.667034 \nL 90.329043 144.746443 \nL 89.579267 143.743916 \nL 88.929255 142.667497 \nL 88.392858 141.527639 \nL 87.983123 140.337253 \nL 87.711784 139.111622 \nL 87.588734 137.86822 \nL 87.621531 136.626364 \nL 87.814931 135.406741 \nL 88.170531 134.230801 \nL 88.686501 133.12006 \nL 89.357496 132.095312 \nL 90.174693 131.175859 \nL 91.12603 130.378755 \nL 92.196567 129.718163 \nL 93.369011 129.204851 \nL 94.624313 128.845885 \nL 95.942339 128.644499 \nL 97.302539 128.60018 \nL 98.684587 128.708949 \nL 100.068955 128.96377 \nL 101.437392 129.355073 \nL 102.77329 129.871345 \nL 104.061925 130.499722 \nL 106.448677 132.037956 \nL 108.520437 133.859965 \nL 110.229904 135.863438 \nL 111.554185 137.960559 \nL 112.488122 140.080283 \nL 113.037892 142.167414 \nL 113.215651 144.179901 \nL 113.035539 146.085413 \nL 112.511046 147.857841 \nL 111.653661 149.474058 \nL 110.472642 150.910986 \nL 108.975824 152.143044 \nL 107.171396 153.1399 \nL 105.070718 153.86462 \nL 102.692203 154.272386 \nL 100.066337 154.310132 \nL 97.241755 153.91775 \nL 95.776768 153.540386 \nL 94.291995 153.031757 \nL 92.801594 152.384585 \nL 91.322009 151.592534 \nL 89.872025 150.650706 \nL 88.472738 149.556202 \nL 87.147393 148.308774 \nL 85.921084 146.911488 \nL 84.82025 145.371407 \nL 83.872001 143.70022 \nL 83.103242 141.914738 \nL 82.539612 140.037206 \nL 82.204289 138.095319 \nL 82.116704 136.121891 \nL 82.291293 134.154086 \nL 82.73636 132.232269 \nL 83.453186 130.3984 \nL 84.435506 128.694151 \nL 85.6694 127.158864 \nL 87.1337 125.827489 \nL 88.80084 124.728765 \nL 90.638121 123.88379 \nL 92.609274 123.305139 \nL 94.676167 122.99663 \nL 96.800497 122.953667 \nL 98.945345 123.164173 \nL 101.076476 123.609917 \nL 103.16329 124.268054 \nL 105.179464 125.112771 \nL 107.103243 126.116825 \nL 108.917435 127.252895 \nL 110.609204 128.494679 \nL 112.169683 129.817696 \nL 113.593488 131.199806 \nL 114.878192 132.621496 \nL 116.02378 134.065963 \nL 117.906565 136.968991 \nL 119.271496 139.823563 \nL 120.158829 142.57549 \nL 120.610391 145.193167 \nL 120.663676 147.659946 \nL 120.348418 149.967998 \nL 119.684944 152.113578 \nL 118.683783 154.093367 \nL 117.346134 155.901496 \nL 115.665015 157.526855 \nL 113.62706 158.950442 \nL 111.215128 160.142466 \nL 108.412066 161.059082 \nL 106.859792 161.395695 \nL 105.206151 161.638839 \nL 103.451803 161.777511 \nL 101.598885 161.79921 \nL 99.651433 161.68992 \nL 97.615867 161.43412 \nL 95.501528 161.01493 \nL 93.321261 160.414336 \nL 91.092033 159.613587 \nL 88.835538 158.593817 \nL 86.578757 157.336874 \nL 84.354399 155.826479 \nL 82.201135 154.049656 \nL 80.163523 151.998488 \nL 78.291514 149.672142 \nL 76.639391 147.079015 \nL 75.264073 144.238913 \nL 74.222711 141.184892 \nL 73.569604 137.964507 \nL 73.352583 134.640061 \nL 73.609122 131.287499 \nL 74.362598 127.993708 \nL 75.619172 124.852181 \nL 77.365824 121.957241 \nL 79.569938 119.397419 \nL 82.180668 117.24878 \nL 85.132024 115.569086 \nL 88.347319 114.393723 \nL 91.744416 113.73392 \nL 95.241043 113.577494 \nL 98.759575 113.89181 \nL 102.230772 114.628404 \nL 105.596228 115.728386 \nL 108.809521 117.127854 \nL 111.836259 118.762708 \nL 114.653254 120.572364 \nL 117.247181 122.502342 \nL 119.612968 124.505666 \nL 121.75213 126.543351 \nL 123.671201 128.584186 \nL 125.380349 130.604057 \nL 126.892192 132.585036 \nL 129.381116 136.383538 \nL 131.256161 139.923093 \nL 132.631706 143.18914 \nL 133.609452 146.190541 \nL 134.274738 148.94768 \nL 134.69597 151.485423 \nL 134.981412 154.935954 \nL 134.953898 158.028618 \nL 134.679678 160.830161 \nL 134.183285 163.395045 \nL 133.45654 165.767396 \nL 132.463259 167.983207 \nL 131.622875 169.388154 \nL 130.610536 170.743657 \nL 129.393815 172.055051 \nL 127.932901 173.325349 \nL 126.179538 174.554087 \nL 124.075891 175.735428 \nL 121.553542 176.855187 \nL 118.53295 177.886263 \nL 114.924056 178.781782 \nL 110.629203 179.46504 \nL 108.193594 179.691538 \nL 105.550388 179.815256 \nL 102.689709 179.811073 \nL 99.604161 179.648464 \nL 96.290097 179.290717 \nL 92.749238 178.6942 \nL 88.990735 177.807783 \nL 85.033686 176.572605 \nL 80.910152 174.922428 \nL 76.668579 172.784915 \nL 72.377476 170.0843 \nL 68.128972 166.745913 \nL 64.041671 162.703155 \nL 60.26193 157.907251 \nL 56.962331 152.339846 \nL 54.336036 146.027714 \nL 52.585758 139.057857 \nL 51.906693 131.589856 \nL 52.464138 123.86119 \nL 54.368365 116.180825 \nL 57.651443 108.907651 \nL 62.251993 102.41365 \nL 68.013387 97.036685 \nL 74.698045 93.032657 \nL 82.015895 90.538956 \nL 89.660681 89.559092 \nL 97.345365 89.972132 \nL 104.82902 91.562878 \nL 111.931166 94.063248 \nL 118.533724 97.193618 \nL 124.573942 100.695647 \nL 130.032645 104.35263 \nL 134.9216 107.997619 \nL 139.27236 111.512351 \nL 146.535106 117.879661 \nL 154.550294 125.452736 \nL 161.648779 132.214079 \nL 164.254315 134.476556 \nL 166.48412 136.15921 \nL 168.471635 137.355657 \nL 170.313269 138.137556 \nL 172.074211 138.559614 \nL 173.793105 138.664721 \nL 175.485681 138.488713 \nL 177.147535 138.064701 \nL 178.756451 137.426955 \nL 180.274687 136.614209 \nL 181.651747 135.672186 \nL 182.828128 134.654953 \nL 183.740386 133.62458 \nL 184.327657 132.648783 \nL 184.539247 131.796381 \nL 184.342432 131.130959 \nL 184.087252 130.885048 \nL 183.271613 130.590524 \nL 182.081463 130.574692 \nL 180.579557 130.835807 \nL 178.850029 131.350494 \nL 176.041148 132.507715 \nL 173.264863 133.97569 \nL 170.799373 135.588223 \nL 168.841364 137.210045 \nL 167.876782 138.246157 \nL 167.205519 139.219267 \nL 166.833665 140.110159 \nL 166.760237 140.901143 \nL 166.979618 141.574809 \nL 167.483246 142.113264 \nL 168.260501 142.497845 \nL 169.298793 142.709267 \nL 170.582895 142.728151 \nL 172.093566 142.536017 \nL 173.805564 142.116776 \nL 175.685131 141.458829 \nL 177.687204 140.557873 \nL 179.75267 139.420367 \nL 181.806215 138.067493 \nL 183.755612 136.539109 \nL 185.493393 134.896755 \nL 186.901999 133.224425 \nL 187.863128 131.62554 \nL 188.141962 130.889398 \nL 188.271195 130.21488 \nL 188.242272 129.615923 \nL 188.049453 129.105287 \nL 187.69024 128.694016 \nL 187.165665 128.390914 \nL 186.480468 128.202132 \nL 185.643077 128.130862 \nL 183.562672 128.33824 \nL 181.054781 128.978812 \nL 178.28142 129.980183 \nL 175.413978 131.248393 \nL 172.612054 132.686267 \nL 170.008183 134.20792 \nL 167.700412 135.746456 \nL 165.75212 137.25495 \nL 164.196799 138.702905 \nL 163.045237 140.070799 \nL 162.293035 141.344771 \nL 161.927224 142.512468 \nL 161.93137 143.560375 \nL 162.289099 144.472281 \nL 162.986144 145.228648 \nL 164.011105 145.806472 \nL 165.355125 146.179447 \nL 167.01057 146.318407 \nL 168.968749 146.192084 \nL 171.216655 145.768423 \nL 173.73262 145.016784 \nL 176.480894 143.911439 \nL 179.405291 142.436815 \nL 182.422374 140.594799 \nL 185.415295 138.413979 \nL 188.230162 135.959896 \nL 190.677771 133.343998 \nL 191.697408 132.023845 \nL 192.544027 130.727321 \nL 193.190575 129.481197 \nL 193.611851 128.313681 \nL 193.785789 127.253331 \nL 193.694785 126.327752 \nL 193.326985 125.562115 \nL 192.677397 124.977654 \nL 191.74871 124.590249 \nL 190.5517 124.409292 \nL 189.105133 124.436979 \nL 187.435164 124.668097 \nL 185.574213 125.090447 \nL 183.559433 125.685803 \nL 179.229751 127.301265 \nL 174.768375 129.307353 \nL 170.461699 131.503551 \nL 166.526422 133.733447 \nL 163.099275 135.898301 \nL 160.245094 137.95057 \nL 157.974348 139.877503 \nL 156.262481 141.684032 \nL 155.066581 143.37983 \nL 154.337822 144.971715 \nL 154.02974 146.460256 \nL 154.103159 147.83905 \nL 154.528683 149.095235 \nL 155.287562 150.210272 \nL 156.3715 151.160542 \nL 157.78178 151.917502 \nL 159.527851 152.447438 \nL 161.625371 152.710917 \nL 164.093514 152.662151 \nL 166.951173 152.24867 \nL 170.211543 151.411821 \nL 173.874421 150.088958 \nL 177.915519 148.218587 \nL 182.27229 145.750023 \nL 184.534808 144.282341 \nL 186.826522 142.659484 \nL 189.120849 140.886578 \nL 191.385493 138.973805 \nL 193.582144 136.937458 \nL 195.66646 134.800948 \nL 197.588436 132.595648 \nL 199.293267 130.361402 \nL 200.722844 128.146495 \nL 201.817951 126.006872 \nL 202.521186 124.004426 \nL 202.780519 122.204213 \nL 202.553315 120.670584 \nL 201.810424 119.462476 \nL 200.539907 118.628261 \nL 198.74979 118.200775 \nL 196.469335 118.193402 \nL 193.748411 118.597923 \nL 190.654845 119.384697 \nL 187.269973 120.505382 \nL 183.682941 121.897809 \nL 176.261322 125.218194 \nL 169.039073 128.811664 \nL 159.54077 133.9006 \nL 154.395446 136.86017 \nL 150.223606 139.472569 \nL 146.937689 141.811928 \nL 144.409011 143.962333 \nL 142.499594 145.992558 \nL 141.079936 147.948661 \nL 140.037271 149.855986 \nL 139.278093 151.724676 \nL 138.511646 154.455217 \nL 138.032311 157.083798 \nL 137.556078 161.186436 \nL 136.744689 168.838616 \nL 136.29357 171.187665 \nL 135.651969 173.351937 \nL 134.989298 174.877317 \nL 134.110579 176.339082 \nL 132.941188 177.7565 \nL 131.380523 179.148454 \nL 130.057498 180.07016 \nL 128.450117 180.989931 \nL 126.496361 181.906516 \nL 124.121456 182.812349 \nL 121.236177 183.689291 \nL 117.73578 184.501935 \nL 113.500615 185.187275 \nL 108.400283 185.639152 \nL 105.484505 185.72717 \nL 102.304778 185.685626 \nL 98.848812 185.477652 \nL 95.108443 185.057965 \nL 91.081772 184.371588 \nL 86.775957 183.352719 \nL 82.210757 181.923975 \nL 77.422904 179.996385 \nL 72.471248 177.470703 \nL 67.442479 174.24075 \nL 62.456899 170.19973 \nL 57.673308 165.250528 \nL 53.291465 159.320829 \nL 49.550058 152.383228 \nL 46.71762 144.479273 \nL 45.074101 135.744106 \nL 44.882048 126.425727 \nL 46.349065 116.89057 \nL 49.587351 107.606639 \nL 54.579945 99.098967 \nL 61.165131 91.880195 \nL 69.04747 86.369662 \nL 77.836275 82.822389 \nL 87.102543 81.289673 \nL 96.438701 81.623283 \nL 105.505477 83.519911 \nL 114.056618 86.589145 \nL 121.941203 90.423541 \nL 129.089938 94.653608 \nL 135.494062 98.979953 \nL 141.184066 103.183672 \nL 150.640234 110.710998 \nL 163.559659 121.296986 \nL 169.598681 125.910635 \nL 173.550557 128.64781 \nL 177.313959 131.185744 \nL 177.699065 131.643327 \nL 177.76504 132.043539 \nL 177.570137 132.434092 \nL 176.909972 133.063747 \nL 173.314516 136.000719 \nL 172.460191 137.08451 \nL 172.177346 137.790633 \nL 172.237057 138.355654 \nL 172.470304 138.634255 \nL 172.853932 138.822211 \nL 173.691739 138.915149 \nL 174.80198 138.762418 \nL 176.116851 138.355275 \nL 177.545278 137.703859 \nL 178.972782 136.843094 \nL 180.265088 135.837191 \nL 181.277954 134.780032 \nL 181.874697 133.788443 \nL 181.98728 133.225531 \nL 181.848809 132.781412 \nL 181.455154 132.483956 \nL 180.81774 132.351937 \nL 179.963509 132.393188 \nL 178.367444 132.769195 \nL 176.553672 133.470868 \nL 174.717343 134.410483 \nL 173.040406 135.487824 \nL 171.669319 136.607137 \nL 170.705901 137.685388 \nL 170.209006 138.652876 \nL 170.149651 139.206572 \nL 170.308482 139.668411 \nL 170.680948 140.023346 \nL 171.258551 140.257208 \nL 172.028966 140.356916 \nL 172.975777 140.31099 \nL 174.679039 139.950071 \nL 176.634534 139.227334 \nL 178.711035 138.157034 \nL 180.737392 136.794543 \nL 182.505891 135.24659 \nL 183.429315 134.188666 \nL 184.071324 133.176751 \nL 184.375349 132.273053 \nL 184.300777 131.53791 \nL 184.114817 131.250209 \nL 183.829434 131.022949 \nL 182.970139 130.7645 \nL 181.760042 130.778839 \nL 180.262031 131.060503 \nL 178.558507 131.584239 \nL 175.822286 132.733706 \nL 173.144928 134.173171 \nL 170.788621 135.743857 \nL 168.937422 137.316705 \nL 168.038669 138.318075 \nL 167.427373 139.255361 \nL 167.109018 140.10948 \nL 167.082414 140.86273 \nL 167.34191 141.497676 \nL 167.878893 141.996477 \nL 168.68253 142.340705 \nL 169.739729 142.511537 \nL 171.034405 142.490376 \nL 172.546057 142.259892 \nL 174.247797 141.805607 \nL 176.103907 141.118042 \nL 178.067216 140.195541 \nL 180.076638 139.047681 \nL 182.055456 137.699014 \nL 183.911164 136.192624 \nL 185.537807 134.592526 \nL 186.821759 132.983602 \nL 187.65146 131.467722 \nL 187.864909 130.779109 \nL 187.930791 130.155031 \nL 187.842017 129.608354 \nL 187.594339 129.150633 \nL 187.186701 128.791601 \nL 186.621463 128.538727 \nL 185.904498 128.396858 \nL 185.045129 128.368007 \nL 182.952145 128.642999 \nL 180.473489 129.324604 \nL 177.766714 130.340091 \nL 174.994906 131.5991 \nL 172.307566 133.010344 \nL 169.827325 134.494225 \nL 167.64399 135.989081 \nL 165.81505 137.451474 \nL 164.370488 138.852651 \nL 163.319573 140.17348 \nL 162.657836 141.399641 \nL 162.373101 142.517937 \nL 162.450136 143.513908 \nL 162.87378 144.370512 \nL 163.630706 145.067558 \nL 164.709954 145.581643 \nL 166.10243 145.886365 \nL 167.799405 145.952876 \nL 169.790087 145.750783 \nL 172.058202 145.249704 \nL 174.577541 144.421783 \nL 177.306548 143.245545 \nL 180.182142 141.711471 \nL 183.113461 139.829493 \nL 185.976756 137.638028 \nL 188.61348 135.213324 \nL 190.83436 132.676513 \nL 191.724301 131.416551 \nL 192.432467 130.194217 \nL 192.934184 129.035743 \nL 193.207255 127.968094 \nL 193.233189 127.017838 \nL 192.998402 126.209855 \nL 192.49534 125.565936 \nL 191.723343 125.103437 \nL 190.689203 124.834128 \nL 189.407285 124.763322 \nL 187.899174 124.889505 \nL 186.192857 125.204428 \nL 184.321478 125.693763 \nL 180.232375 127.114912 \nL 175.93797 128.965758 \nL 171.722867 131.052601 \nL 167.813326 133.214526 \nL 164.361765 135.34204 \nL 161.449951 137.375762 \nL 159.103314 139.29328 \nL 157.308836 141.093179 \nL 156.031566 142.781817 \nL 155.227528 144.364782 \nL 154.852709 145.842622 \nL 154.868646 147.209426 \nL 155.245486 148.45292 \nL 155.96324 149.555072 \nL 157.011864 150.492647 \nL 158.390512 151.237438 \nL 160.106185 151.756121 \nL 162.171754 152.009853 \nL 164.603211 151.953847 \nL 167.415812 151.537243 \nL 170.618631 150.703878 \nL 174.206937 149.394732 \nL 178.151775 147.553297 \nL 182.386423 145.135248 \nL 186.790112 142.124121 \nL 188.99859 140.404046 \nL 191.171002 138.553855 \nL 193.270087 136.590301 \nL 195.253084 134.536849 \nL 197.072175 132.424403 \nL 198.675397 130.29164 \nL 200.00813 128.184857 \nL 201.015219 126.157107 \nL 201.643735 124.266495 \nL 201.84629 122.573474 \nL 201.584689 121.137277 \nL 200.833612 120.011593 \nL 199.583866 119.239938 \nL 197.844753 118.851329 \nL 195.64503 118.856894 \nL 193.032197 119.248112 \nL 190.069996 119.997174 \nL 186.834328 121.059484 \nL 183.408113 122.378081 \nL 176.317887 125.528294 \nL 169.405215 128.957673 \nL 163.111123 132.297782 \nL 157.679355 135.354265 \nL 153.18561 138.080232 \nL 149.591725 140.516052 \nL 146.797385 142.734163 \nL 144.678003 144.804461 \nL 143.10821 146.779241 \nL 141.974387 148.690676 \nL 141.18005 150.554227 \nL 140.647024 152.373799 \nL 140.314343 154.146428 \nL 140.094181 156.703374 \nL 140.120904 159.116573 \nL 140.338556 161.365047 \nL 140.726067 163.432599 \nL 141.288864 165.306262 \nL 142.054522 166.973193 \nL 142.700837 167.961727 \nL 143.47853 168.844412 \nL 144.412661 169.612083 \nL 145.534069 170.252253 \nL 146.880285 170.747917 \nL 148.496571 171.076012 \nL 150.437036 171.205376 \nL 152.765655 171.094095 \nL 155.556927 170.686065 \nL 158.895636 169.906709 \nL 162.874832 168.657939 \nL 167.590488 166.812894 \nL 173.130349 164.211932 \nL 176.229701 162.569079 \nL 179.553194 160.663167 \nL 183.097829 158.467015 \nL 186.853247 155.953952 \nL 190.799385 153.099618 \nL 194.903712 149.884524 \nL 199.118109 146.297532 \nL 203.375534 142.340359 \nL 207.586731 138.033147 \nL 211.637477 133.420925 \nL 215.387061 128.580464 \nL 218.668935 123.626574 \nL 221.294742 118.716326 \nL 223.063 114.048983 \nL 223.773422 109.859071 \nL 223.247089 106.400167 \nL 221.351184 103.918303 \nL 218.024874 102.616549 \nL 213.300693 102.616461 \nL 207.314696 103.925873 \nL 200.299754 106.424229 \nL 192.560571 109.873478 \nL 184.434797 113.954875 \nL 153.798082 130.309796 \nL 147.479657 133.384229 \nL 141.81818 135.920446 \nL 136.793142 137.955286 \nL 132.361422 139.552043 \nL 128.468324 140.784045 \nL 122.063964 142.435707 \nL 117.133838 143.386486 \nL 111.6972 144.152157 \nL 105.730281 144.726297 \nL 103.130452 144.822096 \nL 100.912153 144.696512 \nL 98.955068 144.295154 \nL 97.781391 143.855045 \nL 96.723629 143.272828 \nL 95.802365 142.554515 \nL 95.043963 141.7158 \nL 94.476683 140.782547 \nL 94.126666 139.79042 \nL 94.013966 138.783428 \nL 94.149045 137.811321 \nL 94.530094 136.925873 \nL 95.141702 136.176484 \nL 95.955045 135.605694 \nL 96.929691 135.245306 \nL 98.016687 135.11378 \nL 99.162427 135.215316 \nL 100.312668 135.540544 \nL 101.416111 136.068637 \nL 102.427145 136.770205 \nL 103.30756 137.610454 \nL 104.027274 138.552067 \nL 104.564239 139.557518 \nL 104.903797 140.590641 \nL 105.037778 141.617519 \nL 104.963545 142.606785 \nL 104.683192 143.529516 \nL 104.203 144.35888 \nL 103.533221 145.069702 \nL 102.688222 145.638108 \nL 101.686935 146.041371 \nL 100.553571 146.258062 \nL 99.318466 146.268689 \nL 98.018902 146.056831 \nL 96.699639 145.610907 \nL 95.412905 144.926545 \nL 94.217457 144.009376 \nL 93.176423 142.877972 \nL 92.3537 141.566359 \nL 91.808946 140.125385 \nL 91.59151 138.622102 \nL 91.734142 137.136533 \nL 92.247583 135.755687 \nL 93.117311 134.565292 \nL 94.303376 133.640594 \nL 95.743701 133.038039 \nL 97.360297 132.789602 \nL 99.067205 132.900877 \nL 100.778628 133.353066 \nL 102.415788 134.107967 \nL 103.911691 135.114535 \nL 105.213467 136.315463 \nL 106.282604 137.652709 \nL 107.093657 139.07138 \nL 107.632078 140.521863 \nL 107.89178 141.960546 \nL 107.872888 143.349454 \nL 107.57991 144.655216 \nL 107.020559 145.847728 \nL 106.205221 146.89875 \nL 105.14712 147.780596 \nL 103.863142 148.465111 \nL 102.375262 148.923085 \nL 100.712476 149.124243 \nL 98.913107 149.038107 \nL 97.027159 148.635906 \nL 95.118339 147.89386 \nL 93.265085 146.797916 \nL 91.55979 145.349858 \nL 90.105356 143.574169 \nL 89.505633 142.578934 \nL 89.008349 141.524423 \nL 88.625687 140.422531 \nL 88.368598 139.28723 \nL 88.246357 138.134386 \nL 88.266132 136.981483 \nL 88.432586 135.847206 \nL 88.747572 134.750932 \nL 89.209895 133.712132 \nL 89.815222 132.749703 \nL 90.556102 131.8813 \nL 91.422154 131.12268 \nL 92.400361 130.487142 \nL 93.475505 129.985059 \nL 94.630675 129.623583 \nL 95.847834 129.406503 \nL 97.108404 129.334277 \nL 98.393835 129.404216 \nL 99.686127 129.610825 \nL 100.968258 129.946212 \nL 102.224549 130.400584 \nL 104.60501 131.620657 \nL 106.736091 133.1736 \nL 108.5547 134.96099 \nL 110.023101 136.89276 \nL 111.123773 138.8921 \nL 111.85362 140.896659 \nL 112.218597 142.857312 \nL 112.229347 144.735625 \nL 111.89804 146.500812 \nL 111.236414 148.12665 \nL 110.254977 149.588627 \nL 108.963233 150.861383 \nL 107.370894 151.916484 \nL 105.490035 152.720566 \nL 103.338257 153.234025 \nL 100.942822 153.410465 \nL 98.345743 153.197415 \nL 96.990152 152.927374 \nL 95.609503 152.538996 \nL 94.215744 152.025656 \nL 92.822765 151.38141 \nL 91.446472 150.601357 \nL 90.1048 149.682115 \nL 88.817633 148.622306 \nL 87.606612 147.423134 \nL 86.494798 146.08894 \nL 85.506194 144.627777 \nL 84.665088 143.051878 \nL 83.995254 141.378027 \nL 83.519003 139.62773 \nL 83.256133 137.827136 \nL 83.222848 136.006619 \nL 83.430714 134.200055 \nL 83.885745 132.443725 \nL 84.587719 130.77491 \nL 85.529798 129.230272 \nL 86.698524 127.844101 \nL 88.074221 126.646643 \nL 89.631764 125.662589 \nL 91.341694 124.909945 \nL 93.171539 124.399364 \nL 95.087259 124.133954 \nL 97.05468 124.109616 \nL 99.040798 124.31583 \nL 101.014877 124.736735 \nL 102.949288 125.352452 \nL 104.820052 126.140421 \nL 106.607118 127.076703 \nL 108.294405 128.137138 \nL 109.869641 129.298284 \nL 111.324053 130.53812 \nL 112.651986 131.836541 \nL 113.850452 133.175629 \nL 115.857632 135.915547 \nL 117.35807 138.659249 \nL 118.380161 141.339209 \nL 118.958472 143.912084 \nL 119.12689 146.351636 \nL 118.914278 148.642522 \nL 118.342072 150.775272 \nL 117.423336 152.742244 \nL 116.162879 154.534352 \nL 114.558218 156.138164 \nL 112.601307 157.533171 \nL 110.281176 158.688957 \nL 107.587712 159.562242 \nL 106.099337 159.875159 \nL 104.517038 160.093865 \nL 102.842534 160.208046 \nL 101.079012 160.206117 \nL 99.231514 160.075247 \nL 97.307362 159.801425 \nL 95.316636 159.369615 \nL 93.272661 158.764049 \nL 91.192525 157.968636 \nL 89.097546 156.967571 \nL 87.013693 155.746144 \nL 84.97187 154.291788 \nL 83.007988 152.595368 \nL 81.16278 150.652701 \nL 79.481192 148.466234 \nL 78.011345 146.046816 \nL 76.802946 143.415342 \nL 75.905144 140.604122 \nL 75.363886 137.657642 \nL 75.218895 134.632486 \nL 75.500526 131.596129 \nL 76.226793 128.62448 \nL 77.400982 125.798154 \nL 79.010214 123.197727 \nL 81.025265 120.898385 \nL 83.401757 118.964601 \nL 86.082713 117.445581 \nL 89.00214 116.372027 \nL 92.089243 115.754734 \nL 95.272725 115.585095 \nL 98.484701 115.837364 \nL 101.663833 116.472196 \nL 104.757487 117.440913 \nL 107.722873 118.689841 \nL 110.527287 120.164245 \nL 113.147619 121.81151 \nL 115.56939 123.583443 \nL 117.785508 125.437653 \nL 119.794933 127.338198 \nL 121.601365 129.255592 \nL 123.212053 131.166418 \nL 124.636743 133.05269 \nL 126.974521 136.702184 \nL 128.713312 140.139869 \nL 129.951143 143.342285 \nL 130.776231 146.310135 \nL 131.262597 149.057091 \nL 131.468688 151.602813 \nL 131.437755 153.968797 \nL 131.199059 156.176038 \nL 130.769351 158.243807 \nL 130.154287 160.189007 \nL 129.349577 162.025863 \nL 128.341791 163.765635 \nL 127.108818 165.416259 \nL 125.620016 166.981694 \nL 123.836153 168.460797 \nL 121.709291 169.845514 \nL 119.182881 171.118056 \nL 116.192504 172.246714 \nL 112.66793 173.179788 \nL 108.53768 173.837157 \nL 106.224786 174.026953 \nL 103.737821 174.099123 \nL 101.072539 174.030285 \nL 98.227658 173.792823 \nL 95.205996 173.354492 \nL 92.015839 172.678164 \nL 88.672604 171.721806 \nL 85.200741 170.438835 \nL 81.635877 168.779063 \nL 78.027057 166.69043 \nL 74.438902 164.12182 \nL 70.953339 161.027211 \nL 67.670484 157.37133 \nL 64.708041 153.136895 \nL 62.198526 148.333051 \nL 60.283682 143.004324 \nL 59.105591 137.238658 \nL 58.794583 131.172568 \nL 59.454784 124.991094 \nL 61.149174 118.920371 \nL 63.886866 113.211706 \nL 67.615708 108.118036 \nL 72.222721 103.865866 \nL 77.543327 100.627982 \nL 83.37817 98.502897 \nL 89.514252 97.50573 \nL 95.746088 97.572257 \nL 101.892962 98.574563 \nL 107.809802 100.343643 \nL 113.391244 102.693642 \nL 118.570022 105.442848 \nL 123.311682 108.428791 \nL 127.607649 111.516599 \nL 131.468223 114.601618 \nL 134.916434 117.60782 \nL 137.983138 120.483865 \nL 143.113759 125.734224 \nL 147.149848 130.254651 \nL 156.282597 140.977355 \nL 158.25417 142.870553 \nL 160.190611 144.340813 \nL 162.182664 145.416349 \nL 164.300096 146.111309 \nL 166.594458 146.427726 \nL 169.100195 146.357851 \nL 171.833905 145.887183 \nL 174.791622 144.998547 \nL 177.944164 143.677867 \nL 181.230896 141.922135 \nL 184.552772 139.749907 \nL 187.766465 137.213977 \nL 190.682507 134.414443 \nL 191.958363 132.962594 \nL 193.071469 131.508428 \nL 193.989967 130.080567 \nL 194.682674 128.710375 \nL 195.120505 127.430975 \nL 195.278058 126.275899 \nL 195.135259 125.277443 \nL 194.678976 124.464817 \nL 193.904369 123.862243 \nL 192.815879 123.487186 \nL 191.427667 123.348985 \nL 189.763411 123.448028 \nL 187.855406 123.775666 \nL 185.743057 124.314897 \nL 183.470854 125.041747 \nL 178.636352 126.939674 \nL 173.722004 129.217935 \nL 169.043294 131.646402 \nL 164.825735 134.057949 \nL 161.199131 136.358184 \nL 158.212439 138.511804 \nL 155.857235 140.519823 \nL 154.090916 142.398812 \nL 152.855268 144.16679 \nL 152.089454 145.835921 \nL 151.738102 147.410042 \nL 151.755754 148.884911 \nL 152.108838 150.249432 \nL 152.77611 151.486952 \nL 153.748209 152.576121 \nL 155.026719 153.491114 \nL 156.622936 154.201344 \nL 158.556344 154.670633 \nL 160.852668 154.856121 \nL 163.541161 154.707107 \nL 166.650657 154.164205 \nL 170.203659 153.159479 \nL 174.20758 151.618541 \nL 178.64212 149.466208 \nL 181.002794 148.139711 \nL 183.441968 146.63794 \nL 185.940835 144.95773 \nL 188.474849 143.099628 \nL 191.012964 141.069107 \nL 193.516989 138.877901 \nL 195.941158 136.545445 \nL 198.23206 134.100229 \nL 200.329075 131.58097 \nL 202.165519 129.037299 \nL 203.670629 126.529704 \nL 204.77253 124.128416 \nL 205.40222 121.910925 \nL 205.498404 119.957982 \nL 205.01293 118.348068 \nL 203.916209 117.150751 \nL 202.201914 116.419582 \nL 199.89011 116.185611 \nL 197.028068 116.452765 \nL 193.688278 117.196114 \nL 189.963675 118.363778 \nL 185.960628 119.882314 \nL 181.790721 121.664784 \nL 173.374812 125.661432 \nL 165.437405 129.718861 \nL 155.350146 135.112314 \nL 150.039508 138.101887 \nL 145.800211 140.682554 \nL 142.486458 142.973523 \nL 139.927288 145.083285 \nL 137.955733 147.090378 \nL 136.422661 149.042461 \nL 135.201473 150.963045 \nL 133.731689 153.798644 \nL 130.728835 160.129688 \nL 129.201145 162.67168 \nL 127.995505 164.297334 \nL 126.590923 165.86266 \nL 124.941764 167.36153 \nL 122.997539 168.784216 \nL 120.701773 170.114749 \nL 117.991525 171.327222 \nL 114.798031 172.38063 \nL 111.049227 173.211755 \nL 108.944476 173.515839 \nL 106.675477 173.725626 \nL 104.23569 173.822289 \nL 101.620514 173.783385 \nL 98.828126 173.582404 \nL 95.860537 173.188378 \nL 92.724902 172.565597 \nL 89.435085 171.673548 \nL 86.013487 170.467193 \nL 82.49309 168.897773 \nL 78.91965 166.914366 \nL 75.353814 164.466419 \nL 71.872931 161.507554 \nL 68.572074 158.000804 \nL 65.563771 153.925387 \nL 62.975759 149.284756 \nL 60.946092 144.115288 \nL 59.615122 138.494409 \nL 59.114288 132.546328 \nL 59.552404 126.443185 \nL 61.001003 120.399413 \nL 63.481243 114.657977 \nL 66.955361 109.468855 \nL 71.325299 105.062314 \nL 76.439799 101.621734 \nL 82.109323 99.261681 \nL 88.126002 98.016199 \nL 94.28461 97.839873 \nL 100.400532 98.620651 \nL 106.321983 100.200702 \nL 111.93555 102.400002 \nL 117.165867 105.0379 \nL 121.971211 107.949339 \nL 126.337017 110.994624 \nL 130.268987 114.063297 \nL 133.786824 117.073496 \nL 136.919125 119.968613 \nL 142.163762 125.285549 \nL 146.287639 129.891217 \nL 152.23575 137.061542 \nL 155.54111 140.924469 \nL 157.507337 142.901538 \nL 159.427091 144.454643 \nL 161.394422 145.613216 \nL 163.482465 146.392445 \nL 165.746439 146.795004 \nL 168.225043 146.813136 \nL 170.940028 146.43133 \nL 173.893759 145.630036 \nL 177.064713 144.390898 \nL 180.401147 142.704281 \nL 183.813609 140.579434 \nL 187.167834 138.057344 \nL 190.2807 135.224919 \nL 191.676594 133.735188 \nL 192.923393 132.227243 \nL 193.98783 130.729054 \nL 194.836541 129.271998 \nL 195.437441 127.890015 \nL 195.761327 126.618386 \nL 195.783625 125.492136 \nL 195.486173 124.544147 \nL 194.858845 123.80311 \nL 193.900866 123.291492 \nL 192.621625 123.023789 \nL 191.040848 123.005294 \nL 189.188018 123.231554 \nL 187.101085 123.688689 \nL 184.824533 124.354506 \nL 179.898808 126.1936 \nL 174.804806 128.485343 \nL 169.89109 130.975212 \nL 165.415495 133.470236 \nL 161.532852 135.856578 \nL 158.307721 138.088444 \nL 155.738847 140.163975 \nL 153.784633 142.101558 \nL 152.384043 143.92308 \nL 151.471397 145.644915 \nL 150.985692 147.274649 \nL 150.87578 148.811097 \nL 151.10274 150.245689 \nL 151.640509 151.564024 \nL 152.475517 152.746996 \nL 153.605814 153.771283 \nL 155.039932 154.609208 \nL 156.795581 155.228037 \nL 158.89806 155.588851 \nL 161.378189 155.645212 \nL 164.269308 155.341836 \nL 167.602763 154.613795 \nL 171.40102 153.386967 \nL 175.66736 151.581007 \nL 180.371042 149.116795 \nL 182.863117 147.616826 \nL 185.427112 145.930934 \nL 188.039802 144.057688 \nL 190.671291 142.00038 \nL 193.284221 139.768459 \nL 195.833172 137.379079 \nL 198.264399 134.858667 \nL 200.516054 132.244343 \nL 202.519088 129.584935 \nL 204.199069 126.941294 \nL 205.479016 124.38554 \nL 206.283409 121.998899 \nL 206.54322 119.867843 \nL 206.201765 118.078477 \nL 205.220787 116.70947 \nL 203.586011 115.824151 \nL 201.311227 115.462937 \nL 198.439966 115.6374 \nL 195.044123 116.327427 \nL 191.219377 117.482284 \nL 187.077868 119.025868 \nL 182.739214 120.865209 \nL 173.932139 125.036793 \nL 161.76282 131.296275 \nL 152.025836 136.520034 \nL 147.014174 139.356984 \nL 143.057374 141.807267 \nL 139.97925 144.003191 \nL 137.595282 146.050529 \nL 135.734722 148.019179 \nL 134.249537 149.947725 \nL 132.461181 152.796887 \nL 128.246285 160.066916 \nL 126.984508 161.767321 \nL 125.538976 163.404057 \nL 123.861073 164.967152 \nL 121.89962 166.443261 \nL 119.599591 167.812989 \nL 116.901671 169.047218 \nL 113.743113 170.102118 \nL 110.060601 170.912495 \nL 108.004325 171.197694 \nL 105.796338 171.383181 \nL 103.432098 171.450661 \nL 100.909179 171.37861 \nL 98.228083 171.14194 \nL 95.393218 170.711755 \nL 92.414083 170.055237 \nL 89.306666 169.135769 \nL 86.095016 167.913397 \nL 82.812961 166.345801 \nL 79.505836 164.389931 \nL 76.2321 162.004521 \nL 73.064502 159.153638 \nL 70.090517 155.811361 \nL 67.411519 151.967588 \nL 65.140256 147.634638 \nL 63.396127 142.85405 \nL 62.29799 137.702515 \nL 61.954647 132.29548 \nL 62.453624 126.786798 \nL 63.849651 121.362913 \nL 66.154758 116.230833 \nL 69.332193 111.600488 \nL 73.295971 107.663541 \nL 77.916923 104.572359 \nL 83.034577 102.423232 \nL 88.472839 101.247438 \nL 94.056495 101.011862 \nL 99.625623 101.628529 \nL 105.045827 102.9704 \nL 110.213456 104.889607 \nL 115.056249 107.234599 \nL 119.530596 109.863637 \nL 123.616852 112.653541 \nL 127.314003 115.503855 \nL 130.634566 118.337324 \nL 133.600205 121.097968 \nL 136.238249 123.747813 \nL 140.654206 128.631561 \nL 144.131948 132.912491 \nL 148.098034 138.245289 \nL 152.056912 143.603672 \nL 153.801867 145.648163 \nL 155.540717 147.318964 \nL 157.360638 148.636966 \nL 159.333518 149.610135 \nL 161.519066 150.233996 \nL 163.96652 150.492316 \nL 166.71464 150.358068 \nL 169.789655 149.795088 \nL 173.20073 148.76102 \nL 176.932596 147.212497 \nL 180.935121 145.113771 \nL 185.110171 142.450132 \nL 187.215056 140.912194 \nL 189.297317 139.24693 \nL 191.325205 137.46771 \nL 193.262029 135.593512 \nL 195.0664 133.649579 \nL 196.692882 131.667864 \nL 198.093061 129.687085 \nL 199.217153 127.752269 \nL 200.016158 125.91362 \nL 200.444501 124.224625 \nL 200.46307 122.739357 \nL 200.042412 121.509101 \nL 199.165774 120.578521 \nL 197.831599 119.981774 \nL 196.055085 119.739111 \nL 193.868465 119.854533 \nL 191.319797 120.314947 \nL 188.470321 121.091103 \nL 185.390615 122.140313 \nL 182.156032 123.410525 \nL 175.519694 126.388052 \nL 169.094601 129.599539 \nL 163.264166 132.732476 \nL 158.239492 135.622893 \nL 154.086287 138.230001 \nL 150.77134 140.585666 \nL 148.206766 142.748753 \nL 146.282835 144.776371 \nL 144.888795 146.711066 \nL 143.924302 148.578435 \nL 143.30462 150.389773 \nL 142.962013 152.146256 \nL 142.845086 153.842859 \nL 142.917163 155.471266 \nL 143.15438 157.021753 \nL 143.543881 158.484116 \nL 144.082305 159.847947 \nL 144.774666 161.102394 \nL 145.633624 162.235581 \nL 146.679134 163.233741 \nL 147.938416 164.080086 \nL 149.44617 164.753419 \nL 151.24494 165.226381 \nL 153.385457 165.463315 \nL 155.926702 165.417628 \nL 158.935288 165.028675 \nL 162.483449 164.218256 \nL 166.644569 162.887204 \nL 171.484542 160.913119 \nL 174.174073 159.640479 \nL 177.046507 158.151465 \nL 180.099566 156.425937 \nL 183.325686 154.444147 \nL 186.710446 152.187929 \nL 190.230735 149.642347 \nL 193.852685 146.797893 \nL 197.529469 143.653303 \nL 201.199104 140.219024 \nL 204.782526 136.521223 \nL 208.182276 132.606147 \nL 211.282389 128.544342 \nL 213.950031 124.433995 \nL 216.039694 120.402329 \nL 217.400535 116.60369 \nL 217.887287 113.212899 \nL 217.374445 110.412842 \nL 215.772643 108.3761 \nL 213.044849 107.242271 \nL 209.219045 107.09452 \nL 204.393723 107.940769 \nL 198.733311 109.70536 \nL 192.452971 112.235272 \nL 185.795074 115.320963 \nL 179.002336 118.727341 \nL 154.202045 131.623596 \nL 144.559022 136.21668 \nL 136.885191 139.513233 \nL 128.424829 142.802699 \nL 121.034552 145.717781 \nL 117.154868 147.523983 \nL 109.892284 151.112853 \nL 107.791596 151.87046 \nL 105.570764 152.43102 \nL 103.207556 152.742988 \nL 100.70181 152.751048 \nL 98.077184 152.397584 \nL 95.383931 151.625802 \nL 94.035286 151.066843 \nL 92.701837 150.385376 \nL 91.39845 149.577594 \nL 90.141892 148.641399 \nL 88.950671 147.576874 \nL 87.844759 146.386749 \nL 86.845208 145.076889 \nL 85.973631 143.656735 \nL 85.251535 142.139639 \nL 84.699549 140.543083 \nL 84.336534 138.888699 \nL 84.178652 137.202038 \nL 84.238433 135.512069 \nL 84.523918 133.850389 \nL 85.037948 132.25014 \nL 85.777688 130.744711 \nL 86.734431 129.366281 \nL 87.893741 128.144335 \nL 89.235916 127.10427 \nL 90.736774 126.266232 \nL 92.368672 125.644263 \nL 94.101696 125.245865 \nL 95.904907 125.07199 \nL 97.747551 125.117451 \nL 99.600142 125.371652 \nL 101.43537 125.819575 \nL 103.228747 126.442912 \nL 104.959062 127.221214 \nL 106.608567 128.132975 \nL 108.162995 129.156602 \nL 109.611405 130.27117 \nL 110.945919 131.457027 \nL 112.161373 132.696183 \nL 114.22571 135.271969 \nL 115.802717 137.893293 \nL 116.910006 140.484216 \nL 117.57472 142.993018 \nL 117.826262 145.386001 \nL 117.691393 147.641609 \nL 117.191313 149.745391 \nL 116.34028 151.685812 \nL 115.145418 153.450807 \nL 113.607497 155.024778 \nL 111.72256 156.3858 \nL 109.484518 157.50292 \nL 106.888894 158.333413 \nL 103.938069 158.820213 \nL 102.333797 158.912461 \nL 100.648458 158.889931 \nL 98.887846 158.740813 \nL 97.059934 158.452368 \nL 95.175293 158.011125 \nL 93.247514 157.403168 \nL 91.293632 156.614575 \nL 89.334497 155.631991 \nL 87.395085 154.443416 \nL 85.504668 153.039156 \nL 83.696783 151.412984 \nL 82.008942 149.563449 \nL 80.482015 147.495329 \nL 79.159187 145.221049 \nL 78.084491 142.762004 \nL 77.300882 140.149547 \nL 76.847942 137.425448 \nL 76.759302 134.641598 \nL 77.060035 131.858778 \nL 77.764243 129.144428 \nL 78.873174 126.569389 \nL 80.374151 124.203887 \nL 82.240522 122.113109 \nL 84.432753 120.35286 \nL 86.900576 118.96584 \nL 89.585974 117.979059 \nL 92.426675 117.402668 \nL 95.359729 117.230359 \nL 98.324784 117.441126 \nL 101.266771 118.002122 \nL 104.137806 118.872102 \nL 106.898292 120.004999 \nL 109.517237 121.353208 \nL 111.972003 122.870358 \nL 114.247575 124.513332 \nL 116.33559 126.243617 \nL 118.233247 128.027982 \nL 119.942192 129.838652 \nL 121.467482 131.653094 \nL 122.81666 133.453569 \nL 125.024605 136.962066 \nL 126.64898 140.295221 \nL 127.774483 143.423033 \nL 128.478262 146.33963 \nL 128.825095 149.052817 \nL 128.865484 151.577229 \nL 128.635476 153.930011 \nL 128.15739 156.128212 \nL 127.440889 158.18716 \nL 126.484084 160.119378 \nL 125.274478 161.933706 \nL 123.789725 163.634318 \nL 121.998231 165.219398 \nL 119.859772 166.679244 \nL 117.326397 167.993452 \nL 114.344093 169.126892 \nL 110.85591 170.024109 \nL 108.904846 170.359453 \nL 106.807682 170.601876 \nL 104.559704 170.735115 \nL 102.157937 170.739946 \nL 99.601854 170.593877 \nL 96.894233 170.270876 \nL 94.04221 169.741231 \nL 91.058501 168.971563 \nL 87.962827 167.925127 \nL 84.783474 166.562521 \nL 81.558925 164.842931 \nL 78.339437 162.726128 \nL 75.18836 160.175346 \nL 72.182875 157.161171 \nL 69.413818 153.666511 \nL 66.984107 149.692458 \nL 65.005325 145.264616 \nL 63.592137 140.439152 \nL 62.854418 135.307379 \nL 62.887468 129.997446 \nL 63.761203 124.671628 \nL 65.509885 119.518134 \nL 68.124313 114.737321 \nL 71.548377 110.523398 \nL 75.681329 107.044368 \nL 80.385943 104.423754 \nL 85.501366 102.727848 \nL 90.858381 101.96108 \nL 96.294296 102.070191 \nL 101.664988 102.955761 \nL 106.852698 104.488156 \nL 111.769243 106.524414 \nL 116.355371 108.923064 \nL 120.577469 111.55513 \nL 124.422912 114.310708 \nL 127.895119 117.101577 \nL 131.008985 119.860804 \nL 133.787049 122.540501 \nL 138.44682 127.545695 \nL 142.111079 131.992614 \nL 145.013856 135.868119 \nL 151.949677 145.565693 \nL 153.608239 147.426533 \nL 155.316346 148.941913 \nL 157.150479 150.12428 \nL 159.175243 150.973767 \nL 161.445862 151.478489 \nL 164.009208 151.614957 \nL 166.903037 151.34881 \nL 170.153044 150.636343 \nL 173.767195 149.427569 \nL 177.726888 147.67192 \nL 181.974571 145.328115 \nL 184.174004 143.928991 \nL 186.398261 142.379761 \nL 188.622079 140.685951 \nL 190.814815 138.857798 \nL 192.940214 136.911214 \nL 194.956416 134.868703 \nL 196.816328 132.760115 \nL 198.468455 130.623077 \nL 199.858289 128.502957 \nL 200.930344 126.452115 \nL 201.63083 124.52836 \nL 201.910898 122.792407 \nL 201.730298 121.30441 \nL 201.061111 120.119721 \nL 199.891153 119.284235 \nL 198.226523 118.829919 \nL 196.092877 118.771181 \nL 193.53499 119.102788 \nL 190.614525 119.799821 \nL 187.406174 120.819892 \nL 183.99258 122.107303 \nL 180.458781 123.598559 \nL 173.35132 126.934963 \nL 166.632635 130.374419 \nL 160.662088 133.618999 \nL 155.607307 136.542373 \nL 151.488709 139.142635 \nL 148.235509 141.480199 \nL 145.732503 143.630197 \nL 143.851766 145.656662 \nL 142.471085 147.60363 \nL 141.483067 149.495886 \nL 140.798415 151.343525 \nL 140.34593 153.147119 \nL 139.986613 155.759169 \nL 139.901726 158.238473 \nL 140.016808 160.562955 \nL 140.296245 162.715442 \nL 140.732954 164.68324 \nL 141.342285 166.455649 \nL 142.15952 168.020621 \nL 142.846432 168.940496 \nL 143.672115 169.75331 \nL 144.663901 170.448929 \nL 145.855202 171.013472 \nL 147.286511 171.428 \nL 149.006523 171.666822 \nL 151.073287 171.695231 \nL 153.555197 171.466554 \nL 156.531473 170.918372 \nL 160.091517 169.967843 \nL 164.332013 168.506335 \nL 169.349963 166.394154 \nL 172.177648 165.041023 \nL 175.228683 163.457336 \nL 178.507192 161.616473 \nL 182.012364 159.49075 \nL 185.736611 157.052475 \nL 189.663312 154.275576 \nL 193.764105 151.137935 \nL 197.995795 147.624629 \nL 202.296957 143.732209 \nL 206.584482 139.474089 \nL 210.750459 134.88695 \nL 214.660062 130.037789 \nL 218.15133 125.030802 \nL 221.038017 120.0127 \nL 223.116826 115.174408 \nL 224.180278 110.746485 \nL 224.035675 106.985639 \nL 222.529545 104.15047 \nL 219.574589 102.46712 \nL 215.174026 102.089293 \nL 209.436349 103.061538 \nL 202.57395 105.297445 \nL 194.88242 108.582834 \nL 186.703442 112.60696 \nL 178.380015 117.014802 \nL 162.446992 125.678243 \nL 155.233483 129.461282 \nL 148.662024 132.712009 \nL 142.760699 135.404599 \nL 137.515626 137.567779 \nL 132.886583 139.26242 \nL 128.819337 140.563159 \nL 125.254262 141.545656 \nL 119.395497 142.822377 \nL 114.879951 143.520433 \nL 109.880946 144.031352 \nL 105.282796 144.275564 \nL 102.724901 144.253723 \nL 100.61456 144.036126 \nL 98.820609 143.583249 \nL 97.779545 143.138186 \nL 96.867177 142.578742 \nL 96.097276 141.913555 \nL 95.488153 141.15952 \nL 95.059099 140.341694 \nL 94.826915 139.492511 \nL 94.802749 138.650106 \nL 94.989514 137.855853 \nL 95.380154 137.151237 \nL 95.956993 136.574427 \nL 96.692306 136.157005 \nL 97.549997 135.921347 \nL 98.488126 135.879035 \nL 99.461883 136.030457 \nL 100.42659 136.365605 \nL 101.340316 136.865753 \nL 102.165862 137.505639 \nL 102.872025 138.255811 \nL 103.434145 139.084711 \nL 103.834094 139.960416 \nL 104.059885 140.851807 \nL 104.10509 141.729293 \nL 103.968224 142.565128 \nL 103.65225 143.333413 \nL 103.164273 144.009996 \nL 102.515446 144.572286 \nL 101.721148 144.999194 \nL 100.801328 145.271244 \nL 99.780988 145.370997 \nL 98.690673 145.283834 \nL 97.566786 144.999162 \nL 96.451566 144.512031 \nL 95.392446 143.825084 \nL 94.440599 142.950641 \nL 93.648516 141.912559 \nL 93.066551 140.747446 \nL 92.738646 139.504636 \nL 92.697673 138.244494 \nL 92.961084 137.034799 \nL 93.527694 135.945357 \nL 94.376389 135.041507 \nL 95.467162 134.377562 \nL 96.744507 133.991488 \nL 98.142553 133.901721 \nL 99.591078 134.106749 \nL 101.021291 134.587205 \nL 102.370604 135.30979 \nL 103.585815 136.232037 \nL 104.624656 137.306953 \nL 105.455921 138.486864 \nL 106.058552 139.726122 \nL 106.420152 140.982643 \nL 106.535353 142.21846 \nL 106.404282 143.399503 \nL 106.031417 144.494949 \nL 105.424878 145.476332 \nL 104.596249 146.316639 \nL 103.560929 146.989537 \nL 102.338954 147.468907 \nL 100.956231 147.72884 \nL 99.446055 147.744199 \nL 97.850664 147.492025 \nL 96.222574 146.953825 \nL 94.625198 146.118887 \nL 93.132275 144.988501 \nL 91.825475 143.580664 \nL 90.789748 141.93454 \nL 90.106272 140.113417 \nL 89.918778 139.163707 \nL 89.843466 138.204791 \nL 89.88529 137.250706 \nL 90.047238 136.316236 \nL 90.330126 135.416506 \nL 90.73247 134.56657 \nL 91.250428 133.780929 \nL 91.877847 133.073072 \nL 92.606402 132.45504 \nL 93.42582 131.937037 \nL 94.324168 131.527114 \nL 95.288222 131.230968 \nL 96.303867 131.05183 \nL 97.356498 130.990488 \nL 98.43143 131.045388 \nL 100.591238 131.487312 \nL 102.677119 132.327793 \nL 104.59993 133.498036 \nL 106.291151 134.920829 \nL 107.702977 136.519293 \nL 108.805953 138.222748 \nL 109.585313 139.969732 \nL 110.036976 141.708665 \nL 110.163901 143.39692 \nL 109.97317 144.999043 \nL 109.47397 146.484522 \nL 108.676511 147.825558 \nL 107.591874 148.994953 \nL 106.232724 149.964289 \nL 104.614872 150.702471 \nL 102.759638 151.174792 \nL 100.696965 151.3428 \nL 98.469101 151.165243 \nL 96.134594 150.600589 \nL 93.771942 149.611645 \nL 92.610674 148.949331 \nL 91.481949 148.172691 \nL 90.401814 147.281888 \nL 89.387445 146.279117 \nL 88.456886 145.168984 \nL 87.628671 143.958844 \nL 86.921352 142.6591 \nL 86.352925 141.283391 \nL 85.940178 139.848662 \nL 85.697977 138.375066 \nL 85.638543 136.885651 \nL 85.770758 135.405862 \nL 86.099555 133.962806 \nL 86.625444 132.584342 \nL 87.344234 131.29801 \nL 88.246992 130.129914 \nL 89.320237 129.103593 \nL 90.546383 128.239009 \nL 91.904401 127.551716 \nL 93.370654 127.052296 \nL 94.919824 126.746109 \nL 96.525878 126.633316 \nL 98.162998 126.709257 \nL 99.806414 126.965015 \nL 101.43308 127.388177 \nL 103.022208 127.963696 \nL 104.555603 128.67476 \nL 106.017837 129.503625 \nL 107.396278 130.432346 \nL 108.680991 131.443399 \nL 110.941754 133.647132 \nL 112.765945 135.997426 \nL 114.145867 138.400561 \nL 115.090983 140.786121 \nL 115.619905 143.103483 \nL 115.754268 145.31712 \nL 115.514503 147.401809 \nL 114.91729 149.338315 \nL 113.974403 151.109647 \nL 112.692723 152.697845 \nL 111.07524 154.081103 \nL 109.123043 155.231196 \nL 106.838368 156.111049 \nL 104.228901 156.672655 \nL 101.313552 156.855606 \nL 99.751949 156.78274 \nL 98.129901 156.586948 \nL 96.456506 156.257526 \nL 94.743214 155.783475 \nL 93.004142 155.153831 \nL 91.25636 154.358113 \nL 89.520118 153.386871 \nL 87.818975 152.232396 \nL 86.179798 150.88955 \nL 84.632586 149.356712 \nL 83.210045 147.636814 \nL 81.946899 145.738383 \nL 80.878896 143.676536 \nL 80.041489 141.473763 \nL 79.468225 139.160411 \nL 79.188934 136.774691 \nL 79.227781 134.362077 \nL 79.601401 131.974026 \nL 80.317276 129.666003 \nL 81.372573 127.494844 \nL 82.753608 125.515724 \nL 84.436076 123.778917 \nL 86.386064 122.326761 \nL 88.561765 121.191177 \nL 90.915756 120.391974 \nL 93.397563 119.936197 \nL 95.956262 119.818522 \nL 98.542876 120.022583 \nL 101.112341 120.523013 \nL 103.624958 121.287882 \nL 106.047261 122.281278 \nL 108.352366 123.465688 \nL 110.51987 124.80404 \nL 112.535412 126.261292 \nL 114.390018 127.805537 \nL 116.079318 129.408627 \nL 117.602731 131.046453 \nL 118.962674 132.698894 \nL 120.163825 134.349596 \nL 122.115968 137.596914 \nL 123.519444 140.717742 \nL 124.438542 143.675353 \nL 124.932864 146.455292 \nL 125.05239 149.056466 \nL 124.835094 151.484859 \nL 124.306223 153.749214 \nL 123.478519 155.858023 \nL 122.352949 157.817313 \nL 120.919691 159.628774 \nL 119.159287 161.287828 \nL 117.044051 162.781414 \nL 114.539977 164.085094 \nL 111.609588 165.159308 \nL 108.21639 165.944596 \nL 106.336767 166.203461 \nL 104.331937 166.355812 \nL 102.201388 166.385968 \nL 99.946764 166.275893 \nL 97.572518 166.005108 \nL 95.086676 165.550677 \nL 92.501727 164.887364 \nL 89.835583 163.987992 \nL 87.112627 162.824076 \nL 84.36473 161.366869 \nL 81.632208 159.588849 \nL 78.96453 157.465782 \nL 76.42062 154.979375 \nL 74.068526 152.120509 \nL 71.984209 148.892966 \nL 70.249213 145.317309 \nL 68.947037 141.434543 \nL 68.158194 137.308854 \nL 67.954125 133.028697 \nL 68.390479 128.705427 \nL 69.500536 124.468875 \nL 71.289772 120.459666 \nL 73.732666 116.818797 \nL 76.772558 113.675596 \nL 80.324951 111.135823 \nL 84.283966 109.272008 \nL 88.531011 108.117612 \nL 92.944297 107.666122 \nL 97.407732 107.874875 \nL 101.818026 108.672695 \nL 106.089324 109.969646 \nL 110.155283 111.667065 \nL 113.968948 113.666454 \nL 117.501035 115.876248 \nL 120.737304 118.216176 \nL 123.675591 120.619356 \nL 126.322902 123.032601 \nL 128.692833 125.415502 \nL 130.803398 127.7388 \nL 134.33062 132.133887 \nL 137.080977 136.135765 \nL 139.227409 139.730813 \nL 141.649623 144.409112 \nL 145.597813 152.588612 \nL 146.662136 154.350603 \nL 147.81003 155.888566 \nL 149.091375 157.207535 \nL 150.553798 158.304593 \nL 152.245014 159.168344 \nL 154.214591 159.778054 \nL 156.515012 160.102417 \nL 159.201829 160.097938 \nL 162.332488 159.707095 \nL 165.963141 158.85665 \nL 170.142406 157.456871 \nL 174.900566 155.403148 \nL 177.497098 154.095748 \nL 180.232305 152.58254 \nL 183.095751 150.85062 \nL 186.071037 148.889238 \nL 189.134497 146.691151 \nL 192.253785 144.254337 \nL 195.38649 141.584078 \nL 198.47885 138.695379 \nL 201.464833 135.61558 \nL 204.265781 132.387012 \nL 206.790994 129.069281 \nL 208.939629 125.740709 \nL 210.604263 122.498272 \nL 211.676439 119.455311 \nL 212.054227 116.736315 \nL 211.6515 114.468419 \nL 210.408122 112.76982 \nL 208.299642 111.736132 \nL 205.344696 111.426784 \nL 201.60822 111.854227 \nL 197.199068 112.978769 \nL 192.261665 114.711137 \nL 186.962763 116.922981 \nL 181.475632 119.463431 \nL 170.572689 124.926548 \nL 152.007576 134.467242 \nL 135.119272 142.952192 \nL 131.72013 144.919565 \nL 129.019441 146.735102 \nL 126.803865 148.479164 \nL 124.010166 151.032421 \nL 119.693123 155.097841 \nL 117.807556 156.598617 \nL 115.723881 157.98292 \nL 113.385548 159.212605 \nL 110.745163 160.241024 \nL 107.765542 161.009797 \nL 104.423225 161.44506 \nL 102.614016 161.509411 \nL 100.715023 161.453901 \nL 98.730677 161.263582 \nL 96.668152 160.922206 \nL 94.537888 160.412409 \nL 92.354145 159.716012 \nL 90.135586 158.814499 \nL 87.905805 157.689738 \nL 85.693808 156.324919 \nL 83.53432 154.705816 \nL 81.467846 152.822322 \nL 79.540378 150.670253 \nL 77.802643 148.253386 \nL 76.308752 145.585515 \nL 75.114234 142.692395 \nL 74.273363 139.613242 \nL 73.835937 136.401447 \nL 73.843638 133.124192 \nL 74.326344 129.860634 \nL 75.298792 126.698524 \nL 76.758084 123.729363 \nL 78.682487 121.042417 \nL 81.031851 118.718291 \nL 83.749697 116.822833 \nL 86.766828 115.402303 \nL 90.005985 114.480423 \nL 93.386965 114.05781 \nL 96.831538 114.113671 \nL 100.267605 114.609399 \nL 103.632258 115.493378 \nL 106.873597 116.706208 \nL 109.951358 118.185685 \nL 112.836592 119.870964 \nL 115.510665 121.705676 \nL 117.963844 123.639912 \nL 120.193723 125.631209 \nL 122.203662 127.644729 \nL 124.001342 129.652862 \nL 125.597514 131.634498 \nL 128.237523 135.460798 \nL 130.235757 139.04979 \nL 131.704875 142.375611 \nL 132.747337 145.440271 \nL 133.450392 148.260333 \nL 133.884639 150.858756 \nL 134.104618 153.260246 \nL 134.117021 156.545123 \nL 133.81898 159.512503 \nL 133.245056 162.222446 \nL 132.708071 163.910471 \nL 132.036886 165.517761 \nL 131.215174 167.054383 \nL 130.220215 168.528572 \nL 129.022532 169.946497 \nL 127.585271 171.311688 \nL 125.863383 172.623978 \nL 123.802734 173.877765 \nL 121.339322 175.059234 \nL 118.398958 176.142146 \nL 114.898034 177.081531 \nL 110.746445 177.804528 \nL 108.398297 178.051417 \nL 105.854517 178.197564 \nL 103.106219 178.219615 \nL 100.146851 178.089329 \nL 96.973336 177.772904 \nL 93.58753 177.230341 \nL 89.998053 176.414968 \nL 86.222524 175.273257 \nL 82.290217 173.745172 \nL 78.245059 171.7653 \nL 74.148855 169.265172 \nL 70.084394 166.177181 \nL 66.158013 162.440528 \nL 62.500806 158.009574 \nL 59.267554 152.864571 \nL 56.63223 147.024288 \nL 54.779003 140.559172 \nL 53.888148 133.602577 \nL 54.117167 126.356588 \nL 55.57913 119.088551 \nL 58.321718 112.115142 \nL 62.311903 105.773184 \nL 67.431079 100.380386 \nL 73.483654 96.193137 \nL 80.218527 93.371219 \nL 87.359187 91.958365 \nL 94.635466 91.883553 \nL 101.810111 92.981622 \nL 108.695554 95.026458 \nL 115.159812 97.767628 \nL 121.123384 100.962218 \nL 126.550598 104.397039 \nL 131.43885 107.900172 \nL 135.808225 111.34342 \nL 139.692883 114.638651 \nL 146.178236 120.59108 \nL 153.362754 127.724532 \nL 159.835147 134.24645 \nL 162.288788 136.487995 \nL 164.457416 138.184369 \nL 166.467257 139.409544 \nL 168.410621 140.218199 \nL 170.350809 140.649819 \nL 172.32576 140.733122 \nL 174.350467 140.4905 \nL 176.41826 139.942527 \nL 178.501361 139.112648 \nL 180.551207 138.031934 \nL 182.499296 136.743651 \nL 184.259489 135.30697 \nL 185.732743 133.798893 \nL 186.815039 132.313074 \nL 187.408769 130.954517 \nL 187.497075 130.356525 \nL 187.436657 129.829668 \nL 187.223405 129.385251 \nL 186.85614 129.032886 \nL 186.336865 128.780097 \nL 185.670848 128.631974 \nL 184.8666 128.590959 \nL 182.892304 128.826498 \nL 180.535961 129.45409 \nL 177.946027 130.408383 \nL 175.278066 131.605731 \nL 172.676646 132.959704 \nL 170.262333 134.393266 \nL 168.125299 135.845301 \nL 166.325077 137.271589 \nL 164.894545 138.641964 \nL 163.846052 139.935837 \nL 163.177928 141.137704 \nL 162.880259 142.233589 \nL 162.939425 143.208642 \nL 163.341225 144.045782 \nL 164.072674 144.725075 \nL 165.12261 145.223612 \nL 166.481258 145.515751 \nL 168.138825 145.57366 \nL 170.083155 145.368282 \nL 172.296451 144.870919 \nL 174.751003 144.055751 \nL 177.404059 142.903644 \nL 180.192051 141.407538 \nL 183.024877 139.579552 \nL 185.781441 137.459413 \nL 188.308384 135.122898 \nL 190.424589 132.68785 \nL 191.267454 131.48186 \nL 191.934115 130.314003 \nL 192.401534 129.20905 \nL 192.649123 128.192349 \nL 192.659878 127.28875 \nL 192.421478 126.521422 \nL 191.927289 125.910577 \nL 191.177141 125.472254 \nL 190.177809 125.217283 \nL 188.943105 125.150516 \nL 187.493523 125.270516 \nL 185.855486 125.569642 \nL 184.0602 126.03467 \nL 180.137886 127.387814 \nL 176.014899 129.156562 \nL 171.960727 131.160204 \nL 168.191749 133.246656 \nL 164.856191 135.310191 \nL 162.036227 137.291085 \nL 159.760592 139.164283 \nL 158.02092 140.924994 \nL 156.787127 142.576459 \nL 156.019687 144.121814 \nL 155.678291 145.559837 \nL 155.727377 146.883361 \nL 156.139182 148.079167 \nL 156.895066 149.128426 \nL 157.985609 150.007145 \nL 159.409857 150.686337 \nL 161.173883 151.131945 \nL 163.288639 151.304556 \nL 165.76694 151.159217 \nL 168.619243 150.645676 \nL 171.847745 149.709742 \nL 175.438307 148.296568 \nL 179.349702 146.357019 \nL 183.500134 143.858553 \nL 187.751883 140.801838 \nL 189.853727 139.07887 \nL 191.896668 137.243257 \nL 193.842211 135.315036 \nL 195.64711 133.32085 \nL 197.26405 131.294355 \nL 198.642857 129.276224 \nL 199.732222 127.313584 \nL 200.48201 125.458718 \nL 200.846092 123.766966 \nL 200.785541 122.29379 \nL 200.271956 121.091154 \nL 199.290576 120.20346 \nL 197.842748 119.663532 \nL 195.947332 119.489208 \nL 193.64073 119.681126 \nL 190.975329 120.222182 \nL 188.016475 121.078893 \nL 184.838265 122.20455 \nL 181.518699 123.54374 \nL 174.758341 126.628265 \nL 168.269576 129.901955 \nL 162.42479 133.059808 \nL 157.41903 135.951559 \nL 153.302532 138.549394 \nL 150.029933 140.894093 \nL 147.505015 143.049177 \nL 145.612923 145.073349 \nL 144.24005 147.009103 \nL 143.284638 148.881372 \nL 142.661319 150.700775 \nL 142.302056 152.468102 \nL 142.155176 154.178297 \nL 142.183544 155.823403 \nL 142.503732 158.149211 \nL 142.885174 159.591878 \nL 143.398677 160.937733 \nL 144.050695 162.177516 \nL 144.854527 163.301085 \nL 145.8301 164.296571 \nL 147.004074 165.149335 \nL 148.410195 165.840667 \nL 150.089818 166.346175 \nL 152.092474 166.633785 \nL 154.476279 166.661228 \nL 157.307844 166.372974 \nL 160.661126 165.696634 \nL 164.614285 164.539089 \nL 169.243067 162.783115 \nL 174.608448 160.286179 \nL 177.577392 158.70926 \nL 180.735367 156.884796 \nL 184.074262 154.791651 \nL 187.578551 152.410409 \nL 191.223281 149.72519 \nL 194.97181 146.7261 \nL 198.77338 143.412351 \nL 202.56072 139.796121 \nL 206.247947 135.907007 \nL 209.729198 131.796875 \nL 212.878627 127.54448 \nL 215.552439 123.259019 \nL 217.593835 119.081376 \nL 218.841573 115.181434 \nL 219.142517 111.749893 \nL 218.367784 108.983412 \nL 216.431003 107.063252 \nL 213.305866 106.129396 \nL 209.038921 106.254906 \nL 203.753515 107.426807 \nL 197.641986 109.540149 \nL 190.94615 112.409047 \nL 183.929551 115.793681 \nL 169.923039 123.099301 \nL 157.184059 129.773825 \nL 151.556535 132.581414 \nL 146.471872 134.991387 \nL 137.886463 138.709426 \nL 131.17581 141.272482 \nL 114.815712 147.170277 \nL 108.604617 149.728377 \nL 106.587773 150.342786 \nL 104.501023 150.771004 \nL 102.323112 150.966436 \nL 100.055397 150.881152 \nL 97.722195 150.468058 \nL 95.371765 149.684316 \nL 93.077079 148.496626 \nL 91.980094 147.745304 \nL 90.935178 146.88872 \nL 89.95765 145.929033 \nL 89.063674 144.870688 \nL 88.269882 143.720705 \nL 87.592933 142.488918 \nL 87.048975 141.18811 \nL 86.653043 139.83407 \nL 86.418424 138.445462 \nL 86.355997 137.043545 \nL 86.473621 135.651697 \nL 86.775582 134.294764 \nL 87.262193 132.998236 \nL 87.929531 131.787315 \nL 88.769402 130.685914 \nL 89.769505 129.715671 \nL 90.913814 128.895054 \nL 92.183151 128.238608 \nL 93.55591 127.756461 \nL 95.008872 127.454048 \nL 96.518064 127.332138 \nL 98.059586 127.387111 \nL 99.610359 127.611432 \nL 101.148756 127.994306 \nL 102.655097 128.522406 \nL 104.111981 129.180656 \nL 105.504477 129.952968 \nL 106.820178 130.822896 \nL 109.183713 132.791395 \nL 111.149493 134.966251 \nL 112.693955 137.246153 \nL 113.814643 139.551076 \nL 114.522205 141.820881 \nL 114.833752 144.011755 \nL 114.767954 146.091919 \nL 114.341772 148.03739 \nL 113.56867 149.828204 \nL 112.458066 151.445054 \nL 111.015846 152.866372 \nL 109.245888 154.065728 \nL 107.152593 155.009478 \nL 104.744569 155.65475 \nL 102.039599 155.948015 \nL 100.585374 155.942885 \nL 99.071056 155.824759 \nL 97.504533 155.584128 \nL 95.8957 155.211179 \nL 94.256732 154.696046 \nL 92.602347 154.029167 \nL 90.950022 153.201736 \nL 89.320137 152.206263 \nL 87.73603 151.037261 \nL 86.223896 149.692026 \nL 84.81251 148.171508 \nL 83.532734 146.481208 \nL 82.416769 144.632073 \nL 81.49714 142.641263 \nL 80.805406 140.532696 \nL 80.370679 138.337274 \nL 80.217967 136.092645 \nL 80.366506 133.842416 \nL 80.828206 131.634778 \nL 81.606388 129.520552 \nL 82.694977 127.550758 \nL 84.07826 125.773908 \nL 85.73133 124.233243 \nL 87.621162 122.964262 \nL 89.708266 121.992765 \nL 91.948743 121.333663 \nL 94.29653 120.990651 \nL 96.705637 120.956759 \nL 99.132151 121.215652 \nL 101.535861 121.743454 \nL 103.881428 122.510902 \nL 106.139085 123.485506 \nL 108.284883 124.633584 \nL 110.300583 125.92196 \nL 112.173265 127.319295 \nL 113.89474 128.796994 \nL 115.460892 130.32975 \nL 116.870958 131.89576 \nL 118.126841 133.476711 \nL 119.232469 135.057578 \nL 121.015446 138.173557 \nL 122.272019 141.176743 \nL 123.058081 144.030614 \nL 123.425375 146.718873 \nL 123.416875 149.237485 \nL 123.06452 151.588862 \nL 122.388448 153.77771 \nL 121.397185 155.807969 \nL 120.088391 157.680415 \nL 118.449975 159.390443 \nL 116.461576 160.925747 \nL 114.096585 162.263585 \nL 111.325028 163.367377 \nL 108.117929 164.182572 \nL 106.343827 164.458787 \nL 104.453904 164.631756 \nL 102.4483 164.687399 \nL 100.329109 164.609627 \nL 98.100949 164.380271 \nL 95.771622 163.979122 \nL 93.352867 163.384076 \nL 90.86117 162.571471 \nL 88.318634 161.516676 \nL 85.753824 160.19497 \nL 83.202535 158.582827 \nL 80.708365 156.659623 \nL 78.322947 154.409833 \nL 76.105665 151.825695 \nL 74.122675 148.910216 \nL 72.445039 145.680357 \nL 71.145807 142.170013 \nL 70.296084 138.432344 \nL 69.960129 134.540845 \nL 70.189888 130.58857 \nL 71.019508 126.684968 \nL 72.460603 122.950218 \nL 74.499085 119.507207 \nL 77.094269 116.471995 \nL 80.180696 113.94399 \nL 83.672559 111.997314 \nL 87.470203 110.67488 \nL 91.467762 109.986052 \nL 95.560777 109.908175 \nL 99.652777 110.391517 \nL 103.660136 111.366485 \nL 107.514891 112.751758 \nL 111.165651 114.462043 \nL 114.576938 116.414602 \nL 117.727503 118.533912 \nL 120.608062 120.754514 \nL 123.218883 123.022186 \nL 125.567473 125.29387 \nL 127.666529 127.536777 \nL 129.532234 129.727026 \nL 132.637779 133.8895 \nL 135.038297 137.712299 \nL 136.883904 141.182603 \nL 138.309267 144.316582 \nL 139.905353 148.450576 \nL 143.219219 157.678662 \nL 144.407785 159.922826 \nL 145.332608 161.21534 \nL 146.403317 162.343919 \nL 147.656442 163.301387 \nL 149.132319 164.074254 \nL 150.876456 164.641614 \nL 152.940626 164.973568 \nL 155.383527 165.029097 \nL 158.270701 164.753387 \nL 161.673162 164.074683 \nL 165.663776 162.901055 \nL 170.309939 161.117987 \nL 172.895326 159.955909 \nL 175.660337 158.588636 \nL 178.60451 156.996616 \nL 181.722796 155.160314 \nL 185.004134 153.061193 \nL 188.42978 150.683129 \nL 191.971392 148.014282 \nL 195.58895 145.049574 \nL 199.228587 141.793765 \nL 202.820588 138.265113 \nL 206.277807 134.499477 \nL 209.494965 130.554523 \nL 212.349411 126.513438 \nL 214.703963 122.487261 \nL 216.412564 118.614677 \nL 217.329212 115.057866 \nL 217.320277 111.993203 \nL 216.279533 109.596212 \nL 214.144224 108.021381 \nL 210.909392 107.379369 \nL 206.636949 107.716048 \nL 201.456312 108.998884 \nL 195.554733 111.115673 \nL 189.15819 113.887782 \nL 182.506451 117.095765 \nL 169.317902 123.926786 \nL 157.363329 130.153126 \nL 147.30279 135.080734 \nL 139.219025 138.685679 \nL 130.264606 142.298762 \nL 122.474693 145.44375 \nL 118.449976 147.360578 \nL 110.106945 151.690776 \nL 107.967261 152.475084 \nL 105.68753 153.054 \nL 103.247267 153.37406 \nL 100.647911 153.377225 \nL 97.915198 153.002211 \nL 96.51437 152.653577 \nL 95.102653 152.187666 \nL 93.691691 151.597791 \nL 92.29527 150.87821 \nL 90.929326 150.024536 \nL 89.611886 149.034206 \nL 88.362901 147.906988 \nL 87.203972 146.645537 \nL 86.15791 145.25593 \nL 85.248183 143.748174 \nL 84.498168 142.136615 \nL 83.930283 140.440175 \nL 83.564995 138.682396 \nL 83.419772 136.891184 \nL 83.508031 135.098235 \nL 83.838175 133.338133 \nL 84.412807 131.64711 \nL 85.228218 130.06155 \nL 86.274195 128.616344 \nL 87.534228 127.343187 \nL 88.986093 126.269041 \nL 90.602772 125.414835 \nL 92.353656 124.794572 \nL 94.205912 124.414948 \nL 96.125882 124.275391 \nL 98.080433 124.368652 \nL 100.038139 124.681715 \nL 101.970216 125.196955 \nL 103.85121 125.893478 \nL 105.65939 126.748394 \nL 107.376907 127.738028 \nL 108.989733 128.838943 \nL 110.487436 130.02875 \nL 111.862835 131.286694 \nL 113.111593 132.594017 \nL 115.223408 135.2928 \nL 116.828399 138.018892 \nL 117.950761 140.69793 \nL 118.623073 143.281075 \nL 118.878852 145.738013 \nL 118.747677 148.050625 \nL 118.252375 150.207734 \nL 117.407753 152.200874 \nL 116.220486 154.020854 \nL 114.689901 155.654794 \nL 112.809544 157.083363 \nL 110.569637 158.277992 \nL 107.960627 159.19797 \nL 104.978233 159.787496 \nL 103.348797 159.936106 \nL 101.630463 159.973032 \nL 99.827715 159.886055 \nL 97.947152 159.661789 \nL 95.997925 159.285817 \nL 93.992223 158.74292 \nL 91.945758 158.017455 \nL 89.878245 157.093881 \nL 87.813814 155.957497 \nL 85.781333 154.595383 \nL 83.814549 152.997589 \nL 81.951977 151.158537 \nL 80.236438 149.078616 \nL 78.714192 146.765862 \nL 77.433548 144.23762 \nL 76.442969 141.521959 \nL 75.788631 138.658611 \nL 75.511617 135.699179 \nL 75.64487 132.706321 \nL 76.210226 129.751782 \nL 77.215889 126.913171 \nL 78.654704 124.269658 \nL 80.503536 121.89697 \nL 82.72398 119.862155 \nL 85.264384 118.218872 \nL 88.063003 117.003762 \nL 91.0519 116.234423 \nL 94.161141 115.909264 \nL 97.322755 116.009101 \nL 100.474074 116.500163 \nL 103.560194 117.338031 \nL 106.535451 118.471834 \nL 109.363971 119.84824 \nL 112.019458 121.414855 \nL 114.484425 123.12276 \nL 116.749075 124.928209 \nL 118.810034 126.793509 \nL 120.669062 128.687273 \nL 122.331845 130.584185 \nL 123.806917 132.464475 \nL 125.104738 134.313217 \nL 127.215696 137.87612 \nL 128.761672 141.222814 \nL 129.835873 144.337838 \nL 130.520266 147.225843 \nL 130.882224 149.902001 \nL 130.973732 152.38606 \nL 130.831992 154.698824 \nL 130.480678 156.860207 \nL 129.931342 158.888138 \nL 129.184693 160.797991 \nL 128.231585 162.602191 \nL 127.053683 164.309796 \nL 125.623817 165.925886 \nL 123.906089 167.450542 \nL 121.855914 168.87718 \nL 119.420186 170.190001 \nL 116.538006 171.360167 \nL 113.14258 172.340264 \nL 109.165327 173.056601 \nL 106.93843 173.283178 \nL 104.543794 173.398975 \nL 101.976865 173.382448 \nL 99.235717 173.208135 \nL 96.322057 172.846275 \nL 93.242468 172.262531 \nL 90.009901 171.41791 \nL 86.64542 170.269009 \nL 83.180162 168.768748 \nL 79.657437 166.867781 \nL 76.134778 164.516853 \nL 72.685738 161.670312 \nL 69.400968 158.291007 \nL 66.388143 154.356639 \nL 63.770023 149.867362 \nL 61.68011 144.854105 \nL 60.255322 139.386533 \nL 59.625619 133.578945 \nL 59.901064 127.59211 \nL 61.157735 121.628888 \nL 63.424764 115.922204 \nL 66.675216 110.715462 \nL 70.823526 106.237429 \nL 75.730915 102.67589 \nL 81.218537 100.15536 \nL 87.086018 98.723867 \nL 93.131719 98.351676 \nL 99.1708 98.941654 \nL 105.048198 100.348086 \nL 110.645272 102.399176 \nL 115.880605 104.918395 \nL 120.706485 107.741289 \nL 125.103013 110.726202 \nL 129.071475 113.759159 \nL 132.628143 116.754134 \nL 135.799075 119.650356 \nL 141.113792 125.003937 \nL 145.292307 129.673867 \nL 150.015193 135.405408 \nL 154.600768 140.998452 \nL 156.550611 143.063892 \nL 158.444332 144.707142 \nL 160.378864 145.958341 \nL 162.430559 146.833362 \nL 164.658428 147.33522 \nL 167.105847 147.455844 \nL 169.800465 147.178344 \nL 172.75208 146.480183 \nL 175.948351 145.337825 \nL 179.348391 143.733584 \nL 182.874689 141.665322 \nL 186.404592 139.159341 \nL 189.763734 136.285712 \nL 191.310273 134.748704 \nL 192.72537 133.173416 \nL 193.974214 131.58675 \nL 195.020908 130.019789 \nL 195.829772 128.507178 \nL 196.366939 127.086085 \nL 196.60217 125.79472 \nL 196.510841 124.670467 \nL 196.075883 123.747671 \nL 195.289507 123.055317 \nL 194.154524 122.614851 \nL 192.685022 122.438354 \nL 190.906277 122.527389 \nL 188.853807 122.872765 \nL 186.571645 123.455224 \nL 184.109952 124.247103 \nL 178.862624 126.320887 \nL 173.530656 128.801106 \nL 168.467683 131.422517 \nL 163.920836 133.997835 \nL 160.025873 136.427711 \nL 156.826616 138.682077 \nL 154.303581 140.771563 \nL 152.401098 142.722547 \nL 151.048269 144.561083 \nL 150.173052 146.305177 \nL 149.710689 147.962782 \nL 149.608059 149.532689 \nL 149.825401 151.006441 \nL 150.336488 152.370129 \nL 151.127979 153.605624 \nL 152.198409 154.691075 \nL 153.557065 155.600724 \nL 155.222809 156.304141 \nL 157.222786 156.764985 \nL 159.5908 156.939456 \nL 162.364983 156.774623 \nL 165.584202 156.206967 \nL 169.282386 155.161766 \nL 173.479684 153.554357 \nL 178.169159 151.295031 \nL 180.684325 149.894053 \nL 183.297705 148.300198 \nL 185.991264 146.507386 \nL 188.740594 144.51323 \nL 191.51391 142.32045 \nL 194.271115 139.938509 \nL 196.963072 137.385417 \nL 199.531224 134.689575 \nL 201.907776 131.891458 \nL 204.01666 129.044877 \nL 205.775555 126.217406 \nL 207.09913 123.489585 \nL 207.903633 120.952418 \nL 208.112774 118.702846 \nL 207.664535 116.837122 \nL 206.518262 115.442347 \nL 204.661095 114.58717 \nL 202.112522 114.312862 \nL 198.925975 114.626641 \nL 195.186713 115.498855 \nL 191.005846 116.865062 \nL 186.511273 118.633061 \nL 181.836916 120.693714 \nL 172.452327 125.245868 \nL 159.710381 131.829438 \nL 147.000475 138.583661 \nL 142.470911 141.165373 \nL 138.93129 143.418503 \nL 136.175253 145.477401 \nL 134.008525 147.434218 \nL 132.261163 149.341946 \nL 130.120952 152.158673 \nL 126.298764 157.612963 \nL 124.878908 159.338949 \nL 123.284026 160.995568 \nL 121.45915 162.565914 \nL 119.350026 164.028933 \nL 116.90186 165.356518 \nL 114.059339 166.50956 \nL 110.768398 167.432784 \nL 108.939215 167.784948 \nL 106.980564 168.048255 \nL 104.888586 168.208162 \nL 102.661068 168.247722 \nL 100.298011 168.147348 \nL 97.802347 167.884634 \nL 95.180779 167.434264 \nL 92.444763 166.768079 \nL 89.611636 165.855359 \nL 86.705829 164.663425 \nL 83.760136 163.158663 \nL 80.816915 161.308113 \nL 77.929102 159.081705 \nL 75.160763 156.455246 \nL 72.586986 153.414189 \nL 70.292752 149.958055 \nL 68.370465 146.105236 \nL 66.915909 141.897637 \nL 66.022518 137.404415 \nL 65.77413 132.723791 \nL 66.236809 127.981895 \nL 67.450691 123.327791 \nL 69.423183 118.924338 \nL 72.124872 114.935451 \nL 75.489321 111.511154 \nL 79.417228 108.772856 \nL 83.784579 106.801408 \nL 88.453488 105.630262 \nL 93.283962 105.244917 \nL 98.144597 105.588425 \nL 102.920807 106.571508 \nL 107.519787 108.084989 \nL 111.872271 110.012164 \nL 115.931648 112.239317 \nL 119.671335 114.663305 \nL 123.081256 117.196009 \nL 126.164134 119.766049 \nL 128.932047 122.318434 \nL 131.403488 124.812906 \nL 133.600988 127.221635 \nL 137.274053 131.718095 \nL 140.154267 135.745061 \nL 142.434441 139.306399 \nL 146.56674 146.409689 \nL 148.592953 149.634029 \nL 149.95046 151.413683 \nL 151.397245 152.916521 \nL 152.995151 154.14778 \nL 154.800646 155.10244 \nL 156.86719 155.764785 \nL 159.246568 156.107748 \nL 161.988939 156.09216 \nL 165.141179 155.66609 \nL 168.742898 154.764846 \nL 172.819222 153.312532 \nL 177.369254 151.22676 \nL 179.810443 149.921155 \nL 182.349019 148.428859 \nL 184.968957 146.743707 \nL 187.648351 144.862756 \nL 190.358468 142.78757 \nL 193.062862 140.525722 \nL 195.716633 138.092435 \nL 198.265986 135.512324 \nL 200.648269 132.821026 \nL 202.792682 130.066499 \nL 204.621895 127.309657 \nL 206.054779 124.623969 \nL 207.010364 122.093588 \nL 207.413023 119.809689 \nL 207.198644 117.864855 \nL 206.321268 116.345664 \nL 204.759392 115.324167 \nL 202.520906 114.849318 \nL 199.6456 114.939909 \nL 196.204409 115.580613 \nL 192.295073 116.722236 \nL 188.034609 118.286664 \nL 183.549681 120.175772 \nL 174.401371 124.502959 \nL 161.71158 131.017972 \nL 148.787987 137.918306 \nL 144.131193 140.580868 \nL 140.483425 142.898073 \nL 137.648617 145.00347 \nL 135.436478 146.993229 \nL 133.677763 148.925437 \nL 132.228927 150.828601 \nL 130.383041 153.645082 \nL 127.453829 158.190471 \nL 126.137101 159.926927 \nL 124.653203 161.599371 \nL 122.949824 163.194515 \nL 120.974295 164.695805 \nL 118.672104 166.080823 \nL 115.986419 167.31768 \nL 112.859029 168.360202 \nL 109.233417 169.141662 \nL 107.218036 169.406122 \nL 105.061053 169.566944 \nL 102.759469 169.606313 \nL 100.312543 169.503494 \nL 97.722546 169.234596 \nL 94.995688 168.772438 \nL 92.143201 168.086551 \nL 89.182597 167.143432 \nL 86.139043 165.907133 \nL 83.046814 164.340329 \nL 79.950703 162.406 \nL 76.907243 160.069868 \nL 73.985454 157.303723 \nL 71.266842 154.089669 \nL 68.844251 150.425179 \nL 66.819183 146.328637 \nL 65.297271 141.844823 \nL 64.381744 137.049343 \nL 64.165118 132.050842 \nL 64.719732 126.989761 \nL 66.088347 122.032496 \nL 68.276357 117.360661 \nL 71.247311 113.156028 \nL 74.923101 109.58303 \nL 79.189345 106.771759 \nL 83.905362 104.804592 \nL 88.917096 103.709182 \nL 94.0707 103.459023 \nL 99.224504 103.981088 \nL 104.257725 105.168485 \nL 109.075234 106.895248 \nL 113.608614 109.030444 \nL 117.814358 111.44966 \nL 121.670311 114.042741 \nL 125.1714 116.717903 \nL 128.325363 119.402743 \nL 131.148962 122.043129 \nL 133.664854 124.600825 \nL 137.879696 129.377503 \nL 141.191438 133.637817 \nL 143.81549 137.376465 \nL 150.876848 147.922428 \nL 152.417862 149.65767 \nL 154.051402 151.081769 \nL 155.844719 152.200003 \nL 157.857115 153.006154 \nL 160.142036 153.482375 \nL 162.747784 153.599066 \nL 165.716525 153.314955 \nL 169.081089 152.577843 \nL 172.858922 151.326794 \nL 177.042419 149.497079 \nL 181.58497 147.029617 \nL 183.961212 145.543628 \nL 186.382582 143.887194 \nL 188.823584 142.063188 \nL 191.252475 140.079496 \nL 193.630767 137.950254 \nL 195.912995 135.697116 \nL 198.046857 133.350399 \nL 199.973866 130.949938 \nL 201.63069 128.545473 \nL 202.951284 126.196211 \nL 203.869901 123.969405 \nL 204.324952 121.937649 \nL 204.263542 120.17483 \nL 203.646357 118.750897 \nL 202.452335 117.725793 \nL 200.682469 117.14327 \nL 198.362023 117.025612 \nL 195.540588 117.370204 \nL 192.289648 118.148834 \nL 188.697833 119.310121 \nL 184.864406 120.784858 \nL 180.891921 122.493356 \nL 172.91507 126.288485 \nL 165.417672 130.132568 \nL 155.897154 135.283194 \nL 150.882084 138.17937 \nL 146.87889 140.71046 \nL 143.755382 142.980035 \nL 141.355436 145.082976 \nL 139.525802 147.088307 \nL 138.129241 149.038012 \nL 137.049298 150.952726 \nL 135.819191 153.770957 \nL 134.244986 158.295511 \nL 132.990684 161.713628 \nL 131.870534 164.144063 \nL 130.480698 166.459138 \nL 129.349419 167.939593 \nL 128.010551 169.369928 \nL 126.420349 170.748337 \nL 124.528059 172.069403 \nL 122.274753 173.321649 \nL 119.592582 174.483962 \nL 116.404896 175.520404 \nL 112.62797 176.37274 \nL 108.175734 176.949951 \nL 105.671124 177.094574 \nL 102.969703 177.114101 \nL 100.065874 176.981052 \nL 96.957514 176.662706 \nL 93.647386 176.120541 \nL 90.144867 175.309848 \nL 86.468064 174.179642 \nL 82.646287 172.673089 \nL 78.722833 170.728678 \nL 74.757905 168.282515 \nL 70.831436 165.272115 \nL 67.04528 161.642035 \nL 63.524154 157.351651 \nL 60.414439 152.385075 \nL 57.879812 146.762661 \nL 56.092809 140.552856 \nL 55.221814 133.882168 \nL 55.413837 126.940162 \nL 56.77483 119.976118 \nL 59.350709 113.284492 \nL 63.113356 107.178708 \nL 67.955889 101.955818 \nL 73.699882 97.858438 \nL 80.114156 95.042383 \nL 86.941596 93.558038 \nL 93.927995 93.350027 \nL 100.846787 94.274269 \nL 107.515433 96.127012 \nL 113.802082 98.677775 \nL 119.62394 101.69891 \nL 124.940164 104.98703 \nL 129.74239 108.374967 \nL 134.045217 111.735322 \nL 137.878064 114.978114 \nL 144.289537 120.903037 \nL 149.311277 125.944191 \nL 160.264671 137.296907 \nL 162.436178 139.145271 \nL 164.468073 140.519639 \nL 166.458553 141.469325 \nL 168.477726 142.028157 \nL 170.571104 142.218244 \nL 172.761697 142.053968 \nL 175.050693 141.546324 \nL 177.417011 140.707777 \nL 179.816109 139.557737 \nL 182.178817 138.128549 \nL 184.411272 136.471522 \nL 186.397296 134.661866 \nL 188.004794 132.800922 \nL 189.097363 131.013535 \nL 189.410834 130.190726 \nL 189.551271 129.438733 \nL 189.508593 128.774444 \nL 189.276117 128.213252 \nL 188.851107 127.768358 \nL 188.235161 127.450097 \nL 187.434421 127.2654 \nL 186.459551 127.217421 \nL 185.325477 127.305407 \nL 182.65762 127.867542 \nL 179.612392 128.877092 \nL 176.392297 130.224705 \nL 173.19241 131.790919 \nL 170.178136 133.467527 \nL 167.473171 135.170243 \nL 165.157558 136.841638 \nL 163.273028 138.447083 \nL 161.832035 139.967453 \nL 160.827497 141.391792 \nL 160.241427 142.711561 \nL 160.051654 143.916937 \nL 160.236484 144.994829 \nL 160.777561 145.928039 \nL 161.661198 146.695082 \nL 162.878507 147.270267 \nL 164.424491 147.623949 \nL 166.296208 147.722876 \nL 168.489949 147.530864 \nL 170.9973 147.010066 \nL 173.799935 146.123316 \nL 176.862991 144.838143 \nL 180.12709 143.133036 \nL 183.499546 141.006584 \nL 186.846033 138.489433 \nL 189.985228 135.658015 \nL 191.407713 134.164028 \nL 192.690245 132.646973 \nL 193.79948 131.133714 \nL 194.701694 129.654707 \nL 195.364121 128.243261 \nL 195.756483 126.934397 \nL 195.852731 125.763345 \nL 195.632816 124.763681 \nL 195.084386 123.965315 \nL 194.204193 123.392416 \nL 192.999048 123.061566 \nL 191.486165 122.980352 \nL 189.69276 123.146663 \nL 187.654927 123.548774 \nL 185.415845 124.166282 \nL 183.023493 124.971816 \nL 177.979574 127.016408 \nL 172.90816 129.413425 \nL 168.127606 131.926533 \nL 163.856898 134.392095 \nL 160.21432 136.724287 \nL 157.236254 138.89707 \nL 154.90311 140.918901 \nL 153.163536 142.811184 \nL 151.953066 144.594555 \nL 151.206731 146.282309 \nL 150.866649 147.878666 \nL 150.88599 149.379502 \nL 151.23058 150.773914 \nL 151.879073 152.045666 \nL 152.82235 153.174086 \nL 154.06252 154.134319 \nL 155.611725 154.896967 \nL 157.490752 155.427194 \nL 159.727313 155.683514 \nL 162.353698 155.616389 \nL 165.403325 155.167032 \nL 168.905468 154.266924 \nL 172.877273 152.839004 \nL 177.311934 150.801967 \nL 179.690147 149.530685 \nL 182.161932 148.079922 \nL 184.711351 146.443958 \nL 187.316879 144.620235 \nL 189.950544 142.610551 \nL 192.577094 140.422457 \nL 195.153343 138.070782 \nL 197.62777 135.57923 \nL 199.940602 132.981852 \nL 202.024494 130.324227 \nL 203.806083 127.664 \nL 205.208525 125.070481 \nL 206.155184 122.622894 \nL 206.574417 120.407008 \nL 206.405264 118.509983 \nL 205.603559 117.013627 \nL 204.147752 115.986598 \nL 202.043526 115.476551 \nL 199.326236 115.503596 \nL 196.060426 116.056433 \nL 192.336104 117.092302 \nL 188.262054 118.54109 \nL 183.957156 120.313141 \nL 179.541026 122.30932 \nL 170.807722 126.591306 \nL 159.128989 132.673666 \nL 150.030014 137.607648 \nL 145.412738 140.289292 \nL 141.791037 142.632775 \nL 138.981355 144.763842 \nL 136.801932 146.77566 \nL 135.089294 148.726017 \nL 133.70397 150.644361 \nL 131.99283 153.481207 \nL 128.869394 158.955225 \nL 127.042925 161.537201 \nL 125.6112 163.181524 \nL 123.951514 164.752835 \nL 122.012876 166.237965 \nL 119.740613 167.617942 \nL 117.075867 168.8644 \nL 113.95632 169.93473 \nL 110.318887 170.765559 \nL 108.287379 171.063652 \nL 106.105526 171.264353 \nL 103.768598 171.349849 \nL 101.27389 171.299169 \nL 98.621491 171.087849 \nL 95.815239 170.687674 \nL 92.863864 170.066544 \nL 89.782351 169.188565 \nL 86.593474 168.014446 \nL 83.329484 166.502401 \nL 80.033835 164.609677 \nL 76.762793 162.294905 \nL 73.586696 159.521472 \nL 70.59048 156.262022 \nL 67.873064 152.504053 \nL 65.545118 148.256361 \nL 63.724688 143.555818 \nL 62.530427 138.473414 \nL 62.072466 133.118258 \nL 62.441488 127.637878 \nL 63.697248 122.213283 \nL 65.858404 117.047986 \nL 68.895813 112.351215 \nL 72.731186 108.317293 \nL 77.242115 105.104548 \nL 82.273055 102.817819 \nL 87.650459 101.498276 \nL 93.199168 101.122578 \nL 98.757176 101.611056 \nL 104.186497 102.84262 \nL 109.379115 104.672663 \nL 114.258286 106.950392 \nL 118.776287 109.53286 \nL 122.909997 112.294415 \nL 126.65566 115.131497 \nL 130.023753 117.963651 \nL 133.03451 120.731911 \nL 135.714323 123.39576 \nL 140.201801 128.318898 \nL 143.734076 132.645763 \nL 147.751878 138.048173 \nL 151.732966 143.492846 \nL 153.473215 145.578119 \nL 155.198977 147.289242 \nL 156.998762 148.648138 \nL 158.945649 149.663841 \nL 161.100521 150.332924 \nL 163.513943 150.640106 \nL 166.226379 150.559108 \nL 169.266398 150.054138 \nL 172.646465 149.082547 \nL 176.355897 147.599582 \nL 180.350703 145.566482 \nL 184.540558 142.963191 \nL 186.66412 141.451006 \nL 188.774171 139.80685 \nL 190.840142 138.042596 \nL 192.826395 136.175578 \nL 194.69239 134.229322 \nL 196.393199 132.234093 \nL 197.880458 130.227101 \nL 199.103822 128.252202 \nL 200.012997 126.358982 \nL 200.560289 124.601072 \nL 200.703614 123.033635 \nL 200.409744 121.710089 \nL 199.657514 120.678284 \nL 198.440577 119.976484 \nL 196.769345 119.629682 \nL 194.671661 119.646802 \nL 192.192033 120.019346 \nL 189.389317 120.721847 \nL 186.333083 121.714139 \nL 183.099096 122.945238 \nL 176.403083 125.895 \nL 169.858002 129.13051 \nL 163.875483 132.314817 \nL 158.690791 135.262618 \nL 154.385798 137.920265 \nL 150.935666 140.314969 \nL 148.255102 142.506249 \nL 146.233434 144.55422 \nL 144.757109 146.504847 \nL 143.722228 148.386616 \nL 143.040361 150.212925 \nL 142.640246 151.986349 \nL 142.467242 153.702758 \nL 142.481707 155.354468 \nL 142.657025 156.932283 \nL 142.977704 158.426604 \nL 143.437768 159.82782 \nL 144.039516 161.126167 \nL 144.792704 162.31126 \nL 145.7141 163.371342 \nL 146.827385 164.292313 \nL 148.16335 165.056508 \nL 149.760282 165.641183 \nL 151.664457 166.016653 \nL 153.930534 166.143947 \nL 156.621568 165.971967 \nL 159.808146 165.434111 \nL 163.565847 164.444559 \nL 167.969735 162.894838 \nL 173.083915 160.652002 \nL 175.920135 159.222904 \nL 178.943317 157.561223 \nL 182.148415 155.646125 \nL 185.524047 153.457786 \nL 189.050688 150.97888 \nL 192.698616 148.196618 \nL 196.425637 145.105422 \nL 200.174743 141.710257 \nL 203.87192 138.030649 \nL 207.424415 134.105163 \nL 210.719994 129.996015 \nL 213.627776 125.79313 \nL 216.001437 121.616644 \nL 217.685509 117.616508 \nL 218.525343 113.967669 \nL 218.380798 110.859408 \nL 217.142905 108.478239 \nL 214.751379 106.985258 \nL 211.209918 106.49091 \nL 206.595218 107.032466 \nL 201.056145 108.560516 \nL 194.801418 110.93993 \nL 188.077154 113.967052 \nL 181.138837 117.399944 \nL 150.018396 133.477854 \nL 140.923756 137.61226 \nL 133.763771 140.509865 \nL 116.416777 147.092216 \nL 109.093529 150.377786 \nL 107.034253 151.050564 \nL 104.880724 151.529729 \nL 102.612348 151.766161 \nL 100.230993 151.708416 \nL 97.762013 151.304634 \nL 95.256044 150.505967 \nL 94.01236 149.945434 \nL 92.790679 149.272186 \nL 91.604954 148.483903 \nL 90.4707 147.579992 \nL 89.404792 146.561958 \nL 88.42518 145.433806 \nL 87.550503 144.2024 \nL 86.799594 142.877775 \nL 86.190868 141.473367 \nL 85.741653 140.006098 \nL 85.467429 138.496297 \nL 85.381059 136.96741 \nL 85.492037 135.445491 \nL 85.805839 133.958456 \nL 86.323385 132.53514 \nL 87.040735 131.204197 \nL 87.948998 129.992889 \nL 89.034518 128.925918 \nL 90.27932 128.024329 \nL 91.661785 127.304608 \nL 93.157516 126.778067 \nL 94.74032 126.450562 \nL 96.383211 126.322493 \nL 98.059404 126.389176 \nL 99.743187 126.64146 \nL 101.410649 127.066504 \nL 103.040235 127.648695 \nL 104.613104 128.370562 \nL 106.113313 129.213667 \nL 107.527844 130.159374 \nL 108.846497 131.189494 \nL 111.168195 133.435314 \nL 113.04405 135.829904 \nL 114.467189 138.277038 \nL 115.448418 140.704946 \nL 116.007864 143.062562 \nL 116.168589 145.314531 \nL 115.952204 147.436233 \nL 115.376233 149.409296 \nL 114.452885 151.217771 \nL 113.189018 152.844823 \nL 111.587078 154.269858 \nL 109.647019 155.465846 \nL 107.36925 156.396833 \nL 104.758852 157.015686 \nL 101.831261 157.262372 \nL 100.257974 157.223684 \nL 98.619728 157.063388 \nL 96.924972 156.770469 \nL 95.184488 156.333484 \nL 93.411744 155.740857 \nL 91.623188 154.981305 \nL 89.838535 154.044365 \nL 88.080953 152.921097 \nL 86.377118 151.604906 \nL 84.7571 150.092501 \nL 83.254024 148.384985 \nL 81.903451 146.488964 \nL 80.742428 144.417643 \nL 79.808214 142.191761 \nL 79.136667 139.840244 \nL 78.760368 137.400386 \nL 78.70659 134.917448 \nL 78.995252 132.443539 \nL 79.637096 130.035714 \nL 80.632279 127.753359 \nL 81.969601 125.655054 \nL 83.626512 123.795141 \nL 85.569977 122.220361 \nL 87.758137 120.967043 \nL 90.14259 120.059019 \nL 92.671094 119.506687 \nL 95.290358 119.307155 \nL 97.948656 119.445448 \nL 100.598039 119.896597 \nL 103.195978 120.628162 \nL 105.706422 121.602986 \nL 108.10024 122.781824 \nL 110.355186 124.125589 \nL 112.455484 125.597144 \nL 114.391142 127.162543 \nL 116.15714 128.791782 \nL 117.752555 130.459136 \nL 119.179714 132.143136 \nL 120.44341 133.82634 \nL 122.507797 137.138358 \nL 124.009229 140.320255 \nL 125.016012 143.333509 \nL 125.591938 146.163423 \nL 125.790993 148.809621 \nL 125.654831 151.279369 \nL 125.211997 153.583064 \nL 124.478153 155.731198 \nL 123.456814 157.732178 \nL 122.140301 159.590602 \nL 120.510792 161.305549 \nL 118.541515 162.868621 \nL 116.198245 164.2614 \nL 113.4415 165.45209 \nL 110.229991 166.391049 \nL 108.44162 166.744369 \nL 106.526224 167.005143 \nL 104.481168 167.159467 \nL 102.305429 167.19112 \nL 100.000162 167.081378 \nL 97.569392 166.808893 \nL 95.020829 166.349649 \nL 92.366789 165.677096 \nL 89.625253 164.762478 \nL 86.820968 163.575488 \nL 83.986599 162.085309 \nL 81.163768 160.262184 \nL 78.403878 158.079567 \nL 75.768513 155.516969 \nL 73.329152 152.563428 \nL 71.16596 149.221558 \nL 69.365337 145.511822 \nL 68.016059 141.476586 \nL 67.203921 137.183215 \nL 67.005149 132.725383 \nL 67.479036 128.221651 \nL 68.660743 123.810676 \nL 70.555352 119.642779 \nL 73.134415 115.868466 \nL 76.33594 112.625124 \nL 80.068176 110.024018 \nL 84.216881 108.139782 \nL 88.654975 107.004369 \nL 93.252973 106.606446 \nL 97.888604 106.896125 \nL 102.454296 107.793714 \nL 106.861862 109.200629 \nL 111.044368 111.010399 \nL 114.955618 113.11815 \nL 118.568031 115.427681 \nL 121.869604 117.855749 \nL 124.860632 120.333978 \nL 127.550577 122.808812 \nL 129.955346 125.240273 \nL 132.09504 127.600035 \nL 135.670513 132.036543 \nL 138.465257 136.046011 \nL 140.660829 139.623177 \nL 143.178909 144.239397 \nL 146.344964 150.244266 \nL 147.524866 152.147703 \nL 148.762587 153.797598 \nL 150.116605 155.203279 \nL 151.640453 156.365208 \nL 153.385456 157.274564 \nL 155.402759 157.912558 \nL 157.744488 158.24944 \nL 160.463838 158.24325 \nL 163.613647 157.838494 \nL 167.242782 156.965178 \nL 171.389372 155.539097 \nL 176.069514 153.464884 \nL 178.604538 152.153768 \nL 181.259865 150.644381 \nL 184.02233 148.926841 \nL 186.872771 146.993965 \nL 189.784865 144.842623 \nL 192.723947 142.475367 \nL 195.645914 139.902371 \nL 198.496326 137.14354 \nL 201.20994 134.230724 \nL 203.710895 131.209727 \nL 205.913839 128.141831 \nL 207.726299 125.104297 \nL 209.052567 122.189351 \nL 209.799224 119.501068 \nL 209.882192 117.149743 \nL 209.234887 115.243654 \nL 207.816611 113.878724 \nL 205.61991 113.127221 \nL 202.675457 113.027372 \nL 199.053067 113.576072 \nL 194.85803 114.726814 \nL 190.222865 116.393851 \nL 185.295678 118.462279 \nL 180.227076 120.802143 \nL 170.209843 125.790572 \nL 141.588306 140.651155 \nL 137.568255 142.950897 \nL 134.42871 144.999929 \nL 131.949221 146.916652 \nL 129.93624 148.770812 \nL 127.443196 151.499432 \nL 122.903988 156.753375 \nL 121.205813 158.389731 \nL 119.302799 159.9325 \nL 117.137442 161.353697 \nL 114.656148 162.618188 \nL 111.809307 163.680057 \nL 108.553404 164.477997 \nL 106.76125 164.753301 \nL 104.85589 164.929884 \nL 102.836373 164.993292 \nL 100.70376 164.9271 \nL 98.461676 164.712817 \nL 96.11695 164.329893 \nL 93.680356 163.755833 \nL 91.167434 162.966488 \nL 88.599352 161.936597 \nL 86.003795 160.640633 \nL 83.415766 159.054029 \nL 80.878214 157.154858 \nL 78.442356 154.926009 \nL 76.167479 152.357846 \nL 74.120072 149.451271 \nL 72.372055 146.220998 \nL 70.997954 142.698703 \nL 70.070998 138.935584 \nL 69.658193 135.003701 \nL 69.814739 130.995498 \nL 70.578316 127.020928 \nL 71.964038 123.201956 \nL 73.960917 119.664542 \nL 76.530613 116.528928 \nL 79.608947 113.899428 \nL 83.110186 111.855257 \nL 86.933571 110.444017 \nL 90.971128 109.678823 \nL 95.115585 109.539494 \nL 99.26734 109.977335 \nL 103.339642 110.922446 \nL 107.261692 112.292114 \nL 110.97972 113.998956 \nL 114.456414 115.957758 \nL 117.669218 118.090501 \nL 120.608028 120.329402 \nL 123.272685 122.61824 \nL 125.670575 124.91235 \nL 127.814502 127.177714 \nL 129.720911 129.389569 \nL 132.896873 133.590557 \nL 135.356096 137.443955 \nL 137.252328 140.936574 \nL 138.723674 144.08508 \nL 140.386717 148.227831 \nL 143.567277 156.580535 \nL 144.382826 158.174423 \nL 145.290033 159.594179 \nL 146.325428 160.841874 \nL 147.526239 161.91376 \nL 148.932231 162.799754 \nL 150.587264 163.482562 \nL 152.540542 163.936376 \nL 154.847457 164.125046 \nL 157.569758 163.999742 \nL 160.774619 163.496146 \nL 164.531806 162.53146 \nL 168.907715 161.001934 \nL 173.954438 158.782425 \nL 176.737367 157.369868 \nL 179.691238 155.73074 \nL 182.808546 153.846892 \nL 186.075358 151.701725 \nL 189.469647 149.281713 \nL 192.959414 146.57841 \nL 196.500705 143.591001 \nL 200.035648 140.329412 \nL 203.490722 136.817923 \nL 206.775616 133.099021 \nL 209.783112 129.237186 \nL 212.390562 125.32186 \nL 214.463568 121.468748 \nL 215.862437 117.818259 \nL 216.451752 114.529879 \nL 216.112863 111.771566 \nL 214.75839 109.703936 \nL 212.346806 108.460509 \nL 208.894279 108.126882 \nL 204.480645 108.723261 \nL 199.246875 110.195399 \nL 193.383191 112.417701 \nL 187.10936 115.209276 \nL 180.651111 118.359723 \nL 162.084199 128.003756 \nL 151.594839 133.309168 \nL 143.017791 137.338202 \nL 133.416612 141.461005 \nL 125.078565 145.020481 \nL 120.856011 147.15162 \nL 117.510685 149.130565 \nL 113.506862 151.558898 \nL 111.46165 152.624393 \nL 109.292396 153.537367 \nL 106.953802 154.249233 \nL 104.420091 154.704979 \nL 101.686166 154.842922 \nL 98.770718 154.595094 \nL 97.258402 154.304045 \nL 95.720926 153.889453 \nL 94.169558 153.342533 \nL 92.618031 152.655145 \nL 91.082646 151.820199 \nL 89.582311 150.832196 \nL 88.138486 149.6878 \nL 86.774994 148.386542 \nL 85.517661 146.931513 \nL 84.393779 145.330085 \nL 83.431368 143.594584 \nL 82.658209 141.7428 \nL 82.100708 139.798299 \nL 81.782594 137.790417 \nL 81.723564 135.753865 \nL 81.937938 133.727884 \nL 82.433472 131.754946 \nL 83.210448 129.879009 \nL 84.261153 128.143481 \nL 85.569856 126.589003 \nL 87.113287 125.251275 \nL 88.861625 124.15917 \nL 90.779909 123.333282 \nL 92.829748 122.785081 \nL 94.971131 122.516793 \nL 97.164236 122.521896 \nL 99.371018 122.786207 \nL 101.556529 123.289348 \nL 103.689856 124.006476 \nL 105.744715 124.910004 \nL 107.699667 125.971209 \nL 109.538061 127.161635 \nL 111.24775 128.454164 \nL 112.820639 129.823809 \nL 114.252161 131.24819 \nL 115.540688 132.707761 \nL 116.686978 134.185843 \nL 118.564582 137.144377 \nL 119.919475 140.041166 \nL 120.795577 142.825098 \nL 121.237264 145.467511 \nL 121.283647 147.954353 \nL 120.965324 150.280036 \nL 120.302901 152.442744 \nL 119.3067 154.440885 \nL 117.977283 156.27019 \nL 116.306591 157.921124 \nL 114.27967 159.376286 \nL 111.877145 160.607519 \nL 109.078801 161.572603 \nL 107.525886 161.937384 \nL 105.868787 162.211516 \nL 104.107444 162.384081 \nL 102.243181 162.442591 \nL 100.279132 162.372942 \nL 98.220728 162.159391 \nL 96.076241 161.784656 \nL 93.857408 161.230083 \nL 91.58007 160.476017 \nL 89.26484 159.502341 \nL 86.937742 158.289264 \nL 84.63075 156.818436 \nL 82.382144 155.074364 \nL 80.236591 153.046183 \nL 78.244788 150.729744 \nL 76.462575 148.129937 \nL 74.949356 145.263054 \nL 73.765771 142.15899 \nL 72.970601 138.862858 \nL 72.616997 135.435698 \nL 72.748336 131.953776 \nL 73.39404 128.506224 \nL 74.56595 125.190828 \nL 76.255772 122.108145 \nL 78.43415 119.35448 \nL 81.051647 117.014494 \nL 84.041664 115.154533 \nL 87.324995 113.817633 \nL 90.815395 113.020997 \nL 94.425412 112.756217 \nL 98.071748 112.992081 \nL 101.679545 113.679334 \nL 105.185272 114.756526 \nL 108.538179 116.155966 \nL 111.70048 117.809134 \nL 114.646547 119.650914 \nL 117.361487 121.622553 \nL 119.839401 123.673357 \nL 122.08157 125.761266 \nL 124.094747 127.852661 \nL 125.889636 129.921661 \nL 127.479608 131.949098 \nL 130.105569 135.829687 \nL 132.098503 139.435057 \nL 133.580497 142.750813 \nL 134.660441 145.787249 \nL 135.430205 148.566495 \nL 136.161421 152.311164 \nL 136.543081 155.624932 \nL 136.708046 159.504359 \nL 136.616924 162.89729 \nL 136.330935 165.909446 \nL 135.849052 168.620101 \nL 135.33205 170.493901 \nL 134.642427 172.257848 \nL 133.727435 173.934416 \nL 132.514041 175.54505 \nL 131.491568 176.59195 \nL 130.255398 177.623031 \nL 128.759771 178.641269 \nL 126.949231 179.646549 \nL 124.756979 180.633479 \nL 122.1033 181.58792 \nL 118.894437 182.481576 \nL 115.0227 183.26365 \nL 110.369215 183.848311 \nL 107.710904 184.025848 \nL 104.811905 184.096392 \nL 101.659325 184.030049 \nL 98.243115 183.790017 \nL 94.557673 183.331468 \nL 90.603963 182.600458 \nL 86.392241 181.533028 \nL 81.945463 180.054749 \nL 77.303409 178.081072 \nL 72.527426 175.519009 \nL 67.705585 172.27082 \nL 62.957645 168.240541 \nL 58.43894 163.344176 \nL 54.341708 157.524156 \nL 50.892 150.76801 \nL 48.339998 143.129884 \nL 46.941873 134.751672 \nL 46.932785 125.878176 \nL 48.492934 116.859088 \nL 51.712192 108.130575 \nL 56.56193 100.172989 \nL 62.883553 93.448174 \nL 70.400386 88.328621 \nL 78.752895 85.037004 \nL 87.549026 83.613903 \nL 96.4164 83.923096 \nL 105.043199 85.690966 \nL 113.200129 88.565772 \nL 120.743179 92.178737 \nL 127.602403 96.192476 \nL 133.763977 100.330097 \nL 139.251603 104.385493 \nL 144.11087 108.219936 \nL 152.171451 114.939579 \nL 165.201517 125.941413 \nL 169.836332 129.494261 \nL 173.011216 131.614415 \nL 175.174814 132.809162 \nL 177.239821 133.657009 \nL 177.962769 133.952616 \nL 177.942697 133.991214 \nL 177.560265 134.208486 \nL 175.946631 135.095505 \nL 174.908193 135.880082 \nL 174.224305 136.668896 \nL 174.064363 137.192747 \nL 174.198583 137.47376 \nL 174.54737 137.630466 \nL 175.090262 137.644649 \nL 176.051916 137.427058 \nL 177.168253 136.949502 \nL 178.275315 136.264044 \nL 179.185975 135.469209 \nL 179.719164 134.701571 \nL 179.787809 134.234501 \nL 179.658998 134.007249 \nL 179.390958 133.862814 \nL 178.748922 133.818602 \nL 177.873746 133.98591 \nL 176.496666 134.504385 \nL 175.103059 135.270247 \nL 173.926456 136.155993 \nL 173.149292 137.029757 \nL 172.898589 137.604491 \nL 172.95743 138.060752 \nL 173.169099 138.280226 \nL 173.732573 138.458831 \nL 174.560566 138.435435 \nL 175.60121 138.196404 \nL 177.193435 137.546893 \nL 178.812803 136.575511 \nL 179.883841 135.711581 \nL 180.698301 134.820685 \nL 181.146767 134.000689 \nL 181.20134 133.543417 \nL 181.044696 133.189394 \nL 180.676144 132.960037 \nL 180.107425 132.869367 \nL 178.934194 133.002781 \nL 177.489123 133.440042 \nL 175.92622 134.126457 \nL 174.405577 134.985371 \nL 173.070769 135.933377 \nL 172.034436 136.891293 \nL 171.373149 137.78912 \nL 171.129257 138.566367 \nL 171.206133 138.991224 \nL 171.472775 139.324839 \nL 171.922845 139.554293 \nL 172.546011 139.667994 \nL 173.772628 139.600485 \nL 175.287629 139.228117 \nL 176.997037 138.546879 \nL 178.776723 137.580034 \nL 180.471753 136.386813 \nL 181.903011 135.067917 \nL 182.618377 134.18657 \nL 183.082645 133.359253 \nL 183.254303 132.635682 \nL 183.106283 132.062359 \nL 182.6303 131.677569 \nL 181.839526 131.50692 \nL 180.768776 131.560408 \nL 179.471963 131.831737 \nL 177.25394 132.598379 \nL 174.936414 133.694048 \nL 172.762637 134.986852 \nL 170.929 136.352809 \nL 169.570069 137.68949 \nL 168.967304 138.523763 \nL 168.620568 139.288898 \nL 168.533163 139.966807 \nL 168.703024 140.54036 \nL 169.124027 140.992821 \nL 169.786743 141.307641 \nL 170.678601 141.468599 \nL 171.783463 141.460318 \nL 173.080681 141.269157 \nL 174.543707 140.884534 \nL 176.138415 140.300669 \nL 177.821312 139.518782 \nL 179.538014 138.549626 \nL 181.222396 137.416125 \nL 182.796987 136.155674 \nL 184.175282 134.821424 \nL 185.266476 133.481722 \nL 185.982907 132.216832 \nL 186.249789 131.112444 \nL 186.197477 130.64642 \nL 186.016051 130.250242 \nL 185.704451 129.93169 \nL 185.26416 129.696944 \nL 184.699269 129.550331 \nL 183.224844 129.528666 \nL 181.362393 129.860413 \nL 179.222426 130.509252 \nL 176.931285 131.416974 \nL 174.616412 132.5146 \nL 171.347345 134.368358 \nL 169.433838 135.657686 \nL 167.805596 136.937775 \nL 166.499418 138.176689 \nL 165.533855 139.350753 \nL 164.914066 140.441323 \nL 164.636419 141.431935 \nL 164.692292 142.306217 \nL 165.070816 143.046594 \nL 165.760529 143.633635 \nL 166.749984 144.045919 \nL 168.027392 144.260286 \nL 169.579379 144.252511 \nL 171.388891 143.998417 \nL 173.432291 143.475644 \nL 175.675723 142.666251 \nL 178.070935 141.560358 \nL 180.550932 140.160986 \nL 183.026196 138.489892 \nL 185.382611 136.593858 \nL 187.482707 134.550033 \nL 189.172008 132.468293 \nL 189.812747 131.455807 \nL 190.292061 130.487811 \nL 190.592795 129.584362 \nL 190.700325 128.76539 \nL 190.603379 128.049868 \nL 190.294783 127.454918 \nL 189.772102 126.99492 \nL 189.038077 126.680739 \nL 188.100818 126.519055 \nL 186.97372 126.511997 \nL 185.675072 126.657022 \nL 182.656547 127.371425 \nL 179.258824 128.56376 \nL 175.713315 130.100258 \nL 172.235677 131.842364 \nL 169.001525 133.671222 \nL 166.135327 135.500016 \nL 163.711179 137.274494 \nL 161.76128 138.965868 \nL 160.287567 140.561167 \nL 159.273197 142.054557 \nL 158.692113 143.441138 \nL 158.516119 144.713338 \nL 158.719564 145.859214 \nL 159.282033 146.86195 \nL 160.189519 147.699896 \nL 161.434375 148.346727 \nL 163.014339 148.771638 \nL 164.930649 148.939507 \nL 167.185239 148.811238 \nL 169.776796 148.344653 \nL 172.695432 147.496333 \nL 175.915689 146.225197 \nL 179.38774 144.498533 \nL 183.027052 142.301389 \nL 186.703577 139.649787 \nL 190.232847 136.607208 \nL 191.868837 134.976395 \nL 193.373202 133.301698 \nL 194.7083 131.611186 \nL 195.835033 129.937737 \nL 196.714241 128.318423 \nL 197.308418 126.793427 \nL 197.583739 125.404447 \nL 197.51228 124.192608 \nL 197.074235 123.195989 \nL 196.259915 122.44696 \nL 195.071317 121.969635 \nL 193.522974 121.777723 \nL 191.641904 121.873142 \nL 189.46661 122.245663 \nL 187.04512 122.873696 \nL 184.432294 123.726165 \nL 178.867194 125.949452 \nL 173.22706 128.588956 \nL 167.891913 131.353511 \nL 163.121327 134.043251 \nL 159.051524 136.55827 \nL 155.719212 138.875018 \nL 153.094429 141.012866 \nL 151.11055 143.006109 \nL 149.686736 144.886755 \nL 148.742566 146.676856 \nL 148.206457 148.387019 \nL 148.019781 150.017936 \nL 148.138277 151.562842 \nL 148.531932 153.009705 \nL 149.184102 154.34275 \nL 150.090375 155.543143 \nL 151.257432 156.58897 \nL 152.701998 157.454577 \nL 154.449879 158.10941 \nL 156.534941 158.516436 \nL 158.997754 158.630243 \nL 161.883504 158.395014 \nL 165.238517 157.742656 \nL 169.104487 156.59174 \nL 173.509151 154.848387 \nL 175.914916 153.722865 \nL 178.451817 152.411087 \nL 181.111838 150.901096 \nL 183.882098 149.182517 \nL 186.74375 147.247601 \nL 189.670811 145.092597 \nL 192.628951 142.719373 \nL 195.574348 140.137363 \nL 198.452754 137.365722 \nL 201.198964 134.435571 \nL 203.736923 131.392084 \nL 205.980779 128.296103 \nL 207.837192 125.224772 \nL 209.209155 122.270629 \nL 210.001492 119.538628 \nL 210.127966 117.140573 \nL 209.519539 115.18689 \nL 208.13296 113.776166 \nL 205.958403 112.983604 \nL 203.024662 112.850245 \nL 199.400451 113.375275 \nL 195.190944 114.513553 \nL 190.529578 116.179484 \nL 185.566276 118.25711 \nL 180.454079 120.61442 \nL 170.337952 125.651687 \nL 141.402092 140.632743 \nL 137.337685 142.932399 \nL 134.162641 144.975899 \nL 131.653528 146.884323 \nL 129.614317 148.728946 \nL 127.08407 151.442261 \nL 122.461977 156.659781 \nL 120.730665 158.279844 \nL 118.791156 159.802456 \nL 116.586092 161.198129 \nL 114.062531 162.429846 \nL 111.172225 163.449376 \nL 107.874055 164.192668 \nL 106.062349 164.435073 \nL 104.139317 164.574507 \nL 102.104799 164.596129 \nL 99.960805 164.483166 \nL 97.712079 164.21686 \nL 95.366753 163.776501 \nL 92.937089 163.139622 \nL 90.440284 162.282355 \nL 87.899315 161.180076 \nL 85.343754 159.808335 \nL 82.810497 158.144211 \nL 80.344246 156.168084 \nL 77.997666 153.865904 \nL 75.830955 151.231883 \nL 73.910722 148.271519 \nL 72.30793 145.004718 \nL 71.094842 141.468641 \nL 70.340899 137.719807 \nL 70.107781 133.834807 \nL 70.443939 129.90914 \nL 71.379281 126.05362 \nL 72.920731 122.388301 \nL 75.049479 119.034251 \nL 77.720576 116.103978 \nL 80.865209 113.691864 \nL 84.395487 111.866068 \nL 88.211138 110.663269 \nL 92.207079 110.087025 \nL 96.280821 110.109942 \nL 100.338711 110.678996 \nL 104.300377 111.722892 \nL 108.101183 113.160083 \nL 111.692834 114.906268 \nL 115.042546 116.880512 \nL 118.131262 119.00957 \nL 120.951377 121.230383 \nL 123.504367 123.491037 \nL 125.798534 125.75053 \nL 127.847045 127.977805 \nL 129.666289 130.150379 \nL 132.69109 134.275404 \nL 135.025828 138.062189 \nL 136.818241 141.500563 \nL 138.200273 144.607646 \nL 139.744057 148.710819 \nL 142.925301 157.905154 \nL 144.059434 160.155682 \nL 144.941197 161.45782 \nL 145.961903 162.60103 \nL 147.156699 163.57906 \nL 148.564462 164.379698 \nL 150.229175 164.983736 \nL 152.201082 165.363499 \nL 154.537492 165.480792 \nL 157.302968 165.284316 \nL 160.568408 164.706512 \nL 164.408201 163.660178 \nL 168.894122 162.035504 \nL 174.083919 159.699141 \nL 176.952392 158.216796 \nL 180.001752 156.4983 \nL 183.224652 154.523863 \nL 186.606931 152.27523 \nL 190.125784 149.73731 \nL 193.747708 146.900363 \nL 197.426297 143.7628 \nL 201.100027 140.334637 \nL 204.690322 136.641487 \nL 208.10021 132.728945 \nL 211.214157 128.666802 \nL 213.89964 124.55247 \nL 216.011255 120.512449 \nL 217.397965 116.700532 \nL 217.913906 113.291341 \nL 217.432526 110.468049 \nL 215.862964 108.404167 \nL 213.166308 107.240894 \nL 209.368479 107.063551 \nL 204.56601 107.882509 \nL 198.921808 109.624444 \nL 192.650186 112.138096 \nL 185.993476 115.214767 \nL 179.195129 118.619179 \nL 154.332862 131.550786 \nL 144.653933 136.165852 \nL 136.949006 139.478118 \nL 128.453612 142.778852 \nL 121.035369 145.694868 \nL 117.144864 147.497625 \nL 109.877655 151.077552 \nL 107.779272 151.833315 \nL 105.561992 152.392531 \nL 103.203479 152.70378 \nL 100.703475 152.711905 \nL 98.085519 152.35952 \nL 95.399676 151.590104 \nL 94.054919 151.032909 \nL 92.725416 150.353651 \nL 91.425968 149.548553 \nL 90.173269 148.615548 \nL 88.985737 147.55474 \nL 87.883248 146.368868 \nL 86.886751 145.06379 \nL 86.017743 143.648913 \nL 85.297617 142.137536 \nL 84.746888 140.547059 \nL 84.384317 138.898998 \nL 84.225985 137.218774 \nL 84.284362 135.535191 \nL 84.567456 133.879669 \nL 85.078115 132.285168 \nL 85.813548 130.784888 \nL 86.765125 129.410844 \nL 87.918529 128.192379 \nL 89.254201 127.154783 \nL 90.748126 126.318145 \nL 92.372834 125.69649 \nL 94.098591 125.29736 \nL 95.89462 125.121783 \nL 97.730318 125.164691 \nL 99.576329 125.415617 \nL 101.405433 125.859694 \nL 103.193215 126.478768 \nL 104.918502 127.25254 \nL 106.563563 128.159638 \nL 108.114126 129.178583 \nL 109.559227 130.288549 \nL 110.89095 131.469953 \nL 112.104086 132.704857 \nL 114.165009 135.272882 \nL 115.739875 137.887488 \nL 116.845899 140.472681 \nL 117.509893 142.976578 \nL 117.761002 145.365299 \nL 117.625812 147.617081 \nL 117.125413 149.717277 \nL 116.274025 151.654161 \nL 115.078805 153.415498 \nL 113.540612 154.985511 \nL 111.655648 156.342132 \nL 109.418059 157.454269 \nL 106.823687 158.279084 \nL 103.87533 158.75946 \nL 102.272904 158.848225 \nL 100.589918 158.822048 \nL 98.832242 158.669154 \nL 97.007931 158.376856 \nL 95.127637 157.931743 \nL 93.205031 157.319988 \nL 91.257221 156.52778 \nL 89.305113 155.541912 \nL 87.373724 154.350551 \nL 85.492324 152.944206 \nL 83.694423 151.316872 \nL 82.017451 149.467353 \nL 80.502132 147.400675 \nL 79.191446 145.129517 \nL 78.129141 142.675491 \nL 77.35783 140.070114 \nL 76.916685 137.355236 \nL 76.838888 134.582718 \nL 77.149053 131.813192 \nL 77.86084 129.113781 \nL 78.975115 126.554886 \nL 80.478908 124.206186 \nL 82.345409 122.132225 \nL 84.535055 120.388153 \nL 86.997701 119.016051 \nL 89.675584 118.042392 \nL 92.506788 117.476935 \nL 95.428787 117.313126 \nL 98.381681 117.529898 \nL 101.310842 118.094491 \nL 104.168796 118.965868 \nL 106.916285 120.098252 \nL 109.522598 121.444386 \nL 111.965297 122.958249 \nL 114.229505 124.59707 \nL 116.306935 126.322634 \nL 118.19481 128.101966 \nL 119.894767 129.907495 \nL 121.411819 131.716849 \nL 122.753448 133.5124 \nL 124.948049 137.011832 \nL 126.560844 140.337187 \nL 127.675831 143.458484 \nL 128.369494 146.369719 \nL 128.706009 149.078509 \nL 128.735331 151.599261 \nL 128.493015 153.948895 \nL 128.000911 156.144217 \nL 127.268239 158.200289 \nL 126.292668 160.129334 \nL 125.061261 161.939802 \nL 123.551236 163.635368 \nL 121.730587 165.213543 \nL 119.558747 166.663705 \nL 116.987584 167.964183 \nL 113.963188 169.078121 \nL 110.429247 169.947744 \nL 108.454351 170.265339 \nL 106.333102 170.486793 \nL 104.061195 170.59535 \nL 101.636198 170.571247 \nL 99.058285 170.39143 \nL 96.331123 170.029309 \nL 93.462946 169.454646 \nL 90.467817 168.633622 \nL 87.367057 167.529227 \nL 84.190814 166.102055 \nL 80.979667 164.311691 \nL 77.786146 162.118857 \nL 74.675926 159.488453 \nL 71.728407 156.39364 \nL 69.03625 152.820935 \nL 66.703489 148.776121 \nL 64.841734 144.290504 \nL 63.564177 139.426662 \nL 62.977399 134.282476 \nL 63.171437 128.991996 \nL 64.209115 123.721741 \nL 66.116251 118.661476 \nL 68.874694 114.009621 \nL 72.419974 109.954663 \nL 76.644694 106.655445 \nL 81.407588 104.224015 \nL 86.546819 102.714457 \nL 91.89514 102.11999 \nL 97.294181 102.378597 \nL 102.605619 103.385411 \nL 107.718016 105.008828 \nL 112.549242 107.106905 \nL 117.045298 109.541376 \nL 121.176758 112.187702 \nL 124.934097 114.940827 \nL 128.322842 117.717148 \nL 131.359187 120.453773 \nL 134.066353 123.106086 \nL 138.604821 128.0515 \nL 142.173669 132.441312 \nL 145.003543 136.267581 \nL 151.806423 145.85992 \nL 153.44896 147.705577 \nL 155.146816 149.21028 \nL 156.975246 150.385518 \nL 158.998149 151.230584 \nL 161.270504 151.732797 \nL 163.839357 151.86785 \nL 166.743039 151.600462 \nL 170.00817 150.885804 \nL 173.643952 149.672433 \nL 177.633197 147.907921 \nL 181.919749 145.548672 \nL 184.142452 144.138532 \nL 186.392616 142.575623 \nL 188.644937 140.865137 \nL 190.868622 139.017019 \nL 193.027119 137.046966 \nL 195.078096 134.977392 \nL 196.973778 132.838223 \nL 198.661776 130.667384 \nL 200.086453 128.510805 \nL 201.190989 126.421729 \nL 201.920085 124.459155 \nL 202.223304 122.685283 \nL 202.058818 121.161974 \nL 201.397296 119.94638 \nL 200.225448 119.086117 \nL 198.548739 118.614605 \nL 196.392754 118.547215 \nL 193.802831 118.879062 \nL 190.841804 119.584876 \nL 187.586025 120.621232 \nL 184.120152 121.930844 \nL 180.53135 123.448299 \nL 173.313688 126.841221 \nL 166.494718 130.332035 \nL 160.44046 133.615712 \nL 155.319583 136.565017 \nL 151.150058 139.18081 \nL 147.857174 141.527366 \nL 145.321625 143.683231 \nL 143.411797 145.714859 \nL 142.002364 147.667789 \nL 140.983348 149.567645 \nL 140.263265 151.424973 \nL 139.768975 153.240645 \nL 139.330976 155.87588 \nL 139.142454 158.385606 \nL 139.142967 161.502848 \nL 139.347666 164.330979 \nL 139.732351 166.855504 \nL 140.322805 169.069456 \nL 140.940073 170.520573 \nL 141.756102 171.782939 \nL 142.440987 172.512027 \nL 143.266096 173.142682 \nL 144.260937 173.664309 \nL 145.461396 174.062234 \nL 146.910928 174.316355 \nL 148.661894 174.399302 \nL 150.776934 174.273984 \nL 153.330194 173.890312 \nL 156.408038 173.180934 \nL 160.108551 172.055884 \nL 164.538597 170.396316 \nL 169.806321 168.04816 \nL 172.784889 166.556941 \nL 176.005663 164.817933 \nL 179.473472 162.801239 \nL 183.187619 160.475653 \nL 187.139738 157.809891 \nL 191.311161 154.77448 \nL 195.669743 151.344525 \nL 200.166215 147.503572 \nL 204.730166 143.248743 \nL 209.26596 138.597238 \nL 213.649106 133.594074 \nL 217.723885 128.320598 \nL 221.303405 122.902619 \nL 224.173595 117.51642 \nL 226.102776 112.389823 \nL 226.858336 107.794937 \nL 226.230911 104.029169 \nL 224.064791 101.382744 \nL 220.290193 100.094315 \nL 214.950127 100.301999 \nL 208.212702 102.002656 \nL 200.361413 105.034609 \nL 191.761669 109.094552 \nL 182.810314 113.788145 \nL 157.239194 127.800764 \nL 149.876697 131.550545 \nL 143.250923 134.648865 \nL 137.359446 137.109337 \nL 132.163658 138.993688 \nL 127.605344 140.386834 \nL 123.618461 141.378821 \nL 120.136559 142.053799 \nL 117.096947 142.484597 \nL 112.123266 142.84035 \nL 108.318284 142.784024 \nL 105.396606 142.508869 \nL 103.148894 142.118219 \nL 100.721868 141.425902 \nL 99.137563 140.680541 \nL 98.186663 139.936032 \nL 97.734807 139.243137 \nL 97.683864 138.655573 \nL 97.948291 138.224671 \nL 98.44311 137.990827 \nL 99.080611 137.976223 \nL 99.772779 138.181107 \nL 100.436499 138.584153 \nL 100.99913 139.146163 \nL 101.402773 139.815556 \nL 101.606719 140.534097 \nL 101.588223 141.241821 \nL 101.342231 141.880751 \nL 100.880696 142.397563 \nL 100.231932 142.74575 \nL 99.440038 142.887909 \nL 98.564067 142.798662 \nL 97.676218 142.468367 \nL 96.858177 141.907405 \nL 96.194778 141.149933 \nL 95.764794 140.255605 \nL 95.629684 139.307292 \nL 95.721121 138.693478 \nL 95.959812 138.129988 \nL 96.338698 137.64598 \nL 96.842987 137.267086 \nL 97.450986 137.013518 \nL 98.135502 136.898675 \nL 99.237722 136.997165 \nL 100.333097 137.407277 \nL 101.318026 138.084632 \nL 102.105107 138.961924 \nL 102.629108 139.959513 \nL 102.848756 140.994247 \nL 102.745861 141.985412 \nL 102.49877 142.584637 \nL 102.115119 143.110482 \nL 101.604562 143.543961 \nL 100.980601 143.867776 \nL 100.260697 144.066594 \nL 99.466401 144.127482 \nL 98.623451 144.04058 \nL 97.761657 143.799964 \nL 96.914553 143.404745 \nL 96.118581 142.860219 \nL 95.411801 142.179023 \nL 94.831988 141.381979 \nL 94.414226 140.498432 \nL 94.188127 139.565764 \nL 94.174967 138.627915 \nL 94.385147 137.732833 \nL 94.816432 136.929026 \nL 95.453306 136.261579 \nL 96.2677 135.76827 \nL 97.221035 135.476305 \nL 98.267301 135.400335 \nL 99.356685 135.541907 \nL 100.439216 135.890347 \nL 101.467953 136.424818 \nL 102.40137 137.11697 \nL 103.204822 137.93378 \nL 103.851134 138.840077 \nL 104.320505 139.800555 \nL 104.599943 140.781145 \nL 104.68248 141.749766 \nL 104.566375 142.676615 \nL 104.254446 143.53406 \nL 103.753654 144.296382 \nL 103.074981 144.939442 \nL 102.233606 145.44045 \nL 101.249359 145.777946 \nL 100.147359 145.932105 \nL 98.958734 145.885467 \nL 97.721226 145.624173 \nL 96.479472 145.139754 \nL 95.284663 144.43138 \nL 94.193297 143.508434 \nL 93.26475 142.393009 \nL 92.557602 141.12183 \nL 92.124743 139.746904 \nL 92.007815 138.334223 \nL 92.231697 136.960109 \nL 92.800152 135.70516 \nL 93.693599 134.646558 \nL 94.869787 133.849898 \nL 96.26743 133.36228 \nL 97.812222 133.207967 \nL 99.424072 133.387435 \nL 101.024228 133.879735 \nL 102.541123 134.647235 \nL 103.914309 135.641513 \nL 105.096268 136.809085 \nL 106.052463 138.096137 \nL 106.760097 139.451773 \nL 107.206183 140.829795 \nL 107.385429 142.189223 \nL 107.298304 143.493962 \nL 106.949535 144.711858 \nL 106.347164 145.813528 \nL 105.502235 146.771155 \nL 104.429081 147.5574 \nL 103.146225 148.14463 \nL 101.677795 148.504597 \nL 100.055352 148.608743 \nL 98.319941 148.42936 \nL 96.524046 147.94181 \nL 94.733009 147.127986 \nL 93.025279 145.981048 \nL 91.490745 144.511146 \nL 90.226442 142.751397 \nL 89.726156 141.780708 \nL 89.32919 140.762764 \nL 89.045923 139.709875 \nL 88.885329 138.63609 \nL 88.854596 137.556976 \nL 88.95876 136.489282 \nL 89.20041 135.450529 \nL 89.579461 134.458494 \nL 90.093019 133.530651 \nL 90.735368 132.683575 \nL 91.498079 131.932373 \nL 92.370237 131.290149 \nL 93.338755 130.767561 \nL 94.38882 130.372499 \nL 95.504344 130.109889 \nL 96.668494 129.981652 \nL 97.864196 129.98681 \nL 99.074615 130.121708 \nL 100.283578 130.380336 \nL 102.637843 131.235421 \nL 104.822391 132.472837 \nL 106.757487 134.002676 \nL 108.388509 135.735604 \nL 109.682954 137.590357 \nL 110.625786 139.497512 \nL 111.214381 141.400201 \nL 111.453925 143.252879 \nL 111.353721 145.019013 \nL 110.924589 146.668339 \nL 110.177367 148.174145 \nL 109.122457 149.510706 \nL 107.770345 150.651019 \nL 106.133052 151.564889 \nL 104.226504 152.217454 \nL 102.073813 152.568337 \nL 99.709432 152.57179 \nL 97.183967 152.178294 \nL 94.569253 151.338297 \nL 93.257807 150.736929 \nL 91.962793 150.008844 \nL 90.700802 149.15135 \nL 89.490125 148.163614 \nL 88.350564 147.047139 \nL 87.303134 145.806247 \nL 86.369627 144.448562 \nL 85.57204 142.985408 \nL 84.931871 141.432116 \nL 84.469305 139.808154 \nL 84.202305 138.137047 \nL 84.145673 136.446029 \nL 84.310157 134.765421 \nL 84.70165 133.127705 \nL 85.320583 131.566333 \nL 86.161569 130.114357 \nL 87.213355 128.802945 \nL 88.459123 127.659918 \nL 89.877101 126.70845 \nL 91.441456 125.966027 \nL 93.123415 125.443794 \nL 94.892483 125.146292 \nL 96.717695 125.071653 \nL 98.568768 125.212154 \nL 100.417119 125.555096 \nL 102.236653 126.08384 \nL 104.004333 126.77899 \nL 105.700503 127.619501 \nL 107.309 128.583728 \nL 108.817083 129.650298 \nL 110.215232 130.798804 \nL 111.496836 132.010304 \nL 113.696301 134.5556 \nL 115.406465 137.172403 \nL 116.640695 139.777113 \nL 117.424339 142.311935 \nL 117.78676 144.738807 \nL 117.75581 147.03336 \nL 117.354417 149.179617 \nL 116.598816 151.165587 \nL 115.498072 152.979648 \nL 114.054591 154.607429 \nL 112.265527 156.028999 \nL 110.125092 157.216135 \nL 107.627961 158.129601 \nL 104.774065 158.716491 \nL 103.216327 158.866645 \nL 101.575195 158.908044 \nL 99.855438 158.829438 \nL 98.063793 158.61859 \nL 96.209366 158.262408 \nL 94.304047 157.747188 \nL 92.362942 157.058963 \nL 90.404772 156.183998 \nL 88.452223 155.10947 \nL 86.5322 153.824311 \nL 84.675913 152.320264 \nL 82.91874 150.593115 \nL 81.299793 148.64408 \nL 79.861115 146.481242 \nL 78.64645 144.120963 \nL 77.699565 141.589056 \nL 77.062148 138.921575 \nL 76.771361 136.164946 \nL 76.857235 133.375268 \nL 77.340102 130.616637 \nL 78.228402 127.958429 \nL 79.517132 125.471669 \nL 81.18722 123.224788 \nL 83.205987 121.279167 \nL 85.528737 119.685011 \nL 88.10133 118.478106 \nL 90.863421 117.677839 \nL 93.752055 117.286752 \nL 96.705138 117.291597 \nL 99.664477 117.665633 \nL 102.578114 118.371804 \nL 105.401871 119.366283 \nL 108.100069 120.601975 \nL 110.645585 122.031587 \nL 113.019347 123.610046 \nL 115.209487 125.296238 \nL 117.210298 127.05402 \nL 119.021118 128.852655 \nL 120.64525 130.666804 \nL 122.088972 132.476179 \nL 123.360669 134.26503 \nL 125.427745 137.737129 \nL 126.930837 141.024501 \nL 127.953468 144.103717 \nL 128.570201 146.97273 \nL 128.842603 149.641353 \nL 128.817814 152.125055 \nL 128.528637 154.441115 \nL 127.994372 156.606272 \nL 127.221925 158.635273 \nL 126.206877 160.539837 \nL 124.934391 162.327794 \nL 123.379926 164.002025 \nL 121.509824 165.559031 \nL 119.281976 166.986841 \nL 116.646863 168.261947 \nL 113.549487 169.344935 \nL 109.933012 170.174463 \nL 107.913375 170.467112 \nL 105.745317 170.659376 \nL 103.424894 170.733625 \nL 100.950223 170.669124 \nL 98.322258 170.44173 \nL 95.545735 170.023685 \nL 92.630308 169.383535 \nL 89.591869 168.486273 \nL 86.454036 167.293807 \nL 83.249767 165.765925 \nL 80.022971 163.861861 \nL 76.830003 161.542698 \nL 73.740722 158.774712 \nL 70.838863 155.533786 \nL 68.22123 151.810823 \nL 65.995301 147.617884 \nL 64.274821 142.994512 \nL 63.173102 138.01321 \nL 62.794186 132.782832 \nL 63.222437 127.448322 \nL 64.511793 122.18549 \nL 66.676431 117.190093 \nL 69.684856 112.661696 \nL 73.45908 108.784168 \nL 77.879759 105.706036 \nL 82.7968 103.524471 \nL 88.043668 102.276218 \nL 93.452782 101.93721 \nL 98.869258 102.430529 \nL 104.161041 103.640443 \nL 109.224448 105.429169 \nL 113.985428 107.653053 \nL 118.397491 110.175703 \nL 122.437632 112.876837 \nL 126.101441 115.656889 \nL 129.398288 118.438041 \nL 132.34709 121.162835 \nL 134.972868 123.79137 \nL 139.370847 128.667943 \nL 142.830899 132.976798 \nL 146.757461 138.394102 \nL 151.472393 145.033273 \nL 153.130183 146.990416 \nL 154.814871 148.597176 \nL 156.606595 149.869271 \nL 158.572802 150.810069 \nL 160.771067 151.410832 \nL 163.250553 151.65109 \nL 166.051775 151.499238 \nL 169.204291 150.91376 \nL 172.721834 149.845769 \nL 176.59436 148.243841 \nL 180.776627 146.062561 \nL 185.173415 143.276406 \nL 187.404691 141.658893 \nL 189.622735 139.900342 \nL 191.794359 138.013395 \nL 193.880705 136.016816 \nL 195.837403 133.936342 \nL 197.615128 131.805323 \nL 199.160678 129.664983 \nL 200.418641 127.564082 \nL 201.333736 125.557832 \nL 201.853749 123.705907 \nL 201.93303 122.069473 \nL 201.536227 120.707325 \nL 200.641965 119.671372 \nL 199.245937 119.00196 \nL 197.362958 118.723686 \nL 195.027499 118.84232 \nL 192.292455 119.343628 \nL 189.226129 120.194317 \nL 185.907731 121.345187 \nL 182.421968 122.736058 \nL 175.281617 125.977242 \nL 168.397462 129.433156 \nL 162.18515 132.756432 \nL 156.862068 135.776313 \nL 152.483176 138.463327 \nL 148.996952 140.866941 \nL 146.296008 143.062216 \nL 144.253053 145.118057 \nL 142.742624 147.084448 \nL 141.652364 148.991217 \nL 140.887595 150.852035 \nL 140.371992 152.669656 \nL 139.940115 155.306555 \nL 139.798298 157.816052 \nL 139.862498 160.175713 \nL 140.198557 163.058991 \nL 140.626234 165.008466 \nL 141.220384 166.764536 \nL 142.016124 168.316144 \nL 142.684794 169.229276 \nL 143.488639 170.037498 \nL 144.454459 170.731128 \nL 145.61501 171.296853 \nL 147.010019 171.716472 \nL 148.687313 171.965252 \nL 150.704001 172.009737 \nL 153.127538 171.804884 \nL 156.036338 171.290354 \nL 159.519371 170.385895 \nL 163.673695 168.985951 \nL 168.598197 166.954171 \nL 174.380738 164.119589 \nL 177.612684 162.338558 \nL 181.074408 160.278344 \nL 184.760506 157.910711 \nL 188.65712 155.208501 \nL 192.739334 152.147784 \nL 196.968117 148.710872 \nL 201.286932 144.890364 \nL 205.618203 140.69431 \nL 209.859981 136.152488 \nL 213.883391 131.323475 \nL 217.53177 126.301845 \nL 220.622526 121.224242 \nL 222.953165 116.272403 \nL 224.3127 111.670545 \nL 224.499358 107.674307 \nL 223.344199 104.548997 \nL 220.738381 102.536935 \nL 216.659411 101.817335 \nL 211.189502 102.466739 \nL 204.518916 104.431604 \nL 196.929816 107.524334 \nL 188.76187 111.448318 \nL 180.367304 115.847381 \nL 156.703048 128.631675 \nL 149.923041 132.037139 \nL 143.819225 134.874014 \nL 138.385277 137.161369 \nL 133.584868 138.955923 \nL 129.36511 140.332078 \nL 125.666147 141.367593 \nL 119.590834 142.696156 \nL 114.917181 143.395738 \nL 109.767148 143.858702 \nL 105.08855 144.006753 \nL 102.539359 143.916156 \nL 100.484119 143.646584 \nL 98.781591 143.167855 \nL 97.384064 142.465033 \nL 96.625799 141.8781 \nL 96.019149 141.211046 \nL 95.578156 140.484514 \nL 95.315905 139.725724 \nL 95.241585 138.96713 \nL 95.358056 138.244413 \nL 95.660113 137.59391 \nL 96.13367 137.049753 \nL 96.755947 136.641076 \nL 97.496599 136.389643 \nL 98.319647 136.308269 \nL 99.18587 136.40018 \nL 100.055332 136.659352 \nL 100.889718 137.071655 \nL 102.000702 137.931015 \nL 102.859322 139.001257 \nL 103.256907 139.784586 \nL 103.4987 140.590325 \nL 103.577032 141.390777 \nL 103.489055 142.15964 \nL 103.236347 142.872198 \nL 102.824613 143.505354 \nL 102.263565 144.037584 \nL 101.566993 144.448959 \nL 100.752973 144.721297 \nL 99.844187 144.838543 \nL 98.868229 144.787441 \nL 97.857788 144.558535 \nL 96.850525 144.147503 \nL 95.888467 143.556713 \nL 95.016758 142.796886 \nL 94.28161 141.888596 \nL 93.727466 140.863181 \nL 93.393486 139.762758 \nL 93.309727 138.638894 \nL 93.493497 137.549758 \nL 93.946569 136.555867 \nL 94.653843 135.714871 \nL 95.583822 135.076148 \nL 96.691014 134.676151 \nL 97.919881 134.535371 \nL 99.209632 134.657365 \nL 100.499148 135.029868 \nL 101.731239 135.627565 \nL 102.855779 136.41578 \nL 103.831526 137.354346 \nL 104.626724 138.401024 \nL 105.218742 139.514124 \nL 105.593103 140.654196 \nL 105.742255 141.784853 \nL 105.664334 142.872924 \nL 105.362163 143.888128 \nL 104.84259 144.802492 \nL 104.116243 145.589699 \nL 103.197717 146.224524 \nL 102.106163 146.682504 \nL 100.866212 146.939978 \nL 99.509114 146.974649 \nL 98.073896 146.766783 \nL 96.608291 146.301157 \nL 95.169068 145.569801 \nL 93.821344 144.575383 \nL 92.636455 143.334946 \nL 91.688031 141.883321 \nL 91.046212 140.275339 \nL 90.770384 138.585757 \nL 90.901357 136.905933 \nL 91.125318 136.101129 \nL 91.454429 135.336881 \nL 91.885891 134.62568 \nL 92.414965 133.979265 \nL 93.03506 133.408277 \nL 93.737892 132.921934 \nL 94.513712 132.527762 \nL 95.351566 132.231407 \nL 97.165431 131.944687 \nL 99.079897 132.066968 \nL 100.996342 132.574343 \nL 102.825403 133.420344 \nL 104.492493 134.54428 \nL 105.940212 135.879433 \nL 107.128184 137.359669 \nL 108.031068 138.923847 \nL 108.635645 140.518047 \nL 108.937707 142.096032 \nL 108.939232 143.618503 \nL 108.646193 145.051653 \nL 108.0671 146.365397 \nL 107.212362 147.531582 \nL 106.094429 148.52234 \nL 104.728719 149.308723 \nL 103.135239 149.859774 \nL 101.340878 150.142214 \nL 99.382209 150.12101 \nL 97.308566 149.761106 \nL 95.184965 149.030742 \nL 93.094169 147.906622 \nL 91.136942 146.38102 \nL 90.244233 145.4716 \nL 89.429306 144.470343 \nL 88.707923 143.384517 \nL 88.095676 142.223903 \nL 87.607525 141.000911 \nL 87.257269 139.730584 \nL 87.05698 138.430466 \nL 87.016445 137.120334 \nL 87.142633 135.821754 \nL 87.439245 134.557488 \nL 87.906356 133.350777 \nL 88.540231 132.224518 \nL 89.333288 131.200379 \nL 90.274262 130.297959 \nL 91.348549 129.534007 \nL 92.538707 128.921778 \nL 93.825093 128.470598 \nL 95.186576 128.185628 \nL 96.601287 128.067871 \nL 98.047346 128.114397 \nL 99.503528 128.318746 \nL 100.949833 128.671483 \nL 102.367936 129.160834 \nL 103.741495 129.773336 \nL 105.056348 130.494513 \nL 107.464475 132.203281 \nL 109.522816 134.171065 \nL 111.192452 136.293801 \nL 112.458228 138.485029 \nL 113.321358 140.676798 \nL 113.792743 142.817672 \nL 113.887636 144.869273 \nL 113.621836 146.802472 \nL 113.009321 148.59366 \nL 112.061159 150.221428 \nL 110.785556 151.663593 \nL 109.188915 152.894596 \nL 107.277896 153.883211 \nL 105.062523 154.59061 \nL 102.560469 154.969001 \nL 99.802576 154.961208 \nL 98.34256 154.792334 \nL 96.839561 154.501988 \nL 95.30426 154.081406 \nL 93.749518 153.522036 \nL 92.19057 152.815901 \nL 90.645178 151.956066 \nL 89.133689 150.937183 \nL 87.678997 149.756143 \nL 86.306351 148.412803 \nL 85.042998 146.910743 \nL 83.917608 145.258027 \nL 82.959506 143.467911 \nL 82.197637 141.55938 \nL 81.659372 139.557473 \nL 81.369134 137.493229 \nL 81.346963 135.403254 \nL 81.607124 133.328781 \nL 82.156881 131.314247 \nL 82.995576 129.405411 \nL 84.114151 127.647165 \nL 85.495188 126.081192 \nL 87.113495 124.743708 \nL 88.937231 123.663474 \nL 90.929446 122.860404 \nL 93.049916 122.344764 \nL 95.257077 122.117166 \nL 97.509887 122.169198 \nL 99.769469 122.484683 \nL 102.000422 123.041302 \nL 104.171737 123.812422 \nL 106.257323 124.768917 \nL 108.236181 125.880845 \nL 110.092269 127.118833 \nL 111.814152 128.455162 \nL 113.394507 129.864514 \nL 114.829538 131.324398 \nL 116.118372 132.81534 \nL 117.262467 134.320865 \nL 119.130665 137.3237 \nL 120.472881 140.25307 \nL 121.336138 143.060791 \nL 121.766911 145.720871 \nL 121.805582 148.22156 \nL 121.483389 150.55919 \nL 120.82109 152.733577 \nL 119.828778 154.744552 \nL 118.506456 156.589178 \nL 116.845162 158.259221 \nL 114.828637 159.738624 \nL 112.435694 161.000625 \nL 109.643623 162.004433 \nL 108.091587 162.391988 \nL 106.433192 162.691358 \nL 104.66778 162.891728 \nL 102.795997 162.980663 \nL 100.820218 162.944029 \nL 98.745027 162.765954 \nL 96.577786 162.428873 \nL 94.329257 161.913678 \nL 92.014282 161.200022 \nL 89.652486 160.266815 \nL 87.268991 159.092969 \nL 84.895014 157.658456 \nL 82.568349 155.945697 \nL 80.333559 153.941348 \nL 78.241771 151.638425 \nL 76.349921 149.038721 \nL 74.719303 146.155378 \nL 73.413343 143.015309 \nL 72.494503 139.66119 \nL 72.020443 136.152527 \nL 72.03964 132.565386 \nL 72.586897 128.990341 \nL 73.679235 125.528456 \nL 75.312835 122.285384 \nL 77.461615 119.364026 \nL 80.077818 116.856571 \nL 83.094736 114.83708 \nL 86.43129 113.355663 \nL 89.997865 112.435211 \nL 93.702576 112.071099 \nL 97.457143 112.23378 \nL 101.181693 112.873648 \nL 104.808066 113.927197 \nL 108.281574 115.323511 \nL 111.561309 116.990186 \nL 114.619379 118.858056 \nL 117.439419 120.86455 \nL 120.014733 122.955583 \nL 122.346346 125.086306 \nL 124.441167 127.220922 \nL 126.310344 129.331929 \nL 127.96789 131.39904 \nL 130.711975 135.349401 \nL 132.805938 139.010102 \nL 134.378539 142.366887 \nL 135.544879 145.431275 \nL 136.402448 148.226886 \nL 137.279063 151.977162 \nL 137.976465 156.289753 \nL 138.654454 162.411407 \nL 139.273214 167.201475 \nL 139.766526 169.459299 \nL 140.26011 170.943214 \nL 140.903913 172.249043 \nL 141.750441 173.369997 \nL 142.460879 174.006922 \nL 143.317908 174.546544 \nL 144.35316 174.977384 \nL 145.605003 175.283477 \nL 147.11985 175.44291 \nL 148.953597 175.425827 \nL 151.173085 175.191735 \nL 153.85735 174.685889 \nL 157.098251 173.834604 \nL 160.999635 172.539381 \nL 165.673613 170.670148 \nL 171.231456 168.05866 \nL 174.372105 166.410523 \nL 177.765112 164.49489 \nL 181.413418 162.279833 \nL 185.313301 159.732489 \nL 189.451902 156.820623 \nL 193.8042 153.515001 \nL 198.329407 149.792806 \nL 202.9669 145.642315 \nL 207.631878 141.069015 \nL 212.211122 136.103183 \nL 216.559609 130.808628 \nL 220.49898 125.291809 \nL 223.819338 119.709802 \nL 226.286098 114.274641 \nL 227.653727 109.250649 \nL 227.687518 104.940838 \nL 226.193184 101.659288 \nL 223.051198 99.689075 \nL 218.249511 99.230528 \nL 211.905241 100.351188 \nL 204.265735 102.95364 \nL 195.683656 106.77645 \nL 186.569162 111.434023 \nL 151.986378 130.28546 \nL 144.905738 133.705504 \nL 138.593587 136.43696 \nL 133.019515 138.531338 \nL 128.127371 140.07328 \nL 123.849627 141.158364 \nL 120.116687 141.878849 \nL 116.862234 142.316161 \nL 114.025854 142.53807 \nL 111.554003 142.598759 \nL 107.523727 142.39465 \nL 104.471557 141.931799 \nL 102.179084 141.33796 \nL 100.488426 140.685764 \nL 99.284806 140.020404 \nL 98.48298 139.374631 \nL 98.016987 138.775876 \nL 97.832674 138.248818 \nL 97.882504 137.815493 \nL 98.122275 137.494359 \nL 98.509386 137.299034 \nL 99.002247 137.237301 \nL 99.852172 137.396511 \nL 100.723178 137.836658 \nL 101.505477 138.509918 \nL 102.111426 139.350268 \nL 102.478069 140.282299 \nL 102.567114 141.228476 \nL 102.363337 142.11405 \nL 101.872649 142.869834 \nL 101.12076 143.433811 \nL 100.152736 143.752678 \nL 99.033193 143.784387 \nL 97.846168 143.50245 \nL 96.693195 142.902158 \nL 95.999333 142.335722 \nL 95.405693 141.653674 \nL 94.945411 140.879319 \nL 94.647796 140.043353 \nL 94.535829 139.182917 \nL 94.623789 138.339785 \nL 94.915382 137.55771 \nL 95.402675 136.879148 \nL 96.066122 136.341802 \nL 96.875766 135.975464 \nL 97.793443 135.799678 \nL 98.775709 135.822542 \nL 99.777054 136.040756 \nL 100.752959 136.440822 \nL 101.662417 137.00102 \nL 102.46975 137.693788 \nL 103.145653 138.48809 \nL 103.667536 139.351464 \nL 104.01934 140.251595 \nL 104.191034 141.157368 \nL 104.177975 142.039412 \nL 103.980306 142.870299 \nL 103.602479 143.62447 \nL 103.053022 144.278054 \nL 102.344546 144.808701 \nL 101.493987 145.195536 \nL 100.523038 145.41936 \nL 99.458685 145.463162 \nL 98.333694 145.313059 \nL 97.186895 144.959661 \nL 96.063006 144.399863 \nL 95.011773 143.638942 \nL 94.086221 142.692692 \nL 93.339828 141.589233 \nL 92.822683 140.369965 \nL 92.576887 139.089104 \nL 92.631735 137.81134 \nL 92.999481 136.607502 \nL 93.67254 135.548524 \nL 94.622872 134.698569 \nL 95.803866 134.108484 \nL 97.154515 133.810897 \nL 98.60517 133.817853 \nL 100.083779 134.121286 \nL 101.521622 134.695945 \nL 102.857707 135.50389 \nL 104.041474 136.499505 \nL 105.033818 137.634079 \nL 105.80677 138.859415 \nL 106.342271 140.13017 \nL 106.630514 141.405044 \nL 106.668241 142.64703 \nL 106.457261 143.822972 \nL 106.0034 144.902755 \nL 105.31594 145.858354 \nL 104.407616 146.662885 \nL 103.295135 147.289888 \nL 102.000184 147.712944 \nL 100.550818 147.905796 \nL 98.983089 147.843167 \nL 97.342666 147.502415 \nL 95.686084 146.866217 \nL 94.08115 145.926258 \nL 92.605917 144.687845 \nL 91.345626 143.174823 \nL 90.387192 141.433961 \nL 89.81126 139.537388 \nL 89.687833 138.560032 \nL 89.682457 137.581587 \nL 89.79906 136.616989 \nL 90.039409 135.681703 \nL 90.402938 134.791309 \nL 90.886657 133.961012 \nL 91.485163 133.205165 \nL 92.190733 132.53679 \nL 92.993533 131.967152 \nL 93.881897 131.505398 \nL 94.842677 131.158304 \nL 95.861656 130.93012 \nL 96.923958 130.822548 \nL 98.014485 130.834808 \nL 100.221036 131.204536 \nL 102.370058 131.992414 \nL 104.366921 133.130073 \nL 106.138028 134.538845 \nL 107.631386 136.13925 \nL 108.814452 137.857634 \nL 109.670434 139.629693 \nL 110.194104 141.401465 \nL 110.387923 143.128556 \nL 110.258857 144.77435 \nL 109.816124 146.307737 \nL 109.069903 147.700794 \nL 108.030994 148.926557 \nL 106.711374 149.957071 \nL 105.125625 150.761791 \nL 103.293186 151.306469 \nL 101.241397 151.552756 \nL 99.009212 151.458828 \nL 96.651321 150.981514 \nL 94.242153 150.080433 \nL 93.047771 149.460711 \nL 91.878858 148.724685 \nL 90.751215 147.871516 \nL 89.681935 146.902278 \nL 88.689175 145.820333 \nL 87.791814 144.631725 \nL 87.00903 143.345516 \nL 86.359734 141.974049 \nL 85.861939 140.533089 \nL 85.532038 139.041819 \nL 85.384049 137.522622 \nL 85.428861 136.000662 \nL 85.673552 134.50323 \nL 86.120818 133.058868 \nL 86.768577 131.696326 \nL 87.609813 130.443403 \nL 88.632661 129.325751 \nL 89.820763 128.365747 \nL 91.153861 127.581536 \nL 92.608601 126.9863 \nL 94.159465 126.587844 \nL 95.779791 126.388523 \nL 97.442756 126.38546 \nL 99.122299 126.571095 \nL 100.793898 126.933889 \nL 102.435199 127.459216 \nL 104.026426 128.130266 \nL 105.550636 128.928949 \nL 106.993806 129.83671 \nL 108.344761 130.835217 \nL 109.595011 131.906914 \nL 111.77134 134.205769 \nL 113.49821 136.620132 \nL 114.775223 139.062019 \nL 115.616775 141.466818 \nL 116.044325 143.788997 \nL 116.0807 145.99706 \nL 115.746302 148.06871 \nL 115.056968 149.986603 \nL 114.023141 151.73469 \nL 112.650175 153.295094 \nL 110.939579 154.645302 \nL 108.891268 155.755563 \nL 106.506894 156.586472 \nL 103.794505 157.086862 \nL 102.321071 157.193536 \nL 100.774793 157.192398 \nL 99.161549 157.073361 \nL 97.489094 156.825656 \nL 95.76741 156.438016 \nL 94.009027 155.898951 \nL 92.229345 155.197109 \nL 90.446937 154.321781 \nL 88.683746 153.263533 \nL 86.965204 152.014988 \nL 85.320162 150.571737 \nL 83.780648 148.933377 \nL 82.381327 147.104623 \nL 81.158682 145.0964 \nL 80.149844 142.926838 \nL 79.391107 140.622017 \nL 78.916133 138.21633 \nL 78.753977 135.752274 \nL 78.927047 133.279581 \nL 79.449195 130.853589 \nL 80.324162 128.532885 \nL 81.544589 126.376309 \nL 83.091761 124.439632 \nL 84.936171 122.772153 \nL 87.038919 121.413709 \nL 89.353795 120.392304 \nL 91.82985 119.72282 \nL 94.41416 119.406763 \nL 97.054506 119.433152 \nL 99.701724 119.780298 \nL 102.31154 120.418224 \nL 104.845814 121.311329 \nL 107.273182 122.421075 \nL 109.569176 123.708347 \nL 111.715928 125.135415 \nL 113.701567 126.667331 \nL 115.519456 128.272862 \nL 117.167326 129.924929 \nL 118.646426 131.600717 \nL 119.960724 133.281509 \nL 121.116168 134.952344 \nL 122.980547 138.220489 \nL 124.305396 141.343709 \nL 125.157804 144.292395 \nL 125.598298 147.057241 \nL 125.676592 149.640759 \nL 125.429723 152.051415 \nL 124.881661 154.299672 \nL 124.043738 156.395284 \nL 122.915474 158.345296 \nL 121.485572 160.152333 \nL 119.733018 161.812817 \nL 117.628372 163.314806 \nL 115.135506 164.635188 \nL 112.214217 165.735923 \nL 108.824391 166.559159 \nL 106.942852 166.841755 \nL 104.932741 167.021211 \nL 102.792699 167.081917 \nL 100.523401 167.005823 \nL 98.128223 166.772295 \nL 95.614013 166.358065 \nL 92.991991 165.737311 \nL 90.278761 164.881952 \nL 87.497403 163.7622 \nL 84.678599 162.347529 \nL 81.861693 160.608095 \nL 79.095574 158.51673 \nL 76.43916 156.051619 \nL 73.961306 153.199589 \nL 71.739797 149.960013 \nL 69.859235 146.349 \nL 68.407522 142.403508 \nL 67.470903 138.184665 \nL 67.127682 133.779528 \nL 67.44107 129.300347 \nL 68.45193 124.880616 \nL 70.172541 120.667547 \nL 72.582524 116.811344 \nL 75.627969 113.452329 \nL 79.224333 110.707836 \nL 83.262859 108.66109 \nL 87.619692 107.354071 \nL 92.166131 106.785614 \nL 96.778458 106.914902 \nL 101.345923 107.669282 \nL 105.776079 108.954708 \nL 109.997269 110.666737 \nL 113.958666 112.700381 \nL 117.628492 114.957704 \nL 120.991192 117.352758 \nL 124.044212 119.813978 \nL 126.794844 122.284613 \nL 129.257414 124.721708 \nL 131.450944 127.094361 \nL 135.119733 131.570347 \nL 137.987139 135.628197 \nL 140.235087 139.255942 \nL 142.797396 143.945748 \nL 146.538966 151.069254 \nL 147.712167 152.887842 \nL 148.962425 154.460138 \nL 150.345497 155.792627 \nL 151.913336 156.882965 \nL 153.716605 157.719485 \nL 155.806463 158.280398 \nL 158.235473 158.532694 \nL 161.05736 158.430785 \nL 164.325129 157.915147 \nL 168.086818 156.911446 \nL 172.377763 155.331203 \nL 174.726285 154.294219 \nL 177.207927 153.075724 \nL 179.816816 151.663416 \nL 182.542656 150.046129 \nL 185.369694 148.214762 \nL 188.275576 146.163511 \nL 191.230131 143.891357 \nL 194.194195 141.403898 \nL 197.118541 138.715403 \nL 199.943114 135.851067 \nL 202.596811 132.849219 \nL 204.998036 129.763235 \nL 207.056368 126.662704 \nL 208.675643 123.633352 \nL 209.758675 120.775117 \nL 210.21364 118.197833 \nL 209.961908 116.014238 \nL 208.946651 114.330428 \nL 207.141169 113.234562 \nL 204.555477 112.785384 \nL 201.239634 113.00273 \nL 197.282605 113.862287 \nL 192.806205 115.29639 \nL 187.954745 117.201385 \nL 182.882063 119.450294 \nL 172.658007 124.448096 \nL 142.443574 140.043925 \nL 138.128706 142.425825 \nL 134.759736 144.514418 \nL 132.107762 146.443907 \nL 129.969118 148.296621 \nL 128.171284 150.113732 \nL 124.295003 154.547918 \nL 121.895287 157.078356 \nL 120.105125 158.670118 \nL 118.090001 160.155934 \nL 115.793906 161.504174 \nL 113.165292 162.674684 \nL 110.157935 163.614844 \nL 106.734146 164.254709 \nL 104.858122 164.434116 \nL 102.871093 164.501648 \nL 100.774235 164.441343 \nL 98.571228 164.235288 \nL 96.268874 163.86362 \nL 93.877796 163.304646 \nL 91.413223 162.535148 \nL 88.895805 161.530898 \nL 86.352444 160.26747 \nL 83.817055 158.721432 \nL 81.331142 156.871933 \nL 78.944092 154.702776 \nL 76.712973 152.204924 \nL 74.701707 149.379399 \nL 72.979386 146.240349 \nL 71.61762 142.818025 \nL 70.686859 139.161173 \nL 70.251768 135.338338 \nL 70.365964 131.437444 \nL 71.066632 127.563197 \nL 72.369715 123.831982 \nL 74.26647 120.364489 \nL 76.722138 117.276609 \nL 79.677164 114.669841 \nL 83.05102 112.622565 \nL 86.748185 111.183635 \nL 90.665417 110.36932 \nL 94.699264 110.164035 \nL 98.752765 110.524476 \nL 102.740586 111.386249 \nL 106.592232 112.671672 \nL 110.253337 114.297516 \nL 113.68535 116.181651 \nL 116.864101 118.248049 \nL 119.777701 120.429954 \nL 122.424198 122.671401 \nL 124.80929 124.92741 \nL 126.944251 127.163291 \nL 128.84418 129.353413 \nL 132.010194 133.530441 \nL 134.457722 137.380104 \nL 136.335442 140.883596 \nL 137.777895 144.053639 \nL 139.372491 148.243647 \nL 143.183606 159.239732 \nL 143.947791 160.668379 \nL 144.820274 161.943042 \nL 145.833236 163.062192 \nL 147.021318 164.019119 \nL 148.423138 164.80126 \nL 150.082633 165.38915 \nL 152.050201 165.75489 \nL 154.383521 165.860085 \nL 157.147766 165.65318 \nL 160.414744 165.066238 \nL 164.26012 164.011433 \nL 168.757387 162.377933 \nL 173.966513 160.030729 \nL 176.848476 158.541447 \nL 179.914367 156.814456 \nL 183.157222 154.829455 \nL 186.563246 152.56759 \nL 190.109961 150.013088 \nL 193.764099 147.155471 \nL 197.479342 143.992378 \nL 201.19404 140.533083 \nL 204.829177 136.802598 \nL 208.286933 132.846149 \nL 211.450407 128.733604 \nL 214.185116 124.563049 \nL 216.343054 120.462483 \nL 217.769985 116.588166 \nL 218.316406 113.118211 \nL 217.852018 110.240139 \nL 216.282555 108.132286 \nL 213.566651 106.940454 \nL 209.729311 106.753448 \nL 204.868084 107.583139 \nL 199.148905 109.355139 \nL 192.790784 111.914493 \nL 186.041664 115.04684 \nL 179.150582 118.510355 \nL 153.987807 131.612196 \nL 144.21535 136.248633 \nL 136.446279 139.549806 \nL 127.889092 142.800541 \nL 120.42174 145.624988 \nL 116.508204 147.351258 \nL 109.232131 150.73003 \nL 107.148524 151.421651 \nL 104.957786 151.91406 \nL 102.640587 152.15684 \nL 100.199993 152.096792 \nL 97.662881 151.679803 \nL 95.082146 150.854311 \nL 93.799607 150.27435 \nL 92.538813 149.577193 \nL 91.314386 148.760222 \nL 90.142617 147.822603 \nL 89.041258 146.765722 \nL 88.029228 145.593591 \nL 87.126208 144.313265 \nL 86.352097 142.935177 \nL 85.726391 141.473394 \nL 85.267423 139.945732 \nL 84.991569 138.373656 \nL 84.912402 136.781989 \nL 85.039888 135.198352 \nL 85.379677 133.652356 \nL 85.932536 132.17457 \nL 86.69402 130.795317 \nL 87.654388 129.543372 \nL 88.798835 128.444667 \nL 90.107982 127.521126 \nL 91.558641 126.789708 \nL 93.124767 126.261764 \nL 94.778522 125.942747 \nL 96.491382 125.832302 \nL 98.235187 125.924679 \nL 99.983074 126.209443 \nL 101.710233 126.672365 \nL 103.394462 127.296413 \nL 105.016534 128.062764 \nL 106.560345 128.951738 \nL 108.012913 129.943627 \nL 109.364235 131.019353 \nL 110.607046 132.160981 \nL 112.749899 134.577769 \nL 114.42584 137.082785 \nL 115.641793 139.592062 \nL 116.417546 142.045688 \nL 116.778101 144.40267 \nL 116.748213 146.635453 \nL 116.348921 148.724928 \nL 115.595689 150.65617 \nL 114.497838 152.41484 \nL 113.059029 153.984088 \nL 111.278688 155.341748 \nL 109.154383 156.457689 \nL 106.68533 157.29128 \nL 103.877298 157.789098 \nL 102.351343 157.89147 \nL 100.749206 157.883295 \nL 99.076714 157.753804 \nL 97.34169 157.49146 \nL 95.554323 157.084129 \nL 93.727537 156.51937 \nL 91.877343 155.784809 \nL 90.02318 154.868695 \nL 88.188146 153.760566 \nL 86.399143 152.452105 \nL 84.686826 150.938152 \nL 83.08534 149.217839 \nL 81.631758 147.295825 \nL 80.365183 145.183527 \nL 79.325462 142.900236 \nL 78.551538 140.473959 \nL 78.079471 137.941828 \nL 77.940239 135.349875 \nL 78.157466 132.752033 \nL 78.745319 130.208296 \nL 79.706826 127.782025 \nL 81.032816 125.536602 \nL 82.701731 123.531653 \nL 84.680369 121.819308 \nL 86.925536 120.440877 \nL 89.386478 119.424394 \nL 92.007793 118.783303 \nL 94.73251 118.516438 \nL 97.505032 118.609204 \nL 100.273627 119.035754 \nL 102.992327 119.761784 \nL 105.622133 120.74757 \nL 108.131562 121.950915 \nL 110.496636 123.329686 \nL 112.700418 124.843827 \nL 114.73228 126.456766 \nL 116.58699 128.13626 \nL 118.263761 129.854757 \nL 119.765317 131.589383 \nL 121.097026 133.32167 \nL 122.266147 135.03711 \nL 124.151288 138.376204 \nL 125.49455 141.550442 \nL 126.369115 144.535372 \nL 126.840035 147.326252 \nL 126.960367 149.92948 \nL 126.769663 152.356853 \nL 126.293863 154.621814 \nL 125.545919 156.737008 \nL 124.526721 158.712555 \nL 123.226074 160.554653 \nL 121.623657 162.264131 \nL 119.690012 163.8347 \nL 117.387725 165.250589 \nL 114.673191 166.483267 \nL 111.499482 167.486987 \nL 109.726001 167.882573 \nL 107.821208 168.19293 \nL 105.780987 168.40466 \nL 103.60258 168.501972 \nL 101.285132 168.466427 \nL 98.830362 168.276734 \nL 96.243377 167.908612 \nL 93.53362 167.334772 \nL 90.71597 166.525099 \nL 87.811957 165.447112 \nL 84.851061 164.066804 \nL 81.871996 162.349998 \nL 78.923864 160.264323 \nL 76.066977 157.781954 \nL 73.373089 154.883137 \nL 70.924741 151.560465 \nL 68.813367 147.823721 \nL 67.135853 143.704823 \nL 65.989375 139.262199 \nL 65.464567 134.583623 \nL 65.637393 129.786458 \nL 66.560598 125.014261 \nL 68.255947 120.429106 \nL 70.708713 116.199834 \nL 73.865757 112.487308 \nL 77.63802 109.428803 \nL 81.907424 107.124226 \nL 86.537181 105.626778 \nL 91.383799 104.939819 \nL 96.308737 105.020287 \nL 101.18797 105.787615 \nL 105.918378 107.135941 \nL 110.42071 108.947214 \nL 114.639535 111.102903 \nL 118.541059 113.492978 \nL 122.109712 116.021636 \nL 125.344316 118.60998 \nL 128.254405 121.196308 \nL 130.857005 123.734742 \nL 133.173993 126.193022 \nL 137.051161 130.792964 \nL 140.092451 134.916996 \nL 142.497037 138.562167 \nL 146.080912 144.553413 \nL 148.232869 148.074255 \nL 149.609507 150.023504 \nL 151.034675 151.680746 \nL 152.576494 153.057327 \nL 154.2954 154.154233 \nL 156.247021 154.961758 \nL 158.484087 155.459048 \nL 161.057137 155.613479 \nL 164.013691 155.380078 \nL 167.395383 154.701335 \nL 171.232286 153.508183 \nL 175.533488 151.723367 \nL 177.851901 150.584473 \nL 180.2728 149.269168 \nL 182.784129 147.770077 \nL 185.368826 146.082181 \nL 188.003944 144.203878 \nL 190.659767 142.13825 \nL 193.299005 139.894531 \nL 195.876169 137.489684 \nL 198.337263 134.950026 \nL 200.619973 132.312694 \nL 202.65456 129.626726 \nL 204.365635 126.953442 \nL 205.675032 124.365743 \nL 206.505811 121.945983 \nL 206.787398 119.782094 \nL 206.461528 117.961923 \nL 205.488502 116.566019 \nL 203.85291 115.659528 \nL 201.567891 115.284377 \nL 198.676944 115.453125 \nL 195.252614 116.145891 \nL 191.391867 117.3114 \nL 187.208621 118.872243 \nL 182.824569 120.73361 \nL 173.923924 124.95519 \nL 161.630345 131.278826 \nL 151.803446 136.536567 \nL 146.749253 139.381713 \nL 142.759777 141.833213 \nL 139.655201 144.026768 \nL 137.247898 146.070416 \nL 135.364614 148.03528 \nL 133.85531 149.960484 \nL 132.024667 152.805588 \nL 128.236815 159.194018 \nL 126.987449 160.917457 \nL 125.567567 162.578708 \nL 123.927769 164.167245 \nL 122.01701 165.669599 \nL 119.781131 167.066853 \nL 117.162227 168.331181 \nL 114.099249 169.421161 \nL 110.530492 170.275542 \nL 108.538241 170.587878 \nL 106.399057 170.805196 \nL 104.108221 170.910389 \nL 101.662938 170.883327 \nL 99.063054 170.700535 \nL 96.31196 170.334947 \nL 93.41769 169.755762 \nL 90.394188 168.928511 \nL 87.262789 167.815423 \nL 84.053802 166.376217 \nL 80.808189 164.569514 \nL 77.579118 162.35499 \nL 74.433219 159.696502 \nL 71.451192 156.56625 \nL 68.727378 152.950014 \nL 66.367838 148.85324 \nL 64.486477 144.3075 \nL 63.19889 139.376445 \nL 62.613937 134.160001 \nL 62.823492 128.795277 \nL 63.891436 123.452743 \nL 65.843576 118.3267 \nL 68.660499 113.62012 \nL 72.275251 109.525433 \nL 76.57696 106.204158 \nL 81.420321 103.769291 \nL 86.639441 102.273959 \nL 92.063507 101.708727 \nL 97.531437 102.007739 \nL 102.903235 103.061746 \nL 108.066789 104.734873 \nL 112.940131 106.881527 \nL 117.470014 109.360681 \nL 121.628113 112.046007 \nL 125.406134 114.831516 \nL 128.810831 117.633375 \nL 131.85953 120.388943 \nL 134.57644 123.054161 \nL 139.129753 128.010078 \nL 142.711225 132.394622 \nL 146.766248 137.906071 \nL 151.59331 144.648434 \nL 153.272287 146.632192 \nL 154.969073 148.259595 \nL 156.765709 149.547766 \nL 158.73086 150.501345 \nL 160.922728 151.112776 \nL 163.390592 151.362762 \nL 166.174651 151.220936 \nL 169.303797 150.647201 \nL 172.790874 149.594328 \nL 176.624901 148.012853 \nL 180.759934 145.859589 \nL 185.100716 143.111344 \nL 187.301029 141.517132 \nL 189.486539 139.785014 \nL 191.624543 137.927684 \nL 193.676857 135.9638 \nL 195.599974 133.91881 \nL 197.345641 131.825531 \nL 198.861923 129.724381 \nL 200.094844 127.663013 \nL 200.990652 125.695252 \nL 201.498685 123.879141 \nL 201.574734 122.274067 \nL 201.184634 120.937042 \nL 200.307789 119.918358 \nL 198.940134 119.257142 \nL 197.096088 118.977308 \nL 194.809064 119.084683 \nL 192.130293 119.565828 \nL 189.125936 120.388951 \nL 185.872788 121.506875 \nL 182.453104 122.861719 \nL 175.438711 126.030611 \nL 168.662032 129.425282 \nL 162.53335 132.70488 \nL 157.271149 135.697952 \nL 152.935068 138.370515 \nL 149.479357 140.766818 \nL 146.802035 142.957712 \nL 144.780301 145.009354 \nL 143.29223 146.970177 \nL 142.22822 148.869252 \nL 141.4958 150.719888 \nL 141.020535 152.524632 \nL 140.744865 154.279721 \nL 140.615528 156.804208 \nL 140.747988 159.176384 \nL 141.095827 161.373498 \nL 141.648395 163.376441 \nL 142.423492 165.167566 \nL 143.08408 166.234302 \nL 143.881138 167.190571 \nL 144.838978 168.026562 \nL 145.98787 168.729213 \nL 147.364828 169.280977 \nL 149.014534 169.658244 \nL 150.990314 169.829284 \nL 153.354984 169.751619 \nL 156.18128 169.368655 \nL 159.551299 168.605563 \nL 163.554052 167.364561 \nL 168.279541 165.520221 \nL 173.806926 162.91642 \nL 176.888095 161.272835 \nL 180.183066 159.368336 \nL 183.686762 157.177519 \nL 187.386535 154.675992 \nL 191.259883 151.842238 \nL 195.271798 148.660224 \nL 199.371835 145.12286 \nL 203.491049 141.236416 \nL 207.539096 137.025835 \nL 211.401987 132.540753 \nL 214.941188 127.861666 \nL 217.994947 123.105262 \nL 220.383005 118.427403 \nL 221.91569 114.021719 \nL 222.408217 110.111535 \nL 221.700084 106.933203 \nL 219.677977 104.710263 \nL 216.298855 103.620622 \nL 211.607836 103.762277 \nL 205.745164 105.126486 \nL 198.937636 107.587776 \nL 191.474064 110.917054 \nL 183.669388 114.816861 \nL 154.323055 130.380901 \nL 148.259451 133.339375 \nL 142.817807 135.80486 \nL 137.980139 137.810326 \nL 133.707066 139.412974 \nL 126.647351 141.676163 \nL 121.20527 143.090141 \nL 113.642177 144.698724 \nL 105.721646 146.210105 \nL 103.115279 146.494024 \nL 101.468093 146.507199 \nL 99.868398 146.348119 \nL 98.318071 145.993987 \nL 96.836296 145.428636 \nL 95.456733 144.64518 \nL 94.224294 143.648767 \nL 93.191107 142.459175 \nL 92.411458 141.112736 \nL 91.935703 139.662894 \nL 91.80363 138.178638 \nL 92.038063 136.740342 \nL 92.639851 135.433043 \nL 93.585376 134.337873 \nL 94.827292 133.523181 \nL 96.298571 133.037066 \nL 97.919112 132.902883 \nL 99.6036 133.118562 \nL 101.269113 133.659506 \nL 102.841199 134.483987 \nL 104.25782 135.539651 \nL 105.470976 136.769665 \nL 106.446467 138.117651 \nL 107.162334 139.530966 \nL 107.606651 140.962373 \nL 107.775185 142.370393 \nL 107.669311 143.718771 \nL 107.294427 144.975362 \nL 106.658992 146.110819 \nL 105.774219 147.097227 \nL 104.654443 147.906939 \nL 103.318109 148.511706 \nL 101.789342 148.882278 \nL 100.099953 148.988688 \nL 98.291704 148.801428 \nL 96.418533 148.293766 \nL 94.548205 147.445439 \nL 92.762753 146.247736 \nL 91.156888 144.709765 \nL 89.833504 142.865086 \nL 89.310268 141.846326 \nL 88.895806 140.777259 \nL 88.601238 139.670929 \nL 88.436184 138.542282 \nL 88.40834 137.407923 \nL 88.52309 136.285764 \nL 88.783169 135.194557 \nL 89.188415 134.153335 \nL 89.735624 133.180794 \nL 90.418551 132.294639 \nL 91.228015 131.51094 \nL 92.152167 130.843566 \nL 93.17685 130.303685 \nL 94.286086 129.899432 \nL 95.462587 129.635704 \nL 96.688332 129.514139 \nL 97.945126 129.533239 \nL 99.215114 129.688645 \nL 100.48124 129.973511 \nL 101.72763 130.378952 \nL 104.105157 131.508795 \nL 106.252598 132.984783 \nL 108.102506 134.710109 \nL 109.612904 136.59448 \nL 110.76262 138.5597 \nL 111.54573 140.541498 \nL 111.966226 142.488771 \nL 112.033558 144.361332 \nL 111.759329 146.127003 \nL 111.155178 147.75863 \nL 110.2318 149.231231 \nL 108.999002 150.519448 \nL 107.466743 151.59529 \nL 105.647121 152.426291 \nL 103.557321 152.974146 \nL 101.223534 153.194091 \nL 98.685791 153.035468 \nL 96.003454 152.444115 \nL 94.633278 151.969446 \nL 93.260751 151.367379 \nL 91.901023 150.632956 \nL 90.571207 149.762598 \nL 89.290325 148.754574 \nL 88.079142 147.609535 \nL 86.959874 146.33106 \nL 85.955752 144.926196 \nL 85.090439 143.405944 \nL 84.387276 141.785638 \nL 83.868409 140.085152 \nL 83.553797 138.328876 \nL 83.460165 136.545412 \nL 83.59999 134.766942 \nL 83.980589 133.028257 \nL 84.603382 131.365483 \nL 85.463456 129.814565 \nL 86.549457 128.40961 \nL 87.843875 127.181243 \nL 89.323676 126.15511 \nL 90.961301 125.350687 \nL 92.725876 124.780475 \nL 94.584588 124.449701 \nL 96.504068 124.356492 \nL 98.451699 124.492507 \nL 100.396743 124.843893 \nL 102.311219 125.392487 \nL 104.170534 126.117123 \nL 105.95382 126.994885 \nL 107.644064 128.002279 \nL 109.227995 129.116203 \nL 110.695851 130.314708 \nL 112.041022 131.577536 \nL 113.259637 132.886454 \nL 115.312787 135.580565 \nL 116.862679 138.294491 \nL 117.934208 140.956708 \nL 118.559849 143.520362 \nL 118.772508 145.956376 \nL 118.600889 148.24725 \nL 118.066856 150.381947 \nL 117.184301 152.351756 \nL 115.959123 154.146937 \nL 114.390098 155.753759 \nL 112.470552 157.151756 \nL 110.19093 158.310924 \nL 107.542515 159.188849 \nL 104.522682 159.727761 \nL 102.876077 159.84721 \nL 101.142202 159.852068 \nL 99.326105 159.729897 \nL 97.435048 159.467139 \nL 95.478956 159.049272 \nL 93.470895 158.461082 \nL 91.427555 157.687074 \nL 89.369706 156.712051 \nL 87.322584 155.521899 \nL 85.316168 154.104578 \nL 83.385247 152.451359 \nL 81.569226 150.558269 \nL 79.911568 148.427688 \nL 78.458791 146.070025 \nL 77.258966 143.505292 \nL 76.359693 140.764406 \nL 75.805586 137.889927 \nL 75.635414 134.936011 \nL 75.879092 131.967317 \nL 76.554847 129.056711 \nL 77.666903 126.281815 \nL 79.204039 123.720529 \nL 81.139311 121.445987 \nL 83.431099 119.521473 \nL 86.025413 117.996011 \nL 88.859221 116.901174 \nL 91.864426 116.249543 \nL 94.971954 116.035016 \nL 98.115553 116.234762 \nL 101.234889 116.812463 \nL 104.277727 117.722301 \nL 107.201155 118.913074 \nL 109.971934 120.33203 \nL 112.566143 121.927991 \nL 114.968322 123.653675 \nL 117.170323 125.467157 \nL 119.170045 127.332586 \nL 120.970182 129.2203 \nL 122.577049 131.106534 \nL 123.999561 132.972835 \nL 126.335088 136.594204 \nL 128.070661 140.016197 \nL 129.3009 143.211872 \nL 130.111586 146.179173 \nL 130.57494 148.929728 \nL 130.747982 151.481673 \nL 130.672675 153.855367 \nL 130.376961 156.070916 \nL 129.876121 158.146774 \nL 129.174091 160.098999 \nL 128.264546 161.940763 \nL 127.131676 163.681932 \nL 125.750648 165.328451 \nL 124.087815 166.881406 \nL 122.100807 168.335502 \nL 119.738732 169.676676 \nL 116.942829 170.878563 \nL 113.648184 171.897327 \nL 109.787429 172.664445 \nL 107.624698 172.923158 \nL 105.297912 173.07709 \nL 102.802067 173.10606 \nL 100.134504 172.986171 \nL 97.29583 172.68942 \nL 94.291071 172.183395 \nL 91.131051 171.431146 \nL 87.834034 170.391312 \nL 84.427568 169.018695 \nL 80.950506 167.26542 \nL 77.45504 165.082939 \nL 74.008546 162.42511 \nL 70.694891 159.252535 \nL 67.614741 155.538304 \nL 64.884294 151.275078 \nL 62.631844 146.483011 \nL 60.99158 141.217749 \nL 60.09441 135.576972 \nL 60.056088 129.703646 \nL 60.96368 123.783918 \nL 62.86232 118.037931 \nL 65.744813 112.703102 \nL 69.546771 108.011211 \nL 74.149156 104.162663 \nL 79.388625 101.302951 \nL 85.074047 99.506327 \nL 91.006033 98.770361 \nL 96.995632 99.022199 \nL 102.87895 100.134352 \nL 108.525911 101.945778 \nL 113.843017 104.283424 \nL 118.771323 106.980456 \nL 123.281407 109.888914 \nL 127.367063 112.886526 \nL 131.039035 115.878527 \nL 134.319551 118.795972 \nL 137.237948 121.592101 \nL 142.1226 126.717932 \nL 145.967582 131.163524 \nL 151.547007 138.128857 \nL 154.693617 141.922263 \nL 156.592813 143.881896 \nL 158.469482 145.434618 \nL 160.414053 146.60548 \nL 162.498066 147.405725 \nL 164.777061 147.834131 \nL 167.291843 147.878693 \nL 170.067907 147.518869 \nL 173.112724 146.72885 \nL 176.4108 145.482462 \nL 179.916497 143.760519 \nL 183.545141 141.561341 \nL 187.163792 138.914778 \nL 190.584388 135.898785 \nL 192.146327 134.293823 \nL 193.56369 132.655489 \nL 194.79951 131.013122 \nL 195.815932 129.400426 \nL 196.575676 127.854705 \nL 197.04382 126.415645 \nL 197.189818 125.123583 \nL 196.989633 124.017389 \nL 196.427797 123.132006 \nL 195.499181 122.495965 \nL 194.210247 122.12905 \nL 192.579538 122.040543 \nL 190.637316 122.228218 \nL 188.42426 122.678436 \nL 185.989335 123.36722 \nL 183.387054 124.262363 \nL 177.907786 126.518632 \nL 172.419699 129.134526 \nL 167.274219 131.841792 \nL 162.704875 134.462514 \nL 158.829199 136.911643 \nL 155.673399 139.172361 \nL 153.203675 141.264708 \nL 151.354041 143.22039 \nL 150.046838 145.067759 \nL 149.20601 146.825374 \nL 148.764686 148.500994 \nL 148.668838 150.093117 \nL 148.878495 151.593263 \nL 149.367564 152.987886 \nL 150.122977 154.259661 \nL 151.143588 155.387962 \nL 152.439052 156.348642 \nL 154.028754 157.113251 \nL 155.940705 157.647726 \nL 158.210253 157.910765 \nL 160.878229 157.851952 \nL 163.988058 157.409929 \nL 167.581033 156.511093 \nL 171.688721 155.069695 \nL 176.32112 152.990872 \nL 178.82712 151.682199 \nL 181.44904 150.179076 \nL 184.173065 148.472293 \nL 186.979452 146.555452 \nL 189.841421 144.426296 \nL 192.724039 142.088306 \nL 195.583199 139.55257 \nL 198.364827 136.839787 \nL 201.004515 133.982349 \nL 203.427805 131.026195 \nL 205.551421 128.032122 \nL 207.285696 125.076104 \nL 208.538438 122.248111 \nL 209.220345 119.648895 \nL 209.251818 117.384403 \nL 208.570735 115.557802 \nL 207.14033 114.259613 \nL 204.956014 113.557052 \nL 202.049715 113.484474 \nL 198.490551 114.036806 \nL 194.381088 115.167928 \nL 189.849386 116.794935 \nL 185.037916 118.807765 \nL 180.091233 121.082522 \nL 170.314503 125.936705 \nL 147.329974 137.87226 \nL 140.196642 141.784702 \nL 136.711157 143.95907 \nL 133.983989 145.953435 \nL 131.81321 147.857464 \nL 130.02522 149.719566 \nL 128.475475 151.55898 \nL 128.475475 151.55898 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p423bba79b9\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(results_test_np[:,0], results_test_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(results_test_np[:,0], results_test_np[:,1], results_test_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import scipy.io\n",
-    "\n",
-    "scipy.io.savemat(\"Lorenz63_fitRandomSample.mat\", {\"x\": results_test_np})"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb b/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb
deleted file mode 100644
index 3bb42494..00000000
--- a/examples/ode/lorenz63/Lorenz63Train_fitRandomSample_RK4.ipynb
+++ /dev/null
@@ -1,607 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3\n",
-    "\n",
-    "import time"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Lorenz 63 equations\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"sigma\"]*(prev_val[\"y\"]-prev_val[\"x\"])\n",
-    "\n",
-    "def y_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x\"]*(coeffs[\"rho\"]-prev_val[\"z\"])-prev_val[\"y\"]\n",
-    "\n",
-    "def z_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x\"]*prev_val[\"y\"]-coeffs[\"beta\"]*prev_val[\"z\"]\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
-    "\n",
-    "# Initial conditions [1,0,0]\n",
-    "ode_init = {\"x\":1, \"y\":0, \"z\":0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"sigma\": 10., \"rho\": 28., \"beta\": 2.7}\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 9.1793e-01,  2.6634e-01,  1.2636e-03],\n",
-       "        [ 8.6792e-01,  5.1173e-01,  4.6540e-03],\n",
-       "        ...,\n",
-       "        [-5.6997e+00, -5.8341e+00,  2.3410e+01],\n",
-       "        [-5.7226e+00, -6.0452e+00,  2.3121e+01],\n",
-       "        [-5.7641e+00, -6.2715e+00,  2.2854e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "<ipython-input-6-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n",
-      "  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.803446pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.803446\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:16:25.805405</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.803446 \nL 391.245 297.803446 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \nL 384.045 7.813321 \nL 26.925 7.813321 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mf4a67d91a1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.955462\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −10 -->\n      <g transform=\"translate(44.403118 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"107.380685\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −5 -->\n      <g transform=\"translate(100.009591 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"159.805907\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0 -->\n      <g transform=\"translate(156.624657 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"212.23113\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 5 -->\n      <g transform=\"translate(209.04988 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.656352\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 10 -->\n      <g transform=\"translate(258.293852 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"317.081575\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 15 -->\n      <g transform=\"translate(310.719075 288.523759)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"369.506797\" xlink:href=\"#mf4a67d91a1\" y=\"273.925321\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(363.144297 288.523759)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_8\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m8b1083c2a2\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"261.829321\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.62854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"211.663301\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.46252)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"161.49728\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.296499)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"111.33126\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.130479)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"61.165239\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.964458)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m8b1083c2a2\" y=\"10.999219\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.798437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p5082b9307e)\" d=\"M 170.290952 261.829321 \nL 168.669606 261.779998 \nL 168.684764 261.745412 \nL 170.022445 261.578892 \nL 176.260042 260.884149 \nL 182.8422 259.876397 \nL 188.803971 258.688842 \nL 192.360321 257.853309 \nL 196.355625 256.800226 \nL 200.836122 255.474279 \nL 205.851335 253.807056 \nL 211.453273 251.714507 \nL 217.695057 249.094254 \nL 224.628844 245.822989 \nL 232.30273 241.754373 \nL 240.756333 236.718134 \nL 250.014651 230.521413 \nL 260.079854 222.953863 \nL 270.920785 213.798506 \nL 282.460057 202.850643 \nL 294.559292 189.947098 \nL 307.003822 175.006907 \nL 319.48925 158.082124 \nL 331.613843 139.412789 \nL 342.881754 119.473861 \nL 352.722422 98.995877 \nL 360.52995 78.938865 \nL 365.722155 60.405125 \nL 367.812273 44.493932 \nL 366.480304 32.125386 \nL 361.626615 23.880766 \nL 353.393157 19.909321 \nL 342.145724 19.930314 \nL 328.421981 23.324554 \nL 312.859183 29.279014 \nL 296.118965 36.937415 \nL 278.823855 45.519206 \nL 228.474456 71.301974 \nL 213.291657 78.867868 \nL 199.207793 85.710792 \nL 186.285935 91.825618 \nL 163.925747 102.038584 \nL 138.303789 113.285454 \nL 95.922397 131.637213 \nL 91.455936 133.275784 \nL 87.534204 134.40898 \nL 83.972307 135.05747 \nL 82.284857 135.204335 \nL 80.644174 135.23505 \nL 79.042214 135.151403 \nL 77.473566 134.955528 \nL 74.426413 134.238442 \nL 71.504053 133.113992 \nL 68.736972 131.627023 \nL 66.178396 129.839778 \nL 63.897382 127.832871 \nL 61.970993 125.70389 \nL 60.475715 123.563332 \nL 59.478434 121.527844 \nL 59.182694 120.5855 \nL 59.027884 119.711464 \nL 59.016085 118.918003 \nL 59.147466 118.216075 \nL 59.420238 117.615064 \nL 59.8306 117.122625 \nL 60.372803 116.74453 \nL 61.039227 116.484623 \nL 61.820554 116.3448 \nL 62.705923 116.32506 \nL 64.739065 116.636943 \nL 67.030268 117.387077 \nL 69.462862 118.5219 \nL 71.920115 119.974145 \nL 74.292313 121.669199 \nL 76.481988 123.530273 \nL 78.407157 125.48219 \nL 80.002728 127.453685 \nL 81.22044 129.378533 \nL 82.02784 131.195803 \nL 82.406784 132.849693 \nL 82.351843 134.289174 \nL 82.163106 134.91381 \nL 81.868956 135.467773 \nL 81.471758 135.945973 \nL 80.974512 136.343655 \nL 80.380842 136.656399 \nL 79.694999 136.880194 \nL 78.06708 137.047163 \nL 76.138152 136.822564 \nL 73.967025 136.195115 \nL 71.624525 135.167229 \nL 69.193541 133.758204 \nL 66.768166 132.007176 \nL 64.451394 129.975018 \nL 62.351178 127.744545 \nL 60.574619 125.418206 \nL 59.220621 123.112832 \nL 58.371639 120.95151 \nL 58.155794 119.962568 \nL 58.085619 119.053444 \nL 58.163433 118.236666 \nL 58.389348 117.523216 \nL 58.761212 116.92232 \nL 59.274627 116.44124 \nL 59.923023 116.085171 \nL 60.69781 115.857184 \nL 61.58856 115.758266 \nL 62.583242 115.787373 \nL 64.829908 116.216296 \nL 67.320188 117.101518 \nL 69.9294 118.380555 \nL 72.534773 119.978327 \nL 75.022713 121.813873 \nL 77.294018 123.805681 \nL 79.266778 125.875232 \nL 80.877348 127.949032 \nL 82.079791 129.959402 \nL 82.844479 131.844427 \nL 83.156238 133.547527 \nL 83.141034 134.314502 \nL 83.012568 135.016928 \nL 82.772274 135.649036 \nL 82.422228 136.205325 \nL 81.965139 136.680588 \nL 81.404337 137.069945 \nL 80.743792 137.368872 \nL 79.988119 137.573234 \nL 78.213205 137.684141 \nL 76.130372 137.38021 \nL 73.802486 136.65039 \nL 71.305256 135.498391 \nL 68.727422 133.946319 \nL 66.169807 132.037928 \nL 63.742773 129.840744 \nL 61.561791 127.446145 \nL 59.740856 124.966539 \nL 58.384288 122.529245 \nL 57.907831 121.368071 \nL 57.577533 120.267111 \nL 57.399685 119.241942 \nL 57.378387 118.307022 \nL 57.515378 117.475327 \nL 57.809987 116.75804 \nL 58.259057 116.16434 \nL 58.857036 115.7012 \nL 59.596046 115.373281 \nL 60.466086 115.182946 \nL 61.455249 115.130282 \nL 62.549994 115.213221 \nL 64.995837 115.768083 \nL 67.674914 116.795912 \nL 70.453295 118.225423 \nL 73.201247 119.973877 \nL 75.8008 121.954261 \nL 78.150684 124.080572 \nL 80.168872 126.27123 \nL 81.793006 128.450751 \nL 82.979365 130.550175 \nL 83.700966 132.506685 \nL 83.945414 134.262947 \nL 83.888328 135.049375 \nL 83.71293 135.766364 \nL 83.42097 136.408022 \nL 83.014832 136.968702 \nL 82.497528 137.443075 \nL 81.872695 137.826098 \nL 81.14461 138.113084 \nL 80.318216 138.299763 \nL 79.399144 138.382339 \nL 77.309147 138.222776 \nL 74.934849 137.616742 \nL 72.349875 136.560494 \nL 69.64192 135.068244 \nL 66.912526 133.17611 \nL 64.275216 130.945264 \nL 61.851682 128.463247 \nL 59.765554 125.842422 \nL 58.134055 123.214745 \nL 57.521257 121.942779 \nL 57.058129 120.722739 \nL 56.75309 119.5721 \nL 56.612329 118.507404 \nL 56.639607 117.543846 \nL 56.836094 116.694879 \nL 57.200279 115.971919 \nL 57.727993 115.384084 \nL 58.412446 114.938033 \nL 59.2444 114.637872 \nL 60.212363 114.48518 \nL 61.302879 114.479104 \nL 62.500827 114.616506 \nL 63.789799 114.892191 \nL 66.5709 115.829005 \nL 69.502899 117.217582 \nL 72.444509 118.971453 \nL 75.265346 120.998013 \nL 77.85215 123.204995 \nL 80.112145 125.504686 \nL 81.973913 127.81604 \nL 83.386477 130.065344 \nL 84.317214 132.185808 \nL 84.749404 134.116646 \nL 84.777067 134.99338 \nL 84.679829 135.802169 \nL 84.459079 136.536717 \nL 84.116852 137.190976 \nL 83.655819 137.759167 \nL 83.079253 138.23576 \nL 82.39107 138.61554 \nL 81.595819 138.893636 \nL 80.698735 139.065571 \nL 79.705763 139.127354 \nL 78.623597 139.07556 \nL 76.222581 138.621013 \nL 73.566232 137.69015 \nL 70.740035 136.288235 \nL 67.844813 134.442163 \nL 64.995817 132.204658 \nL 62.31966 129.656954 \nL 59.948751 126.908764 \nL 58.013114 124.094436 \nL 57.245986 122.709246 \nL 56.630058 121.364703 \nL 56.176139 120.080211 \nL 55.892848 118.874515 \nL 55.786355 117.765211 \nL 55.86011 116.768326 \nL 56.114723 115.897879 \nL 56.547874 115.165551 \nL 57.154342 114.580443 \nL 57.926079 114.148898 \nL 58.852426 113.874447 \nL 59.920343 113.757875 \nL 61.114732 113.797335 \nL 62.418843 113.98856 \nL 63.814618 114.325148 \nL 66.805074 115.399977 \nL 69.93169 116.940051 \nL 73.044398 118.850173 \nL 76.006846 121.030718 \nL 78.702457 123.384192 \nL 81.037442 125.819285 \nL 82.941087 128.252656 \nL 84.36423 130.609155 \nL 85.276668 132.821007 \nL 85.5364 133.853247 \nL 85.664257 134.826651 \nL 85.660537 135.734291 \nL 85.526246 136.569489 \nL 85.263044 137.325804 \nL 84.873231 137.997019 \nL 84.359701 138.577161 \nL 83.725974 139.0605 \nL 82.976185 139.44159 \nL 82.115119 139.715314 \nL 81.148255 139.876962 \nL 80.081803 139.922288 \nL 78.922762 139.847626 \nL 77.678982 139.650009 \nL 74.973196 138.87826 \nL 72.046376 137.602475 \nL 68.997034 135.838807 \nL 65.940313 133.629337 \nL 63.005983 131.046115 \nL 60.333765 128.192997 \nL 58.06576 125.203577 \nL 57.125864 123.706083 \nL 56.335978 122.234433 \nL 55.709571 120.80986 \nL 55.258042 119.453318 \nL 54.99035 118.184977 \nL 54.912735 117.023669 \nL 55.028447 115.986377 \nL 55.337606 115.087808 \nL 55.837112 114.340008 \nL 56.520695 113.752125 \nL 57.379057 113.330234 \nL 58.400057 113.077322 \nL 59.569067 112.993369 \nL 60.869299 113.075523 \nL 62.282252 113.31835 \nL 63.788169 113.714195 \nL 66.996291 114.925288 \nL 70.327403 116.616878 \nL 73.622128 118.684745 \nL 76.737681 121.02202 \nL 79.553869 123.525881 \nL 81.975658 126.1014 \nL 83.932875 128.66294 \nL 85.378051 131.133915 \nL 86.283269 133.445604 \nL 86.529183 134.522012 \nL 86.636805 135.535603 \nL 86.606717 136.479335 \nL 86.440174 137.346377 \nL 86.139079 138.130135 \nL 85.705939 138.824189 \nL 85.143852 139.422348 \nL 84.456514 139.918642 \nL 83.648239 140.307359 \nL 82.723992 140.583082 \nL 81.689433 140.740798 \nL 80.550981 140.775943 \nL 79.31587 140.684527 \nL 77.992235 140.463276 \nL 76.589171 140.109752 \nL 73.586371 139.001434 \nL 70.401908 137.363676 \nL 67.14866 135.225673 \nL 63.957208 132.647254 \nL 60.972442 129.722594 \nL 58.346951 126.580472 \nL 57.216308 124.976538 \nL 56.230965 123.3796 \nL 55.407221 121.812457 \nL 54.759536 120.29816 \nL 54.300097 118.859435 \nL 54.038405 117.518088 \nL 53.980939 116.294384 \nL 54.130908 115.206485 \nL 54.488044 114.269967 \nL 55.048576 113.497404 \nL 55.805254 112.898135 \nL 56.74753 112.478072 \nL 57.861814 112.239723 \nL 59.131827 112.182293 \nL 60.539021 112.301937 \nL 62.063097 112.59206 \nL 63.682487 113.043708 \nL 65.374851 113.645992 \nL 68.888371 115.251877 \nL 72.42791 117.300158 \nL 75.832708 119.675707 \nL 78.965104 122.266449 \nL 81.714506 124.968577 \nL 83.99784 127.688733 \nL 85.757565 130.344043 \nL 86.958243 132.860869 \nL 87.342947 134.046414 \nL 87.582651 135.17297 \nL 87.677449 136.233102 \nL 87.628168 137.219633 \nL 87.436291 138.12559 \nL 87.103913 138.944186 \nL 86.63371 139.668802 \nL 86.028932 140.292987 \nL 85.293397 140.810495 \nL 84.431536 141.215286 \nL 83.448423 141.501621 \nL 82.349833 141.664092 \nL 81.142305 141.697745 \nL 79.83324 141.598176 \nL 78.43096 141.361692 \nL 76.944812 140.985463 \nL 75.385258 140.467697 \nL 73.763919 139.80785 \nL 70.388719 138.067213 \nL 66.937625 135.792122 \nL 63.548856 133.044343 \nL 60.377072 129.923358 \nL 58.923731 128.264598 \nL 57.586333 126.567076 \nL 56.385055 124.853249 \nL 55.339086 123.147001 \nL 54.466146 121.473123 \nL 53.781962 119.856712 \nL 53.299795 118.322523 \nL 53.029964 116.894275 \nL 52.979457 115.593967 \nL 53.151675 114.441232 \nL 53.546198 113.452796 \nL 54.158737 112.642027 \nL 54.9812 112.018664 \nL 56.001881 111.58866 \nL 57.205749 111.354167 \nL 58.574885 111.31373 \nL 60.088942 111.462557 \nL 61.72571 111.792897 \nL 63.461692 112.294483 \nL 65.272668 112.955047 \nL 69.022342 114.6969 \nL 72.786185 116.898198 \nL 76.393589 119.434659 \nL 79.700239 122.187146 \nL 82.591851 125.046837 \nL 84.984108 127.917102 \nL 86.819933 130.713058 \nL 87.5178 132.059438 \nL 88.065393 133.359823 \nL 88.461351 134.606032 \nL 88.705209 135.790247 \nL 88.797303 136.904919 \nL 88.738672 137.942728 \nL 88.530986 138.896535 \nL 88.176495 139.759367 \nL 87.677999 140.524371 \nL 87.038838 141.18484 \nL 86.262896 141.7342 \nL 85.354653 142.16607 \nL 84.319203 142.474297 \nL 83.162347 142.653035 \nL 81.890659 142.696849 \nL 80.511578 142.600821 \nL 79.033519 142.360711 \nL 77.465966 141.973143 \nL 75.819568 141.43579 \nL 74.106255 140.747592 \nL 72.339306 139.908997 \nL 70.533409 138.922217 \nL 68.704664 137.79147 \nL 66.870609 136.523216 \nL 65.050123 135.126372 \nL 63.263325 133.612458 \nL 61.531353 131.995722 \nL 59.876126 130.293129 \nL 58.320013 128.524294 \nL 56.88541 126.711281 \nL 55.594259 124.87828 \nL 54.467555 123.051164 \nL 53.52476 121.256886 \nL 52.78324 119.522861 \nL 52.257696 117.876166 \nL 51.959657 116.3428 \nL 51.897031 114.946884 \nL 52.073759 113.709938 \nL 52.48961 112.650255 \nL 53.140076 111.782401 \nL 54.016436 111.11686 \nL 55.105992 110.659911 \nL 56.392374 110.413621 \nL 57.856054 110.376036 \nL 59.474864 110.541541 \nL 61.224624 110.901275 \nL 63.079768 111.443689 \nL 65.014006 112.155081 \nL 67.00095 113.020189 \nL 71.030055 115.145773 \nL 74.973046 117.685908 \nL 78.661824 120.50901 \nL 81.960379 123.493961 \nL 84.766123 126.533357 \nL 87.007715 129.533646 \nL 87.902159 130.993288 \nL 88.640728 132.413441 \nL 89.221234 133.785407 \nL 89.64252 135.10091 \nL 89.904347 136.352008 \nL 90.00725 137.531047 \nL 89.952449 138.630572 \nL 89.741768 139.643292 \nL 89.377568 140.562032 \nL 88.862728 141.37971 \nL 88.200624 142.089341 \nL 87.395143 142.684018 \nL 86.450723 143.156965 \nL 85.372402 143.501581 \nL 84.165899 143.711512 \nL 82.837694 143.780749 \nL 81.395148 143.703752 \nL 79.846609 143.475603 \nL 78.201536 143.092216 \nL 76.470629 142.550519 \nL 74.665927 141.848724 \nL 72.800944 140.986563 \nL 70.890705 139.965595 \nL 68.951847 138.789484 \nL 67.00259 137.464269 \nL 65.062702 135.998618 \nL 63.153393 134.404072 \nL 61.297119 132.695144 \nL 59.517331 130.889413 \nL 57.838125 129.007441 \nL 56.283802 127.072613 \nL 54.878357 125.110812 \nL 53.644902 123.149919 \nL 52.605063 121.219244 \nL 51.778289 119.348745 \nL 51.18125 117.568198 \nL 50.827224 115.906337 \nL 50.725581 114.389926 \nL 50.88136 113.042943 \nL 51.294992 111.885835 \nL 51.962206 110.934908 \nL 52.874044 110.201958 \nL 54.017106 109.694057 \nL 55.373904 109.413578 \nL 56.923418 109.358388 \nL 58.641661 109.522256 \nL 60.502404 109.895367 \nL 62.477899 110.464917 \nL 64.539608 111.215769 \nL 66.658874 112.131102 \nL 68.807577 113.193014 \nL 73.086595 115.682943 \nL 77.180526 118.539994 \nL 80.92648 121.628121 \nL 84.198477 124.826238 \nL 86.906392 128.02955 \nL 88.029465 129.604539 \nL 88.99177 131.148124 \nL 89.790005 132.650919 \nL 90.422127 134.104083 \nL 90.887155 135.499224 \nL 91.18503 136.828314 \nL 91.316461 138.083584 \nL 91.282823 139.257465 \nL 91.086057 140.342513 \nL 90.728611 141.33138 \nL 90.213391 142.216754 \nL 89.543767 142.991374 \nL 88.723553 143.648006 \nL 87.757074 144.179465 \nL 86.649214 144.578668 \nL 85.405484 144.838699 \nL 84.032143 144.952898 \nL 82.53631 144.914998 \nL 80.92609 144.719276 \nL 79.210717 144.360748 \nL 77.400711 143.835394 \nL 75.508 143.140412 \nL 73.546074 142.274528 \nL 71.530091 141.238279 \nL 69.476951 140.034372 \nL 67.405333 138.667994 \nL 65.335704 137.147134 \nL 63.290213 135.482833 \nL 61.29254 133.689436 \nL 59.367641 131.784662 \nL 57.541396 129.789659 \nL 55.840152 127.728824 \nL 54.290218 125.629525 \nL 52.917191 123.521614 \nL 51.745321 121.436791 \nL 50.796716 119.40781 \nL 50.090674 117.467547 \nL 49.642935 115.64799 \nL 49.465077 113.979221 \nL 49.564 112.488425 \nL 49.941564 111.198986 \nL 50.59439 110.129812 \nL 51.513907 109.294767 \nL 52.686507 108.702464 \nL 54.093981 108.356193 \nL 55.71404 108.254174 \nL 57.521027 108.38995 \nL 59.486653 108.752985 \nL 61.58086 109.329367 \nL 63.772621 110.102542 \nL 66.030736 111.054073 \nL 68.32455 112.164333 \nL 70.624573 113.413183 \nL 75.134105 116.246532 \nL 79.363477 119.400251 \nL 83.156623 122.735837 \nL 86.398367 126.133579 \nL 87.786877 127.823389 \nL 89.011028 129.491947 \nL 90.065981 131.12893 \nL 90.948436 132.724739 \nL 91.656413 134.270391 \nL 92.189051 135.75738 \nL 92.546432 137.177561 \nL 92.729414 138.52308 \nL 92.739509 139.786283 \nL 92.578755 140.959599 \nL 92.249662 142.035538 \nL 91.755146 143.006607 \nL 91.098511 143.865286 \nL 90.283461 144.604024 \nL 89.314133 145.215254 \nL 88.195144 145.691417 \nL 86.9317 146.025 \nL 85.529676 146.208666 \nL 83.99577 146.235323 \nL 82.337639 146.098323 \nL 80.56405 145.791627 \nL 78.685063 145.310029 \nL 76.712198 144.649455 \nL 74.658598 143.807253 \nL 72.539192 142.782544 \nL 70.37079 141.57658 \nL 68.17221 140.193131 \nL 65.964261 138.638887 \nL 63.769741 136.923759 \nL 61.613308 135.061211 \nL 59.521241 133.068465 \nL 57.521147 130.966592 \nL 55.641505 128.78044 \nL 53.911093 126.538418 \nL 52.358349 124.272055 \nL 51.010631 122.015345 \nL 49.893388 119.803952 \nL 49.029307 117.674177 \nL 48.437517 115.661845 \nL 48.132808 113.801124 \nL 48.124998 112.123352 \nL 48.418428 110.65595 \nL 49.011678 109.421539 \nL 49.897477 108.437237 \nL 51.062858 107.714267 \nL 52.48952 107.257854 \nL 54.154437 107.067385 \nL 56.030559 107.136862 \nL 58.087678 107.455518 \nL 60.293368 108.00862 \nL 62.61391 108.778322 \nL 65.015196 109.74454 \nL 67.463599 110.885783 \nL 69.926671 112.17993 \nL 72.373764 113.604857 \nL 74.77651 115.13896 \nL 79.348733 118.453103 \nL 83.471521 121.971819 \nL 85.32324 123.766843 \nL 87.018689 125.566498 \nL 88.548595 127.358 \nL 89.905877 129.129668 \nL 91.085402 130.870803 \nL 92.083714 132.57153 \nL 92.898793 134.222655 \nL 93.52983 135.815536 \nL 93.976999 137.341946 \nL 94.241286 138.793962 \nL 94.324321 140.163852 \nL 94.228242 141.44399 \nL 93.955621 142.62678 \nL 93.509371 143.704613 \nL 92.892728 144.669779 \nL 92.109247 145.514487 \nL 91.162821 146.230836 \nL 90.057747 146.810815 \nL 88.798788 147.246379 \nL 87.391314 147.529499 \nL 85.84141 147.652242 \nL 84.15605 147.606955 \nL 82.343263 147.386422 \nL 80.412335 146.98408 \nL 78.373999 146.394293 \nL 76.24064 145.612697 \nL 74.026491 144.636528 \nL 71.747786 143.465049 \nL 69.422945 142.099962 \nL 67.072625 140.545871 \nL 64.719776 138.810707 \nL 62.389555 136.906144 \nL 60.1092 134.847893 \nL 57.907741 132.655962 \nL 55.815613 130.354711 \nL 53.864117 127.972742 \nL 52.084728 125.542567 \nL 50.508346 123.10003 \nL 49.164387 120.68349 \nL 48.079841 118.332819 \nL 47.278306 116.088127 \nL 46.77907 113.988474 \nL 46.596283 112.070458 \nL 46.738253 110.366898 \nL 47.207001 108.905668 \nL 47.998007 107.708765 \nL 49.100262 106.791681 \nL 50.496546 106.163094 \nL 52.163993 105.824947 \nL 54.074822 105.772837 \nL 56.197307 105.996652 \nL 58.496781 106.481454 \nL 60.936704 107.208443 \nL 63.47976 108.155993 \nL 66.088812 109.300662 \nL 68.727812 110.618098 \nL 71.362543 112.083806 \nL 73.961175 113.673836 \nL 76.494742 115.365234 \nL 78.937386 117.136404 \nL 81.266497 118.96729 \nL 83.462722 120.839493 \nL 85.509877 122.736268 \nL 87.394764 124.642438 \nL 89.106947 126.544284 \nL 90.638487 128.429414 \nL 91.98364 130.286565 \nL 93.138567 132.105472 \nL 94.101046 133.876661 \nL 94.870198 135.591301 \nL 95.446229 137.241057 \nL 95.830218 138.81795 \nL 96.023905 140.314229 \nL 96.029559 141.722259 \nL 95.849832 143.034442 \nL 95.487671 144.243123 \nL 94.946273 145.340524 \nL 94.229057 146.318722 \nL 93.339673 147.169583 \nL 92.282045 147.884783 \nL 91.060453 148.455826 \nL 89.679633 148.87408 \nL 88.144907 149.130848 \nL 86.462352 149.21749 \nL 84.638987 149.125586 \nL 82.682965 148.847107 \nL 80.603817 148.374695 \nL 78.412671 147.701979 \nL 76.122503 146.823905 \nL 73.74835 145.737192 \nL 71.307516 144.440768 \nL 68.819756 142.936308 \nL 66.307398 141.228711 \nL 63.795349 139.326645 \nL 61.311058 137.243009 \nL 58.884354 134.995332 \nL 56.547104 132.606014 \nL 54.332775 130.102412 \nL 52.275775 127.516702 \nL 50.410722 124.885457 \nL 48.771484 122.248958 \nL 47.390158 119.650216 \nL 46.295983 117.133706 \nL 45.514226 114.743929 \nL 45.065107 112.523809 \nL 44.962894 110.513103 \nL 45.215157 108.746871 \nL 45.822285 107.254199 \nL 46.77728 106.057172 \nL 48.065892 105.170286 \nL 49.667053 104.600257 \nL 51.553604 104.346225 \nL 53.693228 104.400373 \nL 56.049588 104.748768 \nL 58.583525 105.372504 \nL 61.254312 106.248865 \nL 64.020864 107.352533 \nL 66.842781 108.656717 \nL 69.681337 110.134175 \nL 72.500225 111.75802 \nL 75.266146 113.502389 \nL 77.949188 115.342892 \nL 80.523072 117.256928 \nL 82.965201 119.22381 \nL 85.256584 121.224794 \nL 87.381699 123.243049 \nL 89.328222 125.263476 \nL 91.086737 127.272593 \nL 92.6504 129.258296 \nL 94.014607 131.209687 \nL 95.176642 133.116853 \nL 96.135352 134.970684 \nL 96.890856 136.762675 \nL 97.444263 138.484788 \nL 97.797429 140.129281 \nL 97.952773 141.688578 \nL 97.913096 143.155157 \nL 97.681462 144.521449 \nL 97.26111 145.779762 \nL 96.655407 146.922182 \nL 95.86783 147.940557 \nL 94.901996 148.826439 \nL 93.761699 149.571081 \nL 92.451018 150.165461 \nL 90.974429 150.600288 \nL 89.336966 150.866118 \nL 87.544403 150.953448 \nL 85.603466 150.852875 \nL 83.522063 150.555297 \nL 81.309554 150.052229 \nL 78.977018 149.336091 \nL 76.537534 148.400645 \nL 74.006452 147.241451 \nL 71.40165 145.856395 \nL 68.743741 144.246271 \nL 66.056245 142.415414 \nL 63.365658 140.37229 \nL 60.70142 138.130068 \nL 58.095738 135.707136 \nL 55.583299 133.127407 \nL 53.200722 130.420504 \nL 50.985893 127.62161 \nL 48.9771 124.771047 \nL 47.211971 121.91349 \nL 45.726282 119.096856 \nL 44.552692 116.370845 \nL 43.719449 113.785241 \nL 43.249171 111.38802 \nL 43.157727 109.223483 \nL 43.453397 107.330469 \nL 44.13631 105.740821 \nL 45.198258 104.47827 \nL 46.622811 103.55776 \nL 48.385901 102.985282 \nL 50.456649 102.758214 \nL 52.798549 102.866088 \nL 55.370734 103.291729 \nL 58.129446 104.012556 \nL 61.029458 105.002044 \nL 64.025413 106.231116 \nL 67.073065 107.669458 \nL 70.130347 109.286653 \nL 73.15814 111.053077 \nL 76.120913 112.94059 \nL 78.987107 114.922992 \nL 81.72932 116.976305 \nL 84.324308 119.078858 \nL 86.752872 121.211283 \nL 88.999619 123.356367 \nL 91.052644 125.498887 \nL 92.903158 127.62538 \nL 94.545096 129.723895 \nL 95.974723 131.783772 \nL 97.190235 133.795377 \nL 98.191397 135.749907 \nL 98.979203 137.63917 \nL 99.555569 139.455417 \nL 99.923089 141.191164 \nL 100.084793 142.839074 \nL 100.043995 144.391788 \nL 99.804142 145.841851 \nL 99.368726 147.18161 \nL 99.368726 147.18161 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.925321 \nL 26.925 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.925321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.925321 \nL 384.045 273.925321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.813321 \nL 384.045 7.813321 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p5082b9307e\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.813321\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.989758pt\" version=\"1.1\" viewBox=\"0 0 292.718955 286.989758\" width=\"292.718955pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:16:26.325065</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.989758 \nL 292.718955 286.989758 \nL 292.718955 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 40.880847 212.135005 \nL 128.041563 137.776121 \nL 127.364952 31.202147 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 61.209965 218.774494 \nL 147.276893 143.367072 \nL 147.424484 36.286654 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.839253 225.51202 \nL 166.772616 149.033709 \nL 167.767353 41.442978 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.775409 232.349769 \nL 186.534056 154.777579 \nL 188.399602 46.672652 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 124.025333 239.289994 \nL 206.566682 160.600273 \nL 209.327452 51.977252 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 145.59613 246.335016 \nL 226.876115 166.503423 \nL 230.557302 57.3584 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.495125 253.487228 \nL 247.468133 172.48871 \nL 252.095734 62.817765 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 41.639939 211.487406 \nL 39.359401 213.432986 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(22.803963 235.475486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 61.959977 218.117372 \nL 59.706692 220.091585 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −5 -->\n     <g transform=\"translate(46.335229 242.255679)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 82.579835 224.845162 \nL 80.354859 226.848644 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(71.176703 249.136365)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 103.506196 231.672958 \nL 101.310625 233.706364 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 5 -->\n     <g transform=\"translate(92.136703 256.119793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 124.745947 238.603006 \nL 122.580915 240.667011 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 10 -->\n     <g transform=\"translate(110.230782 263.208282)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_7\">\n     <path d=\"M 146.30618 245.637619 \nL 144.172864 247.732921 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- 15 -->\n     <g transform=\"translate(131.82861 270.40422)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_8\">\n     <path d=\"M 168.194204 252.779184 \nL 166.093824 254.906498 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 20 -->\n     <g transform=\"translate(153.756327 277.710071)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_9\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 33.411997 86.575369 \nL 38.275223 198.492036 \nL 186.737417 246.294508 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 54.47053 71.207811 \nL 58.332287 181.679807 \nL 204.903588 227.651547 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 74.715715 56.433797 \nL 77.647534 165.489384 \nL 222.363285 209.733604 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.193781 42.219591 \nL 96.261372 149.886896 \nL 239.156932 192.499191 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 185.486629 245.891774 \nL 189.242211 247.101012 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- −10 -->\n     <g transform=\"translate(189.005821 267.248323)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 203.669966 227.264624 \nL 207.373945 228.426369 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 0 -->\n     <g transform=\"translate(214.299307 248.329476)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 221.146451 209.361579 \nL 224.799962 210.478573 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 10 -->\n     <g transform=\"translate(228.343055 230.146798)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 237.956516 192.14122 \nL 241.560676 193.216001 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 20 -->\n     <g transform=\"translate(244.910588 212.658138)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.251571 151.762171 \nL 114.913162 111.511962 \nL 26.14609 183.87494 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.237167 130.239261 \nL 114.673714 90.688986 \nL 25.083862 161.817081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.240046 108.338944 \nL 114.430271 69.518547 \nL 24.002287 139.357477 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.260667 86.051205 \nL 114.182731 47.991874 \nL 22.900832 116.485053 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.05643 151.424211 \nL 259.644723 152.438902 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.306999 156.801384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.031246 129.907042 \nL 260.651931 130.904504 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.449175 135.322004)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.023148 108.01272 \nL 261.676816 108.99219 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.611317 113.46714)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.03259 85.73124 \nL 262.719846 86.691923 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.793955 91.226859)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#p9fca97bdef)\" d=\"M 115.927527 197.608573 \nL 116.35842 196.552744 \nL 117.14457 195.712378 \nL 118.291453 194.961498 \nL 120.78177 193.795981 \nL 127.716083 191.054475 \nL 134.308287 188.380825 \nL 140.117868 185.866052 \nL 147.336397 182.5091 \nL 156.210415 178.011679 \nL 161.335771 175.220849 \nL 166.943664 171.998996 \nL 173.037143 168.291025 \nL 179.600712 164.043181 \nL 186.592949 159.208223 \nL 193.937697 153.753091 \nL 201.514226 147.669459 \nL 209.147283 140.987325 \nL 216.598807 133.790972 \nL 223.563944 126.235432 \nL 229.67503 118.559874 \nL 234.517679 111.09222 \nL 237.662377 104.238151 \nL 238.712527 98.448091 \nL 237.364804 94.160073 \nL 233.47092 91.724725 \nL 227.084346 91.32922 \nL 218.47436 92.944431 \nL 208.097251 96.317393 \nL 196.528692 101.016669 \nL 184.375832 106.517607 \nL 149.401354 123.072241 \nL 139.289778 127.569427 \nL 130.177089 131.346117 \nL 122.066533 134.418174 \nL 114.911516 136.852915 \nL 108.637317 138.742866 \nL 103.156528 140.187138 \nL 98.379007 141.27983 \nL 90.591886 142.729105 \nL 82.231864 143.911384 \nL 73.582099 145.132398 \nL 63.329787 146.92497 \nL 61.552931 146.989106 \nL 59.809192 146.885481 \nL 58.116234 146.593452 \nL 56.506765 146.100719 \nL 55.025055 145.405307 \nL 53.72283 144.517389 \nL 52.654379 143.460679 \nL 51.870955 142.272854 \nL 51.41484 141.00461 \nL 51.313745 139.716968 \nL 51.5764 138.476902 \nL 52.190105 137.351652 \nL 53.120812 136.402569 \nL 54.3157 135.679465 \nL 55.707902 135.216486 \nL 57.222417 135.030043 \nL 58.782271 135.119017 \nL 60.31397 135.466839 \nL 61.751655 136.044816 \nL 63.039717 136.815968 \nL 64.133938 137.738681 \nL 65.001443 138.769778 \nL 65.619876 139.866779 \nL 65.976155 140.989318 \nL 66.065165 142.099828 \nL 65.888603 143.163718 \nL 65.454148 144.149172 \nL 64.775028 145.026809 \nL 63.869978 145.769349 \nL 62.763595 146.351444 \nL 61.486893 146.749829 \nL 60.078005 146.943872 \nL 58.582734 146.916623 \nL 57.0547 146.656395 \nL 55.554771 146.1588 \nL 54.149468 145.429109 \nL 52.908085 144.484507 \nL 51.898506 143.355853 \nL 51.181912 142.088295 \nL 50.806914 140.740238 \nL 50.804016 139.380281 \nL 51.181387 138.082239 \nL 51.922883 136.918775 \nL 52.988882 135.954642 \nL 54.319834 135.240718 \nL 55.841982 134.809912 \nL 57.4742 134.675486 \nL 59.134722 134.831894 \nL 60.746901 135.257568 \nL 62.24337 135.91889 \nL 63.568389 136.774482 \nL 64.678661 137.779154 \nL 65.542901 138.887019 \nL 66.140684 140.053696 \nL 66.460931 141.237577 \nL 66.500449 142.400333 \nL 66.26269 143.506892 \nL 65.756924 144.525073 \nL 64.997867 145.425111 \nL 64.005764 146.17923 \nL 62.806872 146.761463 \nL 61.434214 147.147784 \nL 59.928416 147.316752 \nL 58.338404 147.250715 \nL 56.721614 146.937593 \nL 55.143374 146.373224 \nL 53.675107 145.564007 \nL 52.391065 144.529469 \nL 51.363606 143.304183 \nL 50.657195 141.938361 \nL 50.321911 140.496523 \nL 50.387372 139.053835 \nL 50.858333 137.690318 \nL 51.712933 136.483612 \nL 52.904137 135.501477 \nL 54.364226 134.795447 \nL 56.011491 134.396754 \nL 57.7579 134.315082 \nL 59.51642 134.540078 \nL 61.207011 135.044896 \nL 62.760646 135.790804 \nL 64.121426 136.731975 \nL 65.246948 137.819633 \nL 66.107492 139.005252 \nL 66.6845 140.242642 \nL 66.968818 141.489048 \nL 66.959049 142.705442 \nL 66.660251 143.856316 \nL 66.083121 144.909129 \nL 65.243691 145.833716 \nL 64.163539 146.601758 \nL 62.870434 147.186526 \nL 61.399285 147.563096 \nL 59.793154 147.709012 \nL 58.104112 147.605682 \nL 56.393547 147.240394 \nL 54.731492 146.608976 \nL 53.194637 145.718789 \nL 51.862651 144.591633 \nL 50.812835 143.265884 \nL 50.113401 141.797086 \nL 49.816201 140.256276 \nL 49.950092 138.72569 \nL 50.18023 137.99138 \nL 50.953955 136.637923 \nL 52.107806 135.501894 \nL 53.575318 134.6456 \nL 55.272239 134.11015 \nL 57.104883 133.913079 \nL 58.978545 134.049162 \nL 60.804629 134.49387 \nL 62.505742 135.208357 \nL 64.018493 136.144831 \nL 65.294272 137.251453 \nL 66.298529 138.476167 \nL 67.009125 139.76926 \nL 67.414341 141.084797 \nL 67.510901 142.381071 \nL 67.302382 143.620375 \nL 66.798111 144.768423 \nL 66.012643 145.79356 \nL 64.965855 146.666085 \nL 63.68353 147.357752 \nL 62.198375 147.841708 \nL 60.551247 148.092955 \nL 58.792343 148.089502 \nL 56.981973 147.814267 \nL 55.190515 147.257757 \nL 53.497012 146.421296 \nL 51.98608 145.320488 \nL 50.742825 143.988166 \nL 49.845965 142.476015 \nL 49.359849 140.853988 \nL 49.28503 140.027824 \nL 49.326555 139.206801 \nL 49.485164 138.402754 \nL 49.759587 137.627503 \nL 50.146522 136.892549 \nL 50.640701 136.208767 \nL 51.235017 135.586122 \nL 51.920713 135.033421 \nL 53.524384 134.16603 \nL 55.358392 133.647173 \nL 57.3208 133.491386 \nL 59.31027 133.6887 \nL 61.233621 134.208976 \nL 63.010894 135.007706 \nL 64.577905 136.032039 \nL 65.88656 137.225996 \nL 66.903674 138.534423 \nL 67.608896 139.905486 \nL 67.992373 141.291913 \nL 68.052575 142.651212 \nL 67.794569 143.945244 \nL 67.228901 145.139393 \nL 66.371127 146.201639 \nL 65.242026 147.101732 \nL 63.868351 147.81061 \nL 62.284065 148.300301 \nL 60.531808 148.544408 \nL 58.664323 148.519371 \nL 56.745447 148.206614 \nL 54.850152 147.595497 \nL 53.063129 146.687038 \nL 51.47537 145.497786 \nL 50.178509 144.06325 \nL 49.257146 142.439757 \nL 48.959587 141.580351 \nL 48.779871 140.703783 \nL 48.722614 139.822106 \nL 48.790425 138.94793 \nL 48.98375 138.094133 \nL 49.300819 137.273531 \nL 49.737631 136.498526 \nL 50.288054 135.780772 \nL 50.943962 135.130856 \nL 51.695469 134.558027 \nL 52.531213 134.069964 \nL 54.404435 133.370166 \nL 56.455485 133.057367 \nL 58.573662 133.129436 \nL 60.654886 133.560203 \nL 62.608295 134.305655 \nL 64.359848 135.310772 \nL 65.8533 136.515788 \nL 67.049174 137.861021 \nL 67.922567 139.290113 \nL 68.460472 140.751715 \nL 68.659202 142.199952 \nL 68.522221 143.594036 \nL 68.058638 144.897372 \nL 67.28242 146.076452 \nL 66.212366 147.09978 \nL 64.872732 147.937034 \nL 63.294468 148.558596 \nL 61.516843 148.935721 \nL 59.589215 149.041439 \nL 57.572583 148.852388 \nL 55.540393 148.351657 \nL 53.57803 147.532555 \nL 51.780333 146.403022 \nL 50.246684 144.989944 \nL 49.073534 143.342411 \nL 48.649172 142.452435 \nL 48.344911 141.532657 \nL 48.167628 140.595314 \nL 48.122189 139.653547 \nL 48.211233 138.72111 \nL 48.435009 137.812038 \nL 48.791308 136.940259 \nL 49.275481 136.119206 \nL 49.88053 135.361443 \nL 50.597309 134.678295 \nL 51.414773 134.079574 \nL 52.320317 133.573307 \nL 53.300124 133.165592 \nL 54.339557 132.860506 \nL 56.536939 132.564523 \nL 58.793116 132.679346 \nL 60.997394 133.173265 \nL 63.054624 133.99614 \nL 64.888626 135.087112 \nL 66.44274 136.381406 \nL 67.678282 137.81546 \nL 68.571818 139.330155 \nL 69.11207 140.872356 \nL 69.29701 142.395147 \nL 69.131504 143.857181 \nL 68.625704 145.22155 \nL 67.794274 146.454475 \nL 66.65642 147.524027 \nL 65.236678 148.399133 \nL 63.566355 149.049032 \nL 61.685423 149.443348 \nL 59.644614 149.553027 \nL 57.507309 149.352286 \nL 55.350663 148.821712 \nL 53.265298 147.952434 \nL 51.352812 146.751141 \nL 49.720529 145.245078 \nL 49.042606 144.392897 \nL 48.473296 143.485932 \nL 48.023578 142.534688 \nL 47.702875 141.55115 \nL 47.518712 140.548597 \nL 47.476398 139.541336 \nL 47.578783 138.544372 \nL 47.82607 137.573023 \nL 48.215741 136.642486 \nL 48.742585 135.767396 \nL 49.398804 134.9614 \nL 50.174241 134.236747 \nL 51.056684 133.603969 \nL 52.032237 133.071604 \nL 53.085727 132.646014 \nL 54.201152 132.331319 \nL 55.362102 132.129403 \nL 57.75539 132.060914 \nL 60.140914 132.416219 \nL 62.408828 133.147376 \nL 64.469397 134.191596 \nL 66.254582 135.479507 \nL 67.716919 136.94164 \nL 68.8267 138.512782 \nL 69.568464 140.134261 \nL 69.937516 141.754579 \nL 69.936973 143.328896 \nL 69.5756 144.817835 \nL 68.866538 146.185978 \nL 67.826952 147.400325 \nL 66.478541 148.428953 \nL 64.848848 149.240044 \nL 62.973188 149.801522 \nL 60.897022 150.081435 \nL 58.678385 150.049395 \nL 56.3899 149.679219 \nL 54.119678 148.952914 \nL 51.970254 147.865851 \nL 50.054774 146.432633 \nL 49.221324 145.597406 \nL 48.489812 144.692534 \nL 47.873628 143.727375 \nL 47.384924 142.713086 \nL 47.034213 141.662518 \nL 46.829943 140.590002 \nL 46.778151 139.511071 \nL 46.882156 138.442079 \nL 47.142366 137.399776 \nL 47.556168 136.400816 \nL 48.117949 135.461258 \nL 48.819236 134.596074 \nL 49.648932 133.818693 \nL 50.593665 133.140611 \nL 51.638218 132.5711 \nL 52.765987 132.117003 \nL 53.959493 131.782656 \nL 55.200864 131.569911 \nL 56.472301 131.478244 \nL 57.756482 131.504972 \nL 60.298266 131.893643 \nL 62.708897 132.681911 \nL 64.893772 133.800334 \nL 66.782376 135.173267 \nL 68.326625 136.725988 \nL 69.497438 138.389277 \nL 70.280659 140.101672 \nL 70.673101 141.809933 \nL 70.679255 143.468266 \nL 70.308888 145.036841 \nL 69.575675 146.480034 \nL 68.496807 147.764643 \nL 67.093581 148.858322 \nL 65.39284 149.728407 \nL 63.429156 150.341375 \nL 61.247521 150.663086 \nL 58.906236 150.660146 \nL 56.479429 150.302615 \nL 54.0585 149.568227 \nL 51.751555 148.448085 \nL 50.678362 147.745863 \nL 49.679777 146.953309 \nL 48.771778 146.076018 \nL 47.970016 145.121559 \nL 47.289371 144.099555 \nL 46.743498 143.02167 \nL 46.344333 141.901501 \nL 46.101639 140.754393 \nL 46.022565 139.597112 \nL 46.111302 138.447455 \nL 46.368827 137.323763 \nL 46.79277 136.244369 \nL 47.377401 135.227036 \nL 48.113778 134.288381 \nL 48.990014 133.443343 \nL 49.991656 132.704745 \nL 51.102163 132.082932 \nL 52.303437 131.585548 \nL 53.576405 131.217422 \nL 54.901558 130.980599 \nL 56.259484 130.874482 \nL 57.631341 130.896052 \nL 58.999246 131.040184 \nL 60.346584 131.299988 \nL 62.920728 132.132457 \nL 65.252787 133.316996 \nL 67.268591 134.771069 \nL 68.918607 136.413983 \nL 70.173868 138.171843 \nL 71.021232 139.979863 \nL 71.458892 141.782683 \nL 71.49265 143.533308 \nL 71.133239 145.191379 \nL 70.39476 146.721095 \nL 69.294223 148.089164 \nL 67.852144 149.262998 \nL 66.094094 150.209285 \nL 64.053081 150.893192 \nL 61.772591 151.2784 \nL 59.309929 151.328281 \nL 56.739376 151.008528 \nL 54.154373 150.291517 \nL 51.667641 149.162436 \nL 50.500962 148.444067 \nL 49.408147 147.62675 \nL 48.406652 146.715612 \nL 47.513781 145.717949 \nL 46.746197 144.643337 \nL 46.119418 143.50367 \nL 45.647251 142.313079 \nL 45.341269 141.087758 \nL 45.210268 139.845656 \nL 45.259873 138.606047 \nL 45.492179 137.388997 \nL 45.905559 136.214768 \nL 46.494629 135.103152 \nL 47.250356 134.072812 \nL 48.160331 133.140672 \nL 49.209199 132.321356 \nL 50.379165 131.626782 \nL 51.650614 131.065855 \nL 53.00275 130.644331 \nL 54.41424 130.364824 \nL 55.863808 130.226948 \nL 57.330797 130.227586 \nL 58.795607 130.361224 \nL 60.240063 130.620362 \nL 61.647664 130.995926 \nL 63.00375 131.477712 \nL 65.512266 132.715789 \nL 67.68601 134.244318 \nL 69.472751 135.975606 \nL 70.842846 137.830104 \nL 71.783755 139.738885 \nL 72.294888 141.643829 \nL 72.383348 143.496377 \nL 72.060861 145.255433 \nL 71.341956 146.885027 \nL 70.243334 148.351945 \nL 68.784411 149.623614 \nL 66.988905 150.666412 \nL 64.887367 151.444531 \nL 62.520511 151.919695 \nL 59.943045 152.052031 \nL 57.22753 151.802433 \nL 54.467463 151.13689 \nL 53.106021 150.640424 \nL 51.778472 150.032841 \nL 50.502395 149.314464 \nL 49.296242 148.487427 \nL 48.17901 147.555946 \nL 47.169822 146.526571 \nL 46.287414 145.408361 \nL 45.549561 144.212985 \nL 44.972459 142.954714 \nL 44.570104 141.650274 \nL 44.353666 140.318577 \nL 44.330946 138.980287 \nL 44.505942 137.657263 \nL 44.878546 136.371894 \nL 45.444427 135.146358 \nL 46.195079 134.001855 \nL 47.118088 132.957872 \nL 48.197548 132.031508 \nL 49.414629 131.236933 \nL 50.748247 130.58501 \nL 52.175816 130.083062 \nL 53.673968 129.734855 \nL 55.219275 129.540712 \nL 56.788884 129.497797 \nL 58.361063 129.600494 \nL 59.915627 129.840859 \nL 61.434255 130.209114 \nL 62.900681 130.694147 \nL 64.300784 131.283976 \nL 65.622595 131.966174 \nL 67.993696 133.557866 \nL 69.957141 135.373115 \nL 71.481387 137.325262 \nL 72.553841 139.339975 \nL 73.174899 141.355427 \nL 73.352991 143.320818 \nL 73.100992 145.19399 \nL 72.434002 146.93872 \nL 71.368457 148.522019 \nL 69.922499 149.911705 \nL 68.117503 151.074343 \nL 65.980659 151.973731 \nL 63.548517 152.570183 \nL 60.871248 152.820933 \nL 58.017232 152.682028 \nL 55.077198 152.112304 \nL 53.610077 151.65529 \nL 52.166798 151.079715 \nL 50.765637 150.384436 \nL 49.426104 149.570079 \nL 48.168648 148.639371 \nL 47.014246 147.597474 \nL 45.983894 146.45225 \nL 45.097993 145.21446 \nL 44.375669 143.897841 \nL 43.83405 142.519063 \nL 43.487539 141.097507 \nL 43.347121 139.654904 \nL 43.419777 138.214752 \nL 43.708033 136.801648 \nL 44.209701 135.440452 \nL 44.917815 134.155407 \nL 45.820824 132.969256 \nL 46.902964 131.902417 \nL 48.14486 130.972272 \nL 49.524238 130.192619 \nL 51.016767 129.573324 \nL 52.596902 129.120206 \nL 54.238744 128.835091 \nL 55.916802 128.716091 \nL 57.606662 128.757987 \nL 59.285535 128.952752 \nL 60.932653 129.29011 \nL 62.529532 129.758122 \nL 64.060107 130.343725 \nL 65.510746 131.033265 \nL 66.870194 131.812921 \nL 68.129425 132.669082 \nL 70.321124 134.559111 \nL 72.050441 136.607505 \nL 73.303658 138.732616 \nL 74.081739 140.867388 \nL 74.394483 142.95771 \nL 74.380737 143.972173 \nL 74.256205 144.9597 \nL 74.022924 145.915898 \nL 73.682951 146.836628 \nL 72.691201 148.555853 \nL 71.297924 150.085988 \nL 69.521902 151.394445 \nL 67.386232 152.445491 \nL 64.921921 153.199006 \nL 62.172474 153.610234 \nL 59.199104 153.630971 \nL 57.653731 153.479648 \nL 56.086001 153.212816 \nL 54.510724 152.825345 \nL 52.944547 152.312991 \nL 51.405922 151.672724 \nL 49.914956 150.903113 \nL 48.493184 150.004729 \nL 47.163223 148.980553 \nL 45.94828 147.836342 \nL 44.871557 146.580955 \nL 43.955528 145.226577 \nL 43.221151 143.788806 \nL 42.687012 142.286581 \nL 42.368478 140.741911 \nL 42.276918 139.179392 \nL 42.419037 137.625542 \nL 42.796389 136.107934 \nL 43.405133 134.654231 \nL 44.236044 133.291133 \nL 45.274785 132.043364 \nL 46.502436 130.932711 \nL 47.896245 129.977265 \nL 49.430516 129.190862 \nL 51.07761 128.582755 \nL 52.808929 128.157578 \nL 54.595885 127.915505 \nL 56.410736 127.852654 \nL 58.227304 127.961615 \nL 60.021524 128.232091 \nL 61.77181 128.651563 \nL 63.459288 129.20598 \nL 65.067864 129.88037 \nL 66.584187 130.659402 \nL 67.997509 131.527844 \nL 69.299486 132.470945 \nL 70.483931 133.474694 \nL 71.546536 134.526009 \nL 72.484606 135.61287 \nL 73.982786 137.850558 \nL 74.979177 140.11307 \nL 75.292428 141.2346 \nL 75.484895 142.34118 \nL 75.558718 143.427322 \nL 75.516118 144.488103 \nL 75.359318 145.519045 \nL 75.090509 146.516005 \nL 74.711812 147.475074 \nL 74.225288 148.392474 \nL 73.632948 149.264473 \nL 72.936799 150.087279 \nL 71.241454 151.569458 \nL 69.157949 152.804893 \nL 66.710712 153.754461 \nL 63.934554 154.373039 \nL 60.880308 154.609713 \nL 59.2707 154.56782 \nL 57.621058 154.409921 \nL 55.944977 154.129393 \nL 54.258107 153.720151 \nL 52.578212 153.176981 \nL 50.925152 152.495934 \nL 49.320764 151.674763 \nL 47.788608 150.713388 \nL 46.353592 149.614389 \nL 45.041446 148.383448 \nL 43.87803 147.029766 \nL 42.888521 145.566336 \nL 42.096487 144.010093 \nL 41.522891 142.381844 \nL 41.185094 140.705984 \nL 41.095924 139.009944 \nL 41.262894 137.323413 \nL 41.687635 135.677327 \nL 42.365595 134.102718 \nL 43.286074 132.629476 \nL 44.432566 131.285138 \nL 45.783414 130.093798 \nL 47.312698 129.075201 \nL 48.99132 128.244122 \nL 50.788161 127.610036 \nL 52.671273 127.177104 \nL 54.608954 126.944453 \nL 56.570721 126.90666 \nL 58.528095 127.054444 \nL 60.455167 127.375423 \nL 62.328988 127.854925 \nL 64.129775 128.476779 \nL 65.840923 129.224016 \nL 67.448917 130.079492 \nL 68.943142 131.026388 \nL 70.315606 132.048608 \nL 71.560639 133.131042 \nL 72.67457 134.259758 \nL 73.655401 135.422081 \nL 74.5025 136.606631 \nL 75.216308 137.803279 \nL 75.79808 139.003084 \nL 76.249662 140.198204 \nL 76.573287 141.381761 \nL 76.771416 142.547737 \nL 76.846607 143.690833 \nL 76.801411 144.806344 \nL 76.638301 145.890031 \nL 76.359615 146.93801 \nL 75.967546 147.946618 \nL 75.464132 148.912318 \nL 74.85128 149.831597 \nL 74.85128 149.831597 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9fca97bdef\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,0], result_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Euler's method for training - benchmark time"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"sigma\": 20*torch.rand(()), \"rho\": 20*torch.rand(()), \"beta\": 20*torch.rand(())} # Start with arbitrary values\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch: 0\t Loss: tensor(1.2093, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.9404, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(10.5588, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.4382, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(0.1849, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.7062, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(15.4156, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.9210, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(0.1927, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(8.8946, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(19.8962, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.5725, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(0.0562, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.5613, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(23.4593, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6274, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(0.0077, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.4414, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(25.6629, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7141, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(0.0116, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.3946, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(25.9312, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6659, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(0.0058, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.3654, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(26.1409, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7030, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(0.0102, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.4023, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(26.4010, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7990, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(0.0055, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.3004, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(26.6028, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6603, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(0.0035, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.2848, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(26.7734, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6892, requires_grad=True)}\n",
-      "Time elapsed:  275.59698009490967\n"
-     ]
-    }
-   ],
-   "source": [
-    "start = time.time()\n",
-    "\n",
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,\n",
-    "    torch.optim.Adam,\n",
-    "    {\"lr\": 0.5},\n",
-    "    max_epochs=10,\n",
-    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    scheduler_params={\"milestones\": [5],\"gamma\": 0.2}\n",
-    ")\n",
-    "\n",
-    "end = time.time()\n",
-    "print(\"Time elapsed: \", end-start)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'sigma': Parameter containing:\n",
-       " tensor(10.2848, requires_grad=True),\n",
-       " 'rho': Parameter containing:\n",
-       " tensor(26.7734, requires_grad=True),\n",
-       " 'beta': Parameter containing:\n",
-       " tensor(2.6892, requires_grad=True)}"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Runge-Kutta method for training"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"sigma\": 20*torch.rand(()), \"rho\": 20*torch.rand(()), \"beta\": 20*torch.rand(())} # Start with arbitrary values\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch: 0\t Loss: tensor(0.1864, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(8.5778, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.2335, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(1.8332, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(0.1115, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.1605, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(22.1723, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.9570, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(0.0108, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.4601, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(25.7092, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7110, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(0.0009, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.3885, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.4616, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6041, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(6.4546e-05, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.1443, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.1095, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7479, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(3.7090e-05, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.1081, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.1261, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6998, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(5.6099e-05, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.0971, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.1131, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6914, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(2.8364e-05, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.0862, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.0929, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7032, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(1.3191e-05, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.0769, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.0706, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7000, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(1.2478e-05, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.0535, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.0544, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6995, requires_grad=True)}\n",
-      "Time elapsed:  302.162636756897\n"
-     ]
-    }
-   ],
-   "source": [
-    "start = time.time()\n",
-    "\n",
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,\n",
-    "    torch.optim.Adam,\n",
-    "    {\"lr\": 0.5},\n",
-    "    max_epochs=10,\n",
-    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    scheduler_params={\"milestones\": [5],\"gamma\": 0.2}\n",
-    ")\n",
-    "\n",
-    "end = time.time()\n",
-    "print(\"Time elapsed: \", end-start)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'sigma': Parameter containing:\n",
-       " tensor(10.0535, requires_grad=True),\n",
-       " 'rho': Parameter containing:\n",
-       " tensor(28.0544, requires_grad=True),\n",
-       " 'beta': Parameter containing:\n",
-       " tensor(2.6995, requires_grad=True)}"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs\n",
-    "\n",
-    "# The parameters are significantly closer, differing by  0.06 at most"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Predictions for nt = 10000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "results_test = ode_solver_train(10000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 9.1754e-01,  2.6679e-01,  1.2654e-03],\n",
-       "        [ 8.6738e-01,  5.1253e-01,  4.6595e-03],\n",
-       "        ...,\n",
-       "        [-5.4541e+00, -8.4214e+00,  1.7792e+01],\n",
-       "        [-5.7615e+00, -8.9102e+00,  1.7798e+01],\n",
-       "        [-6.0874e+00, -9.4245e+00,  1.7859e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "<ipython-input-29-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n",
-      "  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:38:11.814001</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m330d5eceb1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"29.348737\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(18.796393 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"71.768331\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −15 -->\n      <g transform=\"translate(61.215988 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"114.187926\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −10 -->\n      <g transform=\"translate(103.635582 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"156.60752\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −5 -->\n      <g transform=\"translate(149.236426 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"199.027114\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0 -->\n      <g transform=\"translate(195.845864 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.446708\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5 -->\n      <g transform=\"translate(238.265458 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"283.866303\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(277.503803 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"326.285897\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 15 -->\n      <g transform=\"translate(319.923397 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"368.705491\" xlink:href=\"#m330d5eceb1\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(362.342991 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mccc263628a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"211.202667\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.001886)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"161.189334\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 164.988553)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"111.176001\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 114.97522)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"61.162668\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 64.961887)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mccc263628a\" y=\"11.149335\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 14.948554)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p5fa4cf41e2)\" d=\"M 207.511033 261.216 \nL 206.19474 261.166777 \nL 206.208519 261.132263 \nL 207.301553 260.965927 \nL 212.388379 260.269663 \nL 217.75888 259.256623 \nL 222.62645 258.060557 \nL 225.531377 257.218102 \nL 228.795859 256.155499 \nL 232.457885 254.816587 \nL 236.558133 253.131872 \nL 241.139279 251.015939 \nL 246.244868 248.364719 \nL 251.917561 245.052853 \nL 258.196533 240.9316 \nL 265.113767 235.827996 \nL 272.688917 229.546369 \nL 280.92243 221.873775 \nL 289.786775 212.591411 \nL 299.215678 201.494383 \nL 309.091886 188.422098 \nL 319.234552 173.300336 \nL 329.388391 156.19339 \nL 339.217899 137.359739 \nL 348.310901 117.298391 \nL 356.195769 96.766814 \nL 362.375417 76.74969 \nL 366.37711 58.364948 \nL 367.812273 42.712029 \nL 366.434442 30.692414 \nL 362.181511 22.852151 \nL 355.190023 19.296 \nL 345.777382 19.699626 \nL 334.396486 23.410218 \nL 321.575135 29.596216 \nL 307.854578 37.39794 \nL 293.738749 46.043205 \nL 252.904404 71.696425 \nL 240.653113 79.165152 \nL 229.311239 85.903665 \nL 218.92363 91.913931 \nL 200.989959 101.933472 \nL 180.507228 112.950385 \nL 156.0663 126.067647 \nL 148.81924 129.944413 \nL 145.00079 131.819264 \nL 141.709006 133.185586 \nL 138.769434 134.069821 \nL 136.058854 134.487775 \nL 133.497426 134.452127 \nL 131.041924 133.978501 \nL 128.679933 133.090565 \nL 126.424653 131.824378 \nL 124.309871 130.231689 \nL 122.384715 128.381773 \nL 120.70778 126.361286 \nL 119.340677 124.271676 \nL 118.341071 122.223983 \nL 117.755655 120.331274 \nL 117.613878 118.699712 \nL 117.712627 118.010919 \nL 117.923193 117.419569 \nL 118.242654 116.933208 \nL 118.666552 116.557589 \nL 119.188957 116.296604 \nL 119.802578 116.152256 \nL 120.498905 116.124716 \nL 122.10066 116.412125 \nL 123.90895 117.127819 \nL 125.831687 118.220726 \nL 127.776463 119.626092 \nL 129.656124 121.271571 \nL 131.393017 123.082309 \nL 132.921573 124.98469 \nL 134.18953 126.908631 \nL 135.157977 128.788814 \nL 135.800601 130.56502 \nL 136.102557 132.182024 \nL 136.059255 133.589336 \nL 135.675297 134.741043 \nL 134.963788 135.595897 \nL 134.49153 135.900543 \nL 133.331162 136.244721 \nL 131.912027 136.214901 \nL 130.276817 135.794886 \nL 128.477588 134.980603 \nL 126.575993 133.78307 \nL 124.642932 132.231352 \nL 122.757268 130.374969 \nL 121.003275 128.284854 \nL 119.466709 126.05227 \nL 118.229546 123.78503 \nL 117.363764 121.600924 \nL 116.924792 119.618727 \nL 116.8767 118.738194 \nL 116.945724 117.947893 \nL 117.131814 117.258422 \nL 117.43316 116.678652 \nL 117.846175 116.215577 \nL 118.365579 115.874176 \nL 118.984492 115.657386 \nL 119.694613 115.566124 \nL 120.48638 115.599359 \nL 122.271588 116.026299 \nL 124.24694 116.896949 \nL 126.313783 118.15066 \nL 128.375012 119.714435 \nL 130.3408 121.509452 \nL 132.132658 123.456144 \nL 133.685746 125.477681 \nL 134.949645 127.501974 \nL 135.887982 129.46245 \nL 136.477323 131.298133 \nL 136.705774 132.953228 \nL 136.571623 134.376699 \nL 136.082229 135.522024 \nL 135.708927 135.977105 \nL 135.253373 136.347335 \nL 134.71882 136.628333 \nL 134.109045 136.816105 \nL 132.681694 136.898505 \nL 131.012797 136.573511 \nL 129.153534 135.831641 \nL 127.165317 134.678265 \nL 125.119826 133.137021 \nL 123.098065 131.25286 \nL 121.188209 129.0939 \nL 119.481912 126.751194 \nL 118.068974 124.335694 \nL 117.030767 121.971993 \nL 116.433044 119.789061 \nL 116.313938 118.804149 \nL 116.319116 117.909077 \nL 116.449622 117.116191 \nL 116.704566 116.436078 \nL 117.081117 115.877324 \nL 117.574564 115.446387 \nL 118.17838 115.147492 \nL 118.884391 114.982625 \nL 119.682962 114.951603 \nL 120.563203 115.052176 \nL 122.520383 115.629961 \nL 124.653515 116.664534 \nL 126.856553 118.085783 \nL 129.027243 119.812842 \nL 131.072888 121.760812 \nL 132.914125 123.845833 \nL 134.486854 125.98828 \nL 135.742496 128.114349 \nL 136.647184 130.156471 \nL 137.180272 132.053025 \nL 137.332693 133.747679 \nL 137.105436 135.188788 \nL 136.852195 135.799331 \nL 136.508409 136.329115 \nL 136.076614 136.772939 \nL 135.55986 137.125941 \nL 134.961721 137.383616 \nL 134.286309 137.541892 \nL 132.72297 137.546537 \nL 130.914541 137.118729 \nL 128.916082 136.249805 \nL 126.793686 134.947301 \nL 124.624542 133.238834 \nL 122.495908 131.175487 \nL 120.502635 128.833745 \nL 118.742873 126.314982 \nL 117.312047 123.741702 \nL 116.295418 121.250012 \nL 115.760084 118.978918 \nL 115.687047 117.96721 \nL 115.747583 117.057629 \nL 115.941991 116.262749 \nL 116.268475 115.593091 \nL 116.723119 115.056897 \nL 117.299991 114.660006 \nL 117.991253 114.405794 \nL 118.787357 114.295214 \nL 119.677266 114.326865 \nL 120.648716 114.497228 \nL 122.782698 115.230503 \nL 125.077405 116.432978 \nL 127.419388 118.024989 \nL 129.701384 119.917832 \nL 131.828036 122.020729 \nL 133.719372 124.245796 \nL 135.312242 126.510862 \nL 136.560077 128.740612 \nL 137.4316 130.866624 \nL 137.908959 132.82667 \nL 137.985826 134.563841 \nL 137.665754 136.025813 \nL 137.360384 136.638378 \nL 136.961037 137.164413 \nL 136.470531 137.598574 \nL 135.892198 137.935845 \nL 135.229905 138.17159 \nL 134.48808 138.30161 \nL 133.671728 138.322205 \nL 131.838667 138.023483 \nL 129.783952 137.260044 \nL 127.572395 136.031947 \nL 125.280964 134.359147 \nL 122.998296 132.285688 \nL 120.822808 129.882732 \nL 118.858848 127.249403 \nL 117.210806 124.51013 \nL 115.97539 121.807955 \nL 115.232832 119.293724 \nL 115.064801 118.153035 \nL 115.038271 117.112471 \nL 115.155071 116.186883 \nL 115.414732 115.389065 \nL 115.814479 114.729442 \nL 116.349263 114.215866 \nL 117.011867 113.853497 \nL 117.793075 113.644787 \nL 118.681884 113.589564 \nL 119.665802 113.685167 \nL 120.731114 113.926683 \nL 123.046979 114.81831 \nL 125.507881 116.191424 \nL 127.992879 117.956659 \nL 130.389717 120.017517 \nL 132.600522 122.277527 \nL 134.544861 124.644987 \nL 136.160686 127.035379 \nL 137.403525 129.372056 \nL 138.244699 131.58581 \nL 138.669102 133.613843 \nL 138.673026 135.398653 \nL 138.518826 136.183068 \nL 138.262414 136.887048 \nL 137.905856 137.504546 \nL 137.451718 138.02976 \nL 136.903066 138.457186 \nL 136.263485 138.781617 \nL 135.537105 138.998226 \nL 134.72863 139.102614 \nL 133.843381 139.090919 \nL 132.887332 138.959907 \nL 130.790314 138.330953 \nL 128.50025 137.207521 \nL 126.092796 135.600571 \nL 123.656822 133.545227 \nL 121.293196 131.10501 \nL 119.1116 128.37418 \nL 117.224989 125.476622 \nL 115.741887 122.560386 \nL 114.756885 119.787372 \nL 114.474481 118.505493 \nL 114.340787 117.319053 \nL 114.359501 116.245512 \nL 114.531894 115.300311 \nL 114.856711 114.496503 \nL 115.33019 113.844426 \nL 115.946085 113.351521 \nL 116.695852 113.022235 \nL 117.56882 112.858044 \nL 118.552486 112.857596 \nL 119.632823 113.016902 \nL 120.794619 113.329628 \nL 123.298015 114.380314 \nL 125.930995 115.925354 \nL 128.564913 117.865511 \nL 131.08246 120.096493 \nL 133.383207 122.516238 \nL 135.386319 125.029353 \nL 137.030862 127.549117 \nL 138.274469 129.997671 \nL 139.091018 132.305072 \nL 139.468034 134.40796 \nL 139.404269 136.248126 \nL 139.209303 137.052631 \nL 138.907844 137.771426 \nL 138.502183 138.3983 \nL 137.995098 138.927254 \nL 137.389871 139.352544 \nL 136.690296 139.668733 \nL 135.900726 139.870737 \nL 135.0261 139.95391 \nL 134.072005 139.91415 \nL 133.04472 139.748014 \nL 130.799521 139.026901 \nL 128.356694 137.781662 \nL 125.796613 136.024067 \nL 123.214185 133.792285 \nL 120.717594 131.155731 \nL 118.424755 128.217707 \nL 116.457187 125.11411 \nL 114.931244 122.007097 \nL 114.366241 120.507331 \nL 113.947513 119.073166 \nL 113.683353 117.726209 \nL 113.579757 116.486789 \nL 113.64018 115.373401 \nL 113.86539 114.402188 \nL 114.253381 113.586531 \nL 114.799379 112.936763 \nL 115.495948 112.459932 \nL 116.333162 112.159788 \nL 117.298859 112.036826 \nL 118.378969 112.088472 \nL 119.557869 112.309354 \nL 120.818779 112.69167 \nL 122.144164 113.225564 \nL 124.916866 114.700929 \nL 127.735208 116.631309 \nL 130.468587 118.904807 \nL 133.003643 121.410758 \nL 135.247997 124.045471 \nL 137.131161 126.714964 \nL 138.603319 129.335397 \nL 139.632829 131.832143 \nL 140.203229 134.13815 \nL 140.310328 136.19214 \nL 140.191586 137.106691 \nL 139.959843 137.937133 \nL 139.6171 138.676857 \nL 139.165839 139.319433 \nL 138.609011 139.858612 \nL 137.950056 140.288395 \nL 137.192931 140.603049 \nL 136.342153 140.797173 \nL 135.402852 140.865799 \nL 134.380819 140.80449 \nL 133.282581 140.609488 \nL 132.115465 140.277835 \nL 130.887663 139.807587 \nL 128.287468 138.449555 \nL 125.56684 136.547002 \nL 122.82668 134.140211 \nL 120.182713 131.303809 \nL 117.761715 128.149844 \nL 115.694677 124.8265 \nL 114.107009 121.510911 \nL 113.527692 119.916067 \nL 113.106642 118.395571 \nL 112.852572 116.972825 \nL 112.771647 115.669692 \nL 112.867216 114.505927 \nL 113.139645 113.49856 \nL 113.586246 112.661497 \nL 114.2013 112.005156 \nL 114.976181 111.536329 \nL 115.899587 111.258106 \nL 116.957827 111.170029 \nL 118.135207 111.268322 \nL 119.414442 111.546221 \nL 120.777094 111.994415 \nL 122.204045 112.601476 \nL 125.173541 114.238932 \nL 128.172035 116.34307 \nL 131.061585 118.792577 \nL 133.724331 121.469816 \nL 136.065938 124.266392 \nL 138.015949 127.085413 \nL 139.525912 129.841437 \nL 140.566284 132.45894 \nL 141.122921 134.870253 \nL 141.218815 135.979061 \nL 141.193822 137.013434 \nL 141.049165 137.966228 \nL 140.786559 138.830478 \nL 140.408172 139.599363 \nL 139.916621 140.266207 \nL 139.314982 140.824494 \nL 138.606798 141.267889 \nL 137.796131 141.590317 \nL 136.887596 141.785987 \nL 135.886433 141.849519 \nL 134.798568 141.776057 \nL 133.630699 141.561394 \nL 132.390373 141.202173 \nL 131.086068 140.696038 \nL 129.727251 140.041881 \nL 126.889361 138.292586 \nL 123.97443 135.978899 \nL 121.097769 133.159868 \nL 118.389859 129.934559 \nL 115.990682 126.443695 \nL 114.040558 122.865376 \nL 113.274844 121.106579 \nL 112.667824 119.403445 \nL 112.231377 117.782424 \nL 111.974904 116.268997 \nL 111.904974 114.886917 \nL 112.025035 113.657484 \nL 112.335248 112.598938 \nL 112.832401 111.72597 \nL 113.509933 111.049357 \nL 114.358118 110.575799 \nL 115.364293 110.307897 \nL 116.513233 110.244347 \nL 117.787573 110.380205 \nL 119.168284 110.707336 \nL 120.635196 111.214893 \nL 122.167482 111.889854 \nL 125.34455 113.682315 \nL 128.537436 115.957215 \nL 131.599848 118.583305 \nL 134.408562 121.435446 \nL 136.866601 124.40018 \nL 138.903014 127.377506 \nL 140.470338 130.280186 \nL 141.540824 133.031746 \nL 142.102421 135.563892 \nL 142.191992 136.727943 \nL 142.155097 137.813971 \nL 141.993146 138.8147 \nL 141.708006 139.722964 \nL 141.301969 140.531733 \nL 140.777743 141.234063 \nL 140.138466 141.823133 \nL 139.387724 142.292246 \nL 138.529603 142.634898 \nL 137.568741 142.844857 \nL 136.510395 142.91623 \nL 135.360533 142.843617 \nL 134.125915 142.622258 \nL 132.814203 142.248204 \nL 131.434033 141.718535 \nL 129.995132 141.031592 \nL 128.508374 140.187241 \nL 126.985853 139.187133 \nL 125.440921 138.034997 \nL 122.343475 135.3014 \nL 119.346891 132.066962 \nL 116.597111 128.458068 \nL 115.362651 126.565312 \nL 114.247288 124.646627 \nL 113.269342 122.72925 \nL 112.445907 120.841778 \nL 111.792349 119.013402 \nL 111.321807 117.273141 \nL 111.044718 115.648963 \nL 110.968413 114.16693 \nL 111.096791 112.850384 \nL 111.430111 111.719225 \nL 111.964879 110.789374 \nL 112.693926 110.072353 \nL 113.606562 109.575118 \nL 114.688865 109.300053 \nL 115.924118 109.245192 \nL 117.29326 109.404584 \nL 118.775463 109.768766 \nL 120.348689 110.325364 \nL 121.990259 111.059727 \nL 123.677413 111.955532 \nL 127.09987 114.16134 \nL 130.449339 116.799887 \nL 133.582126 119.732388 \nL 136.382785 122.832112 \nL 138.765097 125.987679 \nL 140.669876 129.102915 \nL 142.060996 132.094769 \nL 142.920714 134.890361 \nL 143.14967 136.19379 \nL 143.24522 137.423872 \nL 143.208455 138.573051 \nL 143.040937 139.633895 \nL 142.744652 140.59908 \nL 142.321972 141.461346 \nL 141.775642 142.213481 \nL 141.108807 142.848311 \nL 140.325021 143.358758 \nL 139.428316 143.737859 \nL 138.423248 143.97884 \nL 137.31499 144.075225 \nL 136.109426 144.020956 \nL 134.813253 143.810557 \nL 133.434087 143.439317 \nL 131.980586 142.903524 \nL 130.462552 142.200727 \nL 128.891041 141.330009 \nL 127.278436 140.292307 \nL 125.638517 139.090728 \nL 123.986461 137.730846 \nL 122.338856 136.221015 \nL 120.713597 134.572617 \nL 119.129731 132.800256 \nL 117.607284 130.921837 \nL 116.166926 128.958566 \nL 114.829647 126.934778 \nL 113.61628 124.877612 \nL 112.547019 122.816515 \nL 111.640863 120.782635 \nL 110.915037 118.807983 \nL 110.384412 116.924537 \nL 110.060962 115.16327 \nL 109.953305 113.553153 \nL 110.066278 112.120209 \nL 110.400715 110.886684 \nL 110.953291 109.870388 \nL 111.71657 109.084217 \nL 112.679184 108.535918 \nL 113.826165 108.228133 \nL 115.139399 108.158591 \nL 116.598163 108.320568 \nL 118.179763 108.703447 \nL 119.860169 109.293394 \nL 121.61468 110.07408 \nL 123.418505 111.027427 \nL 125.247363 112.134241 \nL 128.888322 114.729671 \nL 132.369301 117.705871 \nL 135.551595 120.919733 \nL 138.329042 124.245157 \nL 140.626731 127.574129 \nL 142.397055 130.814816 \nL 143.614484 133.888278 \nL 144.012593 135.340253 \nL 144.270211 136.724814 \nL 144.388075 138.034119 \nL 144.367443 139.260509 \nL 144.210011 140.396447 \nL 143.917844 141.434455 \nL 143.49336 142.367054 \nL 142.939299 143.186764 \nL 142.258754 143.886099 \nL 141.455178 144.45756 \nL 140.532456 144.893696 \nL 139.49496 145.187162 \nL 138.347655 145.330805 \nL 137.096192 145.317803 \nL 135.747027 145.141803 \nL 134.307555 144.797158 \nL 132.786241 144.279118 \nL 131.192755 143.584142 \nL 129.538094 142.710201 \nL 127.834693 141.657092 \nL 126.096518 140.426839 \nL 124.339119 139.024049 \nL 122.579624 137.456248 \nL 120.836716 135.734235 \nL 119.130468 133.872329 \nL 117.482182 131.888529 \nL 115.914086 129.804586 \nL 114.448954 127.645865 \nL 113.109652 125.441069 \nL 111.918575 123.221754 \nL 110.897051 121.02168 \nL 110.064692 118.875913 \nL 109.438724 116.819834 \nL 109.033346 114.888033 \nL 108.859165 113.113153 \nL 108.922719 111.524796 \nL 109.226111 110.148496 \nL 109.766858 109.004926 \nL 110.537848 108.109292 \nL 111.527526 107.471019 \nL 112.720245 107.09373 \nL 114.096741 106.975491 \nL 115.634748 107.109251 \nL 117.309709 107.483534 \nL 119.095491 108.083202 \nL 120.965135 108.890293 \nL 122.891561 109.884859 \nL 124.848214 111.045771 \nL 126.809609 112.351403 \nL 130.652696 115.311387 \nL 134.253051 118.601706 \nL 137.478305 122.077125 \nL 140.232077 125.613549 \nL 142.450609 129.10694 \nL 144.097187 132.469844 \nL 144.700367 134.07852 \nL 145.155873 135.627138 \nL 145.463986 137.10752 \nL 145.625614 138.511799 \nL 145.64216 139.832246 \nL 145.515436 141.06124 \nL 145.247587 142.191187 \nL 144.841048 143.214447 \nL 144.298529 144.123322 \nL 143.623016 144.910027 \nL 142.817802 145.566692 \nL 141.88654 146.085381 \nL 140.83332 146.458158 \nL 139.662749 146.67717 \nL 138.380088 146.73473 \nL 136.991362 146.623521 \nL 135.503519 146.336761 \nL 133.924569 145.86843 \nL 132.263751 145.213596 \nL 130.531696 144.368692 \nL 128.74055 143.331933 \nL 126.904127 142.103703 \nL 125.037986 140.686966 \nL 123.159483 139.087724 \nL 121.287759 137.315391 \nL 119.443658 135.38319 \nL 117.649583 133.308385 \nL 115.929208 131.11247 \nL 114.307121 128.821134 \nL 112.808355 126.464071 \nL 111.457815 124.074537 \nL 110.27961 121.688724 \nL 109.29634 119.344826 \nL 108.528336 117.082002 \nL 107.992905 114.939097 \nL 107.703623 112.953332 \nL 107.669738 111.159012 \nL 107.895693 109.58625 \nL 108.380847 108.259975 \nL 109.11936 107.199092 \nL 110.100316 106.41605 \nL 111.308052 105.916678 \nL 112.722656 105.700394 \nL 114.320641 105.760644 \nL 116.075693 106.085685 \nL 117.959529 106.659426 \nL 119.942737 107.462405 \nL 121.995607 108.472787 \nL 124.088868 109.667306 \nL 126.194353 111.022094 \nL 128.285534 112.51339 \nL 132.329485 115.814307 \nL 136.054113 119.400135 \nL 139.333462 123.124692 \nL 142.080552 126.866362 \nL 144.241978 130.525089 \nL 145.093848 132.296801 \nL 145.790915 134.017555 \nL 146.332791 135.678707 \nL 146.719895 137.272054 \nL 146.953281 138.789669 \nL 147.034502 140.223834 \nL 146.96549 141.566898 \nL 146.748476 142.811222 \nL 146.385923 143.949087 \nL 145.880501 144.972652 \nL 145.235083 145.873924 \nL 144.452758 146.644737 \nL 143.536893 147.276752 \nL 142.491189 147.761501 \nL 141.319785 148.090435 \nL 140.027382 148.255035 \nL 138.619364 148.246936 \nL 137.101973 148.058106 \nL 135.482471 147.681085 \nL 133.769321 147.109252 \nL 131.972373 146.337152 \nL 130.103057 145.360901 \nL 128.174535 144.178621 \nL 126.201862 142.790884 \nL 124.202092 141.201248 \nL 122.19432 139.416743 \nL 120.199679 137.448359 \nL 118.241238 135.311425 \nL 116.343785 133.025936 \nL 114.53352 130.616713 \nL 112.837596 128.113338 \nL 111.283561 125.549836 \nL 109.898675 122.964164 \nL 108.709119 120.397324 \nL 107.73915 117.892288 \nL 107.010217 115.492643 \nL 106.54012 113.241113 \nL 106.342208 111.177976 \nL 106.424744 109.339593 \nL 106.790428 107.756997 \nL 107.436146 106.454846 \nL 108.352974 105.450626 \nL 109.526405 104.754316 \nL 110.936834 104.368385 \nL 112.560223 104.288255 \nL 114.368943 104.503013 \nL 116.332709 104.996375 \nL 118.419561 105.747832 \nL 120.596821 106.733794 \nL 122.832004 107.928723 \nL 125.093603 109.306177 \nL 127.351796 110.839684 \nL 129.578921 112.50346 \nL 131.749902 114.27293 \nL 135.83722 118.038821 \nL 139.470295 121.975341 \nL 141.083931 123.964988 \nL 142.55003 125.949579 \nL 143.862171 127.916475 \nL 145.015827 129.854276 \nL 146.008111 131.752642 \nL 146.837501 133.6021 \nL 147.503596 135.393854 \nL 148.00689 137.119616 \nL 148.348568 138.771477 \nL 148.530338 140.341739 \nL 148.554292 141.822809 \nL 148.422778 143.207102 \nL 148.138339 144.486941 \nL 147.703651 145.654492 \nL 147.121499 146.701686 \nL 146.394795 147.620224 \nL 145.526598 148.401511 \nL 144.520187 149.036684 \nL 143.379148 149.516663 \nL 142.107486 149.832184 \nL 140.709768 149.973919 \nL 139.191281 149.932604 \nL 137.558218 149.699273 \nL 135.817879 149.265465 \nL 133.978879 148.623566 \nL 132.051369 147.767167 \nL 130.047254 146.691536 \nL 127.980394 145.394089 \nL 125.866793 143.874957 \nL 123.724721 142.137577 \nL 121.574784 140.189263 \nL 119.439936 138.041817 \nL 117.345365 135.71199 \nL 115.318272 133.221854 \nL 113.387493 130.599009 \nL 111.582997 127.876515 \nL 109.93523 125.092541 \nL 108.474313 122.289727 \nL 107.229149 119.514148 \nL 106.226395 116.813996 \nL 105.489469 114.237988 \nL 105.037543 111.833592 \nL 104.884674 109.645175 \nL 105.03904 107.712248 \nL 105.502446 106.067942 \nL 106.270102 104.737746 \nL 107.330657 103.738763 \nL 108.666553 103.079408 \nL 110.254626 102.759603 \nL 112.066978 102.771394 \nL 114.071959 103.099946 \nL 116.235286 103.724788 \nL 118.521199 104.621166 \nL 120.893538 105.761416 \nL 123.316737 107.116272 \nL 125.756725 108.656027 \nL 128.181607 110.351463 \nL 130.562191 112.174574 \nL 132.872352 114.099096 \nL 135.089237 116.100829 \nL 137.193303 118.157786 \nL 139.16825 120.25018 \nL 141.000862 122.360394 \nL 142.680771 124.472755 \nL 144.200184 126.573382 \nL 145.553573 128.649932 \nL 146.737347 130.691387 \nL 147.749567 132.687788 \nL 148.58962 134.630063 \nL 149.257961 136.509798 \nL 149.755858 138.319048 \nL 150.085186 140.050199 \nL 150.248238 141.695784 \nL 150.24757 143.248388 \nL 150.085902 144.700525 \nL 149.766016 146.044544 \nL 149.290733 147.272527 \nL 148.662871 148.37626 \nL 147.885276 149.347159 \nL 146.960846 150.176247 \nL 145.892626 150.854176 \nL 144.683894 151.371214 \nL 143.338289 151.717328 \nL 141.859978 151.882263 \nL 140.253826 151.855705 \nL 138.525606 151.627459 \nL 136.682241 151.187717 \nL 134.732028 150.527398 \nL 132.684902 149.638546 \nL 130.552708 148.514828 \nL 128.349428 147.152084 \nL 126.091429 145.548968 \nL 123.797628 143.707619 \nL 121.489635 141.634389 \nL 119.191772 139.340534 \nL 116.931006 136.842843 \nL 114.736739 134.164136 \nL 112.640437 131.333572 \nL 110.675077 128.386676 \nL 108.874457 125.365041 \nL 107.272257 122.315636 \nL 105.901036 119.28967 \nL 104.791079 116.341124 \nL 103.969173 113.52486 \nL 103.457472 110.894563 \nL 103.272385 108.500537 \nL 103.423733 106.387575 \nL 103.914098 104.59314 \nL 104.738528 103.145849 \nL 105.884579 102.06459 \nL 107.33272 101.358168 \nL 109.057044 101.025552 \nL 111.026271 101.056688 \nL 113.20493 101.4337 \nL 115.554688 102.132443 \nL 118.035632 103.124099 \nL 120.60759 104.376856 \nL 123.231249 105.857429 \nL 125.869164 107.532385 \nL 128.48652 109.369203 \nL 131.051714 111.337072 \nL 133.536728 113.407431 \nL 135.9173 115.554285 \nL 138.172948 117.754312 \nL 140.286853 119.986801 \nL 142.245634 122.233531 \nL 144.03905 124.478536 \nL 145.659673 126.707848 \nL 147.102506 128.9092 \nL 148.364621 131.071766 \nL 149.4448 133.185872 \nL 150.343189 135.242771 \nL 151.060997 137.234393 \nL 151.60021 139.153144 \nL 151.963358 140.991737 \nL 152.153304 142.743035 \nL 152.173094 144.399885 \nL 152.025816 145.955008 \nL 151.714527 147.400916 \nL 151.242176 148.729777 \nL 150.611608 149.933377 \nL 149.825553 151.003017 \nL 148.886682 151.92952 \nL 147.797675 152.703156 \nL 146.561322 153.31368 \nL 145.180663 153.750351 \nL 143.65915 154.002026 \nL 142.000844 154.057239 \nL 140.210636 153.90441 \nL 138.294502 153.532092 \nL 136.259763 152.929266 \nL 134.115405 152.085764 \nL 131.872362 150.992781 \nL 129.54383 149.64344 \nL 127.145568 148.033523 \nL 124.696146 146.16224 \nL 122.21716 144.033033 \nL 119.733353 141.654469 \nL 117.272628 139.041038 \nL 114.86591 136.213909 \nL 112.546849 133.201431 \nL 110.351312 130.039415 \nL 108.31667 126.771017 \nL 106.480846 123.446213 \nL 104.881211 120.120713 \nL 103.553253 116.854414 \nL 102.529196 113.709378 \nL 101.836591 110.747401 \nL 101.496951 108.027436 \nL 101.524614 105.602978 \nL 101.925858 103.519655 \nL 102.698368 101.813287 \nL 103.831151 100.508561 \nL 105.304842 99.618354 \nL 107.092469 99.143889 \nL 109.160502 99.075569 \nL 111.470242 99.394353 \nL 113.979326 100.073474 \nL 116.643294 101.080536 \nL 119.417128 102.379444 \nL 122.25662 103.932296 \nL 125.119575 105.701023 \nL 127.966769 107.648697 \nL 130.762635 109.740491 \nL 133.47571 111.944352 \nL 136.078871 114.23132 \nL 138.549349 116.575676 \nL 140.868592 118.95485 \nL 143.021996 121.34924 \nL 144.998561 123.741912 \nL 146.790488 126.118272 \nL 148.392745 128.465738 \nL 149.802624 130.773368 \nL 151.01932 133.031565 \nL 152.043539 135.231782 \nL 152.877136 137.366245 \nL 153.522781 139.427742 \nL 153.983691 141.409376 \nL 154.263385 143.304432 \nL 154.365504 145.106202 \nL 154.293645 146.80783 \nL 154.051262 148.402217 \nL 153.641584 149.881893 \nL 153.067583 151.238933 \nL 152.331967 152.464875 \nL 151.437211 153.550636 \nL 150.385617 154.486488 \nL 149.179418 155.262003 \nL 147.820892 155.866069 \nL 146.312527 156.286914 \nL 144.657207 156.512155 \nL 142.858451 156.528944 \nL 140.920657 156.324145 \nL 138.8494 155.884613 \nL 136.651755 155.197527 \nL 134.336638 154.250858 \nL 131.915175 153.033941 \nL 129.401067 151.538181 \nL 126.810944 149.757873 \nL 124.164696 147.691101 \nL 121.485727 145.340773 \nL 118.801128 142.715648 \nL 116.141731 139.831378 \nL 113.541957 136.711382 \nL 111.039467 133.387552 \nL 108.674611 129.900599 \nL 106.489552 126.299919 \nL 104.527154 122.642967 \nL 102.829627 118.993904 \nL 101.436966 115.42168 \nL 100.385262 111.997515 \nL 99.704996 108.791895 \nL 99.419468 105.871395 \nL 99.543445 103.295501 \nL 100.082145 101.11379 \nL 101.030762 99.363694 \nL 102.374409 98.069098 \nL 104.088676 97.239848 \nL 106.140624 96.872242 \nL 108.490204 96.950254 \nL 111.091969 97.447537 \nL 113.896928 98.329711 \nL 116.854418 99.556864 \nL 119.913852 101.085974 \nL 123.026298 102.873035 \nL 126.145751 104.874921 \nL 129.230122 107.050708 \nL 132.241917 109.362621 \nL 135.148608 111.776604 \nL 137.922746 114.262542 \nL 140.541878 116.794211 \nL 142.988273 119.34908 \nL 145.248542 121.907956 \nL 147.31316 124.454592 \nL 149.17598 126.975244 \nL 150.833691 129.458263 \nL 152.285315 131.89368 \nL 153.531734 134.272864 \nL 154.575233 136.588192 \nL 155.419109 138.832738 \nL 156.067331 141.000083 \nL 156.524236 143.084055 \nL 156.79429 145.078577 \nL 156.88189 146.977486 \nL 156.791207 148.774392 \nL 156.526085 150.462578 \nL 156.089961 152.034863 \nL 155.485843 153.483508 \nL 154.716297 154.800101 \nL 153.783494 155.975513 \nL 152.689277 156.999804 \nL 151.435249 157.862165 \nL 150.022923 158.550911 \nL 148.453867 159.05345 \nL 146.729928 159.356351 \nL 144.853459 159.445419 \nL 142.827604 159.305831 \nL 140.656615 158.922389 \nL 138.346203 158.279871 \nL 135.903938 157.363441 \nL 133.33967 156.159259 \nL 130.665973 154.655209 \nL 127.898571 152.8418 \nL 125.056798 150.713175 \nL 122.163955 148.268323 \nL 119.247608 145.512347 \nL 116.339756 142.457734 \nL 113.476817 139.125623 \nL 110.699398 135.546826 \nL 108.05175 131.762544 \nL 105.580944 127.824583 \nL 103.335696 123.794912 \nL 101.364859 119.744455 \nL 99.715636 115.751033 \nL 98.43157 111.89657 \nL 97.550471 108.263552 \nL 97.102422 104.931145 \nL 97.107972 101.971191 \nL 97.576791 99.444491 \nL 98.506815 97.397857 \nL 99.884072 95.861993 \nL 101.683131 94.850753 \nL 103.868231 94.361464 \nL 106.394913 94.376421 \nL 109.212025 94.865214 \nL 112.263983 95.787663 \nL 115.49306 97.09693 \nL 118.841509 98.742534 \nL 122.25348 100.673075 \nL 125.676609 102.838484 \nL 129.063158 105.191625 \nL 132.370854 107.689478 \nL 135.563299 110.293712 \nL 138.610095 112.970904 \nL 141.4867 115.692414 \nL 144.174071 118.434081 \nL 146.658194 121.17572 \nL 148.929491 123.900627 \nL 150.98222 126.594998 \nL 152.813828 129.247425 \nL 154.424366 131.848417 \nL 155.815903 134.389949 \nL 156.992019 136.865118 \nL 157.957344 139.267797 \nL 158.717156 141.592378 \nL 159.27705 143.833519 \nL 159.642645 145.985992 \nL 159.819379 148.044474 \nL 159.812316 150.003405 \nL 159.626031 151.856879 \nL 159.264513 153.598485 \nL 158.731129 155.221232 \nL 158.028601 156.717412 \nL 157.159032 158.078516 \nL 156.123959 159.295128 \nL 154.924432 160.356841 \nL 153.561136 161.252179 \nL 152.034534 161.96856 \nL 150.345062 162.492248 \nL 148.493347 162.80837 \nL 146.48047 162.900978 \nL 144.308279 162.753195 \nL 141.979751 162.347403 \nL 139.499394 161.665602 \nL 136.873704 160.689876 \nL 134.111663 159.402998 \nL 131.225268 157.789284 \nL 128.230079 155.835572 \nL 125.145765 153.532473 \nL 121.996611 150.875753 \nL 118.811937 147.867931 \nL 115.626374 144.519908 \nL 112.479962 140.852606 \nL 109.417946 136.898391 \nL 106.49028 132.702135 \nL 103.75067 128.321704 \nL 101.25526 123.827603 \nL 99.060848 119.30168 \nL 97.222717 114.834708 \nL 95.79219 110.522942 \nL 94.814042 106.463699 \nL 94.323968 102.750426 \nL 94.346372 99.467596 \nL 94.892612 96.685978 \nL 95.959979 94.458898 \nL 97.531474 92.819743 \nL 99.576456 91.781087 \nL 102.052084 91.335411 \nL 104.905452 91.457266 \nL 108.076128 92.106491 \nL 111.498989 93.232031 \nL 115.107011 94.776003 \nL 118.833872 96.677469 \nL 122.616187 98.875702 \nL 126.395291 101.312723 \nL 130.118519 103.935139 \nL 133.740003 106.695265 \nL 137.221046 109.551566 \nL 140.530085 112.468689 \nL 143.642394 115.417101 \nL 146.539557 118.372534 \nL 149.208809 121.315308 \nL 151.642275 124.229598 \nL 153.83623 127.102774 \nL 155.790319 129.924734 \nL 157.506863 132.68734 \nL 158.990187 135.383962 \nL 160.246052 138.009031 \nL 161.281137 140.557718 \nL 162.102601 143.025646 \nL 162.717732 145.408674 \nL 163.13364 147.702682 \nL 163.357034 149.903424 \nL 163.39403 152.006369 \nL 163.250024 154.006595 \nL 162.929612 155.898646 \nL 162.436533 157.676435 \nL 161.773646 159.333113 \nL 160.942962 160.860973 \nL 159.945674 162.251314 \nL 158.782235 163.494359 \nL 157.452472 164.57911 \nL 155.955697 165.493279 \nL 154.29089 166.223177 \nL 152.456899 166.753657 \nL 150.452679 167.068081 \nL 148.277595 167.148364 \nL 145.931765 166.975035 \nL 143.41646 166.527471 \nL 140.734566 165.784179 \nL 137.89113 164.723306 \nL 134.893931 163.323311 \nL 131.754134 161.563865 \nL 128.486981 159.427027 \nL 125.112471 156.898706 \nL 121.656057 153.970365 \nL 118.149212 150.64102 \nL 114.629907 146.919344 \nL 111.142804 142.825865 \nL 107.739174 138.394942 \nL 104.476375 133.676344 \nL 101.416835 128.736119 \nL 98.626464 123.656421 \nL 96.172503 118.534044 \nL 94.12083 113.477478 \nL 92.532862 108.602464 \nL 91.462259 104.026316 \nL 90.951667 99.861396 \nL 91.029865 96.208403 \nL 91.709541 93.150241 \nL 92.986041 90.747181 \nL 94.837198 89.033963 \nL 97.224319 88.018964 \nL 100.094176 87.685738 \nL 103.381863 87.996241 \nL 107.014198 88.895491 \nL 110.913322 90.316806 \nL 115.000203 92.187117 \nL 119.1978 94.431673 \nL 123.433675 96.978014 \nL 127.641993 99.75883 \nL 131.764834 102.713796 \nL 135.752921 105.790511 \nL 139.5658 108.944686 \nL 143.171581 112.139784 \nL 146.546382 115.346291 \nL 149.673537 118.540836 \nL 152.542686 121.705217 \nL 155.14882 124.825432 \nL 157.491317 127.890853 \nL 159.573043 130.89342 \nL 161.399511 133.827027 \nL 162.978145 136.686971 \nL 164.317617 139.469534 \nL 165.427306 142.171603 \nL 166.316821 144.790442 \nL 166.995635 147.323447 \nL 167.472775 149.767975 \nL 167.756592 152.121193 \nL 167.854581 154.379963 \nL 167.773259 156.540716 \nL 167.518082 158.59937 \nL 167.093393 160.551203 \nL 166.502412 162.39074 \nL 165.747244 164.111647 \nL 164.828913 165.706615 \nL 163.747432 167.167233 \nL 162.501863 168.483816 \nL 161.090438 169.64531 \nL 159.510699 170.639123 \nL 157.759635 171.450973 \nL 155.833909 172.064788 \nL 153.730078 172.462576 \nL 151.444906 172.624382 \nL 148.975702 172.528283 \nL 146.320743 172.15046 \nL 143.479779 171.465463 \nL 140.454613 170.446534 \nL 137.249765 169.066276 \nL 133.873248 167.297492 \nL 130.337385 165.114388 \nL 126.659734 162.494175 \nL 122.863979 159.419024 \nL 118.980851 155.87846 \nL 115.048894 151.872075 \nL 111.115028 147.412506 \nL 107.234812 142.528353 \nL 103.472214 137.266893 \nL 99.898773 131.696017 \nL 96.592032 125.905031 \nL 93.633192 120.003838 \nL 91.103961 114.120111 \nL 89.08271 108.394307 \nL 87.640144 102.972625 \nL 86.834922 97.998431 \nL 86.709529 93.602957 \nL 87.28692 89.896486 \nL 88.568372 86.960962 \nL 90.532801 84.845243 \nL 93.137649 83.56345 \nL 96.321311 83.096482 \nL 100.006738 83.396455 \nL 104.105885 84.393005 \nL 108.524525 86.000642 \nL 113.166871 88.126109 \nL 117.939795 90.674968 \nL 122.756224 93.556825 \nL 127.537709 96.689107 \nL 132.216039 99.999258 \nL 136.734051 103.425741 \nL 141.045738 106.917921 \nL 145.11579 110.435323 \nL 148.918746 113.946467 \nL 152.437905 117.427506 \nL 155.664101 120.860819 \nL 158.594454 124.233758 \nL 161.231143 127.53746 \nL 163.580282 130.765936 \nL 165.650892 133.915227 \nL 167.454009 136.982813 \nL 169.001918 139.967122 \nL 170.307512 142.86716 \nL 171.383769 145.682223 \nL 172.243327 148.411708 \nL 172.898166 151.054939 \nL 173.359347 153.611067 \nL 173.636836 156.078967 \nL 173.739374 158.457139 \nL 173.674392 160.743659 \nL 173.447968 162.936082 \nL 173.064802 165.031358 \nL 172.528226 167.025775 \nL 171.840221 168.914811 \nL 171.00146 170.693058 \nL 170.011353 172.354076 \nL 168.868109 173.890245 \nL 167.568818 175.292615 \nL 166.109538 176.550714 \nL 164.485406 177.652349 \nL 162.690773 178.583431 \nL 160.719374 179.327734 \nL 158.564521 179.866684 \nL 156.219379 180.179191 \nL 153.677265 180.241454 \nL 150.932036 180.026906 \nL 147.978596 179.506185 \nL 144.813458 178.647315 \nL 141.435465 177.416032 \nL 137.846622 175.776467 \nL 134.053085 173.692133 \nL 130.066251 171.127372 \nL 125.903995 168.049388 \nL 121.591969 164.430869 \nL 117.164882 160.253234 \nL 112.667711 155.510511 \nL 108.15664 150.213632 \nL 103.699576 144.394877 \nL 99.376004 138.111979 \nL 95.275983 131.451248 \nL 91.498077 124.528999 \nL 88.146035 117.490388 \nL 85.324327 110.505132 \nL 83.132585 103.759788 \nL 81.659403 97.44685 \nL 80.976062 91.751591 \nL 81.1308 86.83821 \nL 82.14446 82.837109 \nL 84.008084 79.835344 \nL 86.682789 77.871472 \nL 90.102074 76.93563 \nL 94.176196 76.974512 \nL 98.798079 77.900033 \nL 103.850018 79.600124 \nL 109.210423 81.95007 \nL 114.759984 84.822674 \nL 120.386781 88.096499 \nL 125.99005 91.661636 \nL 131.482648 95.423072 \nL 136.792209 99.301917 \nL 141.861288 103.235146 \nL 146.646693 107.174175 \nL 151.118256 111.082926 \nL 155.257267 114.935672 \nL 159.054769 118.714899 \nL 162.509812 122.409388 \nL 165.627815 126.012586 \nL 168.419044 129.52126 \nL 170.897285 132.934445 \nL 173.078698 136.252667 \nL 174.980845 139.477318 \nL 176.621914 142.610277 \nL 178.020075 145.653595 \nL 179.193004 148.609324 \nL 180.157497 151.479371 \nL 180.929205 154.265453 \nL 181.522439 156.96902 \nL 181.950055 159.591246 \nL 182.223369 162.132989 \nL 182.352134 164.594783 \nL 182.344533 166.976809 \nL 182.207202 169.278897 \nL 181.945256 171.500453 \nL 181.562332 173.64043 \nL 181.060635 175.697291 \nL 180.440988 177.668909 \nL 179.702868 179.552489 \nL 178.844452 181.344491 \nL 177.862662 183.040476 \nL 176.753196 184.634987 \nL 175.510572 186.121365 \nL 174.128162 187.491569 \nL 172.598238 188.73594 \nL 170.912029 189.842965 \nL 169.059784 190.798968 \nL 167.030875 191.58781 \nL 164.813921 192.190536 \nL 162.396968 192.585009 \nL 159.767714 192.745527 \nL 156.913837 192.642478 \nL 153.82341 192.24201 \nL 150.485455 191.505806 \nL 146.890629 190.391045 \nL 143.032134 188.850564 \nL 138.906801 186.833454 \nL 134.516446 184.286116 \nL 129.869457 181.154058 \nL 124.98262 177.384524 \nL 119.88318 172.930249 \nL 114.610958 167.754347 \nL 109.22048 161.836422 \nL 103.782807 155.179746 \nL 98.386787 147.819023 \nL 93.139299 139.827886 \nL 88.164118 131.325005 \nL 83.598887 122.477213 \nL 79.59001 113.498016 \nL 76.285341 104.64014 \nL 73.824972 96.181502 \nL 72.330924 88.405248 \nL 71.896799 81.575958 \nL 72.578837 75.915499 \nL 74.389717 71.582526 \nL 77.296177 68.659307 \nL 81.220925 67.14815 \nL 86.048543 66.977702 \nL 91.634554 68.01716 \nL 97.816233 70.095351 \nL 104.423736 73.020974 \nL 111.290285 76.60082 \nL 118.260478 80.654044 \nL 125.196252 85.021625 \nL 131.980493 89.571101 \nL 138.518503 94.197502 \nL 144.737751 98.82171 \nL 150.586397 103.387126 \nL 156.031044 107.855681 \nL 161.054082 112.203821 \nL 165.65094 116.418821 \nL 169.82743 120.495693 \nL 173.597308 124.434655 \nL 176.980136 128.239228 \nL 179.999466 131.914829 \nL 182.681328 135.467793 \nL 185.053014 138.904703 \nL 187.142126 142.232006 \nL 188.975846 145.45575 \nL 190.580406 148.581488 \nL 191.980711 151.614237 \nL 193.200092 154.558481 \nL 195.180785 160.197086 \nL 196.674193 165.524587 \nL 197.804665 170.563171 \nL 198.671947 175.331412 \nL 199.647217 182.011435 \nL 202.312276 202.297576 \nL 203.258897 206.829004 \nL 204.032595 209.634571 \nL 204.957274 212.271124 \nL 206.070606 214.738055 \nL 207.417668 217.030346 \nL 209.053024 219.136639 \nL 211.043108 221.036374 \nL 212.195838 221.898818 \nL 213.468924 222.695477 \nL 214.87526 223.418937 \nL 216.429033 224.059982 \nL 218.145813 224.60722 \nL 220.042653 225.046613 \nL 222.138144 225.36094 \nL 224.452462 225.529134 \nL 227.007369 225.525538 \nL 229.82614 225.319012 \nL 232.933414 224.871949 \nL 236.354906 224.13917 \nL 240.116942 223.066768 \nL 244.245766 221.590945 \nL 248.766517 219.63697 \nL 253.701822 217.118465 \nL 259.069844 213.937275 \nL 264.881728 209.984357 \nL 271.138321 205.142244 \nL 277.826045 199.289744 \nL 284.912003 192.309715 \nL 292.338369 184.100687 \nL 300.016467 174.59288 \nL 307.821082 163.768499 \nL 315.586125 151.685181 \nL 323.10289 138.499655 \nL 330.122664 124.486816 \nL 336.365195 110.047599 \nL 341.534144 95.6987 \nL 345.339374 82.038976 \nL 347.524304 69.69245 \nL 347.894527 59.234988 \nL 346.342612 51.118811 \nL 342.863996 45.612582 \nL 337.560139 42.771935 \nL 330.628111 42.447333 \nL 322.338802 44.324759 \nL 313.008357 47.986643 \nL 302.968203 52.976701 \nL 292.538505 58.855401 \nL 282.007986 65.23829 \nL 271.621355 71.81578 \nL 252.010368 84.705245 \nL 234.696037 96.476667 \nL 220.040974 106.832087 \nL 213.704133 111.495281 \nL 207.989349 115.846283 \nL 202.854732 119.912432 \nL 198.252465 123.720744 \nL 194.131612 127.296183 \nL 190.440249 130.660794 \nL 184.142205 136.829298 \nL 178.971404 142.337959 \nL 168.844852 153.567292 \nL 165.235892 157.060712 \nL 163.424018 158.580368 \nL 161.580172 159.939802 \nL 159.686555 161.130562 \nL 157.727207 162.142738 \nL 155.687929 162.964929 \nL 153.556265 163.584267 \nL 151.321519 163.986444 \nL 148.974836 164.155756 \nL 146.509362 164.075273 \nL 143.920446 163.727023 \nL 141.205922 163.092345 \nL 138.366466 162.152354 \nL 135.406016 160.88856 \nL 132.332232 159.283728 \nL 129.157013 157.322918 \nL 125.897021 154.994798 \nL 122.574187 152.293129 \nL 119.216158 149.218493 \nL 115.856608 145.780115 \nL 112.535352 141.997673 \nL 109.298177 137.90303 \nL 106.196362 133.541487 \nL 103.285727 128.972522 \nL 100.62523 124.269625 \nL 98.275084 119.519042 \nL 96.294441 114.817337 \nL 94.738691 110.267708 \nL 93.656631 105.975211 \nL 93.087631 102.041314 \nL 93.059118 98.558158 \nL 93.584549 95.603288 \nL 94.662224 93.235275 \nL 96.274934 91.490902 \nL 98.390622 90.384116 \nL 100.963915 89.906712 \nL 103.938444 90.030819 \nL 107.249667 90.712439 \nL 110.827963 91.895806 \nL 114.601694 93.517905 \nL 118.500098 95.512627 \nL 122.455688 97.814437 \nL 126.406205 100.36116 \nL 130.296009 103.09593 \nL 134.076884 105.968314 \nL 137.708402 108.934774 \nL 141.157866 111.958585 \nL 144.399936 115.009411 \nL 147.416028 118.062603 \nL 150.193564 121.098452 \nL 152.72516 124.101352 \nL 155.007776 127.059037 \nL 157.041896 129.961908 \nL 158.830764 132.802393 \nL 160.379686 135.574433 \nL 161.695399 138.273069 \nL 162.785538 140.894073 \nL 163.658177 143.43366 \nL 164.321452 145.888271 \nL 164.783261 148.254358 \nL 165.050996 150.528247 \nL 165.131392 152.70599 \nL 165.030365 154.783217 \nL 164.752924 156.755064 \nL 164.303135 158.616016 \nL 163.68408 160.359817 \nL 162.89788 161.979359 \nL 161.945723 163.466543 \nL 160.827941 164.812174 \nL 159.54409 166.005834 \nL 158.093077 167.035762 \nL 156.4733 167.888737 \nL 154.68285 168.549962 \nL 152.719719 169.00303 \nL 150.582088 169.229855 \nL 148.268634 169.21071 \nL 145.77892 168.924331 \nL 143.113848 168.348149 \nL 140.276165 167.458629 \nL 137.271068 166.231877 \nL 134.106857 164.644359 \nL 130.795662 162.67399 \nL 127.354199 160.301494 \nL 123.80457 157.512082 \nL 120.174978 154.297438 \nL 116.500393 150.658 \nL 112.823016 146.605406 \nL 109.192469 142.164926 \nL 105.665583 137.377654 \nL 102.305725 132.302162 \nL 99.181491 127.015204 \nL 96.364775 121.61115 \nL 93.928194 116.199876 \nL 91.941903 110.902882 \nL 90.470016 105.847766 \nL 89.56691 101.161334 \nL 89.273671 96.962083 \nL 89.615115 93.352665 \nL 90.597698 90.413439 \nL 92.208571 88.197807 \nL 94.415921 86.729997 \nL 97.170596 86.005316 \nL 100.408831 85.992915 \nL 104.055746 86.640385 \nL 108.02933 87.8795 \nL 112.244444 89.632305 \nL 116.616578 91.816935 \nL 121.065074 94.35244 \nL 125.515657 97.162637 \nL 129.902241 100.178597 \nL 134.168004 103.340136 \nL 138.265791 106.596218 \nL 142.158018 109.904758 \nL 145.816138 113.231879 \nL 149.219861 116.550912 \nL 152.356155 119.841307 \nL 155.218204 123.087517 \nL 157.804333 126.277969 \nL 160.116994 129.404165 \nL 162.161802 132.459923 \nL 163.946694 135.44075 \nL 165.481171 138.343316 \nL 166.775672 141.165065 \nL 167.841035 143.903899 \nL 168.688052 146.557948 \nL 169.32713 149.125371 \nL 169.768009 151.604202 \nL 170.019553 153.992229 \nL 170.089604 156.286895 \nL 169.984873 158.485175 \nL 169.710879 160.583513 \nL 169.271907 162.577691 \nL 168.671019 164.46275 \nL 167.910058 166.23285 \nL 166.989694 167.881191 \nL 165.909485 169.399817 \nL 164.667945 170.779531 \nL 163.26265 172.009699 \nL 161.690358 173.078099 \nL 159.947162 173.970757 \nL 158.028665 174.67177 \nL 155.930207 175.163177 \nL 153.647142 175.42482 \nL 151.175163 175.434302 \nL 148.510714 175.166954 \nL 145.65146 174.59599 \nL 142.596872 173.692763 \nL 139.348903 172.427252 \nL 135.912761 170.768819 \nL 132.297805 168.687308 \nL 128.51852 166.154513 \nL 124.595528 163.146137 \nL 120.556682 159.644237 \nL 116.438036 155.640102 \nL 112.28468 151.137521 \nL 108.151308 146.156306 \nL 104.102317 140.735616 \nL 100.211324 134.936865 \nL 96.559895 128.845506 \nL 93.235387 122.571232 \nL 90.327826 116.246027 \nL 87.925914 110.019677 \nL 86.112324 104.05273 \nL 84.958627 98.507238 \nL 84.520335 93.536182 \nL 84.832579 89.272712 \nL 85.907009 85.820674 \nL 87.730268 83.247776 \nL 90.264296 81.582254 \nL 93.448485 80.813426 \nL 97.203421 80.895884 \nL 101.435695 81.756346 \nL 106.043371 83.302092 \nL 110.92138 85.429716 \nL 115.966507 88.033063 \nL 121.081547 91.009778 \nL 126.178414 94.266052 \nL 131.180242 97.719464 \nL 136.022437 101.300255 \nL 140.652921 104.951388 \nL 145.031698 108.627676 \nL 149.129926 112.294397 \nL 152.928703 115.925669 \nL 156.417679 119.502834 \nL 159.593639 123.01291 \nL 162.459114 126.447225 \nL 165.021101 129.800313 \nL 167.289899 133.068987 \nL 169.278105 136.251618 \nL 170.999746 139.347602 \nL 172.469571 142.356932 \nL 173.702453 145.279922 \nL 174.71294 148.116982 \nL 175.514875 150.868465 \nL 176.12114 153.534553 \nL 176.543448 156.115187 \nL 176.792207 158.609997 \nL 176.876431 161.018228 \nL 176.803692 163.338716 \nL 176.580094 165.569812 \nL 176.210281 167.709293 \nL 175.697454 169.754335 \nL 175.0434 171.701379 \nL 174.248534 173.546048 \nL 173.311946 175.283028 \nL 172.231458 176.905909 \nL 171.003679 178.407059 \nL 169.624086 179.777415 \nL 168.087099 181.006295 \nL 166.386184 182.081148 \nL 164.513975 182.987357 \nL 162.462428 183.70794 \nL 160.223013 184.223319 \nL 157.78697 184.511043 \nL 155.145604 184.54558 \nL 152.290703 184.298131 \nL 149.215018 183.736558 \nL 145.912885 182.825475 \nL 142.380987 181.52651 \nL 138.619267 179.798927 \nL 134.632008 177.600617 \nL 130.429088 174.889638 \nL 126.02739 171.626362 \nL 121.452336 167.776412 \nL 116.739438 163.314363 \nL 111.935809 158.228292 \nL 107.101401 152.524877 \nL 102.309795 146.234881 \nL 97.648258 139.418346 \nL 93.216786 132.168736 \nL 89.125859 124.615119 \nL 85.492723 116.921246 \nL 82.436169 109.280736 \nL 80.06997 101.907907 \nL 78.495482 95.024559 \nL 77.79405 88.843807 \nL 78.020142 83.553071 \nL 79.196129 79.298511 \nL 81.309544 76.17367 \nL 84.313152 74.213766 \nL 88.128017 73.396745 \nL 92.649056 73.650261 \nL 97.752331 74.863182 \nL 103.303187 76.899266 \nL 109.164232 79.610904 \nL 115.202419 82.85117 \nL 121.294742 86.483044 \nL 127.332233 90.38547 \nL 133.222376 94.456399 \nL 138.89 98.613429 \nL 144.277036 102.792724 \nL 149.34141 106.946835 \nL 154.055376 111.042089 \nL 158.403569 115.055839 \nL 162.380928 118.973929 \nL 165.990705 122.788489 \nL 169.242594 126.496114 \nL 172.151073 130.096441 \nL 174.733956 133.591034 \nL 177.011187 136.982642 \nL 179.003841 140.274573 \nL 180.733324 143.470377 \nL 182.220753 146.573564 \nL 183.486478 149.587473 \nL 184.549743 152.515204 \nL 185.42844 155.359552 \nL 186.138951 158.123035 \nL 186.696065 160.807868 \nL 187.112932 163.415985 \nL 187.570387 168.408523 \nL 187.584445 173.110971 \nL 187.204236 177.529559 \nL 186.456874 181.666051 \nL 185.349338 185.516808 \nL 184.657554 187.332048 \nL 183.86995 189.071203 \nL 182.982307 190.731454 \nL 181.989333 192.309195 \nL 180.884656 193.799866 \nL 179.660838 195.197815 \nL 178.309351 196.496088 \nL 176.820587 197.686195 \nL 175.183858 198.757843 \nL 173.387398 199.698622 \nL 171.4184 200.49365 \nL 169.26307 201.125165 \nL 166.90672 201.572061 \nL 164.333912 201.809408 \nL 161.528694 201.807901 \nL 158.47489 201.533346 \nL 155.156563 200.946131 \nL 151.558611 200.000822 \nL 147.667558 198.64589 \nL 143.472602 196.823753 \nL 138.966957 194.471245 \nL 134.149484 191.520754 \nL 129.026733 187.902269 \nL 123.615316 183.546626 \nL 117.944617 178.390251 \nL 112.059713 172.381645 \nL 106.024309 165.489702 \nL 99.923394 157.713695 \nL 93.865077 149.094244 \nL 87.981167 139.724137 \nL 82.425651 129.757071 \nL 77.370589 119.411906 \nL 72.998876 108.969879 \nL 69.493875 98.762604 \nL 67.026476 89.150247 \nL 65.740727 80.491189 \nL 65.739959 73.107304 \nL 67.075523 67.250469 \nL 69.740106 63.077012 \nL 73.666925 60.63505 \nL 78.735078 59.866851 \nL 84.780093 60.625034 \nL 91.60796 62.698093 \nL 99.010401 65.839647 \nL 106.779335 69.795989 \nL 114.718972 74.328066 \nL 122.654627 79.226222 \nL 130.438158 84.317702 \nL 137.950243 89.468153 \nL 145.100203 94.579074 \nL 151.824033 99.582849 \nL 158.081341 104.436734 \nL 163.85178 109.117013 \nL 169.131364 113.613699 \nL 173.928958 117.926162 \nL 178.263121 122.059716 \nL 182.159377 126.023089 \nL 185.647921 129.826613 \nL 188.761764 133.481046 \nL 191.535254 136.996779 \nL 194.002957 140.383445 \nL 196.19881 143.649668 \nL 198.155527 146.803012 \nL 201.474034 152.796193 \nL 204.184114 158.404101 \nL 207.524474 166.153054 \nL 211.423112 175.321844 \nL 213.410919 179.414055 \nL 215.563086 183.165775 \nL 216.730833 184.907248 \nL 217.975443 186.553824 \nL 219.308807 188.100214 \nL 220.743019 189.539873 \nL 222.290476 190.864799 \nL 223.963956 192.065299 \nL 225.776677 193.129712 \nL 227.742329 194.044114 \nL 229.875073 194.791961 \nL 232.189478 195.353711 \nL 234.700423 195.706421 \nL 237.422912 195.823311 \nL 240.371805 195.673358 \nL 243.561426 195.220909 \nL 247.005028 194.4254 \nL 250.714097 193.241226 \nL 254.697427 191.617883 \nL 258.959978 189.50049 \nL 263.501442 186.830888 \nL 268.314534 183.549488 \nL 273.382994 179.598106 \nL 278.679359 174.923979 \nL 284.162551 169.485174 \nL 289.775521 163.257365 \nL 295.443161 156.24185 \nL 301.07084 148.474353 \nL 306.544015 140.033582 \nL 311.729478 131.048204 \nL 316.478648 121.700476 \nL 320.633274 112.224521 \nL 324.033691 102.897704 \nL 326.529134 94.024403 \nL 327.989346 85.912976 \nL 328.316081 78.8486 \nL 327.452928 73.065999 \nL 325.391853 68.72694 \nL 322.175285 65.90667 \nL 317.893324 64.591622 \nL 312.676493 64.688388 \nL 306.685169 66.041288 \nL 300.097286 68.454727 \nL 293.096032 71.715961 \nL 285.858896 75.615011 \nL 278.548999 79.95945 \nL 271.309152 84.583562 \nL 264.25856 89.352251 \nL 257.491792 94.161062 \nL 251.079551 98.933434 \nL 245.070657 103.61647 \nL 239.494744 108.176306 \nL 234.365274 112.593587 \nL 229.682567 116.859517 \nL 225.436661 120.972543 \nL 221.609874 124.93582 \nL 218.179016 128.755303 \nL 215.11726 132.438364 \nL 212.395636 135.992883 \nL 209.98425 139.426645 \nL 207.853201 142.747013 \nL 205.973274 145.960722 \nL 204.316439 149.07382 \nL 202.856178 152.091679 \nL 200.428033 157.860056 \nL 198.512472 163.297221 \nL 196.961807 168.427496 \nL 195.059553 175.588143 \nL 192.267964 186.205521 \nL 191.07693 190.015655 \nL 189.752045 193.580567 \nL 188.234215 196.896599 \nL 186.461168 199.953187 \nL 185.457825 201.378366 \nL 184.36428 202.730193 \nL 183.170464 204.004021 \nL 181.865542 205.194038 \nL 180.437829 206.293025 \nL 178.874708 207.292113 \nL 177.162569 208.180454 \nL 175.28676 208.944856 \nL 173.231551 209.569355 \nL 170.980142 210.034715 \nL 168.514709 210.317865 \nL 165.816514 210.391265 \nL 162.866103 210.222219 \nL 159.643612 209.772156 \nL 156.129214 208.995896 \nL 152.303774 207.841008 \nL 148.149739 206.247327 \nL 143.652317 204.146777 \nL 138.801057 201.463724 \nL 133.591827 198.116126 \nL 128.029288 194.017834 \nL 122.129868 189.08246 \nL 115.925211 183.229244 \nL 109.465958 176.391331 \nL 102.825622 168.526638 \nL 96.104143 159.631111 \nL 89.430441 149.753523 \nL 82.963234 139.010131 \nL 76.889059 127.596327 \nL 71.416677 115.791861 \nL 66.767211 103.955629 \nL 63.160055 92.507236 \nL 60.795362 81.894685 \nL 59.835231 72.551107 \nL 60.38614 64.847141 \nL 62.485906 59.048381 \nL 66.097544 55.28683 \nL 71.111577 53.552607 \nL 77.3563 53.706896 \nL 84.614109 55.511709 \nL 92.641029 58.668755 \nL 101.18631 62.858658 \nL 110.009447 67.77408 \nL 118.89317 73.142791 \nL 127.651702 78.740158 \nL 136.134666 84.392623 \nL 144.227406 89.974804 \nL 151.848775 95.402696 \nL 158.94731 100.625493 \nL 165.496669 105.617354 \nL 171.49091 110.370084 \nL 176.940005 114.887165 \nL 181.865827 119.179128 \nL 186.298712 123.260226 \nL 190.27461 127.146064 \nL 193.832807 130.852143 \nL 197.014137 134.392926 \nL 199.85963 137.781347 \nL 202.409525 141.028634 \nL 206.775609 147.136067 \nL 210.397733 152.771849 \nL 219.115416 167.10062 \nL 221.916656 171.016096 \nL 223.381749 172.799781 \nL 224.911143 174.459979 \nL 226.519947 175.989432 \nL 228.22273 177.379363 \nL 230.033623 178.619308 \nL 231.966376 179.696894 \nL 234.034384 180.597651 \nL 236.250663 181.304765 \nL 238.62776 181.798857 \nL 241.177613 182.057787 \nL 243.911313 182.056461 \nL 246.838769 181.766748 \nL 249.968282 181.157464 \nL 253.305975 180.194559 \nL 256.855087 178.841497 \nL 260.615116 177.059997 \nL 264.5808 174.81111 \nL 268.740932 172.05689 \nL 273.077077 168.76264 \nL 277.562176 164.899821 \nL 282.159164 160.449725 \nL 286.819706 155.407763 \nL 291.483234 149.788246 \nL 296.076467 143.629254 \nL 300.513693 136.997036 \nL 304.698029 129.989219 \nL 308.52393 122.735928 \nL 311.880988 115.397937 \nL 314.659086 108.161176 \nL 316.754636 101.227479 \nL 318.0774 94.801854 \nL 318.557271 89.077691 \nL 318.150202 84.221603 \nL 316.842479 80.360157 \nL 314.652686 77.570641 \nL 311.631044 75.877112 \nL 307.856204 75.252232 \nL 303.429886 75.624283 \nL 298.470054 76.887781 \nL 293.103549 78.915795 \nL 287.458879 81.572143 \nL 281.659932 84.721901 \nL 275.820943 88.239417 \nL 270.042951 92.013559 \nL 264.411745 95.950346 \nL 258.997083 99.973502 \nL 253.85296 104.023482 \nL 249.018626 108.055577 \nL 244.520108 112.037561 \nL 240.372003 115.947323 \nL 236.579355 119.770555 \nL 233.139491 123.498822 \nL 230.043738 127.127901 \nL 227.278956 130.656473 \nL 224.828867 134.085131 \nL 222.67519 137.415649 \nL 220.798573 140.65044 \nL 219.179344 143.792204 \nL 217.798101 146.843669 \nL 216.636161 149.807468 \nL 215.675903 152.686024 \nL 214.900993 155.481512 \nL 214.296552 158.19582 \nL 213.849243 160.830561 \nL 213.547327 163.387052 \nL 213.38066 165.866313 \nL 213.340692 168.269068 \nL 213.420421 170.595709 \nL 213.614353 172.846304 \nL 213.918451 175.020555 \nL 214.330082 177.117758 \nL 214.847967 179.136747 \nL 215.472132 181.075836 \nL 216.203867 182.932744 \nL 217.045688 184.704495 \nL 218.001308 186.387301 \nL 219.075611 187.976432 \nL 220.274629 189.466054 \nL 221.605523 190.849035 \nL 223.076555 192.116749 \nL 224.697068 193.258797 \nL 226.477441 194.262736 \nL 228.42903 195.11374 \nL 230.564082 195.794259 \nL 232.895613 196.283586 \nL 235.437228 196.557464 \nL 238.20287 196.587612 \nL 241.206478 196.341337 \nL 244.461522 195.781123 \nL 247.980406 194.864379 \nL 251.773661 193.543359 \nL 255.848939 191.76537 \nL 260.209758 189.473437 \nL 264.85394 186.607597 \nL 269.771785 183.106998 \nL 274.943938 178.913108 \nL 280.339045 173.974191 \nL 285.91126 168.251201 \nL 291.597841 161.725137 \nL 297.317158 154.405566 \nL 302.967386 146.339737 \nL 308.426532 137.621106 \nL 313.554185 128.395825 \nL 318.195568 118.865105 \nL 322.188134 109.281642 \nL 325.370655 99.938531 \nL 327.594332 91.150311 \nL 328.734849 83.227743 \nL 328.703829 76.449164 \nL 327.45809 71.033444 \nL 325.005068 67.11917 \nL 321.403454 64.754114 \nL 316.758811 63.896704 \nL 311.214897 64.428385 \nL 304.942066 66.173884 \nL 298.124492 68.924823 \nL 290.947811 72.462563 \nL 283.588615 76.577124 \nL 276.206466 81.080469 \nL 268.93873 85.813996 \nL 261.898061 90.650987 \nL 255.172051 95.495456 \nL 248.824521 100.278645 \nL 242.897855 104.954393 \nL 237.415934 109.494349 \nL 232.387256 113.88347 \nL 227.807993 118.116175 \nL 223.664822 122.193228 \nL 219.937411 126.119379 \nL 216.600559 129.90162 \nL 213.625954 133.547964 \nL 210.983598 137.066645 \nL 208.642923 140.465597 \nL 206.573639 143.752196 \nL 204.74636 146.933128 \nL 203.133039 150.014346 \nL 200.444385 155.89794 \nL 198.318161 161.437556 \nL 196.594165 166.6596 \nL 194.477638 173.940307 \nL 192.001149 182.688548 \nL 190.729425 186.670599 \nL 189.343823 190.395228 \nL 187.779672 193.859005 \nL 185.97091 197.051427 \nL 184.952913 198.540042 \nL 183.846604 199.9523 \nL 182.641823 201.283541 \nL 181.327718 202.527931 \nL 179.892654 203.678259 \nL 178.324145 204.725659 \nL 176.60878 205.659316 \nL 174.732182 206.466116 \nL 172.678979 207.130212 \nL 170.432817 207.63257 \nL 167.976413 207.950414 \nL 165.291672 208.056644 \nL 162.359884 207.919173 \nL 159.162046 207.500279 \nL 155.679304 206.755924 \nL 151.893606 205.635187 \nL 147.788581 204.079858 \nL 143.350689 202.024357 \nL 138.570758 199.39615 \nL 133.445891 196.116958 \nL 127.981843 192.105078 \nL 122.195841 187.279153 \nL 116.119853 181.563861 \nL 109.804125 174.897803 \nL 103.320777 167.243766 \nL 96.767062 158.601135 \nL 90.267646 149.019609 \nL 83.975211 138.612648 \nL 78.068453 127.568062 \nL 72.746715 116.152465 \nL 68.220684 104.706257 \nL 64.699138 93.626404 \nL 62.372698 83.336605 \nL 61.39624 74.247364 \nL 61.872519 66.712205 \nL 63.839852 60.987947 \nL 67.266177 57.207756 \nL 72.050784 55.372321 \nL 78.033476 55.36055 \nL 85.009486 56.955957 \nL 92.747562 59.882038 \nL 101.008326 63.838686 \nL 109.560532 68.53356 \nL 118.193623 73.704559 \nL 126.72603 79.132642 \nL 135.009331 84.646139 \nL 142.929011 90.118885 \nL 150.402693 95.464415 \nL 157.376754 100.628603 \nL 163.822147 105.582049 \nL 169.729967 110.313134 \nL 175.107181 114.82225 \nL 179.97276 119.117333 \nL 184.354336 123.210469 \nL 188.285401 127.115586 \nL 191.803039 130.846887 \nL 194.946141 134.41789 \nL 197.754038 137.840882 \nL 200.26549 141.12666 \nL 202.517966 144.284498 \nL 206.386729 150.245951 \nL 209.620388 155.771258 \nL 217.59895 169.930125 \nL 220.236778 173.838628 \nL 221.628553 175.628847 \nL 223.088829 177.302743 \nL 224.631932 178.853507 \nL 226.271866 180.272857 \nL 228.022394 181.550864 \nL 229.897117 182.675713 \nL 231.909511 183.633476 \nL 234.072909 184.407866 \nL 236.400433 184.979947 \nL 238.904885 185.327883 \nL 241.598518 185.426686 \nL 244.492757 185.24802 \nL 247.597788 184.760071 \nL 250.922021 183.927582 \nL 254.471424 182.712058 \nL 258.24865 181.072278 \nL 262.25203 178.965212 \nL 266.474344 176.347393 \nL 270.901452 173.176993 \nL 275.51073 169.416606 \nL 280.269503 165.036881 \nL 285.13345 160.021019 \nL 290.045215 154.369956 \nL 294.93345 148.108044 \nL 299.712532 141.288618 \nL 304.283233 133.998743 \nL 308.534707 126.362077 \nL 312.347946 118.538871 \nL 315.600826 110.722007 \nL 318.174621 103.128507 \nL 319.961576 95.986634 \nL 320.872829 89.519589 \nL 320.845806 83.927621 \nL 319.850099 79.371334 \nL 317.890954 75.95854 \nL 315.009794 73.737164 \nL 311.281647 72.694883 \nL 306.809841 72.765378 \nL 301.718661 73.839674 \nL 296.145013 75.780212 \nL 290.230002 78.435435 \nL 284.111384 81.652692 \nL 277.917407 85.288477 \nL 271.762323 89.21521 \nL 265.743692 93.324829 \nL 259.941217 97.529842 \nL 254.416851 101.76229 \nL 249.215837 105.971595 \nL 244.368383 110.121853 \nL 239.891675 114.188937 \nL 235.79199 118.157805 \nL 232.066804 122.020128 \nL 228.706732 125.772387 \nL 225.697277 129.414305 \nL 223.020341 132.947667 \nL 220.65551 136.375504 \nL 218.581093 139.701462 \nL 216.774975 142.929423 \nL 215.215267 146.063222 \nL 213.88081 149.106521 \nL 212.751539 152.062708 \nL 211.808739 154.934863 \nL 211.035206 157.725772 \nL 210.41535 160.437896 \nL 209.935229 163.073438 \nL 209.346643 168.122249 \nL 209.190228 172.884776 \nL 209.410811 177.369938 \nL 209.975098 181.582911 \nL 210.869589 185.524521 \nL 212.0989 189.190177 \nL 212.845222 190.916192 \nL 213.684647 192.56811 \nL 214.62245 194.142908 \nL 215.664929 195.636717 \nL 216.819426 197.044678 \nL 218.094333 198.360761 \nL 219.499113 199.577544 \nL 221.044316 200.685971 \nL 222.741584 201.675052 \nL 224.603653 202.531527 \nL 226.64432 203.239462 \nL 228.878398 203.779819 \nL 231.321612 204.129944 \nL 233.990447 204.263027 \nL 236.901899 204.147525 \nL 240.073141 203.74657 \nL 243.521024 203.017425 \nL 247.261425 201.911025 \nL 251.308341 200.371728 \nL 255.672748 198.337399 \nL 260.361106 195.740004 \nL 265.373517 192.506982 \nL 270.701469 188.563666 \nL 276.325208 183.837083 \nL 282.210744 178.26148 \nL 288.306667 171.785802 \nL 294.540993 164.383211 \nL 300.818452 156.062273 \nL 307.018724 146.879107 \nL 312.996342 136.948806 \nL 318.582984 126.45396 \nL 323.592794 115.647446 \nL 327.83121 104.846618 \nL 331.1071 94.416887 \nL 333.247465 84.744604 \nL 334.112997 76.201677 \nL 333.612438 69.10731 \nL 331.713246 63.69367 \nL 328.446635 60.082687 \nL 323.905895 58.278446 \nL 318.238264 58.176223 \nL 311.631756 59.585099 \nL 304.299123 62.258503 \nL 296.461505 65.926072 \nL 288.333747 70.32147 \nL 280.112872 75.202933 \nL 271.970259 80.365537 \nL 264.047484 85.645933 \nL 256.455219 90.92154 \nL 249.274525 96.106066 \nL 242.559623 101.143267 \nL 236.341564 106.000375 \nL 230.632167 110.661862 \nL 225.427919 115.124207 \nL 220.713534 119.391692 \nL 216.465098 123.4732 \nL 212.652724 127.379976 \nL 209.242733 131.124041 \nL 206.199388 134.717195 \nL 203.486245 138.170435 \nL 201.067169 141.493656 \nL 198.90706 144.695507 \nL 195.231377 150.763676 \nL 192.214013 156.421026 \nL 188.466638 164.200438 \nL 185.141815 171.174487 \nL 182.925922 175.378374 \nL 180.571405 179.211593 \nL 179.308156 180.981426 \nL 177.97014 182.647334 \nL 176.544463 184.203325 \nL 175.018225 185.64204 \nL 173.378421 186.954569 \nL 171.611869 188.130201 \nL 169.705159 189.156156 \nL 167.644638 190.017305 \nL 165.41645 190.695839 \nL 163.006609 191.17092 \nL 160.401167 191.418321 \nL 157.586433 191.410103 \nL 154.549321 191.114294 \nL 151.277804 190.494665 \nL 147.761533 189.51065 \nL 143.992624 188.117485 \nL 139.966647 186.266691 \nL 135.683853 183.907011 \nL 131.150634 180.985957 \nL 126.381196 177.452195 \nL 121.399503 173.258859 \nL 116.241265 168.36799 \nL 110.955977 162.756143 \nL 105.608745 156.420988 \nL 100.28161 149.388607 \nL 95.074026 141.720796 \nL 90.102106 133.521245 \nL 85.496186 124.939369 \nL 81.396456 116.170094 \nL 77.946466 107.448334 \nL 75.28478 99.037297 \nL 73.535286 91.210924 \nL 72.797234 84.232077 \nL 73.136146 78.329262 \nL 74.577053 73.675827 \nL 77.101049 70.375043 \nL 80.645872 68.453773 \nL 85.110436 67.8656 \nL 90.362649 68.502119 \nL 96.249358 70.20988 \nL 102.607014 72.809583 \nL 109.271865 76.114278 \nL 116.088542 79.944378 \nL 122.916618 84.138249 \nL 129.634837 88.558315 \nL 136.143218 93.093254 \nL 142.363405 97.657173 \nL 148.23763 102.187017 \nL 153.726805 106.638983 \nL 158.80809 110.984653 \nL 163.472277 115.207361 \nL 167.721172 119.299037 \nL 171.565173 123.257555 \nL 175.021087 127.084726 \nL 178.110262 130.784738 \nL 180.857 134.363077 \nL 183.287274 137.825752 \nL 185.427707 141.17885 \nL 187.304778 144.428188 \nL 188.944225 147.579186 \nL 190.370626 150.636794 \nL 191.6071 153.605477 \nL 192.675134 156.489242 \nL 194.383152 162.016028 \nL 195.631842 167.241859 \nL 196.531825 172.187149 \nL 197.170062 176.869335 \nL 197.778305 183.432379 \nL 198.103786 189.483367 \nL 198.264215 196.824568 \nL 198.189299 204.95235 \nL 197.88012 212.051153 \nL 197.445303 217.074594 \nL 196.972956 220.496135 \nL 196.329776 223.642378 \nL 195.455353 226.52744 \nL 194.703307 228.309545 \nL 193.778576 229.978281 \nL 192.640192 231.529732 \nL 191.237189 232.955099 \nL 189.506245 234.238288 \nL 187.368829 235.352188 \nL 184.727841 236.253028 \nL 183.182156 236.603282 \nL 181.463809 236.871784 \nL 179.553712 237.043854 \nL 177.4309 237.1013 \nL 175.072436 237.021649 \nL 172.453381 236.777226 \nL 169.546806 236.334074 \nL 166.323921 235.650689 \nL 162.754335 234.676613 \nL 158.806516 233.350882 \nL 154.448529 231.600408 \nL 149.64916 229.338455 \nL 144.379527 226.463398 \nL 138.615334 222.858156 \nL 132.339947 218.390824 \nL 125.548409 212.917268 \nL 118.252597 206.286624 \nL 110.487482 198.350945 \nL 102.318396 188.980127 \nL 93.848903 178.083076 \nL 85.228394 165.635118 \nL 76.657999 151.710002 \nL 68.392891 136.512288 \nL 60.738515 120.402723 \nL 54.03859 103.906626 \nL 48.653322 87.694914 \nL 44.928355 72.530922 \nL 43.157727 59.185002 \nL 43.546689 48.330439 \nL 46.182039 40.444311 \nL 51.017061 35.739803 \nL 57.874872 34.148287 \nL 66.46979 35.354225 \nL 76.441446 38.869204 \nL 87.394318 44.122088 \nL 98.93505 50.542295 \nL 110.702182 57.621113 \nL 122.385702 64.945854 \nL 144.568348 79.205637 \nL 180.830543 102.847164 \nL 194.474564 112.021392 \nL 205.470276 119.773702 \nL 214.265224 126.390743 \nL 221.327305 132.094196 \nL 229.611175 139.246839 \nL 236.201057 144.927808 \nL 240.126489 147.928152 \nL 242.031757 149.186165 \nL 243.928275 150.2766 \nL 245.834664 151.193307 \nL 247.766875 151.929091 \nL 249.738299 152.475845 \nL 251.759845 152.824687 \nL 253.83995 152.966183 \nL 255.984575 152.890556 \nL 258.197144 152.58797 \nL 260.478445 152.048885 \nL 262.826499 151.264508 \nL 265.236409 150.227282 \nL 267.700184 148.931504 \nL 270.206573 147.374015 \nL 272.740925 145.554978 \nL 275.285059 143.478676 \nL 277.817258 141.154381 \nL 280.31232 138.597128 \nL 282.741749 135.828407 \nL 285.074144 132.876694 \nL 287.275717 129.777657 \nL 289.311055 126.574069 \nL 291.144063 123.315239 \nL 292.739102 120.05597 \nL 294.062288 116.855034 \nL 295.082841 113.773196 \nL 295.774515 110.870906 \nL 296.116873 108.205773 \nL 296.096436 105.830023 \nL 295.707523 103.788244 \nL 294.952771 102.115463 \nL 293.843243 100.835892 \nL 292.398087 99.962284 \nL 290.643868 99.49608 \nL 288.613482 99.42816 \nL 286.344876 99.740209 \nL 283.879564 100.406414 \nL 281.261107 101.395352 \nL 278.53365 102.671966 \nL 275.74056 104.199358 \nL 272.923278 105.940383 \nL 270.120389 107.858915 \nL 267.36692 109.920812 \nL 264.693919 112.094558 \nL 262.128211 114.351629 \nL 259.692374 116.666595 \nL 257.404867 119.017104 \nL 255.280283 121.383667 \nL 253.329677 123.74941 \nL 251.560959 126.099737 \nL 249.979314 128.422029 \nL 248.587624 130.705276 \nL 247.386882 132.939806 \nL 246.37658 135.116967 \nL 245.555063 137.228898 \nL 244.919843 139.268274 \nL 244.467873 141.228111 \nL 244.195784 143.101607 \nL 244.100073 144.881953 \nL 244.177244 146.562231 \nL 244.423932 148.135269 \nL 244.836956 149.59353 \nL 245.413375 150.929059 \nL 246.150476 152.133356 \nL 247.045746 153.197349 \nL 248.096822 154.111317 \nL 249.301378 154.864883 \nL 250.657012 155.447018 \nL 252.161077 155.846065 \nL 253.810503 156.049815 \nL 255.601564 156.045656 \nL 257.529625 155.820729 \nL 259.588843 155.362242 \nL 261.771871 154.657813 \nL 264.069508 153.695919 \nL 266.470339 152.466506 \nL 268.960397 150.961645 \nL 271.522808 149.176368 \nL 274.137494 147.109557 \nL 276.78092 144.764944 \nL 279.425963 142.152086 \nL 282.041887 139.287381 \nL 284.594508 136.194878 \nL 287.046551 132.906915 \nL 289.358257 129.464368 \nL 291.488242 125.916516 \nL 293.394611 122.320282 \nL 295.036286 118.738909 \nL 296.37456 115.240033 \nL 297.374724 111.893155 \nL 298.007691 108.766768 \nL 298.251527 105.925234 \nL 298.092719 103.425789 \nL 297.527084 101.315842 \nL 296.560238 99.630889 \nL 295.207554 98.393224 \nL 293.493611 97.611575 \nL 291.451194 97.281554 \nL 289.119875 97.386982 \nL 286.544373 97.901779 \nL 283.772732 98.792176 \nL 280.854532 100.019157 \nL 277.839184 101.540769 \nL 274.77445 103.31416 \nL 271.705169 105.297349 \nL 268.67237 107.450481 \nL 265.712587 109.736752 \nL 262.857528 112.122956 \nL 260.133955 114.579657 \nL 257.563776 117.081182 \nL 255.164324 119.60541 \nL 252.948705 122.133464 \nL 250.926269 124.649289 \nL 249.103091 127.139262 \nL 247.482488 129.591793 \nL 246.065497 131.996915 \nL 244.851353 134.345945 \nL 243.837916 136.631195 \nL 243.022054 138.845655 \nL 242.399978 140.982789 \nL 241.967523 143.036311 \nL 241.720403 145.000011 \nL 241.654378 146.867603 \nL 241.765417 148.632571 \nL 242.0498 150.288057 \nL 242.504172 151.826754 \nL 243.125594 153.240781 \nL 243.911511 154.521631 \nL 244.859744 155.660068 \nL 245.96839 156.646068 \nL 247.235736 157.468764 \nL 248.660126 158.116453 \nL 250.239772 158.576571 \nL 251.972567 158.835763 \nL 253.855832 158.879987 \nL 255.88604 158.694677 \nL 258.05849 158.264999 \nL 260.36696 157.576215 \nL 262.803311 156.61413 \nL 265.357077 155.365724 \nL 268.015041 153.819873 \nL 270.7608 151.968278 \nL 273.574352 149.806476 \nL 276.431781 147.335018 \nL 279.304971 144.560708 \nL 282.161503 141.497824 \nL 284.964723 138.169291 \nL 287.674024 134.607588 \nL 290.245448 130.855358 \nL 292.63257 126.965437 \nL 294.787685 123.000271 \nL 296.663365 119.030583 \nL 298.21422 115.133221 \nL 299.398848 111.388288 \nL 300.181861 107.875675 \nL 300.535756 104.671257 \nL 300.442582 101.843078 \nL 299.895168 99.447926 \nL 298.897779 97.528583 \nL 297.466224 96.112094 \nL 295.627237 95.209182 \nL 293.417346 94.81479 \nL 290.881206 94.909667 \nL 288.06958 95.462698 \nL 285.037177 96.433759 \nL 281.840464 97.776719 \nL 278.535632 99.442316 \nL 275.176762 101.38069 \nL 271.814412 103.543437 \nL 268.494499 105.88516 \nL 265.257583 108.364478 \nL 262.138486 110.94454 \nL 259.166219 113.593237 \nL 256.364151 116.28303 \nL 253.750355 118.990622 \nL 251.338095 121.696517 \nL 249.136377 124.384516 \nL 247.150563 127.041179 \nL 245.38297 129.655325 \nL 243.833442 132.217587 \nL 242.499913 134.719999 \nL 241.378891 137.155618 \nL 240.465898 139.518251 \nL 239.755857 141.802166 \nL 239.243408 144.001896 \nL 238.923174 146.112025 \nL 238.78997 148.127037 \nL 238.838972 150.041161 \nL 239.065833 151.848265 \nL 239.466761 153.541698 \nL 240.038561 155.114211 \nL 240.778639 156.557839 \nL 241.684969 157.863805 \nL 242.756046 159.022437 \nL 243.990777 160.02307 \nL 245.388374 160.854 \nL 246.948182 161.502442 \nL 248.669491 161.954509 \nL 250.5513 162.195252 \nL 252.592047 162.20874 \nL 254.789275 161.978243 \nL 257.139288 161.486464 \nL 259.636712 160.715928 \nL 262.274057 159.649512 \nL 265.041212 158.271095 \nL 267.924933 156.566443 \nL 270.908305 154.524263 \nL 273.970231 152.137448 \nL 277.085 149.40449 \nL 280.221888 146.331056 \nL 283.34499 142.931531 \nL 286.413236 139.230536 \nL 289.380685 135.264168 \nL 292.197174 131.080828 \nL 294.809368 126.741397 \nL 297.162193 122.318565 \nL 299.200702 117.895207 \nL 300.872281 113.561691 \nL 302.12904 109.412225 \nL 302.930314 105.54042 \nL 303.245017 102.034465 \nL 303.053627 98.972316 \nL 302.349638 96.417466 \nL 301.140308 94.415685 \nL 299.446592 92.99311 \nL 297.302262 92.155943 \nL 294.752287 91.891552 \nL 291.850666 92.170881 \nL 288.657836 92.951748 \nL 285.237985 94.182583 \nL 281.65638 95.806265 \nL 277.976956 97.763593 \nL 274.260298 99.996263 \nL 270.562047 102.4491 \nL 266.931783 105.07164 \nL 263.412389 107.819021 \nL 260.039805 110.652304 \nL 256.843116 113.538415 \nL 253.844906 116.449738 \nL 251.061807 119.36358 \nL 248.505153 122.261472 \nL 246.181711 125.128533 \nL 244.094414 127.952782 \nL 242.243091 130.724574 \nL 240.625131 133.43604 \nL 239.236106 136.080673 \nL 238.070325 138.652932 \nL 237.121296 141.147904 \nL 236.382136 143.561086 \nL 235.845911 145.888119 \nL 235.505908 148.124633 \nL 235.355838 150.266098 \nL 235.390014 152.307648 \nL 235.603456 154.243999 \nL 235.991964 156.069294 \nL 236.55217 157.777007 \nL 237.281528 159.359823 \nL 238.178286 160.809537 \nL 239.241446 162.116925 \nL 240.470659 163.271646 \nL 241.866124 164.262158 \nL 243.428436 165.075601 \nL 245.158391 165.697744 \nL 247.056782 166.112941 \nL 249.124123 166.304137 \nL 251.360333 166.25294 \nL 253.764365 165.939784 \nL 256.333786 165.344161 \nL 259.064282 164.445064 \nL 261.949115 163.221536 \nL 264.97852 161.653487 \nL 268.139066 159.722688 \nL 271.412983 157.414076 \nL 274.777509 154.7173 \nL 278.204294 151.628508 \nL 281.658904 148.152335 \nL 285.100512 144.303958 \nL 288.481884 140.111079 \nL 291.749683 135.615643 \nL 294.845268 130.874913 \nL 297.705958 125.961799 \nL 300.266888 120.963957 \nL 302.463348 115.981645 \nL 304.233595 111.124079 \nL 305.521973 106.504546 \nL 306.28204 102.234475 \nL 306.479514 98.417091 \nL 306.094703 95.141243 \nL 305.124152 92.476157 \nL 303.581299 90.467737 \nL 301.496081 89.136778 \nL 298.913459 88.479368 \nL 295.891073 88.469199 \nL 292.496214 89.061322 \nL 288.802453 90.196936 \nL 284.886209 91.808426 \nL 280.823519 93.824211 \nL 276.687275 96.172917 \nL 272.544972 98.786624 \nL 268.457087 101.603203 \nL 264.47612 104.567622 \nL 260.646112 107.632547 \nL 257.002685 110.758257 \nL 253.573411 113.912155 \nL 250.378467 117.068018 \nL 247.431447 120.205107 \nL 244.740249 123.307235 \nL 242.308009 126.361925 \nL 240.134001 129.359607 \nL 238.214473 132.292938 \nL 236.543428 135.156221 \nL 235.113289 137.944965 \nL 233.915501 140.655458 \nL 232.941021 143.284494 \nL 232.180734 145.829118 \nL 231.625785 148.286419 \nL 231.267846 150.653383 \nL 231.099317 152.926748 \nL 231.113478 155.102869 \nL 231.304589 157.177635 \nL 231.667955 159.146334 \nL 232.199958 161.003556 \nL 232.898054 162.743074 \nL 233.76075 164.357732 \nL 234.787554 165.839316 \nL 235.978893 167.178413 \nL 237.336028 168.364289 \nL 238.860911 169.384745 \nL 240.556042 170.225995 \nL 242.424267 170.87253 \nL 244.468549 171.307044 \nL 246.691684 171.510346 \nL 249.095967 171.461381 \nL 251.682784 171.137341 \nL 254.452139 170.513824 \nL 257.4021 169.565238 \nL 260.528163 168.265367 \nL 263.822517 166.588179 \nL 267.273268 164.508967 \nL 270.863586 162.005811 \nL 274.570819 159.061444 \nL 278.365659 155.665439 \nL 282.211391 151.816785 \nL 286.063337 147.526663 \nL 289.868598 142.8212 \nL 293.566227 137.744058 \nL 297.087967 132.35831 \nL 300.359666 126.74735 \nL 303.303425 121.014296 \nL 305.840479 115.279564 \nL 307.894782 109.676444 \nL 309.397035 104.344718 \nL 310.288878 99.42278 \nL 310.526815 95.038963 \nL 310.085562 91.303035 \nL 308.960264 88.299018 \nL 307.16741 86.080238 \nL 304.744252 84.667126 \nL 301.746769 84.048103 \nL 298.246478 84.183217 \nL 294.326302 85.009739 \nL 290.076097 86.448893 \nL 285.588191 88.412898 \nL 280.953265 90.811304 \nL 276.256929 93.556291 \nL 271.577106 96.566546 \nL 266.982254 99.769743 \nL 262.530413 103.103771 \nL 258.268938 106.516899 \nL 254.234802 109.967249 \nL 250.455294 113.421807 \nL 246.949011 116.855167 \nL 243.726986 120.248263 \nL 240.793887 123.587089 \nL 238.149183 126.861621 \nL 235.788256 130.064837 \nL 233.703406 133.191911 \nL 231.884753 136.239579 \nL 230.320997 139.205639 \nL 229.000075 142.088545 \nL 227.909702 144.887142 \nL 227.037797 147.600411 \nL 226.372834 150.227301 \nL 225.904106 152.766631 \nL 225.621918 155.216949 \nL 225.517728 157.576434 \nL 225.584241 159.842845 \nL 225.815471 162.013404 \nL 226.206756 164.084736 \nL 226.754771 166.052758 \nL 227.457496 167.912575 \nL 228.31419 169.65836 \nL 229.325335 171.283244 \nL 230.492572 172.779147 \nL 231.818616 174.136626 \nL 233.307158 175.34469 \nL 234.962742 176.390625 \nL 236.790621 177.259807 \nL 238.796564 177.935475 \nL 240.986644 178.398569 \nL 243.366949 178.627579 \nL 245.943248 178.598398 \nL 248.720565 178.284326 \nL 251.702671 177.656117 \nL 254.891467 176.682251 \nL 258.286253 175.329408 \nL 261.88287 173.563219 \nL 265.672719 171.349456 \nL 269.641651 168.655628 \nL 273.768809 165.453128 \nL 278.025388 161.719985 \nL 282.373468 157.444172 \nL 286.764996 152.627376 \nL 291.141086 147.289106 \nL 295.431801 141.470695 \nL 299.556645 135.238765 \nL 303.425929 128.687507 \nL 306.943212 121.938987 \nL 310.008844 115.140958 \nL 312.524603 108.461559 \nL 314.399174 102.080931 \nL 315.553988 96.180243 \nL 315.928993 90.929057 \nL 315.487537 86.472798 \nL 314.219831 82.92178 \nL 312.144476 80.343731 \nL 309.307743 78.760629 \nL 305.780777 78.150267 \nL 301.65497 78.452014 \nL 297.036177 79.575589 \nL 292.03835 81.411272 \nL 286.777375 83.840108 \nL 281.365536 86.742932 \nL 275.907111 90.00739 \nL 270.495135 93.532671 \nL 265.209442 97.232197 \nL 260.115799 101.034385 \nL 255.265982 104.882123 \nL 250.698526 108.731435 \nL 246.439964 112.549601 \nL 242.506316 116.313193 \nL 238.904719 120.006127 \nL 235.63503 123.617968 \nL 232.691374 127.142467 \nL 230.063516 130.576343 \nL 227.738098 133.918356 \nL 225.699694 137.16861 \nL 223.931686 140.328022 \nL 222.416987 143.397926 \nL 221.138627 146.379831 \nL 220.080189 149.275233 \nL 219.226158 152.085497 \nL 218.562173 154.811787 \nL 218.075192 157.45499 \nL 217.753615 160.015706 \nL 217.587349 162.494184 \nL 217.567836 164.890329 \nL 217.688055 167.203644 \nL 217.942509 169.433176 \nL 218.327197 171.577483 \nL 218.839571 173.634573 \nL 219.478499 175.601812 \nL 220.244217 177.475843 \nL 221.138286 179.252478 \nL 222.163544 180.926556 \nL 223.324065 182.491805 \nL 224.625104 183.940646 \nL 226.073044 185.264017 \nL 227.675335 186.451129 \nL 229.44041 187.489208 \nL 231.377595 188.363212 \nL 233.496971 189.05553 \nL 235.809203 189.545645 \nL 238.325322 189.809806 \nL 241.056416 189.820715 \nL 244.013246 189.547247 \nL 247.205759 188.954252 \nL 250.642432 188.002508 \nL 254.329477 186.648892 \nL 258.269861 184.846864 \nL 262.462102 182.547405 \nL 266.898853 179.700538 \nL 271.565286 176.25761 \nL 276.437243 172.174499 \nL 281.479351 167.415817 \nL 286.643098 161.960194 \nL 291.865148 155.806487 \nL 297.066105 148.980603 \nL 302.150092 141.542268 \nL 307.005512 133.590815 \nL 311.507334 125.268646 \nL 315.521236 116.761072 \nL 318.909678 108.291197 \nL 321.539745 100.109132 \nL 323.292177 92.475795 \nL 324.07078 85.642651 \nL 323.810989 79.830078 \nL 322.486388 75.207722 \nL 320.112155 71.880094 \nL 316.744781 69.879992 \nL 312.478129 69.170632 \nL 307.436303 69.655437 \nL 301.76448 71.193399 \nL 295.618838 73.61676 \nL 289.156939 76.748278 \nL 282.529331 80.415676 \nL 275.873153 84.462127 \nL 269.307796 88.75265 \nL 262.93262 93.176627 \nL 256.826392 97.647614 \nL 251.048037 102.101116 \nL 245.638334 106.49142 \nL 240.622121 110.788048 \nL 236.010759 114.972313 \nL 231.804622 119.034246 \nL 227.995421 122.970088 \nL 224.568334 126.780222 \nL 221.503846 130.467672 \nL 218.779316 134.036958 \nL 216.370256 137.493337 \nL 214.251366 140.842265 \nL 212.397342 144.089076 \nL 210.783486 147.238815 \nL 209.38615 150.296127 \nL 208.183052 153.26523 \nL 207.153472 156.149929 \nL 205.540423 161.67951 \nL 204.415257 166.908499 \nL 203.672769 171.856431 \nL 203.231895 176.539858 \nL 203.032585 180.973165 \nL 203.032628 185.169015 \nL 203.204786 189.138632 \nL 203.534444 192.891835 \nL 204.017838 196.436949 \nL 204.660883 199.780521 \nL 205.478564 202.926874 \nL 206.494887 205.87738 \nL 207.743338 208.629368 \nL 209.267834 211.174507 \nL 211.124168 213.496379 \nL 212.197909 214.565404 \nL 213.381882 215.566919 \nL 214.6873 216.494729 \nL 216.126534 217.341136 \nL 217.713185 218.096619 \nL 219.462166 218.749454 \nL 221.389753 219.285295 \nL 223.513639 219.686627 \nL 225.852933 219.932173 \nL 228.428132 219.996167 \nL 231.261011 219.847564 \nL 234.374432 219.449132 \nL 237.792011 218.756494 \nL 241.53761 217.717127 \nL 245.634605 216.269416 \nL 250.104832 214.341898 \nL 254.967177 211.85285 \nL 260.235653 208.710514 \nL 265.916934 204.814369 \nL 272.007235 200.057909 \nL 278.488487 194.333546 \nL 285.32387 187.540286 \nL 292.452847 179.594795 \nL 299.78603 170.446143 \nL 307.200526 160.093947 \nL 314.536687 148.608599 \nL 321.597369 136.150844 \nL 328.151205 122.986477 \nL 333.941074 109.4906 \nL 338.698512 96.135885 \nL 342.163762 83.461284 \nL 344.109735 72.021715 \nL 344.366621 62.325221 \nL 342.842863 54.769553 \nL 339.538282 49.592239 \nL 334.546475 46.846336 \nL 328.045659 46.406804 \nL 320.279936 48.004253 \nL 311.534673 51.275732 \nL 302.110512 55.819676 \nL 292.300001 61.243752 \nL 282.369455 67.199186 \nL 272.54714 73.399703 \nL 263.01757 79.627025 \nL 245.355169 91.599879 \nL 230.033169 102.470468 \nL 223.313792 107.440235 \nL 217.211345 112.109353 \nL 211.69898 116.496309 \nL 206.7401 120.623081 \nL 202.291814 124.512343 \nL 198.307657 128.185655 \nL 194.739681 131.662496 \nL 191.540003 134.959769 \nL 186.060685 141.069844 \nL 181.522146 146.59911 \nL 172.394829 158.121919 \nL 169.024951 161.810885 \nL 167.307422 163.443782 \nL 165.542801 164.926617 \nL 163.713964 166.250784 \nL 161.805148 167.406087 \nL 159.801894 168.380668 \nL 157.691 169.160924 \nL 155.460546 169.731441 \nL 153.099983 170.074912 \nL 150.600273 170.172194 \nL 147.954121 170.002347 \nL 145.156273 169.54283 \nL 142.203922 168.769804 \nL 139.09718 167.65863 \nL 135.839656 166.184591 \nL 132.439113 164.323848 \nL 128.908202 162.054767 \nL 125.265211 159.359556 \nL 121.534839 156.226234 \nL 117.748899 152.650967 \nL 113.946857 148.640613 \nL 110.176176 144.215376 \nL 106.49223 139.411306 \nL 102.957795 134.282356 \nL 99.641944 128.901588 \nL 96.618214 123.36119 \nL 93.962119 117.770824 \nL 91.747972 112.254217 \nL 90.045219 106.94382 \nL 88.914452 101.97391 \nL 88.403568 97.472607 \nL 88.544293 93.553734 \nL 89.349629 90.309385 \nL 90.812422 87.804311 \nL 92.905278 86.072625 \nL 95.581916 85.117361 \nL 98.779729 84.912743 \nL 102.423327 85.408653 \nL 106.428676 86.536616 \nL 110.707368 88.216313 \nL 115.170743 90.361908 \nL 119.73345 92.887625 \nL 124.316335 95.712055 \nL 128.848531 98.761135 \nL 133.268725 101.969979 \nL 137.525778 105.28346 \nL 141.578681 108.656103 \nL 145.396083 112.051364 \nL 148.955491 115.440568 \nL 152.242239 118.801726 \nL 155.248399 122.118335 \nL 157.971637 125.378253 \nL 160.414116 128.572721 \nL 162.581481 131.695521 \nL 164.481939 134.742254 \nL 166.125469 137.709831 \nL 167.523117 140.595999 \nL 168.686426 143.399052 \nL 169.626964 146.117519 \nL 170.355942 148.75 \nL 170.883917 151.295015 \nL 171.220567 153.750866 \nL 171.374525 156.115531 \nL 171.35326 158.386577 \nL 171.163007 160.561077 \nL 170.808724 162.635499 \nL 170.294083 164.60562 \nL 169.621477 166.466429 \nL 168.792053 168.212004 \nL 167.805758 169.835371 \nL 166.661412 171.328393 \nL 165.356778 172.681579 \nL 163.888675 173.88393 \nL 162.253092 174.922787 \nL 160.445355 175.783603 \nL 158.460303 176.449807 \nL 156.292521 176.902599 \nL 153.936622 177.120858 \nL 151.387594 177.081012 \nL 148.64122 176.757058 \nL 145.694585 176.120692 \nL 142.54668 175.141551 \nL 139.199137 173.787764 \nL 135.657044 172.026717 \nL 131.929896 169.826242 \nL 128.032653 167.156234 \nL 123.986858 163.990746 \nL 119.821754 160.310632 \nL 115.575385 156.106726 \nL 111.295487 151.383425 \nL 107.040081 146.162459 \nL 102.877574 140.486603 \nL 98.886173 134.422726 \nL 95.152492 128.063676 \nL 91.769106 121.528321 \nL 88.831116 114.959168 \nL 86.43172 108.517154 \nL 84.657071 102.373644 \nL 83.580747 96.700039 \nL 83.258479 91.656141 \nL 83.723625 87.378458 \nL 84.984065 83.970357 \nL 87.020867 81.495142 \nL 89.789029 79.97332 \nL 93.220168 79.384117 \nL 97.226836 79.67081 \nL 101.707978 80.748769 \nL 106.554829 82.514948 \nL 111.656697 84.857244 \nL 116.906151 87.662958 \nL 122.203196 90.825327 \nL 127.458329 94.248061 \nL 132.594458 97.847939 \nL 137.547749 101.555631 \nL 142.267621 105.315397 \nL 146.716109 109.083873 \nL 150.86671 112.828396 \nL 154.703016 116.525204 \nL 158.217191 120.157649 \nL 161.408451 123.714592 \nL 164.281621 127.189019 \nL 166.84579 130.576887 \nL 169.113148 133.876221 \nL 171.097962 137.086439 \nL 172.81572 140.207808 \nL 174.282427 143.241091 \nL 175.514037 146.187242 \nL 176.526006 149.047254 \nL 177.332958 151.822003 \nL 177.94842 154.512177 \nL 178.384655 157.118196 \nL 178.652534 159.640173 \nL 178.761468 162.077861 \nL 178.719369 164.430612 \nL 178.532639 166.697327 \nL 178.206186 168.876425 \nL 177.743441 170.965738 \nL 177.146402 172.962464 \nL 176.415669 174.863061 \nL 175.550489 176.663153 \nL 174.54881 178.357369 \nL 173.407326 179.93924 \nL 172.121543 181.400983 \nL 170.685838 182.733345 \nL 169.093533 183.925355 \nL 167.336992 184.964102 \nL 165.407732 185.834447 \nL 163.296571 186.518758 \nL 160.993821 186.996599 \nL 158.489519 187.244449 \nL 155.773761 187.23542 \nL 152.83709 186.939054 \nL 149.671021 186.321199 \nL 146.268678 185.344037 \nL 142.625607 183.966355 \nL 138.740735 182.144136 \nL 134.617554 179.83158 \nL 130.265465 176.982738 \nL 125.701335 173.553813 \nL 120.951178 169.506352 \nL 116.051906 164.811315 \nL 111.053011 159.454109 \nL 106.01799 153.440343 \nL 101.025276 146.801973 \nL 96.16836 139.603236 \nL 91.554778 131.945383 \nL 87.303619 123.969128 \nL 83.541401 115.853628 \nL 80.396203 107.810894 \nL 77.990335 100.07521 \nL 76.431996 92.887892 \nL 75.806845 86.478903 \nL 76.170458 81.047501 \nL 77.542771 76.745188 \nL 79.905329 73.663502 \nL 83.201891 71.828811 \nL 87.342286 71.204751 \nL 92.209016 71.701252 \nL 97.665678 73.188369 \nL 103.566028 75.512063 \nL 109.76274 78.509479 \nL 116.114958 82.021901 \nL 122.494128 85.904161 \nL 128.787979 90.030456 \nL 134.902649 94.296845 \nL 140.763281 98.621232 \nL 146.313389 102.941517 \nL 151.513387 107.212914 \nL 156.338603 111.404772 \nL 160.777042 115.497555 \nL 164.827125 119.480064 \nL 168.495527 123.3471 \nL 171.795201 127.097604 \nL 174.743653 130.733188 \nL 177.36147 134.257115 \nL 179.671093 137.673496 \nL 181.695827 140.986795 \nL 183.459061 144.201496 \nL 184.983669 147.321911 \nL 186.291566 150.352047 \nL 187.403397 153.295594 \nL 188.33832 156.155872 \nL 189.113887 158.935888 \nL 190.248794 164.26562 \nL 190.915178 169.303231 \nL 191.19459 174.063564 \nL 191.145315 178.558476 \nL 190.804952 182.797038 \nL 190.192815 186.7854 \nL 189.311864 190.526264 \nL 188.150035 194.017929 \nL 186.680916 197.252773 \nL 185.81897 198.769357 \nL 184.863794 200.215021 \nL 183.807977 201.585989 \nL 182.643121 202.877489 \nL 181.3598 204.083564 \nL 179.94753 205.196856 \nL 178.394718 206.208336 \nL 176.688633 207.106979 \nL 174.815388 207.879413 \nL 172.759941 208.509488 \nL 170.506113 208.977767 \nL 168.036668 209.260993 \nL 165.333448 209.331445 \nL 162.377578 209.156285 \nL 159.149809 208.69684 \nL 155.630985 207.907926 \nL 151.802713 206.737237 \nL 147.648273 205.124902 \nL 143.153829 203.003402 \nL 138.310008 200.297999 \nL 133.113881 196.927979 \nL 127.571448 192.809068 \nL 121.700573 187.857386 \nL 115.534372 181.995404 \nL 109.12491 175.160229 \nL 102.546947 167.314367 \nL 95.901288 158.458742 \nL 89.317128 148.647081 \nL 82.952578 137.999844 \nL 76.992477 126.715079 \nL 71.642558 115.072628 \nL 67.119562 103.428116 \nL 63.637216 92.194081 \nL 61.389169 81.807839 \nL 60.530676 72.689197 \nL 61.161863 65.194638 \nL 63.315417 59.5768 \nL 66.951133 55.957938 \nL 71.958548 54.322962 \nL 78.167226 54.532769 \nL 85.362783 56.35338 \nL 93.305858 59.493541 \nL 101.751054 63.642425 \nL 110.463347 68.501336 \nL 119.230568 73.805733 \nL 127.871329 79.337164 \nL 136.238771 84.926575 \nL 144.220852 90.451482 \nL 151.738184 95.829484 \nL 158.740345 101.010365 \nL 165.201434 105.968228 \nL 171.115505 110.694391 \nL 176.492186 115.191611 \nL 181.352792 119.469638 \nL 185.72695 123.54193 \nL 189.649833 127.42339 \nL 193.159911 131.128887 \nL 196.297208 134.67236 \nL 199.101965 138.066352 \nL 201.613671 141.321777 \nL 205.908257 147.45239 \nL 209.461264 153.120004 \nL 219.28439 169.654974 \nL 222.063565 173.427466 \nL 223.536587 175.139262 \nL 225.085385 176.726427 \nL 226.724426 178.180959 \nL 228.467798 179.49325 \nL 230.32929 180.651882 \nL 232.322434 181.64339 \nL 234.460503 182.452055 \nL 236.756465 183.059641 \nL 239.222849 183.445152 \nL 241.871574 183.584621 \nL 244.713658 183.450933 \nL 247.758849 183.013733 \nL 251.015103 182.239458 \nL 254.487954 181.091586 \nL 258.179712 179.531111 \nL 262.088501 177.517444 \nL 266.207118 175.009718 \nL 270.521746 171.968756 \nL 275.010518 168.359643 \nL 279.642046 164.155136 \nL 284.373958 159.3398 \nL 289.151624 153.914827 \nL 293.907298 147.903207 \nL 298.559806 141.354897 \nL 303.015228 134.351153 \nL 307.168664 127.007286 \nL 310.907411 119.472728 \nL 314.11558 111.92764 \nL 316.68007 104.575368 \nL 318.497528 97.630901 \nL 319.481697 91.306107 \nL 319.570373 85.793334 \nL 318.731032 81.249848 \nL 316.964352 77.785218 \nL 314.305093 75.45395 \nL 310.820094 74.254136 \nL 306.603693 74.132358 \nL 301.771163 74.993279 \nL 296.451092 76.712296 \nL 290.777489 79.148954 \nL 284.882568 82.159248 \nL 278.89071 85.605563 \nL 272.913965 89.363698 \nL 267.049126 93.326871 \nL 261.376352 97.407205 \nL 255.958968 101.535284 \nL 250.844243 105.658421 \nL 246.064826 109.738316 \nL 241.640538 113.748384 \nL 237.580345 117.671282 \nL 233.884335 121.496622 \nL 230.545586 125.219061 \nL 227.551872 128.836778 \nL 224.887145 132.350297 \nL 222.532818 135.761584 \nL 220.468809 139.073415 \nL 218.674412 142.288965 \nL 217.128966 145.411479 \nL 215.812385 148.444113 \nL 214.705542 151.389826 \nL 213.790553 154.251306 \nL 213.050962 157.030968 \nL 212.471862 159.73093 \nL 212.039954 162.353032 \nL 211.743564 164.898838 \nL 211.57263 167.369628 \nL 211.574733 172.089953 \nL 211.996403 176.518748 \nL 212.810389 180.655736 \nL 213.361719 182.613088 \nL 214.010259 184.494516 \nL 214.758218 186.297961 \nL 215.608952 188.020699 \nL 216.566944 189.659234 \nL 217.637786 191.209153 \nL 218.828175 192.664977 \nL 220.145907 194.019975 \nL 221.599867 195.26594 \nL 223.200028 196.392935 \nL 224.957421 197.388998 \nL 226.884106 198.239807 \nL 228.993107 198.928296 \nL 231.298318 199.434226 \nL 233.814356 199.733731 \nL 236.556345 199.798822 \nL 239.539612 199.596885 \nL 242.779263 199.090225 \nL 246.289615 198.235662 \nL 250.083444 196.984313 \nL 254.171005 195.281622 \nL 258.558787 193.067792 \nL 263.247966 190.278844 \nL 268.232524 186.848478 \nL 273.497035 182.711046 \nL 279.014152 177.805893 \nL 284.741867 172.083247 \nL 290.620777 165.511842 \nL 296.571582 158.088045 \nL 302.49326 149.845997 \nL 308.262408 140.867697 \nL 313.734418 131.291456 \nL 318.746995 121.316472 \nL 323.12654 111.201271 \nL 326.697416 101.253922 \nL 329.293768 91.813234 \nL 330.772816 83.221791 \nL 331.02802 75.794159 \nL 330.000225 69.78521 \nL 327.68487 65.364552 \nL 324.133897 62.601898 \nL 319.451987 61.466189 \nL 313.787648 61.837802 \nL 307.320717 63.530491 \nL 300.248157 66.317985 \nL 292.770172 69.960351 \nL 285.078165 74.225996 \nL 277.345615 78.907229 \nL 269.72205 83.829233 \nL 262.330078 88.852984 \nL 255.264914 93.873968 \nL 248.595763 98.818199 \nL 242.368403 103.636874 \nL 236.608434 108.300898 \nL 231.324729 112.795762 \nL 226.512817 117.117173 \nL 222.157987 121.267593 \nL 218.238015 125.253612 \nL 214.725481 129.083989 \nL 211.589677 132.768357 \nL 208.798134 136.31637 \nL 206.317818 139.737177 \nL 204.116027 143.039134 \nL 202.161043 146.229692 \nL 200.422591 149.315374 \nL 197.482988 155.193931 \nL 195.091844 160.710882 \nL 192.158747 168.362591 \nL 188.755569 177.476721 \nL 187.025855 181.580059 \nL 185.154164 185.375899 \nL 183.054917 188.849653 \nL 181.893314 190.458058 \nL 180.642482 191.974895 \nL 179.291062 193.394322 \nL 177.827228 194.709141 \nL 176.238613 195.910562 \nL 174.512237 196.987948 \nL 172.634465 197.928478 \nL 170.590992 198.716815 \nL 168.366864 199.334688 \nL 165.946549 199.76046 \nL 163.314071 199.968641 \nL 160.453232 199.929401 \nL 157.347914 199.608065 \nL 153.982558 198.964664 \nL 150.342764 197.953605 \nL 146.416131 196.523513 \nL 142.193318 194.617421 \nL 137.669403 192.173413 \nL 132.845563 189.125988 \nL 127.73109 185.408332 \nL 122.345741 180.955842 \nL 116.722366 175.711085 \nL 110.909673 169.630429 \nL 104.974944 162.692363 \nL 99.006339 154.90718 \nL 93.114322 146.327355 \nL 87.431642 137.057267 \nL 82.111287 127.260421 \nL 77.321801 117.161836 \nL 73.239693 107.043334 \nL 70.038943 97.229984 \nL 67.878374 88.067614 \nL 66.888089 79.893057 \nL 67.156772 73.001533 \nL 68.721931 67.616529 \nL 71.564683 63.868067 \nL 75.610212 61.783523 \nL 80.733804 61.292498 \nL 86.771546 62.243641 \nL 93.533868 64.429473 \nL 100.819954 67.613629 \nL 108.431059 71.555968 \nL 116.18153 76.032183 \nL 123.906669 80.846661 \nL 131.467457 85.838741 \nL 138.752406 90.883745 \nL 145.677181 95.890268 \nL 152.182601 100.795445 \nL 158.231711 105.559393 \nL 163.80637 110.15979 \nL 168.903778 114.587011 \nL 173.533178 118.840112 \nL 177.712884 122.923708 \nL 181.467717 126.845614 \nL 184.826849 130.615216 \nL 187.822055 134.242329 \nL 190.486326 137.736531 \nL 192.852805 141.106723 \nL 194.953991 144.360936 \nL 196.821176 147.506277 \nL 199.970541 153.494173 \nL 202.516092 159.110018 \nL 204.64221 164.382305 \nL 210.817929 180.352768 \nL 212.674338 184.224697 \nL 214.740206 187.775353 \nL 215.878572 189.423184 \nL 217.101803 190.980544 \nL 218.421183 192.441996 \nL 219.848413 193.800815 \nL 221.395687 195.048773 \nL 223.075774 196.175883 \nL 224.902067 197.170105 \nL 226.888606 198.017008 \nL 229.050077 198.699372 \nL 231.401748 199.196793 \nL 233.959365 199.485194 \nL 236.738964 199.536358 \nL 239.756581 199.317418 \nL 243.027856 198.79041 \nL 246.567461 197.911904 \nL 250.388366 196.632791 \nL 254.500838 194.898338 \nL 258.911214 192.648698 \nL 263.620325 189.819999 \nL 268.621624 186.346297 \nL 273.898951 182.162628 \nL 279.424029 177.209449 \nL 285.153758 171.438648 \nL 291.027498 164.821207 \nL 296.964613 157.356411 \nL 302.862779 149.081891 \nL 308.59746 140.083616 \nL 314.023239 130.503969 \nL 318.977529 120.545908 \nL 323.287169 110.4708 \nL 326.777832 100.588042 \nL 329.285912 91.235669 \nL 330.671769 82.753183 \nL 330.832713 75.44981 \nL 329.713832 69.57338 \nL 327.314752 65.285624 \nL 323.691155 62.648641 \nL 318.950627 61.625018 \nL 313.243519 62.090669 \nL 306.750357 63.857078 \nL 299.667708 66.697877 \nL 292.19448 70.37468 \nL 284.52016 74.658545 \nL 276.815929 79.344986 \nL 269.22891 84.262431 \nL 261.879379 89.274849 \nL 254.860434 94.280246 \nL 248.239444 99.20662 \nL 242.060686 104.006655 \nL 236.348571 108.652278 \nL 231.111083 113.129628 \nL 226.34313 117.434794 \nL 222.029601 121.570408 \nL 218.148052 125.543091 \nL 214.670991 129.361553 \nL 211.567745 133.035333 \nL 208.805968 136.57395 \nL 206.352802 139.986429 \nL 204.175762 143.281013 \nL 202.243374 146.465036 \nL 200.525619 149.544928 \nL 197.622753 155.413869 \nL 195.263829 160.923484 \nL 192.37471 168.568191 \nL 189.03072 177.681081 \nL 187.334112 181.788178 \nL 185.499639 185.591658 \nL 183.443004 189.078062 \nL 182.305128 190.695133 \nL 181.079851 192.222511 \nL 179.755966 193.654644 \nL 178.321809 194.984669 \nL 176.765159 196.204186 \nL 175.073177 197.303002 \nL 173.232354 198.268821 \nL 171.228488 199.086896 \nL 169.046699 199.739631 \nL 166.671479 200.20615 \nL 164.086817 200.461812 \nL 161.276387 200.477705 \nL 158.22385 200.220144 \nL 154.913262 199.650186 \nL 151.329663 198.723254 \nL 147.459848 197.388903 \nL 143.293393 195.590914 \nL 138.823934 193.267793 \nL 134.050795 190.353937 \nL 128.980939 186.78167 \nL 123.631279 182.48446 \nL 118.031271 177.401561 \nL 112.22573 171.484323 \nL 106.277619 164.704218 \nL 100.270542 157.062438 \nL 94.31048 148.600348 \nL 88.526218 139.40976 \nL 83.067817 129.64114 \nL 78.102588 119.50748 \nL 73.80807 109.281442 \nL 70.362069 99.28385 \nL 67.930213 89.862774 \nL 66.652215 81.364682 \nL 66.628606 74.101374 \nL 67.909896 68.318106 \nL 70.490115 64.16905 \nL 74.305903 61.704843 \nL 79.241487 60.874391 \nL 85.138609 61.539718 \nL 91.80986 63.500003 \nL 99.053323 66.519225 \nL 106.6665 70.352645 \nL 114.458064 74.768094 \nL 122.256587 79.560593 \nL 129.915931 84.559981 \nL 137.317729 89.63284 \nL 144.371351 94.6804 \nL 151.012176 99.63398 \nL 157.198734 104.449354 \nL 162.909308 109.101168 \nL 168.138387 113.577831 \nL 172.893277 117.877254 \nL 177.191009 122.003472 \nL 181.055653 125.964146 \nL 184.516063 129.768747 \nL 187.604022 133.42734 \nL 190.352778 136.949817 \nL 192.795909 140.345412 \nL 194.966474 143.622481 \nL 196.896401 146.788427 \nL 200.154072 152.811752 \nL 202.78964 158.456519 \nL 204.992782 163.752092 \nL 210.490187 177.707553 \nL 212.342209 181.734104 \nL 214.366467 185.438357 \nL 215.471003 187.163737 \nL 216.651929 188.799897 \nL 217.920528 190.34207 \nL 219.288381 191.784329 \nL 220.767462 193.119376 \nL 222.370222 194.338316 \nL 224.109659 195.430397 \nL 225.999362 196.382699 \nL 228.053517 197.179792 \nL 230.286886 197.803332 \nL 232.714727 198.231651 \nL 235.352658 198.439288 \nL 238.216423 198.396523 \nL 241.321571 198.068911 \nL 244.682994 197.416882 \nL 248.314285 196.395463 \nL 252.226925 194.954177 \nL 256.429198 193.037314 \nL 260.924852 190.584664 \nL 265.71145 187.532931 \nL 270.778373 183.818114 \nL 276.104569 179.379036 \nL 281.655992 174.162286 \nL 287.382986 168.128755 \nL 293.217744 161.261699 \nL 299.072227 153.576049 \nL 304.836957 145.128171 \nL 310.38126 136.024859 \nL 315.555501 126.429739 \nL 320.195832 116.564868 \nL 324.131729 106.705472 \nL 327.196147 97.166395 \nL 329.237699 88.280131 \nL 330.133514 80.368476 \nL 329.80114 73.711694 \nL 328.207574 68.520472 \nL 325.373932 64.915977 \nL 321.37474 62.921732 \nL 316.331992 62.468635 \nL 310.404869 63.411097 \nL 303.776815 65.550396 \nL 296.6419 68.660433 \nL 289.192102 72.511309 \nL 281.606888 76.887819 \nL 274.045687 81.601714 \nL 266.643359 86.497753 \nL 259.508371 91.454786 \nL 252.723099 96.383335 \nL 246.345681 101.221269 \nL 240.412781 105.928583 \nL 234.942822 110.482276 \nL 229.939307 114.871759 \nL 225.393975 119.095011 \nL 221.289662 123.155551 \nL 217.602795 127.0602 \nL 214.30547 130.817458 \nL 211.36717 134.436387 \nL 208.756119 137.925934 \nL 206.440328 141.294504 \nL 204.388386 144.549757 \nL 202.57002 147.698513 \nL 200.956478 150.746754 \nL 198.237791 156.561826 \nL 196.03914 162.028581 \nL 193.366154 169.627853 \nL 189.548905 180.811102 \nL 187.961108 184.784224 \nL 186.215237 188.468025 \nL 184.23385 191.849625 \nL 183.130181 193.420178 \nL 181.937456 194.905188 \nL 180.644812 196.299297 \nL 179.240829 197.595867 \nL 177.713438 198.786757 \nL 176.049855 199.862044 \nL 174.236529 200.809724 \nL 172.259111 201.615346 \nL 170.102456 202.261609 \nL 167.750673 202.727898 \nL 165.187221 202.98978 \nL 162.395083 203.01846 \nL 159.357049 202.780212 \nL 156.056101 202.235852 \nL 152.475977 201.340242 \nL 148.601919 200.041969 \nL 144.421672 198.283278 \nL 139.92678 196.000436 \nL 135.114198 193.124699 \nL 129.988296 189.584179 \nL 124.563229 185.306906 \nL 118.865685 180.225371 \nL 112.937882 174.282853 \nL 106.840632 167.441707 \nL 100.656218 159.693412 \nL 94.490527 151.069935 \nL 88.474 141.655184 \nL 82.760533 131.594805 \nL 77.523822 121.101752 \nL 72.950443 110.454955 \nL 69.229691 99.988689 \nL 66.54048 90.071456 \nL 65.036561 81.075642 \nL 64.83182 73.341456 \nL 65.988001 67.141339 \nL 68.506859 62.65156 \nL 72.328415 59.936755 \nL 77.335604 58.950355 \nL 83.36464 59.549766 \nL 90.219238 61.522261 \nL 97.686479 64.615432 \nL 105.552027 68.566528 \nL 113.613035 73.126135 \nL 121.687684 78.074411 \nL 129.621179 83.229594 \nL 137.288367 88.450025 \nL 144.593762 93.631746 \nL 151.469615 98.703308 \nL 157.872802 103.619627 \nL 163.781134 108.35573 \nL 169.189538 112.901171 \nL 174.106404 117.255398 \nL 178.550291 121.424152 \nL 182.547077 125.416724 \nL 186.127558 129.244106 \nL 189.325519 132.917675 \nL 192.176192 136.448413 \nL 194.715081 139.84645 \nL 196.977084 143.120838 \nL 198.995874 146.279468 \nL 202.430011 152.27552 \nL 205.250208 157.876779 \nL 208.759372 165.597619 \nL 211.884685 172.542659 \nL 213.975201 176.745363 \nL 216.202682 180.594694 \nL 217.400082 182.380172 \nL 218.669915 184.067538 \nL 220.024578 185.651474 \nL 221.47654 187.125404 \nL 223.038447 188.481308 \nL 224.723208 189.709477 \nL 226.544056 190.798277 \nL 228.514579 191.733828 \nL 230.648713 192.499699 \nL 232.96069 193.076545 \nL 235.464923 193.441723 \nL 238.17583 193.568905 \nL 241.107546 193.42771 \nL 244.273538 192.983374 \nL 247.686075 192.196531 \nL 251.355535 191.023146 \nL 255.289494 189.414742 \nL 259.491618 187.318984 \nL 263.960281 184.680852 \nL 268.686917 181.444506 \nL 273.654144 177.556107 \nL 278.833644 172.967729 \nL 284.183959 167.642556 \nL 289.648348 161.56129 \nL 295.152916 154.729663 \nL 300.605395 147.186454 \nL 305.895004 139.011247 \nL 310.893802 130.330497 \nL 315.459971 121.320383 \nL 319.443386 112.20468 \nL 322.693353 103.246279 \nL 325.068298 94.731893 \nL 326.446501 86.950717 \nL 326.736665 80.169524 \nL 325.88687 74.607891 \nL 323.890507 70.41776 \nL 320.788126 67.671094 \nL 316.66486 66.357782 \nL 311.643747 66.393517 \nL 305.876039 67.635608 \nL 299.529872 69.90323 \nL 292.778877 72.99827 \nL 285.791936 76.723648 \nL 278.725016 80.897257 \nL 271.715453 85.360842 \nL 264.878658 89.984019 \nL 258.306978 94.664756 \nL 252.070224 99.327082 \nL 246.2174 103.91751 \nL 240.779113 108.400794 \nL 235.770359 112.755793 \nL 231.193343 116.971804 \nL 227.040183 121.045413 \nL 223.295345 124.97807 \nL 219.937767 128.774219 \nL 216.942667 132.439967 \nL 214.283018 135.982123 \nL 211.930728 139.407624 \nL 209.85757 142.723136 \nL 208.035866 145.934861 \nL 206.439005 149.048446 \nL 205.041782 152.068966 \nL 202.753728 157.84839 \nL 201.004391 163.303641 \nL 199.654615 168.45911 \nL 198.591179 173.334753 \nL 197.33903 180.159664 \nL 194.93554 194.031742 \nL 193.762006 199.177705 \nL 192.836726 202.358246 \nL 191.751258 205.341172 \nL 190.461332 208.124215 \nL 188.915754 210.699527 \nL 187.054017 213.051314 \nL 185.982503 214.135449 \nL 184.803726 215.152351 \nL 183.50633 216.095992 \nL 182.077867 216.958868 \nL 180.504712 217.731688 \nL 178.77198 218.403025 \nL 176.863461 218.958875 \nL 174.76157 219.382138 \nL 172.447325 219.652033 \nL 169.90038 219.743405 \nL 167.099114 219.625919 \nL 164.020815 219.263187 \nL 160.641996 218.611821 \nL 156.938866 217.620436 \nL 152.888042 216.228712 \nL 148.467549 214.366595 \nL 143.658195 211.953857 \nL 138.445409 208.900251 \nL 132.82163 205.106624 \nL 126.789342 200.467493 \nL 120.36479 194.875659 \nL 113.582354 188.2295 \nL 106.499447 180.443563 \nL 99.201605 171.462783 \nL 91.807206 161.280158 \nL 84.470916 149.956691 \nL 77.384772 137.641081 \nL 70.775425 124.585128 \nL 64.896426 111.149425 \nL 60.014574 97.793871 \nL 56.390597 85.048888 \nL 54.255685 73.467622 \nL 53.786963 63.564546 \nL 55.085908 55.751813 \nL 58.164219 50.287348 \nL 62.940015 47.247234 \nL 69.245574 46.52822 \nL 76.844915 47.878277 \nL 85.457754 50.945463 \nL 94.785376 55.332619 \nL 104.534387 60.646249 \nL 114.435491 66.532504 \nL 124.256026 72.697897 \nL 133.806405 78.916367 \nL 151.557863 90.922189 \nL 167.002567 101.858074 \nL 173.787216 106.864062 \nL 179.954232 111.569239 \nL 185.528713 115.991089 \nL 190.545997 120.151096 \nL 195.048119 124.071761 \nL 199.08101 127.774683 \nL 202.692334 131.279522 \nL 205.929881 134.60342 \nL 211.46878 140.763729 \nL 216.046635 146.341073 \nL 225.197492 157.98794 \nL 228.552489 161.733016 \nL 230.258327 163.396324 \nL 232.008709 164.911487 \nL 233.820975 166.270177 \nL 235.711093 167.462493 \nL 237.693755 168.476881 \nL 239.782411 169.300045 \nL 241.98926 169.916856 \nL 244.325174 170.310323 \nL 246.799568 170.461539 \nL 249.420189 170.349787 \nL 252.192817 169.952637 \nL 255.120904 169.246272 \nL 258.205085 168.205899 \nL 261.442625 166.806438 \nL 264.826775 165.023412 \nL 268.346048 162.834231 \nL 271.983431 160.219713 \nL 275.71564 157.166073 \nL 279.512341 153.667149 \nL 283.335572 149.726994 \nL 287.139345 145.362542 \nL 290.869596 140.606216 \nL 294.464591 135.508145 \nL 297.855898 130.13766 \nL 300.970076 124.583601 \nL 303.731037 118.953076 \nL 306.0631 113.368396 \nL 307.894661 107.962092 \nL 309.162156 102.870221 \nL 309.814047 98.224398 \nL 309.814436 94.143529 \nL 309.145934 90.725965 \nL 307.81134 88.043327 \nL 305.834063 86.136634 \nL 303.257016 85.015253 \nL 300.140273 84.658655 \nL 296.557657 85.020576 \nL 292.592625 86.03485 \nL 288.333901 87.621939 \nL 283.871279 89.695589 \nL 279.291856 92.168592 \nL 274.676963 94.957459 \nL 270.099895 97.985706 \nL 265.62444 101.185926 \nL 261.304173 104.50058 \nL 257.182359 107.882 \nL 253.292374 111.29176 \nL 249.65847 114.699632 \nL 246.296763 118.082378 \nL 243.216361 121.42254 \nL 240.4205 124.707278 \nL 237.90767 127.927322 \nL 235.672673 131.076116 \nL 233.707553 134.149073 \nL 232.002433 137.142987 \nL 230.546241 140.055599 \nL 229.327312 142.885209 \nL 228.333869 145.630424 \nL 227.554441 148.289958 \nL 226.978167 150.862456 \nL 226.595036 153.346362 \nL 226.396071 155.739845 \nL 226.373445 158.040664 \nL 226.52057 160.246099 \nL 226.832142 162.352879 \nL 227.304153 164.357045 \nL 227.933889 166.253894 \nL 228.719908 168.037845 \nL 229.661985 169.702308 \nL 230.761061 171.239554 \nL 232.019163 172.64056 \nL 233.439311 173.894852 \nL 235.025398 174.990315 \nL 236.782048 175.913022 \nL 238.714449 176.647022 \nL 240.828131 177.174211 \nL 243.128705 177.474136 \nL 245.621542 177.523893 \nL 248.31138 177.298088 \nL 251.201845 176.768915 \nL 254.294864 175.906354 \nL 257.589999 174.678591 \nL 261.083627 173.052696 \nL 264.768031 170.995692 \nL 268.63037 168.475994 \nL 272.651561 165.465357 \nL 276.805119 161.941364 \nL 281.056027 157.890487 \nL 285.359728 153.311572 \nL 289.661407 148.219673 \nL 293.895656 142.649912 \nL 297.986793 136.660872 \nL 301.849977 130.337088 \nL 305.393279 123.78979 \nL 308.520839 117.155445 \nL 311.137014 110.591491 \nL 313.151421 104.269119 \nL 314.484444 98.36348 \nL 315.072822 93.042009 \nL 314.87453 88.452429 \nL 313.872562 84.711808 \nL 312.076885 81.898348 \nL 309.524442 80.047173 \nL 306.277015 79.150385 \nL 302.417351 79.161317 \nL 298.043922 80.002091 \nL 293.264978 81.572906 \nL 288.192553 83.761829 \nL 282.936966 86.453796 \nL 277.602202 89.537962 \nL 272.28243 92.91298 \nL 267.059717 96.490232 \nL 262.00283 100.195157 \nL 257.166987 103.967267 \nL 252.594361 107.759115 \nL 248.31509 111.534688 \nL 244.348638 115.267573 \nL 240.705303 118.939139 \nL 237.387773 122.536785 \nL 234.392633 126.052489 \nL 231.711745 129.481548 \nL 229.333505 132.821595 \nL 227.243912 136.071859 \nL 225.427492 139.23254 \nL 223.868051 142.304428 \nL 222.549289 145.288594 \nL 221.455291 148.18618 \nL 220.570889 150.998238 \nL 219.881952 153.725653 \nL 219.375581 156.369066 \nL 219.040248 158.928819 \nL 218.865881 161.404922 \nL 218.843906 163.797003 \nL 218.967268 166.10428 \nL 219.230422 168.325502 \nL 219.629311 170.458878 \nL 220.161336 172.50204 \nL 220.825314 174.451928 \nL 221.621431 176.304715 \nL 222.551203 178.05567 \nL 223.617417 179.699031 \nL 224.824089 181.22785 \nL 226.176397 182.633797 \nL 227.68062 183.906972 \nL 229.34406 185.035656 \nL 231.17494 186.006064 \nL 233.182288 186.80205 \nL 235.375766 187.404824 \nL 237.765485 187.792643 \nL 240.361715 187.940507 \nL 243.17456 187.819902 \nL 246.213488 187.398599 \nL 249.486789 186.640574 \nL 253.000863 185.506095 \nL 256.759335 183.952093 \nL 260.76201 181.932903 \nL 265.003606 179.401491 \nL 269.472284 176.311344 \nL 274.148037 172.619126 \nL 279.000899 168.288261 \nL 283.989163 163.293462 \nL 289.057729 157.626182 \nL 294.136764 151.300757 \nL 299.140999 144.360736 \nL 303.969986 136.884654 \nL 308.509633 128.990256 \nL 312.635343 120.835845 \nL 316.216915 112.617607 \nL 319.125147 104.561966 \nL 321.239848 96.912822 \nL 322.458539 89.914344 \nL 322.704891 83.791343 \nL 321.935827 78.729874 \nL 320.146178 74.861312 \nL 317.370208 72.252432 \nL 313.679602 70.903271 \nL 309.178305 70.752493 \nL 303.994849 71.689156 \nL 298.273315 73.568014 \nL 292.164026 76.225926 \nL 285.814987 79.496795 \nL 279.364852 83.223393 \nL 272.937712 87.265513 \nL 266.639888 91.504371 \nL 260.558451 95.843907 \nL 254.761216 100.209867 \nL 249.297802 104.54737 \nL 244.201432 108.81787 \nL 239.491103 112.995877 \nL 235.17391 117.065947 \nL 231.247342 121.02001 \nL 227.701398 124.855185 \nL 224.520509 128.572063 \nL 221.685178 132.173401 \nL 219.173369 135.663215 \nL 216.961644 139.046104 \nL 215.026073 142.326807 \nL 213.342934 145.509972 \nL 211.889249 148.599966 \nL 210.64317 151.600825 \nL 209.584244 154.516231 \nL 208.693583 157.349495 \nL 207.349828 162.781231 \nL 206.494271 167.916553 \nL 206.035312 172.772193 \nL 205.905221 177.361906 \nL 206.057429 181.69692 \nL 206.463878 185.786012 \nL 207.112775 189.635338 \nL 208.006909 193.247861 \nL 209.162614 196.622421 \nL 210.609389 199.752275 \nL 211.454789 201.221292 \nL 212.390125 202.622942 \nL 213.422984 203.953692 \nL 214.561912 205.209052 \nL 215.816469 206.383401 \nL 217.197273 207.469758 \nL 218.716052 208.459531 \nL 220.385685 209.342201 \nL 222.220239 210.104948 \nL 224.234987 210.732237 \nL 226.446397 211.205319 \nL 228.872083 211.501657 \nL 231.530703 211.594293 \nL 234.441769 211.451146 \nL 237.625358 211.034265 \nL 241.101688 210.299072 \nL 244.890493 209.19366 \nL 249.010167 207.658216 \nL 253.47662 205.624751 \nL 258.301751 203.017306 \nL 263.491506 199.752905 \nL 269.043426 195.743634 \nL 274.943704 190.900223 \nL 281.163693 185.137674 \nL 287.65607 178.383249 \nL 294.350776 170.587229 \nL 301.151247 161.736202 \nL 307.93145 151.868288 \nL 314.534632 141.08857 \nL 320.774711 129.58214 \nL 326.441291 117.621048 \nL 331.309065 105.56111 \nL 335.151674 93.82528 \nL 337.759321 82.87229 \nL 338.958311 73.153131 \nL 338.629578 65.061565 \nL 336.723201 58.888369 \nL 333.26588 54.788975 \nL 328.359861 52.77174 \nL 322.173352 52.708666 \nL 314.924257 54.364553 \nL 306.860199 57.436814 \nL 298.23808 61.59682 \nL 289.306022 66.525292 \nL 280.289464 71.937521 \nL 271.382083 77.597466 \nL 262.741335 83.322067 \nL 254.487836 88.978693 \nL 246.707478 94.478263 \nL 239.45526 99.766786 \nL 232.759985 104.816693 \nL 226.629148 109.619094 \nL 221.053584 114.177518 \nL 216.011658 118.502965 \nL 211.472839 122.610362 \nL 207.400677 126.516108 \nL 203.755181 130.236468 \nL 200.494682 133.786609 \nL 197.577243 137.180086 \nL 194.961693 140.428632 \nL 190.479476 146.528663 \nL 186.755653 152.14528 \nL 177.761371 166.345929 \nL 174.862641 170.189651 \nL 173.346015 171.930303 \nL 171.762894 173.541975 \nL 170.097996 175.016787 \nL 168.336656 176.345266 \nL 166.464741 177.516204 \nL 164.468589 178.516408 \nL 162.33502 179.330548 \nL 160.051373 179.940919 \nL 157.605625 180.327269 \nL 154.98657 180.4666 \nL 152.184094 180.333079 \nL 149.189544 179.898011 \nL 145.996209 179.129946 \nL 142.599939 177.994971 \nL 138.999895 176.457296 \nL 135.199447 174.480154 \nL 131.207229 172.027184 \nL 127.038307 169.064282 \nL 122.715438 165.562124 \nL 118.270389 161.499304 \nL 113.745151 156.86612 \nL 109.192971 151.668859 \nL 104.678979 145.934308 \nL 100.280226 139.714102 \nL 96.084911 133.088209 \nL 92.190512 126.166884 \nL 88.700779 119.090203 \nL 85.721437 112.024549 \nL 83.354785 105.155567 \nL 81.693514 98.677819 \nL 80.814268 92.781796 \nL 80.771637 87.639816 \nL 81.59334 83.392677 \nL 83.277274 80.13896 \nL 85.790848 77.928784 \nL 89.072766 76.762606 \nL 93.037063 76.595325 \nL 97.57879 77.34435 \nL 102.580727 78.900322 \nL 107.920289 81.138677 \nL 113.475959 83.930331 \nL 119.132717 87.150507 \nL 124.786157 90.685195 \nL 130.345266 94.435031 \nL 135.733859 98.316929 \nL 140.890899 102.264085 \nL 145.76998 106.22472 \nL 150.338164 110.160162 \nL 154.57444 114.042671 \nL 158.468013 117.853234 \nL 162.016534 121.579594 \nL 165.224415 125.214501 \nL 168.101252 128.754273 \nL 170.660449 132.197726 \nL 172.918013 135.545272 \nL 174.891552 138.798321 \nL 176.599437 141.95881 \nL 178.060141 145.028906 \nL 179.291719 148.010791 \nL 180.311404 150.906527 \nL 181.135327 153.717974 \nL 181.778296 156.446754 \nL 182.253675 159.094192 \nL 182.573295 161.661319 \nL 182.747416 164.148859 \nL 182.784725 166.557195 \nL 182.69235 168.886365 \nL 182.475886 171.136005 \nL 182.139446 173.305344 \nL 181.685698 175.393131 \nL 181.115916 177.397583 \nL 180.430025 179.316305 \nL 179.626642 181.146189 \nL 178.70312 182.883326 \nL 177.655582 184.522848 \nL 176.478955 186.058783 \nL 175.167011 187.48388 \nL 173.712397 188.789399 \nL 172.106688 189.964863 \nL 170.340438 190.997786 \nL 168.403257 191.873383 \nL 166.283921 192.574206 \nL 163.970514 193.079802 \nL 161.450621 193.366324 \nL 158.711606 193.406141 \nL 155.740961 193.167483 \nL 152.526784 192.614142 \nL 149.058395 191.705301 \nL 145.327121 190.395557 \nL 141.327289 188.635248 \nL 137.057445 186.371209 \nL 132.521826 183.548157 \nL 127.732101 180.110833 \nL 122.70933 176.007165 \nL 117.486114 171.192544 \nL 112.108816 165.635414 \nL 106.63963 159.324022 \nL 101.158258 152.274117 \nL 95.762829 144.536936 \nL 90.56959 136.206497 \nL 85.710983 127.424782 \nL 81.331657 118.383075 \nL 77.582214 109.31792 \nL 74.610833 100.50051 \nL 72.553197 92.21936 \nL 71.521737 84.757673 \nL 71.595494 78.368221 \nL 72.812065 73.24965 \nL 75.162931 69.528508 \nL 78.593018 67.250087 \nL 83.00466 66.379646 \nL 88.265295 66.813016 \nL 94.217791 68.394134 \nL 100.691867 70.935667 \nL 107.515186 74.239198 \nL 114.522913 78.112186 \nL 121.565123 82.380254 \nL 128.511675 86.894358 \nL 135.254797 91.533676 \nL 141.709649 96.205007 \nL 147.81336 100.840051 \nL 153.52308 105.39154 \nL 158.813422 109.829073 \nL 163.673651 114.135078 \nL 168.104911 118.301333 \nL 172.117615 122.326063 \nL 175.729101 126.211719 \nL 178.961625 129.963282 \nL 181.84066 133.587056 \nL 184.393534 137.089873 \nL 186.648317 140.478532 \nL 188.632989 143.759513 \nL 190.374802 146.938804 \nL 191.89983 150.021835 \nL 193.232661 153.013469 \nL 195.411622 158.739407 \nL 197.073665 164.145931 \nL 198.352856 169.256594 \nL 199.35783 174.090789 \nL 200.536428 180.859151 \nL 202.780619 194.624127 \nL 203.870839 199.736192 \nL 204.729719 202.899338 \nL 205.737124 205.870158 \nL 206.934417 208.647879 \nL 208.369441 211.226849 \nL 210.098798 213.594481 \nL 211.094539 214.692496 \nL 212.190323 215.728224 \nL 213.396824 216.696552 \nL 214.725766 217.591075 \nL 216.190007 218.403831 \nL 217.803635 219.124977 \nL 219.582042 219.742393 \nL 221.541991 220.241241 \nL 223.701665 220.603405 \nL 226.080678 220.806863 \nL 228.700029 220.824959 \nL 231.582001 220.62555 \nL 234.749951 220.170087 \nL 238.227944 219.412625 \nL 242.040236 218.298794 \nL 246.210482 216.764844 \nL 250.76064 214.736887 \nL 255.709448 212.130534 \nL 261.070431 208.851238 \nL 266.849289 204.795729 \nL 273.04062 199.855109 \nL 279.623923 193.92018 \nL 286.558961 186.889755 \nL 293.780611 178.682477 \nL 301.193659 169.252473 \nL 308.668158 158.608356 \nL 316.036367 146.834091 \nL 323.092542 134.108693 \nL 329.596967 120.720019 \nL 335.28553 107.066973 \nL 339.88543 93.644472 \nL 343.136482 81.007913 \nL 344.816022 69.718874 \nL 344.763771 60.279502 \nL 342.902169 53.068755 \nL 339.24811 48.295125 \nL 333.913217 45.97725 \nL 327.09247 45.956264 \nL 319.043623 47.934616 \nL 310.061386 51.530107 \nL 300.451101 56.33163 \nL 290.505708 61.945977 \nL 280.488475 68.029809 \nL 270.622267 74.305954 \nL 261.084861 80.566721 \nL 243.486371 92.520191 \nL 228.29103 103.308914 \nL 221.645243 108.22778 \nL 215.617949 112.843602 \nL 210.179385 117.176708 \nL 205.290761 121.250165 \nL 200.907596 125.08718 \nL 196.982328 128.709476 \nL 193.466307 132.136446 \nL 187.470322 138.468357 \nL 182.554364 144.183687 \nL 171.250354 158.087044 \nL 167.833789 161.650787 \nL 166.086008 163.215173 \nL 164.287014 164.624841 \nL 162.420076 165.870634 \nL 160.469875 166.941781 \nL 158.422437 167.825854 \nL 156.265137 168.508685 \nL 153.986729 168.974326 \nL 151.577451 169.205015 \nL 149.029215 169.181262 \nL 146.335845 168.881958 \nL 143.493424 168.284627 \nL 140.500707 167.365831 \nL 137.359627 166.101752 \nL 134.075893 164.469046 \nL 130.659646 162.445925 \nL 127.126174 160.013598 \nL 123.496647 157.158022 \nL 119.798792 153.871967 \nL 116.067513 150.157359 \nL 112.345281 146.027783 \nL 108.682257 141.510922 \nL 105.135985 136.65076 \nL 101.770626 131.509123 \nL 98.655502 126.166274 \nL 95.863051 120.720114 \nL 93.466074 115.283789 \nL 91.534454 109.981501 \nL 90.131476 104.94265 \nL 89.310048 100.294709 \nL 89.109167 96.155498 \nL 89.551011 92.625695 \nL 90.638953 89.782435 \nL 92.356837 87.675035 \nL 94.669498 86.323032 \nL 97.524637 85.717001 \nL 100.855691 85.821628 \nL 104.585529 86.580707 \nL 108.630484 87.923037 \nL 112.904426 89.768641 \nL 117.322476 92.034527 \nL 121.804144 94.639458 \nL 126.275804 97.507558 \nL 130.672357 100.570719 \nL 134.938196 103.769823 \nL 139.027525 107.055068 \nL 142.904152 110.385633 \nL 146.540909 113.728829 \nL 149.918797 117.059089 \nL 153.025972 120.35682 \nL 155.856669 123.607275 \nL 158.410119 126.799568 \nL 160.68953 129.925745 \nL 162.701145 132.980072 \nL 164.453391 135.95838 \nL 165.956149 138.857617 \nL 167.220137 141.675436 \nL 168.256379 144.409901 \nL 169.07578 147.059247 \nL 169.688795 149.621728 \nL 170.105162 152.095447 \nL 170.333704 154.478236 \nL 170.382183 156.76757 \nL 170.257207 158.960451 \nL 169.964166 161.053323 \nL 169.507215 163.041968 \nL 168.889259 164.921418 \nL 168.111984 166.685814 \nL 167.175896 168.328307 \nL 166.080381 169.840913 \nL 164.823784 171.214351 \nL 163.403504 172.437898 \nL 161.816127 173.499239 \nL 160.057567 174.384256 \nL 158.123252 175.076904 \nL 156.008353 175.559019 \nL 153.708058 175.810227 \nL 151.217899 175.807851 \nL 148.534174 175.526919 \nL 145.654422 174.940301 \nL 142.578008 174.018959 \nL 139.306823 172.732462 \nL 135.846059 171.049722 \nL 132.20512 168.940138 \nL 128.398605 166.37509 \nL 124.447367 163.329931 \nL 120.379589 159.786458 \nL 116.231791 155.735886 \nL 112.04968 151.182184 \nL 107.888718 146.145632 \nL 103.814232 140.666256 \nL 99.900893 134.80673 \nL 96.231397 128.654215 \nL 92.894291 122.320511 \nL 89.980751 115.939997 \nL 87.580482 109.664988 \nL 85.776924 103.658481 \nL 84.642079 98.084647 \nL 84.231474 93.097985 \nL 84.579827 88.832379 \nL 85.6979 85.391539 \nL 87.571032 82.842165 \nL 90.159568 81.210699 \nL 93.401112 80.484149 \nL 97.2144 80.614513 \nL 101.504266 81.525896 \nL 106.167202 83.123212 \nL 111.096847 85.301031 \nL 116.189023 87.951693 \nL 121.345876 90.971831 \nL 126.478999 94.267025 \nL 131.51148 97.754683 \nL 136.378902 101.36515 \nL 141.029544 105.041687 \nL 145.42388 108.739524 \nL 149.533618 112.424417 \nL 153.340437 116.07099 \nL 156.834575 119.661053 \nL 160.013378 123.182042 \nL 162.879918 126.625676 \nL 165.441675 129.986825 \nL 167.709392 133.262587 \nL 169.696046 136.45158 \nL 171.416009 139.553403 \nL 172.884314 142.568228 \nL 174.116086 145.496521 \nL 175.126075 148.338818 \nL 175.928305 151.095596 \nL 176.535802 153.767159 \nL 176.960398 156.353555 \nL 177.212604 158.854527 \nL 177.301514 161.269435 \nL 177.234775 163.597231 \nL 177.018549 165.836378 \nL 176.657532 167.984807 \nL 176.154966 170.039836 \nL 175.512676 171.99808 \nL 174.731106 173.855341 \nL 173.809369 175.606506 \nL 172.745298 177.245403 \nL 171.535511 178.764649 \nL 170.175468 180.155448 \nL 168.659562 181.407427 \nL 166.981203 182.508375 \nL 165.132941 183.444026 \nL 163.106609 184.197787 \nL 160.893502 184.75047 \nL 158.484616 185.080023 \nL 155.870945 185.161298 \nL 153.043857 184.965848 \nL 149.995579 184.46182 \nL 146.719782 183.613983 \nL 143.212322 182.383949 \nL 139.472136 180.730724 \nL 135.502302 178.611581 \nL 131.311274 175.983517 \nL 126.914297 172.805294 \nL 122.334956 169.040224 \nL 117.60675 164.659831 \nL 112.774689 159.648272 \nL 107.896639 154.007511 \nL 103.044254 147.762884 \nL 98.303232 140.968575 \nL 93.772598 133.712212 \nL 89.562711 126.117595 \nL 85.791763 118.344555 \nL 82.580778 110.584851 \nL 80.047122 103.05369 \nL 78.297045 95.976885 \nL 77.417848 89.574707 \nL 77.470649 84.044325 \nL 78.48464 79.543385 \nL 80.453746 76.177295 \nL 83.336152 73.992302 \nL 87.056936 72.9753 \nL 91.513337 73.060142 \nL 96.581999 74.138749 \nL 102.127248 76.075053 \nL 108.009337 78.719247 \nL 114.091903 81.920556 \nL 120.248023 85.537223 \nL 126.364626 89.44316 \nL 132.345141 93.531546 \nL 138.110649 97.715763 \nL 143.599771 101.928445 \nL 148.76764 106.119397 \nL 153.584268 110.252875 \nL 158.032541 114.304782 \nL 162.106145 118.260018 \nL 165.807487 122.110141 \nL 169.145768 125.851468 \nL 172.135265 129.483561 \nL 174.793824 133.00805 \nL 177.1416 136.427799 \nL 179.200011 139.746316 \nL 180.990908 142.967351 \nL 182.535921 146.094625 \nL 183.855957 149.131695 \nL 184.970838 152.081853 \nL 185.899049 154.948094 \nL 186.657567 157.733117 \nL 187.261771 160.439308 \nL 187.725392 163.068793 \nL 188.277622 168.104773 \nL 188.391856 172.852933 \nL 188.12161 177.321326 \nL 187.498411 181.514033 \nL 186.533816 185.430425 \nL 185.221015 189.063954 \nL 184.427163 190.770503 \nL 183.535901 192.400147 \nL 182.541594 193.949365 \nL 181.437556 195.413703 \nL 180.216047 196.787613 \nL 178.868256 198.064256 \nL 177.384288 199.235275 \nL 175.753168 200.290506 \nL 173.962827 201.217672 \nL 172.000135 202.002021 \nL 169.85094 202.625895 \nL 167.500153 203.068284 \nL 164.931882 203.304286 \nL 162.129641 203.304572 \nL 159.076655 203.03482 \nL 155.756281 202.455151 \nL 152.152604 201.519671 \nL 148.251219 200.176135 \nL 144.040276 198.365917 \nL 139.511797 196.024403 \nL 134.663361 193.082025 \nL 129.500148 189.46623 \nL 124.037361 185.104668 \nL 118.303044 179.929901 \nL 112.341098 173.885971 \nL 106.214413 166.936878 \nL 100.007685 159.076897 \nL 93.829541 150.342116 \nL 87.81333 140.821956 \nL 82.115842 130.668769 \nL 76.913348 120.103046 \nL 72.394332 109.411281 \nL 68.748955 98.934292 \nL 66.155612 89.045048 \nL 64.765944 80.117134 \nL 64.690125 72.488186 \nL 65.984797 66.42429 \nL 68.645715 62.092291 \nL 72.606589 59.54574 \nL 77.744404 58.726869 \nL 83.89037 59.483315 \nL 90.844535 61.594989 \nL 98.391836 64.805073 \nL 106.317289 68.849139 \nL 114.418678 73.478478 \nL 122.515787 78.475519 \nL 130.456063 83.661628 \nL 138.116947 88.89862 \nL 145.405618 94.085874 \nL 152.256892 99.154898 \nL 158.629985 104.06307 \nL 164.504756 108.787345 \nL 169.877859 113.318725 \nL 174.759096 117.657708 \nL 179.168149 121.810722 \nL 183.131753 125.787536 \nL 186.681346 129.599396 \nL 189.851166 133.257817 \nL 192.676747 136.773827 \nL 195.193779 140.157535 \nL 197.437255 143.41794 \nL 199.440873 146.562861 \nL 202.854621 152.531974 \nL 205.667275 158.106275 \nL 209.187927 165.784837 \nL 212.350871 172.682428 \nL 214.480901 176.848521 \nL 216.759839 180.65524 \nL 217.987653 182.416454 \nL 219.291171 184.07711 \nL 220.682912 185.631475 \nL 222.17548 187.072489 \nL 223.781658 188.391567 \nL 225.514491 189.578364 \nL 227.387331 190.620512 \nL 229.413862 191.503302 \nL 231.608074 192.209366 \nL 233.984196 192.718306 \nL 236.556559 193.006335 \nL 239.33937 193.045876 \nL 242.346416 192.805223 \nL 245.590614 192.248263 \nL 249.083434 191.334308 \nL 252.834134 190.01813 \nL 256.848796 188.250324 \nL 261.129127 185.97808 \nL 265.670999 183.146586 \nL 270.462739 179.701216 \nL 275.483188 175.590699 \nL 280.699567 170.771414 \nL 286.065327 165.212976 \nL 291.518089 158.904961 \nL 296.978044 151.86452 \nL 302.347089 144.144299 \nL 307.509202 135.839539 \nL 312.332444 127.093054 \nL 316.672999 118.0964 \nL 320.38142 109.08561 \nL 323.311045 100.330443 \nL 325.327959 92.11708 \nL 326.321643 84.725621 \nL 326.214956 78.405271 \nL 324.972008 73.351109 \nL 322.602654 69.686497 \nL 319.162802 67.454362 \nL 314.750384 66.618625 \nL 309.497661 67.074889 \nL 303.560991 68.667854 \nL 297.109505 71.211638 \nL 290.314188 74.509732 \nL 283.338429 78.371617 \nL 276.33075 82.624822 \nL 269.420017 87.121985 \nL 262.712923 91.743597 \nL 256.293445 96.397434 \nL 250.223797 101.015879 \nL 244.546375 105.552067 \nL 239.28629 109.975797 \nL 234.454144 114.269544 \nL 230.048773 118.425038 \nL 226.059842 122.4404 \nL 222.470148 126.317949 \nL 219.257624 130.06251 \nL 216.397007 133.680246 \nL 213.861205 137.177844 \nL 211.622385 140.561992 \nL 209.652809 143.839061 \nL 207.925464 147.014956 \nL 206.414506 150.095039 \nL 205.095571 153.084108 \nL 202.944745 158.805896 \nL 201.312653 164.209367 \nL 200.0668 169.31796 \nL 199.100098 174.15104 \nL 197.991689 180.919678 \nL 195.409327 198.166817 \nL 194.371732 203.008692 \nL 193.538026 206.004681 \nL 192.550337 208.818289 \nL 191.368492 211.448432 \nL 189.945173 213.889183 \nL 188.223716 216.1277 \nL 187.230326 217.164482 \nL 186.135663 218.141134 \nL 184.928882 219.052479 \nL 183.598053 219.892041 \nL 182.130057 220.651755 \nL 180.510505 221.321634 \nL 178.723653 221.889377 \nL 176.752321 222.339889 \nL 174.577852 222.654718 \nL 172.180091 222.811392 \nL 169.537418 222.782652 \nL 166.626864 222.535575 \nL 163.42431 222.030599 \nL 159.904855 221.220468 \nL 156.04335 220.049148 \nL 151.815214 218.450807 \nL 147.197566 216.348988 \nL 142.170789 213.656195 \nL 136.720633 210.274208 \nL 130.840922 206.095567 \nL 124.537006 201.006782 \nL 117.829937 194.893974 \nL 110.761375 187.651624 \nL 103.399024 179.195147 \nL 95.842095 169.477514 \nL 88.226216 158.509481 \nL 80.726579 146.381748 \nL 73.55807 133.28572 \nL 66.970778 119.527742 \nL 61.239617 105.530575 \nL 56.64737 91.816134 \nL 53.461903 78.966296 \nL 51.909762 67.563796 \nL 52.150191 58.122173 \nL 54.25431 51.019106 \nL 58.193945 46.448872 \nL 63.842676 44.405634 \nL 70.989154 44.700455 \nL 79.359743 47.005566 \nL 88.646077 50.912858 \nL 98.532488 55.992375 \nL 108.719467 61.839881 \nL 118.940752 68.107974 \nL 128.973495 74.520721 \nL 147.817522 87.033422 \nL 164.377243 98.468508 \nL 178.354684 108.57914 \nL 184.390692 113.156176 \nL 189.831332 117.443035 \nL 194.718099 121.464722 \nL 199.097692 125.245771 \nL 203.019457 128.80878 \nL 206.533454 132.173678 \nL 212.533926 138.373899 \nL 217.470213 143.947198 \nL 227.198708 155.446445 \nL 230.69854 159.08657 \nL 232.463687 160.687968 \nL 234.26565 162.134878 \nL 236.122212 163.418932 \nL 238.049511 164.53024 \nL 240.06215 165.457325 \nL 242.173214 166.187109 \nL 244.394262 166.704863 \nL 246.735254 166.994238 \nL 249.204397 167.037289 \nL 251.807942 166.814661 \nL 254.549902 166.305807 \nL 257.43168 165.489349 \nL 260.451623 164.343671 \nL 263.604512 162.847634 \nL 266.880973 160.981607 \nL 270.266859 158.728732 \nL 273.74261 156.076477 \nL 277.282644 153.018477 \nL 280.854831 149.556604 \nL 284.420165 145.703133 \nL 287.932641 141.482953 \nL 291.339507 136.93547 \nL 294.581974 132.116032 \nL 297.596415 127.096516 \nL 300.316186 121.9648 \nL 302.674002 116.822782 \nL 304.604805 111.782957 \nL 306.04903 106.963462 \nL 306.955939 102.481981 \nL 307.286864 98.448991 \nL 307.017923 94.961084 \nL 306.141995 92.095044 \nL 304.669638 89.903545 \nL 302.628895 88.412879 \nL 300.063952 87.62295 \nL 297.032803 87.509375 \nL 293.604141 88.027397 \nL 289.853816 89.11684 \nL 285.861178 90.707536 \nL 281.705637 92.72456 \nL 277.463621 95.092803 \nL 273.206127 97.740584 \nL 268.996952 100.602217 \nL 264.891575 103.619513 \nL 260.936608 106.742475 \nL 257.169798 109.929255 \nL 253.620391 113.145635 \nL 250.309807 116.364199 \nL 247.252484 119.563418 \nL 244.456821 122.726627 \nL 241.926155 125.841118 \nL 239.659721 128.897276 \nL 237.653543 131.887861 \nL 235.901245 134.80737 \nL 234.394769 137.651575 \nL 233.125004 140.41708 \nL 232.082304 143.101025 \nL 231.256934 145.700824 \nL 230.639414 148.213968 \nL 230.220809 150.637844 \nL 229.992935 152.969627 \nL 229.948518 155.206132 \nL 230.081312 157.343723 \nL 230.386163 159.378215 \nL 230.859048 161.304731 \nL 231.497079 163.117634 \nL 232.298493 164.81039 \nL 233.262594 166.375453 \nL 234.389704 167.804104 \nL 235.681068 169.086356 \nL 237.138739 170.210771 \nL 238.76545 171.164337 \nL 240.564429 171.932316 \nL 242.539202 172.498101 \nL 244.69333 172.843156 \nL 247.03011 172.946915 \nL 249.5522 172.786836 \nL 252.26119 172.338489 \nL 255.157059 171.575814 \nL 258.237594 170.471556 \nL 261.497675 168.997917 \nL 264.928494 167.127511 \nL 268.516685 164.834667 \nL 272.243416 162.097102 \nL 276.083428 158.898007 \nL 280.004179 155.228558 \nL 283.96506 151.090759 \nL 287.916872 146.500445 \nL 291.801675 141.490279 \nL 295.553116 136.112344 \nL 299.097438 130.43995 \nL 302.355221 124.568119 \nL 305.243954 118.612352 \nL 307.681417 112.705254 \nL 309.589703 106.991002 \nL 310.899643 101.617741 \nL 311.555273 96.728619 \nL 311.517893 92.452328 \nL 310.769194 88.894346 \nL 309.313148 86.129975 \nL 307.176318 84.200216 \nL 304.406578 83.110868 \nL 301.070346 82.834896 \nL 297.248628 83.317412 \nL 293.032397 84.482503 \nL 288.517726 86.24086 \nL 283.801114 88.497092 \nL 278.975437 91.156111 \nL 274.126677 94.128133 \nL 269.331567 97.332017 \nL 264.656191 100.697248 \nL 260.155335 104.16454 \nL 255.872557 107.685567 \nL 251.840783 111.222047 \nL 248.083225 114.744467 \nL 244.614549 118.230675 \nL 241.442129 121.664475 \nL 238.567321 125.034361 \nL 235.986673 128.332417 \nL 233.693046 131.553338 \nL 231.676612 134.693738 \nL 229.925736 137.751499 \nL 228.427703 140.725342 \nL 227.16934 143.614506 \nL 226.137514 146.418446 \nL 225.319533 149.136656 \nL 224.703446 151.768554 \nL 224.278285 154.31334 \nL 224.03423 156.769916 \nL 223.962718 159.136814 \nL 224.056528 161.412105 \nL 224.309807 163.593339 \nL 224.718094 165.677454 \nL 225.278306 167.6607 \nL 225.988709 169.538528 \nL 226.848884 171.30547 \nL 227.859674 172.955023 \nL 229.023116 174.479477 \nL 230.342371 175.869771 \nL 231.821625 177.115306 \nL 233.465983 178.203729 \nL 235.281329 179.12075 \nL 237.274165 179.849905 \nL 239.451397 180.372343 \nL 241.820075 180.666639 \nL 244.387086 180.708612 \nL 247.158743 180.471255 \nL 250.140295 179.924721 \nL 253.335333 179.03648 \nL 256.745063 177.771685 \nL 260.367458 176.093858 \nL 264.196252 173.965882 \nL 268.219805 171.351555 \nL 272.419862 168.217613 \nL 276.770223 164.536469 \nL 281.235419 160.289541 \nL 285.769508 155.471228 \nL 290.315094 150.093332 \nL 294.802863 144.189582 \nL 299.151712 137.819828 \nL 303.269856 131.073197 \nL 307.056978 124.069386 \nL 310.407668 116.957381 \nL 313.216075 109.910863 \nL 315.381595 103.120112 \nL 316.815229 96.780665 \nL 317.446011 91.079758 \nL 317.226756 86.182174 \nL 316.138393 82.217361 \nL 314.192274 79.269912 \nL 311.430099 77.374819 \nL 307.921385 76.517885 \nL 303.758846 76.641209 \nL 299.052275 77.652335 \nL 293.92166 79.435514 \nL 288.490314 81.863129 \nL 282.878688 84.805999 \nL 277.199284 88.141639 \nL 271.552915 91.759795 \nL 266.026396 95.565703 \nL 260.691425 99.481141 \nL 255.604566 103.443952 \nL 250.808016 107.406523 \nL 246.330887 111.333762 \nL 242.190844 115.200855 \nL 238.395858 118.991099 \nL 234.945957 122.694002 \nL 231.834899 126.303601 \nL 229.051691 129.81715 \nL 226.581917 133.234084 \nL 224.408889 136.555234 \nL 222.514591 139.78227 \nL 220.880471 142.91727 \nL 219.48805 145.962458 \nL 218.319412 148.920038 \nL 217.357558 151.79204 \nL 216.586678 154.580297 \nL 215.992328 157.286373 \nL 215.561549 159.911547 \nL 215.282929 162.456781 \nL 215.146635 164.922734 \nL 215.144407 167.309731 \nL 215.269537 169.617723 \nL 215.516838 171.846281 \nL 215.882591 173.994548 \nL 216.36451 176.061167 \nL 216.961684 178.044261 \nL 217.674543 179.941291 \nL 218.504804 181.749019 \nL 219.455444 183.463358 \nL 220.530655 185.079236 \nL 221.735812 186.590455 \nL 223.077443 187.989487 \nL 224.563184 189.267264 \nL 226.201742 190.412937 \nL 228.002826 191.41358 \nL 229.977071 192.253891 \nL 232.135932 192.915836 \nL 234.491524 193.378291 \nL 237.056411 193.616635 \nL 239.843336 193.602379 \nL 242.864828 193.302802 \nL 246.132708 192.680683 \nL 249.657446 191.69413 \nL 253.447327 190.296663 \nL 257.507415 188.437609 \nL 261.838286 186.062966 \nL 266.434485 183.11691 \nL 271.282751 179.544132 \nL 276.359966 175.293226 \nL 281.631007 170.321245 \nL 287.046486 164.599533 \nL 292.540722 158.120784 \nL 298.030168 150.90688 \nL 303.412677 143.016956 \nL 308.568074 134.554435 \nL 313.360473 125.671691 \nL 317.642725 116.570458 \nL 321.263126 107.496565 \nL 324.074275 98.727862 \nL 325.943442 90.555556 \nL 326.763389 83.260596 \nL 326.462303 77.088277 \nL 325.011338 72.225168 \nL 322.428522 68.782497 \nL 318.778282 66.788996 \nL 314.166658 66.194222 \nL 308.732861 66.880898 \nL 302.638515 68.683632 \nL 296.056127 71.409865 \nL 289.158129 74.859786 \nL 282.107641 78.842571 \nL 275.051547 83.187621 \nL 268.116072 87.750891 \nL 261.404654 92.416899 \nL 254.997757 97.09756 \nL 248.954076 101.729151 \nL 243.312675 106.268229 \nL 238.095646 110.687427 \nL 233.310941 114.971492 \nL 228.955159 119.113899 \nL 225.016106 123.114055 \nL 221.475095 126.975196 \nL 218.308891 130.702786 \nL 215.491348 134.303409 \nL 212.994728 137.784018 \nL 210.790743 141.151443 \nL 208.85136 144.412143 \nL 207.149383 147.572041 \nL 205.658882 150.636489 \nL 204.355467 153.610276 \nL 202.22096 159.302396 \nL 200.585854 164.677145 \nL 199.317939 169.757616 \nL 197.876085 176.867351 \nL 194.291462 196.694791 \nL 193.447482 200.020587 \nL 192.470577 203.147174 \nL 191.319637 206.075105 \nL 189.948213 208.800446 \nL 188.302203 211.313003 \nL 187.356627 212.483946 \nL 186.317393 213.593603 \nL 185.174463 214.63753 \nL 183.91683 215.610127 \nL 182.532424 216.504402 \nL 181.008032 217.311693 \nL 179.329212 218.02132 \nL 177.480218 218.620178 \nL 175.443948 219.092258 \nL 173.20191 219.418072 \nL 170.73424 219.573996 \nL 168.019766 219.531523 \nL 165.036162 219.256395 \nL 161.760207 218.707686 \nL 158.168209 217.836821 \nL 154.236637 216.586607 \nL 149.943005 214.890398 \nL 145.267114 212.671493 \nL 140.192727 209.843085 \nL 134.70977 206.309008 \nL 128.81713 201.965781 \nL 122.526144 196.706472 \nL 115.864731 190.427036 \nL 108.882159 183.035721 \nL 101.654069 174.466046 \nL 94.287389 164.693362 \nL 86.924294 153.754157 \nL 79.744174 141.766079 \nL 72.962297 128.94523 \nL 66.82388 115.615604 \nL 61.592444 102.205151 \nL 57.532352 89.223719 \nL 54.886548 77.221389 \nL 53.852046 66.730788 \nL 54.55699 58.203105 \nL 57.043694 51.950942 \nL 61.261235 48.111799 \nL 67.069382 46.640364 \nL 74.253126 47.330417 \nL 82.544894 49.858652 \nL 91.650186 53.838633 \nL 101.272292 58.872343 \nL 111.132876 64.59084 \nL 120.986632 70.679976 \nL 130.629637 76.891616 \nL 139.902232 83.043749 \nL 156.908384 94.724968 \nL 164.519781 100.140535 \nL 171.504889 105.247487 \nL 177.868156 110.050547 \nL 183.630194 114.564766 \nL 188.8232 118.81054 \nL 193.487174 122.810134 \nL 197.666879 126.585506 \nL 201.40948 130.156958 \nL 204.762762 133.542432 \nL 210.488169 139.814178 \nL 215.197297 145.492601 \nL 226.153589 159.37231 \nL 229.516032 162.948207 \nL 231.244927 164.521636 \nL 233.029891 165.942178 \nL 234.887371 167.200525 \nL 236.832511 168.285733 \nL 238.879229 169.185154 \nL 241.040206 169.884336 \nL 243.326851 170.366948 \nL 245.749192 170.61475 \nL 248.315681 170.607614 \nL 251.032951 170.323649 \nL 253.905454 169.739396 \nL 256.935037 168.830207 \nL 260.120398 167.57084 \nL 263.456485 165.936245 \nL 266.933782 163.902698 \nL 270.53754 161.449241 \nL 274.247005 158.559477 \nL 278.034628 155.223741 \nL 281.865408 151.441576 \nL 285.696374 147.22442 \nL 289.476384 142.598295 \nL 293.14635 137.606244 \nL 296.63995 132.310194 \nL 299.885054 126.791784 \nL 302.805803 121.151795 \nL 305.325469 115.50782 \nL 307.369885 109.989963 \nL 308.871377 104.734741 \nL 309.772832 99.877461 \nL 310.031539 95.543839 \nL 309.622415 91.841852 \nL 308.540225 88.854663 \nL 306.800504 86.635748 \nL 304.439039 85.206725 \nL 301.509973 84.558054 \nL 298.082726 84.652378 \nL 294.238062 85.42983 \nL 290.063751 86.814591 \nL 285.650216 88.721552 \nL 281.086522 91.062569 \nL 276.457009 93.751655 \nL 271.838669 96.708815 \nL 267.299385 99.862617 \nL 262.896943 103.151401 \nL 258.678698 106.523558 \nL 254.68184 109.937124 \nL 250.934048 113.3588 \nL 247.454413 116.762808 \nL 244.254536 120.129661 \nL 241.339686 123.444935 \nL 238.709939 126.698175 \nL 236.361277 129.88195 \nL 234.286569 132.99108 \nL 232.47646 136.021959 \nL 230.920134 138.972088 \nL 229.605966 141.839665 \nL 228.522059 144.623276 \nL 227.656677 147.321683 \nL 226.998594 149.933625 \nL 226.53736 152.45772 \nL 226.263504 154.892308 \nL 226.16867 157.235376 \nL 226.245724 159.484473 \nL 226.488807 161.636622 \nL 226.893366 163.688207 \nL 227.45615 165.634918 \nL 228.175198 167.471603 \nL 229.049798 169.192175 \nL 230.080436 170.789462 \nL 231.268726 172.255068 \nL 232.617325 173.579217 \nL 234.129824 174.750565 \nL 235.810623 175.756034 \nL 237.664773 176.580619 \nL 239.697776 177.207198 \nL 241.915357 177.616357 \nL 244.323159 177.786261 \nL 246.926397 177.692576 \nL 249.729411 177.308467 \nL 252.73513 176.604725 \nL 255.944457 175.55009 \nL 259.355493 174.111795 \nL 262.962689 172.256413 \nL 266.755851 169.951159 \nL 270.719043 167.165554 \nL 274.829436 163.873708 \nL 279.056144 160.057107 \nL 283.359133 155.707946 \nL 287.688304 150.832893 \nL 291.982968 145.457019 \nL 296.171811 139.627514 \nL 300.1736 133.416742 \nL 303.89881 126.92396 \nL 307.25226 120.274973 \nL 310.13685 113.619213 \nL 312.458249 107.123884 \nL 314.130322 100.965168 \nL 315.080784 95.317224 \nL 315.256591 90.33993 \nL 314.628333 86.167102 \nL 313.193161 82.896749 \nL 310.97573 80.584731 \nL 308.027019 79.242821 \nL 304.421215 78.84114 \nL 300.250933 79.314384 \nL 295.621492 80.570632 \nL 290.64479 82.50125 \nL 285.43342 84.990431 \nL 280.095589 87.923571 \nL 274.731034 91.193505 \nL 269.428181 94.704783 \nL 264.262439 98.375748 \nL 259.295544 102.139168 \nL 254.575756 105.941566 \nL 250.138689 109.741779 \nL 246.008533 113.509215 \nL 242.199542 117.221943 \nL 238.717597 120.864882 \nL 235.561751 124.428197 \nL 232.725702 127.905906 \nL 230.19911 131.294804 \nL 227.968757 134.593594 \nL 226.019553 137.80219 \nL 224.335363 140.92127 \nL 222.89969 143.951901 \nL 221.69622 146.895305 \nL 220.709242 149.752665 \nL 219.923972 152.525048 \nL 219.326787 155.213286 \nL 218.905383 157.81794 \nL 218.648891 160.339269 \nL 218.547929 162.777177 \nL 218.594636 165.131158 \nL 218.782672 167.400277 \nL 219.1072 169.583124 \nL 219.564861 171.677732 \nL 220.153735 173.681506 \nL 220.873293 175.591147 \nL 221.724364 177.402524 \nL 222.709074 179.110581 \nL 223.83081 180.709165 \nL 225.094155 182.19086 \nL 226.504835 183.546812 \nL 228.069651 184.766496 \nL 229.796393 185.837471 \nL 231.693745 186.74512 \nL 233.771139 187.472347 \nL 236.038596 187.999279 \nL 238.506497 188.302952 \nL 241.185288 188.357021 \nL 244.085101 188.131484 \nL 247.215282 187.592538 \nL 250.583765 186.702522 \nL 254.196305 185.420094 \nL 258.055545 183.7007 \nL 262.159866 181.497473 \nL 266.502056 178.762664 \nL 271.067752 175.449823 \nL 275.833735 171.516747 \nL 280.766106 166.929485 \nL 285.818506 161.667233 \nL 290.930488 155.72815 \nL 296.026344 149.135769 \nL 301.014681 141.945331 \nL 305.789045 134.249321 \nL 310.230025 126.180869 \nL 314.209006 117.913933 \nL 317.593783 109.658892 \nL 320.255817 101.65297 \nL 322.078696 94.145494 \nL 322.967036 87.379259 \nL 322.85471 81.570216 \nL 321.711297 76.888639 \nL 319.545777 73.444785 \nL 316.406784 71.281523 \nL 312.379363 70.374986 \nL 307.578687 70.642753 \nL 302.141605 71.957401 \nL 296.217217 74.162884 \nL 289.957598 77.090987 \nL 283.509616 80.575459 \nL 277.008427 84.462699 \nL 270.57297 88.618604 \nL 264.303407 92.931715 \nL 258.280221 97.313568 \nL 252.564687 101.697013 \nL 247.200286 106.033477 \nL 242.214696 110.289677 \nL 237.622102 114.444351 \nL 233.425556 118.485298 \nL 229.619243 122.406841 \nL 226.190566 126.207827 \nL 223.121975 129.89003 \nL 220.392534 133.456979 \nL 217.97922 136.913167 \nL 215.857983 140.26345 \nL 214.004577 143.512712 \nL 212.3952 146.665637 \nL 211.006967 149.726575 \nL 209.818253 152.699531 \nL 208.808915 155.588123 \nL 207.960429 158.395611 \nL 206.68036 163.778764 \nL 205.863539 168.869251 \nL 205.421177 173.683748 \nL 205.287769 178.236153 \nL 205.41826 182.538023 \nL 205.785344 186.598716 \nL 206.3772 190.425257 \nL 207.195813 194.021874 \nL 208.255939 197.389213 \nL 209.584711 200.523107 \nL 211.221866 203.412743 \nL 212.172134 204.760124 \nL 213.220533 206.03795 \nL 214.376008 207.241593 \nL 215.648521 208.365259 \nL 217.049111 209.40175 \nL 218.589941 210.342204 \nL 220.28436 211.175761 \nL 222.146931 211.889186 \nL 224.193454 212.466413 \nL 226.440968 212.88803 \nL 228.907687 213.13069 \nL 231.612909 213.16642 \nL 234.576806 212.961902 \nL 237.820139 212.477669 \nL 241.363785 211.667321 \nL 245.228106 210.476775 \nL 249.432034 208.843673 \nL 253.991852 206.69711 \nL 258.919592 203.957865 \nL 264.220961 200.539476 \nL 269.892768 196.350494 \nL 275.919757 191.298398 \nL 282.270964 185.295683 \nL 288.895644 178.268529 \nL 295.719012 170.168368 \nL 302.638362 160.986147 \nL 309.520089 150.768475 \nL 316.198646 139.633771 \nL 322.47837 127.785444 \nL 328.139311 115.518074 \nL 332.947682 103.212252 \nL 336.671047 91.314826 \nL 339.097231 80.303627 \nL 340.05474 70.639987 \nL 339.431855 62.716503 \nL 337.190644 56.81056 \nL 333.373352 53.053798 \nL 328.099488 51.424316 \nL 321.554277 51.762331 \nL 313.970559 53.804101 \nL 305.607486 57.22508 \nL 296.729484 61.682674 \nL 287.588171 66.851479 \nL 278.40897 72.447052 \nL 269.382799 78.238048 \nL 260.662517 84.048618 \nL 252.363078 89.754275 \nL 244.564321 95.273896 \nL 237.315299 100.56055 \nL 230.639289 105.592561 \nL 224.538865 110.365744 \nL 219.000631 114.887155 \nL 213.999405 119.17039 \nL 209.501768 123.232161 \nL 205.468956 127.090039 \nL 201.859175 130.761005 \nL 198.629377 134.260597 \nL 195.736596 137.602504 \nL 193.138908 140.798404 \nL 188.670092 146.789161 \nL 184.928092 152.289094 \nL 177.162466 164.047104 \nL 174.180162 167.945801 \nL 172.635357 169.70992 \nL 171.031944 171.342636 \nL 169.353979 172.836268 \nL 167.586313 174.181594 \nL 165.71449 175.367661 \nL 163.724688 176.38163 \nL 161.603717 177.20861 \nL 159.339047 177.831439 \nL 156.918922 178.230553 \nL 154.332522 178.383831 \nL 151.570234 178.266517 \nL 148.623995 177.851233 \nL 145.487761 177.108142 \nL 142.158091 176.005267 \nL 138.63485 174.509058 \nL 134.922059 172.585347 \nL 131.028882 170.200649 \nL 126.970691 167.323992 \nL 122.770246 163.929275 \nL 118.458875 159.99823 \nL 114.07755 155.523933 \nL 109.677777 150.514701 \nL 105.322125 144.998189 \nL 101.084146 139.02526 \nL 97.047566 132.673012 \nL 93.304499 126.046365 \nL 89.952587 119.277488 \nL 87.090991 112.522395 \nL 84.815442 105.954501 \nL 83.212563 99.755167 \nL 82.353998 94.101957 \nL 82.290945 89.155971 \nL 83.04975 85.049689 \nL 84.62919 81.877324 \nL 86.999774 79.688878 \nL 90.105302 78.488912 \nL 93.866395 78.239727 \nL 98.185631 78.868461 \nL 102.953604 80.276536 \nL 108.055253 82.349995 \nL 113.37581 84.969311 \nL 118.805917 88.017648 \nL 124.245572 91.387038 \nL 129.606858 94.982223 \nL 134.815478 98.722577 \nL 139.811197 102.542337 \nL 144.547514 106.389721 \nL 148.990698 110.225344 \nL 153.118434 114.020292 \nL 156.918279 117.75414 \nL 160.386021 121.413143 \nL 163.524119 124.988582 \nL 166.340204 128.475411 \nL 168.845768 131.871196 \nL 171.055001 135.175243 \nL 172.983804 138.387969 \nL 174.648975 141.510445 \nL 176.067544 144.544062 \nL 177.256248 147.490318 \nL 178.23113 150.350625 \nL 179.007225 153.126262 \nL 179.59835 155.818248 \nL 180.016948 158.427339 \nL 180.274 160.953971 \nL 180.378965 163.398242 \nL 180.339763 165.759854 \nL 180.162785 168.038103 \nL 179.852907 170.231824 \nL 179.413531 172.339319 \nL 178.846614 174.3583 \nL 178.152721 176.285817 \nL 177.331064 178.118133 \nL 176.379549 179.85062 \nL 175.294821 181.477622 \nL 174.072317 182.992284 \nL 172.706313 184.386374 \nL 171.189982 185.650058 \nL 169.515468 186.771668 \nL 167.673972 187.73743 \nL 165.655866 188.53117 \nL 163.45084 189.134001 \nL 161.048095 189.52399 \nL 158.436608 189.675837 \nL 155.605462 189.560564 \nL 152.544288 189.14529 \nL 149.243822 188.393089 \nL 145.696612 187.263036 \nL 141.8979 185.710518 \nL 137.846707 183.687903 \nL 133.547125 181.14574 \nL 129.009823 178.034616 \nL 124.25376 174.307818 \nL 119.308055 169.925002 \nL 114.213905 164.856865 \nL 109.026404 159.090853 \nL 103.816053 152.637688 \nL 98.669637 145.538189 \nL 93.690135 137.8697 \nL 88.99532 129.75088 \nL 84.714606 121.343669 \nL 80.984064 112.850938 \nL 77.939532 104.508832 \nL 75.708152 96.573491 \nL 74.399126 89.30278 \nL 74.094593 82.935249 \nL 74.841909 77.669086 \nL 76.648476 73.644633 \nL 79.480007 70.933492 \nL 83.262468 69.535891 \nL 87.887596 69.386525 \nL 93.221033 70.367164 \nL 99.111998 72.323309 \nL 105.403236 75.08186 \nL 111.940129 78.467219 \nL 118.578159 82.313937 \nL 125.188364 86.475279 \nL 131.6607 90.827731 \nL 137.905484 95.27216 \nL 143.853319 99.732673 \nL 149.453882 104.153827 \nL 154.673958 108.497274 \nL 159.495116 112.73824 \nL 163.911216 116.862284 \nL 167.925995 120.862431 \nL 171.550834 124.736926 \nL 174.802759 128.487411 \nL 177.702744 132.117625 \nL 180.274273 135.632413 \nL 182.54218 139.037099 \nL 184.53172 142.337053 \nL 186.267864 145.537445 \nL 187.774762 148.643103 \nL 189.075359 151.658433 \nL 190.191143 154.587442 \nL 191.141979 157.433736 \nL 192.619747 162.890837 \nL 193.633497 168.052164 \nL 194.281963 172.936335 \nL 194.640381 177.559178 \nL 194.763622 181.934491 \nL 194.689285 186.074356 \nL 194.440402 189.989374 \nL 194.027613 193.688623 \nL 193.450737 197.179468 \nL 192.699747 200.467188 \nL 191.755162 203.55433 \nL 190.587898 206.439802 \nL 189.158583 209.117398 \nL 187.416382 211.573731 \nL 186.40853 212.712021 \nL 185.297345 213.785062 \nL 184.072444 214.787516 \nL 182.722354 215.712718 \nL 181.234428 216.552399 \nL 179.59478 217.296358 \nL 177.788206 217.93208 \nL 175.798143 218.444264 \nL 173.606637 218.814278 \nL 171.194347 219.019535 \nL 168.540608 219.032766 \nL 165.623563 218.821185 \nL 162.420412 218.345594 \nL 158.907782 217.559437 \nL 155.062321 216.407831 \nL 150.861512 214.826699 \nL 146.284832 212.742136 \nL 141.315319 210.070235 \nL 135.941617 206.717619 \nL 130.160632 202.583187 \nL 123.980822 197.561502 \nL 117.426161 191.54848 \nL 110.540704 184.450001 \nL 103.39353 176.193925 \nL 96.083665 166.745701 \nL 88.744236 156.126854 \nL 81.544949 144.434866 \nL 74.69158 131.861066 \nL 68.421193 118.702088 \nL 62.991959 105.359355 \nL 58.667213 92.321621 \nL 55.694343 80.1282 \nL 54.28088 69.315209 \nL 54.571133 60.352916 \nL 56.627774 53.586796 \nL 60.422112 49.195748 \nL 65.835278 47.177559 \nL 72.670272 47.363804 \nL 80.672402 49.458727 \nL 89.554142 53.091077 \nL 99.020069 57.866291 \nL 108.788402 63.409742 \nL 118.606954 69.395721 \nL 128.262928 75.562011 \nL 137.587002 81.712256 \nL 154.774378 93.470876 \nL 162.499197 98.946846 \nL 169.604075 104.119944 \nL 176.08838 108.990799 \nL 181.968804 113.571888 \nL 187.274635 117.882129 \nL 192.043814 121.943108 \nL 196.319733 125.776613 \nL 200.148736 129.403116 \nL 203.57821 132.840951 \nL 206.655171 136.105914 \nL 211.932108 142.167597 \nL 216.317833 147.664935 \nL 225.222066 159.154347 \nL 228.547705 162.842864 \nL 230.250202 164.477669 \nL 232.003964 165.96367 \nL 233.825829 167.292131 \nL 235.731352 168.452709 \nL 237.734889 169.433366 \nL 239.849622 170.220272 \nL 242.087524 170.797704 \nL 244.459285 171.148005 \nL 246.974153 171.251564 \nL 249.639699 171.086859 \nL 252.461504 170.630642 \nL 255.44276 169.858227 \nL 258.583759 168.743953 \nL 261.881301 167.261891 \nL 265.32801 165.386858 \nL 268.911577 163.095703 \nL 272.613938 160.368984 \nL 276.410478 157.193041 \nL 280.269252 153.562379 \nL 284.150382 149.482388 \nL 288.005662 144.972118 \nL 291.778551 140.066998 \nL 295.40468 134.821087 \nL 298.812938 129.308486 \nL 301.927277 123.623482 \nL 304.669322 117.879009 \nL 306.961635 112.203134 \nL 308.731567 106.733565 \nL 309.915443 101.610377 \nL 310.46267 96.967616 \nL 310.339389 92.92458 \nL 309.531279 89.577912 \nL 308.045078 86.995513 \nL 305.908734 85.213021 \nL 303.16999 84.233356 \nL 299.893711 84.029043 \nL 296.158129 84.547103 \nL 292.050494 85.715303 \nL 287.662543 87.44924 \nL 283.086162 89.658996 \nL 278.409673 92.255018 \nL 273.714802 95.152633 \nL 269.074528 98.275223 \nL 264.551749 101.555898 \nL 260.198738 104.938195 \nL 256.057179 108.375829 \nL 252.15871 111.831846 \nL 248.525805 115.277513 \nL 245.172837 118.691003 \nL 242.107265 122.056129 \nL 239.330814 125.361168 \nL 236.840626 128.597819 \nL 234.630311 131.760321 \nL 232.690897 134.844773 \nL 231.011656 137.848532 \nL 229.580811 140.769795 \nL 228.386128 143.607256 \nL 227.415388 146.359846 \nL 226.656782 149.026563 \nL 226.0992 151.606291 \nL 225.732464 154.097705 \nL 225.547492 156.499172 \nL 225.536412 158.808653 \nL 225.692633 161.023627 \nL 226.010884 163.140996 \nL 226.487227 165.157019 \nL 227.119049 167.067185 \nL 227.905027 168.866113 \nL 228.84509 170.547431 \nL 229.940355 172.103632 \nL 231.193052 173.525911 \nL 232.606438 174.804013 \nL 234.184681 175.926053 \nL 235.932727 176.878293 \nL 237.856135 177.644984 \nL 239.960864 178.208146 \nL 242.253031 178.54741 \nL 244.738599 178.639875 \nL 247.422984 178.460021 \nL 250.310604 177.979766 \nL 253.4043 177.168592 \nL 256.704661 175.993934 \nL 260.209224 174.421784 \nL 263.911557 172.417694 \nL 267.800195 169.948144 \nL 271.857512 166.982457 \nL 276.0585 163.495247 \nL 280.369555 159.469487 \nL 284.747385 154.900073 \nL 289.138152 149.797843 \nL 293.476976 144.193636 \nL 297.688101 138.142113 \nL 301.685837 131.724616 \nL 305.376474 125.050521 \nL 308.661338 118.256241 \nL 311.440949 111.501386 \nL 313.62011 104.961786 \nL 315.113689 98.819592 \nL 315.852477 93.251282 \nL 315.788567 88.414806 \nL 314.899531 84.437725 \nL 313.190896 81.407991 \nL 310.696449 79.368644 \nL 307.476385 78.317281 \nL 303.61346 78.209983 \nL 299.207644 78.968891 \nL 294.369944 80.491895 \nL 289.216068 82.663113 \nL 283.860558 85.362502 \nL 278.411834 88.473873 \nL 272.968384 91.890693 \nL 267.616265 95.519667 \nL 262.427736 99.282305 \nL 257.460933 103.115008 \nL 252.760337 106.967983 \nL 248.357814 110.803587 \nL 244.274011 114.594376 \nL 240.519941 118.321108 \nL 237.098613 121.970963 \nL 234.006604 125.535927 \nL 231.235523 129.01149 \nL 228.773308 132.395571 \nL 226.605366 135.687731 \nL 224.715534 138.888562 \nL 223.086863 141.999238 \nL 221.70227 145.021217 \nL 220.545037 147.956026 \nL 219.599207 150.805086 \nL 218.849863 153.569667 \nL 218.283344 156.250788 \nL 217.887382 158.849185 \nL 217.651187 161.365267 \nL 217.565496 163.799102 \nL 217.622587 166.150373 \nL 217.816269 168.418339 \nL 218.141861 170.601786 \nL 218.596155 172.698988 \nL 219.177374 174.707619 \nL 219.885137 176.624653 \nL 220.720403 178.446303 \nL 221.685432 180.167858 \nL 222.783741 181.783575 \nL 224.020048 183.28649 \nL 225.400228 184.668246 \nL 226.931248 185.918865 \nL 228.621106 187.02651 \nL 230.478731 187.977209 \nL 232.513874 188.754561 \nL 234.736957 189.33941 \nL 237.158874 189.70952 \nL 239.790721 189.839249 \nL 242.643461 189.699241 \nL 245.72748 189.256199 \nL 249.051997 188.472752 \nL 252.624366 187.307523 \nL 256.449158 185.715445 \nL 260.527075 183.648486 \nL 264.853617 181.056891 \nL 269.417565 177.891079 \nL 274.199236 174.104431 \nL 279.168591 169.657015 \nL 284.283332 164.520386 \nL 289.487048 158.683402 \nL 294.707763 152.158816 \nL 299.857092 144.990195 \nL 304.83042 137.258251 \nL 309.508446 129.085553 \nL 313.760471 120.638191 \nL 317.449579 112.123014 \nL 320.439723 103.779496 \nL 322.604297 95.865885 \nL 323.835513 88.640544 \nL 324.053498 82.340551 \nL 323.213865 77.160738 \nL 321.312683 73.236524 \nL 318.387929 70.633558 \nL 314.517164 69.345926 \nL 309.811742 69.302636 \nL 304.408447 70.380805 \nL 298.459657 72.422689 \nL 292.123401 75.253415 \nL 285.554306 78.696945 \nL 278.896236 82.58842 \nL 272.277034 86.782444 \nL 265.805312 91.157217 \nL 259.56917 95.615479 \nL 253.636391 100.083128 \nL 248.055752 104.506342 \nL 242.859051 108.848148 \nL 238.063472 113.084889 \nL 233.674089 117.20297 \nL 229.686284 121.196086 \nL 226.087972 125.06296 \nL 222.86157 128.805556 \nL 219.985691 132.427833 \nL 217.436551 135.93478 \nL 215.189117 139.331805 \nL 213.218007 142.624328 \nL 211.498189 145.817547 \nL 210.005499 148.916279 \nL 208.717007 151.924941 \nL 207.611271 154.847531 \nL 206.668482 157.687634 \nL 205.201067 163.133049 \nL 204.190452 168.283549 \nL 203.538332 173.157752 \nL 203.169735 177.771542 \nL 203.029827 182.138785 \nL 203.080796 186.271733 \nL 203.29912 190.181214 \nL 203.67337 193.876633 \nL 204.202604 197.365827 \nL 204.89536 200.654754 \nL 205.769208 203.746947 \nL 206.850839 206.642707 \nL 208.176674 209.337884 \nL 209.793955 211.822029 \nL 210.729988 212.979335 \nL 211.762317 214.07569 \nL 212.900662 215.106596 \nL 214.155785 216.066391 \nL 215.539574 216.948022 \nL 217.065116 217.74274 \nL 218.746781 218.439766 \nL 220.600278 219.025864 \nL 222.642713 219.484876 \nL 224.892615 219.79712 \nL 227.369914 219.938741 \nL 230.09587 219.880933 \nL 233.09292 219.589088 \nL 236.384405 219.021848 \nL 239.994138 218.130125 \nL 243.945772 216.856111 \nL 248.261884 215.132438 \nL 252.962719 212.881586 \nL 258.064486 210.015841 \nL 263.577128 206.43808 \nL 269.501468 202.043855 \nL 275.825692 196.725388 \nL 282.521102 190.378038 \nL 289.537357 182.909917 \nL 296.797342 174.255151 \nL 304.192259 164.39069 \nL 311.577644 153.35593 \nL 318.771494 141.272926 \nL 325.555759 128.363658 \nL 331.682565 114.959148 \nL 336.886168 101.494827 \nL 340.900854 88.487324 \nL 343.483597 76.491538 \nL 344.438792 66.041746 \nL 343.641273 57.586886 \nL 341.053011 51.433569 \nL 336.730062 47.710367 \nL 330.818004 46.361817 \nL 323.536765 47.171912 \nL 315.157857 49.80941 \nL 305.978486 53.882552 \nL 296.296718 58.990744 \nL 286.391018 64.764874 \nL 276.505894 70.892263 \nL 266.843795 77.127312 \nL 257.562522 83.290836 \nL 240.562422 94.969689 \nL 225.99112 105.470621 \nL 219.643893 110.259381 \nL 213.898677 114.758184 \nL 208.722414 118.987961 \nL 204.074449 122.971319 \nL 199.909526 126.73038 \nL 196.180124 130.285528 \nL 192.838216 133.654719 \nL 187.129533 139.893736 \nL 182.42876 145.538609 \nL 171.449922 159.30294 \nL 168.066016 162.831551 \nL 166.324184 164.378909 \nL 164.524959 165.771482 \nL 162.65203 166.999751 \nL 160.690404 168.052564 \nL 158.626352 168.917062 \nL 156.447405 169.578573 \nL 154.142414 170.020576 \nL 151.70167 170.224669 \nL 149.117094 170.170639 \nL 146.382509 169.836544 \nL 143.494003 169.198996 \nL 140.450366 168.233572 \nL 137.253629 166.915415 \nL 133.909698 165.220102 \nL 130.429047 163.124808 \nL 126.827466 160.609803 \nL 123.12686 157.660285 \nL 119.355953 154.268591 \nL 115.550942 150.436651 \nL 111.75594 146.178638 \nL 108.02306 141.523571 \nL 104.412142 136.51764 \nL 100.989879 131.225787 \nL 97.828321 125.732313 \nL 95.002665 120.139973 \nL 92.588317 114.567332 \nL 90.657441 109.14419 \nL 89.275039 104.005301 \nL 88.494988 99.282724 \nL 88.35635 95.09763 \nL 88.880373 91.552392 \nL 90.068553 88.72407 \nL 91.901958 86.660035 \nL 94.34197 85.376372 \nL 97.332373 84.85898 \nL 100.802558 85.067242 \nL 104.67143 85.939438 \nL 108.851729 87.399216 \nL 113.254236 89.362115 \nL 117.791635 91.741499 \nL 122.381689 94.453461 \nL 126.949695 97.420388 \nL 131.430093 100.573256 \nL 135.767343 103.85271 \nL 139.916144 107.209194 \nL 143.841118 110.602471 \nL 147.516141 114.00067 \nL 150.923383 117.379122 \nL 154.052233 120.719179 \nL 156.898161 124.007009 \nL 159.461599 127.232556 \nL 161.746881 130.388639 \nL 163.761279 133.4702 \nL 165.51416 136.473683 \nL 167.016234 139.396558 \nL 168.278942 142.236938 \nL 169.313929 144.993305 \nL 170.132635 147.664286 \nL 170.745957 150.248469 \nL 171.164 152.74428 \nL 171.395879 155.149859 \nL 171.44959 157.462993 \nL 171.331918 159.680992 \nL 171.048381 161.800611 \nL 170.60321 163.817961 \nL 169.99935 165.728413 \nL 169.238478 167.526463 \nL 168.321049 169.205645 \nL 167.246356 170.758354 \nL 166.012593 172.17573 \nL 164.616964 173.447469 \nL 163.055782 174.561687 \nL 161.324617 175.504693 \nL 159.418463 176.260843 \nL 157.331954 176.812338 \nL 155.059614 177.139087 \nL 152.596175 177.218597 \nL 149.936961 177.025923 \nL 147.078354 176.533705 \nL 144.018362 175.712401 \nL 140.757282 174.530655 \nL 137.298493 172.955977 \nL 133.649337 170.955722 \nL 129.822149 168.498497 \nL 125.835336 165.556047 \nL 121.714514 162.105668 \nL 117.493655 158.133147 \nL 113.216063 153.636175 \nL 108.935146 148.628107 \nL 104.714741 143.141768 \nL 100.628912 137.232857 \nL 96.760889 130.982497 \nL 93.201146 124.498177 \nL 90.044394 117.912531 \nL 87.385556 111.379426 \nL 85.314893 105.067176 \nL 83.912596 99.149098 \nL 83.243268 93.792216 \nL 83.35099 89.145363 \nL 84.255472 85.328275 \nL 85.949891 82.423104 \nL 88.400672 80.469764 \nL 91.549341 79.465506 \nL 95.316171 79.368701 \nL 99.605243 80.105821 \nL 104.310221 81.580518 \nL 109.320289 83.683263 \nL 114.525696 86.300309 \nL 119.822409 89.321191 \nL 125.115699 92.64424 \nL 130.322579 96.179938 \nL 135.373082 99.852544 \nL 140.210657 103.600262 \nL 144.791754 107.3743 \nL 149.084876 111.137405 \nL 153.069286 114.862067 \nL 156.733532 118.528683 \nL 160.073898 122.123877 \nL 163.092927 125.638971 \nL 165.798015 129.068764 \nL 168.200163 132.41049 \nL 170.312888 135.663063 \nL 172.151291 138.826462 \nL 173.731287 141.901298 \nL 175.068975 144.888497 \nL 176.180138 147.789088 \nL 177.07986 150.604046 \nL 177.782235 153.334171 \nL 178.300153 155.980044 \nL 178.645165 158.541944 \nL 178.827384 161.019821 \nL 178.85543 163.413247 \nL 178.736416 165.721363 \nL 178.475954 167.942843 \nL 178.078161 170.075837 \nL 177.545706 172.117874 \nL 176.879835 174.065816 \nL 176.080424 175.915722 \nL 175.146023 177.662756 \nL 174.073906 179.301024 \nL 172.860124 180.823436 \nL 171.49957 182.221524 \nL 169.98604 183.485212 \nL 168.312323 184.602606 \nL 166.470299 185.559721 \nL 164.451069 186.340215 \nL 162.245114 186.925098 \nL 159.842519 187.292417 \nL 157.233241 187.416991 \nL 154.407472 187.270143 \nL 151.356088 186.819531 \nL 148.071229 186.029096 \nL 144.547025 184.859179 \nL 140.780466 183.266944 \nL 136.772487 181.207164 \nL 132.529233 178.633512 \nL 128.063504 175.500524 \nL 123.396408 171.766313 \nL 118.559072 167.396214 \nL 113.59441 162.36735 \nL 108.558701 156.674056 \nL 103.522847 150.333941 \nL 98.572926 143.394082 \nL 93.809832 135.936497 \nL 89.347541 128.081982 \nL 85.309853 119.991046 \nL 81.825395 111.860702 \nL 79.020913 103.916452 \nL 77.013359 96.399227 \nL 75.901331 89.548226 \nL 75.756884 83.58167 \nL 76.618783 78.67798 \nL 78.488249 74.96075 \nL 81.327789 72.489731 \nL 85.063469 71.259468 \nL 89.590252 71.205133 \nL 94.779672 72.214389 \nL 100.488769 74.142622 \nL 106.569166 76.828828 \nL 112.875364 80.110018 \nL 119.271516 83.832591 \nL 125.636373 87.859944 \nL 131.866326 92.076614 \nL 137.876729 96.389363 \nL 143.601838 100.726171 \nL 148.993712 105.033845 \nL 154.020424 109.275012 \nL 158.663914 113.424964 \nL 162.91771 117.468687 \nL 166.784677 121.3983 \nL 170.274946 125.210953 \nL 173.404047 128.907159 \nL 176.191302 132.489533 \nL 178.658471 135.9619 \nL 180.828649 139.328657 \nL 182.725377 142.594375 \nL 184.371954 145.763507 \nL 185.790924 148.840261 \nL 187.003695 151.828528 \nL 188.030278 154.731838 \nL 188.889131 157.553387 \nL 189.597055 160.296037 \nL 190.618932 165.554712 \nL 191.19707 170.525538 \nL 191.407613 175.222797 \nL 191.30412 179.657917 \nL 190.920164 183.839616 \nL 190.271675 187.773722 \nL 189.358763 191.462588 \nL 188.166921 194.904081 \nL 186.66757 198.090045 \nL 185.789796 199.582448 \nL 184.817991 201.003949 \nL 183.744498 202.350629 \nL 182.560671 203.617542 \nL 181.256834 204.798529 \nL 179.822235 205.885979 \nL 178.245014 206.870562 \nL 176.512161 207.740893 \nL 174.609497 208.483169 \nL 172.521682 209.08071 \nL 170.23224 209.51346 \nL 167.723636 209.757417 \nL 164.977422 209.783989 \nL 161.974474 209.559301 \nL 158.695323 209.043497 \nL 155.120672 208.190036 \nL 151.232107 206.945083 \nL 147.013029 205.247114 \nL 142.449954 203.026869 \nL 137.53414 200.207876 \nL 132.263686 196.707865 \nL 126.646092 192.44139 \nL 120.701299 187.324112 \nL 114.465201 181.279152 \nL 107.993415 174.24585 \nL 101.365037 166.191097 \nL 94.685955 157.122784 \nL 88.091009 147.104521 \nL 81.744179 136.269494 \nL 75.835819 124.830736 \nL 70.576186 113.083982 \nL 66.184691 101.399664 \nL 62.875126 90.201495 \nL 60.837968 79.931881 \nL 60.221879 71.007784 \nL 61.117298 63.77441 \nL 63.544923 58.465855 \nL 67.451588 55.181288 \nL 72.714303 53.881598 \nL 79.151913 54.406202 \nL 86.542072 56.504787 \nL 94.64071 59.876181 \nL 103.200894 64.205929 \nL 111.988861 69.196903 \nL 120.795792 74.589671 \nL 129.445032 80.172882 \nL 137.795132 85.785111 \nL 145.739598 91.311143 \nL 153.204319 96.674893 \nL 160.143622 101.831316 \nL 166.535714 106.758453 \nL 172.378055 111.450504 \nL 177.683016 115.912228 \nL 182.474042 120.154673 \nL 186.782364 124.192061 \nL 190.644302 128.039685 \nL 194.099111 131.712558 \nL 197.187301 135.224589 \nL 199.949377 138.58817 \nL 202.424918 141.814023 \nL 206.666493 147.887095 \nL 210.191186 153.497636 \nL 218.722935 167.79197 \nL 221.482962 171.708601 \nL 222.929563 173.495414 \nL 224.441529 175.160554 \nL 226.033779 176.696884 \nL 227.720749 178.095754 \nL 229.516481 179.346822 \nL 231.434697 180.437868 \nL 233.488823 181.354546 \nL 235.691966 182.080166 \nL 238.056834 182.595454 \nL 240.595595 182.878323 \nL 243.319646 182.903692 \nL 246.239302 182.643346 \nL 249.363354 182.065914 \nL 252.698523 181.136993 \nL 256.248751 179.819503 \nL 260.014347 178.074367 \nL 263.990969 175.861529 \nL 268.16842 173.141592 \nL 272.529348 169.877983 \nL 277.047798 166.03987 \nL 281.687773 161.60581 \nL 286.4019 156.568132 \nL 291.130349 150.937807 \nL 295.800228 144.749538 \nL 300.325733 138.066476 \nL 304.609263 130.983814 \nL 308.543801 123.630331 \nL 312.016648 116.166994 \nL 314.914572 108.781802 \nL 317.130118 101.680662 \nL 318.568631 95.074621 \nL 319.15535 89.164575 \nL 318.841699 84.125485 \nL 317.609933 80.092218 \nL 315.475474 77.149367 \nL 312.486535 75.326619 \nL 308.721024 74.60005 \nL 304.281186 74.899049 \nL 299.286668 76.117102 \nL 293.86686 78.124568 \nL 288.153434 80.78145 \nL 282.273707 83.948474 \nL 276.345354 87.495658 \nL 270.472667 91.307862 \nL 264.744317 95.287709 \nL 259.232495 99.356215 \nL 253.993139 103.451793 \nL 249.066961 107.528302 \nL 244.481013 111.552622 \nL 240.250522 115.502125 \nL 236.380833 119.36233 \nL 232.869307 123.124825 \nL 229.707094 126.785545 \nL 226.880718 130.343413 \nL 224.37345 133.799325 \nL 222.166481 137.15535 \nL 220.239879 140.414209 \nL 218.573367 143.578886 \nL 217.146921 146.652406 \nL 215.941249 149.63765 \nL 214.938117 152.537287 \nL 214.120602 155.353742 \nL 213.473246 158.089133 \nL 212.982153 160.745309 \nL 212.635034 163.323826 \nL 212.421214 165.825961 \nL 212.331618 168.252708 \nL 212.358723 170.604753 \nL 212.740452 175.086033 \nL 213.08736 177.215058 \nL 213.535429 179.268895 \nL 214.084136 181.246427 \nL 214.734208 183.146014 \nL 215.487583 184.965423 \nL 216.347377 186.701735 \nL 217.317862 188.351226 \nL 218.404449 189.909225 \nL 219.61367 191.369962 \nL 220.953168 192.726372 \nL 222.431684 193.96987 \nL 224.059036 195.090092 \nL 225.846089 196.074609 \nL 227.804704 196.908571 \nL 229.947669 197.574351 \nL 232.288577 198.051111 \nL 234.841665 198.314347 \nL 237.621564 198.335434 \nL 240.642979 198.081159 \nL 243.920221 197.51329 \nL 247.46661 196.588266 \nL 251.293668 195.257054 \nL 255.410114 193.465309 \nL 259.820554 191.153968 \nL 264.523925 188.260498 \nL 269.511574 184.720988 \nL 274.765049 180.473364 \nL 280.253637 175.461957 \nL 285.93173 169.643612 \nL 291.736244 162.99535 \nL 297.584408 155.523389 \nL 303.372295 147.272841 \nL 308.974633 138.33701 \nL 314.246507 128.864566 \nL 319.027433 119.062549 \nL 323.148143 109.193003 \nL 326.440118 99.561596 \nL 328.747293 90.497786 \nL 329.938815 82.327864 \nL 329.921339 75.344458 \nL 328.648892 69.777369 \nL 326.12874 65.771269 \nL 322.422074 63.374428 \nL 317.639327 62.540389 \nL 311.930941 63.141555 \nL 305.474965 64.991089 \nL 298.463476 67.868309 \nL 291.089539 71.543071 \nL 283.536178 75.795761 \nL 275.968084 80.430996 \nL 268.526337 85.285253 \nL 261.32597 90.229045 \nL 254.45576 95.165301 \nL 247.979734 100.025434 \nL 241.939739 104.764246 \nL 236.358579 109.354808 \nL 231.243329 113.78366 \nL 226.588533 118.046815 \nL 222.379156 122.146533 \nL 218.593151 126.088872 \nL 215.203652 129.88195 \nL 212.180774 133.534705 \nL 209.49305 137.056113 \nL 207.108555 140.454703 \nL 204.995758 143.738307 \nL 203.124132 146.913935 \nL 201.464586 149.98776 \nL 198.674054 155.850854 \nL 196.427627 161.362491 \nL 194.558664 166.548486 \nL 189.168434 182.356586 \nL 187.554549 186.231296 \nL 185.75836 189.815616 \nL 183.702928 193.09393 \nL 182.553128 194.610309 \nL 181.307938 196.038708 \nL 179.956216 197.373082 \nL 178.486197 198.605987 \nL 176.88542 199.728327 \nL 175.140661 200.729051 \nL 173.237898 201.594831 \nL 171.162299 202.309667 \nL 168.898237 202.854442 \nL 166.42938 203.206437 \nL 163.738811 203.338799 \nL 160.809272 203.219973 \nL 157.62349 202.813141 \nL 154.164664 202.075702 \nL 150.417119 200.958847 \nL 146.367201 199.407359 \nL 142.004432 197.359746 \nL 137.32298 194.74891 \nL 132.323502 191.503569 \nL 127.015361 187.55076 \nL 121.419244 182.819689 \nL 115.570069 177.247272 \nL 109.520094 170.785608 \nL 103.341951 163.411339 \nL 97.131209 155.136638 \nL 91.007963 146.020953 \nL 85.116755 136.181923 \nL 79.62413 125.803304 \nL 74.713166 115.137085 \nL 70.574698 104.497184 \nL 67.395291 94.242871 \nL 65.34289 84.751911 \nL 64.551665 76.386072 \nL 65.108254 69.454006 \nL 67.041622 64.17859 \nL 70.318451 60.674924 \nL 74.845048 58.943658 \nL 80.475454 58.880184 \nL 87.024378 60.296882 \nL 94.282777 62.952601 \nL 102.033766 66.583539 \nL 110.066836 70.93 \nL 118.188979 75.756192 \nL 126.232292 80.862 \nL 134.057984 86.087678 \nL 141.557451 91.312994 \nL 148.651034 96.45299 \nL 155.285322 101.451987 \nL 161.429601 106.277206 \nL 167.072007 110.912784 \nL 172.215749 115.354647 \nL 176.875614 119.60645 \nL 181.074894 123.676453 \nL 184.842788 127.575312 \nL 188.212264 131.314531 \nL 191.218338 134.905481 \nL 193.896755 138.358798 \nL 196.282983 141.684107 \nL 198.411487 144.889861 \nL 202.025346 150.970755 \nL 204.979196 156.647117 \nL 208.619919 164.467748 \nL 212.861646 173.674943 \nL 215.019049 177.757872 \nL 217.350327 181.476381 \nL 218.613311 183.190543 \nL 219.957941 184.8015 \nL 221.396772 186.302907 \nL 222.942483 187.687001 \nL 224.607979 188.944379 \nL 226.406448 190.063766 \nL 228.3514 191.031708 \nL 230.456671 191.832264 \nL 232.736374 192.446666 \nL 235.204801 192.852934 \nL 237.876245 193.025514 \nL 240.764751 192.934905 \nL 243.883739 192.547324 \nL 247.245498 191.824489 \nL 250.86053 190.723537 \nL 254.736688 189.197194 \nL 258.878098 187.194325 \nL 263.283845 184.660986 \nL 267.94639 181.542179 \nL 272.849748 177.784487 \nL 277.967441 173.339761 \nL 283.260343 168.170041 \nL 288.674552 162.25368 \nL 294.139491 155.592568 \nL 299.566653 148.219978 \nL 304.849256 140.208218 \nL 309.863337 131.674916 \nL 314.470706 122.786352 \nL 318.524042 113.756206 \nL 321.874199 104.838252 \nL 324.379447 96.312419 \nL 325.915909 88.464754 \nL 326.388045 81.563347 \nL 325.737771 75.833842 \nL 323.950873 71.438444 \nL 321.059518 68.462321 \nL 317.140475 66.909706 \nL 312.309215 66.71003 \nL 306.710809 67.732184 \nL 300.509024 69.803811 \nL 293.87504 72.731819 \nL 286.977123 76.320918 \nL 279.972171 80.388241 \nL 272.999656 84.772878 \nL 266.17791 89.340804 \nL 259.602654 93.985864 \nL 253.34721 98.6281 \nL 247.463992 103.210354 \nL 241.986772 107.694267 \nL 236.933368 112.056153 \nL 232.308422 116.283306 \nL 228.106092 120.370814 \nL 224.312508 124.319029 \nL 220.907934 128.131624 \nL 217.868607 131.81417 \nL 215.168264 135.373145 \nL 212.779363 138.815272 \nL 210.674053 142.147116 \nL 208.824898 145.374819 \nL 207.205422 148.504029 \nL 205.790479 151.539821 \nL 204.556509 154.486745 \nL 202.545896 160.129767 \nL 201.020172 165.460626 \nL 199.853348 170.501633 \nL 198.560074 177.559646 \nL 197.308739 186.109455 \nL 195.946599 195.551851 \nL 195.022633 200.613029 \nL 194.298207 203.751106 \nL 193.450095 206.70601 \nL 192.442897 209.479715 \nL 191.235771 212.070599 \nL 189.780411 214.47199 \nL 188.018815 216.66998 \nL 187.001799 217.685609 \nL 185.880813 218.640186 \nL 184.644731 219.528236 \nL 183.281316 220.342911 \nL 181.777117 221.075695 \nL 180.117385 221.716057 \nL 178.285984 222.251037 \nL 176.265332 222.664744 \nL 174.036346 222.937766 \nL 171.578444 223.046478 \nL 168.869592 222.962246 \nL 165.886432 222.650521 \nL 162.604528 222.069834 \nL 158.99876 221.17072 \nL 155.04393 219.89464 \nL 150.715649 218.172976 \nL 145.991569 215.926269 \nL 140.853078 213.063963 \nL 135.287541 209.484947 \nL 129.291225 205.079423 \nL 122.872903 199.732648 \nL 116.05829 193.33131 \nL 108.895113 185.773229 \nL 101.458617 176.981012 \nL 93.857034 166.919755 \nL 86.236179 155.618105 \nL 78.782013 143.190599 \nL 71.719754 129.857453 \nL 65.307986 115.956338 \nL 59.826574 101.939578 \nL 55.558028 88.35137 \nL 52.763368 75.78275 \nL 51.655223 64.808278 \nL 52.372561 55.914801 \nL 54.961858 49.437779 \nL 59.36884 45.520681 \nL 65.442877 44.10692 \nL 72.953122 44.965151 \nL 81.613066 47.738965 \nL 91.108678 52.007033 \nL 101.125256 57.340047 \nL 111.369527 63.344513 \nL 121.58497 69.689531 \nL 131.560272 76.117598 \nL 150.181666 88.544025 \nL 166.443672 99.822056 \nL 180.109433 109.765732 \nL 185.996802 114.264517 \nL 191.297683 118.478439 \nL 196.055408 122.43275 \nL 200.317765 126.151746 \nL 204.134613 129.6575 \nL 207.556098 132.969273 \nL 213.407648 139.072785 \nL 218.239554 144.55755 \nL 227.865981 155.841706 \nL 231.374561 159.388555 \nL 233.152384 160.940063 \nL 234.971892 162.334335 \nL 236.850392 163.562565 \nL 238.803563 164.614415 \nL 240.845535 165.477949 \nL 242.988918 166.139642 \nL 245.244749 166.584316 \nL 247.622408 166.79521 \nL 250.129457 166.754048 \nL 252.771406 166.441198 \nL 255.551405 165.835987 \nL 258.469856 164.917115 \nL 261.523942 163.663262 \nL 264.707107 162.053946 \nL 268.008455 160.070576 \nL 271.412141 157.697831 \nL 274.896728 154.925285 \nL 278.434626 151.749314 \nL 281.991618 148.175172 \nL 285.526611 144.219192 \nL 288.991634 139.91083 \nL 292.332228 135.294484 \nL 295.488308 130.430583 \nL 298.395569 125.395853 \nL 300.987463 120.282328 \nL 303.197718 115.194912 \nL 304.963345 110.247466 \nL 306.227879 105.557533 \nL 306.944717 101.240024 \nL 307.080134 97.400509 \nL 306.615789 94.128801 \nL 305.550324 91.493573 \nL 303.899943 89.538725 \nL 301.697836 88.281848 \nL 298.992499 87.714928 \nL 295.845181 87.80702 \nL 292.326621 88.50852 \nL 288.513495 89.756259 \nL 284.484836 91.478844 \nL 280.318736 93.60164 \nL 276.089528 96.051024 \nL 271.865555 98.757625 \nL 267.707636 101.65856 \nL 263.668122 104.698597 \nL 259.790565 107.83064 \nL 256.10981 111.015512 \nL 252.652465 114.221351 \nL 249.437633 117.422745 \nL 246.477777 120.599795 \nL 243.779674 123.737142 \nL 241.345382 126.823063 \nL 239.173159 129.848696 \nL 237.258331 132.807306 \nL 235.59407 135.69376 \nL 234.172075 138.504043 \nL 232.983158 141.234864 \nL 232.017749 143.88339 \nL 231.266289 146.446987 \nL 230.719567 148.923043 \nL 230.368974 151.308808 \nL 230.206701 153.601271 \nL 230.225876 155.797033 \nL 230.420669 157.892204 \nL 230.786343 159.882299 \nL 231.319286 161.76212 \nL 232.017006 163.525648 \nL 232.878108 165.165938 \nL 233.902236 166.674977 \nL 235.090007 168.04355 \nL 236.44291 169.261106 \nL 237.963186 170.315598 \nL 239.653669 171.193365 \nL 241.517613 171.878972 \nL 243.558461 172.355116 \nL 245.779557 172.602537 \nL 248.183839 172.59999 \nL 250.773424 172.324304 \nL 253.549147 171.750564 \nL 256.510006 170.852421 \nL 259.652522 169.602603 \nL 262.970016 167.973713 \nL 266.451779 165.939298 \nL 270.082208 163.47529 \nL 273.839887 160.561859 \nL 277.696663 157.185629 \nL 281.616823 153.342298 \nL 285.55645 149.039555 \nL 289.463018 144.300047 \nL 293.275448 139.1642 \nL 296.924733 133.692475 \nL 300.335199 127.966642 \nL 303.426593 122.089574 \nL 306.116961 116.183172 \nL 308.326261 110.384116 \nL 309.980566 104.837536 \nL 311.016444 99.688869 \nL 311.385275 95.074735 \nL 311.05689 91.113776 \nL 310.02221 87.898616 \nL 308.294456 85.490176 \nL 305.908831 83.914801 \nL 302.920596 83.164727 \nL 299.40185 83.201548 \nL 295.437319 83.961982 \nL 291.119621 85.364982 \nL 286.544527 87.319219 \nL 281.806563 89.729949 \nL 276.99528 92.504832 \nL 272.192419 95.558186 \nL 267.469949 98.813735 \nL 262.888973 102.206019 \nL 258.499412 105.6806 \nL 254.340267 109.193547 \nL 250.440358 112.710357 \nL 246.819334 116.204655 \nL 243.488871 119.656779 \nL 240.453919 123.05247 \nL 237.713941 126.381661 \nL 235.264083 129.637439 \nL 233.096233 132.815214 \nL 231.19997 135.912038 \nL 229.563361 138.926052 \nL 228.173659 141.856082 \nL 227.017856 144.701365 \nL 226.08315 147.46128 \nL 225.357291 150.1352 \nL 224.828871 152.722349 \nL 224.487514 155.221709 \nL 224.324033 157.631924 \nL 224.330526 159.95123 \nL 224.500433 162.177375 \nL 224.828565 164.307536 \nL 225.31111 166.33825 \nL 225.945611 168.2653 \nL 226.730935 170.083602 \nL 227.667238 171.787109 \nL 228.75589 173.368627 \nL 229.999418 174.819705 \nL 231.401411 176.130422 \nL 232.966422 177.289236 \nL 234.699844 178.282762 \nL 236.607746 179.095538 \nL 238.696694 179.709858 \nL 240.973512 180.105548 \nL 243.444982 180.259779 \nL 246.117493 180.146967 \nL 248.996578 179.738734 \nL 252.086382 179.003999 \nL 255.388984 177.909242 \nL 258.903613 176.419072 \nL 262.62572 174.497049 \nL 266.545908 172.107009 \nL 270.648765 169.214869 \nL 274.91155 165.79099 \nL 279.302933 161.813261 \nL 283.781704 157.270729 \nL 288.295761 152.167793 \nL 292.781377 146.528605 \nL 297.163107 140.401426 \nL 301.35445 133.862131 \nL 305.259537 127.016358 \nL 308.775986 119.999345 \nL 311.798954 112.972831 \nL 314.226377 106.11852 \nL 315.964965 99.628275 \nL 316.936544 93.691615 \nL 317.084073 88.481848 \nL 316.37654 84.142751 \nL 314.812174 80.777692 \nL 312.419356 78.442742 \nL 309.255169 77.14496 \nL 305.401726 76.845636 \nL 300.960723 77.467846 \nL 296.046895 78.906713 \nL 290.781243 81.040709 \nL 285.284572 83.742407 \nL 279.671958 86.88749 \nL 274.048511 90.361412 \nL 268.506433 94.06359 \nL 263.123439 97.909353 \nL 257.962245 101.830133 \nL 253.071003 105.772396 \nL 248.484347 109.695866 \nL 244.224871 113.571383 \nL 240.304796 117.378741 \nL 236.727718 121.1047 \nL 233.490296 124.741209 \nL 230.583818 128.284015 \nL 227.995599 131.731446 \nL 225.710198 135.08357 \nL 223.710444 138.341542 \nL 221.978284 141.507096 \nL 220.49547 144.582267 \nL 219.244096 147.569122 \nL 218.207011 150.469637 \nL 217.368125 153.285616 \nL 216.712624 156.018593 \nL 216.227122 158.669856 \nL 215.899745 161.240369 \nL 215.720177 163.730791 \nL 215.679672 166.141445 \nL 215.771043 168.472283 \nL 215.988636 170.722868 \nL 216.328287 172.89234 \nL 216.787281 174.979336 \nL 217.364308 176.981956 \nL 218.059411 178.897664 \nL 218.873951 180.723198 \nL 219.81056 182.454464 \nL 220.873103 184.086397 \nL 222.066643 185.612797 \nL 223.397401 187.026152 \nL 224.872717 188.317423 \nL 226.500994 189.475803 \nL 228.291641 190.488441 \nL 230.254983 191.340137 \nL 232.402153 192.012995 \nL 234.744927 192.486087 \nL 237.295521 192.735048 \nL 240.066297 192.731728 \nL 243.06939 192.443842 \nL 246.316214 191.834711 \nL 249.816805 190.863139 \nL 253.579018 189.483487 \nL 257.607496 187.646096 \nL 261.902426 185.298163 \nL 266.458029 182.385227 \nL 271.260817 178.853497 \nL 276.28761 174.653168 \nL 281.503438 169.742869 \nL 286.85936 164.095382 \nL 292.290519 157.704423 \nL 297.714631 150.592303 \nL 303.031304 142.817632 \nL 308.122654 134.482118 \nL 312.855569 125.734974 \nL 317.086031 116.773273 \nL 320.66567 107.836831 \nL 323.450329 99.196546 \nL 325.310103 91.136422 \nL 326.139816 83.930827 \nL 325.868674 77.819998 \nL 324.467598 72.98772 \nL 321.953093 69.545106 \nL 318.386918 67.523407 \nL 313.871551 66.876777 \nL 308.542126 67.493969 \nL 302.55611 69.216058 \nL 296.082082 71.856666 \nL 289.289088 75.221267 \nL 282.337569 79.123084 \nL 275.372497 83.39428 \nL 268.518942 87.892359 \nL 261.879852 92.502371 \nL 255.535737 97.13608 \nL 249.54576 101.729122 \nL 243.94974 106.23715 \nL 238.770714 110.631794 \nL 234.017673 114.896781 \nL 229.688283 119.02464 \nL 225.771403 123.01396 \nL 222.249342 126.867249 \nL 219.099791 130.589383 \nL 216.297452 134.186467 \nL 213.815356 137.665063 \nL 211.625901 141.031706 \nL 209.701667 144.292616 \nL 208.016013 147.453535 \nL 206.543503 150.519671 \nL 205.2602 153.495718 \nL 203.173916 159.193811 \nL 201.600239 164.57621 \nL 200.40992 169.665915 \nL 199.498914 174.482072 \nL 198.480632 181.228799 \nL 195.493303 203.287764 \nL 194.480879 207.73424 \nL 193.648347 210.48402 \nL 192.650475 213.064197 \nL 191.446777 215.472566 \nL 189.98858 217.701821 \nL 188.216823 219.737299 \nL 187.191454 220.674968 \nL 186.059555 221.553568 \nL 184.809654 222.367414 \nL 183.429107 223.109397 \nL 181.903994 223.770667 \nL 180.219033 224.340277 \nL 178.357483 224.804735 \nL 176.301077 225.147472 \nL 174.029975 225.348217 \nL 171.52275 225.382263 \nL 168.756451 225.219604 \nL 165.706731 224.823976 \nL 162.348111 224.151776 \nL 158.654403 223.150914 \nL 154.599356 221.759647 \nL 150.157608 219.905515 \nL 145.306024 217.504548 \nL 140.025509 214.461011 \nL 134.303449 210.668062 \nL 128.136848 206.009875 \nL 121.536255 200.365852 \nL 114.530535 193.617737 \nL 107.172302 185.660436 \nL 99.54385 176.417116 \nL 91.76286 165.858681 \nL 83.987129 154.026685 \nL 76.41685 141.057138 \nL 69.292978 127.200819 \nL 62.890014 112.833776 \nL 57.50193 98.450956 \nL 53.421206 84.637382 \nL 50.912317 72.01559 \nL 50.183084 61.174821 \nL 51.358837 52.594939 \nL 54.464543 46.582518 \nL 59.419068 43.234782 \nL 66.042963 42.440254 \nL 74.07829 43.913712 \nL 83.216204 47.254083 \nL 93.126904 52.009437 \nL 103.487077 57.734859 \nL 114.00135 64.034222 \nL 124.416363 70.583419 \nL 144.18039 83.524758 \nL 161.719125 95.417501 \nL 176.617591 105.907768 \nL 183.072338 110.634847 \nL 188.898829 115.045498 \nL 194.137258 119.166689 \nL 198.834398 123.025531 \nL 203.040638 126.647359 \nL 206.807736 130.054754 \nL 213.228929 136.300373 \nL 218.487745 141.878652 \nL 230.520164 155.128911 \nL 232.317128 156.837769 \nL 234.122207 158.395 \nL 235.955575 159.793908 \nL 237.83543 161.026355 \nL 239.778123 162.082726 \nL 241.798242 162.951927 \nL 243.908647 163.621385 \nL 246.120463 164.077048 \nL 248.442999 164.303463 \nL 250.883622 164.283878 \nL 253.447562 164.000428 \nL 256.137635 163.434453 \nL 258.95391 162.566912 \nL 261.8933 161.378985 \nL 264.949097 159.85288 \nL 268.110481 157.972801 \nL 271.361953 155.726233 \nL 274.682861 153.105371 \nL 278.046886 150.108843 \nL 281.421712 146.743487 \nL 284.76885 143.026266 \nL 288.043697 138.985978 \nL 291.195958 134.664729 \nL 294.170495 130.11881 \nL 296.908584 125.418775 \nL 299.34972 120.648484 \nL 301.433862 115.902927 \nL 303.104041 111.284816 \nL 304.309245 106.899987 \nL 305.007279 102.852049 \nL 305.167414 99.236573 \nL 304.772554 96.135599 \nL 303.8207 93.612954 \nL 302.325471 91.71103 \nL 300.315708 90.449193 \nL 297.834101 89.824179 \nL 294.935028 89.812159 \nL 291.681809 90.372134 \nL 288.143611 91.450188 \nL 284.392324 92.984048 \nL 280.4996 94.907473 \nL 276.534285 97.154033 \nL 272.560344 99.660117 \nL 268.635354 102.367148 \nL 264.809541 105.222847 \nL 261.125316 108.181858 \nL 257.617253 111.205773 \nL 254.312418 114.262742 \nL 251.230915 117.326828 \nL 248.386617 120.377253 \nL 245.787992 123.397544 \nL 243.438942 126.374774 \nL 241.339638 129.298832 \nL 239.487312 132.161782 \nL 237.876985 134.957327 \nL 236.502095 137.680335 \nL 235.355081 140.326495 \nL 234.427832 142.89201 \nL 233.712112 145.373341 \nL 233.199869 147.767015 \nL 232.883497 150.069455 \nL 232.756035 152.276836 \nL 232.811314 154.384971 \nL 233.044059 156.389156 \nL 233.449947 158.284106 \nL 234.025646 160.063813 \nL 234.768795 161.721426 \nL 235.677989 163.249162 \nL 236.752711 164.638149 \nL 237.993251 165.878322 \nL 239.400602 166.958294 \nL 240.976304 167.865251 \nL 242.722283 168.584828 \nL 244.640626 169.101027 \nL 246.733328 169.396173 \nL 249.001991 169.450909 \nL 251.447444 169.244288 \nL 254.069327 168.75394 \nL 256.865585 167.956399 \nL 259.831889 166.827596 \nL 262.961002 165.343579 \nL 266.242055 163.481462 \nL 269.659791 161.220718 \nL 273.193781 158.544786 \nL 276.817644 155.442963 \nL 280.49837 151.912655 \nL 284.195772 147.961788 \nL 287.862194 143.61131 \nL 291.442577 138.897529 \nL 294.875002 133.873969 \nL 298.091788 128.612424 \nL 301.021259 123.202828 \nL 303.590158 117.751612 \nL 305.726689 112.378304 \nL 307.364027 107.210415 \nL 308.444073 102.376839 \nL 308.921112 98.000339 \nL 308.765047 94.189814 \nL 307.963813 91.033398 \nL 306.52467 88.593095 \nL 304.474251 86.901799 \nL 301.857291 85.962866 \nL 298.734165 85.752162 \nL 295.177512 86.222335 \nL 291.268348 87.308344 \nL 287.091957 88.933648 \nL 282.733998 91.016131 \nL 278.277096 93.473471 \nL 273.798049 96.227157 \nL 269.365824 99.205532 \nL 265.040266 102.345436 \nL 260.871513 105.592962 \nL 256.899979 108.903362 \nL 253.156775 112.240423 \nL 249.664453 115.57552 \nL 246.437954 118.886492 \nL 243.485667 122.15653 \nL 240.810513 125.373101 \nL 238.410984 128.527009 \nL 236.282132 131.611566 \nL 234.416457 134.621945 \nL 232.804685 137.554617 \nL 231.43645 140.406931 \nL 230.300847 143.176758 \nL 229.386903 145.862277 \nL 228.683958 148.461713 \nL 228.181952 150.973235 \nL 227.87166 153.394793 \nL 227.744852 155.724 \nL 227.794411 157.958063 \nL 228.014412 160.093652 \nL 228.400162 162.126846 \nL 228.948207 164.05299 \nL 229.656324 165.866618 \nL 230.523492 167.561301 \nL 231.54983 169.12955 \nL 232.736538 170.562646 \nL 234.085798 171.850498 \nL 235.600664 172.981485 \nL 237.284926 173.942272 \nL 239.142935 174.717664 \nL 241.179401 175.290421 \nL 243.399143 175.641133 \nL 245.806771 175.748135 \nL 248.406315 175.587465 \nL 251.200781 175.132928 \nL 254.191592 174.356315 \nL 257.377965 173.227789 \nL 260.756153 171.716518 \nL 264.31859 169.791662 \nL 268.052947 167.423677 \nL 271.941108 164.586121 \nL 275.958084 161.257893 \nL 280.070985 157.426009 \nL 284.238079 153.088782 \nL 288.408119 148.259309 \nL 292.520001 142.968963 \nL 296.503011 137.270595 \nL 300.277794 131.24084 \nL 303.758158 124.981056 \nL 306.853848 118.616225 \nL 309.474278 112.291449 \nL 311.533039 106.165768 \nL 312.952959 100.403571 \nL 313.671244 95.164214 \nL 313.644148 90.591023 \nL 312.850658 86.801026 \nL 311.294689 83.876834 \nL 309.005476 81.861851 \nL 306.036077 80.759395 \nL 302.460127 80.53568 \nL 298.367315 81.125876 \nL 293.858017 82.442278 \nL 289.037712 84.38316 \nL 284.011769 86.84132 \nL 278.880871 89.711252 \nL 273.737489 92.894646 \nL 268.663381 96.303891 \nL 263.728169 99.863991 \nL 258.98881 103.512949 \nL 254.489831 107.201152 \nL 250.26411 110.890128 \nL 246.334022 114.550953 \nL 242.712804 118.162574 \nL 239.405982 121.710197 \nL 236.412796 125.183842 \nL 233.727549 128.577119 \nL 231.340816 131.88624 \nL 229.240519 135.109212 \nL 227.412848 138.245233 \nL 225.843042 141.294237 \nL 224.516014 144.256557 \nL 223.416866 147.1327 \nL 222.531287 149.923141 \nL 221.845855 152.628235 \nL 221.348261 155.248114 \nL 221.027467 157.782626 \nL 220.873812 160.231265 \nL 220.879076 162.593135 \nL 221.036502 164.866882 \nL 221.340811 167.050615 \nL 221.788181 169.141894 \nL 222.376221 171.137579 \nL 223.103936 173.033779 \nL 223.971683 174.825725 \nL 224.981115 176.507634 \nL 226.135128 178.072583 \nL 227.437796 179.512319 \nL 228.894297 180.817055 \nL 230.510822 181.975291 \nL 232.294465 182.973539 \nL 234.253097 183.796097 \nL 236.395194 184.424774 \nL 238.729616 184.838627 \nL 241.265339 185.013697 \nL 244.01111 184.922811 \nL 246.975003 184.535435 \nL 250.163876 183.817642 \nL 253.582676 182.732271 \nL 257.233615 181.23934 \nL 261.115182 179.296788 \nL 265.220947 176.861733 \nL 269.538241 173.892239 \nL 274.04665 170.349853 \nL 278.716448 166.202916 \nL 283.506978 161.430697 \nL 288.365261 156.028294 \nL 293.224847 150.012086 \nL 298.005305 143.425247 \nL 302.612576 136.342756 \nL 306.940453 128.874868 \nL 310.873526 121.168089 \nL 314.291606 113.402642 \nL 317.075707 105.785608 \nL 319.115155 98.539652 \nL 320.315334 91.887984 \nL 320.605207 86.037196 \nL 319.943663 81.160217 \nL 318.323792 77.382049 \nL 315.774432 74.770651 \nL 312.35865 73.334244 \nL 308.169403 73.025381 \nL 303.322932 73.750386 \nL 297.950829 75.38252 \nL 292.191705 77.776213 \nL 286.183406 80.780496 \nL 280.056421 84.25003 \nL 273.928903 88.052943 \nL 267.903362 92.075526 \nL 262.065013 96.224048 \nL 256.481445 100.424443 \nL 251.203349 104.620565 \nL 246.265953 108.7717 \nL 241.690888 112.849755 \nL 237.488262 116.836537 \nL 233.658732 120.721326 \nL 230.195497 124.498797 \nL 227.086075 128.167387 \nL 224.313897 131.727993 \nL 221.859646 135.183027 \nL 219.702378 138.535761 \nL 217.82043 141.789841 \nL 216.192133 144.948966 \nL 214.796367 148.016715 \nL 213.61297 150.996445 \nL 212.623033 153.891236 \nL 211.809093 156.703847 \nL 211.155257 159.436757 \nL 210.647264 162.092151 \nL 210.019971 167.177793 \nL 209.845574 171.973077 \nL 210.066886 176.486409 \nL 210.649148 180.722196 \nL 211.57799 184.680189 \nL 212.857763 188.354278 \nL 213.63543 190.080894 \nL 214.510384 191.730575 \nL 215.488012 193.299912 \nL 216.574758 194.784578 \nL 217.778125 196.179188 \nL 219.106686 197.477084 \nL 220.570096 198.670129 \nL 222.179096 199.748426 \nL 223.945511 200.700013 \nL 225.882229 201.510518 \nL 228.00316 202.162734 \nL 230.323159 202.636178 \nL 232.857897 202.906574 \nL 235.623655 202.945323 \nL 238.63704 202.718936 \nL 241.914577 202.188495 \nL 245.472143 201.309158 \nL 249.324215 200.02985 \nL 253.482854 198.293165 \nL 257.956452 196.035707 \nL 262.748095 193.189041 \nL 267.853595 189.681513 \nL 273.259115 185.441238 \nL 278.938454 180.400588 \nL 284.850067 174.50241 \nL 290.933991 167.708196 \nL 297.108963 160.008065 \nL 303.270244 151.432018 \nL 309.288625 142.061434 \nL 315.011412 132.038878 \nL 320.265971 121.573938 \nL 324.866447 110.942212 \nL 328.623778 100.475154 \nL 331.358662 90.539491 \nL 332.916248 81.507295 \nL 333.180821 73.720223 \nL 332.088226 67.453827 \nL 329.63391 62.888802 \nL 325.874961 60.094955 \nL 320.92576 59.030809 \nL 314.947882 59.55816 \nL 308.136044 61.467506 \nL 300.702299 64.508306 \nL 292.860806 68.418364 \nL 284.814823 72.947788 \nL 276.746986 77.875574 \nL 268.813216 83.018375 \nL 261.139904 88.232892 \nL 253.8238 93.413564 \nL 246.933865 98.487567 \nL 240.514298 103.408694 \nL 234.588222 108.151093 \nL 229.161495 112.703661 \nL 224.226354 117.065394 \nL 219.764731 121.241722 \nL 215.751123 125.241755 \nL 212.154998 129.076367 \nL 208.942753 132.75689 \nL 206.079273 136.294306 \nL 203.529114 139.698763 \nL 201.257396 142.979333 \nL 199.230438 146.143953 \nL 195.78447 152.151576 \nL 192.958132 157.764158 \nL 189.449534 165.502284 \nL 186.33558 172.466106 \nL 184.258379 176.682957 \nL 182.048847 180.548438 \nL 180.862214 182.343002 \nL 179.604388 184.040298 \nL 178.263014 185.635153 \nL 176.825671 187.121173 \nL 175.279761 188.490528 \nL 173.612428 189.73375 \nL 171.810487 190.839458 \nL 169.860387 191.794083 \nL 167.748222 192.581527 \nL 165.459771 193.182831 \nL 162.980601 193.575769 \nL 160.29624 193.734483 \nL 157.392446 193.629084 \nL 154.255577 193.225324 \nL 150.873102 192.484346 \nL 147.234274 191.362602 \nL 143.331008 189.812005 \nL 139.15897 187.78049 \nL 134.718921 185.213063 \nL 130.018337 182.053575 \nL 125.073271 178.247419 \nL 119.910446 173.745305 \nL 114.569468 168.508266 \nL 109.105023 162.513978 \nL 103.588796 155.76417 \nL 98.110815 148.292696 \nL 92.779788 140.173409 \nL 87.721967 131.526628 \nL 83.078125 122.522543 \nL 78.998307 113.379862 \nL 75.634291 104.358178 \nL 73.130094 95.743496 \nL 71.61123 87.827434 \nL 71.174006 80.882471 \nL 71.876159 75.136673 \nL 73.730471 70.75236 \nL 76.702305 67.812447 \nL 80.711643 66.316954 \nL 85.639298 66.189757 \nL 91.336389 67.29372 \nL 97.635572 69.450648 \nL 104.362617 72.462468 \nL 111.346872 76.130132 \nL 118.429788 80.268218 \nL 125.470971 84.71446 \nL 132.351788 89.334451 \nL 138.976734 94.022361 \nL 145.273085 98.698977 \nL 151.18929 103.308189 \nL 156.692579 107.812716 \nL 161.766218 112.18996 \nL 166.406642 116.428199 \nL 170.620728 120.523357 \nL 174.423312 124.476513 \nL 177.835006 128.291923 \nL 180.880356 131.975623 \nL 183.586322 135.534464 \nL 185.981047 138.975456 \nL 188.092913 142.305363 \nL 189.949815 145.53051 \nL 191.578633 148.656639 \nL 193.004865 151.68893 \nL 195.343354 157.489913 \nL 197.135106 162.964509 \nL 198.521688 168.137483 \nL 199.618535 173.029019 \nL 200.918762 179.874945 \nL 203.455227 193.781708 \nL 204.708385 198.934172 \nL 205.699043 202.114775 \nL 206.862468 205.09304 \nL 208.245742 207.865019 \nL 209.903383 210.420412 \nL 210.854771 211.611297 \nL 211.899832 212.73988 \nL 213.048607 213.801674 \nL 214.312094 214.791046 \nL 215.702339 215.700956 \nL 217.232519 216.522689 \nL 218.917027 217.245509 \nL 220.771542 217.856257 \nL 222.813075 218.338864 \nL 225.060003 218.673793 \nL 227.532055 218.837378 \nL 230.25023 218.801081 \nL 233.236646 218.530651 \nL 236.514264 217.985209 \nL 240.106476 217.116295 \nL 244.03645 215.86692 \nL 248.326251 214.170763 \nL 252.995584 211.95162 \nL 258.060125 209.123389 \nL 263.529335 205.590877 \nL 269.403665 201.251899 \nL 275.671099 196.00118 \nL 282.303045 189.736702 \nL 289.249693 182.369096 \nL 296.435032 173.834516 \nL 303.752082 164.11096 \nL 311.059083 153.237251 \nL 318.177655 141.332585 \nL 324.894287 128.613215 \nL 330.966343 115.401371 \nL 336.133617 102.120891 \nL 340.135633 89.275135 \nL 342.733571 77.405783 \nL 343.734302 67.036312 \nL 343.012772 58.609287 \nL 340.528495 52.430844 \nL 336.332718 48.63522 \nL 330.564419 47.177464 \nL 323.436033 47.854925 \nL 315.211613 50.350154 \nL 306.181745 54.283469 \nL 296.639262 59.26353 \nL 286.859052 64.927023 \nL 277.083624 70.964037 \nL 267.51483 77.129258 \nL 258.31095 83.242147 \nL 241.423322 94.86779 \nL 233.861615 100.266263 \nL 226.92024 105.362264 \nL 220.595294 110.159657 \nL 214.866788 114.672684 \nL 209.70318 118.920995 \nL 205.065121 122.926246 \nL 200.908463 126.70988 \nL 197.186613 130.291796 \nL 193.852304 133.689642 \nL 188.161312 139.991008 \nL 183.484382 145.704907 \nL 172.631545 159.728326 \nL 169.309637 163.367993 \nL 167.602355 164.977184 \nL 165.839838 166.436399 \nL 164.005543 167.736595 \nL 162.084174 168.867105 \nL 160.0616 169.815539 \nL 157.924855 170.567683 \nL 155.662168 171.107406 \nL 153.263059 171.416632 \nL 150.718517 171.475289 \nL 148.021231 171.261418 \nL 145.165942 170.751324 \nL 142.14985 169.919908 \nL 138.973154 168.741186 \nL 135.639649 167.18903 \nL 132.157449 165.238198 \nL 128.539758 162.86573 \nL 124.805697 160.052709 \nL 120.981114 156.786362 \nL 117.09937 153.062578 \nL 113.201904 148.888653 \nL 109.338591 144.286129 \nL 105.567675 139.293486 \nL 101.955187 133.968323 \nL 98.573735 128.388632 \nL 95.500538 122.652678 \nL 92.814709 116.877146 \nL 90.593806 111.193258 \nL 88.909881 105.740897 \nL 87.825239 100.660979 \nL 87.388315 96.086834 \nL 87.630095 92.135433 \nL 88.561478 88.899631 \nL 90.171971 86.442387 \nL 92.429808 84.79375 \nL 95.283597 83.95084 \nL 98.665284 83.880822 \nL 102.494057 84.526097 \nL 106.680837 85.810925 \nL 111.132828 87.648534 \nL 115.757818 89.947789 \nL 120.467852 92.618922 \nL 125.182077 95.577837 \nL 129.828808 98.748982 \nL 134.346691 102.066937 \nL 138.685143 105.476821 \nL 142.804189 108.933925 \nL 146.673846 112.402791 \nL 150.27319 115.856003 \nL 153.58924 119.27288 \nL 156.615756 122.638198 \nL 159.352053 125.940994 \nL 161.801846 129.173591 \nL 163.972213 132.330723 \nL 165.872665 135.408831 \nL 167.514326 138.40556 \nL 168.909251 141.319306 \nL 170.069856 144.148916 \nL 171.008448 146.893435 \nL 171.736861 149.551929 \nL 172.266172 152.12333 \nL 172.606481 154.606349 \nL 172.766758 156.999365 \nL 172.754739 159.300345 \nL 172.57686 161.506763 \nL 172.238222 163.615518 \nL 171.742582 165.622832 \nL 171.092373 167.524155 \nL 170.288733 169.314068 \nL 169.331543 170.986133 \nL 168.219502 172.532766 \nL 166.950195 173.945086 \nL 165.520181 175.212714 \nL 163.925116 176.323631 \nL 162.159877 177.263938 \nL 160.218741 178.017694 \nL 158.095585 178.566708 \nL 155.784146 178.890348 \nL 153.278331 178.965412 \nL 150.572606 178.76606 \nL 147.662473 178.263826 \nL 144.545038 177.427813 \nL 141.219717 176.225014 \nL 137.689032 174.621021 \nL 133.959558 172.580959 \nL 130.04299 170.070963 \nL 125.957298 167.060106 \nL 121.727977 163.522911 \nL 117.389258 159.442481 \nL 112.985214 154.814153 \nL 108.570651 149.649574 \nL 104.211536 143.980834 \nL 99.984836 137.864339 \nL 95.977537 131.383643 \nL 92.284609 124.650748 \nL 89.005887 117.804946 \nL 86.241786 111.008749 \nL 84.088079 104.440664 \nL 82.630035 98.284934 \nL 81.936451 92.719276 \nL 82.054287 87.901802 \nL 83.004473 83.959139 \nL 84.779567 80.977177 \nL 87.34354 78.996077 \nL 90.633864 78.01004 \nL 94.565506 77.971634 \nL 99.036445 78.799645 \nL 103.933986 80.389176 \nL 109.141149 82.62217 \nL 114.542598 85.377135 \nL 120.029552 88.537119 \nL 125.503537 91.995415 \nL 130.878844 95.658978 \nL 136.083798 99.449872 \nL 141.061002 103.305231 \nL 145.766792 107.176054 \nL 150.170165 111.02549 \nL 154.25131 114.826829 \nL 158.000008 118.561507 \nL 161.413981 122.217257 \nL 164.4973 125.786544 \nL 167.258925 129.265226 \nL 169.711401 132.651558 \nL 171.869726 135.94534 \nL 173.750402 139.147373 \nL 175.370648 142.258993 \nL 176.747763 145.281792 \nL 177.898635 148.217393 \nL 178.839355 151.067331 \nL 179.584937 153.832951 \nL 180.149119 156.515341 \nL 180.544224 159.115322 \nL 180.781083 161.633388 \nL 180.868988 164.069683 \nL 180.81569 166.423979 \nL 180.627396 168.695646 \nL 180.308811 170.883567 \nL 179.863163 172.98614 \nL 179.292243 175.001162 \nL 178.59646 176.92577 \nL 177.774876 178.756349 \nL 176.825254 180.488388 \nL 175.744102 182.116353 \nL 174.526722 183.633543 \nL 173.167249 185.031874 \nL 171.658718 186.301691 \nL 169.99312 187.431505 \nL 168.161491 188.407741 \nL 166.154012 189.214417 \nL 163.960158 189.832849 \nL 161.568869 190.241287 \nL 158.968823 190.414597 \nL 156.148734 190.323931 \nL 153.097795 189.936469 \nL 149.80622 189.215251 \nL 146.265935 188.119187 \nL 142.471451 186.603304 \nL 138.420934 184.619371 \nL 134.117492 182.117016 \nL 129.5707 179.045523 \nL 124.798302 175.356414 \nL 119.828145 171.007062 \nL 114.700128 165.96533 \nL 109.468102 160.215325 \nL 104.201503 153.764001 \nL 98.986379 146.648228 \nL 93.925451 138.941515 \nL 89.136887 130.759307 \nL 84.751346 122.261443 \nL 80.907079 113.650416 \nL 77.743069 105.164162 \nL 75.390528 97.063028 \nL 73.963391 89.611452 \nL 73.548878 83.056398 \nL 74.199346 77.605402 \nL 75.926623 73.408078 \nL 78.699842 70.54406 \nL 82.447108 69.01951 \nL 87.060836 68.772424 \nL 92.40594 69.685143 \nL 98.329706 71.601395 \nL 104.672045 74.344626 \nL 111.274936 77.734736 \nL 117.99025 81.601447 \nL 124.68549 85.793429 \nL 131.247372 90.183085 \nL 137.583401 94.668018 \nL 143.621883 99.169798 \nL 149.310701 103.631217 \nL 154.615351 108.012783 \nL 159.516537 112.289074 \nL 164.007623 116.44535 \nL 168.09217 120.474621 \nL 171.781608 124.375273 \nL 175.09321 128.149196 \nL 178.048318 131.800405 \nL 180.670887 135.334053 \nL 182.986277 138.755756 \nL 185.020309 142.071164 \nL 186.798534 145.285694 \nL 188.345685 148.404372 \nL 189.685287 151.431818 \nL 190.839393 154.372179 \nL 191.828423 157.229214 \nL 193.384336 162.706424 \nL 194.482028 167.886714 \nL 195.224302 172.789421 \nL 195.690499 177.431075 \nL 195.939828 181.826206 \nL 195.995985 187.984803 \nL 195.743108 193.656562 \nL 195.214389 198.874647 \nL 194.705541 202.114932 \nL 194.058473 205.171797 \nL 193.253724 208.049299 \nL 192.264141 210.748778 \nL 191.054051 213.267837 \nL 189.577999 215.598761 \nL 187.779045 217.726203 \nL 186.737031 218.705917 \nL 185.586638 219.623729 \nL 184.316507 220.473756 \nL 182.914094 221.248654 \nL 181.365585 221.939305 \nL 179.655805 222.534454 \nL 177.768145 223.020252 \nL 175.684494 223.37973 \nL 173.385211 223.592178 \nL 170.849134 223.632402 \nL 168.053647 223.469896 \nL 164.974845 223.067874 \nL 161.587814 222.382243 \nL 157.86709 221.360488 \nL 153.787349 219.940582 \nL 149.324391 218.050019 \nL 144.456516 215.605162 \nL 139.166401 212.511152 \nL 133.443561 208.662813 \nL 127.287506 203.947024 \nL 120.711663 198.247243 \nL 113.74808 191.450912 \nL 106.452738 183.460486 \nL 98.911214 174.20858 \nL 91.244055 163.677142 \nL 83.610975 151.919609 \nL 76.212523 139.083316 \nL 69.287784 125.427781 \nL 63.106542 111.332703 \nL 57.954875 97.289261 \nL 54.114224 83.869603 \nL 51.835666 71.674351 \nL 51.312525 61.263994 \nL 52.656325 53.08709 \nL 55.880822 47.421651 \nL 60.897728 44.344067 \nL 67.525393 43.732732 \nL 75.508566 45.303547 \nL 84.545109 48.665783 \nL 94.314639 53.383743 \nL 104.504475 59.030828 \nL 114.829793 65.22835 \nL 125.046749 71.666834 \nL 134.958747 78.112053 \nL 153.318393 90.427977 \nL 169.224218 101.506637 \nL 176.191893 106.534661 \nL 182.515544 111.236127 \nL 188.224363 115.633128 \nL 193.3576 119.751009 \nL 197.96091 123.615373 \nL 202.083487 127.250252 \nL 205.775884 130.677097 \nL 212.069961 136.977424 \nL 217.224501 142.627638 \nL 229.020464 156.180293 \nL 232.557242 159.577252 \nL 234.359808 161.048 \nL 236.210245 162.356819 \nL 238.125165 163.494264 \nL 240.119563 164.449347 \nL 242.20684 165.209514 \nL 244.398813 165.760627 \nL 246.705649 166.086975 \nL 249.135741 166.171331 \nL 251.695531 165.995093 \nL 254.389229 165.538524 \nL 257.218481 164.781095 \nL 260.181958 163.70203 \nL 263.274864 162.28101 \nL 266.488398 160.499129 \nL 269.809157 158.340064 \nL 273.218539 155.791596 \nL 276.692154 152.847305 \nL 280.199355 149.508535 \nL 283.702867 145.786449 \nL 287.15869 141.704111 \nL 290.516315 137.298354 \nL 293.719339 132.621156 \nL 296.706594 127.740294 \nL 299.413832 122.738942 \nL 301.775905 117.71397 \nL 303.7295 112.772839 \nL 305.21617 108.029076 \nL 306.185572 103.596628 \nL 306.598548 99.583479 \nL 306.429804 96.08527 \nL 305.669939 93.179546 \nL 304.326446 90.921406 \nL 302.423751 89.340937 \nL 300.002065 88.44289 \nL 297.115338 88.208281 \nL 293.828388 88.597789 \nL 290.213602 89.556354 \nL 286.347433 91.018192 \nL 282.307042 92.911912 \nL 278.167311 95.164977 \nL 273.998388 97.707311 \nL 269.863827 100.474028 \nL 265.819378 103.407111 \nL 261.912358 106.456172 \nL 258.181512 109.578648 \nL 254.657308 112.739395 \nL 251.362489 115.909977 \nL 248.312857 119.067814 \nL 245.51816 122.19526 \nL 242.983028 125.278672 \nL 240.707884 128.307605 \nL 238.689833 131.274085 \nL 236.923453 134.171986 \nL 235.401519 136.996521 \nL 234.115629 139.743826 \nL 233.056733 142.410639 \nL 232.215579 144.994011 \nL 231.583076 147.491119 \nL 231.150581 149.899074 \nL 230.910127 152.214793 \nL 230.854592 154.434871 \nL 230.977808 156.555445 \nL 231.274651 158.572116 \nL 231.741075 160.479811 \nL 232.374124 162.272701 \nL 233.171919 163.94406 \nL 234.133611 165.486153 \nL 235.259326 166.890107 \nL 236.550062 168.145782 \nL 238.007588 169.241608 \nL 239.634295 170.164476 \nL 241.433015 170.899583 \nL 243.406813 171.430349 \nL 245.558728 171.738316 \nL 247.891455 171.803116 \nL 250.406967 171.602524 \nL 253.106085 171.112615 \nL 255.987941 170.308043 \nL 259.049378 169.162489 \nL 262.284264 167.649415 \nL 265.682711 165.743017 \nL 269.230245 163.419552 \nL 272.906926 160.659045 \nL 276.686466 157.447358 \nL 280.535411 153.778654 \nL 284.412479 149.658092 \nL 288.268138 145.104695 \nL 292.044564 140.154092 \nL 295.676098 134.860828 \nL 299.090358 129.299796 \nL 302.21007 123.566351 \nL 304.955667 117.774764 \nL 307.248602 112.054646 \nL 309.01529 106.545307 \nL 310.191294 101.388388 \nL 310.725503 96.719251 \nL 310.583864 92.658167 \nL 309.752144 89.302284 \nL 308.237504 86.719465 \nL 306.068553 84.944795 \nL 303.293943 83.980183 \nL 299.979564 83.796838 \nL 296.204749 84.340253 \nL 292.057801 85.536689 \nL 287.631433 87.300293 \nL 283.018377 89.539908 \nL 278.307615 92.164986 \nL 273.581351 95.090132 \nL 268.912847 98.238249 \nL 264.365149 101.5422 \nL 259.990511 104.945445 \nL 255.830496 108.401748 \nL 251.916534 111.874305 \nL 248.270829 115.334586 \nL 244.907447 118.760993 \nL 241.833522 122.137576 \nL 239.050452 125.45285 \nL 236.555062 128.698716 \nL 234.340661 131.869622 \nL 232.397999 134.961839 \nL 230.716094 137.972877 \nL 229.282941 140.901075 \nL 228.086104 143.745242 \nL 227.113185 146.504442 \nL 226.352225 149.177761 \nL 225.791981 151.764185 \nL 225.422162 154.262496 \nL 225.233594 156.671137 \nL 225.218322 158.988172 \nL 225.369691 161.211179 \nL 225.682379 163.337171 \nL 226.152412 165.362505 \nL 226.777142 167.282782 \nL 227.555232 169.092757 \nL 228.486601 170.78619 \nL 229.572375 172.355708 \nL 230.814807 173.792677 \nL 232.217189 175.087006 \nL 233.783749 176.226969 \nL 235.519513 177.199032 \nL 237.430145 177.987616 \nL 239.521751 178.574922 \nL 241.800633 178.940744 \nL 244.272984 179.062322 \nL 246.944512 178.914253 \nL 249.819992 178.468482 \nL 252.902696 177.694455 \nL 256.193733 176.559442 \nL 259.691253 175.029112 \nL 263.389529 173.068483 \nL 267.277912 170.643244 \nL 271.339679 167.721627 \nL 275.550804 164.27681 \nL 279.878705 160.289951 \nL 284.281139 155.753744 \nL 288.705217 150.676478 \nL 293.086898 145.086208 \nL 297.35101 139.034704 \nL 301.412065 132.60057 \nL 305.17612 125.890894 \nL 308.543664 119.040561 \nL 311.413739 112.208781 \nL 313.68902 105.572357 \nL 315.281624 99.315959 \nL 316.119104 93.619994 \nL 316.150044 88.647603 \nL 315.348503 84.53224 \nL 313.716731 81.367907 \nL 311.285781 79.203233 \nL 308.113843 78.040394 \nL 304.282537 77.838676 \nL 299.891567 78.521899 \nL 295.052532 79.988182 \nL 289.88241 82.120633 \nL 284.497538 84.797318 \nL 279.008448 87.899628 \nL 273.515903 91.318412 \nL 268.108192 94.957784 \nL 262.859664 98.736944 \nL 257.830331 102.590281 \nL 253.066274 106.466408 \nL 248.60067 110.326442 \nL 244.455183 114.142032 \nL 240.641579 117.893337 \nL 237.163376 121.567136 \nL 234.017458 125.155195 \nL 231.195564 128.652918 \nL 228.685629 132.058233 \nL 226.472943 135.370769 \nL 224.541138 138.591223 \nL 222.873008 141.720891 \nL 221.451161 144.761376 \nL 220.258546 147.714329 \nL 219.27885 150.581352 \nL 218.4968 153.363838 \nL 217.898371 156.062969 \nL 217.470934 158.679643 \nL 217.203345 161.214432 \nL 217.085999 163.667583 \nL 217.110832 166.038964 \nL 217.271323 168.328049 \nL 217.562468 170.533857 \nL 217.980745 172.654917 \nL 218.524073 174.689189 \nL 219.191766 176.634001 \nL 219.984494 178.48593 \nL 220.90423 180.2407 \nL 221.954214 181.893067 \nL 223.138903 183.436638 \nL 224.463927 184.863696 \nL 225.936037 186.165003 \nL 227.563039 187.329549 \nL 229.353724 188.344305 \nL 231.317765 189.193912 \nL 233.465586 189.860374 \nL 235.808192 190.322715 \nL 238.356937 190.556647 \nL 241.123222 190.534225 \nL 244.1181 190.223578 \nL 247.351752 189.588705 \nL 250.832843 188.589422 \nL 254.567689 187.181538 \nL 258.559248 185.31738 \nL 262.805868 182.946762 \nL 267.299838 180.018588 \nL 272.025698 176.483242 \nL 276.958361 172.295915 \nL 282.061151 167.421025 \nL 287.28384 161.8377 \nL 292.560925 155.546255 \nL 297.810395 148.575231 \nL 302.93338 140.98836 \nL 307.815014 132.890374 \nL 312.326926 124.4304 \nL 316.331668 115.801372 \nL 319.689091 107.234301 \nL 322.264552 98.986625 \nL 323.938308 91.324956 \nL 324.615135 84.503966 \nL 324.232986 78.74405 \nL 322.769416 74.211496 \nL 320.244701 71.004464 \nL 316.721148 69.147184 \nL 312.298567 68.593276 \nL 307.106656 69.236701 \nL 301.295362 70.928169 \nL 295.024538 73.493493 \nL 288.454156 76.751121 \nL 281.735986 80.526522 \nL 275.007274 84.662414 \nL 268.386648 89.024615 \nL 261.972044 93.504206 \nL 255.840379 98.016899 \nL 250.04852 102.500478 \nL 244.635108 106.911444 \nL 239.622907 111.221294 \nL 235.021356 115.413047 \nL 230.829069 119.478156 \nL 227.036225 123.41398 \nL 223.626683 127.221796 \nL 220.579812 130.905296 \nL 217.872046 134.469507 \nL 215.478141 137.920058 \nL 213.372187 141.262671 \nL 211.528392 144.502881 \nL 209.92167 147.645875 \nL 208.528064 150.696396 \nL 207.325042 153.658745 \nL 206.29168 156.536786 \nL 204.658802 162.053536 \nL 203.496398 167.2706 \nL 202.697907 172.207849 \nL 202.180575 176.882223 \nL 201.882129 181.308581 \nL 201.750028 187.511888 \nL 201.916462 193.226812 \nL 202.339398 198.48802 \nL 203.018452 203.324709 \nL 203.629396 206.324753 \nL 204.387964 209.150762 \nL 205.320217 211.804749 \nL 206.460237 214.285368 \nL 207.851373 216.586502 \nL 209.547905 218.695185 \nL 210.531156 219.670701 \nL 211.617149 220.5885 \nL 212.816747 221.443401 \nL 214.141959 222.228904 \nL 215.606036 222.936907 \nL 217.223562 223.557369 \nL 219.010542 224.077899 \nL 220.98448 224.483268 \nL 223.16443 224.754828 \nL 225.571022 224.869822 \nL 228.22643 224.800586 \nL 231.154272 224.513642 \nL 234.3794 223.968665 \nL 237.927553 223.117379 \nL 241.824804 221.902405 \nL 246.096736 220.256156 \nL 250.767291 218.099933 \nL 255.857164 215.343437 \nL 261.381639 211.885012 \nL 267.347777 207.613119 \nL 273.750847 202.409606 \nL 280.569943 196.155502 \nL 287.76283 188.740166 \nL 295.260274 180.074459 \nL 302.960209 170.108261 \nL 310.722574 158.851904 \nL 318.365922 146.399672 \nL 325.667251 132.951873 \nL 332.36678 118.829876 \nL 338.178963 104.477438 \nL 342.810467 90.441809 \nL 345.984428 77.331339 \nL 347.468331 65.751923 \nL 347.101295 56.232441 \nL 344.815569 49.154538 \nL 340.647593 44.704118 \nL 334.735867 42.856339 \nL 327.30603 43.396587 \nL 318.646296 45.969695 \nL 309.078229 50.142885 \nL 298.928063 55.467142 \nL 288.50271 61.525886 \nL 278.072647 67.965782 \nL 267.862147 74.509999 \nL 248.751104 87.176893 \nL 232.023075 98.654238 \nL 217.947376 108.734421 \nL 211.879949 113.27845 \nL 206.415798 117.524053 \nL 201.511004 121.498091 \nL 197.116828 125.226454 \nL 193.182245 128.732685 \nL 186.487147 135.157604 \nL 181.03133 140.898748 \nL 174.405874 148.38992 \nL 170.596654 152.683172 \nL 166.990485 156.413519 \nL 165.200846 158.059055 \nL 163.391303 159.550666 \nL 161.54276 160.88091 \nL 159.637977 162.040877 \nL 157.661476 163.020171 \nL 155.599479 163.806886 \nL 153.43989 164.387609 \nL 151.172335 164.747421 \nL 148.788268 164.87001 \nL 146.281138 164.737777 \nL 143.646621 164.332071 \nL 140.882933 163.633557 \nL 137.991199 162.622688 \nL 134.975908 161.280406 \nL 131.845403 159.589014 \nL 128.612431 157.533317 \nL 125.294694 155.101972 \nL 121.915362 152.289113 \nL 118.503553 149.096123 \nL 115.094616 145.533572 \nL 111.730243 141.623123 \nL 108.458277 137.399241 \nL 105.332125 132.910521 \nL 102.409734 128.220292 \nL 99.752053 123.406329 \nL 97.421017 118.55937 \nL 95.477066 113.78035 \nL 93.976294 109.176338 \nL 92.967497 104.855423 \nL 92.489244 100.920906 \nL 92.567321 97.465357 \nL 93.212813 94.565204 \nL 94.420937 92.276443 \nL 96.170958 90.632061 \nL 98.427007 89.641272 \nL 101.1399 89.290742 \nL 104.24966 89.547406 \nL 107.68855 90.362461 \nL 111.384293 91.675983 \nL 115.263262 93.421653 \nL 119.25336 95.530999 \nL 123.286445 97.936998 \nL 127.300177 100.576767 \nL 131.239314 103.393393 \nL 135.056453 106.336883 \nL 138.712259 109.364472 \nL 142.175316 112.440405 \nL 145.421663 115.535398 \nL 148.434109 118.625888 \nL 151.201451 121.693179 \nL 153.71759 124.722598 \nL 155.980674 127.702738 \nL 157.992252 130.624717 \nL 159.7565 133.48159 \nL 161.279514 136.267844 \nL 162.568706 138.978966 \nL 163.632254 141.611113 \nL 164.478671 144.160811 \nL 165.116423 146.62478 \nL 165.553643 148.9997 \nL 165.797893 151.282079 \nL 165.85599 153.468131 \nL 165.733876 155.553638 \nL 165.43654 157.533851 \nL 164.967968 159.40336 \nL 164.331125 161.155985 \nL 163.527978 162.784684 \nL 162.559531 164.281398 \nL 161.425887 165.63694 \nL 160.126351 166.840884 \nL 158.659549 167.88142 \nL 157.023566 168.745221 \nL 155.216145 169.41735 \nL 153.234903 169.881188 \nL 151.077615 170.118354 \nL 148.74253 170.108738 \nL 146.22875 169.830601 \nL 143.53669 169.260763 \nL 140.668609 168.374964 \nL 137.629212 167.148393 \nL 134.426322 165.556496 \nL 131.071626 163.576016 \nL 127.581481 161.186358 \nL 123.977723 158.371324 \nL 120.288445 155.121165 \nL 116.548711 151.434937 \nL 112.801065 147.323066 \nL 109.095775 142.809924 \nL 105.490674 137.936179 \nL 102.050514 132.760611 \nL 98.845678 127.361003 \nL 95.950206 121.833664 \nL 93.439148 116.291348 \nL 91.38529 110.859316 \nL 89.855439 105.669639 \nL 88.906507 100.853997 \nL 88.581795 96.535772 \nL 88.907817 92.822052 \nL 89.892067 89.796858 \nL 91.521945 87.516072 \nL 93.76513 86.005049 \nL 96.571206 85.258886 \nL 99.8745 85.245321 \nL 103.597785 85.909561 \nL 107.656388 87.180365 \nL 111.962444 88.976479 \nL 116.428796 91.212736 \nL 120.972352 93.80519 \nL 125.516725 96.675027 \nL 129.994113 99.751256 \nL 134.346343 102.972053 \nL 138.525323 106.285295 \nL 142.492884 109.648189 \nL 146.22021 113.026508 \nL 149.686993 116.393495 \nL 152.880408 119.728687 \nL 155.793997 123.016764 \nL 158.426555 126.246471 \nL 160.781083 129.40965 \nL 162.863789 132.500503 \nL 164.683213 135.514898 \nL 166.249468 138.449879 \nL 167.573582 141.303242 \nL 168.666951 144.073241 \nL 169.540899 146.75833 \nL 170.206323 149.356994 \nL 170.673408 151.867582 \nL 170.951428 154.288214 \nL 171.048585 156.616649 \nL 170.971916 158.850215 \nL 170.727217 160.985699 \nL 170.319021 163.019274 \nL 169.750583 164.946372 \nL 169.023903 166.761594 \nL 168.139763 168.458594 \nL 167.097773 170.029925 \nL 165.896457 171.466904 \nL 164.533329 172.759458 \nL 163.005011 173.895949 \nL 161.307367 174.863004 \nL 159.43568 175.645331 \nL 157.384836 176.225558 \nL 155.149593 176.584063 \nL 152.724881 176.698878 \nL 150.106174 176.545648 \nL 147.289952 176.097655 \nL 144.274232 175.326032 \nL 141.059238 174.200119 \nL 137.648133 172.688085 \nL 134.047915 170.757887 \nL 130.270377 168.378598 \nL 126.333185 165.522202 \nL 122.260981 162.165918 \nL 118.086491 158.294991 \nL 113.851498 153.906032 \nL 109.607645 149.010604 \nL 105.416772 143.638965 \nL 101.350773 137.843438 \nL 97.490672 131.700996 \nL 93.924812 125.314368 \nL 90.746053 118.811122 \nL 88.047941 112.340147 \nL 85.920044 106.065376 \nL 84.442687 100.156885 \nL 83.681568 94.780067 \nL 83.682846 90.084048 \nL 84.469209 86.190836 \nL 86.037507 83.186667 \nL 88.3583 81.116966 \nL 91.377377 79.985263 \nL 95.019089 79.756301 \nL 99.191103 80.362466 \nL 103.789992 81.712351 \nL 108.707048 83.700128 \nL 113.833779 86.214474 \nL 119.066614 89.146145 \nL 124.310599 92.393604 \nL 129.481951 95.866744 \nL 134.509516 99.488697 \nL 139.335278 103.196235 \nL 143.914082 106.939051 \nL 148.212795 110.678375 \nL 152.209087 114.385294 \nL 155.890015 118.038993 \nL 159.25052 121.62502 \nL 162.291944 125.133837 \nL 165.020652 128.559509 \nL 167.446775 131.898708 \nL 169.58311 135.149887 \nL 171.444173 138.312657 \nL 173.045416 141.38734 \nL 174.402581 144.374635 \nL 175.531184 147.275379 \nL 176.446115 150.090384 \nL 177.161334 152.820318 \nL 177.689651 155.465619 \nL 178.04257 158.02646 \nL 178.230181 160.502658 \nL 178.261111 162.893661 \nL 178.14249 165.198477 \nL 177.879955 167.415645 \nL 177.477659 169.543145 \nL 176.938308 171.578342 \nL 176.263187 173.517908 \nL 175.452217 175.357692 \nL 174.50399 177.092612 \nL 173.415829 178.716523 \nL 172.183847 180.222051 \nL 170.803 181.600392 \nL 169.267174 182.841129 \nL 167.569269 183.93198 \nL 165.701308 184.85855 \nL 163.654577 185.604059 \nL 161.419803 186.149062 \nL 158.987388 186.471152 \nL 156.347697 186.5447 \nL 153.491437 186.34063 \nL 150.410137 185.826291 \nL 147.096749 184.965447 \nL 143.546399 183.718476 \nL 139.757295 182.042881 \nL 135.731824 179.894176 \nL 131.477829 177.227307 \nL 127.010077 173.998764 \nL 122.351874 170.169427 \nL 117.536747 165.708332 \nL 112.610136 160.597326 \nL 107.630821 154.836484 \nL 102.672016 148.450027 \nL 97.821662 141.492167 \nL 93.181792 134.052116 \nL 88.866497 126.257145 \nL 84.998345 118.272591 \nL 81.703142 110.297729 \nL 79.103125 102.556865 \nL 77.309106 95.285782 \nL 76.412182 88.71455 \nL 76.476075 83.048862 \nL 77.531039 78.452491 \nL 79.570325 75.033897 \nL 82.549781 72.838907 \nL 86.390651 71.850847 \nL 90.985252 71.997428 \nL 96.204729 73.162938 \nL 101.907759 75.203105 \nL 107.949279 77.960321 \nL 114.188273 81.277054 \nL 120.494059 85.006209 \nL 126.750732 89.017861 \nL 132.859864 93.202784 \nL 138.741532 97.473179 \nL 144.334093 101.761422 \nL 149.592997 106.017708 \nL 154.489008 110.207124 \nL 159.006078 114.306604 \nL 163.139138 118.302163 \nL 166.891938 122.186465 \nL 170.275059 125.956868 \nL 173.304129 129.613848 \nL 175.998288 133.159849 \nL 178.37891 136.598428 \nL 180.468548 139.933696 \nL 182.290095 143.169899 \nL 183.866131 146.311195 \nL 185.218439 149.361506 \nL 186.367645 152.324456 \nL 187.332973 155.203327 \nL 188.132092 158.001095 \nL 188.781036 160.720411 \nL 189.684183 165.932935 \nL 190.137652 170.856962 \nL 190.211793 175.505074 \nL 189.954337 179.886669 \nL 189.392792 184.007917 \nL 188.536546 187.871247 \nL 187.378444 191.474402 \nL 185.895744 194.808889 \nL 185.021396 196.370474 \nL 184.050448 197.857673 \nL 182.975725 199.266473 \nL 181.789041 200.591823 \nL 180.481166 201.827466 \nL 179.041801 202.965679 \nL 177.459552 203.997029 \nL 175.721901 204.910043 \nL 173.815204 205.690853 \nL 171.724711 206.32275 \nL 169.434607 206.78572 \nL 166.928106 207.055892 \nL 164.187613 207.104933 \nL 161.194973 206.899419 \nL 157.93183 206.40018 \nL 154.380153 205.561686 \nL 150.522936 204.331538 \nL 146.345166 202.650177 \nL 141.835078 200.450952 \nL 136.985771 197.660782 \nL 131.79723 194.20167 \nL 126.278782 189.993395 \nL 120.452018 184.957787 \nL 114.354056 179.024918 \nL 108.041038 172.141532 \nL 101.591574 164.281723 \nL 95.109659 155.459466 \nL 88.726419 145.742063 \nL 82.600001 135.262518 \nL 76.912652 124.228311 \nL 71.864338 112.923188 \nL 67.662485 101.698854 \nL 64.50812 90.954565 \nL 62.579453 81.104985 \nL 62.014886 72.539679 \nL 62.897975 65.581037 \nL 65.247037 60.448652 \nL 69.011431 57.237672 \nL 74.075288 55.915546 \nL 80.268173 56.336953 \nL 87.380645 58.272303 \nL 95.182177 61.442875 \nL 103.438637 65.5553 \nL 111.927321 70.329884 \nL 120.44811 75.520076 \nL 128.830545 80.922765 \nL 136.936999 86.380782 \nL 144.662741 91.780037 \nL 151.933782 97.043491 \nL 158.703369 102.123829 \nL 164.947805 106.996201 \nL 170.66214 111.651782 \nL 175.85609 116.092444 \nL 180.550373 120.326638 \nL 184.773553 124.366392 \nL 188.559423 128.225186 \nL 191.944892 131.916613 \nL 194.968329 135.453494 \nL 197.668303 138.847439 \nL 200.082657 142.108634 \nL 204.198541 148.266253 \nL 207.584541 153.979809 \nL 211.79843 161.788516 \nL 215.542422 168.724588 \nL 218.037329 172.85962 \nL 220.685044 176.581039 \nL 222.103394 178.275798 \nL 223.603598 179.851803 \nL 225.199428 181.30125 \nL 226.904497 182.614724 \nL 228.732331 183.780987 \nL 230.696415 184.786738 \nL 232.810191 185.616351 \nL 235.087018 186.251581 \nL 237.540052 186.671291 \nL 240.182089 186.851163 \nL 243.025279 186.763455 \nL 246.080761 186.376818 \nL 249.358168 185.656234 \nL 252.864997 184.563118 \nL 256.605774 183.055687 \nL 260.58109 181.089697 \nL 264.786385 178.619632 \nL 269.210584 175.600563 \nL 273.834531 171.990696 \nL 278.629309 167.754834 \nL 283.554544 162.868725 \nL 288.556813 157.324292 \nL 293.568395 151.135499 \nL 298.5066 144.344424 \nL 303.274031 137.026789 \nL 307.76002 129.296028 \nL 311.843657 121.304634 \nL 315.39844 113.241714 \nL 318.298597 105.3259 \nL 320.426754 97.793241 \nL 321.682267 90.881017 \nL 321.989373 84.808956 \nL 321.304122 79.760632 \nL 319.619048 75.867917 \nL 316.964789 73.201037 \nL 313.408476 71.765833 \nL 309.04894 71.508425 \nL 304.009542 72.325827 \nL 298.429534 74.080483 \nL 292.455104 76.615873 \nL 286.231013 79.770992 \nL 279.893657 83.392124 \nL 273.565832 87.341045 \nL 267.353432 91.499678 \nL 261.343786 95.771714 \nL 255.605509 100.081945 \nL 250.189411 104.374242 \nL 245.130121 108.608588 \nL 240.448154 112.758063 \nL 236.152144 116.805859 \nL 232.241068 120.742694 \nL 228.706329 124.564656 \nL 225.533638 128.271461 \nL 222.704651 131.865158 \nL 220.198354 135.349182 \nL 217.99221 138.727654 \nL 216.063067 142.004952 \nL 214.387887 145.185417 \nL 212.944283 148.273169 \nL 211.710927 151.272044 \nL 210.667826 154.185542 \nL 209.79651 157.016822 \nL 209.080131 159.768724 \nL 208.053153 165.044312 \nL 207.485338 170.029639 \nL 207.300345 174.738545 \nL 207.444792 179.181782 \nL 207.885754 183.367178 \nL 208.608494 187.299271 \nL 209.614701 190.978641 \nL 210.921332 194.400679 \nL 212.560111 197.553747 \nL 213.518021 199.023212 \nL 214.577631 200.416453 \nL 215.747195 201.72863 \nL 217.035993 202.953703 \nL 218.454376 204.084227 \nL 220.013793 205.111074 \nL 221.726819 206.023121 \nL 223.607174 206.806888 \nL 225.669711 207.446115 \nL 227.93039 207.921272 \nL 230.406192 208.20901 \nL 233.114975 208.281561 \nL 236.07526 208.106076 \nL 239.305878 207.64395 \nL 242.82549 206.850158 \nL 246.651905 205.672695 \nL 250.801171 204.052195 \nL 255.286343 201.921881 \nL 260.11592 199.208083 \nL 265.291852 195.831552 \nL 270.807096 191.709946 \nL 276.642719 186.761847 \nL 282.764566 180.912724 \nL 289.119673 174.103171 \nL 295.632649 166.299539 \nL 302.202497 157.506635 \nL 308.700465 147.781657 \nL 314.96972 137.247509 \nL 320.82773 126.102895 \nL 326.072168 114.625808 \nL 330.490776 103.167007 \nL 333.875165 92.130988 \nL 336.037465 81.944423 \nL 336.828059 73.014983 \nL 336.151644 65.687209 \nL 333.978923 60.203817 \nL 330.351613 56.680692 \nL 325.379636 55.1007 \nL 319.230992 55.326933 \nL 312.116134 57.131041 \nL 304.269559 60.229421 \nL 295.931495 64.319619 \nL 287.331981 69.110782 \nL 278.678809 74.34495 \nL 270.149783 79.808615 \nL 261.889088 85.336078 \nL 254.006938 90.806744 \nL 246.581652 96.139014 \nL 239.663212 101.282702 \nL 233.277554 106.211394 \nL 227.431016 110.915655 \nL 222.114588 115.397364 \nL 217.307724 119.665393 \nL 212.981631 123.732392 \nL 209.102005 127.612544 \nL 205.631228 131.32014 \nL 202.530101 134.86864 \nL 199.759155 138.270207 \nL 197.279622 141.535485 \nL 193.047084 147.692017 \nL 189.556877 153.393476 \nL 185.196288 161.164141 \nL 181.301224 168.035165 \nL 178.695875 172.107953 \nL 177.339206 173.98414 \nL 175.925809 175.747687 \nL 174.44092 177.392756 \nL 172.870222 178.912164 \nL 171.199725 180.297211 \nL 169.415674 181.53749 \nL 167.504484 182.620671 \nL 165.452719 183.532241 \nL 163.247119 184.255266 \nL 160.874678 184.770116 \nL 158.322786 185.05421 \nL 155.579462 185.081779 \nL 152.633677 184.823698 \nL 149.475788 184.247396 \nL 146.098106 183.316949 \nL 142.495627 181.993358 \nL 138.666906 180.235158 \nL 134.615143 177.999464 \nL 130.349425 175.243517 \nL 125.886163 171.926936 \nL 121.250598 168.014703 \nL 116.478426 163.481014 \nL 111.617294 158.313907 \nL 106.728063 152.520594 \nL 101.885614 146.133059 \nL 97.178857 139.213413 \nL 92.709721 131.858118 \nL 88.5908 124.200141 \nL 84.94149 116.407889 \nL 81.882549 108.680085 \nL 79.529353 101.236132 \nL 77.98421 94.30232 \nL 77.328629 88.095088 \nL 77.616309 82.803512 \nL 78.86793 78.573449 \nL 81.06846 75.49619 \nL 84.167475 73.60308 \nL 88.082481 72.867048 \nL 92.704778 73.210271 \nL 97.907045 74.516238 \nL 103.551707 76.644033 \nL 109.499074 79.442344 \nL 115.614496 82.761673 \nL 121.774046 86.463507 \nL 127.868457 90.426222 \nL 133.80541 94.547919 \nL 139.510349 98.746845 \nL 144.926079 102.9601 \nL 150.011583 107.141322 \nL 154.740254 111.257934 \nL 159.097865 115.288311 \nL 163.080467 119.219231 \nL 166.692344 123.043608 \nL 169.944133 126.758711 \nL 172.851152 130.364724 \nL 175.431951 133.863667 \nL 177.707117 137.258642 \nL 179.698272 140.553244 \nL 181.427289 143.751261 \nL 182.915682 146.856385 \nL 184.18414 149.872125 \nL 185.252195 152.801716 \nL 186.13799 155.648077 \nL 186.858131 158.413841 \nL 187.427608 161.101334 \nL 187.859761 163.712618 \nL 188.357293 168.713494 \nL 188.425375 173.427923 \nL 188.114826 177.863587 \nL 187.454755 182.024113 \nL 186.45454 185.908386 \nL 185.105389 189.509204 \nL 184.292502 191.198908 \nL 183.381329 192.811205 \nL 182.366009 194.342403 \nL 181.239634 195.787853 \nL 179.994233 197.141783 \nL 178.620769 198.397077 \nL 177.109121 199.545054 \nL 175.448076 200.575172 \nL 173.625341 201.474708 \nL 171.627559 202.228374 \nL 169.440366 202.817906 \nL 167.048477 203.221571 \nL 164.435838 203.413644 \nL 161.585848 203.363863 \nL 158.481679 203.036842 \nL 155.10674 202.391543 \nL 151.445294 201.380808 \nL 147.483288 199.951088 \nL 143.209454 198.042468 \nL 138.61669 195.589159 \nL 133.703817 192.5207 \nL 128.477693 188.764124 \nL 122.955738 184.24742 \nL 117.168781 178.90459 \nL 111.164139 172.682581 \nL 105.008732 165.55019 \nL 98.791809 157.508677 \nL 92.626886 148.603448 \nL 86.652205 138.935448 \nL 81.028968 128.670136 \nL 75.936793 118.04154 \nL 71.565776 107.348429 \nL 68.105324 96.94062 \nL 65.730234 87.194712 \nL 64.585558 78.481128 \nL 64.772199 71.127063 \nL 66.33553 65.381742 \nL 69.259167 61.390981 \nL 73.465049 59.186052 \nL 78.820008 58.688826 \nL 85.147614 59.730917 \nL 92.243313 62.082026 \nL 99.890504 65.481027 \nL 107.875385 69.664347 \nL 115.999073 74.387839 \nL 124.086133 79.440742 \nL 131.989554 84.652111 \nL 139.592537 89.89124 \nL 146.807783 95.064185 \nL 153.575121 100.108025 \nL 159.85811 104.984461 \nL 165.640228 109.673668 \nL 170.921036 114.168904 \nL 175.712582 118.472143 \nL 180.036207 122.59073 \nL 183.919816 126.534901 \nL 187.39561 130.316083 \nL 190.498261 133.9458 \nL 193.263483 137.434956 \nL 195.726954 140.793482 \nL 197.923515 144.030161 \nL 199.886616 147.152608 \nL 203.237239 153.079672 \nL 206.008289 158.614623 \nL 210.570018 168.602638 \nL 212.670398 173.076735 \nL 214.821491 177.202314 \nL 217.133932 180.964942 \nL 218.383087 182.70218 \nL 219.711021 184.337194 \nL 221.130302 185.863909 \nL 222.653597 187.27487 \nL 224.293767 188.561042 \nL 226.063944 189.711557 \nL 227.977566 190.713444 \nL 230.048394 191.551318 \nL 232.290475 192.207034 \nL 234.718053 192.659334 \nL 237.345409 192.883465 \nL 240.186628 192.850802 \nL 243.25525 192.528532 \nL 246.563803 191.879383 \nL 250.123162 190.861522 \nL 253.941745 189.428669 \nL 258.024492 187.530566 \nL 262.371585 185.113893 \nL 266.976939 182.123889 \nL 271.826419 178.506773 \nL 276.895867 174.213188 \nL 282.148937 169.202869 \nL 287.534982 163.450479 \nL 292.987088 156.952622 \nL 298.420667 149.73557 \nL 303.732882 141.862998 \nL 308.803438 133.442622 \nL 313.49712 124.630258 \nL 317.668406 115.629598 \nL 321.168301 106.686269 \nL 323.853199 98.075318 \nL 325.595113 90.08235 \nL 326.292184 82.980256 \nL 325.878189 77.004523 \nL 324.329575 72.331322 \nL 321.668803 69.062227 \nL 317.963505 67.218188 \nL 313.32137 66.743666 \nL 307.881707 67.519305 \nL 301.804797 69.380439 \nL 295.26063 72.137426 \nL 288.418354 75.594883 \nL 281.437392 79.566985 \nL 274.460871 83.888186 \nL 267.611475 88.418984 \nL 260.989514 93.047694 \nL 254.672798 97.689206 \nL 248.717915 102.281933 \nL 243.162346 106.783875 \nL 238.027071 111.168541 \nL 233.319351 115.421107 \nL 229.035424 119.535173 \nL 225.163025 123.51006 \nL 221.683594 127.348802 \nL 218.57419 131.056599 \nL 215.80907 134.639726 \nL 213.360977 138.104853 \nL 211.202154 141.458561 \nL 209.305119 144.70705 \nL 207.643242 147.856045 \nL 206.191154 150.910734 \nL 204.925018 153.875745 \nL 202.863815 159.55285 \nL 201.303779 164.915484 \nL 200.116657 169.986397 \nL 199.19917 174.784515 \nL 198.153893 181.505247 \nL 195.468285 200.291402 \nL 194.450303 204.97016 \nL 193.623862 207.86489 \nL 192.639675 210.582861 \nL 191.457808 213.122668 \nL 190.030789 215.478027 \nL 188.301421 217.635642 \nL 187.302224 218.63348 \nL 186.200328 219.57206 \nL 184.984707 220.446092 \nL 183.643217 221.248947 \nL 182.162503 221.972371 \nL 180.527903 222.606142 \nL 178.723358 223.137664 \nL 176.731343 223.551471 \nL 174.532816 223.828644 \nL 172.1072 223.946128 \nL 169.432415 223.875933 \nL 166.484998 223.584229 \nL 163.240323 223.030337 \nL 159.672966 222.165632 \nL 155.757276 220.932429 \nL 151.468224 219.262925 \nL 146.782572 217.078362 \nL 141.68053 214.288621 \nL 136.147919 210.792597 \nL 130.17903 206.479819 \nL 123.780208 201.233898 \nL 116.974195 194.938518 \nL 109.805257 187.486766 \nL 102.344772 178.79443 \nL 94.696877 168.817491 \nL 87.003382 157.573315 \nL 79.44685 145.163572 \nL 72.250322 131.79533 \nL 65.672181 117.794749 \nL 59.994768 103.606854 \nL 55.506214 89.775299 \nL 52.476432 76.899247 \nL 51.129735 65.570333 \nL 51.618393 56.29975 \nL 54.002311 49.450962 \nL 58.238962 45.194265 \nL 64.186353 43.494384 \nL 71.618229 44.132695 \nL 80.24848 46.756247 \nL 89.759748 50.939129 \nL 99.831319 56.241846 \nL 110.162301 62.258026 \nL 120.488039 68.643624 \nL 130.589417 75.129442 \nL 149.48381 87.687588 \nL 166.014452 99.083792 \nL 179.921658 109.114847 \nL 185.916295 113.645131 \nL 191.314966 117.883121 \nL 196.16111 121.854869 \nL 200.502893 125.585503 \nL 204.390715 129.097887 \nL 207.875366 132.411988 \nL 213.832616 138.509633 \nL 218.747333 143.977419 \nL 228.511753 155.182713 \nL 232.056965 158.685119 \nL 233.850191 160.211643 \nL 235.683309 161.579062 \nL 237.573645 162.778541 \nL 239.536836 163.79975 \nL 241.586895 164.630803 \nL 243.736226 165.25825 \nL 245.995588 165.667065 \nL 248.374008 165.840738 \nL 250.878605 165.761323 \nL 253.514368 165.409696 \nL 256.283841 164.765822 \nL 259.186749 163.809261 \nL 262.219537 162.519759 \nL 265.374856 160.878153 \nL 268.641001 158.867443 \nL 272.00132 156.47416 \nL 275.43364 153.689976 \nL 278.909731 150.513556 \nL 282.394949 146.952569 \nL 285.848006 143.025741 \nL 289.2211 138.764752 \nL 292.460363 134.2158 \nL 295.506828 129.440491 \nL 298.297863 124.515834 \nL 300.769163 119.533045 \nL 302.857261 114.594938 \nL 304.502439 109.811988 \nL 305.65184 105.29712 \nL 306.262606 101.159674 \nL 306.304662 97.49903 \nL 305.762968 94.398724 \nL 304.638884 91.921562 \nL 302.950565 90.106484 \nL 300.732244 88.96736 \nL 298.032514 88.493944 \nL 294.911807 88.654624 \nL 291.439235 89.400482 \nL 287.689227 90.670161 \nL 283.738111 92.394902 \nL 279.66106 94.503198 \nL 275.52942 96.92467 \nL 271.408686 99.593094 \nL 267.357057 102.448432 \nL 263.424599 105.43793 \nL 259.652939 108.516486 \nL 256.075387 111.646488 \nL 252.717403 114.797219 \nL 249.597278 117.944058 \nL 246.726989 121.067602 \nL 244.113087 124.15274 \nL 241.757625 127.187836 \nL 239.659029 130.16396 \nL 237.812938 133.074224 \nL 236.212927 135.913278 \nL 234.851168 138.676828 \nL 233.719001 141.361288 \nL 232.80739 143.96351 \nL 232.107321 146.480527 \nL 231.610117 148.909382 \nL 231.307682 151.246965 \nL 231.192688 153.48988 \nL 231.258714 155.634341 \nL 231.500332 157.676034 \nL 231.91317 159.610038 \nL 232.493924 161.430688 \nL 233.24036 163.131466 \nL 234.151265 164.704895 \nL 235.226412 166.142408 \nL 236.466463 167.43419 \nL 237.872863 168.569078 \nL 239.447707 169.534416 \nL 241.193569 170.315903 \nL 243.113308 170.897513 \nL 245.209808 171.261399 \nL 247.485688 171.387842 \nL 249.942942 171.255294 \nL 252.582511 170.840497 \nL 255.40379 170.118736 \nL 258.404048 169.064282 \nL 261.577763 167.651018 \nL 264.915884 165.853349 \nL 268.405022 163.647436 \nL 272.026588 161.0128 \nL 275.755924 157.934243 \nL 279.561509 154.404202 \nL 283.404248 150.425327 \nL 287.236994 146.013293 \nL 291.004439 141.199512 \nL 294.643457 136.033492 \nL 298.084029 130.584471 \nL 301.250878 124.941868 \nL 304.065838 119.214118 \nL 306.450978 113.52567 \nL 308.332305 108.011934 \nL 309.643864 102.812432 \nL 310.331857 98.062611 \nL 310.358411 93.885186 \nL 309.704578 90.382036 \nL 308.372161 87.627624 \nL 306.384179 85.664916 \nL 303.78379 84.504176 \nL 300.631917 84.124741 \nL 297.003708 84.479259 \nL 292.984321 85.499734 \nL 288.66443 87.104414 \nL 284.135835 89.204583 \nL 279.487583 91.710591 \nL 274.802801 94.5367 \nL 270.156353 97.604573 \nL 265.613315 100.845221 \nL 261.228268 104.19994 \nL 257.045199 107.62027 \nL 253.097942 111.067253 \nL 249.410977 114.510373 \nL 246.000471 117.926315 \nL 242.875411 121.29767 \nL 240.038804 124.611733 \nL 237.488829 127.85944 \nL 235.219907 131.034458 \nL 233.223672 134.132456 \nL 231.489826 137.150476 \nL 230.00686 140.086506 \nL 228.76268 142.939096 \nL 227.745109 145.707101 \nL 226.942281 148.389463 \nL 226.342973 150.985064 \nL 225.936836 153.49259 \nL 225.714581 155.910427 \nL 225.668097 158.236601 \nL 225.790538 160.468651 \nL 226.07637 162.603571 \nL 226.521379 164.637719 \nL 227.12268 166.566706 \nL 227.878679 168.385295 \nL 228.789043 170.087285 \nL 229.854628 171.66535 \nL 231.077425 173.110923 \nL 232.460458 174.414009 \nL 234.007684 175.563007 \nL 235.723852 176.544523 \nL 237.614359 177.343171 \nL 239.685033 177.941399 \nL 241.941904 178.319297 \nL 244.390892 178.45445 \nL 247.037444 178.321863 \nL 249.886079 177.893988 \nL 252.939846 177.140814 \nL 256.19966 176.03025 \nL 259.663522 174.528681 \nL 263.325635 172.601869 \nL 267.175368 170.216294 \nL 271.19613 167.340934 \nL 275.364188 163.949651 \nL 279.647443 160.024101 \nL 284.004333 155.557235 \nL 288.382932 150.557189 \nL 292.720388 145.051351 \nL 296.942986 139.090204 \nL 300.966944 132.750356 \nL 304.700165 126.136149 \nL 308.045078 119.379062 \nL 310.902588 112.634405 \nL 313.177012 106.074868 \nL 314.781736 99.881181 \nL 315.645018 94.230432 \nL 315.715466 89.283435 \nL 314.966427 85.172651 \nL 313.398735 81.992539 \nL 311.04138 79.793562 \nL 307.950035 78.580909 \nL 304.203529 78.317605 \nL 299.898768 78.931516 \nL 295.144696 80.324767 \nL 290.056 82.383936 \nL 284.747151 84.989935 \nL 279.327335 88.026233 \nL 273.896459 91.384977 \nL 268.54243 94.970948 \nL 263.339604 98.703461 \nL 258.348318 102.516638 \nL 253.615217 106.358576 \nL 249.174189 110.189715 \nL 245.047715 113.981 \nL 241.248409 117.711862 \nL 237.780631 121.368423 \nL 234.642079 124.941859 \nL 231.82525 128.427028 \nL 229.318772 131.821411 \nL 227.108559 135.124246 \nL 225.178802 138.335904 \nL 223.512775 141.457406 \nL 222.093513 144.490108 \nL 220.904327 147.435458 \nL 219.929225 150.294859 \nL 219.153205 153.069551 \nL 218.56248 155.760536 \nL 218.144632 158.368548 \nL 217.888703 160.893988 \nL 217.785253 163.336933 \nL 217.826377 165.697057 \nL 218.005699 167.973627 \nL 218.31836 170.16543 \nL 218.760972 172.270741 \nL 219.331593 174.287232 \nL 220.029671 176.211897 \nL 220.85601 178.040951 \nL 221.812718 179.769698 \nL 222.903161 181.392412 \nL 224.131915 182.902161 \nL 225.504715 184.290619 \nL 227.028393 185.547854 \nL 228.710806 186.662085 \nL 230.560746 187.619415 \nL 232.587829 188.40353 \nL 234.802336 188.995395 \nL 237.215016 189.372917 \nL 239.836827 189.510631 \nL 242.678584 189.379399 \nL 245.750535 188.946182 \nL 249.06177 188.173919 \nL 252.619515 187.021583 \nL 256.428239 185.444524 \nL 260.48857 183.395161 \nL 264.795989 180.824228 \nL 269.339302 177.682655 \nL 274.098941 173.92431 \nL 279.045092 169.509671 \nL 284.135802 164.410598 \nL 289.315165 158.616016 \nL 294.511874 152.138459 \nL 299.638387 145.020854 \nL 304.591107 137.342807 \nL 309.2519 129.225237 \nL 313.491295 120.832077 \nL 317.173607 112.367601 \nL 320.163897 104.068498 \nL 322.336415 96.190317 \nL 323.58387 88.989109 \nL 323.826394 82.700411 \nL 323.019117 77.51848 \nL 321.157111 73.579251 \nL 318.276906 70.949976 \nL 314.45433 69.627106 \nL 309.798885 69.542473 \nL 304.445512 70.576131 \nL 298.544951 72.573009 \nL 292.253859 75.360465 \nL 285.72585 78.764082 \nL 279.104147 82.620033 \nL 272.516289 86.783378 \nL 266.07088 91.132377 \nL 259.856239 95.569519 \nL 253.940536 100.020226 \nL 248.373045 104.430123 \nL 243.186113 108.761684 \nL 238.397501 112.990707 \nL 234.012842 117.103113 \nL 230.028044 121.092175 \nL 226.431505 124.956244 \nL 223.206082 128.697008 \nL 220.330772 132.318188 \nL 217.782128 135.824601 \nL 215.535404 139.221512 \nL 213.56547 142.514226 \nL 211.847508 145.707845 \nL 210.357537 148.80714 \nL 209.072788 151.816461 \nL 207.97196 154.739756 \nL 207.03537 157.580584 \nL 205.584697 163.027364 \nL 204.59736 168.178922 \nL 203.97599 173.053659 \nL 203.646675 177.667192 \nL 203.555859 182.033051 \nL 203.667304 186.163047 \nL 203.959441 190.067424 \nL 204.423264 193.754774 \nL 205.06083 197.231805 \nL 205.884369 200.50286 \nL 206.915974 203.569182 \nL 208.187864 206.427792 \nL 209.743159 209.069797 \nL 211.637178 211.477914 \nL 212.732251 212.585692 \nL 213.939176 213.622784 \nL 215.269136 214.582756 \nL 216.734464 215.457627 \nL 218.348709 216.237545 \nL 220.126705 216.910423 \nL 222.084625 217.461483 \nL 224.240007 217.872746 \nL 226.611752 218.122413 \nL 229.220071 218.184165 \nL 232.086356 218.026376 \nL 235.232961 217.611241 \nL 238.682842 216.893839 \nL 242.459013 215.821213 \nL 246.58376 214.331505 \nL 251.077564 212.353296 \nL 255.957624 209.805376 \nL 261.235898 206.597176 \nL 266.916605 202.630283 \nL 272.993086 197.80151 \nL 279.444013 192.008125 \nL 286.229006 185.155808 \nL 293.283838 177.169899 \nL 300.515586 168.010067 \nL 307.798419 157.688063 \nL 314.970869 146.286937 \nL 321.835807 133.979073 \nL 328.164385 121.03866 \nL 333.70507 107.843413 \nL 338.198349 94.860578 \nL 341.396567 82.614233 \nL 343.087046 71.635488 \nL 343.115283 62.402203 \nL 341.404091 55.279905 \nL 337.964878 50.477256 \nL 332.898513 48.026365 \nL 326.385447 47.792061 \nL 318.667081 49.505889 \nL 310.022008 52.814896 \nL 300.741306 57.333312 \nL 291.106643 62.686951 \nL 281.373433 68.544511 \nL 271.759985 74.63462 \nL 262.442404 80.750467 \nL 253.554094 86.745813 \nL 237.404137 98.036817 \nL 230.229778 103.254311 \nL 223.67074 108.174932 \nL 217.714079 112.808316 \nL 212.333438 117.171528 \nL 207.493096 121.285069 \nL 203.151271 125.170182 \nL 199.262739 128.847157 \nL 195.780837 132.334386 \nL 192.65896 135.647886 \nL 187.31529 141.805333 \nL 182.893089 147.399189 \nL 174.017062 159.154719 \nL 170.744088 162.96906 \nL 169.07556 164.672976 \nL 167.360425 166.233003 \nL 165.581506 167.64102 \nL 163.722864 168.887357 \nL 161.769701 169.96066 \nL 159.708335 170.847795 \nL 157.52618 171.533726 \nL 155.211816 172.001438 \nL 152.755117 172.231888 \nL 150.147433 172.203985 \nL 147.381897 171.894712 \nL 147.381897 171.894712 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p5fa4cf41e2\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.87725pt\" version=\"1.1\" viewBox=\"0 0 292.704431 286.87725\" width=\"292.704431pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:38:12.685850</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.87725 \nL 292.704431 286.87725 \nL 292.704431 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 31.058382 208.926988 \nL 118.739291 135.072318 \nL 117.668233 28.744312 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 63.871511 219.643756 \nL 149.793526 144.098558 \nL 150.049805 36.952096 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.473063 230.618022 \nL 181.531533 153.323543 \nL 183.175483 45.34849 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 131.891799 241.859182 \nL 213.976147 162.753912 \nL 217.071216 53.94007 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.157897 253.377089 \nL 247.151233 172.3966 \nL 251.764169 62.733723 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 31.821784 208.283965 \nL 29.528308 210.215787 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(12.971799 232.199617)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 64.620319 218.985381 \nL 62.370649 220.963358 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(45.818343 243.143389)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 98.206352 229.943739 \nL 96.003269 231.969545 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(86.828206 254.351114)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 132.608588 241.168407 \nL 130.455039 243.243798 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(118.106961 265.832458)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 167.857148 252.66921 \nL 165.756254 254.796029 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(153.418647 277.597563)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 36.104265 84.610674 \nL 40.837517 196.34427 \nL 189.060192 243.910769 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 52.15454 72.897914 \nL 56.124734 183.530222 \nL 202.905948 229.701617 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 67.728973 61.532403 \nL 70.978075 171.079857 \nL 216.338369 215.91665 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 82.848416 50.498922 \nL 85.415755 158.977908 \nL 229.375691 202.53715 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.532519 39.783132 \nL 99.454979 147.209952 \nL 242.035093 189.545489 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 111.799819 29.371506 \nL 113.112018 135.76235 \nL 254.332773 176.925044 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 187.811582 243.510075 \nL 191.560618 244.713187 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(191.297449 264.829283)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 201.670423 229.312971 \nL 205.380122 230.479892 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(204.957401 250.409862)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 215.11571 215.539517 \nL 218.786732 216.671854 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(225.580422 236.42115)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 228.16568 202.171027 \nL 231.79868 203.270296 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(235.261088 222.844134)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 240.837517 189.1899 \nL 244.43314 190.257528 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(247.749961 209.660902)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 253.147421 176.57954 \nL 256.706304 177.616875 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(259.881787 196.854566)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.248597 151.827113 \nL 114.913885 111.574818 \nL 26.149294 183.941474 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.231116 130.371409 \nL 114.675184 90.816784 \nL 25.090386 161.952558 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.23081 108.540651 \nL 114.432512 69.71345 \nL 24.012252 139.564405 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.248132 86.324919 \nL 114.18577 48.25613 \nL 22.914364 116.766043 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.053488 151.489136 \nL 259.641684 152.503878 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.303552 156.866197)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.02526 130.039154 \nL 260.645747 131.036723 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.442162 135.453881)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.014012 108.214371 \nL 261.667376 109.194009 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.600614 113.668423)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.020194 86.004877 \nL 262.707037 86.965793 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.779431 91.499983)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#pc4f50c0e8e)\" d=\"M 142.612252 191.042413 \nL 142.888837 190.237261 \nL 143.463443 189.597415 \nL 144.332709 189.025964 \nL 146.25285 188.134985 \nL 158.967256 182.892401 \nL 164.062408 180.482514 \nL 170.379682 177.188073 \nL 174.058704 175.107685 \nL 178.112903 172.672846 \nL 182.556372 169.827455 \nL 187.393341 166.511379 \nL 192.613385 162.663127 \nL 198.185387 158.224409 \nL 204.050254 153.147236 \nL 210.112722 147.404112 \nL 216.23302 141.001661 \nL 222.219883 133.997245 \nL 227.827191 126.516985 \nL 232.757386 118.771608 \nL 236.675183 111.064471 \nL 239.234388 103.784365 \nL 240.11827 97.376159 \nL 239.089329 92.286412 \nL 236.038801 88.889701 \nL 231.021673 87.412207 \nL 224.263658 87.876803 \nL 216.13347 90.091269 \nL 207.086087 93.687216 \nL 197.593233 98.197311 \nL 188.080968 103.144241 \nL 162.317495 117.007467 \nL 155.141646 120.648717 \nL 148.731371 123.710323 \nL 143.054451 126.229772 \nL 138.057275 128.271898 \nL 133.676103 129.912016 \nL 126.497213 132.278997 \nL 118.779224 134.423661 \nL 109.827074 136.815 \nL 103.148985 138.723146 \nL 101.054679 138.980176 \nL 99.696536 138.953507 \nL 98.371756 138.748764 \nL 97.097867 138.356199 \nL 95.90289 137.774417 \nL 94.822452 137.012078 \nL 93.896397 136.089251 \nL 93.164827 135.038033 \nL 92.663768 133.902087 \nL 92.420785 132.734743 \nL 92.451104 131.595576 \nL 92.75487 130.545729 \nL 93.316049 129.64257 \nL 94.103213 128.93446 \nL 95.0721 128.456616 \nL 96.169501 128.228634 \nL 97.337789 128.254006 \nL 98.519343 128.521436 \nL 99.660291 129.007542 \nL 100.713235 129.680192 \nL 101.638827 130.501912 \nL 102.406344 131.432889 \nL 102.99346 132.433283 \nL 103.385557 133.464781 \nL 103.574797 134.491494 \nL 103.559201 135.480269 \nL 103.341886 136.400683 \nL 102.930555 137.224803 \nL 102.337286 137.926957 \nL 101.5786 138.483583 \nL 100.675768 138.873326 \nL 99.655245 139.077462 \nL 98.549117 139.080711 \nL 97.395333 138.872528 \nL 96.237535 138.448736 \nL 95.124252 137.813449 \nL 94.10723 136.981039 \nL 93.238792 135.97767 \nL 92.568289 134.842024 \nL 92.137917 133.624672 \nL 91.978421 132.38581 \nL 92.105348 131.191246 \nL 92.516645 130.107042 \nL 93.192108 129.193561 \nL 94.094917 128.499928 \nL 95.175038 128.059851 \nL 96.373905 127.889532 \nL 97.629519 127.987758 \nL 98.881227 128.337979 \nL 100.073545 128.911614 \nL 101.158735 129.67191 \nL 102.098112 130.577625 \nL 102.862306 131.586119 \nL 103.430735 132.655592 \nL 103.790662 133.746486 \nL 103.936104 134.822178 \nL 103.866809 135.849112 \nL 103.587478 136.796606 \nL 103.107284 137.63649 \nL 102.43975 138.342795 \nL 101.602922 138.891563 \nL 100.619801 139.260966 \nL 99.518922 139.431822 \nL 98.33489 139.388541 \nL 97.108671 139.120608 \nL 95.887407 138.624491 \nL 94.723463 137.905828 \nL 93.672467 136.981613 \nL 92.790288 135.881885 \nL 92.128954 134.650393 \nL 91.731956 133.343672 \nL 91.629492 132.028203 \nL 91.834553 130.775627 \nL 92.340583 129.656575 \nL 93.121384 128.734029 \nL 94.133347 128.057383 \nL 95.319653 127.65832 \nL 96.6157 127.549122 \nL 97.95475 127.723467 \nL 99.272965 128.159234 \nL 100.513235 128.822516 \nL 101.627537 129.671935 \nL 102.577922 130.662577 \nL 103.336418 131.749122 \nL 103.884192 132.887981 \nL 104.210348 134.0385 \nL 104.310676 135.163447 \nL 104.186543 136.228938 \nL 103.844106 137.204053 \nL 103.293878 138.060374 \nL 102.550695 138.771567 \nL 101.634027 139.313173 \nL 100.568547 139.662756 \nL 99.384853 139.800503 \nL 98.120118 139.710336 \nL 96.81846 139.38162 \nL 95.530729 138.811342 \nL 94.31339 138.006621 \nL 93.226288 136.987169 \nL 92.329132 135.787117 \nL 91.676863 134.455628 \nL 91.31437 133.055649 \nL 91.27125 131.660386 \nL 91.557684 130.347703 \nL 92.162242 129.193005 \nL 93.052297 128.261882 \nL 94.177038 127.603785 \nL 95.472565 127.24802 \nL 96.868095 127.202547 \nL 98.292145 127.45556 \nL 99.677807 127.979126 \nL 100.966519 128.733891 \nL 102.11016 129.673842 \nL 103.071687 130.75048 \nL 103.824646 131.915941 \nL 104.352004 133.124976 \nL 104.644709 134.335984 \nL 104.700274 135.511214 \nL 104.521599 136.616508 \nL 104.116176 137.620741 \nL 103.495733 138.495207 \nL 102.676294 139.213139 \nL 101.678633 139.749455 \nL 100.529004 140.080963 \nL 99.260027 140.187004 \nL 97.911478 140.050803 \nL 96.530743 139.661362 \nL 95.172591 139.016013 \nL 93.89789 138.123251 \nL 92.771058 137.005494 \nL 91.856032 135.701137 \nL 91.21101 134.265089 \nL 90.882482 132.767143 \nL 90.899491 131.287751 \nL 91.269264 129.911442 \nL 91.975192 128.718709 \nL 92.977823 127.777835 \nL 94.218764 127.138226 \nL 95.626717 126.826532 \nL 97.124532 126.846049 \nL 98.635937 127.179195 \nL 100.091014 127.791992 \nL 101.429859 128.639522 \nL 102.604393 129.671139 \nL 103.578582 130.834821 \nL 104.327559 132.080263 \nL 104.836122 133.360694 \nL 105.097029 134.633645 \nL 105.109443 135.860943 \nL 104.877685 137.008205 \nL 104.410454 138.044097 \nL 103.720529 138.939603 \nL 102.82496 139.667427 \nL 101.745666 140.201754 \nL 100.510355 140.518422 \nL 99.153578 140.595716 \nL 97.7177 140.41586 \nL 96.253446 139.967219 \nL 94.819688 139.247168 \nL 93.482025 138.265337 \nL 92.309869 137.046773 \nL 91.371865 135.634189 \nL 90.729929 134.088506 \nL 90.432542 132.486821 \nL 90.508397 130.917383 \nL 90.961763 129.471959 \nL 91.770658 128.236585 \nL 92.888479 127.282504 \nL 94.248861 126.659105 \nL 95.772778 126.390242 \nL 97.376468 126.474327 \nL 98.978736 126.887721 \nL 100.506614 127.590217 \nL 101.898897 128.531208 \nL 103.10759 129.655383 \nL 104.097721 130.907232 \nL 104.846031 132.234076 \nL 105.339125 133.587694 \nL 105.571526 134.924838 \nL 105.543949 136.206959 \nL 105.26201 137.399472 \nL 104.735455 138.470855 \nL 103.977936 139.391728 \nL 103.007321 140.134209 \nL 101.846473 140.671586 \nL 100.524352 140.978534 \nL 99.077282 141.032009 \nL 97.550117 140.812896 \nL 95.996943 140.308498 \nL 94.480896 139.515824 \nL 93.072614 138.445265 \nL 91.846981 137.124209 \nL 90.877963 135.599625 \nL 90.231854 133.938621 \nL 89.959725 132.226023 \nL 90.090368 130.558534 \nL 90.625307 129.035878 \nL 91.036917 128.358269 \nL 91.53714 127.750296 \nL 92.118413 127.220671 \nL 93.487552 126.423132 \nL 95.062295 126.001183 \nL 96.752623 125.961709 \nL 98.469106 126.285759 \nL 100.129893 126.934196 \nL 101.665313 127.854637 \nL 103.020079 128.988141 \nL 104.153409 130.274688 \nL 105.037751 131.656966 \nL 105.656728 133.08254 \nL 106.002887 134.50462 \nL 106.075622 135.881869 \nL 105.879538 137.177603 \nL 105.423381 138.358721 \nL 104.719594 139.394596 \nL 103.784468 140.256152 \nL 102.638846 140.915259 \nL 101.309275 141.344639 \nL 99.82945 141.51842 \nL 98.241709 141.41352 \nL 96.598244 141.011967 \nL 94.961568 140.304143 \nL 93.403727 139.292803 \nL 92.00374 137.997375 \nL 90.842926 136.457675 \nL 89.998131 134.735924 \nL 89.533488 132.915839 \nL 89.491997 131.097899 \nL 89.635832 130.223674 \nL 89.888613 129.390775 \nL 90.247227 128.612209 \nL 90.706581 127.900011 \nL 91.25975 127.264927 \nL 91.898163 126.716095 \nL 92.611865 126.260843 \nL 93.389806 125.904522 \nL 95.090657 125.499952 \nL 96.902548 125.505444 \nL 98.729444 125.896229 \nL 100.484893 126.626557 \nL 102.096657 127.637612 \nL 103.508604 128.864933 \nL 104.680404 130.2442 \nL 105.585751 131.715081 \nL 106.209893 133.223216 \nL 106.547037 134.720746 \nL 106.598065 136.165821 \nL 106.368756 137.521546 \nL 105.868704 138.75467 \nL 105.110889 139.834302 \nL 104.11193 140.730825 \nL 102.892945 141.415192 \nL 101.480909 141.858768 \nL 99.910334 142.033888 \nL 98.225057 141.915325 \nL 96.47972 141.482821 \nL 94.740484 140.724699 \nL 93.084345 139.642404 \nL 91.596459 138.25542 \nL 90.365018 136.605689 \nL 89.473732 134.760065 \nL 88.992535 132.809485 \nL 88.921425 131.828646 \nL 88.968016 130.863728 \nL 89.133196 129.929797 \nL 89.415614 129.041689 \nL 89.811661 128.213558 \nL 90.315555 127.45846 \nL 90.919501 126.787959 \nL 91.613909 126.211804 \nL 92.387715 125.737679 \nL 93.228696 125.371052 \nL 94.123847 125.115128 \nL 95.059742 124.970878 \nL 97.000027 125.010972 \nL 98.946194 125.460873 \nL 100.806522 126.268051 \nL 102.505654 127.367007 \nL 103.986208 128.687433 \nL 105.208008 130.160427 \nL 106.145801 131.722401 \nL 106.786325 133.316905 \nL 107.125352 134.894894 \nL 107.165146 136.413967 \nL 106.912557 137.837004 \nL 106.377857 139.13064 \nL 105.574342 140.263742 \nL 104.518664 141.206181 \nL 103.231828 141.927968 \nL 101.740754 142.399002 \nL 100.08023 142.589566 \nL 98.295017 142.47186 \nL 96.44169 142.022668 \nL 94.589675 141.227333 \nL 92.820814 140.084828 \nL 91.226692 138.613452 \nL 89.903192 136.856018 \nL 88.9422 134.883104 \nL 88.622721 133.845456 \nL 88.421178 132.792517 \nL 88.343198 131.739845 \nL 88.392224 130.703716 \nL 88.569318 129.700661 \nL 88.873049 128.746975 \nL 89.299475 127.858217 \nL 89.842234 127.048706 \nL 90.492719 126.331094 \nL 91.240357 125.715982 \nL 92.072948 125.211651 \nL 92.977043 124.823891 \nL 93.938375 124.555957 \nL 94.942258 124.408621 \nL 95.973992 124.380323 \nL 98.064213 124.664433 \nL 100.103289 125.359402 \nL 102.002146 126.397985 \nL 103.69146 127.704584 \nL 105.121603 129.203222 \nL 106.260476 130.822932 \nL 107.090274 132.500567 \nL 107.604016 134.181554 \nL 107.802411 135.819319 \nL 107.691364 137.373865 \nL 107.280303 138.810004 \nL 106.581337 140.095564 \nL 105.609254 141.199786 \nL 104.382273 142.092037 \nL 102.923501 142.741087 \nL 101.262941 143.115058 \nL 99.439896 143.182327 \nL 97.505382 142.913602 \nL 95.524114 142.285435 \nL 93.575351 141.285195 \nL 91.751761 139.91721 \nL 90.155466 138.20935 \nL 89.475326 137.244521 \nL 88.890751 136.21854 \nL 88.41339 135.143482 \nL 88.053602 134.033278 \nL 87.820045 132.90352 \nL 87.719313 131.771109 \nL 87.755602 130.653841 \nL 87.930484 129.569899 \nL 88.242754 128.537302 \nL 88.688396 127.573312 \nL 89.260674 126.693874 \nL 89.950326 125.913095 \nL 90.745867 125.242809 \nL 91.633978 124.692246 \nL 92.599948 124.267851 \nL 93.628143 123.973209 \nL 94.702484 123.809119 \nL 95.806897 123.773773 \nL 96.925717 123.863028 \nL 98.044032 124.070742 \nL 100.224811 124.809294 \nL 102.253546 125.914819 \nL 104.056772 127.304297 \nL 105.582878 128.895268 \nL 106.799419 130.611656 \nL 107.689293 132.386677 \nL 108.246741 134.163444 \nL 108.473793 135.894092 \nL 108.377475 137.538053 \nL 107.967927 139.059991 \nL 107.257466 140.427726 \nL 106.260533 141.610378 \nL 104.994509 142.576866 \nL 103.481276 143.294932 \nL 101.74945 143.730893 \nL 99.837091 143.850342 \nL 97.794577 143.620132 \nL 95.687165 143.011932 \nL 93.596463 142.007466 \nL 91.619908 140.605368 \nL 90.708407 139.761284 \nL 89.867181 138.828798 \nL 89.110638 137.815788 \nL 88.452809 136.732381 \nL 87.906916 135.590982 \nL 87.484908 134.406171 \nL 87.196999 133.19451 \nL 87.051223 131.974198 \nL 87.053043 130.764623 \nL 87.205036 129.585804 \nL 87.506701 128.457767 \nL 87.954381 127.399876 \nL 88.541321 126.430157 \nL 89.257881 125.564694 \nL 90.091849 124.817091 \nL 91.028874 124.19807 \nL 92.05297 123.715228 \nL 93.147054 123.37294 \nL 94.293486 123.17241 \nL 95.474608 123.111881 \nL 96.673193 123.186934 \nL 97.872852 123.390884 \nL 99.058349 123.715206 \nL 101.332975 124.68441 \nL 103.404936 126.006318 \nL 105.207273 127.589206 \nL 106.696125 129.346285 \nL 107.846722 131.200503 \nL 108.648735 133.086263 \nL 109.101861 134.948978 \nL 109.212156 136.743411 \nL 108.989354 138.431385 \nL 108.445227 139.979375 \nL 107.592955 141.35621 \nL 106.447451 142.531094 \nL 105.026572 143.472072 \nL 103.353152 144.145078 \nL 101.457712 144.51382 \nL 99.381691 144.540798 \nL 97.180796 144.189779 \nL 94.927899 143.430157 \nL 92.714563 142.243354 \nL 91.656272 141.489223 \nL 90.650005 140.630966 \nL 89.711397 139.673405 \nL 88.856333 138.623703 \nL 88.100553 137.491519 \nL 87.459182 136.289107 \nL 86.946206 135.031271 \nL 86.573936 133.735218 \nL 86.352483 132.420229 \nL 86.289262 131.107229 \nL 86.388589 129.818178 \nL 86.651383 128.575379 \nL 87.075022 127.40073 \nL 87.653344 126.31491 \nL 88.376826 125.336668 \nL 89.232903 124.482127 \nL 90.206428 123.764291 \nL 91.28023 123.192678 \nL 92.435733 122.77316 \nL 93.653587 122.507973 \nL 94.914278 122.395924 \nL 96.198688 122.432715 \nL 97.488573 122.611379 \nL 98.766948 122.922782 \nL 100.018357 123.356155 \nL 102.387132 124.540562 \nL 104.50663 126.064042 \nL 106.316293 127.827328 \nL 107.77957 129.740212 \nL 108.878737 131.725204 \nL 109.609519 133.718118 \nL 109.976351 135.666702 \nL 109.988641 137.528232 \nL 109.658208 139.266767 \nL 108.997866 140.85042 \nL 108.021069 142.248857 \nL 106.742583 143.4312 \nL 105.180069 144.364416 \nL 103.356549 145.012337 \nL 101.303637 145.335616 \nL 99.06532 145.292953 \nL 96.701881 144.844027 \nL 94.293273 143.954661 \nL 93.102876 143.337614 \nL 91.940844 142.604342 \nL 90.822972 141.756012 \nL 89.765986 140.795909 \nL 88.787233 139.729763 \nL 87.904278 138.566014 \nL 87.134415 137.315997 \nL 86.49411 135.994 \nL 85.998387 134.61722 \nL 85.660198 133.205503 \nL 85.489815 131.780965 \nL 85.494291 130.36738 \nL 85.677023 128.989467 \nL 86.037472 127.67202 \nL 86.571056 126.439015 \nL 87.269239 125.31268 \nL 88.119816 124.312679 \nL 89.107371 123.455388 \nL 90.213867 122.753389 \nL 91.419345 122.215148 \nL 92.70265 121.844957 \nL 94.042163 121.643063 \nL 95.416482 121.605993 \nL 96.805018 121.727032 \nL 98.188471 121.996785 \nL 99.549206 122.40379 \nL 100.871484 122.935127 \nL 102.141613 123.576999 \nL 104.480908 125.135747 \nL 106.497558 126.969448 \nL 108.149786 128.977507 \nL 109.417614 131.07403 \nL 110.296569 133.188712 \nL 110.792054 135.265308 \nL 110.914902 137.258916 \nL 110.678216 139.132794 \nL 110.09551 140.855217 \nL 109.180035 142.396614 \nL 107.945192 143.727066 \nL 106.405954 144.814289 \nL 104.581266 145.622183 \nL 102.497339 146.110198 \nL 100.191754 146.233845 \nL 97.718036 145.946871 \nL 96.440333 145.635505 \nL 95.150132 145.205709 \nL 93.860426 144.653636 \nL 92.585771 143.97667 \nL 91.34222 143.173794 \nL 90.147179 142.246003 \nL 89.019152 141.196694 \nL 87.977387 140.032048 \nL 87.041405 138.761353 \nL 86.23043 137.397225 \nL 85.562734 135.955687 \nL 85.054912 134.456109 \nL 84.721154 132.920909 \nL 84.572522 131.375058 \nL 84.616332 129.845378 \nL 84.855669 128.359652 \nL 85.289085 126.945604 \nL 85.910512 125.629811 \nL 86.709418 124.436653 \nL 87.671198 123.387332 \nL 88.777751 122.499096 \nL 90.008221 121.784693 \nL 91.339818 121.252095 \nL 92.748709 120.904482 \nL 94.210831 120.740496 \nL 95.702668 120.754704 \nL 97.201896 120.938206 \nL 98.687885 121.27933 \nL 100.142057 121.764365 \nL 101.548113 122.378284 \nL 102.892122 123.105377 \nL 104.162493 123.929805 \nL 106.447029 125.80933 \nL 108.350672 127.902374 \nL 109.848564 130.1111 \nL 110.934625 132.356034 \nL 111.614766 134.574637 \nL 111.901407 136.718243 \nL 111.809491 138.748405 \nL 111.35397 140.63326 \nL 110.548601 142.344202 \nL 109.405954 143.852942 \nL 107.938501 145.129027 \nL 106.160747 146.137875 \nL 104.092398 146.83944 \nL 101.762507 147.18786 \nL 99.214492 147.1325 \nL 97.877522 146.937008 \nL 96.511572 146.621161 \nL 95.128477 146.17918 \nL 93.741871 145.606133 \nL 92.367205 144.898313 \nL 91.021722 144.053679 \nL 89.724309 143.07232 \nL 88.495249 141.95694 \nL 87.355843 140.713323 \nL 86.327899 139.350749 \nL 85.433085 137.882295 \nL 84.692186 136.325007 \nL 84.124248 134.699851 \nL 83.745719 133.031427 \nL 83.569593 131.34745 \nL 83.604639 129.677926 \nL 83.854819 128.054142 \nL 84.318883 126.507451 \nL 84.990273 125.067982 \nL 85.857274 123.763381 \nL 86.903477 122.617626 \nL 88.108461 121.650116 \nL 89.44868 120.87501 \nL 90.898449 120.300903 \nL 92.430976 119.930853 \nL 94.019342 119.762694 \nL 95.637399 119.789635 \nL 97.260486 120.000983 \nL 98.866014 120.383013 \nL 100.433839 120.919838 \nL 101.946493 121.594244 \nL 103.389242 122.388436 \nL 104.750034 123.28467 \nL 106.019352 124.265754 \nL 108.256819 126.41861 \nL 110.067067 128.731849 \nL 111.439556 131.111913 \nL 112.379448 133.485993 \nL 112.900661 135.798763 \nL 113.020663 138.008207 \nL 112.756955 140.081351 \nL 112.125109 141.990353 \nL 111.138132 143.709039 \nL 109.807005 145.209938 \nL 108.142337 146.461744 \nL 106.157094 147.427294 \nL 103.870467 148.062259 \nL 101.312876 148.314854 \nL 99.946497 148.279859 \nL 98.531932 148.127316 \nL 97.078885 147.84973 \nL 95.59893 147.43991 \nL 94.105665 146.891323 \nL 92.6148 146.1985 \nL 91.14418 145.357497 \nL 89.713712 144.366446 \nL 88.345164 143.226119 \nL 87.061814 141.940527 \nL 85.887946 140.517457 \nL 84.848184 138.968941 \nL 83.966665 137.311567 \nL 83.266083 135.566594 \nL 82.766668 133.759776 \nL 82.485129 131.920886 \nL 82.433684 130.082917 \nL 82.619241 128.280958 \nL 83.042812 126.550825 \nL 83.699242 124.92755 \nL 84.577282 123.443794 \nL 85.660007 122.128398 \nL 86.925561 121.005155 \nL 88.348158 120.091885 \nL 89.899245 119.399949 \nL 91.548722 118.934185 \nL 93.266152 118.693214 \nL 95.02184 118.670058 \nL 96.787743 118.853074 \nL 98.538174 119.226935 \nL 100.250281 119.773699 \nL 101.904315 120.473832 \nL 103.483726 121.307115 \nL 104.975086 122.253411 \nL 106.367908 123.293277 \nL 107.654388 124.408397 \nL 108.829093 125.581887 \nL 110.831292 128.044468 \nL 112.365805 130.57836 \nL 113.441402 133.105394 \nL 114.076202 135.567827 \nL 114.291652 137.923362 \nL 114.108456 140.140182 \nL 113.544245 142.192532 \nL 112.612678 144.056848 \nL 111.323772 145.708459 \nL 109.68536 147.118718 \nL 107.705672 148.252555 \nL 105.397095 149.066578 \nL 104.125705 149.33752 \nL 102.781255 149.507951 \nL 101.368938 149.569852 \nL 99.895386 149.51477 \nL 98.36892 149.333985 \nL 96.799794 149.018728 \nL 95.200429 148.560487 \nL 93.585597 147.951397 \nL 91.972563 147.184704 \nL 90.381128 146.255344 \nL 88.83355 145.160581 \nL 87.354338 143.900717 \nL 85.969838 142.479796 \nL 84.707639 140.906299 \nL 83.59578 139.193723 \nL 82.661742 137.360971 \nL 81.931294 135.432501 \nL 81.427235 133.438102 \nL 81.168138 131.412295 \nL 81.167166 129.393322 \nL 81.431112 127.421725 \nL 81.959752 125.538646 \nL 82.745591 123.783932 \nL 83.774037 122.194228 \nL 85.024048 120.801235 \nL 86.469105 119.630302 \nL 88.078522 118.699452 \nL 89.818895 118.018967 \nL 91.655594 117.591442 \nL 93.554176 117.41238 \nL 95.481612 117.471107 \nL 97.407278 117.751954 \nL 99.303656 118.235545 \nL 101.146786 118.900077 \nL 102.916456 119.722521 \nL 104.596186 120.679631 \nL 106.173059 121.748761 \nL 107.637425 122.908488 \nL 108.982539 124.139031 \nL 110.204163 125.422485 \nL 111.300159 126.742939 \nL 113.114869 129.441004 \nL 114.437285 132.143607 \nL 115.289706 134.786251 \nL 115.698639 137.323586 \nL 115.689694 139.723509 \nL 115.284513 141.961982 \nL 114.499306 144.018592 \nL 113.344727 145.872859 \nL 111.82687 147.500963 \nL 109.94938 148.872909 \nL 108.877018 149.451126 \nL 107.716713 149.949978 \nL 106.469906 150.362926 \nL 105.138746 150.682677 \nL 103.726327 150.901163 \nL 102.236942 151.009589 \nL 100.676359 150.998505 \nL 99.052124 150.857931 \nL 97.373864 150.577565 \nL 95.653584 150.147074 \nL 93.905939 149.556489 \nL 92.148464 148.796697 \nL 90.401712 147.86007 \nL 88.689268 146.741205 \nL 87.037613 145.437732 \nL 85.47578 143.951224 \nL 84.034776 142.288074 \nL 82.746739 140.460318 \nL 81.643843 138.486289 \nL 80.756961 136.390972 \nL 80.114172 134.205984 \nL 79.739178 131.969065 \nL 79.649792 129.723046 \nL 79.856624 127.514285 \nL 80.362129 125.390668 \nL 81.160117 123.399301 \nL 82.235821 121.58411 \nL 83.566531 119.9836 \nL 85.122734 118.628943 \nL 86.869654 117.542678 \nL 88.769038 116.738029 \nL 90.781 116.218928 \nL 92.865775 115.980647 \nL 94.985258 116.010947 \nL 97.10423 116.291549 \nL 99.191222 116.799723 \nL 101.219045 117.509918 \nL 103.165017 118.395234 \nL 105.010893 119.428652 \nL 106.742643 120.584053 \nL 108.350064 121.83693 \nL 109.826321 123.164866 \nL 111.167454 124.547793 \nL 112.371878 125.968092 \nL 113.439912 127.410534 \nL 115.174995 130.312074 \nL 116.397838 133.172171 \nL 117.141071 135.936283 \nL 117.437756 138.568269 \nL 117.316887 141.043914 \nL 116.800907 143.345599 \nL 115.904769 145.457897 \nL 114.636203 147.363908 \nL 112.997029 149.042045 \nL 112.037971 149.78689 \nL 110.985501 150.463029 \nL 109.839423 151.065144 \nL 108.599835 151.587094 \nL 107.267333 152.021852 \nL 105.843229 152.361455 \nL 104.329817 152.596981 \nL 102.730669 152.718544 \nL 101.05096 152.715354 \nL 99.297824 152.575843 \nL 97.480729 152.287845 \nL 95.611858 151.838914 \nL 93.706466 151.21673 \nL 91.783206 150.409679 \nL 89.864358 149.407539 \nL 87.975922 148.202381 \nL 86.147539 146.789551 \nL 84.41216 145.168804 \nL 82.805417 143.345441 \nL 81.36468 141.331405 \nL 80.12774 139.146199 \nL 79.131206 136.817446 \nL 78.408637 134.380999 \nL 77.988556 131.880417 \nL 77.892511 129.365744 \nL 78.133388 126.891587 \nL 78.714169 124.51459 \nL 79.627315 122.290501 \nL 80.854869 120.271093 \nL 82.369297 118.501316 \nL 84.134999 117.016917 \nL 86.110316 115.842837 \nL 88.249807 114.992495 \nL 90.506599 114.467981 \nL 92.834534 114.261041 \nL 95.190005 114.35466 \nL 97.533362 114.725038 \nL 99.829843 115.343676 \nL 102.05007 116.179378 \nL 104.170156 117.200025 \nL 106.171516 118.374036 \nL 108.04046 119.671477 \nL 109.767653 121.064801 \nL 111.3475 122.529298 \nL 112.777521 124.043283 \nL 114.057744 125.588091 \nL 115.190143 127.147939 \nL 116.178133 128.709683 \nL 117.739203 131.797852 \nL 118.78208 134.789409 \nL 119.349357 137.644993 \nL 119.479226 140.341008 \nL 119.202109 142.863182 \nL 118.539103 145.201476 \nL 117.501728 147.346061 \nL 116.092664 149.283895 \nL 114.307375 150.995608 \nL 113.270864 151.758132 \nL 112.13667 152.452433 \nL 110.903535 153.072933 \nL 109.570462 153.613068 \nL 108.136932 154.065199 \nL 106.60316 154.420539 \nL 104.970389 154.66908 \nL 103.241227 154.799584 \nL 101.420035 154.799584 \nL 99.513364 154.655494 \nL 97.530406 154.352787 \nL 95.483493 153.876294 \nL 93.388579 153.210658 \nL 91.265677 152.34097 \nL 89.139234 151.253595 \nL 87.038336 149.937225 \nL 84.996714 148.384124 \nL 83.052434 146.591561 \nL 81.247232 144.563323 \nL 79.625397 142.311194 \nL 78.232193 139.856261 \nL 77.111833 137.229795 \nL 76.305099 134.473527 \nL 75.846748 131.639102 \nL 75.76298 128.786562 \nL 76.069212 125.981885 \nL 76.768452 123.293659 \nL 77.850538 120.789192 \nL 79.292352 118.530466 \nL 81.059049 116.570388 \nL 83.106159 114.949824 \nL 85.382324 113.695636 \nL 87.83232 112.820077 \nL 90.40007 112.321314 \nL 93.031342 112.185051 \nL 95.675924 112.386842 \nL 98.289182 112.894805 \nL 100.832989 113.672348 \nL 103.276088 114.680727 \nL 105.594 115.881175 \nL 107.768579 117.236548 \nL 109.787358 118.712494 \nL 111.642776 120.278171 \nL 113.331362 121.906581 \nL 114.852945 123.574609 \nL 116.209916 125.262872 \nL 117.406575 126.955423 \nL 118.448557 128.63937 \nL 119.342351 130.304501 \nL 120.713272 133.548411 \nL 121.574946 136.644323 \nL 121.978134 139.569704 \nL 121.964458 142.314354 \nL 121.56431 144.874441 \nL 120.796222 147.248071 \nL 119.667216 149.431837 \nL 118.173833 151.417795 \nL 116.303806 153.190609 \nL 115.221884 153.989506 \nL 114.038484 154.724415 \nL 112.750856 155.389883 \nL 111.356382 155.979343 \nL 109.852787 156.484978 \nL 108.2384 156.897597 \nL 106.512459 157.206524 \nL 104.675482 157.399489 \nL 102.729701 157.462599 \nL 100.67956 157.380317 \nL 98.532272 157.135583 \nL 96.298446 156.710027 \nL 93.99273 156.084347 \nL 91.634473 155.238929 \nL 89.248327 154.154687 \nL 86.864729 152.814224 \nL 84.520183 151.203279 \nL 82.257201 149.312508 \nL 80.123827 147.139459 \nL 78.172588 144.69071 \nL 76.458804 141.983884 \nL 75.038238 139.049309 \nL 73.964125 135.931016 \nL 73.283774 132.686695 \nL 73.035016 129.386375 \nL 73.242894 126.109669 \nL 73.917062 122.941672 \nL 75.050255 119.967817 \nL 76.618131 117.268291 \nL 78.580595 114.912609 \nL 80.884439 112.955161 \nL 83.466964 111.432226 \nL 86.260113 110.36077 \nL 89.194613 109.739092 \nL 92.203656 109.548969 \nL 95.225869 109.758897 \nL 98.20734 110.327859 \nL 101.102779 111.209155 \nL 103.875855 112.353828 \nL 106.498941 113.713528 \nL 108.95239 115.242615 \nL 111.223574 116.8996 \nL 113.305794 118.647903 \nL 115.197187 120.456147 \nL 116.899685 122.298068 \nL 118.418088 124.152176 \nL 119.75925 126.001265 \nL 120.931396 127.831879 \nL 121.943553 129.633733 \nL 123.525398 133.122841 \nL 124.578054 136.431103 \nL 125.167257 139.543508 \nL 125.346907 142.458285 \nL 125.157193 145.180503 \nL 124.624179 147.717669 \nL 123.760243 150.076567 \nL 122.564955 152.260796 \nL 121.026222 154.268513 \nL 119.121707 156.090003 \nL 116.820718 157.704743 \nL 115.510319 158.424316 \nL 114.086964 159.077682 \nL 112.545944 159.657418 \nL 110.882871 160.154561 \nL 109.093961 160.558403 \nL 107.176395 160.856314 \nL 105.12877 161.033557 \nL 102.951621 161.073159 \nL 100.648071 160.95582 \nL 98.224567 160.659959 \nL 95.69172 160.161894 \nL 93.065224 159.436232 \nL 90.366815 158.456574 \nL 87.625204 157.196572 \nL 84.876875 155.631423 \nL 82.166632 153.739869 \nL 79.547697 151.506677 \nL 77.081189 148.925559 \nL 74.834755 146.002331 \nL 72.880244 142.758006 \nL 71.290307 139.231419 \nL 70.134023 135.480758 \nL 69.471873 131.5835 \nL 69.350496 127.634268 \nL 69.797942 123.740393 \nL 70.820148 120.015378 \nL 72.399265 116.570893 \nL 74.494241 113.50831 \nL 77.04368 110.911042 \nL 79.970549 108.838716 \nL 83.188078 107.324082 \nL 86.605974 106.372863 \nL 90.136154 105.966264 \nL 93.69739 106.065457 \nL 97.218563 106.617204 \nL 100.640477 107.559617 \nL 103.916404 108.827452 \nL 107.01163 110.356422 \nL 109.902366 112.086377 \nL 112.574253 113.963307 \nL 115.020753 115.940413 \nL 117.241563 117.978343 \nL 119.241156 120.044925 \nL 121.0275 122.114548 \nL 122.610987 124.167354 \nL 124.003538 126.188387 \nL 125.217899 128.16676 \nL 127.163955 131.967807 \nL 128.549603 135.538045 \nL 129.46469 138.871026 \nL 129.984121 141.974894 \nL 130.166394 144.865101 \nL 130.053768 147.559902 \nL 129.673226 150.077588 \nL 129.037701 152.434799 \nL 128.147253 154.64535 \nL 126.990037 156.71925 \nL 125.543016 158.661574 \nL 123.772504 160.470953 \nL 121.634725 162.13735 \nL 119.076708 163.638792 \nL 116.038106 164.936651 \nL 114.318559 165.491048 \nL 112.454874 165.96911 \nL 110.439591 166.358077 \nL 108.266151 166.642551 \nL 105.92944 166.804154 \nL 103.426477 166.821197 \nL 100.757284 166.668387 \nL 97.925928 166.316668 \nL 94.941783 165.733226 \nL 91.820955 164.881802 \nL 88.587875 163.723413 \nL 85.27694 162.217686 \nL 81.934063 160.3249 \nL 78.617918 158.008933 \nL 75.40056 155.241196 \nL 72.367031 152.005483 \nL 69.61355 148.303475 \nL 67.243927 144.160395 \nL 65.363968 139.629917 \nL 64.074043 134.797222 \nL 63.46031 129.778993 \nL 63.585638 124.719358 \nL 64.481698 119.781375 \nL 66.143649 115.134606 \nL 68.528718 110.940362 \nL 71.559164 107.336941 \nL 75.129254 104.427436 \nL 79.115055 102.272211 \nL 83.385295 100.887069 \nL 87.811578 100.246828 \nL 92.276604 100.29305 \nL 96.679685 100.944015 \nL 100.939517 102.105048 \nL 104.994611 103.67775 \nL 108.801997 105.567266 \nL 112.334919 107.687221 \nL 115.580073 109.962515 \nL 118.534796 112.330408 \nL 121.204482 114.740301 \nL 123.600352 117.152715 \nL 125.737598 119.537873 \nL 127.633912 121.874114 \nL 129.308341 124.146377 \nL 132.069528 128.463521 \nL 134.173033 132.45276 \nL 135.756915 136.114442 \nL 136.939937 139.467573 \nL 137.820431 142.539076 \nL 138.742421 146.681223 \nL 139.519018 151.474575 \nL 141.053214 162.256035 \nL 141.560915 164.301848 \nL 142.213869 166.120494 \nL 143.071536 167.710807 \nL 143.794157 168.638233 \nL 144.670307 169.450922 \nL 145.735088 170.137113 \nL 147.031333 170.679707 \nL 148.611225 171.054474 \nL 150.53805 171.22755 \nL 152.887905 171.152001 \nL 155.751041 170.763201 \nL 159.232114 169.972808 \nL 163.448039 168.661414 \nL 168.521115 166.670591 \nL 171.415234 165.358582 \nL 174.563546 163.796701 \nL 177.973597 161.952573 \nL 181.647375 159.792006 \nL 185.579022 157.280282 \nL 189.75201 154.384225 \nL 194.135817 151.075213 \nL 198.682198 147.333402 \nL 203.321317 143.153241 \nL 207.95818 138.550254 \nL 212.47009 133.568667 \nL 216.706122 128.289086 \nL 220.4898 122.83467 \nL 223.626257 117.373712 \nL 225.914707 112.116109 \nL 227.166328 107.301445 \nL 227.226124 103.177668 \nL 225.9957 99.971794 \nL 223.452262 97.857201 \nL 219.658834 96.924781 \nL 214.761972 97.165988 \nL 208.976189 98.47331 \nL 202.558142 100.658953 \nL 195.776437 103.486606 \nL 188.88368 106.707805 \nL 175.581185 113.458063 \nL 153.980857 124.706053 \nL 137.369092 133.216036 \nL 133.122581 135.625888 \nL 129.781493 137.782588 \nL 127.085236 139.800423 \nL 123.788157 142.684536 \nL 118.990971 147.163882 \nL 116.987227 148.785206 \nL 114.812321 150.258627 \nL 112.405935 151.539644 \nL 109.721765 152.574423 \nL 106.729074 153.297559 \nL 105.112661 153.51811 \nL 103.416897 153.629931 \nL 101.644667 153.620841 \nL 99.801133 153.477841 \nL 97.894105 153.187283 \nL 95.934423 152.735148 \nL 93.936339 152.107454 \nL 91.917859 151.290822 \nL 89.901016 150.273198 \nL 87.912014 149.044771 \nL 85.981174 147.599046 \nL 84.142642 145.934043 \nL 82.433759 144.053598 \nL 80.894097 141.968592 \nL 79.564082 139.698029 \nL 78.483257 137.269781 \nL 77.688244 134.720802 \nL 77.210555 132.096685 \nL 77.074395 129.450435 \nL 77.294738 126.84042 \nL 77.875872 124.327643 \nL 78.810627 121.972475 \nL 80.080409 119.831246 \nL 81.656096 117.952988 \nL 83.499667 116.376759 \nL 85.566425 115.12981 \nL 87.807527 114.226719 \nL 90.17259 113.669631 \nL 92.612088 113.449338 \nL 95.079373 113.547086 \nL 97.532201 113.936784 \nL 99.933747 114.587318 \nL 102.2531 115.464802 \nL 104.465348 116.534535 \nL 106.551341 117.762595 \nL 108.497199 119.117004 \nL 110.293699 120.568526 \nL 111.935593 122.091107 \nL 113.420911 123.662056 \nL 114.750298 125.261985 \nL 115.926407 126.874647 \nL 116.95336 128.486638 \nL 117.836279 130.087085 \nL 119.193215 133.220509 \nL 120.044934 136.225984 \nL 120.436506 139.075041 \nL 120.405745 141.751994 \nL 119.980804 144.248015 \nL 119.179335 146.556563 \nL 118.008711 148.66972 \nL 116.467115 150.575014 \nL 114.545406 152.252381 \nL 113.437814 152.996482 \nL 112.229916 153.671038 \nL 110.919966 154.269967 \nL 109.506541 154.786102 \nL 107.988776 155.211069 \nL 106.366644 155.535205 \nL 104.641287 155.747488 \nL 102.815395 155.835513 \nL 100.893641 155.785506 \nL 98.883165 155.582454 \nL 96.794101 155.210287 \nL 94.640122 154.652255 \nL 92.438977 153.891452 \nL 90.213003 152.911564 \nL 87.98949 151.697828 \nL 85.80091 150.238272 \nL 83.684853 148.525176 \nL 81.683613 146.556716 \nL 79.84332 144.338695 \nL 78.212571 141.886216 \nL 76.840499 139.225057 \nL 75.774361 136.392525 \nL 75.056761 133.437533 \nL 74.722699 130.419659 \nL 74.796776 127.40707 \nL 75.290893 124.473348 \nL 76.202733 121.693458 \nL 77.515326 119.139161 \nL 79.197779 116.874497 \nL 81.207119 114.951815 \nL 83.491034 113.408896 \nL 85.99118 112.267385 \nL 88.64665 111.532744 \nL 91.397226 111.195521 \nL 94.186147 111.233649 \nL 96.962185 111.615368 \nL 99.680997 112.302408 \nL 102.305779 113.252963 \nL 104.807336 114.42437 \nL 107.163711 115.775166 \nL 109.359518 117.266657 \nL 111.385087 118.863862 \nL 113.235558 120.536036 \nL 114.909973 122.256813 \nL 116.410432 124.004063 \nL 117.741332 125.759604 \nL 118.9087 127.508786 \nL 119.919633 129.24004 \nL 121.503247 132.615198 \nL 122.554824 135.837617 \nL 123.132612 138.883438 \nL 123.285443 141.743314 \nL 123.050233 144.415788 \nL 122.451125 146.9025 \nL 121.499651 149.204618 \nL 120.195551 151.319929 \nL 118.528081 153.240165 \nL 116.477861 154.948155 \nL 115.301423 155.713968 \nL 114.019497 156.414567 \nL 112.628603 157.043743 \nL 111.125474 157.594011 \nL 109.507298 158.056457 \nL 107.77201 158.420594 \nL 105.918655 158.674219 \nL 103.947816 158.803315 \nL 101.862121 158.791991 \nL 99.666823 158.622499 \nL 97.370466 158.275368 \nL 94.985607 157.729698 \nL 92.529574 156.963649 \nL 90.025208 155.955208 \nL 87.501548 154.683282 \nL 84.994325 153.129133 \nL 82.546179 151.278182 \nL 80.20645 149.122205 \nL 78.03039 146.661705 \nL 76.077682 143.908411 \nL 74.410157 140.887516 \nL 73.088743 137.639339 \nL 72.169743 134.22002 \nL 71.700757 130.700789 \nL 71.716636 127.165622 \nL 72.235997 123.707165 \nL 73.258834 120.421234 \nL 74.765625 117.400382 \nL 76.718206 114.727374 \nL 79.062291 112.469452 \nL 81.731346 110.674127 \nL 84.651274 109.367046 \nL 87.745301 108.552092 \nL 90.938438 108.213416 \nL 94.16118 108.318964 \nL 97.3521 108.824813 \nL 100.459394 109.679653 \nL 103.441437 110.82896 \nL 106.266544 112.218472 \nL 108.912205 113.796794 \nL 111.36397 115.517143 \nL 113.614199 117.338352 \nL 115.660788 119.225228 \nL 117.505969 121.148455 \nL 119.155233 123.084194 \nL 120.616397 125.013527 \nL 121.89883 126.9218 \nL 123.012804 128.79796 \nL 124.778043 132.424126 \nL 125.995631 135.853796 \nL 126.74093 139.07361 \nL 127.076533 142.084761 \nL 127.050319 144.896026 \nL 126.695123 147.519184 \nL 126.029251 149.965929 \nL 125.057381 152.245651 \nL 123.771607 154.363591 \nL 122.152509 156.318948 \nL 120.170362 158.102641 \nL 117.786734 159.694356 \nL 114.956913 161.058557 \nL 113.359939 161.638816 \nL 111.63396 162.139266 \nL 109.773861 162.548644 \nL 107.775453 162.853535 \nL 105.635931 163.038145 \nL 103.354464 163.084098 \nL 100.932892 162.970283 \nL 98.37656 162.672819 \nL 95.695284 162.165174 \nL 92.904421 161.41852 \nL 90.026033 160.40241 \nL 87.090039 159.085893 \nL 84.13526 157.439145 \nL 81.210209 155.435733 \nL 78.373395 153.055471 \nL 75.692898 150.287909 \nL 73.244972 147.13618 \nL 71.111425 143.620889 \nL 69.375684 139.783495 \nL 68.117604 135.688459 \nL 67.407358 131.423431 \nL 67.29903 127.096828 \nL 67.824773 122.832515 \nL 68.990489 118.76176 \nL 70.77387 115.013359 \nL 73.125293 111.703171 \nL 75.971585 108.924808 \nL 79.222033 106.742761 \nL 82.77576 105.189111 \nL 86.529292 104.26395 \nL 90.383322 103.939097 \nL 94.247981 104.164087 \nL 98.046266 104.873242 \nL 101.715697 105.992724 \nL 105.208489 107.446715 \nL 108.490607 109.162252 \nL 111.540179 111.072549 \nL 114.345564 113.118937 \nL 116.903377 115.251666 \nL 119.216632 117.429841 \nL 121.293085 119.620822 \nL 123.143845 121.799294 \nL 124.782211 123.946207 \nL 126.22276 126.047724 \nL 128.570944 130.079441 \nL 130.307277 133.853362 \nL 131.540398 137.361176 \nL 132.363159 140.612715 \nL 132.850765 143.626832 \nL 133.061017 146.425969 \nL 133.035607 149.033061 \nL 132.8018 151.469855 \nL 132.374084 153.75603 \nL 131.755562 155.908757 \nL 130.938964 157.94244 \nL 129.907246 159.868402 \nL 128.633791 161.694386 \nL 127.082293 163.423657 \nL 125.206418 165.05347 \nL 122.949484 166.572626 \nL 120.244524 167.957664 \nL 117.015343 169.167211 \nL 115.178544 169.686403 \nL 113.179673 170.133833 \nL 111.008633 170.495169 \nL 108.656144 170.752881 \nL 106.114379 170.885745 \nL 103.377777 170.868326 \nL 100.444108 170.670512 \nL 97.31579 170.257154 \nL 94.001502 169.587907 \nL 90.51809 168.617454 \nL 86.892727 167.29625 \nL 83.165225 165.572073 \nL 79.390288 163.392608 \nL 75.639403 160.709351 \nL 72.001922 157.48297 \nL 68.584698 153.690106 \nL 65.509702 149.331282 \nL 62.908948 144.439052 \nL 60.916454 139.085059 \nL 59.657432 133.384182 \nL 59.235647 127.493806 \nL 59.720729 121.606772 \nL 61.137709 115.937546 \nL 63.461179 110.703005 \nL 66.615705 106.100667 \nL 70.482785 102.288546 \nL 74.913122 99.370479 \nL 79.741786 97.389548 \nL 84.803388 96.330224 \nL 89.94484 96.127679 \nL 95.03422 96.68153 \nL 99.965397 97.870895 \nL 104.658973 99.568159 \nL 109.060524 101.649867 \nL 113.137261 104.004134 \nL 116.874037 106.534711 \nL 120.269363 109.162427 \nL 123.331815 111.824726 \nL 126.077007 114.474009 \nL 128.525172 117.07548 \nL 130.699287 119.604812 \nL 132.623662 122.045951 \nL 135.821282 126.629518 \nL 138.307254 130.797624 \nL 140.252086 134.56199 \nL 142.469049 139.517608 \nL 146.215289 148.428614 \nL 147.261655 150.405442 \nL 148.403644 152.154727 \nL 149.691532 153.678589 \nL 151.175271 154.971099 \nL 152.906775 156.017349 \nL 154.941673 156.792063 \nL 157.340345 157.257685 \nL 160.167915 157.361966 \nL 163.492578 157.035245 \nL 165.362475 156.68309 \nL 167.381239 156.187943 \nL 169.555631 155.535308 \nL 171.89093 154.709488 \nL 174.390277 153.693801 \nL 177.053865 152.470964 \nL 179.877953 151.023672 \nL 182.853689 149.335458 \nL 185.965778 147.391868 \nL 189.191001 145.182035 \nL 192.496683 142.700649 \nL 195.839217 139.950362 \nL 199.162851 136.944508 \nL 202.398989 133.709975 \nL 205.466329 130.289947 \nL 208.272202 126.745975 \nL 210.715487 123.158816 \nL 212.691302 119.627366 \nL 214.097533 116.265003 \nL 214.842885 113.193053 \nL 214.85568 110.531488 \nL 214.092287 108.387714 \nL 212.543743 106.845017 \nL 210.239207 105.952705 \nL 207.245275 105.720028 \nL 203.660948 106.115326 \nL 199.608962 107.070737 \nL 195.224919 108.491558 \nL 190.646046 110.268241 \nL 186.001255 112.28871 \nL 176.946482 116.660002 \nL 168.716859 120.977709 \nL 161.643953 124.915884 \nL 155.808133 128.390225 \nL 151.135087 131.452481 \nL 147.474561 134.203258 \nL 144.651756 136.741124 \nL 142.496128 139.1416 \nL 140.855183 141.453684 \nL 139.599384 143.704319 \nL 138.62221 145.90498 \nL 137.495869 149.115529 \nL 134.476485 158.896497 \nL 133.303786 161.528951 \nL 132.352645 163.20876 \nL 131.223737 164.830605 \nL 129.874853 166.395329 \nL 128.256591 167.901394 \nL 126.310693 169.342876 \nL 123.968575 170.706434 \nL 121.150347 171.966796 \nL 117.764997 173.080018 \nL 113.71288 173.973661 \nL 111.404843 174.304408 \nL 108.892611 174.532986 \nL 106.165623 174.635443 \nL 103.215685 174.582706 \nL 100.038222 174.339888 \nL 96.633886 173.865706 \nL 93.010558 173.112135 \nL 89.185769 172.024467 \nL 85.189502 170.542077 \nL 81.067256 168.600187 \nL 76.883128 166.133047 \nL 72.722455 163.078918 \nL 68.69342 159.387135 \nL 64.92672 155.027249 \nL 61.572386 149.999811 \nL 58.792817 144.347484 \nL 56.751611 138.164555 \nL 55.598563 131.601966 \nL 55.452417 124.865064 \nL 56.384101 118.201998 \nL 58.404105 111.882691 \nL 61.457171 106.170945 \nL 65.426306 101.294883 \nL 70.145583 97.421797 \nL 75.419135 94.642792 \nL 81.042181 92.969845 \nL 86.820001 92.344461 \nL 92.58201 92.654579 \nL 98.189794 93.754945 \nL 103.539516 95.486861 \nL 108.560121 97.694251 \nL 113.208991 100.234835 \nL 117.466519 102.986436 \nL 121.33066 105.849317 \nL 124.812072 108.745621 \nL 127.930077 111.617163 \nL 130.709507 114.422377 \nL 133.178328 117.133098 \nL 135.365906 119.731559 \nL 139.014854 124.557384 \nL 141.881673 128.877797 \nL 144.168 132.715594 \nL 150.569365 144.034287 \nL 152.043466 146.019181 \nL 153.632972 147.701028 \nL 155.403733 149.079135 \nL 157.417145 150.141385 \nL 158.533297 150.546941 \nL 159.732009 150.863365 \nL 161.020314 151.085514 \nL 162.405046 151.207358 \nL 163.892756 151.22195 \nL 165.489566 151.121422 \nL 167.200984 150.897009 \nL 169.03164 150.539099 \nL 170.984965 150.037338 \nL 173.062776 149.380803 \nL 175.264774 148.558274 \nL 177.587951 147.558608 \nL 180.025889 146.371279 \nL 182.567976 144.987064 \nL 185.198548 143.398954 \nL 187.896011 141.603276 \nL 190.631985 139.600994 \nL 193.370575 137.399224 \nL 196.067881 135.012828 \nL 198.67192 132.465972 \nL 201.123099 129.793462 \nL 203.355442 127.041579 \nL 205.298711 124.268112 \nL 206.881501 121.541283 \nL 208.035239 118.937303 \nL 208.698921 116.536443 \nL 208.824144 114.417823 \nL 208.379878 112.653236 \nL 207.356282 111.300886 \nL 205.766949 110.399848 \nL 203.649047 109.966264 \nL 201.061204 109.992025 \nL 198.079339 110.446177 \nL 194.791029 111.278859 \nL 191.289175 112.427098 \nL 187.66584 113.821379 \nL 184.006996 115.391998 \nL 176.874258 118.812629 \nL 170.345666 122.288233 \nL 164.673274 125.589293 \nL 159.944027 128.629819 \nL 156.134364 131.412716 \nL 153.159366 133.980331 \nL 150.908458 136.382133 \nL 149.267976 138.658634 \nL 148.133826 140.836326 \nL 147.417544 142.928353 \nL 147.048354 144.937464 \nL 146.973016 146.859171 \nL 147.154592 148.684319 \nL 147.570853 150.400732 \nL 148.212733 151.993975 \nL 149.083031 153.447403 \nL 150.195458 154.741535 \nL 151.574003 155.852946 \nL 153.252536 156.752619 \nL 155.274475 157.403821 \nL 157.692208 157.759496 \nL 160.565795 157.759197 \nL 163.960189 157.325844 \nL 167.939792 156.362855 \nL 170.166728 155.646885 \nL 172.558632 154.75302 \nL 175.117936 153.663883 \nL 177.843872 152.361619 \nL 180.731413 150.828549 \nL 183.770018 149.048124 \nL 186.942217 147.006218 \nL 190.222067 144.692841 \nL 193.573581 142.104285 \nL 196.949247 139.24568 \nL 200.288881 136.133852 \nL 203.51911 132.800299 \nL 206.553777 129.29387 \nL 209.295727 125.682635 \nL 211.640265 122.054302 \nL 213.480508 118.51442 \nL 214.71459 115.181833 \nL 215.25423 112.181097 \nL 215.033832 109.632186 \nL 214.018767 107.63868 \nL 212.211352 106.276087 \nL 209.653211 105.582669 \nL 206.423191 105.554673 \nL 202.630922 106.147237 \nL 198.406993 107.280929 \nL 193.891437 108.852479 \nL 189.222418 110.747563 \nL 184.526762 112.853094 \nL 175.469345 117.30534 \nL 167.32924 121.618948 \nL 160.392275 125.511019 \nL 154.704689 128.928886 \nL 150.171081 131.941213 \nL 146.630244 134.654464 \nL 143.90298 137.166919 \nL 141.818078 139.551363 \nL 140.224214 141.853699 \nL 138.993698 144.098317 \nL 138.021858 146.294945 \nL 136.869168 149.501081 \nL 134.242168 157.442534 \nL 133.032854 160.167515 \nL 132.063724 161.906713 \nL 130.920508 163.584855 \nL 129.560504 165.201814 \nL 127.934424 166.755142 \nL 125.984722 168.238019 \nL 123.644171 169.636231 \nL 120.835001 170.923686 \nL 117.469227 172.055811 \nL 113.451333 172.960036 \nL 111.167524 173.293178 \nL 108.685287 173.522552 \nL 105.994912 173.624655 \nL 103.089106 173.571082 \nL 99.964195 173.327905 \nL 96.621685 172.855167 \nL 93.07017 172.1066 \nL 89.327623 171.02978 \nL 85.424036 169.566924 \nL 81.404274 167.656668 \nL 77.330892 165.237173 \nL 73.286533 162.250888 \nL 69.375278 158.651242 \nL 65.722199 154.411194 \nL 62.470212 149.533225 \nL 59.77347 144.059562 \nL 57.786906 138.08079 \nL 56.652304 131.740366 \nL 56.482334 125.232416 \nL 57.345091 118.791034 \nL 59.252317 112.670955 \nL 62.154286 107.122043 \nL 65.943131 102.361941 \nL 70.464295 98.55265 \nL 75.533779 95.785742 \nL 80.957537 94.078816 \nL 86.54931 93.38267 \nL 92.144168 93.596309 \nL 97.606598 94.585571 \nL 102.83337 96.201538 \nL 107.752354 98.29587 \nL 112.31881 100.731769 \nL 116.510485 103.390447 \nL 120.322551 106.17383 \nL 123.762981 109.00444 \nL 126.848647 111.823596 \nL 129.602225 114.588729 \nL 132.049826 117.270416 \nL 134.219244 119.849552 \nL 137.83598 124.660859 \nL 140.669575 128.991887 \nL 142.915913 132.859165 \nL 145.546264 137.870302 \nL 148.355736 143.279281 \nL 149.688272 145.50788 \nL 151.078803 147.445319 \nL 152.594634 149.099463 \nL 154.297626 150.468059 \nL 156.246999 151.53797 \nL 158.501186 152.284131 \nL 159.76082 152.524392 \nL 161.118483 152.668234 \nL 162.581279 152.708573 \nL 164.156061 152.637329 \nL 165.849257 152.445429 \nL 167.66663 152.122814 \nL 169.612977 151.658508 \nL 171.69173 151.040732 \nL 173.904469 150.257121 \nL 176.250329 149.29504 \nL 178.725278 148.142043 \nL 181.321307 146.78653 \nL 184.025492 145.218585 \nL 186.819004 143.431087 \nL 189.676077 141.421056 \nL 192.56306 139.19125 \nL 195.437636 136.751956 \nL 198.248367 134.122848 \nL 200.934788 131.334758 \nL 203.428244 128.431059 \nL 205.653652 125.468352 \nL 207.532395 122.516022 \nL 208.986337 119.654371 \nL 209.942871 116.971002 \nL 210.340612 114.555489 \nL 210.135177 112.492665 \nL 209.304256 110.855213 \nL 207.851169 109.696604 \nL 205.806158 109.045631 \nL 203.225069 108.903477 \nL 200.18541 109.244111 \nL 196.780357 110.017838 \nL 193.111577 111.157455 \nL 189.2819 112.585841 \nL 185.388821 114.223642 \nL 177.747445 117.837255 \nL 170.714554 121.526493 \nL 164.58608 125.017626 \nL 159.466755 128.208031 \nL 155.333073 131.102286 \nL 152.09059 133.752761 \nL 149.615269 136.220549 \nL 147.779254 138.556203 \nL 146.465032 140.793761 \nL 145.572001 142.951722 \nL 145.018508 145.036686 \nL 144.741408 147.047289 \nL 144.694447 148.977398 \nL 144.84625 150.818326 \nL 145.17837 152.560072 \nL 145.683632 154.191806 \nL 146.364891 155.701747 \nL 147.234224 157.076593 \nL 148.312539 158.300576 \nL 149.629551 159.354147 \nL 151.224033 160.212255 \nL 153.144187 160.84216 \nL 155.447919 161.200675 \nL 158.202588 161.230797 \nL 161.483602 160.857747 \nL 165.370736 159.98478 \nL 167.565959 159.323694 \nL 169.940479 158.489731 \nL 172.50103 157.463532 \nL 175.251855 156.22441 \nL 178.193665 154.750798 \nL 181.322357 153.020985 \nL 184.627474 151.014224 \nL 188.090431 148.712288 \nL 191.682541 146.101583 \nL 195.362959 143.175847 \nL 199.076705 139.939451 \nL 202.753093 136.411153 \nL 206.3049 132.628051 \nL 209.628818 128.649212 \nL 212.607694 124.558224 \nL 215.115078 120.463731 \nL 217.022353 116.496894 \nL 218.208367 112.804951 \nL 218.570878 109.54052 \nL 218.038446 106.847339 \nL 216.580847 104.844137 \nL 214.21587 103.609566 \nL 211.010696 103.171299 \nL 207.077058 103.502169 \nL 202.560731 104.524438 \nL 197.627234 106.121448 \nL 192.44641 108.153936 \nL 187.178488 110.477469 \nL 176.915778 115.480654 \nL 167.636398 120.332595 \nL 156.303173 126.561347 \nL 150.498093 129.973851 \nL 145.917934 132.93278 \nL 142.351049 135.581644 \nL 139.583786 138.036754 \nL 137.421835 140.377097 \nL 135.698008 142.648662 \nL 134.272827 144.873324 \nL 131.880274 149.198892 \nL 129.544442 153.324923 \nL 128.232577 155.291937 \nL 126.748044 157.181724 \nL 125.034723 158.982075 \nL 123.034689 160.676753 \nL 120.686653 162.242525 \nL 117.925489 163.644996 \nL 114.6834 164.832951 \nL 112.860944 165.324076 \nL 110.893688 165.730866 \nL 108.77475 166.038557 \nL 106.498615 166.229624 \nL 104.061772 166.283456 \nL 101.463491 166.176075 \nL 98.706792 165.879946 \nL 95.799592 165.363959 \nL 92.756043 164.593656 \nL 89.598007 163.531845 \nL 86.356625 162.139729 \nL 83.073811 160.378712 \nL 79.803515 158.21302 \nL 76.612465 155.61322 \nL 73.580028 152.56065 \nL 70.796831 149.052536 \nL 68.361766 145.107369 \nL 66.377136 140.769825 \nL 64.942006 136.114192 \nL 64.144097 131.245208 \nL 64.051135 126.295289 \nL 64.70287 121.417571 \nL 66.105216 116.775083 \nL 68.227708 112.527149 \nL 71.005101 108.815168 \nL 74.342894 105.75007 \nL 78.125958 103.403646 \nL 82.228706 101.805073 \nL 86.525167 100.942715 \nL 90.89754 100.770315 \nL 95.242362 101.215938 \nL 99.474067 102.191821 \nL 103.526124 103.603628 \nL 107.35037 105.358053 \nL 110.915111 107.368341 \nL 114.202614 109.557704 \nL 117.206429 111.860892 \nL 119.928818 114.224438 \nL 122.378485 116.605965 \nL 124.568658 118.972951 \nL 126.515537 121.301275 \nL 128.23706 123.573746 \nL 129.751967 125.778704 \nL 132.236872 129.96009 \nL 134.113932 133.821625 \nL 135.511312 137.369476 \nL 136.53771 140.624609 \nL 137.281981 143.613982 \nL 138.019348 147.660818 \nL 138.451054 151.260221 \nL 138.74146 155.489286 \nL 138.85202 160.872586 \nL 138.718744 166.05034 \nL 138.40654 169.772951 \nL 137.939175 172.487925 \nL 137.347575 174.46549 \nL 136.713214 175.86403 \nL 135.847012 177.212351 \nL 134.661163 178.531929 \nL 133.634531 179.406331 \nL 132.365418 180.28312 \nL 130.79531 181.166047 \nL 128.851848 182.055118 \nL 126.446094 182.943329 \nL 123.469862 183.811253 \nL 119.793799 184.618207 \nL 115.267745 185.288179 \nL 112.634551 185.533233 \nL 109.726344 185.688089 \nL 106.522741 185.721952 \nL 103.005476 185.595831 \nL 99.160236 185.260962 \nL 94.979178 184.657208 \nL 90.464285 183.711666 \nL 85.631689 182.337801 \nL 80.517018 180.435671 \nL 75.181637 177.894026 \nL 69.71937 174.595264 \nL 64.262856 170.424415 \nL 58.98801 165.283197 \nL 54.114423 159.109526 \nL 49.899027 151.901546 \nL 46.620512 143.742907 \nL 44.55328 134.823374 \nL 43.932546 125.446636 \nL 44.916078 116.017297 \nL 47.551613 107.003146 \nL 51.759977 98.876374 \nL 57.340718 92.046232 \nL 64.000269 86.800788 \nL 71.395091 83.273354 \nL 79.17806 81.440762 \nL 87.036876 81.149748 \nL 94.718114 82.160057 \nL 102.036066 84.190952 \nL 108.869709 86.960814 \nL 115.152657 90.21464 \nL 120.860567 93.738938 \nL 125.998932 97.366353 \nL 130.592877 100.973348 \nL 134.679338 104.474197 \nL 138.301495 107.813554 \nL 141.504996 110.959134 \nL 146.837299 116.618019 \nL 151.019268 121.440848 \nL 160.502118 132.859994 \nL 162.553337 134.884417 \nL 164.561455 136.457024 \nL 166.614258 137.605347 \nL 168.776179 138.343755 \nL 171.090532 138.676232 \nL 173.580059 138.599694 \nL 176.245796 138.108172 \nL 179.064475 137.198197 \nL 181.984957 135.875742 \nL 184.924727 134.164543 \nL 187.76802 132.115221 \nL 190.3678 129.81344 \nL 192.554003 127.384224 \nL 193.436416 126.171108 \nL 194.149852 124.988876 \nL 194.675146 123.861134 \nL 194.996031 122.811449 \nL 195.100036 121.862369 \nL 194.979297 121.034412 \nL 194.631167 120.345071 \nL 194.058598 119.807935 \nL 193.270218 119.432055 \nL 192.280112 119.221555 \nL 191.107284 119.175591 \nL 189.77486 119.288605 \nL 188.309099 119.550906 \nL 185.091537 120.468762 \nL 181.685021 121.801611 \nL 178.302909 123.412882 \nL 175.120056 125.18006 \nL 172.26364 127.00688 \nL 169.814267 128.825344 \nL 167.813461 130.591074 \nL 166.273748 132.27604 \nL 165.18865 133.86143 \nL 164.54112 135.332073 \nL 164.309909 136.672738 \nL 164.473859 137.865948 \nL 165.014407 138.890906 \nL 165.916561 139.723091 \nL 167.168621 140.334262 \nL 168.760781 140.692817 \nL 170.682668 140.764528 \nL 172.919773 140.513965 \nL 175.448759 139.906908 \nL 178.231647 138.914236 \nL 181.209198 137.517752 \nL 184.294168 135.718137 \nL 187.36589 133.544692 \nL 190.268376 131.065467 \nL 192.81488 128.394954 \nL 193.89105 127.036872 \nL 194.801708 125.694968 \nL 195.522743 124.395158 \nL 196.03251 123.164244 \nL 196.312965 122.028844 \nL 196.350731 121.014169 \nL 196.138012 120.142772 \nL 195.673292 119.433348 \nL 194.961691 118.899742 \nL 194.014961 118.550224 \nL 192.85109 118.387153 \nL 191.493537 118.407046 \nL 189.970164 118.601076 \nL 188.311969 118.955869 \nL 184.722532 120.078122 \nL 180.984827 121.618875 \nL 177.330157 123.421965 \nL 173.939834 125.354923 \nL 170.93844 127.319731 \nL 168.398376 129.251808 \nL 166.350545 131.11238 \nL 164.796763 132.879099 \nL 163.721155 134.537803 \nL 163.099249 136.076579 \nL 162.904523 137.482142 \nL 163.112611 138.737888 \nL 163.703613 139.82305 \nL 164.662858 140.712421 \nL 165.980424 141.3764 \nL 167.649572 141.781263 \nL 169.664088 141.889724 \nL 172.014501 141.662137 \nL 174.682988 141.058715 \nL 177.636936 140.043359 \nL 180.821292 138.58972 \nL 184.150349 136.689934 \nL 187.500357 134.365952 \nL 190.705519 131.682179 \nL 193.560844 128.75633 \nL 194.785609 127.255215 \nL 195.835712 125.763417 \nL 196.682704 124.310273 \nL 197.300551 122.92662 \nL 197.667002 121.643521 \nL 197.764928 120.490817 \nL 197.583539 119.495563 \nL 197.119299 118.680509 \nL 196.376494 118.062769 \nL 195.367321 117.652862 \nL 194.111479 117.454182 \nL 192.63531 117.463035 \nL 190.970511 117.66918 \nL 189.152598 118.056843 \nL 187.219218 118.606043 \nL 183.157389 120.097075 \nL 179.069757 121.954293 \nL 175.190783 124.008021 \nL 171.688733 126.128198 \nL 168.666406 128.228341 \nL 166.17217 130.258159 \nL 164.21491 132.191714 \nL 162.77858 134.016225 \nL 161.834187 135.723605 \nL 161.348614 137.305171 \nL 161.290489 138.748812 \nL 161.633649 140.037758 \nL 162.358744 141.150189 \nL 163.453441 142.059195 \nL 164.911503 142.732847 \nL 166.730846 143.134351 \nL 168.910538 143.222439 \nL 171.446567 142.952396 \nL 174.326124 142.278199 \nL 177.520231 141.156551 \nL 180.974713 139.553602 \nL 184.600172 137.455071 \nL 188.262494 134.879888 \nL 191.776927 131.896052 \nL 193.407371 130.289218 \nL 194.910188 128.634986 \nL 196.251141 126.960759 \nL 197.395791 125.297852 \nL 198.310904 123.680669 \nL 198.966062 122.145486 \nL 199.335383 120.728861 \nL 199.3992 119.465782 \nL 199.145563 118.387669 \nL 198.571378 117.520464 \nL 197.683037 116.88297 \nL 196.496451 116.485704 \nL 195.036442 116.330356 \nL 193.335523 116.409966 \nL 191.432199 116.709808 \nL 189.368947 117.208821 \nL 187.190097 117.881418 \nL 182.660106 119.634113 \nL 178.163077 121.744176 \nL 173.951937 124.02055 \nL 170.197833 126.32609 \nL 166.995827 128.577317 \nL 164.381095 130.731877 \nL 162.347861 132.772833 \nL 160.86643 134.695227 \nL 159.896414 136.496874 \nL 159.395973 138.173138 \nL 159.327644 139.714491 \nL 159.661604 141.105734 \nL 160.377047 142.325953 \nL 161.462219 143.348633 \nL 162.913469 144.141681 \nL 164.733368 144.667348 \nL 166.927902 144.882199 \nL 169.502468 144.737464 \nL 172.456329 144.180334 \nL 175.775111 143.157016 \nL 179.421091 141.618521 \nL 183.321414 139.530427 \nL 187.355349 136.887384 \nL 189.368796 135.368647 \nL 191.343318 133.732094 \nL 193.246527 131.993972 \nL 195.042482 130.175922 \nL 196.69239 128.305194 \nL 198.1557 126.414509 \nL 199.39154 124.541516 \nL 200.36054 122.727699 \nL 201.026897 121.016781 \nL 201.360589 119.452605 \nL 201.339539 118.076687 \nL 200.951483 116.925581 \nL 200.195336 116.028412 \nL 199.081838 115.404829 \nL 197.633385 115.063685 \nL 195.882977 115.00263 \nL 193.872416 115.208669 \nL 191.649913 115.659652 \nL 189.26739 116.326446 \nL 186.777748 117.175448 \nL 181.678992 119.278808 \nL 176.712746 121.703221 \nL 172.144763 124.237963 \nL 168.139593 126.745427 \nL 164.774586 129.152769 \nL 162.063209 131.431937 \nL 159.978663 133.579256 \nL 158.473293 135.60003 \nL 157.492627 137.49913 \nL 156.984544 139.276437 \nL 156.904683 140.925266 \nL 157.219172 142.43232 \nL 157.905589 143.778118 \nL 158.952745 144.93736 \nL 160.359664 145.87894 \nL 162.133898 146.565631 \nL 164.289091 146.953523 \nL 166.841547 146.991597 \nL 169.805333 146.621851 \nL 173.18536 145.780754 \nL 176.967781 144.403212 \nL 181.107282 142.43049 \nL 183.284374 141.207522 \nL 185.511501 139.823787 \nL 187.767012 138.280904 \nL 190.024348 136.584642 \nL 192.251786 134.745848 \nL 194.41243 132.781338 \nL 196.464521 130.714625 \nL 198.362164 128.576418 \nL 200.056548 126.404662 \nL 201.497686 124.244036 \nL 202.636686 122.144741 \nL 203.428417 120.160519 \nL 203.834468 118.345943 \nL 203.826081 116.753118 \nL 203.386753 115.428111 \nL 202.514169 114.407489 \nL 201.221175 113.715436 \nL 199.535559 113.361907 \nL 197.498638 113.342107 \nL 195.162751 113.63735 \nL 192.587974 114.217238 \nL 189.838452 115.042811 \nL 186.978734 116.070124 \nL 181.170144 118.550315 \nL 175.580929 121.329613 \nL 170.50434 124.164632 \nL 166.106183 126.911179 \nL 162.448792 129.505974 \nL 159.523364 131.936876 \nL 157.279708 134.216018 \nL 155.648956 136.361547 \nL 154.558935 138.387703 \nL 153.943531 140.300902 \nL 153.747768 142.09919 \nL 153.930064 143.773139 \nL 154.462761 145.306983 \nL 155.331676 146.679424 \nL 156.535102 147.863865 \nL 158.082476 148.827996 \nL 159.992689 149.53293 \nL 162.29187 149.931921 \nL 165.010244 149.969093 \nL 168.177445 149.578555 \nL 171.815475 148.684809 \nL 173.813364 148.023653 \nL 175.928289 147.205693 \nL 178.155504 146.220846 \nL 180.487025 145.059914 \nL 182.910911 143.715265 \nL 185.410514 142.181663 \nL 187.963717 140.45728 \nL 190.54224 138.544887 \nL 193.111079 136.453151 \nL 195.628211 134.197969 \nL 198.044669 131.803739 \nL 200.305156 129.304356 \nL 202.349307 126.743724 \nL 204.113738 124.175541 \nL 205.534874 121.66208 \nL 206.552528 119.271863 \nL 207.113999 117.076097 \nL 207.17834 115.144102 \nL 206.720291 113.538121 \nL 205.733371 112.308074 \nL 204.231553 111.487117 \nL 202.249223 111.088597 \nL 199.839262 111.105128 \nL 197.069466 111.509847 \nL 194.017768 112.259736 \nL 190.766893 113.300406 \nL 187.399156 114.571559 \nL 183.991937 116.012274 \nL 177.324705 119.181171 \nL 171.186544 122.445297 \nL 165.821672 125.587199 \nL 161.325672 128.514913 \nL 157.691243 131.217819 \nL 154.851389 133.724271 \nL 152.712072 136.072489 \nL 151.173704 138.295061 \nL 150.143749 140.413259 \nL 149.543207 142.436719 \nL 149.309221 144.365481 \nL 149.395472 146.192443 \nL 149.77143 147.905373 \nL 150.421137 149.488168 \nL 151.341923 150.921235 \nL 152.543246 152.181194 \nL 154.045675 153.239907 \nL 155.879965 154.062936 \nL 158.085966 154.607513 \nL 160.711009 154.820157 \nL 163.807154 154.634134 \nL 167.42639 153.967303 \nL 169.446481 153.423462 \nL 171.612482 152.721362 \nL 173.926417 151.846591 \nL 176.387783 150.784357 \nL 178.992726 149.519977 \nL 181.733088 148.039582 \nL 184.595316 146.331069 \nL 187.559285 144.385345 \nL 190.597059 142.197905 \nL 193.671732 139.770697 \nL 196.736441 137.114256 \nL 199.73379 134.249942 \nL 202.595869 131.212102 \nL 205.245188 128.049781 \nL 207.596763 124.82758 \nL 209.561545 121.625139 \nL 211.051269 118.534804 \nL 211.984538 115.657151 \nL 212.293698 113.094351 \nL 211.931698 110.941872 \nL 210.878007 109.279431 \nL 209.142465 108.162631 \nL 206.766269 107.616792 \nL 203.819647 107.63424 \nL 200.396414 108.17575 \nL 196.606236 109.175946 \nL 192.56579 110.551498 \nL 188.390177 112.21067 \nL 184.185677 114.062423 \nL 176.042297 118.025217 \nL 168.667723 121.945993 \nL 162.330921 125.568493 \nL 157.09804 128.822834 \nL 152.908422 131.744681 \nL 149.637318 134.408877 \nL 147.138 136.890089 \nL 145.266319 139.245878 \nL 143.893102 141.513374 \nL 142.909094 143.712335 \nL 142.225643 145.850124 \nL 141.77321 147.926439 \nL 141.41597 150.915735 \nL 141.340842 153.737039 \nL 141.478711 156.371765 \nL 141.799413 158.805165 \nL 142.302573 161.025353 \nL 143.01285 163.020445 \nL 143.62445 164.217953 \nL 144.369984 165.301934 \nL 145.276021 166.263159 \nL 146.375839 167.088753 \nL 147.710557 167.760778 \nL 149.330474 168.254382 \nL 151.296511 168.53527 \nL 153.681567 168.556369 \nL 156.571406 168.253409 \nL 160.064333 167.539357 \nL 164.268338 166.297842 \nL 169.293445 164.376515 \nL 172.145136 163.102304 \nL 175.23558 161.582805 \nL 178.569668 159.788242 \nL 182.14659 157.687668 \nL 185.957672 155.250335 \nL 189.983766 152.447746 \nL 194.192252 149.256601 \nL 198.53375 145.662772 \nL 202.938834 141.666363 \nL 207.315163 137.287749 \nL 211.545692 132.574177 \nL 215.488869 127.606074 \nL 218.981747 122.501726 \nL 221.847086 117.418514 \nL 223.90499 112.548651 \nL 224.988928 108.107706 \nL 224.964766 104.315421 \nL 223.750045 101.370318 \nL 221.329643 99.422104 \nL 217.763745 98.547957 \nL 213.18524 98.738939 \nL 207.786181 99.900989 \nL 201.79578 101.870691 \nL 195.454744 104.441884 \nL 188.991303 107.396145 \nL 182.603119 110.530069 \nL 170.636072 116.70345 \nL 142.242641 131.666128 \nL 137.569669 134.365104 \nL 133.921189 136.745727 \nL 131.031249 138.945994 \nL 128.672667 141.046831 \nL 125.728719 144.087571 \nL 121.265972 148.858419 \nL 119.338699 150.608255 \nL 117.213344 152.222748 \nL 114.827452 153.662233 \nL 112.128153 154.87723 \nL 109.073579 155.805127 \nL 107.403953 156.137313 \nL 105.637055 156.36638 \nL 103.773167 156.479207 \nL 101.814679 156.461312 \nL 99.766541 156.296903 \nL 97.636772 155.96904 \nL 95.437006 155.459909 \nL 93.183058 154.751299 \nL 90.895462 153.82527 \nL 88.599929 152.665067 \nL 86.327659 151.256311 \nL 84.115401 149.588449 \nL 82.005189 147.656445 \nL 80.043606 145.462609 \nL 78.280546 143.018443 \nL 76.767385 140.346273 \nL 75.554581 137.480431 \nL 74.688816 134.467678 \nL 74.209873 131.366625 \nL 74.14755 128.24596 \nL 74.518949 125.181437 \nL 75.326548 122.25181 \nL 76.557319 119.534056 \nL 78.183128 117.09842 \nL 80.162357 115.003937 \nL 82.442591 113.294901 \nL 84.964041 111.998773 \nL 87.663244 111.125687 \nL 90.476649 110.669448 \nL 93.343736 110.609782 \nL 96.209403 110.915343 \nL 99.025612 111.547085 \nL 101.752221 112.461581 \nL 104.357184 113.613953 \nL 106.816225 114.960232 \nL 109.112158 116.459154 \nL 111.234017 118.073271 \nL 113.176076 119.769597 \nL 114.936878 121.519805 \nL 116.518329 123.300122 \nL 117.924856 125.091016 \nL 119.162707 126.876775 \nL 120.239327 128.645019 \nL 121.16286 130.386216 \nL 122.584359 133.760793 \nL 123.49278 136.964432 \nL 123.946461 139.981359 \nL 123.992548 142.807731 \nL 123.66526 145.445721 \nL 122.98552 147.899256 \nL 121.961401 150.170844 \nL 120.589099 152.258919 \nL 118.854289 154.155283 \nL 116.733987 155.842287 \nL 115.520349 156.598367 \nL 114.19918 157.289464 \nL 112.766558 157.9091 \nL 111.218783 158.449432 \nL 109.552634 158.901111 \nL 107.765676 159.253103 \nL 105.856644 159.492546 \nL 103.825896 159.604635 \nL 101.675949 159.572538 \nL 99.412119 159.377423 \nL 97.043218 158.998578 \nL 94.582344 158.41372 \nL 92.047701 157.599538 \nL 89.463419 156.532507 \nL 86.860274 155.190063 \nL 84.276247 153.552187 \nL 81.756745 151.603401 \nL 79.35435 149.335125 \nL 77.127942 146.748342 \nL 75.141022 143.856273 \nL 73.459179 140.686831 \nL 72.146677 137.284371 \nL 71.262376 133.710303 \nL 70.855237 130.042148 \nL 70.959975 126.370725 \nL 71.593392 122.795463 \nL 72.751997 119.418204 \nL 74.411357 116.33606 \nL 76.527386 113.634404 \nL 79.039413 111.380786 \nL 81.874657 109.620802 \nL 84.953441 108.376277 \nL 88.194453 107.645885 \nL 91.519457 107.407839 \nL 94.856992 107.624054 \nL 98.144892 108.244966 \nL 101.331622 109.214456 \nL 104.376587 110.474175 \nL 107.249655 111.967065 \nL 109.93017 113.639928 \nL 112.405661 115.445011 \nL 114.670456 117.340852 \nL 116.724327 119.292467 \nL 118.571223 121.271088 \nL 120.218174 123.253649 \nL 121.674349 125.222102 \nL 122.950275 127.162701 \nL 124.057218 129.065301 \nL 125.810004 132.730004 \nL 127.021319 136.183936 \nL 127.769981 139.418545 \nL 128.120905 142.438798 \nL 128.123581 145.256505 \nL 127.812036 147.885999 \nL 127.205551 150.341316 \nL 126.309673 152.634259 \nL 125.117252 154.772805 \nL 123.609417 156.759542 \nL 121.756537 158.589732 \nL 119.51938 160.248736 \nL 116.850846 161.708449 \nL 115.338635 162.349929 \nL 113.698943 162.922393 \nL 111.925352 163.416103 \nL 110.011975 163.819291 \nL 107.953843 164.117877 \nL 105.747403 164.295214 \nL 103.391129 164.33183 \nL 100.886283 164.205248 \nL 98.237813 163.889904 \nL 95.455408 163.357233 \nL 92.554686 162.576022 \nL 89.558487 161.513099 \nL 86.49818 160.134519 \nL 83.414859 158.40733 \nL 80.360277 156.302038 \nL 77.397231 153.795819 \nL 74.599156 150.876396 \nL 72.048604 147.546413 \nL 69.834325 143.827848 \nL 68.046842 139.765851 \nL 66.772577 135.431198 \nL 66.086942 130.920435 \nL 66.047126 126.353007 \nL 66.685577 121.865002 \nL 68.005335 117.599859 \nL 69.978164 113.69696 \nL 72.54601 110.27989 \nL 75.625659 107.446103 \nL 79.115903 105.259752 \nL 82.905983 103.748704 \nL 86.884048 102.90578 \nL 90.944462 102.693668 \nL 94.993238 103.052124 \nL 98.951357 103.906107 \nL 102.756097 105.173612 \nL 106.360767 106.772247 \nL 109.733354 108.624204 \nL 112.854536 110.659491 \nL 115.715465 112.81766 \nL 118.315564 115.048272 \nL 120.660529 117.310584 \nL 122.760593 119.572642 \nL 124.629081 121.810157 \nL 126.281256 124.005275 \nL 127.733401 126.145398 \nL 130.103842 130.2303 \nL 131.868767 134.032377 \nL 133.143867 137.55014 \nL 134.027421 140.798534 \nL 134.599138 143.800115 \nL 134.920963 146.579962 \nL 135.038839 149.162927 \nL 134.984773 151.572243 \nL 134.778816 153.828904 \nL 134.43074 155.951525 \nL 133.941322 157.956388 \nL 133.303184 159.857569 \nL 132.501204 161.667006 \nL 131.51252 163.394427 \nL 130.306156 165.047016 \nL 128.842335 166.628694 \nL 127.071551 168.138796 \nL 124.93356 169.569863 \nL 122.356565 170.904138 \nL 119.257099 172.108184 \nL 115.541537 173.124836 \nL 113.421748 173.535776 \nL 111.110844 173.861634 \nL 108.597337 174.082746 \nL 105.871234 174.175047 \nL 102.92501 174.109384 \nL 99.754865 173.85088 \nL 96.362333 173.358384 \nL 92.756273 172.584191 \nL 88.955265 171.474185 \nL 84.990362 169.968677 \nL 80.908061 168.004274 \nL 76.773254 165.517151 \nL 72.671702 162.448064 \nL 68.711411 158.749405 \nL 65.022073 154.394224 \nL 61.751636 149.386699 \nL 59.059225 143.77282 \nL 57.103981 137.649237 \nL 56.030338 131.167614 \nL 55.951287 124.531781 \nL 56.932406 117.985841 \nL 58.980026 111.793301 \nL 62.036681 106.20997 \nL 65.985452 101.45553 \nL 70.662725 97.689717 \nL 75.876662 94.998065 \nL 81.427474 93.389592 \nL 87.125605 92.805495 \nL 92.80515 93.135608 \nL 98.331489 94.238066 \nL 103.603532 95.958275 \nL 108.551983 98.144313 \nL 113.135136 100.657656 \nL 117.333665 103.379235 \nL 121.145369 106.211689 \nL 124.580466 109.078851 \nL 127.65769 111.923627 \nL 130.401216 114.705094 \nL 132.838337 117.395386 \nL 134.99777 119.976789 \nL 138.598692 124.778172 \nL 141.42497 129.085682 \nL 143.674662 132.920346 \nL 150.619388 145.348602 \nL 152.087116 147.21856 \nL 153.695919 148.795066 \nL 155.508436 150.073214 \nL 157.5844 151.036628 \nL 158.739438 151.391808 \nL 159.98212 151.65644 \nL 161.319526 151.824764 \nL 162.758555 151.890099 \nL 164.305815 151.844816 \nL 165.967451 151.68033 \nL 167.748928 151.387131 \nL 169.654737 150.954845 \nL 171.688024 150.372365 \nL 173.850124 149.628047 \nL 176.14 148.710034 \nL 178.553576 147.606684 \nL 181.082971 146.307198 \nL 183.715629 144.802412 \nL 186.433397 143.085842 \nL 189.211579 141.154921 \nL 192.018061 139.012493 \nL 194.81259 136.668462 \nL 197.546376 134.14151 \nL 200.162191 131.460706 \nL 202.595113 128.6668 \nL 204.774178 125.812836 \nL 206.625007 122.963813 \nL 208.073484 120.194982 \nL 209.050385 117.588634 \nL 209.4966 115.229291 \nL 209.368498 113.197611 \nL 208.642686 111.563626 \nL 207.31946 110.380178 \nL 205.424255 109.677702 \nL 203.006725 109.461216 \nL 200.137429 109.710267 \nL 196.902534 110.381754 \nL 193.397315 111.415283 \nL 189.719349 112.739918 \nL 185.962352 114.281304 \nL 178.538711 117.73642 \nL 171.651225 121.318901 \nL 165.607689 124.747901 \nL 160.530062 127.906612 \nL 156.41161 130.785854 \nL 153.171635 133.427853 \nL 150.696362 135.887494 \nL 148.865213 138.21208 \nL 147.56575 140.434177 \nL 146.700983 142.571667 \nL 146.192018 144.630749 \nL 145.97809 146.609496 \nL 146.015299 148.500856 \nL 146.274874 150.29472 \nL 146.741418 151.979061 \nL 147.411419 153.540299 \nL 148.292125 154.963016 \nL 149.400804 156.229158 \nL 150.76438 157.316793 \nL 152.419313 158.198396 \nL 154.411565 158.83866 \nL 156.796392 159.191783 \nL 159.63748 159.198236 \nL 163.004694 158.781165 \nL 166.969306 157.842947 \nL 169.196181 157.141641 \nL 171.594903 156.263081 \nL 174.169629 155.18889 \nL 176.921553 153.899868 \nL 179.847822 152.376574 \nL 182.940258 150.600216 \nL 186.183861 148.553902 \nL 189.555141 146.224334 \nL 193.020358 143.603991 \nL 196.533782 140.693802 \nL 200.036226 137.506259 \nL 203.454098 134.068753 \nL 206.699386 130.42681 \nL 209.670998 126.646641 \nL 212.257899 122.816338 \nL 214.344337 119.044833 \nL 215.817265 115.457871 \nL 216.575555 112.19051 \nL 216.54018 109.376333 \nL 215.663959 107.134319 \nL 213.939156 105.555335 \nL 211.401266 104.690743 \nL 208.127867 104.545654 \nL 204.232333 105.078501 \nL 199.853379 106.207307 \nL 195.14224 107.821255 \nL 190.249751 109.795075 \nL 185.315285 112.003279 \nL 175.776879 116.686468 \nL 167.199734 121.209281 \nL 159.896944 125.256527 \nL 153.916744 128.773371 \nL 149.152772 131.8409 \nL 145.42842 134.581075 \nL 142.549058 137.105264 \nL 140.329706 139.495349 \nL 138.607281 141.802781 \nL 137.244108 144.054875 \nL 135.630882 147.350446 \nL 131.51214 156.568556 \nL 130.390838 158.45085 \nL 129.093457 160.263696 \nL 127.571545 162.001869 \nL 125.771895 163.65717 \nL 123.634898 165.215881 \nL 121.093491 166.655168 \nL 118.073138 167.937923 \nL 114.493631 169.005551 \nL 112.468713 169.432151 \nL 110.274086 169.768154 \nL 107.901227 169.995349 \nL 105.343294 170.091864 \nL 102.595989 170.031691 \nL 99.658629 169.784282 \nL 96.535492 169.314274 \nL 93.237425 168.58146 \nL 89.783724 167.541142 \nL 86.204209 166.145087 \nL 82.541404 164.343273 \nL 78.85256 162.086686 \nL 75.211232 159.331407 \nL 71.707932 156.044032 \nL 68.449279 152.208404 \nL 65.55507 147.833131 \nL 63.152775 142.959045 \nL 61.36926 137.665198 \nL 60.320136 132.071692 \nL 60.097739 126.337581 \nL 60.75956 120.652756 \nL 62.319298 115.223671 \nL 64.742569 110.254641 \nL 67.948598 105.927567 \nL 71.817807 102.38391 \nL 76.203999 99.712323 \nL 80.948675 97.944066 \nL 85.894989 97.056226 \nL 90.899158 96.981299 \nL 95.838186 97.620324 \nL 100.613695 98.85687 \nL 105.15247 100.569578 \nL 109.404616 102.641923 \nL 113.340364 104.968749 \nL 116.946321 107.459833 \nL 120.22178 110.041013 \nL 123.175384 112.65365 \nL 125.822332 115.253065 \nL 128.182126 117.806509 \nL 130.276827 120.291001 \nL 132.129735 122.691302 \nL 135.204093 127.206635 \nL 137.586275 131.324617 \nL 139.439317 135.055749 \nL 141.526857 139.98957 \nL 145.827774 150.989129 \nL 146.810614 152.80292 \nL 147.911586 154.410532 \nL 149.175854 155.81026 \nL 150.650368 156.992845 \nL 152.385846 157.940382 \nL 154.438325 158.624683 \nL 156.870089 159.005085 \nL 159.749623 159.025656 \nL 163.149908 158.611961 \nL 165.068351 158.213165 \nL 167.143946 157.66797 \nL 169.384359 156.960704 \nL 171.795775 156.074301 \nL 174.382204 154.990523 \nL 177.144586 153.690335 \nL 180.07972 152.154525 \nL 183.178967 150.364608 \nL 186.426749 148.304118 \nL 189.798892 145.960318 \nL 193.260869 143.326424 \nL 196.766098 140.4043 \nL 200.254522 137.207562 \nL 203.651716 133.764912 \nL 206.869001 130.123289 \nL 209.804894 126.350337 \nL 212.348389 122.535416 \nL 214.384322 118.788354 \nL 215.800903 115.235188 \nL 216.498965 112.010461 \nL 216.402087 109.246269 \nL 215.466148 107.059176 \nL 213.686626 105.536884 \nL 211.102019 104.727211 \nL 207.792305 104.631823 \nL 203.872377 105.206324 \nL 199.481429 106.366909 \nL 194.770183 108.002084 \nL 189.888135 109.987 \nL 184.972777 112.19751 \nL 175.490108 116.866538 \nL 166.979169 121.363072 \nL 159.741817 125.383505 \nL 153.820224 128.878763 \nL 149.10581 131.931287 \nL 145.422001 134.662093 \nL 142.575293 137.180863 \nL 140.382231 139.567894 \nL 138.681309 141.873429 \nL 137.336307 144.123997 \nL 135.746859 147.417081 \nL 131.704891 156.624986 \nL 130.606809 158.505423 \nL 129.336461 160.317222 \nL 127.846135 162.055694 \nL 126.083378 163.713386 \nL 123.989309 165.277663 \nL 121.497477 166.727225 \nL 118.533674 168.027161 \nL 115.017444 169.121955 \nL 113.026332 169.567142 \nL 110.866579 169.925902 \nL 108.529198 170.180749 \nL 106.006708 170.310616 \nL 103.293938 170.290355 \nL 100.389064 170.090312 \nL 97.29489 169.675988 \nL 94.020422 169.007932 \nL 90.582701 168.041975 \nL 87.008884 166.730017 \nL 83.338446 165.02156 \nL 79.625315 162.866266 \nL 75.93964 160.217754 \nL 72.368748 157.038783 \nL 69.016729 153.307791 \nL 66.002039 149.026445 \nL 63.452579 144.227371 \nL 61.497948 138.980806 \nL 60.259097 133.398422 \nL 59.836275 127.632585 \nL 60.296937 121.869546 \nL 61.665782 116.316309 \nL 63.919137 111.182371 \nL 66.985236 106.659057 \nL 70.750691 102.900292 \nL 75.07204 100.008441 \nL 79.790133 98.027789 \nL 84.744623 96.946195 \nL 89.786297 96.703685 \nL 94.785779 97.205313 \nL 99.638231 98.335493 \nL 104.264503 99.971218 \nL 108.609659 101.992693 \nL 112.639904 104.290643 \nL 116.33883 106.770482 \nL 119.70359 109.353915 \nL 122.741422 111.978652 \nL 125.466698 114.596951 \nL 127.898524 117.173603 \nL 130.058883 119.683732 \nL 131.971225 122.110687 \nL 135.147076 126.67859 \nL 137.610518 130.84456 \nL 139.528499 134.617163 \nL 141.691215 139.600206 \nL 146.153663 150.665968 \nL 147.173892 152.479838 \nL 148.316475 154.082063 \nL 149.627969 155.470384 \nL 151.156628 156.634653 \nL 152.954371 157.55569 \nL 155.078266 158.20361 \nL 157.591298 158.535567 \nL 160.562043 158.492976 \nL 164.062469 157.998392 \nL 166.033528 157.551543 \nL 168.162689 156.952762 \nL 170.456773 156.186122 \nL 172.920843 155.234439 \nL 175.557439 154.07955 \nL 178.365635 152.702794 \nL 181.339893 151.085728 \nL 184.468729 149.211174 \nL 187.733175 147.064642 \nL 191.105136 144.636223 \nL 194.545699 141.922916 \nL 198.003592 138.931435 \nL 201.414008 135.681316 \nL 204.698159 132.208091 \nL 207.763886 128.566092 \nL 210.507815 124.830279 \nL 212.819372 121.096372 \nL 214.586855 117.478462 \nL 215.705468 114.103521 \nL 216.086689 111.102659 \nL 215.667975 108.59958 \nL 214.421253 106.697679 \nL 212.358592 105.467875 \nL 209.533656 104.939614 \nL 206.038308 105.097158 \nL 201.994617 105.88213 \nL 197.543652 107.201993 \nL 192.832967 108.942516 \nL 188.004868 110.981669 \nL 183.187081 113.202379 \nL 173.987266 117.798759 \nL 165.811293 122.163358 \nL 158.904873 126.049826 \nL 153.279885 129.437238 \nL 148.816541 132.414453 \nL 145.338282 135.097727 \nL 142.657077 137.58842 \nL 140.597007 139.958953 \nL 139.00438 142.253604 \nL 137.750246 144.495019 \nL 136.278248 147.773163 \nL 132.604778 156.919774 \nL 131.616912 158.787456 \nL 130.474857 160.589704 \nL 129.134628 162.324122 \nL 127.547637 163.986503 \nL 125.65888 165.568884 \nL 123.405474 167.056718 \nL 120.715795 168.424811 \nL 117.509775 169.631455 \nL 113.701312 170.610133 \nL 111.544018 170.983686 \nL 109.204477 171.258161 \nL 106.674034 171.412681 \nL 103.946152 171.422156 \nL 101.017431 171.256772 \nL 97.888916 170.881572 \nL 94.56769 170.256221 \nL 91.068787 169.335107 \nL 87.417388 168.067968 \nL 83.651206 166.40127 \nL 79.822881 164.280638 \nL 76.002076 161.654598 \nL 72.276846 158.479825 \nL 68.753636 154.727969 \nL 65.555296 150.393728 \nL 62.816374 145.503438 \nL 60.675338 140.122828 \nL 59.263763 134.36209 \nL 58.693368 128.376231 \nL 59.042587 122.358887 \nL 60.345072 116.529067 \nL 62.582679 111.111712 \nL 65.684839 106.315121 \nL 69.534872 102.309293 \nL 73.982199 99.20953 \nL 78.857957 97.068347 \nL 83.991033 95.876556 \nL 89.221792 95.572268 \nL 94.411826 96.054908 \nL 99.449227 97.20101 \nL 104.249883 98.878828 \nL 108.755828 100.960092 \nL 112.931842 103.328083 \nL 116.761282 105.88216 \nL 120.241902 108.539444 \nL 123.382068 111.234394 \nL 126.197569 113.917186 \nL 128.709057 116.55142 \nL 130.940081 119.111687 \nL 132.915614 121.581253 \nL 136.201082 126.212878 \nL 138.760194 130.416845 \nL 140.768578 134.205511 \nL 143.072674 139.178228 \nL 146.504731 146.986162 \nL 147.601833 149.053161 \nL 148.780797 150.878562 \nL 150.095687 152.466647 \nL 151.598918 153.813294 \nL 153.343729 154.905115 \nL 155.386052 155.718171 \nL 157.785605 156.216222 \nL 160.605858 156.348525 \nL 163.912293 156.047408 \nL 165.767824 155.707999 \nL 167.767955 155.226164 \nL 169.918778 154.587994 \nL 172.224842 153.778497 \nL 174.688506 152.781844 \nL 177.309154 151.581764 \nL 180.082243 150.162133 \nL 182.998188 148.507831 \nL 186.041097 146.605895 \nL 189.187395 144.447042 \nL 192.404407 142.027547 \nL 195.649043 139.351511 \nL 198.866741 136.433397 \nL 201.990933 133.300662 \nL 204.943318 129.99617 \nL 207.635286 126.579997 \nL 209.970794 123.129992 \nL 211.850878 119.740544 \nL 213.179823 116.519007 \nL 213.872637 113.579463 \nL 213.863147 111.034088 \nL 213.111677 108.982846 \nL 211.610991 107.502995 \nL 209.389332 106.640227 \nL 206.509689 106.40323 \nL 203.065158 106.762963 \nL 199.171002 107.656968 \nL 194.95472 108.99779 \nL 190.545734 110.683844 \nL 186.066215 112.610633 \nL 177.308983 116.809172 \nL 169.317198 120.995731 \nL 162.421399 124.849688 \nL 156.712493 128.277655 \nL 152.130386 131.318182 \nL 148.538391 134.060303 \nL 145.773056 136.594505 \nL 143.672816 138.991462 \nL 142.092217 141.297636 \nL 140.907382 143.538809 \nL 140.016608 145.726035 \nL 139.058502 148.908663 \nL 138.186307 152.950515 \nL 136.56373 161.080216 \nL 135.853168 163.494066 \nL 134.943988 165.777365 \nL 134.187559 167.235067 \nL 133.276861 168.647084 \nL 132.176244 170.018035 \nL 130.842613 171.351283 \nL 129.223732 172.647671 \nL 127.256407 173.903543 \nL 124.864672 175.107591 \nL 121.958355 176.235937 \nL 118.432681 177.244523 \nL 114.170298 178.057644 \nL 111.724257 178.354602 \nL 109.04814 178.551214 \nL 106.128259 178.620633 \nL 102.95335 178.529786 \nL 99.516049 178.238414 \nL 95.814848 177.698195 \nL 91.856571 176.852109 \nL 87.659449 175.634301 \nL 83.256748 173.970796 \nL 78.700813 171.781528 \nL 74.067241 168.984265 \nL 69.458538 165.501017 \nL 65.006415 161.267384 \nL 60.871444 156.244927 \nL 57.238683 150.435852 \nL 54.307929 143.898192 \nL 52.278051 136.758332 \nL 51.326077 129.216716 \nL 51.583727 121.542435 \nL 53.115819 114.054193 \nL 55.905891 107.088385 \nL 59.853425 100.95937 \nL 64.784435 95.920423 \nL 70.473235 92.134557 \nL 76.670283 89.661518 \nL 83.12971 88.46257 \nL 89.63126 88.419504 \nL 95.993913 89.361473 \nL 102.081115 91.092786 \nL 107.799366 93.416561 \nL 113.09269 96.151632 \nL 117.935294 99.142346 \nL 122.324095 102.262407 \nL 126.272072 105.414392 \nL 129.802872 108.526769 \nL 132.946669 111.54967 \nL 135.737141 114.450454 \nL 140.398272 119.817122 \nL 144.060492 124.569084 \nL 146.974007 128.725592 \nL 154.10007 139.311403 \nL 155.85826 141.388155 \nL 157.687318 143.093195 \nL 159.665371 144.432946 \nL 160.731427 144.964333 \nL 161.85885 145.401004 \nL 163.054408 145.740177 \nL 164.324267 145.978314 \nL 165.673936 146.111134 \nL 167.108184 146.133663 \nL 168.630901 146.040304 \nL 170.244929 145.824915 \nL 171.951828 145.480966 \nL 173.75159 145.001703 \nL 175.64231 144.380416 \nL 177.619782 143.610748 \nL 179.677063 142.687121 \nL 181.803996 141.605238 \nL 183.986711 140.362725 \nL 186.207133 138.959833 \nL 188.442574 137.400283 \nL 190.665389 135.692118 \nL 192.842855 133.848611 \nL 194.937291 131.889058 \nL 196.906528 129.839416 \nL 198.704806 127.732596 \nL 200.284148 125.608331 \nL 201.59626 123.512421 \nL 202.594872 121.495284 \nL 203.23844 119.609778 \nL 203.493002 117.908374 \nL 203.334911 116.439875 \nL 202.753126 115.245967 \nL 201.750747 114.358112 \nL 200.345556 113.795082 \nL 198.56938 113.56164 \nL 196.466364 113.648498 \nL 194.090261 114.033618 \nL 191.501124 114.684634 \nL 188.761753 115.562036 \nL 185.934288 116.622658 \nL 180.243414 119.121854 \nL 174.818718 121.874885 \nL 169.926862 124.660244 \nL 165.713777 127.350233 \nL 162.229607 129.890914 \nL 159.459845 132.273578 \nL 157.353155 134.510095 \nL 155.84233 136.616564 \nL 154.858336 138.60468 \nL 154.33882 140.478442 \nL 154.232652 142.233812 \nL 154.501901 143.859563 \nL 155.122211 145.338298 \nL 156.082275 146.64708 \nL 157.382763 147.757506 \nL 159.034881 148.635223 \nL 161.05849 149.23897 \nL 163.479561 149.519406 \nL 166.326507 149.418023 \nL 169.624749 148.866786 \nL 173.388632 147.789389 \nL 175.443858 147.028283 \nL 177.609748 146.105744 \nL 179.879061 145.012751 \nL 182.240886 143.741674 \nL 184.679923 142.287038 \nL 187.175768 140.646455 \nL 189.702226 138.821709 \nL 192.226758 136.819993 \nL 194.71014 134.655153 \nL 197.106465 132.34892 \nL 199.363601 129.931922 \nL 201.424257 127.444267 \nL 203.227757 124.935528 \nL 204.712559 122.463807 \nL 205.819499 120.093796 \nL 206.495586 117.89368 \nL 206.698036 115.931039 \nL 206.398133 114.268048 \nL 205.58443 112.956461 \nL 204.264729 112.033157 \nL 202.466543 111.516833 \nL 200.235765 111.406499 \nL 197.633738 111.682085 \nL 194.732995 112.306984 \nL 191.612315 113.232201 \nL 188.351682 114.401397 \nL 185.027732 115.755984 \nL 178.459151 118.801849 \nL 172.343947 122.000363 \nL 166.949254 125.11666 \nL 162.392803 128.040948 \nL 158.684903 130.749239 \nL 155.770861 133.261877 \nL 153.564363 135.613288 \nL 151.970142 137.834901 \nL 150.897708 139.948091 \nL 150.268704 141.963008 \nL 150.020155 143.880106 \nL 150.105278 145.692383 \nL 150.493 147.387331 \nL 151.166879 148.948173 \nL 152.123881 150.35429 \nL 153.373198 151.580925 \nL 154.935151 152.598217 \nL 156.840092 153.369667 \nL 159.127059 153.850165 \nL 161.841756 153.983702 \nL 165.033209 153.701086 \nL 168.74814 152.918323 \nL 170.813699 152.309073 \nL 173.021694 151.536821 \nL 175.372331 150.587631 \nL 177.862902 149.447529 \nL 180.486938 148.1031 \nL 183.23323 146.542291 \nL 186.084751 144.755484 \nL 189.017534 142.73684 \nL 191.999551 140.485944 \nL 194.989725 138.009693 \nL 197.937247 135.324352 \nL 200.781367 132.457598 \nL 203.451924 129.450281 \nL 205.870832 126.357566 \nL 207.954763 123.249019 \nL 209.619107 120.207166 \nL 210.783166 117.324222 \nL 211.376248 114.696807 \nL 211.34414 112.418922 \nL 210.655086 110.57379 \nL 209.304339 109.225733 \nL 207.316418 108.413356 \nL 204.744452 108.145418 \nL 201.666555 108.400211 \nL 198.179633 109.128753 \nL 194.391617 110.26107 \nL 190.413266 111.714526 \nL 186.350698 113.402514 \nL 178.340752 117.160703 \nL 170.943559 121.00899 \nL 164.487853 124.639497 \nL 159.091118 127.937065 \nL 154.729225 130.908017 \nL 151.300118 133.612736 \nL 148.669465 136.12136 \nL 146.698808 138.492051 \nL 145.260762 140.764424 \nL 144.245892 142.960771 \nL 143.564676 145.090267 \nL 143.146805 147.153471 \nL 142.939249 149.146002 \nL 142.903893 151.061141 \nL 143.120904 153.772232 \nL 143.627557 156.26687 \nL 144.124775 157.797275 \nL 144.759363 159.212213 \nL 145.547575 160.502335 \nL 146.512714 161.656039 \nL 147.685561 162.658297 \nL 149.105081 163.489125 \nL 150.819317 164.121615 \nL 152.886333 164.519396 \nL 155.374938 164.633372 \nL 158.364717 164.397596 \nL 161.94456 163.724371 \nL 166.208252 162.498958 \nL 168.624984 161.634799 \nL 171.244878 160.575218 \nL 174.075359 159.296935 \nL 177.120603 157.775102 \nL 180.380156 155.983947 \nL 183.847256 153.897805 \nL 187.506796 151.492684 \nL 191.333015 148.748461 \nL 195.286933 145.651844 \nL 199.31378 142.200121 \nL 203.340637 138.405681 \nL 207.274809 134.301005 \nL 211.003464 129.943655 \nL 214.3953 125.420366 \nL 217.304925 120.849072 \nL 219.580551 116.377413 \nL 221.075098 112.176378 \nL 221.660102 108.428323 \nL 221.240906 105.309688 \nL 219.770697 102.970447 \nL 217.260395 101.513801 \nL 213.781817 100.980738 \nL 209.462628 101.343422 \nL 204.473562 102.509626 \nL 199.010326 104.33736 \nL 193.273816 106.656075 \nL 187.452333 109.289501 \nL 176.171847 114.878846 \nL 161.59271 122.553805 \nL 150.592549 128.545763 \nL 145.097656 131.731158 \nL 140.803315 134.483003 \nL 137.456857 136.962919 \nL 134.824866 139.285013 \nL 132.705032 141.518224 \nL 130.927866 143.697078 \nL 127.126808 148.948686 \nL 124.790576 151.92111 \nL 123.046633 153.79391 \nL 121.075933 155.553475 \nL 118.816241 157.170837 \nL 116.207763 158.607861 \nL 113.193814 159.812847 \nL 111.518635 160.307129 \nL 109.723975 160.715029 \nL 107.805592 161.023675 \nL 105.760716 161.218202 \nL 103.588532 161.281585 \nL 101.29078 161.194528 \nL 98.872458 160.935453 \nL 96.342634 160.480626 \nL 93.715342 159.804501 \nL 91.010552 158.880314 \nL 88.255105 157.681059 \nL 85.483584 156.180874 \nL 82.738927 154.356942 \nL 80.072677 152.191877 \nL 77.544609 149.676595 \nL 75.221584 146.813494 \nL 73.175437 143.61965 \nL 71.479768 140.129655 \nL 70.205742 136.3975 \nL 69.417076 132.49697 \nL 69.164713 128.519986 \nL 69.4818 124.572668 \nL 70.379746 120.769126 \nL 71.846032 117.223582 \nL 73.844262 114.041779 \nL 76.316563 111.312837 \nL 79.188012 109.102865 \nL 82.372433 107.451109 \nL 85.778733 106.369173 \nL 89.316884 105.843006 \nL 92.902937 105.837128 \nL 96.462633 106.300188 \nL 99.93355 107.170861 \nL 103.26589 108.38337 \nL 106.422201 109.872125 \nL 109.376365 111.575197 \nL 112.112146 113.436572 \nL 114.621553 115.407418 \nL 116.90322 117.446479 \nL 118.960885 119.519869 \nL 120.80206 121.600501 \nL 122.436895 123.667285 \nL 123.877244 125.704274 \nL 125.13592 127.699798 \nL 127.160866 131.536446 \nL 128.614173 135.141555 \nL 129.588192 138.50705 \nL 130.160476 141.64044 \nL 130.392109 144.557115 \nL 130.327795 147.275608 \nL 129.9968 149.814723 \nL 129.414211 152.19178 \nL 128.582147 154.421448 \nL 127.490767 156.514825 \nL 126.119005 158.478411 \nL 124.435087 160.312771 \nL 122.396997 162.010523 \nL 119.953162 163.5534 \nL 117.043884 164.907916 \nL 115.394505 165.498459 \nL 113.604304 166.01929 \nL 111.665313 166.458892 \nL 109.570204 166.803276 \nL 107.312762 167.035632 \nL 104.888501 167.135962 \nL 102.295435 167.080758 \nL 99.535038 166.842741 \nL 96.613399 166.390743 \nL 93.542583 165.689836 \nL 90.342178 164.701786 \nL 87.040957 163.386033 \nL 83.67855 161.701321 \nL 80.306947 159.608178 \nL 76.991552 157.072351 \nL 73.811436 154.069254 \nL 70.85838 150.58929 \nL 68.234277 146.643668 \nL 66.046574 142.270027 \nL 64.401676 137.536807 \nL 63.396594 132.54518 \nL 63.10964 127.427327 \nL 63.591446 122.340209 \nL 64.857827 117.454893 \nL 66.886037 112.942417 \nL 69.615351 108.95826 \nL 72.952128 105.628075 \nL 76.778534 103.037152 \nL 80.963366 101.225391 \nL 85.373101 100.188131 \nL 89.881543 99.88211 \nL 94.376974 100.234776 \nL 98.766423 101.154954 \nL 102.977226 102.54308 \nL 106.956515 104.299783 \nL 110.669259 106.332137 \nL 114.0956 108.55764 \nL 117.227942 110.906115 \nL 120.068159 113.32006 \nL 122.625117 115.753957 \nL 124.912592 118.172967 \nL 126.947574 120.551338 \nL 128.748948 122.870796 \nL 130.336478 125.119024 \nL 132.949139 129.374636 \nL 134.937475 133.293832 \nL 136.437311 136.88385 \nL 137.564277 140.167205 \nL 138.758487 144.579687 \nL 139.568087 148.462659 \nL 141.908771 160.889678 \nL 142.627765 162.97392 \nL 143.552547 164.796824 \nL 144.323071 165.862659 \nL 145.250899 166.801046 \nL 146.371862 167.60035 \nL 147.729223 168.243259 \nL 149.375235 168.705 \nL 151.372743 168.950836 \nL 153.796655 168.932686 \nL 156.734874 168.584611 \nL 160.287936 167.817107 \nL 164.56596 166.51036 \nL 169.680523 164.50749 \nL 172.582846 163.184708 \nL 175.727612 161.610466 \nL 179.119215 159.754281 \nL 182.756003 157.584609 \nL 186.628004 155.07031 \nL 190.71421 152.182866 \nL 194.979451 148.899512 \nL 199.371023 145.207467 \nL 203.815337 141.109261 \nL 208.215099 136.629041 \nL 212.447694 131.81936 \nL 216.365736 126.767507 \nL 219.800825 121.59993 \nL 222.571453 116.482781 \nL 224.495667 111.616513 \nL 225.408095 107.222863 \nL 225.179705 103.523947 \nL 223.737255 100.715503 \nL 221.078295 98.938749 \nL 217.27761 98.257353 \nL 212.482561 98.645898 \nL 206.897358 99.993699 \nL 200.759381 102.123514 \nL 194.312804 104.82017 \nL 187.784891 107.861794 \nL 175.215311 114.21022 \nL 141.408599 131.961974 \nL 136.820417 134.610631 \nL 133.23481 136.953737 \nL 130.386591 139.125074 \nL 128.050502 141.201502 \nL 125.109085 144.207136 \nL 121.513638 148.006925 \nL 119.62001 149.776236 \nL 117.554319 151.419556 \nL 115.250937 152.898947 \nL 112.654556 154.167568 \nL 109.720865 155.166707 \nL 108.117431 155.542756 \nL 106.419824 155.822253 \nL 104.627571 155.992997 \nL 102.742096 156.041496 \nL 100.76712 155.952998 \nL 98.709123 155.711579 \nL 96.57785 155.30039 \nL 94.386841 154.702001 \nL 92.153958 153.898971 \nL 89.901857 152.874613 \nL 87.658345 151.614009 \nL 85.456554 150.105284 \nL 83.334835 148.341112 \nL 81.33626 146.320403 \nL 79.507675 144.050061 \nL 77.898227 141.546645 \nL 76.557318 138.837723 \nL 75.532099 135.962628 \nL 74.864588 132.972401 \nL 74.588685 129.928675 \nL 74.727388 126.90139 \nL 75.290534 123.965418 \nL 76.27343 121.19634 \nL 77.65658 118.665784 \nL 79.406612 116.436841 \nL 81.478321 114.560228 \nL 83.817571 113.071502 \nL 86.364706 111.989784 \nL 89.05806 111.317896 \nL 91.837199 111.043892 \nL 94.645605 111.143503 \nL 97.432677 111.583202 \nL 100.154957 112.323417 \nL 102.776676 113.321529 \nL 105.26974 114.53446 \nL 107.613279 115.920709 \nL 109.792925 117.441792 \nL 111.799928 119.063131 \nL 113.630229 120.754508 \nL 115.28355 122.490123 \nL 116.762552 124.24844 \nL 118.072079 126.011842 \nL 119.218506 127.766202 \nL 120.20919 129.50043 \nL 121.755054 132.876543 \nL 122.773097 136.095415 \nL 123.321665 139.135129 \nL 123.449248 141.98766 \nL 123.192168 144.652434 \nL 122.57384 147.131646 \nL 121.605004 149.42679 \nL 120.284584 151.535816 \nL 118.601011 153.450473 \nL 116.534074 155.153472 \nL 115.348791 155.916933 \nL 114.057554 156.615207 \nL 112.656788 157.242028 \nL 111.143126 157.789823 \nL 109.513668 158.249577 \nL 107.766264 158.610674 \nL 105.899895 158.860757 \nL 103.9151 158.985628 \nL 101.814485 158.969179 \nL 99.603327 158.793417 \nL 97.290243 158.438584 \nL 94.88792 157.883471 \nL 92.413897 157.105905 \nL 89.89132 156.083542 \nL 87.349632 154.794957 \nL 84.825087 153.221134 \nL 82.360958 151.347312 \nL 80.007329 149.1652 \nL 77.820277 146.675441 \nL 75.860351 143.89012 \nL 74.190218 140.835064 \nL 72.871556 137.551531 \nL 71.961235 134.096868 \nL 71.507141 130.543741 \nL 71.544075 126.977683 \nL 72.090222 123.492883 \nL 73.144763 120.186512 \nL 74.687053 117.152149 \nL 76.677563 114.47314 \nL 79.060541 112.216793 \nL 81.768023 110.430165 \nL 84.724634 109.13803 \nL 87.852554 108.343073 \nL 91.076051 108.028078 \nL 94.325168 108.159608 \nL 97.538308 108.69243 \nL 100.663733 109.574128 \nL 103.660053 110.749296 \nL 106.495944 112.163009 \nL 109.149331 113.763461 \nL 111.606224 115.503645 \nL 113.859444 117.342325 \nL 115.907321 119.244354 \nL 117.75249 121.180543 \nL 119.400799 123.12724 \nL 120.860383 125.06573 \nL 122.140876 126.981566 \nL 123.252784 128.86391 \nL 125.014246 132.499087 \nL 126.229454 135.934439 \nL 126.974555 139.157737 \nL 127.312651 142.171053 \nL 127.291966 144.983884 \nL 126.945569 147.608608 \nL 126.291943 150.057458 \nL 125.335914 152.34038 \nL 124.069684 154.463244 \nL 122.47388 156.426011 \nL 120.518708 158.220577 \nL 118.16544 159.827878 \nL 115.368692 161.214002 \nL 113.7889 161.80822 \nL 112.080227 162.325012 \nL 110.237246 162.753429 \nL 108.25536 163.080396 \nL 106.131261 163.290463 \nL 103.863486 163.365586 \nL 101.453113 163.284949 \nL 98.904568 163.024907 \nL 96.226593 162.559034 \nL 93.433313 161.858435 \nL 90.545414 160.892351 \nL 87.591339 159.629171 \nL 84.608402 158.037994 \nL 81.643674 156.090767 \nL 78.75444 153.765109 \nL 76.00795 151.047744 \nL 73.480227 147.93841 \nL 71.25368 144.453895 \nL 69.413339 140.631679 \nL 68.041778 136.532487 \nL 67.212998 132.240954 \nL 66.985832 127.863736 \nL 67.397753 123.524626 \nL 68.460052 119.356787 \nL 70.155317 115.49284 \nL 72.437805 112.054121 \nL 75.236794 109.140723 \nL 78.462425 106.823921 \nL 82.013122 105.142085 \nL 85.783412 104.100501 \nL 89.671074 103.67466 \nL 93.582827 103.816148 \nL 97.438154 104.459824 \nL 101.171256 105.531151 \nL 104.731416 106.952731 \nL 108.082179 108.649478 \nL 111.199763 110.55227 \nL 114.071117 112.600123 \nL 116.691876 114.741134 \nL 119.06444 116.932537 \nL 121.196246 119.140116 \nL 123.0983 121.337283 \nL 124.783973 123.503997 \nL 126.268034 125.625663 \nL 127.565891 127.69211 \nL 129.66454 131.635454 \nL 131.197659 135.309793 \nL 132.269514 138.716749 \nL 132.967207 141.871598 \nL 133.359938 144.795867 \nL 133.499881 147.513037 \nL 133.423788 150.046161 \nL 133.154773 152.416632 \nL 132.703951 154.643576 \nL 132.071734 156.743594 \nL 131.248735 158.730567 \nL 130.216236 160.615445 \nL 128.946261 162.40577 \nL 127.401324 164.104812 \nL 125.533966 165.710053 \nL 123.286284 167.210761 \nL 120.589819 168.584188 \nL 117.366414 169.789887 \nL 115.530678 170.310392 \nL 113.531107 170.761462 \nL 111.357103 171.128879 \nL 108.998807 171.395185 \nL 106.447717 171.539171 \nL 103.697505 171.535323 \nL 100.745085 171.353318 \nL 97.591933 170.957608 \nL 94.245736 170.307199 \nL 90.722348 169.355795 \nL 87.048019 168.05247 \nL 83.26182 166.343138 \nL 79.41805 164.173099 \nL 75.588323 161.490926 \nL 71.862847 158.253908 \nL 68.350303 154.435069 \nL 65.175625 150.031405 \nL 62.475004 145.07254 \nL 60.387744 139.628444 \nL 59.0451 133.814204 \nL 58.55707 127.789841 \nL 58.998878 121.753466 \nL 60.399697 115.927162 \nL 62.736087 110.536945 \nL 65.932048 105.789822 \nL 69.866051 101.852229 \nL 74.38385 98.834196 \nL 79.314444 96.782082 \nL 84.486144 95.680598 \nL 89.740085 95.462546 \nL 94.939602 96.023371 \nL 99.975089 97.237067 \nL 104.764919 98.970774 \nL 109.253513 101.096211 \nL 113.407778 103.49743 \nL 117.212861 106.075052 \nL 120.667947 108.747668 \nL 123.782504 111.451228 \nL 126.57314 114.137293 \nL 129.061092 116.77068 \nL 131.270309 119.327002 \nL 133.226019 121.790358 \nL 136.478302 126.405222 \nL 139.013022 130.589415 \nL 141.005488 134.35723 \nL 143.30029 139.298447 \nL 146.759645 147.042982 \nL 147.878477 149.087307 \nL 149.085611 150.888157 \nL 150.435489 152.448894 \nL 151.981064 153.76428 \nL 153.776221 154.819553 \nL 155.877552 155.589096 \nL 158.345296 156.034635 \nL 161.243054 156.103034 \nL 162.873509 155.974548 \nL 164.635647 155.723933 \nL 166.536934 155.339392 \nL 168.584052 154.807909 \nL 170.782468 154.115321 \nL 173.13588 153.246488 \nL 175.645536 152.185575 \nL 178.309391 150.916527 \nL 181.121115 149.423735 \nL 184.068931 147.692994 \nL 187.134323 145.712768 \nL 190.29067 143.475827 \nL 193.501864 140.981234 \nL 196.721106 138.23669 \nL 199.890023 135.261078 \nL 202.938425 132.086997 \nL 205.784958 128.762982 \nL 208.339015 125.354844 \nL 210.504143 121.945649 \nL 212.183098 118.633705 \nL 213.284403 115.528096 \nL 213.730031 112.741672 \nL 213.463313 110.381865 \nL 212.455999 108.540353 \nL 210.713195 107.28314 \nL 208.275093 106.642883 \nL 205.214879 106.615097 \nL 201.632951 107.159196 \nL 197.648289 108.204248 \nL 193.388414 109.658253 \nL 188.979516 111.419138 \nL 184.538096 113.385364 \nL 175.942144 117.579568 \nL 168.176332 121.695906 \nL 161.523744 125.459767 \nL 156.045282 128.805454 \nL 151.666027 131.782386 \nL 148.244705 134.480013 \nL 145.619084 136.984613 \nL 143.631644 139.361638 \nL 142.142003 141.653048 \nL 141.031441 143.881383 \nL 140.203033 146.055627 \nL 139.325282 149.216145 \nL 138.553803 153.221658 \nL 137.071847 162.045763 \nL 136.481785 164.36676 \nL 135.723529 166.557531 \nL 134.72737 168.635685 \nL 133.887824 169.96792 \nL 132.869694 171.26391 \nL 131.632163 172.5281 \nL 130.125432 173.76297 \nL 128.288849 174.967363 \nL 126.048944 176.133791 \nL 123.317623 177.244134 \nL 119.991073 178.262901 \nL 115.950482 179.126851 \nL 113.622198 179.469733 \nL 111.066672 179.729486 \nL 108.268121 179.882413 \nL 105.212327 179.898956 \nL 101.887896 179.742651 \nL 98.287952 179.369077 \nL 94.412368 178.72491 \nL 90.270595 177.747303 \nL 85.885149 176.363875 \nL 81.295697 174.493748 \nL 76.563562 172.050175 \nL 71.776225 168.945451 \nL 67.051065 165.098726 \nL 62.537245 160.447199 \nL 58.414239 154.960569 \nL 54.885408 148.657642 \nL 52.16531 141.622581 \nL 50.460438 134.016815 \nL 49.944903 126.081677 \nL 50.734779 118.127383 \nL 52.866661 110.506492 \nL 56.286385 103.574585 \nL 60.851896 97.645607 \nL 66.350496 92.952197 \nL 72.526479 89.620528 \nL 79.112413 87.664742 \nL 85.857097 87.000052 \nL 92.545491 87.468692 \nL 99.008938 88.870835 \nL 105.126854 90.993501 \nL 110.822404 93.632985 \nL 116.055038 96.609295 \nL 120.812124 99.77319 \nL 125.101166 103.007535 \nL 128.943283 106.224978 \nL 132.368135 109.363684 \nL 135.410194 112.382443 \nL 138.106094 115.255936 \nL 142.606604 120.521024 \nL 146.15163 125.134414 \nL 150.217511 130.921222 \nL 154.335611 136.823722 \nL 156.176825 139.108963 \nL 158.025465 140.993917 \nL 159.970565 142.494583 \nL 162.085674 143.613684 \nL 163.226398 144.027488 \nL 164.431423 144.341172 \nL 165.706453 144.551608 \nL 167.056376 144.655007 \nL 168.485184 144.646973 \nL 169.995829 144.522607 \nL 171.590051 144.276611 \nL 173.268149 143.903473 \nL 176.868321 142.753955 \nL 180.75859 141.035255 \nL 182.78889 139.954635 \nL 184.856693 138.725928 \nL 186.942711 137.35206 \nL 189.02344 135.839495 \nL 191.071023 134.198969 \nL 193.053312 132.446172 \nL 194.934188 130.602308 \nL 196.674211 128.694425 \nL 198.231663 126.755409 \nL 199.563979 124.823531 \nL 200.629583 122.94147 \nL 201.390043 121.15473 \nL 201.812399 119.509541 \nL 201.871514 118.05029 \nL 201.55215 116.816743 \nL 200.850587 115.841325 \nL 199.775489 115.146821 \nL 198.347921 114.74475 \nL 196.60041 114.63474 \nL 194.575158 114.80495 \nL 192.3216 115.233487 \nL 189.893555 115.89061 \nL 187.346304 116.741442 \nL 182.106688 118.875593 \nL 176.982601 121.353368 \nL 172.256756 123.949695 \nL 168.104824 126.517439 \nL 164.609629 128.979355 \nL 161.785842 131.306754 \nL 159.605154 133.497432 \nL 158.016971 135.558965 \nL 156.963359 137.498548 \nL 156.388741 139.318096 \nL 156.245608 141.012623 \nL 156.4974 142.570275 \nL 157.119539 143.972892 \nL 158.099268 145.196478 \nL 159.434718 146.211269 \nL 161.133359 146.981436 \nL 163.209806 147.464427 \nL 165.682733 147.61032 \nL 168.570482 147.361509 \nL 171.884743 146.653512 \nL 175.621632 145.417888 \nL 179.74951 143.588768 \nL 181.938825 142.434573 \nL 184.193438 141.114832 \nL 186.494284 139.628536 \nL 188.817378 137.97838 \nL 191.13342 136.171747 \nL 193.407574 134.221706 \nL 195.599539 132.147929 \nL 197.664009 129.977444 \nL 199.55159 127.745032 \nL 201.210289 125.49313 \nL 202.587567 123.271046 \nL 203.632941 121.133386 \nL 204.301001 119.137627 \nL 204.554619 117.340939 \nL 204.368018 115.796445 \nL 203.729369 114.549335 \nL 202.642516 113.633297 \nL 201.127522 113.067786 \nL 199.21992 112.856544 \nL 196.968648 112.987687 \nL 194.432951 113.435292 \nL 191.678585 114.162299 \nL 188.773791 115.124184 \nL 185.785524 116.272947 \nL 179.801601 118.943506 \nL 174.136211 121.843945 \nL 169.060507 124.744674 \nL 164.714827 127.520549 \nL 161.13872 130.125276 \nL 158.305861 132.558646 \nL 156.154 134.839677 \nL 154.606805 136.989666 \nL 153.588047 139.023781 \nL 153.029899 140.948324 \nL 152.877168 142.760919 \nL 153.088951 144.451834 \nL 153.638777 146.005272 \nL 154.513938 147.400189 \nL 155.714403 148.610489 \nL 157.251505 149.604544 \nL 159.146372 150.344165 \nL 161.427913 150.783187 \nL 164.129962 150.865906 \nL 167.286959 150.525846 \nL 170.927313 149.685583 \nL 172.933595 149.051152 \nL 175.063356 148.258948 \nL 177.313227 147.297892 \nL 179.676719 146.157548 \nL 182.143472 144.828744 \nL 184.698443 143.304422 \nL 187.321069 141.58064 \nL 189.984464 139.657808 \nL 192.654708 137.542055 \nL 195.29038 135.246717 \nL 197.842417 132.793797 \nL 200.254527 130.215219 \nL 202.464236 127.553675 \nL 204.40479 124.86275 \nL 206.007904 122.206049 \nL 207.207436 119.655099 \nL 207.943701 117.285906 \nL 208.168175 115.174236 \nL 207.848019 113.390015 \nL 206.969865 111.991443 \nL 205.542202 111.019674 \nL 203.595914 110.494898 \nL 201.18273 110.414601 \nL 198.371725 110.754355 \nL 195.2443 111.470959 \nL 191.888358 112.507483 \nL 188.39246 113.799264 \nL 184.840638 115.279956 \nL 177.860014 118.564032 \nL 171.410059 121.957705 \nL 165.761234 125.217839 \nL 161.020378 128.242135 \nL 157.180915 131.020181 \nL 154.170619 133.585666 \nL 151.887593 135.983415 \nL 150.223745 138.25195 \nL 149.078388 140.417185 \nL 148.365107 142.492209 \nL 148.014421 144.479704 \nL 147.974059 146.374851 \nL 148.208023 148.167722 \nL 148.695193 149.844889 \nL 149.427884 151.390124 \nL 150.41061 152.784362 \nL 151.6591 154.005004 \nL 153.199582 155.024657 \nL 155.068164 155.809329 \nL 157.31011 156.316172 \nL 159.978589 156.490778 \nL 163.132282 156.264247 \nL 166.83085 155.550501 \nL 168.901501 154.978914 \nL 171.126899 154.244832 \nL 173.510306 153.332534 \nL 176.052448 152.225678 \nL 178.750631 150.907794 \nL 181.597707 149.362991 \nL 184.58086 147.576963 \nL 187.680283 145.538325 \nL 190.867749 143.240326 \nL 194.105243 140.682929 \nL 197.343731 137.875231 \nL 200.522344 134.838082 \nL 203.568224 131.606656 \nL 206.397359 128.232611 \nL 208.916713 124.785318 \nL 211.027957 121.351577 \nL 212.632863 118.033195 \nL 213.640211 114.942047 \nL 213.973726 112.192516 \nL 213.580107 109.891832 \nL 212.435969 108.129452 \nL 210.552416 106.967155 \nL 207.976188 106.431749 \nL 204.78685 106.511989 \nL 201.090297 107.160505 \nL 197.009582 108.300466 \nL 192.67456 109.835505 \nL 188.211988 111.661082 \nL 183.737409 113.675074 \nL 175.127582 117.919042 \nL 167.397946 122.040527 \nL 160.808307 125.786272 \nL 155.401663 129.106743 \nL 151.091552 132.060415 \nL 147.7303 134.74027 \nL 145.15274 137.232897 \nL 143.200463 139.602682 \nL 141.733278 141.890211 \nL 140.633093 144.116853 \nL 139.803675 146.290796 \nL 138.904112 149.452632 \nL 138.06582 153.463068 \nL 136.622332 160.689077 \nL 135.927052 163.12661 \nL 135.041689 165.431522 \nL 133.885331 167.619816 \nL 132.914362 169.022204 \nL 131.740003 170.384511 \nL 130.31632 171.709388 \nL 128.587659 172.996399 \nL 126.486817 174.239698 \nL 123.933316 175.424371 \nL 120.832218 176.520735 \nL 117.074367 177.475585 \nL 112.53971 178.199152 \nL 109.942682 178.431678 \nL 107.106627 178.546382 \nL 104.019403 178.51239 \nL 100.672239 178.291969 \nL 97.061517 177.83962 \nL 93.191068 177.10135 \nL 89.07504 176.014337 \nL 84.741333 174.507328 \nL 80.235519 172.50218 \nL 75.625003 169.917091 \nL 71.002911 166.672105 \nL 66.490938 162.697451 \nL 62.240008 157.944897 \nL 58.427376 152.40174 \nL 55.2488 146.106039 \nL 52.90487 139.160365 \nL 51.581728 131.740173 \nL 51.428127 124.092486 \nL 52.532769 116.521528 \nL 54.907033 109.360811 \nL 58.47805 102.935418 \nL 63.094852 97.521854 \nL 68.546792 93.314866 \nL 74.589924 90.408688 \nL 80.975175 88.796073 \nL 87.47248 88.383071 \nL 93.887269 89.013938 \nL 100.068335 90.499116 \nL 105.908408 92.640589 \nL 111.339772 95.251115 \nL 116.327334 98.166264 \nL 120.861094 101.250116 \nL 124.949192 104.396031 \nL 128.612087 107.524333 \nL 131.878023 110.578431 \nL 134.779659 113.520385 \nL 137.351676 116.326649 \nL 141.64629 121.48826 \nL 145.029381 126.037828 \nL 148.90859 131.791893 \nL 152.836202 137.741337 \nL 154.593516 140.080866 \nL 156.361048 142.038028 \nL 158.226442 143.627894 \nL 160.263706 144.852676 \nL 161.366906 145.325353 \nL 162.53601 145.701806 \nL 163.777426 145.978748 \nL 165.096941 146.152146 \nL 166.499641 146.217252 \nL 167.989803 146.168653 \nL 169.570732 146.000355 \nL 171.244546 145.705903 \nL 173.011925 145.278547 \nL 174.871778 144.711458 \nL 176.820878 143.998022 \nL 178.85343 143.132224 \nL 180.960607 142.10912 \nL 183.130046 140.925424 \nL 185.34535 139.580194 \nL 187.585631 138.075629 \nL 189.825128 136.417926 \nL 192.03299 134.618192 \nL 194.173277 132.6933 \nL 196.205284 130.666611 \nL 198.084267 128.568424 \nL 199.762624 126.436049 \nL 201.191609 124.313292 \nL 202.323515 122.249291 \nL 203.11429 120.296622 \nL 203.526375 118.508656 \nL 203.531556 116.936411 \nL 203.113493 115.625089 \nL 202.269606 114.610735 \nL 201.012036 113.917464 \nL 199.367482 113.555613 \nL 197.375861 113.52119 \nL 195.087929 113.796683 \nL 192.562128 114.353105 \nL 189.861049 115.152965 \nL 187.047876 116.153715 \nL 181.322602 118.582934 \nL 175.799869 121.319112 \nL 170.772084 124.121059 \nL 166.407139 126.843649 \nL 162.770824 129.421179 \nL 159.858045 131.838872 \nL 157.621931 134.106726 \nL 155.996319 136.241351 \nL 154.911099 138.25601 \nL 154.301671 140.156516 \nL 154.114128 141.940507 \nL 154.307623 143.598213 \nL 154.854972 145.113501 \nL 155.742264 146.464645 \nL 156.967869 147.624506 \nL 158.541077 148.560165 \nL 160.480343 149.232026 \nL 162.810938 149.592644 \nL 165.561615 149.585563 \nL 168.759656 149.144651 \nL 172.423501 148.194854 \nL 174.430872 147.504007 \nL 176.551951 146.65571 \nL 178.78105 145.640406 \nL 181.109116 144.449605 \nL 183.523032 143.076598 \nL 186.004881 141.517291 \nL 188.531226 139.771258 \nL 191.072481 137.842896 \nL 193.592443 135.742711 \nL 196.048099 133.488584 \nL 198.389856 131.106931 \nL 200.5623 128.633524 \nL 202.505631 126.113806 \nL 204.157849 123.602431 \nL 205.457693 121.161797 \nL 206.348242 118.859476 \nL 206.780925 116.764526 \nL 206.719589 114.9429 \nL 206.144107 113.452414 \nL 205.053041 112.337846 \nL 203.464856 111.626955 \nL 201.417448 111.328067 \nL 198.965892 111.429638 \nL 196.178696 111.901973 \nL 193.133053 112.70075 \nL 189.909675 113.771794 \nL 186.587913 115.056331 \nL 179.936085 118.036514 \nL 173.655787 121.24202 \nL 168.054357 124.404262 \nL 163.280633 127.387324 \nL 159.364919 130.151983 \nL 156.263015 132.712453 \nL 153.892348 135.102727 \nL 152.157164 137.356492 \nL 150.964134 139.498158 \nL 150.230961 141.540705 \nL 149.890378 143.486858 \nL 149.891369 145.331349 \nL 150.198873 147.063028 \nL 150.792779 148.666298 \nL 151.666692 150.121776 \nL 152.826728 151.406163 \nL 154.290417 152.491436 \nL 156.085653 153.343483 \nL 158.249502 153.920196 \nL 160.826495 154.169235 \nL 163.865846 154.025647 \nL 167.416714 153.409877 \nL 169.397456 152.895855 \nL 171.520285 152.227116 \nL 173.787032 151.389828 \nL 176.197093 150.369814 \nL 178.746663 149.153024 \nL 181.427818 147.726203 \nL 184.227499 146.07778 \nL 187.126387 144.199061 \nL 190.097749 142.085679 \nL 193.106327 139.739373 \nL 196.107428 137.169966 \nL 199.046336 134.397478 \nL 201.858334 131.45416 \nL 204.469531 128.386115 \nL 206.798755 125.254173 \nL 208.760714 122.133476 \nL 210.270461 119.111455 \nL 211.249048 116.283767 \nL 211.629935 113.748283 \nL 211.365513 111.597404 \nL 210.432794 109.909638 \nL 208.837323 108.741597 \nL 206.614469 108.121901 \nL 203.827677 108.048147 \nL 200.563747 108.487691 \nL 196.925821 109.382133 \nL 193.02518 110.6547 \nL 188.973028 112.219011 \nL 184.873404 113.98777 \nL 176.882502 117.826691 \nL 169.592336 121.676997 \nL 163.28943 125.268599 \nL 158.058802 128.515182 \nL 153.855616 131.439364 \nL 150.566758 134.107803 \nL 148.053412 136.590985 \nL 146.176576 138.944837 \nL 144.810403 141.206165 \nL 143.847884 143.394871 \nL 143.202106 145.518458 \nL 142.805168 147.576528 \nL 142.606035 149.564334 \nL 142.601515 152.39952 \nL 142.88799 155.037495 \nL 143.438441 157.455275 \nL 143.9562 158.933608 \nL 144.607325 160.296509 \nL 145.410073 161.535017 \nL 146.38949 162.637729 \nL 147.577986 163.589588 \nL 149.016162 164.370332 \nL 150.753825 164.952479 \nL 152.851028 165.298705 \nL 155.37888 165.358451 \nL 158.41962 165.063632 \nL 162.065108 164.323492 \nL 166.412231 163.019055 \nL 168.878239 162.109139 \nL 171.552805 160.998549 \nL 174.443476 159.663091 \nL 177.55435 158.076956 \nL 180.884629 156.213408 \nL 184.426826 154.045905 \nL 188.164623 151.549776 \nL 192.070407 148.704583 \nL 196.102593 145.497305 \nL 200.202911 141.926361 \nL 204.293992 138.006411 \nL 208.277755 133.773655 \nL 212.03521 129.291037 \nL 215.428493 124.652382 \nL 218.305854 119.984166 \nL 220.5102 115.443375 \nL 221.8912 111.210022 \nL 222.320224 107.473684 \nL 221.70631 104.414582 \nL 220.010409 102.181627 \nL 217.254841 100.871519 \nL 213.525148 100.513764 \nL 208.96324 101.065723 \nL 203.752631 102.419453 \nL 198.098733 104.41888 \nL 192.208161 106.883041 \nL 186.27088 109.629893 \nL 174.864156 115.348639 \nL 160.281921 123.037262 \nL 149.376921 128.951667 \nL 143.953087 132.08004 \nL 139.719135 134.782649 \nL 136.415959 137.22254 \nL 133.807529 139.511926 \nL 131.690892 141.716879 \nL 129.07611 144.928881 \nL 125.174899 150.036249 \nL 123.49788 151.955807 \nL 121.64089 153.774336 \nL 119.538427 155.464913 \nL 117.129265 156.993336 \nL 114.356019 158.314593 \nL 111.166838 159.36822 \nL 109.402629 159.770192 \nL 107.519968 160.07273 \nL 105.516605 160.261399 \nL 103.392255 160.319771 \nL 101.14916 160.229347 \nL 98.792752 159.969558 \nL 96.332402 159.51794 \nL 93.782258 158.850476 \nL 91.162108 157.942213 \nL 88.498233 156.768198 \nL 85.824158 155.304821 \nL 83.181168 153.531596 \nL 80.618446 151.433384 \nL 78.192672 149.003023 \nL 75.96688 146.244215 \nL 74.008438 143.174392 \nL 72.386079 139.82719 \nL 71.166024 136.254084 \nL 70.407424 132.524612 \nL 70.157541 128.724809 \nL 70.447217 124.953581 \nL 71.287315 121.317082 \nL 72.666729 117.921648 \nL 74.552366 114.866017 \nL 76.89124 112.23401 \nL 79.614373 110.088644 \nL 82.641976 108.468557 \nL 85.88915 107.387024 \nL 89.271379 106.833569 \nL 92.709178 106.777583 \nL 96.131555 107.173196 \nL 99.478149 107.964592 \nL 102.700153 109.091083 \nL 105.760217 110.491445 \nL 108.631654 112.107215 \nL 111.297196 113.884976 \nL 113.747532 115.77766 \nL 115.979827 117.745073 \nL 117.996312 119.75384 \nL 119.803023 121.77696 \nL 121.408712 123.793135 \nL 122.823938 125.786008 \nL 124.060335 127.743386 \nL 126.045129 131.519321 \nL 127.458369 135.080607 \nL 128.386744 138.414892 \nL 128.903278 141.526028 \nL 129.065301 144.426316 \nL 128.914213 147.131591 \nL 128.476168 149.658152 \nL 127.76314 152.020735 \nL 126.77402 154.231077 \nL 125.49559 156.296617 \nL 123.903354 158.219036 \nL 121.962325 159.992338 \nL 119.628021 161.600107 \nL 116.848118 163.011622 \nL 115.273271 163.628987 \nL 113.565471 164.176486 \nL 111.717722 164.643575 \nL 109.723622 165.017489 \nL 107.577794 165.282949 \nL 105.276437 165.421849 \nL 102.817995 165.412998 \nL 100.204013 165.231896 \nL 97.440131 164.850665 \nL 94.537273 164.23815 \nL 91.512964 163.36034 \nL 88.392769 162.181183 \nL 85.211731 160.66398 \nL 82.015671 158.773441 \nL 78.86214 156.478556 \nL 75.820728 153.756301 \nL 72.972394 150.596083 \nL 70.407484 147.004665 \nL 68.222141 143.011015 \nL 66.512983 138.670319 \nL 65.370263 134.066156 \nL 64.870003 129.309857 \nL 65.066092 124.536262 \nL 65.983571 119.89566 \nL 67.61435 115.542558 \nL 69.916345 111.622631 \nL 72.816419 108.259917 \nL 76.216726 105.546435 \nL 80.003371 103.535843 \nL 84.055987 102.242037 \nL 88.256692 101.642366 \nL 92.497357 101.684374 \nL 96.684564 102.294481 \nL 100.742192 103.387063 \nL 104.611937 104.872597 \nL 108.252328 106.664163 \nL 111.636789 108.681969 \nL 114.751233 110.856012 \nL 117.591597 113.127234 \nL 120.161509 115.447456 \nL 122.470246 117.778621 \nL 124.531024 120.091599 \nL 126.359606 122.364843 \nL 127.973204 124.583012 \nL 130.626745 128.816593 \nL 132.631474 132.750824 \nL 134.115374 136.380995 \nL 135.188705 139.721858 \nL 135.94237 142.797139 \nL 136.448672 145.63358 \nL 136.862057 149.497968 \nL 136.970742 152.96542 \nL 136.84969 156.104476 \nL 136.532718 158.971444 \nL 136.021928 161.612588 \nL 135.29274 164.066599 \nL 134.294972 166.366505 \nL 133.443239 167.828267 \nL 132.406817 169.241096 \nL 131.146724 170.610285 \nL 129.614837 171.938523 \nL 127.752296 173.224275 \nL 125.487828 174.459103 \nL 122.736282 175.623398 \nL 119.397968 176.679699 \nL 115.359926 177.562544 \nL 113.040747 177.907241 \nL 110.501217 178.163496 \nL 107.727071 178.307608 \nL 104.705831 178.310231 \nL 101.428057 178.13544 \nL 97.889022 177.739821 \nL 94.090866 177.071693 \nL 90.045298 176.0707 \nL 85.776887 174.668024 \nL 81.326824 172.787634 \nL 76.757005 170.349091 \nL 72.153963 167.272448 \nL 67.631966 163.485855 \nL 63.334219 158.936078 \nL 59.430896 153.601818 \nL 56.112557 147.508589 \nL 53.578 140.742829 \nL 52.016391 133.461681 \nL 51.585253 125.894154 \nL 52.387665 118.330038 \nL 54.453613 111.095345 \nL 57.730463 104.516877 \nL 62.085948 98.882546 \nL 67.323711 94.406311 \nL 73.207883 91.205941 \nL 79.490955 89.297819 \nL 85.938913 88.608144 \nL 92.349498 88.995623 \nL 98.56202 90.278804 \nL 104.459537 92.262108 \nL 109.965549 94.756383 \nL 115.037638 97.592602 \nL 119.660074 100.628864 \nL 123.836755 103.752298 \nL 127.585155 106.877411 \nL 130.931532 109.942545 \nL 133.907314 112.905614 \nL 136.546497 115.739803 \nL 140.953607 120.968461 \nL 144.420786 125.590441 \nL 148.378422 131.451244 \nL 153.218971 138.784026 \nL 154.953852 140.992981 \nL 156.73232 142.829554 \nL 158.636493 144.304139 \nL 160.736323 145.414333 \nL 161.87875 145.828552 \nL 163.091931 146.145017 \nL 164.381958 146.359886 \nL 165.754284 146.468575 \nL 167.213621 146.465799 \nL 168.763806 146.345644 \nL 170.407599 146.101659 \nL 172.146446 145.726998 \nL 173.980174 145.214618 \nL 175.906635 144.55754 \nL 177.92129 143.749182 \nL 180.016745 142.783804 \nL 182.182246 141.657059 \nL 184.403162 140.366638 \nL 186.660483 138.913039 \nL 188.930378 137.300438 \nL 191.183874 135.537595 \nL 193.38674 133.638789 \nL 195.499643 131.624635 \nL 197.478681 129.522717 \nL 199.276389 127.36786 \nL 200.843227 125.201908 \nL 202.129615 123.072843 \nL 203.088453 121.033177 \nL 203.677967 119.13756 \nL 203.864685 117.439733 \nL 203.626241 115.989037 \nL 202.953662 114.826859 \nL 201.852806 113.98342 \nL 200.344719 113.475411 \nL 198.464749 113.304836 \nL 196.260542 113.459232 \nL 193.78905 113.913306 \nL 191.113 114.631635 \nL 188.297179 115.572153 \nL 185.404961 116.68976 \nL 179.621044 119.280536 \nL 174.148452 122.094792 \nL 169.244787 124.916384 \nL 165.044968 127.625631 \nL 161.588955 130.176064 \nL 158.854153 132.564417 \nL 156.78346 134.805857 \nL 155.305928 136.918132 \nL 154.350334 138.913578 \nL 153.853243 140.796313 \nL 153.763176 142.562256 \nL 154.042325 144.200157 \nL 154.666752 145.692705 \nL 155.625762 147.017171 \nL 156.920808 148.145477 \nL 158.56406 149.043651 \nL 160.576612 149.670801 \nL 162.986054 149.977845 \nL 165.822984 149.906251 \nL 169.115777 149.387425 \nL 172.882733 148.343626 \nL 174.944247 147.598956 \nL 177.120574 146.691962 \nL 179.405298 145.612967 \nL 181.788386 144.353534 \nL 184.255444 142.907211 \nL 186.786957 141.270474 \nL 189.357554 139.443831 \nL 191.935373 137.433078 \nL 194.481629 135.250626 \nL 196.950514 132.916833 \nL 199.28952 130.461137 \nL 201.440417 127.922822 \nL 203.340908 125.351167 \nL 204.927116 122.804723 \nL 206.136828 120.349501 \nL 206.913394 118.055976 \nL 207.209959 115.994938 \nL 206.993627 114.232526 \nL 206.248998 112.824931 \nL 204.980556 111.813464 \nL 203.213442 111.220802 \nL 200.992394 111.049063 \nL 198.378882 111.280023 \nL 195.446818 111.877568 \nL 192.277386 112.791883 \nL 188.953687 113.964716 \nL 185.55585 115.334811 \nL 178.820892 118.435346 \nL 172.534176 121.701741 \nL 166.979215 124.883456 \nL 162.281884 127.863259 \nL 158.4544 130.615943 \nL 155.440176 133.164011 \nL 153.149133 135.545216 \nL 151.481588 137.794214 \nL 150.342655 139.935017 \nL 149.649898 141.979796 \nL 149.336676 143.930564 \nL 149.352924 145.781658 \nL 149.664596 147.521878 \nL 150.252513 149.135931 \nL 151.111075 150.605018 \nL 152.247056 151.906694 \nL 153.67857 153.014013 \nL 155.434127 153.894125 \nL 157.551607 154.506358 \nL 160.076817 154.799888 \nL 163.061052 154.711215 \nL 166.556871 154.161851 \nL 168.511693 153.685442 \nL 170.610834 153.057119 \nL 172.857232 152.262758 \nL 175.251623 151.287698 \nL 177.791788 150.117135 \nL 180.471649 148.736733 \nL 183.280244 147.133455 \nL 186.200586 145.296671 \nL 189.20844 143.219583 \nL 192.271117 140.900959 \nL 195.346391 138.347158 \nL 198.381701 135.57434 \nL 201.313871 132.610699 \nL 204.069597 129.49843 \nL 206.566983 126.295015 \nL 208.718326 123.073415 \nL 210.434348 119.920601 \nL 211.629735 116.934074 \nL 212.229735 114.216198 \nL 212.177133 111.866561 \nL 211.438728 109.97313 \nL 210.010245 108.603384 \nL 207.918702 107.796969 \nL 205.221609 107.561288 \nL 202.002879 107.871026 \nL 198.365998 108.671843 \nL 194.425531 109.887457 \nL 190.298265 111.42879 \nL 186.095238 113.20348 \nL 177.842582 117.114721 \nL 170.261842 121.075159 \nL 163.678001 124.776638 \nL 158.196598 128.113871 \nL 153.779649 131.105203 \nL 150.312599 133.820935 \nL 147.65107 136.337908 \nL 145.648923 138.718188 \nL 144.172971 141.003405 \nL 143.109282 143.216848 \nL 142.364619 145.368251 \nL 141.86531 147.45869 \nL 141.457069 150.471419 \nL 141.345934 153.31912 \nL 141.45588 155.982706 \nL 141.751661 158.446811 \nL 142.228956 160.699199 \nL 142.908995 162.728119 \nL 143.496327 163.949418 \nL 144.213023 165.058628 \nL 145.084396 166.047115 \nL 146.142264 166.902834 \nL 147.426043 167.609003 \nL 148.984038 168.142345 \nL 150.874881 168.470713 \nL 153.16892 168.549942 \nL 155.949245 168.319657 \nL 159.311684 167.697954 \nL 163.3626 166.574987 \nL 168.21245 164.806225 \nL 170.969387 163.623682 \nL 173.961738 162.207423 \nL 177.196161 160.528415 \nL 180.674361 158.556094 \nL 184.391112 156.259463 \nL 188.331823 153.608853 \nL 192.469695 150.578493 \nL 196.76252 147.150049 \nL 201.149377 143.31723 \nL 205.547515 139.091481 \nL 209.850058 134.508399 \nL 213.925266 129.63429 \nL 217.618361 124.571684 \nL 220.756917 119.462203 \nL 223.160611 114.484745 \nL 224.655537 109.847097 \nL 225.092263 105.769817 \nL 224.365395 102.46307 \nL 222.431163 100.099302 \nL 219.318941 98.787236 \nL 215.13312 98.553526 \nL 210.043876 99.337529 \nL 204.268121 101.001392 \nL 198.044737 103.352915 \nL 191.60933 106.175323 \nL 185.173439 109.256558 \nL 172.952698 115.498076 \nL 143.36243 131.061698 \nL 138.448231 133.848475 \nL 134.616111 136.281372 \nL 131.593268 138.51106 \nL 129.144558 140.628908 \nL 126.129469 143.687302 \nL 121.671516 148.497642 \nL 119.777705 150.272476 \nL 117.699828 151.919369 \nL 115.373389 153.400403 \nL 112.74344 154.668459 \nL 109.76548 155.664013 \nL 108.135759 156.036679 \nL 106.409019 156.311374 \nL 104.584754 156.475535 \nL 102.664397 156.515237 \nL 100.65174 156.415211 \nL 98.553424 156.158943 \nL 96.379477 155.728911 \nL 94.143874 155.106959 \nL 91.865087 154.274887 \nL 89.566608 153.21525 \nL 87.277312 151.912444 \nL 85.031654 150.354036 \nL 82.869551 148.532379 \nL 80.835857 146.446387 \nL 78.979356 144.103421 \nL 77.351164 141.52103 \nL 76.002581 138.728371 \nL 74.982392 135.767002 \nL 74.333809 132.690755 \nL 74.09133 129.564476 \nL 74.277802 126.461534 \nL 74.902113 123.460151 \nL 75.957829 120.638869 \nL 77.423035 118.071564 \nL 79.261462 115.822678 \nL 81.424762 113.943198 \nL 83.855681 112.467945 \nL 86.491702 111.414367 \nL 89.268754 110.782945 \nL 92.124554 110.558952 \nL 95.00135 110.715219 \nL 97.847877 111.215432 \nL 100.620529 112.017505 \nL 103.283805 113.076726 \nL 105.810187 114.348383 \nL 108.179585 115.789803 \nL 110.37853 117.361751 \nL 112.39922 119.029247 \nL 114.238532 120.761949 \nL 115.897089 122.534159 \nL 117.378378 124.324579 \nL 118.687991 126.115939 \nL 119.832963 127.894508 \nL 120.821231 129.649614 \nL 122.361272 133.059156 \nL 123.374628 136.302956 \nL 123.921746 139.361831 \nL 124.052477 142.2301 \nL 123.803941 144.90916 \nL 123.199929 147.402964 \nL 122.251218 149.714658 \nL 120.956447 151.843875 \nL 119.303379 153.784187 \nL 117.270641 155.520362 \nL 114.830127 157.025166 \nL 113.447181 157.678057 \nL 111.950598 158.255419 \nL 110.336879 158.748594 \nL 108.603167 159.147318 \nL 106.747589 159.439557 \nL 104.76968 159.611371 \nL 102.670884 159.646821 \nL 100.455143 159.52793 \nL 98.129578 159.234767 \nL 95.705236 158.745654 \nL 93.197911 158.03759 \nL 90.628965 157.086944 \nL 88.026114 155.870461 \nL 85.424086 154.366663 \nL 82.865 152.55765 \nL 80.398369 150.431321 \nL 78.080511 147.98393 \nL 75.973267 145.222794 \nL 74.141829 142.168919 \nL 72.651739 138.859123 \nL 71.565033 135.347245 \nL 70.935881 131.703939 \nL 70.806086 128.014729 \nL 71.201011 124.376142 \nL 72.126537 120.890092 \nL 73.567589 117.657035 \nL 75.48854 114.76876 \nL 77.835535 112.30171 \nL 80.540407 110.311892 \nL 83.525679 108.831953 \nL 86.7099 107.870744 \nL 90.012706 107.415134 \nL 93.359006 107.433636 \nL 96.682069 107.881049 \nL 99.925377 108.703416 \nL 103.043367 109.842696 \nL 106.001268 111.24071 \nL 108.774309 112.842114 \nL 111.346524 114.596437 \nL 113.709393 116.459254 \nL 115.86045 118.392611 \nL 117.80196 120.36496 \nL 119.539747 122.350732 \nL 121.082177 124.329701 \nL 122.4393 126.286289 \nL 123.622167 128.208819 \nL 125.511101 131.920558 \nL 126.839139 135.425615 \nL 127.688026 138.711287 \nL 128.126213 141.780338 \nL 128.206868 144.643614 \nL 127.967594 147.315285 \nL 127.431038 149.809776 \nL 126.605867 152.139661 \nL 125.487814 154.314063 \nL 124.060668 156.337123 \nL 122.297219 158.206189 \nL 120.160317 159.909458 \nL 117.604407 161.422665 \nL 114.578091 162.704548 \nL 112.871915 163.239743 \nL 111.028615 163.690795 \nL 109.042653 164.044816 \nL 106.909638 164.286477 \nL 104.626874 164.397736 \nL 102.194052 164.357618 \nL 99.614071 164.142067 \nL 96.894021 163.723942 \nL 94.046316 163.073212 \nL 91.089939 162.157461 \nL 88.051763 160.942807 \nL 84.967834 159.395356 \nL 81.884474 157.483319 \nL 78.858981 155.179829 \nL 75.959695 152.466526 \nL 73.265054 149.337753 \nL 70.861437 145.805011 \nL 68.839483 141.901234 \nL 67.288907 137.6841 \nL 66.292028 133.237451 \nL 65.916521 128.670057 \nL 66.208385 124.111068 \nL 67.186157 119.702119 \nL 68.837493 115.586808 \nL 71.11889 111.898768 \nL 73.958819 108.750333 \nL 77.263763 106.223527 \nL 80.92624 104.364865 \nL 84.833465 103.184463 \nL 88.875404 102.659271 \nL 92.951259 102.739341 \nL 96.973871 103.355705 \nL 100.872025 104.428551 \nL 104.590928 105.874569 \nL 108.091324 107.612785 \nL 111.347759 109.568685 \nL 114.346421 111.676652 \nL 117.082891 113.881039 \nL 119.560019 116.136189 \nL 121.786036 118.405783 \nL 123.772961 120.661795 \nL 125.535299 122.883272 \nL 127.089 125.055114 \nL 128.450665 127.166949 \nL 130.66404 131.186867 \nL 132.301872 134.920213 \nL 133.476235 138.370901 \nL 134.281181 141.556595 \nL 134.792214 144.500989 \nL 135.067439 147.229406 \nL 135.149465 149.766473 \nL 135.0675 152.134958 \nL 134.839286 154.355325 \nL 134.472712 156.44565 \nL 133.966999 158.421721 \nL 133.313461 160.297174 \nL 132.495827 162.083569 \nL 131.490172 163.790293 \nL 130.264471 165.42421 \nL 128.777858 166.988886 \nL 126.979646 168.483211 \nL 124.808282 169.899095 \nL 122.190531 171.217817 \nL 119.0414 172.404436 \nL 115.265801 173.399441 \nL 113.111735 173.796909 \nL 110.763611 174.10676 \nL 108.209964 174.308598 \nL 105.440956 174.377476 \nL 102.449388 174.283211 \nL 99.232024 173.98973 \nL 95.791271 173.454548 \nL 92.137259 172.628521 \nL 88.290324 171.456067 \nL 84.283833 169.876142 \nL 80.167238 167.824311 \nL 76.009021 165.236296 \nL 71.899095 162.053371 \nL 67.949972 158.229809 \nL 64.295824 153.742342 \nL 61.088486 148.600925 \nL 58.489626 142.859475 \nL 56.658811 136.624331 \nL 55.738065 130.057715 \nL 55.834795 123.37345 \nL 57.006 116.823318 \nL 59.247288 110.674554 \nL 62.489724 105.181661 \nL 66.605783 100.557877 \nL 71.42359 96.952344 \nL 76.746306 94.437665 \nL 82.372615 93.009678 \nL 88.114476 92.598005 \nL 93.80971 93.083729 \nL 99.328644 94.319528 \nL 104.575531 96.148449 \nL 109.486152 98.418702 \nL 114.023259 100.993647 \nL 118.171192 103.75708 \nL 121.93062 106.614912 \nL 125.313911 109.494218 \nL 128.341343 112.340873 \nL 131.038151 115.116498 \nL 133.432315 117.795315 \nL 137.429207 122.805602 \nL 140.560752 127.318663 \nL 143.036976 131.342602 \nL 145.91491 136.538905 \nL 148.934697 142.11275 \nL 150.341549 144.394599 \nL 151.794544 146.368855 \nL 153.365443 148.045022 \nL 155.119112 149.42203 \nL 157.116424 150.48749 \nL 158.224862 150.896216 \nL 159.416126 151.216822 \nL 160.697318 151.444152 \nL 162.075383 151.572141 \nL 163.557018 151.593804 \nL 165.148542 151.501212 \nL 166.855703 151.28551 \nL 168.683429 150.936965 \nL 170.635506 150.445051 \nL 172.714169 149.798616 \nL 174.919605 148.986131 \nL 177.249354 147.996055 \nL 179.697604 146.81736 \nL 182.2544 145.440196 \nL 184.904761 143.856807 \nL 187.627779 142.062628 \nL 190.395702 140.057627 \nL 193.173159 137.84782 \nL 195.916594 135.446939 \nL 198.574089 132.878061 \nL 201.085747 130.175052 \nL 203.384825 127.383552 \nL 205.399773 124.56116 \nL 207.057288 121.776516 \nL 208.286331 119.106985 \nL 209.022958 116.634791 \nL 209.215529 114.441738 \nL 208.829725 112.602915 \nL 207.8527 111.180097 \nL 206.29562 110.21586 \nL 204.19408 109.729359 \nL 201.606163 109.714622 \nL 198.608311 110.141765 \nL 195.289574 110.960834 \nL 191.74507 112.107727 \nL 188.069542 113.511012 \nL 184.351793 115.098607 \nL 177.09174 118.567234 \nL 170.437196 122.0957 \nL 164.650852 125.44391 \nL 159.823957 128.521927 \nL 155.932956 131.333072 \nL 152.890593 133.922124 \nL 150.582979 136.341375 \nL 148.892945 138.633794 \nL 147.71307 140.827724 \nL 146.951873 142.937658 \nL 146.535873 144.967322 \nL 146.409367 146.913059 \nL 146.533111 148.766533 \nL 146.882626 150.516521 \nL 147.446564 152.149803 \nL 148.225336 153.651317 \nL 149.230107 155.003673 \nL 150.48216 156.186166 \nL 152.012554 157.173309 \nL 153.861952 157.932883 \nL 156.08039 158.423497 \nL 158.726583 158.591622 \nL 161.866196 158.368243 \nL 165.568088 157.665446 \nL 167.650602 157.100953 \nL 169.89707 156.373862 \nL 172.312868 155.467157 \nL 174.901076 154.362799 \nL 177.661595 153.042136 \nL 180.590038 151.486551 \nL 183.676451 149.678421 \nL 186.903822 147.602436 \nL 190.246459 145.247346 \nL 193.668307 142.608198 \nL 197.121351 139.689004 \nL 200.544339 136.505771 \nL 203.862112 133.089689 \nL 206.985927 129.490054 \nL 209.815177 125.776394 \nL 212.240903 122.03908 \nL 214.15134 118.387644 \nL 215.439448 114.946122 \nL 216.012009 111.845128 \nL 215.799311 109.21099 \nL 214.764062 107.153042 \nL 212.907889 105.751134 \nL 210.273943 105.04564 \nL 206.944742 105.032303 \nL 203.035291 105.663182 \nL 198.682555 106.853685 \nL 194.033154 108.49421 \nL 189.231291 110.46389 \nL 184.408748 112.643754 \nL 175.128403 117.22686 \nL 166.815181 121.6339 \nL 159.752319 125.581685 \nL 153.975985 129.026821 \nL 149.379081 132.048939 \nL 145.789913 134.763291 \nL 143.020824 137.273933 \nL 140.894049 139.656885 \nL 139.253178 141.959583 \nL 137.966434 144.20696 \nL 136.46937 147.493105 \nL 132.381842 157.614967 \nL 131.358418 159.458233 \nL 130.168106 161.235717 \nL 128.765998 162.944843 \nL 127.101943 164.580743 \nL 125.118825 166.134094 \nL 122.751226 167.587999 \nL 119.924815 168.913469 \nL 116.557086 170.062933 \nL 114.64293 170.549531 \nL 112.56061 170.961099 \nL 110.299674 171.281869 \nL 107.850699 171.492619 \nL 105.205985 171.570131 \nL 102.360483 171.486654 \nL 99.312978 171.209423 \nL 96.067552 170.700322 \nL 92.635373 169.915806 \nL 89.03679 168.807257 \nL 85.30367 167.322 \nL 81.481843 165.405223 \nL 77.633408 163.003128 \nL 73.83852 160.067515 \nL 70.1961 156.561969 \nL 66.822829 152.469522 \nL 63.849717 147.801222 \nL 61.415656 142.604581 \nL 59.65782 136.970167 \nL 58.699373 131.034355 \nL 58.635835 124.9762 \nL 59.522264 119.007185 \nL 61.363869 113.354098 \nL 64.11236 108.2371 \nL 67.669292 103.846893 \nL 71.896026 100.325291 \nL 76.628402 97.753127 \nL 81.693125 96.147349 \nL 86.922942 95.466968 \nL 92.16835 95.625414 \nL 97.304859 96.506165 \nL 102.235916 97.978314 \nL 106.892338 99.90986 \nL 111.229493 102.177457 \nL 115.223296 104.672488 \nL 118.865928 107.303851 \nL 122.161792 109.99834 \nL 125.124037 112.699408 \nL 127.771706 115.365076 \nL 130.127516 117.965479 \nL 132.216174 120.480444 \nL 135.693735 125.20906 \nL 138.402993 129.508509 \nL 140.52537 133.385188 \nL 142.946125 138.471946 \nL 147.027726 147.536 \nL 148.163293 149.522385 \nL 149.400322 151.266653 \nL 150.792694 152.770193 \nL 152.393423 154.025613 \nL 154.256922 155.0157 \nL 156.440612 155.712004 \nL 159.005606 156.072921 \nL 162.016055 156.041416 \nL 163.70859 155.855883 \nL 165.536411 155.542713 \nL 167.506649 155.089529 \nL 169.625454 154.482757 \nL 171.897509 153.707748 \nL 174.325422 152.748993 \nL 176.908962 151.590498 \nL 179.64415 150.216339 \nL 182.522185 148.611462 \nL 185.528213 146.762784 \nL 188.639999 144.660633 \nL 191.826533 142.300549 \nL 195.046718 139.685453 \nL 198.248295 136.828105 \nL 201.367226 133.753673 \nL 204.327856 130.50217 \nL 207.044123 127.130302 \nL 209.422156 123.712242 \nL 211.364473 120.338699 \nL 212.775786 117.113789 \nL 213.570172 114.149321 \nL 213.678967 111.556689 \nL 213.058423 109.436971 \nL 211.695896 107.870567 \nL 209.613332 106.908171 \nL 206.867217 106.56478 \nL 203.544644 106.818178 \nL 199.756026 107.612308 \nL 195.625613 108.864917 \nL 191.281341 110.477881 \nL 186.845554 112.348259 \nL 182.427745 114.378126 \nL 173.994231 118.590604 \nL 166.482704 122.636369 \nL 160.115103 126.298988 \nL 154.912374 129.548601 \nL 150.778458 132.449702 \nL 147.563944 135.093641 \nL 145.10615 137.562477 \nL 143.251021 139.915839 \nL 141.863271 142.19051 \nL 140.829585 144.405217 \nL 140.058083 146.566524 \nL 139.237605 149.706319 \nL 138.507109 153.680175 \nL 137.04016 162.417091 \nL 136.440826 164.713855 \nL 135.667575 166.882494 \nL 134.649561 168.940954 \nL 133.790671 170.26148 \nL 132.748423 171.546859 \nL 131.48093 172.80139 \nL 129.93707 174.02725 \nL 128.054584 175.222709 \nL 125.758107 176.379279 \nL 122.957396 177.477151 \nL 119.546365 178.478063 \nL 115.404146 179.314329 \nL 113.018189 179.637645 \nL 110.400398 179.872531 \nL 107.535202 179.993876 \nL 104.408871 179.970426 \nL 101.010877 179.763727 \nL 97.335724 179.327072 \nL 93.385318 178.604617 \nL 89.171995 177.530867 \nL 84.722165 176.030863 \nL 80.080561 174.021579 \nL 75.314827 171.415048 \nL 70.519931 168.123976 \nL 65.821601 164.07041 \nL 61.377535 159.197863 \nL 57.374827 153.486559 \nL 54.022029 146.97035 \nL 51.534684 139.752436 \nL 50.114439 132.015467 \nL 49.923777 124.021109 \nL 51.060701 116.094973 \nL 53.539212 108.59622 \nL 57.281338 101.875685 \nL 62.123895 96.231149 \nL 67.839087 91.870408 \nL 74.163988 88.890736 \nL 80.831768 87.278516 \nL 87.59808 86.926513 \nL 94.25858 87.662044 \nL 100.656764 89.278215 \nL 106.683791 91.561601 \nL 112.273017 94.312742 \nL 117.392042 97.358587 \nL 122.034342 100.557864 \nL 126.211725 103.801263 \nL 129.94816 107.008398 \nL 133.275055 110.123255 \nL 136.227827 113.109237 \nL 141.159076 118.618047 \nL 145.031968 123.47088 \nL 148.11115 127.68952 \nL 154.693797 137.097931 \nL 156.535326 139.322883 \nL 158.397223 141.149394 \nL 160.366244 142.591702 \nL 162.513971 143.650811 \nL 163.673678 144.033492 \nL 164.899143 144.315052 \nL 166.195795 144.492192 \nL 167.568223 144.560982 \nL 169.020063 144.51691 \nL 170.553859 144.355001 \nL 172.170867 144.06995 \nL 175.651653 143.108654 \nL 179.436622 141.592186 \nL 181.424454 140.616064 \nL 183.459765 139.492356 \nL 185.525992 138.222109 \nL 187.602566 136.809398 \nL 189.664685 135.262058 \nL 191.683234 133.592382 \nL 193.624932 131.817781 \nL 195.452762 129.961244 \nL 197.126734 128.051586 \nL 198.605049 126.12328 \nL 199.845656 124.215851 \nL 200.80818 122.372712 \nL 201.456117 120.63942 \nL 201.759179 119.061426 \nL 201.695526 117.681461 \nL 201.253716 116.536773 \nL 200.43405 115.656552 \nL 199.249187 115.059853 \nL 197.72383 114.754295 \nL 195.893531 114.735781 \nL 193.802685 114.989238 \nL 191.501961 115.490299 \nL 189.04544 116.207657 \nL 186.487758 117.105812 \nL 181.275326 119.297563 \nL 176.228086 121.792104 \nL 171.60989 124.378055 \nL 167.579729 126.921135 \nL 164.208133 129.353252 \nL 161.502067 131.650784 \nL 159.42934 133.813405 \nL 157.93823 135.848597 \nL 156.971428 137.762501 \nL 156.474996 139.555661 \nL 156.40354 141.221729 \nL 156.722757 142.747605 \nL 157.41024 144.114 \nL 158.455188 145.295816 \nL 159.857355 146.262153 \nL 161.625392 146.975956 \nL 163.774486 147.39336 \nL 166.323043 147.463094 \nL 169.287949 147.126389 \nL 172.677791 146.318151 \nL 176.483342 144.97053 \nL 180.66477 143.020426 \nL 182.871738 141.804141 \nL 185.135659 140.422746 \nL 187.435537 138.876781 \nL 189.745332 137.170865 \nL 192.033631 135.314671 \nL 194.263561 133.323901 \nL 196.393 131.221121 \nL 198.375226 129.036372 \nL 200.160065 126.807364 \nL 201.695586 124.579103 \nL 202.930372 122.402794 \nL 203.816272 120.333947 \nL 204.311481 118.429632 \nL 204.383691 116.745115 \nL 204.012943 115.330046 \nL 203.193876 114.22473 \nL 201.936955 113.456897 \nL 200.268501 113.039474 \nL 198.229388 112.969788 \nL 195.872575 113.230239 \nL 193.259711 113.790421 \nL 190.457266 114.610359 \nL 187.532626 115.644311 \nL 184.550563 116.844632 \nL 178.644041 119.564154 \nL 173.117052 122.460116 \nL 168.211327 125.326637 \nL 164.044179 128.057164 \nL 160.640087 130.616551 \nL 157.964625 133.009333 \nL 155.952551 135.255131 \nL 154.527836 137.373726 \nL 153.61646 139.378072 \nL 153.153739 141.27227 \nL 153.087962 143.052058 \nL 153.381695 144.706108 \nL 154.011736 146.217222 \nL 154.968358 147.563004 \nL 156.254158 148.715897 \nL 157.882685 149.642558 \nL 159.876745 150.30274 \nL 162.266172 150.647869 \nL 165.084595 150.619561 \nL 168.364539 150.148675 \nL 172.129932 149.155701 \nL 174.19714 148.436469 \nL 176.384919 147.554046 \nL 178.688079 146.497855 \nL 181.097913 145.258311 \nL 183.601416 143.82757 \nL 186.180481 142.200462 \nL 188.811072 140.375591 \nL 191.462504 138.356652 \nL 194.096859 136.153837 \nL 196.668726 133.785303 \nL 199.125358 131.278479 \nL 201.407439 128.671111 \nL 203.450594 126.011671 \nL 205.187756 123.358949 \nL 206.552405 120.780497 \nL 207.482552 118.349805 \nL 207.925253 116.142174 \nL 207.841174 114.229551 \nL 207.20867 112.674797 \nL 206.02677 111.526139 \nL 204.316504 110.812674 \nL 202.120285 110.541714 \nL 199.499258 110.69843 \nL 196.528961 111.248003 \nL 193.29389 112.13981 \nL 189.881698 113.312989 \nL 186.377741 114.702416 \nL 179.398968 117.880261 \nL 172.857123 121.246781 \nL 167.061859 124.526294 \nL 162.152445 127.589168 \nL 158.144692 130.407726 \nL 154.979564 133.007522 \nL 152.561496 135.431303 \nL 150.784242 137.718658 \nL 149.546322 139.897642 \nL 148.75916 141.983491 \nL 148.350563 143.980549 \nL 148.265467 145.88507 \nL 148.465269 147.687711 \nL 148.926526 149.375252 \nL 149.639547 150.931446 \nL 150.607119 152.337093 \nL 151.843475 153.569419 \nL 153.373492 154.600883 \nL 155.232005 155.397452 \nL 157.462996 155.916373 \nL 160.118264 156.103559 \nL 163.254959 155.890736 \nL 166.93102 155.192876 \nL 168.987755 154.630531 \nL 171.197132 153.906893 \nL 173.562163 153.006559 \nL 176.083337 151.913552 \nL 178.757756 150.611809 \nL 181.57812 149.085892 \nL 184.531542 147.321974 \nL 187.598262 145.309142 \nL 190.750268 143.04108 \nL 193.949969 140.518087 \nL 197.14902 137.749436 \nL 200.287554 134.755882 \nL 203.294058 131.572164 \nL 206.086206 128.249049 \nL 208.572975 124.8545 \nL 210.65826 121.473366 \nL 212.246112 118.20501 \nL 213.247445 115.158528 \nL 213.587694 112.445449 \nL 213.214572 110.170433 \nL 212.104802 108.421023 \nL 210.268568 107.258093 \nL 207.750677 106.708763 \nL 204.627942 106.763325 \nL 201.003005 107.376973 \nL 196.995535 108.476044 \nL 192.732249 109.967537 \nL 188.337309 111.749986 \nL 183.924364 113.723755 \nL 175.415888 117.902084 \nL 167.757927 121.980645 \nL 161.215042 125.702925 \nL 155.837321 129.01304 \nL 151.545176 131.963481 \nL 148.196566 134.642921 \nL 145.630585 137.135378 \nL 143.691951 139.503931 \nL 142.24279 141.788622 \nL 141.166819 144.010641 \nL 140.369345 146.178142 \nL 139.535435 149.326799 \nL 138.82658 153.312308 \nL 137.14297 164.35086 \nL 136.558681 166.504583 \nL 135.793419 168.539599 \nL 134.777095 170.475207 \nL 133.915355 171.720305 \nL 132.866221 172.935714 \nL 131.586635 174.125955 \nL 130.023839 175.29337 \nL 128.113391 176.436303 \nL 125.777079 177.546108 \nL 122.921033 178.602366 \nL 119.434674 179.56532 \nL 115.191809 180.364213 \nL 112.744215 180.667402 \nL 110.056275 180.879843 \nL 107.111771 180.974997 \nL 103.896475 180.919769 \nL 100.399628 180.673365 \nL 96.615912 180.186172 \nL 92.548039 179.398815 \nL 88.210018 178.241642 \nL 83.631118 176.635007 \nL 78.860461 174.490896 \nL 73.971931 171.71651 \nL 69.068838 168.220623 \nL 64.28738 163.923311 \nL 59.797492 158.769463 \nL 55.799369 152.745511 \nL 52.513934 145.89766 \nL 50.16616 138.348137 \nL 48.961636 130.304468 \nL 49.059086 122.056361 \nL 50.54396 113.956272 \nL 53.409671 106.383665 \nL 57.552398 99.698482 \nL 62.782045 94.194055 \nL 68.847267 90.0609 \nL 75.4683 87.369999 \nL 82.369658 86.077771 \nL 89.306072 86.04862 \nL 96.078202 87.086966 \nL 102.538186 88.970273 \nL 108.587284 91.476706 \nL 114.168847 94.40446 \nL 119.259389 97.582464 \nL 123.859807 100.874062 \nL 127.987765 104.175751 \nL 131.67168 107.413209 \nL 134.946219 110.536082 \nL 137.849113 113.51271 \nL 142.693849 118.966355 \nL 146.502943 123.733899 \nL 150.847766 129.684496 \nL 155.185575 135.701625 \nL 157.092794 138.01072 \nL 158.98664 139.902738 \nL 160.95975 141.397091 \nL 163.087247 142.499607 \nL 164.228262 142.902239 \nL 165.429385 143.203386 \nL 166.69598 143.40039 \nL 168.032483 143.489983 \nL 169.442323 143.468366 \nL 170.927786 143.331322 \nL 174.127973 142.692865 \nL 177.621108 141.538864 \nL 181.362092 139.840687 \nL 185.262398 137.589125 \nL 187.230226 136.262232 \nL 189.180021 134.810826 \nL 191.084649 133.246977 \nL 192.913332 131.587344 \nL 194.632065 129.853535 \nL 196.204348 128.072268 \nL 197.592242 126.275188 \nL 198.75776 124.498277 \nL 199.664561 122.78081 \nL 200.279877 121.163832 \nL 200.576522 119.688211 \nL 200.534843 118.392384 \nL 200.144376 117.310015 \nL 199.405028 116.467774 \nL 198.327615 115.883544 \nL 196.933654 115.56529 \nL 195.254365 115.510746 \nL 193.329026 115.707935 \nL 191.202785 116.136529 \nL 188.924222 116.769789 \nL 186.542869 117.576843 \nL 181.661386 119.581966 \nL 176.897231 121.904489 \nL 172.504183 124.345994 \nL 168.642604 126.773935 \nL 165.391249 129.115187 \nL 162.768182 131.338607 \nL 160.75245 133.4366 \nL 159.302271 135.410839 \nL 158.368412 137.263312 \nL 157.9031 138.991719 \nL 157.865351 140.587763 \nL 158.223759 142.036858 \nL 158.957488 143.318401 \nL 160.056079 144.406 \nL 161.51838 145.267482 \nL 163.350713 145.864632 \nL 165.564189 146.152833 \nL 168.170905 146.080993 \nL 171.178568 145.592202 \nL 174.583054 144.62606 \nL 178.358379 143.123732 \nL 182.443916 141.037205 \nL 184.570969 139.766318 \nL 186.729614 138.344027 \nL 188.895988 136.77493 \nL 191.041558 135.068086 \nL 193.133074 133.237801 \nL 195.132776 131.304323 \nL 196.99896 129.294338 \nL 198.686958 127.241115 \nL 200.15058 125.184183 \nL 201.344014 123.168444 \nL 202.224134 121.24261 \nL 202.753077 119.456978 \nL 202.900897 117.860665 \nL 202.648024 116.498478 \nL 201.987237 115.407783 \nL 200.924876 114.615711 \nL 199.481073 114.137139 \nL 197.688914 113.9737 \nL 195.592596 114.114055 \nL 193.244777 114.535336 \nL 190.703407 115.205524 \nL 188.028408 116.086519 \nL 185.278583 117.137328 \nL 179.768862 119.587479 \nL 174.53871 122.270076 \nL 169.83549 124.980634 \nL 165.793764 127.601302 \nL 162.459132 130.081616 \nL 159.817256 132.412204 \nL 157.819715 134.602311 \nL 156.403479 136.664908 \nL 155.504038 138.60881 \nL 155.063374 140.4356 \nL 155.034266 142.139251 \nL 155.382148 143.706823 \nL 156.085466 145.119253 \nL 157.135111 146.351856 \nL 158.533284 147.374282 \nL 160.291899 148.149972 \nL 162.430426 148.635261 \nL 164.972896 148.778399 \nL 167.943561 148.51889 \nL 171.360547 147.78788 \nL 175.226633 146.510726 \nL 177.321672 145.643891 \nL 179.51636 144.613357 \nL 181.800319 143.411969 \nL 184.159101 142.034572 \nL 186.573519 140.478872 \nL 189.019025 138.74642 \nL 191.465193 136.843723 \nL 193.875395 134.783402 \nL 196.206786 132.585311 \nL 198.410689 130.277463 \nL 200.433526 127.896628 \nL 202.218388 125.488342 \nL 203.707268 123.106184 \nL 204.843956 120.810102 \nL 205.577468 118.663739 \nL 205.86572 116.730823 \nL 205.679135 115.070869 \nL 205.003694 113.734624 \nL 203.842999 112.759864 \nL 202.218979 112.168142 \nL 200.17103 111.963043 \nL 197.753646 112.130265 \nL 195.032784 112.63956 \nL 192.081435 113.448182 \nL 188.974994 114.505275 \nL 185.786927 115.756562 \nL 179.429567 118.632442 \nL 173.447231 121.713883 \nL 168.120496 124.75827 \nL 163.585454 127.641812 \nL 159.870188 130.326869 \nL 156.934601 132.823571 \nL 154.703221 135.159936 \nL 153.088305 137.363956 \nL 152.004318 139.455401 \nL 151.376059 141.443711 \nL 151.142538 143.328875 \nL 151.258262 145.103287 \nL 151.693068 146.753485 \nL 152.431258 148.261272 \nL 153.47045 149.604082 \nL 154.820369 150.754629 \nL 156.501607 151.679923 \nL 158.544224 152.339771 \nL 160.985903 152.684857 \nL 163.869147 152.654736 \nL 167.236798 152.176158 \nL 169.114051 151.742136 \nL 171.124795 151.162574 \nL 173.270591 150.424938 \nL 175.550852 149.516404 \nL 177.962174 148.424258 \nL 180.49754 147.136461 \nL 183.145426 145.642432 \nL 185.888837 143.934022 \nL 188.704296 142.006779 \nL 191.560873 139.861427 \nL 194.419337 137.50557 \nL 197.231627 134.955495 \nL 199.940729 132.237962 \nL 202.481261 129.39168 \nL 204.780906 126.468238 \nL 206.762872 123.532047 \nL 208.349501 120.658976 \nL 209.466894 117.933384 \nL 210.050354 115.443422 \nL 210.050068 113.274855 \nL 209.436397 111.503928 \nL 208.203917 110.190265 \nL 206.373492 109.370857 \nL 203.991852 109.056289 \nL 201.12858 109.229989 \nL 197.870852 109.850662 \nL 194.316704 110.85757 \nL 190.567799 112.177536 \nL 186.722702 113.732602 \nL 182.871395 115.446973 \nL 175.446181 119.092141 \nL 168.738652 122.709216 \nL 162.97573 126.087063 \nL 158.215104 129.163892 \nL 154.407165 131.963249 \nL 151.446746 134.541479 \nL 149.208724 136.956005 \nL 147.569442 139.25116 \nL 146.418037 141.454987 \nL 145.661325 143.581243 \nL 145.224945 145.633229 \nL 145.05251 147.607422 \nL 145.10387 149.496314 \nL 145.353153 151.290228 \nL 145.786952 152.97823 \nL 146.40285 154.548373 \nL 147.208364 155.987347 \nL 148.220309 157.279699 \nL 149.464559 158.406665 \nL 150.97611 159.344594 \nL 152.799325 160.06293 \nL 154.988145 160.521654 \nL 157.605929 160.668144 \nL 160.724316 160.433471 \nL 164.420208 159.728377 \nL 166.508706 159.165058 \nL 168.769325 158.439704 \nL 171.209372 157.534195 \nL 173.834129 156.429012 \nL 176.64593 155.103573 \nL 179.643051 153.536809 \nL 182.818337 151.708053 \nL 186.157601 149.598326 \nL 189.637813 147.192102 \nL 193.225147 144.479622 \nL 196.873037 141.459779 \nL 200.52044 138.143525 \nL 204.090636 134.557593 \nL 207.491016 130.748185 \nL 210.614299 126.78402 \nL 213.341733 122.757935 \nL 215.548638 118.786071 \nL 217.11243 115.003727 \nL 217.922779 111.557276 \nL 217.892957 108.592229 \nL 216.970807 106.238544 \nL 215.147365 104.595347 \nL 212.46118 103.717982 \nL 208.997038 103.61037 \nL 204.87882 104.224689 \nL 200.257643 105.468658 \nL 195.297426 107.218868 \nL 190.160471 109.337191 \nL 184.995342 111.686785 \nL 175.05987 116.611663 \nL 166.183976 121.298226 \nL 155.442368 127.279386 \nL 149.972231 130.574426 \nL 145.668661 133.45769 \nL 142.323823 136.063312 \nL 139.732419 138.496463 \nL 137.709722 140.826843 \nL 136.097756 143.093967 \nL 134.765243 145.315816 \nL 132.527295 149.634341 \nL 130.339332 153.752012 \nL 129.10866 155.717036 \nL 127.714182 157.608677 \nL 126.102206 159.417216 \nL 124.216729 161.129662 \nL 121.997695 162.727092 \nL 119.380134 164.180871 \nL 116.294627 165.447411 \nL 114.554071 165.99106 \nL 112.669954 166.461104 \nL 110.634098 166.844393 \nL 108.439268 167.125149 \nL 106.079709 167.284583 \nL 103.551835 167.30055 \nL 100.855099 167.147223 \nL 97.993057 166.794905 \nL 94.974645 166.210006 \nL 91.815652 165.355326 \nL 88.540356 164.190771 \nL 85.183235 162.674664 \nL 81.790594 160.76581 \nL 78.421893 158.426521 \nL 75.150433 155.626632 \nL 72.063025 152.348526 \nL 69.258195 148.592849 \nL 66.842505 144.384436 \nL 64.924836 139.777476 \nL 63.608662 134.858812 \nL 62.982924 129.748017 \nL 63.112587 124.593266 \nL 64.030334 119.562488 \nL 65.731049 114.830438 \nL 68.170318 110.563253 \nL 71.267582 106.903055 \nL 74.913476 103.95526 \nL 78.980086 101.780838 \nL 83.332283 100.394542 \nL 87.838332 99.768831 \nL 92.37833 99.842041 \nL 96.849833 100.528888 \nL 101.170571 101.731242 \nL 105.278751 103.347654 \nL 109.131615 105.280784 \nL 112.702966 107.442413 \nL 115.98026 109.756201 \nL 118.961695 112.158662 \nL 121.653551 114.598869 \nL 124.067902 117.037298 \nL 126.22074 119.444329 \nL 128.130484 121.798585 \nL 129.816829 124.085334 \nL 132.599546 128.422303 \nL 134.724609 132.421393 \nL 136.333081 136.085176 \nL 137.546144 139.434283 \nL 138.838625 143.929706 \nL 139.722869 147.878124 \nL 142.130966 159.677305 \nL 142.898641 161.849214 \nL 143.52304 163.143546 \nL 144.265861 164.313139 \nL 145.15577 165.352488 \nL 146.226759 166.251844 \nL 147.519554 166.996117 \nL 149.083118 167.563301 \nL 150.976213 167.922267 \nL 153.268858 168.029736 \nL 156.043366 167.826252 \nL 159.394332 167.23101 \nL 163.426418 166.135651 \nL 168.247904 164.397772 \nL 170.986305 163.232812 \nL 173.956781 161.836193 \nL 177.165683 160.179458 \nL 180.614456 158.232691 \nL 184.297707 155.965613 \nL 188.200826 153.34932 \nL 192.297217 150.358777 \nL 196.545188 146.976289 \nL 200.884743 143.195993 \nL 205.234582 139.029355 \nL 209.489874 134.511407 \nL 213.521581 129.707083 \nL 217.178232 124.716532 \nL 220.291162 119.677891 \nL 222.683936 114.765558 \nL 224.186187 110.182124 \nL 224.651076 106.142908 \nL 223.974231 102.853649 \nL 222.110885 100.4842 \nL 219.087224 99.143229 \nL 215.002555 98.860193 \nL 210.020769 99.579807 \nL 204.352254 101.171095 \nL 198.230077 103.449041 \nL 191.885459 106.203137 \nL 185.527298 109.225805 \nL 173.420415 115.387416 \nL 143.941899 130.947056 \nL 139.029491 133.759428 \nL 135.199397 136.217933 \nL 132.181873 138.472185 \nL 129.743475 140.613794 \nL 127.689277 142.689362 \nL 120.521067 150.400141 \nL 118.48977 152.09018 \nL 116.213842 153.623694 \nL 113.636178 154.956243 \nL 110.708886 156.031356 \nL 109.10238 156.450473 \nL 107.396374 156.776588 \nL 105.589366 156.997496 \nL 103.681619 157.099544 \nL 101.675572 157.067618 \nL 99.576333 156.885186 \nL 97.392212 156.534463 \nL 95.135324 155.996701 \nL 92.822186 155.252691 \nL 90.474304 154.283478 \nL 88.118665 153.071336 \nL 85.788084 151.601052 \nL 83.521261 149.861492 \nL 81.362488 147.847419 \nL 79.360859 145.561478 \nL 77.568903 143.016171 \nL 76.040599 140.23562 \nL 74.828757 137.25679 \nL 73.981931 134.129895 \nL 73.54104 130.917674 \nL 73.536074 127.693368 \nL 73.983261 124.537337 \nL 74.883106 121.532577 \nL 76.219621 118.759504 \nL 77.960933 116.290656 \nL 80.061242 114.185949 \nL 82.463858 112.48912 \nL 85.104968 111.225735 \nL 87.917634 110.402977 \nL 90.835567 110.011012 \nL 93.796324 110.025604 \nL 96.743709 110.411514 \nL 99.629321 111.126142 \nL 102.413271 112.123043 \nL 105.064215 113.354938 \nL 107.558901 114.776114 \nL 109.881363 116.344147 \nL 112.021925 118.020954 \nL 113.976158 119.773327 \nL 115.74385 121.573029 \nL 117.328055 123.396601 \nL 118.734249 125.224974 \nL 119.969598 127.042981 \nL 121.042353 128.838816 \nL 122.735595 132.330537 \nL 123.885023 135.654235 \nL 124.556211 138.788988 \nL 124.804157 141.729031 \nL 124.670833 144.476786 \nL 124.184422 147.038049 \nL 123.35955 149.41852 \nL 122.198057 151.621118 \nL 120.690136 153.643596 \nL 118.81577 155.476047 \nL 116.54669 157.097975 \nL 115.253708 157.819813 \nL 113.849196 158.47465 \nL 112.328801 159.055185 \nL 110.688503 159.552608 \nL 108.924895 159.95643 \nL 107.035539 160.254306 \nL 105.019394 160.431872 \nL 102.877345 160.472635 \nL 100.612809 160.357891 \nL 98.232456 160.066799 \nL 95.747002 159.576553 \nL 93.172088 158.862805 \nL 90.529178 157.900342 \nL 87.846435 156.664118 \nL 85.159459 155.130709 \nL 82.511758 153.280206 \nL 79.954835 151.098594 \nL 77.547624 148.580485 \nL 75.355193 145.732106 \nL 73.446499 142.574176 \nL 71.891159 139.144333 \nL 70.755353 135.498542 \nL 70.097052 131.71101 \nL 69.961132 127.872167 \nL 70.374882 124.084507 \nL 71.344665 120.456508 \nL 72.854304 117.095123 \nL 74.865525 114.097896 \nL 77.320543 111.54567 \nL 80.146397 109.497047 \nL 83.260445 107.985321 \nL 86.576192 107.018123 \nL 90.008749 106.579568 \nL 93.479318 106.634369 \nL 96.918398 107.132982 \nL 100.267658 108.017043 \nL 103.480576 109.224407 \nL 106.52215 110.69333 \nL 109.367934 112.365581 \nL 112.002689 114.188495 \nL 114.418877 116.116106 \nL 116.615149 118.109476 \nL 118.594952 120.136536 \nL 120.365282 122.171541 \nL 121.935628 124.194356 \nL 123.317098 126.189654 \nL 124.521708 128.14613 \nL 126.449756 131.913192 \nL 127.815956 135.459825 \nL 128.706871 138.776754 \nL 129.194832 141.869781 \nL 129.336223 144.752419 \nL 129.171444 147.441248 \nL 128.725705 149.953017 \nL 128.010143 152.302786 \nL 127.022933 154.502547 \nL 125.750238 156.560018 \nL 124.167 158.477252 \nL 122.237664 160.248748 \nL 119.917081 161.858764 \nL 117.152031 163.277481 \nL 115.584652 163.900649 \nL 113.884078 164.455626 \nL 112.043054 164.932039 \nL 110.054861 165.317298 \nL 107.913741 165.596294 \nL 105.615436 165.751075 \nL 103.157851 165.760566 \nL 100.541896 165.60033 \nL 97.77249 165.242452 \nL 94.85974 164.65561 \nL 91.820293 163.805446 \nL 88.678784 162.655315 \nL 85.469346 161.167624 \nL 82.236978 159.305827 \nL 79.038601 157.037254 \nL 75.943494 154.336808 \nL 73.032787 151.191461 \nL 70.397619 147.605286 \nL 68.135679 143.604537 \nL 66.345964 139.241951 \nL 65.12187 134.599323 \nL 64.543186 129.78724 \nL 64.667873 124.941184 \nL 65.524937 120.213639 \nL 67.109671 115.762803 \nL 69.382392 111.739176 \nL 72.271084 108.272241 \nL 75.677657 105.459389 \nL 79.486745 103.358956 \nL 83.57556 101.988327 \nL 87.823241 101.326887 \nL 92.118502 101.322784 \nL 96.364925 101.90184 \nL 100.483752 102.976904 \nL 104.414542 104.456385 \nL 108.114209 106.25108 \nL 111.555051 108.278928 \nL 114.72228 110.46789 \nL 117.611474 112.757145 \nL 120.226165 115.097098 \nL 122.575726 117.448596 \nL 124.673599 119.781703 \nL 126.535857 122.074295 \nL 128.180082 124.310658 \nL 130.887297 128.576363 \nL 132.938256 132.536594 \nL 134.463998 136.186835 \nL 135.577582 139.542374 \nL 136.372459 142.62754 \nL 136.923272 145.469597 \nL 137.414481 149.335261 \nL 137.621028 152.796065 \nL 137.591851 156.897461 \nL 137.294178 160.528068 \nL 136.90279 163.001983 \nL 136.346427 165.300622 \nL 135.585068 167.453882 \nL 134.556874 169.488928 \nL 133.680695 170.792196 \nL 132.612767 172.060183 \nL 131.310452 173.297717 \nL 129.721279 174.507088 \nL 127.781075 175.68619 \nL 125.412023 176.825484 \nL 122.520959 177.903124 \nL 118.998603 178.877286 \nL 114.72106 179.674402 \nL 112.25776 179.970746 \nL 109.55608 180.171712 \nL 106.600686 180.250245 \nL 103.378456 180.172756 \nL 99.879988 179.898036 \nL 96.101616 179.37621 \nL 92.048 178.547927 \nL 87.735388 177.343988 \nL 83.195521 175.685854 \nL 78.480091 173.487506 \nL 73.665417 170.659314 \nL 68.856755 167.114616 \nL 64.191246 162.779601 \nL 59.838149 157.606708 \nL 55.994708 151.590876 \nL 52.876076 144.786805 \nL 50.698473 137.323683 \nL 49.656156 129.412661 \nL 49.895122 121.341949 \nL 51.488569 113.456374 \nL 54.420273 106.121903 \nL 58.581237 99.680934 \nL 63.781564 94.408204 \nL 69.775148 90.477916 \nL 76.291135 87.949628 \nL 83.064688 86.774508 \nL 89.86104 86.817579 \nL 96.489865 87.888408 \nL 102.810135 89.772223 \nL 108.727689 92.255847 \nL 114.188486 95.145693 \nL 119.17014 98.277668 \nL 123.673598 101.520544 \nL 127.715936 104.774709 \nL 131.324624 107.968383 \nL 134.533237 111.05271 \nL 137.378384 113.996737 \nL 142.127941 119.40338 \nL 145.862757 124.14617 \nL 150.122372 130.093335 \nL 154.373756 136.151928 \nL 156.243455 138.49667 \nL 158.101778 140.432667 \nL 160.041148 141.97863 \nL 162.137436 143.139848 \nL 163.264326 143.574294 \nL 164.45274 143.908754 \nL 165.70847 144.140413 \nL 167.036478 144.265793 \nL 168.440811 144.280818 \nL 169.924481 144.180907 \nL 171.489302 143.961084 \nL 174.862359 143.140891 \nL 178.541442 141.780034 \nL 182.471 139.848091 \nL 184.499336 138.664538 \nL 186.546723 137.338687 \nL 188.590685 135.876614 \nL 190.604579 134.288442 \nL 192.557623 132.588986 \nL 194.415195 130.798295 \nL 196.139429 128.941996 \nL 197.690169 127.051307 \nL 199.026298 125.162657 \nL 200.107461 123.316807 \nL 200.89607 121.557412 \nL 201.359529 119.929084 \nL 201.472457 118.474998 \nL 201.218729 117.234284 \nL 200.593073 116.239412 \nL 199.602012 115.513939 \nL 198.264011 115.070866 \nL 196.608716 114.911891 \nL 194.675403 115.027614 \nL 192.510729 115.398753 \nL 190.166084 115.998093 \nL 187.694801 116.792973 \nL 182.579884 118.827354 \nL 177.541428 121.227334 \nL 172.86496 123.768385 \nL 168.733126 126.29928 \nL 165.237057 128.737025 \nL 162.399179 131.047656 \nL 160.197487 133.225049 \nL 158.586054 135.274285 \nL 157.510101 137.201199 \nL 156.916005 139.007055 \nL 156.757292 140.686604 \nL 156.997769 142.227873 \nL 157.612734 143.612623 \nL 158.58893 144.816737 \nL 159.923662 145.810319 \nL 161.623239 146.557425 \nL 163.700724 147.015529 \nL 166.172753 147.134973 \nL 169.055006 146.858888 \nL 172.355775 146.124245 \nL 176.066961 144.865118 \nL 180.151969 143.019588 \nL 182.311744 141.861553 \nL 184.530539 140.542007 \nL 186.788703 139.06091 \nL 189.061794 137.421998 \nL 191.32023 135.633718 \nL 193.529163 133.710144 \nL 195.648622 131.671822 \nL 197.634048 129.546398 \nL 199.437285 127.368904 \nL 201.008114 125.181517 \nL 202.296305 123.032658 \nL 203.254168 120.975355 \nL 203.839445 119.064808 \nL 204.018344 117.355272 \nL 203.768362 115.896512 \nL 203.080605 114.730164 \nL 201.961245 113.886504 \nL 200.431839 113.38205 \nL 198.528427 113.218397 \nL 196.29944 113.382487 \nL 193.802665 113.848304 \nL 191.101633 114.579654 \nL 188.261843 115.533716 \nL 185.347245 116.664732 \nL 179.524869 119.279936 \nL 174.02326 122.113665 \nL 169.09957 124.949458 \nL 164.887138 127.668603 \nL 161.423938 130.226032 \nL 158.685468 132.619787 \nL 156.613017 134.866021 \nL 155.134388 136.983132 \nL 154.177447 138.983844 \nL 153.678105 140.872509 \nL 153.584444 142.645206 \nL 153.858364 144.29084 \nL 154.475746 145.792263 \nL 155.425811 147.12697 \nL 156.710009 148.267138 \nL 158.340617 149.17911 \nL 160.338977 149.822346 \nL 162.733145 150.148101 \nL 165.554493 150.098119 \nL 168.832628 149.60388 \nL 172.587693 148.587363 \nL 174.64509 147.857082 \nL 176.819058 146.964725 \nL 179.103657 145.900332 \nL 181.489393 144.655086 \nL 183.962464 143.222052 \nL 186.503988 141.597106 \nL 189.08924 139.780037 \nL 191.686982 137.775805 \nL 194.258998 135.595892 \nL 196.759903 133.259669 \nL 199.13743 130.795601 \nL 201.333297 128.242097 \nL 203.2848 125.647756 \nL 204.927231 123.070795 \nL 206.197081 120.577335 \nL 207.035943 118.238515 \nL 207.394804 116.126402 \nL 207.238335 114.308999 \nL 206.548605 112.844814 \nL 205.327698 111.777772 \nL 203.598713 111.133165 \nL 201.40489 110.915453 \nL 198.806904 111.10823 \nL 195.878597 111.676493 \nL 192.701789 112.570767 \nL 189.360772 113.732408 \nL 185.937273 115.099195 \nL 179.133188 118.21113 \nL 172.765171 121.502876 \nL 167.127765 124.713858 \nL 162.353695 127.720798 \nL 158.458364 130.496141 \nL 155.385795 133.062434 \nL 153.044998 135.458586 \nL 151.334635 137.720728 \nL 150.157884 139.874213 \nL 149.430366 141.932279 \nL 149.083598 143.897773 \nL 149.065821 145.765694 \nL 149.341436 147.525453 \nL 149.889826 149.162396 \nL 150.704033 150.658486 \nL 151.78955 151.99223 \nL 153.163277 153.137902 \nL 154.852626 154.064201 \nL 156.894612 154.732386 \nL 159.334595 155.093964 \nL 162.224199 155.088118 \nL 165.617626 154.639193 \nL 167.519412 154.220427 \nL 169.565219 153.655024 \nL 171.758985 152.928976 \nL 174.102734 152.027556 \nL 176.595882 150.935652 \nL 179.234379 149.638283 \nL 182.009727 148.121328 \nL 184.907858 146.372517 \nL 187.907908 144.382739 \nL 190.980955 142.147662 \nL 194.088828 139.669688 \nL 197.183108 136.960153 \nL 200.204555 134.041654 \nL 203.083188 130.950244 \nL 205.739317 127.737163 \nL 208.085771 124.469634 \nL 210.03155 121.230217 \nL 211.486934 118.114218 \nL 212.369819 115.224892 \nL 212.612844 112.666418 \nL 212.170425 110.535183 \nL 211.024665 108.910485 \nL 209.189077 107.846015 \nL 206.709235 107.36383 \nL 203.659994 107.452017 \nL 200.13956 108.066668 \nL 196.261296 109.137896 \nL 192.144576 110.578574 \nL 187.906054 112.294244 \nL 183.652454 114.192368 \nL 175.449615 118.216999 \nL 168.057371 122.165096 \nL 161.730333 125.792683 \nL 156.521677 129.041314 \nL 152.361046 131.954439 \nL 149.117264 134.611071 \nL 146.639719 137.087508 \nL 144.782078 139.441542 \nL 143.414022 141.709961 \nL 142.425688 143.912082 \nL 141.728022 146.054953 \nL 141.251059 148.138178 \nL 140.836284 151.141585 \nL 140.675626 153.982735 \nL 140.733192 157.491163 \nL 141.032532 160.657832 \nL 141.410689 162.800192 \nL 141.941352 164.737844 \nL 142.662712 166.463405 \nL 143.2774 167.489646 \nL 144.025373 168.409374 \nL 144.935493 169.213224 \nL 146.043477 169.887844 \nL 147.393259 170.414449 \nL 149.038543 170.766841 \nL 151.04449 170.908721 \nL 153.489321 170.79002 \nL 156.465442 170.342041 \nL 160.079276 169.471209 \nL 164.448332 168.051605 \nL 169.692939 165.917263 \nL 172.677852 164.517854 \nL 175.918415 162.857066 \nL 179.419948 160.902054 \nL 183.181377 158.618658 \nL 187.192767 155.972974 \nL 191.432327 152.933759 \nL 195.862958 149.475872 \nL 200.428487 145.584941 \nL 205.049933 141.263327 \nL 209.622317 136.537189 \nL 214.012861 131.464124 \nL 218.061629 126.140288 \nL 221.585815 120.705299 \nL 224.388845 115.342605 \nL 226.274844 110.272917 \nL 227.068005 105.738806 \nL 226.634888 101.980363 \nL 224.905889 99.204412 \nL 221.891043 97.553055 \nL 217.68555 97.079044 \nL 212.462346 97.735422 \nL 206.452415 99.38312 \nL 199.917047 101.814981 \nL 193.118336 104.789687 \nL 186.294027 108.066667 \nL 173.306096 114.726226 \nL 152.561043 125.518568 \nL 139.193094 132.375145 \nL 134.623466 134.910673 \nL 131.045545 137.145869 \nL 128.186813 139.214568 \nL 125.818759 141.190469 \nL 122.787498 144.039843 \nL 118.998895 147.596201 \nL 116.982475 149.216958 \nL 114.782077 150.68562 \nL 112.338899 151.956985 \nL 109.607707 152.97612 \nL 106.55874 153.67592 \nL 104.911098 153.881198 \nL 103.182336 153.974859 \nL 101.375635 153.944315 \nL 99.496553 153.776115 \nL 97.553404 153.456146 \nL 95.557662 152.969927 \nL 93.524366 152.30305 \nL 91.472468 151.441779 \nL 89.425111 150.373837 \nL 87.409765 149.089367 \nL 85.458142 147.58208 \nL 83.605858 145.85054 \nL 81.891748 143.899492 \nL 80.356787 141.741168 \nL 79.04261 139.396369 \nL 77.989645 136.895175 \nL 77.234959 134.277092 \nL 76.809945 131.590468 \nL 76.738063 128.891059 \nL 77.0329 126.239776 \nL 77.696754 123.6997 \nL 78.719971 121.332622 \nL 80.081178 119.195465 \nL 81.748337 117.336962 \nL 83.68064 115.79502 \nL 85.830882 114.59498 \nL 88.148179 113.748995 \nL 90.580641 113.256458 \nL 93.077805 113.105351 \nL 95.592632 113.27424 \nL 98.082968 113.734668 \nL 100.512458 114.453567 \nL 102.850957 115.395552 \nL 105.074499 116.524873 \nL 107.164968 117.806972 \nL 109.109556 119.209594 \nL 110.900078 120.703508 \nL 112.532258 122.262875 \nL 114.00501 123.865356 \nL 115.319757 125.492024 \nL 116.479827 127.127123 \nL 117.489909 128.75776 \nL 119.082998 131.966344 \nL 120.148132 135.058794 \nL 120.734021 138.000525 \nL 120.883228 140.772711 \nL 120.628994 143.365611 \nL 119.993864 145.773474 \nL 118.989537 147.990603 \nL 117.617609 150.008034 \nL 115.871066 151.810535 \nL 114.85331 152.623959 \nL 113.736573 153.373533 \nL 112.518752 154.054184 \nL 111.197848 154.659828 \nL 109.772165 155.183264 \nL 108.240551 155.616051 \nL 106.602675 155.948418 \nL 104.85936 156.169188 \nL 103.012976 156.26573 \nL 101.06788 156.223979 \nL 99.030916 156.028523 \nL 96.911962 155.662815 \nL 94.724495 155.109511 \nL 92.486172 154.350995 \nL 90.219357 153.370124 \nL 87.95155 152.151219 \nL 85.715639 150.68132 \nL 83.549883 148.951698 \nL 81.497528 146.959575 \nL 79.605953 144.709936 \nL 77.925287 142.217316 \nL 76.506439 139.507306 \nL 75.398601 136.617509 \nL 74.646338 133.597704 \nL 74.286501 130.50894 \nL 74.345265 127.421455 \nL 74.835651 124.411376 \nL 75.755895 121.556512 \nL 77.088933 118.931521 \nL 78.803123 116.603165 \nL 80.854158 114.626056 \nL 83.187953 113.039597 \nL 85.74411 111.866322 \nL 88.459566 111.111835 \nL 91.272035 110.766142 \nL 94.12288 110.806087 \nL 96.959308 111.198451 \nL 99.735752 111.903301 \nL 102.414535 112.877148 \nL 104.965907 114.075704 \nL 107.367651 115.456089 \nL 109.604335 116.978366 \nL 111.66643 118.60658 \nL 113.549347 120.309231 \nL 115.252484 122.059409 \nL 116.778348 123.834626 \nL 118.13177 125.616479 \nL 119.319217 127.390224 \nL 120.348214 129.144285 \nL 121.963531 132.560066 \nL 123.043333 135.817297 \nL 123.648358 138.893412 \nL 123.829459 141.7805 \nL 123.625148 144.478577 \nL 123.060776 146.99081 \nL 122.148733 149.319994 \nL 120.889243 151.465724 \nL 119.271608 153.421823 \nL 117.27591 155.173594 \nL 114.875389 156.694654 \nL 113.513923 157.3563 \nL 112.039974 157.943105 \nL 110.450139 158.446656 \nL 108.741618 158.856974 \nL 106.912555 159.162363 \nL 104.962441 159.349266 \nL 102.892599 159.402179 \nL 100.706761 159.303614 \nL 98.411715 159.03415 \nL 96.018041 158.572654 \nL 93.540898 157.896664 \nL 91.000834 156.983045 \nL 88.424556 155.808946 \nL 85.845577 154.353123 \nL 83.304621 152.597671 \nL 80.849669 150.530144 \nL 78.535433 148.146017 \nL 76.422186 145.451313 \nL 74.573741 142.465186 \nL 73.054597 139.222047 \nL 71.926285 135.772863 \nL 71.243146 132.185126 \nL 71.047946 128.541168 \nL 71.367821 124.934625 \nL 72.211161 121.465157 \nL 73.565954 118.231923 \nL 75.399924 115.326532 \nL 77.662533 112.826432 \nL 80.288625 110.789725 \nL 83.20316 109.251956 \nL 86.326411 108.225335 \nL 89.578966 107.700207 \nL 92.885975 107.648328 \nL 96.180337 108.027275 \nL 99.404711 108.785272 \nL 102.512404 109.865815 \nL 105.467364 111.211622 \nL 108.243494 112.767735 \nL 110.823551 114.483645 \nL 113.197837 116.314586 \nL 115.362836 118.222071 \nL 117.319913 120.173904 \nL 119.074133 122.143825 \nL 120.633239 124.110945 \nL 122.006787 126.05904 \nL 123.205433 127.975863 \nL 125.12287 131.682545 \nL 126.474164 135.188372 \nL 127.340336 138.478225 \nL 127.78963 141.553172 \nL 127.875288 144.422861 \nL 127.635121 147.100595 \nL 127.092009 149.600107 \nL 126.254842 151.933364 \nL 125.119548 154.108852 \nL 123.670104 156.129967 \nL 121.879537 157.993115 \nL 119.711098 159.685252 \nL 117.119944 161.180496 \nL 115.650274 161.841574 \nL 114.055938 162.435498 \nL 112.330632 162.95312 \nL 110.468501 163.383362 \nL 108.464495 163.712949 \nL 106.314834 163.926153 \nL 104.017579 164.004549 \nL 101.573336 163.926816 \nL 98.986101 163.668639 \nL 96.264248 163.202753 \nL 93.421665 162.499208 \nL 90.478977 161.525974 \nL 87.464824 160.249958 \nL 84.417062 158.638576 \nL 81.383747 156.66198 \nL 78.423655 154.295977 \nL 75.606126 151.525647 \nL 73.009858 148.349469 \nL 70.720477 144.783648 \nL 68.826622 140.866032 \nL 67.414615 136.658922 \nL 66.561978 132.249908 \nL 66.330429 127.749937 \nL 66.75928 123.2882 \nL 67.860286 119.003878 \nL 69.61497 115.0356 \nL 71.975039 111.509952 \nL 74.866016 108.530925 \nL 78.193531 106.171867 \nL 81.851254 104.471299 \nL 85.729204 103.43286 \nL 89.7213 103.029049 \nL 93.731259 103.207585 \nL 97.676507 103.899151 \nL 101.490084 105.025168 \nL 105.12088 106.504662 \nL 108.532631 108.259595 \nL 111.702176 110.218606 \nL 114.617344 112.319147 \nL 117.274802 114.508337 \nL 119.678025 116.742902 \nL 121.835516 118.988483 \nL 123.759296 121.218595 \nL 125.463674 123.413469 \nL 126.964269 125.558876 \nL 129.418807 129.665796 \nL 131.249733 133.498895 \nL 132.572875 137.051697 \nL 133.487484 140.336191 \nL 134.074502 143.373297 \nL 134.397028 146.187282 \nL 134.501868 148.802659 \nL 134.421478 151.242593 \nL 134.175879 153.528147 \nL 133.774302 155.678005 \nL 133.216437 157.708451 \nL 132.493257 159.633383 \nL 131.587401 161.464287 \nL 130.47315 163.210009 \nL 129.116047 164.876204 \nL 127.472223 166.464301 \nL 125.487579 167.969696 \nL 123.097039 169.378871 \nL 120.224276 170.664922 \nL 116.782677 171.780829 \nL 114.819449 172.252463 \nL 112.678786 172.649716 \nL 110.349253 172.956104 \nL 107.820405 173.15137 \nL 105.083538 173.210878 \nL 102.132695 173.104991 \nL 98.965961 172.798499 \nL 95.587081 172.250198 \nL 92.00746 171.412747 \nL 88.2485 170.233011 \nL 84.344256 168.653136 \nL 80.344214 166.612667 \nL 76.315938 164.052075 \nL 72.347131 160.917976 \nL 68.546454 157.170203 \nL 65.042321 152.790632 \nL 61.97886 147.793041 \nL 59.508356 142.232745 \nL 57.779993 136.213948 \nL 56.925572 129.892355 \nL 57.043915 123.470681 \nL 58.186605 117.18576 \nL 60.348213 111.287744 \nL 63.463567 106.014422 \nL 67.413287 101.565339 \nL 72.036706 98.081036 \nL 77.149468 95.63161 \nL 82.56224 94.216216 \nL 88.097068 93.772312 \nL 93.599215 94.19146 \nL 98.943645 95.337609 \nL 104.036763 97.064325 \nL 108.814544 99.228662 \nL 113.238592 101.700729 \nL 117.291298 104.368988 \nL 120.970989 107.142164 \nL 124.287599 109.948721 \nL 127.259053 112.734855 \nL 129.908421 115.461799 \nL 132.261739 118.102988 \nL 134.34642 120.641373 \nL 137.819886 125.375555 \nL 140.540234 129.639719 \nL 142.697179 133.452219 \nL 145.946684 139.868346 \nL 147.934179 143.768141 \nL 149.222933 145.988138 \nL 150.570468 147.925218 \nL 152.042105 149.587112 \nL 153.698262 150.971777 \nL 155.597251 152.066598 \nL 157.797211 152.847317 \nL 159.028403 153.108781 \nL 160.356917 153.27662 \nL 161.790086 153.343872 \nL 163.335083 153.302567 \nL 164.998762 153.143704 \nL 166.787452 152.857245 \nL 168.706658 152.432154 \nL 170.760706 151.856484 \nL 172.952266 151.117544 \nL 175.281789 150.202178 \nL 177.746808 149.097161 \nL 180.341124 147.789799 \nL 183.053878 146.268694 \nL 185.868519 144.524812 \nL 188.761726 142.552771 \nL 191.702345 140.352425 \nL 194.650454 137.930686 \nL 197.556704 135.303487 \nL 200.362136 132.497741 \nL 202.998679 129.553042 \nL 205.390598 126.522747 \nL 207.457022 123.474082 \nL 209.115745 120.486799 \nL 210.288166 117.65008 \nL 210.905128 115.057573 \nL 210.91312 112.800699 \nL 210.28004 110.960928 \nL 208.999654 109.601943 \nL 207.093908 108.76305 \nL 204.612494 108.455035 \nL 201.629546 108.659333 \nL 198.237899 109.330767 \nL 194.541718 110.403393 \nL 190.648647 111.798264 \nL 186.662533 113.431808 \nL 182.677598 115.223374 \nL 175.018196 119.005366 \nL 168.127643 122.725075 \nL 162.230091 126.171489 \nL 157.373551 129.290945 \nL 153.496847 132.11681 \nL 150.484027 134.713667 \nL 148.200943 137.144693 \nL 146.516733 139.457804 \nL 145.314831 141.683097 \nL 144.497432 143.835585 \nL 143.986214 145.919489 \nL 143.721129 147.932248 \nL 143.658354 149.867569 \nL 143.768059 151.717449 \nL 144.032366 153.473235 \nL 144.443658 155.126021 \nL 145.003338 156.666533 \nL 145.721028 158.084618 \nL 146.614202 159.368474 \nL 147.708206 160.503563 \nL 149.03661 161.471229 \nL 150.641795 162.24692 \nL 152.575669 162.797914 \nL 154.900255 163.080431 \nL 157.687777 163.036 \nL 161.019566 162.587125 \nL 164.982637 161.632524 \nL 167.227912 160.926339 \nL 169.662106 160.042893 \nL 172.293186 158.961383 \nL 175.126627 157.659402 \nL 178.16429 156.113388 \nL 181.403049 154.299368 \nL 184.833099 152.194116 \nL 188.436002 149.776819 \nL 192.182475 147.031362 \nL 196.030045 143.949309 \nL 199.920779 140.533578 \nL 203.779385 136.802718 \nL 207.51214 132.795435 \nL 211.007221 128.574858 \nL 214.137068 124.231623 \nL 216.763382 119.884671 \nL 218.745154 115.678512 \nL 219.949599 111.775893 \nL 220.265246 108.34548 \nL 219.615512 105.545316 \nL 217.970546 103.504149 \nL 215.354659 102.304146 \nL 211.847347 101.968854 \nL 207.577012 102.459622 \nL 202.708205 103.681697 \nL 197.424818 105.498765 \nL 191.912455 107.752431 \nL 186.34307 110.282256 \nL 175.591971 115.613269 \nL 161.725013 122.946152 \nL 151.25417 128.753767 \nL 146.018129 131.892725 \nL 141.926164 134.63709 \nL 138.742212 137.132101 \nL 136.24734 139.480682 \nL 134.251211 141.745306 \nL 132.594059 143.957585 \nL 129.792702 148.256727 \nL 127.756905 151.350091 \nL 126.284887 153.328392 \nL 124.643811 155.222112 \nL 122.771751 157.012879 \nL 120.607791 158.677122 \nL 118.090713 160.182874 \nL 115.15919 161.485343 \nL 113.51934 162.041442 \nL 111.75415 162.521108 \nL 109.857495 162.912328 \nL 107.82433 163.200977 \nL 105.651138 163.37057 \nL 103.336512 163.40204 \nL 100.881852 163.273578 \nL 98.292206 162.960567 \nL 95.577248 162.435716 \nL 92.752374 161.669398 \nL 89.839884 160.630361 \nL 86.870155 159.286848 \nL 83.882723 157.608297 \nL 80.927081 155.567639 \nL 78.062967 153.144289 \nL 75.359932 150.327717 \nL 72.895858 147.121425 \nL 70.754228 143.546948 \nL 69.02003 139.647306 \nL 67.774384 135.489166 \nL 67.088206 131.162943 \nL 67.015647 126.78018 \nL 67.588111 122.467917 \nL 68.809932 118.360291 \nL 70.656516 114.588279 \nL 73.075467 111.268928 \nL 75.99062 108.495895 \nL 79.308389 106.332603 \nL 82.925401 104.80913 \nL 86.736264 103.922938 \nL 90.640411 103.642922 \nL 94.547362 103.915769 \nL 98.380067 104.673259 \nL 102.076441 105.839496 \nL 105.589394 107.337147 \nL 108.885761 109.092253 \nL 111.944612 111.037497 \nL 114.755246 113.114051 \nL 117.315163 115.27227 \nL 119.62818 117.471557 \nL 121.702767 119.679675 \nL 123.550637 121.871753 \nL 125.185608 124.029205 \nL 126.62269 126.138622 \nL 128.965091 130.179808 \nL 130.698874 133.956936 \nL 131.934128 137.463705 \nL 132.764709 140.711389 \nL 133.266588 143.719847 \nL 133.498253 146.512213 \nL 133.502118 149.111925 \nL 133.306301 151.541125 \nL 132.92634 153.819853 \nL 132.366643 155.965707 \nL 131.621542 157.993644 \nL 130.675932 159.91581 \nL 129.505484 161.741173 \nL 128.07651 163.474854 \nL 126.345555 165.1169 \nL 124.258887 166.660268 \nL 121.75218 168.087645 \nL 118.750867 169.366572 \nL 115.17204 170.442323 \nL 113.138973 170.878404 \nL 110.929322 171.227818 \nL 108.533404 171.472422 \nL 105.943031 171.590201 \nL 103.152372 171.554731 \nL 100.159071 171.334677 \nL 96.965627 170.893401 \nL 93.58111 170.188806 \nL 90.02317 169.173547 \nL 86.320328 167.795847 \nL 82.514419 166.001142 \nL 78.662972 163.734869 \nL 74.841202 160.946656 \nL 71.143073 157.596076 \nL 67.680831 153.659959 \nL 64.582304 149.140831 \nL 61.985297 144.075526 \nL 60.028829 138.542539 \nL 58.841434 132.66602 \nL 58.527688 126.614432 \nL 59.154869 120.592266 \nL 60.74237 114.824587 \nL 63.256299 109.53608 \nL 66.610877 104.927921 \nL 70.676795 101.156976 \nL 75.294884 98.321381 \nL 80.292414 96.455113 \nL 85.498885 95.531687 \nL 90.758862 95.475169 \nL 95.940477 96.175267 \nL 100.939457 97.503251 \nL 105.679393 99.326045 \nL 110.109383 101.517016 \nL 114.200248 103.963014 \nL 117.94024 106.567965 \nL 121.330888 109.253841 \nL 124.383348 111.959752 \nL 127.115372 114.640005 \nL 129.548927 117.261716 \nL 131.708371 119.802337 \nL 133.619105 122.247398 \nL 136.795715 126.821935 \nL 139.272669 130.965 \nL 141.223242 134.693542 \nL 143.480103 139.581233 \nL 146.382382 146.1328 \nL 147.4875 148.274926 \nL 148.659 150.169258 \nL 149.952896 151.822305 \nL 151.422585 153.232185 \nL 153.121495 154.387854 \nL 155.10512 155.267938 \nL 157.4323 155.839113 \nL 160.165444 156.054039 \nL 163.36916 155.849029 \nL 165.167396 155.564138 \nL 167.106397 155.141937 \nL 169.192518 154.569128 \nL 171.430756 153.83131 \nL 173.824164 152.913172 \nL 176.37313 151.798836 \nL 179.074497 150.472371 \nL 181.92052 148.918532 \nL 184.897685 147.123799 \nL 187.98538 145.07774 \nL 191.154534 142.774726 \nL 194.366271 140.216031 \nL 197.57078 137.412219 \nL 200.7066 134.385701 \nL 203.700584 131.173217 \nL 206.468877 127.827824 \nL 208.919209 124.419928 \nL 210.954737 121.036758 \nL 212.479508 117.779714 \nL 213.405357 114.759223 \nL 213.659687 112.087117 \nL 213.193236 109.867057 \nL 211.986616 108.18422 \nL 210.054451 107.095855 \nL 207.446087 106.624587 \nL 204.242457 106.755919 \nL 200.549471 107.440574 \nL 196.488892 108.601329 \nL 192.188267 110.14287 \nL 187.771389 111.96282 \nL 183.350576 113.961865 \nL 174.860358 118.159905 \nL 167.250532 122.230552 \nL 160.769181 125.93272 \nL 155.454705 129.221016 \nL 151.220627 132.153105 \nL 147.921578 134.81913 \nL 145.395576 137.302639 \nL 143.487511 139.66553 \nL 142.060279 141.946672 \nL 140.998561 144.16633 \nL 140.208599 146.332053 \nL 139.374977 149.478506 \nL 138.648405 153.461736 \nL 137.116643 162.997406 \nL 136.533935 165.248992 \nL 135.778713 167.374667 \nL 134.781771 169.392827 \nL 133.939354 170.688174 \nL 132.916035 171.949913 \nL 131.670384 173.182584 \nL 130.151751 174.388731 \nL 128.298353 175.567193 \nL 126.035258 176.710335 \nL 123.272526 177.799632 \nL 119.904082 178.798707 \nL 115.808479 179.642596 \nL 113.446885 179.974407 \nL 110.853717 180.221668 \nL 108.012897 180.35993 \nL 104.909997 180.358677 \nL 101.53355 180.180232 \nL 97.876831 179.778684 \nL 93.940181 179.098904 \nL 89.73397 178.075942 \nL 85.282238 176.635053 \nL 80.626946 174.692849 \nL 75.832653 172.160167 \nL 70.991135 168.947337 \nL 66.225149 164.972524 \nL 61.690146 160.173617 \nL 57.572369 154.523433 \nL 54.081639 148.04702 \nL 51.437551 140.838234 \nL 49.848912 133.071318 \nL 49.488204 125.002299 \nL 50.465277 116.955754 \nL 52.806138 109.295552 \nL 56.442958 102.382932 \nL 61.219115 96.53035 \nL 66.908804 91.961905 \nL 73.246652 88.789981 \nL 79.959955 87.012459 \nL 86.796573 86.528797 \nL 93.543952 87.168192 \nL 100.038119 88.721689 \nL 106.164141 90.97124 \nL 111.850856 93.711536 \nL 117.062828 96.763539 \nL 121.791706 99.980532 \nL 126.048381 103.248662 \nL 129.856543 106.484034 \nL 133.247725 109.628073 \nL 136.25772 112.642424 \nL 138.924062 115.504142 \nL 143.375062 120.730781 \nL 146.884904 125.293999 \nL 150.924987 130.995329 \nL 155.053773 136.774803 \nL 156.916603 138.994992 \nL 158.795745 140.811617 \nL 160.778601 142.239657 \nL 162.936783 143.28079 \nL 164.100282 143.653308 \nL 165.328412 143.92406 \nL 166.626422 144.089878 \nL 167.998669 144.146978 \nL 169.448516 144.091032 \nL 170.978183 143.917297 \nL 172.588559 143.620735 \nL 176.046881 142.638789 \nL 179.793962 141.107884 \nL 183.759843 139.004578 \nL 185.78904 137.73851 \nL 187.822538 136.334989 \nL 189.835368 134.802651 \nL 191.79846 133.154555 \nL 193.678832 131.408751 \nL 195.440086 129.588683 \nL 197.043207 127.72333 \nL 198.447768 125.846966 \nL 199.613475 123.998475 \nL 200.502056 122.22013 \nL 201.079391 120.555847 \nL 201.317711 119.048987 \nL 201.197692 117.73984 \nL 200.710205 116.663046 \nL 199.857476 115.845207 \nL 198.65353 115.303062 \nL 197.123762 115.042387 \nL 195.303685 115.057887 \nL 193.236949 115.333999 \nL 190.972852 115.846589 \nL 188.563634 116.565242 \nL 186.061786 117.455815 \nL 180.977617 119.612521 \nL 176.066969 122.056995 \nL 171.580857 124.58907 \nL 167.670534 127.081272 \nL 164.403305 129.468157 \nL 161.786146 131.725936 \nL 159.788801 133.852682 \nL 158.36238 135.853836 \nL 157.452653 137.733597 \nL 157.008611 139.490849 \nL 156.98745 141.11789 \nL 157.35701 142.600467 \nL 158.096554 143.918216 \nL 159.196422 145.04498 \nL 160.65692 145.948763 \nL 162.486521 146.591382 \nL 164.699308 146.927925 \nL 167.311328 146.906368 \nL 170.335446 146.467884 \nL 173.774041 145.548617 \nL 177.60896 144.084158 \nL 181.788374 142.018264 \nL 183.977995 140.747866 \nL 186.210948 139.317384 \nL 188.464115 137.729681 \nL 190.709397 135.992061 \nL 192.913533 134.117159 \nL 195.038172 132.123799 \nL 197.040319 130.037663 \nL 198.873212 127.89164 \nL 200.487689 125.725723 \nL 201.834091 123.586293 \nL 202.864654 121.524657 \nL 203.536288 119.594861 \nL 203.81352 117.850781 \nL 203.671344 116.342736 \nL 203.097634 115.113918 \nL 202.094781 114.197094 \nL 200.680311 113.612041 \nL 198.886282 113.364083 \nL 196.75753 113.444005 \nL 194.348892 113.829356 \nL 191.721794 114.486946 \nL 188.940555 115.37613 \nL 186.068852 116.45243 \nL 180.288038 118.989579 \nL 174.778733 121.782155 \nL 169.812925 124.603162 \nL 165.538361 127.322821 \nL 162.00456 129.88753 \nL 159.195063 132.290067 \nL 157.056067 134.544066 \nL 155.517896 136.6672 \nL 154.509288 138.672396 \nL 153.965978 140.564586 \nL 153.835265 142.340458 \nL 154.077951 143.989409 \nL 154.668687 145.494665 \nL 155.595423 146.833972 \nL 156.858353 147.97973 \nL 158.468515 148.898506 \nL 160.446026 149.550068 \nL 162.81771 149.886132 \nL 165.613713 149.849113 \nL 168.862437 149.371464 \nL 172.582952 148.376432 \nL 174.620882 147.659213 \nL 176.773843 146.781754 \nL 179.0359 145.734319 \nL 181.397629 144.508305 \nL 183.845387 143.096968 \nL 186.360554 141.496318 \nL 188.918802 139.706205 \nL 191.48944 137.73153 \nL 194.034958 135.583566 \nL 196.51086 133.281275 \nL 198.865921 130.852473 \nL 201.04304 128.334671 \nL 202.980784 125.775316 \nL 204.615717 123.231234 \nL 205.885509 120.767005 \nL 206.732703 118.452184 \nL 207.108895 116.357354 \nL 206.978906 114.549326 \nL 206.324408 113.085866 \nL 205.146521 112.010743 \nL 203.466867 111.349745 \nL 201.326814 111.108451 \nL 198.784922 111.272066 \nL 195.912897 111.807527 \nL 192.790562 112.667365 \nL 189.500541 113.79481 \nL 186.123289 115.129229 \nL 179.394648 118.186046 \nL 173.07859 121.438196 \nL 167.472642 124.623812 \nL 162.714637 127.615723 \nL 158.825318 130.382165 \nL 155.753309 132.94235 \nL 153.411176 135.332998 \nL 151.700157 137.588967 \nL 150.525235 139.734964 \nL 149.803276 141.783897 \nL 149.466676 143.738388 \nL 149.464347 145.593187 \nL 149.761249 147.337335 \nL 150.337299 148.955653 \nL 151.186086 150.42938 \nL 152.313665 151.736068 \nL 153.737495 152.84878 \nL 155.485477 153.734705 \nL 157.594903 154.353277 \nL 160.110978 154.653877 \nL 163.084385 154.573327 \nL 166.567045 154.033636 \nL 168.514217 153.562854 \nL 170.6049 152.940824 \nL 172.841968 152.153547 \nL 175.226115 151.186488 \nL 177.755097 150.02499 \nL 180.422848 148.654859 \nL 183.218466 147.063198 \nL 186.125076 145.239495 \nL 189.118637 143.177035 \nL 192.166738 140.874603 \nL 195.227538 138.338503 \nL 198.248976 135.584707 \nL 201.168495 132.641077 \nL 203.913512 129.549301 \nL 206.402933 126.366171 \nL 208.549902 123.163772 \nL 210.265931 120.028066 \nL 211.466385 117.055473 \nL 212.076963 114.347324 \nL 212.040585 112.002362 \nL 211.323801 110.108019 \nL 209.921678 108.731681 \nL 207.860205 107.913384 \nL 205.19558 107.661389 \nL 202.01025 107.951629 \nL 198.406254 108.731196 \nL 194.496873 109.925251 \nL 190.397877 111.446001 \nL 186.219622 113.202065 \nL 178.004921 117.084137 \nL 170.447491 121.026684 \nL 163.875421 124.719333 \nL 158.398089 128.053457 \nL 153.980943 131.044492 \nL 150.512073 133.760791 \nL 147.848954 136.278095 \nL 145.846703 138.657991 \nL 144.372967 140.94197 \nL 143.314394 143.153304 \nL 142.578193 145.301747 \nL 142.0911 147.388358 \nL 141.797149 149.40939 \nL 141.631456 152.305065 \nL 141.719992 155.019292 \nL 142.018538 157.534017 \nL 142.51786 159.834186 \nL 143.237329 161.905319 \nL 143.86078 163.150313 \nL 144.622155 164.278612 \nL 145.547759 165.280518 \nL 146.670742 166.142675 \nL 148.032159 166.846628 \nL 149.682236 167.366916 \nL 151.681721 167.668536 \nL 154.103111 167.703576 \nL 157.031337 167.406833 \nL 160.563162 166.690336 \nL 164.80389 165.437014 \nL 169.859113 163.494544 \nL 172.72133 162.206686 \nL 175.817788 160.672037 \nL 179.151967 158.861539 \nL 182.721394 156.745297 \nL 186.515469 154.294035 \nL 190.512898 151.481228 \nL 194.67876 148.286118 \nL 198.96135 144.697719 \nL 203.289113 140.719838 \nL 207.568071 136.37694 \nL 211.680463 131.720429 \nL 215.485388 126.834409 \nL 218.822459 121.839638 \nL 221.519313 116.89385 \nL 223.403425 112.18661 \nL 224.317945 107.927213 \nL 224.139997 104.325408 \nL 222.798676 101.566823 \nL 220.289064 99.787054 \nL 216.678507 99.050245 \nL 212.102767 99.33796 \nL 206.752024 100.55185 \nL 200.849395 102.530028 \nL 194.626586 105.072849 \nL 188.301594 107.971594 \nL 176.056616 114.099801 \nL 152.047674 126.709335 \nL 142.708739 131.762142 \nL 138.147792 134.465572 \nL 134.586763 136.865676 \nL 131.767484 139.093552 \nL 129.468953 141.226197 \nL 126.605269 144.319131 \nL 122.274489 149.192051 \nL 120.403712 150.992546 \nL 118.337064 152.666978 \nL 116.010585 154.178815 \nL 113.368383 155.482195 \nL 110.363596 156.518373 \nL 108.713884 156.913358 \nL 106.962015 157.211543 \nL 105.106839 157.400116 \nL 105.106839 157.400116 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pc4f50c0e8e\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(results_test_np[:,0], results_test_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(results_test_np[:,0], results_test_np[:,1], results_test_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import scipy.io\n",
-    "\n",
-    "scipy.io.savemat(\"Lorenz63_fitRandomSample_RK4.mat\", {\"x\": results_test_np})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Mean Squared Error Loss"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs={\"sigma\": 10., \"rho\": 28., \"beta\": 2.7},\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result_train = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs={\"sigma\": 10.0535, \"rho\": 28.0544, \"beta\": 2.6995},\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result_test = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor(0.0505, grad_fn=<MseLossBackward>)"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "loss = torch.nn.MSELoss()\n",
-    "loss(result_train,result_test)"
-   ]
-  }
- ],
- "metadata": {
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  },
-  "kernelspec": {
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb b/examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb
deleted file mode 100644
index 6658555e..00000000
--- a/examples/ode/lorenz63/Lorenz63_Euler_Train_fitRandomSample_RK4.ipynb
+++ /dev/null
@@ -1,704 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3\n",
-    "\n",
-    "import time"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Lorenz 63 equations\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"sigma\"]*(prev_val[\"y\"]-prev_val[\"x\"])\n",
-    "\n",
-    "def y_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x\"]*(coeffs[\"rho\"]-prev_val[\"z\"])-prev_val[\"y\"]\n",
-    "\n",
-    "def z_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x\"]*prev_val[\"y\"]-coeffs[\"beta\"]*prev_val[\"z\"]\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
-    "\n",
-    "# Initial conditions [1,0,0]\n",
-    "ode_init = {\"x\":1, \"y\":0, \"z\":0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"sigma\": 10., \"rho\": 28., \"beta\": 2.7}\n"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's method - Data Generation for nt = 1000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[1.0000e+00, 0.0000e+00, 0.0000e+00],\n",
-       "        [9.0000e-01, 2.8000e-01, 0.0000e+00],\n",
-       "        [8.3800e-01, 5.2920e-01, 2.5200e-03],\n",
-       "        ...,\n",
-       "        [2.8109e+00, 4.5452e+00, 1.5969e+01],\n",
-       "        [2.9843e+00, 4.8379e+00, 1.5666e+01],\n",
-       "        [3.1697e+00, 5.1576e+00, 1.5387e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 15
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stderr",
-     "text": [
-      "<ipython-input-16-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:23:00.690391</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mc85287cec6\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"59.423789\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −15 -->\n      <g transform=\"translate(48.871445 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"101.657081\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −10 -->\n      <g transform=\"translate(91.104738 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"143.890373\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −5 -->\n      <g transform=\"translate(136.51928 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"186.123665\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0 -->\n      <g transform=\"translate(182.942415 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"228.356958\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 5 -->\n      <g transform=\"translate(225.175708 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"270.59025\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(264.22775 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"312.823542\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 15 -->\n      <g transform=\"translate(306.461042 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"355.056834\" xlink:href=\"#mc85287cec6\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 20 -->\n      <g transform=\"translate(348.694334 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_9\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m36c296e3f9\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m36c296e3f9\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m36c296e3f9\" y=\"216.600695\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.399914)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m36c296e3f9\" y=\"171.98539\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.784609)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m36c296e3f9\" y=\"127.370085\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 131.169304)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m36c296e3f9\" y=\"82.75478\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 86.553999)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m36c296e3f9\" y=\"38.139475\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 41.938694)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#pdd36bb62c1)\" d=\"M 194.570324 261.216 \nL 192.900088 261.15879 \nL 193.047582 261.125369 \nL 204.874061 259.523803 \nL 209.488325 258.558828 \nL 215.25359 257.059194 \nL 218.645279 256.022966 \nL 222.42325 254.733463 \nL 226.625873 253.130537 \nL 231.293556 251.140816 \nL 236.467953 248.675379 \nL 242.190748 245.627371 \nL 248.501821 241.869793 \nL 255.436585 237.253863 \nL 263.022254 231.608621 \nL 271.272676 224.742736 \nL 280.18151 216.449933 \nL 289.713299 206.51995 \nL 299.792392 194.757297 \nL 310.289752 181.010321 \nL 321.008256 165.212473 \nL 331.668044 147.435927 \nL 341.894696 127.953671 \nL 351.214362 107.299972 \nL 359.061927 86.310573 \nL 364.808332 66.116235 \nL 367.812273 48.061506 \nL 367.496503 33.532616 \nL 363.440693 23.708991 \nL 355.472152 19.296 \nL 343.728354 20.330541 \nL 328.666101 26.146321 \nL 311.006687 35.52848 \nL 291.628155 47.0029 \nL 271.435869 59.147936 \nL 251.247732 70.822606 \nL 231.719825 81.263729 \nL 213.319203 90.068913 \nL 196.334661 97.115842 \nL 180.909462 102.466295 \nL 167.081158 106.284646 \nL 154.818715 108.780829 \nL 144.052266 110.176095 \nL 134.694474 110.6854 \nL 126.65439 110.509998 \nL 119.84533 109.835316 \nL 114.188412 108.831019 \nL 109.613072 107.651337 \nL 106.055744 106.434944 \nL 103.457406 105.304108 \nL 101.760802 104.36331 \nL 100.907675 103.697682 \nL 100.836514 103.37171 \nL 101.480975 103.428588 \nL 102.769164 103.890529 \nL 104.62379 104.760202 \nL 106.96314 106.023126 \nL 109.702679 107.65086 \nL 112.757111 109.60472 \nL 119.478887 114.307432 \nL 126.512587 119.752998 \nL 129.983147 122.644099 \nL 133.352551 125.597516 \nL 136.579211 128.582572 \nL 139.630215 131.573951 \nL 142.480778 134.551305 \nL 145.113451 137.498672 \nL 147.517211 140.403771 \nL 149.686488 143.257369 \nL 151.620181 146.052616 \nL 153.320728 148.784483 \nL 154.793244 151.449303 \nL 156.044745 154.044368 \nL 157.083478 156.567611 \nL 157.918354 159.017365 \nL 158.558467 161.392148 \nL 159.012713 163.69054 \nL 159.289485 165.911026 \nL 159.39644 168.05192 \nL 159.340325 170.111266 \nL 159.126855 172.086758 \nL 158.760635 173.975654 \nL 158.245108 175.774723 \nL 157.582542 177.480108 \nL 156.774029 179.087283 \nL 155.819516 180.590903 \nL 154.717832 181.984732 \nL 153.466754 183.261484 \nL 152.063065 184.412692 \nL 150.502645 185.428554 \nL 148.780574 186.297759 \nL 146.891253 187.007323 \nL 144.828561 187.542404 \nL 142.586045 187.886119 \nL 140.157144 188.019398 \nL 137.535495 187.920839 \nL 134.715265 187.566606 \nL 131.691596 186.930447 \nL 128.461139 185.983786 \nL 125.022671 184.695971 \nL 121.377878 183.034794 \nL 117.532233 180.967245 \nL 113.496038 178.460655 \nL 109.285597 175.484295 \nL 104.924505 172.011515 \nL 100.445007 168.022451 \nL 95.889378 163.507369 \nL 91.311227 158.470558 \nL 86.776501 152.934653 \nL 82.364113 146.945045 \nL 78.165868 140.573939 \nL 74.285463 133.923383 \nL 70.836279 127.126461 \nL 67.937742 120.345758 \nL 65.710201 113.768326 \nL 64.268324 107.596688 \nL 63.713398 102.036096 \nL 64.12514 97.278905 \nL 65.553903 93.487921 \nL 68.014324 90.78109 \nL 71.481457 89.220258 \nL 75.89014 88.806024 \nL 81.138087 89.479923 \nL 87.092279 91.133357 \nL 93.598079 93.621677 \nL 100.489666 96.780679 \nL 107.600649 100.442656 \nL 114.773457 104.449888 \nL 121.866746 108.663956 \nL 128.760371 112.970883 \nL 135.357881 117.282421 \nL 141.586891 121.534477 \nL 147.39779 125.683872 \nL 152.761354 129.704303 \nL 157.66574 133.582281 \nL 162.113276 137.313433 \nL 166.117332 140.899486 \nL 169.699462 144.345887 \nL 172.886907 147.660064 \nL 175.710513 150.850229 \nL 178.203035 153.924603 \nL 180.397817 156.890946 \nL 182.327792 159.756321 \nL 184.024761 162.527001 \nL 185.518897 165.208457 \nL 188.009508 170.321949 \nL 190.000061 175.12711 \nL 192.405167 181.803441 \nL 195.182994 189.78487 \nL 196.605147 193.397925 \nL 198.154214 196.760926 \nL 199.901039 199.868326 \nL 201.915766 202.707232 \nL 203.046296 204.019372 \nL 204.271756 205.254916 \nL 205.602379 206.408898 \nL 207.048999 207.475214 \nL 208.623133 208.446417 \nL 210.337042 209.313491 \nL 212.203791 210.065578 \nL 214.237277 210.689662 \nL 216.452239 211.170221 \nL 218.86424 211.488807 \nL 221.489593 211.623605 \nL 224.345231 211.548919 \nL 227.448518 211.234656 \nL 230.816932 210.645773 \nL 234.467638 209.741754 \nL 238.416899 208.476145 \nL 242.679269 206.796255 \nL 247.266535 204.643081 \nL 252.186363 201.951669 \nL 257.440565 198.652074 \nL 263.022963 194.671188 \nL 268.916773 189.935752 \nL 275.091577 184.376909 \nL 281.499811 177.936628 \nL 288.073009 170.576321 \nL 294.718014 162.287683 \nL 301.313518 153.105442 \nL 307.70763 143.12118 \nL 313.717268 132.496418 \nL 319.130334 121.472254 \nL 323.711796 110.372056 \nL 327.214445 99.593269 \nL 329.394837 89.585001 \nL 330.033708 80.810604 \nL 328.959107 73.697811 \nL 326.069182 68.583995 \nL 321.350319 65.667621 \nL 314.886745 64.978097 \nL 306.858321 66.372989 \nL 297.526056 69.564159 \nL 287.207477 74.166354 \nL 276.246346 79.755726 \nL 264.98226 85.924216 \nL 242.736998 98.667108 \nL 190.230727 129.271151 \nL 178.574742 136.370465 \nL 169.346811 142.327685 \nL 162.044795 147.385183 \nL 153.655543 153.634116 \nL 147.133506 158.525692 \nL 143.29559 161.07712 \nL 141.438559 162.1365 \nL 139.59072 163.046654 \nL 137.731989 163.802307 \nL 135.845218 164.397134 \nL 133.916008 164.823878 \nL 131.932576 165.07448 \nL 129.885669 165.140243 \nL 127.768527 165.011977 \nL 125.576888 164.680243 \nL 123.309054 164.135631 \nL 120.965992 163.369061 \nL 118.551482 162.372244 \nL 116.072295 161.138151 \nL 113.538417 159.661617 \nL 110.963215 157.940038 \nL 108.363685 155.974111 \nL 105.760595 153.768688 \nL 103.178586 151.333639 \nL 100.646182 148.68469 \nL 98.195668 145.844223 \nL 95.862779 142.841849 \nL 93.686205 139.714783 \nL 91.706825 136.507846 \nL 89.966722 133.272979 \nL 88.507904 130.068288 \nL 87.37081 126.956429 \nL 86.592605 124.002501 \nL 86.205416 121.271426 \nL 86.234545 118.824982 \nL 86.696801 116.718773 \nL 87.599195 114.999373 \nL 88.937972 113.701865 \nL 90.698246 112.84819 \nL 92.854183 112.446311 \nL 95.36984 112.490425 \nL 98.200574 112.962067 \nL 101.294856 113.832064 \nL 104.596475 115.062957 \nL 108.046803 116.611721 \nL 111.58707 118.432507 \nL 115.160412 120.479028 \nL 118.713616 122.706637 \nL 122.198462 125.073787 \nL 125.572663 127.543062 \nL 128.800382 130.081648 \nL 131.852357 132.661464 \nL 134.705747 135.258963 \nL 137.343709 137.854735 \nL 139.754832 140.432993 \nL 141.932437 142.981042 \nL 143.873852 145.488687 \nL 145.579659 147.947751 \nL 147.052997 150.351603 \nL 148.298899 152.694756 \nL 149.323711 154.972554 \nL 150.134567 157.180871 \nL 150.738953 159.315894 \nL 151.144355 161.373929 \nL 151.357951 163.351259 \nL 151.386394 165.243976 \nL 151.23563 167.047887 \nL 150.910778 168.758412 \nL 150.41605 170.370446 \nL 149.754721 171.878279 \nL 148.929111 173.275494 \nL 147.940609 174.554858 \nL 146.789723 175.708203 \nL 145.476164 176.726319 \nL 143.99894 177.598861 \nL 142.356484 178.314211 \nL 140.546823 178.859393 \nL 138.567769 179.219992 \nL 136.417153 179.380084 \nL 134.093101 179.322219 \nL 131.59436 179.027443 \nL 128.920705 178.475436 \nL 126.073381 177.644694 \nL 123.055629 176.512913 \nL 119.873306 175.0575 \nL 116.535559 173.256321 \nL 113.055595 171.088698 \nL 109.451489 168.5367 \nL 105.747046 165.586789 \nL 101.97265 162.231749 \nL 98.166073 158.47294 \nL 94.373134 154.322822 \nL 90.648109 149.807519 \nL 87.053807 144.969281 \nL 83.661147 139.868545 \nL 80.548096 134.58514 \nL 77.797835 129.218314 \nL 75.496088 123.885042 \nL 73.727638 118.716415 \nL 72.572016 113.851874 \nL 72.098707 109.431531 \nL 72.362173 105.58714 \nL 73.397191 102.432512 \nL 75.215068 100.054818 \nL 77.801242 98.507722 \nL 81.114694 97.807765 \nL 85.089386 97.934287 \nL 89.637685 98.833132 \nL 94.655361 100.423356 \nL 100.027699 102.605803 \nL 105.635938 105.272384 \nL 111.363445 108.314514 \nL 117.101037 111.630129 \nL 122.751084 115.128465 \nL 128.230199 118.732754 \nL 133.470611 122.381073 \nL 138.42034 126.025707 \nL 143.042434 129.631621 \nL 147.313584 133.174437 \nL 151.222311 136.638282 \nL 154.767018 140.013789 \nL 157.954009 143.296309 \nL 160.795638 146.484483 \nL 163.308641 149.579102 \nL 165.512685 152.582249 \nL 167.429158 155.496717 \nL 169.080179 158.325604 \nL 170.487817 161.072022 \nL 171.673491 163.73896 \nL 172.657538 166.329184 \nL 173.458898 168.845211 \nL 174.094917 171.289289 \nL 174.581234 173.663408 \nL 174.931732 175.969314 \nL 175.272056 180.382322 \nL 175.192646 184.537844 \nL 174.744987 188.442092 \nL 173.957883 192.097707 \nL 172.839956 195.50313 \nL 171.381658 198.651414 \nL 170.517275 200.125072 \nL 169.556669 201.528474 \nL 168.494052 202.858318 \nL 167.322654 204.110477 \nL 166.034706 205.279858 \nL 164.621452 206.360231 \nL 163.073117 207.344024 \nL 161.378915 208.222101 \nL 159.52704 208.983485 \nL 157.504681 209.615057 \nL 155.298046 210.101191 \nL 152.892429 210.423368 \nL 150.272302 210.559719 \nL 147.421469 210.484548 \nL 144.323297 210.167813 \nL 140.961041 209.574611 \nL 137.318298 208.664673 \nL 133.379617 207.391951 \nL 129.131312 205.704342 \nL 124.562537 203.543697 \nL 119.66665 200.846222 \nL 114.442937 197.543512 \nL 108.89873 193.564443 \nL 103.051996 188.838235 \nL 96.934312 183.299045 \nL 90.594283 176.89236 \nL 84.101163 169.583495 \nL 77.548513 161.368211 \nL 71.057422 152.285082 \nL 64.778703 142.428746 \nL 58.893263 131.962205 \nL 53.609687 121.125663 \nL 49.158037 110.238318 \nL 45.779087 99.689599 \nL 43.70865 89.916726 \nL 43.157727 81.368074 \nL 44.290198 74.454986 \nL 47.201084 69.49957 \nL 51.899462 66.688869 \nL 58.299752 66.047051 \nL 66.224262 67.433569 \nL 75.417467 70.568779 \nL 85.569856 75.080568 \nL 96.347036 80.560096 \nL 107.418888 86.613501 \nL 129.28722 99.153114 \nL 166.678767 121.037664 \nL 180.990616 129.582418 \nL 192.493375 136.735854 \nL 201.607431 142.776725 \nL 208.824435 147.937352 \nL 214.622245 152.379897 \nL 223.589291 159.454295 \nL 227.404931 162.145886 \nL 229.255666 163.277352 \nL 231.100747 164.260681 \nL 232.960605 165.090359 \nL 234.852845 165.759732 \nL 236.792415 166.26114 \nL 238.79174 166.585998 \nL 240.860811 166.724918 \nL 243.007223 166.667869 \nL 245.236149 166.404384 \nL 247.550281 165.923765 \nL 249.9497 165.215443 \nL 252.431713 164.269344 \nL 254.99064 163.076396 \nL 257.617558 161.629118 \nL 260.300065 159.922337 \nL 263.022004 157.954002 \nL 265.763203 155.726062 \nL 268.49932 153.245495 \nL 271.201708 150.525252 \nL 273.837454 147.585263 \nL 276.369585 144.453245 \nL 278.757476 141.165312 \nL 280.957508 137.766234 \nL 282.924063 134.309213 \nL 284.610775 130.855077 \nL 285.972107 127.470823 \nL 286.965156 124.227464 \nL 287.551683 121.197238 \nL 287.700135 118.450343 \nL 287.387643 116.051426 \nL 286.601714 114.056107 \nL 285.341549 112.507921 \nL 283.618717 111.436023 \nL 281.457238 110.853875 \nL 278.892838 110.75906 \nL 275.971601 111.134338 \nL 272.747999 111.9496 \nL 269.282486 113.164649 \nL 265.638909 114.732338 \nL 261.881873 116.601748 \nL 258.074329 118.721138 \nL 254.275485 121.040421 \nL 250.539183 123.513007 \nL 246.912732 126.097026 \nL 243.436255 128.755957 \nL 240.142479 131.458789 \nL 237.056885 134.179798 \nL 234.198154 136.898049 \nL 231.578824 139.596822 \nL 229.206061 142.262935 \nL 227.082507 144.886091 \nL 225.20711 147.458265 \nL 223.575932 149.973177 \nL 222.18291 152.425841 \nL 221.020505 154.812181 \nL 220.080291 157.128732 \nL 219.353456 159.372381 \nL 218.831195 161.540175 \nL 218.505049 163.629151 \nL 218.367158 165.636222 \nL 218.410455 167.558017 \nL 218.62881 169.390827 \nL 219.017113 171.130455 \nL 219.571336 172.772162 \nL 220.288543 174.310545 \nL 221.166891 175.739416 \nL 222.205582 177.051739 \nL 223.404803 178.239462 \nL 224.76566 179.293422 \nL 226.290049 180.203219 \nL 227.980543 180.957075 \nL 229.840232 181.541708 \nL 231.872523 181.942226 \nL 234.080916 182.142025 \nL 236.468726 182.122716 \nL 239.038753 181.864132 \nL 241.792885 181.344352 \nL 244.73163 180.539888 \nL 247.853578 179.425994 \nL 251.154741 177.977117 \nL 254.627835 176.167615 \nL 258.261439 173.972761 \nL 262.039097 171.370046 \nL 265.938311 168.340918 \nL 269.929549 164.872852 \nL 273.975249 160.961881 \nL 278.028965 156.61547 \nL 282.03467 151.855573 \nL 285.926473 146.721708 \nL 289.628814 141.273683 \nL 293.057377 135.593539 \nL 296.120839 129.786208 \nL 298.723615 123.9783 \nL 300.769668 118.314545 \nL 302.167249 112.951685 \nL 302.834467 108.049795 \nL 302.705138 103.761709 \nL 301.734499 100.221489 \nL 299.903991 97.533549 \nL 297.224504 95.763873 \nL 293.737515 94.93491 \nL 289.513735 95.025027 \nL 284.649384 95.972616 \nL 279.260388 97.684102 \nL 273.475237 100.044385 \nL 267.427336 102.928133 \nL 261.247642 106.210135 \nL 255.058394 109.773706 \nL 248.968295 113.516337 \nL 243.069422 117.352694 \nL 237.435748 121.215313 \nL 232.123081 125.053559 \nL 227.170085 128.831497 \nL 222.600037 132.525343 \nL 218.423 136.120748 \nL 214.638156 139.610404 \nL 211.236097 142.991935 \nL 208.200952 146.266252 \nL 205.512265 149.436292 \nL 203.146607 152.506088 \nL 201.0789 155.480158 \nL 199.283477 158.363072 \nL 197.734912 161.159238 \nL 196.408627 163.872767 \nL 195.281336 166.507385 \nL 194.331341 169.06648 \nL 193.538705 171.553072 \nL 192.355036 176.31936 \nL 191.607823 180.824971 \nL 191.20257 185.085417 \nL 191.069679 189.113873 \nL 191.160809 192.92171 \nL 191.445396 196.518762 \nL 191.907691 199.913355 \nL 192.544466 203.112158 \nL 193.363415 206.119841 \nL 194.382252 208.938528 \nL 195.628416 211.56696 \nL 197.139365 213.99926 \nL 198.963377 216.223158 \nL 200.011131 217.250746 \nL 201.160822 218.217362 \nL 202.422156 219.118322 \nL 203.805826 219.947822 \nL 205.323563 220.698725 \nL 206.988211 221.362307 \nL 208.813781 221.927942 \nL 210.815504 222.382747 \nL 213.009863 222.711162 \nL 215.414602 222.894448 \nL 218.048709 222.910135 \nL 220.932331 222.731364 \nL 224.086629 222.326162 \nL 227.533531 221.656679 \nL 231.29536 220.678336 \nL 235.394286 219.339021 \nL 239.851531 217.578327 \nL 244.686323 215.327002 \nL 249.914433 212.506754 \nL 255.546299 209.030654 \nL 261.584565 204.80448 \nL 268.021016 199.729444 \nL 274.832775 193.706801 \nL 281.9778 186.645015 \nL 289.389723 178.470032 \nL 296.972274 169.139144 \nL 304.593693 158.658452 \nL 312.081981 147.103215 \nL 319.221972 134.639066 \nL 325.755796 121.540519 \nL 331.388459 108.201199 \nL 335.800187 95.129237 \nL 338.666703 82.921111 \nL 339.687237 72.210367 \nL 338.618145 63.593604 \nL 335.307392 57.544624 \nL 329.723464 54.335636 \nL 321.971419 53.987606 \nL 312.290591 56.266349 \nL 301.032716 60.727931 \nL 288.623972 66.800635 \nL 275.519059 73.879748 \nL 224.02497 102.829166 \nL 212.746262 108.880477 \nL 202.386029 114.275096 \nL 184.503089 123.206692 \nL 170.195441 130.042274 \nL 146.570823 140.986191 \nL 137.91373 144.888584 \nL 133.49 146.729529 \nL 129.766067 148.050624 \nL 126.506634 148.891093 \nL 123.542958 149.272174 \nL 120.762098 149.206666 \nL 118.097735 148.706322 \nL 115.522573 147.788007 \nL 113.042062 146.479105 \nL 110.688833 144.822174 \nL 108.517301 142.878518 \nL 106.597684 140.730075 \nL 105.00911 138.47881 \nL 103.831529 136.243015 \nL 103.13669 134.150192 \nL 102.988181 133.197311 \nL 102.978861 132.326948 \nL 103.111388 131.552864 \nL 103.38639 130.887303 \nL 103.802353 130.340675 \nL 104.355547 129.921308 \nL 105.040043 129.635247 \nL 105.847794 129.486182 \nL 106.768772 129.475409 \nL 107.791199 129.601897 \nL 110.086002 130.251816 \nL 112.613307 131.387946 \nL 115.245404 132.939186 \nL 117.855994 134.82062 \nL 120.328788 136.941951 \nL 122.563551 139.214005 \nL 124.479361 141.552818 \nL 126.015309 143.881547 \nL 127.129277 146.130718 \nL 127.795564 148.237361 \nL 128.002088 150.14372 \nL 127.932224 151.004816 \nL 127.747728 151.795843 \nL 127.449836 152.510453 \nL 127.040249 153.142425 \nL 126.521114 153.68565 \nL 125.895035 154.134137 \nL 125.165078 154.482022 \nL 124.3348 154.72362 \nL 123.408292 154.85347 \nL 122.39024 154.866413 \nL 121.285991 154.757668 \nL 120.101619 154.52297 \nL 117.521028 153.662002 \nL 114.715112 152.26528 \nL 111.767736 150.333886 \nL 108.781952 147.895374 \nL 105.880475 145.011098 \nL 103.203558 141.782052 \nL 100.903381 138.351054 \nL 99.943086 136.615144 \nL 99.134336 134.899079 \nL 98.494506 133.229571 \nL 98.039225 131.633842 \nL 97.781824 130.138876 \nL 97.732815 128.770577 \nL 97.8994 127.552958 \nL 98.285083 126.507321 \nL 98.889396 125.651535 \nL 99.70774 124.999489 \nL 100.731367 124.560661 \nL 101.947566 124.339928 \nL 103.339927 124.337605 \nL 104.888828 124.549624 \nL 106.571971 124.967977 \nL 108.365022 125.581228 \nL 110.242324 126.375174 \nL 112.177576 127.33351 \nL 116.117542 129.671728 \nL 119.985811 132.448279 \nL 123.608569 135.519155 \nL 126.846268 138.75415 \nL 129.596304 142.041223 \nL 131.790717 145.286276 \nL 132.666496 146.867896 \nL 133.390754 148.410397 \nL 133.962096 149.905644 \nL 134.380101 151.345935 \nL 134.645139 152.72391 \nL 134.758188 154.03242 \nL 134.720698 155.264437 \nL 134.534466 156.412965 \nL 134.201546 157.470941 \nL 133.724189 158.431217 \nL 133.104801 159.286459 \nL 132.345941 160.029134 \nL 131.450334 160.65149 \nL 130.420915 161.145537 \nL 129.260907 161.503081 \nL 127.973918 161.715747 \nL 126.564057 161.775076 \nL 125.036084 161.672602 \nL 123.395573 161.400028 \nL 121.64911 160.949406 \nL 119.804489 160.313375 \nL 117.870936 159.485492 \nL 115.859344 158.460559 \nL 113.782478 157.235069 \nL 111.655218 155.807687 \nL 109.494738 154.179783 \nL 107.320661 152.355994 \nL 105.155146 150.344795 \nL 103.022924 148.159072 \nL 100.951206 145.816609 \nL 98.969458 143.340475 \nL 97.109073 140.759221 \nL 95.402818 138.106868 \nL 93.884157 135.42257 \nL 92.58639 132.74999 \nL 91.541618 130.136246 \nL 90.779589 127.630575 \nL 90.326491 125.282615 \nL 90.203695 123.140478 \nL 90.426619 121.24873 \nL 91.003721 119.646414 \nL 91.935726 118.365246 \nL 93.21524 117.428244 \nL 94.826675 116.848852 \nL 96.746606 116.630613 \nL 98.944535 116.7675 \nL 101.383964 117.244809 \nL 104.023771 118.040465 \nL 106.81973 119.126642 \nL 109.726121 120.471565 \nL 112.697244 122.041264 \nL 115.68886 123.801153 \nL 118.659383 125.7174 \nL 121.570796 127.757948 \nL 124.389335 129.89326 \nL 127.085883 132.096735 \nL 129.636102 134.344869 \nL 132.020364 136.617246 \nL 134.223509 138.89633 \nL 136.234482 141.167201 \nL 138.045867 143.417207 \nL 139.653386 145.635624 \nL 141.055386 147.813306 \nL 142.252328 149.942355 \nL 143.246303 152.015853 \nL 144.040598 154.02757 \nL 144.639292 155.971746 \nL 145.046938 157.842917 \nL 145.268247 159.635705 \nL 145.307883 161.344707 \nL 145.170262 162.96434 \nL 144.859413 164.488724 \nL 144.378891 165.911579 \nL 143.731711 167.226122 \nL 142.920339 168.424985 \nL 141.946695 169.500091 \nL 140.812206 170.4426 \nL 139.517883 171.242843 \nL 138.064422 171.890226 \nL 136.452359 172.373211 \nL 134.682234 172.679288 \nL 132.754803 172.794977 \nL 130.6713 172.705897 \nL 128.433714 172.396868 \nL 126.045142 171.852086 \nL 123.510165 171.055425 \nL 120.835277 169.99082 \nL 118.029385 168.642791 \nL 115.104315 166.997135 \nL 112.075354 165.041812 \nL 108.961844 162.767987 \nL 105.787726 160.17128 \nL 102.582046 157.253212 \nL 99.379364 154.022719 \nL 96.220043 150.497791 \nL 93.150282 146.706978 \nL 90.221868 142.690709 \nL 87.491535 138.502169 \nL 85.019925 134.207531 \nL 82.869989 129.885312 \nL 81.104915 125.624645 \nL 79.785551 121.522351 \nL 78.967457 117.678888 \nL 78.697739 114.193266 \nL 79.011922 111.157348 \nL 79.931096 108.650154 \nL 81.459729 106.732698 \nL 83.584363 105.444041 \nL 86.273412 104.79916 \nL 89.478213 104.788846 \nL 93.135178 105.381648 \nL 97.168964 106.527598 \nL 101.496296 108.163076 \nL 106.030047 110.216261 \nL 110.683291 112.612318 \nL 115.372905 115.278031 \nL 120.022519 118.145253 \nL 124.564684 121.153362 \nL 128.942185 124.250457 \nL 133.108615 127.393665 \nL 137.028265 130.548754 \nL 140.675519 133.689231 \nL 144.033884 136.795261 \nL 147.0948 139.852445 \nL 149.856371 142.850708 \nL 152.322061 145.783259 \nL 154.499485 148.645716 \nL 156.399296 151.435423 \nL 158.034194 154.150884 \nL 159.418095 156.791331 \nL 160.565424 159.356417 \nL 161.490556 161.845996 \nL 162.207363 164.259958 \nL 162.728871 166.598081 \nL 163.067011 168.859975 \nL 163.232442 171.045001 \nL 163.234429 173.152222 \nL 163.080785 175.180329 \nL 162.777831 177.127602 \nL 162.3304 178.991847 \nL 161.741859 180.770313 \nL 161.01414 182.459649 \nL 160.147788 184.05577 \nL 159.142018 185.553782 \nL 157.994775 186.947841 \nL 156.702802 188.231034 \nL 155.26171 189.395212 \nL 153.666062 190.43082 \nL 151.909469 191.326695 \nL 149.984709 192.069872 \nL 147.883851 192.64534 \nL 145.598428 193.03582 \nL 143.119645 193.221527 \nL 140.438647 193.179941 \nL 137.546837 192.885611 \nL 134.436303 192.310037 \nL 131.100333 191.421604 \nL 127.534043 190.185711 \nL 123.735179 188.565074 \nL 119.705054 186.520331 \nL 115.44968 184.011051 \nL 110.981081 180.99725 \nL 106.318816 177.441483 \nL 101.491624 173.311737 \nL 96.539188 168.585121 \nL 91.51394 163.252419 \nL 86.48265 157.323391 \nL 81.527725 150.832563 \nL 76.74781 143.8451 \nL 72.257413 136.461876 \nL 68.185203 128.822809 \nL 64.670496 121.107171 \nL 61.857821 113.529646 \nL 59.889389 106.331092 \nL 58.895776 99.763838 \nL 58.985441 94.072095 \nL 60.234159 89.469746 \nL 62.675811 86.118611 \nL 66.295971 84.11114 \nL 71.029664 83.461051 \nL 76.763977 84.103958 \nL 83.345521 85.908132 \nL 90.591706 88.692981 \nL 98.304279 92.251514 \nL 106.283235 96.372588 \nL 114.339224 100.85929 \nL 122.303286 105.541579 \nL 130.033203 110.282721 \nL 137.416537 114.98026 \nL 144.370803 119.563241 \nL 150.841482 123.987184 \nL 156.798703 128.228279 \nL 162.233228 132.27777 \nL 167.152291 136.137078 \nL 171.575647 139.813904 \nL 175.53207 143.319345 \nL 179.056354 146.665825 \nL 182.186878 149.865802 \nL 184.963681 152.930926 \nL 187.426995 155.871646 \nL 189.61618 158.697043 \nL 193.321 164.031209 \nL 196.353296 168.979698 \nL 204.753309 183.563833 \nL 207.187088 186.954521 \nL 208.489197 188.510629 \nL 209.86619 189.968284 \nL 211.331114 191.321968 \nL 212.89679 192.564958 \nL 212.89679 192.564958 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pdd36bb62c1\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"284.96493pt\" version=\"1.1\" viewBox=\"0 0 293.254083 284.96493\" width=\"293.254083pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:23:01.177580</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 284.96493 \nL 293.254083 284.96493 \nL 293.254083 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 58.976024 218.044889 \nL 145.164279 142.753018 \nL 145.220783 35.72808 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 92.310537 228.931941 \nL 176.659418 151.907412 \nL 178.088302 44.059038 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 126.450646 240.082101 \nL 208.851464 161.264369 \nL 211.715135 52.58246 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 161.425913 251.505023 \nL 241.763807 170.830688 \nL 246.127905 61.305094 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 59.727045 217.388817 \nL 57.470734 219.359873 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(40.917687 241.510595)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 93.046248 228.260115 \nL 90.835894 230.278535 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- 0 -->\n     <g transform=\"translate(81.659765 252.629099)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 127.170085 239.393947 \nL 125.008582 241.461459 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 10 -->\n     <g transform=\"translate(112.659072 264.017336)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 162.128058 250.799938 \nL 160.018474 252.918356 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 20 -->\n     <g transform=\"translate(147.679025 275.685243)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_6\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 30.508308 88.694349 \nL 35.512351 200.80793 \nL 184.232143 248.865536 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 47.257044 76.471884 \nL 51.457929 187.44203 \nL 198.681443 234.036999 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 63.490617 64.625362 \nL 66.934065 174.469626 \nL 212.683209 219.667743 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 79.232436 53.137699 \nL 81.961188 161.873594 \nL 226.257914 205.736756 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 94.504512 41.992834 \nL 96.558559 149.637788 \nL 239.424803 192.224289 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.327561 31.175648 \nL 110.744354 137.746973 \nL 252.201982 179.111759 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_7\">\n     <path d=\"M 182.979012 248.460597 \nL 186.741638 249.676459 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- −20 -->\n     <g transform=\"translate(186.534133 269.857432)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 197.441907 233.644696 \nL 201.163665 234.8226 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −10 -->\n     <g transform=\"translate(200.789613 254.809372)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 211.457032 219.287495 \nL 215.138629 220.429191 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 0 -->\n     <g transform=\"translate(221.974399 240.227662)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 225.044864 205.368015 \nL 228.687 206.475147 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 10 -->\n     <g transform=\"translate(232.185278 226.090954)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 238.224651 191.86654 \nL 241.828017 192.940655 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 20 -->\n     <g transform=\"translate(245.17485 212.379184)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 251.014502 178.764518 \nL 254.579781 179.807071 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 30 -->\n     <g transform=\"translate(257.779747 199.073476)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_13\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.14356 154.120846 \nL 114.939415 113.79498 \nL 26.262456 186.291355 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.017588 135.034322 \nL 114.727043 95.326618 \nL 25.320575 166.732583 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.905206 115.651008 \nL 114.511529 76.584939 \nL 24.363483 146.857954 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.806734 95.963928 \nL 114.292801 57.563829 \nL 23.39081 126.659754 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.722503 75.965886 \nL 114.070788 38.256993 \nL 22.40217 106.130016 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_14\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.9496 153.782266 \nL 259.534344 154.798818 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 10 -->\n     <g transform=\"translate(269.181825 159.155358)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 256.814068 134.700811 \nL 260.427535 135.70215 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 20 -->\n     <g transform=\"translate(270.194716 140.107269)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 257.691973 115.322765 \nL 261.334627 116.308294 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 30 -->\n     <g transform=\"translate(271.223309 120.763898)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 258.58363 95.64116 \nL 262.255945 96.610258 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 40 -->\n     <g transform=\"translate(272.267971 101.118325)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 259.489366 75.648806 \nL 263.191828 76.600829 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 50 -->\n     <g transform=\"translate(273.329083 81.163413)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_20\">\n    <path clip-path=\"url(#p838d547fc8)\" d=\"M 133.683874 193.035513 \nL 133.92259 192.158252 \nL 134.457933 191.50509 \nL 135.267716 190.953204 \nL 137.028244 190.134667 \nL 152.524191 183.857422 \nL 157.891789 181.352438 \nL 164.463082 178.008943 \nL 172.42117 173.537646 \nL 176.965801 170.768432 \nL 181.899369 167.576382 \nL 187.217032 163.908407 \nL 192.897095 159.712615 \nL 198.894634 154.943167 \nL 205.133714 149.567529 \nL 211.49841 143.576732 \nL 217.823117 136.999076 \nL 223.883337 129.917226 \nL 229.389015 122.48768 \nL 233.983711 114.959794 \nL 237.254122 107.688986 \nL 238.755548 101.135619 \nL 238.058039 95.838493 \nL 234.814437 92.352647 \nL 228.843088 91.148765 \nL 220.205726 92.488756 \nL 209.249866 96.315051 \nL 196.585828 102.206053 \nL 182.989115 109.437158 \nL 156.056301 124.502938 \nL 143.861245 130.920581 \nL 132.91656 136.06193 \nL 123.290077 139.841426 \nL 114.93297 142.344302 \nL 107.737615 143.745022 \nL 101.578725 144.244612 \nL 96.337087 144.033455 \nL 91.910316 143.275081 \nL 88.215607 142.103307 \nL 85.188259 140.626126 \nL 82.778295 138.931937 \nL 80.946442 137.095642 \nL 79.660146 135.183535 \nL 78.88992 133.256543 \nL 78.606283 131.371922 \nL 78.777334 129.583582 \nL 79.367155 127.941408 \nL 80.334997 126.489926 \nL 81.635282 125.266714 \nL 83.218325 124.300899 \nL 85.031626 123.61204 \nL 87.021516 123.209639 \nL 89.134971 123.09329 \nL 91.321352 123.253497 \nL 93.533919 123.673049 \nL 95.730979 124.328759 \nL 97.876651 125.193338 \nL 99.941192 126.237244 \nL 101.900981 127.430356 \nL 103.738207 128.743337 \nL 105.440344 130.148675 \nL 106.999501 131.621388 \nL 108.411701 133.139418 \nL 109.676173 134.683781 \nL 110.794655 136.238523 \nL 112.609486 139.32928 \nL 113.898429 142.336 \nL 114.71165 145.214422 \nL 115.097785 147.942286 \nL 115.098163 150.51145 \nL 114.743698 152.921862 \nL 114.053603 155.177102 \nL 113.035221 157.281075 \nL 111.68454 159.235393 \nL 109.987146 161.03703 \nL 107.919568 162.675945 \nL 105.451164 164.132266 \nL 102.546914 165.372807 \nL 99.171692 166.346711 \nL 97.298041 166.711667 \nL 95.296953 166.980175 \nL 93.16756 167.138465 \nL 90.910949 167.17062 \nL 88.530764 167.058449 \nL 86.033936 166.781453 \nL 83.431497 166.316884 \nL 80.739506 165.63998 \nL 77.980035 164.724432 \nL 75.182174 163.543168 \nL 72.382988 162.06951 \nL 69.628288 160.278817 \nL 66.973098 158.150648 \nL 64.481551 155.671481 \nL 62.226086 152.837893 \nL 60.285617 149.660069 \nL 58.74256 146.165281 \nL 57.678581 142.400871 \nL 57.169153 138.436108 \nL 57.277313 134.362196 \nL 58.047153 130.289828 \nL 59.497984 126.343907 \nL 61.620114 122.655514 \nL 64.373186 119.351835 \nL 67.687657 116.545271 \nL 71.469452 114.323475 \nL 75.607234 112.741892 \nL 79.981233 111.820169 \nL 84.472222 111.542815 \nL 88.969452 111.863817 \nL 93.376562 112.714058 \nL 97.615122 114.010028 \nL 101.62584 115.66245 \nL 105.3679 117.583545 \nL 108.817025 119.692462 \nL 111.962835 121.918632 \nL 114.806004 124.203266 \nL 117.355547 126.499457 \nL 119.626413 128.771313 \nL 121.637485 130.992561 \nL 123.409973 133.144926 \nL 126.32857 137.200545 \nL 128.558846 140.895686 \nL 130.26345 144.232895 \nL 132.135713 148.623015 \nL 136.187952 159.157842 \nL 137.043764 160.675896 \nL 138.013459 162.023056 \nL 139.134598 163.198928 \nL 140.446709 164.197154 \nL 141.993159 165.004789 \nL 143.82276 165.601282 \nL 145.991067 165.956958 \nL 148.56121 166.030962 \nL 151.603956 165.768629 \nL 155.196393 165.098422 \nL 159.418258 163.928759 \nL 164.344306 162.145685 \nL 167.090136 160.98238 \nL 170.030322 159.613261 \nL 173.165003 158.018969 \nL 176.489468 156.18021 \nL 179.992607 154.078756 \nL 183.65509 151.698865 \nL 187.447262 149.029197 \nL 191.326851 146.065316 \nL 195.236547 142.812804 \nL 199.101725 139.290993 \nL 202.828612 135.537121 \nL 206.303382 131.610587 \nL 209.392791 127.596711 \nL 211.947145 123.609072 \nL 213.806313 119.789163 \nL 214.809464 116.302006 \nL 214.808608 113.326405 \nL 213.685349 111.039194 \nL 211.368942 109.594236 \nL 207.852567 109.098794 \nL 203.203889 109.592044 \nL 197.566011 111.03159 \nL 191.146811 113.293239 \nL 184.197384 116.186152 \nL 176.983808 119.48072 \nL 144.28002 135.047135 \nL 134.692821 139.091376 \nL 127.182778 141.957353 \nL 115.116767 146.379961 \nL 112.019913 147.726781 \nL 108.333675 149.648958 \nL 101.123013 153.74041 \nL 98.92422 154.670137 \nL 96.55111 155.409625 \nL 93.978878 155.904208 \nL 91.205081 156.093776 \nL 88.252373 155.913199 \nL 86.723911 155.662855 \nL 85.172817 155.294473 \nL 83.611027 154.799934 \nL 82.052904 154.171786 \nL 80.515332 153.403643 \nL 79.017705 152.490663 \nL 77.581829 151.430098 \nL 76.231696 150.221897 \nL 74.993092 148.869361 \nL 73.893022 147.379759 \nL 72.95895 145.764902 \nL 72.217841 144.041595 \nL 71.695035 142.231859 \nL 71.413002 140.362901 \nL 71.390052 138.466709 \nL 71.639081 136.579273 \nL 72.166501 134.739408 \nL 72.971433 132.9872 \nL 74.045278 131.362196 \nL 75.371764 129.901481 \nL 76.927452 128.637761 \nL 78.682719 127.59772 \nL 80.603109 126.800737 \nL 82.650942 126.258151 \nL 84.787053 125.973085 \nL 86.972454 125.940861 \nL 89.169864 126.149872 \nL 91.344934 126.582828 \nL 93.467163 127.218218 \nL 95.510457 128.03179 \nL 97.453376 128.997982 \nL 99.27909 130.091145 \nL 100.975133 131.286553 \nL 102.533001 132.561129 \nL 103.947641 133.893937 \nL 105.216919 135.266446 \nL 106.341065 136.66261 \nL 107.32216 138.068812 \nL 108.869937 140.868084 \nL 109.897036 143.596964 \nL 110.445029 146.213352 \nL 110.552939 148.692724 \nL 110.252769 151.021565 \nL 109.567219 153.192094 \nL 108.508945 155.198082 \nL 107.080965 157.0314 \nL 105.277929 158.679012 \nL 103.088233 160.119999 \nL 100.497137 161.322482 \nL 97.491242 162.240264 \nL 95.830453 162.573176 \nL 94.064902 162.809323 \nL 92.19657 162.937396 \nL 90.22922 162.944627 \nL 88.168865 162.816808 \nL 86.024297 162.538359 \nL 83.807648 162.092514 \nL 81.535001 161.461625 \nL 79.226993 160.627653 \nL 76.909378 159.57288 \nL 74.613505 158.280847 \nL 72.376608 156.737592 \nL 70.241831 154.933177 \nL 68.257855 152.863469 \nL 66.478036 150.5321 \nL 64.958932 147.952513 \nL 63.758162 145.149812 \nL 62.93157 142.162212 \nL 62.529831 139.04169 \nL 62.594701 135.853579 \nL 63.155235 132.674753 \nL 64.224461 129.59033 \nL 65.796972 126.688988 \nL 67.847893 124.057181 \nL 70.333518 121.773025 \nL 73.193653 119.900463 \nL 76.355456 118.484711 \nL 79.738292 117.549473 \nL 83.258987 117.096406 \nL 86.836807 117.106726 \nL 90.397653 117.544565 \nL 93.87709 118.361517 \nL 97.222114 119.501515 \nL 100.391749 120.90555 \nL 103.356669 122.515595 \nL 106.098142 124.277574 \nL 108.606573 126.143313 \nL 110.879888 128.071524 \nL 112.921915 130.028045 \nL 114.740911 131.985544 \nL 116.348246 133.922868 \nL 117.757321 135.824238 \nL 120.039262 139.477698 \nL 121.70515 142.895429 \nL 122.866327 146.064091 \nL 123.619168 148.991522 \nL 124.04201 151.696284 \nL 124.194933 154.201335 \nL 124.121054 156.530382 \nL 123.848404 158.705916 \nL 123.391877 160.748287 \nL 122.754907 162.675308 \nL 121.930744 164.502138 \nL 120.903267 166.241203 \nL 119.647361 167.902006 \nL 118.128894 169.490642 \nL 116.304423 171.00887 \nL 114.120744 172.4525 \nL 111.514567 173.80878 \nL 108.412704 175.052374 \nL 104.733486 176.139378 \nL 100.39056 176.998675 \nL 97.943798 177.310406 \nL 95.300973 177.519997 \nL 92.454751 177.604998 \nL 89.400509 177.538414 \nL 86.137532 177.288123 \nL 82.670502 176.816378 \nL 79.011339 176.079472 \nL 75.1814 175.027722 \nL 71.214031 173.605968 \nL 67.157373 171.754836 \nL 63.077246 169.413108 \nL 59.059796 166.521514 \nL 55.213387 163.028345 \nL 51.669041 158.897022 \nL 48.578537 154.115606 \nL 46.10919 148.707612 \nL 44.434494 142.742891 \nL 43.720348 136.346331 \nL 44.107471 129.701621 \nL 45.69196 123.04692 \nL 48.507374 116.660301 \nL 52.512462 110.834656 \nL 57.588424 105.845055 \nL 63.547863 101.914335 \nL 70.154503 99.18463 \nL 77.149856 97.701613 \nL 84.281048 97.415078 \nL 91.324146 98.194759 \nL 98.099245 99.856382 \nL 104.476391 102.190921 \nL 110.373716 104.990827 \nL 115.750573 108.069181 \nL 120.59846 111.270598 \nL 124.931906 114.474802 \nL 128.780596 117.594941 \nL 132.18319 120.57295 \nL 137.824011 125.979157 \nL 142.204681 130.588834 \nL 151.873433 141.246929 \nL 153.920584 143.058439 \nL 155.925181 144.43329 \nL 157.983299 145.405203 \nL 160.16578 145.993365 \nL 162.521593 146.205093 \nL 165.0793 146.038966 \nL 167.846525 145.48858 \nL 170.807485 144.547388 \nL 173.918834 143.214929 \nL 177.104461 141.504779 \nL 180.250515 139.45409 \nL 183.202662 137.133741 \nL 185.768565 134.65694 \nL 186.838711 133.407816 \nL 187.729107 132.1825 \nL 188.411922 131.006852 \nL 188.861181 129.907946 \nL 189.054084 128.913043 \nL 188.972379 128.048348 \nL 188.603698 127.337615 \nL 187.942701 126.80074 \nL 186.991948 126.452451 \nL 185.762332 126.301256 \nL 184.273027 126.348804 \nL 182.550871 126.589739 \nL 180.629268 127.012122 \nL 176.344454 128.326501 \nL 171.751946 130.109302 \nL 167.175577 132.16118 \nL 162.88272 134.310341 \nL 159.060591 136.436525 \nL 155.815282 138.472796 \nL 153.185773 140.393028 \nL 151.163857 142.194886 \nL 149.713485 143.885233 \nL 148.786297 145.470458 \nL 148.332604 146.951594 \nL 148.308318 148.322708 \nL 148.678763 149.57103 \nL 149.420301 150.67772 \nL 150.520506 151.618559 \nL 151.977374 152.364316 \nL 153.79781 152.880683 \nL 155.995439 153.127936 \nL 158.587571 153.060552 \nL 161.590961 152.627146 \nL 165.015819 151.771357 \nL 168.857426 150.434469 \nL 173.084641 148.56108 \nL 177.624915 146.109246 \nL 179.974053 144.660854 \nL 182.346251 143.066792 \nL 184.712599 141.334008 \nL 187.038272 139.474552 \nL 189.282327 137.506533 \nL 191.39776 135.454987 \nL 193.332015 133.352536 \nL 195.028032 131.239665 \nL 196.425932 129.164454 \nL 197.465424 127.18155 \nL 198.088918 125.350244 \nL 198.245268 123.73154 \nL 197.893853 122.38432 \nL 197.008685 121.360811 \nL 195.581968 120.701842 \nL 193.626608 120.432509 \nL 191.177103 120.55902 \nL 188.288512 121.067322 \nL 185.033404 121.92398 \nL 181.497078 123.079334 \nL 177.771676 124.472479 \nL 170.119538 127.708472 \nL 162.731627 131.142799 \nL 156.070904 134.42885 \nL 150.380643 137.401845 \nL 145.722582 140.040471 \nL 142.039255 142.40123 \nL 139.211008 144.563334 \nL 137.096617 146.596843 \nL 135.557752 148.550649 \nL 134.471541 150.452207 \nL 133.735504 152.312347 \nL 133.268109 154.131027 \nL 133.00707 155.902233 \nL 132.906377 158.451286 \nL 133.07187 160.845172 \nL 133.456645 163.059024 \nL 134.05205 165.072693 \nL 134.879618 166.867878 \nL 135.583106 167.933262 \nL 136.431724 168.88457 \nL 137.452294 169.711528 \nL 138.678167 170.400431 \nL 140.150156 170.932859 \nL 141.917619 171.284022 \nL 144.039612 171.420628 \nL 146.585916 171.298125 \nL 149.637594 170.8572 \nL 153.286475 170.019487 \nL 157.632461 168.682693 \nL 162.776879 166.715822 \nL 168.808986 163.956337 \nL 172.176749 162.220435 \nL 175.781242 160.213041 \nL 179.616435 157.90834 \nL 183.667537 155.281943 \nL 187.908314 152.313015 \nL 192.297992 148.987178 \nL 196.777816 145.300381 \nL 201.267481 141.263785 \nL 205.661798 136.909606 \nL 209.828172 132.297601 \nL 213.605798 127.521554 \nL 216.807627 122.714526 \nL 219.226508 118.051114 \nL 220.646747 113.744307 \nL 220.861932 110.034483 \nL 219.698689 107.168558 \nL 217.044144 105.369343 \nL 212.872493 104.798433 \nL 207.263871 105.520109 \nL 200.408493 107.476847 \nL 192.591398 110.486698 \nL 184.158646 114.267339 \nL 175.472391 118.482489 \nL 158.611582 126.929106 \nL 150.901568 130.673911 \nL 143.850865 133.917602 \nL 137.507524 136.623713 \nL 131.869756 138.813483 \nL 126.902794 140.543603 \nL 122.552897 141.887238 \nL 115.452466 143.713118 \nL 110.067654 144.808734 \nL 91.472754 148.035703 \nL 89.979704 148.00965 \nL 88.516211 147.814768 \nL 87.097946 147.433081 \nL 85.754623 146.854382 \nL 84.52709 146.078334 \nL 83.463862 145.11661 \nL 82.616824 143.994682 \nL 82.036052 142.75274 \nL 81.763986 141.445158 \nL 81.829551 140.137987 \nL 82.243092 138.904267 \nL 82.993116 137.817563 \nL 84.045635 136.944579 \nL 85.34644 136.338144 \nL 86.825973 136.032003 \nL 88.405929 136.038341 \nL 90.006309 136.348373 \nL 91.551748 136.935518 \nL 92.976229 137.76021 \nL 94.225833 138.775178 \nL 95.25958 139.930228 \nL 96.04883 141.175926 \nL 96.575723 142.465974 \nL 96.831225 143.758348 \nL 96.813192 145.01543 \nL 96.524762 146.203509 \nL 95.973266 147.291859 \nL 95.169731 148.251698 \nL 94.129009 149.0552 \nL 92.870525 149.674728 \nL 91.419534 150.082488 \nL 89.808828 150.250744 \nL 88.08061 150.152795 \nL 86.288319 149.764937 \nL 84.497879 149.069555 \nL 82.78781 148.059313 \nL 81.247517 146.742289 \nL 79.973044 145.147335 \nL 79.465621 144.261465 \nL 79.059935 143.328513 \nL 78.766238 142.35951 \nL 78.593414 141.367091 \nL 78.548618 140.36531 \nL 78.636935 139.369359 \nL 78.861089 138.395212 \nL 79.221219 137.459181 \nL 79.71475 136.57743 \nL 80.336363 135.76545 \nL 81.078094 135.037537 \nL 81.929523 134.406325 \nL 82.878077 133.882348 \nL 83.909427 133.473733 \nL 85.007921 133.185996 \nL 86.157083 133.021951 \nL 87.340093 132.981768 \nL 88.540252 133.063121 \nL 89.741412 133.261455 \nL 92.08693 133.981645 \nL 94.270042 135.074449 \nL 96.207817 136.459452 \nL 97.841855 138.054151 \nL 99.135873 139.781416 \nL 100.071457 141.573624 \nL 100.643247 143.373993 \nL 100.854444 145.135919 \nL 100.713145 146.821145 \nL 100.229776 148.397399 \nL 99.41561 149.835874 \nL 98.282411 151.108839 \nL 96.843087 152.187495 \nL 95.113342 153.040203 \nL 93.114278 153.631203 \nL 90.875902 153.920067 \nL 88.441399 153.862258 \nL 85.871879 153.411262 \nL 83.250969 152.522949 \nL 81.954413 151.903361 \nL 80.68819 151.162743 \nL 79.470131 150.299938 \nL 78.31951 149.315813 \nL 77.256766 148.213688 \nL 76.303094 146.999756 \nL 75.479932 145.683457 \nL 74.808297 144.277761 \nL 74.308035 142.799319 \nL 73.996982 141.268456 \nL 73.89009 139.708908 \nL 73.998567 138.147363 \nL 74.329121 136.612714 \nL 74.883342 135.13509 \nL 75.657325 133.744707 \nL 76.641558 132.470607 \nL 77.821105 131.339351 \nL 79.176114 130.373847 \nL 80.682584 129.59235 \nL 82.313348 129.007725 \nL 84.039193 128.627097 \nL 85.830027 128.451832 \nL 87.656001 128.477867 \nL 89.488515 128.696324 \nL 91.301051 129.094349 \nL 93.06978 129.656066 \nL 94.773985 130.363554 \nL 96.396247 131.197794 \nL 97.922454 132.139491 \nL 99.341674 133.169778 \nL 100.645911 134.270746 \nL 101.829783 135.425816 \nL 103.825823 137.839932 \nL 105.325229 140.31224 \nL 106.342413 142.768484 \nL 106.901328 145.156115 \nL 107.028381 147.439074 \nL 106.747661 149.59251 \nL 106.078155 151.598057 \nL 105.032572 153.439774 \nL 103.617463 155.10064 \nL 101.83446 156.559457 \nL 99.682597 157.787971 \nL 97.161841 158.748138 \nL 94.278056 159.389644 \nL 92.705095 159.571323 \nL 91.049761 159.647969 \nL 89.317786 159.609189 \nL 87.516898 159.443751 \nL 85.657213 159.139728 \nL 83.751614 158.684734 \nL 81.816133 158.06627 \nL 79.870312 157.2722 \nL 77.937482 156.291363 \nL 76.044941 155.114371 \nL 74.223947 153.73453 \nL 72.509517 152.148957 \nL 70.939905 150.359759 \nL 69.555752 148.375275 \nL 68.398837 146.211238 \nL 67.510447 143.891732 \nL 66.929374 141.449775 \nL 66.689652 138.927336 \nL 66.81818 136.374641 \nL 67.332461 133.848671 \nL 68.238692 131.410806 \nL 69.530492 129.12373 \nL 71.18845 127.047877 \nL 73.180656 125.237707 \nL 75.464201 123.738261 \nL 77.987527 122.582437 \nL 80.693378 121.789281 \nL 83.522008 121.363495 \nL 86.414327 121.296179 \nL 89.314659 121.566598 \nL 92.172905 122.144706 \nL 94.946008 122.994002 \nL 97.598715 124.074449 \nL 100.103711 125.345053 \nL 102.441259 126.76605 \nL 104.598493 128.30047 \nL 106.568506 129.915169 \nL 108.349345 131.581377 \nL 109.943015 133.274822 \nL 111.35454 134.975586 \nL 112.591122 136.66775 \nL 113.661423 138.338953 \nL 115.341571 141.583816 \nL 116.47308 144.663791 \nL 117.129275 147.56 \nL 117.372331 150.270371 \nL 117.25027 152.802055 \nL 116.796071 155.166267 \nL 116.027997 157.374834 \nL 114.950495 159.43778 \nL 113.555331 161.361455 \nL 111.822798 163.14677 \nL 109.723025 164.787182 \nL 107.217593 166.266101 \nL 104.26187 167.553375 \nL 100.808715 168.600572 \nL 98.88161 169.012537 \nL 96.814556 169.334881 \nL 94.604277 169.553483 \nL 92.249237 169.651735 \nL 89.750289 169.610317 \nL 87.111455 169.407028 \nL 84.340849 169.016689 \nL 81.451747 168.411226 \nL 78.463784 167.559971 \nL 75.404269 166.430269 \nL 72.309496 164.988541 \nL 69.225978 163.20189 \nL 66.211443 161.040391 \nL 63.335293 158.480108 \nL 60.678317 155.506882 \nL 58.331252 152.120773 \nL 56.391912 148.340806 \nL 54.960627 144.209529 \nL 54.13392 139.796556 \nL 53.996729 135.200127 \nL 54.61378 130.54566 \nL 56.021271 125.98051 \nL 58.220186 121.66468 \nL 61.172713 117.758127 \nL 64.802837 114.406174 \nL 69.001452 111.725372 \nL 73.635426 109.792338 \nL 78.559178 108.637625 \nL 83.626827 108.245711 \nL 88.702987 108.56069 \nL 93.670799 109.496166 \nL 98.436599 110.947195 \nL 102.931291 112.801981 \nL 107.109166 114.951733 \nL 110.945008 117.297751 \nL 114.430406 119.755524 \nL 117.569916 122.256326 \nL 120.37753 124.746876 \nL 122.873671 127.187814 \nL 125.082767 129.551579 \nL 128.746852 133.982773 \nL 131.585742 137.973575 \nL 133.802572 141.522733 \nL 136.343276 146.085108 \nL 139.599858 151.979437 \nL 140.850485 153.832063 \nL 142.184072 155.426256 \nL 143.662283 156.769716 \nL 145.342089 157.860646 \nL 147.278726 158.687315 \nL 148.360677 158.995002 \nL 148.360677 158.995002 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p838d547fc8\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,0], result_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Euler's method for training - benchmark time"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stderr",
-     "text": [
-      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:25: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n  self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_train_coeffs = {\"sigma\": 20*torch.rand(()), \"rho\": 20*torch.rand(()), \"beta\": 20*torch.rand(())} # Start with arbitrary values\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"euler\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(2.1258, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.9875, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.4151, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(11.2221, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(2.4854, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(8.9979, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(13.1528, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(6.7183, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(0.0670, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.7091, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(16.6104, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.8756, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.2568, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(19.2346, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6153, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(0.0047, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.1577, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(21.0428, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.4078, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(0.1226, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.9843, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(22.8022, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.5624, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(0.0098, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.9743, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(25.1578, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7153, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(2.3401e-05, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.9913, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(26.5359, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7329, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(1.3627e-05, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.9925, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.5330, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7013, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(8.2589e-07, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.0167, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9302, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6937, requires_grad=True)}\n",
-      "Epoch: 10\t Loss: tensor(8.4879e-06, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.0110, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9532, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6947, requires_grad=True)}\n",
-      "Epoch: 11\t Loss: tensor(1.1533e-05, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.0038, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9606, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6960, requires_grad=True)}\n",
-      "Epoch: 12\t Loss: tensor(2.5021e-06, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.9988, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9662, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6974, requires_grad=True)}\n",
-      "Epoch: 13\t Loss: tensor(2.5532e-07, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.9989, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9706, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6984, requires_grad=True)}\n",
-      "Epoch: 14\t Loss: tensor(1.5852e-07, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.0006, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9749, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6991, requires_grad=True)}\n",
-      "Epoch: 15\t Loss: tensor(1.0941e-08, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.0004, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9784, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6995, requires_grad=True)}\n",
-      "Epoch: 16\t Loss: tensor(4.2036e-09, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.0003, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9811, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6997, requires_grad=True)}\n",
-      "Epoch: 17\t Loss: tensor(4.0390e-07, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.0000, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9836, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6999, requires_grad=True)}\n",
-      "Epoch: 18\t Loss: tensor(7.6960e-08, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.9999, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9863, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6999, requires_grad=True)}\n",
-      "Epoch: 19\t Loss: tensor(2.8299e-08, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.0000, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.9884, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7000, requires_grad=True)}\n",
-      "Time elapsed:  104.24443912506104\n"
-     ]
-    }
-   ],
-   "source": [
-    "start = time.time()\n",
-    "\n",
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,\n",
-    "    torch.optim.Adam,\n",
-    "    {\"lr\": 0.5},\n",
-    "    max_epochs=20,\n",
-    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    scheduler_params={\"milestones\": [10],\"gamma\": 0.2}\n",
-    ")\n",
-    "\n",
-    "end = time.time()\n",
-    "print(\"Time elapsed: \", end-start)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'sigma': Parameter containing:\n",
-       " tensor(10.0000, requires_grad=True),\n",
-       " 'rho': Parameter containing:\n",
-       " tensor(27.9884, requires_grad=True),\n",
-       " 'beta': Parameter containing:\n",
-       " tensor(2.7000, requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 19
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt = 10000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "results_test = ode_solver_train(10000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stderr",
-     "text": [
-      "<ipython-input-21-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:24:49.201340</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m5fe44598d3\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"37.513655\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −20 -->\n      <g transform=\"translate(26.961312 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"77.307301\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −15 -->\n      <g transform=\"translate(66.754958 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"117.100948\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −10 -->\n      <g transform=\"translate(106.548604 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"156.894594\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- −5 -->\n      <g transform=\"translate(149.5235 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"196.68824\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0 -->\n      <g transform=\"translate(193.50699 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"236.481886\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5 -->\n      <g transform=\"translate(233.300636 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"276.275532\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(269.913032 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"316.069178\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 15 -->\n      <g transform=\"translate(309.706678 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"355.862824\" xlink:href=\"#m5fe44598d3\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(349.500324 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_10\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m9e1dd0af7d\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9e1dd0af7d\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9e1dd0af7d\" y=\"216.575439\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 220.374658)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9e1dd0af7d\" y=\"171.934878\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 175.734097)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9e1dd0af7d\" y=\"127.294317\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 131.093536)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9e1dd0af7d\" y=\"82.653756\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 86.452975)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m9e1dd0af7d\" y=\"38.013195\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 41.812414)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p4db2748fd2)\" d=\"M 204.646969 261.216 \nL 203.072732 261.158783 \nL 203.211423 261.12536 \nL 214.34598 259.524511 \nL 218.69 258.560241 \nL 224.117333 257.06188 \nL 227.310098 256.026617 \nL 230.866402 254.738386 \nL 234.822351 253.137128 \nL 239.215965 251.14958 \nL 244.086449 248.686957 \nL 249.473036 245.642569 \nL 255.413272 241.889609 \nL 261.940512 237.279518 \nL 269.080413 231.641577 \nL 276.84609 224.784701 \nL 285.231698 216.502836 \nL 294.204046 206.585861 \nL 303.692213 194.83827 \nL 313.5751 181.108131 \nL 323.667654 165.328213 \nL 333.70707 147.569446 \nL 343.341618 128.102914 \nL 352.126037 107.460291 \nL 359.529085 86.4742 \nL 364.959057 66.272279 \nL 367.812273 48.196687 \nL 367.544678 33.633041 \nL 363.759057 23.762764 \nL 356.290523 19.296 \nL 345.265632 20.276429 \nL 331.111597 26.044874 \nL 314.50516 35.391985 \nL 296.271747 46.846217 \nL 277.263671 58.985475 \nL 258.251956 70.666124 \nL 239.855907 81.121433 \nL 222.517061 89.945634 \nL 206.508993 97.013701 \nL 191.967928 102.385574 \nL 178.93019 106.224529 \nL 167.367158 108.739885 \nL 157.213352 110.152579 \nL 148.386642 110.677431 \nL 140.801331 110.51557 \nL 134.375664 109.852357 \nL 129.035186 108.857352 \nL 124.71329 107.684699 \nL 121.349956 106.472999 \nL 118.889524 105.34452 \nL 117.278015 104.403768 \nL 116.460607 103.735975 \nL 116.379462 103.405834 \nL 116.972243 103.456819 \nL 118.171431 103.911476 \nL 119.904456 104.772855 \nL 122.094576 106.026856 \nL 124.662407 107.645413 \nL 130.611932 111.816298 \nL 137.139909 116.921445 \nL 143.713567 122.592638 \nL 146.883143 125.540992 \nL 149.919396 128.521735 \nL 152.791215 131.509477 \nL 155.475124 134.4838 \nL 157.954554 137.428646 \nL 160.218988 140.331668 \nL 162.263049 143.183544 \nL 164.085587 145.97736 \nL 165.688787 148.708032 \nL 167.07737 151.371831 \nL 168.257866 153.966007 \nL 169.237973 156.488456 \nL 170.026023 158.937476 \nL 170.630537 161.311561 \nL 171.059856 163.609261 \nL 171.321859 165.829045 \nL 171.423738 167.969202 \nL 171.371833 170.027755 \nL 171.171525 172.002381 \nL 170.827144 173.890321 \nL 170.341938 175.688313 \nL 169.718048 177.392501 \nL 168.956515 178.998329 \nL 168.057297 180.500442 \nL 167.019312 181.892582 \nL 165.840485 183.167443 \nL 164.517809 184.316544 \nL 163.047429 185.330052 \nL 161.424744 186.19665 \nL 159.644513 186.903346 \nL 157.701012 187.435282 \nL 155.588204 187.775573 \nL 153.299976 187.905155 \nL 150.830383 187.802623 \nL 148.174007 187.444179 \nL 145.326355 186.803616 \nL 142.284356 185.8524 \nL 139.046963 184.559982 \nL 135.615872 182.894272 \nL 131.996362 180.822401 \nL 128.198263 178.311915 \nL 124.237069 175.332321 \nL 120.135125 171.85726 \nL 115.922936 167.867206 \nL 111.640433 163.352804 \nL 107.338181 158.318752 \nL 103.078326 152.788083 \nL 98.935176 146.806571 \nL 94.99509 140.446708 \nL 91.355531 133.810711 \nL 88.122966 127.031627 \nL 85.409437 120.271769 \nL 83.32774 113.717622 \nL 81.985207 107.57086 \nL 81.476516 102.035627 \nL 81.87601 97.303007 \nL 83.230429 93.534484 \nL 85.55298 90.84681 \nL 88.819776 89.300865 \nL 92.969294 88.896732 \nL 97.905292 89.575815 \nL 103.502822 91.229861 \nL 109.616778 93.714872 \nL 116.091663 96.86754 \nL 122.771501 100.521151 \nL 129.508622 104.518885 \nL 136.170582 108.723146 \nL 142.644791 113.02059 \nL 148.840852 117.323381 \nL 154.690906 121.567678 \nL 160.148423 125.71043 \nL 165.185968 129.725338 \nL 169.792389 133.598853 \nL 173.969819 137.326506 \nL 177.730746 140.909906 \nL 181.095335 144.354383 \nL 184.08909 147.667252 \nL 186.7409 150.856635 \nL 189.081455 153.930654 \nL 191.142001 156.897016 \nL 192.953408 159.762728 \nL 194.545483 162.534014 \nL 197.182968 167.814365 \nL 199.258123 172.773268 \nL 200.942901 177.436657 \nL 206.950531 195.159404 \nL 208.454784 198.40955 \nL 210.170636 201.402942 \nL 212.163937 204.123673 \nL 213.286359 205.373944 \nL 214.505055 206.544944 \nL 215.830023 207.630958 \nL 217.271889 208.624997 \nL 218.841985 209.518574 \nL 220.552395 210.301453 \nL 222.415996 210.961341 \nL 224.446474 211.483544 \nL 226.658319 211.850575 \nL 229.066766 212.0417 \nL 231.687708 212.032466 \nL 234.537524 211.794158 \nL 237.632827 211.293253 \nL 240.990109 210.490867 \nL 244.625224 209.342264 \nL 248.55271 207.796463 \nL 252.784873 205.79608 \nL 257.330598 203.277496 \nL 262.19383 200.171599 \nL 267.371676 196.405268 \nL 272.852084 191.903987 \nL 278.611077 186.595845 \nL 284.609551 180.417383 \nL 290.789752 173.321534 \nL 297.07163 165.287846 \nL 303.349356 156.334863 \nL 309.488579 146.533954 \nL 315.325142 136.023104 \nL 320.666136 125.01832 \nL 325.294305 113.819217 \nL 328.976808 102.804794 \nL 331.478711 92.415762 \nL 332.581285 83.121492 \nL 332.103493 75.37281 \nL 329.924318 69.546824 \nL 326.002015 65.894047 \nL 320.38636 64.500477 \nL 313.220357 65.275178 \nL 304.730082 67.967893 \nL 295.203813 72.212496 \nL 284.964203 77.584965 \nL 274.338676 83.661499 \nL 263.633113 90.064616 \nL 224.509001 114.087492 \nL 202.120297 127.903564 \nL 190.689577 135.186579 \nL 181.631187 141.271866 \nL 174.471739 146.416734 \nL 168.745265 150.803538 \nL 159.994398 157.70019 \nL 156.336305 160.287018 \nL 154.579253 161.364844 \nL 152.838771 162.29462 \nL 151.095173 163.071544 \nL 149.331624 163.689749 \nL 147.53397 164.142431 \nL 145.690578 164.421997 \nL 143.792253 164.520212 \nL 141.832175 164.428366 \nL 139.805905 164.137484 \nL 137.711412 163.638602 \nL 135.549155 162.923085 \nL 133.322197 161.983015 \nL 131.036359 160.811674 \nL 128.700404 159.404097 \nL 126.326188 157.757731 \nL 123.928853 155.873129 \nL 121.526963 153.754761 \nL 119.142599 151.411823 \nL 116.801354 148.859028 \nL 114.532229 146.117364 \nL 112.367384 143.214682 \nL 110.341672 140.186028 \nL 108.49201 137.07371 \nL 106.856494 133.926883 \nL 105.473286 130.800703 \nL 104.379296 127.754875 \nL 103.608695 124.851742 \nL 103.191334 122.153842 \nL 103.15113 119.721204 \nL 103.50459 117.608447 \nL 104.259548 115.862036 \nL 105.414274 114.517918 \nL 106.957039 113.599815 \nL 108.866214 113.118235 \nL 111.110884 113.070519 \nL 113.652013 113.441701 \nL 116.444015 114.206134 \nL 119.436644 115.329726 \nL 122.577014 116.772475 \nL 125.811637 118.491002 \nL 129.088331 120.440919 \nL 132.357807 122.578861 \nL 135.575007 124.864037 \nL 138.700003 127.259288 \nL 141.698568 129.731681 \nL 144.542384 132.252725 \nL 147.208961 134.7983 \nL 149.681335 137.348294 \nL 151.947587 139.886189 \nL 154.000247 142.398558 \nL 155.835655 144.874518 \nL 157.453289 147.305249 \nL 158.85513 149.683539 \nL 160.04505 152.003403 \nL 161.028267 154.259732 \nL 161.810857 156.448004 \nL 162.39935 158.564073 \nL 162.80037 160.603945 \nL 163.020356 162.563645 \nL 163.065334 164.439043 \nL 162.940759 166.225745 \nL 162.651374 167.918983 \nL 162.201141 169.513504 \nL 161.593186 171.003467 \nL 160.829803 172.382341 \nL 159.912456 173.642795 \nL 158.841829 174.776605 \nL 157.617897 175.774522 \nL 156.240018 176.626203 \nL 154.707062 177.320085 \nL 153.017554 177.843302 \nL 151.169866 178.1816 \nL 149.162435 178.319322 \nL 146.994022 178.239371 \nL 144.664033 177.923278 \nL 142.172877 177.351333 \nL 139.522391 176.502837 \nL 136.71634 175.356443 \nL 133.760958 173.890746 \nL 130.665594 172.085006 \nL 127.443388 169.920174 \nL 124.112008 167.380159 \nL 120.69442 164.453449 \nL 117.219625 161.134961 \nL 113.723336 157.428228 \nL 110.248542 153.347751 \nL 106.845792 148.92138 \nL 103.573174 144.192565 \nL 100.495855 139.222134 \nL 97.684984 134.089237 \nL 95.215975 128.891094 \nL 93.166021 123.741169 \nL 91.61086 118.76551 \nL 90.62093 114.097097 \nL 90.257094 109.868535 \nL 90.566282 106.203549 \nL 91.577449 103.208178 \nL 93.29836 100.962765 \nL 95.713654 99.515945 \nL 98.784491 98.881444 \nL 102.449962 99.038315 \nL 106.630213 99.934518 \nL 111.230943 101.493202 \nL 116.148762 103.620689 \nL 121.276909 106.215009 \nL 126.510626 109.173666 \nL 131.751834 112.400121 \nL 136.91272 115.808173 \nL 141.918129 119.324607 \nL 146.706766 122.889922 \nL 151.23138 126.457885 \nL 155.458122 129.994141 \nL 159.365336 133.474388 \nL 162.941989 136.88244 \nL 166.185941 140.208336 \nL 169.102208 143.446711 \nL 171.701305 146.595437 \nL 173.997764 149.654547 \nL 176.008827 152.625422 \nL 177.753351 155.510207 \nL 179.250911 158.311404 \nL 180.521082 161.031603 \nL 181.58289 163.673333 \nL 182.454405 166.238934 \nL 183.152445 168.730527 \nL 183.692391 171.149993 \nL 184.088065 173.49896 \nL 184.351679 175.778814 \nL 184.523501 180.13551 \nL 184.273726 184.226316 \nL 183.644452 188.053435 \nL 182.656133 191.614404 \nL 181.309645 194.900971 \nL 180.497436 196.436755 \nL 179.587979 197.897253 \nL 178.576548 199.278865 \nL 177.457418 200.577115 \nL 176.223879 201.786529 \nL 174.868248 202.900448 \nL 173.381874 203.910836 \nL 171.755157 204.808048 \nL 169.977561 205.58057 \nL 168.037652 206.214713 \nL 165.923148 206.694268 \nL 163.621008 207.000139 \nL 161.117553 207.109921 \nL 158.398643 206.997457 \nL 155.449948 206.632393 \nL 152.257283 205.97973 \nL 148.807092 204.99945 \nL 145.087067 203.64623 \nL 141.086986 201.869354 \nL 136.799743 199.612944 \nL 132.222689 196.816647 \nL 127.35926 193.416969 \nL 122.220981 189.349497 \nL 116.829786 184.552319 \nL 111.220712 178.970844 \nL 105.444839 172.564322 \nL 99.572314 165.31419 \nL 93.695259 157.234089 \nL 87.930027 148.381058 \nL 82.418386 138.866806 \nL 77.326815 128.867322 \nL 72.843222 118.628205 \nL 69.170237 108.462874 \nL 66.514665 98.740597 \nL 65.073166 89.862652 \nL 65.014905 82.226855 \nL 66.463023 76.184294 \nL 69.477724 71.995154 \nL 74.043973 69.793029 \nL 80.066879 69.566543 \nL 87.376395 71.163593 \nL 95.741191 74.317845 \nL 104.889537 78.690779 \nL 114.53355 83.9192 \nL 124.392664 89.657827 \nL 134.212949 95.609862 \nL 152.926728 107.291703 \nL 169.517882 117.867987 \nL 183.507312 127.017374 \nL 194.904937 134.826313 \nL 204.000751 141.517919 \nL 211.205794 147.313244 \nL 216.953219 152.381677 \nL 223.708495 158.850969 \nL 229.210207 164.102524 \nL 232.611685 166.935251 \nL 234.307952 168.141867 \nL 236.028442 169.201286 \nL 237.790617 170.106361 \nL 239.609789 170.848707 \nL 241.499256 171.418694 \nL 243.470392 171.805508 \nL 245.532681 171.997204 \nL 247.693693 171.98078 \nL 249.959023 171.742322 \nL 252.332138 171.267187 \nL 254.81419 170.540312 \nL 257.403755 169.546592 \nL 260.096517 168.271399 \nL 262.884903 166.701246 \nL 265.757648 164.824639 \nL 268.699394 162.633089 \nL 271.690224 160.122322 \nL 274.705252 157.293631 \nL 277.714307 154.155386 \nL 280.681699 150.724575 \nL 283.566217 147.028298 \nL 286.321331 143.105041 \nL 288.895803 139.005601 \nL 291.234604 134.793353 \nL 293.280347 130.543727 \nL 294.975148 126.342667 \nL 296.262942 122.283953 \nL 297.092123 118.465399 \nL 297.418457 114.984053 \nL 297.20794 111.930801 \nL 296.439448 109.384826 \nL 295.106813 107.408488 \nL 293.220165 106.043391 \nL 290.80623 105.307993 \nL 287.90758 105.197253 \nL 284.580792 105.684147 \nL 280.893697 106.723019 \nL 276.922006 108.254133 \nL 272.745573 110.208775 \nL 268.444702 112.514453 \nL 264.096773 115.09934 \nL 259.773443 117.895965 \nL 255.538522 120.843646 \nL 251.446643 123.889951 \nL 247.542598 126.991141 \nL 243.861328 130.111922 \nL 240.428393 133.2247 \nL 237.260791 136.308536 \nL 234.368004 139.348038 \nL 231.753165 142.332221 \nL 229.414223 145.253524 \nL 227.345086 148.106916 \nL 225.536656 150.889194 \nL 223.977758 153.59841 \nL 222.655938 156.233429 \nL 221.558134 158.793607 \nL 220.671227 161.278533 \nL 219.982469 163.687867 \nL 219.479827 166.021201 \nL 219.152229 168.277963 \nL 218.989753 170.457346 \nL 218.983734 172.558234 \nL 219.126848 174.579153 \nL 219.413142 176.518214 \nL 219.838048 178.373023 \nL 220.398356 180.140653 \nL 221.092197 181.817526 \nL 221.918996 183.399344 \nL 222.879419 184.880954 \nL 223.975315 186.256243 \nL 225.209654 187.518009 \nL 226.586451 188.657787 \nL 228.11068 189.665684 \nL 229.788188 190.530175 \nL 231.625569 191.237918 \nL 233.630036 191.773515 \nL 235.809242 192.119298 \nL 238.171071 192.255108 \nL 240.72338 192.158081 \nL 243.473664 191.802498 \nL 246.428639 191.159678 \nL 249.593748 190.197994 \nL 252.97251 188.883038 \nL 256.565781 187.178041 \nL 260.370817 185.044552 \nL 264.380208 182.443564 \nL 268.580625 179.337164 \nL 272.951408 175.690757 \nL 277.463031 171.476099 \nL 282.075496 166.675056 \nL 286.736779 161.284178 \nL 291.381433 155.319959 \nL 295.929626 148.824383 \nL 300.28683 141.870343 \nL 304.344508 134.566067 \nL 307.982117 127.057562 \nL 311.070745 119.527814 \nL 313.478547 112.191719 \nL 315.078018 105.285889 \nL 315.7547 99.053318 \nL 315.416731 93.724 \nL 314.004104 89.493616 \nL 311.496455 86.503745 \nL 307.917935 84.826983 \nL 303.338229 84.460143 \nL 297.869168 85.327091 \nL 291.657172 87.290674 \nL 284.87256 90.171269 \nL 277.697206 93.768275 \nL 270.312231 97.88058 \nL 262.88724 102.323077 \nL 255.572165 106.937483 \nL 248.492077 111.597509 \nL 241.744946 116.209172 \nL 235.401831 120.707789 \nL 229.508882 125.053042 \nL 224.090449 129.22356 \nL 219.152723 133.211706 \nL 214.687465 137.019072 \nL 210.675508 140.652955 \nL 207.089873 144.123708 \nL 203.89839 147.442878 \nL 201.065859 150.622017 \nL 198.555736 153.671966 \nL 196.331418 156.602448 \nL 194.357187 159.421935 \nL 191.024179 164.755553 \nL 188.307896 169.716805 \nL 184.933112 176.519304 \nL 181.895477 182.591564 \nL 179.833636 186.234131 \nL 177.612615 189.53783 \nL 176.411256 191.055167 \nL 175.133518 192.477128 \nL 173.767776 193.798155 \nL 172.302446 195.011473 \nL 170.725866 196.108925 \nL 169.026233 197.080771 \nL 167.19153 197.915453 \nL 165.209512 198.599343 \nL 163.06771 199.116463 \nL 160.753493 199.448176 \nL 158.25417 199.572867 \nL 155.557169 199.465626 \nL 152.650291 199.097944 \nL 149.522066 198.437461 \nL 146.162226 197.447777 \nL 142.562333 196.088452 \nL 138.716565 194.315199 \nL 134.622719 192.080412 \nL 130.283428 189.334154 \nL 125.707631 186.025773 \nL 120.912284 182.106279 \nL 115.924333 177.531722 \nL 110.782842 172.267651 \nL 105.541247 166.294866 \nL 100.269482 159.616296 \nL 95.055795 152.264773 \nL 90.007867 144.311181 \nL 85.252786 135.871836 \nL 80.935376 127.113775 \nL 77.214361 118.256061 \nL 74.25594 109.565163 \nL 72.224649 101.342836 \nL 71.271758 93.905938 \nL 71.522078 87.559119 \nL 73.060601 82.563791 \nL 75.920959 79.108092 \nL 80.077763 77.284147 \nL 85.444609 77.077517 \nL 91.878659 78.371995 \nL 99.191378 80.968496 \nL 107.163967 84.614052 \nL 115.564967 89.034343 \nL 124.167392 93.963411 \nL 132.763145 99.165931 \nL 141.173247 104.450207 \nL 156.89629 114.733097 \nL 170.607855 124.159308 \nL 176.618389 128.485199 \nL 182.064623 132.555357 \nL 186.966859 136.383677 \nL 191.356656 139.98827 \nL 195.273057 143.388514 \nL 198.75955 146.603185 \nL 201.861689 149.649396 \nL 204.625313 152.54204 \nL 209.314511 157.914424 \nL 213.160219 162.79369 \nL 220.880175 173.050168 \nL 223.774868 176.380824 \nL 225.265908 177.869646 \nL 226.809201 179.233585 \nL 228.420439 180.465643 \nL 230.114184 181.557451 \nL 231.904017 182.499147 \nL 233.802615 183.279264 \nL 235.821807 183.884586 \nL 237.972576 184.300034 \nL 240.264999 184.508555 \nL 242.708121 184.491023 \nL 245.309773 184.226222 \nL 248.076292 183.690838 \nL 251.012155 182.859652 \nL 254.119523 181.705773 \nL 257.397667 180.20114 \nL 260.842272 178.317228 \nL 264.444655 176.026101 \nL 268.190831 173.301815 \nL 272.060535 170.122266 \nL 276.026154 166.471516 \nL 280.051689 162.342617 \nL 284.091758 157.740864 \nL 288.090872 152.687331 \nL 291.982982 147.222505 \nL 295.691625 141.409572 \nL 299.130738 135.336877 \nL 302.206433 129.118909 \nL 304.819857 122.895141 \nL 306.871155 116.826151 \nL 308.264602 111.086587 \nL 308.914568 105.855169 \nL 308.751913 101.302221 \nL 307.730188 97.576203 \nL 305.830873 94.790868 \nL 303.06684 93.015184 \nL 299.483478 92.267695 \nL 295.157044 92.516472 \nL 290.190367 93.684595 \nL 284.706346 95.6602 \nL 278.84 98.309234 \nL 272.73015 101.48874 \nL 266.511566 105.058773 \nL 260.308438 108.891546 \nL 254.229587 112.877308 \nL 248.36554 116.92698 \nL 242.787414 120.972216 \nL 237.547235 124.963529 \nL 232.679358 128.867484 \nL 228.202563 132.663483 \nL 224.122509 136.34061 \nL 220.434258 139.894891 \nL 217.124688 143.326997 \nL 214.174686 146.640513 \nL 211.561035 149.840624 \nL 209.258007 152.93323 \nL 207.238638 155.924378 \nL 205.475738 158.819857 \nL 203.942648 161.625048 \nL 202.613792 164.34483 \nL 201.465052 166.983553 \nL 199.620066 172.032863 \nL 198.250373 176.799005 \nL 197.227697 181.302807 \nL 196.127911 187.603537 \nL 195.102161 195.227958 \nL 193.779406 205.18424 \nL 192.997773 209.563624 \nL 192.026632 213.575568 \nL 191.231422 216.053678 \nL 190.283602 218.376905 \nL 189.148111 220.543968 \nL 187.783173 222.549441 \nL 186.138525 224.38205 \nL 184.153429 226.02214 \nL 183.010821 226.760693 \nL 181.754427 227.438029 \nL 180.372673 228.047423 \nL 178.85287 228.580604 \nL 177.181142 229.027435 \nL 175.342344 229.375542 \nL 173.320006 229.609868 \nL 171.096285 229.712149 \nL 168.651952 229.660297 \nL 165.966417 229.427696 \nL 163.017821 228.98238 \nL 159.783206 228.286132 \nL 156.238811 227.293487 \nL 152.360526 225.950695 \nL 148.124566 224.194696 \nL 143.508405 221.952212 \nL 138.492112 219.139133 \nL 133.060117 215.660418 \nL 127.203558 211.41092 \nL 120.923327 206.277533 \nL 114.233872 200.143386 \nL 107.167906 192.894774 \nL 99.781943 184.431711 \nL 92.162504 174.682817 \nL 84.432705 163.625013 \nL 76.758367 151.307606 \nL 69.352686 137.87897 \nL 62.477677 123.612072 \nL 56.440472 108.922471 \nL 51.582257 94.370166 \nL 48.258004 80.636123 \nL 46.806622 68.466502 \nL 47.5133 58.585037 \nL 50.568775 51.585156 \nL 56.033449 47.825335 \nL 63.815209 47.357905 \nL 73.668502 49.916277 \nL 85.217409 54.968414 \nL 97.998794 61.82096 \nL 111.515956 69.74201 \nL 138.905177 86.270584 \nL 152.024227 93.983454 \nL 164.405215 100.989994 \nL 175.892085 107.19503 \nL 186.40285 112.589245 \nL 195.913694 117.216984 \nL 204.443202 121.151054 \nL 212.038545 124.475273 \nL 224.694435 129.62387 \nL 234.47382 133.24814 \nL 241.966032 135.790726 \nL 250.016513 138.231879 \nL 255.401511 139.593545 \nL 259.041502 140.264906 \nL 261.535182 140.483176 \nL 263.257513 140.406537 \nL 264.435957 140.151757 \nL 265.386131 139.694553 \nL 265.786012 139.265779 \nL 265.793116 139.046582 \nL 265.59535 138.960202 \nL 265.09141 139.086106 \nL 264.425642 139.484636 \nL 263.569015 140.282557 \nL 262.915855 141.236454 \nL 262.66946 141.95708 \nL 262.728055 142.513546 \nL 262.977076 142.763941 \nL 263.385822 142.838187 \nL 263.923925 142.721147 \nL 264.766214 142.27164 \nL 265.630849 141.536829 \nL 266.373108 140.622413 \nL 266.855926 139.677039 \nL 266.983879 139.048736 \nL 266.884161 138.564763 \nL 266.556901 138.279544 \nL 266.026282 138.227767 \nL 265.3387 138.420135 \nL 264.557853 138.842463 \nL 263.499954 139.696971 \nL 262.585984 140.758705 \nL 261.970068 141.862229 \nL 261.770351 142.613515 \nL 261.822935 143.22358 \nL 262.130309 143.634064 \nL 262.468513 143.774 \nL 263.14956 143.760615 \nL 263.992114 143.468815 \nL 264.92792 142.908628 \nL 265.875468 142.116114 \nL 266.745521 141.153659 \nL 267.448776 140.107064 \nL 267.905271 139.078656 \nL 268.054651 138.17639 \nL 267.96672 137.695133 \nL 267.726951 137.339712 \nL 267.342128 137.129071 \nL 266.826363 137.075149 \nL 266.200443 137.18221 \nL 265.113884 137.635089 \nL 263.944449 138.399292 \nL 262.804896 139.404064 \nL 261.803543 140.558793 \nL 261.03383 141.762609 \nL 260.56705 142.912732 \nL 260.448266 143.911092 \nL 260.572067 144.448264 \nL 260.856921 144.855786 \nL 261.295526 145.114397 \nL 261.875231 145.209002 \nL 262.578174 145.129357 \nL 263.381435 144.870908 \nL 264.712712 144.154105 \nL 266.095647 143.078578 \nL 267.403684 141.721952 \nL 268.50395 140.20109 \nL 269.270772 138.664502 \nL 269.544855 137.71269 \nL 269.603693 136.875603 \nL 269.436409 136.197303 \nL 269.043442 135.71436 \nL 268.437128 135.453254 \nL 267.641267 135.428689 \nL 266.689901 135.642897 \nL 265.625164 136.086061 \nL 264.494651 136.737608 \nL 262.785253 138.039588 \nL 261.205979 139.618706 \nL 259.903024 141.334371 \nL 259.246202 142.48286 \nL 258.789126 143.586672 \nL 258.549258 144.606447 \nL 258.536556 145.505358 \nL 258.753722 146.249611 \nL 259.19646 146.808887 \nL 259.853659 147.156952 \nL 260.707511 147.272451 \nL 261.733509 147.139948 \nL 262.900409 146.75121 \nL 264.170252 146.106704 \nL 265.498547 145.217142 \nL 266.834863 144.1049 \nL 268.123872 142.805066 \nL 269.307113 141.365679 \nL 270.325513 139.84692 \nL 271.122672 138.318923 \nL 271.648654 136.858037 \nL 271.86415 135.541873 \nL 271.744303 134.443382 \nL 271.281827 133.624899 \nL 270.925088 133.335933 \nL 270.488729 133.132947 \nL 269.396334 132.994561 \nL 268.053497 133.215878 \nL 266.52308 133.782851 \nL 264.877325 134.663958 \nL 263.192648 135.814124 \nL 261.544609 137.179128 \nL 260.003626 138.699777 \nL 258.631743 140.315355 \nL 257.480638 141.966165 \nL 256.590782 143.595042 \nL 255.991462 145.148191 \nL 255.701393 146.575394 \nL 255.729647 147.830007 \nL 256.076557 148.86882 \nL 256.734416 149.652155 \nL 257.68788 150.144217 \nL 258.913921 150.313954 \nL 260.381481 150.136435 \nL 262.050796 149.59492 \nL 263.872617 148.683484 \nL 265.787636 147.410165 \nL 267.726321 145.800216 \nL 269.609659 143.89907 \nL 271.351094 141.77424 \nL 272.860061 139.515297 \nL 274.047219 137.231092 \nL 274.831171 135.043774 \nL 275.14615 133.07968 \nL 275.113391 132.219178 \nL 274.949636 131.45793 \nL 274.654232 130.807745 \nL 274.228621 130.278568 \nL 273.676393 129.878241 \nL 273.003225 129.612333 \nL 272.216814 129.484045 \nL 271.326707 129.49422 \nL 270.344101 129.641393 \nL 268.152843 130.330396 \nL 265.755135 131.500579 \nL 263.270742 133.079263 \nL 260.817491 134.980758 \nL 258.503346 137.114673 \nL 256.420891 139.392194 \nL 254.644492 141.729956 \nL 253.229778 144.051778 \nL 252.214903 146.288787 \nL 251.622812 148.378537 \nL 251.463876 150.263659 \nL 251.54726 151.112606 \nL 251.738355 151.890501 \nL 252.035918 152.591024 \nL 252.438281 153.207977 \nL 252.943341 153.73528 \nL 253.548574 154.166966 \nL 254.251017 154.49721 \nL 255.047238 154.720367 \nL 255.933295 154.831038 \nL 256.904676 154.824124 \nL 257.956241 154.694934 \nL 259.082139 154.439311 \nL 261.52955 153.535615 \nL 264.182943 152.096254 \nL 266.961989 150.124268 \nL 269.768223 147.649755 \nL 272.484803 144.737068 \nL 274.978729 141.490442 \nL 277.106413 138.055782 \nL 277.987404 136.324024 \nL 278.723159 134.616354 \nL 279.297588 132.959549 \nL 279.696331 131.380788 \nL 279.907265 129.906858 \nL 279.921003 128.563354 \nL 279.731306 127.373842 \nL 279.335478 126.359066 \nL 278.734575 125.536249 \nL 277.93356 124.918564 \nL 276.941254 124.514746 \nL 275.770187 124.328942 \nL 274.436277 124.360753 \nL 272.958406 124.605477 \nL 271.357864 125.054558 \nL 269.657742 125.696118 \nL 267.882296 126.515622 \nL 266.05627 127.496554 \nL 262.350253 129.870714 \nL 258.72537 132.671137 \nL 255.342688 135.754906 \nL 252.330719 138.993383 \nL 249.783306 142.27611 \nL 247.762072 145.510373 \nL 246.301661 148.618323 \nL 245.786784 150.103696 \nL 245.416121 151.53301 \nL 245.189239 152.898951 \nL 245.105145 154.194383 \nL 245.162427 155.41229 \nL 245.359355 156.545674 \nL 245.693961 157.587475 \nL 246.164107 158.530517 \nL 246.767508 159.367442 \nL 247.50173 160.090699 \nL 248.364174 160.692504 \nL 249.352036 161.164847 \nL 250.462227 161.49951 \nL 251.691274 161.688132 \nL 253.035219 161.722249 \nL 254.489458 161.59345 \nL 256.048599 161.29351 \nL 257.706274 160.814569 \nL 259.454935 160.149432 \nL 261.285659 159.29185 \nL 263.187935 158.236902 \nL 265.149443 156.981421 \nL 267.155861 155.524486 \nL 269.190682 153.867953 \nL 271.23508 152.017043 \nL 273.267844 149.9809 \nL 275.265351 147.77313 \nL 277.201691 145.412294 \nL 279.048863 142.922268 \nL 280.777144 140.332401 \nL 282.355614 137.677457 \nL 283.752802 134.997233 \nL 284.937569 132.335878 \nL 285.880039 129.7408 \nL 286.552736 127.261247 \nL 286.931707 124.946585 \nL 286.997695 122.844361 \nL 286.737182 120.99827 \nL 286.14333 119.446211 \nL 285.216609 118.218563 \nL 283.965156 117.336851 \nL 282.404767 116.812988 \nL 280.558498 116.649049 \nL 278.455922 116.83768 \nL 276.132042 117.363025 \nL 273.62601 118.202147 \nL 270.979645 119.326633 \nL 268.235976 120.7044 \nL 265.437773 122.301416 \nL 262.62628 124.083248 \nL 259.840114 126.016365 \nL 257.114419 128.069146 \nL 254.480282 130.212538 \nL 251.964413 132.420453 \nL 249.58902 134.669902 \nL 247.371929 136.940926 \nL 245.326805 139.216421 \nL 243.463531 141.481817 \nL 241.788638 143.724778 \nL 240.305772 145.934821 \nL 239.016199 148.102999 \nL 237.919253 150.221563 \nL 237.012801 152.283692 \nL 236.293653 154.283223 \nL 235.757903 156.214442 \nL 235.401258 158.071883 \nL 235.219291 159.850172 \nL 235.207663 161.543862 \nL 235.362276 163.147323 \nL 235.67941 164.654613 \nL 236.155799 166.05938 \nL 236.788683 167.354743 \nL 237.575819 168.533228 \nL 238.515465 169.586652 \nL 239.606332 170.506058 \nL 240.847507 171.281636 \nL 242.238347 171.902676 \nL 243.778335 172.357496 \nL 245.466921 172.633468 \nL 247.303303 172.716995 \nL 249.286204 172.593595 \nL 251.413573 172.248025 \nL 253.682269 171.664474 \nL 256.087692 170.826859 \nL 258.623363 169.71924 \nL 261.280475 168.326377 \nL 264.047393 166.634441 \nL 266.909132 164.631905 \nL 269.84684 162.310653 \nL 272.837253 159.667221 \nL 275.852258 156.704273 \nL 278.858505 153.43213 \nL 281.817207 149.870356 \nL 284.684107 146.049282 \nL 287.409795 142.011224 \nL 289.940351 137.811288 \nL 292.218417 133.517454 \nL 294.184752 129.209758 \nL 295.780269 124.978421 \nL 296.948497 120.920737 \nL 297.638386 117.136845 \nL 297.807302 113.724587 \nL 297.423914 110.773798 \nL 296.470788 108.360666 \nL 294.946329 106.542767 \nL 292.865847 105.355384 \nL 290.261546 104.809706 \nL 287.181396 104.893029 \nL 283.686951 105.571023 \nL 279.850257 106.791612 \nL 275.750233 108.489951 \nL 271.468816 110.593784 \nL 267.087209 113.028645 \nL 262.682613 115.722176 \nL 258.325538 118.60754 \nL 254.077915 121.625585 \nL 249.991963 124.725915 \nL 246.109755 127.867088 \nL 242.463392 131.016146 \nL 239.075633 134.14769 \nL 235.960838 137.242749 \nL 233.126092 140.287614 \nL 230.572417 143.272708 \nL 228.295968 146.191602 \nL 226.289166 149.040174 \nL 224.541726 151.815914 \nL 223.041553 154.517406 \nL 221.77552 157.14392 \nL 220.730095 159.695123 \nL 219.891865 162.170828 \nL 219.247936 164.570873 \nL 218.786241 166.894994 \nL 218.495776 169.142723 \nL 218.366744 171.313344 \nL 218.390664 173.405828 \nL 218.560434 175.418778 \nL 218.870347 177.350354 \nL 219.31609 179.19825 \nL 219.89473 180.959579 \nL 220.60467 182.630824 \nL 221.445608 184.207737 \nL 222.418485 185.685226 \nL 223.525424 187.05722 \nL 224.769668 188.316559 \nL 226.155508 189.454805 \nL 227.6882 190.46208 \nL 229.373874 191.326865 \nL 231.219426 192.035787 \nL 233.232375 192.573398 \nL 235.420708 192.921939 \nL 237.792662 193.0611 \nL 240.356474 192.967811 \nL 243.120048 192.616064 \nL 246.090548 191.976794 \nL 249.273889 191.017865 \nL 252.674107 189.70422 \nL 256.292585 187.99827 \nL 260.127135 185.860566 \nL 264.170905 183.250893 \nL 268.411094 180.129908 \nL 272.827523 176.461405 \nL 277.391047 172.215337 \nL 282.061879 167.37167 \nL 286.787974 161.925082 \nL 291.503557 155.890346 \nL 296.128044 149.30816 \nL 300.565665 142.250822 \nL 304.706052 134.826986 \nL 308.426194 127.184386 \nL 311.594085 119.509329 \nL 314.074251 112.021685 \nL 315.735156 104.964602 \nL 316.458236 98.588681 \nL 316.147773 93.131935 \nL 314.740595 88.797521 \nL 312.214252 85.732859 \nL 308.592226 84.013915 \nL 303.945136 83.637914 \nL 298.387272 84.526097 \nL 292.068833 86.536203 \nL 285.164815 89.4819 \nL 277.862138 93.155299 \nL 270.346864 97.348423 \nL 262.793033 101.870378 \nL 255.354176 106.558587 \nL 248.158029 111.284004 \nL 241.304276 115.951251 \nL 234.864833 120.495267 \nL 228.885995 124.876162 \nL 223.391712 129.073424 \nL 218.387393 133.080481 \nL 213.863771 136.900048 \nL 209.800525 140.540487 \nL 206.169469 144.013071 \nL 202.937249 147.330145 \nL 200.067529 150.503896 \nL 197.522705 153.545654 \nL 195.265205 156.465509 \nL 193.258424 159.27219 \nL 189.859102 164.574211 \nL 187.070424 169.496007 \nL 179.278888 184.014534 \nL 177.001744 187.392573 \nL 175.781134 188.943295 \nL 174.489044 190.396199 \nL 173.113318 191.74577 \nL 171.64198 192.9853 \nL 170.063114 194.106708 \nL 168.364783 195.100356 \nL 166.53496 195.954834 \nL 164.561501 196.656706 \nL 162.432155 197.190268 \nL 160.134602 197.537239 \nL 157.65658 197.676489 \nL 154.986045 197.583745 \nL 152.111429 197.231316 \nL 149.021981 196.587879 \nL 145.708247 195.618357 \nL 142.162672 194.28395 \nL 138.380375 192.542375 \nL 134.360104 190.348437 \nL 130.105419 187.65505 \nL 125.626076 184.414844 \nL 120.939684 180.582497 \nL 116.073515 176.117981 \nL 111.06652 170.990866 \nL 105.97139 165.185706 \nL 100.856465 158.70847 \nL 95.807368 151.593727 \nL 90.927901 143.912029 \nL 86.339854 135.776533 \nL 82.181296 127.347575 \nL 78.602829 118.833447 \nL 75.761477 110.485803 \nL 73.812105 102.588219 \nL 72.896679 95.437511 \nL 73.132053 89.318813 \nL 74.597757 84.477309 \nL 77.325419 81.090985 \nL 81.291751 79.249807 \nL 86.41668 78.945942 \nL 92.567349 80.077418 \nL 99.567844 82.464666 \nL 107.21315 85.876294 \nL 115.285274 90.058418 \nL 123.569092 94.76197 \nL 131.865844 99.763683 \nL 140.003022 104.878895 \nL 147.840099 109.966282 \nL 162.220173 119.69572 \nL 168.644918 124.240128 \nL 174.525413 128.54641 \nL 179.862694 132.615938 \nL 184.673405 136.459039 \nL 188.98555 140.090844 \nL 192.834877 143.52834 \nL 196.261894 146.788478 \nL 199.309531 149.887019 \nL 202.02135 152.837936 \nL 206.607508 158.342567 \nL 210.341139 163.374022 \nL 220.388322 177.692263 \nL 223.19446 180.836757 \nL 224.679675 182.23438 \nL 226.239609 183.506933 \nL 227.888148 184.646268 \nL 229.638471 185.642722 \nL 231.503137 186.484994 \nL 233.49414 187.159974 \nL 235.62291 187.652555 \nL 237.900262 187.945497 \nL 240.336284 188.019258 \nL 242.94016 187.85188 \nL 245.719904 187.418934 \nL 248.682022 186.69354 \nL 251.831033 185.646511 \nL 255.168903 184.246699 \nL 258.694342 182.461564 \nL 262.401956 180.258068 \nL 266.281277 177.603933 \nL 270.315631 174.469435 \nL 274.480929 170.829703 \nL 278.744388 166.667648 \nL 283.063255 161.977523 \nL 287.383671 156.768967 \nL 291.639798 151.071422 \nL 295.753446 144.93853 \nL 299.634383 138.451954 \nL 303.181632 131.72394 \nL 306.285956 124.897729 \nL 308.833764 118.144998 \nL 310.712412 111.659563 \nL 311.816823 105.647074 \nL 312.057002 100.3112 \nL 311.365754 95.837285 \nL 309.705753 92.375812 \nL 307.074887 90.028055 \nL 303.50902 88.836534 \nL 299.081441 88.782143 \nL 293.898934 89.788678 \nL 288.094773 91.733682 \nL 281.819582 94.463741 \nL 275.231234 97.811187 \nL 268.485135 101.609646 \nL 261.725828 105.706267 \nL 255.080726 109.969773 \nL 248.656197 114.294242 \nL 242.535896 118.599323 \nL 236.780986 122.82803 \nL 231.431742 126.943093 \nL 226.510057 130.922818 \nL 222.022392 134.757116 \nL 217.962798 138.443967 \nL 214.315817 141.986608 \nL 211.05907 145.391374 \nL 208.165495 148.666123 \nL 205.605194 151.8192 \nL 203.346908 154.85877 \nL 201.359168 157.792419 \nL 199.611142 160.626994 \nL 198.073243 163.36853 \nL 195.517978 168.592719 \nL 193.493213 173.498679 \nL 191.830701 178.111032 \nL 187.076295 192.154109 \nL 185.642207 195.595283 \nL 184.039865 198.781136 \nL 182.202676 201.700711 \nL 181.17477 203.054791 \nL 180.062115 204.333866 \nL 178.85529 205.533446 \nL 177.544358 206.647979 \nL 176.118784 207.670678 \nL 174.567373 208.593302 \nL 172.878205 209.405897 \nL 171.038602 210.096522 \nL 169.0351 210.650897 \nL 166.853464 211.052037 \nL 164.478724 211.279813 \nL 161.895273 211.310478 \nL 159.087025 211.11616 \nL 156.037641 210.664333 \nL 152.73089 209.917266 \nL 149.151118 208.831551 \nL 145.283919 207.35771 \nL 141.116993 205.440021 \nL 136.641297 203.016654 \nL 131.852478 200.020338 \nL 126.75271 196.379742 \nL 121.352901 192.021883 \nL 115.675372 186.875895 \nL 109.756913 180.878521 \nL 103.652179 173.981579 \nL 97.43729 166.161682 \nL 91.213211 157.43206 \nL 85.10853 147.85584 \nL 79.280931 137.559582 \nL 73.916461 126.744722 \nL 69.225674 115.693908 \nL 65.435727 104.768377 \nL 62.777772 94.392679 \nL 61.469781 85.024656 \nL 61.695919 77.111388 \nL 63.584775 71.036352 \nL 67.189921 67.067074 \nL 72.476775 65.315401 \nL 79.319215 65.7211 \nL 87.507611 68.064192 \nL 96.767629 72.00343 \nL 106.786491 77.130988 \nL 117.241788 83.029518 \nL 127.82799 89.319528 \nL 148.369302 101.908983 \nL 189.438441 127.378687 \nL 201.000912 134.818837 \nL 210.177722 141.05725 \nL 217.432189 146.349563 \nL 223.227908 150.880109 \nL 233.918678 159.502218 \nL 237.478044 161.952933 \nL 239.218868 162.959987 \nL 240.962049 163.815559 \nL 242.725195 164.513749 \nL 244.523274 165.047626 \nL 246.368757 165.409365 \nL 248.271727 165.590375 \nL 250.239937 165.581452 \nL 252.278818 165.372957 \nL 254.391444 164.955073 \nL 256.578456 164.318086 \nL 258.83793 163.452756 \nL 261.165213 162.350774 \nL 263.552735 161.005311 \nL 265.989789 159.411658 \nL 268.462334 157.567968 \nL 270.952792 155.476081 \nL 273.439895 153.142398 \nL 275.898596 150.578789 \nL 278.300113 147.803467 \nL 280.612068 144.841746 \nL 282.798879 141.726618 \nL 284.822284 138.499014 \nL 286.642185 135.207627 \nL 288.217686 131.908288 \nL 289.50844 128.66271 \nL 290.476162 125.536632 \nL 291.086356 122.597406 \nL 291.310049 119.91112 \nL 291.125528 117.539429 \nL 290.519843 115.536424 \nL 289.490012 113.945777 \nL 288.043738 112.798412 \nL 286.199572 112.111172 \nL 283.986484 111.886321 \nL 281.442821 112.112177 \nL 278.614743 112.764661 \nL 275.554258 113.809562 \nL 272.31704 115.205295 \nL 268.960172 116.905728 \nL 265.539988 118.862984 \nL 262.11018 121.029791 \nL 258.720261 123.36137 \nL 255.414402 125.81676 \nL 252.23072 128.35961 \nL 249.200945 130.958511 \nL 246.350431 133.586932 \nL 243.698431 136.222906 \nL 241.258591 138.848534 \nL 239.039584 141.449428 \nL 237.045803 144.014101 \nL 235.278083 146.533434 \nL 233.73443 149.000139 \nL 232.410674 151.408324 \nL 231.301098 153.75311 \nL 230.398962 156.030307 \nL 229.696971 158.23617 \nL 229.187679 160.367182 \nL 228.863797 162.419877 \nL 228.718444 164.390689 \nL 228.745355 166.275836 \nL 228.939018 168.071189 \nL 229.294767 169.772184 \nL 229.808852 171.373712 \nL 230.47846 172.870027 \nL 231.301706 174.254614 \nL 232.277613 175.520117 \nL 233.40605 176.658192 \nL 234.687658 177.659431 \nL 236.123739 178.513206 \nL 237.716136 179.207573 \nL 239.467073 179.729181 \nL 241.378969 180.063154 \nL 243.454206 180.193043 \nL 245.694857 180.100797 \nL 248.102371 179.766789 \nL 250.67718 179.169948 \nL 253.418269 178.287963 \nL 256.322638 177.097669 \nL 259.384712 175.575598 \nL 262.595677 173.698761 \nL 265.942716 171.445702 \nL 269.408212 168.797877 \nL 272.968895 165.741371 \nL 276.594997 162.268958 \nL 280.249477 158.382509 \nL 283.887366 154.095623 \nL 287.455366 149.436363 \nL 290.891808 144.449823 \nL 294.127098 139.20026 \nL 297.084829 133.77231 \nL 299.683642 128.270829 \nL 301.839926 122.818988 \nL 303.471366 117.55421 \nL 304.501258 112.621839 \nL 304.863287 108.166859 \nL 304.506442 104.324192 \nL 303.399564 101.208613 \nL 301.534958 98.905727 \nL 298.930521 97.465208 \nL 295.630055 96.897426 \nL 291.701543 97.174097 \nL 287.233471 98.232825 \nL 282.329671 99.984635 \nL 277.103142 102.323367 \nL 271.669686 105.135369 \nL 266.141908 108.308285 \nL 260.62418 111.737947 \nL 255.208842 115.333012 \nL 249.973838 119.017318 \nL 244.98164 122.730326 \nL 240.279314 126.426177 \nL 235.899427 130.071853 \nL 231.861573 133.644967 \nL 228.174193 137.131506 \nL 224.836536 140.523705 \nL 221.840582 143.818293 \nL 219.17283 147.015032 \nL 216.815887 150.115617 \nL 214.749823 153.122857 \nL 212.953307 156.040116 \nL 211.404515 158.870927 \nL 210.081844 161.618764 \nL 208.964444 164.286914 \nL 208.032606 166.878382 \nL 207.268029 169.395902 \nL 206.653986 171.841916 \nL 205.818907 176.527929 \nL 205.426923 180.951047 \nL 205.403368 185.122655 \nL 205.697063 189.051217 \nL 206.277598 192.742321 \nL 207.132783 196.198298 \nL 208.26658 199.41746 \nL 209.697681 202.392839 \nL 211.45873 205.110364 \nL 212.476949 206.365454 \nL 213.596156 207.546183 \nL 214.824364 208.647424 \nL 216.17051 209.662895 \nL 217.644474 210.584935 \nL 219.257106 211.404282 \nL 221.020241 212.109774 \nL 222.946697 212.688024 \nL 225.050264 213.123043 \nL 227.345661 213.395814 \nL 229.848457 213.483799 \nL 232.57493 213.360423 \nL 235.541864 212.994499 \nL 238.766248 212.34964 \nL 242.264844 211.38369 \nL 246.0536 210.048227 \nL 250.146865 208.288205 \nL 254.556326 206.041869 \nL 259.289685 203.241097 \nL 264.348914 199.812401 \nL 269.728132 195.678849 \nL 275.411012 190.763255 \nL 281.367702 184.993047 \nL 287.551334 178.307155 \nL 293.894244 170.665288 \nL 300.304128 162.059611 \nL 306.660593 152.528536 \nL 312.812742 142.171561 \nL 318.578611 131.163302 \nL 323.747524 119.763581 \nL 328.086421 108.319728 \nL 331.351032 97.256671 \nL 333.302308 87.051467 \nL 333.72729 78.191454 \nL 332.462532 71.119352 \nL 329.416817 66.174277 \nL 324.588674 63.540994 \nL 318.07464 63.221019 \nL 310.065361 65.034235 \nL 300.829259 68.651829 \nL 290.686414 73.651925 \nL 279.977595 79.58327 \nL 269.034129 86.022011 \nL 247.582859 99.079934 \nL 211.377061 121.112135 \nL 191.863111 133.053958 \nL 182.106487 139.300714 \nL 174.409035 144.520314 \nL 168.287034 148.92442 \nL 157.170507 157.109224 \nL 153.562132 159.365024 \nL 151.818856 160.274374 \nL 150.087394 161.033374 \nL 148.350028 161.637198 \nL 146.59191 162.080131 \nL 144.800881 162.355738 \nL 142.967364 162.457026 \nL 141.084265 162.376649 \nL 139.146939 162.107114 \nL 137.153192 161.641038 \nL 135.103313 160.971474 \nL 133.000152 160.092274 \nL 130.849204 158.9985 \nL 128.658735 157.686967 \nL 126.439902 156.156773 \nL 124.206853 154.409928 \nL 121.976809 152.452007 \nL 119.770082 150.292846 \nL 117.610049 147.947158 \nL 115.522994 145.435113 \nL 113.537813 142.782775 \nL 111.685601 140.022302 \nL 109.99905 137.191925 \nL 108.511646 134.33552 \nL 107.256724 131.501805 \nL 106.266316 128.743138 \nL 105.569892 126.113848 \nL 105.193039 123.66825 \nL 105.156144 121.458394 \nL 105.473172 119.531748 \nL 106.150644 117.92895 \nL 107.186911 116.681915 \nL 108.571797 115.812362 \nL 110.286651 115.331037 \nL 112.304888 115.237633 \nL 114.592873 115.521387 \nL 117.111217 116.162309 \nL 119.816283 117.132895 \nL 122.661886 118.400101 \nL 125.60096 119.927417 \nL 128.587161 121.676808 \nL 131.576284 123.610445 \nL 134.527392 125.69209 \nL 137.403701 127.888093 \nL 140.173127 130.168024 \nL 142.808573 132.504993 \nL 145.287938 134.875697 \nL 147.593942 137.260229 \nL 149.71379 139.641814 \nL 151.638703 142.006422 \nL 153.363413 144.342344 \nL 154.885606 146.639814 \nL 156.20538 148.890617 \nL 157.324713 151.087719 \nL 158.24699 153.224989 \nL 158.976556 155.296927 \nL 159.51834 157.298416 \nL 159.877538 159.22456 \nL 160.059339 161.070498 \nL 160.068701 162.831256 \nL 159.910198 164.501633 \nL 159.587899 166.076077 \nL 159.105271 167.548576 \nL 158.465154 168.912567 \nL 157.66973 170.160803 \nL 156.720562 171.285297 \nL 155.618633 172.277221 \nL 154.364421 173.12679 \nL 152.95801 173.823226 \nL 151.399229 174.354659 \nL 149.687809 174.708114 \nL 147.823598 174.869455 \nL 145.806793 174.823451 \nL 143.638228 174.553822 \nL 141.3197 174.043429 \nL 138.854354 173.274474 \nL 136.247105 172.228927 \nL 133.505128 170.888981 \nL 130.638399 169.237779 \nL 127.660266 167.260283 \nL 124.588047 164.944396 \nL 121.443662 162.282274 \nL 118.2542 159.271926 \nL 115.052435 155.91892 \nL 111.877227 152.238284 \nL 108.773677 148.256328 \nL 105.793032 144.012355 \nL 102.992195 139.55993 \nL 100.432781 134.967484 \nL 98.179634 130.317999 \nL 96.298762 125.70745 \nL 94.854735 121.24187 \nL 93.907567 117.032951 \nL 93.509333 113.192379 \nL 93.700701 109.825315 \nL 94.507688 107.023547 \nL 95.939078 104.859176 \nL 97.984729 103.37966 \nL 100.615117 102.604908 \nL 103.782181 102.526761 \nL 107.421557 103.111095 \nL 111.455859 104.30202 \nL 115.798809 106.027622 \nL 120.359707 108.206417 \nL 125.047867 110.753584 \nL 129.776573 113.586447 \nL 134.466327 116.628597 \nL 139.047183 119.812667 \nL 143.460193 123.08166 \nL 147.657968 126.389216 \nL 151.604521 129.698994 \nL 155.274554 132.983552 \nL 158.65237 136.22294 \nL 161.730566 139.403272 \nL 164.508633 142.515368 \nL 166.991567 145.553559 \nL 169.188567 148.514701 \nL 171.111863 151.397391 \nL 172.775692 154.201356 \nL 174.195427 156.926996 \nL 175.386875 159.575086 \nL 176.365694 162.146528 \nL 177.146957 164.642207 \nL 177.74482 167.062892 \nL 178.172279 169.409167 \nL 178.441008 171.681375 \nL 178.561256 173.879592 \nL 178.541793 176.003588 \nL 178.389895 178.052801 \nL 178.111352 180.026286 \nL 177.710494 181.922689 \nL 177.190235 183.74018 \nL 176.55212 185.476391 \nL 175.796374 187.128334 \nL 174.921959 188.69233 \nL 173.926622 190.163872 \nL 172.806953 191.537518 \nL 171.558434 192.806751 \nL 170.175492 193.963796 \nL 168.651559 194.999446 \nL 166.979144 195.90284 \nL 165.149904 196.661232 \nL 163.154749 197.259729 \nL 160.983968 197.68101 \nL 158.627391 197.905027 \nL 156.074597 197.908714 \nL 153.315201 197.665693 \nL 150.339205 197.146031 \nL 147.137459 196.316062 \nL 143.702239 195.138326 \nL 140.027982 193.57172 \nL 136.112192 191.571891 \nL 131.956545 189.092061 \nL 127.568221 186.084335 \nL 122.961449 182.501719 \nL 118.159302 178.300965 \nL 113.195639 173.446434 \nL 108.117192 167.915007 \nL 102.985622 161.702172 \nL 97.879311 154.828986 \nL 92.894654 147.349525 \nL 88.146419 139.358094 \nL 83.766771 130.994936 \nL 79.902441 122.448938 \nL 76.709647 113.955569 \nL 74.346535 105.788449 \nL 72.96319 98.24369 \nL 72.689843 91.617135 \nL 73.624335 86.176771 \nL 75.820474 82.134098 \nL 79.27917 79.61961 \nL 83.944158 78.66767 \nL 89.703477 79.214268 \nL 96.396924 81.108525 \nL 103.828563 84.135434 \nL 111.782389 88.044753 \nL 120.038724 92.58016 \nL 128.389084 97.50354 \nL 136.647798 102.611481 \nL 144.659532 107.743296 \nL 159.489809 117.649283 \nL 166.164242 122.300122 \nL 172.296882 126.71344 \nL 177.881006 130.885602 \nL 182.927507 134.824099 \nL 187.460403 138.542795 \nL 191.512911 142.058479 \nL 195.124181 145.388539 \nL 198.33668 148.549534 \nL 201.194175 151.556391 \nL 203.74023 154.42201 \nL 208.065204 159.770783 \nL 211.62361 164.659075 \nL 218.838343 175.051223 \nL 221.577834 178.48017 \nL 222.99615 180.028636 \nL 224.468884 181.459849 \nL 226.011166 182.76738 \nL 227.637215 183.943464 \nL 229.360474 184.978879 \nL 231.193714 185.862822 \nL 233.149094 186.582715 \nL 235.238179 187.124076 \nL 237.471907 187.470328 \nL 239.860495 187.60266 \nL 242.413286 187.499924 \nL 245.1385 187.138534 \nL 248.042918 186.492496 \nL 251.131452 185.533515 \nL 254.406605 184.231305 \nL 257.867809 182.554083 \nL 261.510628 180.469381 \nL 265.32582 177.945203 \nL 269.298278 174.95168 \nL 273.405846 171.463182 \nL 277.61808 167.46109 \nL 281.894997 162.937126 \nL 286.185917 157.897207 \nL 290.428558 152.365738 \nL 294.54852 146.389922 \nL 298.459453 140.043657 \nL 302.064075 133.430402 \nL 305.256353 126.684116 \nL 307.924979 119.967503 \nL 309.958258 113.466733 \nL 311.250302 107.382349 \nL 311.70824 101.916458 \nL 311.25979 97.257318 \nL 309.860392 93.562956 \nL 307.49898 90.946447 \nL 304.201338 89.465195 \nL 300.030461 89.116355 \nL 295.083519 89.839356 \nL 289.485701 91.525059 \nL 283.381748 94.029705 \nL 276.926203 97.191092 \nL 270.273673 100.844294 \nL 263.570192 104.834569 \nL 256.946485 109.026433 \nL 250.513467 113.308432 \nL 244.360017 117.594347 \nL 238.552713 121.821547 \nL 233.13706 125.947832 \nL 228.139725 129.947456 \nL 223.571334 133.807143 \nL 219.42944 137.522544 \nL 215.701416 141.09525 \nL 212.367092 144.530498 \nL 209.401066 147.835465 \nL 206.774621 151.018129 \nL 204.457298 154.08647 \nL 202.418107 157.048055 \nL 200.626458 159.909774 \nL 199.052825 162.677765 \nL 196.449404 167.953305 \nL 194.406347 172.909466 \nL 192.753696 177.572038 \nL 190.0856 186.087571 \nL 188.241504 191.810702 \nL 186.937583 195.321265 \nL 185.49619 198.587938 \nL 183.854453 201.604501 \nL 181.948632 204.357324 \nL 180.875684 205.627923 \nL 179.7107 206.822743 \nL 178.444012 207.93665 \nL 177.06533 208.96333 \nL 175.563668 209.895094 \nL 173.927288 210.722628 \nL 172.143649 211.434713 \nL 170.19938 212.017898 \nL 168.080272 212.456131 \nL 165.771305 212.73032 \nL 163.256721 212.817866 \nL 160.520141 212.692141 \nL 157.544775 212.321934 \nL 154.313723 211.670876 \nL 150.810398 210.696884 \nL 147.019122 209.351689 \nL 142.925907 207.580526 \nL 138.51952 205.322073 \nL 133.792829 202.508853 \nL 128.744518 199.068284 \nL 123.381216 194.924663 \nL 117.720082 190.002415 \nL 111.791847 184.231007 \nL 105.644244 177.551867 \nL 99.345737 169.927607 \nL 92.989256 161.353605 \nL 86.695485 151.871547 \nL 80.615138 141.583932 \nL 74.929313 130.667511 \nL 69.846934 119.382795 \nL 65.598305 108.075566 \nL 62.423818 97.166468 \nL 60.557671 87.125254 \nL 60.2073 78.429213 \nL 61.530395 71.509418 \nL 64.612936 66.693355 \nL 69.452434 64.156321 \nL 75.950309 63.894227 \nL 83.916173 65.726362 \nL 93.08417 69.328188 \nL 103.138652 74.285728 \nL 113.744459 80.157488 \nL 124.576222 86.529255 \nL 145.799419 99.461571 \nL 200.942489 133.325333 \nL 210.608188 139.614125 \nL 218.238224 144.8917 \nL 224.311271 149.364092 \nL 235.365517 157.743665 \nL 238.969296 160.081801 \nL 240.714587 161.032438 \nL 242.451107 161.832504 \nL 244.196762 162.476882 \nL 245.966641 162.959527 \nL 247.773187 163.27361 \nL 249.626313 163.411656 \nL 251.533481 163.365755 \nL 253.49974 163.127748 \nL 255.52771 162.689481 \nL 257.617543 162.043119 \nL 259.766829 161.181501 \nL 261.970478 160.098583 \nL 264.220597 158.789954 \nL 266.506329 157.253408 \nL 268.813722 155.48961 \nL 271.125602 153.502809 \nL 273.421512 151.30156 \nL 275.677718 148.899464 \nL 277.867314 146.315812 \nL 279.960464 143.576149 \nL 281.924796 140.712582 \nL 283.725994 137.763854 \nL 285.32857 134.775022 \nL 286.696871 131.796722 \nL 287.79625 128.883959 \nL 288.59441 126.094401 \nL 289.062837 123.486295 \nL 289.178251 121.116051 \nL 288.923977 119.035641 \nL 288.291128 117.290141 \nL 287.279475 115.91549 \nL 285.897944 114.936781 \nL 284.164645 114.367279 \nL 282.106395 114.208143 \nL 279.757795 114.449036 \nL 277.159893 115.069386 \nL 274.358562 116.040227 \nL 271.402653 117.326378 \nL 268.342176 118.888732 \nL 265.226512 120.68646 \nL 262.102856 122.678932 \nL 259.014941 124.827254 \nL 256.002061 127.095409 \nL 253.098451 129.450957 \nL 250.332968 131.865383 \nL 247.729059 134.31414 \nL 245.304953 136.776426 \nL 243.074048 139.23488 \nL 241.045395 141.675131 \nL 239.224272 144.08535 \nL 237.612786 146.455799 \nL 236.210455 148.778404 \nL 235.014796 151.046381 \nL 234.021845 153.253895 \nL 233.226622 155.39578 \nL 232.623544 157.467301 \nL 232.206776 159.463946 \nL 231.97052 161.38126 \nL 231.909246 163.21469 \nL 232.017867 164.959467 \nL 232.291875 166.610473 \nL 232.727437 168.162141 \nL 233.321433 169.608339 \nL 234.071488 170.94229 \nL 234.975954 172.156451 \nL 236.033869 173.242426 \nL 237.244882 174.190857 \nL 238.609172 174.991341 \nL 240.127312 175.632339 \nL 241.800121 176.101105 \nL 243.62847 176.38365 \nL 245.613063 176.4647 \nL 247.75417 176.327761 \nL 250.05131 175.955175 \nL 252.502884 175.328311 \nL 255.105769 174.427859 \nL 257.854819 173.234243 \nL 260.742342 171.728222 \nL 263.757499 169.891651 \nL 266.885664 167.708555 \nL 270.10774 165.166352 \nL 273.399493 162.257446 \nL 276.730919 158.980977 \nL 280.065685 155.344838 \nL 283.360724 151.367769 \nL 286.566125 147.08142 \nL 289.625312 142.532176 \nL 292.475704 137.782415 \nL 295.049895 132.910965 \nL 297.277502 128.01238 \nL 299.087612 123.194716 \nL 300.411853 118.575721 \nL 301.188002 114.277366 \nL 301.363826 110.419049 \nL 300.900887 107.109987 \nL 299.777926 104.441658 \nL 297.993447 102.481175 \nL 295.567057 101.266529 \nL 292.539384 100.804514 \nL 288.970459 101.071512 \nL 284.936666 102.017066 \nL 280.52659 103.56967 \nL 275.836152 105.643788 \nL 270.963615 108.147224 \nL 266.004832 110.987734 \nL 261.049245 114.078518 \nL 256.176818 117.341926 \nL 251.45599 120.711637 \nL 246.94267 124.133339 \nL 242.680118 127.564338 \nL 238.699516 130.97239 \nL 235.021054 134.334183 \nL 231.655318 137.63365 \nL 228.604822 140.860377 \nL 225.865561 144.008183 \nL 223.428493 147.073927 \nL 221.280876 150.056526 \nL 219.407448 152.956271 \nL 217.791433 155.774233 \nL 216.415361 158.51193 \nL 215.261738 161.171037 \nL 214.313557 163.753216 \nL 213.55469 166.260016 \nL 212.970168 168.692799 \nL 212.546373 171.052698 \nL 212.271155 173.340607 \nL 212.133901 175.557155 \nL 212.125551 177.702693 \nL 212.238594 179.777279 \nL 212.46703 181.78065 \nL 212.806329 183.712193 \nL 213.253375 185.570902 \nL 213.80641 187.355348 \nL 214.464974 189.063597 \nL 215.229858 190.693151 \nL 216.103046 192.240855 \nL 217.087673 193.702792 \nL 218.187983 195.074165 \nL 219.409292 196.349153 \nL 220.757951 197.52075 \nL 222.241303 198.580573 \nL 223.867653 199.518646 \nL 225.646203 200.323157 \nL 227.586998 200.980175 \nL 229.70083 201.473352 \nL 231.999116 201.7836 \nL 234.493737 201.888716 \nL 237.196822 201.763046 \nL 240.120443 201.377126 \nL 243.276228 200.697365 \nL 246.674852 199.685824 \nL 250.325378 198.300135 \nL 254.234418 196.493619 \nL 258.405089 194.215775 \nL 262.835727 191.413215 \nL 267.518339 188.031246 \nL 272.436758 184.016305 \nL 277.564533 179.319428 \nL 282.86262 173.900955 \nL 288.276904 167.736645 \nL 293.735794 160.825075 \nL 299.148127 153.19621 \nL 304.40179 144.920454 \nL 309.363488 136.117071 \nL 313.88031 126.960488 \nL 317.783646 117.682319 \nL 320.895917 108.566888 \nL 323.040406 99.938418 \nL 324.053865 92.138973 \nL 323.801034 85.498318 \nL 322.189411 80.299102 \nL 319.182133 76.743323 \nL 314.806485 74.926718 \nL 309.156136 74.827353 \nL 302.38596 76.311501 \nL 294.699941 79.155722 \nL 286.333923 83.079975 \nL 277.536078 87.78426 \nL 268.548117 92.981483 \nL 259.589795 98.421354 \nL 242.471771 109.280898 \nL 227.214644 119.370312 \nL 214.274683 128.339899 \nL 208.693651 132.401278 \nL 203.677689 136.202062 \nL 199.191062 139.76398 \nL 195.190861 143.109298 \nL 191.630137 146.258994 \nL 188.460297 149.231776 \nL 183.100831 154.707859 \nL 178.746228 159.633103 \nL 168.712108 171.522469 \nL 165.609154 174.52925 \nL 164.003956 175.837445 \nL 162.340076 177.006504 \nL 160.602235 178.027981 \nL 158.776497 178.891974 \nL 156.85015 179.587057 \nL 154.811675 180.100175 \nL 152.650735 180.416625 \nL 150.358252 180.519949 \nL 147.926519 180.391976 \nL 145.349402 180.01285 \nL 142.622621 179.361201 \nL 139.744111 178.41437 \nL 136.714461 177.14885 \nL 133.53747 175.540893 \nL 130.22078 173.567357 \nL 126.776588 171.206879 \nL 123.222448 168.441323 \nL 119.582092 165.257636 \nL 115.886261 161.650063 \nL 112.173451 157.622657 \nL 108.490538 153.192071 \nL 104.893081 148.390347 \nL 101.445292 143.26754 \nL 98.219406 137.893742 \nL 95.294403 132.360102 \nL 92.753889 126.77832 \nL 90.68313 121.278219 \nL 89.165176 116.003002 \nL 88.2763 111.102254 \nL 88.080985 106.722883 \nL 88.626876 102.998959 \nL 89.940286 100.041359 \nL 92.022779 97.928874 \nL 94.849369 96.702035 \nL 98.368755 96.36062 \nL 102.505605 96.865446 \nL 107.164809 98.143985 \nL 112.237124 100.098883 \nL 117.605685 102.617901 \nL 123.152521 105.58388 \nL 128.764517 108.883338 \nL 134.338287 112.412926 \nL 139.783636 116.083583 \nL 145.025618 119.822263 \nL 150.005263 123.571909 \nL 154.679206 127.290119 \nL 159.018532 130.947068 \nL 163.007085 134.52312 \nL 166.639518 138.006534 \nL 169.919277 141.391368 \nL 172.856649 144.675738 \nL 175.466993 147.860455 \nL 177.76918 150.947953 \nL 179.784268 153.941587 \nL 181.534426 156.845086 \nL 183.04207 159.662249 \nL 184.329196 162.396718 \nL 185.416889 165.0519 \nL 186.324972 167.630903 \nL 187.071777 170.136528 \nL 188.146652 174.937444 \nL 188.754769 179.471693 \nL 188.982897 183.752917 \nL 188.893412 187.791921 \nL 188.527122 191.596979 \nL 187.906103 195.173781 \nL 187.036112 198.525028 \nL 185.908404 201.649675 \nL 184.500868 204.541727 \nL 182.778509 207.188463 \nL 181.784794 208.41342 \nL 180.693333 209.567898 \nL 179.495995 210.647108 \nL 178.183744 211.645149 \nL 176.746605 212.554806 \nL 175.173625 213.367316 \nL 173.452858 214.072083 \nL 171.571337 214.656362 \nL 169.515081 215.104868 \nL 167.269114 215.399359 \nL 164.817524 215.518137 \nL 162.143578 215.435508 \nL 159.229881 215.121194 \nL 156.058654 214.539692 \nL 152.612106 213.649657 \nL 148.872973 212.403299 \nL 144.825249 210.745919 \nL 140.455157 208.61564 \nL 135.752432 205.943535 \nL 130.711961 202.654336 \nL 125.335871 198.668004 \nL 119.636065 193.902504 \nL 113.637303 188.278227 \nL 107.380761 181.724437 \nL 100.927986 174.188226 \nL 94.365049 165.646068 \nL 87.806484 156.117947 \nL 81.398437 145.683192 \nL 75.320147 134.496325 \nL 69.78276 122.8 \nL 65.02418 110.931027 \nL 61.299005 99.314679 \nL 58.862741 88.442908 \nL 57.950783 78.834367 \nL 58.753733 70.97842 \nL 61.392257 65.270972 \nL 65.896047 61.9552 \nL 72.191671 61.082258 \nL 80.103038 62.503892 \nL 89.365652 65.900467 \nL 99.652579 70.837096 \nL 110.607156 76.832793 \nL 121.876173 83.425375 \nL 181.945564 119.608182 \nL 207.808156 134.942613 \nL 216.877723 140.560692 \nL 224.028857 145.210713 \nL 238.461697 154.926895 \nL 242.086611 156.975682 \nL 243.817693 157.78376 \nL 245.523489 158.444418 \nL 247.221608 158.954012 \nL 248.926634 159.308139 \nL 250.650308 159.501852 \nL 252.401686 159.529856 \nL 254.187227 159.386693 \nL 256.010888 159.067016 \nL 257.874147 158.565835 \nL 259.77602 157.878825 \nL 261.713039 157.002673 \nL 263.679223 155.935473 \nL 265.666036 154.677164 \nL 267.662367 153.230004 \nL 269.654486 151.599032 \nL 271.626073 149.792593 \nL 273.558314 147.822804 \nL 275.430002 145.70596 \nL 277.217797 143.462871 \nL 278.896561 141.119022 \nL 280.439813 138.704562 \nL 281.820319 136.254069 \nL 283.010816 133.805994 \nL 283.984845 131.40187 \nL 284.717686 129.085183 \nL 285.187334 126.899984 \nL 285.375529 124.889351 \nL 285.268684 123.093666 \nL 284.858724 121.548955 \nL 284.143735 120.285376 \nL 283.128385 119.325935 \nL 281.82403 118.685635 \nL 280.248536 118.371032 \nL 278.425774 118.380364 \nL 276.384836 118.704052 \nL 274.159028 119.325679 \nL 271.784682 120.223254 \nL 269.299917 121.370601 \nL 266.743366 122.738857 \nL 264.153 124.297847 \nL 261.565109 126.017336 \nL 259.013427 127.868016 \nL 256.528487 129.822275 \nL 254.137204 131.854698 \nL 251.862638 133.942362 \nL 249.723948 136.064894 \nL 247.73652 138.204446 \nL 245.912186 140.345505 \nL 244.259555 142.47466 \nL 242.784382 144.580324 \nL 241.489985 146.65245 \nL 240.377646 148.682258 \nL 239.447021 150.661959 \nL 238.69651 152.584527 \nL 238.123611 154.443475 \nL 237.72521 156.232646 \nL 237.497843 157.946081 \nL 237.437923 159.577853 \nL 237.541906 161.121908 \nL 237.806431 162.571998 \nL 238.228402 163.921539 \nL 238.805067 165.163517 \nL 239.534029 166.290413 \nL 240.413251 167.294112 \nL 241.441006 168.165853 \nL 242.615823 168.896142 \nL 243.936375 169.474738 \nL 245.401362 169.890603 \nL 247.009353 170.131947 \nL 248.758586 170.186236 \nL 250.646744 170.04028 \nL 252.670696 169.680406 \nL 254.826197 169.092657 \nL 257.10755 168.263106 \nL 259.507231 167.178272 \nL 262.015487 165.825656 \nL 264.619901 164.194421 \nL 267.30496 162.276221 \nL 270.051612 160.066169 \nL 272.836836 157.563967 \nL 275.633331 154.775123 \nL 278.409228 151.712258 \nL 281.128009 148.396358 \nL 283.74862 144.857932 \nL 286.225826 141.137891 \nL 288.510882 137.287978 \nL 290.552602 133.370621 \nL 292.298765 129.457982 \nL 293.697935 125.63013 \nL 294.701596 121.972296 \nL 295.266537 118.571226 \nL 295.357307 115.51088 \nL 294.948583 112.86784 \nL 294.027221 110.706704 \nL 292.593744 109.07626 \nL 290.663112 108.006616 \nL 288.264623 107.507802 \nL 285.440925 107.569992 \nL 282.246135 108.165275 \nL 278.743333 109.250756 \nL 275.001552 110.772436 \nL 271.092585 112.669537 \nL 267.087915 114.878627 \nL 263.055929 117.337294 \nL 259.059642 119.986942 \nL 255.155043 122.774772 \nL 251.390018 125.654899 \nL 247.803874 128.588684 \nL 244.427378 131.54454 \nL 241.283179 134.497321 \nL 238.386522 137.427513 \nL 235.746153 140.320302 \nL 233.3653 143.164693 \nL 231.242685 145.952668 \nL 229.373495 148.678452 \nL 227.750278 151.337934 \nL 226.363754 153.928151 \nL 225.203501 156.446914 \nL 224.258558 158.892494 \nL 223.517904 161.263411 \nL 222.970843 163.558234 \nL 222.607318 165.775472 \nL 222.418136 167.91344 \nL 222.395136 169.970188 \nL 222.531298 171.943392 \nL 222.82082 173.83031 \nL 223.259144 175.627681 \nL 223.842976 177.331648 \nL 224.570253 178.937646 \nL 225.440128 180.440321 \nL 226.452906 181.833415 \nL 227.60999 183.109629 \nL 228.913804 184.260484 \nL 230.367698 185.276181 \nL 231.975845 186.14541 \nL 233.743116 186.855205 \nL 235.674925 187.390759 \nL 237.777038 187.735231 \nL 240.055358 187.869599 \nL 242.515642 187.772533 \nL 245.163164 187.420305 \nL 248.002308 186.786766 \nL 251.036064 185.843468 \nL 254.26543 184.55994 \nL 257.688704 182.904157 \nL 261.300627 180.843305 \nL 265.091432 178.344943 \nL 269.045727 175.378581 \nL 273.141295 171.917789 \nL 277.347837 167.942909 \nL 281.625649 163.444343 \nL 285.924456 158.426452 \nL 290.182428 152.911808 \nL 294.325608 146.945571 \nL 298.268002 140.599509 \nL 301.912494 133.975007 \nL 305.152938 127.204208 \nL 307.877518 120.448548 \nL 309.973552 113.893736 \nL 311.333656 107.740912 \nL 311.862909 102.193997 \nL 311.486512 97.444262 \nL 310.157056 93.653857 \nL 307.860494 90.940589 \nL 304.619746 89.366767 \nL 300.495328 88.934008 \nL 295.582541 89.585283 \nL 290.005504 91.213667 \nL 283.908732 93.676165 \nL 277.447335 96.810084 \nL 270.777174 100.448914 \nL 264.046026 104.435698 \nL 257.386635 108.632466 \nL 250.912012 112.925347 \nL 244.713052 117.225924 \nL 238.85814 121.469821 \nL 233.394324 125.613484 \nL 228.349506 129.630213 \nL 223.735254 133.506121 \nL 219.549788 137.236516 \nL 215.780904 140.822828 \nL 212.408665 144.270269 \nL 209.407733 147.586083 \nL 206.749343 150.778344 \nL 204.402888 153.855173 \nL 202.337171 156.82426 \nL 200.521352 159.692611 \nL 198.925629 162.466469 \nL 196.283113 167.751801 \nL 194.205833 172.715556 \nL 192.521662 177.383791 \nL 189.79094 185.904841 \nL 187.893607 191.626154 \nL 186.548334 195.131753 \nL 185.059151 198.389499 \nL 183.361634 201.391979 \nL 181.390381 204.123886 \nL 180.280541 205.380772 \nL 179.075568 206.55924 \nL 177.765547 207.65373 \nL 176.339935 208.657425 \nL 174.787492 209.562053 \nL 173.096225 210.357619 \nL 171.253345 211.032113 \nL 169.245251 211.571171 \nL 167.057534 211.957679 \nL 164.675018 212.171342 \nL 162.081848 212.188201 \nL 159.261656 211.980093 \nL 156.19779 211.514107 \nL 152.873658 210.752028 \nL 149.273219 209.649825 \nL 145.381644 208.157244 \nL 141.186195 206.2176 \nL 136.67738 203.767886 \nL 131.850421 200.739427 \nL 126.707117 197.059259 \nL 121.258094 192.652544 \nL 115.525537 187.44641 \nL 109.546357 181.375521 \nL 103.375666 174.389756 \nL 97.090479 166.464185 \nL 90.793239 157.611231 \nL 84.614722 147.894445 \nL 78.715587 137.442524 \nL 73.285691 126.461274 \nL 68.540173 115.240238 \nL 64.711334 104.150036 \nL 62.035634 93.626577 \nL 60.735961 84.139828 \nL 61.000322 76.148005 \nL 62.959295 70.042607 \nL 66.666041 66.094189 \nL 72.08286 64.411569 \nL 79.077943 64.925641 \nL 87.434079 67.40321 \nL 96.868402 71.487996 \nL 107.059763 76.757899 \nL 117.678564 82.784232 \nL 128.41388 89.180095 \nL 158.864265 107.851771 \nL 196.717431 131.215726 \nL 207.071064 137.929197 \nL 215.251566 143.562687 \nL 221.738061 148.342666 \nL 237.010851 160.001101 \nL 238.771895 161.087544 \nL 240.513219 162.026371 \nL 242.254837 162.812958 \nL 244.013869 163.441619 \nL 245.804734 163.905728 \nL 247.639295 164.197852 \nL 249.52696 164.30992 \nL 251.474741 164.233383 \nL 253.487273 163.959437 \nL 255.566776 163.47927 \nL 257.712995 162.784375 \nL 259.923073 161.866954 \nL 262.191416 160.720364 \nL 264.509542 159.339685 \nL 266.865876 157.722328 \nL 269.245626 155.868761 \nL 271.630605 153.783268 \nL 273.999159 151.474746 \nL 276.326173 148.957498 \nL 278.583153 146.251961 \nL 280.738503 143.385296 \nL 282.757916 140.391738 \nL 284.605034 137.312661 \nL 286.242289 134.196214 \nL 287.631979 131.096489 \nL 288.737566 128.07216 \nL 289.525108 125.184608 \nL 289.964844 122.495589 \nL 290.032752 120.064569 \nL 289.712013 117.945894 \nL 288.994261 116.186098 \nL 287.880507 114.821563 \nL 286.381589 113.87669 \nL 284.518121 113.363027 \nL 282.319925 113.279091 \nL 279.824929 113.611208 \nL 277.077647 114.33506 \nL 274.127362 115.417817 \nL 271.026142 116.820531 \nL 267.826813 118.500717 \nL 264.581124 120.41466 \nL 261.338084 122.519439 \nL 258.142683 124.774498 \nL 255.034927 127.142742 \nL 252.049262 129.591157 \nL 249.214319 132.091103 \nL 246.552983 134.618193 \nL 244.082646 137.15206 \nL 241.815685 139.675906 \nL 239.760015 142.176005 \nL 237.919731 144.64122 \nL 236.295752 147.062492 \nL 234.88646 149.432395 \nL 233.688301 151.744758 \nL 232.696337 153.9943 \nL 231.904715 156.176365 \nL 231.307098 158.286687 \nL 230.897009 160.32117 \nL 230.66812 162.275744 \nL 230.614473 164.146212 \nL 230.730673 165.928112 \nL 231.011986 167.616633 \nL 231.454451 169.206462 \nL 232.05491 170.691734 \nL 232.811033 172.065882 \nL 233.721291 173.321568 \nL 234.784921 174.45055 \nL 236.001858 175.443597 \nL 237.372637 176.290383 \nL 238.898269 176.979377 \nL 240.580095 177.497766 \nL 242.419601 177.831398 \nL 244.41819 177.96471 \nL 246.576933 177.880757 \nL 248.896239 177.561258 \nL 251.375517 176.986733 \nL 254.012724 176.136755 \nL 256.803903 174.990319 \nL 259.74262 173.526402 \nL 262.81934 171.724731 \nL 266.020749 169.566754 \nL 269.32904 167.036948 \nL 272.721164 164.124372 \nL 276.168095 160.824548 \nL 279.634183 157.14157 \nL 283.076629 153.090417 \nL 286.445193 148.699287 \nL 289.68226 144.011759 \nL 292.723314 139.088482 \nL 295.498049 134.008077 \nL 297.932074 128.866819 \nL 299.949384 123.776776 \nL 301.475551 118.862166 \nL 302.441497 114.253781 \nL 302.787678 110.081841 \nL 302.468366 106.467618 \nL 301.455551 103.514956 \nL 299.74207 101.302409 \nL 297.343482 99.877454 \nL 294.298352 99.253426 \nL 290.666862 99.409769 \nL 286.527735 100.2955 \nL 281.973858 101.8354 \nL 277.10699 103.937735 \nL 272.032239 106.502561 \nL 266.852761 109.429322 \nL 261.665199 112.62315 \nL 256.556172 115.999205 \nL 251.599905 119.485216 \nL 246.857051 123.022314 \nL 242.374478 126.564589 \nL 238.185894 130.077779 \nL 234.312995 133.537506 \nL 230.767018 136.927388 \nL 227.550408 140.237208 \nL 224.658534 143.46133 \nL 222.081304 146.597344 \nL 219.804631 149.64502 \nL 217.811719 152.605481 \nL 216.084151 155.480653 \nL 214.602769 158.272842 \nL 213.348395 160.984476 \nL 212.302369 163.617903 \nL 211.446967 166.175339 \nL 210.765687 168.658766 \nL 210.243446 171.069931 \nL 209.866699 173.410349 \nL 209.623497 175.681271 \nL 209.497956 180.01841 \nL 209.802888 184.086405 \nL 210.498116 187.886014 \nL 211.56519 191.412934 \nL 212.237846 193.071092 \nL 213.005389 194.656469 \nL 213.870794 196.166398 \nL 214.838087 197.597513 \nL 215.912326 198.945624 \nL 217.099576 200.205601 \nL 218.406893 201.371187 \nL 219.842313 202.434832 \nL 221.41483 203.387474 \nL 223.134377 204.218282 \nL 225.011792 204.914381 \nL 227.058762 205.460532 \nL 229.28775 205.838772 \nL 231.711879 206.028033 \nL 234.34476 206.003711 \nL 237.200271 205.737249 \nL 240.29222 205.195697 \nL 243.633935 204.341342 \nL 247.237668 203.131409 \nL 251.113866 201.517934 \nL 255.270199 199.447912 \nL 259.710363 196.863822 \nL 264.432556 193.704763 \nL 269.427673 189.908347 \nL 274.677124 185.413647 \nL 280.150336 180.165473 \nL 285.801991 174.120153 \nL 291.569112 167.253046 \nL 297.368241 159.567703 \nL 303.093025 151.106348 \nL 308.61275 141.960741 \nL 313.772441 132.282015 \nL 318.39522 122.287282 \nL 322.287702 112.260227 \nL 325.248962 102.542973 \nL 327.083246 93.516961 \nL 327.615763 85.572462 \nL 326.710378 79.069181 \nL 324.286606 74.293579 \nL 320.333253 71.421072 \nL 314.915546 70.492037 \nL 308.173848 71.407908 \nL 300.313319 73.949252 \nL 291.585993 77.811213 \nL 282.268283 82.648017 \nL 272.63781 88.116155 \nL 262.953046 93.908407 \nL 244.275065 105.528501 \nL 227.501989 116.253754 \nL 213.223823 125.639147 \nL 201.513807 133.70244 \nL 192.133013 140.63911 \nL 184.696013 146.664805 \nL 178.778496 151.95287 \nL 173.976686 156.621316 \nL 164.653826 165.940066 \nL 161.313725 168.747539 \nL 159.627325 169.941827 \nL 157.904474 170.988218 \nL 156.128687 171.878878 \nL 154.285424 172.60468 \nL 152.361984 173.155203 \nL 150.347429 173.518756 \nL 148.232587 173.682413 \nL 146.010088 173.632075 \nL 143.674467 173.352604 \nL 141.222335 172.828025 \nL 138.652618 172.041795 \nL 135.966854 170.977234 \nL 133.169558 169.618062 \nL 130.268642 167.949124 \nL 127.275899 165.957308 \nL 124.207498 163.632642 \nL 121.084479 160.969643 \nL 117.933271 157.968857 \nL 114.786047 154.638517 \nL 111.68104 150.996307 \nL 108.662551 147.071074 \nL 105.780759 142.90432 \nL 103.091085 138.551216 \nL 100.653166 134.080978 \nL 98.529269 129.576274 \nL 96.782217 125.131418 \nL 95.472777 120.849317 \nL 94.656658 116.83705 \nL 94.381261 113.200331 \nL 94.682449 110.037344 \nL 95.581618 107.432363 \nL 97.083405 105.450134 \nL 99.174338 104.131542 \nL 101.822638 103.491251 \nL 104.979274 103.517748 \nL 108.580214 104.175528 \nL 112.549704 105.409366 \nL 116.804192 107.149698 \nL 121.256568 109.318685 \nL 125.820244 111.835932 \nL 130.41283 114.623413 \nL 134.95906 117.609231 \nL 139.392916 120.730012 \nL 143.658877 123.932115 \nL 147.712385 127.171793 \nL 151.519649 130.414613 \nL 155.056951 133.634392 \nL 158.309608 136.811931 \nL 161.270724 139.933666 \nL 163.93987 142.990444 \nL 166.321794 145.976423 \nL 168.425182 148.888139 \nL 170.261567 151.723787 \nL 171.844349 154.48265 \nL 173.187992 157.164687 \nL 174.307342 159.770221 \nL 175.217088 162.299712 \nL 175.931344 164.753603 \nL 176.463326 167.132242 \nL 176.825122 169.435767 \nL 177.027541 171.664082 \nL 177.080001 173.816806 \nL 176.990486 175.893223 \nL 176.765521 177.892235 \nL 176.410179 179.812333 \nL 175.928109 181.651519 \nL 175.321572 183.407254 \nL 174.591487 185.076379 \nL 173.73748 186.65502 \nL 172.757943 188.138487 \nL 171.650086 189.521133 \nL 170.409996 190.796228 \nL 169.0327 191.955798 \nL 167.512234 192.990434 \nL 165.841718 193.889094 \nL 164.013451 194.638861 \nL 162.019021 195.224719 \nL 159.849451 195.629273 \nL 157.495375 195.832489 \nL 154.947268 195.811428 \nL 152.195743 195.539994 \nL 149.231929 194.988743 \nL 146.047932 194.124767 \nL 142.637452 192.911718 \nL 138.996504 191.310023 \nL 135.124345 189.277405 \nL 131.024549 186.769788 \nL 126.706327 183.742726 \nL 122.186013 180.153493 \nL 117.48876 175.96397 \nL 112.650394 171.144476 \nL 107.719284 165.678577 \nL 102.758186 159.568836 \nL 97.845748 152.843326 \nL 93.077452 145.562346 \nL 88.565639 137.824647 \nL 84.438155 129.772006 \nL 80.835264 121.590676 \nL 77.90444 113.508301 \nL 75.79293 105.784839 \nL 74.638243 98.697053 \nL 74.557181 92.517034 \nL 75.634465 87.486899 \nL 77.912523 83.793457 \nL 81.384031 81.547227 \nL 85.988807 80.770329 \nL 91.61593 81.396009 \nL 98.111149 83.280168 \nL 105.288659 86.222358 \nL 112.945456 89.991766 \nL 120.876193 94.353001 \nL 128.88652 99.087529 \nL 136.803454 104.00815 \nL 144.482134 108.966065 \nL 151.808886 113.851675 \nL 158.701265 118.590979 \nL 165.105785 123.13944 \nL 170.994269 127.475174 \nL 176.359528 131.592417 \nL 181.210948 135.496031 \nL 185.57036 139.197127 \nL 189.468412 142.709925 \nL 192.941516 146.049546 \nL 196.029389 149.230653 \nL 198.773138 152.266663 \nL 201.213821 155.169345 \nL 205.344101 160.612962 \nL 208.716097 165.621453 \nL 217.917158 180.09264 \nL 220.532071 183.349798 \nL 221.923063 184.817742 \nL 223.388646 186.171039 \nL 224.942191 187.402467 \nL 226.596589 188.503385 \nL 228.364352 189.463575 \nL 230.257677 190.271061 \nL 232.288486 190.911897 \nL 234.46839 191.369961 \nL 236.808633 191.626742 \nL 239.319956 191.661132 \nL 242.012388 191.449269 \nL 244.894966 190.964402 \nL 247.97534 190.176857 \nL 251.259256 189.054137 \nL 254.74994 187.561211 \nL 258.447286 185.661062 \nL 262.346929 183.315604 \nL 266.439104 180.487023 \nL 270.707383 177.139705 \nL 275.127228 173.242826 \nL 279.664468 168.773687 \nL 284.27376 163.72184 \nL 288.897146 158.093901 \nL 293.462902 151.91888 \nL 297.884918 145.253592 \nL 302.062898 138.187536 \nL 305.883661 130.846281 \nL 309.22393 123.392346 \nL 311.954802 116.022381 \nL 313.947998 108.959662 \nL 315.083756 102.441582 \nL 315.259837 96.702529 \nL 314.40085 91.953765 \nL 312.466704 88.363008 \nL 309.458917 86.03715 \nL 305.423599 85.011441 \nL 300.450312 85.247412 \nL 294.666697 86.640063 \nL 288.229459 89.033015 \nL 281.312948 92.23832 \nL 274.096972 96.057265 \nL 266.75535 100.298701 \nL 259.446518 104.792609 \nL 252.306924 109.39804 \nL 245.447342 114.005753 \nL 238.951843 118.536938 \nL 232.878858 122.939264 \nL 227.263712 127.181815 \nL 222.121933 131.249818 \nL 217.4529 135.139894 \nL 213.243402 138.85607 \nL 209.470906 142.406757 \nL 206.106406 145.802523 \nL 203.116778 149.054581 \nL 200.466694 152.173847 \nL 198.120095 155.170384 \nL 196.041302 158.053125 \nL 194.195806 160.829784 \nL 191.075536 166.089947 \nL 188.522227 170.990712 \nL 181.423075 185.589693 \nL 179.35379 189.044576 \nL 177.069313 192.158775 \nL 175.817355 193.578936 \nL 174.477126 194.900997 \nL 173.037275 196.118414 \nL 171.486318 197.223292 \nL 169.812557 198.206177 \nL 168.004023 199.055823 \nL 166.048442 199.758934 \nL 163.933251 200.299882 \nL 161.645633 200.660387 \nL 159.172618 200.819183 \nL 156.501248 200.751688 \nL 153.618814 200.429652 \nL 150.513184 199.820882 \nL 147.173268 198.888998 \nL 143.589607 197.593362 \nL 139.755143 195.889178 \nL 135.666194 193.727927 \nL 131.32365 191.058223 \nL 126.734441 187.827264 \nL 121.913235 183.983073 \nL 116.884457 179.477713 \nL 111.68447 174.271643 \nL 106.363939 168.33937 \nL 100.990125 161.676424 \nL 95.648957 154.307353 \nL 90.44645 146.294364 \nL 85.509102 137.745505 \nL 80.982624 128.821054 \nL 77.028595 119.736181 \nL 73.81839 110.757808 \nL 71.524271 102.193793 \nL 70.307695 94.373402 \nL 70.305653 87.61981 \nL 71.61646 82.21754 \nL 74.286923 78.379795 \nL 78.303236 76.222149 \nL 83.587578 75.748589 \nL 90.001583 76.853552 \nL 97.356616 79.339806 \nL 105.429378 82.948034 \nL 113.980335 87.391451 \nL 122.772093 92.388328 \nL 131.585142 97.687096 \nL 140.229335 103.081397 \nL 156.432634 113.582003 \nL 170.594784 123.181501 \nL 176.80921 127.571362 \nL 182.44267 131.690478 \nL 187.515083 135.55387 \nL 192.058403 139.181128 \nL 196.112612 142.593216 \nL 199.722472 145.810416 \nL 202.935009 148.851152 \nL 205.797614 151.73145 \nL 210.656692 157.0619 \nL 214.644424 161.87987 \nL 222.658499 171.906652 \nL 225.663757 175.111531 \nL 227.210636 176.528738 \nL 228.81047 177.814565 \nL 230.479037 178.961444 \nL 232.230851 179.960401 \nL 234.079298 180.800953 \nL 236.036704 181.471011 \nL 238.114358 181.956764 \nL 240.322512 182.242605 \nL 242.670273 182.311062 \nL 245.165471 182.142764 \nL 247.814416 181.716493 \nL 250.62161 181.009312 \nL 253.589333 179.996817 \nL 256.717149 178.653577 \nL 260.001315 176.953757 \nL 263.43408 174.872027 \nL 267.002877 172.384819 \nL 270.689471 169.471902 \nL 274.469012 166.118411 \nL 278.30913 162.317286 \nL 282.16905 158.07207 \nL 285.998937 153.399996 \nL 289.739458 148.335156 \nL 293.321841 142.93143 \nL 296.668516 137.264776 \nL 299.694534 131.434396 \nL 302.309893 125.562116 \nL 304.422883 119.789593 \nL 305.944374 114.272853 \nL 306.792925 109.174228 \nL 306.900407 104.652052 \nL 306.217555 100.849096 \nL 304.718887 97.881023 \nL 302.406363 95.826675 \nL 299.31107 94.721679 \nL 295.49266 94.556481 \nL 291.036413 95.279175 \nL 286.048204 96.802745 \nL 280.647916 99.015156 \nL 274.962175 101.790852 \nL 269.117142 105.001726 \nL 263.232147 108.526325 \nL 257.41468 112.256413 \nL 251.756965 116.100698 \nL 246.334151 119.98615 \nL 241.203916 123.857273 \nL 236.407219 127.6742 \nL 231.969822 131.410095 \nL 227.904301 135.04844 \nL 224.212263 138.580429 \nL 220.886562 142.002769 \nL 217.913384 145.315859 \nL 215.27411 148.522433 \nL 212.946922 151.626508 \nL 210.908134 154.63271 \nL 209.133269 157.545797 \nL 207.5979 160.370375 \nL 206.278278 163.110762 \nL 205.151794 165.7709 \nL 204.197285 168.354347 \nL 202.727859 173.303611 \nL 201.734877 177.980402 \nL 201.11087 182.402584 \nL 200.773815 186.585176 \nL 200.663806 190.541137 \nL 200.739509 194.281834 \nL 200.974923 197.817315 \nL 201.356685 201.156327 \nL 201.882016 204.306228 \nL 202.557322 207.272727 \nL 203.397391 210.059467 \nL 204.425151 212.667393 \nL 205.671922 215.093803 \nL 207.178134 217.330953 \nL 208.994467 219.364044 \nL 210.037939 220.296804 \nL 211.183379 221.168247 \nL 212.440739 221.973001 \nL 213.820952 222.704444 \nL 215.335999 223.354442 \nL 216.99897 223.91307 \nL 218.824129 224.368252 \nL 220.826953 224.70535 \nL 223.024163 224.906688 \nL 225.43372 224.950993 \nL 228.074781 224.812748 \nL 230.9676 224.461464 \nL 234.133332 223.860876 \nL 237.593743 222.968087 \nL 241.370749 221.732661 \nL 245.485786 220.095781 \nL 249.958875 217.989516 \nL 254.807397 215.33639 \nL 260.044438 212.049457 \nL 265.676624 208.033196 \nL 271.701359 203.185629 \nL 278.103364 197.402258 \nL 284.850504 190.582369 \nL 291.888896 182.638453 \nL 299.137456 173.50933 \nL 306.482234 163.177226 \nL 313.771181 151.68846 \nL 320.810233 139.176198 \nL 327.362195 125.882074 \nL 333.150007 112.17154 \nL 337.866288 98.535976 \nL 341.190526 85.574012 \nL 342.81443 73.946459 \nL 342.474032 64.304575 \nL 339.984713 57.200118 \nL 335.273076 52.995278 \nL 328.398144 51.796401 \nL 319.555502 53.432924 \nL 309.061366 57.490769 \nL 297.318625 63.391581 \nL 284.772008 70.494148 \nL 258.985943 85.970464 \nL 246.473007 93.46068 \nL 234.572184 100.418824 \nL 223.453195 106.717519 \nL 213.215129 112.315265 \nL 203.899275 117.228121 \nL 187.99222 125.21423 \nL 175.398334 131.201447 \nL 161.522185 137.517146 \nL 149.520495 142.715493 \nL 145.305091 144.370902 \nL 141.845633 145.534673 \nL 138.913048 146.262971 \nL 136.341813 146.592159 \nL 134.018807 146.548658 \nL 131.873631 146.156105 \nL 129.870492 145.44075 \nL 128.001294 144.435586 \nL 126.279684 143.1834 \nL 124.735522 141.738598 \nL 123.40939 140.167645 \nL 122.347028 138.547768 \nL 121.593474 136.96383 \nL 121.187248 135.50343 \nL 121.154884 134.250724 \nL 121.282746 133.725949 \nL 121.506318 133.279695 \nL 121.823741 132.918594 \nL 122.231865 132.647952 \nL 122.726234 132.471651 \nL 123.949801 132.410167 \nL 125.435907 132.735728 \nL 127.111992 133.427949 \nL 128.896857 134.448133 \nL 130.706443 135.744033 \nL 132.459294 137.254933 \nL 134.080988 138.916191 \nL 135.507285 140.662815 \nL 136.685854 142.4319 \nL 137.57678 144.163973 \nL 138.152147 145.803494 \nL 138.395073 147.298872 \nL 138.298528 148.602188 \nL 137.86426 149.668954 \nL 137.102035 150.458096 \nL 136.029271 150.932312 \nL 134.671189 151.058999 \nL 133.061381 150.811865 \nL 131.242687 150.173234 \nL 129.2682 149.137129 \nL 127.202116 147.71289 \nL 125.119987 145.928989 \nL 123.10799 143.836514 \nL 121.26072 141.511328 \nL 119.677165 139.053998 \nL 118.454661 136.586407 \nL 117.68113 134.244602 \nL 117.485451 133.16463 \nL 117.426226 132.167895 \nL 117.507887 131.270134 \nL 117.732742 130.48559 \nL 118.100798 129.826618 \nL 118.609702 129.303358 \nL 119.254726 128.923492 \nL 120.028796 128.692068 \nL 120.922652 128.611452 \nL 121.925053 128.681356 \nL 123.023005 128.898979 \nL 125.446882 129.754934 \nL 128.068276 131.115996 \nL 130.755422 132.897002 \nL 133.381396 135.001533 \nL 135.832491 137.33095 \nL 138.013553 139.790742 \nL 139.850292 142.294033 \nL 141.289021 144.762748 \nL 142.294621 147.1271 \nL 142.847567 149.324167 \nL 142.940784 151.296111 \nL 142.815484 152.180548 \nL 142.576849 152.988464 \nL 142.226375 153.713355 \nL 141.76596 154.348793 \nL 141.197891 154.888418 \nL 140.524856 155.325944 \nL 139.749963 155.655183 \nL 138.876775 155.87009 \nL 137.909376 155.964822 \nL 136.852425 155.933812 \nL 135.711248 155.771892 \nL 134.49192 155.47442 \nL 133.201364 155.03743 \nL 131.847453 154.457839 \nL 128.986412 152.864229 \nL 125.994412 150.695234 \nL 122.977578 147.982476 \nL 120.063088 144.796125 \nL 117.396815 141.251653 \nL 116.206022 139.394297 \nL 115.137094 137.512131 \nL 114.209979 135.632169 \nL 113.44378 133.783269 \nL 112.856197 131.99546 \nL 112.462942 130.299113 \nL 112.277131 128.724031 \nL 112.30872 127.29848 \nL 112.564011 126.048201 \nL 113.045258 124.995501 \nL 113.750395 124.158473 \nL 114.672941 123.550401 \nL 115.802042 123.179381 \nL 117.122723 123.048241 \nL 118.616283 123.15463 \nL 120.260846 123.491438 \nL 122.032034 124.047368 \nL 123.903661 124.80762 \nL 125.848547 125.754714 \nL 127.839239 126.869307 \nL 131.851066 129.51892 \nL 135.738921 132.59202 \nL 139.333604 135.934349 \nL 142.504311 139.411131 \nL 145.159389 142.90976 \nL 147.242231 146.337907 \nL 148.05931 148.001242 \nL 148.724486 149.619374 \nL 149.237371 151.184503 \nL 149.598418 152.68923 \nL 149.808707 154.126437 \nL 149.869799 155.489167 \nL 149.783573 156.770499 \nL 149.552126 157.963484 \nL 149.177683 159.061039 \nL 148.662547 160.055883 \nL 148.009068 160.94049 \nL 147.219644 161.707026 \nL 146.296756 162.347342 \nL 145.24302 162.852943 \nL 144.061266 163.215022 \nL 142.754646 163.424496 \nL 141.326774 163.472067 \nL 139.781879 163.348342 \nL 138.124986 163.043991 \nL 136.362124 162.549937 \nL 134.50055 161.857639 \nL 132.548993 160.959443 \nL 130.517892 159.848955 \nL 128.419679 158.521543 \nL 126.26899 156.974899 \nL 124.082915 155.209636 \nL 121.881182 153.229995 \nL 119.686273 151.04449 \nL 117.52347 148.666634 \nL 115.420794 146.115525 \nL 113.408813 143.41634 \nL 111.52026 140.600616 \nL 109.789481 137.706287 \nL 108.251717 134.777312 \nL 106.942125 131.862948 \nL 105.894677 129.01653 \nL 105.140881 126.293862 \nL 104.7084 123.751148 \nL 104.619718 121.442685 \nL 104.890796 119.418436 \nL 105.530014 117.721622 \nL 106.537333 116.386649 \nL 107.903858 115.437502 \nL 109.611837 114.886801 \nL 111.635135 114.7356 \nL 113.940138 114.973938 \nL 116.487012 115.582028 \nL 119.231311 116.53206 \nL 122.125688 117.790215 \nL 125.121695 119.318868 \nL 128.17144 121.078638 \nL 131.229101 123.03025 \nL 134.252162 125.136033 \nL 137.202349 127.360968 \nL 140.046233 129.673425 \nL 142.755549 132.045474 \nL 145.307235 134.452969 \nL 147.683258 136.875356 \nL 149.870259 139.295367 \nL 151.859095 141.698639 \nL 153.64429 144.073268 \nL 155.223469 146.409378 \nL 156.596783 148.698734 \nL 157.766355 150.934355 \nL 158.735781 153.110196 \nL 159.509668 155.220892 \nL 160.093243 157.261489 \nL 160.492009 159.227268 \nL 160.711456 161.113564 \nL 160.756848 162.915618 \nL 160.633035 164.628457 \nL 160.344337 166.246759 \nL 159.894438 167.76476 \nL 159.286351 169.176142 \nL 158.522394 170.473933 \nL 157.604209 171.650391 \nL 156.532796 172.696952 \nL 155.308591 173.604097 \nL 153.931573 174.361275 \nL 152.401376 174.956831 \nL 150.717458 175.377959 \nL 148.879296 175.610644 \nL 146.886612 175.639687 \nL 144.739649 175.448723 \nL 142.439485 175.020384 \nL 139.988408 174.336472 \nL 137.390342 173.378292 \nL 134.651315 172.12711 \nL 131.780008 170.564782 \nL 128.788335 168.674595 \nL 125.692063 166.442294 \nL 122.511459 163.857416 \nL 119.271925 160.91481 \nL 116.004582 157.616416 \nL 112.746734 153.973184 \nL 109.54219 150.007074 \nL 106.441281 145.752934 \nL 103.50053 141.260074 \nL 100.781878 136.593262 \nL 98.351381 131.832824 \nL 96.27729 127.07357 \nL 94.62752 122.422254 \nL 93.466586 117.993542 \nL 92.852112 113.904464 \nL 92.831148 110.267798 \nL 93.436658 107.184795 \nL 94.68446 104.738218 \nL 96.571078 102.98646 \nL 99.072768 101.959644 \nL 102.145951 101.658213 \nL 105.729055 102.054308 \nL 109.745672 103.095565 \nL 114.108682 104.710853 \nL 118.724896 106.817002 \nL 123.499788 109.325582 \nL 128.341859 112.149062 \nL 133.166317 115.205567 \nL 137.897793 118.422256 \nL 142.472129 121.737066 \nL 146.837182 125.099259 \nL 150.952848 128.468911 \nL 154.790435 131.815829 \nL 158.331589 135.118071 \nL 161.566959 138.360406 \nL 164.494728 141.532836 \nL 167.11915 144.629266 \nL 169.449154 147.646434 \nL 171.497084 150.583012 \nL 173.277589 153.438941 \nL 174.806681 156.214927 \nL 176.100968 158.912086 \nL 177.177021 161.531686 \nL 178.050894 164.075005 \nL 178.737758 166.543208 \nL 179.251636 168.937268 \nL 179.605221 171.257949 \nL 179.809767 173.505746 \nL 179.87502 175.680888 \nL 179.809203 177.783291 \nL 179.619018 179.812538 \nL 179.309682 181.767861 \nL 178.884965 183.648078 \nL 178.347239 185.451545 \nL 177.697532 187.176109 \nL 176.935584 188.819018 \nL 176.059897 190.376837 \nL 175.067786 191.845347 \nL 173.955428 193.219406 \nL 172.717905 194.492824 \nL 171.349255 195.65818 \nL 169.842513 196.706648 \nL 168.189775 197.627773 \nL 166.382258 198.409227 \nL 164.410384 199.036542 \nL 162.263895 199.492822 \nL 159.931986 199.758419 \nL 157.403506 199.810622 \nL 154.667195 199.623315 \nL 151.712026 199.16669 \nL 148.527631 198.407 \nL 145.104839 197.306419 \nL 141.436393 195.823072 \nL 137.517813 193.911321 \nL 133.348489 191.522409 \nL 128.932986 188.605618 \nL 124.282624 185.110071 \nL 119.417267 180.987421 \nL 114.367404 176.195548 \nL 109.176328 170.703424 \nL 103.902407 164.497248 \nL 98.621192 157.587705 \nL 93.427072 150.017989 \nL 88.434157 141.871961 \nL 83.775803 133.281142 \nL 79.602376 124.429133 \nL 76.076638 115.551341 \nL 73.366494 106.928287 \nL 71.634979 98.87092 \nL 71.027943 91.697921 \nL 71.660527 85.706549 \nL 73.603979 81.140949 \nL 76.874958 78.16339 \nL 81.429359 76.834479 \nL 87.162257 77.10708 \nL 93.914489 78.83573 \nL 101.48517 81.799461 \nL 109.648231 85.733012 \nL 118.170315 90.359406 \nL 126.827457 95.418132 \nL 135.418421 100.6848 \nL 143.773619 105.981252 \nL 159.278897 116.186677 \nL 172.695353 125.471522 \nL 178.549863 129.720842 \nL 183.842431 133.715868 \nL 188.597581 137.472538 \nL 192.849874 141.009909 \nL 196.640332 144.347597 \nL 200.013607 147.504148 \nL 203.015782 150.49619 \nL 208.089099 156.041461 \nL 212.207101 161.069459 \nL 223.12841 175.114563 \nL 224.604106 176.671611 \nL 226.121085 178.106621 \nL 227.695905 179.413361 \nL 229.343875 180.584268 \nL 231.079207 181.610377 \nL 232.915138 182.481173 \nL 234.863994 183.184506 \nL 236.937231 183.706428 \nL 239.145404 184.031095 \nL 241.498091 184.140685 \nL 244.003736 184.015301 \nL 246.669433 183.633008 \nL 249.500603 182.969872 \nL 252.500611 182.000205 \nL 255.670244 180.696906 \nL 259.0071 179.032047 \nL 262.504862 176.977733 \nL 266.152459 174.507299 \nL 269.933124 171.596894 \nL 273.823389 168.227515 \nL 277.792044 164.38753 \nL 281.799142 160.075662 \nL 285.795122 155.304326 \nL 289.720233 150.103152 \nL 293.504336 144.522434 \nL 297.067357 138.636021 \nL 300.320514 132.543104 \nL 303.168554 126.368253 \nL 305.513063 120.259091 \nL 307.256911 114.381056 \nL 308.309695 108.909171 \nL 308.593843 104.017022 \nL 308.050867 99.86395 \nL 306.647082 96.581964 \nL 304.378049 94.264195 \nL 301.270946 92.956825 \nL 297.384499 92.655957 \nL 292.806151 93.310041 \nL 287.646825 94.827344 \nL 282.033826 97.087147 \nL 276.10279 99.952603 \nL 269.989624 103.283412 \nL 263.823342 106.946304 \nL 257.720331 110.822688 \nL 251.780453 114.813014 \nL 246.084958 118.838181 \nL 240.696018 122.83875 \nL 235.657532 126.772684 \nL 230.996821 130.612388 \nL 226.726874 134.341539 \nL 222.8488 137.952186 \nL 219.354272 141.442242 \nL 216.227815 144.81346 \nL 213.448843 148.069912 \nL 210.993395 151.216892 \nL 208.835575 154.260166 \nL 206.948694 157.205489 \nL 205.306165 160.058327 \nL 203.882163 162.823704 \nL 202.6521 165.506158 \nL 200.683367 170.638084 \nL 199.236982 175.481444 \nL 198.179003 180.058122 \nL 197.402811 184.386091 \nL 196.591024 190.444719 \nL 195.873677 197.781592 \nL 194.715206 210.236453 \nL 193.958261 215.497817 \nL 193.205684 219.068203 \nL 192.222579 222.335242 \nL 191.398631 224.349337 \nL 190.404313 226.232319 \nL 189.201836 227.980597 \nL 187.745165 229.585878 \nL 185.978152 231.033096 \nL 183.832335 232.297333 \nL 181.224426 233.339264 \nL 179.716423 233.759053 \nL 178.053524 234.098482 \nL 176.219889 234.345107 \nL 174.198232 234.483721 \nL 171.969755 234.495801 \nL 169.514119 234.358841 \nL 166.809446 234.045579 \nL 163.832387 233.523112 \nL 160.558281 232.75188 \nL 156.961424 231.684558 \nL 153.015505 230.264855 \nL 148.694281 228.426308 \nL 143.972535 226.091163 \nL 138.827428 223.169519 \nL 133.240354 219.559013 \nL 127.199429 215.145393 \nL 120.702715 209.804572 \nL 113.762394 203.406862 \nL 106.409889 195.824242 \nL 98.702003 186.941755 \nL 90.727957 176.673885 \nL 82.616888 164.986654 \nL 74.54506 151.925078 \nL 66.741501 137.644157 \nL 59.490239 122.439045 \nL 53.126693 106.767022 \nL 48.025536 91.250858 \nL 44.578005 76.652183 \nL 43.157727 63.806374 \nL 44.077382 53.519108 \nL 47.541762 46.439019 \nL 53.606778 42.935859 \nL 62.155237 43.021396 \nL 72.898113 46.342737 \nL 85.404162 52.255077 \nL 99.152168 59.95148 \nL 113.593683 68.608014 \nL 128.211758 77.502817 \nL 142.564481 86.084951 \nL 156.308408 93.991458 \nL 169.203136 101.026947 \nL 181.102295 107.124529 \nL 191.937046 112.30389 \nL 201.697335 116.635392 \nL 210.414255 120.213624 \nL 218.145267 123.14001 \nL 224.96276 125.512604 \nL 230.94574 127.420928 \nL 236.174155 128.943952 \nL 244.671398 131.097281 \nL 251.008174 132.406549 \nL 257.43331 133.446877 \nL 261.949696 134.129409 \nL 262.997508 134.444923 \nL 263.467924 134.839809 \nL 263.496842 135.35234 \nL 263.200474 135.999528 \nL 262.023866 137.684251 \nL 260.603733 139.754683 \nL 259.68113 141.41193 \nL 259.048895 143.024655 \nL 258.839065 144.015208 \nL 258.820503 144.898163 \nL 259.002505 145.641854 \nL 259.386496 146.217563 \nL 259.966469 146.600196 \nL 260.729302 146.769056 \nL 261.654983 146.708816 \nL 262.716738 146.410672 \nL 263.881216 145.873653 \nL 265.108783 145.105968 \nL 266.354088 144.126288 \nL 267.567029 142.964662 \nL 268.694354 141.66287 \nL 269.681787 140.273804 \nL 270.476904 138.859748 \nL 271.032457 137.489371 \nL 271.31004 136.233506 \nL 271.283558 135.160125 \nL 270.942173 134.32904 \nL 270.292178 133.787066 \nL 269.357427 133.564377 \nL 268.178171 133.672597 \nL 266.808367 134.104836 \nL 265.311877 134.837467 \nL 263.757931 135.833231 \nL 262.216554 137.044982 \nL 260.754494 138.419471 \nL 259.43196 139.900664 \nL 258.300381 141.432339 \nL 257.401197 142.95986 \nL 256.765531 144.431244 \nL 256.41445 145.797687 \nL 256.359612 147.013678 \nL 256.604008 148.037139 \nL 257.1426 148.8295 \nL 257.962742 149.35608 \nL 259.044265 149.586849 \nL 260.35928 149.497625 \nL 261.871724 149.07178 \nL 263.536818 148.302528 \nL 265.300636 147.195565 \nL 267.100021 145.771888 \nL 268.86324 144.070339 \nL 270.511651 142.149329 \nL 271.962676 140.086987 \nL 273.134198 137.979109 \nL 273.950317 135.9344 \nL 274.347967 134.066972 \nL 274.375329 133.234551 \nL 274.283626 132.486789 \nL 274.071424 131.835089 \nL 273.739139 131.289334 \nL 273.289073 130.857665 \nL 272.725422 130.546273 \nL 272.054227 130.35932 \nL 271.283262 130.298849 \nL 270.421876 130.364837 \nL 268.471905 130.866299 \nL 266.302271 131.826676 \nL 264.020638 133.186359 \nL 261.735779 134.870955 \nL 259.550069 136.798819 \nL 257.553794 138.887241 \nL 255.821748 141.056645 \nL 254.411964 143.232937 \nL 253.36614 145.348248 \nL 252.71123 147.340627 \nL 252.461511 149.153153 \nL 252.620742 150.732885 \nL 252.85245 151.419759 \nL 253.1839 152.029917 \nL 253.613279 152.557519 \nL 254.138332 152.996876 \nL 254.756346 153.342463 \nL 255.464144 153.588975 \nL 256.258039 153.731347 \nL 257.133804 153.764851 \nL 259.111012 153.488402 \nL 261.348991 152.731743 \nL 263.788428 151.479412 \nL 266.355477 149.73369 \nL 268.960339 147.520743 \nL 271.497119 144.896681 \nL 273.845741 141.95238 \nL 275.8766 138.815183 \nL 277.458568 135.645699 \nL 278.042485 134.105926 \nL 278.470031 132.628258 \nL 278.729679 131.236817 \nL 278.81219 129.954906 \nL 278.711007 128.804331 \nL 278.422578 127.804694 \nL 277.9466 126.972783 \nL 277.286176 126.322045 \nL 276.447826 125.862202 \nL 275.441417 125.599035 \nL 274.279922 125.534342 \nL 272.979111 125.666044 \nL 271.557126 125.988497 \nL 270.033972 126.492854 \nL 268.430995 127.167612 \nL 265.074165 128.972263 \nL 261.662884 131.278189 \nL 258.36156 133.952946 \nL 255.311588 136.868604 \nL 252.625307 139.9094 \nL 250.384755 142.974615 \nL 248.644053 145.978203 \nL 247.433954 148.846299 \nL 247.032434 150.208995 \nL 246.767253 151.513998 \nL 246.638048 152.754051 \nL 246.643942 153.922055 \nL 246.783636 155.011001 \nL 247.055504 156.013891 \nL 247.457631 156.923692 \nL 247.987879 157.733286 \nL 248.643878 158.435435 \nL 249.423018 159.022766 \nL 250.322426 159.487778 \nL 251.338899 159.822858 \nL 252.468827 160.020335 \nL 253.708106 160.072563 \nL 255.052005 159.97199 \nL 256.495034 159.711343 \nL 258.030798 159.283796 \nL 259.651817 158.683191 \nL 261.34937 157.904309 \nL 263.113294 156.943216 \nL 264.931837 155.797614 \nL 266.791471 154.467273 \nL 268.67676 152.954491 \nL 270.570269 151.264539 \nL 272.452499 149.406162 \nL 274.301895 147.392012 \nL 276.094973 145.239033 \nL 277.806495 142.96874 \nL 279.409814 140.607334 \nL 280.877302 138.185628 \nL 282.180936 135.73872 \nL 283.293036 133.305409 \nL 284.187059 130.927306 \nL 284.838534 128.647639 \nL 285.226051 126.509875 \nL 285.33219 124.556093 \nL 285.144458 122.825314 \nL 284.656047 121.351895 \nL 283.86641 120.164052 \nL 282.781612 119.282707 \nL 281.41435 118.720715 \nL 279.7837 118.482598 \nL 277.914539 118.564712 \nL 275.836706 118.955903 \nL 273.583976 119.638511 \nL 271.192842 120.589676 \nL 268.701284 121.782729 \nL 266.147517 123.188671 \nL 263.568879 124.777487 \nL 261.000828 126.519326 \nL 258.476139 128.385443 \nL 256.024319 130.348898 \nL 253.671222 132.384981 \nL 251.438871 134.471479 \nL 249.345452 136.588706 \nL 247.405446 138.719412 \nL 245.629898 140.848619 \nL 244.026723 142.963368 \nL 242.601109 145.052454 \nL 241.355907 147.106129 \nL 240.29205 149.115826 \nL 239.408934 151.073925 \nL 238.704795 152.973504 \nL 238.177022 154.808126 \nL 237.822465 156.57166 \nL 237.637674 158.258129 \nL 237.619109 159.861539 \nL 237.7633 161.375777 \nL 238.06697 162.794482 \nL 238.527131 164.110953 \nL 239.141119 165.318038 \nL 239.906628 166.408075 \nL 240.821682 167.372777 \nL 241.884602 168.203206 \nL 243.093923 168.889706 \nL 244.448285 169.421854 \nL 245.946315 169.788472 \nL 247.586442 169.977613 \nL 249.366708 169.976651 \nL 251.284524 169.772362 \nL 253.33641 169.351081 \nL 255.517684 168.69898 \nL 257.82211 167.802377 \nL 260.241529 166.648175 \nL 262.765451 165.224472 \nL 265.380613 163.521247 \nL 268.070552 161.531218 \nL 270.815184 159.250862 \nL 273.590397 156.681548 \nL 276.367743 153.830779 \nL 279.114236 150.713455 \nL 281.792304 147.353109 \nL 284.359975 143.782966 \nL 286.771307 140.046688 \nL 288.977191 136.198665 \nL 290.926472 132.303625 \nL 292.567483 128.435466 \nL 293.849926 124.675177 \nL 294.72706 121.107894 \nL 295.158099 117.819062 \nL 295.1106 114.890121 \nL 294.562767 112.393888 \nL 293.505308 110.390253 \nL 291.942717 108.92259 \nL 289.893824 108.015335 \nL 287.39142 107.673017 \nL 284.481059 107.880942 \nL 281.218998 108.60728 \nL 277.669579 109.806379 \nL 273.902166 111.42274 \nL 269.988045 113.395297 \nL 265.997409 115.661349 \nL 261.996777 118.159949 \nL 258.046866 120.834493 \nL 254.201128 123.634431 \nL 250.504845 126.516142 \nL 246.994795 129.443141 \nL 243.699399 132.385756 \nL 240.639206 135.32047 \nL 237.827675 138.229104 \nL 235.272072 141.097898 \nL 232.974466 143.916644 \nL 230.932705 146.677883 \nL 229.141373 149.376242 \nL 227.592651 152.007848 \nL 226.277087 154.569864 \nL 225.184254 157.060154 \nL 224.303313 159.476973 \nL 223.623466 161.81877 \nL 223.134321 164.084013 \nL 222.826178 166.271076 \nL 222.690237 168.37812 \nL 222.718749 170.402998 \nL 222.90512 172.3432 \nL 223.24397 174.195736 \nL 223.731159 175.957082 \nL 224.363791 177.623074 \nL 225.140185 179.188824 \nL 226.059849 180.648612 \nL 227.123417 181.995761 \nL 228.332588 183.222506 \nL 229.690037 184.319856 \nL 231.199324 185.277424 \nL 232.864778 186.083288 \nL 234.691362 186.723801 \nL 236.684498 187.183406 \nL 238.849871 187.444486 \nL 241.193184 187.48722 \nL 243.719858 187.289462 \nL 246.434669 186.82669 \nL 249.341296 186.072057 \nL 252.441795 184.996555 \nL 255.735947 183.56937 \nL 259.220502 181.758487 \nL 262.888303 179.531593 \nL 266.727252 176.857398 \nL 270.719208 173.707412 \nL 274.838746 170.05828 \nL 279.051884 165.894692 \nL 283.314873 161.212877 \nL 287.57308 156.024602 \nL 291.760207 150.361431 \nL 295.797969 144.278936 \nL 299.596524 137.86028 \nL 303.055849 131.218442 \nL 306.068304 124.496372 \nL 308.522557 117.864087 \nL 310.30888 111.512244 \nL 311.325664 105.641795 \nL 311.486732 100.450345 \nL 310.728799 96.116356 \nL 309.018187 92.783249 \nL 306.355815 90.54589 \nL 302.779603 89.441814 \nL 298.363712 89.449034 \nL 293.214473 90.490733 \nL 287.463465 92.446074 \nL 281.258573 95.165064 \nL 274.754208 98.484565 \nL 268.101952 102.243177 \nL 261.44253 106.292832 \nL 254.899821 110.506425 \nL 248.577154 114.781289 \nL 242.555755 119.03943 \nL 236.894996 123.225343 \nL 231.633971 127.302525 \nL 226.793923 131.24952 \nL 222.381101 135.056103 \nL 218.389698 138.719897 \nL 214.804647 142.243662 \nL 211.60414 145.633212 \nL 208.761798 148.895913 \nL 206.248469 152.039649 \nL 204.03367 155.072195 \nL 202.086703 158.000812 \nL 200.377488 160.832083 \nL 198.877163 163.57184 \nL 196.396048 168.796497 \nL 194.448276 173.707829 \nL 192.87017 178.330434 \nL 189.720966 188.732732 \nL 187.910738 194.234085 \nL 186.585696 197.602856 \nL 185.093565 200.730236 \nL 183.373396 203.607455 \nL 181.361394 206.217523 \nL 180.22446 207.414102 \nL 178.987774 208.532214 \nL 177.641216 209.56588 \nL 176.173969 210.507781 \nL 174.574449 211.349049 \nL 172.830253 212.078968 \nL 170.928131 212.684678 \nL 168.853964 213.150783 \nL 166.592784 213.458953 \nL 164.128827 213.587446 \nL 161.445644 213.510577 \nL 158.526269 213.198167 \nL 155.353505 212.614948 \nL 151.910308 211.719992 \nL 148.180322 210.466179 \nL 144.148632 208.7998 \nL 139.80274 206.660401 \nL 135.133848 203.981016 \nL 130.138488 200.689 \nL 124.820568 196.707721 \nL 119.193877 191.959467 \nL 113.285057 186.369912 \nL 107.137022 179.874583 \nL 100.812723 172.427596 \nL 94.398999 164.0129 \nL 88.010185 154.657717 \nL 81.790827 144.447345 \nL 75.916723 133.539651 \nL 70.593308 122.176363 \nL 66.050216 110.687444 \nL 62.531172 99.484084 \nL 60.278647 89.036693 \nL 59.513692 79.836185 \nL 60.412747 72.341167 \nL 63.084349 66.918445 \nL 67.550037 63.789277 \nL 73.733844 62.994652 \nL 81.463446 64.390112 \nL 90.484097 67.672729 \nL 100.483149 72.43326 \nL 111.120607 78.219841 \nL 122.059981 84.597517 \nL 143.664543 97.713236 \nL 172.349679 115.199232 \nL 200.474179 132.302501 \nL 210.484342 138.662569 \nL 218.380966 143.966462 \nL 224.65113 148.435176 \nL 235.960579 156.741916 \nL 239.593975 159.042937 \nL 241.34171 159.975702 \nL 243.073126 160.759037 \nL 244.806516 161.388361 \nL 246.557264 161.858184 \nL 248.338022 162.162271 \nL 250.158834 162.293812 \nL 252.027235 162.245611 \nL 253.948304 162.010287 \nL 255.924673 161.580542 \nL 257.956499 160.949464 \nL 260.041394 160.110853 \nL 262.174346 159.059677 \nL 264.347609 157.792547 \nL 266.550579 156.308246 \nL 268.769708 154.60835 \nL 270.988404 152.697872 \nL 273.187002 150.585916 \nL 275.342815 148.286325 \nL 277.430242 145.818241 \nL 279.421048 143.206576 \nL 281.284751 140.482239 \nL 282.989192 137.682148 \nL 284.501294 134.848885 \nL 285.787987 132.02996 \nL 286.817295 129.276674 \nL 287.559562 126.642565 \nL 287.988779 124.181497 \nL 288.083844 121.945484 \nL 287.829828 119.982387 \nL 287.218997 118.333713 \nL 286.251594 117.032628 \nL 284.936241 116.102486 \nL 283.28997 115.555922 \nL 281.337775 115.394589 \nL 279.111792 115.6097 \nL 276.650085 116.183118 \nL 273.995197 117.088926 \nL 271.192508 118.295398 \nL 268.288568 119.766961 \nL 265.329494 121.466193 \nL 262.359551 123.355564 \nL 259.419972 125.398833 \nL 256.548027 127.562149 \nL 253.776439 129.814714 \nL 251.133042 132.129188 \nL 248.640725 134.481739 \nL 246.317566 136.851941 \nL 244.177142 139.222517 \nL 242.228958 141.578959 \nL 240.47895 143.909151 \nL 238.930022 146.202969 \nL 237.582581 148.451873 \nL 236.435071 150.648591 \nL 235.484449 152.786781 \nL 234.726637 154.860771 \nL 234.156895 156.865334 \nL 233.770163 158.79548 \nL 233.561335 160.646288 \nL 233.525476 162.412751 \nL 233.658002 164.089658 \nL 233.954806 165.671467 \nL 234.412353 167.1522 \nL 235.027715 168.525344 \nL 235.798601 169.783729 \nL 236.72334 170.919471 \nL 237.800829 171.923843 \nL 239.030472 172.787206 \nL 240.412063 173.498934 \nL 241.945672 174.047354 \nL 243.63146 174.419676 \nL 245.469509 174.601997 \nL 247.459559 174.579332 \nL 249.600754 174.335664 \nL 251.891305 173.8541 \nL 254.328124 173.117126 \nL 256.90641 172.106948 \nL 259.619161 170.805964 \nL 262.456658 169.19748 \nL 265.405903 167.266516 \nL 268.450023 165.000907 \nL 271.567653 162.392605 \nL 274.732379 159.439177 \nL 277.912209 156.145517 \nL 281.069209 152.525675 \nL 284.159272 148.604666 \nL 287.132243 144.420167 \nL 289.932321 140.023784 \nL 292.49899 135.481743 \nL 294.768403 130.874643 \nL 296.675362 126.296067 \nL 298.155844 121.849815 \nL 299.149994 117.645741 \nL 299.605457 113.794321 \nL 299.480791 110.4003 \nL 298.748656 107.555943 \nL 297.398472 105.334864 \nL 295.438171 103.786892 \nL 292.894795 102.934981 \nL 289.813787 102.774466 \nL 286.256975 103.274778 \nL 282.299447 104.383334 \nL 278.025567 106.031045 \nL 273.524599 108.138574 \nL 268.886359 110.622495 \nL 264.197212 113.400814 \nL 259.536805 116.397173 \nL 254.975623 119.54377 \nL 250.573478 122.78286 \nL 246.378833 126.067129 \nL 242.428865 129.359231 \nL 238.750085 132.630727 \nL 235.359377 135.860758 \nL 232.265253 139.034644 \nL 229.469232 142.142535 \nL 226.967197 145.178196 \nL 224.7507 148.138036 \nL 222.808133 151.020301 \nL 221.125766 153.824427 \nL 219.688621 156.550603 \nL 218.4812 159.199434 \nL 217.488066 161.771676 \nL 216.694302 164.268105 \nL 216.085857 166.689386 \nL 215.649792 169.03601 \nL 215.37446 171.308252 \nL 215.249611 173.506095 \nL 215.266461 175.629231 \nL 215.417704 177.676996 \nL 215.697518 179.64837 \nL 216.101534 181.541878 \nL 216.626799 183.355588 \nL 217.271731 185.086997 \nL 218.036071 186.732988 \nL 218.920822 188.289713 \nL 219.928206 189.752506 \nL 221.061601 191.11573 \nL 222.325492 192.372643 \nL 223.725412 193.515239 \nL 225.26788 194.534043 \nL 226.960327 195.4179 \nL 228.811016 196.153754 \nL 230.82893 196.726359 \nL 233.023634 197.118035 \nL 235.405114 197.308351 \nL 237.983536 197.273855 \nL 240.76897 196.987793 \nL 243.770992 196.419888 \nL 246.998237 195.536192 \nL 250.457764 194.299085 \nL 254.154316 192.667449 \nL 258.089389 190.597175 \nL 262.260091 188.042051 \nL 266.657803 184.955192 \nL 271.266609 181.291202 \nL 276.061501 177.009118 \nL 281.006454 172.07644 \nL 286.052378 166.474139 \nL 291.135175 160.202792 \nL 296.174063 153.289486 \nL 301.070486 145.795081 \nL 305.70802 137.820995 \nL 309.953674 129.514263 \nL 313.661057 121.069324 \nL 316.67585 112.724915 \nL 318.843625 104.754532 \nL 320.019989 97.449814 \nL 320.082288 91.097375 \nL 318.941771 85.951596 \nL 316.554553 82.207187 \nL 312.929537 79.976725 \nL 308.131625 79.277939 \nL 302.279298 80.033824 \nL 295.536394 82.085804 \nL 288.099327 85.217066 \nL 280.181592 89.180861 \nL 271.997894 93.728291 \nL 263.750106 98.630879 \nL 255.616502 103.695276 \nL 247.745036 108.770027 \nL 233.214618 118.549956 \nL 226.689334 123.14139 \nL 220.700278 127.501339 \nL 215.251757 131.627292 \nL 210.331374 135.527015 \nL 205.914346 139.214105 \nL 201.967265 142.704782 \nL 198.451213 146.015726 \nL 195.324252 149.162766 \nL 192.543342 152.16013 \nL 190.065758 155.020129 \nL 185.856982 160.367352 \nL 182.393058 165.264789 \nL 175.360171 175.720098 \nL 172.684211 179.191387 \nL 171.2974 180.765346 \nL 169.856369 182.225269 \nL 168.346183 183.565028 \nL 166.752754 184.777188 \nL 165.062696 185.852894 \nL 163.263226 186.781716 \nL 161.342081 187.551479 \nL 159.287508 188.1481 \nL 157.088272 188.5554 \nL 154.733745 188.754929 \nL 152.214035 188.725826 \nL 149.520217 188.444711 \nL 146.64463 187.88564 \nL 143.581284 187.020157 \nL 140.326366 185.817508 \nL 136.878892 184.245065 \nL 133.241481 182.269 \nL 129.421283 179.85534 \nL 125.431034 176.971458 \nL 121.290275 173.588089 \nL 117.026626 169.681955 \nL 112.677148 165.239049 \nL 108.289607 160.258528 \nL 103.923598 154.757107 \nL 99.651304 148.773704 \nL 95.557648 142.3739 \nL 91.739618 135.653506 \nL 88.304519 128.740541 \nL 85.366819 121.794539 \nL 83.043562 115.002445 \nL 81.448265 108.570396 \nL 80.683623 102.711356 \nL 80.833511 97.629453 \nL 81.95509 93.502486 \nL 84.072088 90.465241 \nL 87.170242 88.59634 \nL 91.195852 87.911109 \nL 96.057855 88.362003 \nL 101.633426 89.846491 \nL 107.776369 92.220831 \nL 114.327237 95.317184 \nL 121.123849 98.960867 \nL 128.010842 102.9852 \nL 134.847441 107.242319 \nL 141.512829 111.609344 \nL 147.909043 115.990367 \nL 153.961705 120.31527 \nL 159.618995 124.536492 \nL 164.849456 128.624828 \nL 169.639104 132.565072 \nL 173.988286 136.352063 \nL 177.908581 139.987376 \nL 181.419948 143.476699 \nL 184.548223 146.827951 \nL 187.32302 150.049936 \nL 189.776029 153.151483 \nL 191.939672 156.140928 \nL 193.846093 159.02584 \nL 195.526423 161.812912 \nL 198.325415 167.116005 \nL 200.55053 172.087347 \nL 202.383155 176.753606 \nL 207.652296 190.898385 \nL 209.246387 194.338609 \nL 211.027589 197.504947 \nL 213.068783 200.381473 \nL 214.210033 201.703138 \nL 215.444601 202.941143 \nL 216.78266 204.089738 \nL 218.234886 205.141898 \nL 219.812538 206.089124 \nL 221.527504 206.921188 \nL 223.392349 207.625849 \nL 225.420324 208.18853 \nL 227.625345 208.591956 \nL 230.021946 208.815726 \nL 232.625165 208.83588 \nL 235.450373 208.624418 \nL 238.513017 208.148819 \nL 241.828235 207.371563 \nL 245.410364 206.249734 \nL 249.27225 204.734742 \nL 253.424341 202.772271 \nL 257.873544 200.302586 \nL 262.621764 197.261377 \nL 267.664075 193.581341 \nL 272.986572 189.194806 \nL 278.563776 184.03766 \nL 284.355694 178.054921 \nL 290.304658 171.208198 \nL 296.33208 163.485102 \nL 302.335479 154.910419 \nL 308.186243 145.55831 \nL 313.728829 135.56424 \nL 318.782122 125.13439 \nL 323.143896 114.549558 \nL 326.599108 104.160322 \nL 328.932391 94.370388 \nL 329.944537 85.606622 \nL 329.471739 78.277433 \nL 327.405215 72.724627 \nL 323.708109 69.177566 \nL 318.426104 67.720274 \nL 311.688938 68.280188 \nL 303.70161 70.642386 \nL 294.726263 74.486092 \nL 285.057856 79.434198 \nL 274.997962 85.103892 \nL 264.831094 91.148037 \nL 245.127878 103.291552 \nL 219.459787 119.441749 \nL 205.700934 128.312244 \nL 194.571 135.80876 \nL 185.72367 142.186035 \nL 178.71888 147.673008 \nL 173.112657 152.436511 \nL 160.951081 163.199645 \nL 157.499592 165.677334 \nL 155.768874 166.696512 \nL 154.009598 167.561118 \nL 152.205898 168.263557 \nL 150.344165 168.795109 \nL 148.412945 169.146018 \nL 146.402884 169.305563 \nL 144.306721 169.26219 \nL 142.119337 169.003672 \nL 139.837863 168.517357 \nL 137.461833 167.790457 \nL 134.993394 166.810445 \nL 132.437571 165.565598 \nL 129.802561 164.045604 \nL 127.100061 162.242375 \nL 124.345621 160.150956 \nL 121.558947 157.770588 \nL 118.764213 155.105861 \nL 115.990252 152.167989 \nL 113.270621 148.976001 \nL 110.643535 145.557918 \nL 108.151491 141.951622 \nL 105.840674 138.205391 \nL 103.75998 134.377871 \nL 101.959707 130.537349 \nL 100.489866 126.760185 \nL 99.398169 123.128371 \nL 98.727779 119.726219 \nL 98.514924 116.63638 \nL 98.786579 113.935457 \nL 99.558394 111.689568 \nL 100.833125 109.950479 \nL 102.599683 108.752504 \nL 104.833014 108.110884 \nL 107.494831 108.021499 \nL 110.53521 108.462193 \nL 113.894841 109.395401 \nL 117.507811 110.771703 \nL 121.304666 112.533901 \nL 125.215386 114.621012 \nL 129.172209 116.971953 \nL 133.111938 119.528538 \nL 136.977748 122.237574 \nL 140.720383 125.052199 \nL 144.298789 127.932454 \nL 147.68023 130.845243 \nL 150.839999 133.763881 \nL 153.760805 136.667372 \nL 156.431951 139.539563 \nL 158.848417 142.368254 \nL 161.009881 145.144419 \nL 162.919765 147.861434 \nL 164.584347 150.514479 \nL 166.01194 153.100021 \nL 167.21219 155.615404 \nL 168.195464 158.058532 \nL 168.972344 160.42761 \nL 169.553215 162.720951 \nL 169.947946 164.936852 \nL 170.165632 167.07345 \nL 170.214421 169.128631 \nL 170.101375 171.099936 \nL 169.832396 172.984479 \nL 169.412177 174.778869 \nL 168.844188 176.479132 \nL 168.130685 178.080593 \nL 167.272736 179.577801 \nL 166.270274 180.964381 \nL 165.122152 182.232941 \nL 163.826224 183.374924 \nL 162.37943 184.380454 \nL 160.777918 185.238189 \nL 159.017155 185.935127 \nL 157.092102 186.456471 \nL 154.9974 186.785454 \nL 152.727596 186.903176 \nL 150.277422 186.78852 \nL 147.64215 186.418053 \nL 144.817993 185.766071 \nL 141.802612 184.804715 \nL 138.59572 183.504285 \nL 135.19979 181.833755 \nL 131.620883 179.761561 \nL 127.869599 177.256797 \nL 123.962158 174.290784 \nL 119.921557 170.839205 \nL 115.778801 166.884785 \nL 111.574111 162.420508 \nL 107.358044 157.453363 \nL 103.192336 152.008427 \nL 99.150369 146.132997 \nL 95.316968 139.900247 \nL 91.787374 133.411883 \nL 88.665061 126.7989 \nL 86.058362 120.219763 \nL 84.075708 113.855251 \nL 82.819641 107.899588 \nL 82.379904 102.548218 \nL 82.826183 97.983044 \nL 84.201278 94.356815 \nL 86.515647 91.779149 \nL 89.744167 90.306309 \nL 93.82586 89.936813 \nL 98.666747 90.613785 \nL 104.145721 92.233467 \nL 110.122638 94.65845 \nL 116.447628 97.733006 \nL 122.970428 101.298032 \nL 129.548735 105.203536 \nL 136.054724 109.317425 \nL 142.379497 113.530354 \nL 148.435321 117.757025 \nL 154.15601 121.934875 \nL 159.495832 126.021133 \nL 164.427423 129.989143 \nL 168.939157 133.824538 \nL 173.032281 137.521871 \nL 176.718137 141.081695 \nL 180.015592 144.508317 \nL 182.94879 147.808142 \nL 185.545256 150.988499 \nL 187.834351 154.056873 \nL 189.84606 157.020426 \nL 191.610064 159.885746 \nL 193.155072 162.658761 \nL 194.508346 165.34468 \nL 196.739884 170.472894 \nL 198.485697 175.30017 \nL 199.896065 179.849091 \nL 202.700882 190.107676 \nL 204.310111 195.552182 \nL 205.488041 198.89807 \nL 206.815121 202.017528 \nL 208.346181 204.905586 \nL 210.138854 207.55061 \nL 211.152805 208.775942 \nL 212.256534 209.931843 \nL 213.45931 211.013718 \nL 214.771092 212.015893 \nL 216.202597 212.931403 \nL 217.765366 213.751767 \nL 219.471819 214.466718 \nL 221.335298 215.063883 \nL 223.370088 215.528401 \nL 225.59142 215.842514 \nL 228.015429 215.985068 \nL 230.659072 215.930976 \nL 233.539969 215.650627 \nL 236.676176 215.109253 \nL 240.085817 214.266282 \nL 243.786593 213.074719 \nL 247.795092 211.480636 \nL 252.125849 209.422845 \nL 256.790119 206.832939 \nL 261.79429 203.635859 \nL 267.137873 199.751305 \nL 272.810992 195.096286 \nL 278.791386 189.589257 \nL 285.040869 183.156272 \nL 291.501379 175.739562 \nL 298.090774 167.30885 \nL 304.698735 157.875274 \nL 311.183381 147.50729 \nL 317.369359 136.347005 \nL 323.048497 124.624149 \nL 327.984213 112.663781 \nL 331.920876 100.882848 \nL 334.598793 89.770985 \nL 335.774763 79.85289 \nL 335.24683 71.633492 \nL 332.879969 65.533083 \nL 328.628532 61.825064 \nL 322.550355 60.591789 \nL 314.808412 61.711583 \nL 305.658389 64.882132 \nL 295.423803 69.674371 \nL 284.463328 75.602276 \nL 273.136726 82.190686 \nL 250.660998 95.788428 \nL 229.997153 108.279387 \nL 204.478627 123.340195 \nL 185.78914 134.33569 \nL 176.522441 139.984677 \nL 169.222618 144.640718 \nL 154.572783 154.307285 \nL 150.933152 156.334573 \nL 149.203148 157.133039 \nL 147.503587 157.785361 \nL 145.81658 158.288279 \nL 144.127319 158.637791 \nL 142.423879 158.829368 \nL 140.697067 158.85813 \nL 138.940288 158.719096 \nL 137.149484 158.407397 \nL 135.323063 157.918545 \nL 133.461888 157.248725 \nL 131.569271 156.395137 \nL 129.650996 155.356384 \nL 127.715339 154.132865 \nL 125.773079 152.72723 \nL 123.837514 151.144817 \nL 121.924408 149.394148 \nL 120.051908 147.487323 \nL 118.240417 145.440418 \nL 116.512325 143.273773 \nL 114.891686 141.012114 \nL 113.40378 138.684519 \nL 112.074522 136.324186 \nL 110.929801 133.96788 \nL 109.994663 131.655177 \nL 109.292455 129.427415 \nL 108.843884 127.3264 \nL 108.666095 125.392933 \nL 108.771779 123.665262 \nL 109.168419 122.177538 \nL 109.85767 120.958397 \nL 110.834994 120.029804 \nL 112.089543 119.406235 \nL 113.604362 119.094289 \nL 115.35681 119.092756 \nL 117.31932 119.393089 \nL 119.460318 119.980267 \nL 121.745313 120.833948 \nL 124.138072 121.929758 \nL 126.601782 123.240626 \nL 129.100156 124.738107 \nL 131.598424 126.393533 \nL 134.064131 128.178941 \nL 136.46777 130.067834 \nL 138.783194 132.035674 \nL 140.987868 134.06016 \nL 143.062911 136.121362 \nL 144.993023 138.20167 \nL 146.766283 140.285673 \nL 148.37386 142.359944 \nL 149.809663 144.41281 \nL 151.069978 146.43407 \nL 152.153068 148.414741 \nL 153.058814 150.34682 \nL 153.788341 152.223043 \nL 154.343712 154.036694 \nL 154.727619 155.781394 \nL 154.943154 157.45097 \nL 154.993578 159.039284 \nL 154.882168 160.540103 \nL 154.61208 161.947007 \nL 154.186256 163.253261 \nL 153.607368 164.451738 \nL 152.877791 165.534826 \nL 151.99962 166.494361 \nL 150.974692 167.321562 \nL 149.804665 168.006981 \nL 148.491119 168.540466 \nL 147.035672 168.911171 \nL 145.440152 169.107549 \nL 143.706778 169.117435 \nL 141.838392 168.92814 \nL 139.83871 168.526613 \nL 137.712623 167.899681 \nL 135.466519 167.034385 \nL 133.108652 165.918405 \nL 130.64951 164.540612 \nL 128.102249 162.891743 \nL 125.483064 160.965216 \nL 122.811622 158.758093 \nL 120.111399 156.272136 \nL 117.409991 153.514959 \nL 114.739262 150.501213 \nL 112.13541 147.253719 \nL 109.638758 143.804457 \nL 107.293331 140.195232 \nL 105.146103 136.477898 \nL 103.245945 132.714025 \nL 101.64217 128.973787 \nL 100.382771 125.334046 \nL 99.512391 121.875597 \nL 99.070074 118.679658 \nL 99.087023 115.823874 \nL 99.584474 113.378046 \nL 100.571922 111.400091 \nL 102.045899 109.932717 \nL 103.989427 109.000991 \nL 106.372273 108.611419 \nL 109.152047 108.752334 \nL 112.27603 109.395775 \nL 115.683584 110.500329 \nL 119.308972 112.014839 \nL 123.084264 113.882259 \nL 126.942165 116.043378 \nL 130.818495 118.440068 \nL 134.654264 121.017802 \nL 138.397119 123.727384 \nL 142.002299 126.525916 \nL 145.433036 129.377111 \nL 148.660494 132.251099 \nL 151.663378 135.123887 \nL 154.427255 137.976648 \nL 156.943732 140.794883 \nL 159.209539 143.567626 \nL 161.225605 146.286667 \nL 162.996147 148.945927 \nL 164.527855 151.540878 \nL 165.829124 154.068087 \nL 166.909429 156.524864 \nL 167.778754 158.908978 \nL 168.447144 161.218412 \nL 168.924335 163.451206 \nL 169.21947 165.605326 \nL 169.340878 167.678525 \nL 169.295917 169.668272 \nL 169.090861 171.57164 \nL 168.730841 173.385231 \nL 168.219805 175.105094 \nL 167.560524 176.726615 \nL 166.754596 178.244429 \nL 165.802499 179.652303 \nL 164.703632 180.943018 \nL 163.456403 182.108246 \nL 162.058307 183.138383 \nL 160.506031 184.022436 \nL 158.795586 184.747838 \nL 156.92246 185.300302 \nL 154.881807 185.66365 \nL 152.668667 185.819704 \nL 150.278238 185.748165 \nL 147.706214 185.426547 \nL 144.949172 184.830199 \nL 142.005058 183.932463 \nL 138.873762 182.704926 \nL 135.557797 181.117923 \nL 132.063071 179.141296 \nL 128.399809 176.745475 \nL 124.583554 173.902982 \nL 120.636265 170.59042 \nL 116.587489 166.790938 \nL 112.475504 162.497257 \nL 108.348361 157.715167 \nL 104.264725 152.467342 \nL 100.294332 146.797205 \nL 96.517841 140.772448 \nL 93.025931 134.48758 \nL 89.917364 128.064906 \nL 87.295887 121.653044 \nL 85.265894 115.422517 \nL 83.926883 109.557858 \nL 83.367042 104.246556 \nL 83.656389 99.665443 \nL 84.84026 95.966177 \nL 86.933888 93.261662 \nL 89.918988 91.615807 \nL 93.743 91.03837 \nL 98.321256 91.485858 \nL 103.542024 92.86853 \nL 109.273799 95.061885 \nL 115.373918 97.920785 \nL 121.697458 101.293656 \nL 128.105338 105.034813 \nL 134.470972 109.013542 \nL 140.684911 113.119546 \nL 146.657476 117.265023 \nL 152.319544 121.38402 \nL 157.621859 125.430065 \nL 162.533284 129.372896 \nL 167.038418 133.194916 \nL 171.134943 136.887898 \nL 174.830952 140.450148 \nL 178.142441 143.884212 \nL 181.091076 147.195139 \nL 183.702291 150.389256 \nL 186.003712 153.473331 \nL 188.023902 156.454023 \nL 189.79139 159.33759 \nL 191.333951 162.129737 \nL 192.678094 164.835555 \nL 194.868938 170.005685 \nL 196.540988 174.877851 \nL 197.841201 179.47527 \nL 199.347687 185.895603 \nL 202.184906 198.883017 \nL 203.074727 202.122618 \nL 204.081193 205.162805 \nL 205.246375 208.004421 \nL 206.615025 210.644192 \nL 208.237015 213.073242 \nL 210.169675 215.274898 \nL 211.273035 216.282374 \nL 212.480126 217.22158 \nL 213.801252 218.086628 \nL 215.247619 218.870279 \nL 216.831401 219.563688 \nL 218.565804 220.156115 \nL 220.465106 220.634558 \nL 222.544698 220.983338 \nL 224.821086 221.18362 \nL 227.311863 221.212851 \nL 230.035631 221.044144 \nL 233.011843 220.645575 \nL 236.260572 219.979443 \nL 239.802139 219.001474 \nL 243.65658 217.660068 \nL 247.842902 215.895611 \nL 252.378058 213.640023 \nL 257.275593 210.816658 \nL 262.54386 207.340838 \nL 268.183742 203.121319 \nL 274.185783 198.063129 \nL 280.526719 192.072289 \nL 287.165336 185.06296 \nL 294.037794 176.96761 \nL 301.052657 167.750541 \nL 308.085956 157.424737 \nL 314.977109 146.071215 \nL 321.526634 133.858852 \nL 327.497024 121.061192 \nL 332.618294 108.064957 \nL 336.599633 95.364082 \nL 339.148124 83.533271 \nL 339.994185 73.178212 \nL 338.921607 64.865051 \nL 335.798185 59.039849 \nL 330.600878 55.955705 \nL 323.42938 55.627692 \nL 314.503437 57.830567 \nL 304.14294 62.142026 \nL 292.734001 68.019422 \nL 280.688151 74.888164 \nL 256.229686 89.579885 \nL 233.2942 103.248656 \nL 222.888912 109.253753 \nL 204.620365 119.422089 \nL 189.763726 127.36337 \nL 151.198458 147.536886 \nL 147.326204 149.332997 \nL 143.946137 150.602247 \nL 140.866594 151.36278 \nL 139.395675 151.554041 \nL 137.953701 151.619314 \nL 136.53153 151.55846 \nL 135.122633 151.371456 \nL 133.722906 151.058624 \nL 132.330498 150.620834 \nL 130.945689 150.059702 \nL 128.209739 148.57885 \nL 125.554631 146.65159 \nL 123.045403 144.33761 \nL 120.767443 141.724975 \nL 118.819833 138.9315 \nL 117.306607 136.101889 \nL 116.744132 134.72425 \nL 116.325975 133.399724 \nL 116.061515 132.149538 \nL 115.958252 130.994204 \nL 116.02147 129.952965 \nL 116.253953 129.043223 \nL 116.655754 128.280042 \nL 117.224081 127.675699 \nL 117.95324 127.239356 \nL 118.834717 126.976862 \nL 119.857315 126.890686 \nL 121.007433 126.979995 \nL 122.269367 127.240829 \nL 123.625737 127.666418 \nL 125.057916 128.247567 \nL 128.07176 129.83027 \nL 131.154453 131.883843 \nL 134.15753 134.292641 \nL 136.950576 136.941667 \nL 139.427182 139.72392 \nL 141.506916 142.543858 \nL 143.134102 145.317903 \nL 144.274539 147.973034 \nL 144.911248 150.444388 \nL 145.039049 151.592467 \nL 145.040214 152.672652 \nL 144.915665 153.677995 \nL 144.666739 154.601623 \nL 144.295123 155.436693 \nL 143.80283 156.176331 \nL 143.192177 156.813651 \nL 142.465803 157.341721 \nL 141.626687 157.753593 \nL 140.678198 158.042312 \nL 139.624166 158.200988 \nL 138.468966 158.222862 \nL 137.217612 158.101437 \nL 135.875876 157.830581 \nL 134.450414 157.404728 \nL 132.948912 156.819074 \nL 131.380211 156.069849 \nL 129.754455 155.154581 \nL 128.083236 154.072438 \nL 126.37969 152.82456 \nL 124.658612 151.414454 \nL 122.936493 149.848363 \nL 121.231544 148.135644 \nL 119.563626 146.289093 \nL 117.954136 144.325196 \nL 116.425791 142.264301 \nL 115.002295 140.130641 \nL 113.707944 137.952186 \nL 112.567093 135.760295 \nL 111.603523 133.589163 \nL 110.839745 131.475002 \nL 110.296245 129.455078 \nL 109.99067 127.5665 \nL 109.93707 125.844934 \nL 110.145173 124.32328 \nL 110.619816 123.030386 \nL 111.360475 121.989913 \nL 112.361077 121.219451 \nL 113.609971 120.729935 \nL 115.090203 120.525442 \nL 116.779973 120.603316 \nL 118.653338 120.954693 \nL 120.681054 121.565268 \nL 122.831546 122.416285 \nL 125.071935 123.485657 \nL 127.369013 124.749083 \nL 129.690191 126.181147 \nL 132.004324 127.756238 \nL 134.282378 129.449382 \nL 138.627632 133.096352 \nL 142.551483 136.952795 \nL 144.314709 138.915092 \nL 145.929884 140.880207 \nL 147.38878 142.835369 \nL 148.685583 144.769304 \nL 149.816578 146.672008 \nL 150.779814 148.534532 \nL 151.574791 150.34877 \nL 152.202141 152.107272 \nL 152.663361 153.803047 \nL 152.960549 155.429413 \nL 153.096198 156.979846 \nL 153.073018 158.447841 \nL 152.893787 159.8268 \nL 152.561241 161.109945 \nL 152.07801 162.290193 \nL 151.446561 163.360109 \nL 150.669197 164.311819 \nL 149.748078 165.136952 \nL 148.685264 165.82661 \nL 147.482805 166.371326 \nL 146.142834 166.761078 \nL 144.667718 166.985316 \nL 143.060213 167.032997 \nL 141.32367 166.892721 \nL 139.462259 166.552864 \nL 137.481229 166.001822 \nL 135.387188 165.228278 \nL 133.188415 164.221633 \nL 130.895207 162.972435 \nL 128.520209 161.473021 \nL 126.07876 159.718189 \nL 123.589244 157.706023 \nL 121.07336 155.438779 \nL 118.556375 152.923873 \nL 116.067253 150.174835 \nL 113.638654 147.212254 \nL 111.306775 144.064566 \nL 109.110963 140.768616 \nL 107.093068 137.369828 \nL 105.296545 133.921927 \nL 103.76524 130.48605 \nL 102.541923 127.129203 \nL 101.66658 123.922042 \nL 101.17454 120.936063 \nL 101.094572 118.240309 \nL 101.447091 115.897899 \nL 102.242603 113.962619 \nL 103.480575 112.475985 \nL 105.148865 111.465074 \nL 107.223746 110.941363 \nL 109.670659 110.900715 \nL 112.445569 111.324448 \nL 115.496862 112.181485 \nL 118.76759 113.431092 \nL 122.197922 115.025979 \nL 125.727562 116.915468 \nL 129.297998 119.048362 \nL 132.85437 121.375284 \nL 136.346974 123.850452 \nL 139.732274 126.432844 \nL 142.973466 129.086749 \nL 146.040645 131.78189 \nL 148.910631 134.493166 \nL 151.566533 137.200184 \nL 153.997128 139.88664 \nL 156.196117 142.53966 \nL 158.161359 145.149179 \nL 159.894085 147.707338 \nL 161.398141 150.207948 \nL 162.679313 152.64607 \nL 163.744692 155.017651 \nL 164.602161 157.3192 \nL 165.259929 159.547567 \nL 165.726164 161.699737 \nL 166.008689 163.77268 \nL 166.114751 165.763211 \nL 166.050839 167.667873 \nL 165.822565 169.482835 \nL 165.434579 171.203788 \nL 164.890525 172.825853 \nL 164.19302 174.343471 \nL 163.34368 175.750316 \nL 162.343142 177.039149 \nL 161.191138 178.201729 \nL 159.886567 179.228698 \nL 158.427599 180.10943 \nL 156.811802 180.831912 \nL 155.036299 181.382622 \nL 153.097952 181.74643 \nL 150.993588 181.906486 \nL 148.720269 181.844185 \nL 146.275614 181.539162 \nL 143.658171 180.969362 \nL 140.86788 180.111252 \nL 137.906601 178.940115 \nL 134.778729 177.430612 \nL 131.49189 175.557496 \nL 128.057733 173.296697 \nL 124.492807 170.626674 \nL 120.819473 167.530202 \nL 117.066823 163.996518 \nL 113.271623 160.023894 \nL 109.479057 155.622488 \nL 105.743294 150.8174 \nL 102.12769 145.651663 \nL 98.704462 140.188778 \nL 95.553709 134.514435 \nL 92.761601 128.736811 \nL 90.417623 122.984952 \nL 88.610883 117.404814 \nL 87.425517 112.152689 \nL 86.935459 107.386317 \nL 87.19897 103.254173 \nL 88.253476 99.884198 \nL 90.11135 97.373268 \nL 92.757229 95.779199 \nL 96.147379 95.116531 \nL 100.211335 95.356726 \nL 104.855761 96.432994 \nL 109.970079 98.248679 \nL 115.43325 100.687763 \nL 121.120866 103.625917 \nL 126.911843 106.940412 \nL 132.694053 110.517954 \nL 138.368501 114.259792 \nL 143.851983 118.08434 \nL 149.0782 121.927484 \nL 153.997663 125.741406 \nL 158.576606 129.492423 \nL 162.795281 133.15838 \nL 166.645913 136.726096 \nL 170.130525 140.188999 \nL 173.25883 143.545139 \nL 176.046288 146.795621 \nL 178.512393 149.943411 \nL 180.679217 152.992474 \nL 182.570211 155.947214 \nL 184.209249 158.812058 \nL 185.619892 161.591254 \nL 186.82484 164.288753 \nL 187.845541 166.908149 \nL 188.701928 169.452702 \nL 189.993111 174.328614 \nL 190.823686 178.936463 \nL 191.291817 183.292589 \nL 191.470883 187.410675 \nL 191.412697 191.302317 \nL 191.150809 194.977406 \nL 190.703429 198.444136 \nL 190.075761 201.708868 \nL 189.261681 204.775752 \nL 188.24474 207.646096 \nL 186.998553 210.317431 \nL 185.486618 212.782126 \nL 183.661613 215.025402 \nL 182.613693 216.056739 \nL 181.464266 217.022404 \nL 180.203808 217.917041 \nL 178.821844 218.734042 \nL 177.306898 219.465324 \nL 175.646433 220.101043 \nL 173.826815 220.629257 \nL 171.83327 221.035553 \nL 169.649874 221.302572 \nL 167.259573 221.409506 \nL 164.644233 221.331487 \nL 161.784766 221.038933 \nL 158.661326 220.496801 \nL 155.253609 219.663827 \nL 151.541319 218.491723 \nL 147.504805 216.924462 \nL 143.125954 214.897672 \nL 138.389381 212.338358 \nL 133.284023 209.165102 \nL 127.805182 205.289046 \nL 121.957128 200.616052 \nL 115.756304 195.050499 \nL 109.235181 188.501282 \nL 102.446714 180.890543 \nL 95.469278 172.165732 \nL 88.411691 162.315047 \nL 81.417845 151.385914 \nL 74.669977 139.505097 \nL 68.389435 126.897566 \nL 62.833453 113.899628 \nL 58.286414 100.960364 \nL 55.0443 88.625102 \nL 53.392071 77.49604 \nL 53.575142 68.169874 \nL 55.768146 61.159468 \nL 60.046376 56.814394 \nL 66.366128 55.260495 \nL 74.559557 56.37702 \nL 84.34712 59.820118 \nL 95.366023 65.087365 \nL 107.209203 71.604543 \nL 119.466709 78.811089 \nL 155.260429 100.314317 \nL 166.042355 106.597038 \nL 176.013413 112.263378 \nL 193.360587 121.773695 \nL 213.202406 132.207897 \nL 243.537295 147.902704 \nL 247.243016 149.527034 \nL 250.510841 150.634551 \nL 253.51519 151.239864 \nL 254.957729 151.355577 \nL 256.375274 151.346747 \nL 257.77548 151.213444 \nL 259.163508 150.955991 \nL 260.5422 150.575145 \nL 261.912232 150.072338 \nL 263.272268 149.449842 \nL 265.947687 147.860336 \nL 268.522333 145.849131 \nL 270.9265 143.483664 \nL 273.072408 140.85956 \nL 274.861432 138.10073 \nL 276.193256 135.355047 \nL 276.658586 134.037699 \nL 276.976859 132.784976 \nL 277.140083 131.617143 \nL 277.142306 130.55345 \nL 276.97991 129.611567 \nL 276.651816 128.807082 \nL 276.159685 128.153056 \nL 275.507974 127.659666 \nL 274.703901 127.333943 \nL 273.757355 127.179669 \nL 272.680671 127.197388 \nL 271.488345 127.384537 \nL 270.196665 127.735692 \nL 268.823316 128.242927 \nL 265.906625 129.683753 \nL 262.890747 131.609028 \nL 259.923073 133.907521 \nL 257.135435 136.466191 \nL 254.637441 139.178157 \nL 252.513688 141.946922 \nL 250.82429 144.68748 \nL 249.607634 147.325335 \nL 248.884277 149.794441 \nL 248.710162 150.946769 \nL 248.661089 152.03472 \nL 248.736382 153.051318 \nL 248.93491 153.989711 \nL 249.255164 154.843069 \nL 249.695284 155.604607 \nL 250.253083 156.267504 \nL 250.926054 156.824941 \nL 251.711334 157.27008 \nL 252.605687 157.596083 \nL 253.605431 157.796191 \nL 254.706366 157.863762 \nL 255.90369 157.792377 \nL 257.191886 157.575963 \nL 258.564601 157.208971 \nL 260.01453 156.686538 \nL 261.533269 156.004747 \nL 263.111184 155.160873 \nL 264.737289 154.1537 \nL 266.399127 152.983841 \nL 268.082665 151.654104 \nL 269.772245 150.169837 \nL 271.450554 148.539291 \nL 273.098654 146.773961 \nL 274.696114 144.888831 \nL 276.221165 142.902574 \nL 277.650991 140.837601 \nL 278.962101 138.719982 \nL 280.130792 136.57917 \nL 281.133732 134.44752 \nL 281.948605 132.359591 \nL 282.554844 130.351256 \nL 282.934369 128.458642 \nL 283.072356 126.716888 \nL 282.957921 125.15892 \nL 282.584742 123.814155 \nL 281.951543 122.707413 \nL 281.06234 121.857938 \nL 279.926567 121.278755 \nL 278.558873 120.976328 \nL 276.978779 120.950589 \nL 275.210066 121.195262 \nL 273.280011 121.698529 \nL 271.218504 122.443898 \nL 269.057089 123.411231 \nL 266.828002 124.577813 \nL 264.563219 125.919402 \nL 262.293646 127.411196 \nL 260.048408 129.028663 \nL 255.735324 132.547481 \nL 251.803967 136.305207 \nL 248.385908 140.159795 \nL 246.897631 142.086943 \nL 245.566369 143.997779 \nL 244.396714 145.881827 \nL 243.391414 147.729723 \nL 242.551668 149.533003 \nL 241.877437 151.28391 \nL 241.367728 152.975207 \nL 241.020841 154.600023 \nL 240.834589 156.151699 \nL 240.806487 157.623645 \nL 240.933905 159.009228 \nL 241.214186 160.301688 \nL 241.644731 161.49401 \nL 242.223046 162.57886 \nL 242.946775 163.548519 \nL 243.813674 164.39481 \nL 244.821586 165.109067 \nL 245.968364 165.68211 \nL 247.251771 166.104226 \nL 248.669369 166.365213 \nL 250.218348 166.454411 \nL 251.895351 166.360811 \nL 253.696254 166.07319 \nL 255.615933 165.580336 \nL 257.647987 164.871299 \nL 259.784441 163.935758 \nL 262.015441 162.764477 \nL 264.328915 161.34985 \nL 266.710235 159.686558 \nL 269.141931 157.772317 \nL 271.603357 155.608728 \nL 274.070498 153.202204 \nL 276.515802 150.564851 \nL 278.908181 147.71541 \nL 281.213123 144.680012 \nL 283.393027 141.49275 \nL 285.407779 138.195905 \nL 287.215566 134.839792 \nL 288.773968 131.481992 \nL 290.041329 128.18605 \nL 290.978342 125.019495 \nL 291.549796 122.05126 \nL 291.726378 119.348677 \nL 291.486434 116.974184 \nL 290.817509 114.982112 \nL 289.717515 113.415697 \nL 288.195425 112.304877 \nL 286.271374 111.66491 \nL 283.976124 111.496033 \nL 281.349919 111.7843 \nL 278.44081 112.503231 \nL 275.302588 113.616299 \nL 271.99249 115.079808 \nL 268.568868 116.845905 \nL 265.089019 118.865325 \nL 261.607234 121.089852 \nL 258.173297 123.474128 \nL 254.831355 125.976977 \nL 251.619244 128.562094 \nL 248.568206 131.198314 \nL 245.702952 133.85949 \nL 243.042007 136.524124 \nL 240.598235 139.17481 \nL 238.379524 141.797654 \nL 236.389492 144.381647 \nL 234.628259 146.918094 \nL 233.093163 149.400108 \nL 231.779449 151.822129 \nL 230.680886 154.179585 \nL 229.790294 156.468541 \nL 229.100018 158.685489 \nL 228.602317 160.827102 \nL 228.289672 162.890091 \nL 228.155036 164.871043 \nL 228.192024 166.766306 \nL 228.395056 168.571876 \nL 228.759438 170.28331 \nL 229.281435 171.895592 \nL 229.958273 173.403069 \nL 230.788145 174.799313 \nL 231.770178 176.077034 \nL 232.904376 177.227958 \nL 234.191528 178.242709 \nL 235.63313 179.110695 \nL 237.231239 179.819971 \nL 238.988321 180.357152 \nL 240.907066 180.707285 \nL 242.990171 180.853803 \nL 245.240047 180.778467 \nL 247.658521 180.461403 \nL 250.24645 179.881173 \nL 253.003261 179.015018 \nL 255.926449 177.839181 \nL 259.010956 176.329464 \nL 262.248501 174.461985 \nL 265.626803 172.214231 \nL 269.12877 169.566422 \nL 272.731608 166.503241 \nL 276.405944 163.015944 \nL 280.114997 159.104804 \nL 283.813879 154.781824 \nL 287.449135 150.073615 \nL 290.9586 145.024109 \nL 294.271825 139.696869 \nL 297.311103 134.176511 \nL 299.9933 128.568777 \nL 302.232551 122.998754 \nL 303.943868 117.606881 \nL 305.04752 112.54262 \nL 305.474004 107.955937 \nL 305.169166 103.987239 \nL 304.098978 100.75685 \nL 302.253431 98.355383 \nL 299.648887 96.836445 \nL 296.328588 96.212843 \nL 292.36095 96.457056 \nL 287.835923 97.505703 \nL 282.859622 99.267389 \nL 277.547994 101.632516 \nL 272.020118 104.483447 \nL 266.391962 107.703789 \nL 260.771101 111.185645 \nL 255.25272 114.834522 \nL 249.917122 118.571805 \nL 244.828606 122.335236 \nL 240.035518 126.077874 \nL 235.571214 129.766156 \nL 231.455628 133.377552 \nL 227.697186 136.898183 \nL 224.294846 140.320608 \nL 221.240091 143.641974 \nL 218.518776 146.862494 \nL 216.112777 149.984314 \nL 214.001386 153.01067 \nL 212.162482 155.945315 \nL 210.573454 158.792134 \nL 209.211933 161.554905 \nL 208.056335 164.237189 \nL 207.086254 166.842238 \nL 206.282723 169.372989 \nL 205.628384 171.832099 \nL 204.706312 176.5446 \nL 204.215029 180.995859 \nL 204.075478 185.198835 \nL 204.23204 189.163847 \nL 204.64958 192.898814 \nL 205.310677 196.40913 \nL 206.213346 199.697217 \nL 207.369402 202.761704 \nL 208.803511 205.596202 \nL 210.552875 208.187466 \nL 211.56089 209.385253 \nL 212.66751 210.512788 \nL 213.881109 211.565139 \nL 215.210972 212.536236 \nL 216.667335 213.418663 \nL 218.261409 214.203411 \nL 220.005419 214.879582 \nL 221.912621 215.434069 \nL 223.997292 215.851156 \nL 226.274724 216.112071 \nL 228.761146 216.194491 \nL 231.473616 216.071972 \nL 234.429848 215.71334 \nL 237.647916 215.082049 \nL 241.145879 214.135529 \nL 244.941205 212.824588 \nL 249.05001 211.092941 \nL 253.486044 208.876958 \nL 258.259353 206.105843 \nL 263.374551 202.702414 \nL 268.828667 198.584821 \nL 274.608487 193.669535 \nL 280.687346 187.876053 \nL 287.021444 181.133777 \nL 293.545778 173.391455 \nL 300.169867 164.629359 \nL 306.77379 154.874045 \nL 313.205108 144.214694 \nL 319.277577 132.81923 \nL 324.772809 120.946979 \nL 329.4461 108.9536 \nL 333.037477 97.283287 \nL 335.288545 86.443991 \nL 335.964711 76.963797 \nL 334.880778 69.331594 \nL 331.926341 63.930873 \nL 327.086373 60.980885 \nL 320.451938 60.500666 \nL 312.217523 62.307156 \nL 302.664348 66.049437 \nL 292.13224 71.269956 \nL 280.985559 77.476218 \nL 269.579747 84.205219 \nL 226.894388 110.007441 \nL 202.04684 124.603484 \nL 183.972272 135.220697 \nL 175.029809 140.676583 \nL 165.013074 147.125857 \nL 155.65067 153.293837 \nL 151.894286 155.490938 \nL 148.418425 157.11601 \nL 146.728902 157.709854 \nL 145.048134 158.153665 \nL 143.362312 158.443396 \nL 141.660466 158.574545 \nL 139.934325 158.542361 \nL 138.178196 158.342065 \nL 136.388887 157.969104 \nL 134.565669 157.419416 \nL 132.710251 156.689739 \nL 130.826791 155.777963 \nL 128.921897 154.683507 \nL 127.004654 153.407736 \nL 125.086606 151.954394 \nL 123.181773 150.330046 \nL 121.306571 148.544528 \nL 119.479695 146.61135 \nL 117.721957 144.548003 \nL 116.055989 142.376198 \nL 114.505884 140.121922 \nL 113.096703 137.815332 \nL 111.85388 135.490394 \nL 110.802501 133.184281 \nL 109.966504 130.93651 \nL 109.367794 128.78783 \nL 109.025362 126.778916 \nL 108.95435 124.948876 \nL 109.165277 123.333758 \nL 109.66332 121.965084 \nL 110.447811 120.868568 \nL 111.511979 120.063104 \nL 112.842945 119.560118 \nL 114.421999 119.363373 \nL 116.225133 119.46914 \nL 118.223825 119.866828 \nL 120.386029 120.539908 \nL 122.677248 121.467087 \nL 125.061673 122.623571 \nL 127.503312 123.982376 \nL 129.967022 125.51555 \nL 132.419408 127.195199 \nL 134.829555 128.994375 \nL 137.169567 130.887696 \nL 139.414912 132.851772 \nL 141.544604 134.86542 \nL 143.541212 136.909746 \nL 145.390737 138.968069 \nL 147.082393 141.025771 \nL 148.608309 143.070106 \nL 149.96318 145.089926 \nL 151.143897 147.075451 \nL 152.149186 149.01802 \nL 152.97924 150.909833 \nL 153.635375 152.743757 \nL 154.119745 154.51314 \nL 154.435046 156.211598 \nL 154.584308 157.832906 \nL 154.570696 159.370822 \nL 154.397347 160.818996 \nL 154.067271 162.170828 \nL 153.583262 163.419404 \nL 152.947866 164.557386 \nL 152.163353 165.576939 \nL 151.231748 166.469669 \nL 150.154877 167.226566 \nL 148.934441 167.837959 \nL 147.57214 168.293502 \nL 146.069795 168.582187 \nL 144.429527 168.692373 \nL 142.653964 168.61186 \nL 140.746466 168.328054 \nL 138.7114 167.828133 \nL 136.554448 167.099334 \nL 134.282929 166.129318 \nL 131.906177 164.906677 \nL 129.435909 163.421499 \nL 126.886644 161.666105 \nL 124.276066 159.635905 \nL 121.625413 157.330396 \nL 118.959793 154.754203 \nL 116.308388 151.918241 \nL 113.704596 148.840833 \nL 111.185911 145.548722 \nL 108.793661 142.077901 \nL 106.572414 138.474049 \nL 104.569131 134.792494 \nL 102.831916 131.097502 \nL 101.408488 127.460869 \nL 100.344327 123.95966 \nL 99.680616 120.673186 \nL 99.452027 117.67939 \nL 99.684616 115.05079 \nL 100.393883 112.850504 \nL 101.583317 111.128564 \nL 103.243478 109.919094 \nL 105.351846 109.238649 \nL 107.873422 109.085779 \nL 110.762114 109.442179 \nL 113.962794 110.274813 \nL 117.413801 111.53915 \nL 121.049724 113.18274 \nL 124.804227 115.148945 \nL 128.612633 117.380378 \nL 132.414171 119.821701 \nL 136.15374 122.421777 \nL 139.783116 125.13502 \nL 143.261637 127.922066 \nL 146.556422 130.74988 \nL 149.642167 133.591445 \nL 152.50065 136.425168 \nL 155.120017 139.234131 \nL 157.493948 142.005298 \nL 159.620752 144.728783 \nL 161.502482 147.397146 \nL 163.144085 150.004783 \nL 164.552625 152.547438 \nL 165.736594 155.021797 \nL 166.705314 157.425163 \nL 167.468439 159.755176 \nL 168.035542 162.009648 \nL 168.415788 164.186383 \nL 168.617675 166.283047 \nL 168.648849 168.297061 \nL 168.515965 170.225505 \nL 168.224595 172.065022 \nL 167.779185 173.81174 \nL 167.183024 175.46118 \nL 166.438257 177.00813 \nL 165.545914 178.44658 \nL 164.50595 179.769574 \nL 163.31732 180.969089 \nL 161.978054 182.035924 \nL 160.485364 182.959518 \nL 158.835757 183.727842 \nL 157.025199 184.327213 \nL 155.049274 184.742159 \nL 152.903415 184.955303 \nL 150.583149 184.947231 \nL 148.084418 184.696453 \nL 145.403951 184.179409 \nL 142.53973 183.370582 \nL 139.491507 182.242724 \nL 136.261461 180.767347 \nL 132.854932 178.915355 \nL 129.281277 176.658073 \nL 125.554813 173.968603 \nL 121.695872 170.823623 \nL 117.7319 167.205688 \nL 113.698555 163.106019 \nL 109.640739 158.527741 \nL 105.613451 153.489483 \nL 101.682276 148.029085 \nL 97.923379 142.207007 \nL 94.422794 136.109024 \nL 91.274781 129.84747 \nL 88.579096 123.560414 \nL 86.437112 117.408118 \nL 84.946748 111.566278 \nL 84.196519 106.216201 \nL 84.25903 101.532386 \nL 85.184597 97.668773 \nL 86.995769 94.745452 \nL 89.683507 92.837929 \nL 93.205747 91.970777 \nL 97.48872 92.11692 \nL 102.431056 93.202605 \nL 107.910189 95.117246 \nL 113.790318 97.726297 \nL 119.930915 100.88484 \nL 126.194782 104.449985 \nL 132.454876 108.290524 \nL 138.599405 112.293264 \nL 144.534923 116.365976 \nL 150.187674 120.437666 \nL 155.503363 124.456788 \nL 160.445789 128.388406 \nL 164.994759 132.210911 \nL 169.143608 135.912799 \nL 172.896624 139.489796 \nL 176.266583 142.942507 \nL 179.272499 146.274567 \nL 181.93768 149.491316 \nL 184.288092 152.598848 \nL 186.351036 155.603398 \nL 188.15411 158.510959 \nL 189.724423 161.327091 \nL 191.088024 164.056809 \nL 192.269512 166.704609 \nL 194.175899 171.769901 \nL 195.604574 176.549615 \nL 196.687242 181.064946 \nL 197.885881 187.379452 \nL 201.096307 206.46541 \nL 202.228849 210.697169 \nL 203.148491 213.305139 \nL 204.239752 215.743265 \nL 205.542666 218.008001 \nL 207.104452 220.090514 \nL 208.981481 221.974503 \nL 210.058858 222.834167 \nL 211.241434 223.633036 \nL 212.539819 224.365331 \nL 213.965624 225.023916 \nL 215.531547 225.600042 \nL 217.251432 226.083023 \nL 219.140341 226.459856 \nL 221.214603 226.714777 \nL 223.491836 226.828733 \nL 225.990944 226.778772 \nL 228.732065 226.537345 \nL 231.736444 226.071518 \nL 235.026223 225.342103 \nL 238.624098 224.302716 \nL 242.552795 222.898843 \nL 246.834353 221.066937 \nL 251.489071 218.73371 \nL 256.53413 215.815753 \nL 261.981704 212.219794 \nL 267.836551 207.843931 \nL 274.092888 202.580316 \nL 280.730564 196.319927 \nL 287.710406 188.960146 \nL 294.968871 180.415834 \nL 302.412154 170.634525 \nL 309.910213 159.615879 \nL 317.291538 147.434678 \nL 324.339706 134.265173 \nL 330.793498 120.402722 \nL 336.352273 106.276348 \nL 340.688673 92.444252 \nL 343.46989 79.564487 \nL 344.387313 68.336009 \nL 343.192383 59.413159 \nL 339.733376 53.306602 \nL 333.985882 50.293538 \nL 326.068974 50.363749 \nL 316.241191 53.220657 \nL 304.875158 58.33999 \nL 292.415561 65.068702 \nL 279.329588 72.734827 \nL 252.991933 88.609282 \nL 240.428583 96.02067 \nL 228.589717 102.782044 \nL 217.61497 108.809926 \nL 207.576198 114.096773 \nL 198.492016 118.682476 \nL 190.342116 122.632154 \nL 176.642066 128.92299 \nL 165.951018 133.538842 \nL 154.280752 138.284882 \nL 146.310297 141.275715 \nL 142.379588 142.582709 \nL 139.210475 143.458384 \nL 136.589969 143.966845 \nL 134.364457 144.153713 \nL 132.428121 144.054902 \nL 130.713024 143.7027 \nL 129.180755 143.129869 \nL 127.815467 142.372461 \nL 126.617881 141.471387 \nL 125.600057 140.472975 \nL 124.780553 139.428449 \nL 124.180052 138.39242 \nL 123.817309 137.420489 \nL 123.705592 136.566185 \nL 123.849742 135.877608 \nL 124.244127 135.394223 \nL 124.871664 135.144211 \nL 125.703934 135.142772 \nL 126.702373 135.391592 \nL 127.820476 135.879413 \nL 129.006541 136.583666 \nL 130.795467 137.974622 \nL 132.440964 139.6474 \nL 133.789963 141.454 \nL 134.464285 142.658514 \nL 134.927679 143.812852 \nL 135.162618 144.876331 \nL 135.159384 145.810961 \nL 134.915752 146.581865 \nL 134.436695 147.157727 \nL 133.734146 147.51136 \nL 132.826932 147.620584 \nL 131.740783 147.469256 \nL 130.508434 147.048715 \nL 129.169673 146.359389 \nL 127.771194 145.412482 \nL 126.366066 144.231596 \nL 125.012626 142.853897 \nL 123.772657 141.330463 \nL 122.708671 139.725435 \nL 121.880423 138.113647 \nL 121.340726 136.576599 \nL 121.130983 135.196958 \nL 121.277016 134.05214 \nL 121.486394 133.588933 \nL 121.785685 133.207807 \nL 122.172496 132.914192 \nL 122.643108 132.712194 \nL 123.814683 132.592378 \nL 125.247249 132.85282 \nL 126.872929 133.476482 \nL 128.614349 134.427996 \nL 130.39025 135.658087 \nL 132.12093 137.108432 \nL 133.732723 138.716151 \nL 135.161358 140.417444 \nL 136.353836 142.150104 \nL 137.269186 143.855024 \nL 137.878219 145.476843 \nL 138.162701 146.964056 \nL 138.114284 148.268828 \nL 137.733461 149.346799 \nL 137.02878 150.157031 \nL 136.016459 150.662376 \nL 134.720453 150.830299 \nL 133.17292 150.63438 \nL 131.415034 150.056483 \nL 129.497889 149.089661 \nL 127.483319 147.74155 \nL 125.444135 146.038043 \nL 123.463538 144.026643 \nL 121.633079 141.778684 \nL 120.048948 139.389436 \nL 118.806345 136.975257 \nL 117.992147 134.667058 \nL 117.768514 133.595174 \nL 117.676508 132.600245 \nL 117.720902 131.697835 \nL 117.904451 130.902162 \nL 118.227726 130.225727 \nL 118.689033 129.678968 \nL 119.284366 129.270007 \nL 120.007445 129.004482 \nL 120.849841 128.885441 \nL 121.801123 128.913368 \nL 122.849132 129.086255 \nL 123.980222 129.399819 \nL 126.431773 130.421884 \nL 129.030085 131.909778 \nL 131.64757 133.776023 \nL 134.164334 135.92529 \nL 136.475284 138.262216 \nL 138.494283 140.696609 \nL 140.155499 143.146038 \nL 141.412557 145.536436 \nL 142.236239 147.801262 \nL 142.611573 149.880054 \nL 142.629588 150.832036 \nL 142.53488 151.716745 \nL 142.328355 152.527599 \nL 142.011369 153.258153 \nL 141.585689 153.902028 \nL 141.053487 154.452943 \nL 140.417336 154.904689 \nL 139.680237 155.251187 \nL 138.845644 155.486485 \nL 137.91752 155.604837 \nL 136.90039 155.600776 \nL 135.799422 155.469226 \nL 134.620503 155.2056 \nL 133.370337 154.805972 \nL 130.687719 153.587366 \nL 127.825038 151.802503 \nL 124.874465 149.464768 \nL 121.948362 146.620112 \nL 119.178705 143.354729 \nL 116.713317 139.799954 \nL 115.643403 137.96747 \nL 114.707991 136.131801 \nL 113.925778 134.320568 \nL 113.314195 132.562637 \nL 112.888872 130.887373 \nL 112.663023 129.323759 \nL 112.64694 127.899511 \nL 112.847476 126.640113 \nL 113.267661 125.56794 \nL 113.9064 124.701495 \nL 114.758367 124.054792 \nL 115.814004 123.636934 \nL 117.059718 123.451956 \nL 118.47822 123.498922 \nL 120.049039 123.772179 \nL 121.749093 124.261899 \nL 123.553419 124.954708 \nL 125.435862 125.834427 \nL 127.369818 126.882845 \nL 131.287665 129.407269 \nL 135.109465 132.368719 \nL 138.665791 135.615259 \nL 141.823451 139.012328 \nL 144.487128 142.446222 \nL 146.596092 145.822983 \nL 147.431554 147.465109 \nL 148.118057 149.064764 \nL 148.654821 150.61398 \nL 149.041947 152.10522 \nL 149.280224 153.531264 \nL 149.370967 154.88508 \nL 149.315867 156.159702 \nL 149.116875 157.348175 \nL 148.776121 158.443439 \nL 148.295842 159.438266 \nL 147.678366 160.325223 \nL 146.926099 161.096595 \nL 146.041537 161.744396 \nL 145.027338 162.260324 \nL 143.886373 162.635788 \nL 142.621847 162.861959 \nL 141.237409 162.929829 \nL 139.737307 162.830302 \nL 138.126561 162.554356 \nL 136.411152 162.093252 \nL 134.598245 161.438767 \nL 132.696406 160.583536 \nL 130.715847 159.52141 \nL 128.66867 158.247929 \nL 126.569092 156.760861 \nL 124.433666 155.06076 \nL 122.281458 153.151611 \nL 120.134176 151.041485 \nL 118.016184 148.743188 \nL 115.95448 146.27484 \nL 113.97849 143.660332 \nL 112.119729 140.929617 \nL 110.411287 138.118738 \nL 108.887148 135.269545 \nL 107.58129 132.428993 \nL 106.526639 129.64806 \nL 105.753859 126.980234 \nL 105.290078 124.479624 \nL 105.157563 122.198799 \nL 105.372506 120.186488 \nL 105.943937 118.485297 \nL 106.872912 117.12971 \nL 108.152053 116.144513 \nL 109.765482 115.543746 \nL 111.689199 115.330458 \nL 113.891888 115.497036 \nL 116.336069 116.026315 \nL 118.979542 116.893109 \nL 121.777047 118.066068 \nL 124.681913 119.509789 \nL 127.647697 121.186747 \nL 130.62967 123.059131 \nL 133.586004 125.090276 \nL 136.478753 127.245818 \nL 139.274493 129.494415 \nL 141.944683 131.808166 \nL 144.465762 134.162735 \nL 146.819034 136.537228 \nL 148.990365 138.91396 \nL 150.969781 141.278082 \nL 152.750954 143.617206 \nL 154.330668 145.920977 \nL 155.708279 148.180703 \nL 156.885174 150.388984 \nL 157.864289 152.5394 \nL 158.649649 154.626239 \nL 159.245987 156.644255 \nL 159.658384 158.588467 \nL 159.892005 160.453979 \nL 159.95186 162.235828 \nL 159.842617 163.928862 \nL 159.568476 165.527614 \nL 159.133081 167.026203 \nL 158.539449 168.418197 \nL 157.78996 169.696549 \nL 156.886366 170.853484 \nL 155.829837 171.880411 \nL 154.621014 172.767827 \nL 153.260124 173.505252 \nL 151.7471 174.081156 \nL 150.08174 174.482897 \nL 148.263892 174.696713 \nL 146.293701 174.707722 \nL 144.171861 174.500011 \nL 141.899943 174.056737 \nL 139.480752 173.360377 \nL 136.918747 172.393044 \nL 134.220504 171.136966 \nL 131.395239 169.575124 \nL 128.455368 167.692071 \nL 125.417107 165.474978 \nL 122.301063 162.914911 \nL 119.132846 160.008304 \nL 115.943589 156.758673 \nL 112.770369 153.178414 \nL 109.656428 149.290671 \nL 106.651161 145.131052 \nL 103.809733 140.749024 \nL 101.192263 136.208712 \nL 98.862487 131.588832 \nL 96.885882 126.981502 \nL 95.327207 122.489689 \nL 94.24754 118.223246 \nL 93.700989 114.293595 \nL 93.731228 110.807447 \nL 94.368229 107.860064 \nL 95.625465 105.528825 \nL 97.498003 103.867848 \nL 99.961676 102.904516 \nL 102.973591 102.638319 \nL 106.473972 103.04223 \nL 110.389147 104.066355 \nL 114.635453 105.643243 \nL 119.123609 107.694133 \nL 123.763139 110.135329 \nL 128.466472 112.883762 \nL 133.15237 115.861576 \nL 137.748501 118.999156 \nL 142.193123 122.236936 \nL 146.435858 125.525861 \nL 150.43775 128.827031 \nL 154.170682 132.110703 \nL 157.616395 135.354988 \nL 160.765254 138.544387 \nL 163.614853 141.668455 \nL 166.168651 144.720567 \nL 168.434639 147.696857 \nL 170.424141 150.595409 \nL 172.150757 153.415586 \nL 173.62945 156.157557 \nL 174.875802 158.821926 \nL 175.905409 161.409503 \nL 176.733397 163.921122 \nL 177.37407 166.357524 \nL 177.840637 168.719288 \nL 178.145037 171.006754 \nL 178.297815 173.220016 \nL 178.308056 175.358852 \nL 178.183355 177.422727 \nL 177.929825 179.41073 \nL 177.552115 181.321531 \nL 177.053448 183.153334 \nL 176.435664 184.903815 \nL 175.699277 186.570046 \nL 174.843521 188.148406 \nL 173.866409 189.634478 \nL 172.764778 191.022909 \nL 171.534351 192.307294 \nL 170.16979 193.479993 \nL 168.66475 194.531961 \nL 167.011956 195.452529 \nL 165.203273 196.229176 \nL 163.229814 196.847274 \nL 161.082058 197.289811 \nL 158.750012 197.537107 \nL 156.223426 197.566507 \nL 153.492053 197.352116 \nL 150.546003 196.864537 \nL 147.376199 196.070699 \nL 143.97493 194.933803 \nL 140.33657 193.413427 \nL 136.458468 191.465932 \nL 132.342012 189.045223 \nL 127.993939 186.104004 \nL 123.427842 182.595719 \nL 118.665914 178.477292 \nL 113.740869 173.712853 \nL 108.697981 168.278491 \nL 103.597098 162.168146 \nL 98.514476 155.400421 \nL 93.54405 148.025866 \nL 88.797917 140.134149 \nL 84.405472 131.859798 \nL 80.510797 123.385203 \nL 77.267848 114.939046 \nL 74.833238 106.788683 \nL 73.356604 99.225311 \nL 72.969118 92.542305 \nL 73.771157 87.0084 \nL 75.820702 82.839457 \nL 79.124235 80.173785 \nL 83.632033 79.056085 \nL 89.238982 79.433789 \nL 95.791315 81.166969 \nL 103.098485 84.049642 \nL 110.948298 87.837663 \nL 119.123115 92.277623 \nL 127.414751 97.131439 \nL 135.636335 102.193538 \nL 143.630236 107.299758 \nL 158.470524 117.199274 \nL 165.166279 121.861778 \nL 171.327022 126.29267 \nL 176.943373 130.486109 \nL 182.023995 134.448013 \nL 186.591094 138.191163 \nL 190.676475 141.731667 \nL 194.318224 145.086538 \nL 197.558044 148.272157 \nL 200.439174 151.303417 \nL 203.004848 154.193293 \nL 207.356385 159.590625 \nL 210.924335 164.528675 \nL 219.432066 176.862592 \nL 222.17964 180.144246 \nL 223.621999 181.616073 \nL 225.130722 182.967616 \nL 226.720121 184.191568 \nL 228.403748 185.279229 \nL 230.194509 186.220329 \nL 232.104735 187.002898 \nL 234.146216 187.613073 \nL 236.330184 188.034942 \nL 238.667243 188.250359 \nL 241.16723 188.23883 \nL 243.839014 187.977384 \nL 246.690188 187.440535 \nL 249.726688 186.600366 \nL 252.952286 185.426709 \nL 256.367969 183.887566 \nL 259.971171 181.949782 \nL 263.75488 179.580058 \nL 267.706602 176.74642 \nL 271.807187 173.420158 \nL 276.029554 169.578393 \nL 280.337423 165.207265 \nL 284.684009 160.305699 \nL 289.010982 154.889686 \nL 293.247702 148.996801 \nL 297.311058 142.69052 \nL 301.106083 136.063761 \nL 304.527656 129.240836 \nL 307.46352 122.376931 \nL 309.798693 115.654231 \nL 311.421367 109.274137 \nL 312.229963 103.445443 \nL 312.14094 98.369211 \nL 311.096475 94.221877 \nL 309.07112 91.138926 \nL 306.076395 89.201807 \nL 302.162426 88.430511 \nL 297.416142 88.783455 \nL 291.956052 90.164577 \nL 285.924251 92.43635 \nL 279.476652 95.4362 \nL 272.772738 98.993307 \nL 265.966108 102.943325 \nL 259.196715 107.139311 \nL 252.585414 111.458126 \nL 246.230884 115.802843 \nL 240.208719 120.101828 \nL 234.572256 124.305826 \nL 229.354618 128.383961 \nL 224.571469 132.319522 \nL 220.224062 136.10607 \nL 216.302285 139.744125 \nL 212.787481 143.238565 \nL 209.654939 146.59668 \nL 206.875994 149.82683 \nL 204.419749 152.937522 \nL 202.254433 155.936869 \nL 200.348431 158.832314 \nL 198.67104 161.630472 \nL 195.886821 166.957312 \nL 193.690036 171.954657 \nL 191.900929 176.649686 \nL 186.21256 192.714283 \nL 184.681323 196.083718 \nL 182.955923 199.188943 \nL 180.96742 202.014867 \nL 179.852262 203.315552 \nL 178.643976 204.535716 \nL 177.332594 205.669836 \nL 175.907587 206.711148 \nL 174.357795 207.651452 \nL 172.671369 208.480851 \nL 170.83573 209.18747 \nL 168.837553 209.757133 \nL 166.662767 210.172986 \nL 164.296609 210.415075 \nL 161.723704 210.459887 \nL 158.928237 210.279856 \nL 155.894178 209.84284 \nL 152.605635 209.11161 \nL 149.047332 208.043383 \nL 145.205252 206.589467 \nL 141.067514 204.695094 \nL 136.625476 202.299601 \nL 131.87518 199.337079 \nL 126.819123 195.737786 \nL 121.468444 191.43052 \nL 115.845518 186.346327 \nL 109.986936 180.423871 \nL 103.946854 173.616749 \nL 97.800398 165.902926 \nL 91.646996 157.296185 \nL 85.613017 147.858999 \nL 79.853159 137.715568 \nL 74.549705 127.062841 \nL 69.90874 116.176562 \nL 66.152454 105.408702 \nL 63.506901 95.172795 \nL 62.185446 85.915052 \nL 62.36876 78.072063 \nL 64.18375 72.019915 \nL 67.684654 68.023629 \nL 72.840194 66.198424 \nL 79.529945 66.493009 \nL 87.551815 68.70043 \nL 96.639828 72.494105 \nL 106.489326 77.480015 \nL 116.784868 83.251747 \nL 127.226063 89.436875 \nL 147.532213 101.892005 \nL 181.540587 123.07799 \nL 194.386336 131.291735 \nL 204.667109 138.181107 \nL 212.802504 144.018069 \nL 219.256808 149.018871 \nL 226.734481 155.25547 \nL 232.651639 160.178781 \nL 236.200364 162.760066 \nL 237.937336 163.834385 \nL 239.678164 164.758448 \nL 241.440915 165.52621 \nL 243.241086 166.130536 \nL 245.091738 166.563311 \nL 247.003618 166.815528 \nL 248.985213 166.877437 \nL 251.042758 166.738702 \nL 253.180196 166.388619 \nL 255.399097 165.816376 \nL 257.698521 165.011414 \nL 260.074836 163.963848 \nL 262.521499 162.66501 \nL 265.028814 161.108098 \nL 267.583689 159.288913 \nL 270.169371 157.206749 \nL 272.765247 154.865309 \nL 275.346656 152.273739 \nL 277.884862 149.447619 \nL 280.347131 146.409906 \nL 282.696968 143.191693 \nL 284.894609 139.832727 \nL 286.897787 136.38148 \nL 288.662721 132.89472 \nL 290.145472 129.436449 \nL 291.303514 126.076146 \nL 292.097568 122.886346 \nL 292.493518 119.939576 \nL 292.464365 117.304922 \nL 291.992052 115.044472 \nL 291.068929 113.209868 \nL 289.698814 111.839525 \nL 287.897395 110.956621 \nL 285.692019 110.568224 \nL 283.120742 110.665664 \nL 280.230775 111.225901 \nL 277.076448 112.21401 \nL 273.716787 113.586073 \nL 270.213029 115.292483 \nL 266.626168 117.281132 \nL 263.014761 119.500176 \nL 259.433106 121.900297 \nL 255.929884 124.436327 \nL 252.547236 127.068231 \nL 249.32034 129.761507 \nL 246.277351 132.487198 \nL 243.439672 135.221506 \nL 240.822483 137.945255 \nL 238.435409 140.643257 \nL 236.2833 143.303599 \nL 234.367036 145.917035 \nL 232.684318 148.476369 \nL 231.230409 150.975974 \nL 229.998827 153.411346 \nL 228.981936 155.778772 \nL 228.171472 158.075025 \nL 227.558964 160.29715 \nL 227.136102 162.442296 \nL 226.895012 164.507533 \nL 226.82848 166.489746 \nL 226.930105 168.38551 \nL 227.19442 170.191021 \nL 227.616958 171.901961 \nL 228.194288 173.513409 \nL 228.924028 175.019753 \nL 229.804814 176.414575 \nL 230.836266 177.690543 \nL 232.018926 178.839278 \nL 233.354161 179.851236 \nL 234.84407 180.715587 \nL 236.491347 181.420069 \nL 238.299126 181.950881 \nL 240.270782 182.292543 \nL 242.409711 182.42783 \nL 244.719056 182.337686 \nL 247.201362 182.001261 \nL 249.858204 181.395956 \nL 252.689705 180.497658 \nL 255.694004 179.281062 \nL 258.866613 177.720199 \nL 262.199689 175.789261 \nL 265.681239 173.463675 \nL 269.294202 170.721526 \nL 273.015521 167.545417 \nL 276.815161 163.924741 \nL 280.655195 159.858304 \nL 284.489013 155.357329 \nL 288.260752 150.448602 \nL 291.905131 145.177532 \nL 295.347819 139.61077 \nL 298.506504 133.837855 \nL 301.292821 127.971408 \nL 303.61525 122.145268 \nL 305.383053 116.510143 \nL 306.511046 111.226634 \nL 306.92503 106.455732 \nL 306.567448 102.347667 \nL 305.40262 99.030209 \nL 303.420968 96.598039 \nL 300.641573 95.104815 \nL 297.112548 94.559359 \nL 292.909065 94.926521 \nL 288.129111 96.132704 \nL 282.8875 98.075 \nL 277.308779 100.632232 \nL 271.519904 103.676374 \nL 265.643494 107.082519 \nL 259.792217 110.736607 \nL 254.064712 114.540277 \nL 248.543128 118.413111 \nL 243.292197 122.292672 \nL 238.359539 126.132989 \nL 233.776903 129.902218 \nL 229.56202 133.579925 \nL 225.720747 137.154393 \nL 222.2493 140.620285 \nL 219.136404 143.976637 \nL 216.365252 147.22534 \nL 213.915211 150.369945 \nL 211.76327 153.414871 \nL 209.885212 156.364842 \nL 208.256549 159.224535 \nL 206.853236 161.998375 \nL 205.652193 164.690442 \nL 204.631677 167.304448 \nL 203.771514 169.843722 \nL 202.460162 174.709706 \nL 201.591551 179.30887 \nL 201.066278 183.658083 \nL 200.809471 187.771622 \nL 200.767346 191.661877 \nL 200.903726 195.339733 \nL 201.196956 198.814756 \nL 201.637418 202.095159 \nL 202.225687 205.187655 \nL 202.971333 208.097136 \nL 203.892311 210.826156 \nL 205.014902 213.374179 \nL 206.374128 215.736449 \nL 208.014638 217.902336 \nL 209.991994 219.852934 \nL 211.127736 220.738503 \nL 212.374324 221.557586 \nL 213.742557 222.303687 \nL 215.244274 222.968836 \nL 216.89241 223.543298 \nL 218.701066 224.015223 \nL 220.685544 224.370265 \nL 222.862377 224.591085 \nL 225.249339 224.656817 \nL 227.865389 224.542429 \nL 230.730586 224.218013 \nL 233.865904 223.647996 \nL 237.292946 222.790283 \nL 241.033501 221.595378 \nL 245.108937 220.005523 \nL 249.539297 217.953972 \nL 254.342113 215.364548 \nL 259.530798 212.151644 \nL 265.112533 208.221039 \nL 271.085602 203.4719 \nL 277.435995 197.800482 \nL 284.133359 191.106169 \nL 291.126181 183.300524 \nL 298.336434 174.31992 \nL 305.653972 164.142125 \nL 312.931252 152.806509 \nL 319.979314 140.436474 \nL 326.566334 127.26111 \nL 332.420453 113.631251 \nL 337.238516 100.02312 \nL 340.702396 87.022041 \nL 342.503329 75.280547 \nL 342.373236 65.449777 \nL 340.119329 58.091639 \nL 335.656297 53.588688 \nL 329.028754 52.075098 \nL 320.417236 53.410479 \nL 310.124495 57.207287 \nL 298.54352 62.905215 \nL 286.113842 69.870477 \nL 273.275532 77.492004 \nL 247.912001 92.763086 \nL 235.978894 99.769984 \nL 224.807929 106.134309 \nL 214.505186 111.805978 \nL 205.11777 116.795039 \nL 189.063739 124.927129 \nL 176.334447 131.043171 \nL 162.293261 137.519411 \nL 150.13586 142.885732 \nL 145.860257 144.6097 \nL 142.345964 145.832298 \nL 139.35979 146.60906 \nL 136.732863 146.97515 \nL 134.349573 146.955447 \nL 132.137909 146.571928 \nL 130.061336 145.849217 \nL 128.112002 144.819029 \nL 126.304739 143.523503 \nL 124.671598 142.017303 \nL 123.256315 140.3684 \nL 122.108572 138.656915 \nL 121.277972 136.972038 \nL 120.8078 135.40696 \nL 120.72906 134.052225 \nL 120.84153 133.479488 \nL 121.055394 132.988362 \nL 121.36906 132.586205 \nL 121.779529 132.278959 \nL 122.282384 132.07106 \nL 122.871879 131.965335 \nL 124.281561 132.063754 \nL 125.939741 132.565523 \nL 127.764781 133.43981 \nL 129.66843 134.638347 \nL 131.562038 136.100936 \nL 133.362098 137.760882 \nL 134.994422 139.549508 \nL 136.396822 141.399422 \nL 137.520253 143.246518 \nL 138.328771 145.030895 \nL 138.798662 146.696981 \nL 138.91715 148.19327 \nL 138.68107 149.47186 \nL 138.095749 150.488169 \nL 137.675929 150.884928 \nL 137.174315 151.200919 \nL 136.593745 151.431586 \nL 135.209589 151.620327 \nL 133.55654 151.421896 \nL 131.677072 150.81528 \nL 129.624233 149.79089 \nL 127.46275 148.354424 \nL 125.269617 146.531169 \nL 123.133652 144.370008 \nL 121.153609 141.946326 \nL 119.434254 139.362606 \nL 118.080267 136.745646 \nL 117.188036 134.239416 \nL 116.940593 133.074819 \nL 116.836101 131.993808 \nL 116.880009 131.013668 \nL 117.075506 130.150178 \nL 117.423349 129.41718 \nL 117.921757 128.82618 \nL 118.566363 128.386048 \nL 119.350247 128.102829 \nL 120.264065 127.979633 \nL 121.296264 128.016662 \nL 122.43335 128.211355 \nL 123.660203 128.558577 \nL 126.316966 129.67918 \nL 129.127974 131.298836 \nL 131.953547 133.319628 \nL 134.66366 135.636588 \nL 137.145708 138.146419 \nL 139.308792 140.752992 \nL 141.084777 143.369825 \nL 142.426874 145.920219 \nL 143.306722 148.336007 \nL 143.710816 150.555604 \nL 143.733438 151.573863 \nL 143.637063 152.521903 \nL 143.422751 153.392988 \nL 143.091973 154.180453 \nL 142.646583 154.877681 \nL 142.088795 155.47809 \nL 141.421194 155.975133 \nL 140.646745 156.362305 \nL 139.768847 156.633186 \nL 138.791372 156.781483 \nL 137.718748 156.801126 \nL 136.556038 156.68635 \nL 135.309037 156.431826 \nL 133.984382 156.032836 \nL 132.589652 155.485447 \nL 131.133512 154.786737 \nL 129.625797 153.935073 \nL 128.077627 152.930344 \nL 124.91136 150.470859 \nL 121.752144 147.450081 \nL 120.218213 145.754101 \nL 118.740342 143.953861 \nL 117.339115 142.068109 \nL 116.035876 140.118891 \nL 114.852354 138.131425 \nL 113.810204 136.13375 \nL 112.930481 134.156255 \nL 112.23301 132.230971 \nL 111.735756 130.390721 \nL 111.454151 128.668159 \nL 111.400436 127.09466 \nL 111.58309 125.699251 \nL 112.006318 124.507509 \nL 112.669703 123.540652 \nL 113.568006 122.814773 \nL 114.691172 122.340344 \nL 116.024521 122.121998 \nL 117.549139 122.158602 \nL 119.242438 122.443617 \nL 121.078855 122.96571 \nL 123.030655 123.709512 \nL 125.06877 124.656521 \nL 127.163673 125.786022 \nL 129.286143 127.075988 \nL 133.50276 130.047484 \nL 137.515787 133.396608 \nL 141.160848 136.966597 \nL 144.316869 140.625138 \nL 146.904228 144.264547 \nL 147.969623 146.049291 \nL 148.878499 147.798069 \nL 149.629434 149.502427 \nL 150.222159 151.154523 \nL 150.657292 152.747001 \nL 150.936139 154.27281 \nL 151.060482 155.725096 \nL 151.032433 157.097065 \nL 150.854284 158.381888 \nL 150.528425 159.572591 \nL 150.057254 160.662006 \nL 149.44316 161.642656 \nL 148.688494 162.506734 \nL 147.795598 163.246058 \nL 146.766856 163.852018 \nL 145.604757 164.315599 \nL 144.312011 164.627384 \nL 142.891661 164.777614 \nL 141.347263 164.756259 \nL 139.683049 164.553146 \nL 137.904146 164.158158 \nL 136.016808 163.561444 \nL 134.028678 162.753748 \nL 131.949046 161.726788 \nL 129.789157 160.473733 \nL 127.562468 158.989764 \nL 125.284957 157.272694 \nL 122.975347 155.323713 \nL 120.655323 153.148137 \nL 118.34966 150.756223 \nL 116.086251 148.163903 \nL 113.896009 145.393503 \nL 111.812621 142.474226 \nL 109.872061 139.44243 \nL 108.111954 136.341547 \nL 106.570661 133.221583 \nL 105.286146 130.138096 \nL 104.294675 127.150669 \nL 103.629302 124.320888 \nL 103.318346 121.70987 \nL 103.383833 119.375523 \nL 103.840108 117.369768 \nL 104.692704 115.735885 \nL 105.937553 114.506389 \nL 107.560721 113.701444 \nL 109.538608 113.328253 \nL 111.83873 113.381214 \nL 114.420951 113.842956 \nL 117.239109 114.686165 \nL 120.242919 115.875778 \nL 123.379972 117.371488 \nL 126.597706 119.130229 \nL 129.845217 121.108414 \nL 133.074773 123.263803 \nL 136.243006 125.556931 \nL 139.311745 127.95202 \nL 142.248485 130.417516 \nL 145.026522 132.926198 \nL 147.624838 135.45505 \nL 150.027744 137.984924 \nL 152.224399 140.500085 \nL 154.208199 142.987702 \nL 155.976154 145.437353 \nL 157.528225 147.840548 \nL 158.866713 150.190298 \nL 159.995662 152.480752 \nL 160.920345 154.706846 \nL 161.646795 156.864057 \nL 162.181414 158.948179 \nL 162.530639 160.955135 \nL 162.70069 162.880811 \nL 162.697339 164.720924 \nL 162.525774 166.470895 \nL 162.190465 168.125749 \nL 161.695117 169.679997 \nL 161.042605 171.127532 \nL 160.235002 172.461534 \nL 159.273576 173.674367 \nL 158.158855 174.757472 \nL 156.890704 175.701246 \nL 155.468426 176.494978 \nL 153.890902 177.126712 \nL 152.156738 177.583192 \nL 150.26447 177.849807 \nL 148.212803 177.910532 \nL 146.000877 177.74799 \nL 143.628608 177.343491 \nL 141.097058 176.677239 \nL 138.408887 175.728595 \nL 135.568867 174.476536 \nL 132.584438 172.900262 \nL 129.466368 170.98001 \nL 126.229438 168.698189 \nL 122.893177 166.040724 \nL 119.482594 162.998737 \nL 116.028901 159.570488 \nL 112.570121 155.763599 \nL 109.151531 151.597346 \nL 105.825859 147.104971 \nL 102.653072 142.335712 \nL 99.699698 137.356247 \nL 97.037546 132.25121 \nL 94.741712 127.122392 \nL 92.887869 122.086288 \nL 91.548895 117.269774 \nL 90.790916 112.803998 \nL 90.669051 108.816772 \nL 91.223252 105.424028 \nL 92.474606 102.721505 \nL 94.422627 100.777506 \nL 97.043868 99.627928 \nL 100.292214 99.274354 \nL 104.100886 99.685418 \nL 108.38597 100.801296 \nL 113.051155 102.540453 \nL 117.993149 104.807748 \nL 123.107186 107.502506 \nL 128.292083 110.52577 \nL 133.454465 113.785891 \nL 138.511884 117.202288 \nL 143.394766 120.707372 \nL 148.047257 124.246846 \nL 152.42711 127.77898 \nL 156.504872 131.27308 \nL 160.26257 134.707689 \nL 163.69212 138.068699 \nL 166.793628 141.347577 \nL 169.573701 144.539881 \nL 172.043885 147.643999 \nL 174.219258 150.660205 \nL 176.117215 153.589929 \nL 177.756456 156.435223 \nL 179.156157 159.198438 \nL 180.335322 161.881956 \nL 181.312278 164.488078 \nL 182.104315 167.018914 \nL 182.727422 169.476355 \nL 183.196131 171.862053 \nL 183.523405 174.177413 \nL 183.720612 176.423584 \nL 183.762288 180.711738 \nL 183.380647 184.730673 \nL 182.611749 188.480149 \nL 181.470269 191.954589 \nL 180.759034 193.585135 \nL 179.951439 195.14166 \nL 179.044103 196.621209 \nL 178.032604 198.020071 \nL 176.911491 199.333664 \nL 175.674315 200.556391 \nL 174.313638 201.68146 \nL 172.82105 202.700694 \nL 171.187189 203.604305 \nL 169.401767 204.38062 \nL 167.453618 205.015789 \nL 165.330751 205.493462 \nL 163.020455 205.794403 \nL 160.50942 205.8961 \nL 157.783948 205.772329 \nL 154.830206 205.392744 \nL 151.634604 204.722447 \nL 148.184273 203.72166 \nL 144.467713 202.34549 \nL 140.475631 200.5439 \nL 136.201997 198.262024 \nL 131.645369 195.440919 \nL 126.810546 192.019014 \nL 121.71052 187.934428 \nL 116.368775 183.128429 \nL 110.821924 177.550351 \nL 105.12252 171.164068 \nL 99.341964 163.956219 \nL 93.57318 155.945954 \nL 87.932653 147.195633 \nL 82.561299 137.821429 \nL 77.62348 128.001958 \nL 73.303391 117.982626 \nL 69.798206 108.072722 \nL 67.307551 98.632803 \nL 66.01937 90.050652 \nL 66.093221 82.706733 \nL 67.642651 76.932753 \nL 70.719333 72.970253 \nL 75.302052 70.93801 \nL 81.292981 70.816218 \nL 88.522907 72.452128 \nL 96.765018 75.586201 \nL 105.755089 79.892347 \nL 115.214611 85.022731 \nL 124.873015 90.647537 \nL 134.485863 96.4834 \nL 152.795299 107.963073 \nL 169.029036 118.406683 \nL 182.724347 127.496 \nL 193.889768 135.303798 \nL 198.605337 138.790882 \nL 202.8056 142.036989 \nL 209.871061 147.903683 \nL 215.50842 153.064669 \nL 220.111779 157.62625 \nL 227.53568 165.15295 \nL 230.87951 168.135303 \nL 232.549606 169.422126 \nL 234.245831 170.565489 \nL 235.9859 171.558332 \nL 237.785509 172.392286 \nL 239.658475 173.057687 \nL 241.61683 173.543576 \nL 243.670868 173.837701 \nL 245.829132 173.926592 \nL 248.098348 173.795614 \nL 250.483293 173.429149 \nL 252.986597 172.810783 \nL 255.608487 171.923673 \nL 258.346452 170.750961 \nL 261.194852 169.276426 \nL 264.144469 167.485237 \nL 267.182017 165.36497 \nL 270.289605 162.906814 \nL 273.444251 160.10697 \nL 276.617387 156.9683 \nL 279.774516 153.502034 \nL 282.874962 149.729586 \nL 285.871918 145.684231 \nL 288.712807 141.412483 \nL 291.340007 136.974976 \nL 293.692121 132.446499 \nL 295.705704 127.915033 \nL 297.317616 123.479467 \nL 298.467787 119.246009 \nL 299.10239 115.323289 \nL 299.177174 111.816383 \nL 298.660665 108.820416 \nL 297.53696 106.414249 \nL 295.807768 104.655117 \nL 293.493361 103.574898 \nL 290.632358 103.178598 \nL 287.280158 103.44512 \nL 283.506271 104.330458 \nL 279.390703 105.772425 \nL 275.019783 107.696619 \nL 270.481876 110.02246 \nL 265.863354 112.668822 \nL 261.245121 115.558613 \nL 256.699927 118.6221 \nL 252.290572 121.798855 \nL 248.068929 125.038533 \nL 244.07577 128.300707 \nL 240.341153 131.554033 \nL 236.885319 134.775081 \nL 233.719815 137.946958 \nL 230.848823 141.058007 \nL 228.270484 144.100557 \nL 225.97821 147.069899 \nL 223.961875 149.96342 \nL 222.208881 152.779927 \nL 220.705078 155.51913 \nL 219.435537 158.181294 \nL 218.385167 160.766921 \nL 217.539221 163.276608 \nL 216.883676 165.710872 \nL 216.405515 168.070099 \nL 216.092929 170.354457 \nL 215.935449 172.563862 \nL 215.92403 174.697913 \nL 216.051087 176.755879 \nL 216.310501 178.736653 \nL 216.697606 180.638684 \nL 217.209155 182.459946 \nL 217.843282 184.197852 \nL 218.599447 185.849173 \nL 219.478388 187.409977 \nL 220.482066 188.875469 \nL 221.613611 190.239898 \nL 222.877263 191.496406 \nL 224.27831 192.636856 \nL 225.82302 193.651641 \nL 227.518574 194.529487 \nL 229.372956 195.257201 \nL 231.394858 195.81944 \nL 233.593524 196.198417 \nL 235.978579 196.37365 \nL 238.55978 196.321673 \nL 241.346723 196.015785 \nL 244.348457 195.425857 \nL 247.573 194.518219 \nL 251.026713 193.255674 \nL 254.713542 191.597762 \nL 258.634088 189.501285 \nL 262.784464 186.921261 \nL 267.154966 183.812434 \nL 271.728509 180.131449 \nL 276.478907 175.839897 \nL 281.368954 170.908292 \nL 286.348504 165.321078 \nL 291.352614 159.082615 \nL 296.300019 152.223878 \nL 301.092224 144.80939 \nL 305.613578 136.943497 \nL 309.732796 128.774846 \nL 313.306306 120.497532 \nL 316.18378 112.347365 \nL 318.215967 104.591939 \nL 319.264636 97.513962 \nL 319.21392 91.388657 \nL 317.981913 86.457546 \nL 315.530923 82.902601 \nL 311.874666 80.825588 \nL 307.080891 80.236895 \nL 301.268502 81.05674 \nL 294.599328 83.128457 \nL 287.265592 86.24109 \nL 279.475005 90.156471 \nL 271.435609 94.635427 \nL 263.342506 99.458813 \nL 255.367686 104.4413 \nL 247.653739 109.437599 \nL 240.311207 114.342298 \nL 233.418999 119.085638 \nL 227.026992 123.626955 \nL 221.159945 127.947601 \nL 215.821983 132.044384 \nL 211.001079 135.924055 \nL 206.673212 139.599088 \nL 202.805975 143.084589 \nL 199.361587 146.39624 \nL 196.299296 149.549002 \nL 193.577246 152.556412 \nL 191.153854 155.430239 \nL 187.043686 160.815003 \nL 183.671576 165.761976 \nL 175.603451 178.232262 \nL 172.984741 181.599078 \nL 171.607202 183.122622 \nL 170.164228 184.532727 \nL 168.641847 185.822761 \nL 167.026714 186.984745 \nL 165.305993 188.009211 \nL 163.467265 188.885022 \nL 161.498482 189.599194 \nL 159.387962 190.136694 \nL 157.124431 190.480241 \nL 154.69713 190.610122 \nL 152.095983 190.504014 \nL 149.311841 190.136851 \nL 146.336835 189.480791 \nL 143.164819 188.505249 \nL 139.79194 187.177156 \nL 136.217359 185.461397 \nL 132.444098 183.321555 \nL 128.480066 180.72113 \nL 124.339238 177.62516 \nL 120.04299 174.002499 \nL 115.621498 169.828788 \nL 111.11524 165.090113 \nL 106.576392 159.787395 \nL 102.070005 153.941289 \nL 97.67479 147.597356 \nL 93.483208 140.830866 \nL 89.600563 133.750581 \nL 86.142862 126.5005 \nL 83.233131 119.258491 \nL 80.996051 112.230835 \nL 79.550962 105.642119 \nL 79.003636 99.7206 \nL 79.437445 94.680026 \nL 80.904864 90.700156 \nL 83.420612 87.908997 \nL 86.957455 86.369812 \nL 91.445693 86.075619 \nL 96.776654 86.952443 \nL 102.809912 88.870609 \nL 109.383308 91.661802 \nL 116.324396 95.13872 \nL 123.461769 99.113583 \nL 130.63493 103.413156 \nL 137.701834 107.888656 \nL 144.543666 112.420555 \nL 151.06696 116.918976 \nL 157.20347 121.321157 \nL 162.908388 125.587055 \nL 168.157508 129.694455 \nL 172.943876 133.634239 \nL 177.274325 137.406236 \nL 181.166211 141.015937 \nL 184.64448 144.472003 \nL 187.739174 147.784514 \nL 190.483378 150.963773 \nL 192.911593 154.019605 \nL 195.058491 156.960969 \nL 196.957994 159.795773 \nL 200.143106 165.171955 \nL 202.704001 170.190851 \nL 205.810174 177.110279 \nL 209.397122 185.275695 \nL 211.227188 188.912141 \nL 213.213861 192.241545 \nL 215.445273 195.244885 \nL 216.679451 196.614985 \nL 218.006895 197.890514 \nL 219.43855 199.064882 \nL 220.985661 200.13012 \nL 222.659843 201.07667 \nL 224.473129 201.893139 \nL 226.437999 202.566011 \nL 228.567369 203.079343 \nL 230.874546 203.414427 \nL 233.373133 203.549407 \nL 236.076855 203.458911 \nL 238.999341 203.113656 \nL 242.153772 202.480091 \nL 245.552419 201.520118 \nL 249.206046 200.190905 \nL 253.1231 198.444949 \nL 257.308716 196.230414 \nL 261.763445 193.49193 \nL 266.481722 190.172033 \nL 271.450007 186.213424 \nL 276.644658 181.562312 \nL 282.029492 176.173018 \nL 287.553209 170.014038 \nL 293.146739 163.075657 \nL 298.720884 155.378836 \nL 304.164534 146.984925 \nL 309.344019 138.005121 \nL 314.104156 128.608097 \nL 318.2717 119.023627 \nL 321.661767 109.539756 \nL 324.087504 100.491231 \nL 325.372998 92.237877 \nL 325.368475 85.133658 \nL 323.966345 79.489542 \nL 321.115595 75.536306 \nL 316.832121 73.394616 \nL 311.202447 73.059622 \nL 304.379582 74.404318 \nL 296.571105 77.201148 \nL 288.021317 81.156888 \nL 278.990366 85.95255 \nL 269.733809 91.279926 \nL 260.485412 96.868835 \nL 242.772173 108.021482 \nL 226.959365 118.337715 \nL 213.541641 127.445075 \nL 207.754588 131.544046 \nL 202.553924 135.364456 \nL 197.902541 138.930452 \nL 193.755749 142.266583 \nL 190.064613 145.395844 \nL 183.846945 151.112351 \nL 178.854049 156.206694 \nL 172.886721 162.847136 \nL 167.872168 168.378579 \nL 164.675151 171.444272 \nL 163.052067 172.779628 \nL 161.387322 173.975389 \nL 159.66427 175.023951 \nL 157.867921 175.916323 \nL 155.98481 176.6421 \nL 154.002927 177.189421 \nL 151.911675 177.544902 \nL 149.701915 177.693668 \nL 147.36604 177.619336 \nL 144.898136 177.304112 \nL 142.294215 176.728965 \nL 139.552501 175.873878 \nL 136.673832 174.718246 \nL 133.662113 173.241472 \nL 130.524859 171.423726 \nL 127.273804 169.246983 \nL 123.925558 166.696342 \nL 120.502323 163.761603 \nL 117.032531 160.439172 \nL 113.55149 156.734193 \nL 110.101819 152.662844 \nL 106.73371 148.254694 \nL 103.504803 143.554803 \nL 100.479612 138.62536 \nL 97.728399 133.546497 \nL 95.325348 128.415814 \nL 93.346064 123.346419 \nL 91.864299 118.463091 \nL 90.948144 113.896597 \nL 90.655821 109.776425 \nL 91.031452 106.222417 \nL 92.101184 103.336253 \nL 93.870179 101.193866 \nL 96.320864 99.83982 \nL 99.412772 99.284504 \nL 103.08411 99.504723 \nL 107.25491 100.447365 \nL 111.83152 102.035764 \nL 116.711897 104.177487 \nL 121.791119 106.77254 \nL 126.966635 109.720927 \nL 132.142713 112.928719 \nL 137.233866 116.312232 \nL 142.167086 119.800466 \nL 146.882969 123.335759 \nL 151.335826 126.873274 \nL 155.493025 130.379661 \nL 159.333796 133.831282 \nL 162.847671 137.212309 \nL 166.032814 140.512934 \nL 168.89432 143.727801 \nL 171.442609 146.854687 \nL 173.691971 149.893448 \nL 175.659312 152.845275 \nL 177.363083 155.712103 \nL 178.822406 158.496237 \nL 180.056381 161.200063 \nL 181.083548 163.825913 \nL 181.921491 166.375958 \nL 182.586555 168.852148 \nL 183.093654 171.256195 \nL 183.456162 173.589571 \nL 183.685855 175.853486 \nL 183.785903 180.176567 \nL 183.45643 184.230173 \nL 182.736397 188.014643 \nL 181.643118 191.525176 \nL 180.956496 193.17448 \nL 180.174237 194.750435 \nL 179.293235 196.250257 \nL 178.309335 197.670444 \nL 177.217351 199.00666 \nL 176.011089 200.253585 \nL 174.683366 201.404755 \nL 173.226022 202.452381 \nL 171.62994 203.387112 \nL 169.885069 204.1978 \nL 167.980463 204.871192 \nL 165.904338 205.391624 \nL 163.644158 205.740647 \nL 161.186751 205.896645 \nL 158.518493 205.834404 \nL 155.625555 205.524689 \nL 152.494236 204.933824 \nL 149.111422 204.023334 \nL 145.465184 202.749661 \nL 141.545553 201.064094 \nL 137.345527 198.912971 \nL 132.862324 196.238295 \nL 128.098932 192.978982 \nL 123.065987 189.072937 \nL 117.783998 184.460184 \nL 112.285874 179.087382 \nL 106.619738 172.913868 \nL 100.851812 165.919444 \nL 95.069169 158.113757 \nL 89.382008 149.54683 \nL 83.924902 140.31985 \nL 78.856337 130.594524 \nL 74.355878 120.598778 \nL 70.618226 110.626088 \nL 67.843605 101.025517 \nL 66.224589 92.180779 \nL 65.929884 84.478143 \nL 67.086711 78.266245 \nL 69.764218 73.813854 \nL 73.9609 71.274146 \nL 79.598771 70.663791 \nL 86.526204 71.862941 \nL 94.529631 74.636356 \nL 103.352357 78.67094 \nL 112.7173 83.620238 \nL 122.349822 89.146394 \nL 131.997182 94.951912 \nL 150.512296 106.509475 \nL 167.056908 117.118948 \nL 181.091846 126.386082 \nL 192.576134 134.350165 \nL 197.43467 137.904394 \nL 201.764651 141.210604 \nL 209.047754 147.179498 \nL 214.848457 152.424786 \nL 219.566315 157.059601 \nL 227.101403 164.720345 \nL 230.455678 167.771171 \nL 232.122298 169.093935 \nL 233.810076 170.274846 \nL 235.537276 171.30718 \nL 237.320103 172.182906 \nL 239.17285 172.892701 \nL 241.108005 173.425939 \nL 243.136309 173.770709 \nL 245.26676 173.913838 \nL 247.506561 173.841005 \nL 249.861005 173.536824 \nL 252.3333 172.985066 \nL 254.924318 172.168967 \nL 257.632283 171.071643 \nL 260.452403 169.676634 \nL 263.376433 167.968691 \nL 266.392167 165.934676 \nL 269.482966 163.564722 \nL 272.627207 160.853608 \nL 275.797815 157.80233 \nL 278.961843 154.419796 \nL 282.080224 150.724634 \nL 285.107738 146.74691 \nL 287.993257 142.529613 \nL 290.68038 138.12968 \nL 293.108561 133.618266 \nL 295.21472 129.080082 \nL 296.935419 124.611454 \nL 298.209528 120.317075 \nL 298.981336 116.30542 \nL 299.20383 112.683024 \nL 298.841976 109.548151 \nL 297.87565 106.984381 \nL 296.301879 105.054924 \nL 294.136123 103.798421 \nL 291.41234 103.226808 \nL 288.181801 103.325542 \nL 284.510652 104.056138 \nL 280.476533 105.360612 \nL 276.164513 107.167187 \nL 271.662794 109.396354 \nL 267.05858 111.966681 \nL 262.434442 114.799714 \nL 257.865407 117.823626 \nL 253.416948 120.975477 \nL 249.143788 124.202323 \nL 245.089533 127.461252 \nL 241.28694 130.718675 \nL 237.758678 133.94925 \nL 234.518423 137.134529 \nL 231.572138 140.261611 \nL 228.919406 143.321905 \nL 226.554749 146.310013 \nL 224.468859 149.222845 \nL 222.649695 152.058892 \nL 221.08344 154.81767 \nL 219.755311 157.499316 \nL 218.650217 160.104297 \nL 217.753293 162.633183 \nL 217.050307 165.086529 \nL 216.527969 167.464751 \nL 216.174148 169.76808 \nL 215.978029 171.99648 \nL 215.9302 174.149647 \nL 216.022706 176.226932 \nL 216.249052 178.227315 \nL 216.604207 180.149363 \nL 217.084567 181.99118 \nL 217.687916 183.750312 \nL 218.413383 185.423711 \nL 219.261385 187.007615 \nL 220.233578 188.49745 \nL 221.332797 189.887721 \nL 222.563003 191.171858 \nL 223.929225 192.342054 \nL 225.437488 193.389088 \nL 227.094746 194.302116 \nL 228.908784 195.068448 \nL 230.888124 195.673293 \nL 233.041881 196.099504 \nL 235.379593 196.327292 \nL 237.910999 196.333959 \nL 240.645757 196.093637 \nL 243.593085 195.57707 \nL 246.761291 194.751478 \nL 250.157198 193.580545 \nL 253.785418 192.024603 \nL 257.647463 190.041088 \nL 261.740659 187.585376 \nL 266.056862 184.612134 \nL 270.580964 181.077343 \nL 275.289184 176.941087 \nL 280.147232 172.171283 \nL 285.108337 166.748468 \nL 290.111385 160.671508 \nL 295.079284 153.964193 \nL 299.917878 146.682123 \nL 304.515732 138.919273 \nL 308.745279 130.813015 \nL 312.465642 122.546234 \nL 315.527614 114.344937 \nL 317.780959 106.469968 \nL 319.083811 99.201964 \nL 319.313782 92.820133 \nL 318.379615 87.576591 \nL 316.231916 83.670082 \nL 312.871268 81.22359 \nL 308.352055 80.27051 \nL 302.781007 80.75267 \nL 296.310236 82.530772 \nL 289.125629 85.405084 \nL 281.432346 89.141865 \nL 273.439538 93.500187 \nL 265.346457 98.254554 \nL 257.331441 103.210545 \nL 249.544667 108.212803 \nL 242.104637 113.146383 \nL 235.097896 117.933242 \nL 228.581182 122.526156 \nL 222.585087 126.901628 \nL 217.118449 131.053159 \nL 212.172873 134.985441 \nL 207.726986 138.709824 \nL 203.750191 142.240962 \nL 200.205828 145.594513 \nL 197.053722 148.785684 \nL 194.252175 151.828396 \nL 191.759457 154.734858 \nL 187.539565 160.178662 \nL 184.09258 165.179047 \nL 174.676687 179.562381 \nL 171.999708 182.773996 \nL 170.576094 184.214642 \nL 169.076597 185.537176 \nL 167.487733 186.733984 \nL 165.796548 187.796016 \nL 163.990522 188.712595 \nL 162.057514 189.471238 \nL 159.985742 190.05747 \nL 157.763808 190.45463 \nL 155.380795 190.643656 \nL 152.82641 190.602923 \nL 150.091216 190.308086 \nL 147.166946 189.73202 \nL 144.046921 188.844834 \nL 140.726592 187.614035 \nL 137.204212 186.004955 \nL 133.481656 183.98137 \nL 129.565395 181.506594 \nL 125.467649 178.544974 \nL 121.207643 175.064012 \nL 116.813065 171.037108 \nL 112.321487 166.447063 \nL 107.781849 161.290283 \nL 103.255698 155.581584 \nL 98.818108 149.359324 \nL 94.55798 142.690392 \nL 90.577454 135.674393 \nL 86.990122 128.446015 \nL 83.917767 121.174631 \nL 81.485434 114.060008 \nL 79.814867 107.323462 \nL 79.01654 101.194343 \nL 79.180856 95.892595 \nL 80.369471 91.609302 \nL 82.60781 88.488103 \nL 85.880072 86.610585 \nL 90.127653 85.988583 \nL 95.251573 86.56505 \nL 101.118776 88.223387 \nL 107.571559 90.803369 \nL 114.438811 94.120453 \nL 121.547524 97.984951 \nL 128.733201 102.218247 \nL 135.848093 106.664099 \nL 142.766721 111.194823 \nL 149.388694 115.712708 \nL 155.639107 120.148105 \nL 161.467135 124.455391 \nL 166.843415 128.60814 \nL 171.756775 132.594226 \nL 176.210762 136.411511 \nL 180.220293 140.064321 \nL 183.808623 143.56072 \nL 187.004722 146.910584 \nL 189.841108 150.124285 \nL 192.352101 153.211859 \nL 194.572489 156.182547 \nL 196.536517 159.044555 \nL 198.277183 161.805002 \nL 201.211479 167.044492 \nL 203.600588 171.93842 \nL 207.474938 180.77994 \nL 210.151431 186.623806 \nL 212.037932 190.144284 \nL 214.115753 193.350704 \nL 215.253645 194.829241 \nL 216.471768 196.219371 \nL 217.780854 197.515905 \nL 219.191819 198.712501 \nL 220.715852 199.801473 \nL 222.364494 200.773596 \nL 224.149691 201.617856 \nL 226.083825 202.321181 \nL 228.179719 202.868136 \nL 230.450585 203.240595 \nL 232.909947 203.417369 \nL 235.571495 203.37383 \nL 238.448855 203.081522 \nL 241.555282 202.50781 \nL 244.903216 201.615562 \nL 248.503705 200.362962 \nL 252.36566 198.703514 \nL 256.494882 196.586317 \nL 260.892852 193.956767 \nL 265.555267 190.757865 \nL 270.470232 186.932296 \nL 275.616208 182.425531 \nL 280.959624 177.190162 \nL 286.452328 171.191672 \nL 292.028962 164.415721 \nL 297.604534 156.87676 \nL 303.072487 148.627621 \nL 308.303797 139.769064 \nL 313.147682 130.457849 \nL 317.434504 120.911286 \nL 320.981586 111.40583 \nL 323.602197 102.267341 \nL 325.117836 93.851564 \nL 325.373013 86.514933 \nL 324.251206 80.578514 \nL 321.689713 76.290402 \nL 317.690888 73.793998 \nL 312.327283 73.109448 \nL 305.739086 74.133182 \nL 298.1237 76.656083 \nL 289.718935 80.396133 \nL 280.782579 85.037785 \nL 271.571691 90.269543 \nL 262.324712 95.813171 \nL 244.509753 106.983989 \nL 228.508022 117.396725 \nL 214.869132 126.622403 \nL 203.666036 134.653818 \nL 198.916337 138.27022 \nL 194.679595 141.652754 \nL 190.907662 144.824691 \nL 187.550232 147.806899 \nL 181.878225 153.270686 \nL 177.280234 158.151298 \nL 166.780397 169.76762 \nL 163.574167 172.64154 \nL 161.923395 173.874977 \nL 160.217549 174.963447 \nL 158.441287 175.898281 \nL 156.580799 176.669397 \nL 154.62372 177.26526 \nL 152.559093 177.672816 \nL 150.377383 177.877496 \nL 148.070547 177.863209 \nL 145.632172 177.612397 \nL 143.057693 177.1062 \nL 140.344673 176.324653 \nL 137.493165 175.247065 \nL 134.506163 173.85255 \nL 131.390131 172.12075 \nL 128.155599 170.032787 \nL 124.817813 167.572519 \nL 121.397447 164.728059 \nL 117.921294 161.493609 \nL 114.42291 157.871562 \nL 110.943121 153.874808 \nL 107.530368 149.529103 \nL 104.240695 144.875318 \nL 101.137311 139.971249 \nL 98.289621 134.892718 \nL 95.771596 129.73352 \nL 93.659396 124.603859 \nL 92.02832 119.627008 \nL 90.949032 114.934039 \nL 90.483421 110.65686 \nL 90.680246 106.919909 \nL 91.571088 103.831525 \nL 93.167022 101.475832 \nL 95.456458 99.906421 \nL 98.404549 99.14272 \nL 101.954295 99.169677 \nL 106.02937 99.9407 \nL 110.538329 101.383535 \nL 115.379846 103.407894 \nL 120.448282 105.913817 \nL 125.63913 108.799572 \nL 130.853735 111.968248 \nL 136.003062 115.332501 \nL 141.010254 118.817406 \nL 145.812026 122.361545 \nL 150.359007 125.916729 \nL 154.615257 129.446785 \nL 158.557142 132.925823 \nL 162.171839 136.336302 \nL 165.455649 139.667196 \nL 168.412277 142.912306 \nL 171.05117 146.068874 \nL 173.386011 149.136465 \nL 175.433406 152.116135 \nL 177.211749 155.0098 \nL 178.740301 157.819811 \nL 180.038445 160.54866 \nL 181.125116 163.198793 \nL 182.018365 165.772509 \nL 182.735051 168.271884 \nL 183.290634 170.698775 \nL 183.699042 173.054775 \nL 183.972606 175.341244 \nL 184.156481 179.709751 \nL 183.909104 183.810203 \nL 183.27339 187.644347 \nL 182.270386 191.209126 \nL 181.632257 192.887949 \nL 180.901313 194.495472 \nL 180.074885 196.029314 \nL 179.149256 197.486445 \nL 178.119675 198.863067 \nL 176.980388 200.154493 \nL 175.724647 201.354996 \nL 174.344727 202.45763 \nL 172.831936 203.454032 \nL 171.176635 204.33419 \nL 169.368257 205.086157 \nL 167.395357 205.695762 \nL 165.245667 206.146265 \nL 162.906194 206.417968 \nL 160.363361 206.487804 \nL 157.603207 206.32891 \nL 154.611651 205.910183 \nL 151.374888 205.195858 \nL 147.879878 204.145168 \nL 144.115031 202.712103 \nL 140.071044 200.845416 \nL 135.74203 198.488944 \nL 131.12687 195.582439 \nL 126.230933 192.06308 \nL 121.068077 187.867947 \nL 115.663061 182.937653 \nL 110.054229 177.221495 \nL 104.296421 170.684266 \nL 98.463941 163.314812 \nL 92.653245 155.136139 \nL 86.984961 146.216464 \nL 81.604643 136.679982 \nL 76.681533 126.715441 \nL 72.404586 116.579945 \nL 68.975082 106.595114 \nL 66.595408 97.132836 \nL 65.454307 88.589341 \nL 65.709484 81.348583 \nL 67.469659 75.739257 \nL 70.778755 71.992906 \nL 75.605335 70.212079 \nL 81.839964 70.356877 \nL 89.301736 72.25374 \nL 97.753438 75.624856 \nL 106.922899 80.13094 \nL 116.526799 85.417072 \nL 126.292989 91.152277 \nL 145.380168 102.913984 \nL 162.752553 113.940975 \nL 177.680517 123.642996 \nL 190.000025 131.973407 \nL 199.903941 139.113966 \nL 207.762466 145.288996 \nL 214.002356 150.686413 \nL 219.038244 155.437723 \nL 228.648916 164.909563 \nL 232.017127 167.772925 \nL 233.703754 168.99629 \nL 235.418807 170.073163 \nL 237.179516 170.996213 \nL 239.00106 171.756831 \nL 240.896691 172.345133 \nL 242.877815 172.749998 \nL 244.954024 172.959106 \nL 247.133078 172.958995 \nL 249.420809 172.735191 \nL 251.820995 172.272402 \nL 254.33513 171.554773 \nL 256.96217 170.566272 \nL 259.698188 169.291207 \nL 262.535981 167.71489 \nL 265.464642 165.824498 \nL 268.469074 163.610112 \nL 271.529521 161.065942 \nL 274.621086 158.191793 \nL 277.713381 154.994619 \nL 280.77023 151.490191 \nL 283.749584 147.70475 \nL 286.603726 143.676432 \nL 289.279783 139.456326 \nL 291.720655 135.108961 \nL 293.866441 130.711863 \nL 295.656354 126.354085 \nL 297.031114 122.133527 \nL 297.935756 118.15295 \nL 298.322688 114.514972 \nL 298.154812 111.316223 \nL 297.40837 108.641407 \nL 296.075286 106.557667 \nL 294.164662 105.1102 \nL 291.703213 104.319577 \nL 288.734553 104.181165 \nL 285.317299 104.666748 \nL 281.522159 105.728098 \nL 277.428322 107.301819 \nL 273.119481 109.31499 \nL 268.679865 111.690692 \nL 264.190594 114.352924 \nL 259.726693 117.230505 \nL 255.35484 120.259747 \nL 251.13193 123.385901 \nL 247.104414 126.563636 \nL 243.308296 129.756671 \nL 239.769665 132.936943 \nL 236.505601 136.083438 \nL 233.525294 139.180966 \nL 230.831302 142.218935 \nL 228.420799 145.190287 \nL 226.286779 148.090534 \nL 224.419148 150.917054 \nL 222.805706 153.668458 \nL 221.432974 156.344152 \nL 220.286892 158.944007 \nL 219.353384 161.4681 \nL 218.618805 163.916567 \nL 218.070281 166.28945 \nL 217.695963 168.58664 \nL 217.485207 170.807787 \nL 217.428688 172.952251 \nL 217.518472 175.019064 \nL 217.74805 177.006862 \nL 218.112335 178.913848 \nL 218.607654 180.737716 \nL 219.231701 182.475596 \nL 219.983509 184.123954 \nL 220.863391 185.678508 \nL 221.872891 187.134115 \nL 223.014721 188.484636 \nL 224.292698 189.72279 \nL 225.71168 190.840001 \nL 227.277482 191.826194 \nL 228.996786 192.669603 \nL 230.877039 193.35655 \nL 232.926318 193.871188 \nL 235.153163 194.195272 \nL 237.566377 194.307897 \nL 240.174753 194.185271 \nL 242.986755 193.800513 \nL 246.01009 193.123525 \nL 249.251191 192.120958 \nL 252.714558 190.756367 \nL 256.401972 188.990568 \nL 260.311524 186.782355 \nL 264.436481 184.089624 \nL 268.763924 180.871087 \nL 273.273271 177.088635 \nL 277.934562 172.710541 \nL 282.706736 167.715546 \nL 287.535874 162.097833 \nL 292.353634 155.87278 \nL 297.076131 149.083164 \nL 301.603489 141.805241 \nL 305.820505 134.153777 \nL 309.598726 126.284905 \nL 312.80037 118.395452 \nL 315.284262 110.717347 \nL 316.913782 103.506305 \nL 317.566495 97.024633 \nL 317.144686 91.51944 \nL 315.585594 87.198853 \nL 312.869902 84.209953 \nL 309.026946 82.622695 \nL 304.135509 82.423234 \nL 298.319644 83.518217 \nL 291.739918 85.74936 \nL 284.581255 88.915021 \nL 277.039188 92.794522 \nL 269.306399 97.170674 \nL 261.561254 101.847218 \nL 253.959347 106.659739 \nL 246.628473 111.480043 \nL 239.66679 116.215405 \nL 233.143576 120.804437 \nL 227.101818 125.211157 \nL 221.561866 129.418807 \nL 216.525523 133.424135 \nL 211.980107 137.232625 \nL 207.902183 140.854826 \nL 204.260824 144.303705 \nL 201.020307 147.592835 \nL 198.142296 150.735269 \nL 195.587517 153.742909 \nL 193.317021 156.626187 \nL 189.47976 162.053694 \nL 186.352554 167.071534 \nL 182.476502 173.899431 \nL 179.006202 179.926717 \nL 176.663134 183.494732 \nL 174.15006 186.680547 \nL 172.795128 188.119772 \nL 171.357285 189.448896 \nL 169.824001 190.660647 \nL 168.182973 191.746311 \nL 166.42203 192.695555 \nL 164.529077 193.496222 \nL 162.492078 194.134091 \nL 160.299081 194.592635 \nL 157.938284 194.852783 \nL 155.398173 194.89264 \nL 152.667737 194.687278 \nL 149.73675 194.208537 \nL 146.596175 193.424913 \nL 143.238677 192.301563 \nL 139.659296 190.80051 \nL 135.856263 188.881105 \nL 131.832008 186.500857 \nL 127.594377 183.616745 \nL 123.158024 180.187134 \nL 118.545999 176.174457 \nL 113.79151 171.548762 \nL 108.939709 166.292192 \nL 104.049464 160.404365 \nL 99.194839 153.908534 \nL 94.466103 146.857982 \nL 89.969895 139.342138 \nL 85.828134 131.491247 \nL 82.175338 123.478368 \nL 79.153987 115.517215 \nL 76.907739 107.854615 \nL 75.572622 100.756799 \nL 75.266713 94.489897 \nL 76.079196 89.296301 \nL 78.060256 85.370157 \nL 81.213248 82.836171 \nL 85.490764 81.735891 \nL 90.795546 82.024755 \nL 96.986518 83.580458 \nL 103.889238 86.2212 \nL 111.309234 89.729621 \nL 119.046334 93.877857 \nL 126.907942 98.449247 \nL 134.719796 103.253969 \nL 142.333391 108.137637 \nL 149.629833 112.983586 \nL 156.520614 117.710451 \nL 162.945989 122.266907 \nL 168.871774 126.625264 \nL 174.285343 130.775143 \nL 179.191358 134.717898 \nL 183.607711 138.462146 \nL 187.561861 142.020403 \nL 191.087725 145.406734 \nL 194.223122 148.635207 \nL 197.007768 151.718959 \nL 199.481742 154.669705 \nL 201.684365 157.497562 \nL 205.424631 162.816986 \nL 208.504623 167.727364 \nL 215.973902 180.225202 \nL 218.436665 183.647474 \nL 219.738542 185.208907 \nL 221.106263 186.664446 \nL 222.553161 188.008121 \nL 224.092113 189.232704 \nL 225.735663 190.329556 \nL 227.49612 191.288434 \nL 229.385616 192.097305 \nL 231.416129 192.742108 \nL 233.599471 193.206554 \nL 235.94721 193.471866 \nL 238.470532 193.516559 \nL 241.180053 193.316221 \nL 244.085515 192.843367 \nL 247.195407 192.067342 \nL 250.516439 190.954372 \nL 254.052906 189.467798 \nL 257.805875 187.568551 \nL 261.772211 185.216034 \nL 265.943406 182.369429 \nL 270.304238 178.989585 \nL 274.831239 175.04167 \nL 279.491073 170.498582 \nL 284.2388 165.345268 \nL 289.016295 159.583864 \nL 293.750868 153.239438 \nL 298.354414 146.366005 \nL 302.723391 139.052116 \nL 306.739946 131.425004 \nL 310.274634 123.652184 \nL 313.190908 115.939109 \nL 315.351646 108.521812 \nL 316.627494 101.653786 \nL 316.906625 95.58769 \nL 316.104942 90.553298 \nL 314.175525 86.734812 \nL 311.11586 84.251163 \nL 306.971473 83.143459 \nL 301.83503 83.372006 \nL 295.840731 84.823986 \nL 289.1546 87.330062 \nL 281.962017 90.68638 \nL 274.454341 94.677812 \nL 266.816405 99.098291 \nL 259.216248 103.765708 \nL 251.797967 108.530429 \nL 244.677823 113.277882 \nL 237.943283 117.926805 \nL 231.654339 122.424595 \nL 225.846364 126.741512 \nL 220.533819 130.864809 \nL 215.714231 134.793473 \nL 211.372057 138.533966 \nL 207.482187 142.09694 \nL 204.012951 145.494919 \nL 200.928618 148.74077 \nL 198.191365 151.846702 \nL 195.762813 154.823775 \nL 193.605141 157.681663 \nL 189.958502 163.07134 \nL 186.98418 168.065492 \nL 182.166624 176.978321 \nL 179.967171 180.918505 \nL 177.716534 184.509551 \nL 175.296586 187.733068 \nL 173.989682 189.197556 \nL 172.601339 190.556829 \nL 171.119311 191.804137 \nL 169.531496 192.931365 \nL 167.82585 193.928836 \nL 165.990312 194.78511 \nL 164.01278 195.486753 \nL 161.88111 196.018071 \nL 159.583182 196.360857 \nL 157.106997 196.494096 \nL 154.44086 196.39371 \nL 151.57363 196.032311 \nL 148.495077 195.379006 \nL 145.196353 194.399322 \nL 141.670595 193.055259 \nL 137.913702 191.3056 \nL 133.925279 189.106519 \nL 129.709803 186.412638 \nL 125.277989 183.17869 \nL 120.648378 179.361848 \nL 115.849115 174.924995 \nL 110.919865 169.84093 \nL 105.913744 164.097645 \nL 100.899144 157.704516 \nL 95.96115 150.699159 \nL 91.202273 143.154357 \nL 86.74211 135.18411 \nL 82.715475 126.947606 \nL 79.268559 118.649423 \nL 76.552897 110.534574 \nL 74.716966 102.877031 \nL 73.895816 95.961545 \nL 74.19947 90.05978 \nL 75.701394 85.403602 \nL 78.428668 82.159778 \nL 82.355639 80.410863 \nL 87.402474 80.146556 \nL 93.439254 81.267696 \nL 100.295349 83.602136 \nL 107.772763 86.929011 \nL 115.661406 91.006253 \nL 123.754077 95.596154 \nL 131.859233 100.485084 \nL 139.810357 105.495601 \nL 147.471432 110.491014 \nL 154.738826 115.374188 \nL 161.540284 120.082475 \nL 167.831932 124.580895 \nL 173.594131 128.85501 \nL 178.826931 132.904528 \nL 183.5456 136.738051 \nL 187.776559 140.369081 \nL 191.553889 143.813184 \nL 194.91645 147.086128 \nL 197.905591 150.20272 \nL 200.563408 153.1762 \nL 202.931445 156.017987 \nL 206.956497 161.342885 \nL 210.274876 166.233289 \nL 217.047789 176.725125 \nL 219.64143 180.23255 \nL 220.988955 181.829796 \nL 222.391322 183.316855 \nL 223.863118 184.687904 \nL 225.418174 185.935876 \nL 227.069718 187.052308 \nL 228.830477 188.027185 \nL 230.712757 188.848776 \nL 232.728477 189.50344 \nL 234.889162 189.975437 \nL 237.205873 190.246731 \nL 239.689093 190.2968 \nL 242.34852 190.102495 \nL 245.192791 189.637935 \nL 248.229113 188.874498 \nL 251.46276 187.780937 \nL 254.896477 186.323687 \nL 258.529706 184.46743 \nL 262.357684 182.175987 \nL 266.370376 179.413659 \nL 270.551249 176.147066 \nL 274.875937 172.347661 \nL 279.310787 167.99489 \nL 283.811443 163.080101 \nL 288.321503 157.61106 \nL 292.771495 151.616938 \nL 297.07834 145.153317 \nL 301.145582 138.306654 \nL 304.864714 131.197352 \nL 308.117849 123.980452 \nL 310.781936 116.842925 \nL 312.73467 109.996644 \nL 313.861882 103.666769 \nL 314.065955 98.075903 \nL 313.274519 93.425481 \nL 311.44838 89.876871 \nL 308.587467 87.53521 \nL 304.733725 86.439069 \nL 299.970272 86.557932 \nL 294.416575 87.798326 \nL 288.220252 90.017224 \nL 281.546546 93.040063 \nL 274.566954 96.679966 \nL 267.448412 100.755028 \nL 260.344282 105.101447 \nL 253.387833 109.581562 \nL 246.688423 114.087016 \nL 240.330216 118.538062 \nL 234.372903 122.880326 \nL 228.853858 127.080288 \nL 223.791157 131.120423 \nL 219.18694 134.99473 \nL 215.030794 138.704937 \nL 211.302878 142.257498 \nL 207.976678 145.661412 \nL 205.021334 148.926667 \nL 202.403528 152.063252 \nL 200.088966 155.080556 \nL 198.043506 157.987061 \nL 196.233972 160.790209 \nL 193.198012 166.111037 \nL 190.75173 171.083069 \nL 187.769289 177.944377 \nL 184.290876 186.050865 \nL 182.501936 189.665445 \nL 180.552346 192.978476 \nL 178.356471 195.971599 \nL 177.140076 197.339191 \nL 175.830668 198.614141 \nL 174.417438 199.790038 \nL 172.889247 200.859111 \nL 171.234552 201.812026 \nL 169.441355 202.637631 \nL 167.497171 203.322687 \nL 165.389037 203.851549 \nL 163.10355 204.205817 \nL 160.626956 204.363965 \nL 157.945294 204.300941 \nL 155.04464 203.987764 \nL 151.911405 203.391157 \nL 148.532792 202.473203 \nL 144.897385 201.191152 \nL 140.995913 199.497386 \nL 136.822243 197.339702 \nL 132.374612 194.662016 \nL 127.657154 191.405671 \nL 122.681741 187.51158 \nL 117.470112 182.9234 \nL 112.056337 177.592038 \nL 106.489471 171.481591 \nL 100.83626 164.576918 \nL 95.183718 156.892631 \nL 89.641094 148.483061 \nL 84.340836 139.452239 \nL 79.437885 129.962305 \nL 75.106624 120.238239 \nL 71.534836 110.566231 \nL 68.91427 101.28337 \nL 67.427868 92.756939 \nL 67.234277 85.353605 \nL 68.451324 79.40157 \nL 71.140595 75.151381 \nL 75.296041 72.743256 \nL 80.838953 72.188672 \nL 87.62115 73.371116 \nL 95.436276 76.066487 \nL 104.037669 79.978105 \nL 113.159768 84.778126 \nL 122.539497 90.146407 \nL 131.934541 95.800025 \nL 149.978045 107.109152 \nL 166.124954 117.568071 \nL 179.845531 126.776899 \nL 191.089698 134.75354 \nL 195.850984 138.333764 \nL 200.096034 141.67611 \nL 203.87458 144.804724 \nL 210.238372 150.503334 \nL 215.345876 155.56269 \nL 221.442359 162.126799 \nL 226.552413 167.557934 \nL 229.801106 170.543666 \nL 231.447294 171.834883 \nL 233.133489 172.983602 \nL 234.876335 173.982098 \nL 236.690726 174.821297 \nL 238.58992 175.490751 \nL 240.585621 175.978581 \nL 242.688 176.271489 \nL 244.905653 176.354769 \nL 247.245517 176.212364 \nL 249.712699 175.826963 \nL 252.310252 175.180252 \nL 255.038863 174.253175 \nL 257.896473 173.026438 \nL 260.877824 171.481106 \nL 263.973944 169.599458 \nL 267.17155 167.366051 \nL 270.452441 164.769048 \nL 273.792862 161.801818 \nL 277.162921 158.464776 \nL 280.526089 154.767435 \nL 283.838873 150.730518 \nL 287.050726 146.388032 \nL 290.104357 141.789038 \nL 292.93645 136.998842 \nL 295.479005 132.099294 \nL 297.661254 127.187843 \nL 299.412276 122.375075 \nL 300.664191 117.780611 \nL 301.355833 113.52734 \nL 301.436667 109.734397 \nL 300.870602 106.509441 \nL 299.639309 103.94109 \nL 297.744623 102.09247 \nL 295.209734 100.996823 \nL 292.078821 100.655868 \nL 288.415225 101.041013 \nL 284.298116 102.097477 \nL 279.818196 103.750331 \nL 275.072724 105.911774 \nL 270.16046 108.488452 \nL 265.177025 111.388069 \nL 260.210986 114.524576 \nL 255.340912 117.821651 \nL 250.63353 121.214632 \nL 246.142863 124.650995 \nL 241.910241 128.08976 \nL 237.964986 131.500256 \nL 234.325576 134.860507 \nL 231.001083 138.155564 \nL 227.992729 141.375888 \nL 225.295443 144.515972 \nL 222.899329 147.573175 \nL 220.790998 150.546783 \nL 218.954716 153.437323 \nL 217.373385 156.246056 \nL 216.029343 158.9746 \nL 214.905005 161.624716 \nL 213.983354 164.198108 \nL 213.248318 166.69635 \nL 212.685027 169.120823 \nL 212.279995 171.472685 \nL 212.021224 173.752837 \nL 211.898265 175.961918 \nL 211.902229 178.100287 \nL 212.025772 180.168019 \nL 212.263059 182.164859 \nL 212.609717 184.090211 \nL 213.062778 185.943097 \nL 213.620621 187.722102 \nL 214.282918 189.425327 \nL 215.050574 191.050292 \nL 215.925684 192.593871 \nL 216.911484 194.052181 \nL 218.012314 195.420459 \nL 219.233577 196.692918 \nL 220.58171 197.862595 \nL 222.064143 198.921145 \nL 223.689262 199.858631 \nL 225.466359 200.663286 \nL 227.405568 201.321219 \nL 229.517778 201.816121 \nL 231.814519 202.128927 \nL 234.307796 202.237462 \nL 237.009879 202.11607 \nL 239.932999 201.735259 \nL 243.088974 201.061391 \nL 246.488691 200.056423 \nL 250.141457 198.677821 \nL 254.054166 196.878675 \nL 258.230253 194.60814 \nL 262.668412 191.812371 \nL 267.361028 188.436077 \nL 272.29235 184.424917 \nL 277.436352 179.728976 \nL 282.754402 174.307472 \nL 288.192753 168.134852 \nL 293.680099 161.208271 \nL 299.12541 153.556263 \nL 304.4165 145.247888 \nL 309.419707 136.401404 \nL 313.981387 127.190789 \nL 317.931765 117.848029 \nL 321.091641 108.658895 \nL 323.282239 99.95027 \nL 324.337884 92.06803 \nL 324.120733 85.346657 \nL 322.535744 80.07391 \nL 319.543874 76.456537 \nL 315.170905 74.593953 \nL 309.509862 74.466236 \nL 302.715968 75.939706 \nL 294.994488 78.789087 \nL 286.583317 82.731136 \nL 277.733145 87.4619 \nL 268.688373 92.69027 \nL 259.671297 98.162444 \nL 242.438303 109.080057 \nL 227.078754 119.210384 \nL 214.053721 128.202057 \nL 208.436733 132.268307 \nL 203.388846 136.070547 \nL 198.873937 139.631009 \nL 194.848661 142.97241 \nL 191.265624 146.116121 \nL 188.0758 149.081163 \nL 182.681755 154.537407 \nL 178.297441 159.437917 \nL 168.183683 171.225781 \nL 165.053468 174.188047 \nL 163.434237 175.471474 \nL 161.756076 176.613908 \nL 160.003776 177.60676 \nL 158.163496 178.439973 \nL 156.222667 179.101976 \nL 154.169964 179.579615 \nL 151.995302 179.858065 \nL 149.689904 179.920825 \nL 147.24644 179.749726 \nL 144.659236 179.325005 \nL 141.92455 178.625487 \nL 139.040947 177.628847 \nL 136.009753 176.312103 \nL 132.835592 174.65225 \nL 129.52705 172.62715 \nL 126.097348 170.216743 \nL 122.565151 167.404562 \nL 118.955345 164.179589 \nL 115.299832 160.538494 \nL 111.638239 156.488107 \nL 108.01843 152.048121 \nL 104.496729 147.253804 \nL 101.137767 142.158372 \nL 98.013723 136.834759 \nL 95.202928 131.376318 \nL 92.787604 125.895919 \nL 90.850802 120.523152 \nL 89.472497 115.399306 \nL 88.725083 110.670176 \nL 88.668461 106.477069 \nL 89.345265 102.946867 \nL 90.776655 100.182342 \nL 92.959329 98.253907 \nL 95.864111 97.194344 \nL 99.436551 96.997097 \nL 103.599496 97.618657 \nL 108.25744 98.984486 \nL 113.30218 100.99747 \nL 118.619122 103.547583 \nL 124.093534 106.521242 \nL 129.616157 109.809359 \nL 135.087734 113.313217 \nL 140.42214 116.948113 \nL 145.548204 120.644824 \nL 150.410259 124.349403 \nL 154.967677 128.021814 \nL 159.193676 131.633882 \nL 163.073664 135.167055 \nL 166.603321 138.610188 \nL 169.786666 141.957583 \nL 172.634185 145.207367 \nL 175.161128 148.360171 \nL 177.386026 151.418201 \nL 179.32943 154.384503 \nL 181.012879 157.26251 \nL 182.458084 160.055713 \nL 183.686292 162.767474 \nL 184.717818 165.400944 \nL 185.571714 167.958976 \nL 186.265548 170.444157 \nL 186.815274 172.858796 \nL 187.537843 177.484398 \nL 187.833697 181.849498 \nL 187.771763 185.96463 \nL 187.398036 189.837391 \nL 186.738276 193.472398 \nL 185.800449 196.870769 \nL 184.576638 200.029232 \nL 183.044312 202.9387 \nL 182.151584 204.295134 \nL 181.166947 205.582183 \nL 180.083655 206.795999 \nL 178.894065 207.931805 \nL 177.589621 208.98373 \nL 176.160825 209.944606 \nL 174.597221 210.805746 \nL 172.887376 211.556675 \nL 171.018874 212.184808 \nL 168.978327 212.675107 \nL 166.751407 213.009664 \nL 164.322908 213.167233 \nL 161.676878 213.122737 \nL 158.796786 212.846696 \nL 155.665797 212.304671 \nL 152.26715 211.456681 \nL 148.584696 210.256671 \nL 144.603601 208.652124 \nL 140.311315 206.583873 \nL 135.698789 203.986283 \nL 130.762071 200.788011 \nL 125.504278 196.913585 \nL 119.938012 192.286127 \nL 114.088257 186.831586 \nL 107.995713 180.484861 \nL 101.720469 173.198201 \nL 95.345811 164.951965 \nL 88.981816 155.76766 \nL 82.768165 145.72241 \nL 76.87539 134.963363 \nL 71.503626 123.719329 \nL 66.877742 112.306052 \nL 63.237971 101.120948 \nL 60.825357 90.623304 \nL 59.862455 81.29828 \nL 60.530712 73.606372 \nL 62.947333 67.925252 \nL 67.145701 64.495437 \nL 73.06369 63.382965 \nL 80.543192 64.470097 \nL 89.342168 67.477542 \nL 99.157587 72.013035 \nL 109.654994 77.633089 \nL 120.499189 83.902937 \nL 142.03555 96.951238 \nL 179.036572 119.538942 \nL 199.231372 131.915321 \nL 209.368929 138.395162 \nL 217.369567 143.808748 \nL 223.71862 148.379712 \nL 236.991098 158.199609 \nL 240.53698 160.309062 \nL 242.27259 161.142113 \nL 244.00952 161.821631 \nL 245.76374 162.342046 \nL 247.548492 162.696982 \nL 249.374423 162.879423 \nL 251.249682 162.881875 \nL 253.179983 162.696574 \nL 255.168599 162.315728 \nL 257.216345 161.731786 \nL 259.32151 160.937816 \nL 261.479759 159.927893 \nL 263.684012 158.69758 \nL 265.924317 157.244494 \nL 268.187719 155.568897 \nL 270.458157 153.674402 \nL 272.716382 151.568627 \nL 274.939982 149.263919 \nL 277.103438 146.777988 \nL 279.178364 144.134437 \nL 281.133853 141.363133 \nL 282.936995 138.500308 \nL 284.553612 135.588328 \nL 285.949161 132.675071 \nL 287.089838 129.812875 \nL 287.943815 127.057017 \nL 288.482609 124.463804 \nL 288.682455 122.088323 \nL 288.525667 119.982038 \nL 288.001796 118.190346 \nL 287.108539 116.750423 \nL 285.85232 115.689464 \nL 284.248409 115.02351 \nL 282.320608 114.75704 \nL 280.100485 114.883293 \nL 277.626194 115.385325 \nL 274.940968 116.23756 \nL 272.091441 117.407845 \nL 269.125878 118.859544 \nL 266.092452 120.553702 \nL 263.037675 122.450948 \nL 260.00511 124.513077 \nL 257.034325 126.704278 \nL 254.160195 128.991923 \nL 251.412503 131.34702 \nL 248.81583 133.74434 \nL 246.389668 136.162317 \nL 244.148718 138.582762 \nL 242.103324 140.990504 \nL 240.260008 143.372958 \nL 238.622022 145.719685 \nL 237.189934 148.022001 \nL 235.96217 150.272582 \nL 234.935545 152.465128 \nL 234.10573 154.594088 \nL 233.46767 156.654395 \nL 233.015934 158.641274 \nL 232.745023 160.550048 \nL 232.649605 162.375994 \nL 232.724704 164.114206 \nL 232.965851 165.759465 \nL 233.369178 167.306134 \nL 233.931478 168.748067 \nL 234.650232 170.078476 \nL 235.523606 171.289861 \nL 236.550416 172.373895 \nL 237.730063 173.321347 \nL 239.062445 174.121975 \nL 240.547826 174.764446 \nL 242.186705 175.236303 \nL 243.979619 175.523889 \nL 245.926922 175.612355 \nL 248.028535 175.485685 \nL 250.283633 175.126798 \nL 252.690297 174.517738 \nL 255.245095 173.639943 \nL 257.942632 172.474681 \nL 260.775025 171.003603 \nL 263.731336 169.209536 \nL 266.796944 167.07746 \nL 269.952934 164.595744 \nL 273.175427 161.757602 \nL 276.434999 158.562812 \nL 279.696164 155.019609 \nL 282.917026 151.14663 \nL 286.049153 146.974878 \nL 289.037797 142.549384 \nL 291.822536 137.930406 \nL 294.33842 133.193792 \nL 296.517717 128.430272 \nL 298.29226 123.743357 \nL 299.596364 119.245737 \nL 300.370206 115.054179 \nL 300.563464 111.283136 \nL 300.13893 108.03766 \nL 299.075695 105.406233 \nL 297.371611 103.454554 \nL 295.044605 102.220988 \nL 292.132665 101.71446 \nL 288.69239 101.91496 \nL 284.796189 102.776747 \nL 280.528426 104.233563 \nL 275.980864 106.205184 \nL 271.247938 108.604249 \nL 266.422239 111.342601 \nL 261.590657 114.336525 \nL 256.831356 117.510496 \nL 252.211726 120.799345 \nL 247.787316 124.149184 \nL 243.601594 127.517125 \nL 239.68641 130.870343 \nL 236.062954 134.184685 \nL 232.743031 137.443129 \nL 229.730496 140.6343 \nL 227.022726 143.751079 \nL 224.612042 146.789466 \nL 222.487006 149.74762 \nL 220.633576 152.625158 \nL 219.036092 155.422575 \nL 217.678092 158.140876 \nL 216.542986 160.781294 \nL 215.614567 163.34509 \nL 214.877421 165.833456 \nL 214.317208 168.247405 \nL 213.920869 170.587746 \nL 213.676766 172.855041 \nL 213.574743 175.04958 \nL 213.606165 177.171345 \nL 213.763924 179.220004 \nL 214.042405 181.194869 \nL 214.437451 183.094848 \nL 214.946319 184.918418 \nL 215.567622 186.663552 \nL 216.301281 188.327637 \nL 217.148464 189.907402 \nL 218.111544 191.398817 \nL 219.194045 192.796967 \nL 220.400593 194.09592 \nL 221.736877 195.28856 \nL 223.209598 196.366408 \nL 224.826413 197.319412 \nL 226.59587 198.135707 \nL 228.527335 198.801363 \nL 230.630883 199.300092 \nL 232.917165 199.612936 \nL 235.397232 199.71795 \nL 238.082302 199.589874 \nL 240.983445 199.199829 \nL 244.111177 198.515062 \nL 247.474952 197.49877 \nL 251.082492 196.110104 \nL 254.938959 194.304368 \nL 259.045916 192.033582 \nL 263.400084 189.247502 \nL 267.991835 185.895262 \nL 272.803425 181.927832 \nL 277.807027 177.301455 \nL 282.962543 171.982236 \nL 288.215364 165.951944 \nL 293.494211 159.214998 \nL 298.709347 151.806369 \nL 303.751499 143.799697 \nL 308.491962 135.31468 \nL 312.7844 126.522187 \nL 316.468839 117.645281 \nL 319.378274 108.954111 \nL 321.348033 100.753274 \nL 322.227566 93.360975 \nL 321.893764 87.081217 \nL 320.264327 82.172482 \nL 317.309185 78.817849 \nL 313.057862 77.102686 \nL 307.601066 77.005161 \nL 301.085658 78.401984 \nL 293.703453 81.088329 \nL 285.67548 84.807484 \nL 277.234237 89.283563 \nL 268.606606 94.25098 \nL 259.999604 99.476267 \nL 251.590436 104.770403 \nL 235.896998 115.045971 \nL 222.237231 124.445438 \nL 216.256114 128.755135 \nL 210.839672 132.808655 \nL 205.966513 136.6205 \nL 201.604264 140.209119 \nL 197.713303 143.594046 \nL 194.249766 146.794089 \nL 191.167874 149.826294 \nL 188.421681 152.705467 \nL 183.75891 158.05201 \nL 179.928902 162.906031 \nL 172.207997 173.095457 \nL 169.299585 176.395102 \nL 167.799278 177.866981 \nL 166.245235 179.21281 \nL 164.621861 180.425421 \nL 162.914676 181.496265 \nL 161.110198 182.415279 \nL 159.195851 183.170789 \nL 157.159919 183.749367 \nL 154.991559 184.135704 \nL 152.680864 184.312517 \nL 150.21899 184.260476 \nL 147.59836 183.958151 \nL 144.812946 183.382085 \nL 141.85865 182.506955 \nL 138.733779 181.305855 \nL 135.43962 179.750842 \nL 131.981152 177.813671 \nL 128.367847 175.466893 \nL 124.614589 172.685321 \nL 120.742685 169.447942 \nL 116.780891 165.74029 \nL 112.76646 161.557332 \nL 108.746079 156.906706 \nL 104.776551 151.812286 \nL 100.925147 146.317728 \nL 97.269391 140.489613 \nL 93.896076 134.419694 \nL 90.899363 128.225557 \nL 88.377786 122.049088 \nL 86.430107 116.052165 \nL 85.150123 110.409241 \nL 84.620658 105.297026 \nL 84.907227 100.881928 \nL 86.052002 97.306753 \nL 88.068864 94.678306 \nL 90.940265 93.057961 \nL 94.616545 92.456921 \nL 99.017915 92.836907 \nL 104.039103 94.116332 \nL 109.556004 96.180692 \nL 115.43366 98.895356 \nL 121.53447 102.118559 \nL 127.725813 105.712875 \nL 133.886285 109.553822 \nL 139.910189 113.535224 \nL 145.710175 117.57146 \nL 151.218158 121.597189 \nL 156.384816 125.565428 \nL 161.17811 129.444674 \nL 165.581128 133.215691 \nL 169.589649 136.868493 \nL 173.209654 140.399665 \nL 176.454949 143.81017 \nL 179.345041 147.103694 \nL 181.9033 150.285405 \nL 184.155419 153.36111 \nL 186.128185 156.33671 \nL 187.848509 159.217868 \nL 189.342697 162.00981 \nL 190.635931 164.717271 \nL 191.751906 167.344501 \nL 193.538224 172.372881 \nL 194.85558 177.120377 \nL 195.829071 181.607414 \nL 196.854667 187.886057 \nL 197.767024 195.48645 \nL 199.239675 208.37937 \nL 199.929559 212.515482 \nL 200.801157 216.307853 \nL 201.520466 218.653044 \nL 202.381375 220.854764 \nL 203.415981 222.912768 \nL 204.662861 224.823284 \nL 206.168705 226.577561 \nL 207.990205 228.1597 \nL 210.196226 229.543495 \nL 211.468881 230.148894 \nL 212.870264 230.687752 \nL 214.413537 231.151456 \nL 216.113113 231.529452 \nL 217.984736 231.808832 \nL 220.04555 231.973873 \nL 222.314141 232.00547 \nL 224.810561 231.880482 \nL 227.556294 231.570971 \nL 230.574166 231.043328 \nL 233.888166 230.257305 \nL 237.523114 229.164932 \nL 241.504201 227.70941 \nL 245.856252 225.824012 \nL 250.602707 223.431102 \nL 255.764204 220.4415 \nL 261.356657 216.754418 \nL 267.388708 212.258399 \nL 273.85844 206.833778 \nL 280.74922 200.357402 \nL 288.024611 192.710396 \nL 295.622373 183.789973 \nL 303.447753 173.526036 \nL 311.366475 161.903013 \nL 319.198269 148.986329 \nL 326.712275 134.951323 \nL 333.626099 120.110019 \nL 339.610843 104.928382 \nL 344.30449 90.024291 \nL 347.335328 76.136153 \nL 348.355793 64.055594 \nL 347.083901 54.526732 \nL 343.346597 48.127668 \nL 337.115907 45.162506 \nL 328.528039 45.597291 \nL 317.878271 49.064264 \nL 305.590117 54.936774 \nL 292.1649 62.451886 \nL 278.123311 70.842341 \nL 250.064312 87.744531 \nL 236.780736 95.417281 \nL 224.324717 102.280488 \nL 212.831826 108.271911 \nL 202.365067 113.408528 \nL 192.93224 117.753977 \nL 184.502271 121.394322 \nL 177.018936 124.422134 \nL 170.411574 126.92695 \nL 159.514499 130.684327 \nL 151.198594 133.201038 \nL 144.915612 134.865003 \nL 138.337222 136.337928 \nL 129.837217 138.015764 \nL 129.620347 138.251122 \nL 129.596241 138.532876 \nL 129.804534 139.052891 \nL 131.118499 141.590769 \nL 131.24296 142.438244 \nL 131.109102 142.919552 \nL 130.773949 143.217339 \nL 130.253698 143.298448 \nL 129.583209 143.145604 \nL 128.813701 142.760586 \nL 127.74601 141.929025 \nL 126.790372 140.842633 \nL 126.119284 139.674774 \nL 125.88863 138.869259 \nL 125.933184 138.220283 \nL 126.121037 137.911478 \nL 126.430422 137.721417 \nL 126.850318 137.660785 \nL 127.649898 137.820731 \nL 128.585385 138.269675 \nL 129.567467 138.967669 \nL 130.502188 139.851595 \nL 131.300796 140.842743 \nL 131.887999 141.854506 \nL 132.20779 142.79931 \nL 132.226879 143.594412 \nL 132.067071 144.004718 \nL 131.772494 144.29743 \nL 131.351323 144.45763 \nL 130.816408 144.474395 \nL 129.839851 144.218296 \nL 128.723311 143.628266 \nL 127.560715 142.736771 \nL 126.45852 141.609211 \nL 125.527534 140.342559 \nL 124.871854 139.058766 \nL 124.575759 137.892482 \nL 124.605223 137.245328 \nL 124.823141 136.742478 \nL 125.225018 136.410796 \nL 125.796867 136.268544 \nL 126.515787 136.324331 \nL 127.351215 136.576829 \nL 128.741998 137.298484 \nL 130.17568 138.366451 \nL 131.513932 139.680598 \nL 132.631436 141.123629 \nL 133.42678 142.572475 \nL 133.828699 143.906929 \nL 133.857625 144.677552 \nL 133.690466 145.317775 \nL 133.330189 145.801033 \nL 132.785961 146.104584 \nL 132.073037 146.210274 \nL 131.212668 146.105418 \nL 130.231998 145.783825 \nL 129.163897 145.2469 \nL 128.046576 144.504784 \nL 126.373231 143.053008 \nL 124.84522 141.296575 \nL 123.988457 140.033294 \nL 123.315395 138.761788 \nL 122.866528 137.543864 \nL 122.673635 136.442112 \nL 122.756928 135.515546 \nL 123.122707 134.815117 \nL 123.762092 134.379795 \nL 124.6509 134.233686 \nL 125.750916 134.384674 \nL 127.012388 134.824619 \nL 128.377418 135.530974 \nL 129.783844 136.469444 \nL 131.169155 137.597122 \nL 132.473927 138.865682 \nL 133.644633 140.22419 \nL 134.635531 141.621319 \nL 135.409764 143.006936 \nL 135.939723 144.333114 \nL 136.206904 145.554708 \nL 136.201462 146.629648 \nL 135.921686 147.519185 \nL 135.373522 148.188178 \nL 134.570287 148.605628 \nL 133.532612 148.745487 \nL 132.288594 148.587926 \nL 130.874099 148.120956 \nL 129.333087 147.342492 \nL 127.71773 146.262596 \nL 126.088119 144.905758 \nL 124.511289 143.312701 \nL 123.059293 141.541308 \nL 121.806178 139.666047 \nL 120.823769 137.77545 \nL 120.176498 135.967283 \nL 119.91572 134.341676 \nL 120.074185 132.992849 \nL 120.314652 132.447938 \nL 120.6616 132.000568 \nL 121.112221 131.657238 \nL 121.662081 131.422748 \nL 122.305192 131.30013 \nL 123.034124 131.29062 \nL 124.713374 131.607113 \nL 126.617668 132.348693 \nL 128.653802 133.469926 \nL 130.724796 134.909577 \nL 132.736702 136.597085 \nL 134.604101 138.458204 \nL 136.25386 140.419334 \nL 137.627064 142.410265 \nL 138.679381 144.365537 \nL 139.380271 146.224741 \nL 139.711527 147.932138 \nL 139.665604 149.436065 \nL 139.244121 150.688218 \nL 138.895276 151.205619 \nL 138.456761 151.643341 \nL 137.930969 151.996217 \nL 137.320765 152.259307 \nL 136.629498 152.427954 \nL 135.019864 152.465009 \nL 133.140055 152.078058 \nL 131.038439 151.247263 \nL 128.775318 149.966179 \nL 126.424221 148.246477 \nL 124.072486 146.122975 \nL 121.82047 143.658135 \nL 119.778872 140.944943 \nL 118.063546 138.106571 \nL 116.787745 135.291665 \nL 116.346885 133.944074 \nL 116.052005 132.664368 \nL 115.911832 131.473069 \nL 115.932925 130.389657 \nL 116.119343 129.431987 \nL 116.472462 128.615778 \nL 116.990801 127.95414 \nL 117.66995 127.457216 \nL 118.50263 127.131928 \nL 119.478799 126.98186 \nL 120.585897 127.007276 \nL 121.809145 127.205281 \nL 123.131914 127.570076 \nL 124.536177 128.09331 \nL 127.512754 129.571514 \nL 130.583773 131.538656 \nL 133.599738 133.880666 \nL 136.427444 136.482343 \nL 138.95666 139.235349 \nL 141.102803 142.04231 \nL 142.806228 144.817786 \nL 144.029301 147.487136 \nL 144.752294 149.984297 \nL 144.923935 151.149364 \nL 144.969122 152.249183 \nL 144.888615 153.276774 \nL 144.6836 154.225248 \nL 144.355642 155.087759 \nL 143.906642 155.857463 \nL 143.338809 156.527495 \nL 142.654674 157.090968 \nL 141.857094 157.540952 \nL 140.949314 157.870523 \nL 139.935004 158.072802 \nL 138.818351 158.14102 \nL 137.604146 158.068622 \nL 136.297905 157.849381 \nL 134.905972 157.477578 \nL 133.435668 156.94818 \nL 131.89543 156.257108 \nL 130.294934 155.401459 \nL 128.64524 154.379871 \nL 126.958931 153.192829 \nL 125.250187 151.843032 \nL 123.534854 150.335785 \nL 121.830504 148.679355 \nL 120.156354 146.88533 \nL 118.533195 144.968867 \nL 116.983196 142.948927 \nL 115.529628 140.84832 \nL 114.196476 138.693621 \nL 113.007975 136.514911 \nL 111.987988 134.34526 \nL 111.159369 132.220055 \nL 110.543195 130.176036 \nL 110.158 128.250216 \nL 110.019004 126.478601 \nL 110.137363 124.894911 \nL 110.519552 123.52926 \nL 111.166876 122.406987 \nL 112.075167 121.547686 \nL 113.234735 120.964518 \nL 114.630497 120.66388 \nL 116.242385 120.645429 \nL 118.045968 120.902448 \nL 120.013244 121.422548 \nL 122.113559 122.188565 \nL 124.314609 123.179637 \nL 126.583422 124.372315 \nL 128.887339 125.741679 \nL 131.194839 127.262294 \nL 133.476282 128.909068 \nL 137.855069 132.486227 \nL 141.84161 136.299928 \nL 145.303683 140.206863 \nL 146.809888 142.158704 \nL 148.156527 144.093252 \nL 149.339165 146.000094 \nL 150.355239 147.869923 \nL 151.203733 149.694361 \nL 151.88487 151.46572 \nL 152.399828 153.176856 \nL 152.750472 154.820966 \nL 152.939141 156.391467 \nL 152.968447 157.881839 \nL 152.84112 159.285507 \nL 152.559902 160.595746 \nL 152.12744 161.805581 \nL 151.546252 162.907699 \nL 150.818698 163.894369 \nL 149.94699 164.7574 \nL 148.933231 165.48809 \nL 147.779492 166.077184 \nL 146.487896 166.514872 \nL 145.06076 166.790819 \nL 143.500739 166.894194 \nL 141.811014 166.813765 \nL 139.995523 166.538057 \nL 138.059184 166.055531 \nL 136.008189 165.354855 \nL 133.850297 164.425283 \nL 131.59516 163.257075 \nL 129.254659 161.842083 \nL 126.843252 160.174388 \nL 124.378304 158.251088 \nL 121.880401 156.073144 \nL 119.373586 153.646346 \nL 116.885542 150.982249 \nL 114.447623 148.099151 \nL 112.094742 145.022883 \nL 109.865071 141.787463 \nL 107.799465 138.435393 \nL 105.940673 135.017515 \nL 104.3322 131.59234 \nL 103.016953 128.224706 \nL 102.0356 124.983794 \nL 101.424769 121.940511 \nL 101.215177 119.164398 \nL 101.429786 116.720179 \nL 102.082187 114.664385 \nL 103.175342 113.042268 \nL 104.700833 111.885384 \nL 106.638691 111.210098 \nL 108.957932 111.017228 \nL 111.617701 111.292791 \nL 114.568988 112.009747 \nL 117.756772 113.130581 \nL 121.122376 114.610266 \nL 124.605914 116.399438 \nL 128.14854 118.447288 \nL 131.694484 120.704094 \nL 135.192621 123.12316 \nL 138.597648 125.662153 \nL 141.870782 128.283865 \nL 144.980055 130.956434 \nL 147.900246 133.653235 \nL 150.612518 136.352463 \nL 153.103872 139.03656 \nL 155.366446 141.691598 \nL 157.39675 144.306617 \nL 159.194894 146.873044 \nL 160.763834 149.384127 \nL 162.108664 151.834509 \nL 163.235985 154.219799 \nL 164.153347 156.536282 \nL 164.86877 158.780648 \nL 165.390358 160.949787 \nL 165.725966 163.040619 \nL 165.882953 165.049959 \nL 165.867982 166.974375 \nL 165.686889 168.810095 \nL 165.34458 170.552905 \nL 164.844974 172.198044 \nL 164.190986 173.740116 \nL 163.384526 175.172964 \nL 162.42653 176.489571 \nL 161.317015 177.68196 \nL 160.055157 178.741055 \nL 158.639376 179.65656 \nL 157.067472 180.416838 \nL 155.336758 181.008784 \nL 153.444255 181.417728 \nL 151.386892 181.627312 \nL 149.16177 181.619462 \nL 146.766469 181.374355 \nL 144.199409 180.8705 \nL 141.46029 180.084874 \nL 138.550597 178.993255 \nL 135.474185 177.570658 \nL 132.237961 175.792054 \nL 128.852653 173.633336 \nL 125.333632 171.072596 \nL 121.70183 168.091811 \nL 117.984655 164.678854 \nL 114.216886 160.82998 \nL 110.441488 156.552562 \nL 106.710196 151.868073 \nL 103.083806 146.815052 \nL 99.631987 141.451752 \nL 96.432446 135.858025 \nL 93.56934 130.135975 \nL 91.130775 124.408809 \nL 89.205365 118.817482 \nL 87.877876 113.514823 \nL 87.224207 108.657278 \nL 87.306005 104.394709 \nL 88.165462 100.85928 \nL 89.820902 98.154883 \nL 89.820902 98.154883 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p4db2748fd2\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"285.077647pt\" version=\"1.1\" viewBox=\"0 0 293.25711 285.077647\" width=\"293.25711pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:24:49.543230</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 285.077647 \nL 293.25711 285.077647 \nL 293.25711 -0 \nL 0 -0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 34.182794 209.947421 \nL 121.698823 135.932537 \nL 120.752966 29.526202 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 65.012016 220.016244 \nL 150.871812 144.411973 \nL 151.174721 37.23723 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.535906 230.311947 \nL 180.647205 153.066504 \nL 182.252064 45.11443 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 128.778211 240.842284 \nL 211.043854 161.90161 \nL 214.006418 53.163233 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 161.763773 251.615368 \nL 242.081408 170.923002 \nL 246.460151 61.389308 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 34.94483 209.302944 \nL 32.655454 211.239137 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −20 -->\n     <g transform=\"translate(16.099268 233.241623)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 65.760307 219.357333 \nL 63.51219 221.336924 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- −10 -->\n     <g transform=\"translate(46.960062 243.523786)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 97.269636 229.63811 \nL 95.06523 231.662575 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 0 -->\n     <g transform=\"translate(85.88997 254.038514)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 129.496518 240.153009 \nL 127.338412 242.22389 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 10 -->\n     <g transform=\"translate(114.989509 264.793788)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_6\">\n     <path d=\"M 162.465747 250.910118 \nL 160.356675 253.029031 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 20 -->\n     <g transform=\"translate(148.017333 275.797959)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_7\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 36.765775 84.127934 \nL 41.467178 195.816476 \nL 189.630902 243.325081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 52.104454 72.934465 \nL 56.076997 183.570236 \nL 202.862746 229.745953 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 67.007997 62.058538 \nL 70.29006 171.656565 \nL 215.716614 216.554723 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 81.494662 51.48683 \nL 84.12231 160.062099 \nL 228.208472 203.735003 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 95.581698 41.206752 \nL 97.588851 148.774177 \nL 240.353402 191.271317 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 109.285418 31.206402 \nL 110.703997 137.780801 \nL 252.165659 179.149036 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 188.382827 242.924886 \nL 192.130253 244.126496 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −20 -->\n     <g transform=\"translate(191.860505 264.234923)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 201.62718 229.35727 \nL 205.337003 230.524303 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- −10 -->\n     <g transform=\"translate(204.914779 250.454854)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 214.493355 216.177061 \nL 218.166179 217.310988 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 0 -->\n     <g transform=\"translate(224.967027 237.06865)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 226.997323 203.367901 \nL 230.633746 204.470111 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 10 -->\n     <g transform=\"translate(234.109583 224.059661)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 239.154166 190.914337 \nL 242.75478 191.986142 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 20 -->\n     <g transform=\"translate(246.090935 211.412166)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_13\">\n     <path d=\"M 250.978142 178.801766 \nL 254.54353 179.844407 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 30 -->\n     <g transform=\"translate(257.743914 199.111302)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_14\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.144051 154.110124 \nL 114.939295 113.784602 \nL 26.261927 186.280371 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.018585 135.012546 \nL 114.726801 95.305555 \nL 25.3195 166.710262 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.906725 115.617834 \nL 114.51116 76.552875 \nL 24.361845 146.823929 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.808792 95.919 \nL 114.292302 57.520437 \nL 23.388589 126.613645 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.725115 75.908834 \nL 114.070155 38.201935 \nL 22.399349 106.07143 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 255.950086 153.771547 \nL 259.534846 154.78809 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(269.182394 159.144657)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 256.815054 134.67904 \nL 260.428554 135.680362 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(270.195872 140.085537)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 257.693476 115.2896 \nL 261.336179 116.275101 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(271.225069 120.730793)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_16\">\n    <g id=\"line2d_19\">\n     <path d=\"M 258.585665 95.596244 \nL 262.258047 96.565304 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(272.270355 101.073493)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_17\">\n    <g id=\"line2d_20\">\n     <path d=\"M 259.49195 75.591771 \nL 263.194497 76.543745 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 50 -->\n     <g transform=\"translate(273.33211 81.106486)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_21\">\n    <path clip-path=\"url(#p1aba1b2806)\" d=\"M 140.834959 191.303065 \nL 141.039667 190.491453 \nL 141.52714 189.88732 \nL 142.273938 189.377129 \nL 143.906024 188.620255 \nL 158.317471 182.749798 \nL 163.314518 180.379185 \nL 169.435398 177.197382 \nL 176.853165 172.916711 \nL 181.091967 170.253183 \nL 185.695954 167.172697 \nL 190.661399 163.620618 \nL 195.968997 159.542663 \nL 201.577913 154.889509 \nL 207.418476 149.623794 \nL 213.383757 143.730129 \nL 219.32042 137.228618 \nL 225.020019 130.191919 \nL 230.212624 122.764931 \nL 234.56592 115.184428 \nL 237.694013 107.793403 \nL 239.181175 101.041721 \nL 238.624929 95.462033 \nL 235.699562 91.6104 \nL 230.233103 89.968469 \nL 222.279486 90.820711 \nL 212.157619 94.143025 \nL 200.429897 99.554018 \nL 187.812189 106.368541 \nL 162.738465 120.895833 \nL 151.345237 127.203411 \nL 141.095317 132.324624 \nL 132.058488 136.152148 \nL 124.195807 138.749015 \nL 117.412437 140.270837 \nL 111.595557 140.904628 \nL 106.636535 140.831496 \nL 102.441213 140.209512 \nL 98.932834 139.169763 \nL 96.050976 137.819278 \nL 93.748642 136.246456 \nL 91.98872 134.526653 \nL 90.740379 132.72667 \nL 89.975769 130.907801 \nL 89.667177 129.127394 \nL 89.784823 127.439171 \nL 90.295317 125.892534 \nL 91.160895 124.531317 \nL 92.33937 123.392291 \nL 93.784744 122.503753 \nL 95.448369 121.884497 \nL 97.280442 121.543408 \nL 99.231654 121.479663 \nL 101.254811 121.683594 \nL 103.306223 122.138061 \nL 105.346803 122.820172 \nL 107.342786 123.703143 \nL 109.266062 124.75809 \nL 111.094192 125.955647 \nL 112.810135 127.267313 \nL 114.401786 128.666422 \nL 115.86138 130.128824 \nL 117.184844 131.633241 \nL 118.371129 133.161408 \nL 120.339335 136.230459 \nL 121.795374 139.244891 \nL 122.782664 142.148617 \nL 123.347655 144.910934 \nL 123.532688 147.51804 \nL 123.371841 149.966339 \nL 122.888872 152.25746 \nL 122.096538 154.394606 \nL 120.99675 156.379762 \nL 119.581261 158.211357 \nL 117.832724 159.882 \nL 115.726173 161.375992 \nL 113.231159 162.666299 \nL 110.314961 163.710791 \nL 108.689247 164.122443 \nL 106.947566 164.44762 \nL 105.087848 164.674641 \nL 103.109352 164.789921 \nL 101.01315 164.77782 \nL 98.802682 164.620561 \nL 96.484422 164.2982 \nL 94.068636 163.788716 \nL 91.570222 163.068286 \nL 89.009621 162.111758 \nL 86.413732 160.893458 \nL 83.816791 159.388364 \nL 81.261074 157.573724 \nL 78.797313 155.431192 \nL 76.48461 152.949461 \nL 74.389699 150.127347 \nL 72.585266 146.977124 \nL 71.147243 143.527812 \nL 70.150917 139.827918 \nL 69.665973 135.947056 \nL 69.750787 131.975737 \nL 70.446456 128.022779 \nL 71.771448 124.209996 \nL 73.717683 120.664279 \nL 76.248937 117.507774 \nL 79.302095 114.847407 \nL 82.79132 112.765364 \nL 86.614626 111.312163 \nL 90.661914 110.503424 \nL 94.823197 110.320848 \nL 98.995923 110.716923 \nL 103.090475 111.622315 \nL 107.033535 112.954414 \nL 110.769299 114.625664 \nL 114.25898 116.550591 \nL 117.479095 118.650928 \nL 120.419098 120.858725 \nL 123.078796 123.117695 \nL 125.465857 125.3832 \nL 127.59359 127.621303 \nL 129.479085 129.807361 \nL 132.601963 133.961605 \nL 134.997849 137.775394 \nL 136.825371 141.236043 \nL 138.226124 144.360425 \nL 139.783747 148.481691 \nL 142.680835 156.86064 \nL 143.815232 159.227046 \nL 144.691523 160.598719 \nL 145.704143 161.806651 \nL 146.88932 162.845469 \nL 148.286734 163.703642 \nL 149.941055 164.362493 \nL 151.903206 164.794726 \nL 154.231258 164.962402 \nL 156.990675 164.814314 \nL 160.253417 164.282811 \nL 164.095044 163.280342 \nL 168.588422 161.696465 \nL 171.098805 160.645411 \nL 173.791916 159.396921 \nL 176.669462 157.931179 \nL 179.729064 156.227942 \nL 182.962889 154.267385 \nL 186.356015 152.031322 \nL 189.884531 149.504903 \nL 193.513393 146.678883 \nL 197.194149 143.552525 \nL 200.862669 140.137157 \nL 204.437198 136.460285 \nL 207.817082 132.570019 \nL 210.882758 128.539309 \nL 213.497692 124.469181 \nL 215.512992 120.489838 \nL 216.775379 116.758228 \nL 217.138868 113.450608 \nL 216.47975 110.749128 \nL 214.713615 108.822565 \nL 211.81173 107.802974 \nL 207.813252 107.762427 \nL 202.829424 108.695444 \nL 197.037125 110.513027 \nL 190.661556 113.051748 \nL 183.951092 116.097187 \nL 170.473242 122.789642 \nL 158.130783 129.034759 \nL 147.708307 134.034145 \nL 139.351062 137.708849 \nL 130.174952 141.401613 \nL 123.969202 143.924218 \nL 120.926167 145.333586 \nL 117.344085 147.294591 \nL 110.552035 151.344067 \nL 108.526733 152.247053 \nL 106.352394 152.958897 \nL 104.00354 153.42809 \nL 101.475601 153.598244 \nL 98.787011 153.408719 \nL 95.982728 152.79683 \nL 94.559551 152.313475 \nL 93.138463 151.702706 \nL 91.73432 150.958871 \nL 90.364213 150.077801 \nL 89.047385 149.057305 \nL 87.805038 147.897716 \nL 86.660009 146.602484 \nL 85.636288 145.178739 \nL 84.758362 143.637796 \nL 84.050408 141.995563 \nL 83.535323 140.272743 \nL 83.233654 138.494801 \nL 83.16246 136.691603 \nL 83.33422 134.89672 \nL 83.755856 133.146358 \nL 84.427969 131.47797 \nL 85.344405 129.928609 \nL 86.492191 128.533156 \nL 87.851886 127.32258 \nL 89.398352 126.322402 \nL 91.101857 125.551457 \nL 92.929431 125.021179 \nL 94.846359 124.735367 \nL 96.817669 124.69048 \nL 98.809502 124.876406 \nL 100.79027 125.27757 \nL 102.731539 125.87424 \nL 104.608631 126.643912 \nL 106.400906 127.562637 \nL 108.091829 128.606204 \nL 109.668803 129.751098 \nL 111.122864 130.975224 \nL 112.44827 132.258401 \nL 113.64204 133.582661 \nL 115.633685 136.294021 \nL 117.111413 139.010528 \nL 118.105028 141.664627 \nL 118.65037 144.212985 \nL 118.782221 146.629293 \nL 118.529854 148.898006 \nL 117.91464 151.009239 \nL 116.949179 152.954676 \nL 115.637539 154.724229 \nL 113.97638 156.303073 \nL 111.956914 157.66879 \nL 109.567816 158.788459 \nL 106.799426 159.615557 \nL 105.271853 159.90037 \nL 103.649699 160.086882 \nL 101.935257 160.164158 \nL 100.132477 160.119983 \nL 98.247393 159.940878 \nL 96.288582 159.612229 \nL 94.267675 159.11848 \nL 92.19987 158.443489 \nL 90.104456 157.571028 \nL 88.005286 156.48551 \nL 85.931158 155.172902 \nL 83.916012 153.621934 \nL 81.998906 151.825535 \nL 80.223614 149.782468 \nL 78.637793 147.499121 \nL 77.291638 144.991294 \nL 76.235925 142.285763 \nL 75.519529 139.421399 \nL 75.186446 136.449539 \nL 75.272548 133.433329 \nL 75.802364 130.445792 \nL 76.786278 127.566596 \nL 78.218552 124.877609 \nL 80.076509 122.457618 \nL 82.321155 120.376784 \nL 84.899242 118.69157 \nL 87.746579 117.440798 \nL 90.792193 116.64343 \nL 93.96282 116.298325 \nL 97.187193 116.385902 \nL 100.399631 116.871326 \nL 103.542714 117.708694 \nL 106.568844 118.845464 \nL 109.440842 120.22671 \nL 112.13169 121.798619 \nL 114.623692 123.51118 \nL 116.907264 125.319867 \nL 118.979556 127.18653 \nL 120.843074 129.079583 \nL 122.504381 130.973712 \nL 123.972952 132.849297 \nL 125.260198 134.691648 \nL 127.341375 138.237876 \nL 128.851294 141.564675 \nL 129.888121 144.658664 \nL 130.537215 147.526097 \nL 130.867944 150.183262 \nL 130.933159 152.650593 \nL 130.770099 154.949267 \nL 130.401892 157.099312 \nL 129.839164 159.118627 \nL 129.081434 161.022464 \nL 128.118169 162.823099 \nL 126.929458 164.529454 \nL 125.48633 166.146478 \nL 123.750808 167.674106 \nL 121.675855 169.105533 \nL 119.205475 170.424518 \nL 116.27539 171.601339 \nL 112.814982 172.58688 \nL 108.751637 173.304357 \nL 106.472595 173.528348 \nL 104.019258 173.638271 \nL 101.386882 173.6114 \nL 98.573588 173.420812 \nL 95.581467 173.034973 \nL 92.417961 172.417452 \nL 89.097509 171.52685 \nL 85.643491 170.3171 \nL 82.090378 168.738332 \nL 78.486043 166.738514 \nL 74.893999 164.266155 \nL 71.395245 161.274359 \nL 68.089305 157.726392 \nL 65.093777 153.602863 \nL 62.541763 148.910195 \nL 60.576392 143.689702 \nL 59.342011 138.025857 \nL 58.972006 132.051812 \nL 59.574098 125.949727 \nL 61.214996 119.943741 \nL 63.907129 114.284278 \nL 67.600695 109.224487 \nL 72.183702 104.99193 \nL 77.49103 101.760889 \nL 83.321415 99.631362 \nL 89.458984 98.619627 \nL 95.694948 98.66231 \nL 101.845333 99.632141 \nL 107.762241 101.360877 \nL 113.338103 103.663716 \nL 118.504125 106.360431 \nL 123.224967 109.29036 \nL 127.491733 112.320624 \nL 131.314865 115.348534 \nL 134.717901 118.299831 \nL 137.732475 121.124638 \nL 142.741924 126.287574 \nL 146.641524 130.744251 \nL 151.016925 136.171341 \nL 155.282363 141.430086 \nL 157.128848 143.359083 \nL 158.951613 144.882408 \nL 160.842899 146.026558 \nL 162.874257 146.803796 \nL 165.099832 147.213819 \nL 167.557906 147.245748 \nL 170.270453 146.880694 \nL 173.240541 146.09532 \nL 176.447485 144.867039 \nL 179.839938 143.181579 \nL 183.327546 141.043473 \nL 186.772774 138.489604 \nL 189.985722 135.604531 \nL 191.431756 134.080767 \nL 192.72643 132.534241 \nL 193.834419 130.993786 \nL 194.720123 129.491961 \nL 195.349163 128.064197 \nL 195.69012 126.747505 \nL 195.716462 125.578776 \nL 195.408495 124.592733 \nL 194.755191 123.819701 \nL 193.755645 123.283405 \nL 192.419989 122.999075 \nL 190.769562 122.972078 \nL 188.836278 123.197393 \nL 186.661144 123.659972 \nL 184.292105 124.336062 \nL 181.781398 125.195243 \nL 176.54846 127.323478 \nL 171.362878 129.766768 \nL 166.542796 132.293425 \nL 162.295537 134.752597 \nL 158.722355 137.072481 \nL 155.842255 139.237458 \nL 153.620863 141.261203 \nL 151.995763 143.165885 \nL 150.895154 144.970068 \nL 150.249928 146.683768 \nL 150.000558 148.307824 \nL 150.100398 149.835236 \nL 150.516727 151.252921 \nL 151.230499 152.543099 \nL 152.235449 153.684006 \nL 153.53691 154.649915 \nL 155.150524 155.410494 \nL 157.100786 155.929681 \nL 159.419262 156.164224 \nL 162.14213 156.062065 \nL 165.306447 155.560965 \nL 168.944369 154.587959 \nL 173.074233 153.060694 \nL 177.687205 150.892378 \nL 180.160114 149.542051 \nL 182.728253 148.002911 \nL 185.373377 146.269369 \nL 188.07091 144.33951 \nL 190.788965 142.216488 \nL 193.487452 139.910098 \nL 196.117394 137.438519 \nL 198.62061 134.830062 \nL 200.92996 132.124755 \nL 202.97041 129.37545 \nL 204.661096 126.64814 \nL 205.918639 124.021016 \nL 206.661757 121.581877 \nL 206.817093 119.423594 \nL 206.3259 117.637603 \nL 205.15091 116.305766 \nL 203.282427 115.491521 \nL 200.7425 115.231616 \nL 197.58615 115.53019 \nL 193.898934 116.356571 \nL 189.790876 117.64778 \nL 185.387493 119.315603 \nL 180.819338 121.257004 \nL 171.676523 125.5437 \nL 159.3181 131.768334 \nL 149.663905 136.843754 \nL 144.782436 139.591729 \nL 140.973592 141.98475 \nL 138.037244 144.156917 \nL 135.773824 146.207362 \nL 134.003919 148.196707 \nL 132.575045 150.154887 \nL 130.802956 153.051118 \nL 128.082975 157.724203 \nL 126.218851 160.383079 \nL 124.764522 162.074074 \nL 123.080883 163.686453 \nL 121.115148 165.205331 \nL 118.811624 166.609808 \nL 116.111202 167.869211 \nL 112.952276 168.93804 \nL 109.273857 169.749275 \nL 107.22246 170.029415 \nL 105.022116 170.205896 \nL 102.669137 170.260247 \nL 100.162152 170.17084 \nL 97.502932 169.912598 \nL 94.697407 169.456813 \nL 91.756857 168.77111 \nL 88.699318 167.819681 \nL 85.551123 166.563881 \nL 82.348565 164.963356 \nL 79.139503 162.977856 \nL 75.984788 160.56993 \nL 72.959148 157.708618 \nL 70.151223 154.374211 \nL 67.662279 150.563968 \nL 65.60313 146.298409 \nL 64.088893 141.627481 \nL 63.231426 136.635489 \nL 63.129695 131.443361 \nL 63.858919 126.20674 \nL 65.459963 121.10872 \nL 67.930886 116.34683 \nL 71.222654 112.115363 \nL 75.240492 108.585355 \nL 79.851264 105.885932 \nL 84.895884 104.090648 \nL 90.204549 103.211815 \nL 95.61196 103.203585 \nL 100.970017 103.972754 \nL 106.156302 105.394316 \nL 111.077951 107.328311 \nL 115.6715 109.634887 \nL 119.899866 112.185645 \nL 123.747822 114.870551 \nL 127.217042 117.600857 \nL 130.321427 120.308916 \nL 133.083136 122.946057 \nL 135.52943 125.479495 \nL 139.596588 130.163775 \nL 142.767358 134.297807 \nL 146.338076 139.507655 \nL 150.639591 145.950118 \nL 152.181311 147.87291 \nL 153.771517 149.465992 \nL 155.487145 150.742245 \nL 157.393682 151.702377 \nL 159.548204 152.335034 \nL 162.000983 152.616923 \nL 164.795364 152.51306 \nL 167.965517 151.977556 \nL 171.531482 150.955573 \nL 175.490872 149.387539 \nL 179.806577 147.217208 \nL 182.072978 145.892774 \nL 184.39029 144.405528 \nL 186.736244 142.756814 \nL 189.082879 140.952219 \nL 191.396045 139.002678 \nL 193.635084 136.92563 \nL 195.752838 134.746095 \nL 197.696065 132.497587 \nL 199.406459 130.222618 \nL 200.822334 127.972608 \nL 201.88112 125.806942 \nL 202.522655 123.790984 \nL 202.693161 121.992902 \nL 202.349699 120.479327 \nL 201.464618 119.310166 \nL 200.029488 118.532993 \nL 198.057835 118.177908 \nL 195.586108 118.253654 \nL 192.672473 118.745887 \nL 189.393377 119.61811 \nL 185.838227 120.815313 \nL 182.102902 122.269796 \nL 174.467829 125.658407 \nL 167.150435 129.246565 \nL 160.602675 132.661976 \nL 155.046445 135.735665 \nL 150.521072 138.453505 \nL 146.951143 140.881319 \nL 144.204911 143.105333 \nL 142.133971 145.199583 \nL 140.596084 147.2148 \nL 139.466178 149.179345 \nL 138.640094 151.104822 \nL 138.034279 152.992301 \nL 137.400084 155.742144 \nL 136.718535 160.058111 \nL 135.896644 165.451722 \nL 135.27057 168.200561 \nL 134.646213 170.123462 \nL 133.830761 171.945792 \nL 132.756119 173.686229 \nL 131.852472 174.810476 \nL 130.760659 175.91204 \nL 129.439773 176.995068 \nL 127.840157 178.061625 \nL 125.901739 179.110048 \nL 123.552307 180.132311 \nL 120.705984 181.109871 \nL 117.262407 182.007211 \nL 113.107616 182.76195 \nL 108.118533 183.270077 \nL 105.272752 183.382704 \nL 102.174332 183.364721 \nL 98.812404 183.180733 \nL 95.180286 182.787473 \nL 91.277551 182.132682 \nL 87.112701 181.154149 \nL 82.706545 179.779154 \nL 78.096294 177.924651 \nL 73.340351 175.498724 \nL 68.523559 172.403978 \nL 63.762342 168.543673 \nL 59.208939 163.831513 \nL 55.053191 158.205706 \nL 51.520071 151.647375 \nL 48.860664 144.20212 \nL 47.334664 136.00166 \nL 47.183645 127.280072 \nL 48.59687 118.377358 \nL 51.674936 109.722869 \nL 56.399914 101.794481 \nL 62.621855 95.056462 \nL 70.068998 89.887925 \nL 78.382121 86.520582 \nL 87.165219 85.004295 \nL 96.038969 85.210713 \nL 104.683291 86.871927 \nL 112.860812 89.639986 \nL 120.420607 93.148683 \nL 127.287429 97.062734 \nL 133.443808 101.1072 \nL 138.911296 105.077915 \nL 143.734585 108.837969 \nL 151.676869 115.445296 \nL 171.366863 132.363871 \nL 173.812105 134.091311 \nL 175.309623 134.910439 \nL 176.394221 135.265912 \nL 176.99607 135.272203 \nL 176.482874 135.391768 \nL 175.676152 135.838569 \nL 175.185024 136.332197 \nL 175.128213 136.614522 \nL 175.288816 136.741083 \nL 175.719802 136.734978 \nL 176.448112 136.475809 \nL 177.170564 136.00989 \nL 177.609435 135.496507 \nL 177.637492 135.228251 \nL 177.426113 135.082118 \nL 177.000152 135.089925 \nL 176.270226 135.318805 \nL 175.358927 135.835375 \nL 174.729743 136.441589 \nL 174.597624 136.863284 \nL 174.788795 137.068048 \nL 175.226158 137.112284 \nL 176.031547 136.916671 \nL 176.95512 136.465887 \nL 177.767145 135.853018 \nL 178.234664 135.23282 \nL 178.244823 134.852222 \nL 178.01874 134.687196 \nL 177.606817 134.64951 \nL 176.833821 134.806596 \nL 175.698511 135.294518 \nL 174.658347 135.985608 \nL 173.98205 136.710843 \nL 173.822407 137.200849 \nL 173.95018 137.465268 \nL 174.285498 137.612538 \nL 175.016748 137.59631 \nL 175.986483 137.322713 \nL 177.060314 136.811044 \nL 178.070118 136.124323 \nL 178.833774 135.369093 \nL 179.144835 134.839708 \nL 179.175699 134.409176 \nL 179.029343 134.203546 \nL 178.565789 134.046275 \nL 177.846087 134.087524 \nL 176.612159 134.443016 \nL 175.269451 135.077847 \nL 174.05168 135.881332 \nL 173.157886 136.726674 \nL 172.784578 137.314176 \nL 172.702406 137.809957 \nL 172.920539 138.173566 \nL 173.427874 138.371264 \nL 174.194122 138.377587 \nL 175.170072 138.177891 \nL 176.676646 137.593196 \nL 178.219015 136.695477 \nL 179.244197 135.887324 \nL 180.028203 135.04716 \nL 180.465808 134.267254 \nL 180.52548 133.828174 \nL 180.384181 133.484091 \nL 180.040929 133.255716 \nL 179.506598 133.156977 \nL 178.39882 133.262659 \nL 177.030148 133.657253 \nL 175.547586 134.291833 \nL 174.104796 135.095611 \nL 172.840378 135.989891 \nL 171.863709 136.898445 \nL 171.249545 137.75261 \nL 171.039325 138.492137 \nL 171.130883 138.895085 \nL 171.405757 139.209384 \nL 171.857323 139.422225 \nL 172.474836 139.522295 \nL 173.678385 139.441015 \nL 175.150819 139.06513 \nL 176.795893 138.393995 \nL 178.487977 137.454683 \nL 180.072803 136.309696 \nL 181.375727 135.060909 \nL 182.000026 134.2373 \nL 182.373673 133.474198 \nL 182.460412 132.818077 \nL 182.238981 132.311281 \nL 181.706858 131.987437 \nL 180.882177 131.867652 \nL 179.803226 131.958248 \nL 178.525398 132.250661 \nL 176.384764 133.018128 \nL 174.193662 134.082187 \nL 172.179466 135.31997 \nL 170.521696 136.616662 \nL 169.340639 137.876161 \nL 168.852349 138.656064 \nL 168.614262 139.364672 \nL 168.628146 139.983672 \nL 168.890722 140.495614 \nL 169.394718 140.883562 \nL 170.129386 141.131051 \nL 171.080436 141.22241 \nL 172.229426 141.143422 \nL 173.552695 140.8824 \nL 175.019916 140.431626 \nL 176.592483 139.789243 \nL 178.221987 138.961481 \nL 179.849161 137.965087 \nL 181.40379 136.829594 \nL 182.806176 135.598923 \nL 183.9707 134.331591 \nL 184.811852 133.098718 \nL 185.252609 131.979237 \nL 185.303523 131.486986 \nL 185.234352 131.05225 \nL 185.042264 130.683349 \nL 184.726695 130.387382 \nL 184.289486 130.16995 \nL 183.069811 129.984368 \nL 181.445756 130.135173 \nL 179.511683 130.601757 \nL 177.382701 131.339612 \nL 175.181048 132.289419 \nL 171.992568 133.972309 \nL 169.217886 135.793828 \nL 167.705497 137.01031 \nL 166.50682 138.190418 \nL 165.639675 139.30977 \nL 165.10925 140.348303 \nL 164.912383 141.287865 \nL 165.041048 142.110427 \nL 165.48484 142.797007 \nL 166.232388 143.327162 \nL 167.271751 143.678949 \nL 168.589857 143.829296 \nL 170.171058 143.754795 \nL 171.994852 143.433041 \nL 174.032841 142.844634 \nL 176.245066 141.97606 \nL 178.575985 140.823616 \nL 180.950622 139.398338 \nL 183.27175 137.73161 \nL 185.419408 135.880627 \nL 187.254329 133.932074 \nL 188.626909 132.001881 \nL 189.093902 131.086413 \nL 189.392586 130.228552 \nL 189.50913 129.44674 \nL 189.432818 128.758588 \nL 189.156731 128.180077 \nL 188.678348 127.724774 \nL 187.999947 127.403102 \nL 187.128812 127.221774 \nL 186.077158 127.183417 \nL 184.8618 127.28645 \nL 182.026455 127.890621 \nL 178.821793 128.950094 \nL 175.465617 130.34684 \nL 172.163288 131.955837 \nL 169.084485 133.667176 \nL 166.351836 135.397872 \nL 164.040648 137.093248 \nL 162.18613 138.721353 \nL 160.793975 140.264788 \nL 159.851138 141.713082 \nL 159.335003 143.057115 \nL 159.22027 144.285744 \nL 159.48355 145.384154 \nL 160.106026 146.333256 \nL 161.074534 147.109618 \nL 162.381411 147.685577 \nL 164.0233 148.029423 \nL 165.998986 148.105699 \nL 168.306172 147.875833 \nL 170.937041 147.299491 \nL 173.872372 146.337167 \nL 177.07403 144.954701 \nL 180.475943 143.130467 \nL 183.974187 140.865811 \nL 187.417816 138.198727 \nL 190.603524 135.21925 \nL 192.022324 133.658131 \nL 193.278833 132.082678 \nL 194.336657 130.523211 \nL 195.159525 129.013716 \nL 195.712886 127.590835 \nL 195.965766 126.292426 \nL 195.892768 125.155682 \nL 195.476064 124.214947 \nL 194.707192 123.499407 \nL 193.588411 123.03086 \nL 192.133439 122.82189 \nL 190.367392 122.874701 \nL 188.325858 123.180819 \nL 186.053141 123.721789 \nL 183.599854 124.470776 \nL 178.36854 126.458039 \nL 173.055599 128.856454 \nL 168.018642 131.406843 \nL 163.50691 133.926295 \nL 159.656295 136.317487 \nL 156.509324 138.549885 \nL 154.044512 140.631657 \nL 152.204157 142.585486 \nL 150.915758 144.433302 \nL 150.106377 146.189147 \nL 149.711135 147.857499 \nL 149.677534 149.434274 \nL 149.967084 150.908677 \nL 150.555348 152.264858 \nL 151.431174 153.482921 \nL 152.595566 154.539207 \nL 154.060444 155.405903 \nL 155.847303 156.050064 \nL 157.985706 156.432241 \nL 160.511272 156.504816 \nL 163.462754 156.21037 \nL 166.87747 155.480498 \nL 170.784153 154.235897 \nL 175.191979 152.389064 \nL 177.577478 151.211927 \nL 180.074352 149.851809 \nL 182.669991 148.300092 \nL 185.346371 146.550644 \nL 188.079049 144.600991 \nL 190.836135 142.453725 \nL 193.577346 140.118136 \nL 196.253268 137.612015 \nL 198.804974 134.963481 \nL 201.164212 132.21267 \nL 203.254423 129.412953 \nL 204.992796 126.631357 \nL 206.293605 123.947682 \nL 207.072915 121.451961 \nL 207.254586 119.239847 \nL 206.777195 117.405939 \nL 205.601225 116.035312 \nL 203.715477 115.194295 \nL 201.141548 114.921748 \nL 197.935231 115.2227 \nL 194.184101 116.065936 \nL 190.001251 117.386503 \nL 185.515945 119.093033 \nL 180.862704 121.078661 \nL 171.554508 125.455167 \nL 158.993946 131.778992 \nL 149.205805 136.895664 \nL 144.264723 139.648314 \nL 140.411283 142.036602 \nL 137.438697 144.200046 \nL 135.142106 146.24089 \nL 133.33804 148.221171 \nL 131.870897 150.171192 \nL 130.028386 153.056263 \nL 127.139863 157.707653 \nL 125.842315 159.482325 \nL 124.376688 161.190364 \nL 122.689642 162.818584 \nL 120.727647 164.350667 \nL 118.435326 165.764471 \nL 115.75487 167.028347 \nL 112.626951 168.096208 \nL 108.993836 168.901095 \nL 106.971732 169.176342 \nL 104.805895 169.347131 \nL 102.493281 169.395419 \nL 100.033177 169.300178 \nL 97.428001 169.037155 \nL 94.684266 168.578716 \nL 91.813719 167.89388 \nL 88.834654 166.948582 \nL 85.773358 165.706302 \nL 82.66562 164.129199 \nL 79.558203 162.179896 \nL 76.510083 159.824069 \nL 73.59316 157.033956 \nL 70.892182 153.792806 \nL 68.503385 150.100169 \nL 66.531495 145.977643 \nL 65.084759 141.474432 \nL 64.267871 136.671667 \nL 64.173098 131.684253 \nL 64.870345 126.658894 \nL 66.397509 121.767285 \nL 68.752822 117.194182 \nL 71.890961 113.121299 \nL 75.724214 109.709157 \nL 80.129076 107.080079 \nL 84.957391 105.305679 \nL 90.050128 104.40131 \nL 95.25133 104.328433 \nL 100.419914 105.003957 \nL 105.43783 106.314049 \nL 110.214069 108.129403 \nL 114.684953 110.319149 \nL 118.811754 112.761614 \nL 122.576741 115.35116 \nL 125.978699 118.001346 \nL 129.02861 120.645219 \nL 131.745895 123.233663 \nL 134.155353 125.732745 \nL 138.163391 130.385271 \nL 141.283768 134.526564 \nL 143.737105 138.160571 \nL 150.336065 148.463671 \nL 151.808678 150.176625 \nL 153.3884 151.590238 \nL 155.140953 152.707923 \nL 157.124874 153.521582 \nL 159.393728 154.011391 \nL 161.996892 154.14553 \nL 164.978565 153.880045 \nL 168.374465 153.159341 \nL 172.205519 151.918095 \nL 176.467637 150.085953 \nL 178.748639 148.927128 \nL 181.116706 147.597009 \nL 183.556776 146.090797 \nL 186.048538 144.406598 \nL 188.565644 142.546503 \nL 191.074988 140.517836 \nL 193.536104 138.334537 \nL 195.900862 136.018548 \nL 198.113544 133.60113 \nL 200.111518 131.123874 \nL 201.826658 128.63916 \nL 203.187679 126.209768 \nL 204.123479 123.907316 \nL 204.567469 121.8093 \nL 204.462682 119.994601 \nL 203.767287 118.537589 \nL 202.459849 117.501377 \nL 200.543547 116.930942 \nL 198.048528 116.847378 \nL 195.031691 117.244364 \nL 191.573634 118.087838 \nL 187.772944 119.319221 \nL 183.7386 120.861873 \nL 179.581638 122.629555 \nL 171.308736 126.500188 \nL 163.628491 130.357432 \nL 154.023779 135.453789 \nL 149.040564 138.304633 \nL 145.106604 140.805363 \nL 142.066769 143.066275 \nL 139.748137 145.181091 \nL 137.986077 147.213805 \nL 136.636147 149.200486 \nL 135.577603 151.156611 \nL 134.327147 154.037411 \nL 131.430634 161.280574 \nL 130.07356 163.787038 \nL 128.985697 165.388656 \nL 127.706362 166.933505 \nL 126.192431 168.419221 \nL 124.394902 169.840554 \nL 122.257545 171.18707 \nL 119.715994 172.439894 \nL 116.697634 173.567018 \nL 113.122952 174.516604 \nL 108.909551 175.207604 \nL 106.538771 175.419779 \nL 103.980751 175.517117 \nL 101.229445 175.475101 \nL 98.281802 175.264488 \nL 95.139001 174.850786 \nL 91.807988 174.193856 \nL 88.303361 173.247747 \nL 84.649588 171.960931 \nL 80.883536 170.277186 \nL 77.057189 168.137381 \nL 73.24032 165.482518 \nL 69.522784 162.258377 \nL 66.015831 158.422046 \nL 62.851698 153.950413 \nL 60.180607 148.850331 \nL 58.164252 143.169498 \nL 56.965149 137.006419 \nL 56.731911 130.516834 \nL 57.581525 123.913585 \nL 59.581069 117.457153 \nL 62.732521 111.43545 \nL 66.964666 106.134207 \nL 72.135237 101.802371 \nL 78.044173 98.619727 \nL 84.455869 96.674364 \nL 91.125677 95.955515 \nL 97.824972 96.363017 \nL 104.360032 97.729962 \nL 110.582315 99.851917 \nL 116.390422 102.515727 \nL 121.725789 105.522442 \nL 126.564911 108.70197 \nL 130.910545 111.919525 \nL 134.783558 115.075728 \nL 138.216218 118.102679 \nL 143.91764 123.619477 \nL 148.343078 128.334279 \nL 154.582159 135.510091 \nL 157.941019 139.263449 \nL 159.896458 141.139683 \nL 161.777931 142.580734 \nL 163.681996 143.623208 \nL 165.679954 144.288739 \nL 167.8214 144.586786 \nL 170.136063 144.517724 \nL 172.633853 144.076482 \nL 175.303152 143.257032 \nL 178.107588 142.058138 \nL 180.981842 140.490614 \nL 183.827566 138.586044 \nL 186.511139 136.406181 \nL 188.865697 134.051151 \nL 190.700361 131.663293 \nL 191.360956 130.512138 \nL 191.819141 129.422346 \nL 192.054375 128.419395 \nL 192.049813 127.528194 \nL 191.793455 126.771868 \nL 191.27915 126.170495 \nL 190.507391 125.739878 \nL 189.485772 125.490539 \nL 188.229041 125.426996 \nL 186.758715 125.547447 \nL 185.102239 125.843978 \nL 183.291786 126.303178 \nL 179.352172 127.635079 \nL 175.232719 129.371775 \nL 171.204034 131.337072 \nL 167.480565 133.384617 \nL 164.206629 135.413831 \nL 161.459726 137.36829 \nL 159.264145 139.223958 \nL 157.6079 140.975064 \nL 156.458386 142.622532 \nL 155.774682 144.16656 \nL 155.516115 145.60287 \nL 155.647593 146.921459 \nL 156.142464 148.106597 \nL 156.983619 149.137238 \nL 158.163368 149.987367 \nL 159.682461 150.626055 \nL 161.548383 151.017263 \nL 163.772852 151.119525 \nL 166.368331 150.885821 \nL 169.343141 150.264121 \nL 172.694667 149.199289 \nL 176.400104 147.637347 \nL 180.404368 145.533398 \nL 184.605339 142.864658 \nL 186.730864 141.322002 \nL 188.837905 139.649583 \nL 190.893743 137.860207 \nL 192.860469 135.97247 \nL 194.69522 134.011481 \nL 196.350803 132.009333 \nL 197.776809 130.005214 \nL 198.92129 128.044944 \nL 199.733025 126.179817 \nL 200.164322 124.464641 \nL 200.174263 122.954915 \nL 199.732121 121.703263 \nL 198.820609 120.755423 \nL 197.438548 120.14616 \nL 195.602509 119.895708 \nL 193.347045 120.007383 \nL 190.723324 120.466809 \nL 187.796208 121.243044 \nL 184.640067 122.291573 \nL 181.333841 123.558714 \nL 174.580187 126.518848 \nL 168.083828 129.697646 \nL 162.230796 132.789962 \nL 157.225434 135.642859 \nL 153.122214 138.224598 \nL 149.876103 140.571349 \nL 147.388986 142.741715 \nL 145.543363 144.789569 \nL 144.223224 146.753023 \nL 143.325172 148.653308 \nL 142.763147 150.498144 \nL 142.469355 152.286142 \nL 142.393184 154.010674 \nL 142.499256 155.662595 \nL 142.765284 157.231899 \nL 143.180124 158.708431 \nL 143.742191 160.081982 \nL 144.458326 161.341905 \nL 145.343092 162.47642 \nL 146.418489 163.471639 \nL 147.713992 164.31037 \nL 149.266868 164.970593 \nL 151.122616 165.4236 \nL 153.335375 165.631671 \nL 155.967999 165.545236 \nL 159.091313 165.09948 \nL 162.781767 164.210571 \nL 167.1162 162.772061 \nL 172.161747 160.652729 \nL 174.965345 159.290313 \nL 177.958008 157.698579 \nL 181.135586 155.856498 \nL 184.487714 153.743847 \nL 187.996001 151.342644 \nL 191.63194 148.639138 \nL 195.354587 145.626419 \nL 199.108136 142.30773 \nL 202.819615 138.700462 \nL 206.397022 134.840658 \nL 209.728389 130.787714 \nL 212.682456 126.628576 \nL 215.111685 122.480481 \nL 216.858435 118.490856 \nL 217.764925 114.832809 \nL 217.68707 111.694755 \nL 216.511503 109.263491 \nL 214.173674 107.701546 \nL 210.673814 107.121689 \nL 206.086644 107.564064 \nL 200.560986 108.982245 \nL 194.307497 111.243966 \nL 187.57584 114.148301 \nL 180.625951 117.456106 \nL 149.518195 132.988645 \nL 140.495598 136.9967 \nL 133.445257 139.834093 \nL 120.584665 144.850552 \nL 116.805051 146.70723 \nL 108.980738 150.943572 \nL 106.955132 151.700492 \nL 104.792275 152.250391 \nL 102.476817 152.54219 \nL 100.015234 152.521655 \nL 97.43779 152.132963 \nL 94.801388 151.322111 \nL 93.48685 150.743443 \nL 92.192343 150.043056 \nL 90.933453 149.217981 \nL 89.72756 148.267115 \nL 88.593651 147.191671 \nL 87.551998 145.995651 \nL 86.623708 144.686297 \nL 85.83016 143.274472 \nL 85.192298 141.774959 \nL 84.729805 140.206576 \nL 84.46022 138.592093 \nL 84.398002 136.957899 \nL 84.553632 135.333382 \nL 84.932827 133.750027 \nL 85.53594 132.24027 \nL 86.357605 130.836156 \nL 87.386684 129.5679 \nL 88.60656 128.462485 \nL 89.995728 127.542385 \nL 91.528683 126.824568 \nL 93.17702 126.31987 \nL 94.910629 126.032747 \nL 96.698922 125.961449 \nL 98.51198 126.098572 \nL 100.321556 126.431894 \nL 102.101853 126.945401 \nL 103.830086 127.62039 \nL 105.486811 128.436569 \nL 107.056031 129.373051 \nL 108.525139 130.4092 \nL 109.884711 131.525292 \nL 111.128206 132.703001 \nL 113.253008 135.178664 \nL 114.890614 137.725702 \nL 116.054172 140.262547 \nL 116.76853 142.732363 \nL 117.062306 145.097182 \nL 116.962412 147.332061 \nL 116.490725 149.419902 \nL 115.662424 151.347105 \nL 114.485688 153.099961 \nL 112.962409 154.661493 \nL 111.089895 156.008599 \nL 108.863561 157.109256 \nL 106.280856 157.919828 \nL 103.346736 158.382555 \nL 101.753276 158.461104 \nL 100.081083 158.423786 \nL 98.33656 158.258898 \nL 96.528376 157.953889 \nL 94.667872 157.495588 \nL 92.769486 156.870531 \nL 90.851143 156.065421 \nL 88.934618 155.067751 \nL 87.045787 153.866619 \nL 85.214738 152.453698 \nL 83.475673 150.824432 \nL 81.866517 148.979328 \nL 80.428175 146.925365 \nL 79.203394 144.677343 \nL 78.235169 142.259053 \nL 77.564736 139.70409 \nL 77.229226 137.05606 \nL 77.259115 134.368012 \nL 77.675704 131.700928 \nL 78.488912 129.121232 \nL 79.695663 126.697415 \nL 81.279134 124.495988 \nL 83.209072 122.577207 \nL 85.443183 120.99106 \nL 87.92952 119.774034 \nL 90.609573 118.947034 \nL 93.421751 118.514793 \nL 96.304799 118.466679 \nL 99.200855 118.778776 \nL 102.05784 119.416845 \nL 104.831098 120.339679 \nL 107.484234 121.502485 \nL 109.989259 122.859863 \nL 112.326188 124.36824 \nL 114.48227 125.987581 \nL 116.450989 127.682477 \nL 118.230977 129.422624 \nL 119.824944 131.182875 \nL 121.238682 132.942952 \nL 122.480182 134.686983 \nL 124.48505 138.082003 \nL 125.921998 141.307167 \nL 126.873025 144.336644 \nL 127.411125 147.166084 \nL 127.595999 149.803152 \nL 127.472498 152.261295 \nL 127.07066 154.555784 \nL 126.406551 156.701225 \nL 125.483375 158.709909 \nL 124.292596 160.590563 \nL 122.814913 162.347137 \nL 121.021139 163.977322 \nL 118.873109 165.470529 \nL 116.324934 166.804966 \nL 113.325066 167.943541 \nL 109.819985 168.828215 \nL 107.862228 169.149699 \nL 105.760642 169.372647 \nL 103.511574 169.48038 \nL 101.113358 169.453299 \nL 98.56705 169.268617 \nL 95.87734 168.900165 \nL 93.053623 168.318337 \nL 90.111256 167.490231 \nL 87.072961 166.380108 \nL 83.970349 164.950295 \nL 80.845429 163.162675 \nL 77.752008 160.980909 \nL 74.756686 158.373572 \nL 71.939192 155.318229 \nL 69.391618 151.806431 \nL 67.216201 147.849391 \nL 65.521192 143.483794 \nL 64.414646 138.776867 \nL 63.99618 133.829518 \nL 64.347271 128.776178 \nL 65.521184 123.78016 \nL 67.534124 119.023793 \nL 70.359464 114.693758 \nL 73.926612 110.963286 \nL 78.125356 107.97402 \nL 82.815355 105.821048 \nL 87.839238 104.544037 \nL 93.036931 104.126264 \nL 98.258759 104.501295 \nL 103.375365 105.565432 \nL 108.283497 107.192922 \nL 112.907778 109.250895 \nL 117.199267 111.611739 \nL 121.131968 114.161669 \nL 124.698419 116.805411 \nL 127.905188 119.467556 \nL 130.768807 122.091576 \nL 133.312389 124.637446 \nL 135.562976 127.078704 \nL 139.301548 131.59166 \nL 142.216557 135.584575 \nL 145.508186 140.646736 \nL 149.515289 146.989029 \nL 150.970133 148.912095 \nL 152.481109 150.524459 \nL 154.121214 151.837422 \nL 155.953841 152.850767 \nL 158.035817 153.552638 \nL 160.419162 153.919327 \nL 163.151304 153.915096 \nL 166.273319 153.492238 \nL 169.815646 152.592059 \nL 173.790486 151.147704 \nL 178.179993 149.090422 \nL 180.512451 147.812699 \nL 182.919588 146.361446 \nL 185.382508 144.734162 \nL 187.876543 142.932017 \nL 190.370518 140.961055 \nL 192.826151 138.833513 \nL 195.197667 136.569183 \nL 197.431791 134.196736 \nL 199.468259 131.754785 \nL 201.241041 129.292468 \nL 202.680417 126.869282 \nL 203.716021 124.553843 \nL 204.280852 122.421331 \nL 204.316132 120.549427 \nL 203.776636 119.012885 \nL 202.635964 117.877058 \nL 200.890978 117.191168 \nL 198.564604 116.982296 \nL 195.706312 117.25132 \nL 192.389811 117.971751 \nL 188.70811 119.091997 \nL 184.766477 120.540898 \nL 180.674366 122.235605 \nL 172.451403 126.024693 \nL 164.735499 129.871543 \nL 154.988974 135.021243 \nL 149.893853 137.916976 \nL 145.855377 140.454677 \nL 142.72742 142.741371 \nL 140.340657 144.872081 \nL 138.530934 146.913662 \nL 137.152762 148.904973 \nL 136.083821 150.863592 \nL 134.847987 153.746826 \nL 131.774254 161.84803 \nL 130.473264 164.317805 \nL 129.426211 165.896142 \nL 128.192235 167.419783 \nL 126.7295 168.887487 \nL 124.990095 170.295391 \nL 122.918655 171.634884 \nL 120.45133 172.889557 \nL 117.515428 174.030786 \nL 114.030339 175.011358 \nL 109.910832 175.756424 \nL 107.586993 176.006722 \nL 105.074562 176.151105 \nL 102.366077 176.166324 \nL 99.45666 176.024462 \nL 96.34517 175.692346 \nL 93.035668 175.13104 \nL 89.539233 174.295517 \nL 85.876127 173.134684 \nL 82.078334 171.59194 \nL 78.192364 169.606579 \nL 74.28216 167.116343 \nL 70.431757 164.061543 \nL 66.747241 160.391072 \nL 63.357225 156.070521 \nL 60.410973 151.092313 \nL 58.073158 145.487138 \nL 56.514408 139.335263 \nL 55.897348 132.775267 \nL 56.358775 126.007107 \nL 57.990068 119.286172 \nL 60.819327 112.906114 \nL 64.799508 107.170611 \nL 69.806575 102.357626 \nL 75.649625 98.683081 \nL 82.091794 96.272348 \nL 88.877665 95.146774 \nL 95.7611 95.228214 \nL 102.527749 96.359422 \nL 109.008812 98.334028 \nL 115.085458 100.928124 \nL 120.685729 103.927038 \nL 125.776919 107.143483 \nL 130.356213 110.426681 \nL 134.441696 113.663934 \nL 138.064797 116.777217 \nL 144.083331 122.456911 \nL 148.749876 127.301142 \nL 153.91865 133.060309 \nL 158.766164 138.411727 \nL 160.757698 140.289465 \nL 162.648817 141.721395 \nL 164.538683 142.749159 \nL 166.499536 143.399014 \nL 168.580469 143.685018 \nL 170.809566 143.612455 \nL 173.194354 143.1817 \nL 175.720672 142.392814 \nL 178.350265 141.251132 \nL 181.017737 139.774001 \nL 183.627926 137.998428 \nL 186.055264 135.988835 \nL 188.147297 133.843064 \nL 189.734586 131.69393 \nL 190.285578 130.667848 \nL 190.648544 129.703012 \nL 190.806729 128.82141 \nL 190.746881 128.044191 \nL 190.460143 127.390672 \nL 189.942834 126.877323 \nL 189.197011 126.516816 \nL 188.23076 126.317284 \nL 187.058148 126.281809 \nL 185.69883 126.408257 \nL 184.177311 126.6895 \nL 180.763557 127.66647 \nL 177.066646 129.083609 \nL 173.336407 130.789829 \nL 169.788403 132.644599 \nL 166.58387 134.538727 \nL 163.825096 136.400323 \nL 161.562271 138.189548 \nL 159.806153 139.888137 \nL 158.541842 141.488854 \nL 157.740797 142.987503 \nL 157.370008 144.378046 \nL 157.398226 145.650224 \nL 157.799721 146.788783 \nL 158.556112 147.773458 \nL 159.656786 148.579162 \nL 161.098234 149.176128 \nL 162.882495 149.529944 \nL 165.014703 149.601578 \nL 167.499598 149.347698 \nL 170.336675 148.72172 \nL 173.513646 147.676233 \nL 176.99782 146.167644 \nL 180.725341 144.16412 \nL 184.588762 141.657743 \nL 188.424657 138.681271 \nL 190.263596 137.043036 \nL 192.004897 135.328191 \nL 193.610052 133.561036 \nL 195.037519 131.771576 \nL 196.24383 129.995361 \nL 197.18515 128.272865 \nL 197.819273 126.648315 \nL 198.10798 125.167858 \nL 198.019638 123.877168 \nL 197.531863 122.818552 \nL 196.633906 122.027836 \nL 195.328514 121.53134 \nL 193.632904 121.343398 \nL 191.57868 121.464793 \nL 189.210516 121.882447 \nL 186.583726 122.570527 \nL 183.760949 123.492821 \nL 180.808331 124.606092 \nL 174.772951 127.220444 \nL 168.942486 130.067288 \nL 163.65414 132.889435 \nL 159.098696 135.54621 \nL 155.341622 137.994051 \nL 152.361101 140.247879 \nL 150.085461 142.345667 \nL 148.422016 144.325572 \nL 147.276094 146.215287 \nL 146.561999 148.029614 \nL 146.208344 149.772152 \nL 146.159865 151.438288 \nL 146.37723 153.017995 \nL 146.835905 154.497844 \nL 147.524697 155.862078 \nL 148.444358 157.09285 \nL 149.606403 158.16982 \nL 151.032204 159.069179 \nL 152.752284 159.762212 \nL 154.805654 160.213469 \nL 157.23892 160.37857 \nL 160.104749 160.20173 \nL 163.459008 159.613275 \nL 167.355632 158.527626 \nL 171.837781 156.842876 \nL 174.305566 155.740178 \nL 176.923397 154.443929 \nL 179.685918 152.939317 \nL 182.582875 151.212571 \nL 185.597861 149.252023 \nL 188.706904 147.049519 \nL 191.876955 144.602208 \nL 195.064377 141.914714 \nL 198.213539 139.001703 \nL 201.255763 135.890664 \nL 204.108907 132.624739 \nL 206.67795 129.265202 \nL 208.856979 125.893004 \nL 210.533048 122.608727 \nL 211.592166 119.530109 \nL 211.927532 116.786374 \nL 211.449632 114.509044 \nL 210.097293 112.819388 \nL 207.848102 111.813838 \nL 204.726162 111.549577 \nL 200.805081 112.033557 \nL 196.204705 113.217885 \nL 191.081362 115.003749 \nL 185.612962 117.253757 \nL 179.98171 119.810319 \nL 168.886418 125.23079 \nL 150.29927 134.497465 \nL 135.77417 141.642637 \nL 132.087725 143.706166 \nL 129.209422 145.588436 \nL 126.901428 147.385992 \nL 124.964668 149.145093 \nL 118.123759 155.797065 \nL 116.152163 157.259732 \nL 113.937326 158.578856 \nL 111.428805 159.711338 \nL 108.585783 160.603547 \nL 105.379706 161.187563 \nL 103.636255 161.337898 \nL 101.799871 161.377302 \nL 99.873506 161.291692 \nL 97.862588 161.065617 \nL 95.775527 160.682355 \nL 93.624266 160.12413 \nL 91.424869 159.372492 \nL 89.198105 158.408876 \nL 86.969998 157.215412 \nL 84.772255 155.776018 \nL 82.642497 154.077774 \nL 80.624216 152.112626 \nL 78.766277 149.879312 \nL 77.121924 147.385479 \nL 75.747117 144.649764 \nL 74.698207 141.703624 \nL 74.028912 138.592567 \nL 73.786783 135.376442 \nL 74.009364 132.128419 \nL 74.720486 128.932438 \nL 75.927154 125.879036 \nL 77.617535 123.059826 \nL 79.760457 120.561076 \nL 82.306671 118.457217 \nL 85.191781 116.805179 \nL 88.340577 115.640335 \nL 91.672149 114.974716 \nL 95.105149 114.797639 \nL 98.562527 115.078513 \nL 101.975291 115.771238 \nL 105.284998 116.81943 \nL 108.444987 118.161656 \nL 111.420487 119.736067 \nL 114.18788 121.484083 \nL 116.733408 123.352863 \nL 119.051606 125.296735 \nL 121.14366 127.277686 \nL 123.015847 129.265183 \nL 124.678142 131.235538 \nL 126.143023 133.171051 \nL 128.537292 136.890988 \nL 130.316097 140.367918 \nL 131.592852 143.58598 \nL 132.467759 146.552517 \nL 133.023976 149.286461 \nL 133.327022 151.811394 \nL 133.425914 154.151649 \nL 133.355093 156.330294 \nL 133.136496 158.368211 \nL 132.781459 160.283817 \nL 132.29224 162.093081 \nL 131.66312 163.809696 \nL 130.881053 165.445225 \nL 129.925907 167.009145 \nL 128.770331 168.508686 \nL 127.379305 169.948353 \nL 125.709447 171.328979 \nL 123.708196 172.646117 \nL 121.313053 173.88745 \nL 118.451234 175.028799 \nL 115.040323 176.028124 \nL 110.990976 176.816775 \nL 108.698556 177.100417 \nL 106.213429 177.287158 \nL 103.526457 177.354758 \nL 100.630679 177.276274 \nL 97.52241 177.019383 \nL 94.202649 176.545747 \nL 90.678858 175.810514 \nL 86.967138 174.7621 \nL 83.094817 173.342431 \nL 79.103421 171.487954 \nL 75.051865 169.131745 \nL 71.019601 166.207162 \nL 67.109268 162.65344 \nL 63.448108 158.423614 \nL 60.187236 153.494833 \nL 57.497611 147.880617 \nL 55.561628 141.643836 \nL 54.559642 134.90807 \nL 54.651673 127.864081 \nL 55.955957 120.76745 \nL 58.527815 113.924207 \nL 62.343578 107.663367 \nL 67.294468 102.299054 \nL 73.193669 98.08901 \nL 79.796483 95.198975 \nL 86.829576 93.68208 \nL 94.022626 93.478449 \nL 101.135419 94.434083 \nL 107.975573 96.332743 \nL 114.405478 98.931856 \nL 120.340107 101.994165 \nL 125.738987 105.310175 \nL 130.595762 108.710027 \nL 134.927914 112.066379 \nL 138.768083 115.291131 \nL 145.140949 121.149396 \nL 150.072248 126.102769 \nL 161.570105 138.157538 \nL 163.508463 139.733241 \nL 165.364287 140.88116 \nL 167.221887 141.642084 \nL 169.138809 142.042961 \nL 171.149157 142.100801 \nL 173.265418 141.826785 \nL 175.47891 141.230623 \nL 177.759172 140.325455 \nL 180.052885 139.133222 \nL 182.283132 137.690435 \nL 184.35017 136.053469 \nL 186.13512 134.302395 \nL 187.507944 132.541438 \nL 188.340522 130.894249 \nL 188.51901 130.154633 \nL 188.524398 129.49264 \nL 188.349479 128.923158 \nL 187.990697 128.459219 \nL 187.448534 128.111362 \nL 186.72776 127.887108 \nL 185.837459 127.79059 \nL 184.790855 127.822355 \nL 182.299659 128.255412 \nL 179.422645 129.125484 \nL 176.352228 130.336617 \nL 173.277696 131.77962 \nL 170.363017 133.352141 \nL 167.733842 134.971487 \nL 165.474164 136.578654 \nL 163.630379 138.135603 \nL 162.21942 139.61916 \nL 161.238012 141.014417 \nL 160.671132 142.309401 \nL 160.498737 143.491504 \nL 160.700529 144.545457 \nL 161.258882 145.452448 \nL 162.160237 146.189826 \nL 163.395194 146.731169 \nL 164.957543 147.046516 \nL 166.842263 147.102821 \nL 169.042486 146.864775 \nL 171.545313 146.29639 \nL 174.326343 145.363716 \nL 177.342872 144.039353 \nL 180.525975 142.309245 \nL 183.77223 140.18212 \nL 186.936677 137.701294 \nL 189.829818 134.957176 \nL 191.104252 133.530023 \nL 192.222644 132.096872 \nL 193.153048 130.68513 \nL 193.864079 129.325041 \nL 194.32629 128.048745 \nL 194.513748 126.888997 \nL 194.405691 125.877578 \nL 193.988126 125.043495 \nL 193.255238 124.411099 \nL 192.210414 123.998372 \nL 190.866746 123.81548 \nL 189.246889 123.863962 \nL 187.382231 124.136553 \nL 185.311436 124.617775 \nL 183.078467 125.28525 \nL 178.314447 127.066359 \nL 173.460269 129.238913 \nL 168.833781 131.579776 \nL 164.663798 133.924886 \nL 161.083168 136.179546 \nL 158.143004 138.305757 \nL 155.836103 140.300537 \nL 154.120425 142.175978 \nL 152.93803 143.945736 \nL 152.228388 145.61807 \nL 151.93668 147.193503 \nL 152.018338 148.665023 \nL 152.441032 150.019218 \nL 153.185054 151.237383 \nL 154.242779 152.296206 \nL 155.617601 153.167817 \nL 157.322509 153.819319 \nL 159.378302 154.211885 \nL 161.811216 154.299628 \nL 164.649618 154.028577 \nL 167.919119 153.336205 \nL 171.635348 152.15238 \nL 175.793391 150.402902 \nL 180.352951 148.017588 \nL 182.756289 146.569151 \nL 185.218703 144.945219 \nL 187.715795 143.146351 \nL 190.216726 141.177925 \nL 192.683561 139.05145 \nL 195.070866 136.785957 \nL 197.325649 134.409323 \nL 199.38781 131.959377 \nL 201.191309 129.484553 \nL 202.666158 127.043799 \nL 203.741412 124.705434 \nL 204.349132 122.544683 \nL 204.42921 120.639725 \nL 203.934747 119.066304 \nL 202.837391 117.891254 \nL 201.131921 117.165679 \nL 198.839252 116.918804 \nL 196.007121 117.153626 \nL 192.707989 117.845497 \nL 189.034242 118.944134 \nL 185.09121 120.378999 \nL 180.989062 122.067111 \nL 172.725302 125.861659 \nL 164.951668 129.729404 \nL 155.111942 134.915755 \nL 149.960803 137.830381 \nL 145.874669 140.380726 \nL 142.7076 142.674895 \nL 140.289235 144.809645 \nL 138.453895 146.853425 \nL 137.054473 148.846262 \nL 135.967134 150.806444 \nL 134.706159 153.692853 \nL 131.542309 161.809926 \nL 130.196572 164.285603 \nL 129.113023 165.86733 \nL 127.836023 167.393412 \nL 126.322591 168.861929 \nL 124.523576 170.268021 \nL 122.38232 171.601595 \nL 119.833741 172.844056 \nL 116.804184 173.96358 \nL 113.212744 174.908331 \nL 108.975234 175.596927 \nL 106.588977 175.808546 \nL 104.012805 175.905506 \nL 101.240364 175.862997 \nL 98.268302 175.651382 \nL 95.09752 175.23564 \nL 91.734751 174.574943 \nL 88.194482 173.622468 \nL 84.501228 172.325602 \nL 80.692139 170.626819 \nL 76.81981 168.465475 \nL 72.955053 165.780906 \nL 69.189301 162.517169 \nL 65.636 158.629749 \nL 62.430256 154.094324 \nL 59.72578 148.917277 \nL 57.688204 143.147008 \nL 56.484088 136.884285 \nL 56.265666 130.288962 \nL 57.152468 123.57985 \nL 59.21238 117.024841 \nL 62.44596 110.91983 \nL 66.778204 105.557801 \nL 72.061055 101.192864 \nL 78.087493 98.006771 \nL 84.614868 96.085952 \nL 91.392478 95.414712 \nL 98.187381 95.885775 \nL 104.803546 97.324329 \nL 111.091982 99.518618 \nL 116.952231 102.249635 \nL 122.327524 105.314492 \nL 127.1965 108.541004 \nL 131.564062 111.793822 \nL 135.453003 114.974054 \nL 138.897208 118.014925 \nL 144.613436 123.534917 \nL 149.048013 128.229213 \nL 159.666318 139.972088 \nL 161.575116 141.57126 \nL 163.458415 142.755222 \nL 165.397597 143.553784 \nL 167.450249 143.983384 \nL 169.65283 144.050273 \nL 172.021617 143.754055 \nL 174.551934 143.091941 \nL 177.21589 142.063926 \nL 179.959051 140.679265 \nL 182.696956 138.964199 \nL 185.312879 136.970392 \nL 187.658862 134.78269 \nL 189.562562 132.52366 \nL 190.291502 131.415677 \nL 190.842124 130.351418 \nL 191.194132 129.354171 \nL 191.330031 128.447243 \nL 191.236149 127.65295 \nL 190.903628 126.991517 \nL 190.329234 126.47998 \nL 189.515953 126.131151 \nL 188.473253 125.952832 \nL 187.216996 125.94732 \nL 185.768941 126.111262 \nL 184.155881 126.435983 \nL 180.559934 127.51075 \nL 176.69586 129.028403 \nL 172.825615 130.826578 \nL 169.170531 132.758535 \nL 165.891783 134.713925 \nL 163.08753 136.623184 \nL 160.801816 138.450302 \nL 159.038885 140.180857 \nL 157.777987 141.810662 \nL 156.985884 143.337589 \nL 156.626138 144.756818 \nL 156.665261 146.058727 \nL 157.076317 147.228346 \nL 157.840588 148.245499 \nL 158.947864 149.085068 \nL 160.395722 149.717145 \nL 162.187948 150.106968 \nL 164.332135 150.214829 \nL 166.836257 149.996173 \nL 169.703912 149.402386 \nL 172.927799 148.382885 \nL 176.481012 146.889415 \nL 180.30589 144.88372 \nL 184.300741 142.349707 \nL 188.305967 139.310825 \nL 190.243899 137.625501 \nL 192.093034 135.851757 \nL 193.81367 134.013371 \nL 195.362439 132.140314 \nL 196.693345 130.268746 \nL 197.759319 128.440546 \nL 198.514234 126.70222 \nL 198.915396 125.103124 \nL 198.926367 123.692997 \nL 198.519915 122.518868 \nL 197.680789 121.621625 \nL 196.407996 121.032527 \nL 194.716184 120.770251 \nL 192.635858 120.838792 \nL 190.212248 121.226795 \nL 187.502854 121.90843 \nL 184.57394 122.845799 \nL 181.496334 123.992536 \nL 175.175651 126.712093 \nL 169.046699 129.685503 \nL 163.478167 132.627281 \nL 158.678206 135.382094 \nL 154.71713 137.904029 \nL 151.569649 140.212903 \nL 149.15639 142.354018 \nL 147.37556 144.372404 \nL 146.123537 146.30105 \nL 145.306514 148.158468 \nL 144.845979 149.950811 \nL 144.680412 151.675403 \nL 144.764863 153.32403 \nL 145.069559 154.885304 \nL 145.578198 156.346058 \nL 146.286352 157.691851 \nL 147.200159 158.906787 \nL 148.335381 159.972815 \nL 149.716797 160.868593 \nL 151.377872 161.56797 \nL 153.360516 162.038082 \nL 155.714715 162.237059 \nL 158.497636 162.111346 \nL 161.771629 161.59278 \nL 165.600179 160.595816 \nL 170.040448 159.015741 \nL 172.503095 157.969215 \nL 175.130402 156.729664 \nL 177.920703 155.280004 \nL 180.867948 153.603429 \nL 183.960422 151.684347 \nL 187.179257 149.509649 \nL 190.496761 147.070415 \nL 193.874616 144.364091 \nL 197.262074 141.397145 \nL 200.594328 138.188174 \nL 203.791332 134.771302 \nL 206.757435 131.19956 \nL 209.382329 127.547731 \nL 211.54384 123.913931 \nL 213.113063 120.418968 \nL 213.96222 117.202436 \nL 213.975229 114.414673 \nL 213.060354 112.204228 \nL 211.163466 110.70147 \nL 208.279799 110.000427 \nL 204.461325 110.142274 \nL 199.817391 111.104625 \nL 194.507115 112.800381 \nL 188.724245 115.087636 \nL 182.677064 117.789273 \nL 170.573404 123.698525 \nL 154.508354 131.736893 \nL 145.966928 135.817758 \nL 129.82744 143.333807 \nL 126.64956 145.09467 \nL 124.104956 146.747445 \nL 121.006175 149.139293 \nL 116.461428 152.911253 \nL 114.540629 154.278528 \nL 112.446723 155.511761 \nL 110.126387 156.566746 \nL 107.540875 157.391483 \nL 104.667164 157.924015 \nL 101.501599 158.090293 \nL 99.815033 158.009341 \nL 98.066244 157.80314 \nL 96.263483 157.45898 \nL 94.417841 156.963757 \nL 92.543617 156.304306 \nL 90.658655 155.467877 \nL 88.784622 154.442766 \nL 86.94721 153.219127 \nL 85.176147 151.789935 \nL 83.50503 150.152124 \nL 81.97084 148.307842 \nL 80.613146 146.265751 \nL 79.472894 144.042242 \nL 78.590813 141.662455 \nL 78.005432 139.160889 \nL 77.750812 136.581422 \nL 77.85415 133.976562 \nL 78.333467 131.405824 \nL 79.195629 128.933182 \nL 80.435013 126.623772 \nL 82.032993 124.540028 \nL 83.958424 122.737736 \nL 86.169139 121.262386 \nL 88.614303 120.146313 \nL 91.237394 119.407036 \nL 93.979452 119.046867 \nL 96.782254 119.053908 \nL 99.591084 119.404085 \nL 102.356907 120.063988 \nL 105.037788 120.994015 \nL 107.599628 122.151467 \nL 110.016244 123.493299 \nL 112.268972 124.978298 \nL 114.345919 126.568655 \nL 116.241028 128.230922 \nL 117.953061 129.936449 \nL 119.484602 131.661404 \nL 120.841126 133.386525 \nL 122.03017 135.096665 \nL 123.942161 138.428897 \nL 125.298204 141.599259 \nL 126.175365 144.58197 \nL 126.642008 147.371754 \nL 126.753647 149.974855 \nL 126.551398 152.403074 \nL 126.061948 154.669891 \nL 125.298301 156.78793 \nL 124.260828 158.767205 \nL 122.938342 160.61368 \nL 121.309136 162.327798 \nL 119.342023 163.902635 \nL 116.997593 165.321435 \nL 114.230081 166.554125 \nL 110.990448 167.55258 \nL 109.1786 167.942488 \nL 107.231656 168.244372 \nL 105.145489 168.444117 \nL 102.91747 168.525072 \nL 100.547079 168.467797 \nL 98.036633 168.249846 \nL 95.392185 167.845641 \nL 92.624556 167.22649 \nL 89.750538 166.360823 \nL 86.794213 165.214749 \nL 83.788335 163.753044 \nL 80.775695 161.940731 \nL 77.810266 159.745352 \nL 74.957962 157.140054 \nL 72.29666 154.107546 \nL 69.915154 150.644802 \nL 67.910706 146.76825 \nL 66.384815 142.518902 \nL 65.43713 137.96656 \nL 65.157649 133.212034 \nL 65.617779 128.386145 \nL 66.861362 123.644596 \nL 68.897105 119.158216 \nL 71.693992 115.099143 \nL 75.181026 111.624639 \nL 79.251822 108.861072 \nL 83.773636 106.891102 \nL 88.599364 105.746532 \nL 93.580412 105.40818 \nL 98.578308 105.81238 \nL 103.473421 106.862358 \nL 108.170033 108.441841 \nL 112.597885 110.428363 \nL 116.710896 112.704227 \nL 120.48409 115.164136 \nL 123.909661 117.719413 \nL 126.992931 120.299333 \nL 129.748669 122.850307 \nL 132.197986 125.333874 \nL 134.36587 127.724095 \nL 137.9659 132.167728 \nL 140.766603 136.130165 \nL 142.971628 139.623062 \nL 148.981389 149.696041 \nL 150.349823 151.41731 \nL 151.827682 152.860861 \nL 153.476888 154.029354 \nL 155.354095 154.91468 \nL 157.512994 155.497539 \nL 160.005408 155.746784 \nL 162.880879 155.618745 \nL 166.184218 155.056787 \nL 169.950335 153.991845 \nL 174.195304 152.345072 \nL 176.493929 151.277704 \nL 178.902463 150.034518 \nL 181.410448 148.606988 \nL 184.002557 146.988595 \nL 186.65766 145.175869 \nL 189.347866 143.169631 \nL 192.037609 140.976459 \nL 194.682878 138.610333 \nL 197.230724 136.094343 \nL 199.61923 133.462334 \nL 201.77815 130.760249 \nL 203.630459 128.046837 \nL 205.094979 125.393355 \nL 206.09029 122.881852 \nL 206.53987 120.601693 \nL 206.378259 118.64412 \nL 205.557776 117.095044 \nL 204.054931 116.026647 \nL 201.875547 115.488901 \nL 199.057482 115.502486 \nL 195.670082 116.054684 \nL 191.810013 117.099498 \nL 187.593829 118.562334 \nL 183.148343 120.348633 \nL 178.600371 122.354878 \nL 169.6508 126.633671 \nL 157.798237 132.654186 \nL 148.684111 137.509233 \nL 144.112755 140.156857 \nL 140.55916 142.488897 \nL 137.824589 144.62944 \nL 135.716323 146.666352 \nL 134.063585 148.651256 \nL 132.722425 150.608118 \nL 131.042917 153.501472 \nL 128.419495 158.161149 \nL 126.599103 160.809508 \nL 125.172753 162.494555 \nL 123.517633 164.103246 \nL 121.581613 165.622063 \nL 119.309106 167.031679 \nL 116.64049 168.303283 \nL 113.512842 169.393584 \nL 109.862772 170.23817 \nL 107.823303 170.540344 \nL 105.632537 170.742931 \nL 103.285977 170.827817 \nL 100.781268 170.773686 \nL 98.11902 170.55569 \nL 95.3038 170.145207 \nL 92.345336 169.509743 \nL 89.259923 168.613063 \nL 86.072013 167.415673 \nL 82.81595 165.875823 \nL 79.5377 163.951173 \nL 76.296455 161.60134 \nL 73.165767 158.791505 \nL 70.23391 155.497116 \nL 67.602946 151.709723 \nL 65.386044 147.44355 \nL 63.702539 142.742186 \nL 62.670538 137.684311 \nL 62.397192 132.386962 \nL 62.967379 127.00473 \nL 64.432209 121.723405 \nL 66.79937 116.747489 \nL 70.027507 112.282256 \nL 74.02637 108.512693 \nL 78.663484 105.582986 \nL 83.776517 103.580737 \nL 89.189152 102.52923 \nL 94.727484 102.38922 \nL 100.23405 103.069289 \nL 105.577545 104.441919 \nL 110.657547 106.361493 \nL 115.404788 108.680788 \nL 119.778195 111.263602 \nL 123.76016 113.992678 \nL 127.351247 116.773187 \nL 130.565181 119.532791 \nL 133.424571 122.219466 \nL 135.957507 124.798238 \nL 140.169054 129.556217 \nL 143.45316 133.739522 \nL 147.153808 138.981815 \nL 150.807488 144.314137 \nL 152.418575 146.380851 \nL 154.034038 148.094829 \nL 155.739852 149.475555 \nL 157.607522 150.529822 \nL 159.697644 151.252021 \nL 162.062062 151.624471 \nL 164.744326 151.617947 \nL 167.778097 151.192629 \nL 171.183022 150.300143 \nL 174.957552 148.887549 \nL 179.068174 146.904697 \nL 183.43497 144.316549 \nL 185.672547 142.793189 \nL 187.914382 141.122145 \nL 190.129771 139.31291 \nL 192.282178 137.380663 \nL 194.329212 135.347231 \nL 196.222946 133.241904 \nL 197.910733 131.101933 \nL 199.336588 128.972547 \nL 200.443268 126.906291 \nL 201.175009 124.961466 \nL 201.480922 123.199617 \nL 201.31881 121.681984 \nL 200.659108 120.465148 \nL 199.488507 119.596242 \nL 197.812694 119.108313 \nL 195.657729 119.016519 \nL 193.069649 119.315991 \nL 190.112135 119.981788 \nL 186.862442 120.971193 \nL 183.406066 122.228029 \nL 179.830869 123.688406 \nL 172.654408 126.961767 \nL 165.895669 130.33922 \nL 159.918385 133.529525 \nL 154.887101 136.413358 \nL 150.815148 138.992885 \nL 147.623582 141.328622 \nL 145.189791 143.492671 \nL 143.380052 145.544429 \nL 142.068205 147.523064 \nL 141.144621 149.449084 \nL 140.519196 151.329307 \nL 140.120988 153.162067 \nL 139.83615 155.808669 \nL 139.822233 158.30991 \nL 140.01129 160.643399 \nL 140.375009 162.791996 \nL 140.914497 164.742491 \nL 141.654718 166.482408 \nL 142.282055 167.517863 \nL 143.038755 168.44647 \nL 143.949649 169.259476 \nL 145.045451 169.944872 \nL 146.363699 170.486203 \nL 147.949841 170.861015 \nL 149.858421 171.038815 \nL 152.154209 170.978391 \nL 154.912991 170.624323 \nL 158.221511 169.902588 \nL 162.175653 168.715331 \nL 166.875296 166.935269 \nL 172.413255 164.4012 \nL 175.518818 162.791549 \nL 178.854364 160.917873 \nL 182.417669 158.752177 \nL 186.199046 156.266795 \nL 190.178902 153.43619 \nL 194.324818 150.239585 \nL 198.588267 146.6645 \nL 202.901043 142.711431 \nL 207.171733 138.399639 \nL 211.282719 133.773902 \nL 215.088451 128.911742 \nL 218.416034 123.930096 \nL 221.069435 118.989789 \nL 222.838692 114.295474 \nL 223.515235 110.088235 \nL 222.913537 106.628258 \nL 220.897657 104.166429 \nL 217.408839 102.90678 \nL 212.487932 102.966054 \nL 206.285238 104.340947 \nL 199.051832 106.894946 \nL 191.111232 110.37287 \nL 182.816934 114.442323 \nL 151.948105 130.338032 \nL 145.667902 133.247619 \nL 140.070245 135.625371 \nL 135.128641 137.517096 \nL 130.795164 138.991346 \nL 127.011415 140.123636 \nL 120.848429 141.642792 \nL 116.177488 142.538177 \nL 105.808121 144.135899 \nL 102.213469 144.579017 \nL 100.393077 144.580067 \nL 98.716552 144.310233 \nL 97.679908 143.961062 \nL 96.725645 143.472427 \nL 95.87774 142.849532 \nL 95.164783 142.10631 \nL 94.616691 141.265902 \nL 94.261255 140.360455 \nL 94.120603 139.430002 \nL 94.207987 138.520266 \nL 94.525244 137.679496 \nL 95.061333 136.954545 \nL 95.792287 136.386763 \nL 96.682616 136.008299 \nL 97.687965 135.83945 \nL 98.758612 135.887414 \nL 99.843242 136.146587 \nL 100.892456 136.600165 \nL 101.861558 137.222631 \nL 102.712448 137.982592 \nL 103.414563 138.845491 \nL 103.945027 139.775869 \nL 104.288207 140.739006 \nL 104.434963 141.701922 \nL 104.381813 142.633816 \nL 104.130169 143.506107 \nL 103.685824 144.292217 \nL 103.058715 144.967254 \nL 102.263014 145.507752 \nL 101.317504 145.891581 \nL 100.246203 146.09816 \nL 99.07908 146.109089 \nL 97.852733 145.90926 \nL 96.610781 145.488545 \nL 95.403685 144.843984 \nL 94.287711 143.98233 \nL 93.322718 142.922668 \nL 92.568642 141.698533 \nL 92.080712 140.358889 \nL 91.903801 138.967272 \nL 92.06668 137.598542 \nL 92.577213 136.333184 \nL 93.419615 135.249707 \nL 94.554584 134.416343 \nL 95.922572 133.883707 \nL 97.449648 133.6799 \nL 99.054841 133.809022 \nL 100.657588 134.253063 \nL 102.184003 134.97647 \nL 103.571197 135.931989 \nL 104.769442 137.066564 \nL 105.742382 138.326248 \nL 106.465877 139.65968 \nL 106.926055 141.020024 \nL 107.117116 142.365635 \nL 107.039306 143.659763 \nL 106.697326 144.869669 \nL 106.099326 145.965441 \nL 105.256542 146.918777 \nL 104.183597 147.701888 \nL 102.899418 148.286717 \nL 101.42869 148.644623 \nL 99.803755 148.746698 \nL 98.066729 148.564979 \nL 96.271503 148.074765 \nL 94.485164 147.25819 \nL 92.788168 146.109111 \nL 91.272476 144.638973 \nL 90.036913 142.88286 \nL 89.555078 141.916231 \nL 89.179337 140.90431 \nL 88.919998 139.859773 \nL 88.785853 138.797017 \nL 88.783787 137.731916 \nL 88.918423 136.681465 \nL 89.191817 135.663328 \nL 89.603248 134.695318 \nL 90.149106 133.794808 \nL 90.822911 132.978132 \nL 91.615444 132.260007 \nL 92.515009 131.653014 \nL 93.507798 131.167171 \nL 94.578341 130.809649 \nL 95.710013 130.584597 \nL 96.885566 130.493157 \nL 98.08765 130.533606 \nL 99.299285 130.701592 \nL 100.504301 130.990514 \nL 102.835743 131.896008 \nL 104.979444 133.168513 \nL 106.858752 134.717663 \nL 108.422481 136.455116 \nL 109.641409 138.301487 \nL 110.503282 140.189527 \nL 111.007605 142.064425 \nL 111.161008 143.882293 \nL 110.973646 145.607695 \nL 110.456759 147.210862 \nL 109.621385 148.664919 \nL 108.47816 149.943373 \nL 107.038127 151.01788 \nL 105.31453 151.856393 \nL 103.325551 152.421836 \nL 101.098015 152.671511 \nL 98.67193 152.557647 \nL 96.10564 152.029696 \nL 94.794447 151.594985 \nL 93.480964 151.039077 \nL 92.179756 150.357505 \nL 90.907221 149.547128 \nL 89.681522 148.606553 \nL 88.522438 147.536629 \nL 87.451072 146.340945 \nL 86.489452 145.026314 \nL 85.659962 143.603209 \nL 84.984651 142.086108 \nL 84.484413 140.493655 \nL 84.178063 138.848645 \nL 84.081378 137.177714 \nL 84.206151 135.510777 \nL 84.559335 133.880127 \nL 85.142387 132.319272 \nL 85.950829 130.861575 \nL 86.974166 129.538737 \nL 88.196113 128.379309 \nL 89.595185 127.407331 \nL 91.145581 126.641228 \nL 92.818312 126.09309 \nL 94.582458 125.76836 \nL 96.406441 125.66595 \nL 98.259265 125.778804 \nL 100.111564 126.094721 \nL 101.936464 126.59744 \nL 103.710181 127.267781 \nL 105.41239 128.084813 \nL 107.026358 129.026926 \nL 108.538891 130.072706 \nL 109.94013 131.201674 \nL 111.223231 132.394792 \nL 112.383996 133.634803 \nL 114.332497 136.196234 \nL 115.789532 138.78691 \nL 116.776446 141.336279 \nL 117.322386 143.796747 \nL 117.4573 146.137412 \nL 117.207376 148.338257 \nL 116.592455 150.385233 \nL 115.624997 152.266206 \nL 114.310216 153.967555 \nL 112.647204 155.471137 \nL 110.63098 156.751479 \nL 108.255601 157.772944 \nL 105.518604 158.486984 \nL 104.016155 158.709387 \nL 102.427172 158.829638 \nL 100.755427 158.837074 \nL 99.006466 158.719977 \nL 97.188006 158.465664 \nL 95.310354 158.060673 \nL 93.386849 157.491041 \nL 91.434296 156.742716 \nL 89.473362 155.802144 \nL 87.528909 154.657019 \nL 85.630189 153.297247 \nL 83.810839 151.716098 \nL 82.108632 149.911541 \nL 80.564853 147.887692 \nL 79.223279 145.65629 \nL 78.128699 143.238047 \nL 77.324974 140.663695 \nL 76.852678 137.974499 \nL 76.746461 135.221996 \nL 77.032341 132.46682 \nL 77.725205 129.77644 \nL 78.826831 127.221912 \nL 80.324737 124.873802 \nL 82.192102 122.797673 \nL 84.388857 121.049665 \nL 86.863882 119.672716 \nL 89.558085 118.693911 \nL 92.407994 118.123335 \nL 95.349448 117.954467 \nL 98.320989 118.166041 \nL 101.266611 118.724949 \nL 104.137722 119.58974 \nL 106.894253 120.714275 \nL 109.504991 122.051013 \nL 111.947279 123.553784 \nL 114.206269 125.179798 \nL 116.273907 126.89095 \nL 118.147793 128.654463 \nL 119.830041 130.443034 \nL 121.326199 132.234583 \nL 122.644299 134.011786 \nL 123.794032 135.761483 \nL 125.631491 139.142706 \nL 126.92655 142.332765 \nL 127.762518 145.316378 \nL 128.211197 148.09605 \nL 128.329805 150.683706 \nL 128.160228 153.095329 \nL 127.729547 155.347661 \nL 127.051122 157.45617 \nL 126.125817 159.433738 \nL 124.943088 161.289629 \nL 123.481888 163.028463 \nL 121.711389 164.648871 \nL 119.591699 166.141571 \nL 117.074841 167.486563 \nL 114.106484 168.649069 \nL 110.629165 169.573896 \nL 108.682196 169.922537 \nL 106.588157 170.177908 \nL 104.342298 170.323713 \nL 101.941658 170.340664 \nL 99.385782 170.206177 \nL 96.677617 169.894104 \nL 93.824588 169.374581 \nL 90.839869 168.614072 \nL 87.743848 167.575674 \nL 84.565724 166.219867 \nL 81.3452 164.505835 \nL 78.134068 162.393524 \nL 74.997534 159.846634 \nL 72.014911 156.836676 \nL 69.279326 153.348051 \nL 66.89595 149.384077 \nL 64.978288 144.973382 \nL 63.642212 140.175927 \nL 62.997648 135.087345 \nL 63.13838 129.840183 \nL 64.130973 124.600455 \nL 66.004477 119.558581 \nL 68.742946 114.914666 \nL 72.282691 110.859581 \nL 76.515496 107.554754 \nL 81.297793 105.114427 \nL 86.464348 103.594081 \nL 91.84396 102.98738 \nL 97.274302 103.231907 \nL 102.613563 104.221941 \nL 107.747559 105.824946 \nL 112.592269 107.898369 \nL 117.092622 110.303835 \nL 121.218825 112.917214 \nL 124.961542 115.634286 \nL 128.326903 118.372544 \nL 131.331995 121.070287 \nL 134.001103 123.68403 \nL 136.362781 126.185245 \nL 140.286925 130.791034 \nL 143.34969 134.840935 \nL 146.817605 139.930353 \nL 150.28976 145.139041 \nL 151.845714 147.17099 \nL 153.421506 148.864142 \nL 155.099059 150.23549 \nL 156.947396 151.289744 \nL 159.026067 152.019472 \nL 161.387219 152.405234 \nL 164.076039 152.415844 \nL 167.129161 152.008986 \nL 170.570573 151.132844 \nL 174.40438 149.729603 \nL 178.603781 147.742319 \nL 180.820106 146.514915 \nL 183.095926 145.126913 \nL 185.411873 143.577956 \nL 187.743281 141.87133 \nL 190.059634 140.015017 \nL 192.324155 138.022804 \nL 194.493637 135.91539 \nL 196.518636 133.721372 \nL 198.344141 131.477974 \nL 199.91088 129.231281 \nL 201.157346 127.035783 \nL 202.022613 124.952982 \nL 202.449895 123.048912 \nL 202.390694 121.39048 \nL 201.809208 120.040807 \nL 200.686529 119.053892 \nL 199.024011 118.469241 \nL 196.845211 118.307325 \nL 194.195909 118.566659 \nL 191.141908 119.223245 \nL 187.76481 120.232697 \nL 184.156197 121.534843 \nL 180.411078 123.060023 \nL 172.871079 126.494781 \nL 165.758864 130.035593 \nL 159.470601 133.359604 \nL 154.182829 136.337609 \nL 149.906341 138.976793 \nL 146.552151 141.348707 \nL 143.985182 143.53646 \nL 142.059529 145.607832 \nL 140.638208 147.607465 \nL 139.6023 149.559077 \nL 138.8537 151.471268 \nL 138.103666 154.263008 \nL 137.636266 156.945906 \nL 137.163544 161.122651 \nL 136.473693 167.615992 \nL 135.89695 170.695494 \nL 135.212256 172.939577 \nL 134.50257 174.521284 \nL 133.558557 176.037371 \nL 132.298255 177.507867 \nL 131.229063 178.472438 \nL 129.928822 179.430047 \nL 128.346256 180.383552 \nL 126.418976 181.332331 \nL 124.071535 182.269657 \nL 121.213575 183.178474 \nL 117.738616 184.024725 \nL 113.524453 184.746996 \nL 108.437139 185.240796 \nL 105.523469 185.352097 \nL 102.342044 185.335522 \nL 98.879869 185.154187 \nL 95.128083 184.762627 \nL 91.084162 184.105478 \nL 86.754802 183.116261 \nL 82.159606 181.716558 \nL 77.335658 179.815964 \nL 72.342903 177.313371 \nL 67.270169 174.100391 \nL 62.241261 170.067872 \nL 57.42012 165.116612 \nL 53.013412 159.173138 \nL 49.268286 152.210776 \nL 46.46263 144.274755 \nL 44.885267 135.507833 \nL 44.805107 126.169887 \nL 46.431275 116.642554 \nL 49.87059 107.409711 \nL 55.09311 99.008692 \nL 61.91783 91.956086 \nL 70.027188 86.66336 \nL 79.010185 83.365675 \nL 88.423424 82.086224 \nL 97.852982 82.647072 \nL 106.960765 84.72055 \nL 115.506878 87.901997 \nL 123.348955 91.781096 \nL 130.42604 95.995002 \nL 136.736205 100.256935 \nL 142.314912 104.362918 \nL 151.50892 111.650381 \nL 175.11172 131.236788 \nL 175.645257 131.958154 \nL 175.861759 132.555755 \nL 175.834071 133.083742 \nL 175.471054 133.818732 \nL 174.443053 135.01417 \nL 173.28823 136.400254 \nL 172.907865 137.199025 \nL 172.911298 137.675985 \nL 173.180238 138.013022 \nL 173.706946 138.18334 \nL 174.463459 138.167271 \nL 175.402489 137.955266 \nL 176.821653 137.377358 \nL 178.241763 136.519438 \nL 179.420316 135.504206 \nL 179.997558 134.74617 \nL 180.216015 134.087268 \nL 180.135646 133.744452 \nL 179.868993 133.502958 \nL 179.423117 133.377321 \nL 178.459526 133.42077 \nL 177.232648 133.735211 \nL 175.872527 134.282492 \nL 174.094641 135.26726 \nL 172.631725 136.387468 \nL 171.877482 137.216943 \nL 171.48283 137.96815 \nL 171.433943 138.398414 \nL 171.55898 138.755264 \nL 171.854976 139.025591 \nL 172.314768 139.197663 \nL 173.285817 139.250012 \nL 174.543209 139.034415 \nL 176.007585 138.541966 \nL 177.573589 137.78612 \nL 179.109325 136.809754 \nL 180.460938 135.690167 \nL 181.465444 134.538618 \nL 181.866956 133.819624 \nL 182.011805 133.188736 \nL 181.877627 132.685297 \nL 181.458151 132.34184 \nL 180.76527 132.180578 \nL 179.829106 132.211078 \nL 178.695917 132.429628 \nL 176.756372 133.072858 \nL 174.72614 134.012372 \nL 172.818597 135.13819 \nL 171.210073 136.341987 \nL 170.025429 137.529371 \nL 169.509435 138.272556 \nL 169.226455 138.95333 \nL 169.180645 139.553395 \nL 169.370714 140.055579 \nL 169.790977 140.443492 \nL 170.431927 140.701442 \nL 171.280324 140.814691 \nL 172.318796 140.770019 \nL 173.52502 140.556627 \nL 175.584719 139.906053 \nL 177.827644 138.861572 \nL 180.079547 137.465447 \nL 181.478227 136.385342 \nL 182.708337 135.236375 \nL 183.691859 134.075836 \nL 184.353824 132.970624 \nL 184.630156 131.992169 \nL 184.608798 131.572273 \nL 184.476314 131.209148 \nL 184.231488 130.909557 \nL 183.875183 130.679051 \nL 182.842325 130.440264 \nL 181.426918 130.506728 \nL 179.707636 130.866739 \nL 177.784017 131.486336 \nL 175.765167 132.316241 \nL 172.789807 133.832523 \nL 170.145601 135.514663 \nL 168.676493 136.65443 \nL 167.490833 137.769422 \nL 166.611339 138.833584 \nL 166.047914 139.825419 \nL 165.801375 140.725848 \nL 165.866676 141.516547 \nL 166.235323 142.178852 \nL 166.896867 142.693169 \nL 167.83945 143.038892 \nL 169.049482 143.194731 \nL 170.51048 143.139432 \nL 172.201142 142.853036 \nL 174.09275 142.31873 \nL 176.14604 141.525463 \nL 178.307819 140.471384 \nL 180.507822 139.168095 \nL 182.656544 137.645392 \nL 184.645162 135.955664 \nL 186.348808 134.17675 \nL 187.634483 132.411403 \nL 188.374189 130.781457 \nL 188.504968 130.057682 \nL 188.462605 129.415639 \nL 188.24069 128.869546 \nL 187.836543 128.431636 \nL 187.251582 128.111563 \nL 186.491509 127.915916 \nL 185.56628 127.847876 \nL 184.489883 127.907082 \nL 181.95674 128.388775 \nL 179.062993 129.295487 \nL 176.000181 130.529406 \nL 172.953948 131.982151 \nL 170.083003 133.553951 \nL 167.507374 135.16527 \nL 165.306056 136.759916 \nL 163.521603 138.301843 \nL 162.168393 139.768939 \nL 161.241737 141.14665 \nL 160.726099 142.422864 \nL 160.601529 143.584581 \nL 160.848172 144.616043 \nL 161.448987 145.497929 \nL 162.390959 146.207127 \nL 163.665073 146.716818 \nL 165.265204 146.996728 \nL 167.185995 147.013637 \nL 169.419692 146.732293 \nL 171.951811 146.117132 \nL 174.755527 145.135214 \nL 177.784751 143.761014 \nL 180.966207 141.9835 \nL 184.191317 139.815882 \nL 187.30968 137.307463 \nL 190.127073 134.555809 \nL 191.351598 133.134725 \nL 192.412016 131.715293 \nL 193.276749 130.325534 \nL 193.915149 128.996019 \nL 194.298935 127.758856 \nL 194.403772 126.646321 \nL 194.210895 125.689245 \nL 193.708661 124.915173 \nL 192.893821 124.34657 \nL 191.772417 123.999159 \nL 190.360096 123.880694 \nL 188.681774 123.990291 \nL 186.770658 124.318489 \nL 184.666632 124.848017 \nL 182.414218 125.555262 \nL 177.651603 127.388496 \nL 172.845283 129.579347 \nL 168.299726 131.913445 \nL 164.229147 134.237427 \nL 160.753957 136.465536 \nL 157.916532 138.565313 \nL 155.704655 140.536094 \nL 154.07426 142.390086 \nL 152.967435 144.139918 \nL 152.324924 145.792442 \nL 152.093819 147.346831 \nL 152.231695 148.794907 \nL 152.708355 150.122289 \nL 153.506076 151.309419 \nL 154.618995 152.332128 \nL 156.051977 153.161611 \nL 157.819135 153.763905 \nL 159.941934 154.098931 \nL 162.446644 154.119416 \nL 165.360749 153.769971 \nL 168.707643 152.986888 \nL 172.498823 151.69955 \nL 176.722585 149.834778 \nL 181.328352 147.326086 \nL 183.743131 145.81522 \nL 186.206345 144.130295 \nL 188.691131 142.273862 \nL 191.163974 140.253778 \nL 193.584183 138.084532 \nL 195.903608 135.788597 \nL 198.066796 133.397649 \nL 200.011721 130.953498 \nL 201.671266 128.508432 \nL 202.975601 126.124706 \nL 203.855517 123.872909 \nL 204.24672 121.828912 \nL 204.094824 120.069405 \nL 203.360688 118.666089 \nL 202.025419 117.679113 \nL 200.094317 117.150542 \nL 197.598938 117.098942 \nL 194.596669 117.51623 \nL 191.167565 118.367602 \nL 187.408681 119.594925 \nL 183.426662 121.123059 \nL 179.329703 122.868083 \nL 171.187977 126.680084 \nL 163.636904 130.477786 \nL 154.195946 135.508999 \nL 149.297112 138.335687 \nL 145.430126 140.823872 \nL 142.444078 143.079324 \nL 140.170505 145.19204 \nL 138.448853 147.223513 \nL 137.138192 149.208384 \nL 136.120772 151.16145 \nL 134.94108 154.034893 \nL 131.973008 162.090305 \nL 130.706808 164.54267 \nL 129.686299 166.110006 \nL 128.482601 167.623693 \nL 127.054728 169.083091 \nL 125.355587 170.485128 \nL 123.330574 171.822286 \nL 120.916475 173.079694 \nL 118.040968 174.230908 \nL 114.623276 175.231783 \nL 110.577023 176.011729 \nL 108.291205 176.286656 \nL 105.817 176.461583 \nL 103.146136 176.514229 \nL 100.272652 176.417729 \nL 97.193995 176.14002 \nL 93.91241 175.643273 \nL 90.436689 174.883484 \nL 86.784286 173.810354 \nL 82.983814 172.36767 \nL 79.077861 170.494425 \nL 75.125978 168.127056 \nL 71.20755 165.203141 \nL 67.424094 161.666982 \nL 63.900299 157.477341 \nL 60.7829 152.617314 \nL 58.236388 147.10587 \nL 56.434561 141.009781 \nL 55.547392 134.4537 \nL 55.72361 127.62528 \nL 57.070687 120.771882 \nL 59.635501 114.186038 \nL 63.390073 108.179101 \nL 68.226717 103.0457 \nL 73.965366 99.025587 \nL 80.37275 96.271368 \nL 87.189601 94.830273 \nL 94.159879 94.644431 \nL 101.055711 95.568578 \nL 107.693787 97.399508 \nL 113.941914 99.909064 \nL 119.717255 102.873353 \nL 124.979118 106.093609 \nL 129.719429 109.40749 \nL 133.953238 112.692106 \nL 137.710566 115.861281 \nL 141.030108 118.85975 \nL 146.528298 124.237259 \nL 150.792681 128.753252 \nL 160.138418 138.903136 \nL 162.080015 140.56648 \nL 163.957019 141.801492 \nL 165.856541 142.644941 \nL 167.839937 143.119502 \nL 169.945997 143.237239 \nL 172.192495 143.003339 \nL 174.576148 142.420331 \nL 177.071221 141.493086 \nL 179.627217 140.234705 \nL 182.166507 138.673352 \nL 184.583135 136.859391 \nL 186.744516 134.871682 \nL 188.498047 132.820887 \nL 189.171811 131.814681 \nL 189.684336 130.847066 \nL 190.017987 129.938377 \nL 190.157566 129.108921 \nL 190.091166 128.378152 \nL 189.810981 127.76378 \nL 189.313967 127.280865 \nL 188.602351 126.940995 \nL 187.68386 126.751626 \nL 186.571673 126.715636 \nL 185.284048 126.83121 \nL 182.276711 127.487689 \nL 178.878654 128.626747 \nL 175.326264 130.11733 \nL 171.840521 131.822378 \nL 168.601473 133.623622 \nL 165.736479 135.434191 \nL 163.320891 137.199206 \nL 161.38687 138.888726 \nL 159.935507 140.488191 \nL 158.9488 141.989882 \nL 158.399582 143.386889 \nL 158.258831 144.669653 \nL 158.500447 145.824399 \nL 159.10396 146.832654 \nL 160.055613 147.671284 \nL 161.348211 148.312636 \nL 162.97997 148.72466 \nL 164.952421 148.871041 \nL 167.267314 148.711601 \nL 169.922301 148.203253 \nL 172.905119 147.302157 \nL 176.185981 145.967707 \nL 179.708091 144.169302 \nL 183.37669 141.896695 \nL 187.047944 139.174305 \nL 188.824021 137.665799 \nL 190.520618 136.078555 \nL 192.10347 134.433057 \nL 193.535357 132.754853 \nL 194.776962 131.07451 \nL 195.788117 129.427238 \nL 196.529405 127.852032 \nL 196.964125 126.390313 \nL 197.060515 125.084031 \nL 196.794075 123.973316 \nL 196.149801 123.093833 \nL 195.124052 122.474092 \nL 193.725804 122.133003 \nL 191.977052 122.078137 \nL 189.912215 122.304837 \nL 187.576524 122.79653 \nL 185.023523 123.526178 \nL 182.31195 124.45872 \nL 176.653821 126.77089 \nL 171.052591 129.411693 \nL 165.861655 132.117137 \nL 161.305008 134.721419 \nL 157.48497 137.15258 \nL 154.411786 139.403161 \nL 152.037863 141.497394 \nL 150.286748 143.466907 \nL 149.073706 145.337407 \nL 148.318541 147.123846 \nL 147.952552 148.830491 \nL 147.921572 150.453012 \nL 148.186655 151.980913 \nL 148.723498 153.399381 \nL 149.52131 154.690365 \nL 150.581541 155.832832 \nL 151.91668 156.802321 \nL 153.549162 157.569932 \nL 155.510289 158.100825 \nL 157.838945 158.352377 \nL 160.579723 158.272101 \nL 163.779877 157.79561 \nL 167.484246 156.845153 \nL 171.726929 155.32969 \nL 174.054754 154.328722 \nL 176.518154 153.148271 \nL 179.111444 151.775709 \nL 181.824544 150.199492 \nL 184.641917 148.410079 \nL 187.541391 146.401155 \nL 190.492906 144.171112 \nL 193.457289 141.724891 \nL 196.385129 139.076045 \nL 199.215979 136.249025 \nL 201.878073 133.281419 \nL 204.288861 130.225903 \nL 206.356686 127.15147 \nL 207.983918 124.143368 \nL 209.071764 121.301174 \nL 209.526851 118.734457 \nL 209.269275 116.555683 \nL 208.241478 114.870565 \nL 206.416805 113.766626 \nL 203.806249 113.301678 \nL 200.461796 113.494354 \nL 196.475112 114.31908 \nL 191.971134 115.707233 \nL 187.097313 117.554875 \nL 182.010176 119.735811 \nL 171.787845 124.574771 \nL 150.503875 135.277055 \nL 141.942961 139.705403 \nL 137.764525 142.077013 \nL 134.532533 144.188441 \nL 132.013019 146.162927 \nL 129.999289 148.07341 \nL 128.317536 149.954148 \nL 121.600579 158.012227 \nL 119.786917 159.619729 \nL 117.71571 161.111701 \nL 115.331943 162.456195 \nL 112.583737 163.611361 \nL 109.423886 164.520835 \nL 107.677086 164.860492 \nL 105.814062 165.108147 \nL 103.832691 165.250092 \nL 101.732643 165.270609 \nL 99.515905 165.151825 \nL 97.18742 164.873651 \nL 94.755831 164.413808 \nL 92.234318 163.748018 \nL 89.641517 162.85041 \nL 87.00249 161.694223 \nL 84.349665 160.252864 \nL 81.723653 158.501446 \nL 79.173814 156.418827 \nL 76.758378 153.990203 \nL 74.543933 151.210212 \nL 72.604013 148.08641 \nL 71.016619 144.642786 \nL 69.860528 140.922953 \nL 69.210392 136.992291 \nL 69.130915 132.938425 \nL 69.670559 128.869312 \nL 70.8556 124.908477 \nL 72.685474 121.18741 \nL 75.130324 117.835597 \nL 78.131496 114.96947 \nL 81.605165 112.681885 \nL 85.448737 111.033921 \nL 89.549058 110.050421 \nL 93.791207 109.719969 \nL 98.066511 109.999036 \nL 102.278854 110.819321 \nL 106.348689 112.096696 \nL 110.214737 113.740191 \nL 113.833758 115.659799 \nL 117.178916 117.772304 \nL 120.237349 120.004959 \nL 123.007446 122.297199 \nL 125.496177 124.600809 \nL 127.716711 126.879047 \nL 129.686396 129.105164 \nL 131.425131 131.260712 \nL 134.294881 135.31788 \nL 136.495745 139.009416 \nL 138.185689 142.33959 \nL 140.057282 146.715307 \nL 143.833573 156.355341 \nL 144.699742 157.934237 \nL 145.67275 159.333283 \nL 146.791421 160.552733 \nL 148.09568 161.586437 \nL 149.628472 162.421206 \nL 151.43734 163.035743 \nL 153.575587 163.399096 \nL 156.102865 163.468558 \nL 159.084824 163.187049 \nL 162.591174 162.480171 \nL 166.691138 161.253396 \nL 171.444626 159.390573 \nL 174.079007 158.178806 \nL 176.886815 156.755968 \nL 179.864474 155.103587 \nL 183.003041 153.20387 \nL 186.286678 151.040898 \nL 189.690906 148.602262 \nL 193.180661 145.881209 \nL 196.708254 142.879339 \nL 200.21142 139.609859 \nL 203.611695 136.101284 \nL 206.81349 132.401314 \nL 209.704368 128.580426 \nL 212.157145 124.734449 \nL 214.034391 120.985128 \nL 215.195924 117.477401 \nL 215.509468 114.372349 \nL 214.864095 111.834947 \nL 213.185178 110.016887 \nL 210.448611 109.03627 \nL 206.691188 108.957583 \nL 202.014049 109.776768 \nL 196.576952 111.416208 \nL 190.583314 113.732456 \nL 184.258496 116.536064 \nL 177.825823 119.619093 \nL 149.632605 133.632395 \nL 141.510342 137.338908 \nL 126.443683 143.981941 \nL 123.457138 145.563462 \nL 121.023423 147.060402 \nL 117.966211 149.224496 \nL 114.225475 151.922004 \nL 112.265291 153.126592 \nL 110.150771 154.182093 \nL 107.835077 155.040934 \nL 105.289125 155.648622 \nL 102.502893 155.942591 \nL 99.488998 155.851605 \nL 97.908163 155.637333 \nL 96.288342 155.296847 \nL 94.640255 154.819787 \nL 92.977312 154.196102 \nL 91.315829 153.416465 \nL 89.675159 152.472807 \nL 88.077748 151.358967 \nL 86.549056 150.07147 \nL 85.117288 148.610352 \nL 83.812931 146.980091 \nL 82.668023 145.190472 \nL 81.715156 143.257396 \nL 80.986214 141.203466 \nL 80.510869 139.058267 \nL 80.314926 136.858195 \nL 80.418607 134.645754 \nL 80.834946 132.468252 \nL 81.568446 130.375916 \nL 82.614177 128.419512 \nL 83.95746 126.647625 \nL 85.574219 125.103929 \nL 87.432 123.824614 \nL 89.491584 122.836412 \nL 91.709043 122.155277 \nL 94.038019 121.786003 \nL 96.432001 121.722683 \nL 98.846391 121.949955 \nL 101.240214 122.444809 \nL 103.577344 123.178683 \nL 105.827268 124.11966 \nL 107.965381 125.234506 \nL 109.97289 126.490378 \nL 111.836444 127.856172 \nL 113.547554 129.303458 \nL 115.101912 130.807036 \nL 116.498668 132.345171 \nL 117.739713 133.89958 \nL 118.829025 135.455248 \nL 120.575296 138.524765 \nL 121.79046 141.486487 \nL 122.531156 144.303433 \nL 122.849485 146.958715 \nL 122.788286 149.447551 \nL 122.378852 151.771445 \nL 121.640236 153.93396 \nL 120.579542 155.937595 \nL 119.192802 157.781275 \nL 117.466262 159.457988 \nL 115.378106 160.952276 \nL 112.900819 162.23725 \nL 110.004616 163.270888 \nL 108.390716 163.675113 \nL 106.662614 163.991613 \nL 104.81868 164.208807 \nL 102.858642 164.31326 \nL 100.784057 164.289559 \nL 98.598861 164.120241 \nL 96.310029 163.785788 \nL 93.928297 163.264748 \nL 91.468988 162.534022 \nL 88.952868 161.56938 \nL 86.407022 160.346274 \nL 83.865659 158.841024 \nL 81.370735 157.032421 \nL 78.972295 154.903818 \nL 76.7283 152.445685 \nL 74.70381 149.658567 \nL 72.969284 146.556232 \nL 71.597879 143.168731 \nL 70.661634 139.544876 \nL 70.226717 135.753589 \nL 70.347964 131.883506 \nL 71.063286 128.040272 \nL 72.388684 124.341325 \nL 74.314706 120.908283 \nL 76.8051 117.857582 \nL 79.798164 115.290683 \nL 83.210782 113.285197 \nL 86.944711 111.888498 \nL 90.894146 111.114859 \nL 94.95349 110.946436 \nL 99.024217 111.337778 \nL 103.02007 112.222743 \nL 106.870237 113.522535 \nL 110.520561 115.153521 \nL 113.933094 117.033846 \nL 117.084547 119.088314 \nL 119.964077 121.251372 \nL 122.570857 123.468449 \nL 124.911718 125.696005 \nL 126.999034 127.900715 \nL 128.848932 130.058155 \nL 131.911332 134.169188 \nL 134.255367 137.956639 \nL 136.033813 141.405097 \nL 137.383423 144.528931 \nL 138.851791 148.667259 \nL 140.513071 154.356288 \nL 141.646821 158.041833 \nL 142.586699 160.385904 \nL 143.313109 161.763976 \nL 144.153392 162.996889 \nL 145.13836 164.081791 \nL 146.302069 165.010912 \nL 147.683297 165.770829 \nL 149.326893 166.341298 \nL 151.284988 166.693606 \nL 153.617918 166.788295 \nL 156.394604 166.572253 \nL 159.691847 165.975119 \nL 163.591665 164.905255 \nL 168.175197 163.245982 \nL 173.510855 160.853651 \nL 176.473737 159.330931 \nL 179.633405 157.560884 \nL 182.983324 155.521203 \nL 186.50962 153.190933 \nL 190.188982 150.552243 \nL 193.986276 147.592859 \nL 197.851944 144.309222 \nL 201.719371 140.710423 \nL 205.502486 136.822884 \nL 209.094066 132.695463 \nL 212.365354 128.40453 \nL 215.167797 124.058074 \nL 217.337815 119.79752 \nL 218.70544 115.795591 \nL 219.107347 112.248394 \nL 218.403983 109.360368 \nL 216.499294 107.322024 \nL 213.360059 106.282547 \nL 209.030388 106.322076 \nL 203.636767 107.43076 \nL 197.380266 109.501823 \nL 190.515685 112.343085 \nL 183.321513 115.705813 \nL 168.987887 122.951713 \nL 156.017164 129.52057 \nL 150.31748 132.261546 \nL 145.188518 134.601614 \nL 136.586465 138.187975 \nL 129.932874 140.650111 \nL 117.824283 144.926565 \nL 114.207559 146.508293 \nL 108.451242 149.235866 \nL 106.571471 149.925684 \nL 104.612674 150.439703 \nL 102.552169 150.732944 \nL 100.38912 150.759236 \nL 98.14465 150.47295 \nL 95.862748 149.831819 \nL 93.611198 148.801579 \nL 91.481397 147.362669 \nL 90.496592 146.489983 \nL 89.585704 145.518924 \nL 88.764973 144.455214 \nL 88.050856 143.30719 \nL 87.459536 142.085995 \nL 87.006359 140.805667 \nL 86.705231 139.483076 \nL 86.567966 138.137736 \nL 86.603672 136.791425 \nL 86.818175 135.467624 \nL 87.213559 134.190795 \nL 87.787842 132.985521 \nL 88.534848 131.875569 \nL 89.444267 130.882923 \nL 90.501942 130.026874 \nL 91.690354 129.323235 \nL 92.98927 128.783745 \nL 94.3765 128.415721 \nL 95.828735 128.221947 \nL 97.322371 128.200837 \nL 98.834283 128.346817 \nL 100.342505 128.650881 \nL 101.826775 129.101257 \nL 103.268932 129.684154 \nL 104.653175 130.384482 \nL 105.966168 131.18652 \nL 108.337245 133.033161 \nL 110.322206 135.105452 \nL 111.891895 137.300994 \nL 113.039795 139.537417 \nL 113.773898 141.751783 \nL 114.109818 143.897487 \nL 114.065567 145.94023 \nL 113.658038 147.853869 \nL 112.901021 149.61658 \nL 111.804552 151.207492 \nL 110.375402 152.603705 \nL 108.618627 153.777659 \nL 106.540191 154.694784 \nL 104.150768 155.311563 \nL 101.470862 155.574251 \nL 100.032653 155.553162 \nL 98.53734 155.418801 \nL 96.99338 155.161895 \nL 95.411272 154.772962 \nL 93.803837 154.242598 \nL 92.186445 153.561837 \nL 90.577216 152.722639 \nL 88.997124 151.718467 \nL 87.470005 150.54497 \nL 86.022388 149.200774 \nL 84.683176 147.688327 \nL 83.483061 146.01477 \nL 82.453707 144.192749 \nL 81.626667 142.241075 \nL 81.032068 140.185167 \nL 80.697084 138.057096 \nL 80.644318 135.89518 \nL 80.890209 133.743038 \nL 81.443592 131.648054 \nL 82.304617 129.659354 \nL 83.464141 127.825354 \nL 84.903714 126.191127 \nL 86.596225 124.795871 \nL 88.507136 123.67065 \nL 90.596239 122.836806 \nL 92.81973 122.305083 \nL 95.132414 122.075633 \nL 97.489807 122.138762 \nL 99.849989 122.476399 \nL 102.175041 123.063936 \nL 104.432047 123.872297 \nL 106.59363 124.869976 \nL 108.638094 126.02487 \nL 110.549214 127.305778 \nL 112.315802 128.683534 \nL 113.931115 130.131756 \nL 115.392172 131.627252 \nL 116.699073 133.150158 \nL 117.854331 134.683867 \nL 119.728409 137.732138 \nL 121.061272 140.694193 \nL 121.906815 143.524819 \nL 122.316739 146.201177 \nL 122.334978 148.714432 \nL 121.994785 151.063444 \nL 121.317621 153.250166 \nL 120.313176 155.276227 \nL 118.980111 157.140221 \nL 117.307281 158.835245 \nL 115.27543 160.346365 \nL 112.859538 161.647688 \nL 110.032185 162.69883 \nL 108.456178 163.112969 \nL 106.768581 163.440682 \nL 104.967937 163.670875 \nL 103.054076 163.790694 \nL 101.028566 163.785415 \nL 98.895236 163.638365 \nL 96.660797 163.330933 \nL 94.335523 162.842673 \nL 91.934028 162.151584 \nL 89.476075 161.234583 \nL 86.987397 160.068272 \nL 84.500456 158.630025 \nL 82.055053 156.89948 \nL 79.69865 154.860481 \nL 77.486247 152.503448 \nL 75.479678 149.828113 \nL 73.746068 146.846477 \nL 72.355387 143.585682 \nL 71.376987 140.090418 \nL 70.875202 136.424308 \nL 70.904293 132.669754 \nL 71.503168 128.925693 \nL 72.690589 125.303035 \nL 74.461586 121.917801 \nL 76.785846 118.882619 \nL 79.608521 116.297475 \nL 82.853589 114.241212 \nL 86.429405 112.765047 \nL 90.235634 111.889182 \nL 94.170573 111.603057 \nL 98.137848 111.868881 \nL 102.051692 112.627714 \nL 105.840387 113.806834 \nL 109.447829 115.327184 \nL 112.83351 117.109877 \nL 115.971287 119.081196 \nL 118.847456 121.175869 \nL 121.458502 123.338716 \nL 123.808851 125.52501 \nL 125.908799 127.69994 \nL 127.772725 129.837495 \nL 129.417623 131.91913 \nL 132.124618 135.86955 \nL 134.179963 139.502215 \nL 135.725371 142.812892 \nL 136.885018 145.82003 \nL 138.122554 149.823373 \nL 139.23037 154.367227 \nL 140.523351 159.861642 \nL 141.234012 162.127479 \nL 142.093518 164.108803 \nL 142.786917 165.275333 \nL 143.60569 166.316099 \nL 144.578536 167.224985 \nL 145.738902 167.991518 \nL 147.126235 168.599886 \nL 148.787246 169.027543 \nL 150.777135 169.243269 \nL 153.160608 169.204558 \nL 156.012402 168.854253 \nL 159.416743 168.116354 \nL 163.46474 166.891203 \nL 168.248059 165.050746 \nL 170.941328 163.851187 \nL 173.84623 162.4356 \nL 176.967045 160.77957 \nL 180.303611 158.857643 \nL 183.849652 156.644258 \nL 187.590741 154.115142 \nL 191.501863 151.249348 \nL 195.5446 148.032078 \nL 199.664051 144.458388 \nL 203.785652 140.537894 \nL 207.812278 136.300381 \nL 211.622137 131.802028 \nL 215.068265 127.131599 \nL 217.980638 122.41543 \nL 220.172036 117.819565 \nL 221.448793 113.546757 \nL 221.627014 109.826049 \nL 220.55386 106.893196 \nL 218.131752 104.962058 \nL 214.341287 104.190092 \nL 209.257106 104.644922 \nL 203.050594 106.28157 \nL 195.975847 108.939538 \nL 188.339943 112.364017 \nL 180.46398 116.247425 \nL 158.079928 127.791679 \nL 151.616717 130.957787 \nL 145.783084 133.646557 \nL 140.582186 135.867495 \nL 135.98687 137.665006 \nL 128.423077 140.242541 \nL 122.657141 141.886529 \nL 108.968186 145.485097 \nL 104.695286 146.69683 \nL 102.315703 147.080523 \nL 100.731214 147.128833 \nL 99.144587 146.977607 \nL 97.573068 146.60335 \nL 96.049819 145.989904 \nL 94.621735 145.131328 \nL 93.346493 144.035175 \nL 92.288358 142.725696 \nL 91.512489 141.24626 \nL 91.077832 139.660008 \nL 91.029242 138.047816 \nL 91.390013 136.502888 \nL 91.723858 135.786087 \nL 92.156312 135.122193 \nL 92.682286 134.522174 \nL 93.294955 133.995891 \nL 93.985903 133.551799 \nL 95.562475 132.935634 \nL 97.322538 132.706009 \nL 99.168924 132.865184 \nL 101.006285 133.38831 \nL 102.748856 134.229776 \nL 104.325485 135.331104 \nL 105.681743 136.628539 \nL 106.779588 138.059103 \nL 107.595362 139.564558 \nL 108.116951 141.093366 \nL 108.340821 142.601038 \nL 108.269363 144.049364 \nL 107.908885 145.405021 \nL 107.268357 146.637899 \nL 106.358963 147.719454 \nL 105.194435 148.621177 \nL 103.792167 149.313448 \nL 102.175003 149.76483 \nL 100.37365 149.942103 \nL 98.429487 149.811224 \nL 96.397495 149.339624 \nL 94.348748 148.500117 \nL 92.371702 147.276599 \nL 90.571223 145.671486 \nL 89.773468 144.733702 \nL 89.064236 143.714035 \nL 88.458604 142.621591 \nL 87.971084 141.467953 \nL 87.615111 140.267191 \nL 87.402513 139.035756 \nL 87.342975 137.792223 \nL 87.443529 136.556909 \nL 87.708108 135.351317 \nL 88.137199 134.197471 \nL 88.727638 133.117155 \nL 89.472573 132.131104 \nL 90.361576 131.258184 \nL 91.380967 130.514669 \nL 92.514262 129.913613 \nL 93.742771 129.464422 \nL 95.046267 129.172595 \nL 96.403698 129.039717 \nL 97.79389 129.063627 \nL 99.196195 129.238775 \nL 100.591057 129.556725 \nL 101.960452 130.006723 \nL 103.288216 130.576331 \nL 104.560255 131.252019 \nL 106.891514 132.865446 \nL 108.88373 134.736631 \nL 110.49636 136.765379 \nL 111.712423 138.867407 \nL 112.53139 140.975606 \nL 112.962647 143.038374 \nL 113.020234 145.016509 \nL 112.719079 146.879595 \nL 112.072673 148.602448 \nL 111.092064 150.161865 \nL 109.786008 151.533727 \nL 108.16218 152.690466 \nL 106.229452 153.59886 \nL 104.001245 154.218297 \nL 101.500063 154.499705 \nL 98.76324 154.385684 \nL 97.323829 154.160629 \nL 95.84968 153.812583 \nL 94.352714 153.333447 \nL 92.847069 152.715585 \nL 91.349256 151.95225 \nL 89.87823 151.038061 \nL 88.455387 149.96961 \nL 87.104413 148.746096 \nL 85.850983 147.370041 \nL 84.72228 145.847997 \nL 83.746306 144.191218 \nL 82.950968 142.416203 \nL 82.362992 140.545052 \nL 82.006661 138.605514 \nL 81.902469 136.630686 \nL 82.065787 134.658254 \nL 82.505645 132.729306 \nL 83.223763 130.886699 \nL 84.213977 129.173099 \nL 85.462103 127.628834 \nL 86.946338 126.289747 \nL 88.638167 125.185292 \nL 90.503682 124.337038 \nL 92.505246 123.75776 \nL 94.603293 123.451166 \nL 96.758134 123.412334 \nL 98.931585 123.628668 \nL 101.088332 124.08129 \nL 103.196938 124.74668 \nL 105.230494 125.598389 \nL 107.166893 126.608617 \nL 108.988828 127.749606 \nL 110.683537 128.994751 \nL 112.242381 130.319394 \nL 113.660321 131.701343 \nL 114.935351 133.121125 \nL 116.067925 134.562049 \nL 117.916575 137.453787 \nL 119.239549 140.292825 \nL 120.080096 143.026605 \nL 120.482128 145.624916 \nL 120.484271 148.072116 \nL 120.116509 150.36097 \nL 119.398671 152.487907 \nL 118.340204 154.449355 \nL 116.940814 156.238727 \nL 115.191794 157.843682 \nL 113.078045 159.243356 \nL 110.580959 160.40529 \nL 107.682606 161.281986 \nL 106.078979 161.593485 \nL 104.371797 161.807135 \nL 102.562139 161.91111 \nL 100.652775 161.892024 \nL 98.648636 161.734894 \nL 96.55735 161.423224 \nL 94.389829 160.939151 \nL 92.160913 160.263763 \nL 89.890021 159.377593 \nL 87.60179 158.261355 \nL 85.326622 156.89694 \nL 83.101089 155.268764 \nL 80.968055 153.365414 \nL 78.976414 151.18163 \nL 77.180319 148.720526 \nL 75.63775 145.995887 \nL 74.408363 143.034339 \nL 73.550565 139.877042 \nL 73.117921 136.580537 \nL 73.155114 133.216332 \nL 73.693818 129.868873 \nL 74.748983 126.631782 \nL 76.316119 123.602403 \nL 78.370058 120.875152 \nL 80.865573 118.534362 \nL 83.739916 116.64767 \nL 86.917023 115.260889 \nL 90.31283 114.395115 \nL 93.841016 114.046536 \nL 97.418388 114.188759 \nL 100.969313 114.777126 \nL 104.428837 115.754236 \nL 107.744394 117.055717 \nL 110.876212 118.615546 \nL 113.796707 120.370312 \nL 116.489208 122.262302 \nL 118.946285 124.241277 \nL 121.167979 126.265226 \nL 123.16009 128.3003 \nL 124.932621 130.320179 \nL 126.498462 132.305176 \nL 129.06971 136.118664 \nL 130.998425 139.677053 \nL 132.406183 142.962271 \nL 133.401293 145.981772 \nL 134.074506 148.755608 \nL 134.498299 151.308797 \nL 134.783492 154.780788 \nL 134.755553 157.893607 \nL 134.483179 160.714453 \nL 133.991474 163.297882 \nL 133.271805 165.68798 \nL 132.286907 167.920759 \nL 131.452044 169.336679 \nL 130.44441 170.703023 \nL 129.230696 172.025316 \nL 127.769934 173.306814 \nL 126.012342 174.547318 \nL 123.898091 175.741236 \nL 121.356174 176.874499 \nL 118.303768 177.919803 \nL 114.646786 178.829409 \nL 110.282891 179.524523 \nL 107.803353 179.754909 \nL 105.10917 179.880138 \nL 102.189995 179.874002 \nL 99.038149 179.70457 \nL 95.649996 179.333338 \nL 92.027718 178.714445 \nL 88.181568 177.794065 \nL 84.132644 176.510182 \nL 79.916183 174.79304 \nL 75.585316 172.566636 \nL 71.215053 169.751752 \nL 66.906094 166.271153 \nL 62.787741 162.057447 \nL 59.018903 157.064056 \nL 55.785786 151.279207 \nL 53.294784 144.742004 \nL 51.759216 137.558347 \nL 51.379486 129.912969 \nL 52.317786 122.072667 \nL 54.670853 114.375613 \nL 58.446421 107.20368 \nL 63.550181 100.939027 \nL 69.788778 95.911932 \nL 76.890424 92.351821 \nL 84.539336 90.354572 \nL 92.415776 89.875098 \nL 100.231946 90.746405 \nL 107.756435 92.717945 \nL 114.824462 95.501419 \nL 121.335682 98.812308 \nL 127.243999 102.399676 \nL 132.544117 106.061953 \nL 137.258412 109.650639 \nL 141.426072 113.065797 \nL 148.316596 119.165639 \nL 155.795576 126.316898 \nL 163.476955 133.792422 \nL 165.609072 135.640095 \nL 167.461041 137.001616 \nL 169.14543 137.953645 \nL 170.741139 138.553431 \nL 172.299018 138.844066 \nL 173.846257 138.859303 \nL 175.389707 138.627839 \nL 176.918387 138.177155 \nL 178.40558 137.536918 \nL 179.810951 136.741849 \nL 181.083185 135.833822 \nL 182.163566 134.862829 \nL 182.990863 133.886397 \nL 183.507484 132.967101 \nL 183.666572 132.168183 \nL 183.439158 131.547627 \nL 182.820103 131.151687 \nL 181.831483 131.009268 \nL 180.522359 131.128628 \nL 178.964622 131.497283 \nL 177.245632 132.085287 \nL 174.56937 133.285598 \nL 172.038412 134.726826 \nL 169.890281 136.262688 \nL 168.282586 137.776271 \nL 167.55473 138.728394 \nL 167.115427 139.609683 \nL 166.966741 140.400931 \nL 167.10512 141.083752 \nL 167.523245 141.639774 \nL 168.211098 142.050281 \nL 169.15627 142.296264 \nL 170.343504 142.358882 \nL 171.753538 142.220337 \nL 173.36133 141.865255 \nL 175.133804 141.282596 \nL 177.027288 140.468233 \nL 178.985012 139.428105 \nL 180.935201 138.181805 \nL 182.790445 136.766119 \nL 184.449314 135.237711 \nL 185.801168 133.673795 \nL 186.734763 132.169407 \nL 187.150613 130.830208 \nL 187.14014 130.255639 \nL 186.97578 129.760648 \nL 186.654942 129.355643 \nL 186.1783 129.049075 \nL 185.549954 128.84704 \nL 184.777444 128.753021 \nL 182.846204 128.889132 \nL 180.504114 129.43133 \nL 177.901544 130.318243 \nL 175.199391 131.46734 \nL 172.549431 132.791025 \nL 170.079599 134.209762 \nL 167.886393 135.659529 \nL 166.033937 137.093379 \nL 164.557886 138.478838 \nL 163.471821 139.793435 \nL 162.774206 141.020131 \nL 162.454617 142.143646 \nL 162.498656 143.147989 \nL 162.891352 144.01505 \nL 163.61911 144.723934 \nL 164.670408 145.250851 \nL 166.035348 145.569298 \nL 167.704205 145.650577 \nL 169.664968 145.464734 \nL 171.899884 144.982152 \nL 174.380975 144.176092 \nL 177.064599 143.026625 \nL 179.88534 141.526222 \nL 182.749921 139.687181 \nL 185.532484 137.55044 \nL 188.07331 135.194435 \nL 190.183819 132.741298 \nL 191.014131 131.528498 \nL 191.660681 130.356319 \nL 192.099837 129.250243 \nL 192.310706 128.236219 \nL 192.276323 127.339535 \nL 191.984826 126.583536 \nL 191.430475 125.988307 \nL 190.614447 125.569425 \nL 189.545268 125.336934 \nL 188.238814 125.294613 \nL 186.71786 125.43974 \nL 185.011164 125.76333 \nL 181.177435 126.883334 \nL 177.032406 128.494002 \nL 172.868026 130.410709 \nL 168.930791 132.466832 \nL 165.398458 134.538943 \nL 162.3768 136.551997 \nL 159.910273 138.470294 \nL 157.998897 140.282921 \nL 156.615374 141.990229 \nL 155.719294 143.594359 \nL 155.267477 145.093969 \nL 155.220676 146.482104 \nL 155.547435 147.745856 \nL 156.225851 148.86673 \nL 157.24392 149.821123 \nL 158.598905 150.580516 \nL 160.295959 151.111375 \nL 162.346054 151.374804 \nL 164.763058 151.326199 \nL 167.55964 150.915281 \nL 170.741531 150.087095 \nL 174.299577 148.78479 \nL 178.198995 146.955413 \nL 182.365636 144.560125 \nL 186.669861 141.590316 \nL 188.81383 139.900979 \nL 190.910365 138.090164 \nL 192.921264 136.176112 \nL 194.803133 134.183723 \nL 196.507967 132.145103 \nL 197.984249 130.099727 \nL 199.178601 128.09406 \nL 200.038072 126.180449 \nL 200.513 124.415169 \nL 200.560359 122.855565 \nL 200.147305 121.556413 \nL 199.254628 120.56573 \nL 197.879602 119.920472 \nL 196.037814 119.64275 \nL 193.763546 119.737184 \nL 191.10847 120.189947 \nL 188.138715 120.969815 \nL 184.930531 122.031208 \nL 181.565188 123.318717 \nL 174.682062 126.333509 \nL 168.056313 129.571518 \nL 162.086734 132.71545 \nL 156.98346 135.607294 \nL 152.801236 138.215872 \nL 149.492098 140.580662 \nL 146.953698 142.764073 \nL 145.064142 144.823128 \nL 143.703391 146.798141 \nL 142.764549 148.711748 \nL 142.158541 150.572546 \nL 141.814923 152.379748 \nL 141.680651 154.127273 \nL 141.717983 155.806616 \nL 142.044675 158.177761 \nL 142.665229 160.344747 \nL 143.242882 161.661539 \nL 143.962977 162.865431 \nL 144.842848 163.945959 \nL 145.906591 164.89038 \nL 147.185346 165.682476 \nL 148.71783 166.301066 \nL 150.550989 166.718148 \nL 152.740626 166.896576 \nL 155.351725 166.787129 \nL 158.458018 166.324988 \nL 162.140013 165.425669 \nL 166.480231 163.980927 \nL 171.553617 161.855822 \nL 174.382547 160.488724 \nL 177.410175 158.889554 \nL 180.63407 157.035702 \nL 184.045717 154.904977 \nL 187.62864 152.477006 \nL 191.356205 149.735204 \nL 195.189139 146.669422 \nL 199.072874 143.27936 \nL 202.934935 139.578775 \nL 206.682667 135.60034 \nL 210.201856 131.40087 \nL 213.356871 127.06625 \nL 215.993229 122.715056 \nL 217.943476 118.499387 \nL 219.037191 114.601158 \nL 219.115421 111.222061 \nL 218.048957 108.566148 \nL 215.7585 106.815451 \nL 212.233164 106.101636 \nL 207.542675 106.47929 \nL 201.838745 107.908406 \nL 195.343013 110.252852 \nL 188.322572 113.297764 \nL 181.058145 116.782848 \nL 154.102103 130.427994 \nL 148.565394 133.048217 \nL 139.195271 137.118836 \nL 131.898916 139.912909 \nL 115.976663 145.597368 \nL 111.731854 147.576089 \nL 108.019679 149.258335 \nL 106.138061 149.909079 \nL 104.175606 150.377431 \nL 102.113591 150.618561 \nL 99.955064 150.586883 \nL 97.725036 150.237953 \nL 95.471317 149.531597 \nL 93.265189 148.436826 \nL 92.208551 147.738281 \nL 91.200746 146.938779 \nL 90.256556 146.040422 \nL 89.391555 145.047452 \nL 88.621769 143.966522 \nL 87.963237 142.80692 \nL 87.431521 141.580712 \nL 87.041129 140.30277 \nL 86.804908 138.990665 \nL 86.733432 137.664403 \nL 86.834404 136.345992 \nL 87.112149 135.058845 \nL 87.567205 133.827005 \nL 88.196086 132.674294 \nL 88.99122 131.623381 \nL 89.941092 130.694863 \nL 91.030595 129.906418 \nL 92.241563 129.272109 \nL 93.553439 128.8019 \nL 94.944043 128.501382 \nL 96.390379 128.371777 \nL 97.869435 128.410165 \nL 99.358896 128.609916 \nL 100.83776 128.961272 \nL 102.286825 129.452022 \nL 103.689029 130.068223 \nL 105.029645 130.794873 \nL 106.296357 131.616553 \nL 108.5705 133.48433 \nL 110.457509 135.557477 \nL 111.932294 137.738484 \nL 112.990617 139.949354 \nL 113.641346 142.130566 \nL 113.899997 144.237904 \nL 113.783908 146.238481 \nL 113.30906 148.106722 \nL 112.488379 149.820699 \nL 111.331304 151.358863 \nL 109.844488 152.697188 \nL 108.033541 153.80662 \nL 105.905865 154.650855 \nL 103.474677 155.184578 \nL 100.764356 155.352479 \nL 99.316815 155.279286 \nL 97.817146 155.089659 \nL 96.274711 154.774451 \nL 94.701 154.324455 \nL 93.109878 153.730727 \nL 91.51779 152.984993 \nL 89.94391 152.080172 \nL 88.410195 151.010978 \nL 86.941308 149.774641 \nL 85.564385 148.371704 \nL 84.308588 146.806843 \nL 83.20444 145.08969 \nL 82.282901 143.235554 \nL 81.574212 141.265961 \nL 81.106508 139.208887 \nL 80.904304 137.098612 \nL 80.986923 134.975074 \nL 81.367021 132.882685 \nL 82.049339 130.868623 \nL 83.029871 128.980652 \nL 84.29552 127.264693 \nL 85.824391 125.762277 \nL 87.586666 124.508207 \nL 89.54604 123.528677 \nL 91.661564 122.839989 \nL 93.889724 122.448134 \nL 96.186546 122.349074 \nL 98.509527 122.529811 \nL 100.819266 122.96994 \nL 103.080683 123.643556 \nL 105.263798 124.52125 \nL 107.344081 125.571988 \nL 109.302457 126.764767 \nL 111.125009 128.06991 \nL 112.802486 129.460013 \nL 114.329702 130.910529 \nL 115.704869 132.40007 \nL 116.928943 133.910449 \nL 118.004988 135.426551 \nL 119.73251 138.42931 \nL 120.934487 141.338354 \nL 121.662903 144.113434 \nL 121.96641 146.734436 \nL 121.885425 149.193607 \nL 121.449645 151.489744 \nL 120.677199 153.623868 \nL 119.574842 155.595986 \nL 118.138813 157.402406 \nL 116.356215 159.033225 \nL 114.206929 160.469649 \nL 111.666312 161.680896 \nL 108.709128 162.620479 \nL 107.067657 162.968528 \nL 105.315377 163.221918 \nL 103.452017 163.368469 \nL 101.478919 163.394219 \nL 99.39952 163.283337 \nL 97.219939 163.018138 \nL 94.949624 162.579158 \nL 92.602077 161.945407 \nL 90.195623 161.094778 \nL 87.754193 160.004738 \nL 85.308069 158.653307 \nL 82.894485 157.020421 \nL 80.557991 155.089693 \nL 78.350443 152.850593 \nL 76.330417 150.301009 \nL 74.56193 147.450005 \nL 73.11228 144.320612 \nL 72.048955 140.952216 \nL 71.435621 137.402135 \nL 71.327426 133.745831 \nL 71.765974 130.075249 \nL 72.7746 126.495022 \nL 74.354609 123.116467 \nL 76.483204 120.049811 \nL 79.113641 117.395511 \nL 82.177776 115.235867 \nL 85.590819 113.628242 \nL 89.257633 112.600979 \nL 93.079696 112.15261 \nL 96.961717 112.254351 \nL 100.817132 112.855258 \nL 104.571945 113.88892 \nL 108.166798 115.28061 \nL 111.557409 116.953802 \nL 114.713769 118.835441 \nL 117.618491 120.859577 \nL 120.264756 122.969475 \nL 122.654155 125.118336 \nL 124.794633 127.26907 \nL 126.698688 129.393427 \nL 128.381844 131.470788 \nL 131.155605 135.43238 \nL 133.26044 139.093471 \nL 134.835455 142.442365 \nL 136.003945 145.493049 \nL 136.86952 148.27104 \nL 137.778467 151.990136 \nL 138.731058 157.215122 \nL 139.777613 162.992226 \nL 140.525097 165.65627 \nL 141.255554 167.381449 \nL 142.198986 168.87333 \nL 142.983143 169.732331 \nL 143.923325 170.47424 \nL 145.052961 171.087291 \nL 146.412231 171.554638 \nL 148.049374 171.852821 \nL 150.022033 171.949644 \nL 152.398493 171.80135 \nL 155.258517 171.348895 \nL 158.693208 170.513245 \nL 162.802875 169.189769 \nL 167.691162 167.242344 \nL 173.452532 164.49883 \nL 176.682153 162.764856 \nL 180.148689 160.751768 \nL 183.848048 158.430277 \nL 187.767698 155.771856 \nL 191.883934 152.750855 \nL 196.158699 149.347531 \nL 200.535974 145.552146 \nL 204.937975 141.370278 \nL 209.261502 136.829312 \nL 213.375041 131.985871 \nL 217.117547 126.933504 \nL 220.300084 121.809297 \nL 222.711847 116.797436 \nL 224.131964 112.12691 \nL 224.348135 108.060286 \nL 223.181806 104.871121 \nL 220.517473 102.809536 \nL 216.331055 102.059773 \nL 210.709732 102.698357 \nL 203.855427 104.665463 \nL 196.066987 107.761871 \nL 187.702593 111.677039 \nL 179.131153 116.042783 \nL 162.630317 124.73591 \nL 155.146087 128.549225 \nL 148.33431 131.82211 \nL 142.230791 134.523241 \nL 136.824262 136.680842 \nL 132.073737 138.358231 \nL 127.922298 139.633706 \nL 124.306739 140.58666 \nL 118.432935 141.803688 \nL 113.993477 142.455101 \nL 108.006073 143.040332 \nL 102.282147 143.396152 \nL 100.165451 143.312618 \nL 98.843828 143.048747 \nL 97.712431 142.588829 \nL 96.788938 141.938443 \nL 96.115316 141.131574 \nL 95.738526 140.230026 \nL 95.693217 139.318204 \nL 95.852673 138.752253 \nL 96.157952 138.253455 \nL 96.595828 137.847991 \nL 97.146248 137.557499 \nL 97.783421 137.39748 \nL 98.835695 137.418321 \nL 99.906883 137.746871 \nL 100.891477 138.346724 \nL 101.698269 139.156553 \nL 102.257359 140.100419 \nL 102.522786 141.096945 \nL 102.472162 142.065852 \nL 102.261741 142.658957 \nL 101.915142 143.185432 \nL 101.441189 143.62607 \nL 100.852598 143.963312 \nL 100.16607 144.181549 \nL 98.999263 144.257522 \nL 97.747512 144.005206 \nL 96.918127 143.64882 \nL 96.134143 143.146058 \nL 95.433062 142.508333 \nL 94.852314 141.755016 \nL 94.426898 140.913796 \nL 94.186665 140.020303 \nL 94.153468 139.116744 \nL 94.338617 138.249498 \nL 94.741049 137.465828 \nL 95.346568 136.81005 \nL 96.128466 136.31967 \nL 97.049421 136.022185 \nL 98.06448 135.932991 \nL 99.124612 136.05471 \nL 100.180366 136.377973 \nL 101.185053 136.883283 \nL 102.097206 137.543576 \nL 102.88209 138.326941 \nL 103.512392 139.199139 \nL 103.968152 140.125573 \nL 104.236258 141.072688 \nL 104.309688 142.00875 \nL 104.186728 142.904159 \nL 103.870334 143.731406 \nL 103.367722 144.464847 \nL 102.690254 145.080418 \nL 101.853626 145.555463 \nL 100.87832 145.868754 \nL 99.790221 146.00087 \nL 98.621307 145.934979 \nL 97.41018 145.658151 \nL 96.202237 145.163158 \nL 95.049154 144.450746 \nL 94.007473 143.532132 \nL 93.135934 142.431379 \nL 92.491596 141.187026 \nL 92.12485 139.852411 \nL 92.073859 138.49395 \nL 92.359274 137.187094 \nL 92.980267 136.01006 \nL 93.912883 135.036148 \nL 95.111299 134.325953 \nL 96.511943 133.921064 \nL 98.03977 133.840465 \nL 99.615494 134.080317 \nL 101.162439 134.616761 \nL 102.611981 135.410819 \nL 103.907007 136.414141 \nL 105.003332 137.574395 \nL 105.869452 138.839549 \nL 106.485133 140.160719 \nL 106.83945 141.493628 \nL 106.928716 142.798911 \nL 106.75468 144.041648 \nL 106.323187 145.190409 \nL 105.643436 146.216106 \nL 104.727865 147.090872 \nL 103.592657 147.787115 \nL 102.258834 148.276952 \nL 100.753821 148.532135 \nL 99.113358 148.524723 \nL 97.383503 148.228658 \nL 95.622334 147.622519 \nL 93.900863 146.693478 \nL 92.302407 145.442418 \nL 90.919725 143.889706 \nL 89.849288 142.08063 \nL 89.460226 141.101859 \nL 89.182535 140.088928 \nL 89.025021 139.05547 \nL 88.994726 138.016577 \nL 89.096584 136.988493 \nL 89.333109 135.98818 \nL 89.704185 135.03286 \nL 90.206936 134.139443 \nL 90.835713 133.323969 \nL 91.582196 132.60105 \nL 92.435618 131.983364 \nL 93.383092 131.481215 \nL 94.410018 131.102232 \nL 95.500552 130.851189 \nL 96.638122 130.729956 \nL 97.805909 130.737605 \nL 98.987339 130.870624 \nL 100.16649 131.123236 \nL 102.459557 131.955105 \nL 104.582111 133.156839 \nL 106.455659 134.641677 \nL 108.026433 136.323229 \nL 109.262463 138.122717 \nL 110.148981 139.972561 \nL 110.683424 141.817098 \nL 110.870909 143.611374 \nL 110.720619 145.318905 \nL 110.243298 146.909055 \nL 109.449877 148.354351 \nL 108.351156 149.628014 \nL 106.958505 150.701775 \nL 105.285496 151.54406 \nL 103.35051 152.118669 \nL 101.18023 152.384217 \nL 98.813969 152.294634 \nL 96.308546 151.801355 \nL 95.02741 151.388511 \nL 93.743167 150.857803 \nL 92.469851 150.204949 \nL 91.223239 149.426921 \nL 90.020805 148.522355 \nL 88.881556 147.492007 \nL 87.82579 146.339227 \nL 86.874698 145.070413 \nL 86.049848 143.695431 \nL 85.372536 142.227932 \nL 84.863019 140.685542 \nL 84.539645 139.089836 \nL 84.417948 137.46609 \nL 84.509743 135.842753 \nL 84.822318 134.250644 \nL 85.357766 132.721878 \nL 86.112566 131.288595 \nL 87.077441 129.981546 \nL 88.237533 128.828678 \nL 89.572916 127.853838 \nL 91.059389 127.075664 \nL 92.669509 126.506864 \nL 94.373764 126.153831 \nL 96.141787 126.016718 \nL 97.943527 126.089864 \nL 99.750296 126.362523 \nL 101.535615 126.819863 \nL 103.27584 127.44403 \nL 104.950565 128.215261 \nL 106.542787 129.112887 \nL 108.038905 130.116244 \nL 109.428555 131.205375 \nL 110.704335 132.361578 \nL 111.861467 133.567761 \nL 113.811489 136.070809 \nL 115.278315 138.614573 \nL 116.279845 141.126707 \nL 116.842674 143.557515 \nL 116.995061 145.874026 \nL 116.762256 148.054383 \nL 116.163807 150.082944 \nL 115.2124 151.94625 \nL 113.913935 153.629587 \nL 112.268594 155.113965 \nL 110.272879 156.37329 \nL 107.922716 157.371638 \nL 105.217894 158.060584 \nL 103.734939 158.269907 \nL 102.16818 158.376933 \nL 100.521738 158.371245 \nL 98.801507 158.241447 \nL 97.015531 157.97528 \nL 95.174399 157.559808 \nL 93.29167 156.981713 \nL 91.38427 156.227718 \nL 89.47285 155.28517 \nL 87.582079 154.142781 \nL 85.740794 152.791574 \nL 83.981948 151.22599 \nL 82.342312 149.445155 \nL 80.861836 147.454252 \nL 79.582615 145.265884 \nL 78.547437 142.901294 \nL 77.797893 140.391266 \nL 77.372135 137.776517 \nL 77.302384 135.107342 \nL 77.61241 132.442378 \nL 78.315236 129.84639 \nL 79.411358 127.387137 \nL 80.887762 125.131532 \nL 82.717928 123.141435 \nL 84.862941 121.469549 \nL 87.273584 120.155977 \nL 89.893253 119.225819 \nL 92.661324 118.688183 \nL 95.516587 118.536612 \nL 98.4004 118.750821 \nL 101.259261 119.299409 \nL 104.046636 120.143146 \nL 106.724005 121.238301 \nL 109.261204 122.539768 \nL 111.636153 124.003597 \nL 113.834196 125.58894 \nL 115.847145 127.259265 \nL 117.672239 128.983001 \nL 119.311061 130.733706 \nL 120.768529 132.489867 \nL 122.05199 134.234478 \nL 123.17043 135.954504 \nL 124.952596 139.285024 \nL 126.197805 142.43485 \nL 126.984814 145.386913 \nL 127.381542 148.141759 \nL 127.441898 150.709402 \nL 127.204894 153.104011 \nL 126.695019 155.340552 \nL 125.923205 157.432656 \nL 124.887954 159.39111 \nL 123.576406 161.222637 \nL 121.965289 162.928587 \nL 120.021814 164.503213 \nL 117.704718 165.931298 \nL 114.965853 167.184764 \nL 111.752897 168.217941 \nL 109.952256 168.631315 \nL 108.014133 168.961231 \nL 105.9335 169.19393 \nL 103.706665 169.313087 \nL 101.331859 169.29951 \nL 98.809957 169.13088 \nL 96.145355 168.781556 \nL 93.347024 168.222509 \nL 90.429728 167.421447 \nL 87.415407 166.343244 \nL 84.334656 164.950799 \nL 81.228229 163.206453 \nL 78.148417 161.074123 \nL 75.160072 158.522304 \nL 72.340993 155.528022 \nL 69.78128 152.081658 \nL 67.581267 148.19251 \nL 65.84765 143.894488 \nL 64.687537 139.251213 \nL 64.200521 134.359303 \nL 64.469234 129.348592 \nL 65.549421 124.37796 \nL 67.461054 119.626173 \nL 70.182279 115.27788 \nL 73.647802 111.50632 \nL 77.752575 108.455427 \nL 82.360654 106.224631 \nL 87.317753 104.859402 \nL 92.465332 104.349418 \nL 97.653715 104.634363 \nL 102.752252 105.615586 \nL 107.655534 107.170888 \nL 112.285582 109.169351 \nL 116.590772 111.483862 \nL 120.542617 114.000041 \nL 124.131502 116.621294 \nL 127.362236 119.270522 \nL 130.249985 121.889433 \nL 132.816842 124.436339 \nL 135.089118 126.883312 \nL 138.864504 131.417134 \nL 141.806099 135.438108 \nL 145.117718 140.547912 \nL 149.109674 146.974753 \nL 150.543547 148.933646 \nL 152.025877 150.584019 \nL 153.630059 151.938174 \nL 155.419849 152.997067 \nL 157.452527 153.750145 \nL 159.780844 154.175093 \nL 162.453497 154.237546 \nL 165.513735 153.890981 \nL 168.995565 153.077343 \nL 172.916763 151.729309 \nL 177.267773 149.775659 \nL 179.590162 148.550864 \nL 181.995678 147.151868 \nL 184.467463 145.574679 \nL 186.983088 143.818576 \nL 189.513761 141.887277 \nL 192.023641 139.790259 \nL 194.469297 137.544158 \nL 196.799522 135.174187 \nL 198.955592 132.715383 \nL 200.872186 130.213472 \nL 202.479123 127.72508 \nL 203.704068 125.316966 \nL 204.476295 123.063976 \nL 204.731361 121.045489 \nL 204.416505 119.340333 \nL 203.496221 118.02042 \nL 201.957324 117.143724 \nL 199.81265 116.747587 \nL 197.102568 116.843534 \nL 193.893744 117.41478 \nL 190.275011 118.417181 \nL 186.350759 119.783821 \nL 182.232802 121.432461 \nL 173.850586 125.224214 \nL 165.881806 129.157525 \nL 155.704837 134.477929 \nL 150.344004 137.466385 \nL 146.077001 140.067921 \nL 142.760712 142.393229 \nL 140.22221 144.54512 \nL 138.290862 146.598057 \nL 136.813946 148.596627 \nL 135.662214 150.562049 \nL 134.318808 153.45857 \nL 130.896822 161.626032 \nL 129.429985 164.119901 \nL 128.248539 165.711713 \nL 126.856739 167.244602 \nL 125.208686 168.714582 \nL 123.252177 170.113793 \nL 120.927543 171.427772 \nL 118.167086 172.631561 \nL 114.895626 173.684164 \nL 111.033012 174.520708 \nL 108.854991 174.828579 \nL 106.500141 175.0417 \nL 103.960672 175.139925 \nL 101.230824 175.099037 \nL 98.30782 174.8902 \nL 95.193076 174.479461 \nL 91.893714 173.827368 \nL 88.4244 172.888835 \nL 84.809504 171.613403 \nL 81.085553 169.94612 \nL 77.303865 167.829303 \nL 73.533134 165.205548 \nL 69.861605 162.022248 \nL 66.398325 158.237949 \nL 63.272704 153.830579 \nL 60.631562 148.807276 \nL 58.632802 143.214885 \nL 57.435107 137.149527 \nL 57.183723 130.762783 \nL 57.993342 124.261601 \nL 59.93048 117.899245 \nL 62.998711 111.955977 \nL 67.130675 106.710648 \nL 72.189834 102.407421 \nL 77.982949 99.224423 \nL 84.281237 97.251577 \nL 90.845885 96.483081 \nL 97.452386 96.825783 \nL 103.90917 98.120498 \nL 110.068054 100.169926 \nL 115.826632 102.766565 \nL 121.124526 105.715271 \nL 125.936069 108.847937 \nL 130.261872 112.030281 \nL 134.120875 115.16241 \nL 137.543723 118.175292 \nL 143.233245 123.688295 \nL 147.65166 128.422678 \nL 152.564741 134.114737 \nL 157.226585 139.503215 \nL 159.174685 141.432033 \nL 161.050081 142.927009 \nL 162.950993 144.023937 \nL 164.950879 144.743565 \nL 167.102046 145.09413 \nL 169.437554 145.074231 \nL 171.971294 144.676179 \nL 174.696176 143.890288 \nL 177.580638 142.710472 \nL 180.563906 141.141532 \nL 183.550984 139.208239 \nL 186.409041 136.965637 \nL 188.967728 134.50887 \nL 190.072971 133.242519 \nL 191.026714 131.979273 \nL 191.802154 130.743655 \nL 192.373483 129.562089 \nL 192.717079 128.462045 \nL 192.812773 127.470932 \nL 192.645161 126.614811 \nL 192.204798 125.916951 \nL 191.489212 125.396431 \nL 190.503586 125.066886 \nL 189.261 124.935513 \nL 187.782191 125.002587 \nL 186.094785 125.26143 \nL 184.232094 125.698972 \nL 180.132722 127.032676 \nL 175.799803 128.819558 \nL 171.530636 130.864567 \nL 167.563619 133.003295 \nL 164.060299 135.122441 \nL 161.107733 137.159396 \nL 158.733231 139.089193 \nL 156.923276 140.90826 \nL 155.641114 142.62097 \nL 154.84055 144.231024 \nL 154.475507 145.737194 \nL 154.505942 147.131952 \nL 154.901023 148.401628 \nL 155.64039 149.526988 \nL 156.714158 150.483772 \nL 158.122078 151.242812 \nL 159.872052 151.769823 \nL 161.978011 152.024887 \nL 164.456964 151.961959 \nL 167.32485 151.52873 \nL 170.590686 150.667453 \nL 174.248312 149.317658 \nL 178.265141 147.422029 \nL 182.567526 144.937014 \nL 184.787299 143.467694 \nL 187.023332 141.849905 \nL 189.247017 140.090878 \nL 191.424059 138.20315 \nL 193.514329 136.205551 \nL 195.47202 134.124084 \nL 197.24624 131.992567 \nL 198.782159 129.852867 \nL 200.02278 127.754526 \nL 200.911406 125.753594 \nL 201.394775 123.910497 \nL 201.426728 122.286918 \nL 200.97214 120.941758 \nL 200.010707 119.926444 \nL 198.54012 119.280174 \nL 196.578038 119.0257 \nL 194.162441 119.166439 \nL 191.350104 119.685514 \nL 188.213188 120.547122 \nL 184.834364 121.700062 \nL 181.301071 123.082979 \nL 174.110553 126.278842 \nL 167.236772 129.66071 \nL 161.085995 132.901103 \nL 155.860491 135.848443 \nL 151.599845 138.485134 \nL 148.239837 140.86401 \nL 145.663933 143.057213 \nL 143.739047 145.127605 \nL 142.336718 147.118449 \nL 141.343729 149.05366 \nL 140.666088 150.942375 \nL 140.2292 152.784264 \nL 139.904913 155.446909 \nL 139.866541 157.96703 \nL 140.040208 160.321425 \nL 140.393604 162.492001 \nL 140.925164 164.464784 \nL 141.657992 166.226855 \nL 142.279981 167.276928 \nL 143.030548 168.220069 \nL 143.934134 169.047626 \nL 145.021035 169.747759 \nL 146.328316 170.304261 \nL 147.900875 170.695025 \nL 149.792622 170.890046 \nL 152.067591 170.848769 \nL 154.800742 170.516661 \nL 158.077942 169.820897 \nL 161.994242 168.665182 \nL 166.648917 166.924225 \nL 172.134784 164.439207 \nL 175.21194 162.858605 \nL 178.517908 161.017393 \nL 182.050981 158.887802 \nL 185.802219 156.442271 \nL 189.753067 153.655189 \nL 193.872501 150.505405 \nL 198.113798 146.979675 \nL 202.411018 143.077181 \nL 206.675492 138.815165 \nL 210.792778 134.235558 \nL 214.620807 129.412119 \nL 217.990211 124.457136 \nL 220.708114 119.526124 \nL 222.566754 114.818298 \nL 223.358045 110.570051 \nL 222.894467 107.038781 \nL 221.034976 104.475871 \nL 217.71247 103.090216 \nL 212.956789 103.008121 \nL 206.906013 104.239609 \nL 199.799917 106.662983 \nL 191.953803 110.036229 \nL 183.717537 114.03554 \nL 152.78918 129.968521 \nL 146.455747 132.930304 \nL 140.802024 135.36222 \nL 135.805221 137.305609 \nL 131.419701 138.826596 \nL 127.588281 139.999763 \nL 121.344471 141.583945 \nL 116.610723 142.527184 \nL 104.505188 144.507227 \nL 101.781023 144.796541 \nL 99.954136 144.740026 \nL 98.256063 144.38511 \nL 97.207859 143.966479 \nL 96.250787 143.401059 \nL 95.413382 142.697404 \nL 94.727721 141.873598 \nL 94.225893 140.957623 \nL 93.936261 139.986857 \nL 93.879756 139.006521 \nL 94.066581 138.066904 \nL 94.493841 137.219556 \nL 95.144524 136.512863 \nL 95.98806 135.987613 \nL 96.982455 135.673348 \nL 98.07765 135.586026 \nL 99.219556 135.727388 \nL 100.354116 136.085969 \nL 101.430828 136.639364 \nL 102.405357 137.357231 \nL 103.241069 138.204403 \nL 103.909595 139.143663 \nL 104.3906 140.137913 \nL 104.671059 141.151582 \nL 104.744311 142.151392 \nL 104.609115 143.106554 \nL 104.268902 143.988596 \nL 103.731317 144.771008 \nL 103.0081 145.428829 \nL 102.115331 145.938356 \nL 101.073985 146.277112 \nL 99.910705 146.424145 \nL 98.65867 146.360858 \nL 97.358333 146.072398 \nL 96.057778 145.54965 \nL 94.812374 144.791822 \nL 93.683331 143.809333 \nL 92.734939 142.626669 \nL 92.030281 141.28448 \nL 91.625631 139.840231 \nL 91.564071 138.366485 \nL 91.869353 136.946482 \nL 92.541207 135.667012 \nL 93.55334 134.609553 \nL 94.854863 133.841234 \nL 96.375068 133.407521 \nL 98.030746 133.328202 \nL 99.734521 133.597304 \nL 101.40267 134.186629 \nL 102.961171 135.051644 \nL 104.349366 136.13818 \nL 105.521269 137.388593 \nL 106.44495 138.746506 \nL 107.100704 140.15982 \nL 107.47864 141.58209 \nL 107.576253 142.972656 \nL 107.39633 144.295916 \nL 106.945441 145.520101 \nL 106.233096 146.615896 \nL 105.271636 147.55507 \nL 104.076796 148.309348 \nL 102.668938 148.849625 \nL 101.074847 149.14576 \nL 99.32996 149.1671 \nL 97.480773 148.88404 \nL 95.587064 148.270862 \nL 93.723296 147.31002 \nL 91.97849 145.99789 \nL 90.453601 144.351518 \nL 89.807055 143.415641 \nL 89.255595 142.415299 \nL 88.81196 141.361119 \nL 88.487882 140.265836 \nL 88.293652 139.144191 \nL 88.237654 138.012697 \nL 88.325959 136.889296 \nL 88.561951 135.792908 \nL 88.94604 134.74286 \nL 89.475505 133.758269 \nL 90.144442 132.857347 \nL 90.943872 132.056754 \nL 91.861987 131.370973 \nL 92.884518 130.811799 \nL 93.995221 130.387951 \nL 95.176422 130.104856 \nL 96.409616 129.96459 \nL 97.676048 129.966006 \nL 98.957272 130.104984 \nL 100.235635 130.374822 \nL 101.49469 130.766693 \nL 103.896793 131.873614 \nL 106.06508 133.331603 \nL 107.929925 135.042696 \nL 109.448323 136.915427 \nL 110.598977 138.870629 \nL 111.37641 140.843335 \nL 111.785332 142.781973 \nL 111.835938 144.646021 \nL 111.540457 146.403035 \nL 110.910964 148.025548 \nL 109.958413 149.48815 \nL 108.692762 150.764866 \nL 107.124135 151.826869 \nL 105.264996 152.64057 \nL 103.133329 153.166269 \nL 100.756857 153.357577 \nL 98.178207 153.162152 \nL 95.460741 152.524367 \nL 94.07686 152.022614 \nL 92.694327 151.3909 \nL 91.329251 150.624441 \nL 89.999792 149.719981 \nL 88.726062 148.676322 \nL 87.529926 147.494861 \nL 86.434651 146.180183 \nL 85.464405 144.740602 \nL 84.643576 143.188642 \nL 83.995953 141.54138 \nL 83.543746 139.820605 \nL 83.30652 138.052685 \nL 83.300098 136.268145 \nL 83.535509 134.500879 \nL 84.018084 132.787027 \nL 84.746795 131.16353 \nL 85.713913 129.666498 \nL 86.905057 128.329454 \nL 88.299644 127.181688 \nL 89.871728 126.246783 \nL 91.591148 125.541575 \nL 93.424909 125.075528 \nL 95.338648 124.850634 \nL 97.298069 124.861851 \nL 99.270247 125.097907 \nL 101.224701 125.542447 \nL 103.134198 126.17535 \nL 104.975268 126.97407 \nL 106.728441 127.914907 \nL 108.378247 128.974117 \nL 109.91303 130.128799 \nL 111.324621 131.357566 \nL 112.60792 132.640974 \nL 113.760447 133.961767 \nL 115.673528 136.657753 \nL 117.079038 139.351284 \nL 118.00695 141.978101 \nL 118.492374 144.497 \nL 118.568869 146.882821 \nL 118.26429 149.120421 \nL 117.598611 151.199741 \nL 116.583203 153.111839 \nL 115.221201 154.845591 \nL 113.508742 156.38476 \nL 111.437063 157.705142 \nL 108.995625 158.77163 \nL 106.176559 159.535167 \nL 104.625189 159.783446 \nL 102.98096 159.929783 \nL 101.246829 159.962914 \nL 99.42755 159.87032 \nL 97.530104 159.638304 \nL 95.564166 159.252125 \nL 93.542608 158.696254 \nL 91.482011 157.954788 \nL 89.403157 157.012013 \nL 87.331453 155.853187 \nL 85.297245 154.465554 \nL 83.335934 152.839608 \nL 81.487794 150.97057 \nL 79.797446 148.860062 \nL 78.312843 146.517854 \nL 77.083721 143.963536 \nL 76.159509 141.22791 \nL 75.586689 138.353823 \nL 75.405779 135.396165 \nL 75.648156 132.420771 \nL 76.333025 129.502075 \nL 77.464942 126.719502 \nL 79.032274 124.152783 \nL 81.006903 121.876683 \nL 83.345342 119.955693 \nL 85.991188 118.439408 \nL 88.878696 117.359266 \nL 91.936998 116.727038 \nL 95.094446 116.535261 \nL 98.282595 116.759393 \nL 101.439424 117.361321 \nL 104.51158 118.293538 \nL 107.455585 119.503468 \nL 110.238123 120.93736 \nL 112.8356 122.543468 \nL 115.233186 124.27435 \nL 117.423576 126.088232 \nL 119.405638 127.949668 \nL 121.183082 129.829552 \nL 122.763241 131.704749 \nL 124.156001 133.557465 \nL 126.426379 137.146462 \nL 128.094074 140.532634 \nL 129.257915 143.692236 \nL 130.006192 146.625369 \nL 130.412177 149.344953 \nL 130.532785 151.869795 \nL 130.409033 154.220477 \nL 130.06733 156.416993 \nL 129.521016 158.477462 \nL 128.771792 160.417462 \nL 127.810853 162.249541 \nL 126.619659 163.982786 \nL 125.170365 165.622163 \nL 123.425988 167.16742 \nL 121.340486 168.61135 \nL 118.858995 169.937072 \nL 115.918677 171.11396 \nL 112.450879 172.091777 \nL 110.497188 172.483004 \nL 108.385737 172.792465 \nL 106.109044 173.004282 \nL 103.661001 173.099346 \nL 101.037571 173.054879 \nL 98.237684 172.843987 \nL 95.264347 172.435303 \nL 92.126008 171.792736 \nL 88.838191 170.87549 \nL 85.42538 169.638431 \nL 81.923105 168.033034 \nL 78.380155 166.009128 \nL 74.860638 163.51767 \nL 71.44566 160.514829 \nL 68.2341 156.967532 \nL 65.341913 152.860484 \nL 62.899306 148.20434 \nL 61.045103 143.044278 \nL 59.917931 137.467582 \nL 59.644281 131.608335 \nL 60.324406 125.646988 \nL 62.017806 119.802737 \nL 64.731062 114.317838 \nL 68.410933 109.434675 \nL 72.945111 105.368806 \nL 78.171515 102.283114 \nL 83.894774 100.268658 \nL 89.906764 99.336619 \nL 96.007026 99.422882 \nL 102.019313 100.403399 \nL 107.802004 102.115992 \nL 113.25198 104.383332 \nL 118.303103 107.032756 \nL 122.921167 109.910276 \nL 127.09731 112.888288 \nL 130.841288 115.867819 \nL 134.175569 118.77692 \nL 137.130556 121.566889 \nL 142.043428 126.683081 \nL 145.869334 131.120835 \nL 150.162288 136.559908 \nL 154.347146 141.885239 \nL 156.160235 143.86221 \nL 157.95287 145.440863 \nL 159.817563 146.64653 \nL 161.827178 147.490459 \nL 164.038318 147.971133 \nL 166.493016 148.075915 \nL 169.218452 147.783169 \nL 172.224463 147.065323 \nL 175.498674 145.89352 \nL 178.999217 144.244672 \nL 182.64548 142.111741 \nL 186.308143 139.517717 \nL 189.801151 136.532618 \nL 191.409759 134.932465 \nL 192.88012 133.290664 \nL 194.174367 131.635887 \nL 195.253364 130.001453 \nL 196.078186 128.424645 \nL 196.61192 126.945544 \nL 196.821766 125.605349 \nL 196.681287 124.444238 \nL 196.172621 123.498879 \nL 195.288453 122.799786 \nL 194.03343 122.368881 \nL 192.424863 122.217521 \nL 190.492476 122.34535 \nL 188.277162 122.740198 \nL 185.828846 123.379122 \nL 183.203623 124.230427 \nL 177.65831 126.417118 \nL 172.092812 128.984939 \nL 166.875022 131.661441 \nL 162.249361 134.265437 \nL 158.337978 136.710025 \nL 155.166759 138.977181 \nL 152.698654 141.085541 \nL 150.863272 143.064883 \nL 149.578642 144.941186 \nL 148.765154 146.730509 \nL 148.353417 148.438304 \nL 148.287932 150.061147 \nL 148.528187 151.589064 \nL 149.048312 153.00742 \nL 149.836059 154.298084 \nL 150.891577 155.439765 \nL 152.226191 156.407648 \nL 153.861247 157.172446 \nL 155.826967 157.698952 \nL 158.161048 157.944249 \nL 160.906669 157.855715 \nL 164.10929 157.369098 \nL 167.811391 156.407241 \nL 172.043968 154.880412 \nL 174.362588 153.874466 \nL 176.813249 152.690056 \nL 179.389622 151.3151 \nL 182.080939 149.73872 \nL 184.870949 147.952191 \nL 187.736768 145.950132 \nL 190.647692 143.732016 \nL 193.564004 141.303954 \nL 196.435972 138.680718 \nL 199.203131 135.887925 \nL 201.794133 132.964156 \nL 204.127421 129.962739 \nL 206.113021 126.95275 \nL 207.655787 124.018729 \nL 208.660249 121.258543 \nL 209.037102 118.778902 \nL 208.711067 116.688258 \nL 207.629386 115.087348 \nL 205.769869 114.058238 \nL 203.147049 113.653451 \nL 199.81494 113.887309 \nL 195.865323 114.731693 \nL 191.421244 116.117692 \nL 186.626442 117.943466 \nL 181.632493 120.086886 \nL 171.617188 124.825253 \nL 154.272002 133.552686 \nL 144.869622 138.391722 \nL 140.221728 140.950483 \nL 136.620818 143.181541 \nL 133.832677 145.22766 \nL 131.641592 147.18185 \nL 129.861973 149.094024 \nL 127.635257 151.92068 \nL 124.175364 156.478086 \nL 122.634851 158.205243 \nL 120.90497 159.849899 \nL 118.927338 161.389543 \nL 116.646278 162.796197 \nL 114.007943 164.033066 \nL 110.961199 165.050074 \nL 107.460883 165.778311 \nL 105.529683 166.005873 \nL 103.47437 166.123564 \nL 101.294657 166.11454 \nL 98.992752 165.959612 \nL 96.574073 165.63715 \nL 94.048053 165.123118 \nL 91.429082 164.391301 \nL 88.737522 163.413758 \nL 86.000774 162.161607 \nL 83.254309 160.606251 \nL 80.542559 158.721105 \nL 77.919503 156.483926 \nL 75.448729 153.879752 \nL 73.202757 150.904418 \nL 71.261329 147.568428 \nL 69.708448 143.900872 \nL 68.628067 139.952803 \nL 68.09846 135.799369 \nL 68.185595 131.53986 \nL 68.936185 127.29494 \nL 70.371348 123.20063 \nL 72.481977 119.399087 \nL 75.226852 116.027054 \nL 78.53419 113.203532 \nL 82.306657 111.018608 \nL 86.429257 109.525449 \nL 90.778822 108.736911 \nL 95.233621 108.627172 \nL 99.68166 109.137795 \nL 104.026729 110.186825 \nL 108.191788 111.678978 \nL 112.119868 113.515309 \nL 115.773032 115.601055 \nL 119.130067 117.851112 \nL 122.183553 120.193068 \nL 124.936831 122.568251 \nL 127.401178 124.93123 \nL 129.593378 127.248432 \nL 131.53373 129.496312 \nL 134.748712 133.728533 \nL 137.228675 137.570301 \nL 139.146819 141.020449 \nL 141.298019 145.519879 \nL 144.851458 153.457027 \nL 145.839819 155.187204 \nL 146.920269 156.706803 \nL 148.139814 158.019539 \nL 149.544122 159.121505 \nL 151.179878 160.000641 \nL 153.096602 160.635795 \nL 155.34782 160.995366 \nL 157.991403 161.035487 \nL 161.088643 160.697844 \nL 164.701405 159.907497 \nL 168.886196 158.571368 \nL 173.683573 156.578841 \nL 176.316178 155.298214 \nL 179.100682 153.807076 \nL 182.028364 152.090479 \nL 185.084465 150.135256 \nL 188.24672 147.931403 \nL 191.483784 145.473865 \nL 194.753581 142.76474 \nL 198.001747 139.815912 \nL 201.160344 136.652011 \nL 204.147164 133.313484 \nL 206.865986 129.85944 \nL 209.208238 126.369692 \nL 211.056527 122.945268 \nL 212.290461 119.706519 \nL 212.794909 116.787951 \nL 212.470455 114.329195 \nL 211.245213 112.462168 \nL 209.08639 111.295557 \nL 206.009502 110.89886 \nL 202.082767 111.289384 \nL 197.424944 112.425696 \nL 192.195936 114.210155 \nL 186.581391 116.500988 \nL 180.774135 119.131558 \nL 169.28395 124.751853 \nL 149.979506 134.350747 \nL 132.876934 142.618951 \nL 129.508502 144.533596 \nL 126.84812 146.312474 \nL 124.668426 148.030139 \nL 121.902114 150.54828 \nL 118.442342 153.760365 \nL 116.58561 155.251547 \nL 114.545191 156.62292 \nL 112.263684 157.834735 \nL 109.695182 158.83937 \nL 106.806003 159.578478 \nL 103.577969 159.97975 \nL 101.83691 160.026562 \nL 100.014646 159.954099 \nL 98.11659 159.748411 \nL 96.150891 159.394556 \nL 94.1289 158.876795 \nL 92.065663 158.178949 \nL 89.980393 157.284928 \nL 87.896919 156.179432 \nL 85.843999 154.848909 \nL 83.855497 153.282737 \nL 81.970272 151.474643 \nL 80.231744 149.424347 \nL 78.687002 147.139282 \nL 77.385395 144.636304 \nL 76.376571 141.943184 \nL 75.707968 139.099592 \nL 75.421883 136.157353 \nL 75.552288 133.179639 \nL 76.121733 130.238953 \nL 77.138692 127.413829 \nL 78.595744 124.784401 \nL 80.46893 122.427207 \nL 82.718504 120.409838 \nL 85.291062 118.786087 \nL 88.12286 117.592258 \nL 91.14392 116.845208 \nL 94.282383 116.542247 \nL 97.468634 116.662935 \nL 100.638753 117.172257 \nL 103.736997 118.024694 \nL 106.717293 119.168577 \nL 109.543736 120.550129 \nL 112.190309 122.11683 \nL 114.640044 123.819968 \nL 116.883829 125.616232 \nL 118.919077 127.468524 \nL 120.748376 129.346139 \nL 122.37824 131.224466 \nL 123.817989 133.084403 \nL 125.078813 134.911641 \nL 127.113244 138.430181 \nL 128.58253 141.73337 \nL 129.582376 144.807929 \nL 130.195808 147.659764 \nL 130.490054 150.30462 \nL 130.516008 152.762335 \nL 130.309086 155.053469 \nL 129.890663 157.197438 \nL 129.269605 159.211481 \nL 128.443601 161.110095 \nL 127.400167 162.904607 \nL 126.117278 164.602677 \nL 124.563695 166.207492 \nL 122.699067 167.71648 \nL 120.474036 169.119238 \nL 117.830633 170.394366 \nL 114.703509 171.50479 \nL 111.022835 172.39108 \nL 108.953234 172.723296 \nL 106.72022 172.962307 \nL 104.317264 173.089892 \nL 101.739708 173.084272 \nL 98.985607 172.919663 \nL 96.056781 172.565893 \nL 92.960111 171.988113 \nL 89.7091 171.146727 \nL 86.325693 169.997665 \nL 82.842335 168.493144 \nL 79.30414 166.583194 \nL 75.771043 164.218129 \nL 72.319605 161.352275 \nL 69.04407 157.949117 \nL 66.056127 153.987954 \nL 63.482705 149.471839 \nL 61.461122 144.436137 \nL 60.131112 138.956536 \nL 59.623667 133.154731 \nL 60.047328 127.199501 \nL 61.473569 121.301165 \nL 63.923715 115.69797 \nL 67.360393 110.634825 \nL 71.686127 106.336968 \nL 76.750452 102.983284 \nL 82.364751 100.684853 \nL 88.322138 99.473766 \nL 94.418309 99.304414 \nL 100.469399 100.066426 \nL 106.324102 101.605259 \nL 111.86921 103.745398 \nL 117.029312 106.311319 \nL 121.762483 109.143139 \nL 126.05392 112.105943 \nL 129.909145 115.093311 \nL 133.347829 118.026538 \nL 136.398707 120.851296 \nL 141.475041 126.052635 \nL 145.426738 130.579343 \nL 149.845857 136.139183 \nL 154.108718 141.594174 \nL 155.932681 143.62541 \nL 157.722451 145.253893 \nL 159.573419 146.50688 \nL 161.560777 147.397385 \nL 163.743103 147.925473 \nL 166.164277 148.079861 \nL 168.853478 147.839946 \nL 171.822991 147.178731 \nL 175.063656 146.067209 \nL 178.537877 144.481081 \nL 182.170601 142.410571 \nL 185.839329 139.873913 \nL 189.365647 136.934078 \nL 191.00347 135.349222 \nL 192.512476 133.716156 \nL 193.855332 132.06229 \nL 194.993121 130.419782 \nL 195.886724 128.824963 \nL 196.498539 127.317316 \nL 196.794517 125.937918 \nL 196.746377 124.727416 \nL 196.333863 123.723609 \nL 195.546785 122.958822 \nL 194.386611 122.457395 \nL 192.867368 122.233553 \nL 191.015643 122.290014 \nL 188.869604 122.617606 \nL 186.477066 123.196013 \nL 183.892806 123.995584 \nL 178.383897 126.109291 \nL 172.799823 128.643908 \nL 167.522321 131.31786 \nL 162.812339 133.937246 \nL 158.806671 136.404048 \nL 155.541811 138.693161 \nL 152.987084 140.820094 \nL 151.075072 142.814199 \nL 149.72442 144.702401 \nL 148.854716 146.502143 \nL 148.395014 148.220161 \nL 148.287956 149.854037 \nL 148.49112 151.394506 \nL 148.976816 152.827445 \nL 149.73113 154.135117 \nL 150.752698 155.296633 \nL 152.051485 156.287653 \nL 153.647622 157.0795 \nL 155.570262 157.637792 \nL 157.856235 157.920676 \nL 160.548144 157.876844 \nL 163.691357 157.443592 \nL 167.32905 156.54541 \nL 171.494191 155.094058 \nL 176.196932 152.991751 \nL 178.742349 151.665359 \nL 181.405752 150.140151 \nL 184.172343 148.406778 \nL 187.02099 146.458924 \nL 189.923033 144.294719 \nL 192.8411 141.918461 \nL 195.728028 139.342591 \nL 198.52607 136.58984 \nL 201.166573 133.695399 \nL 203.570432 130.708797 \nL 205.649569 127.695152 \nL 207.309803 124.73525 \nL 208.45527 121.923918 \nL 208.994532 119.366149 \nL 208.848138 117.17068 \nL 207.957029 115.441043 \nL 206.290822 114.264892 \nL 203.854563 113.702916 \nL 200.692441 113.779464 \nL 196.887261 114.477032 \nL 192.555079 115.736367 \nL 187.835537 117.462852 \nL 182.879389 119.538145 \nL 172.838776 124.230763 \nL 159.136853 131.08947 \nL 145.544259 138.04132 \nL 140.7518 140.652951 \nL 137.035064 142.916263 \nL 134.159347 144.979713 \nL 131.905858 146.942297 \nL 130.085144 148.858593 \nL 127.828692 151.689807 \nL 124.381008 156.261476 \nL 122.861676 157.998193 \nL 121.160801 159.655126 \nL 119.219546 161.21034 \nL 116.981965 162.636793 \nL 114.393943 163.899137 \nL 111.40381 164.94938 \nL 107.96523 165.721498 \nL 106.066161 165.976132 \nL 104.043273 166.125028 \nL 101.895697 166.151948 \nL 99.624892 166.03832 \nL 97.235328 165.763153 \nL 94.735265 165.303014 \nL 92.137659 164.632207 \nL 89.461166 163.723147 \nL 86.7312 162.547056 \nL 83.980993 161.075057 \nL 81.252529 159.27976 \nL 78.597246 157.137428 \nL 76.076257 154.630762 \nL 73.759892 151.752277 \nL 71.726304 148.508107 \nL 70.058854 144.921985 \nL 68.842157 141.038828 \nL 68.156778 136.92729 \nL 68.072802 132.680458 \nL 68.642878 128.413907 \nL 69.895599 124.260552 \nL 71.830279 120.362222 \nL 74.414247 116.858578 \nL 77.583424 113.874782 \nL 81.246473 111.509776 \nL 85.292024 109.827241 \nL 89.597913 108.850863 \nL 94.040925 108.564639 \nL 98.505587 108.917911 \nL 102.890896 109.833835 \nL 107.114412 111.219482 \nL 111.113791 112.975832 \nL 114.84619 115.006188 \nL 118.286215 117.22234 \nL 121.423103 119.548218 \nL 124.257657 121.921415 \nL 126.799344 124.293038 \nL 129.063742 126.626513 \nL 131.070433 128.895813 \nL 134.399401 133.178957 \nL 136.968886 137.074409 \nL 138.954462 140.575695 \nL 141.172561 145.142751 \nL 145.259766 154.102004 \nL 146.281521 155.751249 \nL 147.413918 157.191555 \nL 148.703303 158.423744 \nL 150.195619 159.440826 \nL 151.938563 160.227311 \nL 153.983165 160.758115 \nL 156.384664 160.997022 \nL 159.202405 160.894712 \nL 162.498236 160.386548 \nL 166.332581 159.390561 \nL 170.756862 157.806593 \nL 173.200771 156.758256 \nL 175.800437 155.518419 \nL 178.552661 154.071393 \nL 181.449709 152.402083 \nL 184.478075 150.496958 \nL 187.617057 148.345358 \nL 190.837213 145.941188 \nL 194.098707 143.285035 \nL 197.349745 140.386716 \nL 200.525221 137.268178 \nL 203.545893 133.96654 \nL 206.318426 130.537009 \nL 208.736744 127.055108 \nL 210.685173 123.617534 \nL 212.043768 120.340793 \nL 212.696078 117.356746 \nL 212.539178 114.804354 \nL 211.49525 112.817621 \nL 209.523298 111.510516 \nL 206.628929 110.960988 \nL 202.869842 111.197157 \nL 198.355014 112.189323 \nL 193.236736 113.850627 \nL 187.696289 116.047272 \nL 181.925829 118.616571 \nL 170.410874 124.207845 \nL 150.839171 133.956141 \nL 133.34458 142.413491 \nL 129.8967 144.35204 \nL 127.181021 146.144573 \nL 124.96652 147.870962 \nL 122.178645 150.400588 \nL 118.732142 153.634843 \nL 116.895159 155.142391 \nL 114.881039 156.534726 \nL 112.630951 157.77306 \nL 110.09746 158.811004 \nL 107.244982 159.59177 \nL 104.05275 160.044903 \nL 102.328162 160.122094 \nL 100.520675 160.08329 \nL 98.635016 159.914745 \nL 96.678544 159.601655 \nL 94.661711 159.128337 \nL 92.598552 158.478539 \nL 90.507178 157.635914 \nL 88.410238 156.584681 \nL 86.335291 155.310517 \nL 84.31503 153.801689 \nL 82.387257 152.050433 \nL 80.594559 150.054549 \nL 78.983539 147.819147 \nL 77.603542 145.358394 \nL 76.504826 142.697115 \nL 75.736173 139.871976 \nL 75.342006 136.931961 \nL 75.359222 133.937891 \nL 75.813981 130.960712 \nL 76.718862 128.078512 \nL 78.070748 125.372276 \nL 79.849832 122.920816 \nL 82.019994 120.795284 \nL 84.530611 119.05405 \nL 87.319643 117.738611 \nL 90.317625 116.871095 \nL 93.452086 116.453678 \nL 96.651823 116.469943 \nL 99.850608 116.887799 \nL 102.989971 117.663454 \nL 106.020953 118.745805 \nL 108.904839 120.080671 \nL 111.613054 121.614408 \nL 114.126419 123.296689 \nL 116.434009 125.082361 \nL 118.531818 126.932442 \nL 120.421388 128.814438 \nL 122.108511 130.702127 \nL 123.602062 132.575021 \nL 124.913007 134.417663 \nL 127.036589 137.970843 \nL 128.581289 141.309774 \nL 129.645023 144.418319 \nL 130.313518 147.30103 \nL 130.656794 149.973189 \nL 130.728421 152.454685 \nL 130.56629 154.766418 \nL 130.194056 156.92828 \nL 129.622701 158.95811 \nL 128.851938 160.871087 \nL 127.87127 162.67936 \nL 126.660686 164.391626 \nL 125.19101 166.012462 \nL 123.423994 167.541207 \nL 121.312335 168.970159 \nL 118.799876 170.281786 \nL 115.822443 171.444505 \nL 112.310054 172.406635 \nL 110.330885 172.788803 \nL 108.191676 173.087926 \nL 105.884869 173.287677 \nL 103.404347 173.368407 \nL 100.746152 173.306689 \nL 97.909411 173.074866 \nL 94.897492 172.640686 \nL 91.719419 171.96706 \nL 88.391563 171.01209 \nL 84.939585 169.729488 \nL 81.400603 168.069596 \nL 77.82544 165.981234 \nL 74.280736 163.414662 \nL 70.850604 160.325883 \nL 67.637314 156.682468 \nL 64.760427 152.470887 \nL 62.353639 147.705001 \nL 60.558696 142.434832 \nL 59.516002 136.754153 \nL 59.352088 130.804888 \nL 60.164948 124.775935 \nL 62.009294 118.894454 \nL 64.884531 113.408759 \nL 68.728533 108.564044 \nL 73.419526 104.574528 \nL 78.786696 101.597398 \nL 84.627937 99.714448 \nL 90.731175 98.925547 \nL 96.89499 99.155079 \nL 102.944789 100.269047 \nL 108.74246 102.098 \nL 114.189364 104.460463 \nL 119.224035 107.182486 \nL 123.816595 110.111027 \nL 127.961849 113.120869 \nL 131.67247 116.116114 \nL 134.97311 119.028026 \nL 137.89574 121.810892 \nL 142.751614 126.892931 \nL 146.533947 131.281583 \nL 150.788279 136.636347 \nL 154.965462 141.845 \nL 156.789485 143.763085 \nL 158.600351 145.281922 \nL 160.488597 146.426126 \nL 162.524942 147.206272 \nL 164.76349 147.620389 \nL 167.243183 147.655822 \nL 169.987255 147.291622 \nL 173.000476 146.501973 \nL 176.264084 145.261309 \nL 179.728472 143.551854 \nL 183.304271 141.374367 \nL 186.853305 138.762201 \nL 190.182353 135.797653 \nL 191.688997 134.226203 \nL 193.044351 132.627194 \nL 194.211503 131.03022 \nL 195.153006 129.468984 \nL 195.832422 127.980425 \nL 196.216159 126.603406 \nL 196.275508 125.37695 \nL 195.988763 124.338049 \nL 195.343199 123.519288 \nL 194.336715 122.946428 \nL 192.978882 122.63631 \nL 191.291219 122.595306 \nL 189.30657 122.818663 \nL 187.06759 123.290829 \nL 184.624453 123.986807 \nL 182.032027 124.874364 \nL 176.623945 127.075979 \nL 171.264653 129.6001 \nL 166.287439 132.20145 \nL 161.907301 134.72247 \nL 158.226684 137.090734 \nL 155.261542 139.293581 \nL 152.972388 141.348838 \nL 151.29117 143.282532 \nL 150.140781 145.116221 \nL 149.447494 146.862041 \nL 149.147933 148.522327 \nL 149.192289 150.091255 \nL 149.545239 151.556862 \nL 150.185576 152.902632 \nL 151.105234 154.108362 \nL 152.308087 155.150263 \nL 153.808711 156.000402 \nL 155.63112 156.625602 \nL 157.807311 156.985915 \nL 160.375341 157.032855 \nL 163.376429 156.707634 \nL 166.850373 155.939849 \nL 170.828248 154.64746 \nL 175.321086 152.739486 \nL 177.754574 151.525518 \nL 180.30303 150.123697 \nL 182.953588 148.524911 \nL 185.687734 146.722617 \nL 188.480253 144.714069 \nL 191.29812 142.501813 \nL 194.09951 140.095425 \nL 196.83299 137.513427 \nL 199.437111 134.785238 \nL 201.840613 131.952973 \nL 203.96348 129.072765 \nL 205.719165 126.215177 \nL 207.018156 123.464246 \nL 207.773027 120.914702 \nL 207.904879 118.66695 \nL 207.35075 116.81981 \nL 206.071261 115.461392 \nL 204.057364 114.65914 \nL 201.334912 114.450646 \nL 197.96583 114.837092 \nL 194.045123 115.781128 \nL 189.69378 117.210147 \nL 185.04849 119.024692 \nL 180.249885 121.110552 \nL 170.7097 125.643711 \nL 157.954047 132.073273 \nL 148.102433 137.186357 \nL 143.154761 139.911848 \nL 139.30318 142.269607 \nL 136.329866 144.405237 \nL 134.023083 146.422608 \nL 132.19519 148.38316 \nL 130.687985 150.315749 \nL 128.14031 154.11548 \nL 126.267739 156.876919 \nL 124.900142 158.652311 \nL 123.366197 160.358629 \nL 121.609731 161.979758 \nL 119.575737 163.496008 \nL 117.208757 164.881335 \nL 114.452513 166.099491 \nL 111.251266 167.098968 \nL 107.553644 167.806584 \nL 105.505585 168.020269 \nL 103.320162 168.119769 \nL 100.996389 168.086293 \nL 98.536005 167.898217 \nL 95.944301 167.530941 \nL 93.231096 166.956894 \nL 90.411865 166.145731 \nL 87.508985 165.064812 \nL 84.553051 163.680111 \nL 81.584187 161.957638 \nL 78.653181 159.865522 \nL 75.822267 157.376846 \nL 73.165255 154.47332 \nL 70.766713 151.149661 \nL 68.719838 147.418516 \nL 67.1227 143.315392 \nL 66.072716 138.902882 \nL 65.659446 134.273168 \nL 65.956191 129.5477 \nL 67.011315 124.873067 \nL 68.840644 120.41253 \nL 71.422394 116.333526 \nL 74.695993 112.792526 \nL 78.565463 109.919514 \nL 82.907189 107.804865 \nL 87.580875 106.491198 \nL 92.441821 105.971643 \nL 97.352466 106.194655 \nL 102.1915 107.073874 \nL 106.859645 108.500818 \nL 111.281979 110.3578 \nL 115.407379 112.529085 \nL 119.205994 114.909073 \nL 122.665649 117.4072 \nL 125.787975 119.949923 \nL 128.584758 122.480488 \nL 131.074793 124.957289 \nL 133.281327 127.351532 \nL 136.947797 131.826122 \nL 139.796016 135.838569 \nL 142.027335 139.391738 \nL 145.322159 145.261768 \nL 147.298762 148.742932 \nL 148.572561 150.687556 \nL 149.90265 152.356258 \nL 151.354674 153.759506 \nL 152.987318 154.897717 \nL 154.855409 155.760891 \nL 157.012058 156.328027 \nL 159.509645 156.566342 \nL 162.399362 156.430315 \nL 165.72879 155.860981 \nL 169.536724 154.786053 \nL 173.844187 153.122134 \nL 176.183593 152.041611 \nL 178.640262 150.780941 \nL 181.204466 149.330472 \nL 183.861525 147.682445 \nL 186.590816 145.832036 \nL 189.364714 143.778678 \nL 192.147584 141.527594 \nL 194.894857 139.091561 \nL 197.552417 136.492798 \nL 200.056406 133.764809 \nL 202.333738 130.95397 \nL 204.303541 128.12051 \nL 205.879789 125.338438 \nL 206.975312 122.693996 \nL 207.507204 120.282168 \nL 207.403455 118.201041 \nL 206.610283 116.544047 \nL 205.09932 115.390794 \nL 202.873497 114.79755 \nL 199.970378 114.78914 \nL 196.461932 115.353966 \nL 192.450229 116.443752 \nL 188.059417 117.978424 \nL 183.425153 119.855602 \nL 178.683255 121.962831 \nL 169.36137 126.440336 \nL 157.058473 132.671697 \nL 147.644816 137.609877 \nL 142.937833 140.26491 \nL 139.28066 142.585132 \nL 136.46013 144.705948 \nL 134.272022 146.721618 \nL 132.536657 148.686573 \nL 131.10314 150.625407 \nL 128.670222 154.436187 \nL 126.872879 157.204434 \nL 125.556329 158.985339 \nL 124.07671 160.699661 \nL 122.379338 162.333147 \nL 120.410066 163.868414 \nL 118.113568 165.282279 \nL 115.432739 166.542081 \nL 112.309641 167.600803 \nL 108.68871 168.390751 \nL 106.676372 168.656227 \nL 104.523356 168.815724 \nL 102.227143 168.851297 \nL 99.7876 168.742105 \nL 97.207772 168.464201 \nL 94.494822 167.990429 \nL 91.661154 167.290474 \nL 88.725671 166.331191 \nL 85.715161 165.077264 \nL 82.665738 163.492389 \nL 79.624192 161.541076 \nL 76.649105 159.191223 \nL 73.811441 156.417568 \nL 71.194293 153.206017 \nL 68.891426 149.558703 \nL 67.00421 145.499415 \nL 65.636694 141.078741 \nL 64.888703 136.37792 \nL 64.847328 131.510256 \nL 65.577512 126.618833 \nL 67.113053 121.869664 \nL 69.449597 117.440106 \nL 72.541267 113.503476 \nL 76.302058 110.211996 \nL 80.612292 107.680952 \nL 85.329262 105.977186 \nL 90.300237 105.114173 \nL 95.375571 105.054457 \nL 100.419788 105.718502 \nL 105.319253 106.997689 \nL 109.985986 108.768626 \nL 114.358015 110.906222 \nL 118.397196 113.293838 \nL 122.085551 115.829783 \nL 125.42107 118.430427 \nL 128.413623 121.03057 \nL 131.081382 123.582008 \nL 133.447886 126.051079 \nL 137.384986 130.663687 \nL 140.447505 134.788542 \nL 142.849324 138.425088 \nL 146.400664 144.381788 \nL 148.533669 147.868881 \nL 149.908386 149.793268 \nL 151.342874 151.423457 \nL 152.906583 152.769854 \nL 154.66078 153.831973 \nL 156.6616 154.598176 \nL 158.961953 155.045255 \nL 161.612042 155.137885 \nL 164.658148 154.828206 \nL 168.139063 154.05596 \nL 172.079395 152.750083 \nL 176.47869 150.833215 \nL 178.839609 149.621977 \nL 181.295323 148.231304 \nL 183.830601 146.655338 \nL 186.424619 144.891203 \nL 189.050077 142.940209 \nL 191.672337 140.809219 \nL 194.248743 138.512198 \nL 196.72818 136.071794 \nL 199.051107 133.52086 \nL 201.150196 130.903663 \nL 202.951823 128.276494 \nL 204.378605 125.707339 \nL 205.353078 123.274215 \nL 205.802508 121.061907 \nL 205.664662 119.156892 \nL 204.894042 117.640663 \nL 203.467851 116.58197 \nL 201.390762 116.028975 \nL 198.697514 116.00268 \nL 195.452514 116.49304 \nL 191.746115 117.458877 \nL 187.687893 118.831945 \nL 183.39781 120.524697 \nL 178.996708 122.44028 \nL 170.298722 126.566621 \nL 158.697955 132.460485 \nL 149.711927 137.288494 \nL 145.185611 139.945891 \nL 141.662668 142.294915 \nL 138.955543 144.45278 \nL 136.879404 146.50444 \nL 135.268985 148.500896 \nL 133.984327 150.466625 \nL 132.422949 153.370346 \nL 129.618389 158.952555 \nL 127.978042 161.58107 \nL 126.686318 163.258225 \nL 125.182143 164.867529 \nL 123.416421 166.400108 \nL 121.335614 167.842652 \nL 118.88072 169.174284 \nL 115.987188 170.362254 \nL 112.586362 171.356029 \nL 108.609427 172.079287 \nL 106.385236 172.306072 \nL 103.995473 172.419573 \nL 101.436131 172.398041 \nL 98.706015 172.215867 \nL 95.807776 171.843239 \nL 92.749183 171.245906 \nL 89.544641 170.38518 \nL 86.216957 169.218264 \nL 82.799276 167.699106 \nL 79.337147 165.779982 \nL 75.89049 163.413998 \nL 72.535197 160.558807 \nL 69.363964 157.181656 \nL 66.485811 153.265805 \nL 64.023687 148.818068 \nL 62.109562 143.8768 \nL 60.876567 138.519204 \nL 60.448238 132.866176 \nL 60.925521 127.082749 \nL 62.373128 121.372169 \nL 64.807562 115.962511 \nL 68.189576 111.086384 \nL 72.423349 106.956222 \nL 77.363554 103.739563 \nL 82.829476 101.53952 \nL 88.623659 100.384761 \nL 94.55132 100.231126 \nL 100.436956 100.97378 \nL 106.135668 102.466427 \nL 111.538388 104.54283 \nL 116.571758 107.036315 \nL 121.194235 109.794452 \nL 125.39024 112.687897 \nL 129.163842 115.6139 \nL 132.532945 118.495777 \nL 135.524462 121.279952 \nL 138.170572 123.931796 \nL 142.566024 128.769359 \nL 145.997022 132.958547 \nL 150.955431 139.554346 \nL 153.787653 143.188286 \nL 155.534745 145.086579 \nL 157.297682 146.606752 \nL 159.16213 147.768168 \nL 161.19676 148.576678 \nL 163.456264 149.02565 \nL 165.982644 149.09727 \nL 168.804502 148.764339 \nL 171.934013 147.993083 \nL 175.361305 146.747662 \nL 179.046122 144.997398 \nL 182.907064 142.727755 \nL 186.809601 139.955797 \nL 188.717233 138.400178 \nL 190.555676 136.749711 \nL 192.289608 135.024331 \nL 193.879966 133.249518 \nL 195.284735 131.456474 \nL 196.460135 129.681907 \nL 197.362265 127.967332 \nL 197.949175 126.357783 \nL 198.183301 124.899895 \nL 198.034118 123.639399 \nL 197.480793 122.618141 \nL 196.514547 121.870932 \nL 195.140412 121.422555 \nL 193.378069 121.285375 \nL 191.261554 121.457937 \nL 188.837758 121.924891 \nL 186.163799 122.658323 \nL 183.303586 123.620324 \nL 177.290554 126.050013 \nL 171.301623 128.849946 \nL 165.734742 131.717005 \nL 160.841971 134.461288 \nL 156.736896 137.003047 \nL 153.42864 139.338258 \nL 150.861398 141.49957 \nL 148.947529 143.527594 \nL 147.590667 145.455493 \nL 146.699793 147.303684 \nL 146.196622 149.080297 \nL 146.018645 150.783906 \nL 146.11959 152.406586 \nL 146.468559 153.936302 \nL 147.048626 155.358393 \nL 147.85537 156.656167 \nL 148.895577 157.810768 \nL 150.186229 158.800431 \nL 151.753735 159.599258 \nL 153.633306 160.175564 \nL 155.868262 160.489847 \nL 158.508924 160.492417 \nL 161.61057 160.120839 \nL 165.229645 159.297543 \nL 169.417045 157.928342 \nL 174.206811 155.903348 \nL 176.829341 154.607589 \nL 179.598064 153.102897 \nL 182.502974 151.375255 \nL 185.527914 149.412699 \nL 188.649163 147.206724 \nL 191.833902 144.754078 \nL 195.038672 142.05896 \nL 198.207943 139.135582 \nL 201.273014 136.011009 \nL 204.151551 132.728033 \nL 206.748106 129.347718 \nL 208.956075 125.951043 \nL 210.6615 122.638941 \nL 211.749062 119.529909 \nL 212.110346 116.754401 \nL 211.654048 114.445617 \nL 210.317173 112.726844 \nL 208.075708 111.696665 \nL 204.952594 111.414246 \nL 201.020964 111.887975 \nL 196.401008 113.070577 \nL 191.250193 114.862867 \nL 185.748215 117.126145 \nL 180.079429 119.700803 \nL 168.905757 125.162798 \nL 150.187854 134.488289 \nL 135.57012 141.640133 \nL 131.861234 143.695559 \nL 128.9649 145.567545 \nL 126.641415 147.353831 \nL 124.69033 149.101129 \nL 117.78891 155.696887 \nL 115.800167 157.140519 \nL 113.567901 158.436997 \nL 111.042591 159.54216 \nL 108.18489 160.401224 \nL 104.968425 160.945083 \nL 103.222313 161.072387 \nL 101.385572 161.08667 \nL 99.461705 160.97381 \nL 97.456762 160.718395 \nL 95.379836 160.303834 \nL 93.243613 159.712612 \nL 91.06493 158.926692 \nL 88.865348 157.92813 \nL 86.671636 156.699913 \nL 84.516156 155.227088 \nL 82.437032 153.498159 \nL 80.477989 151.506784 \nL 78.687778 149.253698 \nL 77.119065 146.748739 \nL 75.826685 144.01282 \nL 74.865243 141.079591 \nL 74.286075 137.996427 \nL 74.133754 134.824464 \nL 74.442387 131.637317 \nL 75.232135 128.518297 \nL 76.506379 125.556108 \nL 78.250055 122.839314 \nL 80.429474 120.450126 \nL 82.993842 118.458225 \nL 85.878355 116.915563 \nL 89.008524 115.852821 \nL 92.305169 115.27809 \nL 95.689431 115.177829 \nL 99.087212 115.519842 \nL 102.432617 116.257677 \nL 105.670185 117.335653 \nL 108.755917 118.693862 \nL 111.65727 120.272495 \nL 114.352364 122.015221 \nL 116.828703 123.871447 \nL 119.081656 125.797571 \nL 121.112873 127.757379 \nL 122.928804 129.721814 \nL 124.539369 131.66836 \nL 125.956823 133.580195 \nL 128.267716 137.255495 \nL 129.975463 140.69352 \nL 131.189596 143.879337 \nL 132.006475 146.820179 \nL 132.505672 149.534411 \nL 132.749403 152.044888 \nL 132.783627 154.37522 \nL 132.639857 156.547813 \nL 132.33712 158.58295 \nL 131.883713 160.498453 \nL 131.278597 162.309676 \nL 130.512357 164.029548 \nL 129.567729 165.668593 \nL 128.419727 167.234774 \nL 127.035419 168.733031 \nL 125.373445 170.16438 \nL 123.383388 171.524349 \nL 121.00522 172.800469 \nL 118.169145 173.968406 \nL 114.796453 174.98619 \nL 110.802399 175.78583 \nL 108.545736 176.072688 \nL 106.1028 176.261636 \nL 103.46528 176.331035 \nL 100.627053 176.25478 \nL 97.585252 176.001687 \nL 94.341598 175.53493 \nL 90.904097 174.811622 \nL 87.289088 173.782666 \nL 83.523656 172.393068 \nL 79.648391 170.582965 \nL 75.720311 168.289685 \nL 71.815724 165.451241 \nL 68.032568 162.011593 \nL 64.49161 157.928027 \nL 61.335631 153.180635 \nL 58.725585 147.783539 \nL 56.832808 141.796649 \nL 55.826649 135.335914 \nL 55.857788 128.579139 \nL 57.038704 121.763886 \nL 59.424371 115.174683 \nL 62.997347 109.118487 \nL 67.661589 103.890676 \nL 73.248011 99.737431 \nL 79.531901 96.82274 \nL 86.258893 95.208292 \nL 93.173805 94.851089 \nL 100.04608 95.618735 \nL 106.687271 97.317108 \nL 112.958907 99.722767 \nL 118.771836 102.612556 \nL 124.079787 105.785473 \nL 128.870197 109.075182 \nL 133.154773 112.354123 \nL 136.961225 115.531556 \nL 140.326755 118.548196 \nL 145.904499 123.979481 \nL 150.230479 128.558979 \nL 159.676623 138.920333 \nL 161.625791 140.636189 \nL 163.506188 141.920735 \nL 165.407552 142.811109 \nL 167.393825 143.330065 \nL 169.506439 143.489334 \nL 171.765951 143.293233 \nL 174.172046 142.742805 \nL 176.702062 141.84069 \nL 179.308503 140.597056 \nL 181.916278 139.036519 \nL 184.420899 137.205678 \nL 186.689384 135.180066 \nL 188.565965 133.06848 \nL 189.305303 132.023417 \nL 189.884603 131.011808 \nL 190.284826 130.054691 \nL 190.48919 129.173348 \nL 190.484075 128.388456 \nL 190.259895 127.719157 \nL 189.811873 127.182089 \nL 189.140636 126.790478 \nL 188.252552 126.553355 \nL 187.159765 126.475028 \nL 185.879909 126.554844 \nL 184.43548 126.78728 \nL 181.161553 127.666563 \nL 177.57612 128.995111 \nL 173.923071 130.629011 \nL 170.417882 132.429893 \nL 167.226119 134.286702 \nL 164.456757 136.123587 \nL 162.16715 137.896406 \nL 160.37446 139.583377 \nL 159.068807 141.174909 \nL 158.225178 142.66553 \nL 157.812722 144.048705 \nL 157.80125 145.314171 \nL 158.165247 146.446931 \nL 158.885935 147.427097 \nL 159.951864 148.230029 \nL 161.358373 148.826493 \nL 163.106125 149.182729 \nL 165.198732 149.260554 \nL 167.639316 149.017744 \nL 170.425777 148.409158 \nL 173.544416 147.389159 \nL 176.961588 145.916228 \nL 180.613375 143.960673 \nL 184.393736 141.516339 \nL 188.142882 138.616596 \nL 189.938983 137.021841 \nL 191.639253 135.353278 \nL 193.206534 133.634427 \nL 194.600822 131.894221 \nL 195.780339 130.166846 \nL 196.703011 128.491132 \nL 197.328357 126.909431 \nL 197.619722 125.465903 \nL 197.54673 124.204255 \nL 197.08777 123.165045 \nL 196.232268 122.382745 \nL 194.982431 121.882935 \nL 193.354205 121.679923 \nL 191.377216 121.775274 \nL 189.093593 122.157462 \nL 186.555739 122.80283 \nL 183.823262 123.677716 \nL 180.959405 124.741556 \nL 175.087259 127.260552 \nL 169.390436 130.02797 \nL 164.201698 132.792119 \nL 159.714722 135.410377 \nL 156.001838 137.83351 \nL 153.049179 140.0703 \nL 150.792391 142.15385 \nL 149.144795 144.119107 \nL 148.016336 145.991922 \nL 147.324772 147.786102 \nL 147.001308 149.504642 \nL 146.992699 151.142379 \nL 147.261309 152.688594 \nL 147.78416 154.128866 \nL 148.551609 155.446072 \nL 149.566016 156.620568 \nL 150.840578 157.629677 \nL 152.398366 158.446636 \nL 154.271454 159.039085 \nL 156.499972 159.367151 \nL 159.13071 159.381241 \nL 162.214772 159.019721 \nL 165.803473 158.206864 \nL 169.941348 156.851867 \nL 174.654681 154.850428 \nL 177.226135 153.572487 \nL 179.933627 152.091426 \nL 182.765976 150.394859 \nL 185.705943 148.472684 \nL 188.728911 146.318454 \nL 191.801505 143.931097 \nL 194.88022 141.316981 \nL 197.910208 138.49229 \nL 200.82443 135.485579 \nL 203.543462 132.340281 \nL 205.976257 129.11681 \nL 208.022276 125.893725 \nL 209.575327 122.76733 \nL 210.529353 119.848997 \nL 210.786198 117.259567 \nL 210.264938 115.120633 \nL 208.911885 113.542973 \nL 206.709826 112.613327 \nL 203.684661 112.38175 \nL 199.907675 112.852116 \nL 195.492178 113.978515 \nL 190.58444 115.669208 \nL 185.350157 117.797883 \nL 179.958902 120.220085 \nL 169.318088 125.382581 \nL 137.260707 141.536871 \nL 133.666861 143.65817 \nL 130.867422 145.604793 \nL 128.63465 147.468854 \nL 126.776419 149.295813 \nL 123.58373 152.875357 \nL 121.203349 155.450783 \nL 119.461987 157.076572 \nL 117.517671 158.598342 \nL 115.311754 159.983953 \nL 112.792036 161.193741 \nL 109.913033 162.17694 \nL 106.638587 162.867232 \nL 104.845633 163.076367 \nL 102.947493 163.177897 \nL 100.945412 163.157059 \nL 98.843007 162.997338 \nL 96.646832 162.680498 \nL 94.367015 162.186704 \nL 92.017967 161.49479 \nL 89.619121 160.582755 \nL 87.195679 159.428504 \nL 84.779281 158.010909 \nL 82.408528 156.311261 \nL 80.129221 154.315089 \nL 77.994179 152.014405 \nL 76.062482 149.410248 \nL 74.397965 146.515408 \nL 73.066854 143.357025 \nL 72.134486 139.97872 \nL 71.6612 136.441765 \nL 71.697629 132.824811 \nL 72.279866 129.221697 \nL 73.425066 125.737145 \nL 75.128206 122.480403 \nL 77.360619 119.557414 \nL 80.070763 117.062369 \nL 83.187287 115.069876 \nL 86.624094 113.629027 \nL 90.286677 112.760204 \nL 94.078872 112.455171 \nL 97.909049 112.680175 \nL 101.69509 113.381394 \nL 105.36771 114.491592 \nL 108.872082 115.936976 \nL 112.167966 117.643254 \nL 115.228715 119.540384 \nL 118.039577 121.565769 \nL 120.595664 123.665963 \nL 122.899864 125.797186 \nL 124.960901 127.924946 \nL 126.791631 130.023109 \nL 128.407619 132.072716 \nL 131.064569 135.978775 \nL 133.073051 139.588986 \nL 134.567785 142.894349 \nL 135.66742 145.909612 \nL 136.471123 148.66011 \nL 137.291605 152.351642 \nL 137.957039 156.601724 \nL 139.336809 166.748428 \nL 139.954416 169.03015 \nL 140.577901 170.515266 \nL 141.395259 171.803383 \nL 142.080485 172.546557 \nL 142.90683 173.189395 \nL 143.905005 173.721496 \nL 145.112294 174.128136 \nL 146.573879 174.388885 \nL 148.344304 174.475713 \nL 150.48898 174.350398 \nL 153.085546 173.96106 \nL 156.224669 173.237613 \nL 160.009532 172.086019 \nL 164.552621 170.381555 \nL 169.967469 167.962006 \nL 173.033605 166.421934 \nL 176.351443 164.623321 \nL 179.925386 162.534698 \nL 183.753628 160.123364 \nL 187.825752 157.356786 \nL 192.119772 154.204775 \nL 196.598584 150.642668 \nL 201.205898 146.655724 \nL 205.861824 142.244957 \nL 210.458476 137.43445 \nL 214.856245 132.279946 \nL 218.881751 126.878007 \nL 222.328882 121.374378 \nL 224.964684 115.969183 \nL 226.541979 110.915703 \nL 226.82013 106.508826 \nL 225.593948 103.05976 \nL 222.728278 100.856051 \nL 218.192101 100.110815 \nL 212.083002 100.911784 \nL 204.631863 103.185994 \nL 196.181361 106.696046 \nL 187.140183 111.075284 \nL 177.924259 115.894432 \nL 160.355841 125.272168 \nL 152.471923 129.27002 \nL 145.344655 132.622235 \nL 138.997491 135.3123 \nL 133.405318 137.38729 \nL 128.514525 138.92877 \nL 124.258071 140.030275 \nL 120.565417 140.782748 \nL 117.368362 141.266728 \nL 112.21605 141.684463 \nL 108.377044 141.668363 \nL 105.527296 141.442692 \nL 102.596408 140.962094 \nL 100.793424 140.469058 \nL 99.53115 139.918196 \nL 99.067396 139.497195 \nL 99.132661 139.410584 \nL 99.416975 139.491083 \nL 99.849986 139.86635 \nL 100.144167 140.444052 \nL 100.178267 140.952714 \nL 99.998981 141.414029 \nL 99.615369 141.752092 \nL 99.071735 141.906028 \nL 98.4425 141.83835 \nL 97.823999 141.542784 \nL 97.321665 141.050304 \nL 97.032295 140.430557 \nL 97.023363 139.785041 \nL 97.21476 139.354222 \nL 97.563578 139.021605 \nL 98.039484 138.824991 \nL 98.597789 138.787963 \nL 99.377032 138.995607 \nL 100.074951 139.465165 \nL 100.575203 140.121342 \nL 100.794607 140.861553 \nL 100.748575 141.404032 \nL 100.520038 141.883726 \nL 100.12259 142.258082 \nL 99.583546 142.490911 \nL 98.94314 142.55478 \nL 98.253124 142.433689 \nL 97.574302 142.125977 \nL 96.97247 141.647045 \nL 96.51251 141.03109 \nL 96.250839 140.330778 \nL 96.227114 139.613774 \nL 96.456919 138.955743 \nL 96.927312 138.430545 \nL 97.596873 138.09945 \nL 98.400623 138.002006 \nL 99.258775 138.15083 \nL 100.087242 138.531321 \nL 100.807467 139.105724 \nL 101.353914 139.819761 \nL 101.678499 140.609827 \nL 101.752344 141.40918 \nL 101.565788 142.152513 \nL 101.12767 142.778958 \nL 100.46466 143.234271 \nL 99.620897 143.472905 \nL 98.657692 143.460889 \nL 97.652503 143.17984 \nL 96.696032 142.632138 \nL 95.886238 141.846238 \nL 95.318514 140.880393 \nL 95.114935 140.178749 \nL 95.071664 139.467646 \nL 95.19765 138.78203 \nL 95.492857 138.157508 \nL 95.947694 137.627734 \nL 96.543339 137.221813 \nL 97.252895 136.962013 \nL 98.043288 136.862176 \nL 98.877645 136.926993 \nL 99.717808 137.152186 \nL 100.908616 137.762035 \nL 101.918936 138.636858 \nL 102.662324 139.690698 \nL 103.080339 140.830447 \nL 103.161819 141.592476 \nL 103.081285 142.325964 \nL 102.840161 143.006563 \nL 102.444066 143.611484 \nL 101.902696 144.119505 \nL 101.229868 144.511039 \nL 100.443713 144.768321 \nL 99.566945 144.875821 \nL 98.627115 144.820925 \nL 97.656724 144.594931 \nL 96.693023 144.194332 \nL 95.777319 143.622319 \nL 94.953647 142.890322 \nL 94.266677 142.019331 \nL 93.758881 141.04066 \nL 93.467089 139.995762 \nL 93.4188 138.934749 \nL 93.62879 137.913495 \nL 94.096591 136.989459 \nL 94.805431 136.216688 \nL 95.722953 135.640758 \nL 96.803719 135.29458 \nL 97.993151 135.195734 \nL 99.232181 135.345801 \nL 100.461939 135.731612 \nL 101.627737 136.327949 \nL 102.681959 137.101077 \nL 103.585688 138.012312 \nL 104.309191 139.021176 \nL 104.831514 140.087763 \nL 105.139546 141.17425 \nL 105.226845 142.245617 \nL 105.092513 143.269746 \nL 104.740308 144.217139 \nL 104.1781 145.060362 \nL 103.417741 145.773516 \nL 102.475348 146.3318 \nL 101.371958 146.711332 \nL 100.134464 146.889406 \nL 98.7967 146.845259 \nL 97.40044 146.561511 \nL 95.996032 146.026331 \nL 94.642297 145.236295 \nL 93.40526 144.199765 \nL 92.355336 142.940302 \nL 91.562757 141.499456 \nL 91.091334 139.937941 \nL 90.991154 138.334237 \nL 91.291308 136.779935 \nL 91.994187 135.371813 \nL 92.489346 134.751732 \nL 93.072773 134.201611 \nL 93.73671 133.730386 \nL 95.26814 133.052389 \nL 96.997495 132.75516 \nL 98.829152 132.846216 \nL 100.667604 133.305348 \nL 102.425582 134.090436 \nL 104.029576 135.145129 \nL 105.422463 136.406533 \nL 106.56356 137.811542 \nL 107.426904 139.301168 \nL 107.998535 140.822818 \nL 108.273555 142.330902 \nL 108.253409 143.786248 \nL 107.943782 145.154804 \nL 107.353209 146.406026 \nL 106.492492 147.511193 \nL 105.374905 148.441902 \nL 104.017161 149.168833 \nL 102.441087 149.660985 \nL 100.675907 149.885558 \nL 98.760981 149.80875 \nL 96.748715 149.397811 \nL 94.70712 148.624612 \nL 92.721349 147.471035 \nL 90.893148 145.936074 \nL 90.07364 145.031945 \nL 89.337152 144.043996 \nL 88.698745 142.980496 \nL 88.173053 141.852135 \nL 87.773821 140.672083 \nL 87.513369 139.455903 \nL 87.402072 138.221375 \nL 87.447834 136.98813 \nL 87.655624 135.77718 \nL 88.027105 134.610278 \nL 88.560367 133.509205 \nL 89.249842 132.494967 \nL 90.086363 131.586995 \nL 91.057409 130.802382 \nL 92.147521 130.15523 \nL 93.338834 129.656149 \nL 94.611721 129.311951 \nL 95.945495 129.125547 \nL 97.319109 129.096063 \nL 98.711818 129.219124 \nL 100.103771 129.487316 \nL 101.476493 129.890714 \nL 102.813253 130.417512 \nL 104.099304 131.054611 \nL 106.470875 132.604291 \nL 108.515289 134.429455 \nL 110.187211 136.428244 \nL 111.465919 138.513858 \nL 112.348279 140.616497 \nL 112.842104 142.682155 \nL 112.960693 144.669706 \nL 112.718836 146.547376 \nL 112.130265 148.289181 \nL 111.206437 149.87164 \nL 109.956498 151.270846 \nL 108.388322 152.459863 \nL 106.510599 153.406503 \nL 104.335996 154.071506 \nL 101.885476 154.40737 \nL 99.193811 154.358285 \nL 97.77379 154.170039 \nL 96.31614 153.861833 \nL 94.832105 153.425578 \nL 93.335075 152.853552 \nL 91.840744 152.138779 \nL 90.367217 151.275497 \nL 88.93502 150.259714 \nL 87.567005 149.089827 \nL 86.288093 147.767322 \nL 85.124858 146.297458 \nL 84.104904 144.689956 \nL 83.256028 142.959587 \nL 82.605203 141.126573 \nL 82.177366 139.216747 \nL 81.994115 137.26136 \nL 82.072369 135.29647 \nL 82.423125 133.3619 \nL 83.050412 131.499766 \nL 83.950591 129.752608 \nL 85.112078 128.161328 \nL 86.515572 126.763051 \nL 88.1348 125.589141 \nL 89.937694 124.663574 \nL 91.887951 124.001851 \nL 93.946778 123.610545 \nL 96.074689 123.487474 \nL 98.233185 123.622519 \nL 100.386195 123.998859 \nL 102.501197 124.594553 \nL 104.54996 125.38419 \nL 106.50896 126.340526 \nL 108.359441 127.435924 \nL 110.087252 128.643543 \nL 111.682473 129.938235 \nL 113.138931 131.297134 \nL 114.453648 132.700005 \nL 115.626268 134.129355 \nL 117.553668 137.010833 \nL 118.950966 139.852174 \nL 119.859843 142.596318 \nL 120.323989 145.20978 \nL 120.382686 147.674719 \nL 120.067085 149.982562 \nL 119.398437 152.129061 \nL 118.387693 154.110482 \nL 117.03602 155.920516 \nL 115.336037 157.547487 \nL 113.273746 158.971609 \nL 110.831295 160.161957 \nL 107.99099 161.073103 \nL 106.417533 161.4049 \nL 104.741087 161.641401 \nL 102.962473 161.771218 \nL 101.084102 161.781413 \nL 99.11042 161.657496 \nL 97.048428 161.383448 \nL 94.908248 160.941871 \nL 92.703754 160.314266 \nL 90.453204 159.481465 \nL 88.17988 158.424324 \nL 85.91266 157.124631 \nL 83.686435 155.566372 \nL 81.542305 153.737289 \nL 79.527411 151.630755 \nL 77.694288 149.247922 \nL 76.099616 146.59998 \nL 74.802236 143.710341 \nL 73.860463 140.616431 \nL 73.328661 137.370743 \nL 73.253357 134.040727 \nL 73.669148 130.707181 \nL 74.594922 127.460942 \nL 76.030902 124.397883 \nL 77.957051 121.612572 \nL 80.333245 119.191321 \nL 80.333245 119.191321 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p1aba1b2806\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(results_test_np[:,0], results_test_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(results_test_np[:,0], results_test_np[:,1], results_test_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "source": [
-    "# Runge-Kutta method for training"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stderr",
-     "text": [
-      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:25: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n  self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_train_coeffs = {\"sigma\": 20*torch.rand(()), \"rho\": 20*torch.rand(()), \"beta\": 20*torch.rand(())} # Start with arbitrary values\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stdout",
-     "text": [
-      "Epoch: 0\t Loss: tensor(0.0269, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(11.0100, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(9.3664, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.1177, requires_grad=True)}\n",
-      "Epoch: 1\t Loss: tensor(0.0425, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.3953, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(14.0696, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.4969, requires_grad=True)}\n",
-      "Epoch: 2\t Loss: tensor(0.0134, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.3503, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(18.3947, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.4089, requires_grad=True)}\n",
-      "Epoch: 3\t Loss: tensor(0.0015, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.5030, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(21.6698, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6779, requires_grad=True)}\n",
-      "Epoch: 4\t Loss: tensor(0.0011, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.2792, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(24.8491, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(3.0546, requires_grad=True)}\n",
-      "Epoch: 5\t Loss: tensor(0.0157, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.3136, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(26.7616, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.1074, requires_grad=True)}\n",
-      "Epoch: 6\t Loss: tensor(0.0050, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.1203, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(27.8602, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6805, requires_grad=True)}\n",
-      "Epoch: 7\t Loss: tensor(0.0042, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.8177, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.1609, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.8560, requires_grad=True)}\n",
-      "Epoch: 8\t Loss: tensor(5.5081e-05, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.1653, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.2235, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7401, requires_grad=True)}\n",
-      "Epoch: 9\t Loss: tensor(0.0001, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.3832, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.2487, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7291, requires_grad=True)}\n",
-      "Epoch: 10\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.2228, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.2755, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.5824, requires_grad=True)}\n",
-      "Epoch: 11\t Loss: tensor(0.0013, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.1830, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.2776, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6609, requires_grad=True)}\n",
-      "Epoch: 12\t Loss: tensor(0.0021, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.6465, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.1997, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.5274, requires_grad=True)}\n",
-      "Epoch: 13\t Loss: tensor(8.0008e-05, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.6710, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.1879, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7209, requires_grad=True)}\n",
-      "Epoch: 14\t Loss: tensor(0.0037, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.9806, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.1990, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.4557, requires_grad=True)}\n",
-      "Epoch: 15\t Loss: tensor(0.0012, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.1266, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.1765, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7954, requires_grad=True)}\n",
-      "Epoch: 16\t Loss: tensor(0.0007, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.1158, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.1551, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.5480, requires_grad=True)}\n",
-      "Epoch: 17\t Loss: tensor(0.0006, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(9.9688, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.1413, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.5416, requires_grad=True)}\n",
-      "Epoch: 18\t Loss: tensor(0.0004, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.1186, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.1213, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.7960, requires_grad=True)}\n",
-      "Epoch: 19\t Loss: tensor(9.6682e-05, grad_fn=<MseLossBackward>)\n",
-      "{'sigma': Parameter containing:\n",
-      "tensor(10.0542, requires_grad=True), 'rho': Parameter containing:\n",
-      "tensor(28.1391, requires_grad=True), 'beta': Parameter containing:\n",
-      "tensor(2.6882, requires_grad=True)}\n",
-      "Time elapsed:  117.03746318817139\n"
-     ]
-    }
-   ],
-   "source": [
-    "start = time.time()\n",
-    "\n",
-    "ode_solver_train.fit_random_sample(\n",
-    "    result,\n",
-    "    torch.optim.Adam,\n",
-    "    {\"lr\": 0.5},\n",
-    "    max_epochs=20,\n",
-    "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-    "    scheduler_params={\"milestones\": [10],\"gamma\": 0.2}\n",
-    ")\n",
-    "\n",
-    "end = time.time()\n",
-    "print(\"Time elapsed: \", end-start)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "{'sigma': Parameter containing:\n",
-       " tensor(10.0542, requires_grad=True),\n",
-       " 'rho': Parameter containing:\n",
-       " tensor(28.1391, requires_grad=True),\n",
-       " 'beta': Parameter containing:\n",
-       " tensor(2.6882, requires_grad=True)}"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 24
-    }
-   ],
-   "source": [
-    "ode_solver_train.coeffs"
-   ]
-  },
-  {
-   "source": [
-    "# Predictions for nt = 10000"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "results_test = ode_solver_train(10000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
-      "text/plain": [
-       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 9.1757e-01,  2.6760e-01,  1.2693e-03],\n",
-       "        [ 8.6752e-01,  5.1411e-01,  4.6744e-03],\n",
-       "        ...,\n",
-       "        [-4.9755e+00, -7.6280e+00,  1.8139e+01],\n",
-       "        [-5.2501e+00, -8.0631e+00,  1.8054e+01],\n",
-       "        [-5.5415e+00, -8.5255e+00,  1.8017e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 26
-    }
-   ],
-   "source": [
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "output_type": "stream",
-     "name": "stderr",
-     "text": [
-      "<ipython-input-27-daf29898cee0>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 391.245 297.190125\" width=\"391.245pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:27:04.958850</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 391.245 297.190125 \nL 391.245 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \nL 384.045 7.2 \nL 26.925 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mdd325423ac\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"66.292582\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- −15 -->\n      <g transform=\"translate(55.740238 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"109.448078\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- −10 -->\n      <g transform=\"translate(98.895734 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"152.603574\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- −5 -->\n      <g transform=\"translate(145.23248 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"195.75907\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0 -->\n      <g transform=\"translate(192.57782 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"238.914565\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 5 -->\n      <g transform=\"translate(235.733315 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"282.070061\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(275.707561 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"325.225557\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 15 -->\n      <g transform=\"translate(318.863057 287.910437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"368.381053\" xlink:href=\"#mdd325423ac\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 20 -->\n      <g transform=\"translate(362.018553 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_9\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m7dce02e76f\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7dce02e76f\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0 -->\n      <g transform=\"translate(13.5625 265.015219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7dce02e76f\" y=\"211.406146\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 215.205365)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7dce02e76f\" y=\"161.596292\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 165.39551)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7dce02e76f\" y=\"111.786437\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 115.585656)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7dce02e76f\" y=\"61.976583\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 65.775802)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#m7dce02e76f\" y=\"12.166729\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 15.965948)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p4004c354e4)\" d=\"M 204.390169 261.216 \nL 203.053762 261.166812 \nL 203.069786 261.132303 \nL 204.191032 260.965813 \nL 209.396723 260.267236 \nL 214.894231 259.248829 \nL 219.87908 258.044986 \nL 222.854849 257.196465 \nL 226.199587 256.125713 \nL 229.952347 254.775923 \nL 234.154927 253.076784 \nL 238.851152 250.941858 \nL 244.085696 248.265816 \nL 249.902245 244.921792 \nL 256.340796 240.759295 \nL 263.433778 235.603428 \nL 271.200702 229.256528 \nL 279.641025 221.503876 \nL 288.724967 212.125517 \nL 298.382389 200.916675 \nL 308.490126 187.71898 \nL 318.859025 172.463553 \nL 329.222935 155.224038 \nL 339.233132 136.272698 \nL 348.462644 116.126236 \nL 356.424921 95.561544 \nL 362.609855 75.580694 \nL 366.535967 57.311983 \nL 367.812273 41.853778 \nL 366.197382 30.093025 \nL 361.641398 22.54959 \nL 354.298441 19.296 \nL 344.505977 19.976937 \nL 332.736538 23.9161 \nL 319.534721 30.269144 \nL 305.454389 38.1743 \nL 291.007626 46.865317 \nL 249.380589 72.419544 \nL 236.929021 79.812605 \nL 225.414484 86.467651 \nL 214.878643 92.391596 \nL 196.709751 102.241775 \nL 175.989787 113.031 \nL 148.650134 127.204626 \nL 142.068535 130.529261 \nL 138.550142 132.094227 \nL 135.478574 133.184473 \nL 132.704628 133.821746 \nL 130.126293 134.021113 \nL 127.68124 133.797387 \nL 125.340406 133.170403 \nL 123.102384 132.169433 \nL 120.98826 130.836592 \nL 119.036481 129.229197 \nL 117.297438 127.420477 \nL 115.827517 125.498265 \nL 114.682754 123.561394 \nL 113.912235 121.713979 \nL 113.551829 120.057875 \nL 113.619062 118.684619 \nL 113.812612 118.127938 \nL 114.109678 117.66783 \nL 114.506128 117.309776 \nL 114.996472 117.057558 \nL 115.573936 116.913274 \nL 116.957611 116.948549 \nL 118.583062 117.400421 \nL 120.366314 118.23232 \nL 122.219566 119.391549 \nL 124.056881 120.814929 \nL 125.798895 122.433963 \nL 127.376131 124.178943 \nL 128.730976 125.981858 \nL 129.818411 127.778208 \nL 130.605855 129.507874 \nL 131.072386 131.115374 \nL 131.207724 132.549832 \nL 131.011228 133.764876 \nL 130.49107 134.718743 \nL 129.663758 135.374646 \nL 128.553992 135.701652 \nL 127.194789 135.676106 \nL 125.627858 135.283527 \nL 123.903895 134.521066 \nL 122.082663 133.400143 \nL 120.232507 131.949003 \nL 118.428989 130.214691 \nL 116.752397 128.263768 \nL 115.284015 126.181102 \nL 114.101208 124.066382 \nL 113.27167 122.028093 \nL 112.84748 120.175443 \nL 112.859803 118.609252 \nL 113.0327 117.960559 \nL 113.315098 117.413047 \nL 113.703704 116.973289 \nL 114.193637 116.646083 \nL 114.778517 116.434355 \nL 115.450624 116.339208 \nL 116.201043 116.359957 \nL 117.896402 116.738218 \nL 119.777146 117.533133 \nL 121.750162 118.690253 \nL 123.723169 120.143018 \nL 125.610119 121.818588 \nL 127.335173 123.642613 \nL 128.835031 125.542556 \nL 130.059917 127.449739 \nL 130.973393 129.300346 \nL 131.551532 131.035589 \nL 131.781719 132.6016 \nL 131.661464 133.949147 \nL 131.197406 135.033493 \nL 130.840857 135.464283 \nL 130.404675 135.814689 \nL 129.892048 136.080569 \nL 128.652837 136.34436 \nL 127.159448 136.231988 \nL 125.457248 135.72965 \nL 123.60119 134.836207 \nL 121.655988 133.566183 \nL 119.695541 131.95266 \nL 117.80138 130.049363 \nL 116.059811 127.931289 \nL 114.557606 125.693101 \nL 113.376413 123.444756 \nL 112.586286 121.304413 \nL 112.239149 119.38907 \nL 112.241553 118.549494 \nL 112.36317 117.804324 \nL 112.603185 117.163403 \nL 112.958989 116.634787 \nL 113.426204 116.224594 \nL 113.998753 115.936929 \nL 114.669016 115.773873 \nL 115.42798 115.7355 \nL 116.265461 115.820026 \nL 118.130614 116.342058 \nL 120.167982 117.294367 \nL 122.277102 118.613498 \nL 124.360425 120.225216 \nL 126.328815 122.050628 \nL 128.105285 124.010947 \nL 129.626994 126.030643 \nL 130.845746 128.03911 \nL 131.727413 129.971279 \nL 132.250728 131.767562 \nL 132.405837 133.373428 \nL 132.192961 134.73896 \nL 131.621353 135.818717 \nL 131.206239 136.238486 \nL 130.708737 136.571934 \nL 130.132368 136.814833 \nL 128.759835 137.014295 \nL 127.127984 136.812971 \nL 125.285849 136.197549 \nL 123.292757 135.168495 \nL 121.218562 133.743462 \nL 119.143042 131.960555 \nL 117.154124 129.880606 \nL 115.344589 127.587676 \nL 113.807138 125.186953 \nL 112.628027 122.799474 \nL 111.879805 120.553704 \nL 111.61415 118.574841 \nL 111.671201 117.720872 \nL 111.855861 116.973279 \nL 112.166426 116.341859 \nL 112.599234 115.834353 \nL 113.148736 115.456319 \nL 113.807582 115.211093 \nL 114.566825 115.099785 \nL 115.416102 115.12137 \nL 116.343872 115.272846 \nL 118.384433 115.94471 \nL 120.582722 117.059733 \nL 122.830885 118.545266 \nL 125.026243 120.319366 \nL 127.076802 122.29727 \nL 128.904721 124.39602 \nL 130.447868 126.537323 \nL 131.659847 128.648841 \nL 132.508963 130.664453 \nL 132.976663 132.523791 \nL 133.055814 134.171658 \nL 132.749254 135.557378 \nL 132.454669 136.137278 \nL 132.068718 136.634609 \nL 131.594174 137.044288 \nL 131.034341 137.361585 \nL 130.393056 137.582148 \nL 129.674718 137.702073 \nL 128.027422 137.627076 \nL 126.13985 137.117394 \nL 124.070158 136.166919 \nL 121.887838 134.786434 \nL 119.673654 133.007508 \nL 117.518357 130.8857 \nL 115.519799 128.502125 \nL 113.778287 125.962439 \nL 112.390036 123.392399 \nL 111.439417 120.929695 \nL 110.990747 118.712674 \nL 110.967428 117.736547 \nL 111.081003 116.86751 \nL 111.330995 116.117419 \nL 111.714744 115.495984 \nL 112.227477 115.010576 \nL 112.862387 114.666136 \nL 113.610781 114.465116 \nL 114.462288 114.407581 \nL 115.405121 114.491318 \nL 116.426341 114.712033 \nL 118.648146 115.53828 \nL 121.01232 116.820198 \nL 123.403533 118.47577 \nL 125.714055 120.415396 \nL 127.849202 122.548567 \nL 129.730485 124.78837 \nL 131.296688 127.053968 \nL 132.503341 129.271493 \nL 133.321268 131.373844 \nL 133.734597 133.299961 \nL 133.738852 134.993896 \nL 133.588883 135.737536 \nL 133.339332 136.404127 \nL 132.992216 136.987865 \nL 132.550065 137.48321 \nL 132.015935 137.884928 \nL 131.393397 138.188107 \nL 130.686587 138.388225 \nL 129.90021 138.481216 \nL 129.039582 138.463564 \nL 127.120148 138.085531 \nL 124.984511 137.240787 \nL 122.700921 135.9322 \nL 120.350099 134.183296 \nL 118.024612 132.042411 \nL 115.82657 129.585503 \nL 113.86339 126.916487 \nL 112.241372 124.16398 \nL 111.057544 121.473806 \nL 110.390508 118.997574 \nL 110.268142 117.885201 \nL 110.291741 116.878616 \nL 110.462391 115.992089 \nL 110.778809 115.237685 \nL 111.237348 114.625018 \nL 111.832048 114.161062 \nL 112.554769 113.850055 \nL 113.395402 113.693534 \nL 114.342096 113.690437 \nL 115.381555 113.837267 \nL 116.499368 114.128371 \nL 118.908715 115.111708 \nL 121.444823 116.563467 \nL 123.984701 118.392042 \nL 126.415531 120.500169 \nL 128.64 122.791712 \nL 130.579083 125.175961 \nL 132.172563 127.56972 \nL 133.377986 129.897707 \nL 134.168676 132.091937 \nL 134.531403 134.090628 \nL 134.464199 135.837082 \nL 134.271402 136.599153 \nL 133.974645 137.27876 \nL 133.576195 137.869918 \nL 133.078825 138.366897 \nL 132.485825 138.764254 \nL 131.801017 139.056859 \nL 131.028781 139.239972 \nL 130.174105 139.309306 \nL 129.242606 139.261129 \nL 127.175128 138.800803 \nL 124.885933 137.844865 \nL 122.447687 136.396631 \nL 119.946726 134.481991 \nL 117.48246 132.154108 \nL 115.164859 129.496692 \nL 113.109662 126.624261 \nL 111.431177 123.678344 \nL 110.232986 120.81872 \nL 109.840923 119.473016 \nL 109.59773 118.210232 \nL 109.508882 117.049121 \nL 109.57744 116.00672 \nL 109.803932 115.097904 \nL 110.186274 114.335026 \nL 110.719799 113.727613 \nL 111.397322 113.28224 \nL 112.209327 113.002432 \nL 113.144209 112.888759 \nL 114.188558 112.938959 \nL 115.327509 113.148217 \nL 116.545093 113.509453 \nL 119.149035 114.650346 \nL 121.864658 116.273417 \nL 124.560996 118.277229 \nL 127.119938 120.556773 \nL 129.441465 123.010309 \nL 131.445986 125.543421 \nL 133.074281 128.070652 \nL 134.285873 130.51539 \nL 135.056533 132.808834 \nL 135.375556 134.888488 \nL 135.365439 135.830004 \nL 135.243312 136.696808 \nL 135.010652 137.482308 \nL 134.669437 138.180099 \nL 134.222155 138.783996 \nL 133.671772 139.288035 \nL 133.021774 139.686513 \nL 132.276179 139.974026 \nL 131.439578 140.145538 \nL 130.517179 140.196489 \nL 129.514859 140.12286 \nL 128.439227 139.921317 \nL 126.098455 139.12551 \nL 123.564438 137.80197 \nL 120.921529 135.965196 \nL 118.269113 133.657027 \nL 115.72009 130.951462 \nL 113.396909 127.957007 \nL 111.424864 124.81482 \nL 109.922709 121.691586 \nL 109.380417 120.193095 \nL 108.991465 118.766722 \nL 108.763838 117.434071 \nL 108.703059 116.215293 \nL 108.811991 115.128524 \nL 109.090669 114.189412 \nL 109.536251 113.410677 \nL 110.143043 112.801877 \nL 110.90264 112.369225 \nL 111.804111 112.115562 \nL 112.83431 112.040471 \nL 113.9782 112.140501 \nL 115.219251 112.40946 \nL 116.539866 112.838777 \nL 119.346494 114.134927 \nL 122.25133 115.929063 \nL 125.114845 118.109593 \nL 127.813228 120.563518 \nL 130.243461 123.183417 \nL 132.325163 125.87114 \nL 133.999969 128.538978 \nL 135.229257 131.109037 \nL 135.991122 133.511688 \nL 136.277216 135.683754 \nL 136.24227 136.664887 \nL 136.090054 137.566738 \nL 135.82225 138.382535 \nL 135.441035 139.105663 \nL 134.949057 139.729702 \nL 134.349435 140.248409 \nL 133.645794 140.655771 \nL 132.842292 140.946048 \nL 131.943665 141.113855 \nL 130.955284 141.154251 \nL 129.883216 141.062828 \nL 128.734297 140.83589 \nL 127.516207 140.470597 \nL 126.237539 139.965114 \nL 123.537703 138.53269 \nL 120.723699 136.55243 \nL 117.90116 134.067894 \nL 115.190993 131.158031 \nL 112.725156 127.940106 \nL 110.639264 124.567902 \nL 109.779641 122.880152 \nL 109.062081 121.223706 \nL 108.499549 119.623418 \nL 108.102959 118.103817 \nL 107.88083 116.688407 \nL 107.838941 115.399022 \nL 107.980099 114.255155 \nL 108.303999 113.273452 \nL 108.807126 112.467241 \nL 109.482855 111.846262 \nL 110.321571 111.416498 \nL 111.310919 111.180193 \nL 112.436173 111.136006 \nL 113.680607 111.279293 \nL 115.025957 111.602461 \nL 116.452878 112.095431 \nL 117.941443 112.746118 \nL 121.023473 114.465192 \nL 124.116854 116.640876 \nL 127.081115 119.150218 \nL 129.797442 121.875164 \nL 132.171736 124.707749 \nL 134.134574 127.551983 \nL 135.638968 130.323452 \nL 136.656986 132.947598 \nL 137.176065 135.357507 \nL 137.24794 136.462755 \nL 137.195656 137.491723 \nL 137.020593 138.437286 \nL 136.724609 139.292481 \nL 136.310022 140.050476 \nL 135.779591 140.704565 \nL 135.136541 141.248201 \nL 134.384566 141.67502 \nL 133.527894 141.978873 \nL 132.571331 142.153939 \nL 131.520323 142.1948 \nL 130.381043 142.096565 \nL 129.160462 141.855035 \nL 127.866451 141.466845 \nL 126.507853 140.929707 \nL 125.094554 140.242604 \nL 123.637581 139.40603 \nL 120.642498 137.295509 \nL 117.634121 134.641684 \nL 114.741427 131.526934 \nL 112.106478 128.076257 \nL 109.876424 124.455835 \nL 108.957808 122.643201 \nL 108.191881 120.864417 \nL 107.592868 119.146741 \nL 107.172769 117.517086 \nL 106.940936 116.001238 \nL 106.903697 114.62307 \nL 107.064084 113.403855 \nL 107.421666 112.361596 \nL 107.972477 111.510572 \nL 108.709084 110.861006 \nL 109.620761 110.41891 \nL 110.693788 110.18612 \nL 111.911842 110.160497 \nL 113.25645 110.336256 \nL 114.707522 110.704438 \nL 116.24387 111.253432 \nL 117.843738 111.969521 \nL 121.147197 113.840991 \nL 124.450607 116.187723 \nL 127.604294 118.876395 \nL 130.483353 121.781137 \nL 132.990479 124.788598 \nL 135.055343 127.799413 \nL 136.631658 130.727213 \nL 137.693103 133.496345 \nL 138.026926 134.800019 \nL 138.229061 136.039138 \nL 138.300006 137.206053 \nL 138.240819 138.293344 \nL 138.053048 139.293735 \nL 137.738684 140.200052 \nL 137.300139 141.005227 \nL 136.740236 141.702267 \nL 136.062228 142.284276 \nL 135.269821 142.744479 \nL 134.367227 143.076292 \nL 133.359223 143.273361 \nL 132.25123 143.329698 \nL 131.049408 143.239795 \nL 129.760747 142.998797 \nL 128.393169 142.602665 \nL 126.955638 142.048417 \nL 125.458244 141.334361 \nL 123.912299 140.460384 \nL 122.330408 139.428214 \nL 120.726489 138.2417 \nL 119.115797 136.90712 \nL 117.51485 135.433407 \nL 115.941363 133.832367 \nL 114.414078 132.118824 \nL 112.952528 130.310645 \nL 111.576739 128.428715 \nL 110.30687 126.496689 \nL 109.162783 124.540684 \nL 108.163533 122.588782 \nL 107.326875 120.670389 \nL 106.668687 118.815488 \nL 106.202485 117.053786 \nL 105.938887 115.413814 \nL 105.885211 113.922049 \nL 106.045136 112.602063 \nL 106.418498 111.473805 \nL 107.001197 110.553038 \nL 107.785265 109.850953 \nL 108.759056 109.374001 \nL 109.907604 109.123939 \nL 111.213049 109.098088 \nL 112.655157 109.289703 \nL 114.211918 109.688523 \nL 115.860145 110.28141 \nL 117.576083 111.052972 \nL 119.335975 111.986223 \nL 122.895615 114.265482 \nL 126.366745 116.972842 \nL 129.601999 119.967497 \nL 132.484047 123.121911 \nL 134.926154 126.324702 \nL 136.869595 129.480152 \nL 138.279268 132.505873 \nL 138.778197 133.9472 \nL 139.138697 135.329595 \nL 139.360843 136.645088 \nL 139.445332 137.885954 \nL 139.393393 139.044642 \nL 139.206712 140.113721 \nL 138.887376 141.085848 \nL 138.437855 141.953707 \nL 137.86098 142.710011 \nL 137.159973 143.347512 \nL 136.338465 143.859008 \nL 135.400558 144.237402 \nL 134.3509 144.47576 \nL 133.194762 144.56743 \nL 131.938145 144.506161 \nL 130.587894 144.286273 \nL 129.151815 143.902853 \nL 127.638803 143.351987 \nL 126.058953 142.631033 \nL 124.423674 141.73892 \nL 122.74579 140.676453 \nL 121.039582 139.446673 \nL 119.320846 138.055158 \nL 117.606851 136.510361 \nL 115.916266 134.823856 \nL 114.26901 133.010567 \nL 112.686024 131.088839 \nL 111.188989 129.080448 \nL 109.799907 127.010427 \nL 108.540639 124.906727 \nL 107.432391 122.799731 \nL 106.495106 120.72154 \nL 105.746844 118.705178 \nL 105.203194 116.783602 \nL 104.876668 114.988706 \nL 104.776197 113.350254 \nL 104.906745 111.894933 \nL 105.268994 110.64544 \nL 105.859241 109.619825 \nL 106.669452 108.83102 \nL 107.687437 108.286595 \nL 108.897234 107.988812 \nL 110.279583 107.934869 \nL 111.812531 108.117382 \nL 113.472085 108.525 \nL 115.232923 109.14312 \nL 117.069062 109.954641 \nL 118.954514 110.940734 \nL 120.863886 112.081541 \nL 124.65866 114.746396 \nL 128.278718 117.790976 \nL 131.58109 121.069837 \nL 134.457223 124.455778 \nL 136.831365 127.840474 \nL 138.656123 131.132313 \nL 139.354044 132.718475 \nL 139.906818 134.252801 \nL 140.313965 135.726886 \nL 140.575747 137.132681 \nL 140.693043 138.462377 \nL 140.66723 139.708345 \nL 140.50011 140.863033 \nL 140.19385 141.918944 \nL 139.750934 142.868555 \nL 139.174166 143.704302 \nL 138.466673 144.418605 \nL 137.631941 145.003825 \nL 136.673868 145.452342 \nL 135.596849 145.756614 \nL 134.405864 145.909239 \nL 133.106589 145.90313 \nL 131.70553 145.731628 \nL 130.210153 145.388737 \nL 128.629036 144.869355 \nL 126.972014 144.169559 \nL 125.250306 143.286927 \nL 123.47666 142.220898 \nL 121.665437 140.973143 \nL 119.832682 139.547968 \nL 117.99614 137.952676 \nL 116.175205 136.197938 \nL 114.390816 134.298071 \nL 112.665249 132.27123 \nL 111.021804 130.139494 \nL 109.484444 127.928743 \nL 108.077285 125.66839 \nL 106.824019 123.390907 \nL 105.74728 121.131124 \nL 104.867943 118.925323 \nL 104.204388 116.810194 \nL 103.771852 114.821678 \nL 103.581768 112.993748 \nL 103.641271 111.357215 \nL 103.9528 109.938699 \nL 104.5139 108.759719 \nL 105.317213 107.836092 \nL 106.350631 107.177595 \nL 107.597691 106.787933 \nL 109.038079 106.664968 \nL 110.648286 106.801253 \nL 112.402359 107.18473 \nL 114.272706 107.799544 \nL 116.230873 108.626931 \nL 118.248305 109.646123 \nL 120.297024 110.835164 \nL 122.350237 112.171672 \nL 126.37156 115.198904 \nL 130.136735 118.560172 \nL 133.508027 122.107222 \nL 136.385906 125.71422 \nL 138.705256 129.276386 \nL 139.643064 131.01275 \nL 140.429276 132.706181 \nL 141.062602 134.347683 \nL 141.542694 135.928761 \nL 141.869969 137.441304 \nL 142.045463 138.877462 \nL 142.0707 140.229551 \nL 141.947602 141.489969 \nL 141.678394 142.651098 \nL 141.265584 143.70529 \nL 140.711913 144.644783 \nL 140.020384 145.461691 \nL 139.194275 146.148015 \nL 138.237202 146.69565 \nL 137.15319 147.096438 \nL 135.94678 147.342234 \nL 134.623145 147.42504 \nL 133.188227 147.337123 \nL 131.648899 147.071233 \nL 130.013118 146.620844 \nL 128.29011 145.980426 \nL 126.490535 145.14579 \nL 124.62664 144.114476 \nL 122.712429 142.886159 \nL 120.763752 141.463102 \nL 118.798383 139.850643 \nL 116.836043 138.05759 \nL 114.898315 136.096673 \nL 113.0085 133.984821 \nL 111.191368 131.743384 \nL 109.47278 129.398172 \nL 107.8792 126.979256 \nL 106.4371 124.5206 \nL 105.172294 122.059397 \nL 104.109111 119.635179 \nL 103.269638 117.288685 \nL 102.672848 115.060577 \nL 102.333868 112.990024 \nL 102.263277 111.11331 \nL 102.46658 109.462479 \nL 102.943853 108.064218 \nL 103.689622 106.938962 \nL 104.692946 106.100365 \nL 105.937743 105.555104 \nL 107.403327 105.303037 \nL 109.065086 105.337733 \nL 110.895331 105.647182 \nL 112.86419 106.214769 \nL 114.940524 107.020305 \nL 117.092809 108.041055 \nL 119.289979 109.252775 \nL 121.502113 110.6306 \nL 123.701044 112.149802 \nL 125.860802 113.786402 \nL 129.971677 117.322108 \nL 133.679867 121.074017 \nL 136.87376 124.904989 \nL 138.253841 126.814195 \nL 139.480854 128.702785 \nL 140.550696 130.559881 \nL 141.460764 132.375526 \nL 142.209734 134.140506 \nL 142.797306 135.846221 \nL 143.224019 137.484502 \nL 143.491053 139.047482 \nL 143.600097 140.527495 \nL 143.553203 141.91694 \nL 143.352698 143.208206 \nL 143.001124 144.3936 \nL 142.501187 145.465263 \nL 141.855761 146.415168 \nL 141.067902 147.23504 \nL 140.14089 147.916414 \nL 139.078309 148.450616 \nL 137.884138 148.82884 \nL 136.562878 149.042201 \nL 135.119691 149.081904 \nL 133.560568 148.939378 \nL 131.892511 148.60651 \nL 130.123729 148.075918 \nL 128.26384 147.341265 \nL 126.324074 146.397678 \nL 124.317483 145.242173 \nL 122.259084 143.874161 \nL 120.166015 142.295971 \nL 118.057628 140.513377 \nL 115.955504 138.536167 \nL 113.883368 136.37858 \nL 111.866915 134.059704 \nL 109.933533 131.603698 \nL 108.11184 129.039833 \nL 106.431141 126.402254 \nL 104.92068 123.729504 \nL 103.608873 121.063699 \nL 102.522364 118.449444 \nL 101.685072 115.932455 \nL 101.117255 113.557991 \nL 100.834618 111.369196 \nL 100.847566 109.405438 \nL 101.160617 107.700805 \nL 101.77206 106.282831 \nL 102.673901 105.171589 \nL 103.852025 104.379201 \nL 105.286683 103.909783 \nL 106.953176 103.759827 \nL 108.822725 103.918932 \nL 110.863492 104.370803 \nL 113.041631 105.094464 \nL 115.32234 106.065488 \nL 117.67089 107.257257 \nL 120.053477 108.642074 \nL 122.438007 110.192144 \nL 124.79469 111.880369 \nL 127.09645 113.680918 \nL 129.319223 115.569669 \nL 131.442085 117.524421 \nL 133.447248 119.524983 \nL 135.319974 121.553192 \nL 137.048382 123.592774 \nL 138.623223 125.629201 \nL 140.037608 127.649524 \nL 141.286714 129.642126 \nL 142.367478 131.596535 \nL 143.278328 133.503214 \nL 144.018887 135.353356 \nL 144.589737 137.138713 \nL 144.992196 138.851431 \nL 145.22812 140.483897 \nL 145.299748 142.028618 \nL 145.209579 143.478096 \nL 144.960267 144.824741 \nL 144.55456 146.060791 \nL 143.995283 147.178227 \nL 143.285317 148.168737 \nL 142.42764 149.023704 \nL 141.425386 149.734159 \nL 140.28192 150.29082 \nL 139.000964 150.68415 \nL 137.586731 150.904428 \nL 136.044086 150.941879 \nL 134.378755 150.78684 \nL 132.59751 150.430002 \nL 130.70842 149.86272 \nL 128.72107 149.077353 \nL 126.646821 148.067719 \nL 124.499031 146.829579 \nL 122.293285 145.361233 \nL 120.047575 143.664115 \nL 117.782407 141.74347 \nL 115.520869 139.608951 \nL 113.288577 137.275254 \nL 111.1135 134.762568 \nL 109.02565 132.096934 \nL 107.056601 129.310302 \nL 105.238843 126.440342 \nL 103.605005 123.529909 \nL 102.186891 120.626117 \nL 101.01443 117.779071 \nL 100.11454 115.040246 \nL 99.510036 112.460639 \nL 99.218567 110.088788 \nL 99.251731 107.968795 \nL 99.6144 106.138509 \nL 100.304328 104.628085 \nL 101.312089 103.458919 \nL 102.621312 102.643123 \nL 104.209261 102.183575 \nL 106.04768 102.074424 \nL 108.103839 102.302055 \nL 110.341737 102.846404 \nL 112.723369 103.682351 \nL 115.209917 104.7813 \nL 117.762924 106.112582 \nL 120.345283 107.644781 \nL 122.922079 109.346829 \nL 125.461199 111.188838 \nL 127.933791 113.142725 \nL 130.314526 115.18262 \nL 132.581678 117.285037 \nL 134.71708 119.428905 \nL 136.705966 121.595527 \nL 138.536725 123.768371 \nL 140.2006 125.932883 \nL 141.691363 128.076219 \nL 143.00496 130.187006 \nL 144.13917 132.25507 \nL 145.093259 134.271223 \nL 145.867689 136.227019 \nL 146.463825 138.114555 \nL 146.883706 139.926314 \nL 147.129816 141.654964 \nL 147.204926 143.293264 \nL 147.111954 144.833899 \nL 146.853855 146.269402 \nL 146.433571 147.592039 \nL 145.85398 148.793745 \nL 145.117912 149.866073 \nL 144.228174 150.800112 \nL 143.187608 151.586514 \nL 141.999191 152.215455 \nL 140.666151 152.676694 \nL 139.192126 152.959628 \nL 137.581339 153.053397 \nL 135.838815 152.947068 \nL 133.970604 152.629847 \nL 131.984051 152.09136 \nL 129.888073 151.322069 \nL 127.693434 150.313679 \nL 125.413047 149.059739 \nL 123.062241 147.556232 \nL 120.65901 145.802302 \nL 118.224212 143.801027 \nL 115.781685 141.560187 \nL 113.358255 139.093018 \nL 110.983644 136.418881 \nL 108.690177 133.563779 \nL 106.512326 130.560622 \nL 104.48607 127.449169 \nL 102.648014 124.275573 \nL 101.03435 121.091479 \nL 99.679666 117.952664 \nL 98.615636 114.917234 \nL 97.86967 112.043482 \nL 97.463647 109.387539 \nL 97.412786 107.000962 \nL 97.72475 104.9285 \nL 98.399113 103.206178 \nL 99.427123 101.85996 \nL 100.791972 100.904992 \nL 102.469363 100.345509 \nL 104.428468 100.175469 \nL 106.633152 100.379653 \nL 109.043363 100.935165 \nL 111.616619 101.813256 \nL 114.309459 102.98113 \nL 117.078791 104.403703 \nL 119.883098 106.045205 \nL 122.683397 107.870436 \nL 125.443988 109.845823 \nL 128.132963 111.940079 \nL 130.722488 114.124656 \nL 133.188885 116.373923 \nL 135.512565 118.665181 \nL 137.677822 120.978528 \nL 139.672527 123.296625 \nL 141.487771 125.604423 \nL 143.117453 127.888851 \nL 144.557882 130.138506 \nL 145.807362 132.343339 \nL 146.865803 134.494379 \nL 147.734373 136.583487 \nL 148.415164 138.603117 \nL 148.910925 140.546116 \nL 149.224803 142.405549 \nL 149.360162 144.174538 \nL 149.320421 145.846118 \nL 149.108923 147.413126 \nL 148.72887 148.868096 \nL 148.183273 150.20315 \nL 147.474936 151.409939 \nL 146.606489 152.479559 \nL 145.580443 153.40253 \nL 144.399261 154.168734 \nL 143.065501 154.767464 \nL 141.581957 155.187404 \nL 139.951839 155.416736 \nL 138.178994 155.443261 \nL 136.268157 155.254563 \nL 134.225233 154.83829 \nL 132.057593 154.182491 \nL 129.774411 153.276031 \nL 127.387009 152.109164 \nL 124.909195 150.674174 \nL 122.357612 148.966141 \nL 119.752016 146.9838 \nL 117.115527 144.730458 \nL 114.474783 142.21497 \nL 111.859943 139.45264 \nL 109.304566 136.466061 \nL 106.845256 133.2857 \nL 104.521111 129.950197 \nL 102.372892 126.506256 \nL 100.441979 123.007981 \nL 98.769075 119.515711 \nL 97.392734 116.09421 \nL 96.347776 112.810361 \nL 95.663693 109.730468 \nL 95.363145 106.91732 \nL 95.460694 104.427302 \nL 95.961837 102.307775 \nL 96.862526 100.59501 \nL 98.14908 99.312807 \nL 99.798682 98.471996 \nL 101.780275 98.070772 \nL 104.055863 98.095758 \nL 106.582102 98.523697 \nL 109.312023 99.323561 \nL 112.196816 100.458773 \nL 115.187503 101.889469 \nL 118.236452 103.574483 \nL 121.298619 105.473086 \nL 124.332546 107.546309 \nL 127.30105 109.757877 \nL 130.171615 112.074815 \nL 132.916579 114.467709 \nL 135.513067 116.910747 \nL 137.942786 119.381536 \nL 140.191673 121.860856 \nL 142.249483 124.332291 \nL 144.109307 126.781846 \nL 145.767082 129.19756 \nL 147.221113 131.569126 \nL 148.471598 133.887556 \nL 149.520202 136.144878 \nL 150.369672 138.333864 \nL 151.023489 140.447777 \nL 151.485588 142.480166 \nL 151.760096 144.424704 \nL 151.851154 146.275007 \nL 151.762743 148.024511 \nL 151.498585 149.666335 \nL 151.062073 151.193185 \nL 150.456224 152.597241 \nL 149.683696 153.870077 \nL 148.746802 155.002572 \nL 147.647591 155.984864 \nL 146.387949 156.806313 \nL 144.96972 157.455452 \nL 143.394883 157.920035 \nL 141.665751 158.187055 \nL 139.785213 158.242871 \nL 137.757007 158.073363 \nL 135.586041 157.664197 \nL 133.278737 157.001159 \nL 130.843405 156.070596 \nL 128.290669 154.860027 \nL 125.633866 153.358847 \nL 122.889475 151.559191 \nL 120.077512 149.456926 \nL 117.221842 147.052783 \nL 114.35045 144.353498 \nL 111.495546 141.373018 \nL 108.693477 138.133575 \nL 105.984472 134.666576 \nL 103.412014 131.013158 \nL 101.022036 127.224226 \nL 98.861701 123.359917 \nL 96.977928 119.488321 \nL 95.41566 115.683466 \nL 94.215963 112.02261 \nL 93.414066 108.582953 \nL 93.037502 105.43802 \nL 93.104504 102.654048 \nL 93.622753 100.286682 \nL 94.588707 98.378302 \nL 95.987486 96.956366 \nL 97.793391 96.032654 \nL 99.971011 95.603764 \nL 102.476795 95.65254 \nL 105.260994 96.150193 \nL 108.269765 97.05899 \nL 111.447327 98.335094 \nL 114.737961 99.931326 \nL 118.087812 101.799613 \nL 121.446346 103.893024 \nL 124.767477 106.167258 \nL 128.0103 108.581727 \nL 131.139512 111.100114 \nL 134.125528 113.69058 \nL 136.944347 116.325679 \nL 139.57723 118.982079 \nL 142.010258 121.640141 \nL 144.233776 124.283458 \nL 146.241824 126.89835 \nL 148.031534 129.473388 \nL 149.60256 131.998947 \nL 150.956536 134.466809 \nL 152.096578 136.869812 \nL 153.026854 139.201542 \nL 153.752188 141.456081 \nL 154.277737 143.627785 \nL 154.608737 145.711097 \nL 154.750261 147.700364 \nL 154.707072 149.589714 \nL 154.483486 151.372915 \nL 154.083303 153.04326 \nL 153.509753 154.593453 \nL 152.765503 156.015503 \nL 151.852665 157.300632 \nL 150.772876 158.439208 \nL 149.527372 159.420645 \nL 148.117119 160.233344 \nL 146.542981 160.864669 \nL 144.80591 161.30096 \nL 142.907177 161.527527 \nL 140.848655 161.5288 \nL 138.633146 161.288457 \nL 136.264733 160.789711 \nL 133.749211 160.015697 \nL 131.094532 158.949963 \nL 128.311289 157.577182 \nL 125.413244 155.88396 \nL 122.417824 153.859921 \nL 119.346634 151.498901 \nL 116.225885 148.80031 \nL 113.08673 145.770646 \nL 109.965421 142.424978 \nL 106.903269 138.788338 \nL 103.946322 134.896915 \nL 101.144657 130.798751 \nL 98.551358 126.553844 \nL 96.221023 122.233417 \nL 94.207946 117.918301 \nL 92.563917 113.696252 \nL 91.335871 109.658435 \nL 90.563449 105.895145 \nL 90.27673 102.4912 \nL 90.49429 99.52138 \nL 91.221835 97.046411 \nL 92.451511 95.10991 \nL 94.162007 93.736674 \nL 96.319453 92.932382 \nL 98.878987 92.684686 \nL 101.786942 92.965501 \nL 104.983353 93.734184 \nL 108.404601 94.941106 \nL 111.986022 96.53122 \nL 115.664258 98.447465 \nL 119.379238 100.633563 \nL 123.075764 103.036129 \nL 126.704556 105.606245 \nL 130.222941 108.300295 \nL 133.595073 111.080315 \nL 136.791863 113.913936 \nL 139.790638 116.774045 \nL 142.574614 119.638248 \nL 145.132251 122.488239 \nL 147.456548 125.309168 \nL 149.544307 128.089035 \nL 151.395439 130.818085 \nL 153.012284 133.488327 \nL 154.399017 136.093091 \nL 155.561093 138.626659 \nL 156.504778 141.083938 \nL 157.236751 143.460244 \nL 157.763761 145.751037 \nL 158.092366 147.951765 \nL 158.228708 150.057717 \nL 158.178362 152.063856 \nL 157.946211 153.964721 \nL 157.536381 155.754288 \nL 156.952196 157.425858 \nL 156.19618 158.971956 \nL 155.270086 160.384221 \nL 154.174954 161.653294 \nL 152.911196 162.768707 \nL 151.478735 163.718802 \nL 149.877138 164.49065 \nL 148.105825 165.069989 \nL 146.164286 165.441201 \nL 144.052371 165.587327 \nL 141.770609 165.490185 \nL 139.320592 165.130497 \nL 136.705406 164.488236 \nL 133.930135 163.543015 \nL 131.002412 162.27473 \nL 127.933021 160.664371 \nL 124.736544 158.695046 \nL 121.432015 156.353321 \nL 118.043536 153.630732 \nL 114.600862 150.525568 \nL 111.139832 147.044812 \nL 107.702599 143.206069 \nL 104.337595 139.039455 \nL 101.099097 134.589071 \nL 98.046337 129.913925 \nL 95.242146 125.087949 \nL 92.751005 120.198909 \nL 90.636642 115.346028 \nL 88.959202 110.636234 \nL 87.772164 106.179266 \nL 87.119294 102.081882 \nL 87.031845 98.441765 \nL 87.526305 95.34176 \nL 88.602953 92.84513 \nL 90.24541 90.992252 \nL 92.421236 89.799372 \nL 95.083521 89.259251 \nL 98.173305 89.343578 \nL 101.622646 90.006825 \nL 105.357925 91.190812 \nL 109.303208 92.829549 \nL 113.383343 94.853778 \nL 117.526654 97.194828 \nL 121.667001 99.78766 \nL 125.745318 102.572886 \nL 129.710491 105.498044 \nL 133.519769 108.518017 \nL 137.138666 111.594936 \nL 140.540579 114.697697 \nL 143.706123 117.801227 \nL 146.62233 120.885613 \nL 149.281747 123.935266 \nL 151.681545 126.938072 \nL 153.822631 129.884673 \nL 155.70882 132.76782 \nL 157.346099 135.581804 \nL 158.741948 138.322045 \nL 159.904773 140.984715 \nL 160.843433 143.566431 \nL 161.566821 146.06404 \nL 162.08355 148.474415 \nL 162.401694 150.794308 \nL 162.528596 153.020193 \nL 162.470714 155.148157 \nL 162.233536 157.173801 \nL 161.821512 159.092099 \nL 161.238033 160.897313 \nL 160.485435 162.582869 \nL 159.565028 164.141232 \nL 158.477156 165.563785 \nL 157.221285 166.840716 \nL 155.7961 167.96086 \nL 154.19966 168.911582 \nL 152.429548 169.67865 \nL 150.483107 170.246152 \nL 148.357665 170.596377 \nL 146.050863 170.709841 \nL 143.561006 170.565292 \nL 140.887502 170.13986 \nL 138.031359 169.409312 \nL 134.995778 168.348517 \nL 131.786818 166.932091 \nL 128.41413 165.135295 \nL 124.891786 162.935298 \nL 121.239107 160.31273 \nL 117.481522 157.253615 \nL 113.65137 153.751644 \nL 109.788556 149.810723 \nL 105.940978 145.447658 \nL 102.164609 140.694741 \nL 98.523108 135.601992 \nL 95.086838 130.238603 \nL 91.931172 124.693271 \nL 89.134075 119.072932 \nL 86.772996 113.499696 \nL 84.921161 108.105839 \nL 83.643513 103.027094 \nL 82.992651 98.394719 \nL 83.005163 94.327204 \nL 83.698729 90.922443 \nL 85.070377 88.251631 \nL 87.096147 86.355355 \nL 89.73215 85.242602 \nL 92.917029 84.892548 \nL 96.575453 85.258734 \nL 100.622301 86.274886 \nL 104.967113 87.861503 \nL 109.518414 89.932436 \nL 114.187496 92.400679 \nL 118.891578 95.182969 \nL 123.556091 98.203113 \nL 128.116183 101.393981 \nL 132.517412 104.698322 \nL 136.715851 108.06874 \nL 140.677646 111.467041 \nL 144.378243 114.863214 \nL 147.801351 118.234201 \nL 150.937818 121.562702 \nL 153.784459 124.835996 \nL 156.342906 128.044925 \nL 158.618549 131.183017 \nL 160.619567 134.245752 \nL 162.356081 137.229984 \nL 163.839423 140.133501 \nL 165.081528 142.954648 \nL 166.09443 145.692077 \nL 166.889847 148.344534 \nL 167.478872 150.910698 \nL 167.871727 153.389059 \nL 168.077581 155.77782 \nL 168.104423 158.074788 \nL 167.958981 160.277293 \nL 167.646674 162.382114 \nL 167.171597 164.385375 \nL 166.536521 166.28243 \nL 165.742924 168.067778 \nL 164.791037 169.734931 \nL 163.679898 171.27625 \nL 162.407434 172.682843 \nL 160.970548 173.944354 \nL 159.365247 175.048804 \nL 157.586777 175.982415 \nL 155.629796 176.7294 \nL 153.488586 177.271811 \nL 151.157329 177.589345 \nL 148.630412 177.659268 \nL 145.902832 177.456338 \nL 142.970685 176.952842 \nL 139.831732 176.118814 \nL 136.486096 174.922428 \nL 132.937083 173.330662 \nL 129.192099 171.3103 \nL 125.263715 168.829355 \nL 121.170788 165.858984 \nL 116.939666 162.375948 \nL 112.60535 158.365626 \nL 108.21255 153.82551 \nL 103.816482 148.769053 \nL 99.483219 143.229544 \nL 95.289442 137.263645 \nL 91.3214 130.953951 \nL 87.672829 124.409986 \nL 84.44183 117.766882 \nL 81.726676 111.181343 \nL 79.620667 104.824612 \nL 78.206504 98.872745 \nL 77.550531 93.494981 \nL 77.69759 88.841534 \nL 78.667084 85.032509 \nL 80.450773 82.149342 \nL 83.012662 80.230208 \nL 86.291007 79.269843 \nL 90.202237 79.223595 \nL 94.646252 80.014794 \nL 99.512522 81.544143 \nL 104.686254 83.699573 \nL 110.054121 86.365406 \nL 115.509041 89.429842 \nL 120.953861 92.790483 \nL 126.303751 96.357589 \nL 131.487509 100.055592 \nL 136.44785 103.823148 \nL 141.140926 107.61208 \nL 145.535306 111.385821 \nL 149.610594 115.11758 \nL 153.355874 118.78844 \nL 156.768121 122.385643 \nL 159.850649 125.901076 \nL 162.611668 129.330016 \nL 165.06301 132.670117 \nL 167.219007 135.920638 \nL 169.095547 139.081865 \nL 170.709283 142.154661 \nL 172.077009 145.140176 \nL 173.215147 148.039645 \nL 174.139363 150.854218 \nL 174.864279 153.584873 \nL 175.403268 156.232361 \nL 175.768304 158.797138 \nL 175.969879 161.279337 \nL 176.016956 163.67872 \nL 175.91695 165.99466 \nL 175.675733 168.226066 \nL 175.297657 170.371359 \nL 174.785589 172.428373 \nL 174.140949 174.394316 \nL 173.363754 176.265644 \nL 172.452663 178.037967 \nL 171.405032 179.705899 \nL 170.216952 181.262932 \nL 168.88332 182.701242 \nL 167.397885 184.011496 \nL 165.753329 185.182614 \nL 163.941353 186.201536 \nL 161.952795 187.052916 \nL 159.777761 187.718852 \nL 157.405829 188.178561 \nL 154.826293 188.408059 \nL 152.028476 188.379895 \nL 149.002152 188.062893 \nL 145.738079 187.422014 \nL 142.22867 186.418375 \nL 138.468825 185.009492 \nL 134.456964 183.149864 \nL 130.196239 180.792012 \nL 125.695996 177.888144 \nL 120.973403 174.39253 \nL 116.055251 170.264801 \nL 110.979833 165.474205 \nL 105.798733 160.004876 \nL 100.57842 153.861878 \nL 95.401215 147.077703 \nL 90.365471 139.718539 \nL 85.584502 131.889283 \nL 81.183931 123.736155 \nL 77.297255 115.445565 \nL 74.059539 107.238142 \nL 71.599513 99.357402 \nL 70.030635 92.053531 \nL 69.442075 85.563851 \nL 69.890662 80.092432 \nL 71.395089 75.79227 \nL 73.933181 72.752878 \nL 77.442775 70.995385 \nL 81.826134 70.475728 \nL 86.95722 71.094912 \nL 92.690834 72.713907 \nL 98.872352 75.170388 \nL 105.346986 78.29479 \nL 111.967674 81.923478 \nL 118.601096 85.908244 \nL 125.13162 90.121895 \nL 131.463358 94.46042 \nL 137.520556 98.842514 \nL 143.246758 103.207498 \nL 148.603117 107.512278 \nL 153.566215 111.727981 \nL 158.125653 115.836775 \nL 162.281644 119.829018 \nL 166.04274 123.700861 \nL 169.423786 127.452389 \nL 172.444131 131.086188 \nL 175.126112 134.606276 \nL 177.493814 138.017403 \nL 179.572068 141.324538 \nL 181.385662 144.532582 \nL 182.958755 147.646154 \nL 184.314437 150.669538 \nL 185.474426 153.606648 \nL 186.458871 156.460999 \nL 187.286241 159.235784 \nL 188.535001 164.557808 \nL 189.334224 169.592529 \nL 189.771659 174.356352 \nL 189.911956 178.863093 \nL 189.799629 183.124427 \nL 189.461832 187.15002 \nL 188.910662 190.947456 \nL 188.144855 194.521858 \nL 187.150847 197.875217 \nL 185.903177 201.005348 \nL 184.364277 203.904314 \nL 183.470383 205.262502 \nL 182.483686 206.556091 \nL 181.395648 207.781258 \nL 180.196739 208.933167 \nL 178.876373 210.005766 \nL 177.422848 210.991559 \nL 175.823285 211.881303 \nL 174.063567 212.663667 \nL 172.128308 213.324848 \nL 170.000816 213.848077 \nL 167.663112 214.213085 \nL 165.095976 214.395456 \nL 162.279073 214.365934 \nL 159.191156 214.089631 \nL 155.81041 213.525222 \nL 152.114942 212.624083 \nL 148.083494 211.329534 \nL 143.696439 209.57625 \nL 138.937122 207.290008 \nL 133.793607 204.38803 \nL 128.260967 200.780215 \nL 122.344096 196.371724 \nL 116.061136 191.067356 \nL 109.447461 184.778293 \nL 102.560055 177.431647 \nL 95.481988 168.983044 \nL 88.326506 159.432017 \nL 81.239871 148.839081 \nL 74.402017 137.342337 \nL 68.023871 125.170233 \nL 62.340262 112.645983 \nL 57.597691 100.179269 \nL 54.037244 88.24194 \nL 51.873888 77.327775 \nL 51.274702 67.900719 \nL 52.33953 60.340506 \nL 55.087799 54.897171 \nL 59.454062 51.66452 \nL 65.293596 50.578653 \nL 72.396817 51.440195 \nL 80.509783 53.953564 \nL 89.357142 57.773155 \nL 98.663855 62.546555 \nL 108.173081 67.948107 \nL 117.658807 73.700113 \nL 126.933047 79.582029 \nL 135.848273 85.430503 \nL 144.296214 91.133239 \nL 152.204247 96.62003 \nL 159.530477 101.853006 \nL 166.258337 106.817632 \nL 172.391291 111.515028 \nL 177.948007 115.956044 \nL 182.95817 120.156813 \nL 187.458966 124.13565 \nL 191.49226 127.911034 \nL 195.102368 131.500362 \nL 198.334369 134.919231 \nL 201.232844 138.181172 \nL 206.200043 144.277684 \nL 210.323789 149.856867 \nL 220.239988 163.765431 \nL 223.412455 167.444661 \nL 225.066676 169.087436 \nL 226.789164 170.589499 \nL 228.595861 171.941854 \nL 230.501825 173.13385 \nL 232.521306 174.153023 \nL 234.667755 174.984923 \nL 236.953793 175.61298 \nL 239.391122 176.018356 \nL 241.990348 176.179845 \nL 244.760738 176.073839 \nL 247.709874 175.674344 \nL 250.843201 174.95321 \nL 254.163472 173.880445 \nL 257.670054 172.424867 \nL 261.35813 170.554984 \nL 265.217771 168.240307 \nL 269.232921 165.453105 \nL 273.380306 162.170633 \nL 277.628376 158.377891 \nL 281.936328 154.070851 \nL 286.253318 149.260019 \nL 290.518105 143.974106 \nL 294.659193 138.26338 \nL 298.595694 132.202276 \nL 302.239136 125.890616 \nL 305.496204 119.452856 \nL 308.272541 113.034819 \nL 310.477415 106.7977 \nL 312.028982 100.909495 \nL 312.859722 95.53443 \nL 312.921448 90.821567 \nL 312.189393 86.894051 \nL 310.664676 83.840332 \nL 308.374979 81.708843 \nL 305.373163 80.506691 \nL 301.734033 80.202296 \nL 297.549682 80.73151 \nL 292.923888 82.005904 \nL 287.966276 83.921979 \nL 282.786716 86.370024 \nL 277.490519 89.241713 \nL 272.174591 92.435868 \nL 266.924769 95.862272 \nL 261.814237 99.443666 \nL 256.902942 103.116218 \nL 252.237786 106.828928 \nL 247.853439 110.542331 \nL 243.773534 114.226872 \nL 240.012076 117.861127 \nL 236.574954 121.430152 \nL 233.461444 124.92398 \nL 230.665606 128.336342 \nL 228.177575 131.663637 \nL 225.98468 134.904088 \nL 224.072418 138.057153 \nL 222.42527 141.123023 \nL 221.027353 144.102296 \nL 219.862966 146.995732 \nL 218.917001 149.804083 \nL 218.175262 152.527974 \nL 217.624695 155.167814 \nL 217.253562 157.723736 \nL 217.051536 160.195541 \nL 217.009773 162.582659 \nL 217.120942 164.884093 \nL 217.379231 167.098369 \nL 217.78033 169.223464 \nL 218.321401 171.256755 \nL 219.00105 173.194909 \nL 219.819274 175.033793 \nL 220.777421 176.768352 \nL 221.878132 178.392468 \nL 223.125283 179.898806 \nL 224.523923 181.278627 \nL 226.080197 182.521564 \nL 227.801254 183.615425 \nL 229.695135 184.545916 \nL 231.770632 185.296383 \nL 234.037109 185.847519 \nL 236.504268 186.177091 \nL 239.181847 186.259669 \nL 242.079245 186.066415 \nL 245.205032 185.564933 \nL 248.566344 184.719281 \nL 252.168121 183.490157 \nL 256.012192 181.835402 \nL 260.096159 179.710877 \nL 264.412116 177.071883 \nL 268.945148 173.875191 \nL 273.671717 170.081927 \nL 278.557932 165.661251 \nL 283.557886 160.594941 \nL 288.612141 154.88279 \nL 293.646666 148.548433 \nL 298.572498 141.645188 \nL 303.286391 134.260972 \nL 307.672845 126.521428 \nL 311.607682 118.589956 \nL 314.963368 110.663719 \nL 317.615833 102.964904 \nL 319.452433 95.727365 \nL 320.380342 89.179694 \nL 320.33433 83.526683 \nL 319.282976 78.931968 \nL 317.232281 75.504558 \nL 314.226201 73.291498 \nL 310.34383 72.277797 \nL 305.693729 72.393114 \nL 300.406159 73.52367 \nL 294.624202 75.527017 \nL 288.494986 78.247041 \nL 282.1617 81.527384 \nL 275.757238 85.221739 \nL 269.399612 89.20069 \nL 263.189186 93.355248 \nL 257.20758 97.597629 \nL 251.517855 101.860141 \nL 246.165711 106.092821 \nL 241.18126 110.260547 \nL 236.581177 114.340061 \nL 232.370934 118.317178 \nL 228.546984 122.184395 \nL 225.098801 125.938907 \nL 222.01068 129.581066 \nL 219.263304 133.1132 \nL 216.835052 136.538796 \nL 214.70307 139.861882 \nL 212.844135 143.086648 \nL 211.235317 146.217197 \nL 209.854482 149.257416 \nL 208.680656 152.210886 \nL 207.694281 155.080865 \nL 206.877369 157.8703 \nL 206.213594 160.581821 \nL 205.288614 165.780273 \nL 204.822251 170.692133 \nL 204.742722 175.329837 \nL 205.001261 179.702659 \nL 205.5697 183.816674 \nL 206.438327 187.674223 \nL 207.614287 191.273004 \nL 209.120608 194.604497 \nL 210.009098 196.165112 \nL 210.995866 197.651699 \nL 212.088207 199.060254 \nL 213.294445 200.385751 \nL 214.623966 201.621943 \nL 216.087243 202.761145 \nL 217.695875 203.793956 \nL 219.462597 204.708947 \nL 221.401293 205.492294 \nL 223.526982 206.127358 \nL 225.855766 206.594202 \nL 228.404737 206.869032 \nL 231.191818 206.923617 \nL 234.235507 206.724649 \nL 237.55451 206.233085 \nL 241.167214 205.403541 \nL 245.090963 204.183775 \nL 249.341091 202.514389 \nL 253.92963 200.328905 \nL 258.863672 197.554405 \nL 264.143308 194.113038 \nL 269.759121 189.924701 \nL 275.689231 184.91129 \nL 281.895937 179.002873 \nL 288.322162 172.146104 \nL 294.887948 164.314834 \nL 301.487466 155.522694 \nL 307.987196 145.836475 \nL 314.226078 135.388526 \nL 320.01843 124.385569 \nL 325.160456 113.110509 \nL 329.440693 101.914218 \nL 332.654143 91.195163 \nL 334.619019 81.36732 \nL 335.194087 72.819742 \nL 334.294016 65.874495 \nL 331.899979 60.751022 \nL 328.063513 57.544459 \nL 322.902679 56.22243 \nL 316.591223 56.639843 \nL 309.342654 58.567489 \nL 301.392008 61.727063 \nL 292.977959 65.825682 \nL 284.327541 70.584147 \nL 275.644708 75.756453 \nL 267.103182 81.139936 \nL 258.843181 86.577875 \nL 250.971382 91.956569 \nL 243.56311 97.199293 \nL 236.665938 102.258961 \nL 230.303941 107.110921 \nL 224.48209 111.746488 \nL 219.190416 116.16762 \nL 214.407751 120.382829 \nL 210.104935 124.404181 \nL 206.247487 128.245176 \nL 202.797757 131.919399 \nL 199.716613 135.439667 \nL 196.964721 138.817561 \nL 194.503492 142.063247 \nL 190.306147 148.19132 \nL 186.850718 153.877022 \nL 182.545239 161.646236 \nL 178.713283 168.544113 \nL 176.156426 172.653363 \nL 173.440926 176.347832 \nL 171.985718 178.028371 \nL 170.446294 179.58948 \nL 168.808605 181.023197 \nL 167.058773 182.319926 \nL 165.18302 183.468239 \nL 163.167629 184.454636 \nL 160.998942 185.263259 \nL 158.663421 185.875641 \nL 156.147756 186.270395 \nL 153.439067 186.422968 \nL 150.525173 186.305385 \nL 147.394994 185.886101 \nL 144.03907 185.129953 \nL 140.450217 183.998304 \nL 136.62439 182.449446 \nL 132.561692 180.439383 \nL 128.267614 177.923116 \nL 123.754448 174.856543 \nL 119.042893 171.199087 \nL 114.163724 166.917271 \nL 109.159523 161.989089 \nL 104.086237 156.409279 \nL 99.014366 150.19517 \nL 94.029533 143.392601 \nL 89.232068 136.081272 \nL 84.73534 128.37841 \nL 80.662539 120.439689 \nL 77.141717 112.45624 \nL 74.299233 104.647001 \nL 72.251922 97.246282 \nL 71.098657 90.487359 \nL 70.912236 84.58382 \nL 71.732653 79.711558 \nL 73.562742 75.993965 \nL 76.366917 73.492946 \nL 80.073238 72.207132 \nL 84.578518 72.077242 \nL 89.755807 72.997078 \nL 95.463171 74.828067 \nL 101.552689 77.41459 \nL 107.878731 80.598048 \nL 114.304775 84.228046 \nL 120.708471 88.170041 \nL 126.984793 92.309626 \nL 133.047497 96.55385 \nL 138.829177 100.830451 \nL 144.280258 105.0856 \nL 149.367278 109.281124 \nL 154.070808 113.391429 \nL 158.383172 117.400639 \nL 162.306239 121.300081 \nL 165.849318 125.086191 \nL 169.027295 128.758866 \nL 171.85901 132.320215 \nL 174.365873 135.773638 \nL 176.570738 139.123182 \nL 178.497001 142.373124 \nL 180.167886 145.527681 \nL 181.605912 148.590862 \nL 182.832496 151.566383 \nL 183.867681 154.457625 \nL 184.729961 157.267647 \nL 185.436175 159.999205 \nL 186.439288 165.236484 \nL 186.978086 170.186175 \nL 187.128128 174.861492 \nL 186.941748 179.272573 \nL 186.450548 183.426537 \nL 185.667636 187.327095 \nL 184.58935 190.973748 \nL 183.196352 194.360492 \nL 182.371631 195.952529 \nL 181.454078 197.473774 \nL 180.436966 198.920877 \nL 179.312564 200.289582 \nL 178.072109 201.574555 \nL 176.70577 202.769192 \nL 175.202615 203.865362 \nL 173.550583 204.85314 \nL 171.736457 205.720467 \nL 169.745863 206.452764 \nL 167.563288 207.032483 \nL 165.172132 207.438605 \nL 162.554823 207.646071 \nL 159.692987 207.625151 \nL 156.567739 207.340797 \nL 153.160073 206.751967 \nL 149.451455 205.811016 \nL 145.424596 204.463208 \nL 141.064524 202.646465 \nL 136.359961 200.291558 \nL 131.305096 197.32294 \nL 125.901794 193.660521 \nL 120.16227 189.222749 \nL 114.112221 183.931407 \nL 107.794303 177.718475 \nL 101.27183 170.535289 \nL 94.632259 162.364016 \nL 87.990013 153.230847 \nL 81.487936 143.21973 \nL 75.296516 132.484411 \nL 69.609968 121.255951 \nL 64.638601 109.842165 \nL 60.597021 98.615985 \nL 57.688827 87.991128 \nL 56.089066 78.386337 \nL 55.926795 70.182581 \nL 57.270416 63.68095 \nL 60.118653 59.0694 \nL 64.398858 56.405827 \nL 69.973131 55.620404 \nL 76.651208 56.535623 \nL 84.20775 58.898486 \nL 92.40116 62.417044 \nL 100.991276 66.794369 \nL 109.753861 71.754891 \nL 118.490938 77.061344 \nL 127.036798 82.522502 \nL 135.260149 87.993655 \nL 143.063357 93.372406 \nL 150.379611 98.59174 \nL 157.168983 103.612494 \nL 163.41396 108.416049 \nL 169.115011 112.998109 \nL 174.286468 117.363682 \nL 178.952881 121.523247 \nL 183.145946 125.490038 \nL 186.90196 129.278162 \nL 190.259799 132.901406 \nL 193.25936 136.372538 \nL 195.940374 139.702949 \nL 198.341556 142.9025 \nL 202.450875 148.940945 \nL 205.859267 154.538046 \nL 215.383914 170.961614 \nL 218.112815 174.740589 \nL 219.564179 176.462988 \nL 221.093345 178.066126 \nL 222.714687 179.542443 \nL 224.442298 180.88278 \nL 226.290086 182.076234 \nL 228.271813 183.109905 \nL 230.401115 183.968639 \nL 232.691455 184.634779 \nL 235.156033 185.087885 \nL 237.807605 185.304491 \nL 240.658234 185.257868 \nL 243.718924 184.91786 \nL 246.999142 184.250841 \nL 250.506193 183.21983 \nL 254.244435 181.78486 \nL 258.214321 179.903661 \nL 262.411237 177.532846 \nL 266.824175 174.629633 \nL 271.434231 171.154274 \nL 276.212986 167.073306 \nL 281.120882 162.363645 \nL 286.105682 157.017461 \nL 291.101265 151.047695 \nL 296.026998 144.493725 \nL 300.787933 137.426606 \nL 305.276166 129.952896 \nL 309.373694 122.216117 \nL 312.956802 114.39467 \nL 315.902069 106.695465 \nL 318.093666 99.34298 \nL 319.431377 92.564296 \nL 319.838479 86.571738 \nL 319.268596 81.545245 \nL 317.710419 77.617444 \nL 315.189662 74.863542 \nL 311.767846 73.297958 \nL 307.538066 72.877657 \nL 302.618358 73.511491 \nL 297.143486 75.073255 \nL 291.256301 77.416319 \nL 285.099559 80.387498 \nL 278.808927 83.838527 \nL 272.507645 87.634404 \nL 266.302972 91.658388 \nL 260.284313 95.814048 \nL 254.522791 100.025133 \nL 249.071933 104.233778 \nL 243.969125 108.398017 \nL 239.237527 112.488922 \nL 234.888225 116.487776 \nL 230.92238 120.383589 \nL 227.333299 124.170944 \nL 224.108311 127.848312 \nL 221.230416 131.41671 \nL 218.679698 134.878721 \nL 216.43449 138.237776 \nL 214.472329 141.497703 \nL 212.770705 144.662387 \nL 211.307637 147.735582 \nL 210.062108 150.720803 \nL 209.014369 153.621279 \nL 208.146143 156.439918 \nL 207.440758 159.179333 \nL 206.883206 161.84185 \nL 206.15995 166.944166 \nL 205.889426 171.760414 \nL 206.009552 176.30051 \nL 206.480935 180.570794 \nL 207.284667 184.573653 \nL 208.420489 188.306556 \nL 209.905501 191.760568 \nL 210.788865 193.377901 \nL 211.773486 194.918056 \nL 212.866178 196.37692 \nL 214.074807 197.749345 \nL 215.408324 199.028959 \nL 216.876766 200.207945 \nL 218.491284 201.276762 \nL 220.264151 202.223855 \nL 222.208749 203.035286 \nL 224.339545 203.694334 \nL 226.672033 204.18102 \nL 229.222607 204.471597 \nL 232.0084 204.537981 \nL 235.047002 204.347164 \nL 238.356074 203.860621 \nL 241.952821 203.033766 \nL 245.853236 201.81553 \nL 250.071134 200.148153 \nL 254.616874 197.967395 \nL 259.495742 195.203284 \nL 264.705931 191.78174 \nL 270.23613 187.627339 \nL 276.062692 182.667572 \nL 282.146464 176.838931 \nL 288.429473 170.095028 \nL 294.831729 162.416715 \nL 301.248628 153.823848 \nL 307.549466 144.387567 \nL 313.577916 134.24142 \nL 319.155177 123.588755 \nL 324.086433 112.70348 \nL 328.170931 101.921409 \nL 331.215394 91.620481 \nL 333.049672 82.190574 \nL 333.54279 73.996091 \nL 332.616955 67.337398 \nL 330.257127 62.418564 \nL 326.514317 59.328003 \nL 321.501826 58.035729 \nL 315.385138 58.407083 \nL 308.367093 60.228781 \nL 300.671008 63.240983 \nL 292.524005 67.168992 \nL 284.142733 71.749514 \nL 275.722551 76.748892 \nL 267.430662 81.973109 \nL 259.402849 87.270574 \nL 251.743215 92.529885 \nL 244.526085 97.674545 \nL 237.799234 102.656357 \nL 231.587828 107.448767 \nL 225.898523 112.040841 \nL 220.723387 116.432256 \nL 216.043463 120.629404 \nL 211.831848 124.642472 \nL 208.05627 128.483371 \nL 204.681184 132.164388 \nL 201.669422 135.69732 \nL 198.983467 139.092999 \nL 196.586389 142.36103 \nL 194.44252 145.509744 \nL 190.780567 151.476404 \nL 187.750493 157.036282 \nL 182.764537 167.034886 \nL 180.472231 171.493431 \nL 178.127967 175.586569 \nL 175.612087 179.295982 \nL 174.254913 180.997204 \nL 172.81361 182.588837 \nL 171.274844 184.063848 \nL 169.625265 185.413685 \nL 167.851415 186.628074 \nL 165.939676 187.694749 \nL 163.876252 188.599195 \nL 161.647184 189.324318 \nL 159.238428 189.850136 \nL 156.635993 190.153434 \nL 153.826162 190.207426 \nL 150.795817 189.981476 \nL 147.532872 189.44087 \nL 144.026867 188.546738 \nL 140.269709 187.25616 \nL 136.256642 185.522598 \nL 131.987414 183.296741 \nL 127.467675 180.527947 \nL 122.710626 177.166403 \nL 117.738848 173.166208 \nL 112.586286 168.489495 \nL 107.30023 163.111617 \nL 101.943122 157.027361 \nL 96.593949 150.257854 \nL 91.348827 142.857553 \nL 86.320475 134.92039 \nL 81.636066 126.583818 \nL 77.433252 118.029314 \nL 73.854145 109.478002 \nL 71.0374 101.180486 \nL 69.108932 93.40106 \nL 68.172099 86.397404 \nL 68.298597 80.398481 \nL 69.521276 75.583963 \nL 71.830103 72.068616 \nL 75.171911 69.894489 \nL 79.454083 69.032036 \nL 84.551586 69.389272 \nL 90.316355 70.826998 \nL 96.587734 73.176846 \nL 103.202595 76.259028 \nL 110.004239 79.897578 \nL 116.849312 83.931461 \nL 123.612517 88.221495 \nL 130.189176 92.653334 \nL 136.49599 97.137369 \nL 142.470336 101.606621 \nL 148.068587 106.013578 \nL 153.263844 110.326509 \nL 158.043386 114.525947 \nL 162.40609 118.601509 \nL 166.359977 122.54927 \nL 169.919998 126.36963 \nL 173.106097 130.065733 \nL 175.94157 133.642282 \nL 178.451712 137.10473 \nL 180.662734 140.458759 \nL 182.600909 143.709907 \nL 184.291932 146.8634 \nL 185.760443 149.924036 \nL 187.029706 152.896193 \nL 188.12139 155.783796 \nL 189.850094 161.319125 \nL 191.085163 166.554352 \nL 191.938097 171.509563 \nL 192.495824 176.201829 \nL 192.824034 180.646066 \nL 192.98665 186.876217 \nL 192.839626 192.618019 \nL 192.429596 197.906179 \nL 191.76003 202.770019 \nL 191.154582 205.788429 \nL 190.401418 208.633204 \nL 189.474882 211.306628 \nL 188.341258 213.807752 \nL 186.957549 216.13107 \nL 185.269825 218.26453 \nL 184.291608 219.253805 \nL 183.211127 220.186566 \nL 182.017565 221.057902 \nL 180.698954 221.86165 \nL 179.24208 222.590108 \nL 177.63239 223.233725 \nL 175.853899 223.780701 \nL 173.88911 224.216521 \nL 171.718949 224.523391 \nL 169.322737 224.679576 \nL 166.678201 224.658633 \nL 163.76156 224.428514 \nL 160.547713 223.950574 \nL 157.010548 223.178463 \nL 153.123464 222.056989 \nL 148.860138 220.520983 \nL 144.195607 218.494332 \nL 139.107818 215.889363 \nL 133.579676 212.606897 \nL 127.601779 208.537377 \nL 121.175867 203.563693 \nL 114.319139 197.566333 \nL 107.069335 190.431737 \nL 99.490462 182.06453 \nL 91.678777 172.404128 \nL 83.768308 161.445424 \nL 75.934858 149.262128 \nL 68.397002 136.029609 \nL 61.412533 122.042077 \nL 55.268623 107.717536 \nL 50.265007 93.583697 \nL 46.690385 80.240621 \nL 44.79448 68.301069 \nL 44.759431 58.316924 \nL 46.676178 50.706473 \nL 50.530481 45.699798 \nL 56.202196 43.316034 \nL 63.477879 43.377141 \nL 72.074275 45.552275 \nL 81.667658 49.419329 \nL 91.923648 54.527887 \nL 102.523047 60.451301 \nL 113.180887 66.821408 \nL 123.657928 73.345194 \nL 143.36365 86.061106 \nL 160.696373 97.636372 \nL 175.32992 107.814821 \nL 181.649058 112.401555 \nL 187.344452 116.684512 \nL 192.459539 120.690606 \nL 197.043286 124.446154 \nL 201.147455 127.975305 \nL 204.824555 131.299274 \nL 211.102786 137.400385 \nL 216.266667 142.855891 \nL 226.435133 153.991721 \nL 230.0847 157.457751 \nL 231.922058 158.965125 \nL 233.7949 160.313024 \nL 235.721088 161.49285 \nL 237.716654 162.494552 \nL 239.795878 163.306577 \nL 241.971305 163.915899 \nL 244.253709 164.308022 \nL 246.652017 164.46705 \nL 249.173136 164.375836 \nL 251.821737 164.016177 \nL 254.599959 163.369147 \nL 257.507034 162.415594 \nL 260.538857 161.136754 \nL 263.687502 159.515117 \nL 266.940672 157.535494 \nL 270.281172 155.18633 \nL 273.686352 152.461242 \nL 277.127668 149.360752 \nL 280.570359 145.894171 \nL 283.973292 142.081421 \nL 287.289172 137.954795 \nL 290.465022 133.560255 \nL 293.44319 128.958158 \nL 296.162797 124.223054 \nL 298.561698 119.442434 \nL 300.578916 114.71418 \nL 302.157416 110.142789 \nL 303.247087 105.834503 \nL 303.807652 101.891701 \nL 303.811282 98.407107 \nL 303.24465 95.458407 \nL 302.110161 93.103866 \nL 300.426268 91.37953 \nL 298.226719 90.298242 \nL 295.558952 89.850466 \nL 292.481631 90.006863 \nL 289.061708 90.721983 \nL 285.371215 91.938728 \nL 281.484045 93.592931 \nL 277.473035 95.617616 \nL 273.407461 97.946638 \nL 269.351064 100.517467 \nL 265.360674 103.27309 \nL 261.485373 106.163125 \nL 257.766178 109.144203 \nL 254.236133 112.17989 \nL 250.920711 115.240174 \nL 247.83845 118.300771 \nL 245.001753 121.34232 \nL 242.417727 124.349572 \nL 240.089059 127.310585 \nL 238.014864 130.216049 \nL 236.191484 133.058658 \nL 234.61319 135.832588 \nL 233.272824 138.533098 \nL 232.162362 141.156151 \nL 231.273353 143.698136 \nL 230.597324 146.155653 \nL 230.126082 148.525309 \nL 229.851969 150.803571 \nL 229.768035 152.986609 \nL 229.868187 155.070206 \nL 230.147272 157.04962 \nL 230.601135 158.919485 \nL 231.226641 160.673681 \nL 232.021657 162.305236 \nL 232.985022 163.806197 \nL 234.116483 165.167501 \nL 235.416594 166.378879 \nL 236.88661 167.4287 \nL 238.52833 168.303855 \nL 240.343911 168.989666 \nL 242.335645 169.469782 \nL 244.505692 169.726153 \nL 246.855753 169.739026 \nL 249.386684 169.487045 \nL 252.098036 168.947418 \nL 254.987549 168.096308 \nL 258.050531 166.909309 \nL 261.279193 165.362233 \nL 264.661894 163.432107 \nL 268.182349 161.098533 \nL 271.81882 158.345333 \nL 275.543316 155.162569 \nL 279.320895 151.548816 \nL 283.109117 147.51367 \nL 286.857813 143.080263 \nL 290.509183 138.287625 \nL 293.998454 133.192472 \nL 297.255102 127.870106 \nL 300.204789 122.414126 \nL 302.77197 116.934451 \nL 304.883123 111.5536 \nL 306.47048 106.401245 \nL 307.475912 101.607248 \nL 307.854673 97.293956 \nL 307.578671 93.568382 \nL 306.638752 90.515385 \nL 305.045896 88.192595 \nL 302.830972 86.627772 \nL 300.043218 85.818901 \nL 296.747455 85.73676 \nL 293.020515 86.329514 \nL 288.947087 87.528531 \nL 284.615479 89.254729 \nL 280.113664 91.424581 \nL 275.525857 93.955242 \nL 270.929762 96.768541 \nL 266.394643 99.793683 \nL 261.980171 102.96878 \nL 257.735912 106.241409 \nL 253.701435 109.568361 \nL 249.906821 112.914904 \nL 246.373496 116.253789 \nL 243.115248 119.564068 \nL 240.139327 122.82998 \nL 237.447566 126.039868 \nL 235.037462 129.185257 \nL 232.903159 132.260048 \nL 231.036355 135.25988 \nL 229.427078 138.1816 \nL 228.06436 141.02284 \nL 226.936797 143.781731 \nL 226.033011 146.456628 \nL 225.342016 149.045916 \nL 224.853503 151.547895 \nL 224.558067 153.960617 \nL 224.447358 156.281801 \nL 224.5142 158.508741 \nL 224.752656 160.638197 \nL 225.15806 162.666321 \nL 225.727033 164.588552 \nL 226.457466 166.399485 \nL 227.348484 168.092774 \nL 228.400389 169.661008 \nL 229.614594 171.095532 \nL 230.993527 172.386324 \nL 232.540518 173.521821 \nL 234.25967 174.488732 \nL 236.155674 175.271875 \nL 238.233614 175.854007 \nL 240.498704 176.215671 \nL 242.955985 176.335102 \nL 245.609936 176.188177 \nL 248.464026 175.748457 \nL 251.520152 174.987383 \nL 254.777985 173.874659 \nL 258.234208 172.378838 \nL 261.881638 170.468311 \nL 265.708239 168.112573 \nL 269.696036 165.284053 \nL 273.82002 161.960359 \nL 278.047017 158.12706 \nL 282.334721 153.780953 \nL 286.63091 148.933611 \nL 290.873078 143.615055 \nL 294.988592 137.877052 \nL 298.895641 131.795655 \nL 302.505055 125.472291 \nL 305.723139 119.032849 \nL 308.455489 112.624237 \nL 310.611716 106.408199 \nL 312.110735 100.5526 \nL 312.886136 95.220743 \nL 312.89119 90.560076 \nL 312.102776 86.691406 \nL 310.523774 83.700485 \nL 308.183561 81.632858 \nL 305.136506 80.492839 \nL 301.45864 80.246473 \nL 297.242895 80.827769 \nL 292.593502 82.147119 \nL 287.620126 84.100455 \nL 282.432352 86.578065 \nL 277.134904 89.472062 \nL 271.823923 92.682026 \nL 266.584349 96.118652 \nL 261.488411 99.705651 \nL 256.595117 103.380103 \nL 251.95049 107.091863 \nL 247.588401 110.802198 \nL 243.531782 114.48214 \nL 239.794046 118.110762 \nL 236.38061 121.673478 \nL 233.290365 125.160599 \nL 230.517094 128.566035 \nL 228.050729 131.886318 \nL 225.878474 135.119767 \nL 223.985756 138.265878 \nL 222.357033 141.324861 \nL 220.976445 144.297322 \nL 219.828339 147.184013 \nL 218.89768 149.985675 \nL 218.170362 152.702896 \nL 217.633435 155.336067 \nL 217.275266 157.885282 \nL 217.085645 160.350304 \nL 217.055843 162.730525 \nL 217.17865 165.024909 \nL 217.448363 167.231917 \nL 217.860788 169.349487 \nL 218.413198 171.374922 \nL 219.104305 173.30482 \nL 219.934211 175.134964 \nL 220.904362 176.860212 \nL 222.017493 178.474333 \nL 223.277573 179.96987 \nL 224.689732 181.337929 \nL 226.26019 182.568003 \nL 227.99616 183.647708 \nL 229.905738 184.562552 \nL 231.997753 185.295651 \nL 234.281585 185.82745 \nL 236.766927 186.135441 \nL 239.463475 186.193907 \nL 242.380542 185.97371 \nL 245.526562 185.442158 \nL 248.908468 184.563027 \nL 252.530921 183.296775 \nL 256.395373 181.601078 \nL 260.498943 179.431753 \nL 264.8331 176.74423 \nL 269.382187 173.495666 \nL 274.121745 169.647859 \nL 279.016849 165.171045 \nL 284.0204 160.04855 \nL 289.071684 154.282217 \nL 294.095352 147.898268 \nL 299.001157 140.95304 \nL 303.684743 133.537805 \nL 308.029777 125.781626 \nL 311.911728 117.851047 \nL 315.203285 109.945673 \nL 317.781306 102.289011 \nL 319.534852 95.114737 \nL 320.373527 88.649587 \nL 320.235126 83.094849 \nL 319.091657 78.609294 \nL 316.952657 75.296231 \nL 313.865409 73.196835 \nL 309.911862 72.290756 \nL 305.202735 72.5033 \nL 299.869604 73.717727 \nL 294.056064 75.790028 \nL 287.908937 78.563901 \nL 281.570498 81.883823 \nL 275.172259 85.605045 \nL 268.830552 89.600128 \nL 262.643943 93.762135 \nL 256.692246 98.005294 \nL 251.036841 102.263683 \nL 245.721906 106.48883 \nL 240.776241 110.646808 \nL 236.215429 114.715263 \nL 232.044062 118.680686 \nL 228.257929 122.536036 \nL 224.846004 126.278815 \nL 221.792247 129.909564 \nL 219.077127 133.430725 \nL 216.678924 136.845823 \nL 214.574763 140.158886 \nL 212.74147 143.374085 \nL 211.156211 146.495494 \nL 209.796985 149.526954 \nL 208.642979 152.472006 \nL 207.674805 155.333863 \nL 206.87466 158.115431 \nL 206.226404 160.819295 \nL 205.329456 166.002964 \nL 204.888313 170.900507 \nL 204.832546 175.524103 \nL 205.114654 179.88276 \nL 205.707653 183.98221 \nL 206.602982 187.824383 \nL 207.808933 191.4064 \nL 209.349722 194.718973 \nL 210.257516 196.268995 \nL 211.265191 197.744015 \nL 212.380214 199.139825 \nL 213.611095 200.451157 \nL 214.967407 201.671479 \nL 216.45982 202.792772 \nL 218.100133 203.805238 \nL 219.90128 204.696986 \nL 221.877346 205.453642 \nL 224.043531 206.057934 \nL 226.416109 206.489175 \nL 229.012303 206.72272 \nL 231.850117 206.729375 \nL 234.948062 206.474734 \nL 238.324746 205.918548 \nL 241.998324 205.014135 \nL 245.985718 203.707896 \nL 250.301584 201.939097 \nL 254.956974 199.640039 \nL 259.957594 196.73687 \nL 265.301681 193.151305 \nL 270.977388 188.803607 \nL 276.959759 183.617193 \nL 283.207333 177.525236 \nL 289.658581 170.479521 \nL 296.228491 162.461481 \nL 302.805792 153.494932 \nL 309.251493 143.659393 \nL 315.399542 133.101895 \nL 321.06045 122.04451 \nL 326.028574 110.784299 \nL 330.093325 99.682679 \nL 333.053911 89.142662 \nL 334.736265 79.574751 \nL 335.010168 71.355852 \nL 333.803696 64.788097 \nL 331.112528 60.065734 \nL 327.002224 57.257184 \nL 321.602857 56.305673 \nL 315.097027 57.047204 \nL 307.703325 59.240864 \nL 299.658044 62.604147 \nL 291.197768 66.846242 \nL 282.544865 71.694582 \nL 273.896974 76.912319 \nL 265.420672 82.306727 \nL 257.248975 87.730568 \nL 249.481771 93.078348 \nL 242.188355 98.279972 \nL 235.411182 103.293402 \nL 229.170176 108.097583 \nL 223.467067 112.686208 \nL 218.289472 117.062707 \nL 213.614515 121.236361 \nL 209.411919 125.21954 \nL 205.64656 129.025754 \nL 202.280516 132.668379 \nL 199.274661 136.159936 \nL 196.589878 139.511685 \nL 194.187937 142.733449 \nL 190.087579 148.819111 \nL 186.703865 154.467895 \nL 182.467748 162.188627 \nL 178.670163 169.043002 \nL 176.121456 173.124644 \nL 173.404571 176.791714 \nL 171.94551 178.458372 \nL 170.400279 180.005316 \nL 168.754902 181.42443 \nL 166.995549 182.705954 \nL 165.108467 183.838278 \nL 163.079944 184.807673 \nL 160.896311 185.598037 \nL 158.544015 186.190601 \nL 156.009722 186.563646 \nL 153.280537 186.692245 \nL 150.344279 186.548004 \nL 147.189888 186.098912 \nL 143.807969 185.309308 \nL 140.191463 184.140037 \nL 136.336514 182.548878 \nL 132.243525 180.491351 \nL 127.918407 177.922071 \nL 123.374032 174.796671 \nL 118.63184 171.074584 \nL 113.723566 166.722634 \nL 108.692959 161.719579 \nL 103.597358 156.061485 \nL 98.508844 149.767658 \nL 93.514759 142.886615 \nL 88.717219 135.50143 \nL 84.231324 127.733261 \nL 80.181743 119.742031 \nL 76.697616 111.72305 \nL 73.905771 103.898876 \nL 71.922762 96.506366 \nL 70.846303 89.779763 \nL 70.747158 83.931822 \nL 71.662506 79.135696 \nL 73.59179 75.51041 \nL 76.495728 73.112376 \nL 80.298709 71.934298 \nL 84.89422 71.911155 \nL 90.152578 72.931905 \nL 95.929842 74.854288 \nL 102.076921 77.520369 \nL 108.447766 80.7705 \nL 114.906159 84.45431 \nL 121.330549 88.438106 \nL 127.617114 92.608834 \nL 133.681044 96.875137 \nL 139.456461 101.166369 \nL 144.89531 105.430268 \nL 149.965579 109.63001 \nL 154.649144 113.74116 \nL 158.939494 117.748784 \nL 162.839482 121.644929 \nL 166.359248 125.426612 \nL 169.514349 129.094138 \nL 172.32415 132.649919 \nL 174.810474 136.097566 \nL 176.99648 139.441277 \nL 178.905781 142.685433 \nL 180.561748 145.834318 \nL 181.986994 148.891989 \nL 183.202987 151.86219 \nL 184.229788 154.748339 \nL 185.085888 157.553507 \nL 185.78811 160.280466 \nL 186.789719 165.509424 \nL 187.335526 170.452122 \nL 187.501043 175.122052 \nL 187.338759 179.529779 \nL 186.880691 183.68296 \nL 186.140662 187.586064 \nL 185.116056 191.239666 \nL 183.788942 194.639222 \nL 182.126542 197.773253 \nL 181.155277 199.234569 \nL 180.081065 200.620636 \nL 178.895472 201.926666 \nL 177.589017 203.146698 \nL 176.151132 204.27336 \nL 174.570129 205.297615 \nL 172.833167 206.20845 \nL 170.926234 206.99251 \nL 168.834149 207.633673 \nL 166.540597 208.112564 \nL 164.028201 208.406005 \nL 161.278663 208.486407 \nL 158.272988 208.321104 \nL 154.991828 207.871674 \nL 151.415964 207.093267 \nL 147.526987 205.93401 \nL 143.308229 204.334609 \nL 138.746001 202.228278 \nL 133.831178 199.541201 \nL 128.561231 196.193799 \nL 122.942706 192.103155 \nL 116.994207 187.186973 \nL 110.749785 181.36948 \nL 104.262666 174.589627 \nL 97.608978 166.81173 \nL 90.891062 158.03823 \nL 84.239802 148.323785 \nL 77.81505 137.788821 \nL 71.803335 126.630028 \nL 66.411944 115.12424 \nL 61.858898 103.622318 \nL 58.358893 92.530417 \nL 56.106137 82.278397 \nL 55.256079 73.278444 \nL 55.90867 65.880272 \nL 58.096126 60.331595 \nL 61.777532 56.752367 \nL 66.841533 55.128051 \nL 73.116624 55.322564 \nL 80.387203 57.106772 \nL 88.412548 60.195149 \nL 96.945736 64.282634 \nL 105.750153 69.075662 \nL 114.611974 74.313825 \nL 123.348203 79.781653 \nL 131.81047 85.312032 \nL 139.885375 90.783508 \nL 147.492358 96.114035 \nL 154.580043 101.253336 \nL 161.121806 106.175114 \nL 167.111173 110.870164 \nL 172.557459 115.340698 \nL 177.481817 119.595895 \nL 181.913872 123.648712 \nL 185.888898 127.51362 \nL 189.445561 131.205115 \nL 192.624141 134.736851 \nL 195.465186 138.12112 \nL 198.008517 141.368667 \nL 202.35374 147.488608 \nL 205.942844 153.151946 \nL 210.439882 160.861477 \nL 214.472992 167.663618 \nL 217.178584 171.683593 \nL 218.58924 173.530514 \nL 220.05975 175.26245 \nL 221.605257 176.87319 \nL 223.240423 178.355121 \nL 224.979546 179.699087 \nL 226.836654 180.894161 \nL 228.82555 181.927433 \nL 230.959829 182.783792 \nL 233.252831 183.445652 \nL 235.717541 183.892702 \nL 238.366429 184.101684 \nL 241.211173 184.046172 \nL 244.262306 183.696455 \nL 247.528741 183.019513 \nL 251.01714 181.979178 \nL 254.731141 180.536526 \nL 258.670415 178.650634 \nL 262.829529 176.279761 \nL 267.196664 173.383114 \nL 271.752139 169.923269 \nL 276.466888 165.869378 \nL 281.300899 161.201176 \nL 286.201823 155.913706 \nL 291.10385 150.022575 \nL 295.927219 143.569319 \nL 300.578538 136.626229 \nL 304.952258 129.299785 \nL 308.933503 121.731706 \nL 312.402468 114.096592 \nL 315.240243 106.59552 \nL 317.335864 99.4453 \nL 318.593937 92.864131 \nL 318.942161 87.055027 \nL 318.337665 82.189282 \nL 316.77143 78.392493 \nL 314.269967 75.735305 \nL 310.894048 74.230373 \nL 306.734572 73.835799 \nL 301.906174 74.463894 \nL 296.539427 75.99368 \nL 290.772591 78.284625 \nL 284.74382 81.189756 \nL 278.584494 84.566529 \nL 272.414104 88.284845 \nL 266.336844 92.23176 \nL 260.43979 96.313583 \nL 254.792443 100.455828 \nL 249.447352 104.601579 \nL 244.441476 108.709224 \nL 239.797993 112.749719 \nL 235.528345 116.70396 \nL 231.634314 120.560402 \nL 228.10999 124.313005 \nL 224.9436 127.959582 \nL 222.119096 131.500523 \nL 219.617526 134.937833 \nL 217.41819 138.274419 \nL 215.499555 141.513654 \nL 213.840008 144.659005 \nL 212.418419 147.713864 \nL 211.214575 150.681423 \nL 210.209488 153.564608 \nL 209.385606 156.366061 \nL 208.726945 159.088128 \nL 208.219159 161.73288 \nL 207.849566 164.302103 \nL 207.482442 169.219834 \nL 207.556391 173.850556 \nL 208.026252 178.199342 \nL 208.868885 182.266643 \nL 210.081343 186.047186 \nL 210.830503 187.826298 \nL 211.679478 189.528222 \nL 212.633048 191.149763 \nL 213.697091 192.686864 \nL 214.878579 194.134457 \nL 216.185588 195.486279 \nL 217.627292 196.734661 \nL 219.213978 197.870281 \nL 220.957025 198.881878 \nL 222.868897 199.755902 \nL 224.963094 200.476157 \nL 227.254075 201.023351 \nL 229.757143 201.374636 \nL 232.488258 201.503092 \nL 235.463763 201.377192 \nL 238.700009 200.960282 \nL 242.21283 200.210106 \nL 246.016828 199.078461 \nL 250.124452 197.511068 \nL 254.544797 195.447802 \nL 259.282092 192.823467 \nL 264.333833 189.56934 \nL 269.688546 185.615774 \nL 275.323204 180.896119 \nL 281.200355 175.352287 \nL 287.265096 168.942107 \nL 293.442218 161.648449 \nL 299.633844 153.489735 \nL 305.718127 144.530967 \nL 311.549643 134.893675 \nL 316.962181 124.762738 \nL 321.774429 114.387392 \nL 325.798963 104.074113 \nL 328.85415 94.169838 \nL 330.778207 85.035758 \nL 331.443786 77.014392 \nL 330.770996 70.394917 \nL 328.736773 65.383131 \nL 325.378773 62.081829 \nL 320.793074 60.485693 \nL 315.125944 60.490747 \nL 308.561129 61.915647 \nL 301.304732 64.529608 \nL 293.569869 68.081171 \nL 285.563028 72.32319 \nL 277.473373 77.031189 \nL 269.46552 82.01436 \nL 261.675622 87.119896 \nL 254.210411 92.232311 \nL 247.14835 97.269463 \nL 240.542235 102.17701 \nL 234.42264 106.922412 \nL 228.801628 111.489358 \nL 223.676429 115.872915 \nL 219.032839 120.075697 \nL 214.848224 124.104878 \nL 211.094073 127.97007 \nL 207.738102 131.68184 \nL 204.745943 135.25075 \nL 202.082465 138.686787 \nL 199.712766 141.999024 \nL 197.602905 145.195516 \nL 195.720404 148.283246 \nL 192.516686 154.155472 \nL 189.880099 159.653093 \nL 186.582155 167.250348 \nL 183.618909 174.107193 \nL 181.621625 178.271593 \nL 179.482222 182.101102 \nL 177.102194 185.575663 \nL 175.791814 187.169834 \nL 174.384975 188.661123 \nL 172.869222 190.042293 \nL 171.231747 191.304536 \nL 169.459319 192.43723 \nL 167.538238 193.427636 \nL 165.454326 194.26059 \nL 163.192947 194.918132 \nL 160.739089 195.379109 \nL 158.077512 195.618759 \nL 155.192971 195.608289 \nL 152.070559 195.314468 \nL 148.696163 194.699298 \nL 145.057099 193.719785 \nL 141.142926 192.327936 \nL 136.946499 190.471083 \nL 132.465283 188.092662 \nL 127.702949 185.133658 \nL 122.671264 181.534931 \nL 117.392262 177.240601 \nL 111.900622 172.202746 \nL 106.246119 166.387477 \nL 100.49591 159.782404 \nL 94.736434 152.405075 \nL 89.074374 144.31181 \nL 83.636286 135.605603 \nL 78.566342 126.441681 \nL 74.021717 117.02861 \nL 70.165488 107.623243 \nL 67.15707 98.518301 \nL 65.140881 90.022482 \nL 64.234389 82.435003 \nL 64.517034 76.01783 \nL 66.021757 70.970304 \nL 68.730541 67.410836 \nL 72.574777 65.368937 \nL 77.440569 64.788819 \nL 83.178003 65.5431 \nL 89.613035 67.453398 \nL 96.560217 70.31327 \nL 103.834706 73.909865 \nL 111.262288 78.041299 \nL 118.686825 82.528544 \nL 125.974904 87.221779 \nL 133.017959 92.002191 \nL 139.732299 96.780341 \nL 146.057629 101.492577 \nL 151.954605 106.096479 \nL 157.401878 110.566253 \nL 162.392978 114.888476 \nL 166.933294 119.058472 \nL 171.037319 123.077401 \nL 174.726206 126.950061 \nL 178.025704 130.683264 \nL 180.964444 134.284713 \nL 183.572568 137.762296 \nL 185.880654 141.123593 \nL 187.918897 144.375625 \nL 189.716516 147.524766 \nL 191.301334 150.57669 \nL 193.935395 156.40831 \nL 196.008279 161.903698 \nL 197.677704 167.08846 \nL 199.704521 174.325637 \nL 202.614459 185.060614 \nL 203.834879 188.915218 \nL 205.183485 192.52357 \nL 206.72143 195.882392 \nL 208.512524 198.981637 \nL 209.524489 200.428313 \nL 210.626548 201.801906 \nL 211.828872 203.097918 \nL 213.142389 204.310711 \nL 214.578865 205.433287 \nL 216.15099 206.457039 \nL 217.872446 207.371436 \nL 219.757962 208.163667 \nL 221.823338 208.81823 \nL 224.085463 209.31644 \nL 226.562252 209.635889 \nL 229.272557 209.749819 \nL 232.235974 209.62646 \nL 235.47255 209.228309 \nL 239.002348 208.511422 \nL 242.844801 207.424762 \nL 247.017864 205.909707 \nL 251.536837 203.899825 \nL 256.41284 201.321158 \nL 261.650863 198.093267 \nL 267.247319 194.131336 \nL 273.187127 189.349789 \nL 279.440265 183.667835 \nL 285.95803 177.017312 \nL 292.669073 169.353088 \nL 299.475813 160.665853 \nL 306.25166 150.996611 \nL 312.839959 140.451206 \nL 319.055579 129.212371 \nL 324.690039 117.545854 \nL 329.520874 105.796796 \nL 333.325337 94.373395 \nL 335.897613 83.71675 \nL 337.067818 74.259444 \nL 336.719948 66.378781 \nL 334.805852 60.353579 \nL 331.352419 56.333795 \nL 326.460517 54.329365 \nL 320.295659 54.220167 \nL 313.072261 55.783318 \nL 305.034233 58.730651 \nL 296.435104 62.747775 \nL 287.520339 67.527844 \nL 278.513639 72.795801 \nL 269.607879 78.322247 \nL 260.960552 83.928059 \nL 252.692966 89.482285 \nL 244.892146 94.89596 \nL 237.614492 100.114153 \nL 230.890291 105.107774 \nL 224.728505 109.86622 \nL 219.121325 114.391268 \nL 214.048313 118.692324 \nL 209.479964 122.782915 \nL 205.38067 126.678272 \nL 201.71112 130.393708 \nL 198.430168 133.943656 \nL 195.496275 137.341112 \nL 192.868554 140.597419 \nL 188.375575 146.72343 \nL 184.65972 152.379567 \nL 174.409478 168.827864 \nL 171.518751 172.559622 \nL 169.98827 174.24742 \nL 168.380238 175.807787 \nL 166.679777 177.232393 \nL 164.872459 178.511281 \nL 162.944225 179.632641 \nL 160.881354 180.582631 \nL 158.67048 181.345111 \nL 156.298643 181.901445 \nL 153.753443 182.23027 \nL 151.023238 182.3073 \nL 148.097462 182.105197 \nL 144.96702 181.593534 \nL 141.624846 180.738905 \nL 138.066568 179.50522 \nL 134.291359 177.854332 \nL 130.30292 175.747032 \nL 126.110654 173.144481 \nL 121.730975 170.010321 \nL 117.188695 166.313392 \nL 112.518502 162.031195 \nL 107.766292 157.15405 \nL 102.990302 151.689842 \nL 98.261799 145.668934 \nL 93.665028 139.148881 \nL 89.296288 132.218123 \nL 85.261738 124.997894 \nL 81.673889 117.641305 \nL 78.646679 110.328979 \nL 76.289354 103.260786 \nL 74.699503 96.643895 \nL 73.955965 90.678204 \nL 74.112367 85.540917 \nL 75.192127 81.37226 \nL 77.185705 78.264788 \nL 80.050462 76.257793 \nL 83.713298 75.33752 \nL 88.075609 75.442976 \nL 93.019994 76.47581 \nL 98.417806 78.312575 \nL 104.136727 80.817262 \nL 110.047577 83.852569 \nL 116.029874 87.288701 \nL 121.975912 91.009448 \nL 127.793271 94.915531 \nL 133.40596 98.925586 \nL 138.754384 102.975554 \nL 143.794474 107.016933 \nL 148.496213 111.014457 \nL 152.841844 114.943674 \nL 156.823937 118.788583 \nL 160.443476 122.539551 \nL 163.708055 126.191562 \nL 166.630244 129.742831 \nL 169.226166 133.193698 \nL 171.514275 136.545836 \nL 173.514353 139.801678 \nL 175.246691 142.964006 \nL 176.731443 146.035671 \nL 177.98813 149.019457 \nL 179.035263 151.917938 \nL 179.89009 154.733452 \nL 180.568403 157.468069 \nL 181.084439 160.123575 \nL 181.450815 162.701463 \nL 181.678516 165.202948 \nL 181.776901 167.628951 \nL 181.753741 169.98011 \nL 181.615264 172.256728 \nL 181.366204 174.458805 \nL 181.009862 176.585952 \nL 180.548153 178.63738 \nL 179.981664 180.611845 \nL 179.30969 182.507561 \nL 178.530286 184.322142 \nL 177.640285 186.052487 \nL 176.635335 187.694668 \nL 175.509917 189.243783 \nL 174.257354 190.693788 \nL 172.869842 192.037317 \nL 171.338455 193.265443 \nL 169.653181 194.367413 \nL 167.802951 195.330353 \nL 165.775701 196.138934 \nL 163.558464 196.774976 \nL 161.137495 197.217043 \nL 158.498459 197.43999 \nL 155.626709 197.414524 \nL 152.507638 197.106738 \nL 149.12718 196.477744 \nL 145.472465 195.483391 \nL 141.532672 194.074209 \nL 137.300123 192.195661 \nL 132.771622 189.788892 \nL 127.950146 186.792123 \nL 122.846796 183.142972 \nL 117.483094 178.781902 \nL 111.893469 173.657032 \nL 106.12791 167.730473 \nL 100.25443 160.986143 \nL 94.361171 153.438746 \nL 88.557558 145.143244 \nL 82.974065 136.203506 \nL 77.760025 126.778521 \nL 73.078925 117.083988 \nL 69.101005 107.387375 \nL 65.99322 97.99492 \nL 63.907221 89.230674 \nL 62.966644 81.409198 \nL 63.255265 74.805798 \nL 64.807918 69.629292 \nL 67.605723 66.002277 \nL 71.576531 63.952796 \nL 76.600611 63.418508 \nL 82.520622 64.261771 \nL 89.154324 66.291927 \nL 96.30811 69.290068 \nL 103.789689 73.032078 \nL 111.418575 77.306912 \nL 119.033789 81.928836 \nL 126.498552 86.743791 \nL 133.702293 91.630722 \nL 140.560511 96.499583 \nL 147.013044 101.287234 \nL 153.021384 105.952509 \nL 158.565515 110.471192 \nL 163.640602 114.831558 \nL 168.253833 119.030588 \nL 172.421549 123.07095 \nL 176.166726 126.958754 \nL 179.516857 130.701932 \nL 182.502211 134.309111 \nL 185.154447 137.788897 \nL 187.505531 141.149444 \nL 189.586929 144.398207 \nL 191.429019 147.541886 \nL 193.060685 150.586371 \nL 195.799428 156.397679 \nL 197.997497 161.865668 \nL 199.819208 167.015372 \nL 205.775026 184.727162 \nL 207.395013 188.464592 \nL 209.223194 191.918984 \nL 211.335306 195.073165 \nL 212.522805 196.529047 \nL 213.812195 197.897595 \nL 215.214929 199.172393 \nL 216.743181 200.345559 \nL 218.40991 201.40746 \nL 220.228917 202.346416 \nL 222.214889 203.148332 \nL 224.383393 203.796288 \nL 226.750849 204.270058 \nL 229.334439 204.54561 \nL 232.151941 204.594514 \nL 235.22148 204.38337 \nL 238.561136 203.873204 \nL 242.188412 203.018926 \nL 246.119488 201.76893 \nL 250.368233 200.064901 \nL 254.944915 197.842055 \nL 259.854555 195.029953 \nL 265.094887 191.55418 \nL 270.653916 187.339227 \nL 276.507031 182.312877 \nL 282.613859 176.412436 \nL 288.91492 169.593032 \nL 295.328444 161.837917 \nL 301.747812 153.170291 \nL 308.04023 143.665664 \nL 314.047353 133.46278 \nL 319.58866 122.770669 \nL 324.468199 111.868778 \nL 328.48497 101.097509 \nL 331.44656 90.837603 \nL 333.184961 81.479084 \nL 333.572562 73.383443 \nL 332.535951 66.845273 \nL 330.065084 62.060624 \nL 326.216057 59.10877 \nL 321.106817 57.950833 \nL 314.906564 58.444686 \nL 307.820686 60.371744 \nL 300.073723 63.469393 \nL 291.892816 67.462424 \nL 283.493608 72.088795 \nL 275.069739 77.117339 \nL 266.786237 82.357023 \nL 258.77654 87.659352 \nL 251.142432 92.915794 \nL 243.956075 98.052265 \nL 237.263342 103.022534 \nL 231.087783 107.80151 \nL 225.434733 112.379315 \nL 220.29522 116.756345 \nL 215.6495 120.939443 \nL 211.4701 124.939039 \nL 207.724357 128.767179 \nL 204.37648 132.436168 \nL 201.389174 135.957776 \nL 198.72488 139.342757 \nL 196.346695 142.600641 \nL 194.219022 145.739684 \nL 190.581803 151.688046 \nL 187.567103 157.230471 \nL 179.124618 173.717987 \nL 176.692452 177.601373 \nL 175.395547 179.39491 \nL 174.026438 181.083724 \nL 172.571687 182.661924 \nL 171.01794 184.122281 \nL 169.351821 185.456024 \nL 167.559843 186.652628 \nL 165.628364 187.699556 \nL 163.543569 188.581965 \nL 161.291495 189.282416 \nL 158.858115 189.780526 \nL 156.229492 190.052649 \nL 153.392001 190.071535 \nL 150.332673 189.806064 \nL 147.039655 189.221029 \nL 143.502807 188.277086 \nL 139.714486 186.930906 \nL 135.670531 185.135649 \nL 131.37146 182.841887 \nL 126.823901 179.999131 \nL 122.042248 176.558116 \nL 117.050533 172.473994 \nL 111.88439 167.710589 \nL 106.593017 162.245725 \nL 101.240946 156.077532 \nL 95.909322 149.231356 \nL 90.696368 141.766671 \nL 85.716622 133.782984 \nL 81.098598 125.423439 \nL 76.980533 116.874731 \nL 73.50411 108.361953 \nL 70.806357 100.137733 \nL 69.010272 92.465776 \nL 68.215091 85.600238 \nL 68.487373 79.763792 \nL 69.854256 75.127522 \nL 72.299894 71.796427 \nL 75.765747 69.802752 \nL 80.154736 69.10821 \nL 85.338609 69.614111 \nL 91.167525 71.176996 \nL 97.480439 73.626732 \nL 104.115112 76.783968 \nL 110.916699 80.474769 \nL 117.744379 84.541201 \nL 124.475761 88.847653 \nL 131.009195 93.28333 \nL 137.2643 97.761892 \nL 143.181134 102.219211 \nL 148.718424 106.610037 \nL 153.851255 110.904394 \nL 158.568511 115.084129 \nL 162.870316 119.139758 \nL 166.765629 123.067948 \nL 170.270056 126.869459 \nL 173.40396 130.547625 \nL 176.190864 134.107235 \nL 178.65614 137.553742 \nL 180.825951 140.892769 \nL 182.726434 144.12979 \nL 184.383083 147.269945 \nL 185.820293 150.317954 \nL 187.061052 153.278103 \nL 188.126738 156.154248 \nL 189.809771 161.668087 \nL 191.005653 166.883354 \nL 191.823665 171.81983 \nL 192.3487 176.494339 \nL 192.644585 180.921589 \nL 192.757468 185.114738 \nL 192.649308 190.991243 \nL 192.255343 196.40308 \nL 191.586004 201.380151 \nL 190.973973 204.468409 \nL 190.209649 207.378547 \nL 189.267709 210.11278 \nL 188.114523 212.66998 \nL 186.706983 215.04432 \nL 184.990891 217.223216 \nL 183.996671 218.232874 \nL 182.898901 219.184295 \nL 181.686703 220.072409 \nL 180.348044 220.890851 \nL 178.869653 221.6317 \nL 177.236917 222.285133 \nL 175.433802 222.839033 \nL 173.442778 223.27851 \nL 171.244755 223.585345 \nL 168.819067 223.737307 \nL 166.143501 223.707395 \nL 163.194391 223.462938 \nL 159.946827 222.964605 \nL 156.374996 222.165323 \nL 152.452724 221.00916 \nL 148.154283 219.430238 \nL 143.455531 217.351852 \nL 138.335491 214.685948 \nL 132.778483 211.333339 \nL 126.776884 207.185061 \nL 120.334657 202.125426 \nL 113.47169 196.03754 \nL 106.228858 188.811981 \nL 98.673691 180.359361 \nL 90.906207 170.62713 \nL 83.064132 159.62025 \nL 75.326445 147.424014 \nL 67.913852 134.225877 \nL 61.084493 120.330871 \nL 55.123474 106.164312 \nL 50.325506 92.255283 \nL 46.971203 79.197336 \nL 45.299402 67.588286 \nL 45.479666 57.957844 \nL 47.590045 50.69815 \nL 51.604841 46.013523 \nL 57.395251 43.902156 \nL 64.743106 44.172977 \nL 73.364492 46.491036 \nL 82.938704 50.438141 \nL 93.137166 55.573434 \nL 103.64812 61.482748 \nL 114.194608 67.810787 \nL 124.54511 74.276146 \nL 143.978364 86.860951 \nL 161.044477 98.320805 \nL 175.439482 108.416248 \nL 181.652937 112.974101 \nL 187.252135 117.235796 \nL 192.280347 121.227412 \nL 196.786124 124.974399 \nL 200.820654 128.500083 \nL 204.435781 131.824936 \nL 210.610237 137.938482 \nL 215.692609 143.417682 \nL 225.724164 154.649591 \nL 229.33703 158.167133 \nL 231.15893 159.703056 \nL 233.018129 161.081404 \nL 234.932493 162.293589 \nL 236.918135 163.329539 \nL 238.98949 164.177656 \nL 241.159332 164.8248 \nL 243.438761 165.256302 \nL 245.837102 165.456002 \nL 248.361748 165.406353 \nL 251.017946 165.088619 \nL 253.808479 164.483173 \nL 256.733312 163.569939 \nL 259.789133 162.329016 \nL 262.968848 160.741496 \nL 266.261009 158.790526 \nL 269.64925 156.462615 \nL 273.111687 153.749212 \nL 276.620409 150.648485 \nL 280.141082 147.167273 \nL 283.632724 143.323096 \nL 287.047791 139.146031 \nL 290.332639 134.680275 \nL 293.428382 129.985074 \nL 296.272339 125.134805 \nL 298.79996 120.217901 \nL 300.947306 115.334466 \nL 302.653901 110.592513 \nL 303.865855 106.102996 \nL 304.538991 101.973995 \nL 304.6417 98.304483 \nL 304.157233 95.178485 \nL 303.085186 92.660194 \nL 301.441988 90.79069 \nL 299.26031 89.586562 \nL 296.587464 89.040588 \nL 293.482947 89.124174 \nL 290.015365 89.791278 \nL 286.259063 90.983056 \nL 282.290716 92.632737 \nL 278.186192 94.670304 \nL 274.017858 97.026327 \nL 269.852438 99.63512 \nL 265.74951 102.436772 \nL 261.760585 105.378376 \nL 257.928717 108.4145 \nL 254.288591 111.507057 \nL 250.866936 114.624819 \nL 247.683184 117.742647 \nL 244.750296 120.840628 \nL 242.075665 123.903192 \nL 239.662021 126.918301 \nL 237.508341 129.876664 \nL 235.61067 132.771107 \nL 233.962884 135.596026 \nL 232.557347 138.346936 \nL 231.385504 141.020085 \nL 230.438362 143.612186 \nL 229.706889 146.120178 \nL 229.182348 148.541023 \nL 228.856553 150.871556 \nL 228.72206 153.108348 \nL 228.77232 155.24758 \nL 229.001771 157.284938 \nL 229.405899 159.215501 \nL 229.981266 161.033626 \nL 230.725505 162.732843 \nL 231.637282 164.305732 \nL 232.716255 165.743791 \nL 233.962982 167.037309 \nL 235.378812 168.175248 \nL 236.965753 169.145075 \nL 238.726312 169.932674 \nL 240.663271 170.522217 \nL 242.779458 170.896089 \nL 245.077431 171.034834 \nL 247.559127 170.917199 \nL 250.225433 170.52025 \nL 253.075687 169.819637 \nL 256.107094 168.789995 \nL 259.31407 167.405576 \nL 262.687483 165.641157 \nL 266.213852 163.473215 \nL 269.87449 160.881495 \nL 273.64462 157.850929 \nL 277.492568 154.373887 \nL 281.379063 150.452775 \nL 285.256768 146.102707 \nL 289.07012 141.354226 \nL 292.755682 136.255616 \nL 296.24306 130.874518 \nL 299.456518 125.298413 \nL 302.317333 119.633574 \nL 304.746921 114.002148 \nL 306.6705 108.537275 \nL 308.021216 103.376426 \nL 308.744299 98.653455 \nL 308.800831 94.49008 \nL 308.170836 90.987863 \nL 306.855127 88.221742 \nL 304.875871 86.235801 \nL 302.275592 85.042009 \nL 299.114822 84.621727 \nL 295.468631 84.929828 \nL 291.422408 85.90051 \nL 287.06734 87.453971 \nL 282.496012 89.503148 \nL 277.798491 91.959705 \nL 273.059048 94.738822 \nL 268.353773 97.762728 \nL 263.74901 100.962735 \nL 259.300551 104.280216 \nL 255.05353 107.666604 \nL 251.042817 111.082737 \nL 247.2938 114.497854 \nL 243.823412 117.888355 \nL 240.641269 121.236542 \nL 237.750879 124.529445 \nL 235.150794 127.757754 \nL 232.835695 130.914933 \nL 230.797385 133.99645 \nL 229.025648 136.999199 \nL 227.509003 139.921032 \nL 226.235332 142.760382 \nL 225.192382 145.516005 \nL 224.368198 148.186769 \nL 223.751441 150.771488 \nL 223.331638 153.268783 \nL 223.099375 155.676992 \nL 223.046419 157.994091 \nL 223.165807 160.217592 \nL 223.451897 162.344454 \nL 223.900385 164.371001 \nL 224.508305 166.292814 \nL 225.274001 168.10464 \nL 226.197089 169.800266 \nL 227.278397 171.372357 \nL 228.51989 172.812354 \nL 229.924589 174.110252 \nL 231.496453 175.25448 \nL 233.240249 176.23167 \nL 235.161379 177.026489 \nL 237.265692 177.621438 \nL 239.559221 177.996697 \nL 242.047884 178.12996 \nL 244.73711 177.996393 \nL 247.631368 177.568605 \nL 250.733618 176.816823 \nL 254.044637 175.70922 \nL 257.562241 174.212496 \nL 261.280353 172.292792 \nL 265.18799 169.917008 \nL 269.268118 167.0546 \nL 273.496424 163.679936 \nL 277.840133 159.775202 \nL 282.256878 155.333854 \nL 286.693797 150.364468 \nL 291.087009 144.89475 \nL 295.361682 138.975317 \nL 299.432845 132.682639 \nL 303.207214 126.120584 \nL 306.586063 119.419775 \nL 309.469242 112.734243 \nL 311.760182 106.235034 \nL 313.371575 100.100909 \nL 314.231255 94.506839 \nL 314.287697 89.611491 \nL 313.514403 85.545439 \nL 311.91265 82.40158 \nL 309.512135 80.229391 \nL 306.369466 79.033661 \nL 302.564567 78.777624 \nL 298.195572 79.389872 \nL 293.372697 80.773597 \nL 288.211921 82.816751 \nL 282.828991 85.401678 \nL 277.334281 88.413196 \nL 271.82878 91.744747 \nL 266.401377 95.302162 \nL 261.127268 99.005656 \nL 256.067498 102.79 \nL 251.269267 106.603757 \nL 246.766905 110.4077 \nL 242.583208 114.172947 \nL 238.730992 117.879045 \nL 235.214734 121.512141 \nL 232.032164 125.063381 \nL 229.175745 128.527587 \nL 226.634023 131.902165 \nL 224.392789 135.18629 \nL 222.436081 138.380245 \nL 220.747013 141.484991 \nL 219.30844 144.501801 \nL 218.103506 147.432061 \nL 217.116041 150.277111 \nL 216.330884 153.038121 \nL 215.734101 155.716048 \nL 215.313144 158.311559 \nL 215.056942 160.825014 \nL 214.955961 163.256433 \nL 215.002225 165.605445 \nL 215.189311 167.871261 \nL 215.512328 170.052627 \nL 215.967887 172.147748 \nL 216.554062 174.154248 \nL 217.27034 176.06905 \nL 218.117583 177.888306 \nL 219.097983 179.607255 \nL 220.215006 181.220094 \nL 221.473347 182.719797 \nL 222.878878 184.097945 \nL 224.43858 185.344507 \nL 226.160474 186.447584 \nL 228.053528 187.393161 \nL 230.127525 188.164795 \nL 232.392919 188.743302 \nL 234.860622 189.106453 \nL 237.541731 189.228625 \nL 240.447168 189.080541 \nL 243.587224 188.629031 \nL 246.970974 187.836933 \nL 250.605532 186.663169 \nL 254.495122 185.063103 \nL 258.63998 182.989282 \nL 263.034986 180.392707 \nL 267.668126 177.224774 \nL 272.51874 173.44005 \nL 277.555611 169.000041 \nL 282.735048 163.877954 \nL 287.999094 158.064461 \nL 293.274062 151.574211 \nL 298.469796 144.452522 \nL 303.479908 136.781581 \nL 308.183479 128.68482 \nL 312.448431 120.328296 \nL 316.136882 111.917724 \nL 319.112325 103.690113 \nL 321.248295 95.899932 \nL 322.43777 88.800625 \nL 322.602189 82.623701 \nL 321.698973 77.558256 \nL 319.72627 73.734505 \nL 316.724256 71.214086 \nL 312.772635 69.988562 \nL 307.984727 69.986149 \nL 302.498964 71.084765 \nL 296.469074 73.128755 \nL 290.054093 75.946159 \nL 283.409377 79.36424 \nL 276.679303 83.221509 \nL 269.99204 87.375573 \nL 263.456401 91.70722 \nL 257.160588 96.121236 \nL 251.172422 100.544999 \nL 245.540682 104.925754 \nL 240.29712 109.22718 \nL 235.458857 113.425973 \nL 231.030881 117.508678 \nL 227.008465 121.468971 \nL 223.379404 125.305453 \nL 220.125987 129.01993 \nL 217.226691 132.616173 \nL 214.657592 136.098972 \nL 212.393516 139.47355 \nL 210.408947 142.745153 \nL 208.678723 145.918806 \nL 207.178563 148.999202 \nL 205.885435 151.990627 \nL 204.777806 154.896965 \nL 203.835795 157.721703 \nL 202.377755 163.138713 \nL 201.386827 168.263421 \nL 200.764885 173.113918 \nL 200.437525 177.705583 \nL 200.350914 182.051733 \nL 200.46871 186.164014 \nL 200.769391 190.052511 \nL 201.244138 193.72567 \nL 201.895329 197.190071 \nL 202.735651 200.449936 \nL 203.787814 203.506396 \nL 205.084824 206.356358 \nL 206.670798 208.990826 \nL 207.589291 210.22223 \nL 208.602301 211.392394 \nL 209.719136 212.497228 \nL 210.95013 213.531568 \nL 212.306714 214.48896 \nL 213.801494 215.361393 \nL 215.448322 216.138984 \nL 217.262364 216.809598 \nL 219.260154 217.358417 \nL 221.459624 217.767394 \nL 223.880097 218.014653 \nL 226.542236 218.073784 \nL 229.467913 217.913045 \nL 232.679976 217.494492 \nL 236.20188 216.773036 \nL 240.057134 215.695516 \nL 244.268492 214.199837 \nL 248.856834 212.214323 \nL 253.839646 209.657474 \nL 259.229025 206.438433 \nL 265.029086 202.458512 \nL 271.232738 197.614343 \nL 277.817793 191.80314 \nL 284.742471 184.930776 \nL 291.940458 176.923134 \nL 299.315986 167.740943 \nL 306.73951 157.397604 \nL 314.04499 145.978536 \nL 321.029945 133.659136 \nL 327.459644 120.717075 \nL 333.076514 107.533625 \nL 337.615394 94.579024 \nL 340.823971 82.379102 \nL 342.48657 71.464765 \nL 342.447768 62.311342 \nL 340.631804 55.27966 \nL 337.053808 50.572022 \nL 331.820218 48.213605 \nL 325.118312 48.062851 \nL 317.196796 49.846357 \nL 308.341379 53.208252 \nL 298.849529 57.761887 \nL 289.008237 63.133893 \nL 279.076995 68.995022 \nL 269.277008 75.076542 \nL 259.786203 81.17448 \nL 250.73889 87.145225 \nL 234.313926 98.375509 \nL 227.022559 103.560051 \nL 220.359022 108.447429 \nL 214.309307 113.047911 \nL 208.845918 117.378968 \nL 203.931982 121.461323 \nL 199.524589 125.316312 \nL 195.577432 128.964229 \nL 192.042823 132.423418 \nL 188.873208 135.709813 \nL 183.445506 141.815418 \nL 178.949502 147.3598 \nL 169.902407 158.995527 \nL 166.556926 162.760793 \nL 164.849899 164.439385 \nL 163.094433 165.97336 \nL 161.273135 167.354463 \nL 159.369894 168.572861 \nL 157.369785 169.617059 \nL 155.259035 170.473774 \nL 153.025031 171.127843 \nL 150.656379 171.562167 \nL 148.143047 171.75763 \nL 145.47658 171.693141 \nL 142.650386 171.345746 \nL 139.660123 170.690841 \nL 136.504189 169.702601 \nL 133.1843 168.35456 \nL 129.706178 166.620504 \nL 126.080305 164.475677 \nL 122.322777 161.898312 \nL 118.456144 158.871584 \nL 114.51026 155.385954 \nL 110.522998 151.441813 \nL 106.54079 147.052336 \nL 102.618793 142.246359 \nL 98.820627 137.070937 \nL 95.217509 131.5932 \nL 91.88664 125.901085 \nL 88.908851 120.102479 \nL 86.365409 114.322437 \nL 84.334215 108.698308 \nL 82.885497 103.372864 \nL 82.077451 98.486037 \nL 81.952146 94.165924 \nL 82.532236 90.520193 \nL 83.818806 87.629046 \nL 85.790703 85.540556 \nL 88.405411 84.26905 \nL 91.601444 83.796592 \nL 95.301905 84.07716 \nL 99.418891 85.04275 \nL 103.858239 86.610462 \nL 108.52416 88.689603 \nL 113.323387 91.188133 \nL 118.168601 94.017698 \nL 122.98099 97.097372 \nL 127.691903 100.355883 \nL 132.243673 103.732561 \nL 136.58974 107.177339 \nL 140.694236 110.650047 \nL 144.531163 114.119308 \nL 148.083305 117.561216 \nL 151.341035 120.958026 \nL 154.301052 124.296892 \nL 156.965181 127.568732 \nL 159.339228 130.767305 \nL 161.431968 133.888439 \nL 163.254237 136.92938 \nL 164.818161 139.888351 \nL 166.136514 142.764154 \nL 167.222184 145.555907 \nL 168.087744 148.26283 \nL 168.745121 150.884087 \nL 169.205341 153.418672 \nL 169.478339 155.865301 \nL 169.57283 158.222331 \nL 169.496217 160.487672 \nL 169.254548 162.65872 \nL 168.852488 164.732275 \nL 168.29333 166.704422 \nL 167.579009 168.570467 \nL 166.710147 170.324797 \nL 165.686096 171.96075 \nL 164.505013 173.47049 \nL 163.163938 174.84481 \nL 161.658885 176.072974 \nL 159.984966 177.142528 \nL 158.136535 178.039088 \nL 156.107353 178.746151 \nL 153.890831 179.244869 \nL 151.480275 179.513885 \nL 148.869237 179.52919 \nL 146.051933 179.26406 \nL 143.023736 178.689092 \nL 139.781797 177.7724 \nL 136.325793 176.480031 \nL 132.658788 174.776682 \nL 128.788233 172.626762 \nL 124.727111 169.995957 \nL 120.495175 166.853323 \nL 116.120228 163.17396 \nL 111.639412 158.942343 \nL 107.100326 154.156184 \nL 102.561915 148.830645 \nL 98.09482 143.002626 \nL 93.781056 136.734601 \nL 89.712807 130.11732 \nL 85.990089 123.270688 \nL 82.717217 116.342068 \nL 79.998112 109.501392 \nL 77.930609 102.933049 \nL 76.600273 96.824746 \nL 76.074164 91.354543 \nL 76.395422 86.677478 \nL 77.579266 82.913713 \nL 79.611004 80.139954 \nL 82.4464 78.385463 \nL 86.014354 77.63293 \nL 90.221548 77.82408 \nL 94.958529 78.868467 \nL 100.106415 80.654157 \nL 105.543523 83.058557 \nL 111.151364 85.958026 \nL 116.819482 89.235519 \nL 122.449028 92.785733 \nL 127.954954 96.518128 \nL 133.267045 100.357821 \nL 138.329906 104.245178 \nL 143.102208 108.13435 \nL 147.555409 111.991353 \nL 151.672162 115.791999 \nL 155.444617 119.519834 \nL 158.872693 123.164331 \nL 161.962452 126.719323 \nL 164.724621 130.181753 \nL 167.173284 133.550697 \nL 169.324758 136.826604 \nL 171.196657 140.010745 \nL 172.807126 143.104813 \nL 174.174228 146.110678 \nL 175.315467 149.030193 \nL 176.247431 151.865068 \nL 176.985522 154.616815 \nL 177.54378 157.286676 \nL 177.934761 159.875613 \nL 178.169467 162.384271 \nL 178.257321 164.812963 \nL 178.206158 167.161642 \nL 178.022253 169.429871 \nL 177.710344 171.616776 \nL 177.27368 173.721017 \nL 176.714059 175.740695 \nL 176.031879 177.673291 \nL 175.226181 179.515585 \nL 174.294691 181.263511 \nL 173.233861 182.912058 \nL 172.038913 184.455096 \nL 170.703879 185.885217 \nL 169.221645 187.193504 \nL 167.58401 188.369316 \nL 165.781745 189.400004 \nL 163.804694 190.270632 \nL 161.641879 190.963635 \nL 159.281671 191.458481 \nL 156.712 191.731297 \nL 153.920645 191.754526 \nL 150.895612 191.496597 \nL 147.625634 190.921681 \nL 144.100816 189.989565 \nL 140.313438 188.655746 \nL 136.258984 186.871837 \nL 131.937376 184.586417 \nL 127.354467 181.746487 \nL 122.523768 178.299715 \nL 117.468393 174.197609 \nL 112.223164 169.399849 \nL 106.836728 163.879731 \nL 101.373502 157.630755 \nL 95.915166 150.673937 \nL 90.561367 143.065281 \nL 85.429153 134.902368 \nL 80.65076 126.328673 \nL 76.369444 117.53413 \nL 72.733064 108.750418 \nL 69.885748 100.240034 \nL 67.95798 92.279263 \nL 67.05627 85.136463 \nL 67.253532 79.04852 \nL 68.581654 74.199002 \nL 71.027399 70.702048 \nL 74.532458 68.59471 \nL 78.997594 67.83889 \nL 84.290383 68.331869 \nL 90.255279 69.923028 \nL 96.724669 72.433225 \nL 103.529516 75.673571 \nL 110.508511 79.461126 \nL 117.515089 83.630257 \nL 124.422094 88.039276 \nL 131.124202 92.573017 \nL 137.538413 97.142309 \nL 143.60315 101.681465 \nL 149.276339 106.144713 \nL 154.532939 110.50222 \nL 159.362239 114.736392 \nL 163.765149 118.838603 \nL 167.751668 122.806438 \nL 171.338618 126.641628 \nL 174.54766 130.348391 \nL 177.403651 133.932322 \nL 179.933282 137.399587 \nL 182.164004 140.756419 \nL 184.123192 144.008802 \nL 185.837514 147.162314 \nL 187.332482 150.222028 \nL 188.632141 153.192513 \nL 189.758874 156.077883 \nL 191.574258 161.607569 \nL 192.922264 166.836212 \nL 193.919391 171.784497 \nL 194.657994 176.46998 \nL 195.433951 183.038656 \nL 196.106145 191.008624 \nL 197.354191 207.544231 \nL 198.037509 212.99816 \nL 198.730807 216.709188 \nL 199.65186 220.1147 \nL 200.434689 222.220528 \nL 201.39043 224.195271 \nL 202.560006 226.035734 \nL 203.993941 227.733858 \nL 205.754669 229.274389 \nL 207.919294 230.631337 \nL 209.181954 231.228644 \nL 210.5828 231.76262 \nL 212.137092 232.224168 \nL 213.861671 232.601968 \nL 215.775078 232.881988 \nL 217.897644 233.04688 \nL 220.251572 233.075275 \nL 222.860973 232.940926 \nL 225.75184 232.611723 \nL 228.951922 232.048535 \nL 232.49048 231.203926 \nL 236.397834 230.020741 \nL 240.704674 228.430652 \nL 245.441006 226.352757 \nL 250.634641 223.692472 \nL 256.309089 220.340996 \nL 262.480713 216.17585 \nL 269.155004 211.063122 \nL 276.321828 204.862285 \nL 283.949619 197.434632 \nL 291.978668 188.656378 \nL 300.313763 178.437262 \nL 308.817022 166.744827 \nL 317.302082 153.633078 \nL 325.531356 139.272131 \nL 333.218561 123.972783 \nL 340.038627 108.197414 \nL 345.646385 92.547917 \nL 349.704197 77.723755 \nL 351.915854 64.449994 \nL 352.061942 53.385132 \nL 350.029859 45.028058 \nL 345.831786 39.647501 \nL 339.606025 37.253096 \nL 331.601283 37.614304 \nL 322.147363 40.319052 \nL 311.618852 44.853173 \nL 300.398808 50.679587 \nL 288.848181 57.301323 \nL 277.284153 64.300799 \nL 255.101362 78.239745 \nL 226.393732 96.712945 \nL 210.94493 106.916047 \nL 198.335005 115.599064 \nL 188.195941 123.034013 \nL 180.076617 129.46612 \nL 173.523039 135.077889 \nL 165.733454 142.202837 \nL 161.395954 146.171842 \nL 157.414661 149.530564 \nL 155.48644 150.975643 \nL 153.567923 152.258569 \nL 151.638623 153.373145 \nL 149.680617 154.311944 \nL 147.678438 155.066387 \nL 145.618981 155.626839 \nL 143.491481 155.982736 \nL 141.287508 156.122773 \nL 139.001042 156.035084 \nL 136.628575 155.707526 \nL 134.169273 155.128064 \nL 131.625168 154.285191 \nL 129.00141 153.168524 \nL 126.3065 151.769484 \nL 123.552577 150.082105 \nL 120.755661 148.103944 \nL 117.935863 145.837102 \nL 115.117488 143.289274 \nL 112.329076 140.474805 \nL 109.603245 137.415643 \nL 106.976338 134.142073 \nL 104.487848 130.693201 \nL 102.179573 127.116937 \nL 100.094497 123.469457 \nL 98.275405 119.814035 \nL 96.763307 116.219255 \nL 95.595686 112.75654 \nL 94.804761 109.497279 \nL 94.41576 106.509579 \nL 94.445483 103.855089 \nL 94.901174 101.586005 \nL 95.779852 99.742703 \nL 97.068217 98.352138 \nL 98.743023 97.427152 \nL 100.772053 96.966721 \nL 103.115483 96.957145 \nL 105.727574 97.373836 \nL 108.558592 98.183675 \nL 111.556696 99.347465 \nL 114.669807 100.822394 \nL 117.847261 102.564326 \nL 121.04117 104.529661 \nL 124.207521 106.676806 \nL 127.306915 108.967209 \nL 130.304994 111.365984 \nL 133.172641 113.842188 \nL 135.885894 116.368849 \nL 138.425714 118.922748 \nL 140.777602 121.484105 \nL 142.931134 124.036189 \nL 144.879436 126.564864 \nL 146.618659 129.058179 \nL 148.147447 131.505957 \nL 149.466423 133.899403 \nL 150.577746 136.2308 \nL 151.484674 138.493206 \nL 152.191217 140.680187 \nL 152.701801 142.785635 \nL 153.021034 144.803545 \nL 153.153467 146.727857 \nL 153.10345 148.552338 \nL 152.874995 150.270423 \nL 152.471709 151.875101 \nL 151.896739 153.358828 \nL 151.152773 154.713425 \nL 150.242067 155.92997 \nL 149.166497 156.998755 \nL 147.927668 157.909204 \nL 146.527025 158.649852 \nL 144.966024 159.2083 \nL 143.246321 159.571275 \nL 141.370014 159.724679 \nL 139.339919 159.65372 \nL 137.159874 159.34314 \nL 134.835112 158.777481 \nL 132.372641 157.941525 \nL 129.781675 156.82083 \nL 127.074098 155.402428 \nL 124.26491 153.675678 \nL 121.372684 151.633257 \nL 118.419992 149.272331 \nL 115.433741 146.595838 \nL 112.445375 143.613763 \nL 109.490955 140.344487 \nL 106.610977 136.815897 \nL 103.849934 133.06622 \nL 101.255557 129.144462 \nL 98.877703 125.110152 \nL 96.766895 121.032367 \nL 94.972547 116.987948 \nL 93.54095 113.058817 \nL 92.51313 109.328617 \nL 91.922693 105.878814 \nL 91.793932 102.784623 \nL 92.140229 100.111094 \nL 92.963026 97.909853 \nL 94.251415 96.216678 \nL 95.98244 95.050304 \nL 98.122065 94.412499 \nL 100.626738 94.28924 \nL 103.445367 94.652937 \nL 106.52166 95.465209 \nL 109.796441 96.68013 \nL 113.209968 98.24729 \nL 116.703973 100.114685 \nL 120.223387 102.231163 \nL 123.717679 104.548196 \nL 127.141788 107.021208 \nL 130.456655 109.610306 \nL 133.629426 112.280557 \nL 136.633366 115.001968 \nL 139.447534 117.749183 \nL 142.056324 120.501015 \nL 144.448871 123.239935 \nL 146.618429 125.951504 \nL 148.561713 128.623827 \nL 150.278264 131.24706 \nL 151.76985 133.812958 \nL 153.039921 136.314481 \nL 154.093114 138.745443 \nL 154.934826 141.10025 \nL 155.570843 143.373657 \nL 156.007055 145.560543 \nL 156.249185 147.65575 \nL 156.302614 149.653937 \nL 156.172235 151.549425 \nL 155.862345 153.336084 \nL 155.376586 155.007227 \nL 154.717925 156.555472 \nL 153.888658 157.972668 \nL 152.890466 159.249769 \nL 151.724471 160.376763 \nL 150.391357 161.342581 \nL 148.891499 162.135026 \nL 147.225151 162.740728 \nL 145.392646 163.145154 \nL 143.394657 163.332608 \nL 141.232503 163.28636 \nL 138.90849 162.988805 \nL 136.426317 162.42174 \nL 133.791516 161.566783 \nL 131.011956 160.40592 \nL 128.098391 158.922269 \nL 125.065012 157.100999 \nL 121.930047 154.930501 \nL 118.716276 152.403726 \nL 115.451546 149.519752 \nL 112.169151 146.285439 \nL 108.908009 142.717146 \nL 105.712602 138.84231 \nL 102.632613 134.70072 \nL 99.722164 130.345341 \nL 97.038585 125.842353 \nL 94.64077 121.270268 \nL 92.587088 116.717954 \nL 90.932909 112.281517 \nL 89.727944 108.060189 \nL 89.013553 104.151399 \nL 88.820242 100.645553 \nL 89.165593 97.620943 \nL 90.052873 95.139381 \nL 91.470419 93.243124 \nL 93.391989 91.953263 \nL 95.777926 91.269837 \nL 98.577122 91.173502 \nL 101.72957 91.628518 \nL 105.169215 92.58647 \nL 108.826931 93.990431 \nL 112.633344 95.778972 \nL 116.521338 97.889769 \nL 120.428073 100.262512 \nL 124.296559 102.841036 \nL 128.076657 105.574713 \nL 131.725598 108.419155 \nL 135.208111 111.336352 \nL 138.496194 114.294449 \nL 141.568626 117.267186 \nL 144.410324 120.233253 \nL 147.011578 123.175551 \nL 149.36727 126.080454 \nL 151.476048 128.937143 \nL 153.339592 131.73699 \nL 154.961891 134.473051 \nL 156.348611 137.139587 \nL 157.506547 139.731735 \nL 158.443128 142.245181 \nL 159.166034 144.675916 \nL 159.68285 147.020035 \nL 160.000807 149.273548 \nL 160.126573 151.432246 \nL 160.066106 153.491578 \nL 159.824539 155.44652 \nL 159.40612 157.291436 \nL 158.814173 159.02001 \nL 158.051111 160.625096 \nL 157.118456 162.09862 \nL 156.016908 163.43146 \nL 154.746421 164.613329 \nL 153.306338 165.632664 \nL 151.695526 166.476515 \nL 149.91257 167.13048 \nL 147.956 167.578627 \nL 145.824561 167.803484 \nL 143.517525 167.78608 \nL 141.03508 167.506053 \nL 138.378784 166.941915 \nL 135.552046 166.071386 \nL 132.560729 164.871999 \nL 129.413779 163.321806 \nL 126.123923 161.400468 \nL 122.708403 159.090503 \nL 119.189714 156.378915 \nL 115.596284 153.259064 \nL 111.963081 149.732791 \nL 108.332002 145.812676 \nL 104.75203 141.524247 \nL 101.278983 136.907956 \nL 97.974791 132.020617 \nL 94.906236 126.935963 \nL 92.143036 121.744019 \nL 89.75537 116.549026 \nL 87.810859 111.465825 \nL 86.371146 106.614673 \nL 85.48841 102.114953 \nL 85.202012 98.078182 \nL 85.535715 94.601179 \nL 86.495694 91.760119 \nL 88.069642 89.606228 \nL 90.227112 88.163676 \nL 92.920997 87.429726 \nL 96.09008 87.37715 \nL 99.662314 87.958389 \nL 103.558597 89.110683 \nL 107.69654 90.761695 \nL 111.994072 92.83485 \nL 116.372541 95.2539 \nL 120.7592 97.946543 \nL 125.088957 100.846849 \nL 129.305501 103.896796 \nL 133.361766 107.046764 \nL 137.219892 110.255445 \nL 140.850778 113.489246 \nL 144.233364 116.721422 \nL 147.353723 119.931072 \nL 150.204059 123.10216 \nL 152.781706 126.222515 \nL 155.088117 129.283027 \nL 157.127963 132.276883 \nL 158.908285 135.198973 \nL 160.437772 138.045382 \nL 161.72612 140.813003 \nL 162.783499 143.499234 \nL 163.62012 146.101709 \nL 164.245873 148.618119 \nL 164.67005 151.046051 \nL 164.901132 153.382845 \nL 164.946633 155.625509 \nL 164.812988 157.770574 \nL 164.505487 159.814021 \nL 164.028238 161.751159 \nL 163.384163 163.576542 \nL 162.575014 165.283835 \nL 161.601425 166.865673 \nL 160.462964 168.313565 \nL 159.158227 169.617724 \nL 157.684951 170.76693 \nL 156.04014 171.748367 \nL 154.220238 172.54748 \nL 152.221343 173.147844 \nL 150.039446 173.531027 \nL 147.670737 173.676536 \nL 145.111977 173.561799 \nL 142.36093 173.162247 \nL 139.416893 172.451516 \nL 136.281303 171.401856 \nL 132.958447 169.984727 \nL 129.456277 168.171704 \nL 125.787289 165.935729 \nL 121.9695 163.252738 \nL 118.027427 160.103729 \nL 113.993057 156.477274 \nL 109.906691 152.372384 \nL 105.817567 147.801639 \nL 101.78416 142.794328 \nL 97.873934 137.399302 \nL 94.162468 131.687046 \nL 90.73177 125.750569 \nL 87.667751 119.704485 \nL 85.05682 113.682001 \nL 82.98172 107.829556 \nL 81.51691 102.299281 \nL 80.723788 97.239841 \nL 80.646299 92.786607 \nL 81.307384 89.052274 \nL 82.706755 86.119249 \nL 84.82027 84.034864 \nL 87.601069 82.809872 \nL 90.982256 82.420524 \nL 94.880933 82.813426 \nL 99.203051 83.912498 \nL 103.848559 85.626877 \nL 108.716393 87.858634 \nL 113.708857 90.50959 \nL 118.735175 93.486659 \nL 123.714098 96.705553 \nL 128.575492 100.09291 \nL 133.261065 103.587033 \nL 137.724374 107.137684 \nL 141.93023 110.705112 \nL 145.853737 114.258784 \nL 149.479087 117.77586 \nL 152.798227 121.239762 \nL 155.809521 124.638823 \nL 158.516465 127.965111 \nL 160.926495 131.213438 \nL 163.049929 134.380592 \nL 164.899041 137.464703 \nL 166.487277 140.464763 \nL 167.8286 143.380288 \nL 168.936963 146.211041 \nL 169.825887 148.95683 \nL 170.508133 151.6174 \nL 170.995461 154.192276 \nL 171.298441 156.680726 \nL 171.426346 159.081649 \nL 171.387063 161.393532 \nL 171.187051 163.614383 \nL 170.831334 165.741625 \nL 170.323496 167.772057 \nL 169.665717 169.701736 \nL 168.858803 171.525875 \nL 167.90223 173.238716 \nL 166.79421 174.833399 \nL 165.531754 176.301802 \nL 164.110752 177.634368 \nL 162.526079 178.819875 \nL 160.771698 179.84528 \nL 158.840813 180.695449 \nL 156.726047 181.352939 \nL 154.419657 181.797771 \nL 151.913827 182.007223 \nL 149.201006 181.95565 \nL 146.274354 181.614407 \nL 143.128273 180.951858 \nL 139.759075 179.933568 \nL 136.165781 178.522748 \nL 132.351058 176.680995 \nL 128.322339 174.369501 \nL 124.093049 171.550738 \nL 119.684001 168.190771 \nL 115.124806 164.262315 \nL 110.45532 159.748411 \nL 105.726899 154.646827 \nL 101.003326 148.974805 \nL 96.361251 142.773883 \nL 91.889768 136.114163 \nL 87.688963 129.097235 \nL 83.867223 121.856942 \nL 80.537169 114.557033 \nL 77.810252 107.385228 \nL 75.790326 100.543422 \nL 74.566675 94.234765 \nL 74.207208 88.648656 \nL 74.752611 83.945939 \nL 76.212342 80.246112 \nL 78.562984 77.618774 \nL 81.749279 76.08059 \nL 85.687738 75.597833 \nL 90.272334 76.093948 \nL 95.38155 77.46044 \nL 100.885883 79.569222 \nL 106.655081 82.284553 \nL 112.564374 85.473141 \nL 118.499375 89.01184 \nL 124.359462 92.792383 \nL 130.059674 96.723756 \nL 135.531353 100.732444 \nL 140.721762 104.761368 \nL 145.592938 108.76787 \nL 150.120125 112.721398 \nL 154.28992 116.601126 \nL 158.098362 120.393707 \nL 161.549095 124.091378 \nL 164.651633 127.690386 \nL 167.419841 131.189715 \nL 169.870604 134.590144 \nL 172.022701 137.893526 \nL 173.895895 141.102312 \nL 175.510182 144.21918 \nL 176.88522 147.246849 \nL 178.039878 150.187892 \nL 178.99192 153.044685 \nL 179.757768 155.819347 \nL 180.352358 158.51372 \nL 180.789046 161.129362 \nL 181.079565 163.667547 \nL 181.234024 166.129254 \nL 181.260922 168.515156 \nL 181.167189 170.825605 \nL 180.958228 173.060639 \nL 180.63797 175.219917 \nL 180.20893 177.302687 \nL 179.672248 179.307753 \nL 179.027751 181.233376 \nL 178.273983 183.077238 \nL 177.408246 184.836308 \nL 176.42663 186.506738 \nL 175.324036 188.083737 \nL 174.094202 189.561398 \nL 172.729719 190.932511 \nL 171.222053 192.188346 \nL 169.56158 193.318394 \nL 167.737617 194.310082 \nL 165.738494 195.148442 \nL 163.551632 195.815737 \nL 161.163678 196.291069 \nL 158.560695 196.549938 \nL 155.728406 196.563809 \nL 152.652566 196.299686 \nL 149.319438 195.71973 \nL 145.716415 194.780997 \nL 141.832858 193.435383 \nL 137.661133 191.629837 \nL 133.197923 189.307075 \nL 128.445825 186.406898 \nL 123.415263 182.868379 \nL 118.126663 178.633134 \nL 112.612906 173.649887 \nL 106.921839 167.880505 \nL 101.118728 161.307449 \nL 95.288315 153.942395 \nL 89.536032 145.835373 \nL 83.987909 137.083259 \nL 78.788627 127.836066 \nL 74.097205 118.299014 \nL 70.080064 108.728424 \nL 66.901531 99.420048 \nL 64.71237 90.689567 \nL 63.637425 82.84681 \nL 63.763956 76.167026 \nL 65.132395 70.863974 \nL 67.731143 67.069731 \nL 71.496326 64.824978 \nL 76.316632 64.081357 \nL 82.042501 64.714734 \nL 88.498153 66.545894 \nL 95.494746 69.3644 \nL 102.842889 72.951305 \nL 110.363237 77.097692 \nL 117.894427 81.617525 \nL 125.298113 86.35469 \nL 132.461365 91.185112 \nL 139.296828 96.015306 \nL 145.741306 100.778692 \nL 151.753289 105.430961 \nL 157.309915 109.945217 \nL 162.403775 114.307493 \nL 167.039798 118.513012 \nL 171.232381 122.563093 \nL 175.002875 126.462858 \nL 178.377434 130.219507 \nL 181.385244 133.841165 \nL 184.057104 137.336105 \nL 186.424305 140.71227 \nL 188.517788 143.977013 \nL 190.367526 147.136957 \nL 192.002092 150.197982 \nL 194.731444 156.043359 \nL 196.898651 161.547155 \nL 198.666694 166.735203 \nL 200.86039 173.966937 \nL 203.472806 182.649555 \nL 204.832302 186.596257 \nL 206.32277 190.281776 \nL 208.012357 193.700437 \nL 209.971193 196.838648 \nL 211.074918 198.29547 \nL 212.274951 199.671937 \nL 213.582158 200.962591 \nL 215.008143 202.160653 \nL 216.565335 203.257792 \nL 218.267046 204.243832 \nL 220.127543 205.106418 \nL 222.162059 205.830635 \nL 224.386809 206.398535 \nL 226.818938 206.788658 \nL 229.476426 206.975433 \nL 232.37791 206.928591 \nL 235.542388 206.612496 \nL 238.988819 205.985507 \nL 242.735523 204.999395 \nL 246.799365 203.598907 \nL 251.194659 201.721589 \nL 255.931764 199.298084 \nL 261.015261 196.253072 \nL 266.441726 192.507248 \nL 272.196997 187.980604 \nL 278.253087 182.597435 \nL 284.564667 176.293442 \nL 291.065509 169.025113 \nL 297.665117 160.781227 \nL 304.246131 151.595967 \nL 310.663227 141.56223 \nL 316.744316 130.842891 \nL 322.294892 119.677134 \nL 327.106185 108.378408 \nL 330.967246 97.32126 \nL 333.680392 86.915788 \nL 335.07852 77.571386 \nL 335.04199 69.654545 \nL 333.512318 63.448397 \nL 330.50018 59.122089 \nL 326.086044 56.71655 \nL 320.413218 56.149105 \nL 313.674551 57.234934 \nL 306.095176 59.719327 \nL 297.914047 63.313395 \nL 289.366906 67.726556 \nL 280.672492 72.691353 \nL 272.022898 77.978957 \nL 263.578105 83.405894 \nL 255.464184 88.83401 \nL 247.774321 94.165943 \nL 240.57169 99.338344 \nL 233.893432 104.314465 \nL 227.75503 109.077149 \nL 222.154636 113.622813 \nL 217.077092 117.956673 \nL 212.497449 122.089105 \nL 208.383956 126.033028 \nL 204.70051 129.802142 \nL 201.4086 133.409824 \nL 198.468825 136.868434 \nL 195.842021 140.188993 \nL 193.490081 143.381048 \nL 189.466833 149.410639 \nL 186.132009 155.006021 \nL 176.826146 171.478078 \nL 174.162015 175.290268 \nL 172.744916 177.033643 \nL 171.251541 178.661141 \nL 169.667681 180.165589 \nL 167.979355 181.538294 \nL 166.172732 182.768852 \nL 164.234059 183.844919 \nL 162.149643 184.751948 \nL 159.90588 185.47292 \nL 157.489335 185.988074 \nL 154.886888 186.274623 \nL 152.085968 186.306487 \nL 149.074875 186.054103 \nL 145.843242 185.484307 \nL 142.382611 184.560367 \nL 138.687176 183.242242 \nL 134.754717 181.487162 \nL 130.587709 179.250598 \nL 126.194637 176.487822 \nL 121.591512 173.156157 \nL 116.803489 169.218001 \nL 111.866594 164.644747 \nL 106.829377 159.421614 \nL 101.75433 153.553179 \nL 96.7188 147.069314 \nL 91.815168 140.030924 \nL 87.149881 132.534621 \nL 82.841065 124.715255 \nL 79.014559 116.745135 \nL 75.798178 108.828958 \nL 73.314561 101.193939 \nL 71.672952 94.075404 \nL 70.960849 87.699178 \nL 71.236407 82.262968 \nL 72.522739 77.919484 \nL 74.804929 74.764186 \nL 78.030298 72.829566 \nL 82.11194 72.086685 \nL 86.935004 72.453366 \nL 92.364885 73.807089 \nL 98.256185 76.000102 \nL 104.461459 78.874338 \nL 110.838872 82.274274 \nL 117.258208 86.056451 \nL 123.605034 90.095578 \nL 129.78305 94.287302 \nL 135.714856 98.548513 \nL 141.341477 102.815794 \nL 146.621009 107.042916 \nL 151.526699 111.197835 \nL 156.044758 115.259707 \nL 160.172108 119.216199 \nL 163.914209 123.061165 \nL 167.283073 126.792752 \nL 170.295505 130.411949 \nL 172.971598 133.921501 \nL 175.333471 137.325132 \nL 177.40425 140.626994 \nL 179.207255 143.831324 \nL 180.765375 146.942235 \nL 182.100596 149.963586 \nL 183.233673 152.89892 \nL 184.183895 155.751447 \nL 184.968951 158.524056 \nL 185.604849 161.219351 \nL 186.484747 166.38702 \nL 186.918228 171.270132 \nL 186.974883 175.881026 \nL 186.701624 180.228957 \nL 186.12512 184.320014 \nL 185.253919 188.156658 \nL 184.080008 191.736746 \nL 182.579744 195.052032 \nL 181.695648 196.605583 \nL 180.714132 198.085871 \nL 179.627873 199.488963 \nL 178.428521 200.809909 \nL 177.106671 202.042558 \nL 175.651832 203.179328 \nL 174.052389 204.210942 \nL 172.295584 205.126108 \nL 170.367504 205.911161 \nL 168.253094 206.549636 \nL 165.936194 207.021786 \nL 163.39964 207.30403 \nL 160.625403 207.368363 \nL 157.594844 207.181702 \nL 154.289072 206.705234 \nL 150.689448 205.89378 \nL 146.778304 204.695257 \nL 142.539902 203.050354 \nL 137.961697 200.892549 \nL 133.035957 198.148707 \nL 127.761811 194.740492 \nL 122.147764 190.586984 \nL 116.214633 185.608811 \nL 109.998922 179.734248 \nL 103.556432 172.90753 \nL 96.96582 165.099497 \nL 90.331707 156.320174 \nL 83.786639 146.632377 \nL 77.491134 136.164497 \nL 71.630973 125.119795 \nL 66.410865 113.778906 \nL 62.044175 102.492284 \nL 58.738831 91.660421 \nL 56.680449 81.701927 \nL 56.014738 73.012906 \nL 56.831723 65.924012 \nL 59.154576 60.663674 \nL 62.93534 57.335107 \nL 68.058343 55.911936 \nL 74.350852 56.252414 \nL 81.598984 58.127826 \nL 89.566183 61.258081 \nL 98.011379 65.34682 \nL 106.704666 70.110587 \nL 115.439051 75.298948 \nL 124.037916 80.705251 \nL 132.358438 86.169469 \nL 140.291761 91.575353 \nL 147.760829 96.844412 \nL 154.716768 101.92843 \nL 161.134601 106.802127 \nL 167.008787 111.456552 \nL 172.348994 115.893655 \nL 177.17631 120.122107 \nL 181.519967 124.154185 \nL 185.414636 128.003664 \nL 188.898235 131.684386 \nL 192.010218 135.209404 \nL 194.790266 138.590529 \nL 197.277328 141.838086 \nL 201.520812 147.966368 \nL 205.017296 153.64808 \nL 209.380222 161.403764 \nL 213.27094 168.277891 \nL 215.870583 172.364197 \nL 218.633395 176.028398 \nL 220.114309 177.690478 \nL 221.680958 179.230524 \nL 223.347481 180.640242 \nL 225.127814 181.909663 \nL 227.03576 183.026947 \nL 229.085024 183.978135 \nL 231.289198 184.746875 \nL 233.661698 185.314168 \nL 236.215618 185.658085 \nL 238.963541 185.753508 \nL 241.917225 185.571939 \nL 245.087177 185.081358 \nL 248.482122 184.246238 \nL 252.108296 183.027759 \nL 255.968566 181.3843 \nL 260.061378 179.272354 \nL 264.3795 176.647914 \nL 268.908593 173.468533 \nL 273.625614 169.69616 \nL 278.497168 165.300793 \nL 283.477845 160.265037 \nL 288.508789 154.589387 \nL 293.516703 148.297972 \nL 298.413503 141.444253 \nL 303.097023 134.115862 \nL 307.453045 126.437558 \nL 311.358868 118.571231 \nL 314.688551 110.711896 \nL 317.319656 103.079071 \nL 319.14111 95.903599 \nL 320.061414 89.411031 \nL 320.016323 83.80347 \nL 318.974913 79.242482 \nL 316.943167 75.835953 \nL 313.964472 73.630817 \nL 310.116878 72.612974 \nL 305.507538 72.713774 \nL 300.265058 73.821662 \nL 294.530827 75.796602 \nL 288.450306 78.484857 \nL 282.165239 81.732157 \nL 275.807309 85.393869 \nL 269.493588 89.341811 \nL 263.323816 93.467791 \nL 257.379227 97.684482 \nL 251.722752 101.924326 \nL 246.400124 106.137293 \nL 241.441648 110.28806 \nL 236.864282 114.353086 \nL 232.673852 118.317872 \nL 228.867208 122.1746 \nL 225.434229 125.920162 \nL 222.359611 129.554645 \nL 219.624432 133.080139 \nL 217.207441 136.49992 \nL 215.086132 139.817838 \nL 213.237608 143.037929 \nL 211.639232 146.164175 \nL 210.269147 149.200356 \nL 209.106632 152.14995 \nL 208.132362 155.016129 \nL 207.32857 157.801745 \nL 206.67914 160.509371 \nL 205.787323 165.699481 \nL 205.361397 170.601717 \nL 205.331193 175.227774 \nL 205.649695 179.586003 \nL 206.290715 183.681245 \nL 207.246838 187.514221 \nL 208.527904 191.080372 \nL 209.297847 192.760099 \nL 210.160102 194.368083 \nL 211.120451 195.901336 \nL 212.185696 197.356035 \nL 213.363676 198.727367 \nL 214.663288 200.009356 \nL 216.094519 201.194635 \nL 217.668465 202.274194 \nL 219.397346 203.237081 \nL 221.294519 204.070064 \nL 223.374453 204.7572 \nL 225.65269 205.279408 \nL 228.145753 205.613929 \nL 230.870993 205.733773 \nL 233.846358 205.607093 \nL 237.090041 205.196583 \nL 240.620004 204.458866 \nL 244.453276 203.343995 \nL 248.605068 201.795142 \nL 253.087573 199.748611 \nL 257.90841 197.134379 \nL 263.068717 193.877417 \nL 268.560773 189.90008 \nL 274.365234 185.125949 \nL 280.447935 179.485459 \nL 286.756486 172.923614 \nL 293.216863 165.40984 \nL 299.730405 156.94978 \nL 306.17185 147.598072 \nL 312.389042 137.470613 \nL 318.205224 126.753838 \nL 323.424591 115.708006 \nL 327.841607 104.661461 \nL 331.253965 93.993547 \nL 333.478314 84.106079 \nL 334.367027 75.385859 \nL 333.82364 68.164091 \nL 331.814316 62.680112 \nL 328.37319 59.056935 \nL 323.600402 57.293742 \nL 317.653195 57.276014 \nL 310.73158 58.800137 \nL 303.061044 61.606008 \nL 294.875017 65.410796 \nL 286.399299 69.938039 \nL 277.839944 74.938728 \nL 269.375223 80.203569 \nL 261.15146 85.567309 \nL 253.282168 90.907299 \nL 245.849626 96.13847 \nL 238.908009 101.206499 \nL 232.487373 106.080803 \nL 226.597904 110.748102 \nL 221.23403 115.206932 \nL 216.378189 119.463382 \nL 212.004096 123.527857 \nL 208.079513 127.41282 \nL 204.568483 131.13124 \nL 201.433114 134.695638 \nL 198.634947 138.117538 \nL 196.13598 141.407163 \nL 193.899398 144.573377 \nL 190.074857 150.564339 \nL 186.905039 156.136007 \nL 178.046045 172.631189 \nL 175.502373 176.485418 \nL 174.147687 178.257551 \nL 172.718812 179.919736 \nL 171.201917 181.465473 \nL 169.583321 182.886834 \nL 167.849392 184.174277 \nL 165.986481 185.316405 \nL 163.980878 186.299709 \nL 161.818812 187.10829 \nL 159.486514 187.723564 \nL 156.970318 188.123952 \nL 154.256855 188.284572 \nL 151.333334 188.17697 \nL 148.187928 187.76891 \nL 144.810285 187.024272 \nL 141.192219 185.90314 \nL 137.328553 184.362144 \nL 133.218176 182.355183 \nL 128.865306 179.83463 \nL 124.280969 176.753227 \nL 119.484673 173.066729 \nL 114.506219 168.737495 \nL 109.387562 163.739067 \nL 104.184526 158.061697 \nL 98.968214 151.71858 \nL 93.825777 144.752347 \nL 88.86018 137.241015 \nL 84.188694 129.302379 \nL 79.93967 121.095545 \nL 76.247523 112.818351 \nL 73.245871 104.699729 \nL 71.059271 96.986767 \nL 69.794118 89.927268 \nL 69.52987 83.749621 \nL 70.311617 78.64304 \nL 72.145154 74.741137 \nL 74.995392 72.111786 \nL 78.788397 70.754833 \nL 83.416775 70.607689 \nL 88.747642 71.557262 \nL 94.632037 73.455723 \nL 100.914618 76.13727 \nL 107.442532 79.433346 \nL 114.072752 83.184666 \nL 120.677398 87.249521 \nL 127.147097 91.508128 \nL 133.392436 95.863906 \nL 139.343956 100.242428 \nL 144.950998 104.588953 \nL 150.179839 108.865212 \nL 155.011398 113.046124 \nL 159.438843 117.116689 \nL 163.4652 121.069276 \nL 167.10116 124.901417 \nL 170.363107 128.614079 \nL 173.27142 132.210361 \nL 175.849051 135.694537 \nL 178.120355 139.071443 \nL 180.11017 142.346029 \nL 181.843089 145.523092 \nL 183.342925 148.607137 \nL 184.632315 151.602323 \nL 185.732455 154.512414 \nL 186.662933 157.34081 \nL 188.084722 162.764489 \nL 189.020155 167.89448 \nL 189.56524 172.748178 \nL 189.791889 177.340138 \nL 189.750837 181.682606 \nL 189.474499 185.785809 \nL 188.97944 189.657885 \nL 188.268268 193.3046 \nL 187.330887 196.728761 \nL 186.145105 199.929243 \nL 184.676601 202.899586 \nL 182.878308 205.625838 \nL 181.837019 206.89028 \nL 180.689246 208.083435 \nL 179.424931 209.199822 \nL 178.032927 210.232633 \nL 176.500939 211.173446 \nL 174.815468 212.011929 \nL 172.961758 212.735457 \nL 170.923771 213.328676 \nL 168.684175 213.77299 \nL 166.224379 214.045976 \nL 163.524617 214.120707 \nL 160.564126 213.965009 \nL 157.321405 213.54067 \nL 153.774647 212.802587 \nL 149.902342 211.697991 \nL 145.684136 210.165749 \nL 141.101992 208.135954 \nL 136.141766 205.529973 \nL 130.795211 202.26124 \nL 125.062535 198.23718 \nL 118.955543 193.3627 \nL 112.501348 187.545777 \nL 105.74658 180.705653 \nL 98.761831 172.783966 \nL 91.645942 163.758837 \nL 84.529485 153.661266 \nL 77.576525 142.592091 \nL 70.983576 130.736875 \nL 64.974643 118.374523 \nL 59.791411 105.875279 \nL 55.678425 93.684003 \nL 52.863862 82.287213 \nL 51.538102 72.166128 \nL 51.832962 63.742684 \nL 53.805402 57.329007 \nL 57.428934 53.091453 \nL 62.594591 51.037488 \nL 69.121427 51.027399 \nL 76.774513 52.806534 \nL 85.287049 56.049141 \nL 94.382868 60.40357 \nL 103.796192 65.530635 \nL 113.286708 71.130406 \nL 122.649163 76.956629 \nL 131.717894 82.820684 \nL 140.367151 88.587967 \nL 148.508535 94.170047 \nL 156.086589 99.515129 \nL 163.073575 104.598653 \nL 169.464124 109.415024 \nL 175.270194 113.970929 \nL 180.516581 118.280212 \nL 185.237125 122.360248 \nL 189.471577 126.229422 \nL 193.263117 129.905583 \nL 196.656423 133.405083 \nL 199.696233 136.742344 \nL 202.426292 139.929659 \nL 207.123103 145.893297 \nL 211.055449 151.354798 \nL 219.207797 162.970478 \nL 222.332645 166.790838 \nL 223.949454 168.510073 \nL 225.62614 170.093574 \nL 227.379094 171.533229 \nL 229.223797 172.819327 \nL 231.174915 173.94044 \nL 233.24634 174.883239 \nL 235.451194 175.632332 \nL 237.801765 176.170135 \nL 240.309377 176.476706 \nL 242.98419 176.52969 \nL 245.834921 176.304273 \nL 248.868436 175.77331 \nL 252.089273 174.907532 \nL 255.499002 173.676013 \nL 259.095498 172.0469 \nL 262.872069 169.98848 \nL 266.816471 167.470635 \nL 270.90985 164.466851 \nL 275.125637 160.956653 \nL 279.428469 156.928632 \nL 283.773281 152.383861 \nL 288.104626 147.339612 \nL 292.356491 141.833012 \nL 296.45271 135.924268 \nL 300.30819 129.698786 \nL 303.831103 123.267762 \nL 306.926121 116.766416 \nL 309.498644 110.349566 \nL 311.459832 104.184451 \nL 312.732072 98.441043 \nL 313.254436 93.280784 \nL 312.987438 88.845031 \nL 311.916585 85.244806 \nL 310.054164 82.553151 \nL 307.439052 80.801358 \nL 304.134507 79.979358 \nL 300.224182 80.040085 \nL 295.806952 80.906756 \nL 290.990991 82.481916 \nL 285.887916 84.656841 \nL 280.607375 87.320052 \nL 275.252555 90.364328 \nL 269.916823 93.691679 \nL 264.681464 97.216413 \nL 259.614577 100.866363 \nL 254.770836 104.582882 \nL 250.192001 108.319875 \nL 245.907936 112.042247 \nL 241.937931 115.724157 \nL 238.292216 119.347249 \nL 234.973493 122.899011 \nL 231.978406 126.371359 \nL 229.298938 129.759437 \nL 226.923623 133.060691 \nL 224.838629 136.274104 \nL 223.028658 139.399646 \nL 221.4777 142.437851 \nL 220.169644 145.389544 \nL 219.088764 148.255629 \nL 218.220091 151.03694 \nL 217.549688 153.734125 \nL 217.064857 156.347602 \nL 216.754271 158.877483 \nL 216.608067 161.323542 \nL 216.617891 163.685161 \nL 216.776913 165.961285 \nL 217.079823 168.150375 \nL 217.522815 170.250332 \nL 218.103547 172.258429 \nL 218.821105 174.171226 \nL 219.675958 175.984449 \nL 220.669909 177.692881 \nL 221.80604 179.290215 \nL 223.088662 180.768879 \nL 224.523234 182.119856 \nL 226.116303 183.332463 \nL 227.875406 184.394118 \nL 229.808951 185.290074 \nL 231.926084 186.003147 \nL 234.236486 186.513417 \nL 236.750152 186.797952 \nL 239.477065 186.830519 \nL 242.426798 186.581388 \nL 245.608018 186.017184 \nL 249.027842 185.10091 \nL 252.691052 183.792177 \nL 256.59913 182.047742 \nL 260.749104 179.822479 \nL 265.132191 177.070894 \nL 269.732287 173.749329 \nL 274.524253 169.818972 \nL 279.472161 165.249795 \nL 284.527602 160.025378 \nL 289.628175 154.148517 \nL 294.696514 147.647256 \nL 299.64001 140.580802 \nL 304.351705 133.044379 \nL 308.712576 125.172 \nL 312.595491 117.135975 \nL 315.870864 109.141989 \nL 318.413936 101.419385 \nL 320.112999 94.206719 \nL 320.877988 87.733855 \nL 320.648237 82.20302 \nL 319.398419 77.771447 \nL 317.141738 74.53853 \nL 313.92981 72.539706 \nL 309.849205 71.747727 \nL 305.015161 72.080795 \nL 299.563303 73.415574 \nL 293.640509 75.602584 \nL 287.396014 78.481494 \nL 280.973575 81.894274 \nL 274.505288 85.695053 \nL 268.107329 89.756354 \nL 261.87751 93.972038 \nL 255.894477 98.257627 \nL 250.21816 102.548735 \nL 244.891162 106.79846 \nL 239.94069 110.974384 \nL 235.380788 115.055513 \nL 231.214611 119.029496 \nL 227.436645 122.890261 \nL 224.034723 126.636099 \nL 220.991811 130.268169 \nL 218.287536 133.789397 \nL 215.899467 137.203678 \nL 213.804145 140.515334 \nL 211.977913 143.728756 \nL 210.397542 146.8482 \nL 209.040712 149.877635 \nL 207.886342 152.820721 \nL 206.914824 155.680773 \nL 206.108165 158.460783 \nL 205.450055 161.163431 \nL 204.522752 166.346026 \nL 204.035985 171.244965 \nL 203.917869 175.873369 \nL 204.119098 180.241479 \nL 204.610394 184.356648 \nL 205.380287 188.223037 \nL 206.43344 191.840847 \nL 207.789619 195.205037 \nL 208.591543 196.788581 \nL 209.483314 198.303474 \nL 210.471584 199.74663 \nL 211.563987 201.1141 \nL 212.769173 202.40092 \nL 214.096844 203.600916 \nL 215.557794 204.706463 \nL 217.163945 205.708216 \nL 218.928378 206.594806 \nL 220.865356 207.35244 \nL 222.990304 207.96448 \nL 225.319785 208.41094 \nL 227.871411 208.667928 \nL 230.663688 208.707013 \nL 233.715785 208.494559 \nL 237.047165 207.991038 \nL 240.677075 207.150355 \nL 244.623823 205.919274 \nL 248.903805 204.237049 \nL 253.530213 202.035423 \nL 258.511358 199.239186 \nL 263.848588 195.767617 \nL 269.533683 191.537126 \nL 275.54581 186.465516 \nL 281.848015 180.478278 \nL 288.383493 173.517232 \nL 295.071826 165.551596 \nL 301.805752 156.591184 \nL 308.449118 146.7006 \nL 314.836755 136.012679 \nL 320.777361 124.738179 \nL 326.060083 113.168348 \nL 330.465304 101.666759 \nL 333.779422 90.648297 \nL 335.812469 80.545339 \nL 336.416429 71.764923 \nL 335.501591 64.64388 \nL 333.047828 59.410752 \nL 329.108686 56.162862 \nL 323.807303 54.86295 \nL 317.324899 55.355436 \nL 309.883876 57.397088 \nL 301.72851 60.69457 \nL 293.106161 64.941036 \nL 284.251295 69.845789 \nL 275.373694 75.154389 \nL 266.651162 80.658851 \nL 258.226396 86.199813 \nL 250.207151 91.662929 \nL 242.668731 96.972213 \nL 235.657876 102.082205 \nL 229.19729 106.970228 \nL 223.290239 111.629661 \nL 217.924895 116.064416 \nL 213.078201 120.284746 \nL 208.719152 124.304188 \nL 204.811527 128.137459 \nL 201.316068 131.799085 \nL 198.192177 135.302604 \nL 195.399199 138.660129 \nL 192.897362 141.882168 \nL 188.616119 147.953836 \nL 185.06739 153.570974 \nL 175.186 169.975141 \nL 172.368492 173.720001 \nL 170.872348 175.419284 \nL 169.297628 176.994739 \nL 167.629712 178.438317 \nL 165.854339 179.740357 \nL 163.957519 180.889373 \nL 161.925508 181.871846 \nL 159.744795 182.671966 \nL 157.402171 183.271399 \nL 154.884846 183.649038 \nL 152.180643 183.780776 \nL 149.27829 183.639333 \nL 146.167809 183.19416 \nL 142.841043 182.411468 \nL 139.292313 181.254476 \nL 135.519245 179.683886 \nL 131.523759 177.658803 \nL 127.313253 175.138032 \nL 122.90192 172.082062 \nL 118.312237 168.455711 \nL 113.57649 164.231534 \nL 108.738272 159.394015 \nL 103.853802 153.944466 \nL 98.992817 147.906258 \nL 94.238862 141.330019 \nL 89.688615 134.298043 \nL 85.450011 126.927013 \nL 81.638964 119.368064 \nL 78.374546 111.803206 \nL 75.772818 104.437667 \nL 73.939634 97.48805 \nL 72.963045 91.167384 \nL 72.906159 85.66849 \nL 73.801366 81.148277 \nL 75.646781 77.715128 \nL 78.405479 75.421656 \nL 82.007617 74.263624 \nL 86.355285 74.185056 \nL 91.329319 75.088209 \nL 96.797211 76.846405 \nL 102.621246 79.317612 \nL 108.66587 82.356833 \nL 114.803894 85.826026 \nL 120.921011 89.600983 \nL 126.918716 93.575298 \nL 132.715699 97.6617 \nL 138.247939 101.791481 \nL 143.46787 105.912711 \nL 148.342869 109.987817 \nL 152.853392 113.99089 \nL 156.990937 117.905171 \nL 160.755996 121.720771 \nL 164.156158 125.43275 \nL 167.20436 129.039634 \nL 169.91737 132.542203 \nL 172.314495 135.942632 \nL 174.416509 139.243876 \nL 176.244781 142.449223 \nL 177.820593 145.562035 \nL 179.164611 148.585552 \nL 180.296497 151.522804 \nL 181.234627 154.376557 \nL 181.995907 157.14928 \nL 182.595658 159.843159 \nL 183.047556 162.460103 \nL 183.363621 165.001747 \nL 183.628167 169.864375 \nL 183.453438 174.438883 \nL 182.879783 178.728775 \nL 181.925699 182.732461 \nL 181.306235 184.624794 \nL 180.589557 186.442007 \nL 179.772526 188.181777 \nL 178.850875 189.841078 \nL 177.819223 191.416057 \nL 176.671075 192.901889 \nL 175.398836 194.292602 \nL 173.993793 195.580876 \nL 172.446133 196.757804 \nL 170.744944 197.812623 \nL 168.878231 198.732388 \nL 166.832963 199.501608 \nL 164.595141 200.101848 \nL 162.149911 200.511252 \nL 159.481732 200.704078 \nL 156.574637 200.650158 \nL 153.412579 200.314407 \nL 149.979918 199.656333 \nL 146.262085 198.629692 \nL 142.24645 197.182314 \nL 137.923439 195.256259 \nL 133.287957 192.788458 \nL 128.341144 189.712085 \nL 123.092482 185.958846 \nL 117.562262 181.462556 \nL 111.784339 176.164217 \nL 105.809055 170.018815 \nL 99.706088 163.003854 \nL 93.566879 155.129356 \nL 87.506155 146.448553 \nL 81.661953 137.067935 \nL 76.193452 127.154701 \nL 71.276074 116.939229 \nL 67.093442 106.710096 \nL 63.82639 96.799931 \nL 61.639617 87.562029 \nL 60.667456 79.339501 \nL 61.000591 72.431553 \nL 62.675949 67.062587 \nL 65.671435 63.36027 \nL 69.906656 61.34674 \nL 75.249557 60.9443 \nL 81.527858 61.993475 \nL 88.543384 64.278947 \nL 96.08715 67.557752 \nL 103.953269 71.58487 \nL 111.95024 76.132976 \nL 119.908961 81.005143 \nL 127.687401 86.040756 \nL 135.172326 91.116081 \nL 142.2787 96.141244 \nL 148.947471 101.055137 \nL 155.142431 105.819683 \nL 160.846606 110.414198 \nL 166.058634 114.830504 \nL 170.789348 119.068875 \nL 175.05871 123.134898 \nL 178.893177 127.037162 \nL 182.323509 130.785622 \nL 185.382981 134.39053 \nL 188.105992 137.861747 \nL 190.526988 141.208385 \nL 192.67967 144.438594 \nL 194.596433 147.559519 \nL 197.843171 153.497345 \nL 200.489592 159.060966 \nL 203.742455 166.762166 \nL 207.523475 175.902811 \nL 209.446077 179.998723 \nL 211.525687 183.768977 \nL 213.856123 187.193927 \nL 215.144463 188.76713 \nL 216.530689 190.240159 \nL 218.027049 191.60591 \nL 219.646214 192.855712 \nL 221.401351 193.979095 \nL 223.306169 194.963482 \nL 225.374939 195.793857 \nL 227.622469 196.452392 \nL 230.064035 196.918034 \nL 232.715239 197.166073 \nL 235.591792 197.167683 \nL 238.709195 196.88949 \nL 242.082287 196.293183 \nL 245.724622 195.335236 \nL 249.64766 193.966835 \nL 253.859722 192.134117 \nL 258.364681 189.778854 \nL 263.160331 186.83982 \nL 268.23647 183.255006 \nL 273.572654 178.964957 \nL 279.135741 173.917478 \nL 284.877299 168.073763 \nL 290.731097 161.416096 \nL 296.611039 153.956665 \nL 302.40991 145.746914 \nL 307.999486 136.886286 \nL 313.232582 127.528574 \nL 317.947495 117.883947 \nL 321.975165 108.214582 \nL 325.148957 98.822449 \nL 327.31642 90.029056 \nL 328.351953 82.148848 \nL 328.168659 75.459753 \nL 326.727663 70.175722 \nL 324.043227 66.426454 \nL 320.182767 64.248033 \nL 315.261628 63.58604 \nL 309.433511 64.309691 \nL 302.878014 66.233423 \nL 295.787238 69.141405 \nL 288.353038 72.810698 \nL 280.756385 77.029821 \nL 273.15947 81.61152 \nL 265.700748 86.399532 \nL 258.492727 91.270388 \nL 251.621927 96.131706 \nL 245.150467 100.918197 \nL 239.118651 105.586883 \nL 233.54809 110.112112 \nL 228.444978 114.481057 \nL 223.803248 118.689863 \nL 219.607467 122.740619 \nL 215.835366 126.639054 \nL 212.459986 130.392844 \nL 209.451444 134.010473 \nL 206.778355 137.500463 \nL 204.408922 140.870956 \nL 202.311778 144.12941 \nL 200.45659 147.282542 \nL 198.814472 150.33629 \nL 196.062656 156.165715 \nL 193.861643 161.651603 \nL 192.046753 166.819397 \nL 186.215702 184.616348 \nL 184.654001 188.382555 \nL 182.897348 191.8716 \nL 180.871923 195.068752 \nL 179.734165 196.550257 \nL 178.499212 197.947876 \nL 177.155956 199.255835 \nL 175.692593 200.466994 \nL 174.09654 201.572607 \nL 172.354373 202.562025 \nL 170.45178 203.42235 \nL 168.373538 204.138063 \nL 166.103519 204.690554 \nL 163.624767 205.057629 \nL 160.919601 205.212957 \nL 157.969831 205.125472 \nL 154.757076 204.758758 \nL 151.263216 204.070467 \nL 147.471039 203.01181 \nL 143.365094 201.527228 \nL 138.932854 199.554388 \nL 134.166178 197.024653 \nL 129.063181 193.864301 \nL 123.630502 189.996786 \nL 117.886022 185.34635 \nL 111.861935 179.84339 \nL 105.608114 173.431804 \nL 99.195462 166.078521 \nL 92.718911 157.784872 \nL 86.299526 148.599128 \nL 80.084984 138.628673 \nL 74.247607 128.049599 \nL 68.979306 117.110723 \nL 64.482808 106.129094 \nL 60.95932 95.474596 \nL 58.593278 85.54314 \nL 57.535858 76.720752 \nL 57.889464 69.343689 \nL 59.695871 63.661816 \nL 62.930072 59.812793 \nL 67.501252 57.812335 \nL 73.260729 57.561902 \nL 80.015463 58.871258 \nL 87.544817 61.48976 \nL 95.61796 65.139748 \nL 104.009546 69.54603 \nL 112.512221 74.457852 \nL 120.945136 79.662194 \nL 129.158586 84.989092 \nL 137.035294 90.311011 \nL 144.489196 95.538325 \nL 151.462536 100.612757 \nL 157.922032 105.500552 \nL 163.854715 110.18594 \nL 169.26382 114.665633 \nL 174.165015 118.944428 \nL 178.583083 123.031875 \nL 182.549117 126.939896 \nL 186.098225 130.681164 \nL 189.267691 134.268069 \nL 192.095567 137.712096 \nL 194.619602 141.023534 \nL 196.876472 144.211343 \nL 200.727108 150.24537 \nL 203.903942 155.860949 \nL 207.883066 163.56213 \nL 211.455996 170.433511 \nL 213.858592 174.549915 \nL 216.424461 178.274633 \nL 217.80452 179.980263 \nL 219.267712 181.573977 \nL 220.827601 183.048575 \nL 222.497707 184.395324 \nL 224.29159 185.603761 \nL 226.222909 186.661416 \nL 228.305433 187.553558 \nL 230.553023 188.262892 \nL 232.979545 188.769234 \nL 235.598718 189.049199 \nL 238.423892 189.075895 \nL 241.4677 188.818655 \nL 244.741625 188.242865 \nL 248.255388 187.309913 \nL 252.016176 185.977381 \nL 256.027687 184.199543 \nL 260.288956 181.928288 \nL 264.792944 179.114656 \nL 269.524933 175.711091 \nL 274.460724 171.674605 \nL 279.564738 166.970891 \nL 284.788121 161.579552 \nL 290.067082 155.50014 \nL 295.321703 148.75885 \nL 300.45553 141.415068 \nL 305.356388 133.567 \nL 309.898692 125.354998 \nL 313.947631 116.961328 \nL 317.365233 108.605146 \nL 320.018208 100.531927 \nL 321.787015 92.99767 \nL 322.575182 86.24914 \nL 322.317914 80.502796 \nL 320.988558 75.925638 \nL 318.60207 72.621125 \nL 315.214808 70.622681 \nL 310.92057 69.895591 \nL 305.843587 70.346502 \nL 300.129341 71.838229 \nL 293.934563 74.206983 \nL 287.417572 77.279208 \nL 280.729897 80.88576 \nL 274.009775 84.872293 \nL 267.377801 89.105534 \nL 260.934546 93.475981 \nL 254.759946 97.897768 \nL 248.914016 102.306559 \nL 243.438493 106.656551 \nL 238.359042 110.916973 \nL 233.687696 115.068757 \nL 229.425355 119.101538 \nL 225.56412 123.011135 \nL 222.08943 126.797569 \nL 218.981933 130.463508 \nL 216.219054 134.01319 \nL 213.776305 137.451612 \nL 211.628331 140.784008 \nL 209.749735 144.015547 \nL 208.115698 147.151113 \nL 206.702438 150.195227 \nL 205.487536 153.151993 \nL 204.45014 156.025127 \nL 203.571084 158.817982 \nL 202.22003 164.174635 \nL 201.315546 169.242825 \nL 200.764727 174.039958 \nL 200.497794 178.580919 \nL 200.464944 182.878592 \nL 200.633351 186.944207 \nL 200.984608 190.787387 \nL 201.512756 194.416056 \nL 202.222917 197.836103 \nL 203.13056 201.050836 \nL 204.261355 204.060117 \nL 205.651585 206.859076 \nL 207.349113 209.436175 \nL 208.331584 210.635424 \nL 209.414831 211.770366 \nL 210.608815 212.836195 \nL 211.924569 213.826896 \nL 213.374274 214.734979 \nL 214.971327 215.551203 \nL 216.730419 216.2642 \nL 218.667579 216.86007 \nL 220.800226 217.321874 \nL 223.147165 217.629057 \nL 225.728552 217.756782 \nL 228.565792 217.675158 \nL 231.681339 217.348404 \nL 235.098377 216.733932 \nL 238.840323 215.781424 \nL 242.930118 214.431938 \nL 247.389209 212.617186 \nL 252.236177 210.259158 \nL 257.4849 207.270337 \nL 263.142181 203.554839 \nL 269.204745 199.010984 \nL 275.655574 193.535822 \nL 282.45963 187.0322 \nL 289.559073 179.418975 \nL 296.86829 170.644621 \nL 304.269368 160.704092 \nL 311.608785 149.657737 \nL 318.696449 137.649887 \nL 325.308437 124.923363 \nL 331.194585 111.824791 \nL 336.091772 98.795601 \nL 339.74268 86.344942 \nL 341.91858 75.004719 \nL 342.443273 65.271595 \nL 341.214133 57.546701 \nL 338.21616 52.085904 \nL 333.526146 48.972351 \nL 327.30562 48.117479 \nL 319.784202 49.288413 \nL 311.236559 52.153414 \nL 301.957191 56.333586 \nL 292.237055 61.44982 \nL 282.344796 67.158029 \nL 272.513974 73.170082 \nL 262.936256 79.261768 \nL 253.759679 85.270857 \nL 236.998374 96.652484 \nL 229.520367 101.928867 \nL 222.66845 106.909748 \nL 216.434369 111.601492 \nL 210.794892 116.019346 \nL 205.716137 120.183015 \nL 201.157156 124.11359 \nL 197.072787 127.831639 \nL 193.415861 131.356059 \nL 190.138868 134.703485 \nL 184.53982 140.921527 \nL 179.926128 146.570311 \nL 169.117652 160.4683 \nL 165.769699 164.08211 \nL 164.042497 165.680632 \nL 162.255513 167.130509 \nL 160.392183 168.422583 \nL 158.437128 169.546043 \nL 156.376107 170.488338 \nL 154.195993 171.235066 \nL 151.884812 171.769876 \nL 149.431864 172.074404 \nL 146.827894 172.128262 \nL 144.065344 171.909087 \nL 141.138708 171.392707 \nL 138.044985 170.553464 \nL 134.78421 169.364717 \nL 131.36011 167.799599 \nL 127.780846 165.83206 \nL 124.059828 163.438263 \nL 120.216604 160.598381 \nL 116.277701 157.29878 \nL 112.277457 153.534577 \nL 108.258678 149.312471 \nL 104.272988 144.653723 \nL 100.380804 139.596942 \nL 96.650761 134.200378 \nL 93.158452 128.543281 \nL 89.984372 122.725846 \nL 87.211089 116.867301 \nL 84.919622 111.101947 \nL 83.185246 105.57305 \nL 82.073055 100.424951 \nL 81.633572 95.794135 \nL 81.899005 91.800078 \nL 82.880468 88.537253 \nL 84.566591 86.069163 \nL 86.923719 84.425333 \nL 89.897689 83.601357 \nL 93.416963 83.56212 \nL 97.396817 84.247256 \nL 101.744057 85.578102 \nL 106.36185 87.465068 \nL 111.15422 89.814535 \nL 116.029841 92.534692 \nL 120.905042 95.539921 \nL 125.705882 98.753685 \nL 130.369301 102.110003 \nL 134.843557 105.553802 \nL 139.087997 109.040477 \nL 143.072358 112.534866 \nL 146.775778 116.009978 \nL 150.185592 119.445626 \nL 153.296078 122.827083 \nL 156.107196 126.143917 \nL 158.623409 129.388919 \nL 160.852582 132.557261 \nL 162.805028 135.645809 \nL 164.492668 138.652567 \nL 165.928325 141.576272 \nL 167.12514 144.416078 \nL 168.096101 147.17132 \nL 168.853667 149.841334 \nL 169.409478 152.42533 \nL 169.774146 154.922283 \nL 169.957092 157.330844 \nL 169.966446 159.649264 \nL 169.808987 161.87533 \nL 169.490099 164.006249 \nL 169.013779 166.03861 \nL 168.382637 167.968251 \nL 167.597939 169.790176 \nL 166.659644 171.498409 \nL 165.566465 173.085882 \nL 164.315939 174.544262 \nL 162.904515 175.863793 \nL 161.327649 177.033092 \nL 159.579943 178.038974 \nL 157.655286 178.866209 \nL 155.547051 179.497344 \nL 153.248332 179.912477 \nL 150.752228 180.089101 \nL 148.052219 180.001972 \nL 145.14261 179.623045 \nL 142.019065 178.921587 \nL 138.679299 177.864412 \nL 135.123848 176.416416 \nL 131.35701 174.541383 \nL 127.387919 172.203259 \nL 123.23173 169.367861 \nL 118.910921 166.005272 \nL 114.456625 162.092767 \nL 109.909876 157.618414 \nL 105.322744 152.585204 \nL 100.759039 147.015455 \nL 96.294504 140.955102 \nL 92.016192 134.477326 \nL 88.020872 127.6848 \nL 84.412189 120.70975 \nL 81.29665 113.71112 \nL 78.778429 106.868383 \nL 76.953287 100.371996 \nL 75.902123 94.411169 \nL 75.684859 89.160161 \nL 76.335284 84.764861 \nL 77.857697 81.331712 \nL 80.225731 78.920568 \nL 83.383636 77.542429 \nL 87.249866 77.162391 \nL 91.722476 77.706768 \nL 96.685686 79.073202 \nL 102.016783 81.141817 \nL 107.592761 83.786027 \nL 113.295985 86.881662 \nL 119.018652 90.313823 \nL 124.665862 93.981178 \nL 130.157366 97.798184 \nL 135.428145 101.695298 \nL 140.428046 105.618083 \nL 145.120756 109.525429 \nL 149.482347 113.387467 \nL 153.499575 117.18342 \nL 157.168111 120.899588 \nL 160.490822 124.527592 \nL 163.476168 128.062899 \nL 166.136755 131.503668 \nL 168.488096 134.849849 \nL 170.547544 138.102499 \nL 172.333417 141.263316 \nL 173.864284 144.334298 \nL 175.158413 147.317495 \nL 176.233337 150.214893 \nL 177.105531 153.028288 \nL 177.790195 155.759256 \nL 178.301085 158.409082 \nL 178.650429 160.978761 \nL 178.848877 163.468987 \nL 178.905478 165.880113 \nL 178.827698 168.212147 \nL 178.621445 170.464701 \nL 178.291106 172.636965 \nL 177.839593 174.727659 \nL 177.268385 176.734958 \nL 176.577583 178.656438 \nL 175.765946 180.488966 \nL 174.830932 182.228594 \nL 173.768748 183.870418 \nL 172.574372 185.408445 \nL 171.2416 186.835398 \nL 169.763087 188.142511 \nL 168.130392 189.319293 \nL 166.33404 190.353258 \nL 164.363602 191.22962 \nL 162.207809 191.930969 \nL 159.854698 192.436897 \nL 157.291822 192.723636 \nL 154.506517 192.763681 \nL 151.486288 192.525432 \nL 148.219273 191.972927 \nL 144.694891 191.065675 \nL 140.90464 189.758694 \nL 136.843094 188.002864 \nL 132.509164 185.745712 \nL 127.907574 182.932788 \nL 123.050618 179.509847 \nL 117.960153 175.425992 \nL 112.669743 170.637932 \nL 107.22689 165.115524 \nL 101.695065 158.848422 \nL 96.155395 151.853668 \nL 90.707505 144.183468 \nL 85.469149 135.932276 \nL 80.574193 127.241726 \nL 76.168536 118.301769 \nL 72.403772 109.346478 \nL 69.428683 100.643424 \nL 67.379166 92.476549 \nL 66.367437 85.123903 \nL 66.471941 78.833049 \nL 67.72934 73.798025 \nL 70.12997 70.141881 \nL 73.617471 67.907977 \nL 78.092839 67.061295 \nL 83.422208 67.498963 \nL 89.447192 69.067396 \nL 95.996335 71.582533 \nL 102.896194 74.849481 \nL 109.980928 78.679123 \nL 117.099666 82.900089 \nL 124.121431 87.365788 \nL 130.93769 91.957253 \nL 137.462941 96.58256 \nL 143.633771 101.174216 \nL 149.406878 105.685403 \nL 154.756533 110.085843 \nL 159.671763 114.357912 \nL 164.153571 118.493222 \nL 168.212302 122.489778 \nL 171.865301 126.349764 \nL 175.134888 130.077903 \nL 178.046648 133.680265 \nL 180.628047 137.163443 \nL 182.90732 140.53405 \nL 184.912624 143.798404 \nL 186.671394 146.962348 \nL 188.209882 150.031191 \nL 189.552846 153.009695 \nL 191.742701 158.712232 \nL 193.403978 164.098774 \nL 194.671434 169.19253 \nL 195.654004 174.01271 \nL 196.778585 180.765268 \nL 199.382459 197.984235 \nL 200.424002 202.822699 \nL 201.260327 205.818099 \nL 202.25088 208.632605 \nL 203.436054 211.265363 \nL 204.863407 213.710814 \nL 206.589897 215.956693 \nL 207.58629 216.998416 \nL 208.684353 217.981026 \nL 209.894995 218.899532 \nL 211.230227 219.747668 \nL 212.703255 220.517625 \nL 214.328573 221.19973 \nL 216.122055 221.782052 \nL 218.101032 222.249946 \nL 220.284344 222.585493 \nL 222.692366 222.766853 \nL 225.346983 222.767508 \nL 228.271492 222.555403 \nL 231.490407 222.091977 \nL 235.029119 221.331108 \nL 238.913372 220.218022 \nL 243.168479 218.688265 \nL 247.818222 216.666797 \nL 252.883302 214.067524 \nL 258.379296 210.79346 \nL 264.313958 206.738025 \nL 270.683812 201.787959 \nL 277.469957 195.828586 \nL 284.633127 188.752133 \nL 292.108203 180.469785 \nL 299.798519 170.927839 \nL 307.570728 160.127613 \nL 315.251215 148.147627 \nL 322.625434 135.164942 \nL 329.441788 121.470776 \nL 335.421385 107.474105 \nL 340.274584 93.687081 \nL 343.723629 80.68853 \nL 345.529501 69.06675 \nL 345.518949 59.349778 \nL 343.606762 51.93686 \nL 339.808744 47.047441 \nL 334.242274 44.700063 \nL 327.114087 44.725505 \nL 318.697964 46.80858 \nL 309.306815 50.546105 \nL 299.264228 55.506398 \nL 288.879764 61.278868 \nL 278.430586 67.507361 \nL 268.150214 73.906635 \nL 248.788963 86.438123 \nL 231.729463 97.913995 \nL 217.304119 108.061709 \nL 211.068733 112.652653 \nL 205.445952 116.949946 \nL 200.394107 120.978718 \nL 195.865883 124.76384 \nL 191.811016 128.328324 \nL 188.178331 131.692528 \nL 181.978768 137.886505 \nL 176.885985 143.449357 \nL 165.100956 156.801297 \nL 163.316782 158.544378 \nL 161.517563 160.140306 \nL 159.683254 161.582297 \nL 157.795637 162.862125 \nL 155.83819 163.970033 \nL 153.796007 164.894743 \nL 151.655749 165.623372 \nL 149.405668 166.141443 \nL 147.035679 166.432879 \nL 144.537497 166.480097 \nL 141.90484 166.264132 \nL 139.13373 165.764872 \nL 136.222836 164.961474 \nL 133.173929 163.832865 \nL 129.992387 162.358515 \nL 126.68778 160.519432 \nL 123.274475 158.299389 \nL 119.772281 155.686464 \nL 116.207019 152.674822 \nL 112.611046 149.266717 \nL 109.023592 145.474602 \nL 105.490843 141.323245 \nL 102.065661 136.851571 \nL 98.806906 132.114026 \nL 95.77819 127.181094 \nL 93.046071 122.138764 \nL 90.677716 117.08662 \nL 88.738003 112.134468 \nL 87.286331 107.397579 \nL 86.373287 102.990773 \nL 86.037451 99.021902 \nL 86.302704 95.58539 \nL 87.176279 92.756528 \nL 88.647822 90.587247 \nL 90.689585 89.103919 \nL 93.257729 88.307247 \nL 96.294611 88.174354 \nL 99.731869 88.662393 \nL 103.493907 89.713336 \nL 107.501501 91.259235 \nL 111.67525 93.227258 \nL 115.938606 95.544177 \nL 120.2203 98.139878 \nL 124.456163 100.94991 \nL 128.590254 103.917013 \nL 132.575442 106.991823 \nL 136.373419 110.132851 \nL 139.954378 113.306067 \nL 143.296347 116.48409 \nL 146.384369 119.645316 \nL 149.209571 122.77294 \nL 151.768188 125.854067 \nL 154.060613 128.878876 \nL 156.090511 131.839918 \nL 157.863998 134.731492 \nL 159.388916 137.549162 \nL 160.674211 140.289347 \nL 161.729396 142.949024 \nL 162.564109 145.525439 \nL 163.187759 148.015922 \nL 163.609234 150.417728 \nL 163.836689 152.727892 \nL 163.877374 154.943099 \nL 163.737529 157.059596 \nL 163.422307 159.073051 \nL 162.935732 160.978485 \nL 162.280701 162.770132 \nL 161.458989 164.441333 \nL 160.471306 165.984419 \nL 159.317358 167.390565 \nL 157.995936 168.649663 \nL 156.505038 169.750179 \nL 154.842002 170.679012 \nL 153.003695 171.421342 \nL 150.986728 171.960532 \nL 148.787715 172.278028 \nL 146.403597 172.353329 \nL 143.832012 172.164013 \nL 141.071767 171.685854 \nL 138.123355 170.893115 \nL 134.989584 169.759005 \nL 131.676285 168.256363 \nL 128.193121 166.358643 \nL 124.554444 164.04123 \nL 120.780223 161.283146 \nL 116.896963 158.069154 \nL 112.938584 154.392223 \nL 108.94714 150.256343 \nL 104.973286 145.679451 \nL 101.076362 140.69629 \nL 97.323971 135.360832 \nL 93.790868 129.747866 \nL 90.557128 123.953241 \nL 87.705441 118.092397 \nL 85.317685 112.296822 \nL 83.470838 106.708348 \nL 82.232569 101.471638 \nL 81.656834 96.725333 \nL 81.77994 92.59293 \nL 82.617569 89.174488 \nL 84.163087 86.540101 \nL 86.387411 84.726289 \nL 89.240472 83.735409 \nL 92.654082 83.538312 \nL 96.54596 84.079307 \nL 100.82437 85.282979 \nL 105.392949 87.061449 \nL 110.155308 89.321517 \nL 115.018985 91.970649 \nL 119.898631 94.921763 \nL 124.71823 98.096328 \nL 129.412487 101.426169 \nL 133.927377 104.854035 \nL 138.220036 108.333252 \nL 142.258155 111.826814 \nL 146.019037 115.306164 \nL 149.488438 118.749811 \nL 152.659303 122.142022 \nL 155.530518 125.47154 \nL 158.105696 128.730574 \nL 160.392076 131.913851 \nL 162.399521 135.017913 \nL 164.139667 138.040565 \nL 165.625185 140.980411 \nL 166.869179 143.83653 \nL 167.884685 146.608218 \nL 168.684286 149.294819 \nL 169.279795 151.895565 \nL 169.682036 154.409476 \nL 169.900675 156.835271 \nL 169.944103 159.171286 \nL 169.819368 161.415374 \nL 169.532137 163.564876 \nL 169.086679 165.616494 \nL 168.485884 167.56621 \nL 167.731283 169.409198 \nL 166.823094 171.139671 \nL 165.760278 172.750781 \nL 164.540605 174.234442 \nL 163.160738 175.581182 \nL 161.61633 176.779952 \nL 159.902148 177.817917 \nL 158.012226 178.680256 \nL 155.940036 179.349964 \nL 153.67872 179.80763 \nL 151.221377 180.031262 \nL 148.561401 179.996148 \nL 145.692923 179.674804 \nL 142.611333 179.037018 \nL 139.313924 178.05008 \nL 135.800655 176.679228 \nL 132.075056 174.888436 \nL 128.145281 172.641545 \nL 124.025265 169.903945 \nL 119.736014 166.644759 \nL 115.306922 162.839723 \nL 110.777056 158.474644 \nL 106.196311 153.549417 \nL 101.626202 148.082406 \nL 97.140167 142.114787 \nL 92.823144 135.714345 \nL 88.77013 128.978023 \nL 85.083621 122.032444 \nL 81.869817 115.031686 \nL 79.233625 108.151726 \nL 77.272734 101.581558 \nL 76.071226 95.511362 \nL 75.693304 90.119006 \nL 76.17796 85.55646 \nL 77.535212 81.938185 \nL 79.744498 79.333059 \nL 82.755501 77.76132 \nL 86.49129 77.196383 \nL 90.853453 77.571367 \nL 95.728457 78.788701 \nL 100.994543 80.731187 \nL 106.528451 83.272964 \nL 112.21127 86.289004 \nL 117.933188 89.662357 \nL 123.59677 93.289049 \nL 129.118989 97.080537 \nL 134.431982 100.96435 \nL 139.482859 104.883316 \nL 144.232788 108.793959 \nL 148.655607 112.664443 \nL 152.736163 116.472405 \nL 156.468536 120.202918 \nL 159.854324 123.846693 \nL 162.901002 127.398531 \nL 165.62046 130.856144 \nL 168.027703 134.21917 \nL 170.139776 137.488483 \nL 171.974836 140.66567 \nL 173.551421 143.752669 \nL 174.887862 146.751532 \nL 176.001831 149.664236 \nL 176.909998 152.492622 \nL 177.627792 155.238279 \nL 178.169234 157.902545 \nL 178.546824 160.486465 \nL 178.77149 162.990781 \nL 178.852567 165.415891 \nL 178.797803 167.761853 \nL 178.613377 170.028344 \nL 178.303947 172.214612 \nL 177.872678 174.319462 \nL 177.321306 176.341144 \nL 176.650166 178.277341 \nL 175.858249 180.125022 \nL 174.943242 181.880358 \nL 173.901564 183.538609 \nL 172.728406 185.093951 \nL 171.417767 186.539311 \nL 169.9625 187.866162 \nL 168.354349 189.064286 \nL 166.584019 190.121522 \nL 164.641249 191.023459 \nL 162.514915 191.753105 \nL 160.19318 192.290543 \nL 157.663682 192.612552 \nL 154.913812 192.692232 \nL 151.931051 192.498655 \nL 148.703452 191.996569 \nL 145.220239 191.14622 \nL 141.472576 189.903358 \nL 137.454553 188.219536 \nL 133.164385 186.042811 \nL 128.605857 183.319039 \nL 123.79004 179.993906 \nL 118.73725 176.015924 \nL 113.479155 171.340502 \nL 108.061004 165.935282 \nL 102.543716 159.786622 \nL 97.005594 152.907033 \nL 91.543348 145.342992 \nL 86.27191 137.182169 \nL 81.322702 128.55872 \nL 76.839885 119.65513 \nL 72.974371 110.698899 \nL 69.875657 101.952903 \nL 67.681953 93.69928 \nL 66.509451 86.217845 \nL 66.442062 79.761721 \nL 67.52304 74.533875 \nL 69.749859 70.668606 \nL 73.073179 68.221493 \nL 77.400253 67.169068 \nL 82.602177 67.418133 \nL 88.5239 68.822037 \nL 94.995578 71.200538 \nL 101.843746 74.359731 \nL 108.901193 78.109189 \nL 116.014654 82.274616 \nL 123.050108 86.705656 \nL 129.895666 91.279281 \nL 136.462436 95.899666 \nL 142.683789 100.495863 \nL 148.513515 105.018146 \nL 153.923357 109.433939 \nL 158.900231 113.723869 \nL 163.443418 117.878285 \nL 167.561929 121.894298 \nL 171.272109 125.773522 \nL 174.595558 129.520329 \nL 177.557388 133.1406 \nL 180.184784 136.64085 \nL 182.505859 140.027685 \nL 184.548763 143.307448 \nL 186.341019 146.486051 \nL 187.909026 149.56886 \nL 189.277737 152.560712 \nL 190.47044 155.46592 \nL 192.412073 161.031403 \nL 193.884462 166.291493 \nL 195.010689 171.267529 \nL 196.26124 178.237429 \nL 197.478561 186.684811 \nL 198.818924 196.020021 \nL 199.735679 201.026876 \nL 200.456734 204.1327 \nL 201.302343 207.058529 \nL 202.307809 209.806432 \nL 203.513986 212.375009 \nL 204.969316 214.757975 \nL 206.73206 216.942049 \nL 207.750217 217.952696 \nL 208.872812 218.903807 \nL 210.111054 219.790107 \nL 211.477287 220.604977 \nL 212.985082 221.34018 \nL 214.649341 221.985519 \nL 216.486372 222.528431 \nL 218.513978 222.953494 \nL 220.751497 223.241848 \nL 223.219823 223.370515 \nL 225.941365 223.311605 \nL 228.939934 223.031422 \nL 232.240513 222.489453 \nL 235.868889 221.637291 \nL 239.851052 220.417528 \nL 244.212363 218.762706 \nL 248.976331 216.594498 \nL 254.162949 213.823309 \nL 259.786475 210.348676 \nL 265.852549 206.060879 \nL 272.35456 200.844391 \nL 279.269186 194.583853 \nL 286.551273 187.173363 \nL 294.128113 178.529674 \nL 301.893753 168.60959 \nL 309.704039 157.430951 \nL 317.37353 145.095381 \nL 324.675775 131.80908 \nL 331.3486 117.896364 \nL 337.105649 103.79934 \nL 341.654818 90.057709 \nL 344.722624 77.265965 \nL 346.081884 66.010922 \nL 345.578461 56.799508 \nL 343.151869 49.992113 \nL 338.845391 45.757713 \nL 332.803096 44.061517 \nL 325.254399 44.687047 \nL 316.489402 47.284535 \nL 306.82989 51.431796 \nL 296.601128 56.692989 \nL 286.108341 62.664893 \nL 275.620097 69.005966 \nL 265.358838 75.448771 \nL 246.162616 87.929318 \nL 229.364668 99.261276 \nL 215.230157 109.240576 \nL 209.136902 113.748989 \nL 203.649146 117.967399 \nL 198.722872 121.921602 \nL 194.309248 125.636497 \nL 190.357141 129.134772 \nL 186.815007 132.436234 \nL 180.760183 138.512577 \nL 175.766277 143.963846 \nL 165.851412 155.147388 \nL 162.254248 158.649121 \nL 160.43513 160.177177 \nL 158.575709 161.547459 \nL 156.658341 162.751207 \nL 154.667088 163.778161 \nL 152.587663 164.616512 \nL 150.4074 165.252901 \nL 148.115287 165.672404 \nL 145.702072 165.858585 \nL 143.160412 165.793583 \nL 140.485121 165.45833 \nL 137.673472 164.832838 \nL 134.725591 163.896651 \nL 131.644903 162.629497 \nL 128.438667 161.012088 \nL 125.118549 159.027249 \nL 121.701227 156.661231 \nL 118.208984 153.905333 \nL 114.670235 150.757712 \nL 111.119937 147.225416 \nL 107.599815 143.326411 \nL 104.158277 139.091527 \nL 100.849929 134.566023 \nL 97.734686 129.810559 \nL 94.876291 124.901208 \nL 92.340323 119.928355 \nL 90.19166 114.994178 \nL 88.491527 110.20875 \nL 87.294307 105.684937 \nL 86.644375 101.532327 \nL 86.573158 97.850893 \nL 87.096855 94.725065 \nL 88.214965 92.218764 \nL 89.90983 90.372137 \nL 92.147324 89.200291 \nL 94.87853 88.694144 \nL 98.042329 88.823047 \nL 101.568542 89.53885 \nL 105.381425 90.780734 \nL 109.403102 92.480236 \nL 113.556776 94.565951 \nL 117.76941 96.967443 \nL 121.973887 99.618342 \nL 126.110481 102.458376 \nL 130.127734 105.434533 \nL 133.982806 108.501467 \nL 137.641366 111.621319 \nL 141.077121 114.763155 \nL 144.271133 117.902198 \nL 147.210948 121.018895 \nL 149.889695 124.098056 \nL 152.305137 127.127958 \nL 154.458763 130.09963 \nL 156.354961 133.006177 \nL 158.000237 135.84224 \nL 159.402564 138.603544 \nL 160.570789 141.286536 \nL 161.514155 143.888098 \nL 162.241901 146.405316 \nL 162.762931 148.835291 \nL 163.085566 151.174973 \nL 163.217344 153.421056 \nL 163.164888 155.569826 \nL 162.933802 157.617074 \nL 162.528618 159.557984 \nL 161.95277 161.387006 \nL 161.2086 163.097766 \nL 160.297388 164.68293 \nL 159.219406 166.134089 \nL 157.974008 167.441621 \nL 156.559726 168.594551 \nL 154.974406 169.580415 \nL 153.215383 170.385134 \nL 151.279662 170.992889 \nL 149.164188 171.386057 \nL 146.866132 171.545114 \nL 144.383243 171.448684 \nL 141.714278 171.073653 \nL 138.859497 170.395366 \nL 135.821249 169.388069 \nL 132.604639 168.025463 \nL 129.218266 166.281641 \nL 125.675072 164.132225 \nL 121.993181 161.555924 \nL 118.196835 158.536454 \nL 114.317213 155.06481 \nL 110.393183 151.141883 \nL 106.471828 146.78125 \nL 102.608635 142.011954 \nL 98.867233 136.880946 \nL 95.318523 131.454902 \nL 92.039092 125.820835 \nL 89.108904 120.085226 \nL 86.608174 114.371232 \nL 84.613633 108.813872 \nL 83.194334 103.553335 \nL 82.407401 98.726855 \nL 82.294056 94.459983 \nL 82.87641 90.858257 \nL 84.155407 88.000286 \nL 86.110166 85.933325 \nL 88.698864 84.671624 \nL 91.861066 84.197892 \nL 95.521202 84.467344 \nL 99.592876 85.41363 \nL 103.983502 86.955709 \nL 108.59881 89.004772 \nL 113.346945 91.470487 \nL 118.141817 94.266021 \nL 122.905616 97.311684 \nL 127.570451 100.537076 \nL 132.079188 103.882184 \nL 136.385601 107.297301 \nL 140.453962 110.74244 \nL 144.258256 114.186239 \nL 147.781135 117.604719 \nL 151.012747 120.979962 \nL 153.949508 124.298915 \nL 156.592906 127.552287 \nL 158.948404 130.733597 \nL 161.024418 133.838448 \nL 162.831426 136.863884 \nL 164.381215 139.80792 \nL 165.686236 142.669159 \nL 166.759071 145.446547 \nL 167.612015 148.139124 \nL 168.256738 150.745903 \nL 168.704035 153.265695 \nL 168.963628 155.697057 \nL 169.044041 158.038173 \nL 168.95251 160.286775 \nL 168.694931 162.440067 \nL 168.275841 164.494649 \nL 167.698416 166.446389 \nL 166.964499 168.290355 \nL 166.074636 170.020677 \nL 165.02813 171.630409 \nL 163.823109 173.1114 \nL 162.456611 174.454112 \nL 160.924688 175.647457 \nL 159.22253 176.678601 \nL 157.344609 177.53277 \nL 155.284885 178.193024 \nL 153.037019 178.640126 \nL 150.594669 178.852319 \nL 147.951847 178.805263 \nL 145.103342 178.471968 \nL 142.045253 177.822876 \nL 138.775633 176.826153 \nL 135.295243 175.448147 \nL 131.608438 173.654181 \nL 127.724186 171.409742 \nL 123.657212 168.682145 \nL 119.429202 165.442721 \nL 115.070093 161.669607 \nL 110.619254 157.351128 \nL 106.126527 152.489649 \nL 101.652962 147.10571 \nL 97.270986 141.242111 \nL 93.063875 134.967361 \nL 89.124272 128.377869 \nL 85.551626 121.598196 \nL 82.448442 114.778631 \nL 79.915453 108.089631 \nL 78.045921 101.713197 \nL 76.91958 95.831509 \nL 76.596726 90.614209 \nL 77.113237 86.205608 \nL 78.477115 82.713899 \nL 80.667091 80.203816 \nL 83.633521 78.693772 \nL 87.301435 78.157869 \nL 91.575441 78.532017 \nL 96.345784 79.722978 \nL 101.494905 81.618817 \nL 106.903813 84.099201 \nL 112.457648 87.044329 \nL 118.050195 90.341869 \nL 123.587041 93.891569 \nL 128.987528 97.607718 \nL 134.185509 101.419765 \nL 139.129211 105.271724 \nL 143.78039 109.120689 \nL 148.113019 112.93495 \nL 152.111723 116.691951 \nL 155.770106 120.376359 \nL 159.089084 123.97836 \nL 162.075327 127.492196 \nL 164.739841 130.91498 \nL 167.096719 134.2458 \nL 169.162084 137.485006 \nL 170.953193 140.633701 \nL 172.487712 143.693377 \nL 173.783143 146.665667 \nL 174.856371 149.552187 \nL 175.723328 152.35439 \nL 176.398744 155.073521 \nL 176.895982 157.710569 \nL 177.226922 160.266225 \nL 177.4019 162.740842 \nL 177.429682 165.13443 \nL 177.317466 167.446599 \nL 177.070896 169.676551 \nL 176.6941 171.823012 \nL 176.189724 173.884159 \nL 175.558977 175.857579 \nL 174.801681 177.740165 \nL 173.916306 179.527993 \nL 172.900026 181.216218 \nL 171.748755 182.79894 \nL 170.457196 184.268996 \nL 169.018891 185.617798 \nL 167.42628 186.835084 \nL 165.670769 187.908686 \nL 163.742821 188.824228 \nL 161.632074 189.564832 \nL 159.327499 190.110787 \nL 156.817607 190.439185 \nL 154.090723 190.523616 \nL 151.13536 190.333834 \nL 147.940677 189.835529 \nL 144.497102 188.99021 \nL 140.79709 187.755262 \nL 136.836085 186.084324 \nL 132.613693 183.928062 \nL 128.135082 181.235495 \nL 123.412612 177.956035 \nL 118.467676 174.042456 \nL 113.332713 169.454838 \nL 108.053193 164.165629 \nL 102.689549 158.165803 \nL 97.318653 151.471701 \nL 92.034581 144.132175 \nL 86.948289 136.235009 \nL 82.185766 127.911452 \nL 77.884333 119.337387 \nL 74.186885 110.729766 \nL 71.234193 102.337321 \nL 69.15571 94.425401 \nL 68.059669 87.256019 \nL 68.023665 81.065623 \nL 69.087086 76.043748 \nL 71.246449 72.316369 \nL 74.454582 69.936671 \nL 78.623763 68.884835 \nL 83.632377 69.07627 \nL 89.334128 70.376315 \nL 95.568507 72.618218 \nL 102.171136 75.621356 \nL 108.982963 79.207045 \nL 115.857544 83.210431 \nL 122.666095 87.488078 \nL 129.300406 91.921361 \nL 135.673782 96.416853 \nL 141.720526 100.904326 \nL 147.394348 105.333667 \nL 152.666135 109.671156 \nL 157.521396 113.895895 \nL 161.957651 117.996537 \nL 165.981944 121.968534 \nL 169.608568 125.811933 \nL 172.857075 129.529716 \nL 175.750586 133.126548 \nL 178.314397 136.607941 \nL 180.574842 139.97965 \nL 182.558423 143.247339 \nL 184.291128 146.416355 \nL 185.797942 149.491621 \nL 187.102499 152.477621 \nL 188.226854 155.378373 \nL 190.014593 160.938279 \nL 191.302842 166.196222 \nL 192.206021 171.172724 \nL 192.813795 175.885178 \nL 193.194442 180.348806 \nL 193.445706 186.607116 \nL 193.407108 192.376945 \nL 193.135076 197.694494 \nL 192.645 202.591419 \nL 191.919155 207.094326 \nL 191.281829 209.887656 \nL 190.497079 212.518827 \nL 189.536023 214.989217 \nL 188.361757 217.296802 \nL 186.927889 219.434708 \nL 185.176649 221.389025 \nL 184.160286 222.290292 \nL 183.036561 223.135538 \nL 181.793945 223.919322 \nL 180.419689 224.634827 \nL 178.899722 225.273553 \nL 177.218549 225.824961 \nL 175.359153 226.276034 \nL 173.302919 226.610752 \nL 171.029573 226.809471 \nL 168.517157 226.848191 \nL 165.742062 226.697686 \nL 162.67915 226.322541 \nL 159.301978 225.680036 \nL 155.583203 224.718965 \nL 151.495186 223.378405 \nL 147.010912 221.586556 \nL 142.105292 219.259795 \nL 136.756958 216.302235 \nL 130.95067 212.606118 \nL 124.680481 208.053589 \nL 117.9537 202.520536 \nL 110.795798 195.883262 \nL 103.25604 188.028905 \nL 95.413759 178.870294 \nL 87.384571 168.365485 \nL 79.3257 156.541231 \nL 71.439102 143.518159 \nL 63.970635 129.533203 \nL 57.203545 114.953031 \nL 51.444809 100.270873 \nL 47.003898 86.080316 \nL 44.16525 73.023698 \nL 43.157727 61.719804 \nL 44.126332 52.683674 \nL 47.111612 46.256583 \nL 52.041757 42.563938 \nL 58.739243 41.511304 \nL 66.940687 42.81781 \nL 76.325637 46.075409 \nL 86.548555 50.817267 \nL 97.268451 56.579781 \nL 108.17234 62.948007 \nL 118.990855 69.581372 \nL 139.552437 82.689577 \nL 157.819384 94.704221 \nL 173.343007 105.255829 \nL 186.140164 114.400341 \nL 191.598076 118.508347 \nL 196.491438 122.345086 \nL 200.872737 125.93733 \nL 204.795905 129.308868 \nL 211.480826 135.467779 \nL 216.952064 140.943806 \nL 227.564122 152.031431 \nL 231.296343 155.453122 \nL 233.159439 156.93476 \nL 235.048586 158.255069 \nL 236.982117 159.405871 \nL 238.976345 160.377599 \nL 241.045642 161.159289 \nL 243.20247 161.738618 \nL 245.457374 162.101954 \nL 247.81888 162.234467 \nL 250.293382 162.120281 \nL 252.884919 161.742722 \nL 255.594917 161.084691 \nL 258.42186 160.129133 \nL 261.3609 158.859699 \nL 264.403424 157.261576 \nL 267.536599 155.32251 \nL 270.742896 153.034035 \nL 273.999675 150.392903 \nL 277.278819 147.4026 \nL 280.546538 144.07503 \nL 283.763338 140.432053 \nL 286.884277 136.506903 \nL 289.85958 132.345182 \nL 292.635605 128.005279 \nL 295.156279 123.557945 \nL 297.364931 119.084921 \nL 299.20651 114.676511 \nL 300.630098 110.42805 \nL 301.591501 106.43557 \nL 302.05581 102.790902 \nL 301.999598 99.576654 \nL 301.412652 96.861646 \nL 300.29893 94.697286 \nL 298.676747 93.115247 \nL 296.578048 92.126704 \nL 294.046919 91.723124 \nL 291.137433 91.878495 \nL 287.911036 92.552534 \nL 284.433708 93.694453 \nL 280.773185 95.246945 \nL 276.996322 97.14989 \nL 273.166919 99.343474 \nL 269.343911 101.770732 \nL 265.580144 104.379249 \nL 261.921568 107.122255 \nL 258.406908 109.95903 \nL 255.0677 112.854927 \nL 251.928616 115.780998 \nL 249.007993 118.713434 \nL 246.318512 121.63293 \nL 243.867943 124.523944 \nL 241.659924 127.374039 \nL 239.694712 130.17325 \nL 237.969905 132.913538 \nL 236.481101 135.588321 \nL 235.222472 138.19206 \nL 234.187284 140.719918 \nL 233.368327 143.167516 \nL 232.758288 145.530674 \nL 232.350026 147.805249 \nL 232.136828 149.986938 \nL 232.112575 152.071181 \nL 232.271875 154.05299 \nL 232.610155 155.926854 \nL 233.123703 157.686627 \nL 233.809692 159.325402 \nL 234.666146 160.835399 \nL 235.691904 162.207866 \nL 236.886552 163.432952 \nL 238.250295 164.499608 \nL 239.78384 165.395475 \nL 241.488216 166.106813 \nL 243.36456 166.618443 \nL 245.413872 166.913689 \nL 247.636706 166.974454 \nL 250.032817 166.7813 \nL 252.600751 166.313648 \nL 255.337356 165.550133 \nL 258.237261 164.469064 \nL 261.292247 163.049152 \nL 264.490605 161.270406 \nL 267.816445 159.115328 \nL 271.24897 156.570397 \nL 274.761832 153.627768 \nL 278.322518 150.287267 \nL 281.891912 146.558502 \nL 285.424126 142.462999 \nL 288.866602 138.036166 \nL 292.16071 133.328766 \nL 295.242806 128.407748 \nL 298.045887 123.355908 \nL 300.501831 118.27037 \nL 302.54417 113.259496 \nL 304.111221 108.438413 \nL 305.149454 103.923274 \nL 305.616759 99.824768 \nL 305.485281 96.241531 \nL 304.743595 93.254087 \nL 303.397883 90.920277 \nL 301.472032 89.272476 \nL 299.006532 88.317051 \nL 296.056375 88.035932 \nL 292.688112 88.390015 \nL 288.976407 89.323779 \nL 285.000381 90.770511 \nL 280.840064 92.657553 \nL 276.573268 94.910894 \nL 272.272963 97.459017 \nL 268.005319 100.235664 \nL 263.828417 103.181591 \nL 259.791553 106.245408 \nL 255.935098 109.383748 \nL 252.290775 112.560869 \nL 248.88226 115.747936 \nL 245.72598 118.922121 \nL 242.832035 122.065648 \nL 240.205177 125.164855 \nL 237.845778 128.209359 \nL 235.750737 131.191273 \nL 233.914323 134.104613 \nL 232.328917 136.944742 \nL 230.985675 139.707994 \nL 229.875076 142.391279 \nL 228.987385 144.991864 \nL 228.313033 147.507134 \nL 227.842919 149.93442 \nL 227.568641 152.270862 \nL 227.482674 154.513288 \nL 227.578492 156.658106 \nL 227.850652 158.701174 \nL 228.294838 160.637713 \nL 228.907877 162.462212 \nL 229.687723 164.168279 \nL 230.633422 165.748541 \nL 231.745049 167.194513 \nL 233.023631 168.496459 \nL 234.471024 169.643242 \nL 236.089791 170.622181 \nL 237.883024 171.418928 \nL 239.854147 172.017316 \nL 242.006658 172.399283 \nL 244.343833 172.544801 \nL 246.868355 172.431869 \nL 249.581896 172.03663 \nL 252.484588 171.333595 \nL 255.574429 170.296039 \nL 258.846601 168.896619 \nL 262.292679 167.108278 \nL 265.89978 164.905459 \nL 269.649645 162.265705 \nL 273.517694 159.171656 \nL 277.472146 155.613462 \nL 281.473196 151.591502 \nL 285.472493 147.119343 \nL 289.412886 142.226674 \nL 293.228724 136.961948 \nL 296.846716 131.394241 \nL 300.187602 125.614 \nL 303.168593 119.732046 \nL 305.706652 113.876647 \nL 307.72243 108.188379 \nL 309.144667 102.813001 \nL 309.914693 97.892809 \nL 309.990561 93.5574 \nL 309.3504 89.914898 \nL 307.994489 87.044785 \nL 305.945869 84.993386 \nL 303.249309 83.772366 \nL 299.968741 83.360577 \nL 296.183523 83.708541 \nL 291.983854 84.744872 \nL 287.465906 86.383647 \nL 282.727097 88.531724 \nL 277.861872 91.095142 \nL 272.958306 93.984313 \nL 268.095551 97.117646 \nL 263.34225 100.423659 \nL 258.755765 103.841807 \nL 254.382127 107.32242 \nL 250.256522 110.825882 \nL 246.404187 114.321421 \nL 242.841521 117.785769 \nL 239.577342 121.201798 \nL 236.614167 124.557214 \nL 233.949442 127.843448 \nL 231.576683 131.054694 \nL 229.486516 134.187153 \nL 227.667575 137.238421 \nL 226.10727 140.206987 \nL 224.792435 143.091902 \nL 223.70985 145.892499 \nL 222.846663 148.608191 \nL 222.190716 151.238322 \nL 221.730801 153.782036 \nL 221.456831 156.238213 \nL 221.359978 158.605371 \nL 221.432749 160.881571 \nL 221.669031 163.064381 \nL 222.064113 165.150771 \nL 222.614679 167.137017 \nL 223.318787 169.018624 \nL 224.175824 170.790187 \nL 225.186464 172.445284 \nL 226.352598 173.976305 \nL 227.677263 175.374319 \nL 229.164542 176.628875 \nL 230.819457 177.727814 \nL 232.647833 178.657065 \nL 234.656128 179.400411 \nL 236.851224 179.939297 \nL 239.240169 180.252642 \nL 241.829863 180.316666 \nL 244.626638 180.104776 \nL 247.635793 179.58759 \nL 250.860976 178.733088 \nL 254.303473 177.506947 \nL 257.96135 175.873198 \nL 261.82844 173.795216 \nL 265.893228 171.237165 \nL 270.137594 168.166051 \nL 274.535464 164.554303 \nL 279.051511 160.383052 \nL 283.639894 155.64603 \nL 288.243307 150.353866 \nL 292.792418 144.538558 \nL 297.206019 138.257622 \nL 301.392033 131.597285 \nL 305.249653 124.673871 \nL 308.672687 117.632717 \nL 311.554187 110.643891 \nL 313.792101 103.89443 \nL 315.295648 97.577393 \nL 315.991781 91.878647 \nL 315.831058 86.962891 \nL 314.7921 82.960892 \nL 312.884111 79.959844 \nL 310.146938 77.998223 \nL 306.648744 77.065866 \nL 302.481481 77.108998 \nL 297.754854 78.038981 \nL 292.589411 79.743214 \nL 287.109599 82.096482 \nL 281.437497 84.971193 \nL 275.687544 88.245665 \nL 269.962704 91.809863 \nL 264.351966 95.568764 \nL 258.929152 99.443609 \nL 253.752798 103.371515 \nL 248.866847 107.304103 \nL 244.301915 111.205521 \nL 240.076914 115.050269 \nL 236.200794 118.821036 \nL 232.67433 122.506803 \nL 229.491808 126.101184 \nL 226.642579 129.601093 \nL 224.11241 133.005702 \nL 221.884661 136.31564 \nL 219.941272 139.532396 \nL 218.263556 142.657929 \nL 216.832855 145.694357 \nL 215.631023 148.643809 \nL 214.640819 151.508249 \nL 213.846178 154.289457 \nL 213.232395 156.988941 \nL 212.786267 159.607928 \nL 212.496149 162.147357 \nL 212.351992 164.607838 \nL 212.345349 166.989655 \nL 212.469345 169.292722 \nL 212.718651 171.516574 \nL 213.089439 173.6603 \nL 213.579339 175.72252 \nL 214.187386 177.70128 \nL 214.913978 179.594012 \nL 215.76083 181.397421 \nL 216.730939 183.107359 \nL 217.828547 184.718697 \nL 219.059099 186.225168 \nL 220.429212 187.619178 \nL 221.946634 188.891581 \nL 223.620197 190.031443 \nL 225.459752 191.025759 \nL 227.47608 191.859131 \nL 229.68079 192.513443 \nL 232.08614 192.967475 \nL 234.704841 193.196527 \nL 237.549745 193.172035 \nL 240.633454 192.861231 \nL 243.967817 192.226875 \nL 247.563251 191.227107 \nL 251.427888 189.815555 \nL 255.566519 187.941752 \nL 259.979275 185.552031 \nL 264.660071 182.591079 \nL 269.594775 179.004327 \nL 274.75914 174.74134 \nL 280.116594 169.760459 \nL 285.616021 164.034617 \nL 291.189694 157.558399 \nL 296.751744 150.355804 \nL 302.197511 142.488194 \nL 307.404217 134.06112 \nL 312.233447 125.228661 \nL 316.535785 116.193575 \nL 320.157761 107.201603 \nL 322.95089 98.52917 \nL 324.78218 90.464558 \nL 325.545094 83.284459 \nL 325.169411 77.228818 \nL 323.628701 72.478428 \nL 320.943969 69.138992 \nL 317.182976 67.234621 \nL 312.455115 66.711601 \nL 306.902769 67.45108 \nL 300.690367 69.287655 \nL 293.992733 72.03012 \nL 286.984089 75.480977 \nL 279.828846 79.452214 \nL 272.674739 83.776185 \nL 265.648455 88.311636 \nL 258.853626 92.945474 \nL 252.370667 97.591606 \nL 246.258065 102.187822 \nL 240.554578 106.691788 \nL 235.281914 111.076894 \nL 230.44761 115.328357 \nL 226.047813 119.439907 \nL 222.069893 123.411058 \nL 218.494723 127.245041 \nL 215.298647 130.947253 \nL 212.455118 134.524182 \nL 209.936024 137.98266 \nL 207.712729 141.329392 \nL 205.756876 144.570727 \nL 204.040981 147.712477 \nL 202.538847 150.759897 \nL 201.225849 153.71768 \nL 199.077504 159.380581 \nL 197.43455 164.729453 \nL 196.16374 169.787022 \nL 194.725323 176.867432 \nL 192.61262 189.385786 \nL 191.584533 194.901145 \nL 190.395289 199.959042 \nL 189.451315 203.085487 \nL 188.34014 206.01759 \nL 187.016613 208.752668 \nL 185.428194 211.282359 \nL 183.512529 213.590201 \nL 182.409167 214.65272 \nL 181.19482 215.648046 \nL 179.857731 216.569973 \nL 178.385006 217.410774 \nL 176.762529 218.160894 \nL 174.974872 218.808574 \nL 173.005235 219.339414 \nL 170.835392 219.735826 \nL 168.445676 219.976444 \nL 165.815018 220.035385 \nL 162.921041 219.881454 \nL 159.740272 219.477232 \nL 156.248473 218.778102 \nL 152.421161 217.731244 \nL 148.234365 216.274693 \nL 143.6657 214.336553 \nL 138.695843 211.834603 \nL 133.310502 208.67654 \nL 127.50295 204.761257 \nL 121.277268 199.981681 \nL 114.652249 194.229746 \nL 107.66606 187.40421 \nL 100.381307 179.421863 \nL 92.890344 170.232471 \nL 85.320007 159.837155 \nL 77.834954 148.308784 \nL 70.638299 135.811677 \nL 63.968133 122.616163 \nL 58.088619 109.102496 \nL 53.275013 95.748418 \nL 49.792812 83.096863 \nL 47.873085 71.704709 \nL 47.687158 62.079093 \nL 49.325326 54.613715 \nL 52.783706 49.539396 \nL 57.962335 46.900848 \nL 64.675033 46.564569 \nL 72.669058 48.253906 \nL 81.650586 51.600772 \nL 91.311391 56.200902 \nL 101.352677 61.661642 \nL 111.503382 67.635637 \nL 121.531959 73.839124 \nL 131.251918 80.056825 \nL 149.244809 91.984425 \nL 164.832757 102.790874 \nL 171.663413 107.725678 \nL 177.864423 112.359278 \nL 183.464032 116.710781 \nL 188.500216 120.80256 \nL 193.017197 124.657492 \nL 197.062694 128.297229 \nL 200.685825 131.741256 \nL 203.935544 135.006417 \nL 209.503432 141.054002 \nL 214.120676 146.522257 \nL 223.434722 157.891505 \nL 226.884883 161.515224 \nL 228.645051 163.113983 \nL 230.454265 164.561419 \nL 232.329806 165.848733 \nL 234.287537 166.965552 \nL 236.341964 167.899857 \nL 238.50627 168.637892 \nL 240.79228 169.164114 \nL 243.210364 169.461156 \nL 245.769285 169.509865 \nL 248.475945 169.289397 \nL 251.335084 168.777426 \nL 254.348852 167.950485 \nL 257.516318 166.784501 \nL 260.832881 165.255571 \nL 264.289598 163.340968 \nL 267.872467 161.020496 \nL 271.561667 158.278165 \nL 275.330809 155.10418 \nL 279.146285 151.497267 \nL 282.966766 147.467156 \nL 286.742979 143.037131 \nL 290.417865 138.246374 \nL 293.927221 133.151763 \nL 297.200989 127.828827 \nL 300.16518 122.371392 \nL 302.744519 116.889627 \nL 304.865689 111.506354 \nL 306.46108 106.351519 \nL 307.472685 101.555299 \nL 307.855883 97.240278 \nL 307.582688 93.513678 \nL 306.644102 90.460492 \nL 305.051238 88.138423 \nL 302.835145 86.575253 \nL 300.045234 85.768891 \nL 296.746533 85.689999 \nL 293.01607 86.286553 \nL 288.938725 87.489788 \nL 284.602984 89.220451 \nL 280.096979 91.394844 \nL 275.50504 93.929989 \nL 270.904986 96.747602 \nL 266.366163 99.776829 \nL 261.948291 102.955755 \nL 257.700966 106.231918 \nL 253.663761 109.562101 \nL 249.866751 112.911598 \nL 246.331348 116.253172 \nL 243.071309 119.565902 \nL 240.093858 122.834056 \nL 237.400788 126.046005 \nL 234.98956 129.193304 \nL 232.854281 132.269881 \nL 230.986617 135.271404 \nL 229.376559 138.194739 \nL 228.013106 141.037547 \nL 226.884831 143.797977 \nL 225.980327 146.474394 \nL 225.288585 149.065212 \nL 224.799278 151.568739 \nL 224.502981 153.983047 \nL 224.391332 156.305876 \nL 224.457139 158.534535 \nL 224.694455 160.665806 \nL 225.098605 162.695858 \nL 225.666208 164.620141 \nL 226.395146 166.433288 \nL 227.284541 168.128971 \nL 228.334699 169.699798 \nL 229.547034 171.137154 \nL 230.923977 172.431033 \nL 232.468873 173.569903 \nL 234.185835 174.540509 \nL 236.079576 175.32769 \nL 238.155207 175.91424 \nL 240.417972 176.28073 \nL 242.872952 176.405415 \nL 245.524685 176.264181 \nL 248.376692 175.830598 \nL 251.430954 175.076099 \nL 254.687231 173.970338 \nL 258.142314 172.481823 \nL 261.78914 170.578839 \nL 265.61581 168.230759 \nL 269.604513 165.409821 \nL 273.730398 162.093375 \nL 277.960474 158.266698 \nL 282.252597 153.926216 \nL 286.554714 149.083082 \nL 290.804438 143.766853 \nL 294.929244 138.028832 \nL 298.847356 131.944642 \nL 302.469554 125.61533 \nL 305.701985 119.166549 \nL 308.450007 112.74514 \nL 310.622878 106.513008 \nL 312.139034 100.638408 \nL 312.93154 95.285308 \nL 312.953073 90.601935 \nL 312.179927 86.710084 \nL 310.614424 83.696457 \nL 308.285481 81.60753 \nL 305.247109 80.448396 \nL 301.575129 80.185651 \nL 297.362412 80.753608 \nL 292.713266 82.062717 \nL 287.737554 84.008813 \nL 282.545136 86.481901 \nL 277.241103 89.373732 \nL 271.921958 92.583468 \nL 266.673008 96.021386 \nL 261.566863 99.610799 \nL 256.662844 103.288461 \nL 252.007253 107.003945 \nL 247.634196 110.718308 \nL 243.56679 114.402422 \nL 239.818592 118.035242 \nL 236.395109 121.602101 \nL 233.295304 125.09326 \nL 230.512987 128.502619 \nL 228.0381 131.826693 \nL 225.857832 135.06381 \nL 223.95758 138.213474 \nL 222.321764 141.275933 \nL 220.934472 144.251796 \nL 219.779997 147.14185 \nL 218.843247 149.946856 \nL 218.110054 152.667431 \nL 217.567406 155.303994 \nL 217.203611 157.856657 \nL 217.008398 160.325232 \nL 216.972981 162.709139 \nL 217.09009 165.007361 \nL 217.353971 167.218417 \nL 217.760373 169.340281 \nL 218.306521 171.370305 \nL 218.991076 173.305134 \nL 219.814093 175.140626 \nL 220.776973 176.871698 \nL 221.882412 178.492204 \nL 223.134339 179.99477 \nL 224.537853 181.37061 \nL 226.099143 182.609325 \nL 227.825407 183.698664 \nL 229.724726 184.624267 \nL 231.805932 185.369403 \nL 234.078422 185.914688 \nL 236.551931 186.23779 \nL 239.236214 186.313176 \nL 242.140683 186.111884 \nL 245.273911 185.6014 \nL 248.64301 184.745645 \nL 252.252882 183.505187 \nL 256.105287 181.837744 \nL 260.197737 179.699068 \nL 264.522176 177.044379 \nL 269.063505 173.830453 \nL 273.797952 170.018463 \nL 278.691327 165.577732 \nL 283.697364 160.49036 \nL 288.756213 154.756614 \nL 293.793397 148.400805 \nL 298.719467 141.477087 \nL 303.430693 134.074411 \nL 307.811146 126.319562 \nL 311.736304 118.377136 \nL 315.078433 110.445379 \nL 317.713456 102.747343 \nL 319.528967 95.517386 \nL 320.432603 88.984099 \nL 320.359863 83.351742 \nL 319.280226 78.782906 \nL 317.200739 75.385137 \nL 314.166426 73.203789 \nL 310.257402 72.222181 \nL 305.583109 72.368375 \nL 300.274483 73.527357 \nL 294.475068 75.555784 \nL 288.332188 78.297089 \nL 281.989024 81.594762 \nL 275.57829 85.302664 \nL 269.217668 89.291743 \nL 263.007111 93.453464 \nL 257.027777 97.700557 \nL 251.342266 101.965815 \nL 245.995826 106.19973 \nL 241.018154 110.36756 \nL 236.425552 114.446362 \nL 232.223178 118.422206 \nL 228.407227 122.287779 \nL 224.966954 126.040419 \nL 221.886487 129.680583 \nL 219.146375 133.210666 \nL 216.724904 136.63421 \nL 214.599157 139.955262 \nL 212.745865 143.178042 \nL 211.142077 146.306672 \nL 209.765648 149.345039 \nL 208.595609 152.296722 \nL 207.612409 155.164992 \nL 206.798076 157.952783 \nL 206.136302 160.662737 \nL 205.213664 165.85831 \nL 204.747549 170.767642 \nL 204.666285 175.403209 \nL 204.921168 179.774378 \nL 205.484024 183.887324 \nL 206.345071 187.744546 \nL 207.511311 191.343958 \nL 209.005555 194.677338 \nL 209.887035 196.239491 \nL 210.866091 197.728097 \nL 211.949969 199.139236 \nL 213.146943 200.467968 \nL 214.466343 201.708155 \nL 215.91859 202.852245 \nL 217.515222 203.89098 \nL 219.268916 204.813115 \nL 221.193503 205.605027 \nL 223.30395 206.250318 \nL 225.61632 206.729313 \nL 228.147681 207.018541 \nL 230.915952 207.090122 \nL 233.939655 206.911143 \nL 237.23757 206.442983 \nL 240.828205 205.640716 \nL 244.729109 204.452558 \nL 248.955909 202.819554 \nL 253.521055 200.67561 \nL 258.432202 197.948062 \nL 263.69019 194.559114 \nL 269.286556 190.428392 \nL 275.200607 185.477077 \nL 281.396077 179.633914 \nL 287.81757 172.843458 \nL 294.386986 165.076591 \nL 301.000488 156.342985 \nL 307.526517 146.70459 \nL 313.805749 136.288278 \nL 319.653745 125.295107 \nL 324.867168 114.002889 \nL 329.233965 102.758848 \nL 332.547277 91.960218 \nL 334.622114 82.022777 \nL 335.312848 73.34071 \nL 334.528903 66.244121 \nL 332.245857 60.962331 \nL 328.509936 57.600873 \nL 323.43474 56.136622 \nL 317.190829 56.431536 \nL 309.990034 58.26051 \nL 302.06721 61.346474 \nL 293.662125 65.395253 \nL 285.003887 70.124742 \nL 276.29911 75.285021 \nL 267.724428 80.669377 \nL 259.422962 86.117254 \nL 251.504072 91.5117 \nL 244.045433 96.773387 \nL 237.096573 101.853339 \nL 230.683131 106.725562 \nL 224.811268 111.380501 \nL 219.47188 115.819627 \nL 214.644379 120.051224 \nL 210.299958 124.087292 \nL 206.404313 127.941398 \nL 202.919826 131.627231 \nL 199.807296 135.15776 \nL 197.027243 138.544736 \nL 194.540884 141.798459 \nL 192.31081 144.927754 \nL 188.479307 150.841288 \nL 185.273995 156.329171 \nL 177.340828 170.43009 \nL 174.708268 174.337864 \nL 173.317542 176.131715 \nL 171.857234 177.812169 \nL 170.312958 179.37266 \nL 168.670614 180.80517 \nL 166.916294 182.100085 \nL 165.036203 183.245933 \nL 163.016623 184.229161 \nL 160.84391 185.03388 \nL 158.504562 185.641578 \nL 155.985328 186.030841 \nL 153.273396 186.177091 \nL 150.356687 186.052354 \nL 147.224249 185.625109 \nL 143.866773 184.860249 \nL 140.27727 183.719247 \nL 136.451912 182.160565 \nL 132.391058 180.14047 \nL 128.100486 177.614293 \nL 123.592811 174.5384 \nL 118.889051 170.872822 \nL 114.020336 166.584792 \nL 109.029576 161.65318 \nL 103.972999 156.073694 \nL 98.921312 149.864696 \nL 93.960226 143.073072 \nL 89.18999 135.779423 \nL 84.723685 128.101642 \nL 80.683965 120.19566 \nL 77.198068 112.25236 \nL 74.391284 104.489797 \nL 72.379177 97.140751 \nL 71.259191 90.436379 \nL 71.102666 84.587791 \nL 71.948238 79.768238 \nL 73.797604 76.098622 \nL 76.614373 73.638835 \nL 80.326177 72.38614 \nL 84.829852 72.280628 \nL 89.998826 73.216216 \nL 95.691885 75.055014 \nL 101.762042 77.642564 \nL 108.064716 80.821613 \nL 114.464494 84.443137 \nL 120.840064 88.37394 \nL 127.087334 92.500719 \nL 133.120854 96.731452 \nL 138.873865 100.994524 \nL 144.297272 105.2366 \nL 149.35796 109.419793 \nL 154.03671 113.518669 \nL 158.325952 117.517419 \nL 162.227568 121.407351 \nL 165.750822 125.184844 \nL 168.9105 128.84971 \nL 171.725297 132.403971 \nL 174.216465 135.850914 \nL 176.406679 139.194512 \nL 178.319148 142.438934 \nL 179.976905 145.588323 \nL 181.40228 148.646611 \nL 182.616503 151.617448 \nL 183.639438 154.504167 \nL 184.489399 157.309762 \nL 185.183053 160.036931 \nL 186.159659 165.265375 \nL 186.669014 170.205775 \nL 186.785378 174.870907 \nL 186.559743 179.270369 \nL 186.022271 183.410576 \nL 185.184469 187.29429 \nL 184.040856 190.919738 \nL 182.570003 194.279144 \nL 181.700914 195.854485 \nL 180.734927 197.35651 \nL 179.664957 198.78141 \nL 178.48289 200.124388 \nL 177.179565 201.379462 \nL 175.74473 202.539262 \nL 174.167022 203.594764 \nL 172.433939 204.534988 \nL 170.531831 205.346638 \nL 168.445911 206.013685 \nL 166.160292 206.516916 \nL 163.658074 206.833377 \nL 160.92149 206.935806 \nL 157.932128 206.791988 \nL 154.671286 206.364115 \nL 151.120457 205.608153 \nL 147.262014 204.473297 \nL 143.080112 202.901633 \nL 138.561913 200.828102 \nL 133.699157 198.181018 \nL 128.490113 194.883365 \nL 122.942015 190.855211 \nL 117.07391 186.017592 \nL 110.919958 180.298273 \nL 104.532947 173.639684 \nL 97.987863 166.009101 \nL 91.385011 157.410867 \nL 84.85215 147.899741 \nL 78.544826 137.593701 \nL 72.644059 126.683734 \nL 67.350653 115.437394 \nL 62.875557 104.192821 \nL 59.426421 93.340998 \nL 57.191281 83.29586 \nL 56.321072 74.455135 \nL 56.913723 67.157953 \nL 59.002289 61.647221 \nL 62.549656 58.044564 \nL 67.450769 56.343181 \nL 73.542164 56.419185 \nL 80.617036 58.057884 \nL 88.44325 60.988116 \nL 96.781506 64.917379 \nL 105.401279 69.561763 \nL 114.093125 74.667262 \nL 122.676713 80.021863 \nL 131.004824 85.45946 \nL 138.963989 90.857934 \nL 146.472694 96.133511 \nL 153.477988 101.233613 \nL 159.951325 106.12956 \nL 165.884158 110.809846 \nL 171.283705 115.274613 \nL 176.169117 119.53132 \nL 180.568144 123.591491 \nL 184.51437 127.468474 \nL 188.044948 131.17592 \nL 191.198826 134.726847 \nL 194.015386 138.133128 \nL 196.533436 141.405225 \nL 198.790491 144.552115 \nL 202.662522 150.499185 \nL 205.891855 156.019465 \nL 213.814164 170.222458 \nL 216.419394 174.170114 \nL 217.792389 175.985893 \nL 219.232293 177.689945 \nL 220.75351 179.276002 \nL 222.370139 180.736397 \nL 224.096087 182.061889 \nL 225.945149 183.241444 \nL 227.931053 184.261999 \nL 230.06747 185.108202 \nL 232.36797 185.762134 \nL 234.845921 186.203032 \nL 237.514309 186.407002 \nL 240.385483 186.346793 \nL 243.47078 185.991589 \nL 246.780038 185.306966 \nL 250.320965 184.254974 \nL 254.098313 182.79448 \nL 258.11292 180.881887 \nL 262.360488 178.472262 \nL 266.830233 175.521148 \nL 271.503299 171.987009 \nL 276.351099 167.834598 \nL 281.333578 163.039195 \nL 286.397628 157.59168 \nL 291.475779 151.504316 \nL 296.485504 144.816694 \nL 301.329368 137.601254 \nL 305.896465 129.967403 \nL 310.065276 122.063074 \nL 313.708274 114.072641 \nL 316.698172 106.210209 \nL 318.915549 98.708159 \nL 320.257211 91.80137 \nL 320.644475 85.708943 \nL 320.03025 80.615738 \nL 318.403943 76.656718 \nL 315.793375 73.906673 \nL 312.263417 72.376906 \nL 307.911428 72.019175 \nL 302.860185 72.735758 \nL 297.24929 74.393439 \nL 291.226133 76.838899 \nL 284.937403 79.913158 \nL 278.521912 83.463429 \nL 272.105194 87.351518 \nL 265.795959 91.458745 \nL 259.684304 95.687824 \nL 253.841408 99.96243 \nL 248.320353 104.225208 \nL 243.157713 108.43504 \nL 238.375595 112.564013 \nL 233.983881 116.594495 \nL 229.982478 120.51652 \nL 226.363433 124.32564 \nL 223.112855 128.021154 \nL 220.212601 131.604791 \nL 217.641687 135.079751 \nL 215.377476 138.449998 \nL 213.396623 141.719776 \nL 211.675826 144.893325 \nL 210.192389 147.974709 \nL 208.92465 150.96771 \nL 207.852272 153.875778 \nL 206.956439 156.702027 \nL 206.219975 159.449279 \nL 205.164903 164.716561 \nL 204.583314 169.694706 \nL 204.397178 174.397252 \nL 204.551937 178.834629 \nL 205.014019 183.014264 \nL 205.768557 186.940226 \nL 206.817606 190.612469 \nL 208.178985 194.025576 \nL 208.986538 195.631337 \nL 209.885765 197.166833 \nL 210.883201 198.628875 \nL 211.98638 200.013389 \nL 213.20386 201.315263 \nL 214.545263 202.528151 \nL 216.021302 203.644238 \nL 217.643819 204.653968 \nL 219.425802 205.545716 \nL 221.3814 206.305416 \nL 223.52591 206.916131 \nL 225.875722 207.357551 \nL 228.448231 207.605438 \nL 231.261665 207.631008 \nL 234.334838 207.400289 \nL 237.686758 206.873445 \nL 241.336098 206.004152 \nL 245.300445 204.739063 \nL 249.595301 203.01753 \nL 254.232771 200.77167 \nL 259.21986 197.927066 \nL 264.556348 194.404332 \nL 270.232229 190.121926 \nL 276.22465 185.000566 \nL 282.494473 178.969679 \nL 288.982622 171.976112 \nL 295.606537 163.99519 \nL 302.257138 155.043623 \nL 308.797078 145.193283 \nL 315.061024 134.58375 \nL 320.858891 123.430961 \nL 325.982742 112.028462 \nL 330.217782 100.738049 \nL 333.357068 89.96793 \nL 335.218765 80.138852 \nL 335.663812 71.64231 \nL 334.611298 64.797502 \nL 332.048759 59.815909 \nL 328.035387 56.780773 \nL 322.697326 55.645732 \nL 316.215976 56.251825 \nL 308.811318 58.357852 \nL 300.723169 61.67671 \nL 292.193125 65.910198 \nL 283.44934 70.777178 \nL 274.695365 76.032252 \nL 266.103347 81.475189 \nL 257.811166 86.952593 \nL 249.922736 92.35443 \nL 242.510489 97.60749 \nL 235.619185 102.667824 \nL 229.270301 107.51338 \nL 223.466497 112.137527 \nL 218.195823 116.543801 \nL 213.435448 120.741861 \nL 209.154852 124.744554 \nL 205.318466 128.565931 \nL 201.887789 132.21989 \nL 198.823033 135.719428 \nL 196.084372 139.076212 \nL 193.632854 142.300398 \nL 189.443406 148.384009 \nL 185.979536 154.022474 \nL 180.304349 164.078604 \nL 177.713113 168.515403 \nL 175.077055 172.547975 \nL 173.700106 174.405327 \nL 172.263087 176.150764 \nL 170.751147 177.778347 \nL 169.149852 179.280791 \nL 167.445066 180.649287 \nL 165.622851 181.873299 \nL 163.669419 182.940345 \nL 161.571107 183.835746 \nL 159.314407 184.542373 \nL 156.88605 185.040369 \nL 154.273169 185.30689 \nL 151.463528 185.315878 \nL 148.445863 185.037865 \nL 145.210345 184.439915 \nL 141.749154 183.485682 \nL 138.057258 182.135741 \nL 134.133311 180.348179 \nL 129.980781 178.079683 \nL 125.609255 175.287142 \nL 121.035902 171.929902 \nL 116.287068 167.972887 \nL 111.399923 163.390475 \nL 106.424037 158.171275 \nL 101.422651 152.323514 \nL 96.473468 145.880747 \nL 91.66866 138.907227 \nL 87.113729 131.502138 \nL 82.925007 123.801613 \nL 79.225575 115.977449 \nL 76.139562 108.231654 \nL 73.78506 100.786407 \nL 72.266203 93.869813 \nL 71.665149 87.698798 \nL 72.034938 82.461395 \nL 73.394273 78.300909 \nL 75.724928 75.304782 \nL 78.972365 73.499653 \nL 83.049332 72.853526 \nL 87.842146 73.283897 \nL 93.218623 74.670378 \nL 99.036764 76.869149 \nL 105.153082 79.727196 \nL 111.429901 83.094355 \nL 117.741045 86.832336 \nL 123.975762 90.820389 \nL 130.040911 94.957865 \nL 135.861669 99.164485 \nL 141.381028 103.378849 \nL 146.558481 107.55599 \nL 151.368161 111.664584 \nL 155.796734 115.684084 \nL 159.841212 119.602127 \nL 163.506883 123.41235 \nL 166.805368 127.112567 \nL 169.752936 130.703376 \nL 172.369037 134.187115 \nL 174.675092 137.567118 \nL 176.693487 140.847167 \nL 178.446796 144.031166 \nL 179.957163 147.122906 \nL 181.245846 150.125968 \nL 182.332885 153.04365 \nL 183.236883 155.878934 \nL 183.974857 158.63449 \nL 184.56217 161.312702 \nL 185.337862 166.445315 \nL 185.653631 171.290748 \nL 185.574085 175.859327 \nL 185.140922 180.157856 \nL 184.375158 184.189216 \nL 183.279014 187.951552 \nL 181.837273 191.436835 \nL 180.977475 193.070859 \nL 180.018021 194.628657 \nL 178.95234 196.106352 \nL 177.772805 197.499064 \nL 176.470722 198.800748 \nL 175.036306 200.003965 \nL 173.458667 201.099621 \nL 171.725789 202.076693 \nL 169.824548 202.92186 \nL 167.740716 203.619124 \nL 165.45903 204.14935 \nL 162.963278 204.489757 \nL 160.236468 204.613372 \nL 157.261062 204.488441 \nL 154.019342 204.077821 \nL 150.493898 203.338427 \nL 146.668327 202.220768 \nL 142.528128 200.668675 \nL 138.061921 198.61938 \nL 133.262958 196.004122 \nL 128.131049 192.749511 \nL 122.674886 188.779993 \nL 116.914775 184.021704 \nL 110.885741 178.408086 \nL 104.640826 171.88752 \nL 98.254358 164.432972 \nL 91.824774 156.053448 \nL 85.476442 146.806341 \nL 79.359728 136.809028 \nL 73.648594 126.24752 \nL 68.534983 115.379118 \nL 64.21963 104.526297 \nL 60.899339 94.059709 \nL 58.751746 84.37025 \nL 57.919113 75.832856 \nL 58.49354 68.767523 \nL 60.50609 63.404714 \nL 63.921815 59.862214 \nL 68.641783 58.138277 \nL 74.51183 58.121518 \nL 81.336399 59.614556 \nL 88.89527 62.3654 \nL 96.96047 66.099733 \nL 105.311352 70.548995 \nL 113.746301 75.470717 \nL 122.090615 80.66039 \nL 130.200572 85.955955 \nL 137.964348 91.236528 \nL 145.300576 96.417632 \nL 152.155341 101.444828 \nL 158.498356 106.286907 \nL 164.318872 110.929685 \nL 169.621656 115.370729 \nL 174.423339 119.615152 \nL 178.749209 123.672483 \nL 182.630502 127.554405 \nL 186.102195 131.273262 \nL 189.20125 134.841061 \nL 191.96525 138.268909 \nL 194.43139 141.566752 \nL 196.635741 144.743236 \nL 200.394929 150.760524 \nL 203.494274 156.366166 \nL 207.373232 164.063983 \nL 210.85338 170.946574 \nL 213.192737 175.080089 \nL 215.691146 178.831551 \nL 217.035199 180.55488 \nL 218.460557 182.169662 \nL 219.980586 183.669117 \nL 221.608647 185.045 \nL 223.35818 186.287387 \nL 225.242772 187.384421 \nL 227.276182 188.322047 \nL 229.472335 189.0837 \nL 231.845248 189.64999 \nL 234.408915 189.998368 \nL 237.177091 190.102787 \nL 240.163004 189.933408 \nL 243.378936 189.456365 \nL 246.835665 188.633657 \nL 250.541739 187.423202 \nL 254.502583 185.779216 \nL 258.71935 183.652976 \nL 263.187573 180.994116 \nL 267.89558 177.752649 \nL 272.822688 173.88186 \nL 277.937262 169.34221 \nL 283.194722 164.106308 \nL 288.535689 158.164919 \nL 293.884509 151.533758 \nL 299.148488 144.260479 \nL 304.218202 136.431032 \nL 308.969292 128.174198 \nL 313.266066 119.662816 \nL 316.967136 111.11046 \nL 319.932941 102.762401 \nL 322.034809 94.880892 \nL 323.164722 87.725666 \nL 323.244598 81.532058 \nL 322.233906 76.489909 \nL 320.134351 72.726885 \nL 316.990875 70.299057 \nL 312.888713 69.190313 \nL 307.946987 69.320052 \nL 302.309662 70.557394 \nL 296.135321 72.738836 \nL 289.586887 75.686207 \nL 282.822456 79.222379 \nL 275.988018 83.183317 \nL 269.212335 87.42566 \nL 262.603944 91.83046 \nL 256.250112 96.303588 \nL 250.21728 100.774018 \nL 244.552553 105.190751 \nL 239.28589 109.519263 \nL 234.432604 113.737911 \nL 229.995942 117.834706 \nL 225.969561 121.804575 \nL 222.339786 125.647147 \nL 219.087604 129.365063 \nL 216.190353 132.962741 \nL 213.623131 136.445483 \nL 211.359925 139.818912 \nL 209.374506 143.088567 \nL 207.641107 146.259721 \nL 206.134931 149.337239 \nL 204.832501 152.325537 \nL 203.711895 155.228626 \nL 201.936986 160.793178 \nL 200.669388 166.055596 \nL 199.795545 171.03623 \nL 199.226784 175.752323 \nL 198.896054 180.218896 \nL 198.754511 184.449339 \nL 198.826497 190.378406 \nL 199.187192 195.839317 \nL 199.821239 200.862675 \nL 200.40642 203.980697 \nL 201.139681 206.920159 \nL 202.044902 209.6838 \nL 203.154077 212.271221 \nL 204.508412 214.677635 \nL 206.159853 216.891958 \nL 207.116637 217.921235 \nL 208.173066 218.894003 \nL 209.339606 219.805626 \nL 210.627838 220.650275 \nL 212.050551 221.420661 \nL 213.621839 222.107738 \nL 215.357183 222.700323 \nL 217.273542 223.18466 \nL 219.389409 223.543882 \nL 221.724856 223.757389 \nL 224.301521 223.800108 \nL 227.142548 223.641659 \nL 230.272418 223.245387 \nL 233.71667 222.567317 \nL 237.501448 221.555036 \nL 241.652792 220.146588 \nL 246.195648 218.269475 \nL 251.152466 215.839975 \nL 256.541297 212.763027 \nL 262.373279 208.933082 \nL 268.649407 204.236422 \nL 275.356524 198.555641 \nL 282.462503 191.777018 \nL 289.91077 183.80153 \nL 297.614462 174.560033 \nL 305.450858 164.032575 \nL 313.257004 152.270739 \nL 320.827892 139.420386 \nL 327.918693 125.740318 \nL 334.252744 111.610698 \nL 339.53624 97.524589 \nL 343.479704 84.057513 \nL 345.824559 71.814535 \nL 346.371345 61.361009 \nL 345.004594 53.149805 \nL 341.709473 47.461832 \nL 336.576198 44.374349 \nL 329.79118 43.764627 \nL 321.616636 45.345848 \nL 312.36299 48.723705 \nL 302.359362 53.458837 \nL 291.926786 59.1215 \nL 281.357489 65.330764 \nL 270.90143 71.775773 \nL 260.759891 78.221808 \nL 241.981894 90.522929 \nL 225.721166 101.569037 \nL 212.138668 111.254107 \nL 206.306204 115.626026 \nL 201.062421 119.717558 \nL 196.360392 123.554658 \nL 192.149624 127.161637 \nL 188.378287 130.560137 \nL 181.949231 136.8029 \nL 176.682916 142.394738 \nL 164.621698 155.765071 \nL 162.817307 157.505092 \nL 161.003432 159.096859 \nL 159.159589 160.533787 \nL 157.267219 161.807839 \nL 155.309558 162.909514 \nL 153.271557 163.827792 \nL 151.139822 164.550123 \nL 148.902636 165.062417 \nL 146.550011 165.349084 \nL 144.073826 165.3931 \nL 141.468032 165.176175 \nL 138.728912 164.679015 \nL 135.855434 163.881698 \nL 132.849663 162.764242 \nL 129.717258 161.307325 \nL 126.468006 159.493276 \nL 123.116394 157.307283 \nL 119.682223 154.738858 \nL 116.191108 151.783545 \nL 112.67497 148.44484 \nL 109.17229 144.736149 \nL 105.728159 140.682761 \nL 102.393981 136.323525 \nL 99.226741 131.712032 \nL 96.287795 126.917066 \nL 93.641108 122.021936 \nL 91.351016 117.122608 \nL 89.479442 112.324449 \nL 88.082919 107.737705 \nL 87.209393 103.471925 \nL 86.895272 99.629857 \nL 87.162919 96.301422 \nL 88.018814 93.558369 \nL 89.452723 91.450441 \nL 91.437872 90.003215 \nL 93.93219 89.218057 \nL 96.880462 89.073954 \nL 100.217208 89.530946 \nL 103.869977 90.5345 \nL 107.762744 92.020432 \nL 111.819174 93.919596 \nL 115.965497 96.162164 \nL 120.132826 98.68093 \nL 124.258934 101.413799 \nL 128.289361 104.305297 \nL 132.177984 107.307305 \nL 135.887104 110.379132 \nL 139.387146 113.487118 \nL 142.656082 116.603986 \nL 145.678658 119.708001 \nL 148.445509 122.782089 \nL 150.952264 125.812978 \nL 153.198624 128.790417 \nL 155.187522 131.706503 \nL 156.924321 134.555088 \nL 158.416134 137.331298 \nL 159.671195 140.031114 \nL 160.698353 142.651098 \nL 161.506634 145.188105 \nL 162.104883 147.639086 \nL 162.501488 150.000913 \nL 162.70416 152.270254 \nL 162.719769 154.443421 \nL 162.554232 156.516283 \nL 162.212439 158.484126 \nL 161.698212 160.341564 \nL 161.014306 162.082421 \nL 160.16242 163.699621 \nL 159.143258 165.185049 \nL 157.956587 166.529433 \nL 156.601343 167.722198 \nL 155.075758 168.751375 \nL 153.377505 169.603407 \nL 151.503902 170.263091 \nL 149.452146 170.713461 \nL 147.219582 170.935725 \nL 144.80405 170.909285 \nL 142.204285 170.611825 \nL 139.420392 170.019499 \nL 136.454394 169.107292 \nL 133.310868 167.84959 \nL 129.997664 166.220952 \nL 126.526686 164.197218 \nL 122.914745 161.756907 \nL 119.184421 158.883032 \nL 115.364903 155.565228 \nL 111.492739 151.802204 \nL 107.612384 147.604447 \nL 103.776486 142.996916 \nL 100.04571 138.021507 \nL 96.488045 132.738967 \nL 93.177425 127.229803 \nL 90.191652 121.593788 \nL 87.609531 115.947712 \nL 85.507366 110.42121 \nL 83.955017 105.150688 \nL 83.01169 100.271766 \nL 82.722024 95.910914 \nL 83.112737 92.17717 \nL 84.190308 89.155031 \nL 85.93996 86.899447 \nL 88.326136 85.433448 \nL 91.294369 84.748787 \nL 94.774388 84.809134 \nL 98.684128 85.555377 \nL 102.934149 86.912102 \nL 107.432128 88.794374 \nL 112.086962 91.113953 \nL 116.812263 93.784632 \nL 121.529045 96.726093 \nL 126.167598 99.866495 \nL 130.668515 103.143798 \nL 134.983044 106.506063 \nL 139.072856 109.911005 \nL 142.909379 113.325096 \nL 146.472851 116.722372 \nL 149.751217 120.083203 \nL 152.738933 123.393074 \nL 155.435801 126.641476 \nL 157.845852 129.820962 \nL 159.976332 132.926345 \nL 161.836781 135.954052 \nL 163.438261 138.901612 \nL 164.792681 141.76726 \nL 165.912248 144.549636 \nL 166.80901 147.247552 \nL 167.494509 149.859831 \nL 167.979503 152.385143 \nL 168.273756 154.82192 \nL 168.385893 157.168243 \nL 168.323294 159.421756 \nL 168.092039 161.57959 \nL 167.696877 163.638267 \nL 167.141215 165.593607 \nL 166.42715 167.440623 \nL 165.555488 169.173406 \nL 164.525812 170.784981 \nL 163.336533 172.267188 \nL 161.984989 173.610489 \nL 160.467544 174.803824 \nL 158.779709 175.834408 \nL 156.9163 176.68755 \nL 154.871635 177.346475 \nL 152.639758 177.792114 \nL 150.214731 178.002986 \nL 147.590985 177.955094 \nL 144.763758 177.621894 \nL 141.729613 176.974408 \nL 138.487082 175.981484 \nL 135.037399 174.610319 \nL 131.385384 172.827231 \nL 127.540427 170.598876 \nL 123.517618 167.893862 \nL 119.338897 164.684934 \nL 115.034287 160.951684 \nL 110.643051 156.683862 \nL 106.214659 151.885067 \nL 101.809446 146.576752 \nL 97.498737 140.802087 \nL 93.364299 134.62921 \nL 89.496818 128.153249 \nL 85.993406 121.496408 \nL 82.953899 114.805527 \nL 80.4762 108.246636 \nL 78.650754 101.996568 \nL 77.554712 96.232069 \nL 77.246287 91.117525 \nL 77.75995 86.792833 \nL 79.103168 83.36299 \nL 81.255074 80.891118 \nL 84.167301 79.3958 \nL 87.766962 78.85281 \nL 91.961323 79.200984 \nL 96.643641 80.350845 \nL 101.69946 82.194546 \nL 107.01277 84.615723 \nL 112.471386 87.498167 \nL 117.971348 90.732509 \nL 123.420029 94.220742 \nL 128.738034 97.87871 \nL 133.860037 101.636851 \nL 138.734658 105.439626 \nL 143.323703 109.244215 \nL 147.600924 113.018716 \nL 151.550516 116.740194 \nL 155.165503 120.39288 \nL 158.446145 123.966446 \nL 161.398391 127.454641 \nL 164.032514 130.854101 \nL 166.361886 134.163459 \nL 168.401927 137.382667 \nL 170.169226 140.512465 \nL 171.680826 143.554005 \nL 172.95365 146.508634 \nL 174.004045 149.377663 \nL 174.847448 152.1623 \nL 175.498134 154.863542 \nL 175.969038 157.482111 \nL 176.271645 160.018434 \nL 176.415923 162.472596 \nL 176.410286 164.844324 \nL 176.261597 167.132912 \nL 175.975176 169.337213 \nL 175.554837 171.455553 \nL 175.002914 173.48569 \nL 174.320319 175.424709 \nL 173.50657 177.268941 \nL 172.55985 179.013837 \nL 171.477049 180.653828 \nL 170.253816 182.182184 \nL 168.88461 183.590819 \nL 167.362762 184.870087 \nL 165.680548 186.008538 \nL 163.829281 186.992674 \nL 161.799417 187.806646 \nL 159.580717 188.431948 \nL 157.162431 188.847105 \nL 154.533565 189.027338 \nL 151.683212 188.944295 \nL 148.600985 188.565796 \nL 145.277582 187.855702 \nL 141.705479 186.773954 \nL 137.879813 185.276864 \nL 133.799447 183.317757 \nL 129.468266 180.848113 \nL 124.896667 177.819332 \nL 120.10326 174.185343 \nL 115.116739 169.906073 \nL 109.977792 164.951974 \nL 104.740926 159.309565 \nL 99.476016 152.98773 \nL 94.269211 146.024423 \nL 89.222931 138.49294 \nL 84.454556 130.506811 \nL 80.093421 122.221912 \nL 76.275978 113.834559 \nL 73.139021 105.574456 \nL 70.811361 97.692159 \nL 69.40459 90.441624 \nL 69.003934 84.059774 \nL 69.66036 78.745797 \nL 71.385146 74.643701 \nL 74.147762 71.830895 \nL 77.877517 70.314828 \nL 82.468715 70.03787 \nL 87.788561 70.889017 \nL 93.686759 72.719873 \nL 100.005459 75.361936 \nL 106.58849 78.642546 \nL 113.289079 82.397685 \nL 119.975511 86.48078 \nL 126.534745 90.767623 \nL 132.874077 95.157831 \nL 138.921223 99.573956 \nL 144.623238 103.958986 \nL 149.944618 108.273066 \nL 154.865001 112.49009 \nL 159.376697 116.594467 \nL 163.482238 120.578301 \nL 167.19212 124.439085 \nL 170.522768 128.177903 \nL 173.494785 131.79803 \nL 176.131481 135.304001 \nL 178.457666 138.700896 \nL 180.498691 141.993903 \nL 182.279708 145.188067 \nL 183.825105 148.288101 \nL 185.158104 151.298346 \nL 186.300482 154.222744 \nL 187.2724 157.06485 \nL 188.776916 162.514684 \nL 189.798489 167.669908 \nL 190.437363 172.548801 \nL 190.769673 177.166821 \nL 190.85052 181.537277 \nL 190.717028 185.671689 \nL 190.391016 189.579924 \nL 189.881126 193.270094 \nL 189.184337 196.748247 \nL 188.28684 200.017854 \nL 187.164315 203.078927 \nL 185.781622 205.926775 \nL 184.091935 208.550065 \nL 183.113814 209.771484 \nL 182.035378 210.928039 \nL 180.8468 212.014979 \nL 179.537193 213.026357 \nL 178.094533 213.954777 \nL 176.50559 214.791099 \nL 174.755857 215.524103 \nL 172.829502 216.140057 \nL 170.709328 216.622244 \nL 168.376762 216.950386 \nL 165.811906 217.09999 \nL 162.993627 217.041595 \nL 159.899752 216.73995 \nL 156.507396 216.153125 \nL 152.793428 215.231588 \nL 148.735187 213.91734 \nL 144.311462 212.143216 \nL 139.503836 209.832497 \nL 134.298483 206.899092 \nL 128.688494 203.248672 \nL 122.676795 198.78112 \nL 116.279742 193.394911 \nL 109.531288 186.993956 \nL 102.487694 179.497487 \nL 95.232375 170.853308 \nL 87.880397 161.054156 \nL 80.581798 150.156199 \nL 73.522631 138.297363 \nL 66.922504 125.711817 \nL 61.027376 112.735763 \nL 56.096803 99.799516 \nL 52.385823 87.402041 \nL 50.122705 76.067822 \nL 49.485441 66.290711 \nL 50.580791 58.474518 \nL 53.42981 52.883203 \nL 57.963134 49.612208 \nL 64.027036 48.587202 \nL 71.399172 49.589122 \nL 79.810884 52.297727 \nL 88.971911 56.342079 \nL 98.593667 61.347272 \nL 108.408141 66.970109 \nL 118.180981 72.92096 \nL 127.718725 78.972592 \nL 136.870937 84.959127 \nL 145.528528 90.768763 \nL 153.619632 96.333667 \nL 161.104191 101.619294 \nL 167.968138 106.614749 \nL 174.217774 111.324686 \nL 179.874709 115.763118 \nL 184.971498 119.948876 \nL 189.548039 123.902499 \nL 193.648681 127.644204 \nL 197.319982 131.192717 \nL 200.609004 134.564617 \nL 203.562073 137.774086 \nL 208.637056 143.750531 \nL 212.8746 149.18981 \nL 219.945299 158.579577 \nL 223.23103 162.531499 \nL 224.893336 164.311575 \nL 226.595027 165.953694 \nL 228.354109 167.450589 \nL 230.187321 168.793491 \nL 232.110254 169.971997 \nL 234.137407 170.973993 \nL 236.282242 171.785504 \nL 238.557127 172.39059 \nL 240.973265 172.771264 \nL 243.540532 172.907435 \nL 246.267235 172.776945 \nL 249.159789 172.355675 \nL 252.222295 171.617783 \nL 255.456006 170.536163 \nL 258.858709 169.083084 \nL 262.423979 167.231147 \nL 266.140363 164.954605 \nL 269.990485 162.231018 \nL 273.950123 159.043371 \nL 277.987341 155.382591 \nL 282.061723 151.250416 \nL 286.123865 146.662456 \nL 290.115202 141.651183 \nL 293.968385 136.268631 \nL 297.608305 130.588211 \nL 300.953883 124.705232 \nL 303.920741 118.735722 \nL 306.424665 112.81303 \nL 308.385754 107.082248 \nL 309.733021 101.692581 \nL 310.408997 96.788264 \nL 310.373907 92.49899 \nL 309.608943 88.93101 \nL 308.118205 86.160177 \nL 305.929044 84.227685 \nL 303.090726 83.139178 \nL 299.671577 82.86716 \nL 295.754922 83.356093 \nL 291.434302 84.529307 \nL 286.808434 86.296699 \nL 281.976439 88.562125 \nL 277.033634 91.229897 \nL 272.068186 94.20974 \nL 267.158726 97.420217 \nL 262.37288 100.790644 \nL 257.766639 104.26169 \nL 253.384458 107.785084 \nL 249.259844 111.322681 \nL 245.416357 114.845144 \nL 241.868784 118.330508 \nL 238.624442 121.762792 \nL 235.6845 125.130692 \nL 233.045209 128.426473 \nL 230.699062 131.645035 \nL 228.635819 134.783127 \nL 226.843403 137.838803 \nL 225.30865 140.810923 \nL 224.01794 143.698839 \nL 222.957709 146.502135 \nL 222.11485 149.22044 \nL 221.477035 151.853269 \nL 221.032938 154.399947 \nL 220.772417 156.859497 \nL 220.686624 159.230578 \nL 220.768085 161.511414 \nL 221.010732 163.699706 \nL 221.409924 165.792566 \nL 221.962426 167.786431 \nL 222.666396 169.676969 \nL 223.521338 171.458954 \nL 224.528054 173.126145 \nL 225.688583 174.671131 \nL 227.006121 176.085182 \nL 228.48494 177.358046 \nL 230.130278 178.477782 \nL 231.948205 179.430528 \nL 233.945466 180.200266 \nL 236.129285 180.768622 \nL 238.50711 181.114648 \nL 241.086304 181.214641 \nL 243.873766 181.042008 \nL 246.875443 180.56725 \nL 250.095749 179.758057 \nL 253.536847 178.579599 \nL 257.197802 176.995138 \nL 261.073584 174.966929 \nL 265.15393 172.457644 \nL 269.422059 169.432303 \nL 273.853307 165.860856 \nL 278.413745 161.721432 \nL 283.058841 157.004265 \nL 287.732409 151.716139 \nL 292.365883 145.885013 \nL 296.878324 139.564508 \nL 301.177263 132.837487 \nL 305.160648 125.817947 \nL 308.720116 118.650427 \nL 311.745531 111.506183 \nL 314.130702 104.575709 \nL 315.779942 98.057832 \nL 316.614797 92.14618 \nL 316.580308 87.014593 \nL 315.649937 82.80345 \nL 313.8285 79.60901 \nL 311.152642 77.477331 \nL 307.688698 76.403683 \nL 303.528308 76.337122 \nL 298.782247 77.189391 \nL 293.573351 78.846046 \nL 288.029245 81.178451 \nL 282.275735 84.054644 \nL 276.431213 87.348174 \nL 270.602528 90.944389 \nL 264.882273 94.744104 \nL 259.347428 98.665045 \nL 254.059178 102.641564 \nL 249.06357 106.623223 \nL 244.392809 110.572723 \nL 240.0669 114.463643 \nL 236.095471 118.278169 \nL 232.479619 122.005083 \nL 229.213666 125.638008 \nL 226.286756 129.174009 \nL 223.68429 132.612506 \nL 221.389129 135.954403 \nL 219.382629 139.201504 \nL 217.645463 142.35608 \nL 216.158295 145.420573 \nL 214.902295 148.397385 \nL 213.859535 151.288788 \nL 213.013264 154.096835 \nL 212.348115 156.82331 \nL 211.850228 159.469734 \nL 211.507328 162.037323 \nL 211.308747 164.526998 \nL 211.245433 166.939369 \nL 211.309919 169.274709 \nL 211.496295 171.532953 \nL 211.80015 173.713635 \nL 212.218537 175.815882 \nL 212.749912 177.838324 \nL 213.394092 179.779043 \nL 214.15221 181.635512 \nL 215.026674 183.404453 \nL 216.021135 185.081748 \nL 217.140455 186.662295 \nL 218.390678 188.139832 \nL 219.779005 189.506761 \nL 221.313756 190.753907 \nL 223.004337 191.870275 \nL 224.861183 192.842753 \nL 226.895678 193.655785 \nL 229.120058 194.291015 \nL 231.547248 194.726897 \nL 234.190663 194.938268 \nL 237.063903 194.895963 \nL 240.180385 194.56641 \nL 243.552801 193.911333 \nL 247.192465 192.887576 \nL 251.108428 191.447143 \nL 255.306399 189.53758 \nL 259.78738 187.10287 \nL 264.546063 184.084958 \nL 269.568904 180.426187 \nL 274.831954 176.072813 \nL 280.298522 170.979797 \nL 285.916791 165.116968 \nL 291.617604 158.476421 \nL 297.312761 151.08088 \nL 302.894229 142.992175 \nL 308.234768 134.318744 \nL 313.190454 125.220424 \nL 317.60552 115.908798 \nL 321.319644 106.641312 \nL 324.177561 97.708157 \nL 326.040262 89.412133 \nL 326.796608 82.043374 \nL 326.373883 75.852465 \nL 324.745658 71.026356 \nL 321.935581 67.671662 \nL 318.016416 65.808182 \nL 313.104446 65.373535 \nL 307.350048 66.237357 \nL 300.925946 68.221645 \nL 294.014834 71.123109 \nL 286.797799 74.73386 \nL 279.444751 78.857808 \nL 272.1074 83.321777 \nL 264.914943 87.981285 \nL 257.972194 92.722004 \nL 251.359655 97.457991 \nL 245.135067 102.128111 \nL 239.335825 106.691693 \nL 233.981894 111.123979 \nL 229.078857 115.412085 \nL 224.620832 119.55149 \nL 220.593173 123.543286 \nL 216.974819 127.392061 \nL 213.740309 131.104325 \nL 210.861434 134.687486 \nL 208.308567 138.149089 \nL 206.051706 141.496439 \nL 204.061262 144.736301 \nL 202.30864 147.874821 \nL 200.766638 150.91751 \nL 198.214102 156.734262 \nL 196.221168 162.219 \nL 194.634556 167.397045 \nL 192.746556 174.631894 \nL 189.621188 187.358214 \nL 188.520097 191.118222 \nL 187.293875 194.644765 \nL 185.887415 197.936424 \nL 184.242433 200.985943 \nL 182.294411 203.777995 \nL 181.184161 205.069685 \nL 179.969623 206.28586 \nL 178.639667 207.420625 \nL 177.182228 208.466661 \nL 175.584232 209.414955 \nL 173.831524 210.254474 \nL 171.908811 210.971784 \nL 169.799636 211.550601 \nL 167.486375 211.971253 \nL 164.950283 212.210119 \nL 162.171606 212.238924 \nL 159.129784 212.024042 \nL 155.803759 211.525695 \nL 152.172466 210.697201 \nL 148.215503 209.484242 \nL 143.914074 207.824343 \nL 139.252256 205.646649 \nL 134.218673 202.872253 \nL 128.808625 199.415391 \nL 123.026747 195.185832 \nL 116.890221 190.092959 \nL 110.432512 184.052029 \nL 103.707467 176.992991 \nL 96.793532 168.872145 \nL 89.797588 159.686335 \nL 82.857725 149.488866 \nL 76.143998 138.40507 \nL 69.85619 126.644611 \nL 64.21749 114.5065 \nL 59.463503 102.372635 \nL 55.826604 90.686869 \nL 53.516798 79.919144 \nL 52.701195 70.518271 \nL 53.485387 62.861058 \nL 55.90001 57.207971 \nL 59.895216 53.675201 \nL 65.344391 52.229095 \nL 72.056413 52.703302 \nL 79.794141 54.832909 \nL 88.295804 58.296821 \nL 97.295918 62.759194 \nL 106.54302 67.902999 \nL 115.812725 73.452436 \nL 124.915623 79.183997 \nL 133.700589 84.928346 \nL 142.054415 90.565947 \nL 149.898877 96.019163 \nL 157.186359 101.243303 \nL 163.894818 106.217943 \nL 170.022711 110.939441 \nL 175.58429 115.414907 \nL 180.60544 119.657677 \nL 185.120157 123.684054 \nL 189.167681 127.511131 \nL 192.790202 131.155399 \nL 196.031095 134.631946 \nL 198.933605 137.954044 \nL 201.539891 141.133027 \nL 206.023314 147.097559 \nL 209.777571 152.580179 \nL 217.570669 164.330453 \nL 220.565343 168.240972 \nL 222.117176 170.014644 \nL 223.728397 171.659576 \nL 225.415136 173.168299 \nL 227.192754 174.531797 \nL 229.075953 175.739393 \nL 231.078824 176.778517 \nL 233.214884 177.634558 \nL 235.497029 178.290651 \nL 237.937437 178.727511 \nL 240.547408 178.923278 \nL 243.337117 178.853412 \nL 246.315256 178.490684 \nL 249.488579 177.805262 \nL 252.861328 176.765027 \nL 256.434521 175.33607 \nL 260.205092 173.483562 \nL 264.164895 171.172999 \nL 268.299603 168.371926 \nL 272.587479 165.052251 \nL 276.998166 161.193139 \nL 281.491486 156.7845 \nL 286.016455 151.830924 \nL 290.51064 146.355904 \nL 294.900056 140.40588 \nL 299.099858 134.053633 \nL 303.015961 127.40026 \nL 306.547813 120.575099 \nL 309.592357 113.732866 \nL 312.049034 107.0476 \nL 313.825635 100.703467 \nL 314.844451 94.883058 \nL 315.04815 89.75434 \nL 314.404606 85.457978 \nL 312.91013 82.096767 \nL 310.590562 79.728887 \nL 307.500013 78.365797 \nL 303.717454 77.97489 \nL 299.341585 78.486282 \nL 294.484567 79.80225 \nL 289.265374 81.807914 \nL 283.80349 84.38146 \nL 278.213421 87.402972 \nL 272.600345 90.760935 \nL 267.057153 94.356637 \nL 261.662654 98.106265 \nL 256.480999 101.941322 \nL 251.561954 105.807798 \nL 246.941836 109.664592 \nL 242.644901 113.48156 \nL 238.68495 117.237459 \nL 235.067029 120.91801 \nL 231.789082 124.514225 \nL 228.843519 128.020974 \nL 226.218604 131.435844 \nL 223.899692 134.758265 \nL 221.870259 137.988835 \nL 220.112776 141.128828 \nL 218.609409 144.179858 \nL 217.342577 147.143636 \nL 216.295382 150.021834 \nL 215.451931 152.815942 \nL 214.797575 155.527236 \nL 214.319059 158.15673 \nL 214.004631 160.705118 \nL 213.844093 163.172791 \nL 213.828824 165.559767 \nL 213.951774 167.865684 \nL 214.207441 170.089764 \nL 214.591841 172.230754 \nL 215.102463 174.286866 \nL 215.738223 176.255706 \nL 216.499427 178.134207 \nL 217.387717 179.918482 \nL 218.406035 181.603728 \nL 219.558572 183.18408 \nL 220.850729 184.652426 \nL 222.289069 186.000221 \nL 223.88126 187.217251 \nL 225.636003 188.291393 \nL 227.562953 189.208318 \nL 229.672596 189.951183 \nL 231.976097 190.500301 \nL 234.485103 190.832785 \nL 237.21146 190.922213 \nL 240.166856 190.738303 \nL 243.36235 190.246658 \nL 246.807777 189.408645 \nL 250.510975 188.181435 \nL 254.476824 186.518362 \nL 258.706081 184.369668 \nL 263.193968 181.683808 \nL 267.928538 178.409483 \nL 272.888809 174.498565 \nL 278.042754 169.910072 \nL 283.345239 164.615258 \nL 288.736087 158.603775 \nL 294.13855 151.890634 \nL 299.458445 144.523481 \nL 304.584444 136.589158 \nL 309.389868 128.21846 \nL 313.736359 119.587506 \nL 317.479606 110.914322 \nL 320.477101 102.449636 \nL 322.597456 94.461655 \nL 323.730423 87.215927 \nL 323.796471 80.952738 \nL 322.754599 75.86531 \nL 320.60713 72.082676 \nL 317.40066 69.66015 \nL 313.222976 68.578844 \nL 308.196344 68.753976 \nL 302.468196 70.049631 \nL 296.200529 72.297159 \nL 289.559402 75.313674 \nL 282.705564 78.918136 \nL 275.787052 82.943582 \nL 268.934044 87.244751 \nL 262.255926 91.701634 \nL 255.840282 96.219775 \nL 249.753448 100.72834 \nL 244.04212 105.176823 \nL 238.735618 109.531395 \nL 233.848486 113.771182 \nL 229.383123 117.884945 \nL 225.332317 121.868323 \nL 221.681543 125.721564 \nL 218.410968 129.447841 \nL 215.497172 133.052036 \nL 212.914551 136.539822 \nL 210.63645 139.917118 \nL 208.636063 143.189718 \nL 206.887101 146.363086 \nL 205.364291 149.442247 \nL 204.043722 152.431753 \nL 202.903075 155.335697 \nL 201.080902 160.901265 \nL 199.754148 166.164187 \nL 198.806507 171.145248 \nL 198.146394 175.862063 \nL 197.703477 180.330052 \nL 197.335066 186.59544 \nL 197.21951 192.373843 \nL 197.345551 199.385313 \nL 197.737861 205.676551 \nL 198.213895 209.963589 \nL 198.879109 213.907854 \nL 199.453228 216.356411 \nL 200.156905 218.664837 \nL 201.018243 220.834893 \nL 202.072538 222.865548 \nL 203.363824 224.751768 \nL 204.946826 226.48265 \nL 206.889334 228.038631 \nL 208.020852 228.741547 \nL 209.275055 229.38724 \nL 210.665431 229.968584 \nL 212.206897 230.476688 \nL 213.915905 230.900493 \nL 215.810553 231.226302 \nL 217.910686 231.437203 \nL 220.237965 231.512383 \nL 222.815896 231.426311 \nL 225.669813 231.147785 \nL 228.826752 230.63883 \nL 232.315212 229.853462 \nL 236.164737 228.736334 \nL 240.405234 227.221343 \nL 245.065978 225.23029 \nL 250.174164 222.671805 \nL 255.752911 219.440812 \nL 261.818546 215.41898 \nL 268.377043 210.476814 \nL 275.419509 204.478104 \nL 282.916671 197.287788 \nL 290.812422 188.784188 \nL 299.016796 178.876469 \nL 307.398999 167.527496 \nL 315.781662 154.781049 \nL 323.937884 140.790373 \nL 331.593085 125.842477 \nL 338.433778 110.370372 \nL 344.12464 94.944241 \nL 348.334236 80.234692 \nL 350.767133 66.946985 \nL 351.198138 55.734334 \nL 349.502268 47.107541 \nL 345.673927 41.363211 \nL 339.83059 38.549512 \nL 332.199984 38.477518 \nL 323.093497 40.772395 \nL 312.871797 44.947607 \nL 301.909409 50.482015 \nL 290.563995 56.883606 \nL 279.153858 63.731454 \nL 267.944581 70.695132 \nL 246.903392 84.098099 \nL 228.460162 96.071929 \nL 212.945592 106.396989 \nL 200.248626 115.223805 \nL 190.023893 122.809222 \nL 181.832667 129.393346 \nL 175.226391 135.158339 \nL 167.395376 142.519137 \nL 161.035024 148.49448 \nL 157.159143 151.720196 \nL 155.250149 153.096368 \nL 153.331299 154.307147 \nL 151.383903 155.34515 \nL 149.391642 156.201779 \nL 147.340483 156.867249 \nL 145.218638 157.330711 \nL 143.016562 157.580374 \nL 140.727009 157.603669 \nL 138.345138 157.387514 \nL 135.868678 156.91859 \nL 133.298122 156.183776 \nL 130.637006 155.170683 \nL 127.892174 153.86831 \nL 125.074092 152.267831 \nL 122.197168 150.363528 \nL 119.280019 148.153831 \nL 116.345699 145.642494 \nL 113.421816 142.839759 \nL 110.540522 139.763514 \nL 107.738273 136.440305 \nL 105.055377 132.906061 \nL 102.535287 129.206453 \nL 100.223522 125.396695 \nL 98.166349 121.540652 \nL 96.409149 117.709262 \nL 94.994607 113.978207 \nL 93.960745 110.424924 \nL 93.33898 107.125181 \nL 93.152369 104.149413 \nL 93.41414 101.55927 \nL 94.126711 99.404543 \nL 95.281228 97.720945 \nL 96.857736 96.528882 \nL 98.825986 95.833258 \nL 101.146731 95.62438 \nL 103.773465 95.879734 \nL 106.654471 96.566409 \nL 109.734913 97.64382 \nL 112.958956 99.066554 \nL 116.271692 100.787015 \nL 119.620727 102.757622 \nL 122.957547 104.932671 \nL 126.238419 107.269607 \nL 129.424999 109.729841 \nL 132.48461 112.279151 \nL 135.390236 114.887773 \nL 138.120297 117.530197 \nL 140.658274 120.184829 \nL 142.99221 122.833562 \nL 145.11415 125.46127 \nL 147.019554 128.055337 \nL 148.706715 130.60517 \nL 150.176188 133.101809 \nL 151.430278 135.537532 \nL 152.472577 137.905516 \nL 153.307544 140.199586 \nL 153.940149 142.413948 \nL 154.375566 144.542985 \nL 154.618952 146.581103 \nL 154.675225 148.522554 \nL 154.548933 150.361286 \nL 154.24415 152.090857 \nL 153.764407 153.704284 \nL 153.112677 155.193959 \nL 152.291362 156.551539 \nL 151.30236 157.767856 \nL 150.14712 158.83285 \nL 148.82676 159.735481 \nL 147.342203 160.463683 \nL 145.694351 161.004374 \nL 143.88431 161.343427 \nL 141.913627 161.465774 \nL 139.784608 161.355512 \nL 137.500644 160.996137 \nL 135.0666 160.370825 \nL 132.489257 159.462922 \nL 129.777774 158.256504 \nL 126.944184 156.737121 \nL 124.003921 154.892765 \nL 120.976316 152.714971 \nL 117.885068 150.200119 \nL 114.758638 147.350832 \nL 111.630505 144.177502 \nL 108.539232 140.699748 \nL 105.528295 136.947706 \nL 102.645602 132.962988 \nL 99.942622 128.799158 \nL 97.473162 124.521426 \nL 95.291706 120.205521 \nL 93.451444 115.93558 \nL 92.00196 111.801078 \nL 90.986865 107.892943 \nL 90.441413 104.299084 \nL 90.390354 101.099789 \nL 90.846284 98.363405 \nL 91.808567 96.142707 \nL 93.26303 94.472504 \nL 95.182428 93.368568 \nL 97.527661 92.827972 \nL 100.249656 92.830822 \nL 103.291698 93.342955 \nL 106.592037 94.319319 \nL 110.086494 95.707585 \nL 113.710989 97.451664 \nL 117.403695 99.494798 \nL 121.106848 101.782037 \nL 124.768062 104.262156 \nL 128.341218 106.888771 \nL 131.786913 109.621003 \nL 135.072547 112.423615 \nL 138.172109 115.266785 \nL 141.065762 118.125696 \nL 143.739242 120.979953 \nL 146.183189 123.812928 \nL 148.392429 126.61116 \nL 150.365256 129.363733 \nL 152.102743 132.061754 \nL 153.608104 134.697861 \nL 154.886118 137.265839 \nL 155.94262 139.760265 \nL 156.784069 142.176236 \nL 157.417164 144.509116 \nL 157.848552 146.754373 \nL 158.084583 148.907352 \nL 158.131122 150.963188 \nL 157.993405 152.916628 \nL 157.675946 154.761934 \nL 157.182487 156.49275 \nL 156.515969 158.102007 \nL 155.678545 159.581801 \nL 154.671632 160.923287 \nL 153.495974 162.116585 \nL 152.15176 163.150655 \nL 150.638756 164.013251 \nL 148.956468 164.690806 \nL 147.104361 165.168432 \nL 145.082118 165.429876 \nL 142.889928 165.457617 \nL 140.528846 165.232969 \nL 138.001195 164.736322 \nL 135.311035 163.947507 \nL 132.464687 162.846298 \nL 129.471308 161.413122 \nL 126.343508 159.630016 \nL 123.098014 157.481759 \nL 119.756296 154.957312 \nL 116.345164 152.051449 \nL 112.897296 148.76664 \nL 109.451568 145.114961 \nL 106.053153 141.12003 \nL 102.753292 136.818699 \nL 99.608655 132.262281 \nL 96.680237 127.517031 \nL 94.031682 122.663646 \nL 91.727143 117.795564 \nL 89.828645 113.015903 \nL 88.39313 108.43314 \nL 87.469377 104.155731 \nL 87.095077 100.286188 \nL 87.294249 96.915058 \nL 88.075428 94.115667 \nL 89.430672 91.94002 \nL 91.335624 90.416523 \nL 93.750617 89.549662 \nL 96.6227 89.321574 \nL 99.888369 89.695209 \nL 103.476778 90.618541 \nL 107.313096 92.029343 \nL 111.321743 93.859857 \nL 115.42928 96.041033 \nL 119.566788 98.506007 \nL 123.671683 101.192571 \nL 127.688907 104.044861 \nL 131.571575 107.014158 \nL 135.281114 110.059051 \nL 138.787033 113.145148 \nL 142.066383 116.244422 \nL 145.103025 119.334461 \nL 147.886783 122.397566 \nL 150.412536 125.419924 \nL 152.679334 128.390827 \nL 154.689543 131.301982 \nL 156.448061 134.146919 \nL 157.961612 136.920487 \nL 159.238124 139.618471 \nL 160.28621 142.237248 \nL 161.114727 144.773543 \nL 161.732405 147.22419 \nL 162.147567 149.58598 \nL 162.367899 151.855501 \nL 162.400283 154.02902 \nL 162.250676 156.102356 \nL 161.924028 158.070779 \nL 161.424251 159.928882 \nL 160.754194 161.670481 \nL 159.915676 163.288507 \nL 158.909528 164.774856 \nL 157.735652 166.120304 \nL 156.393129 167.314333 \nL 154.880344 168.345021 \nL 153.195134 169.198933 \nL 151.334989 169.860974 \nL 149.297267 170.314327 \nL 147.079494 170.5404 \nL 144.679688 170.518815 \nL 142.096752 170.227512 \nL 139.330955 169.642967 \nL 136.384469 168.740535 \nL 133.261999 167.494985 \nL 129.971492 165.88132 \nL 126.5249 163.875836 \nL 122.939027 161.457528 \nL 119.236368 158.609846 \nL 115.445932 155.322804 \nL 111.60396 151.595407 \nL 107.754497 147.438227 \nL 103.949614 142.876108 \nL 100.249269 137.950548 \nL 96.720578 132.721543 \nL 93.436504 127.26847 \nL 90.47377 121.68961 \nL 87.910087 116.099929 \nL 85.820714 110.627009 \nL 84.274546 105.405129 \nL 83.330067 100.567877 \nL 83.031454 96.239954 \nL 83.405309 92.529106 \nL 84.458367 89.519165 \nL 86.176469 87.265045 \nL 88.525011 85.790419 \nL 91.450713 85.088182 \nL 94.884687 85.12358 \nL 98.746282 85.839308 \nL 102.947475 87.161793 \nL 107.397219 89.007793 \nL 112.005513 91.290605 \nL 116.686852 93.92522 \nL 121.362922 96.832214 \nL 125.964434 99.940351 \nL 130.432208 103.187927 \nL 134.717537 106.523136 \nL 138.781988 109.903662 \nL 142.596772 113.295816 \nL 146.141831 116.673435 \nL 149.404755 120.016624 \nL 152.379626 123.31059 \nL 155.065852 126.544571 \nL 157.467086 129.710861 \nL 159.590199 132.804036 \nL 161.444387 135.820304 \nL 163.040393 138.756996 \nL 164.389835 141.612174 \nL 165.50466 144.384327 \nL 166.39669 147.072116 \nL 167.077265 149.674211 \nL 167.556966 152.189168 \nL 167.845408 154.615276 \nL 167.951085 156.950483 \nL 167.881273 159.192301 \nL 167.641962 161.337727 \nL 167.237828 163.383132 \nL 166.672227 165.324183 \nL 165.947212 167.155723 \nL 165.063574 168.87167 \nL 164.020888 170.464862 \nL 162.817587 171.926919 \nL 161.451048 173.248093 \nL 159.9177 174.417098 \nL 158.213155 175.420918 \nL 156.33237 176.244619 \nL 154.26984 176.871175 \nL 152.019842 177.281311 \nL 149.576739 177.453346 \nL 146.93534 177.363129 \nL 144.091342 176.984041 \nL 141.041875 176.287143 \nL 137.786137 175.241473 \nL 134.326165 173.814606 \nL 130.667709 171.973509 \nL 126.821225 169.685785 \nL 122.802989 166.921384 \nL 118.636236 163.654836 \nL 114.352376 159.868003 \nL 109.992057 155.5534 \nL 105.606081 150.717867 \nL 101.255952 145.386447 \nL 97.013883 139.606091 \nL 92.962063 133.448615 \nL 89.191035 127.012346 \nL 85.797008 120.421828 \nL 82.878097 113.824878 \nL 80.529571 107.386815 \nL 78.838418 101.281799 \nL 77.877608 95.681953 \nL 77.700718 90.745354 \nL 78.337447 86.604381 \nL 79.790709 83.356093 \nL 82.035677 81.056028 \nL 85.02094 79.716214 \nL 88.671651 79.30756 \nL 92.894328 79.765977 \nL 97.582613 81.000982 \nL 102.62346 82.905485 \nL 107.90303 85.365177 \nL 113.311871 88.266794 \nL 118.749012 91.504328 \nL 124.124871 94.983212 \nL 129.362976 98.622464 \nL 134.40065 102.355325 \nL 139.188826 106.128572 \nL 143.691237 109.901211 \nL 147.883166 113.642697 \nL 151.749976 117.331086 \nL 155.285515 120.951214 \nL 158.490561 124.493153 \nL 161.371347 127.950822 \nL 163.938213 131.320917 \nL 166.20443 134.602029 \nL 168.185196 137.79398 \nL 169.896777 140.897358 \nL 171.355827 143.913151 \nL 172.57883 146.842499 \nL 173.581664 149.686533 \nL 174.379283 152.44625 \nL 174.985472 155.12243 \nL 175.412677 157.715585 \nL 175.671902 160.225914 \nL 175.772638 162.653277 \nL 175.722841 164.99712 \nL 175.52892 167.256466 \nL 175.195762 169.429852 \nL 174.726754 171.515254 \nL 174.123822 173.51004 \nL 173.387474 175.410838 \nL 172.516844 177.213478 \nL 171.509746 178.912837 \nL 170.362714 180.502685 \nL 169.071067 181.975548 \nL 167.628965 183.322493 \nL 166.029477 184.53291 \nL 164.264673 185.594275 \nL 162.325724 186.49187 \nL 160.203045 187.20851 \nL 157.886477 187.724224 \nL 155.365502 188.015956 \nL 152.629568 188.057259 \nL 149.668464 187.818065 \nL 146.472826 187.264515 \nL 143.03477 186.358935 \nL 139.348681 185.060025 \nL 135.412185 183.323348 \nL 131.227311 181.10226 \nL 126.801878 178.349393 \nL 122.151065 175.01883 \nL 117.29915 171.069149 \nL 112.281384 166.467414 \nL 107.145754 161.194108 \nL 101.954629 155.248967 \nL 96.785901 148.657328 \nL 91.73335 141.476403 \nL 86.905907 133.800617 \nL 82.425444 125.764848 \nL 78.422814 117.544305 \nL 75.032079 109.349841 \nL 72.38303 101.418131 \nL 70.592583 93.99674 \nL 69.755785 87.325525 \nL 69.937539 81.616461 \nL 71.166244 77.035217 \nL 73.430243 73.687269 \nL 76.67782 71.611149 \nL 80.820645 70.779515 \nL 85.740336 71.107623 \nL 91.297093 72.467028 \nL 97.339272 74.7019 \nL 103.712735 77.645167 \nL 110.269047 81.132392 \nL 116.871956 85.012178 \nL 123.401838 89.152656 \nL 129.758196 93.444496 \nL 135.860484 97.801091 \nL 141.647568 102.15685 \nL 147.07626 106.464432 \nL 152.119259 110.69146 \nL 156.762832 114.817317 \nL 161.004403 118.830252 \nL 164.850277 122.724867 \nL 168.31353 126.500147 \nL 171.412178 130.157925 \nL 174.167598 133.701736 \nL 176.603221 137.136034 \nL 178.74348 140.465628 \nL 180.612967 143.695334 \nL 182.2358 146.829759 \nL 183.635142 149.873189 \nL 184.832871 152.829557 \nL 185.849351 155.702424 \nL 186.703297 158.495004 \nL 187.989877 163.850564 \nL 188.808158 168.916161 \nL 189.247632 173.708173 \nL 189.37421 178.240261 \nL 189.233101 182.52374 \nL 188.851531 186.567779 \nL 188.241029 190.379185 \nL 187.399104 193.961961 \nL 186.310273 197.316508 \nL 184.946434 200.438374 \nL 183.266615 203.316377 \nL 182.291696 204.657948 \nL 181.216141 205.929877 \nL 180.030758 207.12745 \nL 178.725309 208.244767 \nL 177.288459 209.274524 \nL 175.707714 210.207713 \nL 173.969377 211.033309 \nL 172.058503 211.737879 \nL 169.958882 212.305128 \nL 167.653052 212.715378 \nL 165.122345 212.944947 \nL 162.347014 212.965502 \nL 159.306427 212.743281 \nL 155.979389 212.23833 \nL 152.344635 211.403699 \nL 148.381482 210.184698 \nL 144.070801 208.518334 \nL 139.396282 206.333068 \nL 134.346109 203.549105 \nL 128.915121 200.079546 \nL 123.107496 195.832766 \nL 116.940004 190.716504 \nL 110.445789 184.644127 \nL 103.678567 177.543581 \nL 96.716932 169.369163 \nL 89.668292 160.116032 \nL 82.671764 149.836422 \nL 75.899052 138.655683 \nL 69.55221 126.784981 \nL 63.857332 114.52666 \nL 59.053413 102.267901 \nL 55.376469 90.459484 \nL 53.039961 79.579255 \nL 52.213905 70.083795 \nL 53.005752 62.356298 \nL 55.446682 56.661143 \nL 59.485958 53.115299 \nL 64.99471 51.682818 \nL 71.778559 52.192499 \nL 79.596517 54.373162 \nL 88.182871 57.897079 \nL 97.268484 62.422384 \nL 106.59882 67.627219 \nL 115.94715 73.232348 \nL 125.122475 79.012228 \nL 133.972789 84.79665 \nL 142.384562 90.466021 \nL 150.279713 95.943254 \nL 157.611076 101.184477 \nL 164.357254 106.170193 \nL 170.517467 110.897706 \nL 176.106767 115.374986 \nL 181.151831 119.616112 \nL 185.687418 123.638015 \nL 189.753464 127.45828 \nL 193.392797 131.09377 \nL 196.649365 134.559847 \nL 199.566915 137.869994 \nL 204.553583 144.066356 \nL 208.669803 149.751611 \nL 219.907717 166.031845 \nL 221.447382 167.894946 \nL 223.031664 169.632155 \nL 224.67763 171.237004 \nL 226.401418 172.701569 \nL 228.218355 174.016368 \nL 230.143059 175.170182 \nL 232.189484 176.14988 \nL 234.370919 176.940272 \nL 236.699954 177.523887 \nL 239.188337 177.880848 \nL 241.846811 177.988745 \nL 244.684821 177.822563 \nL 247.710129 177.354731 \nL 250.928349 176.555285 \nL 254.342308 175.392284 \nL 257.951328 173.83241 \nL 261.750321 171.841975 \nL 265.728801 169.388306 \nL 269.869773 166.441667 \nL 274.148546 162.977689 \nL 278.53155 158.980402 \nL 282.975318 154.445778 \nL 287.425597 149.385615 \nL 291.816989 143.831599 \nL 296.073109 137.838908 \nL 300.107636 131.489018 \nL 303.826271 124.890881 \nL 307.129878 118.179849 \nL 309.918686 111.513755 \nL 312.097467 105.065981 \nL 313.581282 99.015689 \nL 314.301394 93.535986 \nL 314.210587 88.781415 \nL 313.287311 84.876454 \nL 311.538087 81.90651 \nL 308.997764 79.91293 \nL 305.727593 78.89256 \nL 301.811325 78.801698 \nL 297.349868 79.563503 \nL 292.45506 81.077556 \nL 287.243374 83.229983 \nL 281.830021 85.902942 \nL 276.324009 88.982351 \nL 270.824369 92.363608 \nL 265.417626 95.955035 \nL 260.176455 99.679468 \nL 255.159355 103.474272 \nL 250.411117 107.290347 \nL 245.963864 111.090499 \nL 241.838448 114.847538 \nL 238.046044 118.54234 \nL 234.589768 122.162087 \nL 231.466269 125.698716 \nL 228.667183 129.147588 \nL 226.180452 132.506519 \nL 223.991464 135.77492 \nL 222.084014 138.953257 \nL 220.441107 142.042564 \nL 219.045596 145.044164 \nL 217.880704 147.959461 \nL 216.930416 150.789766 \nL 216.179762 153.53623 \nL 215.61504 156.199774 \nL 215.223952 158.781016 \nL 214.995693 161.280268 \nL 214.921001 163.697483 \nL 214.992172 166.032235 \nL 215.203055 168.283657 \nL 215.549023 170.450421 \nL 216.026949 172.530646 \nL 216.635154 174.521841 \nL 217.373372 176.420824 \nL 218.242704 178.223616 \nL 219.245564 179.925284 \nL 220.385636 181.519844 \nL 221.667829 183.00007 \nL 223.098212 184.357294 \nL 224.683958 185.581197 \nL 226.433262 186.659568 \nL 228.355251 187.578007 \nL 230.459846 188.319653 \nL 232.757609 188.864852 \nL 235.259525 189.190832 \nL 237.976704 189.271396 \nL 240.920029 189.076627 \nL 244.099661 188.572693 \nL 247.52444 187.721759 \nL 251.201108 186.482104 \nL 255.133361 184.808528 \nL 259.320688 182.653165 \nL 263.757003 179.966858 \nL 268.429048 176.701221 \nL 273.314604 172.811584 \nL 278.380589 168.260875 \nL 283.581131 163.024612 \nL 288.855795 157.09679 \nL 294.128236 150.496468 \nL 299.305565 143.274501 \nL 304.278801 135.51949 \nL 308.924819 127.36184 \nL 313.110051 118.974507 \nL 316.696122 110.569179 \nL 319.547355 102.387075 \nL 321.539591 94.684194 \nL 322.569651 87.71227 \nL 322.56421 81.697614 \nL 321.486928 76.821077 \nL 319.342743 73.20244 \nL 316.178532 70.891944 \nL 312.080008 69.870186 \nL 307.165322 70.056073 \nL 301.576257 71.320681 \nL 295.468244 73.50427 \nL 289.0005 76.433533 \nL 282.32723 79.936587 \nL 275.590629 83.854374 \nL 268.916018 88.047922 \nL 262.409011 92.401819 \nL 256.154519 96.824575 \nL 250.217193 101.246971 \nL 244.64292 105.619128 \nL 239.460903 109.907091 \nL 234.686107 114.089381 \nL 230.321754 118.153894 \nL 226.361727 122.09528 \nL 222.792758 125.91279 \nL 219.59637 129.608655 \nL 216.750519 133.186886 \nL 214.230968 136.652403 \nL 212.012393 140.01047 \nL 210.069256 143.26633 \nL 208.376473 146.424972 \nL 206.909911 149.491042 \nL 205.646737 152.468757 \nL 204.565649 155.361956 \nL 203.647015 158.174078 \nL 202.227269 163.567213 \nL 201.265017 168.669643 \nL 200.663966 173.499238 \nL 200.351284 178.071238 \nL 200.274427 182.39888 \nL 200.39807 186.493751 \nL 200.701466 190.365903 \nL 201.176354 194.023781 \nL 201.825495 197.473974 \nL 202.661811 200.720756 \nL 203.708125 203.765336 \nL 204.997449 206.604753 \nL 206.573826 209.230204 \nL 207.486756 210.457761 \nL 208.493664 211.624581 \nL 209.603827 212.726631 \nL 210.827547 213.75882 \nL 212.176222 214.714767 \nL 213.662421 215.586564 \nL 215.299962 216.364439 \nL 217.103976 217.036398 \nL 219.090964 217.587778 \nL 221.278833 218.000716 \nL 223.686887 218.253552 \nL 226.335786 218.320117 \nL 229.247418 218.16895 \nL 232.444677 217.762406 \nL 235.951099 217.055732 \nL 239.790322 215.99612 \nL 243.985292 214.521822 \nL 248.557171 212.561484 \nL 253.523833 210.033869 \nL 258.897882 206.848245 \nL 264.684098 202.905866 \nL 270.876242 198.102981 \nL 277.453173 192.335993 \nL 284.374352 185.509388 \nL 291.574908 177.546944 \nL 298.960643 168.406461 \nL 306.403634 158.09757 \nL 313.739339 146.70118 \nL 320.766471 134.387803 \nL 327.250899 121.430408 \nL 332.934821 108.206563 \nL 337.55175 95.184698 \nL 340.84687 82.891558 \nL 342.600836 71.862132 \nL 342.653681 62.578799 \nL 340.924705 55.411488 \nL 337.424248 50.572269 \nL 332.254779 48.095172 \nL 325.600795 47.845177 \nL 317.709686 49.552469 \nL 308.867266 52.861732 \nL 299.372346 57.384433 \nL 289.514065 62.743728 \nL 279.554589 68.606148 \nL 269.717923 74.698765 \nL 260.184658 80.813898 \nL 251.09148 86.804917 \nL 234.572095 98.076795 \nL 227.234938 103.280186 \nL 220.5278 108.184304 \nL 214.437225 112.799226 \nL 208.936039 117.142445 \nL 203.987511 121.234813 \nL 199.548737 125.097867 \nL 195.573315 128.75214 \nL 192.013402 132.216184 \nL 188.821239 135.506142 \nL 183.3558 141.61568 \nL 178.830289 147.160613 \nL 169.734294 158.786659 \nL 166.375739 162.544145 \nL 164.663111 164.217986 \nL 162.902575 165.746622 \nL 161.076699 167.121778 \nL 159.169352 168.333601 \nL 157.165612 169.370578 \nL 155.051731 170.219427 \nL 152.815142 170.864994 \nL 150.444531 171.290197 \nL 147.929964 171.47596 \nL 147.929964 171.47596 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 26.925 273.312 \nL 26.925 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 384.045 273.312 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 26.925 273.312 \nL 384.045 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 7.2 \nL 384.045 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p4004c354e4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"26.925\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "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\n"
-     },
-     "metadata": {}
-    },
-    {
-     "output_type": "display_data",
-     "data": {
-      "text/plain": "<Figure size 640x480 with 1 Axes>",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"286.831705pt\" version=\"1.1\" viewBox=\"0 0 292.685081 286.831705\" width=\"292.685081pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-24T11:27:05.284972</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 286.831705 \nL 292.685081 286.831705 \nL 292.685081 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 7.2 273.312 \nL 273.312 273.312 \nL 273.312 7.2 \nL 7.2 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 27.293291 207.697309 \nL 115.172164 134.035495 \nL 113.950564 27.801991 \nL 21.866234 95.000941 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 115.172164 134.035495 \nL 256.186401 175.022766 \nL 261.218702 65.130171 \nL 113.950564 27.801991 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \nL 256.186401 175.022766 \nL 115.172164 134.035495 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 27.293291 207.697309 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 62.017754 219.038318 \nL 148.040742 143.589093 \nL 148.221302 36.488624 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 96.163772 230.190408 \nL 180.296034 152.964433 \nL 181.885377 45.021486 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 131.154404 241.618348 \nL 213.281737 162.552074 \nL 216.345402 53.756098 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 167.02138 253.332503 \nL 247.022944 172.359311 \nL 251.629943 62.6997 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 62.767401 218.380816 \nL 60.515212 220.356171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_1\">\n     <!-- −10 -->\n     <g transform=\"translate(43.962621 242.525102)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 96.897676 229.516748 \nL 94.692745 231.54068 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- 0 -->\n     <g transform=\"translate(85.517408 253.914384)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 131.871553 240.927929 \nL 129.716923 243.002251 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 10 -->\n     <g transform=\"translate(117.368648 265.586467)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 167.7207 252.62469 \nL 165.619599 254.751309 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 20 -->\n     <g transform=\"translate(153.281947 277.552017)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_6\">\n    <path d=\"M 256.186401 175.022766 \nL 176.775269 256.518123 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 34.169806 86.022355 \nL 38.996389 197.88754 \nL 187.391231 245.623534 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 50.640265 74.002964 \nL 54.681586 184.739897 \nL 201.599787 231.04206 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 66.610729 62.348446 \nL 69.91097 171.974326 \nL 215.374015 216.906314 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 82.103625 51.042436 \nL 84.704126 159.574409 \nL 228.733528 203.196167 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 97.140059 40.069532 \nL 99.079533 147.524658 \nL 241.696779 189.892682 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 111.739911 29.415225 \nL 113.054638 135.810447 \nL 254.28114 176.978032 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_7\">\n     <path d=\"M 186.141055 245.221375 \nL 189.894797 246.428887 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- −20 -->\n     <g transform=\"translate(189.650868 266.567412)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 200.36302 230.652285 \nL 204.076453 231.822596 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_6\">\n     <!-- −10 -->\n     <g transform=\"translate(203.668778 251.77013)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-2212\"/>\n      <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 214.150426 216.528361 \nL 217.824242 217.663163 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 0 -->\n     <g transform=\"translate(224.629034 237.425434)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 227.522891 202.829505 \nL 231.157775 203.930391 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 10 -->\n     <g transform=\"translate(234.627571 223.512874)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 240.498869 189.536813 \nL 244.095496 190.605282 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 20 -->\n     <g transform=\"translate(247.416207 210.013212)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_12\">\n     <path d=\"M 253.095736 176.632486 \nL 256.654774 177.669947 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 30 -->\n     <g transform=\"translate(259.830851 196.908335)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_13\">\n    <path d=\"M 256.186401 175.022766 \nL 261.218702 65.130171 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 256.282814 172.917346 \nL 115.148711 131.99596 \nL 27.189487 205.541739 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 257.244634 151.913652 \nL 114.914848 111.658579 \nL 26.153564 184.030135 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 258.223052 130.547494 \nL 114.677142 90.987074 \nL 25.099079 162.133077 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 259.218503 108.809406 \nL 114.435499 69.973142 \nL 24.025529 139.840113 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 260.231433 86.689593 \nL 114.189819 48.608206 \nL 22.932392 117.140405 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_14\">\n     <path d=\"M 255.098262 172.573889 \nL 258.654736 173.605077 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 0 -->\n     <g transform=\"translate(271.365529 177.914875)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 256.049569 151.575652 \nL 259.637634 152.590463 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- 10 -->\n     <g transform=\"translate(269.29896 156.952563)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 257.017285 130.215191 \nL 260.637507 131.212903 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 20 -->\n     <g transform=\"translate(270.432818 135.629606)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 258.00184 108.483051 \nL 261.654799 109.462913 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 30 -->\n     <g transform=\"translate(271.586353 113.936613)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_15\">\n    <g id=\"line2d_18\">\n     <path d=\"M 259.003677 86.369447 \nL 262.68997 87.330674 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 40 -->\n     <g transform=\"translate(272.760081 91.86387)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"line2d_19\">\n    <path clip-path=\"url(#pd76682be7c)\" d=\"M 140.372147 191.60557 \nL 140.662432 190.780053 \nL 141.256076 190.123876 \nL 142.150686 189.537476 \nL 144.124018 188.622461 \nL 157.193089 183.242463 \nL 162.433248 180.774573 \nL 168.930914 177.405252 \nL 172.714832 175.279883 \nL 176.884141 172.794452 \nL 181.452837 169.892568 \nL 186.424531 166.514042 \nL 191.787457 162.597719 \nL 197.508177 158.086262 \nL 203.524013 152.933495 \nL 209.734584 147.114938 \nL 215.993258 140.641739 \nL 222.100096 133.577577 \nL 227.79871 126.056696 \nL 232.780315 118.299401 \nL 236.698608 110.619132 \nL 239.198293 103.41354 \nL 239.957486 97.132816 \nL 238.739409 92.222757 \nL 235.442997 89.049332 \nL 230.137595 87.822226 \nL 223.067887 88.542213 \nL 214.622862 90.99373 \nL 205.2755 94.788698 \nL 195.510673 99.447425 \nL 185.761716 104.488809 \nL 167.571011 114.189868 \nL 159.501577 118.368518 \nL 152.218934 121.959051 \nL 145.723229 124.95738 \nL 139.977957 127.407615 \nL 134.925955 129.379214 \nL 130.500656 130.950449 \nL 123.257345 133.190608 \nL 117.735953 134.637112 \nL 104.54379 137.896696 \nL 100.591615 138.963177 \nL 98.510999 139.300897 \nL 97.174404 139.353938 \nL 95.871153 139.247648 \nL 94.611296 138.969425 \nL 93.416283 138.513824 \nL 92.316222 137.884122 \nL 91.34683 137.093677 \nL 90.545903 136.166779 \nL 89.94939 135.138668 \nL 89.587307 134.054419 \nL 89.479868 132.966535 \nL 89.634382 131.931221 \nL 90.04346 131.003856 \nL 90.684836 130.234136 \nL 91.52286 129.661769 \nL 92.511471 129.313356 \nL 93.59807 129.200894 \nL 94.727697 129.322043 \nL 95.846888 129.661805 \nL 96.90676 130.195189 \nL 97.865115 130.890265 \nL 98.687561 131.711114 \nL 99.347786 132.620311 \nL 99.827209 133.580789 \nL 100.1143 134.557079 \nL 100.203755 135.515951 \nL 100.095731 136.426649 \nL 99.795263 137.260853 \nL 99.311906 137.992538 \nL 98.659651 138.597834 \nL 97.857073 139.055058 \nL 96.927629 139.344966 \nL 95.900015 139.451355 \nL 94.808428 139.362035 \nL 93.692511 139.070171 \nL 92.596838 138.575909 \nL 91.569667 137.888124 \nL 90.660868 137.025978 \nL 89.918992 136.019927 \nL 89.387641 134.911745 \nL 89.101501 133.753155 \nL 89.082607 132.602962 \nL 89.337486 131.522805 \nL 89.855763 130.571968 \nL 90.610597 129.802124 \nL 91.560955 129.252833 \nL 92.655343 128.948554 \nL 93.836365 128.897602 \nL 95.04533 129.092988 \nL 96.226356 129.514751 \nL 97.329441 130.133174 \nL 98.312388 130.912213 \nL 99.141662 131.812647 \nL 99.792358 132.79459 \nL 100.247613 133.819269 \nL 100.497703 134.850114 \nL 100.53909 135.853204 \nL 100.373598 136.797358 \nL 100.007824 137.653943 \nL 99.45284 138.39661 \nL 98.724184 139.001136 \nL 97.842129 139.445403 \nL 96.832101 139.709739 \nL 95.725146 139.777594 \nL 94.558253 139.636689 \nL 93.374328 139.280566 \nL 92.221576 138.710467 \nL 91.152048 137.9373 \nL 90.219253 136.983389 \nL 89.474768 135.883504 \nL 88.964115 134.684705 \nL 88.722346 133.444592 \nL 88.769987 132.227809 \nL 89.110136 131.101028 \nL 89.72732 130.12708 \nL 90.588472 129.359164 \nL 91.645914 128.836163 \nL 92.841832 128.579851 \nL 94.113465 128.59434 \nL 95.398123 128.867593 \nL 96.637415 129.37442 \nL 97.780243 130.080266 \nL 98.784494 130.944985 \nL 99.617561 131.926143 \nL 100.256009 132.981542 \nL 100.684695 134.070863 \nL 100.895663 135.156552 \nL 100.887073 136.20412 \nL 100.662314 137.182016 \nL 100.229434 138.061293 \nL 99.600903 138.815269 \nL 98.793718 139.419265 \nL 97.829786 139.850639 \nL 96.736482 140.089131 \nL 95.547242 140.117698 \nL 94.301963 139.923831 \nL 93.047005 139.501326 \nL 91.834458 138.852473 \nL 90.720484 137.990275 \nL 89.762528 136.940401 \nL 89.015453 135.742253 \nL 88.526849 134.448606 \nL 88.332101 133.123408 \nL 88.450027 131.837556 \nL 88.879927 130.66306 \nL 89.600771 129.666378 \nL 90.572785 128.902091 \nL 91.741251 128.408084 \nL 93.04179 128.203021 \nL 94.40618 128.286382 \nL 95.767783 128.640729 \nL 97.06586 129.235422 \nL 98.248427 130.030956 \nL 99.273654 130.9831 \nL 100.110043 132.046315 \nL 100.73574 133.176218 \nL 101.13738 134.331076 \nL 101.308777 135.472499 \nL 101.249738 136.5655 \nL 100.965135 137.57821 \nL 100.464361 138.481376 \nL 99.761173 139.247924 \nL 98.873918 139.852653 \nL 97.826056 140.272248 \nL 96.646878 140.485705 \nL 95.372233 140.475288 \nL 94.045042 140.228048 \nL 92.715296 139.737879 \nL 91.439258 139.008004 \nL 90.277538 138.053531 \nL 89.29189 136.903603 \nL 88.540803 135.602537 \nL 88.074158 134.209264 \nL 87.92775 132.794579 \nL 88.118559 131.436112 \nL 88.641783 130.211566 \nL 89.470405 129.191184 \nL 90.557498 128.430875 \nL 91.840912 127.967266 \nL 93.249425 127.815555 \nL 94.709249 127.970197 \nL 96.14981 128.408023 \nL 97.508138 129.092743 \nL 98.731522 129.979826 \nL 99.77858 131.02097 \nL 100.619051 132.167611 \nL 101.232745 133.373303 \nL 101.608094 134.595031 \nL 101.740659 135.793662 \nL 101.631811 136.933799 \nL 101.287802 137.983273 \nL 100.719235 138.912534 \nL 99.941012 139.694059 \nL 98.972689 140.30202 \nL 97.839161 140.712269 \nL 96.571551 140.902861 \nL 95.208111 140.855123 \nL 93.794845 140.555406 \nL 92.385564 139.997447 \nL 91.04099 139.185203 \nL 89.826565 138.13578 \nL 88.808817 136.881863 \nL 88.050288 135.472942 \nL 87.603526 133.974507 \nL 87.50493 132.464732 \nL 87.769643 131.028551 \nL 88.388549 129.749835 \nL 89.328283 128.702898 \nL 90.534332 127.945035 \nL 91.936705 127.511479 \nL 93.457042 127.413653 \nL 95.015806 127.640682 \nL 96.538451 128.163381 \nL 97.959818 128.939605 \nL 99.226566 129.91971 \nL 100.297858 131.051323 \nL 101.144747 132.282916 \nL 101.748744 133.566077 \nL 102.100076 134.856598 \nL 102.195989 136.114686 \nL 102.039333 137.304581 \nL 101.637598 138.393866 \nL 101.002443 139.352661 \nL 100.149738 140.152943 \nL 99.100063 140.768138 \nL 97.879576 141.173113 \nL 96.521096 141.344728 \nL 95.065192 141.263089 \nL 93.560974 140.9135 \nL 92.066214 140.289181 \nL 90.646373 139.394497 \nL 89.372168 138.24832 \nL 88.315427 136.886818 \nL 87.543351 135.364795 \nL 87.111688 133.754696 \nL 87.057862 132.142651 \nL 87.395343 130.621578 \nL 88.110649 129.282146 \nL 89.163794 128.203227 \nL 90.492271 127.443747 \nL 92.017815 127.037545 \nL 93.654555 126.992113 \nL 95.31695 127.290993 \nL 96.926318 127.898738 \nL 98.415259 128.767144 \nL 99.729801 129.841339 \nL 100.829686 131.064837 \nL 101.687298 132.383161 \nL 102.285844 133.745976 \nL 102.617307 135.107942 \nL 102.680544 136.428674 \nL 102.479769 137.672097 \nL 102.023561 138.805552 \nL 101.324447 139.798827 \nL 100.399046 140.623339 \nL 99.26872 141.251656 \nL 97.96065 141.657467 \nL 96.509126 141.816195 \nL 94.956876 141.706355 \nL 93.356046 141.311769 \nL 91.768435 140.624651 \nL 90.264506 139.649279 \nL 88.920713 138.405862 \nL 87.814848 136.933787 \nL 87.019548 135.293178 \nL 86.594568 133.563754 \nL 86.579022 131.840222 \nL 86.985189 130.224293 \nL 87.342059 129.487844 \nL 87.795372 128.814309 \nL 88.338383 128.213676 \nL 88.962816 127.694461 \nL 89.659106 127.263507 \nL 91.224178 126.684614 \nL 92.941991 126.49496 \nL 94.718611 126.684592 \nL 96.465783 127.22057 \nL 98.106642 128.053785 \nL 99.578805 129.126085 \nL 100.835157 130.376405 \nL 101.842905 131.745302 \nL 102.581613 133.177744 \nL 103.040833 134.624356 \nL 103.217833 136.041516 \nL 103.115696 137.390702 \nL 102.74199 138.637445 \nL 102.108061 139.750164 \nL 101.228984 140.699093 \nL 100.124105 141.455494 \nL 98.818101 141.991312 \nL 97.342421 142.279442 \nL 95.73688 142.294741 \nL 94.051149 142.016003 \nL 92.345628 141.428909 \nL 90.691275 140.529892 \nL 89.167751 139.330576 \nL 87.859433 137.862028 \nL 86.849159 136.177822 \nL 86.210064 134.354532 \nL 85.996579 132.488605 \nL 86.059287 131.573523 \nL 86.236308 130.68911 \nL 86.526009 129.849206 \nL 86.924639 129.066971 \nL 87.426414 128.354526 \nL 88.023662 127.72258 \nL 88.70706 127.180159 \nL 89.465908 126.734373 \nL 90.288442 126.390288 \nL 91.162182 126.150882 \nL 93.011763 125.987871 \nL 94.912772 126.230516 \nL 96.770918 126.839491 \nL 98.505431 127.758947 \nL 100.052027 128.924548 \nL 101.36329 130.270139 \nL 102.407218 131.732477 \nL 103.164782 133.253948 \nL 103.627156 134.78361 \nL 103.793153 136.276998 \nL 103.667138 137.695196 \nL 103.257614 139.00353 \nL 102.576507 140.170185 \nL 101.639181 141.164961 \nL 100.465111 141.95833 \nL 99.079124 142.520985 \nL 97.513082 142.824057 \nL 95.80779 142.840157 \nL 94.014782 142.545475 \nL 92.19754 141.923036 \nL 90.431529 140.967004 \nL 88.802391 139.687793 \nL 87.401713 138.117047 \nL 86.320138 136.311392 \nL 85.638183 134.353346 \nL 85.466928 133.349335 \nL 85.416002 132.348035 \nL 85.488203 131.364784 \nL 85.684049 130.415078 \nL 86.001685 129.514116 \nL 86.436892 128.676346 \nL 86.983188 127.915014 \nL 87.63201 127.241773 \nL 88.372977 126.666356 \nL 89.194215 126.196332 \nL 90.082721 125.836964 \nL 91.024754 125.591173 \nL 92.006213 125.459589 \nL 94.0314 125.531075 \nL 96.051277 126.017798 \nL 97.971933 126.864256 \nL 99.717087 128.002503 \nL 101.229409 129.360475 \nL 102.469399 130.868172 \nL 103.412801 132.461456 \nL 104.047452 134.083731 \nL 104.370156 135.686066 \nL 104.384066 137.226261 \nL 104.096761 138.66743 \nL 103.519088 139.976345 \nL 102.664838 141.121884 \nL 101.551155 142.073721 \nL 100.19967 142.801456 \nL 98.638184 143.274331 \nL 96.902791 143.461766 \nL 95.040138 143.334917 \nL 93.109406 142.869475 \nL 91.183426 142.04985 \nL 89.348184 140.874489 \nL 87.69994 139.361875 \nL 86.33936 137.556042 \nL 85.797461 136.564825 \nL 85.362583 135.529972 \nL 85.044196 134.465038 \nL 84.850048 133.38503 \nL 84.785818 132.306079 \nL 84.85486 131.245035 \nL 85.05798 130.218985 \nL 85.393341 129.244747 \nL 85.856453 128.338328 \nL 86.440282 127.514418 \nL 87.135461 126.785929 \nL 87.930585 126.163611 \nL 88.812581 125.655776 \nL 89.767145 125.268138 \nL 90.779167 125.003781 \nL 91.833179 124.863212 \nL 92.913769 124.844546 \nL 94.005955 124.943768 \nL 96.169127 125.471004 \nL 98.221646 126.382432 \nL 100.082562 127.60273 \nL 101.692125 129.053102 \nL 103.010194 130.658088 \nL 104.013069 132.349524 \nL 104.689785 134.068129 \nL 105.038561 135.763383 \nL 105.063837 137.392302 \nL 104.774124 138.917685 \nL 104.180745 140.306204 \nL 103.297456 141.526595 \nL 102.14091 142.548118 \nL 100.731883 143.339481 \nL 99.097173 143.868354 \nL 97.272014 144.10175 \nL 95.302727 144.007496 \nL 93.249214 143.557074 \nL 91.186625 142.73004 \nL 89.205407 141.519921 \nL 87.408752 139.941109 \nL 86.61398 139.025328 \nL 85.906655 138.035563 \nL 85.300017 136.982143 \nL 84.806354 135.877483 \nL 84.436581 134.735976 \nL 84.199798 133.573745 \nL 84.102889 132.408319 \nL 84.150191 131.258171 \nL 84.343226 130.142201 \nL 84.680554 129.079131 \nL 85.157754 128.086908 \nL 85.767506 127.182081 \nL 86.499822 126.379271 \nL 87.342387 125.690711 \nL 88.280965 125.1259 \nL 89.299891 124.691415 \nL 90.382571 124.39084 \nL 91.512001 124.224855 \nL 92.671233 124.191428 \nL 93.843819 124.286113 \nL 95.014152 124.502403 \nL 97.291497 125.265922 \nL 99.404172 126.404119 \nL 101.276864 127.830971 \nL 102.857369 129.461587 \nL 104.113487 131.218155 \nL 105.028867 133.032771 \nL 105.5987 134.84796 \nL 105.825956 136.615643 \nL 105.718452 138.295275 \nL 105.286909 139.851641 \nL 104.543988 141.252686 \nL 103.504282 142.467537 \nL 102.185189 143.464912 \nL 100.608599 144.212039 \nL 98.80329 144.674322 \nL 96.80783 144.815971 \nL 94.673733 144.601938 \nL 92.468285 144.001513 \nL 90.276302 142.993759 \nL 88.199777 141.574656 \nL 87.240576 140.716229 \nL 86.354279 139.765261 \nL 85.556182 138.729559 \nL 84.861228 137.619303 \nL 84.283542 136.447076 \nL 83.835926 135.227797 \nL 83.529364 133.978512 \nL 83.372537 132.718048 \nL 83.371382 131.466547 \nL 83.528769 130.244898 \nL 83.844264 129.07406 \nL 84.314056 127.974345 \nL 84.931011 126.964725 \nL 85.684892 126.062147 \nL 86.562716 125.280983 \nL 87.549208 124.632587 \nL 88.627355 124.125026 \nL 89.778983 123.762962 \nL 90.985355 123.547723 \nL 92.227726 123.477518 \nL 93.48786 123.54775 \nL 94.748443 123.751439 \nL 95.993422 124.079687 \nL 97.208246 124.522151 \nL 99.497555 125.703914 \nL 101.533708 127.201752 \nL 103.260148 128.9223 \nL 104.642776 130.780664 \nL 105.665061 132.703617 \nL 106.323045 134.630073 \nL 106.620962 136.509807 \nL 106.567837 138.30124 \nL 106.175198 139.968885 \nL 105.455876 141.480842 \nL 104.423851 142.806502 \nL 103.095062 143.91463 \nL 101.489118 144.771976 \nL 99.631831 145.342541 \nL 97.558428 145.587827 \nL 95.317197 145.468401 \nL 92.973068 144.947203 \nL 90.610382 143.994934 \nL 89.454008 143.35195 \nL 88.333715 142.597669 \nL 87.265338 141.734284 \nL 86.265422 140.766133 \nL 85.350886 139.699974 \nL 84.538597 138.545201 \nL 83.844863 137.313936 \nL 83.284886 136.021056 \nL 82.872177 134.684048 \nL 82.61796 133.32271 \nL 82.530642 131.958706 \nL 82.615337 130.614953 \nL 82.873541 129.314895 \nL 83.302927 128.081697 \nL 83.897343 126.937391 \nL 84.646971 125.902068 \nL 85.538673 124.993152 \nL 86.556477 124.224815 \nL 87.682175 123.607571 \nL 88.895998 123.148066 \nL 90.177305 122.849089 \nL 91.505252 122.709748 \nL 92.859416 122.725825 \nL 94.220302 122.890239 \nL 95.56977 123.193561 \nL 96.891344 123.624601 \nL 98.170404 124.170945 \nL 100.552259 125.556823 \nL 102.63705 127.245399 \nL 104.374634 129.136989 \nL 105.737887 131.144078 \nL 106.716777 133.19343 \nL 107.312777 135.225494 \nL 107.534225 137.192274 \nL 107.392907 139.054514 \nL 106.901888 140.778727 \nL 106.074533 142.3344 \nL 104.924614 143.69151 \nL 103.467449 144.818463 \nL 101.721997 145.680592 \nL 99.713837 146.239369 \nL 97.478944 146.452675 \nL 95.067955 146.276553 \nL 92.550429 145.668956 \nL 91.27949 145.19223 \nL 90.018194 144.596029 \nL 88.781684 143.878858 \nL 87.586435 143.040975 \nL 86.450038 142.084756 \nL 85.390903 141.015057 \nL 84.427857 139.83953 \nL 83.579631 138.568869 \nL 82.864276 137.216935 \nL 82.298488 135.800753 \nL 81.896935 134.340325 \nL 81.671562 132.858259 \nL 81.630972 131.379194 \nL 81.779902 129.929058 \nL 82.118873 128.534172 \nL 82.644018 127.220281 \nL 83.347125 126.011557 \nL 84.215896 124.929653 \nL 85.234427 123.992902 \nL 86.383817 123.215687 \nL 87.642928 122.60805 \nL 88.989185 122.175561 \nL 90.399383 121.919407 \nL 91.850453 121.836711 \nL 93.320128 121.92102 \nL 94.78749 122.162892 \nL 96.233404 122.550568 \nL 97.640777 123.070632 \nL 98.994736 123.708638 \nL 100.282662 124.449689 \nL 102.62083 126.181787 \nL 104.595918 128.154389 \nL 106.175785 130.268649 \nL 107.348563 132.442434 \nL 108.11599 134.609929 \nL 108.487791 136.719253 \nL 108.477449 138.729214 \nL 108.099404 140.605885 \nL 107.367588 142.319345 \nL 106.295156 143.840792 \nL 104.895326 145.140036 \nL 103.183268 146.183528 \nL 101.178993 146.932959 \nL 98.911216 147.344803 \nL 96.422037 147.371109 \nL 93.772074 146.96228 \nL 92.412016 146.579985 \nL 91.045295 146.072387 \nL 89.686607 145.435708 \nL 88.352352 144.667643 \nL 87.060524 143.767772 \nL 85.8305 142.738021 \nL 84.682705 141.583085 \nL 83.638157 140.31084 \nL 82.71789 138.932642 \nL 81.942263 137.463519 \nL 81.330195 135.922196 \nL 80.898345 134.330898 \nL 80.660293 132.714936 \nL 80.625794 131.102032 \nL 80.800171 129.521447 \nL 81.183872 128.002922 \nL 81.772285 126.575507 \nL 82.555806 125.266361 \nL 83.520164 124.099658 \nL 84.647007 123.09562 \nL 85.914658 122.269807 \nL 87.299025 121.632697 \nL 88.774554 121.189566 \nL 90.315186 120.940656 \nL 91.895236 120.881625 \nL 93.490155 121.004141 \nL 95.077125 121.29665 \nL 96.635514 121.745154 \nL 98.147148 122.334012 \nL 99.596446 123.046676 \nL 100.970419 123.866311 \nL 102.258571 124.776339 \nL 104.546834 126.804891 \nL 106.419504 129.017553 \nL 107.860098 131.318966 \nL 108.869302 133.633451 \nL 109.457994 135.902574 \nL 109.641836 138.081463 \nL 109.437552 140.134803 \nL 108.860712 142.03304 \nL 107.924879 143.748979 \nL 106.641956 145.254806 \nL 105.023654 146.519583 \nL 103.084034 147.507232 \nL 100.843169 148.175204 \nL 98.331872 148.474175 \nL 96.988758 148.468284 \nL 95.597357 148.349318 \nL 94.167145 148.110155 \nL 92.70937 147.743974 \nL 91.237196 147.244538 \nL 89.765798 146.606576 \nL 88.312385 145.826221 \nL 86.896129 144.901498 \nL 85.537976 143.83285 \nL 84.260349 142.623679 \nL 83.086664 141.280859 \nL 82.040726 139.815183 \nL 81.145963 138.241671 \nL 80.424537 136.579701 \nL 79.896383 134.852894 \nL 79.578227 133.088734 \nL 79.48265 131.317869 \nL 79.61728 129.573144 \nL 79.984208 127.888388 \nL 80.57967 126.297025 \nL 81.39404 124.830638 \nL 82.412172 123.517579 \nL 83.614018 122.381775 \nL 84.97553 121.441811 \nL 86.469716 120.710342 \nL 88.067795 120.193931 \nL 89.740337 119.893219 \nL 91.458321 119.803412 \nL 93.194056 119.91505 \nL 94.921896 120.21489 \nL 96.618764 120.686874 \nL 98.264477 121.313098 \nL 99.84188 122.074669 \nL 101.336836 122.952486 \nL 102.738091 123.927848 \nL 104.037052 124.982928 \nL 105.227507 126.101103 \nL 107.268106 128.467404 \nL 108.846007 130.923196 \nL 109.965933 133.388172 \nL 110.643144 135.802008 \nL 110.897292 138.119848 \nL 110.748207 140.307658 \nL 110.21338 142.337904 \nL 109.306917 144.185752 \nL 108.039757 145.825784 \nL 106.42102 147.229155 \nL 104.460508 148.361191 \nL 102.172368 149.179551 \nL 100.912232 149.455497 \nL 99.580014 149.633202 \nL 98.181103 149.704996 \nL 96.722293 149.662828 \nL 95.212019 149.498418 \nL 93.660595 149.203478 \nL 92.080416 148.769998 \nL 90.486147 148.190606 \nL 88.894823 147.459028 \nL 87.325891 146.570606 \nL 85.801128 145.522905 \nL 84.34441 144.316361 \nL 82.981329 142.954946 \nL 81.73861 141.446796 \nL 80.64335 139.804734 \nL 79.72206 138.046653 \nL 78.999579 136.195612 \nL 78.49789 134.279667 \nL 78.234929 132.331316 \nL 78.223477 130.38656 \nL 78.470256 128.483641 \nL 78.975308 126.661468 \nL 79.731741 124.957883 \nL 80.725878 123.407907 \nL 81.937829 122.042121 \nL 83.342394 120.885308 \nL 84.910272 119.955531 \nL 86.609416 119.263669 \nL 88.406436 118.813414 \nL 90.267949 118.601722 \nL 92.161755 118.619626 \nL 94.057812 118.853269 \nL 95.928946 119.285086 \nL 97.751312 119.894984 \nL 99.504617 120.661458 \nL 101.172143 121.562567 \nL 102.740616 122.576733 \nL 104.19994 123.683356 \nL 105.542885 124.86325 \nL 106.7647 126.098913 \nL 107.862742 127.37465 \nL 109.685185 129.992748 \nL 111.017354 132.62746 \nL 111.878771 135.212847 \nL 112.293913 137.701705 \nL 112.287084 140.060042 \nL 111.879267 142.262049 \nL 111.086603 144.285781 \nL 109.920232 146.109464 \nL 108.387292 147.708295 \nL 106.493044 149.051607 \nL 104.244193 150.100461 \nL 102.990397 150.499546 \nL 101.653543 150.805729 \nL 100.237192 151.011121 \nL 98.746145 151.107178 \nL 97.186702 151.084779 \nL 95.566957 150.934357 \nL 93.897084 150.646131 \nL 92.189607 150.21039 \nL 90.459652 149.617891 \nL 88.725136 148.860347 \nL 87.006857 147.931047 \nL 85.328482 146.825537 \nL 83.716355 145.542421 \nL 82.199116 144.084174 \nL 80.807091 142.457967 \nL 79.571434 140.676387 \nL 78.523044 138.757988 \nL 77.69126 136.727563 \nL 77.102427 134.61604 \nL 76.778416 132.459931 \nL 76.735226 130.300305 \nL 76.981803 128.181271 \nL 77.519206 126.148092 \nL 78.340238 124.245044 \nL 79.429573 122.513217 \nL 80.764432 120.988463 \nL 82.315702 119.699726 \nL 84.049416 118.667828 \nL 85.928443 117.904919 \nL 87.914223 117.414528 \nL 89.968409 117.192152 \nL 92.054292 117.226308 \nL 94.137945 117.499884 \nL 96.189028 117.991613 \nL 98.181283 118.677544 \nL 100.092734 119.532397 \nL 101.905647 120.530704 \nL 103.606303 121.64776 \nL 105.184641 122.860292 \nL 106.633839 124.146919 \nL 107.949834 125.488408 \nL 109.130856 126.867778 \nL 110.176985 128.270271 \nL 111.871628 131.096005 \nL 113.056523 133.886582 \nL 113.761968 136.587362 \nL 114.018973 139.161306 \nL 113.854877 141.582881 \nL 113.290951 143.832902 \nL 112.341516 145.894247 \nL 111.014311 147.748232 \nL 109.311928 149.371402 \nL 108.320047 150.087085 \nL 107.234348 150.732637 \nL 106.05504 151.302522 \nL 104.782724 151.790411 \nL 103.418596 152.189111 \nL 101.964684 152.490549 \nL 100.424119 152.685748 \nL 98.80143 152.764861 \nL 97.102871 152.717264 \nL 95.336777 152.531685 \nL 93.513909 152.196462 \nL 91.647815 151.699854 \nL 89.755146 151.030524 \nL 87.855914 150.17812 \nL 85.973641 149.134008 \nL 84.135373 147.892151 \nL 82.371464 146.450089 \nL 80.715138 144.809978 \nL 79.201744 142.979658 \nL 77.867684 140.973579 \nL 76.749052 138.813517 \nL 75.879986 136.528919 \nL 75.290855 134.156768 \nL 75.006385 131.740814 \nL 75.043934 129.330206 \nL 75.412055 126.977476 \nL 76.109566 124.736059 \nL 77.125231 122.657522 \nL 78.438132 120.788778 \nL 80.018712 119.169585 \nL 81.830372 117.830603 \nL 83.83148 116.792173 \nL 85.97754 116.063904 \nL 88.223361 115.645074 \nL 90.525003 115.525723 \nL 92.841378 115.688207 \nL 95.135443 116.109021 \nL 97.374967 116.760727 \nL 99.532888 117.613745 \nL 101.587353 118.637901 \nL 103.521469 119.803723 \nL 105.322905 121.083373 \nL 106.98335 122.451286 \nL 108.497938 123.884546 \nL 109.864657 125.363033 \nL 111.083786 126.869406 \nL 112.157366 128.388955 \nL 113.088744 129.909394 \nL 114.542398 132.914372 \nL 115.483598 135.824442 \nL 115.952058 138.601521 \nL 115.982959 141.221925 \nL 115.603899 143.670325 \nL 114.833565 145.934941 \nL 113.681682 148.003608 \nL 112.149975 149.860386 \nL 111.240489 150.702542 \nL 110.234081 151.482459 \nL 109.129742 152.195706 \nL 107.926525 152.837033 \nL 106.623718 153.400288 \nL 105.221047 153.878321 \nL 103.718921 154.262908 \nL 102.118706 154.544707 \nL 100.423051 154.713213 \nL 98.636248 154.756792 \nL 96.764634 154.662747 \nL 94.817034 154.41749 \nL 92.805209 154.006808 \nL 90.744314 153.416258 \nL 88.653327 152.63174 \nL 86.555376 151.640225 \nL 84.47798 150.430695 \nL 82.453053 148.995278 \nL 80.516671 147.330506 \nL 78.70849 145.438725 \nL 77.070771 143.329453 \nL 75.646964 141.020616 \nL 74.479897 138.539456 \nL 73.609596 135.92291 \nL 73.070896 133.217308 \nL 72.891042 130.477199 \nL 73.087513 127.763333 \nL 73.666356 125.139804 \nL 74.621246 122.670621 \nL 75.933435 120.416013 \nL 77.572635 118.428899 \nL 79.498753 116.751868 \nL 81.664303 115.415099 \nL 84.017161 114.435346 \nL 86.503417 113.816027 \nL 89.070031 113.548375 \nL 91.667048 113.613296 \nL 94.249287 113.983732 \nL 96.77744 114.627172 \nL 99.218626 115.508063 \nL 101.546459 116.589931 \nL 103.740776 117.837085 \nL 105.787094 119.215913 \nL 107.675934 120.695717 \nL 109.40206 122.249191 \nL 110.963729 123.852602 \nL 112.36197 125.485748 \nL 113.599925 127.13174 \nL 114.682265 128.77672 \nL 115.614704 130.409501 \nL 117.055454 133.604963 \nL 117.974461 136.668768 \nL 118.420844 139.573104 \nL 118.435746 142.303637 \nL 118.049855 144.853374 \nL 117.282514 147.217964 \nL 116.141935 149.392027 \nL 114.626195 151.365995 \nL 112.724978 153.123091 \nL 111.624912 153.912336 \nL 110.422165 154.636205 \nL 109.114434 155.289123 \nL 107.699619 155.864429 \nL 106.176037 156.35424 \nL 104.542706 156.749356 \nL 102.799647 157.03915 \nL 100.94827 157.211505 \nL 98.991804 157.252774 \nL 96.935793 157.147838 \nL 94.788643 156.880233 \nL 92.562215 156.432401 \nL 90.272441 155.786132 \nL 87.939911 154.923194 \nL 85.590396 153.826207 \nL 83.255241 152.479791 \nL 80.971503 150.871996 \nL 78.781775 148.995985 \nL 76.733554 146.85189 \nL 74.878079 144.448739 \nL 73.268564 141.806211 \nL 71.957831 138.956007 \nL 70.995415 135.942516 \nL 70.42435 132.822505 \nL 70.277911 129.66361 \nL 70.576678 126.541548 \nL 71.326331 123.536181 \nL 72.51651 120.726762 \nL 74.120952 118.186826 \nL 76.09896 115.979456 \nL 78.398042 114.153384 \nL 80.957348 112.740523 \nL 83.71154 111.755094 \nL 86.594576 111.194343 \nL 89.54306 111.040582 \nL 92.498892 111.264138 \nL 95.411103 111.826785 \nL 98.236845 112.685148 \nL 100.941699 113.793783 \nL 103.499405 115.107744 \nL 105.891201 116.584503 \nL 108.104918 118.185235 \nL 110.133985 119.875554 \nL 111.976399 121.625799 \nL 113.63377 123.410983 \nL 115.110438 125.2105 \nL 116.412714 127.007724 \nL 117.548235 128.78951 \nL 118.52542 130.545704 \nL 120.03985 133.952805 \nL 121.024595 137.19032 \nL 121.541109 140.241191 \nL 121.639468 143.101262 \nL 121.356459 145.773051 \nL 120.715127 148.261355 \nL 119.725196 150.569981 \nL 118.383995 152.699075 \nL 116.677764 154.642621 \nL 114.583409 156.38569 \nL 112.070947 157.901177 \nL 110.647542 158.560806 \nL 109.107183 159.145786 \nL 107.446139 159.647376 \nL 105.661337 160.055195 \nL 103.750727 160.357048 \nL 101.713713 160.53877 \nL 99.551682 160.584127 \nL 97.268614 160.474773 \nL 94.871795 160.190313 \nL 92.372607 159.70851 \nL 89.78738 159.005709 \nL 87.138262 158.05752 \nL 84.454049 156.839852 \nL 81.770867 155.330339 \nL 79.132592 153.510197 \nL 76.590844 151.366514 \nL 74.204369 148.894875 \nL 72.037668 146.102203 \nL 70.15873 143.009472 \nL 68.635815 139.653949 \nL 67.533415 136.090445 \nL 66.907637 132.391145 \nL 66.801457 128.643589 \nL 67.240478 124.946676 \nL 68.229779 121.404833 \nL 69.752446 118.120921 \nL 71.770116 115.188781 \nL 74.225535 112.686362 \nL 77.046779 110.670499 \nL 80.152568 109.173974 \nL 83.457902 108.205132 \nL 86.879312 107.749854 \nL 90.339219 107.775347 \nL 93.769039 108.234959 \nL 97.111028 109.0733 \nL 100.318945 110.230999 \nL 103.357809 111.648743 \nL 106.202984 113.270264 \nL 108.838905 115.044384 \nL 111.25762 116.926172 \nL 113.457328 118.877329 \nL 115.441013 120.866097 \nL 117.215224 122.866807 \nL 118.789031 124.859217 \nL 120.17316 126.827777 \nL 121.379285 128.76089 \nL 123.30573 132.490048 \nL 124.662466 136.008354 \nL 125.53436 139.304172 \nL 125.992278 142.381346 \nL 126.09122 145.251784 \nL 125.870157 147.930725 \nL 125.352739 150.433696 \nL 124.54834 152.774489 \nL 123.45314 154.963624 \nL 122.051107 157.006943 \nL 120.314877 158.903938 \nL 118.206689 160.64557 \nL 115.679678 162.211161 \nL 112.680082 163.56407 \nL 110.985293 164.14354 \nL 109.151188 164.645799 \nL 107.17136 165.058875 \nL 105.040338 165.368394 \nL 102.754117 165.557294 \nL 100.310792 165.60555 \nL 97.711364 165.48996 \nL 94.960707 165.184032 \nL 92.068682 164.65804 \nL 89.051428 163.879362 \nL 85.932743 162.81317 \nL 82.745506 161.42363 \nL 79.53299 159.675731 \nL 76.349872 157.537867 \nL 73.262707 154.98521 \nL 70.34947 152.00384 \nL 67.697944 148.595406 \nL 65.402557 144.781864 \nL 63.559558 140.609637 \nL 62.260634 136.15227 \nL 61.585383 131.510627 \nL 61.593488 126.809811 \nL 62.317732 122.192459 \nL 63.759074 117.808761 \nL 65.884852 113.804242 \nL 68.630654 110.307254 \nL 71.905657 107.4181 \nL 75.600605 105.201626 \nL 79.597055 103.684322 \nL 83.776467 102.856037 \nL 88.027917 102.675416 \nL 92.253678 103.077718 \nL 96.372479 103.983513 \nL 100.320637 105.306853 \nL 104.051519 106.962107 \nL 107.533896 108.869002 \nL 110.749722 110.955822 \nL 113.691685 113.161005 \nL 116.360868 115.433537 \nL 118.764628 117.732474 \nL 120.914797 120.025938 \nL 122.826197 122.289889 \nL 124.515456 124.506825 \nL 126.000094 126.664548 \nL 128.426038 130.773649 \nL 130.239823 134.58783 \nL 131.562978 138.108282 \nL 132.498435 141.352072 \nL 133.129744 144.343385 \nL 133.522222 147.108514 \nL 133.766783 150.887906 \nL 133.691041 154.294201 \nL 133.350423 157.393625 \nL 132.758066 160.240876 \nL 131.892037 162.88103 \nL 131.137116 164.544711 \nL 130.212649 166.142145 \nL 129.086877 167.680797 \nL 127.719713 169.165889 \nL 126.06151 170.599348 \nL 124.05165 171.977986 \nL 121.617148 173.290539 \nL 118.671663 174.512986 \nL 115.115612 175.601371 \nL 110.838773 176.481034 \nL 108.394373 176.80719 \nL 105.727706 177.031208 \nL 102.826724 177.12737 \nL 99.681951 177.064216 \nL 96.287911 176.803723 \nL 92.64497 176.300594 \nL 88.76167 175.501783 \nL 84.657548 174.346514 \nL 80.366425 172.767081 \nL 75.940025 170.690839 \nL 71.451588 168.043881 \nL 66.99896 164.75685 \nL 62.706372 160.773276 \nL 58.723796 156.060402 \nL 55.222728 150.621858 \nL 52.387316 144.510666 \nL 50.400403 137.839878 \nL 49.425126 130.787472 \nL 49.584353 123.592027 \nL 50.941638 116.537001 \nL 53.48814 109.924134 \nL 57.139315 104.039853 \nL 61.742992 99.121514 \nL 67.09736 95.330825 \nL 72.974914 92.740299 \nL 79.146934 91.334511 \nL 85.403953 91.024058 \nL 91.569422 91.667342 \nL 97.506054 93.094443 \nL 103.116035 95.128511 \nL 108.337087 97.602044 \nL 113.13642 100.367174 \nL 117.504132 103.300648 \nL 121.447069 106.304665 \nL 124.983643 109.305108 \nL 128.139728 112.248342 \nL 130.94557 115.097514 \nL 133.433535 117.828897 \nL 137.58698 122.890255 \nL 140.853113 127.395951 \nL 143.459769 131.367197 \nL 149.944635 141.694311 \nL 151.587517 143.783168 \nL 153.316393 145.531232 \nL 155.206352 146.942918 \nL 157.324052 148.010437 \nL 158.48737 148.409261 \nL 159.729791 148.713386 \nL 161.057941 148.918237 \nL 162.477998 149.018419 \nL 163.995595 149.007742 \nL 165.615659 148.879253 \nL 167.342212 148.625309 \nL 169.178097 148.237689 \nL 171.124653 147.707743 \nL 173.181299 147.026654 \nL 175.345061 146.185746 \nL 177.610011 145.176939 \nL 179.966649 143.993299 \nL 182.401237 142.629764 \nL 184.895108 141.084003 \nL 187.424007 139.357427 \nL 189.957541 137.456316 \nL 192.458797 135.393025 \nL 194.884263 133.18714 \nL 197.18418 130.866497 \nL 199.303419 128.467827 \nL 201.18303 126.036872 \nL 202.762507 123.627727 \nL 203.982745 121.301236 \nL 204.789593 119.122342 \nL 205.137744 117.156437 \nL 204.994566 115.464976 \nL 204.343439 114.100749 \nL 203.186075 113.103456 \nL 201.543467 112.496245 \nL 199.455148 112.283731 \nL 196.976847 112.451965 \nL 194.176746 112.970329 \nL 191.130849 113.795023 \nL 187.918067 114.873644 \nL 184.615576 116.150067 \nL 178.019337 119.07961 \nL 171.804395 122.209031 \nL 166.267352 125.288555 \nL 161.551939 128.192912 \nL 157.687547 130.886791 \nL 154.631517 133.384289 \nL 152.30393 135.717497 \nL 150.612013 137.91779 \nL 149.465363 140.007419 \nL 148.784417 141.99751 \nL 148.504447 143.889176 \nL 148.576841 145.675626 \nL 148.968882 147.344098 \nL 149.662804 148.877172 \nL 150.654601 150.253274 \nL 151.952796 151.446446 \nL 153.577258 152.425445 \nL 155.557946 153.152289 \nL 157.933329 153.58035 \nL 160.748029 153.652243 \nL 164.049008 153.297839 \nL 167.879278 152.433125 \nL 170.002878 151.779524 \nL 172.267802 150.961222 \nL 174.672935 149.964964 \nL 177.213973 148.777749 \nL 179.882548 147.387476 \nL 182.665257 145.783809 \nL 185.542587 143.959293 \nL 188.487837 141.910746 \nL 191.466086 139.640892 \nL 194.433361 137.160187 \nL 197.336126 134.48876 \nL 200.111352 131.658211 \nL 202.687365 128.713063 \nL 204.985676 125.711436 \nL 206.924013 122.724611 \nL 208.420538 119.835036 \nL 209.399184 117.132576 \nL 209.795678 114.708941 \nL 209.563654 112.650676 \nL 208.680048 111.031463 \nL 207.148832 109.904806 \nL 205.002379 109.298413 \nL 202.299983 109.211325 \nL 199.123635 109.61445 \nL 195.571588 110.454507 \nL 191.750707 111.660584 \nL 187.768711 113.152138 \nL 183.727309 114.847033 \nL 175.813739 118.549611 \nL 168.552758 122.290907 \nL 162.243534 125.801875 \nL 156.986238 128.989308 \nL 152.749371 131.867506 \nL 149.429844 134.496561 \nL 146.895711 136.94279 \nL 145.012446 139.25984 \nL 143.657111 141.483369 \nL 142.724751 143.63259 \nL 142.130179 145.714382 \nL 141.807291 147.727522 \nL 141.707224 149.666083 \nL 141.796146 151.521789 \nL 142.053132 153.285346 \nL 142.468373 154.947014 \nL 143.041795 156.49661 \nL 143.782157 157.923048 \nL 144.70658 159.213583 \nL 145.840478 160.352716 \nL 147.217842 161.320791 \nL 148.881764 162.092186 \nL 150.885059 162.633009 \nL 153.290758 162.898197 \nL 156.172016 162.827913 \nL 159.610742 162.343321 \nL 163.693735 161.342051 \nL 166.003391 160.608269 \nL 168.504407 159.694464 \nL 171.204142 158.58005 \nL 174.10722 157.243028 \nL 177.214375 155.660487 \nL 180.521008 153.809426 \nL 184.015465 151.667988 \nL 187.677052 149.217209 \nL 191.47381 146.443375 \nL 195.360206 143.341046 \nL 199.274951 139.916739 \nL 203.139281 136.193081 \nL 206.85613 132.213165 \nL 210.31083 128.044407 \nL 213.373913 123.781099 \nL 215.906585 119.54452 \nL 217.769184 115.479418 \nL 218.832415 111.745993 \nL 218.990431 108.507154 \nL 218.174088 105.912053 \nL 216.36203 104.078144 \nL 213.587133 103.075238 \nL 209.936421 102.915192 \nL 205.543862 103.550036 \nL 200.577078 104.87938 \nL 195.220487 106.765421 \nL 189.658067 109.052121 \nL 184.058674 111.584249 \nL 173.292286 116.855244 \nL 159.461912 124.032483 \nL 149.046334 129.698229 \nL 143.844981 132.766939 \nL 139.783761 135.459363 \nL 136.626814 137.916884 \nL 134.156076 140.23869 \nL 132.182289 142.484412 \nL 130.546761 144.683793 \nL 128.447966 147.914402 \nL 125.792677 152.069119 \nL 124.349251 154.057259 \nL 122.739583 155.96799 \nL 120.901648 157.784854 \nL 118.773952 159.486906 \nL 116.293981 161.045706 \nL 113.398 162.421062 \nL 110.022866 163.555378 \nL 108.137139 164.007653 \nL 106.110805 164.366482 \nL 103.938989 164.616374 \nL 101.61864 164.739233 \nL 99.149193 164.714128 \nL 96.533393 164.517145 \nL 93.778257 164.121364 \nL 90.896196 163.497056 \nL 87.906247 162.612162 \nL 84.835379 161.433172 \nL 81.719747 159.926552 \nL 78.605787 158.060769 \nL 75.550895 155.809058 \nL 72.623468 153.15288 \nL 69.901967 150.085995 \nL 67.472754 146.618832 \nL 65.42645 142.782656 \nL 63.852806 138.632829 \nL 62.834276 134.250299 \nL 62.438847 129.740522 \nL 62.713054 125.229193 \nL 63.676195 120.854771 \nL 65.316876 116.758282 \nL 67.592638 113.071868 \nL 70.432918 109.907644 \nL 73.744962 107.34875 \nL 77.421705 105.443986 \nL 81.350357 104.206651 \nL 85.42045 103.617319 \nL 89.530378 103.629695 \nL 93.5919 104.17814 \nL 97.532568 105.18561 \nL 101.296306 106.57087 \nL 104.842636 108.254307 \nL 108.144996 110.162133 \nL 111.188627 112.228928 \nL 113.968337 114.398866 \nL 116.486368 116.625822 \nL 118.7505 118.87286 \nL 120.772438 121.111256 \nL 122.566483 123.319354 \nL 124.148474 125.481385 \nL 125.534968 127.586363 \nL 127.787691 131.599329 \nL 129.451542 135.332018 \nL 130.639253 138.785997 \nL 131.445505 141.977447 \nL 131.946234 144.929192 \nL 132.199677 147.666129 \nL 132.248207 150.212706 \nL 132.120377 152.591679 \nL 131.83282 154.823558 \nL 131.391808 156.926462 \nL 130.794392 158.916173 \nL 130.029097 160.80616 \nL 129.076172 162.607568 \nL 127.907435 164.328962 \nL 126.485774 165.975742 \nL 124.764361 167.549024 \nL 122.685732 169.043727 \nL 120.180987 170.445494 \nL 117.169548 171.725923 \nL 113.560303 172.835394 \nL 111.501023 173.302233 \nL 109.255531 173.692672 \nL 106.812061 173.989259 \nL 104.160021 174.170543 \nL 101.290833 174.210431 \nL 98.199052 174.07753 \nL 94.88379 173.734575 \nL 91.350511 173.138015 \nL 87.613208 172.237935 \nL 83.696961 170.978508 \nL 79.640773 169.299297 \nL 75.500497 167.137711 \nL 71.351548 164.43298 \nL 67.290807 161.131995 \nL 63.437051 157.197066 \nL 59.929018 152.615426 \nL 56.92024 147.409577 \nL 54.570036 141.646976 \nL 53.030684 135.446778 \nL 52.431745 128.980966 \nL 52.863688 122.46762 \nL 54.363859 116.155341 \nL 56.908088 110.300006 \nL 60.410326 105.137619 \nL 64.731022 100.858374 \nL 69.692637 97.587527 \nL 75.099009 95.376635 \nL 80.754653 94.206081 \nL 86.480695 93.996973 \nL 92.125516 94.628572 \nL 97.56983 95.95718 \nL 102.727036 97.833025 \nL 107.540326 100.11329 \nL 111.978046 102.670562 \nL 116.028467 105.397127 \nL 119.694837 108.206088 \nL 122.991048 111.030211 \nL 125.938145 113.819628 \nL 128.561591 116.538937 \nL 130.889241 119.164332 \nL 134.772076 124.080621 \nL 137.811192 128.519138 \nL 140.211731 132.487384 \nL 142.997211 137.631051 \nL 146.588786 144.365146 \nL 147.95622 146.50441 \nL 149.403182 148.354279 \nL 150.996265 149.919953 \nL 152.79743 151.196295 \nL 154.866598 152.166984 \nL 157.263231 152.803413 \nL 158.602898 152.983658 \nL 160.046577 153.063366 \nL 161.601379 153.034918 \nL 163.274068 152.889703 \nL 165.070847 152.618131 \nL 166.997076 152.209674 \nL 169.056918 151.652956 \nL 171.252878 150.935933 \nL 173.585244 150.046159 \nL 176.051417 148.971193 \nL 178.645121 147.699148 \nL 181.355497 146.219472 \nL 184.166117 144.523925 \nL 187.053943 142.607825 \nL 189.988308 140.471533 \nL 192.930023 138.122167 \nL 195.830746 135.575432 \nL 198.632803 132.857443 \nL 201.269679 130.006298 \nL 203.667374 127.073085 \nL 205.746815 124.121945 \nL 207.427467 121.228852 \nL 208.632035 118.47873 \nL 209.292039 115.960852 \nL 209.35378 113.762636 \nL 208.783939 111.962422 \nL 207.573996 110.622152 \nL 205.742682 109.78105 \nL 203.335831 109.451568 \nL 200.423518 109.618295 \nL 197.094772 110.24028 \nL 193.450641 111.256202 \nL 189.596639 112.591591 \nL 185.635593 114.166638 \nL 181.661784 115.903487 \nL 173.987352 119.593355 \nL 167.044672 123.245305 \nL 161.074899 126.642915 \nL 156.140836 129.724947 \nL 152.191981 132.518661 \nL 149.119087 135.084947 \nL 146.791695 137.485269 \nL 145.080695 139.767 \nL 143.870176 141.960157 \nL 143.062527 144.079686 \nL 142.579591 146.129517 \nL 142.361728 148.106469 \nL 142.365963 150.003287 \nL 142.563891 151.810601 \nL 142.939729 153.517978 \nL 143.488728 155.114248 \nL 144.216007 156.587292 \nL 145.135845 157.923353 \nL 146.271389 159.106031 \nL 147.654716 160.114895 \nL 149.327159 160.923691 \nL 151.339734 161.498073 \nL 153.753402 161.792755 \nL 156.638746 161.748031 \nL 160.074317 161.285767 \nL 164.142458 160.305228 \nL 166.438531 159.58211 \nL 168.920726 158.679897 \nL 171.595421 157.578756 \nL 174.466174 156.257637 \nL 177.532581 154.694808 \nL 180.788885 152.8687 \nL 184.222308 150.759142 \nL 187.81117 148.349097 \nL 191.522793 145.626962 \nL 195.311377 142.589476 \nL 199.116027 139.245206 \nL 202.859283 135.618432 \nL 206.446573 131.753115 \nL 209.767095 127.716317 \nL 212.696754 123.600291 \nL 215.103593 119.522178 \nL 216.855919 115.620326 \nL 217.832917 112.046441 \nL 217.936824 108.953491 \nL 217.105076 106.48041 \nL 215.320293 104.735677 \nL 212.615889 103.782906 \nL 209.075689 103.631753 \nL 204.827066 104.236528 \nL 200.028599 105.503146 \nL 194.854551 107.302934 \nL 189.478983 109.490127 \nL 184.062203 111.919303 \nL 173.624478 117.004173 \nL 160.160154 124.00373 \nL 149.973009 129.606782 \nL 144.872602 132.672339 \nL 140.888613 135.376447 \nL 137.796926 137.851799 \nL 135.38848 140.192809 \nL 133.480889 142.457065 \nL 131.920841 144.673917 \nL 129.96217 147.930272 \nL 126.938147 153.142509 \nL 125.600124 155.126962 \nL 124.096247 157.038287 \nL 122.368262 158.863811 \nL 120.356848 160.587171 \nL 117.999902 162.185513 \nL 115.2319 163.62547 \nL 111.984913 164.857721 \nL 110.160716 165.374448 \nL 108.192162 165.80979 \nL 106.072315 166.149593 \nL 103.795569 166.377056 \nL 101.358245 166.472415 \nL 98.759351 166.412653 \nL 96.001522 166.171307 \nL 93.09213 165.718413 \nL 90.044572 165.020703 \nL 86.879723 164.042124 \nL 83.627455 162.74486 \nL 80.328133 161.090969 \nL 77.033883 159.044785 \nL 73.809391 156.576186 \nL 70.731907 153.664731 \nL 67.890058 150.30452 \nL 65.381154 146.509373 \nL 63.30668 142.317718 \nL 61.766019 137.796224 \nL 60.848678 133.041164 \nL 60.625813 128.176434 \nL 61.142195 123.347707 \nL 62.409995 118.712657 \nL 64.405652 114.428347 \nL 67.070653 110.637503 \nL 70.316262 107.455909 \nL 74.031492 104.963116 \nL 78.092905 103.197913 \nL 82.374635 102.158844 \nL 86.757194 101.809244 \nL 91.13411 102.085282 \nL 95.415974 102.90529 \nL 99.532104 104.178912 \nL 103.430251 105.814841 \nL 107.07499 107.726697 \nL 110.44536 109.836853 \nL 113.532244 112.078438 \nL 116.335794 114.395908 \nL 118.863115 116.744661 \nL 121.126275 119.089976 \nL 123.140674 121.4057 \nL 124.923753 123.672822 \nL 126.493975 125.87813 \nL 129.070518 130.072303 \nL 131.01449 133.956616 \nL 132.455549 137.532352 \nL 133.504157 140.817666 \nL 134.250756 143.838088 \nL 134.95667 147.932115 \nL 135.315846 151.579978 \nL 135.439672 154.857662 \nL 135.345532 158.758055 \nL 135.009152 162.225742 \nL 134.595101 164.597084 \nL 134.015621 166.807231 \nL 133.226208 168.884642 \nL 132.160396 170.855817 \nL 131.251162 172.123119 \nL 130.141493 173.360551 \nL 128.786291 174.573126 \nL 127.13005 175.76332 \nL 125.104863 176.929129 \nL 122.628334 178.060858 \nL 119.601799 179.135947 \nL 115.909567 180.110805 \nL 111.420704 180.90823 \nL 108.834019 181.202636 \nL 105.996128 181.398696 \nL 102.891182 181.467724 \nL 99.505883 181.374056 \nL 95.831168 181.073892 \nL 91.864458 180.514203 \nL 87.612536 179.631892 \nL 83.095144 178.353504 \nL 78.34928 176.595904 \nL 73.434043 174.268499 \nL 68.435608 171.277713 \nL 63.471632 167.534481 \nL 58.693948 162.965312 \nL 54.287962 157.527061 \nL 50.466936 151.224495 \nL 47.459615 144.128312 \nL 45.490457 136.389557 \nL 44.753826 128.245101 \nL 45.385703 120.009068 \nL 47.439042 112.047426 \nL 50.86933 104.737669 \nL 55.535471 98.421004 \nL 61.216835 93.35801 \nL 67.642614 89.698778 \nL 74.526056 87.473898 \nL 81.595784 86.606179 \nL 88.618454 86.937264 \nL 95.410698 88.260568 \nL 101.841402 90.352719 \nL 107.82716 92.998358 \nL 113.324095 96.00627 \nL 118.318658 99.2175 \nL 122.819034 102.50713 \nL 126.847994 105.781963 \nL 130.437354 108.976089 \nL 133.623938 112.045635 \nL 136.446738 114.9637 \nL 141.157032 120.296659 \nL 144.866222 124.949471 \nL 149.120806 130.748262 \nL 153.431744 136.596811 \nL 155.358405 138.831272 \nL 157.290262 140.652044 \nL 159.31811 142.07641 \nL 161.515625 143.108242 \nL 162.696982 143.474698 \nL 163.941789 143.738843 \nL 165.255227 143.897833 \nL 166.641522 143.948244 \nL 168.103839 143.886151 \nL 169.644144 143.70725 \nL 172.959403 142.980888 \nL 176.570847 141.734086 \nL 180.426698 139.940611 \nL 184.42915 137.59604 \nL 186.439642 136.225819 \nL 188.424264 134.734835 \nL 190.354098 133.136645 \nL 192.196564 131.449522 \nL 193.915945 129.696802 \nL 195.474217 127.906921 \nL 196.832237 126.113124 \nL 197.951271 124.352726 \nL 198.79481 122.665913 \nL 199.3306 121.094064 \nL 199.532715 119.67767 \nL 199.383506 118.454016 \nL 198.875189 117.454812 \nL 198.010895 116.70407 \nL 196.805013 116.216488 \nL 195.282727 115.996531 \nL 193.478807 116.038406 \nL 191.435688 116.326895 \nL 189.201148 116.838915 \nL 186.82572 117.545665 \nL 181.853309 119.413616 \nL 176.89013 121.672836 \nL 172.22973 124.103357 \nL 168.069258 126.550109 \nL 164.51587 128.922683 \nL 161.606334 131.179719 \nL 159.329881 133.309441 \nL 157.648502 135.313355 \nL 156.512476 137.195372 \nL 155.870995 138.955903 \nL 155.678798 140.58938 \nL 155.899793 142.083711 \nL 156.508634 143.420506 \nL 157.490882 144.575466 \nL 158.842217 145.518511 \nL 160.56686 146.213627 \nL 162.675207 146.61854 \nL 165.180463 146.684457 \nL 168.093862 146.356346 \nL 171.418002 145.574488 \nL 175.137656 144.278268 \nL 179.207772 142.413609 \nL 183.538849 139.945461 \nL 185.75825 138.483781 \nL 187.981332 136.876389 \nL 190.177909 135.133412 \nL 192.31291 133.270433 \nL 194.346652 131.309157 \nL 196.235482 129.277867 \nL 197.932876 127.211486 \nL 199.390997 125.151143 \nL 200.562759 123.143159 \nL 201.404274 121.237311 \nL 201.877561 119.484449 \nL 201.953308 117.933599 \nL 201.613365 116.628722 \nL 200.852676 115.605569 \nL 199.680393 114.888958 \nL 198.119906 114.490904 \nL 196.207802 114.409875 \nL 193.991745 114.631314 \nL 191.527599 115.129384 \nL 188.876053 115.869595 \nL 186.099192 116.812011 \nL 180.406383 119.135793 \nL 174.868126 121.787265 \nL 169.789062 124.524866 \nL 165.35131 127.198416 \nL 161.633483 129.736264 \nL 158.640345 132.118866 \nL 156.331713 134.353202 \nL 154.645435 136.454392 \nL 153.513434 138.435155 \nL 152.871813 140.301198 \nL 152.666572 142.050159 \nL 152.85634 143.672144 \nL 153.41322 145.150718 \nL 154.32252 146.46365 \nL 155.581799 147.583171 \nL 157.199464 148.475635 \nL 159.192897 149.100783 \nL 161.58591 149.410712 \nL 164.405146 149.348932 \nL 167.67476 148.850059 \nL 171.408622 147.841075 \nL 175.599091 146.245478 \nL 177.853582 145.204925 \nL 180.201623 143.992318 \nL 182.62868 142.602303 \nL 185.115328 141.032395 \nL 187.636588 139.283981 \nL 190.161365 137.363444 \nL 192.652087 135.28336 \nL 195.064647 133.063643 \nL 197.348764 130.732535 \nL 199.448912 128.327212 \nL 201.305905 125.893857 \nL 202.859208 123.486929 \nL 204.049939 121.167496 \nL 204.824436 119.000505 \nL 205.138153 117.05108 \nL 204.959468 115.380105 \nL 204.272945 114.039481 \nL 203.08159 113.0678 \nL 201.40766 112.486905 \nL 199.291826 112.300107 \nL 196.79072 112.492236 \nL 193.973117 113.031669 \nL 190.91528 113.873923 \nL 187.696044 114.966244 \nL 184.392233 116.252502 \nL 177.806315 119.191341 \nL 171.614037 122.319774 \nL 166.106209 125.392702 \nL 161.421986 128.288522 \nL 157.587754 130.974125 \nL 154.559225 133.464528 \nL 152.25585 135.791918 \nL 150.584865 137.987353 \nL 149.45624 140.072656 \nL 148.790962 142.058535 \nL 148.524917 143.945773 \nL 148.610108 145.727308 \nL 149.014398 147.390164 \nL 149.720562 148.91674 \nL 150.725083 150.285268 \nL 152.03693 151.469562 \nL 153.676371 152.438103 \nL 155.673704 153.15254 \nL 158.067642 153.565807 \nL 160.902907 153.619994 \nL 164.226318 153.244388 \nL 168.080355 152.354412 \nL 170.216013 151.686528 \nL 172.492845 150.852809 \nL 174.90945 149.840027 \nL 177.461168 148.635262 \nL 180.139195 147.226566 \nL 182.929587 145.603855 \nL 185.812213 143.760046 \nL 188.759648 141.69246 \nL 191.736188 139.404486 \nL 194.697016 136.907421 \nL 197.587758 134.222389 \nL 200.344611 131.38213 \nL 202.895268 128.432368 \nL 205.16087 125.432415 \nL 207.059121 122.454594 \nL 208.508637 119.582095 \nL 209.434331 116.905051 \nL 209.773474 114.514828 \nL 209.481759 112.496927 \nL 208.538561 110.923305 \nL 206.950465 109.845173 \nL 204.752387 109.287615 \nL 202.005821 109.24701 \nL 198.794399 109.691902 \nL 195.21731 110.56722 \nL 191.381622 111.800987 \nL 187.394574 113.312372 \nL 183.356882 115.019626 \nL 175.471393 118.728481 \nL 168.255982 122.45999 \nL 161.999263 125.954554 \nL 156.794071 129.125318 \nL 152.604745 131.989602 \nL 149.326412 134.608192 \nL 146.826846 137.046897 \nL 144.972063 139.358457 \nL 143.640058 141.577617 \nL 142.726933 143.722886 \nL 142.148544 145.800646 \nL 141.839754 147.809357 \nL 141.752561 149.742912 \nL 141.8539 151.592915 \nL 142.123542 153.349981 \nL 142.552316 155.004271 \nL 143.140768 156.545453 \nL 143.89828 157.96224 \nL 144.842624 159.241586 \nL 145.999921 160.367577 \nL 147.404931 161.319985 \nL 149.101586 162.072415 \nL 151.143602 162.589947 \nL 153.594909 162.826178 \nL 156.529459 162.719553 \nL 160.029645 162.189091 \nL 164.182063 161.129917 \nL 166.52902 160.361832 \nL 169.068616 159.409731 \nL 171.807663 158.252767 \nL 174.750012 156.868779 \nL 177.895351 155.234848 \nL 181.237706 153.328199 \nL 184.763671 151.127532 \nL 188.450364 148.614889 \nL 192.263197 145.778133 \nL 196.153576 142.614105 \nL 200.056807 139.132405 \nL 203.890525 135.35961 \nL 207.554162 131.343533 \nL 210.930031 127.156881 \nL 213.886634 122.899375 \nL 216.284748 118.69716 \nL 217.986437 114.698438 \nL 218.866721 111.064474 \nL 218.826786 107.956059 \nL 217.806903 105.516564 \nL 215.796698 103.854253 \nL 212.840315 103.027304 \nL 209.034869 103.035115 \nL 204.521894 103.818381 \nL 199.473157 105.2682 \nL 194.07358 107.242146 \nL 188.504399 109.583638 \nL 182.92936 112.140408 \nL 172.279003 117.392509 \nL 158.698706 124.462787 \nL 148.526293 130.026179 \nL 143.459106 133.049142 \nL 139.506197 135.712912 \nL 136.433432 138.154288 \nL 134.026023 140.467786 \nL 132.098334 142.709377 \nL 130.495061 144.906338 \nL 127.772651 149.189385 \nL 125.781782 152.281374 \nL 124.336398 154.264903 \nL 122.72045 156.170338 \nL 120.872268 157.981263 \nL 118.730455 159.676673 \nL 116.232382 161.227873 \nL 113.314089 162.594177 \nL 109.912192 163.717132 \nL 108.011373 164.162469 \nL 105.968824 164.513248 \nL 103.779725 164.75372 \nL 101.441126 164.865488 \nL 98.952628 164.827282 \nL 96.317221 164.61481 \nL 93.542273 164.200746 \nL 90.640668 163.554945 \nL 87.632059 162.64494 \nL 84.544188 161.436879 \nL 81.414157 159.896985 \nL 78.289506 157.993666 \nL 75.228874 155.700363 \nL 72.301972 152.999099 \nL 69.588568 149.884621 \nL 67.17618 146.368852 \nL 65.156301 142.485052 \nL 63.61907 138.291022 \nL 62.646696 133.870444 \nL 62.306191 129.33153 \nL 62.642349 124.802456 \nL 63.672046 120.4235 \nL 65.381001 116.336585 \nL 67.723689 112.673619 \nL 70.626632 109.545344 \nL 73.994613 107.032558 \nL 77.718774 105.18107 \nL 81.685309 104.000901 \nL 85.783495 103.469495 \nL 89.912107 103.537824 \nL 93.983779 104.13814 \nL 97.927223 105.191958 \nL 101.68768 106.617249 \nL 105.225975 108.334174 \nL 108.516778 110.269129 \nL 111.546422 112.357175 \nL 114.310643 114.543119 \nL 116.812452 116.78156 \nL 119.060241 119.036275 \nL 121.066191 121.279216 \nL 122.844961 123.489334 \nL 124.412654 125.651382 \nL 125.78601 127.754826 \nL 128.016375 131.761471 \nL 129.663393 135.485212 \nL 130.8398 138.928997 \nL 131.640071 142.109829 \nL 132.139879 145.051 \nL 132.397239 147.777636 \nL 132.454411 150.314289 \nL 132.339979 152.683734 \nL 132.070769 154.906477 \nL 131.653435 157.000652 \nL 131.085604 158.982062 \nL 130.356588 160.86429 \nL 129.447651 162.658703 \nL 128.331866 164.37428 \nL 126.973621 166.017109 \nL 125.327821 167.589418 \nL 123.338918 169.087867 \nL 120.939976 170.500763 \nL 118.052167 171.803726 \nL 114.585399 172.953093 \nL 110.441327 173.87624 \nL 108.084025 174.21911 \nL 105.520896 174.457987 \nL 102.741969 174.568893 \nL 99.739826 174.52278 \nL 96.510887 174.284884 \nL 93.057047 173.814191 \nL 89.387708 173.063145 \nL 85.522196 171.9778 \nL 81.492557 170.498659 \nL 77.346545 168.562527 \nL 73.150581 166.105764 \nL 68.992216 163.069291 \nL 64.98143 159.405565 \nL 61.249999 155.087546 \nL 57.947909 150.119055 \nL 55.236097 144.545358 \nL 53.275102 138.461898 \nL 52.210157 132.018615 \nL 52.154356 125.417121 \nL 53.172629 118.898989 \nL 55.270013 112.725232 \nL 58.387217 107.1496 \nL 62.405188 102.390541 \nL 67.158044 98.607708 \nL 72.451726 95.887781 \nL 78.084367 94.241935 \nL 83.864553 93.614221 \nL 89.624796 93.897548 \nL 95.229157 94.952956 \nL 100.575532 96.628261 \nL 105.593877 98.773316 \nL 110.241997 101.250695 \nL 114.500306 103.941841 \nL 118.366524 106.749412 \nL 121.850936 109.596922 \nL 124.972454 112.426762 \nL 127.75551 115.197368 \nL 130.227699 117.880207 \nL 132.418075 120.456944 \nL 136.06988 125.255119 \nL 138.934618 129.56469 \nL 141.212816 133.404268 \nL 144.670676 139.824832 \nL 146.811755 143.688954 \nL 148.211763 145.867424 \nL 149.682655 147.748237 \nL 151.293352 149.337843 \nL 153.107291 150.632151 \nL 155.185119 151.615754 \nL 156.341607 151.982886 \nL 157.586319 152.260907 \nL 158.926552 152.444218 \nL 160.369466 152.526305 \nL 161.921976 152.499702 \nL 163.590598 152.355978 \nL 165.381244 152.085764 \nL 167.298929 151.678796 \nL 169.347424 151.124022 \nL 171.528795 150.409793 \nL 173.842855 149.524136 \nL 176.286501 148.455166 \nL 178.852947 147.191658 \nL 181.530842 145.723806 \nL 184.303326 144.044204 \nL 187.147033 142.149066 \nL 190.03114 140.039669 \nL 192.916542 137.724006 \nL 195.75532 135.218527 \nL 198.490635 132.549848 \nL 201.057295 129.756181 \nL 203.38317 126.888194 \nL 205.391616 124.008958 \nL 207.005008 121.192615 \nL 208.149333 118.52148 \nL 208.759521 116.081558 \nL 208.785112 113.956539 \nL 208.195509 112.22095 \nL 206.984075 110.933248 \nL 205.170288 110.129976 \nL 202.799485 109.822052 \nL 199.940016 109.993923 \nL 196.678164 110.605827 \nL 193.11153 111.598803 \nL 189.341873 112.90146 \nL 185.468348 114.43741 \nL 177.76161 117.918195 \nL 170.562906 121.550891 \nL 164.21611 125.030999 \nL 158.86483 128.228654 \nL 154.511592 131.13119 \nL 151.07657 133.783174 \nL 148.442144 136.244159 \nL 146.481752 138.566219 \nL 145.076378 140.785789 \nL 144.122677 142.923493 \nL 143.535988 144.987292 \nL 143.250463 146.976349 \nL 143.217746 148.884335 \nL 143.405117 150.701751 \nL 143.793591 152.417312 \nL 144.376274 154.018463 \nL 145.157103 155.491291 \nL 146.150012 156.819886 \nL 147.378499 157.985288 \nL 148.875534 158.964002 \nL 150.683668 159.726081 \nL 152.85516 160.232699 \nL 155.451762 160.43318 \nL 158.543646 160.261481 \nL 162.206539 159.632403 \nL 166.515696 158.438194 \nL 168.933375 157.588888 \nL 171.534565 156.54711 \nL 174.32216 155.293222 \nL 177.295275 153.807048 \nL 180.447947 152.068676 \nL 183.767626 150.05961 \nL 187.233426 147.764375 \nL 190.81425 145.172615 \nL 194.466865 142.281745 \nL 198.134138 139.100085 \nL 201.743733 135.650362 \nL 205.207621 131.973244 \nL 208.422905 128.130415 \nL 211.274422 124.206443 \nL 213.639571 120.308613 \nL 215.395528 116.563756 \nL 216.428687 113.111478 \nL 216.645555 110.093651 \nL 215.983746 107.640926 \nL 214.421273 105.85809 \nL 211.982179 104.810827 \nL 208.737012 104.516829 \nL 204.797553 104.943349 \nL 200.306482 106.012213 \nL 195.423806 107.611085 \nL 190.312472 109.608609 \nL 185.125563 111.870201 \nL 175.034661 116.708054 \nL 165.912269 121.390655 \nL 154.758838 127.424383 \nL 149.039298 130.752515 \nL 144.52603 133.655138 \nL 141.015497 136.26672 \nL 138.301048 138.696458 \nL 136.194089 141.018647 \nL 134.532092 143.276605 \nL 133.179515 145.490966 \nL 131.49335 148.741891 \nL 128.91786 153.938875 \nL 127.167897 156.88824 \nL 125.804213 158.770073 \nL 124.221682 160.57538 \nL 122.364678 162.293497 \nL 120.17271 163.908448 \nL 117.579366 165.395348 \nL 114.512435 166.715364 \nL 110.896007 167.808801 \nL 108.858226 168.243971 \nL 106.655865 168.58587 \nL 104.281666 168.816683 \nL 101.730244 168.915184 \nL 98.998922 168.856354 \nL 96.088786 168.611065 \nL 93.005953 168.145918 \nL 89.763094 167.423313 \nL 86.381148 166.401928 \nL 82.891202 165.037727 \nL 79.336372 163.285724 \nL 75.773504 161.102681 \nL 72.274355 158.450904 \nL 68.925866 155.303193 \nL 65.829024 151.648793 \nL 63.095819 147.499891 \nL 60.843956 142.897891 \nL 59.189193 137.918226 \nL 58.23577 132.672306 \nL 58.065834 127.305251 \nL 58.729458 121.988459 \nL 60.237055 116.907227 \nL 62.55588 112.244654 \nL 65.611646 108.164367 \nL 69.295184 104.79514 \nL 73.472993 102.220127 \nL 77.999753 100.472504 \nL 82.730587 99.537664 \nL 87.531329 99.360865 \nL 92.285682 99.85807 \nL 96.899083 100.927864 \nL 101.299618 102.462403 \nL 105.436785 104.356247 \nL 109.278903 106.512544 \nL 112.809917 108.846695 \nL 116.026115 111.287842 \nL 118.933097 113.778815 \nL 121.543156 116.275063 \nL 123.873134 118.743068 \nL 125.942712 121.158552 \nL 127.773102 123.504714 \nL 130.803215 127.949877 \nL 133.132735 132.038644 \nL 134.915717 135.772013 \nL 136.285141 139.171152 \nL 137.800709 143.707787 \nL 139.554971 150.015438 \nL 140.761984 154.146224 \nL 141.759225 156.792201 \nL 142.528941 158.355649 \nL 143.420199 159.760675 \nL 144.467793 161.003567 \nL 145.710695 162.075088 \nL 147.193715 162.959425 \nL 148.969066 163.632635 \nL 151.097758 164.060432 \nL 153.650601 164.195234 \nL 156.708354 163.972361 \nL 160.360226 163.305497 \nL 164.699305 162.081883 \nL 167.154425 161.217846 \nL 169.812671 160.158585 \nL 172.680949 158.881561 \nL 175.762784 157.362853 \nL 179.056944 155.577837 \nL 182.55575 153.502252 \nL 186.243067 151.113767 \nL 190.092022 148.394168 \nL 194.062505 145.33226 \nL 198.098679 141.927527 \nL 202.12675 138.194448 \nL 206.053489 134.167237 \nL 209.766038 129.904485 \nL 213.133713 125.49285 \nL 216.012511 121.048654 \nL 218.252794 116.716088 \nL 219.71025 112.660752 \nL 220.259513 109.057914 \nL 219.808889 106.075878 \nL 218.313888 103.856465 \nL 215.786657 102.495964 \nL 212.298895 102.030793 \nL 207.976853 102.43166 \nL 202.988917 103.608049 \nL 197.528037 105.422282 \nL 191.792522 107.709707 \nL 185.968691 110.300396 \nL 174.669785 115.79195 \nL 160.033283 123.338939 \nL 148.963625 129.2471 \nL 143.427697 132.396285 \nL 139.10133 135.122506 \nL 135.733563 137.584426 \nL 133.091445 139.894531 \nL 130.972509 142.121077 \nL 129.206871 144.298511 \nL 126.199805 148.539496 \nL 123.995743 151.595028 \nL 122.396147 153.54694 \nL 120.611011 155.409882 \nL 118.575711 157.16166 \nL 116.227622 158.773832 \nL 113.505263 160.208211 \nL 110.349306 161.412068 \nL 108.591597 161.90564 \nL 106.706201 162.312114 \nL 104.688538 162.617964 \nL 102.535587 162.807485 \nL 100.246435 162.862606 \nL 97.822936 162.76275 \nL 95.270502 162.484811 \nL 92.599009 162.003287 \nL 89.82381 161.29061 \nL 86.966814 160.317829 \nL 84.057546 159.055647 \nL 81.134112 157.475979 \nL 78.243883 155.55403 \nL 75.443723 153.270998 \nL 72.799542 150.617254 \nL 70.384889 147.595893 \nL 68.278468 144.226288 \nL 66.56039 140.547186 \nL 65.307308 136.618665 \nL 64.586691 132.522355 \nL 64.450838 128.359313 \nL 64.931392 124.245253 \nL 66.035245 120.303342 \nL 67.742597 116.655256 \nL 70.007618 113.411627 \nL 72.761772 110.663344 \nL 75.919283 108.475031 \nL 79.383936 106.881562 \nL 83.05618 105.887998 \nL 86.839586 105.472512 \nL 90.646004 105.591573 \nL 94.399054 106.186266 \nL 98.035959 107.188795 \nL 101.507921 108.528273 \nL 104.779448 110.13544 \nL 107.826953 111.946026 \nL 110.637005 113.902817 \nL 113.204479 115.956659 \nL 115.530769 118.066617 \nL 117.62218 120.199547 \nL 119.488547 122.329353 \nL 121.14208 124.436059 \nL 122.596432 126.504843 \nL 123.865967 128.525117 \nL 125.90832 132.394118 \nL 127.379975 136.014358 \nL 128.379304 139.383244 \nL 128.988227 142.512484 \nL 129.271144 145.420718 \nL 129.275492 148.129109 \nL 129.033049 150.658737 \nL 128.561439 153.029144 \nL 127.865525 155.257456 \nL 126.938493 157.35778 \nL 125.762578 159.34061 \nL 124.309445 161.21201 \nL 122.540305 162.972321 \nL 120.405962 164.614127 \nL 117.847098 166.119127 \nL 114.795331 167.453468 \nL 111.175939 168.561006 \nL 109.129635 169.003869 \nL 106.913673 169.35408 \nL 104.520374 169.593808 \nL 101.943838 169.701659 \nL 99.180806 169.65226 \nL 96.231743 169.415896 \nL 93.102161 168.958302 \nL 89.8042 168.240692 \nL 86.358438 167.220177 \nL 82.795891 165.850755 \nL 79.160027 164.085062 \nL 75.508651 161.877132 \nL 71.915247 159.18632 \nL 68.469411 155.982485 \nL 65.275805 152.252291 \nL 62.451111 148.006165 \nL 60.118546 143.285122 \nL 58.399841 138.16608 \nL 57.405053 132.764231 \nL 57.221266 127.230814 \nL 57.901827 121.745407 \nL 59.458139 116.502707 \nL 61.855851 111.695296 \nL 65.016585 107.495089 \nL 68.825136 104.036759 \nL 73.140872 101.40629 \nL 77.811173 99.636481 \nL 82.684541 98.70957 \nL 87.621431 98.565646 \nL 92.501701 99.114478 \nL 97.228462 100.248304 \nL 101.728807 101.853471 \nL 105.95228 103.819677 \nL 109.86798 106.046361 \nL 113.461081 108.446292 \nL 116.729341 110.946969 \nL 119.679901 113.490366 \nL 122.326569 116.031682 \nL 124.687608 118.537539 \nL 126.784002 120.984058 \nL 128.638131 123.35498 \nL 131.710522 127.833232 \nL 134.080968 131.93699 \nL 135.908939 135.671073 \nL 137.33176 139.059418 \nL 138.951152 143.561914 \nL 142.104598 152.841809 \nL 142.924844 154.651824 \nL 143.842283 156.279092 \nL 144.895861 157.72466 \nL 146.126409 158.98353 \nL 147.578619 160.043865 \nL 149.302804 160.885735 \nL 151.35637 161.479304 \nL 153.804849 161.782364 \nL 156.722088 161.737155 \nL 160.188925 161.266571 \nL 164.28917 160.2702 \nL 166.601846 159.536305 \nL 169.101015 158.621339 \nL 171.792971 157.505413 \nL 174.681095 156.167432 \nL 177.764703 154.585659 \nL 181.037626 152.738583 \nL 184.486535 150.606188 \nL 188.089024 148.171744 \nL 191.811509 145.424142 \nL 195.607109 142.360859 \nL 199.413692 138.991498 \nL 203.152441 135.341699 \nL 206.727388 131.457087 \nL 210.026453 127.406659 \nL 212.924543 123.284724 \nL 215.289182 119.210395 \nL 216.988871 115.323597 \nL 217.903888 111.77688 \nL 217.938538 108.723023 \nL 217.033257 106.29949 \nL 215.174364 104.611998 \nL 212.399274 103.720405 \nL 208.795626 103.630076 \nL 204.493918 104.291135 \nL 199.654804 105.606051 \nL 194.453389 107.443904 \nL 189.063415 109.658032 \nL 183.643916 112.103418 \nL 173.228014 117.194452 \nL 159.833319 124.167242 \nL 149.722873 129.736951 \nL 144.666797 132.785814 \nL 140.719163 135.478515 \nL 137.655686 137.946681 \nL 135.267925 140.28335 \nL 133.374402 142.544885 \nL 131.822741 144.759767 \nL 129.867755 148.013358 \nL 126.83068 153.219388 \nL 125.481524 155.200391 \nL 123.9632 157.107487 \nL 122.217331 158.927728 \nL 120.184402 160.644337 \nL 117.802098 162.233807 \nL 115.004757 163.661821 \nL 111.724524 164.877696 \nL 109.882373 165.38401 \nL 107.89513 165.807086 \nL 105.756043 166.132443 \nL 103.459766 166.342917 \nL 101.002979 166.418345 \nL 98.385165 166.335298 \nL 95.60957 166.066892 \nL 92.684337 165.582774 \nL 89.623814 164.84935 \nL 86.450009 163.830378 \nL 83.194117 162.488051 \nL 79.897976 160.784731 \nL 76.61529 158.685462 \nL 73.412326 156.161353 \nL 70.36777 153.193796 \nL 67.571369 149.779378 \nL 65.12098 145.935049 \nL 63.117859 141.702849 \nL 61.660168 137.153291 \nL 60.835091 132.386285 \nL 60.710379 127.528694 \nL 61.326542 122.727927 \nL 62.691 118.141773 \nL 64.775462 113.925596 \nL 67.517245 110.218654 \nL 70.824477 107.131946 \nL 74.584345 104.739513 \nL 78.672973 103.074583 \nL 82.965299 102.130773 \nL 87.343613 101.86755 \nL 91.703819 102.218501 \nL 95.959156 103.100681 \nL 100.041557 104.423552 \nL 103.901172 106.096498 \nL 107.504633 108.034399 \nL 110.83266 110.161176 \nL 113.87744 112.411597 \nL 116.640092 114.73172 \nL 119.128396 117.078365 \nL 121.354863 119.41805 \nL 123.335146 121.725654 \nL 125.086789 123.98299 \nL 126.628263 126.177493 \nL 129.155005 130.348852 \nL 131.058397 134.210738 \nL 132.466543 137.76574 \nL 133.488259 141.032572 \nL 134.212413 144.036897 \nL 134.889927 148.111097 \nL 135.223401 151.743796 \nL 135.320752 155.010407 \nL 135.184766 158.90167 \nL 134.792219 162.366301 \nL 134.321352 164.739431 \nL 133.66709 166.955109 \nL 132.778431 169.042021 \nL 132.019821 170.374906 \nL 131.094743 171.66957 \nL 129.966479 172.932362 \nL 128.589622 174.168118 \nL 126.908322 175.378974 \nL 124.854329 176.562351 \nL 122.34498 177.707652 \nL 119.281523 178.790954 \nL 115.548566 179.766664 \nL 111.016215 180.554743 \nL 108.407409 180.839485 \nL 105.547733 181.021793 \nL 102.42198 181.072331 \nL 99.01771 180.954743 \nL 95.326981 180.624522 \nL 91.348642 180.027989 \nL 87.091257 179.101543 \nL 82.576726 177.771508 \nL 77.844581 175.955013 \nL 72.956738 173.56246 \nL 68.002318 170.502301 \nL 63.101768 166.688831 \nL 58.409085 162.053516 \nL 54.11061 156.559808 \nL 50.418634 150.220493 \nL 47.558355 143.114937 \nL 45.747753 135.402263 \nL 45.171903 127.325126 \nL 45.95557 119.199367 \nL 48.140067 111.387352 \nL 51.670791 104.257444 \nL 56.399878 98.137368 \nL 62.104334 93.272189 \nL 68.515403 89.797257 \nL 75.351954 87.731612 \nL 82.350262 86.991066 \nL 89.285168 87.415025 \nL 95.980818 88.798609 \nL 102.312237 90.922834 \nL 108.200553 93.578022 \nL 113.604914 96.578894 \nL 118.513544 99.771888 \nL 122.93548 103.036586 \nL 126.893707 106.283299 \nL 130.419846 109.448653 \nL 133.550286 112.490509 \nL 136.32346 115.38305 \nL 140.951614 120.673555 \nL 144.597503 125.296144 \nL 148.783258 131.070241 \nL 153.034278 136.91573 \nL 154.939581 139.158295 \nL 156.854048 140.992239 \nL 158.867943 142.434076 \nL 161.055046 143.48697 \nL 162.232739 143.865073 \nL 163.475112 144.141457 \nL 164.78755 144.313143 \nL 166.174532 144.376537 \nL 167.639529 144.327516 \nL 169.184859 144.161532 \nL 172.518843 143.459269 \nL 176.163719 142.231505 \nL 180.071828 140.447638 \nL 184.14931 138.097675 \nL 186.206808 136.717144 \nL 188.245002 135.209691 \nL 190.234892 133.58812 \nL 192.143538 131.87009 \nL 193.934523 130.078524 \nL 195.568756 128.241752 \nL 197.005616 126.393286 \nL 198.204498 124.57117 \nL 199.126664 122.816817 \nL 199.737368 121.17333 \nL 200.008052 119.683361 \nL 199.918457 118.386683 \nL 199.458413 117.317662 \nL 198.629074 116.502911 \nL 197.443427 115.959437 \nL 195.925956 115.693542 \nL 194.11147 115.700625 \nL 192.043185 115.965922 \nL 189.770279 116.466107 \nL 187.345188 117.171475 \nL 184.820902 118.048489 \nL 179.675318 120.178842 \nL 174.687847 122.599043 \nL 170.117884 125.108706 \nL 166.124029 127.5794 \nL 162.77904 129.944828 \nL 160.093348 132.18083 \nL 158.038453 134.285549 \nL 156.566 136.264783 \nL 155.621508 138.123175 \nL 155.153288 139.860006 \nL 155.117679 141.467848 \nL 155.481661 142.932603 \nL 156.223711 144.233965 \nL 157.333519 145.345776 \nL 158.810874 146.236056 \nL 160.663861 146.8667 \nL 162.906259 147.193006 \nL 165.553858 147.163352 \nL 168.619243 146.71958 \nL 172.104416 145.798813 \nL 175.990677 144.337977 \nL 180.225395 142.282445 \nL 182.443813 141.020307 \nL 184.706099 139.600408 \nL 186.988932 138.025792 \nL 189.263975 136.303878 \nL 191.4977 134.447359 \nL 193.651463 132.475012 \nL 195.681935 130.412351 \nL 197.541977 128.291961 \nL 199.182007 126.153387 \nL 200.551904 124.042407 \nL 201.603397 122.009625 \nL 202.29285 120.108293 \nL 202.584209 118.391464 \nL 202.451882 116.908659 \nL 201.88318 115.702391 \nL 200.879997 114.804906 \nL 199.459474 114.235648 \nL 197.653441 113.999833 \nL 195.506701 114.088324 \nL 193.07429 114.478917 \nL 190.418049 115.13875 \nL 187.602924 116.02758 \nL 184.693386 117.101336 \nL 178.828713 119.628177 \nL 173.230963 122.405277 \nL 168.178914 125.20707 \nL 163.825385 127.904783 \nL 160.223018 130.445655 \nL 157.356798 132.823296 \nL 155.173173 135.052114 \nL 153.601973 137.150433 \nL 152.571075 139.131652 \nL 152.015261 141.000963 \nL 151.88093 142.755133 \nL 152.128136 144.383472 \nL 152.730983 145.868998 \nL 153.677076 147.189182 \nL 154.96646 148.316091 \nL 156.610187 149.215984 \nL 158.628502 149.84836 \nL 161.048411 150.164765 \nL 163.900186 150.107618 \nL 167.212176 149.609639 \nL 171.003033 148.594757 \nL 173.0785 147.86815 \nL 175.270323 146.981936 \nL 177.572301 145.926653 \nL 179.974665 144.694023 \nL 182.463346 143.277685 \nL 185.019214 141.674095 \nL 187.617329 139.88359 \nL 190.226302 137.911601 \nL 192.807841 135.769944 \nL 195.316593 133.478108 \nL 197.700436 131.064379 \nL 199.901363 128.566631 \nL 201.85706 126.032505 \nL 203.503288 123.518808 \nL 204.777052 121.089823 \nL 205.620414 118.814504 \nL 205.984721 116.762543 \nL 205.834798 114.999557 \nL 205.152605 113.58193 \nL 203.939819 112.551915 \nL 202.21885 111.933824 \nL 200.032059 111.731858 \nL 197.439131 111.930113 \nL 194.512974 112.494728 \nL 191.33462 113.377793 \nL 187.987859 114.522439 \nL 184.554208 115.868216 \nL 177.717369 118.932138 \nL 171.303665 122.174844 \nL 165.61376 125.33991 \nL 160.786582 128.304864 \nL 156.842532 131.04143 \nL 153.729067 133.571163 \nL 151.357241 135.932205 \nL 149.626737 138.160173 \nL 148.441135 140.280079 \nL 147.716147 142.304832 \nL 147.383301 144.236854 \nL 147.390926 146.070561 \nL 147.703679 147.79458 \nL 148.301433 149.393262 \nL 149.177968 150.847336 \nL 150.339751 152.133794 \nL 151.804847 153.225106 \nL 153.601933 154.087837 \nL 155.769196 154.680758 \nL 158.352787 154.952575 \nL 161.404264 154.839487 \nL 164.976149 154.263014 \nL 166.972158 153.77218 \nL 169.114402 153.129018 \nL 171.405593 152.319615 \nL 173.846151 151.329588 \nL 176.433434 150.144519 \nL 179.160825 148.750567 \nL 182.016681 147.135322 \nL 184.983187 145.288922 \nL 188.035133 143.20548 \nL 191.138702 140.884819 \nL 194.250417 138.334466 \nL 197.316378 135.571826 \nL 200.272039 132.626325 \nL 203.04278 129.541264 \nL 205.545533 126.374989 \nL 207.691699 123.200897 \nL 209.391465 120.10581 \nL 210.559467 117.186371 \nL 211.121431 114.543281 \nL 211.021164 112.273691 \nL 210.226967 110.462489 \nL 208.736427 109.173712 \nL 206.578631 108.443515 \nL 203.81316 108.276155 \nL 200.525845 108.643879 \nL 196.821812 109.490788 \nL 192.816914 110.740036 \nL 188.628852 112.302895 \nL 184.369252 114.088078 \nL 176.017127 117.993616 \nL 168.355112 121.924589 \nL 161.706832 125.585066 \nL 156.175865 128.878022 \nL 151.722171 131.826401 \nL 148.229279 134.502554 \nL 145.551128 136.983905 \nL 143.5402 139.332408 \nL 142.062237 141.589269 \nL 141.002543 143.777239 \nL 140.267413 145.905502 \nL 139.782979 147.974571 \nL 139.492906 149.98024 \nL 139.334911 152.856083 \nL 139.433292 155.553366 \nL 139.744118 158.053136 \nL 140.258813 160.339559 \nL 140.997781 162.397406 \nL 141.637232 163.633415 \nL 142.417652 164.752329 \nL 143.366049 165.744157 \nL 144.516429 166.595203 \nL 145.9109 167.286612 \nL 147.600962 167.792443 \nL 149.648893 168.077126 \nL 152.129004 168.092067 \nL 155.12833 167.771272 \nL 158.745972 167.025874 \nL 163.089677 165.737864 \nL 168.267262 163.754067 \nL 171.198429 162.442885 \nL 174.369106 160.883138 \nL 177.782653 159.045864 \nL 181.436262 156.901387 \nL 185.318726 154.4208 \nL 189.407784 151.578168 \nL 193.667107 148.353587 \nL 198.043073 144.737255 \nL 202.461623 140.734534 \nL 206.825669 136.371863 \nL 211.013746 131.702997 \nL 214.88078 126.814704 \nL 218.261946 121.830517 \nL 220.98052 116.91077 \nL 222.860167 112.247031 \nL 223.741292 108.049523 \nL 223.499862 104.527406 \nL 222.06581 101.863862 \nL 219.437171 100.190165 \nL 215.686181 99.564648 \nL 210.95492 99.962233 \nL 205.440539 101.278068 \nL 199.372969 103.34481 \nL 192.989837 105.959067 \nL 186.513724 108.910392 \nL 174.005009 115.089273 \nL 142.881146 131.094124 \nL 137.643324 133.960186 \nL 133.563343 136.440665 \nL 130.361022 138.698275 \nL 127.791397 140.835495 \nL 125.648826 142.906594 \nL 121.999458 146.912072 \nL 119.334831 149.763797 \nL 117.41492 151.552735 \nL 115.291974 153.217178 \nL 112.901356 154.719693 \nL 110.186886 156.013413 \nL 107.101989 157.038461 \nL 105.409592 157.426941 \nL 103.613592 157.717778 \nL 101.713172 157.897993 \nL 99.709508 157.953091 \nL 97.606229 157.86708 \nL 95.409961 157.622538 \nL 93.130907 157.200838 \nL 90.783478 156.582519 \nL 88.386932 155.747873 \nL 85.965938 154.677778 \nL 83.55105 153.354835 \nL 81.178937 151.76479 \nL 78.892322 149.898262 \nL 76.739437 147.752699 \nL 74.772963 145.334444 \nL 73.048311 142.660714 \nL 71.621241 139.761221 \nL 70.544891 136.679129 \nL 69.866368 133.471022 \nL 69.623227 130.205607 \nL 69.840182 126.96103 \nL 70.526539 123.820894 \nL 71.67469 120.869258 \nL 73.259993 118.185158 \nL 75.242094 115.837359 \nL 77.567559 113.87995 \nL 80.173483 112.349392 \nL 82.99161 111.263301 \nL 85.952435 110.620986 \nL 88.988895 110.405486 \nL 92.03931 110.586673 \nL 95.049443 111.124892 \nL 97.973645 111.974707 \nL 100.775227 113.088228 \nL 103.426207 114.417953 \nL 105.906617 115.918876 \nL 108.203534 117.549909 \nL 110.310005 119.2747 \nL 112.223954 121.061943 \nL 113.947149 122.88533 \nL 115.484258 124.723243 \nL 116.842043 126.558302 \nL 118.028662 128.376845 \nL 119.053102 130.168375 \nL 120.652864 133.641225 \nL 121.714566 136.937835 \nL 122.303995 140.041944 \nL 122.475095 142.950822 \nL 122.268014 145.668824 \nL 121.708659 148.202905 \nL 120.809113 150.559382 \nL 119.568529 152.741387 \nL 117.97431 154.746543 \nL 116.003608 156.564457 \nL 113.625349 158.173686 \nL 112.272127 158.889409 \nL 110.803202 159.537957 \nL 109.213972 160.111696 \nL 107.500215 160.601423 \nL 105.658405 160.996172 \nL 103.686097 161.283033 \nL 101.582383 161.446984 \nL 99.348463 161.47076 \nL 96.988307 161.334799 \nL 94.50942 161.017307 \nL 91.9237 160.494465 \nL 89.248379 159.740884 \nL 86.506969 158.730364 \nL 83.730172 157.437001 \nL 80.956634 155.836765 \nL 78.233381 153.909562 \nL 75.615804 151.641756 \nL 73.166944 149.029103 \nL 70.955923 146.079866 \nL 69.055371 142.817792 \nL 67.537815 139.284509 \nL 66.471138 135.540792 \nL 65.913478 131.666126 \nL 65.908039 127.756232 \nL 66.478583 123.918308 \nL 67.626232 120.264355 \nL 69.328251 116.903195 \nL 71.539104 113.93226 \nL 74.193693 111.430327 \nL 77.21235 109.452274 \nL 80.50684 108.026456 \nL 83.98651 107.155026 \nL 87.563849 106.816677 \nL 91.158888 106.971236 \nL 94.702177 107.565174 \nL 98.136378 108.537197 \nL 101.416604 109.823289 \nL 104.509856 111.360744 \nL 107.393836 113.091153 \nL 110.055447 114.962224 \nL 112.48917 116.928728 \nL 114.695496 118.952684 \nL 116.679496 121.003058 \nL 118.449567 123.055149 \nL 120.016395 125.089805 \nL 121.39208 127.092599 \nL 122.58946 129.053019 \nL 124.501242 132.819974 \nL 125.851782 136.359375 \nL 126.729975 139.665101 \nL 127.209451 142.745237 \nL 127.347227 145.614972 \nL 127.183925 148.292193 \nL 126.744749 150.794761 \nL 126.040696 153.138793 \nL 125.069711 155.33745 \nL 123.817634 157.399842 \nL 122.258927 159.329797 \nL 120.357266 161.124141 \nL 118.066245 162.77024 \nL 115.330567 164.242364 \nL 112.088412 165.496561 \nL 110.257366 166.02152 \nL 108.276033 166.463586 \nL 106.137515 166.808667 \nL 103.83615 167.039867 \nL 101.368153 167.13715 \nL 98.732405 167.077034 \nL 95.931441 166.832377 \nL 92.972616 166.372296 \nL 89.86947 165.662351 \nL 86.643257 164.665072 \nL 83.324567 163.340986 \nL 79.954926 161.650327 \nL 76.588173 159.555537 \nL 73.291345 157.024713 \nL 70.144714 154.035979 \nL 67.240587 150.58266 \nL 64.68046 146.678815 \nL 62.570244 142.364451 \nL 61.013592 137.709437 \nL 60.103603 132.814914 \nL 59.913811 127.811165 \nL 60.48965 122.851202 \nL 61.841966 118.100254 \nL 63.943868 113.722201 \nL 66.731821 109.864882 \nL 70.110972 106.646842 \nL 73.96386 104.147744 \nL 78.160941 102.40398 \nL 82.571217 101.409745 \nL 87.071378 101.122826 \nL 91.552549 101.473439 \nL 95.924247 102.37426 \nL 100.115801 103.730023 \nL 104.075776 105.445568 \nL 107.770078 107.431748 \nL 111.179363 109.60917 \nL 114.296221 111.910035 \nL 117.122488 114.278542 \nL 119.666844 116.670291 \nL 121.942782 119.051059 \nL 123.966966 121.395356 \nL 125.75793 123.684914 \nL 127.335087 125.907253 \nL 129.925773 130.122049 \nL 131.888382 134.012964 \nL 133.356409 137.584911 \nL 134.443306 140.858592 \nL 135.242063 143.861161 \nL 136.057582 147.918649 \nL 136.69952 152.630703 \nL 137.215885 158.532678 \nL 137.809676 165.455518 \nL 138.295631 168.514919 \nL 138.874074 170.604627 \nL 139.479013 171.965708 \nL 140.292432 173.141889 \nL 140.987829 173.814736 \nL 141.839589 174.388532 \nL 142.884455 174.850345 \nL 144.167746 175.181928 \nL 145.7452 175.357807 \nL 147.685038 175.342603 \nL 150.070102 175.087314 \nL 152.999722 174.524242 \nL 156.590589 173.560244 \nL 160.975259 172.06824 \nL 166.295669 169.877585 \nL 169.350094 168.452848 \nL 172.687281 166.765643 \nL 176.317872 164.779766 \nL 180.246699 162.456517 \nL 184.470158 159.75605 \nL 188.972915 156.639571 \nL 193.72396 153.072706 \nL 198.672071 149.030293 \nL 203.741007 144.502822 \nL 208.824894 139.504494 \nL 213.784737 134.082522 \nL 218.447247 128.326669 \nL 222.607577 122.377178 \nL 226.037638 116.428406 \nL 228.501256 110.724846 \nL 229.776317 105.546479 \nL 229.682248 101.182052 \nL 228.108601 97.892122 \nL 225.038557 95.868123 \nL 220.560598 95.197312 \nL 214.86352 95.844144 \nL 208.214315 97.655038 \nL 200.923721 100.386111 \nL 193.307778 103.745978 \nL 185.654252 107.441433 \nL 171.120543 114.86642 \nL 158.496497 121.327256 \nL 148.145334 126.400413 \nL 136.545565 131.770274 \nL 128.602856 135.460654 \nL 124.732176 137.450998 \nL 121.638987 139.259664 \nL 119.073124 140.969421 \nL 110.637345 147.050962 \nL 108.416739 148.262186 \nL 106.011265 149.264721 \nL 103.38672 150.002607 \nL 100.529867 150.412123 \nL 99.016733 150.471753 \nL 97.451897 150.42211 \nL 95.841439 150.25349 \nL 94.193696 149.956175 \nL 92.51945 149.520695 \nL 90.832101 148.938202 \nL 89.147798 148.200907 \nL 87.485467 147.302634 \nL 85.866748 146.239445 \nL 84.315785 145.010338 \nL 82.858837 143.617975 \nL 81.523688 142.069382 \nL 80.338855 140.376582 \nL 79.332584 138.557052 \nL 78.531669 136.633931 \nL 77.960158 134.635895 \nL 77.638036 132.596662 \nL 77.57996 130.554039 \nL 77.794223 128.548594 \nL 78.28198 126.621963 \nL 79.036909 124.814969 \nL 80.0453 123.165654 \nL 81.286611 121.707459 \nL 82.734444 120.467696 \nL 84.357816 119.46645 \nL 86.122661 118.71599 \nL 87.993373 118.220766 \nL 89.934284 117.977842 \nL 91.910995 117.977806 \nL 93.891422 118.205888 \nL 95.8466 118.643262 \nL 97.751187 119.268371 \nL 99.583694 120.05815 \nL 101.326518 120.9891 \nL 102.965775 122.03817 \nL 104.49101 123.183421 \nL 105.894842 124.404491 \nL 107.172543 125.682893 \nL 108.321625 127.00213 \nL 110.232696 129.707139 \nL 111.637893 132.426168 \nL 112.559801 135.091947 \nL 113.02581 137.657271 \nL 113.062666 140.089016 \nL 112.693132 142.362801 \nL 111.934353 144.458437 \nL 110.797591 146.356083 \nL 109.289125 148.032939 \nL 107.412258 149.460276 \nL 106.336652 150.069125 \nL 105.170511 150.600809 \nL 103.915047 151.048965 \nL 102.572145 151.406449 \nL 101.144583 151.665325 \nL 99.636292 151.816887 \nL 98.052648 151.851698 \nL 96.400762 151.759716 \nL 94.689808 151.530462 \nL 92.931339 151.153291 \nL 91.139578 150.617751 \nL 89.331673 149.914047 \nL 87.527883 149.033645 \nL 85.751642 147.969991 \nL 84.029459 146.719308 \nL 82.39065 145.281524 \nL 80.866802 143.661185 \nL 79.490984 141.868329 \nL 78.296687 139.919248 \nL 77.316494 137.836969 \nL 76.580557 135.651371 \nL 76.114958 133.398864 \nL 75.940092 131.121492 \nL 76.069224 128.86551 \nL 76.50735 126.679459 \nL 77.250559 124.611883 \nL 78.28593 122.708858 \nL 79.592031 121.011626 \nL 81.139978 119.554499 \nL 82.894954 118.363298 \nL 84.818024 117.454477 \nL 86.868068 116.83491 \nL 89.003646 116.502384 \nL 91.184692 116.446607 \nL 93.373859 116.65067 \nL 95.537535 117.092632 \nL 97.646469 117.747196 \nL 99.676074 118.587286 \nL 101.606427 119.585363 \nL 103.422065 120.714549 \nL 105.111609 121.949431 \nL 106.667294 123.266614 \nL 108.084462 124.645054 \nL 109.361036 126.066188 \nL 110.497018 127.513919 \nL 111.494022 128.974508 \nL 113.083168 131.88992 \nL 114.15909 134.741772 \nL 114.756886 137.482887 \nL 114.909917 140.082357 \nL 114.646008 142.519406 \nL 113.985548 144.778327 \nL 112.941004 146.84434 \nL 111.517573 148.700073 \nL 109.714866 150.322387 \nL 108.670288 151.036472 \nL 107.529663 151.679407 \nL 106.29281 152.245373 \nL 104.959966 152.727669 \nL 103.532001 153.118637 \nL 102.010683 153.409633 \nL 100.398964 153.591001 \nL 98.70131 153.652102 \nL 96.924059 153.581399 \nL 95.075809 153.366606 \nL 93.16782 152.994952 \nL 91.214402 152.453545 \nL 89.233288 151.729874 \nL 87.245912 150.812464 \nL 85.277595 149.69171 \nL 83.357558 148.360846 \nL 81.518686 146.817072 \nL 79.797023 145.062733 \nL 78.230922 143.106497 \nL 76.859842 140.96443 \nL 75.722766 138.660778 \nL 74.856341 136.228322 \nL 74.292818 133.70816 \nL 74.057955 131.148769 \nL 74.169097 128.604355 \nL 74.633651 126.132477 \nL 75.448152 123.791171 \nL 76.598045 121.63578 \nL 78.058294 119.715833 \nL 79.794696 118.072353 \nL 81.76585 116.73582 \nL 83.925468 115.725027 \nL 86.224864 115.046896 \nL 88.615329 114.697196 \nL 91.050199 114.661944 \nL 93.486509 114.919326 \nL 95.88615 115.441821 \nL 98.216549 116.198349 \nL 100.450902 117.156206 \nL 102.568072 118.282706 \nL 104.552228 119.546464 \nL 106.392299 120.918307 \nL 108.08135 122.371838 \nL 109.61592 123.883736 \nL 110.995368 125.433804 \nL 112.221268 127.004878 \nL 113.296856 128.582614 \nL 114.226556 130.155213 \nL 115.669459 133.248677 \nL 116.594928 136.230126 \nL 117.046916 139.066124 \nL 117.063244 141.737234 \nL 116.672811 144.23188 \nL 115.89447 146.541582 \nL 114.7371 148.657117 \nL 113.200616 150.565217 \nL 112.288167 151.435463 \nL 111.277824 152.245465 \nL 110.168046 152.99104 \nL 108.957266 153.667155 \nL 107.644067 154.267832 \nL 106.227378 154.786035 \nL 104.706714 155.213583 \nL 103.08245 155.541063 \nL 101.356151 155.75777 \nL 99.530951 155.851699 \nL 97.611966 155.809564 \nL 95.606777 155.616936 \nL 93.525927 155.258432 \nL 91.383441 154.718101 \nL 89.197341 153.979918 \nL 86.990098 153.028521 \nL 84.788973 151.850135 \nL 82.626193 150.433747 \nL 80.538838 148.772487 \nL 78.568411 146.865163 \nL 76.759956 144.717873 \nL 75.160697 142.345535 \nL 73.818176 139.77315 \nL 72.77793 137.03655 \nL 72.080835 134.182427 \nL 71.760337 131.267438 \nL 71.839812 128.35625 \nL 72.330417 125.518612 \nL 73.229682 122.825593 \nL 74.521122 120.345388 \nL 76.174916 118.139111 \nL 78.149646 116.257113 \nL 80.394885 114.736254 \nL 82.854295 113.598385 \nL 85.468914 112.850194 \nL 88.180244 112.48429 \nL 90.932918 112.48121 \nL 93.676707 112.812092 \nL 96.367872 113.441568 \nL 98.969849 114.330563 \nL 101.453378 115.438805 \nL 103.796189 116.7268 \nL 105.982411 118.157388 \nL 108.001781 119.696698 \nL 109.84879 121.314719 \nL 111.521813 122.985492 \nL 113.0223 124.687049 \nL 114.354027 126.401164 \nL 115.522453 128.113014 \nL 116.534161 129.810757 \nL 117.396394 131.485132 \nL 118.702523 134.737189 \nL 119.499446 137.831959 \nL 119.839149 140.751111 \nL 119.763209 143.487512 \nL 119.301083 146.039558 \nL 118.469754 148.406983 \nL 117.274232 150.587518 \nL 115.708705 152.574033 \nL 113.758258 154.35164 \nL 112.632134 155.15457 \nL 111.401371 155.894566 \nL 110.062841 156.566105 \nL 108.613546 157.162507 \nL 107.050845 157.675786 \nL 105.372717 158.096516 \nL 103.578093 158.413704 \nL 101.667244 158.61468 \nL 99.64224 158.685026 \nL 97.50748 158.608576 \nL 95.270297 158.367494 \nL 92.941627 157.942491 \nL 90.536703 157.31322 \nL 88.075783 156.458881 \nL 85.584799 155.35911 \nL 83.095904 153.995183 \nL 80.647775 152.351558 \nL 78.285578 150.41774 \nL 76.06045 148.190429 \nL 74.028369 145.67579 \nL 72.24833 142.891634 \nL 70.779755 139.869253 \nL 69.679274 136.654481 \nL 68.996997 133.307693 \nL 68.772653 129.902381 \nL 69.032026 126.522192 \nL 69.784158 123.256499 \nL 71.01979 120.194895 \nL 72.711323 117.421148 \nL 74.814396 115.007469 \nL 77.270891 113.009807 \nL 80.012988 111.464756 \nL 82.967681 110.388475 \nL 86.061256 109.777489 \nL 89.223218 109.611136 \nL 92.389353 109.855133 \nL 95.503797 110.465621 \nL 98.520102 111.393208 \nL 101.401481 112.586583 \nL 104.120402 113.995439 \nL 106.657729 115.572629 \nL 109.001629 117.275551 \nL 111.146379 119.066895 \nL 113.091179 120.914848 \nL 114.839054 122.792961 \nL 116.395874 124.67973 \nL 117.769514 126.558075 \nL 118.969147 128.414745 \nL 120.004668 130.239731 \nL 121.623918 133.767513 \nL 122.705796 137.106445 \nL 123.320078 140.24398 \nL 123.52367 143.180683 \nL 123.358917 145.923848 \nL 122.853362 148.48316 \nL 122.020288 150.867674 \nL 120.859641 153.083468 \nL 119.359138 155.131578 \nL 117.495553 157.005744 \nL 115.236347 158.689694 \nL 112.542016 160.153582 \nL 111.018301 160.788854 \nL 109.3698 161.34938 \nL 107.591641 161.825374 \nL 105.679681 162.205136 \nL 103.630919 162.474853 \nL 101.443998 162.618391 \nL 99.119819 162.617148 \nL 96.662268 162.449974 \nL 94.07906 162.093217 \nL 91.382703 161.520955 \nL 88.591526 160.705474 \nL 85.730768 159.618087 \nL 82.833581 158.2304 \nL 79.941887 156.516063 \nL 77.106871 154.453107 \nL 74.388927 152.026806 \nL 71.85684 149.233004 \nL 69.585937 146.081657 \nL 67.655098 142.600161 \nL 66.142583 138.835985 \nL 65.12082 134.857914 \nL 64.650602 130.755301 \nL 64.77533 126.634845 \nL 65.516122 122.614866 \nL 66.868624 118.817342 \nL 68.802163 115.358773 \nL 71.261538 112.340981 \nL 74.171246 109.843339 \nL 77.441508 107.917584 \nL 80.975179 106.585772 \nL 84.674557 105.841515 \nL 88.447262 105.653879 \nL 92.210639 105.973041 \nL 95.894527 106.736665 \nL 99.44244 107.876052 \nL 102.811495 109.321487 \nL 105.971423 111.006288 \nL 108.903027 112.869617 \nL 111.596403 114.85806 \nL 114.049136 116.926267 \nL 116.2646 119.036852 \nL 118.250465 121.159839 \nL 120.017421 123.271851 \nL 121.578129 125.355163 \nL 122.946382 127.396776 \nL 124.136439 129.387553 \nL 126.038472 133.19477 \nL 127.391584 136.754094 \nL 128.289747 140.066034 \nL 128.810242 143.143652 \nL 129.012966 146.005908 \nL 128.941135 148.673673 \nL 128.622615 151.167407 \nL 128.071385 153.50578 \nL 127.28883 155.704862 \nL 126.264735 157.777452 \nL 124.977927 159.732378 \nL 123.396598 161.573466 \nL 121.478457 163.297972 \nL 119.170915 164.894106 \nL 116.411725 166.337331 \nL 113.130733 167.584917 \nL 111.271379 168.115184 \nL 109.253833 168.56828 \nL 107.069495 168.929919 \nL 104.71083 169.182792 \nL 102.17201 169.306141 \nL 99.449745 169.275359 \nL 96.544323 169.06163 \nL 93.460875 168.631733 \nL 90.210905 167.948049 \nL 86.814025 166.968953 \nL 83.299877 165.649724 \nL 79.710103 163.944207 \nL 76.100164 161.807401 \nL 72.540695 159.199168 \nL 69.118017 156.089149 \nL 65.933243 152.462775 \nL 63.099519 148.327958 \nL 60.736959 143.721721 \nL 58.965102 138.715554 \nL 57.893244 133.418021 \nL 57.609559 127.973154 \nL 58.170554 122.55359 \nL 59.592733 117.348393 \nL 61.848314 112.546759 \nL 64.866185 108.320083 \nL 68.53821 104.805552 \nL 72.729787 102.094266 \nL 77.292693 100.225892 \nL 82.077936 99.190264 \nL 86.946654 98.934753 \nL 91.777888 99.375355 \nL 96.472863 100.40902 \nL 100.956173 101.92518 \nL 105.174622 103.815137 \nL 109.094614 105.978702 \nL 112.698858 108.328148 \nL 115.982954 110.789911 \nL 118.952234 113.304592 \nL 121.619036 115.825924 \nL 124.000446 118.319112 \nL 126.116534 120.758958 \nL 127.988983 123.128058 \nL 131.091929 127.613481 \nL 133.482762 131.734189 \nL 135.319588 135.491252 \nL 136.739079 138.906444 \nL 138.329815 143.454239 \nL 141.972808 154.748589 \nL 142.768611 156.435212 \nL 143.675509 157.951275 \nL 144.730168 159.295261 \nL 145.972371 160.459856 \nL 147.446814 161.43102 \nL 149.204749 162.186569 \nL 151.305394 162.69417 \nL 153.816912 162.908608 \nL 156.816537 162.768313 \nL 160.389088 162.191197 \nL 164.622578 161.070325 \nL 167.013389 160.264906 \nL 169.59882 159.270652 \nL 172.38528 158.066374 \nL 175.375978 156.629625 \nL 178.569663 154.937341 \nL 181.959051 152.966811 \nL 185.529003 150.697129 \nL 189.254402 148.111179 \nL 193.0979 145.198278 \nL 197.007601 141.957481 \nL 200.915029 138.401513 \nL 204.733717 134.561058 \nL 208.358938 130.488999 \nL 211.669201 126.263892 \nL 214.530123 121.991625 \nL 216.801151 117.804154 \nL 218.345254 113.854174 \nL 219.041113 110.305077 \nL 218.796553 107.316435 \nL 217.561227 105.026514 \nL 215.336065 103.534654 \nL 212.177151 102.88725 \nL 208.192645 103.070704 \nL 203.532764 104.013509 \nL 198.374604 105.597172 \nL 192.904684 107.673537 \nL 187.302447 110.084446 \nL 181.727254 112.67968 \nL 171.151001 117.935808 \nL 157.776727 124.918765 \nL 147.821247 130.385004 \nL 142.876681 133.36106 \nL 139.022817 135.993295 \nL 136.025615 138.414945 \nL 133.672335 140.716389 \nL 131.780028 142.95014 \nL 130.19604 145.140996 \nL 127.472539 149.411237 \nL 125.451886 152.49007 \nL 123.974302 154.462165 \nL 122.316514 156.353325 \nL 120.416724 158.146194 \nL 118.213268 159.818335 \nL 115.643331 161.338955 \nL 112.64315 162.664354 \nL 110.962058 163.235214 \nL 109.150399 163.731925 \nL 107.201529 164.14248 \nL 105.109851 164.452684 \nL 102.871292 164.645891 \nL 100.483889 164.702742 \nL 97.94853 164.60097 \nL 95.269838 164.315316 \nL 92.457201 163.817579 \nL 89.52595 163.07694 \nL 86.498637 162.060625 \nL 83.40631 160.735012 \nL 80.289723 159.067315 \nL 77.200254 157.027953 \nL 74.200321 154.593629 \nL 71.362998 151.751078 \nL 68.770557 148.501317 \nL 66.511641 144.863966 \nL 64.676922 140.881087 \nL 63.353361 136.619712 \nL 62.617368 132.172223 \nL 62.527628 127.653857 \nL 63.118553 123.196925 \nL 64.395485 118.942017 \nL 66.332592 115.027086 \nL 68.874053 111.575925 \nL 71.938447 108.687897 \nL 75.425675 106.430553 \nL 79.225308 104.836162 \nL 83.225022 103.902455 \nL 87.318024 103.596947 \nL 91.408662 103.863684 \nL 95.415955 104.631078 \nL 99.275123 105.819606 \nL 102.937486 107.348398 \nL 106.369229 109.140328 \nL 109.549477 111.125399 \nL 112.468105 113.242654 \nL 115.123538 115.440843 \nL 117.520724 117.67823 \nL 119.669364 119.921819 \nL 121.582441 122.14629 \nL 123.275018 124.332834 \nL 124.763296 126.468004 \nL 127.193273 130.551016 \nL 129.001408 134.358241 \nL 130.304507 137.88514 \nL 131.202039 141.144773 \nL 131.774722 144.158631 \nL 132.085199 146.951269 \nL 132.179717 149.547363 \nL 132.090141 151.970137 \nL 131.835903 154.240703 \nL 131.425655 156.377792 \nL 130.85851 158.397747 \nL 130.12485 160.314587 \nL 129.206677 162.139979 \nL 128.077557 163.883043 \nL 126.702195 165.549829 \nL 125.035717 167.142306 \nL 123.022787 168.65661 \nL 120.596784 170.080212 \nL 117.679449 171.387476 \nL 114.18174 172.532991 \nL 112.185214 173.023171 \nL 110.007187 173.441819 \nL 107.635743 173.772728 \nL 105.059914 173.995922 \nL 102.270438 174.087022 \nL 99.260777 174.016605 \nL 96.028429 173.749591 \nL 92.576574 173.244778 \nL 88.916119 172.454629 \nL 85.068113 171.325538 \nL 81.066468 169.7988 \nL 76.960881 167.812633 \nL 72.81961 165.305595 \nL 68.731707 162.221722 \nL 64.808009 158.517591 \nL 61.18011 154.171201 \nL 57.996372 149.192085 \nL 55.414338 143.631326 \nL 53.589236 137.589474 \nL 52.659239 131.219837 \nL 52.729188 124.724656 \nL 53.855534 118.342622 \nL 56.035778 112.32823 \nL 59.205213 106.925653 \nL 63.242271 102.342059 \nL 67.981742 98.7258 \nL 73.233035 96.153923 \nL 78.799739 94.630861 \nL 84.496862 94.097297 \nL 90.163338 94.445986 \nL 95.66895 95.540337 \nL 100.916218 97.232147 \nL 105.838504 99.375977 \nL 110.395891 101.83914 \nL 114.570117 104.507368 \nL 118.359506 107.286906 \nL 121.77443 110.104103 \nL 124.833533 112.903418 \nL 127.560766 115.644737 \nL 129.983129 118.300473 \nL 132.129013 120.85283 \nL 135.705172 125.611346 \nL 138.507795 129.893348 \nL 140.732805 133.716467 \nL 144.095852 140.132676 \nL 146.16408 144.015385 \nL 147.510245 146.216209 \nL 148.920905 148.127773 \nL 150.463472 149.757379 \nL 152.200222 151.102233 \nL 154.19109 152.14866 \nL 156.495506 152.871041 \nL 157.783913 153.099119 \nL 159.173018 153.230486 \nL 160.670115 153.257975 \nL 162.282248 153.173431 \nL 164.016035 152.967696 \nL 165.877425 152.63063 \nL 167.871384 152.151176 \nL 170.001481 151.51748 \nL 172.269392 150.717109 \nL 174.674276 149.737375 \nL 177.212044 148.565806 \nL 179.874503 147.190805 \nL 182.648399 145.602512 \nL 185.514379 143.793923 \nL 188.445928 141.762266 \nL 191.408378 139.510616 \nL 194.358081 137.049713 \nL 197.241949 134.399848 \nL 199.997544 131.59264 \nL 202.553925 128.672433 \nL 204.833492 125.696951 \nL 206.754973 122.736829 \nL 208.237619 119.873633 \nL 209.206441 117.196143 \nL 209.598138 114.79488 \nL 209.367117 112.755198 \nL 208.490754 111.149738 \nL 206.973063 110.031285 \nL 204.846025 109.427227 \nL 202.168134 109.336784 \nL 199.020258 109.731494 \nL 195.499324 110.559087 \nL 191.710822 111.749887 \nL 187.761171 113.224643 \nL 183.750984 114.90241 \nL 175.893311 118.573433 \nL 168.676988 122.290189 \nL 162.401063 125.784436 \nL 157.167582 128.9615 \nL 152.947618 131.833482 \nL 149.640608 134.458489 \nL 147.11677 136.901401 \nL 145.243312 139.214961 \nL 143.898666 141.434289 \nL 142.978972 143.578307 \nL 142.399963 145.653692 \nL 142.096365 147.659019 \nL 142.020128 149.588141 \nL 142.138278 151.432453 \nL 142.430856 153.182223 \nL 142.889165 154.827123 \nL 143.514448 156.35617 \nL 144.317019 157.757246 \nL 145.315828 159.016236 \nL 146.538429 160.115849 \nL 148.021257 161.034081 \nL 149.810114 161.742238 \nL 151.96068 162.202445 \nL 154.538731 162.364524 \nL 157.619554 162.162215 \nL 161.285671 161.508902 \nL 165.621434 160.293412 \nL 168.064809 159.432675 \nL 170.702286 158.377393 \nL 173.538758 157.106332 \nL 176.575499 155.597308 \nL 179.808825 153.827927 \nL 183.228468 151.776713 \nL 186.815691 149.424714 \nL 190.541187 146.757674 \nL 194.362858 143.768839 \nL 198.223671 140.462394 \nL 202.049912 136.857398 \nL 205.750209 132.991954 \nL 209.215922 128.927042 \nL 212.323414 124.749274 \nL 214.938825 120.571502 \nL 216.925642 116.53019 \nL 218.155018 112.778628 \nL 218.518098 109.475599 \nL 217.938875 106.770223 \nL 216.385499 104.784808 \nL 213.877626 103.598883 \nL 210.487876 103.237811 \nL 206.336479 103.668963 \nL 201.579736 104.806756 \nL 196.394427 106.525458 \nL 190.961068 108.676914 \nL 185.448963 111.10914 \nL 174.747992 116.279578 \nL 160.834894 123.474712 \nL 150.254132 129.230255 \nL 144.944336 132.355876 \nL 140.791873 135.093048 \nL 137.566245 137.58321 \nL 135.050915 139.928397 \nL 133.056286 142.191626 \nL 131.422635 144.40557 \nL 129.367021 147.657361 \nL 126.182906 152.861773 \nL 124.772121 154.840436 \nL 123.186837 156.742069 \nL 121.36693 158.551673 \nL 119.251714 160.24984 \nL 116.77843 161.809659 \nL 113.882047 163.192402 \nL 110.496966 164.341726 \nL 108.601575 164.804631 \nL 106.561687 165.176227 \nL 104.37175 165.440957 \nL 102.027943 165.580545 \nL 99.528867 165.573736 \nL 96.876374 165.396093 \nL 94.076575 165.019935 \nL 91.141001 164.414457 \nL 88.087915 163.546175 \nL 84.943713 162.379746 \nL 81.744313 160.879366 \nL 78.536397 159.010811 \nL 75.378259 156.744265 \nL 72.340016 154.05794 \nL 69.502833 150.942387 \nL 66.95681 147.405229 \nL 64.797333 143.475789 \nL 63.119721 139.208847 \nL 62.012445 134.686606 \nL 61.549405 130.017923 \nL 61.782279 125.334092 \nL 62.734066 120.781042 \nL 64.395077 116.508506 \nL 66.722294 112.657567 \nL 69.642361 109.348453 \nL 73.057878 106.670638 \nL 76.855903 104.676819 \nL 80.91728 103.381521 \nL 85.125367 102.764077 \nL 89.373111 102.774975 \nL 93.567897 103.344096 \nL 97.63408 104.389327 \nL 101.513548 105.824352 \nL 105.164771 107.564965 \nL 108.56094 109.533472 \nL 111.687634 111.661364 \nL 114.540401 113.890503 \nL 117.122473 116.173194 \nL 119.442753 118.471504 \nL 121.514113 120.756181 \nL 123.352012 123.005391 \nL 124.973402 125.203426 \nL 126.39589 127.339514 \nL 128.714203 131.40132 \nL 130.44073 135.167428 \nL 131.694018 138.642214 \nL 132.573745 141.844235 \nL 133.160308 144.798195 \nL 133.516169 147.530384 \nL 133.715672 151.268018 \nL 133.600609 154.640591 \nL 133.22073 157.713016 \nL 132.58426 160.538876 \nL 132.005568 162.30793 \nL 131.285652 163.998258 \nL 130.401876 165.61944 \nL 129.324393 167.179419 \nL 128.015261 168.684025 \nL 126.427279 170.136058 \nL 124.502629 171.533668 \nL 122.171469 172.867705 \nL 119.350825 174.117493 \nL 115.944404 175.244317 \nL 111.844484 176.181611 \nL 109.499037 176.547379 \nL 106.938007 176.820752 \nL 104.148665 176.978387 \nL 101.120338 176.991596 \nL 97.845652 176.825531 \nL 94.322193 176.438414 \nL 90.554583 175.780943 \nL 86.557076 174.796068 \nL 82.356621 173.419394 \nL 77.996324 171.580593 \nL 73.539099 169.206243 \nL 69.071025 166.224603 \nL 64.703807 162.572726 \nL 60.575343 158.206138 \nL 56.847274 153.110684 \nL 53.698365 147.31554 \nL 51.312924 140.90517 \nL 49.864385 134.027189 \nL 49.495526 126.892576 \nL 50.29838 119.765328 \nL 52.298062 112.94074 \nL 55.444702 106.714612 \nL 59.616269 101.348942 \nL 64.63226 97.041463 \nL 70.275311 93.905837 \nL 76.315847 91.966144 \nL 82.53468 91.165387 \nL 88.739875 91.38415 \nL 94.776362 92.463932 \nL 100.52877 94.229968 \nL 105.919211 96.509912 \nL 110.902037 99.146787 \nL 115.45741 102.006284 \nL 119.584912 104.979344 \nL 123.297936 107.981483 \nL 126.619099 110.950147 \nL 129.576714 113.841194 \nL 132.20219 116.625197 \nL 134.528166 119.284043 \nL 138.411003 124.193249 \nL 141.471674 128.551849 \nL 144.990968 134.125932 \nL 148.58344 139.996905 \nL 150.20766 142.353249 \nL 151.854259 144.359766 \nL 153.606415 146.029706 \nL 155.536645 147.36449 \nL 157.709864 148.353281 \nL 158.906263 148.711082 \nL 160.18513 148.972548 \nL 161.552946 149.132699 \nL 163.015722 149.185733 \nL 164.578877 149.125063 \nL 166.247056 148.943349 \nL 168.023903 148.632592 \nL 169.91177 148.184253 \nL 171.911334 147.589458 \nL 174.021177 146.839259 \nL 176.237252 145.925007 \nL 178.552301 144.838847 \nL 180.955198 143.574354 \nL 183.430256 142.127295 \nL 185.956538 140.496588 \nL 188.507216 138.685367 \nL 191.04905 136.702172 \nL 193.542125 134.562173 \nL 195.939901 132.288306 \nL 198.189772 129.912192 \nL 200.234214 127.474621 \nL 202.012628 125.025369 \nL 203.463939 122.622185 \nL 204.529861 120.328744 \nL 205.158695 118.2115 \nL 205.309305 116.335657 \nL 204.954875 114.760473 \nL 204.085957 113.534496 \nL 202.712292 112.691355 \nL 200.863091 112.246825 \nL 198.585594 112.197569 \nL 195.942026 112.521959 \nL 193.005363 113.182723 \nL 189.854395 114.131085 \nL 186.56879 115.31164 \nL 183.224642 116.667264 \nL 176.627354 119.691472 \nL 170.494802 122.848581 \nL 165.090275 125.91518 \nL 160.52929 128.788609 \nL 156.82125 131.448337 \nL 153.911361 133.915767 \nL 151.713641 136.22511 \nL 150.133361 138.407075 \nL 149.080681 140.482168 \nL 148.477963 142.459639 \nL 148.26304 144.339068 \nL 148.390036 146.112536 \nL 148.828901 147.766539 \nL 149.564359 149.28316 \nL 150.594673 150.640453 \nL 151.930445 151.812083 \nL 153.593454 152.766317 \nL 155.615432 153.464478 \nL 158.036477 153.858966 \nL 160.902663 153.891063 \nL 164.262087 153.488918 \nL 168.158331 152.566451 \nL 170.317656 151.879517 \nL 172.619906 151.024545 \nL 175.063637 149.98805 \nL 177.644056 148.756864 \nL 180.352111 147.31883 \nL 183.173471 145.663717 \nL 186.087443 143.784404 \nL 189.065852 141.678324 \nL 192.072002 139.349182 \nL 195.059862 136.808859 \nL 197.973606 134.079385 \nL 200.747797 131.194765 \nL 203.308359 128.202368 \nL 205.574649 125.163494 \nL 207.462738 122.152684 \nL 208.889934 119.255442 \nL 209.780381 116.564033 \nL 210.071318 114.171529 \nL 209.719275 112.164412 \nL 208.705383 110.614614 \nL 207.038834 109.572261 \nL 204.757764 109.060301 \nL 201.927228 109.072146 \nL 198.634364 109.572928 \nL 194.981484 110.504113 \nL 191.078113 111.79066 \nL 187.033127 113.349361 \nL 182.948019 115.096937 \nL 174.998744 118.86352 \nL 167.754994 122.625328 \nL 161.495082 126.130972 \nL 156.301552 129.302322 \nL 152.130483 132.163223 \nL 148.871162 134.778347 \nL 146.387581 137.215327 \nL 144.543458 139.52746 \nL 143.21545 141.749465 \nL 142.298877 143.899656 \nL 141.709073 145.984267 \nL 141.380431 148.001781 \nL 141.264398 149.946305 \nL 141.327168 151.809868 \nL 141.547506 153.583733 \nL 141.914915 155.25896 \nL 142.428234 156.826392 \nL 143.094706 158.276281 \nL 143.929484 159.597581 \nL 144.955551 160.77697 \nL 146.203993 161.79761 \nL 147.714565 162.637525 \nL 149.53643 163.267555 \nL 151.728898 163.648742 \nL 154.361853 163.729005 \nL 157.515319 163.439079 \nL 161.277216 162.687859 \nL 165.737782 161.357727 \nL 168.256269 160.430737 \nL 170.978189 159.301511 \nL 173.908895 157.94732 \nL 177.049872 156.34437 \nL 180.397265 154.46861 \nL 183.940109 152.296963 \nL 187.658248 149.809104 \nL 191.520025 146.989868 \nL 195.47983 143.832373 \nL 199.475767 140.341853 \nL 203.427739 136.54004 \nL 207.236468 132.469792 \nL 210.784057 128.19928 \nL 213.936724 123.824876 \nL 216.550397 119.471495 \nL 218.479455 115.289171 \nL 219.588484 111.44478 \nL 219.7661 108.108744 \nL 218.939032 105.437583 \nL 217.084004 103.554798 \nL 214.23471 102.533782 \nL 210.481818 102.386691 \nL 205.965323 103.062464 \nL 200.8604 104.454712 \nL 195.359468 106.417894 \nL 189.653897 108.787797 \nL 183.918557 111.401852 \nL 172.917028 116.812193 \nL 158.841009 124.10887 \nL 148.283664 129.805552 \nL 143.023082 132.868077 \nL 138.917267 135.545108 \nL 135.721794 137.984029 \nL 133.212338 140.286976 \nL 131.195051 142.514581 \nL 129.507762 144.696455 \nL 126.61226 148.947599 \nL 124.47032 152.010318 \nL 122.907747 153.968038 \nL 121.158352 155.839057 \nL 119.158536 157.602776 \nL 116.845898 159.232647 \nL 114.158277 160.692678 \nL 111.034549 161.932647 \nL 109.291074 162.449043 \nL 107.417939 162.88198 \nL 105.409864 163.218261 \nL 103.262987 163.442469 \nL 100.975389 163.536747 \nL 98.547755 163.480628 \nL 95.984155 163.250939 \nL 93.292969 162.821879 \nL 90.487926 162.165259 \nL 87.589235 161.251085 \nL 84.624739 160.048515 \nL 81.631009 158.527294 \nL 78.65419 156.659787 \nL 75.75046 154.423643 \nL 72.985807 151.805029 \nL 70.434913 148.802352 \nL 68.178868 145.430121 \nL 66.301591 141.722481 \nL 64.884953 137.73578 \nL 64.002866 133.54941 \nL 63.714884 129.264285 \nL 64.060106 124.998491 \nL 65.052335 120.880217 \nL 66.677359 117.038477 \nL 68.893008 113.592921 \nL 71.632097 110.644129 \nL 74.807874 108.266022 \nL 78.321083 106.501388 \nL 82.0676 105.361098 \nL 85.945538 104.826725 \nL 89.861011 104.855742 \nL 93.732181 105.388208 \nL 97.491429 106.353759 \nL 101.085975 107.678012 \nL 104.477235 109.287754 \nL 107.6394 111.114762 \nL 110.557588 113.09816 \nL 113.225856 115.185584 \nL 115.645285 117.333418 \nL 117.822249 119.506397 \nL 119.766925 121.676787 \nL 121.492059 123.823416 \nL 123.011963 125.930624 \nL 124.34173 127.987267 \nL 126.491667 131.921684 \nL 128.058863 135.597025 \nL 129.147568 139.011157 \nL 129.845128 142.176897 \nL 130.220931 145.114234 \nL 130.327065 147.845713 \nL 130.199786 150.393831 \nL 129.861197 152.779602 \nL 129.320817 155.021804 \nL 128.576825 157.136566 \nL 127.61691 159.137031 \nL 126.418706 161.032934 \nL 124.94987 162.82986 \nL 123.167879 164.527995 \nL 121.019757 166.120077 \nL 118.442013 167.588184 \nL 115.361345 168.898885 \nL 111.696991 169.99617 \nL 109.61991 170.438736 \nL 107.366231 170.79157 \nL 104.927097 171.036411 \nL 102.295347 171.151216 \nL 99.466414 171.109652 \nL 96.439453 170.88067 \nL 93.218751 170.428182 \nL 89.815428 169.71101 \nL 86.24941 168.683209 \nL 82.551641 167.295 \nL 78.76638 165.494535 \nL 74.953372 163.230762 \nL 71.18953 160.457598 \nL 67.569626 157.139571 \nL 64.205422 153.258797 \nL 61.222553 148.822854 \nL 58.754659 143.872607 \nL 56.934576 138.488554 \nL 55.882963 132.793832 \nL 55.69555 126.95208 \nL 56.430901 121.158965 \nL 58.101069 115.627269 \nL 60.667312 110.56732 \nL 64.042225 106.16587 \nL 68.098161 102.567428 \nL 72.680369 99.861618 \nL 77.622301 98.078669 \nL 82.760286 97.193105 \nL 87.945352 97.133905 \nL 93.051041 97.798279 \nL 97.977114 99.06615 \nL 102.649781 100.813006 \nL 107.019536 102.919838 \nL 111.057629 105.279688 \nL 114.752067 107.801119 \nL 118.103713 110.409262 \nL 121.122815 113.045136 \nL 123.826132 115.663995 \nL 126.23462 118.233175 \nL 128.371671 120.729885 \nL 130.261791 123.139127 \nL 133.399328 127.663533 \nL 135.835536 131.780446 \nL 137.739132 135.501968 \nL 139.905634 140.407808 \nL 143.552939 149.259767 \nL 144.568503 151.233229 \nL 145.676154 152.985525 \nL 146.925104 154.519485 \nL 148.364393 155.830275 \nL 150.04523 156.90454 \nL 152.022844 157.719089 \nL 154.357741 158.239057 \nL 157.116044 158.41554 \nL 160.368394 158.182776 \nL 164.186466 157.455326 \nL 166.328636 156.873506 \nL 168.635647 156.126199 \nL 171.112524 155.196823 \nL 173.761797 154.067886 \nL 176.582577 152.721454 \nL 179.569434 151.139846 \nL 182.71108 149.306643 \nL 185.988878 147.208055 \nL 189.375219 144.834715 \nL 192.831871 142.183927 \nL 196.308458 139.262308 \nL 199.741284 136.088771 \nL 203.052847 132.697533 \nL 206.152388 129.140794 \nL 208.937885 125.490534 \nL 211.299865 121.838688 \nL 213.127218 118.294995 \nL 214.314926 114.981922 \nL 214.7732 112.02647 \nL 214.436998 109.549278 \nL 213.274573 107.652319 \nL 211.29339 106.407119 \nL 208.542093 105.84577 \nL 205.107715 105.956851 \nL 201.108357 106.687277 \nL 196.682484 107.949896 \nL 191.976688 109.63519 \nL 187.133937 111.624609 \nL 182.28398 113.803071 \nL 172.979572 118.338834 \nL 164.668318 122.668487 \nL 157.6201 126.534219 \nL 151.863359 129.905633 \nL 147.287372 132.866463 \nL 143.719218 135.531429 \nL 140.97125 138.00237 \nL 138.8663 140.352902 \nL 137.24882 142.628491 \nL 135.988018 144.852624 \nL 134.976768 147.034098 \nL 133.743152 150.225799 \nL 131.1399 157.223486 \nL 129.778059 160.002567 \nL 128.689586 161.778586 \nL 127.407889 163.492428 \nL 125.885818 165.14204 \nL 124.069418 166.722336 \nL 121.896309 168.222694 \nL 119.294519 169.623336 \nL 116.182209 170.890002 \nL 112.469141 171.966257 \nL 110.357884 172.406695 \nL 108.061394 172.762678 \nL 105.569056 173.015496 \nL 102.871808 173.142375 \nL 99.963063 173.115876 \nL 96.839891 172.903335 \nL 93.504529 172.466401 \nL 89.966227 171.760813 \nL 86.243444 170.736584 \nL 82.366352 169.338788 \nL 78.379526 167.509278 \nL 74.344577 165.189613 \nL 70.34234 162.325537 \nL 66.474066 158.873173 \nL 62.860887 154.806961 \nL 59.640773 150.128822 \nL 56.962237 144.87759 \nL 54.974514 139.136957 \nL 53.814494 133.039761 \nL 53.591792 126.766264 \nL 54.374172 120.534773 \nL 56.176306 114.584425 \nL 58.95456 109.152118 \nL 62.60953 104.447435 \nL 66.996178 100.630583 \nL 71.939585 97.797765 \nL 77.253082 95.976484 \nL 82.7553 95.130806 \nL 88.283525 95.17407 \nL 93.702085 95.985593 \nL 98.905795 97.427691 \nL 103.819475 99.360366 \nL 108.394834 101.652212 \nL 112.606037 104.187223 \nL 116.444932 106.868042 \nL 119.91659 109.616491 \nL 123.035462 112.372256 \nL 125.822268 115.090676 \nL 128.301578 117.740074 \nL 130.500008 120.299155 \nL 134.163357 125.099255 \nL 137.024854 129.447219 \nL 139.278042 133.350694 \nL 141.876849 138.441206 \nL 145.180544 145.187942 \nL 146.422233 147.36509 \nL 147.729883 149.272288 \nL 149.166117 150.916548 \nL 150.789662 152.295569 \nL 152.658124 153.396942 \nL 154.829977 154.197005 \nL 157.365565 154.659347 \nL 158.789071 154.74857 \nL 160.326716 154.733022 \nL 161.986068 154.603778 \nL 163.77433 154.350816 \nL 165.698081 153.96303 \nL 167.762924 153.428274 \nL 169.973057 152.733487 \nL 172.330709 151.864903 \nL 174.835462 150.808392 \nL 177.483436 149.549967 \nL 180.266333 148.076494 \nL 183.170351 146.376645 \nL 186.175009 144.442156 \nL 189.251926 142.269365 \nL 192.363667 139.861055 \nL 195.462776 137.22855 \nL 198.491219 134.393882 \nL 201.380454 131.391875 \nL 204.052379 128.271754 \nL 206.421468 125.097919 \nL 208.398229 121.94934 \nL 209.894075 118.917189 \nL 210.82742 116.100374 \nL 211.130537 113.598991 \nL 210.756426 111.506206 \nL 209.684683 109.899409 \nL 207.925363 108.83212 \nL 205.519942 108.32804 \nL 202.539006 108.378502 \nL 199.076845 108.943984 \nL 195.243713 109.959418 \nL 191.157019 111.342301 \nL 186.932707 113.00202 \nL 182.677983 114.848802 \nL 174.433384 118.78989 \nL 166.962334 122.679797 \nL 160.539073 126.267559 \nL 155.23277 129.486323 \nL 150.983817 132.373389 \nL 147.667167 135.004494 \nL 145.135056 137.454791 \nL 143.242022 139.78206 \nL 141.857606 142.02344 \nL 140.871453 144.19853 \nL 140.194094 146.314389 \nL 139.755489 148.370308 \nL 139.433231 151.330759 \nL 139.41108 154.123495 \nL 139.622588 156.727559 \nL 140.042215 159.125296 \nL 140.676516 161.301088 \nL 141.234533 162.620131 \nL 141.919635 163.826834 \nL 142.754527 164.912959 \nL 143.768343 165.867355 \nL 144.99757 166.674731 \nL 146.487208 167.31406 \nL 148.292094 167.756463 \nL 150.478254 167.962409 \nL 153.124008 167.87802 \nL 156.320292 167.430333 \nL 160.169231 166.521552 \nL 164.779278 165.02273 \nL 167.402793 164.001859 \nL 170.254091 162.768436 \nL 173.341846 161.295926 \nL 176.670875 159.555974 \nL 180.240461 157.519195 \nL 184.042269 155.156452 \nL 188.057839 152.440802 \nL 192.255696 149.350259 \nL 196.588197 145.871508 \nL 200.988354 142.004626 \nL 205.367024 137.768697 \nL 209.611118 133.207982 \nL 213.583597 128.397846 \nL 217.126229 123.449243 \nL 220.066061 118.510121 \nL 222.226181 113.761854 \nL 223.440759 109.409074 \nL 223.573155 105.662301 \nL 222.534657 102.714611 \nL 220.300303 100.715673 \nL 216.917833 99.748726 \nL 212.506855 99.816282 \nL 207.247428 100.83902 \nL 201.359939 102.668778 \nL 195.080615 105.112395 \nL 188.637731 107.960333 \nL 182.232784 111.013371 \nL 170.146925 117.098346 \nL 141.111688 132.098673 \nL 136.304385 134.817748 \nL 132.555902 137.213995 \nL 129.597834 139.428459 \nL 127.199194 141.545538 \nL 125.167642 143.606682 \nL 118.915849 150.418143 \nL 116.948394 152.179399 \nL 114.756385 153.806654 \nL 112.277623 155.260355 \nL 109.458186 156.490532 \nL 106.254288 157.43294 \nL 104.498376 157.771185 \nL 102.63713 158.004738 \nL 100.670691 158.119694 \nL 98.601443 158.100601 \nL 96.434522 157.930496 \nL 94.178395 157.591061 \nL 91.845486 157.062904 \nL 89.452818 156.326052 \nL 87.02265 155.360677 \nL 84.582999 154.148088 \nL 82.168027 152.672047 \nL 79.818127 150.920384 \nL 77.579626 148.886902 \nL 75.503963 146.573448 \nL 73.646265 143.991996 \nL 72.063244 141.166531 \nL 70.810418 138.134382 \nL 69.938825 134.946697 \nL 69.491434 131.667751 \nL 69.499623 128.372867 \nL 69.980179 125.144921 \nL 70.933207 122.069676 \nL 72.341367 119.230301 \nL 74.170558 116.70183 \nL 76.372044 114.54619 \nL 78.885752 112.808504 \nL 81.644316 111.515 \nL 84.577323 110.672833 \nL 87.615323 110.27153 \nL 90.693169 110.285766 \nL 93.752514 110.678919 \nL 96.743374 111.406883 \nL 99.624802 112.421701 \nL 102.364881 113.674701 \nL 104.940177 115.118957 \nL 107.33484 116.711025 \nL 109.53954 118.412011 \nL 111.550353 120.188099 \nL 113.367665 122.010617 \nL 114.99518 123.855819 \nL 116.439039 125.704468 \nL 117.707063 127.541319 \nL 118.808133 129.354576 \nL 119.751674 131.135338 \nL 121.204234 134.575327 \nL 122.13769 137.830342 \nL 122.615777 140.889331 \nL 122.689455 143.75272 \nL 122.395486 146.426578 \nL 121.756318 148.918577 \nL 120.780679 151.235037 \nL 119.464553 153.378533 \nL 117.792414 155.34559 \nL 115.738776 157.124144 \nL 113.270314 158.690385 \nL 111.868716 159.382271 \nL 110.349045 160.004756 \nL 108.706647 160.54961 \nL 106.937345 161.006949 \nL 105.037788 161.365035 \nL 103.005856 161.610081 \nL 100.841165 161.726098 \nL 98.545681 161.694773 \nL 96.124425 161.495457 \nL 93.586288 161.10525 \nL 90.944949 160.499302 \nL 88.219834 159.651346 \nL 85.437095 158.534599 \nL 82.630506 157.123045 \nL 79.842137 155.393195 \nL 77.122695 153.32638 \nL 74.531274 150.911492 \nL 72.134358 148.148088 \nL 70.003877 145.049583 \nL 68.214198 141.646179 \nL 66.838055 137.986986 \nL 65.941646 134.140774 \nL 65.579298 130.194834 \nL 65.788293 126.251582 \nL 66.584641 122.422921 \nL 67.960504 118.822782 \nL 69.883773 115.558682 \nL 72.300033 112.723522 \nL 75.136645 110.388799 \nL 78.30837 108.600152 \nL 81.723695 107.375883 \nL 85.290994 106.70828 \nL 88.923811 106.567326 \nL 92.544805 106.905875 \nL 96.088233 107.665466 \nL 99.501006 108.781889 \nL 102.742623 110.190005 \nL 105.784282 111.827416 \nL 108.607494 113.637062 \nL 111.202465 115.56865 \nL 113.56644 117.579292 \nL 115.702146 119.633438 \nL 117.616403 121.702405 \nL 119.318939 123.763654 \nL 120.821397 125.799951 \nL 122.136542 127.798523 \nL 123.27763 129.750254 \nL 125.090313 133.490835 \nL 126.359678 136.997225 \nL 127.173423 140.267644 \nL 127.603308 143.312791 \nL 127.704268 146.149374 \nL 127.514896 148.796095 \nL 127.058564 151.271251 \nL 126.344685 153.59118 \nL 125.369863 155.769172 \nL 124.118799 157.814494 \nL 122.564949 159.731215 \nL 120.671034 161.516543 \nL 118.389619 163.158398 \nL 115.664176 164.631818 \nL 112.431261 165.893807 \nL 110.603791 166.425442 \nL 108.62488 166.876228 \nL 106.48721 167.232201 \nL 104.184624 167.476573 \nL 101.71276 167.589375 \nL 99.069845 167.547125 \nL 96.257664 167.322576 \nL 93.28275 166.884608 \nL 90.157763 166.19834 \nL 86.903053 165.225616 \nL 83.548343 163.925975 \nL 80.134407 162.258279 \nL 76.714561 160.183203 \nL 73.355685 157.666647 \nL 70.138419 154.684192 \nL 67.156132 151.226353 \nL 64.512194 147.304372 \nL 62.315295 142.955759 \nL 60.672714 138.248597 \nL 59.681846 133.283416 \nL 59.420815 128.191416 \nL 59.939492 123.128292 \nL 61.252425 118.26364 \nL 63.335216 113.767003 \nL 66.125264 109.79256 \nL 69.527014 106.465063 \nL 73.420808 103.869481 \nL 77.673822 102.04601 \nL 82.151166 100.990875 \nL 86.725539 100.662121 \nL 91.284372 100.988756 \nL 95.734053 101.881187 \nL 100.00148 103.241309 \nL 104.033492 104.970947 \nL 107.794909 106.978066 \nL 111.265824 109.180753 \nL 114.438675 111.509126 \nL 117.315442 113.905764 \nL 119.905141 116.325066 \nL 122.221732 118.731983 \nL 124.282412 121.100492 \nL 126.106283 123.412022 \nL 127.713328 125.653967 \nL 130.356934 129.900849 \nL 132.366743 133.81495 \nL 133.879944 137.402197 \nL 135.013246 140.684308 \nL 136.205414 145.096933 \nL 137.000278 148.982241 \nL 138.027958 155.494307 \nL 138.766022 159.912708 \nL 139.490314 162.905096 \nL 140.197739 164.858775 \nL 141.117004 166.565542 \nL 141.886949 167.560696 \nL 142.816991 168.433096 \nL 143.943614 169.170611 \nL 145.31111 169.755496 \nL 146.973203 170.162562 \nL 148.994754 170.356651 \nL 151.453368 170.28918 \nL 154.44051 169.893543 \nL 158.061347 169.079233 \nL 162.431909 167.724849 \nL 167.67109 165.670939 \nL 170.6504 164.320148 \nL 173.883464 162.715336 \nL 177.375825 160.825148 \nL 181.126898 158.616989 \nL 185.127595 156.058492 \nL 189.357449 153.119748 \nL 193.781298 149.776513 \nL 198.345634 146.014554 \nL 202.974955 141.835178 \nL 207.568592 137.261836 \nL 211.998753 132.347314 \nL 216.110827 127.180534 \nL 219.727038 121.891454 \nL 222.654618 116.651987 \nL 224.699123 111.670627 \nL 225.68266 107.178976 \nL 225.46526 103.409727 \nL 223.966201 100.568145 \nL 221.180662 98.801936 \nL 217.187154 98.176385 \nL 212.142732 98.661937 \nL 206.265986 100.138429 \nL 199.811184 102.41548 \nL 193.039409 105.263605 \nL 186.192743 108.447917 \nL 173.04657 115.01953 \nL 147.702398 127.907168 \nL 137.98896 132.805506 \nL 133.262751 135.369174 \nL 129.569244 137.625141 \nL 126.630576 139.712542 \nL 124.212255 141.709785 \nL 121.148885 144.603841 \nL 117.372732 148.256916 \nL 115.376524 149.947069 \nL 113.199948 151.502561 \nL 110.779263 152.881309 \nL 108.06314 154.031949 \nL 105.013982 154.891093 \nL 103.357455 155.187531 \nL 101.611977 155.380421 \nL 99.779035 155.457287 \nL 97.862311 155.404575 \nL 95.868095 155.207755 \nL 93.80572 154.85152 \nL 91.688035 154.320128 \nL 89.531845 153.597888 \nL 87.358329 152.669833 \nL 85.193326 151.522613 \nL 83.067477 150.145577 \nL 81.016117 148.532076 \nL 79.078835 146.680908 \nL 77.298633 144.597818 \nL 75.720652 142.296942 \nL 74.390405 139.801976 \nL 73.351595 137.146901 \nL 72.643624 134.376025 \nL 72.298962 131.543165 \nL 72.340659 128.709872 \nL 72.780272 125.942717 \nL 73.616483 123.309798 \nL 74.834638 120.876824 \nL 76.407303 118.703139 \nL 78.2958 116.838187 \nL 80.452571 115.318851 \nL 82.824049 114.16788 \nL 85.353749 113.393614 \nL 87.985231 112.99082 \nL 90.664665 112.942492 \nL 93.342843 113.222288 \nL 95.976544 113.797229 \nL 98.529302 114.630374 \nL 100.971599 115.683213 \nL 103.280662 116.917662 \nL 105.439935 118.29756 \nL 107.438375 119.78971 \nL 109.269646 121.364467 \nL 110.931305 122.996015 \nL 112.424011 124.662337 \nL 113.750807 126.345043 \nL 114.916486 128.029041 \nL 115.927034 129.702181 \nL 116.789171 131.354856 \nL 118.096559 134.57083 \nL 118.894411 137.637035 \nL 119.232757 140.53269 \nL 119.151931 143.248489 \nL 118.680723 145.780919 \nL 117.835909 148.127946 \nL 116.622727 150.285608 \nL 115.036029 152.245023 \nL 113.062107 153.989454 \nL 111.923941 154.772897 \nL 110.681339 155.491125 \nL 109.331556 156.138345 \nL 107.872058 156.707606 \nL 106.300751 157.190661 \nL 104.616266 157.577848 \nL 102.818292 157.857976 \nL 100.907977 158.018238 \nL 98.888388 158.044179 \nL 96.765044 157.919726 \nL 94.54651 157.627321 \nL 92.245041 157.148197 \nL 89.87724 156.462825 \nL 87.464721 155.551595 \nL 85.034679 154.395765 \nL 82.620317 152.978708 \nL 80.261018 151.287485 \nL 78.002139 149.314683 \nL 75.894322 147.060469 \nL 73.992202 144.534697 \nL 72.352445 141.75885 \nL 71.031127 138.767507 \nL 70.080519 135.609035 \nL 69.545559 132.345149 \nL 69.460279 129.049124 \nL 69.844677 125.802605 \nL 70.702417 122.691121 \nL 72.019756 119.798764 \nL 73.765951 117.202621 \nL 75.89509 114.9676 \nL 78.349187 113.142453 \nL 81.062099 111.757336 \nL 83.963771 110.823259 \nL 86.984328 110.333185 \nL 90.05757 110.264608 \nL 93.123651 110.582946 \nL 96.130826 111.245383 \nL 99.036304 112.204518 \nL 101.806371 113.411659 \nL 104.415918 114.819389 \nL 106.847625 116.383475 \nL 109.090915 118.06407 \nL 111.140837 119.826314 \nL 112.996966 121.640503 \nL 114.662389 123.481916 \nL 116.142802 125.330434 \nL 117.445724 127.170047 \nL 118.57985 128.988286 \nL 119.554519 130.775705 \nL 121.063571 134.232274 \nL 122.046366 137.506122 \nL 122.567731 140.584551 \nL 122.679976 143.467073 \nL 122.421297 146.159342 \nL 121.815555 148.668977 \nL 120.872815 151.002498 \nL 119.590295 153.162905 \nL 117.953573 155.147386 \nL 115.938103 156.944797 \nL 113.511268 158.532596 \nL 112.131911 159.236781 \nL 110.635441 159.872911 \nL 109.017156 160.433055 \nL 107.272781 160.907658 \nL 105.398791 161.28535 \nL 103.392816 161.552754 \nL 101.254116 161.694319 \nL 98.984178 161.692197 \nL 96.587397 161.526189 \nL 94.071881 161.173833 \nL 91.450336 160.61064 \nL 88.741031 159.810598 \nL 85.968772 158.746974 \nL 83.165816 157.393535 \nL 80.372605 155.726212 \nL 77.638172 153.72528 \nL 75.020018 151.378025 \nL 72.583273 148.681779 \nL 70.398949 145.647132 \nL 68.541125 142.300922 \nL 67.083088 138.688544 \nL 66.092572 134.875012 \nL 65.626451 130.944205 \nL 65.725519 126.99591 \nL 66.410028 123.1406 \nL 67.676745 119.492274 \nL 69.498117 116.160144 \nL 71.823776 113.240326 \nL 74.584248 110.808663 \nL 77.696335 108.915859 \nL 81.069356 107.585353 \nL 84.611395 106.814176 \nL 88.234785 106.576249 \nL 91.860317 106.827333 \nL 95.419994 107.510776 \nL 98.858342 108.563178 \nL 102.132548 109.919337 \nL 105.211689 111.516208 \nL 108.075436 113.295637 \nL 110.712455 115.206038 \nL 113.118756 117.203136 \nL 115.296112 119.250042 \nL 117.250636 121.316838 \nL 118.991558 123.379884 \nL 120.530196 125.421003 \nL 121.879131 127.426635 \nL 123.051541 129.387016 \nL 124.919572 133.147721 \nL 126.235248 136.675714 \nL 127.087527 139.967495 \nL 127.549648 143.032837 \nL 127.678043 145.888016 \nL 127.512734 148.551625 \nL 127.078401 151.042019 \nL 126.385648 153.375714 \nL 125.432164 155.566272 \nL 124.20366 157.62331 \nL 122.674542 159.55133 \nL 120.808438 161.348135 \nL 118.558766 163.002447 \nL 115.869757 164.490423 \nL 112.67852 165.770644 \nL 110.873923 166.313433 \nL 108.919204 166.777176 \nL 106.806938 167.148312 \nL 104.530786 167.410515 \nL 102.086104 167.544334 \nL 99.470699 167.526857 \nL 96.685783 167.331453 \nL 93.73712 166.927627 \nL 90.636372 166.281108 \nL 87.40264 165.354252 \nL 84.06413 164.106951 \nL 80.659827 162.498139 \nL 77.24103 160.488139 \nL 73.87246 158.041935 \nL 70.632596 155.133445 \nL 67.61286 151.75068 \nL 64.915155 147.901468 \nL 62.64752 143.619043 \nL 60.917693 138.966628 \nL 59.824895 134.03972 \nL 59.450539 128.964918 \nL 59.849124 123.894455 \nL 61.040798 118.996252 \nL 63.007152 114.44042 \nL 65.691273 110.38405 \nL 69.002332 106.956817 \nL 72.823944 104.25001 \nL 77.024865 102.31063 \nL 81.470153 101.141379 \nL 86.031096 100.705749 \nL 90.592753 100.936724 \nL 95.05862 101.747125 \nL 99.352562 103.03981 \nL 103.418523 104.716385 \nL 107.218751 106.683776 \nL 110.731172 108.85851 \nL 113.946487 111.168923 \nL 116.865334 113.555791 \nL 119.495744 115.97182 \nL 121.85098 118.380465 \nL 123.947784 120.754431 \nL 125.804985 123.074104 \nL 127.442435 125.326035 \nL 130.138061 129.595964 \nL 132.188773 133.534482 \nL 133.732957 137.145603 \nL 134.888717 140.45013 \nL 135.753321 143.475713 \nL 136.670413 147.554225 \nL 137.471639 152.271 \nL 138.779767 160.611086 \nL 139.506014 163.520704 \nL 140.222397 165.418728 \nL 140.816724 166.549388 \nL 141.531234 167.568676 \nL 142.393993 168.470019 \nL 143.438964 169.242921 \nL 144.707411 169.871829 \nL 146.249478 170.334512 \nL 148.125893 170.599804 \nL 150.409671 170.624499 \nL 153.18751 170.349178 \nL 156.560282 169.69276 \nL 160.641464 168.545788 \nL 165.551502 166.763017 \nL 168.353882 165.576412 \nL 171.40466 164.157174 \nL 174.712919 162.475203 \nL 178.283082 160.498405 \nL 182.112873 158.193698 \nL 186.190792 155.528659 \nL 190.493094 152.473998 \nL 194.980313 149.007062 \nL 199.593538 145.116536 \nL 204.25075 140.808333 \nL 208.843808 136.112517 \nL 213.236913 131.090627 \nL 217.267602 125.842318 \nL 220.751475 120.509558 \nL 223.491736 115.27624 \nL 225.294005 110.360842 \nL 225.985876 106.000506 \nL 225.43901 102.426696 \nL 223.590049 99.835172 \nL 220.455598 98.355947 \nL 216.136771 98.030613 \nL 210.810955 98.803874 \nL 204.711663 100.532399 \nL 198.100811 103.009203 \nL 191.239632 105.996885 \nL 184.364111 109.261226 \nL 171.299369 115.847545 \nL 150.46048 126.454005 \nL 137.040308 133.188264 \nL 132.454266 135.689301 \nL 128.864354 137.903531 \nL 125.996672 139.962062 \nL 123.621425 141.936739 \nL 120.580033 144.798802 \nL 116.77276 148.397987 \nL 114.74164 150.052075 \nL 112.52057 151.563104 \nL 110.048389 152.886977 \nL 107.27687 153.969922 \nL 104.172527 154.745819 \nL 102.490175 154.993901 \nL 100.721195 155.133491 \nL 98.868105 155.151829 \nL 96.935785 155.035164 \nL 94.931874 154.768909 \nL 92.867218 154.337884 \nL 90.75631 153.726731 \nL 88.617706 152.920471 \nL 86.474369 151.905259 \nL 84.353878 150.669332 \nL 82.288448 149.204179 \nL 80.314676 147.505853 \nL 78.472934 145.576415 \nL 76.806344 143.425354 \nL 75.359323 141.070882 \nL 74.175679 138.540862 \nL 73.29635 135.873224 \nL 72.756902 133.115625 \nL 72.585037 130.324225 \nL 72.798337 127.56157 \nL 73.402551 124.89359 \nL 74.390627 122.386009 \nL 75.742708 120.100523 \nL 77.427092 118.091092 \nL 79.402073 116.400867 \nL 81.618467 115.060052 \nL 84.02251 114.084929 \nL 86.558817 113.478039 \nL 89.173098 113.229418 \nL 91.814441 113.318607 \nL 94.436997 113.717131 \nL 97.001077 114.391126 \nL 99.473655 115.303801 \nL 101.828415 116.417642 \nL 104.045412 117.696131 \nL 106.110492 119.105025 \nL 108.014572 120.613188 \nL 109.752854 122.193048 \nL 111.324038 123.820736 \nL 112.729589 125.476025 \nL 113.973056 127.142082 \nL 115.059499 128.805165 \nL 115.994973 130.454237 \nL 117.439786 133.677546 \nL 118.361796 136.764133 \nL 118.811589 139.68764 \nL 118.831302 142.435095 \nL 118.452223 145.000741 \nL 117.693961 147.381399 \nL 116.564678 149.572819 \nL 115.062089 151.566567 \nL 113.175145 153.347067 \nL 112.082283 154.149769 \nL 110.88653 154.888478 \nL 109.585339 155.557792 \nL 108.176314 156.151203 \nL 106.657428 156.660996 \nL 105.027287 157.078103 \nL 103.285439 157.392002 \nL 101.432747 157.590647 \nL 99.471821 157.660396 \nL 97.407514 157.586051 \nL 95.24748 157.350941 \nL 93.00278 156.937172 \nL 90.688521 156.325999 \nL 88.324479 155.498433 \nL 85.935689 154.436081 \nL 83.552885 153.122261 \nL 81.212733 151.543432 \nL 78.95775 149.690886 \nL 76.835773 147.562669 \nL 74.898888 145.165588 \nL 73.201745 142.517141 \nL 71.799202 139.647071 \nL 70.743433 136.598273 \nL 70.080593 133.426719 \nL 69.847388 130.200166 \nL 70.067888 126.995515 \nL 70.751046 123.894897 \nL 71.889247 120.980801 \nL 73.458206 118.330763 \nL 75.418267 116.012217 \nL 77.716975 114.078264 \nL 80.292585 112.564769 \nL 83.078077 111.489183 \nL 86.005155 110.851049 \nL 89.007856 110.633979 \nL 92.025428 110.808655 \nL 95.004346 111.33637 \nL 97.899476 112.17265 \nL 100.674446 113.270546 \nL 103.301418 114.583404 \nL 105.760425 116.066913 \nL 108.038446 117.680564 \nL 110.128355 119.388429 \nL 112.027856 121.15951 \nL 113.738462 122.967694 \nL 115.264581 124.791478 \nL 116.612713 126.613519 \nL 117.790764 128.420142 \nL 118.80748 130.200811 \nL 120.393463 133.654803 \nL 121.442333 136.935772 \nL 122.018606 140.026647 \nL 122.175203 142.923901 \nL 121.951464 145.631104 \nL 121.372658 148.154421 \nL 120.450383 150.499335 \nL 119.183458 152.668057 \nL 117.559136 154.657121 \nL 115.554673 156.454797 \nL 113.139483 158.038005 \nL 111.76691 158.73794 \nL 110.278307 159.368457 \nL 108.66934 159.921615 \nL 106.936143 160.387868 \nL 105.075637 160.755906 \nL 103.085932 161.012464 \nL 100.966805 161.14217 \nL 98.720282 161.127459 \nL 96.351313 160.948544 \nL 93.868545 160.58351 \nL 91.28518 160.008596 \nL 88.619896 159.198722 \nL 85.897757 158.128311 \nL 83.151065 156.772505 \nL 80.420006 155.108827 \nL 77.752967 153.119295 \nL 75.206338 150.793004 \nL 72.843608 148.129026 \nL 70.73358 145.139417 \nL 68.947595 141.851983 \nL 67.555792 138.312344 \nL 66.622526 134.584768 \nL 66.201354 130.751258 \nL 66.330128 126.908595 \nL 67.026882 123.163224 \nL 68.287171 119.624446 \nL 70.083408 116.396528 \nL 72.36638 113.57092 \nL 75.068834 111.219605 \nL 78.110586 109.390549 \nL 81.40441 108.105835 \nL 84.86193 107.362489 \nL 88.39879 107.135583 \nL 91.938636 107.382916 \nL 95.41575 108.050414 \nL 98.776312 109.077443 \nL 101.97857 110.401526 \nL 104.992154 111.962071 \nL 107.79687 113.703021 \nL 110.381207 115.574459 \nL 112.740774 117.53338 \nL 114.8768 119.543795 \nL 116.79477 121.576378 \nL 118.503245 123.607836 \nL 120.012874 125.620141 \nL 121.335579 127.59974 \nL 122.483915 129.536786 \nL 124.307946 133.258245 \nL 125.581722 136.755543 \nL 126.390615 140.023439 \nL 126.804798 143.070041 \nL 126.878011 145.91006 \nL 126.647825 148.560628 \nL 126.136572 151.038619 \nL 125.352518 153.358948 \nL 124.29096 155.53327 \nL 122.935154 157.568778 \nL 121.257062 159.466727 \nL 119.218078 161.220469 \nL 116.769983 162.812569 \nL 113.856655 164.210689 \nL 112.206572 164.821459 \nL 110.41729 165.361868 \nL 108.481453 165.820824 \nL 106.392391 166.184888 \nL 104.14459 166.437957 \nL 101.734289 166.560941 \nL 99.16023 166.531474 \nL 96.424577 166.323699 \nL 93.534017 165.908198 \nL 90.501045 165.252124 \nL 87.345402 164.31968 \nL 84.095615 163.073048 \nL 80.790529 161.473935 \nL 77.48064 159.485846 \nL 74.22902 157.077262 \nL 71.111474 154.225663 \nL 68.215565 150.922352 \nL 65.638168 147.177672 \nL 63.481227 143.026058 \nL 61.845685 138.529984 \nL 60.823825 133.781772 \nL 60.490756 128.902204 \nL 60.896141 124.035218 \nL 62.057531 119.338606 \nL 63.956665 114.971615 \nL 66.53964 111.08107 \nL 69.721127 107.78835 \nL 73.392013 105.179369 \nL 77.42915 103.299222 \nL 81.705537 102.152013 \nL 86.099479 101.70537 \nL 90.501631 101.898221 \nL 94.819459 102.650183 \nL 98.97922 103.87088 \nL 102.925901 105.468035 \nL 106.621724 107.353684 \nL 110.043844 109.448277 \nL 113.181702 111.682972 \nL 116.034409 114.00035 \nL 118.608363 116.354132 \nL 120.915195 118.708167 \nL 122.970085 121.035124 \nL 124.790404 123.315065 \nL 126.394674 125.534055 \nL 129.030345 129.756152 \nL 131.022965 133.667044 \nL 132.504256 137.266691 \nL 133.586797 140.572769 \nL 134.363034 143.610746 \nL 135.109308 147.725429 \nL 135.508699 151.387774 \nL 135.695452 155.697652 \nL 135.619121 159.481753 \nL 135.336866 162.847904 \nL 134.842053 165.879327 \nL 134.298463 167.974977 \nL 133.559854 169.947509 \nL 132.56208 171.822097 \nL 131.709637 173.029379 \nL 130.667661 174.210479 \nL 129.392922 175.370954 \nL 127.832095 176.514353 \nL 125.919721 177.640524 \nL 123.575999 178.742789 \nL 120.704703 179.803346 \nL 117.191839 180.785916 \nL 112.906301 181.624272 \nL 110.429223 181.956357 \nL 107.704936 182.204848 \nL 104.715904 182.344032 \nL 101.446359 182.34163 \nL 97.883765 182.15758 \nL 94.020797 181.742811 \nL 89.857942 181.038142 \nL 85.406848 179.973546 \nL 80.694414 178.468163 \nL 75.767628 176.431551 \nL 70.698816 173.766892 \nL 65.590828 170.376946 \nL 60.581148 166.173524 \nL 55.843511 161.090969 \nL 51.585179 155.103391 \nL 48.037921 148.244027 \nL 45.441324 140.623399 \nL 44.018491 132.441107 \nL 43.946679 123.985329 \nL 45.328153 115.615262 \nL 48.168376 107.725689 \nL 52.368364 100.698719 \nL 57.73454 94.853044 \nL 64.004528 90.403343 \nL 70.882262 87.439585 \nL 78.073739 85.929671 \nL 85.315825 85.741612 \nL 92.394052 86.676792 \nL 99.149154 88.50513 \nL 105.474803 90.995 \nL 111.310083 93.934398 \nL 116.629804 97.142927 \nL 121.434924 100.476132 \nL 125.744304 103.824449 \nL 129.588169 107.109118 \nL 133.003279 110.276754 \nL 136.029523 113.293779 \nL 141.077551 118.811337 \nL 145.044344 123.618727 \nL 149.566694 129.587808 \nL 154.077147 135.568131 \nL 156.056742 137.838434 \nL 158.018543 139.680753 \nL 160.056954 141.116066 \nL 162.247406 142.15172 \nL 163.418707 142.51851 \nL 164.648956 142.78255 \nL 165.943108 142.941501 \nL 167.305083 142.992479 \nL 168.737671 142.93216 \nL 171.81937 142.462911 \nL 175.181973 141.504008 \nL 178.788878 140.030768 \nL 182.564228 138.034107 \nL 186.383852 135.53462 \nL 188.256591 134.114933 \nL 190.069036 132.599124 \nL 191.790506 131.005348 \nL 193.387719 129.356269 \nL 194.825642 127.67902 \nL 196.0686 126.004837 \nL 197.081702 124.36831 \nL 197.832476 122.806235 \nL 198.292665 121.35608 \nL 198.440031 120.054126 \nL 198.259994 118.933438 \nL 197.746962 118.021862 \nL 196.905141 117.340228 \nL 195.748751 116.901037 \nL 194.301543 116.707759 \nL 192.595679 116.754878 \nL 190.670044 117.028634 \nL 188.568191 117.508416 \nL 186.336105 118.168591 \nL 181.664431 119.914593 \nL 176.995007 122.03576 \nL 172.59948 124.332422 \nL 168.664064 126.660328 \nL 165.293976 128.931738 \nL 162.529904 131.102812 \nL 160.367976 133.157077 \nL 158.777974 135.091075 \nL 157.717587 136.904448 \nL 157.142417 138.594299 \nL 157.012341 140.152575 \nL 157.295097 141.56529 \nL 157.967871 142.812522 \nL 159.017471 143.868609 \nL 160.439479 144.702252 \nL 162.236485 145.276443 \nL 164.415431 145.548378 \nL 166.983795 145.469657 \nL 169.944257 144.987282 \nL 173.287427 144.046231 \nL 176.982258 142.594619 \nL 180.964124 140.592625 \nL 185.121411 138.026236 \nL 187.214937 136.538593 \nL 189.282967 134.925927 \nL 191.293613 133.202529 \nL 193.210989 131.388053 \nL 194.995775 129.507875 \nL 196.606176 127.59312 \nL 197.999256 125.680332 \nL 199.13269 123.810564 \nL 199.966851 122.027978 \nL 200.46712 120.37785 \nL 200.606225 118.904151 \nL 200.366418 117.646845 \nL 199.741199 116.639207 \nL 198.736375 115.905461 \nL 197.370275 115.45903 \nL 195.67303 115.301735 \nL 193.684993 115.423977 \nL 191.454406 115.80594 \nL 189.034634 116.419612 \nL 186.481218 117.231363 \nL 181.190141 119.302837 \nL 175.973574 121.737991 \nL 171.130063 124.306967 \nL 166.85024 126.85645 \nL 163.228662 129.304002 \nL 160.287864 131.617773 \nL 158.003944 133.794269 \nL 156.328111 135.841057 \nL 155.20247 137.765959 \nL 154.570458 139.571716 \nL 154.383057 141.254098 \nL 154.602032 142.801847 \nL 155.201172 144.197238 \nL 156.166253 145.416602 \nL 157.494163 146.430504 \nL 159.191383 147.203489 \nL 161.271799 147.693557 \nL 163.753641 147.851524 \nL 166.655113 147.620787 \nL 169.988148 146.938105 \nL 173.749569 145.736384 \nL 177.909033 143.950984 \nL 180.117384 142.822568 \nL 182.393607 141.531214 \nL 184.718997 140.075775 \nL 187.069968 138.458672 \nL 189.41763 136.68685 \nL 191.727542 134.772733 \nL 193.959754 132.735146 \nL 196.069197 130.600059 \nL 198.006556 128.401023 \nL 199.719666 126.179104 \nL 201.155514 123.982217 \nL 202.262764 121.863644 \nL 202.99474 119.879767 \nL 203.31263 118.087023 \nL 203.188611 116.538295 \nL 202.608546 115.279095 \nL 201.573862 114.344003 \nL 200.102311 113.753865 \nL 198.22741 113.514162 \nL 195.996578 113.61491 \nL 193.468176 114.032002 \nL 190.707762 114.72993 \nL 187.784077 115.665339 \nL 184.765174 116.790936 \nL 178.691275 119.425667 \nL 172.910559 122.302049 \nL 167.709361 125.185762 \nL 163.240207 127.947091 \nL 159.550822 130.536835 \nL 156.619369 132.953642 \nL 154.385315 135.216679 \nL 152.772227 137.347987 \nL 151.702759 139.363638 \nL 151.1075 141.270678 \nL 150.92957 143.067249 \nL 151.126493 144.743858 \nL 151.670443 146.284765 \nL 152.547627 147.668863 \nL 153.757199 148.869947 \nL 155.30993 149.856297 \nL 157.226612 150.589717 \nL 159.535997 151.024196 \nL 162.271907 151.104417 \nL 165.468871 150.764561 \nL 169.155443 149.928242 \nL 171.187222 149.297602 \nL 173.344096 148.510676 \nL 175.622706 147.556615 \nL 178.016569 146.425219 \nL 180.515315 145.107563 \nL 183.103882 143.596802 \nL 185.761676 141.889193 \nL 188.461743 139.985266 \nL 191.170071 137.891187 \nL 193.845094 135.620201 \nL 196.43755 133.194068 \nL 198.890845 130.644284 \nL 201.142103 128.012912 \nL 203.124008 125.352729 \nL 204.767565 122.726367 \nL 206.005711 120.204291 \nL 206.777659 117.861446 \nL 207.033606 115.772648 \nL 206.739325 114.007098 \nL 205.880035 112.622588 \nL 204.462914 111.660221 \nL 202.517772 111.140501 \nL 200.095644 111.061536 \nL 197.26537 111.399674 \nL 194.108646 112.112543 \nL 190.714169 113.143969 \nL 187.171732 114.429889 \nL 183.566909 115.904323 \nL 176.46778 119.17525 \nL 169.893771 122.55454 \nL 164.126232 125.798035 \nL 159.279091 128.802876 \nL 155.349298 131.558928 \nL 152.265534 134.100779 \nL 149.925192 136.474349 \nL 148.218652 138.719182 \nL 147.043418 140.861922 \nL 146.311308 142.916067 \nL 145.951302 144.884415 \nL 145.909893 146.762012 \nL 146.150179 148.538641 \nL 146.650464 150.200457 \nL 147.402795 151.730744 \nL 148.411697 153.109901 \nL 149.693171 154.314752 \nL 151.273929 155.317299 \nL 153.190762 156.082934 \nL 155.489743 156.568178 \nL 158.224907 156.718021 \nL 161.455714 156.463059 \nL 165.24232 155.716931 \nL 167.361079 155.127695 \nL 169.637194 154.375088 \nL 172.073734 153.443535 \nL 174.671123 152.316926 \nL 177.426235 150.97912 \nL 180.331325 149.41468 \nL 183.372805 147.609906 \nL 186.529881 145.554191 \nL 189.773127 143.241738 \nL 193.063089 140.673666 \nL 196.349096 137.860404 \nL 199.568464 134.824281 \nL 202.646411 131.602012 \nL 205.496999 128.246753 \nL 208.025406 124.829175 \nL 210.13181 121.436957 \nL 211.716964 118.172199 \nL 212.689288 115.146239 \nL 212.972903 112.471986 \nL 212.515711 110.254225 \nL 211.29631 108.579141 \nL 209.328399 107.504637 \nL 206.661712 107.053492 \nL 203.378913 107.210713 \nL 199.588841 107.925887 \nL 195.417104 109.120102 \nL 190.995583 110.696053 \nL 186.452478 112.549304 \nL 181.904219 114.578714 \nL 173.168808 118.823382 \nL 165.341507 122.918167 \nL 158.678446 126.623478 \nL 153.21808 129.899344 \nL 148.869659 132.809753 \nL 145.481854 135.450268 \nL 142.88657 137.908315 \nL 140.923129 140.248231 \nL 139.449637 142.510163 \nL 138.346756 144.714931 \nL 137.517366 146.87016 \nL 136.621701 150.008782 \nL 135.794214 153.99524 \nL 134.390845 161.189009 \nL 133.71896 163.618212 \nL 132.863617 165.916611 \nL 131.745991 168.100597 \nL 130.807015 169.501842 \nL 129.670735 170.865063 \nL 128.292381 172.193892 \nL 126.617606 173.489437 \nL 124.580594 174.748231 \nL 122.102194 175.959001 \nL 119.088434 177.097572 \nL 115.430194 178.11897 \nL 111.005455 178.94548 \nL 108.465666 179.248254 \nL 105.686806 179.449201 \nL 102.654906 179.520551 \nL 99.358665 179.428053 \nL 95.791041 179.129987 \nL 91.951356 178.576257 \nL 87.84795 177.707756 \nL 83.501469 176.456274 \nL 78.948717 174.745312 \nL 74.246939 172.492334 \nL 69.478124 169.613021 \nL 64.752735 166.028158 \nL 60.211785 161.673626 \nL 56.025976 156.513467 \nL 52.390379 150.555207 \nL 49.51332 143.865374 \nL 47.599046 136.581793 \nL 46.825204 128.918212 \nL 47.31825 121.156977 \nL 49.131749 113.627528 \nL 52.233091 106.672031 \nL 56.503065 100.604165 \nL 61.749262 95.670025 \nL 67.730507 92.020397 \nL 74.186423 89.700352 \nL 80.865483 88.656758 \nL 87.546422 88.759484 \nL 94.050664 89.8294 \nL 100.246191 91.666367 \nL 106.044939 94.072317 \nL 111.396407 96.867265 \nL 116.279796 99.898147 \nL 120.696305 103.041871 \nL 124.662443 106.204291 \nL 128.204676 109.316845 \nL 131.355398 112.332198 \nL 134.150014 115.219739 \nL 138.816114 120.548734 \nL 142.484583 125.254351 \nL 146.663927 131.203174 \nL 151.744944 138.59335 \nL 153.552617 140.800219 \nL 155.398004 142.623235 \nL 157.36625 144.074278 \nL 159.529041 145.152273 \nL 160.702723 145.547552 \nL 161.946951 145.843423 \nL 163.267662 146.036259 \nL 164.670063 146.121727 \nL 166.158527 146.09485 \nL 167.736443 145.950086 \nL 169.406016 145.681447 \nL 171.168017 145.28266 \nL 173.021491 144.747375 \nL 174.963384 144.069448 \nL 176.988148 143.243296 \nL 179.087282 142.264358 \nL 181.248861 141.129629 \nL 183.457057 139.838316 \nL 185.69169 138.392578 \nL 187.927863 136.798327 \nL 190.135734 135.066082 \nL 192.280501 133.211762 \nL 194.322688 131.257382 \nL 196.218798 129.231498 \nL 197.922407 127.169282 \nL 199.385752 125.112114 \nL 200.561786 123.106541 \nL 201.406648 121.202545 \nL 201.882375 119.45119 \nL 201.959673 117.901671 \nL 201.620423 116.598115 \nL 200.85962 115.576389 \nL 199.686481 114.861391 \nL 198.1245 114.465178 \nL 196.210365 114.386223 \nL 193.991874 114.609952 \nL 191.525016 115.110464 \nL 188.870609 115.853206 \nL 186.090859 116.798151 \nL 180.392559 119.126758 \nL 174.849615 121.782398 \nL 169.766887 124.523331 \nL 165.326474 127.199459 \nL 161.606814 129.739283 \nL 158.612445 132.123464 \nL 156.302967 134.359157 \nL 154.616032 136.461612 \nL 153.483409 138.443646 \nL 152.841081 140.311034 \nL 152.634963 142.061449 \nL 152.823619 143.685038 \nL 153.379112 145.165405 \nL 154.286727 146.48036 \nL 155.544017 147.602175 \nL 157.159403 148.497267 \nL 159.15031 149.12543 \nL 161.540635 149.438813 \nL 164.357159 149.380963 \nL 167.624259 148.886508 \nL 171.356132 147.88236 \nL 175.545601 146.29184 \nL 177.800153 145.253813 \nL 180.148748 144.043638 \nL 182.576952 142.655884 \nL 185.065449 141.087963 \nL 187.589368 139.341136 \nL 190.117721 137.42165 \nL 192.613023 135.341927 \nL 195.031237 133.121723 \nL 197.322114 130.789117 \nL 199.430117 128.38115 \nL 201.295993 125.943905 \nL 202.859058 123.53179 \nL 204.060207 121.205896 \nL 204.845485 119.031286 \nL 205.169987 117.073297 \nL 205.001679 115.393107 \nL 204.32471 114.043012 \nL 203.141678 113.062004 \nL 201.474497 112.472367 \nL 199.363581 112.277778 \nL 196.865415 112.463379 \nL 194.048749 112.997741 \nL 190.989936 113.836444 \nL 187.767998 114.926685 \nL 184.460015 116.212175 \nL 177.862534 119.152572 \nL 171.656362 122.285063 \nL 166.134218 125.362867 \nL 161.436503 128.263327 \nL 157.590217 130.952897 \nL 154.551234 133.446564 \nL 152.238888 135.77668 \nL 150.560157 137.974545 \nL 149.424688 140.062204 \nL 148.753139 142.050558 \nL 148.48108 143.940534 \nL 148.560222 145.725191 \nL 148.958166 147.391673 \nL 149.657446 148.922482 \nL 150.654326 150.295994 \nL 151.957582 151.486183 \nL 153.587313 152.46174 \nL 155.573692 153.184571 \nL 157.955372 153.607916 \nL 160.777138 153.674207 \nL 164.086055 153.313088 \nL 167.92515 152.440286 \nL 170.053459 151.782044 \nL 172.323247 150.95866 \nL 174.733338 149.956859 \nL 177.279349 148.763632 \nL 179.952809 147.36688 \nL 182.740172 145.756299 \nL 185.621752 143.924503 \nL 188.570638 141.86841 \nL 191.551663 139.590895 \nL 194.520565 137.102636 \nL 197.423506 134.424037 \nL 200.197146 131.587047 \nL 202.769505 128.636574 \nL 205.061842 125.631163 \nL 206.991706 122.642521 \nL 208.477201 119.753481 \nL 209.442356 117.054182 \nL 209.823176 114.636453 \nL 209.57376 112.586764 \nL 208.67167 110.978476 \nL 207.121639 109.864565 \nL 204.956843 109.272036 \nL 202.237363 109.199121 \nL 199.045867 109.615928 \nL 195.481119 110.468489 \nL 191.650286 111.685349 \nL 187.661179 113.185662 \nL 183.615415 114.887191 \nL 175.700277 118.597177 \nL 168.444792 122.339941 \nL 162.145066 125.849062 \nL 156.898803 129.033448 \nL 152.672839 131.90867 \nL 149.363123 134.535374 \nL 146.837255 136.979986 \nL 144.960563 139.296043 \nL 143.610144 141.519025 \nL 142.681159 143.668003 \nL 142.088565 145.749736 \nL 141.766396 147.762938 \nL 141.665896 149.701682 \nL 141.753305 151.557705 \nL 142.007732 153.321759 \nL 142.419355 154.984183 \nL 142.988052 156.534885 \nL 143.722485 157.962897 \nL 144.639638 159.255628 \nL 145.764751 160.397762 \nL 147.131598 161.369884 \nL 148.783023 162.146681 \nL 150.771577 162.694652 \nL 153.160028 162.969236 \nL 156.021328 162.911231 \nL 159.437322 162.442557 \nL 163.495036 161.461721 \nL 165.7913 160.74013 \nL 168.278625 159.839964 \nL 170.964602 158.74071 \nL 173.854178 157.420399 \nL 176.948502 155.856091 \nL 180.243518 154.024654 \nL 183.728261 151.90398 \nL 187.382868 149.474678 \nL 191.176375 146.722391 \nL 195.064387 143.64078 \nL 198.986871 140.235159 \nL 202.866354 136.526658 \nL 206.607009 132.556585 \nL 210.09519 128.390402 \nL 213.202046 124.120436 \nL 215.788774 119.866245 \nL 217.714876 115.77143 \nL 218.849236 111.99597 \nL 219.083175 108.703801 \nL 218.343849 106.046457 \nL 216.605661 104.145056 \nL 213.897207 103.073957 \nL 210.301743 102.849785 \nL 205.950501 103.428869 \nL 201.009721 104.713934 \nL 195.663862 106.568763 \nL 190.098183 108.837289 \nL 184.483719 111.362941 \nL 173.662379 116.646718 \nL 159.72412 123.870635 \nL 149.207554 129.577814 \nL 143.95123 132.664212 \nL 139.845708 135.367196 \nL 136.654066 137.830199 \nL 134.156671 140.154366 \nL 132.162631 142.400826 \nL 130.511764 144.600281 \nL 128.396454 147.830867 \nL 125.72637 151.986032 \nL 124.277172 153.974451 \nL 122.662251 155.885279 \nL 120.819336 157.701824 \nL 118.686819 159.402881 \nL 116.202197 160.959709 \nL 113.301904 162.331781 \nL 109.923149 163.461131 \nL 108.036043 163.910171 \nL 106.008746 164.265205 \nL 103.836505 164.510703 \nL 101.516411 164.628536 \nL 99.04807 164.597764 \nL 96.434416 164.394484 \nL 93.682682 163.991828 \nL 90.805513 163.360154 \nL 87.82219 162.467557 \nL 84.759918 161.280763 \nL 81.655076 159.766552 \nL 78.554273 157.89382 \nL 75.514997 155.636324 \nL 72.605617 152.976155 \nL 69.904418 149.907782 \nL 67.497381 146.442362 \nL 65.47454 142.61185 \nL 63.924834 138.472165 \nL 62.929706 134.104587 \nL 62.556023 129.614559 \nL 62.849168 125.127377 \nL 63.82738 120.780663 \nL 65.478429 116.714256 \nL 67.75934 113.058841 \nL 70.599415 109.924976 \nL 73.906144 107.394349 \nL 77.573022 105.514552 \nL 81.488068 104.298038 \nL 85.541728 103.724948 \nL 89.633336 103.74893 \nL 93.67552 104.304634 \nL 97.59657 105.315517 \nL 101.341009 106.700969 \nL 104.868793 108.382074 \nL 108.153655 110.285688 \nL 111.181005 112.346993 \nL 113.945728 114.510645 \nL 116.450066 116.730929 \nL 118.70175 118.971213 \nL 120.712394 121.202999 \nL 122.496188 123.404788 \nL 124.068847 125.560911 \nL 125.446796 127.660438 \nL 127.684272 131.663966 \nL 129.334485 135.389136 \nL 130.509231 138.837345 \nL 131.302341 142.024551 \nL 131.788978 144.973371 \nL 132.026652 147.708498 \nL 132.057025 150.254216 \nL 131.907926 152.633126 \nL 131.595204 154.865609 \nL 131.124259 156.969649 \nL 130.491146 158.960839 \nL 129.683225 160.8524 \nL 128.679385 162.655106 \nL 127.449861 164.376948 \nL 125.955708 166.022435 \nL 124.148031 167.591305 \nL 121.967131 169.076351 \nL 119.341853 170.459999 \nL 116.189685 171.709012 \nL 112.418536 172.766655 \nL 110.270584 173.196874 \nL 107.931795 173.54146 \nL 105.391184 173.781059 \nL 102.639365 173.892036 \nL 99.669523 173.845843 \nL 96.478672 173.608409 \nL 93.06925 173.139666 \nL 89.451079 172.393298 \nL 85.643713 171.316947 \nL 81.679083 169.853068 \nL 77.604368 167.940789 \nL 73.484768 165.519093 \nL 69.405801 162.531651 \nL 65.474463 158.933553 \nL 61.818514 154.699846 \nL 58.582977 149.835375 \nL 55.923141 144.384758 \nL 53.993744 138.440598 \nL 52.934814 132.147462 \nL 52.855695 125.699203 \nL 53.819873 119.3279 \nL 55.833725 113.284519 \nL 58.842176 107.813751 \nL 62.732697 103.127485 \nL 67.347293 99.382291 \nL 72.499961 96.665572 \nL 77.996 94.99257 \nL 83.649546 94.313724 \nL 89.296718 94.529389 \nL 94.803343 95.507985 \nL 100.067542 97.103782 \nL 105.0184 99.171699 \nL 109.612179 101.577881 \nL 113.827417 104.205941 \nL 117.659885 106.959589 \nL 121.118013 109.762549 \nL 124.21902 112.556837 \nL 126.985854 115.300202 \nL 129.444844 117.963254 \nL 131.623963 120.526745 \nL 135.255627 125.314691 \nL 138.098957 129.630956 \nL 140.350559 133.489923 \nL 142.981537 138.497428 \nL 145.779877 143.914326 \nL 147.1021 146.152132 \nL 148.479295 148.102769 \nL 149.978898 149.774808 \nL 151.663012 151.166975 \nL 153.591313 152.267392 \nL 155.823072 153.052529 \nL 157.071405 153.316006 \nL 158.418036 153.485874 \nL 159.870404 153.555293 \nL 161.435782 153.516434 \nL 163.121122 153.360453 \nL 164.932846 153.077488 \nL 166.87655 152.656707 \nL 168.95665 152.086383 \nL 171.175902 151.354078 \nL 173.534845 150.446903 \nL 176.03109 149.351921 \nL 178.658521 148.05673 \nL 181.40635 146.550217 \nL 184.258093 144.823607 \nL 187.190478 142.871711 \nL 190.172379 140.69449 \nL 193.16386 138.298834 \nL 196.115504 135.700473 \nL 198.968185 132.925914 \nL 201.653552 130.01409 \nL 204.095396 127.017456 \nL 206.212165 124.002107 \nL 207.92069 121.046502 \nL 209.141104 118.238502 \nL 209.80268 115.67051 \nL 209.850072 113.432993 \nL 209.249187 111.606847 \nL 207.991803 110.255714 \nL 206.098077 109.419377 \nL 203.616331 109.109527 \nL 200.619933 109.30879 \nL 197.201682 109.973259 \nL 193.466461 111.038116 \nL 189.523304 112.425271 \nL 185.477973 114.051636 \nL 177.453093 117.708448 \nL 169.990094 121.48663 \nL 163.439405 125.071368 \nL 157.938027 128.33733 \nL 153.476051 131.28255 \nL 149.96023 133.962538 \nL 147.260879 136.445378 \nL 145.241445 138.788854 \nL 143.7749 141.032907 \nL 142.751448 143.200208 \nL 142.081061 145.300074 \nL 141.693134 147.332815 \nL 141.53477 149.293422 \nL 141.568564 151.174151 \nL 141.77041 152.966089 \nL 142.127579 154.659888 \nL 142.637233 156.245903 \nL 143.305383 157.713861 \nL 144.146301 159.052181 \nL 145.182355 160.247024 \nL 146.444204 161.281029 \nL 147.971286 162.131689 \nL 149.812481 162.769278 \nL 152.026757 163.154226 \nL 154.683477 163.233806 \nL 157.861793 162.938111 \nL 161.648171 162.175503 \nL 166.130483 160.828187 \nL 168.657725 159.890568 \nL 171.386194 158.749577 \nL 174.320485 157.382802 \nL 177.461185 155.766919 \nL 180.803388 153.87855 \nL 184.334925 151.695537 \nL 188.034317 149.198763 \nL 191.868497 146.374591 \nL 195.790446 143.217995 \nL 199.736972 139.736361 \nL 203.626986 135.953788 \nL 207.360734 131.915503 \nL 210.820612 127.691805 \nL 213.874196 123.380536 \nL 216.38005 119.106987 \nL 218.196591 115.020003 \nL 219.193768 111.28338 \nL 219.26656 108.062471 \nL 218.348452 105.50703 \nL 216.422482 103.732884 \nL 213.527319 102.805863 \nL 209.756502 102.731966 \nL 205.250392 103.456336 \nL 200.182047 104.871742 \nL 194.739755 106.83464 \nL 189.109525 109.185023 \nL 183.460465 111.765779 \nL 172.643488 117.090271 \nL 158.821635 124.269959 \nL 148.457843 129.900884 \nL 143.293501 132.945231 \nL 139.263536 135.617409 \nL 136.129067 138.059275 \nL 133.670777 140.369094 \nL 131.699058 142.605204 \nL 130.055249 144.796108 \nL 127.251521 149.066458 \nL 125.191154 152.146887 \nL 123.692247 154.120096 \nL 122.015486 156.011551 \nL 120.0982 157.802984 \nL 117.878387 159.470932 \nL 115.29344 160.98346 \nL 112.280435 162.29561 \nL 110.594214 162.857503 \nL 108.778637 163.343465 \nL 106.827412 163.741338 \nL 104.735361 164.036801 \nL 102.498911 164.213113 \nL 100.116677 164.250877 \nL 97.590215 164.127882 \nL 94.924884 163.819023 \nL 92.130881 163.296427 \nL 89.224383 162.529809 \nL 86.228776 161.487174 \nL 83.175881 160.135995 \nL 80.107073 158.444929 \nL 77.074091 156.386212 \nL 74.139323 153.93871 \nL 71.37528 151.091621 \nL 68.863011 147.84856 \nL 66.689164 144.231668 \nL 64.941641 140.285128 \nL 63.703897 136.077354 \nL 63.048324 131.701 \nL 63.029384 127.270177 \nL 63.677501 122.914551 \nL 64.9947 118.770632 \nL 66.952927 114.971216 \nL 69.495493 111.634402 \nL 72.541525 108.854 \nL 75.992773 106.692741 \nL 79.741626 105.179356 \nL 83.679169 104.309512 \nL 87.702179 104.050178 \nL 91.71841 104.34616 \nL 95.649849 105.127632 \nL 99.434126 106.317412 \nL 103.024369 107.83724 \nL 106.387999 109.612562 \nL 109.504882 111.575729 \nL 112.365239 113.667802 \nL 114.967527 115.839172 \nL 117.316507 118.049363 \nL 119.421542 120.266314 \nL 121.295177 122.465358 \nL 122.951981 124.628101 \nL 124.407638 126.74134 \nL 126.77974 130.786455 \nL 128.536485 134.563577 \nL 129.79098 138.067447 \nL 130.639365 141.310169 \nL 131.159356 144.312302 \nL 131.410804 147.097566 \nL 131.437254 149.689909 \nL 131.267822 152.111937 \nL 130.919007 154.384152 \nL 130.396208 156.524659 \nL 129.694829 158.549033 \nL 128.800956 160.470231 \nL 127.69159 162.298367 \nL 126.334495 164.040189 \nL 124.687744 165.698119 \nL 122.699074 167.268573 \nL 120.305303 168.739239 \nL 117.432209 170.084868 \nL 113.995583 171.260956 \nL 112.037673 171.764062 \nL 109.904692 172.194578 \nL 107.585565 172.536876 \nL 105.070177 172.771774 \nL 102.350108 172.875959 \nL 99.419579 172.821408 \nL 96.276691 172.574852 \nL 92.924961 172.097368 \nL 89.375207 171.344231 \nL 85.647775 170.265195 \nL 81.775026 168.805429 \nL 77.803996 166.907411 \nL 73.798912 164.514072 \nL 69.843196 161.573477 \nL 66.040373 158.045231 \nL 62.513151 153.908514 \nL 59.399899 149.171172 \nL 56.847881 143.878821 \nL 55.003031 138.122145 \nL 53.996745 132.040223 \nL 53.931132 125.817643 \nL 54.865116 119.674021 \nL 56.804203 113.84604 \nL 59.69653 108.564288 \nL 63.436555 104.028891 \nL 67.87596 100.388788 \nL 72.839635 97.728825 \nL 78.143457 96.066653 \nL 83.610571 95.359068 \nL 89.08385 95.515263 \nL 94.433402 96.413328 \nL 99.559405 97.916761 \nL 104.391208 99.888369 \nL 108.884094 102.200401 \nL 113.014845 104.740784 \nL 116.777099 107.415902 \nL 120.177038 110.150838 \nL 123.229703 112.88802 \nL 125.956023 115.58492 \nL 128.380514 118.211483 \nL 130.529552 120.747592 \nL 134.108936 125.504294 \nL 136.903283 129.814853 \nL 139.102451 133.688038 \nL 141.637316 138.746224 \nL 145.456863 146.59258 \nL 146.689866 148.636417 \nL 148.018264 150.420358 \nL 149.501149 151.947192 \nL 151.195431 153.210303 \nL 153.158271 154.192724 \nL 155.448709 154.865806 \nL 158.128212 155.187515 \nL 159.633533 155.199328 \nL 161.25968 155.100483 \nL 163.014199 154.881128 \nL 164.904132 154.530279 \nL 166.935698 154.035856 \nL 169.113881 153.384768 \nL 171.441907 152.563089 \nL 173.920588 151.556345 \nL 176.547547 150.349965 \nL 179.316272 148.929922 \nL 182.215046 147.283617 \nL 185.225763 145.401047 \nL 188.322655 143.276297 \nL 191.471055 140.909337 \nL 194.626292 138.308112 \nL 197.732918 135.490791 \nL 200.724484 132.488024 \nL 203.524164 129.344849 \nL 206.046473 126.121876 \nL 208.200357 122.895257 \nL 209.893726 119.754913 \nL 211.039406 116.800679 \nL 211.562059 114.136187 \nL 211.405453 111.860851 \nL 210.539056 110.060752 \nL 208.962846 108.799751 \nL 206.709385 108.11235 \nL 203.842494 107.999807 \nL 200.452559 108.430366 \nL 196.649078 109.343706 \nL 192.551674 110.658681 \nL 188.280888 112.2829 \nL 183.950131 114.122392 \nL 175.492483 118.11019 \nL 167.769833 122.088745 \nL 161.095036 125.770366 \nL 155.559429 129.068636 \nL 151.112461 132.015194 \nL 147.629827 134.687973 \nL 144.9601 137.167302 \nL 142.952245 139.516286 \nL 141.469729 141.776374 \nL 140.396318 143.970214 \nL 139.637126 146.106843 \nL 139.117195 148.18679 \nL 138.664098 151.19111 \nL 138.487769 154.039059 \nL 138.548923 157.562235 \nL 138.87317 160.745617 \nL 139.282979 162.899081 \nL 139.857691 164.844587 \nL 140.638224 166.572773 \nL 141.302809 167.596675 \nL 142.110972 168.509731 \nL 143.093687 169.301397 \nL 144.289249 169.956786 \nL 145.744693 170.455099 \nL 147.517393 170.767485 \nL 149.676746 170.854133 \nL 152.305681 170.660354 \nL 155.501492 170.111451 \nL 159.375028 169.106256 \nL 164.046487 167.509715 \nL 169.634844 165.14588 \nL 172.804684 163.609138 \nL 176.236098 161.794925 \nL 179.931002 159.670297 \nL 183.883546 157.201914 \nL 188.077347 154.358036 \nL 192.482225 151.11144 \nL 197.050555 147.443467 \nL 201.713471 143.349291 \nL 206.377344 138.84438 \nL 210.921266 133.971779 \nL 215.19643 128.8094 \nL 219.028631 123.475942 \nL 222.225026 118.133423 \nL 224.586112 112.983998 \nL 225.922945 108.258882 \nL 226.078424 104.198324 \nL 224.949693 101.023894 \nL 222.507291 98.907209 \nL 218.806083 97.941822 \nL 213.984248 98.125981 \nL 208.249203 99.361713 \nL 201.853088 101.471467 \nL 195.063233 104.227886 \nL 188.134131 107.388701 \nL 174.693136 114.060052 \nL 148.453358 127.396385 \nL 135.717896 133.79655 \nL 131.372044 136.209165 \nL 127.958633 138.369482 \nL 125.212504 140.394381 \nL 122.912909 142.344866 \nL 115.056368 149.53081 \nL 112.883344 151.068282 \nL 110.475082 152.428711 \nL 107.780692 153.560559 \nL 104.763702 154.400729 \nL 103.127668 154.68789 \nL 101.405931 154.871906 \nL 99.600212 154.940598 \nL 97.714418 154.880791 \nL 95.755025 154.67844 \nL 93.7315 154.318825 \nL 91.656724 153.786909 \nL 89.547413 153.067808 \nL 87.424489 152.147466 \nL 85.313324 151.013503 \nL 83.243852 149.656283 \nL 81.250415 148.070126 \nL 79.371308 146.25469 \nL 77.647955 144.216363 \nL 76.123642 141.969582 \nL 74.841839 139.53791 \nL 73.844111 136.954644 \nL 73.167775 134.262798 \nL 72.843424 131.514266 \nL 72.892633 128.768121 \nL 73.326012 126.088018 \nL 74.141961 123.53892 \nL 75.326262 121.18343 \nL 76.852601 119.078058 \nL 78.68403 117.269986 \nL 80.775155 115.79452 \nL 83.07484 114.673657 \nL 85.529089 113.915767 \nL 88.083827 113.516383 \nL 90.687336 113.459832 \nL 93.29216 113.721496 \nL 95.856438 114.270303 \nL 98.344655 115.071267 \nL 100.727871 116.087716 \nL 102.983571 117.283214 \nL 105.095193 118.623002 \nL 107.05148 120.075013 \nL 108.845736 121.610475 \nL 110.475057 123.20419 \nL 111.939589 124.834561 \nL 113.241835 126.483437 \nL 114.38604 128.135834 \nL 115.377666 129.779598 \nL 116.222931 131.405036 \nL 117.500917 134.57236 \nL 118.272531 137.596394 \nL 118.585233 140.454581 \nL 118.477419 143.135771 \nL 117.97651 145.634564 \nL 117.098457 147.947 \nL 115.848208 150.067072 \nL 114.220934 151.983689 \nL 112.20398 153.677639 \nL 111.043961 154.432111 \nL 109.779739 155.118385 \nL 108.409025 155.730293 \nL 106.929851 156.260494 \nL 105.340806 156.700359 \nL 103.641342 157.039866 \nL 101.83212 157.267514 \nL 99.915424 157.370266 \nL 97.89563 157.333551 \nL 95.779733 157.141365 \nL 93.577934 156.776452 \nL 91.304249 156.220661 \nL 88.977128 155.455474 \nL 86.62003 154.46278 \nL 84.261879 153.225908 \nL 81.937353 151.730927 \nL 79.686862 149.968251 \nL 77.556142 147.934455 \nL 75.595336 145.634201 \nL 73.857496 143.082142 \nL 72.396455 140.304529 \nL 71.264133 137.340254 \nL 70.507386 134.241024 \nL 70.164679 131.070404 \nL 70.262927 127.901589 \nL 70.814852 124.813904 \nL 71.817321 121.888304 \nL 73.250882 119.202279 \nL 75.080656 116.82479 \nL 77.258521 114.811883 \nL 79.726293 113.20348 \nL 82.41952 112.021793 \nL 85.27139 111.271332 \nL 88.216386 110.940442 \nL 91.193283 111.003968 \nL 94.147383 111.426579 \nL 97.031873 112.166254 \nL 99.80842 113.177631 \nL 102.447113 114.414819 \nL 104.925948 115.833633 \nL 107.229995 117.393169 \nL 109.350411 119.056774 \nL 111.283404 120.792505 \nL 113.029226 122.57321 \nL 114.591242 124.376315 \nL 115.975119 126.183459 \nL 117.18811 127.980013 \nL 118.238475 129.754576 \nL 119.134994 131.498484 \nL 120.501982 134.870575 \nL 121.357041 138.065064 \nL 121.759375 141.06966 \nL 121.755953 143.883023 \nL 121.380106 146.509112 \nL 120.65138 148.953162 \nL 119.576128 151.21867 \nL 118.14854 153.304835 \nL 116.352039 155.204062 \nL 114.161131 156.899124 \nL 112.907998 157.661251 \nL 111.54406 158.359741 \nL 110.065023 158.988079 \nL 108.466814 159.538351 \nL 106.745842 160.00108 \nL 104.899319 160.365056 \nL 102.925659 160.617158 \nL 100.824952 160.742227 \nL 98.599531 160.722973 \nL 96.254638 160.53997 \nL 93.799175 160.171769 \nL 91.246542 159.595194 \nL 88.615516 158.785869 \nL 85.931126 157.719046 \nL 83.225454 156.370812 \nL 80.538238 154.719722 \nL 77.917138 152.74886 \nL 75.417497 150.448343 \nL 73.101415 147.818106 \nL 71.035988 144.870786 \nL 69.290584 141.634328 \nL 67.933203 138.153915 \nL 67.026062 134.492689 \nL 66.620782 130.7308 \nL 66.753693 126.962494 \nL 67.441924 123.291182 \nL 68.680888 119.822862 \nL 70.443659 116.658604 \nL 72.682452 113.887069 \nL 75.332053 111.578162 \nL 78.314692 109.778711 \nL 81.5457 108.510594 \nL 84.939152 107.771512 \nL 88.41285 107.537931 \nL 91.892189 107.769504 \nL 95.312732 108.41422 \nL 98.621487 109.413524 \nL 101.777125 110.706853 \nL 104.749369 112.235254 \nL 107.517856 113.943988 \nL 110.07073 115.784155 \nL 112.40314 117.713453 \nL 114.515791 119.696346 \nL 116.413617 121.703757 \nL 118.104633 123.712474 \nL 119.59896 125.704449 \nL 120.908028 127.666021 \nL 122.043932 129.58719 \nL 123.845085 133.282601 \nL 125.096278 136.760142 \nL 125.880523 140.013061 \nL 126.26604 143.048093 \nL 126.304914 145.878749 \nL 126.033225 148.521018 \nL 125.47191 150.990672 \nL 124.627856 153.301416 \nL 123.494977 155.463474 \nL 122.055156 157.482214 \nL 120.279075 159.356478 \nL 118.12712 161.076337 \nL 115.550669 162.61987 \nL 112.494351 163.94868 \nL 110.768048 164.514579 \nL 108.900166 165.001734 \nL 106.88424 165.397685 \nL 104.714821 165.687494 \nL 102.388019 165.853436 \nL 99.902184 165.874729 \nL 97.258744 165.727321 \nL 94.463205 165.383788 \nL 91.52634 164.813427 \nL 88.465504 163.982624 \nL 85.306074 162.855646 \nL 82.082901 161.395932 \nL 78.841627 159.56808 \nL 75.639656 157.340612 \nL 72.546524 154.689554 \nL 69.643281 151.60279 \nL 67.020595 148.084878 \nL 64.775251 144.161906 \nL 63.004922 139.88556 \nL 61.801389 135.335514 \nL 61.242681 130.619114 \nL 61.385114 125.867589 \nL 62.256394 121.228504 \nL 63.851099 116.854977 \nL 66.129517 112.892922 \nL 69.020279 109.468361 \nL 72.42646 106.6768 \nL 76.234163 104.576482 \nL 80.322083 103.186403 \nL 84.570634 102.488929 \nL 88.869446 102.436047 \nL 93.122582 102.957726 \nL 97.251357 103.970823 \nL 101.195073 105.387256 \nL 104.910145 107.120608 \nL 108.368231 109.090886 \nL 111.553858 111.227374 \nL 114.461918 113.469969 \nL 117.095311 115.769314 \nL 119.46285 118.086133 \nL 121.577494 120.390134 \nL 123.454921 122.658706 \nL 125.112381 124.875582 \nL 126.567831 127.029612 \nL 128.944284 131.12373 \nL 130.721191 134.916794 \nL 132.020151 138.413151 \nL 132.943677 141.631723 \nL 133.574778 144.597691 \nL 133.97834 147.33781 \nL 134.26041 151.080494 \nL 134.248228 154.450671 \nL 134.000386 157.513751 \nL 133.535792 160.323563 \nL 132.841383 162.924633 \nL 131.875354 165.35434 \nL 131.046517 166.894724 \nL 130.036657 168.380884 \nL 128.808845 169.819027 \nL 127.317238 171.212975 \nL 125.505583 172.562752 \nL 123.305601 173.862267 \nL 120.635508 175.095563 \nL 117.399189 176.230924 \nL 113.486984 177.211894 \nL 111.240378 177.616897 \nL 108.779924 177.943921 \nL 106.091057 178.172092 \nL 103.160567 178.275464 \nL 99.97769 178.222126 \nL 96.535555 177.973295 \nL 92.833089 177.482488 \nL 88.877426 176.694939 \nL 84.686873 175.547471 \nL 80.294395 173.969172 \nL 75.751504 171.883298 \nL 71.132223 169.210945 \nL 66.536602 165.877007 \nL 62.092875 161.818892 \nL 57.957185 156.998018 \nL 54.30945 151.413538 \nL 51.344241 145.116608 \nL 49.256009 138.222396 \nL 48.219317 130.916039 \nL 48.36648 123.448584 \nL 49.766641 116.120402 \nL 52.411292 109.252454 \nL 56.210541 103.149642 \nL 61.001893 98.06385 \nL 66.57008 94.165043 \nL 72.673223 91.526755 \nL 79.069471 90.128016 \nL 85.538956 89.869215 \nL 91.89809 90.5962 \nL 98.005828 92.126343 \nL 103.763305 94.271544 \nL 109.109124 96.855368 \nL 114.01257 99.723584 \nL 118.466408 102.748921 \nL 122.48032 105.831497 \nL 126.075457 108.896553 \nL 129.280194 111.890777 \nL 132.126978 114.778222 \nL 134.650075 117.536372 \nL 138.862555 122.621905 \nL 142.180776 127.120523 \nL 145.986122 132.836795 \nL 149.842083 138.789732 \nL 151.570051 141.149119 \nL 153.310979 143.136838 \nL 155.152368 144.767697 \nL 157.169038 146.044016 \nL 158.26378 146.546496 \nL 159.426113 146.955485 \nL 160.662912 147.267701 \nL 161.980534 147.479089 \nL 163.384769 147.584823 \nL 164.880718 147.579343 \nL 166.472666 147.456418 \nL 168.163869 147.209229 \nL 169.956311 146.830504 \nL 171.850378 146.312703 \nL 173.844491 145.648258 \nL 175.934652 144.829932 \nL 178.113953 143.851237 \nL 180.372016 142.706993 \nL 182.694427 141.394009 \nL 185.062153 139.911869 \nL 187.451023 138.263843 \nL 189.831318 136.457882 \nL 192.167558 134.507625 \nL 194.418581 132.433344 \nL 196.538001 130.262675 \nL 198.475179 128.031042 \nL 200.176735 125.781539 \nL 201.588684 123.564108 \nL 202.659119 121.433963 \nL 203.341331 119.449095 \nL 203.597124 117.667042 \nL 203.400008 116.141118 \nL 202.73789 114.916461 \nL 201.614849 114.026438 \nL 200.051721 113.489892 \nL 198.085302 113.309738 \nL 195.766226 113.473063 \nL 193.155731 113.952808 \nL 190.321721 114.710769 \nL 187.334605 115.701385 \nL 184.263382 116.875806 \nL 178.118623 119.586189 \nL 172.307693 122.509861 \nL 167.107535 125.418637 \nL 162.660075 128.190788 \nL 159.003673 130.784035 \nL 156.109359 133.201795 \nL 153.911723 135.465901 \nL 152.331329 137.599593 \nL 151.289201 139.619249 \nL 150.715235 141.531841 \nL 150.552448 143.335343 \nL 150.758605 145.020165 \nL 151.306314 146.570593 \nL 152.182318 147.965691 \nL 153.386381 149.179532 \nL 154.929971 150.180783 \nL 156.834716 150.931671 \nL 159.130449 151.386571 \nL 161.85245 151.490434 \nL 165.03727 151.177424 \nL 168.71627 150.370589 \nL 170.747132 149.755279 \nL 172.90576 148.983704 \nL 175.189462 148.044611 \nL 177.592493 146.927275 \nL 180.105295 145.622101 \nL 182.713661 144.121435 \nL 185.397867 142.42055 \nL 188.131802 140.51885 \nL 190.882204 138.421238 \nL 193.608075 136.139621 \nL 196.26045 133.694425 \nL 198.782636 131.115931 \nL 201.111154 128.445256 \nL 203.177476 125.734673 \nL 204.910703 123.04694 \nL 206.241176 120.453442 \nL 207.104878 118.030938 \nL 207.448299 115.856954 \nL 207.233307 114.004183 \nL 206.441326 112.534414 \nL 205.076237 111.49287 \nL 203.165389 110.903843 \nL 200.758453 110.768447 \nL 197.924138 111.064926 \nL 194.74518 111.751543 \nL 191.312337 112.771483 \nL 187.718165 114.059027 \nL 184.051394 115.5458 \nL 176.81039 118.86265 \nL 170.08859 122.299484 \nL 164.182412 125.597947 \nL 159.213289 128.648534 \nL 155.180021 131.440134 \nL 152.009706 134.009366 \nL 149.596491 136.405158 \nL 147.826925 138.669907 \nL 146.594695 140.832539 \nL 145.808068 142.908268 \nL 145.392807 144.901156 \nL 145.292487 146.807284 \nL 145.467514 148.617427 \nL 145.893629 150.318849 \nL 146.560363 151.896219 \nL 147.469706 153.331715 \nL 148.635074 154.604476 \nL 150.080588 155.689496 \nL 151.840549 156.555979 \nL 153.958934 157.165222 \nL 156.488576 157.46801 \nL 159.489489 157.401666 \nL 163.025525 156.88705 \nL 165.013762 156.431789 \nL 167.158106 155.826191 \nL 169.464054 155.055028 \nL 171.935221 154.102106 \nL 174.572554 152.950588 \nL 177.373407 151.583501 \nL 180.330426 149.984489 \nL 183.430258 148.138868 \nL 186.652125 146.035022 \nL 189.966296 143.66621 \nL 193.332595 141.032765 \nL 196.699089 138.144657 \nL 200.0012 135.024227 \nL 203.161539 131.708909 \nL 206.090805 128.253466 \nL 208.690138 124.731225 \nL 210.855157 121.233658 \nL 212.481864 117.867671 \nL 213.474149 114.750163 \nL 213.752393 111.999824 \nL 213.262117 109.726743 \nL 211.981354 108.021115 \nL 209.925359 106.942902 \nL 207.147494 106.514479 \nL 203.735795 106.717993 \nL 199.805566 107.498098 \nL 195.489208 108.769641 \nL 190.924966 110.428686 \nL 186.246364 112.364673 \nL 181.573764 114.471509 \nL 172.631548 118.842878 \nL 164.655085 123.020602 \nL 157.891908 126.771082 \nL 152.366942 130.066547 \nL 147.976095 132.982596 \nL 144.557005 135.623152 \nL 141.93313 138.080687 \nL 139.937516 140.422104 \nL 138.42354 142.688641 \nL 137.268126 144.901427 \nL 136.370928 147.068127 \nL 135.338104 150.230434 \nL 132.558613 159.856254 \nL 131.471974 162.447262 \nL 130.588702 164.102625 \nL 129.538598 165.703793 \nL 128.281765 167.253165 \nL 126.771257 168.7515 \nL 124.951342 170.19626 \nL 122.755842 171.579152 \nL 120.106742 172.882339 \nL 116.913579 174.072744 \nL 113.074541 175.093535 \nL 110.878887 175.513127 \nL 108.480936 175.851778 \nL 105.867774 176.089428 \nL 103.027948 176.201348 \nL 99.952484 176.15738 \nL 96.636233 175.921177 \nL 93.079616 175.449538 \nL 89.290793 174.691992 \nL 85.288317 173.590808 \nL 81.104192 172.081744 \nL 76.787249 170.095901 \nL 72.406526 167.563092 \nL 68.054185 164.417197 \nL 63.84723 160.603787 \nL 59.92708 156.090098 \nL 56.455888 150.876726 \nL 53.608639 145.009757 \nL 51.560539 138.590981 \nL 50.470219 131.783082 \nL 50.460637 124.806666 \nL 51.600926 117.926936 \nL 53.893215 111.43012 \nL 57.268084 105.592852 \nL 61.590414 100.650322 \nL 66.674829 96.770085 \nL 72.307324 94.037107 \nL 78.268365 92.452477 \nL 84.352969 91.944389 \nL 90.384893 92.387293 \nL 96.224054 93.624098 \nL 101.767932 95.486872 \nL 106.948716 97.813222 \nL 111.728025 100.457208 \nL 116.090808 103.295142 \nL 120.039463 106.227315 \nL 123.588705 109.176883 \nL 126.761437 112.087205 \nL 129.585571 114.918467 \nL 132.091679 117.644251 \nL 136.275846 122.722341 \nL 139.559748 127.270733 \nL 142.16737 131.301614 \nL 146.099751 137.970217 \nL 148.503284 141.919143 \nL 150.05823 144.112736 \nL 151.678755 145.978069 \nL 153.440141 147.522433 \nL 155.409788 148.741535 \nL 156.492278 149.224459 \nL 157.649795 149.618895 \nL 158.889478 149.920777 \nL 160.218197 150.125186 \nL 161.642494 150.226353 \nL 163.168477 150.217654 \nL 164.801664 150.091633 \nL 166.546782 149.840045 \nL 168.407496 149.453955 \nL 170.386068 148.923871 \nL 172.482933 148.239958 \nL 174.696197 147.392363 \nL 177.021049 146.371621 \nL 179.449088 145.169236 \nL 181.967576 143.778395 \nL 184.558669 142.194875 \nL 187.198634 140.418115 \nL 189.857157 138.452469 \nL 192.496801 136.308547 \nL 195.072768 134.004578 \nL 197.533073 131.567665 \nL 199.819303 129.034717 \nL 201.868101 126.452832 \nL 203.613463 123.878848 \nL 204.989862 121.377875 \nL 205.936146 119.020597 \nL 206.399872 116.879366 \nL 206.341767 115.023319 \nL 205.739699 113.512972 \nL 204.591649 112.39497 \nL 202.917089 111.697806 \nL 200.7565 111.429205 \nL 198.168946 111.575748 \nL 195.227964 112.10477 \nL 192.016347 112.968246 \nL 188.620523 114.108019 \nL 185.125197 115.46146 \nL 178.140636 118.567365 \nL 171.566975 121.869578 \nL 165.722904 125.095097 \nL 160.757356 128.112631 \nL 156.694238 130.891492 \nL 153.480299 133.454644 \nL 151.023626 135.843136 \nL 149.220009 138.09563 \nL 147.968963 140.239723 \nL 147.182333 142.290316 \nL 146.788113 144.251353 \nL 146.731438 146.118484 \nL 146.974064 147.881512 \nL 147.493166 149.526065 \nL 148.279978 151.034421 \nL 149.338524 152.385534 \nL 150.68455 153.55438 \nL 152.34463 154.510682 \nL 154.355297 155.217138 \nL 156.761925 155.627169 \nL 159.616874 155.682363 \nL 162.976187 155.309902 \nL 166.893754 154.420624 \nL 169.075808 153.74977 \nL 171.411403 152.909007 \nL 173.901282 151.883272 \nL 176.543025 150.6574 \nL 179.33009 149.216775 \nL 182.250704 147.548209 \nL 185.286641 145.641133 \nL 188.411917 143.489101 \nL 191.591499 141.091638 \nL 194.780154 138.456376 \nL 197.921632 135.601377 \nL 200.948412 132.557445 \nL 203.782292 129.370143 \nL 206.336133 126.101021 \nL 208.516997 122.827631 \nL 210.230797 119.641743 \nL 211.388392 116.645376 \nL 211.912737 113.94453 \nL 211.74637 111.640895 \nL 210.858204 109.822435 \nL 209.248502 108.554193 \nL 206.950976 107.870932 \nL 204.031382 107.773162 \nL 200.582612 108.227473 \nL 196.716964 109.171186 \nL 192.556818 110.520487 \nL 188.225187 112.180324 \nL 183.83744 114.054413 \nL 175.282276 118.101894 \nL 167.486761 122.122678 \nL 160.761576 125.82981 \nL 155.19282 129.141357 \nL 150.724173 132.093937 \nL 147.226273 134.769434 \nL 144.543679 137.250734 \nL 142.522319 139.602383 \nL 141.023366 141.866529 \nL 139.928796 144.066135 \nL 139.14222 146.210394 \nL 138.587296 148.299967 \nL 138.064298 151.322951 \nL 137.792166 154.195757 \nL 137.672537 157.765288 \nL 137.769489 161.779793 \nL 138.07876 165.290418 \nL 138.497535 167.741699 \nL 138.945268 169.373471 \nL 139.548605 170.82497 \nL 140.361636 172.086987 \nL 141.0563 172.81435 \nL 141.906142 173.4406 \nL 142.947111 173.953036 \nL 144.223567 174.333783 \nL 145.790054 174.55792 \nL 147.713281 174.590864 \nL 150.074175 174.38477 \nL 152.969674 173.873618 \nL 156.513555 172.966714 \nL 160.834965 171.540516 \nL 166.072206 169.4294 \nL 169.076528 168.051638 \nL 172.35753 166.417543 \nL 175.925754 164.492032 \nL 179.78621 162.237585 \nL 183.93587 159.615492 \nL 188.360529 156.58794 \nL 193.031038 153.121165 \nL 197.898981 149.189973 \nL 202.892044 144.78381 \nL 207.90955 139.914386 \nL 212.81898 134.624536 \nL 217.454614 128.997393 \nL 221.619783 123.16422 \nL 225.094285 117.308391 \nL 227.648276 111.662459 \nL 229.062892 106.495269 \nL 229.156229 102.087644 \nL 227.810928 98.697908 \nL 224.997729 96.522737 \nL 220.788457 95.662262 \nL 215.353542 96.09965 \nL 208.94296 97.70234 \nL 201.85451 100.245637 \nL 194.396956 103.452136 \nL 186.856578 107.035738 \nL 172.429463 114.358501 \nL 154.313224 123.580592 \nL 144.995716 128.079864 \nL 127.554656 136.356436 \nL 124.071211 138.30185 \nL 121.249044 140.110111 \nL 117.771335 142.681682 \nL 112.661192 146.608983 \nL 110.530845 147.981232 \nL 108.237519 149.17942 \nL 105.732428 150.152535 \nL 102.985774 150.841398 \nL 99.989037 151.178007 \nL 98.401111 151.190599 \nL 96.759481 151.085881 \nL 95.071389 150.853408 \nL 93.346544 150.482742 \nL 91.597346 149.963784 \nL 89.839084 149.287199 \nL 88.090039 148.444945 \nL 86.371519 147.430921 \nL 84.707736 146.241691 \nL 83.125519 144.877284 \nL 81.653816 143.342007 \nL 80.322957 141.645217 \nL 79.163695 139.80197 \nL 78.205998 137.833456 \nL 77.477688 135.767084 \nL 77.002966 133.636197 \nL 76.800964 131.479303 \nL 76.884426 129.338816 \nL 77.258669 127.25938 \nL 77.920956 125.285838 \nL 78.86034 123.461077 \nL 80.058048 121.823859 \nL 81.488345 120.406932 \nL 83.11983 119.235576 \nL 84.917021 118.326673 \nL 86.842069 117.688427 \nL 88.856451 117.320665 \nL 90.922531 117.215663 \nL 93.004839 117.359314 \nL 95.071076 117.732562 \nL 97.092776 118.312883 \nL 99.045644 119.075682 \nL 100.909666 119.995583 \nL 102.668959 121.047471 \nL 104.311499 122.207302 \nL 105.828722 123.452683 \nL 107.215082 124.763239 \nL 108.467575 126.120793 \nL 109.585283 127.509402 \nL 110.568939 128.915304 \nL 112.142929 131.733913 \nL 113.214466 134.50369 \nL 113.814267 137.174476 \nL 113.972627 139.712225 \nL 113.715531 142.093124 \nL 113.062631 144.298679 \nL 112.026668 146.311582 \nL 110.614088 148.112218 \nL 108.826719 149.675543 \nL 107.792463 150.358192 \nL 106.664579 150.968206 \nL 105.443459 151.499696 \nL 104.129978 151.945939 \nL 102.725717 152.299348 \nL 101.233209 152.551446 \nL 99.656225 152.692874 \nL 98.00008 152.713428 \nL 96.271977 152.602204 \nL 94.481351 152.34776 \nL 92.640233 151.938399 \nL 90.763579 151.362571 \nL 88.869569 150.609386 \nL 86.979813 149.669273 \nL 85.11944 148.534771 \nL 83.317009 147.201461 \nL 81.604197 145.668979 \nL 80.015214 143.942069 \nL 78.585916 142.031581 \nL 77.352596 139.955323 \nL 76.35049 137.738606 \nL 75.612038 135.41437 \nL 75.165047 133.022767 \nL 75.030868 130.610112 \nL 75.222797 128.227215 \nL 75.744868 125.927131 \nL 76.591188 123.76253 \nL 77.745956 121.782914 \nL 79.184145 120.031923 \nL 80.872819 118.545107 \nL 82.772933 117.348296 \nL 84.841425 116.456757 \nL 87.033406 115.875187 \nL 89.304227 115.598436 \nL 91.611268 115.612831 \nL 93.915345 115.897874 \nL 96.181708 116.428133 \nL 98.380596 117.175102 \nL 100.487449 118.108876 \nL 102.482802 119.199609 \nL 104.351964 120.4186 \nL 106.084542 121.739104 \nL 107.673889 123.136841 \nL 109.116513 124.590244 \nL 110.411505 126.080542 \nL 111.55999 127.591674 \nL 112.564634 129.110105 \nL 113.429206 130.624606 \nL 114.756536 133.606758 \nL 115.58139 136.483993 \nL 115.94258 139.22208 \nL 115.873548 141.799634 \nL 115.399762 144.202401 \nL 114.53772 146.418676 \nL 113.295157 148.435534 \nL 111.67223 150.235535 \nL 110.716615 151.046768 \nL 109.663671 151.793628 \nL 108.512431 152.471297 \nL 107.262069 153.074092 \nL 105.912093 153.595388 \nL 104.462568 154.027523 \nL 102.914374 154.361747 \nL 101.2695 154.588168 \nL 99.531392 154.695752 \nL 97.705328 154.672372 \nL 95.798844 154.504917 \nL 93.822176 154.179506 \nL 91.788711 153.681832 \nL 89.715437 152.997626 \nL 87.623321 152.113309 \nL 85.537594 151.016816 \nL 83.487885 149.698639 \nL 81.508114 148.153012 \nL 79.636087 146.379252 \nL 77.91273 144.383142 \nL 76.3809 142.178249 \nL 75.083785 139.787 \nL 74.062894 137.241342 \nL 73.355781 134.58281 \nL 72.993629 131.861797 \nL 72.998951 129.135967 \nL 73.383644 126.467813 \nL 74.147685 123.921518 \nL 75.278593 121.55936 \nL 76.751873 119.438087 \nL 78.532309 117.605598 \nL 80.576049 116.098381 \nL 82.833209 114.939947 \nL 85.250696 114.14038 \nL 87.774972 113.696964 \nL 90.354495 113.595691 \nL 92.941686 113.813403 \nL 95.494311 114.320234 \nL 97.976306 115.082086 \nL 100.358075 116.062909 \nL 102.616391 117.2266 \nL 104.733976 118.538519 \nL 106.698892 119.966533 \nL 108.503813 121.481671 \nL 110.145274 123.058461 \nL 111.622936 124.674968 \nL 112.938889 126.312694 \nL 114.097043 127.9563 \nL 115.102584 129.593293 \nL 115.961522 131.213671 \nL 117.265524 134.374895 \nL 118.060819 137.396638 \nL 118.394624 140.254895 \nL 118.305452 142.937458 \nL 117.821082 145.438167 \nL 116.957975 147.752538 \nL 115.721694 149.874222 \nL 114.108099 151.791917 \nL 112.105285 153.486349 \nL 110.952758 154.240848 \nL 109.696449 154.927047 \nL 108.334182 155.538807 \nL 106.86409 156.068844 \nL 105.284875 156.508605 \nL 103.596093 156.848161 \nL 101.798504 157.076125 \nL 99.894475 157.17961 \nL 97.888448 157.144236 \nL 95.787457 156.954204 \nL 93.601707 156.592513 \nL 91.345162 156.041297 \nL 89.036164 155.282358 \nL 86.69798 154.297928 \nL 84.359258 153.071676 \nL 82.054286 151.59001 \nL 79.822984 149.843625 \nL 77.710481 147.829296 \nL 75.766222 145.551765 \nL 74.042482 143.025581 \nL 72.59229 140.276679 \nL 71.466784 137.343396 \nL 70.712138 134.276624 \nL 70.366307 131.138889 \nL 70.455914 128.002175 \nL 70.993691 124.944512 \nL 71.976819 122.045577 \nL 73.386453 119.381736 \nL 75.188584 117.021093 \nL 77.336125 115.019165 \nL 79.772024 113.415743 \nL 82.432926 112.233249 \nL 85.253048 111.476738 \nL 88.167722 111.135342 \nL 91.116393 111.184829 \nL 94.044815 111.590821 \nL 96.906435 112.312243 \nL 99.663002 113.304564 \nL 102.284559 114.522596 \nL 104.748943 115.922711 \nL 107.040998 117.464414 \nL 109.15161 119.111331 \nL 111.076696 120.831685 \nL 112.816213 122.598391 \nL 114.373241 124.388884 \nL 115.753176 126.18475 \nL 116.963028 127.971276 \nL 118.01083 129.736961 \nL 118.905166 131.473023 \nL 120.268248 134.832035 \nL 121.119102 138.01614 \nL 121.516091 141.012196 \nL 121.505586 143.818079 \nL 121.120498 146.437045 \nL 120.380102 148.873651 \nL 119.290607 151.130704 \nL 117.846196 153.206651 \nL 116.030456 155.093029 \nL 113.818304 156.771573 \nL 112.55402 157.523691 \nL 111.178755 158.210779 \nL 109.688397 158.826125 \nL 108.079099 159.361623 \nL 106.347553 159.80759 \nL 104.491324 160.152603 \nL 102.509244 160.383342 \nL 100.401913 160.484474 \nL 98.17226 160.438576 \nL 95.826224 160.226155 \nL 93.373496 159.825798 \nL 90.828352 159.2145 \nL 88.210515 158.368241 \nL 85.545993 157.262874 \nL 82.867835 155.875375 \nL 80.216648 154.185519 \nL 77.640778 152.177987 \nL 75.195948 149.844852 \nL 72.944217 147.188337 \nL 70.952075 144.223579 \nL 69.287625 140.981077 \nL 68.016886 137.50838 \nL 67.199399 133.870511 \nL 66.883521 130.148724 \nL 67.101954 126.437316 \nL 67.868116 122.838532 \nL 69.173995 119.455973 \nL 70.989849 116.387222 \nL 73.265962 113.716706 \nL 75.936229 111.509779 \nL 78.923051 109.808841 \nL 82.14287 108.63193 \nL 85.51161 107.973786 \nL 88.949384 107.808933 \nL 92.384111 108.096142 \nL 95.753845 108.783423 \nL 99.007898 109.812984 \nL 102.106932 111.125519 \nL 105.022306 112.663631 \nL 107.73493 114.374224 \nL 110.233882 116.210007 \nL 112.514946 118.130162 \nL 114.579209 120.100451 \nL 116.431788 122.092881 \nL 118.080723 124.085139 \nL 119.536038 126.059865 \nL 120.808979 128.003936 \nL 121.911402 129.907743 \nL 123.652374 133.569891 \nL 124.850325 137.017017 \nL 125.585706 140.242719 \nL 125.924268 143.253549 \nL 125.915786 146.06251 \nL 125.594203 148.684897 \nL 124.978457 151.135611 \nL 124.073553 153.427294 \nL 122.871622 155.568843 \nL 121.352864 157.563907 \nL 119.486459 159.409049 \nL 117.231621 161.091268 \nL 114.539187 162.584471 \nL 113.011861 163.2473 \nL 111.354394 163.844633 \nL 109.559868 164.367104 \nL 107.621825 164.803319 \nL 105.534635 165.139582 \nL 103.293996 165.359598 \nL 100.897538 165.444202 \nL 98.345583 165.371134 \nL 95.642052 165.114895 \nL 92.795546 164.646773 \nL 89.820578 163.935099 \nL 86.738916 162.945838 \nL 83.580985 161.64366 \nL 80.38721 159.993594 \nL 77.209078 157.963383 \nL 74.109761 155.526634 \nL 71.163913 152.666738 \nL 68.456357 149.381343 \nL 66.079348 145.687074 \nL 64.128231 141.623811 \nL 62.695476 137.257749 \nL 61.863478 132.682255 \nL 61.696839 128.015672 \nL 62.235164 123.395588 \nL 63.487603 118.969743 \nL 65.430234 114.884398 \nL 68.006981 111.271935 \nL 71.134048 108.239517 \nL 74.707225 105.860841 \nL 78.610796 104.172055 \nL 82.726664 103.172313 \nL 86.942392 102.828273 \nL 91.157315 103.081329 \nL 95.286356 103.856056 \nL 99.261669 105.068505 \nL 103.032522 106.633356 \nL 106.563927 108.469369 \nL 109.834558 110.503028 \nL 112.834382 112.670529 \nL 115.5623 114.918452 \nL 118.023983 117.203514 \nL 120.230009 119.491689 \nL 122.194305 121.757043 \nL 123.932896 123.980477 \nL 125.462933 126.148467 \nL 127.967245 130.285343 \nL 129.842927 134.132192 \nL 131.21258 137.686592 \nL 132.180711 140.96363 \nL 132.832525 143.986513 \nL 133.234834 146.781175 \nL 133.43798 149.373327 \nL 133.444962 152.933766 \nL 133.155512 156.163272 \nL 132.595132 159.121099 \nL 132.065872 160.966486 \nL 131.39835 162.725131 \nL 130.573161 164.407569 \nL 129.563743 166.02263 \nL 128.335684 167.577098 \nL 126.845719 169.074978 \nL 125.040504 170.516158 \nL 122.855274 171.894164 \nL 120.212678 173.192565 \nL 117.022284 174.379391 \nL 113.181715 175.39866 \nL 110.983346 175.818454 \nL 108.581121 176.158004 \nL 105.961886 176.397249 \nL 103.113904 176.511411 \nL 100.027884 176.470217 \nL 96.698339 176.237117 \nL 93.125331 175.768598 \nL 89.316686 175.013724 \nL 85.29066 173.914133 \nL 81.079072 172.404743 \nL 76.730733 170.415585 \nL 72.314928 167.875184 \nL 67.924426 164.715942 \nL 63.677303 160.881883 \nL 59.716595 156.33877 \nL 56.206646 151.086089 \nL 53.325121 145.169477 \nL 51.250219 138.691265 \nL 50.143522 131.81596 \nL 50.130453 124.767325 \nL 51.281654 117.81487 \nL 53.599455 111.249761 \nL 57.013169 105.353442 \nL 61.385126 100.364998 \nL 66.526522 96.454326 \nL 72.219607 93.706909 \nL 78.241336 92.122616 \nL 84.383869 91.627145 \nL 90.468962 92.091739 \nL 96.355387 93.355974 \nL 101.940214 95.24889 \nL 107.155768 97.60561 \nL 111.964159 100.278378 \nL 116.351023 103.142321 \nL 120.319505 106.09706 \nL 123.885068 109.06551 \nL 127.071308 111.991053 \nL 129.906754 114.834071 \nL 132.422517 117.568447 \nL 136.6228 122.655579 \nL 139.920896 127.204287 \nL 142.542886 131.228811 \nL 149.737559 142.913554 \nL 151.346985 144.913133 \nL 153.066025 146.584647 \nL 154.965784 147.928862 \nL 157.11064 148.934478 \nL 158.293725 149.30334 \nL 159.56002 149.577558 \nL 160.91621 149.752075 \nL 162.368585 149.821001 \nL 163.922925 149.777607 \nL 165.584323 149.614371 \nL 167.356971 149.323046 \nL 169.243864 148.89476 \nL 171.246437 148.320193 \nL 173.364136 147.589823 \nL 175.593882 146.694284 \nL 177.929481 145.624822 \nL 180.360941 144.373909 \nL 182.873743 142.936017 \nL 185.448099 141.308559 \nL 188.058225 139.492988 \nL 190.671726 137.496041 \nL 193.249212 135.331049 \nL 195.744202 133.019196 \nL 198.103526 130.590642 \nL 200.268321 128.08518 \nL 202.175779 125.552333 \nL 203.761651 123.050554 \nL 204.96357 120.645351 \nL 205.724966 118.406256 \nL 205.999329 116.40271 \nL 205.754344 114.699148 \nL 204.975414 113.349816 \nL 203.66798 112.394017 \nL 201.858226 111.852559 \nL 199.591956 111.725955 \nL 196.931671 111.994811 \nL 193.952223 112.622343 \nL 190.735614 113.558582 \nL 187.365646 114.745565 \nL 183.923012 116.122705 \nL 177.104613 119.219657 \nL 170.74455 122.465631 \nL 165.127556 125.617303 \nL 160.37979 128.562717 \nL 156.513125 131.27997 \nL 153.470259 133.793384 \nL 151.160227 136.141556 \nL 149.482466 138.359407 \nL 148.341324 140.470886 \nL 147.653785 142.487883 \nL 147.352839 144.412012 \nL 147.388287 146.237108 \nL 147.726179 147.951386 \nL 148.347663 149.53888 \nL 149.247683 150.980036 \nL 150.433762 152.251524 \nL 151.924936 153.325417 \nL 153.75076 154.167725 \nL 155.950202 154.736501 \nL 158.57004 154.979529 \nL 161.662192 154.831871 \nL 165.279084 154.213758 \nL 167.29899 153.699038 \nL 169.465802 153.029744 \nL 171.781928 152.191848 \nL 174.247368 151.170912 \nL 176.858921 149.952544 \nL 179.609244 148.523041 \nL 182.485799 146.870292 \nL 185.46967 144.984942 \nL 188.534336 142.861877 \nL 191.644489 140.501985 \nL 194.754988 137.914216 \nL 197.810179 135.117759 \nL 200.743779 132.144159 \nL 203.47959 129.039113 \nL 205.933324 125.863472 \nL 208.015744 122.693032 \nL 209.637218 119.616611 \nL 210.713573 116.732067 \nL 211.172861 114.140238 \nL 210.962333 111.937045 \nL 210.054683 110.204712 \nL 208.452492 109.003287 \nL 206.189948 108.364015 \nL 203.331322 108.285891 \nL 199.966215 108.736191 \nL 196.202238 109.654963 \nL 192.156293 110.962664 \nL 187.945757 112.569392 \nL 183.680776 114.384093 \nL 175.359595 118.311939 \nL 167.765588 122.231747 \nL 161.202116 125.865918 \nL 155.758107 129.130307 \nL 151.384829 132.054401 \nL 147.961683 134.712473 \nL 145.34142 137.181369 \nL 143.37699 139.521521 \nL 141.935407 141.772562 \nL 140.903535 143.955988 \nL 140.189225 146.080128 \nL 139.720022 148.145008 \nL 139.440787 150.146184 \nL 139.292894 153.014641 \nL 139.396088 155.703965 \nL 139.708025 158.195612 \nL 140.221073 160.474161 \nL 140.956107 162.524777 \nL 141.591739 163.756502 \nL 142.367359 164.871687 \nL 143.309904 165.860465 \nL 144.453275 166.709284 \nL 145.839439 167.399465 \nL 147.519738 167.905296 \nL 149.556279 168.191493 \nL 152.02322 168.209838 \nL 155.007496 167.894803 \nL 158.608241 167.158088 \nL 162.933491 165.882328 \nL 168.091808 163.914973 \nL 171.013465 162.613724 \nL 174.175073 161.065068 \nL 177.580368 159.239982 \nL 181.227023 157.108642 \nL 185.104428 154.64188 \nL 189.191052 151.813337 \nL 193.451418 148.602489 \nL 197.832873 144.998675 \nL 202.2624 141.006137 \nL 206.643949 136.649933 \nL 210.856987 131.982227 \nL 214.75709 127.088088 \nL 218.179632 122.089456 \nL 220.94742 117.145446 \nL 222.882812 112.447127 \nL 223.823977 108.205263 \nL 223.64378 104.630833 \nL 222.26844 101.910119 \nL 219.692103 100.178487 \nL 215.983508 99.498748 \nL 211.282157 99.849941 \nL 205.783951 101.130269 \nL 199.718971 103.173854 \nL 193.326244 105.777136 \nL 186.830605 108.72811 \nL 174.263644 114.928197 \nL 142.927243 131.027145 \nL 137.64928 133.902425 \nL 133.538203 136.386146 \nL 130.312149 138.643257 \nL 127.724514 140.777912 \nL 125.568237 142.845444 \nL 121.899977 146.842776 \nL 119.22565 149.68789 \nL 117.300553 151.471947 \nL 115.173242 153.130825 \nL 112.779126 154.626795 \nL 110.062282 155.912668 \nL 106.976629 156.928276 \nL 105.284685 157.311361 \nL 105.284685 157.311361 \n\" style=\"fill:none;stroke:#0000ff;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd76682be7c\">\n   <rect height=\"266.112\" width=\"266.112\" x=\"7.2\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZYAAAGOCAYAAAC0fSVgAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAA9hAAAPYQGoP6dpAADLm0lEQVR4nOydd3wT9f/HX3dZTffehVIoBcpqKVNQFAVRceD8iqLiFlTk6+arouJe/ETBrThx4h7gQJAN3dCW7pYOOtKZnbv7/XHeNUmTNOPSJuWej0cfSpJersnd5/V5b4JhGAYiIiIiIiICQQ71CYiIiIiIDC9EYRERERERERRRWEREREREBEUUFhERERERQRGFRUREREREUERhERERERERFFFYREREREQERRQWERERERFBEYVFRERERERQRGEREREREREUUVhERERERARFFBYREREREUERhUVERERERFBEYRERERERERRRWEREREREBEUUFhERERERQRGFRUREREREUERhERERERERFFFYREREREQERRQWERERERFBEYVFRERERERQRGEREREREREUUVhERERERARFFBYREREREUERhUVERERERFBEYRERERERERRRWEREREREBEUUFhERERERQRGFRUREREREUERhERERERERFFFYREREREQERRQWERERERFBEYVFRERERERQRGEREREREREUUVhERERERARFFBYREREREUGRDvUJiJxaMAwDk8kEnU4HiUQCqVQKiUQCkiRBEMRQn56IiIgAEAzDMEN9EiKnBjRNw2g0gqIo6HQ6/nGCIECSJGQymSg0IiLDAFFYRLwOwzAwGo3Q6/WQSCQgCAIGgwEkSYJhGP6HpmkArNBw1owoNCIi/ocoLCJehROVEydOoL6+HjNnzuQfsyUUtoSGJEmQJCkKjYiInyDGWES8hrnrixMBgiDA7WUYhuknDgRB8I9JJBJeZCiKAkVR0Ov1vOtMFBoREd9EFBYRweGEwGQygaZp3uIwN45tiYotOKEhSZL/PXtCI5PJeBeauUCJiIgMLqKwiAgK5+aiKAoALCwJIbyujoTGZDLxz1vHaEShEREZPERhEREMiqJgNBp5K8V8IeeEQGjsCY3JZOLjOJzQcBYN5zoTERHxDqKwiHgMt5CbTCYAsBvv4ILx3kQUGhGRoUcUFhGP4AL05qnCtkRlqNxQAwkNgH6JAKLQiIh4higsIm7BpQMbjUY+EO9IPMyzwYYy1mFPaIxGIwwGA/+8KDQiIu4jCouIy1gH6J0JjJsLC/dvX8CW0HCCyVk01kLDZZ2JiIjYRhQWEZcwr01xpXbEWlh8FS7+wmEuNJxFo1arERAQgODgYIusMxERERZRWEScwlZtiiuLqb8IizW2hKampgYRERH8Z0CSZL9kAFFoRE5lRGERGRBHtSnO4q/CYo2560wmk9m0aGwlA4hCI3IqIQqLiENomobBYHDLSjFnuAgLgH6xIs6i4R7nPjN77WdEoREZ7ojCImITzvXFZX0J0YtruAiLPcx7nAGi0IicuojCItIPmqahUqlAEAQCAwMFEZVTceG0JTTcj16vh8FgAGC7juZU/LxEhg+isIjwmMcLqqqqEBQUhDFjxghy7OHkCgPcE0p7nZs5obHXUFPs3Czib4jCIgLAdlsWIYVguAmLEDgSGm7CpjhdU8QfEYVFpN/cFFtt7j1FFJaBcVZoxOmaIr6OKCynMI5qU4QWAlFYXMee0NA0zQuNOF1TxBcRheUUZaDaFIIgBO1GbKuliyg0ruFIaPR6PXQ6nSg0Ij6BKCynIM7UppAkyYuOEAg57EuExbpHmzhdU8RXEIXlFMKV2hRvWRTOjiT2ZXxVHJ2Zrtnc3Iy4uDgolUpxuqaI1xCF5RTB1bYs3nCFiQwutoSmoqICoaGhFs/bSgYQEfEEUVhOARyNDLaHN7LCANYNZ97UUWTw4L4DqVTK9zkTp2uKeANRWIYxzo4MtoU3ssKGE/7695i7IsXpmiLeQhSWYYr1yGBXFwNvucJ8NT5xKsAJh6O4mjhdU0QIRGEZZpi3ZfGkI7G3LBaGYdDS0oJjx44hICAAERERiIiIQFhYmLhADRKuWK3idE0RdxCFZRghxNwUDm/FWMrLy9HY2Ij09HQAQEdHBxobG2EymRAeHs4LTUhIiLhACQz3fXoy+mCg6ZrmQiNO1zx1EYVlmODuyGB7CO0K4yrFVSoVZs+eDblcDpqmkZiYCIZhoFar0dHRgY6ODtTW1gIALzIREREIDAz0mQXKX915ngqLNc4IjThd89REFBY/h7NSuKweoaqshXSFtbS0oLCwEACQnZ2NwMBA3pXCvVdwcDCCg4ORkpICmqbR29sLlUqF1tZWVFRUQCqVIiIiApGRkYiIiEBAQIAg53YqIbSwWOOs0IgjAoY/orD4MZyolJWVQa/XY+LEiYLdpEK4wmiaxvHjx1FfX4+JEyeisLDQ6VTn0NBQhIaGIjU1FRRFobu7GyqVCg0NDSgtLeXjM5GRkQgPD4dcLvfoXE8FvC0s1ojTNU9dRGHxU6xrU4SuaPfUYtFqtcjPzwdN05gzZw6CgoJQWFjo1jElEgnvEgMAk8mEzs5OdHR0oKamBr29vQgODuZfEx4eDqlUvLStGWxhMUecrnlqId59foat2hShA+2AZzGWlpYWFBUVIT4+HuPGjeMXE6Hca1KpFNHR0YiOjgYAGAwGPj5TXl4OnU6H0NBQMePMiqEUFmvE6ZrDG1FY/Ajr2hTzdFAhA+2Ae64wmqZRXl6Ouro6ZGZmIjEx0eJ5by0IcrkccXFxiIuLA8BaS5zQeCvjzB8XN19OOnBmuibDMOju7kZsbCwvNmLnZt9EFBY/wDwIyrm8vNninjumKwuRVqtFQUEBKIrC7NmzERwc7PEx3UWpVEKpVPIZZxqNBiqVyi8yzryJrWvHV7ElNDqdDoWFhZg7d67Fpkqcrul7iMLi41jXpthaGLxhsbgiVpzrKy4uDuPHj7fbC2woZrAQBIGgoCAEBQUhJSUFDMOgp6fHZsYZlwwwXDPO/LmztHkbGrlcLk7X9HFEYfFhnK1N8VaMZaBjDuT6snfModw1EwRhkXFG0zS6urrQ0dGBpqYmlJWVWXQEiIiIGDYZZ/4sLAB7vVn3OQPsT9cUhWboEIXFB3E0MtgWQxFj4VxfJpPJruvLmqGwWAaCJEm7GWe1tbU4evRov4wzX/sbnMVfz5uDuxds4UhoxOmag48oLD6GO21ZBjvG0traisLCwgFdX64c01dwJuOMW5wCAgL8KuPM3y0WbjidM1hbxY6ma4pCIzyisPgQzowMtsVgpRu76vqyha8LizW2Ms7y8/NhMBhw9OhRmEwmhIWF8R0BfLnHmb8LC+cSdgd7nZvNp2vacp35S7KDryEKiw/gyshgWwyGK8wd15c15haLv96sSqUSCoUCCQkJiI+Ph0ajQUdHB1QqFZ9xxqU2R0ZG+lTGmb8LiysWy0DYExpbQ89EoXEdUViGGJqmYTKZPOpI7G1XmLuuL1vHHE6YZ5wlJyfzGWcdHR1oa2tDZWWlRcZZREQElErlkJ2vvwuLoxiLp7giNOJ0zYERhWWIGKg2xRW8lW5MURTKyso8cn1ZH5M7T39ziTmDecbZyJEjfS7jbDgIy2D2OXMkNIA4XdMRorAMAdZtWTw1r70RY+FaarS2trrt+rLGnxc1a5xtpulqxpk3e5wNB2EZqoXbntBwnZsBUWjMEYVlkDGvTTG/UD1BaIuFc30BwKxZswRb7PwhK8yb2Mo46+zshEql4jPOQkJC+ESA0NBQt92OthCFRThsCc1A0zVPJaERhWWQ4KyUEydOICYmRtARrkLFWGiaRkVFBWprazF27FiUlJQIeiOc6sJijVwuR2xsLGJjYwGww9C4RACux1lYWBifCOBpxpkoLN6Di79wDDRdc7iPcRaFZRAwH8ZVWFiI+fPnQyaTCXZ8IVxhOp0OBQUFMBqN/ITHkpISQW/m4SIs3vobAgICkJCQgISEBL7HGVdDU1dXB8CzjDN/FxYhs8K8jT2hUavVyM/PR05ODi8ww3G6pigsXsa8NoW70LyVGuzuwsG5vmJjYzFhwgRIJBI+/iP0IjochGUwcJRx1t7e7lbGmb8Liy9bLAPBCQ1BENDpdJBKpRYxGlvFmv4sNKKweAl7tSkSicQrwgLAQrycwdz1NWHCBCQlJfHPcRe0kEJgbln56w0zVDiTcaZQKPj4jK2Ms+EgLP58/gBb5Gkda3Fm6JnBYEBgYKCgMTdvIgqLF3DUlsVbqcHc+zqLtevLOuuLO6bQ5ypaLMLgTMZZUFAQLzRcjzN/Xphd3Tj5IpywmGPe4wywLTRLlizBTTfdhBtuuGFwT9hNRGERGOuRwYPR4t7cYnEGc9fX+PHjbWZ9ecNiGS4xFl/EmYyzgIAA0DSNjo4OwTPOBoPhZLE4wpbQqNVqQVL+BwtRWATC1shgWzfBUAqLuetr/PjxSE5OtvtaLotFaGGx9f8iwmMr46yqqgoqlcqix5lQGWeDwXCwWNyNE4nCcgpiPTLY0YXjLVfYQCnH5q6vWbNmISQkxKnjCnmuw8li8fVF2BquE7PBYMCUKVMcZpxFREQgKCjI5/5GmqYFzaYcCpyxWGwhCssphHmuurMdib0RvAcci0BbWxsKCwsRHR2NadOmOV3w6A2LZbgIiz9i3jpI6IyzwcCfs8I4PBGWoKAgL5yRdxCFxU3cmZsC9PXgEhpbtSw0TaOyshI1NTUDur6cPaYnWAuLKDKDi73gvRAZZ4N1/qeisHAxFme8DL6CKCxu4OzIYFt4y2KxdrFxri+DweC068sab1osGo0GOp0OoaGhPudyGc642+Osq6uLHw1gK+PMmz3OOE5Vi0Wv14OiKFFYhiuujgy2hTdiLIClK8xd15ejYwp1jgzDoLGxEUePHgXDMLzLhVukAgICBHs/b+Gvlpa76cZSqRRRUVGIiooC0JdxZj5VMyQkhBejsLAwrwTZh0NWmDviqFarAUB0hQ1H3HV9WeMtYSFJEhRFoby83G3Xl61jCrmIMgyDkydPQq1WY9KkSQgJCUFvby86OjrQ0NCA0tJSKJVKREZGIjIyctB2wqcKQi3M9nqcdXR04NixYxYZZ9xUTSEsjVPVYunt7QVBEAgMDPTSWQmPeNc6wUC1Ka7gLWEBgLKyMtA07bbryxohXWFarRYqlQokSfK9yIxGI7/4pKWlwWg09qu9CA0Ntej26+8Ly1DirQLJgXqcMQxjkQjgbsbZcBEWVzPbuIwwf7LWRGFxgLO1Ka7gDWFpa2uDTqdDREQEsrOzBW1zL8S5trW1oaCgADKZDAkJCQgMDOQ/U3NkMhliYmIQExMDgBUjrtvviRMnQNM0vzgN9dhff7rJzfH2edvKOOvt7YVKpfI442y4CIur7l4uI8yfrjlRWOxgXZsi1KxriUQiWFYYwzCoqKhATU0NFAoFUlJSBHUdeeoKYxgGVVVVqKqqwvjx49HR0eHS7yuVSiiVSiQmJlosUNzYX5lMxotMZGTkkGQq+RND0dKFIAiEhIQgJCSEzzjr7u6GSqWyyDgzj7PZ+x6HQ1aYuzEWf3KDAaKw9IOLpfT09PA7YiFvRqEsFp1Oh8LCQuj1esyaNQtHjx4V4Ows8cQVZjAYUFRUhN7eXsycOROhoaHo7Oy0OLar52K+QFEUxWcq1dfX49ixY/w0Ri4+4+9V2kLjC73CSJJEeHg4wsPDAfRlnFn3ODO3aLjN0nCxWNyJsYgWix/DiYpKpUJubi7OOusswb9MLsjuCe3t7SgoKEB0dDTv+vJWRb87x+zq6kJ+fj5CQkIwZ84c3qcsZMxGIpHwlgrAChnnNisrK4Ner0dYWBj/Gn9oWeJtfEFYrLHOODMajXx8prKyElqtls84s+U+9TfcERZ/q7oHRGHhMa9NkUqlXkttJEmSH13qKuaur/HjxyMpKYk/R6FTgwHXXWEMw+DEiRMoLS3F6NGjMWrUqH79wbyVqiuXyxEXF4e4uDgwDMMnC5i3LDF3m/lCJflg44vCYo1MJrObcWY0GpGfn2/RekaojLPBwl1hEV1hfoat2hQuDuKNG9Fdy0Kv16OgoIB3fVlnfQmdGgy4JgQUReHYsWNobW1FdnY2vwO1dzxvLnBcamZgYCCSk5NB0zR6enqgUqlw8uRJHD9+nK8k5/z6/t6Dyhn8MUZhnnHW0tKCzMxM6PV6wTPOBgt3YyyixeJH2KtNMW9X7QuuMM71FRUVZTfrayhdYdy4VYlEgjlz5jjMehmK4kKSJBEWFoawsDCMGjXKYnZJdXU1iouLERISwgtNWFiYw5v/VCuQ9BUYhkFQUBBiYmLsZpxJJBKLRABfs0xFV9gwx3xksHUaMbeocC1bhMSVli4Mw6CyshLV1dX9XF/WeKsd/0CL6MmTJ1FUVISkpCRkZGQ4/LyshWqoFjnr2SV6vZ53m3Et5cPDw3mh8fVdsLP4s7Bwo7fNry9XMs44sRnqzEFRWIYp9kYGm8N98e4UMw2EswLAub50Op1TBY/eiLE4coXRNI3y8nLU1dVh4sSJSEhI8Oh4Q4lCobAo8FOr1XwiQHV1NUiStHCb+Sv+LCzOjqQwzzijKIq3TLnMQXsZZ4OFu8ISFhbmpTPyDqeUsNA0DZPJNGBbFu7xwWgWaQtnXF+2jjtYMRZO9AwGg82xxq4ez5cgCALBwcEIDg5GSkqKRadfru0MQRBoamoCQRBDsji5i69/9o7gzt0VD4JEInE648ybPc44aJoGwzAuv4dGo0FSUpKXzso7+Mcd4SHmc1PMZ1I4Qoi0YHvHtScs5q6vcePGITk52ekd5mDFWDo6OpCfn4/IyEiXq/z9cbds3umXaztz6NAh/rvSarUIDQ3lXS2+3HZmuFssA+Eo46ykpARGo9GihZDQGWfu/g1cHYs/MeyFxboti7MFj4PV3p5Dr9ejsLAQWq2WLyh0BW+nGzMMg9raWpSXl2Ps2LEYMWKEW0WO/rxrBtjFSSaTISkpCTExMRZtZxoaGnyq7Yw1/pgVxmHeAUMorHucWaeoMwzDx9qEyDjjNqruWCyisPgQ5rUpBEG4dFN502KxPm57ezsKCwsRGRmJrKwst1wr3jhfTghMJhOKi4vR0dGBnJwct+MMw0FYrPGntjP+brEI3QXDHOsUde67NJ+qyWWccd+nqxln7qxDgBi89xmEmJsiZE8v6+Nyuy9PXF/WeFJ4aQ+CIKDT6bBv3z4EBATgtNNO82hhHI7CYo6vt53xd2EZTGvL/LscMWIEn3HW0dGB5uZmvhbKPBFAoVA4PCZN06fEvHtgGAqLUHNTvO0K89T1Ze+4QsK5BtLS0jBmzBiPF6XhLizW+FrbGX/+7Ie6T5h5xtmoUaMGzDgLDw/vl1HqTvkCN4bAn6ZHAsNMWBzVpriKN11hJpMJe/fuRUREhNuuL1vHFUpYaJpGaWkpOjo6EBMTg/T0dEGOO1yExd2/YajbzvizxeJr8SF3Ms7cSTUGxOD9kOFMbYqreMMVxvXSomkaY8aM8cj1ZY1Qi7ZWq0V+fj4YhkFCQoLgrprhICxCMBRtZ/xZWIbaYhkI64wz86JbLuNMqVTy7lFXMs5EV9gQIJTryxqhXWGc60uj0QCAoKICCGOxcAO54uLiMH78eFRUVAjaUXa4WCzewJW2M5yrxR23iigsg4N10a1Wq0VNTQ3a2tpQWFgImqadyjjjCnZFYRlEhBwZbI2QrjCVSoWCggJERERg+vTp2LVrl0s3eU8PkJtL4PBhEiUlBHQ6QK8HDAZAryeg1wNqdQrU6kRIJDIYDAQoCkhKYjBqVN9Pair738REwPwetR7IlZyczH8GQgqBvy5qQ4GttjNcfIabK2++MDkzutbfhcVfz52zTsPDw6HX6zF16lQ+40ylUqGqqsqiXorrcUYQBLRaLRiGEWMsgwHDMNDpdKiurkZqaqrgogII4wozX7AzMjKQkpLCH9NeIM9gAIqLCRw+TODQIRKHDxMoLSXAMAP9ff0bP9bXE9i/v/8rFQoGI0eyIjN6NIWUlGpkZDRj7lzLJAKha2OGk8Uy2IucQqFAfHw84uPj+YCuSqXq13aGi9HYagTq78LiTxaLLbgYi6OMM3M36K+//oqoqCiEhIR4JcbyzDPP4OGHH8bdd9+NDRs2AGCvkccffxxvvfUWOjo6MHPmTLz++uvIzMx06dh+JyxcbYrRaER5eTlGjhzplZvFU1eYvawv7uboSzkGDhwg8OWXJA4dIlFQQECv9+7Nr9cTOH6cwPHjACABMA4SSQamT2ewYAGNBQtoTJ/OCC4Ew0lYhhLzufJc2xmu+WJjYyPKysqgVCp5oeHazojCMrTYC97byzj79ttvsWXLFvT09GDGjBlYsGABFixYgPnz53vcO+zQoUN46623MHnyZIvHn3/+ebz88sv44IMPMHbsWKxfvx7nnHMOysrKXLKa/EZYzNuy0DTNZ1KZTCav9GryxBVm7vqyzvribmytlsbXX5PYtEmCw4eH/oahKAL79xPYv5/EU08BISEMpk9PQXZ2OwIDCYwZw8DTNUkUFu9gvjClpaXBZDLxbhbztjM6nQ4ajcYvF2lXzplhAJWKQFMT+9PcTKCpieT/3dREormZQFsbgdGjacyaRWHmTAqzZ1MYNcrz69wezmaFcRlnzz//PIqKinDuuefiiSeewF9//YUHH3wQ9913H1asWOH2efT29mLZsmV4++23sX79ev5xhmGwYcMGrF27FkuXLgUAbNmyBXFxcfj0009x6623Ov0efiEs9gL0BEF4JSUYYL9cVwPXtlxf1jvEkycJfP75ONxySyhaWly7uZOTGYSGMtBoCPT2srEX7nGFwgSDQQeJJBhqNQG1GlCrAYOBfX+SZBAfDzQ2OhvXIfDnnyH4888QvPgiMHEijRtuoPGf/1D4tyzDZURhGRykUiliYmIQExMDgO2JpVKpUF5ejtraWtTW1vps2xl7DCQsJ08S+P13CbZvl+LPP6Xo6nLu7yktlaC0VIIPPmD/HRvLCs2sWRQWLzZh9Gjhrld3CiS5wP3SpUtx6aWXAvA8s3LlypU4//zzcfbZZ1sIS3V1NZqbm7Fw4UL+MYVCgTPOOAN79+4dXsJi3pbFOpYilUq9JiyuWiwGgwEFBQV2Cx6PHCHw2msSfPUVCaMxY8DjhYQwSEpiYyGtrazr6sQJAkD/G6aykgAg//fHNjRNoLGx798KBeOSy624mMR//0vi4YcluOQSGitWUJg3z7XdnSgsQ0NAQAASExNRV1eHMWPGQKFQ+GzbGXtY17HQNHDkCInt26XYvl2KvLz+C3Z0NI2EBAbx8QwSEuh//8sgMZH9//BwBseOSbB/vwT79kmQn0+ipYXE99+T+P57GR5/nMHHH2uxaJEwa4w7YzjUanW/+Ionm4CtW7ciNzcXhw4d6vdcc3MzACAuLs7i8bi4ONTW1rr0Pj4rLM60ZfFW2xXu2M7GWOy5vhgG+O47Ehs2SLB//8DWyaxZNLRaoKGBNdNLSwmUlnr0Z9jF3TiOXk9g61YJtm6VYMwY1oq55hoKVteiTYaLsPjr38Atzr7cdsYeNE2jt1eGr75iheT33yVoa7O8p7KyKCxcaMLChSZMmULDGX0cNcqE889nPRM6HZCXxwrNjz9KceiQBFdfrcQHH+iwZInnafcURTmcrmoLTliEsCjr6+tx9913Y/v27Q7Pw/q93InN+aSwOFub4m1hGejYjlxfKhWwapUU33zj+Ka86SYKajWQn084JT6+REUFibVrSTz2mARLltC45x4KM2Y4XnTNuyWbTCaf3B0PV2wtEPbaznR0dAxJ2xlrVCrgs89k+OKLUSgoCAJN9713aCiDBQtYITn7bApxcZ4JfkAAMHs2G2tZtcqAm28OwDffyLB8eQDeekuHyy/3TFyGenrkkSNH0NLSgmnTplmc065du/Daa6+hrKwMAGu5mA/ua2lp6WfFDITPCYsrtSneFJaBXGEGgwGFhYVQq9WYMWOGRZbGzp0EbrxRhoYG++c+f74ORqMc77wz9LtBTzGZCGzbJsG2bRIsWkThf/+jMH16/5ucq4sxmUwoKirCyZMnERwczC9a7hT9iTiPMztPV9rOREREIDAw0AvnCRw8SOLdd+XYtk1qYV2PH09h0SITFi5kA+4CD3jlkcmAd9/VISAA+PRTGW66KQA6nQ7XXuu+uLgrLEKlGi9YsABFRUUWj91www0YN24cHnjgAaSlpSE+Ph47duxAVlYWAHad+/vvv/Hcc8+59F4+IyzWc1OcqU0ZKlcY5/oKDw/HnDlzeL+pwQCsWyfBK69I7NadTJ1K4/hxGjt3umYS+wu//SbBb79JsHgxKzDTplkKDEVR2L9/P2QyGaZPnw61Wm1R9Gfu6/eHoLI/4apLw1YreVv1FkK1nenuBj7/XIb33pPh6NG+BXjyZAqLFjXgjDO6cfrpI90+vqtIJMCmTToolQzefVeOlSuVCA7W4pJL3BMXd7LxhOwTFhISgokTJ1o8FhQUhKioKP7x1atX4+mnn0Z6ejrS09Px9NNPIzAwEFdffbVL7+UTwmKeRgy4NoxrMF1hDMOguroalZWV/YZdlZURuO46KfLzbV84S5ZQqKoi/n1++O/Kf/lFgl9+keD881mBycpiFyWNRoPU1FSMGTMGFEUhJCSEL/rjRMY8qBwVFSVYrywh8UfB87SOhSAIvu1MamoqTCYTH5/xpO1Mfj6J996T4csvZVCr2fNTKhlceqkJK1YYMG0ajbKyk0Py/ZMk8PLLejAM8N57crz7rsxtYRlqV5gz3H///dBqtbjjjjv4Asnt27e7XPk/pMLizshgcwbTFWbP9cUwwDvvkLj/fim02v7nfvHFrLn+9dekhX/YXSZMoDFhAgOjEejoIFBdTaCrC+juHvjYISEMgoIAhQKorR2chfGnnyT46ScJzjqrG0uXtmD0aAXGjRsHmqZBUZTF987Nmh8xYgRfJMYtWkePHuUXLa4aWXSbuYbQBZJSqdSiw68rbWfUauCbb6R49105cnP7FtuMDAorVhhx1VVGmM+TG8raG4IAbr/diPfek+PgQQn0evYechV3hMXb0yN37txp8W+CILBu3TqsW7fOo+MOmbBYB+jdmQ43WK4wbs67teurtRW47TYpfvqp/8UyciSD66+n8NZbEjQ1uX8zjxjBYNo0Gmo1ge3bSRw7RuLYMfeO1dND8LUvg82ff4Zi5875WLq0Fjk5QFCQ44XOui05V4uhUqlw4sQJAN5tMT8c8XblvTNtZ7q7E/HTTyPx/fdh6O5mhUIuZ3DhhSbceKMRc+ZQNlPYh7pt/tixNGJiaLS2kjhyRII5c1xfd9wRlt7eXv4e8CeGRFg4UTGZTB71+XKniNHVY1dVVdl0fTU3A2edJUdVVf9znzGDhkwGPP64ex/vLbdQoGlgyxYSdXUE6ur8P8APsLU0X32Vin37GDz7rBEXXACn62C4WgxuBHBPTw/a29v5aX5cCxMuCcAb3RiGA4PlwrNuO3PkCIHnnyfx669KPv6YmKjBZZepcM01JowZE+bwO6NpGgxDoqGBredqaOD+n0RVFYkTJwhMm0YhI4PGmDHsT2oqI1hwnyCAefMofPMNiX/+cU9Y3C2QHDly8OJKQjEkdx93cXvaPNKbFgtFUaAoCvX19f2yvjo7gQsvlNkUlWnTaOTnE3zFuyssW0bht99IvPXW8BASezQ0ELj2Wjnmzyfwwgt6ZGS4liZKEARCQ0MRGhrKt5jnXDDHjx+3SJGNiopyqvPvqcBg9wpjGGDPHglefFGOP//sW2rOO8+IG2/UYfLkVnR2shlnu3ezbWc4KzQ0NBRNTRL89ZcE774rx5EjcwZ8P/OAP0d6OoXbbzdixQojPDV4TjuNwjffyPDPPxLcf7/rv+/OBElvu8K8xZBt64RoyS6RSASf8w6wrq+8vDwAwOzZsy1qLbRa4NJLZSgs7H+BLF7MCgNNEyBJxqmYSkgIg2uuobF5swSffOKZoMTEaBAXp4BGQ0KjYVu+cMFQX2TnThmmT5dhzRo97rvPAHfvH+sWJuYumNraWr7zL/cz0Gzy4cpgCQvDANu3S/DSS3Ls388uMRIJg8svN2HNGgPGjeOyLWMQF9fXdubEiQ7s2EHhiy8UOHTIsyaLHOXlEqxZI8G2bVJs3KhDWpr7a868eewm9sABCQwGOFWAycFaXMyQphsPJn7tLxC6pYt51ldaWhrKy8stdhgmE3DttVLs2dNfVK66isLWrX0XzUCiEh9vwDXXkHjxRSk2b3b+YpswgcacORp0dzeDJEMgk0Whqoqd09LaGojWVkfvyc5kCQ5mBbK9HSgtHfoA+MsvK/DVVzK8+aYOp53m+fdpPZmxu7sb7e3tOHHiBEpKSixqZ8LCwly+2f2x8p5hGK8LC0UB330nxUsvyVFUxH6mCgWDa64x4u67DUhN7f+5lZWRePttGd56KwRAjMPjz5/fgqwsEiNGKBAfL0V0NI2oKAZRUQxCQoDychK5uSTy8iQ4coT94di9W4qpU4Px7LM63Habe9ZLRgaN6GgabW0k8vJIzJzpfPdzbp3y9awwofBrYRHSFWYwGFBUVITe3l7MmDEDwcHBKC8vt2hvf/vtUvz4Y/8L4/rrKXzwgfMXzJ13NmLjxkS8+KJzr7/sMraquLqawOHDNN55JxjAGKffj6O5me30aou0NAaJiQwqKuy/xpvU1ZFYvDgQd91lwCOP6N3KurGFeeff0aNH85Xlp2rtjDf+NoMB+PxzKV5+WYHKSnbFDg5mcOONRqxcaUB8vKWgdHQA778vx7p1rn3JO3fGwiqJiWfFCgMefVSPZctoLFvGxl2NRuDNN2V4+OG+mrEHHwzA4cMSvPeezqX3Btg4S2Qkg7Y22MwAdQS3jojC4mWEGh8shLB0dHSgoKAAYWFhfNYXtyvljv/wwxJ89JHlRZGWxmD+fBrvvefcxTJjBo3AQGDjxsQBX3vTTRTGj2dw5AiB774jzVxa7HsFBbEpx0YjnBgCNjBVVYRFzCgpiYFez/Trx+RtXn1Vjj/+kODtt3WYOFG4IWMc1pXlXO1Me3s7Xztj7jbzpdoZT+CuZyGFRaMBtmyR4dVX5WhoYK+T8HAGt99uwK23Giy6YJtMwK+/SnHDDQFemTf03ntyvPce65t69FEd1qwxQiYDVq0yIjubxnXXBeDkSfYcv/pKhlWrDMjOdu36Yhigvp49RkqKa79rq4nuwO/HZtaJwjLIeCosDMOgpqYGFRUVSE9PtxgaRhAEX8vy0ksSvPKK5UeVnk5j1izGaVG5804TNm4c+ON++GETenuBL7+U4J13+i7CgAATCIKAyUTCaCS8Hjth29Gw7xEdzSAsjOF3o97m6FEJ5swJwhNP6HHnnQZ4qweirdqZrq4utLe3o6amBkePHkVoaCgvMqGhobxr1N+sGiGFRasF3nlHhldekfMbj/h4GnfeacD11xthXktXUkLi7rsVfKxlMHjiiQA88UQADhw4jpEjwzBnTiD++UeDa65R4sAB9mJ6+WU5Pv7YNaulvZ3gLZXkZNfcoe4E7gHRYhkSPBEWa9eXrYlsEokEH38sx9q1/T+m+Hj0s2Dscf/9Jjz/vOOP+oEHTGhsJPDMM33tYEJCGCiVFFpapNDphu6ramtjuy0DQEwM28Z/MHj0UQV+/VWCN9/UYeRI78c1rBsy6vV6PgmgqKgINE0jMjISRqMRer3e6+cjJEIIi17PWigvvihHczO7SKam0li92oCrrzaCa5ir0QCvvy7Hk08OXpLEf/+rx0svWb7fzJlj8eGHvyI2lkBkZCT+9794LFmSAgD4/nsZSkvNEwkGpq6O/ezi42mXXbXu1LAAorC4jFCuMHfqWGy5vmxRUhKJ++/v/6WOH09j9+6Bdx9TptAYM4ZxKCo33UQhNZXBiy9K0NnJfiZpaQwoikFtLYmeHt/SfnNRUSgo6PXeTY3eu1eKefOC8M47Wixc6J3UcnsoFAokJCQgISGBr53h3GYlJSWoqanhU5p9vXbGE2ExmYDPPpPiuecUqKtjr/sRI2g8+KAeV11lAvdnNzYSuPPOAOzYMfifw0svKRAXR+ORRwxYtaovprJ8+bnYu7ceEkkrAgLKkJ4ejPJytqT/2WcZvPuu8wt+nxvM9U2OO8JC07QoLEOBqxaLI9eXNSYTsGlTZr/srrlzafzzD/nv+zOgKNu/f889Jvz4I4mvv7Z9MSUm6vDKKxKsXy/hOxzHxjLo6sK/sQ7fd7Xo9RIQBIOoKPAWjTfo7CRw2WWBeOABPR580HuuMUeY1840Nzdj9OjRAMBPZtTpdEPaXn4g3BEWmga+/lqKp5/uC8rHx9O47z4DrrvOyKfbHjpE4vzzA6HTef73rlunx2mnmUBRBIKCGKSm0ggLA3bt2oWsrCy+Z1VXF7Btmwx33dUnIidPkli1KgA//qjBBRf0dV1+9NEEfPNNOADgjjuAe+5hH//220AsW/YLYmL66mcc1TzV17OPuxpfAdwrjtRoNAAgCstg44qwmLu+pk+fjvDwcIevf+stElVVlo3XMjNplJb2XXT2ROXSS6l+MRlzli3rxMmTRlx5JZteGRLCIDZ28GIYQsIwBNra2P+XShmYTN5bTJ97ToEjRyR4+20thrrLBec242pnuPbyvlo744qwMAzw009SrF8vx7Fj7GIYFUVjzRoDbrrJCKWSTS3eskWGO+/0rEu3db0Xmylm67M6H+edp8OVVzK46CITwsKA66834vrrjairIzBxYt/ie8EFgfjrLzXOPJOt//j9dylfd3LllcADDzAwGAjQNInMzBxQVDtUKhVqamr4740TGvOBWObWmqu4E2NRq9UARGFxCaFcYVzhkaPjca6v0NBQh64vjpMnbbdjCQ8Hjh51fN6zZ9P44Qf7F9CLL5qwaVMgqqrkIAgGEycyKCoi0dPjO7tbd/GmqHD8/rsUZ5wRhI8+0iIrS/isMXdRKpVISkpCUlISXzujUqnQ0NCAkpISBAUF8W4zd2pnPMWZ2huGAX7/XYL16xX8qN+wMAZ33WXAbbcZEBLCFt3eeacCW7YIM6DNlcasP/8cgJ9/Zv//++81mD+f3VSOGMGgubkH8fF9G8HPPpMhO5viG1y++qoc995rQHAwMHEizT8ukwUhMTEQKSkpFt9bY2MjysrKoFQqeZGpq0sGMHiuMLVaDZlMNuSbEnfwe4sFYL80W/5tV1xf5vzvf1J0dVm+7pZbqAFbrcTHM2hpgd12Lu+9Z8RDD0lx8qQUwcFGpKZKUFTkf1aKM3jTeqmrI7FgQSA2btTxNQuDyUCLtHntTFpaGoxGI2/NlJSUwGg08l1/IyMjBRs9O9A5O2r0+s8/Ejz5pBz79rH3UVAQmzZ8550GRESwsbUrrgjAnj2+sWRceGEgzjnHhA8+0CIkBAgMBFSqHkRGsuLy1ltyHD6sRk4Oa7U88YQC995rAMC6uTnMG3dYf2/mrYIqKytRUBADQA6ZrBGdnTKLLMGB8GTIly+5VJ3FN64SN+HExJawcK6vnp4ep1xfHPv3E/2yve6/34SNGwe+KMaNY7Bzp+0LbcsWI1aulKK3l0BMDIXWVhmKi506Jb+EExVvCYzJROD225WoqNDjkUcMHveB8iYymcyidsa85UxVVdWg1M7Ys+rz8kisW6fAX3+x949CweDmm41Ys8aA6GgGDQ0EFi5UoqzM9/rX7dghxdq1Crz6KpuhJ5UCl19uxJdfsp/fxx9brgkUxQ7vMhcTg8H+8c1bBZWUkGhoCIJMxiAjox1FRa2gadpig+CouNbdzsbemNA5GPi1K4zbgVnHWTo7O5Gfn8+7vpydq05RwOrVlh/JrFlq/P67csBKW3sWTUoKg4ceMuHGG6UwmQiMHMmgttb3blJv4W332EsvKVBdTWLzZh38oXO+dddfrnaGi81Yz51xZVfsCGthKS8n8NRTCnzzDbsIy2QMli834r77DEhMZFBZSWD69CC0t/uwYgP44AM5LrrIhAUL2DXg+ed1vLBs2GDpQuIMTaOx73NwttXgV1+x68LZZ1OYPXscGCYDvb296OjosCiuNR/bbO7CcrezsT/GVwA/t1gIgrAI4Lvr+uJ45x2y3wTIiAgTfvnF8c31zDMmPPSQ7Y9y2TIKd9zBXugTJtA4dsy3b1Rv4mxjTlf55hsZ6utJbN2qRUyMf/XxcqZ2xrrljDtwwtLUROC55+TYskUGiiJAEAyuvNKEhx/WIzWVwdGjJMaNG7rFLCqKxogRDCgKKCx0biG+5JJAnDjRg9BQOEzq4Jwa5mLCJuA4vmYYhq3WB4DLLmN/mSAIhISEICQkxKK4tqOjA/X19Th27BgfV+Nqn0RX2CBBEIQgHY4pioLBYEBxcTG6u7tdcn1xtLYCjz1m+XEkJ+vw22+hDn/v8cfti8qTT5rwyCPsc9On0zh06NQVFaAvUOsoTdtdDh2S4KyzAvHll1qXit7cxVs3u3XtTG9vL9rb29HS0oLy8nIEBARYzJh3tnamowPYsmUcfvwxiLe+Fy0y4bHH9Jg4kcbBgyQmTx763XF7O4n2duDMM0144w0ttm+X4rvvpANeL7/8IsWVVzoXb6ut7bsPU1MHvlZyc0lUV5MIDGRw3nm238N8gzB69GgYjUY+PlNWVgadTgeFQsG7PZ1JR/fXzsaAn1ssAPuFdnV1ueX6MueRR6R8gSIHwxAOd9jR0QzWr7e9C9m0yYh772U/3sxMUVTMEVpUOGprSZxzDisus2YNbjGlNzDfFXMz5rlxzZWVldBqtXzLGW5cs/VipdUCb74px0svxaGri70GZ86k8PjjesyZQ+HAARKhoa7NMx8M/vpLin37JHj4YQMWLOjCypXhDl9//Lhz91dLS9/nk5FBIcCJbOmvv2atlcWLTU6PdpDJZIiNjUVsbCwAID8/HyRJoqenB3V1dQBg4TZTKpX9vjtRWIYIhmFAURTKysqQnp6O1NRUt3aSlZXo15143DgapaWO0/wuvNB2A8r1603YsEECjYZAUhLrXhAZHLq6CCxZosSnn2pxzjn+Ly7mSKVSREdHIzo6GoBl7Ux9fT0IgjAblBWJr74KwTPPyNHUxF5/I0f24PnnJTj3XAp5eb4pKObodAQefVSBF1/U4rrrSrFlyzi7r9292zk3019/9b3uoosGtnBoGvjmG3aZvPxy92c/cfUxycnJFl0cTp48iePHj0OhUFjUz8hkMvT29vptjGVIVzxP3AlGoxF5eXkwGAwYNWoURo0a5fbxPv20/0UZEeH4d849l7IpKosXUygoIHD8OImICObfZo4ijggMFDYuotcTuPTSQD7gKjS+Mo+Fq52ZNGkS5s6di8mTJ0OpDMRnnxmRk6PEXXcFoKmJRFKSCS+91IbXX9+DlBQGYWEhmD/ff3bC69eH4txzT2D0aPtuK2ebXP7xR9/r5s4deOOxd68EjY0kwsMZPkHAHcwLJLkuDqmpqcjOzsbpp5+OjIwMSCQS1NTU4KOPPkJOTg727NkDtVoNnc71Fv/WbN68GZMnT+a7R8yePRu//PIL/zzDMFi3bh0SExOhVCoxf/58HD161O3380uLhcv6CgkJQXh4uEV1rKswDPDZZ5YCMW0ajSNHHAuCeWaJOQsWMLj3XimkUraBZEfH4H7EJMng0ktpjBzJgGEAnQ7o6SHQ2wt0dxOQyRiEhQEGgx61tb2oqwtHa6swxW7uotEQXom7rFihRFeXDjfeKPyUUV+DJEnk5UXisccS+OLGiAgKN9zQgDPOKEF9vQwXXHDuEJ+le3R2kvjwwwyceaYJlZXuXauZmRQYBti6tS+Ve8aMgYWC25wsWWL0aEaQo3RjiUSCqKgoRP2becDV0Hz55ZcoLi5GREQE5s2bh3POOQerV692Kx09OTkZzz77LMaMYec4bdmyBRdddBHy8vKQmZmJ559/Hi+//DI++OADjB07FuvXr8c555yDsrIyvo2OK/iVsDAMg9raWpSXl2PMmDFITU1Ffn6+R63zDxwg+s2uT01lcOSIfWNu1SoTXnut/0f36qtG/Pe/7OPp6TqUlAxO/usDD7C+3x9/1OLgwRB8+aUzboHAf3/6mDCBRmgosH//4Buy3oq73HNPALq6CKxZ46Bgwc+xrkUJDmawapUBq1YZ0NoaiRkzFtrdCPkLe/bEYfNmCu+8Y/t5hYK1Iu0Zk6tWGSwyMrOyKAyUYGc0At9+y36ml13mWSGuK3UsMTExuOWWW1BcXIx58+ZhxYoV2LFjB/Lz891udLpkyRKLfz/11FPYvHkz9u/fjwkTJmDDhg1Yu3Ytli5dCoAVnri4OHz66ae49dZbXX6/Ic8Kcxaj0YiioiJ0d3cjJycHEf/6qjydyWJtrcyYQePvvx0vrLZcZ9Ons3PrjUYCqakalJR4t7DpggsonHMOjW3bJHjuOe5r9Mxnbp0KPWUKjYKCwRcZmYwRdCFct04BigLuu294iUt5OYH16xXYtq2vFuXGG9laFK0WmDAhGN3d/i0oHN3dckREaOw+n5XFrgF5ebav16VLTXj77b6d/llnDSwUP/0khUpFIjaWxumnexavc6eOpbe3F2lpaRg/fjzGjx/v0fubQ1EUvvzyS6jVasyePRvV1dVobm7GwoUL+dcoFAqcccYZ2Lt3r1vC4hdR5c7OTuzZswcMw2DOnDm8qACezmQBvvrK8iOYMYN22Kn3kUdMUKn6P3/BBTRKSkgEBJhQU+M9UbnkEgqvvGLE3r0k7r5bZrfSXwjMRWUwUng5jEYCISHCxjGefFKBF14YWpefUDQ1Ebj7bgVmzAjCtm0yEASDq64yIjdXjdWrDZg9OxATJw4fUeGwJxoA+L5x99xj2y2uVFq6weylDXPQNPDss+z1ct11Ro87artTea/VagWtvC8qKkJwcDAUCgVuu+02bNu2DRMmTEBzczMAIC4uzuL1cXFx/HOu4tOuMFuuL2srxxNh2bGDRHt73/GSkxn8/rv9izcwkMGzz/a/OC6+mMIHH7AXdlgYAwFibTb58EMj1q+X8DvUwaS0lP1cAgMZaDTeX7B6eggEBDCCtGLnePJJBRgGuP9+/7RcOjqADRvkeOMNOV+Lcu65bC1KTAyDs88ORE2NX+wVAcDl77egwP7CPGUKZ7H0f82ZZ5pQVUWguJh9LjycwfTpjjdK27ZJceyYBGFhrFvRU9zpbix0VlhGRgby8/PR2dmJr7/+Gtdddx3+/vtv/nnrtXWg5r6O8FlXmD3XlzUSicTtaX6ffWb5RaelMdi1y/6Xf/75tM34RVpaA779dgSCg2mcPCn8ov/ooyaUlhJYvnzo568Phqhw6HTCB/XXr2cjsJ6Ky2BWQ2s0bC3KK6/I+VqrWbNMePxxA8aOpXHeeUqUlPhfmyCdjkBaGo2qKucWXEcx67FjaWjseMpefFGHDRvkFv92BEUBzzzDvn7VKsOAGaIDwZVFuFN5707g3B5yuZwP3ufk5ODQoUP4v//7PzzwwAMAgObmZiQkJPCvb2lp6WfFOItPbm+6urqwd+9em64va9ydItnVBfz4o+WfX1npeLGw7ngMAJdcUo+tW9mZHFFRwi82X39txHffkfjiC/9bOISAogjI5cK64davV+D114depAfCaAQ++ECGrKwgPPaYAp2dBCZMoPD55xp8/rkWDz6owKhRwX4pKhy23Mr20GrtP5eVReP++22nbUVGMvjggz5hufhix+vFl19Kcfy4BBERbIdnT+HS091t6eItGIaBXq/HqFGjEB8fjx07dvDPGQwG/P3335gzZ45bx/YpV5gzri9r3HWFbdtG9jPD29vtv37MGBrbt/fX4XHjgG3blAgLY1BbK6ywfP65EZdfLvVKfy2h8aaLzGAgIZNRMBqFW0AfeigAoaEMrr128NvuDwRFsYvbM8+wDTYBdrjUww/rcd55JixbpsSVV/rUres21t0u7BERYbBbq3LDDexU0Q8/7B9Du/9+Pd57r+/xhx/Ww1FjDpMJePZZVqDuvtuAUMcdnZyCW59cERauC7ZQrrCHH34YixcvRkpKCnp6erB161bs3LkTv/76KwiCwOrVq/H0008jPT0d6enpePrppxEYGIirr77arffzmavTaDSiuLgYXV1dDl1f1rgrLNbZYKmpDGpq7F/ks2czqKiwfOz889X49FN2+E9MDGPTonGXr74y4rLLfH9XzeFtF5nRKIFcztiddeMOK1cqERysxSWXuCYu3iqQZBjghx+keOopOW+FREfTuPdeA666yojbblPittv8oIWzDcLCaL6ljDvo9SQ6Omz//g03GLF3r+1F+667DEhO7nMnrVjhuKZp61YpqqpIREfTuOUWYWJx3PrkzgRJoYTl5MmTuPbaa9HU1ISwsDBMnjwZv/76K8455xwAwP333w+tVos77rgDHR0dmDlzJrZv3+62K84nYixcr6/g4GCXe325IywqFbBrl+UCFR7OwNGceWu3GQCkpSnw008EIiIYVFQI51X87jsjLrrIf0TFGqHThTkMBkLwY994YwCCg4e2/QvDADt2sJMb8/P7Asx3323A9dcbce+9Cjz4oGcjgIcaT0QFADQa+0vVlCk0wsL6L4Dx8TS+/bbvPrriCiNiY+1vCgwGdvw1ANxzDzttUgi4wL2rcTkhheXdd991+DxBEFi3bh3WrVsnyPsNaYyFc30dPHgQKSkpyM7OdrmBpDvCcvQoAYax/JIdve3cuRQ6OvpfFM3N7GNCTg798EMjbrnFZwxJt/BmMZ7RSAjaAsZkInDttUrk5g7NrbB7twSLFilx2WWByM+XIDiYwf3363HkiBq1tQRGjQrmmyCeygQG2r7H16zRWzSWNGfvXg3WrOm7OQfK7vr4Yxlqa0nExdGCdmtwp4aFoihotVqxV5g7tLe3o7q6Gjk5OUhLS3Mr08YdYSkt7f8+th7jSE7u6vfYkiUUH3PhBMZTLr6YwsaNEpw86fsxlaFEoyEQGiqcuGg0BC6/XNmvA4M3OXiQxIUXKnH++YHYv1+KgAB2tnxurhq9vQRGjw62CDif6mg0thfmFSuMSE+3vfgeOCDhXaczZlCYOtV+EoheD77Oac0aw4BV+a7gbkYYAL8VliHdGsfExGDu3LlutykA2I6vrgqLdYX5eedR+Pln+1+8rd3s9OkMfviBQHAwg95eYRakmTMZPPSQ/2b42EOpZAacwOkq3d0EwsMZp4O/A9HaSmLp0kD8/rsG0dEDi5a76cb5+SSeflqBX39lr3mZjMF117GjgN97T4axY31rIcnJoTBjBoXRo2mMHEkjOJg95/Z2AuXlJLZtk+Hw4aG5ZhcuNNndYOTm9iI7u++zfO01xynGH3wgQ0MDicREGjfcIGxvOVFYhuIEPBAVwD2LpaTEclFwlNGXmtqF48fD+z3e0sL+NzAQ6O116e1tsnWrEVddNTxdHlqtd5pMdnYSSEyk0djonuEdGGiy8N1XVZG44ooA/PSTVvAxx4cPk3j++T5BIUkGV19twn336fHNNzJMmOAbC0hKCo0VK4w480wTJk2iHdaOnHsuhTvvNOKdd2RYs2bwY0AvvaTDiBG2g8vcxEcAWLbM6LBzREsLO6YZAO691+DUjBZXcKc4Uq1W84PB/JEhFxZP4YTFlSpRa7eXo/rKyEg9amosH5s9m+YtHGdnZg/EF1/4ZEmRYHiryWRjI4lx4yiUlrq+a9ZopP0szsOHpbjmGi1eeaUNUVHsKGBPiiEPHCDx3HMK/P57n6BcdpkJ999vwJ9/SjBlytALyogRbObZBReYnLLWrLnpJiN++EHKN8EcDHJyOlFR0QGg/+f3559qnHVW327xqaccWyv338/WCE2ZQuH664XvhO2uxeLptTeU+ERWmCdwX5izATKVyjImEhDAOOzmK5f3v9H+8x8Kd90lg1zO2Azqu8pHHxlx7bX+uTPxBUpLJZg6leIzqswJCmKgVtv/jmy5MXfsiMXGjWqcf/4hyOVyREVFuTwKeN8+CZ59Vs4vthIJO1v+v//VY98+KXJyhn4eyqOP6vGf/xiRlOR5vGrmTGpQheWZZxpxzjkTbJyHCU8+2Rewf+EFHSIj7R/n558l+OYbGSQSBhs36uChA8Um7jag9NfpkYCPVt67AveFOesOs3aDxcfDblYJABgM/S+Iujr29f8O8vOY4W6tDAb5+RKb8zXUatZd5giJpP/C+uabo9DbeybGjh0LgiBQUVGB3bt3Iy8vDyaTCVqt1mY9y+7dElxwgRKLFgXir7/YuTzLlxtw5Iga8+aZMG1aMFatGrrU4exsCt9/r0FnZw/uvdcgiKgAbGHhYLF0qRF5eWk2n1u8+JCFwK1YYT8TrKsLvAvvzjsNDoP7nuCuxRIcHCxaLO5CEIRHBWec79JkMjmVqmwtLF39E74syM3trx7cMTzo1s/z1ltG3HKLaK0IQW4uadNyaWwkQZKM3Q4GFMVmmVl3A77lliD88QeB8ePZa0Cj0UClUqGrqwslJSWorKxEZGQkIiOjkJ8fiw0blNizpy8of801RtxzjwF//inF1KlD6/I677wO3HhjHc45x/aC7ClC1nENxLPP6m0mOTzxhB6PPjqb//eTT+7H/v2qf78j9kdhVhuwbp0CjY0kRo2i8dBD3mtM6k6MRaPR+LXFMuTC4ikEQbgUwLcWFqnUBMC1hZ2r0BciLZizfk5FBnJTuYrJRKCpyfbxBmqL091NYORIGrW1fQtAby+BK69U4q+/1IiKAgIDAxEYGIiamhpkZmbCYGDw+ec03nsvGlVVbBBZJqNx9dVa3HsvjZ9/lmHy5KEVlPvu0+OOOwzo6qqDweCdxVOvtxz5602efVaHefNs5wKbW56nnWbCnXeOR1dXF1QqFU6cOIGSkhIEBwcjMjISFRUJePdd9jvbuFEneLKGOe5YLP7uCvN7YQFcSzkuKbHcOUgkRtgTlkmTaBQVWb4+K4tGebkwi2Fioh7vv3/q1iqo1QRGjKBRVyfcbvfkSRKTJ1MoLOx/Iw9UtV9bS2LaNApHjvT9bk0NieXLlfj2Wy2fIaXTSfDBB6F4991Q/twDA2lcdlknLrqoEj/+GIRJk/r7/weTV17R4eqrjfyC2dnpfgv0gfjpJyl6egZngzR3LoUHH+x/vWzfrsHChX2C89prOpAkiYiICERERGD06NEwGAzo6OhAU1MH1qxhBf+CC5oxapQKarXniRr2cCfG4u0GlN5myJ37QgXwnRUW64ywsDD7/u6MjP4uuuxs4epWli1rRkPDqWuxAEBdHYlJk4Rtp1JYKMHSpf2ze4xGAnPmOA4G5OWRmDXL8jW7d0uxdq0Cra0E1q+X47rr5uOxx8JRV8f2lHrkET2KizUYMSIIl146He+/P3Si8swzOrS29uDGG40Wu3BPZms4gmGAl14anM3RkSO9mDu3/2J7xhkmLF/edx8/+6wOo0f3v3flcjni4uLw/feTceJEMGJjKTz0UAfa29tx6NAh7N27FyUlJWhpaYFRqHRPeBZj8VeGhcXirLAwDNDYaHlzOaqwtZVCHhPDXrAhIYzHuzQveSb8jqIiCZKSaDQ0CLfP+fZbKS6+2GjRKwoA9u6V9nN5mUPTBI4fJxEVRaO9ve81b7zBDtjiGDnShNWrTbjiCiNeeUWOtLShXQQefliPO+802K3J8pawfPedFEVF3i+QvOaabpxxhu2aldmzKfz9N7uUjRxJ47bb7ItCcTHJz2Z5+WUDJk1KBpAMiqLQ2dkJlUqF6upqFBcXIzQ0lI/NhIaGuhwn4XC3jsWfLZZTRlgoisKxY8cA5Fg87qgYytYhufwAIe7RwkL/3ZEIjZCiArACceQIO1PDOiXcnqhwqFRsQNfWGIXQUAarVuXjhhtisXFjDJKShBvE5A4rVxrwwAN6hIc7fh3DMG4vjPbo6YHdGShCM3++Hh9/3L+H/ebNWtx+e59ptn27Bvb+TIoCVq0KgMlEYMkSIy68sM8ylUgkiIqKQlRUFABAr9dDpVJBpVKhqKgINE1bJAEoXQjKuGuxiMLiAYPhCtNoNMjLy4NEIumXHeSogaT52GIO7qL19LTlchp5eQIMexhGREfTaGsTbvGrryexZIkRP/zQ3/TMyaEctiLh5qBYExXFYN++WDz9dJJg5+kO06ZR+OADLUaOdC6j0hsWy+OPK9Dc7H1v+ssv78NNN83u9/iiRSYLUfnoIy0SEux/Hq+/LkNuLjtu+MUXHU+dVSgUSEhIQEJCAhiGQU9PD1QqFU6ePInjx48jICAAkZGRiIqKQnh4uMP6JneFxXyao78x5MIiBI6EpaWlBYWFhUhKSkJGRgZIEqDN0tXtjTO1B+dK8/QePf98NbZtG9rdrq/R1kZiwQKToBlGP/wgw113GfDqq5ZxgMOHJbjoIiO++861jMDqahLV1UMrKtu2abBggWtxKaGF5eefJXjrLe/HVu69V481a/qLCgAEB/eJyOLFJlx0kf342cGDJNatY3eR69frHQqQNQRBIDQ0FKGhoUhNTYXJZEJHRwdUKhXKy8uh0+kQFhbGWzMhISEWn7U7wXshh3wNBcNWWGiaRkVFBWprazFx4kRe/a3N5M5O+8e1JTonT7L/9TS2l5Tke5MLfYE//pBi0iRKUL/9V19JMXMmhQMHLI/pjKgQBNNvxMJQcd11Jbj++g7Ex0dCq3XNHSOksNTVEbjmGu8PHIuOpu2mo//f/+lw9919fuy337Y/t7i9HbjhBiVMJgKXXGLE8uWe3bxSqRQxMTGIiWFHkmu1WqhUKrS3t6O2thYkSVq4zcQYyxAglCvMfO69Xq9HQUEB9Ho9Zs+ebaH81hsHR1Mfe3r6P8bFWBzN33YGo/EkAOemZJ5qtLYKt5DLZAwaG0ksXGjoJyzO4AuiMno0jW3b1IiKCkN7u4l3xyiVSr7dTHh4uMNdsVDC0t0NXHYZu0h7m48+0mHx4v7ZNf/7n95CVH79VWN3hDBNA7feqkR9PYm0NBobN+oEiY+ao1QqkZSUhKSkJNA0je7ubqhUKjQ0NKCkpAQEQaC5uRkkSSIsLMwp66W3t1e0WIYac4ulo6MD+fn5iIiIQHZ2dj/fp/XGoaPD/nFtiQ4X7Ld2qbmKVDo4QU9/pLmZxPLlBpszzF2Fq1v54AM5xoyhB7VCXAheeEGHm282/nvdhiAkJIR3x3DB5dLSUhiNRkRERPBCE2iV7iiEsJhMwPXXK91q+Okqv/yisSkq0dE03n67z9K8804D5syx7xb8v/+TY/t2KRQKBh99pBVkhr0jSJJEeHg4wsPDkZaWBqPRiL1794KmaZSUlMBoNCI8PJy3ZoKCgmx+L2q12u2xwL7AsBEWvV6PmpoalJeXY+zYsRgxYoTNL8wVi9SWcHDC4umuJyQkyrMDDHM+/FAu6LwVYHDbjnhKaiqNbds0NusxANYdExsbi9jYWDAMA7VaDZVKhdbWVpSXlyMgIMCieaanwkJRwB13BPBdmr3J2rV6m6ICAGefTWHrVlZYEhJorFtnPwi/Z48ETzzBbk5efFGPSZO80wvMEVzb+9GjRyMwMJBvC9Te3o6qqirIZDILtxn3en9v6TLkd5oQ5jlBEBbTKEeOHGn3uNbCEhZm/7hxcf1vaoVCmKZ9ev2Qf/Q806ZpkZMz+DfdQCxeLHwcKinJ9/5Oa+69V4+8PLVdUbGGIAgEBwdjxIgRyMrKwrx585Ceng6GYXD8+HHs3r0bHR0d6OzshFqtdrk3H00Dq1cr+AXdm0ycSNktuFy7Vm9xDnv3auzOi2ltJXDDDQGgKAJXXeV5XMVdGIaxmHkfFBSElJQUTJ06FfPmzcP48eMhk8lQW1uL3bt348knn8SaNWsglUoRINBgmGeeeQbTp09HSEgIYmNjcfHFF6OsrKzfea5btw6JiYlQKpWYP38+jh496vZ7+s7q5ia9vb2or68HRVGYM2cOIiIcxy2shcVRurEtYRGqjkXI0afusnHjbjQ2NmHPHhL//GOETqdHXZ0eN94obCW8u3z2mQwXXij8gnDjjb5bmfrZZ1o8+qihXyzQFaRSKaKjo5GRkYHZs2djxowZkMvl0Gg0OHToEPbt24fS0lK0trZaxCZtQVHAPfcosGXL4FTXz51LQafrf3M9+KCWH8YFAP/8o0ZUlG2BpCjgppsC0NzMzup55RXh4yrOQv/r9rAVV5FIJIiMjMSYMWMwY8YMnHbaaRg7dizq6upQUVGBiy++GBdffDE2b96M2tpat8/h77//xsqVK7F//37s2LEDJpMJCxcu5KdUAsDzzz+Pl19+Ga+99hoOHTqE+Ph4nHPOOeixFWh2Ar92hTU1NaG4uJjPvFA4Uol/sRaWgAAGgO2rztbhhJvXMLSavnXrP1i0aFK/zKLYWOD110245x4KEycOfR+ziAjhZttLJAwaGki8++7Q/13WREbS2LFDg/R04f5egLVmAgMDERAQgOjoaMTHx6OzsxPt7e2orKyEVqtFWFgY7zYzb9VuMAC33BKAb74ZnO7b772nxYoV/bPNpk9vwrPP9tV0vP++FpMn27c8n3+enYMTGMjgww91DifEehsu9utMwF6hUODKK6/EFVdcgZiYGHz88ccoLy/HF198gZaWFjz22GNuncOvv/5q8e/3338fsbGxOHLkCE4//XQwDIMNGzZg7dq1WLp0KQBgy5YtiIuLw6effopbb73V5ff0S2GhaRplZWVoaGjAlClTQFGU04reX1jsv9ZWyxYu7uLpDmgwsmrscdFFLbjggiyHRV1jxjBoaNAjKWlokwy2bJELFsj31hRLT5k2jcK2bZoBq+c9gYuxWFeYa7VatLe3Q6VSoaamhn9eLo/BPfckY+fOwRGVbds0uOQS22b8oUN9onLbbQZceql9K+uvv9gBawCwYYPO4UjiwYATFlfSjU0mEwwGA6ZPn45LL70UDz74oKDn1PXvrJDIfyegVVdXo7m5GQsXLuRfo1AocMYZZ2Dv3r1uCcuQu8JcjbHodDocPHgQKpUKc+bMQWxsrEtNKK3NZ0dGji0vwYkThN3nXKG1deg++vPPd24SYlQUsGNH4yCckWOEEBVf5YwzTPjxR++KCmA/K0ypVCI5ORmTJ0/GvHnzMGHCBDQ3B2Hx4rhBE5WPP9baFZUZM/rclpmZFJ55xn6wvqmJwE03BYBhCFx/vQFXXTX0tWJccaQr61xvby8AeCUrjGEYrFmzBnPnzsXEiRMBAM3NzQCAuLg4i9fGxcXxz7nKkAuLK7S3t2PPnj0IDg7GrFmz+JRKV4QlM9N5YVGp+j/GvY2nu9/S0qEzFl0p7szIoDBvXov3TuYUZtEiE778UjsorhpnAvYkSaKoKAYXXZSJ5ubBCQI+/bTObrHl7bcbcPBg36bi1181dmNPajVw1VVKtLay3bKfe85xy5bBwt3iSABeqWNZtWoVCgsL8dlnn/V7zlr8PMkk9AthYRgGlZWVyM3NRUZGBiZOnGjhs3RFWCZMcF5YrFvsA0BzszDulL17vV8LYI89e5z/2gmCwHXXVXnxbJxj4cKaoT4FQZkxg8KHH2odumKFZKBFgqaB556TY8mSwcsqufFGAx5+2PYH8Mgjemze3CcqR4702s3g5IL1eXkSREbS+PBDrVcHd7mCO33CNBoNlEqly783EHfeeSe+//57/PXXX0hOTuYfj4+PB4B+1klLS0s/K8ZZhlxYBlJEo9GI3NxcnDhxAjNnzrT4QDisK+8dMXGipbA4+jVbQ6F27yaRmChMgHXcOBvtcweBTz+VDDiSmYMgCKSkuJcZIiQxMf7bkM+a+Hgan346uIufo+7Gzc0ELrlEaZF15W0WLTLZTaK47z49nnyy71yee+6ww6SGtWsV+OknGRQKBlu32p7FMlS4Oz1SyKFjDMNg1apV+Oabb/Dnn39i1KhRFs+PGjUK8fHx2LFjB/+YwWDA33//jTlz5rj1nkMuLIB9cenu7sbevXsBAHPmzEGonbJZzmJxxty3doVVVLj+5QlVaJWW1i3Icdzhvvucc8Wxi9HQ36g//ijDc8952EfHR3jnHR1iYwf3M7VnsXzzjRRjxwbjr78GzzU7e7YJv/1m+/1WrjTghRf6ROW111qQnd1p91hvvCHDpk2sQL35pg6zZvlGqjyHOw0ohR5LvHLlSnz88cf49NNPERISgubmZjQ3N0P7b18qgiCwevVqPP3009i2bRuKi4tx/fXXIzAwEFdffbVb7+mzWWHcjOq0tDSkpaU5VG/ui3PmSxw1ioFSyUCrZY/X1ERAoWCg19s+vq2GiFaC7zY0PXS6/uGHEmRl0bj9dsciSRAEOjoGJ4jriK4uEuPGGQD4iI/DTa691oDTTx/8xc9609XcTODBBxWDlkrMkZFhsjuS4IorjHj99T4r5oUXdFi8uBfV1bbvzV9+keDBB1kRevxxPZYuHfpgvTXuxljM0749ZfPmzQCA+fPnWzz+/vvv4/rrrwcA3H///dBqtbjjjjvQ0dGBmTNnYvv27W4nEPicsHADuVpbW5Gdnc2nRTqCExNnzE6JBBg/nkFuruVMFr2dWF98PFBUZPmY0dgLwEHJvpPs2TO07p177pGhstKE9espu75+giCwdWvqoJ6XPV591X9bXABsQ8yHHx6a4kzOYqEo4L33ZPjvfwcpuGNGVJQePT1GNDf3D0qfeaYJX3zRJ3L33qvHrbcacfIkbXNhzssjccMNStA0mwG2erVvFr26G2Ox7vXmCc54cgiCwLp167Bu3TpB3tOnXGEajQb79++HWq3GnDlznBIVwFJYnMGVzDDOsjGntlYYF1ZPjxzTpw/tDfHaa1KEhyvw7rsk/s1y5GEY4MMPA/HttwKZaB4i5JyWoeCCC0xIShoatyLDMNizR4nTTgscElGJi6MRHCxDY2N/URk7ttfCFXf11UY88gh7X9B0f2GprydwxRVKaDQEzjrLhJde0g9ZZf1AuBtj8efOxoAPWSz9B3K5lrnkScqxo187eLD/FbtvXzKCgxn09np+NU+dasChQ0Nfp7FypQwrV7L/HxvLoKeHE1WxC7NQ2NqkDAa5uSTWrp2KQ4dihuT9ExNpmEy2R0Knpppw/HjfIpqV1Y7Vq2ugUrGTGa2FpauLbdt/8iSJzEw2s85evzBf4FQcSwz4iMVy/PhxFBQUIDMzE+PHj3drNrdrwmIZV1CpCCiVtneSBgOB8HCdxWNqNYHTTxcmgP/VV74XM2hpIYZsERyIu+8+PtSn4Da//irFK6/I4WIPSLdgGGD/fgkuv1yJ+fODhkxUJk2ioFYTaGnpf0/HxNCor+9bdNPTKXz6aRcAGqWlpdi9ezfq6+uh1+uhVqthMDBYvlyJkhIJEhJofPml99vge8qpOD0S8BFhUSqVmD17tkcznj2xWAAgNdX+3Z6c3D/dVqii2I4OCc480/c77voKQUG+4ZZzl8ceU+Cyy5R8Bweh0WqBrVulmD8/EAsXBtrNvhoMFiwwobyctDnXKCqKRmsryRcah4cz2LVLg6SkGIwbNw5z5szB9OnTERgYCKPRiIMHD+Hqq7v/7QFG47PPepGcPPTZigNxKk6PBHzEFTZixAinRcEerghLQgIQE8NYTCp0VKhWV9c/UP/PP6Rg7rDISN+/QTyFJBnQtOef1dNP+7Dfw0l27JBi5swg3H23AbffbvB4k0JRrHXy5ZdSfP65zO4438Hk6quN+PRT299VTAxt0dIoKIjB0aO9Fh0IuBbzoaGhIEkJPvpoKrZvDwBJMnjooXx0dZ1AXl443zzT3sCsoYaiKMjlrrm6xRiLD+GKsBAEcP75ND74oM9EtZcVBgDd3f0vjIYGAkuXUvjmG8+rY7/+WoJJk2gUFfmEAekVAgIAjWaoz8J36OkhsH69Aq++Ksd//mPEpZeaMH065VS7fIZhA9j//CPBrl1S/PabBO3tvnPt3Hef3qIWxZz4eBrNzX3nGhlJo7hYDXvrKEXReOONEfjwQ3bn99prOlxzTTo0miSbA7M4oXGmF95g4G6MhWsQ6a/4xqcvAK5U3wPAZZdRFsJy7BiJiAgGHR22dz3jxxtQUmIpMAOMfnGJzEymX1rzcCIw0HVhGe5iCwDd3QTefFOON9+UIzSUQXY2hfR0GsnJDIKDGcjl7OfW3U2goYFAdTWJoiISKpVvfi4vvKDDfffZNv/HjaMsxhonJNDIzVU77JX25pux+PBD1kX+8ss6XHMNe48HBgYiMDAQycnJoCgKXV1dvMgcPXoUoaGhfBdnIWtCXMXdGIvoChMAIb50VywWAJg/n+nnDktP1+HgQdvBdFsur+3bSYSGMuju9vz8t26VYNw4GqWlvrlgeEJUFJtl5irsrJxTh+5uAjt3SrFz51CfiXu8/bYWN99s+/45/XQTdu3qW25SU2ns3692OPBuwwY53niDFZWnn9bhpptsd0/lBmZFRkYiPT0dWq2Wt2Zqa2v55zlrRjaIaWTuxlj8ed494CPBeyFwVVikUuCSSyyD5idO2A+i19f3vxjr6wksWiRc4D0xUbBD+RQhIfY7Gzji0KGha9Qp4hoff2xfVC67zGghKmPHUjh40LGobN4sw6OPsu60VasasWqV8y25lUolkpKS+FEAmZmZkMvlqK2txT///IPDhw+juroa3d3dLo9pdpVTNd3YJywWIZBKpS4nAFx2GYW33ur70hsbgxwGmc8+m8bvv1tqsSst6Afizz9JweI2vkJUlDAWnYjv8uqr9lvf33GHge/lBbDpx3/+qXFYlPz++zI88ADrTrvxxhO4+WYVAPd28CRJIiIigh9Zrtfr+cFm9fX1IAiCt3bYAWfC1pS5Kyz+brH4hLAMhSsMACZMUCEqKhzt7X0+4chIoK3N9uuPHu1/nt9+K8HMmTQOHBDG+BtOogIA8fEMjh4V1jBOTqZx4sSwMbb9lokTKWRnU7jrLtsxlQce0OO55/oUZMYMCj/95FhUPv1UitWr2RfcfbcBV155AiQpXIaUQqFAYmIiEhMTQdM0uru7oVKp+N6EISEhvMiwGWmeXWfuxFjUarWgLV2GgmFzd7oiLAzDoLa2Fnl5h3HBBZYdcx1lhzU1EZg4sb/ra8QIYc3pGTPcm9rma0yaRAsuKgCwdatvDHECgDVr7LfkSUvzrU67QnLXXQYUF0vsTve0FpWlS4347TfHovL111LccQc7AfLWWw144gk9GMZ2rzAhIEkS4eHhSEtLw/Tp0zF37lykpKRAp9OhqKgI//zzD4qLi9HY2Ai9o4XBAa5aLAzDDAuL5ZQTFoqiUFRUhMrKSuTk5OCGGyx9mT09hMN+Tj09/a2WL7+UYNYs4WItBw/GY8kS/16UMjJot0YSDMQPP+gsEi68zeWXn3D4fHb2XrvPVVUNL+uT4+OPtXj1Vfsuo7vuMliIyv336/H++zqHqdTffy/FTTcF8E0ln3+e7f9F0/SgZXTJ5XLEx8cjMzMTc+fOxdSpUxEUFITGxkbs3bsXBw8eREVFBTo6OkDTzt3vp2qBpE8Iy2C5wrRaLQ4cOMA3uYyIiMDMmUw/iyM42L6w1NYSkMn6Py/0cKEffpBgwgT/rMjPyKBRVkZ61Bbmiitsp46PH8+gsHDwLtuzzrIxn9qMTZtm4bLLWgfpbIaer7/W2I2nAGzre3PR2bRJi//9z+CwSeRnn0lx3XUBoCgCV11lxIYNfU0lbTWhHAwIgkBoaChGjRqFnJwczJ07FyNHjoTBYMDRo0exe/duFBYWoqGhgZ9rYg3DMG6nG/u7xeITMRYhGKiOpb29Hfn5+YiPj7foR0YQbBD/5Zf7PoqyMhJRUQza223fDampDMrLLZ/75BPWatm/X7ib4Ngxn9B9pwkMZKDRECgr8/y8v/ii/6WZnEwjIYHBzz8PniVw1lmjHT6/d28A/vOfYXMb2eX00004/XQKl15q2/cfHs5g7FjaovX9119rcM45jjd7b74p4+teli0zYuNGHcx1ZKiExRqZTIa4uDjExcWBYRj09vaivb0dJ0+exPHjx6FUKvl05vDwcEgkEt6qcUVYDAYDDAaDWHnvK9izWBiGQU1NDSoqKjBu3DikpKT0e82yZTReftnysdGj7QtLeTkJgmDAMJbPjxvHYP9+9/8GWyQmMmhs9I+sKo3Gu+c5Zw57ox44MHjC0tU18KL22WdSjB9Po6Rk6BdAb7BpkxZ33RVgkTJszrJlRnz/vRQHD/Z9Lzt3qpGdbd/iZhjgxRfl/Aji224z4Nln9bDWEF8RFnMIgkBISAhCQkKQmpoKk8kElUoFlUqF0tJSGI1GREREICyMbQXlirCo1WoA8Hth8a1vzANsCYvJZEJBQQFqamowffp0m6ICsFXvl11m+bu1tQQkEvvurQkT+j/3wQfCxloAoLGRwOzZ/ukSE5rzzqOg0w38OiF56SUZpk8fON41XEXl1181uOMOJUwm25uGJ57Q45NPZBaxx/z83gFF5X//U/Ci8uCDejz3XH9RYV/L+JywWCOVShEbG8s3z8zJyUFERATa29sBAAcOHMDx48fR1tY2oLu+99+hSGKMRQC8EWPRaDQ4cOAA9Ho95syZg/DwcIe//8gjFEiyTyxOniQwebJ9YTl6lERCQv/nDQa2IFBI9u0jBRcsf0OpZLBoEYVbbx3c2TWffy4dsuFcQ8kVVxjxzDM6nHuu/bTX9et1fBEjACQl0aiu7kFamv3Pi6KAO+9UYONG9nt85hkdHn7YfgzGFy0WRxAEgeDgYIwYMYKfK5Weng6GYXD8+HHs3r0beXl5qKurg1qt7legyU2P9Ke/2RY+c/aeiou5sLS2tmLfvn2IjIzE9OnToXCU4/gvGRkMrr7acvEuKXF8TkobMczcXBIXXSS8COzfTyIj49QVl0suoXDgAImvvhp8762QcTN/4IcfNPjqKykeesh+y+/rrjPgf//re/7qq40oKlLD0dBXgwFYsSIAH34oB0ky2LRJi5UrHVcYD2ZWmNDQNA2pVIro6GhkZGRg9uzZmDFjBqKjo6FSqXDo0CHs27cPpaWlaG1thVarRW9vr6Cdmnft2oUlS5YgMTERBEHg22+/tXieYRisW7cOiYmJUCqVmD9/Po4ePerx+w6bO0YqlcJkMqGyshL5+fkYP368y0PDHn7YZGG16HQEoqLs776qqgicdlr/xf7jjyWCDQIzp6yMhFLJQC4/9XbQ551H4dJLh2aapXk33uHMlCkUdu5UY8mSQLvdJ5YtM2L0aBpbtvRZjhs36vDGGzo4aiis0QBXXaXEtm0yyGQMtmzpayjpCH+zWMyxrmEhCAKBgYFISUnB1KlTMW/ePN6qKS8vx7hx43DXXXchKCgIhYWFgrSbUavVmDJlCl577TWbzz///PN4+eWX8dprr+HQoUOIj4/HOeecgx53mvuZ4Z/fmA0YhgFFUaivr8fMmTOR6EbjrbQ04MYbLQWhvZ1AQIB9kdizx/ZH2NsLhIUJLwBaLQGDgXDowx5uzJlD4ZlnZPxQKBHhef7544iJ0WH+fPu+/U2btPjkExkqK/uu+R071LjuOsdWR2cncMklSvz+uxRKJYPPP9fioouc60Q+nITFGolEgqioKIwdOxZz5szBb7/9hlmzZqG7uxunnXYakpOTceONN6KhocHtc1i8eDHWr1+PpUuX9nuOYRhs2LABa9euxdKlSzFx4kRs2bIFGo0Gn376qdvvCfiQsHhi+vX29iI/Px8AMGvWLIR6MK/0gQdMUCgsBSE62rFA2Jo+mZtL4tJLvVfkmJtL4uyzTw1xOXmS8EoFv7PYG1s9HJg504Q//mjA/fePxe+/2xeVF17Q4Y47+ny/cjmDY8d6MXOm42uwuprA2WcHYt8+KcLCGHz3nRZnn+38feHvwuLKuY8bNw6zZ8/GmDFj0N7ejo8++ogfYuYNqqur0dzcjIULF/KPKRQKnHHGGdi7137hrzP45zdmRktLC/bv34+YGHamt6vFSNYkJwO33mp54Z84IUFUlO0iKACoqbHd6uW996SYOrXDo/NxxO+/s3EXqXT4LnwALHbIQ8Hs2bSFi3S4sG1bF7KyTFiwIMnuaxYuPIHZs7ssZqwsXGhCff3Ao4EPHCCxYEEgjh+XIDGRxs8/azBrlmubLX8XFlfXIy7GolAocNZZZ+GFF14YMPHIXZqb2dZRcXFxFo/HxcXxz7mLf35jYM248vJyFBQUIDMzE+PGjQMAj0ccA8C991IICrK8aQgCIAj7N1Jxse2PMj8/wqboCEVZGQmTicA55/in9eIP3QWKikg8+KDzQ+R8nZtuMiI/vxuXXBKGN96wH6B/+201tm9Pxr59faO577uvHK+8Ug7A/kYLAL75RooLLghEWxuJKVPYjsaTJrn2XXMFhv4qLO42oBzsGhZrbxHDMB4nD/jMN+bKH2I0GpGbm4umpibMmjULCQkJIAgCJEm6NEXSHrGxwMqVlgLV1qZEVpbjHZq9ZpQ9PQRSUry7492xg/0qXd0RDiVKJeMX3QVaWwl0dQH//a+AMxKGgJAQCvn53aiqIjF1qn13cVQUjfXr1bj5ZksXzJ9/tuG66wxobWW9BPv370d5eTlUKhUvAlzh4/XXK6HXE1i82IRfftEgMdH1658LXvursLhjsQzm9Mj4+HgA6GedtLS09LNiXMXvvrGenh7s27cPADB79myLnjrutM63x333URg1yvJmyM0lHWaJ1dURmDy5f8/92loCo0czCA31vjtl/37WbZeR4bsCs2kT2ynWk15i3mDOHPuf2ebNUpx5JoV77vFPcdm4sRpPP52HqVND8eef9he7N97QYvx4Gv/7X9/idvbZBtTWqpCVJUVycjKys7Mxb948pKWlwWQy4dixY9i9ezdyc4txww00nniCzd674w4DPv1Ua3ee/UD4u8XibgPKwbJYRo0ahfj4eOzYsYN/zGAw4O+//8acOXM8OrZftXRpbm5GUVERUlNTMWbMmH5WjpDCEhICvP++EQsWWGYjRUTYb/UCAIWF0Zg8me7XKHHnThJXXknh669Ju1XMQtHerkR7OxAWZsCUKcCuXYNbVGiPp54y4KOPpLjjjqFJGx6I5ctN2LvX9qJL0wSuvlqB7dt1mDCBxj33yG2Oq/Y11q0z4NZbTUhIGAVglMPXfvKJBsuWWRZEvvqqBtdcYwDDWLqZSZJEdHQ0YmNjwTAMTpxQ44YbQnDwYDBIksHKlWVYsUKH3t5ohIaGuuVa4YTFX+tY3I2xCCksvb29qKio4P9dXV2N/Px8REZGYsSIEVi9ejWefvpppKenIz09HU8//TQCAwNx9dVXe/S+frEVYBgGZWVlKC4uxuTJk5Genm7zYnNniqQjZs1i8PDDlserqCARHu7Y8rDXfffzzyVYtmzwYgpdXXJeVBYvNg1Z/csrrxiwaBGFtWvlKC0V5pLLzu7/PUdFefbZZmc7DtJ3dxM499wAREczOHhQ53TKrLsolYzNTtrOcM01JjQ2alBZSSIhwfHQqP/9rw4LFjT2E5X9+7W48UZAoZBDLmd/JBIJSJIEwzAwmUwwGAyoqKBxySWxOHgwGMHBDD77rBd33imBTqdDYWEhdu/ejaNHj6K5uRkGg/35Ndb4u8XiboxFSFfY4cOHkZWVhaysLADAmjVrkJWVhUcffRQAcP/992P16tW44447kJOTg4aGBmzfvt3j7soE4+2hz05CUZTN+IjBYEBBQQF0Oh2ysrIcqvm+fft4804oTCbg7LNl/aqvw8MZdHa6t5O6/HIKX31F9mtiOVicf74Jx46RqK723g17ww0mTJ7M7uyFRiplbFp9CQk0mprc/5see8wAuRxYu9bxORMEg9WrTXjwQSMqKgi8/roM330ngVrt2fcZHs4gNpaBXs8OnGttJVyu3Vm40IRNm4woKCBw6aX2A/Mc336rw8UXW77u4osbsWxZLsLCFIiOjkZ0dDQiIiIsFniapkFRFHbskODmmwPR2UkiMZHCZ5/1YtIkNpOLE6Du7m60t7ejvb0dvb29CAkJQVRUFKKjoxEcHGzXIlGr1Th06BDmz5/v0mfgKxw7dgyBgYFITU11+neWL1+OGTNm4KGHHvLeiQ0CPi0s3d3dyMvLQ2hoKCZNmgSpo9JeAAcPHkRSUhKSkuynT7pDdTWQnU1Cq5VZPB4QYIJO55438YorKGzbRsJoHFozPzOTRmYmjeZmArt2uZ+qfcEFJsyYQaO1lcDGjbKBf0Fgxo6lcfy4c6ISHq5DZ6ftRbelRYPYWOfGwkZFMbj5ZhOWLTMhLo7B7t0k/v5bgoICEmVlBE6eJGxuHsLDGcTHMxg1ikFAAIOeHgJaLTuhtKrKPWE87bRuvPuuFCYTgYkT7c9L4fj8cz127SLx+uuW39Uvv+hw+uk037G3ra0NbW1tMJlMiIyM5IVGLg/Aiy9K8cQTMjAMgWnTKHz0US/i4iiLinGSJEEQBJ9cw82c5+bOc0WCXMt583u8p6cHeXl5OP300936TIaaoqIihIeH221+a4tLL70UF154IVatWuXFM/M+PhtjaWxsxNGjR5GWloa0tDSn/KxCxljMGTUKWLXqGF54YYrF4yEhBIxGxuGuMjSUQXd3/+e/+EKCpUsp/Pwz47Y4CcHRo2S/4sPgYAbp6TTi4oCYmD53jFLJZv3o9UBvL4HGRgKHD7MDvX78UYoffxyKvwAgSXahPn7cuddPnizFrl32jqXFxx9LcM01juNAUikba3v2WRmefVaGjAwas2bRmDSJxty5JsTEMFAoGHR1EejtJaBSAWo1m1124gSB8nIS+/aRblu9HPPmNeLxx3uRlpaM1NSBBXHmTAqPPmrE+edbCuuSJSa8+aYB/3Z65zv2cjGU3t5etLW1oampCUeOVOC116Zj7162dmzFCiNefNEIhUIGQMZbMzRN88OuADZWIpVKER8fz8+c7+rqQnt7O6qrq3H06FGEhYXxQuPPNSzAqTs9EvAhYeGEg6ZplJWVobGxEVOnTuULH53BW8ICAGef3YKysl58/32fK661VfJvoN7+4tDdTSAtjUFVVf/XfPONBNnZLaipiYZK5Ts3UG8vgbw83xurK5czMBj6PkeSZEDTBE4/ncbOnc6f75gxjF1h+euvfYiNDcAZZ0zH33+H2X4RYOGKI0kGZWWkIAPOnGXlyk7MnXsAGRljkJ091qnf+ecfLTZskPUTlU8/1eOii+zfN+bzR3S6NDz6qBwVFRLI5TRuu60YixadwPHjrGsrKioKcrmcX1A5ceGExjoBICwsDBERERgzZgy0Wi1vzVRXV/Mx07a2NkRERHhc/DzYuBO8H4o6Fm/gM8ICAHq9Hvn5+TAajZg9ezYCA51zSXAMNEXSMxgsW7YXhw6dgaamvt1sYSFpMwvMnKoqApGRDFSq/uKSmxuLKVOMCAoiUF/vn9kvgwE3nZKDi7MkJNDQ63sB2BcBaxyNkc7NPRs339yExx4rx2WXTYRKNXCcwl7DRm/wzjt6zJxZi+LiavznP4uc+p3Nm/VQKoG5cy1dZIsXU9i8WQ9n927btklw661yqNUEkpNpfPqpAdnZo9HVFY22tjbU1tbi6NGjCA0NRXR0NGJiYhAcHAySJPkF1tqa4e5XgiAgl8uRmJiI5ORkvu9fXV0dysvLodfrER4ezlszrq4NQ4GrwXuGYQa1jsWb+IywdHd348CBAwgPD8e0adMGjKfYwlsWCzfXetSoRHzyCbB4MQO9vm8xKSwkkZTEoKHB/gJjS1Q4CgpYP/dpp9F2m1qe6piLSlwcg5MnCRAEg9NPb8Lnn7sWUxs3zn722DPPBOB//2NH0O7ZQ2PKFEsraSi4/HIT7r/fiPHjaRw6dAKTJmUAGNhKOfdcCk8/bcBNN8mRm2u5wH37rc7pbg0mE7BunQyvvMJep2ecQWHLFk6QCISHhyM8PBxjxoyBTqdDW1sb2tvbUVNTw7eNj46O5mMo5taM+Y+1NRMYGAiFQoEZM2bw1kxbWxsqKir4UcBRUVEIDw/3SZeZu+nG/j7vHvAhYVEqlUhLS0NKSorbeetCWyzmbrng4GBERUVh8mTg009NuOIKqUVspaGB6LerdpU9e9jGlT/+SFoIl0gfcjmD1lb2/y+4oAGff57s8jGmTHG8oBYXE5g4kcGIEUB5uRYXXhiAgoLBXbjGj6fx2GNGLFxIQaEA9u0jEBwcBCDDqd8vLdVi0yYpsrMtrZRbbzXiiSeMThctNjQQuPFGOXbvZhfI1auNePxxo90W+QEBAUhOTkZycjJomkZHRwfa2tpQXl4OrVaLiIgIXmiCgoL6ucw4kWEYBlqtFgRBwGQyQaFQICkpCSkpKTCZTOjo6EB7eztKSkpgMpkQERHBC01AwMBW5mDgritMtFgERC6XY8SIER4dQyKRQK/XC3I+XJqzXq/HrFmzUFJSwu+ozj+fxttvm7BihWVGjUZDICyMDdi6y9dfSzBjBo32dmbImy/6GtHRDDo7WdfTmWc24vjxiH6vcebzHygbfeZMJdRqzb/vCezcqcOmTdIB05A9ZcYMCitXmrBwIYXQUICmgeefl+LJJ51/39xcLXJzSYwbZykogYEMfv1Vj2nTnK/1+eknCW67TQ6VikBwMIPNmw1YutR5jwBJkvxin5GRAY1Gw2eZlZeXIyAggHeZhYeHQyKR8AvxyZMnUV1dbbMHIHfcmJgYMAwDtVqNtrY2NDc34/jx4wgMDOTjPaGhoUNmzbgavOdcYWKMxccQyhXGpTkGBwdj1qxZkEqlkEgkfHYLAFx9NY2uLiPuucdSXLq6CERHM2hrG1hcMjJomwHfgwfZx845h+Z7gJ3qjB5No66OgMlEYObMkwCCUFbWf2fnjKg7YxCvXSvDU0+x7VvkcmD1ahOuuILCK69IsWmTMOnUQUEMVq40YcECCjNn0pD9e9iqKgIJCQOnDJvz1186kCRw0UUK1NdbXjP/938G3HCDCc5unnU64H//k2HzZvaEsrIobNlicBibcobAwECMGDECI0aMAEVRvGvr6NGjMBqNfG0LN8Z30qRJiI2N7ZcAwP0ArMgolUqMGDECqampMBqNUKlUaG9vR1FRERiGQWRkJC9wcvngdaFwNcai1+thMplEV5iQeGPuvTu0tLSgoKCgX9sYkiT7Hfv222l0dJjwxBOWH2NbG4GEBAZNTY7/prIyEmlpvaiqsr1D2bGDxOzZJjQ16VFT4//msbukp9MoL2cXy5kzm5GYqMS2bf2D9UuXmvDNN44v6XPOce762LBBhvnzKYs4RGIigxdeMGL9eiP++outWdmxQ4KSkoHFPylJj/nzDZg+XYacHAaZmQzM17iuLuD22+X47jvXbsnvvtNh5EgG994rx++/Wy5i115rwlNPGRyOC7amrIzAddcpUFTE/k133cW6voRejyUSic105traWmg0GgQEBKCrqwsymQxhYWEW1oyjdGaSJBETE4O4uDgwDIOenh60t7fjxIkTKCkpsSjODAkJ8Vq7GO68XBEWtVoNAKLF4mt40tKFYRhUVVWhqqoKkyZN6le9b22xcDz0EIXOTuDVVy0/yqYmAiNHMqitdXzh2hMVjn37pACkOP98to9VR8epE3uRSBjExTG8qJx3Xg26uuKwbVv/3fyUKfSAogIAOTnsd2jPZfbYYwY8/ji7il58cQA2btRjxQrLa0qhAM49l8a559J45hnWqtHp2Gmjej1AUUBgIGuRhITQ6OzsQGtrK9ra2v511UaipSUGBBGDtWtD8OWXrt+GP/+sw9ixNJ58Uo4tWyx/f+RIGp98oh+wG7c5DAN8+KEE994rh0bDWt1vvaXHokXeb0HEpTN3dXVBr9djypQpoGkabW1tKCgoAMMwvOvL1XTm4OBgBAcHY9SoUTAYDHw6c35+PgiCsCjOlMmEK+zlzsNVYeHGF/s7PlN5D7BxDU9O5+TJk6isrHS5M6fJZEJxcTE6OzuRnZ1tcwJlSUkJCILgfb7mMAxw661SfPhh/4to9Gja6ViJM0K0cKEJv/8uGdQU16EgLY1GYyMBnY5AUBCFZcuO48cfx6Kx0faNqlAwTiU8fPyxHpdcQuGKK+T46Sd2QX77bT1uvrkvhfyWW4x46y3LRaa0VOvx6AODgcFPPxmxfHmY29/fP/+w5/F//yfDyy/3Xwg/+YStSXFlI97RAaxeLcdXX7Gfx/z5FN55R4+EBLdO0S3q6upQWVmJrKwsi8FWDMOgq6uLj8309PQgLCyMTwCwtjqsrRluPeGsGe6/NE1btJpRq9UIDQ3lrZmgoCCPrBm9Xo89e/Zg/vz5TsdZjh07hrPPPhtdXV0+meXmCsPKYnHHFabVapGbmwupVIo5c+bY9cE6mvVCEMCmTSZotcCXX1oufJWVpNN9xWprCcTGMmhpsf/a7dulSEmhkZ5O459/yCFPhRWahAQaBkNfa5OsrC6ccUYjNmwYb/d3Fiyg8Mcfzu0Mudb4Z55J46efuMcsd+VpaYyF5QKAD4Y/9JAR11xjwsiRjMPFW6sFjh0j8fnnkn5tU1xl5Egaf/yhh1TKCgqX9mvOK6+wcRRXN92//UZi5Uo5mppISCQMHnnEiP/+14TBXNeqq6tRU1OD7OxshIVZujgJon86MxebqampgUQi4UUmKirKpXTm0NBQhIeHY/To0fxx29vbUVtbC6lUylszERERLpc/UBTFi5izcNMj/bWbszmntLCoVCrk5+cjLi4O48ePd3gRSCQSh51ZpVJgyxYTUlMZvPCC5cfa2UkgPJxBby8GbJnPicqYMSZUVNj+eurrSdTXs5k+8+dT2LOH9LgB4lATG8vAZALfRDIujsbSpZXIzY10KCrLlpnwySfOXcZjxrBtagA2nZcjN5e0aMb44INyfPihHrm52n7pus88I8MzzwxOL7Rly+px770aSKXReP31UJuC8sADRqxebYQNI9shPT3s3/nBB+xnl55O4+23DZg+ffC6bzMMg8rKSpw4cQI5OTlOBa0DAgL4foDm6cwVFRUoKiqySGcODAzkBYFzY9srzpTJZEhISOCP29nZifb2dlRWVkKr1fLFmdHR0VAqlQMu/r7Q2Xgo8SlhIQjCI1eYK8JSV1eHsrIyZGRkOJXm7MyxSRJ48kkK48YxuO02qUWDSc5icTYd2Z6omKPRENi+nb14zzqLQl0dgYoK/zKho6IYaDR9ghoRweCGGzRoaDiJzZvT7f6eXM7goosop0UFABYu7Pv+MjL6rrO//iKxcaMR8+dTfGuY5csVuPVWIzo6NPjnHxJLlghTGyGTMQ4bjxIEg7//1mP8+F4cOGDEww+H4Zdf+kff16wx4u67jYiOdv0cdu0icdttctTWstfKypVGrFtnxGC69rnR4k1NTcjJyXErYO0onbmiogIKhWV3Zq7lPzCwNRMeHo7IyEikp6dDo9Hw1kxVVRUUCoVFcaYtAXG3hiUwMHBYWCw+FWMxGo02A+TOolar8c8//2DRIvutLmiaRklJCZqbm5GVlYXIyEinjl1bW4u2tjZMmzbNqdfv3UvgyitlaG3tf5EkJzM4ccL5i8eVFv0TJtBISGBw6BBps/mlLxAURIOmGWi1fTdeSooR11xDo7PTiM2bHS8yV15pwtGjJIqLXRPR33/XYfbsvusrKKhvJe3t1YCigJEjlf0+6yefNODaa02IiGAX5ffek2LbNseCNnMmhdGjGWi1GPC1AHDbbUW4554QJCXFYudOEq+8IrPp3rv00iosXVqJ0aND+UXT2aCzRgM8+mhfGvHIkTTeeMOA008fPCsFYEWltLSUv5+8EaymKAoqlYpPmjAajYiMjERMTAyio6MtiijNEwC4uIy92AxFUXxxJndc8+JMpZK1cFUqFY4fP45Zs2Y5fc6ff/453n33XX5Crj8zrIRFp9Nh586dWLhwoU23lsFgQF5eHkwmE7Kzs/mLwBlOnDiBpqYmTJ8+3enfqakBli6V2ZzrPno0jdpawqVpkmPG0C5ZJDNmUAgMBIqLSafqarwFSTIgSbbgzzxoHRzMYMECLZKSOrFnTwAKCgYW+ccfN+Cxx1zPfU1NpVFcrLOIiyxdqsBvv7GL98GDWmRmMqAoYMkSBf7+2/ZuMyODxmmnUUhPZxAYCBiNbHp5eTmB3bslDuNj1jzxhAHnnluFlpZKpKVNxS+/xODJJ2U2NxEPPWTErbcaER3NzjfhFsze3l6EhYXxC6Y9H/2uXSTuvFPOXz8rVhjx9NNGDHbJBMMwOHbsGDo6OjBt2jSX7kFP3pNLZ25ra0NXVxeCgoJ4YQ4LC7M5a4ZLGbYeA2A+a0atVvPWTFdXFwIDAxEVFQWJRIKWlhbMnDnT6fN899138eOPP+L3338X9O8fCnzOFeYJnD/VVsVrd3c3cnNz3e5FZquOZSBSU4GdO41YvlyKX3/tH9QHALmcgsHgnMnMLQrOFmAePNh33FGjaKSlsZXrRUWDG/SnaQLcfiElhcb8+TRiYhjU1BD45ptAAAPvWM8/n7UYnBEVW+6m22839Qu2X3aZiReWN9+U4tVXjZBIgJ9/1uO330gsXdrf/eVJF+OxY2msX2/E2WdTkMsZHD9ejj/+0OLIkTOxdavtz+C55wy4/nqTWQsWAmFhYQgLC7PozdXa2orKykre/RMTE4OIiAh0dpJYu1aODz9kr/eEBBqbNhmwcOHgWikAu2AfPXoUPT09yMnJGbTWK+bdmUeNGgWj0chbHObpzH2zZuynM9sqzkxJScHIkSP5GTbt7e1oaGgARVEoKirirRmFwvEohuFSdQ/4mMViMpk8KnBkGAa//fYb5s+fb3HRNjc3o6ioyKXZLta4m8oMsHUNjz0mwUsvSWwOfgoKMsFgkLg89ItrG+8Oo0bRSE1lM5uamwlUVbGpvUISFMRg3DgaEyawA62MRgLbtklcankTGEjhwgsrsXWrc63hAWDECBp1dX2Lf2Qkg6NHtf0C3N3dsBjbe+SIFuPG9d0ODMPGX+69V+6WmPznPyYsX27C9Ok0zDfmFRUMNm3qwNatsejq6i+UmZk0HnjAiAsvpFzK8uLcP21tbWhpacVff8XinXcmoqODfY+bbmL7hIU53whaMGiaRlFRETQaDaZNmzaoFfCO4CZcchagUOnMDQ0NaGpqQlRUFNrb29HT08P3G+RazVivQ88++yxqamrwySefDOpn4A18ymLxFHM/KMBeNBUVFaipqcGUKVMQGxvr9rHdsVg4JBJg/XoK559P4+abJaiosLRQ1Gr2a4iLo3HypPMLmLmoWC+mA1FdTaK62vIxpZJBaiqDhATWdUUQ7A9NA2o1K5AmE0BRBEiSQVAQWwioVDKQSNjkBe73Tp4kUFBA4sgRCY4ccfq0eGJiGFxyiQlvvSVzSVTmzqXwzz+Wn+/DD9vOmgoNBa6+2oRPP2U//+uuU+CPP3S8dUAQwFln0cjN1QEAWlqAEydIVFcTaGoi+L81IoKdBjliBJt1Zu2FZRjg6FECv/4qwRdfSFBcLAHQP/tn2TITbr/d6FJhozkSiQQxMTHQamPxf/8nw2+/sX/XyJFq3HZbHmbONKK9PQYE4d2qc2soikJhYSEMBgNycnIELUT0FIKwtAD1ej3vMnMmndlecabJZIJcLsfIkSP54kzOmikoKABBEBatZmQyGXp7e0WLxRt4arEAwB9//IHp06cjMDAQhYWF6O3tRVZWlsf9d1QqFQoLCz2av93T04O9e/PwxReZ+OSTRJuvUSgoKJVAZ6f7Q42cdZX5IhdcYEJMDPD++67veRYt0uO33yzdDVOm0Pj7b53dnX95OYGpU/vMiWnTKHz2mQFJSZ7dFhoNG9f49VcJvv5aandswpgxNFatMuGKK0weWxIGA/Daa1I8+6wMajUBuZzB/fcbsWaNCQRh4F1m7e3tfDv7mJgYREZGem2IFkVRyM/PB0VRyMrK8ilRGQgu7ZgTGo1Gg/DwcP5zs87g4sSFK7hWKpUYPXp0P2uGs5K48QIFBQV47733kJiYiLi4OHz44YdeE/1NmzbhhRdeQFNTEzIzM7FhwwbMmzdP8PfxKWGxNffeVXbu3ImMjAze3zxlyhRBzO6uri4cOXIEZ511llu/z/UgGzVqFNLS0rB/P3DbbXIcP277hlYqjTAaJTCZPEsfTkqi0dDg2ynI06ZRyMhgsHcviZoa1881JITCrFkq7NhhObEqIIDBnj06C/eWLZ57Toonnui7RrjmkNddx9YlDQRNs8Wthw6ROHiQxKFDJA4ftr9Qy+UM7rjDhCuvNGHyZGFuv99/Z112XPubOXMobNxosPm3m9d/tLa2Qq/XW8yzFyqgbjKZkJeXB4IgMHXqVLdmLPkS5unMHR0dNtOZaZpGQUEBDAYDpkyZwlf520sAAFhX/ZdffomtW7eirKwMUVFRWLx4MS666CJceOGFgp3/559/jmuvvRabNm3CaaedhjfffBPvvPMOjh075nFneWuGpbAYjUYkJycjIyNDsNYIPT092L9/P8455xyXfo9hGNTU1KCiogITJ05EfHw8bzobDCSeflqODRukdmMlSqUJFAUYDJ7flEFBDMLDGZ8QmjlzuhEZGYg//pBAq3V/d5aZSSM1lebbs5hz//25uPRSE+/GsLdbpmngxhvl+OKL/scYOZJGVhaNuDgGkZGsW0urZS2S+noSNTUEysoIm7Ezc6KjdVi4sAPXXhuGuXP7u8vcpa6OwIMPyvjmlTExDNavN+Dqqymn3oNr1c7FGDo7OxEUFMRnmYWFhbm1ezYajcjNzYVMJsOUKVP8bqzwQJjHs9ra2mAwGBAZGcnPkDF3+dmaNWMrNrN8+XLMmDEDc+bMwc8//4yenh688cYbgp3zzJkzkZ2djc2bN/OPjR8/HhdffDGeeeYZwd4HGEbCwjAMamtrUVpaipSUFGRmZgp6bhqNBrt27cKiRYucvtG4LJi2tja+BxknKtzFBLCV32vXyrBrl/2bLyiI+ncREHbXFxvLQCbzrthMnUojMpJBW5sJRUXyARdhZ1AqGVx4IdvKxZbb75ln9Fi+vJ1fMNVqNSIiIhATE4OYmJh+u3KKAtavl+GFF6SCnB8AzJ5N4eyzNUhJyUNOTgjGjh0rmItDq2Ubn77wggxaLQGJhMGtt5qwdq0RZq22XIbLmOJcZgAsXGbOuLIMBgOOHDkCpVKJyZMn+33fq4HguigXFxdDp9OBoigEBwe7nM581lln4YorrsDatWsFP0eDwYDAwEB8+eWXuOSSS/jH7777buTn5+Pvv/8W9P18yjZ196YzX8BDQkIsmtgJBbfjYhjGqfPkamYoisKsWbOgUChsigoAZGfT+PlnPf78k8S6dbJ+Y2QBQK1mHwsKYmAyMdDrhblZ2boLe9YSg4gIBiEhfTvsfzt7Qyplu/xKpWxyAkGwGWqtrUBrK2GR4Zafz52rMLvWM86gEBvL4PPP+1++BMHgpZeMuPVWCgDbY4qrnuZcP8ePH+d35TExMQgNDYVEQuCxx4y44goTnn9ehh9/lLg0DTQ4mMHs2TRmz6YwaxaNnBwaBkMH8vPzkZqaitTUVEFEhabZfnSPPirDiRPs5zp3LoUXXzRg0iTP94gymQzx8fGIj48HTdN8A8jKykqLlilcjMEavV6PI0eOIDg4GBMnThz2ogKwa0J1dTVIkuTjFa6mM2/btg0lJSVes+za2tpAURTiuJ5G/xIXF4fm5mbB38+nhMUddDod8vLyAACzZ89GcXGxV+becxeCM1Phent7ceTIEYSGhvI3F3dO1qLCQRDAggU0zjpLj+++k+CJJ2Q2U1zZnmDs74eEMDAY4LUxxlot4ZGbSmjOPptCeDjDd+G1JiSEwRtvGHDxxf2/f/MhU+a78tzcXJAkyS+WY8dG4f33GajV7MC1oiLW3dXbS0CtBgIC2LY8oaGsm2zMGAbp6Ww2mPnX2traiqKiIowdOxbJya6PT7bFvn0kHnxQxsdvkpNpPPmkEZdf7lo3Y2chSRIRERGIiIhAeno6tFotbwGWl5dDqVTyLrPw8HBeVCIiIjBhwoRh0ZpkIKzTqDmLjhNn80B9XV0djh49itBQtmtCe3s7pk2bhl9++QW33347Pv/8cwtrwhtYfyfObpRdxa+FpaurC7m5uYiKikJmZiY/DMgbwsLtJCiKcugOaG1tRUFBAUaOHInRo0f3K6gaCIIALr6YwgUXUPjsMwmeekrWbyIgR09P3wURGdk3tnc4ERrKICeHhlyOfkWm5mRns1MO09IG3rVb78o7Ozt5S4YLZMfExGD27GiceabrRXyNjY0oKSnBxIkT++0Q3aGigsC6dTK+NUxwMIN77zVi1SoTBqFwnYeb1DhixAi+GJATUM61w6XtniqiUlxc7LA2xzydefTo0Xw6c21tLS6++GLI5XJQFIXbbrvN7cQgZ4iOjoZEIulnnbS0tAhyjVrjUzEWhmEcdhA2p7GxEUePHsWYMWMs3AyFhYUIDAzEmDFjBD+/3377DfPmzbPpAuBiPOXl5cjMzERCQoJd15crGAzAd99J8PbbUuzZ45yZHBTEwGiE37bUJwgG06ezAfPSUpLPdLJFcDCDBx80YuVKk8dTDs0D2a2trejq6kJISAjvMgsODh7we6ytrUVlZSWmTp3qdB86ezQ1EXjmGSk++EDK1w5dfz0bR7GaQzek9Pb24vDhw1AqlXz7FK7IMCYmZti0gjeHc7/39va6XfD522+/4aGHHsLo0aNRU1OD48ePY968efj++++9Us8yc+ZMTJs2DZs2beIfmzBhAi666CLBg/d+Z7EwDIOysjKcOHECU6dORUyMZYqpJ1MkB8JekSTX2PLkyZOYPn06wsLC+CQET0QFYOetX345hcsvp1BcTOCdd6T47DMpenvtH9O8hX54ONuO3tHrfYGgIAbp6QwIgk0kMG9HYwuSZHDVVRSeeMKIhARh9kYEQSAoKAhBQUFITU2FwdBX+1FTUwOZTGYRyDa3QLli3IaGBkybNq3fXBFX6OgAXn5Zhs2bpbwr8txzKTz+uAETJ/rMPhAAmy155MgRJCcn8zUbXJuZtrY2VFVVQS6X8y4zLi3Xn2EYxqI1jTuismvXLixfvhyvvvoqrr/+ehAEgerqauzatctrRZJr1qzBtddei5ycHMyePRtvvfUW6urqcNtttwn+Xn5lsRiNRhQUFECr1SI7O9vm7IKysjJQFIUJEyYIfn5//vlnv0XDYDAgPz8fRqMRWVlZCAgI4N1fnoqKPXp6gK1bpXjrLanNBpeOCApi/g20M9Bohu4Gj4tjEBPDtpShKDj9dygUDK691oS77zY55fYSCpqm+3XL5cblRkZGoqqqCu3t7XavS2fo6gI2bZJi40YZ3/Zm1ixWPE87bfB7ew1EV1cX8vLyMGLECKSlpdl8DdcN2F6X4YH6Z/kanKh0d3dj2rRpbp3/3r17sXTpUrz44ou4+eabB9Wa27RpE55//nk0NTVh4sSJeOWVV3D66acL/j4+JSwA/p0J3p/e3l7k5uYiKCgIkydPthvnqKiogFarxaRJkwQ/t507d2Ly5Mm8i4M7p+DgYEyaNIkvhgLY3a+3LxiGAUpKCPzwgwTffSdFQYF7GThSKQ2ZjAZBsIE8iiKh03mezRMQwCA6mm33wr4PKyLuFEGmp9NYtsyEa64xDerIXFtw7p7W1la0tLSgp6cHJElixIgRSExMdHmmRnc3sHmzFK++2tfZeMIEGo8/bsTixd4JzHtKZ2cn8vLykJaWhpEjRzr1O+ZdhltbW9Hd3Y2QkBDeChzMNjPuwHVm7uzsRE5OjluicvDgQVx88cVYv349Vq5c6dN/ryf4hbBwAfGUlJQBawGqq6vR1dWFqVOnCn5uu3fvxrhx4xATE4O2tjbk5+cjJSUF6enpFvnoQ5ViWVND4PvvJfjhBwn27SMFq8fgkMsZBASwAsFdNVy/LL2ehlYLmEzCWUFcv7Crr6aQk0P73AJrMpmQn58Pk8mE+Ph4dHR0QKVSQaFQ8HGZ8PBwu9dDezvbVXnzZhnf8mXcOBoPPWTE0qXOFTgOBdzk1fT0dKSkpLh9HM7VyLU2IUmSt2S41vO+AsMwKCkpgUqlcrszc25uLpYsWYJHHnkE99xzz7AVFcAHhcVgMPALNJcfXllZiczMTCQm2u6vZU5dXR1aW1udHsjlCnv37uUzO8rKyjBhwgQkJibyBU/ecn25Q3s7sG+fBHv2kNizh0R+PgmK8o1zs4dUytaCnH02hbPPpjB5MuOzi6vBYEBubi7kcrlFZTlFUXwqc1tbG2ia5nfkXPV/QwOBV1+V4v33pXw8bOxYGg8+aMRll1HwofW0H21tbSgsLMS4ceOcuh+dxTw7r62tDTqdji9oFbLNjDsIISpFRUU477zzcN999+GBBx7wmXXCW/issFAUheLiYnR0dCArK8vpYGhDQwNOnDjh0oAdZ9m3bx+kUil6enqQlZWF8PBwQTK/BoPeXrYuY98+CYqLCZSUkKisJIY0PTk2lsGUKTRmzGAtklmzaJdntw8FWq0Wubm5CA0NRWZmpl2LxLwle2trK8rKgJ9+ysSOHXF8AenkyTT++18jLrnEtwUFYFNTi4uLMWHCBMR7OS1NrVZb9OXiBnPFxMS43WbGHbhpl+3t7W6LyrFjx7B48WKsWrUKjz76qE+vE0Lhk8Ki0WiQl5cHkiSRlZXlki+zubkZVVVVbs1NcYTRaMSuXbtAkiRmzpw5KEF6b6PTAWVlrMiUlZE4cYJAQwPbEr6hgbDILnMHkmQQHc0G6rn5L6mpDDIyaGRm0rBK6PMLuLhabGwsMjIynPreDx0isWGDFN991zePZ+LENlx9dT0WLyYRGzu4i6U7NDc349ixY5g4caJH4yfcwWg0WiROALBoZe+tjslcBmpraytycnLcsprKysqwePFirFixAk899ZRPf8dC4nPCcvLkSf7GnTBhgsvxitbWVpSWlgraClqtViM3NxdGo5Gfr8ClHQ9GkH4oYBg2S6mjg0BPD1uM2dODfyvQDaitrYVcLkdcXBzU6h4YDJ2g6W5ERSmQmBiK9PRwjBgRCKl0+Hw2XMCay4Jy9L0bjcC330rw+utSHDrUZ4qcf74J//2vCdnZer7tR2trq0X1v6/FFxobG1FaWorJkycjOjp6SM+FYRh0dXVZ9IALDw+3GM0s1PscP34cLS0tbotKRUUFFi9ejP/85z94/vnnT4n2Nhw+JSwMw2DPnj2IjY3FiBEj3FqwhZibYk57ezvy8/ORlJQErVaLkJAQPgvmVLpQOLq7u5GXl8fv2M0/A4PBwLt92tvbnQ5i+wNcbGGggHVbGztL5q23pGhs5MZPM7j8cgp3321EZqbtNvbcYtna2gqdTmeRkjtYI3xtUV9fj/LyckEKPr2BVqvlxbmjowMBAQG8QLt7zZmLyrRp02wWRA9ETU0Nzj33XFx00UX4v//7P7++9t3Bp4QFsAzeu0NXVxcOHz6MBQsWeHwu9fX1KC0txfjx45GUlIRjx46hvb0dSUlJiI2NdeuC82e4xZVLMXUk/OZB7NbWVgCs+yI2NtbnduQD0dTUhGPHjiEzM9NmbIFhgAMHSLz3nhRffy3hRzzHxjK45RYjVqwwwZWuGWq12qL6Pzg4mBfowUzJra2tRVVVFR9P9HW4a44TGpqm+zV/HAiGYVBeXo7m5mbk5OS4dY/X19fj3HPPxaJFi7Bp06ZTTlQAHxQWT6dI9vb2Yu/evVi4cKHbx6BpGmVlZWhsbERWVhYiIiJAURQMBgNaWlrQ2toKlUqFoKAgxMbGIjY21ql2H/5MQ0MDSktLMWHCBCS4WEjCuS+4z858Rx4TE+PTRXJ1dXWoqKjAlClTEBUVZfFcZyfw2WdSvPeeZaHq1Kk0Vq404tJLKXj6p5lX/3OTH7nPzZtV7NXV1aitrXUpccaX4FrZm8+yDw0N5a1AW/cr1z2hqakJ06ZNc8ut1tTUhEWLFuH000/H22+/7VcbKCEZdsKi0+mwc+dOl+ammMNV9+t0OmRnZ9sN0huNRv6Gb2trg0wm40UmPDx82IgMwzCorKxEfX09pkyZIog7RK1W8yLT3d3N3/CxsbGC+cg9hfu7T5w4YbG4MgybXcdZJ1zLFaWSwaWXUlixwoQZM7xTc8NNfuSsGfPqf2d35ANh/ndPmzbN45HevoL5LPv29na+PU90dDTfnqeyshINDQ3Iyclx6zo8efIkFi9ejOnTp+ODDz44ZUUFGIbCYjQa8ccff+Dss892eRSqRqOxGFBk3nfMUZCemybHLZYA+IXSm/PEvQ1N0zh27Bif8u2NHkZ6vZ5fKFUqFQICAvjPbqgypbi6BW5AW3BwMDo72TY6770nxdGjfdbJhAk0brzRhKuuMnk0YMudc+Sq/1tbWy125O42fuRiCydPnnR7x+4PWAu0wWBAQEAA9Hq927GktrY2nHfeecjMzMQnn3zi92OYPcXnhMXT8cQ0TWP79u0488wzXXKxqFQq5OXlITExEWPHju03PtTZm5RhGHR2dqKlpQUtLS38rjI2NhbR0dFeS40UGqPRiMLCQr4H2mC4q0wmk0VxIUEQfFxmsASam6/R29uL7OxslJQE4e23pfjyyz7rJCCAtU5uvNF71omrWAu0q4kTXL1GW1ub2wFrf4T7u5uamhAYGIje3l4+phUdHY3Q0NAB732VSoXzzz8faWlp+OKLL/zmHvcmw05YAMft7W1x4sQJlJSUICMjAykpKYIVPXK7Sk5k1Go1H1uIjY312dgCNzxNoVDwlttgY16J3draCr1ebyHQQrh9rDGZTP+6QSlUVk7HW28FIC+vT8zGj++zTiIiBH97weAsaO6z46r/uR/rhY/rgdXR0YFp06YNaZX7YFNVVYW6ujrk5OQgODgYBoPBYjSzeRp4ZGRkv3uhs7MTS5YsQUJCAr755huvXJf+yLAUlt9//x0zZ84c0D/MFUA1NDTwJrA3K+m5WR8tLS3o6upCaGgoYmNjedeFL9DT04O8vDxER0dj3LhxPpHRwjCMRVymp6cHYWFhvEALsbvmRkn/808c3n13HGpr+1KFL7mEws03mzBrlm9YJ65gXf1vXvcRExODgIAAFBcX8xbaUKY2DzZcgoK9WBK3ueFiMxqNBpGRkdBoNIiKikJSUhIuvvhihIWF4bvvvjulPruB8DlhoWkaRqPRo2P89ddfmDp1KiIcbCu53alGo0F2djaUSuWgVtKbZ5i1t7cjMDCQD/4PVZfX9vZ2FBYWCjqj3RvodDoLt09gYCAvMs64LqzRarU4fDgXr702BT/+yFaVx8QwWLnSiOuvN/llhwB7mI8XVqlUIEkSJEkiMzMT0dHRPvudC01NTQ1qampcSlDQaDRoa2vDq6++irfffhuRkZEICAjAu+++i/nz55/ycRVzhqWw7Nq1CxMmTLBbJazRaJCbmwuFQoEpU6Y4HaT3FiaTCW1tbWhpaeEzzLiFcrAKC7lxuu6kEw8l3GfHLZZch1zOdTFQXIZr0fLdd5PwxhtJkEgY3HuvCffea8RwDjNQFIW8vDzodDqEhoZCpVIBgMVnN1wXSq4+Z9q0aQh1ozmdRqPBFVdcgZ6eHowdOxY7duyAyWTiuxaL+OEESWdwNEWyo6MDeXl5iI+PR0ZGBgB2ceIEZSh2bFKp1GIGO5dhVlRUBIZhvFpYyDAM72fOysryyepqR1h/dly2T2lp6YCJE9ygqoSEZGzdynbq3bjRgOuu884EUl+Ba/fPMAxmzZoFqVRqUf1fXl5u0V2Yc5kNB+rq6jwSFZ1Oh//85z/Q6XT4448/EBoaCoqicOjQIa8K8ebNm7F582bU1NQAADIzM/Hoo49i8eLFANj7+PHHH8dbb72Fjo4OzJw5E6+//joyMzO9dk6OGJYWy4EDB5CSktKvrXdDQwOOHTuGsWPHYsSIEXw8hSAIn4glWGNeWNjS0gK9Xs8HEmNiYjzOPuFGKnOTD701EnUoME+caG1tRW9vL8LDw/mYlkajQUFBAcaMGYPOzpGYPVuJkBAGDQ1an+8y7AlGoxH5+fkgSRJTp061u1Hxlep/Iamrq0NlZSWys7PdKvrU6/VYtmwZWltbsWPHjkHtRvDDDz9AIpFgzJgxAIAtW7bghRdeQF5eHjIzM/Hcc8/hqaeewgcffICxY8di/fr12LVrF8rKyoakFsnnhGWg8cTOcPjwYcTFxfE9nbj8/Pr6ekydOhVRUVF+0+6ewzyA3dLSgt7eXkRERPALpas7SpPJhMLCQuj1en6k8nCGiy1wcRmAdfukpaUhODgE1dXsGIGFC31vBLBQGI1G5ObmQiaTWcyQGQjzTKm2tjZIpVKLTCl/qNOqr69HRUWF26JiMBiwfPly1NfX4/fff+/XhWEoiIyMxAsvvIAVK1YgMTERq1evxgMPPACAFcG4uDg899xzuPXWWwf93IalsOTl5SEiIgKpqan8AsplvQQFBfmdqNiCWyhbWlrQ2dmJkJAQXmQGsjy4dGJuSNVw9aXbor6+HsePH0dKSgp0Oh2/UHIxrYiICJ+0Xj3FYDDgyJEjCAwM5Mdou4Ot4kKu+j8mJsYn021PnDiB48ePIzs72y0rw2QyYcWKFSgrK8Off/6JmCHO5qAoCl9++SWuu+465OXlISAgAKNHj0Zubi6ysrL411100UUIDw/Hli1bBv0ch+WKIpFIQFEUP5BJJpNh5syZkMlkfCqzP4sKACiVSowYMQIjRozguwq3tLSgqqoKAQEBfIaZdZZUb28v8vLyEBkZifHjxw/LRdQW5rGkadOm8QsMF9NqbW3F0aNHQVEUH5fx5qyPwUSn0yE3NxchISEOB5M5A0mSiPr/9s48KqorXftPgUqY50EcAJlESxlKYjtrEhVUpNDYScxVvG283pto2qQTXSsmnXS61et4jSYm2ulW08bWjuCUKBGZjENU5tEBZR6KeYaazvn+8NunKUCFooZTxf6txVpJFRa7DtR+zt77fZ/H0RGOjo7w9/fnMuwrKipQUFAw6O5/TUNERV0jTYVCgfXr1yM/P1/vopKTk4Np06ahq6sLVlZWOHv2LCZMmICbN28CAFx7OJ26urqipKREH0Pl34oF6Dv3fiDk5eVxXdwuLi4ICAgA8GQSAYw3QwX4d/c6qTAzNTXl7sYBIDs7u195IsYE6Veqqal55llSXz0fg9lu5AOdnZ1IS0uDvb09JkyYoNXfOfHj6hmb4OTkpJeVYEVFBe7fv88ZyQ4UpVKJDRs24NatW0hOTtZoFLM6yGQylJaWoqmpCTExMfj222+RkpKCpqYmzJgxA5WVlSoVnevWrUNZWRni4uJ0PlZeCstgrfNTU1NRX18Pf39/jB07FgzDcK83VO7QgX9vW9TU1KC6uhoKhQK2trbw8PCAk5OTQeyNDxaGYZCbm4vW1lauX6m/kIbW2tpaNDU1cQfYhuJmTbzvSLOrLsfbV/d/d8NMba8ESTiZut5fDMNg06ZNSEpKQlJSEsaOHauFUQ6OV155Bd7e3tiyZQvdCtMmxPa6oaEBDg4O8PDwMIrzFHUxMTGBg4MDWlpawLIs/P39IZVKUVhYiNzcXK1bpOgbcr4mk8kQGho64PdoYWEBDw8PeHh4qNjXl5SU6KXXaCC0tbUhLS0NI0eOhK+vr87/9slK2dnZWWUlWFJSgry8PJXuf037klVVVQ1aVDZv3oz4+HgkJyfzUlSAJ/OdVCqFl5cX3NzcEB8fzwmLTCZDSkoKdu7cqZexGY2wKBQK5OTkoKWlBWPGjIFUKh3SogI8+YAQY8HQ0FCu7NDX15dzxi0rK0N+fr5KKa4xeEXJZDKurHbKlCmDLlAYMWIE3N3d4e7urnI3npOTA4ZhuEnS0dFR78UQra2tSEtLw+jRo+Ht7a33v32BQABbW1vY2trCx8dHJfXx4cOHnHOCs7PzoB2tq6qqUFBQoHbEA8Mw+Pjjj3HhwgUkJSXBy8tL7bFoko8++gjh4eEYM2YMWltbcerUKSQnJyMuLg4CgQCbNm3C9u3b4evrC19fX2zfvh0WFhZYuXKlXsZrFFth5HDS1NQUQUFBqKqqQllZGfz8/LishaEGEdqurq7nlhN3dXVx/R6NjY2wsrLiDv/5cAA7UMjfg6WlJYRCoVa3/LpnsNfW1nJ+UkSkdW00Spo+PTw8eDMpPouejtYAuFLmgYp0dXU18vPz+wxl6w8sy+Lzzz/Hd999h6SkJIwfP37Ar6Et1q5di4SEBFRVVcHW1haTJ0/Gli1bMH/+fAD/bpA8fPiwSoOkUCjUy3h5KSxyuZw7aH8ezc3NSE9Ph5OTEyZMmADgycTy6NEjLhuFTJJDRWSkUikyMjIwfPhwTJ48eUD72XK5nKswIwew5PrpKx9lILS3tyM9PR2Ojo4ICAjQ+Xh7NhZ2LwPXtkg3NTUhIyMD3t7evN2+eRYkcoKsZohI96f7XyKRIDc3F4GBgU+1cnrez/7f//1fHD58GImJiXqbkI0FgxaWqqoq5ObmwsfHBx4eHr0O6ckfqkQiQU1NDZRKJZycnODq6mpwuev9hZQTkyqgwQgpyRAnqxniw8VXkSZ366NGjYKPj4/eRZCUgfesktJGymhDQwMyMzPh5+eH0aNHa+x19Ul7ezsnMqR4gqxmupfRE1GZPHmyWuXALMti37592L9/PxISEhAUFKThdzL0MEhhIfGpRUVFCAwMhLOz83PPU8gBYk1NDSQSCWePYmgBXM+isbERmZmZGDNmjMb31omFOOn8JyJN+j30fa5QX1+PrKwseHt7w8PDQ69j6Qsi0kRoAKicywzmJqeurg7Z2dkYP3683ktitUX3KHCSk0IaMouLi7l5YKCwLIuDBw9i165d+PnnnxEaGqqF0Q89eCksz4onViqVyMnJQVNTE0QiEaysrKBUKsGybL/7U4g9ClnJkAAuV1dX3nYPP4/q6mrk5eXB399f63es3at8ampq0NnZqXKuoOvrR+5YAwICDGJiJStpcv2kUqna14+YlU6cOBFubm5aHDV/IGX0paWlKkmjpJS5v+daLMvi8OHD+Pzzz3H58mVMmzZNyyMfOhiUsBArEoFAgODgYAwfPlwjGSodHR3cnXhLSwtXIeXi4sL7pjiWZTkb8MmTJ6u1vzxYuodwtbS0wNbWlrt+2q4wI53VkyZN0rvVhjqQmxyykmlpael3ABy5mZg0aRLXADtUqK2tRXZ2NiZOnAgrK6te14+IzNP6jViWxdGjR/HRRx/hp59+wqxZs/TwLowXgxGWlpYWpKWlwdHRkbOC1kYnPamQIh5c5EOuqaRCTULyumtqahAcHKyWDbim6RnCZWlpyV0/TTYVsizLJQA+L9TNkOiZXU/seXqW4pKucn3dTOiTuro6ZGVlQSgU9rIx6dn9P2LECG7LkXT/syyLEydO4IMPPsCFCxcwb948Pb0T44WXwtIznri6uho5OTnw9vaGp6enzjrpScpjTU2NyiTp6uqq9zJcpVKJ7OxsdHZ2Ijg4mJe9J2RfnFSYkQ/5YA+viUWLRCJBSEiIXmzBdUH3UtzuxRMCgQCVlZUGmZ8zWMhZ2oQJE5679de936iurg4//PADSkpK4Ovri++++w5nz57FggULdDTyoQWvhYUYB5JtHhcXFzAMA6VSqfOmx+6TZF1d3TONHrWNVCpFZmYmTE1NERgYaBCFB+RDTrbMBALBgJIeCQzDIC8vD83NzQgJCeHdKlJbkOKJR48eoampCSYmJirnCoZ4LjhQiKgEBAQMOOWUZVmkpqbi4MGDSExMRHNzM2bOnImlS5dCLBbD29tbS6MemvBWWKRSKXJzc9HY2MjdlfKlk16pVKqIzLBhwziR0XQZaU/a29uRkZEBGxsbCIVC3pX89gcySZLDa7lcrlJh9jShVCqVyMrKglQqRUhIiM6bD/VN96RPExMT7vq1tbVx51rasEjhA6ScWh1RIVy8eBG/+93v8P3330MkEuHHH3/ExYsXMXHiROzevVvDI/43O3bsQGxsLO7duwdzc3NMnz4dO3fu5BJsAf4lQA4WXgpLZ2cnbt++DQAICQnR2CG9NiC26xKJROVOXBu9Hk1NTcjMzORNn4YmYFkWra2t3EqGVOj17FyXy+Vc4UZQUJBBrNI0BSmvr6io6HPrr+e5loWFBXf9dL2a1gZEVAZTTh0XF4fVq1fj6NGjWLFihYZH+GzCwsLw+uuvIzQ0FAqFAlu3bkVOTg7y8/O54gy+JUAOFl4KS3V1NcrKyrgGP3KQz3e7+756PYjIDLZXQSKRIC8vD76+vlwypjFCKvRI57qNjQ0cHBwgkUhgaWmJSZMmGWVj69Mg6acSiQQikeiZVWLAEwHubpHS3QySj02tz6OxsREZGRnw9/fHqFGj1HqNhIQEvPHGGzhy5AjeeOMNvc8htbW1cHFxQUpKCmbPng2WZXmXADlYeCksDMNAJpNx/SkA/0WlJ6TXg/TKkIZMV1dXODk5DaihsKSkBI8ePTLYklp1kUqlKC8vR3FxMRiGUakwM9Tc9YFAqv7q6uogEokGvMXVM+2RbDnqyrp+sDQ1NSE9PX1QbgLXrl3DihUrcPDgQURHR/Pib6awsBC+vr7IycmBUCjE48ePeWd7P1h4KSzNzc0wNTUFy7K82/pSB5Zl0dbWxq1k2tvbOcv6ZzXEkbvV6upqBAUFqZXVbci0tLQgPT0d7u7u8PLyUgkwGz58OHf9+GhbP1hYlkVeXh6ampowZcqUQfdTkS1Hci5DQszIaoZvVYXE98zX11dtUblx4waWL1+OPXv2YN26dbyYR1iWRWRkJBobG/HLL78AAG7evIkZM2agoqJCZavvv/7rv1BSUoKff/5ZX8NVG17a5q9fvx537tzB0qVLERUVBZFIZNATh0AggLW1NaytreHt7c01FJaXl6OgoKDPlEKlUonc3Fy0tbUhNDTUKA9kn0VDQwOysrLg5eUFT09PAICbmxvc3NzAMAy33ZOTkwOWZTVmj8IHSDgZ+d1rokhBIBDAxsYGNjY28Pb2RmdnJ7eSefDgAbcadHZ21vtqkHi++fj4qC0qd+7cwauvvort27fzRlQAYMOGDcjOzsb169d7PddzjMRNxBDh5Yqlo6MDly5dQmxsLH766SfY2tpyZYFTp041+ImjO+QDLpFIuDMFR0dH1NbWcuXEQ6GUtDs1NTXIzc3t1756T3sUmUymEmDG9+2enjAMw/UniUQinfzuu/twkdVgz6ZCXUHcygfj0Jyeno6IiAh88skneO+993gzOW/cuBHnzp3DtWvXVCIN6FaYHujs7ER8fDxiY2Nx4cIFvPDCC4iIiEBUVBSmT5+ud/NDTSKVSlFRUYGioiIwDAMrKyu4urpyXetDAWLRIhQKB2xT0n3Lsba2Fm1tbQaVWU/KqeVyOVcNqWtIlSO5hgzDqJzLaPPzRtw1BiMq2dnZWLRoETZv3owtW7bwQlRYlsXGjRtx9uxZJCcnw9fXt9fz7u7ueO+997B582YAT5qzXVxc6OG9LpDJZEhMTERMTAzOnTsHgUCAJUuWICoqCrNmzTL4O3tSTuzu7g5PT0+VrnVzc3OjPrhmWRbFxcWcU60mOso7Ozu5cy2yGiRVes+rrtI1CoUCmZmZYFkWwcHBvLhh6mk2OpB8lIFCRGXcuHFqu1Pn5+cjPDwcGzduxCeffMKbz8jbb7+NkydP4vz58yq9K7a2ttzZ1s6dO7Fjxw4cPXqUS4BMTk6m5ca6RqFQ4Nq1a/jhhx9w7tw5SKVSLFmyBJGRkXjppZcMrnmObP/4+Pj0ulsj1h7kLpIcXOuiIVMXdC9S0JbnGclGIfY85ubmnMjou9eD9OiQBFS+bvV2dHRw17C5uZlLGnV2dh6UDxyJUvb09OTO0wbK/fv3ER4ejrVr1+Ivf/kLrz4TTxvL0aNHsWbNGgD8S4AcLAYrLN1RKpW4ceMGzpw5g7Nnz6K1tRXh4eGIjIzEK6+8wvuD79LSUhQWFvZr+6cvaxQiMrreD9cEDMMgPz8fTU1NOrNo6S7UpNeDTJC6voYymQzp6ekwMzPD5MmTeSsqPZHJZCrnMiTEbKBVekRUBhOlXFhYiPDwcKxcuRI7d+40uM+AMWIUwtIdhmFw+/ZtTmRqa2uxYMECiMViLFy4kFdnFSzL4uHDh6isrERQUBDs7OwG9O9JQybplWEYRmMNmbqAGGl2dXXpzaKFnCmQO3FdXkOpVIr09HRYWFhg0qRJBjshdr/ZqaurA8uy/cqtb2trQ2pqKsaOHYtx48ap9bOLi4sRFhYGsViM/fv3G+w1NDaMTli6wzAM0tPTcebMGcTGxqK8vByvvPIKxGIxwsPD9boFolQqkZeXh5aWFo3cqbMsi+bmZu5MQSaTqSRk8mHPvjtyuRyZmZkAwBuLFnINich0dXWp9BtpcoxdXV1IS0uDjY0NJk6caDQTYl/XsPu5DLl5IKJC0k7VoaysDAsXLkRYWBgOHTpkNNfQGDBqYekO6Q0gIlNYWIiXXnoJkZGRWLx4Mezt7XUmMjKZDFlZWWBZFkFBQRovOiDVUWQlQxIeSUKmvidxcqf+wgsv8Hb7hwRwEaEmFWZkNTOYg+vOzk6kpaXB3t4eEyZM4NV5gKYhIWYkRM/Gxga2traoqqrCqFGjelVI9ZeqqiosXLgQc+bMwZEjR3j5NzSUGTLC0h1ilUFEJi8vD3PmzIFYLMaSJUvg5OSktQ97R0cHMjIyYGVlBaFQqJMPBJkgJRKJSgmui4uLzrefOjo6kJ6eDjs7O84LzhAg/UYkAM7a2lqlwqy/fy8dHR1IS0uDs7Mz/P39jVpUekLK6R8/fgwAXAEFOZfp77WQSCQIDw9HaGgojh07RkWFhwxJYekOcY4lIpORkYEZM2YgMjISS5cuhZubm8Y+/M3NzcjMzISrq6veJpWeJbi6jBFubW1Feno63Nzc4OfnZ7CTKjm4JqXgT0t57ElbWxvS0tIwcuRI+Pr6Guz7V5f29nbu/Xt5eamcywDol3tCbW0tFi9eDKFQiBMnTvBui5fyhCEvLN0h+fExMTGIjY3FnTt3MHXqVCxduhSRkZEYPXq02pMBsR/x9vZWu05f00ilUk5kGhsbufJRkpCpSRobG5GZmcmVlBrLpEqyebqnPPZVpUeqn8aMGYNx48YZzfvvLx0dHUhNTYWbm1svUWUYhjsfrK2thVQqhaOjIyc0ZKu4oaEBixYtgo+PD06fPq33LV3K06HC8hRYlkVFRQViY2MRGxuLGzduIDg4GGKxGJGRkQOaHMvKyvDw4UNMnDixV0Y3X5DL5dxWj6YbMkmPzmBcag2B7m7CJDbByckJVlZWKCoqgpeXl9oltYYM2f5zcXF57kqVnG2Ra1hRUYE9e/Zg7ty5uHbtGkaNGoWYmBiDb4Y2dqiw9AOWZSGRSHD27FnExsYiJSUFEydO5ETmadsaLMuisLAQFRUVapUT6wuFQqGSkDlixAhOZJ611dMXlZWVKCgogFAo5K2oagPStV5aWorq6moIBIJ+OVobG52dnUhNTe2XqPRFbW0tvv32W5w5cwYPHjyAn58f97l78cUXDeaMbqhBhWWAsCyL+vp6nD9/HjExMUhISICfnx8iIyMhFosREBAAgUCAzs5OJCQkwM7ODsHBwbyzEOkv3XsUampqnrrV0xfFxcV4/PgxgoKCNGLRYmiQjHY/Pz/Y29tz17C1tRV2dnbc4T/fLOs1BRGVwRQqtLW1YdmyZTAzM8M///lPXLt2DefPn8fly5eRn58/YD+5gXDt2jXs3r0baWlpqKqqwtmzZyEWi7nnjS1OWJNQYRkEpGb/woULiImJwZUrV+Dh4YHw8HBcvXoV1tbW+OmnnwzOXuZpkK0eMkESu3oSw0wOXLs3foaEhGjFooXvkDO1vuJ0SZRw97Mtch0HY43CJ7q6upCamgpHR0eMHz9erffU0dGB5cuXAwB++uknleZmpVKp9Wqwy5cv48aNGwgJCcHy5ct7CYuxxQlrEiosGqSlpQXHjh3Dxx9/DGtra1hZWWHRokWIiopCSEiIUS3biaiSXpnu6YR1dXWcRYuhrtQGg0QiQW5ubr+2/8jZVndrFHW3HfkCERUHBwduBT9QOjs78dprr6GjowNxcXF6vzkRCAQqwmKMccKahAqLBklPT8fixYuxfPlybN++HVeuXEFMTAwuXboEOzs7LlPmxRdfNKrae5JOWF1djfLyciiVSjg6OsLNzY0XDZm6pKqqCgUFBWrFSCuVSi7AjPjAdV8RGsKNCXEUsLe3V1tUpFIpVq5cifr6ely5coUXZ5M9hcUYM1Q0CS0C1yAFBQV4//338cEHH0AgEODVV1/Fq6++is7OTly5cgWxsbFYsWIFzM3NERERAbFYbBSZMgKBAObm5mhpaYGVlRX8/PzQ0NCA0tJS5Ofnw8HBgTu0NpZtwb6oqKjA/fv3ERgYCEdHxwH/e2KG6eLiwvnA1dTUoKCggFsR8tWiB3giCGlpabCzs1NbVGQyGaKjo1FdXc2dUfKR6upqAOi1InV1dUVJSYk+hsQr+PfXacC8+eabfT5ubm6OyMhIREZGQiaT4erVq4iNjcWqVasgEAg4kZk9e7ZB3t1LpVJkZGRgxIgRCA4OhqmpKezs7DBu3DiuIbOyshL37t3TaUOmLiEl5ZoqVDAxMYGDgwMcHBzg7++P1tZW1NTU4PHjx8jNzeWdWBNRsbW1VdumRi6X46233kJRURGSkpIMouDDmOKENQndCtMjcrmcy5Q5f/48ZDIZlykzb948XkwYz4P4Xtna2j7XTLHnobW1tTUnMoZ8FlNcXIyioiIEBwfr5A67p/+Wra0tt2Wmj4gImUyG1NRUWFtbQygUqjWxKhQKrF+/HllZWUhKSuJdaTrdChsYVFh4glKpxPXr13HmzBmcO3eOy5QRi8V45ZVXeHl3Tyxa1LGo6R68VV9fDwsLC67r31Aqo1iWRVFREUpLS/VW/SaVSlUCzCwtLTmx1sV1JKJCvO/UOQdSKpXYsGEDbt26heTk5F5VdHzgaYf3xhQnrEmosPAQhmHw66+/ciJTW1uLhQsXcpkyfLi7JxYtJKBpMBOYJhsydQVpfq2srIRIJOJFzo9cLlcJ39J20qhMJkNaWhosLS3VFhWGYbBp0yYkJSUhKSlJ7ax7bdDW1obCwkIAQHBwMPbt24d58+bBwcEBY8eONbo4YU1ChYXnMAyDtLQ0LrisoqKiV6aMriE9Gr6+vhgzZoxGX5tURhHfqO4H2gNJJtQmJEpZIpFAJBLxQuh70jNpFECfPUfqQkRlMCFlDMNg8+bNuHTpEpKSknhnd5OcnIx58+b1ejw6OhrHjh0zujhhTUKFxYBgGAbZ2dmcSeajR4/w8ssvc5ky2rgr7QmxaJk4cSLc3Ny0+rNIQ6ZEIkFtba1KQ6ajo6NeRIZlWRQUFKC+vh4ikYj3sdfAkzGTCjPSc0TsZZycnAZcMCKXy5GWlgZzc/NBicrWrVsRExOD5ORk+Pj4DPg1KPyFCouBQiY4Yvefn5+PuXPnIjIyUmuZMiUlJXj06JHa5bSDoefkqFAoVMpvddEXxDAM8vPz0dzcDJFINKiwL31BQuDIdWxvb+cSHvuTz0NEhYS0qSMq5E7/H//4B5KSkjB+/Hh13w6Fp1BhMQLIfj8RmczMTMycOZPLlHF1dR2UyHQ30wwODoatra0GR6/eeFpaWrjJsaurS0VktFGyTRJI29raIBKJDKJirz90dHRwh//Nzc2wsbHhyph7bvHJ5XKkp6djxIgRCAwMVFtUduzYgSNHjiApKYn6ahkpVFiMDJZlUVxcjJiYGJw9e5bLlCF9NKNGjRqQyHTf+uGjRUv3CGGJRMLdgZNzGU24CCuVSmRnZ0MqlSIkJMRonYlJhVltba1KpR7pOcrIyMDw4cMHJSp79+7FgQMHkJCQgMDAQC28CwofoMJixLAsi/Lyci5T5ubNmwgJCeFsxz08PJ4pMgzDICcnB+3t7QgJCTGIrZ+Ojg5uJdPS0gI7OztuclRn/EqlEllZWVAoFAgODjbIBlZ16FmpxzAMzMzMEBAQoJa9DMuyOHDgAHbv3o0rV65gypQpWho5hQ9QYRkisCyL6upqlUyZSZMmcSLj4+OjIjIKhUJlQjXEu3TSkCmRSLicetIr059Dd4VCgczMTLAsi+DgYF7aqGgbhUKB9PR0KJVK2NjYoK6uDizLcluPz4oRJrAsi2+++QZ//vOfERcXh9/85jc6Gj1FX1BhGYJ0z5Q5c+YMEhMT4e/vz22X2draIjo6Gu+//z4WLFhgFBNqz4bM5zUSyuVyZGRkwNTUFEFBQUZlGtpflEol0tPTYWJiwl0D4mpNVoVSqZRzte7LcJRlWfz973/H1q1bcenSJcycOVNP74aiS6iwDHFItVX3TBkLCwv4+Phgz549Rmf3D/y7kZBs85iZmcHV1RUuLi6wsbHhDqnNzMwwefLkISsqGRkZAMD5v/WEVJgRwW5ra4O9vT1sbGxgamoKLy8v/OMf/8CHH36IixcvYu7cuTp+FxR9QYWFwpGXl4cFCxZgwoQJsLGxQVxcHEaOHImlS5ciKioKwcHBRicyPRsyTUxMwLIsLC0tERISMmRFpfsWYH+vQWdnJ2praxEXF4c//OEPGDduHCorK3HgwAGsXbtWy6Om8AkqLBQAT2J0/f39sXHjRvzxj3+EQCBAW1sbLl++zGXKODg4ICIiAlFRUQgNDTW6SbejowOpqakwMTGBQqEAAG67zFDyUAYLERWGYQZ1rnT8+HEcOHAA1tbWyM7OhqenJ6KiovDpp5/qrQjk0KFD2L17N6qqqjBx4kTs378fs2bN0stYjB0qLBSOjIwMFafW7nR2duLnn39GbGwsLl68CAsLCy64bNq0aQZ/DkNcmknqIQCVGGalUqnS9W9sogqoVsCFhISo/Tu9ePEifve73+H777+HWCxGW1sb4uLikJKSggMHDujF++306dNYtWoVDh06hBkzZuDw4cP49ttvkZ+fzyt/MmOBCgtlwHR1dSEhIQGxsbE4f/48TE1NuUyZWbNmGVxJbnt7O9LS0uDi4tKnS3P3hkyJRMIdWGuzIVPXMAyDzMzMQYvK5cuXsXr1ahw7dgwrVqzQ8CjVZ+rUqQgJCcHXX3/NPRYQEACxWIwdO3bocWTGCRUWyqCQy+VISUnhnJjlcjkiIiIQGRmJuXPn8r5Dva2tDWlpaXB3d+9Vct0XfVmiEN8tZ2dngyzLZhgGWVlZkMlkCAkJUVsoExIS8MYbb+DIkSNYuXKlhkepPjKZDBYWFvjhhx8QFRXFPf773/8emZmZSElJ0ePojBMqLBSNoVAoVDJl2trasGjRIojFYrz88su8y5RpaWlBeno6xowZg3Hjxqm1RUNCtyQSCVpbWwfdkKlrNCUq165dw4oVK/Dll19i9erVvIo6qKysxKhRo3Djxg1Mnz6de3z79u04fvw47t+/r8fRGSeGvTFO4RXDhg3D3LlzMXfuXHzxxRdcpsyWLVtQX1/PZcosWLBA79Ywzc3NSE9Ph5eXFzw9PdV+HUtLS1haWsLT0xNdXV3cSubBgwec75a+kh2fB3HLlkqlEIlEaovKjRs38Nvf/hb79u3jnah0h8YI6w66YqFoHYZhkJqaymXKVFZWYv78+RCLxQgLC9N5pgwJKfP29tbawa1MJuNEpnuyo6urKywtLfU+oRG7ns7OzkGJyu3btyEWi7Ft2za88847en9ffUG3wnSP8ddPaoht27Zh+vTpsLCweGqueWlpKSIiImBpaQknJye8++67kMlkuh0oDzExMcGLL76IXbt24f79+7h+/TqEQiF27doFT09P/Pa3v8X333+PpqYmaPs+p76+HhkZGfD19dVqNdCIESMwevRohISEYM6cOfD09ERbWxtu376Nmzdv4uHDh2hubtb6++0L4tTc0dExqO2v9PR0LFu2DJ999hlvRQV48rsQiUSIj49XeTw+Pl5la4yiOeiKpZ98+umnsLOzQ3l5Of72t7+hqalJ5XmlUomgoCA4Oztj7969qK+vR3R0NJYtW4aDBw/qZ9A8h2VZ5Ofnc3b/BQUFmDdvHpcp4+joqNHJiiRfBgQEYOTIkRp73YGgVCpVuv6HDRum1fjgnhBRaW9vh0gkUrvYICsrC4sXL8aWLVuwefNm3ooKgZQbf/PNN5g2bRqOHDmCv/71r8jLy4OHh4e+h2d0UGEZIMeOHcOmTZt6Ccvly5exZMkSlJWVwd3dHQBw6tQprFmzBjU1NXqJEDYkWJbFw4cPOZHJysrCrFmzEBkZiYiIiEFnykgkEuTm5kIoFMLV1VWDI1cfhmFUuv4FAgGcnZ3h6uoKe3t7jTdksiyL3NxctLa2YsqUKWqLSn5+PsLCwvDuu+/ik08+4b2oEA4dOoRdu3ahqqoKQqEQ//d//4fZs2fre1hGCRWWAfI0YfnjH/+I8+fPIysri3ussbERDg4OSExM7DM7m9I3LMuiqKiIy5S5e/cufvOb33Amme7u7gOazKqqqlBQUIBJkybB2dlZiyNXH4ZhVBIyNd2QybIs8vLy0NLSMqigsnv37iE8PBzr1q3Dn//8Z4MRFYpuoWcsGqK6urrXnbC9vT1GjBiB6upqPY3KMBEIBBg3bhw+/PBD3LhxA48ePcLy5ctx8eJFBAQE4OWXX8YXX3yB4uLi555RVFRUoKCgAIGBgbwVFeDJOZSDgwPGjx+PWbNmcVEFDx48QEpKCrKzs1FdXc1ZzQwEsuVIIpXVFZXCwkIsWbIEq1evxueff05FhfJUhrSwfPbZZxAIBM/8Sk1N7ffr9fVBoyWNg0MgEGDs2LHYtGkTkpOTUVpailWrVuHq1asIDAzE7NmzsXfvXhQWFvYSmaKiIty/fx/BwcFwdHTU0zsYOAKBAHZ2dvDz88OMGTMQGhoKS0tLPH78GMnJycjIyEBFRUW/CkOIqDQ1NQ1KVIqKirBkyRKsWLECO3fuHBK+aRT1GdJbYXV1dairq3vm93h6eqo0utGtMH7Asizq6upw7tw5xMTEIDExEePHj+eCy06ePIm7d+/i9OnTsLW11fdwNQaJYa6pqUFrayvs7e25rv+eDZkkVrqhoQFTpkxRu2GztLQUYWFhCA8Px1dffUVFhfJchrSwqMPzDu/Ly8u5iqPTp08jOjqaHt5rGZZl0djYiAsXLuDMmTO4evUqhg0bhlWrVmHNmjWYOHGiUU6GxKZeIpGgubmZa8h0dXXFCy+8gHv37qG+vn5QolJZWYmwsDDMnTsXhw8fNkrzTYrmoZ33/aS0tBQNDQ0oLS3lrMUBwMfHB1ZWVlyOyapVq7B79240NDTggw8+wLp166ioaBmBQAAHBwdER0ejoKAAd+/exfvvv487d+7gpZdewsiRIxEZGYmoqCgEBQUZjciYm5tj7NixGDt2LKRSKRe4VVhYiGHDhoFlWUyePFltUamursbixYsxffp0KiqUAUFXLP1kzZo1OH78eK/Hk5KSuGS80tJSvP3220hMTIS5uTlWrlyJPXv28N6I0Vg4fvw4Pv74YyQkJMDPzw/AE5PJS5cuITY2lsuUIXb/xpgpQ7a/ampqYG1tjaamJpibm3O9MtbW1v0686utrcWiRYswadIknDhxwuBjESi6hQoLxWiQy+WoqanBqFGj+ny+o6ODy5T58ccfYWlpiaVLlyIyMtIoMmVYlsWDBw9QU1ODKVOmwNzcHAqFAvX19ZBIJKirq8Pw4cOf25BZX1+PxYsXw9fXF6dOnTKKWACKbqHCQhmSdHV14erVq1ymzPDhw7lMmZkzZxrcZEoaTKurqzFlypQ+TS+VSiUaGhpUGjKJyNja2mLYsGFoamrCkiVLMGrUKMTExBhkDABF/1BhoQx55HI5kpOTObt/pVKJJUuWQCwWY+7cubyfXFmWRWFhIaqqqp4qKj1hGIZLyCwpKcG6deswdepUSCQSODg44OLFiwZh+0/hJ8ZxikmhDILhw4dj/vz5OHz4MCoqKnDmzBlYWlrinXfegZeXF9atW4cff/wRXV1d+h5qL4ioVFZWQiQS9due38TEBI6OjggICMD8+fPxzTffoKGhAffu3cOvv/6K6Oho/Otf/0JbW5uW38HTocavhgsVFgqlGyRT5quvvkJpaSkuXrwIZ2dnbN68GZ6enlizZg3OnTuH9vZ2fQ8VLMvi0aNHqKysxJQpU9TOuJFKpfjyyy9hZmaG6upq/PLLL/Dz88Of/vQn3Lp1S8Oj7j8ymQwrVqzA//zP//T5vFKpxOLFi9He3o7r16/j1KlTiImJwR/+8Acdj5TSE7oVRqH0A4ZhcPfuXS5TpqqqCgsWLEBkZCTCw8NhbW2t8zE9evQI5eXlEIlEsLKyUus1Ojs78dprr6GjowNxcXG9SuP54BxBjV8ND7piGSIcOnQIXl5eeOGFFyASifDLL7/oe0gGhYmJCaZOnYrdu3fjwYMH+OWXXzBhwgTs3LkTnp6eeO2113SWKQMAjx8/RllZ2aBERSqV4j/+4z/Q0tKCS5cu9TkR61tUnsWtW7cgFAo5UQGAhQsXQiqVIi0tTY8jo1BhGQKcPn0amzZtwtatW5GRkYFZs2YhPDwcpaWl+h6aQWJiYoKQkBBs27YN+fn5uHv3LkQiEQ4ePAgvLy8sX74cx48fR319vVZEpqioCKWlpYMSFZlMhtWrV0MikSAuLu6pZxh8hhq/8hcqLEOAffv2Ye3atXjrrbcQEBCA/fv3Y8yYMfj666/1PTSDRyAQQCgU4rPPPkNWVhays7Mxe/Zs/O1vf8O4ceMQERGBb7/9FhKJRCMiU1xcjJKSEohEIrW33+RyOdauXYuSkhJcuXIFDg4Ogx5Xf6HGr0MDKixGjkwmQ1paGhYsWKDy+IIFC3Dz5k09jco4EQgE8Pf3x0cffYS7d+/i3r17CAsLwz//+U/4+fkhPDwcX3/9NSoqKtQSmeLiYhQXFw9KVBQKBdavX4+CggLEx8fDyclJrddRlw0bNqCgoOCZX0KhsF+v5ebm1mtl0tjYCLlczpswt6GKYbcaU55LXV0dlEplrw+aq6sr3S7QIgKBAN7e3ti8eTM+/PBDlJWVccFlW7ZsQWhoKBdcNnbs2OfeYZeUlKCoqGhQoqJUKrFhwwakp6cjOTlZL5Ovk5OTxsRs2rRp2LZtG6qqqjjj1ytXrsDMzAwikUgjP4OiHnTFMkToOXHR7QLdQTJl3nvvPaSkpKCkpARvvvkmrly5gsmTJ2POnDlPzZQBnvRqPH78GCEhIWpXOjEMg02bNuHGjRu4evWqyoE3XyktLUVmZqaK8WtmZibXW9Pd+DUjIwMJCQnU+JUn0HJjI0cmk8HCwgI//PADoqKiuMd///vfIzMzEykpKXoc3dCGZVnU1tZymTJJSUkICAhAZGQkxGIx/P39sWvXLigUCmzYsEHtXBmGYfDhhx/i8uXLSEpKgpeXl4bfiXagxq+GCxWWIcDUqVMhEolw6NAh7rEJEyYgMjISO3bs0OPIKASSKXP+/HnExMTg6tWr8PDwQHl5Ofbt24c333xTLbt/hmHw0Ucf4ezZs0hKSoKPj48WRk+hqEKFZQhw+vRprFq1Ct988w2mTZuGI0eO4K9//Svy8vLg4eGh7+FR+uDAgQPYsmULZs6ciRs3bmDUqFEQi8UQi8UIDAzsl8iwLIvPPvsMJ06cQHJyMvz9/XUwcgqFHt4PCV577TXU19fj888/R1VVFYRCIS5dukRFhaeQXJn4+HjMnDkTra2tXKZMWFgYnJycVDJl+hIZlmWxY8cOHD9+HElJSVRUKDqFrlgoFJ5x584ddHZ2Ys6cOb2eI9YrJFPG2tpaJVPG1NQULMti7969+OKLL5CYmIjAwEA9vAvKUIYKC4VioHR1dSE+Ph6xsbG4cOECRowYgSVLloBlWcTExCA+Ph5TpkzR9zApQxAqLBSKESCXy5GUlIQTJ07g5MmTuHTpUq+mWApFV1BhoVCMDJlMxvtwMopxQ4WFQqFQKBqFdt5TKBQKRaNQYaHwjmvXriEiIgLu7u4QCAQ4d+6cyvOkP8Pd3R3m5uaYO3cu8vLy9DNYCoXSCyosFN7R3t6OwMBAfPnll30+v2vXLuzbtw9ffvkl7t69Czc3N8yfPx+tra06HimFQukLKiwU3hEeHo6//OUvWLZsWa/nWJbF/v37sXXrVixbtgxCoRDHjx9HR0cHTp48qYfRUgjFxcVYu3YtvLy8YG5uDm9vb3z66aeQyWQq31daWoqIiAhYWlrCyckJ7777bq/voRg2tPOeYlAUFRWhurpapZTWzMwMc+bMwc2bN7F+/Xo9jm5oc+/ePTAMg8OHD8PHxwe5ublYt24d2tvbsWfPHgBPrPsXL14MZ2dnXL9+HfX19YiOjgbLsjh48KCe3wFFU1BhoRgUJEOmr3yZkpISfQyJ8v8JCwtDWFgY9//jxo3D/fv38fXXX3PCcuXKFeTn56OsrIyz7t+7dy/WrFmDbdu2Ubt7I4FuhVEMEpovYxg0NzerRB/funULQqFQJQ9m4cKFkEqlSEtL08cQKVqACgvFoHBzcwOAXumXNTU1NI6WZzx69AgHDx7Ef//3f3OPVVdX9/o92dvbY8SIETTR1IigwkIxKLy8vODm5ob4+HjuMZlMhpSUFEyfPl2PIzNePvvsMwgEgmd+paamqvybyspKhIWFYcWKFXjrrbdUnutrZUlXnMYFPWOh8I62tjYUFhZy/19UVITMzEw4ODhg7Nix2LRpE7Zv3w5fX1/4+vpi+/btsLCwwMqVK/U4auNlw4YNeP3115/5PZ6entx/V1ZWYt68eVz2T3fc3Nxw+/ZtlccaGxshl8vpitOYYCkUnpGUlMQC6PUVHR3NsizLMgzDfvrpp6ybmxtrZmbGzp49m83JydHvoCksy7JseXk56+vry77++uusQqHo9fylS5dYExMTtrKyknvs1KlTrJmZGdvc3KzLoVK0CPUKo1AoGqGyshJz5szB2LFj8d1338HU1JR7jpyNKZVKBAUFwdXVFbt370ZDQwPWrFkDsVhMy42NCCosFApFIxw7dgz/+Z//2edz3aeZ0tJSvP3220hMTIS5uTlWrlyJPXv2wMzMTFdDpWgZKiwUCoVC0Si0KoxCoVAoGoUKC4VCoVA0ChUWCoVCoWgUKiwUCoVC0ShUWCgULbBjxw6EhobC2toaLi4uEIvFuH//vsr3sDSwjGKkUGGhULRASkoK3nnnHfz666+Ij4+HQqHAggUL0N7ezn0PDSyjGCu03JhC0QG1tbVwcXFBSkoKZs+eDZZl4e7ujk2bNmHLli0AAKlUCldXV+zcuZPmylAMGrpioVB0QHNzMwBwFvLPCyyjUAwZKiwUipZhWRbvv/8+Zs6cCaFQCODZgWXUPp5i6FB3YwpFy2zYsAHZ2dm4fv16r+doYBnFGKErFgpFi2zcuBEXLlxAUlISRo8ezT1OA8soxgwVFgpFC7Asiw0bNiA2NhaJiYnw8vJSeZ4GllGMGboVRqFogXfeeQcnT57E+fPnYW1tza1MbG1tYW5uDoFAQAPLKEYLLTemULTA085Jjh49ijVr1gB4sqr505/+hMOHD6OxsRFTp07FV199xR3wUyiGChUWCoVCoWgUesZCoVAoFI1ChYVCoVAoGoUKC4VCoVA0ChUWCoVCoWgUKiwUCoVC0ShUWCgUCoWiUaiwUCgUCkWjUGGhUCgUikahwkKhUCgUjUKFhUKhUCgahQoLhUKhUDTK/wNrCSoJc8Xq1gAAAABJRU5ErkJggg==\n"
-     },
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(results_test_np[:,0], results_test_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(results_test_np[:,0], results_test_np[:,1], results_test_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  },
-  "interpreter": {
-   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/lorenz63/Lorenz63_fit.mat b/examples/ode/lorenz63/Lorenz63_fit.mat
deleted file mode 100644
index 5bedb5307c559eac88bada0ed651efc93561e3b5..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 120184
zcmbSy1zS{Y)b$J<0)mMNief7UDyV?n-K~$^UD(|%b|*Gs=h`Y3wulI#lA?6a%sDgj
zt@nE0U+_K8b*{mgVdkuRuf6u#`@ZQB)W3UBTaRW98hP{x>R*4t<Z0tQdQTfOZ^Fzu
z)BQYV&73=VQ9X}#bH<OEH-4PQ%o%<j{l?7m2%109qp^>NPZPf;P5c_Q@Mzqqv5)5e
z<3DYe9?tx=oG7ivhL3i<Z2#|LtpD%dCA~EoOa83o|BL?bb@2Tf&B}n;hdTyr{^b=g
zr`RoE=2ypn`K?L>T(9aDP|L4Ufc{PGfU%SP0{%<u5wN2DxB$-s%L3{<Yzt^*Iuh{c
z)75~nx1I*P{~Z%>e0Od@_l-7z*<Z>8o{p{=h{r7hLmu}G>|0_&;EjY8f%jT(53Et*
zSm5>GYk~O}p9aR>`WDzaJS*^3jAc;Z5Z9pnpQ{EfYuGSoSeJmH?n%9ZUY;2p6k2+A
zP+HfOLCczK2(pXX8niKdXOQEt-9dKacLn+H*cLQ8a(z(Lo+Uy13dRQAHg*c?T)%G6
zQfud+Cijv8J1)K!c;WKOz{aH-1wQ{79WW)dTfpy(tF5ow<vnijdcu?DdyhPczkC15
zqlO=!cw78>;-8ZCq<%p5lhY0JpG-Me_+)gw;wPVH=$>Ro=%18craW<YYkXogLxaEL
zEwJ>v73zJqh3#NRESTehm$gb`-)eW1-dGi#+SWw%2la8;*bJ6s12E0C3%Z;7p>oD3
z3`w7cK~BLa(Rdv!R&B%6r6K6h-~{rIUPQ|;w_p(^D0${RyxaePd)PmOB<hi#Y$cAh
zoMgepGSYKk74diRmZxD2CDyHl=*$5U7SKt2_w<nGcl(OR%z;vB$za)bez0i24wS|P
zedUUC52@OzgH(?3m%x%f;?})}T+1pi-a|{ss!wLz`S1s~Ykxwm77y{GaVUbD9>9r!
zO~~E22-CWc#fufa@cd%{%BDBQx23gkq@@Qs|8PgKcNzGnx#D+@3#L_e!JOVM_%f#?
ztme95So<=V@v}TOwyKPJBdQ@Rs1`Ca8z5_<FL0*~{Qh*p7j0iGDm?<D>QBaxVGH0k
zcs15n-i&YScVoqo!#FtMEH-Cc!`7w`;L+|ShF6F}nR^NN?Vf`)A2T8s+RFALE;6UE
zoLEowkOjYLN$CbYQl@T8i8&o8Z$@>JD%E<(^vivu=hOajzy3hUcs4+Mr}Pu|3cVyH
zsk5}n4ix{z&85M|dUCRdr%dWqMjkb?mpdB`n0X=z?q%O&QS<u<YI*^Yo(GU(-UM@S
zFxsu0fYmSh<GQvZ`X;r+imHteGP4%G?WqQz{#7t%WktB=xFdX(J9bp406AL`$4gZ~
zxgnmYG_wY(_pO85+D33&>5FflTH~3q0~VL)g)VkOpf&!7`^7VH%4Qix9$AOTp4+hS
z)IL-?ehl{AFW~958`$yT5wfnnMoQ0U_*_Xs?`OHV(N-f1b8O{7yo+qsm6Of2J!C|`
zTGF&{Be|h8m!PTvV!NS(?9+FZd98ZM`f`1x;*fqaA-1o?uIVk2y}L_TpN_KfavO;`
z)J!}l)D@Sp9@0Oxw2bU*FIkrqgq%u&U;IZjI{ye64KJhl_9IyFd^<Kqtj53GS-84<
z6nWAc53|}s)6O4ZXPe+wY<>K@TpQD~YGTEr8mLjX22NzuK=cJ~g!it41K;c8L#xJc
zUDzBIHnv8$IqfmbuREOo^oMTcNCdh~#-wxeV1ITchOOIxhRSvvciN9L&yFLqdMFZ_
zgkz=d5w_2JjRP0H!gY5dX4J`n=L8e(AGDFvt(+y%p{(r9sw}<U){y6`>&wZ1P32d#
zzl4-&D=TJqk_I=sN$Jp@Qqi-wTq^1%2VHy0t|?umk5dQf<K9Ms(M+t{*ONEdo^q#j
zIjL+}LiSi|#r}Q<1}%+2iIWkiG~y<{zB_}(Y6wOrZbq%?D^b>ZCI;A!#<b)8kg}x<
z`fLwEgX#XTD)dF7t_kM#ZH$)*K1kZy7~KMzV&-38)LQ9>rfM5J9?~8K`@7=e-9E6!
z5Hz|u7G;l4L$$RFVZ65rm0E4Yww^n%uQ&t~S|7)c8W&LSb{N*=J;3Jp7x=dDGXkFc
zg!9#ORQA&&E!0w$<~d08L^la3a+hiAJ>{OhmQ1PNNUH07CB9*6DRr`~?5)sA48)Fc
z-Q{6Ice(kZo1C`kB3@_P%b7cEByU`Esg=|~+~(Dg4Wlbczx<LiY@Us{cG2P5{A5gt
z_yq5TfKB*y7`L86XS)#8sJI1-ZmdGtDRXhM#01oE9fn%1`(pl(ZU|}85m%12#oM`o
zFzgCIUVH#v2L)ll<#rhA+6gZvcEiSty|MD!K(xyqfrka-k(e<96MinjowQXr^JfDb
zXKzQF&HHe$#Zh!!brx2Wui{Gn9pqPkicf~OFf52cgT2X^-!&Kh+e~O!!$v}yI?0uB
zrN!}NMLG7dn#}!LTkdRaB&9$2%Hr9rWO~OS$*I~w(m!>Q^3A%4cbzU0b)=JQS>Imj
z<pju)yq5CkR%0ocQAZqxd&(Y^lM}z4Bto^6=|>9?=ah)pkdG)o6R3SJ4EgKM;NiCe
zn16OVlH=Dw7qt|d|C@!CjVIu?(@6YzHV78A`XSS`H{wV3#IW2RC==Eb+c)>dgBks>
zx9=caX)qkGO=A!&lkjrkEWGzxjE56eq4dM`XcDp&9rU|#_3uG^oq7@}YeKQM*$pgR
z^8kZpMj%P|0p}{m!9OMy2dd^HFx8BkTW!R)x05*4FD)-!DvI*UQ%bC=C9a<vNSmuo
zB`mY0+?miuwqys%&e84VPe=!8xUhpX&S@u=jDeDOu9Xy9HJ3R5MiLfWOOn*8vRW-G
zqwhM&tf^MAeP0nWY*O%eP87a4MIgg)8<)CYgpb{EWP0zztYceIG<Y4Fu33)etLI_q
z%4yiuX9C8(9fQ(uM`CQF5qJ|n95Wt`!1srv5cX~?2Bu8FT6HS&o##MTVKG8>u7rcz
zI;57`jF<yEpgpq>&srS8j-jV<y2K^C>Jtu4y@&8R5`l#$KcGg-ScHv8K@Xc;)U0X5
zr>|D>CcsfzKXsL~uH_}-Srtilt05;U)Rpjijik=oX41EwpZMKuEg=Dcl7A&g%BKX$
z$S;8sKD&*Si13r*pUtE}d_$?6R!dek@|1xY<z;ifl5+ist&A)%qCulftZNpJ#jW1s
z{xsn0&u}z8b^&uQ9m8MKKK$Lh9jUE1qJh;KoZGz&%kvf>MLP#&kIg{E3)4{EdKv~F
zn}$YXW+0-?Y&@+yAC?|V;NiFuvFp|#VZ{b~)Ng^QU?=*{4T0OjBe-sH8oSD0#Jl@p
zNd9*Z(?g#kyf6|S-hIWAy1$WVmySzAi=f(R<)D+Tgf(!I7sE?Q`E~BHa#vNEF{y@B
z&8#DCnnv<|MN_fp+Cr38{xY>?YnkNLMi%~UEsK}7l9q8TWrVY@gw*ztoUU~x=%ANm
z233~23(82%NlwzXv$Y&tXTTcuA67K|0l$&&QR9f<s3o~@>=GPjoI;nWhwymw9t?T3
z4IX(LF|ph_Jgm4H_2O4xi*^};Hw9zbh+s^fycCv4mt$AqN+f%&!LOKgsOho^vtMk*
z7}HJ+xU&y_d519K`Uy18KZnK-uV7k<TbP;r5DD!f;9dJYOgq29W<dhle@w@&y+yEz
z)d;rP$mAg<B%pzt95IxWZ=sc?uUB=s)~lAZbEz+{+xy6*PfevLq`7Qf+)^5h@skt&
zeo|;`AsJ_V1%6Fr(7Oh5XJKu5I;^^kI9W+*&MPAtt+PCsYa`~rM$GS%jcP*^@T^G`
z)@fhiQ|v>WetQExaiO?lc?wP19EQb;eQ0}kCk(M$VfwZSr%r5ukN0}C8MO{yTd%|B
zd+QMVW<7$YY((^)%~;fK8&)saiB5I*;?L*<@Gf^0t$Uur8Ji183A~Eo#+xYge~3TI
zGmQ3si#o+o=v3z?R=oRzwCG$+X{n;p980O4U?+|voMl#YDVgf;F0&U_k=1jn%c8Qi
zWM_wZ(ln)^DBl~)U;AbfGs0JNPkp6LJzu%Dr>S&Od}PM-2J%&{Ef1b~$%(`&vTk{K
z$$IQ6Zz3IJU8JSFeyYcj!5OgJ`U^YPeSy<|uMp7UF-n)b1-Gori2HCBr>`Ez#+Bqj
z%Mh%8w;Q<)c4BUy?dVl|8)7eQ#hDLVv1RKv+>P6geRp=^R>eKIYZU_TSqIT)_)&Pg
zI*IHX=P<O=W!PEW!2HQ~5#H?yYJ|Q(lNIk#_&OTj*8D=VvuVhzo`?KA1vwf^X;;Ng
zx^{4q3#^N`=arKkLn=uVt*1oyuOXva)s}L{>&dop4dv2&A4z%CSk}~QB5~CH(fx_r
zzM<TRuPbf|-cqSfb<syv7L7%Dv5#_<%QGBhZ-JGRDq+N_6*>4kFB#oReMk4j@8R+A
zIjsLaKo^^v*jf4t%9K2h*xZx2d;KUnw>^YIhxg-M*gh;;vKNKvd$7;A2e;1e#jB)!
z=yQ2LzNiOr@6!>qsC5GMOsA38=K@++yMn*dZy=({U5uXd7%#jd(7w-Glu!QxubepS
zACin+RWk9kNf8{jn6YD%l^hsmF9RDo%jP0CF`S@htW-&64e*d%zFwla=q*<d){%BO
z^~CK^1F5&Zq0BhnP*xW<kn7Xy%d}E;Wqppf6qojrwjotz(e?^bSfPw$40Vz0>Graf
zyz+BUaBo>Q4opeLhy3qo)$}7u2E4>(k0(g~c?au)!|*cy656*tkG-Q#qf)yQ2unH&
zck1_~=7-Vs`ytdSdl()59L9@|M{%X$alAfy5@)uZ!8r9iF8;ZMSv{`fd)-^GU3DL6
zT>)kN3zTpC4s|+5A?;ZlHXTdC{155K?pA=OHbxkVEhJ!xt=O3zC3ta3v5PA$%S*XS
zbJxl;PCO*Iq?f$>S5w?u*Oo(tb>xawJ^4DKp6u1t6|YZq#7vE^+Nq}eE3PK*N>r6)
zhbxHjVHugVwWP$=aFm=g)>2emBk$)IVz==hc3UK%;mL2v$a;@d!wYPD{{%y4+(Sle
zIKo}8A=c><w6D+OyZ>379eEmOYM;WOeJAno&`C^datc?6oW>HnvzYCF9-p#8F|_Ix
zG<$O$A2V*^{@Qz3xZ^SUI6Q|}-fMWb`-m&LXrz_+iIa;`kk>d9rbdMb9dE?t-xl(t
zysf<H?I>fGx=7jWrNq3ToM^o(iu<-I@@T)OjBVy6We3!hCV#xe^Jguo*s!)Fe6A%!
zUwDh+P*Y6js!Q*)9@4T*WqD%nE-?p6%am9b>F~!v++(a|<8zJNTU(5@*O|D#I2i-4
z#UXPA^IeIAXWa-?E&Bv*AK%04YPWDDFbo|^T}AZXODORq6hpRLKw$oPY|c54Da$Tk
z=iX2>_PGT6URTiJ-!&{U-@vLZw=rqUeFUhFp^trrR$i~sB<ei|r$(XmfH?H6kcjj3
z|Kj4h9ORVMq2P-d^P?^0%}ZO^6YeP9+g;>T*HU5|S61dWsvr~nD~oqVRq<<5O>(tf
z;@GW*46>{#gR9k)=u<Uhz#1<Z`=Xj$o#P?tyDQ7WW)<Ys)UtBBi<_KIc9KJV?PY$b
zm3XUW%zjw}_ivdv);R^En#SY!m9N0l_qe(271k#|MUnmy+=)G}!EKm2hvS-U7`~3b
zhTIWXvH0H=Sle91oJ&`c|MeOwtm11I!ZE(fZFC-W4>kTgL|8nqF(3kt_HWSK_XFlX
zjlz@*v4}|c4Tp(;FtlM70vPMy5h|udX~lY#wREd%FR8Ce$c&yPW$m?6^eJV<@`Jk^
znO#Xf-K`?+_It=FO*Lu#ubOP`R$VSssV?tESCd0-o)XZassw+pBonk1#N}~W$*)>U
z`m}VBxs}QBUpAuKV<FS_t2oxM0Cvt9$m^C2KhqD4Y!;3C#t%pv^#;CUB2dpt;MnC6
zdN;U_nqhbF?%ge9uegb{r{U1=3dfwZa74;YguCBH*^E0V-|Rl@b04CAC16VUGn~Hh
z5>?8+#fk49F<JK&j??4N#wP(`t^eT1rc8WtEI{eI20Va9mhj8IhS<u)A_qwfbQZ6v
zt}=LXX{p<=oH$%}m&Ly-%G|KZ5?!IH#JPIN#_b+beT#?ewDORnhAL8TR%K~1wW8cA
zC@)>hmzAU>H)$}@MKt8jofum={MS-0WS9|KNrxP2`k@AY5!pHs7azyr^5d`g*y$tm
zqa!iM`6WK}d4`2`fs})faQe^#EUa@M7dqU7Z`xgGotghPczwPP*C`LNY2ITT%mTJY
zJ;T*%FH!mH8$A2-9`y%)!PJT|_~#Rk9(xkeu|*nYmd`@<It3Uq)`0dyHPU61r3|}m
zBX45t#p6#2@%`o^{g1iHaGx?_zpk7#-tI2d+g7A^sU*sp%2Ljvig=Z%A{~!cmg)~G
ziSyWs;&jkmXu8BZrnK}Za+Mz+oaM+|N6Fwkq0JyGIdV%QbDJ8_#w#CR`edN<rxeTx
z|AlYXvCw{r!tQF+9epIa4ts@Nog>ghp5pN{;7^Yycs2YnN@YGm8|4v>u6c|ltDm51
z0q{NQDGEIza3|^|I%mAW`TyQyyYFWV8Xb*aaj}?i`WI$gPsV=bFP1OO#);a6@Yfko
zX@*9e##zeBfi}{&wY@xWDIpV{vxfC?l?qo%iSBI~@jYKoMmBbr7vn2PLd%M>|3XFC
zb)}*#>sV0&=9168^tgM<$++ER<fMNoNjg|kg6=uV*K-ciah9zNt!^b--f5(7u>n=*
z79gs67OGZC!>_4{sO}Mupms5^kN*P8{13Rh@hyzUUn8L9OGNgIfK%2pL|Q*XuLDo9
z`_xnP_k4!NuFnxZBLZE0Ut++x*C<OLelGbvQW|{5_zz#vN4}%KIUXz5B%(p5KS*es
zfd(^jar{XUj@MIhD@r44_gc!Co;ET?v6FMV$wx<LxjdqzOkd$9=@U!KFz2$eXi7PG
zHLtv+)+F{|chSvsmpHAvMEI0v+{=mo!ZNaBe<^9oy!fOzOS}Fhq|Hiu$=hNh7uHzH
zq`4Xy@Xi3Aj|J=>vhi*HU;4CUxDEV;3g2V#=T$V!b-tjo<ws2K_YUtXMZ#g!Yq+|<
zLai<@;hOmZjVxZ`__~*9KkpUd-n@okT_jvjy~Egw%#F;?I9Mhc*S39!f1h~Vr60CG
zlY)^o|Dj@R79wuvBlCt1)t?)&V5U|^DVAch!ba-l+euy4Er;z+a^j4O+~49Vofx+r
zmrBdbuVrM<jj|Hnx}1EPQ;svda<cz(S!r!7BbJ{_%fJDpr295kS-Q$ap87e7{;7jp
z_Og@bQ>>-M2@6?y+>F|`2F%!8fSrEC%zK$TJOv9=e<S7H54>^zj;V~%+`P}Ix$Ywl
zY<!QO>RYr<h(zC}k!W7<2FI#IBJFx4np}8`3EKDYx%UAsZ$BZ(HwsVlqv5ZKMZv&$
zJk9%!qIb#YkeG%$wKB2qU@ivLE5iP72H5X1<6%t;nXuAI96s1cl%u_zZ0INzn>fjL
zXBS!hprq)1++^F-Qqpj2X*pf8jNF=2MkcN+BkrBbNa&r?vMQ#O9J%Z!OIo;!&1x5!
zveQZ8raH=y%Jwqzs*U`qWhI+KwDL@Af+<0V<3IC}Z<CE}lm4NBODbTMh|zt1VzCm7
zB-<D`FZqhP{l8$y{!jQwZ(%v)173f9k9l|BBg^z2ug-lyrz_-w%V#LBzhKt)udwoq
z!HGYy_!u9Ld*u>fw=)?@foX`To`DZOIZ(zH;N4XnavhEEx~q}-X%<q+)mrlF+RBc`
z_R_zKqijnnA=@@P%Lk*2RBJ`92DnL-CF|FkQeyY0lqi==iA}#!a_5?x7@xa}XGlr8
z@9iSnRyfJTGmese)Lw?nvz0-OtmS&Fg?KF0h`*nTp<9X(Y{-NAzAV(5_z$+hsaW`(
z`n~BF2JQNRn1b)<bmtq+#eRk5=qMcQ^aVLPiOugb8npk6-4{P2dg>SSUl)Zc1z%yf
z`3+;Af5*xyKTwmiwx=f(Fi4Uyy?h$1Po`sQ|7?7$n-4>kVyvp6prJ2)_i3#powJm+
z$F1e;23zSi#9sb$c9hr?CFG%lvkdI$B12fOEvvXnP?)R4Sh>l%vTjl?#Z@-Uaux0U
zl9Kw&MV{?)me$-C$lvNH!(Q0S&Ny4~in5lBJC^ccyH;w63G*f!aK@_$FU+~PWRrzg
z?f#)2QmHdZD7p7H;)|Gr^k~DVKO5@DphjUdMwO4o!;r6NKJzPjpZE%oTG1F|^$iOe
z$6(I2?<l({4xcvi_u_wH-JC>hY@32pozvjAA{|YBXCY}^9!l60A^L$HAD0=i=%hwI
zthA7ytRrJQZ6y7htrX3-7q!qqw)ZU|v)4Px<E_r38AIG=7dbYrBzuXHvNX7)1k^1l
zV~)8<NVKyYi*^#<QzgW<jiao)W-o75TUl7oM&@;}lDM80@}!qW${kbj_?!+uBMOkj
z`HuU%OdKlv4?#t#xZ$3Rk?Rw1Fz^>byTv0RG!74k$0B<iu|JK0eqIb(1jpdnml%XC
z{f-B7V-a*a4n2b6vB&inW>!x?!ki?mS5mO&ZW<!bq+{v*EX>W%g}!qkK85Shlv*7V
zYUUhME9W~~N)7gZt9RJQ-7<Fac$K{zdr!>8j$*GXA(@d*5;D`7GdE{>QNcxKR&kMT
z|D5H}a%b84!%2c{oJ35H^7pla44h^!ozrb)Rd*Yy9AYK2-&;tcqLD3KOjvTv0Dp^O
zTwRfm7alp7pOu0AIe$@5{|^E#C&P1AB04Smjd{^O5wa{EF>`<5-n}?f?iGiTP2w<g
zd>qy!#Uc6957d1ak5FPA8u}YQS0o~MS2EmVQ_*U`Uzm*PaQcvi(@%4;=5qmb#l?uK
zt6(nY?1>*V5<1aB>J(W@!UF1Q3g@e>>}1{|>dsyV8BLDPA6`N_X`Q5aA+bGnl3kyj
zq|8kxc|F!imi{UsQFTj5$F9`)HV)!I?R$NTxzWx>^6py6=t`C{c&=7_H<)p#2J7Kl
z9iFc*M8^?%_&GQm9am+bZTw#xpYsRJJEp)mED6?k60mQ`Z?x#}3vZYF#2!OD+CPs+
znQ!rU<MR^_KmSDXonMIi`5V96Cn6>_2|XnRvp@cUYsr5&9Gro&&e`xJ-ppME2wYf<
z`BM#8KGBFGAB`-#td$;BIX_r$#o3>=#8tJG8eQ$gZm_-F>fj(}T^uFshNIN1S3+VI
z)0Z78A%nM;5Xasn<XeiPSoCs~t=k-=<{5jb5n?CPC)&#JN;Y!so|Q~#Zz*>~D{p-@
za<-2Vhguq7+pri3eg&93J{J{kXJLPn3|vb3i}sO!up}!52YV-@PC+6xaS7;TlYpHI
zej|Z%zQ;9wqxpZok(Kxxo~ILV^<*N-{z$^AUMYB}V{D_+;QsR;oZT|9aB4PsrR1XF
zk^*%1D#r47J=z>saeb^A150WpWs-&XQ(smVGv_!%U){!5Ubbd!_OO>(iS}}Fm4ozG
z81EjA(rJOCl$-A;%epwqyL<<+nC~D@-rGw@OLBtwu-}gRcfYM=)k!N!?qw;1a<sB*
zgGM$rHNkzTf*Tukxc90MCeM6?9?n6XR$1_|&p@c{KRobH!{-aBIMXKu{`4p25lMLV
zED`S~C*ohPL`<Ha2p{VDlf_ABJb-hT$tjo>o{H;@((sf#vAUCv;JcZKiqFRAYI!KT
zssQ^6ir}?SkGmEsl$|DoZsUI1JFQH$vJ_JTE4kFgT8ewy$l4%Vsa)PpB0kwk<Wzh4
zmSivb<__{;f`fR^bdYbo9i+(7K{}nZ7f&~PnL64|_HDP7jmK@|aEP@mU1%j$J6cMp
zjfD(-q><boCM;~FQYZC@C{>KRhYC=!bsj2dbI>Lu6GJRBu(#_!Oo~Xuxdnf)d~_<-
zuT8=8q-5M(o{aItH+W()!o!o%pk)fYic+vEEfwXRS%b#?MXx{quzzm`YER07aYPPo
z&(6b{V+DBms|fEK>QQx*g7_38imPg5eP^vqoNOV(S6E7&4OVhunYElBWg|W7*h+M)
ztvsD!C#gwxGPi}jSP}dACH9gw!Cs;p+KX+po$MWICl#L9%5`g7`PIlqcDJ(@#~>?t
zSI<(mJ6K4ypBnix(2V67Dn72I=keCTKDH3e&*Wp?mRvaR%f|hPOziN?fX(H9Fi!l7
z2ZPd}Tlxn{+_&(amI|G3D$2D?Ma=9})cc)^)2shrHs3R6_+Ql9@ef}z($RTNCMs0Q
z#-`L9&Jyzw{+4+|y!SPF%%x^|4>h6*wPZpxF(+!pm~0_Yv6fO<ti)oUwS4GjBPN55
zbl7MsC-k=Dvz;_vZ722i+sT(LcH+U9t}AUP>7m5xX)7m}*+~8qYw=CDlI|8(GQiGK
zPHQYAG)p5<m(2J&*NC823f?*D5ua9s`QHmrBPkE6LoU`1$i}@FnXn(5fqr$;k>U9d
zC%gW|BhD#Zo2H?-@DGNk|G~3TY3M#94R`fvn0@mvHXQlK+MSMB=^1#}JqyP^W@F;q
zT#WU}$4Z+*?za|UZ?X<Gk_{-IrlNVe31#MK<jFLx{1|Q_VL_I%tvvhXpH||u+gg$v
z+DL2mk^a?frN?|*X?n?4T%Hp<<5}{kt;`=`E4{R~@_Lhv%+^^;(_Yrnf2Wm<cx)-|
zKP+TbhE~GzG;$@$jP9{U?Ej$P;cGoEy)TAEav_Y)1(?!54=3;DAUGf!eaUU3WFYEk
zI&S3rLs9pC*c$T}*?az?(TcxN4*ta<>YF;0I8FcH`Ys*%XBluy$V9kjHqutJ)@k$b
z{a`+Nvi^RwD@NsSIy}B=;Cxes&qNbE$?3z~r(Ky$t-fa=8&_G%J3lM=l4vE17FtVW
zk+ryy-!b&Y`N=l2MPn<T#JD%rMyiL|$c!;IGKW|<@xA~3wh~iQD>=N-Qtn=~5YtDk
z_+@IOr-ep3)ij}f2Nmrm8t`<N4yM;d_*uFTnG5pKy&xA?cIKd0uWTrdvtZpO6W!-z
zp!KJ8d>fXI>u%|c@jooKPRIGcbR0aFj*`9^Sf0swd1NLQyv@RY+1V)RlZ$2B^DxD#
z00VavVnf|x*ng!)ZZM!@fC~R&BW%evt4kV*T&$Ii0TxoAw~#n`O|SM=^8Ewr6!&7b
zU9y(L#1z=TMy_`wMrvB`RyMN6h4|lCOVA8!`K(yU-Fa4Wi#ZY5&{7&Nu#jHYwQ}w^
z`E0Kd%?J}to>KARuK}x@>v3aeF*5Xpn7^<9&7Jab?{O|F?#O}bs%)f&WMSdwOtfsq
z3mNd3mjPeS5GD*_&0e1Y>-Y>D7@CO?V<vh&XAgLp8gMfQ7ry7>P5FGDmngu<?}ez?
zzZju$Iy9bU;MoZk<qjB8v91|yhH0d@f|flWXI}J~ex8=n`KG0eZq6EY!AgQ`t)+J#
zYq45yEr&RpJ#d-%ebib;F0z)eR@SnHIUBpqO0-T^vT?PgG-p3zA7~*pwrb_$dyPzT
z(8$HrCfHH4ZVyoK-*Y{7w$fqU(;~DRT8JgK1z1Oo8GS7mq1SS7gn3x9bT*a+XF+G1
zg%<beL3d}ub5|yUZ)L*ToQcS3S=esO!i#I!IJ+tb6=vt+b8sG7AJ50`81_f>?Dtm|
zqaaO(j3EYOGneXjGUCYt6TX+$$i^2MDVU{|Ms5}|@`8oj@v)Shmo4SLa?IyhR`TGE
zl~g0Heh$|1t+cfS^RX}geVfmB;_H9QSc&jFK*Rcs?@87ndkcviua!FY{wH5Fa{Q19
zikA^Lt|}<q%7E^lbQn0N7}?c|uq(9ylR#dF=RqVF*_k;w*D?n~&t;=VvuwOh%|iHt
zEEvMGINQj=G^cE|nof<&%*N_%ImqQ6d^N8;<dw~bl_zKN0fiVps|fkmiqT2Yp<FKm
z3ePJTYQdTHQ0CPYGg=30WRN?1nrm9o`B{k91J;rTma=8HrBwN2DKF}<Rt>ijb1=Q}
zMh+ZTSxM1ED;eo;B`dif@5Qz0*3D8H#92to5f)<cMJpZJPzO(FWV+sr^XE;N)th_4
z#R_{k1FH1Z<3I@=u0$2##FawKU`>uZnvcr&^ROg07iT);!ht&WvP%xmDA{m-Pv0c;
zieI_MXP<+^!*j6XeGX&<&*j+V;T-vK{$f7X^ISmU=|XrvD8jzq#c1!UN6oGVxNcN{
zmnwc)o8S^)hOW6r_Px=_{Q+9}^i3;+ds#^GeG94WPA@Wvac1n+e7BTGI!ifaV<jqU
z&bv%Y>HE@BG&?P29ea<6TnmZbY9VR`3psOCE5pn3v({^5bAlNzmrY2R#rQT+QJXWh
zucC+7-v5p9!cj#SGO`exXBVLF;e5`W^LQR754UgRBCb;|4j6JUBQghj?&qNJWe)uF
zbMV?f7jhyOmY#WN_JF*Yo{w1H0<540F10GcY^!2?cGV%fwjKpt3@DhP;NLzK^1z4@
z@g^KEHsjtJjr_4<Z@f$^T{5*2*~dbfQD^5DTF8;cmXbQ!Qts22T-|O--)t$pm(rsQ
zqZh4XDe3<#q{&fgR9g!f6Q`AHleKb+wfEsvjns}X<8&x_w9$we<5VmSQgEl50o_=O
z15Cx3W-7u0=OVo1?0oaY0-V2@kEibWXnr6M6@8eK^uu1aa^ZS17Z#z6=i6KycFcp0
zeeSDodH6IoA1A5FyB-wa&ALLgA5(;P-HPGZPKQ<P_1M$HfUUz6oSI5sxx|RO>rE);
z{##BvdZ7mz>0VDOu6wnTovY<OvxS`8Vj+hj7&peRMM+Ef#~vfrgK;gznL&|-JdCuE
z`kcLQ>R}<56|EdNrj@zPwX*u9MymCuHk>u%<4K-zp*}ul9o)TwUV4E6&hzw`zeI-}
zTZ{4aauK%27b3!=5ZxCQ;ATobdQHhkJ==V^KVpsEng{0vd6>F54{Jj5ko-0ei52q^
zvO1q<;PSC-H_x}UC`8ZPLKNRC!YAtg^|?B98m&kD{sts;SMZ^eiUDnnh-_)XM(Xqe
z>S)+vjrb;NB)To{`H)uZ(zFs<hgilCFL5sorDtND?(xt<hJ{&3{s9XaHP=E)1re)-
zg=F8=%F}ULX<)0BL7XcrZmN-pHD)C3W6yBPh}M@>RKLk{YEP(HAN5F}etvM&VZ47a
zUMwy`BKwKibqbMxya1OuLq8kI-eOHYI`+%QTfcnt;dQl7KGv?xN2?e4u&Y*pKg4>z
zTp?1g7NYE+BCK#`-hL^@xYIgdsUB5E7*M~hf-SXGyeY}KWuXxjzM9aPy7jTOM*bbs
zNUTmH2fAvd@gA+b|D=_x))wN^z(T%vwUBPZETr!!&PN7Xh#mRs>}er`3bZogp;oj@
zwDP+?H7`a(zH7wRou4z>jQiw}<#{7YJXbOOH}_ag2F&&}K+{c+@MSvcZ!t8s#h6Ym
z9)4R0U6(>Uh%G?!iURogvA1(5z|5R{NJc(tGoFLI*$<4P7T+$w=t_myvbPZC%0=jX
zrwD&X7Nc}29g0~4jvmxQM~{>2r=USe6$esO#NQ>SH<*y#%ZyXD8u>IvBP+RI@KCFj
zGaa-teWg|=g=xi19ea?km5x>xGL`kl-O@tFlJiTsSB1;u0kM9eChPPX$-K-OG*~0m
zxvv)1%8a`6O-Lo)w%=5ovR3h5GX-BK8Q^<LkI*D~f`&R=Utf&x=|yNUx(KyX3K11t
z2%j2-ut+Sx*Bb?}I8cCV?Bm}t_7$HNpr)<>U4sg7_ede;*cYMC`Xbo56~pUNF-rE<
z!QHIGtlN4tnrFZ$Uj>B*1;3xDuw7$BzqTe^S4=3+7<aA1yj!G^rcX3-&7_g<&9vN~
z(8`mIT3N+epZ2C!9Pevo>n--T=d{v!8`pyRRK2xU0?1?CD~*(-_6=vRzx|~d`^%e=
zIL3sXXN`Ez^?mE5;?6h)Vdo8apRI>|fFAAk>)>xF#`ej@xRzRkKXZ8hE=7oYSctYu
z3*pwY5N8{+&XDW7n-(IhPa!;36{6SELaZsx+1!F6v|=B!W@0f0<&)2w=_BjtQR0gp
z%T^iS*HppSzY0pQ_wU@#2yZJBaLt6q{mr<NZH9j!d*js_dCmTHZLUUKDr@C$fL1OH
z`Cn|0=uO^E=e%Z&Ry@0D<#S!WW~mjAFWeVDq><6|Z2QY-WXE1JE*6+Dx(EH_2_vTF
zsCd$bdy3l>Xnz^-nR`xYJN2+E)FEOlV;olu&oRa5&0f80ND=Zn6~WBd8GaNZND867
zQ;61&3lSMzhyj`+4EHO7@7f}ii7$dx`(mWuDaM}WI-D0BZui&2m+QG@2WKn9n;olQ
z`DzvEwTzhl)`)<qCY-Z0qi~NIU7R#x>Z*~6#GG_PBPnqj$x}J=Dx(#t!E>O@(W%6k
z>A~9L#7C})%Kf9Rr!+ERCUc@0-^+c&-v61=^pgpWElfCc(1@GGDjM}yk#b$Z85aeO
z=NQl-mNDp}$0*+80M?N6A33w0QjAZo#aP8X=2lyau#p^>_C=`BvIs|77old~BFtb+
ztuB%W8AUkQsu;$D#aLmfgT*2px)teQw~X^x2LozwUKq^$@uR1FGFioVOC#1FGGax2
z6K>x(;Y6Sr^2m&#<uy{iyGGVgvn&0NPa?l7e$z-osz!FQwz~3~ltRu&X{5qK`q9J8
z*?Ah-+fgH<+%(cU%nVIaGge%s7FILCu#;=5s(3YCMF)QOIBLkt3kFzLGT`t&Jq%^_
zm~&Fcy=@&vMi(PyHRo-_5pP+Hz2A#a_^1fY!iw-;coD`wFM=tl2yeJ1K|PA`U|%t2
z{42)nt~xxqspGjAJ<guyET@J6rLVBow@{EAp<pD}x=A86Yq}A!)ah%BOvobtT1+;h
zU6dI!DriL4UL)-$Yb2FkY0FWK<WP&!ZZbcqY2B}qzsJe<&D<NDu95668tLPqkqmmO
zxJ72p*v+`H)r27>OsKfQh~*{~F7s3jXD;Q8Qqc3e0ht30Xv!GRAIG!(jLY5KI{a#(
zLr30!*!g0}>|zvkF2=?B)LjpHVqQKCigC0{F`CkYFXwv_)7T3&)4{xzXB;x=GY09g
z@s%Di0jxz24QS3;!@<W2a)VTSV~t4aV8r!jMkKT{q1ttNgGy#ZuP{UX&KgykdQ0so
z=&O-ElQgn*p+>@2kl!oW*9L3k*$nCu^EEL@BhJ+{lB{D~Pn$8f9XS$bLI(3>UXc-9
zml_d8yvtUoxM^09v{Iq(V{O`EfK7P=_FZJI(GTfTS(AzRZ)Y7e4mw<AtY^^sAKY7v
ziPZ4Swajt)iEqUDG_n{A71l9w!WgW>gh(CURoA2KT0I`6(>t>_>K|!9NqV{p_Y~A=
ztfJteih9+I*c4*KOB)j|&o;p++JyIw%}85s##H{z!&5trw5m?6rq3Qhz8>$Xkqz`t
zZsdDU;vCV4``xUym)INJzQy^?L^E<rn&EVVKC-(B&wd*bLI1qdsABF$6_4C_9aZqC
zjso+21MaYgvHz!s-4;E<n&|P5bC~7Fb*MZ}hha^K*-3}#)ZLHC#mGr0#!JTD$4q^y
zqC*JJQQun58vcm9u;#pKpdP!f>e1QBfRNb+OpP_*LPrHPZz;IV+TgucMMn!GlE~@L
zUyaD4w$u+XVOfR=nSN#*Uunj>hx~hqEHi8z$z9?a;;E5$#6N-DZCFkt9k?Es{;-$6
zX~wSwW^`=CE5U>}n@#vaU6>n5A2-ejYehxB9V-4+Q(?MI{h-eqlwv><YsS3l#2l%|
zj>UTX;9M~*ONX1cb(qaL?oi@>#@tNy*Wo+$_hcKc1#4{SX*&3j3)WAmPwf2;wxZUr
z*JEk49^Um0D7VRgKAbVU=l3kXp`fd~it;O26ImB~c43S|jhM}z$$Gd6{VsEkT4=&)
z?y*&!$+~>ZjAPH}AAXwAoHfg`&<wjAGY0)O!}A6I?&YKz8|RwgL4V<;n$Z8I3G2pF
z|4N#0?6wgb2D1)OpC@sB_cT)B_)bCE6a}pv6}Vk9VEiBhs#_aS=N|b;Z|%W3$QTPf
zHb)Z+HK_h!Vq<>#Y|x=0A4~J!SGY%XjWe4&oI`eLsz=mJ`n4N+)KjSk-3+*O+yHC#
zV{`i{unJ?J;-X^H407zPiaD%H8&(-{KiY`O-X?q?uT8g1_?u@!inkfV`!kmpni0=^
zWdBoUJicJY0QLgT2h1q7iglL0(YHD4k2PP9G@)pd3EuQEr+GfPJH2zM?&MA$W6Lu=
zTF#^W=_?PfQ&6S8f(P869=6_qAKZs<%BSbzJr8A^Z+2o0t)fRKqYl0)^d!VS@1qW>
zUvyaUo0yAq_^-4cZvN!MWajK~J&ym-<7!o&F`$1NeanDJHVP&WRj`aT@UAWU(NXM!
zZ}C1Hj2Jb-h{2bQ&{1DzQoEF3;$@r;q>|sv$7;;!THP4yVP=fr9z`!=tUZAJZIBs(
zUS_zNiIeqq?oktJj5Xnb2mk%uh_l;`I1^yRw@ejv52@JEK}CL!f{x7LIo%WtQw@l{
zZos3-20ZsR;5fA=>y{q=8}u-b;#t-})@Syz%PZ(nj`*6gcD?Z6x-i#I_T+1`^;mIO
zk4<m&$hRa<f()3ohL3Ly{F^7%`Y{SV6R$VtSTFmi_;Qjyp5EtSD<jg^8PSmW_QKHw
zwWA4jmYVSJq6rN?o8ZP+yEw4laW`X}C+FxM<aRkTt}>?X%=Z^>{-+NzVaps7E^@uf
zXiW%)5eI{fXwk%oTATy7J*;AE57vEZv^R5V)dU3{Dl2Hk7}wm#*&2Dhlkw@AsmBD)
z1qL3`W6^Rw%1+W_+z>rhb2bv(PmlJ)^>{o@kK5GZWY*fO*LqAW(&KY215S_TS)ro_
zDDei=s;0nxvVvIh`HRBu?5M(ir-~~vD!NoP!u>xZ#++uZ{W4--SrY;~b3bve3EG1u
z_}($0-g^_yaz?Nq#e{9VGWhdlK4;`>H4d4ul)b^Mt|qK<Hz6R2b?AZ-JtiAr=GlG^
z*7}9S`>vmgOh@((&lPH`f<N>g1$qOvvsMmcTnc;AXA<)@-v6yHdi1-a#|Q4mjM$?`
z<*j;D;?<8opXYPwxApk-S&znrT#L#Ej9}ijTW-Kva`|5l&yh4#uy&S$Md1o|bDmU|
zxzv%GHU623dsaqlYiC5`6-HRxA?|-hpgi>^h&}Q+6DqG_eD|B+an6L=^i5^yxl=Eg
zaP2VtB73ZqX(s&Y#$L;d{MQ*#?j`Z=G9rAC5&8<$=s4yM`J6SFHMlIjY?OlTdlhWv
z+_IlLfBwx`(<K8MEul{!=3sJrg$>t%{7#S7;}tzb2gZCB`1pc(N}Ov`^w?(7V->O5
zwq<Rb$}?Dps8w${$FWe*j$XrRk%C>UM?nP&CUB<IXAbMcb<TG<Gc8~ox{PEGvD?Ub
zzY!fXsoSMY7}nH;vAw9<#9c_fdN8+zT>rYzgz3b2WvB^nsZXvo_#An>l6kv{S}>1X
z{?L*8H!em5epPYgpo+ZV#9UQH>m&smIXj#`UBNke+;9!&rXLJAbdvRHkpbSEO_XY8
zz{ZLOys$OEq}QWY9&zXBF^Tc4tYN;FG@vfmrDQwi>o|Is%?9+mX~5b<a+$e%y))O7
zGnFcLIpfGxV5&<#Pf*dDy;4*5rxl!xm=<Wn5&DDbN9nC2jOhQ@h&pyA?pv5}p&4sx
zJ9?7tCbaEo!c21aWS|MUM%3bpCM0Q0uub5s>Y)*9_89SKf)OWtjks-T#IE-$BB{@s
z(d4wZiqF{!F7ZC{Rx^KlDJWNkxke7|j9`pdOUf)W;L9lHV<!WIz0?Te3L(#f8B1qR
z0|M$8klVt5;_iI!1Ou$NCpY69pJQyR6&tX{OTm@?3M@AKkFVh@m>PMdh6>+dDk?IE
zUz5{eh3pY)7~#;@h$W0o&6CvEr`)q<KHub?#0>}bcjWjXYH!!-CQRd_BmW)5=Ueji
zdVJqlzP}-VuZX{2js0d_ZzFc-RD9)3bQ9-<eq&WEZlL13fpf!`>|H|0XX@5H`ue|4
z3I?VcFzu-Un@<tL1_RGL7*Khn0bYIR4>@mq($Rp4d<^8j8}WG;z8<>XfQRIT0@gI{
zk?rJJ^>R&lMrX8w5!)4b(mxkx@v}WR_oqg0U#()$4Ha8{tGHCch*peA<ZvU;H<O3Q
z8L#`i?@vbfQG+JuP|KK~p$cQCH)2(u5#v&+ar9>&pRlh#%baC@@NK*iN6D4h<&Aj7
zT2x7>Q@eSF<v$f=o2m%5V%`6$U<Ent8O)l|TY+tD1$F7GPmzx=o*R&Qk>^0E+wP3r
z&V>fNoN2%Z?vY%cVZea-286F<{C860&hT$q9~ltI9^@Xi?`I_i-#EAOpQ_-%J_Soe
z!Fb~RSy9D=E-F?mAkI@NX1!A}xJX5ACFULPb>|o(zArao$N?i>Uoj&4F)^@SUH@W4
z>2F3nB}RN;9LamT+r&?A;kAXoGt&qco@MZ8$hBf^AD5(J_I>&)^626?&dyq>NG+ja
zNdj|<-tzA@a+@&@qqiSbm7a^aT!nFZ7s+|d9Ruvn8<0mG^50`X{tlkg+(ld=23$Qs
zY}^C%5Z0h?2I!a%HqO-H2Hbz;`n{R2;Or3v`K$%)h_`xq6;;}*z*H6c==JJ7<la&u
z<6uo~B@aJ$Fv5qJD=s#o*EYtLIW6>^;bBG$yv4umxXE0<#vDIq#2>E7a>ljC9Omi}
zBlfm7;(Qh2XP+?jJNvM36}qkTu<U_vvM#hKt)f<jf<)fS_hSkcEKyKtF#8ztx~PJJ
z_r$ED{|$?#&wNRKKQJIGoSx}AwTst9)|}yw4KUDGjEFN}V77rhr~-FS^0tivmyrt6
zsa0D~E7<;ux<$O@%5bgynZskLn;TT@z0CR22Ni}K>PkuKYd!8GQeWqg+lv^pWX5{?
zW@4p&*9tL0*=NKT)|^M1xHij-@SR~q`C&$cwdZ`Ut`TKij0omuz2j$2zCwN2#26Fr
zuK=!Z1r_@X6?FT=`?yM<wN=5qX$tQ5r2lI|ZdW81trbkkCx031HRP(}XY%;H0h4*P
z<Ii9DoE>|P`+Uz6zBifcl-XFpz8<VW^yfP^DQJ07LDRPiJgARH-KbB#%&8%)6-!mD
z<{2^9Cn~bz>Aegpx|T7betjbvwIz=J)U2^a{G4vY!uiy3#yp%?&jqYuT#I|`fu0OB
zVl6q*%Et&#*4%{}BQ_?hIQxRL=kqE?tmk<d@;R8CszU8B7!}O?LI3lB_ekCqE$1BI
zKlTz`sMW-rRYk#DYS>3JHLH-hn@K%p%#ZMTl)>6VoPI_F{-ZvfCe}CgnfvXCc^GT$
z0`6Ds=6wG;`|S@3jKq7cq>8mZDq8iWcFa-neiu1+O~ui-^q7BmPrTo0WjUj+L%;7w
zpV`@nS=8L9p+@{3$r?L~dCu5BBF^zW7=PycC}Op$%6w+thUU>TlgrVMi0y=mzpMHA
z)T<TkIcxBuR#>YTma4#)d~0=yJ@F0&*1XRl<f4JK)5DkfT|>d+@(NZva}H$7dTq(~
z(Mz;qJkyBtYAHU)oOf@aU{-*FF8vftrH9<VO2MYX%n9nl{x9SZ>u(MANHgjaUpEya
zInNr!_3w2`MFR8qE&aip48EpieJV|S)s4t+L=Eycq8sD=A9+5alMyW$PjdkGOPVup
z$^Qe)S(6jjhy1vlLLRg3PQRtXe296xf{)A{$BrrzYq3VrS2p9i_v8Hp-(}4>roicc
z>g6m2b|W}*Vn5NS730#7^JC&JX1rC#v6y}=jeLLYK}@w2lx(6PFp#ypmjeA5>OI%2
zG4msnx$E*sLEmo*rsuH+J9FJ@tN7GGMfWi(s*=+t*2vRWS&t)l?tvcgc$SKvX3kQb
z>8~pq@y3hXWo||_G{TLsoW;ii#{UY}<AyuegIFtZcJrBQHJ`C<^_+f{x$DEvO%0~!
z;P=$&#GbpJiZ!k(O4HYNjpzMPx3~#~4I$(nV>4tXHH&fHNS(dho_o0d3PM>^LmP45
zocO=<(Yl#}7(U;o1GTOXb72&9p1)^J4^xYu6GzS@Jmnh1a=r2u^mbBV;jQ9Ypo)@1
zIlCjLKW}FLz@DkW9r}<+-Y;``R3^Enuy?gJ!k;>pNsikPdob%(S3WK-#~#;}e#6d)
zU#f~8*_<=~qUJHS=k8Mr&T`#$kV}iW2BXPo;%(JX#RmH5Dkk<w<aC=4<Ra%xr_Qi%
z+QpgEO6m*a+?e@n8l><{CF4wvhZ1{3=BOVZBRcV-HhB+Z{T{90{B-{AQU%SnDcF0Q
zS{JThC3EHAPxcJd#`qHaPUcb5R_s^Ux9prk?OI8_Vl2`^nbYL;(08nzKj=yR@+zR$
zW_^jUWPFKzfjw&uF-~LsdQT4gE@t1swON?Jdh<m^3wpLaVJcQp2U~I-i{`QS9jRhw
zXVzirMp6ZSz7=Dg#hAt@IPsi07)H#z*9kkwSz_)vkDASV>`b0I4P%}X`}_e4yoj;d
z5c&vm;Kz9O(u}J^u!1!kIjh=Fd>0fPy3fyer=VUUy*YVwop_g2<M*-tXZ0YTsU_zY
zQkS<dw~mr)*QhIxS*zZv2qZU;(KqC#tEfgDszzV(hxn%Py2W*fWK18j$34!tZjVwC
z`jS5C9%IaP+q++d^*XNYY!!V+@IAyE%3kGS6>`d+b4#whB#?9O|2N;3lh;F!Qk#ic
zw}$au%*WXZ6#AtylgLYYlk2>ExDIa^(-~Y7`(=zRbN}uh?gyS^zk8kfCd}<G^c*SF
zdL7q+cq2SiBsWzN%X^qLoYzbhXI80*+s(ZIYF7y36G6<q-Vi@=7?{)Pj9*L&YxN%$
z>v*-}&-&l=5wXPdnZERuiXY_0QLb0P3F^}>&YsDe#xq!(hH>5aU45I8*Pi@rXYxs5
z-u<PQWQ>o$WWA(zm0{hSNX$K0Q&JeSPOF&PjNi?L3Zmyzn|N6-qOOs@*?jH%CguRK
z)<4Gc3;f+{{EW~1Eb}+MhoAk(K>Z@#@l_c!a%*IJo^u?i!fBF<4CdLNjm%}nWes!h
zD>0wr{eO>8(VzUbCRcw%tN0MZb>d~>&u#hK4Zb##wRZR;o<F*w;=wuQ{y}ntT<$@w
z%3{8x4WUjG?*(6eK69yJDHY*b)`J}8+;0WVKQYeKnA^9QZ=v)c<n{q-&uGT_Coy@f
zr)ICE=j8Q#9d(({1#c(+_bJHW`V^e!{uuMN4CqtI<=a1~{~7#jmEOjQ+$E>RG~^Y?
zey|VkcMLf=TSe3g-v2hv^A4#fB<Awh={xVTmOfF@iMXv_tFWP-b>tPnpEnWb5m8a%
z0dW!Q5b}8PG4{FSiGHn$XA5{uRN*yPg&XnSZ_e-b=31BK+SxGInO}|4$h+^v_m=m_
z`wb%I71UU7)|K8z6gci@zA}cBsAuJQ&1dWv6KBOkoEMxR--*>VjBE5jfemAOj$HOh
zpk`&WCQ}z*5%09h^v(78ovqjhcV}$Kx0uN)4lkrH;C+tSslwwhIe3Qmdzo4k&b%Y;
z9*p-O^86XE-Hhi;>hQGNDz<T5S`+Io^7vGUimlXwSzNnWbGUxv`1u35_uPp&-a^Hc
z+B|1K&069}?KdhY#ryik`<wk$f#n-={E33~w^@&_Qm3guwTb%}<9&#6^yJlq+<i-&
zNoQEk$l)Qxx|<rWea0MSY~8qa^O?K5SbN)QRE%csL{y@utjqaEOYR4A-SY>~_ffYz
zXR(J{s-pe|dV*al+!<#%$vFQ%^4`L^iY?f~CGH^!mJnQmhJ!nV;O_439Gr7-cXxM!
zyF1;%-2;T+fdIiFxV*3LgQ`=vZoPltQT5f%o;|a=e=Td)Ov0YE)chvqU34uck9pBw
zp4a>Isyp#GLk$-|YtwneW9oMa8_hlgh$X$dkJ_18mvbO`b7HSBcB>QbS&2D6JCg4N
zuFvVUL3ilUEBs#mH0LDpTnr7VsL>keet@oMw3md$>o|vz|Ho{<$>&L!k4Gx&3Sza1
z+~&PYyclmh;|4OmKXz)McN1}TrM~i){VqwU>0!+{-;(12eaPDoYH-|l=|`T|(9f$D
z6A$LG<J9=oHS{<7?ezrj+pv8XpPy#GZR|gs<7$!H;(h58diO?i#;eV?@?0yR_i#?u
zm}#j8df00E8FR{La(pos4bf=3Ob?^^CH<V~5P4z_Dz%GqFWN?Kr;d4b;C(K(&pU`d
z_Iq)PHS;CrY;x=Nh+cjPpSdsS#JUQ-zk<=6m3n24K0^<0qo(uHW1-}DR5yB>y1tIj
zOUQGJDa2(K+sWNIYWxP;mM$S4&|wkliTTW1oV#C>*D>R%i4pv+s6X>HwX(Q9b97VY
z2I4uT9P=D{U2>7v4Bur4J?u?QfB*GOx{{0j@#K$l=5>6oN1iXA<@)Ia+R$_HFg1*}
zpY&*ZULAOUmKxZ9?3)}VHa9PRlP6KEzsT*vIBNPWv10z;<-(ln$DE7azp{Lnae2SX
zu@dC1BJ*dR?=rs`zc1~;IT>He{!1UC`O#?pmUtr9H|SY8gE`i;qptuQp2;;3b>DR|
zH9%gY(VB*S7)6a_=!#b2*S-<)sKLBP9sNXa%D;$hCe9H-{7pE$HN%-YA;;tJ@$FM;
zkX}wgo)f6e3m52T>U19S(4yn~eKGpJKyBi1l$@4fjyp|WE1-2#4C@SX8%x|KeqbK|
z!5rpBz4>!Zgx;_a?(5`ceNYU4h<zG-no5ob&~GQH>lQs(U!plZwVh=obx*E~bB-xI
z361Fc#%rX-ft-epAuhvNPoQ;5KeTtJhKSp)7OX9ptEN}u{9T4RDav;AzRk>e7$0&6
zaQ=3uUdXX0bG0{heSrMrKy$a-)G|6&k?XDG?+|m*Mf5!dH{y^Lo#lv0UCy<Y(3+gu
zSWmp(F-A0FRbj3Q^`Hi^aSvMqv6&9rI|@^SrCIw`;T%Ga!>PZo<i)oOIY;v^{68?z
z{%(v|kiRaYn7_$+V`#w7P1x3z&t|gEZT79rF&-T2-<FzXtoC)8*BILcy)Vh{c4FKu
z3-;1bW63ywd1J$gdGkAYBrhlEy;W!~jsIJi!#+~q8PHVpI@_*sO$b@}*@<l@_^dPg
zJR&}sIVK&)9(~XC6!o&pk$UsQALa?SRQQmIS`Pg#3kotvhM}nfy-AM8G$7{9Irp@q
z2JpK-wf&0voKCJAp($)Ia}7DK4MX_(7~8V<XWiA8>jJd)qK*&Hx2;+--!&p`wK=9T
z^+QY}(OWtX`!aVFNk`mMQ0Iv`Ke%yDBOfcjux7^J$@o2-T;*jB+jyUKC7M!^!!+dl
z7qxzv*T!r+e~+~zH5`Q280xqxJ<*8VzWc#FcNcO>EW?vx6TR)xJ2xjin4kVF&b^kh
zoOh~n@01+J;iotL&PVf5=Gd*ASJL-l4o3HKau~sUb_KG+dUQ7J&H0JA^g!zqtK-(x
zFS%V%pEV3I+`#-$Ae>mDcPDzUXQP+Xa}4L<Na}5z7vnh7FF#phFt2`mM;>1>2R~;n
zdO}{&-J5*(Adf}i3KT?VE6%f3iOXxWhOt)5&Ahjh-0mlKd5NJ1^FvN*Xe@eN(K|B-
zwVaRng}yqBKRfZOHvWyRM_iiVKbl?9{HY^-ixx$<&AT(m<5j2zPQ3rp4L#I?pmim^
z5KnzX5VHrwZZo}`wgTEpG4G+*B`-CRowZp;em9ICeevfgezkR{SE#`_>iQ`;8c3cu
z(u<>Cd=p=ES4USR^5_Wvg7xYww&$T1{zYpGdLf2bJtViS>5r=P?lfvARdTN7v2zrA
zd$GHYc#oim^H9?(%Q06~K~pX2o!sm}vm=`Kpy4bvTA<T+c|*QGp{*kNAMtvc_dkfo
zXg=@Aep_2GM{u0wwgKa8V!REE+lKMuuu~De3vzJ&BHoSC5F2WGk3Vy$7uRF1-zBvJ
zJ%Q$`_`U}X2dL3j=-z^^b!e{*>%rc)VEYa}k6^!0_AkY8SIF%R7sg_|pMIPR8NXm^
z=27&1q^_Ff=KNa_eZ@IX(PI<IaU40hQ=1-aK;7f}1M+pc6?1u8>W_S%Mq4&=d7sxe
zyl=|(Y}9Zwv^q4UR~wRRa{InIy;6z4M=DE9OLBfgZ(sCQ%lVz}24hZ3NA9WVmh{+T
za(s}Symw~piO;+7y&?TP_9OQ~(6g2rUxl_(Fa(<N{suJ=PYq8;Yb58}KFsrroyZ-v
zlF^5AUI5oB=v|E7-so+N-qL?@PAot_Qqzq~vHm3&iz@T`c<Q<rJ{LgqfX38wGxCQX
zXLP%xtrwJnKD_sD$u$o#nM-UYqt%su@FutGt1{P7%dw?do0s66j9xqE-$8HgEc8Ws
z)^^mIQga)~@qKURdVFn)X6wP})TXV!PNSzFHC_PiC(-u`*70)!+b$B5+{7jTt=$~S
zB{kB<6P?6wUlQsy5TB`|*66*Gm32j~|Mxol9lrRJgHQN2*L<W7ub{aBnmbXOiRj0q
z=vhwwR-io@`o8d59a6BZAu&mg)&^+JL~V>Aw_}N0zVcj8hqLA?&OBC#x<YTgQ05J6
zKg+;8keWFTpZ+4p2k5ss)Ztk->I%(&J8%wT4tt88cI2-k+TWwkjn|cMf^A)i$yBsv
zM{5D<cn$IThq%qBmK~WJB7&$X^tMB92W)o3c1L`uf-fHUG>aVHr~V#Pr2fc{oul^Q
ze|B_aB-hK(v<U6V(dP|A__;gV9ukw=b?E{29l$ZUIo5h(E@L%k%ooLo4K}7@D-xTp
zv7I>+_l?qGD<$h7a@;I{SMu_S{G3K}BK%*8j=ki%ESjpI{UZ9VKpmUQ*>-}@wy}>F
z`<~~R*Bsl4F>EbUlraY~b{u+pp*Jx$x8+1@9@cgRSVI+MjwHt&OLP7qFO%rKW%ykO
z|CdsqL&$YJnjWCN1^U{+D}Hu_<$QLDeP*)nJC1p8$1;Xf8FVpM1)%p@LC)vs^`@rg
z(@VKBb8VfD{z}E#jvVhL#~G;WD0=TMewTKqcc{-o<oYU_?vw9UP#=!KLblm8!BVsy
zMr%oqNx`wD$?Yy`xkC!(ieUPKn2tm5$t>75z06tv=4V@Baz&0al8^cLc?y5m;<x3h
zG4+|QCik7t)U7r;ArTr^@OqtXi}>st`+Q>GIhFCZ0<}SICxkPH5yNuCvK4w;qPH4)
z^Jizg5a#0y)FJWjLmpz2Q}6gW2!D6ucUfvXrw5;*B^|o+qiZ|b7s6}U#QUpkZ$@0o
zqjkJD`z0p+0jv#@@tzn46U%GpU60=B=pCAa{Qt$+`8YRHZ!7T2`nV!~hT-okG*?4&
zefrs{8rQUFDnbqq!7Z2y_t<up&+4OfG+LWiq$kUfS7K(ddrAxk7oj!^kOTA%MejcJ
zenf9LeyqZu?D%yX|04183I5hVvx_g+-Dv2BmTc%Qi!K(PvJ~#aNZyZO`x8E2!hY-6
z-;w%QLCmZ_=F+<{j9Z=>I)|OM=ygKxGVJHZk9GLth+lc}FE=&#9?gBwya~;7(GZH3
zF6gd?t}E~vjzCr@!1iavr2_laWB)*ovw7+Uv3p1@E44F_@l#@FE%tI@cQ^JcXTlEt
z9AMsBPmWJhgK5#c6U|f6ybBFE$aR7jwF)!Q)(I9sX5M>vbMKJPFS6fS_CL*Wp&WmX
zah5RNBE~(;_+Qam0eg$Ga}EuqxAU-`qNc}_<H6*(Yzcftb1r(hG`{<yVM+z^ik^As
zN?n;gfb_78_h;C?g3q(FUq|+D$#H??b}r+@GM+1XUD5jjJA&Rx=xvmhxMpUqrlwPq
z<8tI;9yv*kuea&tTlgMKzSbn>egt~fp(`_dK%@2P6llQq?tFd~twY)WZ;o3?ZhuiL
zv*_L0^h)0J#EiHWKyO9#HV!4%x#<IHx;Q=d72l?klMncs0iToN`!Q-W7d2WPJ?YUE
z0XM;}GpfOKwvXfUf@odB{wFwYJGt#ht-PUTY7oaM#M9Q#XV7~Cy|L*1g5K1`z7aXt
zMJ@{C<1>7{fX^@Sy$ZGY0?pUZ;|inDRs%Y~Ij~;u$LG7zT7><-k=u{ND-*dLM*N(J
zV+49zqBlnt;*gE8a*~_Bm{0P47f*698{fX+V*z|EiO+uczM9(nh7KR}+=Rwxn*qZh
zlfANSHZf_>J|EfNuDRM1uUf<{F=N@i*bL~k-%UoLH!U_hV0%{x^98<)#3z4zi^Ru8
z_!@!cM`&)0|GwyOLU(aA9YEVKm<;!!KieAcSwHr<%D$b^T96vaN8Fkazcq{*kbzud
zBLuyQ&1TsCfDc3R@Jfzr;M;g|yofp+f#!l}-huxK==g%}gJ>#_wtt}qWP;gjJH}@_
z*{37>#-cSR$ChV|f{f+FnD+nc?A&(^TXnH{1>5!TAr@c8;8W>z<eK_RjpmAIUWw*>
z_-{G;iJmY}w2gvsa31QgEs)Ps5}W$$dx~SaaBOkLuz9~GV~%C)YuLzxt-09zMQydg
zhlA9#Q$Fgw0CNC2&P`rE;O_+deue+3(Gh^2b5IFwV_^)Ghf{3xg_P`L`%dAQpB!6;
zF<LQJbH)r~Y%lbl#MS`x=Af7E<HOR-^k7D`r)Qm(mKr55r^rtje%snh(QySmcCE7<
zZLOgN%m-h#9fk<@iDX}Yj+w%-1sKDTv0kU+9Eskf*a*W`AM|cO?>&0h1HGB3>1_E~
z*A`@*i=QL#*Zi)E{~gg$lUzHZX%HNQNSFfYVGy4!XP+7DTZcN1<Jj7T@r$vPF)uRq
zX>9C7?;P~@MQ=lTxC}L2g7{a#uip5#kGy2W-(C3K3;&x3F*aH*qNyPSf**u|=?piW
z>=VGgr8&mdFKHR$SX%0U7}{F09(wDdw<&r%ptlEld(gveh<|DF;8B1Y#?NB-yBNQt
z(EI=mwhp$wjDghX%L+gEc?ozyc|NzE{fqr$IktBpa>!V@(QE70N$6dH-Yw|0bMSHW
z-bC+b^ya{?zW8?=KU?9iS88I8|Iz4h2Gji<ZR=nm2n4ci1vKUJvh3Rctur|89miYj
z{D|Rk#+{7bHs}pUZ$|VwqxTMeY`~um_~na#3-Hqoe=SG<pt(01%An;jG(gupSPNsp
z=C&PdcY-YJm!AC-I5vWq6=a+Z7DL9Z$M`d`a|*p*(Hn~W_V}>@e-fd&6aK~H=R`DD
z#pgWuULqB?gIUL+sV!uH#E=92fwwT1&pWVROZFeaafdlRHL;t+cp;2?lJWatCl~gf
zV>bf(jq$@7f0mNtEciDU&9){=hu?Y8oE8m_z|PMvAQ#$9e|E5QY%jRZ=QbbPwO_#R
z+)ihltc+*(7J?Xm5O$)lmy<Y;!2VtQC`*p_;#U~Ch{4ZUXzu(w&(_a}(2@oAqpLr(
zfq!8iWMcbX=)->X(AtRO26Ox&#!1e2qZrqT@uy-Z6ZQ_Fw;uMNk>lRf^c#F?LN2!9
z<4b(?AxA#=9uKR~VfSTLfN8h$)-%`ymEaJcdqDyAEy;0NiPuNQ*~oa+(0iBhTch_b
z_UfVcJoYP5)93N0`R^R>CMTouwL3olgYV1G@B%H(AOT%FVIi!C2N1^gqtKQ83bB7i
zj?2mMH5q3jdZW=>l<`-iHzoFFpw|og!_fN@U#kDkaST2>q1O+e6XE-17={jS^z??E
za1oBd3@8eR`8+K&XWt<lH=N_Upx4&TKNxo-dTU_gx!FT+a%^uwZ%uspj@~`^HVPj*
z;A<Ov9)Ry#(BJ}t(31k9(6;}##<#qdW!rwJ%|4#&e;+P$>}|&Q&RBmjZZGsIHUiPx
z8=DugofW+U@I~?IE54=2$Nc#E*Kf_&@V`GgeuAB2R=^S13sWE*uJBoDn905;Iqp8k
zKVY2m<aRY<_GIkb*oZ^#d~8<1b|QQ@fG@-FsSdssL~|&97RBFI_`MSU9bp)H(!xEo
zDV%_pP=IYqAcTF+!4!_^%(2ZFqa9-nWz02<eH$Aou+;#Y^RRsbAN=qo%xVtb`r@PA
zZ)%Cp`S3j+#-hU&J?+8fqGJ#VOQ9)z;q!kXntjtl4UTQk7@Zia31iyWf!KJ4tzFn0
zhVAP3ke(d>z^BLf7K4wE@zoIu;`b>0e}RskkQA<?ZTD}YcumH(USRu-VBfqP^A&Dz
z{3*sd&6su$c!%Dk*eZt2HrO7I59`VCQT(}#UzhPu@N?mB%{FJR0K4DS4|am(JPP*1
zP_Ta8$vz=41g%FnHl8t@!H4nO8TSh|9%AbxHrHc&Dn9f_Z)f~zk6%6TZvuYq#$Q`2
zSRX1ns)Aih?S?rp6E;CC6ymc82xZ^%U_DWTF>*3i5Mw5>++rgmw(?=K9JX!FYKbpx
z(c2uq>^?v?{7isN_-(nm1(ngV9PYpma6scTUUxwU_{Bb^^)bg30;`i1jCF)DFEREF
zY*;N_!R9$^pTvig_+oz(eh1&|8X^<4z~9aI9RQQikOoep$?ElQ=m>*h6MTY3e0~+$
zvcCt%M#4nKX~URyEm!~>*|C)go9VEf5+D5W#Q~q5!ZG}tfuA+;_dCqO_vGjp4%Z+t
z+H4(B2r|KEw(WrW@Q{5Q!hVkPgvyLFkn!wV`ye(hW9tDn-(cIWSppzC{#3!QfADWB
zetyB<Iw1I88g8M**22{wCuD?t&=eL!0<>YjCoq`fGBd^<Sjl*O8Mh|m=fzGCHXX42
z3@+fuCj1$NU$yYhA3r0()?M~DE?v=Z1=6Fb5e$Hl&<Co6KOExox^RR2D}c>Y35-<;
z{$|`ojDHk6Pq60(S+QRYKmNg=wfOZ2|FXj{e0_}HO~Eu+jTVALa1U+Q;UT#4z7$M_
z_t2UBKfn}@FT^-6VH4x_WBl^iNr^p+^Kop?!;g0OlLNmj#|!YWB>rB72KaskvZ199
ztcSA@_50P{+jjfh_G<)D99IVHdeg4Kio-z0--#WIZz`yP?NRt~7=M1@S0z}2kH7G@
zJJ|0chCxP%Mo$Ech5;}Vmcum&=JUSr0PI};97ZutcE*c_nT%f>JISyY4NI}z3O~}~
zkM-CXe9M8KR@XJ~`79Jd!*sX_-ss8+g~9FzC52eFFNdn|nEn5TryO4ob~Bz2G-YgC
z&ppRpDD=SgF8uh3Kh<CrzPW&%Ghg6yAMl1<=;#3@Aq@mT5aa{9o?i-Ypf>v+g)$s}
z5jrrIJL7JHR=@S0#pZBq7r>9lFcqKj;G5lxXo#=TVC#?_;Qm{WT`w<z4X_%fKwHQP
zx7lw91i(Cw^@m}M^_X$Xz(Q=i#$G9yj_p|dC<b%!=_~%(nmPtwo5M?dw|S>9d_>Q2
zh=94U5VpZh@Z<AFunht^ZW4Gi&RodBxHczt#D<T>7n)()2|rdtS$v9tF8KHcI^*vR
zD2V@K;3Ry46le>9jF1?fvuzjjfK;%bW2%77%T?eIW7@iA%5S~ZvAGG`zR(L_qVdVr
zmx7O_;4D7323OdNj{Z;?azH9b4Yq!&1tZ}YBw^nka0{w4hRyqR8S@eRgN?-4S_fsY
z9Rt1b#RZ?HLvnna0nYernvX(abX0>uun_E;%CMhpn|<a7$Jw_Vc)$Y2NDs>xGY}?V
z<1@C}!bNP`8el!Xq=q^8l^mAfr~RJE*4F(XC%i_F!U~uH)4}c+9E7Kkfqgo`AxO=!
zW8oXvT=)fsGrl*r7C=^P?}l)EvFo+U_;nl#<ELG-I^ehU;Ub6vCp4vpJdh7UzzZJo
z*#_tUDc~T-)`vL8>IokhyBEB~Ry(+Z?RsztUu>;)8NZsq3;Y}dcAqU8|7Sxp$O}oq
z863eEvO*0Q3CF;XW2|paL0-mM33jb82W-tg4^m=#5v0Nwo2UKoZ3Mi4>iD|`5}+^|
zy2E_f11I4O*m`0OjDVVu1kSSmzmN*{FisV?#n`PO4qKh!CAMwOO2C)F;0cTIuMphA
z-%(H)KA|HL=EET93YJTo*T%sHuo||tR6|$;Hs7~koD-0baU&oYTQk8M+oRwsbi<z*
zD35>Zz!`rVfUOtqfoUlQ4Z!l)1=>J$2nDMJo9o6yNqEi}Qy>RKGOn%VVzJW`eqeh7
z1j0J}DG9gmZvbR~EBHJKYJk<K{a(WIeFjc|)%$(;1=;w#87zcHkdNah!ZWaQyqyQq
zV`nP-gs#}X1!eGO9eCki2e37f2Y%b{e#XIGxC>vv`qLNO!18|+w!#o71HU+SJ2VHo
zkFtt!OM%(x4lb||+j-$E{@5Jq0bB90IV1(sJRdqiSukBekQ7pa)qDl$28$sI0y(ZV
z>;S77yZ?I%a$?7>fxkdYY}>jcEB=gwM^FSG$H67=!~Y7<7v{qbu<MIczhCXWZMV;D
zKimH@$4!9Z@RaeULSC@-a}V$VyKb<1|4;E}66A*m_&FPF9T)(2(6ALILvOI(2etV9
zYVWNEHiPwm5Bu9ZKMA5Bgz*N#HOP&fDPVn61>0-E&Pz>UEBt~=_&Nzr!FR}lj>=&7
zaeG65FpV9d7TCGl9c<mQ1T42H;4EX=z1Ylf9y`4u5bPdHYw&=b_|zJb!3BJs40XV+
z89$-rIvj+JVD~K6!7exhPr-iATN3(!tua183C6PT#JU4{urU_yLP2a#hKG<JpGKNr
z5P+|>U_9)HM_@gj8bTpI<OPdE68OaDS70^tf<o|-aV&oAArS0(un*X^imiA4fy@wv
zPZOXt*u8+G_-mT2whMxttA3*E^>2O8c})OYLuG{W&=YJ<z70W)VfSHI!D}dijmco=
z1^d0-5U|(>;gijyYryVDWWeY8FbX!n8F&Ep`!>^;0P%1Oj)3L0FW8)CbNzM3m<=_-
z9S&i`<}15DdL7&2z<l|DPn)4D`~{!z+3wrU2g_M~C<S(&v2{}@SR5)qOBe=g;5xW-
zyxoHx0s=0KUlnG<J;;V_tFZ&%fKO$?a%_LcYv;{O_+1?=XSU{yfE{2t-v?X4))dz7
zoxs*<L12Bm9sYsB@R9MiK^MpbF~5DN$*T{X!#BGRP#-eDdwf6hTZhfJ{h%YX0-KXM
zgWWTj3LD`P*!m(X$69V@ft}xNZB^^HExTq&i*38tu^R0B7=mwh4PocwGw=!0;D0G-
z0zF^|j0Vg5Ah7?x)(A>KFj$;Ug5|aaSnob%>~+x5Y(OlwSAg|!Mu@{V%W;3G1h($7
zJl}vrunrc1&1Z)FydI8#tx3N@dXA|IgJ3Jzn078|26jF$y+PP+2y?*ZPrGkv>#aVp
z60Dcsfj>I3|JGEQSL<!Vem0%<neAiy+A($x>IYUYiNSs!x)@r4<u?x7Hb-}d0`L>x
z&Vc=$ht+jiF#nw(9xZl$J`Z*cVA#*L%|5ezY+pO33)q_KIDCds#%>2o;3foMyDHea
z!)p2sWWc{#FbGWZad-${z|PM$@238Zt&M%)JD=Hg)@fJ^))S2(6n-$~8JG>tAq%|5
zw*9@|2&e|O28zeO!!R3qKn<`pQY!F*Uud(M{R}_Ade!c?=7Ne~=UbbTw}Z{gUW{2B
zET${L^!j4kt{eV=^>7<J@v#8d?@fopaySTA;1RqAn|rO+--F$IjD{1i3G95^4Jtqy
zc*mGWVFuXwJ{0WSe;jNb&<gCF;SACExdWy_PiO!(|Kx^DkOr*QEuYz;FjRpyFcg--
zF?a#CZY~48z<TE@IAgm2*gAd|M8Zo*j-SQAG!F#p#r1FitT*jG&_%HGtF0Gzfz`rf
z=mm8kH(2cKT(<`%KvOWiwzj(n%fRl3SAaC|2|urb<;e1Ey=Zwe-KNWG*3Mh@YVU1(
zM;Huq!OrE^;R~c=yh_jqmV?>*0XeX5J#00-1#W_Uk41WXwO%&O){7Hh0oe7j<#7va
zgb0`q<G`*ht&U5A<@OunT!&3C63mYM9_bf$E#7Nj5Yz!%_qoAid_4ghz~<TEVAsl~
zyA`wmTc31-zAzfB@3(>dzQ%HE*VndQZ3uSH+pd4jp2gX&3v0tbSOK;!cn&sqWrfnv
z5W2ts7zL(%((hO6)qkNAGyscH7O>pfIHzDG42Jq(=X_g3+c{|`*jk_iSnb(->Hx9$
zZ1b1pYdOq-v0&P*Ztd0HPlu&oS}jKR;2Wf5jAGCnMuO?R1fL)cw#$K?8>hhzxCYjD
zzQ27h&TDmO3btOd{_GBagXwGuR>KyXT#y26p1KbT%fR$Dg8Yyeo@3j3*lKz(Gy(I`
z>e>n7@!Qs3HrMWfjSvAVU?r>tJMSEXb6{E%z;c@ntVb-4wyxO#7vLQv$9560-ZGyS
zgU!`;4tWdi_?`+vp(xlnrZQB6s$la{803RY5CEq2F`NbKk?GJ2td8=4>3xaqb6~zq
zgl=H#4?91l0#|sC|Bt|Qn<mp9`5XJ$w%KR4&j+x6NDVed4d?>nVJ)13r{IBYTW3`Q
zTMvu@tLuYcd42}p!5ba6=FAA$!SoyUvu(4_Y#-Aa4^eOgY%Mbpx`XMp{3e5s*tT=T
zepm$7XLhc%^`H4`^NkPuK*t++0+z$uzq!k+)%{Db`N^~fg3SY^p)uH8H5DwTruPZh
z9GwBepb6Ny$?~xd1WfZ2NC3y*nv(EpHESe;#NY}xKiT{q1E*mpSiRU>*coa-KCqgy
zbJ879SPhfF=IW+kwP=5HnGuqLJN!bEtsyLrmUpY&ui(gM78mQ;>`)x6PTIo|m<!v$
zYRU3zdecEMs0V+8<#-Wn1v__Mg$H0-K7!>t5&9h97eCuQ66<$clSYHp@qVz}TI>cu
zYp@#14W{=ywjYAUeG8ahmgCM)AIgH|IV)I=nr`b&FYp9!@CVCj2FL}bwJO*=W#`>-
zuoU)yosUef1GZCw#og9gZNdDT3O27=j*h`)u)JAcTD`soTaVeRy^n?4a0x6%cAOnQ
z4F*Cxs160e=13QKf&FW65F)^8ZvfalQxD2PA;<}q>r`O+Y%P%jET>lYHa}TCgoEX_
z6<Do|g+;I(PQwGRy7I?%HYf!Rpc@Q_Sr7r{yUnxbz|N<p`#xCC?bY5#!3D6`*!sfy
zVLpt7KF|^>Lw-mNuJ9V$*29so5$3^YFkjn1U9j4=yqO-$q1CMA+%#GoY;9H;N<($9
zdERPdAWVkkunW$>eXx1M8{5{yg`pa>0`qY+%!XC44Gx0oIRmE6a%tGl)~}JU4>rSc
zm;oc8C)nEA^jdz?gW3FqZL8_?un(+{XTeA?%{G5Ef*N4DEq^7z&Rd54Y&t7JZD<M|
zp&wY>=D=Dw02jb)nO;w9TaD#~a$xJAPS795foV4XH-Md=tv3&Y{KkH^ZB_>x!RmM(
zOoTzu6`DXLFufTeF?_?e_0)BUgsouxW_4}7Y?{q~>&N<FwOSQSUqz@4)xfk`Tv|gn
zu$~wPb72ka1<P*?SWP)%I~mwot0+`~reJ<rFI!Dot`>pidOcVUE$7>RzuJ4N;T2$Y
zJOwPbeW5*ApHu+Tn;DXT1DJiAr_X`q!Ok7lb5meASgyK4TQJ>?p&>N*{n~`r7GSkt
zTK|C&V8`1yHr{?Py|>{7`~Y8U+x35LC<QgZYOo8~Im&#ue9Z*Yvji;Xrq5oN!a}fG
zFs;@LHc$0{Hc$`BLm|il$-xCaVEYkVg`=<&tgh$7WH8_RgUz?5+wyJNOuxN$fG*Gz
z{soKCM6g<30bAe@oP}t324BDf+ks%dSPsfUEilbi+r7bRa}-Q~sbD!b{l;{d3|9Zc
z!Fr)Pv<2%AtC^Bu@yq~8z!?&-{RD2nX*dYx<4TwZmZvc=6ijztusS#WMjtSpgTeaV
zwAvi71lEDgRgrKJtd8R0E4X9ZVx9@Ck8S;7KGug;&>4Dx=@<f*Z_DAB-&h<>r^Tcn
zm{zM}>kEsU<<@#76w*Nem|mMdo`Thy%_-*F9@q$$AItL$m;_^C6pR4NqrKXD>s70T
znXmxtxD8-h1<t`ucnt607ub9m1lC)5pg35+nXiqZHCUei2GebQX?1RxKAX>bg7v)V
zYyl0RI+TSXkPB?CN&#MAcHcuBnBGfp91ei3iPpk0FwK^;X<)i6hla(#@;@DB!$L5v
zme=iI<JfpMu8nVY%%0gb`{sw$n&qG{lm^Rj9Wc$7XVYT2?go}a>rcbt&;>ex#m4e#
zJzEV-ujSTi+2WZJ5`*Q}dg&Ed4_gk-gY~h^F{askHw`xTSbdvr%eQGX>}T6H7fi3k
zXANwI-Eah~Pp-mUcm^N9G<#w{8CbpLfC6AWXL+sxR@<h-bhm?!VA@TmVfnXsnBHb!
z`K<{R!TO^h<OGYU#nx)d0j#F2ukJ$>SpAu1%g+wj2sVc;hs9vJEa!&Ruf<|1tOTnG
z(`vPB^VA8j-nCdhgco4;%&r%h-n5VntdEO98K?~AyXCAAm>#RymcOx|ZJX7B#l`xd
z3RrGSfW^+VT0L9eSbkmL8@Atq)tbfsI+)&LVE$T;wu1Ge<!u#MzD>Jf8Y95!U=vs!
z?*+@NX}tgz!+T)!gxRwB$_d*RZ_}FwY@YrL3W4R={5H*&XRB}1Wb>|RH|%HIRu?QT
zRl({a9ITe}f$7Zz!C>>12PA?|*teRt`NZZ>(`<EZ{@Q$FwQc#@29`U^_j)jmhW%{Y
zY+ko|u=&pB`A9eo*1wittDpa^*>Y^>3iHWwkpnEx*3YKfa&0;+cQzN9Hp``9Kif9b
zS_#TQDKNeH!RCb!uy`g1UvPz=_+d3>nxBB>!u-1oXTfwUSiViW<<IhNF)-|B+h+BD
z7)<9$usXQ{HkOTPW4{FJ-|t}ahv~K0Tg_P?Tb|8N(`>o6`nF!Qxy*8Inhg8dVqy8T
zxY&NSzvVR-WCiQnRA5@Ip6wiHePs1zKA2vMzx7!R+yL|U0@(V<G+3RR9@B5R|AW1^
zp11k<6qr`a>ovFq)+@2_9NvJ{l*QS4$~60f%_*tD@@)Q^?mS?<X!$lx)|;l^^7sdP
zZ<_6#Rs;%y#mjWtykIqLISvGit@V-FHT$389lQX`ht=S1upa!Q-EwZ4Ebpe@bpFBK
zn`VoR#mM@?>cn~^8Z6KM)ope41DvpL{bhNup0@h7d}oI2V7{9M({6b*T~@aigFo1N
zi;L;CJm&`MVT+x`&@@{eS^xNe8(6+=4od*bgU#Ef`vF*QTdvG^({A&w=`sDL?GN_e
z@@sWrS}n&`(^fMUKbt2k&#%Gkm_4&=y=A%f1Jj%m(t`PFb#A&X=Qgid-c7&h`h&eU
zjTW06U^*?g7B{PF%WqP!n0kWcI1!kAi~C!!etQPy;~&kIC#!YSZRb_fZo2+p?@goC
zgz2>UuzI#WvDleb>z(&t^<?>V#ID8LYR&YTU*@0rY5tnurrGM#w3u$w^#^-zxwM#=
zPOA&+UyGO3iuH=+_5adpy=A^w{4Kw6@CYn7mSgkZ@@$$-(;w`;>9crPE={Aw$m-YT
z1?v&38JjEqtJCso@%9DlFPmR1x7N$1)$(ipn_kmmn*U($ZM)6G78BEG$JntphK*%o
z+Sq2pY*{T?jK6@@*MIYB`S_#N{5Kt@$Ml-EKiGTQZn3bKSfBpUYVrD$(|7!AweuBh
zzOcOh(Q7?rxwSl)pVn)ZU+X*5U|LL*X*YfU8{2N5TYS=k<@S$m%dgdp&5LHo<_Z`1
zuXgjx@@zS=x;CH9cdKoSf$1?_76;R4vG^~x%|5eztTwEkE!P%9>k-Sh)zJSH1M|fl
zte-76=BN2<aj-hK+*vG4kHy2Z{TJJ2pV>ZE&lWq=Z1aM})8cBnE$7xp&S2Ut2iDJ4
zf0ldGZ}~SrEe2Na=DWqgbXY7*(|@sT_L=Qtb!~Aot=7X9OB>T-YxVUVeu3rvk7o19
z`r34xpH`oLw3`OgZ+iZVZL`lTK7TY?%&dR^zjT@p*3bW!R`c2Pn*aaBw%KPEk3X6$
zht{{I%VKBsY}zcIiSWVnS&Xf=Ew6txns27l{4}lRv+4aWw#`1XeQaNgjU8{}*myRs
zjc<0$p4m0~=7;%X+RQhLyZLGPv^@N8Y`cAK``P|>oE>lRv9T;xHm=o&*|0gn>{<TI
zw$+dM;RNQB<<tDL`Z8aw$INf5Y18okcM|ch-K0__2PIlxGI_NpB|k6o3F|pDBy3^s
zu&^Zu8-^W-?;RGsWn5U3EAztYFIgWpvd-bKWcjXz?HK+dY``(6QsvJDlv*${W2v1%
z1xqDp<x-wITa|jAV_>NZJ13T^-*9261uHj}%CP@Psl$h_mD+nbzEsw+j^T64_=TTL
zmo~glioe2Z2b2nb__S7d@kVXK-5mZ2PqATCc!`>m!+(CA6+R-(!tm9>OT(S2EeoHY
za!L5Sr1Qde`%ekqS7})If@96YpPnupp0%KV_~oY8OZ9#=rBtg?nM!S{Ju)oak?e;j
z1dcvZz2TK3n^QQ-^bLMe=wb>Pd?!dgtPPZ`laooBQU21fn2$6J@sLDQT;$#&N7>Oa
zkra9V<H)5Y-;b;~^ZiIzr=Le!?@lCRV;yD0eivC@z=P+}`^cD-0ert|3K<ZQT8jLW
zNlv-ul+Mlb%Zu?PWZIkxl4xdaDLA#cv|rRkZlCKfPv?)41@9)w=C8A*>cOQ_FMPeY
z&fF!V_NkOTa6xJ=ijgMG;$`($o_DazMZ>E5YT{xkG*_o|+Tlnxy_G7TdNnMrVI|9H
z>6z8^m47|m(XENLuh&v1{L@A=jccnnDzwo96I*C}*+x2QOii6PuAKf{U09np$*zg=
z1?w^O(pOo($oWb!l5C|)*B$Gm!ogW`>huT+9^66x*6I>)uBcr8mR<hcmPW=lN+xT1
z`pSa|9(?DCs|;@IEDx4DiBpu5^t$iNv+7*MC8LMz2=^8z2S3@|BB}Il5hN3x(@NQT
znPpd_oH8*uzdVU3E@3X^rB;QS;ythl&k5=vdq4M)nC-(Q`RMVo<ok39%(ze-93!OV
ziY?OK`+&SIe^MUTzb5@lK9s!Q-^df5>DH~AyDom|ryF($Y1*9`^yZlyn(=0SP1ssO
z2c<8sg<e+Ea~JFC>miMG@TTVK<kw2)v~H!Fy0_2<DVpfXdUf?jg(_M%w3Irv%cp;L
z$gB?!B-c7G+_cQQcXD^}4f!<mu#|RMD<Ms0$%Tm{WyJH&()Ms28R{0!|M$x)TUUoj
z&qt~GzUvf{|4D!>e4khz)%BIt*L~z$HD77FEU~=W<1bUkB$bm+f!s4s#dkZWlQ{!J
zB-4hRa&tyLsZp$$?AcsKR)4O_|A%QHQDs|8gSLN5#H@kR`28sH-aSd01<&Sh6qZPj
zw`(M@_jc*O_mFfvd0MuwjFN`cV`bH`cQXE0B6ax8v+TqDb?ez6{W&6oeyx&2+dJpi
zJR^#0u9;=E+>a{Sd1!4Nezk%2+}1?9UTvlwzBSV}Uz+HvZ4LBg##%b3Yek)Ls)P=n
zo=4Xf%A_X>C)e9a-F3j24-!>7n!gW>l#RVM%JG)-W$O2FvbSMBsXC;E?0QjE;(|-c
zw^4be<oay<Kk<z6wtpHq+$UJ{Y>;HA8YD3ng5*iTVELzeY8llzo%BzeNpeicO6`P7
zli~T~Q_`ZcsY|#dpHhkEQ`HuimQ5ulO9zRJ?<JG=50w{}$H<E&Q)KkWIr6IJQb~Jm
zt&I4-UFJPKB*SK(mbR`@5?SmK|4;3$RDSeJsxNcXz=er*>Q#EDU^<<(E~}pL$)h`q
z710aM;o2l$MJ+Y4y6!kz=YRBn{@zFj^lGd%VjF7Xg7x%bn;PmmvVuN7Q9=t0&Z}!Y
zLiFpMKyA{)OXFH|uh#96yy|>bc7NR^lCVND_naYNEl0_-Vm)POd^7o2zq&keEX}jE
z3QK5>JaQ!@rxe|mRsP)+B8%fPOa4M35-~W7EMApORxQdYcbnuE=R5gjVw$4zHGL^*
z7hhf+hgX;A=k;Ym-j?Firn5{M*H=>B943kSjFmD=r%1zAb7Y4ukr^k~$e#Y&B<bA)
z()`N_nQ-BX<ZOOVc1FCAaZA3+pe4>azL2-B_DQPK6Q|PaA(=Eop`3awb$*`BTTEYQ
zX&o9=N&g;PT_<m?t!4Yw(^+%s>+Og2^lQ;NT4F|Zt@OTv79J6%MFthnM)|Yr9G^7$
zzL&plzu>INo!?5xp<7bE>@j)ve5<sKUMj<arc0$+qa<a;KK%V_8@bc9p0u7@StgV(
zEr(JUmwo37iJM;m8L~B><Qb7qg4^Vm-9-w@>i30Z^r+%;Bes-e_b)H4J*rB^OSPp%
z=f?8sZfogYu&Zny&`(<39wzm_jgjdqC(G*SSyF7xB8f^I!E+ThOV;yy_*<Sx`BCJ&
z4ETIgqT4-|0)yYlmXti_G0aV0tn}3m)b{r0sWsWk%v!l@sAk-dUwdsXrp?lp)<S10
zsK>um_3oP*`uJxpt=y}&&dpp)LmjJYW#>xzq(o^wexrz1@XM`-3T4)1>w~o686RDi
zz;j@oUP_BjH)O?_qdW&>n*?87E{U?tl15|4NvjourPtPOQu<~~zSFn9bo^XhV#-vK
zHg(HM!pqW9_g=W<awsi7^Oup^ZOTc#!4;)Lzp661Vl8oeTVDcuG?SgD+Dgo?t~}ef
zpOj59OrFjhEwyJ)6yMY{<VNoK(miUKbWXBPUcJ~RT{;|)5@U`_Sd~jscK2-=bSzHx
zb?3RcQ9SE%kDJcE;H%kvlWYGrskQW;Oq%~?4&D4Hub%2%MECU!(?gre>a2u{x+Qs4
z^?guHw`H%cJ+4;OtEVbyH;;0fYfVYbc&eZljR;l8u^Dx-1nQ`DKALE*qxRbPTFTbA
zEd%~NB{Mtikt*fZ%7r8grS7SzlB&WONf|XrJ}2!VXA;^;)-26sTl0qUym4K5_o$Y1
zJzG=a;%oAE+qI=pr@FFxX#@Fuq>0o$+ENy+ZZ9i3b(8JBeI@IH!Qwi8q&zr0PGWjZ
zktyqD$*~R#rQY@x@_O=mx&3oH-^qGV0yZC)%x^AA(F@U%v)mIoQk~~u-{)C!A6+zj
zi?<G$oJ5lkOR1N8rq?eOvugIZTv{(%0Zsk1s4n;%rVB&M>d;0NbaBl}n)^j1UFcIu
z4=*oI9hKG$=}PE_d<FHDPcAJQpGmhQ30A()N1qLJ)yNf}rE8YQvg6qm8JQ=N>!BTT
z{aJ*R?z%u~E}tg3x{c$xJHzGmpnqj#LU&m>tdr!p-&S1iwvrN6TgnILmU7}*OYwTt
znrG;?lb@G5$%d_eOTGSmq)xVhA}xnYyA`A5agzy>f7(=uEInIl{IgJw<XIul`mW=7
z7~3Rd-98z(I8r)hJ}2!;Me*IE_hnIr7g9LpljLx9)P$PuTJWf^4zHd}AKVYtF>N#G
z#3Nbt<<(qzaA<yAy10lQa4D%triN=v|FYVqLphz&vz*=yq&8}W>(JCCwA<uD+Ea7u
znYgUlqG&qx_?BFgbobHm(N3zLK1dq>N3y!!6<O_Yl<!5}CGULJN!Xwz64!S&+9u23
z)nn!2vJq0V-C#L8=pU(CySJ>}-9vT`?=B%Tx=Xh6Jw#LYmUMmk$;V>@q^<KX*_3*u
z%-A$Wy6l`Fee+F~WjSZDW|%KS<}Q^dzN@9L*CvUax>I5nALKg+j!TIq7bKI%O(|94
zp{#iOLaL<xEGKU{==RHQ+BDur?*t~*G?h~7{0`|fZ_^Mh>XlR1)XSsuf(mMAzM`sw
zOX%e5VY)GhIOGb~;lIN4_=pm^VP6s5v^~F$9G^>zwa=ot2d34p4k>h3Az$@u<e~}1
zzsROuPo>_<n=;t*j1;_hP>#E7lYh3a7WeauB}>^kJVSCC=dlSAbAODqxj0fjEga6X
zO@>M4Pea7*<`9|ve5m;P441kaMo6JEqhwjTvGQ}k1abG6A|n#d5a+3L<n*|OGVtdz
zae22|nzq{{l^gGryjKp$x${TmX4P|YqS|$-bN;RbpLi;Px!?2b7@ko!(^<1u^3<70
z{nRgx{BI7{91YUzhm#>%@ktJyGb^{&*^ysgrZ21kQdBE-FRo{kme2_ci)-$WMKvy6
zVO^IYzuxuvOM??-)2Hb&=<1~@b=TGaEj+<f&$o2c5~n{%jv<fbScV&NJnpn?dT~fv
zhVPK2PuIz#=;czzW1$4Mq;5}7la#q8OY?sx$kdtRq-3|T(mG*`v`;fug6@o!(OJjK
z?k^K$XqCxQBIPuh-)1KN$8N5CYPC=<CtoHr%SG_)mi2Nd={E7$vqxq|9hO|ZPsovp
z7vy>B8?rO=eMz_YnH(DUUUKgKA(zuQ^K4uX&Gyb$b9YRt*)Ip_iJ-LVkTa9kew|g_
zD}`!IsyuqWT7C^XQc#=JFRZJ+71s5O3hUm`LRy3KMakeinq_iMt(`K9?ubpN1(T)J
z?zaN;bxSWDLG9PG=b6ucE~As(k#^%QiEEPMa{APMzJq_8j6c0jCb+MZPAwM8po8<|
zr1xwoQ(}f(EH+KfewreET2B%0?o;G;z*I?DZkn9`IbEg~oh6+=%;EnuEs!iX7faq>
z%ca<o)slDD2ELnYo3yF2M`oWnBzg6i#D<=eI=<KBO7j@;O8Hn86@DdKw|<f{`xEJ^
z11{=z*;8F#C)UAk$@GIqN?rUY4eP^<TH{0(UAHucK6sl;%dgC%sTStbyOH@d!mWVL
zYQlPQPhK6FGPhnt_l5LXwaV)Znkso}9mo1P%-v4|Lp=0+2}g~8_EE0gd?p=-+>t=%
zD{_3yN!gI%usk`mOX~f*S!RT-mFsRRdA{5dDc*9SEW0#MdO6RPe_qa(S3_pY{!O!`
zV~;tK@yJ}6J9ECAe!5Ve?O!5U-B!rRvk@}ab-i@kvzcet?2y6#?31jckBGa=2`QX#
zPF~i&CV!=jk%{GE<-qwDQe$0$R6EDB7Lz#ZgKO@ZbBT{Sv<c8zNmFRj6~P+$Ijx2`
zXVT7_v*^A1*>%ULP`x_xFa2;jw;n8)M?XEwt@}3rrA=pqYMuqz_4JhxJy|1zhUQ4E
zIYy<>@q_&}s+gA!e&nn_LVw7^=Wpah-pBlZ@o2f_bV*i4o)Fjmhxr}U9{CuxRm%0<
zAm_fVmcq?fO6{r3<m&Jx;*f2zr0Ty&7Ij!8RpS>)-S3MfWY$vYuxYuRFSANM)>$JZ
zZ?BixH#SR+3OnRu*1eK);2}v>{HT2CbXpQSUXpu>Zt#4cyK*kg6UmbM70<i;C<{V<
zNw3dNy0)vk4twmax9a2T_GEhhS&$xO{qtl+dR_4|lOBAQMLla~*TQLX>Xy=>I&E{P
z?y4WEEAr>mS{1VEp_y4Ub>>XE!#kZ8Y89+EOC;Af;-^DBy>xz27d>;2=af!*FO4@o
zm2>Uy%I)ZDd{^o@sS<Wf?w2{l|DV|-o*%bK^?92lmFIfCgKUkI$P*zmFRhfpNmt6`
z_ba4vyOlD%^(uK88zI@_*2vSg>t#~oO%i;3tN5?jDTQC}mBH%|$>Gb9vZ(bbDc|@4
z&%n4Qxw_w$i6b6LkEhQV|E;Xz*{=6^mieAf&e}Djhc2z=qkTI2>$I-PG<&%q%^jOc
zM;A`Vv!OHU?tPi{Lu3}6Q7oIjO`2V^m&vYA4rSBe;aPRX<Pe?rETeW?mQEugQ)#Jo
zfqHFO674k2SM$~M(6Zl&E6>^L?(|-A`#+Np>+gx*izvPy`hpDDcv6amsia+TKsH_3
zEq%{!7w6GiWcSC7(k{gYd3tA^{1d*8?>AZ}F-O)(<hk|oxba45)NZppj@v5ncXvpc
z3VS3d%>g;p@(9l<JSHF0oR*QZF374**Cc*^v?Qc`Ab%yq$pZh^GOf!;8Ot*m<F7hu
zx!tb1V7{kz?d_`{3I%9rbTWNgB}j7)Nu?QDrPZsk>9yaNjOsNlvpOsc(PzF{G~1&P
zT@etXVT&?py^$I8^2M~8YDy}V3xRqnBB?&i=BKTDduf)1t~z<2gT6WQMf^Lwk)&PX
zq~wRYQZwj=?0<ey()B(q$@d<WZ~G6+-TwQf!JFMuBXFl|c)m@pwb&|IdTiml@V4-M
zi(6#=_bqZN|2A3mbUV)p+a>Ya_Q>fY`^Bl~VHuV>QgU=S!J6@`#HGC?gT`K$_;R;p
zU%dy?Vr!fvtNu!sWKQ^>zXxuy-a)%obWx3S*Q-Ok^}C~=j_H_0Pp(L=6;}nRdy7<h
z=2#jXb~2qFYm`CTcF(8@KQd|;Sl2P5elC$gTMtdA_wuIE>aBydU~r&T|2wH(|JzR^
z^LT6QIXC@M&q+5N{UJ@<62x=<3t2upRwgICBZsp@$(!33d7j4^>0aizwC3?S{w)s4
z;?Dc!X5d~q)n>P(D7Q;m?%v6>mv&0$+`ITbyWJACYLA?qwojJ6JRsxu9F}j-RmP1v
zE|J4dOJK}-*)rpb6kB#fuK$XW3mYEF$i+`3*ZEg`r%Hm%<#`aN3p!}y*<5>laMQGv
zy>!iFU;VnnUl(jks_h1((DM!{HDj?<`Z_2L^Hy5jFh8B{3`wtT@}}2Zd(-Kl-D&kz
zt~5F>B$aNA2-2r}lI#2~NwoRp#M<|pmwx;1rhh$i(w;nb+H=k)nRfKGl&thr_LX=b
zAGb$K^WE1ZORbA?dE6P<-Qt9-xgIHlo*t29vku9G>jxzD>izN~(SA93f1i{nwO?AN
zJRqYxALQ@#56jplBHcekN`?2wr9<7*k}BzW{@?Ru8M^ekv}+wL?!E3w|5LFN+x)q7
z41L4>-;a{A8uxX}IB1Fv&RTt(n^sxssZUq<XqoYT8dV{QF29;go2C!c{h3qhf$PEQ
znkBW?_DiD|#;4JVlhf$E6lruf+s+;i)>99Hw8Xp=+Ve$HO&ag7XIA*?l8j#3VThZC
z9COmHE{Sy6%Fp7^{jEG0{amX5cq9#;+>s2`Z%XEpS7pM%3$pCo8J>}LQjV`YCSyB9
zN{Kxp(Nm7d>t~1M;nBkq7<fed9v+dNsa2Akh?LJaj!BssCnamvGZNkWymWtkNlsqB
zCV%_fl0nn&NS~$;B}2zJ?hm|>Zkf0Tb@Y?`J)CE~t##1utkahCchg37Jk=x6M~5Cx
ztN|qg^yv7c+I>NC^<!RgydR{E9D_Cgv0zP|HkCH<O{Hb02J67(DK&M4AicnOYHO=x
zS|Bb!uch<THNigm=COy)pW>?PGdbz3Zog!1#AjLN`A%GR#LLZXkL5)2`;z8Wv^a)G
z$(CeSB&PcXNnPu#RNZ$<o~}M2JyRT)9d5_OxzADQ-|(n-Z96Jk`X7__TyK@Da#DI!
zWiHr!R$6tvAZ<rp7SGq$<jeY-GH`p0v`X|qo=kZx(;GaOlyzQ9mHr>(InOFymiCt<
zly%gxUz~N?YBwEO)>EsT_12bo6YGN>{(59^5{<8sOsCyVuJy?GYQG@;Mg10y3DPTD
zf;4m5AYGn4Q14w!t{XEX(|0M8=%f>V>X6%4L)&<16z9Q`ja_tGVMi^L{U^_0_#^?Z
z-%6IuFJ#*KC(?ZK1Cg6Cl6Ce?nQ-cwtm=1JYA?Sak1C#%PF>H4i|1(xNqb6U?Mdmk
z@}wN{Iwf!JoRU__&q$MPXSug`UOxW1DDO91k>ne$OS&&NW#sf2soMR%cutO$U9nGP
zcK4Tj=g&Jyp6HW!@O|^q0~6`pUygcjsEcMzaMOtmJ+;>gZ~btF`TMk=R+<~2&$B1h
zkind{$0XNt;VE?6+7!BWPYSKqHH9WQkz7-pNTx%(C)LU)1GFsHpI4Xo>b~6GdTf@5
z_KI@V84k|+EWLwn8qM#c?tYZ%E#FG7G|XcmaWZ!FLrGfht~}@(&2#T>NLr6;l8Agw
z>TywWUp_DYt~@7|AD@-Pv(Cz`jb~*@&U3Oc@p(z8eL*h2yC}=zFU!gz*W}&JDEa&N
zE!qAxMt=3aFWGX&@?7nwaw7bNIL~+^lU)<!(HyRaiu{!Ny&SaZ2`7CL;Hsl*xoh`<
zo;rEFx6bRsxwU|wra0!W#mJpoo}@a#F_~@|pG^BiCet+QlWD84WIA#Lwcj_19taN5
zc?0}(&pcmE!Q6i?pQr9T>ZaKXyXdZkj@s|-FX_4ct9VRKkdpY2?sB|D)Q{tPnI6d=
z?vX{jxh*B1-jux+xi(I6O~Na4tsZ|#`h2`7l{#G%3BM@C249ruz)LdL|FSr>y~49?
zugOyPD4w->Q`$U>mXas#@Jw@hrF5)ZkBXB$i{qurwAa#W4eO!XpZ@200Qrg~Qtx(-
zdS$$`?px`qD>u4p=n_vo)ze!qrSsK|s}k$GkA6DKKS14I2WbBZN%YgbB)aTH5<Rs!
zi3W!x(am)N)T^k!=D3qsTbK6LQa!x2#owO#S2=gx{=-F!FL%<MMTjfUwM}&WGyk{l
zgREKiS~|6kmoLrZWZl|F@~!-R*&B98lFyBn*c#~W5+$kQuZf<&DvJWHN{YQ#B;?=~
zX`AY*WQe*deV$yCB9)^g_~#9o_VbopsSqPKuiup_s~*UJ&9OXtF-{7!ikGxMUrEO!
z@8sg*kJ6pz_wJs~GqNi?Xyr;y+APdPTV`?7Dc{`n(=Jb)U(;LrANNu9O{|YY{PdK&
zzdqXHuYU&y=;*Kjt(GxBeUJKUm9+kPx`?07OqN*Vcl&6;jNW>^rKf)F=dS&_x$2Or
z&e|)LBlE*Asoj$2WVwBkG#B2<c6}w8UOpF(#&OcfFIEO8e<1C9-jxlRVq{C+XgRs)
zrnGKzL$Z&Fl5EaV^62(;>E;zBqozg4ypEi6r`?onuF+EN_-$Eu=8iN7xG#<8J(Ry1
zJ{E^+Pi0!qcnOhLGAZvnp4pVZbCteG5uP7gxl<yYU&c|3rEu0v_gpmj95>xu&_n+{
zz_nIdZ}n*EqdmI$>e%XuHRZR&I;Xpz=3M8euOj^Pd0Rg%{v@#m=SZw~3i#@44<C)(
z;H5j$dFu1O-8I`{SB=>2te18>YW8i3G(FGg&ROM)9B7;%-zUA5TQ6S9!;#M=49z?H
z#mc6;52W@S>U-H8S@!F;)Y=&>iH>lOHtj9Rd5!xZF*kXB`7OzF_m(ug8ZC7LVkE`9
zJ5s&XJ!#pQcx`#a|EGK+Nn@T${{8Wim6)cAf6I6NB}myRpQRqpP6+PuOO|$X(0|i8
z>7dij`lyYoo_Nl>p^=B?TJNc^ZhGm(``$X@kdJ2S;;Sv5`0A*fi8Z2FV%-|RwdXcp
zjS2MCd6ik8SMt_$L0+2Su!kNl;jWj^yDrvQ9|k&U{%{9fbn2(H@aOp}ojysn+wUc`
z*Bj|k=q2At_gvh&#>wZnSn0_+>FK`vaxK|CIW2c&+JP7eca4!|%WliPakr)R;oEYz
zWQ^2tzax19@5;t5_hj3z`|{w@Lz!_qR?Y;+NukNl_&b~zGVjeRak}|dM&14(ksm(E
zt5iHMf#<weJ)B5GYCG!gJ5IW|sf)HcLmg&t*WN8XG<v9~4jAO6Eo*!0*B{=RYY@7)
zFZ|+(kM_Rgqr1oWXkkwuZPL_Rn-BHU+WkD$r<{i-dE>@$u6p*hv)-xUq&rqP=;oMT
z(!D2hb>c75S`wtf)OVtzUdxHKFQk~`b9p-_4*wtXY{N%V`_TjOns{HP4!S3;_ul2X
z40pxT_b$&pxho|`-<7|!-IL*d_vLk=2l8mqLn&T7Rwe~Jk>shK%IUh#rR3fhJe&Kq
z{35?gw|$URlRnA5emr}<(+_ExE0Ov|IOw6IPTH=&v%b0Dq9y#@G*5ANJypd+vlRE#
z9UkOuo0rc0%UgGh@YW4$y|vLYZ>`$NTdz2I>o<O9vS_=fmOtyEB@er6`>D*&Wn8u0
zU1u%R-bvHnchDZS5^46KJb#>L+!w0;NvhZVAl(P>yPQ+6WLeo45}xo(JnzNH8<!{I
z)-6`%B!48Cogd27f)6C==KIpQ^L;r7Zu~qdFSY;if#mq~PzL0UmBtZ|WkFT$eP?>c
z_aMZJL&KLcY5i;2o$8&`UiU$+SN_EFX1~aSo&1eJk6+R_iGxZ<M;*P>NuRx=m(#iG
zKZV`2U}1NS3HH$7`yTpsxTo&>>8T~^dg<9=URrvjm!@svrDNT_wAv(3eH-VYi&J}O
z%G~aHEQ6c&{o<m%_Of<u>!ep59QDcUM0&mQPifqlXGzceEX6J+Nb}6^rS9T4vZll<
zo^|j-+WI_~J>{NCxxG(he22$Ur5=4f;*k`2^H5$bekipkK9qm=JQUybkEGp+NAgcZ
zti&I9EP-xu;xX!}^#AKQ&*LF>POtbr!8a1z`kjRC{~(h?KFNXQU*rkj$@PBYPYIuw
zNWWim(25>Tx;>Ax9<S`8{<U1Sc(|MT2D<C;D_mD~^U#@S+Ec<)BRJ=j>+h*v%{=v2
zkf$Eq>Y=kTcxd^a?pk80o3`HKs!1XkW0dp%!`NF!w~;*Y+LAHM%*^0`!^}(@W@hFM
zGcz+YGedPa8)jz5aT3RD%aS7LeQN*NbMAS+-234<l14M#_3Nsx?&*<c%z$Rzrgt(g
z)Ax$ST>Rvgzbf&Yk&SloNn(@hOJbxZIrK_gxZMBpOG>$aio5;~nf_0Rbf5N3mW~LP
zKAXSFUcaxhdT)@#%np(?TZ80FbdZFzrZ}ituv9JcP2xI*$cq!-<z?BQvg1oAehibl
zyCTGWGD>#8i;>6-Ho4H<E}Ks}B_gp~f{I(roK{wIZG@K@G~3&>S?FUrPV+VW$X^SK
z`Wv73{-*Zu1SWMz0yDQVYlOoRn&7DkO~8<Z##t_*x%wf2S=2Lu`F_ja1SRt~e&zj4
z4chEmZ6C9^xVK4^m@(<C#q4V0k%}Mr9n>g?+({EJ4R6Fs!6nQI#zsmh`f}GZza%I_
zsHEHbL-q~$E~mPO$hpOg)6u~aw<uWFcMF!>1A^r^^U@UAzsc?!w8`cWS+)DSlzjU`
zR#ga<-IsrfSKn}P6pxhksiS3gvRLk4Y?CA9?DD=7&sUq}lDdaHQu>?4T#c}ruMuA6
zNRYRwM!vqW-q$Q@=Vww_{EcIQzp3Q*H|bg=FnMOvM>ixejh7}c7kbeSnG%>nhy6{f
zeEz1xR6jHHimxdg>SO+9PPx$6+uV0r%`M6gT<4M7tcMKD;}mODyrj7w$Fpx^<mBxr
zu}4Qp+8W^!efpPtZ5t{(^Z%5N`F_am*5760*${ctG(=`+43SRhLgY9xKXq4#^eOvY
zj>dhLj-NS4i2unmZ+}Uy)nU>j6Mf`-q*NLcEye1S8;jZ`O?JC{%gFO1Gq~hiI*;_3
zZ86&>TFuA-UZ!{xZ&Nt8k9qpd#~fYjYlf8ZGr!LJnK}jh&0Ef^dZI1#roRck;%|y_
z-PpgYzbWYLZ%)qhGiBm^&DzGkCLb{};;gr6`^?LH`eHRzLM)~)^N!4yc`o-co|m=H
zF209tJf|^Maz;i=((+OAa7zUD+6b44?|(_xbD@&_%1^0a`yr`2{E*gR-=*2n@A7r~
zcUgV?yDUiiLzXW4A$cnPl;KH3rHlVBnVm08s^HsIw<Dx;-6+ZPK3dAni<LulZPG23
zU2I<+5^|CM39WRCqZIiwgVnr>v6_W9z08Y+*h)O!{pn*;a9$C>{BUqjKhyZQpIH;)
zX9l9LDg=G=GmDS<nde>o%rUNqjT`A}KD=QpFXm$&4e>T5w|W`5ZZ+*bTFj?!9!cQu
z{`WqW!L=NcU`V_?*c~S&Vq)Y%+h|$%DpKl?i;zrJ!nt==829r2B|}EiA7B5JMFW5G
zTlt@oF6~eLpYT)e@VVE^pYm{EDEIF9CDjs!@w|_4*-|1x;zvYEnMYBQuTG4#B`@Y<
z%s;_6XuIT)bHn*hMLxGwe(sSejKxLgTg`_iUZ$PDw;6QI+xRx|F-2aoF4EMOc@pc~
z=w4L9&-`qRZgN_WN`7WoGCx!8mao~_-`CuY^DzN~eaxE2-X>{2Z}Ygnmub7*YDzt}
zm~1f~sa4S}btdz_u<PheZI_P&ZL<AEtgLGjBl{wvr0K3me$x>lSx1CR%Ee()?9nf|
zUg4Kqx*IC%XNSs^0ihB&HdG38UOzSAFG;ZAm((p4CX-xYvL_^5CPzic<P1^rtxdFC
zI2a>$)5XcL#Ws1F#x4`LIpi$&)}3+FB^O(JB-0R!c~!(}rhm4Y1dF^(@1ox3#3gT&
zx0;Vhb;QS5llq!Nt$a=LxxS|3E?<-Ops(@S=xb_@_B9pC`<iXRK4$V{ACtq^$E5$8
zdDS~FGrp9U$u`Mq24A+A{m~v-)x|AKZt_330G@%q*)Cog;$_0-I9XIaR)W7r%d_KA
zQg2<P+}a!=qi=*u(iGtmG%-vfQiREk+rMP%o?kp~p4S(@WDW6Kb!`~W1q+uHLE-Yx
znF#5yFH(k{ijwiKqj`o{td#5$CzsCJBtZ_ltXSlbD^`A|Jc{#|Z*J~oZZWf7T1@(>
zRx>__mwA1{%M7dJZPuLhHg~vwb8s}eFZdXrFduU}v9I}>#@FOb=xY{+_?Rij@o9e_
zb1s>WNy2$ibT0h6%8T2UTTQt(R?~K`#SHxJk*s6fQrqH^&U0B)OXrZw2jZoAQ=6pp
zijy6;xOTZKS{iJOlC?)7CF|!1Sx_oMD(?#Ce*EF$6&=R&JHw>h-7u;4D@-N_giDf@
z;c_-(grvI|AtNV7N^o1+t8uhcZW|+kV`616{l)o}v9GvYmP~d0`+V(<#a;4ghFi)!
z^@!I(i|JI5^~{S_Goh}R3A^rPDwXv%p0(b_7V2%17xyvUyZD&u6Mam%IX))Y6d!Y^
zr;j;Z#>aGs^EQ)rc$@q+yv>q_oF_E*GRx_^i;G*0b*aT%d*P8$)Kj8}OHw{z{yxzm
zfyL~S{)bJfpNNy_#j%oWN{oz|9WC|tM9J!)NJ(BLQv6Ou$b`n6JNrgR(|6&L{&~1m
z3=ikNVzkAS2&owtA;0HD%KI|(S$CAYej6?K9>&Nf`iTjPlS!%LCBBATij8xK_bHwk
z8O{I0in--uPmeUMZ!ryDTg;6fR@UXMCQ*AY^XsaYS<E@bt-<*EptmXX*4w<Xdz(sr
zJ|-<=PM;s%X7Cknvt=%8vemrJ=nyZHd778`!aSqe62>Bbt0_LlVkU`4w#;?QjK(hc
zo}B+wK6S{~O?H_*JYM#-V9r+~PTJRsmB0=$l4owTq<I)6J4-}Kfy2y$>qp8ZYoz>o
z5h0E4M#!=E5ppzHq^#=@DU+^6N<h6RY4kNpO0SES^u1yvs%EULC><wTO50>v^>{ID
z?b3UULpH5*%J9ql?)<Y${;{&gmc(M*%PeL?Dtt1}YVO*&294%vN4-p8r<XBhyv?K@
z-sbicZ&Pj&>vHqG&Fit=rb26PlZkb@)L*<z)N(I#w5*pI^}uT8ceI*r<mM?IEhZUj
zwYBHCB}H$SysOS{ceC?6Rf|I&{D_yOA8eB8bDa3c#>%-&vC^znjBF>iYo&;miOZvS
zenONC`VlEjFGor?V*T2MNco2UBlAZ|vYAm5;Ea+~v{A*PG2;0eBQuZ2%8i9_vTUqP
zRxu8A7;2ZMV;yp1hLhhs@_&vkE}5~{EqM-jWNQn~A#Pht!g5wqcaznuby&@}hF+%h
zQZKXPwwIX_<7FzOB!6f3HlMS3^BW~^vpv$w3?cR>%=a>rSPyI&X*Isft>!`@tGRO4
zV#ZbH`pztmyq@ZozsI=bbbtO^*O}*UwswfKrCpMAikIfYY*J-KoTR)JD|eU|1@w;*
z!@1+-p3#!eFItXDl)PBMn#HszSu!t5p6-v5Ou@_<%SFrFZPBteSBy+P9V5rP#PWNl
zI7#>=PU@etNyd%wQev)M0wy?Q;|QKtJ&^xM_j1Xz_HGGi;E`z=ET+dSi<$b%VvaPj
zn&+I)MTA*RngA~|hBcs}<nFQiyiCAZFVp>;m+?8|Wdc`tnd*bQ%%<{QCe&^<QHQK%
zeLJg(aac^=6&5ojpT#uk?U7F8tDtEvk@@^rX9a7ATO6|Om|f&<yc~$M$+6rv3GEpt
z)lSDs$1JgObY+Z;%o8IUZ%0e;%xL+i9olL~OaA)NGMIJ<UllEWAEV`Ul^E%E49N2%
z9><FBggEI+Ebp@0<jw7P`LfL}^QJjuc5j{+--zFSmn5FkkUOK?lKGZL9Q5Ps<ka?F
zR&%li{$0yj{R^v^o6yT_M)zC%{gpVM-O0-w|I5ov=NfU@%wDG4FRMv?!fM71<+oG0
zt)}HY@)YCT(ZsC5*YfcEX15HU>ypyDxaY$ap6C9_A+>xRQXv4%J>$i(!zQ1j;-p5i
zI5~PLR+dzal>|>?B=N);X;v{tS|^W@9`<ON3Cnq3f^GN5$H-pt)1z{+Qs8*3^sd77
zg;#NMWU5VumWk)LIOMAfcDX*!A@@2mhvq)Q4}DzH_PI-{Zg)$QejX{BnstDI7PE{w
z$drU=z|S*gT21bgR@3P<=gZ8)!o0oAMSm}o$>L=)pflpW)%@mM`W$PYw*#4rhg;0I
ztrjDV_+8p(k2J{Tk+<#K;<dmfInVR|(eFI-nmKKyCJqUn!#NW^UX?LkMvt(`UvJ{%
zU<<CXzh+z>87ud4#!BVS%(YL&$kfd-a(Y9IR6G<Tm!HJQ^(3)8dootWoQjn?dE?~s
z_BgQz*d*N@o9rAKFVW1M17Fx>?h5)&E1uV#k^iZ@<G+lXTvDf_TaKjmi1Ug^vXr)%
zn^P=i>kW%}>%%#61*_TD$7)hB2b;UYYAzpVZgPhHdCY1S5c4VLSj`sl`d+l2bz98e
z%rOp*wU}asIrly65%IXCbUnAUneUR0clhslBL1(_fah^C4+zDc1N=tWOpBM`Z=BDx
zv&lSsbi8kzR7wyhzGq`a#>Yx%vsih7A2*j`E>WGl)-6`%E$5tovFBRhI7z!CP6~M2
z<kobXY)TO?W%h7gr@mcUN7`lVW{0e8&N+iG{}VpP|Lq33WNH>S&mecp)4m?bX0@0B
z^(<z_T#MOv)nZD<F(1icHTh~-&4Kn-bElux{58aCN(``?VV$g|LLIAllGkcB{kE7)
zcUaSB%w5mAMp|OI&LoeteMf%@bc^pCm#lrk{}8x`aEnnqOZKKi+GKOcqw#jx^eJ9C
zHIJ9McWpAZC1cc&I4Qa~P9D~blTdVf-p5LN&LeYPj+KVDV`Y0#tlUl!CxMOQq}<v#
z`5n!5;Epz~k=vwCi+CyWE?zc}n*$O%q{)7VG;GSVnt8^nYd!zFtL~B-UtBU~iks(F
zd1Nx<N8+>=a}1k(=2%Sk(-u?hgT>_ckZaRf%^tMfDQq=KnV*cxYBhO@`wpQNGx(;(
zJXmKj{(UUwcoB<9^vWYsIrklO-pw<v+_I5;HI4J&RF(Np6yxDiyF)T`a>(Etb}3QT
zE}xIY%h%HJGVz*CZg%AyDv?d{UX7DO^Wx-jH{!J(<5smesaltu)HzPl&!jER#YuHf
zoV09ilbZalB~j*hnYScf=5U^Hlxqwd@-Xh5c8D}_$}67HJZUQb?_iDg%VC%FuI?7g
zJ+~BU?vcTFJ#s3W<=^$EM-wfk&321fZY-uS^UgQH7BiY09`ciO+s}+S4=v``DYmnA
zvu6;Rt60p3gccLIiE%xLM~ba;OTDCSnLXYm>w@_oV>AA5a*hkad3nb7N{94L2s7+5
zz~3%cSo2v|C>}d(@_xKcoMmkiXSGR#*KtzM#7UOZadPK;oRogR_!Su^aXD<#y0cBD
z?Xk%Lw@tov!MAtfrCn9Kls#{kag`l%?V3aO<KHuHd0sE$VSO9_<>VUTs040##5`z}
zk4OB+c%;Thk4(tU^$2oyTXL8kU$5I_G0p=P6LH*PdO?T%7V~qx#nhZ>F?;drsG1g&
zE~CX{eC&}YeLS)*#x1x0cFUc3a@7czwEV$;b-HjLhi6XN-^eM?Za8FeZHFY`cLMiX
z*(LsayzH4BFK>&-%kVEY$-mtuD~8ylczqksRv{PVwaL2t#4YVmr<F~fOh)4=n*=fb
zB(E1Qi?_tfNH4pb7)Z>#xAQvyha`IJkmvN@tITDGwdS1VCHD<!>yk{*ToTP%?S)Hj
z2`uQ5fcc!)@SE@xjLTojTTFaQi`m`}A2LULH;Hq|$riJQyi{TU>*{SRW@jblQdul!
z{7>emD_G+$<&j1IxTO{2dyOEM9A#ZJaVY->XWTE#v#`Goc1n?Gd^_GD?-DrVpAF1~
zSbrJ)HeQO(i<i1J$l1Q}(&VX4YOqGIgX`(r=ds2)-zLk~Fh@CN6W0rybV(R5&uYiZ
z$px$j(r@RLvCE;=cG>E&OZ`C(ne@RSiCa14*j=8#UYq{`bM8N-luK^za>?DaT+5uy
zx$0-POsMP;+hUL0ed&>v<ep-A8E48_%<MWA6Wo}wrisOD#`pfjZv*=4rZg6_GRz~*
z_Ijjpd&VIzk4)O;78~cjK@XV6b#X}!^d=a?Jvul)b1mTc*qNMS$S1R^J0#sZyG)sE
z=U#ty*@xzoYvW}-@%bzuUWz4+m)IDabPTb{X!3Yqlud>tAPx$~OZwLFvKg(f8Q0RL
zV_wd6lxAE5o}AqwDQ7q&F4Q5Z+Bv1lP3OPQbxgaHJe|rV-V<H&g1mL9wp(^?b<4as
zG}mOFIol&;7^jv;c_dvD&MS!5D>;bgT=+Jd#gszlJRghs=RNBf`{?^zzc`iKBWIqt
zrN;y}&%L6boTn{YQa<sVkMsWURNNC}w^J@vc1o5P%=bo;N7Fl`D0b!~ue$Sdo*u$E
z<1yAkX2#3%9_VQp&$D0ARw-Tz<Igs2nLmvp2ADT)ydN)j64<3P*KRhgw9BPnyL_VW
zW?bixf&Ay^32S!Mt~zBC_nLdQnEzeJaIca!F4@g*7Kf#D%e~%ixqH$ri(PJMh@Tsb
z^ho$tG+g&cl@A^%j~^$a-#64FA767maM>es*0Ofc-y`!&cw~BnTdwbROTo5o+2F-m
z&K{TStM8H?A>1EhCifr8$$f7w@oaGBJ&`Vl>|_nX-O$0a!tGM!h+VGI|MHixi?<t%
zPvRxvamMHM{BD42LQUt#OZd`w>9LKzdLdq(e2A9}N$hg1nq6v6w97Br%%5@SMtg@e
zJM7>&%udPP!zttVJ<9{0#g%0u_aA!A{ZIm3Vivk2;*(3tlyJ+*ac<ds(Jf`|Zh2C~
zBcI!N<on+qnZ3*-qtU)-mq!e*IhK3m<v5R&YDa%B#u(&u%OY{hfJtt7$GCg`n@fJI
za7m{sE=m5C{{_zDJ_6i-{KjM2dn|b*hf@mN<=Q3vxL$xm_WrQ*e=)o48o^wlCNZAb
zE;)Y3%l5DI&zI!xr|}ZQt0y>~wu+Y-S?$uHHf=M?E^!>U?z>%T7j;M_uBDv5>X6TA
zobsVB>kPE-@wD7Gg#7XF3jY^QPap2<lE?UXum%6ta!b+aZuxW$AOCdAXXam}N_*r>
zLysJ$e-7#Dku;q=vcDPEDk^%UdsgNuHpaBuZdtaR-?g_PSCJ2#_gqqzvG*%;^<Rv?
z6&G^f5uPj8FUTncmpbKJRj15~BxmhnovACilz#Uq$S$MsbEfHbsnv=8$oMjgew{vx
zU9zVq7iHo+ARl9F1-ra#ZI}Jyh>4xF5%aa%$sMw|u|pa!aY!Tj%I%y^v5_0S(VHe2
z_vYwKOdsUD#fhKmy5!Vimn3=W;u+1vWMj8Ho{EnTGfq8oOLoSW4~g(^Mvq+JHz8Zm
zSd4a<Ve!bDuWp%n)y;qD+%kppgLfs}vL((X<4<x;bf`-v<#$QVx7_=L{<Dbl;QP_U
z@-C;`>)@2qsd>izJ@hVcNbP10DV5P7X+s#3FWP1MTDznrPW}6m$J*N^BjZ+wHg@UO
z%`ORufs6~t!w2kA@rhlga$dc@ltUZ?Sku_cIQPTB{rsKMXcS{TdawG^*3J2^Kl7~0
zU-+MYL6=k<NMGB}c~h`U;+SWyMsuFAZppX7E#=O-CBXx(2Qf$V4|0o}JYM^?TjKF)
zy<={fgkNI^xg~22w~S5UmbI_Q$;{6$u-=|Gi;LXE{e6~jKZAPw*Pa|5$h_myNT<v!
z;gnkVc>f89bmn|DrXG1UlSAG{*(K>CekXa7bvLdBbzEVWzZRiuv0dIW=G573m&LTn
z$k+JXg}?JTqy%H`ra2DjFX(pCKPouo&UmLBMDHpua#bDfXGEVWc8~vBCv{1}MlK2A
z`oqVIoI6Fhc#fi5wvn@E_Hj!x;yZk`TOxM4<p<ZG?!p@0_hwu7Y0N9gb20RT8XQxI
zV*@Tx)@*V@V@SdL`4Q(w=)KZ}`^zLDw(mH_Z$9=g_b8LnDL-C1WXcYQ%p_m`UEd-1
zbF=p2?T}>j>3PrXGUv8k@?5n`UueV}<qYvV^(S$_xn<$JjO7g+a*SiwZg<F<=UfX-
zN{*=Glp)i&hIE;A2Dek%F`o?{&;7~Ha^Im?-WPMpEY<-wt#Qfbn=bK-BG;sMOU1JI
zu(?|*^<vFyxLcBw&rZY3k#3pQ*Dc>#xusNP@*LyOO@~XKJaS2k9WJ>&+$Favle2tX
z@__TB?C72G7xx-U$GuQqJ0*0JQ(E?N@{B;IJY-It=(a-|Y;cG_b{`<NSCn)}QheRg
z-yy3Ub_tJ0ANbknw>}Oj&3flR@>6oO-XV^wEpv$1MKu3($n>mEDciy+xmXuHXgCLT
zI;A+zw)-}id!g*+9u6N^6HnukeDvcjqg~Q-n@eoBT@o6~T4o|Q&+a1kmSMcANz68M
z%RuI1XX?5oB|6s@aq~=ew<K}8Wd3W`Ug@_{oC6wSxe0BUm;CVhI&)|GZ=E*W^CUa>
z(qj(4|A<q%5pN~xIc0Zxr_`g*EhZL!u4A76w?le$a!Bqv=qk-zIKM+8a_~w{tCEMD
zRLmg{8E4nDa7f>Q4vC$|wUdJmekbgZK^_P9>UT<i#@?rk$rFsfH{zZDKC5C-5B__;
zn){H@{>y(eHWg<6$9Ozs3clUxk~BA5QvS0`Cfi-IlWU9PGPvb!cKn-@{)|80u}0Fu
z&n+v6g?IGXF&Fqv-#TJr6!VORE}5R)CHo_or(foNWaQ`k?HPYLFU&;F8q2s?7<(>s
zamt~RPMMIvDQj5&7{GOq7MmTid4@w)4|d3KbhmF#ztotee+M*j$cvT^nb+O%@3qG+
z<U0R74!Om7W<7kHCzVseD>@~Rv1r^Xr&PV+6i=M<-{;r-)sFS|x!iw-n2zNfW??Fq
z%&zE?;oTTVrn_Vcehx=N$YYljXD+;wzG=5{jgh#W!0Wbf{#!wNlpuy}=ZFi|0dH~+
zGLAXq$MP=elal!)<sPT}k*r}g?8rJp5$<8-a?0ZSPKn(@{v?M6HgxjbdZ%2(H=o`+
z<f38jg@&uk9sHJ%+%v`@2ZwTwf&QGsSeIh$aSiQJob#+K``C8XA+`_r-Qtv+lw)OG
zVcBq}B-qG$-7Tlwie)~>bL9p$<Gi1FN8-KQyYLD3fFbri<#aJ`b4g?Rau~K>#$V$(
zZ~VcvzV~-rQtk<D@eDn@mSBtxH7*G}=8_8J<Fe$t5&c;w!nbh+T;lY`-;71ujx!d}
zuJ<}I@8H>T_5JYi8^$7Hy5bzpU%H{Ul2giOcFMfp#4LW^M1THvlChNWIffW_pncF%
z=1#n>TkDWAI~aS8JLK7Qhm3m5I$#|0W#$;eOFN}c8`^V%Q>Jfs%5!pK2K2sQj<tpH
z!OibVCa=Q>hWpTbBi<6ZxF+XfE#4)md$Jb8`Rn&ZE}4lQ-+eA=c+@4ePM{x+H4gHd
zknJw%wvs+TJjfuIEN|(OQswBw8C+7x#&}0NE@zxyJ&XHdG3NK>S*IBo|0@JLr82p5
z;aaCG$Hzzia!O5X-9%qb;bu(w#$4%{L%QBzZQwll`-DSw9d$_1F^7~qgRhB!L-&b!
z{F*R^`9)&N$%h|nIVELJG|qC$<GoJ)Ys`EyhU*NOx!)M$zoQR+rf;1(O3Xdw{#oSe
z2dTNHR@^05>M@p(cl?LB<mF_S1kH0vvSsK+-=r1fB<3ht7<cxKbIB6?>Td0lV%1zc
z=glR-37NnAqz(V!K6d2957Wt2U6{vK;CB^inAb%(B@^drf!Oq7wo^LN-!c)`UAeY4
zDuYwjc{};P7W%%>e_uId+GG0g1J*_!63^tNJ@~X+2szH?;CH7^S(KgFEz5cpc{$Zk
zVujrB`!MV6kDU^X-bNXS--@iWV8g+w+%s%DdarWNkWZ{Lxw-cp{yC54z*=Z&<&q6O
zSXUj)ykr#P)mX-8=r__OADE{+>V}X1a>=>s%$1AsyPUKx*-PJ;_<?%|5;wQEa=t%>
zdyuJK#=&=)82`wbt6n&z!D**-Si{_&T>X{YWvfHpLbDHJ%8(?y(x<=Tzrta>lEX8S
zldkdpRjfm*(_h~+*3Qo6<e7}LT|K8<>*|ydlx16uR<0jaeCCv9#B(rn=<UQ-5ypso
zW5`*nSeHJ*Sp1N4bI#w~UaZNZ*{=vOU5PwPeBVdY{`Sl#@Odl9+`%OaiC<}eX2#lY
zXbs3r95Ciq3*&z6#7jbQRk97-V}(2sPdv}7$~{N2bFV)O_t*L46#G@DH0B(!0O!R|
z$uX-sIOPDEn-JTF@;D_rJvla+Q}%McQ{9K(ut8GZmqzE1bWYipi|?4HwX5lr$!(nS
zX%PDn%k9a9pU=}@UOFW)`8gpm6-e%=K+d{8h`9iBtpdBqTf)6lSo@eAj*aA-V0=|8
zuS?#RaLEF4cZC|X1Np2~9dc1k)-I|rb_FuOD9AY_TBjs(Nq+k6X5u6tvFtg*oQAf%
zH;(&9qIXzz=IcD8ail-@QTgeVP7j=N_XP2~9v{tcO83FUcY7z-%$yR!obY8aVwE+o
zT*T}4%=Al`g6|)r(^ZIl0`VtW$I$<8Fn=jLj`gY~wBa7so|$XBd_$X|cOmEA`keG6
z4Y)UDFV4j$)Ano0&-CM?x47TlJK7<FdrDeeT!$v#q9qXBN6BUFiSzscE=kXPq9i(J
z<>cIe^Q;<Z4RfI9JNI^b#=R10yY}S%L`%7sAu+Uw{2Wt*TwQ=1nUuC>9NzhgaRa+{
z(T^`LC$CP%R(w>j6YCO9xjujv?}|>jj=#&{#~#Fb9b)%Q8Tx4z*23y?d`n`wJ25hX
z@q8vRu#Ub#-}S!9wh!b#`p)Q-|GO8`=33l;3_Avn=3Y^YnBVT;9!JFB<a_kD5Bx?A
zKd)sj^4g!ggzm_6^xsUxHTu)=`Vs$UNsj-C;mT<3%G%8k#-P>sHpyw$owuQ#v3J@?
z?xEX}ZPeGTF!#Kpy=OYeFQ3V$<gG5J=&Re92QGF>p-K392>A*P<%m&TS3OSO%uyRH
zwTN3@2jc(Rw8ylzPMO$)_#j6er>!>O+d|u&lKV9MmU2f^ep|a!PNv{qjkNPy`cv*U
z+>?r!ent+xzJ~kJ9^m}=5_%tSAD{QX#r(iV^7b_s=QzapWVByS;F6`hI{57C<~zP`
zMn1m9{>>k9k0yLu{SagOdhScfSk!75^>yGp1-)sBtKR8}b^362V%qCDe#FQ2L&PO>
zgoO*8(i_{=U(w|4&*Y$l9rzCIrCZZKd0pGyDJ9wN=)-lmVd$CYlz#IWd+_b~{lxl3
z`o<%tocQXLv$Shj^hV}o{!WfA*qrtE-n2h`?AJop5w~#Obd;Qe&4cf==Jc9%pCD|+
zca@{KR~OnE+qnOB9N$NCue>nkX~FbU`asUd+~<h-a^+Lp2WcnYub>U5Qs!XtR6Fhy
zTAO>J2GFLNS?lm)4KIrM-g~FC!WZTo*B|!%uP=94gpO&PKmAQVL{HEF{Dk(<-sC7W
zj_J?*n;2+58r`(bkGbTiRZi)=1I@>sGW8ngnzZA$5c2kK+A=xz<R)HOb9mPf`@7KA
z!(j&Z09(mDx^{5?Qszaa(LD4HpUJgjh|@Hm8Na@g&zYN?L}MP>VG(g}eZ@U<@oSqK
z<fL<aK1dsGVw_#X{ir5#|Fr?^*OvPwqqj~;@_#nQq{OVl6Kk2ik+T>#{=QD%J;fYp
z4{^HzKQ5&o&mrcga9w0P^Wrh|U-UhI;<UpAe7a}4Q?}yQrYp(q<mA=|oigA&IsPB^
zf6aMkDDCKCE{ERsxwxNTY2vvq^E=vpW`FdJ=U!Fwm?NxZ9>hE$FPaZs<R0DVxIv#T
z#C++*bM6684$lm>XWZxN5xVbkK79?n=ehs(5$@?qdp%!;<~isbOFQ=E8bAGJ1$tkX
zqTQ%_Br#Ul!?{ct{TCmXc|iUpu8WYbSE70NCdOBEMBwXl_^%%0%yx44eYnZ{IrHfA
z^w+|x$<v$3;l#%Ilgyp3(61jlrPl{?Rk%~yP)Abg^3F-_q^+ZCVAEgttp|3Gpbrv%
zLl>iEJvkK3nThSmXYn__{`)%P)h+q~`Dhn>=6x@=Rp7f}?30y!+j2~m4cyO+G8Rtb
ze3x7m&<o$TB976UCy;ahJlv~04Q=d$9kEWy6O3()m0|eh(<R1CG|$EUk=yvZ9##>f
z<nP<~{33MZ{bsgJ<h$UloD-1WlMu(N>9-AUJH`JwIsXeen*I`NVGf1f@a(KR6zATf
z<g67<(A0@sP23ImoBQ6);+~mH$wAn?d?z}I&tJ#6=iV9aVS0h}^Gn16T;u&kbQU~G
z9y&}pXgyCH?^r>f=NuuBSk5t&bE58?gVCnN(OaktzRu4)Bm?J63CSbmlLEh-lI|mG
ziceUNzvYw}XkLe}T*T*<-Q*>7AHj#A8@XlxR^C5DXP#Z;GxC%B82O1fw$X355+^m@
zkf-P;Ut%c7i|g&^&46BgmTF8z@=OE#LA(XxheyMhFJR|nV)3tK+;0s(58lRnX%F*G
zbk9G+dh#*OF<>G73_paQ_i?Xr+T}1>4-m)G7LuFD_qmDXA_JMfbiwZ}$X&IFC-f#N
z$nQupQ-4zK`AhpxizfeIpWj=jEP2H5m(VPi>62&BiI!~S?w|NOJAS-GtgAoE9boJ|
zLOg2>qqWdg;{OhP;Th+<wB5R&%)M;P&xoP&DX}jb^%v$IedXz=br^TCClI^7^=E!R
zit%Fd|IXtY;O9DP*bgm>(0vJAEAeA8^cUpy`wqsNt;7Ja&>gM0iQ`Aa#|+x6HT|Pk
zU)Fv*a(>i|*hcTXvj4lca7<R_T-cG;m$8eyWuYGrCkBtd!fyIsV&bwXeewJS`Zv03
zqiYl~8;yS9^(CJJ&ywqi;U#DtN?&OEm^Bl8`#FeX>AM|?oe;`@N<D7st5pcQXzvX*
zxIZ{CeXkw;vM1N#2Xn53Z=OwI{(zr7ix_W+(TnJQjKBA8q>rM1DX-i4Jb~?b`F=n9
zWn=%P9G8*fA5zXk$_s4I_NLq)x+eJ$y+w*Jcg?|i5`DNYF+IXfUnBNP{lJHxobr*r
zyZ}F!#b1%+?c3xrT|2j<y(7fHB|e{E`#rvQp|v#ocjLGr__pqM*2SX8(Z88{`Ll+U
zinv3sJ|D4OX>w&%#zkT}v?bTHI&<H9d{TKBd5FH;2HU6NuRZh8i|<Y?Bc{<-ZY6z{
z*YwMoV=N(F7Lb2tGan=0U1ls#gm0G;D+9Z641Hx@W9H20tyvDA7bSn?B1fbr?uqF<
z-sCcT+$Mstmbfm7&8_is5BhVz`{XV3EWXLug0|$KW0&g&`H2{)at|M(b@mIVBzjLQ
zd}R%Rd{7{cxiq;sFYQ@6HT@I4-}AE;UXuJ$iTiL9(^H7KXZUz)cjiLaT5UM@#l%m?
zCK1c@$06uxG>`K-w7r2jke7Big->hFWDKHhCX6R;=nvKL?d;z8lJ=|HihkRWwGHB^
z7kc&iwq5ej&Y5VN6pW4dpesK99!s7ju0N2kM``|I3@u8o9YCCJBM-esTRLb5TWE(6
z;=bThKI7Lx@0hpHAFRYkr%2w@evhr_N<>VdcPM)O(Yq~xwX_P@N!!nA#5p>)we7??
zD{=UB0C9-s1!Kr*6NpXv^pa_u3(Vjc^x1iRKsy}5ryFRKZTR&rS_=&2zR&&eKkb&G
z139q;^Rou%uTGnxSD(%OJ1_kz3*#}i6i7@vdvVT4f7?y&ie;V<i{{hBc71f5#@C7Q
zUqf=yc=T<6L%cu8wq>+QEByNNGjSY(cG@ci?beo9&gw%OCm~OzVLpi7Ci%!Y)E!Nq
zT3(H@p&s)Ge7vA7_unUXrN=)ZXtogB&C&4yUk}57B_<ND=yUSw0|nSNi0|HxByP~!
zgJV|pqHM}2PFWWyGl;S;QAhW3%&n-iJ8d1FjsBmGeUmZP`4Rub-<5dABl=zln%%_q
zV|=E4@&mf_zh$k0eAEm|@;;nxQ~B-_`}m^u6UX%C*qM}3l(HI7<}Lcm^0bVV=sigr
zf21$D0?}ES&$a1Gjj^#MbAtA)rFNwcquGM}DTWY(`1&iF){iD0@cC@G!24{p#WB8{
z%sz|QH<V*`(r<6$+kUM$UuwcUye`|x6P3_AD1iD4U`q~;%}Aajf6gH8F4B+ty6BgT
zBki&KGX3x|xo0E3E=bOufDhN>^Vv|1_gB%GnD0`t&waE862}$jxA&doXkxi%0>;qf
z*g%_JM{hOs-YCMh(yZTAB!AGq4%X-TKmPcuHGaolf9#%uul^!FM-61GqF>I%hePrC
zQuxLDS?KIG2%GyeFGK5f;@HuNynt^X6U!^<Cmz}|7kX2n_cMBT7o@yg^xMqj&osm}
zeppODK7gIoh{g73PC#t8Vq9s6mMAne!-xIwc~$j0<X~G~#@W}jOF6WbCXTPtZ(ouN
zdJ)U*X~Uf<(376Nhu*h&@L^%*4kgLK<*|o&n^EU~_SM49X>F*Rv2z%HPSlfgpFYgF
z&>e=ZSNJg*`WN!rmd_*l60@|+F|-DgqZSY!NAPXeX85lGeY+OpaTUh8vRp$dL0c7~
zt#T9B*kQ$<ci82ZnB#nj6AQ6`k3OQg7vt1SwA4lSF?8KV`$DkrK0AH&8{7XP7CN9c
zjyTRle4MAv?)otoOhSK4h3y&0pY)y8=+%4JcA);9*m1Km>l@^)7WjA_F*xBbayXiw
z<7Zu8^g~NIbl*nTN&IMsRj`21A9~PE#KH-*)?)u=9QTDbOGr77=)3hPcPi!Ud}Ac_
zHKUya^3s2@GnNz6i^yBKld&d{koNOoJp#@3@v{&9YDA0{ME6#7oksg0xCZC=+=%U?
z`96UCMzDVwjvK`BNhv1*<u#++7wBDx-tOqFjoy63S1f&aYemivsxwB_Vf<}~uBNP6
zqInIr-@spkIx)tgJ0ZGap)UH}yk>@NY+udy7PJPje`9h$ZG8KZa#GQEtu=@v#=WxW
z-H6^;^lH95lY_A=GdUzJIRqb9#3!$a>v!JdNNlfyzYdbOcjCK3_`5pVLh)r`UR}_I
z?Tz`~p!Fm<Dm%x;`H_PXlOO53E9onHXwPrxt%Y8F=4ZCz^db82d1Cs073Ns@q6|J6
zPQPn{&6m-9f&N^%9rmE-C^5bsZ8o?LzHpB1A$-3At=G{yy*XORefNo#VYQjNRpZ>M
zBK4NxSq<o&SA?99pYw-Y)Ss0+h7XqEiz3*V9$P!3IWd09Z>4Pd<3H%>NQ{p}TN<bg
zVUUOIZ)ua1w9N%C#x-C3g>Q?I589<9C(@2XGts8RQ7QD6La#pOy<jO~om_H8eNg>>
z=We~R)r01;X!b>OH~M33^c-kQjz^mfUP2j2&9)J=Ne8q(LhD=NcqYDmhHqcceygi8
zhNE{Xdat3^hTZ}Nn1AF(4{aZaO`oyt9yVHu!?}q#PeJn;G!H??8uXOMf346ShCW|j
z*TP=5m7q<E;MbLC)ttPH_DV~;1<`k-)6oYr<3scYp!Xl@>{FC{iVb71<xvItG(P@G
z{H-LeBhVa$<`qrx6*|_TI~q;T(Ow;WrQiVX53#K>-*sf4l<eDsW7>198{f90tWlKN
znX<D}hw9a5jq7u;XJSKO4st^l+8ZBNNJGveu1Dja#c1}y{&(oej_&*D4nx~im;>H?
zj(|pdmzo%^#=dts<_O0IQATIVN=un;^d_T@3e=^~Tt7uyhXrs<AoKk4^eue6p&E77
zBA?)&XzcEf{nPN7j#X39)P-F1;16ASox!$Be7BH&Ca`bv2J~T$twI?;DXUXup6x~1
zXQ|^1dUvB&pRYS3FSh689E6yT%7{<XF-J{JEMRYc>`s8MtO@@&=gfen%4olfz8g@8
z_wi7KIJk<|GideWm|ggG3BJ9MmNADiPt%se(OWkU^GEb%K(DJfV`VAM1;{7aiM#3e
z<8XE6|JYjryXT>KI`NsKF}AC2e7F}*K}Xogw()%DV4tjL{mC)?Ym)=<?HXda4Q&`w
zj&n!!?m_R*qQr9{_Q{7`xp+^!oyHF%@JBD~T!p>54)X~6L(tp?ExFL$2wgAHcLUP#
z{+51bdoA`!z`og%GhawadH6P2dip8-WEgGv7QLFE<MR`%g*n$P&R9~Cwk6(1;fHnD
zw*Wh9V()1*e<rps)uaESWh9#F;=_yZ6c$1V+d}wmG41jht-)yBLcdK<o3)_r+R=uk
z(HmNtHbrlyV$3DcTb%lD(TB%kPd)6ahJF38^A7e7L~~0t&q>BOg_f^qN(-COJ{_(=
z2R=7SLagw8L9`}CYdPX$2W?iLw#!Ky=FWz_#Lx`%KBB%nh0#d;=dj}k_WZ`jA@sGK
z#9$F(aWtAIqPY^95257&x;LOJbpzI8!NL21FqiGE`2I0kec3+-tvhHly-wDH@}^Sm
zB+BnWJ>{rR???ZV`cGiTcI-KXUGK540x@`-xL%Itjc5)<^Gvi1ME4GKY3^11mBE0{
zzt8b~L9~8g{}&vWm^K?lImwCThm?Di^7m2Caq7ET2pfyCUjX$G(_8Uz8+`l)pH#s&
z-OyYY%|G#1J+yQ{cTRMzfy=N8vO;UN*W~+e?5F$p;kZT|@1mS3l=qHuGo!aUdfTG6
z4|>NGps(d+EX>7NKuq_*$Km*RAHG?OW?d5~g1=s&<sP~d!E&_qg9YFOy?$_p@2%{&
zfc;x>Tx*V>M>#*xJCt&DP4ppp*XJikptl-&6QTDSG2NR!_8ni;#V2El>oM3|1>5zS
zacZ<=#CI>DDcUAL7l`L`eQ3$|S<t$J{UbQe58wWzoSnpS1@s=HJyWB%7kZDNSJxaG
z=fk(T=}Y)P$EFe3*cw~=Ve?UJFGXxdqa_C4m4~ZnTLA|kF`o~^D!#vj);!uq_;xkE
zT}Q0kr2W$8AePbVPrI%~Z%OptErQ*}$>Z445+Cfrw%6Dggsp<+e%Sto*i4D$gy<0{
zjkcc94C49R8K(1nf3&7!-}z|0hi^aO+k3R%YTB_jdf(BmebD<Iz5NSv9*SNamx|{4
z-@55zY<z>QDbPF$&B?L<6Pm-(QweUPZ8hwIIGDw@R(#(TtvlE^D_U=G>;~Fx4efUd
zz2THy`Hx<GR&{su8f-|5-qxk)XV^9y8wX-*er!I0=HzHDjgIW-c>vYXHcItD4p_^!
z=Y0Q){dS?XD#z@ly)-X-QI?Z-d|eWo(A!n(qRv~?J%u)}g)JHJv0qMfW=9vAm;BLe
z(7X#B20iIuC)$R>SkN)2BHMIc@r8X7ptUnvKXL3r%IHj4O(?T1WsjzgZPcaD8rSFE
zSHgxK*zz|v{f%v%%Af;VFQPdB&7-h?4m$dvCpo$%!$~*_Bj7jNn?Qf|Y019HIA#OK
zdQnDg%IZ&<qbYkZb+n@{ecpUlV#|w|*6Uf}*yM#D0`SMgY|II=P#<<T!Ty@)=#TCj
zXle^N|Im)tn=pXyYOqfO_MO5pA33%UWu&02=jc5_*}JG?CwdQ{_Y|>pfj)eenAY)e
zIzFxyh;Oj7ANF3u?pS;kkA^#F8HlD=kP>}q;4|;X!zaE=3z^t2nq#(eY_YP$6=ele
zW)}2TMQ<x@Tl5Y=?<DlDB&N?1(^2THj(rES(^s)q^UYQ4zl9D5dOAV`+D^k!cn_7?
zb{`h8&jj{e$uZBeay(^RL~lpROhwtR(R&!Z3(z|dy$#Tt1HIp|XA5>!#~(MbQ|%pI
zj`%81zejT;v;;$Qbj^nqFc4DfXSP3MAJwXHe41l>&}I>o)dRhkY0HF^Ul+X-(R&2F
zU(uTrJNjYI75or@eR|%cv6vUlDX~3o7LG^DJv8-%LXaJ5!YW9|cUNF7`>kew&3kT+
z?@HUfrM$uDO-Y*y^^8GpN%a1t{*BmC3wz#RS7+?Ig`MfJw-$Cc#s1Rhi2S2l^KL%$
zm4ei8gU^j&AK!mq-(MW_l4G~iX3Z%lm^SQ1xld@*K<ZgceZlChO8uL#!ykJlV^<<H
zAHdFjXs(UTHL$%W8V;Z(E1W^sBp3qo;W5-=`+L~TelyvBA;+EIcpK%kpgg^1RfF>H
zQ%`s5)92SLrT$#lu@`%CVb@&j)9ZPuu(t?y=fi$C97RhNG;N3X5CJb?H57#neE*gG
z5<?1(v!V4W<&2@c^pv}s@(WYXZtBx#Gp(Wiboh89_LRWK&#`X_KIwt2&Hwm$0UF+;
zr4>Y>OXtKp;4H*Jd$xaprR>)Yt^Xd!@iQssD&?i2+)<SO8NF?&?*V%2QvW$(IxqH2
z$H$MbEirZ$#oj<P=fL)#umT;K&@>)S!5ugYQz18O<@?|4R|cAMTr-X@Lpi?ay+XM|
zC_g27_fuaD^uD70k?2j2EjO@B$EG&eSQT5VVRI)muR%jJT82VOc#bxK2jI=;4!RA7
zvtKdxPrz|5NK84!D6a?Q?nbYTI+{@5UiA7<e+TsL$Ce0e%7@+t*w_wR)#f7D{uAb-
zLw(l|cEANV0y<wT4(ItkKa6DG9UOO#<IhmeR>~WT-s+U?p`Me}*B8B+sQV#$7h+3G
zY$}Lt$^XQ47BuVJcM%$*&@vh_!3VV6gh$|l25dVGHQDbM9OIa!96KAmODXFBWj>?q
zgw#_Dz0;}lDs@}1qYQd`{PFQ}Y+Qn^W3ah4w%cJTIufI&H*A4(a2&K9YQkH-Zv!WF
ze~!xo<td{AWfekiQp)~HJ$fEGojRLRcQ$N@M(-nRx`1t`uu*f@7i`W9gRuWKI`q0z
z5_p2Pvv3)Lpa9$EK|=P^xp*6n$<6UTloJoXDKi=67ea4ijVJ2dK-~r#bWPfZW-n}W
z!*}fDp*1oUy9=V>G!#P56gUHq;XWLIfsh<lv5z;j;h2>idx<ihQPx|uKBw#()Nz=)
z^xW)k>h6jS`Wu?+*i;?OO|fqfc5cGvAZ)J=r_oUlV$h}I%r@8oSHTUf`0ggOVBc8K
zIqG=IXh&IfD6<-6*P@Q5)YX|f2UGV1Y?z5Hv#@C*w)MeAo!=+K=8Mn)`#(Vwv}}b}
z5c>yxzYR3@gV?7lT<4gy(3~<RP}W+?+)LR<sN)EA9iYzL)V&=Wc3{f^Y`TPPZ?Q2U
z=sEgY?6$xpH0ZqlDw-C+5KzC*g0tYqcLU)&Ol1GO9QzS8mS<7sK+5hw9nGn$A$8WJ
z?&{c37F+URQxa^`Yahq3a}f5X!|r`h03D0rJ)}Wf2`CL&A(U;~p$7cJzLjAE$Lg4_
z>!7VDZ!BdmqmEtFrSqKY)cp(_zGI6w<ioC3*tZlr-(hb>wHf<M!hN(%g+`#`bP-VB
z4~FBAoPDN30*=`RjVU7mWj%!LlslR7yHQtN>MTaxX|O@p(w<<?ZtNP0eMPYI6^zDi
z3-;@r@CD>Tlg_nAz*y)76~V!G+o3F+=9s)NjpH9uR!Y#h#z@LvPd%5YQ=dub4F$2I
z752=<uAA7W^Mn4_`$X-A*XWo4r9l0yefu4RL0UfRIJ*N9v#;j(lpK2y+E9-6-3PFi
z^7~OwW$M#s+XcgE?3j){YL^%G9fcOy8w5IEcnSe%84LU27CZp$;~Stmq=94XR|U>;
zTppN8IgcqbBebP_9q(^YpFY2?DD=dRE!gt~yL8<{WAF#|b^?vdk&qd5eBKFjVHzxk
zqwoz%@cknA4dXd3A!Y1<hLrakPE!6z>M2Wo`m8*m{%P1z6?<Y~8@AQP&Nrav5^tdv
z8rH)HNP(`RPzDM^5_rXS&FgyI<T3lVgGU@+2{uq(6y@sq_FU?@Pks8_z?Rg#4m*Od
zr!?r;6oH+cLFc`_zykZx(HF{rYESv+RX_KEy`WmVvhNen@$EB=r@X9`dlPg%S(y4h
z!D{MmfE{+&hD|lG?+x_D)(~iq?H3_ATAIOR(Ehm_Hp5J43z^^!`wav)$4vtV<@A9&
zlv@BMQ^ynP%L`+u`wn*GhN;*TjD0QP9=5iCAZ*vQ%+e5xo|~ZSGn-)-T!L?qlkW$D
z&RdFcoccB|<s5}Nl=~TGP)9-PdkABwI}3K`e=FK!Q#ee(Mh}d^=Fgz#Hw!`a*dZO-
zbpDwY{NWSZ_CZfb4hJ|!eXHl!dd_)>GBd&?>i9@~)nGGqTR>y_9yV2mlh{}Wu3&R}
zu)qm)jDh-47_xzC3<Mo_7Qh3@!M>B>2Xv*3kI<JgZ7`oYa#7a>XieQ=FaulCV$&AL
zjg5L9q4`?pf;T{QG=R~t9Jatlm=FD+9N5`UwYGpzj@Necf+>`#Ik6wSq^{a<l)AIS
z5^V8>DcGgw#TwVS{%9VI?fD@LJy&5jtb+}pdFdWFp)C7Mg%?ncV>K^lpe()SoSw2b
zLm}!q4YjEIA+*Dm_s|*JUV!GVLy#ETJA(dJ?G<>VD?1bg&Er|Y!*)FfS_dsbbKXvl
ztqKn*ORp`wrR?_bjJle@4eG86=dq<C2)60`;{&#8-&4&`v40tKgi??J68%BnmxfNT
z9CYre$Bcuwps{=g0w`P0_lr>1Aqb%EV^9KH4niJmTLCWUguTZ>W4js}M!`ln1M2ge
za1OS>-%tnq;UfF@gCwwva>|2VXKxBmsjCgVrf!|{1Yye{&~?1Up!2_bf9x*7YZN*z
z!y1?fLqPpL4zw*!!#BvyzWv}Vq@s)w@CNErwzg>ib?H1u&(BtYuJ7pi_z!4-eaAuV
zRn0r#6Qn|m{`N%UwJUUoHlS^x*Bm3*=QNCj{Ge;TqaYRRrCeRl(d+H)K+l6mfETR5
zo<eXP`}#l%xPsjip@!NIztHpquESN(yry~Bo9}ci>kYdg0%~yl2KWs+*U-FJj(SvY
zdg`79(a;Hdu7dh_GUyy68+Lbtb#NPgfgjq^KswNK0Xy4X!x7LvtN-n`aqJ$@wu__8
zl@I_osiz}EQui#-^{ms_(-PvaZxb{IAGn6?+MhN5RE9i|4pKvAC<cvSB&gO;kcZ=j
zfPsvZIT~I-Me5lKy5>I!9z$vDSq7n?<E8%I@+qXk{(7K(TMdUnV^;I;Inep>BG4GF
z0Ggw&aNKw(3a=<{3giYoC)3~fyQzCURDd_wGX-?M^#VH=Ks`tdFVLWK?0GO8dV=a#
ze~yMFpw|$z-=|^!=CBezg7)2+@E)|DHDH5Q)USOwDfaY&vycEgo5OOr4^}kj8bu@M
z2_rz~#rmqBb-RAA`#oU)mCzEBz-7uC1nEKNlRY6JX#UW7$8YS>-?Ov^{cY(rY@GoO
zArnNRMXv*$1J%C!&#Qjc?fQL2_Nxy%mTT_QoUi9a8zCI@x0Kqx`pn`6)V&2_pbj>z
zfOn7+Tf4w2xDKI^7(KcM6acy=RRZ!rGKk>&e_#XXHRi(bopQE88%O|pzR&~onat;@
zyDy}N+t@T2%0oQ%UWB>O5z2s$FFIbuqD}i~3|RP_7D_@Jm=32P9EwrSa5x9Pl>ZlO
z2i04Xx|hKRD1=SJ-~>d0+N@*LJU9$@;S+>GG^oZP&~fJkECtnC20R?E`9SBZl|g^Q
zu@5?f&MB`^_gK)m^jGZK0$o7oT%p)}9+tpBXa*Ib7!-seP!<|MPnZb@;Vq=(_=YeS
zG*_jd{I;O|SD(2ZNZpe`bBV@uGtjlf+u#Q6gRNmKXngMm)piz6!$DXN)1W(4f)t?R
zxvtR-0R4@uUQgKpogf|Dr|#KM13cJu8K#5UngM=b`xV#<vp~lf&EMTYH4X+n-&+mp
zR~>)+IIau~fF1A&a#DT|*aiB$aXl{_4ktikTE}9waVtCq)vP(Y7O1a>!9-AfI(Hfa
z>eFUW3RLSij?p|Y3v}GoYbiRnS_3-%riCZey$o7F8qjsTt)Sy^6-WaSXm|u?VK?YF
zqx$qbZyOv1Jtz1AKI~r@+Q4kkaW@(?e)@rqM>-Db{9XH$_Te{>8r$l@-=OE{4?tsE
zb?Cgm0@Mawudff)L3L&aU--(t0;@sikY&LO{-Nw8p!rdsA^(oLHOBftaj;|C4Ok5W
zp*Co2tIxDgzK17pA0EJSP@Qp*oPCNyGZ+i%+b7^hxjGgNhyCysbk5Nh)E13tCltlL
z4lomR9aXO<hJgAyIhr#4(U*<a44`?~!FONaCTKh97}OdHfQ>S*!D7(5azF@m>pXfq
z)PdCS1shMnLg)+iKy{=C)$RPFPc`a%A_3cUoGlIwK(9Y80xjb+q@+ykFQY)$WZy$-
z>aGV9;1Fou(tcbHy25nO9D5O-fNBbZm_LN`8U#;4$DW-q8+2@|3L48HlzA5BfS#k|
zh6w7u2=k#m=sBwP<L7V$)b63s8mfbir+Fbe==x?Z(D<zYjiDDzgY9q=bR5b=nRQ__
zXgt4!MATgo^qSIoxDDEmvtnlr=n0x*bv;Jc+%#72z$4K9eIKrYuD5Q7`7i{u-xdZR
z(0+0lra}wI1yR&}1(riEC=baY1Us*R#^fAO%^g8C)dcO^N)6E5)($lOr^6<=2p_<Q
zvh+NmHB5uUpnWJYb(e!)uoTY27trxi$EW(Bn#aQ;*Z>-@8s`UK4{U+upzWe_i<Y4M
zHa%$D-G^PEG1MG1XXv`lJ=g|1E;R!^FW2!h2z#|J?+2Y<PX!%M`#?9)_1qpX0LFmk
zr}c0g9zYoAI1~sSVFu{@M*Zte-9<t3<`mcscOe{-W3P@Sb)X{*h6ykW7QjN72O9HZ
zLGzRLS&ieoplznHtm{_WK=o?A()xTs+xsLe0-by4JSZ3Fdfqo|z7J<$7wB~-jdAt)
ztUs^%S-0!=y5Btr1}~1!0o9==%mLN=6r7;(rF~fE((2>mpldIYkOZ6afc9tgwd&D+
z-5dJ;dDYLly&kAvb3r1A_*0IKb<1HG==pCU@Pp6PeF@fsuEXoRK;t?qsOC^?e+k+j
zb*`lSdLQh8y>JLLH(h~8pmE`VR2-}0Py^7hXf9}e)_Bsqp*gDzXzu(Q*1~B}&7t6h
z?dc#NlmeYE)dcl>ZKwv?9-7y)fwoaR$9)3L`TJoJ41uOl43a`9b>9KCWdRI^=1>My
zvp>ZA(eZ*;^`C0j{;k{sjb9zRH6G$2F~{f}L)+~y7y=970Ne$wQ|s0kYXk#8^Qg{+
zbbkLFeu5j4p(8VBtZFVQ_6P0fxgjH{*5B-_^QotB5w?Stsbx0?)tel&tslX0SOw#t
zD`-wF0jfC(=x<IUAp|~y<|9Sl>o)yP_tAZ`K}o0wT9%fnWosQ;S2(EN!k{s&=Px?H
zTmy&UI=lq6U&m4JKblhUs$-3!?^UOMr~8D!3%CjgVHHe-9-ws;ffNu!-I_ymEluYh
zvqAl#aa|JvK>MM_r~2B1CY_hW{XyUBwgh~a8q}}aPI_z`7z8t66P$r35C#dUI}cQa
zcA)did9W2u!7WhD!JvKG0hT}dRHGHtr<#j@z&p4P>f3#=5+*@!Q2&;KjNqp3FK`=l
zyih+(2JLgLpa!U~@<0Yi4yw%uw0~<ZPY9Zeb*#+?nv-?@(hjtL%mB>~>R*lLV6aek
zCMXSRkB&{6OEq`x1ntY(51+wDP+x~bG^oZX_yyV?Z{Z<afn%@*7Qh(LbNvQT5>&6&
z`;GeV!zs{pTFot^pgS}N)vOwHjWHKw0oAVOk@~8ib$ekb1M1rr&;v%pJkWAag6a)|
z-;jp7HO^{+`gkx*1NF@=I0>rZ9%!FdU8-GklD?`>HHII6_JK377uLdT7ztfK^=i9j
z1wYXK^b)SXL0Aj3U?lW}R-k>cGN|t2pxRWwz7~VhPzltps#W{#5SRkXU>BT&2k;ei
zOiD@J`Joat2lcV~WDaOwR?X_K3!ro1e?VhaeW~dC+n{Z777l^-hh?DcHWWHReF%gc
zkQm~q`x9u}pMjmQ9Hzl=P|a<j38<cGpxP?@LEq~({jMo!9QT3|pk-)TTBeq*b$kTP
z8wsd83j~1rxHa^Jzd<!?&e;YB-~^ll&EN6|eXrZ}JKab3)nn$uIOq==H+4b%n-h|O
zwsi<RgR5{9w!jjY3hL*+&>31oGiV6)|Df+xXG`b++CJ*r@t}QU4eWula0lK&1b9<-
zIw$}YpdoYswR0@Yge9;JRLdSvUFt{8<NCTEG!8byYFG&B+fmR5+Cn`j3wc4ueJh0j
zu|w_AxZ4NoLC4K0FbW2OYEj+oL4B?{SYK6VSLg$(^>3H~+Gd)Y55RfQ^4~xxxIo)G
zI}``a)lHxy^aHhd3aGy{kExywpxU<ldDYLlUBB1;bbmcgkJoavJS|saC<mkf3ut?5
zoIL~snoBhX)i<hnI*bF2Q5|FYfokjh=e0ktnu|3S#)E2I1ey!9oMRyH0Nz6wxIy)5
z9?`s|K2~3}f^IMnMuUzk>g##12-N4QPha)3ZrAU1KiyxC)8n-qEw3UJg=~-<RBt48
ze}<=U12pzDcWndJyclMK#`gqJ|Bd;>SYB15j$<=n0jz+HpmD5icNy-&E70*E7Brqy
zg8EnWmWSHV4BA5v7y!dT<9h;3hN*v0Urq$=?;~Ll^aAy33($V6S~YfZL0U)vPU_b7
z)|{n!Z^1=SpQyb$maGPiO&wcif%;puE1Hv3r}kC#scKyhJKzwU0nH2Q+qdu?G)Jml
zjW6|YK?sCu&;VM3=2o>|H4g>VGzL_kqHUo5905Z>W4JqLTQvvOTM0@)UdRYZLHn<^
zx7wk(<PoTk&x7VJ)w~5XHZ|9(rum@y=KMk5t6#NER)Xr)*w8$n{?+!=c6<UK;3wEX
zHEWDzhWt<xDuddpe%5@`1$u+(R$c0E)vl=4VK5jp&*|J$+eu@&5!8Tkpz*9e*8G?V
zv@b<LFuVcn$Ex`PsJ;6^{iV4_b*rXju=Ef5Uj3@EuW`H`RIA2_w%awh4=>>hgn=D=
zs9W`B0`)<0C=Y6<`dR&?nmdEWx9aW->Pto6YYb?A)i`bqO+ovu#){@;)tVdBznU+!
zjpM2N7pN`T$29g-?<F_|hhZ<MX7#mdQXj7S!v<b8?p3G8gU0bm(DqWT_ux6GZ#9mh
z!3F-*of6c)I-geCG_KXhwV)xWX4Ro_s=iZycm0FD*KPWp?xXwaF?y_)p=D{ATDI1a
z3bYTae`DYWXg^jzsOFoXdG#!)pH+wYZ8vD%RsH{=pLM%_ulwo#dYm4w<!E_Yu9mO$
zsOI0`Oa0pJ=^+OcfB?`qtO~V3ecc2!4{5Bn0rk70?{%Agr~A~0nxJ~ifX0mWmF$oX
zl7bI7sas=OZP8r)8Xkj=nb+YmoCEc@YSF%Z<o`fF>vsKK_tX8=xBr0lj~DPBw9jZf
z$APx9A9br<wMEAajcd)<B|$Z--PJ*LYn-Zf^`WBgb(?;teV__d0QIZtEC?FQSs*QF
zJsMLM(Eg-)HJ1c|+NS<c%^HulL3LjN)uK5_<5l~oqVIK^ey98BzIu!vt7T|eTBeq*
zZ5j#j-~rXF?VbiS?s9_qL}O8PtDjVdYS(_L+SG>{xBsD^wOuqOG%sr&P~93Ug+bd<
zeXRXB6(k1rv-T@(`)~*W_4QkL4v*kJ?b^Suf&q<L)%hR#Sv9MFHI~)K_u&cr|8+;O
zO>?#S+L!v1fX@5WF11hXEClMWQlL3VwW}uer|Q!-Q1rcS`%ka7leSkeP+#W(jiC&n
znzb%%YxTE-`n6AM?ER<v9q-lNr=T&a+Et5=HL6S7;6L=U`d9mdYSp%S2HH<Pz<+*L
zz1qIom%XT0^NGft`dT%seHxSMZ}pSvRt=>=^{9T0dqv;tHvO&ys7`IGe2@#Wf@;<F
z)H)J^`dDL3^~QqQqcN`iPIHZF)*P<3Yn-ZX)uY;V4yEXO-KO8EPc=657(G_Y_zD`+
z8bjKq+LzS7-qfvnHMX_=(}VWC9H71_0IFGaXq>7h)&3v)S=&SVf$G#Y(&O}aE$9DL
z>o;uCu}b}-v8}eN2KBS*QQiNcpS3MCKdCQO<44frwH$4`|C`Qq*p>;@x7wH0X0=^o
zQuS&+Q%(P&pH-i>hx$_Y*W>hf%?H|U>eJ+q2(;g53~P?o*wS3`3v{ehUuYlxPpfLs
zm{z^2OEv$;e>$~2-oXE<RpUc_s{JDhv>uHi^{d9Q_9L}L<4k?4nl+x)FWQgQevNDG
z&#FoFt3GXm|Ip96{Xfkb!|L1rbgO?gPp1TpA&qC%ZUq;1Xq^3j?7ekV74P>wZeVu@
zieh3bib-u00}D_=3`9W?K?y~Wl7<^IH|TBwMMYFZ3@j7_>t%O$cl+D(jkP|1{(k@e
z-fKPUUgpj`bM`s=>~o%H#`o(B$N$AI*(=3J%00;kQrslXm2gRMmoQ5H_@6^MCjBOz
zBl%3?vlMH|kCHA(@&13~1Ib1yr=?g)evslO<)ef}@`r>=^2z@k(lO~b=^V*#5@#gL
zk}surx8;y<OMY&`p~E3zmtr8rUaB7weknc@Ctq_&K9KB|;wNE{d?DeH{P91BbWHk9
zI!E%E#2pE%#3M-~K5<AfmwYT~m!u(5+$H}v<&f%!6nhD`WUCY>3A<#!gkQoU`QU#J
z>6rA}|HUZzOXAM|7o3u9QamKAlD!gM$#x0z{~XdW>9_xjN%D`x6A72(GpPni*d#wn
zT$1ofzLhjf!YKJ$;+uq1ih-1S5?0Ax39n@P{~XdW={M;d>0Id==~`(HX)b9_X>REr
z(!Hd6O81s*kZh4`l5CS~lrT#6N;v=Lkd8^eN#{s0m(G{;R=QS-l{AmU329C#SEc!-
z*h%-2I3wLx(hbQ5DVCBw5~n2Fq<og_lwvE{EOAb<U#giB7Ae;M|DgZ=&;Rs{sweJp
zUp1*w&GAVOHncUKb=K0j@v;cxAp?qyZ??K>e6L><ll)_YOe$jLn>5@PWzsUd(By2t
zb0(`S>zOKJdYKNenrbRrvcYuVuN2e3mj_K}mA*24IH<i@&#^{kZ{wWIq8cj9YX59C
z%S*Uy_G4^A^LB^y&2<_~GdG#L-dv?jG+!G~VV=70j`{rNjWMUQKDLcC$52~mB(;l%
z!-rIK*s=p5jy34>_XaGNzlOuQU${1^p+#%A#ulqxn^@fUYi#kUo{q)+P4z7Nj(x|I
zKkqPN@G~6H-bLM#tEiWF4hJWkM7qUcd@tCC^>(|^e$F<;L={2zb1v4UWMIPDWZd)B
zVr78<!}>COiH(AKTp0B90x(wB8=qWOq5V%Mgxzq!vIg_eeElqRA3hapX{%AtM0{;+
zgq+tSkkV-gPAUdqr%fNkt=5C(&F-iv?1E>PI%3DF_E_cB7U$l#hT->CDAcw>=ku-L
zbEq{+*0sgXh8<uR-5D?2>SA|wZ*<-|5VKy5z@fwmsH>U+U1u9CQ!c}k{$7Y}9EM(v
zWbkp*BJF27EW-;iw_-cKTknNk^J;kH*Wl&L(<nM}4)=Oo#O+3xV3d3j=HJhw*1irO
zpPqv5l^Xn-bp-v_9YFHRy=Y@xj`K~oLAX(b<&}9zF3rS>{V8yL9*@3bRhYb4jvEtV
zApa1KMd?8}ld%q~pLw8tkPB4yOHm$d2d9^FQIInO2eKz)&~p<U3>=Rw3r8a{ayW|r
z3_{_l{`mJ&AD>q0A>T|FMxkBt*`PDlPw$AmPupWooA%grz8xILw#WVX9dOsA6aF^p
zioj#Ks1$mmFn9nC77as1zp<!lWDW!SnRwJ=Ax!4FqT-q#K2D89V0R@9O%gFbC=0qN
zMX0bYgT|>6i80kUAg@8k$)_<rxeje2&cmeb1=K7(4|`1=Vy>OWOvjV(vpEK<>xVF}
zV--5<@4?!RWw7|S1&(hEG38YbUj0tTB7<ZM@X_MG8v=T`$S{ap-TxpALg_~6-SvU@
z!qwQU>x}CImtbJX0$k9Y3uB!bXftjyChajntFZB~NF9yN4M$+<;lW6}JOB-+^u_58
zz0ty|CmO!(j-gGvVOd@md^*_~H_3~tm!0vgaaZhk-3@6wdZ5mwH)i(fkA;5+Bf7OA
z99<`3cc&=`7%&%O(iUT+n>!-?0$?yF3Rli6aXC2=IqS2qb!ZU`!*^hm;a-excnFIR
zAHxlcTC`t(2Dj(bVawe*+%c}hUF8`Z`&J9n;u_eUJc1E{2XW<oB_4Fzjf&wr(9L)Y
zo>>**x=RiQYSLkFB?(nyv?wVT@X=a^pKYVD?^77cKW#+%G+$hJv>NAXozdvq61-b$
zhkm21vD(xMr;?{2-P8;@V<w_?un~&7jKcZm!;tSV2<@8<z<0gAFwX0ZH)(osYTpyH
zJM_Tw5?y?Gq>Bp|dcY-I4{e+3V`V@;9C>Ph?QX;IkNKGS))+rJPDM|JHC%0%;LCD%
zv?}n&nT?U?CMdAwSv)+JWZ*<a0U91G#h%f-@!>%g&Lkd2h(Qhf!)x&*`81aJp24+#
zXAo9*3U|~e(LU)osu~_a%AW%;%CCe~o835OzXScnEf{#X5O&{lP+^*ZIjPA=ZyAsG
z=^_r!kmGEZ7_4p*fi9ziQJ1+Mt*zJKn3XGzh|6%lhXXo(wMD4zY=n!`aK+jJsV*jP
zJ3Ah$6=Sfja3tFH8uq_(NIPvHM(OlNTjRd?^<5twr|RSB2z{(Mu8%ey`XX{@f28*@
z!0RSMG40(*e0ez*<t<FHXxUVly_<{ChZe#5ge$VYu7gL{a2(2y!^%)K{g{HF&>Xx+
zF{UN%z!8fI%<gso&hPn8Rkt38X5vZ2XVzlj{aPI9R*Pw?PSD54kbL1V%0?c<;^F(y
z_Q`Ji@F+u<t6NcIScDQG58m%H(SJoM%%3OVaf}+Hp@ghk9JaTM!r#GRXj2yeOSuo4
zsa7NZwln6fUkVR<d#s4H!Rtn|(CW%m4EqKQ^)kUm^9ktZWrSb<Mj_+-aHy9Jg^TfE
zR3{r?L(o8EeH?(qW&`oBZXhb=3_@=D5Ui^i4%0h^xcg}w26i*Wl|_~qbBuoGJ=%6&
z0gKOT5OO;ZgY2RZpQ^yMuJM?&Ee&pi^EiJA9&|5*<IoDMb>ENnWz}$caTE`m*C4&~
z37qbB0^0`HVAslHNP2k~hi)9i1luYs@UFn!S>?F%dmAb>C5Y)(i16$jgb&St=gDMb
z`o&}HBo$WcDp1~)|BsYoB9Z+l6qj=Ru{qxx@7}m$Ww<jAE?bJ@a(npc*rLt(Ss46g
z8qO}Cj7=lW;IecQX1*DRQ%}ZV&TK<W7%~!XV~69h=P>MgJQSUO4aK7a!|-Js|I49)
zqcACP4B91;Pf8PfjGm14q7}B4+M@XJVoWl0#bB8an*0}nD;uKGWq}fQuJMS8Nkf7%
z7yV`x<9qUUoSd>7#zXgE?}&p~J@GKYERJHxjAKY~IEHqyN0CY&c;_6#>6-ocy`d7L
z&+W#xhh<n>TMDR)@nc#6YJX;<aA!KUtxHDO)OaX|t1xGT0?L`O2#$`#e+M^FLjut9
zwGU={dLZ3sCG@S9LBG@iEga_~am8GmJ79%z-cxZo%mR}?nd0KvNf0|sfaAHbXw}FF
zOAe1lljfsw=CvUl){ln8wlSzJ7>le`6A;tb1hooalg>0$1kQ%_m-(pPuoMZuT=6-;
z2i<Q4qh3T5#y^qcey|232c_U>O%{F*F2wH<ThV%383u&z!LsOm_*QxVs^^EGFrsFp
z9meVYhf(|L5VCX*!dPB~l%&0Iu-J|7`DL&?Paj+<#<=4J_*s;Lk@5@_`=(%vTLR42
zs^KqJLR%e&3DnKZ&~Oax7K}iDKQz$w!urPU@G*8qe)Uq^(JsW$ee>|qXfD3BoQVjF
zX;^h@GWy;z$HUpCNEu^{=BX2LJ#qpz{T&Y*`o*<w0s_WQLYb2Z7TB6&MYk#ZukTJr
zvh5r!x-uVivzFl0UKjLlvlgqS1Ykx^IJ7>oI2R`1%&vIcd6kNbjdQT*ej#4W+ln)$
zWw4LfjpvOjv9z)ZAJqpiPjwLQs}7=4{~)}s?#HvY`!G9VFZLJhMjyYOQ2*VA^9#0M
zihMKbmE_^Wfh_bspN8*GlMvTD9!E`8D2r8~@Odm;T%us{Ck&CRgRroNAEtHi!dhE*
z+@U^H?s3G-`wr;mv;h4l*dW7eHs&?8LVnX}h}tj(X$vi2R$&fVvKg!znW0fLGu$dQ
z!>V8AQ2eui-f>GP=FPy2y|ZEX%@$Q%9q^~86ZYz?!oV7D)~-ObpAmsEdtzblAfUKs
zJOZDlKsPZ9Et?e}UcUs<)!Wef<WB5kf6%6SFY{_2nif`}*M};simpPe&pwQ)-HYRy
zd+@CBF64G8L;S;1r~^vi_Ph{}O!M$0CJXVW(x7b3USdf+viGVmufGycimAtz(eV8f
zj*`tG7^d~dh$B8Q9_NXR-(0b-@d})BU5Z_-8ID62U}2gKay{mts&FQD&Y6MXYo=jC
z)2Uc(V2Ow;Q*fZGC4zrh!X<VZ+Mk$#GlyrPb(l4pw^)GBu8Uxq<b)f^ZfNA{g`6+`
z(58jqM|3nkmC8~0ONG)!iP*Ly4aRq~(dtwIR?aIy@rrG@d#?<CDtF=5gFVQbzZXZ^
zRbpAMO8CU>g<^39@=A8&PE<L4z5@$~Y{UMpTaa~iGbZ}xqwTkBH1NuR|HBl-E=<JW
zYZ|yZiwLN%z>nRrs2?5$^Ht#(dovipef_bb%m;N*o=7Qh!`2SYXm`~S?cOhfiK{)L
zOy<KZ$OfkU=i&lp<M_3iSpC)tGQkQn4_cv5%uJ-cpT&N8E=teXz-{IN=*t~&T;Yg9
z8y6hEu^Rt+`eJ5>Km^YZN2|xt$SRRzWV{Lo6$z*aN=40#EL^#j2aB#n82W4rszz_e
zgg0e)-((jwA-geo_8u4q?LoV?dvL7FZdB!z<4{!@+Hcs7@`qb-x=jh}T5QI<2YEP<
zm5qRz8HjtIg5HUVSZSt3!e<c!_bKpQ9fu{GqA@u(0tt51!CM<KK5spuwtJyc#{&&Z
zT(Kj21q|Of!Xjxg9%L_sXB#`@zMO}`akkL;V~wq_#*LQNXzFT>y7@LJxNnQyZ5JT;
zl|8&REJom-WeD8jf~@(gabSlxN_P1pe%>Zj9g4)QmT`!UR$@^X4Z^l3VxmzRQWLV^
zwI>gY!#CscqY^}%DMirW9SHwchM&XA@v*KP2X2+aW?4C+op)l$mmM(cvmFC}Y(<B-
z5-4wPhJM2WOlp#g=ASa5V9qBMB;!Xw0+MVs2p=m#e~<!J!{e}cMl|M!MBu;FO&H@B
zh!Bk*Mtt(d-Yic<rL02tCobqGTaGB1BbL5ej2^ok5c0wvGL0Ry<<x_D3-E2@0vsP^
zhXH=}SYqdZhSwJ3=r2dyJ-Gt4#%@S(@Wk5gzGxf}faY$SaLpqU+ZM&ba-9MJn^pM!
zFdh}1*b5ELKtanK=oIJU?2FCtK2ic-{Zf4Sw+-Fd@3rk;hWqSw>WwPHzTh43bJ&g+
z|COTc*DcigV(58n#@Z|S7}PBnR_0kaIxiiOi&G$TOvL9ETJ&72!tN*~u56K^@8cNU
z9UX-)8Q~Z+B@_jUjcC%z4?0i0VN`DoCV04`X0R*DCp)9@ekc4%bVSRWOK@Ac7}Iwz
z!fd-m_!zJVBl;{xwLSZ5Jx4eMJ0WGAGhQ}!!^yE8SX18{t5^6z-!=%_ABG`-{m$W^
zvDkNvwKrb{tvnt(-M9`mNJs7dEX20X!|Jw$*i&AFsV_><W$RW5A4{P)xD9h!ZAbT~
z+i;NU==#>B=<s<9K3SIFy>$^xdlzE!p*&0<n}ZN_CXQW6!+};Q7;Bb@3Eo<CqmRWW
zN}Mp1BUlrQ7LB42s*XUx*f31`9E1y1{<u-I4(+;oW7q*tye@M`-#@N6R_KBUJ62#%
z@8wATvkaeSE`wRSWw>d}@12~meA#lW9PJFh#Fcm*y9$*pJn^HKH?ohcN5fYe5gWe=
zIoBevn0>hOCK()b1Pn=4W8sJd)`Dc5?wyXT#jHsSbMd4}0hTy!hP6#GX5T2m)el>+
zHgzl3U)+kDnOjk%vlS0pZGr94Vw@OKglY2&aoI8--J0jZd`lMUhG#&Nor=7M$yl*G
z0da>k7~Wfj$E@*(8_40Uh=r9wG?v_sK+u*jWDgF(G1HBhn&gKMM!tyX<An+*Pb~Q2
zj<HYN03%nddFg_^&0NqW#TlMy&T#7Ff~l=m;$5^W)<>+uPwInv>$T9!@<G~8KMa}@
z2<@Cr)YS+)nj4KgmpFV%R-oXnh*3keXu2*D&k9m7cUL-^s<|#4mW#n*`IsJ3h<ZJX
zP~%XHoRK9Mlv{!&+e$Fsp#-nD6k}0I5o(ug#{0SgoM@DfVXbm;<aHKylx84xei{_7
zlJUtu5yk(scps~VvXh7tr3!@E$Y9YV7E>=qK~^4tE8D`5qzJ+N9~<Gibpu`%tV5qy
z-l&LJ3mb1wWLK`nbSHPb^;iYH`)-(g#0~Net59=u6{dGzjlGvWaJj`=;IKDLKdggG
zhCdb`<i5m!Ftp5zK&}=2%XP-iMhet45)t28gT5UTaIG0*{V)|1wHf%^A{*bP<RWx*
zKK7q4z_SjU;rn|tn#2`h!`>o92t`P5T?Cc+X6`8!;?Jdg+_uQW+3+0fOwPg(Wd{6Q
z(=dNn3R*r(#M0Dw$YyBZ@LR-y3MHNf$}xUU9M+DGLE5k=q?tvaw`UmqJwkBYBoHs>
z`9od49y1($k-V6F|Ms=myJQWF-954Gx(6EV@W8Kk9(X|gi#@akZEU=7*xm=1F0I3u
zBO74TI}n#&g`l!^IPC2r;c_w>vlho;R&xcy&j@IqsD=@Hi=&;AFuEcI{SDKxJ2VqF
zHQA_Jk&Eds^Khz90roU4#IiK@x7WB%IaUY{r$PkpDnP)|eB6xBgE%}F6{*?qznzKm
zf6}=gNkh%oWbC<_h%<ZQp)at0uT<fQg#eLS{;!7&V((bY8yAfcE|Iud5{}2s!w}se
z1O+yMsJ!ftak+ljxPKiE4fKV<OK<FH?2R$uUKqF33%@hHU^mqp%7s1{d({{153k3y
zPX1_obt88D3C6G~VYo6b0_6*$kdqPvpPzB~Nd5l(TYy%nMvHFouue%t&w44anVJUk
z<r&bKo`usNv(agBE?x!Y;k!*f5^m+=P}c(dYF>b0d-AbNHy?3~@0^jjIQKFe&H-5n
zx|ac;0qO9Xmx?8x$vCwk5%2utQL<hGKOYr>d<AHN6tGasaCKKK7Qcu_DYZNxF#<E%
zg`*Q|tL~9t==uc0*)0G)i#K5QI6s{4x*oHw*J11fU+g&N%eDVHd_1)dCvQ=&Y&YQY
z&;YFT2*jQiAsE*v3`=*0qeE;Y%p#)kATt&nF3ZqbPYLt&B37MK<8a@2jPgi?Iz1Wp
zx27U3J{=#dGSU7_7VKK*U`^Xx_@B!~(`k9o56nY1_dNJ_X8fabv37qBTn}WUmzV{s
zv6(2VN=HZiG<5b#L7y#2Sbi-5JAY}Bud6`-*R2DV30N#A#}3PILMIM=7sbHoSQK<8
zN8-Y*a9me~;n~qps0)K}`b;2VCTv8^M}I8*xdC(LZ-8&Z4G3ty0VN(AaL&LV9VQ3h
zWz|N!R0Uz%;Sen7ABGl*;kZ9E5}RH`;q-|ZT<6;8=Q%l!zfq!3ClxlDXmHvw9#6az
zk>Qbydec&o@hc76BQoG{H4_&<Fm@NS@!K~C=2wWH`!bjA<luO04uXDU<LTIJL{7<q
z;lNC^eVh)vF!s3hQ}KXvO{z&m^Y#h2V5h~oWHsvF5Yb;xz~0sDPmjp(bwC{AGGef_
ze>8p_i^Pe*2-Keyj!P55pj3t;<7qIWqJvQ78Hj-Fjo8_HBN}}Qz|O845gNY{B`$$D
zrwl?ZW1Dh66nRl$Sau{F%lk#*(UvHzvx&j$4si&4BSY481<cM1ICNTtF2^-!xH}&G
z;}bDyQ8KI>q~di{8m8SQKO1IZ_18?yE@uplvQZkEjSFHn+PP(8OS5dGZp=bJRVEf+
z$iVjMbhH(S*CZ8hFDK*t!X&N{6VP^CJU*xL9zRw1yhy~<!{pa61-=x>Fnw?w-c`pS
zU{y3`4v50`UlBO@G91}o!q7)A4CZG;k(3nz_ljU7bq+?!ksw^!7lh08f?0Qh@nBO3
zHdltCrgs>ETZY3(F9HMSN8;z!C{*`}!7KLtc8;tO-4$?tq{RDO+&7C>bG@oX?+yu&
z9ZBSVZ!+sn3ha8PAz(&2Of56u+m^8|&P2ObS-5MQg$v`!_Xb(WNzX)BlT6H=k%2QV
z>G-`g4P7RrV%5)N7;jF(CG$kgJ{OOzod4iOH3rUAVbM8(Yhoqd-j%~*gA6lt<Dk6|
zgP4?Pxcf!H$vqO@8zQhND;x_Rg&}<^_cz&BJi8r=IUb>Cf>4}Y7K(?p{2sCiBTd6F
zn&&+)4Tou31j<SxG4Vze<_(C!3n3OxEoDf|l;f$f5@t^X4ArRcVWI}bx3yU2odC1<
ziP&M6jDV~Zyf~VQFV$(V(xzkOxC~@$%YfeJ418#wi6<X35XQe>8E4>nemYh?Nkh9v
zY252bMb4XK%s7;UHNlB^HH3b=pvAj28e}(7<71A9&L#rd-cz7bCP%fI3_BXe;nlSm
z>^T&TAyrYBeU>r$8i5a!*q5_E)zjtPL}eHZ{lYMAUKl!Xxbk~^RTwJzgd=lXII0&#
zz;I9`3cEzXzF#!j&5l7IRV<c0i^Bk0IhLPMAYqPxmsdqhU#5oZLk(UoibwRZ1a$0@
zghSTJ=;WD#;VV;daC{p3<1_@XOh@7VbWD7j4)v3C6j7se-O|zKO&Yq-O~WvCDmLv(
z!Nvp0$lIO-m5_+bOA_$2S3K6=)F54@#%2o@wtN+kxLt{nYZT~Z#66y-GMs-I%l(rW
ze0~s(3BRIHJ2(mszL5z3F9H>FBQX7WI94#`I_tvm&ovw$0>fdlBOFb1A~1Mk1V*)v
zWG@(rl?hR}OMR|Y#Nb#d*RhY{Fms3;^&=E8Ag6t;MA+<7p;<Q#YBy+c=wv)5Hc7;>
zkx4KzPsa68Dez}b`|e0Z?btNvC#T^8*GqNx(@=Ig4f$dkY=@`eCiQ)9vs9E>rQo<v
zGP*@1;azAV1djwvoXI+%uSNQMHDV8_@H|$8c7cHL21=}Mpg_t~8QNTn!>=o`aDNg5
z%O){cY{F-4GV1K>NOUE~75^eIWoHB?ZHj>L>ImHTjesIG0xowWxVntQ>m!kfSr&yZ
z-J)UshU?XvF=%i%7Jt9QVPP*huG%T^GDV344+M-Gra}*YHQMjj;NWL1uJuZQ<@iL5
zoS1}eeVEU$lcArIf&%?i=)|RB`Dx;Ro{A9mXx95uVYD_CkLZ)N8&fcWTJ@+?GR7kb
zeH{{!>%{drdE;!QMW&$!(>kj$^1Fx@w*;=&l(@c4ft)-!8s^E+Ydibj+E_S#jzMq3
z7~G1CM%!0W&~xWr)4xb^B9d#uNGw_siGdvF{UZ^)BN9CtMq!~Z_lAE*;ZaUBS~<ob
z+%Oi4dT_nkO@@yH<d|rofX*r<?j{J(s}b@3vkLCLHAtSUMH21H=Ne%2f<)*TCSl~4
zB$#9*!=Qf()`%%+eJur=zbUBKh_&Zs3Wn`W!BmG7JbTQzGWYxMNJ7*{a=A|;PFW;i
zz=C*`Ez!bYi3XGH)F_^<!m}wN0!;-RrjGoD0!yvsc<#;~jQa__PQ+qv%UG1V#NgnC
zXdJhR#?R+bSd$zD9mgnyn(+JBD2$pBg|F1OvI9}*&@&ndNzqttz#4avxvP%Fj}>va
zH%*2pV>#xSDzMB-iL9lpOYA>pDY;jYqsFG~8Z;@_;z?0Ft|}97b!j4oc1=Raz9d{W
zOUBlcWPJRRj5hsJaBp-9w$lej)MKGM83UQ~)t8fCZIOhg>4`9YkbtFK67bF}9-&L=
zM_&!9!_`<XsL&@xL?1q@t=y$Vn^Ou*cq+&6R&t!Cex2JyJI}=;a(FEI<itRye++D?
zWo_0(L)S1G!&^t=a{XwmX%&tBqoVP}Ga4C(Iflew{I(c)P2qn0yI9O8UkXEHxV~79
zgsBQlo}@&#aRPM5i5NCs#qVn5jnqKRT&r%(oVyc`?s*CLWSfZaH;H)Um4vkGNe~7k
zqqRdau6ZS+IeUvCGn3J!9s3n(^0IkJczKC=Ynq6~DG7+--h&<Ws<(|6rhytX%T(jP
z{aiO*7qO1IRoGd8l6L63DKI@<j#D>enBPx^kl;8RcoYlI#j&X6Uc%e37+f34y#5l6
z!RMn<NBlX*qjB+mG?sRVL5n4P7F894^TT3c%YDu>bK`LNR~%06mC?s?WZEmxY@8Co
zJq1`c6`|q&RNy@oTAxs3S)m51KrQZD#H0FGJT4ORKchs1?MlSGZb@jkDhZ=9lhBee
zPuQP?K7~nGxgiPm)VOh%=^N)nJieEJ@iP<PN1l{^)#C3&EfP0qkg-(_liMn!Hdo=~
zcoB801mt9}-@B?n?=A|=SuV$n3f9anGNi@Cp@6;TV{I%}Gam;M_silKED4W6y|pnI
z<rRaT(J?r_BL-jI#=y!V7K2J+ai~um{%ngw&I}n0KFe@ts~i{CD)4lo5*J$u=*>Dj
z^^l01Bo)Fv)G%W`HmRq@*D5VquHw3)Q3B4Z6L7t0A{u)pV#>ZmTzE&mwn>5)Ygb;=
zBrJZE2-o67T;ks5vo8tI3r|4z-`wNn^@>{dls&a@Uai5bGBuy4lS?C2c)Lc#hf)E*
z-zss<NQrTg3LLyH$H#GUOs9TzrPkzT#-Y)uILx?Ae#XV(_3T*e?jMUGZDUc~Di#iU
zv9KV{aT{ZC_h>A(=*8idA`T(VWN=H8!FZG$o}6<Wd-t*_N*rw@U@X^(Ray}*98_4K
zr-ted*Nll8e7DeI>tiiu1jM60Z8uq)fMWKDW4du&Wu1uEK8aY*nseDN5kAEEaR7VL
zhY4`wp6TJf3D{Q}k7onp@gqsgwSxu^>@{%Orbe^BDpbr=VIp&Q8GZd|jDYoVO6+`~
zK!57!RK{byo*X|iWY95?Ve8>IJa>yjGO_qQiAAr2v1qe77O6SJ&l=n6Of0T*AM59&
zID8i3(Dgm{Fqg|<_&|nRYvkzCSb^Ea^d<Ych=u}ED+N695;1Y03QpvjzM#h3aT?TJ
z*C5SHi<>{RxXtHt{g{hhCd3iL=Q9Tr5Pd%ZbKfVR=rv=1B?0cGjHyoo?)6K+joNtF
za4k~yREr>IEoNS2eK*&jpg@hphHA`Prh;alh+iE<jPVw5iO=H~k5OW3wgO+<DX>qF
zqqc(_Qwn7mJ6Q(dZ5+DuIe^wX4vOhq2aM!ChCv*bG4=|pICNSchu!4x=dW=XJ6DFX
zJu<8wB*)|uIo^)uKJrNgPB|-4#P}ZCDnNg}h^yR_xXyh({b_3KeoXD6zI1G&g>9S`
zXMSt>en~vqSH)v*y#&k}n*i%Y3E1SBfd4qc7E{;8C!mhpe{eJ&Lww?Ku3bD@ZPsGy
z2rXVw_rnHg5YM&JUgC}N<R0IDB34eMcH{|AF|W=CD^dPIfjIVE;s-h2gvwFbS&o<c
zWN>Az`rKazFm|_V<6u-4hm6f}FfENk|0BfsBn~6G%24beL)#J=wl|U^XRRD}AIdRd
zxdM*Q6}YiMiLNaKc;yS|Wh%mfYqqKDs9DX`xR<WRXWExuqJeoIE!L{Exb;qpRn#zp
z81@guoqU(ic|MY_U*a+DMLgtZ`FBn{_OB#fJ_9;^Qj02AEyj?`vKS5b`ZTbKRip5q
z3d;2=gg#^4cMvhRPC)(10-O#gQAtgiTCKp?nF{3IlS3II=leTyL{hi=r^?{HQij*2
z<oN&@8tcmVzLAXkkuqe?k)b?Dh6&WV?SEu&w~-^gOpbY68-)l8JZj2!Tog+DYR?*&
zCE(&v>eYS`{xei4x~xLXV%EvqYCK+`!Lkz?h}`cpiRGH&iWVI^bImh79(kVp43Ec_
z*m&#;jYkVNzUPB@B(>uDvQCR#VOm%W(&EiY4IVGmVAX3iPOew;{RS1h161(&Dq`0<
z5y}q&tb7EF`m97?kP>rg+nIC)zKvDj^i4Si#L02pj5U<|p5HFW5V4i`v@&R8$n#hk
zG7_2NWirHEXRU21hrw()?xe_J{7w$HxeBbPRG`BkC8p#kvAKtUD;WZo_Tt(wPlRWG
z748>u@4Al~jnmY8Z$yKHbsBW}PlJgDTGaQ|B6WwB?<}xJH)J2deIXzHc;xEFV{+4Y
z?0Kd|Fm)Z_)MR7siN4j~EwxW;#Q1VgWtWp0X>V0%wNZt+^;O7?6M?oO+)@Qt^cV1b
zw-UKCl$iEdfhW;ixAHl5$^$tpxu)yvEJyZeIhM4MW5-t+?!S<sJBKH0&dC;X{2ngH
zp{3+;GS9tD%^R%1$8ZITse_5rmB`$qgleFG0ht0?a}V{IAi}D#ig~0$+xL7{>Zpd(
zNi`lCXwWu7gZmd5qb{t=>>V~Uc4qlnIPBBn>`^UJs<n7bKm3c=VzH+diV2MEZ`PkZ
z<i<)3>Tz$hbO(FMnQC-=q(WzZ73-S{k*Olg28$SRfO%ytpxtvNdhnTrg3l>u)G1&X
ztUz1pP1;8}*6o*LpeV;s4>=xijVHI1!*()j*DN`loaFG?B*$3l)2uskjOKd}b5|(v
ze5V3Kn<+8Ejce}HO4yF(`*+y_>|2T06fDB|m59oPDvUp-Lf#-Xj>y&Uc|z?PuYqHv
z2B)|mVn7@Z80%230k%02mxmTctF<U#&v@Qai!Ob&`13`BUey|m-o*ZtS|9XGjc|<`
zoyV#%`6}^JCvsb<@MANvnv0lsQ^1-H0zx_o2&z=V#)-XsEAB}gQNS`p0lB#X4lNZJ
z$5<y;^WB~zIrP%x*pnnj9%FxNyBsE`<&crXEA`lqb3ODZiI}<0zCT=vYWncsJtgwY
z1f)<OYnq5?uvSFB%Od`;w{%KZVIcQl#?4nFvRI8aU)A_FNy9ae1~uC>aA&Q0@m+(@
zt+iOvU5gI7S`2Te#Y6fc;;sgv6&fs$*5KSserHY?A0<!L@mWW2HPp3?>lzh?w^c#C
zQ$&%i2(Qlq?k2M?axY-@GsZSiiFxFpRedEM99CdIpUbZ%2G3y%3~8mHKjqMWF2|8a
z)Ny`hf1{SS;lA%k1^O=L`P3-OTCRDUE3u1pw@)tlOnsO%OF+XSz8}_5#Lwj-njIF=
zyr&8;$+z_LDs=6uhPw~f>HF09^;3;4V>D>(szIj6{Q=@GI;KJXc@55z>myHV@S{=#
zuPhBdv6j`FtHD5Bo_}ABHCbvjw^yT*+P|Pmh2yR&yeHmctigj<h-lqH#DYD<yj(zd
zI{__gl$ac%#BJ*JroRfDr0vFO3fOT^IdDGr{7e*RM{F;cqw&KPXfa6vBWuQTjRHsG
z6$m0P62B@CWyqSlUWu91{w+-fyj>{3h&`RAzKE6!MQqtFVy%t}i^=JYCCss}DkPYx
zaWz7X8`WyO`NH==`f2dhN`nUO8q5wQX1NBxxxa23r{TM6>?u}gU^tnaCsxBZYV6;u
zhJLUb-6pBw{6&RRTUF@Ee#3}(UssFJWv`R2N8REc;@xlolemWI_MSPnO$h@pCGy8|
zFGPnN=RV_xU5sI(0u#d&SnjJpx~Bp^*&7FMRG_(10sqYkgwr<{SjT_pbA7N-iIWLR
z7+qDOJ+(P~rGR>T|Ie+Sh<9^ElxOqV&s!0e#wu9FGQZBLu&F)s&PI)<%;mBJYJ@%~
zw_9qkZ;%EXO_`tM>`caTIzPLbQI7{}(5a0EuV1P0^oW|zde!h?eH%$G$J}S0WU6q<
zj_(k)R$;|)5jQr92p%D#-BSS$tc~sX4#yj=o06}y$IMdVyt@(`8E1obN=$#N!01aH
z2Nl?~Ljltg1tPX6Fq3|W=5x`ex2WeoxHjNEyN2uCe(Yhoam{&?J^In%>@&FcZ^(Yq
zh<F#y5OIoqbonh2rhQe&T%|%o#$x*muFuKqMh<GMjZ-6Yry6>f)kt`!Mnyvn7PQsC
zzLN%3?b$yyC4axEvHGqWzYnSZ*YioQHSAA~x$bJLhUr-ql0@zU&rxAR3l-L!6#2Z2
z`yK3e`u!BJXD@ZjU%;0M0$%@9;`u2h{J0O(!BdGbmP(lPQzD9bJNJtM|2-pzS!?1r
z>exShCV#KDP{MMc5+9lSvEE9gWhzm|UKNcwx48iKPyuC!*uN5Q2ktrS<lfTr(;~jK
zWbSewB2lhF)o~T>P`g$PB{vrm%O*7%=BP2ON{#$FHQ(t_<Lo`+A;!N~)HugAWfS`3
zQ-T_AeaT_gpgKJ@cD|t|S5o`KsLz%vJZhrCj8h^$%h*$LAMG@Acq;d6OSJ4S8DpWZ
zfRP{A6CG8;HI=!{JUqbn*cKWq@xefe{kn`>M<teX*mhSUdw>#yCh&QzjS_u{wLW?L
zlX;u<QVDNz`H2nj$^|T`5zw`Ph__}UhKGvidw@ChLxjs1zOO?awO~)3a7BfE?0bg|
zQzMAnHt|-YmrRZO>^p6!-*(&8c)pE$U`5<><um7fF|4(WYumYM*bY(SP6IUtvko0(
zFVokTTE%B92OE;x^lhDrJ>>${eq9lZ9twOfocpz`O_$kYKIzE*{slQr%pvTL^dpsM
z>Y?O%ObKBowQPzK4wIGW&3M*QhmE)<Fy6?VC)VEVFBaca;$1^({wM*nR|sg6L{6U-
z@R<5sZ7ibI1`&gHP_x+EPSoQX)mDX%Q7Y`=9%lJn@~@E^8wXOerl`?%iJI>;sNoRE
zybj~v+^b0mQp1YAuwSOe&*^Fe(mx|w(MQi!sH<j<#H--xqQVhF6$bs|+K71l5?K2k
zMLaeTVZ^%h_ppGIDgo`O)r*Yy$+blOb0s`#Sw~CBan>q**3%S!CA=8NeQT9`CZ|Lx
zd(qKyC0>%l8GIJo<TB&`g}>_xFt!x%jy>ywTmdgGanG(XdkwBt`gn<`$!A}CO@ux7
zAbK$lo7}l4pTPG*4lp(kRA^bB7<=$}n<0Bn;{MAR3fzY)V!g4R$NZk5M)^cFjt)?x
zRckdKuvbfAZA;vu!qf;AdfTgzJxGNqKSd;v&z-prwsjS8ehhO;M?~&r0pB*0(?J4m
z*>W#p7&V6Lnjf!;<q~W2LFO-U8!+CVncF9m*cX%Ua@N?T+m-lJ%{ogxzDbSOwqfsR
zNUZh(&W3Rw)}o>t0=9Bbr;__CmhK`>vd7y+J2rh6QNVsW*II>N0V<egsZjqg_nz*M
z-``X?(~?~7$v7IQQ96P?7{$CE&K&QrMow2X?oyw25bHwncrf#JQ<4h%`FwPS6>B@+
zeHi#fgljF=p=lyMd5SP*J`HWpPwMo;{d{g5FQ9adfNU!P#|H~o+giYL#>@AC5*8P^
zc4v*YIYiyvuf#3-Ao;iwkEl(#?4ve+Vt&&{+3c5frU^)JXYCcK4HW|H?hDvNt=PhS
zI|momVU38%2StQEr+&0oL2n{8mGyEmV{<H*d3TVQna^LS+xvg8_b12Cx8V9w;w?XY
zb*NR}`3#i5oA5k;p5G&ncq3WgmaFi_M1`YWILA8?$4`j3oFPKyE5dHNh;6LH^}Y(&
zPu-ecBA{6e*D|b`skFHj<NSyHW>EtHCdBiceOS$XC7#_;VgWI>c%sA))*YQcN;G0z
z&-CM7q^W@Iiv)}bBu=i2b~9I=)1NV|Md%T)v6Bc7>gCvSzF&5eT2hZX#TZ9SSD}XW
zX+Vq$^K(>aw3jhIrGm~4^8Aqs2VPRwsK0Tq$lWI@$Zn|+QpX;AzX~HZtKcedKZCJt
zFi(Z{%-!B?R8YMnmso#CWr-N)Pi|Q=mj;RGMNaR#C*U*J5W{HW{t)t!x!it+09W?=
z{q)&mx94;FCbYXAHJA7%|5c(Lb*Y9ioz_)=pMiir#?;|?0=keR*JJ{k(0|sa1<ZdV
zU}rlK|M(u+l_j)+^>9_Oh&gp4+I*lL9k>@Un!T<KW6FIApJ)}T(^M!d<ugw9hS4=D
zn6a+5XO8|N#s>7mB=Y{)F2<4CzFMu~J7p?tbyDHt6xO!^<Va)oS5HKQ9~DubJx<pk
z>ZHAhq|qV{bA8z89rxlH<7s6AUXj<|Hwq}HzS_^>zZYSTJz@mwDdTslr-0z@#KUo2
zkNaQ)_-u+=+|!)<Vyr(Eu6)kUnyX2nHnU%i{!c*0Cjq}YlEaK|`$Zxehlu?5HX<$@
z5%J(5pY=3g+<L3v#h&Z?0u^o%^NlcaS;Kmj&3%dz>R6cyhQznIoO=b^Rd~pl{+G_*
z7}qvjU+#CKkEjEV<5+ifsndT&+`C8a9%c^lUY4OEdM_0*g*Bo@4-sd7Q>*R@h&#&t
z(_(6>N<d$7vWXip+6jnftYf*>IXqs#Txz%phm79`^H?kX)|uz%6Kj3?DV%xhx><lH
zxomZte)}Q7rYrFg?^XJ^Spai5MMU&o5#9Ox(C?E73-Zr!kP3gyxprbN*xQ}Y*ch`9
zjP)KB^ORb&F;xW@jt2bh#A8YP?I?Aw70)f=H7B4#@nG_#9rvEOw~@+xv7=5{6YtG1
z5i?eBe`hl5{{Rt&&A9hK-sv(PF;(PqKKV<`h2*yVTJFb?-=i0@=VT09Gv+z71<c|4
zxeak%b`<ztGxvD|h+8gjPnZ4jF20L)hI;i_K-xcIX06W~PhQ!PPuydfO3kw4+98wm
z@ho|l^pAZeHRkp(6|T~5_j$y&Ld88Xa@e173nfp(=>uxo>`ly7`r?H*xxZ3{S@w+k
zRPG-zC-Pa-_p`5>M6FtNg?l+wB0e&IpE8H`vL=;Vv9BD#-j;kz{>i<Fhpb1m)2M>a
zs)>22mU$h?yd;)q#2v`}`Ufro`g2TUJmEn-UdQ9~OAN6#OcQWoD>+<Ee_WwnzvgEn
z5gmJpD48JQ=zR9=-t2W0)Q!#L8TsaOL&Os1@iE%z)`R<bBbc*htf8}+gAOVf5cdjd
z*<}xEF}Xf#wF*m!vvMh8PQO%3SjpqS0o=psz&Xg}zwBogToAFH9GXkKp;01ZB4RT&
zYdCr4q{n*Ln7(EnN8e<9Izf!gKf6NqBFU^(N&&UREfCima`rv(rvwVP&s;qa&2!0x
z8^n5-xlnH(*C6!SJ?4iY`<c4t#MDQ`t%=mCc_QAh7B-IIy=cex3aO_RvHmf0i#=v=
zOTJUpQw3|rIi7V&W~o9a_Wph5GuDh_+(PCzxtndvdNY$)Ef{ZN-N{_&(4DosDYcJv
zx7`Ewt7oXkyE%6z;~Gs~@p;1o_LcUgB329(VNMMl&OCN`PW!JiW;J}@g>n8yon4$Q
z;9nATOig|Z)NJBk!OxZ&o=bnM=kLw7a4(YQJMy}VjP0XmJm(iVPCcyY&$>XZ&?Vl<
z^s{R?@iB)p$mtQR8HcZn==7TS|FCwnCO;YH9>fqpj%H8dJ67cQA8Kze#_}FNC-d)x
zJU)uQKQ~YzgXjD3I?Z3M@857ggSne{g7si0d7U9bLH`DkSAL5`?3u!SQgZrBckbgg
zp?-hidg+k>ANF0@jB|dKfK2LkF=KZ<kG&$X-DQp*&SDI6xzAa|8oizTuVlU-6Y${z
z-($GP9DXlgLIe7+lZdvgdqpPfv23YVt3)gf;k)fx*5o4M+|PH37~`(@xrh0leJ*p^
zr4`pt-ME+8hc%WOWHnNS)5O-@i0dD&GX{;KmJi``lYZnh_1Lj3bAaoEj*RVC>Ot4b
zB3@DdAJLyi=_0zta^20I!_QHKBXhWNENgII_M41xP(Avcw(2vN4H>5or&xcfwJ(Xs
zmO6A~hX8ZpyTswQlX}jWo;bid%ea=G7jX0z<NAX7{GBzdDQhhKID`AoBh5sJ#5>HD
ze&5LYE09+?<axP>7{++y6_L-A$n%fXPGVlwochCj)FB>!)~k1YsbT$@$HZtsKkOy%
zExHgl<N85|dChznLXPadL;uo$YYvL|v6Wht$~Y45j`i#-m-Cs!ToDuK``jVycWB#7
z=377VI`1v(6ET0gCZGjz+&W3zN6G0!<o7|wo8wNkfKQC+UHU}0NS`qGZ#|(uJ_`8y
zk9E2=eW}NLlRqcT=}+R#cOic_@OT_+V;XatHeFzhr!(KS-(c-{Dx#Q}zx^iuMk;J$
zPQPT0vFk+cc4lqm2<XUXjf`mxePYMBTKyz9-qHR?)cmX5kE~^k_i>c4Z)M(u5-)hq
zpS<^V=2Q#TrNf5g6=Uq&kv26Z?|w2LiTNCB%1YMJ1jgEvT>W*Hb(MOwgkxkK<IQ6_
zS6Q=p&QfBX{*L;_Yg;!FQOLQ5an2CVz1o7DB3>6~>NR~`9L49A2_lXZh<LqA#I&RA
zvCs3^EyjhI3&`zj-+3)#9mV+FqkhLWBUX;x{0<%)!rvlz&LW<BhSz-LwQo7cL(cVS
zH+{I7wLV#dJMqf>$y+y`XHN~8&ODpITprAxq$k&nZK-QIBHtxuuR(4XQNu<t*0{qp
z@(t?Mb=Dq^2!2l|&Z!T`ZR%4eVr@?z+c0k{TCt}gUpxnLE+cB@6!sVNt;-7b@jm1^
zHLJT?#QrQ1wWa)CB|<pC{o0EnX5JRDn0eTd+Ozx<`vYPM{6)?CBVs<sV}5_eW3Hb?
zc)#VE?-@1fF8Onrb^a8&bCB9sCL%VUT9rti6R#?Oc--mN#q{qi5noMNpGS$f)Q`E|
zmFLsmPQ>g;jeYS+!09){!n~|w3>z}$mDIG?{7fg#gRhAB1M4@j&S3thHY0aBu=e#5
zv5|Q)e?0kSNj$`x#T=^jqLze^;|k_6^UIcT*j~<O0f(4x<YM$C?pHHbQy+>jc}@;8
zFPk%lXFt#{AGt@v?@q+I@+EVXe(@#NEb@439oL%2MEqAto!-X1I_g71a;Pqb{@cjo
z9^`@}{bNHP(EkTni{H?`+r6o$ow=4FX7ff|*Ziek6U#f|KFWB1B+nx`{20#~;`F4Z
zJCVa$VtwC)cC_Wax-lN~o%IM2T_!QE)9AnX?A3|4-CC}_gBT<F-JSMqpj~gaa=lhT
zUma#GVT@#qv*UHzODyih9YtKTo{2cbapNiD_?SJ*1NJK9f*Y~glE;Q8d5k_Y+|BDt
zn6p{bUoC4c@qQ=Xur=)AdH)Nv<2E^MZ$kbU(mn&;Q;#*O6a7!k+0#VCBy#lK9|5<C
zt2ucdLi}U-X~_6{&>z?NyGK)EYQtWMzH(%2&vTxiobMRtZ83ws=Y3M0m`9%66As`z
zB~c=D)Xed8o?FQH?GVv)A9MW(?Wtw{5kuBx{zlvv81J+@T;~vf2tQN!cQ}uOzdt?4
zeu?Mz=5==~c`oN^x0&k_&ijt@*G7~3fz)F9c^&mbe<A%nn|`t&uJPo>a9-1&cJ`!w
zwB42Qn%IK-F~mJshq_8^yXx~8KVLPZ<}_v<psrUEYc+kew+C~Bu^lvwHE%3?J9F~Y
ziuGp!wUc<A$t&Lt^ldo(t>pYkv^z&c9AnbEoVr8IFAnqbgoxi~=riJeaEW?GY&KW8
z?%?Od|JWm55K(oOI2c#`qtyES<jF4DPp%xzBOg-9D;3}UC*JME+ufTvy^{A_OpaKy
z22ABW8H>U(#6Fa|K$}N0&P%(J7tF_G;@RJl8c1woI8+>e>4#u)pniMapT7B`%eeF*
z2M4i-q8=QZAmW?_HE0&OX2*VtcpX=ZP_L&(hmv=3><6^W8OGuU_2oKk?Ms`Bh}ou^
zwjCF7hj>a(bDxjc4C<)c{0yQWx}TywHLTT)>xcuKzk;=X2mN2fx|Gd4ryuVL?5CpW
zBjWAq!?l7N_l1{I7v_`4Gs$V%)_Ed1WypDk@ZOB`R&ui~aV+h^c{=i1Vr#`QnZuuc
zC}d1e(kGW0*J^#*GLXJwZ1s)kGh=FlC2gKfjUwK@#2e|(eP~}1<AbRm(IQ5Rya#RD
zlEt2rJbYft{eg1kekD0h9Bzzt7wXVeV$UJIbsX0GZhVw>(<e*z(*|N4u#^1VLLU_{
zzcZMJ3FMHHIUh+oi1#(|zFS2Np$*enm(I^&Z_OAtF{5qNu0@Pb2r(}iz&vBjA{gtt
z#NDeq*Erp%k<#Gz={=Y)^vN!s(~nr~htdv1_RY+V+nmd58htlcL>ccflJ~mEdj|5}
z?P)_q1n((l-O$oUsjQtj?0<^LQDS~d`=yx48EZY_zH*R0ImG<uDCPIt#5tP3?c2jT
zz;i=+&2{=KnRA@wT+*B`IQK8!<2vt^<SSzKYUb_=`qP12v1PAe#d<KA`C`oHA7iOk
z#Jq|2uQFgg?9aR;rfa>~6A<5Lj+6ZE&0{b6F^)WE7|(q)lC_1`j^-TOET~O0_&f6@
za^e5Z-^s*l!dw~>z&f~zoQ@^u8RPOqaw3DhP9A+t%#CS(y)r(3A-^k#$$2m91!F#o
zBbMJk^H>Uh3*tGOd2YXA)-mS9+)VN$nLWCievnbGBd96FtGABldN9_`?D>{(zj6Wd
zk}*zYJUl@jOcIezyL%dvyTe8FV61l%Q<H)Jd!L{&<GzzapT}$m69YMXb0p_AV&5=<
zIn3D3vt&$Wk|Xq`9eo<*#2W9$dwDVMH?Xe_Vces5KLs^X!~TbM&Z50jh`Erla^6DC
z+s12{m+Kir`*LF7xW(_Ah|_&LIlh(i5o;Incuh8Wp2mG5ayg7X>=MUwsEab<l@o86
zC$C#cjE>}zJ<qqHw$MI-c1|`Y?}*ua9Q*6h^dYg>5qBkHcwq?d!(qVhuEc3Kf<4?Q
z`iofG5o@RkdCb^eq3?2;yT|5H+ZXYZc!P=8Vl6e!kGd2@-KYPT(XQFF?{+*jIfZ^E
z=6$)0Z6W(yVsRzz-^BHhaqL3;>HPHK-^nG^yCV9Rah;jNzK#5tPoE9alJ`pX6fyh^
z<8Q=!i+Go<A=g}qop#KpJqxK@MRTZ)<e>8u<~U>YjhI#Ac`dQXi2FNnwdOcS{NwmJ
z-H<xX<MYV{3t~M&9-lC0e?*^+W`2Y*cl8#~CeGh-IcpyA2JpT+d4FlG^dC8$7EQfX
zFs^F$Qi;^?RIcTSIf@u26U%Di{=|6SBDUVdFKO^${@t6$pOOpRc-~QBeMw(sFt(3X
z)CoCrjq_gQ{0)h>%X->DKO3y#-pUHD%gE_pcGMjkVw*+1o6f%{v*)Dk9T+e7iOdb+
zK0{m&h&`S|`jq~j&EwKDlg2zxdS~JauX{U<eBnG(IiCmTJ-3+tCEhl~d(M-3;!A%8
z(Do4KTO{$tG3EkmvxXcX=8nWXk{D{UI3MxY5Z44^mvdNhtmfapdAuGu9L)3ldHzpc
z*M_k@!g+c!cSkZ;niB6W`W3``n0U?I$xmm-ft+@9pzj&u+l)!lOlk;ip2#?l2YU)r
z4r6kR@m@e|zb7z${QSW&i^mQ4dn~a!Pv-nniIuU9C0D-KvfeOPGM12|#QT|iG9_M_
z4>f!PV?j<|52ODWi>8dp5RrW;G0&#$6Bw`3H1eBxS`qgrj=99wo5PLY2ap5H(-}8n
zbxz{>@vQ5N?S674B$oIisGXtgk%-rxc&B<X=T<W&E9o;Q@`o|_!C361jeBWpXJWoa
z%sQ4_qghbHh{w*1JTWDwIYx0@=cv!)CG^P|Vs#?c<;;f~#x~NLy#@Vue<AH#O5Uwt
zeI?$L9<<AwHu=%UK-R)g>S!eAri~+L>n>uxPRvOOBAyUOHF5VM?gqr>%3;N^oqs11
zX9NBw#Wj*x3z!eCjO``H_M^n*aB4F7^E-ex5pM<YHsihBXv1y#egkbXcc32@P~&WP
zZ(<%m%wgpAWa98+taXWL0<m8pzK0xZ`Q4YtUh%gpJZCVmKH@dsdF^ugtt0){coA!r
zBYF3K@VfAxk9cnf+OUtdd<$l5Y1@7BZ#{V}#ix{*O^MlqIEE3=CgOIa7S(bb;F!cQ
zmB;SWC#`wT6=I#lYo_zsMw}yvbL}Q?syKHl@3EBklJ-ZB^4>viJkOaqw2U>EG0w0j
zujVt)iFp|9-Z_)LB#wKGbpkO}Fy7NSW^z<><nh=C{#ML$j`G}zyrwCy?Z-KyIaeRf
z`JQ;65bqaPt}A%YiNw2b9eL=_ekq84*~A(YL4HNE<}p4e6!bUkHztl}#65(V8WG!i
zjtv|wImYqWPyV)$=h*Yy-@IlHuU!yBE|D(<obw;&HX>f@^{k7;>&#s8UPTRd;d6g-
zdMIOjh%uHkE~)d#3v2d~v_FUZtWPY*iRl&Ny^+I<qmDz%WBZw}mON(&&voN9pBdZJ
z<cY-P;mqBw^yO^&v>APSg*jBTmc5}bF>N64m|t_ryKKf|FYQ#*UVYl_Li=sW&!@!F
zgP1;WI1`@_hc3qo{yjrQjpsQ!O7e}@tc#`IGPbA4mu%+AbmBcnpH3v+B=7&dCp_Jq
z+O(2>p#N_%4yBAoIqm#RdjpAirVV?7x#Zw%a)g*35ce7m2aZCHxjbga-ztdJ)0+Gy
z)?@SOcg9w#yCdnt74+p^;vGP|g~U6Uc(?jcYy5Z*`oDs9)zZEa+G$ODD~S1W9M6@r
zzaf^H#MGU*MUKrJD>#nw*eU)NsNi~oSYHzBZt}yJK9kdTh4f)kAlKx?t4q8`iFd^s
z<`?f@L7oNEp5?S_4ecwYo!yC9iqRor{!Pqr#NtNW>2qi|M>CEo9M?FidHg4Tk0MqF
zVqH&uoa6P&>AU{)VTa}9H90hcc*A(VL%i=#-hVLdm`ZyrX;&}Wca|KSLSBaxb1*TF
zBIYz=*-hLb#PyLwT1VdD=X{O;9-qzMuMle|p5KAjU8c_*IZq{X_a(XWn;iPOj&b7s
zYIxtRyuY-cl|y@~X;%Ys&x;&vP0UXjqu<25fEd0K%R}Ps!BIqPlKz%)4Cmj!I6BcU
zQa#fr*5<@IoY%*4o;IBC5a(5LeqY|ljrVireI0p!YuYhVvWGEFXN<cr#x9Ia5HZ`)
z_V<j}RAQM&+?|L^&asn2#?g_(mdB^@_b)upiRTNFuXw!$=ef%HEQvRf^Pl5=zVm*%
zYgwZ_$ir3S5;^^soL<Kmw_!}KGd7o*%gtzeFfoiI?m@(}nz*F8dWPdQhduvp$>UA=
z`*faHOCLq?I)7fDL9V<e-sPP4Gx25-uRZa0A>M0V)D2(OcR%uoF*aq41;%72Z7rb9
zPPF|2x!IRk`Z9KRIc$kd+GAb8@t1$k=UB<#jfhoxzTAtkwP0+G$d$jGuYi6WM!Y%1
ztK&mEi1!fj_Hm~lT-le<rlX97j5cnhttqtm6>Z-@%qGM!g?N<2)s^D~G5+IN#P2^i
zZt%D7JZB!yf6CaFGPb$&+adZ-^5Y`<^DOa7>$0n!?6-*bA#IR)flAu+m$vm~O!R5%
zM`G3z^KaTel$d)F&wm_KiOruw!q|=@n8%9wdor=k;<-{jbmz5`=r<$cZOu8){6FQ}
zXOL9YzJ_rS1SBdFRf0N55CMq;h)NWYq=1fqNEi^w86-*`L}4Un$s@y%v*avF5)90c
zGbl)wjQ4r&nXc-hP|xvH-7ojUucmwV-fR8ewbl;ZXeZ{7ys7BxOY#<=?``C5K`qZU
zp)YDXPK`IHwJ4cqkhuc&XCp^Ja`z!q8XP3wITYdbdJN*T!R)h<ee;ub2gi<L-1;+q
zBe*uKq3yf$QHi{h>GK+Wm#2my)UuA64s>D6KIU8{b5k<^O5LxKxjs3{ljjN=n+-!z
z5nI{z7}BxNFJv9cF^M>~I&E~Ot)8^moVLr-M{4@oOP?d@yDl~4Wlg7Mj*~LS&ouhi
z_tgbt4yEpkWR4}rP4ZO3VX}RNxj2s|Y|Fss_mP>b;T&_2V|y@euhZ7^w3&^z^V5g(
z+krkO(DypdsaV$Z3Fi1`=6FF@p4Ge24)r#t?%CA8oE*+|D4C*g7zZ&81rWh!G3?|0
zr!mLe<=ED=v6i+j(dJ|1O+(&f<h@0oXX!i6HAXGRs3`&S5Zah?t0DVRZ!~rL?A4YW
z<H>!4OoQ<js-qvyV=$kEvCq5g+mB;nncG^lahbex$lH^)8_`EC`l?2sZ#uu^ElS?Z
z<UL1SQ<;xfn3tv9=(`8cyVPHZ9Er#?4XMfY2C5(nzGhnvG+>`r>|2dvl9G2KZ9GBV
z=H!i`?Su4jpT0744!z8^qYCG68`kufthZz2EkS+rsIv_9-u{5vssA`RGNC7#(!%T6
z9^6K4-XFzyKKHvvB*$!Pz_~~p;~Berv>8j@(d2DF-h$*!O5Qm7pUJp~GyZAG8%=$=
zs563kx03lVweRY|`9PKz$utT+Z^vRW>f?Z)p$7X^W&aS4i=&NpjNNavS)06b$a{^v
zMd+^sc^8xSHhHU1&phhNL48Z9vk~>?Cv$dcFGhwg_5YQ-8@XOXLDa-FWZ|>T7|DJ^
z*nbws9piY%E{66BGnPAOza4qAl6M#V_N4z8$h(<(-lndd)K`EyyHf8|GDlH+1R2VZ
zWgm+7<lc_H2**>H#r9+<%YI?(|0c&}<@g^NyAHH>m$B?b`^U-q2K{|SzbWXy19hCD
zo~G1woBC!@XEQQarsgWt-i{2b$&wG-$u$%`F$O-DRb=}ijAg$r?B9jsMsxfg+IfyK
z989|j7*qfIg4Fakk$!X2|3d00Ks{5bD*^RYrq1qUj-=*+)Lw@S$;mPjH&Bpl<&X~-
zdGC1KVV_Fq#QvXfTx*UmLp%2w!zkK)o%VOpPc8cUiGJUs|6|nAj(Sp)c{TO*B6AqE
z`rO-q+DDM#ELnU8OMoq8TZqlLkNRvofg$Wyi~UP+Tp5mUNIRox?=X3b(EeEZNko6`
z==TU~x)OExY?*+%Do|fnGLNLz(bU|7+RKvR99ofQCz6pb3sS+~9(y4H8nDk4_TR{H
z+c|zY?F^&6+O(UJyesIZ9(nK4ulI+ttm%u?6Gh(E)b<877NOQxsJTA1Pa?w|vUI~U
zI7T+VWBiO{yswA7_=x?ovHuku<=E4-k&yOYqTOb+Kaae3>8mRJdOy5C4TZ_umYOD0
z+bU|@M6FAxc?h*vAj1imXElCDYV!Fz%}=}@gp7z_AMa^t;rEatw2_mxlF{Y?+MiC|
z#`Kk)J`a+20yQ+GmY3t__%3<xQEPgXr|wAVze$!}cpm4-wg>x>koRw52}-ix5lrTo
z&Kw&~JDwvSlXpCAZ=sKy^p&5yP3e0)HGD%Y7pUn`YD-0piKz7?=2G|j)PEVx$g=@=
zke+;LaE{kLLzTvQ_6b32j+w%-t7&Ho?X6`TqiK5xeKeu3lJxmFeV?U<t<(}jO_Qn3
zYxN>(jiu&{Xhr>p$ng=<B9?4xu@NT`!nVG+i%9l;m17cd{6Ty}TbpTfCv6|4kK6Q>
zi9U<bx93y~YVmjYUexBZP#Cr5q2|*VLj4)YF$f2dj%@ky5`2Ez%eHPvf{)qv2ad^v
zinP&`w!Bt#q3t&G(SW|H(Pv5e&chsMrH;(hla0CxQQy1N`8oCeOzojqNRG0&M5Yy(
z7|+*k^Ropg%D($BkYlURMhI;sr_Fn~Mf<MjMD&@0zSB}eI%-KnO$n&&Bvw*q59-ZJ
z-CI$K9IkIOl|miVMQNnMIz9_SEc=$lIF3C?8>vx{_A1kMSbW}a`fN(y&B@!II{Hx0
zIO<wMjhCpk5C&8CRqF466j(*3{`e5#=#Cg%$Gd#K2lY870mm*yH`=O7n=jJ#lk}00
zzWi^K&(Loy{rm6W3#expbv35G+|+pl{ir(~^+)2mS;*uZj>dQlfH|MUGCzmw_*rz~
z_?5JEkv5;gE3_X*KW*u6ApK6F{}t2{OHGfUDD`!r&TZ723lph71RKfXd084E$cBQb
zhe^1OM(lS2T{!L;+Sr3HXzzX6El3}!=<7Uo(C-}jA4DDRQ_qXkWqnc9>379*XiM!U
zQI0G_u@Oh$TK@_2(H_~bg8fQi0mnUw4{2vU?VYFX?5IXRUFmNs{eDaTzf(&tc-@*o
zeOIZo23Avdacn0;OPKpIxqiS79Kata&h|m@cl`S7e-h4ZR@&Ny!L;kMTzdLCj)nBw
zoBk_P$K%wq8w04%`|&QkPtC5&N@SRhU+@gMila0N!{@StY#)vy*vkGDu$<$cLOa@9
zOS_3shJJd|-*WoBO#k`NhI*D$S2BcCqt8TT;5Ek#Nw9%Dk?4Tt=!B8jhE#m+^>_~|
zbKE|BL_5i8Zz-D5{<HLR7?bF?F8ybuj$P<YO}VIV8|qN&5qSSxg~!QK6Rz<oh>rj3
zd$&J<HSFi_fL;R{VlVB4VkGUJqy13yqd(VGdNiblh18Q2O{i@Lb-oJEWoth}hLLz1
z&*4$rCgUUg&4SACIVu*#+5anqaQs}9roF@HOWS$rCk}(@GnD>MVHmX(qAusS5jFk_
z*W*tpN``@O?ye&(*|H!5?(u#f#-b{&u)qHue_BM+Mk2JL%{{dL5(d%N5&A8LNNTu1
zJ=L*-+VWr)wdTVnYHx~6h$Bx7hM^xK;QebW?xQ^WOu!##%dr>Gk+u@i?sycXAHVZ=
zq0h|pzY_0I%WrUw{q8mhci{DF4IU$l>(u*IBqqX){ZJoX<4&>P2o!>Aqy`+n3h?*#
zXAwbP7wGqGte^(h+AwOew%*kEC`M7Q&mnQtABoz?jg<I<e2?%qJwnkO(YT449P>5u
z(nb{W(B=}9jnCVHJ`>RYNaUcFg(zli$V;tbaSPR`-+!~-gFDDbwh%mrCvcf<8!-SS
zagt;DB0avOt!FWbw$s7+y-B|x;Q)2iz;<e?h+WiJ57(%9G|J&VIksXVK0$kQKtD{y
zP9$YN?>}F{d#>k(zdKi@&F|p%-ycz*KD{Tkp@!?|LOs{eoci{o6!n_<Eb@}Wx&9op
z;q^$qc3U{|!Si4u%Hk+(bVNc#&~9=#zlq_0qjZlNdf*Rg8U+6>z~3+Z4dya+d(Ccy
zmyj4|$>yBL;xzpJlM{6@0jE)tW5**QZFwy`fqL|@AMeoTkEluiyHSyPRwEDfMdCMD
z_fYJ@Bjm}0@~DYgs0gp;DG<j#lkg56#T<^Wh$FPw7I*1m08(N&{bt5A>hL=4?|8Lv
znOaAq9PU#8S`0xrDxm~IQ3mg!2cmHTIXR{izC&)>8j4$JM*Ci`s?pyjc+K)Y?EkYn
z5a&^aI%mM|=_RPWGor8)&i4)6#$_DDD)_t-hK$(BasIc@uI2T#R|l8qqc7588vPc;
zX6o?!;T7tNL}47E-r=Z*bT~<tb(jg)`EdAM!0YgLaQ)|EKi9GA<2Gv0P7M6++YyIQ
zk^Yvz?<}9<GHO%T5~QNe4=@|QB7_Vz;j{1;n1UH_K8K(+-arN%VE?hGiaWG54drm0
z_PzgRz&!eW1IMVNC$hkQPiu)R@cbJE{~M~8ks8;@<(fT?v$zGvqd1yj3jBWHGfWrk
zzzek7AE#j67^I>9cK9CNGX}ulr=O?ZW|)aMBq59U=hE=nTMO0jDjbi5_>ujlpfR#y
zAMNyo|J{hcPj*5^tf1fbaECg+L<Km<(@_T*agf?)qZho6xyFm2K>T0-n|*)l?15R>
zkF*?D6Mo-3ixRZ!eeWE~(ccu@#XHn64~eMD?@Uv17P+ap5qxIwIq3*)!0aiI6#m=H
zNo>I+c)u-*n;gFwAK@u{L;D@@3^vneOZeQeo?2QX8-Aol*Y#V-jB{jI59cldAH&~*
zI-@VfU?~p3e_wtT-LM+|uHm(L5-y@FeT{|p!_w3+0<O7y)Yb{haTR9v`;GVJ$yka_
z*p97Og(&zP_d}FKGVJEqNK`>$tf1}YcnaI;vnz5TmRdeXIe4vJhXF8i2=0@`b^0w<
zV;Out*@U0qHO}urufX$R8V<wp3r7rY!1?t$c@!^E!^hZ&WYp#}wcjJw;WDyNe;G7D
zXY|LXh(Is2L{0dNmJ)|KCK~Nf2wodv;P*lE?xxTFC;^|P=fLY|F8Iu~90O4gp?Dfe
zaFc9Ta20ovl5LJjS@^6x5?kPR-eR=X89vwCgLyy05Affz{P&%iIF0A2(chb#A2YkQ
zQ;;Jk{BBnnHBcRIAQaExQ5<7m*G2?9H@xm2rp?KyhfLT<pF>d@NwJlBB2X0>aFTk>
z?6X%Zyp2-G53ffm0N1bQtM}S3uo9<{i8frzwz&m~>7zUb!L{Xg|0)=QZAd_k{$AV^
z!?6Of@Oi|wngPzaeEk@%^VtEc!YDLH2_%8{_fZIg&#-ayIUaS91xKlA7TVwy_?`7Q
zb+5rB^n;li!t2?4_y8@?3uCYhaqztL->Dj540hu&`Y>-_tb^Aq@5Aj84S&0Qf;wMA
zGkk_Q*bJ}TC-E!1SD%47w__2^+5w)oJ~LmTt#ufTx8VF9roZX%xv~ImQqx8Z!v`n?
zf2Z~u`z`z)H5ty~rx*;MC&pnmJm<}N8=kin(Fu;B*N4>fVcwot3a?oq)KLdRVSN{n
ziF(c45WO%Ov*GjqTKFvCGnqN3V<<YJHVPsIj?&H|^nt%$Ilm|9Z!Y}KQU=!J@0MO$
zdgC3ujK^_}42R&e@LD*JOW^M#8?YNbH+s%yX8)4#yXL1@2JgKYXy5y9cg%<V`y5aa
zUEz7W2RGpPR}y}QYK7i#zDK~hbiEHoceobbLJ_2g*QswY1>TFwAsy`Re}8Y_Z#87a
zCF=5dYXY2`nkbB?kQi6Va|TCo7{_o9{!WsN&;56kP&igy;eE(+*LFQ;-b6P<!}IAe
z>hL$q#`qjd5r;eQ-@2SH|4k$e;b;N#``7nw_jC7if1j5RU^yc3Azs1bFt6*%>qi~r
zgVz-2*f|-24zTu8$OW%KDe)*Cfn(sB&wv-;v&Gx+Uhe&EK7N4DG$FKI9p;^dy|{;*
z)KUXoFcE8U2)E$*?Dt0Jt~4s*O;kczgd#UG;1BlqcLc9}v*7O<_2GD?#!3468j<k#
z%2II6ITt(Ox*iHM`~9X8%#$Bx&jB;$MNyQ4W784?Fcm(>97ht`&5N3FJx|AXxC-x$
zufzM~Kv?T0nE5Ka*1Ar!BPa5}j3IE{r^Y?@I}6VT*T@(+ezi~l$zk3#7>zcl1m_?j
zyjE|(OnipU2uE#HhTq>`M`=_*bvP!i&<A6&2)pqc($J>gP5eG+UVks#hVyW(6+&%v
zg3nw&XKsaS(`%UP+uW(}IMN_F9>MQ?b{hMz1~cGyUZ1NfBR7)ZIDPrw35`c*IQIVA
z@DsQ~jXz;E%=`sDL3=bqL)3@Y@y2KY$HaN{{^Q!%41c4$jZCx|3ZK`_I|=Jy4T-5G
z2fVH{LQjmwTx@{P{9bQ=f!8Acy9iyvIrv=Ryn222JLX7qM+1~a2<*f2cOx9@PtX9b
z<2gKvU#N30%sd<8;9U1bcX&OLuifTn?&H25<FU4pn6|RR^QA64e;s4br8wL|M(Qby
z8gO3v!ZjI<ui-iQJ@&&nm#-ZQzZ0y2&yM3U0IlJADS@m=2=i{nObkRbc>T<ebnqH;
z5__-~UVEm&wK^Qb;`!QbQ!y82_542upP60Dxls;|X-}AU1^lh!3cQ}U?wpUhXb0<d
zo@Zhq%)K6);`!Qbe&#tp7K6|cAHe%u0eH{5Lm&P|xd~Ai0?*-EC;{g<1%9XA6L79v
zpDVEd(TIxYYsX?aHo|lE2z(}YojeWCUB|KsKEVVm!}stU_Wa6*qVO5hwb&lcb0j8U
z2Apr#xm>&EoDA2nS-p>ch+23Jx$rn{(1*`g&ad}EuhE{v@1s1tH~CwS^<JfJ=lN&s
zfVrLTRrngt=LUQO$HjB@0`9|qhYW#Z_!fMY>jUR^F?Qe-?jap@<-x0X3!cl)b1w|W
z7jTWcX3aki=KLJ}VOGzDI&f}_AUl%7`@jJ>zjH7G-4PC-J&Gd-o<t&Cr*^-uJ8$MT
zm-Dy_u6OUT2jI9|#9g>Po`GXm2JfO3`osBMgzY$r-{JQM=eQtT*EQkyr&jRZ(i`S-
z9wRUi&VLVdKr?tQxITQwaO}J;B*JgBzaJYBgVAuEwSaY%gKO|vq=oZ*iwxeI&228v
zPw!jDaT@1w4bE$F_V=2c6JD474(8fv2d@?8U4Si!gY|e#agKAqxhV(dxgMIJC7kb$
z@V@2Wws1~e3t^~=*YPr*g=_gfZU2g&;rz~r{SQJ%G(>g0iu^FMzk!$`A-umh-&f!{
z>R;cx-Ot_6{k;Yhz-y?1MzDSRaXrt&2K<0C@H*|<dkS8=iotoVhIdgPjnNdIqyF{1
z+x^`A9HUUYh-Z)zcWCz<%)1#2F&Uqs8$8Ft;In-RyaY36L>eT6Ydit|AftbM@AlNl
zfb4h?&TR$MMiY3AFz-0b!5ZwwQCx;|?3`qUHGBPXzC0hRqZZ8OT>97dHBcF4P#pR2
z9MU5xZqn{qn0G6dVg@{i`=ULZi<&48&*gjwf#;)h=XEF*QpPi<>pl~*As0L!TqAGd
zJv2jCM8Le!SOu?H2XP+G#beayJ;a({f|*~1b5{wTpRQZ~nzI5N6SEe;3wRpd;}YNs
zZJxkBxSkhdI?US-uDPZNgSEbnqHvyHKz5irGtB4Tr(sUV#Ca`*QmBYpXoxoG3D?mC
zn0F<<fn$FPS7D8=!;J78%mdHIVkil-d#_O`lz``Ze&mE}BOM&Kd$e~6$KiS7^<o*K
zFcyQ+9j#%FuEWYOb0}Vhd2+&R&&SKb-&}A^%<6ei7FFT6g~MxAFPPW!_bb@<X6%K}
z1J3bHB%;<-aGtH-YnbcXOkTeW$1B8N=QJ;zSFi7mlXIIGw`l7Ej$$8N&nw_qPeLS|
z<1T1{26zY7?b>#In!7N}ULc;Y-R5V`YdKVb<MjcWqZ9hzbC}mLUV;tSg*cqXWw@@b
z*UZk9*D$j@4|6$>@^uKZ!!_(VYt|%iZe1^DaR}eT`E^ar#Z-)fbL>2HfY&ZFhoJ_X
zYjc-|*<Xog#@A2=6=2qys0-(|6&ypa59S?<8CZbT*aqj=y3WANxA6#dyDrnf+?imm
zEb+VsI~LCAlQ3&Cc-?buFTpYN`e0t?cNOe+CLH%+=#Oq_hh{MIdoV*anEMTw-MRFy
z@7?a_?&tm<=kaavF<d)=ywiC-4=b@5&hdVDuKkLuaGuR<2Iu+-nA>$O=hK{C(>>?C
z9-Gy%@;dbkj=^?q-+sP^d1qlFh9d&K(HX7rA*{U)T%&KH8k|Q}MRmLl*T3`H5FY38
zw&R)^gh-6X49vp{Y{U-yh{JGBe#3Q`*=v~V+uS~fnN7a-o^4J)cR%;{IFGj-+p}HU
z--O`2lXyQ8L*QI=M@P6Gt-TTI!#rUyTkUwhcAKAh&W58oTq9la2^_~SU|#1p21~IP
z+pq`waTI4@&DU@X_u$-_%k$HW^0nLi%zbXcwQ&LFJp!-)-siVs4ZLp5!8DA6b6{=O
z=sIkVmN0W;n5Q0`@Au;Q+HHR3KCWZOsRO#954<***FNmaKJD8YwqPfm3(vO`IERZc
zvpJl*`*0r3CtthG&u+l1j?-Bj#{v8R=hyYT8usZ}yT&GBBtF9c^n&waX6yGF))Z!P
z&AQIzYqvFlSsfqe*0tON{qQLQd8hJvHWp$fHefrPW9Q>APQuLAe+AcJ?%Ob*eC@X1
zVOGb-^WV93oy1`u%<GsswyvqUn2E_41Lt@!tg|P~>|C{hSzN2;a?a)JkI(|G;rN)f
zJ6tCN;TVp<c$oJq%*QfVhvWYp_F_NGd;({29%eDO^KJG3-@Dz<-Ov3!&f{&z_IAL$
zYq1;)FdMG332=^wA_9G3X4iHnw1>H!@0LM)?{??4BOD{=whsb%hx6L?JOxph2gloW
zwh7y@8$ZIi@%*#)Gw^zA9_QO^0ls&;pSz#y!nr+wpYS~#NAs@33b?MK;hJ`i$HLk^
z!yuTs7rLPf%<X)e-F))3Ih|L>#;ne5f4Ej0KgZGeHSa9MU=ggrv3HKYg_(aqEDqrq
z%we8$Fq`XEzIIz6tNVJ4$J&N%*`{sVhke<neOrUISkoxDu7|+P{b2phwd>SOU15It
z+HHR3KJM!=9%~!6Wt+DBB|LxTz_E6Xt-(fY!w!58=h?as!nrn!^KJH1@qFzzKXV`V
z^%#$}4coF!+qRG3yivTLhDjI;&$nR+WbV)FKIjcIIfv$xuifTn?&H3JthQlWwrSh;
zVPB51c|C_$VLe=T&c`n7g>~=80UUyvjt24lVVE-xKf`%7>rQx%*rsjUhke<neFx_q
z$9w1F3w(}GVf_Q(y!C~-0(|dwKX*U(_c-U(b!^s&n1UIYjd@s%6<7^x+Kg}Dytozv
zna$z6naS({zIVHyJ2v~U2WEBLwqhe(%U@$D7QnS--s$)f6EFtOi!}!_dkypYV=m_~
z!1r$VbF+R1=XE$7H^<Mpor;+-?_4<6*02(5umM}(yaZ=<&b<DZ%lQuGHa~M8$0s=N
zHr{W-Iyk?};TX@ypJjG_oM*2&<}i=BoJTVT_}=Y<;W-ePU&m}T{?p9gaLjjbZJWU?
zW^x|Q7vOuhJGbA%brG0f^SWkSJFX$u(h@kwG588I;JS1DS);XDvzeVUbC}yqW)JYa
z+x^`A+&?(0?YVYbLs6Im$9XXvcgNp#=Nwz3wSJ2o2xK;oxr4dQ@d)H}j9edE;oO?l
zwc~nThDGpPipDHhk9l2x<1q%V$w1~vUYp1H4(2vL3*__|k9EufS-n=do*h^7+OPdD
zg=7C<W@~ny1G$~IT`*fPxA~c4<GvpAu)L0|^ScoCZ4K69P1fdo1m-z7_i(nG%Y4Dy
z=4X!0NVqn}!f|u_97o5~arGRI!F>E#X6MKA*|~Pk%;Nl+E128-%zXk`T_awrg6H?|
z@><_ynAw`G-Q4DI{>&82ZGPrHft(&|8@BbZ`E{%vb8GRs<s7^IyvDe;&1~)FcFxTH
zAh-Lu`?-H0r{~9NxRzZ%u4nsld>3FYoMXp63eL0h;dRxyc8;un0?hAPHP?gO?&t3J
zVBQ&QbADY%(QuAkTlQ}q)?;1PXPwq--OiIa9?WmnVE-hy{ac6iSeNx#r}Gn-^M_?O
zXRzSR?(dj6c8;NA>6kjUj<I9y+IGIZhIvjuY|hQ?ya#7@ULO>gXZQ7(znkm7%WUng
z)8O3BXE5j1&)v`c9jkwu*Lhw8>t2UIZu2~hpSz#?dz{Cw!b&)fj;G`5_&UxHTiedD
zbK^W)xAg~do9SVKb9$V|+s?ncrmfF)ZLJSxHqXO6n9<{H=V9mYgY)W|vo_b?!}6N>
zVH}U(d>(H*w)a=(uH)|c>l|3$pXD{vgM#NVIHPUZrfmmbuY$9BURl>)<u%iv`Kzq9
z?X|)4*6W08$-cd2xxTz^xz?=h@A5n6f5tWOSGn!OzU<S!UDwuOJ=SG?*7;Xs;d=cu
zu8#-j`OmW3_kWV#Tz@C9rXQT||0cJ2{!Z|^{%`ZT=Ks!ro6mLrPyCZ?uIK-h=fS@-
TXRg=(E5YY&VC}ko|G)YlvP@#N

diff --git a/examples/ode/lorenz63/Lorenz63_fitRandomSample.mat b/examples/ode/lorenz63/Lorenz63_fitRandomSample.mat
deleted file mode 100644
index 08b7359c6415ad791ac2db3547b4cc86df17eb00..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 120184
zcmbSS`CCoj_ivtOO`0?)8c-^w)LAQ;B0@;!F(Pw#8&ZlAQ5nim$Q+8KGSpei7(yv?
zLQ%?)1{4k7`@`oi_}=sE=brQ2efPa*pMB1H4Qu&h;288VckS<J?vH`}7A{`8z&v2-
zoHYxVuL|=pU$K1k;`I*ZLsu=Bvu443^X1Dt%qPxSV~*h=<^!F~ot!;f26;HSm=AOu
z=p^<3cu9})*N}YeXN9zsg5+IE(iHzUjQszOwfaa&$x8O6CENP{eNK}8Qc{tEbw-G=
zU~!OOAqEHutH%lJ&rTG+&~#yIV5soJdXw-#eTSfHdO(;Ta7s|VohR5Gekk-+{wM^F
z_$xGwQH7~}j6vqT1E`z=5VI%4K9A+l?z0URE!hWuJx;-tm-(=CVF`Rws{w~^{~&&k
zD*g*L!i_<8xNwsvmSy^*dd_SN^Ie0V+M=;CF#+}B4xmd&I-Wgs5)bE`MU>6Ni`Hk+
z_jv|>Q9Xo$%5F409f20kGcbPaV04bs#kF1^pf&gqT-@daFGkN5yyGW{!@-a&16R;t
zouedY%e1JliuM_`(Fs=Iuc?}R^@2XD>6&oCr(V3v#gcazS@FGWOYYFL;KHe9EMysR
zm7_jSR?y}b6IEHpTb}<t?IfGeKS}FP4Gr^nN%!AAqy{OGBJW?J(ZkQt$%Lac`0N3y
zIlP<Jg~rl;ohW)_zK(X?45M2O3uyL{SyalwbawO<^01#o3KIiKH9wG4{3p`|wW)Np
zaXKAqnnRnl7Ln?h<)n9d9a$ztQb+YR(ka<V@d3$X7=DnRdmkr_E9Xe{We(lVzDWsq
zpHA#~Mpq73k=KH+RQ;um?(dQ1`&}x0t3ZcOT{hwcuPu4Gu|4;h>C8K}da~5~p}gmn
zAJ4r!p1<6f!dq`o=d!)CIqBbA{_u1jXEe^`v%_bzTj@03m^z6wZu)b~VqgCLYA{#&
z_ve9HmON>Z9*;b%#A;9fP>%e2nl|u0?M}T!0gDb(gBVM@rY|A=C4RK{umedw(Wbyl
zE#g|u2cqqm6Joz#QKG`YQR3DlJ#q4)(xTlNkwpPv^@TrgG<hn^e)C%TDaael4|>P{
zX78j2b>5pV$P4Xf^@YcM`v{j-y9p;AjS!TU1qo;OEf%uYZWM}p#|o|HNrKJ8!-Bl$
z8R7TtE5hn(66Q{PDuhbE7lvy56lBIpL;ey~FkYn(8S5=!eaZkh@Wl(B$NIyM<e9L>
zb|p;7+X~rY0$jXx5H^;b2K}yFD42Q&R9Y)Q?@cYd*Zm6>6BY6Ga2<U3))b}W>`?XW
zAiQ*HD870efLYZuaL9pBY}>IG>&`^t@j=@#=~5g@y@<z@u$_3&FCM!m#Nw!!tyuAO
z9e%nLf)A<#v8XTLEmu3-UeE(~9{CH7txw<!o`NSfn_%-6XYitrLd&S}LO`%yq0C8t
zasG)Sap86a%8a%poqHo`!oB%)_4j5fo*hpfclJ@k_;lLkbcPmh&!&CL^T|p{q$MHu
z$m{rHGPzelD{9_SmTV1e?%zO97Bx|8ZW~Qjmf{pqmQyw;^2$M~toTENl@9B0r>i~(
z=k??RI;K1U%z2xO6<@Eh=7~Oi`Gc<=Z}?!(Hmd#D>t;VL`__+@Qv31Z8xCwZ#hzQk
zZ25?MAD(E_oA19d=b{0ooaNk;NBq|1pRrmzwq2DU1uL@sO&MMu)ImR1w2;)B1}ZpP
zO`Sj9P|A&R3N(65KDzhmS2okjrkk|BvVcCWxJn<ha%j^2OSHr?n_f=LB85I#<a;oS
zD$it7zkth>zvl||o}WiUA6+Av+l4f3)GZRG-={V0CA8YCoZO0ElTynEf<s?OuHYyA
z^KGY2V`+YKOP(DPRXAg#CI@ZQ<*U&>d3>xHe_d<EE3q$|R5)<9krP*RyYRs<cQzdB
z$sW7B_<*j!vtI}tbVuOh&%Jqrf*0opdGN3DLA-I>K)%04GC!~Tuuhf*Pw#2W=LhR@
zn}a&{(Nf@X9i6n(>?eg>uBP-?&&l%g0}2{nMB5)+q4m8p$!XDX$~kb5u4g6FrVG1h
zbbKs1VKjY8-a_rJ8)(P0wPew{n&vmHqLAUMsi|%aohn&Jrr$SG`|(Jstc|91cVel<
zV;A|4P9peofcjz@y|zC|Yp<Ut&!1OlNa;=LIpZE>q?Xd+=(jZ7q>gx23th32;+Rhg
z{HsBoe>muIpEMKBvFpwI$)48?bLNGIJ-GWQ@_C1mJl9|>mpe~n*-2A)*0^AH`8SOx
zxlL#O8q9xGgE%vFBJVxs&kiu01CM#}?-plnU1Q4yv(5NHs}2_~QRH2}{?NapAL*TC
z2_3$cPaF1}q<TuGi8Hp+q-P7MTO3X8OPy&^fhjH6phAA?Eut{vxww1#4Y9!Cl=$#>
zl1PbBVs%i6*helvY(F+c9Ch76?5^u2u6d#--Z9k><&%`e@b7Zsd1+a(_@s=Oe^pl8
zXrv$}h|1#F6b*6LL0!@4wz0TTueX?fpr4o(;4U_e_Z6>S7%whbH(Oj)vO@G-5GBs=
z+bIUy9uT(}W{77Uv&FRug<_2VV=+CsO6-hk5`8UYDLz_*0y>SzFS9TGcgBspbVt%O
zonUIc8%8;qQM7qY0u7&Zh!)H}OQx6eseV#1#msv{srBC}`afxY&T4$`p&{qQTl0{{
zf&AqS@D|H)92!4^C*N7Z8Dal%x?(g}?TKTQOW>gfiM()264!Jk@|z{Qd0YMte%id1
z&!(;6!%nmL!@N;krR>D1zYRF2tdov)mC%HR>9l|L0;-A9B?G<vVnAJEq2;`Z!qTGW
zLY#&%<bEFpfr?AvUek6^k~sjCD^9@v@NBU4xeonh?|{^Y5|H^<0Y6t(g3HVr5T4gV
z)t5#{IP(kcn*4)|zEYTZN(Q48<#FIRMXcMTjIxQU2(ju|JX;gT8)>84WgR?Xsf&?I
z^zdVxKE7OMfH|&)*n<pFRj()ZckYSjd-lZX#fDfW7-Ddg0m|>u$0L&d=|;Nfa7+i=
zq_ok|M-%5PR>xVJRIyK#GTzy&h=bP4W6)YzEZHoL<$by#c;i2q(ftRUZ??ktYfUh$
z^9Ni{_y(JoH^BDOUqE(H9n3SYh4~?$!9wjbm}q{6kt;q!j{&t1=2r)g=nL2-Hh^Z{
zH;5k42wLq;kf-qr>Xx*@desg{t?P#B4r!ceDu*896;OGf61IF$!JL8Wm=djt36HhW
zT16L+4%9~}FvLFgM%eJp7~LaG(d(5N?rQCYV;-C1>=_oAddvc!?X^HFR}1_eZH}#x
zy>MQCGc4X?f(n^N=oW2=ahCe1lGp>cRA^!Ec6D5@sETsRN@y#Y?_Vl1*gUukrpC8H
zmR<`;*MEl!&3fp$?-LA(_yDfYE8%GRYj{=l0(u>+fU8fRL3eZ+9M3C-^pH{rJ5UN*
zK4oCJ_!)dut^ha77jQlM6`am~3$M)H1GiVh_#t)h>El=E^Z6%q3%_ChSIISRltM>k
zIn?t~#7Wy!(CMu@nz?BsCF<h$Dg(?jFvd-eW~gFjfp;sc@ZCroOkUO(qdn|UCc_?A
zA9lcVX8q8|x*z_{binTy?eSiJJAC2T7d5Y2WA!sjl-u454L%s-utozcxzz)=g=*sR
z-zw<6RslQOq;YA_f3Rg!GiVQN0F|-T;Q#Rr+-om~<c!DQ`sqG=xN{4xjVuC(RoB7U
zCm%8ja$#vj4!qra8Sb}Ug1eG7Jn1sz-Oqu<{kgEPEf4CyUxS*}g<v1Ykka=aR84pU
zo8`(N-s2_2HNAs@)}O(n^cyIBYlY=2Iw9Lu7Kh(a#C?%!cxRF}t{SY5iM@<*!rxxl
z|9Wry;ctttGy37blTMf*xZ<W6?%1Qj1I4l-STEy^ua<e^4i#@){&Wbc-1I=KaKlv=
zF6fan0Dl~`!?MQSX#B(s-v=1tw|&}pEl&m4l*wXvM?0vV`346cyoaoqa`><LJ}C7m
zgu9McK%-|S)O|V*+4~Q{OWS?0D{VK7|GEPb)V71{->op{LL_W)ivX+WO%T+76U6u1
z48?1=z^}+CnD8kYd~3Et#HM)IpS>HtZ`undKc_<Y*K|0LcnWsCya0c1<-(jvh43oz
z9^|bp1$)J}Pz<%u+^ZRer*}c~D|wuBS`9B>?13w*jWEr{64xf$qFt3Eo|SgTGjF`H
z)pr<b^&E{J{Q|Ihav*MBIt71>n2Lvrr=t6dAbc}-GM-sF0gJoF;9RHSxT~)>PSkNl
zwchsVl46c{S`Tw}sG!f+F8DT}9uD`f0C{VIIJ^jbP96r0**oFI-}R95dj{+}F%0I`
z4uI81OrR!B6>7J%3&|JX3+KZg2zQp`2^XiF7Gi2sg*oL3!j<<iLh<R1!h!Y`g3O%7
zf=BXv;jaH&;nmE!LfWDELhSoRLZ<F=p||Zi;n9vr;nkw;!WZWRVfxQ~Lgwi-!Ef#v
z;gVC1Fv_M#*cSLm_)`8_uoUYBTbF-=qn#p5%g}}|`leuzZVOfcZZK}daQJ+5G7MP1
z2&Vnq2v+;!V1Ms@kWg?8de6%O=|P2X93MmIzA9KYxCs^?mciO#>Zq4uh?&v7abcSy
zTD|hZJMDhxWD|tv^cP_H>XoSUViR7U7ma@NW3k9S9_u&l#KpaLVn<gT>U76o-Rubb
zxN<p;IX?q~Ge=>3FBkk>Xo_(Tia6o-M_4*IA8tO}4cnb2K!&IW7EcZd-{OvWZ?Nkq
z68}3aN^AWP>pmJ&*Zm<h#x<B`99=_wJ+{+3wIu5C`w(sFb&|$qU7%&Rb17rvO?uII
zn*v=QQTL2z6u1609ZLK_GTC+X<n<4lr~8`{XLVA^bQ$iYslW?vE3;C#I-{93n-}PE
znuj509WmyR3NyBTX~DM-_U1~hK5XD*%Uc`m_y;=h<X-()i0sEkv-<Jg0tYVNY0qcg
z*mBajKAhj(oAYZecy_26Pe?W5q%Hca?5M*!*VVbLpE4&Mmg7ooDPHFFhXT@m(3+{W
z^eU!`<_vgAe-@Nd-oS_CkamYoW{R|K<_(&9J)h1M<x)Xt4yhMjqGMOGNqtN<6-H;1
za?m9SUcW5ibXVx}!aUls?;5?GP)PTVGCBTtkE$vk(fHyrI_Un2`q;gvq|{mpi1<Mp
zD}K|u<ZgO4S&p}<DRWe{I<I=F!*h!bIE_p=<D3Ost+ruvReLs^Ie@25apu(@2l3O|
z!Mt$75Z<Td&Hpq7UhX4sX__}bH1Xn@q6hce>BehzI`g&C{%o_tmNU0nah;VZE3VY%
zgRz>tK1PYFwn|HI+%LNFppHVT-_VL<PsqjOHg$#+(3-?7nwWNqjFQvn*|Gz4%Q2CR
z%j0S9xb5^KeJg!lwT1Te-$<wCtf!luYw6yvwS?a5DeUnET6Q>s9Ll1|pfQHRPREh*
zpIvnDV-m%Oq)<bA8VwzLl2+xOr<HVtjKXiyyNbKC;Nw$rI{b!=q-*JxW;6YyE?O$D
zz-JoOc#WPetA`r1-8)M@7%aK&51cqaV=!-103Mt$oHPF$!`F|E=T$EzaYthi|Gpc{
zGH%m2$S#<5lc(_Sr4xDFeSdDaKAb;>d2^(eE6;vo$L5OWtXZzhHtUsHZAu5tcdMm8
zRi)&<^CsO~e2!)wOrcu)Sn3?Nf>!BIBE{4p^d--R^8I^|*FYKaU0y5BoLwT$eRoxq
z-jg9lSSE{EelcSIsFmX8*qP!+mvQ1ai=pDFmcgRd3}-ROXn>g8>>w)SJBY^EUu<3F
zB=#CKNVM2EL~M5V6%&^Fi^+yTqRg=QqFnb%asGu!@tVsHarfzDajj08n7Z?<c)!n8
z@p$(w@oN8P;>Gf6akJJhar8Dh+8wS*yOtZ%i=BPR?DHTRmO7l~-I+qy<3lN3V+$R+
z9#6ZP570-SlN2Q8kp9M7^fI=bN?Jct-^cA_x>J#3YIQif$&4-1?YX|(ou@A!&iUSf
z{Hc2mm&{zwms&S+>d9z+9~#H<3cI*!z;51kZZ}`{N#L*#JNVw#7<Svefmc3W#M1Ku
zd9<oG_u6H{=Q1?7q~SaDF(9(rw~wwpn?e@FYLpz8D9%1(RrFxWAVI}k6t>!{!OR9{
z7&v|kw0&F)e!F(SB$op)IQ=;2|2+??tFOZN0Y$JZ;2vyhc??UOp2OH)m5~0V8Y2Dc
zq4RVj45|4Axr!ZdUR4@rNN|cphXR^cD`P@|8s6NfiG%v+VA)k&d~9KWzvlPEJL`>c
z_heJd{$qwWCYfVys0DgESz^UWOKf9HoU`2$&6+GQTgC!)3wz-cD>E$jG{IG>M(B9R
z08@VIVz+^g1nX+z18FrZc%_8?=j3tbW*LmU*#$o5+Muem84~b2lq-ILP5o=&bWs(&
z6yJb>`%BPrsDMF7%b;QJQ#hvj1f&%ogU0p}7#vpu5o(WNo%R!0y#FbTIZy^qwJTt<
z{7YyGdjk_kR>950YN+$6gKty6fmLY}$R7Oze~UWdR1X<!S}2c4%9T)Oq8fgFr-`?g
z^uVwdeY_iLgyr{4vHG7mp6ay1C87<^cCp3x<Lt3SUV>Nr`eUlz0Ng)g0IHY{z+D0T
zarqw!PU~Th&gc80?_FywUTTS#v&^vKpb>_6>*I!t68zJqhT9yKaO6T+Oq<XN*ECyU
zk?B{cOR5IL$TtxG=NX)kD}l;OcR^K_prHFYgrCa;SLrKoOyLsDD!2&qbT5FV;dv;b
zOjxaY9vpw22ltH^;pd@jXd0gbYUx)2H(!J7?}f1C`z?5|p%_B<K7mS?=g>W^5-R0B
z!5q79pnI<s_-QBXNtea^NF_|#u8wqC2m8D*!261(c;3MhKRfrqqbd$K=7=M<J##@y
zamN+qo;Y&3H@=?)Xt@S4@H$H708#3IfH!)3VfB;2h{s$pEYlJ7<m^$txHq=<FvE$8
z23W?LIBl*HcFRkn-|iOZ{_it{|9%O#tR6v)kq8byuE6(m=fHW=F*wki0vb_?aIIqp
z9GDdYfxcV7V*NU39JvydPc4P98y7>~jS#ppB?LD4EP^2`L&4>37!?1v3bu?~4}T^7
zm*+=A<-9luIhO$c#qR}6l|#^Ce;mqM&Vsn$G92D^9m*%)0h!7t5TpMFzRTCb@-xj~
z{i_>JG%Mh77Y&@7r-#9zrf4i!;~NPk*KKscz{DZwUNsaSWcx`tO8~m|os5yogK@!@
z84@Xc7QUS{3wOVtfrko%F|BD5ZrU{tWwS=$$Y^i;HPi*4_P52FZKhZpuZ@#8N_e4J
z3pjp#3!gLZ!kW}eQ1tEybnT0WlKrcpTzV2H&KeAt63t=Y3Kd8@_Fc&7ekj~axgdOy
zNfy3d4;S_&`b+Scop7;IO(?Lb^>%%A%{%znUhkVB3%zG9>hJw|dxuxomUCWa{f2s(
zoY^_VeZ0lZ6dRSoBNlTDVerAiu*jmqjGG?|uRoVAQrW0ewBN|8$o8*u(UIU`MQ;C1
zDf*WfTJ-d7L{agm_@adN{Y3{4XB3I!E*0gtiA9^%JuUj_`mv~YT5HjIiLQ{Js3qQ;
zXevGnv=`N`dWiA|M~iB<GsV=TRbpjSjCl7=qBwtLx_EZsMe$=*p{OZSDtdO*h)+7(
z#owmNv}nCPY4o?IeREtX&3y!wy$z-pYgdq-NenISn?#@fJ4(CkvT0Nx(KpR<s#;w~
zW0E^*#tju-kz~N*hgtLP`_4SQ!-oeKOyIFM=W=__D&DRi#S;SJIQZ&r_G;M6-Mdq`
zW%xn<aVwQKm+a@xafz%mFOD<fH}R(2`8>$ej~Cna=Z-DfJYHy^_3N(Chbdb~MWGk@
z1tf@(RfgUUQ744vu{zLreKg!liGYVi`yn~<9E88T4u*0Mp&4F+>#b_gk#J?(VZXq1
zZ--<pOXI?3Sv1#Bz@$P&T&1FnM>>^p@KF`4m+-e5RaMmdtb+Oy{Jx?~85fUM#y)G6
z@NA4C7Hv{M_4)EB19JF8PZno4NO<-wDfIH~27lvD7^VFW-aE8|%9=l*`|TH`9BhTC
z$QI~%vKbT<n_>L<CRmx=1Y-)Dz}ul2EZ#T6nCC5UNc|UtZvPF(yxQQD<6l@fy#oRZ
zyCD0F6t*eI;NSmb@pGpfp5CK?b@ocA^;8*0hO6QxBXyj2T?4lVXyNEr+9>1S1Dnt3
zVpxM7Rx2A|v#cR*uQ0?f>w4nbhMt&ZXM~enjc~oP5pF##Iace5Dqe;dKG*<{$mwI_
zaa~N%>w(Vmwb5d)CU%`s$D3zWal>I{T(Dgck1dzSzB6R8Fi;v#=66BckH7FZ=nov~
zY=MSPKVgR64>-H;D;x=_hXKiTu+yLx4E}zC9iE?{v9boJss=tuwj!C&;9^w^Imhat
z|9|yho%t0GJN^J&<tErUpcR%#Vno!$f6zRv8}tjLaoJ~C{Ar_rX6uzuwL%4hUDeU+
zfF^GKsf}B_baC=peJtB+i2HUM;h<S2IIqhTWf%0q1-r~~=`sr}l()p6{+5_G)DpWt
zS)ielg+%u@M{5apZRu@_&I66nwZjlY;`Pzya}SKw(?(Nk4J<NM#ZeM1V^xzJCcc-(
zrh-nm@!=1w7}gA7t>0i(dmS8+Xilpg-b2UYxA4N`6-*iR9CDhUfu3<0l-_;{tG_>i
zuPIL;?bZ|6u=FWt?<<8=w`cGxumY(51$ec*hQMX-VB3_B@I3P~<j-q>rcI3y`Lh+m
z^Z!Eqd?|F<Ba2g?D`2pb3NAmQjvX4>xFb>*@75XME)Qe;8)k;_Yc0@gWN$2gVS}3b
zwy5;i4!5pz!0|Et@TNh3{Akx7Rj)~6r|5v@V2@ctZ1Knq8{Br+3KuOf$AGgYSbxM2
z<tFN)@mo!NI!qPUo>0KcvNGt{@E4ktCF?h$9xA7Ogyt)+;pM((P^nx3>BjfKuauzK
z{wBO}EP%)Fb77Ht4$K{V2}(X>!AOTJaO;@`A5LaLLP<6pO}Gq4K3@UnXL;a0{yH3)
zT?D~hw_sM^Vpv@H7(N<Q!1<SNpwXZjD$DC(u6#4pocs%`E2Qz=Rs~F+tco%tv{24Z
z53f!%!r7C1;ToUbxL3gzFYW1v6CXHXN17|1{o{@s$rE?hcp>`>_~?g#iq{1UJ|l^p
zSBBuE>cKeDa}d^)IN>UZ#&hVa4URu=jyDvHu-Ui=zEe^|y9PO|%>4)QHQ&J{?gQxD
zFNc^L_u=b?n{Z4w2M#8mh2DRU!nrZ2urw}7f}?hV$GPp`7_}7+O^ASof&YQ9Hynn}
zUk&$DR)LYlY8d%z4G601p?2CP&}oW<<^D0S+$RoZmF|L>ZAsvJGX=JprGv8NDd>K1
z0nYTi3Yxk_a7XgH;X2PC#_%0Pm3)B%cE8}Oo-~Tpim2MEfqsHM=H!{;osrg9^WFjF
z=epqTOP;vktPciRj>1nZV{zHfiTJBw3c42rqpQ<&eCawJ4`m1AgS}JG=<@`enmY#D
zdkw?n2}5vh<Uq9k)JL*LOwis}8{g#1WBdMA7&xg4jQ$kE&D>n*nSUG(7$(A{$6Mgy
zsJT#ma0EO#H2`3=5zL>X2nB1u3l{=Qg+*O?!U==pLiLE<!p?P@gnOgs2vHG!g3cZ{
zK~tr#@F&h#IC)uHNOn~bdX~uvDSpy|cTJb~)FEBo)dQr2-~<^V)=ELJ`K%)NKGYK4
zJT(y3{plr0jj$CWik$_ictO~iHbyY%IZepbUm}F(ZW0!$#0k^0lZDoq>B1qW^TH~h
zYeGVHv0!oNwNPyHO{nsgf`kRCkaW}lJQb~>&oyV5P%#wDH%x*VPZoj6pUnWf<H6n~
z1#Zfmf@PYyV6*%VjB<Se5v%G!!?_FQd8?p>jXpjswnTG%M;zMXg$C|paNmVs9HX!p
z57e$j+3!*K??Nm_EZT+Z%J$&2BT1MQn}j3h@4>$&JMsOE7`*y&J(f1i$C1m%qP*K6
zEHF03S082Z<m?x4MEeZ*8i#|=E=v%LFA5I%N#1iW^cRaf?unCAbg3mB$VCjHTd<9C
zbN5lr`V1<#n?*yOTq8BQO&e~PQ0c!4Iuct+s!=rrUG;Q9TjKXT{6!mF{!xm96lWfl
zVfrP<HjausYMe5cPf+DMgVi}nMw30yYw<EC9X^!YgSAR@xz}4g?pLVKFP0mybdv#h
zc^mS<AVcowWyrbT4ER}y0as@0^Xq$hyeV6k&BA){C0QLlyH1P0Kh|JURp$(e$2TNU
znTLid^1KLn?sGtvKj%sF%tzf6JGO%qq}r*x?icB(w~)@-pXAr~2hHyLjRtIJpfdA%
z$~5~zE5qwZu&JXIr#cEtsUznpU#N0<JypGLAoo+>XnEle+G*WHx^G%Y<>haBZ}69v
zq;yit87W?xCd2V(<#_5{1&(Y~;-QwRyfsLj3wLR<;WcdzdD(+KKI(DPQv)tN(vv0V
zlfCjx`0X!KR{m?oVTHXo#M7JytuW_aQ_VT9wHIsq^x_jfX1u!1gu50Rb9-`6cH3&e
z+dTDn>pdL~v)AI*Rq8BrT7`E$R^(aDax7&k!(EwObbEL^=^D3EkV_+NOKTvD*|ju0
zrkZlK-qUB5O0r(}nl1;ur1HzpsXMxYem*UyqW$IctD>CF?y8`O8_(&+td}%G((hvT
zTQc}vMI)wEQ(UiFI_}p%Mdd$e%GDM!tZ$<`AzidfSB9T!%kyFzB_1(GmGd@fu+JrJ
zE~wIFhi(H_P%>u2MpM3d&YY$CS#f2UHLsi_@lrec@@qFcUZZ5s-68g@H{PBnkR9*I
zwPpDMeR;aG4IjI2#ip(1Y<=658H{+`27NY;(Bal#4HkQ;u<l!V{(4B7PrUj|A$iTT
z;!^`n4zHoc^_4WO<2m(JDW&MlhqR{VE?Hb-((PYF5kqg##`XdlGcKPJhvw1himUXz
z`zkHDok!123MfbUI-QNZN%QxKl+y1u)dk$A5C0y~bNe#7_3j1r)_6z71vQlVs)1&O
zG*j%1zw|XoniDU`vy7DrkIU6yn<+i`x|GE0I%&cdt`?k}Va?W+wtW9-KaL4?;+9kw
zzB|H=7tbHe_uqN2{3%cN&+_DLO&<IubTF?lc4HM~7vARW$Ucwk`PeNRcK5X4CVyj=
z)6?V5ObsrxRbrh?Y2Fv}n>5uM$WE(@ax<UNotFF5)lo>w<+)@Sae)$KPSL?R>GbYk
zD#@JPOBlO{-aGB0l;b<7<!LOX=5414iN<BMe><Jo8cX#(cF^8oJIPFMH<d>w(e2p%
zly7^8j6#l56`Z1J1?S1~X%0Qyew}hZ+#-7Si2iMUPHyy`4jykHebe6*rYFr6vlLmg
zR<cIZb(uF9v&T|PuAOPiiJp$^TQ`Uo5A|Zx{zLiW){%V3*q@uq0$4F>BCk}O#KEH`
z@&18<yt-h#<Qd`5qfU=xDJLJkdc=b_^ccve?)GKNIy26{pv#*^sqp&O-Sjx}D;br(
zq#CKaWGGyrigOusEO0MLkJ?5<v{uq<!(du_U>G?|JXiDeR^+!|j~1sXQ)oq(_~F8L
zF=+F9F<Z7mbd!A~_8WFbY)%zL!-|{YxMw#+ukf4V@RLQN|Cn3i%31ft#}$u7kF(E3
zgEv*8(eiq+?}}ey&v0qd{G&wEMrxCPxDoZ*)ti1C89>*sdD5KUBPn^&6e{c!LVw1r
zr-lD*qliO$NG<gcMMRz^mAO~Q$&bl!SSjUB|3Ft$n#iz2n%i%xvagapuXtw8<CGmZ
zHQ9}q_zmS+>2a(U5zId87VzbR%eiCwdQN-2g|+u@Wh>PfF6te_(zmy=<Haq!@$Oo_
z-x13FPfzE`&SN;h&Vx&O_Tl{rJ-9<oidVgQP0|Ce(v!W(lz4PLZR%}H$1*;P9+uJK
z*qP^wy4LOYPT4qBxFzAJKlrmSFHQ{_&RT)tNq4Y&J{q<p&VWT$%fPi_vxK*Ahx4}+
z;P2mk@V(y=xG3>ge^+FJXJ`)G^12QM!MDKa;X~-Xw;U#3uax+%wXogpCv08u7qnt!
zu&YB6!}qFV8TP;dorXBJzzo;S>y4q`Y;lkG0PG>*+kqe5acTDuY~Bi3KYl2_oHz`n
zRu9J$X~WU({xBR^KNLsFA^MqnVZa!7?3X?eH##}sI2&s$JZg&WxAagoM;%*|B%Y$|
zKk)PV3Xh~Jf!98UcSRx`{h0$ACTAek?+B<zCPVs-9q_U(3gqXkg_fL9$b2>%v@?T%
zEhoTJ8-G}Fd=#wSG6K@FheNI92sm9b5;8MJ!;rLbV3{8XiQj|40OmsMrBEpMSp#1>
zA^=x!ga71q!AiHiAg^;6792VORWB~UzQ=iB7sC+LT>_y#ui^CAT1c{Ng`Lx-ahRMk
z-jn#kb;En&-1`=2x6BSpES$0NmM6+O_~LM<G3b1JB5oTNjCG%8;iO^n(S1M&Dy&?D
zwlyJGv}6HZmY##xvV!s9o(Wi1J`zg`yf7`+2@Up0bR9DToD;2#ell%v;q*Hwop=Wx
zOt=6qUhIdM?nro+Hx0(VaEF^CdqR3yyHKlgU&wiMP%v?xClq}%7Pco{^DY?K!@F2-
zY~i^Z^NSWf;G%Gr6F0B17VXl9iZ4oMi7iPR#LRy2;>aflM5mc2L?!i0Vu)g)7`^VH
z_+;BFF>z|0xU%OTQR=rW>368nn;d;A?r%X>+Z@QO#GTrWhEvb@K+<-ePic<fG~#JA
zJuXS0xTC4$H2EZ9_a)kLwunMzKBjs0@2Euo2R)Pc9noi$+5CPF9=Fhp7fJFov|hU~
zuL54AH-?Aon8GIUbNTlDrEFgp&e7X8^SbmX-Zd$j&)<yZ!kn#aWF5&#*6Z2CB#aBz
z&0^(@aqMpF&8L>x^NK!(oN!N$_1D!%H2fkO({z}M?yaS3DIWARLY5YO&Jf3HYl~81
zyw~AMOJPJ@vM{rxL@3%W1@UTzkT$g+Xg>s)cVz<D&7TK`y;p;tQ50+miGzdt_Q2<Y
z0}xQ32GiY7!RWjTAgs)VG2u5My5tTtMm&bC$uFQq<pb=km*B{Lt<bBi3(V@|@Zc^L
zoI73%PuT0DnWhP<e78X9+&<Vnt{=u^4#cWVH#|0I2#y^HIArTk%upSUZ?2BOoFyZ%
z$YdlY6%EIHe_x#V1SI#-5Y&1*2v6>F#MD$<3{|njDorCC@l+dsg(>4J4QXu6Xo9$m
zkAQy9;8xLXxNn>XPuHA-_UCD!F>Eg+-`W9>{i5LD#nljheIXQ_o(5-vC%}LrKUj3l
z7v{JETr}~5$J0Dv(?<`eO8120v0k8@4A7M43wN4EK_~>kpc7Nzfyr!Wxx5$>7Ow$Y
zn@E_HvmHF%C&08T`{A5xI*bZC1A%icOZd%Ac#?V_YHQ0OQ~o0?{PhDmb2?$oVFgr@
zXdOfC4N&uAFWg)#@!}<1&-ji9PTe;Yuc?p0i=7j(+kP6(pFRgm0~X@ZlEt_vbqRWG
zUxKg07vqwk1*qmc3-9!rf(OR<<K;F)-4(9rq0kq%X&IsMM^#+5?H_FZ`W}YQxC@`{
zE<o0<eelk2GgPZgf?d-bL9UM`G{sj7xpEf;jpz-6+a_y4>G2isPZ?Le#zyNF?e2TE
zNPn-2c;c_C*p)Ivl+uk7o9vTCt9cosyG)MwdNhkGH<yadPv48l>l?-G=eot<QA%X*
zq)jCmMwFb}n@TqgAWa=l^4vLsO1cB-P3%0fAF`SZjJHzbh@JGnX+J&xe3X<|o~M%c
z`4r`Kms<9gQ$j;EEgaTDN)u#QCsLK~S?lpow_bcB!<KQJ3uhP$JmK9azA!70FU*_C
ztB!^6vpdV#VZ&O!xo9Jg^orn`><I3$a}zJgS;wpUtl;;m3whSDsVobl`Du_RpPg&R
zS}zRwpOqr}&H75m_CKHli_Xy%$DMR?)J#$-vLlPQKjNYd8Di`$d-0Q-a?yjWm%SU`
z4j10u+$T&>WWiLrUf7nY0H?<rz$CH(D^FLblNt&#qXVG8e+DGGhr*LV>!8|gE1Z<w
z0o@vj@N7{E95Xu#=|j#y{^M-e^0ojBm)!!nT_x~k@Jn#tPz_JU{D37{e?g~27H4iz
z!RAHUcx$sEuFLL)hTm-PmT7<7VCRZXt)AEw<b#>cBQbTlKWdyGkF~!8G1X`aZuvC@
z9hObOy=x}nL)i&vX629mwZrk*QUQHG48qQp{Sbnz(Djias>x_zl%p(uk?2+<##Vy*
z@?uyh(f{X5odn+tdqFoV2L5R+gMML?z-^iUZ8z;<$uc8o9H9z+&>?&}^jYv7`%H*e
zyCodll`DLXKPUWta7@V1IV2dn>=$0jCJQrWBnq;YiNY!OBq1PSukcqZMR2-ySa`GL
zxX?WJtPni^l90XQnqXadTUfp5sc_r7Qn;|HL2x(zD}<kuhdN_TxEtORZanA>lO3Eu
zIoBJU{__W|12f>7&2m`VI|>>Tc0%L(1MtP}1bA$@1liw;pgigcD2;v(^Ts#9fiW_Y
zoGCR73Nt{P*Oqva`eUo2Cr*tUf&Xa);=iETc*kHV27X(MuUsRspLPuTKi-bJ2F78U
zb{wjY+KvMrZpB~j8&Rz=3?Xg?hFOiqbM|gnD$(Su71i-cXCqv7yAN|ij=?sC^^knh
z1qz>h7i>H?3W>LTysvr7i+S4n#Js9X(XCB`Vhts^y*|U~^oJQVZ|Z6~9urNwGj>s_
z!+zpnY4lC?6yc!@G+HT_LPBp)bJ;Bl_kT!tzm$>D#n)td{3A6K*ORJEGlk^;r2{vm
zIe4G~I~Az#oe`Sc=XDP*n`_8NUYqc9M+=@DY|U4O+j7)r2hOr~<hEY}IeeHaJIlH8
zM=N)ZOm%0~sqU;k+l_TExN?`^%&Jz7d}Fo)uTbjCA04cCR*fku3^nAp^K`g<h8o`;
zslcN=q<B(7E2VXRA+Lsa^mSo5jgNmoW9Ji1lPVy!g_r2S!E-eC$O+mTmQIN(hv>iM
z2WW4~UOKZmiN=~FlFPC^G*;5O3?%y@Nfa5hmyGN8(^vh26!GB*b@?7A6W`O+_U=4&
z>EuvhO#$Tx5LpEm)9LO~l7%;P)9@3W-1dVOM7C4M78zFFq{MJRgNG|f`2J>NwwJc#
zxm)`3jgS4gM#Gi=Yw+L|lYp=FAI7eMqqzCR7|!k-%gMe0+&nvg^?b(h#rI>l!DAG+
z&-CTjv%PuaOgF~O16bjU4Of<!a$&G8&l4qFz*;i*3mYZ&*E_nq?GaVfU#F8Z&eO$T
zM<}3h4-F}ZrmOc?QsBy&)H&Io+-G>x#05_DYpe||YB!-YUp;Ek)})8ND)jA^0#&S$
zqZh+u$*H$2=}OB{N~t`Z*`Y+O)@t<PxE8r~=+VkSCNv_@iVCOMlj<ZFiu3cPq>-a&
z-Hb^z=iprGud$L&heQ&!#ZkbpWI7Ubgk-$W(0QpVWPDzv^TQw0t2b|H@zSp}yW<~C
zy{*8rrL?&Cd{3^+v*M>}{n;_eok#Z?$~|`YbIyS&d`4jo7w%rnmQ^d5kF8~?m<@b<
z$R?hdu#uzv*YlQTt9VuSVt(Im7F!LSz}4wPd33fj2Ys>RkQ>_Uo+!mXw!9}bYmpK*
z9-}WM(PR`ifx<pnkPz@y3<*9g236XK9Y+m{7PlSpo}T9-j82Uc=Jd%Cvah@p*1T^Q
zMjuxLX;))-^tCSxk{$$k=Y2rNbR2BlIt>oWFM<grYoMqj5|UrULa2-c%Oo6to!io(
zqV+VG)@DQU+-o4W>NaE>J%Re!uc2u8XIT2E3CbF}VER}ER18%|MNwCh>12ZORaU4H
zV~-Yw&e&_S2VPG^3~?BVS~g?RYy3paiJXG*alw+l(=j@BI;Q(hLz5*zIRD>7?35jg
zQ;rYE&<-!0Ino7}i?+D-s2PUa^uSGf6mgDu8(3z2gm&E$c$}CIp8hAHeql09{T>Bv
z4;H|YWIxC<9SEJHOu)NQ3BtKi_*YdX7{AIFBF7yUmV8YR`etnq`o_)_Dock8dlj99
zZ@HF2>~cL}?Hd(g_emMSMYG*odCyO8xp`l`qXyM```oGbmV5rq+sV7x`}&7=Z`BHE
zA@`1=FrPJqpvU?`abqumob3dKv#x^vEFZyod4S;7JWCK1RtjfoqlCIayM*~WQUsIV
zCxqOT%R=@}5>7Rj3R{0x3&j_H3yW+OKv`J_oHcuaX;42{DB}fI1IEHf={b;mEF3QP
z+zw8wl3`2ZQ8;iW3oI@b!D-V{m?u*MkCy&{yEzKDajgzE{xic;R|kBc=7FE4kHovp
zlksod0(^3JH5#Qw;_%Dc(ct+`bi1|(%QTYl{qAHuB$I?RIsv;vV{yIw7Tlb<1Wh(g
z!Z+i*uvMlv?p~mR8zxr+-MI`@6Aik{2f}c@VxdjB)_aJThG@R-x|o%(MY=n@>6d2+
z{kyo0GV}LSbNdOpkadZ?Rc_J_&wC`l^eHLOOH!Tko=nEnl5O5MT6DIVE)Hy?+jBap
zs+TmIhRX7cWQjg?NRbCeE3>A*D)0ZJ#%)m=Ec;cH-JP`g+XNk+J+=qGvXJD-KhotL
zetO(LO^;vP(qq#bdTg*=kEit3<F*63oc_KChfDQf`wnfcf3C&Dk~G<Mpayr|RAUo~
z7U`Lx%mxZdykemO|GqEB9s^`K?U*!=Fqh(i^E+w6mA|ycrHxj7|3zzSTIjD)Gd)WA
zNoq41$vf-^`9AzkOT)iY`10?xzu-GX2K=C<gBnS9@lU#5+e9`OTj<QSU!<+vCeaE0
z(mcs|W;;r8{|D0Sy-t=-xXE*wf+Bzapu|sDg*#8G@%3#QEI&(&Puc6Rb8Qdqw?mH=
zG!58$l_9Uc*ppLlNa}=Aj9K2>glA`(@NY?+N`Gj=IvY(``l~S;8yj;Ebt6u@ZOC(c
z4ES4u9`8TjgXbLA=6B(m+&w^@|GiLQ^HoZGMM;659+%}&zS3;}y_1%0Zl@W(zo>R}
z6TLd}ovOVXDAm1=BKCYD-I3MQu;2sbeyyVEZ{LyLpm!A3QAxA<zoS`?-qC_*RrCu#
zkfmWYB~AE5;Xi6A{!2Znd3~pIbw4S*rj=gXwNqq%CrQ{1?_^ot6r{jErIdN<RaHK`
zT!YnZwRyvv9^8MEKFccf<h9F<B{fo}Y*^Hbk0)91TMH{LT-cj`1zEFAvo-hbXT!D%
zHmtPKn#b<!%|Y%~9K1~uv)A=vDLqq8Txi4z;Rd{Yj4nU?t;Ibf)p<&*G7p=jz(R=(
ztM2L|tBZf=i+U5q6g7~}<4=@6>^->*d_x_Fp3}_jWi+7uF@5;`kS<0Q)8j+;DBb5S
zJzal?qKDj}mAmfH--UNcczBQOa*JuL<s-VJ^Mo9?mXYeR=OkbLn$}*dl8jM9lP}j3
zmNwF;alh%XO((_J$nY15ChBofnSJ-F^Sy1_yl|r)XD;r^9loZVCuPC7r#EADAAZpw
z$tye9k1u=}z?GMrcva^>*1O@%r#?7yL5MTU`b%`SL`M!B)Sssfv*)G7ec1o870;aC
zi)D@(@$bEQd^%8zBY&&#v;=u>v6te`d%x)Z_OH|<=Oe|>dPVuipORbbeUdRIDw%(c
z!WLhlN%mRPo_UVE>Q2$?cNuhP=P@$>o=(`6M&>utsJ>S^sn{N+(dEae()a|;kUCA3
z5$EX9{)^N+R8lJwmrwe03u#R0ZF*kzkW3dmqsrJf^k7g8`G$R?w%)%f&rXUT{wL3w
zZ7Lj-uEo)_^(8d}CLAnd$&aWHuMX<Rp*aIN?W!BYh#?$48rb^uP}UtXoQ+yX@VbJL
zY`1<S_v<@?*WB^tlmKMKS3~%Im>Zw5cVb;9iB5golDjgD_~$eomTOk#*f?n}j%b#g
zXEmK{dPb>!cc^7&9-V%0jvTZkSZl#vih8(%=6Xg^(%jYbVAw)RRhdSC2glRl*Q3bi
z%23kO6lnBIPjYA*Oy;u(ldO~nc|P)_;(Tu!TI54-UXLIzrLh!0Y7z}RHiIg)LdZK~
zCACf8OqZ;;(U~E;sJ?wKt(t#?wnU$zF*CF2{=aMFF!wI)K2Sz@q>Aj<e53Ei|7i7a
zd5)i<&YvIXv2BDIyDjR&;VT@u&wqotd4>-kZ}H<`rHLFoKbRLhn$7av3wS>-X8AWu
z*u-!t7YBuM=Z=NE{o-sM^(Kf<d5+_14PWj^cjKvo9a{}I;Xeu*+;OCv5{qi6`F%0X
zos>=QgHy;)KZ@?TOeMPtXNv!$P03BQV#3HvV#%)v(L|-MxOd~#B9OgQIQ)Z&_w464
zyyKNL1;y2#Lf?P$gnO4_gedz1!tJ8d!p+<~A$t5hp`!e`P!axFcoz0ci25S~hWk~)
z^^7i*_?kgnOkYsi><k9O1bE#t8h##|3Q6-9LE@D4koh16Dh+o-s7)%2>&}2dm$JZQ
z*bR79Tnrn0U&5B6S|}U*2Sx<Tq2zwT`+}sFV}gZ5H?zl-DT8pJ8se<X(OC6w5>BF7
zsGPM3FRWgH8*Z${!T}rcXyj(B58aH7MH}$O!f;9MQ5Xg_&BZ#HjJNYfU_86w?Uy$A
zdzl_8w92B>&d+dq&K=nO;Uw5kjfIZ3DG)@~Fh=vIa4RTH(0F1knCnY>uiBDTG@-wb
zII$y9td+khHr7;&*UV&T-IN|wI^UAAb~sX~tT$<>jHb(_Q>bd&eCnFGQW6s*XlVU5
z8dtN6%KPo3DK8FF|N0ZOcI5@q`tK^mNb2ie*gT+Nugj^^@;znBeWkw}|4=l_aJix~
zPgd5F==TPECDDw%{#f&gsr}e6-Gw)t_T;DlA9h(glJEWS=jVGSu*rbQ9D6c|lS`)Z
zz4)ozvt$a_#s#v^JxR^afl=&a=)=py2lHXc^XFNTWUSjp+>))yV-n;zvS$nZx%7_I
zB>!b_)>V>Uae{(kl4)SuRvM7Dn7ZTw$WMDPEy(Ci!O1!_EnkM#JgOI4tII@<S%sp@
z_w(X4Ax%7|ktB{Vj1~9$M2Pq6SBirlEE2sF=Za<RGsQ2DW{5>EW{MWAbHsZJA>!Hg
zFmau@R#ZP1DO$bWF79nf5Y@W(i{A1_#iu&w#6Y)PamqFl=juEWb^la~p5wlYt%JM8
zFH4nalbtSIZ0IG)KXsrTr5@D7&X1&j1XF-#7%e>*Njo?0q?$=7bl&46sSU}Yy-S!v
zUzbtf-Wm!z@tfph<=JJC79aXy%(ZHL+2^7QkIzQ#Q9G8u>rH3NmPKrB5zZHTM)H@J
zF+3(dj=wj?^SH-5`E+wU_x6cnyQ|T>xM%}gyba}%BZBzY*`d7nN<V(s(|~I?OL0zV
z1<A%{Qjff?RP>+3ldx+PD~5)M=9i@lugw6Vy84<>-YEyCul0qU86#oezy+}9T?Aw+
z?t~rt_rr)`N5Mxp3&CeDL7%h&a2i4|@W_1_SM~%Ze0vTb{#HVU;wM;Q^cAMKH$(Nj
zcGx&p3L}2X;_Cg1cxbSsmgkiQ9tzb#TS-pQy0JZR)@~DQKH3XUt+&KI>ehH}VjnaE
zTRdHChaYO}@#+o-ymG|>7tC<LR0;M^wzWftaeeXSUu%qXvBGHz=6GO}3H~{0h|6~C
zV%kV8oL{4gtCuNCYO!Uo+@cc<V_Tuk{Tuuo{Rtw<Dxv?Y=Wu<=Q}EpX079qTfp51&
zNPThxinkQN(HB=??6WH{ab*r%ynGo{BsDYN)pDT3@`@ziG#6rY^5Ib3HR$VK2vW$<
zM0X)a;%D5NRtmWC1>9A92fd9yfye2ua4Mq(B9uBnAw&kRwJ4zD303^CR10qm*F!C9
zBmD2L8NST7!ntGm;-gaz7<tJN)q-3wCDsk&>^yK-zac0S;f2T5C3Q2UUXr}kAz1m+
z1FxC5<A?(;s4~G3{pQ-^w0G8+RoM$~ZS0APFLkg)MGZ#|l*dDlJ79W5BV?vmgGs;(
z_;c|gEO;!!`@*YmYsUrnJ?JEyynh7hJr2N@ghZHreJ6O|h=sm8V&I|4R(QTF5_bNK
zfPo7l;OBrX5O^XIHV144yCX5s6&)+lRd#}{)gG{Xvlr$$9E45AN8!J7ry&2;1;{<0
z3#GjaL2>v!IHFYwS7P44yJMeW&zvUMPMx3@ERP-rYPd+F2aa|&LSIR~k^G&$D9AhF
ze`ao|^V19CCi`L!dp}I`9fx-RO~f-tC!<z!5I!F;6@6w0;U(S4DELjlM=Jg(9X1@p
z_IhJRrYmOD+T*J&7TA`pk3F(g(dM!gMiqaBB1v7?!<t**t9S{vhNgp}<!;!qECRX%
z=fTW+KUk*Y3e8y-5Rj?`r6;AKd_uht^81<4{6Q2nZf6VO6EcJweknp;*lyumbgTf=
zwh9%=n+5j?{|PF2>x4D&>jgTs@&7nF?{F;tFOJ)L%Z`MyCCR8f_xZF$l2Tb|2rVrw
z-=>VpYKYR%Kqae^ipq1JQ<AnOQHr(}DkSl{uiqcf<+?onanEz!=ly;iu5NWKw`5=f
zCwFrv*S&Zb=cb&=xfUJaD*aD#kCe}Hr<yCc%=b6BLAFo0u9{{}>qR>^|C%I3hATsL
zrw%0T7!1el9H8UhXqcxXcoBDnz~>#yz-~`092}DZ;SKvid1Eg88+IPFl@RLnYhl-7
z!AB+g3#R^&W(oV%So~81)^=(LTlr@=t0@+-mV=Yox5Plfw-v!~_$oHoc@rD|I*#ou
z*v<kyl2}4$GV5zdVox%6uxat}Y<1X1HYPQSN&O3E;OoiW*f_C8+(2e#C&%PE-+;aI
zWza6$4NLf$(AlgB-L0p&j6ttOaoJ_!%%eN_b(`w>vOo<CIp~PDW2WGiB@3~$VGEAc
zOUB4I`_RAR2o8)siDzPq@%^Za*jsT8GqtNwF8D4c9eIr5A77yI_+}hc@d*_sx8e7m
zF1&ZEAAdfVrWH@*>BUoJ3VEhZ_wQ@d)r)$xE?&q=*bO3?JTnS!8bT%ytmuA(Ee+4I
zr(=P`X#HVF%9%Bs6yk=Hoc?gSrQ=9x8y)DGj~xZ=v8FFmhmviU85zfzP_Bd_eH*7k
zjY4f3IZ>Gg*viqC0h07$NH>}<`Hn^E?=ji#C2Btr-jSO3@W`(!93C%5&l}~aTYdpQ
zhn>aEHwrPNJ|FFmokCfilX%P}57Q;`aMOxBw1_>4yN8`djg4n;>bxSH@aim%Y`cJm
z4wR$D<4PQH^aif)xsAQ=YSAyG9-V{V;FMRN@NrW+4iET?GmlEqYLcf3s;U$oqeZb@
zdgQd(n412W(diH?+OW%>+%`Fpys9fbvK&pVr6T&4!RXq>adf<YJjKkLK#h0ClZop%
z(#Zo#)bk+wqiz&Fc?9{o*;9GkP%4`|hz4HLBklL<l-DCq*}4+sSJ;LTg3dY0{R#SJ
z+{7XG%CWJd2!Ckj;Lwp-xGi8e+Qsa^P=WQ}?Xngp>MzByWnpOdI|MDNXW<ZSe@wmY
zhyT@2MZ@8KSYJI2*X^ExM)83dcqA0{>lfg@kxOy-rPa73bTj(tC*T^RWL$P_4_ZiM
z;m<F}a9v_P`aC|5_v@}=k<d4#m^{YS5l!g2;tO7K`-59wNt5kbW!e+0O##~kufz+X
zcN5O>6LcmwT@P9_bOK$u=|dJb{OQH#AZnDFOR;rfw9Pq!V!lPt<~QLK`)5AAbq=Mr
z<FlwP)R(l6jHd+$-Kq45J*{dtrQQ~8N+_43+Y5f8lyU<u78Cko0X`CCBF@}~Rc3S0
zuVoB2JvBj@=hEo5td5u3R>V85-p;pVdGQ){YP?$X1+iY5z1Z=t?zI_l3Ze%IiK5I9
z6qWq=EmF<b=H^w{aFK_BJ9=RzcXiGZ?nnC;PQNLME053M-lZPnJdFyu3sWz1+1^!L
zhTUWCoNhDs*QT9YGEovvo>PJ=9|yo32~)_>u!EXm?(lJ)CqzjEz}!y@VS>*F*gRwh
zxJaeL;d|L2nOOjVOUvQloLkVlu@1WKe}azSzfikZp2cctv7e^KY(SY6D=l?q)qjCq
z37f*2i-XwG%m_C8#!B||$p-eYXdA0)OJEcJZD%pZcCZy^w=-{@1a|(=R<`r$YBs?-
zf~Bg@V6pm)jcBoBuN3u}iK#T3#9qPt#*5%~bPv3H7y=XPjKJ{yb#9-76Q^;0Vr6=m
zEC19kpC6O_mETc60RN74#LXR(u*G*SUMgRWv&P5cRryr>=AD6C9gg6<hq<WbS%|L-
zg}j>P6;#?mxX<V|-g{Atv+mU641tpn8Tc8G_OxS!;2A3E6!f8ka^&Z$Ofl*jr2ljP
zb?r5v!5${`?Uor0G8Z@pB3qJ`A4Xf2I??UGk(7STl`<0DDL8KwNvn*e-qKNYW}iE~
zEpnytQX^^9k>T`whdl*9x1#hT=G512OwB*^XtLmm8Y*Z{VXtLqOK&gk*xZKKBi~_M
zT|KV(d>^aN-N1w~S8%|A^LVHF3~qmrgVRfn;NJxY@aUIxw1(YyFC-NM-I6i=;Z9s-
zv=e9P?!@6&cj8gmWc<^fg5jHY;k}cBuYPeR>fJtwYi}IIqd|F?omzlZq33bKgL0I5
zgXq5RHjexB7#*5kVq)}1d~&=4^}_m4dzLJ1EmtO`sakYj)qp;{A4HZnhf-svJ>`p>
z=}^unT6zLVO@AWoYxbtu^}ckrZW`^W^rxDr8PxW`pJqLuM(elw(z{1q6#ix$dDo1g
zzh|B4d6g}lcQYdgPM;i<)#&g&X_^uG6Xz7a#-G*qFtp(cswfxWiIs<NmVPSQsBS@r
zRgw69@-);=5aGcddpwvr2*>Maqvr|*Z28j14^(O6)&9NZ^S3qdNnua;Da#-5rT^XK
z_s+e;-;}t^_l&#Guhn_P*GE3*n;l;9PK)33`no^(kWoE+@(O9J+Np#|tF$oD*$9K1
zEHG=c;MXx5jRtQ#@$GFP|JE6fhMU%6=9PH7zBvu;b+Yipu3Ws^br!2bD>3QbT{QD;
zMEd*%x8?l9-=h>r!(NMCXA5kJ&6bpK(TP%ri0EUk7cKicgA~5ZrCURmklKvZ<gUAs
zHYdc=wTL*1k&dS$qvNQnV=MVY$IvpZ<uplWKGnaRMt53(o)kOK&T1oCP^>`Fr@o+v
z^)2*UnTOwB#ba2=WR(A{jX48u@N=F{<=bqBi4Ube5G8+I!fl#;j=MheJvZG?3B=Wd
zgqmgq{O3IZe)P_S%F+mUQM?9vGPc2zlASQ`>TX!`Xg{<_AB9T`PQs7=BFK7Q29F0-
zLgVF|&{HPlvII~1(Dr7yI^rvIG<O2`SAuz$$uT}tg=rtqV*bVYtnH2o%X)3W2G`rL
z-A5f6Gjw5-97nV68yq`-c^rHDZ6fpa_F{`Jc(Z5PlUZYkH_MNk#JqP*V9u);o8Twp
zamKi?1OCI9%N0wu^1vX*4bWrZL2B%Jnk>^P_yZ}~pJ0`3JxtqL0}roMfLmuFEM&*v
zS>8UlZI%RmE4M<1SeTU>&4b(({xDDIXU=4CP~z$aVG&L+SkVC-RBS;t*c!xdtl;e)
zYj_%J3%MQ+pl9s_*+#D5rtJZXG{%Fbt`E$$o(ZR?&4qDUOJJ$OdPoR}1JV5?aQL<t
z_V9<`rB5EjXP3a?iV9ete-nnRd<=I6yn&Vj-@&)*ADHUOvp*T?%xJkj`<XtN9sFU#
zB$qfdQL_j8ZRg2`82hnh8v<F6+&tzL8_DWVEM<4CR<MBjm8^8jO7`u~GB#+;Vm912
zj1~9=G1%bCTnCJ0GHacgq|gh=Nb0c*f_K~TrQpH1`xL(R3iE97QFuLeJFM`V3y*({
z1fd>-qS}|-&1c8BqWJ0D<UuW>NuwTl^u<jPSA@2U8=72ri@xQ2mCRmVXI(yD$cg#H
zn~(YE1t0kGWq<fqeK{fDtd6!42DtI28J2&t!~Kb_c;?brJe%o@wWCAu2`xeqtjEg>
z<MG~&6b!%&G+cZXV{Yf8+t&-|+{okSqxbNeM+1(z_6Y+GyV1->h6bNgq09SqNb`{i
znNG2y@{Zv|IiqQZ%LED%o+XDS2GA<sxirOJ@DHd(k%9Y4I=nZUZoZDD^*t-e>s}No
z1w@kf#ZcO7;7=BJC(=VxcZ%3xL#^&cG`Uil&Xsm!aZ!W7-KoTDSvk0NU=sFdFThK$
zTrqvO22Rpy;D<XL;*Y*#{599hVhR1@SLQ6u5$RbOatF_ba2l&qIIktAxI1n<m*e-G
zdusTV`?66242~;7Zq5KuIb#Bv&#ge$dj!Op3)rWvUa%}?CbU?Gfo<^$m|?U9R#k5o
zIAXiu>DL1gzv_hGZ!d)V`z}Gs`0H?-e*kBc1crrGE65xCfz3;0m}HR(3!k9Fp4gbM
zUEY>#aGE1K`_!F<_l{-O^^;k(^9;7XK7@5Agt5%-g=}}nQWoQ~oYn1F&K@*IF(2v0
z%tm1WJ0cmv4i22gtPf6LpKiLb5FyXev}Yjeexu3)*Y?5W>Sib(QVr6rg&^U#56T3d
zK%V?m$hvI>XM{P@iof?c^MU)h@<o$4*>_E%?R65O$GHaLtrB;|#RevP=dfw~q~fi7
zz{pJAQ2z{H+i;bqNB4P8@7H{4N*jOXiv-TSsEB)bEesqo5RXX=#brwzapcC)s599U
zl{@^=eCK>jAF>jwTehNO)K1*BdoSKyco=&H{g;nCk1e^C*iLuwSWP`DRDQ%8$Gb4h
zO@{h4RjGA`F4+pcX{%S(l-oIiZVwXC{9%*G=jSxq?ifN1xeF*!dMWituA;}&*3$EW
z^>p{)dRm#WmYP~tQaHbu^u6a%cI6B*Tk1&z%iO3`%9?(WKDEwLplvQ~$X}?%2Zu^g
zNHAjM<@Fe;?TOa~kB#HWcYO5M!+iPZk^GXqvEn1TgGGX3#VKqE;u1sCx!k#B+`K@c
z*L(bf^RSYIAGw;~xX&2Wt*jwxk2B2a<luPhWcWKh08Z^%0D03_g4(ssVEr=@&aF*@
zmQ|TB<7c*z^*jy#ojV8SLXLEI_f2@3^9cGSn_#=%7dYD74erI#?C@x1wohA|IawRA
z#Zl&LU5zb^Fn4C>LdP)u>EqdxXOo#_#dNl(CXmHF2xWIO=d)d37qDZe!&(2y1x)+t
zJZA4OoBgDjEUaV-^D`UIb_Th#<}7<wZ9Q1vehgq4Ve+io_%|#V{1W1ZR>Aod#gJf|
zCGas4fK`S=-K}vD*)s%wIVnR((g$v6*Hx}pw4XC+Sj?pw4dXhfQ*{62VbRMhT@fsk
zA5(qiOJ(QnNO4TSDY5>Yr{WKV{o?pmZGN|mCI4xYJAWi^GH+KM%3mJ3l241@#>Y-i
z;oGw_`QEtW{4SFs{z+Onf9U&7{?gp1e5m9*e)I2Nyy7`&ymCPm{SWEm?f)$B)Z*c2
z8qeX7W?zgrJ{QNmUWG54;xMHo4WF+#h(^w*Fj1upw<!uN0HMEGT<{JTFX%$UGFciM
ztU*fIM)YL4CDm4pAoDpuox`S3+3z4KiHxK}Hqk=1eiMaB#?$$X?PS!tldj)RqLXq-
z6p^r<6vo8S`pq#ExpXnTstlluf<}HtZWt~0HK1p)(j*@L5|dp8ZdG(D_LTVH9#=I~
zaL?tn44;cLu9b;QP9}1*E1q&n#j0>`j6F2Pd4Xbk7!2z857w^P0rh%&K~d!p9A29P
z%4-YY=g?9ZpH~5!r3jk+YasvhLl~k|2Okoe;Eu@$(0KU`W{ZDAY1Kct@>_~o3GXH&
zPMMt%m@~0^wb_>fJ=R!c#QIYPu{Wd5nf}?KY<HbCdvwZ<MXL>C2@=DZ{z@lSGi?Ne
zBO_Slq!Db3zZ28F=E#mEI<V`PY*}WI6`Q)zf<3i0WmcPw*sVBS_Rmj~x%Ud5xGXug
z$4!!PFT3E%-fv)0{1$#sXn@2OkHFdeHe4tn2&%sVd#{#(XUJKYRbBwU1%}<gQ@QYR
z_z5_->KIhbKMJ;e*`Pj7@DkV^gAoEl#JeR2^72o@D8(}nB~=VR($B-y3W0MYcqR8#
zUx)n#x8Xn2N1#6R1&k?ghU1T0!Fk0m_>kBKTH9rqbB`i>CFB4PPt#$w#zt)0S5xL*
zG?evDvSV|KhBI-c3o8g4&9-gj7}q_P?L0q$J>Toe?hCa`TJ$9Ldxj@FXEA|&dCOSN
z5f8R<o*R4T>BQ!&vSr!*=1fCh&`+AR+5T8%W^5=eWbb}MZS;HC`0*J84!#8wMHO(~
zzX%qsI1b0MGT~os3Y^u6hsU@Ma{U%V&P{>uqA&xTC4FGyfeD~d2B5?|AjoDk=*<}g
z*YAyjki}zQgEa@fvg6=zmnY=^n*t7cGhy_^P|({Q3C7(kVSmylxOpl8uAfc;8{d6`
zE_WCtPv^mng(aZeS`Gu9tH5}2Eu=WTg5)o)pta@?^oPl?t|cl=>h=IOex=}{o+=y{
z-(f6wx*NOf!dPdm7mI0|#zN)<F{9UWS($SLOCP+LiK3RWq_<1itFR@^;&~*yHfBEi
zUJ%6Mz5G~=;M?xebZ1a!%R0J^+5J1}Z0I3L=05WyOjvXewpNuwLH;4|@JN6S4s$_f
zy*nt3*Mn<s+qn4b3a(AGliQN&#+^F<ROI5TE!wrHrt-m_<6@6mN&e?{2mYuifbT8e
z#Q%A+n;#W$oNsbG$Im#)^I1P1@ZB?;_(xLT`Kk7Oyn4JmD$mitD6s(+Uol7b#SVD<
zjXU0Porose{qfM-`S@<pD$Lc}hCWuwnDlcWZr*+r4ZfejJ1&<{HR=X79C(DENNB9S
zx1o=^B>ftqM9pQ|)N#(3JQc0T;FJ@kE%cz17L#a2!E`FQI-AC5M$*cV<-+~HmTs-x
zKo1XXrfEyI2!5|kRL{lGcC%IVbmc-i6d6KQ!Bfb$+=HTj+X=ihBO3Twk;Z;&!vM91
zxT?GaBfa)u%b$f<(J}%tNCulyO8Mz`y!ebw|A~t}|0im*ci>X>lelAlFLKk@G;tOO
zBq1t73sl+$gXbnkDDo1))bz<PC?yc4ghxQBS2TzgY=y!l+u^{xG)T(HfN7#5uom)Q
zR9O)m&b<i3^>|Ryy$vf)K7su;P2dsR3XXR=VNR_iliaMp@)oEwy$!nTSE(^$|18+R
z@pdeJ`3N>~?kG0ww_t%+_GDW&_^_b{)7W_N40d*G0NWNH$kvAkGI%_TEw1usmqb(9
z@o8SH*<dVF=iOP@Do6G<Qs6h#8?nef4R%;fj<MC9;OyTF6;k&hvb+LZkDP{UHT&Vb
z&ki^q6b<w427+NDgW9F`@GZy)&TUqP;NZX9gN<)FW0i;8>noMqm@#L$daqn=PVPbO
zzFIn$5}3;Q`|spr>Jz!pn+e?c{sb;#<#sMfE{Qu|mdeFO@8vd+KETPVALY#3PI5u-
zOSp{ga!%W|iVHno%dw43+^a$%uNd0L`35L});ujZ8)6K5=U9WrRu@?PY&>*soB>yM
zMZg8y7#QWg9e%UD@Ds8DJPRN*q8zC37Cf=62c`F)VRdUSWFApq`Vrbf{bs@@p0!~Q
z6<pbgv*XzMHGWLmFqGZ#U(C90u3^XIwzAmTc(zM*2kQ_RNa7VqEYx);GvpH4yzQ|p
z#%m3GvNxPvTRffp5SU!8Ue;{%F>Urzt`~aVKZ2ekXW(^NyuhenP#G=(tA?a-_X6TY
zhM#)GO;a;?yZdi=wnqysjECc<I3N5yECN+`ZN!W|AxpGG$O}0g!b2N!FlT-N?vpOX
z%$N#X^$hWjZ4G)RKg6rO&yh=Q!U^05%rp3oSpz$<a$+A!c}r967J0!(qfCB%>SQ{4
z0L@sUPs_Irq!VjQsolkb7G1HVkTx5l+xC?0>PVYyok%Kc1TA0XOztJlw9nI-8r?@w
zN5XJgZZ}N$8#|hP-iqk71)Z=pr5{s`NYh%EEbnPhu%P+4RmqYylOV~G-xz571?6>{
zadBcD?n-@tQKPES?vNPwUAT-ZQqH5QMG>Ccd>SPV<l>5D$MN95Y}_~Q2o4{87~#z!
zEOj`H)n<aOU6GA7-;ZGk<zSP;DSSAx0M(wAV2yGa2EC|2a}UG?F1N7z#sf5a_Z(d_
zUJG7^Pgs}Ufug6q=zLR}jD$Snb~SafXcat-4Tj`VYf9QzhSHIEJ8IW)qUr!wx@SLz
zrfvjMG9OPP6+Ed%-AnMYc$1E;H_4lL(ez&vY5m!8<P^kFfb=LK|1g52s_e+ZWC-o=
z9Y|Yu44~i-%Ct@-O>ql;W7E}l*n9aY8phtlHmA!t?ZX+=%Fo6@TLr(OP>*W}`h8Z%
za$KN3A2%Az#AjXJxMR;)thzlKPba(J-K$P0_H;ylqha`B$S@oo<cL}YPMD|eg3a-x
zaJn?0Y}!OzZ{~|@Z_UE~ZS&AFcqx7iT8|qh#^LzbB-}k;U}|+7#Cz_!D28IpQ!B?^
z1vfC#uoi>DUZF|C7c|(?gEm8C>GX0{nx>^o*QEy0L3=AYw_!NVyE}?H{|Ix>7d{j>
zawcUznN9X<7Lfk4MbuXoMLu=QsZn7Cov>I&EqaTIdml#9r-CUY$&Z#l8c!t;TuEAB
zY32JG(fR}x%Gm!GV;?pNv+x_Z`F%cCPuqi%daH5h1TWlVZ;sP1N#Od(8~p5NDg4bP
z&b<En%i>za>6N1j!bMRkZKCc?j+|lg0!~gPiTktlDEBR)l)Jv}CU@gZ9p}IFGj~Di
zFZV7`4myL?As|m5Ci|Je=NLPPa&?7`d1GNwy|2I^41wI=i(#Gme~_P_08NY2;85Lu
z`2O!Wq<<=e{W+IG%B2cs6+VL33UA=+v>$LMu^&9ADzN9Cn#?B0kUjFXV8Lz<Z1z|;
zc4X367H;ChxLq@uSMVI><q^pqeT`yk21c_Xacfyz<2rWq=UR3uKbj@9MX|Gu;cQc8
zFuOG0mlYlW7I}C$8}wXYIF@L#yaY-1c=}ri#wxge`Lw{jNrjO~k&rXo4SN0v^=i^X
z&Q6@n8R#2w2`?N(4=#s@RR^o{y|#1sYJu@o*-*+?LM`7M`h`C=O9~zQ)Nt2BL0^y=
zf|m^)am%RD*tS!+W~`>8z55(=c(DXOS;Sz0Q9Np8Cga!SbbPBI^oRy|xTU5TZyA@P
zqHwM{8y}#rUn5T6_6ZG_cVf#<DPqHwXp)sMF9|aws5K+4P+KznF@mZhh5P8}crsh!
zL+%ItX<TOzE%2I4$ATBouU`@L=5r*O>O|7;c?-zm<{a|&3#2epKN=b_k!H>wO}nQI
zqy33yv}2kMWeBs9$%(&lNL3>?tK7iLd4>4*Y9>0a+=ijqp{Q_nH13cvMp!0^&ypYU
zk8)4)S3@`RO5tw2+QUxq)UIT4R!4E=JiC(~P7RAiKK13Ig`u6IUjcet^XlQ;4M}e<
zYVCY3-YtgvF>?nOm66W*Ngm~{-8jQ_NnGOkUtZ@lH`a3YeN9|i(s#~)^>ZKc6hKvY
z*PH(y2*FFNK(Emml;@5GFZF5QBR3y@&5eeON8(_8eJWH5oSq4Pb78gQc^Ei=2Ob{4
zrSv8+*J^`_^Cj6nKV`Pyk-#IYH)VM<>{z#r8;fuq&(yvB*o2|8*|Tj6*(}*;_I%1l
zW)-uI9pn;NcTFNQ`IyLl#3Zl}%eFC0|BqF9E@M~y=P)_PDJ*j7C^j&AC|eh(#Y7W&
zVSC+E2-Q0aQt>GO&u2h*haU7cA~)`w8;8kJW5%B_;WxD(;LG0C^KTLqarRMj%(NPf
zb9VUQA-!<q9oAuRT0C~|Nx^2e4`*FFgbNLF&~n8Yd{ui6ou-!K)NUUC*4@I>T|)gd
zrydP7oAH}wE1sJ76Fqu*F*r(^mi?zdGDlVE_aiMDtStB*J&b8nuo;b*Zb@^s?8s(^
zBP~DdOvByX$j5s$IaYYkomCwD7X~E18EEfij(k)_q`h@C6=}OsdEE$_{K|pcM_ZGg
zia8l98%VXA1W##@8qF}1r?|JmeDiucTB^Up4d0&Q<V|<b>4_Mlq{}c?zW}@RPoTN{
zLHsIk<&sXOptH|*ta-2v)4ez0*<I_<GAJ6KA6$WjY&j~8TaN1KE3ncc8V!D~MVGD(
zczAy-9`Q=R6B#>kZ%i7RbfsgV)<Lv>a16iOoyG*Gv$(Y7GCt)9y{6nnFO}zbcT+Q#
z37$=-g+18+S(+w(QKEDQA#ZTnfMh2Prm=smsP2p-dAhn$U>rwNgnMH7B_ERa68z@h
zXOY{6U>b<C$@Xw4g?^t+*{6f)4b7sciPK1SiZ}h~VWhmxjkf4J(1Ct4l3b@pD=U=g
zv6PV6Q}~Pt4~6+&b|o6+oxz2&2hieKBHFq{p;y6F?CcncU)oHtXp<5)J#ORs)E@EU
zeJ=7AHrc%6<ej`<aTKrha|%D_!3cix1!I1hxiW7W(j{Kj@Jf7B`?feas$5(-r%*g{
z{R#0K|3hNkoJ_H-@jfx6ri+(f-zOe)WWTtk?~wRa-Epzzz<lw=>T_b(7gxmM;A-)k
zfG6S=EzRO^%?@#tgcPs-S($Hprpu3bWyb%|bL8jdh<KADzI>F`Jbu&i)%*va1b)J|
z-Mr+5BYg7J0zSm@3P0BHE?;o<75~wtgTEOngLPsJv<NZ5@@e)srOE?C>!zYr=>j~m
z<v$_EwG+*2GqKk?4}%*np!A<AoOGlP3+le0#48Efc~XVk#~aY|b3>_8$Tpgs7)Nhj
zOs9q8!{}hjDhe7LOCcTG$@5Dpg<aZ9AA2$=Hhe!FEXt(7ymSikNTc>$iIi5fp3Ix)
zk;(~ATHRtt*U~kqTjm=+DJ{oriyheZYdGGpyTZR&y+xeya2A(u`iUEU+7`-WLP2#-
z0+gOT0E(6Q&{cgIDim%)*5z9GDb)yZ1Kt6z@fBw3{e+xxf554@4~)trS?_gemYXcg
z7HZ0~%GnBR-YP}5+FyyCkW*%Ey9BQCH)Xbas0wQsqrylq+cgT_mdabotbeI8V?9dD
zdaV+Re67feMk}(?R0ZbnOrAZ|lV@WB<e2h)Stfoi!^B21EO4PTyL45Gy*89$XSYkT
z1_?>_F<F8+43%K#PWMBlbwB7m?Smhu`#}FxAILoHgIi|8?@si?X$ygwlP19u6(yNC
zOOm~CmtwhJq?ou!U}|iXVR^G;*{9KREZSP0nHwvxs{<6-OI0PNF8mL7dX!o8XBD>a
zp(>LrP-7R?sk0U*4L10t1{<_eVBCJyWYT^DOD{`{aaCHZ^05}vzM;iFXK1lWleF0J
zSDNgWz}oFRufcBpRA-LH>g+#9HRkN7%A5zOuq_h8F{%^T(5DnwShPG_;~~d<lx3Oa
zYiTz0niLy%Qj$&1mSE?n^uytu{~-6rU&!9x15JK^V9c~`&`9nA=YO3bU(^XJ4s=2z
z-wB>Wx?uFJE_j^R4VSL{0Snc?@I_!<E%)t%+JO>G+FCe%UV?74S(<G}88%B(j$MzE
zXZ%A2rsk@|;FvP2lo7m=3)EO*xjIws*I)}rXtAPc+DvNJ0Cstd4x1vS%Xa7LvK(VQ
zrn_8^b*AgFx@0}}euf_V+NR6q&DCWgCv@1c@&RnmX>De?N;oF^n(T3oI-97i#=4fP
zuqRiPSnFQ}7UC+;Mn}uC#PiZju1Ath^^;&TR{ev4%X?tN(JnAj5ZGDgJD~7b8)QHK
z4u6BbL5|&5xaIc+`fjzt_<gM)ccB$*EWd!xk1tT9DClErzk|MG8w9y_z`&iq;FU=i
zWOV(3Le+oJYcIh<ze}>4Rnn}uSeCh*lxH@l71`esWma`rmHAy$XQr1m+4>x978xTj
zz@7BiQz73s%EORx+l*L9`argBsWDSl5c;@q6K1{Hgq`#=VHaK*vj~A7^?k@dcIurW
zlMq;q8}s#8@?{+seL$O8PZesp4+5JfT!p1RQe-_N<=KXVGOSoyik;}{17FP^xI6DR
zOlxn0x_e(iv-cCM-u@m$(JipI>NRZM_6m%O8sXH$2G~3O1!ULO!w;;7!R9Z(xAO%I
zc5j4+&o9AG?lp9zG{g1v?_f&xM>w|n3pj230k7+RLUp{LGspZB+H*;EMOB7Ly_93)
zt|_wr@>N*hL3Ng#q{UoT=&<c$^#y;MAv>97%mO+Fu}Tv&Hc-)mDdi7gXFCL@RI??U
z5@p3Yc3CmI306!x&5~^q`uZzREZEn2Gd5+DDeJsx%<_0cwq}hUOKa0+w?KnUk5*y9
z=?bi}Sh%liC0L$n54<VsfYvi#!1~`iIC-rJbbr-DU(pkI_Wc2j;_rZ!*)14hSOwyI
zf)NjR7?CW7n~jyQnJVF+yBJKz^6;Y`q2}*(2oPp>!(P?^W!wY5hqdrx=QHT8Y=GNK
z-auvY2UxEE4OXcB0<EyWa6ovD{M;tXE*(*1VZ#0Gqp8Ib0|j=Nz=+JLF=0dN%-DiU
zL)qe4HtfJDd)A%l$SSl)u(RqT+0P9wEOwGBt6%2I4!(6^e@~8N!!C|syL5)LgAeT)
z{;+19i9^`Hlcs{l&xlDq)nW5AHP{S++4Wt38)Urh1=pqRfB_$1F*U+I{t>i<*FX}_
zL&=NF@V4R{6fP)${<=JPq$6Y?4UfS5mMr+OXg~O$$q+b^`{4SxeK0d)AD9T4<n@+9
z#(Y5*jPy7Rz88+dtg0MHT5%fo3R=&?eWhTpQUQG?2v_gkf@;lLxbmYO)E2bB#f4v?
zpsN!`2@J?7cjQ>o4HY))qZYenZNLU^8pPD@4`HebcI=3b6Pw=X%IwE@Fmpl6X`eQc
zIaPbHE3<r<>BlK7e6BCcES|z9-I~lU6-;7bbH_9DP7zDn>Be~1;p~EqHFHZfW%qaL
zv2-6bwo+1-c^>Y9@RRT1K+sbd`u+y2St9H>kvs*8SF#}cP%0SZZG+m}6@V^t;LT@W
zFwSA1Kh_1d721I#T0mcz2`rB>fFU1sfMsdJuJu}QdbJivZqbHs$vTj>S08Sq3<Q&P
zgMpuF3F8bMpy0(w@W>Fs+Ub*^*~A~@<b;{9ZWQFr-2jb$5+E-+4OH{?!<ek&FgvIa
zCbnOK0gG?Iftp$<(0L6Z{@>w4Y#(^slV@+MHJHs%L-wM<oLv*n`I%3`wIDf`{r)zY
zO^lhz)`iVsuOcIv->7A5)^4E}GhD}>9$3#(YS%Hz6RX+kf6JK6?+E5z8p85prZR=&
zjD@B-F|N>z%@5OJATUu)&ELW3aW~=h_tS7`c`8^pMZj1ESGY1;1^hPM<>J~CIhi5q
z+&TYVkNl-O#a2<q{JDr_d`9UZUSjH1{;d8Be(L^T0t-YQTfDWg;*SY-&auG<r$%Da
z9}xT!K6rXYAkI7%jxRT^!cw`dIKOy1-kr1yFU;SMsnW+#-8~;oR7!DA;x%k5x`oC&
zpJ1Kg8?=o4hNTPt;wlwc>bayss|yB@b;Cd!IC2QBJZVp#)Lm$gzle@{O{5Dqr%>wt
z8RWe~=+);7`~_jJ&yl`xdKM8uTV%s2``$dNyCNtq%`@ot0v}qlM&LzGccqi#ZK-O%
z3DpX9%#<xMWbW_-OU<6+b$c;hPdkmXm!+fI-OZ>Y8H`Qq-LYG5AjVylM7xNm{H3%4
z{@tcTUg|$D{!)oLAGxAJtnpnWR;d4X%{R2sqeebTWcaZ}6rS568eyu)CC?hf$<24>
z)N>|rOIOe4wp*^`0%YSjGpAIp{px<s<;Dpvd0{bUQ&Yh$k-5d0j(NtZ?s><7*>BD@
zMH(!<RH3~|4_fA%!-Y@7AUDMWlEQu9)vnoa&T={2JrxV?8Yz%IZ$BjE=RjHaSr{;1
z42#<CgV%*7kiXCd`ojA!bd(Bf9-zloZZTuq!yQ;=;V9;A@5we^@@ESLf5G_sOWFIP
zb!@D0ESo8rz{+lIXKUPcvNz^CS=YktEaG<@`+RaEbM{!yCh5&#k=G`(jkjIdsb(`K
zKCa4+4{ir3Pl4Gs=LBr0|KNy?3rvb`<IYxW<@E1O6J4;D;+vkO^RqrT@|TaO;q-c2
zTx2j2MfXBca@K0>Pm0I<;#6EUCKGD|vvJAblQ`jg5%v!%L%F!Cc<a-3tP8s%@IM}5
zRpkrZSJI59AAiO@wjJnE-h<IsBx#Mk9EF}!qL*XTN$svSt(m4zzpDn)SN*{>jvGQb
zR@PK1Xk9T<j#N|YL=Q|xQt?X{vg~ywpH*&TI>L=cjBzE6l#!HbHiDijI#QtE6Ab)g
zNz2X6>CS6oikP5JL!-1vDN2Rr%$6fPe+k-O^9#?6`;3k*P1scN1n0fIjmHE8lEs2@
z%(!<B-J}aJMIjGwH69gqx*Wo+H~aCDVg_cm?ZsES_u#~q-S|NGG^Osrr7!oQ!h?O-
zHfKL7rX9qlS=pF*^#s1Satg1{D8kaDQnU-Mz}#v?kB2pwy801{N*nO%&UbjV<2&B_
z{0GBJrRYSV0<Ec6qi6>mI(poQEC!j;zynqk)!{(5^hQ#hkgd-50h%&!0zG&2qTQQ)
zX!Ctv(pB~&xj}yPsoR&X?(w0HkCUiXaXej97Ey?@D``6nql}|N=|ZwGnF_f`&)rHC
z*DpaUhW!xwu9w&ya~Ef~U%}j%LNqkbM#bLUs3)I*;qlQ}J83R@Px8fmksOXnbVAz%
zOY9zNf-g?!;_5gJTvDTqcY_pg>L5AXAtQ_5yJYZ7t1RAoB#&jeO1M2(4Igx9;i;wi
zc&yq4^W}$Px3dFw&2mMn7={B*`rwGKfp|YO5??5<#nyy4WG*TAI4=Y53deqdpk2m4
zyoj?-T*s^7wU}i38qd{#N7J-^9DPKATs~@&j4;!EP&|Zuq#dbf>nPgQJDx<|Q^|i=
z5dB^hMk+;1XxHggWT3E~UT@k!rz<y7*xn74@^l@|*s_xHau<^Q`q|_?aVjaT1{xdX
zNT2csQBR5*Jy!mUqiSE^<Zl&NeCsg!PuPlMCQZh(rAC<A_J;RpO6Rrb8}Q}zFDv_=
zo)I}@xO0B*lDHkKOS!40b(}_WH`kh@EIhXjAYqXuICwk5$lCzZb*F&BoFLE;GRd?l
z8de<M3Sl|hLE>&27|qOt;Zw3fEItViWhHRir5qA{uS2cmeHcBn9<+q~LsLr|+|loY
zbse${j8)mz_yO#&Fqd?^XU=kyY*~$~P@j~KV#S{sJCi$!J-h159?Q&NL4JWOa8(G~
zA_`>^nW1b>$ZXaWAH>4cW->p;scfz=2OU)_Vwye9Y>~GO+a@uH-3`%Zg<0~fsj&-`
zb(@8{`7XrIy9AeC<UsJHJ;2Mx3jV11a8-UH+#hQXTZZa^c9JwajCsdRGOgx%PZe?o
z#Ti`k^H{DVYc8j|aV)o-x8{7C25@|+G<W61XVHd|N1|XivFKu9iRjJF9MOWXgCe)a
zbdl}JT_W$TsiHXNR8hd8G*R{LJtEKE4AIXAheQwmoe()C7KpqTmWi;C7e&v#C-Tf_
z5DlE)D!S49SCo2Kp34}g#Z~kfbBEsBa38eYxdZu=IG5@m&T3y2CzBn^$^1^?&MwX3
zUK*d`=G$K60x#d>7JaJYbU%OLlzvHomx?NQ1sOutA1hd?<_@)2y&=wO4rp#!4O7=7
z!q~~_@Hyl-oEM*kniPZ)4UZvF$eLMs^@8$sMfS^8m#M~@Gmn(v?6nA3@v5n8>!&%)
z+J8Cg_u9-Bo=Rl;Eh)@ddM}%DE`u#k-_Pvl>}R)L?PJkByI95b9jv-;6Z?87lD!ms
z9J`f-8T|=8w&!p+_$J(dAcegUesLVgCBEPU#aNW3XT?WHKILh(IqsP@3qPOThVQd7
zaf8iitUPrIZG<f2_{p`nzo7x!&E8?H*H?V7;wM_3|AVeW`?058l1B7NQ!+107skj_
z>_!Dr+NMZPrzz3rb|vZwSEf}Z%Cz&5G6e{qrgO@qy;_;x8!8hkR3cqVC7QNZk($3M
z(D^Y6bTVF^4phm}G$}bs;$*2wcz4%cmnL3Snm){zq5u-uX!eq{<BS9)kCdRRr}}ZG
zLO<5-?Zfi%eduh~hl;j+czA9fe&L0mll!q-LV`Z6l%Ti2BuFAvl59pw3Hq-TttpqL
z-MeMzY_z}<oGVApGv#TPp91~!Riw+lO4Kbd4F`LwP~s?6T4A9^HUh^|>5)3E*`-0B
zT{TJLt|o~mXp!tGEpl%a_RMK$led93t&<YCkN33b(mE|#Bc(-)R%+50(x8fNb^5BS
zPHiS?v`Jf)ws$F$>jNcvbx4uk%u}FJb9t)%AWPedWoY<DX_E1mqJOTE^h024{#ew9
z?I(KCPVp};$@zmFE4wjyeHX4P@5KK`c4Fg?-?;G8Z;T$)i7zucQDagUD!X-K-~xdO
zS<{2x7WAT-b03nS1i3g#Qp6l7!P_EDr@zS1c27CFR4g$2j1<WwRf&%NQ>NWZRmtwL
z8f~=Kpy>ZJNwQRnOrB^{L;V1X;&o_Zye?S})}s;o^{DH$9wqha(e73~nsP>u&bjH)
z^n<#z@tzKu3cl*bQf+#(RExe#X_Ch#bz1yVl|roq-6}$fMrSEdVYS@<xuJV)q)Bp#
zB+XsbkFQ7eVvO}4jPUQofmeRw)CKL>>i+|E_k6=~Mqh=TY%8`{wPIb#XMC6Z8D~^}
z#xE0E@vHe4G@kVp?=*bF>a#y^@#A*f#r?uvKRa<$tH1*_`G=AdCFrw`kZb%aP5QrN
zsa(+R1C*7>W3UPZxeBb3Ng6c6SBuie4WL(pb?JAD9_@=YpzXg5sn%^E-SRZ1(F0BB
z;CT~LmKj9HGzQW9XC}02nhEJ88Vg$RKyoxRq5*LRG`&QR_&gnwjuL7WWlj2&tVTOK
zlqttskzx<a(dci|bi`AVdKUb{1(Ds@n)4IM;s@US-HL}yKH|DlZ*j%GHy9-_T_&7u
z#Kw0oaCllhCZ4IoMWY0kCs&8A6?K?)vL5G2H{i3{Ml4ho_Gq4egB!$ev2oZ(43PYS
z{zCnma$eX?nAnXkPy9psSV^jzEJME?<mtD$k}wxjB?B7`dSa(d$1HT|tbzd*KQyAJ
zD@;iHwJCXMn-eEBgy!W8rNmZC+WOdvru$n{>_Tf{_k}gJjuGZ?y+g@l$`JbKWKK`Y
zOew3;m<|cMI}eT3qj`t5Dde^~aSh5;+$c{?4bpU_rXLT>cjLAlZRi~G8Rhr2;G;1w
zQ8xTJKGb}KlcwCmGe$MIGqwtKwh+$L;W2b#C2rHWhC8CK;$4BqGr#L9I_OqnPn8%q
zN)iU&zJZR0w{T<o9o*yd5EHDPqFUSw44?TLwT`~W+rqVB|KCqM@UI7#Et4eacv;e{
zP^3TdYV;;j;M3mKr7RmG`m}BkL5?{YW?RyyS+*1^cA)z-oX!aRE3E(*im7p>iTmAX
z??pGdXyQgq_g!ew4dFW(C;F4+Kta20$e>%`3VbxBbJ0dLrBsIoiPfo3$me60G<jJ5
z#kd7Ouvz{czH)qlO}`&t;NqJ&=-@SM+*O82e#NNRd<sk81Xe9Og6a`jIMyr^=NwN*
zwT3<T?e=b@CA+cs@@|}3v<F{~Psd?fGVr00HT`z`5YBxe?9YtP#gLkO)W|PETl0(P
zKI$4C|8@gsd)&h^t7rIDU<s7n{)8&)e_~WgAD(xTr7j`&^fOtLtbXcI_$m|H`pbf>
z7TMCHvf;$@uH?JagVr7xE7Z=O6w&HUr|wUoCB;)oVuc@F{x_B4e0<3#U^3k{_oRGc
zWGKu>PBe|6fYY{gPnf-3NirZ_;M;_T$<e8jKlonmBR*1mhHW2j;E?JIxI`>?+lAVB
z$;f0h{BJYzEsM}Ta~8&}pNM%;ZuoD89k!{PVgDurytqjVr?;!%6kY-I@5`dCoD9az
zlt!;YX_W7g!6B~l*buCQTJzK}V7xY7mN&qXqCu$SW{LIZhM}*iJ6_s54g<8N;@tBg
zcw_5g9JD6}$8Jo(LE&jARy}}g<4@r3+9GW0FULbh)i}WJDV}nDi;LM$!51J!Ap-L^
zDq{dGS}yE=JZeQ_R7X(iK@Z9?oJ7w;1;5YG*%UD>f@a$+qkC1Wsiq)?(o#3lBa2NG
z&26Akel2~?TTTrs5mf0EMAMc|COwle)PBvDRtRj4&h3g6D%p-+KOf@Yuyfd)pN^H%
z%h6wVG!8qUg8r|o_>JYO`0*<ri_5KddaSwHE7~+_9(PLe2q&F#gPT3?Bezvu2GC9$
zE=?W`B?S&p7B?C`%1?rZ#WO(S={(R|z6?@lZ-8ZQ;^E87WcV{Y9WH%62o450F#CD|
z7<OC$>GPEUay2l%>oKg}(FA8Nw?b`V7xb@{V!bOA*`PBT?2xWLGcFj!7EZHd?|%!s
zR5rP=;Ws_lv%>LAT46HtF7aa<SIuPGErOW%NC^9{Y&N?!Wj0fu8O)4t%wk1Hr?H$~
zZ?>R+Eb9`y&faCiSi=hoHY~w_ZEI6yZvv#4TEjQ!yjTa-JFkQ6juMD`b{N8vlOc58
zS`eoN!mm^jJYtqGZ-*AtJ4t}4-5c(UR2AovQpn+={apIE1kOKwF}EOiDtE`<oePz)
z<g9<_aWdDGxmGnPZj;MzQL9I*Xv2*bk>8>wQN^p5qWrh7L;;@7BAJ#CqJ{(CMSo{?
zi-MG;xbQCu+}4L0oIh{C4XZZieswr-T7jdvG-WSN-!hOJQL~5()!4}8r|;l$v(mZz
z^GCV*u0qai=M`>C+#SwZ=_U7R!Vk{UQ3@ogRN>!xL-@4NO5hv1!ku-K;P8uJP?cB#
zs!4J1{>Ux}d2|>G#}vS?Ulp)c{VpUNdj+N!+aa}BTF6zXGs9vd_V11r+r8U`&1)FX
z>^J!{4d*asP`r}e*|de_?M-9~@+nMX>TafBkj@kh_pvaYbS8Sgi#^|##3E$lm_)!T
z_HTa(dzL+pN&DEaS^o(;A#Qzx3zM!vY)~3>nT!Lsu6NvaO$*NM#T~JB(;5EHP$d*^
zcgKf^7T}PW1iUMsiQBH_V$`E^IBL^1l=xPSfxfkP{AN8)Ui}8g3A;Wfz50g!H-8F@
zpFeokw+}56Bq>d($Iji7r7IWYNqLJR&9oGl(q~nuPFIa&W~-Ce77g0DNt4oNYLSP6
zHf`9aO$$4<Dcn)ugR=p2!fF7``zX|2TeK<uyB0}}(xPu+n)Gq02K^2Y>NXoSQu(Mt
zIeV4K(?N->NP%K~<td>-mVy_{kbJ)sg&&h79bXBOG48{IxBlYc6Mt~%xh|~e`i-ue
ze&HwhiCZQKnW@Zn1gm!JmuknS0v}wwrybe24qP<mC*Iuf3)l7j#=(3ScJhC)@b6#T
zxV#TFk|n71rzBZKOVblcS-N#hj*=%SP*}Gj%_vl+p#qa*p`tpiFVvvjA}xAUDP$Q1
z_R#ocy40{wsIT_v(~w05R3-3uG`AU&CvQkostu_+!;ps97*g4G13Fx&PfdsPC@?^m
zirx*Nk)GPr7OzS3j;qs(998n)qfARzDw3I(JUup*r8EDeDC4~ZO}q9FN4)rh(``F(
z+|>@u-}3{lOTXggA+5Ol$4C62{Q>`FzC*>Bx0rvm1)t1s!7oc%@cQ!>Je~Izmpyrh
zE9QT|be~T+A-xqh5Br8^P22F+{GVv@UEo4v58`8?KHn`#o%f|_>tH!@NmL-UUrH3e
zNR<x16l!BHEnx@T0NV9Smqwc#kd%WFIj9<wVTB3Jw=pHT;K6j7nNdlj8Eq4^n)5mW
zBmA5h4d@t5i(Z=2x>bW{@I_<7A|vXbV?bq3bg58Vs8_8tsn<x2P6$kxoEmx3+%H2}
zLY;Z)XfFmG6!!8xZNrbDUvMn@fDd;z;{cCWC?D|xZRDQgd5b5QccT^+-akNz<onoB
zdJpsF-ov2X_wYU3M~r@e8s@cFI`uJ*>U@gdwd;{T*(mH$e~l~k-eK$aPq@|kJBsKh
zjz9Yck9_IJWEW{l%aEfxib@o=Tb1@33w=c40P=R!r`v*#)7@@DZ}rSbRc;6soVBF)
z@;2lmWk=W3?df`n1AX@yMxP>v(ZOF16yIr2JxlFqY@iLLktMx2XF)~72h-(g#<alH
zfP6{@&=nOS-zek{H^j=3-DOFE1=NGtPug%p|3?fz_!<XXsKcJ%T3mkQHnwlQfm@Wt
z_-1ScDp_5`sH^AEtG5LIeJa9nTMKdJwE{emU4ZWf6=EP1A=g`s8q>~U%$N%pbnOye
ze{cmGR`GZ*w+eFwEzhE;7PB|k;rS;`IH2GIdj9>66H)Nj$4F4W(BJhrD$(7s>J+_n
z0F5|iKw-5e6!62GR<~Nw=n{L{GsKCsM!C?jr|u-(G=^$8jx62-^;~82<{~52+dzZc
zMRZ}<7)nWXqeLBNGHi07J$+X6E!~XDD}+7O=>uq`hbnEXmnD0Ne>m&#cT6jJgV*Lf
z!Iay=zG&I2=xBZp58ItWZ_8|4KOhtP+S72z)g3r_aUAM=-iV3$Yf!U)Ichg9!6Ms5
z=+PXB;%|{CIbjhtzFdM_@p7DaZZ+Ds{D-;6W3lZ+0&3k%!p<?fal*7r94~tWi)QEI
z=8!_<Wy^5v+)DIZdJ9eL9%D(4z-zq!8HW{gBIrxeOB+Rckf1?d4fSbT(;&KYO~?}-
z9YzNhy3&tM5oHaXNW<^>(DRDvw381Y<Khr1nK6eJr_H5ZE_2CqR48fg38KluKD+aR
ze>g*N0yS+MO&VVv>F}W;BzwnzxU0fmh5|{-JoE*R9)F50C1RBRdj|2$e!N|qfbZHD
zp*)+6-5VTn>{fj|Autd}#=PN`EP3AK#|i%MlAV0!vT%O$7Z3i~(SiJk+x_AW-v{D)
zK3AMEb&L32ASa%srzozDEUVo1XF_G{r#aV3EK|nxn~d~$RhR1VwBd?}cENj(Wk&L%
ztU^PP&wG23{U9bfoj*f#_U<B)|AWmU?Vcpj9X?Z(5|ksd{d`uGyH_mAT>n7yh+d28
z4t9u!?U&}hJyqk9%#FAgN3FOuk*=I_wkKD$D2O}yGm85@avSF%mBu~mImi`@^11gv
zE^`{rx49%|Aq!{H&IM@6zy`4fTs&_Ar&SyT50nTNCr=ah9!G%Rx=m1#o(u<#v!GXC
z7J55fhJf!i0&n#t=#6QIG2PN^pfJym^fG3DN7%ASuiTldxfi?pIFJ?REn=FZVpu?0
zJPQa;X77jXVLqi9Y;(c^R^gY$`X29R*>BSszcrO@ydTfbjEH7>Cxn`)NyLJGm@)ku
zaxBREIrM~|fZX|WAvi)B94B~i=carRHwYa1C`S`vAL9%>JUR}it~h{OjS6r<!WB&U
zRD%m+pW)aoZ!k%%72N|nFhXFkRUhuh|1oslVLkm(98Y^FZ7uCmsWe1V-E)kP2pN^V
zviHs`BpD5qQ6YO|L`La*&$0JxC?r4GgwPbfkLU4t9{=#Y-S55U^M1e2>wPFjnIpET
z@|&^h>{_D1+Krlg<f#^KoUYARZ)mf!$oHImsm(eEgeKENn~P*EzGtn)zb0z(-E<AU
zCHCIop&C!9RAt{!D!i^vnd{V*`IB`k-XL<c^WXd>6pXt-?LU-R-b8w(jdW32Xhh>1
z=s;aPWpF*YU8|=*f9uJ2UIVRe*GTr_IrQGFncQRk(CfD?l(_vLSzJ=$5W!HL_(Ykb
z8dbQ&Q;i4BQD>t<4fYhBp$TKPx%8aa=~L6?q;Sy#vZW30m-WT>#DMeO8}gwtBmO1)
zr0Jtg*zTJNuZcG0m~2xvx@5}3kDBtPS*DyLxcc@>OxQ<Z%*ii|cw>nnw>n|Kp%e5)
zZ-pM;UZcyKe(SJdlr~$O)#MqP8hmGz8b80F!tE@Txoo2nn_2y(kD<*}bF6_vy4TSd
z(_i#k_!NfXENk518=bbOp+CdF(){W#q{LrHx#kNEnf{dq`qxm2&@uX6{!SUQYsq)|
zFETk%NBN$Or17np7Jm>rkG9~6T~y}uSXKTnOr2kM(B#EN+T8V@4$l%D_NI^8aP2Vz
zPF^VH12>`lUp3{TZf5Mb*_@Z>S+L@eB@dfq#qi0BoqXDHY(P6sZ`F=(BnS@L9ZNoS
z--2DYnzNU+8C%UaWt$9Rc1bbhD-%Vxig-`fiyZdwa4lX}q0VKKRCz)}E57ahkNWLy
zqALG7QZ}g-drCEAllzGVE_qMu_g2$ExBqCf@b&`dSJDf?@+*sZL0?r~P!GKqv|!x}
z%9<jWe&;Jmb*7mAlK!JrI&W#u*Z0)M<1?MRUPG_)YN_kDIy$#N=;zi-JZ6tF&+V$l
zTi=V06LC+zoT|(5-umqG%aD5?GvUmBW}NfTf@3|}aodqLJY}#QZ_p4s_wyY2^Cl-A
zKERo$o^j^=;<s6tGpDa|;%i}!?0MdvyOS*kinDF=BjE#lFk|nlCLAa9sS{uI`1Md7
z?r~a!_iL(h_i0KDVtzYaT}xU*H;A!+NAj>L`rT4NpKVL&_>ISu_Uk^aIC+PZ>TlBa
zhu7(@|210ZbCn(xUZLGjuTbcctE7758Y#x!Al!S4JSX0zhNBPY#jGdv=u|1qo+>n*
zj4I0N{Ek+`7n*RYmUNd3cCMH~lhwrcRcIwHcXfE}-8S5+*ofmQ+VbV6mfZ8K4ey)o
zz;kPy`GC6{-!k>!$yptF*%@#C*3*|=`gP)rOPyFs?8F`Oe7VZchvy6S$@O6#JWR!n
zm0g@Uwb+iGEycaj#*Fhtw@lVhU7>Gk@bxfd4nN;W8_d7a(5h<M=<uA**FUDtGjCHu
z3e(PM1=O?EIXXZ5Bz>B7l*~d7lHK!tRO7aXu6t+Ew$Hn%!;sxHPwa4Ru@l_jm06U#
zd=Dv^<xuf}gS5itDCH;S(njHPh1gvr3|EkNS(0MfJvu(LnA$&nL3!nGDRkO5(h}FA
zR9Tr*R%q}lXI)kiKmQ>WX58nlHM^g8<iqRT_=>9+>#p_Vx@7^}|93F!JnhbX8hY`J
zzI}LoZePCCCY001_T>>7z4>*X;GYx#cevb*uRZkRo`xMc@KAe}&)9Iv$hI8)K##42
z$9SqsGj*B&iAu48Y98F7{(+b2Sk6gWV3;HH)pYvqzKIH-#nUCnh15DHhKh`$Y16oH
zs-GJ|Asr-&S<sbI{ru=bqz?_a<3&f8c#-B%ZwiR;rGlxQ>11jEmEMqOrA7$F4CzmY
zP7kG2yD`G^oJu<57LuNQ90mI%lKF>Za_qN*x=h$d!T!hT`{R6?(}k&Q)_pp%yn?JI
ze4v4L_2d+#!XMY^aGIVm%kQkXZ;KNz?beY8to7&r&LSJ{3FU1@5xnAAG#@!Njvo!5
z%zKij^A_`298I(M?1-7XrFbeYaGA*6r;p^9HwN>gCB0eWL4W|Qd+;x^=5zynJ~Fly
zPy6(imKxom_vxod%1@_fo~!8U{vkB@kq5olt4&VNOXTfJS#s>8A+lZ8Pet|;N5zss
zbwS-#6~Xtnn@Pvw!=!8Z%cM2ywo3aC9hMgDE|8XAx+l4XS4xKte3SaFRD!9YT5vqV
z5N73D!lMmNp!%sJ?5YWX>!(5>xmN^e-Wm%N!)Jreua(g6{d%ZqPJx!IyWm#8gYZ22
zG_<~T85$nlhFM$&7qj2N$!T>kAXNqHN4Lfy=_dHl%?3lYUD3+Q7p)-(pZD*L+Qx%$
zb!0S_J{ynC{ib30#5vfZbOFv7z8KSvEk^a6g{bE|7w`E`!+-T-Q9W}gS}o{<-K)Cd
z&Ay^1&(Z=*3$$>7>Q5N5>?!;mln*yw?SSgS<?z0=pWqYNK#28M>HB~Cr8_=7r6q-#
z!Df|ZMM;Be6-mqbi`~{uvhCB8^4Z$^@`S`s^1CEu>Za9(OzSM@?iy!WTIEgiItS6=
z6Md-7<RPTLeyr#wnn`=-#nQTNYiZ}vjr1jXD|KqxO>=%8phxRYQgXpXI<xaC<-0y4
z=h>puX~qYN6&`_CcV$kvrNvFV3^?MXIfwqV<EEi*Jfz5n3$?omc3cmhN1?p@;UL~>
z6v;KiM)9r*<9LGlM0Pct#Iq($<YRBfvHGS_tTuT#KTHYdpMD{HE~OiHd)tw1SBSo+
z9C7~2(&Bj|8)=_e6}jHMN#O;j$<}N)^-x_;rB+kPXkKqpZ*ZZQExL5n@RK}tnnGT5
zHbY)sJ55g9>?zZsTE+Co+Z6GQDvHyA(*qxMGzd0UTN6C|-i2WImiNI|L$oDzPa7%3
z+*b;o7$V8zqokT~Go&R)S4q)|4bm&!ZBo#G+0xCZW76TY^HS*XtJ2*okENlFRZ`rX
zA5z)DR^T3~1Kw{;z-y!()RcPwFX#pbLPDX(^k}I4Hyw63tO97>0IL1BgW-;S5c%~a
zbRAU$@9OSB?9G?(^w~Gi6Zz2kw>qft*c77&h|b`Co_H!Z0F?#^)?;G?*3KG>G-?KB
z#fW=p%W8bPZY`ROT92<P60zHZL{v9kkItEEut&vmObDHg>wb*Jpy)8Ha`eY{_4epD
zPZu-cJ9PYf1BPwg15YO`1Q%;>SmOFt(zl!}*{*#QRH<(*Kbf;nE;arvTg)}34sU$v
zY{US1)-i^ryj(`DU#_Pt-BfyYXeV{KyN}un9{j2fXK2UHi?pF$rl?^z#f&C&=&({s
zuYXC6ci&R0`(J5W^Kbe+^e;V|uEN(ZYjB=fYi_$#oKH%O`LL5Y_ZiiWr_HhBm_bgw
z@rMhKLwDBk?#Sl_Th{iBFS|MV@%$D){_WG5w-xzu*3M3Bb<>B9LcKWF&4YDCFUxn4
z{jrO;<p(n?dAp7&(*k{7uh8ake^vQY%3ta?`X?o<`#_iMD`{N+Vw!GtmlmX5q4qZl
z=xD)NGFy;K+P@ByX25<@>$!*S=w(u5`cCRvnnAa2r_+oX>2&jwcvj_RkZCW$vtPcO
zG6!W-(v^Mm{{BI_J?|JDJbjA1*XI+~71H*WE3`lJ4h?_ugl=R$r)Le-RQ<Y!x({lk
z_twgscVC0ub9H&nStIUKY|dYmZ24Jx@h<M<&TaI4*nV#p-Xi!nLDP|)r}pBp`}^?x
zKcW02DvYNb3}gF;{aAX?mm_jQ_-;gZe)BVsRWil(nbDC)Y;4bIb~gMbN_c3a1!H))
z@IW8eQE<##y11{HmY%vs(@*D9Y2jfSA@<K~osvm^<65$_T0|qmCQ)eWFv@(~m+t-u
zrb#7!WH#25)-Q6QuYVmV?X@l0Y1z=L@z!*=(wa`rwk1m)2Z}lBOgnmYpy4mQ=;<86
z_E44to4Pkm=rV}Te;PqbMU!b@;R5oEjU&gv4di_yl_o#kMcRc2sQ-*pRQIibzW2XL
zmp2s)p3#4_sqhDdmngAcH!Ys2X~<RHmLgN($VVbP`M9}1XO<u@8PSim7Z2fxFC#gB
z$wbyJnZ|c7&gO2F^LU)b0-mWdpI@Jy%{TO?u}z2ZZ0aG{mczriyd{_~uk>QOU_1Vu
zWxyN6d|K@PmTI=%B&$isNu@T0uH2nNn~wFM@oOz8cJ(J&eavCGcF-_+Q&5RwiC+7n
ziSN^c7xguh^t+FeuG3~IOZS*$pm|O5ZT~{L@~l?6531lO>%lt%bMPJO0G%Fqz`7Ow
zuw!!%FtiE>yIv!J9i~9z<Ao5{DIW5al3+zt8q5ma4ZA82zyjM-u+6*xCO^3jH0TLL
zWWECRb6>$e;}4v)QOC%Edf2Ae6m7F?@XHPt^gQK_Q5=BQ$9iCopfG&ZdkA()9fAHY
z#^JAzF?f3UG^`jg1EV5mVD-Rhg3B&;s&&TV?k~gfj`{%XwyQfT|MJ7?DK5A#+yYNG
z>)^M!&5)D&3hs&>t)&BxL;TXMaJDEG2HFjVFdGl3*sBA^O%;;Yp94~M##AZshLJR*
zdP^|*jt_jKBzl~}D;2htHgbbXnA~CN0y+ELCb?mDw(M+oO8(VDmOEHIl!tz(lvn*%
zBe%dmIn7d&TAK7}?l23{XXZ#1FFk2@mjE&2hS2q-2wHn~9NGSvLw6Oc>C}-8w71Vz
zN;sZHZ7YvZ;+J#e`k$C<Zat*1Bb5Z}YA9^%KN_%0liivPc-$?KZxW1dlkr~c&=kP&
zTYGVZ@S9%$jpDt7C-8w2(|LHoJkEDs!clvc@lnBL$jV;EVK*0Zx3IZ9rN<Nwdp(l3
zEDY!S6Gi`%trusuv*9lHb-7&l%qO>((Sn!@G)qb3vHC3~o%)`nYhgmaL!Zia<!j~3
zGaD6j{$97`UET&SC>$=W@YyNZ|7FSb^E;_$e^u!D*a+-;+rzV(j-aLz1m2hWf=~Bh
zu>H<>&|WqhZZBC54Yh0G%lD0NwC7fs(Yy-=+wF%aJ`RHgYl*fiM1J=cOgaA)oI1XO
zjGmui(l5au&Q!)>YqW6ZVSNnw+ZG*`iVhm}_E@pS6Aw4|VHd|B{P<PeGoGPh_6W!H
z$wTn4W+Wyrh(<-i2=uTYfzN%T@cFr+c=Y%{T<;!=HzT`a>rq|t@T`tF<(4CMIc$y<
zA$sWkN*UF9euK36<&c|t4T_$ehRY+e;X;qi5ZPfFcpV%KzuxtP*`*$kG0+?qx@&;l
zvKr~h@h4LAmICSbor98#ws_zESu1hw9BK545mLd@P-(=GKxti>w{$$uRl5A$K^h-n
zD|J3(Ej1QdOT~+Ar6U&|q$x98q>bx5r7eH_q@;(z(yLZ|rSH3kNWYJblPX}2WErqp
z_#_*o?S@;Wil13h{fDE{POS@4(46bisDKhFC-I$Rx~fq+Wv>BC))>N(Mr*L%;|^bw
zyTSBN{lN3#C{P(U7siiY1Bv>{@b$rNcyZ<^%)5UPK6SbcCmSoEwOb9`n%oL!FKUf(
zL1t)t))C9Ed1KX33EcwwV?gi-tkoA>oneb`$bdN1Ka+sUtv6zc$rgN_n2bH$l5z6m
zO;|K55pDJ3(dFuVJR30<S0;pFS4UsG``ZEsomIxf?<HWi><E}mSO%so9bi?|4XLMz
zs$}n6q8L1IuN?UGpL{sQjbfJ%q%3J3g?S{B_5SUod1)VA-*<vOC!MFinKJEZzDbX+
zKcqm@GD=XXq;29HUi#+~ZE^fTt;Lz(eZwCz7yXoxj)Ij_C3J*MTKvhWHFr6x#~qCf
zc-I&sCea6wu&FJljW_2x>Xv+Qo|Wh^Xvdy{^BmzX7;qUjtai+X`^~oD1@FX}OW&HK
zYpmF2ttH<tG3Uo0+H!_CKaZbj#11w3+<Sl?C#36e{zFYp7a5-1E-GxbSc&yho2hA1
z9r4m1^q}ku*(H6T!8-*Xzx8Ws{P>cbIzOj-zn)Q+i^w%REupSLOP`ZkOyviPNzt){
z>by#+_D~s7ayc1%d`_KCSCZj>ugPZFTN<?ZBWXVQO3mwPMb59Dwp9HgpTJgJ;-t!!
zE}~y5NLzHr=(1*lKJPgu`T(w(^77l}Vm`6rP2zJ!HrsJ{Uq`+qG=qRvF5GUoU<vhh
z<KcJRc=QW5mKVA4?j5c?vbzi4T;$Au0z@}Jx*hjTvu4!*;ZX>`C6<gB3)^tpox%^E
zqQPF`a~nDRC12e-+8<a$r*6EX`a<CexRp~}yQk!ueV_c#-lC1;u2IAZqQTpX$gW)>
zP3v)qY&FEpE}li6V=vH*9~VRi!X;{YTtJytMRex3Ox4j>skrY=Qlq<ctKbo}>rzUa
zy<d>hq5o(@ve1z~e5c$a4P-u1iCbrj*`ZmJ%NFW#chR4FQ{-~?cv$jsao$Zcb>x#_
zE<CxrJ5Lrf`vZ}OJ@?*^uiN=^joejeUjh89CV+QO3lQ0uuDr>x3oG>yJikIOE=h9d
z$HH&;v(TQkWGm5YD`u62`aIlJn?uj2utq@>y%-@r_w@g0t40~A_qj**aE1Q0T%=AL
zPt)|TN9eC}4yAPwy0}#a!ILy{j!34>J2#0;c@m8ny@3iJCDPyTiG&3kDBNWuo$0cf
zF1$^q#a>(KrfCLw?buBf=k|)7{6o}o<pkY6f0k@Q3(0ilRq7jYkK%8aQ1q);bURh-
zcRv438!MD}k(LJk6aBeebd7o0T?@9(wqxsgF8sr*BhMi}{-qqqC(DpSEPHeDk$&7^
zL^#Ll4d#wH5!}=i!H-lU`1HAf{7b7ptF`IFeai(5Ix&Dh_3+`e09WpwZNpAECTzMy
zhm!^f9!ORVUGDmvh8(*^304<q*XcvFd|3v$C2pX!yrs0NWIWA|89;wR18MFAcPidw
zP3bv?!iUkMpGr!!TfJ5;x&KbyYgH-VC@PZ;<Dbei;IVwa<dJOW^hCC3TO$A3SuO|c
zdnG41y_ZKhewQEZX_5oORVdR$o6?RMP+nULN}l3CdB;3x>sNo;(!CdzULH&_a|PdI
z(Ogo@i=&9oNi^MOJFOooIvK_buV>OF(h&Z{ixs7G?BF{(^RAvugkKn1qQ@__&AH=Q
z2jM?>a-ebm_loJo*7*Z@YTgLeGmT-*&9ixR;bM-1m3($o9M7E^&l|1d`NM?Oe0oeQ
zKQNxl*DNRT<~zeUAvJ`L{OH7c=Gu#QdK*^S*+@Bmi%Iq88JhVnh2D0bNE^0wpc}`(
z$#*JK<?j7{E5-(X4C-O-Bpn@{EDbKbE~O~yq?(xquy}zJjK0$a@~ICr?~4TYyvfk2
z<05cyi3e*(aelK;0iDhn5HK$rQr{f}=Y6>la55hxGX*?)e*^Y9Jc7ZG%AxP~H!yBZ
z4eUy2gcnPdF=nhLR?XJKPua$}^|b}s3m(?j3GK1>3J=^g$`^-!^2aag!T55U*l$@7
zg8dTv;+-@7Fs&>M_g9DEm^=OONnBsdZXJS?79#F=*bVbL`(f=p4~)Cygc;85aI|EM
zZ9H`_RO~5ch1Y`gxeD~VJ%YcJ367?mfev@}LwmanXtjGI*msG8@l~^7VeA-~?lcIV
z+~^6>-2=dInKw)w;s$kjj?iX>Ep*!54#qTCf^WPfn7LX(&#HD%m}Lt+q8%Z^z!m<I
zC%l~M2fy@!U}t_W7&a*!9=4B$Y|R+(Hkl6tPOgT$#fgypEd?TNcEL#f17LdZBqWX~
zfXW*;;JI<J$S3~?yQchr`twRS-Bk<Es~X~?AWJN~=7>Ajcp{JT$Df|v@tU{>v;GW0
zzxAUqwf!Uv-!2YD33IUJ+<g31wE*j$&Bs40=HRcJ)3E2Q@%Za#Bz8X)hR@w4oV3OZ
zhnm@;ve<)r9^VRQs8_=+yBknka1^xLCPV)#GoUF-g7NhxF!5iNWVkL%QdRCQDb^kj
z_Il-6bZO5Og>jCj{KtHOJazU?Ia=kstR#NTn~@y6;<bhp=g>nc7X0oDyLU=$^YW#8
zSD#4VXa11l?6jcfy#>4q_k_wlJ>Z({2>4>X5VrkJgezZn!0Us@;PwCoxL6f~UC%Gj
zeU%Cpq1feIYmXM=I-$wu-Wb$z6nc6J4QYA;u3xnkTY2omsLrQQ5LR&3ojdr`r3_!J
zdX1N_e!!|LpE0D{M|`YQg{qw%;_@};QJ$KP&HKh;u(mG#?KTF?G;hmxo0#sswd9k-
z`?CL)seGViB`?cc$MV5M-Z69om&Ygas<R0^AaE`J2#e$Ib<6nu?gd=AW(MmYn85%2
zj1sKTaCUa>$=f{r`Ne?_{Nkd>FYYm5i!@bEO8-WYYGu^3SSGJwf?;weopwj9qa(gE
zXpi||^648$j+@=6KFf;sxfoJxu{JsPQK#u1s#Nc*N}Y_<DSD$8y_lp&;}#mz^zD{(
z^{4~g&T^--6FSp_pFq?vj9$!)q`0w@XoJUms{St6(Kiw)*Cv&+)pya*b;2t>luLgX
zT%@ArtD-yY5gi@zk`DC#Oo{qUbo!+#TR92u{G|yWR<Yq@DK4xN>%%in2l5%~-mH9d
z5MS*uk`Kqm@P{#T`1$UoytZ~VuU)W~JGNiXPo5{T`os-<X<H&c>zlyir^T~U`BJva
zo6g^MN3%~$2)9h|<_;??_^5^ok4`G1(2`^H*D;Rl?{%h5_dm$}&&-k|zxP#qI&eGK
zIx<@NqqI}1*1ag*T6RyGGyIv9x8kLQsV}93`f{m9#Z$@A{hsvl<W=cKV}Vq&I!}t-
zbxg8ew_nPfktLbU+94g?y-gbSFIC!*l_IrSoFbh~N|h2yw@Uv-W=Ne3GNo*#9BHQ8
zQEBD2Gg4yjLTN<!4av0di8M5;N*dexyX2m#1bKh8pmvNg48COpN&VeH)(C(-27O^=
zViZi<G#!Fr6%<cQf>f7u_@uNSj;o%5!~F;*)jWceYH#4bqjjLwsD@*g8lY`uJM8Y>
z0Xt0Wif>l+!B=x4F|6HGtQZ-K2~F!T^UfCRGBpD~rS8Et-w)vt>s)Mo><qdXpF^7$
zXYta8)41UBQB(=qgZuPS@mj-5bPgPb)%#r0dQ%--c(4m1mTQ83&2EMHb#q#2x0Xyd
zpCT{)N0ig<J%vrIqbb||(H$#g&V8!P=awq7+j5~ldn$2UW(%#>7v5og1I5PHQ``JH
z8g;&oqSw`vo<k!UZEB`FmqdnVP%AFXRuNi(Iybp!aoO<JeDF#e-ZR#SgI(IPZ5vDe
zp=HCv1(%^pvpv^;7u?Wup8QL^&nIm1<GaiJdC0#2wo?t_$BTp6tgpn=r${W{3g$jz
zgSd-pHy&;8&u2w0bWcG?)|uzVE=i7DZE4L`J==<$q&}xT)8rTHTXB~h(a$K}rLhCc
zY1ZR=)M)?{yg5&A_vcd0u7i|%H=DNm?4%txw^8)URQldKnO+-hA>+rJDPz_a3V4xB
zf3(wR<kxMqX7LU&CuP#Ck^894kwet9`~-!RiM^q7mq^6Y=|jyeIu`nv!W}E9GWHEU
z4*N>yGsKyoLo0rCRh>DxH76$-^1@s*e)!Fri$k0^{9p$j-|Wr(JNt7e1aq8HPqrG-
zmp6D1;Gg3MbHlx%oEsL&ALJ-5Q;+7SYEc|{c$mm#4CZNv`g6Kq5!IMUJg&iyPd)9x
zS6<t4r*S51zg>&N)-+S{z-pSO^?>FWU!pZv4^q_NZ8TWqB(!X2)0y3obly6IPR#8>
z$NIZd{&+{~I?9Hoe6pgXLM!T*XiXjU?P-{0dpaBILDd?5bmc%0T?^<<0}2LFo%txb
zIdm#*oVAG3I>poPLmNnUTPht;-bHhpgzvQG1f?H7Py1&v$*=EGN3C)i`sFQkOZ`bI
zf0fuJLz8{C>a*83Gr?4_<EgoBY}Vw<ez8IP-LyALX9u!<hiGmUF@XovPv^K7^Eq3N
z<-!iDd3=X>KGS6l_vo;Ob>GJEgY=agpS_5oayoyVH<~Z(9>6m$1#+KISMK$nG3VMU
z@q|8Q6!Z5K?H#d^)B=alx^;qmWA#9eS~6eG{8Ox0{bozI<sT0Ok8Wr!Rk?SP)ED-X
z4t*OcRZkcuJ@yZm+!uD2=3eub^jBF+F6XqQev>~0`*{@wAK#M}Y`tx8@LD64;PmK`
zLCe=BUH-i3L{Uv!GsTRK!xf(DNs7?y!-}Hg*A#tLyjG-7_^asiOjk~PZY3|8<Sy^t
z8z>LI*kAT3A0r2N&ler3YvfGFWO<?gZn^!yBeGS}dAW_o4SC$BQh8SNNBQIG7CG~}
z7R@X%p?BI2A}{Mr9%GOiXfW}ENwoV+EPcC^Na;hjlds`^Dzwa_1zWDrf%V0t?eu{h
z*0#__;pt~LnR4<j@x2N0<pWAR*pwsq<DyA|#kzz??p()uW0Lur%}#!ok;Cb8j<Zkj
zS>CYv65lvj#9a(zZg4K*=8+fp?7&?9Qkl(C*G>HD?R0+IBKZBC)i^eHFP&cWT`qQA
zBt3W#1=6Dva4fzO%2QjRMK3+nnr@0?^(|3N%wk&>wnP0rRyfVd67_nUW6bEbsMu_R
zeSa7UPN5+#O*Oy^75X@Gp*}i{*2n5(ee_W^z}sgHuq@pWy$%}T>{4UYw>QO=tJ<Q?
zJ2M>H-vX})w&t5=D@^gR#%FzO(5{QE04UmG)+#&fbKef_E9|gkpB-Mdv%`7AZ85gH
z4Q_nX4zC4T35J3Ny0$mNnO9A)*uw}Fv-B}KSr=#R)JBU84cw8YiY?n)p~|opNYAf_
zgb}sycGy=aKlcGvuC9hxSE}G&{7b02UIF^a&!FX1DYUv&0<PvIu<CCy_{WsMe_^GN
zbg~SdCzON#<L7WMu@W+lyoNa)-hxW&k8r2wS5ST=dVCMpf$sHYxRj!V+0iQ4Hc%b+
zdTC(~-`2PxxDCz=GsKz0OmOf}GaQeWIKa>vLAJ$j!46os-U%Njx5x1Qu9$M(4I{5~
zK!+*rICrnRVBEQ5%9#!bYur#ScR}?F&X{WBh*K==Q147T9Qw^1E#H{n``re(+)WpU
z?$tzxHmbN@{~x6I*MVOCS4iCV7G9cELakF7?0o$QvWDD+ri2^dv*HR|^p^!E@G>+t
z6hO-FOJIED5**PgfPaRCkaPJmc>Ghq;-?I`KG$K4;2Xv-xerq#p1`SnWnew}C2U#q
z1`1n$0*hbY;h=8=9K0s@ArDpX^h*si)o6{{A)@1Ft1<TbV1|VO?XYyU9XgzH!nYS)
z(JsXUFFJW+%G6F+9NGnYU+jwcd%NNMpMlu2HwgFc4np5&fp~v__`7C*JXz_7jV<2z
zcY+5d+q&SmKK8iqm!;@UFu_~>_0TCm15*UUM1Nu}tg5Ysse*~F7jO?;#Buas^aXg8
zaS{TR4}*E;UZ@_o8wT~ufK6fBAbNNjv>TZUr$bZ0)+i194sC@OzqiA*-#g&y&P<qA
zz87Lo9E8-?$Km9!)1W@?0^AofuF~b}V0ZXF{MIXlF13}=FZ=_%b*P1tGycHrG!^`4
zuZ4Zz=;5jR#+X)NA@%_6u+q0Z=EQiQW1=s9U)vRPLnL%M*Au6m>5JaB18_vuAiVu(
z2u^!640p)GF*j~F-u^oj^PD0u=j#Bh9NrhJ=XA&BfdQyt<&6nS?eUDC6@G5e$3sbK
zXf^B??C_|BVVbw$KIX$(p{LfBr@`OEwctB{4z#^L0*sqO!Q;B%xxe#;6hjYa)9eDb
z2DgXbkJ^KsuNzDV_Jl^+7p89(4Ar&W!6>Pp=w%-Yv~(<}gwKH9noFTDVhvdCOoGFa
zX`r)X7u1c~4<%<#K-%u}(AR<C&%k>ixj%y^h1KArRts9{N?18X13lc@pl<KBXjx!`
zpJK(&aD_J-oC(0iN<A@TV1K-@au_y@AA?WtO~xZ@XJd80MQByI41d<H!X>tGcm(2b
zN`UCW{<sYPC>CJXZ`1H@@@TXu4aXK!30GWo$64deanyP>e31MGipCYeqNO`Q$7e2F
zOztdtn^d5t!x_ot;Sgz^-mPFw=b=GQa{DSaeYvdoq4`S@Y_2Is&(x8_CaB96nso|)
zl~Tp(*i(v(J!=(rLOm5;efJfeeljXBudXaer?yWpc%=o8wvdCN|L5S*%XFl*9qc5p
z%FfbDIZSeCH9=}DSt>0rNR$qU-Xs4%`=sFGrzDH63Q4|sUwRi?DMc*#F6sYj1qrdO
zVfwqa(08CCtbXDRi#GsV**XyV8;*x%E(^it?^@6wkpkJ22}!+<!NFFSAXNlC$HZ5F
z+S0FZTeTIoacYgZ&Sp43-wDrG`=H%E#2(!S;l1o}7;|hMwlj@KwQotd{<JuAwaY}M
z_xo|(>0@|P=QMU&c~)q$=P=?>9{!%4i@(wjU|Z!KX#IRW>Um8?yPrY$prH-g*I$9-
zR|Z3arN4Bm?{)dG!AM$qDVwSquhP-huP9Gsz7vC5NUfq3XL_q}T(Al^#ERTfuU5R`
z_CIQC-a?<RG?8Uv1C4%BFMOzaI`OTZ0zDdOoXD3P)ci{`?kVx>8fCsQNsU*#X>y65
z4u4vu$AL<QoSbXI<txnDJ*FM+6WQlp1Dsgb*Of~f-FZfum)PC&<sCme^Sz9&eE51d
zelabG>lOxcOKC87SRKrVVuHBanr^K1)Sp|6{*pLzZ`N{j=PetYxooU0S6nmaTTc!7
zeXb6NFHmJjZldJPU+6!}S2TRO$fX{*K_}i9l3u?&s(o>k_U_N2^z2Mh+{~a{<86YQ
zkV+3;CsQ*fQ~vs7x|5SaDr?hdWxMV4e*6yF);E)qZtbNx&koXp`Nzq2`x){KxJdoS
z%Jf$4CKZcJg3H}9di0@+LgPMBXxcA|GW$oJHPpE9yf**dF7#TF-OIaW#kSfGoIK2x
zE%tO|izj~kr=lBs<{-Q2_U7Y%`?3D;f&A}R1ot~XjO~|3^160W+>#K<E3$|2&><15
zoil*nZS2Es?2$jN_UGJ3o@~+6k^7j6Yp`CI!=Ja}SqHw*jKQVk)`2N3A(uQ3?WVpL
zHqxk^Wi;i-1p3))ARV3yw7F9!+R&o|X%29r6Uz4V&d`oB{OswvixXw#xl-l6j`a9`
zXKFT)D0N&PD$X8EqpysjsW+yQ#j!;+%|D(Vq->zz38~bazmp&(hm@L*)86KMI-f;U
z@Zm0<sxG7JJF4l8b}gmYC~?|u4L-X>^vR!V%b9&_Img45)rb2CUVS(I>)A{6g%99L
zjYy6#AIIxXPG!R_b9wOMCA`34B`X}_cvru8&YT#}js4?z*7Fq{H+d27?>d7IP94J|
zy$14}_rZKm&7IGfnXz(#3Ri2rqRu84$tq<lr7WLF4WX_ypwkz*N;h3T5o9B;JQ%D9
z);A3v>v}WTr&d?e{N7&Le5jN3?nP&5(_b%Xu+Zo1UmHtZF0_)OW6FcaN96`PB&`m<
zN9}|AyxkKtHa)LU=fmkD#da5k!g`Uy>-1hlPRw;h$dZqWJ3H0oi;K+U^Q+wC!EXZP
zEsw)xS~fw>HeMq8e@Kvz%}bLXU(c4k{~edBg9_y8oZE8bpbGi@tS_>Lp%Mi@(58!P
zOsRF412uN{ri=ujwZg~NT{=N@zb~e92NLLTdKxty+(T<W=TdlF5e<%iKrLFYDZ}?S
z9owYF8>SlYpa5&WBCbi}{QzFGC6pVwj$q{rGx+w4l|1!AB73z?;|ky1{G@t6`(8cH
zF=O-iM&JeRaqkj;U3rOhALR4?{wKMVa#-@*$|ovUvDx$p?%K+MryBi72F9z2mZ!=7
zck-kSJtsgz)KSm~EQa?Re?n}6DqbC?gEt)8pzT$C40x@NaoYNrdsGi^>*`|0Y#ofN
z)580gHL>}L29EBoffj8vFukh=Cd(RFA(+A6?rLH05FN}COfHjudN|a>0MinTa9b-=
zytvH_zxfHBuA&`wT4IZODh_yPwiBA=wZ~BkS6rCb0e7f+;Nte482`=_yZU#;)y5sM
zae*fe8|s0F&I;ChiYsP(bH<iZ2mBIli~ccIXz5~xC1U>d`Jso+R@yi=P-qF`m2g(~
zdQceEK<MzdaJKzR2-sZ$8CM^G^2u8;bHY`4^+5q&r9!~T7r}YNc`z}}hc2n-;Kj9b
z@ajlDw20n0({Yzzgwti18!JOx)Kv()d=s8z-h)@aAH(1)WzeVPCH%Lq8rmNJ46BTO
zf>}uuBrIr!`TNyy;ZH4$7_EmNUmBu3tu4C!vBXY^wwR#egi+&MF?Op54o&h#6F)z!
zi1SB{(cSR)`5;tXDxv*Wz}>$9Ba_8{FH*ugeS)yd=m0#uyEA^#^1;{(qNDPnGoE+0
z#r-zs7<<hChx%({Rkku#`PIS5UGL%R!E$I!x(D;;5sX=u4>bkH!6Ils>`}`E$sir9
zho?gOJDXu_^hU6#+W^f;8{m<85_FB+2)45~gMLs7jLY8&{qJYM_hp&jQLqnE;}3)F
z<6Lmue-6Ia6++hCt8mly9`vj$h9~_h;i~Ni*f+lx?qLh8>!FGpt+jEphdyqfW{S`5
zTj7lU4%qxceD;}M_~A=uG!F^F9b<doVcWhqZSnx@WfXy{l!l|bb~Mh^8Huf4k3_ra
zBQZTW8b5X$jw>b)7W-pim@~8|KIzpB^Yp#(-WMk{u&}@rmAV+PrWMLrpTJ(@Dg2jz
z8T2)eKvR$HuqR_J-1VISGj~Nmt?1_c{nrytF0%)h$>y+RvJqUj*9X%cZ9rqGJ}h5h
z1e*=bpiIRYhB-UIx8WY}aAjvWln6q*?g#g+hC|cd2{5i{4m|Q&1&7<OhnwEXP@u?w
zer0>%_1a?)^7tH#y&=QbnRmhcaTzRasD@{sYT;a|5=QUS#NWmG_;Z#y>P)l8jG_+s
zVx;iZJ4+bi(-)O}Bk;Z9C=5OjgZoa48LeS4ZueV-wwvOy;?P>WK<m)q%sO-)vKDV_
zj>9gyV=>xsHd>U8#Yv6fXi*o4j*%{Shz-%38sU7=0~m4cAS4Z11y2eB;G9p3H19;Z
zq`X>1s?y88taRq3!j^*M+@%X;uP>Wqi{K1-QRHrU(#c)&;uYy~^@C)&_cGD5IA*!5
z{C<i&X2ek0WoUQV5xwNEQ*7i>O>N|Ny2|qL;hz;z`$`o3USCn@{?1dJI(tyj>BlaG
zM_iiXxc?@_zHjRlFXGlIjy+tf2vV$5RCP&I=(}%HEJ;pPd>FAq(LH6aVzSpUg<G$D
zMZXuUSfcqzG3NCv#oaYO6dw|m<@hLFc}l3cJZYh`yuH4YeDFt4*(PzAeErQ-`MdWj
zIZkwS%n8^bD`p>(FBzYghlJmh6Z%%j$GyMFOWLW>e-GM_+r4%a*TsVtcMhg5wFBu|
z#w7BLTu!6TB~fhL4vNS-OphmDr2W_KP|24{a#Q<F20PV7_ScB-y4dsYB5!V;)}8Mh
z7{acfCv#Z8<$U38B7eBLm0y)-v-<U;{KoMd`>ZVDn_aK-o<n!ISm{0oue!_CQ?B!O
z?*jJCI?CUlZ)NB;pB)DYo@>Wn6kRfhPMc{c$_sjdY2+oKuPqR=*9@N?aKpl=&iKwb
zNbI5lZcstgR1?pIe?eG1sT;0O@W&5nemLrgkLWz;h;8fz`)#8edh3gR)1ywPF~|XT
zwX(y4d~0-@YK70tEbzybwpbZsf?jGyxM7bzF80^Mu%|lsYrYoVw${L@&s1^qL1la+
zn3a|0El@G05f**>4XF=n!C3t}yvz6s?-M^m-SdyonDzlapL{PmTi?SJllP!H`aP6u
z2o|9JM|iv76O?*?fz3T?p#I=@I6mYjd<m_CLu(pgMx$WLMJQoFcV(OwBKj~!sw1z`
z#Gfa$ar~>+7-`rBpMU|zO)|m<u_jm*+ZK<HF~=r*OI)k4LREKb96ZTJFsE$M%+U_j
z_Xr*1ksZdJw?qB@cGz#LEw<TUgDD-Yaq<Q$+_uXCW2czm?M4$EH%u@d*X!e>?Yek)
zlQs@mq=8FEsp6TiR_LDj2O>)AphwgX*x2a{oLcxEbY0#+*^pOYr}6@tyOhJOx>DE(
zB~Wcr467GD1>aFmq2=~d@V{6LR~$;Ao#r#xFt!4WTwcO~s47qq-rke9?;*kO3q+NF
z2miaj;iPIaOq7)HpP343>8N9qz802<^MzT@Hh5-|A=a-k!TlL#_;80MHm<ZrLGi?d
z5(k{_<BTc&T|_Uho9IvNfSpgd<Bu^OXtCD=9j1Dq$9Z>*TH68JJat8%1MM;7k0UPo
z&knQ4TI1(<3%oYm6vMw6;Gbw+RLa%F8}%x9W!GOYS@|2HFA0w0)M|Ks@CCT8Edgue
zhj4J*Z8)*u8pI7E2x+_wGp7{*?z;#RcU*wbz84_p#05B4a1l;U7yjIZ%kUyYhQq2?
z;dK2CcscDZtcrXjdVWiwdGm8PefKr=nEe4p%>M>1PwK#P-CtPKT?JDoYTymgR~*sQ
z1{aPq#-WeJoB-{x<)9r_|8m09wr<$YQe=;cy#>$H4_~1_dOiujea{2&cvvtN8%sFL
zNy5l^!N|3N_}{(&JhZ9{+Nb*B>ncyIUg?UX1>eT*pB1v1DX#dchb`F}*dqF()dFi_
z<dABJvnqo-d<WJ|ks-H3KDe|y0dqnQK<d#f7}0$P9M#wc$G)V1@qb&OYuRS_R<Icc
zFW&+~bW*@gWbjfWw?kda4p=K?fwf5vge*A>jT1yyQSn&_yIBBf0aw7!;|@&8ej?8O
z&!KB$HFT`1fwNL0ywy_1;l~BnbG0tk#~WeZ33HtE%LYFTaK@~Y?&z)Ji!oih;_m<n
z*VOdHqAsDhw|)S&w2r`_p~G-muE<{fjKT=bXe@seiI@C`p;D*8_=m#qz{g&q+ad^q
z7Ieb=_HHP(wZVAtZ`kE(;K1|s@OM|0c;DTD2+jwi{2X|ek_t(S;=%L%G?=R~6i&PJ
zfGB-Gn77aks?{Cf<{WF-HP#9yCtAU$z1Hw)nmtsWY7ZveJz?b^Kj?TR7;dcS17~a_
zU|!B>c>8Y}Yz$ZeKRT>|iKmlb!Ra)x^xX|UZ~!`0<wBF?MOggjir9e@bJ>Fmh<or}
z^z{6OtGdd#<-8W!UNJx~4+|{%VUKgw-LZC*A3D4X#>n-3aFfGeJg|KPR-B%QlVB#U
z(^!ZOSC(Pht*i0-ym;IcwFckXt-(vj<1nOX1@4bti0{3o;oET|@w0arW~m2Ym+{Ux
z;kg06b8Le1p^w3*&oKzpOMrd*Lt&z>0qk8XOMN~^OV-Cu1b4DeDvGyKC<@n@%70wC
z$uZFb<!JXPIWj6z*6TJ<Hn`he-gd-WuCuk44|Ua&(-*u~7|pz_Q1VPuxUCzk_|>eU
z7}j-S(VTq~0tdD^5H#SpVQ@q0z+gw~gkUGD{lOEr$ib>tp9eqDY6yN3r7gA5GM6g5
zxk#<8{3V}a(S?>0E#)nrDIKa_E#*AjD9t~ZA^li*K>9vDPujGJrR641q!@>4Dd1JT
zbhAJm;x`(?u;n)3cgzD$bqWHf-~mwoc`O`{SqSQ1*Fknb8bsvpfiH_s!uD(hYzuh=
zk2k*o=d=d!zNmo<?TqnbvK@BR@xtQm61sO7h&wNjLl@yK2OnL7>hm|_*Pa>JT)7ve
znxm+#lZQtyUc`Nqi*U;_8Ltdg;J`_j&?xXU9zK+V&R0{gyWJwpeBBc>J@v8Eu6!6O
zW~>j1pA;XzOLV|`KOHVBqiBnN)EuG9LE)zClWNK9jI4RuQEUFy+>Q@zvSMAqsOWOn
zjGuot6+M<F94301eUBS*Qn}cti!|V6jt1Pms{#K_HsFVLhFtc}kef=4_}xci?%39p
zM-OYu%6rWC(g$-6?qJFDM_ci{*mk^Uu{9SAu;Jzg8+M&z%NI}D^2bxQTs>Rp7N12&
zvAqrZ7+Ukk%T_$b(UO(I#O|Bm4&{F{<~>Uc+46ZCzGb7!55l$i&;kvv$`Cp7E3No)
zOAGB0*{IO;pHy31LmG2Gk;TGyRPymZQZ9W(`+{GRTKnhpFQuH+S3DE`QyDE0*WnUA
zBX#F;I=8xl^7_A^%*0B%@BW&m`&HAFtoO8L%x97oeWUW{KdEa{1HFtDJfDbG?4_d0
z=WnU=yggdHAigz6%n)bz;i8Km(1a(OnDGeF@iA&mJ8sah<)|_CJbASve;DV?C!5;y
z9dzZJo^D)oN$hru99mGS8@m^~@`(K|{QR#o*M4y1t}*tUwZew`3og;-eP+DqhB0U5
z>+`Xdt@)j|Cd;o>_>k8>@!9IA^}QMz<^G=hb;S-|Tsh6icuK#cAJBoPx2d)I4f^_1
z?5t%H&1q3kXF~<0mK2fLN~O;OWSUh^q~7T&HMCr(+XHS>FWdXHZpLG(_9&%qqn}g1
zrYg#4dPgDAUumAvFUqrNrXSr}af6l`5BaUhmm6BMm7W2w5Uj#4gUor-Y_X5H+>UR|
za^hxxSAKKfoi%K{*s+~2&$;NwU#q%sX+l?Sw>yBF+jQg9@&Hb%>B@>e{(R%DA1@XA
z1Nh66gBH7S$FWZAcGZUeT`=bbQARxIT5IlSs?Me5f2rY?=+5?hOE<fe)3??SsQvw`
zq?}Sf<0j>i%CO@!bmBppy?HM=-N_^){av(o@D6&jCWEGJ&!Cq}cF=O$U9@UdCJj#7
zLzg@6r!UJ6(}KY#$nV@4!psYFQe8n)zF(u?!|sv4e=&7TdqIcCi!Az~8d^D`fgT5m
z{n*v&eB*}>`)o2`&Ax5<nN2(HukOG<zqzp515fUi+=*Y?1n~T+5?e&{<Rb3FOLl}Y
zUJB=%YJ+*>*a+@&GJ>tj2J@3!1G!>xe{TD_4{Pf5-~{zRuC4LqlONr<!qJW=mzeVI
zPOUj`MJo<}{FMSC%jwOR>vZ+SS?V}pKRr6KjV4@MPrsHdr7EMzw8$@#_8$$SV(*?*
zvLTp0Oz%ejwg!;Xm2PBzIhfWA=s_0!`;x`hf%Hx}it^TtrzY*0RI`2wO<fjG9vwDN
z;*b=IZpxq%+r8v>{|GHq%OmYag|yZ825smp?h(;7eBS#bo%a!JvLCHj%U+9rAJ*s7
ztIYUGjxE<~xUxr%H%E>Q;57Fhoc6gN+b$o%r_PUL@0k->nm(Ni7R}|q0~hhri%Z#g
z<}yzATE>d|OIXcn0jH|Y<ogK|_<iAU-teq1_i+#4Y1XdXPWbz2_f+|v&09))!PMsP
zUK-aSo<`s3PqSUE>0Q)k*(K_Te9~}|Y_Z)yuCY0+_>*U=Xjsv=$ZK*<H;eh_0x3SG
z+x}<mixgB=bV?;iF=qcJg<X+C;V<^uB08DK_d>jdciLapeLYQf@>na6^4Kb8#pTE>
z<;lkJSLD=~r}A*Uw{riidbuuBjZ)P0$<@x1E~&JqlpDS@Z4J_fp#$lD)L6Q6a<1qe
zil^3-H&KAt>sCzKPZpz3)5sYLdU4=Bm0DI(RkdKCZD_^U%5`|-CsV$!uxF299l6W#
zKvtXy<^P66iQSng{PfLYZj-l$od$2@gzPllH+&}-dhg*!CHq;g`VdcVILvux4vD?$
z9KKMto2|a3va8uT-UrjgpMBWJ+Md7G{H6<Mj!<ZnL}TNo%L9$ZOCwFpA>?EXj0#8v
zE5E~VC+<AVo=PxYbchbSe+veL--g&(w;({|!`vQTgW~Ed;NOqoye~lz%TS<0P-4$u
zrhgT(o?VCVmAB!!(gPSd`l;wcEr;-|D(JoF14NnsfL^Pcpm>ln4k^+=T%n7q8;x*X
zr8ySQw8bax?eTtVPjvdz32WbW!;5FSqj!(KD8&jMvhPqF77~rUlSbo+r{nPR?+MuY
z)<i6Gn20SO$Kh(#(KvEyB;FUjs5L%)aQLGj-013qx^YhE>u82wVzjX=s1c?HRf5g<
zYw+0Z1Qa%Hhu&@D;oiV;ptGn4XeYUW_7GEezFHk#ME;gyimRoDj0$P_gAyt8Oo^1b
zrCd_ns*(;?e3G(;)=N>}m0_)=4m21V!=mf$;JJ$n_;&S$s`_9kp4JaO?v8}e9WhWl
zd!b-h$3xKHBq;g16;u~yLG_-)@H93Lx*IBB#=JYAeYgxh7QBU-7k)vLxIRf&wDD=K
z5tbUX!=)dcv8aPLKDyHlHP411-5!J;zKq0<HIs4l&UqMgVmWGjjmO-#33#JT64rIu
zgw}4GG3neU{CzwL-M=T`>p5}gHgN%N%N~y-8vA3QP8ZyeVvS~_gqFAc8MyU70+DMM
z!8~;*Fjp&-PA^lI#(Qj5915K*$7Y?8PtSiP-`Vj`{vD)Er+xM5LcSrX9W$her~0((
zi7r{XiM$x9li3tyntHKCo|IlM-#Ae#m$`kDJ9&SVPn3L-mpIqRuibyh6TbbHW9I*n
z2aHjs)-yCHeWEUDh8t67Un_cJ;Y1${I#Q%_0A)-Gp}C(U$o1NITB$vsB4>!*T&GR+
znbIk3Kn{gfout)?m&qjhE*VaFPR7^2(DwL$^tVilPo6O5@7-;=YL`2|IMtQw7WHPM
zmqR)K+C<UMy+ANn;`nW^4SZm03a5|E;8l@XT;`j@?@|x)BmKkN6n;psbaS}VolM@c
ze=9eptmoAS=d!9C&N-Le_=%Tz2Bj2|+Kh?x>vy57f9Fc@?dJ_rE%%2W=?M_mEgM3b
zPQqy80?@ol5Nm%8&b7Y|53;U7efz8MtrtUVlnhUg7s1hamm#LO5Q;t*!p1w7!Fss@
z>I9m>dDb-;ns*D9J-H7P?>z;ztP0o<|3P`)Cy1~439E&M;XgzbZFRJ<!bBe@%``<l
zt#+ta>42`U+_29dZ#1^=iaWXjHns1KeINA4C0e3mI4=sr_l(9{IpguumPu&Sc`~k_
zIT^RKiNU*n$78L_Xxz48I7YaKqpxQ#q@u2P!`uURY_Y*M^Mu}Pt%CD~HsKZXKyc;H
zf%U9R=yxdr4(d;at{-|q@o!gHqiqC5rApxT>8*7B{bOld!8PejY>~8gfVj727fJIx
zuS&|l?n(yT%cR$5s-?ZPKc&10$`Bu~1C6~+z%17WE}nLSbHh4=`{C~JCN~_;Egc0`
zRx{w)k!5hhA^{4&Y=N|4JHT*Kj?j>EA^*Tdi1>aDbWEN=gSF5F{%7b+!*c4PFdPk<
zP)P%o%8-;KA{x$GNhu_Ss1OnvO2#OaG*A+WGBha^GFC{vXD#z*DufJ~$C5HD%6ESG
z)#bX*b>4mUUi*3OTfZ4R)&D`|zb^QsO#>gV?uEw7`r*{)R=8Zct3UqH1t<A=q2EV;
z^jxw4-<2#!<E87-@7PAn*W85e$5K$&Q|f`7O~cYNY4}5LD^4j(mOLd1IPypoE`78J
z|2&Y^rO{3}<%;A-^;gBCx1K}Bj-ya*z81u;rttpdVWFl=zS9ktE~5S8-D0EXQ&HiJ
z63uPaCCz?)DL%uT3<E7GI@VI+C=a4-Z_P+Es2^QBWlWdM3@Kfq7Y$mcOLLD(S)5XB
zsyd)efhj#{WvDI<n<{0%U5rQ{`%>j3bDFT)np)4>QNFn|>0X~eo`<K?`bYE0I%Fjk
zkBB3!j%3o!%pmpdxn#HUFde=xbxxcwk=o6>v^@3|b(a{hdn883lU?e3zl$!14lw1$
z=E2MXqj}(LHx7|_>|ZX<<sna&@sy@$)|#HkTVHSCelOE`aQ7_s?7NS}n>jrEY%b^R
z%;7tI_VTj+J9%CD7CsuWf!oX%a(tdUPgyaL-~3SIR->zQ(;|W7N;GKYG%c~AcDA57
zNdcn20}L1$2K`oVf;LSl-w?4EYVvYnb#OjpZp??G?Rik6mJ1c$*>Lg1Ug$P!4-ARl
z4O4J8d_KGz>Z<pELB&4sS(Xdue(nbauS3u|`Y5QzodUO+=irqFgJ#Zupr~{YuDI93
zmyi!IEBHG+%#mCm(yZ!Bc{el(kg`LwjW9~et0+z%f`_c_Fv3#0j~?oQk}Cj<Zu_HZ
zk09K5W-&I$F2^-i5ojA3g{O>T(Ccvw?h1)UM`>=nf5J-C3tx;OI)TX2Y~ACSGd6e*
zMODfBSh`0I>#JIzZNv?Dx9boj9ZH1cw#o4Iy&-5^c_sWfl_ktSJ4$E{JL^=r?}THy
z>9eZHUE#7`iP^Fo(<3s&u!AzQ^c}L~o=ap2%S~kFrI}TQ$2U2+JHB;1E1Tx@QYFU;
zp4T`Xy4y*J8qiy~vU0d^qjsXOdEo-Vt|V5t*OV#*Y~L#clobn8)}9r1bzBu37S;*F
zpL`VNME@0n9hIS}T?=kz8bNGd3+Q{^4tB0{gX|bz=+>|hUOtJ00*6iDy>bV*7E2!A
zmZR_?@I1`cxB*>sp2ECMpJ9<xC-jh4$D%#bd{J_S?4LXo6G8>-Gu0Dswn)xu<4`m&
zi^d~mNjT|88ZLQ}iJyk#qQlk$XpnUngP)h+f|g_G<5z;8D~j;;%{<Iny%W>w60xRO
z>P#AqL90u8IN0zB4E&l1(_LN(1Iub<|DI`*+Ts=D^fH%<=2nvG_8O_5QcoklzolFM
zKGKO%jkI7_11Z*hpurjMXtKR@FWX0ApGCc(qIJ({+wkXPasD}N*L_KD6JHbizoTfO
zfvP1|`;5@<6jIzq>bK<h;2s6`KBLSg23^^OHTg}p4u3z?oB!T3=1<xK_@loC56rUW
znsQri**}`Mj1~A=!WbUm?#4bVJ=msk0{f?X@{>uEI9h!Y4=S6;V;sh_{9ZTCz3a>-
zO%8mw-IldYthgw$KhGE?ITcd0_->&xXRm6fn;jo11Rqjv>Sb#0S4PI84pMYu7TJ5I
z($)DJNnzS*$>A76X-%_8ZI>^FJ@O`tNH3`+;6>kCCR2;wR9ZIKkF<^jQoYwgGByq;
zBjre%*d8b4a5s^2SQ_=5zl&}>%BEM<2k5=WF&Z@K3@v|2RHAf)_FcSBYYbjeoOTms
zm$cHe74ket%KqKY(quJ#ea?7f%rk2S^3P^#)-aR4!?Te!W8FD%!DRm0GM$6J%;r;e
z!EBhmnD<`}<NtOqXNw0bc(3aUu9q$2(?(19^VIpQurPp6hfZdby)N9%b_6$O4&Y~l
zb=WpUk*n8!B#%M=(boLK^eAF06*?`V_>+z_I#!o>ShJ|V=)8DBmM*#uT`0~<b`am_
z8;i%1G{i1NYU0;T-NnL)Ug8HO3sGJkM87rD#Rml|#8;7<#CwWa;*p6(q7R%CCp^3^
z?$xOmRn=O=>2EsGi{a{2tt74COH3&-!iw&oJ=s1VN6{g^^sOzJJdUrSnmh4i6S<WR
zyw0N3-i0I%J3&5<RW#rI230M5O#Vk2=zgESG$y1AI|plWKNSP+G}(+V+YRHEGJ*Ba
zOkg`xKd!jDfR|>j;*nV!IB&ovE*ra*|5WT?yD?eZv12c1%*y7ZDcSsE@LryGau>%`
zrtzT(QddB270W_qaB9wI?sHF{i;uL>>MzG=det2Ioc2;Y`^`@lGIfh^I71b>PXYMy
zcp>!p7Y9jCwt!+=IvjP}1yh!0LcMh+G)niG1<@HW=~g-jupQQ`Yy(}-G-w-`2HquU
z5dC2r9DJP)t%W<`sP%3*zd0MCPVI*-B}K44@;F!<pMjIvB3$`-4P346!AsX?5+}X^
z0{Z@fQ7b#+m#Zo`Iaw2%%k}Y_t0}Irw!jDThvSD@DMJ_Rh6aDV(0I8YTJM{O<6M{E
z+~F&+)ie@~f?`o;ahx=R-iQa+Zp3S&;?T?^2J0lgM`_j)d^vD7_H&zr<EJ>HO0_w{
zgq|3^L=HdZK7_tKPe9GE6v&M50eycxn67(6h#J2{NWOo`>4Tn8RqKi~vX(3zai*G+
z=oB?otket?$L<ak2gJ+}{ccYXWws9DLJf0qbC|Xm=-we)oq12DRa7inrny1pJbSn-
z>|$+|<Tb9+aQfmfZFGg>dL@0QpEJFkuH27zlA~OwV!H~b;ah5*s=G8hCH++pzCF+q
zLPwhj6`s~YfCC8MEhh`P<L3!Mmsbl9-XsXK#%>q-=4J~&yB!g}oIWR9IR2j?Z}vn;
z$Irs*ot<EuN>>=ROJACmn}J`Llok8y3gi0C0L$)6q5sMaU@qM`pV+<!!haUQp>t>9
z{_p=F;O<j+9rOi8y_d(`(jM}OyCHg~T42qa(U|8s9)E}dc-SNi2M*YP+$ja!e`nyz
z+d1ewq6lkmp1>IWv#6U^g*n>@6W0;0I$0@YKufVgD8j*BnYeR&9Okt8V7qo795DNi
zbk6hyYr}y~eH%@v-@hzcKKw4ZPHZRJ-(A_Hj~;&?X~a)FOxSF+DW_JN@U>aStg_jN
zPbC=e`=nm%a#D}ubaYu$>Zjg0ug%>$Y4i8A9=u~-58f-Wv!2Q%*7Znje)~|Hw`KO^
z7>NybV2Up5IP0<Q5Pcq~-HWvvdhw6q-t0TkfNgIZNW6MOHt{j!A)bc(O52dn6dG`^
zzrA_6#QPp1*Nbl))8p&X+@UPICo6C5!G;?(C0=xQF4XACYG+jW&SZ&k|3Q&$Hp=tQ
zft`5Ng?6e8YNhLAe^B_cFEsOW6J5R9K+EJm(BXq`X@1#ja<h3wSBzegd*lmpb$dZ`
zH@u)UvzIh*<SSAsc};l<Z>gj5J-za5AlZl}Iv3VLN56j~L;6J{ZvLT}Dsmj@+L<5i
zR^aXblz8b16@J#D#=n+#<B;zf92?ey`#<Z+FGuO|yU1Q_kZmAw-KF{KY>E3Vu{A?n
z`$}y5eypO`pW8R}=YRYAbN9LZIqYITzH_-RM}?U3q7%mKn`6Wmr8(qli9;H@U59VX
z?ZHM$8hkQIo!!4H^V{i)93;(P7p?nCy$}B&AM<9iSNll8fv@SP<W(`*{fGu^yDxE&
z?$T?oYD(#IOJbehAi1pT^wmM~!bDuBYL^?Nl5>-Sqi@sP7c~?jyGI|j9+Gd}W3rGk
zOLe)gscP2;>iVIHPN#mO;Tu{d7R5h`?<KMRmn(7Kmnz&C*p(X_H8?y{o4Y9M@#4+B
zIq|0vFCS~l@r(QOteFE@v%3YmuN=&qVux_3*--8}(}pMM4C7hu!&vvT4M%lIY?C$C
zoZxH43-(*^N9k|!cJ$*lUdFt*Q1Y}(>>HS+$v-};ahJtPZ1GW!Q#*cA^2Sf3llY2y
zNwZ|_=o)&q{~DbyV9H58PelRcbg9=VnsVV7eV%xfx|JWM$}h!a`m30_N!-opBaV_y
zz%iQN?<B2BETyV-XDP6)lBWD)a*n@Bi{ful<ez&K^!72CI7y7PP7U;A&{uj<+D17y
zJF)pfC5i7O<qNw=ocDj)Y@ytX*Xs7+Bc}bh)xezZ{2I)6_S^7%$pO=|k3BEEDmj=w
zBg;p-u)=Jq4;AUg{n?E(4Bgl_ek`wVa^|kS0^hzonybdz^3Vn=PQE31bTo`PuTGa&
zPU_A|c}iT`@Q2jCG>~4-V=@|cgZ_J4Nu!=0r&socWU0P~3a4(TOzmWP<`_@QH^h*o
z=31K8zLE~=NauK~74%Ve6?q?ypl7t6?ij|=!+#01F*2EkZ%U(>K0B$^LGl3C=TmT}
zV)8k3g6e9{(wP`0?egnnvbvUT@H6t=^N~9KeWyx^J4$6rY&yIv2RBRa{Y#0PD`(2=
zY|c&6-fPL1k$hx?z>1Sxd8ffd9=hI#b3A6SrvEHfjGN0z+vjtW{{mJiU%(gE2J@dy
z^EkO?7ORe*&c^ay+@S5sw#P=ZcULQ37H!Pg(yaf%H+df7-$+)ct7&F@nbhmarlY<|
zbm!3mTHxYJznaXctw@Vv2gs3P=QrY_E!E<N4i;C2R)|Ocoe}juo)c>#M6tN%HF2zP
zPt;3&Ayyr27Tbo%k)5LoJ#5yZ6<|o)1`nhQ6~pLrvp@&yCQ!~sKeFi@LR}U{knj9>
zI%b?oUdwlp+JZb%S3g3hL(6IUz6+$VznXNn)YGH+pXj~aUlJ0Pc+&Fj9PvVr&)+iT
z=wX97SILg&ju^wvQqHhwtRH7Rl^9SC;auH6iZ>3}$ciONd|_n@?{?eD9iP(pkL5NV
zS-X`VolW6pF_EJ$$MCe^P+m|ugO~X_^OGL~dC;0}T%P`(z8yME+pfh?>1s<_7k^%?
zRk<hY)%}xG>$wae-uAJu@3Rv8H&`F;Soa5ACrdaMH3VKY4T1E<Rv;Ez!1qxDAw8`h
z_$!#egQtctWkPR=jnId%C_TxQrw6^g^<nDh-mrO)5qvW<mE4YIaBb#bu*@G0mz5o1
zeYPtMUNjl1BWJ?imy5u#WGxs-PPc8ZQ^9zDCa5~^hj1xpHFS0b<g{G{^V1LDQ|3G9
zcIFqX>!yhLAG_h@FnxTO*AJT`tWl%c0ZYHRW6v;ObQI>}2ip}mC?ys%-IH+D!Bh-i
zxC0v}WTB19KGdC<gXULrq#$cHUKzO?^Dm}Loruktv@Z(3OrL|Zvz*a1)&!Sb=>T6m
z57*mQ0gaY}rwSLGbT`C`zv`7GSGF_VtyoI?_9jx1|8^SOCyUZ*_tM^p*(C3fO&5pm
zquT|0sHQ24glU=NqP2_c+;`GZ-JR65eJ5#O*+r+SvZ!CoUdrm0OZA}z^eexJwiX|w
zkrEGSuR|4Wym6Us+Ex>;e?)!-Z|Hqd3+1G?)73+YZ1+Q*mrDHNLzfIV!>&Ic`!kq#
zbd2C}5=tvF)Sa*G_h#)vf7Tis#Ojlmu)&rU+;n;^3mc-j-~Cw0p|pXQ{*L8Q+oSnU
zb_BnXU&b}pgLsm@FTb~SW4{DjKAd36{jPN5wG}_e^89VG%`B!NgObQ)h!>Tm>XT*0
zeR0vrByr9%O;N7WUZ!!j&aw1-u9Mx=w@%JEN<#0fZh~_Eu0lzKg5dGwlT)eoe@<qa
zc}@Xq7dXWls5w2oIoxqpr!iIH#jdis9wD;gw0v1W@hzE4&sJHIqL$b@#7s1J?jXM0
z=`DJT3q^-*G2+kM6tS~HmIzu0#FmezMDYlVzt-LnWf89=_waY|`eX(AqS>9k$$HU~
za5LIB)|SB6g*2{Ap~}<2w8mu}ZK_V9b*p!f#^5|!t9pz+4yd9jdv8%k>~pCT`<22v
zDe&mv?tJigZ%%nVP+}sD<O`~<eCyLx{<%Gv57e&Vo3eQRoSVwte!IB*NDik<X|v;J
zk8(uLN$EFP%CFCs^1ja}x$f8z9&#?9s}(a?tu~HL=Fa4hx7Iwsy)&ObaEP{)8Ijzq
za)&8>)xqaSG$hv_g<ajM;l`TxQ1#z0h<PT5(^ksk$Z1k0Nm~Kun8@Sfd!6uvv`4nL
z?SQJke?T#y4Mv2u!d}-_xbv|UO#S`<X0*eladNn*UuWFrtAJmgC}I9#71XIz$NtJ1
z*p|=(yIAVt=jL7*dc_DQ7nowe+5zY>dJxt;7>q}qhT@ID;TUBx605e1!kp#yc>ab1
z-cE8vpDahT{o;V}o9)pkU=+G79DzosZ1APCmDH^^#{+Bn;t5wnTzygpJ3Z)*FYhVi
z_v?}?uk;6WIDCMrc~8J*YBij)y#!y3D?o41NthT=3@PXLL&?}|*z+w5R#fbS@+~{S
z#XlX~bkd=*BprTfWx%MByWmdO-7qI*9~d9ZgSx2);K7c=aNX|&<Q^=CaVx7Ji7&y4
zEjJ;kwiY}x>p{Ht4kX_ROgr8NJ_VgIrLQuo)^^3g$9v$p5`Elvr4JT;?vK;-EHQ1E
z4aN+%!>ATVR16w}Z<dV1=%xwM{Ll+8J@CP<QdcI+z!zhB`l3tCR4f|pgDX8Iq5eO2
z{5W?EUQ4k@<GnVhTs07P4=}=*9@2BZ*ac61{0%WTUct8Ax1j#yIcZ%x1Z59*fu7?g
zP;^)WJ-^I>wd=g#a-lOUva*A%x2&O)ttChg2coP7LDg_e5SoX8#UNX#J7*6E){TK|
zuL<yBz%;OI4uq$9OCZH=E#&!cgpb>jL0X+92c^`TF)aY?prcSVsvPQ$5RATX117~k
zgmb@N!^?hOAY7Wi&a6|ye@WeNV!95hd^M7?K~f$$)f$aTMj?E3MqM+BsW5gbwj0dC
zj`hJf(k2vV{#}VvcCSPE3(=^M8H;Cc#G;27gK8@x5z|+qy7po$P@9cP6934244@iX
zN%@=Jn3mK9^*+1@)vpWzra6!vxei9;3Gm+(b*R|OLSFI;p)N^I$Vo7A`aS1PmFvK5
zGK{}2^IrH-wsOo@S!Ml4+3iWSvOuLWS^BN5GGlg=o%{5#$~t0VrC-<~NA0D<oklw)
zJM9<GIq9GH;1rjxCWIU`6-r7+2^DX>gqsT%3Xey`3V(NP5zNAO3kO~w6fC-x39mIT
z32B<O!r7s3h4)#%gr8>=K_^@Teswbdzr#|0Y32y18aozhVy8mgkOiQ+dL1NICP9?-
z4j6be7e0(Fk>=W!kT&!tRGhAd1j!HiPI}j}E=Z1InLeJ_Hvn<=aD32d3~r9_Ml6|&
z9JK=TX2jtXg%q5+bqA)M+lzU21vvLuF@8IC3_D*uiJGCOaJ1bClsx8WP@0b|8avUU
za{_vG4nn;>qtNrLI<A!$A=KFmqK1qS>V}t#2V=eHlz%4Gt~gHt;(hYI@t)f4ztNVw
zR$4aWFXg5FmE7ikDCXU7QuO>u*;l?1?*2mSe>YRTVl$0=AaRseHq+U6E%bHJH%f5)
zNqcqM$mfLA?e6HrLs}JhCMt7FwVLGh>n^Q>JtVfCE^8SZutt(G5Bb%P2hBC-X=exX
z-VZ}L=7lYLY#GIl4;}c!5rOl+BkS%P!(F$!@Sw9U{6f`*1J*h7s(%8n%W~j)cRSu~
zG>qK_4(8hE0sKhl!&_3Nd3S1eE)VX){u?^TFzz!M^?Xiq*3{6oCl|<cQ8_g_9ihs_
z60`Mp7Dd0_PHUyRsPiYJd-oObwAeq6#&~a_q%j*vu6G>WxxA4+*d&sZ&t_`XPo?mv
z?PMtJ(^h`pOI02D^f<MM)bozhiQ#9ceY_|=i>uV2c!#zgeoQ0pzoF9!%~UAyc9QJm
zxpA@z=N{<J1FUqo=Nki-RrQtD{XuMAG?a&B+HuQ#f%DqNa>d9AtoU~_e=_xDqXd7B
zYn{a@)8=r?in;us<y`(UCy+D$2Jqz;U(OXKvsUXk&T|mhaMW-fY%!3x`blSE$;**^
zLXK;`z9Y@mw`k(xGHM?sF@OiBkm0B0lsIV$jo2`n>ZbLl^3B@xRqR5C%-h9X!WXge
zTZ8Bu|51z)K8g05zKXpc{t?I5%hP~HReIc_MZ@m(mi8n4>HdcyRHbT9H{Q6?{zxDC
z_%M*l6vL>!M>O?NO`_{t(x`A>7Lm(-I<)O5>2Enhx12AMIaSlUZuNA~u923EZKHLD
ziu@zBE3cJ!*L1xPJEWSk=ZRtL-_MDw?~P*>iSILZ(JapDSjhTjD>x`WihZ}mvA0<w
zm%iJ?;n~St-7AF)h9<L6nZ$K@8~OT?NWOMs2`9bw<G8u59QSevtLp1<x#XmyGu71m
zG@q^&hLWDDDg82&i7pC~_c2)6$$QL5;ZR40Fu_d}{#<@4EE1cA&pvH}%F+(uXlc6;
zv!hiIhkX+sBsK~#;k8h!_e7|kc~6)Tc2n?7z9Ni&#KNx#nUEh@DcFBHFWjxE6gFFm
z!mv&kg*{%^gm}YhA#%w>A>8Gq;CTF#@b6r!P%&BodPk~5^x>Wm{ICz~)RJcOVIv`<
z^H^wj;{)Z^LC{xzHFQ+PL(Qx-i1@h&wr3rJGc(Fy(xgi;B&`-qhr9#9r4>3_lrUOd
z3oF_Tahq%qPMT(iJu6)CzeiK?<evGsuXYvAFx!Z#vr<q9*nwrQ_MmlPKJFiT2tUm}
zf=@P<;5#Tm)ggy5?oR=ZU$Y1297sinlt?T%ISpZi6)uuyOm?BCVVj&Q#I{Zl-l^}A
ze7ttl$v=s<t}3E$hlz6L+@UzFr*yyXE1G!k4gF{Nme#4fAvx_=RCoJ1E!bO6x%7l?
zEPG4~Za<<w&5y|Z^<$Dh{*-DYAJ~isujqx8hq~hPiGE4$7V{s!sa0Z2JR7CJUOSaJ
zL-PK0Hr3*L&bpFI!hnw`nR4MaGhS&Tc_|J_jL+_N{2LuP&CHpd4!H7`91lMEV<J!A
z;>GDM-mKi&hi4w~=5mY4?77mD|E%}mNRP3+_^lJ43L42iAFMcWcYp3D&6n0q)Z}7O
ziI0Z=rkl@Rla6@}9Vo1#QyE8T-k@yy5T8b8PHiN|1uLlZ=Uk!>Q^`Yd0!>sOOCu_P
zqHZ|RynjyArjNAbtqZY@2MvDgMJnf~OY@I8H2vCQ`gw0P87$sFx8Ej_@8hj>)?*h1
zj?ST%B?sy7;p0-i=^O=4m)K%GZ_|&Jk0fryTUulBm40vfN5%gs@x{K~IJ~+iYhE?v
z(VYjd%_=LNt}&8RMS-(I#&K@57nfPi;QSwf+@QCRy=I5<b!o3ZbnY51%w5aWWgVx@
zi(t*9mE3t+C@;M>pO<|0<M6K&Ia*)f_hiLMGYt81pc>ns_)0Mm)g)^zp|zj3l4I$7
za+Z2`*AA)BRn42?s$S`0%ZqX1+tc!5PIG}QDtC;m>CES<TVAKCh5}VVyn^fr3$oB*
ziLzBnr)Ac;Z)C0y)WymB28!z@jupR^%@r5UiWT#Zr-{zfaz&Rp$HnZoqByL*MpU@+
zN=%#cLma+NfqviZMg}$d^gF3Pjn=ZEuSrriQr?sN@@LYS=up})GnRJSC)3x44BEe5
z>N+ZwP)Sw={c!t_9+^F&!0`<<^U_}$C(ZrrTebMjOe4M?Gl<{&jbxj*E__$rhr5)|
z;frUNv5M3W%MMNAi$}Ne@35UbV#Quw6r9K7TMAg|)B(xia)7ri-p}KtoI$cn1~)(3
z#EWuQNoRto+{<_<yGUNm8zXPfgc)(PPX4bL`}Jm3m-(WQ6Fm%KwycsmI6Gikf#it2
zbP`-AoP*`QRj{RA2JXjXV7a_X;ys;*#s8gy0h(vwtE?R6|1E=i@5%tv%i)sRS@83(
z0KbGP*qp-fap@Isx3~$1_$~xlJqF*<S0KqiKyUgFsQvX1{vB4tm!)d>sfQMRB|Us{
zst-Co8-UHjtuXU|Ejsj;IuubZIHY7edMA71=cefxRx%6s@0o{};uoOe=tY>dc`<_P
zV)Sqi!Mm&GqhjT3)G?TjtBO3aC2<V;wT!?WR_6F6s~3(>Q^ScLenY@SDbL*|gAK8T
z@XKop+zej|zL(wL_DM7NuG1AhO>GvIb-gX@m|G^q_!J7Z&vpyr)OQN?ZPKjad6tl(
znkR(4FBUrflnMLaT@)+=?g_#D-v}oRehM`^6<}FmH!!u=hb^=FfnRTH$d7b@+1uQq
z#}Z!%?i&oRZmt4<*a&F31=7y!1nZVu2zw)OqV|`=*-;l^$(b4mHGd9f`#!_CUjIOD
znzFPn)kI-SZ#?j`KMJp{v6rg@cI!G0LyV^2GT%Uan!E&qV<OP?*9L6DB#io;f)SU~
za8q(RHgxPjt+zXHtztUP8@?5XOy7h7VX>GvXes6>Ps3Pq2YerDjNcx~<KhpuAw4t;
zmOUL08X2#IE263}@L-#4Ttl(AvU7)c=(G{7kF}-xPcF11+>>T4@FDMxDRkX#3h6XW
zrnlETX~4Ac6eu^2-s+E~>=(}D9EYS}jI`$tQuU!RlzGgRE`Ii)fG{sAAK^=G<7bm+
z=|b{cw}OHW#n6R<M4B*sE4ifZq8(>)NwKP!1{9T&W<1fLfLnCg{t2BN+(0?@ZFIa`
z^25LG#={QkvDqI}?p{BblW-LK>W!7y(UUo&d?wEvwun16uVx?n4ZQVUA`h)kVKUyv
z4S_rORKQNYb$2JbCT8#im+gGBA%!)=;`!c{Rjl!27XR)xmfOBc+^9op{50+<P0TK!
zv2Ow>{#2`Y>|S5->D*=~xx(YZwKa;Ms51}_TOfS$@`hzSXM$0~TzIcNAM}m}!R=jh
zA%5Fz7-baz#&4#BquMms`pyS(4tYc9a&Nd8=mW3gr$Tk(bkNG32}2LggPJajA^rLa
zxb$N^G+m2_c~eqAyC5CP&hLT82MXYINC`aCI15t?FG3fq8rXiO9)7uh0=1?;;OC=+
zogKTQ>S;anIc18@!w2J4>6|ER9fL!iCSkLoKbk2lz}U*=IA19mdwIm;cE!!8);Sg1
zmA2uBy6qV5kdE8iw&BIMsaW%T6YhR4y<3gp=$0RVAuC<*r{y3#EM*%?d%c6~2`Avq
zqDZj!?*k`d_6c6cHJt9ogV;Iiym<Gg9L;FzMG6LkiJI-`k|@x4a;Bw!ok?ygQe~VI
z+4QofjBO*S0ESaw*if3}HAI@#TakX*VDedDMS+8@>5axPGSnYQT_-qD=y7KXb@w2_
z#D@}vnN)IYA@zz}Ma7RckYed((wvq~ZrAscj=@0^eNWPW<SN=i*J*_EBl^Ac1MP1A
zO-X@@EPLLK<vaA)u%fTTc^bmwzK!O?)1<z*$rSb&HiySa-zU!{k*u#0&(r>H=0N{6
zKK)V3Z_Uf(d2zdW!Qb87d21F2cVuveSsLqhB(naHwX8BTkT<)yu-@zbTpOswyFT6`
zxzz2nYuqq;RgfbtoB!O=;d!<ot5t@LCu|{9-WQIigu-O)Xz(xI2v<HNfbWV#m{*qo
zZCm0Y^K%@8xNd-e-7#?1cRjpTiUO*Q1oKx>;O-g&M>cJMIcD*&ZetSo<fXv3*liFh
z@w?3T>;w771+e(j5t#j;6sBd%z`*T4NPkodv;AH|?CsCMquN1rk`e~4?}n%Q>*As@
z##npX9A{Pz!=gWqn6Y{sT5I@VNx@8<C%+ICeutwaM55!h4QTI?fX=^@Fn#}Ke4w9<
zZZ?~7)zw6drZ|inxDG$<UW`Ar{cyITD_-vyg89<>SoK~GjihhF;KK)CMeG`gery4=
zdfyZL*1HIK+l?K6TdIktRz-_1z7>nTe_a**Bc6yVDepw@?v3Kzq6Tq9<vTGZ{Dr7>
zu1>V}t`Xndxhg&^7R79<vtp2xEqrTyRNR06kQi~RP|VOO5Z@K=7klq45Qo<u5N`w*
zi@Fmff5N6x(b2F{yr*$lT)CuL^m2G2DsTHBepvTQR997?h4x)(%p6_XnrcePwN~^}
zdgsn}A5V|${HfsG5;8E1rL#wpX`#(7D!aU&ydqD~vk;Mv6jjscNiV5j<#+Oz`UD}@
zx=Svl-t2l|AnR=#A?4V|G9I78ryd9Kj-9JGZ^}k?e4E0zJu-Or*nRw8VgcKoDCX*^
z$JnmZNlvvp$&s6m@zw1`?4X~^4|UV|)zuBGCAk&~)rRr&Y$a}-R7xS2o#<$5H}ROw
zRiX086mU$)gtSf-P$gxO78$;Q1J6IhkLvHBCv~ikP5uR=U;TiP!f$ZM@C%rp_zZ*h
ze}X;z8sVdF0|a?Bzy$q95YBu8`9aNaf9Y445%m-7C;ownizS{<qC8Ihs)XAPsbWP=
zH(XY&h4ZX+arl|uIBB{u{--2;qe{)O%F7DNuiKzf_mQZkVvqIvoiO_{V)G0aOdscp
zrjc$^x7ZCw1i0bZhOsEbNZ)H6z>%lzaZun0d}(EkW_IRizgOx*M(Lxeq9*p9t&A3n
z|H1otpP~GFJroDthOFlzC}f|4>t_x^zO&SO9=ih)s#4%begf3JiiL}H>mbr=wbb`o
z0ZUJ<06AO*-C`ra$YVVW7dODB*aXO|-z@c}w?gf>446HB4}89p2U<@K!NK6;kh1Cw
z1gH@7>-V4J47m$Rzn(()srPWA?JJ14JK)hyMbuGJ$G4}o(0;eX$u2R*FYnCo%!nbV
zx@81v-*v>l%`RAWZ9F!Q_Qo+L(=pF`Ch8W<LFKnWc%va0uWed@e=>vd*6(?!vTHV$
zE|`JKR!v5YIycm)aKPee*0|!ADIRRm#wq)hu+QNZ81}Ljrme1klK1(LlaT^DBf=n}
zeFDs<AyBnf7gAgmfMpFr(WhEL+2V>&mR2PgI#dXHLFa`(lSxQkcunx=drv6s`9e7I
z@w2dL=0Bk|PZ^%tYr&J%2C!z58O*<C12;Z6!S3_p;fLo8xO{p6xU{c^sd*bA%wr2^
zZ{7*t7v@60U&YW2WsvK`Fw)^R7<73Ghr|Zh71jpUX^LpEup8dEpo{bNnc$_*7C7zr
z2<&<r(P{WZ^uIVA3w?s{#i=m#Dp-e6OXKi*rz8~XlkwY)RP@eB!_NQG5bCy~*^d<L
zJSquu_Qc}W$;(iuR{$Q=9g8WQE%A1lCaxU)Sz4JYpx$^h+?i|#EqZqZ%NN~+ph?BD
zUJ;4nMBCe<*xZQ@sP&|%%O-Ry$Xx2845okwgK2(>C9Q2Rrz@KV(1)j{v|vmh(w8@&
zp_BFL!4zF`8l*$h-u9&LJ9MZ-&?B$rUeu?^h%SWom0arPR5Z$(LOkr~uC(8AX&O(X
zcKK59mLR(OVmU4I*+Bi<Hq+*1JLuTOY|54HA#FyLQSI6bH1b{zeVp=wE_eMxISHNE
z#!`*vNB88_>y6pc%#u&6v}21IW7(LzIXNXzS_?vX=H4g{woc%wmr{7hz3tq|Fq0K$
z?B&vtIXo{omn$=JSTSlZzk9!vuZyW1(S0Lp^jgCC5>W6$>|mbjuEuZP+#!#mG^z{i
zM{$2=h!b**h0$x91ch{4c<^XGoH`s2S&G}CkJ4_qbs!riUd#m>!#wbsoC}T5vSIR|
zeegGS4-^>gh8Bw~sJM{{l|8cHZjaq?`N1BjoR<wV#XLCjsSu7f6~nuW$KmL*a+v(1
z3P$@}frly8up#deIHkXVWpi2}xNAE!x+|i7ggS<I)y5$T2H1T{KRo-z618sIV&;7(
z+|%rayV|{Q>*E=?%Wp33_gI8ymxW{TmNghNBMN0{G3c=}7TYyq@re9-%nMqBh1Ox{
zx-<xvIQrt*S8mv+as-BAKm7bh124C>!GMFcu)fm?*#9mS#{HTJZ)TW5Xhn-~S!KU)
zP1Qw^n<I02^L?k|;&@Hj<zwlxk@IA-!h}1rCeu4I)f|@9mK>CA4%#RSSvOp^`9x`z
z-1{B&^^0#hrqqvfviWbP)AtuwoW||><@C6thhVN}Dcl|5B6w~H5I*!<B@7&tB)Ip@
z5bXBm3x7`>7pxOxg39RI!qRWg1e1p?LX1*p*fU!l+*5U7@u9vDd(|55DGQLh$rDBg
z&xRov!=dD59IU;P3Rt)sg0~%nvH7JS_xU1NZk5)D-S5C>KpR*b=z<T_dZ4mrA9N10
zM3>OfI8o|Ce663338o<^|9&mjtVzJ+AE~%{<SrcEmW|^Z3(>duFm_x%hJM#iV1m;L
z%qTsI<qr<vs5N`BBR3U~*h_!c#T!+|nc;*_KcK=Z2kJl<=%SpX>$!IE&zulCcq@ng
zWXNdH^!ub<_(pPxe5RsK-{|D^?=&&|I}N-3l@6|LA;UjSq*~lapDunR*N6`k`T9K-
z=t}<@eU!L24P<w$iOg)i(7V_lq@UhKKL^WkPKZ1|{2_T#Z>aJI=^Svwwg+pU)n)fU
z13qMG!kr}_M2;wN8Y73WpVn~B4!7gPjSlQT6gXhs7=})+{P?RIzcqH}AFJGX)AMm`
zJjsoN&%5wo6J+;z2R3RM!T(7)j(S^j&K+;U51#9>m7(M(x9-AjTmI5<tw!>4eoXUb
zUnj-==V_qrF$x>8pYE1t(#!K(X$2-xy8Q-vYQ2`?<Cl}1b0}>ZxrEv!R&J?sC{c1a
z-Q2O7c6DA)+h)d*=e<PAd6YtpA={}UCX+(-a!6s=0jjP(N`qS@FX*l+D!O!qjHGOc
z?d8YRviB{`mH$HafBw<|Qs9VjYV4w^#ZnK4>n2Ei%@WBEJ8%d$9UH-sgPb@mZY;}o
zPhee7AI7ya_(jVso{}_=Kd3L@sL3Ick9-kF%?)9E70ho_=khnd03I`G3RlN@@GN6N
znoHTR*}i^!!$?QsDRkj=oxjlG5w(<GdzOCB$)&_Gn<#M20-E-43>hBlPw(!ilfnBh
z;*lx$#QyD-V#?bRF|OwU@pgW`IOFtwadOHbQ7+-Q__b$+`0eHu(aY<;c*Os$SXA{>
zym44T>QQ#1z#n=P{jD#(*gS+>FWS?ol5x~BV;T*85=3RLD~Y9fMo+^Oa#@!_9Gye+
z?TQJ?N@;;S(=qGY<mK^{VgefJUicpx=dQ#r=5%Lud3_!~s4s`z8O#Mu64xQrg~{Ga
zx=#+^OEwF+NBaua@`>U4ukq}CbTcR9r%LSpZCo=gogYYjDY?<xr88$LYhK>O9@{qX
zpXbYXt+_uh%yQ;MQa95X)Op<97v%KtFtx-iqePiD#mw3y%9Ui>uRAqYs8zTj*gWq7
z%k)g3GS3E#J~&F9UKfaOb_JVHu3*r6EUdM0h6R_Lpl*ykWT;5rv+1^=5i|_;OtOKO
zwl<JtJ`7Hdw1w&rJLrDZ0g|RVL!aL6l0$4VYz+2;Cx3&$<kK?fkI}FwArXvAw!--Q
zOo&~Q55s#&cemwdV5;XOnEd$;j4XHozam<oYn2=>e<*dixAwqcFAZ_et%0aBVK}OI
z0cu>CfMMw~&^Ij@d#0>F^S;tO+NeZ4SeJs0|82u%w=?ivekP7>&q9;ES-8q^7iN`i
z$LsHs(f#2D9PPUlo&9~#A$<h?Q`W=E+AlEdaw$AeSq*#kse|@OC&BpHA6esY7N@&w
zQ?1ONBGabRnl(%4k@WkyW)Vx3M>o)uGaCr1W2yRVH0cIMQq{l+S`)O2tb<mN?d;`L
zxPCeHe!7DG+q#<G6s)5=TCwy#bt6SzNunxo3;m5sC;861$;u~>qNQ2!uF#Wo$mKkZ
z>$ptz`|nWik<aM+g+{9IXrntH6xiIdD}Qh5$w7nqaL(g_{PCL&Uy#^o4-Cigo4?+i
z^L!?6%UZ~`Ez5aMVHE3@#&N*%L|!{{GY5}Jk$lZ5+-tNnclfr6=XXwE+tbl(+Iblt
zv6{u|2i*DXUmNb!(u;j1ucFD7d*t%DkTT9Lr(HVz=>9U9Sb0WE%$h&S=|<!@;mN*S
zVbYo#Ldbvyq3~b3V6;a8E<95LE>?mSWeU)`w-byk{Ue+|@J-louu*tw@kX#rtrwoF
z)Cq@f-xC^IYlPU`YT@dQYQZA$jxh3GtzcjNNXW5yAv8?*Ampfh73$Ws3k{x%aO8?Q
zbQ;_fZl@Z7$*+OnvvxS>n<4D(ISC>HX2FM^VKC)*EOb7S3@^6sgjVUj3YvZlwC78A
zi-&H&rr}S)$M`e!5alp=h#Cei)WO?JO>r&^!7PafVLp63w%Yn(0f*qJ;<b3?VLbMy
zE%<JF208}rMZ2VY+_3y0-mWah>_3Mw_ewE-;RAT|a1MqCWnhJ3621_ZN(>@*?Bi*I
zUmmu=cK<y1rDP7uhH}EzNhM;3=P26Nx{*v;^Xc~GGn7$&g)}W|NC>}Amx>?KgX<4z
z<lYA~@k}jgXWpgAj2fEv<u*NfdW)8?xka}h+@iV4)wH+A9ZHb0bDilS9h)VsC-+{`
zApH*%AY~M9{{2aVQ~puxd<8C^uEHm?x^XWfZB}_9Im&CLcc!U7k1?|3CsS-VYrP#`
z+~CB8ZZ4d3%ALPU+_@gVyxA{h8pqntV3~ARG;gjy7w-1s{o&Jj-Qy`d^7bTN<?YU^
z*CMZ)YsbAtS#is-zWi&uE=Odl@h$Ct<UaE~^-HLspx+hb)$I^@ciBnD)D!6XyinTv
zc^bXmGlsSgmFDA%2GW7=eW>%=UNm68E_oQ~lGc7b>fg|t<SLEH{@nly0xRk6a0H!F
z2Wp+_LBAuXQp?&oq~#S#cRNRs>BI!Oq>)NSK08UyActC49HL%9C+YN$^Q3BXmAaeW
zqrbPF(|d;|Ldn;fZLi1*eY<jeXit8jZ^U(mW*ir0&71y>;yLHWa75fh4jkpn`elI}
ze<_45t(J4*iM716Q!K|VmU1YcH*(sXcpj6#kw0zSz=;-7e9(V6@2r~7g&U{wbNR76
zs%$8K8)(SK<&^o-rMI;5VI}RHD0w&)gXy)Y8L2wF6t|5}5YvCXmj(8l>k!jc<#g$#
ziEyTVl3*XdM2H&{DZIEHE&NnpCxrA46FRDA3)>G(6x3@*30;Tv7yM&2gjr#~ofPKX
zaoREQsFQuzW+$(UlbsGa_jKAgrNXgmVL!*|O>fS-ee$aM*}JMrAx}xx_{CB-Ti#n%
zH+i*8)iPD4;+88bFFh%fJAO$vKder+Zb*|%meEO!n$T6OsMi-W7Mh9m-A0HB-^Yrb
z!B-S}EfTk%j28FoNfsA0?GlC1Lb281w3rZeQFQjXF9tMz5Uo~pi1)jxQIMt{wa*?v
zlMF`CsKst1zsir&=ZDd_5gX~^vovbCnoWzkmr#6d6)D-(&~g7a6gQ`h{B2d(aJ&wC
z#q{IiC&PGQkPE-*IgRJPT*yO<qxfm|CjL5L2m4iIvq$$L-gf0A2Q92%^&sXWT35JC
zc9mD3yv(cJM3z@8<@a|Acy`@Z_TImkk6jwZH_g6MK~N+WsmhDjb4;MUbU!Ta{RWDp
zPO9NF1N8rGhRd2IhTIYxEL=GZKh@cwU^f&sl!oBtbW42NV-PkUHp3Z<`{SlrebFY#
z1dqJ#gUMk=c)y<^-j+CR8(JjiMyozf)X+yOYdzfSBYCh^>tK(Jp1Ag~HkzF2fm_dN
z;r9|vw8+$u{-5sX=hh7`YIH@utA^XsRPmI%3ciw8#&%M|9~%{sCMlqsnLPSQY?DHT
zPMF_a4$bFufbzY+5EStTMoejg_X}IW`|NMHH0C$_Q~M35`5VUh{Dv8KeuHarE3ArY
zgEt5Mz)*#D*qhM-3WMY@zE3A?9M~BLyU3$Xm;$;VQbgwlCG@pb#<K}3xV%mkmkm<K
zn24_EBX+}-Ki%=Hxh4j=YN3H=4~%luMmx=(XnCb4E}Wr*cufaqY3SmALv*pDpDzCT
ztb?Odb@0`{o_Nr$CqA36jqw3JaEO%_sz1}f+OY0;{(V=R<)JR+JXG=JYh`rl-vvhn
zD`JnM^4RHbC;aUvhhz4(!;TYeaJc;!EZO`6?#%cGPgi__>?h4&m+={za+{#PToY_4
z`vi^RCpci#1T$)yV8Ff4aI#+u47%_I{ENQ9;d?)z5B!GUk8N=KdOH+`$>B*2>6u=Z
z$AA<?+%T&PZm?Iutww5?C*Kvr-*v-{7c?ZMo)#|h(Z<OgJ@Ld=U7Y$)54Fbk!aGZP
z<FVNW*tL%#o;zrWa^DQGM$QNy+%m*n(+x2pPht!nlsMXpdg1yndYJF1i`r9q;?B`M
z@X{|0>`3p1Bem7>_C^()AwBnXUJ7_r)(LIab-=5Gt*}G$2dG|cfvCHmAlmUG{ObM=
zEWBRB_0BIr#o{?!xLyxgubzVO@~0pl@f7-heF|6V>mhICb7=qb0&Wg?4JS^&g)TWC
zpy@>;IIL-g1pjZKyy+Jl{P_nKddXpx*cmsBRg}~ZU2y3}RUB&56;s}H$BGOsOmdJo
z;`ep&gKsZ<S80ID{u<$mZYEgXV2T}^`bnI}{&>7`01nMJ!+<|#So7Ts!#0~?X88d0
zj_i*Kb$wCgj>HHL>4R&F4NzX1N!2;);I~s+81u6muI;UcldZep#xe33B4tKTj`{@`
zTAQKWKw^NEzk)XppTdaLhw$UYU4X~8Va<B!JAPB@*<8H>mlj`!W9641x8M>i9ef#<
zdR~FUa@U}T({;#_y9HyMYXI9NmY+o(q+fdq*KfUqU$*Zd@XsgctoIF;CbYtMBRQ<w
zBaeTFb-~MTR59yNH#AtSg=X$LSS<0*3Z59E$tDvV)uTV^hD&=-iJSE*+zLxtt#P^0
zFr09AI6mnz0?(crfj_T~z+$HnxLCs$pN$%Zy63I&d*)ztt24)E5=VSmxiOww-5Y;A
z>xm{^H1M#pDu%Yp<I(m%(p^al)T_M($3>6fbwUmFTzeIwd_|aJbr#GNPeHqsZ9H0D
z1mT+xK>b9C!`PY+E*tWpwk{w1zVC<e*9xK5{Sb5wI}E*s9FrV6ryzIE87RCe^{<a#
zfQ#Dyfywu3u=jWfuX{-E&BXVh`Mnt?bZ&+4QJpZfj}nsP^Z7GJ1DBoZiGOu_<D*T+
z7~0w&EdwlYX}&csJY$Qt$)mABUce{nWAJZ^D=u5$jxGt~G2rF|Ozb}q%cCZs*98w;
z^~nu~{~m*J4Nh2BV~6v2C>A_6$0TPH{Mt_sAD!%m8od?qyVQ}&Nqz&qvb)fu%LRzf
zIR&=Ir5VkXELgfP6%HrG!^vLjpvf*2_Bza$vVOC`+{hnHQ)YlwCqFQq7yzdr5G+s6
zhuRHG;7i&{$h)#0P&FP3%QwTmH<E8BeHUbk*>Gd&0SL-1feK&gZgY<a$xHqN&pY>^
z?B+ArKc@jIxBrAS$0VO#pu}kp=#G7}b?~Nv5k9@sA6t(Pmb`<um{Z`0Wn0Fg>DY-F
za(Ig5Q1Zt|59i=?=LOOXVlkes2*tYr%kZ1eGKrfNiaqu%!Ut!9aOULzJoLaDy?eOf
z(zBy*u8sw^N_VJL32J!o@lP<A@esPZoCD?2*<e+=QF<1BQU=ZjR3~V{w8BOq_pB&9
zew{7s(@YR<3k!vi7e2zS_a4HL1>=QpM|^}(hq=PO`c*>Bl|<pWkRfbPD-b+eP6-3A
zUKI96+!qSk-V5HIe}sNw7fANhg0?w^(5P$<W2f4JmcKKAwHK`TGz(r8g@Rpd3^-lg
z1Q8MG@cY$1n5k0)8K$LBtjiFqSPg6cNL>CdpW)2Ne~@@x8RtoB<Emc<m@NJF9pZ=K
z#XSOU>pua{sm#F9rom|7v;wDgkHs&e6S3@T3flkMhMP@x;tB06JiKi;9`)RfE!{Ga
za?{b`t(50`5r>A0!q9j6RJ=IX4sEg|cAw{W_#9sjjdBriMWZW3y%;UTo>LNaPhAz|
zX6upZTA)ijlQ#bir^SuY^hr<JWABfb9J%py;o3$jm>Nf8kH*p#!)WrF9Z82m)>6dE
z2y!lppywv*XwQ!*s>_O{fy*{hra}@0&Pbt*@NKlrYZqm<?jyVKLh4<4ly*Naqr{gY
z$zQupPP-qFzW-~g(E38ZFa9Invt77JO@qB2>v6o1DNm@eV4v5vjIO|CFFkl@=2TXK
zK%Rbd5zpAal3&)Z=c&pYxg<Q1pZ(dyW~-C=_=#kG8nc<Dn?#=EAIG<MMzFSh2={K8
z##R>2{BN@bPr2HIVa6}|(fJzH|J*}<7v|Dxdp%lr`Is2Dq_e0V=i(H*MG!O{b_uF_
zGGR#WBVmnNqmUBzUGiA|625!<6co>W5yWndg6pu?LU{dS;me-8g6+fWLdDCALh-jM
zp>+5;!CovAE*G2@o;OPFpM9r=nloiWv(q`@i;Yb9y7Q7yyZEMXzv8~2w&jJujh}=o
zAKQe76BHpyr5ijrs|$4!->qS&6<jy9hr?5(Il#;5@bygy9E^^FP760dUi1#wvMU$H
zUOEcShUcO9%ynogegaOapW)R{IlOsV4NJ!8V)>E2IHAcJ(-b6z-Mfi+Cwe9tmMq0)
zjK%}&rTacgL#30M=&qcL#^DEW>!!n)@}dOCDjvt!gc2OwQG|H|^YO{Yo#+&pgcfy+
zQE#>jPV3SOw<gzvqQzzyE!Q9@+ntw<SkRp+4un(2q+ANosU+X^HB_MZjJ{dEBmYSa
zlEbf&j<q+?{4pQNO71-^Kk$YE6JOE1XD=vQ;&FK;Kc~5>FGwx$CB51DnnHKIBg+*H
z6xyem?(g_cMOWJ>s!mSYk1DXqd1e0DyDQ68Y4XCII&8eRH=n*>%sT)2^J=tUt+m!{
zvcs0ItQ*a}rMyw#)G_SZ(~UzNJy_$^1b*!6$^Wz`ap+x79<+WUAL%llhc9;H??ul1
z>be7)ys_oy8dkh-ReyfqXuvjmw4{WQGOJd$la+4+RZ8d0O!+Hhaj=XuFCL`2$lX-?
zDwWFrZX}<CHMHD)5v|h;B+ts}q}S#{XLe4ewNoaO=|69pJ#QKvn&M9<kItct@gdS|
zbU7KdN79Sc8_8(dW_s{GjW*QpqEX&Cv~=7-+I{gD{keLEq$&=1#oUl`6Ay@XyrhN6
zO%!F)M!`qr`Q9#7*1GjSOXnSp<^TV2o9sQaM@3ncDBaifx+*R0q0-)HXnYz{DHM`f
zq$HX|OQi_+>m{Qy5~VV-GD?YvsQ6yLbAHZo?mrxd``p)cy<g+`d^}aiagGl4N*R;x
zz-Tg2v!iR%oTzd?kZkB|TJN!l_O`8{)ivu#PGc+euJfW*0lUd;_Fme0U>}|Ou$MZg
zd6Rma7x}!{Oioqq6j{5F2IQyHjC&I)-N1r=<ZDornk20sXvaTQFYxh^+bDTF44p4~
z;+|CkoaL#F83($Bl`^@)|8AWZ1{~Za%(I*(92~L`iX>?X^S-DGy*f07ulkLJSxNRn
z#b+~x(-y85{=Rxd*cllrob3=V?2b<pPI#Cj{JQtGaC<|ekYs)dE&U|$b(bQJYSqCR
zd(F{4#SWh(3UHyfD}J$c$KQWFaZT3|9IJjBvl}B2y)R+Ho118;@esikvFCIdKK@XL
z`tv(+Y~L_W*)@Vr2B^_t#(>-}kD))Y6Y01qM<2&7AlVD6`OFzl^6xlE@pn&Bn_)1u
zXok~sw{tWz;R0R0a*0kWTqfsB@zf)Jkv^%Or>fMmbh^@?{&?=D+pbH9g9&7GNR4cd
zeMb4bYxq-jJ}R9<p~xK7?B-8b7@x^1Z2N@i?6(b`?84HMtoN5Qti{1d_VVI$?7=DL
z*@B95tZ{ra8z~aSj$ItVw!aQzty9jja-wJ1j;>I)Dda30QWM6W?ucMBF`Bhr7t7YZ
zyu@0GC$TFPZn3#v@37sMAG2@9<g!O2i&&cvZ&)$WIyOP^3;RZ_j}`qP3N8yqz#l^u
z5M84KuZE2wbI1~Q@bkgms;MA$dL}3^iy)wS6&Q}&4BNzZ!ZrQ>z-6*8L`d=TKU04=
z$7@Z_E(?G;#{RG{$`5jF4ufFrE^sSe58odz1am(DIHg*`<<}Zu7A3-KK;N_dKkl*z
zJc3!zy!q_$bX8VlS}rqr#X`n6HCT{rZj!r4vM=}cI0xZ`^ff|pwf}@BA;*PEzm5x2
zN)8E+o9_^YKXw;d)y)zvd@w<{O3Fw$$45?h;%{eeTh5DI^$XW?i?UDV`u^vV`%Ydy
zS5qP_r>t8khy8BhZ1iFIR6%O?)Q}Ph!S%Q?0;$RK1UjR=1&KR@1q00&1seC$1PZc3
zLFkwY!BUr2!P^Ue1Y5?9VEQ&`F!RGrm?h=5jL008d2PIiG4b2PJdHTWMAIqePC*o-
z+I@v-*?5;(IyIO1apN^3$}>88U-dKY`=nWo(dul8u?ZV>!j4V!;@ET2%h)7854J(f
zk8R%^%9e}rJ8Ir{y=7A-+rF)soo7+ce!*V0c&rqRlTm}GBF3=F*cRlxSvc0Q2#kU@
z!?Ll5pmo_P_}dTxwSkvlp2$tG>bnP@dY{5}Z~k&GD1b7-3y?A`f)51*VOO8P)x*iK
zf9E++<A0YgSD|4pU$aKUu($8TG5H?`g!$g*u&e$f-Z~^rvto3~-+L4lEwtf%wBu>8
zZ32n&+`3Yg@$}}KEzLS;O$i-VRK05qC2EeM_utLP=(h>2m|#p>`Ak$_TLWIpHIgLL
z^{6vimk#*r(4dbtpU165a=SH2eX|B>FIK0ylho+4swzEbR;Jgtm8f#NBI)xSM?YTQ
zZ{sUV$)iTl)wk00H&BX_1(I};_eW*D5u<kxL@DyR2o<atM(NmpSS|e*Z`~clSz!Yx
znerQ>MSi1pOh4Lq_TzV7J_oI|A1AN=jS&_DINE9uKW_VjI@Nzs?D!Dg9wS28V?-%$
zsu;y@5+|`Z2|8ILNdbJ8@XVvUkGX0DEw-1VjiK`NvQdGIY?SD`w=&(jrb75!mG1Bi
z%-$Sza){I*!E{Yheyd3XQ?)4JxE3kIYEj8aEoucV8mQFdbE-5cX0HbMpHL_J?P}yb
zMwM>8P^RM9N;Ln00?A9rlif^NGWC-ok4I7z_C<nZ&BbZ-4pH9YK8!9K|DuZb04inn
zp~m!H9M=4acO1G<;#Md2d49*RfNwa|+kyA9JJ7AB1BVxULqnbKcw++3zD)dqb5?Yt
z;;J5uO8SKvmcLQ7dl2J){KJ$85t`15(G_w2y}y?vU%nP=xH^LJqU31MpMTH1KQw~p
zd+xSZqX&cPWSpi+-k?p~V;ur9JsNL1lGN1nX<R9<6`p56$HNV%Gs1w_1qP(?QlI38
zMpAjF9@$>jC4G4vy2WTwud@b?l~p6RyUOHjr$`Q$<Vb{PN1mQ3MUO9u6Ei46{Z)T)
zcV|D2o85!IdOERb;48XqZo@y5KO_1#;y<n)Pamnn_tv#&zorJuC2LS>R1NPFufd)d
zwP-l)6N-&#z%>V&@U}$@T1;%mviJ_%u;K^0ZS28!kNWY-?7t{}R)lsaiIZuvBy}v7
zA#*u7UhA(wE5ntkb%7d*No!IOpPg6htVc)F^yzG`A>EPZulH}JB!9-7_BL41`Ol+B
zFJd$uuN_Ux^G8$Yw9!0=Zxq$>^~lkwW>l(XLJmQOH2&&Ha`e)nW1Sk5>!?aKZi;kb
zl`Q2fkfI3Qx37HZFBX07#S{MDG3#tAe$Z^derrD0ujwr+JC~z4l;DP6FL3>;LNwaV
zGn(w4qdo8IO-{|j*DIf6d}2P99xg<!`WMK(Dn<eC<FwSR#3lRQqve!ZwAs;!wS4V$
zvgaFG2zt=HdH{pgi_rLA;v~E&O(x!Qbak#0W%Hl4f`JxIm((MbdIK^}G9g3Of^zST
zp|?$A$*<Uk*U;Hht^Wi%;ov}CTPD$SaXw3s_YQyFG>I%V9q5P71bVRBj(+Iz+VN4A
zRFq&&iqS?Cs;x(1E*cc*phV{4BgnHzjMsDy;OeR0@f$UwpsNap+Dovt;5lZ;J;Q6>
zkMRD&yLf+c3QAkuz$>~}@%8W(9RE52J$(}}XD|U1rzWC~(^Zsjx{e;!$v9gh4ZFhb
z<BM~ALa^~Od}~7(nO%eq`DOTKS`~&ke!{g^TJb&aH_CbRoA(BYQiQb>nYqi6(;a2f
z<9DLbH~5;;$(U}HS<va_W66o^X#HOYTH7;)c89a{^~rQfUObCprq3ncz4NG-=2Nup
z0-CsOK5d9~r8|kUNy2XiJ($drT)h)r39zTKxt3J2+L%VPYLSVqA_b1)d2zRTak_6K
zuD5y3@6>bg@9ewiu9=8;LZUG<JqY`Ck7K)mH`>hEjQ@GMW01=-9D8*UPJxA}_;n!)
zc<pX^kQ+9et-%4U&DcME2Yx>HAD-<yj$-!$QK9J!wnRl?1;t^4cM{IJnu5<(rDH(C
zGYr^Ufbli2amA-<3_aG0ZMi@3VB#<;M@rG3D+)AoK%KN=N765EGg^LREa~2wK%$M#
zWTP^JGIZw=Q?ry>ELYR~+KptMvz_E)cankK9#UJpkCdP9Bh4jysl9p^nSciwAKO5J
zD{fTsVlHiR5Rj3R4dstFq@U+_-EZO_EKaRPJKblvChjs8-aCmW_AEp7S61kMR0c(a
zRl*3fWTENU0HNfXB|`jSEu0yvEfh22wQ_qDge#t?3m2_15mqTr6u!!yE6fPkBHUf?
zCmhiqE-b6NA}l?0U)YsJLcCfj+~?RTTogJWyk9MaqqeK?HT6i896uWW#!kS5e89Hy
z1?X0_78`%;!k;7kP|+h8UwTC&Gcf_>t5R^(x(vM2_#7|os=&>fP3YPF6U`2b(OyG&
zy6&k-VeZDX{l{3kW56?PYi7`Fl_lhpxSj^r?xJ_<zT}(}K*#mY(D@$`R5W;=CilgW
z_W5|45_Fj&{o~1IMjYL}98LX)&X8HFA9*`%r=Np!$W70RBtMRz4@z%P_frJ+C0e2r
z_z7*F)(IX?EN2e6nX{|UE@geU9Ay8toMv~{hO@;1=UC;(G3<ErSa!~?7<RS%dG_Xp
zXm&?dB>QS%1UqSAI2->VjO`H#XT3j$vom)_vYPqPtax(_n^1a@4LNm%9Z<T#O6^Ex
zJLA(?%Ntp&_vz<sl1nKY*YckIwzZiJF8RT-TK`z>Ymy*ir2v*j8lZiYpXoYTK+GH)
zFiCWTE^`hViP!%xSq59v*TUX=+aO!j8?MJ61aDrq{PV;KK3C2kKIi&_mz_V{c0U2!
z0$vBCxesn>ZG*E%S3q|RulcE*!0TC!ptw^GYIQo<uUiY)r!@(zZN>rizRD!lP<NOK
zs7+*k3oIB#|51Yd!WFqn=LT~v{#pwQOXdq56xR!1<!uqhgl!a#d$>Z#sm>8zoZu*2
zw8TuPx>1SOUH0Zq5P6k5`%7Z(<~MtDF?dw2$4<;~yxyAqOdvP)g=X&5o37e|<*Ew=
z7Ck2fr_wG7HV!`$q&bucZeDH^ycdcv7V3&jPPZPTc-)e4X?9|6yUbzwD%_dUhr5{A
zGbfmS-UDhJbAd6taf4aV^pNr0^_<zh^DQGS)y6b!{KHK7D8rVjX|TP%Can5+J3hw`
z*q;hZSchX<*{X^o>|lH_8?!ft%@4TFUi<NoeNvv!hP%9HCwq6WQ!_+hL7F@qyrlzz
z^ig0^=>QL8XM*OU6(APv3H5h)E!E>7sK|+ebx-5rllx7upK}jPl%7DVQ4YLs=GT1b
z1dU&F!CdSqn8c@n`Hgsp*%k!CaT}m5lFy;r*};}iJjRZlHIK0#DT<-5La{*f72dh=
z8`XH;*_rLy<h{y}zDbypwwoC>tC>-71<$S)H>T=-1Nz%KlGpm^(t;^E#N=y{XAIBc
zN!K7RO%3{;txg(=>U907I*Ie#l6hVl6!J@hpXF%M0zPB+;D8qW<j>-)RXW7)iKykI
zF4_OorDvc=`8)Jz!frjfF@tA|f7hi~n{_Guwhn0v|BpSaMOWN3$+SV8Y8W+=KcYhS
zW0Yvs1qISRB}a?4j-cy|H05balIw3VO8+cE<6iv3Ex!jakk2OW(CEQJ^)8;T@f|m6
zbl_6sFE}oo-_ver#T^$~&~;)9PM*|)-SI6Lytx%a&$OYe(ignZ!TTHZzhf<5e|3BR
zM4jMYIOX$iZ1nw$aTX%9Z<H7%O_iX4EmAb;k_-h`%hDeM1<Kx}M9F-OIrpO)H4SOd
z7Da7}7S*MpH+p>LnLhb+8Bmg)5qUcpllg!#1@AYZk=IR#2{0jdRTCO9&zS5d7?H(G
z1G=lIPx2%5s6U6FtxeD*@&DB5ZICjJ^HHFhC9*VR#J}%v;xsZ(gf!g#VCI%zI3n){
zemU|L6_Q%8(YX;rR@CwQvX9t3`aSM$d5hQVDsiqt1-2e|gFn39pvspwxcX}adU(CX
z6WgjV{o@C0&aS}*xq4hhP1y3j6~E2yz-ua9*gN_cZVetpQB4uLC?QTO<fZ5qpVxe7
zDPRAFC{Yq$SN9EQ&=YeVLcvIy<!neD>L!$(Yet)FMiHzYLrIgZs8=|aw3>L$Ppmbu
zAFO##ur<AC7)K`($I_V^OKOT9O|E6;v>}S;ntU~&sAgR%3)Lj&eifQJQGtG~l%b46
z;#5BC9}d>_VCS2!sLVCtg_+ejt-k`NY$(Brk%jm;jL>&Y4vGzBqQtHzsG9N^wNoBp
z-PT8Vp!yNs`12So@}6Lac^1w#%t7T_h_M;@n8W+RYL}MbgAbL+@t(xTwhd_hrxo{(
z=Iil?zwqk0e<<55Mt+9URO};1qkix`(0}UGDWya1ar%^OVnTmnENBGJ`__}SA>*(1
z^zonrDJD75x5dtM&__U;k}OSaWXWcjrB{o1E!=AX?b+*00h665Z0tl@w#1eW@VYsp
z(`Ll8h$%Tvlk&`!Xz^KT`q?&&BYt<`f{-Sxt$K@n@-NVGaW=~2J;0s2l5y7hM0{`|
z4xLob;rzUCOuQJ19w8wZc{~_zYzxK&+YmhX@(f-w2}3LENHlIZhwH54FiAN9H~U>f
z;h_|?>$`_L`Z7@cP%a+#Da0NB$}m&p1F8n_`D>>-@VHbTuJq&YHAgA3A0<yGXQ@)u
zd2MQwG^CO+bCNP0OQGrZG}F?F+V(M2^4|<nSDQ<fRtqWQ@=|J?wt~_IR?*yxt7)0|
z8ak`Fnq+wH%&O1J=z7RP;xcAa;}M|Tf0O8!C(kVXXG|r(HAr}E1U(NM#Fa~$@Su7z
zz7ss=GyRfqxpFvGIUK{G^o=;>>|7k1;D{|Z$KcHs23X*(i2=)0F#Ve%s+THaZi+Jc
z3e+)Rp$_kbGQ?-Lqwvua8=ODZ2`?U-hDJB$qelEHjNiNsbtL}70y=?54+i6r+mR@}
z=_1<RzJ}q!cTiUDDMmOx$5Or5Se{dZw=BM3?dpEqV=qp&Msk#LK#hX!M^f}Wb3O-&
z_mTeRNZso>dbib;nzk;d5l-u=EX{+y2JI#HGd`s7*pHTZ`qQc@f%M~FAngbV<hddK
zH1?z)VZ=e2W9dcpf88ly)f}3Y$zM-*j48HGj&gfCP<|QV0a-qmTy8sRx0&PJPalM7
z5xa$XXA^VBx;hE8H!3kNqL(uY&Hl`ajnT}3vzHj_zn7U3KC`~^PYh%8D4YqAJk6{#
zKEhnOzKyY2w3JbM01Rht%ZPOvGNSe>%u)#nrn#a^5SdXcP>(AXoL`<JFerQ=D9TP2
zXe(b8l*e8cjJCNXNPm1$(5VzJxHjsFK=s=-f!yNTg03a$g7ofZf+E`@!KjgM1+Mu`
z0+#6!tb8lRsHi9~r#-ZptG#AST!}qnt;8{3>lQOR*KT3*vko&Y%0W!&rgMyRPZD$O
z(|yKt4l!lC=TCuaV_uK>$M{^AWj}q>VvWNrSf5k}_LSEw_VjOeHpXuc+kP>CoqQ{j
z-6xjF<`>^%9n6Szvwq8FD12eHT8G)uJLO@%q%K&!91T129N~8FY`D8>HS{*^hNOun
zA-OIT7-1}IPq+#-WA4DK{tPJe7s5~LLKvF%3NDHiL;Z~+;39-juq+)WwO#?+n?VrW
z$7jo&Foc?*e73P$mwmeNxX?@b82+7FicJcV^mwBly?ts)m$yzJn>;5v^>+$gQ+6ia
zy+Zw$9LZ10fs&_<Cy`^ew5e<yZQ*C*n`=hXkxLeI^{5$H_?pn22qS8LWI$5<%;v9#
z9zB??Ln=qKNG(}|9==wihHe$|R8ppvF^UvEO`dGm$<puRGPF5GiuCIxsK!j3<{c9y
zkx#=I*ZUVkT?TQ@$9}AN@C()7_TVDkZ>_;=OHEX}(2wu8f_R<PciSIW9Q*?x+IQjO
zG2OUh$4`{{-Gi<#f8nj#el)Wl#Qm9nvGedS&YUPp{dr<!zDa_zRi$W8nKb1`ji6z^
zSDR>|K-0b}(%Up;+Ol4iT*cLiA~fiWxE6hO)28~<Iy5R=mjoVq^h;$V1@OGU8#t2g
z^53ccBk6$5NP0P6j~2V>Ql_a6C1+?+ftn`WX4I*I;j=q*`CQT}1xh#~M=mNODDsLF
z`C3a*Ljm6}RuAE2w?PzB?!!o>pP0VB6Bo#LU@5O9Qx0#z5btJO$oI33{tfsmqaK}C
z*JJaZdKBxcN0rtF92PX8>%V5y(r-npi|r`w-GPm9op?j_Cw9I4h0-+xSYj}QA6!Lg
z(N%sn#h;TUfimR4&nLWM70A|{|4i<x(s64IioC2vuD^6B+?wyzcvsf9QASku!I)&`
znezD%X0&gkIl1<klihd=is1RP3bE$&_^BC<K5R<4AC2i^ogt+M>r>HZU7FLcMdORr
zDc?(lxE2MvHeHq+Vx?&2S1~$weh4)~`my{)7f#yx6)pCE#x&7-9M-MI6EEN4XSE94
zFjR)WLrO3w^A(N`eu*3UUSRmY7pQgdB~}-{;(2~0XuxxwmL7bAYwx_pD{dd~ly@zj
z{@H*EA6jseUI$*z=)(W5^`T|WUmTYzN;{+^>A8;#X^6{HQk)XcgH)r+DxUMYOP418
z(kG3L#x(7=8EwxSMF9zxq-8&jmV5I&KUX{Ym}yVBY2#_N?ga81;OCj#cvAmqM*|YJ
zq<C~3S+C<~6Avw@<dg{=Z__80c5TwRtVSIp73t$K8QNYgMyh8AG5^62Ts5Z!j~uSS
z<*O@jmh3BhdoB-aq_a_h=YRy}JiwzOcTv_l73&2lI6Nj9*S6fkU0ZowD&KRT2~Wi+
z)4Q0y>;abOKgR3(GqH9_E;c@Xj^*cH;({NqaeZzT+6>oW)tweJD*TSqruE?k!(p_r
zl%P}JWT@ti0?!cUKl2VP3RBXj?1?7S%CliL`1!;hdpqLZO(ZF+$#m5~K=<Q-dIF|X
z_X`(FpFfL|MP~Dvd9!F<;!FzMH-j8mj@qRK<iTeK+ds6Y=|U?yugS9?Kk3n+K#dM;
zk)_%EeXZ!(jXO6t;Q8_8IH*R*PJD=YnK!W~;}Uu}M4`u|5X`ynj|<I@VnXD9*nQ9&
z$K2Y9!{2w{@W@>#BC`igPydIz4j#eKH7BqzJ`j_3hhSD&IDUL|9-kV-W1j3aEIo7^
z-+83tgZeCdS^FG|HkBfG@I7wPX~HvezvEkl0bG8M*VXEepg$!_RF$bo;kEh{WMxhq
z&-3rqo<L^jrqJA8jw1Ev(6t{6DR+h&4fd_3j;almlCg#6Z{1E^86Gt9s0TfW-bNzz
zo9NquwUpJmoa}hU^8I>_>f-sF<?&-E{<kg_%#<f{(Lb0wREK+Q^HAM98K=2Mpj+F2
zct30*%B9$1*ho#BaZ>~z7uO4CyeSm!*!ozwBkHzr*47)sR*4%z_2gus&b50&e#S5C
z++85NyRA}qX}C$aQKVNWYa)(4ALUWWR139+j4{Z29Cr9S;p7=ExGsMQzEInU^0W5f
z>t}xGvL+Y}&qrarcRYIiyNSND)3I!0F50*iW83(TxInTUXI1rMftv(vnX5qW3pGjb
z!ic8Nu_Ehf4)pvQ@P5O2q~pAjR#<N#k3nzB-{4ETLj7sirXaHO52fc1!|6k2Bt2Of
zMYG%^$sjz81aE_>Pv4(@cJHS}`s+z&?koy%wx*Pis+2#a6MMy;qE=A=<}_GgPsamc
zvV3@M@BuTX@aKJ|diEfbwON~uy=KMMEp%j`y<pg<GkAv7$7w9_`;gKsh7DTp%tll>
zvI~z)Wb<O|*@CsU?AJkSHtV!C`=5>tyC&C`jrJSQCT^R=rXF@?_hoaey2Bjy()Y!z
zZ^vr3)oDBX_w#=C_|X%rrAshd{4SEsaJa-e?!Uo$U%bznWn{BQ-@at;ihW>D^4gs|
z>}Q=HO7NUuMVM`;4WsHz;JY!Od)wy(iE~_FtjrQfQCtsI_B$cS*#{2q<r%`B!7#Ei
z3{1VFL4P;~$T1Fb-o`;i*acWK?mW~6g~PSz(=dcSkT7o}%no$n`6r{HP;>;`XDiuh
zFJjo!_ETBk+WU-O-Z|$*so}!hd@*#tXp2uv7UNEJFT6MT2sZhgMBgs~_~v{d8mI)~
z{0e`*Hav;pVSac~?--tcegvN^^TCOtKKQN82aAo5;;VIj7}k0cPmMW+#$!X!yE_a+
zea~S{`9*a8nS{nIDHw4#9aWcRV^~cgD$lLJqsgCe%s>Y&fkDh832LgBr^SagNGZgC
z4CF>rLAM<xTk~~9nhRZ6xQK4`xl{e#t#mrvn}qT{<h<|%#rz4N((2RnIVYG0SccG;
zieL)6cbe?G{rTPcQMxO>o4i`rP>=B(ikv=y3jd8HZxu-riKxbrydET>;{=M?JD^!|
zvv9lb8lmH<nw*vKBFw&zhneQlx0&fvUNMi>*E2?$9n3TPZf5%NZswVCCu6MF&Mb^;
zV0J9|z_ho#W_(^0F_)Giv!OVXxxDHTBQU<tNR7Y4Bwb2ntT&`G^G~HQ<#P8Jsh{c0
z8>gqtftFlm#y}yX>s!tg9jsxt474$qRQi}5U&Yw`J94b)1`SqH!-%!6wPLZ@kzMk~
zg&h&NoJ|Vc#s-e`VOuAjX7ya7*r3e`>~M4{yR0jd9U1YG<wC02fM4I(cl$&DCd&a+
zr3riInL>7wE#$uzfKKT==nPx~8>@H1+Dpga%=6Q5&m;nL>@R@N?JIC$;!POZl?sWi
zcfru&K0xMO5IWt4x;0l}icBo1FAsvWg*)N#%oz~jstcCFT6V7bY4-ZRTIN0u<<426
zgQ2m$*s6I0?~3N(`khtS*3yixy7`)<=Lde&>&9OjyU-}C6VoPq!;eKgAN^t*rna`=
zG@dQB&+jubzdxh+j8;71(T-a-ci<YkAK3V^2cMV^AUkE4pSz3E>W5Mk^+1;ADJYU)
zw;JzR)TXE1BgwbXm>NFu=V-MRt<Sfmrl5)RTx~LC%oor%V~%$0pFtPL@;(dOIh444
zE-B{BrK7rYDR9qhn)1|z7Itv-Pf<V@Y#jOLk{uc6jiLSfjrrO~n^qj=Iagz(XmQ>E
zO7j_PD<@Rp*RleXznOv0KPU5S%6MEp6p4>If>6Wb1nzl#0QGO~#C_)5@V53Q?3ld)
z9|ml|_}ERno@pC)$Lv5Cr+uhlbOa~pp2Ru!r}5jHQ0(rFLbJFy6v<7*?VFQv4ZlNp
zEXc&NLwP7*OYr!GDvaiP*CeU$=x;cH=51p1;q(Z~*`-XMW3*`00G}g%hG)=&H5tn}
zkW=MUI(T9R9s2D`{TfT@P5LUDcWpftKG{NrIUaQL#148^zLS)FcT%jo7hPMljW*8T
zKtqdHQt!S6G`@NorRF)1n(t`p*{DM<wIgU#LN895T7_{gnRtDE0?(KX#JnHtuuFY1
zK9SPp^KyoTirsI8Pd7ah7N3e2_RI<uzP)r(IBnQh7^QJcxN4Wb@OyuVFj?iikXJ(s
zv&`-Zz4qn`TYJicR|6V^bCr681vA7^@|Xf{anQ!fL#7zL*aoq33brfG#%J1Y_)>Z+
zF6#XcWqkcnDK-?>t>m>{ZxZp5Vj8v^KE+My1t|5W0>zseacxyMChZZW3qi7U&|aMk
zcN>u5lrfYOHi0Tvvve@hl};$Hq%RM*kkOpI<a6#A^_m2d;fWA(v<WB8?kKtwc%El-
z$M9!=3>n;vCLP^y+RdL?Cd$W&TkS!=CoiORJ`<=<TZ_J}`-w{FPcU<oAF7fr>WZBd
zYHLjqMCr#cl8%3vPkYVS?J~gb8C=S)ZQsDoUg5zy-rB)RiS1-PH+!*fFKuTxyKZ5h
z^le~^{;g%Vr>$n~C%d!HUaw-uhPbnnj;&#XvevViv$wGA<Gt9P<9pei6OORfX(!qG
z!$IsX>2S8$J%-QjPGBeQzQvxJ`hZ>f;~BgEY!O>y^p>5R-pHQfHLLF5hgpL~GEg=_
z1=c0%LQ1$9v<zCq(|1mwr#J%)&MbsjtJUx-e;b$??*rT6qi|d%08EYr!SivU;MNcZ
z4^~IOJ<kZ({yq%G`<#I>yiTy$;ut7Q+5sP>+(5&c0dB83$UT+i*&p?6p=cU=zw!VZ
ze9M5Xn{$;(Y}q5A1NuVI$2WvdH`|2~k_!0H)c|ju9D^a>Y;fgWdvq<Z$4V(X3^TFD
zfg6@sEiwx0f=%()Nh4gVZ-53zN1|-D9xnQ(hjF_4C|qEOY?KMEYqLQ4rDHLv&K`G$
zOvX_gr{T0+^Ux-11s-3r1?A@K!y&g5*isUVx=PU~Yjqj*_}!hK#Uqq5B`mb(nNXWQ
zp=(hm=8hNP`_U1!IiH{1@@JG${}@^-=|FdQy;gVW0;*fFhAd6I$n)1B@|o#RBBjCf
z;C(n<w>(d?{o=?eG@gzOT_#_C$MU-QB5kTZPX`x-k?gDhn%K0P9#30BwLBwk@di~2
zTi%EXbOl|WOh;@>6>je}7bq>rU>x_4WP7JBV0Cr>;~Dv<*_fsXHk*xMPyD>VF35~y
z6(+^;p1)YuXKoA|5`T_WF^*>6OGmNu_eHXcd?VTaCPcAKx1!k(pU$(NK3!n%r^d6t
zW+t(Pk8iTF{b}q|g-2}9pJ%K}em)zty^N)f5A6E|pV=ufU93R(kInro3FlTQK*A&q
zaQ4*)69Wr)sA2=IGacc?ZGc6_b7A9|rLch3fZ4gNU|hNjy2l-WgM0Y=nVWvFe)37k
zDLn~6Q%{1@4nOb<@`0m=_kh*oEiihk8{h{Q_;`rluap?UaZh=OZv4R(cNVdp@>kg|
z+hgo>4~D%SD8pV%ddO^j=*oD^OA`2{9Lh;Gzngn=-3XyX?HHkD{uJTK5u7k<8Y6s~
zI#KAMKT6oEufb<yhzOa&s@%=jZ|4>?_~u%cnCG7Oo0Q|1ethzXt}9bN|I!l-PTV3G
zl8+JW41X$!_N*49eg7lak)g<ZxMIlIH`p?_Z*a^Z!)46BquZI^KYf|+D}oud-{+XV
zy-AE|+g;|@z8t1;aw$`|?h`Y8L^pHhz8E{{l>%$^RfpI6k7DyuCb9*AGuUyB%h_)Y
z9_-h&W31BC5O(I+ST>>fI@@>eA+HC2&Za$j$LjHOo$We9?AOD5KHNu5xHr)Z+M?{i
zzZ;-y_F`}i*#tV#|G{;g0H}*R3u8oMA=n}je%wulKjZJiJm(BpBglf9o6jJ)ITM=p
zK7yY9+hDTrGF06>15)BULG0*M*d-+gg&z0W_*n+5?YP+7sc~a*u;M)Gyeq;zyyt4d
zTXEWWN}krFtI&E@o%Z*sQ^tOE67c<R!$lRUY*Hc{fg;^6k*CX7<>)={pB^(`mL#lX
zNw{8?PIk!BmjXFD_(h)D<}1?bP9+Kus?eQGH7c*vpjZiQ+Q8|O3qK3d&oQ9WEk-oh
zZ9*U4n^AbE1wE1+O_Q9)(0P4JQo3zP->WPMFI&>pfiZNbZ8TYI9Yr|@%qeE1DXm#!
zL=vD+SKjE5m7XTCR;qMQS&_7AM$oQ{k`%gDlzes$V*19P*pl%TN1tfMG4E<o?0FSV
zbbEs(7fUcE`UUz-FTjs?_$s{=adVOox0(uZ@q8gR>meQwB-|bF9OYFDv3k@?j2D*R
zs>*U)wdNgatf)ql+<MdwX~7*C9XMy|Pu#9OfL=x-wDr9>Wu-~e%1d%|h-Zf$Oj9FX
zB|(+^KIQj2L)xEbN}gv%(RWiT(mZBO)@SUfZOQ~n@pGVFo(uXu$cgsbOr|)y$>bjB
zL{Cf|$$W$ZX*!Ij<@aoeIc7zV?px5;6~^>El-E6N;WJ-{6-oPm3=Oo3((>9qlyc>>
z9$Y`+8L3K?h<|~t7D7zP%)t0{_wb^A3jX+c4VP74!J$|27@2ty)%ZH(k$W8a_QYZN
z;!9Y+gJ%OyOhk`s*Kk7GE!;aR4P*8^K+fa|8ZXbmtP%M*WpXi2Y2oX8nHs#2)Qnws
zzG3~CKJ=Cmp##>Eq~R}1Q$>~O^i>TSSgS`RV~xpCWE2UC$I^+T_B2+)k-p5HN_`F-
zt$pA^ZkOlKhq`&RY1u*=(YA=L9$ZY$KloSvy#4MvkKY~5rtGX~^mWu!I_x)*Cbo_x
zp}#5Bgy@i+J-@?Bm!K)Zy|{I91NOczLD%#wER(s7Ei#vIP1#v2-h2|bM(@FSpEjVz
z(Penv!4>0Q%|N3*z~logHp&C~@U!%#u`|)yavsl)T8b;ju12fPTadZA8z;8<;I=S-
zOfe0?L*pY+4KMJs`9vJEE(Kp6Nym=S*_gSb5S{0}L5cEOe9r4uKa~E$)|;ZVHd}@k
z@iVj+by~Ew-jLdjM$?7!wv;v2iGG#?rEi-<Ps$flO3NzhJ-m^=ukxTh3wP59gZ=b8
z;2^!2ahRT&AEsAb2Z%Yom+Z5=sOic^Ql9BX)G(W>o=oQbkCrs^i8c+EOHuBxFSyFR
z2&Hb_M5}-xoLsjGyEa&%`fD+~teYp42t6Zoeg{JB@1nx%%Tsa{-PhzcFVfFF{#Pb9
zv_dO4&YR2q?8;}zoacWg`XRUJu%yuJl96ylud~p1@+zSZ91`w2az>b7eMvZJdaBU6
z^qFvSLy55J!Y84hX17p7Aco%#%A@@}EljU8!3Yx@T)5a7n|$ZsgPfK4*v=D=_8-B^
zv8QqEzev0z;IFrxDfsVl2HH2}W7WL3Skdztm0SC8nXV-5I-o>v&gjyhy9LetY)`jG
zvQ)=2F(chp^PX8R>elk1;1dDlRB(nmlA>t-`wJwc%kxY$u2RU3>ty`=I(6e!8mFH?
zVtj3vyegD5?i?dQ`#M^EXevF;)uylKTk*yE%NVoW4yE=i7q;gvXF`pYSlQRh*(bkF
zv1osZ^_Y>u`mRl9pCmkC{iU;5+x=OrX<Q~7E%lU@8<)YJ-1vx{+m_A-e|^9XoPEIR
ze0jh=lzYg28h*r{D}KVZ?Rmzw_XycViwf9*pkj7pTm^gdcs0AtshN#>{*7(d>1QwM
ziGsVVG`wD_01m&@z~Hkk@AEN%+<-B#SkDfuUphk7K^6|k&w?}C7C_eK<xpL{8s^7u
zguH{>V2hI%+(_FArxJF7U&Br)o9hMt^0$H~vmWN58`P|y2U-gNewU1gXXDJ_<Qol$
z<b|5)!{6B6<T9Qq@PK_hCzdVWdyJj<eF=MzwP9CnS7zl`b~4Z13z-FNx0tz|kxb_*
ze@5E*0Asn&n>iZ3k16_llsRd8nt4+i$xPgkzyyV*F|x|p%%g`TOwx)^OwzY5Mq;8E
z+vF+FRvT!sN$w`Bv5htRFJ&_8P(PEcYhK1ym2GCzp6+KK)}3T+2Y7Z}&Ux0%F_8^A
zoXRFeJYg$B^I6BE6|9SQBRh-t71qrX1xHU=a4}K`4KD-OICBid-<bfp5iIo7x`Nt)
zl`uGQE4=%<7yOqU2ZM8g&?a^U+ITO5c4Rbcu#15+Yhod=G6uv}o&)o|a7g$a1OhQX
z*dgZ$UKbX^<)afII+y3X_ja*9yw3Tt*b#PTusWN*b2}5d@IvlV*BipbnUbibHWuxJ
zW}({r)p$?N1FK!V@%r9<7@W2bU-j?7izd5q@f$DP6R;hxCTzi_o|`bkU?cu*-hjWW
zHlmjN78LpauL3=bDP7ggQ;s}Z>ih(gowNOZIhV(dnd)7*ajMAXb5l2M7EV>$)H}7J
zQ&*64V4A=*<3GU~nTvvmTol}{>=LBAXfmtTOkrkucrasJ_{^sCN6cVk1JmRs$2N72
zWd&1~vxCP1*xHzD?7dSj*$>hEtWks(xRg4Av)y`_Kk77G$Vmc`N+E1kZG>0r#5nmk
z>fDxL3+~^$N!(L27j8k>LatE6jhnQ61$TVbGVX`>d~TBb49;`yWbR*(4Oh3toZEhM
zBsWJ{gA1}$;?$qWa%;k+ISiEKqP-+IU3CfW`Z5Xb$p}fVL0*dU7f5p@elpzarz5z^
zGFk57T{(`2XmUZ}@|^fld2Ww_JQogfT!g+X=bbFWjqQ-){``>O&XX7y?J2^2{qhGc
zRQ7@9)o%E@@f%DxZUf8KM#z3z3r7;(!}&`UF#2IB1h&0^O_TFM_Kpyauzbz*D+7L(
zq{E(~yHMQ1&p<}sf*X<7V4iUzO!ycNeOYmE=tT_lh@XR@-I0)>6b_49L&5ZS2xQC-
zhP4g6S0(Qhi1r1-P5(fs*cS+n<$(}-?GzjtI1T4M1%v7OQ0O=l4zxQOhP5w1Ui4+?
z{&EeZO;X{?)Q9kTQZ~=YD+H6^a+rIw2F_WvfmGd37~DGqv&tm6Dp6U^Hbs$3jaTKS
zJk#L3zH4#5qjb3Go;uvkJZ<jDOf9ZWOM}Z?rplc%Q{swl$Z=-<(%cF=3GV$i5l(&a
z0KEU#4HxUbg4<9tG_9_KiGQl#!25E*&R1}6Y5@=mA!2_P^e%f0>KpHaM@%Z@bln7#
z-B;n8QUY9m69-Zc&-0#8p7U6K7Ou*MK;HUOU{-MwHe?@z7cz(7O3)s#pW+3-4Yxq7
z!#enOY$YfREP>@W=ELrQ+29^K9ZuCV@L}x~c&RlBjwp<W>S;E-x77+XPLGC>N#+o(
zX$lfQjX;Yv<o~V#oZ6=k;HM963k+b#kRh1gH-RUi7O*|f3c3RAAzpO~NZg(QR?&;$
zsrE(~2;2`ADuFQVd?ZMHz5+tA`*5X!VC{l;;Pm$kJn|fdh{Lkn>1K5<>zDx-QE9<7
z?;pn%DB5!i_D$gQuTJ0$Uf6SoC)se9S6Xt8SIoG^JqDb)r8ZY8tIDOa^4$IwDNam+
zzwVs=fY*{9Sj&BbgIz6<H?sjgkFSBwt5t9#umXHumx23%V%WC#1>DFffXpS&A<2&5
z&@v&+$jyP*UfFPH?K9Ac&4PB#ELc&W2_io;!FOR6EdHAXrG3w!j?ICt>Rfn{&+F~~
z<-yvM1(3S%1svN{4DpZ3z{I%%_IJI5$%P+b&;2@xPHcpar&=Ix@fXPW`3<a=cR}Kg
z9uObZ2l|J8gT}H!c>nkhtUUi09(Ml)<&wW}VDw+`QuqV@{sZvoTtD1!{RL+-e!}Wc
zKj6yiZ?NF}7r5!v3cTL{UUT&j`=ka$tUf@?)wi(A><x^1RLcAEU%@YhB9N$m4qHnQ
zls@J_z4SA9;Qkc0y?+dYM<0UU;s-E!#XX3Nx&t#M)4=M{ZP<M+1&+N>2JvOd&}Nhj
z)7fNL@iZBBgrz`M(QTOSkp_te??P_heYp7LA+#@g0(WhmL5-gf-n03jy!|D_bd*7H
z_FJ%jSq-}e8{mXP8_Zk(9k#CM0o$S9FvV^Nws?qg8JonpNq;4{2umsM%@--|nxiyl
zrz6e1i;&{NZb@=0wn=dNYs9#8B~dQfa0t}P2Edy61vY_QP<F2axRO@b-qHv|;&sq%
z{Q*+EDq(4E8H}}j1?dk8pnf^Q0=*pAB$5g4(vM+>-2<pReg_(RQa~>JCj4A{4faAJ
zq^!OS61OhG9McPs^7cIB<wiqhOC+%KBOv)-7<3Mtg%`8W!h_yW=;HaR7ml6<|6O4K
z4dKvJ7YTa%&cUqISV)V!1gC8i!876p%zcsyyKkk#=(SmJxFQd-dWvCL@;j(4sfR1$
zzk>XYUQlQpg69h*xWO_RZn#LEn?6#Rb4yp{h7PH7G21mbAAb#Q<2!Y(a*rDKWseH?
zwp)?gttijgHOp{Mf+V?5YGT|M%YSftLLXdo`vEHw+aXJ{3HozuAob!qNKJVSX<uJL
zj(a{_8O(*@{7ks`^bstoya(geQo--QO}O<Z2_We*C~l2|&ROT7ZdN3G-+UHa;)B7k
zGZ1q4yoi?Uqu|tk0A_6PhOYx2ppToNC4CL7eZ%wEbQi<qFjtsvH4~QbJ+fGXGpO`W
z0uP7rV4h$NG1iu_sNEbUl^DZm-WT4Xr3(@Mn&51#20MF|z*kfO3g^i}L%lS-6-vU^
zesS0yB?bmp_{<q=QMkKI6mE<agO}yJ=X*1s8=@==OC*(`<d6oW-qweJrcv;7_XIeU
z!sotzT?V;ly+G~1ld#-063W_=VCnNmAh^I^lSU07Xz2&rkusc)o;nx2&5%30YYaE<
zsvVbnb`odQHks2&n8N9Qa^h}CIdCW9Y`GybOD@jFluH>ik_+6b!7UuA#EslOg6mx(
z!AWKfLtuA56xnq{wR;CVUDOJazZ;>_;S&@ORKtMH2iRBq4!&U}%#yAEr`U36^?VKS
zN6X-BaVf+tDg^_DQh5ER1fumyVXJ2;Kx-+8o-G5n)vw|4qH^Fo-$2>b3SKi(3DdW{
zgSOTx7&`a?eAKF8_+bt7E~$gK@1H>LNCQ0VYXsq{X84@+8AcbifJ$L2<Xmin-_Q=O
zne8Au+zyLWzkqyCJG3RW^EFyKjQ4JXnde&JLU;=#Z21fZy3L^SppoZoH$ZvJC+PiN
z3x<w0;C}cc#5{fv@%(d5!}=`*?x}#ex#e(8>op|%m4e&fVu(8X3JfQ`gnNIApr)=6
z#xxXwv}6I4&d-Nz;dA)4@;UezJ_l3P=MX#oIdFl`dGBdH9Lvdvc{d8+fv^w^<X^y^
z;Fr)au^3tvOJS1AYk1`N1~&Uu!rrEL;IQHY2&$`L+xj{XX{v|LWlhkS{ux4lw8Cex
zFR<qGSFj5G21k0n!*%r^u&Cn)#O?0_`FmY(=VBK$J9dG4=ntsB&<UeAeTUm!9k6NU
zSGc{i9fmzx;S2W}Du)`O_gX#AFR6oNR1GJle}E^2@8E)KCHz-i4lDMTfucbPSl7G+
z(|bkWaJc|tlApu6w**&B5j^5@A;&QXQY5lripVoKVVwn`QJJvCCKKdjGGVh}CQLY#
z2~rwap#M7ymYHUQ?1dcYT`mN%^#tS7pTo|%g|KAwOE8*V0)ZD^LzI3cB)_bJ<B`?C
zZ2ttQOcU&oX$8;pFEC@=cc|Ll1-PsS#9DvBQH9^U4ru_M{Tqa7&;G#Mfj?lvzn&8R
z1Ghd7zzCP$aBguQXv_A($AjHqeybD2u64k-|Jvc^m=-W8YJ`2uKS9N(YPhxaJzVLj
zgq)CaIAB`}FWO(i!Y75W`O0%JyN(d{B8Sh2e+KftPvMVp25fxu5Ipb!tZ%#rMU(i9
z=Aty{jZTHCq}#CRR|+^sr@#ci6qrFN;Ol-HnwF%(%6n<BZ|_~0nsgtA1P`HOUIvtx
zWx_qoffYu1Fx*xM9~4U<FX#<OyS#_#<LkiRsTm>#U*Mwo50EYIg+~U1VA(SSmoA8M
zX6wbd&4m)&nS4o3(@lzNJ}SjYJ4<o9V<oxe7bLjES>l}SLs9N@;V_gJ{Q>Rc{jhQP
zCmdPX3DuYQbG70#e@-?){InWa5LyKaZEv95trW5vUx3T$d^kJ@L26t!?6iH#@8urB
znk)C=k-{BFyqW^9*WCo8nb+XnszhjxzYGVIFTshY7a-(93`9LT2L>w9F#BO7yiVkI
zfBf0uawr_e?+FK=%5d;Xj)0+oNVs1S4U4A6K<@N7IM@>pdP|ZZ)9WVu=F&i?CLPM{
zvOt!}gXEr9;O_Vqgx~nHueA-zdb&aL!ylNLBF4okNpsQvWI5qdMXu_PGFR51%1s+o
z<78*4bMGtEIEhqM?ry6x=W|7oThb-R?dg%>Dp8Vi*(t`=sSUx&S^W?d+67LXU*PqD
zW@xdhgXzleA&ajq3bz;Y|3?A*JdChz+B5K&m;qMvA3)QYH0b%pXMgOz2L5VSAiU}#
z$Ucn$nI}<@Q4t0!WY56#HK(EJl|Q5{_5-)}!|;2}J~$`26K;Rn3ZL88gPxf?td3X)
zz2g?b{(o~IZ+HfnIsnYS>I{A^ju2%&0ko#s!qIDE!NGM5v`(|&YZp_H=8U0!jUkNe
z)rTD#`jGT)B-py@^DGtvNPKMsF(zhUmpK|%7Fa{baR+!|!Ge^CE4*F03I@HsATi-M
zEQ>e;UK(+b?Uf9kXER~-suK7d(ExjkenI#nN$$M6GWTM;F85=TDcAbJlAE#BmWwDJ
z&xQ6(;BNPi=jQ3zaRb7!+|^~HIEA^!+;vesZhfITN3RvRQ_Ki1$U=fUraBCrMSXB=
z^$)1cYKPR4CW!T|gZ)oFz_T51At|gJdQ?i`-S?NUU#|#q&gX;L$~;ingggU27hGI&
zK+G^3%%(nr`$>FnFfWT|eP=;}e-<byKLeGo&mcuL2fRXZVg4e7fUS8j??pbm+*br;
zn_ofp`BK<0T+ToL-oiDv53t9k7EY)(KxTI{{K;;EuuUCs<!vXF40l7;yI#1>UkAgk
z191Q2AjGuu{oH}SknH~#5>)@f_tAgAiLb{R<bH$Cw_mXGNDpY{cfr_-?~ro;EA)D_
z!7b^}a3rb$IMq7%arPtJlB<Hshzf8vc@4(-#jx0izo%vuzy!NIFm)7y==yB9o0`c#
zU!Q<l)*~o6nGT*u_?h~xyC5Tb2Rv@2!V!O-Q^4PArXx~7Hai&{F&Rp9Q=qRr1wOUi
zhNGL)VDH?!P?UHd(zZPWi>n!s&e!js_T)mH=yT8-EP|qirI7Ty0^%D!Ky%M0_@~nX
zj*~igJx4dB*Y?3A^S_|DUxd36Aja)<l;G@6Npd~gq&VvuDeirP6lcIcQ~qX1a<Q>|
z?K(!BTXsm4`(-c;p1p(66xatNTf5<a`FE&Y)DHFh{nLK=6C5l12oZ|!Aa`RqTrDdG
znPo*V>USO#XXb*>r7Q?f$bcpJ>7b%`56q6Hf}~n9xV^a!J()?+!{;k!sm6mu5YPOu
zi{-P<&ckN=Xb6jpgiMDB$Q~6AMqXjOZ#WFPq{6`2I}C2j3y0k)5wJ5X3M!<}LzB@3
z2>pBs>Q^Vi(x@BI9g+%@XQzXBaV8ka<bi7UE2!N0mhVMB!JDXd2&w)FC;R@w@kQd?
zlM-pp{goUiX{E${e#_UPkJY$0`Rd#WF%2%CuT_^isd2gPD%`(8Mb2QnJm+9If_wK~
zlGE5L#<>msgLdtHI6boq-o<`_NY!R|nq3RQ7ph>@&2pI5@(QjjDS)j%gs>|k3nFel
zhWwoSFnTZ*q*vX7>YA&-9ZLWy_97@6#lUL)D3G5N2J?4>z^3d|aM{8i9xpu(%3+7V
zndjQii1LE@?tH(ycpV%)xDtF{E&+#G^WndqSunnM8vi^Hz*y1A5V4-;4RzW==$)}}
zCSf$V=bM4Ki80hY(}yiFx{&ik3misiz{BsV(50aQb!kd4Op4IDO%d)rQsi^il;FyJ
z6|lah4*B`o5aVJ1N*l~Ub*VL!Z*_vfRu>qyaDxsXPY}lW!I9##d|wm~>&5Ou)i8qg
z!*^hk*8#Lhlp9|r&wXgp;*1qcxJyNr++ds?x6{&ro961s6-hgCH!n=&er~km${MY>
z{pZZN$(;t=8dq&j>!%9$a)dl*l_JF@Rf%#m@((OJ+XF={-@sq44Te8Af~|WU=&$++
zzsui2_k#*(?S2h1L8WkXXEBVp{1Tq4zJNEyg<xG+06rqTfBbMhoVUw|oul$WlJ6VD
zOY-6K;R0yhR0yAfioltl*Hrkvf>M_fh=($$+g=Wfo>V}k#XE4n{~jb=tHG?h7B<Ax
zLz7(-_+@^EA(J*(wD}7(?dyP#v%bUXnocM+>w>?A-7x)SHzXPSkE64W$};=fFe!p4
zDA?WI-CV~Ud+Zv!ySo)d6hs6?1w;`+Bt*JIx*GujkuD`f3=rizzweJ(vz9uu@O_`>
zoW1Y+y7#WdxqB`5;=fWg=qpx}Yq+aYjoGbAT4sDEy0V<;^itY9EavuPsh5Q1acFWb
z<Lt8K?BWlc+Lex4Tq=#@lDY1jfbr-!g5#ojbS{#Ev%@((G?d&i!T4?rqK8``gN6i9
zm+HrJdDiUo^5NJ|Z&Z(XvuvO@w|jUKwbq+oS>7bt`rzX2%heA4*hdE79sZU*ZGze2
z6iTB>1bqXd88jfC$MH!FwN1mzDw7GXb5M!Pqam+|;*Vw2y#B)2xw7sw{l=7wKe(Y#
z&kBv-Sl(;o>is_$X#eGi(qFnC`a{1>jcm+rVAYpjgjoOJ>)&sz==haR4V9!hRq)T0
zQWm`_#J7DOn~&u%G%=HY!`@?hKbh7o6Yw#QVd$7hf<A|GA?O`)O%ke+er!|lVd`d2
zj(vF}`_9*lF?M0$D<{4;IihazQqE#?VChkNoD*LVaQX#-vM=lr_k!aW?OA%?fnn_&
z8Li@k(smd2PI051kq13j``~OD!0uJSw7n96rcNArjmfl<eRz>cE;cQS$-MMgYHwe;
zlkt<$$NsQDD2issmBq+es=~uTYBmqm#5SGg;&+GU;*5)$crMS^$By#c=&vFk{HG)W
z)+&hUD;mjqE&H~dT8@-e(xyoEFIk1`OV33&_XAcx)7aHtnl^`G>6;$GDS2OxZ4BgI
zkS|Z4d$Q5Vjf4zmlm<95#QFselWkE^vZ1A{tunPAks$SEpByt{OiXb*Z-Sk@F(-74
zcocC9A`RKx#gOp$o9GtZ<ijpQ&hEIyu(I2-t~Msp{w{`p%~+=KkQ3=v+}~%5Q|e37
zTDeixS)Qx4!7R8G%Zpd<dA2BzV-r4eaOe-F%e&==v8wQ%t|6>9wGzdNt%c(eT`_%p
zJMpYtdy%T!UNlW_C#+p`MbWu7qC8ql{PoZjXV<BVN%C9`ovI{y>;2(b+aE->tfs@5
zGA7^2XL7G>o>r!@xF&(2vVVAD8cOz%xAds<A*I-z+f6R?o9>9`Gdr#hcuK28Oa7Qy
z(CM@pOU{^J^WZi;k_`COOP}?3F4KA7Ih?m1M_2L$s@rxU`ftIa?Rq{9UCHkQOUTTa
z$NrtO@a>{U#E(hX*Nx>=+mUQqE%%xR$RV@z#=p25%U^b4->r5Wztx7X4y`y|sDbk&
zH8#2^b6}bRLGSDJB6oh%^B7&J=QpWT&*DP9-W$any)lvLdJ|KV_5Kcu*X#B^N-yI>
znBMjo!Fv0;z12H;#$V5LkFTDh^m@ANmNSs$9ORwtef9j_`s@8I3(~904c9yHGhT1o
z!%V$)(@ON}j{MX!*x!uk2Rh7n(i?+s<0xpph?swOv-8n4noG8`s`wQ%Cx>F|mqSqg
zPiB5o7iL-Q#fCq9#0r}cV!!4j@z7CE^z1%UJY7FiWZBEo#&C+L@Ej{<mJSsMBl`-6
z?5?8!#dcyuiI(WpPeaK06=HWUMe)y>-)yV-&a5+ESyolaq5hv4uUd}JUfH9I5;mPE
zW^`Q<ZJdjEbgzikmPPV>DdJs45e40gF<4&A<15AFJujx(tC&Ha#dup5b7XHZ74r9&
z$aD74_#&P@lJ{$20l#z#P#&63{D?d`H|!Hn6?3so&0+GRZ2GRwqQCYB)WS2kaXOui
zBi=LlODf*3DXc%A%+pm#l<FmNW^w{1|HLzAe;jrWv2t#I3>EuhSn@lXRrb;BIvP#T
zrfBvYie{Q^G^zE`oH-UF=l;bK_&%29{&AFq#Phi#f$bxc$iA1%a;;R>+N9AS(ut|f
zpw96FGj?P%q5DU=CFRoRXdV}o3gqm}Lf$48F<QBVm90vdQdx?lWf_AymD5h%B@a)R
z<F>Y(e$C5eO<2aqgi=~nmarhdn2D}Mgsd$@qb#4L>+-1Z$)&66M+VN!X5^U<OnQ|;
zpX~QIv`l05>=d3FBoUjD!0&PKOn4b9b;1~Sr9@F|9LbH{^4{AP&i1QeT#gLoqSP)-
zqh;N8D}=V^LKtWnf<a{ndk=@=Ga!r_op8F3jvz)~>L41?n7oT&=kqvPyC<-%Ox~5#
zQz>$LFK2FNk`tfBgq<JR)cA?gs|ECy-~XN&@~+%f&et`c8K_+;_b67;)3utDMm0!|
zlepDiSvT`5s(Ce74XdHsm}<^_uVnA3FANH;;NP4wY+_1CH!I>E1x(5KM1`yYHoVW`
z&)iIs{NHnZR4V7)l8Bs=z_`p<w%?F-z`{r#4GX7>yeoGv2*&(Q5N`E>Bp3ytu-Kn1
zdVaLo?#t+RK9nx^VRk<sR*v`KkD(7Wy?uGC;ztXq1IIrPAa2K71|NS%m&6d<kA&m5
zJ_-YaSaPZp2r*3I%HnivM`iK1UoKT$3outJVQOkQDF-Xr6IVlC<~R0V|G|_fsb1Y{
z;8Xr@o;f#?_Pvq*0gZH2ZRAl#1Ey2z*);7ZE6eJbJiC_Mt=0G~_=0<ja*7>`F&te$
zm2)mfduH>*EQ4Y4`yOVJgl?~RvLd2sC+{ttRiPBleaDHlfjAobv8K$M-FrNF-`-tn
zwy)Ww=!%%>jLy4Pgr9Q6=*Ua*-5fYQ*?~E_4(vzXk5LX}IKRYFaz4i$ohXiRA#lCC
zceZ$7lIu-SqCa0ozoS*NaI~kza4;!R{#@_b7n;qN`h2p-mGNwS75ek*h%Bh5tx^*=
z!xhCbH)WAOQB~BhY$i6SsEGx#(><fDCIU`26UQ&AiW2E3oqnVwT7=79<;)+Vy42%-
zt&VA7)dW;jprl$NwWEBprsQyScLo6tDO~>>&#(Q_oT?Aw%d>YBO3%Y{g%8%7JxDfr
zEqeqf`fPYfn<hIHqMwl*_yp%qmb4oAh$xQ-bUI*;_ojPfnA}Auo3JI&m?hyxeClb0
zW7cij{kqNSt48d(Zp@DsCXDTFif61DYF#au-^~(>4>pWl^+LYOPCR|(j^!nPEL(^1
zc0oL9?K8MKKcAm|pV>G>e*eQ2#28go5q4BvXsm82df(F)&oy<#Qx9EHeyy#Tf4QxQ
z_0kpJW&dH?r?u#Hua!9atc8f%-&{;;DeDMxMKNq}BR$4_=Y{-y?>m;#zkfcR)3fmP
zNy92ZYOU>}DKrYDe$-p}_wnUIqdTTuTru73NNBVjkEH(M`A60Y5f+p<o002g!u#ag
z)M?)2=oWn*CST@|`#ILv9VcwtK@635^E7b_+EMGN`Mi=tll~?3&3sNQpG{IXIN5p%
zeTIz3=fEh$hoLmzHxQHleR0(6$%QUmv0mMgj-hQa+0cfS!?d_NPLs{&)X{CGChKMu
zEL4^0Wul0ifdVE?O?u<h6>tntV9hus+#jgO^RPJuo|>4Yx8aX{CuSV#L(KUREbJ$J
zzOW?>^4iXyr5A`fYJ_H*6%k8blam^TXOC<?#nj>>b+VRzt%dQNu41xtf3a-M2;q}3
zPB{5Y5*hWA#ZR|MqHO$laX@{PIPN)E1V!`_)$UzI+l+Q%={{|-*<3?h-KZ*(q7}q`
z^Lkc0)Y8}a3$64^3DqfNwcaN#e$Qrm&kwBiOlOB(8d;?&lpRZE-s~i*S0>`~EP-kL
z60pgQXI*qW{fpvBA0mJ4sr1*TC(=bF36shs$p$3Tp;szrcBD}j{GK5rGVpcE#N&Tw
zOF*{NOFq&eI+q{QWxrsT&$PM%{_9`Fph?A?8c@QksuH4amU8oFDgViL@c67U-u5XY
zE3FjWRi!L<E}?l=F*>rA_Y5iIjD7(<hU8=D_lZ|ya;1-*L;3G4QkHz6(I$gdQXjud
z8lNpv*ixTFmmP_8D~RXcLvd0Qi)B|rG*-4z*qcZ4<3$AdAHs1M5zYbUFeWSwqohX|
z!#am?SA@x(_hB6F8jfj7IQ3F<Jry6xhBndc)Q`cXPaIa2@f74FvZE@QIbG#vxHX+O
z{+YOT&6f4}M;!A$kvF0Mr9DOLyjp_Gu`=q$R?zC*X96`V$!b@{sjMm*mRHkNznX7*
zs!3O?X6}Y6QVz>|XSVcE3o4j8ubd9oO6h*TnB&(A>Ax<Y4xK*nH7W<4{aKi`$Ykov
z_uQJ7ipRGkoE;JvDeHxpnK67A6@~Sr2&QigBgr;|l`Vovv<PDC;<sEF8ORe6fT6xW
zgZ}uj!O4$Wb3g6{`0=inKmIZP9Q6v2JAwmwv>}L<U4rS?Bb4X6!ddk#5~F|^nX8Sb
zwk`?B6=~#WWN`mbHam4b5%Q*hVR|LlI+fE<_J!>w)zsXtMY*bujJzLY@A$=^)Agjc
zYrt(v1BWW>SvItumrB3bdHe@K#&x_|UCYal)pQ(C$s|!h?ATH&TF72j_I8e!K9V>z
z3-hdW&fHFA$6V>#w~6O!bu>#0BDhl(%AWSY)NOpruvmZEuJ^^Qtv6kMdq}<9ovka~
z=qWw8i#J`^e%_htH%{yv=ERJ;S9DZ&!sM_M3r0DUve<>K39cl$xgq|z^ZSh#>S?}w
z-x$b_<-tTbg;TXThVb2qwDwM8$;2!Ib3Sq1u$ajMKXcKlhRT@lj5BXwqx2f}=PQcL
zBqfpdOIaL$t0KI*tBPA)RfV&^iWsk;B6@vO5?)q{;+wjHXm_oVoF~7?J6%V|-ZdCH
zex`rdQi|j|kX`wa^Xos5l97h{wj`RV#qm8jl8zSg`?(dwRcn7vrFb)Xpa)x@zb0~)
zGgGx3NmQ~Yu-9`84?m@Otu<ThEg5M3hz&s&Tpsj*N7?4g%rwKhpBeG-_fUC%j|(%+
zsOe+Q-HZ46`kw{i(T}i-v*Pr@r_A-UW4gN|IvZZo(%*~b5rM2f9!|PXJTa%zIcffh
z)RHp(PO0VS=HJ}bR1$Y|nu)m%>Y~SMO|hh{mbek6EtEo9i+aU2LYTA`oYfZprpunp
zTT?tAuOZ&<Qxi}2sR*5U(t{q@NbMV0!_TP3wXBRHCt0)I&q2c>oh3y{tePK-T~0WY
z9=s#*v_HyMy*MtvyL4q|YEC)es`Z@ikx$rb{aE_?56FLckA|E(#7L%J%hG@s{pJ3q
zq|3MsJ&*JE6O`5;;+f<(Oar!4b72$4`s=7kUCI6fOIf^j5sg;!7|0wn7tX{c4$9)D
zOO1URk$0xb`gkfEM$3JDAEwjSNU-JTY|OppldHd!2HkbsdAyyhWk;ADaES<;n|N2>
z!^Q6jF3p{}pX`rHeJu0;`N)KW)qMG_Afg9oh|01yqJLf|an8M`_|vAp2n!t~{@M=_
zDxpKf>Is9z%UJ^i6Z?oM(pwGf-bpAr=!*ZwX$k+Y>LRyRMJUcu5XRDjZ78oM;%*rc
ziTT_y&qne6dxl+3BFQ+G!*$YMaty)F@hxsOvK~9_jk)k(%X~MU-E%>)ixWk~FIn@=
zo)&XnFsbM{9tpO@YuK{F>KR72p3y;ShJ|-+Y3B7D%Y`p6+Tg(4Do2hgx^U^S8x!7o
zGJ3ZkGad$!Gbfz0dt&KTo6L`xOj^tL$5ySBJ%g*T>iM1NA-_3Lt03mcTCA<)q6XDT
zonnK!Xf;biINE85^;b2-=wfx@`d+e9o7IGtg{nAoLs{5NQxq?yzT<NA7k37JLpMhH
zja$p`P%Na{=_7f2GnqRhm8;_tD4r9Ig4EseVuF}F&7XUzUi^FO4IiZ5@@T6go%LU!
z6#I<s<DN)A;<5D5EXdnz&eQ{@?6AK>hL#cM9SsRSV}Ru~xyvW+8beoKW%f|%-7mdN
zZPF#yzP?0{-<Q}EaG7%oS9z0mjdgQwaCxU8Ml+3hTWQL^!xps2v8H6)3(T*(Feuua
zF?GQ>)yAP^n@R2aB6cs78hPL!-j=Ee6;lnN@2n+$Y3hp1n^Ln->m)Xv>MWLIbr!uQ
z%YQsNij_OtizjELj?tmD$lBIYcwCat!VOhnbw^P|FZ#_;_ixm${=%l&#mqdP%l^g;
z-oH!cazrfc)Fa^9JHC$g=cKL|cYC>UV4V|o0rm`;DR;`(SYsCSh|Jgb=^1K@<9B1S
z=iFkh?+sl3xyFxQ^6zVWmW{iQ6Lj?;b-BB#KDUj@n>Nz+_F4>7R&podUnbTpB<s*T
zrmmSozWYq3%lAdMP7mMu>0Eg;oo?ggNc<<@sWp=oFX!;od;$HGmZ8*h9Sa6*r)bGx
zuBKgN%W(rvZZV~Qm=))29WnUr!zGU>f~-Gq@W5wEeEx8uK}{qCX^VF$9faD4?n3c$
zUvc-=Kyfu~urOFPMC=?fSPZ#8KwL}dBNmVEA>QhC7T#`>1DPZLn<fom{6q43lNCk2
zV?A*OUs<hQfnkqA?!U{yGCLjTZON=(62}j-NDKyr5}^@9=?MAxJ@jUze2>xxy3u-x
z3+p^zQNC98EW(~22kg)(wB^~eXXLp(#iZ?1zNgp_Tx~=1BTwnG=^6Ll*%I;4PU^?@
z=qETbeT)lp`n{2}E4&DG^XK}kV7{!5WWlF+T12KXyFMHLHHBzLR-oUxmafC<A+3pm
zuS(+nBUPc2swNDK)Wzp_8lret3o+$-3vr}d3(;e;hEOVRF3QHK3F|ScqFVm>?DGmj
zIqo<2_Wj`G*BaXF{mhz@Vy5rUW2jm-=Y8K(bt4JY<FRa$J)M?YFi#W%IdIGePjwG$
zf?eg_%2&*IWY05yssAb3&}pwF5e*jfb~ESB9aCOExWm=h+iV+ZNVj)4sK2gHoc>j`
zf-h4&^%C(aa&GpZbF}?)h8m+Yl65&l<kWL4x_yCRjh9GWd{sUN*GbVbWVDqrt<}w_
z+x&><?oXx1=_q+tcamQO!pA7QKBiH4CLh0(RXo1&n@$5%gvU4y@yuUKWL?u0_jYs;
zC#QE7zkYWSBQ3g$kKMb9V@{og-{y|u^zL?IaCI9oUa}}t+O`lEe>D?_J}QZZmw!l3
z`%b{zDmrVHvQhFbUROV`QTF<e`^!3dLnJSg<#%*00JZhrY~TBaANI}+)RMlL^>fy)
zu#v2(C5J{@FldDtA0L}AS=ES<cW+WU{W{^TuX0@N5}7m3Nd5g7OUw^4#di-LV|S3P
zy@j?*H!xOd9iD?%Q<t@ZQ{9#`QEeI34olhAX&LX1FDEr~C3Ci~#Y=A^W@g)oHQLY5
zbth4`xXeT=1FBO^Bro!a?w#y#o!~}Co3|v5iDyAX4h=0TNwEEcx4N3xQ_@PD>fBDK
z|JOzA-`P{heYN6f*Z#uVzQ5S$-%otM)<+E0>nYZZ=qijYI*1d}uiE3=O610<3kMZd
zarvZz7_j;mi|5s#8!A~C|9qwo%*H@TGB#5ZX_R%k`Rg!ZvVv%s<B!)jFC4PoaJ0dN
z2miie{U>|g+CFFFlc!urwWdxwAtNgvLgoV!n%!r>c{3L3-J@oODHp=-(&ye?;-c@$
zT^Ob;Fulj5@#bjkc|hZsN2ouuVwc}jnGb%!d<`eM%zH!b3|}H@-eEQ)n&bUb=y_2x
zIDLwxo>fJMd%x&jryw>jQxzI>)P<6prZ73FC6?ciUQk*a(eghXk<eF1Y?;zV4EN9$
z4$oVOq5U;QhZX9g-)yNPXeo<t*P7U!{fnCMwd|L5UEI`Sl<RX*mVW51x)d^{4mRXP
zBx4C-S+hW5zj;%t=1wzQaI|{K$u4$`3$P*WtflnHEvR2<M%5t`9@yVzXM+KyyY%JG
zg3D+QKhHv!6Vz`xgzmyU6ztnZZO8`tELlT9+vOZ+yO`tu&ciNF?te9eTe5CZ$(NH2
z^~X_iZ8Y9xBUlzNjQK5x;{SOt?t2FF+-5MJ?1!NJWEgK>jwGOFEZ3e*X5BZzz^>BM
z->{0xhHY#cdz{Ap*SIMu<@E}d1nqSs=)9j~_v6^{H<#+<THaq*7Mj;uihh6EiN@>Q
z#V?<JV(-KuA}o5iC|*2Lw8|PG+FK42*GmS8<c|HsXNw*}>uo1-CRJDL)YcM)57kA;
zRjI+aHnCvvPn-@_bNyf$`fUqXwj_tTRv8=<DGZi<tWQQXIsGCK;UVa`1o1dGfaS~m
zIMGV#XPRCdUE;xN`HbmHzhX`FYb-{;W@VMD^i*82-SQgk-fo;kp11GZNwxK4$QN(o
zANjG-HIODb8m&eloOxrSdE*;Tm+L9m-pb&LZw|v7^Rb&+O5ye|Sg!kuuIdj4{L{cz
z={vQsRS>VfD2l>dCDH1HvKTCDoS3`HBDu4&=)OWpbeyFq)|WN$CcTlZJL~D_^qrla
zU)g6`$%7^3So|(xuT>t$r{(abID=w~RN^JOwnFk-A$=ps84-&1njr4j__JNz2NQD-
zTF-H#sk;j%lC>WAuVgJ;?3ggsmMDd%I5%4JX^hk)oF6l5-y=efKV(pn1wSrZFwoS3
zxy>Ik|I0(J&VJ0%?p9b_d_rf*Lm&EXM@9!nB0jn>e6|N(((h0D`Hq4SQEdO5$YkwI
z#N|Aeb}T2<N&1T#4NPoO5Qko>hy@jDBFRxhOwQC4Yqqx%JLhYO&4yaSXMmPCHma4V
zl6}D3I1N#7wYjLPRTW2vD2q8Lh<6to=(Vek<%_D=t5=5Q+yZL%=kV7font+cadV5M
zkJOHBX9x4*p8%P~^k!k;8@3E_p(*gCWa#WTI{PU*rdZK+*+b46nsc+@E+^L+^X$7J
z7H&7_YI2QHrk9z1<UEa<r!e?+L~_3eXp_F17irtMIdu#Fb=t_;6YCkaQL-$Bt0`=^
z8XwKoZ1}jEcF))1dGS9&O*eBwc_+tz??=!61Qw4j@umDasjG}h{CS^CnKo1?I5Ba*
z4?S8$(9bK4ZDWd9JEo2e{gi}Zle+k}p|zOtyS=D4?kcQ4^%UpB`UsoB{e;X$h{890
z#L1q$gp+MIk$Jk42*__Mj9a%B{l`icV85EEOH>k9-ZwJFpib`h`9koXV(RYXa=&LL
zn(b2Puq}?2%8{J?63niSf%MV$A$qU}yER@@*UgC@yCe%y{2aUcPjNYCjf2Hw)_t*{
z+nM|1$^LN25>v)Xrt0IwJB0T#X4z&V-ZtJw_s?x6?lq!diLvCc?noW#E;A>Yv2X7K
zGUh)fz4!?_!cKB-uV`BFhDR;^aJ&}6YsXk7?08SXy-)m5t-x1ms*#D3{g<q6V|sIO
zN<J&GW3)x@ls4k4wXRrpudTQwYqUYCZAH~n9ntn_YoXO$OEgT-6s8*L;<b~i*fvH<
z%-sHmfL%YRkb2AM=rY9Q0*-&m=9%|<?t~_iuNcF_Lt&Er4&vu~U#cTL7@Y6Qo9>eR
zzx)C()n|-!w4!YPLwpyT^LWu+tackw_~a%wHTtw$cZL3e=gF@-LAUjX@c6nLLyxUI
zwEd5Yz*Rg{T1wiX1(I)@gKi|0I!~e8e>|}@qu9P+7=8%@Q8*>F$hkc^OjovS?Z{`>
zw$u)2Lupbg3LIMy;@6zzs?E4!qRg$Wirj3~q?e@GsF#;ruh-)7FTMJMzx1MR)a$M6
z(5Ux*gaYqYDRanK?k?Wm5`{orjDB_{V9P*KmW}63zqxo%Tu)-fQ4%9=@agpf+J?O3
zZB-z}&C;0W^qFRTl|-FEE3xiUC$a5hU(q9dnDEpYCuYS?5{B_pMDf5W!g}yT@o@ea
zVc%((upiW4bZYD_mVE0VR?7T^!#qu)DDweL^8YhMqmcyZ6&#POB0;|#chzF4Gv^ak
z@R1vBv$^JxiNTw6qEy~<{#hy)uBA}(Jeh{SN!*fbR-YwFxalRa^}i(U*(Twjos7z}
zWNMeE@StBR<vMA+>?k>iG3m_Sl)<TonM7xQpg{Vv^Y-L$)cGTErMV>O=Fw$DK3B#T
z(5+`7yQ>TN$Et{)1B%HtDwY~kF=j=@%u6d~o%Hxj<o!HG`g_e<7cqQJA;UHlNFOL4
zjY)a5RsF=+z>kD%&!MwYHkRfeFz=no9M^PmC%@-#Tq=LIrm#abnG^1bd_0uEXuWuT
z_KuVL+G3eCDu%_Iqve?!#fy$n#L0WVc4Z{521oK=zepy`jbx;0B)?RmsI-Zq{f=ll
zERUh5?3v47#POtg0!6nI2_BJ*U5(T|qtY1Ro{s0MOu36Liw5T$f*o_Y_Bf9@rwiyZ
zwTK0I#d4orDfO?)q?cAM_s~>Ozu_|)$)EY8`i1^~K4awl8Rv1I`E{;>$42FB+E<3L
z)StrbiYZnvqH<9IC8zU9kmtxv^Bhv|WHIS#CLNEZb6@Jgwi{At+L*-T0|^A(jwAkU
z3^&xG`Mx_6weoNtNtW~M+)$~zg`hPh7~Ny<Q2P+X*8M@;936z$&>$NB3u076kYs+|
zv2bRv-02lUxN9hZ)51}19w}?lXtarCwqrb3<Z}`CCk1usD=H>svL`hg&FoxCvh&#!
zQ$+Y9nSY{!;cvdsyReGgF*QVOti{Rl8*9$h(Y&#aFP*;AC##NoQ|fS?{f()AztVh9
z4G-^DQF-nQqsLTW9#o1(|6)cQDPW?*Cq5+RAgVvmS2F|e!D+l*n#@D}1eQg`;@T~m
zF}EX_rW=O3UodZFM&s<>KsKKD$Hdnc(c1_AKrdF^_QcTCgO921R4$YHWIK1tySdZ-
zusheZrG}^AiQ5b>Ds#N~8t+SF`v4C3z2&J#FqX>U<UEU_>{cAzy^^qKCmC^@4`|QG
zrJ_>$k4B{|)%-%_iW*p6hxqmrl^(yD8S{rfMNOP?R}km>DvEY<6-7c9MWJf1AZBMY
zaXtSJ_R=#y?DmT)v+rb#u4RB_6|q?r9Qa)#`R76sH9oObBb(Hg8N_!=rSG^znq&^A
z#y*nns$p!o@QyX@0=b&#%TgyVrntJxn*KF*BVDlddPUMc$sw<jCjJ>av_IG~;?y%1
zuYbx#LmMVEw_#286S`^G(E70rzs#QU=I=9FetOQ$DfYDL>c|~^XUtE#@wUN}KFy_O
zZS@XE_Xr%P#&c<q^q00~qZTjy%~=&Zvj2)^jI7<SG+~#bBw}Rl?njiG7-p<43Su?H
ziSsSQPTLkjc}5Enyj?>q>!2>~?p70<cdH8b{>tKw{G3*fYh+8>56V`2#W?memn1ik
zBUz|HYqR;FCf~W_B<A_WGBq@UyOqJ@Obq0xgAX?*dZ1V7N>u18HU!$UHp`X?oo%qb
zWXbjx53vj|$IRT664?V^2)~U(4@0^*-Js=OeI{<cD)%j3X20qsg3q02z|FH9pMHiB
zZl@Vodm8HwXIU`yJf5;go^|R9-8SeG++@Jl{YI$!n$oVu0?Y0;=q_=f<ux~2digU`
zaym1jQfR*U6K`c*>T;`|vMG|w-k~n$wbT;rn{<Rus}91hU1#B?)Kz4}b`>UPy9!U4
z!;rI|#VMWk;^lK4(K16z98GE=w!T&qXYVMBl}&$9?evrD=c`d0DgB&r`H0(D1k23A
z$c_o@n;peQw-A=B2t;|958>n8*?-W5l_@V-w84%$tz~^tVToy(1^YDQuC>K?Y3*ag
zl^KSNs=bbB*j3i}U!slcS-y`sK}?IoWXX9eyWZ|3&2B4^-#4<=dp)PWuOTL26?40+
zWOLsY%=@yOB?c?#rMn7kmo-c{^&fXFw(xGkZl35LmK@AkZhXDUxPiCWbMGD+SkZEd
z1GBDq;M^hvqc=(9&B(*yNDVjkDM<dbx%kvuTWoCGUTkaLRV)bXDVD4D6|1BA2@kdY
z;^xP`;=-xk;=67SG2(k?p|G~S=y$%2_-@ov>fX)8^hRY7Bt7OH#y`lhuA**asm%Au
zvoz=fe_o`L`8l3L`ceGd8_F+>w`i*Q(dvySS@+$T?CwmW)HA*sNe_3v)QqP8PfM|)
zJn<1{4_WYj@qH{0o6#xDl=;SY$-ig9zhCc=?tF)%$#<yPCVTwDcj>Qmk2^igC7bmC
zgHex(n)HNi^|p*X{*s|@T$%pbi$QzdG9fL3rmRH%+wy^^nT3pBR!QcHpJZQG5Z;|t
z#X;EvhnH)Lmy);HGoXz)ChM>H3w4Fv2wib!wT?*4Y%RhiKh=G9OX0OkL&VHe6H!W%
zFO$7b#Hj|ZxqV}lQYCsPO30M=az*|JT7ODqv8MDNcSW(gHiR(yK-{nUFw@ALCvrBI
zu7)FB&fBqCJ}-B|EqQ5Sf%8o>{2!R05prAh$~SS9J#b3lWvsuRWB;NPEd6*8cdOlW
zzOxnK_8(d*t9g23DJ!QeB%{|{dQX{w)y--2XgLY(XvtB%8%f`vLy0*&hymmJGjo0)
ztbBWN^j3Ft;=3~5s0({OcIHY-XL{*(VQ!ml<Uj7g=70JyZ|*=W;)YYJJ%O_;1v*8G
z2vXTVzRDrK-@k%-o-v>5ESZ$+#M?V>xsjJlp7aP$DK~OGx4FnZq9YE?>nc(|_Z6YV
zL&T`uk)rs?7}2x$SP^eLTC5y7LJT`PSX_(fD~4Ni7jZK?ijg`x!f|v<aVJDgT#Zu_
z&0aL}#imZ~?yO{Z>r&#^NUeWz4j*hYB-fqFtk^_cj>O?5*&!vF{mEY)hT7y17E9J$
zKj|%#uLNR!Du5Lp{%jlPPYVTqoZ9%~a?qcR9Rf&e8A#ZYw`|Xs+0CF}x|N6GxITij
z($7zB9mk2eiP*hK;n(bR_BBZT_1#A_Z{;&^zGSFs%J{tZ3w@lbY4fa>V=_~iaPlXg
z^y+Ccm0sEI-}I2W|7>fS!BqTB(bszRo&1Hx;~$jEp6@`#SJn=$#&O&iirPu8^?flO
z=L#^B-edmLY=%e%a@N~4maR&r{7<~R7h`yNHIk~`VRYFS%tRykTqjA7Wr8opkzQn9
z_CRyb8+KoP&5mRjoK`v0rIQmWU0%_5n<LNbUea1}h09bN*=^*=;-jy~^K-&wmkUXk
zUSr$Loy(0f-?&x!jFaSjcQF{#ArZWsC>gBBNz!Lc=U0~;^mGf*)hc7n*GhD(zR7&a
zFD9h_;f$`L__th19NnlQj1H=bt8JT!+e?~>4!xU+)26a_d7&bf?NSyW3lxP;PX$r7
zu91rVzu4mYjeR|<$vjZOP?uuj%Jb+wNa`NPGkBPi!rYk&ER|Z?x})LT7#qw}c^6OV
z;7j~uPlB$valOhJr%R6HPqIg)`*Vg5e@fVXYfgTA%$my&DOvvj?PKOFj=hKDPE#Uf
zzw_g|36t8Jutd#7a;qj>7<d;W>4OZJXojMh%+1_<$h$sP+&b`-9tU4AY>3RwIJ_Yz
z&zH1>VDz`faLOQ+mEAsavay7=QcqqT(!j6|N}|)bW};%RhL{oEQuv<H7D@Zti2W8i
z;(Wc1aF_qyt=~puq-l!^nVZp6)D*+osEf&;WzOiSk{Dq4mk-fDDQ)`|?ei6kkTvQ8
z`OF#FWuWDkjLDx^st-tSSTmT1Y5oid_hMI$8#W!BnJ&G-EP3_~v3x??4UaLK_JFV{
z_xP~t4&CqE;z#}sk`_xXAXEAo-_OwOz%jf#9$>()os3c6Le+xxIE1dGY5%_zE?9uW
zX1VvlMR0!1G!lMJ#OL=|B4>``PUbMO0|!&sH~`}({RnjH!&Av<cHh*CX+3*kXW5Ic
zRlOxI(~m8W2C{tiFs|<%LmE?<t~Q$~P5(0W@Fx1dILxrxEBx^==G-VtE+2cvox=fq
zS54&0mjb@}{p9BUX5yjrR?RMV5=nh}3yqnB#Jp?6MXOh%#5w!XqQPvG=;}3GjNLt0
z9FW?Y-iRJzltw49u|`MOw`(O<Sv40CX3C<A@?R9?WaE%!Rou2O<*0o=d#C5H<G&1&
zzNX+HnX+vQV)1H<WVWnD_bv^gyj<4rk%2^3_*1e}=I<1I396G!_Xuy9NAi+8n7wH6
z(u>_4y_qCy+8y5{1HQ?R&3$C9Yx-L%UcW=>WGGjRBe1EBCf+ih8`qN2d-9&;c^~L9
zF_*Rv3m7T+5z+Uv^jWG|RZ&aozdvwVEVKP-(${(~a}RTxsMk>tjT5Eb++IOEU*E(D
zwZGh+*vLOk^=Rz)iQ(BgHcC&;tgMoiYbuCxERi|S0u0)HViVbPKahce>_yEA6S+4w
zj(L_*=yne0x2(OB_Pu4sEPv|se7Lg36Dy}TX!m+eQn)iJk6)o}C;gpLd#rc7kUEYX
zX9ho~;*71#yV$a<l`U!i*<#&F{+j%~awqBey>Q@2$5#jq7wpfu;d#VU?j-hQZK?EP
z|C3py*)f!uCh>D*2LEX0(zjVL=bJv`mR3v9#(I)ZH*x!dlGszIA{=s>iS!N4h4~hB
z@x4f0oGeureh1aXhwIJ7eVOy#E6<fj&y>a5lZs;Tl)o}RQBQ~7b@VH$;)6vw3l|pg
zL)Q1|A7uY5v*f${B<qqEL$YQB8ry?uDfLtHQ<7^R>w%f>YlgLV!egofpADW9TrV>&
zcdhun<Pl3IJz)G|Grq{IOe@tpyn1z;r8f=f@yvkKhU?^7=yUeUHQvhoGcQ+MW%81%
zT=cn$(Zg#PH0g8W=M4_tG33>IBO){JlJ(*~0ShcqdjAZ!*^c<wzF}yoKRcBp=$)5D
z(drxuCrdWqADN%(tRPNFUR!r?3vs?&OB^oO5r3LXKXgP#abiU$p>d{@FmmoFywp30
z2d-^}dRQBww@*tn$*j$@ziOgO4;A4f6r}I|3&ZnY@n2NI(k+FwlYDZg73qYJNaE2y
zF}!^o#`4}lc;@(G80JBChAS;~<sBh8{%wDsQsZDn2dSmnNzd4L|6RU5FhV=;CJSd>
zms#N}oQt`@{b{FIQE?de_`Q5D+m8E`O%zA3rRMGmyzejJb=G|TZkmJP&>0MxHC^fj
zlQBFnfzBpl$?7ti!97P3`)W8N5{B{Bau}0F3}@!^5hQmU%~P*&q}WZSa|c1pjCriu
zCbfUxO_Do0$k}U`D0pW`l*xT^l%I3EvpaLcL)n)0o;{5+w;bPy?ds+tw7#{dE9@k!
zTzU!X`T^p|>7k-nafI-=Jwl9_G+bPqKSUI?A0R!_UgGekuA<wm_TqI=YjJ<DrdTCs
zleo83632%9mJHH24%mIB+m|Aq#OD$*L2}UD(x^Nrb>iNVQ5_bE`>jy6k9kM8zJaV+
z=ZD*SZ+!20l40)7fRAqM+54Iz;mV2~E)-@u)6CkLqrT3l4tK#)$(6?Oa>hl98<*d^
z%RlEuvo5}*%WT^tt#{n-6UOU@QFPrAPv;9MgrsEf<KK_ml<)k_Q)MJqR+2R68#i=*
z@#c0T*QP0miKU9de7v%lKTt(f_^60)#d1!|8x_&IkBX?#Qx++$mBd&Z1=0G;A9hb_
zVE42iSgF?%`Kl84QRR$wlpJ-JJjzY7QP;{q$ufm;lKmb1O|p-n;ds9eCe~kO3rl_J
zJ;sZQ=Wpmd*%h;2uUPTPfxBPr@EIv{ozHCeJKGxbUY2y9_=wMP26EH@IiFVZJ|WZ0
z*%WC;cgaY`{xl=PRn8{)cpr;f77Pt}MEhG-ERue5;g9F+a(K!3=B`+@_arXWpJrp_
z_dPTgMTb-{$l?6UVy1qoqW6!Vq{<A)g2O6eY|rN6@ZuKYYf($FCrL|KsI?YF((_uf
zQf4PEXp13jv_xp%mSRkjhU^2Hi&isL#r1JYBBIA%R=)j7{@SmMZuXg*vC^}6lPkAp
zWwPLV3JJ^O`SUT7!6qS6qYI?xULSVfmET*o3;X_Y<a?$a_ijGr>{=@n=Rf4ZTG_K0
z++~G44;rS+b0O+Frw(4lV$3Dpk2r(E_+v~ve}G4-yJePlD`BM@_%wGd)eS4CQeKMY
z-bFHpKA$%y=VCc}Howly#CpRFX4VRF7R;dDU?u~@XS1NsJQCs;;a|BN6OZ-0Ub%z$
zEsii(_Tk588E`ZAE*lFi`TXBYI?R`B+5HHdbTV)`UnY6{2F8z-tV&rc;o8tn+|=zR
z))w^^y$22u&VG{FF&-?o_zx1#4h<0VzV#8AcYBDxk2;H#745{QMr|=RpoPeAYbM;P
z6~&>(1}43&<=^g~8P&E3)qApTlHO9@S6SQo#gUd1iRt1{Ts5UurX{(rW%7>AaObea
zYX(1X=3=TNhZi~Eq5gs=YR~C6{~75SHYB?}A@-v+s++Bmp8%29tQkG(2`84=@U-M9
zUcYT+hU^740h0AO>dgB<HwIZr21F}Ba#SJY+>4S-d?M@0(lId1rPuNjvbtB15h^t_
zoj;_@pMAk!6>-EyO*Di_&R|0eacGC85Fa#!nV+0p)J9VrsMHWE)~bsRd(=dWVXES<
zmy$T6E6;3)20kl)=hC8Tj>yd7p^8GO{pJ#wAZIV^Nu^sq$qg$<(?&TAzrI28Jn%z1
z%@c!-Zn()T_=#Lu&&lkjLYWQ2ds>lsUTQ3V&H4AaDH@0F&~58&MqRwg%!uoFO}fUW
zPjavB!Hc|;tje8!r`X4FQa&GH@R-A>3_ir{!h>u(atMQ(!#JHf#-jnJi0pBmKax#Y
z>aS0&u^~-zR!MKo2MkZMX6b9mbUbrord<H%o=36j;(Icc3sI=5k$L*RjFmp{K~MQP
z+-M`l>bDmz7o<k;Z#Qwfyt}BJ(?eW2-(7e+b`{SWWbJ0vUQ7+w5#z13#3T9s9hJO6
zuB(#R)#4B5)V|YhLnUY0l(4Y(CpO>Cr1{(wR3(2hz&ZlwA;BE{;ZMU4FK!QdLn~uh
zmvon!TekdcLToThw&bL`^z(L`6Y}-0%+MQCc<vUimkp%mq0e#29DK03#IDG5Oz=O&
ztG@Dc(LTaygM+Mpw4Y5Y_Ys@0mvbHV(PjRAW?Vjq+-1$S!zXEW@I33zUg1Lf8}xZ{
zo6CLfankz{d0TBcINX`h?R`kp4CA?ER)ux0WD37vG59yLUa1J1{Vl{Ao7SS8ysLj7
z>?~Tib`uYrdWga;J;laPJ;WBh?jrAX7x8;bM{(Y;tr)nvwb=DTQ(V8%TrB9TBF2R_
zG40MzF8Ec``kyk=C+2g+Ad4iaLyeHnPUg-iF3Ze_smvmdb@gF=fjb^^<awCmNR!N{
z?J;^r#tUmaD<1K2^#g8yy~h?$6SmtKp&DvPZ*2pqBj}SVt`a%yGSgfxaN+V<f(lMC
z@6!p6T$e0*`7y@Jz0J$VpJ3s?r{rGevlRWf$osr2<Vi+sbiE-X7n{)L!F^ulT9GjP
z1xJis`R|7>KC2~n{4kj}M!9sU|17z@dU~B!7FR#2i?xAT;!=UG(C^YwY@XFc{5Pwc
zxY)M4C=2Q)T5aemhPLf2>|1vb!>>sFMe_RB_G^lo5zWPvpE4(H*Mx!fPg<ABSv3Y_
z?7fu#{~4GuGW*`NB7tjCbDI1;1Z|r@u3h$#c}6);;)4q%@*Gw!wxjvWr`VZE|Les=
zMt?GwzOgCa-x>2}&n;9Z8;~(dpWVx@;5+3aR|lVwdgO723_Og@to<^dC$*Q79kO5E
zMxn<RzDZAX*s#q!u-weFpIc=9V>@4pcS*KvKVd4z&?r4ieZ&>|nHunL_Z=Q=e8BW8
z@_qi`$m=a$7;1;&7na1KMW6V%vx<A3e`vq0nK)+BQh0XJ6;mTSib*TGiH}x2#U}mU
zB2~SQsGr(fjGfa{3|-w#%y;~spVdy7*0mN<i&~1=FPjVFt}5cgsV3TX|H<-k)m)ZZ
z|4XktwA*IklaeY~=y+DokK**t5WI>5`KIkl^Wz@4w0g~+>{p!nV2`&vV;^s~p}WjC
z{%;Y;xhMCDes>Ssc6TwhHO6MoZHx{Y;_YR?q**sm?0KEECHm~ixyC8U4f+n!r%v&@
zWNmM-bN)>dGj7qN^&NJp-eY{o13oOXVpW(eV>-R!>q>W49S^`^X9O8-lc`^q!+iBJ
zTIPMj`hF7{`&Gr*ml{HMxt7qMr6YE&ZzrB#mPMdrM=>^2*1a7&it#tvi@kbnMb54^
z!dlKsGc#`?3_hrdZt8M|$9M%1Q~Zm&H@~ueM+KL!6f!q2hY1(c=_Wn6#1k=iM1|3B
zaS(RR{P^|RgDH}iC>rw$pL;KeY4?o70ai@8`j9X3jM;neF43k&j7`1Cui^6EcDTak
zQy19x{v`W$9;R~WUOWbDCv??DHu<li$MWUW_FBx)f%AB_YZfkrdaSgX!j^{<xR^7B
zJ^Mz|b;&T9p&iWXaRZsKxId%H`(oU-FCk@ps65kG=85{zZ0SIT=MLeW&q&;KCeW?F
z9_l0KapTxZdQI3)=g<>8ank4Tqr2>!{)F#OT{!I##K}b|wCGntQcMGl$!a1}*1$6k
zbrxg8dJE56gGBJ*;o^}PC9=Pb5><91ML+9dLS^zGVPD)w{8jEQc2#u{Div+ShW;(Z
zzhP>^M*8sWA2l-gNF7}|RPy9h370SCq2E#FF~+7dD=e8P$&b{uh@t#V1R)Ng3@(4i
z7&$wk!}I_&WiQ><QRctqcoR9qi~VaosZQ~be!K_WTs$ag>&cB2Pga+Bv2vN53DZf=
zDw!rVynwgpn+1~<Dl<p3qBx=(N6Y@wPd%DO^5;w{E`OwNp8|FSmB{&CpBZLcjpBoE
z)Xn@U&#DG~&-#PenI@LqRuG+ADvChK)~=J8${&6TqHjwDabxOV`c?iWV0=B(WNzr-
zhgx<mtY)V9XUYRgsY)p1ahmk<-)EEeA%n3cseEfnWW(S%`tOV4R(P1q=>&5rJ`i!)
zk3p-wab51gO6l!{M7a<=%ZZiWUJ{ySk6ESU1$fRF+5e?EJ>_b=4R%v(P*$)Zw5tsp
zEp0HmB2|@)XH?ld=XA*n!ku4I^;>GKX|hk9<VnI{KL)=DqVKbC7Rt|J{TDgoNjHm^
zNAhJ(w~RCY)G+<{Pu!;c#YSd*rzxt6@vGHD`Dn>u+|&?B%UcL7vlgP;f)?V9zJ@4U
zpf1Kr4`e}*s_1N}EGoOpexd6h`b7N1cu_5#qrPCOSIUEseEP1Gyt-lr>m!rNe-+2B
z*OBO^hhWn6EqXV6*{I`5$B@@DpYB9I0|#2kze9Ys4b3E{ay$4TyZ7IxMDHHvQ%zXC
z-H3yJhUiZ>;O$R+B1^7Pu6>2BXD=~l<poA9K1a8jGt8cMh5?7q@Z!u_x?DWZ>jjsj
zhIs|G8TyQfGvHWvIY)b;DTlUMpn2p8MHlQDZ~U4oaxTU+i*O$7PUdjQM_Q*>P+a|!
z!v~baUa1dNENLZzSLle8^X<id&pU}%Ze7H7tFEHU!LH)dlrEyrfKI}GO?&aTQAa$U
zqAh}_X^LmPn+q!y6%iu2rbSIZIk&!sRn29Mr&_?vr7}PLC5?A77xwd86q95&Fz#C*
zyTW}~66MaKdKWp5%#l&qcBmRW<+bbyG?zYP%6@a~U&+2&)0p2Th7^pyfwIyy{#0M$
zu<AK-Pn=-S_`_(;--o-`P8MF;N=w&`+@8N)demz;_G=~Wdasak1DBC_bQ!xtm+}7B
zaych&759wR5-@6`>_xVd`DY&r7f;~(_YxjyH)zVZgLmhLXgS-0i7Ryh@?Gl`3um)v
z`?!L?oqv-Zsw$#iwiMLqiruT^Od8`JB7aLCk>TD?oIc%O6o&T`Rl$9PihWNp$GfWt
z9@|m;+NdkscWa4OXEns-*Q#Qa^kvKM)RTHZ&S#K0&1jzj2J7a?=i)tQRFep~5yP^z
z;dDFkj#cmdWiHs8<OS|%Z*=8~!z;;1JMd5La~fiva=zM{n+q-3SNf2a?;glmisnq8
zVn$M#DZ@(SJkLpY8Bl40x$0f^-M&kap{Zp1&7>!NpLTMV(&&cA94dLjO8w{Pe|$+w
ztt*qImikU+iiX{YkSuv3?Hx0Dy0U=%BfpTW@`Ju+P4r!?BJLb&F4E-uyt%Ek#K<+R
z#rga;B1-y2x2>eMD`zCRoog-j-_#OAdbAX^Yc<5_rD~$4i;9>QuON;VH*k4W9i8u0
zvQ?*)5&n5-O6H*b-84dj6WHA&8n0KO{N4PPBS>$3t_PmSTp1Pa$m|I(cpfLugv(a=
zFMr6D+2%5{beD6NjaU_Zlh;G8qxDL9rv?`YtvboWn}=DydM|%vP4epQM&38BVT#pq
zeji<o#g%!qkDW!!B@n1Pl`&l>a^S#NF1H#*qRMde)((;9`5<;L9>9PW{pD=Weq?U!
z$AbR-u}v93=WBzRwRJd$t;SHdeKNy;%%GpqBF-LI$IZMw%pZ83Pcv`g_Sl@bm$vLb
z<c>~u81X(CsCh}<WQc<7w>8AVL%L$qy{^LIR9|t;f3V2a8X<BQj1muzN`2R5gb4pf
z>N76}h}Oe;i#2o=_eV>1Y({J0WYt29UE56d9f~4JuYoP{d`j%~8DFVUY)#2!?hQGs
zL}oMhtx2NQe{q=mMG?IxT+TfUp_6M6@lygRm3?Mue_z_@d$W3gmz-tjiOC!fyd&Ki
zbKji+Px&*;>``^C2dQnnD7xp(y92(=u=i)#)VEj;4`#{PFp4`zk*N_U{U4cIb4f#U
z{s(+ia(NP6K(xM`snz=nr)2K>hEp9k_x>Wt>o<SS$^L1zg1FsVQMk*jRLclO(aBoo
z`v=OrhxBIKfBY-i#YV>8ug7T54@`d55+M7?17|+tdZUy+mkVim=o9PK%h@FhWDb2!
zD#Ml}(qdmMGp!|iBYmt7a(0t`W&oQmN!DV%7oDcM6Swj;haNl2c@M9MdF_DbjTdO&
ze~#a$XMElDlvU$w_`To>tKV3&YM(X#T(&0Xr?u?GpYW~kQ=&dU<Kl2T?*Fuxb8=sy
zH^`Ov$L^R|``|kKEoO6N1~E5=+tLgC`+p^!cUaE-|Nh%MMJ0uXO}5O8>wL-HZX<*w
z*&~E9TPjpiDlKVev`M?P_uhM#mZC}ZeSUtwKOEhT!_9GB*ZX?Cp5r_p=lTk$=hfr>
z({}g}r=`k%2w%O%q56i0N!{aT2S_uiS|`lRcZss4v&Gnht75Eeo)~*eJ+``{2wU?&
zi18Q-um`J2*B-^qnwO7bOT;kkTz-S^K{vDu+pu9>Bg{jpF}Ae~X1_@<`6C-s!_x4M
z^s!$?WAW&4B+dT9ao|cYwlDgOQ89nKp5l%DY98=3cg5UcC-_*s#iCtrFs5RIkhQO{
z{Dvix3Z7&31yej%F{WDX8J7PbhDDeGvR2&3?%n$2+r5k2mv^wI>JId#=wo2_eQfz)
zh&`%L@%fE0zU+ApfwC9ayZtrF0vuo@;SOHX-u>eahPPD|_DH9q_(37et%>6)+l^T%
zqaZ^nizOe>>~oTA_^}M@43J~?@iW+Qe+3qNMv-X~ujldYnap+abT)fLmYvj)W@|Jh
z+5W|1OtC|dz5c|@0!1e9i+2cP2YT`3PaAss>Tz#dB@X;7LUCmdmQGGbs`(EXk*1?T
z`8&kvnaDB^#J!0Cbbs)H`SlOrJLd+IhworOdXB)^Z?GoB8u}Ngeuo9vHe&G7o!k2E
zDHaA8qC)N-{QC7^uXY17#;@S|wo7nU&_#`t4vJIGBO&rUQeWyoiRMn*)?CJ)z1JZX
zcN-eP2IM6+!s#>5F=|iQrZsk?NpppFjSsTDg0b;U4ASi~aNf8KujaI(P-Orv@;pqC
zv>l^sC0Y6YsZ9O)bf&JQ$Qt=(v4wkQGmnk4S^Y0%_QFn)Jw7pmJ$yKg-Jt#b^Z*Iw
zATG*uX)iY*!o!@ci0^yjH~Eh`anG<B#qVp7Kd%hVf(6jsK)RoZ6eJoXV83BBM#8^A
zko+lDnO}%E5r7sSAE;G+K>tQ}DCRojkhLRhp4j7rhb?*StRZRi3QpTz(7xD$`i<u>
zo??cmHWP?TnqaG)F;onV5s+()C>Iml?lwhd{&OfEv4p?bE1bGZ46dbbsXuat!iEpf
zarcL0e=zQ^h{C>u$@FaIK`*%yMJcV=FxF4~-2?)!@Ux!{B5WX)m|8tjta`O9yJ#%O
zYSQG{Il<{{&jEQR899wf=}u+8A4;)7B}pc3Ajaaogcu+BHOC6M*xNrNc&XoyLe)+f
zu4~3|^8H?(T!#L}d~7E^;7QV{%}$6%9&w~wG`?d0<zSrf`h;*kKb(K*iEpdjv4zJO
z8ND={8neatLTf1Lzre!U=Lps@!F8c$xc|lgYWwfNQ2jcZ^)JG@=^XfNG;z}KI5v{E
zLvqG`h*$1{cH1^+?WWdFWDD^#Ho`q)Jr2~b#jxobRFa<IV)AMPTCE{o@jB`y)iC^b
zGgJ<%;}^|BcennBPxfaJY(#fnry<78pOY4cdbN3O5GwcxK@nmx(+)lFeKlf8WACED
z&HgrtFnKO%mbiNc`>H*gJ?US-bfXuu!_)(*c`RjJ?TcxSxsYwTIhVcBRAR3y<k`=q
zGOW>Ff)%b5VIxZX%<w7~+p02*r1igWf3O|0ha2&PSP3hAOTjTJAm30n4xLWNj=jk=
zmrj6_SS&<JBk`*78x&WBBPcNhf9!*B>hl*2kZ)Hv_#?`QP1n)vj{rk|JSN@p<S>75
z&IaI@-bZxzenLpi7cANmj2pz4(7N;u2UkYH@=hG;=O<yq&UDPm%)yQKMd1EcfrOzt
zB<yZQoNX6cKKG-=kUT4u)C(QuX6m$$mzASu=!^i9R25{_4uWiog&^}37i4nFXm3Br
z$ClmXWruyZ*~l(p)&3rZo#r59o%(S7TNjR}v|(0$Bbw`Kkp8zES__LYa4nB~D#R;c
zsfa93#9`}L80$php5|BVyHE4iZ(pD;{}F$@i4%3)3&&JF5J!E%`a90ht#rh8{kN1!
zWQU7KY$5f*23J;EW7#At)NXi%sQ8yC^?nJt-!HKx{1vkMt<V=~109(+ke&P%wN%?R
z%erA=E%jAO{zxq)hQ^6+Nb!n;JL&l}4isSV!zv_mwPNF^U!;#BKN!tx<qQScvm{Y=
z^p*s>e|`!xGnZ!G`7-R(CgKs4(oXG*G>fj7!g3!-vX%bgOq%*7sYQZJIgpo)&E{e!
zR7ViBrXT*NJ7FE#466;bq=_#hjYk2Nkd8#;%Kvu23B>25J*x%nMr=c{IPo)Sc>SUH
z(hF~9y+?M1Gu{R{pwROT`30>JUGsuiu;#dKVuHxwr?@}e0CCrEV_VNv6uVr&X8p6!
zF*t#he*eK^Y#%}&?!*J7t(erg2_BW}aG_@veCIAh%+p1X`8O9Uos|)EVkX!IIV7pc
zVELKJ2>&3CF9IU?ZY6-|wY;=@=Yss75ze8-e>g%>J)BwI9h}v_n>j5Z^_)H3)g1k=
z6&!AbGEVO15>BaVF=yfIVve+G2}j?#jI+tEiZk<K1LxSa4vwqPAI{whE|?e!)44B=
zvlo=1dwB)CKdNKE?i9pc-9r%h6NHCck#{fzd)r7Oe5)RpE{?*5?!bNCvh3N=Y<8(&
zDH9>Ca+UWc#>wQc#RD9srMsDBIIm~6t5&fUl`3q*f;p_&aR$?SBEv3GO}?FcwXbgR
zu|;ZJ%=6?31TOvtyW4}n(?4O&(+0im%@Cj5h?0Hvc+go(Jd7I5nOuYI#^gVlTTM)-
zDpWUD!IFLo%U475ziRY3SHrQZ8h6!e@YlTtKZohhAE5vDeJv7NYjJ?)*318^L-E}@
z3_Y)dheaKf4eB7HQHRrW>!8p;bN`pMsGM7iJ;ZaDU0g$R8v6JCRpHPPnkRTxLhxq=
z9;;M<?{YbGyvuN@t`t?%OJQ=V1Pa7D((Ww6(B>lCr@h-X{zB|~Sb&EU`G8$M3f9uk
zo;+Aa<iW^357lOQSU`H}biX|OF3&@VVm?YA=3}BOA8&3KAX2mtS`md<d$$OIoMMc~
zmq3EM6hXgAq0?4|myP8(Rab!?;w0}btRfb0HIDh$V1^N~c6QZaK36?XeyGPOl?Lo}
zZGdNg1C}mngz}z7i0y4e<FZB!4mQvXssT+a8Zg<v9#aMCiP2pL75Y2wd)5$pn$F1Y
zRd^jz2`|qIj98UJ@m?9+PM6}>_7YgA7Smp^2orPZ^)4;ITJ?O~y_^R{k6g_BNsOgk
z#J-NthSt7pTp!57>+f0Ua?FB(eHQ)&W<j7m3!PiC5&JD0+lUJ@F_DAG1-aN6N1TJy
zeB5s>fD$p0_gySTHE}=oEG$C;Y3*esD$!tC1*^eoXrHachp0NZ@HQZIbt6jmHla+t
z8C&FAAduODkVCD|4r)bBLn~gjx8g}sE6(0&#jO!ygB)+cSDR*Jc{d@PbRHk|8X!j;
zEvxcc_}-|2$Y2#t-mZj7TRA3<mjUS|;Hc4TKb$fxh(S0jnLLDAxiFB(0V~Wx+ow#_
zyJrw<G94=`(};VN1|HhiEnk?5V~r`0rycC?>=Y<-r@~V!6)Ih+kn>K1u0=ZBoHCGE
zM9iRd*|?vagGKszn7^ZdcqK&;-CTkn8fCcitO5@Ms}M)uha~!Z%VZj%Ce@4seJwP@
zYeVwN4y?BPN!tESY%=e{q50hyGVR8m_ua52eV#n=Kz3+%Vc(-pV*mWaNwE&}yllgg
z#uivfH^Y8GBcf*0Gb2h2G5UU)htu8kv<&IHOQ?=4LjNyfdlltEB{duSvoi6rH60?;
ziGOvKbShOzICkR)a_1(JpOnr~iFoRH;-EmjHJ;tE(3X!y;H+4vT!=+;Q!L(j#KGT{
ze3#`3XgNw;QmJH|l}JTA-HnRG{MdCN2f3R`g974G>y{E%q=Gmu)%dPf50fWN;354?
zM{oy3o_8T`MlTLt?!(1%zj2E6^`@%^ahYcb6{NfQsWpVs{y}6Z4dVT;KX`WeH=OMH
z@a=vt#uU1VEBq6tRc$!I(?WYq(r^pc;mU9o#v00riCF@l=t8{tng_ACY>bs>KtLo7
zHb;_C5uFI(t?^jXO`fk<%8?+xWJL8hEL`~&9#LWNFbGBN?GXG92qw;6FzU(Q6Z<oW
zCW^su_!*3=9U%xp7z_u)Nrw{w?<bL%b0h{GmhrefGYR|Y-znaeg{DGc#J?*h)<XrF
zylS!UM-yh1w39ct8w(AHrCBjZejf6<Z5@Zk8!omll$$+z#KVsD@UV12UM82t!vZ$)
zFk5YIrmD`x-W83ZH)0gt+lO%QHSxE+NkeVhi8tEB{FvQ@&9$}Adshj5%~D)aDTE^F
zWBbUjBqf<jEVCaFdlm<`)+o%mNxZA+;c(~)CLI>(7$rX;?Yuwn0(^++?*$F357_YS
zJw|4_V`GLZX2rT-#{{vZhy$|K+!=Y5&ggM;!M#*h^31!V*3ko|yS-p+<%>?;k6254
zd9SW8+;xt`()xHLgj1~|Oj_N{5}L`^AZunT5_Eg8|HUADj*nwmF6Dv{^W%7n5IekF
zl+AAyV;jcB*`j-sSnQ!mY`e2Kb2%->;y#P8+s;D7+oHbJjh9U-C4F)8U)&iRpwHnK
zKFSk+b3-!>^=dJkQjU9S<TohJ!E9UNq25ly41+lMctxV8FB~_|2g7gZ6Xpf_!ST5l
zlAgVXgR2Xas77)jo#OTA*I1@Sc@hg=fNQEbZZ9;YYy%_c*gYn8(*t;|xeL1)x6pX=
z8dNu2CZDP<`n7dXQKOCZr1!fpat`(>+L&gc1IsfPQF!?(<Z^G}M(BM^QF?}2+UNK@
zdkJA;B79xog1xccXfzFiFfmD-X~$+{Rti2&3l?7dgWp-)?DkS&wm@Ez>Fk}#bf44y
zj{2~G1Js*+oXzt5XS3=Hv)CLlCAPF+1`DU1LZquSn=CHLBFVSkn@c)B@`_HA`3K#f
zzhSt%3!K(w_zKiQ|3w)*X?DBVH47f{snDuTz>fyvR4YZm_-!bZw*(@R>dEAJzBr=o
zN&UV%L@v5uaJdsYRNmsri8m;Swt>Y_E7XuS{>w&7n7lE^m*vl~XQmmQ@uv7WZbG_d
zQyhM1isRSKFr|%j`UAvL@qGz<AshHCw8JY|Cs@;t^B!r#Hc$Ty6UT5w50bWLVLHa7
zi_rU~7HT(tBA&c?JLE|75KWxtZc%pDRFZ8!F3mi)%d$P2<XFW@c{XLSJR4ds$FAL%
zW!wT(w@?O+3S|L_@)5&;bZyU1^Rm5S6S)0k2!peJVJBY)Eax{u%DM^(YsgcmkcTmr
zft|$A=UN^I$G-0<st-dkdCRA6`iLvkr}nP+0Ko=V90+m3+Yk0A3VuyJ*(;PTu*CY;
zX2_8;#(v$$_)~Qc3oULT^U4(ro9JLx@fnC~o<P%#Bfzu+*mIB=>S^1cWK8S|lTFAi
zSWkJBYmjnd6`FFF!`yu-7IiL0L9z;NZl)d94Hd-RSWKBEOY!&Y3N*W}#=5O)kTYla
z&vOrAh&|JCS_kE(cd<Lg1S7@PC^mP2S9<{D`y%nhBn#|9ElSB(9<RpBQZ|XRxVWiI
z?>|LW{bnAsoVA#h{#eHJG*+;?zm~J2*rm))QiV;~HIKc>RASM+^30f5hDB_mJz$bB
zJNuE3O&gp*^VK2z`_zk*zU}z1ld=z<Rl|Q{8Ft?&gf02cgy|eQcOVt3Xs4c5LOC@2
zu{ilK3jeMCj(}A(2e==Oc&;#nkS1$QZ!pA81cM_L3^`@W954%p#<mdXX@_D5eGXcQ
zUtuNq9iPLZpp`-zbJ`0{mrTLaEg5i0$ia0BI{Pfkz!h2z_ud9bEpEf(16>H^5T}>&
z7eeQaVov86uGw%ggK}<Woyo)aw0T)Eohc?ydD%}9URJh^hk2~!W;+Td;F9zY2Q^0U
z*JA*Rfqlre?uOpM4tyP_d)JF*Ks%~&vabw6enr@No$87mS$MJ`4Gue!@KrA!lF`wK
zockRiVc{6l4FRR`KyLddyu3%ep%Ncl*Y(1<$_ETAe2=|4Zn$3O0yPh3^7p*M82PD>
z#5zGa--#HA@9=V&Gif+nP<hb}=Q7_zEXEUS)QLTFnOJyBgRq0XH^Lt%vtoN9bRVU|
zb|vW#50&Ep&BD!z6Bbg`2X1=(egdSuq0i2!S&*5#i?G@hF=n-I660Pb!A@L}U{eJo
z7$!|(%64Kb+E0Y-))Hd1`TT6F7%$sIJ=waQqgb>04|++@b8c!oLT5FiZBI2`J5Y^F
zKE{-HSy*%=6}MCqA-5q0_jDqV5*mt~a{_VTdjPiH@PYp}nzwIu!^7k6;B5OAue)sF
zbjcdi1YW{F#T@efrg$7^ghSzvVSC~M^)h!zdqLjn-B+M=LKkm~wQ)Z6EH-X9joeMA
zAlh&OH`koNp8rl@(!rB3->HeInrD&r<vh0NT*kG4Tc{2&K>jXc^0rwZ|0?;BIqxV-
z!wWY;$d|q+8a$ISU|LWHCt}OF>>fgmJ1?8AA<Cw`n8HlErm>A171((;i=|i2VQhFV
z<Mo}(4Eg6U)m_T0?aNFidq<8%7fZ8m0+QrS7iCxOQRZ4J%>u|zm($ZvOv+Ad<Y|Vx
zS`Be0OA*kJk6&t8IM|Xx{Okl6i^L$|VFb<0!q7wdyCq7WaQ3Pncz=@bhW3_z#%_4$
z?u?2)N2ES^iz7Sji0fesc-SC$tu=NkSOF(rVW|Hltbe_Pkmf6F-eQG3Z)@;6y@nlW
zY|b2Wz`u3QSXkx`!42M6e(59L>d^OYNhH2SCZcmB6EBL3F>_uWp?x~A<?0_KG>_xn
zZ9ZZu2(tj%Rqu3^WLD}@Y~4&5#w9nEiEWt5j=Yj#JaeR(;`Ax3-&%s*awDe2d10nK
z!q1BJd6*8>FYA&AF_zzpV*(u*yxNEg{%Ra4A?|qvarmZW!k=dTveM+|ERTdQd8=h=
ziM3BUhEW4w{QCO=*6waF)p`eS&RbM(vW4n#E1H2?BCgU5N46T%Ugj~nV(wwT;w?N1
zx{NK?&g15h)9BGXj*p&);3lva*|yuUYb&r^ej~of(ELkvB{c3Y!QAQv$kLvJbP*+l
z7fq+-jVw56Qt<1OfWt;HX!#3~zMG$PF2r`cImW@+Ax^w&ALrPTF3wBYHje4}M$YN!
zwH)g`m7MduWt=xhi#hEYg&g^X1)PYse9n&80*-TK5oe=e8D~}__4^l^IS+MvIQklY
zIsWzhxHMA|S0ZPCTV^rk&1}Zrz#}-Hcmr{c&mpPkgcE$9p|$!4s_s<c8EKa-o(eL_
z9BDRuTbb=iS<D>d*03FQ8=1~`4l8*HHuL2cmbXBS?ciC>?k6o_onrG?%Q*$+rX<T`
zOeEPR9}zamik}@>$<2C%|Dv_=53#FyDa)@Dnu_g6Kiq;7Q<|W)lX!}a)N2>il6IvQ
zI)*ifQ>=kbZ#705sxkDd8fH_8U%RgcQLk&TnQFX#m0GNSREr#9JH|||gYKa^JfYrQ
zB&ZJB8Fi$AtHZV2I$VgTLnzJZ*Bq(CbfG%rkPmrqBlWQH^!Kl-!M}Ia<gKYfgL)MX
zlTYwtHuVz3lb^Mv9F2F&5cjc^m<%P5R49Sm*<zffGuURBd@bbnmW?TZ{)z&mea*+o
z-TBb^l}D_bJdEGX!}+6m$lINVEc*HNULIn<<e_mi58b3$(JReI(s|mk@D<|k_d*<d
zQiMzY6=N^e26b~t(><dM*Qb|5R-pp5%9Ti%T?Id-Y8cAUtYe}EzLlhP^r=I~sd`xa
zt4EP(1A3^3Ke3H`7lw@(dD944t43&CZp1?B+m2*5VDuop$FcQ@np_XV19j+qP>YN7
zUha3Q#v;2aSesO0>a_}J9U%SQ@-lcxmLlYLF}_w6VQLofOGp>8E+Ze;s`F4ck&8F0
zb8-D?4mQ`3f9n`&2->oc@`iF@PG-S;a~Al?6MamZ`gpG_oa4>LEt72Y5p(xILk`?y
zb7B824`!M9I6Xu&)(u6Zw=Kr?;S%y2mO-Yy9GaIZq1Il7ZtWV_6j5!qx*iH94X~xX
zvuZ&T_%oXEz?GQTJ6n;S*$O@7Ht6nYqnw8}$W0?oV{|LzR=1M3vISj1l<D-X2?lPB
z*m|)6KV<9SMfzVaIwPNbtHQ5&m3a5M9HK*|h&f#XzVsr}HWy-1cs_aZ=rb$I!NDil
z7}=DCM>3f>MjrA`8R8jlO~ctYsl*UV#i&aPUeNx#87VOSF9p7@Q*dxJ1uJb+;e9j>
zjyuxvoP6_FLNf7jUN$CCAOG!n9we_8px{~&hM$)pKdcO6T@`qxQVj{pc#3hZhkbM-
zY<@H&-;a3C#EuK>?ZDh^o%nsG3pMMAhm_Zic4guQFYUqd!EV?YcH>lB7pA6kVv^lY
zC@krKwNo3~D_c-8(gdl$4OrD&hoC5$`I=P0SiJ)7qy>2wUyNYmLNxBr$Kd>2Jfpei
z&q<juoShDh!>Mp^PsS?IB+PP2#BSP6S}l)9vRWMRSz@ujAqL7uF{n8n1O7`f_!Sm|
zs7<k0E*OXS$?-UPCINfMi>w}(gh~1I{wSqG=W`}@+|0q<^ZBSYDuU#XQtXni#G|K_
z?bK3_<6D|>;%OT(xqc#$UK5-Ci*zUbaMt~U+2aGyUqbr0Uqk3pA0|%7Fhcx>pc^}g
z<97zIz2G-G>iY1~zZVgz-Q-jK3H?}NgJ(BmAh7|7zO^`KRD~IoCFZ)k1Y;6~s2-*L
zJ<XvWk*3#sK`J&}N`hWW0xoQg!@QPg((gp#j7J1!C49wc$#6WhCoL<@KJ&H*!{bp9
z%m%0@{Thf>iGk3c5d`O~Abcqd#?95CST+=fck<ux@WXeQzM{QUWgITQ_yJ9t{|F3c
zLcli<%j}Dx7gm9qzFJgJkNNa|2UKl(aP1Q5=sJe*-{@a(Oect2%gqWY7eRCZFFWtR
z%LD^>*?X!jdD3}UUL7~<58+~mt;aF>&|fSf&3i>FaR;k<u`!?%Bd6Q2ny(2fd}@jB
zQ3;WO5;zAHkZ&=EIHeiT(M-YnyTmO07z-orDC{=;hJCc7u&*Tkb?Rq$RtI3Ek{^QY
zyfJr!CwixPAZLj?+KpXNFYkiF(RVnz;2pvPoM2(*L=0o9E3dpmvavI9o?MBY=1$*L
z4@8cU{x;JO*VcT74AtEOqz!J~8H>5Al40skv%t4S;H$5~OI`B+a8dq;(Evok$Dkd`
z!`9PYqjRk=+Y}+nid@Cn(b`E&@__{7x-P*usgu~CtvKs!5M_TegqhPBL1q-j$FeH9
z*{k$1XptxFyhk6VyzE54bIPW0sl&be3M^hw3_hR#&tUAABu?!F?P8>&aBeR#5&TI9
zHUBd@)BVs&vwrzo@1d&i0)7`q7&X`-Y3FO2OTI#_p(P5pKS$1L6ZGw*Y%AV}FiO%#
zaOo|`vuhX^y@Y%<9oms-L8bpR&f1*9;e-<ieyf4BSsEyQtU+GE6PPZjNwb8rh?uVf
zf8u3@OVGa6<sqDHOkl0^0$%6dU?;I}a-@85wKN0;C2_bllui7oYG@R6(v0OV7WVM7
zgZAPq#!Z?n`XSHk6BOBhy0h7Ww{uzj_Id2H)m$cMJDZi5D={(BOI@WLnP>J=>}%8{
zW=b4Oz2*E2UuYhbMU33&UpS)D0VQejjozU7;<6IFKahv2<P6xECqvve9??~#mplIr
zJ+p~jH9Zj6`4LM4e8IQb3sVI>u#evjvo;X3)z1;94id+8E!C9gY;l>q;3-ztnC)tX
zoxD^-X1;>T-&gQ<v%=mOYjm7@jf{7+Pr3OPPCZVTP<F#@DNlIQv$J_`AcCE~qK2N;
z@Ap#C+C~|9^>laB4m2&c2d%3{;PZ)_#oZKO-x5XG(x;P{#f!=8c#afXvw@i5IWjE9
zT86!QCC&cSOkurlk}RY{oK30~Vc~BDSvTd6j1z}q#_myM9r=ysr(KkX)k3+9b$C0q
zf|x5s;F+HTPs21MjU|FFFa`pa5qSP8ly+-hP|6p8N%y?*nivw?(Jol@$`SpBcF=rI
ze1$JBi4$xNuRW%ioA?Z&?uJ<1c?T}K*AXXi5#}vg_|<w6yi!L|b?E^7+IGR;S{-Xn
zZ$aYW4Jan9&-9Sx(2-k=0KfT=(wq%}wThU(embt6m&LpYDNJ7@3A;uy=*J7=QoaEG
z$nhcU12<(Dk8`Xi|K(g57~*XEFu)OC^@kIl`<tWt{tqXqe2}yK`zYt~RxZrj#|O7h
z!ccxEiT4_Es8~G*+-57F_W=;<JOaPOtB~Jf0`+iWMjY{m*Uayj+mQp`3oR%X9mmgC
zqO3YomYrBKn_ZP#!X(F4nd9XROmOBVCOK^rJM(S>dp~6jbC+7q%vLUB#zV^NN1i-$
z5|U=~3&dI779pm7f|uDZ9!E<d@h(h%VTE!hwpg^Hitcd-+GE7stA-3|CeKQhqvuj7
z-A^UZ=r2NxY!M9Z6~aQe5c6^hP!n4~TABjNjVMIl(?akH7U9|FBHXxMj8NKDh>-48
zcy$@3ZY{^HQx#ZgScy|E#M6kXrXH{c#?6$s*jk5eW%Y;;rF>8QMq=tW;htX;E)kC>
z=R`9spEiTbxEXTinz3ePGgd@2;o$NnY<fXC9H|Y+Zm$QYzYb!wZxTzZ!5XT&tVsVe
zL$(q>Gs`hzScc7uO5s*jj5gaMR2(RT{ImkB@6JOI?LDf~av)rojSKx$Q>oBC;c+Hf
zx+r_YAOn-<W#9m56@N6Q!+0Pa*B57CjztD0gy?Pw%0!z%7QH{&_-mL$JAz!C<<7@6
zy#l-$EyOD4V$|;`1-EE9UKLhA+N}yTIyLx1JF(rx^(eX7NPDFwtUuI(&97Q9*{uzq
zNE7s9c?YV#bl})P2lNDfVp~H8;-1r-Yq%YJ>)SD#YB7zKtuW|shL24X?SLC$a=RYW
z5^HgKyc%DYR*^om0^1Cz_HZeISYi=2cNf5Sc0S%-%*FbcY<SMeLZVj&Zf&GY(7sgM
zPDvrgGcg&9lQ3N-38$a@K;e`ha4SwkbV?#d+NihO_yaYhA4)T!UHbiG9Q2@U&hb>z
zWTqqXXePGp&c=qTx!6aw-F79ayC{!$&kkZG{ia=xcMa?h*2AZV>cqP(I8@e#A@QG7
z2X!H&pc@^e;d=P&7c$S$jHb5_N(=ijDBcfIx>FuC{(^HwFT!6?hUDKa_^s-M@cIr+
zBAsAVdNVq-$SX`ePT}DieED99O>*UMF(`piZ6W^Kn~!<)`DP!^LPI~zl0T-R<8d-h
z-24G%oPfB<I5bX+MTTcI-kglW#jTMr(E1LZuMya+P8`q45%{1O0j}E-I4AlY=X$<l
z^UNqjzKbT-Ml9AojYlWFH|lQ5nB$s;&bmzO*QVT$>4ga7Dn)}pC6+4H;>e~(#O-TE
z%a)%g<nBS35xuU!Kd^o<gcF4$Xb%31wPIuVP&bB*h2ykSrG3HTG3@B4J7@bSJXZ}P
zJaqtt<ge6~_yzqM(ij+Zz?8og5AQT0n(FwpB~@5$QHHekBA6ec9KyV8M4rjOJF20-
zCjWq_XFTq`rx^uhH-+#=VCLO$^ofUJb7>H^=6`|y#3z_v{D@m(0mNkXgNTA3rrP@=
z;Dj$^?)sv--4~9rlo>bV4>7loSRMKqvE*Y^+!PAy?_cpMFcJ?)=RAdS0J#pQ;}m}`
zj))agjxOnCQ|jTMPMpNBZe;iUMp)Gd_z%z=SB8i66Q8xDgrCik5@gO*f~;tX5L+iE
z#5^8R7Kgb2JF$-PA)R@dd^B-+_fDWaf0VQggQ!vMgY3F4C@gEkZ_>9Pn^gljVnaOG
zM?H^eF4{^muu?q*JOv5(`k1`ud%k0tS~!OG1tZ<`Gh*ufA#vUZi^M$<SnrO9G`ou@
zUeClu2h16=!}Azhx}$CWUq1Eehp#ZY?Il)ey#OnqIq?Teh*ns_+V}--`%`AsF)LI$
z+E8xi8~hV;fbbz_h@E~9?lnHBZTLj<_b{9di$+35GVa^v;!0OJ3__Z)?sE^tLyuro
zfrtH86l5<xin8E$5==8^3fr<ohE;u>%KVrt6Z|)o$+gQc8%1e0NWR+!@*W<K6lI0`
zgxGIl&DSb%v$Fz!;nVmVD_XlyDBp?(vpN_oq}@5)rx&N?py6y9R#qg!g8GSh$0G3P
zNGMhte!=<_e|%Zxjn1U^cy!kVQ`8+{vcisL%r?k9_Yygt=4cx;!Li%V5H)T<TE;tQ
zO}K_Dy1HmztA&-SCo%uz5rp{fN0P!WoQ&RzXOA~yht7Ir-%!Om*JViPTm&D@d05k<
zjDq(w(Q-=;f3##^e{(YKx{Bj$n=sfx0W2-!LCWwrC*avIM{h?zXXb$}j<$0vCx3AR
zXI!M36TP8~b2O=t)BGiu<Hw)HF)UBxXs%7+NUu%e4E##uq?sgg%A|jA)C!U~TY6JD
zV!`xh&J}V*wW>J%)7m&<VuPG`T|VL=N@93}0_NUZ2L3tfF#oCvi?;@Fu(qO|w+Efm
z-=KUj7hC63c8o7K8@?gIu9weX%T_OB=DDj_!9O+jiGh96*~(_$W30DiGqan%o@tM+
zAnocR*12>Rv$U3HPhUx~i38#+s)acBJ9*iY!g0#e7)F}%Z<3MsK;ud$^$G0|vTDV<
zj%M@)HK91C5nihr(Nffac2DxQIW)kG@--HxH{jF|c^DQqLgYNnAKv~ii@XtK)s2)%
z*NC+pjW}4;h!6ga*nFuG;iTo5@Fou4tOopjQIE%UG`~@<!`8#K=)O~fW8?*Pv?Yy&
zZ6$8MtiZcx<?y{zhIZQfe$*sp{PALZ(kQ~N^Mz0{pc#d0K8$loLou23w3l)bQ<wvz
z|LAP(r1^tuHWcU{Jh?v`&&Z#sb~77X<bM$6qyC=mMoY@in?bV)C5t?0T+hd1>dpPB
zUU=wF+Kt9yNG~R?=d&{MNtKfqq7uqfBU~M*#*^)}=(ntc9?igWN*gGHw-Le7P0)GL
zjJq>i;77R`N7`F(adInk>DM*-@41dGNKt6P-)GHej;HL^8hXEKDOV$jv>C5Sqp_<N
z?KJlie^~{A>6KXPU5+8rIG6{OVDh?R_@ov>?Mwjz=`K&CT&d~zbFhbAR~pTFyO4<q
z?F=mZkPgG~G&Db=jB156$Tz1#GCvi%O{rL+m<DyzG|ZJs2Y+@tLIX*g5JmldPZnx-
z(tDAXi*Fb6X_jAz3*$xD)J1t!KWQG;UxB?7Rbaxk@D#4c&XER8qIt})WeeqUQa+<u
zJKjZiKrM!NFeaVw67NFoi7qU=*oD5;l*^sg2~mYk+THww!2AwqH?%?PRx5hSiG4^6
zbHzOk5I9SII;|R*9<9P>P{stk?u}DQFg#v}2J&jY|C5VA`pnMHC%q^2tye?RP@s?s
z(ND?f(@4TT6{-Q|B;wG{1nj1)krT4<7)*=9!_RS;K|d?x;&IbAo_0qGxN$oX=fi$r
z#)@Rr{Y=69I?5Fh&BW(x#Je9StqO5lrcjME_Li7M-j&dap}9#xJ@!^Kp(eEzyRAFm
zHM<M84|@>t@)v~m^g}B2H?~CoL7(;jG2aFdVmSa?(E;pP@dw&mzlqJ$hjrg5m;7@#
z1g}!=_DDM{&b1;dpb2X#>nS_F2D}oa4Oc9O$BGhM+Es{<t9kIH=U2Ht1F`GV(D*qS
z#Z>Dgbj2ejJ{DY&(Xgwc%<M(q;Slf*o~OPNdnX*ylz;mvEtK*>LNWJHC|($a!fTwk
z-&tWu=?X_T^=+}Mz9ao~6oMLK(2^KW`j;R0Y?cbabD79B$;EgR&Hwbv@N@yOo4V>T
zDX0a<PX0u7c@OSM6GLcd5VqGx5w0_a+MEeA<Z>}LU2YctnVX4ta<eVFxLLI?7c()M
zK!Dm9mc1N>`_mzuUhoIY?SG*xzYF<4DZj9r=5!79G`}Z)Mq)Xfql&R3As;)-=sU}s
zfw&zhIOdm#q&abT{38mj#t}GkDIACONrUz|kmfj_vBxU_r!M=!`GOBJT!`~7>4}U~
z4@@M#$Ed`67<_Suua`SSN8Di){vPr*#Pu_vT!lB@Sh?5_)AxUb|GzH~Q457SX)nxa
zo@I9M2Y!4f_T`&AoXsjl_Rd<UceTLDwi_EI2k>zt<xA;vvmf{P*dfZ@?p-3x>QhA6
z!8}oxxI>JMtPo??<Y^Qq&qUjZ5My$Jtg?%b@tX0lqJ{}fe>4g%(w}@d*o)m%Qx{QB
zF~htTZ>1^_6HVL~<6H<_$-wG6$%t`}M}1cmzMuXE^}Y}o`+dQaXXKB6<b(fQKA^CM
zSmNr=D9dwzoRJ-_oOq4BC#_&__5$~6%weNrhT)keI4W+0g6mHxi|!#lIX}Pxt9uZc
zr;mhtcOh$c7uvS^aC&hcr=1PaS^ESRHyUF_iW!Wileg)h4eCkfS?uJBv&od@GWG?p
z@Exb9=3W?(hdD2*QQXx5&*wv=#~~KXA0gJ$J&B!Em1aY4r?K3h(^>K~1-4_VBIE8<
zVCMp7GMJJti8$>>axzSG^<)+yCC*-z2{Bn0KIW~*#TMlcW4>4)oZLIG)UpvZ8C5t-
z=l?;qJi4PZ5S*5T6U2%;rXGpFL*Wpx3BtRPkC<=ci}rowdr);pFP!mO-vJ_dZ}8uK
z;=qs&)id6La(K<KJ<k}aGS9GK@<TWrxrgw-dT12Cfg-yrC~&-p{<#-$bnkg+P1gp$
z?>TVsXhU}AdF&*HeLFwpeZ^mgTH77W^?8UaTVuGAhWrh`4Wt?zVBYo~qRRAKy`s#K
znLof!v+sfVwV1lB8-MhO?~zEHiheP+*^+YEiKC|1K9kwgzE5`FY^K&ToAr}tSVBvg
zO?|GwO4{X_(2uE1X2%rv+=o1!+`=sEE+3mUnTz=*4xxi~Uyg^`F^|(gJcvrX-%|`T
zja+bjO~=Fu>X{ISo(oh1CxyeC{3I<iKI0PUSpTYdgWJvnx^k3Znnx_^Zw@fbvxDIb
zTeQEo#t+)_eK__48MYQ!CuNRr^=4@2GQ&C2T!d(t;)bUwHlH^`uJ3as8PIF*cmeQP
zLx^}e$+sP#*5HD<OFikc3cwlS3I#rjLhn)9#r5YxcNz6VbuGwA=|iXU7*;;#V*~ZX
zfee|%BB;jPBsG;8Uz)}iB*?K^InrJjk+(u(8cQI?G}jC%*3&3K8D(N@vO7IznWT9p
zHon)PQJie;$BVE|nyWSAf&|@H9%ZD#F2KTPS#&0*AW}U6(Z4Bos^BZ_RD#L7_nG`q
zeh6#w#C=oZQEYd{>4gqZQh5V~J=QR@c!3X%&rzjef=eY&VY`gjm+`luYIY5)p6MbX
zSPQ#lPr)JlC~_<hQoi*bbT)2B@KuK0Yc_*##|F&tS_8R5s}Q8I9J`a2V4155ihnJH
zTEPO!>{tLN(*;;%u@IF8Dwy|pDW*iP#98fiNb=i)?3A6@|L;G@*_=aSk{-lw8pGPk
z3LQs?ty18R?tjE`jixiZum+h;eKh;#WgJa$c9vI`-HlOXh12J=2g!?B&fVqgndC~=
z?7e~=&|Ss^{Z!c0%z5m<YGvlIZ93b%Lx#<`Bf(zx2(!FgK6ZBo7mE)hX6v6`;<~h>
z+qV&?NN@KrrVPd0Mffiy7o3DlOeIa@&gvv$sU)CyejGkUMC1CaNc{APKq%ig3<ZQk
z-!Tjtd7+q3b$#H1P&6M1ML~8bZhD5ntSB6hwZCEYq3=lchyv$OEbgBpo@#CqcG#!E
z<5L#CispkipcuFHDLYQ97D30FaB^!qzDtmn(Yp_?ItEagK7!jz#t_6q-e6^JHo2Rd
zMV;qi$&}?j^)L@}&*NtQcu4csI)O(A#<1n^D8wcP@%zGWh&uE_(T%vO=9I~Lwh4vH
z>hNcrG;hVFa3XD|2F;0Af6RnsDlv7(exUncJcg5^iBI$$^Cy2rQf~;d2Llnk;4{`*
z1YpiIKYXh4#*R`?WQ%^F`jNb?>xgr*!3}+uu9&~nm2$^ian9NmZW?ZQYv)e>6Y>xn
zdO~Qm4<0`D$BYx7@jfdU*Gs>m=YBNt!4fg!LOOCC^YCj)87_)Zz9;b&@5uIIecvEB
zx5lx7X5}t<{7mwp5Nq@lVcZ+USoJz_mgFYR(yxg#<sdP(=(Z@ElPb)bV+5J~C4S~x
zNf`j7y|8>g3i*mZXyfliiz;!K^_pOtRD-oE%Ap)rh%eX3i?lf%oK;B>+#3fii%9Ub
zhvWT~U^LMkY**%o7l~d-$$1a$e=Z2v=LCr#_E0-%3o%)1ydQaiQ@j=!Ty2KucE)(2
z@C>7250U-mJ}MjT5M%rnwvAlJhRUlDIei7Y?Ji@Q?PVOieg&~aMp>b96Xv__z##qs
zz0RjNJI54zj#@(DsSQqtIba*td*t1qY)&r9JN^`hIkc0!(o#;otu`n-58#t14_iJ-
zm?bz$u=iJF*u8!7Y*12xb=fPCR9Bfzicw~EPn6gKH3c?f_H_2-sw^wtAw|#2B=-H9
z2um5}XFK0>GpDLi)Rgrjay{*{xtk%PQbRheQslhM$ItLgJe-??2W7-1NQt7{_pb<`
zUB__#XKZ`vkM`T%NO<mn1*CEOx%?eArM*SG<r^3p*r1s*m^)f6@#m5`MwQI)ati6&
zV1%xVPqDP-5r)Z69T#eVd8!6jZfO9Gbn;b;JVx>AXYe#NMyQb){5DxaGs6nYR@*`R
z^*idf$&<b%0F7>;upNzox;kYLY8Jy_DzWrbd$56cmp>Nsv9bf?M{1W~qAAjBSHv`?
z=Qf=kI6sqp;!|LUtY)%VvNM=%svJY=RA$YjSkMIt)=ggYNy`LTu_$@ihR2XYbB`Uy
zJvg|z4Kqon@BX<0#nhu^l8&31q(ONo5y4)xBQ%YGvqLD>lzzc5Cjbe>-YB*4K>aOO
zl-zT|u!lYJdR{}BbdrOAEaC9wIjmk#Zq=)2IC|wFdPVMGeEb&Hk*E6Pz(pM5)4`=@
zTDX7bG?Y6|Lb6u_o8BJB+MZ+3lQ<6R$r|vIJc*l&Peb409D4R#gyDx9bl2U-sHPFl
zb(_P|lRPUnPOwY##LmruP@0Is-kx+cHkKijW}lbRhG<XC%T{HHGDG5>9y6C?+Zq+v
zv#wdp&S);nwV%hVR?cHxkLR#+pOo3Nk(o@JynwTZrP)!^SNg0MWe@HOu#Q@8;#>TM
zPzm`?W_42S+k{Z^6_}QlqPr;{VLP*6JC=fLe-og&F$Nyd5wOq?gXYB`;>vu2Y?mL+
zFDUnH>jzkFafj}0%FC#ALb#a&X|C;IZ2t!GeB_^sC+2RBHIi0YLv_>&lgZz8FT)y}
zTWrw#oVb~hb~s_-fCuC6aCe?NT!e{%9psN&(}QqzKY6NI99UN>0@vijimwu;OPh(Y
z-UH?IVR)YAX46Ck*vL*1);u82qy{8ez;Y?}$VHlot(0L;N2Qr7uQV}orm%>Wl9U@E
z&Z6x^*u+Ue=Jc1BJ+~l_hw><1ZTXE-!!9V-wjlRr9i&%PpkqN1QV-@}O+Xqr%YPue
zDF!DKBPdHM6qWs7(7^)W^3@xUc6rb_?1G3qM^wez;aj#1t_{!(Y`p~zI+{XOg6dqV
zanHZGi(=^;q)(^)iqAPHhMvN<&ZD?;@F4j+c4L~`Hmo=0;H`ri9u%*E-sY9iDp`VO
z#K1JPnG3^j%GgGH-Q&LUq$QL^kfk)LnkU2jwFI;s#G$|=hWrK*Xl@t5z*Z6RRf=Hv
zh8XNBCt*l)3RLFELi55*>_0shMhBOn=!F`NoY_s^Z%xE4&_iLPDI8|l;p$N@6i}V`
z!iV<Iv}?MKL8z4rumxA9u=B@fvgK3fvqq(5?6cr%#&5iit$etiO_{om+54(81J7kF
z&}t#O(>9A;m@$K`dn&{1c1W;wZ-v=5eLnUnZ-VOPA$&+6wuIA9sH|?mug8=_pjnMq
zG37XHQ-WJ*h0s5l4@C}TVe4f>vNID7ei;b!PRI88G~xoKp-_xGx_?u#bWR$A&C)Pi
zF&+Q)rX%(bWq%XHZJuK`3YX@hhx9O<iUL$L7C}m=6!xqf8ZRr6R7oDb1$D%(q*;-B
z6C%S~VBpsVryHbs<mtq=(_Kg;k8tL}9;i3=K>L53UHaA5)B~wwJy>tnjlKF^7+*x%
z^iLh+!)b&1oL1~u(2TE>8ga3v4g${P_1RTL?B;STa4JRWmSVi5{lXKUJYsd_ppB6(
zWmyK4RnsVgCk2vrNznYA2-OD(u$dE&(|==OH4y_L)fj}jMC1JWXf%-LyhNGiqk7Tk
z;Eutb;ut*n84H(f@lb3{Kz7y-(g7r6;kh*2p&3GXZ#J$7<s*Y;y|NLdm{?zloXi@$
z)uee@Lo+INx8t8B`7vJiAmBhB^rL@6KYaiu*N2ejH4GWb+X?zQ0*lup#Eu)rp;6Kc
zz8!=@Ddhts_hZ}DU${|BT7MDZvXMqIn!5#iN*WOAR12Q}s^BP6jyWmCNHi}1*YRBN
zt<Az4m2}KomjVH;A2>oY5cx^5IOQA##r@y$h<Gj@>%vi~9}17QVA$IR;rabQ+;{r|
zd%-VIjrxq-NZN&qe1UZ67kmo~1g|t@d(s|Sbs`M@Hs5gGG7=lRVzBF50?eC|VSGIU
z{Cjdyb+d>v2`TS<e=YjzoAC8Y2RaLSF!S$ke8?O|%G@#V8*;HFk~~a!A1`ZP#K->l
z^06(6e9ZX~AKO~X%Wie^ur%^8<P#I9jP?-m2kCv;NADN$cGJnvIBg5%_C_|rZFwEG
zf2zce<>bL4-O{G(IjEtXn4LfhlKv&YWO6LNZI8q}_pfl23q@HJF_cX{!H)E@I&XcD
z+UN<3a~{Z(c84;TD{jws#!|Wywr_OAI#mbAJ|<TF%(obu@s`d)y0<l`SMqhlXZ?5h
zn&*P7Sa&$=BsS=MUx*y~1m$w#;E6{-t}7OA$PY90kg_5KN)gyq3x1(?ST5>Ap5iF(
z9VceXets5QF2qWzMA=I=iCr0!V5|5hGj(Dd9v_ut*7W;vy-BS1ni!kJPaK$of^6Oe
zKIVReo8_GT2QBVF@=Eq%+Sv|BtZc%8`8613WmrYeK-!-y%EnAZ*6u{ot<ib9IRdy9
zihsn4)!!U|uySuyQ4hH4rYn@LIAN}-Jz8RjDJN}(1WQXK&U}u8`Nnv>^(o}%8lZ0b
z9Rz;7j{d`!5W$FZ`1lOI3!TKWj-%+Bdl<rL`=L_02PtQELG#8Alt^z!uFf_L-Ps1c
zQ`@m*-A-&#*@Iap51^>$2%=;)u}Sa(%KC58UHurzdr9Me#)dKt-XSc^2T%FKaOZm>
zjs+B8$fXf=YyZHLmvRw^Rp|dmisc-c&gQ;QX0P|pV-|V~+1uJh#4KOLHdHTQZuxWB
zku+th`)0CvJ+kbE&lKjUBhKdU7h*yWNSj?XhO~<VNTZpK&Y@Q7L+fCEt^)6!ir}Z3
z3k#JDB;TdIh;RbdHIs&i>pSW+!!ctp7=>9>ztnt$`V#VkM*G0g(hHh2i~0WhJ?WL*
zan8aGn{!=}eVusg^h>qK75TnyxJeuoyKrI$jd|iz0p%*Lp*ap^{%%YQ!4cBLY>17)
z8`^X3q;s`mX8}FC<=FVU9@~UFux@G}es&Eba48ova-sLYM}R$DC(MSJC{vCUV-ckP
z&?^yVKc0y*#Sg@0P#0w~kA>OKQ-UnyHy<%`c$mfP2{>LE!A{5DNQ~~r<kmJsC{bR=
z9pbt)(wRwK!$otmAw*|=#-Bu7pAw4*Vmj^n9)`RvL1^pvh(q6e(d_MscVFFM)$UB1
z4@cboW`~D|U*q2tsy9X~p(tREDm7DRxEf*ckta~hH-KZ9KH3Ftqpau#a^_xxgvb?)
z+FT+(&_&2*Uc}pgONcbOg7-JC<B^>n3?%Pkzt|IOKW>6(8w)H*vc@xB2i!hO8N&5`
z_-h^t&3$p0E}w-nY2~Ctp?w>jrAOBCFrR(G>?yH#g|lT?Ym_`2HdA1(V#;hkX0eV%
zv)G0vCCZIgU`oU!(DajKyY5M`cR~`Z)Kr972njF;e>!uTN0DFIkI7W)|2NTuy9;Zu
jB%~DkZSrADo-~D(DJUT3^oiOiK=d1$u7%(f*BAUBvI1uw

diff --git a/examples/ode/lorenz63/Lorenz63_fitRandomSample_RK4.mat b/examples/ode/lorenz63/Lorenz63_fitRandomSample_RK4.mat
deleted file mode 100644
index 240a71a663917d0b6c90fec668616cc1a0a3d244..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 120184
zcmbSS`CE<O*KVHYd7d<D9yG{#_D%yyN+DA!86$Iwk4PCxnL<g4N+Kdcr1PwmB%xGP
zN<xF75s6Z~=ZEiK@Sbz+>v_&~hU@IL*S^=i?zQ$@8stme^&G8i^ybna%hl^PtkUz}
z5Vn2wrmY)Y^)_$Xwl2m(Z|2rjVcS<l=xvH})tkF1N{{YXqi1KYXY1r@@9b)8uV-gt
zXUq5hc<|4jE5rNR@GE{k5#CjdH$?yUGs6FSEoZ{VC&;_!=RITo_df7G&&RiqIn}kE
ziINIo{(1*98*c?Ov4tVb&WG!m#_O@nY}-SO$G0@5$1IPTGEvH?oq5Wfu=~JtsZB63
ze$piGm=4Jku_LF4y-CmUP%>=uAIUwIN{n016FK!;<V4&Pvd6NM-1QhE=lUe*-K`ol
z%zP@%{_aNWPR^tGx5H`Yn;o>$Hj&m=rBEw}Q*=l)lMcPereUTzw7NZ;>b*HjSJ5=;
z5SC0U=j^3dwb#(iGv?CJ^LBKZyc)e3J3+QPJtKGdvx&|22=Y=@g(UQ3GcUhv;565o
zvm>$(S)V(S@M@+5NV)|>nSKo1cTR>A^=II$L@t<XT!W`(cfdEa0#x5u!LldMV2w>9
ze6Vc=jm{46o7Dv$cYTKQ@dMBs@g2UH|AK~=KQKCt5BsA9aDI^x{%aILvwkuBZ$tv8
zevv})Co*^;Sq{Bz6p&M@h&2kz=rv0P0|Qj?gSi^cYgEHTPjwVXP{&_M>gcmX9WRck
z;i@HSSdprV2T!P==Q?FnQCGrKmlUu{Q69(E%3}FdX}tDM61PZ5V7k2+Cae&_kTf9_
zekFkajQH`3#y<$unt&e*$KdA6QOG$u0#c{H!`@HBP<?m^CUy<N8Fm077Y#tU`v6Sm
z%}G^Z5XOHDf{f8H@aKI4!N?y_75fvmKl=sTrQ=X(Gzk(4e7K~LACu+_qM)=eer*y#
zwLCF2h?c;RSyI@qB!iXBvUvBfJf1RAM2kWt+$gDnJAG8~eyAFX`lw@>fCk<_q=A>4
zHL!C)15=)BVChy3bo!u<FV)piN>>eMjHuwMY-Kdi<;^>eXFHU`ul+KZDk_bps*-q9
zUmQm)L@|jYjQ5ucVssKerf2+vGXDv<<30uoJ4Rv0zz?``^BWXY4ndajApCvT4=DqE
z5E|GAKjr$s(YO!dPWHi-pni~w9Dw+yK?pxG3`dTAhlOuP;LOHfkj5DYVV_A5@#I6b
z34Sc97R0U#!g%taD9+d>j(Xve=-?-fE_Sk5B_@w^o-5#tol2-8q=L~KRgo!H!yBlM
zd-62!=R8f6uhPVmlbWdTM-$~9YT`K2M5`kj_&rM<H^!>r2}4yB&QnIoaYYQXRzSVk
za(Hg847$&h!gw1A%-0mdN(m9n7Zk!WNdXiz<wKhX6JQuJ2F5c-;n1cZaQ*WzsNNog
zjg9?qcy=EoYJ7#KUSB}H{xf9V{tTagd<LmwUmz{vD;%!xgP6?&uw~^C@Ll=_7Pcd>
zMerAtsf<Iws!536&WE$-3gA2!Aq;a6!M`qI800B|On?+F43@!fL2@{QD&TBYCDd<F
z#_qMM_`X#QZ)$4b3JXn45YfVr0xkS4rj64rw2@y{8;we|@PMKg3Oj4!etivm+@yx<
z16A?yC1tF9sfdr-<Z*YcEY=oC<GE-_tRmw0SyB|k-U;DUt^hXO<ioeolVI?83^Id8
zVTHvHNS;3o)1MDOes&+I)qVlZpwF;n#wV~i)C&)6d*O#$FX$Hbg22{K(3$ZWcJXYY
zInoEo27@4(I}E{5Kj7T{Q3!uC1{oVBft$&PerE)*J6{OJD@E|jXWqP(c>jeXjS=Cp
zs2?kjcm7kv%GJu)Yom&7uXt<ctAR^SYNGH(Efm<UjR!?_upn3mcdXJuc}pEEy`hbF
z2DLD;UlX&hY2Y?{bzFE*75$2oalB9wS09weE+1KZKPiRP1rqq$R}4je3FCN?AhvGd
z$Fo^~VI*Z7zE+GvqSFt!$u|r>x&tsZ<109A`V1Q{_ripG56qw04c1q>;MVpoSaqoj
zd|bPE7}f(*lY60<e1`4wzk=w)epnwn1PTYg!`rt%K`>?v6ayw<GtagU>jh9jKp3yP
z^K70Xj_2P<;toR@%w5g%#j^^SdshiN@2X&Ini`gQYM|*8O+<NZl-AS1c>_9ld513A
z-_=F)>$*6!SQoV`bnrl{Hcq{vh1Q;$SeB!X^;N3qTCR)%$%@$EB9Av4c)qk)3iq~&
zqsUTGZ2KsL?J)uvF@+EJy!-?9XMcg*)gK@zISel<`$4AV3oP>e1T&0#VAGl|cq;!9
z)*62R?xpvTbL>6%cfE&`IUk^~@*^zs>4tyyy|DVf&+tjN5BxL+p?UQ;(BS(C67PRQ
z`@aeJTf~RL!vYxQEsXrvMKM%U0#j0?&}>`=_bivk_#2A&^RqJU5>Uh2BkH)WOcQT=
zX`}vG9sF`d7ZtYa;kh4rm}8`m+r;#-?3^C1ey@wqT6Hk)ur~UPXrhdP2A)>q`Ff`^
zUXJ7W`CmB<T`PmyRg$<tLmZ>FiQubdL9Cj?k69&?P%1hG^YTX^?KsarU-g4y^cOg`
zyBA77cflZhfb$~nA)x#nwDMxpvh5uZ71IGKeI3wV`wr@q-$U}#58&9<1$$QX!g1Fx
zAitT1bAN{5>+2t|eEb*851W9^@qDP&Cx9>33ZuzSQJj}7fy4UJ$lQ@du^9@;Em6WW
zNmWdDSH~7VO-wP>#+fxde>Ty>N{&8CNEl#gq5)PH8DQ=n1JoSX$2|u6cw|f$Hznxc
z`NvvVTCIVeN7e9(p$a}ZsfcYK<Z!yC4BF0;MBE~Vhk1CK{Z;^DEcvj~{tvvIHwt+F
z8$8)H09P}=K!<KGq{((c`^NY1V8%O`75^4$UE1OKnl^BdY=ebU+Cb<=8=Se;4kPLv
zkUsJb4!L}Q;GQnf8R><HFy3A_9fV}}@8EKE6gn6EfdYL#EG`ki;f2EZLQ)LXYb8+U
zh&1MT%i+&o3OJFbjDd=3xOSrk=AG5TQ^$1B*jo=@m+50~hXH2aoPwJz4AI`t5Z#mv
zacA5V+;Y?a7kKOAYo6cB)M(?9Y)#ahrjGIFRB(2SBF6uaL!WVJy!cZBt%pQWXIKcw
z`2^4|@GmHT{0(~LKfw9RAY9$?6_~ZXF#pL%7)<YkfsVJJmemGcuUcW(p%&n~+YAXS
znqf*pGbHM^K&xFVe0lH&)bF%In9e)!`SBh;T6e>Z`cIJkq7S}I83w86BXEH`27W*O
z!eSc%H2y1uP937C@k9c#R2q}c%b`0D&%8WU@Yt{#wr|(OH@rD4>e9tM<-B#CJq6Pe
z4H4ED;h_N|3{fz~m9LC2+TIAgZ4J@4!2pZZ^wC&G7pw1UVWlAt7Z$5xR+tjX&z8qT
z4H?AuJWf;~iYK=Vq3i;Fe4R4^dT&NSV&yk@J*yu?PJMzn-!3>4(+O1jE!c710N=Z2
znDh4)bmTO_)5=CTxVjNUk{jX4)Fya0`xWqid<{w8T43XjHsGx90JZ1u;nbOKD6RSo
zPyGjAnZtKbSo;f(bxlCAA3v`46yn8UQ7l~}f%6VXW7P#Y+*G27I>jnzoT`o~9$IKs
ztAmq@`skuI1@FEv#3>fWIN!nqch{KUjtLX|`q%`w8Jb{`x-ptvF~s$)23T0Ehq(?q
zxR__R${01=Iae81{pHO&oyS=Wd47IV6z_Toq2n+gI&b&`7syZ85IF=Je}91^-@2hI
z<UM@#dJCtDTOt1JYcQ5*f?xa%a5TOiUL3B2zbbX`)w~V{E9*eAqaOOB8=x<>38ZwJ
zVa)gqe82b>xJP)H*VzqY>0jVp@gNjx@z$Id&t|>-2mI24xO%1to=z4=sdgzmXd#Dx
zcknRix(cQ|RmbyOEgX;6#WP~Oee7+BjSj|GTy26qBc_;DW`?Cw<|sU9hDVl~VeCRv
z<a{*7C?O+EuQEUp3q9QJsf`U<8d$(p!M{$5*ne6U-Fqa_&rS?492UY4-}!Lu&vBR?
zFajQ8gCJn?8RW`7!sMe4I2`Z>o~?Qfn}r&o)4CqEet8brw$DIAtQN#KJO$ZhPhmsz
zQ;>O63+KX~!;X!0@L=pExCy?3?FU<6)82M?@P+3y&<%EzU!e8u5bQkq6Q(r&0bfgg
zlsPJd*M!6{FG&(lD#_yXECoEOqJj@%)G^?m7H+TBMd?ffR53Qfz7P}4b1}n>*UWLS
zcq(SNTHuI}1$J~y#oQm}sC>)}ci%C=h$ti6_{abUSY6E6tc5CFYM5!HjQ@Gb<GVm<
zT)b2qAFdO|=45`ndh!n}Up@kM2M0h~^Ap@K`2d8sS9P8>Lse8G$mQ2T{KjXn;du?%
zVl}Lt^BAPpSHT6%Dwr8k1@+dCp)0i-`gYWSeorkVwZ4EZ-v-FyyoNhh-avlRJDB#S
z3nET_fvLqqu)=T@_Vi5vhsRd~b9nrCkvKYNOJho}9Hw4TLZzi@Xf~vY#=O`(bi@Fi
zb{XMo6;m`?V2)eNEHEU=5`#8a;fH5dD3))9yMI_>dAS9u@=wL%wWgS@Z;Wr`r{K9l
zUEI%$YZF3h`0|S)UcV)aPopF;na9iLj0vD$<s?AIPq?sX5MDE%;8@;!*qYh~&xBvY
z3x$`^QuYjPk3WGoZ>r$h!b-Tc8KByj1^1m?&=2K;PA3;0e`8_aX@s07k6`|RYPj_5
zDQrxC0S-M4pjFZg4@cW!?B)k(ee((Ct{()EB|l*r4_B;J1yE*E7~{so@w%W47RoE&
z5;Yafl+-}4ciOmhzdjaxF+^)&Q`}!|jzzkb_)O3mPpz@RDr$=-kJzFl@9H0BgC&Dj
zcxBK6Z>=-OKkH3!;@=dUbkf5kQ?z*bk18HpqKE}GJbq*)fnUxEW10>>?m9RIoo3&_
zffskDJ>l_?jy6a=^a>)M*TLD6r*PEuF_^DI5aMv*T3I=KZn+O%&Xz&U#68fSya&#_
zd-b~eAbPeOX8)=Hy<Pw|yb7kRuYo0F&!JGN5i~Bez+`a;aP7OH*rX3?_kV|7)5pPN
z3O|oW3Zq1-IPQAS!#Gz3G(WC_mzy+D{Fe^u_8H)04iD3W&9Pm=65n62#>z6@oIUOF
zyqg1#pLW2{z7A*>YLEJjw%Ax`jaLUOaO!n4+%#&0XWI19V1qUWbJZ}ro441$$>8GO
z;&@w37~Smna8&3Q%#|1fkHbBneyjuTO>G8&we?^;=P8W7c?4dnEX))tho=|r!S%jU
z5bC-G%M(jr<oQi#y?+yAW|cth_FGWyRtlNfcOmQ4eX!K6fV-{;2fH7`b@gY^-24)h
z)mosWwF7z-dLW1G2fOAGkoBDeHwi)1JT8jYt)%ckyBwAzD`T0J23{-EK|da*&vi4w
z^9ob(`(Z2Oq}pPri~~NMa72qaPG~&jgwH-Wp`xA>Y85%6<6(Qe2R2w3W{J+b%}_<p
z2=7Md;js`+Ts}nwV`}7(;pKq2f+F~$f)771zrZJI02;KqA#`~=$a9(?;psErh&~3L
z2`<3Z`_QL&2fj@!0a1lwIGbApDLq$US4$yuZZ8D)2Zb;<{|YaD7lFZ&>#$kxCam3e
z8ya@rg9M?6Fozd{D_>QEuHp-rXm0|IsqLWp=OgHN_CXro2$UI2g4sMlykaYc?$*+H
z*^Q?e_^RSve=Y2E(nq;rBdl9xj@(2mv~sq?ibzM)l5)m(qOR!cKOK$RrsJIR({Wm+
zE4sXN#zgOF_+HW;9W1S}nQM;snvF0nMGr6j=H>17%Gensi!Zl|W64E9bpG@QjtmdO
z+t^-slkpZVhBSdeYb_j=c?7RTAA;GFJMiD!n=o>=2$o&F3<q}SL#B8xMEYNV!Z|sh
z@asI}`sMJ(1%MwHL3w&U7#m!M_JXUh;Yl&f-G3XzntA&Ixll$QL(YQd@OZ2VWX<2g
z*!ym9P#uIBkA6W+KOY`56v3nWB+>Dw96Ih$LCtTPIDe5oGN+93z{#n&e!2~=+v$M)
zR?cWPXF6)!n}Knm4Awgn)SpK1X&{5uCud;Gm@Cda?Sy{O_PFVm6$Xc!VdsS@*p;M>
zo-V35@l+1|7f9gT?}Avi{txJe4uRRnE=Ur41GznQFmdoPwETPsT&Fu=I<FYS-3lRW
zA{WY2&O^@UOc;^KfWX1iFfa8K6n;#DU0>2*N%kp-8b1xulj+cqmkB%jvZ256B3Ldi
zfa80LAde}5@$>g!Jd+C<cGVymQ3u;BS|Iw+d#H>03iWSBpzGm3*q<njnF}P5j~A0t
zym?yEY;8R2JOu~-nqmZR{pD`hWAjR9^f}~)<$oCrFLB3<Ngn7H?TL|*o_K4e2Zn~a
z<JENxE<HLO4Z5aba=a~X6HY}(1tawI(7~T>s@SO^hYQEW@W}{27L!p}ulohu^525c
zr<agC_81I4m&57@w_s@7RZv#WgUoYT5FnTiSG`Vx-HM~|&+`a~jU0we;fLTs@<HHV
za}Z>{AA~I?hvBGTGUO(tz{5+&;Lh4K(0-l{x-YX})s9@~dsql{mv4Za(>?HuWFgX{
z1}w1wYTvcP%8Xvv(fbXYxs$MqhfCL2Nn+$zdE9@9hgs&jXu&nYC|<0)<!^_tl$}vv
z@eF)CMsZ%NCyq7G!uEC_3~8Lh%hTszOoR_wO?czBI1l_e$>5q(uBaR4fLjk);x8UI
zY~HDZG*ty{kIUeu3nJKco2M6D8H7dN@8RP0M)>jlF|0Cq0KbE7!2W%gAp2?-B)&Wa
zJ^iV0>h~eA>)Q`uJNLkGjD~{TE#M#?1sXk(@XjO>zE(xTosy04wr4Y#EZqSIq<2Hy
z<UV*Le*j{ul3;=AF}Npn8V+4P2Y<ij!lt&XFdlOooS!~~rsvflp2&-n18?Dm;1>{v
zpP+Sw$47RF;fy?4{P$A@gF<!i^fMzI(z3*Tjt<EE&fE9a6e}KiVawq;SQ0!BP37m~
z*VBQxy)h6=%IBkCfIntr`QpSaZyYG0Jnra<Cj{-$qu3lr`}HxqUkzur$YKpo3w7k1
zfXhF>Lg1}72nc=#PJ9($^xy{kJemia;xi!T*ikUMeE>3^?1rtDQDD3;9O?^#VcB7S
zSS95HHJYAadXa)x5(D%R2Ux;@;3$FdH#5PZ*Bjoc%!Q)$fxv!T0>}2Rga`9BLPtOh
zSk2xKaxzJ9anEsBcs>K3Mqh*|=_0USdk2J40GR)tgMjNBSpKLNRw(fF4;cYG{7D>_
zi7Q}5xCV~!a=Z^KregUMdo&oDj_0n<<Z&M#{HhgzE}ItO$`ea4H+VUw<c46&q7d8`
zwG3~64aVi2fta#kE}p9JL=%x2sJ_=8byk|;%RU`+o~MKp72>$O>M!iA_zKPETR`>X
zV^~>Q3eQw8!OyBQ@cdyCn2qd)r#-9TjeQUpvNM5Q<p@WF%wThj4*2FM!;N4W2t6nU
z<x)a0(8vc)2PfGNr~a^RxBjq&Rg<jUTRtdZ1>x9XQJCf^1%=h}u%4(vRG}^iikbqu
z+7>pwnhyU$ydhLI2v*C5Lq^CJ_$?U^m1fCsMClZ`w4Mk5eOF<<>ODv)r~+??Cb;_O
zBaF=d0U{d(FeG0Rm%1zCBYRz(8DfShIrez}`3$t-`GmDn0J`5?j1QPFblklL<#ab-
z_;3`C<0dSLiNduqk!Y2+3WF>{Fim~|UOViA*6%r}wcZYYM;l>nfEv2aki-IB&X&p3
zt`<Lj4&U$Gg?x)#*z9@?_VIjW$a5KFy=DOXjiED17S?5tvZ}8eSxf)h?Db3O?9ume
z?5Ug}*7}t-8`>hv-q-!i)#$#*UGXoKJD?TFU6!KAO?!N=!aR0r1z)y~Yxqo^8A2te
zXAH+Q&){wp=M+d7bKoN794lSMk$kX|v-5Zor>`)bb1}GpbLZt9&R<&1>F#LZShjrS
zJP!ZInfX?N;ge8h@|PGgy~B1)`geCmH7ST``mlz1Vzq}k6qw9BoSDv?NxH;L^|`}D
z6<0GyyWTL1G=~@;FF|t0MUJ!`)*%-cSrNV$4Ed`NNRBRCOFW<KC99vMkjX!pggttd
zd_PxCHo4Rhi1|ngBYu;KzoNAEoDzNeTc3K5Thr+~IMl;(F12f1O5OjhqoHm)scw8c
z?Fl_dV}2#k&mt+*J2ZtBd`YH#7Z1@>7x&XOHZgSB(Y5r-&xJHV#DjiXVnbiXX;ItH
zVl?t=AF*nELWajKk*uVH<ePgS$vU7zgg19EQBH@Lg1^0-oBtkEY%Nn{&!@(-$;r3b
z-zVR*EyY5>%u$8nC{qw$=?oSdykSbs0*Jk_5>71G0^(odK+5MJY~!TDm+({2Qhg47
z?92m?{Y9WNd>dqHAHpq_YB=0h50_QjVC{=;`1@-J1dsoL$tpqY{VI;e)^fZ!rh*}D
zTG*~V1;N=2=O|cX(lG}VJmrFy1vuEtr6^GBfg8%a(BPRj_O^PXOS=~iG<sk_4aLsd
z8Mt@Y8P^8c<0EBDv|MP6ZqB->@lF+&t(8OhpJJ$z!;cYvM&Q+~Paxyf2Fa3j;967(
zGi}SDI=>ihixt4hW#@rrr^Cg^C%~pY1&-Z14ByurfVfZlA<Zlvq)qlg>#e;o=DH8w
zdBua(*nSxDI{?aFhhbO85qPe29Af)V!Le1DkQsjgwz^*i(W}Lv`QR@6+{OZbYYl|<
zG(zOr4$vO@4BOs~K>Kw*44W#7dL7cZ>y8qp=4s;CNdtTuX@;o^Hh6vQG?bj{hTpO%
z`a62z?2*~{`GGI?NBQC22|p}Y<cBl&_+s+5+1N7M6MIw%?wN4GYE63#&Yp^XSEt~P
zNKNF5D)MR)5@@$v0N3V?z<H}42-w#Q@})Hp-BAw8;x{2-#w7^(?;Ol}bP`@m9f73*
ziLg|54{V;Z4Mg1|Vb;3{(3A>=n`O)3OXCu_IA;lbR9*@~Cd&b$L&5T21e8Bq54y#?
z`1dLn`ZMC8qld=>UZsHNnlwNj4-z<<3yJ1Muz61@I3{yJDex&AZ+!*TY9HW+%plN`
zKS0KWkgkwI+et+%L{0o~W(sZ(pNc-h_Sm}A6)QLtpC@?Z(SN>Zb0`37z6W8A?jl_I
zV-e;pTZEq%EWk@W0qCkTmxuM<C?!VlK93)pF0)2OGh>{0NegTLDWK#^9*%$h2Q~Qv
zaKZ8|Bwl$2a~&Rn+xzP<@7@Kt`0y0KKoa!L+y^VxZ-Scjp)kHN5Oyt^1xF<q(2aD0
z%^|jM@tFlEW|_hDauX0yH-WvEOu%n}8SK`zfYwQC_}1?LV|}i0Yl1?+6dwp*9S9fe
zmc#4S>mX}-G-O!rht#i0@MYOaFi1TI*$J0m)~uT_<zqP%EUW?HE3d(irwxR3eTU`{
ze*9S^j@7;jXlSE}{){08FSo?ItEb^CTLzz`c;nld^RQogA!dJAiu}Q$Xy(5X>vJRU
zvSS2xPln+U{t#ThC>XPi0`UF$St$OGgPMmNFf!H*9aVJjZ3a&}bri+D4!@zR=_5?r
zUk7Sy%OU8(6#$pBz_=vC5~o;Lb|Vyya(y7l-3gv58N)d#RVd_>fceKK*$X?rvY$7!
zv9eQNuytE2Sy9Oc>=4{$CDz_x72B?{FGh>lCwbRcz30X3tk7F5yWk%CuAqV~nE#kP
zwXBZa_q>%&EbeCe6uz^HhxlOaTQO)-Re)!+wcuT%36yl$!^C<DyFLA(;ZP_n^V<s1
z?fb!Wb1Hls$pEp~OJFT|8<vzI{7P<sQ%N7e=MIlk^J;E;on>(LS2c_iG{j}Atg*e<
zm6t1cVZw$0Ea_c}bki#Ay}l9EeYWG`Z!xG5vKwQ0qv%ZxIyY^@kjM@A-`j8;-?0c2
zPW#}c95-zKZHd|cbkJW+4tFf!$9X)xK4i@^=#jVu-J3Ik|9T>r9}EM71v5Y)PYXi#
z{ACxlKV_5OXR=vx;jBldDqC~oD%WjwW5vV!O*1lz(m1Ewzi_r>X);fCG0d_Lq0CqN
zeN2<@F{bQKHe>(aHRgkGIivLADRV&Z4fD74Gc&$>jL}UMCMCl%<jOxava(?cso!Hw
z&S|@mxwW&&!t=pI=FVD@VZMvBrXD1PjmL@d_j6=q>@t!6RZ0>@DoM?F1Gy^mk#t!9
zAlHfnXsN3dt#VSKqQ~^;cf+aF{k0?Y-b!d`l@E1E38EVD%jxjKRrC@>(oH)y)5vMt
zsQIgHbhG_dy39X{u4mR#4U15^dBH;3CN_tXEDlv%YfFVHr_fiwm1%T<7#)-tCI1rN
zl86OWgce;V_IVk^)#m{5p=(Hyi#OS_)SSGEl_O%6-x<AIPnj71OUx;=1B~n0046(A
zmzhxd#3`PCmeZwT#_4`CeMZ*Kn2PgGdfaO7SnlG3m$(~KpK)((9^#hviLnva)mZ}%
zbN2N&SN6il9QN&@<*Y={CN?BDp1nJCgq`~946EOq%NiElU}vAHV2|H_&bqmDur_W(
z?38GJ@SiRP6T)h+dDswstJuRxx;r$d1%ia-YG4oTf~tta5Snrd-n_U7SEk>DN4+d;
z>Uar{&AOnneiXL#2;)^@d1QF{I{V2KuWfY1Y7KX+zv+j@T}$xcqSg51%4R$e6^p_;
z`>-u|KVBdSm{-0ZD`6kLF4=`jGq#{f^eWV@UWAZ43-t~-<B|_17^J6)>^Tu!?>qno
zx9WiZM+uZ!q{GH<|G~EV^MIT;hBG_(0mOj~l}=<YKGb5HN4Iis{;HV~rT3h(nNDRS
z>(?>U!cQ=9sYQ%L$0G*I+ZgwhVW#qx0C{FFO>B}?iR*+u=_#@x?)RO@bN88~WYs*P
z#92l-pVkrX?ig}kB9U-crx2--)5Lt@Jb5wa3OTf}lq@p@;#mHi*z2^BHs8-g+5Hzu
ziWQ^+mnG>cEhYNmi5BfXVMI49x1vI#PSj@=Lt|!p)3f{h=!(}t^n$_?x>zKHjwOcD
z%NxR|Zeb{`v<aa}vP<agWkJ-1GnYE`c+iW<(`jj>E!|yhOsktU>BA;DYBVTJThEV@
zIJ=Kz#j`pRcI+W3NG~E@Jpb3rPbE25_mL;#>&PzM1>|#{J9!jgN3OXUl1svBWLl;)
znbRyp?pgm~%HxI@)6iaK&xKAVRH2<IINHj1kF+q(rf(Rk{FZrE^q#r;p_dsb8DxsJ
zely$C_=)*|D9JaFB>^*3Ny{ufA`xg#IwKuP*d<ENDb6FipD!ncpEeTDxV^-8K@xfL
zD2<4#<q)M6MdV|C89D!>np~UTOtw7kB~7z`6W2&#I^RN;$}Co=zU@;ep5oan#D(??
zd(gB1KWaU>h>CDS>3Pq!RL?7l-r2d82A|(fLym2ygN|Ei&gqTxN$qO7Tr7k>O$($x
ztT%nu<x2aPSkj?bUD}Z<PsQE{(#ul@h~ncWGSXB|oMJDLzGufta^Y@bq`jE*x4V$6
z3T={nLWsz@zhwd<N||cK6U@iEE1CQ>3nsYs7v~B0BF9{ADo4vfW=8dtqKckOcWzbF
zNv?%IaL--%%H88F&epEeVjoIcvr)S#dy7Aawdz{UZV21O4lO^#u2(zBI_=G7D@v}g
zW-sruEq|)mdy8JNH^q9`zmC7y>O^5M3YG&GOD*`UZ3d&BPN49}3mQuo!5O#p;J+sh
zPRvb)70b_n_r5&1_oM{kW+L3+YXl>)Zn(DW7c89+#+N;E=(SV}cYE-3@i+%8Ya^JY
zH5X5g2V;;<1m>GWVeQRm91q%qDsT7Uizo5;DkvVCf5c(Vo*2yCxe1-DBhXcJ5e96U
zg);5VsPe!R<+rL~;Syf`f9E%7OK*apHTS?xJsZwHO#~Bx<?wim18l93h5QvAY?NFs
zD>bp0ZJjmBEiP2&?ut?7)D|^z29Fyv(uyI>zBPv#jiwwXwe$`nvZ0o7ng5Pax&Mvv
zh!!B(>QbcSlQQA{(<O;}%}H8<BS|-*B=g{0Vq3n1T<Ba&2Bc$1zjY#6_A7<ttvf@`
zoV-A0>?tBq_V>uFibv$AUITf#qLXZi9VD@<|B?$SqV(4cIl9|PomQ_jpeC26Qj1Op
z8uxJqb&U6-FAn(8hPw;soHtA9m)oKAl0pQ{s9i-<Dpt{^w=3yS^HBP|d<hjS4WyEu
zbEsqyrCO#=G=$HB21e`A-X}_wScucn{6EC7vWL9wdr9i%RuCiMA`)wmN!p5%$;}zD
zq`G?r`DHVk`2TYt5vEg!|9(Xh@==(abQ@vTX}o7puAcF40p`-wJ4{kT5o3^+&y12B
z=6T6EW_RUT=IVm8%+bJ1ChtlXv)1PVqicDINuOK9j1}Eta(&AgVduw8`mUEurC|rt
z<I~415dOnVa~2^!&9cODlLlc_jme*GJ2E~@$cF{~WR6W3Idgs+@qM2_PPQK<w;D3Z
zx5mpPfA9{OXZM&KDSS;%FZx6dGUG(iLX_G*k*B5awP@`MQ+i9^fo}ZG(C#a9=-Z)%
zR6aJ0*7U8X3SYO<Le*F*q`!xDSH@A7hCOty+b(LSxSf9AA4&5XL#gEQAo}637ySZG
zv}1!QecPu-^N)*D9p)!d&1xmF2P;U9T|P<VrVzu(DDu?Qn{3UPLWYkB61B7!OtfAm
z(;XSiWTc8PiPNJw`&!pLEaZ>jYAEz@*XkIsVW;P^Ew^^CMrTsljX^oASJ+MVwIH%u
zaSiN4>5uH~{_m`WnE)(tk%T@_g3eYQ(9Sf2W7>`||33=t^?o2{w;cQ`Hb8L79#HEz
z1YI{zz+=BG2zzuHf;37YYdJ#msd|`Q^$za!4Z<z~J~ZSP$62ctuuxA6SEw1|UrQVO
z;^NBFvpw)IPlF*^3-NTza&%c7fnFi&u>a}?B(hO>A#x**-d>L@zpcVix&rq!FGTL3
zFJ65`(W%7|w|kml#Ck1kN|Ht2cLHc?GXVeYzlNR@EM#<C1>@W4uubzI#G7pZar1c~
zrsfEqwc5}iFAgHH18kS&3wEUaCR?wY!5+%o&*t>3V1tVoHfvxCyIfz2?L0BWHTd+L
zyD#<z_x+hO+-14(+^>eA+%xaoxp2{(+xb9+`{<YmH`3)t#r>{#6?enxE7mAiRn+c&
zSdnU0R$*Fmw<1EZtir9Oyh3geE2c8F6{!`kDt@f~P@y$*xFWZNkNat}1Xq5GGIvpp
zKKIB8YwqlR4%dEi9@l#?oI7i1Cs+I2A?}~Or??wya=DK)Z*f2AS8<=Ews0ks2Dl_f
zfaSX_%cic-VfSCQVm<B?_C!q(t0Ei8ru4?M%9oC@lV8uXC%SL25|4QNyrP8_l^tS#
z?h%60UIpNMHGp@e4#16`1)VEHpzU@vuLtok6qTk!sbL`uaUKApTL&5)U2y#HA8<^Q
zz>EcIcx>DlkA+XejHO<foV^fzo~*`#<<Xe7dO!BxJB(kSrK0w{6PP@H5-(+)#9eyF
z(f`B|Y*Rmg+J9rQ#d;049GZ_JRc`p{q%j)v`Ys1~J#qbOU%<Y91u#D_0o>(0;fsej
z@No**=_|z9SuHA@+mY@}r~75b^ivOGDj-Y1#gwS>GeoN_kVM{FP0ajbh}h~x(mE}L
zgp{QbN8xj%&mossExSU-Qf`vl&G(3p7fZZ*t4Te#j^w{?CQ4SF<YUbzVw68j49drd
zd;&i;oFPK*2}x4H23eYtu0&0I)v3Y<ZEEOkK&7LMX{m=fy>{P{Lb(k+<!VoTO&qD)
zj%oCuh7&E6bE4fr)9Aj>4z%f|9o15`p;k2(wC{&0y>!ixt`X6rE-IQd@|!XpxF$z&
znIt`|C_<-x<fHR${30Lu2g%!pZX##<mYlYHMbsLf6F1{(B52LyRYMO*&6>M}lW~ju
zjk`fEs$VD5Ruz%|Laq{dfve=S?^ROcT0}CQUL#hc#iXyIgoNwdA#;@PlQkDANJK>?
zDP31XLUZd#{mR$m(3Q8Odt*1LyV6g>gMN~8;eSb7mmtk96Qg4V($q0efx28!rB=tZ
zXxa*Wy6&G5jazC?TUJ<6*Wb3ZQO=PLopGY|u`YB?kt@~HpH8>Ga-|`UT<ED`C%S*7
zBNZ{Vqa$;z=$g-FbX3ZSHZ|(f!2k_vkgG)F+GKe45~rJj1?j-SKSZ-~m@xnKlK9%U
zB)g)COb>rX!toIqe*ciDSKTEYktJkr%QZ46bcGmxyF_9#@<`9<MdB@XksPeKK)Ci7
z$s(^@qBNODbQTnlzdTNQw(}ZMmnk95ukR2i$8xgY97*x*C&Z|(j_i$YCU%AIh}-f{
z1XG7ef%Q01(iEU&vqY(Cx)i-ME>G)MsnWq3E$XjeK$lpV&?Zp}8gST#KF@HVAqLJ=
zTXs5?nlpncKjzSHn;81jouNgp9BQ!GjZR#0q54+SsDq##t#Y-bfdeLVj-vq`vecrX
z-<9cuELpnRQ=A?X5TvK-$4H&zAgO=-k(he465q9TL}K1!qQqZ8G7|2P#@1qz#dn4L
z`klwa{~R*xn?-_h&XR<i>BM*U8FGF6H2G_GhDZsg6RX1+#P4P%>D!e}<a#fV*~9td
zaK;rP@vfLyLMd_Ql#_r(m84a?mc#@$k{p|MqMg-E?j9W^m;e4IX+!*U=$I&VUMNk4
zrYX`mJ$33Yq)Q847}EKx&8gO1YwD5bK<yP>Xn3C+U9Ui>#TIueGBT5n9`T^ZtUc)U
zc6Zv4MyPuD4BE8Nh2A;jKpSMN=>l;x$~j{|WnXL3f^H=`^P@C<^jU<e$nnwlZ@!a-
z`n@Dyp^aobsw3_mRU|Fv0a1EeLNX_=kUxBRq@*{CL|;iK&t|5P$Q#E<Nlyyt>r5uu
z=}F{{2yd7qk-DEr<okvr<b6^qnc{PtNL))J=Zn)xQa~1&ICYUE$6hAC|6L~%W_Jkl
z^C3xycubmh)RAW6RuZ=DBl!_DKy)g9lb;I(XnKMe{oO7@*Und_-n=}cGthvBmzq+!
zcUJUlsRMnW?n(^?IW$dSCgrU2q8=@?sEd~mJ$}iDKIxlH?Nw*d04q;=nxV8b)Q#@H
zK8^n8WkXHonbEcV`aFNpp#OF#P^|(9x_4NB@^_4qn)RPa*|j#ZrQ!vNx{2iF$-Bg9
z!!>f1$s^HH=g6PBG_ol^mBecuCWGk-Wc2l3az}j^;rqIS;IwUI&bKWjUurA4yJs8O
zJUyDc=IkO9`}dM~fdn%C;UEbNJwhJE9VeE|8S*DDi}c^fBON>(iLbd$WZNE+cjv0f
zkaPoyu;Ssv?@y$A)d(3W<)gv7M5$Gb4E4XDOocvZ(K16r`Y~WCRi0x<mk&A90S$(l
z6?#yKEwkwx|G8A(*q`2c6+lmW&!;I{1E_o8JbL}x9Qt&HHxFYdy{R*uN<Ofsa(AcF
z`OFl0HeQ3e7Rb|Ajbe1WDIaAH4v{t6I*Fp&OOic~WSr-_4QC5Ueo{6WK9)w9!enCb
zY(LR{x05(2Y#?5m;pF&-#RTUDlJwbrBm#WMrkq*CrP-TYTR4k2EBlZRvAM)*Y5?(!
zSx8C;myvbHBFM4j8%adSPIACEo=iD%i0E!UN+kKukgA#I$yCl|()jZxN!wIT6mC=#
zqq~hnH?fmUC=HOP&_86gg)ki(k)mP~O4P$zo9^0aMBU0PX?49Lot{2}`gM8GO$X-C
z{c{7Trqn`eczQ7{u3SpXcP^u6bC=SioW=BX&;ly_XC8G5noZ}VP`a$ynMSR%rrY-z
z(fnDObm62N-BBY#)h>>ad+U2iweBmjtEZA|eSM1<|H~u0cwB#uQZjk-V-FeATTjf-
z1e09H*<^O-bfUM_hJ?K^CW{($h;*nLsa~!~0!w7cTn}k7O;Cy)>X0NQkEMuei46Ih
zE>CvvP$nVX8bnJ*kCZ((CdG%X$lKXYWQ_(T`69mLr&ch@-?)n0me@{S2<|7b50i<I
z>nSqj(0Sroe1&wE-68%rDoI@WOEPDBCz<UrL~Qu@sO}3fI%`s%rtj6H7u<|!y|Oi}
z?{=mOce~Ssyg77CFNnUowUj<n38$x|*3e5!*3;C+NUFCWl4ieNOM{n2&~*L~TJ&=P
z-Mh_~nj@u(=F_O}xEW2{rA@!}%TcEzLNr_A8;KKWBcs!*$m;qV<Y`wHQQLcjgv{JY
zG!88xkFODO<ER<Y;a4U#JiQ~gq=&gz_LNz-qJ&xLlf|5#lFSS{?qK-pmN3VYJQ$T>
zTju9!17<)|h1p^y#dIeMF<CgtG1VC5ggyAi84n)jNR)r$wBGv3snwa_xNa9<zVeGP
z3-8G=0vRgI=OSHZ$v-n@EZ31KD{^PP+XXNw3&R*omu(CapTJaXI?Akz&t$GQUS>$b
zT_);oH4~E7%B=A0XSDwE5tmUZ(qy7R7T+=@qxYQ2iRC_otzAxznr$Nrfd`0;(@9dj
z=mL5E>;{=u2!#A=BwOG05{~Z#iOUtI+3m{o4r@SDY;EYcFo#~{_oath7Sq+HYv}RB
zZM17s91SZ?pdWu9q<M9RX@OJ{ZOA%A)%PY+i&J~)xqxkS@wEtQVHHGO*Sb^uWX(G+
zrA<vQOVIpf-^e?udNN*7O#Ul6PC|Ou5#ec0M9ET|gj=%=JY37X6MoF;zIMIBYXv_$
z*cZl{hi9>B7ay_H7k*-WrG>zpqX@x!^}$}+8nkrXpyAUjcyW3G6a|LE;aQttVa9);
zWOo3ZR;57lk2HAk<s9q}%!fCw*CD0wE)?Vexbk`s{{}Wgv*btcS}+Lprhh<th7b;E
zO5!&|1$;6~9ar-DzT1!U`au({@U5jIRzyw5(*_iW488DcfDisVG#3Z1%)?U`{CV{S
ze{5>;!wh9#w3sprKdH<_LD?DDYdsAOa;<Rnabw(Pq=T1|l~Jmfca~<c5U=*~8>WtZ
zg0dT}P&B(19=?4DN;_}DQoT#i*p><5`6nP_XA&Ip-4E*aF)(p?BW(B(0SZr-!>rlC
zaCL4F9DWo4(=z?R`;kAC*v*Ic?}C5}!BEt+95yRQfXTr~P&3^Qr~mDNu%tw|QJM_S
z2T#CnfwN#{a}oY2T!ny}x4~A53!BZJf~fdwSb60GWC{;KywW5zbqS*mua{OZR2dD!
zwQ<LGBmA+;64QemF{j-PU3+KZU2h*WYvkD>I0#piEJC6Ci}7605)|LQ822eILPNJe
zydmg^Mn}AnJHenwk`ubFvO@W4L%iInfipkKq2`zf)}I`Qk*-hhpGq^x&3g>qm+!!s
z)n&Lha295Er^1MI0*F>^h2Se;;CFLA@RfVQfvc_{6KV^U6=tyV@)T$g(1nmPO_02;
z4%gnR!I-T&oX*q$5qWJWI;sa(WR0NZq&Zwsw*{3#XV~XK;q)&buzkJ&T<XJMqwFTI
z%H9K7j}O9y?Z=?9Hv<%m^5B+pF*KPy0QG;>(D3jT2t{;3;J5Ga`Z_;`&X&M(jv^}k
zr-cW<7~#6L*4WwTjF10Nw7KDf7jN_WDxULf@n8i?dPLwFhc)ODz80_DT7!C8t1#|z
zC=P5|f}<DaV<4|y*J;Y2qnHCm2b*HvaxHwZKn_iJ3ZcZiZy@)m9R`}Jp>5i2xGH!N
zzIz@A=YRV^dH!ms-#C}oPwE7Lo2P)VkOFj72*804U)h28P3&SLV5L{wV8uNyvI)me
zvqqvRtjd-|_R;h`?BVL|><gDota0!LwsJ6%t$nqTee`t;%cl{;%9`(EeP<tF?IMq`
zZD}Xjx3!t<OwD}uKw2@I<oSTT>Ggyixbd3(kln-nvH8U|cnQPQL0K5e*MwUMrr>pH
z8k8A(ftSf5aH&}bc@}Z7+btPv)}4W&;yhk0>=umGB0T0cLcd@SxM%-{INq6@fmibQ
zZHG3lNijpG5l6iHpF1Xg^20fwmtdXIYP|2Z8P`_DV9|oTxc_N9vKjj^jBh`RecOxo
zm1EI7e-q{puEfG+3$Z%P8)LRR;WQBw+_Xmp@7juBcT+z^m(@Y-@>_6xBppso-3uF!
z&Ig5mX0Rkk7&NZduyMOm*^?5sY&x6Ig%mlrezh#lu%QAokvosMT%EwgZ^&l24tJPs
zho3R0Yu+=b{eCj3cZEnqnGD(gQjLV_O(B_2EQxowGx16DAg6}?$zs(IGTmSUSvqw$
zu_`z~4CfssSF+LxlgZ<l^RJN~b@zywY86SeX&{VtCrNG}AX_3PiQj7xy3?1JTZ*Ys
zwV!&l{FfPpAv-#HXF3(u_Mo%A&!G$c&8IF>i|OKz%W3_*Fgj|!l2$KRNsmAnJsTN9
z%hoKWmapg2#1B3+qKeXw<xaFj%#s#-)u(mYD%3q#l2**(qdimm$k&I>#A@p!;>63J
z%*rp2YwJ&t=GX)>{AeRNWVMKFSDHy00&Gb$t4|J1QzDb8V&pAnl6iHcpQ)>O$GDwt
zVv<{HnI%D0%;|QP3H7dEenmfI_Rgzdo|UtV;k8GMw8~RPdZeC-^K4}zWIi&p77Z}^
zmg7v0zYxiekRq`wlnM3MB|5Xr$^0eL$keQv<cHyW(jXm9GPi6a9@7%Y=hRekur7m?
zid-U|9=FJ`G$65m>xuV~_e5*@ccPRiKp$<9qHEr$(6R!3Dpp}ZWk#KNn%YddP{5Dc
z2L)476GpE~tf$4*o2kvU9n>Q_hVJ?nLuc~uq>*`BsmQlTdR}WK?cEqmOQ!o$)gBIo
zS{tf7+km#*R-{gW!nCexkZ^Tg@#<v{$e-9e;sB}ST>duFzi1x$vB!#3^~sTz)_%q*
zse+-AY0SgFOPM`K)tN*36`b-YQ%-2%>4$AAT)ENJh1{2W2DqDiRoI6)_N*_N$F9G+
zjwOZhth3)yHs*IG8}<4!OXcsdo0}`yb$$)3M(%qyc6^wPC;Xs#QvwD*D8bu)U8wpz
z748i>gSfgkEKOJlM}5}7g_KyBR(cS!<4%CGV>aaXUIDv{_n>TZHB1j_hX0~ILGXn!
zh}<E9Te9UaoOh1zft4{%uCT>(7u}HIdSl~``MfhR%dr07D$I4+h~M0|q0GXaXyy=$
zTW-Z*Eq4db58sTYxEA-TuE2y+UT@hCFXWr%f)VZJxOavYzAlnRv8KPk26q9+^(kDv
zc@u7Ro`ts7M7Ta<CF}?wQ2bO6)<p|J4yT!wkh#JZwC`g-`nj?v>wj{O>mA_ws3ufY
zR&>qK<@N8h9Bt&xy&%D8Z8Bp_XL>P>IbqDJ$=!@!Z!+`hemXOBC7;>SUBXzLW|_3!
z7mSZU2Xj|`fZ50S%N$-TM)uBCAQkf3q`tzGEMM<PJZ)!^e9QTyd3QJocG*s5S0)e+
z=O_`qaF%dKFOj4Ex5?yvBtP96$f?c`q%ijf8Da!!oxL>m$x)@JHX6`X@s_mywlj@v
znn~63{b+t?Fimv|r>?>4Y5c%ux~gyo-R&7et<z%Y-{@%iV0a7l)QqIZ&BLkPnng6w
zbPjEMK7-bmTGQg``c$h_f$Fc~@m2W&VwKTI1aj_^Hve2Q>v0MZ65C2#<@|`?K}#aW
zkt1Ou{mg!c3ML^bjTx6(&h#(UWa88-IX3ScIDD3I<?iuj-0h2UxU5zexA(FfyD!<2
zm3TOd^|%+#>J02=#aAY?4;#*~n>XjNh3jv!Grv}_a%#`nP_1@0S+|dk@|j?_trP|A
zP<eQ0s|8<%OkneE2Uv5)9o$L-pvWv7E-P*4_4*`0&B~)N`_ow%U0DG1^KJOLuMz~D
z8=+XS3r;Kjgn#NnSZgDL+dvH$-JXJSeO5>rS7iV5#O15}vGC>+d?Ou!E+!jrxL_-a
z&e(|(1+lofBo>>!cB0O@t=Ks&690Y*!>*czDDL2c{mE|VZ*7IA_UPh&ygu$T3k6WN
z@-rBk)Io#B9ngQA4N}t&!&AX^;9}$niT4e`>ZB<A9c*LGgRimCo%`7c5jVC><|jA&
z%sy`SR<DYu!eX4iG3gvZ`7RE>vJzt>=)k=14Pb71M=|CNiOiV8Nd^*gnA6{{F|V#a
zU><kXFmBMo*hPI}0@Qvp+z}y?e^7=vwW^VHK11Fab{jG=Z3bB!Gl%&8T0$1Rj3nRn
z;z*ug66tuEMy4LhA%hOrh}Wn4WcHOB@@s!98Ql4WygKlQI0T5&qGj^5^OYuTxoAwA
zb8YF;>u&T&iZ`9dKcB99w3KoaBIx)~B;9#$3)MNXgJ#p6)aYU~eUh_{-tms2Umvcf
zzOKvZ9jW>BZi*-6S97LblIGOBf~T|WlBU<h{}CI#ZnE-lEm^zk7Aa8ABA<31A{w^q
zh}$PGBJ<6JNa#zE%>BL0OUnn$c+E*htz-ogQLWGXt$)q&=v>QrxgcuBzGQC2vOVj$
z8S_iIHzWtS7rFB6ng(;$p~Ridf3ldhi{8xQkp$MC?-;9(ne4BT0`?f*X3cz&m3mOm
z^4WH>)h$D;`~OjN-tkzzUmUl}mOUG0L`E4&Joh=s4jI{$$|$2DEftciN?MeLG`^)0
zsU)8JT+!a8l=d#|C7Qqc_lFlRe?7)?-Pbwi{du3a611sKfj+rwQS~`P@(;Hr3+Zvx
z^WK-Pj*h0HPcuo@dztVoFCopE4Kzn{CnavEC)3elTGe}*&h<Q`(`rIy++K>^%}`=h
z);g>p#+ZrjSu^DoW7!R}@oe4FU?x32hIyGyXFjLX+3xdM?DxHeOuaFOz13X8nqMwr
zJBDYo%Fh|hEO$DKHi~Ay>?g3!p`36Jv}3Eagq++xHTL|u6ia>hni7LA)6gkL2wk?2
z^XCG(p*4lF{*I%i3-swzZ6AMi+bMoXLIq!PB9IRpBE`36&KE<-?34SFCy74BUKYig
zX>cdcj^pftrf`1t`CRF(3a<6`POfcXBe(lE<Caui=YAJH;hg(FbCzo*p}a}~?pSNW
zm+3>{Yt#tvHg<&jT?nu~2pVR`gKlXCeEGEu6lN7e-M)2@-@FaV_w5&I_T%s*;WR9A
z>I7-k=g`yh4dx{Xecd)C#C&axt1`s0SC(kx>xkuRIgBgy#rD1s^xF`F^L3|U@z_)x
z-jt3d6J}w}-B}pTWn#hNnRujTI!fM)!&`}A=$P+|fhBJE?TQ^9t}(%@6SQ%=mOM60
z=>y}+NAOea9F+WRfXR!u!jFw5@OaN0hzkjY>FQ%3Ks*GThRecJtC!s3L#H^~<XTSe
z?Mm+9o&@g55=U;^E>+I%<zvyW>i<Nodox5SI=Z4Ui#EB@l7Hj&%@1h{ICi_OZ0Zp4
zZ{A-#Gk(7KMoGDNcIPf})r)3vfZAno;qE8m9q)R@!J7v1W24mhRgZ@9GXh8Qx))ve
z@*F>2p)7_kGRqKnk39ZWOc{S>RVDBAX*Zv<tBF^=+QEO=besQb*~5=+{>Kk*QKW=R
zx}-kZoE((}7A)U~R8GXuweDGTUcP`L&y|x3ZKGwfhv?Z6F`eqVMmBlRDeHJY>A1?V
z+fkY<-qeWwSZ2e*JzUvDM?c0XMzWNY=`7*VY}WEUhlOh`XXd$utYCQ&+yAYI>7QK5
zBs&Y3NocOX;$|_W^dxr0W)fSl$&(#+7|j+H37KtaWmYcHOZQ7}(rbZ%nnvr%W5aBE
zkR&3PCxfVC??pbQXBj`q=#yB&^4hriQ4d4|{ern1mGzwGv6I|xdc<9wDgkx}2SM%M
zA)va!3gZ8Bh6^*tgO5rGylRODyQ-P6?D7Km&viMp#gzzr>00P(u7anEJ0b1femH2?
z1cn-7h%Pz@hu7T%-tiGUoB0+hZTsL^ixf(1lE)W2RPp_J9qjlw6rDy6#}SUgbM&`8
z4o!5y8U(D)9*-;T`{D(mUwE=92(v#1;~wGT<$)k9x0ryR(|wVx^+d@A5r%&pgL3oi
z@RKkbO_nmmMF~2XUZ;Y!@&obOs9#|JvIm@^?}5glOW@cqhLQe_(0*VK=o?i->z)eO
z<y-<LSMy;qTL2EH)4^rkG&rgm2TSZDpsG6rntFp^es&<7_6vj;NkLFW6Tu`n9K2Mc
z!TE0jl<FnJplO*<|6~CeUdn^ovn%0F@@ilW8{p{vtuQQd57_ecu;BR#Sah)i)U&U_
z&1d&Pq}BtEdVdIgeQB(?tANiBsiV^oeH?Jz7`xvK@57$a7+m9mvwIMYt9;O4nZS2s
zgyKn;2n-TO;pFaU+_fkgUu=xTulC`%YiclF^6<m>-|qOL)dhE*7=?`%7D5koC^p+_
zVvM;0c2AJN>qYM&-v1tGDqR5O*C#;p%YHC$*a|I&%VGDl6(Cuj4R+h7!R32l&};4u
z)2EGt9kWM4kKG99FEEDukRh-&R}TjEYlGi^TF|{j3$)X;!8b)0w$3mB<&0qvJj)c?
zXA5`wd81%*?pQdq*&ST31c0S^Bvc%k29uW0fiE|6;j3OT%pOt!5wEvEQo$Z*|JeYU
zp<<|9e-Xs&E;Mw%hKTMysOgqL)dR{Xc~cuFjx)rh3nQ>N-X7OnamD^O<FRpJAXeZc
zY?F$^8%q=M!r~;fI+ub5Tq<6<n2e`qPQy~$1Z*7}i7Q)!@aOmOxZ7$R8tk#f>jzA*
zIbR1)OjX2?f&ain`!!5<z5!pW+u+mG{ZPNX5)>kez+%u`@C%BB)L?*z?<~RKrw-ir
zlZD$;K69UbcX3`Sr?_ma=W@NbbF;hFa;=97xmM%FT<y9v?)=0l+*gGtE^9$3mmeR@
z6_*Bad0oL=fJqoPEHa9dN}kNc_@r{>zvglY9=RMYUdg>Zw1$&@Tgk<6wcKy<A#Pmm
zNv^B<JU4XoT~1?454SV$5BEw<9zGXpLeMZHu<Eq|nGqt`+Z70Urc+?b=y{;Ceg&9p
zTnpWe+raP70dQK`3cnIAgZ8>dFn;(~Sg$C9jsj0K>Xkm$o0;SN)Ap!W1-L440+!s4
z!m(SX<3RseXt{79+QjDKzU%p@`*k_C)h@@<t~`7_Lf{qN%*Dl`6x>r0jWKclxKn=|
zdbwNTP}IW%S#tPh;wMNJYF*ZK1T>aZ3U{HUu--Ws%tj0c4?_v~a{44!RF}gk)v0jq
z#-l`8|7^q?BEO5h>XA3-&E+dxw(*ZmPw?BUZtzL1Z+P>e667PJNIOnykz$%5ZFR8{
z94}7vss+jZzywMg7fsI#lId0LJenCL@Y~Z%Xt&fla&xUF>mhq+Z2e(s{dtl`4LnDi
zZwdTy>Ql<%KT+V7fAqXvmVN6P#3U!^veUPOjHtk3Klw0<t#@%@gG}9-dyX&DRtsji
z_2F#r@Mvb~6UX*_if5t$32fzpI9B8z&Hk(kXG`OPSlKh7jtb$}>t~Ma&vh$-?=xZt
z4`?%IX(bl8Qj%qy6g(E*_o(*qIjY@#oDA#sQsJ*k(yuBd`+rL**I&4|{t2h7@1A6*
z?nGa0N06%3P}=ucld^4<X=2|%+A&m$MyUPa4~Y7B^KIXGWtH!I*PLGd)v<m)=E7fo
z?sX};JVcff{gmiIlsZLE)T0PzBigQONiKiwDf)+q#%uc1*yKp^l1U~#$@vuHQb46A
zS5dHPC5b(2DRf#rB`j<u_p%F=z4I<jZF@tX@BE|>Sp(Ut_k-A;vwH0OTNCE%YQyR(
zoY@-Qo!u%4U}a6=>|t*l(~_Ug_SVi|>MJss%KTYuPUtMABbUMSt5TV|(Ns44YBZbl
zESN3ZH=cFP9m^^<jAY~Ehp`ZCA?N*DhDnutB6q>zwAPAI(9SxNIJAi*qgGI+XDV6!
z^P?8BCF6J<vfCp`qI388Iqfa{+w0YQQb|4^ry9Xm-Lc`9wkq;zqq@Zv^}EDN&(0LT
zKddKiZr|CKmQ~WKUpLIHPw}{$=2iuf?MNrl46Ou_r}}cy82ODNyN>@vg=<fW8e6W2
zcCL6T>UaDh8oF{Ix6neJyR%~`r>ilN+gt0x$u9Kc!dqjwOH~=%-W_>d&et;T?vyI-
zg~DF$n(8smsOpTs>)zo$-F?R$ULXlCcPT^IAOncHGXgYBTp&>^06M!8V9thlP}f!n
zf9|aV1Gk-U|3?F48MVW&i?<+GrUweH{ezSZig@Xt4oYg8;l{?%xb7g}xHH1}R~L&O
zKU1+nl#NSsa`EMj0&IM?5{(xY<BGImG_G5T%3}*~R^n1jT`?Q8BNFj((nM7E=5W!9
zk!W9|hqnjFVy1cz^xi%TiyQVrWLGi#WU;_+w}i(*KRI*v|G0k=ZrtO(L{Zb_Y_a&F
zIe&B6a=twFkbtz_;xDZ1;~R^Vg#NMtNxT|C9!tj1tDT-CRWgy1Cdbo&;F%P-Yyt6d
z%V~~=kX6c9OGV~YwArtQwm#iQfBPD#Y(p!F#AoQf;7Hg^_i1z0Yl`~)jS4?Xumx4J
z?80mnrZ-cIm1YfQ+ZUR!A&HjEO??y_Fmnw1<LAaku5o8+n%+#}gddBJpTIu$1hTjO
zL98k}kVU2ju<usBY{pej_9KmByy;l>&tNngyjaMP&opLxwe{J%ooZ~LgFKu1MuHtb
z`I&Tsp3=Sgo8;Pen%23Tpy2$2By(#grQ280oXzE=BvULf^7*8_Xd&r-&ZKw4QYioP
z6xu&Ajy70FlS@`4ZPAXT@3K+!$SsD#4#(5+sHt?uDV2)6X3@x!1vE!0kM6|@J)7t<
z+W)(P(tI}4D)*h#_;Ejt3~Qp*bH(Hwe4ftsbW#dFA)TNPL<+yj%zgknzekBRglMvH
zW`o%zIa4<7i4~h%ZqJ%OyRb<QkS((CVZ-)LV7=BM?AZEn!3Pn+?k<gF`)^0E2QA^O
zaC8V0?pf@-y*J~ffNgs_h9wx<vRJ_n@?`8_HZoV8y}K^Q3jg~{8v@=@FYBgGn+ueC
zsD<i64$vvn?G$dlj?yEFs3v9!A*9hhk2uov3#KBc@x<PaBcBNlBnvjwwSNRX%pOkH
z)|k@Z=O*-TnklUvIGj%L78F=AlIjyjk%G?{(sC8iKX)&hI5mi_?vA1fTGMHTcs6y{
zFQej|m9+HM8e00clE$6gNs6-%Qs$>-DiFL2euX#aT+L$|u;n9lrT(M#f3j@PPF0p7
zxIqH<8?%%LR&1z@BUAnE#xirg*w<NstV}qsFKvlo@>3_XAN5n&tjOu?i)cEV9zK;d
zZ%beXw$ZG`GL(&O_hV`f$nJ=p*uOniEY`-5IaO#fQ+at-w)_{Rb-bXFs@G{)MH{&!
z*OBy&&9u(Flx(UNQPhknr1ij$-d=H{kGf{mu~v)543eXPSNr(#=g;{Z^-g}e+8Mri
zdke3c-@s2@zMq$zx0_#Rvy)F<wS)JVw}Y3zTEi<B@8S<^{Et`vbdZ;+XyO}|wDPN(
zPxFoe*Z3H(`+RHj8-B=%KK{SMGPL!TGR;xfC3jB~f(lz|(QqThr~Xu=8%yDx>7=$f
zm!4Ub(#`sf^wqJJYAzq9GX*@|Ou9-riyxEj=`R#IOq#W(DKj@WUAAkn30p63%SH%!
z(a+PoSZUit=9v@Aqym!I>FXJSYiJ(3v|$lD;jn~-MJ-{TuNSe6&*m}znHlVC%QRMG
z62)`|1~6YCv-PIShE<jiW0C%<?Ak<079oB?*>HhAq#P#0gi2cGluu>PW9YZq7z((m
zMNQW~@{c`Q_(!u!_@~=AzHibi@u%mU`2Hzxx88^qqW8aFiUwaA#?6oO;Y!}7b7AF0
z+}VICE@JLJ?vmFD&Sk)PuJ!dD&c@;m_vA-EXL5P~jF%e(n;+;xP@D;z+-?J_+gzak
zsyCee6b=b4)8W$DdEn8#9EPl31tXO!fu_|$NKHL_zuXF&zg_@C-EOdU>w(kpzu<cF
zK&-P<#UZl#c*x8YA;Sj!TbyxDw>vg$48ZXEaQyf%4kI5-LpF5=E+3VF?rO7;9%SOa
z73s(;r=rB#L~Ig8<FQG>xZHF+w)Z=u^oWsYCOHfro>#-^Oa>P@eS)X|x<Jc-fpkM1
zyuG^#6n3l-o((g=?7cr+xMK&`t94<voHQK1@`x*w6?37%JGgp*O5Oe@o^u#7hC838
z$@!<h6LnlZE{gt8EHXafA&UF?(=DuQsoS^DO0Is_4ckh-|JSDewZARD)L7i|ZM?YS
zMY4F-vI6n^H|xb(^LC445|4=&emE<B7}hO@YwyKZCP?xd7Ao<3N_6?w8Z&;~6MH^B
z(}Rb(Vf+={WPa_M#r(Me#r)UA4g8_MJNbfN4Se3RQ+!cVCtrW=HNXACU%vN{A{`l_
zM@@1TBr(gG3JU#5B0HY0&B&q--$EKzzK%{A?xa+WMjE-aoqo@~P1RCwNwQLc<u6uZ
zdyVv1Xtt2&j&xvtRqo88H<<m?Phju1r!hCBg{=C09<y>UWX2xF?D~lkc6M0_yDQYz
zotFyO!Y@mi?Sk3t<)JBTnN={GQs~Bp2V1fjdBL4EM20!HKcg~pMw+cVXnR9G#W)8N
z_r-vmZ{Ft@wUzLH21xO_0dlTuK7JBq=O%J~_jhn`?jq-N<O?TZqzHEk4M5?BC7kjY
z3nz5EA+I0|UY(o*A#XFl)HMg>dJ5oJPboCot^=*Jn<2k#Cm0W{gLPkyz$y1OXx2On
z;c3_5o8Nu-edrZTUH26RfBXkr^gs-Kt%S2SXrM-jJ|-&~p;MhX%IVtRVn+w;dOj9E
z4&cyxfd^&}_QsZ5zPP^BAET@SFi&8StEK#~eVjMuCVHSnnFvpII^)#1(a8H*;m~#y
z?0RQ_*WPJh@C!vW{Vt7`8GYch{0(RY-h(SWm%%uLfz->RP!e4y%(ZGD*S!j&8`eUU
zRw*1!S^+z&b76bTLO5hJ7fcprKx^<!sH;qc=kBQx;V}bL%hSNmXco-*oCU-FEP^FQ
zd2oHo3gDpxJZKF_Jlg=82ZWyF&|UCGbO3w@9fisYF(h0#2UW*zf=T!zP^@_i*VgvI
zcx7o^p{an`A!?X-To(`78e&zgIa>a(!AJ!sTzSG36CS#w!bBgu{U!j1FAv5Izd~@R
za~P@*55vu^Az1V0|Fxk%o@(_%g*kv9T*qRx?<hQc+5%TT9)`!xXd~4q3-4(ed{XiQ
zo|nHAIGfv$;cyl#<xW7?mpWMgYdah^*#NhbOTmccgGE3#ywFaCx98*Ff`1s8Ef0W&
z5nj;PfUq-11QU0=!WaWrm~zb(@=u81_hp28vR-gzsy}>qJQ2R;M!{+CL|8g54IHM;
zhbJ%cpj})9vL59Sxv&yeq||_eP8}>QJqlSD2v&Dpg5D!{;kdvrc3k-mpO#4B(NqOg
z+@_8<<PGrtMiZPXoGXSq9Ps2#SNyig6JuNbaga&~eu;{}xtTGz*(4rK!xGT9CmuWR
z$0Cf1!unsK*bp}X<qO8+iCR~z?;VX<%@$~DG89LpYvAy+a`@@!Zz$gQTKL=F0{ftL
z7?#!uMOSu$;nMZ+VbMysy<|RoTbc;*4}ze30SDV`M!~Iap-&#A58sQ_V79jcoXnPi
zhu{Bk3fcYKYy8eFvH!|FwfxH2s(k07&i8Qx0{?RL=cVA2P<vO^DZ%d#>TpM2AH2pG
z!`?tE*qH7JH+KTq{0o5O4bdRCC>8A57lLue3h0=%1}=TAg3zelLJz0`ocqMk=y4ge
z*58MZZ{ERg?k^no6gbx|f$=<NfKvpvwLiuV@t6y~zVC@|HU#3n?GZTSNCL{POhUKL
znYceX6N_F7399f}xTi8551vTDn64@K)HDhgya+_IWDgwu#|a+^Ow#*9gVAg9AiU=<
zg=4+n!r8$$L3v^;w9D@WQS3Sx8Jq`29aA7z*%L-YjDTHPYVb0tkCSh`!OdRWz}<3Q
z&qZm^<7x)`aQf#AIm4U3MGicPCR>+@l1yAhdtcvjYf4daODTQT+Ng7|t>V3c*w<#9
zxW^|&%&#dHXK>rZ>T4UtQuoe?U!~s@TW$O#-XAE<?|z}epSCyPE#oZs=Y>xE(ysA*
z+5AboeMJg?B0Psz_*umB*Vpq!!X2bR<1k;zcwS24IzPAn8DDh2k2m`uOIWE%5~aqJ
z`f3!7zV1%V8R7Kcbt+AE%%$q`GLjy$nF2rmNA@Ns$o|X)`u*ks`BZ)(tyCEn>7~l%
z+#bv}OIkAj+A-|K%JHmYMkovTK3S+I)7gknVHQ-G$BNTdFqgM0*|+CK?3_yxTlRDX
zoAx@7?YzH$MF-Dh!w$wU!#qE>HO86!IAzART5B-rzY;7*>JfQ8YNI6&w$UH+e9GDu
zL^rk$qtbxaJbbO<S6Q0#SFBCN-e=Z`BGs)qi66_k3q1!org($1{PC5$zFi*XJL!V%
zUo)_^vxhm70CqbA;Fu^14*i=BOBLqAMaYF%_mxmlxf&h>Z-kur+hDHFUYPB27`6+2
zw&@lfFzD|UNSfIV7MU+0OXe#mt4ZL8`vdXLJ!M=fp@l!k4#rh;O|WpiCC2BDLRB4S
zJntyNH^)72`T`%!2o1nU3!w*kFBs=XPQ=d@!sntuECzqfxa5U?UWheUg`VLWd(=N{
zg`ROH_>t-3&4B_-I#C|WnFLzC{sgN39>dAE*WtyvcKGw3z>#j+5Bn;&L(;(wu<Cjl
zjQd*vSHp6^ebX$6J(vV0x$*G6F9MXLLLp>j5M*UffM8*AJv3~Bz?=oaEvFDTFmDq0
zK8+E$<3!klGa$=(F5H>61fKk#y>Bal(XDHNORj>#jv82WcR!fcHNjCg9wgUafLDiZ
zLq*v$*kk?~{ImbT8V6Za_^yHn-)p0(;xObK&9NcS7L^>wpe_?(_1W>bOFsaEN`?CM
zT{uQ)M4|J;Xw<Wh!L!oQ_%tvACmIUpRrv(G+3tlIFGUz*<%Bx~=DzBiF%~@2#iG+H
zIO((u9#rXt`jBT3u;MzrI!AEdp#eVJ-U%0*HbC*^VlZ`D3Z27eLUpJxzuWE)_j^PT
ztnC1!q^!WA+ywrs9Ri8Qda&-B7KjFDf~UI%%&*pfDp@TES)>EQKj=e3!Z7H&WD2Fu
zR$#wpG%OlC4qSG5LcWjiyVQ<>!9!9&l%5U6O3R_YsuaGzUJvV}w?p;UeV~2nDD2NZ
z1+TQPLG<p2FxT({jLZ8AJ@;kt&0SS=GuOw0LngQ;#2T-Ea6-!nK*vad8Eu}3VPm5(
zXG;P$?U;t=R8z37Efr_2OvU7cWPIs66;tBl@b~F(bZZVkxB2ea=QjqsbFA=U=rB}L
z(?IzT1JTu~7Xp?(g7lB)Vat)DQ2t^k{H<6Ecf@%haW)C6-UPtLc1I{4X#~H2sKCz;
zf4Dh)Pq^8K&vWa=O<dU3o!pD{>x3CsA-8$L0&e`rBra1aid*Fy$Vo(aacKhHFMHpO
zd-}$ebNlMXJ--Xw#+Bo_g7^O11L-hs_W3w2$s?7MT9VD3ZqMiR+)6o(6YIG^-|bwk
zR2^6O`#AR`<P2wHdYe;P_lo;|`X_hht1Kj~(}0~ZhESDa16S|3fz{<exR){ojIYmw
z#oC21CZqyB)Nco0k3&#CR17&2uR`6cC$Qt?cc|Sx0B1|9;n_cf(JW^K&Wd(Ib>SQ@
znG%d|`(sgjJw@m<&qbf|9Q<}64{J0F@bs?&OqpJQi9Y#wF>VP~&YX*t8p-H*MqmOY
ze9_O{8DGhm<JhBGm|ib~+ZVkCHu5|~oT>wUMmfA#kOBAS0u&t37G?!cxG!?sxV$Ou
zT<4qpqVj>z#;-pkzII>~A0NMfuXeBIt2dwEHy-cgvs6FuOXQ_#M1=}HxTZ(7LOwZM
z&yJ*LjiX>4Z@Od~N_Z!MK3k{LnSjM~!h8iCH(y2BjT<QV<~C|x{~z`KYowcl#boyR
zJaK{>!u`TC3b^>0+}$Kt@pD<W^qSBU{i4JC90gZoo&`&2wqtXTIWzxIU>S+tths3d
z^VJV!Z>B}CGc%%@uY4?PF^^?aPDHa?;s_S%70Uk1n81dI3SJ^>5qoOu$U4idn0Ap7
z%ktA<PIAiZ%3CSsH2MoojebN5OD<DeODoBZI7lCb*SMTtOVi%0pp^C5)O2tvjh7Ck
zq-;;x^KuLs+gsDhai-M$crd9C)S=vRbsC&9h#KcB)1L!M)Yzv)3j<Z?)h<<<`CUWk
z1M8C4f+3_>XF`>CEGb#mo_xTSd{=u>)!&IUZAU!)SCB@3+7{DryFzk?HFQ_6iq@a4
zrL@p`3O#d@7Mq_JYUD1#m+_L`{p=-WB^l-}qs#_IYO{G?hq2z1BiOPv_RP}LjdA~Z
zv8VY#ta3vHtKSySDq^RxM{85q1NoWkdG$=D<1m9gyO_joXH8*;LZaE>s)?+n#G6%S
zxH6};c7jVsaFjOdFnLsDvvmK`%9589WpIs_{%RpP|Gm_1uz|MDEue2(XHd)dAll#N
zL>><e$x8V7yN~tpD;m4`7rDeYb?oCq%r^3ZIF(=hA)TLB7tW84K>oopJ08fGcjk5Y
z0k(q#|AHJJ5ii4!Z<6FE?UCS}G$r|p=Tdy3%s}2SS%L4BQRT1R)8=D84CM!STJV=%
zkLI1<i};wN0RBmO4DV>1#@Fvz%D-P*%s+Xyp0}J@!@nF^&u^L{=BJxo<x_V&;lKU;
z&VO_sNYgi|le4oSO&@1VmF*l^^-iRLzot{d@5O>6uY{h3Y$CbN-4t-(DCK@ULjw-o
zr5j(~)11eWOs+_oRX*2a4;~L^OJW=ZKe0PA_#MQauZd%IIWySrplnv<mCH6n7cdu#
zl>!%7#Nx*kv6o(j>|0|#%d%U{$^tT&xnly;o)^e|Zgyo4Z7kXH{W@$<)&Qm~enrL;
z&X8Kq9#T46OkUsP1gC>FH6N0o$-xc$u;vhc<J4O5yUDVmzoGJ6<H#f~=Sekp^~fpC
zZsZHDG*b$OTB$*z+%UL=BSA)aEO1-KL#<v2>~DyNWyLcgykh}G;&PZUy98eTTMG~S
ztDs}XPIwzz2Y9y$v|fqfV(EEUaG?{X)joy=8t-9)#!q;6Q5sXuDq!p<HH;mjhvvnG
zIRA<{O1!fXas-Yz(#{pz2f1UlP}_yA_QyNV1967oMBHi-g1Ya8dqYw%rdCbBziWN5
zE!h))j1}Q*n=$C0De(6e<`}(lD3%N7)XQ!qtkjo5x#2(Ha?4BL4Z2`v@;N9t(gJUl
z4?*XWo$yAc5>j@o1~b1xc>iSyNczl%b2&*+voH?64W9&G(u2W#YyiB?@`a{BJ`niR
z8~&O5Le*-2$QvF6bv>a_d?yO}K28Qh`&0-Pn1CBWOW^L70^sdSp+Bnve5P-P^$NAH
zeZ~RURdNho33cai{mbyR>@K|TcnJ?reuL;ElIR#MkLg}&cs^MV6ZaXR%jXgJci3n&
zP;<f2TM!4V^}$c40`Z+h7)lR`M1v2}cp)SfKibFQu|nbN2@$xsDg^Hq2H+jH@!0yo
z6^C54$2;1V=<;V6ZaJofMROE!RkS4Pn|uWO<oghL-~t4ywZMS=`(apKH562>ftMeb
zLwMgDh@3td_9_H}!g++V%N*gcvK1(W8p9$x1BfZsf<O;7sPR&PrAw7S>aHSqcq>6b
zn=)vOR)wVP8qg)F3;QC6z_HyX5c}Q|raRfghhkR<`sxLLmW99!E&)2-(?NA>4h(B3
zgr=Ko;4f7PIq+Su$m}p|u5Sh95f{L1;~nVw@d}m;4gn{U!E+tT_`^g8BhDM*fhtRM
zn&W`J79yNl?2T_@g7NI+NPG~UfJ^(QVTnpA{+K)y9WTtp+YU4E+qNWpp+5x;t_U3J
zhhW^-=7rTO#^KTmTkN$l!G$}78rf8+!yo^G7tzlFe_n>#_szhE?iTuG>)__0d|2R<
z3=2#Gpz)GD+|?fne;+A8Mb}p@P5(A`&%Bi@*}0qR8CAhqEYIUstV`l{EDPj}16;V>
zD@SlimkqeR9je^dVRBq_wIt^$`BNk__M51E&1X??$7hjK?Ke^7fS)4$*Am?L{sEk(
zy%MLgNrM}2HJBUy(~PT8AH^MB>Bc>r<<AZ8iRNrH)3^f7Wx{;6gqyf)1GjkgPVQX!
zVNS-BxaQ#N+<bV>SsL|o_3Cm0Bd7^2ZN{KDd^E@m^8n+k;gFRu1NJV-g{QB|Aa%uN
z&`9402b)end*(&>eefZCS@0E_U(2BEZB;DI9)i6MmZ&_{8GXaO@U43oYIaV+rQ0)b
ziS;6U`Zo^;oLhlQ#uTCY&|+K_SA_I#1=`=uL#?s}c=Fl|%#e=3x+A_AJ$nqkJ7tRL
zLj`W&;y>^|e;@AeJ_)A#t6}xuWss5L4`+nF)69g&LJzcp3!0$InM&VsTX3yTyq<UA
z!}gW%*K&{Wn^xW7-=_WKci&MWv)KleEE+-W3!Ug(ga>Vr3l>=WSSnkSN|8sh>5p+f
zEwnEdW-{fpGqIAkY~De>0sBZPuaO#{m2B6Zp$Wp=#_98Y`u6WN-K_pj_u?g4{RlZ0
zVmgSu1a0;?eF!t(Xvz|HSh1s-qgn4WXBO2hV&yiT%)Zr!&72&-ZvP5ov$KNP<l{mw
zt|f?_%n_UnvVN>IeLTBxo?}U(v8?dRDCVzf$<CcJVrC9{OuI~#9rz&22LJd=dRsn_
z^7n^iWPXj-_?@EFvyM_+?LLZqwT%p2H_)Q3Wi(A@1?{<-Lk}0trl@bpRAn}qR`x}a
zPGmTpu?wO8S;54~2h-Ab!K9)ZO6@Zz(fj^r!4EZ=<Z6>CTbxN+$_r`ug*@7NaHZht
zTTN%DZ=j`~TWR<0-4tR}Px2#9kk4nKSGo8q-8*-Wc6Podm&#sxuw05Ak`tU<SJaqP
zhaPjfWyA)&9>KOg7{y#G#<C+1fQ7C1X48u%F!iz!c6RP0c3C%yeT|7`pUtD0$J|Kf
zfZ^<CO)$IG;Kv*`d9Zo8<5<s*(M-c;1bZJlj5Q``v7yrxnR|sKyQuSt4hXJYhqagJ
zazZODi9AT5h1&&(Wd-rYD`{cfBFZUCq4erVG8Vi}k8X%))kz0xh#E<j<z_@4hO|0n
zFnKXOnmk39##rf+vYH+#%NdY|+)ye~GN!re=H#w#O{a!CkdvD$anr|B%YQ*sqY*<-
zk0g^-)jXOsBcG<WmQe7eb#%3MD@6tTM{QS*P{nAX<-(nBLE}9txz<A$t_$<!&H>DJ
zrwXfKI;?D{5$o7$$yA0ouzPdd*t`rccI!?cbIP8?mdeGkoRCCz!XSxlaY$j2i&EIw
z?j*K1bSi7@i({7WC$YU#1KHTkp6tb~u`Dp&h8<aGEO=41SzC$%dnWA7@Za;2tW~a4
z=W!vQb7~*Oi7Ey3zKE1u=F*WDk#x%s$=Guwt>3FhYklO&`|EeU(%=CvedH{EH|Z#U
z<;`w>^S4Sq!fQ3Zb=M01+p#75rbTo4zn*FQnj6Xd=AP;Nk@zHDRUwsse=VJt*^$Mo
zr!C=+=@#&}7MAeG9<JpzgE#Yv-L<@S*&$wQVGAFB{49Ta@@;<5x|e)LW*@&_c_5iQ
zRwacqgK62F5%g@dGj)COrjgE3#G9s(ZbmL0XQd=>SV@Ps?4~TQCW^J|p!B3$!d&td
z+20WSYI$-j;kX7fUNnr=3x4$5HqLCpSx>fj%tY2?8^>J3Qdl`Rhn-rvh+R(1WorZT
zncuT~W}=wST=JJO1Jeb}Z%hVr(@10!Ou|_315dWJ*?}D~Gi6k)!9I?aW?J80QvaWG
zq<{MWRqU&vF8z7rB<D-9(nd5;+|M6vYvzA`$>H;lX!4$_@!~r*58Y7ZvM8WM;JOQv
zxPjkSb0;(Z;}lJZbDV#hn|$dlSL-GLeKQomb-gCMzdsbBlSY7Kume0h&cU@7f7q85
z31t#V(7zxHKK{ys@%|;y;Ux6aE>y!()xB_7qY=3KZSdc$3((Tp1x)TGl*xSuqv=w(
zcAEmKm<o*la|5(KXNt;4guFza6P7A)xOJ#Ejw%VnhuY!TzbYDQPR66joGF;RDiQm?
zPeGsB1Uyq6gDw5x$Q}ivbFLRY({w|Z`=f;{qXp{!8;ozSsbO{7K<t0?1FmR2gO-r1
zpe$~Mm$U1jKW7VMJ}-j>{>y~dmJBIFg=e}02hpo-;N$>9m^N1f_8*pm^>+Wbp(>xa
zb<NK>_;#0DP<n&w2)xX_)x5wxXgSBNHaX9o9dnWU@Zt)0-KdjGd*02Rw0g#s{d~v8
zMD}r2|49jcFL|)BR)>@T0~niZ2KlS)VC*edhzj<Di`r2Dm<s)G7J-ZQN?0h=_wRpH
zLvq+Y=x90yrlzOi%l=NNneYNE6@Nh0dl~$8O9gM(>Y>dG6I|D2gNl#FV(NKM9335m
znf_6@J17wiv}WKuKY<n9m4#cMWux`IY`l||g@#R;Sbi)87d9l|lJ{X)K|YwZavVl&
zx5jOghv6B0HT<9^johyu$WXfuu7V3m?S2h>xl#rxvU9<#CkWI=*g;j51{@pojf1Q+
zoY$+Z+>h?L+(>-~t_6OGYW3EM{wBP3JCJ4B)}uUDeCTnt*l<mkc>S$`{8oKK{*j_H
ze_k_)52~EbkN&clH*qcIZ?&!G|Lxkrb2<n4^06)adAoDGp>Y?#&Hfd?wyclu-#>t+
zKNv*gzv<I{S#ugP%7Ge7-D!|R2u=2xN~2!SBW?W^baQw){jsd3%TD_!De5@=*nWn#
zX$rpgR$;GE<uB^HBFiXNogJMvgjHV_e9l=8?2RQbyW{?B*3C%_ZKp79&J5-QbC@r;
zfLRaCVb;}4*t|74OulCU`*(5<TQ_<Jb6cOl=D38iVI||)&$mu&x3JqHC`*^g`O33h
z%HPSk;|?8{5>wOfUDS1T6^$4)oA#m~ZPpijh3T?1Nb)xS#<G@g+A)*gb48zz*|J+a
zt9pG~%t8Z^=I17n(O`Mbb+bJ;vMHKV8@!Br*HX?oj;!Gd%^SFs_r%GzT;txIe#{;9
z`pi8aBMFPfDnJowfcuLf@QSy9Zz&EC-Vcyh5(wo^ap0nx4&=8K9%dE6w4w^gPu~jG
zqxONvqoeRTuN@i;Z@^~$39z^?@UdSKajYV$Jl4cH_l9D!+6e4U5OU$wZn(I@8{K6m
z;=$ulSRFeBl@BH3y5uxWn2?DRN6o_c9~ro>awfKzCSeW5<Ir8<I8MtS<)?CJ{dhD!
ze_)0m_Ud9yo+7&W`~jE6&tc%ROW@Xc3>M4pgzx>UAwYF8bjHTO39$$s4l;uTV-=8H
z`IU3dxyp%~>$#d6>p0i5*_^Fb0H<?zI5%#_KrSGrQ{*wSRur*jmT2c{GtvCHXWho;
z4tKkhX4pD7XG)vl-Hx_*+VbKjBdx`slY_+7nX|-B8Aal0TPwxq2ksLGzCIz&UUE^K
zDe+LOQ}<ciA0y3|HmLAr-}U*QJ{J7XD^7gyK`;KUQY0_0Ka)QpmCKvwm-4GDDtRsK
zJ-k)MQNA<c3@`il4liH+o_}R1MZ@=~(A(_6WOdYv_!X{{q8dbv%cjx^iA5AKrI-|c
zZKMk?c9ZGYV{|~_9L1#FqiHif(WnAx_F<dgnO-oMMg1DV{*!cObrD|d_pvZ`^K>H1
z(wW6%ZFAUh_vOskcO^UZwwQVRC=uL=B~0n=O6JtCT;RhNvp?<WOfoZ$l^6Q6%{!e1
zm%SNlQ&MNC3;&W!LN}3XGmVX{q)nIRQO7lo@{X#|?M)s0xpAqyXT%Y4^H~Ft>QH@d
z(4kzeTce(P)_aH3lKIEAeNcsKN=6_yvV+KU5y)BwfYGWb@E3ZLT{2mqemocY*9kMH
zeXHTJ>_%9Aax0i!-wiRLhrq%AIQ-!W<c?o}$@aG(#qlwuw7dny)*tXvM+$8Pzr#wc
zL0HYS@J;q$++<{eOZJbz;2*ZA^41aSlE&dcKS0BIo>+d~8#PAy;fO+iEII3sF|Yja
z+jAeZI5!^u>_B`_=!(&soN&uGTio4lfjcaX5Q6kDC0q@4;^lFFp(I|tCO8-EUclPG
zF0l2y0DUH6;eW6Z8ZP|@BerdaLus3!&AuGO?~38zngXcP$c1kY7YOz7TzIdM2@f;U
zV2R^QSP?xFj@(Ftr|UC8ck^6W@n8YWk6i}CN|(dHfki@IaTP?|uMpVnDwyxN19X1u
zh4zTUFfsK6T(WKl={=X>@3lKHrS3VLu=x!2!GA$dav=KYC}U`xCiXG|{AX)|>Z>iW
zQ9KG)@A$v#gu@+z&!Di^7cGqf@g6r3`|Sny*UM1M^$x|}(200eEf5tdd<9n91D6H3
z;j9~u_~@WD$}5}U+98ASh=K;b{3VZXG$e7s<4^Eq;$wJIa}7qlW6<u=1TT*4g#@gI
z18>*D;6p{wotp~>j?4kAm?Q{(6a$=jC|KwRz_cA+&{OLU4XOaYIz_PJi3oO$00<Sn
z=jiPPrK<ig{7*21C`ZCkkI7)SI~5w7vmjqO7kpP0LJ7YLs&{Mv?J?V+pm;B+Z)*UZ
zMXj*j=p2-8>;$(vPr&QxM_5<)7i!dHv3~F%yg5w=ExLwbVYCH~xMqjD1pkS{FTnCh
zAN2bfh#d#R@Hj@HUU4jrjE~2p-SK!OC=QEbqXmarIMzN1LZ_`hIK&OGt<MSb6s)oJ
zfHD5j)<x+YWeky%#)qdqgNOe^2)T0+a!OmEV$pt>(y#>*?N>w0pFB9NoB?wLkHK4C
zUyyZhfj7q15c<^!8uE4FdA%y!jZuK_sRJO6B*DA<FW21ti}Mow;%vA7=C-{0$DLd*
z1;#%Iz@jh(xLYv@9v|0&+H-?pvoNzLyKD_PU1MNVpF8Ma5LmRw!pVx65OjL6z`Yd0
zo``bLzPK6g4&4La;u=9v_rbkWm!bLFeRyd89-1fp1w$7(R5+@J&ZPz@zuOG0pV?y1
z5EndW>WL4;6YxddB#hh>kL#1Bqr~1B_}n4`7oNz(wN9C6T#<&RoynLY^c+$I);+N}
z5MwzHY>^*>dM=juamWyK`85b*Risf}{XKA|w_tLa7+%lX2U@Q;z{a1;AuJ#nhLSHN
z*w}(}nhx0dNWtbIk2pguF(;>7!_C~blGC}8$n|Kta-q}px%>E2G&<v~D9Lw=DBwz}
z$l=v+(dILE+%nHib!%PY<mxc6r#0*C^0udnXWJI;ml9XX8Hzg{T*a+NBgA<F=ZX&m
ztQ2>qZ4j&I>=Jt}IU>GutzEp#<Ca)c?zMPw=x^~{8+rbYtrlN0!I(e4&yMd*1%C3e
ziM)F2G+yGsLf$C8hzHFL`~<yPe(%~wK6`gNFQ0dt9~1tTe_|y`cb_Pez-ExiEGts3
zaHZbGK{P6Q8l8#}-0G1fROVetYU}pWuh3?y*>Qp9mOiBIhTmvK!vN+kxDPf(3w!;>
zSu;IhS4fMWAG`i7k{utH%yjCqm}5dNdop(g`yNots`i(%ozZ3Ns;HFdO)O&CyO%TD
zON&_hu9-|GHJXiV_GY0r4ooxJkg=mm%*N*{6+OB_pQ;X!cXJu39F3>vN+Zbb_$S`%
zY9-%Urood|OY23aFCyo&Gq_Qc|KqlJ-sS?%3-kUf>QH2B3Wi}0a4y#awtbrjc5f2k
zPDMHlHd+jY3BpX$w-kO&u7J*_Dwq{o11`S%;M0x<STnT+94g!4oiNMKOznaza!)~J
z*n2p-yALdUrSRJfIrKWDf~f<wuzjil@<)uY^RYR$+_1(Q8TNRp(iy|--LTXM@ujyX
zcC7NkGY`E{d!!G}P4~u^HRDn0nmaZLEKOyE3w{)Qi2iLhsHSFty?+d`Vvimgk5tE^
zg9=#gC5_*P_QA5TJz)CxJ`7lS4a#11z)<TJc%5(<>X+|@t-`EzV09%J6jwlD)GGKn
zpcr-*u7Hx8`S9*}E<8$F2F<gU!oqvPM_?{YznurZQU&nfY9X9)D}e(4)sWC%0RcXh
zaBl22sK2@k1}GhX<DZVe#AU6pqxm%WS6_um7TvHe@&ybS{u!(b|A2+#0E~X5h@XU<
z>CfGIsJ7h@?TgLvqOT2pJLQ0qf~PAY8nANoc+_|C#m&J1s2ClHF%X1O-viNl&IF7*
z>4zB)ys-a0qN#!_N`^b)!SB`>t~DIP9t^?N^R!S$S{cXfmBF?@eUR??2FiT9!PM%K
z;JX(?-pxk1e0VQ3R&9loW$VFcMH%c_yaEnfSqiZ^Suo+PaJCGb4i}pfAnaod=v796
zV{Ih#NJYWfx@b7LJ`N0yPl0NcWEfwSE;y^^ftvqPh<7c3!C#AE=7e%s7PJYT|Jeo@
zw-*%V90n6;fw>ntAX@zzXzSbu`CG5yg=a5Ju@>sTe0lt$rG~X#y14X+A)YR`z`lug
z__cEkCVdrQ)AI4?7wwN}{=t}N9fm#KlkkXRByO{a#KL`(FsLOIwNry|;Z<K8pyq+H
zQRDD?*Ju<r=HNIlLsY5K#_ktNs2e7Y7Zkohp5;>r8+{$5+=U)?rohLX*#%1{R6>CC
zDwy*$9}cw7g{^O=f|BthnD6HYC%pkQ{)~b9fuq3EWF$BzTENj>Gw8o;3MO|<!9s30
z+zPdT^GB>8$;1w5ha;>U=?d@9dqDBh0B{MJ1pfl3z~$U@i2S|?-aIIP317+}i8jEa
z;O$^}U>|67H^Eq8t=ZHwm!YZj9vrjn0fz(qu<)l04p}VZM18e!MaVGJ%&|bvJ);oz
zyWsX{57aLZ96cXG&~Zu>#@58+zlDi7t8E%i^_`CY<fq|>Uz2gLbu9iq8IGB^CgA!8
zPyD*Z1s5E##l!KYxaFEIdb%s)h!>K0zvDg3I4a~{FLgkgbt9a8y8}+Ct%ZNv^Pzj#
zO!%`u6jGQ7F1d|_<{t(Sep(qW=19Vhp7&hOp!?hm!^_;EJH&<kI>vcTtmiK5+sDo7
z-p#!g*K*y?wOpa?E^gPFJ=`Gw{ajgOJ-7DAQBE_qjhi~@3@2N6joY7epHtcVhLeu&
z<BlcBz|Oe>qrXrGW-m8}<9lr2cmFsr-RK8O8>3;Gb{b?lE`uQX5|B#X0H@n);Jr;f
zWF2b*iKNR=H~t~aiWJ;|mnHGVUq!svq>bOZg?nF^HRcLjr)i}pUich@Ev?bGW%o2}
z3`xi4lq?*)b|D(%<zSb@5{&q~2vdTyar4+r9R7Sds%(qKu+tMTia5;gwZqTnjqqlL
zI%ZZ&3ofl57*l@*q8ppwz~XAiGb#kh(5VoqD+1$LgFzJXn`=-#!*y0|;1n)}apF6&
z+}_GU(Y4SH*T0$W;=v8=;_NgP-rZ;n-+MTgzi?(5KP<PLx1PU)FIGIvM=$3228pY@
z$Bl=)f$2xyR8xX@S$XOzP$zG}X|BB3oN`R<DYcm+zu*bvH!zkwzt5z4=OyIWyOJEV
zD@aRWE6F_ij|^&#QcH9@9oD!(Bd<N7Il{hXGczf+d4VDu<*3CjdJkig8wDrGAA8n2
zQN&Iq_^`ciCbC0y(JU!0krf?HVPzTV?5_VT_G##B_W5EaI~<V4UN$5#N8<!$(G|{i
z==!siF&x{rax~i$W5$#ubXjGy0yA3ji%fE#QYKxXOPNjd@Zfg3Qc_0xn%VThcap&K
zkEN~$!|2#^Ir{tkHGjCXgMap87vKH0h%aQ5dG}^VK0`y5Hw=C#wrSiYR*0J>zLT#g
zUM-W==6p-ZwV-3Q+v`CRB8LGEqGuDQiQK;zi7ak!6V0$|5;aafFS2TTC{oz;P4s8$
z0Ip@R8YiPLlncnP;`l3Lx%(l$oRn!aCzX-Lb=l@}$F)kix6+$9W8Ga`+nh#j_?T0i
zN!d-#uKFc+W5X}5FI*l}6$Ms6&J+|g?ZGS26Wrw@V3jae%#_Omuj#Ac>F3R`vtu80
zemMcl)?9=$`yRq2zps#cLI$Ums-maz5Y#jmvW87#@O18YT;mgplaEeDlga6L<mLi&
z_RYh9K`Ssbe<ey~72&PZLY^dJ1^O(^!@X(?P;bW!OdJw}m$m%xq_#6Y+hvB)jvBar
zge3NDc?9}L#W3^Dc6d2;Ih>pk0{TtHu<hpu?y-6e_j{BRcR*vRsK6{<JaG76-g99#
zfAnK5uYBVie_~k=Z+=>aB3w0S$1_8+{bo%|cDm5Pq2BayeJDM%o=m+e>C_axNZ{EE
z=t4v(o$jlkzp`8CW_c|oZaqK=PRHnOBGGg6i{wyrn<|$-r6lc-bk6xV{re!p&i5+{
zd)+lye7-(Yx^KkX%to*qXvccg#<2N9k9m~HgS`y&VW!IhnDK!icJcT`)>ab2q_jg=
zL|8Dp>^Fh6$oaAldpww@mm4ExCpOK(hW!z^GgXBlOw&S>se1~0aB`)D9Mo58ta?UM
zR6FU>{L?h~`Eg25tRtnq?euE*21-sTqvOs66lAc7dYjY9z<w%q%#Nm!aiO&E;RN!2
z>`R(K-n3fJi#qJQ$fwAgP}`5vZ%!b+lOd#WF_Jb&PbQP(6iWU%n+9~`(5R#WYETjS
z!BZ;8Wa?&8G^nN8)d$F<{TO+)G0IqWnZgyisVL?Z9ZLI7B0VW~>9Ra)Jgdf1d-d3U
zPh<9PlO<boZ8RHo-i5u4aA%!?zU<tRAm-f^#xy%3nM^?pdwe67{jQ2-ZbFW0Ty_MD
z5gbRCX9lqClH-~BI#;%4l07Rg7{NNihOxuHgx%BsDX_*B609ioJ#DP*rsL1f(LL{G
zGI{nNrSqHV-NRMX=$0?!xiU#=cpN=@5J2A#is(nyXv$Nwpx(q`<nE_S$@|smL5d39
zNmr!wUGlX5ryNyIk*Bej6=;EjGU=^Vr9F={DSVhd^-eUTd%_uYs@9goH=M~>(}NP{
z1=9BcF=W-1LO*{Axi`-Oit}AXUvxGJ-l-bubv-EfsZJ0td6w!X-lA)j&&j6q8+rVZ
zVljUdg&B($J0>@b9eZiPl5dS>qB>Vr>*OWuv=3tUmPfGe_IQ?davF2CN@cG1XR_E`
zX>8(*nQXd63S0I*k%ixnVRtM-8EE=4pVw~8MVMzzS!%{m*hPNBUWt|N{YNX=E4uOX
zn$Wj7N!yq2B~954RH$7*3UR44sAvLFnFGDRq2#(yfi_Bi;Zs9z^0=&--(+6Hul`)d
ze;qWR?;R7x|964ozX`h!`t5Z23Nv|rW@*28#<CaUdzH7uZ(`4jOA<-^F1SV9|KOOo
z|I$%$$opgB*?KMFYmU6w*zSyY=ie*h!tHm(t94(Bo3g)&|0YTChpUB5-Fq#bPdDOU
zINI=iQ(Soq^#ERKW*mQJ!z_N<<9z<}n$`UL>@EC=rhWY7v=h9-xeGjfe!wT{f8}?N
z8$hK->eL%=NRPDb$T1V?c6k_O?oFi)vvNuOe;l26I9Kl*$L)-ek(Ir&S4PO^JdZs>
zk;qC@TSMAqlO*3FGEzx}mWE1k?mLnwQAA1_ib^FK8uUBY&vm){<+?uSe9rSc_qp%)
z`}MZl4|kYC&@Qcjw5?pmX2%2g*Ypa8B7Z`T&m@ezB!^)gnwWgp4AURZLTfi4TvM?C
zBaTMnk#n&)Y!r_fA}Lr=mX23iGH~2$A083TK-)j5s7n%Y8{bxR99e;D2ZFJ7yBlh`
za6T|DJ9tHk1ooZ&3cbG{z_;kLFvoO1Jbe@e6V4`3qxOq6`+I`jE@#YUU*xL`+;p9{
z{-h7H<bEEf_itcAw|`=Gx{Hy0{wm~;mJuo7w<iZoJV+Vmr9S1nnB2;aA#KAu$*5}z
zxyED?cIzRMGEqQ&_nshW+LdIy^D^1OS4&LKG!l#UHln!e897q%j!X?2Ari3@#BG-_
z_4_D6L$}J(;;G71sY-+Hx6!9ZGE69ct`&8%n@K$boH))Ar7t$S(PJ*2^pv7E7475L
zqx-$-6?HEvd)S?B{^v|R*70c0-<kCEJuA9t%$UA9r%SD*)#!dQm9{OBq!oF>RO0g=
zvf1(z`K!+9>^s^?{_;EI?b{n9JnRD5+)_r4*cOw&M{>#H;VjZ_wU?MI;Cu|B@q{m8
zJ4wmgOnl~TBwv!&lM71gNvX&N^44V&DQk)&W(RhVFZbff-c`vYxjdb8rR^tnlMazl
z!z1MGNC_!ldYYssULX^G*U4xL606@Wq`&(K8DILE{Fnck$glcC8kY&t=kp|JA;(F5
zeodKHP12$kz6NyN8gqKx&6eZQ&Z0i~&h*(G5BgGRHhsL-pXQg%rHQ8lsOFLYdZ>L4
zo%6$&PVe)gxuvdj)e;^Zb+x09Hk#9B<>~a;a&_vRJe6)Om`wNH7o<HKevsO)Z%HqC
zLJsY^OXk$xAmx(hNW$jh#OlXkQkl7*#95^fui71CreqAsa9T<nY{N)MUm$7L;<SeY
zUZhgZgCthD5uqG6GXJ_ev6A;9A4+DE#q;M9A)8=Q?ifjStyxZbT4IQ5)OJ#>ltj3I
zU~=+lHu0#<Cv4DhGKph(oVay`aGWF3YSTgrO1jA1wtn)UeuP+E<D)a8MCqKlQ)ugU
zCF<FvNo_O@X~hyt8oth+3M*3TZQ)5ZxtZ3z(Ln0S3!&yr7)^d0PGet((`^gGXt_@a
z6{rrRMK!*(kDF(Gp2_hcm2Bw#5MwTLLyMkzqCoq$Po|Qd0@S!+n7nD>hSiT-Nb8>(
z@;!v}to$e<lHCW$BChXZRJoA|-&#mMiu)6?m5_U{XOLk7L(*iZNgm!&B58fHq$f;@
zEY+4E$JNA$pra@^=MyD^$Ha)?V+r#4w-k4eI31^&64|SyPOgdSk+t7UINq8K(d9;A
zQWM@p$u*eFYFtVT@-~q@oHt_6%?z?HB!`sUJxaF8RgmXy)x;#ao+R#SCpS1|n0@vz
zY2tLyD=Nk4%Q0EHBVU#N+MrKsmRV5!*$y<}JI4((@}-q$gQzaY&QUzDgeI+8LGur;
zrV&rq&|b|o)H!k`onN?=n*E5NzmEpdkPaWpNj<2(gbn?7%7E_vGmXCUmZrN}1*qcc
zPh^Gn6Y^vOkSdY0<eT~ta;rX#EE|X+*S!OY+d+F`eOQ|a8cLBjGsc*qwcSio(JiJv
z@+6}da)5DNvYmNs9mXVP6UOt4A+w@Off0Ew!pPf?@|x0mc{`-<^W6RGc#++gd9kz4
z^320e^VmBlc?SYd@-&~7@g^M0d3}-RdA-(GdC#kBc|vdR@|HF}=AB*fiYM}Nn3tl%
z&n)W`XZBp1%4pSVF?MR^OnSc)Gv?^Wyz-7>);h&9$=WH*n%Vy`dN+?UkFw7(fuprd
z(d0H}ibOxttM!{X>ncXhunMHARF52*YD@H-IKHl1I9U_6k-P{_AzyABBnoS}XE&pY
zyqsQ7ibJ0eKFg2fQ#T*=9hywjo0O@;g6Z_fP8+&ez?CYU3ZQON7SVvtb@cI;9rTB7
z68)Ex#&NVV=(1n?Xv?vERD|<2zs^XZMPK&N<e?4pMBXB5o9Rz6dKO(@XF#9IPNgpG
z9Jjsb1(~w{CQ)xJAWrYM5`h3pcGXCc&=1HIjz%(#?{azf|65)+InsjlU$US5YFW!J
zo<GP=$4Q`cUKs)yBha{I5AT+F!kVq~LEmU8<e%LD*G%?6>B>|%w0J+X|Ca;)B1I7P
zfUB`aD#1AZ3Rv&11)0%C`0~09()^!6z1=(T&HD<9%g5n;ix6Ixlt72IG8pq*5vjL2
z9yp<kq}2%bUADkDTU*Srcf^UK443=rf{N-~{++NViVk_={6<f_l;we|J=`$)H$}f2
zPMBUe6Q|c%VIMWYTrWNB98<$}8x_#KOA6!MCSl+Ou9oon3Q2q3Kyl0y7_(>w(~dfj
zT6zU`zpDU`h!gOku>clo<UoB?7JN?H3%}!2;DUc5z{5STJZUFf<uoEmj@x1W^c|47
zY!}#XiHGSg5~1R43N&Z#<!aIWz|<Us9Ory+TXz)VIhxGD>u2Hkvnvo;Q46Q_?!r{x
zcG#}|9DH&I;CJ~blo;^gsag?C+bfBecFUuE<}^H5tc_a>4DsJ`3+(4IYfZk)LZxM#
zr(4Sdh4_82<c%+vd+(3w-g8ik`#aq3i{h*|iYL3Hhdsr(2?u;RHUpQ>HNjXbT~u$J
zhKbg4m~cWIyDS9I`sXMJS@*-QS)K6C^e#lJ)W8d=^N=o63RyZwK*Bj2_@dLnEF%F<
zxNLzm_q8B8X&HFLM1uXQ1z^=51l}!y9A`8TZj=Us=guI=%?^R!o^YrNS`1qJD<Qgf
zJw$xk27@YzQ2HVbUbtn!^q^c=CsPddd&)qf>^zjET!){!_3$yd6}-!OKqP4ZA{4(v
zTqQpSC~^68jZ?6>ObOSX(8S<U13Z^ufj4YsV#F>6N4Pq()Mhri&z_6L{z3RsDFlPl
z7vPPw1t>c?gk#eNVNCTLd?Mt7C-hx0+H)4l7tKJu`CJBig(l|RSHSkc$*5`|h-C{#
z;j`W=IQQ})yewxyG4CR@UpWC^Cmjak0~rwN8V{=+*Fn8nBwUr71FQbIz>eGY@Rer?
z5+O$LctjU6e`vzL+3IlNwJLl&r3#{%Y9N-T0bdVjL)vkD@V{XU8@epv<it#nx2E8-
z#~VJsp9lSWqTrd|T5w#x1J<lg0pF+lL0BXYUjIG@y-*3dQP&`)uO6<tv_ni*A1tf=
z3_|xNAf<g0?kJdo))$l!eraP}gb8+Dv%&0M9-b}sKza1X!pXsy>=J=3MvHMca~X~~
zMWcpBG&XB3Lr1SgSYHu_E7r`z>9>8*_5;N>13R3kH^$C?8n||vJl^yZ#k~iA0kh-{
zsQa{n(dHUBI(`~{jUEQgh%^{nwGno3+MpH*XLxnp6yoZq!T3K3*pvL1b*=4Z4d%D8
z3IFO?shEpwcGO9B+TjA$w)-Ia=zAus*^thLsi(4g-X^pE{w1?p7NoLEUZ=C&2QpcY
zu>V+3=R9_m`%!l4+EeU0_5$neUBeovH?p?=kJ-rYuh?Ld5%#5+0F(?!!0dVjcz;P7
zPPCdsn*|SszxzVwtc4)0w-IVqB*C&vS>ViH2sO*kfc<DS@UAw3-t{iX7x(~$Ipc8H
zN(^t9%VWz04XnyD#w}=vgTGzys?Z!vJ{X1}oWJ{2dklKjZNV8;yU?^E9^<SM&?_Py
zV`uL~;TfCJ_S9;eGqw;nWCh^cE{+%MW{oRdbg{@%9t#%>;YG_2a98pH3>~WiSEYQY
z%7};Wzk*;_iy4e9l7Ov~yI85u#jNX<AXakZTitzr-MZPW6HXT+Z}Z+rs4{A+=Q1Cr
zB`||!d5qEZv&^0gz$CtU%y<>QV~k9GG0b~mV!c9|cv>oxwTpB}io6-QxXhlU#kg^^
zp8#U35Jl_;))Bv_yNQlqI>&JTkGyp#B=lPuDcD{`oVsdBv`h=xV)~T)Gae-QqMXk)
zT!>zgm!t(63Uud64SJy4fNIUQqV7eGbnJ*Ly(i7};_Bzo+$~|W;Y$>C9Oe3+bED~*
zx6$-b!E)-pb_spRF<GBf2UFSI{#16{jmm6sq@`9C^z3F`Dw3!~e;=Go&phL!n<jrG
zN25E*t6xCQ_MaoIjzy$+QYNv_+D`txSx82|d5|;3RwU!929cGKCi{~3$R`+JX8dYr
zxEMR8>evNl!HyHmy0dvqz^^Rkg=sn$fRe-{+3#T_r|n>No!rKpJ-war=iAL(yqCcE
zpH5*W<zz7Tv$C0pf;>j2wuDjTFJ~Tay39oAv&<6H`;5i$9;UhY10(D5m)X$6c`f(L
z67{+2#LLN;<gc+OH~)B&WU)|ESG|Ue9*ieZwfjitP#y`MQAU(bTqb#*^(1CS2kGS4
z^p(TEi0r~ibZ3+-RTxsEeq8QHorNte&2gq3oqqJlnNa%Z$}-xPA48QtZ=o`Cc2fbX
z1o~_^fgbctpoWRN>HCT;G|qb+9jaPP-?<0T!tL%<1Z}C^UVR$R<rLn~5~1TNpNM4C
zL*g8Hne@3GAz#cBh_>5&qGM!6tOvwM?A}Mr2flnpz{7)aiGIvWufFJX@?${Vr3Nn3
zXQMTHYRzgk^;H(T&*&8UVC*J)t+I{vE$nCCD2=hh*Mz}&lQe`Z<Z6OK9eC<$1{=28
z13T9Znm*12)kO<otYt0uy6=ML-%_D+-~eFS5xDTO6jaC0L-4yAcu;y50v)(a&&oG&
zdUOP4r|_fhuo#-0mqml~(@^oLF6POYVZsb<4ayNboZyM(?sHJeAQ;~bg`;4^BINT}
zib+Y!uw-m0h7@so+vZ4Qi$m~;<6Qie<cYyoc&H(5jkmiD(Ai%NW2<CPd4>q4^8bL>
zJ6}S)^nLjA@;V4foQ9CX!*Dk@4Z?>u!GWb=a460VawaUHy+aeyAIiYa1|cBwqb%Ro
zKDO!cLpC|?HY;=F8k@m?fnBll47=@lDT}|4v2N8R?ETRa_Gs~OmXw}kEq|S1FXo?T
z)Aw9uUtg$YwJh$k_r)KvTl`+IAUVW(E&Rj2G82K{hooW2urizp)`RtZmawgafvhS&
zSZlcu3TABpiEW86HgiAB`<xHD<z-N?^)h&_x((8MA3@8rH&C+V2mF{UjKgu#_$*2V
z`!4I@Ie$wu6LZ3xa!=Iy9EkjTBXOtB3T#=l9(NALq4AO(*tTyMUa{PTUwGSb)y-J!
zyuSu_TwaVB4fC;Ku@~O@;eeF`#&|ea6)l1!@m<efNHu*4`+hWl^!iG0t~~@6&v(Ed
z;dyZUr8#_bmgX3hZ&=M;7uc+G@oeG;Q?}ahZk@Qba9#M0hfceVj`B?9CwQkyjhL&a
z1DMkLTNwR_{Y-)IQRbumc}7C8jtT2}z^v-+Wh#6=Gy3!YF*$jn<ddK*St+VYd~5Z|
z6h|wPUce(V-+f5QQZBPVa22Pk-%ef}O(l=gxc5V*kj!~>iir4LChu<m$G3Y(BGX=w
z*F&Gl8$CX1<s(L~^vKfQ+p5(5qdwg}!;;?H=t$$YxY2!+{OO5T!8D0oNSOu8X~N3Y
zboZroR7`L^HFS)jd;HhXH{Q|ouWuA>$_%D^y?yEN4vtH=%Z66x8qlEC)2OnG6m<&W
zr;*j~Ip2Oe5n6kb6mC65CaD}EJ|PJtW8q@rVCY63azeL1v2sMpYMeRd+|9&YyvD4S
zDP&GgBrskkAxzCrOXkp(Da=^L01s@g@|>6L<;g_4^QsdBc`tYT=X72B)T~n{?%%RL
zlUi%t@~9S%Os=DqrgdG^w{F4r)pc$LDRs|R=F}bjQ(AXb;Y!`9k%l_H#wT^Lci-1l
znN8H4R1s$zBox@Q;yP@my(P=x71;LLxoq$9rL5`TR+i%|vh(zE*sMp#+4i>=*}4>D
zKR$oVa)tudcf$l5v0nn*jFiF7(g1!n&IC_6A7~;Ap=sx4So0?pMAzrQxOFMSExrtI
zq_|$MZ#Nt@{sh@w{P<>25+Bs5;1?GId>mwpR<~U-*EJBklNaG^#Tc~Ovjf#slJI0u
z8j4tEpjzBMoX)oox#|>uU^3@d+KpR1*W)ApD10R2hyHSon3XpjgVg15oeV$6t>}gP
z7d4=?y#RKLZG%WvXVBK10!^)VSkLMetizA9bz>S<yhYtwjK!W5W_#@w#x<&sIV2%S
zLhI$pXB|DxgJ?~LMx9AS-yAY)O(cPq)#RelHu54QiM)5t;1~p)_p>FRM5G-fwI|My
zaDyuHRkMbKAF3zok{^(wA6?|c``1J!^fPHEzlpb(AT2EsqpZ>tI(|xlmfEXvd<7lq
zu53h2Z7k@&Q5(9)&XFE}$#6xO3l;z9PJd4IqFuARsoq>~dep~@elYQ%55`?+Yb!&S
zTyvl|I;^Rgrx~r{e8H->HE4~D5*>G+LX#6j>55)HTJd&-G;tcHd8S?DO=2_AsN<M|
zA1;#<QWa#T$#K$2k8paLgT&7{lSFHz5zC%L^7ip=@@3yPQrEJXo6&C~MP(a_y51&I
z^D~xA$ZsWk<92d0_5_l<BbnUVn@-g2_7lyNgQRJ5J~=2+La5g%a@6uXvAA1J`Xzvr
z@->sLlO3e@dmoAV{E?KVjFIpz0s4gNJA_=BLMvV=(jiR^8WyHcUE)lsQJ^(-ZgZeB
z?h#6q-08hMZ#q@ikIpWhLpQ&lOFe$f<$5x6XrLYE_uk@7<+I&r<WYuRXyoRJR+cn*
zvLV$<)TF;^xooaMDf(7dgvw6;Lk5dDMoniA2^wi3j^cGh&a{f`TT(_cE*20!+5bpv
zQaTy@6HnH^i6sXvuOyG=M3F1pynS|V02z|@BS-#ulf?mEq<GAe$iDR=QzU1T%`5!L
z`LBWGblC!OGbxH3+`obd-Q7S2ZFZ8c!%0MX6{k_y_aFHhdW0CfI8I)vRFX)AtK@G7
zOU^B5A%SIGgs-}vOiLXh7gIPMy^1Kc`zcMQOK{nS&YH9+*??ZVWI-d#XHs=enH=x!
z@qfP>|9AjZ@Cc?|zMK~Oa~M52C7jEU4W-(bf~g=0q^YZYX-%j*T``MC4c%;L_*rA>
zR<1=0*DKNjD@l4;S&-%*8X=O<M;^X?K=SlziAwG{l1fU5j0vYl4N4`}tGAF_iA%}K
zCxPUWha2&!o=Mj8n~?#o_w?YL8ZmmTNFpQU$XdH8#LP>IEKiUm?QN1o!&sVpN|hm1
zz4D~OSeZ1%sFVCkU1IXam<Xv^lb?&6h*GTw$#)DSCx;diyH{&D*6l7rhEvH0v22p`
z=?K|Xc9PUOUL@i-ZjngcW+Kk<pvxZ(kQXwXj-o(_hUZAq;6Vkd#(mEh-Hm9eoHeJz
zbD~eDdQj<?{`Ap{V0x@Ak_N^ur8fIHef7X9njOBHwmn%%y91X~pSMx;&V>b3cW@5P
zdgxA@&pXoX?dG&8L5KDTDN>hwjzjwLFHu<kmVD88NCdfcops<8sos-AhQ23}t<P7I
zw>2Dte7P-gxvEJbc1RLwnO{t7$TLQ2Eiz6c6^v|l9^>{cl{rzifl0Z)fH~Ob#_-nJ
zFlXcqm_OUqn7VmW8R;l#rf;bPV__}Egq#*-f=k302cgMKR)aJ%*dfpCGM~n@J=SJ6
zH5xNrQ*0S4jusyK!H=19GJ=^Wv5wiR8P6EoW-vFxa~bb*#~B6J3moI9j-idMOxK^6
z%!$e08SNZlvKM8DiLnN8A2ub`RvcSJVGhx3SVA@~*+!(Z)5)wuxnx^=De;NAOtu9!
zkfS%B5ciWG$Zb(Rx_LLJlR2YEuf*z7_O>OpUe3@!ZLVKj9!ir7qv@xNO>|^@7d`2i
z#8E#}X?<53&3TbV<7q1O6y*4rTX)ha7VBx{@kO+k(?FU%W@zDQQyM#a8r3isqpp@;
zNOQ#lqNsMBq(L^3TD+Qs4%m~?pOeX3Y+^QS-ops>kMY(gznMke*VlO(5Oz{b1{-?$
zA{!I`m`z$e%AVOH3KEeD@N=IIoMS9tykZud{No9i!-C)o$DlKLy$<qxcfwA?6xfiK
z39o!}U^Kl5&bySs)3o!@8gU)W@81SK?&nv2I?vfgkeTtG$87P~#(e*Egc+G}osr_}
zW;BF;GiDp4N&QhBLSNXE%c%im^0&2QnrkW<2+AWK(G?{7GD|eJb&*A5Uy0O>Ni;-O
ziGJ5HqMHPHwEAWs757-p%_9=&!{P%pXnQd=Nvfo>PB-W{e<St%*GBstp3<8qdTFs?
zFMT-tg!*o4rWWnj=)H3#v}S1%4cp^IC09t$%Gt-rL}>@3{kxF$owp1gE1w6y+dbfc
zzd^-T6wmTYqeZ<e+Rv58&=7eXiIl_l%`$j*KpF#wBr)Qj1Ri(fdO?>&QFQ$z4BjS!
zbK8Y+V2d#7uNKBzr-d=ZPy|1J;P{sBCZV&U7*=i;$Gv|faMB4$R9!5Mnbur(iHsc9
zjmV?NLj`OuQNqM<6}&t?4I6f-;ev<ixaq3~9(bmS57M+y@v9cP$Z4bFM=ey@qJ{3&
z+}x^M1IGi@kyfjsO}7e8)G6Wf4GK6hCWn3zGH7>33Rk_6z!O|AXw_U1{BT&1WBT#o
z>c@ZKjl>w39~p&vDPO>+=OgSc9)xurZy_V`4YZWMf*0N|Va~EXxcc)2JpT6rZg1}c
z>18kBQOzs3v*is0<h_L=`9Vnh@BvQ9eTIOHuaNKg9W*_EfqCLMH2>to*{*`P?SwG)
zN^<u!K^$>xG8V6u#$`P+_;IE@UP)9ykt!wpb4vyDN>p)ht~%;I(7;FHS~w!4jmFj5
z_)}R2ADZZ3(2zF91#5HJ=33}KLlZU1)v=~S6}`FtWulc(`^8jTWF&{O^QYj2)soo7
z-EWCKlW@a-LReDGk1sxt!?kN;(B3%;hCyGTg82w`#RGtw`eD`GS8%?d4{|^E!mHcQ
zfhatOZSS5zp2c&J<a~&oIxirjp%1pTay_nD{V*mr0ADRWz}L!8Ai4P~OiKL@F5SQ2
z%F+pV_a8rA6%oRvnIdSTE`}1<Byj0mDGVN%f=4#W;hv$XDB-7se-Ef&e}yWNJas(k
ztBLiETG;VN8~47`!G#IB*mPGHBdc{$(nl8^QgpC)nKovB(ZqxL8hCw*8U|fe;k;~0
zcw+8UJR2d45woSy%#h>N{}aWBJ;J!_jsR*M`Ue^>f5Df8ZxEFF1zN^FK>F)<aM=3|
ze6xAUvAlaB;rKJK(dmIp#!unS^=?>ww;O&3J_V1^9%$&~?g93~Ii;6S*ZCUekG_T0
z)$hUG{u2}geTBI--yt*VH;j;f@W4<2|K1hCC2^DRm$^9le3^`~=cQ3KS{8T8PQ_*A
z9Q#361?TTj#pF}!SXZox!V9$VXqyhYjO$`}w;tMr>!V$=KC1ibqrp`@bh@RBla}fr
z|3xj_P^N+NebkUtsG$0NMf`nJ9?zx7;C>q^ROuGSifxlnQ(p*A4f5gl!+#*<!gqLW
zGz>8cA3<W*JJ5)J4UIi7;Lo#X(6Qzz!2T|1bb11Jws*pL+6mXQI$>YL6IfB+1uko!
zLT~9aXz_T#WrDqeK<tO*`v&1$<q&jD`wI4*-{EH4Z&)bEhY8mN&?{aTJ3~bAk)s4|
z(2>IBVjSE5og5y!qJTZClyMEeD)z;wW7;`QJX@uWRhx9t=c69poH8B7dZ(kOw*j^X
z8sMHE)A6mvbc_|$$K3V0cxk6LnsSUt=lyEfRjPsxyA-iQPaYpsOu>uFk~leD45xh*
z#+YaUT*yBG4T(P?ec4xtzVQ+K_q~JFZ(o7i!(RB|+XKs&cEKUJPIwyn7#z7=jj}WC
zV9x#eSv>*~=f^PlQ3v!te*z=nPa$RYbLcMX0~xMwX}x;@<i36c$E(Bey#6~}ocagW
z&gH`umV&6JFM?}~#PI6O$=K#CjUu74D8+e3<pPxOrqMLCf2oGcR%&AJEp4=D*TpHt
zT)wZO0Y=O;MA<PzjGbeI>?|XEd&3Z$8Vzvq(&_jrR}U+rba3{4O$>OghEnHM&}|lX
z-34;!*)5G5Iri~CBT<|hA%x?n_^`(CHwY~m<@$f0px9;rUVL~3CvAEmUG*ua4e5k}
z`;TBlUK>OSJcLE!t+2lG0X%s50IbSdL1gqH>}qI-%W@rXtLF)vmFt0=>%Fj}{uRtI
zdk38(A0S117`CnZ4nB&1VB2m!oV!mDgU*SdX`dK=Rgpx^&?%UgD~H*46tMJ_GIqRF
z#S=F)xEwTXG;h<z<X`$I-eG`pT;IGb&KU2RnqXh72@biN;9JhWJd|LByFMCV+ADqB
zuu2yvvb0bwR2`3T`}s2^MYQMkv<6jaJj*A+WzCCV&@%x%_+lI`h5rD?;|qvX4RTp$
zuR(cMFTCHtt=~Bvkkiu!5;Co@cccYub~eMm@_R56cMrDo-h)G3%^<h%K2)u31>^BH
zm@|pXDNF5wS(~20a8n<MaTx<%x$nW`-)CsL_6;ho{f6KjeE9jQARZH$g#FRt_}^nm
zeB>;Hs^{g=SW*dvf~O&WqB_1#(!x)3by11CmRb6S7_4B7PfwZP_XnoP$K~U-)S2PG
z9cH-xnkg<?Z-O;vj8J`<0S=wjL+uQ0R29=e!et5Vo34mc2W2sJpA=^4h+`xQqupkH
zoK*B1G%k%mnafA0T+$B_TAV*Sy&F189)s4}hw$!e3miAS2YqUH;Z)rn=oY^N`~Eh-
z-2Hc8OLZgIY-obk>Sj0{{{RA-+8{fv16;X1Z~44l7z%m~71f-_b^Rx(+A#`s?Y}_P
zh7To<3SzPPB%EHw?P>l}`01+*>ijnqt#p+!>$ocRPiUZ-r4Bwe(Z`Or1}Hqo7=ss@
zqOqtsUS=$C{$C4Jx3xso0Smk@VS!PlW;k)d1fSU&p(B}&K3zKaR7?{;4@^U!Bt?As
zSr$ckQfQMbhH@Q3Xu|N}K*diO_WA<hn+D*T!%MKZ@D%PpdkocgTj5+>GwgWZ2(ju7
z@I&S{^wk0UQ3qIT4AAr(pw9R<yqwYizmgk4Dd8UEPTU8%pKTDcv=c6p9vDpNgQ;e3
z;kVUC7}@_7?%0jNW`lo_Zp?98pNpUxH}f*z%z3E&WYI}q0bh<N<JJl_lyKI<`{#7g
z{uOr(4~_83DpNE&WsXl{EwQxO3W1vyX}z9-pAXHzZ|AH~$lMa`l+96bqX`x|8zO(6
z9`4?)g^irfZJWOmZd)XW*7K!s)L9J8X9?j%`2@!f`VQ`Mh9K<k8|Vvq4*qL8A<g?C
z82-Emnw#%{Sp!1it2%IPx&>MrZvu4HfZ5j?u&BNXnd-G*tIfie8wmfNH^9e~Ccty|
zVWD3;^e=h>2VXyfQ_ZiyjH_XKu78HRRo}t;=U)gX0;s4hf+o|%QBzL}GiS=;WM2ie
zTA+fvxms(9sW!(%*2B;93~@@T3C>t-ju(3@(dg9-6j)({&$;~a>341MT&69`oVP&_
zLu(xPXNgPg%u(j4F;0A)jz<sbpl7Q(?yFJ8n04}alB+i_?h`{x9U+XW83zllE~^y$
z0Jc+K!QnUEFlA3WTpMYIA=f+bV+%lK#w}3Yb_494u0hPht6(zyD$IAh3grUTAP{>E
za#C-Al+`V`u#N>Un|k2wxeKe^?}JoIJGVD>L0v#EbUb+j(ziZ<%-^q2bKn=3E5e6r
zO+vW*n<!4$Na7LhZ0+db@*GW6uyLI_;$dz4bXXrH78&8Ux2D)R)e=)*&cIO{TPzlt
ziN>z>DDv7KCpdq6zmh$woVG)u1RI=JX@xrG=GdidjQ4lyW6K&XoWq@m=K~c`eK*JM
zEf7bcdLc|woq%YaQHW*-K~TC6f{mVltxhXs3g3m%E`TLPH{ti3YfwLY8Mek&fz{&+
zFiG$N9Qbt}{LfzCSOQfbseTz8o38>-@&?5B-2y!agx?B{Fn@gud?)SDoYV#FGhRTu
z&s)%G9D?;l-(bz%zu;LSfP;TTuyT_G7X6dPqj~b^XQhl^8q{#1i#948(?^^8MtJrb
zw|C98;_7i5Z1bFn4-y^lukI|=*L1?DXeVqQo`p`;j`;ejJ(i8w;=0%wsOf2rfqRUw
z*<24VZ{+lgOO)}hh8%h{OvWo~MX<w`4{yhOgAWq#A#m9X=*#N>o9itwy`vt2M{mI-
zrE8qy>Jr2+I}cOiD<LkW92{1ifsNW{!0^NwXzVSA`OTG36LB86#y405T?Ht=0V1h&
z5Y%4}1?)XAk!yoo?tEJy^8&73dJADUKEZU2AJG1M0@}U_Vn(qj`Ye{j97m3quc?S1
zL{zcqwI)`c(!(7tMtJxPw`bK`VR0ho4{ozZ1&(tR+QLJ@0D?to6q7V5HqIgV@eB|1
z3})eY$4r#IVU3Y*&9OYj2sJnA;u3LnoExHubvwD7%6u_Qy(fUXL&xCeb*?_^?t{pl
z4w(708K%5L7#FXB6F!&0?$kLbkuQgB`^!K@xD?i}I}UX>kHO5oW3Z>?IE-y71+fQZ
zz`K72f>)dcw<8xpIpiw5J6Z#UD*)OrHp1ae55V#qr<q;w9QJMQhr~Zap!M!M>^A!c
zla>pieyA84u9ZTUJUP^OsDw3Q>gevEg9-r#SVBxOebf@4&$q>(AO~#ecEbD31m{n6
z!ONwtxPFNnE_8FlVxB8*_j1Nr%NZ;#bi^M&Y*8xH5|d)N^RJbw-)q%SaH#@13`(KY
zx=FZMky~pbBanBvAG##CT!OUw(5-bFYTsW6k9Qa0m|_J)Y&{8gCrUu(Xc27mC;&x{
zRsL~nKG?m=2ZgBx@PN~bjF%sUy3ylsvZoBL%;z*1i!Q+6w=1A2c@x}DA<V380t5dx
za9hv~aorr#{N8(T)gJ}R4}T#&RS=VIi(;p?6y7h9LlFyQBu(mQ7N(04PYuz~(i|K8
ztZ}WXJ(eaq;l&jc$yHah_V>U-buVm}^u|l#-q<$D3lERG<IImP7}mw${5A&^8L~zl
z4>L3nnvR`b8W=|vaq?7Y-2F)ef4&-rfTYi`;8!2mZ+Zl0<Qu{22iI@buY$DlGa$G7
zIMBjEko<NSg0>!lX$t?rp_&8mFW>;DjX3~Ml>P%F{X@_^kPBmTkHDSKVi^B*9E1%|
z!}-@|K~U#1NDSP7bQ6S2Uz^~gbvvy4_7uLGzJaJ0Lol2FCj>R|p}w;SULBM`xvMgm
zepC^I3e<3Cp$;B8Xox4*nxl@A4GQmYz+XEVd??_Ga>E|@db$t(*zb$|ll(Dpw?9Vo
z`Ju78FG|~b<6$FrbQ7gm-0y(@_0GV>N+vkY>fmpIX}DBI7L!%Pu-lst@8o=e_P9P+
zxTy`+T)7RG=2t`6s!I6${WzF?KLW2J4uPF!7Thz)fN6`<;N{g6_$QeH!9ghyur(FP
zvUJFvyblJVvOqbQ^F+Km40YVIP;>b>*u6gu7fzms(*COuaHba4e7OU+Z?wWEk#6|X
z`3fHD4uRqD4+vN0#}y+YI5a*PpL4nv%`9b{&DAksTl8_`pb1tx%|OQ}dz7_hF#Uup
z7N&aPS@gwSR&#N~^+1%e3BoFlc^`gm9&Szzz`64N7#Z%(Wgoku)p94C7tP(f5)+(5
zbntnCGMW`i<6o|ZJLx|LVZ(1>_4y9axZMDGfz@zyM>*KL9fj%(Iq>6RCS12mg%;BU
z7#rOVv4U~XJ#Q0yy0Q^QM>oOocX5E6&f|J{JRI^&=2-LTkQ1~Yc3wFMe~R+KcXA2n
z@SlRn9p|8K$5qG^tb?8MccK468?-#>0iV5ZLBDYr+%x`y$_gQ5?~0>nqzu+;E8#2&
z4SXY}kG~{M(M!-8f44hed?dwNdp$7B(ieAI1mM-E`M98P0nWM^h80J{G2bv8UwVXM
z$d~!JQ!4<IhJ3JSwJY)(9WmX^3L9Qb$9W2B=%pZw{9Fx5+QxvH(+^ap9i|1b@YCx8
zL`xipMJIEhPbLHE+!DYcFcvgiR>F|#BKTYq2GcS_VD-shNVpgRw|0d=Yu`fnesLMR
zZ(jq2hMS@J<Zh@hNQQuw8IXH38=ht7!N~ig(A#th5-l!3nC^AZK7+8CZGlZ|pFqHs
zSMWOL6NpIt28k>|R1Fu$w$(Bic~uF`xOdH!P17-BqdERou){lrJdAnmhU0f<qmN!7
zUV0dUIt3AUasDFA>0W{-ek?`dtfi=uvKS3oBe7uR0*s9gz?uPWPf#Z4VsC?8TsE&;
zlp6lwlfj}JLb$ewt2ah^Ai3iXG^bsHO%BJwK<FU2zfXp?TbsZwe-YT}1ww|hCz$IK
z$o%5~k7mz=h(~td?PCvNyJtbD0|n*z9$;|M52DP1VNPun9QI!g4!v=ZP?Z4h)~Ca-
z^9LX(CJ$~@m%z=8GqC+@6~_*~32U+&A-$s=mfY?IpNJ2z_tZ}aYZbtqYT_t!O9o$^
zP{!1|TKHm`5$@b?g(||1sI%M!mt^_ir=UO#JrIhUL>J+TearFq%T;L8&anxMV$h6T
zhu>q?ATe5j=RPgM{~j#B#IOEnljDjdd^53NzY!+pt76n1DO^~{hw5A3!Ap+^@Mdx~
zG)Wx?zb#pyRJjvQyDkEY3~wm0oXPPh4Pl*)2Ha^@gnphJJg||0n_)7rdbu2&o2m%Q
zW~hSgA#HdkV+5r+Rxm?!7N>V|hw<FGkZ>jfeiW>Nl-RBCup|kpllQ^t;X`0NR0NCT
zPr<F~i*PpoCit7*1<|C(AW--cN_KvR7Nc><4G_VcO;WgeQ~|s0X<+UL13czxg{#pK
zwOrkhzuXT$Gz6pbvMBVQvjQF5W3WeHGcF_BaO%w+SYWdg4R>$HQ=8&2LVP`D`A4Jf
z>Tpyq@yC^}6xZFc#FvM)@VdDSM)7kq%~!9X;3W61)?5Ld9Pek<>+O)eU_M;Rw}be3
z>Y%PG4(cl3S)%fS^>%G#ol6>66E|Qvgcdt3pn(lr)xzF0?_>w;U$J4fU)Y9s6D&_!
z6dbtR(SpcnkSMAThKnpgZ@m-TC*E-JRWO(=T@JsWZH5^0B+wV&GT=AnLj3*`u#KvK
zH$Sh!=0&%`to$M9_VmJu@gZ2OG7c@uldxB33g(~Y_RC@&j2$z@)2C+Qwk#J6%JRdQ
z9SiWY=2A>%*5R4`TadlJ2d~XY!m~$HP;WRDSNu!Gp2`$__A(K-TkXQ6`VFXbWeF~b
z4#W^{uW2wd!-ZQ^@a<y}R5&>R|Jv&zZ14m;UYr6uMT4QE#t5X&34_ABR(8YiQTCK;
zEPG};k9Db6Vm-F<v-280*7e*TsO#a4*5&ONW{Vdouszbo?DGa^w&F!N>+o(XTkg7#
zP2lpmmyA`gh7WGC0&^d*V~6_Ky0ar}Uzi}6eUt=iMP+#TO&9nJEx}rwfzFe@@Piit
zp;GH$hH^Yidbbyz?#_V?-%CI!{49KJxB-iuo8ZA)u6M@O@9EFEjCP$#xFAUe&+b#j
z19k>@dWSVmaNoW07C#LA5QhFMS7OP9IJCWzfRpml@W`D^9G}R>hZBczeL^ngc;(^)
z{X-c1Hw(4yrepK*cvRT87AvHJapMUdPFU*UlL`qGZ+i>7U9Q2r#!OI~<_8V0CxiW9
zB^#Qd!{*x-*M=ou<2C&;V`hi1V%`ewWg7c)nEQJQm}_2z%-dc0%s;I|jGaU#W740*
zv@VNdjB1xMsVf5+wdc;v=A|>3C3boY-)1GI&{UG?S|-SdSpVP^Ck*o57WDF(7kBbP
zZ$9KbOuNrhI^V(*P<p_Vz0$_hi+jQw41U2gT`<VAjsM2`xrU#SuN7m4o#YtcQ)iB<
z7%?>`?U*CC+?j>R!Hk~HDkk*KZl<_3gDKmP$829+#{AcJh1v7{4io;go3Xg{iLqHF
zK&;HANsONwxi@4&y17}DweMU~&T0LZH0~n*?(HKrVg+PnJ?GU^zDf8kTggh(H>Anx
zH?gb|qkd}?Y4<#RTD;DdI$iOgyX8V@(~7lp@K!wS_?bcH8syR)<40-DlrvQK-32N*
ze3f1~e1jfytDzFRu2GSJi?nO?Df*h^(+@+bbZF;t8n<#5)nH}l$d5MiEjgLEed8nD
z2ClrQvNP<93@vz|7Xkm>NQSFBa-ex?3GA&XgT|TVV3%J3`P(aCW=uI`4V(tyS*Kw4
z#gh=cwG^J-IKla@PC$@sDRldsgjA1HAU3%i8aO{*^1q8PX+|{!*x!Od*?M@%HbW2d
z7@q(49OSONgDs_BAvA0pR(%jc=_Cp4UoVTp70MW|r-kM126(^70;jE?i4GP7|K9Sz
zkgtARu2>K{p9;h5rYNrGwiI2<qOpo^CGM_Yft?SRW4!zl+<PE`W5LeH_&8t8vF6r#
zvmFX18RMag>ezBh2DelTVPL>8{M^wEZ~blqnR*^BO%y_|b|#dG?1C2E<si8-5d8MJ
z!thLcxT9hT>{DZi)i#9O(+03d#|RV`n1Zsr6-*e+gpybW%AR?^8?U)=yebUdh)2V<
z0Pbvbiw6ixgU`cRU?-jj6X!}`0q1$UQ*{ZRXx74WyC&E@{uo@gyae&`Pp~rQ5B!=Y
zjHY)dBiksC<+9w|phOSH!_838&JII4eHh;(PdvkEfX~fefXi#6P}nOP73$Vtbsx8H
zZ`_1&Bo=d3H{t1l7#umY3YQx!!SLG)FeBFwzrUyWO_Af~ChB4Ke+oEQJ_(cNjzIdY
zCty0Ymh&N&!SC1EusdQG<k&}oiiIo4{4@hwb9HcDD+3u+l*_XcfTN@1tg!K4wl8ji
z)zK1w<!K`D&VDlFNXfyYeib-yQU^kuOd+<+4y2ws!@8$_;C40)B*Rw1_K_{{8<HSf
zG83u?bD%Z+D3rx=83B%$!RKZj@cuQ!x+&dI|Klx)UjN2rzzJaXN^z8ulf$1{9G57Q
z`|K{}xO9d+YEc)g<2;#$`oY+JEDG=MS&1{^H(+1LR;;<T3ym+tqtEsPRMAY}v@?6K
z(|;SsHCm5BGnV5Fn+3Qr)Ek539MGiC01aIfaRP*Ku;@Ju6yF08jk9nm<3G6K5DULM
ze4yyAA;jI51kcjX?8>edmXFJ`X?j<}j_%1}4KRy+!R}|@pU-B0yg1Aj)t0bnk1JU9
z+t=7{q>(k5_Jo}<8DLi~`o&6zh`_V`Q($t)G&l_U@S?*C+{zeecJ+norZ5QeTn$e-
zo!N%ARG=Z*+%r)C9f!)eOv5V3QK|#yn=K#~)&rNhep7MXZ|L$AK?znGm$1s{<)Vv1
zj5+Q(=767l-7#7>08_a<KF@tCF|armfA;LgqR}MOJ)edh(HS^xXdnI&&&0#U890)W
zhCcTbaqY{kc+PGmdddakQVAE#eQ1i?m6Y&Bz5p7$dIl@qu7a!PK?r%e3_doRgMzpK
zv>v|BYChh=-quxSjqjA!4gUIGJKPdJOUAU;DSC*Xw_k{#cYo_$r}koJC->`zZ)I~#
zta;ZQ>hk`}tlRglwvO-eaNU3IvaDE%2^${n!OHJl%${}H%}(;)&))x7$hJvWvSv?f
zSoxJLY{r}CY)H%(R=AKK1g$1RSdJouJ=1~7+LkaUg#mtDf0(Qh1<6M?!u;?g&Ig(W
zfzAc+$N4m<thx&7tqow7(g`u#dCkZC0beUo95^6{&$t;t##s|w6ybn1*F7<+gnOpm
zEXQPzI2^ypc?U%@u%<p6<I4|Y+tNbpE<TDM#!GOIT?v*+7h!qyVRU!P!j)Y~*z$25
zUb79vyO(Y7O1>h>s&XDu!&~tAT{^t0wFR5yZS3K7%Iu08vAkKr(ae>?D@^(2erCGA
zAdyOzB4uV%Nq?jgu^U$+!uJ))hgDNaOQ<Z-7LX=3RT5;ROq8sa79o98gh)Vx0J$?u
zfJ{yoAfXopNm8va5v>*_LnV{R(gYb2y-1O$d8(6Hj6U%XFel%#?1`wb8@bmwmwXvq
zNNyy?kg@sk+&RSM{!Psx{0mD+)rCs(SosE7eBmw;NbDk>Cpd1s`X3USFo`-F$<mI!
zYIJI$A#Dw?<zAp&=+Vfz^ug+dRDb_k`g+?An!Y-j?k&uqVUpR@V|xxQ$jhUV(~i)x
z+xhfI$YCl1|IzI~GN`+1B5ioLjv8H`Po)ZG(Jk3p^h~h`?V10SY#%+taTB)_3r|xr
zx#9_PXxm&S-Q|~)`>me3@*^Sa`!k2w*XkG84gJ6hjWx4XN)Or74Xx}4#}+m<<qj(t
zSI62^SF<1Qoo5XcPP5mzwW_-52>a;uA@;+Z1FZ7HeJpRqUUr*yI@`~e&W;N0WpmB<
zvC4^A?BK*fR=FadeZRMaRX=^2jg+inH?`bk4~^bs3ky5hxxM}Du_xcz;dw$J&PqWM
zqXKSU^kL<DYY3k03eomKpwJl&avnQDJz_7A^Bi~IycC}Ossf(DZBXib47*eY;OUgV
zaCx~HN?)9c$%EP$DaB<PDiQSK-a`VnM&Yw<8?a%10?Iz!i+;ifady@be6Dm1SMbWv
z?BE%UDKE#Z`e!inPAPV*EW+yP2l0wm3Pu#J!J*3>4<XnPRfHzt6@&ZmfjI!JXD#89
z#%VTQGq-lJz&d7~@pI<e8F>=)*Mc1DbR{;g<`RwL3&^r%5#+LWB>6Ebf@uB?B|Tap
zWYP2>GG%oDSz<GX(|!Aq5EDP5c-)U<Sj{0{z6Ow^L-WaY({M7aZZWxbdKKv$-9)<1
z?j|NNDdehmCJ7xrL~K_Sk!d%}NX*Cu@<Z_^NwK+0^5%7r=3TFe@%697T!^3Exh6(M
zzsu6U)m$#hH+`C1Vo8HbXVLd>JgDcaK$^HKlGd+XNk81(L|;1YqI}mA=@5S^o#mZQ
zZ5QpOhgJ8|TVZLmUm}@i1n;Il3O7*w8H?$&>^Zc@-HA5;;uxLt<Y~><f24c3n=H@1
zLNa$ABDKzIh|WTL?z2jf*ULJYB$Xn@^<pHm+j$yu<!&d>drmHIX!%0kLOsIU5ah}m
zt6a)EmAapI&asN8zUdk7g0C>+bX%QKEw^XRUkl<UNgJ8|kaWiQP9C%E{Aos5?>ZyF
z++*G;K4YRDeqst6_{d^g2@)NkK(3o}eCYu*a_8VIBINHw&e?~NjT_gHPL(}Gx^gc$
zb~1<f?mtEzZ9PZKcibc{XPSwF+%xjv!4Pp6_($Sw#OY%5sT_Y>ljb;^(tDl`bak%>
z{o2Q|#<Z7G-xV9_G|PAz)s;$*4Q0|trUz-@+{1LQ_z`L^T|k$pAE7Fuhv~el*)+&(
zFI_on4?S>l1?}e;H)qqW>D9@~G;a70=?-fmIk)pkhhsRGAuU6mkCZWE+GD&cuZ`*g
zOHJ5#yEL{xzJe{=cbjcXZD*^NK4lklK4X8n_pqJsJK5mshwQUWO>8|2>~#4XEMIFC
zTWVFw?u{*DS6(~DUXm+jV~-TD%>hT)CvHdBMR5hJ@jwy#yWkkRCAW<2eOAe4Y`)BH
zUUQ4hdeF!!ls{rW%D!apYky&ne*4ERm?sAOm$<wK0}Uu@HHOu!Jv>zOg8rWipfzy~
zEQ*PTT?PA~sXGsfXc_0%x(uq{>p@^+C#3EigxSX9(B345b(}V3Wsf#$->|^g^$Zq%
z^ur|4g&30)gSNWyIJP*QV;*K>;(<KWdR~lMT2El!zcTC;KaG>~%P>3oI8KW!!1-C(
z810md)44bChx)TITG|+)Ukum0c?@<L`LHU<9cEs9%r?dK)~%l*!+di%&-_^Om-%Hn
zjR>*kWXT>Uva+Ast8KiA)jl7>-|9`AYduNxh#QwL<V<EvFvMb)6R9b7Bx)HB<kKPt
zj`Qb8-Wod*4JSfOces*`U%be}6LZMoqaj3NXc2MDTSF4gZY9oYN#w<u3_=7Bk!>@I
z$YPIEWSv(PS>eX%BR!f)`+{zAJ8ghCJ^jh?6oshqUrD-()2|*4)TUz|rZnf=Oe(*|
zl^QOdLp7F$)BhY+&^^aDQ3=o8v~ZB~ZhlDP_=g#^v^A3syX~h%=9!dl-CnxndopE8
zcF_*Ub=2J=oQ}$R(kRZyp1xU?I;|6-_vgMQYRhWKr4PA8x@Q$xw8)B7?hqjQ9J}XR
z;c8|udlHj*J%-2k=gh1#nd7zdT|?^r&Pb?hT9;Jk`*CgEzCFA;lf!>&lT$rv6|yEf
znTY&#T7Nm5m-+fA&sVpN_w5rOb7D-HIcztB38<URG*&KWlyl;lddn<E#k+_x{Zqjd
zFRNkpoNZ=8zCUA(SA1sL75O>;wFG(Uph&iz)gck4mL%#KLlU0&6G6I&BrvgL*Un_J
zxa9z`(&l_TdF6!9<vN*gY$Ah4xV(amLuBV#K00-S1dZ`hq**_8==nHH>R!Xp@=8DI
zIz5sW|5{7!p6{YjH&SW5ZWgt8pF{hv7SMQ$5<30Qak}K@2^ynwoU(t5sK3==dZas(
zYFj4I@BUoYd9D{-6=y_49VF-(^&Yak_c)hl9!c8P2$KTo6->y+)LI$)5LPbt20QuI
zC_BAX3LNCs;Gu**guFL`nraj13p9bUZAKtpHytF8=)%_(TEMqO9en>x14~U6a1rKu
z45$P?(aNw&U>Y#RY9LFrVC{$=ytrx1^@FV7&s7J`$L9jV@qRFUUMSG?XvjB@gI8S7
z#$PED6kp_m`GI3F&*3aIeZCGOHyh#Y#ZI{N>@8$_{)9+AVayPcM#GEBxM4yU_1;?G
zlt3r+GxNr^0l}EU^)9!SZopFK-FTAYJd|_X(GM50@ZGonu%YV^229IA(ftQ8RpJ2V
zXYR$5T8a2%WCOyjaJ;$L4IkV#!O(g+G}-+FMhEVK_?II1)364t*BC;p#Y^_DTml=*
z-(DwlEZ)h}zKfUVX~vkCgmcWAZOkd_WTrMJl_?xfW|9}gGu;a}F&F3lkD>Dn#Ig(H
zxMUYCl@+0FR#Mh;u1nc8M4Cn-6_SWTHrabiQi+C&Qi<oBqp6+tl7^P1>TTz}KltG5
z<M!O=T-X2q`}q>By$gu1h>%XIPjIgqad(y{UN=9B#@OBzJykv~I%L0HlyfIp<n8Dq
z>eR6iB|KLVRjm4ICAF%}s#PJ=s%s9hn)UIqWmUpx%hD@vP96Q#-1_Oy$TroJE^XR3
z;@kXOD%+Y{o7;MlZ?t6%e&06hzLYrV-3YPdXI(L<&JcT)*@@NbmWj{CZV>w%N)pdG
zlP9*)triD=JtThT%f<6+Zi(mjyb;ehDnUD&73mZ$4JtEApLSfZq7rKt(4SLR(=e}C
zYNU}x7fM&s{Ne-DQG(JXkvHif^SAWZnE_1g-Vk;nR*S{FF=m_W<}mpiOW4=;4eXpz
z3S0NRkQsUHVcxmNnNRa2*7f%(%PRQACf`utbLv#NO4nq5e~SfQA3c{pyRnk*aF68R
zo66rk$>*7is|2reJzrSXB-~?LdFzFCesbwKKF#hN5BtV>kK9SF6uqDK9VruXYDxUz
z%_ZFW#3Vi^>=PSmS0tQgWLR8!r&X5icM>kQ1g`t!LjCQ15FXYBkykq4o68MQ7Fe$@
zlJ7wBm^+XrWb^ZObi#idufyY@s}OzmGHls(3AT*81Yeh3f}lm0VY>QNIB@VfEK#}z
zSr+%;{nW>B{@pW}<^M+b?)(IW5kKJORtZ!aB8@UH<?+^UCG@sa#`kTi*emeTPJbVV
z^%YYvPR|&x=gq(ef=BR196@qxHdYqe;g~&+c<hZcI@{01k^AQ2k3TNhXX1=bE)JOF
zV1o~506I@JM;VLhIJZa--+Afc%nNGx?aweY)t5)lcnOrU`vfZjx?$n=8?bQ58R&g*
z98L{A2oIZgLB_=jkg_fUYo%N`sF4Xdi_>7?fmDc>Ooe3IR1o=XgJmx1Q1DS;k%)5P
zwoxJ6K3NL8Zf}SCF}onUp&nHI4#Sll$Dwfrg;`bS;idO=klb@0Ox8RH?fviJm;Vn)
zzBB+!%Vg20R1qcF2;_nX_p0w${C#!;E*xWkeeToo?_x7-9!yZ|HU|raJK*dIE*P|a
zK5o70iiU!JbMgu|yy&$MJG2+zfgLXR;E6qIe6hypuNJsQ&IG3|)5Eu#I{0Cm3W}~N
zVc&RZ{Ji-)Y>)1N;<8&HD|;5U^ftpGPr)s>PRR2QErzn$*&y{T749h|!kW)p;mXu4
z;JZHp%Jm~)MrtJ3<VC@g;c?(OJQ3PYrhw7EbkMn*10X5_HKPjXt=$RkyX#=&#KX{H
zbOII%%wUbX9WXxfCVZ@U3<Eu0Lv;QZ$Xw75-_A*+rq*C=-8URneN^$M=~$ejIT24t
z3r?PUCirQq1-3jweAQ`(Uc?12{at|7uiY{B!D4)KXenAaEW^v0OHpafV%&Pi4R!9%
z!+>}Pobe8EkhK{)9W%n_*zxG~L=F8%3`MqB8ZQZcPs8q~z-L^8_Q7Jv$Y}t2ry87k
z3*qa9bkOig5SSVfP;^${1CRFuOAT)@4O{__9xMmTX`b*~cwcot@q+=c1#YnAM!<7X
zFy~|fh}5>h<pJ5SKd2DwR#ZUPjT+Fpybu1)YXVE}Rxpq_2hXQnha0~hz>*~|VeZ^M
z2)O$XI=@S!%lX0Bb#nx^E32dHRvj!FFa;lHOvOMMGqhL)_+ptIp8Mj0oBmsf8G@hg
zPVNd+xbBU2F0aJpKEBu;yb@!(y>QpTW!U@B9nIqA;y$qruI#YD$z8@ca`t%4vKH7k
z6BW^G<^Zhr>xHRRx4|Wd3(W3A&~~s2Vgx4bam6G!k+cz3oLmXko86%z$_d_YoC6Z0
z0J;S(Uf(PcxSIiNe=!@h6&>JJ<~&$z;{j(iz2TnhTKM!e4EXvuXnrO<7q_yY+_ne~
zS#5`L;yvJfr2!^yI05qxwF_tQE6_dUJ`|Yuz|<jqpqJGT8}G?rn3)o8eLfOPu8hHz
zz2h-o-w=JHO;Jbi7hZd4i+y|N;?dvkxTtP9PKXkG0;1JuFJ6n!&jzB-q#z7r>yT~=
zz{l3UxZiL&uJl-lGvC{z?^G+S2{pzTIbD3=G7^tg$YOr#R~V!A5U9^-C~Z0j4tC`*
z!7L5x)x#k^XgQP_*h7utEHD=sk#%Anm~>qOdNNd@tx^U49aDwHg&M-MKNg}-Pk<F|
z2C(VM3^08xf+3IXq2csGu*mX)o#uh?;`(N=)=z@44;k=gMj-?$Y=_{mT4;?v4Ab>b
z!Rm~2Kx#T6D&h%D8TuXutp5#{9Hg<uQW4WLMxvXcCazMQh{=}5I6J`%&97PGrUA~V
z@W~C|tzCik7Jj&DTp-Tr*??LWo3QCcB(ARAjDP1wVn}NkMs)|{m^1zuC$N-HubYoS
zt=71+YdY?Nap)!7<G!X!q3PDQU{-krLf$vRpsVGe7nTh5ulztG%@z`J^ue@hG|)M+
z5H##R;`#6evHb5o`5JeN95{57<XpW&u30}OZs{*cu6ZBn_}5PcUy_CW0Yf4Af-0PP
zstf){457o!9LnQu1rPH=_!jL0pXY{vzET{FirEIqv3cOHT>(SZ?*WPM!?2yS!p#R4
zpl-n(Xgc@;g8%yh(^MpJWP<{hw2VNVS!3{z#zb7URABTxw7~xog=fQP0m?NlLx-Dw
zIAGy=T=XgeZ;4{DBt8LagOhNnRWc5|n1qVI67bvBSj?Zf2{+GPi!*zd;mi^z)aWon
zyWtb@v79nqupEHPmv_Ot%vPXv+rfTR0_+{?2BQ`9;J?Rm5N$5>yn`A@zfu;NU$Ta%
z9kC}H|C$gdJAEQkp-;RVOo+=%Bz87#L^5nGv3L+qJWl11mGxC*Z+rupXiSOE!RsX8
z&og2@`9IR3D-G<#5D0#*1~Z!{K#R?EsICJD|2`M8oju{h>0l_cii2Yp(ja<7A=Db~
z09(ENkfnA4LKM#lyr0`})~W}76#oZD3#D*Gj1tO9sp5li<8bqBBOEAgi3a8Nn6SYe
ztCy|BO7-=4)h`N<tWU)3oNd^3Hxq3Xa#8nnp1{M(#}(&u1zuJbwvcVutsjpyw?nWb
zW;yD}+9IEAh;d4za9QXdF#T~AG;i+)aZ?QJ8(;zby#t^#e>a&aG9=m4=80aPm?+M>
z_E?-Nt3?O=w4#Ya=Fyf}?zHcREA<U_q&pT{(V031)TURBzAKQW1(~nJBl@ZMtx=iy
z?!?t%pKeX@&D^H8N4m6i%2jo%W5dr`t)&{GG3jn1r|@J^*o<n?$tx|QvTe6TYa2g_
zwmZv^uye|!{i81F>6=d8{+>fV%<>>b57rVJg*YOUlR@UFmJ+RwJ%S-Z@N7;xODree
zB?o)olCujX;Jp1{conJ&s$V9;miIFuEluEG_brDziv+*g*Cg2YDGwAatKsCgL(pi&
zq0!_P*#8#T2Z#H?an@iwTc?Vl#*=XEwVAj!+8$SHFGc^7Ks>oK7T1NPVa>066pyUL
zKdW|QR``AlKX(}Qt~X)Q(4!cpb_9Ry-G`F<t8w;{0=#ILh~qE%;3%;<wyTdoP1pM{
zn&m;TtuAO>T0k7L#!`)sJ+wK@fbA$)!WN`&W=<DUS>vN@cI87pYwRdw3Zn&niccXM
zs8Yb<^7EMb$Xqu0RyMQwE-*tXvzYn4EOz-+HnVgUaumDr8EY<L={aTW!_+D^Y3D8`
z>aJ%-eTUhA2PfFca?VU=USj_pxy|TcAxCQeo=x!m#fBINnX-aGe2LH*ib+xD+7jb<
z*C~CzXU_~ibhn6~F0tdEmd@uod@)~9;?2+PUd`X{58`(ML;20U;e3L21Q+eu#9b7_
z_|e(x`5C(aZeZ-i>-F4tRIDApm}thwS54tp%+-1E*+G1>?N4^c;}N?%m$MDUb*wxr
zpVg^uWpN$L*}<E@K7N?Y)}I{Bez(grdA)ub6!DqnX1o#RA}?v>>sPez?mKGO^_7~W
z^-~{_3|o3ak)@9w#YQ=32}YI4tl`&mW*tsg(=jJ@^2}nE*x=8mCWN!YbqTC%bOv))
zEfgeY+nJX{9gFze$R-Ipm$W&T1g_0Jw&3YYc4FXvY@+NyZWcF)k6)|IkBG<c^o<kw
zip^8`ixvz1THRKdP0r_myO#20t5<QO<RG4ZES#_17tJrp#q;&T4k2%IBDeUMz?YAV
z=ig}*uih2POMm<G4N6P6132)=!LxYlAA!*-<k&Vw4d5xGx|zt2vg*w{*|p{r_NK~{
z%_=ozFD8s+Yc7AGq16}Y*V4W8QA7?^lG{rE(_2f2gAdL1^PyFL1885}Cc2_V;HvcH
z(9v%zX*2GpQRiFe$0e8OxR;M;zTZcx6Fh+J+&_rz4j;wt-xqeBuMJqSa9_=Ew`W7T
z7csA3e-^AB!5+mYu}qz8W*=M1e(l}GE(lrGj_s|iF8v}KpKzar<h@}FPX7}8Xfk}~
z!lAr(zZ##GKc3(GWz79<T5^j44*ZIjJ2#*{{J^sy{x^0r&(uobb&pf{zxH&#ttgB4
zsps&&+Bv*FCW{v<r}M7vBrfwNiko~}%W<6t@A`(k)I*QkE>-3&(Z8AflIv{7Vj(+f
zmc)KMv1eXR!&&2$4k{WNL)#N&=!<a%;ve6*)ykzgBDc=VqQ$BoMJfk>i)x&{i>7?<
z5q%nPNpxAWUUX<<f=F`7RMB~pqgJpu!Mu<hX)7EsP2A~`EH<BgL~L;Vk$B2*DY~px
zmEKP`qF?sf(4W@JX?V^?y69OlJ(8VIU-#~yFVz}ovZ#%ojk-by|LUR}pMR#A(*`oJ
zhY|~kQe$^cPGkX7P1(?aw#?1dgKe={%POT~nfsG;ws&3$Tl8+X;KONRr-z+k1Fqd>
zqOot-xH13O_do?+-ze-QpXqXy-&478-Qpt}=JVj8K3w#C1J4MK=aN^``05*Z{FPoA
zpPjga7l!WUJ974N$&Gb<$mv?X2x_=&XF0FP$>l@OCi18!Yxq%r2OgI<ktf`g=9WJ$
zvU}5VnC;H#>}+lWT|9G)SogLYIsWnrIq+dH%z8WtK1W(YysraXAGrY5-E$Ls%<f>)
z;s*0#Tp_1s9(eC`hFf<WAU53&&I+@*lvy?)+F}FMS8buy)&Wj`bcW5h7J$b;57@lP
z3l`W0z>LUHI6ZnRj3`TnF}<1KtWX53e>=F|-V1Ar8llBe44?Zif*HLBd-7hvx~<>g
z`y45>U#f^ze@5Z0@!B}?k{%9vWQs4q8td=7U~cpheDZY_YDk9Q4Ua9Tb1fccv?SxP
zliRSbEFGh!WT3lsI_8{7#q!;WxcO!jp7jaBO^cV~9dJM;YJz`~wD9(91>9oQ3)A2X
zr1(|Cc~KlpG_?m!O%=G>|Ad6nDl*Mw5lLApOYZfQi>~pJqJVogR_sG>%axF&t+n!}
zEPB7%T79kQwo3VCDXNx87s<Gu6ixB%6}g@oLVUMPA&&pq5Urm+B)?=Ux%wrGyp`Tg
z>Pim~sq?Mm#-S@@Zuk@O%(9Qfj23oSrxbx{tAecWc(_+K4I-Wa3|uxJa&&#b&~qci
zlq7<rXEv0LDu<u9YlZXKQCK8C4IhTx0yowJO%H!S^hp_1zAy|mD#oCZ(G>LEG85;m
zwZZnM3(=x^CC)jx0e@S@Vf>0zeDfy@Pu?y-sq#|1{a*zpmTkwUrrWWrpd3@Oi}2m}
zY_y0?Lh<Ddcp={dkFBu4wF@-ybH)I)9(@_?XO)4}G!K||LKYt0+(xR)=ZPjb{uW1_
zO{6R1kJEtWNA&yeZ`9y{q>vGoVcqU>Ol^-WQ_GcR3YC&<`09Vu+Wk8nlKhFvFMUhj
zX!g(!g{QRKri(uBeMDamdrSp60sTAT8TFBRMLnwD)7;PB=&1n`?8j$m_V>nMrgA`;
zl?n{5{`iS(!uDy*^RtMh7do@)LME|5KaiCy-O65$OJg-kg>1s#9ZXj0Ad8uKiuLWk
z$kv8GWKFg2*|<6hVQVpnU#%R)Pg5Q4Q)9$8%(UW*1DyE&;Y)d*^ct?+AHgNv6Zt!r
zbfH(0%ayf@`F-zl-ZFB#;9}g)^Y&Eo8FFP@cR&Ges7mKPqvE(y>T2Ey&fFy2h>vs{
z&NUA8vd@am?6Ba?YL1)ED$m}aYfew5^M}ZYzRs{FMLVm=J*ms2wXc_q-7Eo7wK6a%
zK_1Eko=<qT98@aG2re8+cyR6?xqsz5>9YGwO0#;2*3*}yEA%;`eosk#XEzDF^i*K3
zyda|d*W~ZU59INn|48Yoev)7#4Zi0GK?sh3QB)nCx{QZie~qBL+XB)DIl!$V55eiW
z8Wv683~rbLM{eapmtQ4(k*$aJtIZI4^(=f>y8~|LUqShcU*N=KQK@q{2G(h!J<-FS
zj9K`0i!F}&;D$#}`l3`#D6TvZCwNm+@uz(@hR7A7bVDf)eN};{e72**tx9Z?F30RU
zh1hDJh2xVF@!LUx!Q$hNUB+fuCejetlKrq$d;yA96@$etSNJTF65Ke6WY*}JBAFZs
z8r+pgzehFG`IjEhaVx&i@wNllzM0ajZH)|jQ6<fWMh;|SBPCe=kY7~hOCQ~=_KpU=
z>Y-n1y6OFdM^v)mJ{=49=mqC{RPxz<x>DgW<yW85nwhVu``k~od(1D|eP5Ez&Xs3V
zEQhh$H>&JQtuEV@WXM{I%-NNXc5L+iMJ(l+KVwaiEL$su(VMw!R9YpQv9O*+*&b&*
zBF-_L-*;Hni`Oi`<`4T+Bqw;rM{whtTKr_0KJQa8=NByP`MsV+{KiW^-Z~(hxAw*J
zw<FW|`U5$9NN^E%RVe2!`rG;HxGFB&Dm-ts<-AO%h}X`@;wJ|ua`hiUyrs{TFVivQ
z=Y_8F*0}F%a4uuks@crM(VEHhzoua6OuIETt;!TlNMl|Fv9P&JCO!T@#6Kk=;)^^e
ztyY8=W=fE)uL#E;D?ry3S%~$Of<Yf8z<b4S61D3aG5h|Bh%?`luC!iqUcQ$M8T*dR
zdia5~+kPRB0)LXH`z0VaO&V^v4+1^a;V|#9D)b-J0j)B9c-k-%o)4G<E_)Zi(`Ijw
zcG>{mEFL;fWx%bvVpv~R11Z&qApS-hbdf8N_wO<2YkdNrdjrtiYcQUx9gPJCb+J0o
z7%OjE;qB{A_}qLc8axZYpri=2f0=;$>(X%F#T-nND#Bl~WjH@c_+Hbm#H-?RG*>La
zyV7|$UU*MPwnXEtqE(pF=YW5@4bVAi7%CL?!dvg-klC0D-|v{irMJ(?XP<>6u7Ft0
zR2eShT9PR})=0Y|J1J~=MZ-RRq5pOKq^?JQ(J18~)PC3(8eaB}nyu@hN7aSzurYUO
z&xPwWX2m7isc@dg^_`~udhNm)jZ?kr?G)#prP1~sH2CaQntb^-edgaq<*Q%Qpp>ul
zzmWsj=$mpZA$1sAVy!OR0Vc3BBc`!8ZiL<Z?80(oJX!yd_3U+eyx=I!WWiTTm`TcR
zHhNtnGs)-d*sxAEs{c9D5B|>H&XnP5+lFxz`fwvEr||7=v-sF{TV8zLoj*78<BuPO
zaZ}?2u6ihqPdJdvB_0>^n)el4B54P|WwVo4bystT5mkKoiBkUMYA%n7OW{YY!}!ZZ
zi@AZnIe&6Uorm50#R_dXv-izp(Z%NMrFSQl@)<!xJWE8M*G7{UvhBph^efT3I|x=*
zj0Un#6HaOB2>UJ_SbI+!K4fXZygUsU=b{Q9lt;nj$s^!Z%TW0DK?z#B6=CXbMbNNU
zg7~{b;E#|Axqg2noL{O2Z(eADT-*ehHNy}l519$;)eu_!oIzT02~<n2hWRm@K<8{C
zNa<w3KHm}u5T3C`HyecCTVZ(dMW`hYpuwOQUI+e#1%eB$pno`aP1Z!sKa+9TT2n0a
znvEyL^YO$APkbsBh#i5OF-bEKe@ds}SEFq7Tau3hEsL--zZj**7US)v0!*KtgDE?<
zp~mPqVYaaj8)MzDFx&!1rD_ZACs};p`53AX3r_L5Nzi%P3Q}+UBI?pPL}%S2Q8j<l
zcFs$VS~q#ni0i2|Lcg5$+}cf-MbuN<<a)YmMlGG2R!tAiFQZSV=Ftxg+i1349R2oU
zJv9##ybTLn>9YnK>T<xG{$4UwaF9->&u{BelS(bxE<1*vR??u4_i9jsOPW-5qYiyj
zIgvU#7}5jLrnH0r{aocl$$`c6ZOm#KXB0^#HzZTdt{j>jUO`7JsG~o#n(1Pfb9B|w
zyY$Svw=`n71hc&`h=m_jVU7PyU~i9@viQOFLZ*KiJLeR_WG*DK&4NSub#oQlCu(48
z=TlZOxRdQJc**Le{<3#%3S3rBh2L8}fkW2}KGD}!=wo{DwWe#i$%Gi*VYrPq9?j$F
z_sh8v*~LA=_i^dJhj{(GCLa2>iRZ33!XK~L&wt$B$uIX6@{oziJiy7H%ajl<F-(Qq
z%RFa;o|UtJr_))JK??m;@JKY~@pUpz@O?QIxI%p2Mp%`b4Bl#4(3p}33cCy7q*fuE
zOD%vkbMxWPm0bAXoCB+c8F9377JS;B39%iSa4tVfaPsBABFKZ5>4k8kw*)o^R>Gi@
zJE8v8UI=V&fGx?*&_9;KkkShf`o0rfbi3e``CAZ8{|<waC50KeJf5x?hKE~J@wuT6
zzIrnS#rLM8-g8TV4P}EJm*%3zQV*0_<%OO{{PC+)5N^;6Ma8yo9J(t42bM?R+=y_z
zGIj&r&RvVL_kA!(*8@Y3IAYB`OWg3+0LwEq@x>P<3@{bmqis*&jq*7-a`*rgbrnJ9
zg?Kpd)f=u}m<^>JdXQJ50-xIDVQl?h^1J>6aoyD;&?laf&e_jMY0^v5_vJmYQ2Rkf
zJ4r%CmOO}$4}-p=YM>N3PGDdg3VUL604rO_lV1p)`@O+&>Uzi*vM}>XQ(@kkT*$sv
z1{ZsF!LPaokekv1(P8IcXu(Z^k^U6shkSy{F%p;%DTk7F!p<j24Sgn#!=bu{IBwM}
zymj3g8|+-LwaNo~YJBkI=ymw)_(oh~8incAarm1jpzhs7oY<O(GVTfZMmrW$A8f+Q
zAJ(CMg(vQ{n1_D0BHS=rU&v#rqV@t=41e+#hK}w4-@bZS{4xtn)~*G|R|Mj8HQ;H+
zU(&w)Dj7U)ADQZzLz;wL=rxfKk(YNT%Qw3cx4RxBeZMam*A_;O%On%aHF>0V)($ev
zvVm-L787;XYb3<_Dfu_%EAjt65VrU#0rgUa6Tinnn!{Asw?YI*<~oDcjAdY@w+_BL
zN5jKqsi0z$2daG)FmB^ssJ+(&FQ;)R&lC7|1E0W;!jCYsP6B(!DBwpuW$eGIiR1ex
zV|c?1EIW^Ar9T(fH7&&flUCz;yNxKzx1x4M5*lfyVb38U|Dv3Ots`=A>y{jh)y+cP
z-`jAxR3ct)-h|!jR-qG{htdK&{Wa*INO}<FeRvI`Krys#DuKD)Ye40`KG=WkBMM#H
zNm2GRGFp@^QW>P%Hh)^Wc<#Cf;-V+gbeigLs*t2ik9!TFD%n!BbVjeZW!ri2+d<Xh
zvx$M?kdjeixsKSjA9;<I(j)F#?e-)hr>EOQ&A~@RGvn`zYU?G4bFnhXJT!^q=va~O
zTCQZ{!__1=V=H-Rl0l~2FCj&)d&u4PCUU{$G})_qiv-PkNhYiRBF1-Q!J=XWq(_bg
zhfG5-`fddckLH59ui%7g3WvhK$zX4i4_YNVAP^d0t&<p<Z(f6vug~Da`S0L8O%`_q
zkH8UCW3h=DV$W48VUOv8zDqpOIb}W0h>pX1lhUv^BM(iMlwsqHYJ7BZ4{qI5kGuZt
z!@Sq^_~*kOY<OFReXk1f?38U-vosVl^%kJm!4QwbAi>w#2@CBDq19{_?A&{h%vY|q
z+FiMcF3){I%eSa8nZdJI+jVE=nk3{1j;~~4=logO{nhMPk3UmxT*ZvLeAv}jp6smg
zayCn9DVtQWn0b#~%y`pc_AhWL>t3;fX%zaf8)~cB(ceL=pKM|iKgY7h%w#6>EQ7uH
zm(M)jmJ9c$T`b)BAe(UOI2+`An%!)@#*z&mv!1=Z?3lrC*4-`5A01ZWuOwA?`Zb|L
zub|I$cA0XgIOMts&OAQWgFD--<gbeYx%K2t{K&zrT(T#Dhvg>oS5s1XZCWa~NlW2H
z!;<(s)i{2AK{$VUd^MlKJ@~k{HoWTGG`{>lP2R2|%mx!avbPT}vP}c)*|UUnR^#f$
zI)q&74L1d5JLop`cC4W-x|?X)I}18hZ3I2>?X$Rk${q38wO7S<U3bLu=e!f2?~|sE
z=TxbBt1<mF!I2J2@uSHkp8i;uODCFDQ_o$8X~|(uUkBf$v%mDvu*E;A{u3FtXZJ86
zk2r>Pn@wgrW}31V-8q7LW+5{)^<~RT!x%Z7C@^!f*z?<^Y{{wJY-Ys~Hf9@TE`?Xw
zs2g2u@Z3*qK;{7cpkfeLT0DyDiM9E*a|WEQH0QlhcKqlkHx30W`OJwST+KU1=+`9i
zs>*bJbW;wWZC=3bb{6sL0ma<RqljzF&gWWcS={qwGT&OWnY-Am;_D)vxtz{)Ze*&;
z!?B-r`(9;(wRf_^9U-hWWHS4sf1fTM6F@VS)5NQ!LPQta$B<+Ce#FK(gES~qkV$)X
zkpo9-NlEb@;;?=v`C?c>f=dcWfOQ55-kU(i%nl>>U;C1foo+<sur1jL=0r8nh)g9D
zh<U4!>wBU?YIi7;q%XtBm1{$Z#gt)0^Ve`P+-wxdd#*-&evT!*F_TDg<W$n|)q*%n
z+LIT@+{wL3e&o>RO~m+R5?Q<_hdAU{kOdd&$U^_)WO&YblDOtRnWFukh&B#@-4TjV
za!L(ky(fbx%?wn%oWMfS3ye>Pf%Vc9Se{t`X(MYud1NEx?mrEdzwW>Yop)fha{xA2
zD4|QQI@&i+!HX5<I6Th@@5ijbe=|eSfyU$PEg5)Lu?Qt6RpA-mTH*ijAWFM8V*2l+
z__gIII!``=n`HN)gzFCc=#+=4v2iHrzYOW_>6o`?5DxUX2oVm6@E+yBnLH77orn--
zf6}b~rWJF~U(FV`C9wZqWU>(Z0`~QKF%#L8GLd5``|MZ3a9}Z;ys3~i^yjn48+q*W
z&^-3~el9x=dCbWzpJ{6qvX^zmY~uGarmR%Oq(9fN$3j=$dBP#~F{YU<IUr{Ln$9!%
zk{fKeFgxd8UojV<ga7%d1mEzVEKdp<!lyZm=9QbYxL5B){<g@N-|{l!A_Hqa_mLxi
zB=9x^XD#FT2`l-tH-hheYA`>m9?EH87%%=1#v{Tv^6$^rb4jDM{GRtpURb`EcaCu3
zwn7%yf8aD;A@s|uCMff}`T}>>^*wuc`vzO#d4lE4*~vhh$u67@XObQstXN9K4n$98
zEz4Bdp6QBgLV*-}FzO$53;03(mVc-6j=yNgJPB6$QHpKvRA5}-?VdQV%4&D%FcUX@
zw(q(rQypc^iYLrv>2k~1h;sofGBASON={@?A7rqFw2(2YDxn)!$Bvscv2~}#?DXhM
z%*o;&8*ciNNhy6}LwzNAdxHWWw|WF0oua{W2Tb7Xq7gT^V#Yh(&*noE=JNU9Jvd45
z;opMS^7750{F%pQUUX_JSJR8<Pd>zR!?bvTiyO;T9&YC27jNLW+@F7%u!N6McI1V{
zW?b5M60cc3isv#ZetG397Hn~z+3v1q$}%}@u<3d>;kDqbk{Hi^O_3M4_&ro=>uLJm
zpndelGQkHbWcp8Zr_#GRsWizxoqE>fQm87UE@yYs*po-7+;m3w{k=w~{nt$=$bF%A
zM-F7qrYbVmuF=eVyspr>F=DGuS+I$Q4(w#S2aCGm&#I?Hu-{9P*xmLlmfKarEL&^X
zgmn!p^H&SA*?fUHe7nQcqh7Lq%HLW4Dk;A7sv_?>BjoZ0R)n|6fa?mKz;P>uuKa@e
zoY^hsc}fBNozF(@^Erk)9!})PcBk^b9YRN9T_#_5CzA&p%iu=uw(-a7lla}DXx?TO
z#1-t8@#%JUe9VWbe9w1vPBdirKj~-ed{7H}3&m{9kU$nR$b=OqOEDX-7JA`vI8Bco
zP8$zpiw_%aYuo)~yVZrq6Gd;U7l?LWau>bLwiHQR7%UoLQfd`9CbT7^<X~IniD_c*
zrD@_D`&z`B_uh%?t`DIzBPUbKHM42pi4{~nC6d1Un@0DHFQtBWYN>@$Gkw3{9KE^n
zF1@ww4c+qo56$S3V^JfN*-gW-tjx)PwWL@uy?#fgaAz57HVkILqvP4E{tVXfyo8N=
zxSJ{bX=GI^+S$udH`!284-0$sgJ}&H{1S1)`7Nf&6>sSAZF|l5nW;iAX@Ljd|G=N$
z%-+O%6%z%fS~}mFkjF!Jm+)_um0WRHHP^1)$;}mZ^2dL-a~IE2zRpmXAyy{yEfS$z
ze8incZ<)#8SE}&t%CD@}^b|W;o5FOYjM?Hvl+N1nT)h0r4bj+h>EuG|WzypOm#k_U
z0+z4Uz&TkPPSuP9FcLhOpLOA9mNx84(FC(O>HsP#kc%VX&Bx&|+HM%^@EHmc3x`6*
z<Y5Afb2w~1G!n{!RiVH{6AlV)J;g6mV9MWVpfgR#WACs9$%U>^<mCk=_kzIjRt(f1
zO9hwZd64_A0&a%y1x>l5aIuMlV%l}^D(QyWcb{RDqa;>44o3E46nZVt!RgM1X#T()
ze+W7DBs(DkbY~^%xP@Tl#uzN_O~R?$(ouOq4kk$!pq57wULIVGy>AQAq$3Yk7iVJr
zie!w;i^M;~7gwb@p|9&SyppMcO|$>O4Dl7%d!rh@T?zrUfm7hM!$WfaOAwi|q(qdv
zVV+pyp)y_Hyo{!MrqHiHi)egw6?KZ*NkisW(*t8F>EIhhv}sB<?GxrYTgPsp+4lqJ
zQ`5z?u+*Nmf;oM)#DG@*(WWn_tI**ChSC;Kc{+2p6wR%Xpo6>rh+{>+#p@jZh%bNc
z7e5#=kY<L;(iUY!y5sK%s&Aq}r=1>83r-r-4O6V>Dg!5aylW|K@Cu|4?!;2d6X|sQ
zp<){IeiseNZ=@#e?ex>`TXgm6*L0=DKRQf*5L*|c!m_4MWGx$KvL1g2_S$R(J2GY?
zJFqL6DgDT275jFwV-Jt8u?J7H0KCh3Ti!7;Mv}LEP~sVnHMs95J$`0_C4U+2!atqy
z;sLKi`Ifnf{1IgF4e}-Ym}@mZ(OAbz4;<o4jveJnR>yf$Ycn5op^;l^@8_NucW|qr
zd3=&`EZ-}5Hw?xa@ja7dxKw`|J2N+s{rCETAizG_I#l8iDYw*w?qWCCemNS>?8pRD
ztzzMMtN{IiJ7BYFHN@WA0pv^-c-w4;f`b*%WKj+wT4fL!T?#5erLaz_3^eDL!{a5D
zuzu1GsAM&8Yy4g~yz~Ir`ZR*K#Yrf5%fLLO16;3k!W_xRkgfC@=70JE&lX6a?J!x4
zn5u+f`$uAN_!yK-9FNMU4e-KPQ#4Ev;ji<yXntibE?B(?-TYVJy&_*+CJsQyy@7a4
zbv+h7Uyl(FgK_bTb*S~(AJ@xzqZNAKgUiln+6x%^ZaOOIO~4s4D){K3Jl4wmfY!Xn
zu<Z63XfSMmO%KaJ>rX1k7;S*r!~^EMM_ByI7`9y1g>ox3@Vqtx*6R#~O^=jdz=0u<
z>@XZoM2v#qff}HFS_kZkr$G9u>F`ZM$gm%?gO!sOf_j7({Mi!-YumO!_=_ZP6!vG1
zQAI-ju?j9Ot%HSajgWA)4dP2WpmyvX_!ROS!m>WYd`k&DrXq*qmJCJNA1XNSoi?^i
z(nG}x6LioM;rkXlbRV|>-G$ky@r9MBoWB<B7i~a;Yn#xxc?%vmAB|PQ&x4dLIQw-t
zuI>rOwmd(4qrMbVgwJE8qzJ=>jMtp@F?hg25yuVx1us+|!f`_}Sf1YnI>y4^UvoW#
zU3UUg2ScITI|?3Z3<Ue3Z^(%!H_5P?v&7G<jqEfL^5!0=h=mFxjZe>$rL#Io;fXGi
zul$~<4*yHW3fZOI4MSl;yBg$e9S_aI=jkM41zTSVjOG%-A*SaKea+$UY+@qF%Vt7u
zvfw~JyaVEk_Q5G^hE?tD0_XcWlx^sO&ZB~x>g!+V5VD(|Cx)Ves~Udt9EaAOhG<k~
zhNsHrVBV2=`1$BkydUHzpk3DE*e{VdG&c?}K2O98HYvDhTPk`dq~gL6DX1_p5%-41
zV8`JN80_SWH|kw+!UDkS5A-qewF({@EsYKDpM&2|3ddx2KtNVJl$Oi`xk_CKee#za
zvuY;_V+u&InJ0N$F_}Eel_qmub&0x9c8K;aIWLM(za_GH`A+0kBukRkX^>IlO-Q@W
zT=M4Q8e&qFNK$+A$&y<&L~3ypk&8V;N|xLqtNy(vN7Me0g~G1LBX|Uq{?vq>wt8?T
zXci0+GGX>d-Jy4|Kj=0_fY(aF!QGStfnDVg@U0e%1|5Zs)7oKu%ng|P_bDvoU*N^s
zf#|$b5l<(n;DF)d&<c#Pq+f8&&2+@Wr#(<N%nygjZ^Wspap-QBBKR#b&^aj=;}i=~
zN3R%FD~j>w_#zxpn}-vXGBH%hbBW)F<LkFx7_-w($b}kU_O}t(`}`~X*n9>Y-jqPD
zvNuT9s)1S>B`Z@biGG%Z=+m7h@$P>!sC8~6UHL1Y?jE(14qRPF-)`PVWoqhZ*3Vtk
zZ}oPnx2K4P*kn<5GKqQ~j->lp0QK%)LfiK_(~EC`ZoOkleIpI&*v^SG@`(<uE!CoP
zzK)@nUXP(IL0U91T8CN<n@ElI45-}|6YBrZinesv(_bQY+7RkX*KgfO%UA-vdM%S0
zNS0EYklj?xw2}I6<g~}Blh(a@L4!B`q{&0&*oy*X7Q9l2^=_ZalGa(XUtiqVW#2W-
zqc@fXd1W&FLFKG&lyG+3d6HFLyu=PPJz<ZdzA@8k89pp)1UJpn=2vzZ^RJhH@B6lZ
z50G5N>%^P*X5s$0EH0Zr>?q+5;njS#N*%v9tAY0|XyjF0O+q%Mk<TeO$d8!q;d?^L
z`0Ijn{y8C(_ZK?zai-&WWW*mv1)j-NktefCzDB!eJGE)usUm|EhCz1VY_K>K09{G(
zP%<wa*x?-D@%d1;r2wW+FMxyz`QX|t_!o?Fp!jkY_?*gw?PD?_ez1_YF3$w>+gU))
z<v>eVKK$+}0wYb~`+V#UfX}-jHh(`{m2H9$w^Oh)>I|%jy9yqD_d#91M{tyXhA7W|
zkbNeD-CLD#L+mJwc%X@@i4$>FfH5B1Xoli6Yc${Hgv)H*FsX1k7Fw>ti<0Yb>E00R
zd>w}KQzJ0JJ`xT7Y{IU%jp%$K2-_a`;fs6A@c3_Gu9a_%Z+=e~`d#Bt`nNI;Tqljc
z54;0U?d$O4*fEGXza6r&w!uEjKsf!%8KPfI1BZuWz{6V+9REsyUg#&%VbMb}wmcz6
z{JKb)(^K*?{}u6U`9vOi{2|K+NyE1XgW+GoNZ9s86E^Ekh66)PU|b6UkIBxEy?O~O
zN>~kY>6>7meIkV1$$+4rh2Yp$1qz1saNgr6th8k?QThtFS3Q7CwKt#^_XCEk5!~{!
zig;ON6mBWf!egP6aa#3s43HIJPP#od3|xpeXRp9L!&hUJVF;SIMB)(5SX?+E0k^j&
zqMB6_I)^7>uv<KO?To@LPd1==t{?sw;DMW~ZSlr?6MPb>gLR!laG2b07^!d%wg(-D
z+pG-YTDHQ5yYqqEoeZuK^6(|2i*)!OBlDq{*zSrYFHicAU7_>I>m~>CY?l*h+2=-#
zHu#cTk2aBL=~NOpzK}f0s3EoTjbvn8JE`uvN!rK0Bzn$2$@b$i@MzvJcoVGw)$=C7
z!iOf1I>Q=HhtG#K$GjkKNC<4Y9tW3ar$fw!LO8Kz2S{4&htI!{!~N#7uq5Udw5@mn
zrmMceyUPP{Z@ePzyfzwVHtOI`Ekmr3HOGewY%%naE9z|V68t*ru>3~^#%_<t@AWD8
z=1n?2)Xv6RBXjX!Rxa8s%|ZQTnfN0y75%&8Fh_p_8g{I}Zjn9ib)AY{w^i|Po+M^Q
z-2;>R4e(Vt4gLvkfW6N~!v5ixNN8gOk!|Y}$(6QQnVQWJdpdQ9ukV(jqvos8S=l;t
z@iT4e8l*;RzbMjImwt=AZr>5BTyGG|s3(g{LuZI*ZsTo}Iu^8kd6#B&dge$`Ouet@
zG$|F0QxJ>(TmM|NYPl52P#aCmHK!20Vk^?nw16b+^CyoEN0ZC_X~cR>G4VaRiyW40
zBwZ1l=$m(vme3dEt;-Mc{I3j{-Wv{<omy~G!4R}|3Eeq57rIk@Kykt*_~DxZQ?KPi
zNpLkRU2zC1j#KC<y8!`Xd*G4ZFZjjeaPRDqxRB}KF4L)KRwZQHpU+2|mp=G$!$z#G
zN<i(<46N!az~E~Yg5#(LBZt+YQSp9Uf93!N%-oMXdulQLQx%#S6k_Os6!d);gh5eG
z__bmpuIw3zo6=9ixV9w7ey$2NuT~Qk%|qe~jR)v|t#WLF;Lf_RM!2g*tzhA74SRht
zgsFes$Pzun*npp*EH5d9?Jo~vJDb+BRQ&*9uIVr20{vKuqaVu<@@;S_fZ1*cWXVAr
zSn<UO_AD=!iTsn;Q=Z0pyK~s*3&l(`u8J8e?q%K)hneNM7UnnL9Ghv}$=sGaVS^Li
zvz-V3Fr#1@ZY3=+2S%&#+)8b}WSbuUbzuf~wgrB)+mVkCap!KQy}0v^H9Uuga)rBF
zxO_((zvi6CKVC}W(pt&9Y<v>m*AdUZNJn$+rVaeVl~p`$zdO$o&k=f+)A-^>ExzT{
zU>?5qD+@Nf!A8X&W>#+n?m)x_W~e`hDLos*&gA}~v8Owz$&?!E7nwv4obsfShO;U8
zG@Y)0Wk@$#Oruj5TT;(nC#v4<MOQ6}pnq;}qZ;}pR4<{HZaLLVCv}{sN_F??2hVr(
z%b$K~;jF;^3c150JI1mD9r|odiy2#<X2)*LTf`nt@@HeGMzEmMN$lqCY&OZIjM-k<
z&1_ANFw-(IYnHjf)@BQ?L(zM7OuL_Hj+N)5=Z@gZRW$kih{=45*9>0Yg1ma&Twd?6
zjQeW^aNqhcUf~$W&#`2FGd7)jIA!y_FLHU8Qa=A(kjGCs=I~UF3?8eH%&mR4aQjSw
z_c6njYin8XL~UKJqdbV8ih9M4W}ae`mKLxY6)%?ZX)KH0e~%_UiKl~WK8a7PGiw`B
zk|}bv9YEHOpG*qZBFUZQLOdPk5#=uq#8{UQoejpsPgje`S_~!~zdwl<OLT}{EZHgg
zVHz&7o-;+{7kkDkaNb)><@VuiiMP+Um9&i&A1zrX?u<$o?{BIVhqbng=RE5Ymu~zm
zPWB#58?x2u!(cr++`y8K{_a9={qd$9A>q{SOfqd0=h4;Ys_6DV2k5foR(db>3VmVN
zO&8P)xz-|SHuc*uw!T1%9m+Fg-O7Zy+bm!|=lZcgpD3nqFO5l?m9Tf8_OKYuW|sK$
zJe#ugA(O28#GC~-CM_Szug%xwchwAd$2UuEeanTvFZbfJHA4Brv;@9zXePhwUBoLU
z3446WT5c41fNzjH!gm-paqEyqZW7eMH9pt!M#)Ov^e&5k-@HYbFS_%8sfPS(ku1NP
zc819uh-HRXq}dOTUh%mZtH?3&A7ZXy0{`rn3wy=Q(CC^1wOcab_0t>>+2w(iLmvDW
zkPGFCIpDu73;a|v;qm))uro-92cHGkuW-h2bk7j7@LBL6HV51r^C6(V7#;^yfbQ37
zD4e?&N~0Q}X=^iVSw<mnWCt8SbQ7NFKLN+=UTC=a1B_w@;;erP*!^la`b|^EBb~Zf
zdr}`)-V|IrG6dI6x5r1*7huYRC20J`2j|aTgYz=hW9haqOcmY-29=xfyya#rJ-i9`
z3h%}%=htFTtPi5;B78Po$cEfB$M`rs%-W}p*V_l-hgCn|=)MQ=u~#hIclW@hzHG>}
z*#tiBZm|FDOgM9FEJ)8)f(%Ou7_RV+7%%A}5OasjtiDNP2Hqws`tOsMvd_qdz3)h5
z>`$VhD+R7A2g3w`b#c&83zqMj3<i%);K?Nb$5<D*Ja8Fw1grs5771!ON#Nm}1<|{T
z;b?U=gwNj(v#8+w{n-xJ<*!5d@5iv`j&P>g`3FWGlEK*IA=r0K1&^ob;HK^RXeK!m
zy(<xmoSd=q<s#f=;e(eH*J0x5Ff3GvMsSG7fBO^hzGN~^nV5|9XCemq$79jeEvTv#
zg7Rlp;$_E$7_MrKp{I;+)Hw|dx+0IQO&{Poy#yuU`=QD$8v<R{z;6XB@H{&j+->_v
zJ91JryMnm>h#{Y5EF#)%mSnk=5%JrtM@n^#$wp%f@-p6u)D7|`aX%u+VAnLV;bIAy
zV6m5+NIOmp>MxLQB@c+6=X;`*A_3bTDS$p72{ty`urb;I!lTWhf4M!B%=Cb`iL0T?
zAyUXoCc~L|IiRFa4u7}rfm0fd;8!AyTs5zPT>E24$@u^i93=40Yk533Q5kIqYT?6;
zQ}Dw&Q?$HejS~y!;istO!u)>?rgw*<^RqadGCu{+4amT;E!k*po`*AS^09JH9-0Yx
z57qnW7+s!(<$9YjO5Ptwgw7ZCv1a&Zs5Zv@ki+Kr&mk(~IEc$~V5Zq($Umb7G3Tz3
zzn4OY(unIK@25jsFG=nemya7nH6o|d%FXulmd!$XDc6m<*UqKS*UzS&F(!275MA1(
zJ(O0y`yq}rzadWlTQ4>~lPKPE%}Tu1>qFbsQS;jDt?Vrq-6*iq=29Z>Emoqq+%S={
zO_8Ya*CA0y<3-VslRcuX2PMd>FG|Gs-WYN%$$;dH6Oj)u=8?>AE6Lq$5ya_j3L)|Z
z#2>23)*}tXDqc*E-MvQIx}TAim%o#Pt7U-=Q-%prI<U`YD)`Q~hIc>RAU8vJR@LL6
ztt1mpdXxihu7^kJEg<iG8MgX&!{~YcL5;dB_NgnQ@l+jL<vA6Ds}LV_yW(IOKRosz
z0{zmGQBNlaLpGG+G|inTZmmPS(STQPH)6`1qxf=9BdXLK#HQhUaP+V;)c>1?>-$2`
z^r$0#)X>FevOi$M;07p4a)&pAD9P2yYP*+lfJ#jm%^EuG+3AoVCfuQ!kwGTY_RM34
z<OLV-%R)9fvyiRZSinO6=CRK3T=r^I4%1M~W|uc-v8M1W_F;H7+u@nRY*yy63*!m}
zw_yo;^0R_H8?lpZ_*2Vrn-4O3ffKZEe;Ygc?i|w^B)q@nAF*q%UNPCdUzw540PeU#
zj?a@A%3Y*X_*}2Cym6rLeta^Omp(M-vmegpfv23gpQ}5+yM6^Xe7uU6d9LH)qaj?h
zBaF*+Z{o{H1b4^{=k~`o@P)hA@%}Zw{L7Rje3`Bb*WFF{RDq>3^0GGn;y9dVe39ff
z_ODs5$7S{*w~;-vuV4#~q_Dc<g12|86B`{hjin3R!qGdFSa**k+q~)<P1EV60Y)$B
znF~GCc=j8rI_MMKw)-cQxh=_ZdgR%-o?)z@O^um*k7Md*4O#yiGuCj!hGC*BOOp3y
zfuX@{`_&j0t&+-A@8&R5!!qVQc^C7)b&w6UILR&toMkovo$Q5mH=8E$k*V(a$D+yv
z=BUsq5Jjm9Y<*q+_M<+ZHfARO6M_8J6DR&bZxK(L;>}B|*Kjw-P(I_)X1+@@j$4~0
z@Uv?Yxo$`zZ#PQdTMc4)J4SGyra+$B;>Ej!41J{}@V(}S{Q3)Z9+D+5oIyS^rLrqb
zc0mJst|;(W4MSP<P&>B1UWeVSlVanh+@~v!H&MT~68i3MB0ZWNOfUcSrW0IN(2>lC
z&Up|>>sG{2Q{6P$y|Rd^Xzrr_sW#FB2JKV=Zc;^?9%^s-gRUJdBkb*lGV^+MX0u`<
z8+&#-8}khWe$_l?FYn3Z#|E=AzOk(9$2Mm9HJ_bn+RpOq>e)kjjMeC$X4czpuoqfS
znV5ZM`DX_3NkTsP+q{un<%<@7p{2*m1$O(-o7Vi$_<5WP?pnE?)q+!Vqrkb2<!|eg
zc)eU2zqTQhzuTA1?W1#e+p%mu(j=3+zD(smZV3I9DPer#bsuhO;KEn^Hs!Aejup;c
z@&YHWht0opin$dPvASRW?8I?BHmR?VUVX5G#&(<0vVa=#SXsH&LyF5qwK1nekw@N&
znz@kK$dDw;SAU8k+@FiG51kRY*;k7m4G9s|UQ`nqKS{RA%|FySZ^z>{V>zL>KRHKS
z=GG$ST0P?9k7Vfu<1zGV<22frZBOrh^Q2$ZH_`1HLiX)U0ev`bC++b(MC*&hG~mNk
z`Y^Yf#_at<zZgleqVOS1gQ_#_$&*>Oz+Jum$d2`|Tf+X;2C|C}<JdI6Otwb0jCnn*
zWdnX6W1Vs5n0x9yW;p2`i)@qNZ4QI^3#!7ibtZ7VU=x0#csBo)w2<44SjFGUhw~%C
zE+;r7gI`%!z!eUcb44KsSx~r#ORuaGd;)d6v!#}69o@-;PnGd;pR;-IzIblgwTgFK
zpUpdJwRuflKSLYJY9=SKmjPPLJT#qp9}rt@PD&;N@4g_P(nmqy6Jt;uKO2;O&jq#H
z?l9)tVz{t&2~><)3>^*b(0#@gVlK^tI&~M=_tO!e%mHR;JHVC(2gqII1mekap~*z>
z*Ts9lbu~}Ol=BDfwjN{@wt$XWB1C*jgZ!L4xYJ(-0gk(1$mW9}QG5al_Md?#r*DAC
z>nE^r>_;#O?T5$f<<PBZ7@Ehbqur(PI5yoFC)8QsBn3MhmFbG7`&ZyIy)~F{X(O6v
z$KcVyiRho4f}a1jp`vX%_8O(*+0tz|X<ahf?}|g;U18`r%MTYvF2uI~2&M|XcGX3r
zaBa>2eEUB`=N-<~7sv6o6qS;8DVo~RP`>x`)}TQ<8l=)5zcjSVh$va5G$f@-r4WVh
zJ;&ZFqZEql5h6`~*YkM%=Xvfu=YGyPpYwjd-g7@v#II25*Xt@dz28gQugs!oqn>nV
zZ<^qI+Edt=Ybeav&{?>feoq$jS&)6`RHAo4x+|=B<ELj}Q>5paq#-L@x?2{K;Ui1p
zDYCxwPd4DyKw)I!4B^(x<-&ZEeZtm{=Y@;kt_V@q_XQ7!V8LG}Rw(t)6}q=n2=kZz
z5js^W(4qXkwC2)qdOTE%hCZB4!xtD(qpAtLoxO{kvrbZg?FDK%;Yp_3@6aUE0Ghh<
z4Gn*kNSYHrkcMInJuq&g*z=0Gb5|8fC#6h6<w@vjtc&W=hPZfi9dvtd$D+`~c;C|&
zMpYN^eWoimzL0!^UA@s<brVj?x3O327W((`#xFlloU6Qurrx&bn7s#=<5wWKn-0DP
z3`DW>FH%1vjoE`M)Y5GQg`*2CcXSdAvrfuXpJvO)Ufe6ToqQ;IZ%z^oYd(w0Tfd1a
z@jt|0*+0dh?LWjNHcg`4s#<Y}P$q_#6^i>=o;YMuruft<S=8roq60;X!xWhqGEo!{
zgo$F!OD;BziW3w2B#Q=inIb#)UVJI}Fg7o(6IaaoEfyT@!Yr5)vsF}MSzFYZ$tNxL
z*mXAR<gtitYg@~1Ht%3duAX3rI$U52rh2l9{dZVUdH@UA^_H2eN@g$oKC;Jq>m{FK
zN8V+l67Mor%7}{7<nyLY=VqITTTWTda~#b1CanX!==~Xq!{^95e7VfKoV&_RM&0Dw
z4&C8<`uXwu&;0nBAHH1W?Ja(@{3_q<d5O<yKgZ|K*v`M^8}P2<$Mc^%dhinmKCsLI
z_t=It7HnX1cV_wSq-ZlTII{N;K{(SVQ1HE4Ce%48P)JCBdgV8q)X!>ArSWL$)1XOq
z12jlwy*mAwFpLgX52DOsHFDHfr9JcdQebT#TDGST>BRS;CZ)clVW>(E&J7^vw?inu
zU7e<zjHOjclWD)jEOHnJdN^en^>H+%4YD1QU;QW@?r%?{3|%N@(>0pE)sNQidPZ~4
zy(PV{L|UpY^_r3@DN_EMW_DG8lc@?UO^3p~eJnKewUMt3%w1%Rz?h8~wsJQXJhg^K
zlr0`UyMUw`7tEUJf$s)a;qu7~!J(2y+3yNk?cC71#u>LIhR%lj2Vkgbin*5rylxqd
zjQL7<`>>o`<YDxq%7yZxjp%w?Pg*kLiICtkRAA?4>)BpQl8+6ZEiUsoBL26;RlK?Q
zrg-U>uNannSG?Hoj;IyuEv7_xh<*>9#eY3*#nF!siY_-di+Nj?i%G^LT3(+n7H=9O
z1_ccfUwQWxFZAsxny7UZ+r2x8w}<?Zvy4{xs+p~FN8MlYeyRWDy$^O0TW2eX5l|Mt
zxT=bQ<A#Y#hKv>4t*47?R|ujBGZIt3nu+H>|0m|x*^0wET^1)8+z|H^JQTlw3Kg>s
zOIqc`_hL-<I#D&GBMa``iv_(N!s1gVu$f2avQC9YY|ON+EaLugb|KV>C0bl#nTH-Q
zd!^S*X+<KNVDX7f*xbZk&FsoOR`=ya?&`eYyOa}hf_SUyDn9kGCAaHzoF~*e@a8XW
z{OgSy-1p5r&a<BKmliL%!~0Nf`6P_{ta!~$_P*r0$&Y!a?QLGt<ibB)KFVi{M*Q|M
zO}^ivl^Gj6Wy`M^vLjn>i?QB`GB=L`q2Tcp(i^vxeq6Gr*8T3JQRq!;i+!kU-Cerg
z(T~KFcd4`BOY$HevK)GwoFZ@1{-_%yxrWGf(+xVNd6Q=Q-=eEuedtNeU5bnHr_Sb2
zC@TFqy;ljPmT{4EqJJ#ezfYyuLwPjs>u36?RZEHnKgr3v6LhQ;(ekJdDzpb;ld{D5
z&=?0F%c&@OI~yl@09Ml%W0KNJxa~EC^@z=Q(`1R*XS<O(a6h8k4#0ite`s~ukEsp2
zF>kXa7L{xQyRjNMZwxWYX&#D9B-Y3Ik?6O-AGYq3dh!9^=yXXg)z(E(qWWWMetwm<
z2HBI|l0Br`ypmQ9l~J$#lS$oi6!q;qm@e6<(&)P?)T5^gT|C^E%DwuN-R!~iP)nVD
z8;+&SLsQ87%518-rBA=?jmXV#JsqmqPUj9CCg<-q6#mqSMwPo$&*wL2N6-7@uJDYy
z1%^@YPBCQGH-m0`{YV98tEgjHEB(3D85S3NBBH7vy5AoPyMWQC{5~14cg~jjnZR?4
zr5JE~4g3z6q5bZ5tZCVY*W(W3a?3Fkshxt&veWpp`4rxaKaMu9L#TVa2W>VMm}jyE
z3TGB!yU8r9H64pzKh)s<s2ff`uA}tl8D!WHOgFP`Qj6<(`gd+CZHoXId5)nZ|32jQ
zyG?MISti)GW(x;}1mUYX7ouZDL3@9+5MiAt<d|d$FMU4=JDRJ6#6G`-fnU1NnD5Hu
z6f%JJj2uPAb0^W7?sLe^b0M9sSVb2GY$0ErgLFX4hE$TAsH)wAUVpkpSN1(5dE`r4
zQV>P4S;@qnzbE}u6{IM%(%SaUm|LiXYctg_t*biBWfSl%OB(~92r!bkKbpR4v3t7(
zE=2Buo%s=ne@?@CxE%(To=2UJBV?Kvpti~p>b=fmwUG@%wXCtY<8I*4di-uNz`&t8
z5)Wb|p2sTVWK%O;k!4b!IZ|KfkQ>$5@1iPq32xG=LWvP2LhAA7!nltPg7RNu!Kqn8
z@cgDAG?q5Vt~iv-tV?QT#%ntWwJyDd^dF-HA#jec`}Zp0#l{0daJYlez5S{%s=;3v
zej!xomJ~1O#k?1^FV+ZKX15D(ekf9YxhlolsFQ!eMCp8~OJ!3G$=bq%mPPEOnVV0L
z@k~bwvU8{P4{woK@FP--4594oXxgNhO<NC^ke^yJRoi#QlLyKeZ#58~OEi$xI0c<t
z=OOIQV%T;t0qiY-N-KnYK8y2?4tUgd5qUS<a8~sS22b#U(M>OmoN^VPV%%|X=_Q!u
z+9PDdQG~c`hF!P;f}EtR=vwJ)?a@lbaS1dp=oY<Qxr^4U)F8)YS%R6ih48+@QTBV0
znY`x;RdG#;iRdxPUi=#DA-3$gA^uIdB`Qt2DOUM=iP?kPME!*q#G=Dz#O3eyiZ*LE
zh|MP!i+69$5zT*25M^P*q?)TDKKEA;{X_rBud95MS1l}+2h1#xYsbHnZ_dw<FIb)~
zw^7TGPaK>rcVCt-fBc|G?x;~I_e=gRS9;e${88Fnyr<b$G<h&o)H^v&yd0q;raCMT
z`~6-cTF7>aKhK;JtDBuf&rM!pt?GTzpI(UvyTyn{J#xiYD%Ij#^A7Alxe^;2J(xN6
zpTIVDpUbw#8!?x2Tbc5%6KwG&XGuGGo&Ah`$Se}WSa*kHwsb@>>lV?%+UF_o)JRoc
zyi<dl&Y!{KmM-AFR_pkWtGoGp8%YD#=)@y6ukcsOKK$R}hrE2tbFP#U!dHC@=NYr#
z^6*jNJm2UQU*+|fw+z3<Q@32?{;~ty*JlAY{WplOPyWoh47$SpWDjP6Tv6PTW-m+#
z>Pz)DE2;Zp8w#2#^+!W*Q(*^x>OJ5woyvbgF~6VCZnY;g&+ieb|9n7xTm2=E!hKSb
z-J`QDex$tm9u3@apO(*gKtJC-qOZCEq;2(rN{@%o*wt_8MF&ozZ6ayqWzyV#AIPeu
zlyoBN$<pXIS+4Aih!2W5|E3QtD+gff#u3=nWh{8sWcWRsiSRQrRE=7M2`7y3QmRST
z9vd*`$7cAfwnXW%op?QCH_n*t#)+JrsF&tx?e@(uaWF-8+j1=Lum}?qbn*T6Wb}PE
zQp)C5#l#>5+^=boIJ$*2s3D#jM!%w`Cw%Fzf*bkg+t91GyQz1Fb(A(|5gDuL(pcFv
z8ogeN2KF6CPJ_mh_1JM__ICo^-ZF&_jMt%Cljl+G>IHN`s^hxPO(-^btHd!mK*?#R
z$otcIvRUpzX$!6ri@r_UG9S>~qc5l}{0+^%A4_$*nKat*6YX`bq8SFQbfvfx9$WW-
zw`E_fxi=VlMr%mCDJ>{PY2(iWDQEiBBJ>=*92eJ`K;@q~-hJ4PgrL0$TyPK>rczB0
zIf6}Nk6_egD{RW%hwH7|@vNU2maJKYLw^^d%a+-2ER|TnHG{F@OHVvl{F~0H6;Yp%
z7&?0~fVkwpDa)}V_ex9pw0<!ieLI~#K36Bzw7yc7dUtA$>qsLn{t=?j{1jG({1Q%k
zv<bNeor(K)r!5-2Y3&O&8Z>?cshu51;rFJKn};4bELlvN*=wn8>NZL^WJPmV+mPo0
zC;Fl4LBW!?>c&JVb36DsO=)~X{@>!L&zo!-v+gsAY4tQxvyFO9Qo!HP-cWx$5aa%g
z#KwDCh`6MK!M*}!MlD9Id^MgNF~h8fJ21H4e+W8kjrpfe<Hmj)+`Vs$gVNsfrmqdA
zS)Il}g`==m-HWsobF4qJ0<oTi;Z9S~Rx%7<$0=b;U<)}t%b}kgUz6{cn<U?5OSSJz
zD93099cxo1@yAc0?QFI%_F$+`;d58`@2jWKZN??xzNeF5G5(_9HP=m8u611qvGx<9
zL!SxJ*CT{GpOb|ZJ3b00dPzA1sqKPVh9Vtaq)I_+M$oseT4cR@78!ahplpv-<Zru$
zbWT{&y2ZAXd*mWH7)h+zk~?Ik|CE|ezot%pG4w7ni}n|OrgG&*l4*6sTeBYcI7}5T
zJBMTP^zr!bKW+S0Bq)Df3gtW#On<fw_7ncY#!e@(r`{GXwH(p?yfYT?OK_0<Hx46R
zu%pEp#|JrLili%2FFS;g&s(5(%NTDX=D_K<1}69Ih5xoR($V}x3ORV6JTq+Rp06QI
zAF4))Y5Br*sV6&k@Ek!^Aw|}nIzndQKPPgcVPn+N!0GausQL1Idu{oI6-x5A+wMi}
z8rL!M*otd<RVPQw#FcikH@3kt^XM{}r-hQxFma49%z%Uy;s#;CtE0m4`%Z#o-Zeq{
z@&jQ_d5F-VbDS_lAx{`Ns8Z0``bQX{&|SJK?ngCaM$ie(iL_>}E)Bl8m>i~UAm=sv
zXo`{z3E3BEfyXuKy!k$LSoM-7*fQGEIg6s}ODN3b2jxEMiYJYIASeyPqn7bl_h1%O
zdMtvK!deVDY>70LBcNnkbYAL=&&%8~#PJ$*@85#Q5??fo^uvX`yEr=L4w|dIv1OzO
zG#VW-bp27-Twjk%F>_%(WEdn7HFfM7E3xogsbPUYM?(sPp<hM{>KbR{cYj)mC!a@&
zc6S;?*G)ZG?`>*q{lj7Glm1B7ec~t<G-)JT@l9g>{~W^RN`A)Y$NIA(`@ZaKk3Ot)
zYA^P-uQJ;ZtHfTdQD$Eymgx1lDy-K%Rn|>$5IZO_Lp!u+GXIMcS&6<5Q=cHPPsU4F
zK3~VCU9)7Tz8q!+W_HZSSJJb`da*?x?=qL>Ko+C^mIWM4WOthLC7x&{^Ot<IEu$28
z!zC5oet#&>-ad{GkJskkUV=v}E$7FdZ{oCN4-YOr#^3I?;}(0IxIFYSpP=Z;=MMMc
zBVSzOTTfr(Pgh^%Woqu+HQJe1SlRN=QtnSiq6ts_AmcyEG`V6)5B|%nlo|I8VGsW}
zu|d8I*~x^?Ec~0d*f-{v+^NP}@5l5`f_3&9q1)RF!XB+#!tQ4eg~vYvgcY`d!fux*
z!ru}8LO@?1p|ZD^Fy)SmP^WobNGLrfl%CopoZh-Y@JcfhYK!!R&Jr7X$&Bg3`7;xR
zi+1CL)4F4X^S4J!cVc6N$FlK){^3c&zIii*KDTv+F5dHnZMw$72agRx?aN)lg5cxA
zpY;wx^<Fn&hyP9C;gCndrn(T}$Lv_4Vq~uHE2Bbq_}^b)-VH?xAFD=T9W^Q2a0a!F
zTtJbb>qvj<UP}3FL-EF!DevD+`mg6x+I8(M*~wGs@%_(KVEKbq^;W>y=6;w_EuBNY
zPsIyG;NY-T$nRwdwE$~ee|H|%MiL9->~%!+x(h$ANBDl@87jSB;!W>hSUJCh|BFD0
z(dCcb{@yrV=8O^6R){QLiX(NJkiYm#w@(Jsf}L9^=4-x?xv-PWEB%W2RMPk^HP>Ud
zu3MRR&1tsV@B(WIabXUgZtUQ7cXob*JNvWNjm@gL%=~w_u<e~MF~53ewt0y&Yn<ZD
ze!X;Ny^1cfzLFQiV7(g~6Y44H*{`uc@fNc^>c@Wke#G2XzhF&vVJzE4%2_><%v5B#
zY+B7{cKl2o+t>V?IX>*dPmmISps&hv{D<-l8%Og^>n8JlwzGIoPW)8MVlMtz#Rp&8
z$UpgP<7(M^c!#EgeEM67QBZN551Mz9r`Vq01|HTtbgdOH%G}NUhgtAL2iNco{SA1*
z-r15iVjOobAIMkNcjt3i6SL6DWrv@=VauQ2WkClnGSvYG*xPPKY~YD$EPlWcw&AEE
zE1B|BJkYsJ%sB8~%yrHZpV(xGGp}cf?i2FG#-L&`IJ{a6E^ielp6tvb@_MqNt*Y#D
z=5Xe0KAwH^(`E*Di4EFj#LQbauul7Tv!i*(nTG#)wq@UCmY#8q@q)W7??wQ7J}8Xc
z*b&3DT{2na)grdsS$Z%3{bR+N3S7BoA3lD^Ac@1P!N07V#NE?oah%ZS9p)JEE~O^C
zVg6Qra`-+TtaX%Y4L!q$q}lSQG3R;1e-6CF)`6ds7})*YZ28dAlicgee_VC#RzC99
zD*km6xZ|zK{J^Opyn1VQZW~&|{yj@%uG=0npH-Jwl-)Mwa%mRRz1^23KCKju&BDcD
zy|0K`c?U#ST|;qC>=e;uq=uLxsEY|JM~j^^riw)eA>Bc&6BDN&5Xb#@UOf59Q&gIL
zPn^H&m6&f4BgU)eirzsLVww6M@oKCB+ac98?V@4qM&)>B5I&QAv0T7DDXeCDBe$|0
zzK7ZE3W=K)>cSM3UT34j?=i1lFIeQ}NcJ!?nc3+Su*Ub*Y*g@HwyIo#pH%HDWnd5G
zR~C=ssxoa(fl~kOm=XVSYy;nNVkbAAbA*4LZo^~K9k^HcMLs&%l^;Lr!DBvpat}`l
zR$%SUA0BYwhmSk*{Tt8lnNEASb^o<|MWP<hJ2jd=R95D0*Q%Lrd=xtzdX=4<Xu%dZ
ztFxhtaz!(b<Knem@8k#Tqvwq{5h6=$R1+Q#CE-7l^@7^R?ZQCoUBV=nZ9?>r^+H<w
z5@B}X93gJ!SixtysxT_QgW%@;Q5NCxTIMq0iY#p4Hkt7)4cXU#482c#WO@fj1V+?0
zm_@l8rboqRsLJ*JkUU__KKbw6m*gE{?#ky{yp}iFr^+>~O6A}7{*kMg^$_c_28bhc
z$B5&jbi|tTi^LIfQ?bx{pLkW%R*da@S$yC9rg&}bV^O7dxY)})Nj&u5Co$|uqc~$#
z7iKg}g-K7re&tMNwGs-*vfpYpwf`<=XmE}-9CTq1-EXp@QBRri;s};DM#{}DDq){I
zf3b{dio85jjZfS>ntz|F!~I4t;*+#YdCu^?yi4L)ZnoQ*f402BQ@i`{pr!{rD&QIK
z6Bx`pZw=#1WZ~R5Hk6<CeZemWKj4cdd-D`26Q#P}Zr*z?@vm3a_!Ny#%>SM{(^DAC
z_UQB%i;Djf-W&Iz@AD0)`QH)BYP?8uCS4<QV;_nA=tmcN-KUgU_sPp#;(7eIOY=AQ
zQf7t^opZTOrs21!_24b4OSwfs?{CxCdv~aMiXY9o;7`E;kEzA?8P#qNrlIX`NR(pg
z5?>@yVq!K$gngnnQorGH-|sZ#csr@A?uHGEmC@T<>bvU<g{qn+O2$pZ-}Tx!>pl-V
zo-e>k_hmSwyapw$8(=nU3tSC%pk99u4D$DZ<?M%P-~F&Vv<DZ<w_}6VW@wBzf!{16
zguDmLO?0qHaU6;k4@UiAC9Hq@j|%RU(y$RJ5?eEb=FhxK-R8K`bi*@bU$~Vj+m}(N
z9dqen*d!X`r9tC;B$kEMKynOMqqI>2D16r-N?A6HjBbshhVkQRPX1I%m%NSvQ|6Ot
zlo5@Zw4Sz}-A<_?hp23?4YmBdKx4bRlZu}=DW&>Roksx4|Af-czMR$+rBbJzAL!hx
za!QMBCa;W+(!N^}KhssP++;8!Cu=~{U?PrP*1?ZT8SHfpF=*3D*r{*8f2$?E|J&U-
zqIwV~rM|)U>&LN6b`p<2o<QirV^VMLkkrT7i^%LPDB8Ua-xo++UapJjOSIs;Y6!HK
z^~5XvR(iMT1JUUyQt0hZK^rgA-tLEKiP}oZ52Q`*uEXfm+@93I{<omKuv|D0`(9xE
zvxH4s(uIB%8A5S;j?j5{p)fkNLWmA%7H+@kNO>)abiB1MMZ6kHvqp`j9*d@vnuf%!
zjb1{AQ%&i}=^fM@ew4cZv!kY`m#D4rDxEC4LtW22q2&dV52+I;gHGvWQ~Ht4yr`xR
z`+n0tx2_nwwHL+)41n>rk@$XA3njHWSnfp-O_!p3?{zrqDD|c6_aK5D#+PrW@W;#+
zRBjK=?GAYQ$^nhf&f_E5AvgXs9?Uz04Fk8M_T^d_pId;1O4CvGZMgJ)dg8{wCc1DX
zonF0sM)AMgD9m~<`Hhp2X43#_``I99JIjTirq>1Yu}6esaZ7~zf2Ihodq)aMEklKK
zqPif=&=SnsbcKaV%Z0l(JA{j-Ho|E)SK)QIkMJ$*nQ-&0Tu4;R6gF6t2sR!qLevN8
z{>Q2}ExbFJ5>AYvVf|*1gFTVzS7S*}Yfb?r2k5bxbpHG6Oit!k$@!`;eV6iW5FJjz
zpW-REcOJdpQ%(`TTj`c%S3KU|8+ii;V~Y7`=tvsREv|YvwQLEJmzrSyM(O-N*9vE(
z{DN^;&!aiS8HFvE@lVYI$KQLxvfUF8H+o=v`ek?<JHh6gbRHBX|3vl%ES31*-gmUn
z)TbYs+giwBK_VHb-XY}!2Psc?G97wQBm8W-Ec9O0MHpAIN^eg7O?lhJ-r}RNdSdsM
z^`e*IZn04LfOsx;k9ht37O{)M8Zq$2d~vt;G%@woa8Y}6Pw`7wgZyQBiu~H)$MV%x
zj&f@sV|f?je)0u&VNrkI4UbCv(s$mFd1iV&^y2kS^i!6Nd8{L|Fg26STVW@&X!DXq
zH$RbuS;=JsLf*+j{#40YVmk<<Rw@g(;sy&=2IGacf3t=4{gw#XA)5r7epbTHSN4Ki
zqnj{mr;l)PW}rZhkwSOdbm8yX5@Fz+pF+{J?&N*3KY1_KBt0)}dUSme{W!aU&Yd|(
z&6elsdWHuHcka@TrXY!}6isU3d1Pr-OQFL%;nuL;_=sWXdSxP(spw(rD`T89+XA2R
zBRF>cJPrl9VtTMQ)U@xRJ@zTymA=Ha_SaCidxN5)aJ+vIf(zb(SRHv6H?~V2y8UNi
zIBFekwrHWlZ>di73!$zS>u7a+pm09pg?#VCLNVsLHY@(In~l6AW%kaw#!k%gWuLG6
zvlPQeEKlVzTYBvgQ(ga%t>^x1?1=kP2Cg5Q=y#W;^}oyf$J}LsWp|nT=6kHKk3UoQ
zm$H422e3`Uf>`mDP-a#b!CZewvy_@-))w@RSuZYRcY-U}o!TZ={H=}6{@9gk-BRL(
zLH&4#ena@4&{6!7(*$0Bd^(pO(B)=E`dsV#Vt#7QN?zP7WmC17@h&~K@!Wqqc;TJh
z{HA;lzpt~0x0UbYOJlZi^As~)tFn$aNIDv?c5uIuGr70bc;2{RC~s}-#j}$;@|)AE
znfa`2_M~eh8(#W|&HL@eI+{7M4JwD&fSir&ddy-r!ecJ0{W_I(w;a!MLo}I%-6-aN
zb`-1Irpa7d#<C6_CNX9zu@nn+S^bgu%&?~sTXofh35wg;f?fZyvf$H9>x2WdQoGCo
zXL+%xQXe*F)FU?HPY`pmj$lT&<JrT**(|tIG5c;*%lu7#Gds5~JaV}bkK3urD>8=i
ztka`;llf#GzhxGmv6uLt4U74j9;<l9(hdAx%@%$tXcuqWbbxn#b%+OA9p!4<thu=E
zDE~L%5TBK~k1txbo$rj?$d{~L!8>i4&%f&G@QB4@c*kFAy!xdA*Lm8=Htx-3rCJf}
z`_lXDnSv{GY_?{v7Md`}oO$f~%CT(edNo#mLXk}pI<TO9&7xL$ooKIFE6zMtFLqtn
zEDlimCwfio!UneXVEW;G*@cZmm}aIX(@~nj-u2XF%Q6?Ty_;9D-002hw88;4Oz#XU
zf9uGix4N;SyWZ@S%{`{6{ETg170!-rjAez>vsn3;BBpw<j%_XZ%clBt<L<h>`JV*?
zxoyZu9&=iY_i)kSYmx<SK5z+7GhV|l=$Z3F0Xuo*x`Vu_<rwd&dzPo~vgLPQ+wqGf
zcHAbzmXFRo%inA~#y2e7&zoW`_|=K4xM~%6#L21r``+Pvih&Z(7~I1AHoaprx`nXv
z>(|*ccAD+&xRSlD&|=#rNxt@&O0l_ti{3B&#jsR2v8<n+$O?{#i$ebsty>R?ht<!B
z$E+R2geUG|4|ZGpzT>GV+ww;2cs@y-7*Ze_e61DdDRy8xG<vX-L{)aBtE5-1)MDoL
zvzcY}LRLCs4bwQjjZMos%+^1%V+B%nh_3E6)>Gm=j4TXftIxh+>Z%EB-m_fRvaXCB
z82W={bn3!;UQ*`a4+iiEqfxx&_$2;EZ4Q6hdm;D5N*-)u#(kxJcH69@yuGIlcdb6p
zA9Ql&Ekj&***}THdf1hRuei)(tS|DC57L=M@f?4l{U5h@x{04uFywAsrgMuOL-@(M
zF1*mShzSa>+3`UhY}9QFmY+P9IXQh3BiG**l{_IH>mp^^&Al5n%fG8^+J1?JsT3-^
zVVo%IKQu|EbuU8JVs>9<Kfzvh!e3W*>wLN%y+1JThrf5!-QMHn!X$h7_1u^8{2ia=
zn~x}n3gU3lZOTkBsoF@qG<1h({o}0YX5u1>?1s1@?~&O0=C!!cEnb{@I$u<MQYHSS
zf8x*CitOHNRrY7bNM@HdnU(qJu?g8mEZcT7`<Zu$P5fui{4cq&q)E4#+n*=wwelOb
z=}Z!{*!Gc~&97&!tsQx`nKGa3KZvKLjN!f++I;N2`MhYtYCd}YHs1W|Fb`F;;{{_b
za;szy&O*F-r^|Qv?MCUo_sjzxp7nqq@VU?D2HxSnzg^>M&MsW$d5&jo+RAlb>T}J8
zk-U#}M_$wz%f!M<>_M05tbId>sBU{+esaYmq0@{|L1*7T;hy0jn$)C44)bQy#7hG0
zR-I3c#q+6Ol0JR5Bbwo(N7c@{RPHxR@^b5t+S(a(a_Mwx8b6)1y3L@S4cesDGK>6&
z&!f1bkUY4C^f6;O#g>_p&Wdd`Zs>n>-1IcHU38$N;LFtM<u&?t`7U{`3!r@i!e~li
z3>k-H(ZR=`=~YYv6?W^0`3rmC+)!0qaT<;ew&QWJRT~+3gxC&77;dy4A1-W1w}V#D
z3_FciHukvv{Q?Y5UxM<N%P^^Sg|O2V$<tjhVvZ9UPuXGL1Z#XeU<uWAE1=`4i@XXA
zY#XMGt$B6Q9d`^R==;#A4M)kMZZ<uZ@_f{ELWR7Cn}r?;Uu8k-f9Zwf)JAEQy2@WI
zjFFoyE0Q0ZTqalC@ky@xIzjF``>A}v0Y|x^|2+BD=V?*w*T%?Mzi#Ng6~@V;p4rO&
z{d+EJ>+wmZYTZTnSut4fI5kbUZE7gQ2W}Q#K0PKpSl}eQgqILsb5H1N`BI2ZW5N{U
zEMb6hsqj_%hj8{pS5l7bLu>vHl{8orNT+Hx4aqg6hk6^R+;BhT^tPop)-I&o;7zty
zA5zlkP?AT-Q8$}>+MQNS4|zK^&FYENLjzECMH64HPsjAbz=Pf^rEH8Xh^w~3__emE
z^ptwX2R$&z&l}rQ??BV-KAzY<M7Zz>qYpp8pW?ePId}u-^xP0|#SVIfJ8@geKbzq(
z27z0;B4>OGo!;tB-@|87{gpSu`D6An|M9cLz2Bq6Z#TQJauaoCSUiJuOCqM^Xvq9b
zm$8^tMr?)jcd5n_Hh8fC`ynh~nwDUpe`V~opvN-T&SNHK^H||NJ+|6Qka!9DtYE7F
z%N=6G9u8Q;+%|7wVgI(XYyS>1*}gMuQJ@3!*?pPqZ}nmYn|)dIvnT9QZ3ufmma_?a
z)0xy&V$CyZnQ8K0X1YLu8-?}Z$!`Zs`I8bSd*xJaA3K-NxnRI&9bL`eZ{EzkmG*KI
zZEGF~8$LPhJiqSb#82p5;ySNgc$a7w{&dbIZr;U-&lqaYPmVglE&K203YXULNOgVQ
zdT}B*bySnG<2&#xU-Mam@=G=<^)idoGGk$SW7%k@?_%G#kHsAi){8wge#yt#Z<HT*
zei(W7ze2sBU%Ik(_YJbDH|u0<#VnaoX(w6wv{QPsO&ubStjUaW9J5e9p~O>eViqgc
z@cAKc4OJD7n@<*(t}+zWpKKNHIGho~oL$7v(Kp3Gm!62qo!*E&mL!SQ7Yf7yrL|(F
zeg`%qy$5@urN&Z^jAHGvQ<&!*8LMbCVs5=RGmF<&4BhP6v|+AnvCd5<w|vBoMoU`J
z?Qu-lp2rsES2Ev>zs!7!BLA46%A2Q;<W2h~^ACIG@o@u}@_B1E@IBvl^S_Ty@E2Fk
z^S|wv_@q2fZk*`N51sSj-+k}$9~pkUH@nMCbbR>De%E=#c2_=qt3ChyPRiNsw1Vq8
zPUH4|eYv4x6-(b1#OAy_!7j%PXBX1^#MEXRxm8;qVb$ZCf@$XuLe%`u6xXL8=`R{a
zUc)qK`lHb_DS0&6Ez+bf;Uj5;?{G@oG=xqH1L>3Gnbcg<k4EIGQ2KBcx-wsdx~}X?
zM^>tmhS2~rUOI$+uTrNwd&kgIpGnlxq(i-q33P7O5^A5njy#`lBi~Dh=+|*u$rpH$
z?pR!<6VrTYPy17{mokF7zl)>hpE<N-V;Rj+Xr(iqyJFJR-mq32jLM6nar)^rbTpA+
zne|ej)D)?Ecc5d&VdR?GAbY1HmZe_8qNVOQa`y^GUGTzb(F?7r5~E_fJIo(mL}ra0
z9%o2r!*`M|^~C}_G}1zsJ1Q92tx?jBa9Wh(CHeTxXiMfGlC~DY=!p43(9KCQ?Wk+=
z1s^oUBYU=sLmoPbzo%alM-286&lKMgS?X=^QuB53%q$PF*Ai#Z_pOcisQy2(=ApTG
zXP~i|c~d5C-ZfR6^iV@wy=$O&=yfk~j$1eJLSDN(`fQ6l^KYG8DopZl<qG-T0~PY!
z3##R|Hs9pk2e-;6U+5r42Xzw{_3kBB1gMGkuBeOu<!g!iU1p0zQWuF=Le_~NckL2q
zs+<<%>zu@fe^<qw>+Xqt2fh^Jc5?BS#L(Kbp+c-R`zL;W--AtFGLY>WJ(l^p&td_g
zi<xD#8B47^%&t#yWIcnfFcq(REV2ESbbk`ZW;MQN8|C#Z)2K7wCuzQePYvg?v`Jjm
zK*ntgm-8XkTY1+~skdBzp0~EUa)Zy_{OHVkeEHR<{J`;-{QBzG{Gn$!-|#GqkC+q8
zSO0s;i@NyoiI3g5tJ*2vK6Ewr+&P|)`Q6TLuX)J=*RE#W^aDiq_YY)w>+*$@rc>!z
zh$Z!QaiBN9Jf*wiTjbT>kCwf?PxsIHQ(jkpvPru~1LpbB!MnaxJ@XC?p5#L{{<mpn
z*lj91>O%o_cWB#KKN>gQpT@O5qQzGO>2{}A6gWSe0!&3Zqn|*}J7&^?Yahs_UGja*
z{YK9g{h>hRF4+CP2R8mw!N0?U&@y!-oJWsGe_<NzcFaM}IpE#y#c2Gu0>}H9VuY1B
zM$~RY!O~qAxN$FvDkMEo{65Ud+k>;6cA~H07Ic5T9^!!&=>JH%bM~Ku*w+(LIBNvL
zY*j!toh1!P9r;O_QA18fk@u0u^fBCv%r-gD*2n`i*u;bi3>Q$bphL?(kEfH#Bk8N}
zP!hWhrXzuaXr#dq+Hh?+ZQQ0onKt9eG<hn0)|f+Ij_cE{h-I|=s|ndQY@>xG2kC}*
zmcAxB(tod9>7vGU8n1bm(juRb@FSS!evp&efn-`8nMY%iOR4x)Bl!%Hm>mfUsD9TQ
zS#t*B+c$O0tQwEvelzgWbRO2+l$hlq#%MZif;=YqcMW!;lhm_|)i{ilW@|VooWNm?
z6Q~<<4D~sOU}UflsrC}nBg7QrhAe}5ZyAzWC!^zn5va24joORtG{pG}P2LhmJ*E5i
zo2#!<Ue-CXezJ*P_7Z5&+cD&A*pHkRb)g!oCLw5XsgOLbK-i>{Cp-zr6AV5V2rsBa
zc(|%oD1G%)xa-`RHs0<@4^FF6mtn)n)q0$iMLdIMtQF`-*;1-qxSmq%chdJDYqC9P
zPj6LS=*|i+nlV-Cg^H3Vre`SGsdHMYm`+bJKa$0{YDymRn@+9iibUxSc-g`MsQ;>t
z;pG$XWtI-2qXneyTmskjHCVBJGXiyYBWUv>WS%;SMjsnI)wGA%qw`2_lRQX0&Vz^8
z;!D*jC_c2p#Y{`oM6JcF&kLX}PREM+5pe0Kj4s_;$T=sAMofB11HG?MUdACBbb29q
zjvhhklCF#?r3&S%`~^Q-N8#y}t%6<FB4P55S;CxI(}l<Tbc7{`1mQ}Hv9R>ZR-uRK
zNkP@*qLA~_TbSPav0$<)Tv)g-Nr+hgQP?}OUYJ|efv%$`DUDMj_h%#NRM{jlF4HB4
zSV=>5+k~b$?W8^a$LZMx2Qoh5MkmJIr1p>pR6XGp&A27fdbM=Q3n-)=yX#45QU|z2
zD?;N(KlF(kj*_txprSGp=l1F&W#Dpne%lE4W)~*RI101#HZZPrK=}<xo4&#om$Ti`
zP~w5SWs-lZ(iIZl3X#_5F+=qPR7USWGFyRz0dsIEVk9gR6j3&&Ok!ueq2tdzXu^?A
zv`}JdOl{8<YS-8Z&-d2LGVkl_?Y-|LFJJLj-Y{&mxH@2-7*lN^YPu~JCw!eRroWpl
z7T1p#dmS4nTI}vBKI&5{_fCE*ADHbaf4<K|KJH#m`KUz>Q5Lh!=F+LldN$SyvLk;N
z$|i5Im3fW!l|_3-%GNZ0kj=c&DzmTZA$&VISeO<#K~Q`;SE#sWB<Lqt2%VN370w1Z
z2od)@1k0Ougj3;xLWsJQFYqf>=y9M}I2Q0-pr$S~Zk!4|@fuF=Hcq0{J9?z(xSUSS
z+eX0+$LYi#C%WwBMYFs3)3x$o%2^vn9#-$E(X@{4t9HULiOX=WX$Zz0n}Fwvy0E^p
z1UH9nLeu&K(7j}XM}M3#5LZyDbQ?n3eLTPa6b9#BAf(qTOv!(Vsw2<QFYpn}kNcqe
z0C#*+u)&FLn_!TtBXN{_<FWXT>QB3pvc^c#ZZ;K4x+#fSLY{cmPJ>0N7_--P``ED|
zwro<%1(r~LiLD8~%=)xlW;d5zW@~!5uqiGV*)~;YR+M{zEpByWK3<M&WxONPym5hf
z4RU6ER$P+q<y~3p4-dBc;5F9p>K2<2E#<EGJ!Ua$gIK?kaQ115lu>;(m96CYOfR>T
z&CF_G*F)Oauc&UkmwPYnnykh<NIyQG9_Xe#_ny0fM$S7j&Uv1DY395m)B5WTOJAmE
z*}+-w;N%d!ezI!4gkA$=eWD>-=Xp%FE5b)M^ID=TFt|<DW<OFexW7zzVs9&SNxUy~
zDNh$3I!avs!<uB6EBQc@Z0XLyd-T#TnTEglLl0bspt6^MqR+eV_^yk@O?iY4!{gDQ
zU5;6fo%Q{k`sruS8>Rn(Pu726K3l)yzD&Q<Y3Q4ehra(bnZBAZM?bvd41NCr6ZP-6
zYwFMLKU{zQl>z$wZmQ^SpQ)suy;DK|-{{Wz5s7UG9RCyktD3NDd>yV|tHeKtuW&B^
z43(#a=onXkPLto`ZecF|roDsR?<_psoQe3~>Bve-lRP7-=+>5kX<JgzuQ?e#Unk@E
z!({l!CL_3a3a&Y(pml62rZ%NwUTGSh|4hfzDVZofp9RO}Y-~T7gLf)<hz-rh2a6A|
zQvQhO&`)SyT?D<7VszN}1$E&i7}{Ej2`Xh+*|{7ilgqKhvI65XDx@r|O1Si|gnwfN
zKKfQ*(5MQ@lTnViz%o$8SG;;sir7;n(9`*XmJh{<-Cu;0&7Y8C^%2LbKH!`Adnq$3
z5ARpxBJABe%-@m?i@%x3dXxd(9qAaQn<iy3rlMIZ1#69yq2ZPUgN8(0IGl*HgA;MR
zJOPRy5|GxEfa}_cNV$`UBh!*FuQmy0>B;cPO948kL19%oMzRddSdxV`wb|%@F9#QP
z<iS|`JzjM!KzPnaNfT6v0jrBK^T%f-o-M(Kic<WVPzK|L<p`Tz0h5LbXr8V_bxtJ~
z|E|Qd+Dg!~N_^0(METtcto~4rqt#_-%>Rmq4@z;}qy!%uKf~pCF(SSdV*AEVI3O0l
zd&CFWpUcP7l3Z+CmV+WO8{;So6Eia;)<`<`Pe?=QuM}J;O-5i<5-#*g!lX5c@Qh4=
z?cxOZ{Ef%j{CE@>#A90b1T=3>z?qT+$lVel+nIzOyOQz3Jp~hrQ&F)Z9j{9=kmjC+
zq;>D`dP*(^tK~zn%LnLwFTm)+Ptc4glIF>0be~fK)6`NF>6XFeTsf4kRiNNxC01%x
z;q`+m%&DqET}zdeO;UwT|5ai1=SnDzs>He36<9j99Cl4#VR@$%OQ)3J+LO<?qf(3q
zdkc{r@e$*?6~NB;J+6A^p`s!OpM-Y^yq|@AYMBxvD;-<3(=eng1z9hW@%LI1e%($)
z_t*q1>6L(}Gx3<C8js!Y;t&%V2fM5|-0B;Tmp1X}F*E^oUlVZlLn4ZQCE>^X6r2c6
z#i^y~*xo4<zjCvrj@&y*N0*DYiTTie{{hzJA0_R0A(Eu|?Hv6D3Fk{C=5-k^TrWqr
z!V1W~RU#v~3TyXQ<3MgTUU#YiYpKS+7u5)yQH^l>D)`=)-pln0sBSCA&YoqcxmpUN
zE+v>@{uxsq6(P9v6M78%h&6^EaQ=8c%mQ<9q~aa4CuO79CKK*u=^*noB-N#$>{>Fk
zHzi>%CBkxH0{-rg#|-H?2TYHHYgQ~)+>XVUE3t5R6ASHLad7jD!@EWCNScs<aJ@vV
zJ)4BE>SQdjNkzikbW9$UiP(PG7(6Bi1D51L>BM`a1{5Hz;1gD~6~U#~7Zi0a#m~I2
z=xbY!0e>rytY3xl71hwzsKNEH8uU`GMSw;v9RAk8_eKqp{#C<nVm0!{S7Gk&3LLyw
zj;&+MpyFDJQy;(JqUvWT$co^;=@YITDZrA8?-Ajbhj4igO1@?za6lF|Z^*##pfrhT
zmI}YS$xuQP^4b&NUL22*k~rM!DUIu<Sn&K9^g0)V<!fRvXnhPs*BH$I5rbv!u~0RO
z!`e;pkX=rIS-td4oJmHf*{M((oDPi0#4i18*q+HjPEsBe)IVVE@sF61TnJm`&v+xv
zZ~sMKadKig`hTs!sGU_<98?YCh#HJ`sKwu&b(p=p4m+h^tzLB)>RO8j*)=FEuEv(P
zRhY7~5_UD^2whf&G47?(ck=}W*~KvUR0!=)A2B)q1Dvz+u_+@Ljydn7e90`Bcg{rq
zjC2^DNX6T{WDH!Mgz04oh`tq%y+`8^ek2ydZ^xjuE*fX{MI&xdG+wuIv?)ZR+p=hs
z$3|nt;TW7ZiG{9}H1=XVnxuK6`aKEx*(uQfl!ntiGLdAGjjK^PIH#SD6Coc^ru_-A
zfkmk7`$f86ECq8YgQ0B&v=>*QGOrp{n$q)5u7j+p4rBJ$!^XEB8!pzPVoE*MU#Y{J
z@LELp*Wk*gY9yCcV(_90EVD0z`u$R92YkVgyT!QaT!_AVKBA|=2Q+Brqgo*sW#6-L
ztu_-jE$R5Jl7^WJQ?ST02_ya{z}F!j?$hG%s8cK)|3o8lcr@e(ILhi6cHUtyvSZkF
zi$TAJLFF)q-;8K1m=uGE&9P8Vjzh+t1gsO1V7?#)zDLvWAuR*hi?U(<AqR)f<U^QH
zfQ@;d@cmdZx^*qVqr+c;x8?YpQHlM5)%a#uixA&B91pC=;eFq*rRW<Db!x!$f^XQd
z>l=!K>R}jOhu`+Kh#pjfh;vmK6<GnD+%ojfDn)3hR4bf{5xTq(w|aksVcL6X9_Arz
zbq=0sW=r2xCUTq8(D*wA`vxV$Vs#=i0^;#-bR5K(7?e3hBj*^$tSbx;rI@8V>qVSZ
z6mjyK9B#@YthbAB`zazTfg$J}NB5yI=yW$0f6d}yCH=3jr<0M9n~LkE8MxGzg?cdu
zU9aY2o>c*s8x_J~*k?54l_26knZ)v{z@9$U_^42eRd4E$GW?sw<Y+)bO9M`AYm~l`
zMieh>M77v}ehuI7;$uCcoazwtuLhEn5*iySp|QLi31hxuV}&%&uN9+8SE}Xj3*dNE
zTC@A-;YidwbhgUEK<x}H>XC-;Ka#QaUn0WP6VSdb4m!y(65}u$gL-n<)QB+rEyomH
zIf|b}q0A%-0lHDxX&MEk;3&*qCWo|@$8H(J1aFSuX)!pX7>C}&5>UJ=38+kgsaHBw
zc4uMi#vIJvnvaUZ1yFV<M6>f}NmpJ91ECyd?<*mjRfCPI>fk!^8&=(Ez_*x2xVSZ8
zN{8=wsP-LOa+^TZgf*KQ;WMQ{I)BvTk6Im^=F}i_N)`HctiZ~Uuh3gj0?m)bsNYbC
z!MO$C()#6_nu~#}rF}|yCR&`+kql{XrIL(8f24J)b3DdRlIqvVXgGXhIN&Pc;08HP
zt&74@he*t>j=;qW5$J0Xfu+_FIGh@R<Cc*q7NYQEvm7&HMQHBlm?YIaMaMWSYe<06
zm1OCe(=dNeCbV7Op)NTOEBhB<<(5KBy!RRL$)!+8F9-Qn;p+5SY&=ts6V?s5uhs+)
z)9)BCry1&D&A9ol8H+rcai;k@sycm#uJlgw=QZH=v3guPRf}|~_K#?n)-%^KWOXS;
z_dTD{6jKNzX${-4?>&ac<)UTGJE&dD#CElGI0dBOhiMYpM<(EdG)|BD#o(Miht&-c
zmxstvni7fg&mv$K^A^>8-a_vE2DN5yAZ&Ysl>u*XX!cuNRf@ob@sUt;i^3wA2<4d^
zr;fzn)Q>p$g(afTs}$@mN=NLBY{(zw;@ad7u!#7C#q=31&r4D9vm7nGtHH}_G12N9
zxPK!QPkcvmMKi|Lwcyc(ALtwY1IuiGpnGKtPBb;+_oMH4-A5XGod&!ZUJtL_8r;}g
zh3d3&$VPlcjM*0qa4&*!<VUnryvK-vc{sH49dx`iVcw7iKeH5^E=`1?RLf+GV&ODC
z8Vjd0cx;p7GK+-8vIyw*c#Adv!cjji9ER>;xG^&f3M0bcu`CR2JPdKR;i$R%2IUoR
zVdWkP%L{TirAW1JLkz}GjmH*)B(!;_V#d%+oQi*kXP5G!W&RNwQ;N}8UjmoQ(%$S(
z6=sa9Lrb>?{JYo$wWrOn+w=qDd|L5f_fO1>{)vlEe&V3!Pn?_6iWdznXk68d)ZI<!
zCNyBfr#k2^t-<4~mFUOIu=ITij(;h}2x;FkzVrhc%k!}6`#Zc<%7X5!ba-2*z&t$>
zm59gDoES`Y=Fr(DB4B$I-du@*SHl}PoD0X7`C;gX*SK;r6kooF;ABt;Qi4M;ykjVA
zZ-wHi!)xS9@8HJDH;B-QK>PkEG)Oh?**j_7`xS>+%OpHfN`p>CCRSGFK&jIQeAJY_
zap4Q(D1*hoDr|gJi)roO(Dtnf%Ew!<@Nz58jQa)Og}?E*^f!)o`GX6AzhP7I3rWv^
zqUVrSL`-YJvwuwpcW%Jm&vnS_S%a<8xh1NrG~d5|LEM`nC|vr8jna9fes(VQj>twY
zwG4!-r=s)xB&?D4nw1}8P;SbxN2+6PF_AbK_7)Z&!X<8981{#R;@puC>^K;Vf`C_e
zIN=p;H@w7!j<3*f%PWNS4Ti^{5a4(y!ls6y(}FipeH8(R6LPG(&he^S9HLmFlsTP>
zqxG3sx;PicQ6Ho|c@b_sDZ$b|<rqD<M)G>r<I|xg$rIUv5Uroswd^-emHok~?|*U7
z`X6pv{X^fHztFDvgVCpdV~#Wj_MQEKN`+?luWZD?o%QItx&~`TRH9q%SLmGnB6<Ca
zFgT(B)#mxQrj!G}#7vC1o`!@|(s}Y^0w#LJ!Z4HLz+@4RUPYpd#ald@6OMHK*T_2?
zg87ZF5bg64W1WI<Amjyt$Gni{&~qr(KZniI7w~L<fmY?0Xgnb?WEO=${m5%v>+%LS
ze?-93KtxGXG@drb!&5f}Pk08l9nV3y(Fg3CT!af<OHnVa!4qV)5DqusszEcd9=F2x
z!fz~k{}(;3v|&X^JM@Ql&@UO#L4T_xK*6y#O#bp0Q$PPkrR`5B<g}ouv<W@s-#`ay
zF{)i!BTkl~cjXuKTv3F`@B$Q!&Bxw*?@%-`6XT^b^%omy%vZ+ajv(znjG5$xjDq^d
zw^(T&j=8;FqhEb6W=dnLy)+0J8PC!A$}@Dj5s2yK0nj)XfD5|<F!WIXJcU5)oB0em
zZqKoOc@P?oNxhk#p*X4-j`da%STBfh+#ds-?+HkbO~tKuS@^4*59`gJFz2N-=c~(c
ztEmQdFB-61u?2&xe?nXMi>6;~80yqP-$K?=-@&(|zTLBq`g;31>QDR9LBB)44*Em;
zwqfqIKWOGZvBSRwIZK;h9#@agLu*j7sRH+;ef!wA#judhLI#80qqAuadOym<dTAZs
z;*f-OL*g+pL;5D~i&6%BB+A~r!N87T(2?f&Qngq3pQ7^)2fF>jxV`tRB&4DJHqg#}
z5^3+DAx)K{MWT|uH<{Ucuc(w!G$f*|M4=(0jBNTnzdyRJ_m8gklI#0C&pG$~xz7pu
zm5zXcRE%n-pg2DX|5+yDgKYxt*2S}YQanywkB8Q)c&xQbz<vKjte=_;PvKOEo2ElX
zFAL}H=c4ZLBfN8aiZ*tK-ktjrzBk|Enn*R<0aJ&Q37-*jrwu0R9SBPA!KSKy{AV?c
z$>4D;72zPetDNL#$wkMQh7xJYO$jHsscw{uR_buk&=yW=ljNWY-3hFf8O5fcL3n-d
zgSgOd$V+tM4EGN#?`~x|&Stoju$u94E&PkCvAyXXM8wL`d-x@)OP*ub)*|%%Er5FI
zBZNPBh<Bf|VWXCbl$bP_?@ht}l}T(?RRVmo<8XCPEY7ctLBxe<-0z9Pj5krx<&MVI
zh-jRRk3sT`IFt$}An95X*6F9By*LAc$vN<seuRsI?02x`IShDSgF~tkp2t5TrRo#5
zZEb~j+E4th??HIN05m2>p!aAJBZi#B&C5*|8+gcGjF+;n@=~-3FL?^{QsxdGiXd*v
z>gA+MXE{jqzy#cUMv(3M7hBHvf>Wg%K4m}AdWxNW&M!C_`w0>U>d+})gW8^VnAZFT
zu0P9=Eb$y=hYBI`{0Sm==d+m@xo~dJghzK8PR>d}t7{@O=EkFOBnFB6(fGbE658Lx
z@vG<oZvF}b@A)uH-57?jyJ2`W`vFGQhO;@=5xD&+3R_HL87G{83+!y{zMFx`9l01~
z!wPd8i_pn5jSb!vnDqGoz2~10%F%}M*}q^c+>2P}AuPK!f%V5Y=|uoH6&>fLqiKA^
zYs*iYn)zu@DL<Xj;-|jDd{m>zOE!Vrbh(z3y2}1R(tixq^M|lBs1FG}-Pozw0lC}l
z5P8*tlo_8e)1emLT-DgY?mY?i{wm3o;s!@CK8rqu;QB{M^vT67(JUOyNQ3t6WZX7O
zfc1k|C=5rz%pn3Q+aEx2S13AtgW;<fgp9uXFq?WGxq)myop}H%p9MhH>^`o?1)}9p
zFw_D<5p^~kaqpur(iDejZpkohVfSavL!=ly#T2s_*v<78TRUoSQjqmDtJ~qdy9;%S
z19)OGhA<IMavSER%nN*!dq99Ja|LOey%0IP7NUM<A^P}UkZRHdsBH;9?LEy)Bl_GF
zrou_foF}j|Y#2G-{Wy4|2Rrt4V8P0EoK$N;I_sZ|H-5zT8&wE<QI0!HUqbv@2?8!Y
z!?HDxF|g<%dbP8#=Uy64w6onyCh_o|6@#6;kr0%5fP;HOpjj3O1=9eG?(@SD3m=?q
z^}>L^CxU}LSYPXo>$&cD*W?a+a}V%(d1B*IZ<wF;#f#Mec$^=Ew2m-ze~3cyodoRv
zkp?Tlhp=vV3SMniZ!M}skZC<+zkbDqEuE0LHUM>{35d9G5r-Hbwekp3=P_ZLCN4^@
zvSKv%h8PuSic!`@QF56nLPt%6=*}4dx+>2{%Iy0&^@oEJ&x|9sauC~>^upe|6OtU?
zp=R?1!_(O}@quY&NmaNTQI5m;W!T<VjORPp&+;xGdrWiCtDb>1N-2n2n1IUTF|d9Z
zfk!LC@VGGu0!ab59pj5#Z@n;UmItP!yQ0?AnK8ePa7(g>?jk$f8Mnb(B^!JQzlZ$}
z_wZlyJ+@2C1~a7Xuv^#xIY~}f$>9d`X<lgI^GA49F!tV!#3k88T=U4pqR)>p)bRoq
z-j$GwVLie3Z>-K>eO=QS#@Jmb?#xf3=E6itV)RKulKP{h$n&H$1?fxEv@j{+fh2t~
z5T{4dqGWtSh;D`O)4?Dfntzv*a<j+r@a!NI=lsF7@eZ{AVLgFBGd#5G@jAX5GnQ50
zKpX4L9+zMs?<t<KI_RuY4rV!}Lt8o-i;LoL&Lax`w;#aTJs7g=`#&r0i_CkTI4$c2
z<#H#yh_=U#2pep(zl+^dZsE%0bttbh#X#dl)V7?%iv6bn9Yd%W9Y;X*QP_JPfw;&K
zTt9IHmlKXMZN&fw{7z!<-Z}jFdkOQVn;}xd8Y`zbV8u#zWZd-!-_QfJgeHRbR4&so
zOR%7{62!DWHN7sJxIPN8Np4ct5F(2dak{izhWwM{X)5P5ver<bvxgPP*KQg~f0{y)
zc5*a5UYgdNm!OGXB6LqzkT&`8lGRsEvbZshn4Nzy<46w_!+tQW>nn2JG~z|h2gKC8
zL&2=q(2sqN#y!taGXD|Y&d<TGUFpyXNx~X|IP4CH#7gZj6iWo5e$)@voZfh^>W=;s
z&QQp=hl`pGWKZ2jTZ|dhWld3&bspYUr?C6VF>rewL`>aotkd0wAD?ybIv7y6y%uxq
zG@+Zm4E+;}kY_Rv>v?A5z!PN*_)TZ`>lFBB$RMy^0_%>5qT#0?n=j1AvgrSxwZVa@
zUSnFz%?GuX*Y;{HE$G&&UGqyz+4zUnrt{yl%J#QwB^_zk>P!8mwbJFMmeuNREg|^<
zt&>g@T4p@FkdhXKk(NBlzNzBGspT-Au7fetqu|RigMlZT|J)LS&&$)Hx%CAO<u*d<
zT`zu~;GvZ5;^e((Dy6%qkcogARhlfMi@A&G>(FAdGG9bboad8}+Z;MquR_jGr&G->
zc{1A|MK2bJQu<y23NPlSLw%Dd?;8Z&{tYk3pRna?h4AlB_^nY3wU1TcFDZw{P#NM)
z*u=WI&rqZA81-8o!ZJGx*Y>AFZD|S;brTU49EZaTW03MM5|UFQaNptqI@H3jZ9ynP
z9YUas5Uf2Jg1SE;C>RJu{EY{gZyAAoBGK5mBn}~LC*7~rY3QGwjo-2PsLXl>#|@=$
zS@jmToocXI>=T0HTk(_Wsei8ZB6asLd_pI2Ri2BkT<4+9?ENx%#!teL0`!JUkPJHn
zsQQ=yIbGzZ3rc*%>BvL*>0GoWj)U^L#$mm07|;Ft;ZoQGG<Sewyd4e7U+~{vrp*P`
z;!yv4EH$ct<j5;<B)q^Qvm(4cTYy-Ld=#_(>;bFI8@*GpVM7wi<>OJL7=yIEk+@Uv
z0QZiB!g570GPVYyH#PtXoBh$g$`8k^ePOBUi#-c`ai1|dPHuj9HS7=N-}kZHA{ZhO
zVeq;biHfhWSiqMItNIL#@6E%W%g>M`R|Wy~cbH6MUcinPln(wtoyi}3wjag~E)H6I
zoSQa)kAy-5DD8w0sk;l4zlsPc%@QGxaA9hU6rz#Uf|O>-Pj1(FX`wndC6}|`h0{0;
z_YT2Jpbx4KyTEtu2clJ(r_tAh*19?r)K%j$)8{IeFn`FE=`{RBSRMBS7tiHEc3U>v
zVVRCOw#m51YS?{yV<0me0n3+R@O~bQ$36E^xYZx6pMCHn!3*;;J&-uY?lBKnNSe5y
zF4h^@tDW&)!x>v+oH5nI1%v-wv53zDTT;Cc$LWW6Vu8qQ4n@w*C>;Hg0A-mBv<c@U
zG_MG=Ctt(5pavzSpV89x1NR!3Hg|dqEh=1;qQFN%c7k+DSA-TF5Thl@;uN%5g7P#a
z$i-2d#I}l&$$b$zZzDv#$^x|3ftTh#=OX^M|Ijrs0z2se@N4uyjOo|w(pvFN;xl}G
z>R_i{4Zg9rc){-RiQgs2QeyYh)kom!$YEM+2E5j%;Jso3G?il@sS|+)&rqzL41}tW
zKOS!L!G$HB5L)Yo=hvN~-sAx58+OpwW;;Q*TVrD0ZB%c(h19?1xWCg3{ikjqN%sc!
zNSR?>vpLSbx`ow$?!a}84W1O*qfyocGk16*-i*!63JQgNK@51BQt_}e54=npNWS<E
z@2nefqVhYY2=rrl%_M&R;-L#of|M*TMx}Qo$$L_o8a!o5MN^Jeam!JwkSuXtkfzG@
zl4Kaq{!XDVy@(K?jRw4=BEm&qj3)5z`5<aF{$PE12dW)dt!exj9(U@1g7?s3zT-vq
z?w`9}jG}`D;4{p_Cyy+QwxnYH-b94|h=F=&1k_DK@%v;TDzCAcC&~-Ud)y#>&>0_^
z?Acsn8}!}2gX@|%v0>p=1RXQR#)`9WyKM-gD@Wm*au8|D_u`_+PCQ$;6|z;j2(Hk^
zZ6a)0r-dz*>+w@$J!Xlm$G@KS_*JO|h1!iMU9g$eDr|;<!+t0a9Y>JM1-!AiiIY}#
zXq@5!A*CR!_l(7dL)oa<UxHP-)v%~(#VN;r1axy!N|+$|x=7IJt8(P7qCg@yXAr-!
zGVKynA(_j{6j?fh&eL={K4mIhy(vpR?vkWvDN6oF1!=YpFU4-+q~w>QP~F;(*HgRD
zviuuX-fsr9>QOkq8e8@-k0+}P)w;#lFIE6a?mXzLX5p7{Dr!F`!0|e}W0pi<gIFle
zi3h@UnIE*xy<qU!4b7*W*-SqN%x<t@n&(|)XIj8q={ouwFT?8Rd0gIp1_vb!F?ZE5
zTzr2RF6{>(X}u4eIeRe6cQ?+n+0!f2cH@QeUg)IkhrHQg_{ASb`lT}v8oq?9<~Q-u
z-3D*?UC{H`hn?k6^moJ~`9Kcj>WX2fQH8zpTbL)`gSK@Oc$mjaw^xWzTcad3+>#@$
z{;8C)VmkeSA}KFsf2K~S@%hteqo+Leo66ADAqh&;7NuR+1?fo$FNMD0Bv1Kq9DX|h
z+b7+K|M?w8`@X<(q5-B~Yd{kf$lLx3;guyAy!#ZRNAj7UpA94TG^8~rV&~piRCGk3
zE+P~g%>yB1><1ROgnTO7FFWLfivREHVzpyZpB09Wm|?}R3BHw`N7>6$csqIwi%uNE
zrQtm=dcpRpmTtz3iH+#Gv;h^<*1(fr6Mt7O$IqN4NU>Q6)#Q0lST&dFJG0?bpo-`Z
zGvN?86T>rA;pICEJH*)>yyE%T-?#*^J{sUr+koiLdXN}B0O1#BSq))<t~5us^VbhD
zccRd=B@2shJqLfmM>K>n&)jVchkE!(^P)IyYL}yMQAKLcP$ALmS)?pChnxpz6PNug
zdN8R%#W6GJ(8Fn@d{K_%dnKui)$t7j0%RM;LkmnfNV9zyJX?CPi}@Vo%i0j0+ytZR
zwWx5YLTl3-9ASQ0_=Y09-S`CQw;tl**G#mUrQ-3*M68(;i}&jzvBxG1!+(Ns(lr19
zdwe0V*$a`E+)-ZYg1dX2uz#8Z0%ouoS!ZluF<_04v3Idp@(z^N-G=)5+qkvh4%UiW
z!#Rk}VR>$g>0u7w(qQwW!aPvX%HBqaV0>O23F{4sh*_J3Ot}I$uyZl*C-bFkSRJ~d
z1FqEr_|WkWPE&ZvF-4Hxc!<)uSP63dB1L*@WN7sh84@*-p(Do9q*5VCNEN3eYN9mn
zkPsQ~<)@R2cqs8N2eq4yF`sq-%bAz=-|?Ra)oMkjUK8pqYtda>g)aSaDDaozc4HBS
zYS_Ei_YkEkvcMmlitQ?ij3<e~FP{jAS%sq7E)c&`{IF=i3x4|USpUVDc^D4J-eQZy
z|E%F=dJA@?*Rk)E37WQFK%4U!Xek<kNBkJF&mCsH;{iCc8Kf(=?#A`UJ2AI$2h56h
zK+Sb02KVnqiS|Ck-8qCei;ttumhHJpyNuee7SN5eMZTLW*5vpha8@|l8<J2~l!uY5
zQp8;UfRov6c*Nh2>TwQQz#~Aq`eHP%Oqw_qrjW^61xi*{q?J{Qbo7)WjZP>~!JDac
zc2JH6lclLkQi6&%i_p0X0%Y&PLrd~FD6^mG#u<IgljwxR_jb6QXhzMHdI&Hbs!ii9
zcmv9?cup}6w?Dz_iiZ&Uk_qmqsd&ly|D2&{90?AG<*^WqZn%#xTE5t4;EBLsSMc{a
zLi&sybo;I0veFXXg=}Ar<z-}FG(v~hNnGhX%2<+v(AD09kWJfh!)7z;*}3$8vH{nM
z)<9osCEW8@;K!4tm@{_?wD}jI{vyi*pPLV7iTO~vHy{7iFF?hr#Yn1LifgYm(0p_q
z_LOcyC+&jolw;_0GDh_KJFt;*!HZo1s8@}_Y4dFKO@D#lmmjf&u{+xjk7BtXA5Cl&
zqhTjmD)CgHGF4?Nnx{%`k+bM;^eozOj7`4eQ=zF%ic~*s8Yv9R(vt{DYSt8`!*v4m
z#fyiWOgJc|Zx{y*d+}}lFHGImhJS@kXtS=xfKwF`tKVSsP$?|si*Q2d32rZb2+ez$
zu;55Vd{P3u@5I2E)zGil9p~8-2(B~!c+BI2^ml9q$O~7@{o#b%RSrmhW(y08d)VA`
z2cjD-k+|$8uI1lAciT0LlwF0G*;N<{Tmwhob(F&#db2HAuWF56FI%QfIbwc|8@TFx
zU|t`D3(b+R_?d*{t{lw!Scq+R%5jBpP$Nta`T6J%PPB|;U^Wkl?h&N1H=@*JB1vKM
zW$1FREPX7KqqF&Pbfrm_ly}OI<q|1+9x6`yIU;1>B}jcb?04G1MIXfeL2d6alG1yz
zW^pHYnC5<&@gcwB>fv8gjhuxQ5X^iDIRoZ(t3L(jvV2tR&1RZq8s=~&VVg@Va+gQq
z)_5r1w*^A5!w)XP-l*B)4$C-aES=$ir<pboEV%=@LpRYg`zn?!G)4{M>9xL}z|pWH
zi1cMMao_I7%&ps@C##3&|82rp4A6UPJ?=eSgM5osSX8Kq%MltdU9JHEcCQ;XYQk&D
zYNS768~Nf07uEC-ZN3}El}FHR%)Vh)b0}uop<cujs_ntBTAqNPZ4aSSR)+VUbr@$p
zY>m<=^w059uBs?~9F``7*s1hpM3Iy}E0fcXnPhfqCUI<3p(rIK%KL9Ry-b<HG&~vF
z9wR~XFNzS?asjdy<smgb4l>XkhI92FY)J1w(Wh3N-`9k2nOd01S7GX*H{h>+f#vrK
zA$9UGg0AF3BQ*oBrBdJ*5fAnK(Fk4=j<Lld_^{_b+Jk+uklzcx@4GRd!5PQrIY4xw
zE%qF=##Vhx3>laqz4QtSeJ-K9k}<!IXJK4+3VFeX%=bP4o~;Hb+-<--oD;Cva1zJP
zuzIBNJQT`ISj}J#^ZnMa8MjAFrW=gx{9tq^41w(D*zzR{|II4I2j&^`k2he5>nE-b
z{$+hICzTBGQ>>dPt=uF<6BDvj899X(FPKIl(bH(N$~202K7|ga%h6*Y8FCtxpikkV
z)GQ}NN6q-CvyzK`o|r^4hHzvD;~CsLkjdGGyp$$5Fh1d2R239D-e93YDW-E3!MXA=
z)|BRA!Pg8nA1ej1cJYuBjK;0h2S_pvhTHA{%-qT5A{%+&Rj3P=bUL7Kk1f*T?&3(@
zO$2IOh0^nj$hAC!c?Jg9Z+sXEQG0Rr-*%|kZpN{N8^Jfa4vRZi;@jkMXs=j;^Dgso
zi(?LA{8gZ!r-*6OrlO5s7KM_M;LsEWhq)kTzUM`?HW$RBC$wC;2emYe{%Gx$`lY4a
z*`^iH_gRZyt)A^VsMa!7tk7E9{8H=ByAmy)-ltlwI*+t=SLbL624-kkho)$?d`r+8
zv5eKqFpAQ;oFA_B_*R%!Pf3WDTw<`+<d$Hq8x_G?RmVcL(w2v73He5Axx7o%655ib
zrFHu$W9M0Z>qxWKQ{%r{0-S75h3z!VdAtOB74^_4e+~;qnQq6<VfMUq@L4eCZXNSz
zBE}H=Qi#s|l%q~R6*{<aK23Q4N1FRrkW`2|&5Kz<Rv(tqSi~Z-xT8ihKF*}`BhzW-
ze0h59ElGWPBDCIspB8-NBL6)TxR(4E)v-+TU-}b!HncK6p$R#Obx8SLjioN{V0-lq
z%%aPnHT5~Rzb}OJn*#K4J%)@`9`<YG;=kqDNV=Yh%@gSuXWrD5KdiSmOvR45snF3$
z#p04w^gKv|@|ScpIc4HzNH#W1WqEe4N6_C_02L9&;;6oWr1vYl(5pcC`f5ZmZ*Yo#
z6AH?|;x_Z7Eb2S)+v*QC7Y#tgeHbg>k3s#;B;+@7(BB~rI)9LpcAsG$#B5ID3*#WU
z*nij?Jb@OqG5j$Y#_k<|F~Qk~CdVFxcK$-VCSxmav_UMT1v}b4p;@^e9p^uww}jO#
zODb?C=QaHHmcfGg5`Vf2QPNX@N3xHRbS4k>UvqH6Eep5LXW*b!8e(6i;N+fUyi-iV
zr6o-Jb4x(L$^>j#oq#g|37EAf5kXgzU^SkM&i+))KAM5$n%Qt+-gNXP#wA>PhB$%e
z;9yM0>2(#5Wqjthi}kQy*bH&TguZ87(Ei3AcsBN9)>+2x{$E2b{fEjmoTRymi`X(3
zs+rDB>-f2;HjIm$esI#RE)H@z{}1}U<G{HQc>n#2qucwi#;ONvJ$|8;dHQSZTET14
zjH;`RSZdC+5tnN4XT5{cpEuaQ`6Zm5KF66oMYt>Y6o%g(;la;`_$r%&5tB@`kEEgL
zVG52VC1FW@0xoIC!=<13EWcv#V^IuVJdZ{~W;9$TqH#Ml1}-mSac_4#@^&TS@#|##
zDNMs6^(<)4d&u6N$GCI15O>*~I%f9<R`yjecvcH3xz7kUX@f^HV`LJ4<GSu&M4cN&
zVfQ39F;8m4FD}v+;h~wOJk%=7OE<W9X|*>G8NK1AD|uXW@gyh7C;x-F`Z(OphOzbT
z0A3ycgZVSN7=QZ%<9FN8x1a@UTbL&oUW+!<Y9t+ehyDX^5OAdo)00Zj%vFe~cb<TE
zMn2lxb0GaO6SBQ&Y_CoVa`O`5VHA(D-Lcqf9u42mk=X4Vf!BA#kzDowa;G1_>-Yoo
zGhJ(+LpVMaN5IuA3X@4O5I7SLy~HFW-AcpjhAixRk%x0Do}ydnIcD5^4YheyP@GoB
zcBwIbQj76mOS+&{&3FRt5u6C0L|h3cJ*(iRAokvUcHyH<8vJz5n4dJ3^V5D`KH7Vq
zms+>*kji7`RrGRDz~2d^Js&~*@xQoM`v+kwyKvp>2R8m_MX+`=^ZgniG5;fko>U?K
zG}CD2y<*<z3%n95LddcL<TCB<%eNd1-OR-BiZqB$Pe$l}3D|vu>22Lna0rROJi7<j
zl^lv(*${-j3PQu{KzvXNWQ^i{Sbx8dg0q2$)(>K=YcM_*G7SUa@H-TR--2<>qfCMn
z^X{D*b6~{v1p0Z!So-r7Zr!ee{^5Fb9sGisyMAJ$>>qUA9D>F6N$gv}MZz^alsmvj
zU7iATIYN*G<_eMGJR$m;E=b2;3Xt(_e#-vBOI81vX7`hmMt1&#l+P%**_|hm{0Bba
zozU_9jwFw-FbHhIJyws6byTBr<vZ+&d5t5BOJP!9gy!f1G<)Z>8JO(sH)b$>B^CMw
zi737hhx^*mklq%765BBN^aSIJXCNFe2B6E{4`S^;@NxA<wT&0rt2_~N+Y_1Io;WGz
z#ePrTm>ukc%V~aCb?iQ3GJ=tq`GD0h(HQ@jfRTwbw%;-r{)SHxVO<KL8SjuPUx%F=
zzaWzF&|+u%aJYLE7teCi_zxcX-p)^dw+hjEDG~Bn&h&sRQHl#-UQ4$KJuefcm=!|g
zrzb!j%#T``&P|3&oOG{a98K4TFw)bDV@6#tVR!8$V>HTUGY#`+Etb80kBnDuk@fQ>
zl;%H2koz+PNk4{5K`t8EUCwKfifDJ{53%!oVr~@N(;ndH@eo+748*tf{@}jugXl(2
z$e6if#THlC9&v_7x+Au1bwH?wJw|V`T#kYr>pARD5^o32M0=ELI-=Cj8C>daa47Ud
zxR@V!76&0`PB=m*Vj-NB3ZAtO5$sY3dz;r-K2d{&SIsz;&;gf&132u)7!BsL+*~R^
z&Bemh6(~k85+vw*7waL;OOf0{DH76=q^0k~>3fqXdAbPGq8<S{J)Mtw=5W)s=^Ugd
zIST%cemGQg<M^u|j6MGfm8nhmdZQLkhpM0%UJh;JGT0q2W?XFnj%4H^Pb?dM7<b{e
zJPC_OVsZaVBvP5bcuOW2%M1gss>%m*PI}^vyc<^aIiaS{9y=9m@#c~>k{c{BMbjL*
zW2~oGVuH4&i<lyL9#b37B4_g%95p?SOXp7GwC))QFFJ>ND=$Fa{W3atvH7$qmiTze
z25H|Mk$TAkyMzL8@WlhH4o$!@$82o9REUF2TU>gB)qoN|usv*m^|>7Mik+KUR`>pv
zl%#_%WGLa1JT2g#N=AWGX}0=Q!l*pS3b7i4WlscynLcn#lw^Jj(v~xP^yNJl$=Xd~
z>zyHdX3XQ&?hYtjZo}o7pP?yKhjp{wBkpoJw*Dx^AJ-zB)qjG}T@R6LoQZ~%6x<h2
zz-`}X=xT<eY9tt9jR6p4eNxwN4>YN|V%k+l{Aplwul1SM@xubLde_iXZw#S;voO8O
z=BfMXBdlg08rSZ`zDhkfx@be{@&-JzSPkP;b?g#c$~3oyuv(*rE7G$dA+HRr&C_uw
zaSF!P$)ZG13g0Egk$Y4GW4(gd^NAm~X7Qo?6A!Yac%awJjfsOi*!F-I9v}JfQcW0_
z-iU+$uPkgk6~R9;7vI@zSpE2oupZhEvFwYO>B(juEcIqwUL@1Db08r43i%35bIIz%
z8Garzn=eL*yX0v^Qi%qq&!$POd9>o%0$NtFfRr8P(~h5WX<*YVI{RCRL>DTMgN7X0
ztdS%?eda|Z@Kf#*_P%#b;Q7d3RNU*q$=g3*)Aj}JNsY|^`+(uqm3T4m8ajP1P`J1V
z*O=Gfbs!J&>$36kP&$MYlks~|0%U&1AhkXcmYm_JIUR}zyump6<36^D1wiwzA96SN
zLhgVMOkaB=IFjvk{^5;1(LQKy@kMK#KW=jcviZls2n%}vU3T{$`V-IinN$Qw<sfa&
z6a4sCf_XyaaE`5ku1ymxuYH51P7j1i2eB}J61ji5NM;Hj9m)`(4VgkzAuU3u>O^QW
zrzjPMh)_k2Ftr~QqWiG|WER0k3y<?q8`F?qF&3rQcm!Yg2jCXegX~2eI8f2Xe&%NE
zWVweG3mKQqJp0=1ERW<-idTP%@b`KFN)_@^{w*6(HLO1UmW)*9G2~drK$|lXmFZ!S
za1Mry=Y4E`;RnYB?2NwhgunxLq-DB7SHK0Y;+-%W;0UkJ4*1W`0r&hIFmI|O3KgA@
zmF5ib23IUi@__adwkz&>02=H<Sf)G@n^h8UIXxZ68GGfYSd6r)H;5nqfNIkgeCX>y
znbrWTWG2z(%T2+d{A4O1OlwL+iT9~Eg$zj0`b(1Jx=fO4_e;>qE-{J~5vBj$2~n<&
z0ChU^Qd0sKT|e~?pAANk%h=naN4nvDg=M0mzQU{b6W*V!g&n)AZf2C@mwOq@>l7m<
zmvO=W@*riLjoPs^tW8V86x%o)zZJ#iem%hBs$e+&cOU9GzKB2S1?~mzC{T7m*ak;5
zINL#v%LW1m@1jxK5)U?-<Hw(CP*A&q<e|&hYkCO>V~tUeVvOtImtY=bf@hDeLTIKr
z&J9{&;bI#U7C4}3r5h;A2OpWw=UEoT=CGyU4%6#*I+j4?<vZ+m{sa%ZpBOXzi`p+7
zWW>IK2Svh^GDU*iou$c^LypvL%2UsfJn8tzQ@NoW@jJ-S9%U(7uv?tAvb@`M=3(~S
z<s~N}F6vt_frbNv*c0^|$K*QTmDdUprzU7Q)xtK9@fI@Wun#Lm@vb7)OER{UX+@>`
zGjSmz1!|%Rco7_pS)0SLMJ5D$CIeu?>x*A%o=`G!g=L8&?rPehpv)Q>Ew><l<~p`2
zUd9XoBLvPq30||K7#}%+%UQdT8?g=XWxDK)Y((qx^;i(K8W+km5U0U<*3l){I&Bfs
zBj+P2Obv5q%*8T|Ik-DM8~v_xu$o5=`&mz`ptl%)SC&I$&1yVqCFCY;2XDPT+c$Ip
z8m6})67P&p%L6c%@gaZ2bI>YZiguQjIR2so8K=i#wwRy(S&7rXmvUrLHl4DyRVa2I
zyK`>NrYqZLQ(C<$74BD|%{(*c3ey2jx5?5cGfBEODMDJl0;HnDL&sG($eDS-nx%gb
z>)U~kPg<e9lIgx&wYVi)g&P;%Aa48x{9hKr{N-cJ9m&Ns{Y=K!reI4{0tOvoknSIW
zW$!`}{2$Z8pZeqM4IlhG?1>;_H$<g7BWJcF<f`qEmu~~@W^3H@x`S1tmIxQPg>P?f
zB1Qiu=DoU!m5XoTK!O!C=37G}k$Eg%?UB~*jP7C&)HwRViFxP8|3;xcDw);Mx!`?V
zh>7kuSewfDtH-U-c-w>T9;4XCdf`p1ej4A#dgI^X6q+MN-QJAPaFivx2wB?jM~3vg
zr0H~+B#Eet)8%U-G<-#n9GUJmm7AMhU;Kx&HN(i?)`zIpPOK08hKk!Qxa-^i>7p9!
zQF({UDX*Y?;yE1GFkXG_BZ!{LL1juh#2Kqt6&J_&lPKI$eSk@cV60XQz;j(6mO=7B
z?4Sz@Z#g1;x*al_tZ~rH5>{7k;BJZuLgrmSYUgR}88iU@jw9GPd;o1@d+`0lPRv@m
zjqT;qgO#=}RO2?GAwwH3mfGl2-o!G1I(TZS2Oq2Lj9J(N6&`)&kDf$S$0f$#SR&=3
zJ%oKdFd`d-{=YGpoW=Gs-Yde->Pq;$Y+<v#e}kjtA55+I>FyCR+O$oEe5Wy<B6>RQ
zZJ0ryij}DJh7v7Tm_Zg_6ew?S3LSEnrPg<nq}(D(&W(a(Tgyu;S~+Qj_&D|j4d9Vc
zH)gXOU;xWN9JXvgy?zZ;%qpPu`X$VEmEfSjQ`C0nL3c6>hc(k6aX%4H6k^f!JOZX3
zq0qS%hzAaSc%S8kQ<H9(G;)SHtFhh%+rZ$(9gKP3L|ph)DE>A^uFW}IKXwvJZI2;$
z_z=E5--m(DT?n+;j@{;4klw3{grQCN8>|hpKN}Gwp^X>vn;2`Xi>D{I;P2lZ;1=JH
z&@V@ECgLpQ?62ajp*3!mI^o(~ALe0&!Ac|v^`&`e3Mzx&rdoV5W;xc-L6&3VrURBj
zB*e?UB_}xwuAN4*wTjegtwa~UDN*W7B~oR6!m_$)#G4^c&I&SA4hhQGC_;s+1t@(L
z4;gIdp#HI8s6_N)mFq7&c-jVI_0KT<U5jeQvb#?!N3LxtVwH*@-T4@DZMm4sn~AAA
zQ@|!K!fbCe#)QIImN6KrEdfv+^+DeXPt5mpg@=F>L?Z1_bm$(_PS_ro9cBo>V+xnP
z3;36E25y-r5X*CvW&94}St{EXAhiqU+qa==@fHmK)5U!ww&%ub6YlKUgbH3AoX^!o
zyWJL;g|b->YWvtbbp+f-r_o_&0{UTv4g&{pgm~iBe@qKhi9_45Yy_1Q<Am&cOy_33
zh;lD#&6#)7$4^(Dh*6o34E1fAO7+>(skm|m9f(w-e^8?R^@^0~qd=`p%Y3y$mT*Io
zE;}&aim?p)Y<Vfwht&|~W4IzX0In}xke&F30D~4(vTW)S*7Lm+s6ZLZwx0P_jIFT+
zY_=-<)*`ZS<x?s+)+J)|^B8<Kj)42hP#l^ah)c{vRyFX#NRk@@WS#Nqfjt~`Y|uUR
z4jS9d(bsbYRjZ7dR(BR#Lkw{?|0rx!4`F@lURaK?83yLt;D167fh9WNNzq2%qKz!i
zNO0Rpu$s9MoBnF!e3vd(vUB{jcQ^K*IE=?xCvjN$GSXWtv0jqRt#R^1#))8b2gN~J
zH3!bMjH@uK#(|VpyyNf3XB$p>EzEr3I&o@>lcm2p)96N^B29WJ5#JhRs>o7e_xudn
zl&3&v;---P3|X44CrLJXqV$<DFK3tX(julaS(l6=Vs}3*)VlCpmu0Qfn%SPRdR(Du
zY&Lp}rqVK;IamzysRa-c%)@QfEV!Ocg>F>>Bn+7TBN+kT?;+6od>^#~zIeUR3y<vF
z80*Joh56d!_*NTe=rBG*^Cs>ZU&WOl#<-Du4p$3KVx!V=v^E@O{Mddhzp)3K&+o*o
zrfsPFyajxB^)T{bGyV;2#txn>*fDJzJ{;c(&9S|ZSJcOgzlM-`bP-oW%whGz23Z?i
zVes7#$6LeUvnU1MGZ<^l@{I*StgklwftWc%Oo!p7nw>(F9W6nzgR<nHIE@_tO{cp1
zGbnUm2E{I)K~cA-Q!~djy4WR0hnY{hJYJki3WVtcV}hT2;3k8ve<(dY4C(2;2$%bX
zb^F_3Roevb`?cWouYz3p8_dxtMNxGjio+h`xL+=2<uG1<G#OoI<6$!x#oo0C*kBoq
z4VMGherg}=XAIDM4p;aZJF<MLEhNLN@w@mIR@z-h^u5c#6C<Y8oWkplV{mFagafMk
z5RkeP`How0E?<|uC)$YI0MsR~hga}gq)lIg6*{Ytx0ual>s^h6^tG7nz5zx#8}V$P
z9u7zCg2Ttdm_6?d=GI?Dr`tX36?4VIfBx`39fgV|84zQ6f{X)|xU2L98|U`Iy^n*$
zzY0)?lmuNPIr^rlKx*uaa*Qd{;0qO6yG4agJX9iyb&51aW*RwPX1<n%6n#G|Mna2(
zNI`&)9*=O6w%j<r*bKmPT{m2H*bIP>7I>^|VA+8hjIXS~V&9j@Q!PR3_X1pR$V1$4
z7L+LsJ=uvc+ZGFBp-8;z3PnR7^RTA-L&nG(owcl%HF80}q9e42Y?1!g8dKC+U0P{|
zzfZ5AmhTcyWEjD*<TT598X|o2ah&>i1cT#;(f0lj9-lviW1kN}TTdUU6-SZaaRMFL
zXRyu47+>qJ<J9uI`1{@-pVZu8p6ZW`bKzLDKMA5|AF{smInEz_kKs}_lR&=*bJEB0
zX$~*(oDe3Hw-PjWgDgn|O`*%>(`awK0&%@ppsea?be?M}<II?!>@H0vjK6Y@6`{dC
z0SaEhOWe0ONiTE^#-;<1x9CR7<L~g+_=3e<4ajV$LGXA5l=i&B`MMH3b$$x(v-$A9
zn2p?kG{}EXWd2<&)^tWd<3T7snFL~rfgc7hc)`nu@kAe;P_Wb<HSzaw_>vWNJ-LD7
zD@|~|%?QR%PQtA4C{lV3VC&}HNG#uqRX26uy&br?m3>!NG;yP78RS+j#<GTaD2SO2
ziBJ`A7b{{?b{Z5O$YJv_Y1}v@ftUWGXq+w#p&<dr$?;?UM_woo^I&T#4{Sww;jh65
zp=|;fG8e}4PH|Lxk;R)pMMNK)3peZK=r~BQU$YOvch19S`8~{F+FE5}IFg1kQJz!^
zIrm1i3jJZ<1s5586QKuca<p1z1~u%RMJZWoq@=Qd4&*GL&hYuvy+Dmp6K7Gud1Z3X
zQ6Np`xpFi9fs66CUzQ2bvK(#-`7w#?Z-W>){u|oce&SWkSL`tOgvqNPQC?Sx42L&(
zW>Jc%DMk3f?!wiKB^VB6{dZbA#s-q%V3L5|8L>FP6NTd{;h>wLs1gpwl@`V^4*BE#
zK|eg@^JV?B4}{KpW5xn+d_Ck1n=x;cO!vjBGCwqM-^bYJAY48k22uA&+%}1Wwm=FV
z?axB@u15&!DuRa0Yn(`akB98vf7G)LYwvVHa@JqW(wo4mBV4p6oR>t82+&SzA<E(t
zp{-pav_oB#R&<K6dP9T)YK4erF=HN?o}4nwL-B50R6qI;4ymK~to;{3RllKd>=%CY
zw?j3w1(HV^aeKu_$StVCQ>}88n3XZswipJwPqC&gAB&=L@Z2r~5w0n)%S(X1U@SJ+
zM8bvDyNygUozC>(AYp&-ob-WXmnS}?xkEkG6%k#|czu;|={k-$c-a9C{q~sCVvn#j
z4%i{%2)i3j&@py_1fM%j?efCnLw?|z7X;C_573|!ix!rV`ui*gkK&(V@!FSoc=$a^
zt3ScQ<U90#|G^HCG3?mDMUB>c<hGFUE%Qam{DL@HeUqT6tk!R0^HcJA*ncwyrn^g&
zN=k)k%MQk3hwxGTGj7s-#X%j8V_0JT7fP3Y!{vGh%YL-sa}CqM*sKqc{A%nwQGpYS
zUO|Cr`^(gyLEYpLQr<EKV0#93{z=BC+;}90MI%2x97{fg;Dl-*-ue4MeIe75ez-&a
zwF^#HJK{92J+7U$K~4Kz7@lD@I`e+FKfDHy5K|<GU&cQbV;Htyz~+k=AolJ8rpz_Q
z58un+Rlkb-MT~)rzKt!-Hb|{>L`a@H#A5wm7!?Yc>{x7m&v;~3C%S$q!|Ho11LF1t
zshQn4<u{5wM%=WTQ;=G}i_)@wNzxXUC1VwNN>HCdj{Bxik)J$C$jDK1zcej8AV~{Y
zKj5V#OsP-!Y0*X=(k|toW5J_{D(%Nhxo#-=eaA4%)LPGIgay-VO3t&HAs?9EaPc_=
z7CwWA%p<H}wT#h$bjB+t!Eja_f(jxr^LiL2^n#$h&L3*qz0rNs9X|@4VX5MP8DTa^
zI(-Khip^2B^9q)TU&Mxgr}0e5012jtnclh=12H?0;jD+mNNsraFpli%8oc~Z6Nw9#
zqy54XEa_bUzcMvs^v?#jttxcbKEe+ZN|-6E1nt5ZuwJ2rPG@ECx6j1EOLI_nU;#Ah
zmm-mI3$xk(GwJ$n?CU>)qLbI4b=MAYLtc<j4re-g8f4}cF_yC$RT<x~fz|Dn%##p{
z79+0na+LpdI>o<Nq46oRiSywc>MWT<ttPXnadalj04NdvLk0S7C{LoFq-aP-jNTRr
z(rbNQ8fW^w%)(K)-0s8AWt~XXZAU@wXB;<Uvk`3Gv%9n$-sj4&Tb-T5)de_zEf23h
zXW@o<8h)=&!s_L5sNBmk6A>)4Ff|0mMfYLEzPsze-bi`xf!uX&c>R@~zhXyhYqiIt
z&2~6AW`nbwHduP<9#rSwL)D3U7?!eu)plEKm|@RmojNk#&;=Y!58Hgs7biJ`Aa##T
zDgG4)x7Fz=XKzr);S$X4e+vWNdZ-_4gJVn&c14b$Z<3Q#9`aFlwGi2?6r;>)3DUeT
zMdS9;v^GJSzKBWFwkk>D<ddLFjE|YFDNJWi2~hMYUaH;9MTaqod!0iV4ey2Wg-#Ug
z{)U<(EjZ@dfF{O0zBPCUF5cJpRrMT?N}j>3;St-p$nvpQnV-|24B>!ymc@(4<MrW~
zrX9lk;QLU`@I?>vYC;~kvEQ#VTBIDXkkgjwU)JCax`oa9H(+RL3azgfA(nFv2EC_n
zDf$HV)gHs~z$4f?dKl5-hr$2*5UjEeBhmZ_#tn`m#_J@uFEfITsR`rOZnBv*_po-G
z6JGxFgaPyWKa52oo7FR%(T}ly@FjGZwo-bt9nHgiC~;=~#5{fyP!Xl|>!fJIemR=C
zb1FqLuC}2@fo51L&}q$S#J6M$#kj~)(iJIs%P&qI7ulK2<)`%{%q!OBpmePfc+BmC
zo;K4fg4;27elxiH>+q`YJ-*I)3mdmGv?>=v|LYT&l|RHp6U)>}r^4-W0#<cK!^<fg
z+c$+^yYhX;68b`9ktaruy23i%5nqJuaN5}#FV^3})!=K0nRN*pn$BWX(FufB>cd`e
zKbr%x6K_WJ@R9BDc*XV;>v*lkv;uXuPkSjoI4{KBg=)Aoq>5!-N|-J(9diy(!MBex
zh_{zSsIeH!q6ouqPyl7|d{9c`fv+q#hPya%P=^!tnw<F9$ccuX+*nq?i*wrqk+wn%
zE}1fn=T^i^`?;8ZcLlC&*M`uRgZS|B67qTMuyPukZ^roZgM*AM+Fg#SCtnciGYD&5
zK6<GvL27DKsU}C6mRigqpDpug_UwgpW!^$M={KKN<;<m-pH(T`K#9ihO`{Pj)=ODR
zP<@avWp?sW<}EI=_8-TlyaCMI-;Eb%zcUT51=fX3yB?@P`^|TFqVpO8hZtLwP>6)(
zPf$3-7=gYltXECPT<2s2%u2w~!5B2LtccLYaF~{aV(GnLh}yD#^lbo)PWq#KiyvmV
zG5vOtFAOz((VOWD*Ep7!m=S>UvjQ<u6b#deFkJr{$==pD#yTY9PHZOZwDO^Hs}Os%
zUZTvR65;H8ma%{T_e&j6?dXN|@Cd$TbC4l756Rc^(c0;Plvgf9PG5v6?5GGWWqE<J
zWMTRfC`95)f~2yOpI)uvCHEdKI%&y4&+Ervb$<|X8+#G+s}nr|-{G?BD{K^-u$8M0
zb6FnJM5zMxM_wT+|2dv(6oRkrF=hon#0Tpve0EL4%z`AONW~-9D;imv5jZ9ohC=>e
ztXIF!W()X%=J}vu&=c=DJ)pkR4HfM!Sn%2zh1|~g8tR0`FekK2u$&X83r^i~#WH7i
zY+UVy8H~}g%(;)NzM(K*9|hG%38>}F07>M7`$G{-mcPMAp%1vUuo?du{zT!0J{;j2
z$C;a4bovG#6*mi#R=5bQN)#g+5+@!v3EF!_f*w5-r!*5WdX*_cQocg;P)&dYSzcn`
z3DfQ~|DmsP1bN>W)6UTYw*^0O?NTeE%bQ@WSBF_0?@^fi7Omc_*9j@X!q-nBG3^l+
zc(6?L><sK`NrrksJY)-^vAiW56SLV{?j4BTD*mXbWBpF92Tnb8#r8i=_;0rZq}puZ
zo_G(%yYFJ^TT8sJxC!giX80U_9YfyN*c_s3u=srq8{KXof^LFi8QW$2)EY%9cIe#i
z1cQt2n0dt)pRcm-%{+?Dhe-w(o4cTSs0fk$<?vv+ZdWHZ<EiftxF^TaKbMDI=m?Tr
zwkSnylcbsnX<GVJmM*%>k%*NXsfRQEQ%Z&m{z_8k8F4bcCqmhVf)vht*e;eQdGlrx
zQF6oJzSWEJ$zPb4+zua`W;i+2V^v-?Mx`qd9>Qi)vAIPBv!7!2?0nqO%f@BzG&~tg
z#1_X`s4$k%a55BnKLfG!4`Ugb=l=O1%Y;5;nVDq{@PBQCtD|?YI+*QizIqkD_Qovh
zaTeak4AD8~C{&jnM2pQHBq{D-n*J6@>*=8BC&96I1Lm2m!%EXN=-^$ANbOZP!~X16
zSq-uAHCQ&fo@qfFAt9-Ue2-nQ7(R?=j9Gql`x^WEHmJ{Vg~_`B@EJy<_HZWPSA_QW
zOgqp2ifG1pm@tN4BU_N>)v?~NSB`SuC{Pm9xWu=rP=22Z)g4qJD^?q<l~bfOjZ^8&
z968dND@9j0#b_zZ;wmTel6Dv;%QKB(W_3Ty-*llO@*5UUG~;1JJ>EE0BRlmix<y}N
zUraGpT`GVPW1Cc6vM{|N6&Dz%W7QJ_sVtT^2@b`QIL2{&^n;+9H`2r0@su&=x&02T
zKek0X)1(dMt+4;484kR=f`!X2vDs)w__^o|jOq<>k=Fq8pC5((%p)+<&}Vy`^s(TR
zK6XYQMYShm8%s~Y?GoELn`O%CHw$<$FS~5e39D1QaKwxCIq}iB^owyajH|bCdj&<8
zTFmQd$G?O9@Jr#K)$92waIPq;N2SO@OO9SIo=WeArcq~<0$FcTpu_*BlKr4OY3-FI
zx3yCA=%X0*uN9^&7k;XL&)!01rln2}!=jUEsiK_-IM<H-W1nIBvJP|JyhlFATUZ&D
zA$PI}FN>Z)H{~I?3p2qplme$c3HVnT4era~*t;MEZ~5-y9NU$%OvV%2wO#SU!x8KI
zZ4qK>jc}1$FgbS(m;V^UEbc5!oK9f3zdmNa-3PvfJE4@LhpbcDkX^k2c^a$Pd#4Vu
z$p1iM3-LT+E?yi`#Ul+R7_3o1`8j#qeJYLH>m_iqTZC~6f|%3B2e0KkFev53J^a)1
z3Ln#oc{;2$_-Ih;z@xuf=YRgyQoKE+wIP30OXJ5st#4V}_*p3cau!F(oGCaxJQLvu
z{=@nQT8us0hn9mE@p>84nV$LJgkB7M((|Ab^%g=gttjFjVVpldy(y8TvtOA$c6lZ>
zOjjfS7YnHS>>~1-zlehOETG_JY7{tg79C<<z}S^(#IakJ#@0xX>`r02!g{ERc`O$-
zGKSN02cY_~3%MiT@Y$sWo_8AHQeMMm%e+JH?$>yD=LODmGDghr2`tR>SQaE3Q@^Dn
z;xfxnE=gqfejFr@MPo-r1S+i_fWssdJ@LWVwlD}cI0JEI(S7ti48U%dDYWFckH)I|
zSi&+(`v!v1dx&|!`y&weI~vK%A8(gT#oZ8ACzmq4#J-R*h>U%__YPUiFO+-MjI1Fx
zcai@${uK;D>E{IAF5+TdBo93$=HYS+QY_<a3|api)h$FmwnAhZ!?N+m1*oBzj|Q7~
zsO}jT{l3mYyO_pxTYd;mlf6vC>SDRjAGqw_3T21SD0QjF_V^m4H^0L|_V(P3D}~7F
zVwTA&z`3$~Y%R{g(=QqLHaiuPK8biXCl1lyqEJ{B4#Que&`=M?e)gX2y6BJf$9?h6
z+Z+3Yz0gp_G{g>fG#_z?;Zk?>Ty=-Td=GqNTnf)zZ<Y)2g@JVdHZ2H-t{e0BlcLe;
zln9-<85p{g2Y;JFyq(VGU@mzNQ9q`wOl!w$_ip584uW^fKL~noQ@{uxNmdJzxPS;P
z@D(NXt77z!Wx_jk#mL~WC>`k)rgN%7G{z-B7E!!(M~a(n8FH{3-59p}|HbU?-zePj
z3ybpFA-SprDjypV;_(5==PHq7_y&HrOY#0m5uQvhfNMk^%yhHyNHQG>|B~=fG9I@#
zN8@EoIQ-{^LamzVe~ej>jrCz1nkU2;yQ7lzCwJ|f*c=51Jbz^et=+aro@0Z8UH7o6
z-Wq~0t+7V!9?PHGpyV3kkS**{pymW6FIOZz^Tc>D>ziYPal<qcwzCuQklh9Amp(y|
zVJSAVc`mvqKC$ckJJTfkP}MpPLt8crK}vuOCWL9uJaLM!lcZ<?X_C*Ern(2x^uAJx
z@=r=q>J@QPl^3PO#_aoX<R?`t9=fT|{ITQX@a7-H*+Mo`&9eh<7`JHU`x&Py>JYxT
z8W;2a*U@>$bG^TB+}?Xjl0>1XqrHynZg1^9wUv-cL)kNXWUmlXR>?>ybdsVnN>d@B
zAtFin-QV9I=bz4_$3q{V_v`(-@9Vmr*CW{MX9n7A2GKI(Y~Gdv7$xLEOCk#!f_cuH
zlZrXg>^tm_#bmxK-JKkc%WlC?`QeY<Zobf&;spgMcl^t9-O%)N7%Xw%JMS^}En35P
z?jhui+lK=#yYX?w4&=o#|K4dc8bo=np^dOuu@UKWH^B&7FzVoTB)#7aqq+n5ao7e0
zji>Pbk_*C_LlCql2>!lN%=+MSgy*fpiY2%c#XImPFCe<34Y?nBk@rK8zB@{g-x@hu
zF;|%c$EZ_Nn<hy*Y0;BkS~Tql&o+aa^zE@ah4KzU=d~i8+s*mZTT=8~fOSabkn9^i
zgzUzjP<+sZ2VdIZyu2Bw+g@WQGgtb`p1?=23Uh6k=_p&uxyB-leQ*Oy*_ZCmT!l%_
zmysoMiP<M{xNj8&@#W#HOR(={uRpFv`(UWk0~+gH5s-TxPud+&Vqu3#AFVJpeJ>Is
zcAy}SKa*c;kachc<_RxGXT@Bs%9(@Z71PlsI2pV4^I6_!jGb9y&>g~Aw-g<uebmBR
zo@?5LR9Tl$<gRIXJhPWUs;LzInJ<Chdt$hCQxuZZ*sH!-6#BEo;Q2=!rT3-SOCX1*
zW-5?hu7y*ZMl-|K6wfcr#)zFO@cP7VOc{O}E6X_Nx;F}!TCN~P@eVRVY9aRV6V7b<
zi$s4(k{zo|KYX>QciSkE-#&)4Y>a4UtTCx87?YipAqBqDr*Czf#UX9lX{kZMR?5_K
zUXF?iC27G}Q94n}Ih-@U@aEBXtPAa6Z!hzcEZ?AK6LTRiF*}bl=+{;L!`BJ-kj^{k
zD_VsJYq^f<57{`XdKHt-rgIKG6>^`F;P@>b_e^;%xx(Mky%9LII~?jfw^U9J!D;ni
zyj&H8U7rK7{97QxEQ2^(5sXp)g`oan7)%dDa85cJ!C~=eo0N=KKIw?Nm<8wc`FMS+
z1oDLyxIM8NXGEVvP`U|*O6|yO{f<k^2e3v`kYb%gDD;FlO=Ml#IYFA#D`cpRHL#0Q
zWa%Jhotw`{lU=VQjZ$O(<Tp`L4;H3v%tR4r800(gPptg?9Y!vn0fjaMTz$_o{%brj
zehxL2XZSLVGvIi@b9)(Fd)VuJz6e*@V=`PYm;E_c5u%iV;cHScvM3497scb2Kny~7
z2jI{XhW39#(2yL6tY!W<Zo>1-3LhxtdEwwLPt@=9U_OsK@{hSgIm#W|rh2gd(G&Z{
zy|H7hFGlg-(H;y!74uQ<UysJ6nnZ+_r{Qg2HfA#yV!Pu##2<cyEj100vwIIu_0L#w
zrVsH(0wkQpGhT)S9T$)xnK(H*d{TkN`6zP!S&`h&DALN)3MBSTj&^>Rp*o)T*8CQy
z1LH)gY8KD9_J3i|p8MrXyAeF^Gv=)Qh;vR&*!1`%Xm&lH!!^kFd5C8RDwy?Bis0a4
zEO?WTDNA$F&04Eo0Q;)<q(Eb9BC3wZ;&o0Wt}2A%S#U5krw1Td<N_}8{jgEN1BceR
zqK3UUdQZ;c66cXig6)y0Z;M59tdZMc1%sJ~U`GdGq;?QZ)dw-x%L>N3tYLq~4$;3)
zLP+8~KJZ+0VuCkB&jjGa({QX{cF>AjX{hD*%A5zck*!{Zl%eN%KdlvWj&vhp<`6pL
zL}>y0wNiO6Y{L5A((!6E<&!!+W9@n9kOtLlQ>S@Rs#HqKwE7h9tJpi~AtlARdG>0n
z2~&XK5O*T<<NG0=g)5kkx}pWjlFVNF@f`mtJmZYOBfPD<k6s7nzb&|h)iZCRmG}GS
zL$4yGHw}Ug$=E(D0heDzqp9d3^l$RKU&DEJ;R|qB?S-?&ZWuMk8Bg=hpkVlMnC4r<
z|NH^0a@dXG30rZuZ#@>BU4@?$mSLOfLToc4knL<#bB1P34EH{{Pk>D3I8-VdqVt|U
zu9uF2q}oW_eXI?UUM&<v55r)cCJJwAV%m;jc+{zd<E|rE^B;v@zGKjT&;(n@bJlk_
zA<cCqW?tQajqmL+<C+_cF9l)J8qQ*0$wu{Q=KWaLqffRSswIOs`$3!rvK1)MN`qeC
z9YM-x^jHk%eQ4zvy6QHDl0N9uBm+J23e%xE$C#J$i#5g#N;H|h&H|%&M}1R-PC5$E
z_OJb@TKXNUIIFv3N;9-?zQ!is2IyoyVP;4bE*4ebV{9oz3yV=AaT6DK?g^T84d*z+
z;X5uBhYu!kuVox6jzr`0ln5-D7>1AAgR$x!>+Re9@NlXxv{rkgHP;j1=Wxm{cl=l4
z24UX&%4WGiYm+<ndV4^4IeP?id|*?-e3h^ubeM)iG%gx<+7j_qJ{?BNIT-n|5QE3c
zFfR5n-|t_*O{y6gFTP;x=6-A&B}ny`Mad~flIE~}RbeepFH984YqS#i@xS|7gCcq4
zE6`tAdCKdRp&({5<<*K)RF4Qf=oO>`HGj}``6m{;f5(zzov=9Fioy7IXliSO?AkiG
zv@%;WrV>34<ygbJAGL%c#JAtT=Ji}g-<pYo7t<hYm5g0G6Zqa8gG1R7ILA7Tsdo@e
z`QB*#%?G+KJ-Hvp4LkV`HBaL_D*rtV*@wq5;tuyxjI~Cjq7`#U51>Ahy}O(DLgnoq
zoSn57;eq>*(0>3U!Ve?L&lYN84$O6Og0P%BhKcy1RxB7MqoS~K%OyO!${q~KLX2Nt
zfqRR2Pjrj#g{#>wlrexuS2^!-PLhnm<;e1p673XGBM07n#xK{TNryG*@Ffk_qt$8n
zTNU~>mjA!1JZ)uP_*C{$&Mpw4egi>roB10Zi+*6C(-*k6eZ+a^CVW}(l9{x1h;*vP
zn)eT&ceD%*V{T&w{~SSz*E!Ffg+l=u_#l{y*3d+lFXXdIJrcJ>xjRTc2>Fx!V0MBz
z9Z%R7GS7v5nT}Z7c>)QRHt3Q(gk^6m@#OV3Tod1jiQ87=HhUTx-50`eBXJgdHX2V(
z!;uOz<jpdL-CHB}+ZbSV>L_SE8G*OPT2L%ehq9LnHU}%>$_F{@a+bj@2Pw>}m%z+a
zap?XP!_poxgd~VV*+3GX)1{%fNgjjyRWM0e3%2ok7`KTv+K`!eb7?7aD!1c%*m2w&
z^5iq)BBV6a@c2;?(%P$`*T<UH@?Y4bB2KM!3RHbsld4ii(nxs&8W(IxmZru8Nn={O
z)sW)tS;I&gMW5LxvHFlEJwBsCL4opgvRsO!4aMlqe}c4UG4s*R_284yXSB_4MgRS`
zFim*@qZiMZ(fb(IIuB4krVKNV+-5zy5F?Uqz}znfj+s|sIg}1{k5sG#&wKwQpmlRB
zj+aE?$JPk+%?iiOU7^rtuYHGK5KbfpLPRMLF>L{mGiI(;YaonA1;f501REE#Pm=Yd
ztvxaLvN92Nds1O+mWk%VTs-b7#Qw^=@E`vW9e<gjuJ#%x?0ebA%q2bMdrB@J!mw?^
z)EXg1!+FQ`V!bpyE|a0%oT;3eFH8E%WT}sLqTRn(%a|-lgSz6B|3rj#t`ee+?Acv2
z@CzxYf54{aD;#Xvadn^>*%8cvUD=2)x^-w*s=+J0hj_8B0<r0($kVw6pMsn4wa<g`
z+AQ>LxWf1F%XnLT39sfR;7L;q=3kD4a%4EH3qsH>9)w&Uf8On1K*uy6-Ya^+t<3|0
zSKaaBz8l16x$!&E4NrEs;nZl(j@o$O@+vPJt@nYtls`882|`72I7(MC1EMqud*yky
znwE<&(_-$1U=FQr4P2`maU-(@_fCI9M%OQNGMh?py%?GE{Ohxu{X?9uIB26tnG2OD
zd7Bau?+UD$0rKIo9Q~6b!@G3Oqi|*^&|QQ~Tm`AEWf1zsylao>!ep-w=m)nTu=p)*
zi#Ni{p_a2q)yRDK0DV`=V9bo8+}DNZG`a!AWW#g<drLoF#{Aot(0h}2F}2ZfQi#CA
zqoK(D9*DMZ)`xfcVAo1dSaVL^A=w$Z+UL-);uIz|+oS)34eB-=!E|N|gg@Dj=<j=R
zj(s5iZe*X@!#zAR?ZfVy2asiZ7(w2)*lyqet7%SnxX2xr8+;MSIhUV&ZyhVdOat3%
z*w<c&fQ9!li9L*~-!w7z^eZ0M{l?WfA|xRuMPKCQ$zhT*ecPZ$?+<H`o4qFOa%2rB
zL4yMSs?lJP3U&Qbr15X$$iYRL?((eMZ7V`k-wBY>l>y8u?7`aZ&k)}Fku{-ru&QK@
z>rpL&1*_q*_W_Rg-Gf<f38KRba6K^(Sx>JqgFOQsktx__%ABc|7<A=FV36<E%ku&u
z{ptdaYI~!EXWa$goKZP&76S`TVBqdi<R3Z+Q*%q4#5P<%vH|+#t1x2TGAMjmfD5;Q
z`318$r!p1lqs`zEZi4QKMwtFn9}#W3xGORO-z|ngrbZ2SU6he$qk!}{Sv*#jM$Zcg
zboYxv%vlu6okg%pRs`v@L~zwu6tf1!;L{+9Z|$<UctjaP3B&NGN)N;5nBwEI*+{Th
zfj@D(F~{{Zu4wu~`F#{_cxJM9^bVdl*P(&^^_$NQVZXi<oh?x&31+5@d_9W({5OV{
z-7}&C4aVd<!I(T%3@P}TKIPofrIRDHseP&jS<F<Xt;<<|^pGUuJ`wu&k^n6q$!Fim
z@6es!0cGcAen#IQVZ?LPT62$v^ds#5avz%&?xFc;3F;&Y@#@8OSiQ|grp8qq@Jxq@
zaVk#mY&l;w0iHWz@v$`um#;)1`+7Kn`F#;|DFj)e!R#Rqg7$?V%uWh|jBzkVObEfT
zV$O#>4~LCkB>UoGVDTjZ+9@gct#}0^&2n&Cr~p0ocTj)gKRo(UgEco_V14>~EDGs>
zka-W*JN#ykKWE=wiO`E2ar*j0lDwj&X-kp}E#XW->U-8EOl4?-h%_y=<K3~ZIK5$J
z(LMoTdUINUp5_0>j*WeI)zO7DXFBm-nVE&Rn(*w@EBvu&;QZiI6t91TdawWR{nb6x
zTinLTPledcXSS(R4#v4$#qjiWwDqRoGT*DRMdJ}w6^$h&5fFS6hP|v)h2#Wc9A}pf
z?70B_7$5xA^v0GJPk0D<qVTK-jJA4kUe5#Z_M8hUXB{Wahj(>;xVtkDKUaj}op2;7
zyy9@CIT<}FoXu3f4vV+9(7WnB4zGHGoa~pdpWceR%x`e1_yzkoK{9U>rOY@<nv^L+
zVncG&=dVDaTX~<!XV&RPW?eD&O8Ac~nYMEF;It$yeI`abIahW>j=7d222rNchidsQ
zTpY${)$A7TG2^V}n-@^o#a$y3)wo~B{TdZzSn%>Tq?L=X@aPSMe$7T)Am<9!r9pL8
zG7imWj+<=^#+OFG>7OvjSF%3g<`1*|zU-s&!s1kSSc|(tB*F<|H_t*X(*b=N$1zOO
z4lUkC@gd^~<jx(2gvMd^iXX-XL2KlA*`R)bJzi`-#s0_hsL*gjo|ZRic_+O=DIBrd
zarimyGEBGS;O~iBsNVAcV|(kc`r~_MOnpTGd&*ApUVOqbNqV9vN6-E!(x*NZYUpAf
zz-M)O$+?RuhU#=EPL+;0C{x@E1+sZ7ORrLR*SUcAFtx(uzeRw?*8YNxR1cK)f5xP5
ztx!mPho=`BflIYm@#!)4Z+^h~CbRKwmvCmJ0QIGLFydVC;<XuQev*PmM-tI%7z-<r
zNURwQMY}=}&cY8z{Jb&YhdUM@cR}1pKEu6Fa$dj|O+ANLN8N)mgB@t~-Gn)#*YbOO
z1%|p8<IcGG2uv_X+NxPlnKupZ&Q8L7p^4~tH6FUk#+a5j7B4CdV7*@-N%5oc&U-YP
zp^w#{46x*qAwI;7hoh_+>c-4~7xM-Nwy(fw(XG(ja~L&6=W$w_@2f)>G1WO0QJ(p*
zd;K3=$G$`!pV6x?4dLj02~z)~Kr~W=s9l>3$Bv@(2cxN+&z>#&Id@U0NBhNf=~JLK
ziHB&?2U4XwRSI-vg$&JZ7AMI_VG3m4V7J0gL<D?8z+vu#xx_qalUFz`Ru2aQe(t?0
z(Qi=B+S_fEN)|zX;SJo)%f_|kneb3%zNrZB-gFY6wl@YN>LakoCJf<IgK>OZ0Pb7x
zJt5T_k0*L!;D;No{%}FtWM?Qio=26DBObUh*Ch5dHh7&zz_v3uImHoi>P{G8#(UF0
zZg}VEh4l9qpfW5NrL!Y&d|f;??756jd$ZBKlo=VE2l-&}1d1xJF-znV_Sf|Q6NZr0
z#C!87NpeV%rMa&a=+P8q8oHuF_smtvM_82%m_MO=REhLgDp3A?S+ebtqIUi~<Zg(N
zjJ+WJ-8_iA`d<9E_ZxdTI8)X30gB9&my~!8oefXXTT_KxTki9jd6#*dx7eG;Iiu6L
z_||Y0@$1sz%-M$88wuzRV^4Qj1Y+|-ajGj2cbEFXy22Z=+nC3s!d=JpyeD97>KW^!
zPk4XOKI|a6M(jbn9qU(GTd+}g1KNDoAZo7#qKcMdL*!C?P+EdzGZ#bLXfYNHu%EVS
zDZZ4hfRXST1mE5WH@%&hy7wT23hc3cj5E#|dqeg#-%W?dVvIsMu2Mdp`jsR1dM&(m
zH$!w>4~7;CQiZn!c__)##xxZ&8LmkOEr!#WnIovPbp+KP8bJnK!%3Do9_hL2^nIxc
zeGFG1;TtkkRVqOvszpe=Q-J(2fU@>(OsMO`NugF;IrbK-^k4k{zG~I1M_3niAIU~{
zA=y!klzQgycI4nD^Bm-T(y&G$85)K0%-)E`=_400{$vQ;;{*7e=8NZxz3}&;8%7^=
z#=%8r;og578qG%`!t+j))gI)?>_FkyO=wVA2SHa0jGwa%$CfR^f*bRY=L{s@nuAHl
zW<mPK43vjX$F{N4am{-=-Zsp@(|=~eslptiZ_S71;$>KKX)VlHTRfd%1--|oaoB?Q
zL8*ZlZWjZOYw56<TYwb;4}ho__?6C`3)cql+eeh9jN%+?tuk3|*Cgj~ZF*xllGfeV
zrM0!XG%sf)xd)A)VHsLvIzfY^*Q(IvISN#uAVaTtH{o!f@BDs45N`O1N~<pZPPe1R
z^#e=<Un8l!9>*(dFeLR5t#0L*Vs-~-m5NZTa|4GqX2YuJ3WnxhMoCW+JRiit{caRS
zz75A8?GXHR3IK^;z}OrwtUvFL5<3?x(mantv8SMP!X9>MNAYon6?7-F$0)%PDV{qa
z*uM?W1hzus`exiU*o;1#&Decy3wHe71_?Lzz3<zHJ=KR{&~A^t&F5fa?+({M=KHda
zYq%^9wLNL5XK!Q(=K?=WuECWfZ(#kd6XtpYFmDznF(WCG%aSMkc`Bs(K%J}&htcZ&
zS~Mw8i$32TM&)XnH2;noSv4us<#+|^)MgF#gd|1X5v7rmLiC#VIVC~82*3Ch(RFR8
zS@IsT120k6#C=?Y)i}45d$%gf5PSSKJ}xbU+mh?BJeq}6=DR14PQ{0uM9A=6soN-$
zpY1T@4GTirEY_<|dBcTg>UZWYXb5q{&-xR1zrY52S`T7-wk2+-Ze#6s1Bw+_!_#dU
zG<6oDpb4z?%tB7XRA@+<;o5E!tZp)dqN_ekmg>S}x;C1ZYvQbrDk8fSvBO0U7fBj5
zlO*7}O%yBd31QqJ0oWH0nvY-k%iJfu&wNA25Ay}newfd>_rtuQw9owa$pQ0C!v%13
zq6qBrByqf1fjg##akra3YQxQND`y@o#_@Y;vn_Yoc)+fn^@Vn3C@@cD#E54&&mA~3
z@BhVYNKy0(6$(|=rqlm0n{KBeCAf?uwdC=%{RjJvZW&R?>M@L2)}w_OK}M{1%kVkb
zHXuh;no@M&xF}sw5hSzjUpR+uERyd;!KxOnDR_fm=@%F}`iy7G$8Z_>03Mu2OL%vi
z^8iKMi;|Dv;#}D4WFeiutJQvK(2h#M{`W~x-j{$;#&Iy66oV7)QFy5riB=W%scvV_
zjKoDO*Sv^>kry$W{U<JxQRtCk#v$i}bsi?7BrF9=q8W(N%!0{N?&i>EzJugFT(_#k
z5woWlhDJyqeUGKV?U-@)JMstnk<&87y&9a8Vtuf=M4U#k=k^q5GA@)!QBJlLDd<X3
zgsvpDl`@N+S=<#GA{6~qkXB6ROxo4~v~KD}0lLsTk{MV+A0hpv32Q&SLS}yhuIoO7
z$-c*!^xy%k7MEij>&gk&it#G+CceexaqnRk`>isenUDtk1u2-Oo`hqn>~)*VS?Np6
z44-}xb0x!&r51ws`+{K0p1qup{+vhf$G+Qsu)X7lbrbxtK#O+{zJYk*6O7mTVfe=U
zi_aTk&@I5(>;0)%;+Ki(NAn;gQVjK(Wyt?s1<TR(`0MkQIS1TzIPW`r`C05T6{K{2
zPo_#sP**HJlfE(({g`#a{c@DNLyo%3WGOqDcYi9<^xHs^8kl!@)lq~-Gz-#5)_GPv
z?8hVH9_0Fd!IK}{MR4>3as}RSPX0NjI6TAm-H-9i`T=5M%JA^>ZRWuj!L|1WGeNjx
z!}lt(eVN&kor1pui8x>thmpe3%&5JH<JUs*z9I-KW%%Fkb^(t6_@GSF3$y?Az`is$
zglyq^>rNNe6P;0a&KY7?oiTB(3*?<$!45zKUh+h2z7H(C{Sjvvf{aW2-4TdK(mdvY
zSYN|Y_NyK@zl+)VoX<^fz~>L|nGO2|f7uhXah4!8{uU(<11b6zCrcfCKNuXZM0rz{
zY0zGoF7`6linE3a!xX5ki+3@H*@MS<^6V^8&P)iAOwV5wCHG_4_HJk!f9Aa-XY)oh
zVchbUIKo|xw?;7I{2urF`SSbs%pLB{DZ=K;8;H}-fm3oOcFgAtxp*>$b;e`aw`h#z
zXCZG>D6~ogQMAwxI^Vr{Kj(p{Ojjt}b%J^S85G?)fuuLK(Aju|nN|nU=De5nk=>B-
z-GM)r+u+@_1<5K~uvMM4RN<`<=wr5_;x5FT*^7N!t=R8nhaVHpBAc0XStopOU{x>#
zHb-+ONeV1`vLS6*f~^IdZOwmye(5%B-O!7YQ0{IJm!LK5mvy|VL`^<wbZe<5U1=Xi
z3f7!4`Nn*`08O&DQ>UQ2DwLh1NG9yPofa=e8@`EA%nV^V$eQY*k3Z4)mKk+29jp~K
z<0LbELq9fPU-uInnOKEi2^H8jrxdc{%)acu0bRu$oLrHK-`6g~U?TI-YU7|476m`f
z$9LKUV*&rp@7(f%my{>o*t$Zd<vh|<P676Ih!Q*um*Ty6k+1`v*_+_mz6S4>tl+U>
z5&B%_LT2L}7_Od<RGUfY&NW4-hA}248X#cVC`1n%0b4$E_vol`PF)GelY_-%X|%r;
z$I@I8Y|Rx!bj2TY|G<9psZV>%Rl>iSt9<V?x9I<5{`vk#^Wo=O%{MM!?zqKA^G7c}
znK$TvF`wesV=iYuXzn>y1WgUnI31#j`Ww1<95Vr9t`KfvBjWOHu`SsX-JZ-#J$?l}
zW~JPt#vJfXUwFP1qV(zf9bKhPu77lB(n|xHmTpX!*PGDVU)<+fHJ%D|j7gQx^tzH!
zq;OrE^iOKg!s*I%Qd^E*OqZlHQ6i)_Pk@#l=||+7E}X7uNAuKX6iG89$^1FiJbsGy
z^hbDH!x@L^Ww_9M8;c(n;Z0{gR9MGydX<H}>6ysRN#{<@RPF`h*>h$RN+<zF!Eu;n
z!u=V;W8ktY8dW0Ecp?*x4^GiYIS_-^s#t8ujmJDa&g$!@K)oalE5Bx9Yhey-wQeGY
zJ1dmj$`E#h`v&u#;^x#wXf-xryUi!q)_%jEhCYN@{DJQUL9%BK#t&&R+7={E1)L|(
zR+c0KHAy;uNrEcw^PgQ1qfbJj^lb`f@FokAzWQI3x&LD3*bmh7e1nieCzcw1#JEN8
zvFF%p%*lSvjHX(+S#xh!ZzT$%DlmG-U4+jof%7u%{^I^4$I2Xp;~Lg{$Ux%N%g9Jc
zM$4l_&N;`!{dx>;bH=Xid;~Ho!m(g=7-Ee>F>7N8^B9BC_kj65d_UXvF$6v1SoioH
zj;76#*t;$U20iiUoRJK*iRrl6a18-tZ!n|h7M7%yVNXsKy0z*svW#`7Gkm{R{>px;
zK8#oXi!^V}(u9eU)^G{BBQHe~hootNkqjMLCqo9k(p04;O`;DaDOrcvvtzk$<A*SP
z3>GBGk$*9Xb*+S?9_TLn3Y)%9NXTeL$kDg3TGEKmbGTb~WetX%e+aYc3QU@Fmw9ab
z^SBkTr<S{-He{pfWF`b}r(wKt3NlL*q3OiD9;;~Nx<#O*It>2HLU2<s2%Ee8F<p;!
zu1H@j*vkFcw%*YB;Dr_WUeN4kZ(go9=5+aB+wBX?@Cv|@*}>2d4~I+;XHlEuAtTBi
zBfXg@y2i{b_GUWMeI&KjptqwD%QRasYwA~|2=^nJS#2A5Cb@P(f-=rY)2@11>S7;E
z`Wgi~>8wBr5}dvH&HkYyvUKQ#G}RbMl32VL4Ydf9D(mk(7(~XFJ}4aLUb4szDAcxK
zqrp3LUTnmEqdIJQSB>DCmDrb8j@O*Ee5zUug|qqCFUoA(oU3SZ;@#Y_6s-12#MryB
zP#F=0*YV+SS{Q=G?E9~g^@G?1A1piX$@eEWe9Cq~Vw4lIoE%vjI?W8jlZeV-*7yc{
zEPikd1xoh#wemRXId595at4Q9orjU6E0%rrz`|?3c)2kMg98^~6dR9yNW<@@9Lzj)
z3wF2v<L<Irp3$3_<M0`);`=d6ONd4t;aQjSSP_EkJr`G|I&D?@GFOd^T-B)Xt19^=
zsE~cW5^do3U%!_uZ8#@Iw|ED$u~(SZMGDX!?&R`$(Suml$`rakVqtL;Y<L%D`m7EH
zBWtiRvJ%#_%DGGPe|?FCP*l2sR?a0kXI?@1IDS?hCt-zu9NLaV;Q=$Pwt5C*Y^gu0
zRDJQs(-T3gA)Mm(TY%yj9ByRh>?>;=)HsNZ!IoIObUVZsY=X82XY1uHAke;)dw&+;
zN%B0Li3D;4|AkNIEbhFYiA_E;5PN6_L`TnrZNn@?rT&X`x91{d*<!wLTA(gr6RaEe
zK<|(pjOTN2$#oxu2Zy1cIT2pb+yNGGo8K4J7`^=+ZtdtokG}xTbmk6&B4#}OP^Av`
zgNDU%e)r`_a=flfZi{p&{4VFlS8J2?Kf_2ig!?wQuSDNnj?QnAqW>m|(MNqDN<KV@
z%m&tJ{J&sR=tr1*e1}O+%u(7_i`vtVvH014n7EUBHb<85Zl(aG<MZ&|{u;Kmq$Bin
z3Z_m;#2mF)G;2m8+B^&zK0%n*=ZE?3K5(AuiA%C>NRV)b_nNcZt9Alws%)`b>IiDn
z4j}c~9%$(A!UFZ}*b%%19VyJc+_RCN!ws;Vwh`K{o6z@u3sN0+Ai#PL)_pw$A^l?r
zHh09kd^gy2_~IvL0fOJh!vAU-<Pxu=F7_^>?P`$Q_y#_wKBJ*+0Jk=XkZYzCotU9O
z&CgWGpEF&K*M?CRa~p~V_>Q2VManxg$%?tgXT+HgU7$ek4P~kKBzyb|L@9PakREZa
zVHWdRs&;<Gg2*;(lwk%<;Y&=2ufv_9Y8;iU#4fKgJehPG`Z9$Olevzy|72mDV+P)L
zq@eFqB2;<TC-*Y~k3NKAU1uQf$@{^4r8lIQ33h0>3*UDf5gc^_hRQb3C_0Fp{+7@T
z*ao}e4Y;nf8uLS!A@kpb2vH$CRhkX!8PkyIYX&88Q=GcW>=Y*hTz2B@R?Y~>s%qgx
zmO4z`RWKOMOwiwQ5W6CS`g|#b8%tubrUWcP#37X<4mW=Z)`g_ds3Hpm6-Agjt06v0
z8!f2@_|Y>F=j;DPNumX2X71tMxU=Y}@J0NZXsjsUJ#X0^#PfTgbap!i&-}$OW)UnC
zQl@>&wWvyJ6g~cJKwToNN3edHmuy5&QpVC*Cw+SE#=D3=!)dCa26fC(rnMX7DCi>d
z?YMKRppZRR%YMN$;X6hj=)n1yX6&By2BKr0gAPB%yTK}CKD!V1Pj|79{eZ>g1#oe{
zj=|H}n9g_Cc7b%P3QEEJ_540x6_3}hF=+3K#Lno8==I<Z8`cj~&4O`xC=kh`SU*h;
zz>seMdy)cRe?1WG62S=X41vl1aEN<E!fRD5Y@Q}!K<YB;hcY2@l{3bY#V`;n!(AWl
zgg;q_1Icf2^!-PC>;Hy?oPM+&5Fi^x_BYO8=E@UE(s&?EDVnl0gLiy^b+Tk<AxpcN
zQ#$%7dm#rT==5_jx_pZD(=N`u1@oOi`xl0X_aIr4J2hQ-pD5Fe^%>k{vFioKOsU0s
z!)m;rRf#*c<%oE22dyZE)Z2U<jLn6e(=}vzX7Fw_6&|9OAaX9AvxvMi;*3BK>k&f&
zAy~dP5dAOxa4CX$7(w1hdFYAA#UA*s;*OD%+_)po6|b4`eC~rQ#$+?2Rm=n8J<LdQ
z^}($FI9pj2gkRC&I6N-~tE-Z@E0x)x$8%BWQH&icD=_wI4W`<0NBQ1XIL_;W{QUt~
zu4EtaJuzC$GoEL;EGdmqU|ov&Umoo1_gA9!7DYP2dzN_(a%9HZ&15Yp(%T?TQU^uo
z-A+Lgx;TjMd;5?yy9=U*9k_1Vf*b4KVnpH#Br4RRH{~%*cRj#wl;QEh+xTl+h?YCo
z@peKs^HHv#_Y^aOS6zb967Ejh6O9uI7rB3fKMQ96uhR8{=_hX}*LlF<qbsKBIx`!|
zk$D3S*jIQAw&_RtxjxK!-2?cwVILf~?ZKd&C1jjA=T^0w&$vBU!hhcV;vkOXT4Sd4
zaqbjzgq)2l^4EK#cxfQtGa}IFpNQzDD>z2X-Uu(lQ}*k`&U=eesn4j2Wsd1$VVd)=
zByDw+qa%$<R5MA9CY@(i@l8$YYS$zMQ%x#JRVTUQs?>d3iNIWjpUm``^iYDnnTgWW
zDDE#*9K=fbUQC|$73RThoL_qn(dL&(;$G+TLN##OQi+Wp%5XFEHul;SV$HGZh~;-o
zU|R-~)}`WDOCrjH*{8T85@#2Op<`tb-r4%W=bAUhiZaWDb%_T9j@UBuBpfqrAh_@l
zD&_Z}TzEUWbT?x2!PU@dT*kTmg>W(<Wb;{dVE8nQTWW^HI1~7(8KEgxA4SJ>acq+|
z=UO$fJX{smz9}NiPL6lY(ir$F&fN&2FxVgj>B1rN2g`q(_niA_KGX7txs_VCxlK`*
zxt~Lqd9llP^BJl?%;!1uo4*kpGOv*qfxd<mY&sON^NAKTMvleoDN_Nv#aJ_e`>jgZ
zLpRPB^F(9tw)PsPY~?P6NsY|w{DyzEgz0sIEIqiWPUzGjo8ty_@Q)FB9UD)1UE@hL
zYaCtsYe;$14CpMsV}tJur`3__l*9Q$(?hbP5FtS#eE)YlIfU@TKe4Or8_$%V5WDCD
zCJuXz+lw1;ruqpQ6F5s$bRXVo_c$k0f&h;~Tn)Pcp*K0u+IkIU-1jwBIE`6vDHs)+
zgr?~UtjES-j71FODx+{eC=#0NQ#xT3fll!Vs98inMmiFc5e4Pn(VRVwL(;HBl=>%Q
zO;Q>LH!!0(i@WwN6+qPZ4)mtp$AR3(tn=1G)%gv|d|G*@`~{aJdXc3w2)Fsn&*rl$
zXO9?3nn_S1?>wDMq{w@_6jjP`C*BfCn#Ol`N6t5x^4<1wg%Ftp2+)!vgDAT26T|$w
zQGNak&K&uKojaMEz2hy^Y#UJ?!Ts7VYp`W%6>jC;N6B*DkxAa>cXT25^4$Q*=i=|?
zYiN0#0q=vCQDmA7-%*L!F^~1Ui_thYG7{nMx%cc{DEB{xpe#8Ew@(IQUt9o|j10hC
z(E#qj4&c2XGiwe8LGj-Zq-BI*<;@7(vF3TEF##(EQxN@<`MkEda4jlCNy=R;(te0j
zJY&r>d5yQWt(X+?6*CU}WMA13egv@hsz!`_*?+YyK$;2$WN2C`=j2;u>HG;<^5RUF
ztp@Y_mP?Y=Byn<iBSPI9h3LnDA#C~i3lhw(kp1u#nw#1o@|Mr=lW$RG*oc_^T8#Nv
z&AjAFd>K`NSI0{6Pg^n8I^IO$lsvd9XE9gv3Jhml#uoQWd~e`hguob#ToZ|h=HZCn
z5`yup1)SoYoXm4yNK|-ZMz<%%@9_ZXx-*mB4Si9r7=MucqbaV~wABqOBHf{S$P*>6
zy%9Nd0r^dV%#R4e4SCk8+3R1MlZMVG*-*X5ek2?Af)zc6<%t*YwrYmjrmslu>&KF_
zg5)YCM&Tk-G+`y5;mqAx7_3O!oRladU5WnFR-(Y~3iM-^JauTuQZb+PrSHWlni&hv
zy9Mcf@gI15{Y3MY@2~;;_4v*8W#>DjUTVZP={j^qRO93_o^$ofVZdy6&4op1@w<U{
zKeOTBmI*VnG~@~=qp&v~CXzAGnG=CB&P6)Q2B9a-58w9tz;CH1v&P(z?7=&^az}p7
z9WZJx^Gh^skh0@2LPs7%`2jww7wo~ZN4t?Pvm44fyWyy92^;;rsNZk^Z<xgyQey|j
zy{8fJ-WiL%J<&VUA0`q!JN3okp;$WmKd*B~CHJe(dknirFYzPt6VzAqq2P`n9c*Hs
z=UQ1>+NDSqfvVKSy6EIsO^TBnM(=$zDS)+?)p}~Qp4p=tT$y_^NtX8B<mYOX7|rt#
zq6<xbu<ThM>^UpaKdl`b3qBzI@N1sS8z5=>1Rf<1nHN)m%6E6rlU>B#w;R0w&&Cbu
zOpLc>4dy3zrpCp=z%mN|%@2pf{9uUg^v9<#AAD-{z><}&xRG?8_dO2GaI%BNLn}=4
z+zacYtSvilLQKgTB<ik!!qr7k-7yzmrp!T`*>oIOHwmAkOd%y=j8lOIP%|HePf8<T
zC^-yk^weOmTL~ri<q*AE8s*{=X!s<8@xKHiclxin^|4>(cRGKV+xK*tzli%{{zk0R
zTz*Nr`E|cf=EH|RnQPZ~n3u2mYCgKW$9%faZ}Y8^!kG6>5|yP&823~g_s<w(i|#D$
zJ+i>g*ZXnvp)(#72Vrc<CCp5_iQh)-L%-V$ftv%E874tKipsQO?QpXFu17IZhV;a6
zJn1EykjG>b$}t#6=1<1bDF4xvbVG+U0*28)oS*w+q(C<&O4Ff}Vsu|vh$iIxMs-^c
z6fb>-*Naw|IlhB~M<en&YT=kzjk}jBakH}=HTI<ln|TXivkNfi)OGf$WaFRct59&s
zz~xJq@k}rUqVY-GiIITim*TKQDV9Cm(OCZ>3PUTRICB)modC?~WLB)UI-m15VsYao
za|HsDc-NGIf?MebVE?W>_fNG*6~c7c9n{L+N5{;^-0f9|s-v$FI-v!=^__U}PY<RI
zA3&Cw08RWUM1zY&DN<XU7FtV?9`D*dIZ4tM_CB2EeX&o3IO&*)(HvLqxeXU0efGnA
zvKvH5$xl?bc4PLy7rYf~#|G6FSd4#%s<rGh39QH0X4bm7lS=0edtyAwFl-fPnP(S6
zb{Tv4&gU`9HVb8&GWkxBj^-CB*zhU|X|f3@u!}{VEc=5$MBsKW=X92`ZqOcr>kYvu
z*9b=H%^-yH@AS<0VAQhy;O88QXD7pvEzBNylNd}BOhAt_=fkh3V|`Q>hI7uqY+ng}
zOsv52Q;)G{cmpbX-ooN(8?HHbp}M*syCFdCH-xGAsu(TOl%%<zrRWm(-yJMsPf!W}
zH(7>;CP<U{UG9YA-iU}6Q4(T5f{~se+3Ng3-m{-bu<gbysV_KtxsCJ1AFxXP4IZ>S
zhhsf6FPi!JSFA+j4%S*~?%>1DV)mTh#H=s57}tIc-I7;u%HlE_`Fm=~zVI~u-FyCt
z#1yrQ%+?9T>sLXr4hX>LbAGs&>5F^JBi-NRg=#*}1$KI3aDpdy)Ox~Xj2FgOdSlWA
zUu=)|Lpghj6r4g?2ju&JO&lgCCc`fE3RKSIac}7@eBHo1GUFOJ>~7>8VKbKMeZ}2z
z{m_0QK!1me(wVms6!}}4vN>aPOiF<ayA?=ESCPJQU&saavj+U)_gtSexw3~SMpT@f
z*xUDcqaY=h4dU<pKHRVBLhYLlToG->^u_P6H?tA36YDVNWi@*(D)I1QIs0Cik=a_r
zPS$*MmgYdx@+xY^q{CP~1rszAxxYLXOT#0vTPhqAnZf&LR{#PRUcdytGv5vHz<+(N
zSm^J}*`sp^Ek2Ejb53H@LVG-Hv4yPxb74jt#o-Uu@MEt~rHL&bvwuP6%So(V><Awf
z7esFKK$?p$Zn59YwITwCyAyEKkoTlJnN8`;y2pVk9Bg_H;nWtS?ElXCHupua_u_pY
zYj5Y|=#Q}yeQi^rjp=HXa!j3))~S=gel=Rmy(;$tl_;~F_2aKH^k0D_ecK_%x{MH+
z$`4_Ic|Y!4_zoG)b+<*fV3p-t?AY=G@0_3EY5gOVuH%ltp}VMhb_*vS-GpUlF4Rn}
zVQL6xLp1rUC{4g6_ZavbjKGgWp`7CnL`K;KG_Y@MfiLrc)LmfY=m-IUlL)`bcktvx
zh^^QIHSHZZab*)G*{#LWV=J*DX9+w^7eK8W81Z*D^FL-_vFud%>P~`k(nJKtm|~x<
z2}aEukAAK3%m^M2gKegGE&UJH{+^6=TW8|<UV{JXrEs=f55bp~Q0_a1a}IpBIOC68
zewNo7rNiw8Gl-e%Z>IAKzLUP7dh8JQ^GQ&fi~_}cRHLmYhttI1k(8jPM{8K~m42;9
z4_A(&#QQpwcy>6+UC|&*Hx-)l51+qv(lpCeoPw4M(}UB0aWRXz%Co<rY}6-w-1?p~
zWiR1Y#2(^j)wpO>iO09N>)ZV{ik%Aa;R^HXMY1u=>k7V3zKk_8myj$K54#D`NN~J}
z-Q6LefIy5~=Z9JIeK4DIM&?)C(4y~x{Iv5t+nmA6!jmv`u}9%cTby}zl-Z=#INElE
z`N!7iusRC)BHm$5KhB@gX$&%#)qaE<Zgn%~ufQLU=fkkVA{KcjsraFi&D^;n?)$k9
z5s_M0J$i@Xxt|fZ<rn0y3(<<1yuVYEr7<I!DKuM!%yy`eth+khEmWty?C00JqDtb)
z?Cl((Nb#&$X(~w5rCZFvUnN4v*(Xcy2e3}-2Mis)AmQ&vc;+_2A?ziBF4y6ATQyd!
ztHjGMWvI)#jpLEbV@<yfsW(~pV|E46nW-q6pM;fvV{y1X5;HhsHo)hQAbX<=*Z3g5
zfbWshT;Y>^9(QF<;XxWR3mp#Q!I^!~%G(JEoh@)LU5DNX3rx*eiqgIX$af|vtek^V
z%NclAF$HaB&F~{=0u&TXa6x1o_MbOGX^0`#Z8U`JCqsDbHs*PHJi4<dLaS*Cs<LNe
z<BkQ)D_RAUt=kbcfpbj9oY2PpW2@SWkZ9pOw%rZ%F1?Qs9rl2p>0s6h=TB!cD`ppS
zk=?ofZWqsF<s&I0Opgp3N7M6+(R6&e9;w_JNr|VlDLq+}{@AP1S~W$A&X6J3B@%R3
zjD5$oL+I=JiI_uO*z+%E=d3<pLB}gt-l&J+e>G4Y#(h8O<xsM@139ZAh+n*c<KMHf
z&LI=pMrp_rO~xvz1f))lL55!ha%I9`eS;ZJUd*@k@`WSo3XLir$VhdC(@|#Ow4H;l
z%^3u{JK)IV6SyB>53S3`;2C%fEtd9pH}eEqCZ9sHts~mKoOynB$9FgOPu2QESv3ry
ztk0Z?Oh&~U_TQ?q6TqMhZ#uXe+2|E6Cbn@8a}O4O<PMc{qLj~F)OtB`G+kMV7J94D
z2N^XAyQD@dw=w&k^XhXsqq};SB3&<(qlz+VI?Qvd$1?7e;9b=E(SKlM--lywzd`13
zJ9dm}#u||~5L14Ry(^v~=0+9vExeB<LU&QzQj95I@|p9Ti_3?uLgP&ud~A{-IXVF)
zebMM>yNEA+A(*Wfh=YeOK;s#6Sl7BkuiF`U8yyiNdJ=w}HaH?}g$w)kBLD9W%x~C?
zf4kP<n8hm2vn_+~&qdg=bUq4)08yQP@!-ZR{CqY8JG`btk+WS5%F~gq!)$>Gv+&vK
zUo`xki$2XI7~iuB6Uw*X?t}e!$)9a`x+~(D^Dtj568|)(pjwytZ4qU#5UE3gNGrDJ
z^dWJ#Fv*)p(?|m)Y7o~TqXZ6nJ=LM>p}OQUpv!C=T`HfeLk+(Coio#<$%j=bl|RRn
zDZD!tm854M*rV`LfOfV0!o>Z|yqMC7Wouh-zvK-vt)IhU_frgnRKaYh0v++C@USaJ
z`>}i+PRv1le<qeWq+#`lWE8Y>k4Pi4MZa9c>d~Rhstv@n!3#JN>&>}#4_GXBh0=B>
zX0V-M&-`%=$lKz`g~L!jdH}VhJmXy01&z1cp<J;QsjIg@J$f^q-`LDQ#}*uVx{ZIA
zyWpI*7b3-0m~rA52E`n4Wf}LL8u`M@Bm}CvStGrliYcpe(c69-V!Iz9`t(aIZTbXf
zlb=|@+@CtWOY~fjBm1?=G+$AjqONJO2ULqzd25kN$1pl}M3efbsgu%i6?(i-k>qN5
z-Z7J+?DJx@wNi+rX8eV>*iXm_cj3z9cJ{;b9c%t;Sn4)F#q0^+0UzSS=W+xG+`-0e
zMR>jD2L9S)qcQgiiq$V;WLy%i@t$D3R1{pluy^H45XvR}@zLA|3xho{_Kypa1<&K3
z=?=(?x5YOzE8PCE2V(EH<JQlOXqn2M#f0T(pRkC%-JDOVn2r4prZK<H43B292G9F-
zXEH#{Z(WRP)Q0~nP0k{!Az-x<YAfa7Y9)>3Gb9i{T@=+vgb-LTWFD{n+uT#~r+G(G
zkGb}rE_3av-^{O__-dZk{?+{We_iJJtACg)zWQbE{7wLmrih`#Ocv=Q)$n|!F1~1)
zVs^{Fkdj!7=C@Wnr@3OoqYxB5V82pQAwooIIEUSe^IC(P^N=JV?&bA6HJs9$^{8{3
zAsw$6M^3sXR1-IzQr(Sd`uMTr_Dzq9xf^b!$S~Sor$SF}^4+CUiU!risP>8=eU|wR
zv1L8zkok=B^IO^b@fNl{yl-At3wic?&lRnN?!t0RuDk;suVOej-^7i)Jk}Jm;aQrA
zwCHs9p{K%LFqyd~i8#139<w;#D$iM!(sNOG>KKWG4G~xx5P>II5qSJ>B(n{oU{n*0
zN$+C0+cyDK`J9FGxs1-gSCGWn!P<&^o^wi&{<aK<^sDgt!84ple~Gt=A28tA0Y4M&
zh}r)OkAwthS(gwgS&0(u6Q|}z_JWp4lFVo+G7y#`n?pSB?3194e2=}hPLx{r3e$zT
zg7mug53<Mqf((9O!@u94Ke>bRk=*Anz6ttsUSYXq1ELe2;(h-kSg?mEL#Q14Z?ewn
zR}3A`o6L60!^*ZSyt2qd!G|<t#Bsl%M-q%#|Gdc=l!H5?P^Qc|9ieb2Fi*KWH5hl<
zQ+3gSGv2H>RA&W1^<x0{ss!R3&p!WS$_en!O4la>)`~G$vM2#xC#B%n%M6rF&B3t+
z1xWqHImX${J^k?ng1;Maa&$B5XMbi!VlS$9{=uiSLNv8blpMJ4{BXS#E!@u?D7=e^
zXAiREW?9nomZ1yg(sUtMlI+>1@N9)BWxwPd-dq7n8v7ek*}d!m??QA&2Wre(F~8;=
zCc3=DVvBmt=Rbk(!Ybq(yN^S6?_$No64aL!z?x@X|JB*J!~E?G+cb<QOosNDM0~gv
zi%#|*i0tFD%Q2Mq@If%16M$)7FCgxP54452bJ4~VV+=jmd*=?DNH=Kgc7tUEYY+?F
zA;Q^+2gKg%bRT50_slmS2m@ood0!fhF>ex?tCfy&!5nOPQiwg9%HZVq7`=+zr_}TT
zk1}|69ox_S<$~ntCrbNWBuVj+44G`;+?J*y<ti#sG-tQkD-|g<Q-P$JA$OYd-ZidL
zq*EtO?Y$zD%dFn7jen4H{U@42zBB8hlNq0_SeE+^Lj2jk*<Xj&U)4C2Q;GTh<&X}%
z1CxB_kqhKw!jT*d3}!+)D-CL{$@uP&fKcAy=|1G{Aok1c;Qi&i1^)1o@x{J=PgqH_
ze|4b?WVfG3g!gHj(l~)<N_JT6VhwXUD=2pzz$WSaFlyM#e9XOg^<*zDo9*Y!??JrT
zas+n!?a<KcfSik*7iU(texfh)pSg49Mb!Uy(3_vWh8LVE`!@PM1a)ii#jgpn8eegI
z`)`;J3RA{yN&5Fb-xE5yds9)3G{$LA_Y6&1uuPLKIcQMjJ2g^FQK5<4GjyFbnuVO(
zdd}XfEoVeX<Ff$md^mvQ*F9*}_<}aKkFe5f!ie5Rto&6A2a{?f1al{|UKtj@D}g6}
zXZBVz!{hHYNUzF3X+;X!Hz#7Fd@KguGavA2C<NXH@@(k`g+<<M=W%CtoeOrcMj8=!
z0)K|tAfSRZ(pXDGCvJoD(+xN}ZZ+QLEW`0#3(-A;ux!q3WLZsvN0}MC7ntH<uMr+R
zGl0vxQ3xHOgS8=A=!XU>OjR+@QVE_d^6Xoch5mpv)}~A0)oV#C%8-PMu@ugqmxg4O
zEY43?<jyx$&RGn{7KhQy&oe>7;h9+eZV3kVZ^Oqm+!tcwfnRE2D2YtL-UjaJ_Nc<T
z=}pL3+Y1*NQEGWEM<wx`F%i-shwG#1q3>9VbT*>k93#qHZAivf4M<u+kJ|qmK~WmR
z=-PBua^#Mbes7+|JH%*$3ww{R45FR;ufr_Ap!vW@Sl7LSYiuKGi)%T<Ta7<2AK-RP
z8G;4x;QiqubjjtTvNZ=rT~~2zd<OecQZbgNazo7oOdAu+yZR_(e7y*bYhftP3c>V#
b-ltv&gra=_e6Ras{Ca;x?efRJP5$^l8RQ&?

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index f2260269..2a44aa2b 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -68,8 +68,10 @@ def runge_kutta_4_step(self, prev_val):
 
         return pred
 
-    def solver(self, nt):
-        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
+    def solver(self, nt, initial=None):
+        if initial is None:
+            initial = self.init_vars
+        pred = {name: value.unsqueeze(0) for name, value in initial.items()}
 
         for n in range(nt - 1):
             # create dictionary containing values from previous time step
@@ -87,125 +89,17 @@ def forward(self, nt):
     def get_coeffs(self):
         return {name: param.item() for name, param in self.named_parameters()}
 
-    def fit(
-        self,
-        x,
-        optim,
-        optim_params=None,
-        max_epochs=10,
-        scheduler=None,
-        scheduler_params=None,
-    ):
-        """Fits model to the given data by comparing the whole dataset
-
-        Args:
-            x (torch.Tensor): Original time series data
-            optim (torch.optim): Optimizer
-            optim_params: Optimizer parameters
-            max_epochs (int): Number of training epochs
-            scheduler (torch.optim.lr_scheduler): Learning rate scheduler
-            scheduler_params: Learning rate scheduler parameters
-        """
-        dataset = TensorDataset(x)
-        n = dataset.__len__()
-        loader = DataLoader(dataset, batch_size=n)
-
-        if optim_params is not None:
-            optimizer = optim(self.parameters(), **optim_params)
-        else:
-            optimizer = optim(self.parameters())
-
-        if scheduler is not None:
-            if scheduler_params is not None:
-                lr_scheduler = scheduler(optimizer, **scheduler_params)
-            else:
-                lr_scheduler = scheduler(optimizer)
-
-        for epoch in range(max_epochs):
-            for i, data in enumerate(loader, 0):
-                self.zero_grad()
-                loss = self._step(data, i, n)
-                loss.backward(retain_graph=True)
-                optimizer.step()
-            if scheduler is not None:
-                lr_scheduler.step()
-
-            print("Epoch: " + str(epoch) + "\t Loss: " + str(loss))
-            print(self.coeffs)
-
-    def fit_random_sample(
-        self,
-        x,
-        optim,
-        optim_params=None,
-        max_epochs=10,
-        batch_size=64,
-        scheduler=None,
-        scheduler_params=None,
-    ):
-        """Fits model to the given data by using random samples for each batch
-
-        Args:
-            x (torch.Tensor): Original time series data
-            optim (torch.optim): Optimizer
-            optim_params: Optimizer parameters
-            max_epochs (int): Number of training epochs
-            batch_size (int): Batch size for torch.utils.data.DataLoader
-            scheduler (torch.optim.lr_scheduler): Learning rate scheduler
-            scheduler_params: Learning rate scheduler parameters
-        """
-        dataset = TensorDataset(x)
-        loader = DataLoader(dataset, batch_size=batch_size)
-
-        if optim_params is not None:
-            optimizer = optim(self.parameters(), **optim_params)
-        else:
-            optimizer = optim(self.parameters())
-
-        if scheduler is not None:
-            if scheduler_params is not None:
-                lr_scheduler = scheduler(optimizer, **scheduler_params)
-            else:
-                lr_scheduler = scheduler(optimizer)
-
-        for epoch in range(max_epochs):
-            for i, data in enumerate(loader, 0):
-                self.zero_grad()
-
-                n = data[0].shape[0]
-
-                if n < 3:
-                    continue
-
-                # Takes a random data point from "data"
-                ri = torch.randint(low=0, high=n - 2, size=()).item()
-                single_point = data[0][ri : ri + 1, :]
-                init_point = {
-                    var: single_point[0, i] for i, var in enumerate(self.var_names)
-                }
+    def _step(self, batch, batch_idx, num_batches):
+        x, y = self.prepare_batch(batch)
+        nt = y.shape[1]
 
-                pred = {
-                    name: value.unsqueeze(0) for name, value in self.init_vars.items()
+        init_point = {
+                    var: x[0, i] for i, var in enumerate(self.var_names)
                 }
+        pred = self.solver(nt,init_point).detach()
 
-                pred = self.step_solver(init_point)
-
-                predictions = torch.stack([pred[var] for var in self.outvar], dim=0)
-
-                # Compare numerical integration data with next data point
-                loss = self.criterion(predictions, data[0][ri + 1, :])
-
-                loss.backward(retain_graph=True)
-                optimizer.step()
-
-            if scheduler is not None:
-                lr_scheduler.step()
-
-            print("Epoch: " + str(epoch) + "\t Loss: " + str(loss))
-            print(self.coeffs)
-
-    def _step(self, batch, batch_idx, num_batches):
-        (x,) = batch
-        nt = x.shape[0]
-        pred = self(nt)
-        return self.criterion(pred, x)
+        if self.criterion_args is not None:
+            loss = self.criterion(pred, y, **self.criterion_args)
+        else:
+            loss = self.criterion(pred, y)
+        return loss
diff --git a/torchts/utils/data.py b/torchts/utils/data.py
index 079ddf14..f958921a 100644
--- a/torchts/utils/data.py
+++ b/torchts/utils/data.py
@@ -108,3 +108,12 @@ def sliding_window(tensor, lags, horizon=1, dim=0, step=1):
         x, y = data[:, [lag - 1 for lag in lags]], data[:, -1]
 
     return x, y
+
+def generate_ode_dataset(data, num_steps):
+    n = data.shape[0]
+    y_2d = data[:num_steps,:]
+    y = y_2d.view(1,y_2d.shape[0],y_2d.shape[1])
+    for i in range(1,n-num_steps):
+        y_2d = data[i:i+num_steps,:]
+        y = torch.cat((y, y_2d.view(1,y_2d.shape[0],y_2d.shape[1])), dim=0)
+    return data[:n-num_steps,:],y

From 6ab31c0d87606b3d6c6cf7117365bc01c3dba883 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Sat, 18 Dec 2021 02:56:36 +0000
Subject: [PATCH 52/73] Add pre-commit fixes

---
 torchts/nn/models/ode.py |  6 ++----
 torchts/utils/data.py    | 13 +++++++------
 2 files changed, 9 insertions(+), 10 deletions(-)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 2a44aa2b..c53668de 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -93,10 +93,8 @@ def _step(self, batch, batch_idx, num_batches):
         x, y = self.prepare_batch(batch)
         nt = y.shape[1]
 
-        init_point = {
-                    var: x[0, i] for i, var in enumerate(self.var_names)
-                }
-        pred = self.solver(nt,init_point).detach()
+        init_point = {var: x[0, i] for i, var in enumerate(self.var_names)}
+        pred = self.solver(nt, init_point).detach()
 
         if self.criterion_args is not None:
             loss = self.criterion(pred, y, **self.criterion_args)
diff --git a/torchts/utils/data.py b/torchts/utils/data.py
index f958921a..ca89804a 100644
--- a/torchts/utils/data.py
+++ b/torchts/utils/data.py
@@ -109,11 +109,12 @@ def sliding_window(tensor, lags, horizon=1, dim=0, step=1):
 
     return x, y
 
+
 def generate_ode_dataset(data, num_steps):
     n = data.shape[0]
-    y_2d = data[:num_steps,:]
-    y = y_2d.view(1,y_2d.shape[0],y_2d.shape[1])
-    for i in range(1,n-num_steps):
-        y_2d = data[i:i+num_steps,:]
-        y = torch.cat((y, y_2d.view(1,y_2d.shape[0],y_2d.shape[1])), dim=0)
-    return data[:n-num_steps,:],y
+    y_2d = data[:num_steps, :]
+    y = y_2d.view(1, y_2d.shape[0], y_2d.shape[1])
+    for i in range(1, n - num_steps):
+        y_2d = data[i : i + num_steps, :]
+        y = torch.cat((y, y_2d.view(1, y_2d.shape[0], y_2d.shape[1])), dim=0)
+    return data[: n - num_steps, :], y

From 5a082a5de94e18365d4ba6e45ef003d6c34422c3 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Fri, 17 Dec 2021 22:02:13 -0500
Subject: [PATCH 53/73] Fixed pre-commit.ci issues

---
 torchts/nn/models/ode.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index c53668de..e8a416a0 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -1,6 +1,5 @@
 import torch
 from torch import nn
-from torch.utils.data import DataLoader, TensorDataset
 
 from torchts.nn.model import TimeSeriesModel
 

From 2e747eb82babcc099871d8eb6b706c8ba9b171ba Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Sat, 18 Dec 2021 02:00:02 -0500
Subject: [PATCH 54/73] Fixed size error in ODESolver

---
 examples/ode/lorenz63/Lorenz63Test.ipynb | 107 +++++++++--------------
 torchts/nn/models/ode.py                 |   5 +-
 2 files changed, 43 insertions(+), 69 deletions(-)

diff --git a/examples/ode/lorenz63/Lorenz63Test.ipynb b/examples/ode/lorenz63/Lorenz63Test.ipynb
index 2aa18c7f..8a81d424 100644
--- a/examples/ode/lorenz63/Lorenz63Test.ipynb
+++ b/examples/ode/lorenz63/Lorenz63Test.ipynb
@@ -168,14 +168,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:25: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
+      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:24: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
       "  self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n"
      ]
     }
@@ -196,7 +196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {
     "tags": []
    },
@@ -208,8 +208,8 @@
       "GPU available: False, used: False\n",
       "TPU available: False, using: 0 TPU cores\n",
       "IPU available: False, using: 0 IPUs\n",
-      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/configuration_validator.py:101: UserWarning: you defined a validation_step but have no val_dataloader. Skipping val loop\n",
-      "  rank_zero_warn(f\"you defined a {step_name} but have no {loader_name}. Skipping {stage} loop\")\n",
+      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/configuration_validator.py:122: UserWarning: You defined a `validation_step` but have no `val_dataloader`. Skipping val loop.\n",
+      "  rank_zero_warn(\"You defined a `validation_step` but have no `val_dataloader`. Skipping val loop.\")\n",
       "\n",
       "  | Name | Type | Params\n",
       "------------------------------\n",
@@ -217,23 +217,8 @@
       "3         Trainable params\n",
       "0         Non-trainable params\n",
       "3         Total params\n",
-      "0.000     Total estimated model params size (MB)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                                           "
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/data_loading.py:105: UserWarning: The dataloader, train dataloader, does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` (try 4 which is the number of cpus on this machine) in the `DataLoader` init to improve performance.\n",
-      "  rank_zero_warn(\n",
-      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/data_loading.py:322: UserWarning: The number of training samples (8) is smaller than the logging interval Trainer(log_every_n_steps=50). Set a lower value for log_every_n_steps if you want to see logs for the training epoch.\n",
+      "0.000     Total estimated model params size (MB)\n",
+      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/data_loading.py:116: UserWarning: The dataloader, train_dataloader, does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` (try 4 which is the number of cpus on this machine) in the `DataLoader` init to improve performance.\n",
       "  rank_zero_warn(\n"
      ]
     },
@@ -241,22 +226,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch 0:   0%|          | 0/8 [00:00<00:00, 665.87it/s]   "
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:216: UserWarning: Using a target size (torch.Size([128, 5, 3])) that is different to the input size (torch.Size([5, 3])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.\n",
-      "  return self.criterion(pred, y)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 0:  12%|█▎        | 1/8 [00:04<00:14,  2.03s/it, loss=32.6, v_num=17, train_loss_step=32.60]"
+      "Epoch 0:   0%|          | 1/995 [00:04<1:16:30,  4.62s/it, loss=28.9, v_num=33, train_loss_step=28.90]"
      ]
     },
     {
@@ -266,38 +236,39 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-10-290d7605f427>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m ode_solver_train.fit(\n\u001b[0m\u001b[1;32m      2\u001b[0m     \u001b[0mx_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m )\n",
+      "\u001b[0;32m<ipython-input-9-4f95edaeea1c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m ode_solver_train.fit(\n\u001b[0m\u001b[1;32m      2\u001b[0m     \u001b[0mx_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m )\n",
       "\u001b[0;32m~/Documents/GitHub/torchTS/torchts/nn/model.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, x, y, max_epochs, batch_size)\u001b[0m\n\u001b[1;32m     57\u001b[0m         \u001b[0mloader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDataLoader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshuffle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     58\u001b[0m         \u001b[0mtrainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTrainer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax_epochs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmax_epochs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 59\u001b[0;31m         \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mloader\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     60\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     61\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mprepare_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, model, train_dataloaders, val_dataloaders, datamodule, train_dataloader)\u001b[0m\n\u001b[1;32m    551\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcheckpoint_connector\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresume_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    552\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 553\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    554\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    555\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstopped\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, model)\u001b[0m\n\u001b[1;32m    916\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    917\u001b[0m         \u001b[0;31m# dispatch `start_training` or `start_evaluating` or `start_predicting`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 918\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    919\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    920\u001b[0m         \u001b[0;31m# plugin will finalized fitting (e.g. ddp_spawn will load trained model)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_dispatch\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    984\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_predicting\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    985\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 986\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    987\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    988\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mrun_stage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36mstart_training\u001b[0;34m(self, trainer)\u001b[0m\n\u001b[1;32m     90\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     91\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 92\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     93\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     94\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_evaluating\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py\u001b[0m in \u001b[0;36mstart_training\u001b[0;34m(self, trainer)\u001b[0m\n\u001b[1;32m    159\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    160\u001b[0m         \u001b[0;31m# double dispatch to initiate the training loop\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 161\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_results\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_stage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    162\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_evaluating\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mrun_stage\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    994\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredicting\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    995\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_predict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 996\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_train\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    997\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    998\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_pre_training_routine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_run_train\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1043\u001b[0m             \u001b[0;31m# reset trainer on this loop and all child loops in case user connected a custom loop\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1044\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1045\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1046\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1047\u001b[0m             \u001b[0mrank_zero_warn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Detected KeyboardInterrupt, attempting graceful shutdown...\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    109\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 111\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    112\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    113\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/fit_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    198\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"run_training_epoch\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    199\u001b[0m             \u001b[0;31m# run train epoch\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 200\u001b[0;31m             \u001b[0mepoch_output\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mepoch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrain_dataloader\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    201\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    202\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mepoch_output\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    109\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 111\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    112\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    113\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/epoch/training_epoch_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, dataloader_iter, **kwargs)\u001b[0m\n\u001b[1;32m    128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"run_training_batch\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m             \u001b[0mbatch_output\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dataloader_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    131\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatches_seen\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, batch, batch_idx, dataloader_idx)\u001b[0m\n\u001b[1;32m     99\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mepoch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_progress\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mincrement_started\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    100\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 101\u001b[0;31m         \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdataloader_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    102\u001b[0m         \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAttributeDict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msignal\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtraining_step_output\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_outputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    103\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_outputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m  \u001b[0;31m# free memory\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    109\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 111\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    112\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    113\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, batch, batch_idx, dataloader_idx)\u001b[0m\n\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptim_progress\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_idx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 148\u001b[0;31m                 \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_optimization\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    149\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    150\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_outputs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mopt_idx\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_step_output\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36m_run_optimization\u001b[0;34m(self, batch_idx, split_batch, opt_idx, optimizer)\u001b[0m\n\u001b[1;32m    200\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    201\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautomatic_optimization\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 202\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    203\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    204\u001b[0m                 \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_training_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_hiddens\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36m_optimizer_step\u001b[0;34m(self, optimizer, opt_idx, batch_idx, train_step_and_backward_closure)\u001b[0m\n\u001b[1;32m    394\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    395\u001b[0m         \u001b[0;31m# model hook\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 396\u001b[0;31m         model_ref.optimizer_step(\n\u001b[0m\u001b[1;32m    397\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcurrent_epoch\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    398\u001b[0m             \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/lightning.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, epoch, batch_idx, optimizer, optimizer_idx, optimizer_closure, on_tpu, using_native_amp, using_lbfgs)\u001b[0m\n\u001b[1;32m   1616\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1617\u001b[0m         \"\"\"\n\u001b[0;32m-> 1618\u001b[0;31m         \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moptimizer_closure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1619\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1620\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_zero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepoch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/optimizer.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self, closure, *args, **kwargs)\u001b[0m\n\u001b[1;32m    207\u001b[0m             \u001b[0mprofiler_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34mf\"optimizer_step_and_closure_{self._optimizer_idx}\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    208\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 209\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprofiler_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mprofiler_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    210\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_total_optimizer_step_calls\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    211\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/optimizer.py\u001b[0m in \u001b[0;36m__optimizer_step\u001b[0;34m(self, closure, profiler_name, **kwargs)\u001b[0m\n\u001b[1;32m    127\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    128\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprofiler_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 129\u001b[0;31m             \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    130\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    131\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mCallable\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, optimizer, opt_idx, lambda_closure, **kwargs)\u001b[0m\n\u001b[1;32m    294\u001b[0m         )\n\u001b[1;32m    295\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmake_optimizer_step\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 296\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    297\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpost_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    298\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpost_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36mrun_optimizer_step\u001b[0;34m(self, optimizer, optimizer_idx, lambda_closure, **kwargs)\u001b[0m\n\u001b[1;32m    301\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mCallable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    302\u001b[0m     ) -> None:\n\u001b[0;32m--> 303\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlambda_closure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    304\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    305\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_zero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcurrent_epoch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, optimizer, lambda_closure, **kwargs)\u001b[0m\n\u001b[1;32m    224\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    225\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mCallable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 226\u001b[0;31m         \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlambda_closure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    227\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    228\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, model, train_dataloaders, val_dataloaders, datamodule, train_dataloader, ckpt_path)\u001b[0m\n\u001b[1;32m    735\u001b[0m             )\n\u001b[1;32m    736\u001b[0m             \u001b[0mtrain_dataloaders\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain_dataloader\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 737\u001b[0;31m         self._call_and_handle_interrupt(\n\u001b[0m\u001b[1;32m    738\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_fit_impl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrain_dataloaders\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mval_dataloaders\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdatamodule\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mckpt_path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    739\u001b[0m         )\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_call_and_handle_interrupt\u001b[0;34m(self, trainer_fn, *args, **kwargs)\u001b[0m\n\u001b[1;32m    680\u001b[0m         \"\"\"\n\u001b[1;32m    681\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 682\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mtrainer_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    683\u001b[0m         \u001b[0;31m# TODO: treat KeyboardInterrupt as BaseException (delete the code below) in v1.7\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    684\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexception\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_fit_impl\u001b[0;34m(self, model, train_dataloaders, val_dataloaders, datamodule, ckpt_path)\u001b[0m\n\u001b[1;32m    770\u001b[0m         \u001b[0;31m# TODO: ckpt_path only in v1.7\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    771\u001b[0m         \u001b[0mckpt_path\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mckpt_path\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresume_from_checkpoint\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 772\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mckpt_path\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mckpt_path\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    773\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    774\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstopped\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, model, ckpt_path)\u001b[0m\n\u001b[1;32m   1192\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1193\u001b[0m         \u001b[0;31m# dispatch `start_training` or `start_evaluating` or `start_predicting`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1194\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1195\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1196\u001b[0m         \u001b[0;31m# plugin will finalized fitting (e.g. ddp_spawn will load trained model)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_dispatch\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1272\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_predicting\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1273\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1274\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1275\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1276\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mrun_stage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py\u001b[0m in \u001b[0;36mstart_training\u001b[0;34m(self, trainer)\u001b[0m\n\u001b[1;32m    200\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    201\u001b[0m         \u001b[0;31m# double dispatch to initiate the training loop\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 202\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_results\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_stage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    203\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    204\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_evaluating\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mrun_stage\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1282\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredicting\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1283\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_predict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1284\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_train\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1285\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1286\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_pre_training_routine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_run_train\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1312\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1313\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautograd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_detect_anomaly\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_detect_anomaly\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1314\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1315\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1316\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_run_evaluate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0m_EVALUATE_OUTPUT\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    143\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 145\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestarting\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/fit_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    232\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    233\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"run_training_epoch\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 234\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mepoch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_fetcher\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    236\u001b[0m             \u001b[0;31m# the global step is manually decreased here due to backwards compatibility with existing loggers\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    143\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 145\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestarting\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/epoch/training_epoch_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    191\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    192\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"run_training_batch\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 193\u001b[0;31m                 \u001b[0mbatch_output\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    194\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    195\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_progress\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mincrement_processed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    143\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 145\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestarting\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, batch, batch_idx)\u001b[0m\n\u001b[1;32m     86\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautomatic_optimization\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     87\u001b[0m             \u001b[0moptimizers\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_get_active_optimizers\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizers\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_frequencies\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 88\u001b[0;31m             \u001b[0moutputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizers\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     89\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     90\u001b[0m             \u001b[0moutputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmanual_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    143\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 145\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestarting\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, batch, *args, **kwargs)\u001b[0m\n\u001b[1;32m    213\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# type: ignore[override]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m         result = self._run_optimization(\n\u001b[0m\u001b[1;32m    216\u001b[0m             \u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_batch_idx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36m_run_optimization\u001b[0;34m(self, split_batch, batch_idx, optimizer, opt_idx)\u001b[0m\n\u001b[1;32m    264\u001b[0m         \u001b[0;31m# gradient update with accumulated gradients\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    265\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 266\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    267\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    268\u001b[0m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconsume_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36m_optimizer_step\u001b[0;34m(self, optimizer, opt_idx, batch_idx, train_step_and_backward_closure)\u001b[0m\n\u001b[1;32m    376\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    377\u001b[0m         \u001b[0;31m# model hook\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 378\u001b[0;31m         lightning_module.optimizer_step(\n\u001b[0m\u001b[1;32m    379\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcurrent_epoch\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    380\u001b[0m             \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/lightning.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, epoch, batch_idx, optimizer, optimizer_idx, optimizer_closure, on_tpu, using_native_amp, using_lbfgs)\u001b[0m\n\u001b[1;32m   1650\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1651\u001b[0m         \"\"\"\n\u001b[0;32m-> 1652\u001b[0;31m         \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moptimizer_closure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1653\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1654\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_zero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepoch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/optimizer.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self, closure, **kwargs)\u001b[0m\n\u001b[1;32m    162\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mtrainer\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprofiler_action\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 164\u001b[0;31m             \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, optimizer, opt_idx, closure, model, **kwargs)\u001b[0m\n\u001b[1;32m    334\u001b[0m         \"\"\"\n\u001b[1;32m    335\u001b[0m         \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 336\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    337\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    338\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_zero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcurrent_epoch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/precision_plugin.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, model, optimizer, optimizer_idx, closure, **kwargs)\u001b[0m\n\u001b[1;32m    161\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLightningModule\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    162\u001b[0m             \u001b[0mclosure\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpartial\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_wrap_closure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 163\u001b[0;31m         \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    164\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    165\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_track_grad_norm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/autograd/grad_mode.py\u001b[0m in \u001b[0;36mdecorate_context\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     24\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mdecorate_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     25\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 26\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     27\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mcast\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mF\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdecorate_context\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/optim/adam.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self, closure)\u001b[0m\n\u001b[1;32m     64\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mclosure\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     65\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menable_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 66\u001b[0;31m                 \u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     67\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     68\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mgroup\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparam_groups\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36m_training_step_and_backward_closure\u001b[0;34m(self, split_batch, batch_idx, opt_idx, optimizer, hiddens, return_result)\u001b[0m\n\u001b[1;32m    234\u001b[0m         \"\"\"\n\u001b[1;32m    235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 236\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_step_and_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhiddens\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    237\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    238\u001b[0m             \u001b[0mreturn_result\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36mtraining_step_and_backward\u001b[0;34m(self, split_batch, batch_idx, opt_idx, optimizer, hiddens)\u001b[0m\n\u001b[1;32m    547\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    548\u001b[0m                     \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"backward\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 549\u001b[0;31m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    550\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    551\u001b[0m                     \u001b[0;31m# when in dev debugging track the losses\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, result, optimizer, *args, **kwargs)\u001b[0m\n\u001b[1;32m    588\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    589\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 590\u001b[0;31m             \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    591\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    592\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshould_accumulate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, closure_loss, *args, **kwargs)\u001b[0m\n\u001b[1;32m    274\u001b[0m         \u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpre_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    275\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 276\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    277\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    278\u001b[0m         \u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpost_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/precision_plugin.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, model, closure_loss, optimizer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     76\u001b[0m         \u001b[0;31m# do backward pass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     77\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLightningModule\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 78\u001b[0;31m             \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     79\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m             \u001b[0mclosure_loss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/lightning.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, loss, optimizer, optimizer_idx, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1479\u001b[0m                 \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1480\u001b[0m         \"\"\"\n\u001b[0;32m-> 1481\u001b[0;31m         \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1482\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1483\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtoggle_optimizer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/precision_plugin.py\u001b[0m in \u001b[0;36m_wrap_closure\u001b[0;34m(self, model, optimizer, optimizer_idx, closure)\u001b[0m\n\u001b[1;32m    146\u001b[0m         \u001b[0mconsistent\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mthe\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0mPrecisionPlugin\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;31m`\u001b[0m \u001b[0msubclasses\u001b[0m \u001b[0mthat\u001b[0m \u001b[0mcannot\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;31m`\u001b[0m \u001b[0mdirectly\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m         \"\"\"\n\u001b[0;32m--> 148\u001b[0;31m         \u001b[0mclosure_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    149\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_after_closure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    150\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mclosure_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    158\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    159\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mTensor\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 160\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    161\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    162\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36mclosure\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    153\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_backward_fn\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mstep_output\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure_loss\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    154\u001b[0m                 \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_profiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"backward\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 155\u001b[0;31m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_backward_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstep_output\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    156\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    157\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mstep_output\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36mbackward_fn\u001b[0;34m(loss)\u001b[0m\n\u001b[1;32m    325\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    326\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mbackward_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTensor\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 327\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    328\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    329\u001b[0m             \u001b[0;31m# check if model weights are nan\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, closure_loss, *args, **kwargs)\u001b[0m\n\u001b[1;32m    309\u001b[0m         \u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpre_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    310\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 311\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    312\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    313\u001b[0m         \u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpost_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/precision_plugin.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, model, closure_loss, optimizer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     89\u001b[0m         \u001b[0;31m# do backward pass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     90\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLightningModule\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 91\u001b[0;31m             \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     92\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     93\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/lightning.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, loss, optimizer, optimizer_idx, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1432\u001b[0m                 \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1433\u001b[0m         \"\"\"\n\u001b[0;32m-> 1434\u001b[0;31m         \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1435\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1436\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtoggle_optimizer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mLightningOptimizer\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/tensor.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, gradient, retain_graph, create_graph)\u001b[0m\n\u001b[1;32m    219\u001b[0m                 \u001b[0mretain_graph\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    220\u001b[0m                 create_graph=create_graph)\n\u001b[0;32m--> 221\u001b[0;31m         \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautograd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgradient\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    222\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    223\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mregister_hook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/autograd/__init__.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(tensors, grad_tensors, retain_graph, create_graph, grad_variables)\u001b[0m\n\u001b[1;32m    128\u001b[0m         \u001b[0mretain_graph\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m     Variable._execution_engine.run_backward(\n\u001b[0m\u001b[1;32m    131\u001b[0m         \u001b[0mtensors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgrad_tensors_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m         allow_unreachable=True)  # allow_unreachable flag\n",
       "\u001b[0;31mRuntimeError\u001b[0m: Trying to backward through the graph a second time, but the saved intermediate results have already been freed. Specify retain_graph=True when calling backward the first time."
@@ -306,7 +277,7 @@
    ],
    "source": [
     "ode_solver_train.fit(\n",
-    "    x_train, y_train\n",
+    "    x_train, y_train, batch_size=1\n",
     ")"
    ]
   },
diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index e8a416a0..98c3eec8 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -93,7 +93,10 @@ def _step(self, batch, batch_idx, num_batches):
         nt = y.shape[1]
 
         init_point = {var: x[0, i] for i, var in enumerate(self.var_names)}
-        pred = self.solver(nt, init_point).detach()
+        pred = self.solver(nt, init_point)
+
+        # TODO: Account for batch size > 1
+        pred = pred.view(1,pred.shape[0],pred.shape[1])
 
         if self.criterion_args is not None:
             loss = self.criterion(pred, y, **self.criterion_args)

From 00f2a5dbe3ebcc4c90763ed5debb3682c1e76638 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Sat, 18 Dec 2021 07:00:13 +0000
Subject: [PATCH 55/73] Add pre-commit fixes

---
 torchts/nn/models/ode.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 98c3eec8..0ac0cfc4 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -96,7 +96,7 @@ def _step(self, batch, batch_idx, num_batches):
         pred = self.solver(nt, init_point)
 
         # TODO: Account for batch size > 1
-        pred = pred.view(1,pred.shape[0],pred.shape[1])
+        pred = pred.view(1, pred.shape[0], pred.shape[1])
 
         if self.criterion_args is not None:
             loss = self.criterion(pred, y, **self.criterion_args)

From 77f7a1962f456c3dd4f38daaa3b32f2dcdfd9d7c Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Sun, 19 Dec 2021 13:25:22 -0500
Subject: [PATCH 56/73] Included previous Duffing Equation builds

---
 .../ode/DuffingEquation/DuffingTest_DNN.ipynb | 732 ++++++++++++++++++
 ...ffingTest_fitRandomSample_with_w_RK4.ipynb | 467 +++++++++++
 torchts/nn/models/hybridode.py                |  71 ++
 3 files changed, 1270 insertions(+)
 create mode 100644 examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
 create mode 100644 examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
 create mode 100644 torchts/nn/models/hybridode.py

diff --git a/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb b/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
new file mode 100644
index 00000000..3a821964
--- /dev/null
+++ b/examples/ode/DuffingEquation/DuffingTest_DNN.ipynb
@@ -0,0 +1,732 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "DuffingTest_DNN.ipynb",
+      "provenance": [],
+      "toc_visible": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "5Z8Z-OzS6Z-G",
+        "outputId": "f83e0d3c-fb76-4938-8aac-3e01134a1969"
+      },
+      "source": [
+        "!pip install pytorch_lightning"
+      ],
+      "execution_count": 1,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Collecting pytorch_lightning\n",
+            "  Downloading pytorch_lightning-1.4.9-py3-none-any.whl (925 kB)\n",
+            "\u001b[?25l\r\u001b[K     |▍                               | 10 kB 21.7 MB/s eta 0:00:01\r\u001b[K     |▊                               | 20 kB 16.9 MB/s eta 0:00:01\r\u001b[K     |█                               | 30 kB 20.8 MB/s eta 0:00:01\r\u001b[K     |█▍                              | 40 kB 13.1 MB/s eta 0:00:01\r\u001b[K     |█▊                              | 51 kB 10.1 MB/s eta 0:00:01\r\u001b[K     |██▏                             | 61 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██▌                             | 71 kB 7.8 MB/s eta 0:00:01\r\u001b[K     |██▉                             | 81 kB 8.5 MB/s eta 0:00:01\r\u001b[K     |███▏                            | 92 kB 7.8 MB/s eta 0:00:01\r\u001b[K     |███▌                            | 102 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████                            | 112 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████▎                           | 122 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████▋                           | 133 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████                           | 143 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████▎                          | 153 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████▋                          | 163 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████                          | 174 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████▍                         | 184 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████▊                         | 194 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████                         | 204 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████▍                        | 215 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████▉                        | 225 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████▏                       | 235 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████▌                       | 245 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████▉                       | 256 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████▏                      | 266 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████▋                      | 276 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████                      | 286 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████▎                     | 296 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████▋                     | 307 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████                     | 317 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████▎                    | 327 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████▊                    | 337 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████                    | 348 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████▍                   | 358 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████▊                   | 368 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████                   | 378 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████▌                  | 389 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████▉                  | 399 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████▏                 | 409 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████▌                 | 419 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████▉                 | 430 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████▏                | 440 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████▋                | 450 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████                | 460 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████▎               | 471 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████▋               | 481 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████               | 491 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████▍              | 501 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████▊              | 512 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████              | 522 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████▍             | 532 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████▊             | 542 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████▏            | 552 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████▌            | 563 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████▉            | 573 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████▏           | 583 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████▌           | 593 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████▉           | 604 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▎          | 614 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▋          | 624 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████          | 634 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████▎         | 645 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████▋         | 655 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████         | 665 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████▍        | 675 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████▊        | 686 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████        | 696 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████▍       | 706 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████▊       | 716 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▏      | 727 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▌      | 737 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▉      | 747 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▏     | 757 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▌     | 768 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████     | 778 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▎    | 788 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▋    | 798 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████    | 808 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▎   | 819 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▊   | 829 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████   | 839 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▍  | 849 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▊  | 860 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████  | 870 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▍ | 880 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▉ | 890 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▏| 901 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▌| 911 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▉| 921 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 925 kB 8.4 MB/s \n",
+            "\u001b[?25hCollecting pyDeprecate==0.3.1\n",
+            "  Downloading pyDeprecate-0.3.1-py3-none-any.whl (10 kB)\n",
+            "Requirement already satisfied: tqdm>=4.41.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (4.62.3)\n",
+            "Collecting PyYAML>=5.1\n",
+            "  Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB)\n",
+            "\u001b[K     |████████████████████████████████| 596 kB 39.5 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: torch>=1.6 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.9.0+cu111)\n",
+            "Requirement already satisfied: numpy>=1.17.2 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.19.5)\n",
+            "Collecting torchmetrics>=0.4.0\n",
+            "  Downloading torchmetrics-0.5.1-py3-none-any.whl (282 kB)\n",
+            "\u001b[K     |████████████████████████████████| 282 kB 51.8 MB/s \n",
+            "\u001b[?25hCollecting fsspec[http]!=2021.06.0,>=2021.05.0\n",
+            "  Downloading fsspec-2021.10.1-py3-none-any.whl (125 kB)\n",
+            "\u001b[K     |████████████████████████████████| 125 kB 36.6 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: packaging>=17.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (21.0)\n",
+            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (3.7.4.3)\n",
+            "Requirement already satisfied: tensorboard>=2.2.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (2.6.0)\n",
+            "Collecting future>=0.17.1\n",
+            "  Downloading future-0.18.2.tar.gz (829 kB)\n",
+            "\u001b[K     |████████████████████████████████| 829 kB 20.7 MB/s \n",
+            "\u001b[?25hCollecting aiohttp\n",
+            "  Downloading aiohttp-3.7.4.post0-cp37-cp37m-manylinux2014_x86_64.whl (1.3 MB)\n",
+            "\u001b[K     |████████████████████████████████| 1.3 MB 40.5 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.23.0)\n",
+            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging>=17.0->pytorch_lightning) (2.4.7)\n",
+            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (3.3.4)\n",
+            "Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.12.0)\n",
+            "Requirement already satisfied: grpcio>=1.24.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.41.0)\n",
+            "Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.8.0)\n",
+            "Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.35.0)\n",
+            "Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (57.4.0)\n",
+            "Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.0.1)\n",
+            "Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.37.0)\n",
+            "Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.4.6)\n",
+            "Requirement already satisfied: tensorboard-data-server<0.7.0,>=0.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.6.1)\n",
+            "Requirement already satisfied: protobuf>=3.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (3.17.3)\n",
+            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from absl-py>=0.4->tensorboard>=2.2.0->pytorch_lightning) (1.15.0)\n",
+            "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (4.7.2)\n",
+            "Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (4.2.4)\n",
+            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (0.2.8)\n",
+            "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.7/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2.0->pytorch_lightning) (1.3.0)\n",
+            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from markdown>=2.6.8->tensorboard>=2.2.0->pytorch_lightning) (4.8.1)\n",
+            "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /usr/local/lib/python3.7/dist-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (0.4.8)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2021.5.30)\n",
+            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (3.0.4)\n",
+            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (1.24.3)\n",
+            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.10)\n",
+            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2.0->pytorch_lightning) (3.1.1)\n",
+            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (21.2.0)\n",
+            "Collecting yarl<2.0,>=1.0\n",
+            "  Downloading yarl-1.7.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (271 kB)\n",
+            "\u001b[K     |████████████████████████████████| 271 kB 68.3 MB/s \n",
+            "\u001b[?25hCollecting multidict<7.0,>=4.5\n",
+            "  Downloading multidict-5.2.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (160 kB)\n",
+            "\u001b[K     |████████████████████████████████| 160 kB 67.3 MB/s \n",
+            "\u001b[?25hCollecting async-timeout<4.0,>=3.0\n",
+            "  Downloading async_timeout-3.0.1-py3-none-any.whl (8.2 kB)\n",
+            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->markdown>=2.6.8->tensorboard>=2.2.0->pytorch_lightning) (3.6.0)\n",
+            "Building wheels for collected packages: future\n",
+            "  Building wheel for future (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "  Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491070 sha256=8c063018aa301dc492d85fbe4044ef8bf855372d849f3b6f40c44a7b52ea1f17\n",
+            "  Stored in directory: /root/.cache/pip/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0\n",
+            "Successfully built future\n",
+            "Installing collected packages: multidict, yarl, async-timeout, fsspec, aiohttp, torchmetrics, PyYAML, pyDeprecate, future, pytorch-lightning\n",
+            "  Attempting uninstall: PyYAML\n",
+            "    Found existing installation: PyYAML 3.13\n",
+            "    Uninstalling PyYAML-3.13:\n",
+            "      Successfully uninstalled PyYAML-3.13\n",
+            "  Attempting uninstall: future\n",
+            "    Found existing installation: future 0.16.0\n",
+            "    Uninstalling future-0.16.0:\n",
+            "      Successfully uninstalled future-0.16.0\n",
+            "Successfully installed PyYAML-6.0 aiohttp-3.7.4.post0 async-timeout-3.0.1 fsspec-2021.10.1 future-0.18.2 multidict-5.2.0 pyDeprecate-0.3.1 pytorch-lightning-1.4.9 torchmetrics-0.5.1 yarl-1.7.0\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "zu5Sh81e6N9a"
+      },
+      "source": [
+        "import torch\n",
+        "from pytorch_lightning import LightningModule\n",
+        "import torch.nn.functional as F\n",
+        "from torch import nn\n",
+        "from torch.utils.data import DataLoader, TensorDataset\n",
+        "\n",
+        "import matplotlib.pyplot as plt\n",
+        "import mpl_toolkits.mplot3d.axes3d as p3"
+      ],
+      "execution_count": 2,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "Pf5K_82g5blO"
+      },
+      "source": [
+        "class ODEDNNSolver(LightningModule):\n",
+        "    def __init__(\n",
+        "        self, ode, init_vars, init_coeffs, dt, solver=\"euler\", outvar=None, **kwargs\n",
+        "    ):\n",
+        "        super().__init__(**kwargs)\n",
+        "\n",
+        "        if ode.keys() != init_vars.keys():\n",
+        "            raise ValueError(\"Inconsistent keys in ode and init_vars\")\n",
+        "\n",
+        "        if solver == \"euler\":\n",
+        "            self.step_solver = self.euler_step\n",
+        "        elif solver == \"rk4\":\n",
+        "            self.step_solver = self.runge_kutta_4_step\n",
+        "        else:\n",
+        "            raise ValueError(f\"Unrecognized solver {solver}\")\n",
+        "\n",
+        "        for name, value in init_coeffs.items():\n",
+        "            self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n",
+        "        \n",
+        "        self.ode = ode\n",
+        "        self.var_names = ode.keys()\n",
+        "        self.init_vars = {\n",
+        "            name: torch.tensor(value, device=self.device)\n",
+        "            for name, value in init_vars.items()\n",
+        "        }\n",
+        "        self.coeffs = {name: param for name, param in self.named_parameters()}\n",
+        "\n",
+        "        self.dnn = nn.Sequential(\n",
+        "            nn.Linear(1,10),\n",
+        "            nn.ReLU(),\n",
+        "            nn.Linear(10,1),\n",
+        "            nn.Tanh()\n",
+        "        )\n",
+        "\n",
+        "        self.outvar = self.var_names if outvar is None else outvar\n",
+        "        self.dt = dt\n",
+        "        self.criterion = F.mse_loss\n",
+        "\n",
+        "    def euler_step(self, prev_val):\n",
+        "        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}\n",
+        "        for var in self.var_names:\n",
+        "            pred[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnn) * self.dt\n",
+        "        return pred\n",
+        "\n",
+        "    def runge_kutta_4_step(self, prev_val):\n",
+        "        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}\n",
+        "\n",
+        "        k_1 = prev_val\n",
+        "        k_2 = {}\n",
+        "        k_3 = {}\n",
+        "        k_4 = {}\n",
+        "\n",
+        "        for var in self.var_names:\n",
+        "            k_2[var] = (\n",
+        "                prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnn) * 0.5 * self.dt\n",
+        "            )\n",
+        "\n",
+        "        for var in self.var_names:\n",
+        "            k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs, self.dnn) * 0.5 * self.dt\n",
+        "\n",
+        "        for var in self.var_names:\n",
+        "            k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs, self.dnn) * self.dt\n",
+        "\n",
+        "        for var in self.var_names:\n",
+        "            result = self.ode[var](k_1, self.coeffs, self.dnn) / 6\n",
+        "            result += self.ode[var](k_2, self.coeffs, self.dnn) / 3\n",
+        "            result += self.ode[var](k_3, self.coeffs, self.dnn) / 3\n",
+        "            result += self.ode[var](k_4, self.coeffs, self.dnn) / 6\n",
+        "            pred[var] = prev_val[var] + result * self.dt\n",
+        "\n",
+        "        return pred\n",
+        "\n",
+        "    def solver(self, nt):\n",
+        "        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}\n",
+        "\n",
+        "        for n in range(nt - 1):\n",
+        "            # create dictionary containing values from previous time step\n",
+        "            prev_val = {var: pred[var][[n]] for var in self.var_names}\n",
+        "            new_val = self.step_solver(prev_val)\n",
+        "            for var in self.var_names:\n",
+        "                pred[var] = torch.cat([pred[var], new_val[var]])\n",
+        "\n",
+        "        # reformat output to contain desired (observed) variables\n",
+        "        return torch.stack([pred[var] for var in self.outvar], dim=1)\n",
+        "\n",
+        "    def forward(self, nt):\n",
+        "        return self.solver(nt)\n",
+        "\n",
+        "    def get_coeffs(self):\n",
+        "        return {name: param.item() for name, param in self.named_parameters()}\n",
+        "\n",
+        "    def fit(\n",
+        "        self,\n",
+        "        x,\n",
+        "        optim,\n",
+        "        optim_params=None,\n",
+        "        max_epochs=10,\n",
+        "        scheduler=None,\n",
+        "        scheduler_params=None,\n",
+        "    ):\n",
+        "        \"\"\"Fits model to the given data by comparing the whole dataset\n",
+        "        Args:\n",
+        "            x (torch.Tensor): Original time series data\n",
+        "            optim (torch.optim): Optimizer\n",
+        "            optim_params: Optimizer parameters\n",
+        "            max_epochs (int): Number of training epochs\n",
+        "            scheduler (torch.optim.lr_scheduler): Learning rate scheduler\n",
+        "            scheduler_params: Learning rate scheduler parameters\n",
+        "        \"\"\"\n",
+        "        dataset = TensorDataset(x)\n",
+        "        n = dataset.__len__()\n",
+        "        loader = DataLoader(dataset, batch_size=n)\n",
+        "\n",
+        "        if optim_params is not None:\n",
+        "            optimizer = optim(self.parameters(), **optim_params)\n",
+        "        else:\n",
+        "            optimizer = optim(self.parameters())\n",
+        "\n",
+        "        if scheduler is not None:\n",
+        "            if scheduler_params is not None:\n",
+        "                lr_scheduler = scheduler(optimizer, **scheduler_params)\n",
+        "            else:\n",
+        "                lr_scheduler = scheduler(optimizer)\n",
+        "\n",
+        "        for epoch in range(max_epochs):\n",
+        "            for i, data in enumerate(loader, 0):\n",
+        "                self.zero_grad()\n",
+        "                loss = self._step(data, i, n)\n",
+        "                loss.backward(retain_graph=True)\n",
+        "                optimizer.step()\n",
+        "            if scheduler is not None:\n",
+        "                lr_scheduler.step()\n",
+        "\n",
+        "            print(\"Epoch: \" + str(epoch) + \"\\t Loss: \" + str(loss))\n",
+        "            print(self.coeffs)\n",
+        "            # Testing to see that self.dnns changes\n",
+        "            print(\"DNN(1)\", self.dnn(torch.Tensor([1.])))\n",
+        "\n",
+        "    def fit_random_sample(\n",
+        "        self,\n",
+        "        x,\n",
+        "        optim,\n",
+        "        optim_params=None,\n",
+        "        max_epochs=10,\n",
+        "        batch_size=64,\n",
+        "        scheduler=None,\n",
+        "        scheduler_params=None,\n",
+        "    ):\n",
+        "        \"\"\"Fits model to the given data by using random samples for each batch\n",
+        "        Args:\n",
+        "            x (torch.Tensor): Original time series data\n",
+        "            optim (torch.optim): Optimizer\n",
+        "            optim_params: Optimizer parameters\n",
+        "            max_epochs (int): Number of training epochs\n",
+        "            batch_size (int): Batch size for torch.utils.data.DataLoader\n",
+        "            scheduler (torch.optim.lr_scheduler): Learning rate scheduler\n",
+        "            scheduler_params: Learning rate scheduler parameters\n",
+        "        \"\"\"\n",
+        "        dataset = TensorDataset(x)\n",
+        "        loader = DataLoader(dataset, batch_size=batch_size)\n",
+        "\n",
+        "        if optim_params is not None:\n",
+        "            optimizer = optim(self.parameters(), **optim_params)\n",
+        "        else:\n",
+        "            optimizer = optim(self.parameters())\n",
+        "\n",
+        "        if scheduler is not None:\n",
+        "            if scheduler_params is not None:\n",
+        "                lr_scheduler = scheduler(optimizer, **scheduler_params)\n",
+        "            else:\n",
+        "                lr_scheduler = scheduler(optimizer)\n",
+        "\n",
+        "        for epoch in range(max_epochs):\n",
+        "            for i, data in enumerate(loader, 0):\n",
+        "                self.zero_grad()\n",
+        "\n",
+        "                n = data[0].shape[0]\n",
+        "\n",
+        "                if n < 3:\n",
+        "                    continue\n",
+        "\n",
+        "                # Takes a random data point from \"data\"\n",
+        "                ri = torch.randint(low=0, high=n - 2, size=()).item()\n",
+        "                single_point = data[0][ri : ri + 1, :]\n",
+        "                init_point = {\n",
+        "                    var: single_point[0, i] for i, var in enumerate(self.var_names)\n",
+        "                }\n",
+        "\n",
+        "                pred = {\n",
+        "                    name: value.unsqueeze(0) for name, value in self.init_vars.items()\n",
+        "                }\n",
+        "\n",
+        "                pred = self.step_solver(init_point)\n",
+        "\n",
+        "                predictions = torch.stack([pred[var] for var in self.outvar], dim=0)\n",
+        "\n",
+        "                # Compare numerical integration data with next data point\n",
+        "                loss = self.criterion(predictions, data[0][ri + 1, :])\n",
+        "\n",
+        "                loss.backward(retain_graph=True)\n",
+        "                optimizer.step()\n",
+        "\n",
+        "            if scheduler is not None:\n",
+        "                lr_scheduler.step()\n",
+        "\n",
+        "            print(\"Epoch: \" + str(epoch) + \"\\t Loss: \" + str(loss))\n",
+        "            print(self.coeffs)\n",
+        "            # Testing to see that self.dnns changes\n",
+        "            print(\"DNN(1)\", self.dnn(torch.Tensor([1.])))\n",
+        "\n",
+        "    def _step(self, batch, batch_idx, num_batches):\n",
+        "        (x,) = batch\n",
+        "        nt = x.shape[0]\n",
+        "        pred = self(nt)\n",
+        "        return self.criterion(pred, x)"
+      ],
+      "execution_count": 3,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "vhzCXiGS7vcj"
+      },
+      "source": [
+        "# Duffing equation: Second order ODE system\n",
+        "dt = 0.01\n",
+        "\n",
+        "def x_prime(prev_val, coeffs, dnns):\n",
+        "    return prev_val[\"x_\"]\n",
+        "\n",
+        "def x_prime_prime(prev_val, coeffs, dnns):\n",
+        "    return 0.8*torch.cos(0.5*prev_val[\"t\"]) - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n",
+        "\n",
+        "def t_prime(prev_val, coeffs, dnns):\n",
+        "    return 1\n",
+        "\n",
+        "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"t\": t_prime}\n",
+        "\n",
+        "# Initial conditions [0,0,0]\n",
+        "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
+        "\n",
+        "# Constants (Parameters)\n",
+        "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2}"
+      ],
+      "execution_count": 4,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "0-Om8KZe7zHS"
+      },
+      "source": [
+        "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "NwF7ddNl71cq"
+      },
+      "source": [
+        "ode_solver = ODEDNNSolver(\n",
+        "    ode=ode,\n",
+        "    init_vars=ode_init,\n",
+        "    init_coeffs=ode_coeffs,\n",
+        "    dt=dt,\n",
+        "    solver=\"rk4\"\n",
+        ")\n",
+        "\n",
+        "result = ode_solver(1000)"
+      ],
+      "execution_count": 5,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 265
+        },
+        "id": "UnDf8azV8W0p",
+        "outputId": "6eca4784-0e7d-4537-95d8-94ec220d1156"
+      },
+      "source": [
+        "result_np = result.detach().numpy() # Convert to numpy array\n",
+        "\n",
+        "# 2D plot of X and Z\n",
+        "plt.plot(result_np[:,2], result_np[:,0])\n",
+        "\n",
+        "plt.show()"
+      ],
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "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\n",
+            "text/plain": [
+              "<Figure size 432x288 with 1 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "ObTghBli7-no"
+      },
+      "source": [
+        "# Euler's method for training"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "87VAZZtR7-n1"
+      },
+      "source": [
+        "def x_prime_prime_train(prev_val, coeffs, dnns):\n",
+        "    return dnns(torch.Tensor([prev_val[\"t\"]]))[0] - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n"
+      ],
+      "execution_count": 7,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "dTx1Q0PV7-n2"
+      },
+      "source": [
+        "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0.}\n",
+        "ode_train = {\"x\": x_prime, \"x_\": x_prime_prime_train, \"t\": t_prime}\n",
+        "\n",
+        "ode_solver_train = ODEDNNSolver(\n",
+        "    ode=ode_train,\n",
+        "    init_vars=ode_init,\n",
+        "    init_coeffs=ode_train_coeffs,\n",
+        "    dt=dt,\n",
+        "    solver=\"rk4\"\n",
+        ")"
+      ],
+      "execution_count": 8,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "67eN5ZyB7-n2",
+        "outputId": "1588284b-d8f3-42ed-ff4e-0428b39394e8"
+      },
+      "source": [
+        "ode_solver_train.fit_random_sample(\n",
+        "    result,torch.optim.Adam,\n",
+        "    {\"lr\": 0.02},\n",
+        "    max_epochs=20,\n",
+        "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+        "    scheduler_params={\"milestones\": [10],\"gamma\": 0.2}\n",
+        ")"
+      ],
+      "execution_count": 9,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Epoch: 0\t Loss: tensor(6.2093e-06, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1419, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.1420, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0721, requires_grad=True)}\n",
+            "DNN(1) tensor([0.2365], grad_fn=<TanhBackward>)\n",
+            "Epoch: 1\t Loss: tensor(2.0705e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2504, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.2516, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.1099, requires_grad=True)}\n",
+            "DNN(1) tensor([0.1373], grad_fn=<TanhBackward>)\n",
+            "Epoch: 2\t Loss: tensor(2.1068e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2731, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.2960, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.1083, requires_grad=True)}\n",
+            "DNN(1) tensor([0.2051], grad_fn=<TanhBackward>)\n",
+            "Epoch: 3\t Loss: tensor(2.6809e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2646, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3165, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0769, requires_grad=True)}\n",
+            "DNN(1) tensor([0.3410], grad_fn=<TanhBackward>)\n",
+            "Epoch: 4\t Loss: tensor(2.4307e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2557, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3321, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0659, requires_grad=True)}\n",
+            "DNN(1) tensor([0.2867], grad_fn=<TanhBackward>)\n",
+            "Epoch: 5\t Loss: tensor(2.1748e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2179, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3312, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0237, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4414], grad_fn=<TanhBackward>)\n",
+            "Epoch: 6\t Loss: tensor(2.6169e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1903, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3348, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0237, requires_grad=True)}\n",
+            "DNN(1) tensor([0.3845], grad_fn=<TanhBackward>)\n",
+            "Epoch: 7\t Loss: tensor(1.6772e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1749, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3486, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0295, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4565], grad_fn=<TanhBackward>)\n",
+            "Epoch: 8\t Loss: tensor(3.1222e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1566, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3485, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0641, requires_grad=True)}\n",
+            "DNN(1) tensor([0.2051], grad_fn=<TanhBackward>)\n",
+            "Epoch: 9\t Loss: tensor(5.5046e-06, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1387, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3774, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0270, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4718], grad_fn=<TanhBackward>)\n",
+            "Epoch: 10\t Loss: tensor(8.6054e-06, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1340, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3802, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0232, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4493], grad_fn=<TanhBackward>)\n",
+            "Epoch: 11\t Loss: tensor(1.7816e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1227, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3761, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0155, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4175], grad_fn=<TanhBackward>)\n",
+            "Epoch: 12\t Loss: tensor(1.5981e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1157, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3760, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0098, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4440], grad_fn=<TanhBackward>)\n",
+            "Epoch: 13\t Loss: tensor(1.0512e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1122, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3779, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0064, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4677], grad_fn=<TanhBackward>)\n",
+            "Epoch: 14\t Loss: tensor(1.4457e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1096, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3788, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0031, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4644], grad_fn=<TanhBackward>)\n",
+            "Epoch: 15\t Loss: tensor(1.2071e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1031, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3770, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0009, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4661], grad_fn=<TanhBackward>)\n",
+            "Epoch: 16\t Loss: tensor(1.5328e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.0963, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3764, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0040, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4691], grad_fn=<TanhBackward>)\n",
+            "Epoch: 17\t Loss: tensor(1.4537e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.0909, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3771, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0068, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4822], grad_fn=<TanhBackward>)\n",
+            "Epoch: 18\t Loss: tensor(1.4585e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.0887, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3810, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0104, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4979], grad_fn=<TanhBackward>)\n",
+            "Epoch: 19\t Loss: tensor(1.1779e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.0851, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3836, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0162, requires_grad=True)}\n",
+            "DNN(1) tensor([0.5046], grad_fn=<TanhBackward>)\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 266
+        },
+        "id": "IOMjwKY27-n2",
+        "outputId": "1e8218d2-8200-4b08-9ae5-ec7152cfe18d"
+      },
+      "source": [
+        "result = ode_solver_train(1000)\n",
+        "\n",
+        "result_np = result.detach().numpy() # Convert to numpy array\n",
+        "\n",
+        "# 2D plot of X and Z\n",
+        "plt.plot(result_np[:,2], result_np[:,0])\n",
+        "\n",
+        "plt.show()"
+      ],
+      "execution_count": 10,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "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\n",
+            "text/plain": [
+              "<Figure size 432x288 with 1 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "9adPvysOrfMr"
+      },
+      "source": [
+        "# Mean Squared Error Loss"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "kwktnR93ripb"
+      },
+      "source": [
+        "ode_solver = ODEDNNSolver(\n",
+        "    ode=ode,\n",
+        "    init_vars=ode_init,\n",
+        "    init_coeffs=ode_coeffs,\n",
+        "    dt=dt,\n",
+        "    solver=\"rk4\"\n",
+        ")\n",
+        "\n",
+        "result_train = ode_solver(1000)"
+      ],
+      "execution_count": 11,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "aVYankyRrwoW",
+        "outputId": "bc16f6f1-c234-44cb-c9e6-ce0b4f5e8f45"
+      },
+      "source": [
+        "loss = torch.nn.MSELoss()\n",
+        "loss(result_train,result)"
+      ],
+      "execution_count": 12,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "tensor(0.0529, grad_fn=<MseLossBackward>)"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 12
+        }
+      ]
+    }
+  ]
+}
diff --git a/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
new file mode 100644
index 00000000..54e4a9e1
--- /dev/null
+++ b/examples/ode/DuffingEquation/DuffingTest_fitRandomSample_with_w_RK4.ipynb
@@ -0,0 +1,467 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../../../\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import torch\n",
+    "from torchts.nn.models.ode import ODESolver\n",
+    "import numpy as np\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import mpl_toolkits.mplot3d.axes3d as p3"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Duffing equation: Second order ODE system\n",
+    "dt = 0.01\n",
+    "\n",
+    "def x_prime(prev_val, coeffs):\n",
+    "    return prev_val[\"x_\"]\n",
+    "\n",
+    "def x_prime_prime(prev_val, coeffs):\n",
+    "    return coeffs[\"g\"]*torch.cos(coeffs[\"w\"]*prev_val[\"t\"]) - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n",
+    "\n",
+    "def t_prime(prev_val, coeffs):\n",
+    "    return 1\n",
+    "\n",
+    "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"t\": t_prime}\n",
+    "\n",
+    "# Initial conditions [0,0,0]\n",
+    "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
+    "\n",
+    "# Constants (Parameters)\n",
+    "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2, \"g\": 0.8, \"w\": 0.5}\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")\n",
+    "\n",
+    "result = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tensor([[0.0000e+00, 0.0000e+00, 0.0000e+00],\n",
+       "        [3.9973e-05, 7.9920e-03, 1.0000e-02],\n",
+       "        [1.5979e-04, 1.5968e-02, 2.0000e-02],\n",
+       "        ...,\n",
+       "        [1.3451e-01, 1.5991e-01, 9.9701e+00],\n",
+       "        [1.3612e-01, 1.6162e-01, 9.9801e+00],\n",
+       "        [1.3774e-01, 1.6335e-01, 9.9901e+00]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "result"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 402.802812 297.190125\" width=\"402.802812pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:55:08.268586</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 402.802812 297.190125 \nL 402.802812 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \nL 395.602813 7.2 \nL 38.482813 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m1eb5974cbe\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"54.71554\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(51.53429 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"119.710578\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(116.529328 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"184.705615\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(181.524365 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"249.700653\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(246.519403 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"314.695691\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(311.514441 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"379.690729\" xlink:href=\"#m1eb5974cbe\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(373.328229 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m779729fcc1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"238.995879\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −1.5 -->\n      <g transform=\"translate(7.2 242.795098)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"201.621172\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −1.0 -->\n      <g transform=\"translate(7.2 205.420391)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"164.246466\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −0.5 -->\n      <g transform=\"translate(7.2 168.045684)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"126.871759\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.0 -->\n      <g transform=\"translate(15.579688 130.670978)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"89.497052\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.5 -->\n      <g transform=\"translate(15.579688 93.296271)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"52.122346\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(15.579688 55.921564)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"38.482813\" xlink:href=\"#m779729fcc1\" y=\"14.747639\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 1.5 -->\n      <g transform=\"translate(15.579688 18.546858)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p62fbd3b702)\" d=\"M 54.71554 126.871759 \nL 56.665391 126.76456 \nL 58.615241 126.444806 \nL 60.565093 125.915435 \nL 62.514946 125.179617 \nL 64.78977 124.064788 \nL 67.064594 122.67939 \nL 69.339418 121.02963 \nL 71.614243 119.122141 \nL 74.214042 116.635668 \nL 76.813841 113.833155 \nL 79.738615 110.31784 \nL 82.663389 106.4371 \nL 85.913138 101.722343 \nL 89.162889 96.615297 \nL 92.737612 90.589649 \nL 96.962286 82.996967 \nL 101.836909 73.751639 \nL 117.760678 43.109617 \nL 121.010431 37.538017 \nL 123.935205 32.965223 \nL 126.535004 29.333438 \nL 128.809828 26.543984 \nL 130.759677 24.474365 \nL 132.709526 22.726213 \nL 134.334401 21.529953 \nL 135.959275 20.581458 \nL 137.584149 19.889078 \nL 139.209024 19.459255 \nL 140.833898 19.296321 \nL 142.458773 19.40252 \nL 144.083647 19.777942 \nL 145.708521 20.420564 \nL 147.333396 21.32634 \nL 148.95827 22.489319 \nL 150.583145 23.901791 \nL 152.532994 25.912955 \nL 154.482843 28.251494 \nL 156.757667 31.365917 \nL 159.032492 34.862382 \nL 161.632291 39.278845 \nL 164.557064 44.717415 \nL 167.806813 51.25518 \nL 171.381537 58.938881 \nL 175.60621 68.541685 \nL 180.805808 80.946657 \nL 186.655403 95.488261 \nL 193.155055 112.261767 \nL 199.329725 128.80749 \nL 205.179412 145.09336 \nL 211.354082 162.966477 \nL 218.5037 184.407643 \nL 229.228127 216.648921 \nL 233.127918 227.623056 \nL 236.052762 235.267474 \nL 238.652623 241.489867 \nL 240.927501 246.392469 \nL 242.877397 250.128359 \nL 244.827293 253.383751 \nL 246.452206 255.698631 \nL 248.077119 257.628814 \nL 249.37705 258.883966 \nL 250.67698 259.874413 \nL 251.976911 260.594951 \nL 253.276841 261.042364 \nL 254.576772 261.215501 \nL 255.876702 261.115352 \nL 257.176633 260.744965 \nL 258.476563 260.109481 \nL 259.776494 259.215983 \nL 261.076424 258.073393 \nL 262.701338 256.311153 \nL 264.326251 254.200276 \nL 266.276146 251.245108 \nL 268.226042 247.877574 \nL 270.500921 243.499579 \nL 273.100782 238.011286 \nL 276.350608 230.612994 \nL 281.225347 218.878026 \nL 289.999878 197.693401 \nL 294.224652 188.11144 \nL 297.799461 180.506791 \nL 301.37427 173.427431 \nL 304.624096 167.474483 \nL 307.873923 161.990537 \nL 311.123749 156.973161 \nL 314.048593 152.847739 \nL 316.973421 149.07957 \nL 319.898264 145.653558 \nL 322.823108 142.552366 \nL 325.747952 139.757007 \nL 328.672795 137.247279 \nL 331.922622 134.768035 \nL 335.172448 132.585593 \nL 338.422274 130.669524 \nL 341.997083 128.832719 \nL 345.571892 127.239633 \nL 349.796666 125.614561 \nL 354.671406 124.001907 \nL 361.171058 122.118096 \nL 373.520398 118.585508 \nL 378.395137 116.936205 \nL 379.370085 116.57568 \nL 379.370085 116.57568 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 38.482813 273.312 \nL 38.482813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 395.602813 273.312 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 38.482813 273.312 \nL 395.602813 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 38.482813 7.2 \nL 395.602813 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p62fbd3b702\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"38.482813\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "result_np = result.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(result_np[:,2], result_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Euler's method for training"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0., \"g\": 0., \"w\": 1.}\n",
+    "\n",
+    "ode_solver_train = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_train_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 409.165312 297.190125\" width=\"409.165312pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T18:55:09.891956</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 409.165312 297.190125 \nL 409.165312 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \nL 401.965312 7.2 \nL 44.845313 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m3f82b5a707\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"61.07804\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(57.89679 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.073078\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(122.891828 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"191.068115\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4 -->\n      <g transform=\"translate(187.886865 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"256.063153\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6 -->\n      <g transform=\"translate(252.881903 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.058191\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(317.876941 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.053229\" xlink:href=\"#m3f82b5a707\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10 -->\n      <g transform=\"translate(379.690729 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mf64d9a577a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"237.024\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −0.04 -->\n      <g transform=\"translate(7.2 240.823219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"188.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −0.02 -->\n      <g transform=\"translate(7.2 192.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"179.199219\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"242.822266\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"140.256\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.00 -->\n      <g transform=\"translate(15.579688 144.055219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"91.872\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.02 -->\n      <g transform=\"translate(15.579688 95.671219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"44.845313\" xlink:href=\"#mf64d9a577a\" y=\"43.488\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.04 -->\n      <g transform=\"translate(15.579688 47.287219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_12\">\n    <path clip-path=\"url(#p9d75420db5)\" d=\"M 61.07804 140.256 \nL 385.732585 140.256 \nL 385.732585 140.256 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 44.845313 273.312 \nL 44.845313 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 401.965312 273.312 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 44.845313 273.312 \nL 401.965312 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 44.845313 7.2 \nL 401.965312 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p9d75420db5\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"44.845313\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(1000)\n",
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot of X and Z\n",
+    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch: 0\t Loss: tensor(8.9032e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0939, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.2094, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.2346, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.6090, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.2538, requires_grad=True)}\n",
+      "Epoch: 1\t Loss: tensor(4.9188e-08, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(0.0489, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.3273, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.1743, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.5939, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.1477, requires_grad=True)}\n",
+      "Epoch: 2\t Loss: tensor(4.3954e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.2185, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.3450, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.3001, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.4604, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.2030, requires_grad=True)}\n",
+      "Epoch: 3\t Loss: tensor(3.3049e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.3561, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.3772, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(0.0100, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.5225, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.2189, requires_grad=True)}\n",
+      "Epoch: 4\t Loss: tensor(7.9197e-07, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.3269, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.4776, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.2438, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.5106, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.1436, requires_grad=True)}\n",
+      "Epoch: 5\t Loss: tensor(3.3845e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.5730, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.2565, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.1418, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.3832, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.2320, requires_grad=True)}\n",
+      "Epoch: 6\t Loss: tensor(1.0648e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.1834, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5642, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.1710, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.8034, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.1777, requires_grad=True)}\n",
+      "Epoch: 7\t Loss: tensor(3.9116e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.6395, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.3052, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.4333, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.3324, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.2096, requires_grad=True)}\n",
+      "Epoch: 8\t Loss: tensor(8.1171e-06, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.3244, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.5010, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.0407, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.6752, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.2112, requires_grad=True)}\n",
+      "Epoch: 9\t Loss: tensor(8.6279e-08, grad_fn=<MseLossBackward>)\n",
+      "{'a': Parameter containing:\n",
+      "tensor(-0.5913, requires_grad=True), 'b': Parameter containing:\n",
+      "tensor(0.2579, requires_grad=True), 'd': Parameter containing:\n",
+      "tensor(-0.1300, requires_grad=True), 'g': Parameter containing:\n",
+      "tensor(0.4061, requires_grad=True), 'w': Parameter containing:\n",
+      "tensor(1.1630, requires_grad=True)}\n"
+     ]
+    }
+   ],
+   "source": [
+    "ode_solver_train.fit_random_sample(\n",
+    "    result,torch.optim.Adam,\n",
+    "    {\"lr\": 0.1},\n",
+    "    max_epochs=10\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'a': Parameter containing:\n",
+       " tensor(-0.5913, requires_grad=True),\n",
+       " 'b': Parameter containing:\n",
+       " tensor(0.2579, requires_grad=True),\n",
+       " 'd': Parameter containing:\n",
+       " tensor(-0.1300, requires_grad=True),\n",
+       " 'g': Parameter containing:\n",
+       " tensor(0.4061, requires_grad=True),\n",
+       " 'w': Parameter containing:\n",
+       " tensor(1.1630, requires_grad=True)}"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ode_solver_train.coeffs\n",
+    "\n",
+    "# Awful results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Predictions for nt = 10000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tensor([[ 0.0000e+00,  0.0000e+00,  0.0000e+00],\n",
+       "        [ 2.0315e-05,  4.0638e-03,  1.0000e-02],\n",
+       "        [ 8.1293e-05,  8.1327e-03,  2.0000e-02],\n",
+       "        ...,\n",
+       "        [-2.5672e+00, -2.0745e+03,  9.9973e+01],\n",
+       "        [-2.3307e+01, -2.0681e+03,  9.9983e+01],\n",
+       "        [-4.3622e+01, -1.9648e+03,  9.9993e+01]], grad_fn=<StackBackward>)"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results_test = ode_solver_train(10000)\n",
+    "results_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 399.624687 297.190125\" width=\"399.624687pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T19:00:20.434921</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 399.624687 297.190125 \nL 399.624687 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 35.304688 273.312 \nL 392.424688 273.312 \nL 392.424688 7.2 \nL 35.304688 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"macdbf88d51\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"51.537415\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(48.356165 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"116.472902\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 20 -->\n      <g transform=\"translate(110.110402 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"181.408388\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 40 -->\n      <g transform=\"translate(175.045888 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"246.343875\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 60 -->\n      <g transform=\"translate(239.981375 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"311.279362\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 80 -->\n      <g transform=\"translate(304.916862 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"376.214849\" xlink:href=\"#macdbf88d51\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 100 -->\n      <g transform=\"translate(366.671099 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m7d1ed529b0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"269.185453\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- −80 -->\n      <g transform=\"translate(7.2 272.984672)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" id=\"DejaVuSans-2212\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"237.11892\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- −60 -->\n      <g transform=\"translate(7.2 240.918139)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"205.052387\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- −40 -->\n      <g transform=\"translate(7.2 208.851606)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"172.985854\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- −20 -->\n      <g transform=\"translate(7.2 176.785073)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-2212\"/>\n       <use x=\"83.789062\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"147.412109\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"140.919321\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0 -->\n      <g transform=\"translate(21.942187 144.71854)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"108.852788\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 20 -->\n      <g transform=\"translate(15.579687 112.652007)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"76.786255\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 40 -->\n      <g transform=\"translate(15.579687 80.585474)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"44.719722\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 60 -->\n      <g transform=\"translate(15.579687 48.518941)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"35.304688\" xlink:href=\"#m7d1ed529b0\" y=\"12.653189\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 80 -->\n      <g transform=\"translate(15.579687 16.452408)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#pe2998799f4)\" d=\"M 51.537415 140.919321 \nL 53.420543 140.80929 \nL 55.433541 140.464812 \nL 57.933555 139.797424 \nL 64.199824 138.009609 \nL 65.888178 137.850188 \nL 67.738881 137.912265 \nL 75.49885 138.670245 \nL 78.193733 139.101129 \nL 84.46015 140.2447 \nL 86.083575 140.222039 \nL 87.544657 139.979079 \nL 88.97327 139.510792 \nL 90.531757 138.754366 \nL 93.324047 137.343324 \nL 94.200696 137.191381 \nL 95.012409 137.277541 \nL 95.889058 137.606621 \nL 97.025455 138.294444 \nL 99.557997 140.177094 \nL 103.551621 143.326046 \nL 105.239982 144.583784 \nL 106.084162 144.952018 \nL 106.798469 145.028754 \nL 107.512776 144.870858 \nL 108.324488 144.448816 \nL 109.590759 143.498413 \nL 112.318112 141.430552 \nL 115.987051 139.106863 \nL 119.42871 136.934977 \nL 120.240423 136.747572 \nL 120.987198 136.802814 \nL 121.79891 137.098716 \nL 122.87037 137.749067 \nL 129.656284 142.565476 \nL 131.279708 144.19379 \nL 132.545979 145.367191 \nL 133.227817 145.710943 \nL 133.779781 145.747056 \nL 134.331746 145.548326 \nL 134.981115 145.050217 \nL 135.890233 144.034623 \nL 137.870811 141.393181 \nL 139.559172 138.846892 \nL 141.669624 135.567496 \nL 142.189119 135.204653 \nL 142.578741 135.175761 \nL 142.968363 135.367041 \nL 143.45539 135.883828 \nL 144.137229 136.976214 \nL 145.565842 139.798368 \nL 147.481483 143.979707 \nL 148.780222 146.745715 \nL 149.26725 147.327608 \nL 149.624403 147.45438 \nL 149.949088 147.324644 \nL 150.33871 146.878817 \nL 150.858205 145.900345 \nL 151.83226 143.485906 \nL 154.429739 136.351443 \nL 155.241451 134.435252 \nL 155.663498 133.912993 \nL 155.955659 133.8345 \nL 156.247819 134.004083 \nL 156.604905 134.522599 \nL 157.124301 135.737317 \nL 158.228019 139.067785 \nL 161.149626 147.86265 \nL 161.539173 148.302252 \nL 161.798872 148.31674 \nL 162.05857 148.101155 \nL 162.415655 147.466757 \nL 162.967514 145.936227 \nL 164.33093 141.229907 \nL 166.538366 133.820245 \nL 166.927914 133.258556 \nL 167.187612 133.201242 \nL 167.447311 133.411683 \nL 167.771934 134.01906 \nL 168.29133 135.575638 \nL 169.427511 139.936852 \nL 171.732333 148.691181 \nL 172.056956 149.142505 \nL 172.284192 149.160979 \nL 172.511428 148.926842 \nL 172.836051 148.196354 \nL 173.355448 146.336161 \nL 174.589015 140.76809 \nL 176.439366 132.555968 \nL 176.763989 132.008772 \nL 176.958763 131.983939 \nL 177.153536 132.19541 \nL 177.445697 132.91814 \nL 177.900169 134.755739 \nL 179.003887 140.493962 \nL 180.821776 149.742683 \nL 181.146399 150.365791 \nL 181.341172 150.375171 \nL 181.535946 150.102431 \nL 181.828107 149.219186 \nL 182.315041 146.874507 \nL 183.775844 138.184347 \nL 184.879562 132.060124 \nL 185.236648 131.142024 \nL 185.431421 131.071223 \nL 185.593733 131.259893 \nL 185.853431 131.996066 \nL 186.275441 134.049242 \nL 187.281772 140.491664 \nL 188.904887 150.578525 \nL 189.197047 151.2553 \nL 189.359359 151.275634 \nL 189.52167 151.032716 \nL 189.781369 150.144463 \nL 190.203379 147.753779 \nL 191.339559 139.516245 \nL 192.605588 130.765316 \nL 192.897749 129.968277 \nL 193.06006 129.946296 \nL 193.222372 130.236521 \nL 193.48207 131.285618 \nL 193.936542 134.299243 \nL 195.46227 146.811739 \nL 196.143978 151.537405 \nL 196.436139 152.349843 \nL 196.565988 152.352522 \nL 196.7283 152.035944 \nL 196.987998 150.86678 \nL 197.44247 147.520679 \nL 199.714831 129.168723 \nL 199.877142 129.010634 \nL 199.909604 129.027653 \nL 200.039454 129.256767 \nL 200.26669 130.231472 \nL 200.656237 133.13547 \nL 201.792417 144.116517 \nL 202.733824 152.482203 \nL 202.993522 153.378313 \nL 203.123372 153.395272 \nL 203.285683 152.999049 \nL 203.545381 151.514897 \nL 204.032316 147.022612 \nL 205.947591 128.25149 \nL 206.142365 127.916434 \nL 206.272214 128.113595 \nL 206.466988 129.006741 \nL 206.824073 132.038347 \nL 207.830404 143.494197 \nL 208.771811 153.372206 \nL 209.031509 154.351367 \nL 209.128896 154.343793 \nL 209.258745 154.006148 \nL 209.485981 152.605263 \nL 209.907991 148.225915 \nL 211.790804 127.061333 \nL 211.920653 126.892647 \nL 211.953115 126.917193 \nL 212.082965 127.279058 \nL 212.310201 128.825362 \nL 212.73221 133.646171 \nL 214.485174 155.155337 \nL 214.647486 155.441661 \nL 214.744873 155.258082 \nL 214.939646 154.138053 \nL 215.296732 150.193324 \nL 217.212007 125.954075 \nL 217.276932 125.931095 \nL 217.309394 125.969039 \nL 217.439243 126.44302 \nL 217.666479 128.364491 \nL 218.153414 135.094031 \nL 219.614217 155.945979 \nL 219.808991 156.473688 \nL 219.906377 156.247325 \nL 220.101151 154.876695 \nL 220.458236 150.158414 \nL 222.178738 124.948582 \nL 222.243663 124.877389 \nL 222.276125 124.90238 \nL 222.405974 125.399513 \nL 222.63321 127.611222 \nL 223.120144 135.415246 \nL 224.418636 156.694578 \nL 224.61341 157.455887 \nL 224.710797 157.24793 \nL 224.873108 156.06601 \nL 225.197731 151.429372 \nL 226.885771 123.84253 \nL 226.950695 123.874665 \nL 227.080544 124.514247 \nL 227.30778 127.207569 \nL 227.859639 137.584105 \nL 228.963357 157.753994 \nL 229.125669 158.474176 \nL 229.158131 158.461737 \nL 229.255518 158.108009 \nL 229.450292 156.110883 \nL 229.839839 148.9771 \nL 231.170793 123.267141 \nL 231.300643 122.838075 \nL 231.333105 122.874872 \nL 231.462954 123.590087 \nL 231.69019 126.693759 \nL 232.274511 139.214649 \nL 233.24838 158.880432 \nL 233.410692 159.517224 \nL 233.508078 159.148845 \nL 233.702852 156.878624 \nL 234.0924 148.743206 \nL 235.325967 122.242133 \nL 235.455816 121.849173 \nL 235.488278 121.921107 \nL 235.618128 122.869483 \nL 235.877826 127.294549 \nL 236.689383 147.43376 \nL 237.273705 159.750995 \nL 237.436016 160.537887 \nL 237.533403 160.129739 \nL 237.728177 157.524173 \nL 238.150186 147.446972 \nL 239.221442 121.520335 \nL 239.351291 120.809293 \nL 239.383754 120.829039 \nL 239.481141 121.363952 \nL 239.675914 124.312477 \nL 240.130386 136.012239 \nL 241.104255 160.737803 \nL 241.234104 161.53326 \nL 241.266567 161.519662 \nL 241.363954 160.965624 \nL 241.558727 157.836512 \nL 242.045662 144.508904 \nL 242.954606 120.497746 \nL 243.084455 119.771672 \nL 243.116917 119.820506 \nL 243.214304 120.516412 \nL 243.409078 124.024175 \nL 243.928475 139.220535 \nL 244.772494 162.027243 \nL 244.869881 162.544576 \nL 244.902344 162.518865 \nL 244.99973 161.850394 \nL 245.194504 158.225463 \nL 245.713901 142.288333 \nL 246.525458 119.304062 \nL 246.622845 118.760498 \nL 246.655307 118.792378 \nL 246.752694 119.52276 \nL 246.947468 123.417044 \nL 247.499327 141.337979 \nL 248.213498 162.712018 \nL 248.343347 163.575983 \nL 248.375809 163.508296 \nL 248.473196 162.631396 \nL 248.700432 157.397555 \nL 249.479527 130.13527 \nL 249.901537 118.473225 \nL 249.998924 117.768398 \nL 250.063848 117.906402 \nL 250.193697 119.592371 \nL 250.453396 126.994058 \nL 251.622038 164.561089 \nL 251.654501 164.603632 \nL 251.686963 164.51452 \nL 251.816812 162.898724 \nL 252.076511 155.26156 \nL 253.212691 116.834754 \nL 253.245153 116.747496 \nL 253.277615 116.800308 \nL 253.375002 117.77999 \nL 253.569776 122.783352 \nL 254.251484 149.808335 \nL 254.738419 165.200314 \nL 254.803343 165.610382 \nL 254.868268 165.426461 \nL 254.998117 163.362533 \nL 255.290278 153.293311 \nL 256.296609 115.936836 \nL 256.361533 115.733226 \nL 256.393996 115.869027 \nL 256.523845 117.910343 \nL 256.816005 128.344125 \nL 257.789874 166.308208 \nL 257.854799 166.627352 \nL 257.887261 166.534818 \nL 257.984648 165.277184 \nL 258.211884 157.949878 \nL 259.315602 114.706767 \nL 259.348064 114.73593 \nL 259.445488 115.874024 \nL 259.640336 121.969886 \nL 260.77695 167.63377 \nL 260.8419 167.198088 \nL 261.004273 163.163347 \nL 261.426444 143.690887 \nL 262.108412 114.297841 \nL 262.205836 113.702071 \nL 262.238311 113.902312 \nL 262.36821 116.565273 \nL 262.660482 129.314346 \nL 263.537298 168.463204 \nL 263.569773 168.640978 \nL 263.602247 168.607146 \nL 263.699671 167.264575 \nL 263.926994 158.629041 \nL 264.933709 112.683392 \nL 264.966184 112.706695 \nL 265.063608 114.089343 \nL 265.258456 121.495536 \nL 266.297646 169.665084 \nL 266.33012 169.474305 \nL 266.460019 166.514376 \nL 266.752291 152.107704 \nL 267.564158 111.854408 \nL 267.596633 111.665658 \nL 267.629108 111.725701 \nL 267.726532 113.356003 \nL 267.953854 123.368972 \nL 268.89562 170.696524 \nL 268.960569 170.236613 \nL 269.090468 166.45903 \nL 269.44769 146.416255 \nL 270.129658 110.878108 \nL 270.162133 110.657757 \nL 270.194607 110.71291 \nL 270.292031 112.483777 \nL 270.519354 123.379693 \nL 271.428645 171.710631 \nL 271.493594 171.032466 \nL 271.655968 164.997144 \nL 272.240512 127.607572 \nL 272.597733 110.070537 \nL 272.662683 109.640687 \nL 272.695157 109.881421 \nL 272.825056 113.642205 \nL 273.149803 133.45435 \nL 273.831771 172.573071 \nL 273.864246 172.726989 \nL 273.896721 172.56083 \nL 273.994145 170.232329 \nL 274.253942 155.334895 \nL 275.033334 108.679381 \nL 275.065809 108.626895 \nL 275.163233 110.437613 \nL 275.390556 122.909228 \nL 276.202423 173.636851 \nL 276.234898 173.726961 \nL 276.299847 172.860695 \nL 276.46222 165.578742 \nL 277.371511 107.603106 \nL 277.436461 108.119256 \nL 277.566359 113.119695 \nL 277.98853 143.876022 \nL 278.47565 174.427376 \nL 278.508125 174.733028 \nL 278.5406 174.654073 \nL 278.638024 172.193686 \nL 278.865347 157.732824 \nL 279.612264 106.689361 \nL 279.644739 106.580767 \nL 279.709688 107.562761 \nL 279.872062 115.794258 \nL 280.748878 175.750758 \nL 280.781353 175.428266 \nL 280.911251 170.343203 \nL 281.300947 139.528243 \nL 281.788068 105.87419 \nL 281.820542 105.565566 \nL 281.853017 105.696544 \nL 281.950441 108.607687 \nL 282.210239 127.63378 \nL 282.892207 176.775883 \nL 282.957156 176.038195 \nL 283.11953 167.431403 \nL 283.963871 104.564404 \nL 284.028821 105.78048 \nL 284.191194 115.484143 \nL 285.003061 177.79147 \nL 285.035536 177.433384 \nL 285.165434 171.536906 \nL 285.587605 133.586411 \nL 286.009776 103.576328 \nL 286.042251 103.623463 \nL 286.139675 106.758101 \nL 286.399472 128.229358 \nL 287.016491 178.720788 \nL 287.048966 178.779161 \nL 287.14639 175.810761 \nL 287.373713 157.111947 \nL 288.023206 102.561145 \nL 288.055681 102.624316 \nL 288.153105 106.046303 \nL 288.412902 128.968478 \nL 288.997446 179.66576 \nL 289.029921 179.819747 \nL 289.094871 178.388048 \nL 289.257244 166.84511 \nL 290.004162 101.523026 \nL 290.036636 101.985286 \nL 290.166535 109.178326 \nL 290.68613 163.409909 \nL 290.945927 180.814591 \nL 290.978402 180.708441 \nL 291.075826 176.781409 \nL 291.368098 147.973169 \nL 291.887693 100.584384 \nL 291.920168 100.551925 \nL 292.017592 104.242933 \nL 292.277389 129.886742 \nL 292.829459 181.807588 \nL 292.861933 181.738903 \nL 292.959357 177.636935 \nL 293.251629 147.217472 \nL 293.771224 99.471293 \nL 293.836174 101.020069 \nL 293.998547 114.397945 \nL 294.680515 182.874673 \nL 294.71299 182.534193 \nL 294.810414 177.439045 \nL 295.135161 140.74846 \nL 295.589806 98.460018 \nL 295.654756 100.199149 \nL 295.817129 114.569266 \nL 296.466623 183.850027 \nL 296.499097 183.702914 \nL 296.596521 178.807133 \nL 296.921268 140.524197 \nL 297.343439 97.522963 \nL 297.375914 97.553602 \nL 297.473338 102.301059 \nL 297.76561 137.098958 \nL 298.220255 184.867507 \nL 298.25273 184.693263 \nL 298.350154 179.413965 \nL 298.674901 139.049943 \nL 299.097072 96.435713 \nL 299.162021 98.472706 \nL 299.356869 119.009498 \nL 299.941413 185.920091 \nL 300.006363 184.19952 \nL 300.168736 167.968311 \nL 300.785755 95.408533 \nL 300.81823 95.910958 \nL 300.948128 106.026682 \nL 301.630097 186.860029 \nL 301.695046 184.213036 \nL 301.889894 161.315642 \nL 302.441964 94.395909 \nL 302.506913 96.454315 \nL 302.669286 114.37192 \nL 303.253831 187.953209 \nL 303.286305 187.471255 \nL 303.416204 176.605027 \nL 304.065698 93.394686 \nL 304.130647 95.819331 \nL 304.325495 119.983807 \nL 304.84509 188.886188 \nL 304.877565 188.761686 \nL 304.974989 182.218692 \nL 305.33221 128.10421 \nL 305.656957 92.428488 \nL 305.754381 98.329357 \nL 306.079128 147.83113 \nL 306.436349 189.932738 \nL 306.501299 186.964632 \nL 306.696147 160.441615 \nL 307.183267 91.497877 \nL 307.215742 91.511091 \nL 307.313166 98.350663 \nL 307.670387 156.061233 \nL 307.962659 190.997297 \nL 308.027609 188.615842 \nL 308.222457 161.717725 \nL 308.709577 90.408641 \nL 308.742051 90.623947 \nL 308.839475 98.375929 \nL 309.261646 170.250219 \nL 309.456494 191.902862 \nL 309.488969 191.773792 \nL 309.586393 184.028116 \nL 310.008564 110.762692 \nL 310.203412 89.362012 \nL 310.235887 89.712519 \nL 310.333311 98.212663 \nL 310.95033 193.010538 \nL 311.047754 186.473519 \nL 311.3725 129.090602 \nL 311.664773 88.354177 \nL 311.697247 88.70515 \nL 311.794671 97.637125 \nL 312.379216 193.892421 \nL 312.47664 189.332643 \nL 312.736437 143.695676 \nL 313.093658 87.42038 \nL 313.126133 87.558337 \nL 313.223557 96.419707 \nL 313.808101 195.027198 \nL 313.905525 189.048411 \nL 314.197798 134.06394 \nL 314.522544 86.334484 \nL 314.587494 90.322874 \nL 314.814816 131.343497 \nL 315.204513 196.057901 \nL 315.269462 193.091027 \nL 315.46431 159.284554 \nL 315.886481 85.319279 \nL 315.918956 85.737646 \nL 316.01638 96.209435 \nL 316.568449 197.033515 \nL 316.633399 194.360268 \nL 316.828247 159.569076 \nL 317.250417 84.249482 \nL 317.315367 87.747835 \nL 317.510215 124.163651 \nL 317.932386 197.949973 \nL 318.02981 188.222604 \nL 318.581879 83.237035 \nL 318.679303 91.188647 \nL 319.036525 169.712011 \nL 319.231373 199.0433 \nL 319.263848 198.567386 \nL 319.361272 186.71095 \nL 319.880866 82.325739 \nL 319.945816 85.024001 \nL 320.140664 123.324532 \nL 320.53036 200.079691 \nL 320.562835 199.468542 \nL 320.660259 186.777519 \nL 321.179854 81.217807 \nL 321.244803 85.650221 \nL 321.472126 135.254646 \nL 321.796873 200.894627 \nL 321.829347 200.831966 \nL 321.926771 188.861925 \nL 322.446366 80.221232 \nL 322.511315 85.141977 \nL 322.738638 136.948234 \nL 323.063385 202.142571 \nL 323.09586 201.188089 \nL 323.225758 179.256723 \nL 323.680404 79.210927 \nL 323.712879 80.03615 \nL 323.842777 102.066692 \nL 324.297423 203.159115 \nL 324.329897 202.098168 \nL 324.459796 179.050775 \nL 324.914442 78.215453 \nL 324.946916 79.891868 \nL 325.076815 104.824432 \nL 325.498986 203.954222 \nL 325.531461 203.747647 \nL 325.628885 189.705267 \nL 326.116005 77.179545 \nL 326.180954 82.771806 \nL 326.440752 149.746361 \nL 326.700549 205.14194 \nL 326.733024 204.309555 \nL 326.862922 180.049769 \nL 327.285093 76.313454 \nL 327.317568 76.716989 \nL 327.414992 92.120042 \nL 327.869638 206.00276 \nL 327.934587 202.620834 \nL 328.129435 153.636436 \nL 328.454182 75.230115 \nL 328.486656 75.908274 \nL 328.58408 92.539693 \nL 329.038726 207.210184 \nL 329.103675 201.660272 \nL 329.363473 129.244616 \nL 329.62327 74.334818 \nL 329.720694 89.296758 \nL 330.17534 208.206074 \nL 330.240289 202.925519 \nL 330.467612 138.692549 \nL 330.727409 73.423265 \nL 330.759884 73.581173 \nL 330.857308 90.387761 \nL 331.311954 209.057548 \nL 331.344428 206.458288 \nL 331.506802 164.213855 \nL 331.864023 72.191039 \nL 331.961447 87.391988 \nL 332.416093 210.120073 \nL 332.481042 202.118798 \nL 332.805789 99.714757 \nL 332.968162 71.399994 \nL 333.000637 74.486849 \nL 333.195485 130.617338 \nL 333.487757 211.105565 \nL 333.520232 210.388244 \nL 333.65013 180.540732 \nL 334.039827 70.096227 \nL 334.072301 72.219987 \nL 334.234675 116.758403 \nL 334.559421 212.005559 \nL 334.591896 211.56595 \nL 334.68932 191.699211 \nL 335.111491 69.186729 \nL 335.143966 71.932832 \nL 335.306339 119.122393 \nL 335.631086 213.275846 \nL 335.663561 211.395736 \nL 335.793459 176.877935 \nL 336.150681 68.093977 \nL 336.183155 69.484735 \nL 336.313054 103.503423 \nL 336.670276 214.231876 \nL 336.70275 212.920219 \nL 336.832649 178.528106 \nL 337.18987 67.062375 \nL 337.222345 68.727328 \nL 337.352244 104.417551 \nL 337.709465 215.271484 \nL 337.74194 212.808023 \nL 337.904313 162.6712 \nL 338.22906 66.384944 \nL 338.326484 87.135444 \nL 338.71618 216.225961 \nL 338.78113 209.589639 \nL 339.040927 114.597147 \nL 339.235775 65.250345 \nL 339.26825 68.733255 \nL 339.463098 135.936133 \nL 339.722895 217.300529 \nL 339.75537 215.420273 \nL 339.885269 176.482403 \nL 340.210016 64.322651 \nL 340.24249 64.944498 \nL 340.339914 89.418544 \nL 340.729611 217.853728 \nL 340.762085 213.590494 \nL 340.956933 142.28779 \nL 341.216731 63.321202 \nL 341.314155 85.966001 \nL 341.703851 219.00437 \nL 341.736326 214.945001 \nL 341.931174 142.13001 \nL 342.190971 62.550443 \nL 342.288395 87.132624 \nL 342.645617 220.056498 \nL 342.710566 213.646206 \nL 342.970363 108.18814 \nL 343.132737 61.008175 \nL 343.165211 63.32177 \nL 343.327585 121.473965 \nL 343.619857 221.032907 \nL 343.652332 216.770903 \nL 343.84718 139.817719 \nL 344.074502 60.085943 \nL 344.106977 61.755948 \nL 344.236876 105.657838 \nL 344.561623 221.947237 \nL 344.594097 217.325869 \nL 344.788945 137.852285 \nL 345.016268 58.997142 \nL 345.048743 61.905049 \nL 345.211116 124.363761 \nL 345.470914 223.210576 \nL 345.503388 221.662228 \nL 345.633287 176.105779 \nL 345.925559 58.428225 \nL 345.958034 59.036402 \nL 346.087933 103.356496 \nL 346.380205 223.686833 \nL 346.412679 223.563891 \nL 346.510103 194.424036 \nL 346.83485 57.66609 \nL 346.8998 63.562804 \nL 347.159597 181.302768 \nL 347.289496 224.875725 \nL 347.32197 224.269047 \nL 347.451869 177.969387 \nL 347.744141 56.151583 \nL 347.776616 57.7645 \nL 347.906515 106.699162 \nL 348.198787 226.354116 \nL 348.231261 223.216913 \nL 348.393635 154.546428 \nL 348.653432 55.343388 \nL 348.685907 60.489894 \nL 348.91323 166.454749 \nL 349.075603 227.142024 \nL 349.108078 225.587395 \nL 349.237976 174.750939 \nL 349.530249 54.151186 \nL 349.562723 58.802053 \nL 349.757571 149.487498 \nL 349.952419 228.205657 \nL 349.984894 226.29693 \nL 350.114793 173.448453 \nL 350.407065 53.600697 \nL 350.43954 59.657802 \nL 350.699337 188.943286 \nL 350.829236 229.28532 \nL 350.86171 224.956606 \nL 351.056558 131.572387 \nL 351.251407 52.001854 \nL 351.283881 54.977204 \nL 351.446255 129.473077 \nL 351.673577 230.196983 \nL 351.706052 228.131602 \nL 351.835951 172.22953 \nL 352.095748 51.256851 \nL 352.128223 52.896661 \nL 352.258122 108.753895 \nL 352.517919 231.090145 \nL 352.550394 229.365436 \nL 352.680292 172.644722 \nL 352.94009 50.120429 \nL 352.972565 52.459199 \nL 353.134938 129.50105 \nL 353.362261 232.339136 \nL 353.394735 228.847975 \nL 353.557109 148.990297 \nL 353.784432 49.12961 \nL 353.816906 54.299884 \nL 354.011754 156.607802 \nL 354.206602 232.457747 \nL 354.239077 225.133958 \nL 354.596299 48.120644 \nL 354.693723 75.595136 \nL 355.018469 234.068383 \nL 355.050944 228.123957 \nL 355.278267 101.817145 \nL 355.408166 47.282877 \nL 355.44064 49.283482 \nL 355.570539 111.591466 \nL 355.830336 234.941294 \nL 355.862811 228.446275 \nL 356.122608 79.634395 \nL 356.220032 46.047838 \nL 356.252507 49.597959 \nL 356.414881 136.098344 \nL 356.609729 235.649251 \nL 356.642203 234.714566 \nL 356.772102 171.970964 \nL 357.031899 45.599183 \nL 357.064374 52.854477 \nL 357.421596 237.168932 \nL 357.486545 218.197263 \nL 357.811292 44.055973 \nL 357.876241 61.442731 \nL 358.200988 238.285396 \nL 358.265937 221.62758 \nL 358.590684 43.062475 \nL 358.655633 59.920047 \nL 358.98038 239.26457 \nL 359.04533 221.247237 \nL 359.370076 42.193454 \nL 359.435026 62.310443 \nL 359.759773 239.715989 \nL 359.792247 231.910677 \nL 360.116994 42.027234 \nL 360.214418 69.425854 \nL 360.50669 241.134019 \nL 360.539165 237.577531 \nL 360.701538 140.24781 \nL 360.896386 40.335681 \nL 360.928861 47.331862 \nL 361.253608 241.439909 \nL 361.351032 211.786195 \nL 361.643304 39.166183 \nL 361.675779 45.062541 \nL 361.903101 194.856286 \nL 362.000525 242.3029 \nL 362.065475 230.447876 \nL 362.390222 38.305204 \nL 362.455171 60.864267 \nL 362.747443 243.920141 \nL 362.812392 227.889945 \nL 363.137139 38.402648 \nL 363.169614 48.578185 \nL 363.494361 244.911749 \nL 363.55931 220.809152 \nL 363.851582 36.21663 \nL 363.884057 41.638451 \nL 364.078905 175.398104 \nL 364.208804 245.919932 \nL 364.241278 242.258074 \nL 364.403652 134.428606 \nL 364.566025 35.749107 \nL 364.5985 38.164813 \nL 364.760873 145.281035 \nL 364.923247 246.327822 \nL 364.955721 244.605192 \nL 365.08562 162.769127 \nL 365.280468 35.087468 \nL 365.312943 36.69548 \nL 365.442841 119.210252 \nL 365.637689 247.382941 \nL 365.670164 245.292556 \nL 365.832538 135.42113 \nL 365.994911 33.674613 \nL 366.027386 36.857975 \nL 366.189759 149.375018 \nL 366.352132 248.934169 \nL 366.384607 244.045401 \nL 366.579455 101.947864 \nL 366.709354 32.395873 \nL 366.741829 39.580323 \nL 367.066575 249.332665 \nL 367.131525 219.878247 \nL 367.391322 32.490833 \nL 367.456272 46.887941 \nL 367.748544 250.872701 \nL 367.813493 228.832831 \nL 368.105765 31.002393 \nL 368.13824 41.115589 \nL 368.430512 251.285117 \nL 368.495461 233.570126 \nL 368.787733 29.687972 \nL 368.852683 58.048586 \nL 369.11248 252.095306 \nL 369.17743 234.65886 \nL 369.469702 28.913819 \nL 369.502176 38.792843 \nL 369.794448 253.552015 \nL 369.859398 232.046371 \nL 370.15167 29.159715 \nL 370.184145 42.237564 \nL 370.476417 254.553678 \nL 370.541366 224.984441 \nL 370.801163 26.773355 \nL 370.866113 50.219237 \nL 371.12591 254.682302 \nL 371.19086 236.938993 \nL 371.483132 27.249918 \nL 371.515606 40.758977 \nL 371.807879 255.897384 \nL 371.872828 221.573188 \nL 372.132625 25.066298 \nL 372.1651 35.40145 \nL 372.457372 257.404809 \nL 372.522321 226.370031 \nL 372.782119 23.921417 \nL 372.814594 33.099518 \nL 373.106866 258.361799 \nL 373.171815 227.043584 \nL 373.431612 23.12587 \nL 373.464087 33.451212 \nL 373.756359 258.871401 \nL 373.821309 223.478325 \nL 374.081106 23.180708 \nL 374.113581 36.939688 \nL 374.373378 258.531059 \nL 374.438328 241.608735 \nL 374.698125 21.632097 \nL 374.763074 44.807086 \nL 375.022872 261.216 \nL 375.087821 230.982726 \nL 375.347619 20.789039 \nL 375.380093 33.520925 \nL 375.639891 260.58082 \nL 375.70484 241.686099 \nL 375.964637 19.296 \nL 376.029587 48.938571 \nL 376.19196 210.859168 \nL 376.19196 210.859168 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 35.304688 273.312 \nL 35.304688 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 392.424688 273.312 \nL 392.424688 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 35.304688 273.312 \nL 392.424688 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 35.304688 7.2 \nL 392.424688 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe2998799f4\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"35.304688\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
+    "\n",
+    "# 2D plot\n",
+    "plt.plot(results_test_np[:,2], results_test_np[:,0])\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.io\n",
+    "\n",
+    "scipy.io.savemat(\"Duffing_fitRandomSample.mat\", {\"x\": results_test_np})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Mean Squared Error Loss"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs=ode_coeffs,\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")\n",
+    "\n",
+    "result_train = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ode_solver = ODESolver(\n",
+    "    ode=ode,\n",
+    "    init_vars=ode_init,\n",
+    "    init_coeffs={'a': -0.5913,\n",
+    "                'b': 0.2579,\n",
+    "                'd': -0.1300,\n",
+    "                'g': 0.4061,\n",
+    "                'w': 1.1630},\n",
+    "    dt=dt,\n",
+    "    solver=\"rk4\",\n",
+    "    optimizer=None\n",
+    ")\n",
+    "\n",
+    "result_test = ode_solver(1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "tensor(1.2754, grad_fn=<MseLossBackward>)"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "loss = torch.nn.MSELoss()\n",
+    "loss(result_train,result_test)"
+   ]
+  }
+ ],
+ "metadata": {
+  "interpreter": {
+   "hash": "ff850aa56af9adbd63a8c19b31d292a54ba02470d4346286a8590995083eda9d"
+  },
+  "kernelspec": {
+   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/torchts/nn/models/hybridode.py b/torchts/nn/models/hybridode.py
new file mode 100644
index 00000000..97ffc5d5
--- /dev/null
+++ b/torchts/nn/models/hybridode.py
@@ -0,0 +1,71 @@
+import torch
+from torch import nn
+
+from torchts.nn.models.ode import ODESolver
+
+
+class HybridODENet(ODESolver):
+    def __init__(
+        self, ode, dnns, init_vars, init_coeffs, dt, solver="euler", outvar=None, **kwargs
+    ):
+        super().__init__(ode, init_vars, init_coeffs, dt, solver, outvar, **kwargs)
+
+        if ode.keys() != init_vars.keys():
+            raise ValueError("Inconsistent keys in ode and init_vars")
+
+        if solver == "euler":
+            self.step_solver = self.euler_step
+        elif solver == "rk4":
+            self.step_solver = self.runge_kutta_4_step
+        else:
+            raise ValueError(f"Unrecognized solver {solver}")
+
+        for name, value in init_coeffs.items():
+            self.register_parameter(name, nn.Parameter(torch.tensor(value)))
+
+        self.ode = ode
+        self.dnns = dnns
+        self.var_names = ode.keys()
+        self.init_vars = {
+            name: torch.tensor(value, device=self.device)
+            for name, value in init_vars.items()
+        }
+        self.coeffs = {name: param for name, param in self.named_parameters()}
+        self.outvar = self.var_names if outvar is None else outvar
+        self.dt = dt
+
+    def euler_step(self, prev_val):
+        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
+        for var in self.var_names:
+            pred[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnns) * self.dt
+        return pred
+
+    def runge_kutta_4_step(self, prev_val):
+        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
+
+        k_1 = prev_val
+        k_2 = {}
+        k_3 = {}
+        k_4 = {}
+
+        for var in self.var_names:
+            k_2[var] = (
+                prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnns) * 0.5 * self.dt
+            )
+
+        for var in self.var_names:
+            k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs, self.dnns) * 0.5 * self.dt
+
+        for var in self.var_names:
+            k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs, self.dnns) * self.dt
+
+        for var in self.var_names:
+            result = self.ode[var](k_1, self.coeffs, self.dnns) / 6
+            result += self.ode[var](k_2, self.coeffs, self.dnns) / 3
+            result += self.ode[var](k_3, self.coeffs, self.dnns) / 3
+            result += self.ode[var](k_4, self.coeffs, self.dnns) / 6
+            pred[var] = prev_val[var] + result * self.dt
+
+        return pred
+
+

From 54397d1baf16e732362907931c46e8a37215a101 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Sun, 19 Dec 2021 18:26:33 +0000
Subject: [PATCH 57/73] Add pre-commit fixes

---
 torchts/nn/models/hybridode.py | 29 ++++++++++++++++++++++-------
 1 file changed, 22 insertions(+), 7 deletions(-)

diff --git a/torchts/nn/models/hybridode.py b/torchts/nn/models/hybridode.py
index 97ffc5d5..380110f5 100644
--- a/torchts/nn/models/hybridode.py
+++ b/torchts/nn/models/hybridode.py
@@ -6,7 +6,15 @@
 
 class HybridODENet(ODESolver):
     def __init__(
-        self, ode, dnns, init_vars, init_coeffs, dt, solver="euler", outvar=None, **kwargs
+        self,
+        ode,
+        dnns,
+        init_vars,
+        init_coeffs,
+        dt,
+        solver="euler",
+        outvar=None,
+        **kwargs,
     ):
         super().__init__(ode, init_vars, init_coeffs, dt, solver, outvar, **kwargs)
 
@@ -37,7 +45,10 @@ def __init__(
     def euler_step(self, prev_val):
         pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
         for var in self.var_names:
-            pred[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnns) * self.dt
+            pred[var] = (
+                prev_val[var]
+                + self.ode[var](prev_val, self.coeffs, self.dnns) * self.dt
+            )
         return pred
 
     def runge_kutta_4_step(self, prev_val):
@@ -50,14 +61,20 @@ def runge_kutta_4_step(self, prev_val):
 
         for var in self.var_names:
             k_2[var] = (
-                prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnns) * 0.5 * self.dt
+                prev_val[var]
+                + self.ode[var](prev_val, self.coeffs, self.dnns) * 0.5 * self.dt
             )
 
         for var in self.var_names:
-            k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs, self.dnns) * 0.5 * self.dt
+            k_3[var] = (
+                prev_val[var]
+                + self.ode[var](k_2, self.coeffs, self.dnns) * 0.5 * self.dt
+            )
 
         for var in self.var_names:
-            k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs, self.dnns) * self.dt
+            k_4[var] = (
+                prev_val[var] + self.ode[var](k_3, self.coeffs, self.dnns) * self.dt
+            )
 
         for var in self.var_names:
             result = self.ode[var](k_1, self.coeffs, self.dnns) / 6
@@ -67,5 +84,3 @@ def runge_kutta_4_step(self, prev_val):
             pred[var] = prev_val[var] + result * self.dt
 
         return pred
-
-

From 929c39b3813333726fe4d788f8fc631f8aa09ced Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Sun, 19 Dec 2021 13:28:29 -0500
Subject: [PATCH 58/73] Fixed linting issues

---
 torchts/nn/models/ode.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 0ac0cfc4..1df70da3 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -48,9 +48,7 @@ def runge_kutta_4_step(self, prev_val):
         k_4 = {}
 
         for var in self.var_names:
-            k_2[var] = (
-                prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
-            )
+            k_2[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
 
         for var in self.var_names:
             k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt

From b79cc17e01ac366dc3ca657e7d3035c6027ae3da Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Sun, 19 Dec 2021 18:28:39 +0000
Subject: [PATCH 59/73] Add pre-commit fixes

---
 torchts/nn/models/ode.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 1df70da3..0ac0cfc4 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -48,7 +48,9 @@ def runge_kutta_4_step(self, prev_val):
         k_4 = {}
 
         for var in self.var_names:
-            k_2[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
+            k_2[var] = (
+                prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
+            )
 
         for var in self.var_names:
             k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt

From 4f13764b7244ef0c811371cf2c9c0d07ceb89b20 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Sun, 19 Dec 2021 13:30:57 -0500
Subject: [PATCH 60/73] Fixed linting issues

---
 torchts/nn/models/hybridode.py | 9 +++------
 1 file changed, 3 insertions(+), 6 deletions(-)

diff --git a/torchts/nn/models/hybridode.py b/torchts/nn/models/hybridode.py
index 380110f5..2dab7323 100644
--- a/torchts/nn/models/hybridode.py
+++ b/torchts/nn/models/hybridode.py
@@ -46,8 +46,7 @@ def euler_step(self, prev_val):
         pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
         for var in self.var_names:
             pred[var] = (
-                prev_val[var]
-                + self.ode[var](prev_val, self.coeffs, self.dnns) * self.dt
+                prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnns) * self.dt
             )
         return pred
 
@@ -61,14 +60,12 @@ def runge_kutta_4_step(self, prev_val):
 
         for var in self.var_names:
             k_2[var] = (
-                prev_val[var]
-                + self.ode[var](prev_val, self.coeffs, self.dnns) * 0.5 * self.dt
+                prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnns) * 0.5 * self.dt
             )
 
         for var in self.var_names:
             k_3[var] = (
-                prev_val[var]
-                + self.ode[var](k_2, self.coeffs, self.dnns) * 0.5 * self.dt
+                prev_val[var] + self.ode[var](k_2, self.coeffs, self.dnns) * 0.5 * self.dt
             )
 
         for var in self.var_names:

From 3fd8444e81faeb0ef4eb9ee00f6438004b91da96 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Sun, 19 Dec 2021 18:31:06 +0000
Subject: [PATCH 61/73] Add pre-commit fixes

---
 torchts/nn/models/hybridode.py | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/torchts/nn/models/hybridode.py b/torchts/nn/models/hybridode.py
index 2dab7323..380110f5 100644
--- a/torchts/nn/models/hybridode.py
+++ b/torchts/nn/models/hybridode.py
@@ -46,7 +46,8 @@ def euler_step(self, prev_val):
         pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
         for var in self.var_names:
             pred[var] = (
-                prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnns) * self.dt
+                prev_val[var]
+                + self.ode[var](prev_val, self.coeffs, self.dnns) * self.dt
             )
         return pred
 
@@ -60,12 +61,14 @@ def runge_kutta_4_step(self, prev_val):
 
         for var in self.var_names:
             k_2[var] = (
-                prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnns) * 0.5 * self.dt
+                prev_val[var]
+                + self.ode[var](prev_val, self.coeffs, self.dnns) * 0.5 * self.dt
             )
 
         for var in self.var_names:
             k_3[var] = (
-                prev_val[var] + self.ode[var](k_2, self.coeffs, self.dnns) * 0.5 * self.dt
+                prev_val[var]
+                + self.ode[var](k_2, self.coeffs, self.dnns) * 0.5 * self.dt
             )
 
         for var in self.var_names:

From cccfa5a1f7d906c94e73bd9e8c7a19d425baa0ce Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Sun, 19 Dec 2021 13:33:27 -0500
Subject: [PATCH 62/73] Fixed linting issues

---
 torchts/nn/models/hybridode.py | 17 ++++++-----------
 1 file changed, 6 insertions(+), 11 deletions(-)

diff --git a/torchts/nn/models/hybridode.py b/torchts/nn/models/hybridode.py
index 380110f5..2b4115cb 100644
--- a/torchts/nn/models/hybridode.py
+++ b/torchts/nn/models/hybridode.py
@@ -60,21 +60,16 @@ def runge_kutta_4_step(self, prev_val):
         k_4 = {}
 
         for var in self.var_names:
-            k_2[var] = (
-                prev_val[var]
-                + self.ode[var](prev_val, self.coeffs, self.dnns) * 0.5 * self.dt
-            )
+            k_2[var] = prev_val[var]
+            k_2[var] += self.ode[var](prev_val, self.coeffs, self.dnns) * 0.5 * self.dt
 
         for var in self.var_names:
-            k_3[var] = (
-                prev_val[var]
-                + self.ode[var](k_2, self.coeffs, self.dnns) * 0.5 * self.dt
-            )
+            k_3[var] = prev_val[var]
+            k_3[var] += self.ode[var](k_2, self.coeffs, self.dnns) * 0.5 * self.dt
 
         for var in self.var_names:
-            k_4[var] = (
-                prev_val[var] + self.ode[var](k_3, self.coeffs, self.dnns) * self.dt
-            )
+            k_4[var] = prev_val[var]
+            k_4[var] += self.ode[var](k_3, self.coeffs, self.dnns) * self.dt
 
         for var in self.var_names:
             result = self.ode[var](k_1, self.coeffs, self.dnns) / 6

From 1d1cdf8de04e2ef47cc2932667444e13dfe06e38 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Sun, 19 Dec 2021 13:34:43 -0500
Subject: [PATCH 63/73] Fixed linting issues

---
 torchts/nn/models/hybridode.py | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/torchts/nn/models/hybridode.py b/torchts/nn/models/hybridode.py
index 2b4115cb..3b2fd2e9 100644
--- a/torchts/nn/models/hybridode.py
+++ b/torchts/nn/models/hybridode.py
@@ -45,10 +45,8 @@ def __init__(
     def euler_step(self, prev_val):
         pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
         for var in self.var_names:
-            pred[var] = (
-                prev_val[var]
-                + self.ode[var](prev_val, self.coeffs, self.dnns) * self.dt
-            )
+            pred[var] = prev_val[var]
+            pred[var] += self.ode[var](prev_val, self.coeffs, self.dnns) * self.dt
         return pred
 
     def runge_kutta_4_step(self, prev_val):

From 581efa0e751c1406835634d8add25d407671b2ee Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Sun, 19 Dec 2021 20:50:46 -0500
Subject: [PATCH 64/73] Changed ODESolver back to klane's model

---
 torchts/nn/models/ode.py | 65 ++++++----------------------------------
 1 file changed, 9 insertions(+), 56 deletions(-)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 0ac0cfc4..b64eb500 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -14,9 +14,7 @@ def __init__(
             raise ValueError("Inconsistent keys in ode and init_vars")
 
         if solver == "euler":
-            self.step_solver = self.euler_step
-        elif solver == "rk4":
-            self.step_solver = self.runge_kutta_4_step
+            self.solver = self.euler
         else:
             raise ValueError(f"Unrecognized solver {solver}")
 
@@ -33,51 +31,16 @@ def __init__(
         self.outvar = self.var_names if outvar is None else outvar
         self.dt = dt
 
-    def euler_step(self, prev_val):
+    def euler(self, nt):
         pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
-        for var in self.var_names:
-            pred[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs) * self.dt
-        return pred
-
-    def runge_kutta_4_step(self, prev_val):
-        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
-
-        k_1 = prev_val
-        k_2 = {}
-        k_3 = {}
-        k_4 = {}
-
-        for var in self.var_names:
-            k_2[var] = (
-                prev_val[var] + self.ode[var](prev_val, self.coeffs) * 0.5 * self.dt
-            )
-
-        for var in self.var_names:
-            k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt
-
-        for var in self.var_names:
-            k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs) * self.dt
-
-        for var in self.var_names:
-            result = self.ode[var](k_1, self.coeffs) / 6
-            result += self.ode[var](k_2, self.coeffs) / 3
-            result += self.ode[var](k_3, self.coeffs) / 3
-            result += self.ode[var](k_4, self.coeffs) / 6
-            pred[var] = prev_val[var] + result * self.dt
-
-        return pred
-
-    def solver(self, nt, initial=None):
-        if initial is None:
-            initial = self.init_vars
-        pred = {name: value.unsqueeze(0) for name, value in initial.items()}
 
         for n in range(nt - 1):
             # create dictionary containing values from previous time step
             prev_val = {var: pred[var][[n]] for var in self.var_names}
-            new_val = self.step_solver(prev_val)
+
             for var in self.var_names:
-                pred[var] = torch.cat([pred[var], new_val[var]])
+                new_val = prev_val[var] + self.ode[var](prev_val, self.coeffs) * self.dt
+                pred[var] = torch.cat([pred[var], new_val])
 
         # reformat output to contain desired (observed) variables
         return torch.stack([pred[var] for var in self.outvar], dim=1)
@@ -89,17 +52,7 @@ def get_coeffs(self):
         return {name: param.item() for name, param in self.named_parameters()}
 
     def _step(self, batch, batch_idx, num_batches):
-        x, y = self.prepare_batch(batch)
-        nt = y.shape[1]
-
-        init_point = {var: x[0, i] for i, var in enumerate(self.var_names)}
-        pred = self.solver(nt, init_point)
-
-        # TODO: Account for batch size > 1
-        pred = pred.view(1, pred.shape[0], pred.shape[1])
-
-        if self.criterion_args is not None:
-            loss = self.criterion(pred, y, **self.criterion_args)
-        else:
-            loss = self.criterion(pred, y)
-        return loss
+        (x,) = batch
+        nt = x.shape[0]
+        pred = self(nt)
+        return self.criterion(pred, x)
\ No newline at end of file

From 499663ed5532999c3f4d350a2772ce1d6c4a2d62 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 20 Dec 2021 01:50:56 +0000
Subject: [PATCH 65/73] Add pre-commit fixes

---
 torchts/nn/models/ode.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index b64eb500..76933707 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -55,4 +55,4 @@ def _step(self, batch, batch_idx, num_batches):
         (x,) = batch
         nt = x.shape[0]
         pred = self(nt)
-        return self.criterion(pred, x)
\ No newline at end of file
+        return self.criterion(pred, x)

From a3d95e9c7b51c9bab75f735f202d43ddd21b71b7 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Sun, 19 Dec 2021 20:51:37 -0500
Subject: [PATCH 66/73] Removed Lorenz63 and SEIR tests

---
 examples/ode/SEIR/SEIRTest.ipynb         | 511 -----------------------
 examples/ode/lorenz63/Lorenz63Test.ipynb | 425 -------------------
 2 files changed, 936 deletions(-)
 delete mode 100644 examples/ode/SEIR/SEIRTest.ipynb
 delete mode 100644 examples/ode/lorenz63/Lorenz63Test.ipynb

diff --git a/examples/ode/SEIR/SEIRTest.ipynb b/examples/ode/SEIR/SEIRTest.ipynb
deleted file mode 100644
index 3a2a1998..00000000
--- a/examples/ode/SEIR/SEIRTest.ipynb
+++ /dev/null
@@ -1,511 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "from torchts.utils.data import generate_ode_dataset\n",
-    "\n",
-    "import matplotlib.pyplot as plt"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Rossler Attractor equations\n",
-    "dt = 0.01\n",
-    "\n",
-    "def s_prime(prev_val, coeffs):\n",
-    "    return - coeffs[\"g1\"]*prev_val[\"s\"]*prev_val[\"i\"]\n",
-    "\n",
-    "def e_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"g1\"]*prev_val[\"s\"]*prev_val[\"i\"] - coeffs[\"g2\"]*prev_val[\"e\"]\n",
-    "\n",
-    "def i_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"g2\"]*prev_val[\"e\"] - coeffs[\"a\"]*prev_val[\"i\"]\n",
-    "\n",
-    "def r_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"a\"]*prev_val[\"i\"]\n",
-    "\n",
-    "ode = {\"s\": s_prime, \"e\": e_prime, \"i\": i_prime, \"r\": r_prime}\n",
-    "\n",
-    "# Initial conditions [0,0,0]\n",
-    "ode_init = {\"s\": 0.1, \"e\": 0.9, \"i\": 0, \"r\": 0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"a\": 0.1, \"g1\": 0.3, \"g2\": 0.2}\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=torch.optim.SGD,\n",
-    "    optimizer_args={\"lr\": 0.01}\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9820e-01, 1.7973e-03, 8.9910e-07],\n",
-       "        [9.9999e-02, 8.9641e-01, 3.5892e-03, 3.5928e-06],\n",
-       "        ...,\n",
-       "        [3.3031e-02, 1.5079e-01, 4.4694e-01, 3.6924e-01],\n",
-       "        [3.2987e-02, 1.5053e-01, 4.4679e-01, 3.6969e-01],\n",
-       "        [3.2943e-02, 1.5028e-01, 4.4664e-01, 3.7014e-01]],\n",
-       "       grad_fn=<StackBackward>)"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "x_train, y_train = generate_ode_dataset(result, num_steps=5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plots\n",
-    "plt.plot(result_np[:,0])\n",
-    "plt.plot(result_np[:,1])\n",
-    "plt.plot(result_np[:,2])\n",
-    "plt.plot(result_np[:,3])\n",
-    "\n",
-    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Runge-Kutta method for training"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_train_coeffs = {\"a\": 0., \"g1\": 0., \"g2\": 0.}\n",
-    "\n",
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=dt,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=torch.optim.Adam\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "results_test = ode_solver(1000)\n",
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plots\n",
-    "plt.plot(results_test_np[:,0])\n",
-    "plt.plot(results_test_np[:,1])\n",
-    "plt.plot(results_test_np[:,2])\n",
-    "plt.plot(results_test_np[:,3])\n",
-    "\n",
-    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "GPU available: False, used: False\n",
-      "TPU available: False, using: 0 TPU cores\n",
-      "IPU available: False, using: 0 IPUs\n",
-      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/configuration_validator.py:101: UserWarning: you defined a validation_step but have no val_dataloader. Skipping val loop\n",
-      "  rank_zero_warn(f\"you defined a {step_name} but have no {loader_name}. Skipping {stage} loop\")\n",
-      "\n",
-      "  | Name | Type | Params\n",
-      "------------------------------\n",
-      "------------------------------\n",
-      "3         Trainable params\n",
-      "0         Non-trainable params\n",
-      "3         Total params\n",
-      "0.000     Total estimated model params size (MB)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                                           "
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/data_loading.py:105: UserWarning: The dataloader, train dataloader, does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` (try 4 which is the number of cpus on this machine) in the `DataLoader` init to improve performance.\n",
-      "  rank_zero_warn(\n",
-      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/data_loading.py:322: UserWarning: The number of training samples (8) is smaller than the logging interval Trainer(log_every_n_steps=50). Set a lower value for log_every_n_steps if you want to see logs for the training epoch.\n",
-      "  rank_zero_warn(\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 0:   0%|          | 0/8 [00:00<00:00, 210.98it/s]   "
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:219: UserWarning: Using a target size (torch.Size([128, 5, 4])) that is different to the input size (torch.Size([5, 4])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size.\n",
-      "  return self.criterion(pred, y)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 0:  12%|█▎        | 1/8 [00:03<00:11,  1.71s/it, loss=0.0319, v_num=14, train_loss_step=0.0319]"
-     ]
-    },
-    {
-     "ename": "RuntimeError",
-     "evalue": "Trying to backward through the graph a second time, but the saved intermediate results have already been freed. Specify retain_graph=True when calling backward the first time.",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-10-721dd271fa9d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;31m# )\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m ode_solver.fit(\n\u001b[0m\u001b[1;32m      8\u001b[0m     \u001b[0mx_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m )\n",
-      "\u001b[0;32m~/Documents/GitHub/torchTS/torchts/nn/model.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, x, y, max_epochs, batch_size)\u001b[0m\n\u001b[1;32m     57\u001b[0m         \u001b[0mloader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDataLoader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshuffle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     58\u001b[0m         \u001b[0mtrainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTrainer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax_epochs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmax_epochs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 59\u001b[0;31m         \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mloader\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     60\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     61\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mprepare_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, model, train_dataloaders, val_dataloaders, datamodule, train_dataloader)\u001b[0m\n\u001b[1;32m    551\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcheckpoint_connector\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresume_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    552\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 553\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    554\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    555\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstopped\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, model)\u001b[0m\n\u001b[1;32m    916\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    917\u001b[0m         \u001b[0;31m# dispatch `start_training` or `start_evaluating` or `start_predicting`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 918\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    919\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    920\u001b[0m         \u001b[0;31m# plugin will finalized fitting (e.g. ddp_spawn will load trained model)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_dispatch\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    984\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_predicting\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    985\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 986\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    987\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    988\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mrun_stage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36mstart_training\u001b[0;34m(self, trainer)\u001b[0m\n\u001b[1;32m     90\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     91\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 92\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     93\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     94\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_evaluating\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py\u001b[0m in \u001b[0;36mstart_training\u001b[0;34m(self, trainer)\u001b[0m\n\u001b[1;32m    159\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    160\u001b[0m         \u001b[0;31m# double dispatch to initiate the training loop\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 161\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_results\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_stage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    162\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_evaluating\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mrun_stage\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    994\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredicting\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    995\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_predict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 996\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_train\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    997\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    998\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_pre_training_routine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_run_train\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1043\u001b[0m             \u001b[0;31m# reset trainer on this loop and all child loops in case user connected a custom loop\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1044\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1045\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1046\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1047\u001b[0m             \u001b[0mrank_zero_warn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Detected KeyboardInterrupt, attempting graceful shutdown...\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    109\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 111\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    112\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    113\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/fit_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    198\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"run_training_epoch\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    199\u001b[0m             \u001b[0;31m# run train epoch\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 200\u001b[0;31m             \u001b[0mepoch_output\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mepoch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrain_dataloader\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    201\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    202\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mepoch_output\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    109\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 111\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    112\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    113\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/epoch/training_epoch_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, dataloader_iter, **kwargs)\u001b[0m\n\u001b[1;32m    128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"run_training_batch\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m             \u001b[0mbatch_output\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dataloader_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    131\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatches_seen\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, batch, batch_idx, dataloader_idx)\u001b[0m\n\u001b[1;32m     99\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mepoch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_progress\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mincrement_started\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    100\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 101\u001b[0;31m         \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdataloader_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    102\u001b[0m         \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAttributeDict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msignal\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtraining_step_output\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_outputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    103\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_outputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m  \u001b[0;31m# free memory\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    109\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 111\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    112\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    113\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miteration_count\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, batch, batch_idx, dataloader_idx)\u001b[0m\n\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptim_progress\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_idx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 148\u001b[0;31m                 \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_optimization\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    149\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    150\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_outputs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mopt_idx\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_step_output\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36m_run_optimization\u001b[0;34m(self, batch_idx, split_batch, opt_idx, optimizer)\u001b[0m\n\u001b[1;32m    200\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    201\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautomatic_optimization\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 202\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    203\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    204\u001b[0m                 \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_training_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_hiddens\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36m_optimizer_step\u001b[0;34m(self, optimizer, opt_idx, batch_idx, train_step_and_backward_closure)\u001b[0m\n\u001b[1;32m    394\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    395\u001b[0m         \u001b[0;31m# model hook\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 396\u001b[0;31m         model_ref.optimizer_step(\n\u001b[0m\u001b[1;32m    397\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcurrent_epoch\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    398\u001b[0m             \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/lightning.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, epoch, batch_idx, optimizer, optimizer_idx, optimizer_closure, on_tpu, using_native_amp, using_lbfgs)\u001b[0m\n\u001b[1;32m   1616\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1617\u001b[0m         \"\"\"\n\u001b[0;32m-> 1618\u001b[0;31m         \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moptimizer_closure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1619\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1620\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_zero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepoch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/optimizer.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self, closure, *args, **kwargs)\u001b[0m\n\u001b[1;32m    207\u001b[0m             \u001b[0mprofiler_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34mf\"optimizer_step_and_closure_{self._optimizer_idx}\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    208\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 209\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprofiler_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mprofiler_name\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    210\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_total_optimizer_step_calls\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    211\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/optimizer.py\u001b[0m in \u001b[0;36m__optimizer_step\u001b[0;34m(self, closure, profiler_name, **kwargs)\u001b[0m\n\u001b[1;32m    127\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    128\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprofiler_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 129\u001b[0;31m             \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    130\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    131\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mCallable\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, optimizer, opt_idx, lambda_closure, **kwargs)\u001b[0m\n\u001b[1;32m    294\u001b[0m         )\n\u001b[1;32m    295\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmake_optimizer_step\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 296\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    297\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpost_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    298\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpost_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36mrun_optimizer_step\u001b[0;34m(self, optimizer, optimizer_idx, lambda_closure, **kwargs)\u001b[0m\n\u001b[1;32m    301\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mCallable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    302\u001b[0m     ) -> None:\n\u001b[0;32m--> 303\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlambda_closure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    304\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    305\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_zero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcurrent_epoch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, optimizer, lambda_closure, **kwargs)\u001b[0m\n\u001b[1;32m    224\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    225\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlambda_closure\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mCallable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 226\u001b[0;31m         \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlambda_closure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    227\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    228\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mproperty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/autograd/grad_mode.py\u001b[0m in \u001b[0;36mdecorate_context\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     24\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mdecorate_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     25\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 26\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     27\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mcast\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mF\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdecorate_context\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/optim/adam.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self, closure)\u001b[0m\n\u001b[1;32m     64\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mclosure\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     65\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menable_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 66\u001b[0;31m                 \u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     67\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     68\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mgroup\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparam_groups\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36m_training_step_and_backward_closure\u001b[0;34m(self, split_batch, batch_idx, opt_idx, optimizer, hiddens, return_result)\u001b[0m\n\u001b[1;32m    234\u001b[0m         \"\"\"\n\u001b[1;32m    235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 236\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_step_and_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhiddens\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    237\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    238\u001b[0m             \u001b[0mreturn_result\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36mtraining_step_and_backward\u001b[0;34m(self, split_batch, batch_idx, opt_idx, optimizer, hiddens)\u001b[0m\n\u001b[1;32m    547\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    548\u001b[0m                     \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"backward\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 549\u001b[0;31m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    550\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    551\u001b[0m                     \u001b[0;31m# when in dev debugging track the losses\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, result, optimizer, *args, **kwargs)\u001b[0m\n\u001b[1;32m    588\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    589\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 590\u001b[0;31m             \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    591\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    592\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshould_accumulate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, closure_loss, *args, **kwargs)\u001b[0m\n\u001b[1;32m    274\u001b[0m         \u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpre_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    275\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 276\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    277\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    278\u001b[0m         \u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpost_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/precision_plugin.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, model, closure_loss, optimizer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     76\u001b[0m         \u001b[0;31m# do backward pass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     77\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLightningModule\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 78\u001b[0;31m             \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     79\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     80\u001b[0m             \u001b[0mclosure_loss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/lightning.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, loss, optimizer, optimizer_idx, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1479\u001b[0m                 \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1480\u001b[0m         \"\"\"\n\u001b[0;32m-> 1481\u001b[0;31m         \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1482\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1483\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtoggle_optimizer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/tensor.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, gradient, retain_graph, create_graph)\u001b[0m\n\u001b[1;32m    219\u001b[0m                 \u001b[0mretain_graph\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    220\u001b[0m                 create_graph=create_graph)\n\u001b[0;32m--> 221\u001b[0;31m         \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautograd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgradient\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    222\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    223\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mregister_hook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/autograd/__init__.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(tensors, grad_tensors, retain_graph, create_graph, grad_variables)\u001b[0m\n\u001b[1;32m    128\u001b[0m         \u001b[0mretain_graph\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m     Variable._execution_engine.run_backward(\n\u001b[0m\u001b[1;32m    131\u001b[0m         \u001b[0mtensors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgrad_tensors_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m         allow_unreachable=True)  # allow_unreachable flag\n",
-      "\u001b[0;31mRuntimeError\u001b[0m: Trying to backward through the graph a second time, but the saved intermediate results have already been freed. Specify retain_graph=True when calling backward the first time."
-     ]
-    }
-   ],
-   "source": [
-    "# ode_solver.fit(\n",
-    "#     result,torch.optim.Adam,\n",
-    "#     {\"lr\": 0.01},\n",
-    "#     max_epochs=20\n",
-    "# )\n",
-    "\n",
-    "ode_solver.fit(\n",
-    "    x_train, y_train\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'a': 0.09994731843471527, 'g1': 0.2934265434741974, 'g2': 0.1998223513364792}"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ode_solver.get_coeffs()\n",
-    "\n",
-    "# Coefficients differ by at most 0.01"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Predictions for nt = 10000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor([[1.0000e-01, 9.0000e-01, 0.0000e+00, 0.0000e+00],\n",
-       "        [1.0000e-01, 8.9820e-01, 1.7957e-03, 8.9783e-07],\n",
-       "        [9.9999e-02, 8.9641e-01, 3.5860e-03, 3.5877e-06],\n",
-       "        ...,\n",
-       "        [5.3956e-03, 1.9795e-06, 1.2833e-04, 9.9447e-01],\n",
-       "        [5.3956e-03, 1.9776e-06, 1.2821e-04, 9.9447e-01],\n",
-       "        [5.3956e-03, 1.9757e-06, 1.2808e-04, 9.9447e-01]],\n",
-       "       grad_fn=<StackBackward>)"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "results_test = ode_solver(10000)\n",
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg height=\"297.190125pt\" version=\"1.1\" viewBox=\"0 0 394.423125 297.190125\" width=\"394.423125pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-23T17:56:22.458814</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 297.190125 \nL 394.423125 297.190125 \nL 394.423125 0 \nL 0 0 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \nL 387.223125 7.2 \nL 30.103125 7.2 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m650a115eec\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.335852\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(43.154602 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"111.273255\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2000 -->\n      <g transform=\"translate(98.548255 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"176.210658\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 4000 -->\n      <g transform=\"translate(163.485658 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"241.148061\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 6000 -->\n      <g transform=\"translate(228.423061 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_5\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"306.085464\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8000 -->\n      <g transform=\"translate(293.360464 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"371.022866\" xlink:href=\"#m650a115eec\" y=\"273.312\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 10000 -->\n      <g transform=\"translate(355.116616 287.910437)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"254.492188\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m1d2143570a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"261.216\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 0.0 -->\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"212.56315\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0.2 -->\n      <g transform=\"translate(7.2 216.362369)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"163.9103\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.4 -->\n      <g transform=\"translate(7.2 167.709518)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"115.25745\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.6 -->\n      <g transform=\"translate(7.2 119.056668)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"66.604599\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.8 -->\n      <g transform=\"translate(7.2 70.403818)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"30.103125\" xlink:href=\"#m1d2143570a\" y=\"17.951749\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 1.0 -->\n      <g transform=\"translate(7.2 21.750968)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_13\">\n    <path clip-path=\"url(#p5a52821395)\" d=\"M 46.335852 236.889575 \nL 47.732006 237.003025 \nL 49.225567 237.350773 \nL 50.913939 237.975813 \nL 52.926999 238.966432 \nL 55.556963 240.525482 \nL 60.687018 243.893668 \nL 65.39498 246.857484 \nL 69.031475 248.883881 \nL 72.505626 250.566339 \nL 76.012245 252.017234 \nL 79.681209 253.292518 \nL 83.609921 254.419064 \nL 87.89579 255.413086 \nL 92.701158 256.293914 \nL 98.188368 257.067111 \nL 104.584703 257.737787 \nL 112.312254 258.31631 \nL 121.922989 258.803076 \nL 134.390971 259.200593 \nL 151.534445 259.510179 \nL 177.087313 259.730109 \nL 221.212278 259.858967 \nL 335.112483 259.90247 \nL 370.990398 259.903447 \nL 370.990398 259.903447 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_14\">\n    <path clip-path=\"url(#p5a52821395)\" d=\"M 46.335852 42.27818 \nL 48.1541 65.273772 \nL 49.972347 85.522183 \nL 51.823063 103.682437 \nL 53.673779 119.704191 \nL 55.556963 134.112421 \nL 57.472617 147.078389 \nL 59.420739 158.756974 \nL 61.40133 169.286033 \nL 63.414389 178.7871 \nL 65.427449 187.238281 \nL 67.472977 194.889225 \nL 69.550974 201.81652 \nL 71.661439 208.087446 \nL 73.804374 213.761508 \nL 75.947308 218.819329 \nL 78.122711 223.396461 \nL 80.330583 227.533318 \nL 82.570923 231.266757 \nL 84.843732 234.630657 \nL 87.181479 237.696349 \nL 89.551694 240.443426 \nL 91.986846 242.931379 \nL 94.519405 245.202402 \nL 97.14937 247.26147 \nL 99.876741 249.11594 \nL 102.766455 250.810482 \nL 105.818513 252.340555 \nL 109.065383 253.718885 \nL 112.572003 254.964274 \nL 116.40331 256.085256 \nL 120.624241 257.083834 \nL 125.332203 257.964233 \nL 130.65707 258.729474 \nL 136.826123 259.386304 \nL 144.16405 259.937259 \nL 153.222817 260.385071 \nL 164.976487 260.731127 \nL 181.503056 260.978698 \nL 208.387141 261.133516 \nL 268.097083 261.205027 \nL 370.990398 261.215519 \nL 370.990398 261.215519 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_15\">\n    <path clip-path=\"url(#p5a52821395)\" d=\"M 46.335852 261.216 \nL 47.926819 241.290474 \nL 49.485316 224.47411 \nL 51.043814 210.023759 \nL 52.569843 197.905818 \nL 54.063403 187.773174 \nL 55.524495 179.332411 \nL 56.953118 172.334873 \nL 58.349272 166.569481 \nL 59.712957 161.856549 \nL 61.044174 158.042749 \nL 62.310453 155.065458 \nL 63.544264 152.716183 \nL 64.713137 150.946432 \nL 65.849542 149.61289 \nL 66.953478 148.650879 \nL 68.024945 148.004455 \nL 69.096412 147.616936 \nL 70.167879 147.466212 \nL 71.271815 147.536963 \nL 72.440688 147.8391 \nL 73.706968 148.404269 \nL 75.103122 149.28316 \nL 76.629151 150.513515 \nL 78.349992 152.192339 \nL 80.330583 154.445647 \nL 82.63586 157.417719 \nL 85.428169 161.399606 \nL 88.999726 166.905787 \nL 94.714217 176.185306 \nL 103.188548 189.887655 \nL 108.058854 197.323758 \nL 112.377191 203.519862 \nL 116.435779 208.961153 \nL 120.364492 213.859236 \nL 124.195798 218.283265 \nL 127.994636 222.331224 \nL 131.761006 226.022223 \nL 135.527375 229.406201 \nL 139.358682 232.55035 \nL 143.222457 235.435349 \nL 147.183639 238.115782 \nL 151.242227 240.593126 \nL 155.430689 242.887989 \nL 159.749026 245.000612 \nL 164.262176 246.960201 \nL 169.002606 248.773619 \nL 173.970318 250.434915 \nL 179.262716 251.968125 \nL 184.91227 253.370483 \nL 190.983917 254.645952 \nL 197.575063 255.800589 \nL 204.815584 256.839417 \nL 212.835353 257.761407 \nL 221.861652 258.570682 \nL 232.186699 259.267984 \nL 244.297525 259.856328 \nL 258.90844 260.335468 \nL 277.350663 260.707517 \nL 302.286626 260.97416 \nL 340.534756 261.138706 \nL 370.990398 261.184842 \nL 370.990398 261.184842 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"line2d_16\">\n    <path clip-path=\"url(#p5a52821395)\" d=\"M 46.335852 261.216 \nL 47.082632 261.102966 \nL 47.861881 260.755073 \nL 48.738536 260.103325 \nL 49.712597 259.081702 \nL 50.816533 257.579742 \nL 52.082812 255.453581 \nL 53.511435 252.599773 \nL 55.167339 248.773351 \nL 57.115461 243.678565 \nL 59.420739 236.991772 \nL 62.245516 228.080383 \nL 66.044354 215.301805 \nL 82.376111 159.48409 \nL 86.532105 146.535499 \nL 90.363411 135.311428 \nL 93.999906 125.329022 \nL 97.538994 116.25421 \nL 100.980677 108.032442 \nL 104.357422 100.532555 \nL 107.701698 93.640727 \nL 111.013505 87.320462 \nL 114.292844 81.533814 \nL 117.572183 76.191842 \nL 120.851522 71.268998 \nL 124.16333 66.696626 \nL 127.475137 62.499201 \nL 130.819413 58.614824 \nL 134.228627 54.994761 \nL 137.670309 51.66188 \nL 141.176929 48.572027 \nL 144.780955 45.69155 \nL 148.482387 43.017649 \nL 152.313694 40.526024 \nL 156.242407 38.235061 \nL 160.365932 36.08934 \nL 164.6518 34.110569 \nL 169.16495 32.273503 \nL 173.937849 30.573633 \nL 179.002966 29.008697 \nL 184.392771 27.577811 \nL 190.204668 26.26717 \nL 196.536065 25.071425 \nL 203.41943 24.000406 \nL 211.082043 23.037555 \nL 219.588843 22.195167 \nL 229.329453 21.458163 \nL 240.693499 20.828544 \nL 254.330354 20.306236 \nL 270.856923 19.900753 \nL 292.318734 19.599594 \nL 324.884842 19.390683 \nL 370.990398 19.296 \nL 370.990398 19.296 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 30.103125 273.312 \nL 30.103125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 387.223125 273.312 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 30.103125 273.312 \nL 387.223125 273.312 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 30.103125 7.2 \nL 387.223125 7.2 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 341.274688 171.11225 \nL 380.223125 171.11225 \nQ 382.223125 171.11225 382.223125 169.11225 \nL 382.223125 111.39975 \nQ 382.223125 109.39975 380.223125 109.39975 \nL 341.274688 109.39975 \nQ 339.274688 109.39975 339.274688 111.39975 \nL 339.274688 169.11225 \nQ 339.274688 171.11225 341.274688 171.11225 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_17\">\n     <path d=\"M 343.274688 117.498187 \nL 363.274688 117.498187 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_18\"/>\n    <g id=\"text_13\">\n     <!-- S -->\n     <g transform=\"translate(371.274688 120.998187)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n     </g>\n    </g>\n    <g id=\"line2d_19\">\n     <path d=\"M 343.274688 132.176312 \nL 363.274688 132.176312 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_20\"/>\n    <g id=\"text_14\">\n     <!-- E -->\n     <g transform=\"translate(371.274688 135.676312)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-45\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n     </g>\n    </g>\n    <g id=\"line2d_21\">\n     <path d=\"M 343.274688 146.854437 \nL 363.274688 146.854437 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_22\"/>\n    <g id=\"text_15\">\n     <!-- I -->\n     <g transform=\"translate(371.274688 150.354437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-49\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-49\"/>\n     </g>\n    </g>\n    <g id=\"line2d_23\">\n     <path d=\"M 343.274688 161.532562 \nL 363.274688 161.532562 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_24\"/>\n    <g id=\"text_16\">\n     <!-- R -->\n     <g transform=\"translate(371.274688 165.032562)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2841 2188 \nQ 3044 2119 3236 1894 \nQ 3428 1669 3622 1275 \nL 4263 0 \nL 3584 0 \nL 2988 1197 \nQ 2756 1666 2539 1819 \nQ 2322 1972 1947 1972 \nL 1259 1972 \nL 1259 0 \nL 628 0 \nL 628 4666 \nL 2053 4666 \nQ 2853 4666 3247 4331 \nQ 3641 3997 3641 3322 \nQ 3641 2881 3436 2590 \nQ 3231 2300 2841 2188 \nz\nM 1259 4147 \nL 1259 2491 \nL 2053 2491 \nQ 2509 2491 2742 2702 \nQ 2975 2913 2975 3322 \nQ 2975 3731 2742 3939 \nQ 2509 4147 2053 4147 \nL 1259 4147 \nz\n\" id=\"DejaVuSans-52\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-52\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p5a52821395\">\n   <rect height=\"266.112\" width=\"357.12\" x=\"30.103125\" y=\"7.2\"/>\n  </clipPath>\n </defs>\n</svg>\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plots\n",
-    "plt.plot(results_test_np[:,0])\n",
-    "plt.plot(results_test_np[:,1])\n",
-    "plt.plot(results_test_np[:,2])\n",
-    "plt.plot(results_test_np[:,3])\n",
-    "\n",
-    "plt.legend([\"S\", \"E\", \"I\", \"R\"])\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import scipy.io\n",
-    "\n",
-    "scipy.io.savemat(\"SEIR_fitRandomSample_RK4.mat\", {\"x\": results_test_np})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Mean Squared Error Loss"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs={\"a\": 0.1, \"g1\": 0.3, \"g2\": 0.2},\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result_train = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs={'a': 0.09994731843471527, 'g1': 0.2934265434741974, 'g2': 0.1998223513364792},\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result_test = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor(1.3294e-07, grad_fn=<MseLossBackward>)"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "loss = torch.nn.MSELoss()\n",
-    "loss(result_train,result_test)"
-   ]
-  }
- ],
- "metadata": {
-  "interpreter": {
-   "hash": "451aa0df4a570cd656587110b6aa2986586cee19fad7a1827a6dda4238079d81"
-  },
-  "kernelspec": {
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/ode/lorenz63/Lorenz63Test.ipynb b/examples/ode/lorenz63/Lorenz63Test.ipynb
deleted file mode 100644
index 8a81d424..00000000
--- a/examples/ode/lorenz63/Lorenz63Test.ipynb
+++ /dev/null
@@ -1,425 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.chdir(\"../../../\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import torch\n",
-    "from torchts.nn.models.ode import ODESolver\n",
-    "from torchts.utils.data import generate_ode_dataset\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "import mpl_toolkits.mplot3d.axes3d as p3\n",
-    "\n",
-    "import time"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Lorenz 63 equations\n",
-    "def x_prime(prev_val, coeffs):\n",
-    "    return coeffs[\"sigma\"]*(prev_val[\"y\"]-prev_val[\"x\"])\n",
-    "\n",
-    "def y_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x\"]*(coeffs[\"rho\"]-prev_val[\"z\"])-prev_val[\"y\"]\n",
-    "\n",
-    "def z_prime(prev_val, coeffs):\n",
-    "    return prev_val[\"x\"]*prev_val[\"y\"]-coeffs[\"beta\"]*prev_val[\"z\"]\n",
-    "\n",
-    "ode = {\"x\": x_prime, \"y\": y_prime, \"z\": z_prime}\n",
-    "\n",
-    "# Initial conditions [1,0,0]\n",
-    "ode_init = {\"x\":1, \"y\":0, \"z\":0}\n",
-    "\n",
-    "# Constants (Parameters)\n",
-    "ode_coeffs = {\"sigma\": 10., \"rho\": 28., \"beta\": 2.7}\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "tensor([[ 1.0000e+00,  0.0000e+00,  0.0000e+00],\n",
-       "        [ 9.1793e-01,  2.6634e-01,  1.2636e-03],\n",
-       "        [ 8.6792e-01,  5.1173e-01,  4.6540e-03],\n",
-       "        ...,\n",
-       "        [-5.6997e+00, -5.8341e+00,  2.3410e+01],\n",
-       "        [-5.7226e+00, -6.0452e+00,  2.3121e+01],\n",
-       "        [-5.7641e+00, -6.2715e+00,  2.2854e+01]], grad_fn=<StackBackward>)"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "x_train, y_train = generate_ode_dataset(result, num_steps=5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "<ipython-input-7-97482dcfaca7>:8: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().\n",
-      "  ax = fig.gca(projection='3d')\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "result_np = result.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(result_np[:,0], result_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(result_np[:,0], result_np[:,1], result_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Runge-Kutta method for training"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/marty/Documents/GitHub/torchTS/torchts/nn/models/ode.py:24: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
-      "  self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n"
-     ]
-    }
-   ],
-   "source": [
-    "ode_train_coeffs = {\"sigma\": 20*torch.rand(()), \"rho\": 20*torch.rand(()), \"beta\": 20*torch.rand(())} # Start with arbitrary values\n",
-    "\n",
-    "ode_solver_train = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs=ode_train_coeffs,\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=torch.optim.Adam,\n",
-    "    optimizer_args={\"lr\": 0.01}\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "GPU available: False, used: False\n",
-      "TPU available: False, using: 0 TPU cores\n",
-      "IPU available: False, using: 0 IPUs\n",
-      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/configuration_validator.py:122: UserWarning: You defined a `validation_step` but have no `val_dataloader`. Skipping val loop.\n",
-      "  rank_zero_warn(\"You defined a `validation_step` but have no `val_dataloader`. Skipping val loop.\")\n",
-      "\n",
-      "  | Name | Type | Params\n",
-      "------------------------------\n",
-      "------------------------------\n",
-      "3         Trainable params\n",
-      "0         Non-trainable params\n",
-      "3         Total params\n",
-      "0.000     Total estimated model params size (MB)\n",
-      "/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/data_loading.py:116: UserWarning: The dataloader, train_dataloader, does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` (try 4 which is the number of cpus on this machine) in the `DataLoader` init to improve performance.\n",
-      "  rank_zero_warn(\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 0:   0%|          | 1/995 [00:04<1:16:30,  4.62s/it, loss=28.9, v_num=33, train_loss_step=28.90]"
-     ]
-    },
-    {
-     "ename": "RuntimeError",
-     "evalue": "Trying to backward through the graph a second time, but the saved intermediate results have already been freed. Specify retain_graph=True when calling backward the first time.",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-9-4f95edaeea1c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m ode_solver_train.fit(\n\u001b[0m\u001b[1;32m      2\u001b[0m     \u001b[0mx_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m )\n",
-      "\u001b[0;32m~/Documents/GitHub/torchTS/torchts/nn/model.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, x, y, max_epochs, batch_size)\u001b[0m\n\u001b[1;32m     57\u001b[0m         \u001b[0mloader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDataLoader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshuffle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     58\u001b[0m         \u001b[0mtrainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTrainer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax_epochs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmax_epochs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 59\u001b[0;31m         \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mloader\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     60\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     61\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mprepare_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, model, train_dataloaders, val_dataloaders, datamodule, train_dataloader, ckpt_path)\u001b[0m\n\u001b[1;32m    735\u001b[0m             )\n\u001b[1;32m    736\u001b[0m             \u001b[0mtrain_dataloaders\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain_dataloader\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 737\u001b[0;31m         self._call_and_handle_interrupt(\n\u001b[0m\u001b[1;32m    738\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_fit_impl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrain_dataloaders\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mval_dataloaders\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdatamodule\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mckpt_path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    739\u001b[0m         )\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_call_and_handle_interrupt\u001b[0;34m(self, trainer_fn, *args, **kwargs)\u001b[0m\n\u001b[1;32m    680\u001b[0m         \"\"\"\n\u001b[1;32m    681\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 682\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mtrainer_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    683\u001b[0m         \u001b[0;31m# TODO: treat KeyboardInterrupt as BaseException (delete the code below) in v1.7\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    684\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexception\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_fit_impl\u001b[0;34m(self, model, train_dataloaders, val_dataloaders, datamodule, ckpt_path)\u001b[0m\n\u001b[1;32m    770\u001b[0m         \u001b[0;31m# TODO: ckpt_path only in v1.7\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    771\u001b[0m         \u001b[0mckpt_path\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mckpt_path\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresume_from_checkpoint\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 772\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mckpt_path\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mckpt_path\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    773\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    774\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstopped\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, model, ckpt_path)\u001b[0m\n\u001b[1;32m   1192\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1193\u001b[0m         \u001b[0;31m# dispatch `start_training` or `start_evaluating` or `start_predicting`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1194\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1195\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1196\u001b[0m         \u001b[0;31m# plugin will finalized fitting (e.g. ddp_spawn will load trained model)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_dispatch\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1272\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_predicting\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1273\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1274\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1275\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1276\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mrun_stage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py\u001b[0m in \u001b[0;36mstart_training\u001b[0;34m(self, trainer)\u001b[0m\n\u001b[1;32m    200\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    201\u001b[0m         \u001b[0;31m# double dispatch to initiate the training loop\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 202\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_results\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_stage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    203\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    204\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_evaluating\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mrun_stage\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1282\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredicting\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1283\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_predict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1284\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_train\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1285\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1286\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_pre_training_routine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_run_train\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1312\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1313\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautograd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_detect_anomaly\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_detect_anomaly\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1314\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1315\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1316\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_run_evaluate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0m_EVALUATE_OUTPUT\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    143\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 145\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestarting\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/fit_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    232\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    233\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"run_training_epoch\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 234\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mepoch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_fetcher\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    236\u001b[0m             \u001b[0;31m# the global step is manually decreased here due to backwards compatibility with existing loggers\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    143\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 145\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestarting\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/epoch/training_epoch_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    191\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    192\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"run_training_batch\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 193\u001b[0;31m                 \u001b[0mbatch_output\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    194\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    195\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_progress\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mincrement_processed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    143\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 145\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestarting\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, batch, batch_idx)\u001b[0m\n\u001b[1;32m     86\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautomatic_optimization\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     87\u001b[0m             \u001b[0moptimizers\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_get_active_optimizers\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizers\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_frequencies\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 88\u001b[0;31m             \u001b[0moutputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizers\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     89\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     90\u001b[0m             \u001b[0moutputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmanual_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    143\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 145\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestarting\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, batch, *args, **kwargs)\u001b[0m\n\u001b[1;32m    213\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# type: ignore[override]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m         result = self._run_optimization(\n\u001b[0m\u001b[1;32m    216\u001b[0m             \u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_batch_idx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36m_run_optimization\u001b[0;34m(self, split_batch, batch_idx, optimizer, opt_idx)\u001b[0m\n\u001b[1;32m    264\u001b[0m         \u001b[0;31m# gradient update with accumulated gradients\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    265\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 266\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    267\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    268\u001b[0m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconsume_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36m_optimizer_step\u001b[0;34m(self, optimizer, opt_idx, batch_idx, train_step_and_backward_closure)\u001b[0m\n\u001b[1;32m    376\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    377\u001b[0m         \u001b[0;31m# model hook\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 378\u001b[0;31m         lightning_module.optimizer_step(\n\u001b[0m\u001b[1;32m    379\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcurrent_epoch\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    380\u001b[0m             \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/lightning.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, epoch, batch_idx, optimizer, optimizer_idx, optimizer_closure, on_tpu, using_native_amp, using_lbfgs)\u001b[0m\n\u001b[1;32m   1650\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1651\u001b[0m         \"\"\"\n\u001b[0;32m-> 1652\u001b[0;31m         \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moptimizer_closure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1653\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1654\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_zero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepoch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/optimizer.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self, closure, **kwargs)\u001b[0m\n\u001b[1;32m    162\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mtrainer\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprofiler_action\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 164\u001b[0;31m             \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, optimizer, opt_idx, closure, model, **kwargs)\u001b[0m\n\u001b[1;32m    334\u001b[0m         \"\"\"\n\u001b[1;32m    335\u001b[0m         \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 336\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    337\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    338\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_zero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcurrent_epoch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/precision_plugin.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, model, optimizer, optimizer_idx, closure, **kwargs)\u001b[0m\n\u001b[1;32m    161\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLightningModule\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    162\u001b[0m             \u001b[0mclosure\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpartial\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_wrap_closure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 163\u001b[0;31m         \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    164\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    165\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_track_grad_norm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/autograd/grad_mode.py\u001b[0m in \u001b[0;36mdecorate_context\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     24\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mdecorate_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     25\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 26\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     27\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mcast\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mF\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdecorate_context\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/optim/adam.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self, closure)\u001b[0m\n\u001b[1;32m     64\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mclosure\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     65\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menable_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 66\u001b[0;31m                 \u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     67\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     68\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mgroup\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparam_groups\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/precision_plugin.py\u001b[0m in \u001b[0;36m_wrap_closure\u001b[0;34m(self, model, optimizer, optimizer_idx, closure)\u001b[0m\n\u001b[1;32m    146\u001b[0m         \u001b[0mconsistent\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mthe\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0mPrecisionPlugin\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;31m`\u001b[0m \u001b[0msubclasses\u001b[0m \u001b[0mthat\u001b[0m \u001b[0mcannot\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;31m`\u001b[0m \u001b[0mdirectly\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m         \"\"\"\n\u001b[0;32m--> 148\u001b[0;31m         \u001b[0mclosure_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    149\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_after_closure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    150\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mclosure_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    158\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    159\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mTensor\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 160\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    161\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    162\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36mclosure\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    153\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_backward_fn\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mstep_output\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure_loss\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    154\u001b[0m                 \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_profiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"backward\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 155\u001b[0;31m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_backward_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstep_output\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    156\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    157\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mstep_output\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36mbackward_fn\u001b[0;34m(loss)\u001b[0m\n\u001b[1;32m    325\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    326\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mbackward_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTensor\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 327\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    328\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    329\u001b[0m             \u001b[0;31m# check if model weights are nan\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, closure_loss, *args, **kwargs)\u001b[0m\n\u001b[1;32m    309\u001b[0m         \u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpre_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    310\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 311\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    312\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    313\u001b[0m         \u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpost_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/precision_plugin.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, model, closure_loss, optimizer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     89\u001b[0m         \u001b[0;31m# do backward pass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     90\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLightningModule\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 91\u001b[0;31m             \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     92\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     93\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/lightning.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, loss, optimizer, optimizer_idx, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1432\u001b[0m                 \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1433\u001b[0m         \"\"\"\n\u001b[0;32m-> 1434\u001b[0;31m         \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1435\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1436\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtoggle_optimizer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mLightningOptimizer\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/tensor.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, gradient, retain_graph, create_graph)\u001b[0m\n\u001b[1;32m    219\u001b[0m                 \u001b[0mretain_graph\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    220\u001b[0m                 create_graph=create_graph)\n\u001b[0;32m--> 221\u001b[0;31m         \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautograd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgradient\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    222\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    223\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mregister_hook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/autograd/__init__.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(tensors, grad_tensors, retain_graph, create_graph, grad_variables)\u001b[0m\n\u001b[1;32m    128\u001b[0m         \u001b[0mretain_graph\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m     Variable._execution_engine.run_backward(\n\u001b[0m\u001b[1;32m    131\u001b[0m         \u001b[0mtensors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgrad_tensors_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m         allow_unreachable=True)  # allow_unreachable flag\n",
-      "\u001b[0;31mRuntimeError\u001b[0m: Trying to backward through the graph a second time, but the saved intermediate results have already been freed. Specify retain_graph=True when calling backward the first time."
-     ]
-    }
-   ],
-   "source": [
-    "ode_solver_train.fit(\n",
-    "    x_train, y_train, batch_size=1\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver_train.coeffs"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Predictions for nt = 10000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "results_test = ode_solver_train(10000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "results_test"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "results_test_np = results_test.detach().numpy() # Convert to numpy array\n",
-    "\n",
-    "# 2D plot of X and Z\n",
-    "plt.plot(results_test_np[:,0], results_test_np[:,2])\n",
-    "\n",
-    "# 3D plot\n",
-    "fig = plt.figure()\n",
-    "ax = fig.gca(projection='3d')\n",
-    "ax.plot3D(results_test_np[:,0], results_test_np[:,1], results_test_np[:,2], 'blue')\n",
-    "\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import scipy.io\n",
-    "\n",
-    "scipy.io.savemat(\"Lorenz63_fitRandomSample_RK4.mat\", {\"x\": results_test_np})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Mean Squared Error Loss"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs={\"sigma\": 10., \"rho\": 28., \"beta\": 2.7},\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result_train = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ode_solver = ODESolver(\n",
-    "    ode=ode,\n",
-    "    init_vars=ode_init,\n",
-    "    init_coeffs={\"sigma\": 10.0535, \"rho\": 28.0544, \"beta\": 2.6995},\n",
-    "    dt=0.01,\n",
-    "    solver=\"rk4\",\n",
-    "    optimizer=None,\n",
-    ")\n",
-    "\n",
-    "result_test = ode_solver(1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "loss = torch.nn.MSELoss()\n",
-    "loss(result_train,result_test)"
-   ]
-  }
- ],
- "metadata": {
-  "interpreter": {
-   "hash": "451aa0df4a570cd656587110b6aa2986586cee19fad7a1827a6dda4238079d81"
-  },
-  "kernelspec": {
-   "display_name": "Python 3.9.6 64-bit ('torchTS': conda)",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}

From c6864fc1dd2c9e499d90dc2cc39227c3ac5ac0b2 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Sun, 19 Dec 2021 20:56:23 -0500
Subject: [PATCH 67/73] Changed hybridODENet to reflect original ODESolver

---
 torchts/nn/models/hybridode.py | 44 ++++++++--------------------------
 1 file changed, 10 insertions(+), 34 deletions(-)

diff --git a/torchts/nn/models/hybridode.py b/torchts/nn/models/hybridode.py
index 3b2fd2e9..a4d6d6a1 100644
--- a/torchts/nn/models/hybridode.py
+++ b/torchts/nn/models/hybridode.py
@@ -22,9 +22,7 @@ def __init__(
             raise ValueError("Inconsistent keys in ode and init_vars")
 
         if solver == "euler":
-            self.step_solver = self.euler_step
-        elif solver == "rk4":
-            self.step_solver = self.runge_kutta_4_step
+            self.solver = self.euler
         else:
             raise ValueError(f"Unrecognized solver {solver}")
 
@@ -42,38 +40,16 @@ def __init__(
         self.outvar = self.var_names if outvar is None else outvar
         self.dt = dt
 
-    def euler_step(self, prev_val):
+    def euler(self, nt):
         pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
-        for var in self.var_names:
-            pred[var] = prev_val[var]
-            pred[var] += self.ode[var](prev_val, self.coeffs, self.dnns) * self.dt
-        return pred
 
-    def runge_kutta_4_step(self, prev_val):
-        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
-
-        k_1 = prev_val
-        k_2 = {}
-        k_3 = {}
-        k_4 = {}
-
-        for var in self.var_names:
-            k_2[var] = prev_val[var]
-            k_2[var] += self.ode[var](prev_val, self.coeffs, self.dnns) * 0.5 * self.dt
-
-        for var in self.var_names:
-            k_3[var] = prev_val[var]
-            k_3[var] += self.ode[var](k_2, self.coeffs, self.dnns) * 0.5 * self.dt
-
-        for var in self.var_names:
-            k_4[var] = prev_val[var]
-            k_4[var] += self.ode[var](k_3, self.coeffs, self.dnns) * self.dt
+        for n in range(nt - 1):
+            # create dictionary containing values from previous time step
+            prev_val = {var: pred[var][[n]] for var in self.var_names}
 
-        for var in self.var_names:
-            result = self.ode[var](k_1, self.coeffs, self.dnns) / 6
-            result += self.ode[var](k_2, self.coeffs, self.dnns) / 3
-            result += self.ode[var](k_3, self.coeffs, self.dnns) / 3
-            result += self.ode[var](k_4, self.coeffs, self.dnns) / 6
-            pred[var] = prev_val[var] + result * self.dt
+            for var in self.var_names:
+                new_val = prev_val[var] + self.ode[var](prev_val, self.coeffs) * self.dt
+                pred[var] = torch.cat([pred[var], new_val])
 
-        return pred
+        # reformat output to contain desired (observed) variables
+        return torch.stack([pred[var] for var in self.outvar], dim=1)

From 7f402ffe385ebd9a155159b81e4870a3d48dac86 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Sun, 19 Dec 2021 21:00:08 -0500
Subject: [PATCH 68/73] Create DuffingTest_HybridODE.ipynb

---
 .../DuffingTest_HybridODE.ipynb               | 732 ++++++++++++++++++
 1 file changed, 732 insertions(+)
 create mode 100644 examples/ode/DuffingEquation/DuffingTest_HybridODE.ipynb

diff --git a/examples/ode/DuffingEquation/DuffingTest_HybridODE.ipynb b/examples/ode/DuffingEquation/DuffingTest_HybridODE.ipynb
new file mode 100644
index 00000000..3a821964
--- /dev/null
+++ b/examples/ode/DuffingEquation/DuffingTest_HybridODE.ipynb
@@ -0,0 +1,732 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "DuffingTest_DNN.ipynb",
+      "provenance": [],
+      "toc_visible": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "5Z8Z-OzS6Z-G",
+        "outputId": "f83e0d3c-fb76-4938-8aac-3e01134a1969"
+      },
+      "source": [
+        "!pip install pytorch_lightning"
+      ],
+      "execution_count": 1,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Collecting pytorch_lightning\n",
+            "  Downloading pytorch_lightning-1.4.9-py3-none-any.whl (925 kB)\n",
+            "\u001b[?25l\r\u001b[K     |▍                               | 10 kB 21.7 MB/s eta 0:00:01\r\u001b[K     |▊                               | 20 kB 16.9 MB/s eta 0:00:01\r\u001b[K     |█                               | 30 kB 20.8 MB/s eta 0:00:01\r\u001b[K     |█▍                              | 40 kB 13.1 MB/s eta 0:00:01\r\u001b[K     |█▊                              | 51 kB 10.1 MB/s eta 0:00:01\r\u001b[K     |██▏                             | 61 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██▌                             | 71 kB 7.8 MB/s eta 0:00:01\r\u001b[K     |██▉                             | 81 kB 8.5 MB/s eta 0:00:01\r\u001b[K     |███▏                            | 92 kB 7.8 MB/s eta 0:00:01\r\u001b[K     |███▌                            | 102 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████                            | 112 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████▎                           | 122 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████▋                           | 133 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████                           | 143 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████▎                          | 153 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████▋                          | 163 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████                          | 174 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████▍                         | 184 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████▊                         | 194 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████                         | 204 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████▍                        | 215 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████▉                        | 225 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████▏                       | 235 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████▌                       | 245 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████▉                       | 256 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████▏                      | 266 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████▋                      | 276 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████                      | 286 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████▎                     | 296 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████▋                     | 307 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████                     | 317 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████▎                    | 327 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████▊                    | 337 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████                    | 348 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████▍                   | 358 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████▊                   | 368 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████                   | 378 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████▌                  | 389 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████▉                  | 399 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████▏                 | 409 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████▌                 | 419 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████▉                 | 430 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████▏                | 440 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████▋                | 450 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████                | 460 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████▎               | 471 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████▋               | 481 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████               | 491 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████▍              | 501 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████▊              | 512 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████              | 522 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████▍             | 532 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████▊             | 542 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████▏            | 552 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████▌            | 563 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████▉            | 573 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████▏           | 583 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████▌           | 593 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████▉           | 604 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▎          | 614 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▋          | 624 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████          | 634 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████▎         | 645 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████▋         | 655 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████         | 665 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████▍        | 675 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████▊        | 686 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████        | 696 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████▍       | 706 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████▊       | 716 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▏      | 727 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▌      | 737 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▉      | 747 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▏     | 757 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▌     | 768 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████     | 778 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▎    | 788 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▋    | 798 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████    | 808 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▎   | 819 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▊   | 829 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████   | 839 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▍  | 849 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▊  | 860 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████  | 870 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▍ | 880 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▉ | 890 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▏| 901 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▌| 911 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▉| 921 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 925 kB 8.4 MB/s \n",
+            "\u001b[?25hCollecting pyDeprecate==0.3.1\n",
+            "  Downloading pyDeprecate-0.3.1-py3-none-any.whl (10 kB)\n",
+            "Requirement already satisfied: tqdm>=4.41.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (4.62.3)\n",
+            "Collecting PyYAML>=5.1\n",
+            "  Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB)\n",
+            "\u001b[K     |████████████████████████████████| 596 kB 39.5 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: torch>=1.6 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.9.0+cu111)\n",
+            "Requirement already satisfied: numpy>=1.17.2 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.19.5)\n",
+            "Collecting torchmetrics>=0.4.0\n",
+            "  Downloading torchmetrics-0.5.1-py3-none-any.whl (282 kB)\n",
+            "\u001b[K     |████████████████████████████████| 282 kB 51.8 MB/s \n",
+            "\u001b[?25hCollecting fsspec[http]!=2021.06.0,>=2021.05.0\n",
+            "  Downloading fsspec-2021.10.1-py3-none-any.whl (125 kB)\n",
+            "\u001b[K     |████████████████████████████████| 125 kB 36.6 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: packaging>=17.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (21.0)\n",
+            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (3.7.4.3)\n",
+            "Requirement already satisfied: tensorboard>=2.2.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (2.6.0)\n",
+            "Collecting future>=0.17.1\n",
+            "  Downloading future-0.18.2.tar.gz (829 kB)\n",
+            "\u001b[K     |████████████████████████████████| 829 kB 20.7 MB/s \n",
+            "\u001b[?25hCollecting aiohttp\n",
+            "  Downloading aiohttp-3.7.4.post0-cp37-cp37m-manylinux2014_x86_64.whl (1.3 MB)\n",
+            "\u001b[K     |████████████████████████████████| 1.3 MB 40.5 MB/s \n",
+            "\u001b[?25hRequirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.23.0)\n",
+            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging>=17.0->pytorch_lightning) (2.4.7)\n",
+            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (3.3.4)\n",
+            "Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.12.0)\n",
+            "Requirement already satisfied: grpcio>=1.24.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.41.0)\n",
+            "Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.8.0)\n",
+            "Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.35.0)\n",
+            "Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (57.4.0)\n",
+            "Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.0.1)\n",
+            "Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.37.0)\n",
+            "Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.4.6)\n",
+            "Requirement already satisfied: tensorboard-data-server<0.7.0,>=0.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.6.1)\n",
+            "Requirement already satisfied: protobuf>=3.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (3.17.3)\n",
+            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from absl-py>=0.4->tensorboard>=2.2.0->pytorch_lightning) (1.15.0)\n",
+            "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (4.7.2)\n",
+            "Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (4.2.4)\n",
+            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (0.2.8)\n",
+            "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.7/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2.0->pytorch_lightning) (1.3.0)\n",
+            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from markdown>=2.6.8->tensorboard>=2.2.0->pytorch_lightning) (4.8.1)\n",
+            "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /usr/local/lib/python3.7/dist-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (0.4.8)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2021.5.30)\n",
+            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (3.0.4)\n",
+            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (1.24.3)\n",
+            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.10)\n",
+            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2.0->pytorch_lightning) (3.1.1)\n",
+            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (21.2.0)\n",
+            "Collecting yarl<2.0,>=1.0\n",
+            "  Downloading yarl-1.7.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (271 kB)\n",
+            "\u001b[K     |████████████████████████████████| 271 kB 68.3 MB/s \n",
+            "\u001b[?25hCollecting multidict<7.0,>=4.5\n",
+            "  Downloading multidict-5.2.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (160 kB)\n",
+            "\u001b[K     |████████████████████████████████| 160 kB 67.3 MB/s \n",
+            "\u001b[?25hCollecting async-timeout<4.0,>=3.0\n",
+            "  Downloading async_timeout-3.0.1-py3-none-any.whl (8.2 kB)\n",
+            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->markdown>=2.6.8->tensorboard>=2.2.0->pytorch_lightning) (3.6.0)\n",
+            "Building wheels for collected packages: future\n",
+            "  Building wheel for future (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "  Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491070 sha256=8c063018aa301dc492d85fbe4044ef8bf855372d849f3b6f40c44a7b52ea1f17\n",
+            "  Stored in directory: /root/.cache/pip/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0\n",
+            "Successfully built future\n",
+            "Installing collected packages: multidict, yarl, async-timeout, fsspec, aiohttp, torchmetrics, PyYAML, pyDeprecate, future, pytorch-lightning\n",
+            "  Attempting uninstall: PyYAML\n",
+            "    Found existing installation: PyYAML 3.13\n",
+            "    Uninstalling PyYAML-3.13:\n",
+            "      Successfully uninstalled PyYAML-3.13\n",
+            "  Attempting uninstall: future\n",
+            "    Found existing installation: future 0.16.0\n",
+            "    Uninstalling future-0.16.0:\n",
+            "      Successfully uninstalled future-0.16.0\n",
+            "Successfully installed PyYAML-6.0 aiohttp-3.7.4.post0 async-timeout-3.0.1 fsspec-2021.10.1 future-0.18.2 multidict-5.2.0 pyDeprecate-0.3.1 pytorch-lightning-1.4.9 torchmetrics-0.5.1 yarl-1.7.0\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "zu5Sh81e6N9a"
+      },
+      "source": [
+        "import torch\n",
+        "from pytorch_lightning import LightningModule\n",
+        "import torch.nn.functional as F\n",
+        "from torch import nn\n",
+        "from torch.utils.data import DataLoader, TensorDataset\n",
+        "\n",
+        "import matplotlib.pyplot as plt\n",
+        "import mpl_toolkits.mplot3d.axes3d as p3"
+      ],
+      "execution_count": 2,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "Pf5K_82g5blO"
+      },
+      "source": [
+        "class ODEDNNSolver(LightningModule):\n",
+        "    def __init__(\n",
+        "        self, ode, init_vars, init_coeffs, dt, solver=\"euler\", outvar=None, **kwargs\n",
+        "    ):\n",
+        "        super().__init__(**kwargs)\n",
+        "\n",
+        "        if ode.keys() != init_vars.keys():\n",
+        "            raise ValueError(\"Inconsistent keys in ode and init_vars\")\n",
+        "\n",
+        "        if solver == \"euler\":\n",
+        "            self.step_solver = self.euler_step\n",
+        "        elif solver == \"rk4\":\n",
+        "            self.step_solver = self.runge_kutta_4_step\n",
+        "        else:\n",
+        "            raise ValueError(f\"Unrecognized solver {solver}\")\n",
+        "\n",
+        "        for name, value in init_coeffs.items():\n",
+        "            self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n",
+        "        \n",
+        "        self.ode = ode\n",
+        "        self.var_names = ode.keys()\n",
+        "        self.init_vars = {\n",
+        "            name: torch.tensor(value, device=self.device)\n",
+        "            for name, value in init_vars.items()\n",
+        "        }\n",
+        "        self.coeffs = {name: param for name, param in self.named_parameters()}\n",
+        "\n",
+        "        self.dnn = nn.Sequential(\n",
+        "            nn.Linear(1,10),\n",
+        "            nn.ReLU(),\n",
+        "            nn.Linear(10,1),\n",
+        "            nn.Tanh()\n",
+        "        )\n",
+        "\n",
+        "        self.outvar = self.var_names if outvar is None else outvar\n",
+        "        self.dt = dt\n",
+        "        self.criterion = F.mse_loss\n",
+        "\n",
+        "    def euler_step(self, prev_val):\n",
+        "        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}\n",
+        "        for var in self.var_names:\n",
+        "            pred[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnn) * self.dt\n",
+        "        return pred\n",
+        "\n",
+        "    def runge_kutta_4_step(self, prev_val):\n",
+        "        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}\n",
+        "\n",
+        "        k_1 = prev_val\n",
+        "        k_2 = {}\n",
+        "        k_3 = {}\n",
+        "        k_4 = {}\n",
+        "\n",
+        "        for var in self.var_names:\n",
+        "            k_2[var] = (\n",
+        "                prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnn) * 0.5 * self.dt\n",
+        "            )\n",
+        "\n",
+        "        for var in self.var_names:\n",
+        "            k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs, self.dnn) * 0.5 * self.dt\n",
+        "\n",
+        "        for var in self.var_names:\n",
+        "            k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs, self.dnn) * self.dt\n",
+        "\n",
+        "        for var in self.var_names:\n",
+        "            result = self.ode[var](k_1, self.coeffs, self.dnn) / 6\n",
+        "            result += self.ode[var](k_2, self.coeffs, self.dnn) / 3\n",
+        "            result += self.ode[var](k_3, self.coeffs, self.dnn) / 3\n",
+        "            result += self.ode[var](k_4, self.coeffs, self.dnn) / 6\n",
+        "            pred[var] = prev_val[var] + result * self.dt\n",
+        "\n",
+        "        return pred\n",
+        "\n",
+        "    def solver(self, nt):\n",
+        "        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}\n",
+        "\n",
+        "        for n in range(nt - 1):\n",
+        "            # create dictionary containing values from previous time step\n",
+        "            prev_val = {var: pred[var][[n]] for var in self.var_names}\n",
+        "            new_val = self.step_solver(prev_val)\n",
+        "            for var in self.var_names:\n",
+        "                pred[var] = torch.cat([pred[var], new_val[var]])\n",
+        "\n",
+        "        # reformat output to contain desired (observed) variables\n",
+        "        return torch.stack([pred[var] for var in self.outvar], dim=1)\n",
+        "\n",
+        "    def forward(self, nt):\n",
+        "        return self.solver(nt)\n",
+        "\n",
+        "    def get_coeffs(self):\n",
+        "        return {name: param.item() for name, param in self.named_parameters()}\n",
+        "\n",
+        "    def fit(\n",
+        "        self,\n",
+        "        x,\n",
+        "        optim,\n",
+        "        optim_params=None,\n",
+        "        max_epochs=10,\n",
+        "        scheduler=None,\n",
+        "        scheduler_params=None,\n",
+        "    ):\n",
+        "        \"\"\"Fits model to the given data by comparing the whole dataset\n",
+        "        Args:\n",
+        "            x (torch.Tensor): Original time series data\n",
+        "            optim (torch.optim): Optimizer\n",
+        "            optim_params: Optimizer parameters\n",
+        "            max_epochs (int): Number of training epochs\n",
+        "            scheduler (torch.optim.lr_scheduler): Learning rate scheduler\n",
+        "            scheduler_params: Learning rate scheduler parameters\n",
+        "        \"\"\"\n",
+        "        dataset = TensorDataset(x)\n",
+        "        n = dataset.__len__()\n",
+        "        loader = DataLoader(dataset, batch_size=n)\n",
+        "\n",
+        "        if optim_params is not None:\n",
+        "            optimizer = optim(self.parameters(), **optim_params)\n",
+        "        else:\n",
+        "            optimizer = optim(self.parameters())\n",
+        "\n",
+        "        if scheduler is not None:\n",
+        "            if scheduler_params is not None:\n",
+        "                lr_scheduler = scheduler(optimizer, **scheduler_params)\n",
+        "            else:\n",
+        "                lr_scheduler = scheduler(optimizer)\n",
+        "\n",
+        "        for epoch in range(max_epochs):\n",
+        "            for i, data in enumerate(loader, 0):\n",
+        "                self.zero_grad()\n",
+        "                loss = self._step(data, i, n)\n",
+        "                loss.backward(retain_graph=True)\n",
+        "                optimizer.step()\n",
+        "            if scheduler is not None:\n",
+        "                lr_scheduler.step()\n",
+        "\n",
+        "            print(\"Epoch: \" + str(epoch) + \"\\t Loss: \" + str(loss))\n",
+        "            print(self.coeffs)\n",
+        "            # Testing to see that self.dnns changes\n",
+        "            print(\"DNN(1)\", self.dnn(torch.Tensor([1.])))\n",
+        "\n",
+        "    def fit_random_sample(\n",
+        "        self,\n",
+        "        x,\n",
+        "        optim,\n",
+        "        optim_params=None,\n",
+        "        max_epochs=10,\n",
+        "        batch_size=64,\n",
+        "        scheduler=None,\n",
+        "        scheduler_params=None,\n",
+        "    ):\n",
+        "        \"\"\"Fits model to the given data by using random samples for each batch\n",
+        "        Args:\n",
+        "            x (torch.Tensor): Original time series data\n",
+        "            optim (torch.optim): Optimizer\n",
+        "            optim_params: Optimizer parameters\n",
+        "            max_epochs (int): Number of training epochs\n",
+        "            batch_size (int): Batch size for torch.utils.data.DataLoader\n",
+        "            scheduler (torch.optim.lr_scheduler): Learning rate scheduler\n",
+        "            scheduler_params: Learning rate scheduler parameters\n",
+        "        \"\"\"\n",
+        "        dataset = TensorDataset(x)\n",
+        "        loader = DataLoader(dataset, batch_size=batch_size)\n",
+        "\n",
+        "        if optim_params is not None:\n",
+        "            optimizer = optim(self.parameters(), **optim_params)\n",
+        "        else:\n",
+        "            optimizer = optim(self.parameters())\n",
+        "\n",
+        "        if scheduler is not None:\n",
+        "            if scheduler_params is not None:\n",
+        "                lr_scheduler = scheduler(optimizer, **scheduler_params)\n",
+        "            else:\n",
+        "                lr_scheduler = scheduler(optimizer)\n",
+        "\n",
+        "        for epoch in range(max_epochs):\n",
+        "            for i, data in enumerate(loader, 0):\n",
+        "                self.zero_grad()\n",
+        "\n",
+        "                n = data[0].shape[0]\n",
+        "\n",
+        "                if n < 3:\n",
+        "                    continue\n",
+        "\n",
+        "                # Takes a random data point from \"data\"\n",
+        "                ri = torch.randint(low=0, high=n - 2, size=()).item()\n",
+        "                single_point = data[0][ri : ri + 1, :]\n",
+        "                init_point = {\n",
+        "                    var: single_point[0, i] for i, var in enumerate(self.var_names)\n",
+        "                }\n",
+        "\n",
+        "                pred = {\n",
+        "                    name: value.unsqueeze(0) for name, value in self.init_vars.items()\n",
+        "                }\n",
+        "\n",
+        "                pred = self.step_solver(init_point)\n",
+        "\n",
+        "                predictions = torch.stack([pred[var] for var in self.outvar], dim=0)\n",
+        "\n",
+        "                # Compare numerical integration data with next data point\n",
+        "                loss = self.criterion(predictions, data[0][ri + 1, :])\n",
+        "\n",
+        "                loss.backward(retain_graph=True)\n",
+        "                optimizer.step()\n",
+        "\n",
+        "            if scheduler is not None:\n",
+        "                lr_scheduler.step()\n",
+        "\n",
+        "            print(\"Epoch: \" + str(epoch) + \"\\t Loss: \" + str(loss))\n",
+        "            print(self.coeffs)\n",
+        "            # Testing to see that self.dnns changes\n",
+        "            print(\"DNN(1)\", self.dnn(torch.Tensor([1.])))\n",
+        "\n",
+        "    def _step(self, batch, batch_idx, num_batches):\n",
+        "        (x,) = batch\n",
+        "        nt = x.shape[0]\n",
+        "        pred = self(nt)\n",
+        "        return self.criterion(pred, x)"
+      ],
+      "execution_count": 3,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "vhzCXiGS7vcj"
+      },
+      "source": [
+        "# Duffing equation: Second order ODE system\n",
+        "dt = 0.01\n",
+        "\n",
+        "def x_prime(prev_val, coeffs, dnns):\n",
+        "    return prev_val[\"x_\"]\n",
+        "\n",
+        "def x_prime_prime(prev_val, coeffs, dnns):\n",
+        "    return 0.8*torch.cos(0.5*prev_val[\"t\"]) - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n",
+        "\n",
+        "def t_prime(prev_val, coeffs, dnns):\n",
+        "    return 1\n",
+        "\n",
+        "ode = {\"x\": x_prime, \"x_\": x_prime_prime, \"t\": t_prime}\n",
+        "\n",
+        "# Initial conditions [0,0,0]\n",
+        "ode_init = {\"x\": 0, \"x_\": 0, \"t\": 0}\n",
+        "\n",
+        "# Constants (Parameters)\n",
+        "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2}"
+      ],
+      "execution_count": 4,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "0-Om8KZe7zHS"
+      },
+      "source": [
+        "# 4th Order Runge-Kutta - Data Generation for nt = 1000"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "NwF7ddNl71cq"
+      },
+      "source": [
+        "ode_solver = ODEDNNSolver(\n",
+        "    ode=ode,\n",
+        "    init_vars=ode_init,\n",
+        "    init_coeffs=ode_coeffs,\n",
+        "    dt=dt,\n",
+        "    solver=\"rk4\"\n",
+        ")\n",
+        "\n",
+        "result = ode_solver(1000)"
+      ],
+      "execution_count": 5,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 265
+        },
+        "id": "UnDf8azV8W0p",
+        "outputId": "6eca4784-0e7d-4537-95d8-94ec220d1156"
+      },
+      "source": [
+        "result_np = result.detach().numpy() # Convert to numpy array\n",
+        "\n",
+        "# 2D plot of X and Z\n",
+        "plt.plot(result_np[:,2], result_np[:,0])\n",
+        "\n",
+        "plt.show()"
+      ],
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "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\n",
+            "text/plain": [
+              "<Figure size 432x288 with 1 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "ObTghBli7-no"
+      },
+      "source": [
+        "# Euler's method for training"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "87VAZZtR7-n1"
+      },
+      "source": [
+        "def x_prime_prime_train(prev_val, coeffs, dnns):\n",
+        "    return dnns(torch.Tensor([prev_val[\"t\"]]))[0] - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n"
+      ],
+      "execution_count": 7,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "dTx1Q0PV7-n2"
+      },
+      "source": [
+        "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0.}\n",
+        "ode_train = {\"x\": x_prime, \"x_\": x_prime_prime_train, \"t\": t_prime}\n",
+        "\n",
+        "ode_solver_train = ODEDNNSolver(\n",
+        "    ode=ode_train,\n",
+        "    init_vars=ode_init,\n",
+        "    init_coeffs=ode_train_coeffs,\n",
+        "    dt=dt,\n",
+        "    solver=\"rk4\"\n",
+        ")"
+      ],
+      "execution_count": 8,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "67eN5ZyB7-n2",
+        "outputId": "1588284b-d8f3-42ed-ff4e-0428b39394e8"
+      },
+      "source": [
+        "ode_solver_train.fit_random_sample(\n",
+        "    result,torch.optim.Adam,\n",
+        "    {\"lr\": 0.02},\n",
+        "    max_epochs=20,\n",
+        "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+        "    scheduler_params={\"milestones\": [10],\"gamma\": 0.2}\n",
+        ")"
+      ],
+      "execution_count": 9,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Epoch: 0\t Loss: tensor(6.2093e-06, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1419, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.1420, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0721, requires_grad=True)}\n",
+            "DNN(1) tensor([0.2365], grad_fn=<TanhBackward>)\n",
+            "Epoch: 1\t Loss: tensor(2.0705e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2504, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.2516, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.1099, requires_grad=True)}\n",
+            "DNN(1) tensor([0.1373], grad_fn=<TanhBackward>)\n",
+            "Epoch: 2\t Loss: tensor(2.1068e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2731, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.2960, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.1083, requires_grad=True)}\n",
+            "DNN(1) tensor([0.2051], grad_fn=<TanhBackward>)\n",
+            "Epoch: 3\t Loss: tensor(2.6809e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2646, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3165, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0769, requires_grad=True)}\n",
+            "DNN(1) tensor([0.3410], grad_fn=<TanhBackward>)\n",
+            "Epoch: 4\t Loss: tensor(2.4307e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2557, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3321, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0659, requires_grad=True)}\n",
+            "DNN(1) tensor([0.2867], grad_fn=<TanhBackward>)\n",
+            "Epoch: 5\t Loss: tensor(2.1748e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.2179, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3312, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0237, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4414], grad_fn=<TanhBackward>)\n",
+            "Epoch: 6\t Loss: tensor(2.6169e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1903, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3348, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0237, requires_grad=True)}\n",
+            "DNN(1) tensor([0.3845], grad_fn=<TanhBackward>)\n",
+            "Epoch: 7\t Loss: tensor(1.6772e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1749, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3486, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0295, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4565], grad_fn=<TanhBackward>)\n",
+            "Epoch: 8\t Loss: tensor(3.1222e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1566, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3485, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0641, requires_grad=True)}\n",
+            "DNN(1) tensor([0.2051], grad_fn=<TanhBackward>)\n",
+            "Epoch: 9\t Loss: tensor(5.5046e-06, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1387, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3774, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0270, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4718], grad_fn=<TanhBackward>)\n",
+            "Epoch: 10\t Loss: tensor(8.6054e-06, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1340, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3802, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0232, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4493], grad_fn=<TanhBackward>)\n",
+            "Epoch: 11\t Loss: tensor(1.7816e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1227, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3761, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0155, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4175], grad_fn=<TanhBackward>)\n",
+            "Epoch: 12\t Loss: tensor(1.5981e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1157, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3760, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0098, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4440], grad_fn=<TanhBackward>)\n",
+            "Epoch: 13\t Loss: tensor(1.0512e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1122, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3779, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0064, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4677], grad_fn=<TanhBackward>)\n",
+            "Epoch: 14\t Loss: tensor(1.4457e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1096, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3788, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(-0.0031, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4644], grad_fn=<TanhBackward>)\n",
+            "Epoch: 15\t Loss: tensor(1.2071e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.1031, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3770, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0009, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4661], grad_fn=<TanhBackward>)\n",
+            "Epoch: 16\t Loss: tensor(1.5328e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.0963, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3764, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0040, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4691], grad_fn=<TanhBackward>)\n",
+            "Epoch: 17\t Loss: tensor(1.4537e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.0909, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3771, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0068, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4822], grad_fn=<TanhBackward>)\n",
+            "Epoch: 18\t Loss: tensor(1.4585e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.0887, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3810, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0104, requires_grad=True)}\n",
+            "DNN(1) tensor([0.4979], grad_fn=<TanhBackward>)\n",
+            "Epoch: 19\t Loss: tensor(1.1779e-05, grad_fn=<MseLossBackward>)\n",
+            "{'a': Parameter containing:\n",
+            "tensor(0.0851, requires_grad=True), 'b': Parameter containing:\n",
+            "tensor(0.3836, requires_grad=True), 'd': Parameter containing:\n",
+            "tensor(0.0162, requires_grad=True)}\n",
+            "DNN(1) tensor([0.5046], grad_fn=<TanhBackward>)\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 266
+        },
+        "id": "IOMjwKY27-n2",
+        "outputId": "1e8218d2-8200-4b08-9ae5-ec7152cfe18d"
+      },
+      "source": [
+        "result = ode_solver_train(1000)\n",
+        "\n",
+        "result_np = result.detach().numpy() # Convert to numpy array\n",
+        "\n",
+        "# 2D plot of X and Z\n",
+        "plt.plot(result_np[:,2], result_np[:,0])\n",
+        "\n",
+        "plt.show()"
+      ],
+      "execution_count": 10,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "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\n",
+            "text/plain": [
+              "<Figure size 432x288 with 1 Axes>"
+            ]
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "9adPvysOrfMr"
+      },
+      "source": [
+        "# Mean Squared Error Loss"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "kwktnR93ripb"
+      },
+      "source": [
+        "ode_solver = ODEDNNSolver(\n",
+        "    ode=ode,\n",
+        "    init_vars=ode_init,\n",
+        "    init_coeffs=ode_coeffs,\n",
+        "    dt=dt,\n",
+        "    solver=\"rk4\"\n",
+        ")\n",
+        "\n",
+        "result_train = ode_solver(1000)"
+      ],
+      "execution_count": 11,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "aVYankyRrwoW",
+        "outputId": "bc16f6f1-c234-44cb-c9e6-ce0b4f5e8f45"
+      },
+      "source": [
+        "loss = torch.nn.MSELoss()\n",
+        "loss(result_train,result)"
+      ],
+      "execution_count": 12,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "tensor(0.0529, grad_fn=<MseLossBackward>)"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 12
+        }
+      ]
+    }
+  ]
+}

From ca206fcb5d2ac471b36954013091e166e88d7959 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Sun, 19 Dec 2021 21:40:30 -0500
Subject: [PATCH 69/73] Attempt first example

---
 .../DuffingTest_HybridODE.ipynb               | 758 +++++-------------
 torchts/nn/models/hybridode.py                |   2 +-
 torchts/nn/models/ode.py                      |   2 +-
 3 files changed, 214 insertions(+), 548 deletions(-)

diff --git a/examples/ode/DuffingEquation/DuffingTest_HybridODE.ipynb b/examples/ode/DuffingEquation/DuffingTest_HybridODE.ipynb
index 3a821964..ac7191c4 100644
--- a/examples/ode/DuffingEquation/DuffingTest_HybridODE.ipynb
+++ b/examples/ode/DuffingEquation/DuffingTest_HybridODE.ipynb
@@ -1,124 +1,12 @@
 {
-  "nbformat": 4,
-  "nbformat_minor": 0,
-  "metadata": {
-    "colab": {
-      "name": "DuffingTest_DNN.ipynb",
-      "provenance": [],
-      "toc_visible": true
-    },
-    "kernelspec": {
-      "name": "python3",
-      "display_name": "Python 3"
-    },
-    "language_info": {
-      "name": "python"
-    }
-  },
   "cells": [
     {
       "cell_type": "code",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "5Z8Z-OzS6Z-G",
-        "outputId": "f83e0d3c-fb76-4938-8aac-3e01134a1969"
-      },
-      "source": [
-        "!pip install pytorch_lightning"
-      ],
       "execution_count": 1,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Collecting pytorch_lightning\n",
-            "  Downloading pytorch_lightning-1.4.9-py3-none-any.whl (925 kB)\n",
-            "\u001b[?25l\r\u001b[K     |▍                               | 10 kB 21.7 MB/s eta 0:00:01\r\u001b[K     |▊                               | 20 kB 16.9 MB/s eta 0:00:01\r\u001b[K     |█                               | 30 kB 20.8 MB/s eta 0:00:01\r\u001b[K     |█▍                              | 40 kB 13.1 MB/s eta 0:00:01\r\u001b[K     |█▊                              | 51 kB 10.1 MB/s eta 0:00:01\r\u001b[K     |██▏                             | 61 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██▌                             | 71 kB 7.8 MB/s eta 0:00:01\r\u001b[K     |██▉                             | 81 kB 8.5 MB/s eta 0:00:01\r\u001b[K     |███▏                            | 92 kB 7.8 MB/s eta 0:00:01\r\u001b[K     |███▌                            | 102 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████                            | 112 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████▎                           | 122 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████▋                           | 133 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████                           | 143 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████▎                          | 153 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████▋                          | 163 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████                          | 174 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████▍                         | 184 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████▊                         | 194 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████                         | 204 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████▍                        | 215 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████▉                        | 225 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████▏                       | 235 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████▌                       | 245 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████▉                       | 256 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████▏                      | 266 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████▋                      | 276 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████                      | 286 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████▎                     | 296 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████▋                     | 307 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████                     | 317 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████▎                    | 327 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████▊                    | 337 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████                    | 348 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████▍                   | 358 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████▊                   | 368 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████                   | 378 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████▌                  | 389 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████▉                  | 399 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████▏                 | 409 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████▌                 | 419 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████▉                 | 430 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████▏                | 440 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████▋                | 450 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████                | 460 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████▎               | 471 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████▋               | 481 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████               | 491 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████▍              | 501 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████▊              | 512 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████              | 522 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████▍             | 532 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████▊             | 542 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████▏            | 552 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████▌            | 563 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████▉            | 573 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████▏           | 583 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████▌           | 593 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████▉           | 604 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▎          | 614 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████▋          | 624 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████          | 634 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████▎         | 645 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████▋         | 655 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████         | 665 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████▍        | 675 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████▊        | 686 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████        | 696 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████▍       | 706 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████▊       | 716 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▏      | 727 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▌      | 737 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████▉      | 747 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▏     | 757 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▌     | 768 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████     | 778 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▎    | 788 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▋    | 798 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████    | 808 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▎   | 819 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████▊   | 829 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████   | 839 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▍  | 849 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |█████████████████████████████▊  | 860 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████  | 870 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▍ | 880 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████▉ | 890 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▏| 901 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▌| 911 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |███████████████████████████████▉| 921 kB 8.4 MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 925 kB 8.4 MB/s \n",
-            "\u001b[?25hCollecting pyDeprecate==0.3.1\n",
-            "  Downloading pyDeprecate-0.3.1-py3-none-any.whl (10 kB)\n",
-            "Requirement already satisfied: tqdm>=4.41.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (4.62.3)\n",
-            "Collecting PyYAML>=5.1\n",
-            "  Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB)\n",
-            "\u001b[K     |████████████████████████████████| 596 kB 39.5 MB/s \n",
-            "\u001b[?25hRequirement already satisfied: torch>=1.6 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.9.0+cu111)\n",
-            "Requirement already satisfied: numpy>=1.17.2 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (1.19.5)\n",
-            "Collecting torchmetrics>=0.4.0\n",
-            "  Downloading torchmetrics-0.5.1-py3-none-any.whl (282 kB)\n",
-            "\u001b[K     |████████████████████████████████| 282 kB 51.8 MB/s \n",
-            "\u001b[?25hCollecting fsspec[http]!=2021.06.0,>=2021.05.0\n",
-            "  Downloading fsspec-2021.10.1-py3-none-any.whl (125 kB)\n",
-            "\u001b[K     |████████████████████████████████| 125 kB 36.6 MB/s \n",
-            "\u001b[?25hRequirement already satisfied: packaging>=17.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (21.0)\n",
-            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (3.7.4.3)\n",
-            "Requirement already satisfied: tensorboard>=2.2.0 in /usr/local/lib/python3.7/dist-packages (from pytorch_lightning) (2.6.0)\n",
-            "Collecting future>=0.17.1\n",
-            "  Downloading future-0.18.2.tar.gz (829 kB)\n",
-            "\u001b[K     |████████████████████████████████| 829 kB 20.7 MB/s \n",
-            "\u001b[?25hCollecting aiohttp\n",
-            "  Downloading aiohttp-3.7.4.post0-cp37-cp37m-manylinux2014_x86_64.whl (1.3 MB)\n",
-            "\u001b[K     |████████████████████████████████| 1.3 MB 40.5 MB/s \n",
-            "\u001b[?25hRequirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.23.0)\n",
-            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging>=17.0->pytorch_lightning) (2.4.7)\n",
-            "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (3.3.4)\n",
-            "Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.12.0)\n",
-            "Requirement already satisfied: grpcio>=1.24.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.41.0)\n",
-            "Requirement already satisfied: tensorboard-plugin-wit>=1.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.8.0)\n",
-            "Requirement already satisfied: google-auth<2,>=1.6.3 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.35.0)\n",
-            "Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (57.4.0)\n",
-            "Requirement already satisfied: werkzeug>=0.11.15 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (1.0.1)\n",
-            "Requirement already satisfied: wheel>=0.26 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.37.0)\n",
-            "Requirement already satisfied: google-auth-oauthlib<0.5,>=0.4.1 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.4.6)\n",
-            "Requirement already satisfied: tensorboard-data-server<0.7.0,>=0.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (0.6.1)\n",
-            "Requirement already satisfied: protobuf>=3.6.0 in /usr/local/lib/python3.7/dist-packages (from tensorboard>=2.2.0->pytorch_lightning) (3.17.3)\n",
-            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from absl-py>=0.4->tensorboard>=2.2.0->pytorch_lightning) (1.15.0)\n",
-            "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (4.7.2)\n",
-            "Requirement already satisfied: cachetools<5.0,>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (4.2.4)\n",
-            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.7/dist-packages (from google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (0.2.8)\n",
-            "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.7/dist-packages (from google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2.0->pytorch_lightning) (1.3.0)\n",
-            "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from markdown>=2.6.8->tensorboard>=2.2.0->pytorch_lightning) (4.8.1)\n",
-            "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in /usr/local/lib/python3.7/dist-packages (from pyasn1-modules>=0.2.1->google-auth<2,>=1.6.3->tensorboard>=2.2.0->pytorch_lightning) (0.4.8)\n",
-            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2021.5.30)\n",
-            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (3.0.4)\n",
-            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (1.24.3)\n",
-            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (2.10)\n",
-            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.7/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<0.5,>=0.4.1->tensorboard>=2.2.0->pytorch_lightning) (3.1.1)\n",
-            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.7/dist-packages (from aiohttp->fsspec[http]!=2021.06.0,>=2021.05.0->pytorch_lightning) (21.2.0)\n",
-            "Collecting yarl<2.0,>=1.0\n",
-            "  Downloading yarl-1.7.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (271 kB)\n",
-            "\u001b[K     |████████████████████████████████| 271 kB 68.3 MB/s \n",
-            "\u001b[?25hCollecting multidict<7.0,>=4.5\n",
-            "  Downloading multidict-5.2.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (160 kB)\n",
-            "\u001b[K     |████████████████████████████████| 160 kB 67.3 MB/s \n",
-            "\u001b[?25hCollecting async-timeout<4.0,>=3.0\n",
-            "  Downloading async_timeout-3.0.1-py3-none-any.whl (8.2 kB)\n",
-            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->markdown>=2.6.8->tensorboard>=2.2.0->pytorch_lightning) (3.6.0)\n",
-            "Building wheels for collected packages: future\n",
-            "  Building wheel for future (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
-            "  Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491070 sha256=8c063018aa301dc492d85fbe4044ef8bf855372d849f3b6f40c44a7b52ea1f17\n",
-            "  Stored in directory: /root/.cache/pip/wheels/56/b0/fe/4410d17b32f1f0c3cf54cdfb2bc04d7b4b8f4ae377e2229ba0\n",
-            "Successfully built future\n",
-            "Installing collected packages: multidict, yarl, async-timeout, fsspec, aiohttp, torchmetrics, PyYAML, pyDeprecate, future, pytorch-lightning\n",
-            "  Attempting uninstall: PyYAML\n",
-            "    Found existing installation: PyYAML 3.13\n",
-            "    Uninstalling PyYAML-3.13:\n",
-            "      Successfully uninstalled PyYAML-3.13\n",
-            "  Attempting uninstall: future\n",
-            "    Found existing installation: future 0.16.0\n",
-            "    Uninstalling future-0.16.0:\n",
-            "      Successfully uninstalled future-0.16.0\n",
-            "Successfully installed PyYAML-6.0 aiohttp-3.7.4.post0 async-timeout-3.0.1 fsspec-2021.10.1 future-0.18.2 multidict-5.2.0 pyDeprecate-0.3.1 pytorch-lightning-1.4.9 torchmetrics-0.5.1 yarl-1.7.0\n"
-          ]
-        }
-      ]
-    },
-    {
-      "cell_type": "code",
       "metadata": {
         "id": "zu5Sh81e6N9a"
       },
+      "outputs": [],
       "source": [
         "import torch\n",
         "from pytorch_lightning import LightningModule\n",
@@ -128,240 +16,31 @@
         "\n",
         "import matplotlib.pyplot as plt\n",
         "import mpl_toolkits.mplot3d.axes3d as p3"
-      ],
-      "execution_count": 2,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "code",
-      "metadata": {
-        "id": "Pf5K_82g5blO"
-      },
+      "execution_count": 2,
+      "metadata": {},
+      "outputs": [],
       "source": [
-        "class ODEDNNSolver(LightningModule):\n",
-        "    def __init__(\n",
-        "        self, ode, init_vars, init_coeffs, dt, solver=\"euler\", outvar=None, **kwargs\n",
-        "    ):\n",
-        "        super().__init__(**kwargs)\n",
-        "\n",
-        "        if ode.keys() != init_vars.keys():\n",
-        "            raise ValueError(\"Inconsistent keys in ode and init_vars\")\n",
-        "\n",
-        "        if solver == \"euler\":\n",
-        "            self.step_solver = self.euler_step\n",
-        "        elif solver == \"rk4\":\n",
-        "            self.step_solver = self.runge_kutta_4_step\n",
-        "        else:\n",
-        "            raise ValueError(f\"Unrecognized solver {solver}\")\n",
-        "\n",
-        "        for name, value in init_coeffs.items():\n",
-        "            self.register_parameter(name, nn.Parameter(torch.tensor(value)))\n",
-        "        \n",
-        "        self.ode = ode\n",
-        "        self.var_names = ode.keys()\n",
-        "        self.init_vars = {\n",
-        "            name: torch.tensor(value, device=self.device)\n",
-        "            for name, value in init_vars.items()\n",
-        "        }\n",
-        "        self.coeffs = {name: param for name, param in self.named_parameters()}\n",
-        "\n",
-        "        self.dnn = nn.Sequential(\n",
-        "            nn.Linear(1,10),\n",
-        "            nn.ReLU(),\n",
-        "            nn.Linear(10,1),\n",
-        "            nn.Tanh()\n",
-        "        )\n",
-        "\n",
-        "        self.outvar = self.var_names if outvar is None else outvar\n",
-        "        self.dt = dt\n",
-        "        self.criterion = F.mse_loss\n",
-        "\n",
-        "    def euler_step(self, prev_val):\n",
-        "        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}\n",
-        "        for var in self.var_names:\n",
-        "            pred[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnn) * self.dt\n",
-        "        return pred\n",
-        "\n",
-        "    def runge_kutta_4_step(self, prev_val):\n",
-        "        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}\n",
-        "\n",
-        "        k_1 = prev_val\n",
-        "        k_2 = {}\n",
-        "        k_3 = {}\n",
-        "        k_4 = {}\n",
-        "\n",
-        "        for var in self.var_names:\n",
-        "            k_2[var] = (\n",
-        "                prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnn) * 0.5 * self.dt\n",
-        "            )\n",
-        "\n",
-        "        for var in self.var_names:\n",
-        "            k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs, self.dnn) * 0.5 * self.dt\n",
-        "\n",
-        "        for var in self.var_names:\n",
-        "            k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs, self.dnn) * self.dt\n",
-        "\n",
-        "        for var in self.var_names:\n",
-        "            result = self.ode[var](k_1, self.coeffs, self.dnn) / 6\n",
-        "            result += self.ode[var](k_2, self.coeffs, self.dnn) / 3\n",
-        "            result += self.ode[var](k_3, self.coeffs, self.dnn) / 3\n",
-        "            result += self.ode[var](k_4, self.coeffs, self.dnn) / 6\n",
-        "            pred[var] = prev_val[var] + result * self.dt\n",
-        "\n",
-        "        return pred\n",
-        "\n",
-        "    def solver(self, nt):\n",
-        "        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}\n",
-        "\n",
-        "        for n in range(nt - 1):\n",
-        "            # create dictionary containing values from previous time step\n",
-        "            prev_val = {var: pred[var][[n]] for var in self.var_names}\n",
-        "            new_val = self.step_solver(prev_val)\n",
-        "            for var in self.var_names:\n",
-        "                pred[var] = torch.cat([pred[var], new_val[var]])\n",
-        "\n",
-        "        # reformat output to contain desired (observed) variables\n",
-        "        return torch.stack([pred[var] for var in self.outvar], dim=1)\n",
-        "\n",
-        "    def forward(self, nt):\n",
-        "        return self.solver(nt)\n",
-        "\n",
-        "    def get_coeffs(self):\n",
-        "        return {name: param.item() for name, param in self.named_parameters()}\n",
-        "\n",
-        "    def fit(\n",
-        "        self,\n",
-        "        x,\n",
-        "        optim,\n",
-        "        optim_params=None,\n",
-        "        max_epochs=10,\n",
-        "        scheduler=None,\n",
-        "        scheduler_params=None,\n",
-        "    ):\n",
-        "        \"\"\"Fits model to the given data by comparing the whole dataset\n",
-        "        Args:\n",
-        "            x (torch.Tensor): Original time series data\n",
-        "            optim (torch.optim): Optimizer\n",
-        "            optim_params: Optimizer parameters\n",
-        "            max_epochs (int): Number of training epochs\n",
-        "            scheduler (torch.optim.lr_scheduler): Learning rate scheduler\n",
-        "            scheduler_params: Learning rate scheduler parameters\n",
-        "        \"\"\"\n",
-        "        dataset = TensorDataset(x)\n",
-        "        n = dataset.__len__()\n",
-        "        loader = DataLoader(dataset, batch_size=n)\n",
-        "\n",
-        "        if optim_params is not None:\n",
-        "            optimizer = optim(self.parameters(), **optim_params)\n",
-        "        else:\n",
-        "            optimizer = optim(self.parameters())\n",
-        "\n",
-        "        if scheduler is not None:\n",
-        "            if scheduler_params is not None:\n",
-        "                lr_scheduler = scheduler(optimizer, **scheduler_params)\n",
-        "            else:\n",
-        "                lr_scheduler = scheduler(optimizer)\n",
-        "\n",
-        "        for epoch in range(max_epochs):\n",
-        "            for i, data in enumerate(loader, 0):\n",
-        "                self.zero_grad()\n",
-        "                loss = self._step(data, i, n)\n",
-        "                loss.backward(retain_graph=True)\n",
-        "                optimizer.step()\n",
-        "            if scheduler is not None:\n",
-        "                lr_scheduler.step()\n",
-        "\n",
-        "            print(\"Epoch: \" + str(epoch) + \"\\t Loss: \" + str(loss))\n",
-        "            print(self.coeffs)\n",
-        "            # Testing to see that self.dnns changes\n",
-        "            print(\"DNN(1)\", self.dnn(torch.Tensor([1.])))\n",
-        "\n",
-        "    def fit_random_sample(\n",
-        "        self,\n",
-        "        x,\n",
-        "        optim,\n",
-        "        optim_params=None,\n",
-        "        max_epochs=10,\n",
-        "        batch_size=64,\n",
-        "        scheduler=None,\n",
-        "        scheduler_params=None,\n",
-        "    ):\n",
-        "        \"\"\"Fits model to the given data by using random samples for each batch\n",
-        "        Args:\n",
-        "            x (torch.Tensor): Original time series data\n",
-        "            optim (torch.optim): Optimizer\n",
-        "            optim_params: Optimizer parameters\n",
-        "            max_epochs (int): Number of training epochs\n",
-        "            batch_size (int): Batch size for torch.utils.data.DataLoader\n",
-        "            scheduler (torch.optim.lr_scheduler): Learning rate scheduler\n",
-        "            scheduler_params: Learning rate scheduler parameters\n",
-        "        \"\"\"\n",
-        "        dataset = TensorDataset(x)\n",
-        "        loader = DataLoader(dataset, batch_size=batch_size)\n",
-        "\n",
-        "        if optim_params is not None:\n",
-        "            optimizer = optim(self.parameters(), **optim_params)\n",
-        "        else:\n",
-        "            optimizer = optim(self.parameters())\n",
-        "\n",
-        "        if scheduler is not None:\n",
-        "            if scheduler_params is not None:\n",
-        "                lr_scheduler = scheduler(optimizer, **scheduler_params)\n",
-        "            else:\n",
-        "                lr_scheduler = scheduler(optimizer)\n",
-        "\n",
-        "        for epoch in range(max_epochs):\n",
-        "            for i, data in enumerate(loader, 0):\n",
-        "                self.zero_grad()\n",
-        "\n",
-        "                n = data[0].shape[0]\n",
-        "\n",
-        "                if n < 3:\n",
-        "                    continue\n",
-        "\n",
-        "                # Takes a random data point from \"data\"\n",
-        "                ri = torch.randint(low=0, high=n - 2, size=()).item()\n",
-        "                single_point = data[0][ri : ri + 1, :]\n",
-        "                init_point = {\n",
-        "                    var: single_point[0, i] for i, var in enumerate(self.var_names)\n",
-        "                }\n",
-        "\n",
-        "                pred = {\n",
-        "                    name: value.unsqueeze(0) for name, value in self.init_vars.items()\n",
-        "                }\n",
-        "\n",
-        "                pred = self.step_solver(init_point)\n",
-        "\n",
-        "                predictions = torch.stack([pred[var] for var in self.outvar], dim=0)\n",
-        "\n",
-        "                # Compare numerical integration data with next data point\n",
-        "                loss = self.criterion(predictions, data[0][ri + 1, :])\n",
-        "\n",
-        "                loss.backward(retain_graph=True)\n",
-        "                optimizer.step()\n",
-        "\n",
-        "            if scheduler is not None:\n",
-        "                lr_scheduler.step()\n",
-        "\n",
-        "            print(\"Epoch: \" + str(epoch) + \"\\t Loss: \" + str(loss))\n",
-        "            print(self.coeffs)\n",
-        "            # Testing to see that self.dnns changes\n",
-        "            print(\"DNN(1)\", self.dnn(torch.Tensor([1.])))\n",
-        "\n",
-        "    def _step(self, batch, batch_idx, num_batches):\n",
-        "        (x,) = batch\n",
-        "        nt = x.shape[0]\n",
-        "        pred = self(nt)\n",
-        "        return self.criterion(pred, x)"
-      ],
-      "execution_count": 3,
-      "outputs": []
+        "try:\n",
+        "    from torchts.nn.models.ode import ODESolver\n",
+        "    from torchts.nn.models.hybridode import HybridODENet\n",
+        "except ModuleNotFoundError:\n",
+        "    import sys\n",
+        "    sys.path.append(\"../../..\")\n",
+        "    from torchts.nn.models.ode import ODESolver\n",
+        "    from torchts.nn.models.hybridode import HybridODENet"
+      ]
     },
     {
       "cell_type": "code",
+      "execution_count": 3,
       "metadata": {
         "id": "vhzCXiGS7vcj"
       },
+      "outputs": [],
       "source": [
         "# Duffing equation: Second order ODE system\n",
         "dt = 0.01\n",
@@ -382,9 +61,7 @@
         "\n",
         "# Constants (Parameters)\n",
         "ode_coeffs = {\"a\": 0.1, \"b\": 0.5, \"d\": 0.2}"
-      ],
-      "execution_count": 4,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "markdown",
@@ -397,25 +74,27 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 4,
       "metadata": {
         "id": "NwF7ddNl71cq"
       },
+      "outputs": [],
       "source": [
-        "ode_solver = ODEDNNSolver(\n",
+        "ode_solver = HybridODENet(\n",
         "    ode=ode,\n",
+        "    dnns={},\n",
         "    init_vars=ode_init,\n",
         "    init_coeffs=ode_coeffs,\n",
         "    dt=dt,\n",
-        "    solver=\"rk4\"\n",
+        "    optimizer=None\n",
         ")\n",
         "\n",
         "result = ode_solver(1000)"
-      ],
-      "execution_count": 5,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "code",
+      "execution_count": 5,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -424,28 +103,25 @@
         "id": "UnDf8azV8W0p",
         "outputId": "6eca4784-0e7d-4537-95d8-94ec220d1156"
       },
-      "source": [
-        "result_np = result.detach().numpy() # Convert to numpy array\n",
-        "\n",
-        "# 2D plot of X and Z\n",
-        "plt.plot(result_np[:,2], result_np[:,0])\n",
-        "\n",
-        "plt.show()"
-      ],
-      "execution_count": 6,
       "outputs": [
         {
-          "output_type": "display_data",
           "data": {
-            "image/png": "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\n",
+            "image/png": "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",
             "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
+              "<Figure size 640x480 with 1 Axes>"
             ]
           },
-          "metadata": {
-            "needs_background": "light"
-          }
+          "metadata": {},
+          "output_type": "display_data"
         }
+      ],
+      "source": [
+        "result_np = result.detach().numpy() # Convert to numpy array\n",
+        "\n",
+        "# 2D plot of X and Z\n",
+        "plt.plot(result_np[:,2], result_np[:,0])\n",
+        "\n",
+        "plt.show()"
       ]
     },
     {
@@ -459,38 +135,105 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 6,
       "metadata": {
         "id": "87VAZZtR7-n1"
       },
+      "outputs": [],
       "source": [
         "def x_prime_prime_train(prev_val, coeffs, dnns):\n",
-        "    return dnns(torch.Tensor([prev_val[\"t\"]]))[0] - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n"
-      ],
+        "    return dnns[\"f\"](torch.Tensor([prev_val[\"t\"]]))[0] - coeffs[\"d\"]*prev_val[\"x_\"] - coeffs[\"a\"]*prev_val[\"x\"] - coeffs[\"b\"]*prev_val[\"x\"]*prev_val[\"x\"]*prev_val[\"x\"]\n"
+      ]
+    },
+    {
+      "cell_type": "code",
       "execution_count": 7,
-      "outputs": []
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "dnns = {\"f\": nn.Sequential(\n",
+        "            nn.Linear(1,10),\n",
+        "            nn.ReLU(),\n",
+        "            nn.Linear(10,1),\n",
+        "            nn.Tanh()\n",
+        "        )}"
+      ]
     },
     {
       "cell_type": "code",
+      "execution_count": 14,
       "metadata": {
         "id": "dTx1Q0PV7-n2"
       },
+      "outputs": [],
       "source": [
         "ode_train_coeffs = {\"a\": 0., \"b\": 0., \"d\": 0.}\n",
         "ode_train = {\"x\": x_prime, \"x_\": x_prime_prime_train, \"t\": t_prime}\n",
         "\n",
-        "ode_solver_train = ODEDNNSolver(\n",
+        "ode_solver_train = HybridODENet(\n",
         "    ode=ode_train,\n",
+        "    dnns=dnns,\n",
         "    init_vars=ode_init,\n",
         "    init_coeffs=ode_train_coeffs,\n",
         "    dt=dt,\n",
-        "    solver=\"rk4\"\n",
+        "    solver=\"euler\",\n",
+        "    optimizer=torch.optim.Adam,\n",
+        "    optimizer_args={\"lr\": 0.5},\n",
+        "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
+        "    scheduler_args={\"milestones\": [5],\"gamma\": 0.2}\n",
         ")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 15,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "ode_solver_train.register_parameter(\"f0\", dnns[\"f\"][0].weight)\n",
+        "ode_solver_train.register_parameter(\"f2\", dnns[\"f\"][2].weight)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 16,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Parameter containing:\n",
+            "tensor(0., requires_grad=True)\n",
+            "Parameter containing:\n",
+            "tensor(0., requires_grad=True)\n",
+            "Parameter containing:\n",
+            "tensor(0., requires_grad=True)\n",
+            "Parameter containing:\n",
+            "tensor([[ 0.2142],\n",
+            "        [-0.8496],\n",
+            "        [ 0.5126],\n",
+            "        [-0.8355],\n",
+            "        [-0.4257],\n",
+            "        [-0.9374],\n",
+            "        [ 0.4995],\n",
+            "        [-0.3751],\n",
+            "        [-0.7042],\n",
+            "        [-0.2644]], requires_grad=True)\n",
+            "Parameter containing:\n",
+            "tensor([[ 0.3312,  0.3463,  0.0904,  0.1946, -0.0459, -0.0237,  0.1171,  0.2378,\n",
+            "         -0.0938, -0.1383]], requires_grad=True)\n"
+          ]
+        }
       ],
-      "execution_count": 8,
-      "outputs": []
+      "source": [
+        "for param in ode_solver_train.parameters():\n",
+        "    print(param)"
+      ]
     },
     {
       "cell_type": "code",
+      "execution_count": 17,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -498,147 +241,89 @@
         "id": "67eN5ZyB7-n2",
         "outputId": "1588284b-d8f3-42ed-ff4e-0428b39394e8"
       },
-      "source": [
-        "ode_solver_train.fit_random_sample(\n",
-        "    result,torch.optim.Adam,\n",
-        "    {\"lr\": 0.02},\n",
-        "    max_epochs=20,\n",
-        "    scheduler=torch.optim.lr_scheduler.MultiStepLR,\n",
-        "    scheduler_params={\"milestones\": [10],\"gamma\": 0.2}\n",
-        ")"
-      ],
-      "execution_count": 9,
       "outputs": [
         {
+          "name": "stderr",
           "output_type": "stream",
+          "text": [
+            "GPU available: False, used: False\n",
+            "TPU available: False, using: 0 TPU cores\n",
+            "IPU available: False, using: 0 IPUs\n",
+            "\n",
+            "  | Name | Type | Params\n",
+            "------------------------------\n",
+            "------------------------------\n",
+            "23        Trainable params\n",
+            "0         Non-trainable params\n",
+            "23        Total params\n",
+            "0.000     Total estimated model params size (MB)\n"
+          ]
+        },
+        {
           "name": "stdout",
+          "output_type": "stream",
           "text": [
-            "Epoch: 0\t Loss: tensor(6.2093e-06, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1419, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.1420, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0721, requires_grad=True)}\n",
-            "DNN(1) tensor([0.2365], grad_fn=<TanhBackward>)\n",
-            "Epoch: 1\t Loss: tensor(2.0705e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.2504, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.2516, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.1099, requires_grad=True)}\n",
-            "DNN(1) tensor([0.1373], grad_fn=<TanhBackward>)\n",
-            "Epoch: 2\t Loss: tensor(2.1068e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.2731, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.2960, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.1083, requires_grad=True)}\n",
-            "DNN(1) tensor([0.2051], grad_fn=<TanhBackward>)\n",
-            "Epoch: 3\t Loss: tensor(2.6809e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.2646, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3165, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0769, requires_grad=True)}\n",
-            "DNN(1) tensor([0.3410], grad_fn=<TanhBackward>)\n",
-            "Epoch: 4\t Loss: tensor(2.4307e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.2557, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3321, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0659, requires_grad=True)}\n",
-            "DNN(1) tensor([0.2867], grad_fn=<TanhBackward>)\n",
-            "Epoch: 5\t Loss: tensor(2.1748e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.2179, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3312, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0237, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4414], grad_fn=<TanhBackward>)\n",
-            "Epoch: 6\t Loss: tensor(2.6169e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1903, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3348, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0237, requires_grad=True)}\n",
-            "DNN(1) tensor([0.3845], grad_fn=<TanhBackward>)\n",
-            "Epoch: 7\t Loss: tensor(1.6772e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1749, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3486, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0295, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4565], grad_fn=<TanhBackward>)\n",
-            "Epoch: 8\t Loss: tensor(3.1222e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1566, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3485, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0641, requires_grad=True)}\n",
-            "DNN(1) tensor([0.2051], grad_fn=<TanhBackward>)\n",
-            "Epoch: 9\t Loss: tensor(5.5046e-06, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1387, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3774, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0270, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4718], grad_fn=<TanhBackward>)\n",
-            "Epoch: 10\t Loss: tensor(8.6054e-06, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1340, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3802, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0232, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4493], grad_fn=<TanhBackward>)\n",
-            "Epoch: 11\t Loss: tensor(1.7816e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1227, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3761, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0155, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4175], grad_fn=<TanhBackward>)\n",
-            "Epoch: 12\t Loss: tensor(1.5981e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1157, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3760, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0098, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4440], grad_fn=<TanhBackward>)\n",
-            "Epoch: 13\t Loss: tensor(1.0512e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1122, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3779, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0064, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4677], grad_fn=<TanhBackward>)\n",
-            "Epoch: 14\t Loss: tensor(1.4457e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1096, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3788, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(-0.0031, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4644], grad_fn=<TanhBackward>)\n",
-            "Epoch: 15\t Loss: tensor(1.2071e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.1031, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3770, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0009, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4661], grad_fn=<TanhBackward>)\n",
-            "Epoch: 16\t Loss: tensor(1.5328e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.0963, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3764, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0040, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4691], grad_fn=<TanhBackward>)\n",
-            "Epoch: 17\t Loss: tensor(1.4537e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.0909, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3771, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0068, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4822], grad_fn=<TanhBackward>)\n",
-            "Epoch: 18\t Loss: tensor(1.4585e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.0887, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3810, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0104, requires_grad=True)}\n",
-            "DNN(1) tensor([0.4979], grad_fn=<TanhBackward>)\n",
-            "Epoch: 19\t Loss: tensor(1.1779e-05, grad_fn=<MseLossBackward>)\n",
-            "{'a': Parameter containing:\n",
-            "tensor(0.0851, requires_grad=True), 'b': Parameter containing:\n",
-            "tensor(0.3836, requires_grad=True), 'd': Parameter containing:\n",
-            "tensor(0.0162, requires_grad=True)}\n",
-            "DNN(1) tensor([0.5046], grad_fn=<TanhBackward>)\n"
+            "Epoch 0:   0%|          | 0/1 [00:00<?, ?it/s] "
+          ]
+        },
+        {
+          "ename": "RuntimeError",
+          "evalue": "Trying to backward through the graph a second time, but the saved intermediate results have already been freed. Specify retain_graph=True when calling backward the first time.",
+          "output_type": "error",
+          "traceback": [
+            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+            "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
+            "\u001b[0;32m<ipython-input-17-6be3c7798800>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m ode_solver_train.fit(\n\u001b[0m\u001b[1;32m      2\u001b[0m     \u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0mmax_epochs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0mbatch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m )\n",
+            "\u001b[0;32m~/Documents/GitHub/torchTS/examples/ode/DuffingEquation/../../../torchts/nn/model.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, x, y, max_epochs, batch_size)\u001b[0m\n\u001b[1;32m     57\u001b[0m         \u001b[0mloader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDataLoader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbatch_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshuffle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     58\u001b[0m         \u001b[0mtrainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTrainer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax_epochs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmax_epochs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 59\u001b[0;31m         \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mloader\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     60\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     61\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mprepare_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, model, train_dataloaders, val_dataloaders, datamodule, train_dataloader, ckpt_path)\u001b[0m\n\u001b[1;32m    735\u001b[0m             )\n\u001b[1;32m    736\u001b[0m             \u001b[0mtrain_dataloaders\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain_dataloader\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 737\u001b[0;31m         self._call_and_handle_interrupt(\n\u001b[0m\u001b[1;32m    738\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_fit_impl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrain_dataloaders\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mval_dataloaders\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdatamodule\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mckpt_path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    739\u001b[0m         )\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_call_and_handle_interrupt\u001b[0;34m(self, trainer_fn, *args, **kwargs)\u001b[0m\n\u001b[1;32m    680\u001b[0m         \"\"\"\n\u001b[1;32m    681\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 682\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mtrainer_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    683\u001b[0m         \u001b[0;31m# TODO: treat KeyboardInterrupt as BaseException (delete the code below) in v1.7\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    684\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mKeyboardInterrupt\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexception\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_fit_impl\u001b[0;34m(self, model, train_dataloaders, val_dataloaders, datamodule, ckpt_path)\u001b[0m\n\u001b[1;32m    770\u001b[0m         \u001b[0;31m# TODO: ckpt_path only in v1.7\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    771\u001b[0m         \u001b[0mckpt_path\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mckpt_path\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresume_from_checkpoint\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 772\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mckpt_path\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mckpt_path\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    773\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    774\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstopped\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, model, ckpt_path)\u001b[0m\n\u001b[1;32m   1192\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1193\u001b[0m         \u001b[0;31m# dispatch `start_training` or `start_evaluating` or `start_predicting`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1194\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1195\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1196\u001b[0m         \u001b[0;31m# plugin will finalized fitting (e.g. ddp_spawn will load trained model)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_dispatch\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1272\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_predicting\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1273\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1274\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtraining_type_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1275\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1276\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mrun_stage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/training_type/training_type_plugin.py\u001b[0m in \u001b[0;36mstart_training\u001b[0;34m(self, trainer)\u001b[0m\n\u001b[1;32m    200\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_training\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    201\u001b[0m         \u001b[0;31m# double dispatch to initiate the training loop\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 202\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_results\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_stage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    203\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    204\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart_evaluating\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36mrun_stage\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1282\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredicting\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1283\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_predict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1284\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_train\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1285\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1286\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_pre_training_routine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py\u001b[0m in \u001b[0;36m_run_train\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1312\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1313\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautograd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_detect_anomaly\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_detect_anomaly\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1314\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1315\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1316\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_run_evaluate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0m_EVALUATE_OUTPUT\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    143\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 145\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestarting\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/fit_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    232\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    233\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"run_training_epoch\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 234\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mepoch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_fetcher\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    236\u001b[0m             \u001b[0;31m# the global step is manually decreased here due to backwards compatibility with existing loggers\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    143\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 145\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestarting\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/epoch/training_epoch_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    191\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    192\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"run_training_batch\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 193\u001b[0;31m                 \u001b[0mbatch_output\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    194\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    195\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbatch_progress\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mincrement_processed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    143\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 145\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestarting\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/batch/training_batch_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, batch, batch_idx)\u001b[0m\n\u001b[1;32m     86\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautomatic_optimization\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     87\u001b[0m             \u001b[0moptimizers\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_get_active_optimizers\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizers\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_frequencies\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 88\u001b[0;31m             \u001b[0moutputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizers\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     89\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     90\u001b[0m             \u001b[0moutputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmanual_loop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msplit_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    143\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    144\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 145\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    146\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mon_advance_end\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrestarting\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36madvance\u001b[0;34m(self, batch, *args, **kwargs)\u001b[0m\n\u001b[1;32m    213\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0madvance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# type: ignore[override]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m         result = self._run_optimization(\n\u001b[0m\u001b[1;32m    216\u001b[0m             \u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_batch_idx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36m_run_optimization\u001b[0;34m(self, split_batch, batch_idx, optimizer, opt_idx)\u001b[0m\n\u001b[1;32m    264\u001b[0m         \u001b[0;31m# gradient update with accumulated gradients\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    265\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 266\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    267\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    268\u001b[0m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconsume_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36m_optimizer_step\u001b[0;34m(self, optimizer, opt_idx, batch_idx, train_step_and_backward_closure)\u001b[0m\n\u001b[1;32m    376\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    377\u001b[0m         \u001b[0;31m# model hook\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 378\u001b[0;31m         lightning_module.optimizer_step(\n\u001b[0m\u001b[1;32m    379\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcurrent_epoch\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    380\u001b[0m             \u001b[0mbatch_idx\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/lightning.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, epoch, batch_idx, optimizer, optimizer_idx, optimizer_closure, on_tpu, using_native_amp, using_lbfgs)\u001b[0m\n\u001b[1;32m   1650\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1651\u001b[0m         \"\"\"\n\u001b[0;32m-> 1652\u001b[0;31m         \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moptimizer_closure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1653\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1654\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_zero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mepoch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/optimizer.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self, closure, **kwargs)\u001b[0m\n\u001b[1;32m    162\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mtrainer\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprofiler_action\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 164\u001b[0;31m             \u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_optimizer_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, optimizer, opt_idx, closure, model, **kwargs)\u001b[0m\n\u001b[1;32m    334\u001b[0m         \"\"\"\n\u001b[1;32m    335\u001b[0m         \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 336\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptimizer_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    337\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    338\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptimizer_zero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcurrent_epoch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/precision_plugin.py\u001b[0m in \u001b[0;36moptimizer_step\u001b[0;34m(self, model, optimizer, optimizer_idx, closure, **kwargs)\u001b[0m\n\u001b[1;32m    161\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLightningModule\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    162\u001b[0m             \u001b[0mclosure\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpartial\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_wrap_closure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 163\u001b[0;31m         \u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    164\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    165\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_track_grad_norm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"pl.Trainer\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/optim/lr_scheduler.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     65\u001b[0m                 \u001b[0minstance\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_step_count\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m                 \u001b[0mwrapped\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__get__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minstance\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 67\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mwrapped\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m             \u001b[0;31m# Note that the returned function here is no longer a bound method,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/autograd/grad_mode.py\u001b[0m in \u001b[0;36mdecorate_context\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     24\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mdecorate_context\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     25\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 26\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     27\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mcast\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mF\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdecorate_context\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/optim/adam.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self, closure)\u001b[0m\n\u001b[1;32m     64\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mclosure\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     65\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0menable_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 66\u001b[0;31m                 \u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     67\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     68\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mgroup\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparam_groups\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/precision_plugin.py\u001b[0m in \u001b[0;36m_wrap_closure\u001b[0;34m(self, model, optimizer, optimizer_idx, closure)\u001b[0m\n\u001b[1;32m    146\u001b[0m         \u001b[0mconsistent\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mthe\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0mPrecisionPlugin\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;31m`\u001b[0m \u001b[0msubclasses\u001b[0m \u001b[0mthat\u001b[0m \u001b[0mcannot\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0moptimizer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;31m`\u001b[0m\u001b[0;31m`\u001b[0m \u001b[0mdirectly\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m         \"\"\"\n\u001b[0;32m--> 148\u001b[0;31m         \u001b[0mclosure_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclosure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    149\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_after_closure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    150\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mclosure_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    158\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    159\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mOptional\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mTensor\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 160\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    161\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    162\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36mclosure\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    153\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_backward_fn\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mstep_output\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure_loss\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    154\u001b[0m                 \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_profiler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprofile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"backward\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 155\u001b[0;31m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_backward_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstep_output\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    156\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    157\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mstep_output\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/loops/optimization/optimizer_loop.py\u001b[0m in \u001b[0;36mbackward_fn\u001b[0;34m(loss)\u001b[0m\n\u001b[1;32m    325\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    326\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0mbackward_fn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTensor\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 327\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maccelerator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopt_idx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    328\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    329\u001b[0m             \u001b[0;31m# check if model weights are nan\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/accelerators/accelerator.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, closure_loss, *args, **kwargs)\u001b[0m\n\u001b[1;32m    309\u001b[0m         \u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpre_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    310\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 311\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    312\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    313\u001b[0m         \u001b[0mclosure_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprecision_plugin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpost_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlightning_module\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclosure_loss\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/plugins/precision/precision_plugin.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, model, closure_loss, optimizer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     89\u001b[0m         \u001b[0;31m# do backward pass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     90\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mmodel\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLightningModule\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 91\u001b[0;31m             \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     92\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     93\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mclosure_loss\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/pytorch_lightning/core/lightning.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, loss, optimizer, optimizer_idx, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1432\u001b[0m                 \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1433\u001b[0m         \"\"\"\n\u001b[0;32m-> 1434\u001b[0;31m         \u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1435\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1436\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtoggle_optimizer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mOptimizer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mLightningOptimizer\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptimizer_idx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/tensor.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, gradient, retain_graph, create_graph)\u001b[0m\n\u001b[1;32m    219\u001b[0m                 \u001b[0mretain_graph\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    220\u001b[0m                 create_graph=create_graph)\n\u001b[0;32m--> 221\u001b[0;31m         \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautograd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgradient\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    222\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    223\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mregister_hook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/opt/anaconda3/envs/torchTS/lib/python3.9/site-packages/torch/autograd/__init__.py\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(tensors, grad_tensors, retain_graph, create_graph, grad_variables)\u001b[0m\n\u001b[1;32m    128\u001b[0m         \u001b[0mretain_graph\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m     Variable._execution_engine.run_backward(\n\u001b[0m\u001b[1;32m    131\u001b[0m         \u001b[0mtensors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgrad_tensors_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m         allow_unreachable=True)  # allow_unreachable flag\n",
+            "\u001b[0;31mRuntimeError\u001b[0m: Trying to backward through the graph a second time, but the saved intermediate results have already been freed. Specify retain_graph=True when calling backward the first time."
           ]
         }
+      ],
+      "source": [
+        "ode_solver_train.fit(\n",
+        "    result,result,\n",
+        "    max_epochs=1,\n",
+        "    batch_size=result.shape[0]\n",
+        ")"
       ]
     },
     {
       "cell_type": "code",
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -647,8 +332,9 @@
         "id": "IOMjwKY27-n2",
         "outputId": "1e8218d2-8200-4b08-9ae5-ec7152cfe18d"
       },
+      "outputs": [],
       "source": [
-        "result = ode_solver_train(1000)\n",
+        "result_train = ode_solver_train(1000)\n",
         "\n",
         "result_np = result.detach().numpy() # Convert to numpy array\n",
         "\n",
@@ -656,21 +342,6 @@
         "plt.plot(result_np[:,2], result_np[:,0])\n",
         "\n",
         "plt.show()"
-      ],
-      "execution_count": 10,
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": "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\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        }
       ]
     },
     {
@@ -684,25 +355,7 @@
     },
     {
       "cell_type": "code",
-      "metadata": {
-        "id": "kwktnR93ripb"
-      },
-      "source": [
-        "ode_solver = ODEDNNSolver(\n",
-        "    ode=ode,\n",
-        "    init_vars=ode_init,\n",
-        "    init_coeffs=ode_coeffs,\n",
-        "    dt=dt,\n",
-        "    solver=\"rk4\"\n",
-        ")\n",
-        "\n",
-        "result_train = ode_solver(1000)"
-      ],
-      "execution_count": 11,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
+      "execution_count": null,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -710,23 +363,36 @@
         "id": "aVYankyRrwoW",
         "outputId": "bc16f6f1-c234-44cb-c9e6-ce0b4f5e8f45"
       },
+      "outputs": [],
       "source": [
         "loss = torch.nn.MSELoss()\n",
         "loss(result_train,result)"
-      ],
-      "execution_count": 12,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "tensor(0.0529, grad_fn=<MseLossBackward>)"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 12
-        }
       ]
     }
-  ]
+  ],
+  "metadata": {
+    "colab": {
+      "name": "DuffingTest_DNN.ipynb",
+      "provenance": [],
+      "toc_visible": true
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.9.6"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
 }
diff --git a/torchts/nn/models/hybridode.py b/torchts/nn/models/hybridode.py
index a4d6d6a1..14a68473 100644
--- a/torchts/nn/models/hybridode.py
+++ b/torchts/nn/models/hybridode.py
@@ -48,7 +48,7 @@ def euler(self, nt):
             prev_val = {var: pred[var][[n]] for var in self.var_names}
 
             for var in self.var_names:
-                new_val = prev_val[var] + self.ode[var](prev_val, self.coeffs) * self.dt
+                new_val = prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnns) * self.dt
                 pred[var] = torch.cat([pred[var], new_val])
 
         # reformat output to contain desired (observed) variables
diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 76933707..9093f159 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -52,7 +52,7 @@ def get_coeffs(self):
         return {name: param.item() for name, param in self.named_parameters()}
 
     def _step(self, batch, batch_idx, num_batches):
-        (x,) = batch
+        (x,_) = batch
         nt = x.shape[0]
         pred = self(nt)
         return self.criterion(pred, x)

From 5fdbacf3397fc1cb0cd41e036e4c3f010ef96c65 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 20 Dec 2021 02:40:41 +0000
Subject: [PATCH 70/73] Add pre-commit fixes

---
 torchts/nn/models/hybridode.py | 5 ++++-
 torchts/nn/models/ode.py       | 2 +-
 2 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/torchts/nn/models/hybridode.py b/torchts/nn/models/hybridode.py
index 14a68473..66d2b913 100644
--- a/torchts/nn/models/hybridode.py
+++ b/torchts/nn/models/hybridode.py
@@ -48,7 +48,10 @@ def euler(self, nt):
             prev_val = {var: pred[var][[n]] for var in self.var_names}
 
             for var in self.var_names:
-                new_val = prev_val[var] + self.ode[var](prev_val, self.coeffs, self.dnns) * self.dt
+                new_val = (
+                    prev_val[var]
+                    + self.ode[var](prev_val, self.coeffs, self.dnns) * self.dt
+                )
                 pred[var] = torch.cat([pred[var], new_val])
 
         # reformat output to contain desired (observed) variables
diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 9093f159..6e217b06 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -52,7 +52,7 @@ def get_coeffs(self):
         return {name: param.item() for name, param in self.named_parameters()}
 
     def _step(self, batch, batch_idx, num_batches):
-        (x,_) = batch
+        (x, _) = batch
         nt = x.shape[0]
         pred = self(nt)
         return self.criterion(pred, x)

From bf145373d3fdba9e356a8f3f8dffe40d57644d74 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Wed, 11 May 2022 17:09:37 +0900
Subject: [PATCH 71/73] Update ode.py

---
 torchts/nn/models/ode.py | 117 ++++++++++++++++++++++++++++++++++++---
 1 file changed, 109 insertions(+), 8 deletions(-)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index 6e217b06..82455e9e 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -8,13 +8,25 @@ class ODESolver(TimeSeriesModel):
     def __init__(
         self, ode, init_vars, init_coeffs, dt, solver="euler", outvar=None, **kwargs
     ):
+        """TimeSeriesModel for modeling ordinary differential equations.
+        Args:
+            ode (dict): ODE in dictionary form
+            init_vars (dict): Initial values for each variable
+            init_coeffs (dict): Initial values for each parameter
+            dt (float): Time step
+            solver (str): Numerical method for solving the ODE ("euler"/"rk4")
+            outvar (list): Observed variables
+            kwargs (Any): Additional arguments passed to TimeSeriesModel
+        """
         super().__init__(**kwargs)
 
         if ode.keys() != init_vars.keys():
             raise ValueError("Inconsistent keys in ode and init_vars")
 
         if solver == "euler":
-            self.solver = self.euler
+            self.step_solver = self._euler_step
+        elif solver == "rk4":
+            self.step_solver = self._runge_kutta_4_step
         else:
             raise ValueError(f"Unrecognized solver {solver}")
 
@@ -29,22 +41,96 @@ def __init__(
         }
         self.coeffs = {name: param for name, param in self.named_parameters()}
         self.outvar = self.var_names if outvar is None else outvar
+
+        # determines method of training
+        self.observed = set(self.outvar) == set(self.var_names)
+
         self.dt = dt
 
-    def euler(self, nt):
+    def _euler_step(self, prev_val):
+        """Computes a single step of the ODE using Euler's method.
+        Args:
+            prev_val (dict): Previous values for each variable
+        Returns:
+            dict: Euler's method step prediction
+        """
+        pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
+
+        for var in self.var_names:
+            pred[var] = prev_val[var] + self.ode[var](prev_val, self.coeffs) * self.dt
+
+        return pred
+
+    def _runge_kutta_4_step(self, prev_val):
+        """Computes a single step of the ODE using a 4th order Runge-Kutta method.
+        Args:
+            prev_val (dict): Previous values for each variable
+        Returns:
+            dict: 4th order Runge-Kutta method step prediction
+        """
         pred = {name: value.unsqueeze(0) for name, value in self.init_vars.items()}
 
+        k_1 = prev_val
+        k_2 = {}
+        k_3 = {}
+        k_4 = {}
+
+        for var in self.var_names:
+            k_2[var] = prev_val[var] + self.ode[var](k_1, self.coeffs) * 0.5 * self.dt
+
+        for var in self.var_names:
+            k_3[var] = prev_val[var] + self.ode[var](k_2, self.coeffs) * 0.5 * self.dt
+
+        for var in self.var_names:
+            k_4[var] = prev_val[var] + self.ode[var](k_3, self.coeffs) * self.dt
+
+        for var in self.var_names:
+            result = self.ode[var](k_1, self.coeffs) / 6
+            result += self.ode[var](k_2, self.coeffs) / 3
+            result += self.ode[var](k_3, self.coeffs) / 3
+            result += self.ode[var](k_4, self.coeffs) / 6
+            pred[var] = prev_val[var] + result * self.dt
+
+        return pred
+
+    def solver(self, nt, initial=None):
+        """Numerical simulation of the ODE using the selected solver method.
+        Args:
+            nt (int): Number of time-steps
+            initial (dict): Initial values for each variable
+        Returns:
+            dict: Prediction of each variable after nt time steps
+        """
+        if initial is None:
+            initial = self.init_vars
+
+        pred = {name: value.unsqueeze(0) for name, value in initial.items()}
+
         for n in range(nt - 1):
             # create dictionary containing values from previous time step
             prev_val = {var: pred[var][[n]] for var in self.var_names}
+            new_val = self.step_solver(prev_val)
 
             for var in self.var_names:
-                new_val = prev_val[var] + self.ode[var](prev_val, self.coeffs) * self.dt
-                pred[var] = torch.cat([pred[var], new_val])
+                pred[var] = torch.cat([pred[var], new_val[var]])
 
         # reformat output to contain desired (observed) variables
         return torch.stack([pred[var] for var in self.outvar], dim=1)
 
+    def fit(self, x, y, max_epochs=10, batch_size=128):
+        """Fits the model to the given data.
+        Args:
+            x (torch.Tensor): Input data
+            y (torch.Tensor): Output data
+            max_epochs (int): Number of training epochs
+            batch_size (int): Batch size for torch.utils.data.DataLoader
+                Set to x.shape[0] if unobserved variables are present
+        """
+        if self.observed:
+            super().fit(x, y, max_epochs, batch_size)
+        else:
+            super().fit(x, y, max_epochs, x.shape[0])
+
     def forward(self, nt):
         return self.solver(nt)
 
@@ -52,7 +138,22 @@ def get_coeffs(self):
         return {name: param.item() for name, param in self.named_parameters()}
 
     def _step(self, batch, batch_idx, num_batches):
-        (x, _) = batch
-        nt = x.shape[0]
-        pred = self(nt)
-        return self.criterion(pred, x)
+        x, y = self.prepare_batch(batch)
+
+        if self.observed:
+            # retrieve numerical simulation of single time-steps for each datapoint
+            self.zero_grad()
+            init_point = {var: x[:, i] for i, var in enumerate(self.outvar)}
+            pred = self.step_solver(init_point)
+            predictions = torch.stack([pred[var] for var in self.outvar], dim=1)
+        else:
+            # retrieve numerical simulation of the whole dataset
+            nt = x.shape[0]
+            predictions = self(nt)
+
+        loss = self.criterion(predictions, y)
+        return loss
+
+    def backward(self, loss, optimizer, optimizer_idx):
+        # use retain_graph=True to mitigate RuntimeError
+        loss.backward(retain_graph=True)
\ No newline at end of file

From eb411c7982452c84792410fd4096d36d31b42ee9 Mon Sep 17 00:00:00 2001
From: amartyamukherjee <am4521ty@gmail.com>
Date: Wed, 11 May 2022 17:15:26 +0900
Subject: [PATCH 72/73] Update ode.py

---
 torchts/nn/models/ode.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index cb0a6883..f90c8878 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -9,6 +9,7 @@ def __init__(
         self, ode, init_vars, init_coeffs, dt, solver="euler", outvar=None, **kwargs
     ):
         """TimeSeriesModel for modeling ordinary differential equations.
+
         Args:
             ode (dict): ODE in dictionary form
             init_vars (dict): Initial values for each variable
@@ -49,8 +50,10 @@ def __init__(
 
     def _euler_step(self, prev_val):
         """Computes a single step of the ODE using Euler's method.
+
         Args:
             prev_val (dict): Previous values for each variable
+
         Returns:
             dict: Euler's method step prediction
         """
@@ -63,8 +66,10 @@ def _euler_step(self, prev_val):
 
     def _runge_kutta_4_step(self, prev_val):
         """Computes a single step of the ODE using a 4th order Runge-Kutta method.
+
         Args:
             prev_val (dict): Previous values for each variable
+
         Returns:
             dict: 4th order Runge-Kutta method step prediction
         """
@@ -95,9 +100,11 @@ def _runge_kutta_4_step(self, prev_val):
 
     def solver(self, nt, initial=None):
         """Numerical simulation of the ODE using the selected solver method.
+
         Args:
             nt (int): Number of time-steps
             initial (dict): Initial values for each variable
+
         Returns:
             dict: Prediction of each variable after nt time steps
         """
@@ -119,6 +126,7 @@ def solver(self, nt, initial=None):
 
     def fit(self, x, y, max_epochs=10, batch_size=128):
         """Fits the model to the given data.
+        
         Args:
             x (torch.Tensor): Input data
             y (torch.Tensor): Output data

From cf9f9a4553879e0a673061906129e6c731cc9a9f Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Wed, 11 May 2022 08:15:36 +0000
Subject: [PATCH 73/73] Add pre-commit fixes

---
 torchts/nn/models/ode.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py
index f90c8878..973b3eea 100644
--- a/torchts/nn/models/ode.py
+++ b/torchts/nn/models/ode.py
@@ -126,7 +126,7 @@ def solver(self, nt, initial=None):
 
     def fit(self, x, y, max_epochs=10, batch_size=128):
         """Fits the model to the given data.
-        
+
         Args:
             x (torch.Tensor): Input data
             y (torch.Tensor): Output data